From 4094482d0d31976ee27434742e89b41ed5aed911 Mon Sep 17 00:00:00 2001 From: JoaquimStr Date: Wed, 28 Jan 2026 15:09:07 -0500 Subject: [PATCH 1/6] =?UTF-8?q?=F0=9F=A7=B9=20JS:=20deleted=20unused=20lib?= =?UTF-8?q?raries?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- getting_started.ipynb | 17788 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 17788 insertions(+) create mode 100644 getting_started.ipynb diff --git a/getting_started.ipynb b/getting_started.ipynb new file mode 100644 index 0000000..ab280cb --- /dev/null +++ b/getting_started.ipynb @@ -0,0 +1,17788 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 🧹 *****BrainHack Montreal 2026*****\n", + "\n", + "Contributor: Joaquim Streicher\n", + "\n", + "Date: 2026-01-28\n", + "\n", + "## ***Main modifications***\n", + "I tried to merge the three following tutorials into one:\n", + "\n", + "https://github.com/ppsp-team/HyPyP/blob/master/tutorial/getting_started.ipynb\n", + "\n", + "https://github.com/ppsp-team/workshops/blob/practicalmeeg-2025/01_-_Short_Getting_Started.ipynb\n", + "\n", + "https://github.com/Ramdam17/ConnectivityMetricsTutorials/tree/main\n", + "\n", + "I also attempted to simplify steps to make it more straight-to-the-point for a total beginner." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "y-pfFSz18Q4H" + }, + "source": [ + "# HyPyP Demonstration Notebook\n", + "\n", + "Authors : Guillaume Dumas, Anaël Ayrolles, Florence Brun\n", + "\n", + "Date : 2022-11-03\n", + "\n", + "This notebook demonstrates the basic functionalities of the [HyPyP](https://github.com/ppsp-team/HyPyP/tree/master) library for hyperscanning EEG analysis. \n", + "\n", + "In this notebook we:\n", + "- **Load libraries** for core operations, data science, visualization, and EEG analysis (using MNE).\n", + "- **Set analysis parameters** such as frequency bands.\n", + "- **Load and preprocess data** (including ICA correction and autoreject) for two participants.\n", + "- **Perform analyses** such as power spectral density (PSD) estimation and connectivity analysis.\n", + "- **Run statistical tests** (parametric and non-parametric cluster-based permutations) on the computed data.\n", + "- **Visualize** the results with sensor maps and connectivity projections in both 2D and 3D.\n", + "\n", + "The expected outputs are cleaned EEG epochs, PSD values, connectivity matrices, statistical test results, and visualizations that help interpret inter- and intra-brain connectivity." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "A4IgW3om9IU0" + }, + "source": [ + "## Load useful libs" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "k8CzpXYK-r3e" + }, + "source": [ + "### Core" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "***JS modifs: Deleted unused libraries***" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 156, + "status": "ok", + "timestamp": 1655930106982, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "vo3ERaid-iPl", + "outputId": "f05795e1-7150-4a01-fa69-97163463cdb1" + }, + "outputs": [], + "source": [ + "from copy import copy\n", + "from collections import OrderedDict\n", + "import requests\n", + "import tempfile # For creating temporary files" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "znOQzh9r-1Yx" + }, + "source": [ + "### Data science" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "executionInfo": { + "elapsed": 129, + "status": "ok", + "timestamp": 1655930432883, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "7ucpsQ-B-3gW" + }, + "outputs": [], + "source": [ + "import numpy as np # JS: maybe not necessary\n", + "import scipy" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sW7qWiIs-7O6" + }, + "source": [ + "### Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": { + "executionInfo": { + "elapsed": 7074, + "status": "ok", + "timestamp": 1655930117639, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "Td3SvvL5-_ZS" + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Dhe5T4sg_pLL" + }, + "source": [ + "### MNE" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "executionInfo": { + "elapsed": 9, + "status": "ok", + "timestamp": 1655930117640, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "44EAOkjB_tSD" + }, + "outputs": [], + "source": [ + "import mne" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "11_d8YYB_xAH" + }, + "source": [ + "### HyPyP" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "executionInfo": { + "elapsed": 9, + "status": "ok", + "timestamp": 1655930117642, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "KbeUfCja_0e6" + }, + "outputs": [], + "source": [ + "from hypyp import prep \n", + "from hypyp import analyses\n", + "from hypyp import stats\n", + "from hypyp import viz" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GhNB0IGwBIH7" + }, + "source": [ + "## Setting Analysis Parameters\n", + "\n", + "We define the frequency bands used in the study. Here we use two bands within the Alpha range. We also use an `OrderedDict` to preserve the order of the bands.\n", + "\n", + "# ***JS modifs & suggestions:***\n", + "- Could explain more why selected bands\n", + "- Unclear why OrderedDict." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "executionInfo": { + "elapsed": 155, + "status": "ok", + "timestamp": 1655930118883, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "Hra1lCwpBMmX" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Frequency bands: OrderedDict([('Alpha-Low', [7.5, 11]), ('Alpha-High', [11.5, 13])])\n" + ] + } + ], + "source": [ + "# Define frequency bands as a dictionary\n", + "freq_bands = {\n", + " 'Alpha-Low': [7.5, 11],\n", + " 'Alpha-High': [11.5, 13]\n", + "}\n", + "\n", + "# Convert to an OrderedDict to keep the defined order\n", + "freq_bands = OrderedDict(freq_bands)\n", + "print('Frequency bands:', freq_bands)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "MqKQJkbyDztm" + }, + "source": [ + "# ***JS: USE SIMULATED DATA INSTEAD***\n", + "\n", + "## Loading Data \n", + "\n", + "In this section we download the EEG datasets for two participants, convert them to MNE Epochs, and equalize the number of epochs across participants. \n", + "\n", + "The function `get_data` downloads a dataset from a given URL and saves it to a temporary file with an MNE-compatible filename." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 2738, + "status": "ok", + "timestamp": 1655930127424, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "ZQKz8DmyEJdD", + "outputId": "2cf8461d-e2de-4e56-be9f-ec00f393bcaf" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading C:\\Users\\Joaquim\\AppData\\Local\\Temp\\tmpmwo70uow-epo.fif ...\n", + " Found the data of interest:\n", + " t = -500.00 ... 500.00 ms\n", + " 0 CTF compensation matrices available\n", + "Not setting metadata\n", + "260 matching events found\n", + "No baseline correction applied\n", + "0 projection items activated\n", + "Reading C:\\Users\\Joaquim\\AppData\\Local\\Temp\\tmpcnf460t7-epo.fif ...\n", + " Found the data of interest:\n", + " t = -500.00 ... 500.00 ms\n", + " 0 CTF compensation matrices available\n", + "Not setting metadata\n", + "36 matching events found\n", + "No baseline correction applied\n", + "0 projection items activated\n" + ] + } + ], + "source": [ + "# Template URL for downloading participant data\n", + "URL_TEMPLATE = \"https://github.com/ppsp-team/HyPyP/blob/master/data/participant{}-epo.fif?raw=true\"\n", + "\n", + "def get_data(idx):\n", + " \"\"\"\n", + " Download EEG data for a given participant index and save it to a temporary file.\n", + " \n", + " Parameters:\n", + " idx (int): Participant index number.\n", + " \n", + " Returns:\n", + " str: File path of the temporary file containing the EEG data.\n", + " \"\"\"\n", + " \n", + " # Format the URL with the participant index\n", + " url = URL_TEMPLATE.format(idx)\n", + " \n", + " # Download the data\n", + " response = requests.get(url)\n", + " \n", + " # Save the content to a temporary file with the suffix '-epo.fif'\n", + " temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=\"-epo.fif\")\n", + " temp_file.write(response.content)\n", + " temp_file.close()\n", + " \n", + " return temp_file.name\n", + "\n", + "# Load epochs for two participants using MNE\n", + "epo1 = mne.read_epochs(\n", + " get_data(1),\n", + " preload=True,\n", + ") \n", + "\n", + "epo2 = mne.read_epochs(\n", + " get_data(2),\n", + " preload=True,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CySwVIa4FYTg" + }, + "source": [ + "Since our example dataset was not initially dedicated to hyperscanning, we need to equalize the number of epochs between our two participants." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 276, + "status": "ok", + "timestamp": 1655930131060, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "_Sd3cH2vFcwP", + "outputId": "9d32b0e0-0b7f-4490-d9d9-26f51f96957d" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dropped 224 epochs: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 117, 118, 119, 120, 121, 122, 125, 126, 127, 128, 130, 131, 134, 135, 136, 137, 138, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 172, 173, 175, 176, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 219, 220, 221, 222, 223, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259\n", + "Dropped 0 epochs: \n", + "Sampling rate: 500.0\n" + ] + } + ], + "source": [ + "# Equalize the number of epochs between participants\n", + "mne.epochs.equalize_epoch_counts([epo1, epo2])\n", + "\n", + "# Define sampling frequency from the first participant's data\n", + "sampling_rate = epo1.info['sfreq']\n", + "print('Sampling rate:', sampling_rate)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "6-4jzVNbGs4R" + }, + "source": [ + "## Preprocessing Epochs\n", + "\n", + "### ICA Correction ***JS: not clear why selecting subject + ICA***\n", + "\n", + "We perform Independent Component Analysis (ICA) on the data from both participants to identify and remove artefactual components. First, we compute the ICA using the HyPyP function `ICA_fit` and then choose the relevant components for artefact rejection using `ICA_choice_comp`." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 31515, + "status": "ok", + "timestamp": 1655930168866, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "2w8HX49THEKh", + "outputId": "1554aeb7-e612-4bea-9f22-28940f0c18da" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Estimating rejection dictionary for eeg\n", + "The rejection dictionary is {'eeg': np.float64(0.00010129807784293706)}\n", + "0 bad epochs dropped\n", + "Fitting ICA to data using 31 channels (please be patient, this may take a while)\n", + "Selecting by number: 15 components\n", + "Computing Extended Infomax ICA\n", + "Fitting ICA took 1.5s.\n", + "Estimating rejection dictionary for eeg\n", + "The rejection dictionary is {'eeg': np.float64(4.747409473367548e-05)}\n", + " Rejecting epoch based on EEG : ['Fp1', 'F7', 'FT10', 'T8', 'TP10']\n", + " Rejecting epoch based on EEG : ['Fp1', 'FT10', 'TP10', 'O1']\n", + " Rejecting epoch based on EEG : ['Fp1', 'FT10']\n", + " Rejecting epoch based on EEG : ['O1']\n", + "4 bad epochs dropped\n", + "Fitting ICA to data using 31 channels (please be patient, this may take a while)\n", + "Selecting by number: 15 components\n", + "Computing Extended Infomax ICA\n", + "Fitting ICA took 1.9s.\n" + ] + }, + { + "data": { + "image/png": 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", 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88w6OHDmC4cOHV/rvEBC4XPrChx9+CJvNRvc/+OCDlGiMHj1a/MACV1RfeOuttyjRJwGUBc4fgmj/P2LlypV08NKvXz9YLBZa9vjjj9MORGap9CDlgaDfF6huZetVtE9A4HLrCwICFwMutr7w7bff4r333qMK3p133nkOf4mAwOXRFwih2bx5MxYuXIihQ4fio48+wvPPP38ef5GAwKXZFzZt2oTx48dj0qRJCA0NFT/jP4Ag2ueJmjVr0jWZXaosJk+eTNckfUR+fj5dSGj/bt26Yc6cOfQzQ3x8vOFMa25urmZGitQjCFSXn7kKdE6SUsDpdBrOcgkIXI59QUDg38Cl3heIgvL000/jqaeeouRCQOBK7AvEva59+/bU1PeDDz7AyJEjaYqv7du3V/pvERC4lPsCMVe/5557aD9g32+32+m+wsJCFBUViR+4khBE+zyRnJxM844uWrQIpaWlFdYvKCignYOgQ4cOiI2NVRbiC0ca8PTp05X65Ny7d+/2Ow8ra968uWYdqC7bz86ZlZWF9PT0cs8pIHC59wUBgX8Dl3JfICR7wIABVEH56quvhAWIwBXbF/To2LEjXR86dKjCugICl0NfIH7ds2bN0nw3cakgqFevHq6++mrxQ1cSgmj/AxD/BRIs44UXXvALTkBQXFxMOxYB6RQksMCoUaOof4V+IUnjeXMQMot14MABbNy4USkjwTmmTZuGTp06oVq1arSM+G+QlwApJ74UDBs2bMDBgwfpjBQDMQMkpiHff/+9X8AFYhpy0003/ZPbIXAF41LrCwIC/xYuxb5A3gGEZD/yyCPUdFy4WQhcqX3BCMwntn79+v/wjghcqbjU+oLR95JJWIK5c+fS94RAJXE+ocqvVBgloH/rrbdoWdeuXX1TpkzxrVy50vf333/73nnnHV9ycrKSgL5du3Y0tH9ZWZnhuV9++WV6nh07dtDPJF9js2bNfDVq1KBptxYvXuy7++67DRPQL1++nJaT/aQeqU+OM0pAP2DAAF9wcLDvo48+oud54403aG7t995771+4YwKXKy6HvkCOnTVrFl1CQkJ8PXr0UD5nZmb+C3dN4HLEpd4XSH5Xkp+1bdu2NJ/q+vXrNYvIHSxwpfSFt99+2/f000/T/eQcc+fO9Q0cOJCmWLrvvvtEQxC4YvqCEUR6r/ODINr/sOMQkM7Su3dv2lFIvrmoqChfly5dKJklSeh37txJj2OdyAgHDhygdZ5//nmlLD093de3b19fXFwcJQKdO3emHcMIJMce2U/qkfrkuIyMDL96TqeTdpaaNWvSvJAkd96nn356LrdBQOCy6Avdu3en32O0kJeRgMCV0Bf69esXsB+Q5fjx46IhCFwRfeH333+nOYmTkpIoGYmIiPB17NiRjpFEDm2BK6kvGEEQ7fODifxTWfVbQEBAQEBAQEBAQEBAQECgfAgfbQEBAQEBAQEBAQEBAQGBCwhBtAUEBAQEBAQEBAQEBAQELiAE0RYQEBAQEBAQEBAQEBAQuIAQRFtAQEBAQEBAQEBAQEBA4AJCEG0BAQEBAQEBAQEBAQEBgQsIQbQFBAQEBAQEBAQEBAQEBC4grBfyZALlg2RSc+Xnw5mdDVdODpw5OXDlknU2XLl58DrtgNcLn88LeDwAvDBZrDBZLNJitcIaHg5bXAJscXEIio+na+lzPCyhoeInELgkQLMKej108XncgNcNn8cFeMjaTSrQNL4mn0/qDzJM6hkAkwWg/cMKWGwwWWx0DasNJrPlP/rLBATOvS/Y3V6Uujwoc3lgJ4vbC6fHC5fHh7TTp3D6+GFc3fN6WMwmWM0mBFnMCDKb5M+AzWxGkJVsm7F71060atkCFtI3zCaYTGI+XeDS6QtOjw8Ot0du/164vT64PT6a1J08/80mdU0Wi8kEs9mkbFvI2myGxULKTEg9cwbVqlWDzWaDyaS+QQQELva+UJydi4KzGShIy0T+2Uy6XrJmJRqFxcNZWgaP2wOv2w2Pyw2v1wuL1QqLVeIKZqsJewsycWOXqxGdnIi4lCTEJCciqloSIpMTERQR/l//iVcMRB7tfwGk4ZceO46i/QdQdOAASg4dhiMjE668XEoiyMOeDoDkhbw16AuA/M+VS+8E+a3CfjCuTPvOMMEcFoqguDgEJ6cgrH4DhNVriLB69RGUkPhv/JkCApUj1G4nfC6HvNjhc7sosdbVlMm1FoRo033SydR6jHz7fDApx7J9hISbKOGGNRim4HC6gKxtweJXE/hP4PH6kF3iQFqRA5nFDuSUulDqclNCYYJEoBmRJmsb3TbjwJb1OL5/Nx56chCCrGZKsoMJ0bZIdW2UaJtgs0jHPHDfvZgz42dYfG6Y6OSVCyafF2azmfYJsy0ECAoTfUHgP4PL7Uax04u8MhcK7NJid3nh8nrpWIgQZtr+aRs3y+1bWlvMPKGW6pIys1ymEG5SBuDxx/rhi88/Q2R4GJ3YNZvIO8MsCxhWmNlkrYDAfwCP2420fYdxcstunNq6G6d37EPeqVQUZmRTAk3AJpkIFiATN8F/TM9GT1I9HxzwYh3ycL0pgfaDYLMJoRYzQi0m+v6IiAqnxDu+Xi1Uad0MCa2aIbZVM4SlJP+//e1XCsTT5QKQ6hJCqvfup8S6+MABFB86Aq/TKRFhQqo16wAnksn2P5lw9ZaVwXE2FY60syjavln5Tmt0DMLqEeLdAKFkqdsAQfFVzv+LBAQCkGqqSjNS7XbA53TIrwBCgAMT6orBEWnllSKTbL6KQsq9gMsOOO3wleTDx44lAypKvCNgCokAQiIE4RD4V0h1RpEDqQVlOFtoR1qhHZklTrqPkWlCIojyRrfNaqvWw2qzISmluvQ8l18h7DUhraVZV/k1I08+sS4jT0p5nPA5JNLtJX2UTH6R+aigUNoHvEFhyC1zI6lGbdEaBC4ovD4f8stcyCl1IrfUhbxSF/76dQbadr8BYRERsjItjVUYgdajvKGTUV2+cmlpKcLDiXonTc76PMRq0A24vHQCykMsq4hCTgg3sYYik7O2YLotIPBvkeqThFSTZed+uO1knERbp9x4VdrMk2w2+uHL/Nq+DCd8sKlvCI01B9lyF5ei6OhJOI6fQtayNbCR/mcxozg6HNsjrRj4wIOIbtkM0c2bICS5qmgI/wCCaJ8HnPn5yF65BtkrViN3/UZ4SktURZo15nNgzOoxyj8XFO7CAhTt2ILiXVsVtTwosSoi23ZEZNtOCG/UnJqaCAicK3xeD7yOMnidpfA5y6RBvkKkeVL8D1HeaRTy7auYoBOSQYg3Jd8ybCEwRcTRBaGRwtRW4LxQ4nBjb0YR9qYX4mBWMVxuHyXVxKyVKm8ywVZaJW2WxDVCGkwFasV1GjdDSFArZcjEJmwVss22TSaUlZYhLCzM/2zySvNNbhd89mL48tLw+7K1OJWWiWcfvBvm2CSY41JgikmCiajgAgLnCOL+cLqgDKfyy5BaYIfb56OqGiPUHXrdjj0bVqLtNddL/aCi4c85DaukSSepk/ioSS35XsKz/Xoae1dRFyapP8DngcnrBcxmmELCYQ6NkiZkhQuGwHmgOCcPe/5ahp2/L8b+RWtgLyo2JMo+fduVS9XPPr+9Ug21XD2vCU54EUQsNziOwfcfNjGrTN7Kk7UbMs4gKseKY19MhtlmhtlqRnitFFTpeQ3ir7ka0W3bwCz4wjlBsKtKouTYCWQuX4Xs5StRsHOP5F9akUp9DlDUbD+T8H8HruwM5C35E/nL/oI5PAIRLdoisnUHhDdvB0t4xL9/AQKXLIjpt9dZBq+jlCrXF4xMV/jF50vcK1DRifJekA5fYQaRNWAKiwHCY+lamBQKlIf0Qjt2pRVi99lCnMwroQ9vMrShAxgT31r9H+rqcJ+QbbIhH6Brqiv+nIOkqsnofv1NyrtB8SDSDZzS09OQXK0aN+zi3S946w9J6abxD3xe/Ll6E9587F747EXwnMmH++Re2hfMcckwJ9SEJbGmsPwQKBd5ZU6cyC3FifwyZBU7lIG7NJg3Kc2b+ldbrVg880e0vfp6TbNXjJJ07Zqu+bZfCZhkBdFi4eJ1GM4BGxXKLk+FZfDmp0vnIxZQ5L1AJmVJLBABgQBIP3gUu35fjF2/L8Wx9dvgpTGX/Nu0f5nU+FVdm1FoCR5IE1Z8Pc6uSdOeS+FBGCyBv9NkRLaBbfZi/K9KDZB5Jebmak9LR+rMWUj7dQ5sMVGI69wJcV27IqZjZ1gjI0U7qACCaJeDgt37kPbnAmQtX4XSE6f8TcHZXNIlHl/DV1aC4i1rUbJtPWC1IqxBU0S0bI+IDt1gjYz+ry9P4CKA1+WE11FCCTYJWCbh/4lgny/KE7oDgSgbxblASZ40lxwSCVN4DEyR8WJwJUBxMrcUm07lYVdaATKLJBchopixIE0+kzQIUjQJRbkmZrSAmX4O/NLgPSAISouKEF6/oWZABN2a7UtLS0M1ZubHZHPmtsHiF/AWJz4fJSOpmTmomRhPLVSk+Ac+6gLiTTsGT+phuAg5ikmEOak2rNUbwxRMVHOBKx0k1sCh7GIczy2jftasL1AyTSqUQ46tNivcLidsQUFKGT+BJBF1fwVPrce5S/B1uMqnTp1CzZo1tVZPLNCm3tqJ9QufgWsSCdJZmA3kp1N3QfpeiEqAOT4FJhLzQOCKBzEF3/zzPOz+YxkyDh0NoFlrtWh9HUastc94VbMugRsRlLYZ9wv+qDJ4EMoRbbZHmQDjF/n9UUJieZiAMKJYU5LN+iITA03wlpQgd+UK5K9dBUuwFZEtWiKm81WIveZa2KJjrvh2YARBtHXwOBxI+2MBTv80EwW79moCj0mNnTX6y4NkS1B6EvVZsh/ZC/ux/cidPwNnqtRE1a7XoWG3nv/1RQr8P4OQA0quy4rhc0v+pZcGyjPEPcfz2IvgcxTBl5sKU0QsTFGJkrIhcEWBRD/eeDIPK45kU6KtPDL1OgIh1PJARv5I6/IcVxrHkw1jlZut2TCsaduOqF5L8p1WBzxSPY0iYQKyMjORmEgC5fDEwuDMzF7X58PuIyfQqkEtRd1WL5Kv64E3+ww8mafg2r0almr1YK3bGpaE6v/iXRe4GOH2enEoqwS70wuRUcx8S2XzVNqspGCUCj0I4FD61DtjYTHwg5YG/7xvKdviamhjxPq7UcjYs2cPmjZpovsGXeBMxeqDI9msf2jigpDJMtkSpDgHvvx0eE7soi4Wlqr16USUwJUFl92Ozb/8gZVfTMPJzTt15Jk36tbvIeANvtlno86iniMXLsTAZnB2BqmUrEvgQTLU4K9GE7Ma0m0CNtoL0TksmgvUrLzoNAsl4GS/z4uSfbtQdmgPMmZ8h5jOVyOu160Ib9TsAt3hywOCaMsoOXkap6bNROrseXAVFHK3iDXbC0WydbLEhQIzIzwfE3S/qS1p5oqoe+O+/wmvnjyAs1uXIbLztQhv3QXmYDGDezmDRMb32IvhLSuhA+wLDu3bJuAOTaAzzQUGOt6gDn/q8+HcyiDPBx9RuUvygaBQmKKqwETMCEUascsamUUOLD+ShTXHclDi9Cjk2nB4Q4gz387kSnRszpmRB5oCkhIYsTG+yqRdTgfCI0nsAO236kk2QW5uDmrwUWNlsqD6pvI7JBKx/cBRtGtUTyEeEpngtuV6PuK3ShYSQOrUPrhP7IE5KgHWem1grd0CJpuqTApcfiABzXamFWBfRhEcHqWFqqRXzvagmr2qCSCM8OukT/DokOGawRAj2aqKpm3fevDEWu9GQbBl82b06XOfllj7dQWeZLMYI7pJKv1MGesbHje8mSfhTTsChEZhc0YZOt90N6xijHRZI+voSaz8chrWfzcLJbn53B6tFq2dDNK2c/9jjMATbxMy4EB9hHHn09N3dYqqEC40QrifQu6vZkvjfbK93l6I1xJrKZO5ejVbmzFJzZJEK3k8KNiwEkWbVyOkVl3EXnszojt3hzlEpB2+ook2GThkLlmJkz/OQNaq9RqzJb8p0wsBXaPVtPZ/dF7/yOZ8UDa2z392SmHnfucjRbl2BxweL6pFRcCdcQZ5f/yIgiW/IqJNF4R36AFblWr/8MIFLhZQ01annRJsye+alv4DhloeODmO951W3hf8dxrREp0vndH1KafgyI80GjyHP4cfuXH9xGWHN/cMkJdOVW4zMSsX5oOXVZTknakFWH44mwY2O9fWr/pdS36pgSopdfRWq7pjFs7+Cc1btaXbmleGwblzcnLQuoWsJugJgwFZIDu2HziGwX1u0SrZnOJtpHAzMu7Nz4Rz899wbF8CW+0WsDZsD4tQ9i4bkN/5aG4pdp4twIm8UmkgzwXfo6sAinVFSD91gqac44cjbLzCkwBmiq43c9WQGN7Cgyvbt28fmhFFm6WBlBclJSRzk1DWZD9n1cFZeFCLD68c10CecAIr8/pgz07HiJETMS+oCN6UBrDWbglzVPw//xEELgqQoHq7/1yKlV/8iP2LVtP3hL8CHagzGKvb/oHM/NVsvjZRtGMRFKC+9tgyeBEum46rw32uf/ExFExAhteFWIsVoSSmgT7VsCbtsIaB6/iH9NmRehKZ0ychZ+50RHXpjphrbkRQ8pVr/WS9Ugl26m9/4dC4L1B2KlUtZ0E7aJuRZYh/gWwrPIM1TFb+L5Js49kpnj+o18E64S+7j6BPi/pKL6XnddpRsmUlSretRkiD5ojscSdsSVduB7oszMOdZfCUFkoB/vRBw1jbOK+UXOciZ3PlihwSoKpSLRBp5gky14/P62/QTUZRxYZJlcSEMBeekjyYQiNhjkqCKUhYe1yqIAOnDSdy8dvus8guJq4S5+8apOGoBudQhTJpqKW4UxvUtZeWIJSmJ9LCf1AGFBYUIpr4yWnyzyv/GKrWpzOyUDs5gSoSxmbj2voqIZHOR5V4px3OA5vg2L8R1uT6CG53PSzxIh/rpQrye+/PLMbaEzkosLv5Pdzkpc/PyuJczl+jfiO1QGcpQtY07gFHBFjEcj/CLb+j9CS7rKwMVqtVCoZGSTH3N3CEmrjLMVJN1Wx5oeU8IWdrEmhBId1snxdT/16FB3p2gMnthPvYTrgPb4W5Sk3YWlwDS6xIj3SpwuPxYMvPv+OP4Z8g+9gpjuJKay1pZtA/zLX6s5G2re1JsnUT1ysc8MEiZYDn6qtWtjpFQblKXjfUqNiaPmTC4rI89CKB/jjCbEy2/Xi2nyUt65MkYG7h6oUoWrcEYc3aIO7W+xGcUgtXGq44op2xZCUOfDABRfsPc+q1DJpmhWu2pn9JyZbL2HLO38M1bsOdhgQ8gJqtId1ytyQzUh4v1p/KwLNdWnLqO3eM2QTn8f3IPXUIIU3bIaLbrbBEi9nbSwleomCXFlJTcQXUz05n+3qhlG1dX1NItVJmdFAAxbqy30dJNvfSo5uVPJ/f5DI/KaZ7LdpL4LEfB8KiYYlKgMkqzGgvJexILcDsHak4nV9GPwd8vFYWlGD7tzM+87tCZ3mybXCq59/5yNBsnF8zFJcUIyKCMxf0CwLFvpldpO6i9eRaUyYTa735rBzojUV7c50+COfJg7DWbY7QDr1gEareJYWjOSVYfTwHWXLed39Is0dSkzw/OTsr9RTuevJF6YPhsEQdk0iBBhmRVomDcrDmozo5tnb1anTr1k1rFWXke61Zy4QaBiSbU7GpG4WiZntRVmbH7+u24/d3nlX3EReLtKNwnz4ES43GCG5zLcyRced8rwT+O2ybtwhPP9EfbXLNCsFVoW17KpVWS/3pdmV7jL9WfhKlqIVQHZlW13xdEggtRI5PDjZhxS1Sqj1pLb1bfDjqsuPxkGTZJFxa/Mm2lgcEUrSV4zjeUXZwJ9KO7EV4my5Ap2tRpW5DXCm4YpJk5mzejjV39cXGR59Fwd5D8gBBF4T1X4DGDJ1TnLUDJ44Ml3MeP+JcDtfW1zVSs/XkWep50vZv+0/gnmZ1qWmXdLxZ459B6pEcq5RwH96BvGljULJqLrylRRf+Jgpc8AjirsIcuIvztCT7XwFPCQJNDAXaV4nTntflaOZ2+SnYwDNfjKdr1G3WAeWXHVG77UVwZ56ApyDz/+HeCvxTHMkqxvuLD2H8yiMKyWZgabf+yfvB32JbIqcVnZNvob9P+5abI9XHYdaqfKUlpYgwUL8rfb2aWYAKXpAGPqs+2YyWRC8n74WC6WNRLN4LlwRSC8owffsZzNmdVg7JvjD4ZcJoeFwkBZjaplk7ZhH8+Uj+/DCKV7/1Ptr822bx4sW4odf1GpVaq2CXp2arqjVPrKU4BR4577a87fPi6z+W4/Ebr4KFjKg5c3LaH3xeuI7tRtHsCShdM0+MkS4BHF23BR9d0wdf3/UUQnNLcQDF3N7Kiw5GOoKeeFfmWILjKEUd6p+t/X79FCzZkwMn4hGkUbD1/YrltSfbqV4nagaFwGyRxvSMJPsp2YEUboNyiSNw55Kv+8iapeh7643I/WMaPMV8PKzLF5e9op22bReGPdYf16cXI5T5A5EBsTyrKSm45Qft+KfQBxPgRGd5Q/qnwu/Xq9RKuV9FQ7Ktsx3xD3Agbzs9Xvx58ASm9rlOOztFibW8kN7FdySfF469G+A6sgMhrbohuEU3YUZ7kcFLgpyVFsHnsquF8mzmBXfDVs4v/6OYr/rP+p77l3OzxfR053K8gTuIEclWZ6KURZo91u/XbcufvaWF8NqLYQ6PhZlG8bxi5jQvCaTml+HXXWexPbXAsPkwwweiSktN7DzNyFkgNL17tOyfXT6kocnJIwe1czrlHOZw2BEcHHxul6i5AXo/bZ2yLVfhzciVCQQvR7ZlBZAQbsfONbDv3YTQ1lcjtG1PEUzzIgPJeb3yWA5VshmJ/Tdx+vABhIZHICI6lpvrl1OCKSatKpHmTcYVzYIz0KPF/OOX/OPzYd/+fWjUqBFHoolKbeSTbaBma3y0VfVaJdsSySbbOfmFWLxlD+a984xGzdb6cHvh83hg370OZXs2IaRlN4S2E33hYkPqnoOY+8YY7PpjqdK2SECxRchCEoIpeWXjGK3huDZ0srYXqZHA/R/eUghMoz7Hj5Zy4aSpuoJg1tTXUAjuqEw4pYjjjFAzBVtPsuX15rIidAqLCuyXXelFzxG0dubk6kYt3Yz/9WiL0i0rYd+zCRFdrkdEl14wB1++QdMuW6LtyMvHrhEf4+Qvc1HLUYzPyvLwUlQKrDQkvexbJA94GNm+YODdOo3EMf6twR1jXLkcM3GujPeP4A/UKto8udaSb6pYywr19F2HcV+L+gi2WjVKOiXWusiDqrItHQuvC85dq+A+ug3Bba6DtX7b8/bjErgwIC95d1kRNRXXP+z9fXv+JcatP3WlObZBRb/L1ZF3ypAMvrTcdmhEsgNMP2s6m6pm+5NvwFNaAI+9BJbwGJhDwkVf+I9R4nTj151nseZEDnVJLm/ah58bUpoB33102wpvNvBdlTyZA8bRV6BvbqR+cg0SBVY77cOPsPhBGvEntFBZrfIwej4bkmvur2F/kZ/y7VXXvNUYnA6UblqMsp3rEN7lJoS0vEr0hf8YZS4Plh3Jxu40KeAfbWNym6bCA6mkaxr+QxrtBKPfHt0Qh7SJxOq18MjLbynjLnXuXyXbKilgJFvnn82TDX3fALB161a0b9tWMtnkTMH9fLAroWZLpFobBI3mm6eLF+/+MA9vPHQLvWZGwvm1auUhL247SjYsRPHWlYi46haEtb1a9IX/GCRy+JxXRmPd1NnSb8zBAjN6IAFLkIWeSEAEDTCm9YzmoY8Grpp1698JcrvmPvHn42tvRwE6IbYS5udSaRYcaIUoqYQZqzLCbRD/YJ+zBH3ikzRRxLVqtZzOqwKVWxHfdOKdSf78277jaJGcgIaJcVJ9jxMl6xaibNc6RF5zG0Jbdb0s+8JlKbOcWbAMC7rdgePTf6UPuaa2MLQPjsD3xRmcqxlLpvJvUAv2AmAD8sDV+JyoyqF6NZp7oRieRjlGVbL9Tc2Vt5nGr0IfAb3I6cbyY6m4s1ld/7rsy5QyyaRc2/kkpZsMrJxbF8K+8hd4Swou7O0VqDSIeZ6zKFcm2QjcHss1neYnhkwVlkvm1Ub1zxHndGgA82+92lzRsUZKNZ2T8yfXhufXEG627aOE212US1UNgf8Gu88W4L3FB7H+ZB5NxcV7zLCBfGXmXBWTcvYe0W1LdSo4h6JqM0LPmQKyPNxk3tLrRd8XXlOphbxDTywYSH0a/OnfgOKTzRfpTMeVe2BsJUNiGRQvm42C2V/AU5D771ynQIU4mFWMSetPYMfZAnjkgHZsTMQmWdgcCoM6FNHFOuYUaY0pOG/eLdfZuXoxVv8+AxHRMVoCrfRFpripZuNKOl+lLhfgSWNGrp7r1zmzce+998o0h1eoK1CzA6jRlFR7JAWbmYsT4r3/xGnkF5WgS6Paiik5IeFkmzzrpbVEzNVtae0tLkLB/OnI/n4c3HnZotX+R9j5+2KMaNYL66bMVEi2FK1JfYQRNfkaxGMFcmCnkzaMOnPjHoUqS3sYyhn++xmA6+syNZso2ZGyLsrr40bwytdOAqexdwRvJq5ajUj78rxuRFtssMpm4/5kWk+++aBoXOA0eb/6UtW6pGaVluG3vccw8KoWMk+QVG96jKNUei/M+RKewsvvvWC+3FTsNQOHYtUjz6I0M1sdAAG4Ojia1tnqKDIYGP0LKh4/zjbazRNg/RyxhiCXP/LzJ9lGQQp4NZtTqP3qmvDpht14pnNzWGgnMArnryPxfiYjHNk2meHLPgP7sh/hPr5LZ6Io8G+CvMxdJYVwlxTKAwtNqzl/su13HH8uLdnWEu7zRTmdiJlqGV53IDNw3bkrItmav9F4v5+aLZ/TRyOHyGFIiDm5x0UnPTyOMtEX/h9R6nRj2pbT+HbjSRQ5PNrBvzx4l8YFlTSaVXytyyfbFZ5GPo/h60ducplnTuLHiR9qSUw53Upyizq35ywh55W4Wm6tI9uMkPEbFVyC68wR5P0wBmU71oi+8P+IUqcHc3afxS/bz6DQ4aaR9pX2q0TBVyeCGBQiqwtG5jeHr5trZISbID8rHYt+/g4973pAm6eXkmpOveb2SaSAU9+0T1ldX5YWp8OBPXv2oGWL5pr0XHxgs4BqNvQkW/bHVhRsRra98Lg8eHXSDIzse4daj0ykKoRbJtbKIpFtL1dG+p796D6cnfAWCtctEX3h/1nFnvLIYHx555MoTM/yM7nTP16jYUMXxGIxspEHl1LuC+iB7f8Q1JeUN7KRnqRebEQe2iJac2WM1LPv5s97FnZUJWbj3HdorETY5JVcvtFeiM7Uva2cKOPlmIsrQyhFyZa5AyfGeQG8sXAj3r6hE2zEUpbxCh1/cJ89hvxfxsG+Z/1l1RcuG6J96u9lmNf1dhyb9QfzwuFeGNLyQHgVzCvNgYPORnKN/oL9nvKsFCO8+oG631hfVZNVQqyeR3u+CtJ5Kd+pV7TV/f5qtNbEY392Ps2d3bV2NdkMROtfoUlOLwdHk8qZvzbnnyHPWMFsoS8d197VcG3+C94yESzt34bH5YSzOA9eJR82a0saHUJRatmiNB5lvxEx5dfac1UMI2bAlesmnfhkGZpOYnQ+/loDkm2Dv6Eikq2k8+L+Rr6z6r9LXhTyLfcVHzPaMpngdpTCVVZcSYIj8E+wL6MIY1ccxfazBdxAXnom+g3sld8xwJwS/17RK9vyNqtjDO2QTH8++u267y4qyEdUjGoyyBCouwUFBcHh4Pt9RUcAYSHBKLUHOqacgaPCvfmUYJXi2ZJ1ucuBomVzkD+LqNs5FRwh8E9xILMIn609hp1nC6mFPyHZ0lre5r0AdMf6DSE4scAwN69CjqV9JD5IaFg4nhr+EULCwuSnoTroJ4uFLgZm44x06/UBTX9R686b+xvuufsueh6/IGgIpGJzqbuYD7ZPMg2n5JkRbG573Kz56H11e1SPj1J8trWKtk7B5pRtaZsj3KUlyJ7zHc5+8S5cOZmisf8/qdibfvrN8OnMP5N5EB/taxGP9cjFEZRIfUNjHs7TXmkPP0nJj270BNmI6O9CEWojDBEaL192HmakzpufA8eUoGlqn9SYjvP9i5ilO4rRPjxSGd+bLdJSvprNlXOcgqrUPE+Qtydt2odeDWuiUZJkMs6Ta+UY9h0eF8rW/o6Sv6bAW5SHywGXPNF25Bdg5cChWPrwIJRmZHMEWzX9YC+OIJMZN4TG4o9S1TRBU6eyMyi8Muy3z/+z+jLSm3Hz/KF8pYJVrIhk699E/H71u7VmHaRxE//Cj9bswGvd22o6kNb/gpl6cJEJdSbjPME2EZJN1hYrYLHCm58B16bf4UmVo74LXFDQ6KalRXCTyO+a6H786N2fbPs3tQrItnIeU4XlGlVbs5/vAEbn+6cIQLb1S0Uk23/WSkOqJUWdm5DiE2kYfp9Uh5BsZ1kJCgsKBOH+l/xP5+w6i5+2nUGpywMLGUCYTdJAnmyzwYa8zZ6P52pGfq5Qzasr9/yLja+Ctl27V/o6SCA0DdHWTGTp26FUXjelKo6mpqsHKO8NbgDlN1Osi0jOvoefOK74btDjXacOIee7D1C6fbV4L/yLfWH69lQUOznXFZ2CTc3/2Q4/sP4htQclIjib3OdINr+PKWczPhmF04f3IzGlhmrGSocKJto3NYuJrLkkKBxhJ+ScfQdTw3niTS59xi+/4P7779f6W3Ppuvz9tKVF2pbMwhV1mvPFVpVtLw6cOI1tB4/jkWs7aFRvhTx7VTKtKNjKtpaI86S77MAenHx3CPJXLBB94V9ASV4BvnuUqNgDUJhOJjTUBxWfiV3/tOO6DMJhxY1IpJG9VyMHLni55Iz6RFv8WfzL/c+vEvMzKKPKeRNEaL5ff1X8X0DMxovhpuq7QrLLUbULvW6Emc0ItVi0431CtHVku0KVW5dKmJVvT8vGoex8PNCmoZ/JuJbIc4TbZIIn4ziK534G54FNl3xfuKSJduqKdZjT5TYcmfm7llzzKoOObHcKisRuZwmcivzAB3SpWN3mlWWjfXxUcXUHv+jUZA3JLmeEoifkAUi2dlyvJdv+SrY8o2Qy47vth3BDw5qoGhWu7SgKsTYbE28N+bYApMPKC91v4cm2hd5n97FtWPb9pyjIFjO3FwpetwvO4gKaukvT6MqfvflnZNvvOOPvU83IK0O2A1+mhuhWBPbA11yXSnR1s1yBSTbOkWQzk3Ep4aSBuq2elwz9+j32GA4cOEAVJYELgxO5pdT/dHd6oaSScYN4iVhryTavwp2zGfk5wOiVUx7I9zuddsTExVea8YeHh6O4pMT/RJp+o40L0qZRHWzZf0x7AC8ZaiaN+L9Fq8CoXaoysxTavNw+lwOFi2ci75eJ8BSLmB4XCiSS+Gdrj2Nnmn8aHV5g4NujkXmrMn7mfaZ5X88AJJt8XvLLFMQkJKFpu06Kksb2WYwW1kdlQ3W9mu7vu63uX7liOVq1aoWIsDANwVbJtZ5Y67Y5ZVpjOq6Qbi/K7HYM+Xw6xjzZWzqOU7ElP26pvpFfNu+zzRNwDfEuLUX6T5Nw6uO34c6/PBS9iwH7l6yhKvbGaXNpi9FazFVm+K8eQfyfOyGGKscLkUmVZ1c5IcrY+fUl/t8pXRcx/96NInRDHD2jXm03OifZPoFS1ECodqRjMibZZHudoxBdw2K0hJkSbCMxzYBYa5RpVQxk+7LL7Pho1Xa8e3MXmAkvCGAyzrubakiMxw3H5r9hX/ojvGV8irVLC5cs0d71+VTM7/0kSohvhaa1caYfHHdWGrTJhA7BEdjiKM+EufzupooCPEHm+5g6q+9HquXdan2eDGi/gwY90JDrACSbtk/tLJNW0dYSbH62iXw+kJOP7enZeKh1Q8UkXFE0NB2QEGeteThdWMdU9jFyrVubrXR94GQaxn7zI2zHt4pAaRcAbqcdrtJiNVSsvn2Vqyr/EzPyAKS3XDmLHxnp+ozRsZqBvcEOJVCZrtzvWspTmAOQ6PMi2QYm44x4k8/KtglffvkVunbrhlq166C0zEEjRgv8M2xLzcfs3WdR5vZqyDUbxLPBvZ5sk231ec1a0QWStHl/5soaTcnfvWfTOpw5dlR3vsAniY2NRX4+T1Sldiu1V83LS9nu3q4FVm7fKxPwAH1D/lze9INEirh3j66v+ys9vPW5RIQcJw4ia8qHcJ49WbkbJRAQ607kYtrW0yh2uI0fuZWA1vhB7SPqwF0NrmREso/u3orud96Pu/o/pyXZzLpENhdX+6ouDREXGI0Sb41SLnmrKmMrnw8Txo/H4Bdf1FpccARbUbi5aOJMweaVbIlYuyXizMzF5bJXv5iO5++6FtXjomRC7TX2y3YTtVo6zutWiTVduyVlm+5361Rv+Rwle3bgyNsvofTYIdHK/yEmvzoSE2/qh8I0SdxRKbE/zfWHkf+19Lk6QnEzkhAGCyXcO1EIO9wB6bBqRC73J913ks+nUUbPcx0SYJNFAW0d1TNbJeGSP/d+FKMRIpSJKKV/kTWdIOD6rAnY7ixBR4O0XpL5uFkxITcyJzeyalVNwc1w+4BXF6zHyJu6ICYshOMLPFeoBJGn6vZJ2BdOhifnLC5FXHJE2+NwYvmg17H+zfcDRvBlk+16E3LWIq8JjsYqe0FlRezyoXAQtRP6kW/Ni0pHuvWnI5M4Pi8+2X8ENyxZjTWZORWQ7ADBCcz6/XJ0P2UtlTu8HoxetR0je3WiBLm8DqTvKGalwxAyzToZR64tVi3ZtphRVObA4PHf4eu3XoDN4oP36GZ485nZosC5gLRtV1kp3A67AYHmVSUDss3LAHy5UYPkG7pmIK4fiXHDOO0ITbpev5mmQFDP73a78crIMajW+mr8vWyVpgp/3X5B0TT3wPAP0/09MlEmrzE92ThXJZsn1WYjkm3Gzt17sXrNWgwc+Ax9/hBFu7jMAaeLvKQFzhUerw/LjmRhzYlcOmC3WkywWcw01RU/gCcDDrIdiGwbmpHrFOBzgd6Xuzwwcq8KwiYUFxYgPDKK7vN43Bg3ahiuaVEfK5csMjxHbGwccnNyuQkoPbnVkWezGQmxMcgpKKban9Ku/Ui3ts/pTcv1cUBUVyId+VaOMbxRlBR5C/OQPfUjlO7edH43/QqH2+vF3D1pWHQoUyIUpooWVZkmUJ+iSovkflptxOLyzMV//3YCdq9biYjISEWltuhJttI39co2N+nFNS1mi0T6wohhr6NpvdpYunCB9H2//YYePbojLjaGKs0mA+WamYYzM3ETWZiC7XGrQc/INiXJbkqu6drjxowl6xAZGowb2zSW97Fo5HpzcEaiOZItb9O1R7vNCDsfKI2kAnNlZ+HoO0ORt2bFf9egLmG4HA5MfWwIPh0zFus82fAo5t2BYDIgxzyd9QdRt+sjHLcgCdGwYBXysAw5VF0uAeEo0vH801j7/dInJ7xYi1ycQhl6UW9wKWe2WkebJkz1zPZRn/HvcQZBMCEEZoVgWxnJ5ia5WN8j1xZiNiPYFmjczwlodOEJt440UytWmRfI5R+s2oY+rRuicVK8Zj9fRyHcGuLN+42o7xifvRj25T/BfWofLjVcUkS7NCMLv9/eF4em/1phXY2SzZNtYl5ntlBfBimthVz/vNk2P3DQkm1/E3Et6TZCkcuFl7buwowTp1EtLBQvbdqBH46S2X1fAJIdICIgr3SzsPuaGSTSiU14e/lWDOzUDFUiwwISa+Z7rRBro4X3y9aYixOyTZRs6fsGjvkaI595GElV4tXytEPwZp245P0w/j9BXsrOslJ4PC6O/J0D2TYkopUg20blykhI17YN2EmlopHL58gvKMSd/QZh4pRpqF0jBXc+/izGTZqq+inprlsh23qCYFSu3BMDgi0T53Mj2TxhL59kFxYV49VXX8Un48dLx7JUTwCK7U6U2J2iL5yjD+r8Axk4nFOiKGNWbtGQasV03JhsG5uR4x+BTy9dWbCvvPG+h9GgWQsUFRZgyBMP4ufJXyGlZi08/WgffPP5p37tJKlqEtIy0jkF24hpsTI5NaPJjK6tmmDFjv1K5FhtP5HfN/zFKRPHGtbF+bfLAybmi6cn2/yzRp4FVyK2U1NyF3LnfIP8xXMkxVCgUiDq9febT9OAZ6bK/MeTbMVdQj+O4Qh2JUg2+f2yz55CcEgoej/zsqJk+5FsHbFWFW+teTnvykHWRYX56PfAffjmqy9Qs1ZtPNCnNz768AN8883XGPTMQEnx0+fCZuTa61WJNVO0uYjiGsItk2spkrgb2w8exazlG/H2Q7co+5mJODMf1/hgKyTbUw7JDhCN3OOjCyHbXrsDJ8d/gLPTpoi+cA4gkcQnXvcQNv8wh0YLJ/owUZ0LqOLMQ+/5zLRiXvnm9/qDlBGLi9oIxw1IQEfEUCK7CXmYjwwsRBaNHn4AxdQsnPh3l8CFArho8LItyKd1aiKEmotbqfbMvjWwyu6AF38jk5qZk5JjVA0voMdZTWxhZJvLn202YbOjCJ3D/dVsjXWsnlzLKcACkXFGoH/efQShQTbc1rSeH1fQkGxGwHUkm7qj8tyJmZV7vXBs/BPO3asuqTHSJUO0M7fvwayevZG+abtfs9OYhut3KNvavVUsNmR7WYj+ymkNfvNQGuHLONCZdlCinf3Xj+VPlpTgsXVbsS+/EJ92ao2pV3dAvwa1MWHvYQzfthdO8lLQmH+rZF5RFhT/aVO5JJuUT915CPXjo3FN3RR/1VpPuJUOJn1WOgsdsZKFqdZasq0uVnzw4zz07NAKnVs148i4tPblp8ObcVh6aQmUC/KidthLafAzvm1qB9c86dWR7UBEtLJm5PzcrFG50hGUEVw56jbXr7jrPXjkGLrefj8279iNv36chDXzpuOVQU/g1ffG4omXh8FOoyT7K8+G1200AVEeweZISOVJtjGp1t9volw/+/zzeOvt4UhMTNLmU5ZVzzKnCwWlDuG3XQnkljqx8GAm8spcsJrNGoJNVG1KtHVLRWTbyIxc23orBp8ySS5RfPLKg75XrFv4F/bv2oaB99yIfTu24fNps/HTH4vx5HOD8cE7w/Dys09Tn1GGGjVq4tSp09wZjK6eUwpkU79Hb7sWP/690q/dmgz6AesfkvWUTNZ5Syl+kKRTJfxkU5ZGSnUYVgPGeX0oWjkfWdM+hddRdg53/8rE2UI7vtl4EqmFdr/HvGrmLccqZYtMfjWElqvrp2azMs4EnCfEZ48ewicv9kN8lSTc1u9p2icDKdlq4DO2SEMJ3iSdRS5nZccOH8JtvXpi+9atmDlnLhYtW47BL7+M994dhZDgYKlZ6dVsSq61pFvaR9Rt1WScV7KltbqdkZ2L1ybNwFcvPkzJC694S6bhagovSq5lEs3MxP1JNttnTLK1acEkdTt99i84+t5weEpL/+umdtHj7Lbd+Pyqu5C6YZtCNBsigubCXo887EIhFduMnux8ODND3YGr6V8mfYqABc0QiZ5IoKbl16IKGiCchijLgoNGLN+KQuxBIZzwoCZCqSJeQ44Wrj2/aizOf0c+XPgNaciCE40RQScTWiMK65GPpT4SGNqnmo1rJrSkz5vsRegSEa0QaUqmFfNw5hKqNSeXgqTJ+zRqtEq4V51Iw+YzmXjl2vZ+YpxJo17znEJHsjUusNr3D3keuA9tgmPdXPiUmEQXNy4Jon1w9p+YddNDKDyTpqSjCGQWXllUswTjjNsopYkxVL5grI6pbUEf7KwSkcZNJmzIzsHj67bSjjC1W0d0ToynuaxfaN4Qozu0wOLUDDy5eguyHQ51xkkZyLDxkTo4kr5Xay7ON+q1p9OxPysfT3dqLkcB1M9OcaYgimItn0dj8iERa41fNlGxZX9sRr7/3rgDp7Ny8eS9t6j7KcmW6tGlrBie9MPwncPvcqXBQ4Ke2cu4ZzBHpHVE00/l5tVmhoBkmyOYGuVa9/AzLNcR7ADHGQZIMwGLVqxBt9v7wGKxYM0fv+C6a66CxWLFe6+9jB8+/RCz/1yI6x7oj7TM7MDfQSYL9L7W/N9UKYJtPj9zcf4c1PxLDY720dix6Nq1Kzp36eIXqFF5pvkAh9uD3KIyuInvn4AhDp7JxNrjOXB5vbBRU3ETbGYzNRm3UpNxyWxc2ieRcKZ2KwGXKmVGzqmv5wDVk+7cwb5u8+qlePvpR2kgmcnzFqHT1T1ovxjy5jv45Ktv8ee839D79puQnk5UbKBmzRo4efKUdjKJ65P6SSFWp0bVRGp+f/RspkyitQH91L4hBb9UPrMBkp5s6+KEaBRxeluYLT1PruX27yWLlGqJrMv27cDZiSNw9gDxIxcwwu60QkzZdJLmxmbtRyXMnDWHQqq5vsAHIJPNuNXo4pyaLMkFnPmpPIiXzb+Lc7Px65cfYeDITxASGqqpY6hk82TbLxiabnLABKxavhR33HAtbf8Lli1Hj2uvhc1iQfdruuO6667D6jVrcONNNyP9bKrOZFwm09RUXEu2+WjiEmlmKrbkn03Mxu1lZRj48WR8/NR9iAsL5ki4TLYpWfbA63JLC6den6u5OCPZTNFmqjYj2/kb12P/kOdhT7s0fVX/P7B/1p/4odeDsJ9NR7DZRJcgua1H04jhVSjhXYBM5MLp508dSLvWkl1V9dbXUHVwVSkn3xeHINRDGFohGp0QS0l/V8SjMSJRBUHUBF2LQKq6j/pxE5JN+mMvVKHqOSHbnRGLXkjAIZRihjcdpXBzZFvte3leF7XsDWM5rZUgaJJvtrpdvj+2njQfyinAlK378eHt3WC1WgJYvpp0Qp4RyTYWKtTJWhO8GcdhX/kzvCX5uNhx0RPtdR98hj8ffxnOUjv1ISOKUHlm4ZUFCWsfQchdZaAo0gF4Nm8SVwk1myfZ5LqnHz+FwZt3olVcNL7r1hG1IsPkgYtEqG+pVQ2Te3ZCepkdDy9dTxVvjT82a4AGHcJIyd6TlY8p2w/hvRs6SZ2KP5afpeJItr/CLUcXD+SXrUQet+DQmQx8MWchJgx9BiarjavHyLasapNzuV3wZJ4QCoYB3C4nXE6HTq1GYNJbLtnWz/rI5foBsVyuVaBZcQCdT0PMuWsyULx5sk0G2uO/moI7HhmAqzq0xerfZ6BBvTqav+HBu2/DstlTceZsOrrc/gC27NqnDvr1CjdTuSkBlv4GxXS9MgSb/t3m8zAX15Ec+Vy///UXJUFPPvkUR7C5TAm6lIROjxeZRaVwuISVhx67TpzFIw89iA1L51MSTQh2ECXZWrNxQrj12xp1uzJm5LKKdy5Qfs/ztG4jx877YRI2r1iMRi3b4MvZf6NmnXoaX+877u2DWb8vwNnUVNzQ8xps37YNSVWTkZaeVk6f49oxG8zI6+FPPYihn/3IkXGdgs3q8kFvNAMjjmxz0Wf554ASIE2+SVIQNFXNVmzsZZLNSPeidRvxQf9HUSYCQ/lh+ZEszNqZCpeHa2y88syRZ55ka4KQ8fuV+pyKzflLa309Tcg4eQxfvjYIEVFRePmTbxGXkFguyeaDE+rdPPQm45Kq7cPkLz9Dv/vvRYdOnfH3omWoX78B3X/m9GmM/+QT/PLzdCxeMB9nUlPRref12Lptm85knPhiq0HPNAq37GctmYrLftny2uN04qkx3+LJW65BsxqJqt82rc+RbKZi88S6PHPxcpRsRdGW279CtuWl7MQJ7HtxEIr2iYknPTaP+RwL+78Mi8MhkWwLeS/IRFt5FJnQBJGU6O5AIdYhj5pgKx1H4Rd6nVr91+iNIIkb0j69MTo7Z+AZW20YtkCvDRLwbCeKqLl4VYTgViRiBwpwFWKV1HeNzRF4wJKMQp8b3zpTcdZrlwKhcYT779Jc3BQVryPZzD20nOBnMi9R4zOp/CKtuBTvLNmET+64BqFBQX7m4maFwHOiXSCSzXMYrZKptTIszoNj1Ux4ctNwMeOiJtrL3xqD1aMmUHItLVKyBn5bT7YDLXocddtRzxpa4TXwHCSQmq2SbCM1W+v3oAw4TIDT68Oo3fsx/sARPFKvFsZ1bI3IIKs8YOFJvAkt4qMxvddVSAwNwWNLN2DBqTRdADT9d/k3ZjrjlFeIj9buxITbuiE0OEjni633v+BJt4Xz0WYzVVpiTdRpRdmW14VlDrww9lt88/YLCA4N8QuSBpOUBoxXBsnv6ck9A69TmAsyuJxOuF3E1cGYsGoG1UoZApBtXfstR83my5lC7G9SbvTdmo7jr6jryLbD4cSTL72KoSPex0vPDMCv309CdHSUSpY5BbpD65ZY/+cMVKuahJ69+2HG739z1x2AcEtJLdSlMgRbX4dTAAMq2RolUa2/Y9duTJnyHcaNGyftMzAZ5/kG00HJWDCrqAx2ESRNwen8UhT5gjF60g+IiIhEcU4WyUyuKNdU1SZKtrxQgs0ItxwcrbJkWzUjN3r0l0O/+eZf0TtGV83tdODL4UMw9aMRuKvfU3jvm58RERmlIe1MDG7Vth3+WrISVZOr4ZYbe2HOnDnS85P6NeusOPzaOnvmS8/g+jVT0LN9C3z7xzJV1ZYHQKotMWvTbJKV88Pm30Oa/qfeCMVMnA9ayvtm6xevFyUOJ77ZvA8DWtTBmU9HovTgnopv6hWCvw9kYPGhLHl+Qr5n8Dfz49ut1mpDbvt0kYmvRm1WB+gq+Va3s8+cxKyJ7+Phl95CSEgINRXXmoKrpFpvUaLEUPDLn632PzKxPPSFQRj11ht45rkX8eMvMxETE0P328tK8fyzz+Dzzz+j6bzat22DtcsWoVrVqrju1rsw89e5qj82HwiNEmzeVFxWsd1k2yVvu+gy5LNpuLF9U9zUtrG8n5mKS8q1QrKZks1UbfpZVbe9Lr26TczJmVm5SrhVkk3WzIRcJdvHi4rxw7GTeH31etx1/XXYMGf2f9j6Li5sHTEWO9+fqKjY+oURbpvsuxwFK43sXRthWIwsak7uZungOE3anz9oS9kn7dNOf2T5IdX07wCj1wYJ5LYCudiAPLREFK5HAg2e1g4xiCHxyWUSTf62GuZgPBWUgiizFV/aU7HDXUTLSR8rhQen3Q60DIuU3m98hHHFhFwNgOZvPq7yAibE5TtceOXvdRhzezdUiQr3E+bATdDqXYp47uKnXHPihRrbgxc0TYDbAefGP+DJScXFiouWaC/437tY8/HXcJO8yz7ICwlgppJtZQJcb4JZgUm5w+eFFdKDvVwopLh8NbvCwGQKyWazQkCO04VBm7djUVomRrZphhebNaCDQP3MESPl5J+ksBBM7dUZvWpUxdC1O/DpzoPwUQ5RHsFWlez92QV4b9V2fHr71YgJJ+H29eScKdtc2i5e2SamINQcRCLLKsnWqtOMeJOB3dMfTMKoQX1RLSmRMy+XzcX5gFH6NQnpn5chyDaAL774AkP+NwSpZ9MCEFoDAq0jt4bRtFkj58k2T1YDKd5s4G6kouvJv77cgGxnZGbhht6PYMbcP/DdZ2Px/rBXqam4dgaT96k2o1pyEpbN+gH33HoDHnluKN4a86ns0xyAcPstlSXY/oSaWl4EMhc3INknT53G66+/jm+//Ra2oKByTcb1+wjIMy6zsAxlThGRPK2gDDklTqpUhIeG4Kru1+Lwrq0Y+7+BcJQUSeSaEW66MJNyVdHmzcgrRbY1JrT8f4GJtPTIrlgHV/bLz/mC3Cy8P/ABrFswDy+Onkifw+lnjFNdMa/vqsnJmPvXAtx+51144rF+yMzMwrFjJ6Q6fpNFattklkmKSbjZjGf73Iq/1m3DMZI206D984MmaUJVG/RPr2D7jSCVtu4faYWl+FJ8tWUFb+K6XRjQphFCzWaaY/jUJyNQvGc7rnTM25OG5Yezqcm/Ij6QbbIEIAm8XsDauaIyM+KrmYzitjnzbpe9FHO/HoeY+AS8PO5bJKZU50g0NISd72uMXNuMAhYq0celdU5WJh6+5zb8/utsTPzqG7w9chRsVosccM2Lwc8/hyFDhqBOrRqSYu3zoFrVRCz5Yw7uuf0WPPrUc3hr9Efwetwy4eb8shX/ahdJbSERa26bkO0x0+ahenw0HrymnbzfTS3uKOE2Mhf3W/P7ydpY8WakW1l0ZuMujwcr0jPxytZdmH78NJpERuCVxg0wulkTFE36Att+qzg48OWOHW+9j0OfT0awhSPXFrMf2Q4hi6xykzZI2loNhOA2JNIUXX8jC/tQDHdA/2tWUpknu6qO6/VwhkBhzvi+S44h5PgPZOAoStAT8TTY2hrkUr/zqgim9ciIh/Ytk/S3xVlsGBSSgja2CEwpS8dv9mza7/8qy8WdkQnK+F4iyyrhlsrUFF9a82+LH8ku83jw0vy1GHZ9R9SOJzm5y0nfZVL5iPKZe1doA3GqYyrVXYl7t7DsF6TA64Zz03x4slh8kosLJt9FFrqNXM4fz7+NLd9OlxOrsxyK6kNYmWE12M9SS7CBjpKcnduf53FhTmkOBkYlKzO81PdIH3GPEd1yyLORWUWgemwwdaCwGP/btou+HD9u3xItaOPUkuqAa5k/TN13HOO27UePGkkY070dIoJtOrM9ueHKjXrD2Sx8vWU/xt9+NeLCQzUmGmZ99D+OWBPfQDMl2KSMEW2JVKtRxTm/bLK2krUNb387Aw1qVke/u25U61ptANlv4kzGKcGWBnw+hYCTcklpsUZVgTkoBFdk+i6Xi+ZX3rRpEyZMmID4uDi89NJg1K1bl1VitbkDuc+SVGS4T4rOyj7r8w/xx8ufjR4VPtVgSl+O8srl792+azd6932S/o2zpk5CxzatNPs120bX4vNi3FdT8Procbjt+h74/tMPERkRHvj7Ffir9dImP6nAm4tziiBH0DXRxZn6zhGT9MxM9HvscUya9DVq1KypkGgSiEW1lJUHxvJnxT2Gmzgk5QRVIkMRHkwmIa4skHuQXeygwc8IsSCTrsRUlpjXk/Wu7Vuwb+c23PzgE9Rn2+3xwU3qkYEqXUtldNvjlco9Xnouej5GUMi9JmlxmRUVLZOtqAjxM7g2ZZ5K9l/VBIriXI4YcVEDtckTAVYzgixmpB/ehy+GPkn9Rf/3yWQ0bd0Os78ah6t69kKLNm0lM0iq2MvpyyhJAUdWgC8njsfwt95CixbNsWT+H4gi+UtpPmAXTPLCtsFSF5GAMrKCR8jEydQ0DHz/S8wa+SLCiIUVi6pMfVYlc1vqQ83lHWZRnKmvq+JfLZt/MxNZJccwqaM1DVeDPrHcw5Lal15QjLeXbsLnN3VRg0gRJdBsRo0X3kBUm464EvsCMRVffyJPE8hMNQHXBjhTLDMUkq3dx+Y/+fzX6tiXyytP1j4g5+wpTB39Gm5+aADade/F+VSrJuImI1NxeSKL9w1n5uJsHzvPvl078HTfB+l74buffka79h0UAk5Mwf/38mB0aN8e/R59mCrUlEDL7ZS0d9KOP/n8K7zx7hjpvTD+PdoXlKBntL1r2z3bJv1i7M9/IK+gCCMeuVVVvWWSrUnbFYBkayOOy8HQdNHF6fOEV6yZki0v5Pm04Gw6/kpNxzVVEnBj1UTE2Gx+7cFks6H6q2+iWvceuNJAco6/ffOdqL/jECJNVvosJ894lw/Smm7La75cLiMCnvSsl97JxEmLBCo7jBKkIARNEYlgTo+UpvJVr+nywVPlwDVMFdQlwdNIRHJSg/iXR9IUYrmoi3AaYI2AXCGbPNBMLlhMCDIBy135mF2Whaa2MOoy+3bVOrCGWGENtsBCliALrMFWmG1mWGxmujbTMb+8ZhyAcgKVGzh9Pjz/52oM6NQcV7GgyrzJuCb9r8nfJ1sXEE0TZJNZSxkJJfJYS/XllsdmFiuC2t4AS5WauJhw0RHteS++gw1f/uBPoGXCzEfRY/v5bfaSYITbiKgTov1rWQ6ejkzW5n4MSJrLU6oN/KL151LOCSxOz8TIXftRNzIcY9u3RFJ4KEfm1RkdLcFm5bJKIp9vZWomXlmxFVXDQ/HljV1QMyZC9ZVTiLkZc/Yfx4oTafj45qsQHsqZiyszWVxnUPJjE4LN1hbN2l/J5tek3IYZy9Zj68Hj+HjIUzLxZvtt0ja9TouWWLNtWm7mzMotsEXGwmyTZu6uFDiJubjHo3n07t69G+NJWigAL774Alq1aGlAKHmiypNlvkz6R0u2A5zDiMyXe172MuLPo78eH2bP/QMDXhiCpo0aYtbUr5GSnCQdqyPjgf8e9doWLF2JR577H2pUq4pfp3yOujVrVIJoywZdesWebvJkmpVr/VaVIGcBlGySnuyRR/viwzFj0LhJU3o1Xp3JuESwpRc9I+BsWyXb2rLk6FCJAF1ByCtxoNBOSLZs2cQGTjJ5JoNSsv7m4/fQtEMXtOh0jUyyGamWyLZEtOVtsvZIZtakjkdPtEmZjmwr8zu6tqWPzszIB+/nrSfaUtA2EyXPu1f8jWnvvYKUug3x0rhvkZRcjZYf2bmZmoXXql2bEm014JtKsinhlkkLKZsz8xcMHDgQDerXw+zpP6BejRRKqLUk2yUTcJVgUJIhk5RVW3bhqzl/44c3B0nZXHmyLQeRkgi1mtqI/DhSqiPmX8qTa94flSfaxvtZ2qNRy7bg5ropaFUlViEwHkJcXF76Xqjz6ghEtW6LKwkztp/BqmM5CollRFX1sVZ9o5k/thRzgKWr48u1bVSTqosj2yWF+Vg64zvkpp9F/7c+pPVtNqtKrnlrEM4ShPfR5s3DFfN0zbHScX/P+xWvvPAMGjZqgu+m/YyU6ikakv3KkJfRpnVrPP5YX6pU87mwaZvmPi9YvBSPPPcKaiQn4bdJH6NuSlWpvfIkm7R7jmR/8MNvKLXbMfyhW9TAZ4qSrSPSVKXmzcalz7Q9K6blbFs/6UQIttY0XPLJ9mJlehZmnjqDHolVcEe1qrCRd4r+PapYhgHmIBvQ/2l0vLc3riTsH/khVn79Hb7MTkXviAQ0DwqXn/UquaaTshzJ1n8mz3hGuPmJcJLPmqjbobCgCcJRBSSqvSkA3TYi3+URcp9fhHOjI4mCvRw5iIONkmxi3E5SgXVBHBJopm2pj5L+xEzjgzj1PohT+He5SjC28DSSrcF4N6UeqkeEyQRbJdsSyZbXlFibFZFNwwesZnhNJrw8fy3ublEfvRrX9ifZ+lzZ5gAkmz54eKLNm4uXExSNNnzt+Esapllha3cTLPEpuFhwURHt34eOxqpx3+gCYWgVaT+fIR0B15Ntozq5hGiX5uAZpmjLP7Y0OVKRil0B+Q5wrM/kwzdHTmDy0RO4sVoS3mrdVDYhdyLH4UKOw4F8lwsOkieO5Egmagt8NMBPsNVCB1lhNisSQoNRJTwEVcLDEBcahFOFpRi0eAMKnC5MvKEzOtVIUq6BPFA+Xreb/n1Dr2kjRQHURwukPhg8yebUa95knAU/o1EKZUXbqiXPjHxvPXQCH/44F798+DqsJOWGxSbV1UQalwg0M0GUtnWqNke0yc2yRcTATBTxKwBOlwtut7GpMGnbx44do4Q7MzMTL7zwPK666irpgW2oUPOKtp4A8yZS+jIDEl4OaTcq16jdMoEms9CjPhyL0WMn4IF77sJXn3xId6elZyAjK5Oakufk5KLMXoayMgfsDjvcbg+Cg4IQEhKEkKBgRISHITEhHlUTE+hSJT4Oh4+fxL2PDUJeQQF+mTQB3a8qR+0yItcGRNtIxZYINU+8/Ul2Xn4B+vZ7DMPfeQdt2rZTSbbmZa6ajKuKtkyqOZKt30+QEhN2xZBtkle82O6SCbZKtJlizYg0GTQVl5Tg42H/w1U33o6211zP7ZPItNtg28Op35Rcy4MvSrx1ZJv3gfUZqtqVI9qUKBMTXaI2/DARi77/DB1vuBNPvDWGEufivCyU5GXjzOEDKCnIRVRkJPXdJgshCiSVUWhoCEJDQhAZEYGqSUmoWjUJKdWqIikhAbfechMyMzKRn5+P6d99gx5dOsDkZUSbKNlkLUVVBm82K5NvQi6m/bkM2w8cwUeDHtLkG2ZkWtomsxLacimCs0TGSV9X0xSxNEjScdQHVYm6zBMRaTuzsARvLtqIL4iazY4lRNtFiLa0htmG+u+MRlRLYglzZZDsxQezOJcHTsnWmIGr6jEzC1fJNk9yOWFCp2hTtdvnRV7GWRzfuwPhUdFo2fka2oZ5Um4U9EwNuqYq3ZoAbIrarZJsMsH66UejMXHsGNzVuw/GfvoZPTY7Ix3Z5L2QloZvvv4KSYmJaNWqJRx2OzwuJ4KDbAgh74YgGyLCQpCUEIeq5N1QJQ6JsVE4fPQY7hkwGHkFhZgxYRS6t2+hEmuObBPLjhFTZtP+93qfGzRKNyXPAf2uOVNxxXdbzqPNCLeSM5sFODNWsvfnFeKbI8fRODICD9WsgRAyNlJn9/yhiC9AuteHlBdfQvs77sKVgMNjP8XJKT/Qe1jqdGFSVipCTGbcH54IC3E1ZYSbuZ+ybZlkM8LN9pHP5BlPVG3+PUzSaO1HMbLhpCo3iRweBRtHhxnxZs50Rpo3I9bSxBU/WaKNXy7tI3sJod6GQtRHGI0mvgdFyIeTquwu+GgANzoxb5Lqkz5JCbbJTJdwsxlxFisSLDZUsVqx2JGPKKsVi0pzUez1YHjtBmgXFysR7SAzJdqUZJNtm0ysZQWbkWzKCaxknG/GG4s24up61XBniwYXgGSbuXggeiVbHYPReoYugXJ9egvJQ8WGoHY3whxbFRcDLhqi/efb47Dw3U/9Am/ozcPLU7QrMiln+8mIdXTBabwTW1OKhvcvq9lFbjde27kHW3Pz0SImivqInCwpQybNBayCXFqwxSL5kFgs9FrJg8Dp9cDh8dKFB5nFqhkdgZqR4TicX4i04jI837EpnuvYHJlldgxbuhl3NK2Du5rW9WvoatRAnZItm4RQss3tI4q1sdm4ZArOPqflFeLxUZ9hxoevIzY2RiqnkcYJGefyanOE2sel+NIEmVJIttr5bCSAA/XfvXzhdLrgCkSy1UlsCpLWZ+LEidi/fz+effZZXHdtT92D3IgQB1CxfedjUl5Ruda8PC8vD336DcDqdRvQqV1bhIQG4/CRY0hNS9f9nSZKIgiZIKSCDO7I5IPdQYi3Q86jrcJqtaJe7ZqoW6sm9h06jDOpaRg25Dm88eIg/9RC/I30I9fyHdD7b2tUbH8/cL7dZmZl4bHHn8Cod99Fm7ZtNWq1Jq4ET7o5E3JVvVb9tvUm5uTra8SEIfQyJ9vZOTmwBYcqgyGJYEvqA/1MBkYaddsLp9uLkrJSLJ//B7rdeg+twyvZijk5r2xzhJsn2mxRTMd1vx0D38IqS7RdZUX4+Z3ncWzHJtRp3gZBwSHIPH0MeZnavkAQEhqG4JAQBJO+YLFQlxKnww6Hw0EJh74vREdHo17dOsjIyMSZM2cwbOjLeH3wIJiZss3UPzkQFCHgfLRlpmyP+/E35OQX4N0B98km4m5OuVaJtaEJucYcnBEPFqlZT8LlesyH1ePBlM37qOrSs2ZVzmzcA4+TkGyylpRt2ILQ5MOxiGzWDJczZm1PpX7Zer9nnmhr0nYZ1WGEmPO7DkSyyefvR7+Gxm064Zrb7+Vc8VTCro8Qzp9T/azdp0wQcMcWFeTj2ccfwcZ1a9C2fUf63D965DDSzp71fy+EhtJ3A+kPpD+5XE76PiATskbvhfq1qqNujWrYe/gYzqRl4q2Bj+D1J+6XTMxlku1x2PHShO9RLzkBz9/e3c8nW+tnHcjfmtVTJ5PY5JCSU1tHsJmSnV5Shi8OHaXE+rFaNVElKEg22NK/f7XQxwAauf8Qpv01H7GX+cTT8Unf4OTXk7Xp0NxebCzMx5z8TNwbUQXNLGFSjCdGpg229So3HwuKvgP4WCnw4SzsOIZSFMGNRART/26yJi5C8KPeEoyUb94mQV/XAQ8WIQtpcNC0X3a4UQoivPmDxJoiqcPImlwDuUa3vBAyzoN8R4otGNWCgnDS6UCWy4nHqtfAE3VrUbNxqmjLJJtsa0zFOeGNkOyRy7eiSdV4PNy+yT8i2Sa5TKtkG5mLcyknOdNxrcLNTHDkOrYgBLW5EeboKvivcVEQ7bWTZ2DagFf9lGuNoi1v84q2nmwrD/QA5+GP+bE4Az1DYlAvOFRVtQMp1H5h7ssn30SJ3l1UhI25edhVUIBdeQV0gEyuoXZEOOpEhqN2ZDhqRoYhMTQUVUKDkBAagugQmzRbzJN2zpSczMblOZzIKnMg2+5AWkkZjucX41h+EY7mFdGHNUGo1YJQmxV9WtRH7xb1US8hRg14wOfClok0H01cYx7Cp/EiJJkRbRJdnJJxpmQTMm1FmdOD+94ci/GvPI2GdWpRYk5mlhgJV0g253+tmI9rTMflIFPMfJz/DDOCwsJpZ74cQQg2IdrlwYg35ubk0KBpxJe7b99Hcfddd9PAMZU3KWf7jch2OedQio3Ny0m09HUbN2Hx0uVYv2kz1m/cTAfYhCw0rF8PjRvUR6MG9VC/bm0aLbZqYhVUTaqC2OhoqU8aPp589LyZ2TlIz8hEemYWTqem4eCRozh45BgOHD6KMzJxj46MRPeunXF15w646druaFivDhcRORC5lj7rzcW1Kra6n0+HdPL0GQwc+Aw++vhjNG3WjCPWvHm4NvhZRfuNSbr0XKwTH4EgYi98GSI7MxO9+/TBsLfeQoeOnelAQyXZEsHmibZiLiibkf8562dsWrUMz40aB3NQsOqjzUzKmZIt15fMyLWm5IpJuUy2mVWB//iXswzRB1Cj7yMpYEvagR04uWMtUvftwKl92+hgnExoJtaqi2q166NanXqoVrMuqlRNRkJiEiw+DxbOmob/vfsxNQNkPtp8GjNClPOzs5CdlYGczEycTT2NbVs2Y/ny5bQPpaae1faFTu1wc4+uaFi7Osw0MJRbF4FZS7ZHfzsDwTYLXu5zM0emVWIdqExSrXVKNQ32xHxV/VVs3rf18TnLqJptJfdcJtmEWBOiTRVtSrglsm2OiELrb75BSLVkXI5YcjATk9Ydl4mqGqCMJ9QaAh2AjPNr6h+tCfqn9bM+uG0DTh3cg9sefUoTFNB4zftZ82Ra60POzk1I6Y7NG7B2xVJs27wRWzdtUN4L9Ro0QMOGjehSr149Gpzt268n4Y033sAN118Hs8nH+WWTiSOp/RLi7HLYkZWVJVlHZWbi9JlU6Z1w9ARdzmRk0fsZHR6G7u2ao1vLRriuTWN8PP0PXNu6ER7u3l5VuFmQND+CrSXaKtmWyzXtWo4sTsv8lexSpxs/Hj2JA4VFGFivDuqGhat+2hUo2XSlG6suy8xCWZANb/75N4KTLg4170Ij488/cWj0+0pkdoVsy/Ebisg9zUlDntuFByISkWC2qc9zTr0m7w7ejJyVk21lslVWuPWpN8n7OBNOal6eBScd2xPT8kQEIR5BCJWMuv2UbSPSTfhCBhw0N3Y6HHRhkPJv21ANITSyeAQsCGeLSbJ0JSo2eSfoTccJ37GbPFjlKMABdym6hEfjrNeFVJcDpxxlyCIWHQDCLRa0T4hFuyqxuCYlCXXiImENsqq+2TzJNpsxZu0OVI0Mx4CrWl4Yc3EzlzoyoLk457utI9oaUg5d/aBQBLW7BabQCFzRRPvI2i0Yf+1DNF8hAfM5oA9rnmQbKNo8cZbq+pNtPwIun/eEuwxrHYV4Iqqq9LKpBNEOnLzdhFKvB6vycrE2Nxebc/NQ4vEgLigIbeJiUCMsFPWjI3FdtUQ6UNIq4Fp/bL06zhqSkutaE42cLzMjtbgEz/+1lj4UwoKDsP1sFjVBrxkTiWsb1MANjWujYWIMkmMiAyvZvAk5T7I1ftk6/2yrlSp6j7/3Bfrd3gvXdWmnkmu/fNlWHclmgdC0RFsTZEoT2dmMzOxsJFRJRFhYGC4nkMAvZQ6pHwSCQguNRFpiZltSgh9++AF//PEHbr/9NvTr1w/h5D6dk0m5fib03Eh3YUEh5v31F+YvWISly1eisKgISYlV0K1LZ9StUwvNGjfBPXfcQtU5fXC0cn2z2fUE8hnn/pac3DxM/PZ7qvxt3r4T67dsoynEiOJ903XdcftNvdCkYX0kJ7OBuf5BrW4rftw6FVtRsuXPm7duw9tvD8cXX36JmrVql2v+zX9W9ivEW0uy+TL9MeR5Ujchgg5iLyd43U44S4pQUFyCQc+/iB49r0W/J/pzpuOyws1tMxLNE+5Na1ehaq26CI2MgckWrCHYfJA06ThtEDUWNI2Zk6t+2v5m5DzUgFOAs6wExzYuxfHNq3By53o4S4sRHhuP2i06ID6lJlLqNkLba2+mCh7zvWZr8ttaTD4UZWciJSWF+nRToq0EQmMRnOUoz1xQNLL06X0vfpjyLVyOUnz+xZdwORzYvHU71m/ZKvWFmtVxU4+uuPP6a9Ckbg1US4iTSbKWbHtJmqNx36JNg9p4pNdVKrEmxFzOQSzV1ZNv5m+tJ9gsj7CaU5iZjzPSciKnEF9u3I1R17TlzHK9GoItEW5pcE0+h9Wpg9aTv4b1Mnsv7EsrxLC/9tFmplepVUJtNiTXfmRbv49XwjlCnJ+RRgluQlJVem6NaMH7f3Pk3N/nWkvIy4qLsGzhn1i5aAHWrVqB4qJC+h7vdFVX1K5TB02aNMPtd92F0JBg5VqWLV2MzyZMoJPINaunwCyn6aI+2GQtt1GNjzbbZpNIzFrD7UJ2dg4m/vQbTRu2ae9hbNhzCA6XG4kxUbina2vc1r4JGlaNR3JUmGQurqjUXMAzakauz50tRSKXiLZ/3AF9jmwSZ2BNejamnziF+6qn4Or4ePpb88HQpAKDBqHMEfsLQCQ41as79+Dr++5Gk7ETYQmtOIXtpYTCPbux96XB8Dqcago08myWU6R53er2qbIyfJ+bjiSLDXeGxVNfaxZIk5Fu8v7gSbab89vmVW3enJxPMczIN1GPs+Gg5DsXTtjhpT8TIcRRMkEmHtXkGojROVGcz8BOF0KsyWeiSpM6ZE2U7E6IpYHPyA/OC46M95B0XTy5DpKjjfNke42zAPvcpXipSg0EBTHVWlKui01ezE5Pg8cE7CssooKg0+ulVkTX1EjC9XWqoUF8DKrGRCgc4dP1u6mA8/w1bTR84bzNxU2mcpRsbr+pPJIdwIebEe6IONja9JKsaq9Eop17+izeb38HijKz/fbpFehAinZFyramDuerTQK8fFB4Gq9EV0e41UpfEuURbZZjTq9cby4qwIKsLKzJzaWdsmlUJLpWiUfXxAQ0io6kLysWCE1PphVfcC7gWUCibRRRnOU3NQELj6bip12H8Uzn5ri6jhT9z+7xYN2pNCw/moplh08jtaCYDtZua1YPz1/bDk1TErnAZ4HNxRVTcVnJ9g9+ZsW7U3+lvlFP33erpGJTc3LeXFxStJl6rQ14xm3zpJrrYKwsPYOY5T6O76ZORe3atY3Ngi9BkNn8MrujPCsxBaZKmJQT/+7ffvsN33//Pbp164annhyA+Lj4CshyJUzKNbtVZZwQ2sVLl2HazzPwx/z51Ke6Q7u2uOmG63HzDdejVfNmOisE6bvUc1aOZAcuL4+Im1BSZsfyNeuwYOkKLFiyDKfOnEWQzUbTwLzywiA0b9bEj2yrgdJMAVRslXj/8OM0zF+wAF9++SWiY2LKMf/2jziuqtra/Zqo47yJueacPkQG21A7Luyy6QtkUOwqyFKyEXhgxvB3R9Nn07C3h0tKhKxm8+bkfJA03m87OzsbI158EkM++AwRcVXUAGmK+ThnUs7My+VAadSkXFG0tdHI+d+HB0kndHrHOhxY8QeObVoOr9eD5AYtUK/DNWjYqQdS6jeBzWZRoo4TX22eYCtreXva+NF4+pVhNFaHNhgaR7SVPMWSSxExcli04G/s3LEDbwwdQgkIizReVlyI5avWYMHS5fh72SqcSk2jfeHem3pi6ICH0aJBbT+yTXxhHxk2Fs/eeyOualpPItJMAfdTw1WfbSUoFEemtSa1xhGav9+6H8lhIehZPYmSGN4vWyHbTkKwGQGX/Fzju1+D5mM/vGz6QmaRA8/N2oEih1vjeuBHtuV2Qdb61FxG9flyrVm3RLSX/vIdkmvVRdurr9WQaSXQmk61tgSIIk7eQxtWLsXvs37GsgXz4fG40bJNO/TsdSOuv+FGNG/ZirZ/1b1PzvVbUozhbw2jAddGjRyB8NBQTdAzlVQTks0UbX+yLbVLLtiZ7ItNyo6dOouBH32L69s2wemMbCzYvBens/MokbirQxMMvrELmiTF+QU6Yz7YmrzZnMuDZDrOxx/QmoofyS/EFwePoUF4OB6sXh1hJBWq/DDxI9pG4IPjGoxZR+49gGcb1UPD665HvTeGXzZ9wZGZiT3PDYQrN1dznySiLRFsNrkh3W+pbHtRIX4tyEQdWwhuCY1HGMwaEh3IvJzfr9TjynnirffEJg4Y5D1eAg8NYFYCN8rgRhZcVAEnZQTkWuIQhGSEIAXBiEcwJdp68OTayhNqmWxTKyc5tVeQHBPql9JMqlb3i0+WSbZqFq6Yict+2US9dpp82JKTh9Xp2VidmoGzxWX0mXJzgxoY2Kk5Fh9LpW3u5R7tdSm/eJJNLGFNlTMXN/NKNiPZZBvG5uIBlWz5HCwSub4umShMqAFrk67/WV/4z4i2s7QMH3XrjdPb92rK2cUYpeUKpGgHItvlqd9ke5OzELleN+6KSNCq2pZARFtqLPkeN/7MycS8zHTkuFxIDAqiZJ0o12PatAhA2Msn2upn+SHKvpvblhqmNnXXiYIifLhmJ5olxWFg5+YIsZE0X6pZhkLQAQxfsB7zdh+By+1Fgd2B9rWT8VT3trijXSMEBQUFMBcnwc84ss0p1OzzrOUbsX7PIYwfOlAi40qQNK3JuKRY68zE9WbkvNmI3MlYWXZOLh7t2w9jx41Do8ZNqP8VCYRyqYN0QUKyWaArzT55bToHsq07ORYtWoTJkyejatWqeHbQIDRu1NCookpgK+l/Tagoydn77XdT8c3kKdRcr3pKCqKjIlG3Xl3Mmva94XFGhFpLuA3qaC6lokcWfyxnCq7cEh+GvDkCs+b9QSO7k+jgnTu0w7NP9sfdd9wKK/GP05PsACp2YWERhgx9FTVr1qS5sgkZVEgxR4jVKOO8eu1vDq6PMK4h4gbnZC/7xMhgpERf+uoFGZy6c1MlpVSZnLPS5ctvJmPXnj0Y98kE6rbCmwLqo5Hrg6QdPXQQX40ZiTc+nQKPz6Sq2Tp/bU3ANC4qOR1YyebjTN2WlG319ygtyMHeRbOxZ+EslORlISKhKoLDIhCTXBN3vzlBQ3z4FF8sArkx2Tbj29Fv4t5+T6FuvXqc6bgcvVyX3ouRJzIgI5/vufsuTPl6EqrERVHSwfyyGUkh2y8NH41ZfyygLiv5hUXo3Lo5nn/kHtx9bVdK4iUC7UZhYTHue/UDTHlzILWKYuUa0k2JNFszf2w1CJqqXKsKtj6vMNl+Zt5KfHBte4SSAauLI9qcmk0VbZlks/zDZKBd66n+qP/8QFzqsLs8eGHmThzNKTFWoy3G6eK0ZFpuc5aK1W+FMJuBr954Dv2HvY+oqBhNADO/COJymRJFXC7Pz8nCnJ+mYuYPU5CVkY6q1VIQGRWF2nXqYdIP0zmyrncRBNatXY0x77+PoUOHomeP7krUe4VIyybjapwBlXRrYg/Q9idNLumjiy/esB0TZs7H5889hOrxkTQQoNflxCtT5mHOht1wut0oKHWgQ+1k9O/WGrc0rQ0L6fckAJq+3TJ1W2nXvJqtkuxCuwtfHzpG3f+eqVcbVWzBEiHnSTa3HQi8W6H/WBNYmplFLSrvrpWC5AcfRcojj+FSh8dux4H/vYCSI0foi48aNtC1vMikWm85wHy3ye+zraQI8wqzkWgJws1hcUg027STtQYkW0PGdeXMwkkyLVdHJfwvR66x1Oehgcz2oJjmw2bqdjSsuMWUGMBiUY7twUUVp893mWwzYk1UbJ5okz590mvHL8WZuC+6CjpEREspu2hEcZVcs20lwrhMtqlPtk0izaPX78L8I6epVWyhw4XkyHC82asjbm1WjxL3cpVszlUVcpAz/Wd+jM/4DU+oFZKtCYAm3SW/QGkyN1Lj6mj9tcm5zDWawVqz2ZVFtL+5/1lsmflXgJx0UhlraJVRtDVEWl8egHyT73634BTeiatNG6tkHq4mb9cT7dMuB37JSsOyvBx6PTdWqYK7k5ORFBqCKadO4aZqSWgRJ+XE9vPp5nytFYKt32+urJm4Cbl2J77ZegBni0owtHtb1IyN0iWI52aSmCJO/yYz9fVecuAkJq/ZgTWHT9NB05PXtsOT13VEdESY1lycKNpMyaZqt+x3LZPpDfuOYvwvf2L6+6/CGhTsR8IVc3HFP5tFG+cDovHRxY1JdkFhEU2VNHLUKLRo1Up5sIUGB8FGruUSht0hpfHSQ9Mz2TPmPE3KCfbs2UNN8IjC9+STA9Dr+uuldqUhr5Xw4wZw8OBBjP1kAmbOnkMftA8/eD+eeuIJpKQk4933P8QDfXqjU4cOlc6nrTVpZ8S7omsJhHLs7TQ3yUQDrP29aCk+/2YKVq5Zi5TkZAx88gk83f8JREVHcTfeX8VevWYNRr//Ad4cNoxGfWch385Fla5IyVb3cWnAOFJOgzvL5XXjwxEfTiYJLl14sk/D6yjRPTes8FnItg1z5v6O2b/NpRM75Hnjp2wzM0DF/FtN82J3uqhfaGxiMjXbVtRrRck2JttGQdGU3Nokv/fp49jy62QcWrOADiAa97gNLW+8H5EJSdg440s06XErUhq38iM4CkGiJJv3vZa2mZn49lVLEBkZgQ5drlbIN/HXpsfzSraiKqrba1evxPw//8SY90dRM1s/QqIQGDdcdjvmL12Jz36YgRUbtiIlKQGDHrgTA3vfgsjQYEpY9h09idcnTsWsUYNhIS0xoKotlakqH6duGxBtQqYZ2bY7nRg0bxW+urkrvE5JMVSDn+nUbEay5UE2Pa/Xh5affICqN/fCpYzhv+/FisNZ0rhEQ7TNlGTrJ2vUNa90swkZOco9R7p5Iq5aREhtKfv0CaTUrsuRb/8UXcoxXJ1TRw/j+y8nYMG8OTCbzLizzwN46LH+qFYtBRM/eh933dcH7Tt04vy31fFdTnYm3n93FP37Ro0YgeioCMk6yef1S9vF2qxmW27fbAKImoy7ubXbRX24P/5pHo6dSccnT/dGiMWkpO3ycdHFSVC1hTsO4ZuV27H26BlUjQrHY+2b4pE2DalKaDxJJFtq+BE9D+afTsefZ9LwWJ2aaBsdo0nl5UeyywuAxhHsQIp2oduNcYeOYFTrZpTw1HvtLcR2vQaXMo5+OAp5q1Zw8/Ay2Zbvm+L/rvht+1sSMKX7UFkJfi/Iht3rRY/QGLSwhdEXLIv5oQ+G5jFQsukaXMA07v3OLjHb58QmbwEO+Iopm2liCkdLUxQl2ht8+WhsCkeyKUTzd8pRYLjAg1LfYEo2XcvPfUnBVhVtu8mHv8pykOtzY2B8NcQEB8FilVVsRrapgs3INkewaTovjmzLCxmHj1u3C6cKipFTZse6E2m0LzzepQUev6olosNCjM3FdZ+hT9/Fm3Zz431/k3CmeEt3J5A/NuNURuq3hrDXaYegpFpXBtGe/+5EzHtrrC42smRuYaTgKWS7ArW6MmvSQM3cDNG80hzUt4WgXUikpGhTUs1IqfTDnvU48FN2GpYV5CLeFoR7kqri9qpJiA4K0tTnVW+/wGnlEm2Tfx2OJCuKtsmEzBI7puw4gBP5xejfvgm61CYpyrSN2chMg80ySRMJ6gzUvrRsfL18K2Zs2IPw4CAMvq0bnr75KkSGh8lEmSPZTNkmQdCsNpzIyMEzH36NWR+9gaioKC3JpnX91Wxeydak8mLKtgHJJmrvQ488iqFDX0XHTp20waMARIaG0EHEpQhC9Jwu/wjjirhcAYk+V5NygpycHEyaNAnr16/HQw8+iN69e1OLhsqYbh85fASjP/wQM2bOov7Nzzz9FB7v1xdxsTHy9xibnZevkpdvJq4l3f8Q8g1RAp8pZSbs3rMXn3/9LabPmIWI8HC8/OLzGPjkAERERmhUbBLwbMTIkYiOjqHpu0jbLz9wmX908cqYi2t9tP1f5uQzU1qZSXOL5GhEBF+aE0/evDR4CzMkJZsPkkifIzaZbFuxcMly/Dj9Z0q2ybMmkLLN+20zZTv1zGm8/8pzGDr2K4RFx6upvspRtkk0cnY+Rq5JVqvs1BNY+/OXOLBqPsJjq6DVrQ+i2XX3IDQqRp1Q10QdN1YSFTVbJttSVHLVT5ukeMw8cwK169ZTCLhCtDlzcencKgEi20QNHDRwIB7r+wi6dmqvUf8UM1yFwKhlu/YdwGff/4Jp8xbRlElD+vXGM/fejPBgG376aymOnj6Lt/reFVjVZsHUdObhKkHhiDbnA0tMx/ekZePPAyfwcvum8JB9Trcm0riiZvMkW0e2SfC7TrOmIrpZY1yK+G7NcXy75rhCsqU1eTXKxFieoGFthSfamsmccur4TfrI53aWFWPVr9Nxx2MDNURaabccKWftLvXkMUye8BEWzJ2NKknJeKT/U+jzSF/ExcXRQIDa4GksJZnUVstKS/DV559h08YNePXVV9GlU0eaL1si2Hz71JJsSdmWy2RirZqKa9eERB8+fhpDPvsBva9uh4d7kL5AzMhdWqLNBzuT2+We0xmYvG4Xft19hKZYfap9UzzUrC7CzGaubWvbICN3B3IL8PnBo2gfG4P7UlKoWbDe7JlXZit8xzFyXUEK2pe278L49i3peI/4aTcaMx5hdevjUkTazJ9wdtpUvzGEdM/gfx81RFtHuJlft8dLU+suK8zD1rJC1LSEoHNwJOpYQigT8fPR5pVs+X3MCLdCwGVXrmyvC6s8edjrLaakup05Cs1NkQgl49sKYJTKWCHZZv9t8j4oIwEzHXk46bbjrqgqaBtOgpmpJuESoQ6kZPMEW3UjJUuR24NhSzahY62qeLxjc8oX9mflYcrGPZiz/SDlC8/2bIf+3dvSiVjeXFxPvsFUbI5Q+/lja1RpziQ8YMAzTv0OSNbV8xSVOtB/1ET8OGMWIhNTLm+i/dNHn+LHoe/RsPgWQyWbXpamlDehoA99XV7s8ki1vtyq+5zrdWF2aRZejKkuzRpzgc/yvW4aTGFRYQ5irTY8UrUabqmSiBAbMac2yQ0zMNEmn7WkmlO2eZNxPkiAhoyr5zpVWILJ2w4gp8yBAe2bol31RL862tkjHemmkwgWv07AiPfZgmKM/XMNvl+xDdHhIXj9vl4YcMvVsAUFq0q2WVWqC8qceOCtT/D1W8+jVvVqWrNypl6TY7gBs3+0cX2ubLMfyXa5PXjsif54/PHH0ePa61QSwgWGIkNZcs3k97uU4JbVGz00Iq6+NwT4E7lkVf77AqjcpaWlmD59OvXl7t69Ox577DEatMxI4SZpgt4ZOQI/TvsJiYmJePWVIXisb18poBnKV50D+nZXRj3XX8s/gpZYa7YV83ITzpxNxZiPP8F3P/yImOhovP7aq3hyQH8UFBRi/MTPcOjQQbz91tto0rSZYthengqtjy5eWXPxgORd/7Ln0lGRgXW7lJhLLhK5rygH3vTD9BmiPi94RdvGKdtWzPtrAeb+/ge+/GoSPUZLtlWfbV7VZmT60IF9OHX8GNr3vNFPyTYi22w/U7ULcrKwfOoE7FoyF+Ex8ejU50k0u/4eWKw2pQkrE1z69F68QigTmyArMwXX+l4zRZsQ7Y/+9zReHP4BEqsk6ki5ql4bqdqEaBcX5OOhhx7CL9N+QGxUuMYMN7BKKBHoM6ln8f5X32PKnPmIIaaDAx7Ak3dej0GjP8dDvbqie8uGHNl2+5FtuvhFZ9aRbl2wqVk7DyOEWIzVqqYj2irJrohok8F0cHISuv35M4ITpEBTlwr+3HwYb36/AmHVpAwJKtGWF06ZpkRabidMtdaTbMVqgpUZqN880U49vBdbl/2NB597VRtkj21zxJv0ha/Hvkcj/MdVScTTLwxB74f6IjRUDWjG2qY+sC2JZfDztB/x65zZePrpp3HHbbfS9kpItkS0pYB6jFCrZJubJGL+2LIfNjMT51Vsj8uBz2cvwMrt+zDu6ftQPTZSVq9Voq3myfb3x2bbqbmF+Hz9bszaewyRQTYMatMI9zWoKZmUc8G4CIkrsDvx5YFjKHW7MLBuHcRbg8ol2OTPrdBiS6Nm64QcXbDeMQcOo2/dmkghFookMFZSEhp9/BlsMbG4lFCwaR2OjxkpmePrJuPZPZPupda/XQmSxqnc0mdtWjWvHJjuSFkp1pTk45CjFNWswWhli0DjoDDYYFasmDR+2TpyTbYLvG7Md+Zgq7sQESYLeljj0N4SSds88wRg1s+8kMKjPOtdpmazSarjHjuW2/Nh93lxW1QC2oRHwGqVCbRVS6ZpXmy61pmL27R5stn6cG4hRizfgld6tKPuE5ogyWYz0oqKMWHZVvy0cQ+iQ0Pwv1uuwhPd29LYI1rzcYP82HrlWSHeBmU6c3JDgm10DF/XbEZWfhGeGDEBbw54EF06toO1cVcaHPWyJNp5Z9LwWtNrsbsog4bFJ4nfGyOCy/vLa9zaDHOMKxil6wq0tvJr0kDl3NP6eh8WnsZrMdURKkfR85qAP0ty8FN+Op0MeKRKMm5PSEIImSVS1G7SOKWXnkq4VaIdKEK5SrJ50x/jQGc+E7AzMxfTdx+lnfnJjk3RLCleew4jFZtXrZkZOblnXD489RitT/ap3EJ8MGcZfly+Gc1qJmPcoPtxdasmHMm2gKQufeDt8XjjiT7o0LKpcYRxI1/sQH7ZHOHmSTZ5OD33wgvo2fNa3H3vvTriofV7tVksiAnXmuFczCAP7lJd/lsCvjfqLMfLRwDT8sqYlJNAbEuXLsXUqVNpJPcXnn8OLVu2pBdAcpQSMvPe6NH0If76q69hQP8nEBLCPaTKfYTwf5AvAPmujOp9gWBArMn/NPCZbv/JU6fx/gcf0kBnRJmpX78+3ho2DD2vvVapz5Nl//ZZfnTxyijZeiKuRjyVg3Mxv2EuJUlsqA1tUiQLg0sBPpcdniOb5echy1AgEWqyTdcyyVaVbRtmzP4VK1avwYSJn9EYr7wZubTozMg5sk2C433+3lvo//q78rGcsm1gRk7WDqcD636bhuU/fEYHHF0ffAatb+oDsy3ILwq51GJ9WqLNgknpFolQM7KkkiPJ704q37JsAXIyUvHAEwMVH20+8rjil835akuBqcj3+rBt82Z8/PHH+GnqZJqqS/J1JX4HvN8r79/K/LklMnPi9Bm8+/n3+H7eQjSrVxPvP/soxv74G34Z8QJiwoIlRVBREFWVWyLajGzr8g8bEW2XByOXbsJDTeqgRnioRKgrTbRl81DZfJwMpqv07IbO077EpYKMQjvueu9XHFv2M9z2ItTv/TrMNqsiAvBkWyXaOiJtQLL1qjYfhE9PtA9tW4fSvDx0vekO1exct5B28du0yZg84UNYLVY8/dJQ3P/o4zTHtZrmi038yJM+iol4Fn6bMxt//fE7tabq9+gjsJLxB+mJXLvUEGw/si21VWY5Qdqd5H/t1Phk7z96Eq99OR23dmqB/jd0UfLGexnBplYUFeXJ1pafzi/G51v24bfDp1A/JhKvt2mCNnGxlMC5XR78eSoNf6em44k6NdEqKlpD9LTkWkuy9URSBS++cObielWbjUHNJixIz6Dt5Obqycr+6A6dUG/Yu7hU4MrJxsFXnoGnuFhDqFVo751kEaALksbuux8B15qUszKykNRXW0uLsNteTJ/7JIhafVso6ltCaEotPeEmkd6X2vPwhz2HtvWbg+LRNSgaVjKW5azQGMkmfYAvL49os4kpwlvImOmk14GdrmIcdpWhXnAYbo6KR0pIiKRck9+frK0G5Fr2veZJuFQmZxsiZRYzThWV4LvtB5Fb5sDIG7ugSlS4xBHofsYdVBJ9pqAIHy9Yj+nrd6NJtSr46OGb0K1Jba3oZzIi2Vz+bFNliLfOHDwA+fYLnmYy4dDpNLww5muMHfIUmjeoLQVHi06EpW67y5NoT7y5H/YuWEk7CGlkJEBAGuy4CnGIhDWgoq0n3JU1I+d9GspTu/8sy0YjWxhah0TgkLsMEwtSccblwC1RCehXJZn6OkhkWiXXTNGWFoncMqKtRihnhFZLqBVSDWMT8VK3B38cOoWFR06jSWIcHmrdALVkH2ypjnQn/FRsk5HZBve9SvACMpDljld8sVXletvRVLz8zWxsPngC9/fshLHPP4qEuBi675mPvsUtV3fAnT276iKQS/m0/dJ1UWKtNxfn/bV5ZVtN4zXy3fcQHx+Pgc8M8jMX1/i+MhPykCCEBV8awdGIOTwJssQj0CxnZWCqBNnmCwIp4MeOHcOECROQnp6OHt270yBqBw4exJMDBuDtt4ZRwqm54oCDAwP4RQPXlmvMzi+oks1QDrGWt8mlFBQW4OTJ01iwcCHWrl0LW1AQTpw4gX379qHP/fdjzJiPEJ+QoLZBfdAzI3NxP9W68iSbJ+vKTLoSlEsl2dK29D1NEyNRPebSCI7mJiS7JF8b20G2jJHItjUg2R7/+Zf0WfHcCy8qajaZCFRypbI0YLogaSTAy7xfpiE7KxP3PvlCAFVbLTu8cytmffQmMk8dRYdbH0D3vs8jOCJaMSOnQdF0FgxkmyfadNDkp2rLRNvKq9kyMeLMyEk+7Zyzp1GnfgPFl5tGmVbIj6oc6iOQs7IF8//CTz9Nw9RvJyGYPKc1iqGcNsnjklMmubSqoUyYt+zaixdHT8SmPQdxXYeWSIyNwnevP60JOqVRtZlaqDfLDUS0nW48PXcFxl/XESYyEKakupJEWwl8xA2cfT60Gf8uaj1wNy4FvDBtK9YfyVFS3NlzTsHntCO6XktqNq64tzEybeUIt4GJuBI0T0fGSXsj7ge0bemItsdpR0hwCIJsFs1kDosdcGDnFnz85ss4eeQQ7n3kcTw/9E3JRFyTS1siCrQdwocdW7dg9aoV2LplMyXj9913H2656UYpmCmnWvtFD1cINlO4tcq2aiLOcl876XZRUTHe//5XnErPwnuP3YmUOBLwTPXZ9kvZxUcPl9e89YW2XIo1sDszD6O37MXu3ALclFIVt1ZLwrRjp3BVfDzuqVYVZp9JJdgBVGyFHLIHfgCUK9rQoZUaW4iMP0+WlWLumTS83Kyh5piaL/wP8T1vwKWAkx8PR9GOLX73iofq164l3PpFS8AR0LScJ+GkHkkRecxeiv2OEhx0lKLI66HiW7IlCFXNNkqyF9jzkO5x4rqQWNwTmkDJuGLpJl9jmc+LLK8L6R4plRfJ7R1vDkKMyUL7DQMj2eTIXJ8LaR4XTUV8wu2gWY7qB4WgQ2g0GoeFUeFD5SAyN5G3tSSbD3Ym1yOTd5Rok/epCetOZ+LnPUcQHmTD4x2bolVKkoYjSFmJZKFR745qNmPH6XS8Mn0RthxLxX1dWmDMozcjITrCmGSb1TG+n2LNq9+oDMFmYzjd+eX9c1dswOR5izHprRdpzBGe+JPgaObYapcX0V47ZSZ+7D/UrzwfLqxFLpohArURbmQsW74ZeTnBz/jAAYFINtlPGvJmRxF9ec0tyUaDoFA8F18D9cPCpFlkxX+Ba8xkW27EpDGzYGOKks0IN/9g1PhOqw2H7SMRxH/adQTH84twZ5M6uLlRLdlMXUumNSZEPMHWkGc+AqCujHUWFglQ8a3Wkm1Cen9avgmvTZpJO/UXQ5/CnmNnEBERhhceuts/ArmiRukV6wr8shUlW/LRJt/73fc/4MiRIxj17nvGPqoGxBsmH6pEhlGTzIsZLrcbDqfLr/wfE22DwoAm5eWQcofDQSNoEz/uyMhIPPfcc/jfkJcRGkKIm9HVVZZoB6pr9Ef/W2o23aBm8ytWr8by5Stw+vQZOF2SCT95CBOfa5K3uFevXujSpQusVhtV/X/66Se8/sbrVMGZ+NlnuPnWW8sl2OdiLq4SNWOVXI1yzci2GgiNkmtZzWUm5OTRcE3dBIQS9fIixl+/fI/qKELTBnX8UgaSoIsKydaQbVJuo5+9JgueevZ53NenD3pcez1VpyVCrY0mywg3n2Pb4fZi+YI/0fn6W+RyKfiZSsi9KC2z4/dvPsHS6d+gRuMWuGvwCCTWbeIfII1ZL3DKdiCiraRTkkm3TTYd1yiSSuou1Vd7z6Y1KMnLwY133qsQKI2qzZmnU+KtKzPDi4Xz5+PHaT/iow9Go0ZKimqiS/1hSUQgQrAlMqKJUK74vxIy7MCP8xZi6CffoszhxEsP3Iq3ZX9tjdmuxz/IFCEoxBxcQ2IYyaHpu1wY8OtyfHVDF1qPJ9baRQqMZqRm07VCtAFLVCR6rZqHsOQkXMyYt+0MRs3TZmHxuspwYt44xDTsiKQONylkm4wtSOpQGnlctohQA+vpiDYX1V4JvCe3KZWYq0R71oR3cX3vR1CjjhQTgCnkhMROm/gRZn77OZq0bIM33h+Hpi1aaoQMKQI5y+sOOEpL8NJzg1CvXl3c0Ot6dGjXjpJraRwnh49UrCrIA02fqoszDyf7ucB7EtFWc2RLkzlOzF6yFpP/XIbB9/TCDa0bKm1Q8cWmRFvNf61OAHG+2S5dGi9F3WbtTYqg73Z5MfPoKYzff5j6og9t3AA3Jyaq6aWkSFmG5I9XYQO96hQXFCNfbDKuY2RbcXmUxnvEKpPk0/6kQyvNMdaoKDT+5CvY4hJwMSN/9RKkTZlIs1DwkxTaYYHuM7uPyoSGXuXWknB/s3LtZ6OFPCIdXg9OOOyYmZ+BDWWFiDJbUMMaghAiFOl4CgtxG2QyI8UWTJcQiwUZLgfSXA7kkDZLnlGEl5B3F7lWeWyWaA1CdVsw6gaFokFIGEIpqeX4B13z/ETeJgSbiyCuruVteqwFRR4Pfj1wAsuOpeKq2sl4oE0jJDIFWyMMMu5jCRz0jDwfYMLP63bhjZ8X0mfJZ0/dg1s7NDVQsmWy66dkB86ZHZBga3Jvq8cWl9kxdMJ3iI6MwIhBxMUxiFO7ZTJuCYKlfof/FxPy/xeiTUzGRzS/AfaCIt0e6avJTM0a5CIWQWiBSCUompYIGJuRV2Q6zlRtPh2FPlT+KbcdIwtP0QHZw1GJuCeqCs2lyIgzT7SVGSLOPIMEF9A8/MxGqrZOuZZnbsjfvvJUOubsP46YkGA80rohmleN1+bO5s/BN0odwfYzIzcg14razTd46nfBUnhxUcZlIp2eX4RBY6dg/rptaFy7OtZ8N5ZGZPYLfhbQF7scv2xGvuUOQIJULV22AtN++gnffDuZXrO/j6pB6iT5c5DVgoTI0EvOZPyfEu3KkG2/ugb7du7ciQH9+9NJjrfeegsDBw7E3LlzMWPGDDRq1JCa+nXs0EHNia0jzySfNkmZRZaS0lIUFRaioLAQubm5yMjIQGZmJux2O0JCQhAcHIKoqEgkJCQgISEeSYmJ1P87IoJ3J9Ge/3zvCokiu2XLFqxdvx6bt2ylfadH92uoGXidOnUQRGIRGN4srYl4ekY6XnjuWSz4+288+NDDeP+jjxEZGVWhIq2S5fIjkvuZoXNKthrpWs3nzFJNMYKt+Gv7gCphQehSm7dAuLjgs5fg5KKf8cLHX6P39d3w4C09pWcOIdQkrSAJuqiQaul5RFRstpbUbStKnW7c99Aj+HTCp6hRu64mCFqgiOSEaDvlYGfjR7yOR198A7aQUJmES+XH9u/B128PRubpE7h5wGD0uL8/vDAr5uQ07RcLRMdFf68U0WapkrhUXRp1kaX44gKjweXEiGcewcdTZyEkyKYo4JKyzecz1pqQs89SkB0fdmzbhk8//ZRe08033YQbrrsW8bHRnOk4p2pTgs0+yxGcqdmtC+npmXhy1HgsXL8d91/XBZ++8Ciigm0c2WYLb57r75PNlGzqj+1yY8Bvy/HlDZ21ZuNOD9yOcog2p2bTbeV3kfpWfM9uuG7G17hYkVFgR5/P16DYrg+MSVqPF8UndiCqTitYiXWdnmzLqrbNwF9bE2hPtpqQysw0joMS5Z5zW5j05rN4+p2xiIgIV9rXqYN78fGrzyH1xDEMePk19H36eQTbrNyEjtaagixpp09iyIvP00nanld3lUZ11P9aerKxJ2uFgc6IiTgl1yw3NrOe0EYW33HgCEZMnoXOTeri+Tu60xzDepItTfhw+bB1kz2sDUptk0XJVydwFKJNnh9ON+aeSMXStEzcXyMFv505i7U5ubgpMREv1qyNUDKe0ZmI+ymsmlecz5Bls1g+WpItjTGZqq2ON1Wy/TIJiNahlap2y8dFt++IOq+NxMUKV14OTowYTE3GGdGW1GrjqOwak3uNui3XN/LhNjAnD2Rurp8oOVxaig9Sj+Gs04FH4pNxT2winWRh1kwELGgaeX6z8T4fa4FOzMrPKXJOp8dDm3cIHZtLQhqtL//25J2hxGlgqrQs/LEgx7yirUYPZ2q0SpS3Z+Xi1/0naBTx3i0b4IbGtWjmHtViVuUrTLmW2hSXJ1tDuBnplsb1mYUleO7r3/D3tgN4uEc7fNz/bkSFhxrnxebNxM3arC7lK9hsv2qCzs65cutejJ4yE6/3vx89O7b2M19XP5uAiHhYqje7PIj2xJv7Yu+CVYZqNRmSSMTah20ogBM+dAaJ2qoOcE0G9Qkq8tM2Mh3XkGyzCWsd+fi+JIN+fi+2NuqFhEm+DlyAM23j1RJsJeG73iebU7Q1BFgmxyVuN37eexSrTqajR51q6N28PuIiQnWKtX+ydz4CuUbV1tRjx0mNX5PnjnYQyXRcafgyOS4vX/aiTbsxcspMHDh+BsmJ8Zg59m00a1Rf9cnmc2RXqF4H9svet/8gXnvjDfz8ywwEh4QY+qgapTniyU1seDCNjnupmIxfKKL9T03Kf/jhe7w0eDAaNmxITcabN2+u2b979278OmcONm/ZQk0FCal26YK5WW02GiCNRDEPDQlBVHQ0oqOjERsbi6SkJLqQ/UQ1J0tBQQFNN5aVlUUXQsSLiooUgkIQHBKMqMgoSsAJQbfZrLCRfPEmEzz0BeWBw+GkBN5uL6Nmg0SxZo828i+5njZt2qBr165o264dPY/+fge873oTcZ8PP037Ea+/OhRVqyZj6o/T0KhJU52KXX5QMyOSzavfhu4RHMlmJuK8yTiLjM1HIm+XEo3accRS6OKDc/si+PIz4IEJL4yfihYN6mBQn9vktIIks0EQTDaZbLPAaLKSTdcc8T5y/BReeeNNzJg5W/K51gVGoylaWFRyMrDxepVI5CsX/Y1D+/agz8DBCslePOdnTP1gGKrWqofHho9F1bqN1EjmLFgal/qLD5hzLkSbpm7RBadSzHQ1+bSl7a0rF6FJizZIrpbM5dzm0ywhwFr+Tvm7yTWRSaPFixZiyZIlKCkuRo9rrsFTjz+KUKI4EpJNCbNTMidnvtuKma5TIjAuJ4Z99j3G//IH6iQn4ue3BqFJ9SraOhqirY3orCHZThfKyhx4af5aTLiuo2oyThaHW0O2idm4kkebJ9nyZz4VD+knS8ry8ODIYbju5WdxMeL5H7Zg7eFs6YOeb8lBVFOXTkFU7RaIa9pZItvyOEWJQM6IM28iTgm1nlxrTccZOWeuCFuW/IGrb75TaYcr5v6CL0e9jpp162PYuC/QuGlzv/gA/KQOWW/dsA7jx47BJ+PGoX7tmrD4iBm4HEmcPQCVBysf3Eyfdo65LrD87DqC7XYhLTMLIyfPgsfjxrCHbkVKTIQcaZxZVJC2RtpqgDgBnKJN2hxbszR0Uj3VpDizuAx/nDqLDZk5uDEpCTcmJlIrSlL3r/R0fHr8BOJtNrxTuz5qB4ca+mRrSGMAKH7ZeqKtcU/kU9Dy5uNmjDl4CI/Xr43k8FC/Y2sMehmx3S/O9Hdnv3gfJXu3KfnIVTVbNbH392fnRjOKhYCWmBsTbfl5HYiE6yZJ/srMwCcnjqFmSCjeqFMPdejvy12T7vfU/l7q76aQbJ0JuxoMOUB0ecZHNCRbXjN+wm0z3+oshxPzDp3C2lPpaFs9Eb1bNUTdKjH+Yh5HZjVCnkKyedKtpuZiIp7EIyR1+8cVWzF0ylwkx0Xjp1cfR7NaKVyubH00cTXCuCbImcYHW/6d9cfJx+4/fgYjvp6OOilV8Vr/+xETFakl9wFM2E1J9WCO0uYzv+SINjEZ/4GajKsEOZBxOCnfg0IUw6Mh29oa9LL9/LUVc3Adqdao2ixaJvXR9GFGWSZWOQvQMzgGXnjxaGQSEoKCpXOwRswRbD6CnxIiX85Hx6vXEsHWlrE1CZk/bddhbErNwsOtG+KGBjW5GUe18fkFTjNQtdVOok0I70++OXNxubNoGiArYwHPZPWIqdq7jp7G29/8gplj3sCpzFzcP3Q0jqem4+uRr+CB22/UEG2VQJ+7X3ZGVjb69nsM302disSkqobERDHRDECyGbVKjg6/6FJ+BTIZ/9eJNveB/8y2CUElqgMJhvbY449j7NixlIgGOg95ZJSUlFDCbCUzoUaR1vj6yj/nAvVlKZHnIhQXF9NrdbnccBMSQPo/VXcs1DSIqeQk5zAJ6iap7qq5OFOI+Wti7aWia1SO5ZTmI4cP4fFHH8bJEycw9tPPcHfvPgHbpJ9Vhr6OoZWG1lycNxvXk2wvRyb5SOS5GWdxc7OaqFnt4jKbdZ/eD/fe1cqEHnluvPn1TERFhNOZaEK0TbYgmKxBWjNy3kdbiUQuke/PJ32LoJBQmqVAyntKSLVMuOm9ke6ZYj4uk2aiJvwx8ydcd/eDKCkrw1fvvomlv05Hj7sfxIND3qGmZew4Sc2WSDqZMGNkXvktvOdOtJXUSXwwNC7gmYZwm81Y/scsXNPrZsTGxHC5t7m0S5oI5+rEM59eSRm3yD3DQXJoz/8Lk7+djGGvvYKru3SEyU1INgkuJSnbTN2mfrAuQridSuqkB18bgx2HjiE9Nx9fDO6LPt3aKv6yTNnmTcQ16iFHtIn11Cdrd2Jk19YyuXZL5JoSbGmbkWzis63kLWbm427VyoBZexA/yg8KTuGNGk1x95o/EXaR9QViMj7ytz3cGN1f2STtyOdx4tisd1Hz5qcRniSNG4iiTcYbvL+2hjxzBFuKBUCi3Jv9VG2prUltb9/GlWjXrSedRJn64VtYPGc6bu7zCAYPH43w0DBdfADZTJxLKbdv5zZ8OPpdTJv6HSLDgmH2uukisxrJRFwBZzquiSQuB+JTLCnklHHM/9/tQmFRIcb//Ce2HTiGNx66Be3qpqgTOzIhV4OZsVgBBhHwFbcFnmxzaejcXpQ4XVh5NhNLUzOlgFdJSWgfEwMzeU7r0kmdKinFOyeOIM3hwEvJtdAzKtYwFZXRTy393uxn17oJqoq1TsgxGSvac1LPonpEGLomJfgdZ4mMRMMxX1x0JuRFm1Yi6+dJciouQrKpqZCxqu0H/5De0qZ6jDLJQc/JSLyxpQFPtO0uD8YdPIzf09JxR3JVDK5fD8GkT+onTWRyo/xmjDsoZtcc0ZYnEhRXBPKCYr+7TNLVgMnqwsg0T7IVrsJtF7ncWHQiFctOpCE8yIq7WtRHj/rVqRiiCYisSYfF2p2OgxiRbCV1lyrYsc+MyB45m4WHPpyC4+k5+OL5h9GnZwfZ3FvOjc2RZcVsvCJyrdlvxh7iuvHzPFr+9tMPoxZ5vhuYqxuXkZelDeYaLaSxxqVItMs3Gdfq1PLl0H+3o4Cu2yCqwnjLzBeC5ZULZDquDERMQKnPg0llZ5HqcaBveBKuDY3F32U5qB8USgOiMUVbIddcQnemYluDLdow+X6m4lrfaPKD/n30DH7ecxT92zXGdfVq6KJ/c0RbQ6a1pJo1FJV0c+o1fx6OfKvpvghxltd841NmotS0XFJdKw6lZuKFsZPxywevIi4ulg6KSxxODBo1AdP/XIL/PfkwRr/yPMxW63n4ZTNibobT7cH9DzyIESNGoGnzFoFJdiXUP7IOsVqQFB2GS8Fk/N8k2gQacq3rTpkZGbi/z33Ys2cPxn0yHn379q18ULXK8OdK/D2+gN9z/nfC76kmR/rUE+Zzve98GyP/FJeU4JWXXsCcmTMw6IWX8Prb7yjuDhqLC77dlqd0/wOSrfHVln2Td61fjTYtm+O+q7TWCf8lvGVFcCz/SRp4cykDyXr0tHl0AueVfr2JeYT08qNrm4HPNiHcsmk5SfEFM+7q8yC++vIrJCRVhdtnUu6Dxmdb3nZxgdGKS8vw67QpWPHXXJw4tB/933gP3W7vI9dhhJocJyvhJC0MsyDQLedDtBXCzczBOV9tvaq9Z8NqbF+3As++PkIxLWckh897rJiMs4jnMslmwXdUaxfJjJesiwry8c7w4bT+mHffQQiZcKaRnCVlm5BrdZEINNnOyMxGv3c+QWJMFH5Zsg4v974BIx+5VTL7ZWmUKLnmCLdCsFWifTA9B3P2HMWQ9k3hJkTbTsi1rGw7OKJNSDYhQ35qtpz3XHGvAJaW5dG/r1twDKr1ugbX/zIJF5vJeFEZIaKkRB9ZWatsep2lkoUaCaIXFqFEGybm4xaNP7bcZmRSHcTIttVY1Wb+2kSL+nzok3j67TEYO7g/Th3ej0Fvv49b73uItj1WX6toSyayZDl++CDeHDoEP0z9DlVIMCSvC2Y2ScOINp0mV43H+ajiGh9sLi4An6vdZbfjuz+WYs6KDXj+rutwU9vGmngANNq9hmQbmIrrg/HJbVCylpDXbi9OF5Tg6wNHUeh0oVtCHK5JSEAUefbwfr36oFrkXe9yYULaKSwrykPvmEQ8HlsVJhIcTeNrbPRbm4yJthHJ1llRqhlxpO1tBfnYX1SEfiT+hd+xZkS164BaQ97BxYLME0eR+vkoxBCHSqZkU6JNUnvxZNvoBW8wuGHg77VCpOXz0XP7B6XjJ0SySx14aeMOHCksxtDmjXBH9WTO5J8JAqqqrVoYkKBjhDNYUerzIc/lRK7DRbM+1I+Swz/L6eM8shuM5u/SpPrV/v7MXFzNciQpztkOB5afTMPKk2n0eUDiPPVqXAuRoSGaFF28iTifhUV91nDk1s98XM1WJHELttaTWonPlDiceP6zn/HLis30vTDqiXula+DIstY3uwJyDRONDbJg/XZMX7gSVeNj8eLDd6FBrerlKOVGwdg4k/PQGFiSG+DfAvmt/zVMH/gm7AWFipqkdgM27cTKeX9MoDWiqM/2MZShLsojS5IhOSNhxGRQGjRIa/KZBIVgOWfJSyTD58LXpWfhhBevRtakYftJZ4ozW5FLHtZcHzZq5Go6L940Q/WT8FexzThKQuCv341WVeMx9d7rEBxkLZcYK+TYwITDWL3WlvHm5rxyzQi1RH4ZsWdKNvOvZh3Hgt3HTmPo59Pww6iXERdLzEyk/eEREfh+zNto26IpXvlgIs6kZ2PyRyMQFGLTzhQxs3CuA0oqt9ZcnKzfeOM1PPzII2jWvIWkVnMkW0mVFMiP1cBUt9TlQZHdhUhyTRcBHAb5sgNB2xv+OfhpLL4fHj58GPfefRc1s160ZAnatGkr7deTTm6i2Gh6rLypOl9lyrjvU/529rA9H3BKtVpmZPnAk+zK3XHN8T4gNCwcE7/6Fi1atcaIYW8gNfUMxk78EkHBwQF8tDl/7HKsMniSrfpoBybZKhmX6hJCOHXMcNwzcAhKgyNxOLsYDRIicDHAuXUhfPZS2S1FuvOS85APrz98O54aMxlLN2zDdV3a0ZgN2lyZ3EuXDgyk5wepQwYWbwx9BeM+GUfTshGySI5nvsnkcUg/k22ixMm/p8VnQnZ6KqaOfx/hEVF4/4e5qNWkBSXU0nESSfWZZOJM11xgTt1yrn2XPrfIe4o923ySD5/0W3LbXhM8Jh9adrkaOzasQpndDnNoCMxe+Xp8Jtp36XVQQkMumvVa6T6T85G/iYDeQlaf3icTIqPj8MmnE7F4wQLc3/cJTPnqM8STADls4sDCzH+lwS9dey1ITIjDDZ3bIjk2Em0b1MKrX/2CM1m5+Oq5BxDMnv3sPaX5DbXdvMztppOk7EGvmIwqaZCYcsQNuNlng2cR+bjRWYTBkSl0+/SilTj8y1w0eOAuXAwY/cc+FBOSXd7zUnlImWAOCkPxqT0oOLQetW95BibyLCC3krYBHzx0OEDat4+2a8pTzGrAPrWNyWSDNDwOJC82iVcx/LG74LTb8cGPc9G0ZWulD0jthFlHcHmyiWn76ZN4Y+gQTPnmaxpx2Oxx0oVO0pCJGZloszeJ9Ig3aVPNccSamYfTyRyvpEj/tWozPpuzAPf3aI8/3nkWJMoNnA6tiwIJ2EeVaF2wM1ZGibg2GJ9qMi65JpSUOfH9oeM4mF+EZ+vVQfWQUIVQewhJ5wNqGUStDvKaMCS+BupZQ/Ft3llkOZ0YHJcCKyPb3D33c40M8HAhxeT3In1bWnOmVvJvSp4B7Ey1wsKwMD2TewZw32kCinduRf7aZYjpei0uBhyfMxVD5yzG1bWr4aGW9RFKxBv6YGS+7uyZ469qq+8Iv79U2aJ3XTEj15qk+5mly88cEpj4mbVbYHd7MPW6zmgaG6Xu575BJd5EPzLRZ93u/AKsPJmFA3mFiA0LRpWIMMSHh9Bzfb3nMFweD5rEx+Du+jWQEhFKMyywfknPo3MdIJ3NrBPwit0e7MrKw/ozmTiQk4+E8FBc26AGJtzdk1qT6GMzKVHDNSRWe7tUks0UZ/a9WpKtFej0/s8qkQ0PC8OUof3RpmFtvPbNbJzJKcDXr/RHcFCQmtqL87MORK4dRKHfuAO/LV+PvKIS3HxVO3w17HkkkPgipC7/3TrVWyHyfEA0/nvshfAW58AcEX9pEe39S9Zg91/LNGbePJghuZZ8sy0TTfm1EJmIgQ1xsBkq33rty8vMyfnnDx3ESGT8uKcMU+1piDRbMTi8JpIsQcoZI01WpHoduqtUphbVqOI6f20pZ53Fb4aJ/OBH84vw1db9dAD4ds/2qBEXVSHB1gck0KjZTL1WfLO1ft/ss3oM1/gVX2yjmScWbVwl4pv2H8XIKbPx8+ihspKtBjpjAdQGP/EQqldLRr8hw5GWlYPZ30xATEyMJkWX8bYUWZw19OnTf0ZIaCjuvvseXVAofwKtlgUm2axOTokD4cFWTfqE/wLUjziAXzYP+sDmBr8EF9zcRL4/GzduxP339UaVKlXw+1/zUbtWrQqP0Xfi8qzflHKe6xps6ev9o783wDn4CQHWVvjv1ZBu/qBAE+S8ybl80IBnnkNScgoGP/MkMtLTMemHnxAVHaMzDw8c9Ezv120UZbw8ks37ZZNl7uTPUKV6LQSHR9LPm0/no05cGDVN/i/hTjsGz5lDkoItDyokkq3e7gkvPop7h41Ho9rV6fMFJrdEptmzjRwhB0LxkZRUXukzebZ06dieEsWMtDQkVasukQ6fquR6ZZJMUu8wt6O92zZhSP+HEB4eiedHjEHD5q2okk2OlRRpJRkchUzxpRkpNinIrBbO457wzy3FgoHwDnK9yu8uEWQTMQIA0O/lYdiw7G9063kDTCHBtFx5n5rJQJL+kXRNJgiIuk3OR85Bzsf+DmlgKk8ekO8nxMlnwnU33IgqVRLwYL8BmPTZJ6hTrar6O3EuttIskOR3O+i+W3HHS6Pw2+iXUC0+Gv0//BbpOfn4eWg/RAdZuQGVzkyR++1dbi9VThXSzH8Xf8+4QTFbjG4+CXRKUvFYacx1qcrmUZ+gzl03wxry70ebLQ8bj+ZgzaEs6QOb7GN/M1dPeRfQG29CZM0WyNr8O8pyziKsSorMVSWiTbfJb0yeBZRsS6SMfwaR5wH5jY0mHrNST2DvprWISaiCEd/ORPWatWThQnU9kCabpJ+SuSuUFuVjyPOD8PnEiUhOiIHZbYfZ7QDoIltAMKJN1vxAml6jNIHD8lzz6eII8d6x/whGfjcbberVwMw3n0Q4yabgITEA5Ej4SlR7tz+Zlok2iyCuRhKX4wQosQCk9b6sfHyy5yB6V09B38YplEi7ywiBZ+bGOtVTH0RLTitHtm8Pj0esyYJPcs/QCNOvxdZAmJzASQ824UVHxyzvMke0pWecHJWa9G3641E/SMNXVXxQEHJ0E/w8aSPr7LnTEdWxG8y2f89stjJwHD+A6qVZ+PHRWzB/7zE8NW8lutephvtbNEBUkFUmxRLh5ifWKCQZWSWGFCwNLlcmv/DVZ4cRyVZJ/Pb0HDyzeAPiQ4Px3S3dkBIRxk30KV+jfAfpVzuz8rDgRCpOFBajXUoi7m7XCC2qJ8EabNOM7UkbJBYUW06mYfLWA8gqKkWPmlVxVUoiqkeGSX+nIjSbaNDkrDIHjufm43BeEQ7lFiCrxE6FpNbVquCu1g3QNDlBcuWzBAqGzAtwbKKa3Raf4X1TSLfmnJyrKSPZitm4JWCQsxfuuxkpSVXQ/4NvkJ5XiJmjXkRMZKRKhg0m1Imb1rKtu2gmgay8AlzfuQ3ee74fqiUSlwe1rpqLmxFtdv16gq0NnMafw5eXBl94rHTMpWA6Tk75Qcc7cXLLLlai09PUYZWkSSuXo54DQCncWIEc3IxE5WHP74dBYDQaXIYLdsa2T/vs+N5xFinmYDwVVg3RFqtiVk5Mns54HNjqLMLD0Umyj7ZkIk5Mwy3BxFTcKq8lUxCyLe23wEwCoskkmzwM15zOxJz9x2hQmUGdm6NufEzlCbYmBRhPrNUOoqz1kcm5wARsUKPpCKwRMoKtfJY7iUymZy5djxlL1+H7ES+r0cUVMq6alzO/7NVbd+KeAYNRt1YN/P3zFMTExlbCL1syJd+1ew9Gvfcefpo+nUYb9icbBma1fqqgVs3gBw9xYUE0ONp/Bepj7HBIgS8qe4zyz4Un2qS3rFu7FvfecxdatmyFn2fMpIHNKjsXUVlFm6OylfqblP2mf4dks4EsPxGjJdnyFRtcHH9v9JML2jbnw6YN6zHgkftRs3Yd/Dh7HiKjYioZ9IwL+Ke0f12k8UqQbPLZ5fJg9+Z1aNzhKuU4sq9j9Ri0SYnBfwVyD0rnf0MDoLGJPcVsnJqGq3EhjpzNxtCvfsZvY4fBbAuWgqKR4Ggaf21mOs6CokmfN23fiRlzfsOHYz6W/aohm4+zRTUj37h+LZ59tA8aNm2BUV/9QNOF2ULD1WBpxB9bNh+XgqBJZbyvNjMjP18fbek9L5EYyRRXzX3M58qmEco53+01f8/F2RNH0X/wq5xfN286znyzpe+SyJL/1LcioGlcr8jiw9nTpzBo0DOY+PGHaFi7OkyEODGFkvpqO+jC/LF/XbwaB4+fwtAHbsHa7Xtx34jPUScpHr8PewLRNqtkOu6UF1lJ9MifPQ4X1h5Lxe6z2XisaR24idm43a0EQmPRxiX/bGlb45/N0npxqe6mFWeifVAEallCZas3qf91GPE/tH5hwH/aF/p9vQF7Uwt0ShpHuJUfiE3syCTXDLhL8mELjYA1JEQNimaVU30R03BmMm41I5gzF2drViYtFvr55O4tmPDCo0iqWRvvTJ6NuLh4aipOzc5ZSjCNGwPZR/JkezHwsUcx+IXncFWHthLJdpGlTGofcjuhZJrmw2YsUh67KA9RojjLSrbsh52Vk4e3v/6FEudhD9+CatH6QGeEVMtrIz9sjzY1F20vchk7hgbZI+3Q4cEfx85g6dkMvNagISJNZqltubwa9VpVPDnrCl0KKPq8l9/5pMo+Zwk+yDtFxZ1hMbUQzg3m+ckmRURkViac6bgSoJdL66TPcsMH8SXlQ3buppHH9fGG+MjUiff1Q2yvO/Ffgdyr3B/Hwpl6XJrIoO4fHizYdwK/7j6MEIsVNzWsic7VExEdEqS8NFU/d3ngYJL6/La0HKw5eRbHcotgJ+0IskWS6kJNERFkRWRwEKKCgxAZZKU5pMNtVoRZrThJYkWs3426sZF48+o2iA0NhoWMaaFGCS9wOFFgd+FMUQl2ZORQF6SWyQm4vVk9NE5JgCXIBnOQjfIFM7VilZRW0uZZ2yRtkDz3CgpLsPLgSaw6egan8oqkaOXcuILEXEiKCEPd+Gg0SoxDo6Q4JPGpuDRqMxcJnIsKrnAOPkAH9xvox19G5uOKgMfcSwMRbt5026Ql0mv3HEbvN8ehbkoS5o97Uw5aphJfovSv3rEf81ZswJHTabiuU2v0ueFq1EgmAcu0RFxLzpmirifRWoVdbxXHBnjU2i2mGszRiZcG0d466y9804dF9/wno2fgAIrhghctqL+2HtwsDB8YTQ7OYZMHLqk+O6Y501DDHIIBodUQRgYvMhEndUijPuIuwzF3GU3tRQc1hGATIk2WYCusIRZYQ6wS0Sakm+0jnYj6aJsx/2gqftl7FF1rVUWfFg2QGBWm9af2I9jlpObS+14rJFofsEBvIq4zoeBnmvQEW6d2kzQ5r3z+IxJiojD8qYdhDQ7mgqNpO5M+jdf2vYdw00MDUIeQ7Rk/SMp2BX7ZJaVluPe+Ppj6/Q9ISKjiR6jLizAeKOo4dASc3I7a8ZF04PlfwO32aMzG/2uyTUh273vuQtt27TFz9hwaNExVts4NWtKpU6nLI756dUq3Pi8EMP/mCTXfXvTXGOh6A90TLdHWWlPs2bUTfXvfgRq1amPqrLkc2fb30faWo2KzSaZzIdm7N63H5mUL8ND/hiu5thnRJuSpb7sakmnufwDnsd2wr5ypzojL6QRNhCzTmXjVV5sQ7w9//gtN69fGndd21UQgZ/7afGA0khOTEW+y3HFvH8ye8ys9l9YnWyLd5J5sWLcOTz/cG81at8XHk6fDHBSCV/o/hOFf/qgQbDJ4UlJ+MYLN8m3LZaQO/Q3k30j7/DEm2mb+s2Khp+bXVtIzcSRb77NNfs/vPhqJfs8NQUxsjCb/tj7SOCPYfDR/I6LNJgHY99nMQFZ6GgY88QS+GP8R6tVIloKkMaWSEimZbFP/awfuemkUvn11AOLDgrH9wFHcNmwCaifGYd5rjyHKZpFItUy02TYZbJL12qNnsOdsNvo2qSP5Z9tJpHEt0aY+jVwwNCX1kmzCyyKOk/Xo/FMYElldciNjfYuk3YmOwkM7liA4xmhc8e9jyd50vD5rp0LKAqUuUqC881VFmUQhr9rpToTEJylpvgjBUoi2TKAVQs38suUlmFuf3rMVX/3vCUTFJWDAsA/RusvVql83R7aDWHA+eTvYYsLHo0egYb266PvAfbB6nZRgm5yldPGxiRiyZsGtmALJxiAcCImGHCX8l4Wr8MOCVXin7x3oUK+6kgNbTdmlJdJK7msDok3TctGAatI18JHvid+/0+7CJ7sOwuoDBtSoBchtS4kFwJRq0rA0qihnXcHlx/ZL9QfgmMuO9wpOIdFiw+tRNRFOxkd6cs31UeUZQdaWQBGmtQSb99Um61d27sa4Dq2VCNUsoK+U+klK/2SNikatERNhCf1vslM4Du9E4Z9TleBg7Ddi5t1ZRSVYsP8ENp/OQH6ZA7EhQUiOCkdsSDAl3nlldmQUlSG1sAQOjwdtU6rgmrrV0TAhGmEkfzJvIi2vyO9T7HChyO5Eod2BArsDJQ4XXfak52DKln1IjgzHHU3r0ENIJgryfGcWTsQyjKTjjQ0LodfStkYSwsNCpHtKyHVwECwhQbDYCNkmHIG4VarEUGq7xErCA4/dCY+DLFIcC8nSgsVskC9bEeL42Ev+bqp6kq26vjKFWaccQKfu82DXq3w/+14unpMS+4llLtKbbhul9DJh5+ETuPml91CnWhLmTxiOkOAgLN2yC7+v3Ii07Dxc3bY57uzRGY3q1CifXPuZiBuQaYN0Ypy5gCT1skGw2QpLSmPpb7qYibbH7caIZjcg89AxuURvY8Got3+5Ecgc9Pz/Y+474KOovu/P1vSEJCSU0HvvVUCqCCJFEEFBRbAAYlcUVEQUBOwNxIKKFKUKiAKCiErvvfceEtL7lv/n1XlvdjaA5fv/jQ4zmZ2dnfLmvXvuufdcXEUnxCMMDoXD1ifVG6gy1Zf8BZjnuYRy9hA8FMJBNgXYOtDeWZiFQpsft0XGMfVXImIgGGwOtF1hTgmyCcNNmGyHy4kC+DFpwx6ah/FMm8Zwu1mDUxnpAAbbVPjdMvdaCqMZL5nRmNTtJq+RDOEwVAE1Rpvuo7wUdge2HzqJVz6fh+cf6IuurZsq7DUv8aW8WEYpL13kbOeBI+g+8CFUrlAevyyag5iY2MB62bJutg2jnngKffv2Q/uOHTUDVQ2jDQaoZQRRMSBbDHCxYW4kROkq2v+LiZwDKedlfsX+Dti+me8FmzZt3Ih+d/XWQDaZtPcpCOAODpADBV3EZyqbHOwaDCBsYr9vZgpim8rzkI5vo00EgmzjDFR2/XrOB6soCjIf2LsbQ/r3RrmKlfD1/KWIjI4JbM8ay62z2EGF0IoB2edPncQ3U8fhiamfwRkapimRC+GuJmWjcWuV/73SLKmDmzn/A/izr1EhFFkuhPQxFGQTJVRR7YDU0XYhu9CDAa99jBUfvQaHO9Qo+UWXKpNN2G0GtAWr/d4nn6F2nbro3LUrL+9FbWfJam/ZtBHDBvZDvUZN8N438+B0sxraox8ehJc/nkmF1SjYJqrkCrutMtricxLuLIXoROQKb9PXA9piuwS5slySIYwmVcnpmGXUSRYlnPZu/gOVqlRDUrnyXLXcUB03/xaZAoC2YujT2t5KSDAVWLMBly+cxfBHH8Pnn7yPSmUTKdC2KSCbKpBTUFWIP7ftwrLfN2HyI/2pcvXuIydw56ufolJiLH4c/QCinXbOYjM2WwBtAro3nbiAXeeTMaQ2Y7SFAJoBtBWwbQLaVBhNlFzz+3HFU4SFuVcxNKKMrGurlvxq9MyjuGX8c//zd4EwNvd+thlnruYYpYVk3nSwsBqF+eTPMvfiEaQd+gMVuw+XYmgEOAmg7TQBarbuCADaFw/uxBejh6FynYao3bQ1utw9CImlSlFgHaIolhPATf/mjHaI3Ya1vyzHxj/W470pE+HwFsDhyYetIBcoyGFzYQGK8nKx78gxnLmUTGdynbUrlUOdyuWRRBSxZd4+ScUuwt5jpzBp1o9oUrU8nr6rE5zE3aiU6qIK9gpzbZToMqmJc8ZQsNgi+oHsT8Wn+JydW4hXt+/DrfHx6BJXUm9fZClKxvFoCTU6KmBdgm+lr1fGntOefEzOPItEuxsvRZdHOLGzVHCtvIuGgKGhKm43g225bpT3UmsrU6DdggBts7gvB9p06UTs7X0Qd8eA/y/jQsb378GbmsxUxhVniFQCl/nUbHktJx9XMnOQmpeH9NxCyjaXiQ6nwDiUlCY0RX1KG5y/RwFxeYrxuOXMJQz+7mc0SkrEt4O6sVKHVuctnhkXF7ORMczFHMR2txuOkBDYQ9zw2uzYTdj1y6myHFaZuBJoUbMSfX8o2C4ohK+wgC2paCRZejQArIkgq9ekEHMs9ZNjCknEqWyy1VVIY0TaQXIAM4mKGYSgWc8pkNCTIdtK/rVNbqPIHRv2HEavZ9+E2+VE09rV0K1NM/Tu2BoVrsdca+Ba9IkWIeIB++lLDWAr67boBDhKlP6/naNNynkxkC2YbDXb1By0ZkziU33JYHUzlMBOZKINYoN8y+jQbIIFstmQ7CvEfO9llLWFYLC7DFw09MMEAvh0zedBOVcIu9+yFqHRickOinZWDukVvJibh5d/34HHWtTFrVWStBAO0tFpeQ6qB0oN87BSDheNIyCMXAkL10IlFK+N9gKQzwWbrLLdbFtGTj5en7kAOXkFmDPxBSTExerAWgPZ1mW5RP514/p18cv8Wbj97sEYMHQEln0/Gy5SJsoiX3vJkh8p692BgmzjmdwIyDbskEAWVQPZ/O9ruYUoEe6mXvj/5eQhg4aF0STa9/Umut+N7nyd6fChQxhwz91U8EwF2QExJ9ofymTBXl+PtVa3a/sEAbZ/i9kuBmSLXwnM5zd+X2O8LS+ETxbjVOB5CyMMqF2vIWbOX4ohd/fEE8Pux/TZC+ByMU0Ia2CtrCNQCO16IPvy+XOIjk/AyEmfaCBbGIdCEXv7uXQaPh4V8p/qYAZMBQe3wZuWzBTZxc0U/Rs5WZuX513zpdeOqFA3OjWti1/+2o47O7SmolusBBBJQnawMFSSnOwPnO/u2xtvvjUVXW67TaYdifn40cN47P6BqNuwMT6Z9QOcIQRkE84T6HXfEHgK8mEPsRbh1Bx6Jo+NuX1db2LtheRQ66MkPQ7NpSZ5f2xMI5EJxAonudB2nuJK8zh9fpQqVxFTXnwSY9+ZhjJlyho9DLlNqjMpiNdIdVKTfHaSp+1Vv2uzoXRSeXw6fToeHTkC330xHaVio5gBKC6cPFXOQrVr2gAf//ATzqeko1xsFBpVq4Tl44ejx2vT8MDHP2D+UwOZVoASmigE0oiDwGuVdK0N3MHvrbrbrsJsNHRF6mOLwmrv/mwWGg6/HxGl/9saquZpyszFOHethGLosBW1DVyv+ZCPI5JqIf/aeQXgCYOZvfP6bDj31Cn59HHMHPMYKtSqj1HvzaSOkliSSkTDbW2K+JkAfkYKw4Wzp2gJr/nzZsPp99CcbBouXpgDf34O/HnZWLNpG975bgmaVa+IqmUSUK9cAm0jh0+doezVxdR02n9FR4RTHZOM7FzUq5SE1++/EzVKx2th4moeNlsPFDZjoeQ8F1uAbVFGScnRZuriXlzNysMr2/fhgQoV0JDoWRQYaQmqM0c4KvWIFcPeCHS6BmrGkD9I6uLzkeXxdvY5fJh1Ac9Glaekj9CBIPsRUUKV4RbHZuJnQgiNO2h4n0D7ES6AKPYVjlxmHgrQpRJ9Rh5v1sY1iGl7OxzR/9vUoqKjO4GcNAr4iZIfERHz2zmrTa+Rqvlx4E00OfwoGROBktHh1u+JTK8QpJNCVvFOLph5c+RKKh6auwoNy5XC7GG9aCh5APsrwBi9f8RhQcA1wQNu2Ii4l8uNLI8PCzfuweqdh+j3G9eqilqVK9Cvk/az48wVfLr8d9oeuzavh/s6tkBYWBj8RNSvkDksCdhWnQ30NNRqREpEq4YFTOyxDlBFI9UBtjBaaJuS/Tm/XA1oFxMlq0S66hpQSuQKUSDPL8CyP7Zi6fqt1D5+YmBPTFuwgvb5j/XvAbfbfRPgupgQcQbklEiG6wNsGUKenQp/VDyLtPuXpn/V2irMy8eK1z+0tNYDmWgDILPLZWtiHxWSl0IIdiKDhpC7qFascQwByM2AO8vnwUL/ZUTBgXtcpeGimuOqIaOf++GiXHSmifBqcXjuKRRhOrKcFwPZuT4fxq7bjsndbkHF+GhNjY9+VxoTxssvwz345yLHRi0YH6AKqIFthb02N2jRmALyJgJryBUQ5cMla/DLpp0Y81B/tG/WwKRAbnEMhSkPJnjWqEF9LPj2S/S4ZzAefep5zJzxqe7dgg3nLlzEzK+/wYKFCwMUxm8EZBe/VFhL5XmnZBegTEwY/lcTOY8iUms2yPR3wPbfxdyXLl2k4eLlksph7g/zNZAtz9d0Xiafr7JUGTv9cx2Mq0A08Kwtj3FdsG1xnGJuiAaKlLYhxKB0kF18Dj01coJ4w62ugcy16jXERzPn4JF7++LVZ0dh4ocz6NdFCHlxLLYaNu67ASb7yzdfwvA3P0RUyUSTErkhkEaNRa8P60+k4M46/67HtriJGA05m1dxtMhFfXykv2JGFAHLfpuP/s3ANlH8YqCtf4dWmDJ3GXrc2pKXASKK1DzXk1qThsASU8JmQLtCUhKuXLnCnp0i+HXl8iU8NKAfypRNwrRv5yIsPJyy0uKpRkRFoaiwCEQnyxKXin5KLRVnfHR9kE3bkaL2TNsDb1z85WOOFmZMC5BNu1Debij4puJnzEBPKFsBo16bisP7d9OyZkaxLiMn+3qZM5LRpmHjRBBNSXWg3bcN5SpVxjvvvIuhI57A/G+/RAQxiqQKsB9w8mfg82LsQ/3x1pzl+PSp+ylqb1StAua98CB6v/klnvh6OaY/2EMD2MLmIUrDRHk86O0TdqGFU0wFNWQ+UJSDhyJKa9tojjZ/5zw5edj01ifo8uEE/K+mgiIv5ixbi8KQGMQ36CxBNvs/SA9v2e8wkTt3dAI8BblwOSLkGEqBtVQaV/oahawic1ZKMr4d8whKJJbBo5NnICQ0DJ++/Dhe/Phbw2fP8/tFKoIoIUeEysa+8Cw+eu89hBF7iISLF+UDhM3Oz0XypQt4Zsp0JMXHYN5LwxDlcvCwcfbutq9VUTPeM3ILqDZBVJib1zkmImVED4ABbaEerpXrMgNtuc6YUSl8pgBt8TkB2sevZWHy3kN4tlpVVHCFssgJnpYgSsgRhXGvh0cF8eggzY5UgLU6qWOCORsgyRGKkRFJ+CD7PL7MuYRHwkszW5CP9eRYdlMFHVqvm3ZzzMMmhdGI2KHdUBxXlceJEFpcCAMukovRUhUNJWmi6p7x+3LE9bof/6uJRCYU7vuDlYYl3kMBsMmS9//k4qTiuFZLu5g+1kRqWTLBpulSRjYGfbUMSbFRmDO8H6LDyQBg2lcNoyafkXK/NDTcRQH29lOX8fWvm5CSmYN7br8Vc6f2RVhEBE93IlDLeL8Jk12Qm4sla/7AfW99gYZVymN4rw4oGxPNADcB27TdEseyEA8UeNEEolUG2VSLWutf+cuvisBpHar5bw3wKsy0WqFIFSAz4QU1gvbo+cuY+u0iXMvMRu/2rfD5uKcQExVJP+vcuhnuePxlPPrmx/jmjRf0HO9gzLa4GZYh4hbfF65M+TwDAbbsY0n3k3EVjjjitP4/CLR/+3AmMi5eMRnqBoAODr+t3e3q1ooIxVnkoSoiLPbVWfNCvw9LkUz/uttZGiECZCsK5HRv3piK/D4UwY9I2lC4SA0VmzCrjLOXizQ0kmc8Zs0WPNu2MSoSlU21xpyJ0ZZe+4BcbLUcmKKqqymzWrHXuvcmwIulye3rReRJuOM3K9Zh0brNGNanK37++HXYaa6jzoIT1lrzWolwcRVY09xrVS6fzbe2aY2Z0z7E4IdHoHyF8pgw7lUyVNBzI0bOc889h7ffeQcut1sJAbcAPMWC6mLKe1nsS1jtuAg3DZ37X0xFxON+HVT8d8F2cZP5eNnZ2ejfry8VF1mweDFiYkgphOsfxMKODQ6yrdhrBWCbn2fgfuJvHbgWd13aZ6YPtd8I1lb4h+b2YjVpbL9JgVr9PR3YswM2a90WEz/4DKNHDqUq2KNGv6ppDxTHYqvgOxjIJiDs14Xf4bE3PwgA2TI/W84s5Hn7+XS0qhiLkv8jkcCcHb/Dm5FGnZMq0CbsBT1h0veYBn9RxqViqTicuXSVGhx0gOcGFy0HpKoYK98VaubEoZSbk43QiCj6zHKzs/HgwLvpu/DVvIWIjo6h4eLqA924dhU69opG2ahg74naZpSQ3wDYHezbgl0W3l5eopIb2PRzWvPdAE2kW1WZbcY8s5xjsb1UxcooW6kyJjz9KDr37Iu2nbvRsHIaP6CEHVu9X2pUIQ1R97PUK3Y+emuvXqsOnn76aTz8xLP47vNP4SRJrdCfB2G2G9WpgfzCZTh2IRnVS8cBXgdurV8Dn4/sjyEffU8N2rF3tFFoO/Y7EW4ncgo9geAykJhQbqhpDOCAKN/vQ6jNIRX7JdhU3vt93y5A0yeGIrZaJfwvpvk7zqFEy77Iu3qOGttEAJRehmS1VQeMuMDg/X7Gsa1wx8RTAT+1ZJcA2Kz/MMT5RN9UkJeDeeOGw+fzUnX48MhoFOTmICQsnItwGbMBsrkAmt2G96a8hcH33YfK5UpT4TMRLk6Y7LSrl/HAy29j0kN9UL9cInxFhfDm5kqgTd9fVVeGAGxqf/jgy88zmHmuKG7UxDbyquUyQPCMMdqqwjjNySYiZh6Dod54MRmzj5/B+Jq1UIK0EYXJJksPAdkkRYSAbLLkOhkexVlrtjluZqrqCMOQsNL4Mu8SYm1O9AtLoG1asm2cnZZgW3Rz5G8FWBv9HmeyxQ/YgGPZ2agRFSnBmSGeq9dEZuHoduTt3QhP29vhjPvfRHgUHd0GkFx+Mi6QqgqUzWbsNRxGHW0RNk5uugTb5ABBDCwVUKt5yxKAm8LIswsKcd+MJfSZzn/6PsTGs3JRRpk1BbgKQMnDxfN9wKJNe7Dor52oV7Ui1fioVqUiTXGCM4SmNZGoUKojok5eD0Lc4Rh4Vy8MuPN2bNi+Cy9+sQhRYSF4qu9tqFk2nmoV0PZPwDaUvsAEIgMEwVQgrkwyDF0bM1nkgLRtAqKJjFBvjdgLYK5FrjZfciyQkZuLSV8vwoWrqXh9xP2oViHJdH42tG/RCF+/ORqDXpyECmVK442nhlmw2uJcTANAANutOxo0cK3dDwuArYw5/tx0xmqTKOf/S0D76oWLWDF5mj5YcOAbvBPSL1R5tNqSTFUQQWtrV4WoBWsegIQX3491SKX890B7GZCy8KpHW5AHfhObXcdFBhiuzqrUxRZ1s1k+jLH+zrYD6Fq9PJpXKi3F0ITIj9qBGV4wC4EzLYycfFdvMGqBdZl7zWJIFECuqogrf5tCxAs9Pnz7CwPYg7q3x88fvQ4nCY3RZPlN4ScqYDeHi6sg26Je9t1978KZC5fw8msTaLhyn969acuY+fXXaNO2LarXqGGAIAFOFMRiBt5/D2QbwJBMyVkFKB9bXF32f5PNDs7KqFNxwNlvBbZvZGflPJ54fCROnTyJ1Wt+Q1JSueuej5XL60ZBdjCAHRBiXgy4Nn/nOpeofyY8tsq2YO1E+02lHd7IpEbbqGdgdb1k/fbed+HC+bP4cNJ41KzXEB2797wui62CbV8QkH362BEc3rkV9z7zamBoObVLuCiUBrYZCFl9JBn3NSFCI//tRAzn7A2EzfayYBsy+BFDW4TE0VhlEuas9dKGEeDzoWaFMjh+7iJqVK5IDS5Wc5cxIBLcSYPBMBTq1a2DgwcPomnzlvTvZ598HKdPncTin9dQRpsYzeanSFgxGolU7KRG4FjXb7b+lgjPEwO7YCbZs2Jly4zjMh8AA00MZDOAQp+z5K3JOm+NdhuemvAuFn9DIidsSKpQGdeSL8PpcqFRi1vw16+/UKaRsN6VqtfCom8/p9fbb8hjiIiMQnSJGERGRNBavz5i9Iqxm1+bCF9s274jLl68hLETJmHq+Je5Y4SV+KIjsJ/VQx477B6M/2w2vhvzKBPL8dpxd5tGOHslFeN++BUNkhJxR+1KmkEYEeJGDu07lTIzYpL2k87u6s+dne4JTz4qOUL1d4iz2Wp/QJjRP9/4AL2+/QD/9ZRd4MHcreeorktoySQcnvUKKvZ4Au7YMjTaQpw7g1eilRTvWnW4w+AlIJdPLJxYCR83Oxf49lUfjcO1i2fw2EffIzaRlNAj3/WgU7/BMlSchYuzWVW137llI5IvX8bAV8fCXphDVcYJYCJsdn5GGh58+W28/kAv1C8bB19+DleZN0JhpXNNyS0VdpN8hhRoCyBtEjlTGG0NZHsVNlsR1hI1roW42aKT57Dj6jVMql0bTtJUlfx/CrCLfPAQsC0FFPnsZ0KKAmQbDozAsVoJ0rB8iqQNN3JFoY+vCD8WpKCCIwRN3dGG/ax8n848uoX5s4jtx/o4WrpNEJC03zR+6WhWNhqXjNVEsEResRFVKQQpHdT2zd7wM0r0HIL/eiKMbdHRrVxs1yfTTlhJQp6jLUPHhdCc2scX4xg3OxaEU0HLWWb7kEM99dVSnLqahl/HPYIKSYmWdZxlmSpyv5wunExOw+c/r8Hhc5dxz23tsPC91xAWHQO4QhnIpgKfLqZJJGZ64ewflgLlYTXkPYVo17YN2rVqhkNHjuODWQtw9VoaBnZujTtbNqA6UhrbzEtcag1NA5sKSOU/StuH6piW95L122Y2W0ZZyfupAmq79d8CZPMSX0v/3IbpC37Gi0PuQadWjQPFypR7fE+PLjh7JQVj3vscTevXxl1d2xsPMxi4DnLtjNRTtmteWq2lWGwzJl9mChzxSfg/BbR/+2IuVmScQmeU5MHdhrlrnRWhGvUCNFuZ+GxbCByUdVbhuAHjje/tRxaOIxfdbAmItxl1sgWbLSb2nrHG+GdhJoZElmIgm6s2BrLZBtjecPEqzenr26C6VG+kHZXGapOOiz1wS/ECVUlcEUZTG0yAOrhJuc86hFw9jp2qKH7102/4eeMu3N+jI2WwieGlhZyoioEm8KwWeA8A2VafKevPPvUEtu/ajUdHPI46derS0LTly3+iasB+q5BxVdhMBWx/m8nWQU96XhFKRfuosMt/rTR+Q5PVa+EPzngXi7MtGO/Ppk/H4kUL8e2s2ahXr571925oWzBwenMAW//bEFELCsgDthePZjSAq5yvVb6cYIus2sr1JtaHW3sCdIeBoZB///AnsH/3Trz+3OOoWK0mKlSproWGB7DYMOdo6yD7wI6tWPT5+xj+xocWIDs4wBbrey5m4I7apVEi7N/LQ7Kasnf+CU92FhwkPJC2U1bzmtV05vWvBWAmedKkTzEN/NERYcjLy1cAuArG1TFBWff7ERsbi4yMDPrn559Nx4+LF2HG17NQq25dei/05sReoIGPjII7ItoAZPKhmvsY3UGotimtSYgIPP4Rs4MVg1hhjq1YbdJG6HtNw8dZ/jLNzZY5mxw98lVnaDgGjniW/ubuzX/i7LHDdFyt3bQVcnJzkVi+MspVroLokgno9/AoenKRkTHY9ucarFkyH7XqN8Qjz46Bj5Sq5G1XnKdk2Ow2DBw0GONeHoPvf/wJA3vfYRhx5CyI8ej0UMdIxTKlsHr7AXRtXAuwe6gz9ume7bDjxHmM+u5nrH7mXlSOIawbG8+IonBafiG/Z2o+npiD2xLq8yBh47VdEUaouPyMM5IiZQPAoSUr0WHiJUSXK4P/clp54DJyPV56/xxuN6rc9RxOLnkPVe95FXZioFtaRsFRHHkaiS17wxHCv6uOfeZwcaV/271iLg7/uRJ3j30fZarUlIe9cPwoylWuZsFkcwFZuw1FuTl4+62J+GHeHDh8HthIqbeifPgL8yiofnziRxje41Y0qZAIX242VVNmyvKFHDApjLYCtCkpwcOnBZvPyh8p5bg00TMdaOv7CQV6HWgXFHrw/r6jCLXZ8Qpx9BNQLUrG8ZBxj4eAbMJk82oDVESRMdkq0DaDbKtxWhBxTOBMd5tQ4GwDOrhK4LQ3H9/mXkFpewiSCAuquFs0VptHt4ioBYPBFmdgoHPyewcyszC4ekWl6o1JG8jEapNl4fF98GanwxH53+Zqe84cYGCTs9n02VPwR0A3Dxfn0Q+GGJoCAosdrA02OrDklZJmabdj2sqNWLzlAGY9MwgNqlcMqLcsbHdi85IUo+Vb9+GHdVsRGxON4XffgaYN6zHWk5agDAXcIazyBSlVa3fSaIjDx08iNS0DiQklUbpUImKio1ikEU2F8tF3iIhJ2ryhqF2vHj6bWB3p11Ixd/ka9Bv/CZJKxqFV3WpoXbcaKiTGI8TlpliEoh/uOCsoKkJ+oQf5RUUIcbmo5oGb2PncESlZbBlVwgG2EG+g+9GQCR5NYbq/JlxhBboFYZeRm4fRH32LkrExWPbh6wiheViBqa4aYw3g+YcHYfuBoxg69i3UqVEVNauSKCMTo62Ca7owtomoWT08XF3X24j1dmPy52fC7038V3K1/xXVcXKI8bU6Y+PRfTiPPNyKeOmNZd1RcAECo6MwhTkoW8T6SiSjGxKDHuMSCvATrqA+onCrPZ56YonQBAl1EirkTv43LU1htyHf5sWc3GSMjisPl8sBF1Ea56W8iMq4M9QFJ12Sv13wOR14ZOUGzOjbETGR4VQMgZT4osDaqeRoq2JomgKi4llT8hhknrZoKAqIVetiy5efTAH7GN9LycjGjB9/xab9RzGsz23o0/EWOIhSrykUXQ8vV4vNK0z1Df1trpfNtmVm56Bdx85UmbFixYqYPGUKqlarrgEKs1Eg2QZTPe2bDRc3M4tkmRBJSkOE/c+Vxs1TMY60GwZ8wQApmbZs3ozu3briseEj8NbkKTd9LHVrMJD9XwBsdkwdUpvxS7Dbox8nsK2Ic71eW1GP9U+fnZqHnZ2VhaG9b6PvwueLV9EwTZXFNoC1RZ62ArIvnTsLj8eD6JKJmvCZDBenS1aCSgBsCrJleSoSDulH5+ol0eM/zNUmKrIX33kJvowU2k8yjQuy5DMVkSFiMmSdLWkum5OV8BLq4m98t4zmdTWuW5N/ZpT6okrjVIHcKO/Ftrsx6/sFiIyKRkKp0ujevTsefmw4xr35lqY+Tu5DIS/fRcp0ffLWeAx57hUU8L9Z+S7TOjHC+d/k+8SYEs4O8bzVtsKEpYx1IxrOZlIj54JTfN0I4eUq4gEK5LpKuaE0bjiStbZp1UD5SXKCBxlXryArLRUbf12Bh596AWEhIby8kyjxRMZONpYSA/G+ewdi4riXUa9GFQq4bJTdZAynvyAP2elpuOvZN7BkwpMIJUJ3BQSU5SM9PRMdX/+SOuVXPN4fIaR95hfAU1CIhxetw7TOzWnOrFFHW4AiZRaq0DSXloT6Gm397YxzGB5ZlobXinJfTHVcScXgYwt5Zre8+Dg6vPbMf/YukPFg6OwdOJOaS99DKVJW5EFe6kVknTuCuPodlTJfSj8oHxm3pcTDgg/nV3+OSneM5AQBsyvUUl+hLgdCXA6EupjiePrJvVg2/hE0ufM+9Bg5hn3utNOSf7MmPIMhL05AQnw83R7mtCNMLu10Of6l59Dzju64vUM7OIpyYcvPAsicm4kZsxcgKyMdT/ZoB19ODrwUaJMybkxZXgVNahivAYQUkoFcLQ35Fsy0hap40HBxDrLJ9z0MZF/LLcD4XQdwe6lEdCLK4qJEnATZnMXmVQTo+81BdrFAWx1f1FfKeLUk0OZFjyRuENsK4cP7uWdpXvaLkRWoErlU/lcqAIhtIo2RPmOpH6SL9focwJj9B/Fh68as33VzEV+3k/XBdMlLT8ltLroMb90V4S1u/0/fhYJ1s+HLukadcgb4U0KZ1XBxuVQA9vUGaAHk1LalpFES+3fz0dO4/dVpGN6jHaYO66fZzyooPHYxGV//8if2nTyPnre2wMA7OqFEbBwD14S9JkDb6YafLkNw9NQZzF34I3bs3kNt7hrVqyMxIQHJV6/i8pUrSL6SjOrVq6JvrzvRtlULOG1+2LxFdGZVHAjwJpUcyN9FuHj5MjbvOYCNuw/i0tVU5BPHlZdomrDLJdoGIW4XQt1uuN0uGk2ZmZNLwTfpY5rVroouLRqiVZ1qDEArWgkMXBsRZGJdtV8D01Ut9KE4fli34wAmf7MQrw0fhDaN6wVE1kJltcWzUgBxVk4uWt/9MBwOBzYumomI8DALVtoA25qwmZn5DhYirrST65na9qh4OKIT8H+C0T68dgMuHz1J86dz4cUWpKMlSmhhM8LIVsPK2XYdhAvgbOarZadm+p74biH8+A0pSEQIWgWokyseReFl5I6qDQWZ6BAWw4wUmpdthIjrYmgkZMSOBUdPo3ftyogmNfMouCbbCZstmG2F0VaANmuYRkiLpTdIETTQS3EpogOWbLbxEhw6fQGfLFqJlPQsPNavG1559D6W26iy4maWXM3Fpg3TOKYMBw9gtc1MtgLQ5b42REVH4/u5c9DyljaIjo6mIDsoI2QFoG8aZOvGifmz1JxClI4KDcqM/NOJlqi4HlJWftrc9uXGGwDbAYw3P1hmZiaGDR2CZs2b44033yweGPJ/An/y+iBbqq0qn/0TBtv8nAPui/KH1e1Rw9ADgLQZiJscPeL7VkaT9U27gYkDZQGeQyMiMXH6t3i4dxcK6J55fWqxLLY5R5uA5yVffYqUyxfwwEsTg4eLcwCplvUiA7Ngs0VI6YZTqehWq9R/VmN+67JF2Pjbn7irfjXFMDJF5Nh9sNu9LByS5G37HaZQNsDlcKDwBlMxjMkPl8uFtLR0vDT2ZTRt1hzjXn/juu/uqWNHJMgRgMcf4AARs9lxE6T9aOJnKptthI6bWW2igU5YD0ZWsxxNMZNnSC10zmSL20qvWiUALCJRrBqvBP8AIuMTUSKhFMqdPIbxz4zEGx99TqtWMIeAn4N4tr/L4cInn3yKh4cNw5J5sxDuIuJohM0mxrObMjaR0dF4vP8deG/hSowd0E2OadHhYfhuRD90mjgTE37egEl33CJDIgP6NOOCrvPE2UzBEKl1Cxs8ynbt3VJANlnf+c18tBs7ioKP/2LacyEDl7IKKPj1qw/P5URYXFlc3bkKp5e9j0p3Psmc1rRTlona/DmqIcDAtb3r4I6K02OUi5kKc7Ox5qOxKFW9Pjo89KwRlkwP6kduVgZiSsTJEm8E3FFSgjpXbNi1ZRMN4+7Svi1sXgIE8gEigFaYh4sXLuCnP7Zg0dhh8OXlwpuXB09uvlbGTdTQZkDbMOD1WsAGKSFYTMqCa2Jn1iw2EztjTgzJant82Jeajo8PHceTVauiamiYDrK5w4aAbLIkoJo63hQ2++8AbTKJpitKdomQfPIOUwcafz9JNZyHQsvivdyzWJR3FfeFl5KMNukHyHfJ71G+X4YRGyHjVkzuwexs1CkRrThg7MHZbCHiyz8rPLIDYc26/Ou1hMXkS70Af342PT4DSgz4URFMpuxGQ8iZsKLQf9BTQ4oD2uacZSFCrIp1kfrZD30wF81rVsakRwYwx62iG3D6SipWbtmL1dv2oUxCHB6+qxsm168NuwDVJPKA5mGTdTe8cGDhipWYM38xypcvj/733IPRL49j5BNtH0ZEAzmtY0eO4KflS/HWux/gnn598cCAu+EmwnW0zGUh4HXDRoC2twhJFUPRr1w59OveWWGgDfuLXbPRBgxbyw9PkQc7DhzBqo07MOHL+ejbsSUe6Naest40ZF+y3ILRZveZjsHqVBzAttmRmpWDcTPmwulwYPF7ryIyMkK59w5TSqpSZ9sElAleWDBtKlre9SBenPIxPnljTHBgHQCyzevKPRH6B3pDUe6Z1eSHLzcD9ihSgtD2/x9or5/2nTzV+ojGPmTgT1xDW8SxzsEixFus6wE1KsBWPzHguLFkkzjqJqShAD70BGGyrW+Kzdz5ETGUomzcFV3SyMc2gW11vcDvx+qTF/DdAMZKEeBNWRkVcAuwLTsvCxVx2QHoXiIrZloP51YE0sjZ8+8T7+uyP7Zhzuo/Ua5USTwxsBfqVK0YNJzcyOk2OiD9BWD7moXODNDNQXgAsA50BJAlUfKtUqUKtmzZgjVr1qBT584mgK2AaPG3BuoslMQDQjkDQ4CtADgBHSSEPDbcjf9KBK3YSbEZLboD4y25EcMyiBL5y2PH4Nq1a1jxy0oKNq5zOhZGQhCQrc7aoKew0TcIsNVjCqZZ/SwQIASCacuzNgFsXb3eOB9meOuOGXNb/DcmqaDPz6d81eoY/uJr+GD8i7ilczc0adshOIutAAMPAYGHDyIkPAL3v/jmjYeLU1bbANnqnJZbhJ3n09G8QqBj8t+Yypw7hn2XUnE+IwejbmkgBxt9TOTgkixJn0lyuUl/xJkNMuCXiovBpZRrvHyNmFTvtdXLYkNy8lX8tn49fReWrfiFpszIkHE+q+0v9eoVNGrZhrUNOnNHjOg/AqJuDACuOQS1BsDOxUdYCz9jsMxgWxhiIlcbEmQbsJOV8uJXSkXkDLBNz0dsIgaq6ee1909DsWLB870JuCIMsM+GVrf3RsNWbXH8+DFUqFgB0eHhsHP4L7GvHYhPLIVRTzyB8W+9jSnjx7LcRBI67iBhoV76PHt1aotvlq+lyr5liAAfr2pRMykR4+/qgNE/rMHtNSqgbblS9MDhLifN0yYhvgJUWk5q5oC4Rr8fFz0FKOMIsRgzTGHkyv3JunwVh35chXr978R/Ma06dEUpL8nuI32gZHI7UfH2h5F79Rw8uelIO7wZ8Y2IjUEUo5WT56UPjPfHjzJt+mvRksWNHdvnfoCCrAzc/cZXcNLoNr181xNTZ1DFeadSr13MhHX78N2p+OqLGbD7SCkvEjJewKIXCvIw6Yu5ePm+HpSN8+Xnw5ufD08+qQ1cBC8RLiv0KOWKCKiStK4i0iXKMbGoPTnGUOBsAtaCxeYAnDLXPjVknNVUX3zqPDYnp2JSnTqIIC2Y5mArTHYRDxcnM2GxObAuVIE2F9ejgmjC8anYFMWNF/SSFGLHroBsdb2kzYWeISWxqOAqGhRFop4rwnCABaSWcJGhAJAtzDcbNqdeQ/syCTJkXEQ7iBBxlpttAtwiIrMwF54zh+CqbJ1u9k8n74UjNDebVpigYUCc0ebS6hJY85xt+ZLz9nBd00g4cEzRmWoJqrGfLcK1rBysevcluMMj6LnsPHYGS//agZ1HTqFC6QR0b9sc3/XtgaioKB4azoC1EDoj0VMFHj/mzF+K7xcvxZ09emDW7NkIDY+kYzFpL1JvRYT/c0dL5Zq18XStOnji2efxw5zZuLP/fRg08B7cd3cfOEmErI/8BmG5Cej2UMBNlzTcnLHPRjRwIBshnNUuhxOtGtdHy0Z14Skswg+rfsddL72Njk3r4ZHeXRAbGc4U32kouerQMLVomzXALvR68cWPq/DzX9sx7rFBaNWwtgWh59AEmXWgrbDUfL12jWqYMuZpPDFuMnp17Yzb2re+DrBWWoUQQLNqE4Ebi+8w6YDhgz8/C7Ywop/w96d/nKyaduEy9ixbo22rjxiURSjW4CotyUUmLpMS5CiBo7/ZfCJMeag8XcWTA+AscnEY2WiNWEQjOLAQoXiiHuQJTx5qucJpSByrmR0kL5vP8w6dwqBGNaiImAqqVZBNhdGcIjSSh0M6zCGRbhkWSbdR+X9eAoB+x9gmSgOI4zAVQ7bfkfPJGPPZPPR58W2kZOVg1oTn8MmYx1GnehX+PXEc8R2xTTkWUT2VAgZsSZUf+brwRunMdqDaOPtcOAEM0E26g+dfGI3vZs9Bx46dMGrkCMoyqYBNB2Am0K0hsustjRHPCmSL37iaXYD/YqLhvbyEkdV0g8TMDU9GCKox/7pqFb75+mu8NXkyKleqpH12Y8RHcJBtvucBIDvAeRL4LEUNWwEgGXunABbx3EzHEYJgbNBSjqWUPDKWgaVtZHkrNZSah2MLNVltu2nffzKrxyfrPQY+iCa33Iq3xz6DzIyMgFJcav1bsv+Jwwcw5cmHULpydXTq/yAPJTeHixOQzYxFOsvfNkC2em1iXnv0Kv6LqehaCrK3b8HoZnVg9/sxad12eEgYKc3XJPmVzPimRrjMuyTMtpi5AebzoXxCLM4lp2ishkR7mttKb+UbNm3CqlWrMXHSJFSoVEmx1XTHnWh/ZL334GGKgJRwlAQCbiPnV/Qv6ndMbVhlv80ROhb7aQJeah104VCRThXWBoRoE9ENYSHw6ixC3n005J0sC5S/5Wc+ESLPQAb5LCwmHhcvnMdrTz6GvMIig+mTbZsYkzbcdns3XEtPx5ZdewE7D+OnYxszSkmN2fGP3Yc3vltOxy0y7ggG7aFbm+DWGhXw3I+/I6OA5GbbUCk2Cmez80x1Y606L6NDko4QAKe8+VRcSu37LWeNlfRjy4w5/8m7QCpe7L6YwUGrnarBk+g5EvJJHfscCIUnloc7Og4OdyiOz3kVRZnJ8FHmj+3DNGX8yD67DxfXfYOExl1ZtBrP5JWlSS3O4eKejTi6bglaP/AcYkqVkzamGEOWTn8b6cmXJMBmLLadpgiQ9Ltli+ajY8cOSIiNoUCb5ZWSMNd8HDtxCmnpmWhSsQwF2N6CApqb7c0vou+8N7+Q/S3nInjyC+nszWNLT14Bm3P5nFfAvie/y8LPfbzvIACZ9R+sFBcTSWNCZmSZlluA13cewJWcPEyoXQvhxIFkGS7OlMXpe6MCbAVkm9ntQr6tsJg52Hd1lpwx5AKUtXBEo4YjDHPyriCblDdTSj+KShVms0eNcFBzsQ9lZqFuXIxSP1uvbmNms4WYr9AbKjq+8z95F/wFufBfu8D7AGafstQfwy6Vtim3idnsus7MaliTfGkxE2EymztEzgwsh2D1riOYufJPTBkxCNfyCjHmi4W488V38ONfu9C7Uxv89Mkb+Oz159H79s6Iik8AwqKA0Ej4Q9jsC4lEnt+BabPmo+d9D8Fnd2HBggUY9uhw2EPCke/x67PXx9fJkq2T1CSy3WdzYsDgB/DDwkXIzM2jgHvJqrXwucLgd4fD747gy3DAHcbnUCa6xq+RqpvzPHFozgDRB7N75AoNxaCeXfHzp2+gQc2qGDrxUzzz0bfYf+qCxBoCk9B1bVb6bYcTPtjx4x/b0OvZSTTn/KdPJqBV47r685PP06FhCV0DSuAOof1E8IcDj94/AJ3btsKjL72O9Mwc5buBAs2C5PMHJfsUYG8iAYu1iDk49+UwnZf/r4z2nzPmUI+iEfDFTq4aIhAGB1bjKtoiFjEQDKLI2hb7Gn+Jz81/ky2XkY8ECKEIY08PfPgD11AeoaglFcmtJ3JUBgOZkuZfhRm4JypBEUETtbMD53y/H3+du4JZbRoGMtgSZLO8Q1GHWoSpGIrhao6CwsgEU/PTvsf2TU7LwKLft2Ll5l2oUDoRQ3p2xuSna2glvQJzulXWXA0NN4WJGy5Ra9ZaqI7LRhsohMaYcOOz72Z9h+bNm6NW7dr4ZNp0tGrRDK++8jI++PjTACYaVuz09djsoEZUcCCfVeBBXpGX5p/9mxPJmy228QWuFrfbdSdtsCX5LdnZGDXqcdx2220YMuShYn+jOMY2GMg23391H7FfcfnOGhNYzG9YMdc3tL/yW2r5FbV8lgT4yrlo16Z8Jo5bTJTaDU0BkRs2G55+831aN/PzKa/jyQnvKmrjutL4hTOnsHDGBxj26lQ6aBmgHIHh4r7g4eJWIJvMB69k4Xx6HsqV+Hd1C1JWroAnrxAOtwPD6lTBguNn8crqzXija6sAV6gwEqmDz0sAmBcgjCgvGVWlbCJ+2rTHaFHSq60Abm3dhuycHKz+dQ06deqIB4cMke2BPg9lKYAuuYcfv/EKHh8/lYmhmZw1RjvSw8l1VssA1MrVGeGeQZhtv8JqC+aD/kWjh5mDmtwKes6EdRa3gERZEtKHh3WLWuFa2+P/WEVqGLeOj8Y2Vr/b4WOq42Sq27IdVS7f8PtadOhyOxw8fFzkjhPCiYz+E954Ew8PG4qf5s+B3UHYEf78SISCq4iW+yrweHE6OR2VSOUHrmVC8ok/uPc2tJ/8HSau2Yq3urZC5RJROJOZg5rRUaLARrE9o9a/kJq43kI0cUXpY4n6vEzOP7F++s+tuHLwKErVqYF/c1p/PIWCahe1tsiDZIQBczGSdSLUSsSxiNiVC6WadUVC407w++04v+Zr5Fw6Tt/90q36IT/1HHKTT6N85yHyvqimhBB4VQkcT34utn49CUkNbkHtzneZnj1jbc4c3oeyFcdwZXGSi28w2na/F9/P+Q4/LloIh98Lu48zbUUF8BUV4O1vF2DMwO7wFeTDR0B2foEGkCkwVnO0zR2qEu2nhZDzz+i9omy1yLvmIeJqfWzOYJO/96SkY/rRE3ikciXUi4ziQJyBa1kf2xQuTpxUAmQHAGUTKJY5/8Uw2oK5DGSzBcvNyvMRO5S80yL/ur87Ee/mncPi/Kt4ILw0JSqIVhjti3hOqcXtkw+T3LeUwkLEh7jpu6VFCYhysuZStGRWRH1p+dprF6jqsj265L/6LngvHWcMJ2XoWeUIympTQUyuMm6lhM2nYGOxvAfCflXLxyn2a05BIUa8/y1qVUzCgvVbqdr4vXd2wuSaVTnw56QYYdwJCSV1P5jzkKzPX/oLvvpuDh544AEs/nEp3Ye0hwLF+Smiy1SHLA1C5f2s3cfSM8hp0vx7VyiGPDwc9w66H1/M+Ay9B96Pia+/hvq1qrPcbTETJxcXUTMGBWVEM6uL09BwUied1SYn95rkP9/RoTW639oSuw4exawVv+HAybPo2KQeOjarh4bVK8JFwHZAg7YhOy8fc1f9iSXrNqFzy8ZY8sE4WkYzMCU1MFoXZuxB2wBPqVUj1GiUhw2fv/MGGne5Cy++9T5mTJ0gx1K9HrY8QaUhBLSOv9laWfoOEXokKvn/pNTXPwLa3qIibPjyB4uwcDYlIRTRcNKyXOUQinog9Uyvr0GuTzZ44cUBZOF2KoSmh5nvRAby4UM7KsCmf99sg6mdHlEwz/J5UcYVwrzKks3WmW3WCdmx8tQF9KlTBU7aIfGOiYaPM2+g7KSI902ptWcZvq2p7hmdglXoOFm/mp6FZX9uxy+bdlJxmv63tcWCKWMQGhaq51qbQ8OV48rfVD05KjDWADa7W0xZ3ApQG/sHVR+HDWfOncPCRYuwaPES+nRLxJZAiRKx+O7bb/DAQ8PQqHHjgFBM2hJkSKdhQeng2WqpAKJiQLb4Din1VTHu3yv1RWu3ktAe0fCCtmbridT2PX36NA4fPozU1FRkZWXRmXicQ0NDERISgpIlSyIxMRGlSpWieUBhYTo4envqVBom++FHH1HnUcA5yn+KDxkP+EA1JJTPAgDL9cLELQyT4gB28eDaGqybn3NACS0lV9MSWJty75RfKt47EWQKdm7h0SUQGR2DVQvnoGv/wahat6F2rqePHcSSLz+hquKjpkxnbD3PrdZKfqkh417rcPFgIFvka68+nIyhrSri35qIIvCVn1fAVyjC3PzoX7UCFpw4h0m/bcMrnVto+xulD0mfxZSpKUDjgLtK6ZI4fv4SPa6DeOjNjYzBUu3tmvzO+ygsLMTHH33E+qWAyAo1UgJUqK6wsAARUTGU8VXvsxH+b+wvmWfRZpQQQb0B+APANjigFWCbKghzZp3VzDVyWFlGLwPgAqOR562FjMsxTik7oDm3jDYt3hdtbFTE0GgNZuLwoH8TRVygfc/+yLhyAefPn0fFCuXZ8GRjIMFrI2JjQGx8SbRp0wa/rFmHHl3aAz5mpMJRJJmSob26YM7azXh5QFdWP5qHFMZGhCMmLATf7z6K+xpUR5W4GKw7fg4oX9ooY1NM+LhxoWxO93kQQ5gR027arETHqKzh5s9mo/dHxKj7dybyjm0+cw1uqhIsJvYg2WURVovcR55NwJ+rzeai51jh9qHsPIkT12ZHdNUGWvkntlTYbAVwE2cIWT+y4hsUZmeg9bAxxrMWEX52GwrzsnHbgCFUC0Goi1OQzdfX/7oaXW+7jQqkkVJeTLSJKSXnZGYgOTUNNUrF0uoCrJQXCRdnAJuxz1whXIJli45UhpArFVqUWsBScZoDbVbGSyndxUPGl5+9iD+TUzC5Xh1K9EiW28R4a+J5QvhMKIyrEU6cbVb/FqJ65JQ88OMC8nER+XSdlN0jTzbR70ZphKAEnJzc4SH6PGScvDsGwBBvpB8hNgfCbHZsKspEO08JVCPMJq+YI99hLXhHAGyD0V5/JQUdyxC1ZE4gSYDNALcMH1dYbEoecXtWAE3Pqb1wN+z0r70L9Nkln5apiiwnm4FsIYRGaqkbpaf4FSvNResG1D+kPR1cSPj05VQ8OOETXLmWjhce7Ivh/e+EkzDdNLqGM66UzRV9F1+3u+BzuHDi7AW8NP5NNGnSFIuX/EgjT1g0ERfXlA5vpea6YqOK/lY4Kpl4JRm/mdgdcW66wiPx5HMv4N5Bg/HKmJdQoXw5jH3+aUSQygKkv/SRFAyigeFlgJreH2m8sHeEuGeE4BmZ6b3g+/Pyaez+e9G4bi00rlODhpX/sWMvVmzchUnfLIbX50VUeBjioqMQGR6Kc1dSkJ2bT/FPvy5tsZSriesknoXQsonMgwawTYSjsiTtnVQNKVEiGjPnLcIj9w9E04b1lX0CWkPxYeB/u9GyB0dytR0xif9/gPbuJauQcSlZDPGmS2RbSB3rbkjAIWRjJa6iBUogXrLbUL5rvnmcAYAffyINjSgnrke6p8ODvchEY8TQ/JttSEdJuFEd4Rq4Js9FeI+oOqvNhh1FmWgRGkUbO+mIAllsJYzc4cDKkxcw/a4ORs1BDq4Fo81AtmCz+YtLxdD0/ASz6JmeS2IA5dSMbBqa8fPGHYgIC6Wqu7PeeA6REeEW4F1nqDWAbdXQrwuwrdhuk2dKvCyWJb5sKPR4MGrUE3j/gw/p/WNCo3aUKVsW6elpGPPCc/hp9Rr2Ut4Is20BjIIBPAHEECwknYSP5+RTFu/fEoIiQFmNar3eRISXdu7ciZUrV2LHjh3Uy1i5cmXUqFEDCQkJFEhHRkYyhc6CAuTm5lIATva9fPkyzp07h/z8fPo52T8uLg6ffPIJRo4ciaSkJLz5xhto0KABevXuLX+TDuXXo7OLmdi9tWbMAraZ2CI2AFg/42AMtuFwMYFr3QdjHEsN6VUYbCOXVgFJMnTXnOsf6Cyw+v2bvXEBDh8AcYmlkZ2ZgRkTX8HEWT/Sd8fr9+Honp1YPX8WBj7zCn2nRF6gZFnNudmmUPfrgWw1bJ4A7fXHr+LepuX+tQiP1PXrkX/pCmWz4XdIEHp31fL4bP9xfLFlPx5pyfP/aPfCADbppBnrwnJ7KatNKAKHD81rVcX2g8fRkiiZirBymr9n/nUbjp44iQ8+mYYWLZojqVx5THrzTdRt0BBd7yD1y/XUAxUwD3lmjKJKrYZw6/deZbutwsJNpxMUbAuBNAHOaa8qy4HpIFssRVovY7MZy0Wz0mzBnFLmkonGaWmgjAMv9i6QHyFAzc4F0PzIzS/A51Nfx+TpX9PtJGfXS8uNsXtFvv/wI49g2NCh6H5bJ9gpkPYooYQutGvaAJNmLoDf1o0bt2ysIsxbmZgIpOfl47U1W/FV7/b4KiPLyOMV56x6zYuZiAM9yuagebTyXliAbTPIJus75vyIbpNeRAgR8/kXpv2XM5Hn8ZmANmO1xP0ngI88eBIszEre8brBtD2xXGW7y6U1dY0EourKJlaYmhc25Cafw7HVc1Gv11BExpfCtvnTUbZabTS49XZp8O/ZsBZd+tyjgGwWMu4kudl2G+bPm4sP3p1KjXzJrHmK4PcUYvnvm2itXz/5mwNrszK4UQ/bAMb0efBGqacHqFVa+N/qmE7eP14TWx6P6q4U4O0DR1ExLAxv1KkNGwfeZpAt/vZ6GMCWYFoF2FL4zABQWo42ERz1e6i9SVIaSZokEQJ2wwbC1RKwnYxC7EMW0lCEKv5w1PZHws3zRw37xADZommTexINB/Lgxfz8ZIx2lKfvh9Wkvr/qvOVaGiZXK28hfKbUzDaBbAaw+TqfvRePIb9aCyri+W9MvrSLtO1Q21iU26XiZ4YQGhXkokJo1oy26Q4o3ibV/jXsa1LyikR/zv31T/qe7DhyEi8/PBAjBvbBxC+/R8M6NdDntvYcUDsUBtspq1iQdJr3Pp6BbTt3482JE1GxclV4bXYa/q3VWVdBt9eHM6dPIbFsOfy+cjky09PRpFUbVKleU1aRcBJWmwBsOb6QdfZ3fGJpzPhqJn5d+QvuGng/Hhk6BP169YCDnCeJICaAm0YNiftEYh+MdRotQEulEVDNwTYH3syZQUqokZJqTPXdFWpHp9bN0Kl1U+nQIn1+akYmsnLyUL5UAqKjeJ9oKaqsknpm/GHTwrclyFaxBwfXKuC2O1xIKl0K6RmZePrViVi/7AeqLSAbv1V7uKHJoj1ZGbLKmO3Ly2KiaDS//H8MtLfOXmIR/G02xNmntRGFCgjDDmRQ0bKaiEA56nNUeWjRBbFt2fBgK9KRADdlxI1PyWSjAmgRcKARopEJLw0vJ55FCbR5J22Ei4sSCcCOwiw8FZPEPEuU0daFz9T1k1nZKBcTifBQtx5mYxJCk0aFVNkjL66yfp2w8GuZ2Vj21w78vHEn3C4n+nRohe/efB6R4eFG41UVyLXwGLWRmhhsLdT7RgA2v2tqSHkx4eFmIE4+e2vyJDzwwIOoVLmyNETDwsPx8+o1+OvPP9Hnzu6YP28e7rlvUBAgZgAg382A7GLYbpWlJP0PyZ1LiPz74SDXq52tvvY5OTnYvHkztm3bhr1791Lg3KhRI1p2aOyYMRRo/52J3JPk5GTcM2AAYmJiKAve4447cPDgQcqEk7Ce1q1bIyKSDZb/AGcH/aIA4GYQrZykdu/F5xK4B2Gt1eenHtMKbBcfIu6/LrttnFPguaq/8U8mtV26QsMwcdZS7N+2Ea8N649fF89DQX4ezhw9RMPEH63XmJ4nVbmlTLaeuxuQs3uD4eLqNlEyrLDQhy2nr6FD9X9exoJMl3/6hZZmEjaAQ7ltw+tWxetb9mH14dPoWqsS7Uu8XBWW9GN+okDu9NAQcspqE9Dt86Jbi/o0oqdFwzqGp17WbtYHxhdefg3RUVF4+sknceLESWzatBG/r1+P2+64U2GehV4AA81zP/8U9458jrJahjK7zmJrIJsrIqvh5Mx5E3ywtgojtytgm4SUUwDGv0nAtRg/BdgmRryIGBRMtvAVWvV1ugPAODeVxRZ1k4mQGh0H+G4CZNttPpSuWAVlKlbG3t070bhJU3jsfjh8gtVmw010TCzq16+Pbbv2oiV5TlTvg42LJDeb5Go3q10Nu09dQKNyiTKcNSI0BMtH9cefB0+h/9c/Ye3JC8gu1NNwDPtLosugE70KzrTLbabwca0PUGpq52VmY9+Pq9BscF/8G9Oei5m0fFZgoKMBtKnThQBHcu9JuxLPVkR/8osK1rSoUaqZEkZZuAPzP0JYbALq9LgfWVfO4/LhXbh0YBsatSdA24b8zDQc3Lwet/cdIME1Y7IZ2CaOQLJfYnw8bL4CJsjkEYx2EX76cys+eKQv/EUEeBcZZbe47gIry6UAY74unolgjCSoDrJUXx0VsJP7RdIMJu07jJHVKqN2RJQE4nJWmGwKssnfqnaGOqvA27yNhwSnoBAbkUbFfmN5Igx7Sw1LmGgFkfRJ8lSPI4eWnW3hL0GjPBnANL7F/G7M6iVCdCPCyuGMLx/T8y9gc1EmbnWUkLtLOkq11RSGO8NThFAHKcfmlJGaNEJTzc2WedlM0JeK+ipgm5FFTmw9dAK2wp9wa++B/8q78Pm0T9GtUTUkJcTSB2njCuOMYRUh43YNYJv7LfMLINNKlBeA6E78vvMgFv62CVfSMtDtlqb4/NWn8ND4D6hY8AvD7sWJy6n4a89B/LZ9H+7qcTsPE2fstZ87BgnITsnIwpDHRuHeewfiqedfgo8IgJG24CVthDhqWFsRgJssDx84gA/ffAVJlati6DNjUSKxLD3Wvj27UeS3YeXCuXjk6RcQGREBp5850gmrLXU3SNQSESW029Cl2x1o37ETpn3yMQY/PBzTP/wAMVFhABkfRR1uPhayKACfvo3cVyo+qI6Z7H4LcCzF0Hj4Pn02Dj8iXS5ERgkni9KDFRsiHozBtllG01IsYQLcwnkSHhGJ35cvwB8bt+K2fvdh9sJleGBAP45fTOd0w5OOVulReARZ4K76mE2V8sOj/7dAuzA3D8fX/CUFUOl5sdNWz1Tmm5HtkXDSGtv58OIosinLTZkduEA0TR08nIp0ZJnwUBjeENGcAVd98cAl5OMs8tAFJWlwTjRsqIlIlOAdn2S05aDDc8p43ULSQCLJ4C/CxqUYmpGrTTshhwPLj51D37pVZLiN8AZaeQoZsDYx23wOVBm34cCp81i9ZQ/+2nMIoSFu9O7QCl+PfwZRVB4/iKfOyouk7XuzIeKm0A3LEA8VZFvlehvzgQMHcfz4cbzy6jiF0eStwGZDm3bt0LN3H7z91kT06defistZgWTNuAhAWcpBFRAj/ioOZAswlZZX9K8AbWa4GXUN6TbCWO/ahV9++YWy0AT0tmrVCh07dsSTTz6J8PAwiwiQ6/1Q4CZyjGPHjmHr1q2Y/d136Ne3Lx3c586dSx0yR44coUx3s2bN8PTTTyMyKoqHiCr+dFlFhm8JisYNX7z+HMz3w/go4JmaQLb2WAMYbXO+tLkZ6M9WsoxKvrNVTXZVzdu6nZidhYHN76Ym/mXNecDPtVrDZmjcrhPmfTQZ9z3zCoaMfUsD1eacbAGO6YCssNceVTTrBkC2+J4Q29p6Ju1fAdqkrE/KX1tgJ3yivGDjc9LWxraoi1HrtqNWQglUTIiVxp/PQRhQO2xFpH/zMOPP64Df60TT6hUwee5PRnkTK7aD6G5s2oqVv66lbHaHjh0RFhGF+wY/gEpVq5mYaeM+7t21A9nZWbQfpI4KRTxPRhNYiJEZzLYh1OcP+uw580xCxumLT3bmOdt0sDdANlknrCaPLeeq4JzZ5CHGHJ/w77AX1hpgWzuO5G+JcZEAZyXchQFwBrSJg5q0ncFPvAgnSeSi94CQIoaBSJwphF3v0+cuLF/6I1o0rk/LghljHzFeHWhYozIOnrmERhVKcwEcoY/iwC1Vy+OO2pXwwaa9qBUXgwKfjwIPsyCaNK5NjLd225VlcYJoauUBcb8O/LT2XwHaxOA/l5EXwGaTiebUe4Wdwp8FFUcSIJuXt5KpBSxn3zzJ6AcumEZLc/FSpRkn9iJ5/0bcMnISQkLDEBVREXU69UFihcryuadfu4qEpPIs4k+pw84ejQ0H9+1B02ZNqauHsGOU1aYziTbxIDsnD7HhIfBkZfOSWnroL7Prxboy8xtOnUac3RcXFLCuiuFRLMGOQcA2Kd017egJjKtTCwkulwKy/crMc7TJu83TazRRQXXmYeEyz5ZvE30wYZo34hq6IAFhSoSlThbZlDUbqiMClRCOdUih101IIzbo8r3okMsjWHh+ahVHGBo5I/FTfipuCSHRnEZbF5EdAYy23YZ1ySnoXLaUtGdliDhPeVRL1wqArUVlchEr4nAc/91yLPqs4z9+D+hV+rxoUCERL378LY2YGHH3HWhetzp3OBlsqwTWvG+3XQdoi5twLvkaft95gNrS2fn5uLVxPbzy2CBULMv6mQ27DuKXDdsx751xCIuKQY2YWDzUvxeqV6nMSnVRUozkZRuM9sWraRg6/HFMmjQRtes1pFoURPxRgmqF0SbLA3v3Yt2qFeg3ZDjGffw1XGHh1HlXtX5T+v4KHFK3WWuMfuR+vPX5dxxsC1abpVMb/RPRLbHBGRKGZ54fjR3btqD/YJK7PR7NGjWgWiasBJqRsy3KdfnVv21M20AF4IzlJveObxPh++LeByMV6HsoyEKVvbZeynxqWzFRs+o+5AxMgPvWdm3Rt+cdeOOdDzGgXx+4Sbi/DOm5QYtMdWyZ7TvxXlk4MlWw7SvMhf1/DbSPrvkTvsJCOhASL7sOtlXjgi3FeZOZAegYNOSe/FQUoYBmYrMBj4BrEnJuChrSxtTtSEc8XKgClmdLOqcaXAxNjsMSbKtlFmy0pFdDd4RU+6ShVhJAG/krxAtIvrg3+Rpe6NTMKIlgt6g/yMG1ZLQJu80ZbVWojCxPXbqKuav/woa9h1G/WkV0bdUEjw/shdDQEF1CX2OobYFiahaeo8DGe32AvWzVWqzfuBUTx74g876N75i8T5YvkyiWRkrD+DH25Zcxbdo09tx4AzcDqRfGvIz2rVtg7uxZuP+hYdrrEqA8foPiZ6KdBAN65mOn5xax+pSWYSg3PhHQQqaioiL8/vvvWLZ0Kc6ePYvGjRtTxvqll16Ck+Q9KV4B46W+Gehmve8bb76Bhg0a4K4+vegbRd6FwffdJ9+7x0eOxKpVqzBw4ADcfXd/Kg4l6wJKB4hYZwP+9ULM9ftv5cww9lThkPpcrZwkRjsxRTio37MAFTqAVoGGWsvaKJ+lfiaP7Qc2rv0Fe7dswAPPvgw3yYviJ20+55t9YlruOf/d35Z8jz9XLEaLzndg91/rkJ+XJ0PF/VaCZwIgBgHQ5lDy4CBb306+t/1cGgUGRgmivzel/LkZRVm5LGxcnXhXQthPh82JV1s2wPh1O/AFTcdh/amviIWQC+el3+GlMzHuyfsT6nJSkbMoWq/ZSt3fhglT3kXD+vVQIjoG0dExNJSv/4CBKOTMg6FSb1z/0QP70O+hEeweBTg2AkumiTrkDFPo7LdVJASryiTEzcQ2YnRZg2wJnnkJL5G3zb7L1gVAp+OE5gDTQaN5Xd4pDl5o700AFmWFiN3FfoeQGzv/XIXju7bgvqfGwBkRThWpp4x+HM9PmIrSCSV5mKMIvWZwsWHjxpgwYQJnSogxpirOOlCrSnl8v+I3TQGZjW1sHH6uQ1N0mb4I1WOjcSwjC3UiI2UotBwT1cCrYiat/7+B8UOsH179JzzEtnH/sxKQZ9Jy6aW5uTK4bA8CaCuMtogsUNM+iJEtIidomoGV8SueI8+3ps+ShnzbceynL1GiQg1UatGZhao67KjToSdCXCQlgLWBpKo1Ub1mbQm85bH4ee7bt5eOLSwslRv0tEyXF0WFRfS4NPdaMmoGiFaegl4ej4NlsW9BkRfnc/Pou5cYFooYwsZKwVhxj1QvNgPoay9ewc8XLuGt+nURYbNzllvMDFwY7DcH5wHgWnnnpSNWj3Igf5/w51JiJwtetEYctWHFszRsU3GOAmLLh0SBcieUxK+4Sh1aZYiwr+gMKNBm7zwVTCPjmc2G291xmJp7lor2dg2LVYlrhek3lMbJvCElFZNbNDRE5USIuCCEOKDWytJKoogrRTtd+GDBrxjaowMiCrPos/6nNbX9Wak0ymVO/Vo4feESPluwAhO+/B7Vy5dF19aN0aJONcRHR2imtVEAAQAASURBVJqAtZXnEkjPysG+E2ew+9hp7Dl2GleuZaB8qZK4tWl9fPTSSMTHlTDlZ9sx/rPZaFi7OvrecRur7GN34r6+vWW/RFlsuiT1pV04fyUFw0aMwrvvvotqNWuhyGeTUQ0CYNOZrHv9WPXTj1i7YilGvDoRjvAI2miI1ofqfGWOSxsate2IxrfciszsbEyfMgGjxo5HRBjJxSfOVBZOr1Zpovn5Nj+aNG+Bb2fNxnPPPo2WzZrhiZHDaclFeq3k3eTvIUFkvGYmPZ6NeO7syt/8M9aRGpFhKqNd3LTst7/w+9bdmPT8CISGhgUSfJKgM4WO25TtCrbQsYZo4WoYEzDupRfQuG0nfDNvIR596AFz67pO45ODcJB9Wd8qADfdEhCBRhTz81iJ0b+BF/420D7801oJssUFsFAtHWTzy+Db1HXRGdmQQFloN/PaKpW0xWS+NReQh4soQFckKB2dcUTxmxKPSiE0Npgc9OSib1SCXkNQikUY7DaZ96emo2GZknDwUl4HrqRi8q9b8cKdbdGqZiWjXraQsFfDxx26MNql1AyMmTYbbpcLg3t0xMuP3As72VdpaKJzOHLmPD6avRjPPTQAVSokKTkRVuHdgX9rhd2v402a9vUcek77jxxDs8YNLYQK1HBxC3ab70M+//TTT9G7d2+UKZukgSv5HLnBV7NWbcpmf/jOVPS/dxAFNQGGkTpWBywDO2ENrFuwOWZASBTrM/6FmtrfzZqF+fPn0/V27drhueeeo/nWAYz130Fq1/nu77+vxx9//IkFP3zPHAbiYhWyh2zu3u12Kmjz7vvv4eFhwzBlyhSa2y1ZAvEdBWwHPVu+cf/evZg0YTyeGf0imjQzBK7MoFoCaotwcSswLcE5//vksWOY/eV0DBnxJJIqVJTH19SgpVFkEjpTjCYz660CXwHsl8+ZSestnzpyCNXrNZLXYw5xv6mnpxw/LeUq1i9bgCa3dkGpilXx/MffweF04fCubVg282O06tGPiqyYz9dgYKzAMzHOFcb7BphsM0DPzvdi74UMNP2HNbUvrfoNngJP4I2S3QkZ9L1ICgtF+3KJmLPrCB5oXgc2EmoqQHYRqcNM1ok4DWO0SRh5yzpVsXnfYdzWtqWFQWDDur82Yv2GTfhg6mQcPnGC9kdqTXJDTM5QD965ZSNadOiKqJKJtKSVznaZZmWbANvCME8+dRhb536Mxv0eQanqDfTnz/8R4mY3BLjFTfP5lXHMhmvnTmLrj7PQqt9QxJYtz0da/XdYm1MVbwO1BRiTxEAaMaFFcIAIaSa/uW7Bt3C53Dh77DBqNWgMr92P5rd2wcbffkXvewZygMLYGPGeEYM8Ni4W1zIyER8ZxqlRY65RsTyOX7hiAggG6K5RKg696lTG+pMXsCc5DXWio4z9JMg2xjwrm8dw0qn6CybVcbNqvLJ/XkYWjv2+GbW73vqP3oXTaXlwUTZbYWwlUPJr60I5noSksvxt1r7I98g9ZqDUqC1Nv6sAUZXNJiA77egOpBzZiXZPvQOX08FYbrqPEeVHvr33j1/htvnRsXtPJtglSkVxW+nUiRPo37snc/RQkO2Vc2p6OgVHAnyzc/TjwKUUTP51C0Y2rY0GsdEWHg2D7T6amYWRW3fRcwu1O3ApPx/N42LxUZMGGtg2T3vS0rH8/CWUdLuQnl+AMHeorKEt8rYNJXIuoubVyyhas9YmwM237UUWLVVLCKCS1F5VLVzW6nSr1XjWYnLBTplwUonnVn8cjeQUX5WMNgXaDHCXsoegqTMKK/JS0TE0BqHEHSbeAZHXzUWIyPtxtbAQ0W4XwkkdZkEGaYy2PstQcQ1sO3AyOQ07TpzFi0P60Xboz0yBrUSpfwy0Kelks6Fy+SRMfuYRCgqPnbmAVX9tw8I1G3AtI4vuSwgsIsBFUkqKPF7k5OcjL7+Q3yo/YiIiUK9aBTSqWRUD7+iExPi4wLxhYUvbHfhtyy6s37YbSz57G46QMCa2qZSVomHjNM2FhYyT3OtHRj2FDz/8EJWqVoeHMNkw8q9VkJ1bUIgl389Gp153o1mnOygQLyA12fkYcurwAXz/8WT0e+xp1GjYVDqxnA4HQqNLoHGbDpj04tN47f3PFFCuGMxkG2G5KelvQ3RcPGZ+MwtfzJiBp154ER+99w6PXDyJj6d/hmcfH44qFcvxutjkPWWsOBSAzcA8l6XmwJ79kJKnEtTSseGTuUsoXth3/AyaN6yrDu43GAFrt6heZGAgDbvw9Vq16+Cefndh8nsf4f5B99IIUXGTGCgutvUp4TAKq2RxbRJU2yzANnEmFubBFhL+vwHaRMjp6C/rmHKi5tNjA28w34EKoa20xw2QrO9n3pMojZO87UoI075lePuUdclwG9uu+TxIIHX35HM2BnLVO0he1A3nk9G+SpLsuDacvAi304HfD51G6zqkXrVRA06rF6eAb3IdM39ahyW/b8Fbox5Eg5pVAvO1VRBrt2Puz+twNS0TC3/9Ey8+OtgiLMPCC6QBX/5sLAG2Dsrfnzge+w4eRhMCsmmyv/4bem06E7ut/MaZM2exfv16zF+wQD6r4jDycy+Owa0tm+KHubNx/0MP889NIOwm2Gz6fQujUhzXKrSS5Gn/E6BN3gUCrgcMGKB4uqxe/uK9tNaT5jqw/N5bU6aiSZPG6NG9m8kzob6B7LyIqMro55/Hzl27MWTIg3jkkUfRp0+fwF052A74QQHk+Ud//bEeLrcbv69di8bNWgSEh0vAbD6SeinabTGrxLPlT4t/wLXUq1i1bDEeGvWMBqRlqLhmTBvPV99uEq5Sflfk2j4y5k2cOnoQVeo2oAaWdoqWj6D4h0nCFS+cOo7U5MsoXaES5n04Ce163oPE8pWRaCcigSwP8M6Hn8KWAV3wx7IFaNd3sInRDmSzzQy1udTX9WYtV5v/1sZT1/4R0CZlHs+vXM9yMHlcrHRQS4BE2BGisOpFv6oVMHztFvSuXRklaOi4ANle2El+p5PleArBlkZVylMW47Y2LQxkqDiWJr33CZo2aogLly/hnrvv0Wqsi1rjLP+SOS7Onz2Lrz96G+OmfcuUh811oilbQeqSc+EkHnpK/zYx3Of3bYXd6cK53ZuQUE0H2mIyQHYg4LZbsNoidFyCaT+wd+0yZKen4uAfv6D1PY9Y/o4eOm5q73yiGIY7+umSq5mTmufsvtlw9zPjceXkEVSs3UAeq17LNshOuaIBEapUrvTZNapXx4mTpxHXoE6A0CeJ2ioo8rB8fM52C1E0oT7/dNtGWH7oFH46fg731aiojMeiDanDkwHAFQ+Ffj8Ce9JA7Keskz5j37I1/whok/eXhI2TXGci5sdy38m9EjnwfuM5eHlMmGC5iXNFRErYlWgJGjaoX6C4dqFiTMApye08uuJrxFaujQpNb1VCwlUgzeaQ8AiknDpqjLWm7iwiIgK5eXmW11gyJgqpmdnsnMQzdNix8cwlCu5JOdSG8SW0Ws7GzBpf9ahI/NT+Fvx1NYUygARklwxh6VxiqNGHItYXfnXiNCpHROByXj7WXknBoKQkHlLOvijCywX4Z6SdIm6o5OYHtoHAPp3kYx9EFk9NND0DBXbrzLZ4zoaNTJjtjojHOqSihz+R1ign7yB1CBLHIMsokefSPSQeb+acxh8FGegRHsefOTfRtLK0Nvx6MRndkkrz52ALiNC0BWG11drHRFNhzFeLMXnEfby2shP+9CvAPwDa9H7mpEm1cVG+i+Rj16xcATUqldf0NojeDRHiIgCbtKPIsDCEuF0mfQbhaNNVxiUZpbDZE6fPQrP6ddCja2f4aSUgph3BPhfr3Fa3O/HBx5/g/vvvR+Vq1WmouDF+mIXP/Jjx/lQkVaoKuzuUjhUEfAv1cbL/vq1/weFyYdeG9ahavwknmgnLzPr0prd2QXxiKbo/dbbRsl/MAUTHAbpkKUc8y4I6Ih4bMRIT33gdc77/AYMGDMDcBYtwNSUVC5etwOinHieWB39/BJhW2GzCcNOwdP4saKkDjujlmBrcZfThay9g35ETaEZUwLk4GGOldZCt5WXbTIx2sPBy2cBVVptNr7w0Gg1b3IJZ8+bj0WG8fC1lootj4QWKVN9DUz9Kb5TJ3uXvIT0F+VU//AU5pNP83wDtC1t3I/9qKu28zR2JNK4Vp4wxmbshAaitCnOZ7X+2jeRvEzab5Gabx1Q9tCawy1P/JoOSOfeLEbM62N5z5RpGtm0kO6xh7RqjXqUyaEtytqUnXs1FU2toO6hR8eiUGWhWpwaWvf8qHCTsMYhiuCpq9tSDA7D41/W4p0cXJtJgYpcDPUAm8C07pOAAm4FoG2rVrIFatWqavivAtJk55y+MCC7j28gA8eJLL+GtyZOlkyRY2LhYVq1WHd169MTMGdMx6MGhRo6GulNxSF2ZVEbCGhCp+xoGxbXcIlTF35/IbyaVLSv+oAvDr20+ySDbrU8ycF/T1/bs3Ys//vwTs7/9hhviBugwfou/RZLttqFJ40b4cfFiPD/6RVy4cAEjH39c9jOaw8+8NJ3G0EcfQ606ddGiVevgl1CMf8HKaaLdJj4Nfngkfl2xFF173aWD6ABAYThnAj8ToD84yCbPslyV6ihbpZp2POkEUK4hPy8X6SnJiC9VBtvWrUJWehoq1ahLb97vS79H5rVUDHnxDaxdPBuF+fmo26It4suUx+NvTddC3QXILVm+Mhq174rf5n+DVr3upce5EQAdDIibmdnrgXQaNn8yFU+0//tvw4aFP+LK5Sso4SbGKBnA1e6EiJ5xkO3wUsVqIrz0cIPq+HTzfozp1IwqFlOj0OOgoN1OlPx9rCwQ8c7Xq1wW363dzPLN6Daj1ezefwjrN27G7C8/w5ez5mDca68H5FCr4eLESFr783I8MeFt2FyhKKRA2yeNJbIsVNZFiCAF3lxVlt079mxqdx2AEuWqIrEmEbGzfr8DQbaxTj3oJoZbKbksG16Tnvfj6KZfUbtdN/pMrSazM1Ft/8rZ0BBV2pfzd4ka/JI5BY24KF+lOv2eEHojargn9+2E39/MdGz2HTJXqVIFJ06eQnMiiKYZTGyskMaxDB0X4ygbc6skxKJrtfJYf+oij3DUAZrhmFYdOcFYCot7Ywm2DWE0sr53+Vrc88nfL/N1NaeQtjFSJovH5DOxM3H3bURhXIRwc4DtZdscmlghB4gUdCsNgT9DcStE6DixybLOH8PVIzvRdtRbNFxcAHARwSABC2woWbYCPNnpFv0pe6bRMSWQnp4BgERP6HaGw+lkaVNSaIsBt6G3NECNuBg0JfoLxFHmtcPmtVEQQQ1+augbEykb1rl0qQCAqzpV1LFkwdkL6JSYgPYJJfHb5avoFB+v+NyUNi8xgxG2LsYhM7C+nt0QZ3Mh2u9CBDeZheVq6dnRPhWfG3+TY9RCJCWMmvtL0E9UkC2jsvxAosONxq5IrM5LQ7cw4QRVSSG7BNvbrqXh/lqVDVAtoy0F2ObVctSQcVPo+MINu9G0ZmVUJVGUPDLTl5VCo17+9pSfRdMOhNq4cDqJKAiWlmCkLJEazjGhoYhBjMXBzA4bXk5KAdcCzBEgufvQMazfsgPzpr0NGykNqTj42D4cYPNt23btoUTEM8+9QPUnWDSZyVnL2ewcUu7K7UaHnv0YwFaU60XEU+d7HqTpGTUat+DptayFqU7gpMrV8dEbL+OZcZNoSpAgK42INp7DzcUzWQUfP8aMfRn3DhyAxo0aY9Tjo/Dj0iXo36c3E6CkP0WOw8LIafi4UIMg7UakotC+nvVPUuk9GHDlmKp2jeqoVaOGgg/0CFm/2fmBQKbbivmWWEZiF/68+TtFQvh79bwTn874Eg8PG0r7SnmuIhfTbGMzatqI+6IpXH5rkK0Zv8rnst0BvvxcOP5GmvbfAtrHfl4bFGSTJW0cyvkapy2Cw8Wk+xnMANzwExrTfmRSpXEiLqF+Q3ZnNmuwLcZimpOrfMlwnih1KPmAX0T2tdvgdgmvux2hIS50qlsFDqFALsXPeDiKArLzizwYPP4jDL/7DnS9pan+eYBquB4GHl8yDo/c188EnhHoBdI8fLpynw7AzUy0cgMCALoVeA/GZLPt8+bNQ5OmTVGtGgMp8kmqbSCglBLw8PAR6NujG/5cvw7tOnTW9r8RNjv4FMQIVb5IFvkeL7ILPIgM+XtZFAQQBASMWXoEi9kebAoA7vo0fcYMJCWVRe87uzOvpPyeuiosFf5OcRDudrvx4Qfv4/UJb+DlsWPxxhtv0AFYB8TWrLZQaQxxu6kipghTVX/e6tmZTi3QeWJqL6KNxMTGot/gIXS7oShuBr+BrLW5vFdx4Fllx81AXPxNFHhJf7Ri9ueUpa5WrxFuv/chmqtYsmx5xCSUQnh0DPqNeB7RsfH0ft49crQ8B1F7lUwS/Coh4rfePQQfPj4QB7f+hRrN2waAYZlfqIR/CyXsgJBnPvCrwl++ILnawrC7nJGP48nZqJb498q5XNu8E59mXcRzMeVYqo7IZ6LGEAPZFGxTBoaoAHvRMiEO8w6dwuX0LJSNj4GNqxZTRpsLK5GwcQKuS0ZFII0waELQhRpq7DlN+3o2ypUtQxm49re2o+0+QOhIcTQs/X42eg4eCq/NQZk0CaQpCNdBNgkpZwDbANm0VrnS1ohRWqZeKwmKrKZgINuS4RbvHrlEJVLGHRWD+l3vpvupqtr6FKhPEMDS0SGBhTEyxXOuqk5ybiUwYb2K8R6xedXiH3Bbj948zNYW8HnFipXw5++/mV3fcvwIDwtBTr4H4TRsU9EwUcD2Q81qY+Wxc1h95iJuK1PKMpBLZbUEu230I4E3x+zMCxBJ49dArjnl7AWc230A5RuR0Mibn85TNptm3bJeWNi1wi7koeLsmoQwHWG02LtLwvS1agNCB0DrnU1Am4PtE7/NR3hcIio168hAthA44yBb3ioCIEsnwekr5P1coIBeYqlSuHT5EoB6uvErIhRC3LiWlYcSRGCLPD+nAyEhbrSvUQGevAJ48wupzgKNViEsno+z2+pzEYJo5gaqPGcawswf4rorV/FJkwZUPLd3mdIyZFwLg1JmY9i1ft4q2C5uImmSZtgsLFoz3A6E4MYWslYV4fgVKciAh9baNiog8Jxc5bw6hcTinexz2FeUgxbOaOksUdns8wX5KB8ZzmxVlc2WOkIccNNQcaVyjoi8dDqRXViEmSv/wrKpLxr52mT2FsGflwVbWNSNNX7zvci+pry8/P5RpXE9FeLGJhEdYRbiNYCdTQHbn363AOXKlEav7rfz/GsFYAtGm4eQHzh8FOMmvInZs+fQv6nenyltSIDp/IJCrF6+GPcOf8Zw0vKxQxUztTvdqNOSRcYwByxrKyJ9iaRIu0JCceroIRQUEc0DlwGuFWBtbDMYblKp5mNS0nXECPy4eBGGDR3Gx0Uv81vQd40tKZYWjUqMKfw4hvNDUR23UF60JPQk8WZ+Jnq5X/DPrUsCc1zht+HkqZM4dPgIDh06jIuXLlH7mpTOJaHiFSpUQMOGDfHj0mX4dd0f6NqlMzfSeFoLbR6q8aaGxBhXocRN8udhAtlinX6fFd+UYeR+L/xFBbC5bk5E+W+hi5M/r4OT9oOGIqq6FN45OshrnZoqb8bvi2lp/KXfDDLlwUNLJTRFCSbeYpoMwTMT2FZecFIGLNZOwlDE8xfeQaPzEiPRmcxsVI0jHRvv9KVaiOGJF2Hjgs0WwDuvyIsHJnyMUQN7olOLRso+CiDX8q5NYNsSBJtCNOitMjHQTD3Hkp3WPEsW35UeL/m5WWQtMFycTCdOnsQPP/yAhYsW6WOdhEDGkzQjrRatbkHd+g0wc8Y0tOvQ6eYbo7k/MHusxXmogMx0Lqm5hX8faJNSJ1bCTNoAonkb5NZgADpwXzOQB66mpOD7+QtpOI2LtDk6cJkPIjoR4XkU7xLt6mm7Hj/uVcyeMxdDhz6EL7/8Ck4SLgZL/5kJhGs/I8Nrrj9u6uJo17t01QCS7ITyt9lgCrh16rG0dbUdKEaWchAVZJ88tB+z330dQ156A/1GPKfsA9xyR1/tB0XdUTUsUb0WM5stwG7F+s1QtnptrF/wNao0aaOrgwsFcguQrOVwKyBcqmMHYbwNtWwjtJKw2n8XaOdu2oMmrijMzk7GkCgSamhncdoiQsghGG0fZbV9Dhu8RV7cU6MiFu4/gVFtGsJOlYsZsJYzGUgpAPEade+VQf5qWjrmLVmOV194Ft/O/R7vvf8+BYBW4fLEGFr90484duQgbu09gINoPzWW6OzhS2I8kXWPymqzdXYsLnQT0L8UM8mIk0DHl3mdD+/CvFH8+uINNj4L9lP+GzspI/lKJRL4pP62tlF5d8R5CiacgLPkqymBB+BjRtWkMjhxORn1k1hdUjGTkEgKyOx2NC9XCqUjw/DV3uPoKsJhZX1lsVQd5cZPRdgcyPf7aDUSq75Az8s2/23cM8Jq/12gfTo5DQ67U3n/SbvnksLkzaCZFX6T6jgRC/Szudia7dpjkECbLAuz0nF60yo0vOtRqjUhQLZQpuYpvcajtAHzP5qEMZ/MUkreGX1qw0aNsWzRfNx1R1c69kuBVw7EHujeHl+u3oQXet0Ku9sFB62v7WTvMCnPx8XciCo9Yx7JhZP32yjPZRZH05qaaGuUDWcn1aV0ItYmp6BrYqK8EbQGvAAHwq5T2gsjvxhgFzYinQkYkhVpeI40dybT9sX/ptFOCMUR5KA8T1lkP2U1UJrHduONNZ6bDY0RjT3IpPnaari4ea5qD0UFRwh+ybuGFmHR7MjaM7ThYGYWGsXFaiDbXKaWhYqLpcFis9mBKXNX4rmBPeAm+a+yig4PKc++9veBdm46s3nlBnpTed7wdTootbGKvy0r7QQypVevpWPejyvw6rNP0HKaLGTcbuRmkyXftv/gIYwe8zJmzvwa0SVKSA0PI0VGZ6FJGltePhPwM/bTRVeFVaHqRgknF8NKrG2SMa5Vx65wuZxa2qv4kuquNO4h21CqdGk0adIEK35ZiTtJ+iCZSCPm0VBUYJx5Uw2XEL339C3nmFJlsBk7HOiYVTtalYG2yr/WHR8w5WmrgmiFHg9++/13rFjxC06eOoWaNWugdu06aNm6NcqVK0dFUB12O01fOXf2LE6fPo2SJUti2COP4pbWrdGqZUuqP1SzRjXjXeTOCOlZUI27AEBtcoGJ0DIB0vnfss8lt7YgF47/GmhnnD6HtMPHWNkNC5BN/mX5LwxwM6+6ArpVo7dY7x+9LG3PY8ilf5GwG7aXYiRIJz2vnW1qoGJO83kQRzoW6Q1Xw8UV4G0DTqRnoVp8jD64qwO+UptQgGeRn/3cezPx8F23M5AtFMgFMLcJwG3OVzCz0irw1cGt0fBFQzCDdH5XzODYAsDrwmnqC1UcyGbrGVmZeOKJJzFjxgw4SYdsai/SuRSsQdlsGPLIYxj91ChcungBpcok3VR7NABWIIC7USOY5GlXjA3/W/nZflLqJNiJWYHqYCjwOt83trNt8374gXaGD91/L1ODlT2G7r0Tvy66bzlIy+PbMHjQvYiKisSI4cPpc7QThXQJnJV3kBseZhPCMp872KTs5r/OZyrHYB3+KvYNNNDMh5VhhaYPDLCt72vO6d/++yo8OfUzRJWICwDOVo/KcAaoYYl6jW+thBcHg7f0uR+L3nkZqZcvIjK+lKGELdgtVS1cVcm22q4JqOmA26gFLdLj2PqGEyl4oFVF3OyUfvocLh84isbOKJwryMcfeRloH16CxtvZPEyEiQJru48Bbs5qk7llYjy+2n8cw4lH3+2k7JRUDeZh4uT80rNzERPJIpmkk9LuwJwlP9NzJ0z20dPnUDKxFK1XKphsoRZL7g0B0MePHMaQZ18xwLV55gBbBd4iX5uyjZzhkE6gwAHMcmJihfwLNwC2mfaAGFdVU509L3E4NpYFtusbnpSxUm5QF6bDvzD5I61fNzu5iMji1atXTWOUWNpRrXxZnLhwFfXLJcrILilMKkNhHRhQryo+3LwfV/LyUZI4x7W0LgO4S4aPMsQ2xNidyPB7ES8jtwwQHQzMqABWLAnQ7vHqk7jZidTeXbV0EdqT+sPksinGoFrSLFZBsst+XXWcRHxwJ44E2QqrrfZLpsfHn6ENxzb9Qi+mVqc+UvhMZbFlKSjJJ6hhqmplBrZeo1ZtHDx0iLZDFqppiL7C6UL3ti3w2eLVuNK5BRJD3bSWtkM4yijLbJyjlz9bkjbC3m87W/Kbz3LQjb5a9snkdbGLUmFAr/Jl8OyOveiSkMDtMqYYLMA2A9Zkf5O9RiseENuZR2LwdFVmq3LlfP43A+HcSUHDm0Gr3FwDY/91eG3OATW7xcyRnGwiOkMkfDwXXkT7CbNqpF+oEVjkxDuHxuKbnMu46ilEGSLopT58G3A0Kxt9Kpfj9qgA2ybRMyGKJkPGWck98iyPXkzBmSvXcFurxlrOtgDh/tw0Eqty0++CvygfKCow8m/FOdOLu4FOU+vbzMDarG7N7VMKou2Y8yMZF/wYOvheWrZL2N4G2Hag0OPFlzNn4peVq/D1198grmSCLFmol9dUK1L4sWvLRox4ZaJWhULtQ4wz1t894RCTjh4bcGzvLvToP0hiF6MihBJ9wu069VbQ++u34bnnX8Dd/friltatEFcihmIBtrtgdLnehyB5KS/EyBb2KesFWT8iAKjVCKISemaHR2A4uPnZ+JW/j504ga+/nYXdu/egS5cuePyJJ1CtGktT4mds/mVUqlwF7dqzezHq8cfxxptvUuD9+VczcezoUdSvX49W26lTpzZ3FHC2WxuhVJBtrPMIc379Yhw2vdK84/UX5AKRN6dlc9O1XC5u2kFBNmG0ieiG5Uw+o/uQnCHWuVExDmXQVkwGxUw3boZxww3942PIQQWE0dIK5v1YwzTUxQNANv/dVG8RSjo4oy2+aAG2yXw8LRPV4xjQFh214SENzmYvWrcFCXEl0L1tcxI7wr3ATmM/5Xui7rY6E0+bXwlpkSIPqmgD2Yd3GnI/xVsnBB+Y104B9WrYBu+Q5Pc0L5SFR0oF2TYCsrPw4IND8NprryGpXDmT0WKukWwNhMnUo2cfuENCsHShIaJ2s5PZ+DA7sczGlDplFXhoh3nTv+ktoiErlrMoeKPWLqReRBGeo4S/Ws3BPqfbvZg3fyG639YZJWNj+Xaj9IrlcZS6isb5GCN67149aYf3zLPP8tAhdo3qu2N45FV3uoW3Ndj9sogmKHZ/U1SCZbTEdY5jRFUEgnRhfAd+x/jta8lXsPiLD9Bv+LMMZPPvqOq0OnBWBmZZSsbItdaVrPUyU2Su3e52quOwa+1yTZRLhizTEDVlKcS6hIiX3FfJGRNiXoTtVoS86LnL8kHsuo5ezkJ+EXHc3Nx0duN2FBIg6/PjTndJ/J6fjpSiQhZiTdS8i9hMwsJ9ZElnsk5oPB+aJMZh98VUKqTGFIIF2Obedb8fJy4mo3xivInVsGPukuXo3qUj5sxfhBEjRtC+Smf5yTUDeQWF+P7rz3Hv489R0RsWHh4IsAvEXORDfhFbkhJEKvgWImlqXV4ZQh1k1oSX5HqgSr7Rxkxgi4f3GrXA1XdDmQN62utNCvNnJpDM74bPjzmfvid/x+ykIhMJ38/JzWXjs8khTH6gesWyOHL+kpGfzdOnDKDNANmDjWtSQ/Tn0xc0kM1OV2W0lW0AStidSPcVydQxa2AdHHSL6dzO/SjMtRYCK27K9TnQqfcA/PTNpxReE5uI5GqT0nluMjvtVI2c/E23OfU5xOkI3ObiMwnNNn0mjkU0D05t+AXlG7dFeEycKWTcoi/nD7fHkFFa6LgW+uogjJID2Tm5MtSWgi9SIsnpgt0dgtcfGYAnP5tP1ZkdIWQbn8l6iItuI6l2dBnihNPtoOX/AuYQZd3lgJ3MnJVVK8SEOp3okJiAWWfOylZqVqTXhW2ZfUeV2bktatil4m+2TS0Dq4Ih1rZsKAk3LiBfc17rb4r6xgj71Hp0JLZtTUTSKE11zLFyADVzRdKCt3/kZwSMn+SSz+XmoUJ0BA0lVxltcykvrWa2ANt2O175ZinefPQeaq8K8G1T1lGYz+o13+Tkz88OqDwg7VBRnSfYzME+m13aOum/KXh2GDPdxpfkOuYuJuNCJ8STyAdZI5t8xo7158Yt6N3vHoSGRWDhosWIS0hkkVCy7Fsgm03m7OxsjHp1Ig35FiHgWnSYmYyQqR2iffHoEpsNOVmZ+Pq9idT+lQSh+q6qhKG0yYx+jUxhYWF47rnnMePzL4z8dDFGcnwg2HuJC8zPgwNhDXOoMxeNM/YxMAc7ntjm5M/BeHZ+8kz489uxdx8GPfgQ3n3/Q/TucxeWLv8JTzz1DKpUq644N6yjCMR6rz53IYTghWXL0KnLbXj7nXdpOHnffnfji5lf487effDJ9M+QRrQlVJxjoTWlOoH1/HDdOSy+SyuZkFQKy/Ki/yLQTtlzQOucDFBtWpoAtwTmch82CwDOKk2q4TU6U52GIiqEJmpli88kuFY7R4uOUmw77ytABWeIhcJ4oPL4ScJoJ6iqmSYhF5FfrbDZF1MzqML4uEcHGUrkXJncKAGmdCYSJAvwrIBwFZCLRq6KOZg+F946AdTFC6ICdOOFCgaqDWEJtp91uPjxEycwaNAgjBkzBs1bGIrTQZfFtKmo6Gh07d4DSxb+YCJTbgS+BU7B836Cn0V2oefmf8fr+XuAWcsxtZpFCRUmAqXPPhw+dBi79uzDoHv6GsCe7qvvb31sLkBiAbjvHXAPateqiYkTJ9LrMzp3w6us/qk9HRWYm8wQq23FPtqbZeSCuUG107Oqc3Ddr+HSmRNwERVcFQxJsGSAbtU4MpeGoWnGFnWwJUhWwJozNAI1W3fCnjXLpNK1MbM8YvEdFYAztpWEjRulRYLNQpHXDLLJ3+S7JE/7ZqcLO/cz1pjfi54h8ViQm8LymsW5eQjQFiV4eLkdXn6ndmw0jqSkcZEcM2XH+qOftuxDjzbNmHFIoi6cThw4cQa79h1Erx7dce7CRTRo2EgyEkK4honX+DDny+mIiI4xQsNpyLgfhR6/BrJVRlsNGSfLjKuXkHHlPE5uWIk/Ph6NPz8dg4L8PBQVFSnMhjW7AYv2c70pAISrwJ1GSBjhjepnxr0zmEt9VrerUZhi3BTsi65WnZmWSo1DlSlVzlb+y/IkuQFjCu+sV60yDpw6rxhxqiCakaddIiIMJcNCsezEeTb+WozXKqMtmkqSMwSXfEXi8gPOUHPCmh0dyudURX/PQdzslJFfBJfLgegScfjho0mMcBC2Dy+zRdTICfimYNkCbAfMHJQLwE6W4lji+WRcOIXU04dRvV0Pnc22cKKoY3NRUQFOHzlkVDkw9Vmdu3bFL6vXSAOaGc5ugAi7ukLQuF4tPNSjI0bOWAS/MxSOsHA4w8LgDAuFKywEzvAQOMkyzA1naAgF3WydAXAnAeGhLjgFKA9xstntgJ2CbjUMmuUl96+YhGyvF0suEYeNuV2YRG1F6DQHoUI0TgXYOuBWthHbVPm7CWKwCxm8rK18xQLeAfkeyH0CXTk2zmpfQ1FQZ4+YwmwONHNHUaAtx08l0pI8N1qv3Vw2TzgoLMp4QRFAa1G7KiolleH53IIcYuvS1iy8eacT/U4AaNMBXFCQLX9bgDcG2EQZLgaejVluc7hw8Pgp7Nq7H4MG9GcAm4Nrst/xU2dw/9BHsHjpMnw3ezbuf+BB+jtizDD61MD+lfz9y+IfsH3DH1JEVTxNVSdBtie1rfH3lZXgY8tf5n2Dh59/BWEhIXSb2TnGQLluPxkvsLHaunVr7Nu3z7jv5mgii9kafBr4wDwbz0sQc4aInMQoJrwhiL49+/dj4H2Daf77pLcm45Np09GkaXNKVmhl9kx6KmoKnJgjIqPRvced+P777w2xV9jQqElTvPPuu1i0aDEl/h4d8TgeHfk49uw/oAPuACE2VX9KCYeXYFs1fPmYRlJG/3ugzRqSAMrFguxiAbfJk8gbFId12kTY7BDYUQGifpphwBuGgRXYVmZiOHsLUM4Vyu9zELDNAXdOkQeRoQKUMwNAAmwVcHNATR7iU+/PxHvPPUyNcxmaIwVfWKdhdCAqO62CYsWLpLHbOmA2wLWxX+Dngr0WQN30G5bgOjgQLygowqTJU/Dyy6/g448/DgKyTSqeQcC3OvW9ZyAOHzyAwwf2a8/3ZiaV6WQ/e+NwjQii3ezkKyoMYJoDZzOg5tv5No0F93mNWYBln167lMzzFixCbIkYdOvcwfgNtcapib1m9U8DwbYMq5GlNfwYOXw4riZfwZrVqw0fn4kF0SK55OdBgGwxDv+/50a5uUmeF//nZn6TgmafD5VrN7Rs19Y510rus1qbVZbqYoOIAMOCaVZLRtXt2AvJp4/i4vHDGqg2GGzTbGKwzXnaPmWWCsYWIFsAjyOXWT3Tm5kI+8dCtNlc3hGGIr8PxwvyDGeCBNtspow1r3FbNToSx65lyjBxgRYlSLDbsfPYGTSrU11hOFyYt+wX+i6cvXAJQ4cMAZEmFB5wtQwLAcnp6eloe0dfLUxcCJ+RWQPZykxytfPz87Hu/eexa/6nyM/JQlLzLmjx6JtoNuw12m/+9eHzOLxqHgPcEsCZct1M7ea67Y+/k1ZAULRDkU6gtjnxGb1//FiBEV6qAWeMuXTcVNg/zeiz2ZCdkYZGLW/RjD/1pdKvSzXqjPXoqAhk5RZI8TMpgqYpKbMxtllSAo6lZeFoRlaQsVpltNmplHeE4KK3QLtey/tryXTr+5zZYYxHNzpl5XuoXdO1/yBUqV2fRj4JsC2MbMI+G4w2A9whljNjtwVj7RRLO1saxjtwcuPPCImIRsUm7aRhr9pVVr0fuV5vkQf7t/5lsHMyxYS1r+539sLyn1ZIsAMCsomCszMEcIfCFhKGnp3aolPzhnj662Xwu0LgCAuDKzwUTjKHkZmBbQdfMsDNwDcF2yFsSRlvCrL5rLDaQviLAWcHnqxVFceys7E6OTkQXCulr+gsjiHriQsQpABsCqqDgG5uT4YSRxGisBsZwdt8QCtTPxNsJNseDgcNHVfbo9VEvtU2NBpnPAU4VZSnRHMYUR3iHjCHlFIyj+gfqGrjdGZh4UwAbQOeHtBDhovrs0Li/A2gTb9jZUtKwGYC4OaoTg6O5flQVpox00zcTNjTAnCTbS7MW7wMsSVK4Pbbu8rvXk65hufHvILxb07C2JdfxtR33kF0iVhNUVyCPpmyYR7bgYN7dqNm/UYyLVFlou2ivcjoXgNUS4cbfy83rFyG+4Y/hQZNm9P3V77LErMYx5ROMlPzEu0lPDwcuTSKyKK5qcBa5kebI1TNqaxWz0wB2JzJNgA2f06yJjl7hhcuX8HwUU9g2vQZmPr2O5j6zrsok5SkpbRJYK2Kuiq2BJmlzcSdf/0H3IuDBw5g7759RqQg/x4ps9mzVx98//0PGP3CaMyY8QWGDHsER44e1zCO/hIJcG0w12bGW/vcw+q6/yc52sQgStt3mDYkNetT5pGJmoBCjdRmvU47FJqixsMveV43NSRMpRxEQzqNPFSkQeM82YC3JC1k3IrZVmbyvQK/n3aW0tBQgLXaQRX6fFRkSnRUqjedHVwvek/WF6zbglsa1kbtqpUMIQlVkdwMfjXPivEwDcEy8Rl/a5S3TZfVN3lflHX9WIrZIT01Ak6pXjBlnacS7t9/APMXLsCOHTsxbNgwvPTSS+y7wUC2NltyO9pft3bsjKioaPz6ywrUqsMUTqUewc20UeV8bmYi4eM3M9HrpF4t1ZAO/qNGjrZ5H3W74pkI/stY/stq9Ox2G0JcLiHZatpFCX/hySfG28qVMRQTmzxqFgrD2tqUyW+hb7/+aNykCeLjRRk9nv8mNSSMJ2O8jUbaC/vY6ukFfu8/n0T+TbBTCjb5gUq16sPj8ViWgDGYSYuwdC0nW/WQB6qEG7nWbECp0KgV3OGROLr5NzQrX03JAzO+K3Kx1e+qgEtVIxcsurmeuEznUEA22X7oUuZN3V7ijDi38wC1Smh0EjE0/MCdISWxMDcZz7rKw+Hx0TruVAjNQ3Iz/ZTdZmHifkQ6HcggCsVmSpY2Kjt2n7qIOpXLw+4mBr6Lhq0SQ2v56nXocftt+GPDRjz7wotG3WwFaJN53eqf8eDTY5Anxc0EADeUxQ1W28vF0PwUYO9aOANVbxuA5o9OgM0ZQs+RqiKQvp30/7Dhliffxbktq5B2+gjiq9aVY6Ea6aE6HWnVJ43zCtIEZX8g8sYCGy/bhY15LCBVB7/mcHB5WwMYT8Fgw5rVJtFHUdHo0utujeU2zoFfnzK2yPFNjmVsjouOxLWsHMS6hePaGGPFCZBx984aFbD25AWsu3AFVatXDmQtVYaezyXtTqSS0HF5oYHvfCDAth6lzmzfW+zzCXxefmQVenlVFqD9nXdh3dIFtDZw2173KHff6C9pmS+7VTUAQ5OBqJDbyTvDy26xPoWJSTGVexvObF+PSs07yDBUw0hX7o9yA4QjqHytBtj9+0qN0VYN39g4Jlp3+tx5VC1fFn6HB/C5YXOxCCt+MDzQ6zb66IZ8NA/TRvRDVHiokntv5OGLHG0qfChFD7mzjzvaRI63z0sUk8mJ+4w6wqQuOTUU7RhdtyamHDiCi3l5GFy+PCtjxo1IpoXEgTmTWmaiaqRWMbc1qXCvyNHmedpa3rayTYilEcXwk0jBReSjLEJ587IqUmu838LGMop8GYBbbYOsEVq9sDY0dEUi3GbHltws1IyJ1hhtsY9a8otGYHKQrZfyYnnXZP5s2R8Y1a+rIoAmPlPIICEeRvKtb/Jd8JvzswOuy2KDtHdV0S397wBApPQtxOZd/suvuPOO7ggJi0ReYSE++uRjbNy8GS+8MBqtWt8ineDCWakLnynaKWrddf7OdOjeEyUSEunYIU+Zi+bRBqLknusRQsyBk5udic8nvYKqterQOuFm5lsNMdfIR3NEiun2ebmdYth6Cv1BnwF5t/g2JVyajVOikxRjjbk3NANQQc4pJKGJoFv96xp8/OmneP31CWjQqJGMwhL3XP1btdktdSgEUcLlTW7t2IlGwq5Y8RNq163HhQ4Nh7EgfypVrYZPPp2GkydPYMqUyTQNZsxLo1GxfHklN51rSdB7ZBiKflLyTNxs1a4lq4RkI5qI/wWjnXH0JJCba81aa2HhwVlt1csqBmvhRVSZZzXkOxseGjpOgDYDzWQfkzcyIPfGnIcDXPAVoqIzhHqPmPNGVRvn4Wd8ID90LRN1S8UankFF/MzMAtNOCDZ8s2IdRtxzp8ZWs/1NTDMPYzA8eEpOtYntNudbM8+RKcxGCwtXcink76kst85uB+Rw806LdDZbd+zAa69PQM9evTHru+/QsyfxbP+Eu+7qa9RNVcGtBjrF8sZQjcvlQruOnfDbr6sCPjOzMcEmEUIoAd9NTDfNaPs8Rpi2iYUOmIlgGmWb1aWY1e2M7daYbdN89sxZHDxyFN07t9d/W5kNxlxh1RWW2zp322C2w0JD8caE1/HSiy9KE8GcK6T5dBS2+9+azIeSpWyUTtTKNyT2o0aH+TimkHcJNqx+m1/j2WMHse7HeQENynAomUPJLVhsJRfbatbYbWJ82pyo2Kg1Tm7/w7SfwWKLXGsjD1thxulnbF2y2UL8zBw2zgXRjNqtfhy+fHNA+8rhE8jLztFKoRAvdKTNiRCbHRc9BUauOv1tZljL+20DdqekoXFpVhJNMi4uBqjJ8qvVG/Fw7y5ayOCZi1dw8MgxqkLavVs32oep95r8BDmPI4cO4o/VvzDvuAquTQBbq53t8SM3Jxtr3nkasVXqwh0VR5k8tdQam/m9s9lQvlV3RJaphI3TX0ZRQd4NOGLMBrZhZFil3FjmfhufBn0+Qt3WOnTcxMbwkGOVVTHGYxs+m/QqPIUFei5hse+/7rhlwMCOetUrYf/pC3wM1Ct5MDabjbuNyyagZHgo/jifHBAyLi5AA93ENuDK9EK0KuCdtzhLfRwztp3doYRj3sCUU0iCiomYlmE4t+/ZD4d2bMKeP0lZVB4FSG0mI0+bMtSmWTCvLLqACQqKSAPNgLfbkJ1yCWnnTlA2W73twSbVyRAeHY37X3xDE33yqGDb78ezz7+Il8eNh4dAVvL+Od3wE6eTKxRwhQEh4bCFhmNwr654YsAdGDh1Fo5fy4E9LJyy247wMMluM6abM9w0bJww3DyUnDDbRL2c5Hi7CKPtZLnaLpa3rYWRuxxwux0YW78WSoWHYezBQ7jmLTI+dwom2wD54jMHmUUovl2ZbeBLNhu2qxqVaUMHxFPFcAK2xTtm5UA2lKdV94rxDFJRREXWKHRRhes0wMBmcl6NQiKxLS9T402yPR5EccVqFXwbJJFgt3mOPV8W+WxYt/swerRpqgigGamOwv4U7CUFzTczecj+HBlZAOLgoeOCoRY2sdimsKckglRhsw1G24kz5y/h4OHD6Nr1Nnz3/Xz06XcPqlarjoULF6Flq9ZKpQ+DxTaDbGs2mxGDBQX5KCwskJfE+k2DvVajVdT2RVDCgW0bSAgJeg8agkGPjpKfMdbbhIMUNltrFxZ975mzZ1A2KYmB/eIm7QBKuLQVcQcLPSeJJ+xBQTZZTp/xOb6fPx/f//AD6jdsaEpJUVJUTFFZUrjVnKMtiAPeLxHBXlJa9tdVq5RIBIUhV7Vx/H5UrlIFM2Z8jpGPj8SYsa/ghZfG4tq19ECmX8V25IkFITJJlNLNTDcFtFN52LjW8Wih4dcB2SoI1spxKWE7gpGW7DRwDnl0nQihMa+QFZgOBryNeVdRFlqFRhsdmmWuF2vUe5KvoXGZBCW0TXgJ1c7L8Mav2XEAbRvVpSEcskOTauQWeQyqOIEI+1ZBtjkk3NwRqaJoVmHhKgAX4RIasFbZePbyXE1JxQ8LFuKR4SPQ+65+WLHiZ/TocSd+XLoUU6a+jabNmtNGxn3YShkQDjcs8rJvhrXs2KUr9uzcgdQUXhoGJguJL9WuRO181N3Yuu2mDKSbEURjYeMGOBY51eYwb/3z6wNpHZQHzqvWrqMlD7q0u0X5Df4dDqol6BeA2gSsjfxsNWycx5rwv5s1bYKkcklYunSp0qHr4aZaKQo1ykUDxH9/MjtNgj1PCa7NDgHlvLS9xcBl4SQwX0uVOg1x6uDegF+W7KQEPOw/PafLxEoVC7KN8G/KajduiyvH9yM7PdUQSxM52jI8XAkbNwFsJtJlhJALYK0CatYsAvO1Tyfn3JQgGgEjag6VDPXy+9HSFY2N+RmG2jnPyTbCqlmfuj05DS3LJdIar8TANmYXsoq8uJyWiVokUoiErHKwvXL9BvouHDh0BPcNGkQZPna9Shigz48f583CvSOeURwTvOapWsqLl/ii+dgeH1IvnEZuZgZaj3gLpRrequXRC7CtOg8E4La7w1CpXW9snvEazfHVwLbmdDTVLFYalllkjK4q4mNa33qdLkuw22ZnpQTcknXhQE44w7nhpzLXXk8RCgvyEBkVxQCtmSXVf1gxTlQjjgHrBtUqYd9JlqctQLVV/nViZDgiXU7sS0lDWmGhicUOwmwDKOVw4yrP0xanI/K4zZMWoWK6hMuHTtyUIFpWQZEGiondQSLjRr7+DqrVrY/kc6ckyLYUknUYsxHarKfHGQy1YYyf27WBCpeVb9Dqhp3MqsPmqwmjkZl+zQij5c4y8S5VrVWbjv/TP/8SPhq+K0B2KOAOo+HjCImALTQCbZo1xlevjMRL3y7H3E37YAsVIJsvTeHkLEebhI2zXG0hqCbANjGqqZCXEEiTwJuBbSKu1qtSEh6vWRUTjhzBHqIhoIiosbBpNYyc5Wo7xL22BwHbHHCrdqzIiScOxNtQEvuQibPIs+Cw2d9iXX9NDfBNhNCqIsJwZhUDpmgqRUgkjhbkIoNE0/E2fzm/AKXDQvkrpoJsU762BrYdWLZlL3q1bQo7ybVXBdBMJI+0FYkIFOnobnBioebi3TflxsqIUOM3BImki2uRfZRwZCVvOyBHm88r1/xGa0x//uVMZGZlY/GSJeh9113UBlaBtRYqbgG4VeZVjdjcsfEPZKSm8j5Qz8em2gv83ZZtyGGnjrZxDw/AmSMHUbJkAho3bck/4++6cG7aLVJpLfpZM+GxeNEi3N2v3w08FbPLUYSSm7bzZ6WHWatRA9Ygm9yv0S++hOSUFCrOxgTjoKu4i7Kjasi4zM029lNnA2wb+xG8sGvHdlxNTuYpL3rdc/132Vy3Xn3MnjMHvXr3wuAHh2Dh4h8ZaSgdCboTIhjYJvpMNyOIdlNAO20vF0Lj3psNhRn4vSDtBvOzjdxs6bWxyIkxs910EEEeyiCEhs0YImwqgL8+o01ek2OePNR0hckGTcOMeAuWLBgH1juvpKJREgHahhFgeN15eRlFyOXLZWswvP8dXE1Rzcm2yMVWvseYbR2EB3Y0JrVx8z4qcDaBaE0lUPFEkf2IaviKn1fihRfHoFfvPhj90hgUFBZh/PjxVNHvtfHj0bR5c3otZnAtgUSxDMzNhQh36Hwb/c4f69bQvyW4K47Nlhv1MgrFTeQ31v28FOdPn/zbgmg0R0MB0zO/m4NPPv8ykCkOCqTNYFzdHmQfnxcrf1uPW5o1ZmWOAsA8B/oSXDOwrameK6Dbdp2c7Zdfegmfz5iBjIx0jUk2GwFm50fAA7pZtG0rBmwrz1b3+qtgW2e1A/Y3+29M7UW9rrDwcNwx+GHttALYbCUcSqbA8LBxLRTTlD8tQTZXEVdVwcs3akOfwZldG7X91XxsCqZlnrYiliYE0fjnMidbAGtZO5t9nrL3d+SlXJCfEbC589j5G35cZwjQlqImfmzzZOCPojR6DpXsYTjuyZe5nwaw15/xmawcWkpRquQKVtvpwq+7j6JXuxYMZBMRNC6Us3LdX2jcsD7KlS/Pcu0UxVjh8MjOycZjo19DQlIFmc8ucraZEBqvl80BNpmzM9Ox8auJVFTNFhLOnosWrs9fNc1oMH4zoVYzNLz3WXiLWCh8MLaUtSWLGxqEBVfDfQ2F8ev3rxYkhtZXmsdbM6MtWBuiOjzk6ZckKNCYcu0N4X1/gPfTANuE0T5A1MSVaCo1N1sFCQnhofQaN15OMVIMpd2jAAvl55IcblzyFgZ97y1uLR3LTiAHGSg0tt2kIFpWgVfeT2J3/LpoLlbM+QohbjfiEkph3gcTKdh2BAPZyt8ao62Insl7L50kwNndG1C6ViOERkYFvU7dzcP+Fe22Qq16OLJ7R6BTUDGCH3v8CWzbsQvLflmtMdp+NwfboeGwhUXAHhaB8hUqYOHk0Tiflo3Hpi9Alg9wUJAdBmcEYbUtQDadhSAaAdvC2aaokKvMtssuwTZZVo+NwrtNGuDn5GRMO30KhaRmtgWbzRhtnu/ORekki62Aba2yjmJzCvvVDQK2E2ib2YF0eCzr2pvBt/FCXEI+MuFBAmG0TZGcgU4xtt4sNIoeb3tOlrT9T+XmoFJUhGbLyso4Zn0hYcM6HJj32xYM7tZeq6UtbFdiNy5cuQ7Hzl4wIiGJ7UlZ6hub/IX5Sk6wDV99vxgffz1XF93iCtiaqJayroJvlWiSkZ1SNI1tu5Kahremvk1rMC9avBiPjRgJd2gYfCQSQwkB10pmmkttmutiKzos5N7XrNcIP373pYZVzO8zaVObfl2Od14YgZXzZ6FazdqY8tX3uPfhEVR3QYoaKg434VhTHWrquy76O8P2Yu3o6tVkrFmzBh06dLix5yI9ryqAZCk/+mwC2LyflpWKLMLFX39zImrUrImXX3mVKXQLsOvTHRwBjHZAGTWz6rheYo0sb+3UlY4zv61da9hZCiOuM+jiObJ6QG3atMOSJUuwZ99+jJ/wpiyjbAjEKWkLfhsWLv0Jx0+d1sH2TQii3Vzo+N6DssMhYRBrC9Io2PbCZ4RDBWOyuXdXBd7FKz8KhtuPSyhABVuYHsajhqoHlBfTt5MOdLsnCy1Do+EMKBmhlEPg5UUKibHp8yOG5BhJ5UYH7LIEiR5acyb5GiLDw1AyjoSaB+swrMUedIBtDjMPAr4DGGkFWFupk/NGk5OXhzVr1+GVV8eh91198fioJ3D23DkMHToMS35ciq++molBg+9H6TJlTXkUOriW/5kAtu75s2D+UPwyoVQpVK9ZC9u2bFZYG53F+Tem/Tu3YeXiH/DeeBIazSbbzYaPF+YZodpeD6Z99S1mfb8A+Tk5FEzbvGwOZKUFKDa20f01ITRFQVwNCfd6sHHrDnRs0yKwnBhnsaUomil8nAJuczi53GYVRu5HSIgbr7wyFuPGjVOyzAJBquYLtWCzVTs7+NL4QsD31TqwyucaU6c6AQLYOxWoq86CwP2tLNTcrCxcOqM7ZYJO5sFDDd3mg4Asr2UGbmIw8vkREhOPEuWq4PLh3YGiZqawTjUnW+Zhm3KyYf6M187OOnMQyTt/xallH7GSWh4Pzvw8Des277oJRnu/1Nsg17bFm4kdniwUKGia1ga2eof5/WYphUI7Q0nTsdux/dgZtK5fQ+tzyWC5cet2lIyPR7fbb6faAzTbSmUrfH4s+PYrbN/0pxZmbzgtmJOClUXj0QFEdf2vX9Dg7lFwx5Q0GQkmL7uaE89/V4DfsNhE7Jz9DlWCtkLTWuqDGjL+L/ZzVr+pKuMKMKgaiiK1S4BrwcqS9d9/Woyy5SoEAnblHTVsOGuGRDDYZRPicflaBjfeDIe3lVegUmw0KkZHYFdKml6+Sa7rpDmZomwO5JB+T168NcQ23g/gCgpwFDn4C6RmsOEkvhlBtGzCaHO2n0zL53yFtUt+QFFBPhx2Ox547lUs/3qaxlIHOC61O6e4MCwugY7LPj8uHtqFcvWaWzp01H5A7ZfUkjkN23eFOyxc1puXpQXV2Q+8//GnmL9gIZav+pUz2wRwh8LvCmMMt1uEkUfAHRWDVx65D4/2vR33vTMbqw6chj08gqqSs5ByolAumG2mRC4BN2e0KejmpcJkSDlVJRd/c3VyYte5HYgMd2N8ozpoVjIOow8cxIHcbArCZcg5B+Zs5mA9WBi5YLdNDLfbboPbBroMtdvRBfGIhQsrkUxFew33K3sC0kGrvNkEZO9GJjqjZNAITK3sGBd2i3O7UcEdigN52dJ23ZKahlalSxrl8bg9a2gOcfuWAmwGsk9cTkViXAlERUUaJbyk4JgDm3YfwHeLV+DJcZP1sOCbEIGiOd38nSd34dOv5+Lb+T8iN7+gmKo3qh2rpDUqRJL5u8J2XvXrGjz40FAqCnb//fcjPCLSUj1cHSOstqvrar4wA7w23NHvXtzatQcy01Lw5hNDsfDLj3Hm6EHs+GMNpj73GF4fcT9sHg/cTieeGvcW+g1+CAkJCYgMD+Ul/kwONY1ktF7S/pimzOrOF+IIfHzkSLw9dSrN9xbRiazdKb1AwBhk7jTNnliD0TXANgeippJg4rPVa9YiJSUFDw17OCC9yaeSEZbh+SpRYV1WzTyXTEykeGHr5k3adkMbJ3hOOPkdp9uN119/HdExMRg3/nUFbOtj1uZt2zHnhwV4avRY7V7dDNB23ozgzabt21CTU+nk5R0UkUiNqTDOeJIbRhoiFZLgwagkeI5so+IxICIyTDiNDYEqiFJS+BVBFVL6IB8+lLOFUgCtGtxqPrfaWZnzaajCX0EmxsRXYGFENHRIzAJsG4qWmy+l4JYKpQ1PqFomgee4sCWbZ/3yBx7q3TUwt1oF2Uqdava30Umonn7pRVFl91ULQl2/jpCZ1+fFnj17sWbNWmzZupWGWbZq1Qp9+/XD+NcnMEPWHIpovJoyFFwOESp4ttxP/dv4jgbEA46gHQmNm7XAru1bLagfvrBQLL/ZqXqdekgsk4QW7ToaG203DrSp4VKYq7HAU159Afn5BQgLcXKgK8LDrATOihE9M4WXqtPRE6dxLT0DrRo3YL+hTuSZU/E43j6oG51541i7Yn51m190mODb7ERnhujK8Il8zkQgyKm0ad0aP8xfgA0bNuCWNm3ZoamgBhOTMcTRhO4a/UQ/LS5qp93sYE9R3Z/vxi9F/hD9dd7XCIE247BsR2b4c4kaIRBi44MmP2/lkHR/ujf/vhZCSlJJ/voNpe8bZn3OyqMz2rppMKHhmEr+sBQxM80Kk5RQrT6Sj+01mFS1PrcCuA3vezEgmwNrFViQqwwrXQWu6JI0fPDwty+hQrdHUaH7CHjjk4q9VuOa/Ti36wAbTMl52IDOjjh6U4lwJRkH4u0uGsZbwe+0fO7iTTFAtqB1WB957PwV1KiYpLAtDhw9dQbX0tKRkZmJDp06Me+5EkUg7u+2DX+g+6BHaH3vAKCt1ifnofeXj+1H+ZZdYQ+LUkLElRx3Uyumphe5nzwHj4grsXfCj1o9h2Lv9x+gzRNTpDiW1tTV6Bs65jEhnRsN/b3pSWG7JMhWVKsdFswpi/5ij+OvVcvRZ+D9Mhdaw8Qm55jFhQr0Lit1iM/IOEQEr+RxtdBwOyrERKJCdCT2pKRpdqGxzkG3AlUj7Q5c8RZdl8VWh5d4uBEJB8pRlRvDgUgiNm70XSApSPQyST9iBx4ZPZ7mdIaGhdH2VK5SVTw8ZiI8BHi7WR1evWKD7tA02kiwUc+PtItnUJCdgVLVG8hhxdyGxPgrnXJ23qfwZYmEMjh/eB97F+w2eHxkZvXnySxYVpfTjU9mfImnRj6G9LR0DB5AhPG4s4T2x0rZUw7gSATWjzWrYMKX87Fk4x5MfOBOxIeFwU8iVzxF8Hu8LM3C64XN46V/q6HOdEkEFO0+ZoPRdS9sVFjRC5uXRzR4iGgZW29XNgEN40rgnQNHsD0kHYPLlZPnSS1TFUvQe0UczAY0UdsH3UY6Fu49EWMH0b0ifQOxD2v6I1DFH469yMIKJNM0x2qIoKrixtFsKIIPh5BNgXZXUpWbCOGZtIoCZwbEhIp6nbAIHMzNobYraWOpRYUoFRFmkEYWpfIY2DZs1rm/bcX93W9lTDYv56UKoDWqWwvlypZG1w7tNGB7o+CCjjEeDqjJZLdjyrjRzEYKD1MEEnWbNSBXWNkvUCSYYZG8/AK8PO41uv2tyZNpqStSDUdloY0ITBXImauGWO+nTuTnnU47VQonn7809WMcP3QAiaVK0ZJSTVrcwlJrbECXO3oZDsvrLKXD01RzW3abSiShGkr+5hsT0K9vX9SrW4fbjhZCHqL9WYVPSSOIC+eaP1OeRYCDQ1k/f+kS3v/gA8xfuNAAtCZHn09zYBhOaeNvo+1Y9XZGv2g4Hwle2LF9q+xHhdSv3cbEIunfJLKFMtlQ/jYO+Myzz+L9996jelSvvzbOMJ/pP3Y0bFAf5ZKScFunDgz7itvp/Q+Adl7yVezPuoYFRXloFxKDNiHRVJhB3DxpdHBjg3knBMiWppShUs6NXXmTpXAJNzT4Xb/sZ6Eq5e0hFECreaH2gBB0UXZMMNnMG7mpMANNQyIRThT+eKkHCZwlyDZY7WXHzmJsp2ZMmEcoNsr9eT1sPqfl5mPzgWMYN+IBObiorLYE2WrYBWek2TqrfWgJsLXOiId3BAXW7JYdO34c637/Hb+sXAWv14vGjRujS5cuePLpp+F2uwPBr/K3eTC3BNGmHawAtvm7ZpBdHKtNXpwFc79DZlYm7bDU8/znTA/rVULDwvH8G2/Ll128wERt+IYmzi6rIPq2tq2Mz1QgrXZ06hRsu/yc/aN2fZu376Ttv0UD0qmKczUMdYMeE2BbGKB+E+Am3TaV7DHujBlsK3f9jfHjce+gwVi85EfqBTRAtTAfTIrkCoJloJl9biDyYEvWP1jhcL/SL2jssz8QbItOUux38expqhIaEhpunDQ9nnDvse8bzIPuC6hStyH2blp/3WYh23ZAHc5AIB3IhupsKdmnZLX6OLZ+GS0n5QiJ0Bhyc26wTxE2M5ftYuOv+hlbL8xIwbWDf6FC10eQsvtXlOs0BHZXCL2Si+mmUiFBpqzkFBTk5FJzkvT3XpuNRh+F2AW7bENFRygOFeWifGioMvYbnYNw0rLnpzOWAkCR/FOZrmOzY/OO3fSz8IgIREXHoMCrllNjBjABDQMffYIakJ4iryLUptYyV1k7H/YtnYkWj07QowiUMEP9aXPHsNJo6JtDHDqwITy+DOr0YWkH6mQGpbLdWQCkG5lU5vN6+2VcPo+ouASaL6uFi4u87CCGIGFky1aoTMF4AMDWzsMK2erGMbMW7YgIC0VOQRHCrZgUblGSZ1w6OhyJEaH46/wVZBd5Eaox2roPWp2CQ1Oxoo96LtjRDvEm+G1D6qlzuJFJqBCT+0XeBWLcNWvbXubzMzvWD6+nAO+NHokXPvqWKY5rly1uKuuQAiJuTNdBLuHS4V10x8Tq9aUtJuwFGmFD2yVrv8zmsmkgmyiak3fj7LHDiAgPR4v2nQLYbMOZYoPbFYJpX8zEM6NGIC4ujqr+C3tEhCjTPGBaQopF4kU4HJj85BBs33cYD30wB0/06oDbG1aHv4hUIPDCzsG2vcgDn8MTCLR5xQICssm6nwJuAsiZgrmNAG8OKn0e1nZi7Da83rgufjp7ES8ePIhnq1ZFWRcp10ocDcDFwnyUcDhpCDgddrisuVAhpuLlTNycTeQ+kPeEYG4OtAnLzzoGdtcb+aNRF1E03XEz0lBA777xvMj3SE52NyQwJ1bQkmIWjDa/D3UjIrEqIxW5fi8OpmWiUXysFpkp7VWVIFJs2eTMXGw5fBLjHr3PxGQb5bzCIkLxyaRxip3KCSKzgz/Y5GMUmwrWurTnQn10k+YpsxDjUkgn09/CLibnVegpwoPDHsaQIUPQrVt3zJr1HW2jTZoRoK0CZoPJlA4nwbZa5WYLFlZxu9s0dXF2nJiYGDRp2VrTwjCLFbJt1gy19D0G9Llq9SRjP/YesmP+sX49UlNTce+9AxWQzdL+qPNXtDqNnTL3iuykT546g9KJiQgnThDtY/58hGqWlmtvzJ988ikmvPEGQkPDtVQ6ndn2S6tSasVo9n9geUrTmfKlwJNAI44XiMM9JjraANfXBdvcGcqf2bPPPouJkybi62++xdCHhvCnz543iYz46L235YUINXLSb/3roeOelDQMiimNV+Mq0JOelHkWq/PT6HpAuLY5dFuqOLIQHBECLnJixL4yR0bZ75K/AAk2F+2oiw0dN+WJi2Nc8xdha1EW7oyMZ52kyNHh4UQi90f8fSIrGxFuF8rFRct8QaKCSwQ5qAIuzxEUOS3vzluBFx7sRz9jYhIGmz1m6sdo3XswTpw9z/Oz1VxrRXFc5m+bQsFtFqHgigABacj7Dx7GtM8+x/1DHkKffnfjs8+/QGGRB5mZmYiKisJr419Hm7bt4HS5LcIvlPqrFnkRgWHj+qx3Yn5s3rIJfXvdia1bt2q5LfIls3y5dP6wSXNSl9uPfbt2BiJ8YaArU8ALeR00LoxEY90wX0jO5g1NhCmxUgwX4eBec1i4EUrO5iLT0mLm4eT0WHzeumsv6lavgpiI0MDcbx4+jqACaKITZjMxavQcbTWMnDP1fBkTHYWhDz2EDz54XwEJ1ga3/Ey5x2SaMuE19OnaAWdPnVSccroRyb6j1r1WfEnqMzR7fZVBTju2zYYTh/dj6pinMXX0E0peqWGH6uyRMNx1xfLo2DgMfn58sU3C7BA6uXcHpj/9AE4f2BUAqLUcbhEybqp3Teb4qvXp/U85cTAwXFwF2RbfJWHgVHiM50Sz7T4U5mQi/1oyru5ei7OrPkdofHnYXCFIbN6Tla7iTeBq5o3l4mVcStavX/QNCoCu74zEzsJsnjNOgIYP3iIxExbLR4F6bkEhZajoTEv/eKngiOF4NeatO/egTq0aCCFCPspDUEP90lJTKZuopbqoKS/iOZDfEgaW10OdDWZH5N+dLu/dKPsY0aZ2zf8YK8Y9gMwr5412rbLbQaZgpbgkOLP8kgHgrp46jJ8/fBXL3xsTUBLL/H6ZD+cOCcXjr068+Rtgs2HTth24/d6h2Lybl8riL2Dp+FgkpxEFZaU3UDoT4TwIdTgoY0cewwESbq5OKnGj5K0TNjuBhDYrhp0wvI0Qw2CPVvf0ZV66ekOXSvL8zWrBsjyaQgxEx8SiddeeWDXvay0n3qxRY1n3WhkzxbWSKIy4clXhDOPOOCEyZCG6aF5X5w79h+CPFYuZ1oPUMRBigTzFgjuqiE0y9b0P8On0z3Di9FmuBE1mN6tvTO0hlsdNa23zetvNGtTGksnPY+3e43h25lKMmbMKHcZ9jlNp2bR0nz3EzZdcgZwsZQ63EkouwsqVkHIRRk5nYde5HehZKQkv16+FD06exNq0VLrtVGE+3rlwGm9fOm18h37PThlLl5OF+JI5hIifkXBxMYvwcT5rn9ltCLPbUd0Wjq62kuhpS0QPWyLuQAKdmyAaR5CNVFshtVXVkPSAsHVVkI04wXieed3oaPrcD+fmYN65CxhUo5KSwy5U2oViOxGUY5UbbKSvdLrw/BcL8daIQbC7Q6juBbVd6fMS+c+GSJmefmg3CToWMxH7RzrXTCBayYM1xLbMauSmz0zhysQeJnonI0c9icGDB1OQTc5s2/ZtqF27DrV9bxRk6+OB8Y4R/RKNK1H6RtX+YJFA3FliD3yf1bBwlaE2A+qpb7yGXrd1wNnTxEYKpjLOjpGZkYHJk9/C5LcmiYLJehSl+cSLmfbuP4jHnnoew0Y9o3+gPTcrB6rcEYcOHUKjRo1ZH6URcPo9VUn27Vu3YHDfXti5neAF035mm8J8DP53IxpZ4MeenTt1MK/gDi1s3PSZ+jtjXhqDlatXY/eevUqovOokNpxANIf9vxBDK7h6lXrUQp0OdI+Kx4T4yihhd2Jy+llsLMigHlMr8Kvmt6ifB4BqJa+bO4zoPin+IpS2ETZbEaQIKLmg52mLY3ptfnyTcxnDY8rivK8Az10+jjnXLivlIRRBDS7A88Weoxjeqh4H1zw3W9QfpGCbzQRUX0rPwpFzl9CpZROF5ebhNzY70jKIYIUdeURkS+ZoCzEBRXHcIg9F5KmY87HPX7qMmd/Owv1DhlJgPWfuXFSsVAkffvgRVVd8+5130O/uuxESEoLGTZoGBdbmvAipIF4s2A4EDGoOxOaNGxESGoqtmzdrAFvzXgUB2WIbqXvncrtx7Ohh+ndBYSE8Qr03iOFr9oYVP5mVrA0Dlwgj3chEQ0YkoGYgW+ZZU5DM/5afKzna5Lv0+0UaiA42F+TnwUfCtXxeHDh6EvVrVg0UQROq5iKv21TSS4Bukc+9a99+tLq9D16f+n4g2FYBuVHhHv363oXt27fj/LlzJlBt3EOD9TDuM12zARnp6XSfggJSV1M+Cn1p+q4OwJXfMQF6sS7BswKkSyaUoikTtRo0NrzC8vjBc7UNaATk5+Zg2stPBrYDbfDQ2eQTe7dR9v/UXiYwJBhR0c5liJql+AfbHlGqPOxOFzIunqSGcBF5FzweLVxcMK6GyJgFwCblwIo8OPr9JJz88X0UpCejZP1OqNLvJURXIYMjL9WnCKVdzcy/KaAt74fMEDPUPp2w0WqzV4sKqfFCgbaHhX366NKHxiVjsf18MvUSE4aKhI9ShVufD1FhocjIzkE+AeLci3zw6HHUr1NbA6eqP45cz8XzZ3B0/96APkcMsRSknDiEH0bfi+0LptPPWgx7VXmuNy44FmxKPa7WYWbtrJAKGdmoWBrfrLVlqymg7I/CnKjGWJBv030iYxNolFbZGvV5XVYVygV6ttTDXblwFp+9RbQabmLiqU1/bdmO0JAQbNq+R2NBSsWVwJV0UkpOjWIwHAriQonNEeV2UeGgk5nZ9NBFRKBOiwrSxxgihEaUx0U7DBgDr/tMjV4g/eKVG7pcAkbNoaIGE2XT/u7SdyBaEDEfnxBPCxSBDfY8yXmTvkA4iK6dO4G4itWl801NK7EG21ws0ZRKkXzhLM6fOIJv35lAo0FIugUB2QUKyFZFGV0hYfjwk08x6qmnkZmbDz9xbNgF2GYziIAhYZFDONh2hyEsMhrvPjWElpVauGE3MvMLUAg7BX4EZGv52apIWhCAzXK2CcgWswGcRT52UkwE3mveAKfzc/H2yROIJjnhdjtqR0Up+9vhJEDbxfO1ST6tCUQHzCbQLfK3NcVyarMy4avLBGDDRvUAAkC2yAdXZ2E7E2VqXq6sQkQ4/c7K5GS0LV0S4SHknpPPVLDtpGJy5H6IMonkWfzw527UrVIBjerU4OCbgWwWNq6XjpW6QmqpWHNYT5CJsn1mkGJiRC3DxJWQcKscbhE+Ttrh408+hc6du+C227rSNk3e/0MHD6Fuvbo3BbJFX6COEwf37caAbh3wyTuTTD2CYSsEE480Shjr1Rwke61UbFABe2ZGOo8eYuUTtf7dBLjHjnkJr776CiIjI3W22sxeSwd18KlUYgIcTieaNm7IL1SPojWu3mqyITsnB2FhYSwFSE0ZNdn9xsS2b9tM8EIIdmxVNJnUHTWSzhpwC7xwXOCFAmYjmZ+nQRRaAH/6N4ue+fTTaXhpzFikpKReH2zfqNPpZkLHC5KvshxmEqrp99MOpmNkCdwSFoWfc9IwKfMcuoXFoakrggJyETouwsjJIyANjEAmGlolGr0SZn7am4+Vhak46SPlvGwY4C6FFH8hajjCKZgm0/VCxymIJ+FENj8+y76IgVGlUNYdglPefHp/PHaiRGkAbKFaSf7elnyNstlVEmM58GbeQRVg2xysUyIqhk9/OEsLv1FLI5COadrk15CTX4CIyGhdyEHUxlY9dbzDkR2M0gGdu3ARixYuwtrffkPp0qXRrVs3fPDhh4iNjTUatdJZJCSWxtKffqZ/0QAIyxBv5W91MjHMCPI9q88eHfkEmrdsjcbNmmnMkvwt5W/1BVL3cTqcqFy1Gk4cPYIxTz2ORd/PRkxsLDp364GXXp+EiCjmzb3hSSEnpOHC83DJZzJilSoWM0OCdJTFTkUFDESb74L0AliEjhu0yw15GrfuPYhX3v8Cf2zfDafDgdlvv4bDJ06ja9vmirdY7QwVS5vmyZHfIO+qGOT4PuT9JSF3xOAvLOSh2IpvjwJsERdutCrSJF979VW89967eO/9DzjLyMKv6ZHVe6zmP/N7/Na7HyInJ5uG4fiDMEfQvqPEpivHYZcqAr5ZaJARbm6EkYs94hMS8cHsxTJig16LGrZrztUWzUO5Jpc7BPm5zMC3mjTvK3f6tOv/EMrXbYKyNRsoedoKo62VrjCHkDOASsqaRJaqgMyLp7Hj6zdxbuMKuCKikdCgHarf9QQcIeEsb1jkD8syXRzEF3mQsncdUvb+hqr9X0HFO5+AMzSCN0d9QBRNVEw5BV7kFnioEVfclHHRxGjzYxtOPKYE3tgZha0FWejldFNWm4Brwmj7yOzx4tbSCfj22Bm0r16BnjcF2hxsl4gIw21Pvo4DJ8/D6XRg1vsTcfjYCdzWqSO27NoDT1ERC3s0TQ6HkwISzfAQ1ykGWSIISEGvBz7izFo2E/UHPqu1y2Cvq+Zk0qAZm/KzriE6qar2BfJ5q6Fj4SvMgzuMPQvVeCt2MjPPJqehdmIB5whExpXEoEkzWZ1pJRRY/b5xHfpBnU4XvZdB+3/VEUpqM4dH0KgqEn3z1PCH0aZZQ7SsV0Ppu4CSsdFIyciyCInR76RwplSKjsDJrGy8vvsAlp+7hGinE21iYjE8sRzcjHySYwsB2iVtLs04kxFWpnMNvBo5UFADrIA4ebJzEBrJnldxoeMybFz2UCyXhabOcIOO9C8Omx0R0TH4bNwzGPHmR4wREyGPNDxV9FOif2PHu3R0H/749gOcP7CDOvdve+otpF84hXINWmsOZ7XfZOGu7KpEsCM5Pq1Ha2Og2UHTKMj75se2337B/c+9qqkgO2x+PusO1TLlKuDZ51/AK6+9jg/fmQIbXPLOibFFitYZoQrU7unaphn21KuOF6fNxYJNe/HKgNvpb9J8fWJDqul6irCX38uWPhEa7WHrqhNHDSUX4eTEZh1VtzpVr596/DjG1qqJUi437YeM4dTQHxADANUpZrtoYePsOQF2ksOulBAyonnUKhTs+y0QjSv2UCTZQiiQpuXfFHLIDNqNElBMtI3Yri63A2XCQrEjLZ2WNmu6YBViQtzoWq0cXru9FWIl0GZsNtHfIGz24Uup+GH9Niye8hL9W2ezTaVlZVqjKEdrAGAWZXQdjo44/sU+yvssQYu6XQHa/gDmW9jFBjNOwoQfG/k4GtRvgFnffYdHH3uMOtO/nPk1jhw5go5dugQF2eoYFRiVaXxGS70S0EvGFmUSdo/RNvh24ZpXnPlmR6gaUWcG2WR9ynsfUqc+YeOtowbZ3/l5eTRkvG2bNkFsyhtks7nhQ4D2ykXfB+kRTYMLNcLUPhLIy8uj5dS03dQ+1s/+MdtJQ4ePQpMWrdGgSVMNFIuf0ZGIsKP1QZA4CCpXqYbjR49g9JMjsXDebJSIjUXXO+7E+DcnIzomWhqOxKZkv81tY3ockVbJrjU+viQmTZqE50e/iG9mfsXboBFGLv42bvMNvAs3A7QLU1LpSy4NM86AhNpt6BNdErd747A0OwVr8tPQN7wkajjDNBAtRGJIhyREc6QxZgPyfD7MKbhM6xP2cifgoDcHy4quIhc+lHa4aYcjHrswEKj3SNThVoB2kc2HL7Iv4c6IeNQjKpdOO2qFR+GjuNoIo8qWhrdThBll+32Yvuswvri7s/SmakqXJDeVemeZZ3D8N0vQq30rNOSeQVHbVZQkoDlKNgciIkOU2tkmz5wSDiM7E96xFHm8+GnFz5SxJnkg/fr1w4iRI2kIuGh2wmgwALDRWSjt2+LvgOZrNJwgz784oM1/GU6XE81aslxl1fFpBbjN56Aev0q16ti5dTMOHzyAkc+Mpu3n2xnTEBIahlcmvq2dT7BJY2o4YPMHwXdG32mjrHaYW+80AiZR2ktjVNSLMIFqP2MejG3m7+hTTm4e7n3mNapk//bzw7Fi/WaMmvAuUtMzULNiEvxFRUq4qDIwyXVV4ZcNGNTQ49ub1q+NP3+cC3doKAfWCsDk4Nmvgmz+d/36dXHmzBnkZGchIpLlz6sglQpFKEIWKugmxn0k/Y4hSCa+qPXbQZ6pCtrVxyfZbPkBO6DcRwPnujga/0vL1TZ5X+i5EZDRqE2n4tsE/S3D82p3uFCxblPJIAlwbcU0BQvxJN+LLF0Bqcf3IPP8CVTpPoT2uWfXzYfN4Ua1vk8Z9bGV0l3eoiLkXj5Fw6A9+Tmods+rNDxc+lHk6RptUPQfarO8mlWAitcB2ukqo606VyWwYaC7ujMc3+Vfxp3+OHYPJNj2wlvoQ7kolq974VomKoS64S0sgqOoCNlZ2Vi+eTdyC4ow9amH8PPGXXjytclITUtHzWqVUeQHdmzfhsbNW/LwXDIuEIEiG2rVa4CkarVR4FcZBz0nuUz1eug/aRY8NgcKSJmvnAwUZKbCFRUnczTJoEUGY3brFDeRuQyLwmSeWrcIpeo2R8P+jxshg7xRkXUX0QsIMsmoDhUMB+wTCMvNUR1aeLiJMde6DgVWa4aoiHTwA7EJpVC7YVM9GsmKZeDL6tWr4+ixE2jeqB5cbhduad4EtqICgka58KCNlijMyA7uwBJTbpEH4S4nKnNBtKMZ2XioUgXafn64eBEuHzA8Lkk6mYTaPQGzpIKIaIcauFYjUPSnKu+Del8yLl5BaI0qxZ4nYdmpycXBNhPnYaKRTBWDNCX2N5ljSsQiPDIKpw7uQcXaDWkaHrFjiG/Ux9ssySWmbc/vR35BHpZNeY6qg9/60PM4se13/PHFJORnpaNEUqWA85HDE89VpEOAzNM2gLbob8rWqIcXvlyM3+Z+gR1//oZWHbpwBXIfnFwczUGICi6OxpY2tLm1AxYvWoiNW7ehTYvmDGCTZ+Ag/R7PGXUYaUmifZM5OsaG6S88gm9/Xof73/kWn426F9EhbnoPad62zWOImPFIB5qDzYc7A7gJoKPkadsYq6rgb2pr3lI6gbLCE/cdxqDy5dAsKka+Lwyks/rsAkkTkTWSVmX3+uEgmg7ExiSX5+czaWsq0FaqH8hIQWm32lEVRB/BsFtVRlsD2gRU01B2B5yhDjhDnHRZ4ACyPB6UcLuw/MxFjGxcCzanHV/vPorw8FBM6d8ZjtAQOEJCYA8NhT0kBGn5RXh2xnzMeu0pqs9g2KvcZlUq3Risth7WLWxW6pwkQmzFTH4FaAeCaxV8224gF9v4e/uOnbRqzktjXsJjjw2njO5bk6fg559/xnPPPI1r11JRvXoNi1Bkc9iw2o8Fhi3XadAI3y1dTaPSdCcyP5ZhIlzXQ2rlR1RbrUEcMhtJ3i2VEFD+Tk9PR2Ji4nV+VDWaOEpUGAQmaKtsVz83dyLCkFOPJ0/Kj5Ilia4FkHI1GfElE5TrE1YWqG0t9EzE7HK50LRlK+n0UH9SRQjiFDg8ZucuTsMPVK5u4IVRz42mX5g5YxrCQsPw5tR3DQjAv6ODeUNLTPBrjRo3puUJl69YgZ497pA33gps38i7cHNAO1UAbe4BoOGKpLYmYbv8CLfbMDAmEekeD+ZnJWNZbiq6hsaivitcMtxUkIN0QhRk6+tLC68h2+/FExHlqCe6oS8Cb+aQumVAGbubdkb02SqNVApFKEA7xVeIr7Mv496oUqgfxkC2kwPqkBDSWSn5OARsux2wuRyYuGEXXri1CaIjw5WcHyNcSYTZELC9fPMe5BZ6cH+vrtwr6JYdlwDZaud1PZCtSuTn5Obisxlf0Lp43e+4AzM+/xwlSpTgjYPdR96+jMZo6jjk52potrKfbNDq+nUcYMxDXSy2DWjA1tv1FyjgvP1+VKxcFb/+/BNatmmHJ4ikPmwoUSIOU8aPRc++91DFR3HcYk9bAj0LsG2xK/mHhMqFSaXQIBMpW0EZbYtQHXoNPM+Zoh8Riq2AVwm61btjTBOmfU3rQa6cNhFVy5fBnW2boe5dj9DPapQrTYF+YNiVANZcjEYIn1HvljDzDAG0ELdTA9Magy1YbebO4R0wWw64pz8WLFiAIQ8NLVaBXLLSnEFWMazenVuImRnIXR5UGzcUVXJ1XUH8vFNn3xf7qDyZ6EdE56l+XR3cxH6VateFp6gQdvKuB5mMd9L8H7+TNHcSQfMk5TaSx8xrN0cklMOlXX8grkYTVO4+lPa3RBH7xNJPUbJRF0SVr60IofmRdngLLv61ACUb3474Bp0RXqYG+32LkD/xPqpNUO03rmblo2LJ4lm8TCVHm0yWpThIji8XCsvxeeH22ZkIEwkb53naviIv7q1aEd/uPoqxJWPgKyyi86Tlf+BaVg6a16yCoXe0R89ObY13oUollC1XEat+/ZVqO0jnK2fgXA4H3hn7OB4f/zbsdoeJQTBmV0gI/X3yeY2OdyEv5SJCouMNoC3bHh/7ZBvixxMlsTiYPbjkM+ppL1GmoilXt9hbGRxkq+BYBd5mFtwMsoWxowBq9YcU7k45EAfYSv9MP7bbkVAmKbDfNhuv/GWrWbMGjhw7huaN6isGtWFpkvOLjojA5cuGo6ZYoO10okJkBNaeu4xm8bF4pHJFePK9iPDbMf3CWbQPjUFVRxj9/cOFuahOHP2aJoLiWFImdewx3UrZH5A1kiJR6jpAm+Q20zahGaeMORE9L+m3DTEeoN+jT+FaylXWjvi+LPyUi5bRe0uWNvw1Zxpy01Nxz5tfIiqxHCo1a49Zo3rR3y5RVgfa0pmtGdfsfSTsrJf+jgG0BavtdLrRacBQ+IvyZJkvynYr+xgg21i+Nn4ChjwwGEsXL6Sh/n5SYYCwPQRgi15QcXpqY5fdgQfv7IyaFZIwcPJMfDzyHlRNjAVsRax+u4jAICBbNQDp2EEAnXE49rnhUSLtm9xrHen4UC6ahZK/s/8odqWnY2j58rBzYVrBghNHgTDVHB4bSByjBySMnvUx9N74eX9DI5FYVJyWkkcvm1fJUHP1lTxfNT9blA2jbDZnrwlrLUC2PcSBKUePonViPFZduIKWZUri6Vsa0LrkJEJkwq+bMbBtQ7SsXYUCbDJ7HE489tEsvD3qAZQulWiRl22ulhMYcanZrDfAlhIbSCqOB4BrvQ3cCItNxsP3Pngf+/btw5w5c2iKZHJyMpb/tAKVqlTB7d3vQDMe+lylWjUtFTIw9FhP49KchMq+rhCmayTAOOsJTKDwOjjbbOsYzVDtvK2PoPfxitMvM4OSbzf2q/6bA9viouTLaqwym1Pp+bm9SJ7gPcQunD8fIx5/3BJU+83np/2WsWqFEYoD22QieGHNzz+hVdt2eGr0yzQqJjY2Dm+OG4u7+g9AsxYtjOMpvyHJX3qCPPqI3/SxY8firj59aNWduLhYw341g+0bDB+33yyjrc8kL4SpHTr4HOd24bHYsniiRFmc8OZhYuY5rMq7hnx4DWE0u1KXkHaifqwrTMPtIXFIcobQTqa0042Grkj626HF5MiIcBvCZG8oTMec3GQ8FVsO9cMjqKiFANl0JiCbgm0nn8l2J74+eBJ1SsWjaaUyMv9H5AJJcQ4efrP/7GV8+dPvmPL0MCkuIUJvJMhWRCS0PGutFrZeE5AImE3//Av0v2cgKletSr0ppM418XqzAZd7SXnOc2AtOi6spIgl6QXi9aUasipyuoLNcvAIZkir+dxmI4w3bMYo6GUTAjo5bhBdunCeKqaPmfAW74iBQcMeRbWatTFz+kcWxlHAa6yFt1mHZ1p3bgRoX2/yF+bRPGtSc9jvJXMRn9k6PB6Ali0hcyH8RWwGWRYWyL/pumnOy8rCR3OX4flBfVClVBzdr2JCLHrd2pL+touwa+S4ReL45Pf4zM9B5nirtbuVPG1DmVLJTpJKlSLkT2buyxBAsuzTuzf1Hlt5Ws1/X/c5KJ5PZvhbe3oDgYbxDI3fMOVZm5g89r3/x9xbwFlVvP/j75vbHSywS3eXIIiChNiigKJYGIgKtmIjopioGCiiAipgdwEqJgqCdHfXssn23nv/r2fizMy55+4u+Pn+X7+B2RP39Jkz87yfeD8uzT1Qalx1MKLFlZt3hNV//oIdGySZk0Pr0QYEp6rHh9ZoyaYYZhFDSbUk7zCzDrS8eJzFWN6gz1DE1muCfYs/YNtSrObxAzuRt3EpfEn10PKKJ5DacQBCZDW23Ml10hd72i/dCUMohEJ1I0RT8auC9dupivunEKD1VaV8ma5NWLUZ2K4MolNSEjbnFqDoeBmzaJeWluH1hUtx5/ln4LJ+PfDJj3+gUWYqLhxwGjuj3+NmFtO//vqbtXEWnqS54pHytXmrNlj99++KwVdLYcXTWglrt5hv0K4HA967fv1cI7px2MdeXS7kb1+N0iN70LjnIHS6eAwnL9KYZ/XvIbJ4Fg6yTQWR3ua1vYxYbQeXQ7FDGObQrNx6WzatQLw9fP/xXBQV5JvEltZ2Zjx76zZtsGHjRu1Dt33VLiA1KR7HRMx1TeIqKbUpY8jBsjI2Ft3RpoUl9QxNq4fG/mh8WnjEOv/m6lLuUae779ZQI3zK2pKrTnHaxFpveTYIICVdRnmImx6byafpmVk4tGs7jh3ab4vRFgBOtK9AdSWWfvEueg+/HmkNGrFtkuo1RLOePEUlcTlYV6yDCw046OErkQjTqHpjYrFp5T/4c8HXVto7smobueg1Cy4NmQnJKbhm9Gg8N/VFhFzS2OAVcds+bjkVccIsZpsqkXH5oyg2hy2f2rkt3n7gJtz2+kfYfCiPyVfM9dkrXaC9qnpt07CqEYOJ2GXyXFQkuG7ERvnwcJd2aJmUgHs3bMSeqjIepy0MMgRwCej6fB74fW5Wo7y8MpI0Vt2MDC1aq7RsrfeI9R63mGrLYp4fR1Q6tqhOIPv5HdtZ6jIK46Rv4cHTu/L849F+3HBGF7TJSsNrv/zLrNlk1Xb5/bh75qe45rz+6NyWvC/9YXHZymVcEu6aKWnDDEN1IIFi/BqWd52drdoWp11DLDbN7967DyMuuxxp6emYPWcOYmLj8Nprr7G0TE2aNWdtO7tRI5x73vns3D6f35Ip7fJmOF+Q6TIebu3W+0HTkBWKFG7ppLiz9b1w6IPtvxv7a/MUMrpv3z7zV2MwQA2KDevMogu1X5F2A2EWM1OosUjXEMLZQ4bgm2++4Vw8xn3ZSDfrcK/25xgGusVf+a4kXnjw8ae4t1QIuPrGsWjVpi3eeHWapjB2ePcOShYqxDU15akpuOGmsTzEUlcMWfN1+xZOCGhX5RPQVqzdYYBbEIvJdSl+Py5PqodH0xojw+vHm8UH8VrxAfxbVczAohWPIjR4FDtU3+s3NHqkoSbbYo4A36wjkh2Ztv+G6hI8X7yPufQ8mN4YWdHRooNSFmyvDrCjvfBQjfJhwd5DOFhWjpv6dDJJNqI4sNbrwcJS3Dt9HmZNugtRsXF80KDBgw0oZnx2GMi2sytKsjO3ByvXrMVFlwxjbiNffPUVLrxoqMUq7kheZgPXZqynLUYoUpohCboZONcGTYdq3zZyjQDWbXT/YUzmNiFt8HlcS5+WWc/SPjESn+wcBAjEat+h3jlGKk4gz+5O6ToRoF1RKgBupQK5onIAXMl/Z6BbA9xsewLcBLZlNQE3gXGKlWualcZ+l9v2aNsMPq8HLetn8H3kseTxCeTTsxFTC3BL5nKLQM0E2zaUFT6SGFbPEGLIJc3jRll5WVj3LK0Vdi2uPqc/f07IZBgojF2UW6uTVU8DI47vU7Ne2kF4DYNcJDDS/YzBWPnbj+GWQaf2IacC0NrTe1kCr0zVpU0NYTYYQmbnfuxYvvgUQWzGbWNRyfUQDNJ7DuHAn59h38/vIjqzKaJSc+Ai4bYGcC0/GKU9VnHjqhmEkFtcOyGatGjbh0x1PPVdt/DGYHNVqdVXhXSwzQB3ABc2aYjP1u8QFu1qBl4apyXj0j6dMX/h7+wbOaV9K/i8XrRuks0s171O6Ya/lvzJgLYFToSl+bzhI9m3wIgyKdZRIxfi69xsnoiK5HJG0zYIVpbi31mPM8uijJMkciS2n1aZ11hVBf56+W4cXvMnouMTkdaktQXMTUFDseE7gmmHed52taqD6UjrjW1U+7YI0GpovpbAYfv0qbbq2AWb1q5SQqzWtythlQtvrVq1xuYtWx1TwUihJSM1mcVoS5ddQzDULqi0qgoxXg8G5WSxVWlRIgwiFGLyAYuz1cDknuoKNHBHma67Dt5TkYrZDXFxsi7M4/TNqvQ9/D2YoQV6X2PmCl+39A9jHxneIBU9RKZFoSAEsnXipXotO7DUd8kNGoc9NwWw9XSCym2c9zcEoAWI1lLdte8zAD9+8h5Ky7hlW4JtInzT+yeVCQG46OJh2Lp9O5Yu/xdBkn8Edw1nIxdyknRZFqBbylYM+Hn9yK6fidkPjcVdMz7GloPHxHaKI0eBa0V0JolszapvI/axyML0fd04u1F9TOzUDu/s2YtZ+/eiisQyAuN+tzDMSAMNrwSAoyTo9ujgWQHoGGIf97jFVK9uUfV5N6K9vPoJ1Ed54YvxwhfNZVUC2a4oD57dvh1dM1JxcavGOKtZNnvNWakJ8Eb7WY2KjUGj9GQmS5Mlm5QY0776DU0b1sfQgX1FXDYPc9RzZnM5VMqjkvhMpaS1A+A6kUAxE6Tt2xfgRFqxucXb5iqu5Wumbd6fOw/jb78Dzz33HEvhxfdzMcKrJk2bGim8iBuI3JEp9FAZfyKQnznEcMv+wdxPt35LuKaNb0Y/Wbssau9jwh6bLj9Yf0wgX69ePQYsDx0Wyj8DPGseAjWC7ZquwvYedWOL3aItapTPi4mPPoKHHnxQk9vsMpcrwrx2iXV4dubTAs4SeIGIb+U7IbzQMKeRIkaL4MFgibZhQB7o2rUba3O33XEX/81oo/zKnTwF/5PreFV+ni1Gm59EJ+DhFhIhDJJLeTCEqKALfeOScFpsEnJJK1tWhJeL97OclR39cejgi0U6aUBpd1eIgWf5MMoRRIrby7SDdkG5NBTEisoi/F1RhJa+GNyfmoN4n4/nyaZO0krhZbNmU6xLNM17sTKvAAt2H8RrF/fnWkEthYRbxmXTIOCLQkk1cONzb+GV+29BZr0MrpX1+tjAoUC219mSbWkITVdxYvZ8/sXnsX79BsyaPRvpGRmWQGxaesM/PoPdzyZA6EzeesOJvFxzY9E1dydawq9bXw45/l4vqwFbd+TQIRbzIX8jxmqy8OsaSNRVeNJyOhs+zowgQfkO1wlolx1ngNhcaXY+FqgRAJdpeNk6BXB5Zx1EaVkFZzj1+cAT0nDCC2YBFx/0sbwC1E9L4cDaJfKHWkobiiHTcl0SP0CIBkQP7yCpDYalyOadBoFu5RJkPU1WLZI09uDUM+t9am/8/ddf6H/mgFrdx9Vz1qe2YGvr9Pp1qE35Aj+4sZvj8fh2/DZ5rCQ7snjPrppitaV+VxzYpW3TtG0HJKSm1XkgkAOzSYSmhFy7gkpZs6XAG2T7+BJ5/FNZQS5io5MtC3WQ2p/bg8Ida5DYoifSu9Ngw/Pjyg/G/knIu1KPWSMj1Ed1MVsXi3ahAUD4y+Tuw9qwLNyyMl1+7AtUCisYTzcmQTaL1a4KoH9WBsb/9S+u6tYaUdHcTb+srByU3fuUVk2w+J+VLD67QWa6SH9XhdFXXIZJz76A3n1OQ9Dt5e6tBFJIUZFZD6lp6cg/fBDxGVkiMwUxAIdQ5QnBx8ACpYohsMCDm+i76XjBNTiel4vy3P3Y8M1sNOwxAMmNWjPCNCKUK809gF2/fYnSvMM4bfwz6HPLFBY7KwGuBLXywSvFzYmCbFP60JVLxrt1AtkGoLOfo9YWbPWNjEQmFMLgi0ci2s97qKAthts+XhGXSHU1ifxS6AvPv5qRnISjBZIMzS4ESmVQCCXCdZysDFSOlZcj0RdjdbfEjh0nAABdVxVTuLgZMNQZxo2xtab7dlAVFh6sm0Vbvjf9OFIAZ8/fcp+WpI1Ah56n4as5bxiKSElARt0ZuTj6/fxbIMs2U+KEeF7YiuOFiEvN4C7W1iAo79EWS6olkaU3S+7jzI2c9TncGu8J0PdBfCt+XHD97SguKmSMwvQtUXwyI0QjqzfLvS1ySjP3ca5keOa5qbjmyivw8QfzkBjH3xFztdQIwdg1kVgkG671nPhcVmYGZj90M6598nW8eNMItKrP+0CXdgvyrlT8LvfBkgol9TbpN+5ezrfl8zr+C5IHZWIMnu7REYsPHMF9GzZgVHY2TklMUoRqIo+3myrLmkDvh2LXRaiPSykcDC8Ki4BJvlfTbZzmpbKPpfDyeRjrOUszJoxDIb8bz2zbht7103Fhyxx4Y3xokJLIv4WqALJJ+S1qRSCE1DhKjxaFr/7ZgG0HczH9/ps1hQaBbZU7W4JqK/WsnvVGm9fl1rrhbGHRlm9OzDuCQO37l5bsgoIi3H7nXWjXvj0+/fQTeEjOFs/RSxZ5Ni5UGEq/vGN5qJdVX0kuDpbsyCDbTPPlBLINy7e6Uet+uAe2cEGuQ7GrFfWeh83zLtj8bkTXctPYsSzT0JQnnzRxs9jGuiw5I8d3l/2AdSia0MUndhmRf5W9Tz0VX375FRb+8AMGDznbVCrCdCUPA+BMzlI8QTgBTJIp8cKRQ8iQsesCLyQzvKDkEd4PCe8u8b4E3aQpjoqZCy44H3t278Yzzz2H+ydMUAokIVnWlXm8zkA7VFHmSIYWBrTZdYgUMxSz5Fbb1HNH4QJfOi4IpaM4WI3V5SX4vjwfB6sr2c39U1GMBLcXKR4vEl0e5IeqEO/2oAjVKA8GsD9QybTVewLl8MCFXtGJmJCagziPF26PmSObs4qrtA3kIs4s2ZQGItqHdQVFeHPNVrx+SX9ExUbDSyBb5Gu03MUZ0I5iwtuYZ97E/aMvZQQ8XBOrEaBRddVgybbccBQ4Opp7jDEnDh06FPfcO4H/FvZB61MFKu3gWv7iBKSdALr9OPry/0Wxg+vwdeZyanoGmz929Ijxe2VFBUsHYD92TW3d6PJqA9skyNRBQ0XfArNWGyttVmEJpjVL8uFjBfh11QYsWbcFuw5SXB4fYMiFjcjvqNIRaP2bX/2EPQePoGvLxujVrgWO5hUgMyWBWbMZ86o1ALrM5SAxsXKwwFN1eUzRkd0vAWwO8q2HIq6bx7+ojlQFT6tt+vU7A59/8SXOHDDAES9reFfs6dRxGj132FSOxfL44e+wdrBN60noJZIhKYCxGEUlb4p5SV6kOn1Jd6EDpFW//4RGbTuiSZtORtuyNLL2W7S7pMkB3MHKbVmGNEsRrffGpbBDVRTmITpTpO8KAlUlhag6ng9fUhZ8CWlGai79e9Dfu/zyNJyt+gQHTfzxCjuzfngpLyq2vVOjtViV7pPaJzH/lrE4bZelkOVWbW7Z9gdC6JGRiiW7DqJf2yYs3pMJVFUVuPGsU3H3rK+QkpyMzLRkIFAJBHxo0jALJcePs/4iJYus3JIlmQuvcbExmP/6C7jlsedQ7XajioAEWaglwGbPmnsQWRfvCiIxLR2B5DR0vvhG7Fm+GAdWLGbWw0anDoE/LhGtBl2KpAZNuEBB/B0WULKFqVh4u+4gWxKbGdhTtwTYPgrDUyeC5VxtLgTDCO/UETwDiIlPwHsvTcGt90+0CLosIKFvLw6ckZmBw0ePIis1ybK06Nbr2JholFdSP2oTvG1XVlEdgN/tRqxQvByrqERTL8Vj8xNWhoJIpvFXcADEMm8wG8Ow/R7tY5DRhu0dErXz2knbWH8TxjouiNBY90RxgcKbR5DA0nxyahqGjbmDPxYxPkm2bs4BQKG0bnj9xCVQabiXlxXmITaZA9Gw+zP1Zurl0jgnY7Wt2PIQI/vyuslizZVUzbr0xJ+fz0Wfs85Dvcx6Vry2jNlm4FqCRwbeuQv5vRPux133TsCbr7/GRCAllNvUGLJ9W2OnpapDVkY6s2xf++QbmH33NchIiGG/C1UYm3Lw7PgarOPrQFzGczNwra0neZXSY5E79sCcLPTKSMXbW3fiq0OHcH2jHDSh7A6eIIIeYkKnUEnlbUDK0SApHaw+XOTrdXAOk0DbnlfdI1nFyUNGSzVG0+OuEJ7auBHnN2mIc5pnwxtDcqwP9Tw8rDK/qppbtGMIaPtREQggOjoKy3cexPs//Y0PnryXpU2T3pccZOuhjnpKL+VlyQ1GzjxCdSoW0hMA28myKud10jO4sHv3Xoy95VY8NmkSTunZ0zocH0f4i42OjkZZOZni1Ph69OhRBrSsb79OINvBfVhMVTikapv69lYb1sG2rQ0a7b2ORfU+CgRK4CeP1bdvX7z37rtYuGghhgwebAJo+yuwg22nUhu2NcC2NF/IXal9cNlx4sRHMfzSy9CqTRs0bqy8bEI6qNZlLRsA17fXRUS56FTSMjIsMja9F6koL2dpjg2MIfgyJHeGvDU2tbOQC7ny1nHjMHHiREbCN+mxifBYmaLqnke7zkCbLF8Ui82NWxJQh4Ns+kMaQga2NZDNQYcC6Ynw4XRfMvoime13+f71yPZFsfRbFGNVGAxgc3UZqkIhfFueh2iXG9leP/rEJmGkPxNRjNWbuweyjkvEijOg7beDbG7B5m44PqzOL8SMVVuYJTsxMZ51VB7qqBjI5rkcZfwQ1QdmfowL+p+KfpQv23IXl5bs2kC2csORndXyf1fi4YcfwTPPPosOHSn9j+bm6QCw7eDaBNoOxAHavlajdQTdqkhhWy3XoU1EXDAO7Hi8mq6JYnColJeXGdtUVJTD7+dWjZMtNVm2FaispZBLN0tTo9+QZsXWwXYwiOUbt+GNL39CSVk5zunZEbee3w/NsoR1VGyva8YajnoAF53aCWf3aI8V2/bgkbc/xqIVG9hg/OvyNTitU2uu1SWLtAayaZ61Qcbyyo9paEjZzZOyjD5EQWrCLCvCqm1Zri0zhNiRTxkZFIDOHTti0uOT+fN0xLka+7h8rJHQuBMA19J6WXoAtloOznW3bPPNORM1kS8yAU0MFWQRYoy8Qhjmz0lpPyWhmhwM2p9yGr6cPR3XP/KsEoht6c1qKmFNw+JSkPNa+AVLIR2Cy8sVSwEKLZB5cquqEKgsQ2Lz7gxkSys3P4fDd2w9ZsHWGQlgi49QfotEVlZb0UM5jHvVAJue5qaJJxrbqsrQzZvAf7dyfge5K3l1EBc1boCXN2zD6S1yEOX1oLyigrmSZybGIz7Kh0O5xxBPCjey6nvIQlOF66+6AnNmz8HdDzzIQDblrq12gwHtDp264OuYGJQUHENUYioD+WS95q773BJqWf6k8iXIAUi1K4Tkeg2ReO6VjoBNGWfssdOqQ9QM20JYqt2SreFssa9aZ5xf39YJZGsGpJMplvApWLp2btlky3bhALZFH0Dpd9as24B6Z/ThgMZwH9eEdktTFeEayEWcXHBpHKVxQOSPli+NgLZfWNqOBqqQRjHBdbk37b2r96pLq6p/CjDrfO3Femca0zidh0AVI0ATz0aSobGpC3jz8Xsx+oEpiKJUoHrnph2X0gwGqio0oB1CdUU5Y7Dnz9a5E9LfVVCcmDZlYFtyv1A/JFN9Scu1K4TsVu3x8fSpGPvo0/AQ87j4JqoEkZpOiMaIhYJAn75n4O8lS/DOrDm4fvTVXBYSN8PlfuUtxUC2x+QBYb+HONh+YdyVuOGl9zH//uuYVwPbTjQ29vwc4h+dwDUXsOU6ftEuF5GdBVi6MOK54NbrIBLcUbitfSvsKy7Bm1t2IsrtxlXZ2ciM9lseOKTMpqmbvJAorRs9M5lmUXpOWDKYGE+kkkV8/1x25UoU5oEpgDbPhuPG9soyvLJ9B+7p1Abts1KZJZvkV7JcJ0TxNl5JQF2TXSlzAilEHnvvK3zwBDHUxwiATe7iWmYc3fPSkl313/QYbdOtuy4WW+4WbkN+kdyYtYw7/65azQDNG2+8wZifw2ViPl6Td0s5AW1Nbi4tKUFsXNwJgOxwedvOORTmLq5tb/2gyTQCq3EZRbeVahN7tcQsm7HZWg45g8BpL7+MkZddxlL+Ul9rOCaKj80E207iFjfwSemn5peqH4M9XXUYcQ+x0dF4Y/pruGnszZg7/wMkJJDnhf6QrF7APLT1rHhhxJA6ynYosjVRKkkqFWVmqBvhBekFZbwq7V1wzC2+UQtw82V920mTJuG9997FlVdfgxmvT0diQsIJKZ7qDrSpU/WK+AzhSqamppWbADj3ZNUs3gJkS9AtOx8peJLGOtnnw1mJqVbDy82tQnUohFtSG2rfJ0+9INM4sM6KprpFm3VWfCrja7hF28fcxd9auxWvXXwmkpLiLJDNpoKlkcA1aQFd/mi8/s2vSE5MwqgLzuIpcgTDuIw/ihyTrRFKCDccuqc5776P73/4Ae/Pm8fyvekxJnrnIBtGRPBs6yTkOrmFLvSYgNYUrsM+LQfLVo3toi4bORxQP7/CmPzafcJyUVFeYWxHriD+aKGh+r8C23UBTCTgk5U6AoqSLuE/r1iP1z5bhOYNMnD/yLPRrF6aciMn4jL2LUjmQnViinehuOvOORno3CgT1w3siZHPzEL+8VL8vX4LnvvwO3Ru3gi3DB2EhpmpAnCL9kYChEcKMdpQx3ol/nsY2JYfoWAW19N7WfPWwUIsZ2JsbCzLk0sdaU3u4+rN1qAy1QcqAQj5cWzb/0c3cvpbE9hmAEvk4pb7SJcmursGTZohp3lr0Yb48SxXUNtAEbHtaARTdJmSuNAA2JrijSn2SNCnWP1gCAVbVyBv3e+M/dzKo63FY6tB0HxomhpBXojY1IQYcgNaTUJ3bSVoAG3Vr0vLpnShlGCbeDdIgdo1FK/GBgJOLF6bC68ZcX5mxTxadBx+jwdl5ZUIMg4DH24+9zRc+dwctGnaiHMY0PMJRGFwv9Pw4vQZuKOyEh6vj8nuXqoivvq+x5/GunXrEJecxsI0LOWGdr/8vYp2ECAgw1P6BNzyHSnPF3uz1IG2ITxZQFsxhRv71OAubldkKqBurowIstVZT6pYIEEba1p36obSkuPwJ1KqPpXLwByP+Dk7de6MFf8sY+9GWa5MUiS3282BSg1dL8tY4iJeFg6pyGon3xlVAhbkT0DfAAHtVFKC135z1sTc1ul5Ubqo2r072JYWwJYKPA786BzsHhm4FvcrwTYx57Zsh71bN6Fl154OyhReyaJdXUmu47yfIpBMCjgvhbEp0TD8NgVAYCm+aE5Yn6lSH6gzkBOQ9riDRLjNgHXj9l2wZcUSpuzyuKNRxci4ucWbALkkbaNhhX03LP+3C3fdex9uHnMDGjVuhMED+vPeUTQQBbJ52+F9rPYhCuJUmrZr3hj3XXEexkybhzl3XwUPyVzaeCntSqa7uHpoEnRzxnLpQs5fBsvXHSDPmiCbhgIilReNoW4XGiXH4/HuHbD+WCGm79jF8rZfKQC326vCXqiPoD5M9cXK21M1KY2IkzV9NWWkiYLriAxEIZ8bnx0+iH8LC/HcqV2QnhgjQDbJqnwaJwR8eh9sPRGfRUWxFIlLNuzAL9MfQ3JKssiUwyvFupsW7FpAtpHei6ubFyxciOPHS3DllVfW/iEYLdkBYMN0F1/x7yqmwJ87b64tRFD1MVJWJktleUW5sQ0t03q7u3et7uJWswtXkugA35C3LVDG57nCnXdiIimTCaZtBmepoGRtV4Byp/RVNqJwDgLF72TVf+vtt3HVlVdi5sw3kZOdo8lB2vegJUGwXoWBOk+gCNmKE+lqEg+/ETbTKDubxWvfMvYmzHn3PeYFFglsS4DNv1+u9FPXblrhHaUa4vQSXq4ErPVCeEFatK2nq923dCG3cJMMb9DerVSc0PyVV13NuEcuG3k5Xp/+Gpo0blxnLFJnMjR6gM5EaLZqEaLZiSfCt/Vort6kkSYyM8oZyFJyed0s1ooAOMWseGVOQVYFG6Nws2GxLBZxBCePYFPhZkPVF+PD4kNHMXv9dhNkk9sNcxsnkO1nnRUH29H4bMkqrN25Hw+PvZKzZGpkEjIHodVBWZZr3llJkE1TWs49lodrr7sBBw8dwntz5yI5hfLJijzjtnhNXbOm5nW20MgkZHYCM8U+LtnIbSzkQbNKATRQhyrPVzNBmjMTsRS+ldVeAYUoYbXOzeWuILKDq2SuICdv0ZZdvxJ+uXCiu13W5cNhJGYawRnV8tISbNu1F4uWrsSMzxfiovun4s/Vm/DmnVfh2esvQbOMZE6UZlRiH69CUFaR0ijaR+CigrkJhippmwom6KTFx+Deiwfgy0dvwvmntMfd0+fhwRkforyUk7NJAjRrKhjHufu6yGlqxYoL1nHBPK4zjluV3aw+VaNM/3798Mvixcaz1UGA5fqqrXc5Tm2kGbolTxubdeOX07bmcSOxkWtERVrKJbZeWLX5euXeZwEYcYz+F12KLSuX2c5pClGObUavGimRsmyr71hXSrrcHGhXFuWjsrQIB377ANlnjUGQiPBI4SdBtpAeIrKL68o6y/HC3Fa9fj5DcZu1FYqrVt+MunmlTNBSLBE7rCcau6vJEqH9rrmPS4K08xo3xNcbdzF+DnIv5t9HJTpnZ6K4tIwDFVJ4VVfBFaiCB0FcNuxizJv7PkilKdM9quwWbqz5+w/88MFsxlYuq2T5jdKrZBmW7L8eN0+1IwjROHGaquRKJtmhmUupsDiqtmOSYelt0A6MZcMyRFRbe7Zac63u4uHvS9u7di2pTflL00tG34QqeheG1cdU+kqw3b5DB6xdt05ciJ0UjS/XT0/BgbxCmwbCvHgmvoVCjOmZSh65m2uNmVu0+W8FwWokCc6XGr9BR7WfU+/vOnGLtuxTtKms6v2b9ZT+gxGflBz5UigMgoB2VYXR59Gyh+K3dcFa398ACOp7tBOj6qErkmlczp99za34a9F3qKwKCCI0spryqljI5f5iiHF78Mr01/HyK69i5+69XD6SxGiGyzJfxwnSJEkat75yWcuLM7p2wAV9u2Li+9+yZUaM5vHwSnKmnIpK6Vo5+ZliHWe/64zlFlu5ZCOXlmSa9xopYDtmJuPpUzrhkibZmLFnN57cvhU7qsstedMX7WHEZX5Zozxqni0TvwBfJ6esxvhYZcRnTFb14p/SItyzfj3iY/x4oW83ZCTHaSCbSM+4USg2Ppa93mNllVYar/KQC3uP5mFA9w5o1LBBWOpZ5n3pkDvbiNPWcmnLGG0CwvsPHsbo667Hz4t/wUVDh9bhQ4jENi4Hc5NU6uChI8ySPWfOHA6ydQWtRt4rx8voKGnRVtuUlxOwij4pkK24HNTYrBOq2UG2lFmlSKQrV52K9TnqY3CYXODUnzrzNcn59PR0TH/9dYwZcxP2Hzhg9RWGZCQJ0mrqtGosth4zTFa0Z7QJ4tSePTFi+HDcPHYsAoFqq98zU2y6HNfpVy/HSl1lLEG2XKa2QCX3qOCLEZdJruN+smg7eC7YFcTWbtZyOAM9lZ69erGUy7fcOg5/LV0K/K+BttsdqoF13AFE+yJXyfZoxVOTQOMmoB1Srt5+D1smYciyTGtM4lYVxGYWyBbg2mJtpE4qxo952/bgt/1H8PrwgUhKimcxLawSwI4WFuyoaLj90QxkL1q1GZ//vgKvPXQbW0eWE0Z85giywxnHrYHE5cHCn37GVddci9tuvx33TZjArI/6IKc+dIc0WlY6LxO86um5gjWAa7V9OJCW24VXme/XuYYROUmCpxrShBksxHKdBrBlJ8gUYzTgAvh03nsG5mMaKs0VpOYSIa2ArBHAdl3KM+99jnEvvIMRj0zDsIdexCUPvYhrpszA61/+iM279qNhaiLemzAaj1xxDtJio0SKL8VGLpclwGbzEkxUVSHK62XAOmStq0ZFZRUT8Bm4CFSjV8sczLvvWpzevhmGT3wV2/cdZGnFFNgOaFMJtgNWRygBttVhmkOBTRQN/+2cc87G999/b7lV8+eopmGg2tjCeE3GdmyVBowNMG0Ad8VGboDwmsC2Aexd4Sm/rPahDwCKtIbWR8fE4vM3X2JKC8dr1K9JqEN10KkGU1N7LsG2uZ0k3gAOL/+Oge6mF09gwhMpYVwev+b+qsVmO46LdhW7yTAuqwW+GV9B7d9CMBAIe6uWkKQp1eQycWsQNGdkb6KvUl5PPFUZWYf6Zqbj1z0HEeXxcKBdWc2+A/oeMpIScOBILmfdZ3Ha1OarcOXwofjoo4+YOy2BbUYuJNzHqV5+3RhsWLEUxblHrFQ6UYLtl8A1KbjYVK7zeiyw7bfAtmApt1V+LgWyFeDWmaf1KhU9NnZx4zsKZxQ3QFtNINvhewtr57a261T0kCJqH1vWrsY3H75nCSpOYFu2OcplWlAgQLQBsJXg3Ty7PnYeytUEcMXGLS+KnjmBOq/4Fr7ad9D4lipD0qINlIcCLMwsrD1GiNl2FoyVBcXaTljRayr2sUVPGyjftZXmS2cdB5DZIAeFx47WOAb5/H5UU2YKrVAYCXlwOL03AyAYMoQtdacct208ERYbeTCEwvxjWPTJXJ5bmxjIGQu5Yh+3WMhJQSeO4fVH48WXX2Gs0aXlROypy0ZmailrmYC0AN0uOe/x4PLBfUE9zfzfVnDWbMsd2hsOttk8N/YQGOdGH511XEv75ZAeTIYaMrmSeUTyabuMZEzp0RE3tWmOb48exv2bN+LHomOo9Lm43EkyZ6xPVDXvj5PrfPDF8WW9HnZX4/0jB3D3pg3YVFaCF/p0xfA2TRAVGwVvLI+/JhlWsouTUSg6nstB7/25ismnAY8XN06bi9joKDRuUI+DbJl+VgfXThZsacWWpGdalhyyNX719TcYM2YM7rzrbjz11NMsfVbtRYE845vXALae2vbmW27Fiy++iKRkHkoqDUx6G+ZyMf/uiauHgLVSHnEOHwqp0+XoOoNsSdAZBm7NPk6BbAXWlEJSIyF0eCJ2YG4qxaXXifpW9WVr3gYQadq0aVO88uqruOGGG3Dg0CGNcM4QREyLhfGeIhXNuOLUwWs+TXw7E2wPu3gozjv3bIwdcyMLMZMpN/VxMRx0awYQm+zH+0otC424dK/AC5/MfVe/aoYXyOpv3o+2JG/FEonMMFwnxQYzFmTnYP78+Zj28iv4888l/1vXcbffK6xi4oKEfwSfSiuIaBSGy7i9yv3VnUpzPpFRUAcoCwELcmuijs8SEpirOHe5oZhszghJLjfSiu42CNDg8+L5fzcgISYaz15wOu+0mAWbp/AKdxePwt9b9+CNr37GB88+BF9srCCSULHZes5sBbIFS6MWm00dyKTJk1BUXIyPPvkEMbGxFnhWHUn4h+P0MRnCgoMWzdDOhP3uoLnRGprZDGtOUSCwgyPzrfW7w7pIx3O6HqLkp3L2BRcb+1lgoA4lIrCzNhA3aXMjj2SR1Ev/Tq3QMC0ZWckJzO1LNwnq18dSfElrMlmWmZaCu44ztzL2PSlwY70Bipkmy15VNf8uiCWZhE0C0mTBo2MQR4HHgyFdWqF9ThbGvTYPN5zbDxf27SZvS0z5oOai2Lygh53bpbmPM3ZyGZfNH4RtKp8Tn3JXcqBRTjYOHDjA0kyQaxDzBpCuiVZskOgjaorVpolg45XnMLavixu5eJ9yk0hu5NLx1wAX4me5i84YrLuQc9fWEHx+Hzr16YdNy5egzSl9+a/CNUsHMOrmbGOVVDDpAMXBss3isUlgFd9CbFYLHPj9Q9Q/YxRnFheju26Z5m0n/KOWuSWNGE7rurRnbv3MZ5gnWC2FhFoC2+qlSqGIu+lbFlFxbXTp9d1RjNSylSfGSlHIAbayaJMo1zAuFruKSrhbJoFsAtuVVaifkoC1uw4iWFkOT1QMXEFKpVfNmJlHXHwRPvzgA1x+1TUg7k5iRibFIbEkkwJr8iszsWPHdhzevQ2ZjVsYHZOhdWfWacHErBPUaQRgxmPWxjJJfGUxvGtN1ug3xUxt7uImmDbPW1dLtnENdsVThO3VeKHuuXHrdlj46VwhnOqs5M7CCV0XA112wU8I3s2y62Pb/sM4vXWOUAKYWjNaZH1fgKeWojKQsn5oko/edstCQcTYgLb8WedB0e9PLdltJmod47+opVjfvdbHWXsx93cRTiGfvex7SAD1e7Hgg1loewrPEe/4PhyGPgLZYW7tep+jCeryWVnnFVdMruz0Lgkks7buVrHa7BsIuHD6xVfhw+cfYVk52PchfidOHapujYGcH5tfLKXYuXXceEx48CG8/OJUq9+SAjlTWNKOsgHRATw0LnHFm0pHGcKUMSNxzZTX0SAtGf3aN9e+FWc3ct11HxSLrcdtM9fxIK+kiBZSfoh4iMiVXIa0UG506n8olIT1TW409sbj/i7tUFxeiZ8PHsET27Yi2u1Gm4QEtI6PQ5OYWMR7vUz5o95diLXNw5UVOFRegb3lZdhYdBzHA9XIionG2TlZGNO5JXwM7HOOITdLNcvT0FpkvQJshwTz9rDTugJ+P+6c8QmGnXkqlm3exYGylTJNemDaQhy1tF464NbDHynbw8OPPMKAzMeffsb6VxbGURcRzPqOnayparCkV37HXXdj9HXXMQIta7yQgNMu/xqA2wTBXr8PVVXVRl9Uq7u4zYKte1YqkB3eU1irpBChhcLK29X7GUu8sbmYy++aj5GcuZ89YxnmRv2FWJbPi+0jfcpFX9O8eXMWs33dddezWOL0tHQlB2n7Wn2a/ltNxWkbXbaygvLkKM/PIfcYdvHFTEYYc8MNeHPmTJbNgG8t99LRgTnP3rcl52lNx3aJEi+cc9El6vFL4wF9x/p70absFrRXaHCgWfeky5jqnAlJSXjvvfewfft2/E+BNn3szCqnC3ZaXKABtDVgzbZhfaoNcButFSgKVCOZ8lf7aADm68iaQe7jpE3k36YE2jLlAo/NptQL0lIuSdDcfg+KggE8vHgZzm3TFCO6t+bAmsViS5DtD4vJXrZtH6YQkcQzDyAmPh7wqjRekUG2GdtC7uLrNmzChPsfwHXXX4+hFxNgdIV1HnZ2xIig23E7m2Y+zKrgvI8E0nrblfurdSZzcXj/yWNX+ZymMBMH0Ncp26HtOHC4BjGtEFr77CZNjU4uOTUV+XnH6gy2ayr2+GwJthkTeC3llJaNhHU4gBCBYU2qMXSZ7CVzkE3mQQm2OdDmrgEKaCsJMO94GVJiiGG2ylIuMcteRSVbRx4RRMbCPiy3B9kpCfjo/utw3Utz0SA9GT3aNFc0XgxkczZyBrJljIBLi9EWgNpiHBfAVo8/soCaNj3ttD74/fff0f/MM3U8a3ViCAO+YgMjLt56IeZv1jrxKPXjshXaNnDelxYZu6y8JxGfLWMVFSO5tqwRoFkgWzwLpo8PuXDelTeispJnSrCAkI0dUzV/fuHWeBwGYJTgYJAiin6TYrOplB7ajkbnjrPaiycmEdWlRWYfbCFmo6FzciE5qlht0w6yw795stDWVki5yYF2eNH7I71/akaEaNVlaOknoK0GRMlCzoB1IIiB2Vn4avteJDMSIkr/VQ13VTVifF4kx8Vg8bJVGETxv6TQ8vC89deMHIbzLrsaIy69FJ6YeHhdYMpaIugMeoBoeJCSmIipt43BbZOnIrV+jnpUlmadA2wLdIu0axJo61YG651aoFN89lbsl/YqNG8L2ytS/apcEabJ15U4akdnkK252RneFqpv1ttuzVYN7T0CiE9MwqChl6k2Ku9bj83X3ntOTjb27tuPJg3rwRWWU9uNVk2yseTftZxnQvtdKSRciPF6UVYdQCX1WwTeYgTjuDhHImUmCVWzBSJP5aDevG77Z2Efd9QTk8Kf+RzJnbi2onNBqInGIC4yHSgvB67YpU39viimVNMfj32ALi3KR2wid6uVxUtWbi3VpHHPmjXPtLFJViZBisYyMfF4ayJEI0DJvAuJWZwRowVZON+VD0zB6r9+Q/fT+hFu5dapAGf4lxRZVl/IYsjp+C6cOfgsLF68GD8s/BFnDx4AF1m0xYfCSTMFISetYzHYwTAwTtdLvJBv3ns9Rj72CtKT4tE+O1Oq9qyBgQETqTAVoJqBaIrBZjHaIjabkfUS0A4wxnEGrmmZ+h/K2mERNPJK4yYpARnYZuA7hGSfB0Njc3BR02wUlFdiU0ERNhYW44fcoygmxaCtA6AxvEFsNOrHxqB1WhIuadkIiSSDksHI8AaVbuw8zSxNyTCkwHYUysWdN8+uh4lzv0OHFo0x4qwz8OwH3+FY0XEVly3zl0t3fQqr0D0vmcu4ANuaJXv/gYPMHfmWcbdiyJBzFGiVIK+WwsnNZHMzRkS1zuVi7uLE5XDhhRfaxgvdG0MDvWJdfl4eUtPSDEBNbuMUp6sDZieQrY4jLcVaKJddDrcRYIbJzpYcI+KNmawkQLeNEE3fxxqOmWwhYrXld+qQisqS6WXf5gAcW7ZsicmTJ+ORRx7F669P11CkPhjZ5KTa36TzOgm2xbzMtaC+PsVMfvGFFzJlzXWjr8XMt9+GnzyHxbVIHhAnoY+nZxX9VA2k6eTJQKVRk6bG+tTUNIYXwu9HjQ8yJl4H2Rbotow+EiSYl+jxetG2Xbv/PdAOErAQKnsdKIeB72AkcK0DcNV4SJNaVF2NZOpI/MKiTcH+Xg/yq6sYmZl0JZMgWwJsBbSlNZu7/lD6rqlL1+GRgT3RsVE9BqoZY6MGsFkKLwG0CWT/vn4HXvjoO8x/+n4kJidbVmzLXTwSyNbjWuDCO7PfxQ8LFmLmW28hs14Ws6iEuYbUArD37t2DOW+9iauuvxENsxvVDLxrBNc2Lb4uWOtCv44Pa/oKxXmU660GrnVhUMsXKou+jVPnJQvFVlDx+03iM0qDUpCXF/Hq6mKNNu/FCWzXoTB3bFI6aZp4gXaMe7GAtqjMhVsM3sKqzfNrq4cQCAaRV1KG1Bg/ApUkeHGpjFxZc4spbruakZ2RJZoJMsT6xLgMvHh57HBGFPXxY7cgIT5eA9n8fEpwETHZrIYDbvNBKFiofufv9fKRI/HEk1MY0Nb7fPMRK6UMf0nOYNvJ6i378v179uC9d2Zi1HU3sG/BOo7WdqRQbgfbnNmXv1wuhDmToclle/oJBbJFDlxXCD6vF3Oem4iBI65GVpOWtvarTOQyZ7chPGtNQ4EV/XtV6+hPQAjRqe37we2LtlhtvQS0y4qsYzhhbOtyBNg2307NIJsKuUPXVliYR4UU9MNbgF3wp2lTTzS+qshVCkdtjGCEaMKy3SkliQGsFL8PwaoAs9xRpXEhPSkOs7/5GQNPO4WHU7A+2gd/lB/XXH4pZs+ejZtuGccBtmElcTGW1kenvoZfF32Ps0deawEEC2RbeW75MikcKF6drHx6PnT9XRlCIbNAhPdrrEk6PFI7o7gy6qr1EnAXHTmAld/OR9fzLkdSZgNHd/EwkK2FR9Stg3MqwnuNFIFHj6g82rpwoimP5DNp0bIlNm/bhibZWSrFjwaoW+Q0wPYDR4xUQiYgB+L9PpZLm6ypVCjMTG/tiR4vU6pbz9P2Pmor4VlU5XpVZDhTjUVelubZI/sR1g9oVm2rvbHXwvuIWya9YHjD6DpF8hwqLSpAbJIgiRLtzuOPRnnpMdE921xRNU8Zex+l3xtvGrKfoimRg3EgLfN5s+oOYf3yv1Fechx9h5wv2MmDzBWU9mHkdvYwGvFYHnz4EYwcMQy9T+2J5IR406INfUwiMk9OeCY5ReT4QW0rLi4Ob08Yg6ueeB0TrzwPXy1ZhZuGnIqcVGI35g+Wp1NTubPJak2WcgawXQSw+TqWBjPALdgcXIsxWVOG86wIQbhZWAvvo9zaer59COlRXpyWGIPTkGm9C7tuQxqKeIYQoUwSOboZyGZTxWukgDZZtfX0s1EsXp7KwpWb0aJRQ9xy6fmALwrpKUkMaEMH2Xqoo0eTXa1sOYogjVrGug0bcM8992LaK68yS6khm0bo18I/Kl3t7Lw89YUXERcfzwB9mMxqyLcmyCbPPgLaJA/qoJrCCo/n5oa5mxtA3cHYZbdoy75MB97yOzTGTXlfGg5TlSv09W/MUr7JXNuW3Ckgn41Ik28i8JZN3uGGB4XY9+zdg5kzZuCmsTcxgsnly1fglO7dtR7kvxZdrtItINp9GWDbhMwXnHsOi6W+9uqr8c7s2YiOibN2VtldzANaygdmjQ+FY4eQCbT11L/0U0pqKvIIL9i7dzGVj1B/dxzUa6Rp1nk0C6J+nND/OkabUl4xYKsYEiXBmbImu03yM3s1NHYyZtuDUpE2KJVipS3Xbx4zVxEMGsQUkvjMHj8jU3e5ozx4d9NOvLNmG2YMH4hOTeqLWGyuCZQaQU4gweOxqf60Zite/nQB5j/zAJJSUlinJRnGZY0ck807qqLjJbh+zFgcy8vHvHnzkSFAthEnHUYg5hSDHcLH8+di986dbFrbtjLGyjiXFW+lnVcnPDFisWQlYZJbb/ILCrDyn6XMXU/97hy/ZcVoWecLOcZuRyJOMzsooKyslLU5nyS2EDUlNQ15x6gjteFbrbjqWOVHaydDqwtYZ4CZhHsiK7PirmW8daWqtI5VcvkmkBAQgIGm3A1Wxp2StS5QWYVjhcf5vUaTRbuaxeCRyyylsyth7Ms8VjVEJFTkMlOtiM9SY6Nx/6Vn4b4ZH/OYQuG2bsVkW0RoZpy2dM3TFQaRexH1W+OcHBw7dozlMJbP0xBPdUHTHm9jf+7WYKTFXovDfPbRPOzZtROffTAvDFhY29nPpR1bAicm9FkxkyoWiMVM6oKvJiTStqXFRdi88h8lALuAARdfgZ8+fs9oN6bwqsfWyuVwoKPAmg24iWlAMGlGpTYwXo0nNgnVpYVmPLdj1b8R7QAOINsU0LkbW23Fa1n6HKwW4Wdl50hwe1n6RmXFl83SBNxl5NFB6f48bv4N0bdTxYF2NX1DgQAOHTqKUDWRE1KsNhGjVWPkJRcx/oDC/DwGFsiFXLKPkxsyxVs3ysnBZdfcgDkvPIk9m9ezY7KYbUGQFuVzI9rHY7clQZokTlMkaRSbrYjQ6lLNOG2dNE0H+2q9Is7i7Wn9z1+i4NBerPvpi3BLtv7pOVm78d9lrOLCQvzy7RfIJ6JKszkZylv5rlu1aoWtW7cZVmx+sTwm1E/unhTnL26WAxEljNN6Sul2vKoa5cJzgt6RfjdJNPbas0Dol1+rMKRAgLRn25+Vx6tC2iIVq++wvne+bHhHiNhsBbLVu/3ps7koLsx3DMsqKebfemxSqgF6GEEapcHUBHwjhlQPS3GIzbbyP+vjOlm0KRZbIz5jY30ghHNGj8NfC79BBSk+gkFUBkNMAUIx21we4PJGteCRkZW4LSY88AAefvSxcD4bK3aby1LSqCGJz2TctozXzkxLwRt3X4vRU+dg3e4DeP/Xf4UFV5GcsXkjFlvEYzNDDJ9acdlsmYNat/GbXCYDDSfV9cppjA+l7hDWFhXDE+NRMdmME4jIzfg2VFXcNlU//Fa8tp/XWD98FINNleKyBX+Qxya3SvJeZtEWyOt4RRUevG4Ek1cpJjsjNQVHC4qszDgWyPbUArKFZfuX337Hgw8+hNlz3kOz5s1NQltLXqtLT2Jpm8PI0MorK/HkU08zYuD7778/HKQalmgTZFPbLSjIZ+tT09INr7Do6BiW4su6Vh24y2MKkG19AzrItruma2B/z45tWPzdl9i1bavFO8L7FuXZZB+7zbS9pidpmHLduj+bosF2/WFKCHH+ue+/jx07dzB35kcnTmSW7QCT7/7XRRMo5ABA76SwAH8tXSY8PZWMSWGOEPODB56J8eNuxTVXXcXIg53I0FT8ts5vIscxkyhNzpSXc7wQFR1jXGlKWjrDC473YH+GttsKeze6fKT/5vofA21PXIwFlC0NnMYyzkG2jfhMIzbTq4xBod9pvijEB0my4um5r9Oi/SiorrJSdOkA22AZj+GuNYUI4I7F/yA62o/XRwxAWkqCIpAQuQZlTDazZAt28d/W78AbX/yIeU8/wFzjZHzLq3M/Q8+LrsLydZs0psxwAg9yG9+xczcuu3wUcxW/6557mBChd1CKfKwW0CzWXXHtDeh6Si9ccc0Nkbe14ks0YjKLCE07ngGEFSAmsG2QmGiA+pkH7sK701/CP3/+bhuITdBtsI7qQF67DkmuZg3yBmlaOPA+dpR/HKnpPBG9adG2u4LwogMd66OsqRr7KWbguljxmLbTIjKrNknN2LIibpLzAX09A8sCdFcSwFagO7eAg9ZkP1m0JQlUFdLiopF7vFQdg4F3DjZoyq3l1TijXVMGLlZt2y2AtUgnxnpw6bIugXY4sJa5TK2ehN1wCNPffAu9+w/Cin9Xim34TyMvu5R17rq+Osxd1QFQ1wS27b+NuvYGdO/ZC6NG36CBaa3TtSlKDKI0fX0dwLYCO2r66mP34pO3XsH6ZUssENSsTXv06D847Lot1kzjnGqjSICbP2YtpEZ06tXHC9hv/pT6hihNFu1AWZEBdMzB2aaBt+lPnEC2XbESSyE7tRR/nBzczH3NAUrE00mCtBAQ63LjOIFt+bvu+SQs2nmlXFN9sJBY9SmVDlcupcfHILfwOK4c0BPvffszQICc3McZJ0IVvK4gJj00AQ/cfz9jI+dgW7CPe1yMvZpXN6695Xa88/zjKDxCxGuKhVxnJjfI0LxurPh6Lt4ePxxHtlFuexfLb8/J0ATo9tQAtCNVjRhNB9wmKHOh27kj0bBNVzaVbY+3OatlOYNsjWGfNz1bA6yjsfu1SffhwO4d+GPR9+I92wiAbEJK0yZNsX3nLiFqSJCtC+BuxMVEoYSYxO2u4+JmkqOjUFhZhXzhOZHq9xmH4RZt4rPgz8oOuevWo8ttDTOG1s45y3NNhVl2NSHQVDA6EfyY76eysgLHDu1XQqR2eSX5eWw2NjHZcGsl4E0u5YbCSiNFtZOf6TKBOaYLgC0BMynYRVw8gWgC08yjwOPDDZNfxvrlS1FRFcDn787ETUMHYd2qf/m2hkJeyT5Ue592OruHJX8vtdyVDWIuHYB7OEs5yVccYHOgKOebZtfHB4/eip2Hj6Fn2+aciZxVAbgtcjMfJziTgFqsY+7YNdUos+ou3HLdpL/W4q1127A8r1AAYQnC/QpkCzJeBqSJ2IyRm9FylFgXBR8jPaMaLaYEtKPDwDYZhqRxaPZPpPgF7r92ODcWEdD2+pGWmoJj+UUaAZpmrY4IsnmubCI9I0bl9+d9gNSM9HBiXtF26mTGk7HelvWCexZ9+vnnGHrxJWjTpg2eefZZ7iZteKDYlEQGCOXLR4V8SIYXHVBLYGX36rCzh4eRENsAuFx3YO8evDL5IRQcy8UfP36P0uPHsXPrJuzauhkPj70aebmc5Voe95M5M3HdhQOwYc1KzXoeDtqMjlKzpFrilgMAN0wfdoUmQrj+hhvRq9epuOGGG5GRkYnBZ52F99573zQv6VYJ2cGEdTYRiv2Vm9p53HrXBDz70qv45bc/NMONYiN3ifl+p5+O28aPx23jxzELuBMZmgm2RUYYjZDWLl/K90AM7C676/ixY86KDW1qv82w8N0wwK15OtThU2CfQ902A/xpaSazuLRu66BbkJGpNAmeWgA3nxaJoTE1Nkr97vMgLTYaxyhvJKX0sljGOdjmzJCiY4v246cDR3DPz8txx+ndMLpPJ/iooyJNIHVWIiWCtGRzV3EOsv/ctBPTPvkB7z81QcRkkxWbW7KPHCtgOYOLSsqMNBQqRQWPzf719z8w7o478caMGTi1dx8H8KizidcMsGWlTuO6m8chJT29doAtmMmlNdm0ZkvrNc+LqwNrO8DWAXXvAUPYYNyoecswrbc1QNvAtXEOG+DWz8ct7uEMqFIDmHvkMGsPaRkZhobeCWg7WRPrUuxgW6ZiIYtXrcUXqwC0SMmlALNTFYBZYxbXAbM6VjWOFnKgneL3WgCdakZsNI4UlXDAbu0TsIFtDqLvuWQgXvh4gQDWqsPjbupyXrdsR3IRENsghCNHjjLit6KiYm20COGSi4fi66++Qnl5mXKTtoFc6yGfJNhOz0jHjbeMR0ZGhs1aLYCIBZ4dALd2TKujjgC2ZYy+PfUEfQv0XJq0aGW5U1Kt36gZlnz3uQGQdLAtp0a706zsYc/IoVQez+dNLj7VAMw8RpsYnc3X5TivWbCNwdoGsu3NID2hdob/pPqZYSc1Nfym4CS/80aeaOysFnlQ7UBb1PwyDqy25BWwNs5qdQAZcTE4XFCM/u2a4aflaxCkOHYC2cKiTbVnl46on5WJb776krm9Eshm7OOUJkkD3WmpqXj0+deQkpyMQHkpt3gT+SD7nQC2SOklgDnNlxYcYwQvgfISzkIuj22A6giWbgeLdriFW1mzdXZymo9LTsWpw65FfEqaamNa26sVZOthDLoF3MZwHqn0PPMs1G/UBL0HDjHbk9YCdMtNw+wc7N9/wHaBmpWLSKSaZGPz3sOccIy5jpvbpsdFI7+8ArnlXPGSFhWloVkXkjTXcSKgqhaWHMPyUWMxNzDjBvnNJNU3lb5OhZQupneO86nNd6X2adqmvRFvrV/R8ULeD8RQjLZmNYtJTkNpQa4IKdFJFRWAkGOzlTWETeV6Za2WYFuCa1arqQZZZWCb5oMhHNizE5+//SoTcum9FRYVcZAtPODscoEc7x9+dCImP/EkKmi8kgzXdvZrMc+5SOwWbTn1oWub5vjj1Ucx8/s/MPeXFRxYWmBbVAa0BVBmjOKiynkJpqUluzbQzZZ5SthBrXLYB9q6XhoPSzTSxUoDDwfWHDALOZQBaLEuRoFsBrhjNMAt9uEWbQLZHGx/8McqLNtCyiugfr1MnnaWyNG8fqSnpeJofoGV0ksCastrwMld3OXGnPfex5dffYW3Z81BdEyMo3wqxwU7x4TjF8XeowLYi376iXEVbd++A599/jkuvuQS7kFSo8u4zaorlvOOcRmQ5EEdVKdn1kPukSO87Tswjyv52y5zmwA8EAhix+YNeP2piRh88WWIT07FpTeMw9nDr8DpQ85HoxatMPrO+/HSxPsEMSm/vvzco3CT52FxsdWL6MDMGmOdcKs+lS7str5Uzujzckoy0vjbbkdGJh+Pb7rpJnzyySfIJXlZ6/ANfx1tEAhnKq+pmCCbnvL5QwaxUI+2rVuydRbYNgw3ISZPntnvDPTo3g0vTp0aId0XB9tc1gq3btszdBw9coRdDr1/q/0xizb3gK3xHrQlE1TbZRd7uxSjRB2+hf8GtCOm9FIWaR00m5Zuc5tiMUimxkUrN3S/G5lx0SgPBFFByk2ZwstI7+VFQTCAu39Zji0FxZg18iwWj62s2GZKBJkfW4LsZVv24Pn53+L9KRMQl5AoLNkyJYIPk+67Hd/Nn4UzzzhduOCYaSho/t258zDr3XfxwYcfokF2jmbBtoHssPlIoLtuYFzX8hlu6WFguw7AmkhkqgPYu3snlv7xC3IpzYjHg5zmLfHhrBkMUM94/gm8/8Y0rPj7DxQWF+HQwQNsH0Mr7gC8LfdxS5NupiazC/d0L7lHD7MGnJyarmG/ENNgFjiQoUVq6q4aKvvdIWcfCdO1Fl8MA80WsNYs1uTqbVUC31V293AFnon8hlu2BUivqsaxYu4Gk+zzGiA9PSYKZVXVKC4pU+7nwh1dWrRlGq9G6UmI9vmwbd8hzWVccx/Xlw2rtix8nZ5b+7EH7sU3n36IM8/gTNuyAXo9HlxNcTdvv+0Iko33UFewbQBvuwu2uV2YlrOWY9fkRi6nvJNXoHvQRcMxecZcpGXWE9ZHvm9GVgP8/tVHCBATvPinXH7N67baqXGfcsCwoR6tVBWTUOGCLzbJUIR7yXW8rCjcwhBRy2p+aE4g26YmR2ZiXYC2HNzMe3A4nLJoEwDz+LGLgLZuybADbRF7dbC4jMdNCot2ZnwMSiurUFpaij7tmuPnpSs5Gz+B7CCx8vPc2g/fcwdmzpzJLBLcfVyrBKDd3LKdnZ2NgqOH8Oy9t8ATDKi0XQJsW1NRz73xLtz4/Gy06tHHcklnVm09zVdN1uyw1CZSuDDzLauUYM65l5WCyMmLpwaQbbNpm/1izYJD//OHYeg1Y7BuxT9GHKruACPfP/0hpuJKCqOxPgSV6ofHYrvRtkkONu45KNiOpUVbXTtTuJdV4FgFJyCkmH1ducWBNiel9LlcjEDVkiH1b6+ORdIXKcEUSGqQVet+FEZg74Pk03bs02zbntJvMBo2bu547JJCYdFmMdrKiyA2OZ2ls6soK7GRQOneY85W7ZrAtrJm88rcwxnY5gC813kjcPTgfpw18jo8MmMeOvTsq1J+0f66N5uWNjQxJQ1XXHklXn3tdUEgS3KUSC1lZW5RAFxZsfm2VuovlnPbi5TkJMx/bBz25BbgxpfnIb+00mLb5iDbCxe5hDOLtpjKeVv1kKVb/mYH13IbuS7ah2FdWmPWZWehflqi8JYUHEDC+MNTctndvoVMKkE2qwJkx9GUW7ItkC0MRdwDMxqzf16OX9ZuxbAz+7BvIDMzXeXL9vqQnp6G3PxCzhdkueMLuTUCyH7ltelYuXIVpr8xgxE8RZRDhWzrdmD1D/uGWGowYOGPPzJQ/ddff2PW7Nm45957tVzXNpBtWIDD48Ll8jFhbCEgZQFkBrQyWdhhSUmxta0TkDa8PrTfaN0v33+FKffcgsat2uLRV95B83YdzIw34oKatmyLR15+CyuW/IYNq1awfa+78wE8P+djdOtzhgGY9evXSzjYVgpxfk59u/CMCTVVeo8PPfwwJk16XIBok/fC0LTqQkqNJUylaskVlw8bii/mzkJWZromP5pGHJcma95y883YuXMnFv7wg4MnV+SUX6aBgo91xwReSCOmda2vJ7I8SZ5st2KHi0g2UK0D6lDk3/7nQNuXms7dxlmsix6LbatWPIxtvYNFWwLuwkA1u5AUAtrabyRQUcll7uPCki06Opffi6927cfdP/+DW3p3xD0DeyAuLsYijFCkZ4r4jANs0v5FYefRAjw261O8P+U+xCcmqnhsKx0CdeQ+JKekhKdFYPEsHsx46x38u2oVZr71DmLi4tnHHtk13Ak4nzjAtruIc7dslQMzHGxHAN7BEP7+fTFef3oSPpn9JjavXY2P33mDucVUVlajTZceGDJ8FC688nq27cCLRqBd916IT07D4QMH8O6rU/Hw2Cuxc9tm/Pj1Z/h94XcoKioyz2XPzemQ/9tuzaZ/Rw4dZBZ9Gvj0Bp6Umsqo/I8XFYW1T13IrEsxwLZW62TRjo4TwJqDaOn6HWbRFm7iDFzr6zQXcn4cEbNNruPFPHYlgdicZVw3WfFiOejZf6yIW7FtlbuOS7AdxNhzT8PMb3/V0ompeO2QA8jWQbWBusSIwRQfSUQ4w18G54Pk3dWlw4dh4aJF2LtnT7hAaQOaVi7ECIDYjHPULcQ1A267RS7SdYRbnZ3BttnZOy27WHzyoBFXYe/m9WE5IQ0gLfZXA4myxJvXFZ5qqbIoV1lzNABDFm16t8GKEvFO1ESlpXBye0JkkG0brjMSFblIpJLUQLdo69fgfF5Zs93R2Buo4IDA7jYuSALzyivZM2oQF40DhccFUVoQmcJdff/RPIweeCrmfLuY5dRm6fQYZwG5kFezGOsH7rkTL0+bxgjwGEuyW2rLBSimeTfQvFVrdOvdF0sXLwizQOvgmQNrNxISkzQ3cdN67Wzhlgoc1AGIqzZnhrvY/ukCh6YsNNteOMhW36Q9zEED4po1Vp5HL0SIZr1rTfqzhBjDciPJZWxWE0YG5UaLxg2x/cBRThIlLdrSIuZyISU2GnnlFThcVo6UKD98BLo00zsBbVLVl4aCLId2uUbGY6h/ahwbTBFW0ry5HD03nAu1C7tXgHW7lqLP9l41Zcj+HVvxzXtvimuWliZejxfksWcVFc8VblJpHZNMgi1QfOywcgnX5QJp3dYqG4sDAmBblmturZa1gmpVEOXVAZRX8VpGy2Kefr/s3iewf+9u5B3LE3HaPJ6bqvJe0w0B/LpHXDoSi3/9FQVFxSKXsowR1tKkatZuGbutx2vzKZfTfP5oPHjNxRhz4QBc/dxszFz4F6qpHZGl1+uHW4BuDrz9nARXJxqT1ZIvvRqw1rPU2C3bmlu5sY0ug6r1Bthm5Lxm3LWyXlOYYxTcGpdQ0OvDhFlfYnduAWY8cDMOFRQhIyUJ/hhKP6t4hNLT0piMVHC8zMF13HQXp3cyafITOJqbi2enTmXr6iKf1iXt45q1a3HhRUOxdOkyvPPOOyxNWArJ0jYLrQGybWDG+t3mFXUsN5cRfiXqSiey6mZyZRilHZUgW7mOO7uL6wB85dIlWLtiGe6eMs0WX+1cqa9q3bkrZk17hl+vC0hISAojyNS/Yz3ExrHrqUPh+9sfpPijLffq1QvHjx/Hjh07xEqbVdsVyaqtF325tv5TWa3tin2wdZz4kOapDb34wlS8/PI0FBUW8n5RkxHtYJuPbeEGFSqHDx5k8fqUelUvZJijb6G4yOb553Tl9nboZMF2CAP43wPt5FRm5eQAWpBOOFUGrOVUuIdTFcDbDrLpt8LqaiTRACpdwln1ollaEjv3nrJyq/OjDmtDQTFuWvA3iqoDeJes2I2zbLmxhUaSdZYErP0WWQSB7MKKKtwy9R3MfPR2xi4utYGSpdFkF7e5NjGtuxvTZ8zE5i1b8PzUF0Q8tgOo1jRqZpyIemmGS7mxjLq5iEsrtZ2ITAO4cvAlt5pP58zEQzddiZKSEub2deaFw3Hu5aPRrENnjH34KVxw5Y1ITq+H1HoNUb9xc6Rk1GfHbdCkJdp06Ymc5q2R3bwVxk96Do+9/j4aNmuJZm07IffoEcyfMQ35ubn46J032LkssC3vX78mvfPTOiL6Q4QTOU2bm98p+3C4UBFO2R9ewroLmzDptA2VusRou6LiLTAt46i5RdqM0dZjrM3YbR6bbYBtQZBGqb0onRE9dGW5DqBJYjw797YjeVZ8tlUDsgr38EAAXZs2xIbdB1BSWq5I0WRaMTvqMZGXKsaiJkHbOlFyKX9x6vO48667OLu57T3UaGm2CaG6Nc6y5OkW4JoAt91LIcyKZGpFTWuhzY1cJ6SyOn9tABDAqc+Q8+GL8uPA9i2Giy+zjDNQ5wDYjZjcyG72VMpz98HtD7cse2N430hWbadivEqHAdwJZNubREadLNqZEbTztiZmE1JiXdyTybIwaFkqJPN4QUUlGxd618/Akj2HrVQ7TcW4sHXfEWQlx6Gc3IqP5XGAzSonCKR2f/qpPbFhw3pm1WZgm8XSKkZl5cUAXHT51ejR5wwLiEsQbvdy0AF1OGAOdxl3evd1qbqCxrFqIC382E7fmTlvHFv7XrkMZnJZ6L1lakYm0uuZFl4Fqs1lqsTyfvDwYcFIq3+cHEw3aZCFXYdyrbHVYmUWzMzkLUBtZGdRCRrFxwqcrmK4CWhTofYU5/KwfMV6CQPcjsXJvq/2qAvQpvZg9EFW/yT7JL1v0ZRy4rfUjHooyD0SdqH0DEsKKbVXspVnl9NuhJBYn2dhKNi/2/Iss0C1tl1AB9iS4FRYrquFW7gE1+TWTfHXDFRXEilhAGWVVKtRyqYEunmNScnAzCcfQEl5hY0UTSdiNQ0GJNDfdNNYvPHmzJqJ0SQIN1zIObiWVm7Lwu3x4dSObfDV0/cwduOLJr2BL5etZ7+Rp6K0+nIZ0C9it7Wqp9Kyu4trluhwEG1avY15/ThimQFs7Zg8G45+LM1ARGlno6JRUBVk2UR6tGuJSTddAU9UNDbvPYSWjbOFB6YfISa/epEheG1yC4o1kG2fetj7ufOuu5GUnIyHJz5mpZ91NhCZ6wjk1lbKy8vx/vvv4+GHH2bsz3ACnU7gRiqKdRdeG/Ah13FK9Ur9g75fk2bcG2TX9m2aVwc/Rk3u4mQgennSA2jfvRfGPvg4N/BIt3MHJbF+LbFxCcyCTbK0s6VUUxbY9tWtqCdaIoF/Q5YGmEw29YUXbAMHj8k3XX50kK0pRE/0omxgm1m14QS8Q4jy+/HgAw9g8uOTTCOI0VeaYNvJ+3HHti1o2ryFUh6IQuCbigw1CLvcSA9eb6eG/GLz4GLfwv8YaHtTUiNbq42qg2yKhTEBt85OLnNeE+FZCnU2RI6mAfF6SbFI8Puw63gp66QoR+FtC//GZ1v2YOr5fXHjaZ0QHRttpD5QKbxE50maTAG2CWSTpvP6p2fiqfHXolF2Q55rkDSeGtOlSXwmyc9ErkGXBzPfns0Y/p597nkmPES2XNdm1dZcE8LcZpyPE+YibiM0s1u6CVB/9+kHWPDZhzi4fx/Sshpgwgsz4I2OQb/zh6FRyzZcuylcv2urZqw116o3aNIM51x2Na6580FExSWwGL5Xn3iIudTs3bWDpaKwg24Zqy1d3Oje16z4Bw+PvxFbN65j8bAqOltatNPYfH4eJz9wKk7dg5PSybCyarUuFm1XbHyYu7iyXldZ1YqxNqzZynodXgM4VlLGGcelpVrUtCgfEqJ82HqYgLYA4CJmNUhEUQyESMs2t2CP6NsVH/+ylFu1pcVbuo7TNmFWbJiEaLYhwCRK06zglM+zWTOcc/YQvPjii4ay1A5uw8Gv7EwdrNM2wK3chiIAbhv4CAPbGph3ck+yW7Yty7e+LNzDJYAm8JWWnokPpj3BBhQzNZRZFeiyxZQb1ng+Ldq9Hls+eBKlh3YgNrNpeH8cy70LGCGaYzFzs4tVNYJse8lMqjvQVvY383Q1VQ9cjLlYWt3sZGhEfpXs96FnvXQs2XvYSo1H3h2JMVHYvP8wcyW/rF93fPDDryxOOySBdpDHarsRwK1jbmD8GQS0TUBqEq/Ex8Xhh0/mYfuGtfx3CbKZpVm8b22dbr2unW3cPG+dqrsuxI7OVgDjG6oJZFvkfOGeJuy92sgjqVD/3q5rD4cWZxegee/domULbN26nZ2DpWqxLCpc6EtNSkTB8RJ+DczKrXknuVz492Au1ufmY0t+IZolxIn16iITycJN30ywGjEuN0oFuapedAVc7SUUNpfs4LlhL+TdEKbwM7xoTOWOfA9SoZeYmoaeA4YY1ym/0ZKCPCuHtuUWTmzeiWnwx8Yjf/9Ok0PF5iKuyM+EtVnkhmfs4tItnAA2A9lkyQ5qYFsCbQG2JfBmQDsTp543HBtW/mMxkEuQ7QTSZB085Gz8+eefKD5eKqzavCpyLhsAt4FqC2yLZSnHeaOicO35Z+LTybdj+6FjuGDi6/joj1VgwT3Sqs28G5VV2wLY0kBjs1jzmOwIVm3pVq6tc0d5raoDbuWOrh1HkqtZqbukxZ2T9f64dgeuePod3HflRRh5dn8s3bQTV02chjVbd6JtiyZGqCPV1HQuIx1l7uNeR5BNjPFjxt6Cbj164JZbx4twvtpkV2UEoj6ztnLqqaciMTHRsEwbX1YEkC03dFbU8u0p7paslabMDBbalZCYiB1bt6iwRNTsLk5pwh67dTTz2GT9k7adOn6Ef+LcI66/FbmHD5kW67r2MieLsiNOTTDYoUMHFBcXY/eePXyls7Y2slX7hLC2kxVbTyVryo00EpxxxunM6r565UpTQSxlvwgeVzSlrEi3jxmNjevWMY80+6VSG6ESOU7bpuCx3rWprLArgf5PLdreZBvQrrFKC7cE3rZ0CoKIQqZSKKiqQirFokh2SLE9dW7NUhKw4vAxnDrrS9z63Z+YOLgXnjzvNNRLTYTH73eMo7EAttBeWtpMcr9540OMOvdMdO/YlnfOGsGZYmrUXZZ0q7Ybn3z+BXMXf/qZ50RC9ZpAtvbRhlmxRUdmt2rbAbUEzfZ4aw1gy7hnyz07GMLu7dtQWl6O16Y8ygbVPoPPRYsOXdBrwDnwRkVbVmX9eJFIz+ys42HWdG0dPfdT+p+F+1+YgZYdu2H1sr8wYfQIBvR1DbvlAq/NL/r6M8a8SuC8cXOVn1h2XUR+QYVyade1RALUdiFILpNQXOsxYxNNS7YFsMNdw3XWcZ153L4s8wTnlZYjNdoviNJULDZJLs1TErHlaD5GzP4G18393pbvU+UBlUD6/J4d8MvqzTVYsOvS0es+UA7VOl4IN1x/Hfbu2Y33331XOSjZhHw7CVhkC3Q44NaBtwWCBeCWQNzUfJrCrgn2TUZgZ7AtwJgASAyUCaCl17SMeug9+HzsXPuvBq6E1VuCMRsTtfzNKQ6J6tHVi1lquPK8/YjJbIwgEX1pY6JHWLQjA231iiO+UzGvHBpUai9yu06IMV2xnEpSA0VA4jQqK/Clji0BWJbHj/3MfZy3L3uMdkFFFYvHTfP7kVdWboVIUNtumZmCTfuO4NzHXsf7i/7CzyvWIiQt2YIQjRj3adtBZ/bDsqXLrDZpkOdpcfk07d6nL37//ouwOH1u3das3Lr12B1uAZfr7S7gFuDWwKRTrcmi4OjFoSmo7GEMutJAzlvnkpxkDsovw+ahLW9btxqLvvxYe79KaWMXQqmQsLd67TrNii2qFpvLuAbYhUiLtrJsf7NpN7uX3cUlaJoYL65Z9Q1JBDIIaIcCiHd7UUr930kVecUua57m/LExiJFhM7XEaFs7hT1DmweP1Vep/o+IV6srKQ7d5WjRJiK8cKuaC0kNmiB//w789PRYLHnlPsNybdRqXqvltCqA6iqaBlFVFUAVmwZRURlglQC2DrJLKgLMol1aoSzb5VVBdBpwPqKTUrFnx3bBUE6x2oqBnFnZtbAxNoULY2+5BS9Om8ZJ0XSQLQ0bDmm/VIy2MJAwK7Wc58sEPuMSEnDvqIvw8eTbUVRehUuemInH5n2PbUfyBeD2m5XALbN0SxCuqvSM5EBZLtuBeLgsGuZe7hAXblnTpaVdC3F8e9FSfPTbCnzxzL04heRVnx8f//wXU4hs23MArZs3VV6YgqyXGKep5BYUKrlWgGx6xuSuP+rKq3Dh0Itw+RVXGqBaeh8EanAbp0ZXFysefZum4q0GS7a92r0cbevIQslTe5nHo6+oaYtW2L5lE24YcQHuvMG8PzvIzsvNhdfrwx2Tp6J1xy42sKX/i2QxVp3cOy9MMboQ+7hrF7XsGLnWciIim62Mvu46zJ//gTam2InRarNq28D3CV2sBNc6L5BkIedg/MnJk/Hwww+hvKzMZnwxZTRd9qOlr7/4FFUVldi9czuat2glrlp1sKnp0gM2El4I1SruGs/bsGzzdkHXWJcik6DWWnbnFeK2r39jF+B0bFof5fWgfkIssuJj0T4zFd3qp8Pv9QiGY2FhYZY07aqFbqO0OsDAtdRql1ZV4+cdB3C4pBx7i0pQLyGWxWplZySzQZilGGMx4TqAJ2AvQLbW8cp5illNTozH8LP6aVpRmR/bIcWERR7BLdk//fIrvvjyK7z1zizrY43sHq5p0JyIHmQMiUPHo8eWmBo5xZzIj6271fDfDuzZjRnPPMbSlI2+62GMe+xZ65zUgVpuLPZOSm9UEVxgqOhCGGvToj2wqQ0sMSKpSy7HgItG4NDePYw4YteWjbjwitHwR/nZSTgY4p/86Nvvw8IvPsKvC75FkxatrWuR7a20hDNyB0Q+1RMB2ZHuxWq/dSVCY6nuEnkua/HC9BzGYZZBCSBCEgyHDIBML1cCDX5vQRxn1vAAXO6gcKGk9h5Ci9REbDiSz74p5kJYTb8HEfKI48jzCK1hcmw0CkpK+XINw0XthQ9i7F0YQw93E+dH4fGJFHdz0823Ii4uDhdfMkx70C7WRkLsjyHLqhfFOhd1OuvUsqGJtmDtbm3nCttX/c4PRM/DynloHYAfl956MEQghF8Q3RWnctF2oMZMYwPbTXaySjEzaNgV2LtzG47u2YH0nGYIuoUrnojj9YZcCHpoHa8WyJagTdagC0GXC43PuhaHly9E/oY/UFVahIrcvYgWlm32DKo4aR4LCzAe5gkUgxTN/Ogz6sA4XleXWnYeXfAS52voicLe6gq09MfwHkAowSUxGuUBLSFmfVIyJSdga24h2sZEMe+NVvXSsG7fEUSREOvxICnRx/K5J0THilyeKocnvUsiDTp86BDS69UPU95I67En5ELr9p2wesUy/l5Em9DBKzUZKWSxnM9Bs31Yt0xtJMS/FmpPso+jv6qZhls/IrqziaIszU4g21Qiqe0iW7btAg2XqbQ4Yx0sipnS48WIjzetVQpw25mEga5du2H+vHniYBrItkC3CzlZGdibW4Ds+GhOkiZdx91u3Hl6F+zILcChPYfQPCnehmBdKBeu4nSuBLcHx0OBEzPEhD1dfT5UJ8ZxKvRNm+cVebnlu9DHSJs8K29p8ZcfofuAc8OOTd5LFaUl6jlLj4FQCEkNmyF35yYWi0zPn1zCmeWaTUUohhA29Ly/1lVa79nF+iupcK72UBhEkLnuV3n5tDpI3m8e1rdRkX0YvFGY89xEPPjqHKZYrGQKRuFBQinXCKCFaErfFZddBg4egtnvvIP9Bw4iOytTtAsP7wRI5hLjliQ/VY+Me0awdsI4SEgh47E8t1whMR8MIi7Bi5suGYIbLxqIZRu24ZWvfsWeI8cwsEsbXNirIxpnpihyUPaMqN/g47TuwSVDrmR6zJC+Tgh6st8yPmJLccaZuK3xnHU4HjG2e3hqMpHSrDIIPPjW50iIi8XMB8ayeG1SHhDQfvTWazH3u1/wxc9/om2rFsJQxHNmkwxbVMpzqtN7V5lxuIfAgcOHceONY/Dgw4/glJ69LFCty6mWrGmTS2WTqUtonbxvfUgx5UpTEWfhAJtcali3NRk6EAyg5LggPLPJzs1btcGGtavh81NmAndES3ZBfj4ev2MM7pz8PPPQMRSFNci/5j2qSWpGBo4dOYwMjfn6f1l0aeREy+mnn44Xpk5FaMJ9Vh+vwDb56FH/KQc21mPxPsHppI4PJlTzuhA/viGlSLmOSFcz0nH7bbfh0UcewbPPP88NHwLP6PiAXangCKDf7rrvQXz60QdY8N3XaNm6NZeLWB/rMvAC9Z1hV6XLoLZ7Fb22uYNNdqRJ7clPTwJot+rcBW8PHxR5A5cLFdXVOHS8DPsLj2PVgaOYtXIT+6lTVhq61c9Ap3opiPN5w1ijz23dGLd8+we+3rYfpdVV+HPPYfbR92+WjRt7tsOUxSuw+NbhSIyN4do/Ih1hacU0i7mYZx0Wm0qtJZ8uXrMFf67djNmT7xHaUEWuwRktJRmHEzOjF6vWrsWr09/Ae+/PZYx+UvvHPmKbVVvvqHSQbeWM1UC43X1GB8/KKh4OsBVIDzGmxR+//BS7t2/B1eMn4NZHn0ZiWoblNqaDe0dwbXOLYO2pBqQdCVzL36SmnrPyUX/nZe7l9Rs3YS42j40fjUnT58BLig4RuUcfESkH4pOS2Wnadu4aptT55uP5jLju1H5nnjDIrknxJDFaXQcRd0ISs15bg6x4iPZ2bQEZacUTMaaWFVpXQIk2MjgnC3fsWIENR/LQNj2ZdzQeDpw7ZaTg8427sOzm4UiMixbu4G4FsCVwF4M+PdtYvx+lZRWIozZvUwjUfrf8vAwcW61H9GasRdKbo3fMz0/LJFS9/toruO76GxkAGjp0qGpjGrjVOzirA1Y9pUMHxzt/C6DY9xc/smsxQLg4nRw5wjpYBbYlFLKDbX4YDUyJ6+DAnV9AyA3ExsZi+qN34/aXZsHj8iBIcmCIQLYbTPZjwBsIsNjtkBG/q1yY+WPwxyfAG5vAzpzcsgdKDm5FdGYz8axdyF/3E9xRcYhv2rVObbbGtyzbn7YuvQ7x2RJoi6FZG55cNYNsURu6/VhWXayEMPmdiHjtM9PT8eD6jdh4rADdM1KxdN9htGmQzkIpumZn4qPlG7Bl2r1ITU/F27/8i19XrMV5g/pxi7YA2dyqHWCZI3777VcMu3QkDx/QvB901m8CE30Hno1dm9Yjp1U78X64koZ1D6INhLUJOU/Ngd2HoguUz0d/Mhwq2b5A1tyc3fj1UheQXdM8D5+QxzIZvhV+tXmaaP1p45ZtmeVIvF6rDXHFgn1McSE5JRX5BQUG8y0J/4z4jDFMu9G5ZROs3bkf2Z1bamCEg21SGGYnxrHzdEhLhitgus4vKs5DnMuNLtHxTDFDQPu/FtV9uOqmTBJAW70kTUksnhF/B9SnSkWG3gL4F0Txr1wwNNtGx/7nYNWjt+LQ9o1IadRKAw9AWrP22P77tzh76jcI+WItkF0tuA54WAbloQ+iaNcaVBblwZ+cAW9sMgq3/wtvTAKSmneDJyaOWfjomqupb/IE2fV4PEF4AsSqT+RpHGTLsV166MSlZ6FVj9OwdsVSdOvZm42lVR4X3AEaE4iIkH9HBLI52Ob93oMPP4zHJz+BGdNfZWCZxhE+JUWW+EpkI9O0Y64gNWQPB9YsJMoE3Ah5hWcX/83t8eLUTm3Rq30rFj+8+N/1ePbTH7H3aB66Ns/BgM6t0atVY0QRnw/xjGieWuxaLDAuQq7YNGgo2iWJYxjQFtoqppiz2jW32jOQzVzjubV+X34Rbn1lPm68cAAu7Hcql1+FlZ7mU9PikZqSwg59SrcuBsgmYP3eh58hKTERgwYOtGRZ+tY2bdmG2++4Ay++NA0tWrZysFzrMmW4XGq18TowjqvW7ACwjWVzPEBE67dZz75gKMaNvhIb169F63YdjOts36U7vvp4Phas2IzY+ISIxGfvT38BYyY8hqwcDrKdrOy1FiFv0N2OuvlOxMbxPur/qshnpxsb6lLIU6ZFixbYvHkLWrdqZfQ5ylChd1hSKNatGmoX86IiPClrP12e0wwzNIZSjH2QvoUQhgw5C4t+/JGxkJ919tlKOS12Z8YQlwm2iag6OZl/C126dTdtMwA+/WAeIy3t239ALU9V3ZRSQkoBWSgI9M1kd0QCw/8aaHvik+CJiebMrk7F5UIsEZjFRqNZZgr6tshmV0cxPmsOHMWKfUcwf81WlFVXK9FVvAR6cGRNfHfNFsYg/uz5LZEUE8UG241H8xH4eTm25h/HaQQ8hBaQgW1p0Rbu6hxgUxUAW7gXbTlwFFPnf4NPnn8YHtJ0WcRnPpu7uGRkpA5KxWQfOnIUEx54CO/PnYeo6Bjz43UgPYtkobbmZQciALQOsJ2s2WEAW+x3aP8+BALVWPbrT4iJS2Ax0l4/pYaI4QA7jNY+VCOw1hkRI+Js0eD4ByAFBwm8+TIdS1p/uFAr3YjdGHDRcAy8cDgO79+Nj9+ajjH3T0RcHBF9cWF07Yp/kN2kGRKIUVITUYk98OuP5uGcoSMQQ0ybTtemmqLjcqQi8V2dLdrE/Ervg8C2QMi6BpY/UKXM0Adhy6otgLZhFSftY1Y60qL9+GTzbjyUnMAFTmYNADpnpLLBcfORPPRu2oAdi6wVLgngPfy4lltOMIjm9dOx/cBhdGoVp4FsPb5aG/I0IM7RqTbVhjre/8ouU7gGsWfIwTal/Hpr5gzcc+992LRpEyaQJpUGaAPcinPqRXg4cFAunMFkWwyzcCuLoDkAycEhpIFsG1gX1m1mlbGBf+5GHg62+Tn4flQpvti6Jrq1IE/3debQy7B+yS/oePog0S9Ikpna43iJSCtIViASxIIuFO9Zj6i0hkjr2A+Bqkp+7exPNfLW/ojkdv3h9vFUKZElA6kcEUuGlSByaZjKmb1rK4n10uGLjkZ1eUWYy6vj1WgWk0y3H4cClar/YwYl5TreJzkFqX4/Pt+5D+O7tcXTqzbiasFB0D07k/VxG/cdQv/MVJzWvhk+/XsdzhvQVxOwVSq73r1Owcuvz8TwS0daVmwLbNtCE6KjojDv9RfxwEtvWSCBvXPRZrlVm7Ok0vPk+Eppb6Rhm9oOb0Pyias3Ym2vdxmiGdbkoBAOsiNLXBZQ1pmubceQlky5nWW5ts6hGBHkaQ7u3YXmxO1h3I8pVBvKNRKKkpKRX1CI1IQYI4c2y5vt9qBrmxb4/re/cW7X1gKAcBAuXcgpvVeS34fkGD+qSqqsmyNIurDoGPrFJTPGcXqARIam7v3ELEFO8mQqkU7VoUhlmbT2qiOZ3jS6woOBTwFCad34J17isg0dRLuINr37Iz4lHSt/+ARn3vigkh9CIaQ178j4Nwr37UBCs86WqziBbJoeW/8X8jb8icbn3YbifVvhiU2C3xWNkCca3vgMVJcVMxfMw8u/R/GuNYhOa4jG597MWrLX70eAwl48IeaRYylo2RgfMPqvvsOvRcWxgzh06CAaNmgAT7UIuwgI63ZQMQtL0N2uQyemPF/4088YMnAA4FZxnXz0F+MAfYPiw2JHYe86wNNIMY0mPTNpyeZWcTYOBsmjUni3UHUHEePx4ty+p+CcPt0RDFRj5ZZdWLxyA177+lcEqW9p2RhndGyBHi0bMS9NOZZamTrEPL0jayy1lIT6eCmbgCTu4yCbTVmMCZdlJche8O9GTPv8J7x213Vo3qihCHvk+bHllOTWJavXo2WTRix9kc4nRC76737wMUZeOgwxBDJJjoUbv/z6O6ZOnco8MTPrZUWIx3Y2/Eg5Ud5OXcmfpExVE8A2+wqbIUhb1tEvrT1z8NlIz8jEx3PfxUNPSo9N/lvHbj2Yx+O2LRvRtWcfm+wdQlVlFRZ/9yVumjBJyQBOILumwdHhEVRUlGPNP3+jd/8ajJH/uZwIvBZ7iP5mwIAB+O233xjQtooA0tyCLXpKS1wgoUZ44ziATGtBgnGnB2aB9ZDtHqRcKeC06FOemDwZlwwbho6dOiKrfkMrpImPqby/ILDNRiJmSAL+/WcpmjZrzgj3dOML4YVP57+PC4eNQExsrLM4pI+1mp7B1BHIvlvJUPJZ1NVtnG1b1w2pQ/A3bByBadwek+2x8hHGxvjRq2kD3Ny3M14fMZDlun7nssGs0jzlIZxz+dm4oVcH7CwoxpmtGyMlMc4ij/hr72F2X7/t2B9OLGHlRRTpG7SYHakFPFpchvEvzMLbE29HbHy81Wkxl3FGfKblGdRZLwXLOCOOuPkW1lGRBkXFsujM4k7pqmS8i9o2jIFTA9lWvLRDDLYVGy1+K6+sxJS7b8Fbzz+BsrIynHf5aPS/cDiL8zGPoWKwZZ7rsBhrew5sG5GKvUbKzW2mEVPaUp0AzVIguIB62Y3Rd8j5eHzc9aioqLCs/X8vXoSjhw5iy4a1Bvb74+cFyD1yCEMvv1q1SZv1pSaQbRe87EIYbRft89T5W/BkNDTSd9mJzhhBmpb2i8dkB7TK4+SCNK3iU6rkBX5Rk4b4Zud+lJZTnDYH02Tl+Huf+BZ2HeAg2xabbU65xr1ZVhq2HzyqHqSuG9aBte5ebsuBaJJZOLGW83Xc1Y7P+30+THvpRaSmJOO60dehtKQkzEJmpbrR11u/18AubsRhOwMmJrzayJ0Ug7lp0TTdaBUwUbG1evy2ziAthWsVz9v3nKFo3r4jju7ZCS8xJtvSQ0Vmq1ax2xLg5G9ciqqiXFTk7ceBX+chFOB5hIu2LUP18TykdR5Sp4FXtzpay0oKciztcrhnSW2FvBayOynQJc7kOPBa1yHmWfiD5KqwwLYC2qTMOL9BFr7bexB+lwuF5RWcADAQxO/b9rI7/2nNNiZAt8/JwoYd+zjhH1k0jZiwEJo1zsHOXbss7bgOtvW2R+uIVTs2Lh75Rw8b79fOIK7crpULtp25Xq3XmeYdwLJVwkm0jBq2X+3v39xXtnW1t2WxdgLjDqf47bsvw713tDdvKXWUag6du3TBqrXrOHTibk7KVdjtRseWTbF2x15BeiVdapUL+ZrDeTheVY3NxKasxbIvLS5AXqAaZyeksfX0/XB3bY38rM4CkYxaNJWQjbrxXLq1P2cXC+uxK264VdM23uj9lNZGliz8Ggd2brO2kdfl8fjQ5ayLsW7xN6isKNM85UI4uP4fttXhdX9ztnFhxSaQnb9lOYp2rUP9flcxfJjW/SIktekHb2ojuHyJiGvcDUlt+sPlT0Jaj0vQdMQk1Dv9apTlH8Omdx/G9q+no6ywENWVPIa7kuK3rXRfIoZbkqZVBVBcUoJZTz/C0oIRMZqM15ax2opQFagmbplgCA8/+hiztOZT2k4bEa2d0EvGIlvhfiL8T4YHShdrlVtaZxuX6V1V9UTFoEf71jye+4k7MP+x8TizRwcs2bQLVz03B8OnvI1nP/0Z/+w4gAClGHOI7ZaVx3FrjOFynZRPpYxqC208VlKBMdPm4rd12/HZk3eheeNsE2T7FMgmdvHvf1mCfYeOYOWGbdoz8uC7n37BwUOHMfraay1L9vvz5uPtt9/Ge/M+YCBbymRcRnO2aiviM0VUK7mjo7x1tGgLUkPd5dsE0g4gWzdSOW0nOhWvz4eLR47CN59+iDLhKi+NVMv+/J2d++9ffraUBJaMHgzh+Yfugo9c8YVC3wlkW5mBIvxzGjcrKyqwee1K/L9S7CNw9+7d8e+//9YyQLj1gYA/IzmvrQvT8MrfjYFCs+CFjQZ6elk1HxPlx0svvoDbxo9nBkTpeabG2XB+lZ9/XICDBw9g/do1sIoLWLxoAY4cPoTLrrwWtRdNCa6NXdZVW8oas12SQel/DrSpRGU3iZw722Ac52RmFrGZToImidFE5eDZi8tPaYei8kq8uWw9yulkXi+eWLQUj32/BNkpCcwq7kg2EUZ+pkB2cWUVrntqBl66dwzqZ9UzOmOW9kFzuQlL5UXWJZcLd9x1D8aOHYs2bds5xmPXzCoeTm7mtI0FUmsB2GtXLcfkO8awdDaj73kU9zw3HQ2btTJAshzMeHoPfmz9eGHAWt9Xu4baqg7aOf+WRnSik57YU3lp99+59+mYOH0Odm/fio1rVqKgIB9HDu5npGe3XnY+lv6+mDXtA3v3YP5br6Ntp65o3b6japA2+akmkF0T1JYwPcZf9w8nqkFjlTtbEppR3msC0TYSNIsYjaqe/1oAbmsqgPeFOQ1RXFWNWRu243hZBQPmzy5dh6f+XosG8bFYd/iYAtl6FQBFxpoxgJGVhh0HKOetGHYMdbV0d7dZtY2pANF6mgYrz6y2jwPYpqd605gbcd3oazFixAisWrVSARodUBtptCQIr3v+bKf8inYAbYJwJ+ueCbbDcmdrTM1uGzkan4ocyWx7N95/7lH2zCKxU8v5sHXiWNUUl11wBL64ZKyfeReCleUo2rkaFYWHcXTZ54jJaomYes3riCFUWEPN1m9VOtQRaFNp1L2Dg7XW+cIMVU8IiHd5UBjkfAfKWCTBNnB+/SzrW8iKjcbOvCI88eMyPPYdHxdWkdIpGGDPnRRLREooLdn0/K1KGQW8XlRWlIsc5rZ3bbUT/p7vnfIiEpOSrPdqMZDrJGeaQsYETJpgEMZubnPTtiNt0RhrZxrnjTEcqNuKXSklrWt6m9et2do+al8TsOblHmEMv5GKJazKeGC40LVrV/y7arUp1EkyNJcHMTExTKnN7slm0S4or8Ch46Xs+7hm0V/4++gxdkEHK8rx8dFDaBUdi2ZRMbb70S3ydS0GDLaW9fZdW/F7uXgYBra1c9iFR50dPlBdhWOH9hlKFNlldx0yDOXHi/DPZ7NQUVrKYlWXzX0JK+e/iNi0+ijYs8kayymee/vnLyEupzMa9L8W7uhkRoLGyM8qA7wSAVqltsxqNUKgTC2JaDricSQ274nK48eRt3U1KiqqWQYRRpSmg2xBikbpwVJzmiO7TUes+ut3tsxSfulyjE6+KuST6Ng4PDLxMdx2x10MfDM5zCH7C5tKD0RG9CU8Ey2ZzgSzfFmBbBjzlO5VpHz1+63fomLj0KdLB0y4ehg+efIuzJs4Dn27tMWiVZtx6ZS3cPkzs/Dad39i7b6jCDEjkw7iCVxH2UC2VuX1CIBdVBnAy1//hmufn42xQwfjqZuvQGxCgsUrJEG2WvYhr7gUew8cQkZ6KgZcMgoLf/uLPYud+w9i2vQ30a1rV3Tu0pXlv5j85FNYu249Zr4zGzGxcTZgbc8A48w4LkMU5DSqjsYI6WZeM8B28rK0b6eAOvsWxJ9hV1zF8i/Pev1lxs1BVuwXHn8EUyc9iKyG2di4dpUFvqXMeeTgAXTq2Qenn3W+xjQTDrKtb86pKvu8UZLT0lFN/df/K8Wm7KzfoAEOHTqkfjeEZA1QO4BtfTubVtYGtp0uwvbyDOONTozG5ctWLVti+PDheGrKk2o8tveXohctyM/DgX37kJaejkvPPxu///IT+23/nt14541X0bFLV7Tr2Knmx2Tz3pDr9GcX3l55C6hLhqITdh2n4mvQBO41S7SRWCvWAG5qNVgMqfhKFeGO1lDFk2uRlYbLurfB8z8vx6u/rUTTjGRsOnQMTw0bwEDdE1/9hvKQC3F+nxXX4iLtsUj7IOOtZYdETJNXPv4aJo65Au1btzAYxsPzZDuD7eemvoTWbdrwmAEtvYERj10TGVqYK7jS2KnOy+zsnFzEjx4+hMMH9uGXb7/Adfc8Cj/FUsXEGvHXYecxNIlmTLfZwEz32xPxmNHjYdlrtOJoebwej23kWk0SP/gvnOhAWjTJNa1egxxMGnctBg0dwa7nuVkfY/pTj+De6y9Hs1ZtsXXDWvj9UZj8ykzD5cPp044Esp0sM1ozZT9Gk5tYHYs/pxkDwGEplNjxbC7hsk0I8GABYhGPyoGQuu7s6GhckFMfr6/fhnc27kCjhFhsKzyOB3u2R4AIx5ZvQGl5JeI93C1OEatJS7YaHTs0ysKsH5eJa+Lxo84WaSbhKHDNyMtIp00PWsRj213IuUMPf67s+vl23FtIxnCDpXBo164d7rz7HsZAfNddd8Ejct/Ke2bxnXZ3b+nDY8XJSLd1J5dy0SC0bZQrkHJHF5tYfRW1ReYKLM4ZjOBGzt3DncnRZIw3A2BEJFavPnoNPg+rf1uEzv2HKFI0vRJBWtCFgIen1gvYfidLFB29ww3PYvvXr+HoygUo3LYclYVHmAWn8dAJ1nOXbVu/L71tOwkGalAR7VO0W/k+2mVzVvO6lMbdaTCby/e1ncMYpGRsu1YbujkhWjojcpIkT/K6QsiOicb52fxbIKD1+/6jOFxShsln90bQ68WUH5YwDoL4mCCaN8jE9r0H0Lp1nM3zgg/mHdq1xcaNG9Cpe09TCSPCIXRXXr/Pi0dvHY27n3kV/tg45mlC7YfFicl7sdqiiFC3iFvo21Hxt1Y7ld+47R1Yr0x7TfobM3C41u+Frzdjsvl/504vbHsj5Vx4JgALdLtcePjlt7jnhSOQtF2/aFukqJ4/933RQG3CnADcjBDtWCGy4/1W/DbV33ceYMfolJGKaLcLt/+1Es3i47Cl+Dh8LhceaNDUdp+cH8S4X8enoK410u90vzld26OuhVyNS1zE36F9kxL06zy/ooPjz1qudyGneStUVlar7YWwSSWtYWN0HDQUS+ZPx9JP30ZiVg7y925H11H3oLKyEhs/fwPVFWUIufzY/tlLyOh2Dju/ZBwPGsRocowyW5qRXs3jQlRWO9YwClb/iKOrfkTzobdb7aGS5TgPwusOMG4DH/VpHhf6XXYjUHEcB/bvQ05OjsXIzyj5jdzhloiPbj16Ysg5O3DzuPGY/urL8JF8J7t1kRbOchMnl3HmQyrjpDmBGQMJtEzjFYv1FtwhIm6au5IHwD9mFVYif7emou+gfaO9XpzerQNO79qeja1ksf9r7VZ89PtKTNy5Hz6vBx2bNmTu5q2zM9E4M1Wwz9ufLX9oxyuq8M+WXfhm2VqWO/6as8/A15eexwxGVq5wEdoopzp7+KI/lrL39u0Hs3HvY09h6KjRaN+2DWP1j4qKwux33kZJWTnGjb8NPXr2wv03jokYj22XYZ1Ar5IJ+W/Mlb6OhUIgUB0uW8qxxhgbrOEnFBnwaPs0atIcQy+9Aq89/xTeevVFNGrSDNs2b8S9jz+DqqoqTH9mMkpLS+CPjmXHWfbbz4xb6axLRprkxJFAdoR7MkJ7tE4js35DXHfXA/i/LDrJ5ckUitW2H9H5TqUsRfOKgcUQrJwvUBPcnEpIPTRdltRIDwlTXDFyJMbddhsWLfgBg88awgyeTuRovy/+me0z9+Mv8PgjD+C6y0egVZt22LBuDfxRUXhpxjsnoGTl12a9XtstWLdu3X6I9Xn/N0A7K4fHQIddvRjUHUbdcMKn8Jcg93tl1Nm455w++G7tdvy5fR8evPAMnNetNbYdKcAjny1m687u3laAa0kgIfIrijgXur5DBSW4/ukZePzmK3FK5/aaFZt3XCa4truP8+VPv/gK+/bvxwsvveRgpTbJI5w6LvmxKvDsDLDD3c4VwF6zfCnmz5iG9t16YcSN49G8Q1d2TM4UqVzPLSuxDVyHgemI4NpkWnT0CnTSrQj3T5qRAgMVtxQyNJcJeX49dpvW0pS0uNfcNgGzpz2N5m3aI6dZczzxxnuY9dJTOLRvL668+TacduZgJCQkaGAicjkhkC1+i2IMq3X/LKMbNUOgMhCZaTwUPpUAu6o6gOW5edhRXIoj5eU4Wl6BetFRaJOYgHZJiWgYF4NHO7bF9S2a4pcjR/HvsXzc2qElBjauj92l5XgmsA5/7TmMQa0bGbHeVnyYBNuhEFLiYpBPuUoNF3Az1YI+6riY8OJyjNE2GccFKKsj2E5PT8O7s2cxMsFLLrkEU6ZMQfsOHVSnJgG1AMS6MsUacAWpliW9yoYl3qEkPbPcu/RtBICQvBAy3sc+2EgG8nA2cmMnC8WzJ6G5NDHLqpuzkBfm56P42BHEpWayZ0pgmsAin7oR8JCFJxxsE4jJ2/g34hu0QFxWI7S9+gnsXvAOjh/Yhvr9r0Zyq95w+WKse5ExRBZJnK1tk1AfBrb1cU62WfFTk4x4xNchtZcs3OJnh4bqBajWEn4JxDy+J1CBLqF4NYZrhGhU6Vu4qX0LfLXvAL7dfRCvX3gGzu3UArvLKjDxm9/x6/odOPe0FLRrXB/rd+xG65bNLQ25JfCGQujWtTNWrlyFzgS0NZBogk0FtgdfNBw/ffEhzh91vUWGJvsvPuhLYkgBlDQgLQGr9VRrkk0sQaZmZacaXlVnrEBwhDzZmtHBfm26dUDdu5mOTLqZy8PkHtyPBR+/jxvueqDWmHy9p8jIyMDR3GMqHtCynsh4bQ+6t22BFVt2I6dHG8GRwi3bP2/bh7aZKWiamoAxbZpi7vqd2F9YglENG6JHdCL8lUFUlnFwSoVyaVdoBHS1FSVeyatW+2W2bIqYRE5KWJeirBzyzaq+SYHL8HbHn3cIHbqfivzCQrN9ald0/p1P4pThY7BpyY/Yu+4fdLp4LDI6n45je3Zg/ccvI2/Lv0hs3gNpnQcgLqc9T+WlxWzzMCSNPNOukKBnLr0KAsJ7w+NGes8RKNy4GGV5R+DO4Mz9lUaMdsDy2qFwmbLCInwy9VE88OpseFzRVjwjgWUigrTuj5RUQvgYNmIk+95vHX87pr/yMrzkqq1UVyLkgPgreDow6bVC33pIgGsFtDmwZsdmwFqPs9bAtRPgtsVi69PEJC+G9OmOIb2JrDWIiopKrNm+Byu37sLiNVux+9BRrsgQxHZx0X6UV1axlFy0Pibaj55tmuPac/uhc8umQslkyrA8VRlnE1c5srkh6PvFf6BT+7Zo1ao1Pn1/NiY+/Tx2792Hu++6ixFKlVZU4vIrRuHmW8fhzIGDaojH1tbZ3bulTCg+B9lC/CcoIxHniDPItilgtX0My7VdLrXkXX59T7w0HWPuuA8/fv81lv/1B8be8yBOH3wudm7bgpcmP4wVS/7AqWcOZoaqD996FZPfeN+Um3Vpxm6AquXe7E/h0L49+OLdtzDuocn4vyhhsvdJHIMUMUQEGBMdVfvJLLlKjOEiXtkBcZo7mqQ4DgcPafKYcOxn8paYCnLd5597FpdeNhKNGjdG6zZtJQctxxziSD8tWoh2HTqiRatWePv9D/HclMksvezNt92JfoPPQnx8Qo16AdtVSZHOUclt00eyfu5EYrRPCGh70+vDHRUFV5C7eBlFS2NgXL3GxqzSINnuRMsd2qxBOsZnZ+I2mcLL40brxlloVi8VC9dtw7m9O4tOydY5ieW/NuzApLc/wrT7xqJty2ZabkUJsjVwLdN3GW5KHvz9z3J88NHHeO+997ndroZOShGWhbOBc6BtAmu5Pc9jbT8ed7Ve9sdieLw++Hx+3DllGhKSU63t7YBZ7yjt50cEcG1pDmvoWPWGxV61xjCuXp2CXjoTuW7Frsm6zQdPfr42XXpg5+aN6NG3H1v2er0Yc+8jwkVTaLVrYFy0CyR2kF3bJ0F5g0+kROc0QRAehCpFHuBagHZVIIgVufn48eARHCorQ/fUFLRJiEev5GSk+X04VFaBTcXFmLVtF0oCAdzWujkaxMVgVJNGuKpFE7gpNVR1EI3iopGTEIdfdu3HwBbZZky2btHWar3kBOzPzUd2/XqGFpGlMBH7kPbf2sfJqs1bs1JassIJzuoKtunnq68ahUGDBmLC/Q+gVatWuPfee5n20RXGTC46YgeCCtaORGM1lKwSfDDruGrzBmDXTOKWZVLbnjNbmmBb3b/8Ud5+SFg6bUok1hG7We7bD197DmOnvIYQCaACbCtXcQLbgkfB40J1UABtBJG7YSka9j6fu055vWg85AYcWvYtAyAe0tIz5YoUXkVbE9peW1OMqLhW37z69k/UbZxKgw6tGSFaVXmFtlYD2Zo1W52bP+8GniisKOfM48bwoCtngyE0jI3G+E6tsKnwOAYJIsBmKYlomp6MBau24NzeXdE+pwEWrd2Ci6WFSwrNor1369wJT02dhtG2UAJuzdbZxynNEdBvyHlY9c9SDXwLRwbNqh3UiSHtVm2LNdUpkZf2pDRNYKQYQB0cmz/UALI1t3B1BhvItu7fjCO2+lLNkk3bbd+wFhn1G2hEanUoTOOq9cxhVm0OuHu0b4UPv/sZQ3u2E8RR9CUAi7fuweWdWyHJ7cau46W4vWNrVJZUMlK0qtIqFjusa1cTXB4UBauR5Kqrski/C/OOGvXQQpXqCLQN/Z0cO633ETJJRG3PuyD3CD6cMQ3XPDglbLyVjzIpKxudL7gabc4exdyzyY07NjMHMekNGfFZ/ra1qN//Gm7Frg7xkCQGuCXQlmMFJxZUty5SZrFnzxnHybrtJiK0YAiJrfuj/Oh2FO1cifq9zhXOCNwCzvozYdEmgBWf2QCnnjcciz6dh/Muv1aFUNB2NO4I2dpome4Qhl92OXvvV193PV556UWkJScJi7YgPGOpqkjBTfPkUWZzP2UdsQ0wW8o2tayziOupvRSzuOxDZApObVkoKQjER3v96NmxLXp2bGOMn9R3BaoDKCmvQLTfxyzfXImhpbYTSg0JormhSGTEkeDaAtleUNK6BYt/x3VXXs629/h8eGLSY0x2Jbl185atuP322/HMc8+jTbv2dQPZtiw5TqRgsjs6EbdxKgyUO4JsU47VgTdbtOsmpbXd2k7NZzdugmvGjsdVN42zwhJymrVAw8ZNsWTxIvTsPxj79+zEuIefgj86WlnubZZsU/atobemb8RBACXyLUZ0919KLcYgOTnZszBl59GjaJRTG7mjdjINgVpgW/8tTLawWUfsJWQel89yIcpCE64gUwa8OWMGrh09mpFQJ6emWpZsJnEGqrH4x4UYdfVoNnb7fF7c/+gkCxMZp4og/zhdnJSp7I/Cfg8nEp9N5YTQBblr++plc5dtxvQt47NlbLbHRpKm4rVZfLaMqRZkZpLQTMZZ83mKbRFx14K4gpjCz+3RDl//sxEB6pBkTIxGSlERdGHS7M/xzre/4KPnH2Y5Blksjg6yDbdx5Y6jp/NavnIVpjz9LN58803WkUkCM4vcy4g5NkkldEKwsvIKrF29iqXYsIhAtBqwzVdWVaE6GGR5Ejeu/pelUGnVpQfik4hpGiJ+WsRbi3MoYhFZFVgPCHC3cdUylFI8lxMBmkFqxuOsTYIztWzFYIsxydkab4/DlkQakdarTm/tP0tQXJiPA3t3W6RIdVItagKhfW1dQTaVE3EbZ4f1eOBv0BiBSh5jLStZuWldYUkFNh0rwuJ9h/DU6o24c9lqbMgvxKjsbLzQqSOuaNAQ3eKTkO2LQkzIjaZRMTgnPRMTWrbE9Y0b4an1m/HF7gOWkMStEfyhnZlTDz/uPICq6mrHGG078L7glPb44vcV5EMoco1Ka4ZeBYmUZiVwIqxglgK7kGIxvNr2EceqKC/DypX/WhaUBllZeHf2O2jfri2GXnQRFv/0E3+mmvAvScnC0w7pACFCDLcNHLD3Hwph+dK/UF5aGm7R07cPO79m9RPXoJMX6XG70kVSEmhlN22B1Mws7Fy/0vrdKwVSB8Zxy21822pUHS9AZse+Vn5tGsRTO/RDwcY/LKWkYa20XHz/y1DMS4dGJwa0ySWvYRghmnOxYneFMJMANwpDFBeqCTka87ger80GOPIIYBY5PugO6dAc3/y7mX0LLRqkY+veQ+GWKbFzdoP62L9/v3Dr5sBZQD7LgsvdxzkoIEK/+IQE/LHga5NLQGtriuQsshu1eiMuVFdWYv+W9RHJxKz2J65Lxqf918KbhWLd3756OSrLyww2cftH5tSSPF4POvU41VRq1nDvVOS7JeUpxRWreEDNsu12oW3THGzZe1CwMnOelL927EdeSTkGt2qElulJ2F543Er7xTGh1keIa0jyeFEcouwm4UDW6VmGaljTuPuJAW1OiMbBthUfbrNMq+cWnlqNYt/zc49o++vbKJWJPIauXE9v3wdHV/+K6vIS1u45KZpkH6dl4gYhnpAqlsWA1wpRyxGo5DVI89Z62qaK7UdWcX9mM+Rv+gvF+3cwIF9FcdgUty0qxWrz+O0gOvQ/F92HXIKtG9ajIhDktZpPiSStpLQcq1etZHIKl0e4nDNsxGUYf9sdGHXV1fjhx584e7ZlEFEZYyhGW8Zp83m/+l0uM+OKMLBooFVt48WfqzehtCqgYr0lmVpYbLcWj22TP2WFFv/tjY5BUnISomJjWdw2/13EaEsuIdrWOpeSVfX82FJe/W3ZSuTm5eP8c4bwdfRcSPEAF5b9sxx33X03Zrz1Dlq3ba/kOUE4Z8iHDi7kesy8SWyranQdidD0b4GUNREJpcSnFgZ4bZZlvZrba/sZ+kkX+g4cgt8Wfot1KykEC2jUopWpc7FZsu1g/0RLdHQMOp3SO/KziKDOk989kamtX7PaGteMjf5HJSUlBfkF+c4HJ+VyCFjy91KGF+y/Rb6eCPKGJZQ7DQzGGxWrpCFHyZn162XiqSlTMO7WWxiwtsZDAH8t+RPHjh3DkHNJ4Wfn5XAIsdKuwVD82BQ7BumdjR9A37+uGYpkObGthfs4A9dkQZYgW6TXUuBaJ0cjAjROeMYJ0GxEZhrBGQPfAmBLIgnJEjnyzF44XFCMX9bv0jo53qEtWLEeQ+9/Hl3atcLbk+9BSloaI6aQv8sO17BoG0RoHGSvXrceEydNxuzZs1lO58ggW6sOlmnab+oTE/Hy05Ox4OsvDIBdxfJbKpBbXFyMD95+HfeNvpS5mj447W1cNvZOxCWlKIBtI0bTycysdTroFoB46aJv8O2s6fhw2pPOBGga8ZqlNLARp9lZzGVuboNMQydFOyGwreZ/+upT1G/UBD36nond27Zon+LJdn3mN26AMYdaV8ZxvfxTVoUX1m7GwyvW4o6/V+HOpbzesWwVnl63CQv3H0JuWQUubdgQL3TqgFENs9HA77cYxgmUyynFezOrQ1UQOf5oPNOuHXYWl+DrPRxs6+zi5zVpgKNlFViy57CRk9uYZ+CbQHUAgzq3xILl67gFg422ItWJtGjoNcxCYAfeWkycfV2EbR9+dCIemzQZn33+udoWwCVDh+KjD+djwYIFuH70aBwgEKSzQeuWORvhGQO7GuCWHXAYeBb7fvPl53j1pal48rGHtd/DwbY7EtjWiK108jbOPq7AtQTGkhht5LgJaNyyHdtWAmmfm1KghROkScC97+8fEJvREKnN2guQzc/vi4lDkwvvMAcR7RkpsG39OanSvhHPTXkipREDJIZdImwbw6tGbiGeN+X+tQQmDVzbATcRoh0sIiDB+4bhPdrgcOFx/LJ2G5LjYlB0vNRBScSndJ7ExEQU5udpShPTNVq+d0le1rhFK3z34bscmHM/DfXP1lbM2FP5fsR7EW3m+5nPYeE7L2Ddbz9EeJIOrONy7Um+Uvs1/fvzt1jw7uv47NUpYT/atzWO4XIhvV4DNGnR2nZ9Aq47gHPdKpWamsqAArOOCEZbZqkUYJs8Wwh0WTmG3R588s9GNElLYnnTW6cnY1tBsQW09Y/XMo4TMRER7IUCdQLZ8t7M9qo2PBEiNFkY0LZel0Yyp59B9l82EjrKYz142BXKC8HeF2rNQIINOebW6zYI1aWFiE5vpHJnCwZyZslmJJwcZAerKxCUYJoBbDGtKke1ANxsHdu2illnqdKw0WDwLagoymfEalVVAUWQVqkI0lglhvJAEO9NnYSDB/ZzkE0WeDF97omJmDplMuubDRkpGELnbt0w78OPsfDHn3DTLeNw4OgxC0TrABtMtpOVu1rL39V2ArQyuU+u5/MfL/gVz8x8H/dPfcMiHXMG2ZzsLGydsd4JfCs51OWNcmBCN0G2zIij58eW8uq8z75GsyaN0fOUHkaO7A2bN2PSpEmY895c1MuqbwPNNrJdCbw12UvPEKPLjwbgJrf3k5CRmPu4A2OzPkroIFv9JryZLIButvnwMcUMm6Swn7yjR/Dms4+jXsPGJvmZDWSbFvyTkzdJAUlhj07FSd5k67VO97nJE/HClMfxw9dfyFX/a5zNgHZBQWHEjvDTz7/Acy+8hAcemWi/g/AbkspS/QbtqgS9Y7OK7jWpNQj1sg0ZsmuXzjj3nHPw3DPPGED6kw8/QNOmzdCjxyk2WdF8rmFgm6oGnu1gWy8G8JayidiOPFT+T4G2NzNby12tW7QFyLan/bIDbAmsdYAt10uALa3ZDGTzzqtrm2ZonZOFD35bbq3ffCAXox5/FX+s3YrPpz2GS86iNBXRVsdGHaKyaDtZshUBGoHsBx58GLNmzUZCUnIdLdkSnEqAqoBq1169GUFJ41ZtmKWaDyJ8SukuDh44gJ+//4pR0Gc0yMbktz5ETGIyEz4s4GxnHndIzRX+u7qGhi3bobq6Cm17nR5myTYs2g6gmg3OotpTekViqJQpy+oEtjUSufKyMvyx8BsMuGAYrr7tPiSnZ9QZXuvWTr7CwXJg/bHtq9UTIfmQpVvvvrgoKwt3NW+BZ9q3wzPt2+PZDu3xbPt2mNiqNW7MaYQLMuqhoS+Kg2sBpI00XwJsW2m+mDAUZN5vY5s0ZjHaO4uO87g6VoNom5yIZknx+HLzbptF2wa4xTrSvrVskIHV23ZpIFuzags3Qv03y7Itc4Y6WLkNd70arNt9e5/KUrh1aNs6zJUvMSEBzz7zFO66806W1uHladOY5cXRii3ATTgQ1y2SDsIpgI6dOjP3rv4DBtrAtTPYNlNAace1sUfr7OSk5OQWbUGM5nYhNjYWv3w2F6t+XWi5i3OQ7WaEaHYG8lB1BfYt/xmNTj0bHgqdkRY7AS6qinNx8M+PFbjQtMbhYPvEy4kSoZmWv7CvzrHYwXa624fDwSrNOhGeU1vyEDRJjMfOgiIrPKJjwwy0ykrDh7//a7iJmyCb8xNQu+zTqyeWLFlikZWFKW80jwSqMdHROGPI+cg7fMi0XBv7mZ4V9nvXz9OsUw9UV1ahXhMtn6ltOyfJrCaLcY3F/hEByGnVHoFAFdr36lcDsA53U6fFOS89ZX6b2p76rTtda3p6OnJz81RctjWV824kxMaguLySjctl1QF8tXIzhndrwxT79RLicKS03Er5ZVUJtkX/kOb2oSBIMdsRZMCID+q/EaHJ4icjhK3/kWfQn5vhHaFZryvLKGWRsmwpRZBSaFCRIESO0zFZzRCVkoXjezZYHlAyzZdMERlgFu1KBIU12wTbwqLNqgDZVQTMCWhXMws2VWIw9ybUw77fP+Epv4hxnFmyg0bKL6oBtx8j7pyEr+bM4CBbWLWJjbzzKb3ZuECEp0omgTWNionDlGeeww1jx2Lszbfi+Wmv4Hh5pQaW/TbQba431wmWcgbWlUW7S8f2zCp/Vr++QlbkVmdumdbBsrRYh1u0+fYOwDqC1VsdRwPzVjoyGZdtguyyimp89s0PuOLSYRrPkAcHjxzFXXfdjTfeegvxCYkmaDaAtel5aSdIs+RXw3Ai1/HlWP8JRZqyQmOdHWBblmkJdpyYxyNask1wrL4DMS+WW7bvhJymzVGYfwzpWfXDrdlOoZU6d9EJlnUr/sGqv/8MW6++fTOAx24kPqV3H4YXWrVt5ziG/C9KdHQ0CgsLDZlBv9IunTujqqoagymfvbw6HUw7CtE1jfc1dLwh+UdmqtHHbBX6Rb9dc/VV2L1rF5YtozAuMA/Jr778AiMuGynkI01haSh/zSuzX4mTZTtS+1Ntj8smpEz9PwXannqNhOs4jyfhU8H6bS0C26HWAAEAAElEQVTbcwXWUB3zEkZzLaFVo+H2R+PywX3w5Z8rsenAMdzy4iw8M/crTB53LZ684wbEJyYKYM1zDequQXoqCN7ZCrAt2By//m4BJk1+ArPmzGGppXh+R5kWS7pr8w6n2rAyK1Cra2MJSFMKgZfnfo6cZq3EOv47kWJ88NZ0xqqdmJKOrMbN0GvQuUwzKfdnxzLyT4qpzIdtB8s2S7UE0GkNm+CWF+agXZ+B1jH5NGicQ1Y6T7gVW3cbjwDIdTekiOm8pHuPrtnkTXzp4oUoPV6MMy8Yxr6S5yaMZ640kYopHKoOwxD59HUOrnv6x3eiJB+yNOvbFw28fsQEXcoybdSgqgxUq3zZJrjWa8iKq3MFQri9aTO8sXWnzX08hPObNcSinftRXF4hALVwCbcDb2HZHn/+6Zgy7ztmneCW7mrKJQOw5SoKMhLrCGhXW6DbxdzJxbxc1vIUO1mwufVQAfKhF5yHBV9/jjatWplWb62D7dixPT795GOkJCXh4osvxuZNG833ZdNY2i3cajuTDVnON2/RAh98+iWGnHteGMCq0Y3cdm7Lkm6ldtJyK2tunhKs0zYDh12Bnz5513Q7l67mNov2/pW/oaqsBE36nG0Ro+nu43ENWqB45yoEq0rUM9DCXc0PRU/lpA/zkUvL+olIOAEiNOtb6NNdzDmLKWFxb9rYWs/tx0ES/g2KAMUjoNe06CjklpSLGG7+Hi49tQO++mc9ikvLEBsdhZJSIv9zVhL1P6Mvfvn1Vz7AawRnemouHXRTvWjUaOQekt4WDnm07QO80VbN0uGMIbjxhXeR2bh5+DOSmnXdvV48JNM18uSKvJ56jZri9mnvonO/wQZYtgsrsC2XlhxHTFyc2tameNC3t+a18/v9PlRVV2lXI2clR4sbzbOzsP3QURbL+v3Kzax/I68Fim8lpb4VNmGBbE0RIZ55moeAdlXE+7ePAeZzVUtZ7VudEBGaLLq1w3qyNoWH/lzkc5cKxBW//4SSwoJwZaMNuMurlcruwl3rEZ1aH/kb/2Du42zMFf0/zz/P+3iqQVlF/x+UtVqbt9ZVa5WnpvTEpeL4nvUoObiLge9qyptty68tc2snNWyMoeMexO8/fI3yqmpm0abae/C5eG3+F8hu3op7+gmPPykvsRoIoX2nLvjwk8/QqEkTXDbqSjz46CTsOXAQAZcHQcNKzS3blqXbKypbJ/JQ22rLFi3x3byZOP/sQTYruHJRt+aZxVyAYd1N3OsErJXsqqqyfhthjVp4I3OJdyDq/XrRzygqLsbIESOEu7ibeX/cOm48nnl+KjIysmzhi1yGNeQyIccqWU4qNcwwQUOOFMci5dHJyEgsltUxTlsuR/B80qzT+n7axMFDSs/e4kLvgUNwaP9elBwXHCD2L90Wkx0R5NehUG77qJgYnGwZct6FmPvZN2jRqrWx3vCMiYQcjWk4kGezoRC++eYb9O17mroz2821aNEcX3/xKc4/99yIVm/Nsf1/U0K6FsbkCVL5toN4+qmn8MTkyUzh9/2336G4qAgjLr0sXEa0z9d0ufZ2aV1PeNVBOCmPToQI7eSAdlIG3MkZDFCT1VqBZo0x0QLZ/jpXlddQWqRtnZM/Gmee0hVlFZW4etIruOnSCzB7ygS0bN6U/WbFutCxZIfJOiseo6PnYZSaTeqkX339TXzz3Xci4D7dyBOtXKvtFmsOto0qADZ1fmywsAaMIAPXf/z0Ax4YMwrLfl/MWGzvmzoDbbr1cozhNsF2uPVZgu8qG/jWwbETILeDbDYvXdk1l3bdzVyPzXa2fmsu8zaXcjvYNt0vFOD+dv4stO/eCw0aN2MtmebX/7usTu3RppQLF6QiWhSUJSE+6sQ1tVRimzSBL7N+BIAdsMVuy3zZPGe2rNLKbYJtVet5/ciKimJEahJAE9i+oElDZhX4bMNOTm7jUGm9tFA3Tk9Cu5x6+GHZGg6wSeBiQpYOtsWyYd0mcK3FcQvArVu/SftoWLeNnNq2WFktdtvch3fh11xzNd54fTomTXqcMU8GAsIyFRFwO6y3gR/TrdwJVNewXjumsqTbcyUry5QF2jS35Ni4eFx6y708zsiK41au5HrduPAjZLbuiuT6ja11OtgmK3f2gCsRKC02U/FYI7IC1C4nsF3L+DCgQ9ZJfQv127ZARvPG7KwWyZooTg7lckrqlkwC2kEC2jq4dLBoB4EErxeFZNXSBuXLendk8aHv/7wM2ekp2Hs415ayR7WzNq1aYNPGTYJYRbiD2zwT9HfJ3oEL+HruOzh2+GCYN4PLQRjSlT66UaBuxeZiqQuc/xVps0vUraPhAC5cwaSWvV4Prhp3j0GEZigtTeys5sUyV6xqeyn0aZGfNcuujx0Hc5nr+MxFf6F3y0ZoXi+NpZqi37OT4nGgrFyk/jIt2vKQqW4v8khZ6HT72j2qdXp7lXQ/IXS+YOBJPWIiRCNhzP5cnMYlq4+Sz9rlQoPGTXFo7w51rVr/pBediJW+j/xNy1Cv9yUMLOet+ZGtYzHaTAkrAHZQgmwNYFdr1b5srKM4bbJsE2gPIWvADSg9uo9ZzIndvJIAtADY0nWcz1NcdgjHco9i/mtTLfdxWZmFWwfXZJDQAXeA5C0XzrvwYnz06ecs3eqDD0/EVaOvx9ffLwRL/mFZsYUbOQPYHHwTkLVAN3Mtl2Dcyc3cCZBLMK9cy3mOa60ay7qRyDQY6a7m1n6Wu7syAHEPTMEd5PLgjXfew2m9T0WLli0tl/EnpzyNSy4ZhtZt2mnelSoWO9x9XK7Xrdvh8qLdc5L2STkJ5SsVSoFE41ZEkK17EGsuvHZLtrXO0eXXlm1H/L5pzUpUVVZi4ecfahZx/fsxQXZtIKum0uXU09G5Vx/8L4vZR6mp0X9HkGvt+3/55ZcszWpqSkrt7vF2AK//IEJ+/jveDhmV97pmSk59AExNTcHw4cPw9lszMXPmDPTpcxpatGxhi8m2x2c7PAjt7HLG3uZq9KoIATG+E8cLJwy0qXhzWhuWbA6ylZVaur8wwF2nKq3Z1AnJqQLemw4cxS0vzMKrny7AgFM6obSyEl3at9FAue4qbu8seYc17/Nv8NeKVRboLquqxu1334viklK8+trr8JB7r+yABKhklm0boLZbuu3x12qwCGLb5s14d/pLKK+oZEnU73zqFXQ+rT/rRGu1XodNa3H7DgPXtv0DNczbKhGnmK7qkWO3TQs278R//mQOvp8z3dGNXNc80vz2jWuxYcVSXHDVDVaDHnDexUjLVAK/vVvQhcDwYiLryH2Gci6Jizq5QYRKap8+Dq7gat5euSVbAnAxL0A1A8dh1u0grqzfAO/u2sNZZIX7OKUDG9SoPt5duw0BZq2QVmwel82FK2nl5vN3X9Qf0z77ETO/XowlazY6gG0BwJ3AtnQprylu29GyrXWcYcBbgnGdHTaIhg3qs5y7DRo0wLBLLsGa1avDrIRhnSvqZpGuGWw7bGc7pm79tARky6VdkGlp1r4fPpiFL995FS07dsVnrz+vuZmbcdnkNn5s12Yc2rQSHc653BFkS+Ce2LgDju9dj0AlWbUlXlGupwaWkW3dadR2KAM61T/pb6HjBQPZt6q7bdVkHdBdxw8GCDzrCm49n7YC3Qk+LworKq0N6ffslARc2KMd3vjmNzRIT+ZAm1nDHUj7yFKZVY+F7pD7+CcffYgVy/42ALQKCVAKlfMuvQoLP50XHqKgKTEMQUdbPhGpxBA6T9CqYpYIYDgM+FkqAm29ua9sW5tX/YvK8nLjeNrZwu5UtU2+vGLFvyy9Xxg612rThvWw88BRrNqxH0s27cLYQb2EqzjPQtImIwVbCoq0OG1JiKbaXazbgwqRISHCk7E9Fzvw5n87XTgIJ1uihTDmCLINsC37GOUlMfSam9CifVfTZVzrZ6xv2RpX+dia3u0sJDU/BcltTkPuiq+ZFVt6NUmAzQB3UIBuA0hXomLfv6jM3W5ZskMG4CaAzUE2r0F4YtPgT2uMIysWMaBdJQnRNGs2s26LeupFo5ix41h+ngm0GTmaMFBocpQE20pWAmPePqV3X8ycNYdZcnfs3oNLiDztzruxaPFvzDXdybXcAt0OQFq3WlvkaboVW6bZkiDdcvPWquVCLuRQzeJtVD+fTv/gSzzz1jy+r+1clkWbAW8PVq3biD/+XopxY8eIbDluLP71Nxw8dBAjRl5u4wsy3cPtZLUGYa6TLKkbbjQgnhJ78jKS3+upEWTrRY+1Frto24m/jmBbA+IhMEt2TpPmOP2s8/DFe28xEkbzPNo+2jmkh8gv33yGjav+qXP/u3vbZuTnHsX/RTGAs72jDe9QzNUuoOT4ccyYMQO33HyzBrIj35lFVmnvFY0O1WEUOFHwHeKT19+ejedeeoWn4rOl5OTrpAv51fjwww+x5M8/cfMttzoqGAyXcYfxz376MIt2LZdLNcb//xfQbtDSANQsxZYFuGU+a72DsnVKWhyMHShbBGZeH35etQkjJ76EVz7+AeOvGIq5zz6IR26+Ftv2HMDCpavVsR1ch3RX8Z37D2Pme/MxYeJkBrzXb9mGi0eMxFlDzsbd901gnTdzCdeYL7n7uDlVrtY0CHDrNQ0GNM+Wg0Hs2bULm9evxc/ffY0v5r6DNl17ss7xvCuuR0x8Yo3Wa4OR3M4obmOBdLRQy2XrWLrFWs5zF3FFyCaWtUrrJNhWoFystzplPi+PYVmzgyEs+fJDrPj5O5SXlihgHUGD+M37byGjfkP0OvNs0dmFWMz6un+pk9MtDXUTN8OFKB1saFW2ZZcLUScYb6GXtL59hdu4dBHXSM5ktcC3JD4T60lg0VzI7ZZtab1OcHvRPC4W6yg2VVr3AiGMatMEuwuP47ed+8W2GmgXVXf7i/V6cNv5p+PR2Z/j3tfnM0GKAewwyzYBcOlKLqpwG9et2Y6u5AbjcwSSNAtca7HgDtbtK0ddzlI8vPLyy3hgwgQcP348rPOsFWzbAXcEsK21FKMtWYDJpiWNZFWXY5QEaIs+mYe/Fn7DGJ4rSktwcOdWg61cZyFf/c1cJKTXR/OeZ4pUOW74iDxNhDZI93Gq3pg4HF3xXZjrLD9/pKEl8ldDW6cnRqFz4xMnQpOl0wUDtbNGGMQdLASpLi/yhauvFJR0xKkzdLOUaCJ/h65lHjukN7YdPIrcgmIcOJpntiepKWfptoK4+KIL8Olnn2LPnt2YM+sdTHz4QRUOoLF96+7kXU/tg0uuvtHwatBJ0cRj/H+qWO1TW468nQ6szR9l2/73r19rTGsS6TzyuP+uXIlff/8DJcc5mZ3THvXT03AorwDTv1qMnPRknNed4rO5tZvafbuMFGzOV0BbdyHnIRTm/dZ275FKYr10NOnZBSdbokgWisSGawfQtj6tMO8YvprzutmnaH2OoYgR7T9QXYVj635nG6X3uBCV+QdwfNdKobCSPBwynEgAcC1VVbAsDxX7lqNs8wLNtVy3Zldasd1BDXB7YlORt+43FO3fwcjRqq2YbeVCTpbtUqpVAQy48mYc2Lcfs55/HCUVlSirprhuVQl4M4BtA926K7lcl5yWgTE334pPvvgSN986HmvWrsOlI6/ANdffyIjUcvMLmDWYuZeL2Oxw93CvBq6lRVl6QOoA3QbGhUs6n7eB8horP9ZbH36JT77/GccreMy54YVpI+p95a1ZyMnOxvkXnM9A9oFDR/D888/jqWeec2AMt5GfOayTMq7upRmRrycYYh49CSfp9ce+BVI62UB2WBt2AtA6vI5gVXZyG6f52LgEjBwzHhdffSP279qBFX8s1qznNZuoj+zfi0Ufv4fZzz1e53ukPNqH9+/F/6qYQ4quBNWUczVUeQyy6F933XV45JGHERcbK34xAuTVOucr0QQkTSla0+8nWN55dx4+/fIblJQQkan9UhToJhkoPj6eEZqef/55Zn9q91yNINNFLLXGZ/PqPkm8cFJfjzs9G66YOHqLpkZaPGgp/CktiJM2RGmzrdyCbg8KS8rw3oKf8e2f/+L0bu3xygPjUC8jnaf78HjRp2dXdG/fGlNnfYhzBvZnGj9GGsGOIdJAuHhci3S9adSkKQvwb9myFd6e8z6+X7AAb858C5lZWazTkZZYGcOiE6AZ7jZG/IpyzyFCD7LoP3nXTYiKjsU5l1+DXoPPRU+KvZbEX4LMxzHvtW29dIHRc3DLtqfH3BjAVVqBxLl0Zm89FkValXnjUh2Z9b1Zg75I/mlruDqokHmDeQPk+Y0p3+wldzzKGEt90bHsGqhbYOegXNq0t7iG3CP78cf3X+KK8fexMASZc5t++33BNzhvxBViv7rBbCeNnw6WnLaPjeIC0cmW5B5d2bcQKCzmXbzRb+nLMqe2zVqnAz8SGJmLJF0PT9jM8jh7XIxUbe7+/eiUlszAN8Vvd05NQvu0JLy1cgvObJ6NULUHIU8AQRJMq7lwKq1B9G7IxnNWpxa4uHcnrN51kJHQRcfyZ6O9fmGVFMOXtDqzSt+T2oYVlhOV8gdTe+E/Un5UyvfMAY6SFnk7kJ0UP4saOvjZBUWVVSnFw9tvvYlFP/6MS0cMx/jxt+EcSukA+0XLPkY0LuOmxPvlQb3a77QP395qO9o6di/aseStyNNwgVnkwxXbGqDeBYx5aDLKysoRGxuHARdfjsO7dyCraUsVpx3iluvjeUew8bfv0GfUeBbLGiLFi4f6Gg4sgwQw3SG2TyjoQmqb3ijY8o8SvsVJ+aWK/JR1NYWKA5zZIcty8zuZ0vKMXohNTkRpQZHjAGe30MopPQuVzVePT9aEIpsQphZ4J9mrRQ66Ns/GjyvWIy4+3uY2LjTjBCpCQZw1oD+mvzETt946HgMHDULzlq2ERVGk/LK5UzOliNuNbz6Yg96DzkNW46bme9be+/8rRRdALI+GCP0g30EoaAyBzuz7C4/lIqd5S1OoMVz1IoN8Kq1bt8Z9d96OuLhYoLpS21KVeqnJ2HUoFwuXrcGjl58Nn9/HSLnImk39WOvMFLy+dF040Lal+SKvEr17ONHS4bwBLDXRyRYiy2E51+X57Tmz5Tgqc7BTXm0hUKdm1sPWNf9qY7H2LkVR5E18WnpkL6pLi9l8bMO2iK7XAnn/fo769TuIsYe3ffJ4Yt5OIuMEX0/sPonwpjaDOzaNk1GGgnzsVkGvlmwXYHmgKV6e2NU9qD/4VhzftwZx9Zqw8YH6s0rmgRNgykQrtEWUtMYtUa9JS7z6yF247clp1r2QLOUPuRH0UKohN7y03s37Bpbb3sVBn+lVxL/Zxs2a4+bbbsett93OXNQXLVyI2++8G5WVFTjvvPMw9MILkUzx9mw8EwoGnXxJc1PleX2lRS0Ytk51RvL5iGOJdTUW8RxeevxBlgI2Lj6Jjc1Wbm2WJ9xtybB7Dx7GR59+gYmPPAivL4opGG4dPx7PPjcVMbFxDDBzWVWzZBvZcUyCWp3Ul3PsyG2UvGm3NmfGR/0nGYkUxWoMVQfWQbZc42zJdtrW3MfuNv77ou/QZ+DZyMppgpbtO+OTt6ej++kDwwCVUyFDT5fT+qNh0xZ1vse4hERUV4XzQvyXYtff6ng2fGp2wrQtfd833zwW11xzDU7rLVKP2dpvrZK1LltZoT9cwnDp68Lm2QnqdJ8vTJmEsooKxMXGaKoVdTMyGG3fvn34448/kJOTg4rKCsSS17QlMQpZTGAFOSab8p64bdv5rbPV4XJPFi+cFNCmAc9TrxkCh7Yr64kD4LYGbydNh7U9FyR/XL4O8xf9jtKKKow690x8++oT8Eb5RKoPD4//Jku5y40Hbr0Ow2+ZgF+Wr0G/PuRaRjErPCWImpdA28OOccP1N+CuCfejffsOmDv/I9a5VWsdT+3gWriRaxbmvGPH8NmcmVi/ajkeeOFN3DHlZbi9PrYvaV3tbIoW+7YExA5AGxG21cGy7CCdQLYC8Mqt2wLkukZPKzrphBkLZgOCNhdcBoDdwkgpsSFcaNb5FD4wCpAdZPvQSSTg5uf7bOariI6NxVkjrhLXzw9O26SkpSP/WC7SiIGcASQlONXaPnXNXo3u40Cs/8TZxvVCCoLU03rj4Jffi2epXaUcGGwg29CsSiGK7p6EkxAH2+LorMcgUN0wKhoFlVUoqKhEqidapOly48YOLXDHryvw1+5D6NOsIQfYHjcDZlIADYqXJi2pr4y5BIvWbMPoZ97CrAk3IDomxugbZZ/JhAiP/tRlz6+BayGMGuAbNrBtvQ0Sf/mygIJaw6EduEDGwLjRsbsweNAAnNanD6Y8/RQ++ugjPPbYY2jcpEm4hkCiY72v1gG3A9hmLU/8FNZEHLbRd1dgyxbzSo/GBXTq0cfiU2jWrqP1NKT7eFAA7T8/mAF/TCy6nXspoy+nPsZLINtDfY4bnmAI7qALLqrUTjweNDlvHEqP7EZUemOhEFAPI1Ke5ojFBQzoePJu4zKfdvtz+uGf+V85wxvx0IzhXXzbxNNMQqNfatUiSFZM8aMfWmxH6+69ZBCueG426mekMSHDYr+3paLzeXxo1aoF1q5dgwkT7mMxoPR+LJAWFq9NwrwLbTt1xZIfv8Ww68dzYCQaggVGtWuty1Bs/2bsv9W12L05DIBm7w+dTmC3BtjWy+PeNvEZREVFhe1jHM8+zGs1OSkRZw8ZDAQqIz6s+LhorNm+B/ExUbjurD6sv+Agm7f7GL8PlfRuHYG2OleK28vys8e6SMQJnbh3xn9wG2e35HKxlJFkzeVKaz6G0rUogK2DbgW2/X4/mrXtaISgWMKkeFZq3Oe1vOAo4nPaij7MhfSeI7Dv66dQum8d/OktOLmglmlCWbP5x0aH9TfiwjjLQGF9hxyo0XXwcYTLWHB5uZcBpSSLTkJ8i1Ox79cPkX3mSFS5Alxhx7xwAtb3pJcuZ12Mjn0HYd2qFUhLS2fGEMl0HQq5EfKQHMNz+3rp0gUWDWoKMev7tHgW+HJKeiYjTbt81JXMC+r7b7/BmJtvQWxMDEZfcw1OP/00uElG1EA2B4DhIU0WF4RYlq6s/EEJPgnLY6buQLtvn95CplFyMAfYwujElj149qVXEB8Xhxuuu571UeNvux0jR16Blm3ahMmu0gCj8+bY3cfNLDpq23BZU91Hepz/P38LlNWFwjWttmvr3u3z4WDb+bmGbSvu5fcF32LQ0EtZ47j85jvw+LjRWLPsT3Q8hcjAai6kYBs+5vYTusd+51x4wgRZsliA0KGvDgPbdbBmSwB87733on+/fjj/3HPE3icIsq0za8o2MV5bx7AEJzvYrkNgu4tPTu9zqjWACklLu171TJ977nlm0b777rswb+5c3DjmpvB7F4pLU6araaRVZ6pLOVm8cNIqW09WU+EeTgRovFqu4xZBmi1dgRW77UdlyIUFyzfglqnv4KL7n8OGPQfw9J034pMXH8MlQ86ELzZWMDOK2BZ5DI8PF549iMVoP/biG5wYQmMWN9jFPUR45sP3ixZj1LXXMb/+2++6m3XWTjHP4S5K0k2cu4fLtBR79+7Bd59+hPz8AkZo9tib8+GPS2CuPhYZmhCurXnh4q1isSPnxWbb6kRomlu4ysNtIzWz3MZ5lS5Wpjt5MCIBmuEmrq1zjMvW435sMdo6oKciAaVF2iKWjxzYh58/n48Lr70FMXHxalsxd9eTLyI5Lb1ObdHqXBzFU1dEkO0+yXgLe8kc0I8/12rx7KpDqKLK5tXz1uPN9GrkOCdmcYrNDphEULQ8LKs+5u/co/KjBoIY0CATbVOTMG3pOgQquYt4oKqapWUJVlUjUFnFawXVSlaDFRUY1KEZRg84BZdPns5yK4bIO6W6kruRV5O7uBmzHbKxkZO7uJnGKzxG2yRJC99WplxyzMftsG9sTDSeePxxPDDhPjz88MO4f8J9KMjPM8nObLGMeiwt38Yed627ckZwRQ/DESbbsp2t2prqxxfLf3z9CbNq69dTcPgAVnz/CU4bcT1i4xPC2MjtubYtF3KPC3sXzkCggojRtGvXzmsBImve/F1eB4GC09pk/OdvodOFg+s0sEkhVX7zBIxyZZy2JcBqRdwf9Z/RTu7LIeCCnh3QuXkO/lq3xXCNVW1IMenfOe5WTJkyhbUrxuFr5c7W3qXhPu5C1159EBsbHx6jrwtJFqBytvSaNxT+u9GObZZ1p+1M1nPBXq21T8uarUlyelywfr3m8cVWwkX+4O5dePPZScZ3oY6lf1M2JnKxfXFxEUsvw795O2+DOu+eQ7nYe+QY7hx+FhLjYqwbZW1ZKA/j/T6UELEgsb8KDyDLbVw8g3SPj4UjGN+8mK+t+GKi0G7w6fivhdzH2WPSTmk+O02ZofUb9E4HXTwSZSX8u5bvkxWdx0BTsic27YSUNn2E/BxCfPNeiEpvivwVH7Nx2bT31a1wazn/dhRruXIlV2m/AgjBj6rjBTi66mcer02yksivTS7k5DpeVlmNUqoV1SipqAai4+FPSMWbkydg6W8/M7dx5UYeMGK4eRy3DNkz5TRzTOVKMznekmwx/LKReG/efEx8fDJ++f13nHfBRXh26ovYs/+A5loeLj/Wlj7MKfb7RNzHpdu5no5Muo9T3bX/IGa9+z7uvON2JueOuvIqnDlgEIYOG2aQm5lg2jQSOcq5GgFvpBSyUj9JzSU9Luq/fwsiB7cRTy3bmWb9VHKjtmzDbLrhKFKJS0iAR4wTfQadg+btOuK9l5+zYJxNz2goFfWiywo1ldVL/8SXc9/ByRf9JObZDLCt9xdO8oognXz44YfQrFlTXH3VVXxnS2HkYNXWKztF3foI5omhX6AcpI35mmqNRzemu3fvwaw577JvYeRll2HhggXWeSIqG+pwlhMprv+AF04aZbgzcjiQZtpaOaIq7Rx3f+XLpeUV2H3wCHYcPILlG7Zh1ZZdbMA7o3sH3Df6MjRr1JC7uXqUBdpwpREsi3wd/e7GY/fchqGjb8GPfy7DoP79LOu1ch33oqC4GPc/9ChzJfzw408QFR1jpj/QyCHUesUq7kQy9snsN7FuxVIMv2E80rMbI7VhI9ahG/midZZtmzVa1xiybQ0gWsP+uhVcXLMOalX6LOk6JIGveT67tlIW03Vct7TaQQlXdsvXK42RTNjhRmvz2xVdG7dki2twufDFzGnM3ebskdeoe5TyuQv488fvGajoN+T8GtthbR+S3nfZtyVwcbJaSL1kntmXpRphMc921yTdwO2QL5Jr4ZSGng0NwmzKmz+5CnNip24Jifjw4AHkl1Ui1R3N47DdLtzaqSXG/bIcf+w6iDOaN9RcRMmyKa3oOnCnPN1BDGjXBMmxUbjiyTfw9j2jUT8zg0MkrZMydYpihVvclDQ8B5XKLhxi6S7junVbNCRLESo7ZnM73nKkBZwfr03r1pj73rv47fc/GEHGkLOHYMxNY+ElZZz20snKzKzudqu3zTRtCL7S6mrHefRMxfvTd1cuSxyg0XrmMsqsUzpA5xarVl26Y9vaf5HRqJl45yH89O6riI5PQK+ho7h114GNnBOiueH2cMs2vXeyIGefeSUO//kRGg68XniWaDcrwzboWoRmN2T7Xc72aZ3+P1E6dTinPzw+L1P21FRCtkqEaEeDVchGtKl0N18CygLBGnPeP3Ll+Rg+6XUs+vtfDOl/mlLuME4BPiUyqEYNs9ClU0cs/OF7DBpyjmERUyCbryMHk4ArBL/Pj869eqO4IB8xScmaf4bpycAsk1a7iuAqIUUE8T7UJvLb1fcxpYYwBZExb8srGnZOU6gM/12c32bNXv7Hz+jRt79SYoU5htvAtnH8EP7++2/0PrWX5sqvkd5oYvdT73wMn8eDsReeKQYWPYUXD4NpkZaEHUUlaEfKeMNtXD2DDLcPx4LVyHHbXK8jSueqp2sz8DT4Y08+VY8sfp/H1lfYnpZsJ4YrNG9zq5f8An9cPLqeyWMR9atUljslA+z8dgYye10MTxx5gPHjp/a8HAe/m4KKA+vgTW9Zu7XV/jQkQCcFFclhlMYyQFbsKmasoOsKMAUHrXMj47SrULTxJwa0Xe6ApohSN6DAIJdZotOycMPTb2Lnyr9w8OBBZGRkIEjhAiE393Bxuy2vH2+IKx3Juk0hN9R3KkWns5VbupbTfFb9hpjwwEPMdf7XX37BpMlTkJ+fh0EDB+L8885lLqnMFqbczzTXcV05xJ+QpTCy7VNj0WVlMWWAhQZ7a9CndW48/dxUJCclYcg55+LyK0Zhwv0PoheRr+qemHoKL8tNnMuAzK1cyLm69Vp3H4/kUSkLgeyTSevlFKcdCvGUrbpcJEG2lIv0302o5bB9DWqjB5+froZ9lwtXj78XE2++GquW/IauffpZY6IuGtjHfUMuqKX4oqJwvIhCpk6u6Ao4c52rFrCtxSeLbSY//jjS0tIw7pZbIliy5eoTA9bhVywj7WqxbEcskZ6sDQy4gKeffY59C2PH3IjoqGgkJCTg6JEjSM/ItDzbLVlMyH4ym0QNQ7D9rDUqIkk+Olm8cNKSFUtLkNYAocIj/BaFq/Dqbbvxw1+rsG7HbpQSOyxdYJQfjetnommDLJzX71Q8dNOV8BEZGhsgKfaauyNJN3EdZOuuNLwSmHbjnLMGofcp3XDfpGewtF9/eEkTqLmMf7dgEaa98ioefOghnNqnL+tIrHgWG9DW3WlMZnG+nJeXh3dfewGtOnXFoGFX4OwrrmcdGWlXZQfmCJbFezPIH7Rl8bOtw9OAtA1k6+dg8qMVVxMehy2tzbr2ry6aQPWCBbxxsAxaAJv1TPwumMBAIEOCbS2yl90jQS0GfIBdm9bj168+wpV3P4qomDgNlJI7Mj9uQmIStm1cG/Ha7PM16ckirY/7DwQfevElJiDllG44/PvfBtCWRWludVI49TtPB0XxumKgFhK72x1CyCNzoXIUfnmDhnh7+y7c3b4VXAEXXNVBnF4vHV0yUvD0ktXo1TADTP8sr4O5C3rZMdw+HqPHc2VzANKtcT08f+2FuPbZd/DSLSPRthl3Q5adjg625TsiR1++REot/lnq4QMm2BZdILsvsh1KgG2+FSmac4FGJIa2eknpUq6/TRfOOP009D3tC8yf/wGGXnQh7rjjTgwefJa1Fe+rNQSt34gmAfOfBai3Vpsu6BYmtbuPi8GO7iyogy1phRLCoBwIOvfuj6LiIutb2r91I5Z9/ykuuPkBxMTGM68ZpnO0AW0SMKs9LngIZHt4nDYJoIlNOyI2qyUClaVw+cgCKJ6puEguMOsA27xXrowJYUCH/+Y2LktMUiKL1d7005912l42+TSXD0fJi0KGkIQpOviU3IZ1oK2+J36gc7q3R4O0ZNzxwjtY26cnfKQMphRxHg6wESSfVAIBAdw17mYMG3UN+vXvD29UDOcxYFW4qoqY0KAmzO/dvpURNVK4i3QfV+9cyRYc1KmBX7sT/l3pGsAw6c6YCS+1gWz7VDui3ZodBro1RYPV3wNokNMYXXr2NsC3k9XduCZt3a+/LMZlw4eJ79CegYCDmVWbtmHOtz+hXeOGiI+JRrCsVHv/0qrtQovUJGwvKkb7hDib+7i6jgyPH6uqjxv3FnmM0NWJIeGV8d8LtRm/x82+aSM0y+jJdKWE5AhwoU2XHljw6Xx0HyBJf5Raw7L2WTgvhMqiY/DHpzLZRZbYxt0RldkKBcs/QPpZDzpamFi/qsnHYU9G8z5gJGquagTFg5aKD1Iyc7I6D1I6DcHuH95C9plXAImJ4rrJ4q3kGzZlYM/DZJUYnw8te/XHhj8XYck3H+OmR55Fvawsxk9Bn2tAAmwC3axvpErfpple0UytqCsw1HruGOFF/4GDMGDgIJSVleGXxT/hyaeexoEDB9ChQwf0O+MM9OnTGwnx8cyirzJnKImGDw3h63m36ixgqbRINqCtAWy2t8uF1WvX4t335+L000/H45MnY+pL09CkaXMttNHmMq5x91jpuywZVwPa0mJtA9i6YUcvmfH/3ZptfQteDyqqOfu3kpFsqSAdwbZ5Vaq7dDoCL4/eei0mTZ9jLffsPxjtup6Ct559DC9/uoiFXplfvSjasK9/E8a34fChpGdmoXHzlvivJZL8Ch10O4Bs2U+/PG0afD4f7rrzLq1N6iA7dOIgWwlTjg+pVrB9ooULLda+q9fwb+GZp6Yw13F63+eccw7jYbjiyiuZfCNlVXuJBLJNGVU7cQ2PI+4/GCJOnu2DxOx6TZF3vAyf/LIUNz0zAxfc+zQ+Wfw3Tu/eETMn3okvXnoMX0ybhPnPPoSn7xqDsZdfhJ5dOrJYRJ5DUKbk0l1vBOujQ/oFw43H68OLT03G+k2bMWPOXIs1cu+hI7jquhvwx5K/mBW7V+/TNIs0dyuSMXmMfVFLzUW5HHUW8aLSUpSWV2LGc0/glP5n4dTBF7CUYpxtXFa5vXI1V27j9m20NBZye40NXDFq2lzB7W7jjBGc7xdwdAtXrOGRak1uRM75smUHrRNu6KRFvFqEGrbfdKXCe88+ggZNmmPQiKsN7aZeKJdoer3Iwr+jwGTvFSN841JPEOs/+ZQV9pI97HzefkJaLlBR5bzhLk7bWWnjRDsU89Zzpmespfmi2iUuEUQBMX/HHovBnFjL7+/SFlvzizB39VZUl1eyGiirQKCsEtVlFaqWqnn2e3klWqYnYda4y3Dfmx/j+yUruBt5VQVC5EpeJd3JaSrdy2lKLOUEXHh10TTkwEhupAWT67W83NKll20rXcZNJnPdCmZ3JycBatQVl+PD+fPx559/YOTIy7B7105T6JcCbZjblc1l3IGh3K7IUavC89o6tzUzdjs2MRF/ff+FAPchfDR1Iuo1ao4+F4/i7VJzVeY5nMWUcvMyhnJiICfLtkr7VV1ejN3fTDPAkzyhAlNOFk6+FO33YHCXBv+zb6HnqIsc1+ugWCkdeY13e1AsUrBIkifrEsWLoHshFnbq68SGotMRfo5MgRTA82NHYvv+Q3jj4685iz4LgaBpFVyi0jzFAd943TV46cUXVV5zYcFmul/GJail+XK70HfgWfjrpwWO+bcjuRga7c3RRVF4dtSxOrmL67ndVZoys606AWvl6i3T0ynLqjz2kQN74fP7WT548zq0HPXGNSjlIRMwQkGsXr0anTu0C8s2IMNPCMTd/tRraFI/E4NO6WgxZMsQA+sxuVxomBiLw6XlKo+88PzRa32vD0eCleFKAO3z+P/Yuw74KIq3/Vy/9F5ICDX0DlIEBARBigLSpIlYKCIoiKKoWEAEUUCRZu8KUlRsYAEUCyC99x4gkJCE1Mvl7r7fzM7szuztha7o/xt+y+7t7t1t9nZn32ee531eiOefNZvTiQY9OuJqNafdqhv80A1MGKwj5y6lYmW06nyHGlBfqMXWaa0Yxop/ldmEmBb3wJ2dhoKDaygQJvuQOQEafFmd00kgNlSkwRRRrGSeUkKSOZPTihZEQu5Wy36FpTbFoS+mo8TlpiW/uIScOpC7PMgnU7EiH1enYg+qNW+P7g+Mxx8/fYfzBYWKI3mJJiEv8nho+S4ycOEq8VE5uZoiRyfhOSq4aatxnh+JAtidQejY+TbMmjMPi5Z+gT59+2Lv/gMY/sAIdO/RE8NHjMQb77yHjVu2oYhI5AnRY7JSuTmVnOtrcBMpuFS3W5toPW8uOzfb4KWpjeyzTBZa/Wb3/oOYOWs2One5nYKKx8c/iY8+XYDyBGQbOIqLknHRDM2oPjaNEYVKNlrJWgP5ODPvLRPuvGr3AldMqcAnUI62EbwOhIEk9aTWyDkQG7n/Hnh6Mo7u34NvF7yvrFM2CApAeRzEL4wsxUwyLCIKFarWwNVoRnGFelxGY7Fs/tuaNdi5cwfGP/GERnNdEcgWvkAaIPJfLl1GfvmNXIOjHx2HalWrYtiQ+9X1lStXxokTisu7+C3G1R2MByWMB13Z9+om0kKvgJi7IkrPHZ6Ap95YgBvrVMMzwwaibGIc+wuZ47H0dGcXtMpOs1E8SSJuzGRTppq9FpfrN2iI++6+C89PmYbud/TAki+X4cefV9IRwOo1a9FORwEusumZ6NCodxLnuc9rflqBz9+dh5HPvYzhz7xEtxPArIEgzVzCYyDRVllqI0aZ/5K6wNNIFu4NwEjLMnMjt3L/9/Dv0O49Jq3gzLX4415ILk4WKPjho0Zcpiww91wBwqUgJmDt919g/9YNeGLeZ1Tqq+0jt7jEJFSqdukdl18QabCdtBCn9apIonircEdn/Pn0SyjOzlHXiQMM+i5NNEIzM+k454/pcRNzJpKHTcyAeOkaFs0PTU7B68ePYNHh4+hdMYV+UdXQUPSslILXN+1Gx3JlEBceDJ/HArPVA3OJBV6rBWa3B2Ybkbh7YKY1t73UZIscS1ywHQseGYAx732NPcdOYXSfTkwap4xWElacgGAymEWCY8K0K+w2+6FJkEb+IMJu87+aGkxR33QmDeej9uS60S4s2klzt296XREpojDaL3b4jN3mdDIxziHz8LBQTHz2WRw6cgSPPPIIunbtirsHD2bMNP8BZJaafwZlow0k5OS4uOuuL4B8PFCTg2eZxSLXf2eTCetWfImD2zZg5GsfwWqz0QEVFfCwutkio+0hJnekH7OY4PEq+5C/3xkVD2twOArS9iA4uTo1ouN/p8KWiGy27nQA6Fg/GVFXaHgjthv6dsWisZNRmKXdC+rXU9UK6ysE37NgkwV5Po9eScxAohb1OCwWGvBKn0fTIRQnZTLo0715PVRKisez8z9Bnw6tkVAmkd4L/LlCr0nyXPGY0KNLJwz44gHs27MHVWvUpIwZNWFiTDZJAeD522SZuMc/+cocSa4qPdwZW81H2bXrQXSo58oN4Xq5yJF/GaD5M9nq8YifLA42Cdem1seLHgMCS8i2fbfgA7S8pZMaoFAArdZt196rXevys+OvdevQ5IYblL9fZ0zHp0+//gF/bN2FxwZ2R61yicIDRJSzKgccGxKEswUueUBJLfGlHH+4xYZ8MrCnOxb1b+f3O7+O2H6N+nRBaMzll7gzqqedV6R4D8jPJfbMZaUMtWCQ9Ecm2h/s3rweydVqlRoQ8kZynen1ryQfqb+tM64SQqvdjPPbvoQzpSFMVicD5Fz6rFyzanoRX6/2H+IDnYFswjSTk+jR4jxqukn6KLMZzviqlNkuLixkKYRiihyTNBM2m8Y6snlreHIF3FihEn7+4lOcPLAHg8ZOQFhYKGyEOfeZYDOTr1Vk5LRiAx0UI2oiluahDoApyUpERcfvYXE9uccV8zlN3m6GGdVr1UGNWnUwnNbp9VE5++aNG/Hl19/gxZemUWfpcuXKoWGDBqhbrx6qVUlFSEiI7koqrSlPArfbjUOHD2Hvvn3YuXMXtmzZQqvXVKxUiRoOZmVl0e9swogi1eNGVyPbyPhMKgvrR5QYSMaFWFJsZaOCrqj0qb4F263ILnAJAEZTZkhnzwBUC9hcfY8MruV3NLmJpJ7ILbVWXXTscxc+njUNN3XshoiYWPXRKL7b8F6TQJt/O33iKFZ/9xWGPPIkrkbz668EsK3M5OM5k56OKVNexOcLP2fGg1eByda+lS1qcbwRc106s3157bPPF+HPtevw/ddfUaaeNPLx0VFRyDx3Tgzj1LhN/zuZjA5DfjxLzWh1qNNGCY5/BGg7g4Lx1uyZ8J45qkqJNADN5gxkK9s4eBaC7gAgW3VgFAG2DniT9zz37DNYuOQL3NjqZjzzzDP4fPFSxVFcLHcggWtBLi7kYvNRv1MnT8IZEoq9u7bj6TkfwuoMoiy06DYuuzYycCzJw+UOTAEajHzR9SIas2OQny3IeeScbXlfI4m4Br6NncnFnG0lsJJlHmJApwFsdnWyi5k8rKhUnN5/siyaBtP0D1QCa9Jys8/h89dexA3tOqNmkxayZEgQ8vDPeXPaJLz09qelXoMBgxBpmEu3idaFvHrAgjRrkBOV+3bHtrnvy39X6WoULT9byyhRgiCansiCMLMXphKyE9cFmjGybAUKtmfvPoD+FVMQE+zE8CoV8ePx05iybjumtWxAAbbZShgLM52bbQroFoE2BdsMMBO32zlDuuP17//AsFfew8wHByAkLEQIiK2C3NMHE5G1q0kC9K9Vjp2O+vPkSOUCMwbcUvgvyMqNAHcgSTnZovUzlSpUwJJFn2PW67MxcMAAvDZrFnW1lTpWtXfW1mkdtSarFvOaeUfN7wk5cNb9psJcfThyoEVGvyOj6L2w6LUX0bBtJ1Rt1JwO4lGZuXAsnEWVZORMPk4YbqVkIDktJqTcMhieYiVVRzm17MGnDnKxc69cdNrPBRP6t6yAq9nsQU7cOLgXVs58R10n3+v+UxDMyCeBvIyxpUFx8rcGWSzIdREvBF5P3qtNrP47LG588Pj9aDv2JYyd/iY+mjpeSUsSB3BJ2gUNvM14adKzeOjR8Vi0eDF1P6dgm/W5JKinA2HkbSywz8/Jxmdvvo67H3la7Tt57W0FPCnnWAa4GsiWf5MLD/z7D4AKRmwSI60BZRWA87cZgGFussWPW8tPZ0CadvJenD2VhpoNCFDW1qvXpwpS/GuP81zZhQsWYviQe/1NExnozsg8h8dnvIkebZujsKgI9SulMJWL4PosBIukrztX5NIGGIwcyDmjJQBZv3PKbmTxydd6BDMPukqNHGOQzUoZXHkQWEsxkBQC6m8AHNixGS3yesHkFIGcPCjD73ViQpbYMg7m4Fh50MFsRlTjvig4sg7ntyxGZJPB9DlCTg93wxDPLx1IFEG36kKg5SFTpYGJlQojKhIiJy8h5QcJ8CZpGSaEpNRHzqGNyD++HRU6DVXjDx6LqQw5A91cDcfjpqZd++PQ5rX4+uN3cMd9I+GxKhJyUuLQajZTZYtqEkmk5bSvJJ9F1onXIUlZ07uV84EOXS632vdqBoLxiUnoeFsSOt12u/q8OH7sGLZu3YxlX3+N/fv3o7BASXGIiIhEfHw8YmKiKSggZlzk78vNzUVOTg7OncuiOeGkEUVBxYqVULVaNdzUug1GjHqYVv/IyMhAi6aNcXu37mh+UxtKFKnEiprjLrPYGoGkAWoRbIt+Q4EANh8IIY0Y3J07cwqN41Ov+r0QYrex/jswGSHFS2L8VAow0m+qWrue9r2MviD/3/3wE/ht+dd4a+ozeOzludrH6gbV+fvEz5AWdB2Kx0Oc9q/eoIT+S0TZuFHAO2bMGLzy8isICw0xANYBQPYl419dwKQqjUxXCWybpFcZmZkYP+E59OjeFW1at5K2RUVFISc72/9QhNBOCRW1jTwdkMdupR2RfltE0JWpX684SdUcVx6+c2kCcGaMtviaNInFNhkDav7ab7tFB7aVQP7YiTQ8N2kyGje+AStXrkJoeASV33BDMxkUy2w2Bc6CtKao2I2F78zDtr/WYuzLc9FzyMO0gyIgW5LV+IFs/05LArrkb9cBW31OSSBAbGiIVqppmv92/WciANBWSnBpTX34iwdKTa+UQFIlzQJOmvEZZ68+nTaBSswGPPpc6RcVTeeVa28aNbnz03NCsqkP3418JMmb4y6YV7PVvLcfNsx5Xw3eSOO/f8C/QcjP9glqARqsE0aYvCQggpRRYSwxARhmqw8jk8phc0EupuzYiwi7DXeWT8Yj1VPx7PbdaLs/Du3LJymMto0z2x6Y3Rb47DLQ5np/pYSUD6M6NsfqXYfR67nXMWvkAFQpnwyTVam7StlsH2G1ld9YDczMBHhbVLM0lTVU7+1SADdjtznLHRhwi56hBiXD2GgrCb7GPPwQtm7fgUEDB2Lyiy+iQYOG9CNJIKaceIHZZjnk2vXCjcTYa+F5Iu6rZbDL15f4HqM29LnpeO3xEfReuPORwPeCBtTEQFxjuxVGm1R5M8EeGoGsfRtRcOY3xN1AgkJeU5KZgrBBCeG5Qz+3ZkoE6lWIxtVurR8YiFWvEhfWi3jAsjquZh14kPdR9qsSEYa5O/bDy+TGZNCIyFdN7hKYqGrDTdUVjSolo2/bZvjoh99wx82r0aPjzaqLNu3DmNyN/CtXJgE3tWiGzxd8Rh2K6f1IGGwzKS1EapgrZYYUttuHcpUq48SRg8g8fRJRCWVofXqtDBhT/6hKHSUHngf06i9iUkAB/9O0oUYWUBl0fdogjMigKxeJBhhkkK3fXwHRInMtS8ZlB30Tjh/ahyenz6fghqcyaPuJUnHj1+ezz+H4ieOoWY14ShRrKSI8PcTrxUOTZsBdUoLpo+/BkEmzUDU5DiguUvsnSULuA4pLPHDyPH01V1hnimYyIcJsRS68cF4gQ46XlCnfqA4qNm2Aq92cdht129YrW3j3oQ7GsPJeXLofGRsPV0E+gnRAGwZS9KjqNyB731rENrxd6R9IaomXGJiZYQuJRFSzu5H5y1wElW0Ae1JdpXa9R/ku5dyyc+wVy1wpJRfZA1kxPeNPU76dM9wkJchDpOMK0CYfG1KhEVyZaTixegFSbu7H3qcNUorgmi8rcYoCvCvUa4qqjW7Eis8/wvmMdPQePhpBDgeIOIXcOwR4U5DtJQCcLdN7VEn/UFI/2LVI7mMBfNPrmw180TKkfJCD+yrwxwTryzXwDSSnlENyuXLUvVz9GSmgPk8NmjIzM1FSUkIn0sLDIxAREUHBQURkpHpzS+o/KCllYx8ZA7e7BBOnvkJf8+2KOjJQyS5NmSmlAQqAW2HFAwPsk0cO4Y8VyxAVl4CEsuVxat92PNR50lW/F0KcNpx3uVUPfHZJaNeGsCxtu8T24ezpmPzWJ/zpp6pYwqOiMeypF/DKuAfRvH1nNG+vmO3Szex3UWvH0xc6WXmAlpCcgvaknNg/0H795RdUrlwJtWoSBeilgOxLPbsXB5YDg20Eeot/oA5g9GNPUOXH9GlT/d5Cnv+B8IHyW+pKKLINFwLZRoM6RNVBBkv/UaBtcoTAFBEPFOQYMNU86oSfo6K6XWWpAzDafDtjJMg8L78Qr8x8DTt37cLTEyagWo2auGtAfzwy+mE0atYc0bFxkjxcM4iQgTafThw7Ql3Kw6JiMf719+m+Lpbj7JfDIppLiO6NOsCtNzyTwLZ4Ag1YZv4eGYDzzlEbGdZLxEUW22i7LNGRgbbK6PHflT14qLxTRdxcSqw9KOWJBf4ML6rfSVxrf/wGG3/+FkMnv47I2ISA15PIivcf/nDpt7Yp8IijvnMUY/cw59XLzRZbZGoFJLVpjqM//2Y4ymrUTCwo4AZynGqgjDbH3UQRSEteQS31ZSamWVYz6jtC0bBiOI4WF2LJkTScLCpCtdBQvLBlF+qGh1OZJWWybRZY9NJxNvEHHDnnFGz7vGhTvTyqJffCg/M+w9DbWuP2Fo3UH1oB1yxA5eV6OLtNP4jVWiWAm50JlXX2GQFu/pfyB50oKzdfgqScisDVrrVenVr49JOP8cCDI9GlSxcMHEgMrDQmVwLJKtOo6/cFYzQVcAeahECttDbxvh7Yt2UDhk6ejYjYeBQT+Y3+ulDnnHnVTTwvlfxe1JnehIjK9XByzUJE124DiyNMERTRYE1z4ORYkwPAvi2uLpvNW0KViqh+S0vs+2nNBfclx0X8CqzSCL4+sFHOqdVkQrDVgoy8AiTYidzeA6/bA5O1BGY3MU8yw8wMMeeN6o9ftuzB0Mlz0LJBLcQnJqqmTeR6pNcLOUleM0YOuRdd7xyIWzt2REhElMLlkduRgm0OsgkRTsCmD0MeeYqWX4oxJencj7l5Gh+MlNNCqHJFfODzSgz0GhaVRLphQ0MArQWCorxQLfMlAW/lWvIH2RqoVsEGu8YO7tqOZR+/jSenva4BaGZG5cdmSwBbe/3BBx/gnkF3qZ4LinSc+TZ4vfj8mx+waPlqfPziOOScz0W1skQ2zk0bWf62CgCVTirH5UI489fQRHH+NbWTLQ6c9rhQwXxhB3Fyf7R+YACuRSO+CjarGS5Se0r/TOK/lwqyNdB3/7jnaI6yUotbu3fV31MYVIip2RzuQhdVt5CqBARkK2lBCmgNq9oaBUfWI/uvTxDXpQrMtmClH/WwgSB6zhWmmpon0t+JXJPK+VeJE/XomaKEqKzYoJeXstkeeo/wfjqmUVfAW4xz+zYiKrUBHaTlzCkZXFOMZNnncZCtgkulN7+xe39sXfUdFs6bib4jx8HGBhc9Fg1kU0dyGn8oEnbCYEsycpMsI+fXrWpo6NMx3ap6iQ98yf2/jAuUvzUkLIJOFZgplp9JF0tllGM+Lfb7cskSLPtiKea8/T5i4hOoKlNTOsoVarg6Uk1h1MWqfuw22yaeV8Jcr1+1AvWa34xfv1mCWk1vQpX6jSkzO7hH52tyL9gsZjpIRmtqC7GwFhdr5+xKQHc4YTzPZSI8Kka4YpXft81tPfD7D99gzvOPo2bDZn5lZH2XCLJJO7p/L4KlFIK/p5HjeuuttzBzxnRlhXhCA4Fsv+a76kdlDLZ9gf8KHpOwXnHR0i+x+Iuv8NG7b6FMYqLfEbqKi2mKhcEnqSl/qjJBJyu/0F+rj90jgq9c/XpVtA7m6LKaiRmpHamamvGJG0YQ8whtPTeFIBMxPJONJXhNQa22IDHEmP/2u+jdbwCa3dgcnyz4HNVq1oYHZkyd8Ro9OWNGPUgfaKrplK7mIjEa46Zk2efP49WJT+G9Wa8gOCoWN93ei9XNFszOWO1s/WteU5u+Vpc97DWfKxOpKcmNz/wn2RSNd5IkX+fQpt9RTGofS/k2xjUQSW653ujMr46ix4uMI/twbPMa5GakY83cp7B6xhik7ViH07s34eDv36O4qEDtuLX8HxG4Cw8InnulTmxJt9+59JNY+MoENGrXBU3a335R1xR536G9uy5qX5UdEF8LC+J28pANdlwboE1a3fv7o5iwLoIZmn6STdGU9AVpTrYxUzW6v1CXtLjYi+JiD4pdHhQXkakExYUlSIYdo8qUw3MVq6BDTAzySzy49/cNOJyRA3eBGyUFxXAXEGO0YriJQZpgisaXPYVF8BS54CWTqwhlQp1Y8MhA/PTXDkx4axHNuVMM0tw6ozRlIuZosvmUUoebuj6LNbiFiTBbvOySFoCLtbo9KC4swM+rfkGxq1A1XNPqbOvM1tRgXpmioyLx6ccfYu+ePZg0aaKyXQIfglRbDWAZwJVeC9eR0SRdeTqQJCxnnD6JQzu3oX6rWy7uXhADOlH+K+Ryc/ms2WJFuQ5D4HUXCQIj2RBNPODwYBtua1gW16q1HjHwwjuxIIBwHDY1qNX+aHWwkQ0wkYGhThWSsXDbAVonntaKJ3NWL57MvcXF8LqLqenZiqljUehy4a6nX6HXNDHzoxNhV1VztBI4rCaMG/MQpk6dSnP2CZgWjdH4nMtVK1erjtPHDuPwnp2KvF9gdCmbps5FpperEfyVCXrzO7Xcn2rSpqwn9Yv3b/yd3mdmaX/5GKTv0R+D39xoGfh07nQMe+xpLX1B+A5tHoDNBjnNLvz4w4/ofGt77b5mhohk+XjaSYx87hX07tAafW5pgcU//4HuLRup97+SD8wGBFV224fMfBcipT5cUwGI132S1YFT1BBNvvL9g2YTgiMj0Lh/d1yrFmy3Gcr3xWMTpftkvmDuDBzfv0cF06rqgP0W/Fq0WkywO+w489fXOH9oI00rIRMZiKXLVgvN+Y5rNZQeS876jxRDNKtNmYjvBpvospm9ZuZo6lxUKCp3p+qPwBUmSr1tYsbqoUatxBwNZjuKMk/j0LJZ1ByN1tmmJmms1jYxPHN7lYmYprn55FWX67TuhNuGjsXqrxdj8Vuz6HvyCwqx/rfVyC8sEkxneZzHa2xzM1n2vBUnoZwrN0kTjXP5s9jPVEx9Tbbr36fV9abbPNpExlk0Q14xJvXh6LETePKxMejSrQc6deshxQiGsawQz+q3y3+bMfA+tGcnXnygP1XlkH3vGD4WVRo0ob8vUQVUjA6+ZvdCqFPm9yRVsR8KunD1d/09TZYHP/QYHEFBhnEguYdGPjuNrnv92bHwspJt2mOc9SfC5/Ev0X8P/3/HpvUoyM+/4N+uP+7LaeJxkbQEopyICI+gqt7iYlJCTWTUGMgWg3aJzdatv9Dkd+T6YUPhq9UTb9LtY9Qbaz/S8RNpePix8eh1Rzf07nGH4RkodrkMgbbfnuzHk4fw/RcDEfykTw6/CsTc1UkqCI0G7MEKi2WyMjZLYRX4RMG1mUwcPIuAmwFwut1KQbWyXQHZbp8Jn36+BN169oEzOBRLv/wKbW5pr3ZopMOJionDK6/Pw4/Lv8fcWTNll3EBPBO3yuISHw4dPIATx4+jQcubMXLSTBBhF3GxlEC1AK4psNaDaz2oVkEzA0d6UF3CHTK5Qzh5CMgAm0/rl7yHjd98io1ff+y3zStMRg7hyjYmJ/J4cXLHOhSez8bmBbNw+I/vYHEEwxYWhUaDnkDzh15BbLWGcEYloMRdjD/ffgElnhLknj0plwqT6nbKNTzVFC+DRoKtd58eSZ3m+427NCnSutU/XfKlGKjz4rd0qMN+VWpnB2qpndvCmZQINxu9NprINnW7/gFN3cgVoO4ik8eLQo9PmYgLKwk8mIOry1UCFwPadCoogdXlRfeIeEysVAVpRUUYv3UnntywHbtOZ8FdUEJBN50K3RR0K8CbgO0iuEXwTVzLi1yweT2YPqgLaqXEo/dzr+P4ydPwuV0AAdlu7kLuFtzIuUM5WccmBroJoKGu436AWwHiyvYSv+0z5r6Jue+8jzlvviO9R3I3F0G6CLi9HhqUTp40EYmJCRg6dCiKi4hjscYWSwyRyE4LrxUWnl9H/oG7qAjRWCo5ncFd7MLMx4YhKCQUfUc/c1nXlwT+JVZLAduhZasg99AmuHLOaEZwAgWjxsomoHuTFOo4fq1a3dtvQVSKsZu5/tlN2BmSH63emmraKAHXGsgmzvttysRhz9lsbD6eDk9xCbwuNzzqVKwAbZcLvmIXysWE4rWRA7Bq4w5MfvMTuo5M5Pql1yW5jhjYbnvTjTiTfhq7d+1Qa5wrYJuBGgZqqfu72YTaDRrh/RmTqSxVXK/WPqf7K0BZXc+Bs25Z/17tPcxtnk2rP3sba5Z8iF8WfcCORzk+1Z1eAMT8O7h7ulqPnW8XwbI6WKAEFycPH8Qzr71Jy9ao+wmfT5ltPwabLTPfhvfefRcD+t5Jj5sOqAl52a6iQvQdNR6hwUGY9cQIlBQX4/etu9G8ZiVjkM0VOF4vtp7KQO3YKMnHRLpH2P2QYrXjNAHaRuGdDnw3G9yLegtcq0ZKG9FyVEYDeNJgnlYHPTImBhmn07S0EXb+SX4yYcjJRGSNpNwdqdldrlVPpP/xBVyZx2CxmWElQFuYiGFaXJsHUHRiC/L3kBJHBGRrYFsPuKkzOQHdFGwzwC2CbVWqR4IE9nt5NbBN7lVPiY9OkXXawx6VjKJz6RR806ooLAaig8g0xiKgmwFuBsAJaUJdxlkM1ahDd1gcQVgw9xUsfW8+vv7kXXz50dtK1RjD+I2tF6vBSKBZdCrXHMs1MC2Db2qwqwfYbF8JFItgWlwnVb1RJjJQ8MC9d1FX/2enTlcHBvSfQUobyhVs5Co5xQYAXvIW8gL5eXlYPH8mEiuk4pFZH6HtnffCYndKf2el6BCaKnKtGpHhkr5Cj6+5nPyi1YASZpJLGhI8sPT9N7X0GmUn9X6Pio3DmMmvYv2qH7D0nTl++EtVMqj/iQPe/mmJp44dQcWq1S/tRIipYeoUwHRNfJQLz8lNmzaiaZMmePW1VzFv/jzMmTdfvi85yDZGzFdGZosAWmIiAuxruvBHEoJxwD1DqMHga9OnBSQx8gvyERx8eYNBovpLa4L+RDgnEUFXBy9clbuJXngRCYBFB64ZcFYmi8xoc8DNSnfpy3fR8gdmK7787nvcfkcvZGZlY9GSpejbfyD9bHFUj3dgbdp3xANjHsX0Fyfit19XS0Bc6Yh9OJuRgRfGjcKyBR8hoUIqajVrxUA0AeACU01AuW5eUFiErIwMFVirDwEGtvkDQ2K/RWZbBdhamS4OsvWdetm6Tam0J6l2E8ORSa2cgzHYdntKkJ12GCunjUTGgR302qnTZxRq9x6FqNR6NN/d7AhmclILgmLKILpyHTS861GUuFzY8OE0pG1fpzBJYtqWYS62LIUS21dzpuDE/l0YMnkOQiMuzc31QjnafvvrFvzvfRN1D7yWjQQn9e+9UyrvZcRoa+W8DNhsNhGgXUQmArZLvCigQFsJRGi5FJcHriIPXIVuFBcS8EyAtDLdYAtF/7gyOJifj6ah4Vh45Die3rQdB87moISAbAq4GbOtTkXKxEC2Orlc6Nm4Bl4adBuGTn8PP6zdjKL8PJzJyJDANmW4GcutAm49w83KgHFArYFqrVSYWgaMTiVo17IZdXu9uXlTFVhr71PAtFQWTAe4Obs97P770Kd3b/Tv3w+5OTn+zDa75khQe3D/PmSdyzRMqwhw1fmt0j933n9lIq0hP2jcRIRHX0letOb4LElnmTt9WIXaOPHDmyzzVAzeteMjD4++za+NbFy8F1oMYbmZBk3vG0GAiLBVzRlVTM94iTslL3tCk1p4+Y9tyMrNp0w2B9mkXJ0Ctl108rmKcPfNN6B/u2aY9O4i/Pz7evjcnNlmjLYAtic/8xSefeZZen1xkM0ZbQVsK/J1spyYWAYduvdG+okjyMvOlEGu0SQCcJ2jvMpOGoJtbarVpCXNSa95QwuNEVdZdxEMC2XiBOaZg3ulipM/yCbbFr89G3/89D2CnEH09fFDB5CbnSX8Hcp3STmwAtgmP2N+Xi6WLfsK/e/sJd2TvOTfY5NnYsuufVgwfQJiwoLx07rNaNuwJgXpVLZMaUYGuEXDO48XG05loGF8tKi7FUqAaRJ4Ukv7nNctOMPLZcvEATXiKXAtGzVFc/BSX/4DdJzFFnODq9VtiJDQcEVSLl4rRIpOWGwCnq0WOGxkboYzOAg1Bj4JZ3QsfO4CxmSbKehWwLYFYZWbIqJBD+RsWYzis/spyFbAtTJXATcF2JzVJgQKAdkMcLOROkXW7NUmArLd5BmSpbDaFFArE7l3Yxt1Q9G508g5slNluwngFsG2CrglsM3IDBI7+Xxo0/tudBo8Eq5iF7Izz6J64+YUhMplV/XlVFl5VD1wluImdtnpS6ByYO3zYd++fTSG1FhrA6ZciEv1LLcEvtnyC888iZ3bt+HVtz5AaGS0DpxDil+NysVK5WW5OlIA69Tl3QukHT2E6WPuVZhrSmZZZBM19nfXiA+75veCYfqez39+IRwoDhyL4JRUh9j21580btC9Q9236c0dcOew0fjotanYuvY3vtUQ6GrPUX3qjrJ99KRXEBYRKX0TYV2zMjMu8AcE+EJhs/6FuG7Dhg3Uo+rmm2+muf160zANZJNWCuC+5GbCvv0HkJmVZXSkAd9zofb4hOexZfsOfPbBO4ihMZIYzCsnnRx1QUGBzu3/SkB24PSEyCs0QePtqg1bmcJjmQRcYbNVcM0ZagF0+0nIhe0ERHtMZnz348+4/Y6e2Lv3AD5buAhDH3hQGXkjbCAbTVQ6M60mNpmPGDseTVq0wtjh9+Ho0aNS53vkyGEcOXwQHXrfhYGjn1I6LzZaqkxKZ6ay1yKTXeLFpy+MwYdPD0f68aMqcBal42JNbD2YNpIXiZMeKMel1sFtT85GTIXqMlst1LDmzLUq9SZAzl2MzUvmY+NH0xGckIJWY2eh+m33wBocpsslF01IfJTB/uu9yfhz3tOwOoLQ4sGpOLHpF7iLi1QHUuqsbjDqqAygibk1yvKG5V/gt6UfodfoZ1C+Zr1Lu55MwPNzP/AbXRTGGQO/V2eMxt/ntFlojtC1bo3v6ws4nYbyL3Xi9bZ1MnOXHmBzNpstE7Bd4PagwK2w2yR/j04uArxL1IkA8L7h8agXHIbZx46if0wiBsUnYe7eQ/ho7xEUUxk5Y7aprNylycp1rDZhB72uYlSOCceix+7Gl79tROMHnkePp2bi0LE0FWCrrDYH3LQet7KOgm8i11VZbn1tYyYv53JzQWretH4tfP3BfDSoXV1bz2TlSu4nB9gGgJu6HPN9vbi1fTs89eR4DBp0F7IpkBacvtnD88Sx43jkoQcx4v57dCPMBky2sI1ea/rRb7Zl1VefY/mC9zH48Yk4eXg/zqYpNSAvu+lH8wXQEBxfHpFVGsNblKeL6jUpVcvqcagQF4pr3VoO7Qd7cJCf/4L+MU+Oq4gG7EKZQ8ZkU2bMrdSMp7Xjiz0INVkwun51PPHjOhSTtIdiHavtctNrlrDb5Dp8Y1Q/VC9XBj0ffwlHjp5QVBklLvV6VAZ+SpBSJgHt2rTCJx9/SLNFJQBrwEB3uqM3pj/xMJ6+706cPXFMdojXg2aBEdd/DpH/EvBE5hqDTaS/4msTUus2xOjXPkDFmnVUwC99nsE6P9CuB//C8qkjh3D+XCYGDH+IrjuTdhxTx4/GhFH369ycReCuA9sA5s6ZjRHDh9HtWl62Mn28eBnmfbwIM8ePROMaqbQm84ffrMTA9s3pMrn/FYBNBlWUwRXOkpJgMs9VjFAyqM8HYVSwLV97fOAm4D3Lbo1aHVsjoWqla34vBNlsOkZKz5rx3HplqlqrLjzFLjVlgTy7yKQCbAKubWSy0Imw2iGRMbDAi4MLJ8FXwsC2lYNtC51im/ZFUFJtZP46F96inICMtiwnF0ux6kYeVXWbF5m/vYGzP81AcfYpKienzDadlNjDEVMBx398FyVFharijkqeWfykEhZ0WYnPinUKQfKakDDt+t6L5NTq2PLHrwIQ1SaZ5daUjVrtbY3h1jPPkoScLZN48vHRI/HQ0Ht1qXkay01iU4m9DjSx41m84FN88u5beGLSS6het6H693EwrZA8irJNPScsVqXrWE1xPatN/052HMXuEvzxw9cIj4mnviBVGjaTCRoBbCeHO68auCitEaBt0qUdXgkMFONCnnrUulNXnDp+VN2i3fPa9Ttg1GOo27QlXn50OM6cPG7YUYgD1PLAvHK/5ueex7Rxo9g+2pE8N3ooHr1/AE4cPXLBo5cH/vRsvQGxyxa3bt2K+vXro0njG/Dl0iVoUL++spF56GgtgET8MtvRY8cx/KExGHTfMF06iXB0zJvEp+Zeiyy4f/t4wSLMf/s9TJ86GTc0DGRKqZyNgoJCBDFG+2pnmPMWYrfSfvb6AtpkRDQ83h9cEydivSRcfS3nY3tMFqz4eTW69eiNjZu34L0PPsTosY/CERQsdF4cZMuyW56jQsxtJr/+FoKCQzDyrt7IOJeF9DNn8PyY4fjhqyWoWKsBKtaqL3VmIhh3GQBsPkUkpMBstcPkCFYZaz+pOB1ZZQ8OKlXi6xQ224h9NprU3CKWl80N2MSak3ojNiL5Pv7XKkQkV0aDgY/Sn5cYA2j1ubm5hlhaQ5nbQiNhD41ETOW6ipmZ3YEb7noMZ/ZtldI6JBZbYKTYZtWDgeQRLnr5STTt0hvNu/W7+OuITURKOP2pMTLIMRi5vJQWeRVMDS6mhcbHotmDdzMZeIBJlYP5UOwTwbUAqunkZRMD2Ww53+NFvjAn2/I5683At7vYizHRKXCazHji4D4El5jwTEol+NxejN+0Axk5BZqMvIhMCiOo5GwzwF0kAu5iOODFrPu6o2pSLA6cSMexk+kUtCgTB9i616TsFH+t5naLAFyQl3vlSZaXGzHZwjohZ1sF3Oq+Wu5240YNMfH553DXwIFIP3WKMUrcFAqIiY2hJcGaNGumk2mXErXrmHGxbV67BrOfeRTt7uiLW3oNgN0ZBDfJF77CpsTm2tNfHG2Pv6Ezco9ulXNC2QsSLz/U8RJlbpfZwuJj0Wrk3bKxo24f8jrJ7MDRkiIUeT2a8SRR+1CATcC1Fx6XByXCVCsiDO1TymDS6o30GuV52hRs83xtdv2ZvSVYMeVhmrPa9oGncC7znHqdKjnbTEbudeOB+wZj8eIllI3Q50jrgSyZV6lZmwJS8n4RFF94kmXhRhMvY6RJ1xl7zSTp/BhInWG6LwPm0rGahO8KAPYzTp3AzCdHo0zZshj51CT6eeQ7yL0QFR2DBo2blZrrrbL/JiD99EnKtNzWsQO7H9m96/Ng5Zo/MXT8RAzu2QVDenamwPrg0TQa0CRGhLASbQRglzBwLTLaHqw/kY4G8THKM4887znYZqPGCvDW4kqxLI4ReUTuia6TybPy2jfCShN/EO27NZDN71ttAEP5bdb9/B0ObNmgAGyVxSaGUhrADiJzO5nMcNjNCIuJR6XbhuL48vkqwJZk5DYbEjuMgdnmxNmfXqHXv5avreVsa+y2hRoMcjabu49zZlu5iRWgbQmJpbGdyeoQALgWs5jtwYhv3BX56UcVlQoD2/SeZznVCghmMRAHxCzOIkCTA25rcDgGPDEFN3Xvhz9+/A6b1/4WWDousNtqzMeBt5DvLAJkzmLzmCwsKhqRUTGo37iZktOtS/9SQbqQjy0Bbp2se80vq/HMow+h250D0K3fIBVAc/KHeBJRKT2T1HMJPVdR0m0qScRAuUr6KOfp0J5dmDJiAHJIWTGrHcER0QKxI5YFU5j8puWuXg350hpJiQkPsvuz2FexdekzkKZDGqaF8eOwWDDu5blwBofguWEDaOnGQP2EH8hmG3dsXIsadRv6vSe5XEXY7Q6Ehl0dhYBRzEuY3dBQPmAulkG8VvBTabEx0YiNjsaNTZuUslcAKaBJF1SZTFj5yxoMH/0o7h7QD/cPvnCJRcpoX6Z0/GJbbOiFc8Avtpl8+gSnK2hkFLok/TAbTuHu4aJDiVjCi7mIU6dgE35etRqzZs9Bo0aNqEtweGSk6raomHL5l+vipQ30dQRJR0Kkn8N7dUZSuQro9+BYRMTEoUL1On4sMjcS40Bd7dx1ZmPciIyq2lRwK9exVs+DIKWWTnYAR1nDcym4guvzB6gJGXchZ8e/f+US5KYfR/2+o/3Kd/k5oBs0fkR6w54NH0xF1bY9EFuxuip7FE1YaABnkXMKM47uxVtjBqB8zfoYOu1tWp+ZB6xirqMsoVQkmTz4O330ML757H08NOEFul7OIeS1MjUGQHMR1daL0uAQuxWxYRd2n71arSA7B89VboWCrBzDc23U8at1ePnfwbZruY/yMg9seQ4pqSUqBtLkNQm+073FeDLzMMrbnZiSUgVBThsOuAvx5snjGFM9FdVjI2ENssLqJJMNFocNFqcNVocdFjLRdcqy2W6DxW6D2W7HmbwijHt/GaqkJOLRPp0RHBKkBFl0cI1JDikTQmp5c6WLkuunL/NnEl+rzInWbyilN/T9SIC+RUXFymcGqmiw/8ABjHp4DN5+5x0kJiUpjrWiy6tQr1Tra0ovscL7Ch507du1A6P7d0W1eg3x5OsfUrne6bQ0WINDYA8Oo/cuZ21ogMQH7MSASVDMKMtKEEVMhZQAlfRLjP2lc+X14WWvI7ZhJwTFV1T6KDZ1qFsG0/o1+FvvhUmprVGcnaOCPxu7NslkNynz9e4cOm8XFEXBhM2mTBbimG9XJqvTAquDXKdk2QqL04r39h6G3W7D0Ka1YHHaYXWSa9ahzIMcdNnicMDkcGLnyQw0f2gq6letgJVvTIEzPAImexDgCAZsTvhsDvisDqzdtB0ffPY5Zs2ejRKfWc5/VPMseeDuw+6d2yh4r920hV85SF4KUnMZVnpho1Qb/35CW/bbzmXSQmqA9mjRFBa83xCfP/x95JY7dmAP3n91KoY9NgEVU6uqknKpv1bzsjXpuCqlF/pvYqT0wPBheHDoENSvXV1RqzDzue07duDmXoPRtF4tLJvzIqy+EvhchRgzbT76t22CBuUTqGEdkfuTuWTYSFJYCosxfvmfGFyjIpLtDqbIKUEJmYq0yU3MIkl6jduLl7KOYXhwEh3EpCCGlOwUFER1+tyGez59HX9XI9fC2fMFGrhhlVD08mIODDPPZWH2pCcx4oXXFPBFlEzMPIz7dWjKphIUEO8OIrkuJnnwLmTu3YjglDrw+cwoIYoQN+k3FHVAUcYJHF8yHvaoFMTf+oRSNlXMtVZz5VlNc5ZDRqMRVamv9LUKCFf6dwLYLVY7JSXMjEVXJg70zSg8sQPhFWrB5nQq8narklNOBg5I6U0ykEDmRBZPXKpJf+BgeelU/aGLO9wFefhy/isICgpG/9FPqgNNZoPrV+9LwGMGfT15MeWGD2pqy8a/r1E0LVab4dv37tqB+3t1Ru0GN2D6O5/RwQ9VzSN542hO4+TM83jTE2gfnw/b1q7BH8u/REJKBbS6YwBN4bEHh/qXhdXFqlVjQ9C5euCKMFe7kXvg2Lk8qW+UiFddpR6x/5TLncnPbB4fk9fPP3Q/HpwwGVEx8ez3kUvn8nofJw4fwKP9bkf5KtUw6e0FsDtkv4ZAIJvMt677AwlJyShbviKLzbRrSp+aw68vI2WQXxqOWiVCvi7V/t7nQ+/evbBk8SJWMUUA2rSkpHBSL0aHf1mNAwvxOwyG0n16hl1r23fuQtsud6DJDQ3xxYKPYbMTQozfhPpKVQpeXLxkCVyuYvTt31+9TjQ3fvEaESs1ydhJf02JhGKow4qkyKsH5K+qjpaOfIbF4ExmNkY9+Tw2bNupSshVRpuz2aRTN1uwYfNW9OhzJ377cy3eefc9PPHUBIRFRtEaiQFdHQXzCWWuSYr4RD4/pWIq9u/ajhVLFiC5cg3dyKZ/fosozTF2DWcBLmOrVZm4ykBzgzOeex2Iwb54ZluRhauknDoyLHaYh3//HiWuItTr85BQ3ssILBjnWav3qNrBaRdizdsHY+8PC+nvK5UeMxg3I8tZp0/gwyeHIrpMCgZNnA2L9cIyJFV6K8huPJ4SNGreyvChdrFsNnE+PbBvL/17IoKv3ujUxTTiYnvL4w8gz+fBal8mTvtc6m+gBlhs4qYs1CRNYLplGbkPhV4jtpvNGZtNlrlpmjL3IsZnw7jwFOwtKsCUtMMoLHSjksWJp8tXxpx9B7HmRLqSt82l5Hwi7DZhtAtZ7itjtbnhVFywHe+N6osG5cvgjmdm4ZPlv8LrKlQMp/xYbcYeCstcWs4l55KBmmCiphipKfnaqjs5k4PrjdM0hltmt9UbiEnJybxKairmvD4LQ+6/H5lnz0oPMTHf1M+sSC/nEpe46sIEnE47hieH9EeZlPIY/+rb1PmXbDyTdgynjxwSrpYABijSHoGDPa0EjQikTEho1hWZ235SjsnngSvzOJUij+pQFX//vTAcBT4PfvRk4JSXOKMqjT8YST91gy0Mf7jO075VkZUqRkpKbrYiIabMNme4iz3wFntwT7UKOJJ1Hsv3HNXk49yF3KW5kBNmu1ZyPD584j5s2nMIgya8ghLqpM+uNSF1oWmj+vQa+GvtWs0UTQjaCaBUBw3MJtSoVQc169bHq0+ORn5OFgMCjGXmBlbqxNhlChhKmRg7rexvNAViyZVt/HPIcehZ9Oyzp7HordfwyuMjUblaDbw4/0NUqlLV7/PUQVHVdE2bK0w2Y7RJUAgf1v35J5x2O+rXqSkoTTw4evQ4ut49ApXKJuHz1ybR80fY7Kzs8ziUdhoNK5dl557XRudsNp+IQ3UJ0s7noVxoCGVDRem43phTNdITnlA8OCbXWoaPsLhW3Dbp72GzeSN9CvEJyTh7Fk8/9gi2b96kHps2KMLy6Ekt8MhIPDJlFs4cPyykGDB2m8nICQAV5eRkbieDVA47La119OtZtK62aIxGgK8zLgVJt42H6+wBZPw6T61cQAZFFUZbYbIVNlthtOlAqTiYyU8qC3b5yed52yqrLf5W5DmWeRIZW1cpHjB6c1cxpuLO2kLcRkxl5fxrH6xBobhz7PO4ddAD2Lbud3y/4AMUuUvUmE3J4ZbZbO01VyDy7xIcvYXBNU7IiL4/4qTI0zUVYyDTsiNHjuChu/sgKaUCJs5+F16zRatmwycppVFksv29g7Kzs7Fy2SLMHDccZ9JPIS8vF13ufQi3DhoBR2gELM4QzVxNRxyRVIyTh/ZTmX/z8lfiG3LpjVzjRGWYeeYsnntiLLZvUe6Fq9XIlUk8NFZ+vdRPei0pSQCKFZ6Z+wH2btuM6Y+PpD4YRsy2yNLyeKC4qBDJ5SrIEnNRAXclf4C8IH0c+d0jSV120iQmTmTVLsCw/Y3N5xfhmHDk2Al0u/MuVKxQHp+99zZsNEa6ONM0u/PqxvQELxxkeCE29OoaY171hFVzSASW//I70s9k4O0PP5Ok5Jpk3IKTZ85i2IOj8M577+P1OXPxpAqwNWZINYtSwbYwZ+vl3Bwv8ouKcfjQIRzYuwdjps7GY9PfwLqVyzFz/CgUutxypyjlBglmEgHKcXGALUmbOHAWc7EZyOYdmij3FnNj5NJZWm1uVSpuuJ8wQuPxYtd3H6J8s1tRreMAZbSHjdLJNbh1cm/9JIUjQq6Mz4fg6EQ0ve/pi7pPs9PT8P64QbDaHbhnylvUIb60pjIwOjMq0kLCwlGjXsMruhbnvvoKnn3iUXyzeOHfkputbzcO7Yefbdk4jEKswFl8hzPa5DuDH3xnscqXid99WdjozcEuby4OeQtwxluMQo9HzeFWJeYeBXQrYJsDbn8Jub/U3ItyFidGRiRjXUEOXjqpgO2QEhOeK5eK5SfTsfTgcWqipgBstyIhJ/JxLidnOdv0NQfbLgVEd6pfBV+OvxfZObm4bfxMfPDdamqWxmXkqmycOj4XaSCcAm5Naq7uJ+V1CyZqfkZooqRcMFMTAbcIygUpOZeyVq5UES9Pewn3DB6M7HPn/BhCrirgNYhlGbnMeKgsCEw4feIYRvfvDrvDgYlvfEodZfl1np+bjRMH90gSUlzUg1nnWMxLd6nMkhYVkJckVzvllnspM5X++0KcWDEXFc9vQkrM31/v86aRg5EeaUc+PNjsPS8P1rE+ywIz6lhD8Kcrl/WTLL9TBdoMdAu52hRsu314omFNfLbjAA6dyVIBNgfbBHhTwM2ure5N62BE93ZY9utfGPzMKygpKtJytZk5Gpmee3IcJk2eTN9H87UZe+vnQM6UPZGREeg16H5MGTMU+TmZKlimubVE2s2At7zOFHAin6mC8oDScoXZ4yZZKsDmn8Mk5aT7Sz92BN9++g62r1uDI7t3oEbdBhg/7XU191cE70SZpDmTa4DarxSYyhL6UOwqwgsvTMKkZ56WBr6OHD2KW/rcDafDjmVvTUeo064OaMxeuAzDu7ZlYLpElYxT+bia36tIxzelnUX9+GjmPq7Jxf2T//3TmsSA+TdPNn7yZKKoRQ3EVS7/t98LpNTX6p9/xNkz6fj0g/d0fQg7r2qutvK7vj35SXhcRVo6ATNE49cSl5RTkM2YXzIl1muF8HLV4Dp3QgLZdG4xI7RsLZS59REUHP0LGb/MpQehgm2mTlLcxrl0XAHZfDDPsHGwLZRkU2MN9rtF1miNrN2/acSBCLZ5HCTJx1m8JsZmYszGJltIGCrWawwvTJjx6DBaFUYDxiJQNpaY09hQBckayJc+Q0gL1Bvn8liU501LoLnEiyNHj+CBvl1hszsw+a1PKQjmEnBjibg/wCbTwb278dV78/DtJ+8i/WQajTX7P/YCQqLjUbfVrYhMTFYHBzQySvMP4q9XfDgXS2Y+j5N/fPe35GbrG3F1XrPqR2ScScfCD9+T8OKVsLD8fmrUog3adOpmuIMeSNdu2ARPTJ+PP39eTgcgRbBtqII2KQZzv//0fcDUY71f0OU2k8HrwsLAhmAKe6xjm0udrn0z6V4fOXYcHbr2gMPpwJcLP0ZY+MV7xhAFGzGLLk1dEvg4hOomQpv/2nRMHP8oln+xkPahV7NddfRBOuI7+w9Eh1va4qknHvMzQSOdySuvzsKIkQ9h6NBhVC4eF5+oK3XEwbZB/ouQXyKy2aQT2rp5Ix67904q12zQuj1iklLQqE1HjJoyB+t+/BZzn34Yha5irZPUjXKqJhwiwy2YnKkAWzQ7U10mvcjLPofsM6dQXOLG+Yx0uAoLZWaaPUDo38CW/fOu9e7i/hMH2evfnwpHWBQdZVaZbD+QLbiCB5qEkS+N4dZY7T/fev6C9yIB2R+NuxtmsxX3Tf+IGm9c+FrRgxRV8Ig1K76maoQraTVr16XOjw3q1sI/0cIiI/D+q3NwAyLQHYnoiHh16oA4tEQM6iMCqQhBDOx0xO8c3NiJPPyETCzzncFX3nT86M3AX94cHPYWIs/jYXncPh2gFkA3yddW2W62vcSL2uYQjAhLxp8FOXj51BEUFbphcnnxWFJ5HMzJw1t7DqI4nwFsxmgTuaaap02ZbeJEzuZCGSWbrwTD2zfBkicGU2Byx4RZmPrxV0g7fUbO2+Zgm5VYknO7tdxtDnyMwLZaDkytvS2w2ZJBmo7NlrZrbuS1a9bA5BdewD33DEZRQYEMtnWsNgXbegZaJyk7deIYHuzbDRaLFTM//hKx8bIcj8jYyCi42DS2PMCDWfx+qUyQ5l1AP0F3vNm7f0fm5hUITkyl5+z+bjfhn2ikdNJDLzyDiqYg3GRR8gB5/6Iw2sr8JnsEVruyaX/OjdDUOZukvG0KtD0wl/jwbJM6mLBqA/LzCyVzNLHGNmG1yTX30r3d0bBqBSxd+QcGPz2VmjMRkK3VffcgLioSfXv1xLx5cylbaw1QU1sxqlJAba169fHKuwsQ5HTg7ZeeQeapEzLwZaCWSuZVIBxoYiA+0KQH3CLwNwGHd27D0nfn4K2pz6DEVYhlH7+F5JTyqNuwMVq174gbW90Mh90m54MLn8tTekSwrZnDaXnZ3H381ZkzcN89dyMyPFQdDCMgu32vQbBaLPjp43koExOpmJ2VuJGVlYN1O/ahfcMaGpvNGW0CphnY5tOqwyfQJiVBqdnMARwlTUVG2zhNSrynEk12eM1m3PHIA3/vTcCPxWTCgH590abdLRjz+JMSyBYH0TRHeTM69BqAlUs/1X4r8VqiDLee3dbAdrlWPWC1WXFuxyrBgVybwqs2R5lbxyL/8Fpk/DpX+W4VbGtsNs3N5mk+UqQq91hqeoToSM5lnbQr9tEc7oo9xitVBBjA5nOpCovOTVuNySQyRGaWPTCjZff+GPrC60g/dRKvPDIEB3bvkMCy3sGbg2l/laMGzDm7zQe9jd2/tTxpaljGAXKJF0ePHsHD/btTpcDUD5YiNDpOYqt5TrYRc3024yxWfrUIsyeMQVZWFrb8+SuSqtRAi653IqFSVTTp2AOOsAiJiddSETSQreais/g1oVJ1eNwudG5+ZaTG5TZyjQ/s3w833XwLRj02Xrt+rgIMJJcoqbX889dLkH7yhNEefunCLdp3wvjp8/HbD9/gZQK2ybOglKojyxd/RnPB9U/tKyWzDf8e4ZhJKy52X5gBFl3HjcsGXeWjLOVQwI9EYbLbd+0Bi9VKvbPKJCZc0llzOJwoIgPkV9D030RUacXFxWhUt/YVfe41z9HmjXykO/ec0tkKOZHrNmzAs89NxD333IMePXsxoy45/5qztlQuLeRFcuMGfT4kmUjZrYyMs9i9bTOqN2yCkIhoZTuX5Xp8WPvTt3jjqVGo1+oW3DVhJkw2uyD7FsCzQY62yEarLt8eL87s34ZDv32L2t3ux74fF6Lo/DmEl01FpVa3Y9uiOSjOy0G5Ju1pTuv5k0dQvml7hMQkyje48HOL+SiBbgB3YT5Obf8TibWaIH3vZiQ1aK3miGvg2D8/O+CvLDopqvnBYi60Cb/OfATtHn3V38WWsS7nTx7ComeH05tm8MsfIiYxSWVY9DVj9WyQVOZGyKn6bN4MNGnZBnUa3iDlc6vsykXmaEcG2REV8vfKxsVG2JmJtTvg9J6DrJuhOl715PM1ShNfsYEPkuMKDwXgGShGBlxww4c4OFAJwYiFTXAR1mSdNFeb58GaTLCbtWlrSS7m551EY2c4Hosvj5Agko9tweKsdGR6SvBI7aqwk3VCzraWu63kalsdJE/bCjOpiWnjckMLlWPSMn8mM1bvPISPVv1F76UeNzXErY3rICwkWM7VZvnYiixRyO22iPuw9SS6Z3mAYs61msMjrJfysslAlD5Pm+6rfC73jFi1+hd88OFHePvdd+k+atqGLkdbmot5uF5g/749GDGwF6xWG1779CtExyeqAZyY/uJyl8BDZGcqw8ACO105QB5U8sE8NfCk27X+yiPkZouBKxkM2fPBk6gy4AXc26YqRrSrgn/yXphRvyOy9h1S/QTonBt2sev1T3cOHCYz2gZF0utVdU2W8rXNaq62hcwdyvyPs5n4/XQGnruliX++NsnVZpPJEYR9Z3Pw4KxPsH73Qdzephk+fPkZOMMiyagAy9V2wmuxo9eAezD1pakoV6kySnwmxVlYqiQh18Xlg6i7tm3Bwnfmotug+xEcEoGo+AQEh4bq8hFLf/xeKIebgzF3cTEyTqXhvZlTUFRYgCGPPk1LH5HrsEqtutSQR99P8ueQWArMyOhM7HPV/oX36WzQYc/OnZgy5UV88t5bMJMBLY8be3bvxu39B8NmteLnT99AcmwkU624gOIiTJz/MZpULY9b6lWhedkkX5uUEhQH86iKhg3w3b1kJd5o21gzxWM52fQ1z9F2ERNIpRwUASvTso9hREhZNRWHAhevD83HjUCHiWPxTzXyrD5zvoCCNe2akYkFEQgWFrtxLjMTQRExGgCjNaeVfG0y5znb6rKbyO1ZzrarBLs+mojE5j0QXKaampJBS2/RElw+5Oz9HadWTEdI+caIaTOSAmoCNOjgB83ZJm7wyqClKgtX/hqmqGFAnErOmaGa1UrTx5S5wqJzgF905gDyjmxGSrsBqmEb9WUQmHl10EBl8LmCQ1ZyGBn88VQPQn58++7r6Hb/Q3TQIr5MkpT3yvO2tUFMUV3gn6+t/obsP36PqveyQZ7x0QP7MGFIP3o/Tn5/CaITykhqQymvlMa3XuxY/zu2/LYSyZWrIalSFZw+dhhVGzVHRGy8Ls+UpRIaxIBaTG0UEyrzFhWj0TY17m+/B9Tz6PPh6Ll8es9Kudmij4V6ToVcXCEfW5+jzftWsm7drytxcM9O9Ll/pOovIJNM7A1C+23FN5gydjhubHsrxr08B3ZHkKzCJIa9xGgNPjgdTm2QTO2TtZKKqgdAgFKIAXO0VWWL/3vI9xw6eBDz58/DKy9P08p4sftSey3OAzR10OxyhgbEz75Qjjbolj1796Frn/40le7Hr5YgOTlJMCMRwLZhjrbiYL5q9Wrs2LETD44cJV8DPB3N6LWQqibfM9o9ERVsv+qy8WsGtEnzuIvhLsqnJ8dV7MYLU6bi1KnTmDJ1KiKjolUGQ29uFtjkjNU3VFlh8lDyYv/e3Zj9wtPoee+DqHtjKxVgy7WplUB18y8/4t1nHkLZarVx9wvzYA+JoNtEx0uNqfaqx6blSpOcQQ/OHd+PkpISnNj4C8o374zQxHLCQ4edWKFz9pa4cXb3RhzfuAqN7noMh379CnFV6iEqpQoFlqQReSd5R+bh3Th3dC/9vArNO2Pjxy9TcF22YRs4wiNxcNVSJNa5ERWad6LlzkTm+WoDbQ5w937/MercPkgF3iLQPr17M5a9+BDCYxPQ74U3KbBQcwIvBWhLc+DkkYOIjolFdHT0ZQNt8r6UqBD1HP9TbdOS7/BmL8Ke8K5GOR4ZZItNqYBs8lvmW71IhxtHUEDBdyIcqIEQRJpsGgvCOmgFaEMC2mTa5c3HG7knUckehAkJFREdZIfNYcUPuZnYVpCHp+tUhzOEABRmkqYapGlgmwBtCwfaVgsdqSdzWhaGzhXQfK6gEMvW7cTyTbtp0N2pSR10bFIXcVHhAujmQFtnpkZd77ixmmCuxkG1aqxmALBJp8y3SwBbAdka2CbvU+ZvvPUuMjIz8cT4J7VBPz3AZuBbqmfvBdav/R2jBvdDfGISXv3gc0TFl9EYBT6Yx0A2kTWOmPaGCpZVJkItF6jJJGVVjewVwfsrRWat9FF6hijvxD7EJVfAsrG3XPM68hdq25d+jwX9RgYE2tTYCF58VJCOMRFlYSfrWGCuAG4FZFOw7VCM0ZS5ArTJ8nPrd6Bf3VQ0LF9GANsa6CaT2RlEwfa4975EQlwspnywFA1rVsXSudMQnZCgGKNZFWO0A8dO4tGnnsHChQtpWSEOrHkFDL+6vGJtWvYM+fmbL/DL8q8RER2DIY89g4VvzUZMfCJq3dAUNpsdB3Ztp33YDTe1xaE9O+mgRGK5CohLLGN4HklJmaDgUCx+dw62rf8D9Zu2QI9B91M5XRgxeBNUGeLzyAg4aCBDNFvUBXxijjYzWlQl44UF6NOnN959Yy7KxMVQ5cRvv/+OnoOGIDkxAd++Pxtl46JYeoiiZsnKzMRdE6bjy0mjSMFZReXiKqIpKbzKAU1ZYfPzuQV4bPmfmHFTQwauufkZAd3KnK4TgDaZXso+hgcZ0OZg2xIViVE7V8IZcW3rBV+oEfOyjLwiIWZRridyzfD7Xik5qizPm/w0Box9ll5nKtBmDtQUXBdz4M0nYghHjOFYXerzOTi39y9E1WylgGwVaJO4RgHc5w+so2DbEVsJcbc8CpMtiAFtJukn5mg+BrbFQJ5eT0xWzoE2ye+2ErDNgbZgiGYxw2zy4vDSF1D9rhfoIBoF2hRsW1Q2njP1PDddD6xpDCF6EFCDNG07j2O46dnnMych68xJdLt3FCrXrKtc34L5q6Qu8IuLDIA2WxCghgryeGC/Y8NaTB41GDHxZfD0vI8pyObpfyJIOHFoPzasXoEju7dj+OTZWLnkI1RteCPKVKxCv1xvfKb309HAg3/8pwFteX9iNPfwTZWoCd0/2XKL3DiZUygBbf8BC38zM/HvDQS0s7PO4edlS9HtrvvU79ObX2m0htb+XLkCUx8ZjtRadfHcnA8QHhUlpXu988pkNG/bHnUaNfUzmFT7UeHa0huliX3u5QDt7KwsPPbYo3jn7beuDGjzP0h7cRG/mChLF1+L59FfWvTbn2vRa8BgJCeVwdeff0rndPOFgLZkhGtC2qnTmDx5Ml6fPUe6h7RrQ74uxAEa/f58Tr61fEwo7S/+NUCbNFdhPjZu2oSnn34GQ4cNw21du0rGXPpAVl6nsMeaM6dgHMUCzZzcXKz89ks0atWOSpXFfWSgra07tH0T3hk/FEHhkRj4wlsIS0hWzTeoWzALfHmOtAi2zxzYga1L5iG5UVtUaNVN6sikkyrKwER5J7vB03euQ/rO9YhIroSQmATsI2ZjJhMaDhiLrOMH6IOMMN8RZVPhysuBLTjU0FRM/N5rBbSJD3P+6aOITkn1A9qH1/6AH197Csk1G6Dn07NoXrWYK3gpQFuryaqs371pPXWer1KtxmUD7ZhQB80Buh7atBY9ceiPjQKXbcxhGz3I9dvF9eT3PQ0X9iIPLnhRA6EojyC1k1aNlRir7WBA22kxIc3nwqzcEwizWPBcfCWUC3ZSUP1H4XmszM7Ec/VqItQAbKtO5MR93GaFxS4DbWqiQ4A2mQiIFtjpc/kurNi8Bys27UZuoQvtG9VEn5ubIjYygrLYCrjWwHZpgFsPvmWXcg2Ii1UOtKoHAcC2yYzRjz6Gm25qhW533CEZ2EnstdRH+fDNl0vx+KhhqH9DU7zy1kdwhhJHcdlUR2OrvHjxwUEYPfM9tdqBVBZQchmXU1tEYK5X4fBSOXqgTaZOcTl4dmhPXA/tjTa9cXLtpoBAmyzPy0/DiLAyCLdYmVRaCc6tdjPMjNVWwLW4rDDb531ejPttM97t0QaOIKfink+uV8JsB9lVoG12OpHt9mLwy+/j6fv7otcT0xATFYGv33kNFStVUoC2zQlY7JjzzgcwWe24f9hwBWj7dGUm/QaE+aCMpsLiwV1JsRsH9+5Cxtl0JCaXo/fLnm2baCfd/JZO2LV5Aw7t3UUl0rf1G4ypj46g/Vu7rr1o2cpln76H4NAwPPjUJAqs4xPL0IBOBAhiICfWeJf3MQLdItMiBoHanBrBsT6dSMRHjBiBPj27o32bVpTJXvzFF7jnwTFofkNDLJ4/HZFEUeRxMyZbAdUT53+EJlUrKGw2SyUhc+r/QDwiXJovBAHaaw+lYf2x07i/RiWVufZjtF0EbHtQ4g4MtMnU5qWn0GTkYFwPLf18AXUMJ6lz2iCN4mhP8nzFvNyZT41Bn1FPICgiWpUoc5lxkeBATkE1yfdlTDeZEzBOwHSJy42Dy2aj3K0PwOszKUCbAW7KcpP0o7TdOPntFFgcodSN3BISw5htVt9cZbRFVpv7qxAHcm2QlZYIY2XDuGydAGozA9tZ239A/A2dYLVZqPu41aqAbLJMQDZlsgnoFuIKYujoz2DLTLcWd2jLPHY4f+4MXHm5OLJrKwpzz6NFp+6IjIk1qFZifN8YNVUuL4JC+PD78mWY9eTDqFb/Bjwy420EkeeC241zZ8/AGRyMz+e8jIyTJ9Cuz90IjYxGUVEhLT9rIYoaQeEoOoYbESsaiAjAXIvsufD+TtUT0LzC32uCFqgRVpvcC+IgBQyAtgiojdh7PdAm644dOoiUipXVz6NzMaXSkIkFdm/ZiOceGET9o0hOPTE2JddD5unTmDXxcbww70PdIKaxl4XMbsuDnpcLtCG6jl8p0ObtohzcDEC20fnTfefiL5fh3gdG4cYmjbHoo3cRER6ufdoFgbZcYYb8rj179cLiJUvlgRcda20MuvXXjzKPCbEj8hqZJl9ToJ2eno5x48bh+YkTERsXX2q5HC4Vl8rlCJJxETzn5uVh2pNjcOMtnXFjh9v8SnH9vmIZNq/5Gf0enQhrUIhqWMb3O3P8CN5/4n4U5uag62PTUK5BCz/zDbGEFymjc+74QbhLihEUlQhbaISyTei8pJOqA9l8gERL3A88QmqUX3ZRzaDjuRygLZa4IA/C8ycO4Ojv36HxwNEq0CZ5rhsWzsXmL99D9Vad0WX0ZDgIWySMJJOHnbsgH+8/OQwJFSpjwOOTLwlo//zl5wgODkHbLl2FfYTyHKUAbTIFWS3Unv9iSqn9He303oOYXL8T3EXFflD50pf1V42yngBtkt99CkVogAiUhROHTQU4igJ0MMcihJT54ECbgG6LCTk+N17NO4ECnxdjY8uhaWQkbHYLthbnY0nGaUysWxNR4UEKcyhJye0UYCvyccJYcHBtNgTalIFmcy4ZJ8EiAd0Lf92EkCAHHr2zE6pXKCuz2hxwcxCuysg5COdMOAPMIrttAKI1Kbn2Hr2MnIDa3n3746Vp01CpcqqU3iKz2go7/cqLk/Dm6zPR5Y7emDhjDj0f6oAgA8XZOdl45oFBSK6QivsnvISfvvgMzTr1hNdk0vLpBLaaS8eNjBpFGbmowuGsNgfXipeDD7WSwjFvYEN6f14P7ezeQ5jf9DbAVRwQaP/qykKs1YZmjnAVaNMAmgTrdosMtlV2m89tWHrkBHwWM+5qVENNefh271H8vP84Xh7YkRqXEaBtcQZh7vI/EBYejpY31EfXRyYh63w+Pnr1BXRo24YCbZ/VDo/Jhj5334/nnn8OVarVpLJ/zmiTwRLtOaWV81JLQYoBoBjgBeiTpf0C+AHxZ4nUB+pSkgICbb9nlC7wk9KHtECQD3AqbLYyzZ0zG0UF+Rg35iF4XIV49oUpeOX1eeh7x2145+WJsJt9zGROqzZw7PgJ3DBoLHq0bITZI+6kANtLgbaL5dUTs0XiEcFZ7WK8s24HKoYGo1lslASsVaDt4nMNaLvdXryccxz3B5ehpfsIyI5t0gD9f/hM6Teug0bu45NZ+co15Cud0f524Ueo2eQmanTFGW0ykb+VM9gK0GamWirgVsC2Aqa9OL3hJ2Rs+wUmmxMpHUcAJEWCgm2WfkJMNzPTkPb1JHhdeYhtMxLOMrUVsM0YbSohF1zFaeNAVHQqZ/JxCrR1ueFkcuecpsA5JDFFBeF8Uk36JDZbY6wldZ2QyqYH4RrQ1sA3ua4JS7/991XY/dfvGPDIBPz107eo3/JmhEUozKV4bxiaYQlNYrLJ71hSgoVzpmHZe3PRoNUtaNKuC+q0aIMfPnsPx/fvRpUGTdDuznuQdng/Pn35GZSpkIoBj7/oV5pI9NrRqsboCJVS4z4daBVep0Q6MaRZBXperodGBoMOZ+RTUCSy2RDlvgZSYG2gQTtvItAm8/FDBmLS/A9hJve9MBBC3v/Ld19h7eof8eCEqTS1R99OHj2Mp4f0Re75HIyfPg9NbmqL81mZKMjLVdzGdWUWRUAspiVcDaCtfZdyPfbs2QNLlyyhhJj24xMrQDEH+1KBNl24SKCtB93+Jb1KSkrw7OSX8MqsOejb6w689fpMWvJX21M5ETnnz6Nn/7tRrUoq5rw6vRSgrTDcvXr3xieffkYl6Px39l1kiS9JGUFyvi3ma4oXrunTJiEhAW+99TZiYuM0GZ0IoHmAIuRji3I70RBDzGNc/MHbuLX3QDRrf5tsSMbma75ehPzz53Fk3y7NLVw1MvMhIrEc7nl1AcpUrYuFzw7Hb5/OpWUOuMRcBO5khPG3+c8g49BORJarroFsxnAZmZVpxmYiqyGW12JBsHo+tFrhyvpSHMIDOodfBjg3aqKjMRll/HM5KjRrrwZxhdmZ+PaFEdiy7EO0vPsRdH5kKq17JxlEsYdSSbEL7mIXzmecueTDiE1IRObZdK1T1AWdRv2GCkd9QFxY0HUDsklLrFYZt098hL0SRw35si/AstE+vImvTXDAgoaIwC2IwyEU4FdkYofvPAp9XqR5XUqpMOJuylzLialaOGx4MrwCKtmcmHj2MD46cxKuQjfq2YIxKCEZ47fuRHp2AdxFWtkvlXES2CeFieKv3WybEjBrLuVKeTAeVNt8HtzeqBo+GTsQj/dsh8kfLcOEtxYhL/e8ZoxG59wYjZdfckvrlGVlvWaYRszReIkvj595muJArmyX9vN5YbNaMOvVGRj7yCPwuN1+eVb8IUlK9NzduzvemTsLjz87CdPmvAW7g9wLOpUIzaF1we1yISsjnW5rcFM7nNi/SzI90mRmWtqGNqgk17hXQI+2j6rwUA6QPZNMcNjNeLpLzesGZJMWV60S2j4zutR9KluDcLCkSGJitDhCcy8moIAybBQk+Njci66VyuK7/cepYYziXO7Bwg27kZ1fiB1HT1NHWXLdkGtsaMcW+Pyn3xHhsOH396ajSZ3quO3eh/HCzDkUBBKW1gIPZs+YhsceHQdXQZ5QP5oH9YJJGBssIHPRRVwxP2NlmQJMdD9uTCbmoYplwnSO4tyhXNtX+RzN1ExwS9eZnInpOqrHg5p/zUqZcfkt20eRQALfffMNduzYgUdHP4T006fRpWdfzJz7JqZOGIcPX5uiOLcy80J6rpnR3OuffY34iDCkn8um21V3aqrG0CYIzuIHMs+jSmSYX8zI3fbVes6C8z8tcWe2I8Prpvec1elAp3lTrxuQTRoBkLz0pPpnBQiKm9x8K6LiiceLQVPPg5EjvNBXmE1IaNQORVmn4SnKQ+HZI4oagtS/pmXclD7EEZ2Ecr1fgjO+Cs6seAnnt32p7EOAs1TyS2OvRUdyHhBzllvf+D1dnJuBc7t/k/CAZIgmpswIZmYlfpOuikyAqjFqaVZybZmsqHtTe/Qb+zx1Jyd1ed9+YTw2/PIT9m7bRFMy8vLyVPMwsdSXWOZLGfTw4OzZMzTl56v352Nk52b4+v35aNd7EKITy4IkBhJj4NuHPoIHXn4L7foNgddkQXBkDPVXyDp7RjVN42Zqol8HHWwVt6mGbTwlSSw3qy89KxrsKueX3MM96pBc9esnRnJYLYgL82cUuaxbZCC1bf6KUrGxIUZa5/rsqTTDfX74YiHyz+dQvKA3RyNT2QoVMWvRclSv2xBP3d8PTw7ph81/rlFBtvo9utj56viNa+dAlbcbnAN/Q0J23/H7T/qdVR5f+mTjbwywb8CTzm9k5VX6mbPo0rMfZs6ZjynPTcD7816HPYCBW1GRCy5XEU6nXxgvkL+mdu3a2LF9m/r6Ys62dhq0vcnStcYL15TRJo18fH6hi3Z0gUyF/FhuXc4Sz7PevnkjNvz+C3oNfVhiuMW8bDKlnzqBY/t2o1rTNqr0W2a9WcdZUoLfF7yBtQvnIaVuM7Qe/hwckXGq3I90VGlb/6AjtPE1m0gAmgwIBGIcjKTYAeVHhkk/V3jOr4TR5qNrLCDLTz+GyKTyNFA/uX0t1sx/jgZBHcdOQ/k6jdUyI34mJGxkubggD84gJxx2+yUx2iQUosYpgoxdY7O1fUVGm/8dcaEORP3NdbMvphEp6MsteuDw2i26LXoBuT+Tre0RiOnWfw5wAoXYgGxUQDDqE0it5mwrbDaRkZPJSYJ8M7Ci+By+KMhAPUcoxiaUQ2JoEE7AjdfTjuLpWtWREhWqGqRZg4hknMjHmSEaY7DNooSc5mkr+ddkbibL9DVbr27TpOArtu7Ha1+txrDb26B7y0YwWW3KdovVP39bZcmN5OTMUE2Siyuv1bxtymDrmG1SIYEuW/D54qXYvXcvnprwjJ/52c8//4wxI4fTvMVZb76PG25sIck/lf5GkYBy+Xh2dg41YYTFRo2N3p36NIa98Lo0UCiWF/TL0+bScU/prDbP0ybTA60qoW/jcrge74X3b+6D9L+2GDLa5Fqel38Sj0WkSDWnCaNNrzHGbKv52jr5OLkuFxw8isiQIPSoW4VKx9OLirH33HncWq8KrEHcGM0JkzMIm4+m443vfsPbz46Gz+7ElPcWY+Lc93FLy2Z4a8aLSEopR6XkP635E4u/+obmhnFWmzod87QmnTJLL0+TAke90o7PdbJHGVhemhRcVeSx/8XXInstDpDqJZD+NbN9WL/uT8yYPh2fffgefvn1Vwx78CFah/ST+a+idZMGSmUAMvDFBsu4CVp6+lkMmzwb74y7F0EmHx1sowNvZBCumA3MqY7xrLSgy417F/+Mebc0pXnYnmKNvVbnwrqSYo9yr7i9+Cn/HC0bV88aisaTxqHhKC1P83ppJI44kVWAfCohZylsOjM0Ms2ZOB6dBw1HZEKSP6NNGWxmgFaimcHRdWyulCBVWO38jNM4tGwOKvd+krJDVAkj5mtzc0WPB5nrFyFrw+dwJtdBdIshsARFKHnbqnRcY8+oowgtBcbMMTmrbVHM0MgzwGJlNb0tZvhKCnFixRxUvfNJZTvP3xYHj6SBJI3NlgaODOTklguw22aDwVM+qJp2YA9lu48f2INhk17FGxNGU+asTvPWKF+1FpZ/+jZchQW4pc89OLx7G7b9sQrR8WVQv3UHvDnhYXr/DHtxDqo3utGPhdXLv/Nzc2Gx2ynrrycVDKXiAVIWjRjfQDFlpxrxaFUpFtdbI3/DEVVCLrOTeubeP/dWNBNmr9l7Du3bg5j4BIRGRPox2mdOpeHw3l1o0vqWgGCLrCbP00kP3481K77BDS3b4PGps6iHRiA22ygv+3IZbfV9uu8aNXIkxo8fj7JJSUIlFeWvM2a1DWTeFyUXD/iL8R9OngP4cdVqDBs5Bh6vBx+/NQ+tWtzof1IFRpu0nPO5CAoKUhjvUhhtcrzLf/gR+/cfwIgHHzSQihsz2uLzmN9bRC5O6rlfy3bNh3bJhRvktDOm2ti5V89yG4Hsv/5Yg4/nzkTHvoMFkM1G72igqcxJQBseWwbVm91MP5OX8pL25cAbJjTuPQy3PTUHmcf24/NHe2H/mm9psFqQm4Pf509AQu0bDUG2yFhzqaY68UCL7aMvP+LHfEvvk8t4+f+7Wj+MDmRLNXqVkWjibn7+1FFav/PPd6dgxZQHEVW2Iu58+TOk1L5B7QCMP1xpJCfJSsCFQQs0nkZeu91uTHv8IWGUX9yPhapi4MqWiakHcRq/HhuRLd39/nTYnGQQoLTfUjypGshW9g+cJaaMYmrnqSyC0AnxyEQxdiGPdj4EDLp9mjEQZ7mLvUBHewweDU/BUXcRhh/fg+UZZ5Hks+KxshXxws49OJCRg5JCkhdJZJ18rpVRUicaKHOGW6u77ceAU3ZbKbvkdStTh7qpWPrkvdh1+Dj6TZqHQ8fS4HOT/E4WtFP2WqizzUqAKWXAWB4hY86UkmAaU02XackvVt7LiNkWam/36dUDJ44fw7q1fyoAhJhQ5efj8UceRv+e3VClajV8u/I3NGvRUk1d0Iyk/B+2RJ7ssDvo+ojoaBTl51PTSFUOJrHWIsutyzUUPQv0zLfwuk5yBPrckILr9V7o9tY0WIOMHT4J2FY8aFkTYgaldJDmbEJ+Sj4XWe4elcth6e4jNI+ZSGPLhAajXZUUgT1VykkRNUTDSmUpKP9p7UaYvSV4ekg/fPvmy9ixdz/qt+uKTz5fQq+5dq1aICE2Bp998jHMPi8FnYS4pcwvDeo19lgdQFDnrCwYA616llkbeJS3qz4LAetpa+y6xE7z1+rAprJeHNDQBi2F90iMtiYTJ8Zn5O/dvGkDpk59CbNfnY6x457A7T3vpHK/dT98hVZNGyn3ELv/6PnlztUeD6Z//AXG9u2MyCAnZfB5XXtlYEhmtHn9Zd7RB+r5xGeQqCIhUwVbEI55ilCmaUM0ePAeXI+NMu/h5D7Q5ZrqYoeifDJoHVLqwLlI2GhBvNBvMMY6OCYB0TVuRPqfS9T1fBsBufQ1BbwWxDa9E2VuewrurOM4/eUTKDj8pyIPp14aCsOtlQHj6UEsopDKD+qINTKY7gxB2Q5D6LIKkFi9ba4GVFWLfFCRTVpcJ6ge/cqw8vQbNlDJJyFNR/XRYP4Z5PPKVK6GDoMewP0TX6M1ue97fiZ6PfQkUus3QUR8Errc9zBNTUypURetegzEfRNn0WOd+dAgpFSpiac+/A6V6zeTyn3pq0rwARFyDrwmq8Bis8EVeqy6KhN6xlqchHMl1SQXJ68PZSOcaFkxBtfrvZAUoTh8+8WGOvMqukoMEKVdZcl8fJlkrPxmqS6yUq5NwnY3u7m9cv0bMNo8Pk5PO4aHn52Cl95ZgMP7duOezjfhx68WKV+iYkWDXoorbuRV6vyyIa4PqFK1Kvbu3ev3fZf2Qep/l38gbE6i1fy8PIwa+zhu79UP1aqmYu3Py/1BdoAWEREuycr9DlT48Zs0aYK/NvwlDySzF3oBfKBTQsohRvwN9eP/Fg0VGVkMcig6eqPyOCKAlctcKJ3K3p3bkZJaHY/PfBNBoeF+RmdqaRVdXWtRLi52xHRUlzA/zKU3ue6N6PnyIqTUb4lf507AqhljsWbW46jaYYA68uEPsnVgW5o0Wbk0yhJIZm44iVJzOci8GnBbn4Mk52grN83e5Z/R+VdP9MWBNd+g5X3j0XXCfITFJmid0pUchNpb6lb7AKvdjqzMjICyeP1bORhNDFNKLVyvTZOQK52CfvDA/4wq8Fnmqo26aU0pIcJtIidvi1icRwnW+bJZgKIZAxH5eJGX1OVW5OSp5mC8EFERDRxhmH7mGJ47egCeohI8mVIRr+zZjx1nshSwTetsK7W2qWERy6tUQTaXj6uyckVyrq3T6hurNY4ZoHaYgPE92mLSwM544q3FeOnTZdTZmAJqWm9blI5rtbb5Orp8uWCbLStyci+mTZ2Cic8/T0smrVr5M1o1b4rPF3yGqa/MwMKly5CUVEbIn5JzqLjEVgv8BfANE0ZNmU3TLkTTFHU0W8glpES7npFRQbUAzgWFiMNmweO3VruupIH6FlO1Elo9/XBgAMVGpXUo2xB0q4BEkJTbTSY0TozFqoMnldrMurrMItgm18uEAV3w8kdfojAvj4Lq9k3rY8vXH6HTzS1xz0Pj0GfwUJw4dhQTxj2Cr7/+GhvXr4MFXg3sMnAsSshVyTV/rTOUVGXmqqJHlnSXBqwNwbV6HYlpCIIMXAX0OnCtl4wLknN1PXzYunkjJj4/EfcPvgs3d+iETxZ+jtemTsL3C99HUjxxHOd17f3vvzMZ53Dg+Ck0r5WqDXLw86+CbSYXFx5+5wtdCHdcRDCkk4+Tc1DB4kA6StB6zovXlWRc30g5q9gwpzagrlP7kWu7eceuCImI0AaoA4FtqlBg/3i/wNhd3ldQcN+4I2xBYQLQ5vJxswy2zSaElm+IcnfORHC5hsj8dR4yV8+CpzBHBticwWY1t0UZeSAMQtqZtV9ShYsKsrnxlyh5VgkV/3jOSEruFrcLqiDZWFKUlQvmkjxOFEgZAraDwqMQGh0Pk81Ba2ATk1qybdvaX/H8gI5Y+/1S9B77PIbPeB/B0XGyIkEnBxfrZWuDALIXh35Zkb0LEnmdjJ2XeaSxLU9Z1E3k5+hTP/m6fi4QCXl8mFNC0/oYkDPYpTXx/ggJC8O2v9bi2MH90j6mi/hHvmbJ+/Px8ZwZiI6NR9PW7fDed2tw483tMXnsCDw9YjDOnDSWpesvehnoX14T/+r69epjy5YtckB/RZ98sdhCZMk1kP3Tql+oOfUnny/Ca9Mm47vFnyGpTIB0l8tuyndGR0UhJztbjnslkC17K+gvefI0iP2bUkz/tidPMHEoNpsMa9DKpbvkkinLFn6Mxe+/SV3CieurPufED3Cz0UlxlFMc2ZRL4mimZ/aQcNw04gW0GjkFZw9uR8aB7ZTRJbmVhiBbZLMlJ3Uxd5uPTAtJ+t6LnPS1D8VR7KtEa+tBtih3zzm+H678HKx+9VGExiSg57SFqNPxTljIw1Rg067kIpVklVoGijL3AY1atqYPDSOfBf2+5BVxGScBy/Xebhk7BBWaNZBG4pjQhzV+RrROk2z1H2Lxf9SIa3i3SX7RZoiCA2asxjkUU6WHyGgToM0nLyw+MzUQGhOejN1FBbjv0E58e/oMxidXxPwDh7D+1FkKtjl4VthqAph5TrZoaKTtozLbOmCuMNqEdSyBl+dml7hRKS4Cnz12FyrERaHb06/hty07NTZb2I8yZiRHW827ZXncQpAv5mCXCrYJyGaMNtk3KjICfXr3QssWLXBHt65ITi6LX39fi/uGDKUSR1m6q7HaPA3D0IWU7WOz2/D282MF+aIIuHVstR6gSQ78/oD73hvLIyUqGNd7a/LwfSjTpL7hNlJL2yVIWdT+QnYAUrYJIE1lRz1e9K1WHp/t2K+UJvJ4qByWrCeBvQa4lesm1G7B8Nvb4KUPFlOZM1kXExqEj155Fgvnvox1GzejbvO2mP7qLMye/hKee/55nDpxXGWINSaaly6TAbgGxBmrzCYF0OoBrwE7LoBrmUXXmGslL1fItw4A4uXSijqArzLfMqO97s8/8PgTT8Bht+HOgXcjJSkJf61cjgcG96fsvgKyiRcCuf+UUlA0P5vdh699tgwP9+7I7jMOsrWHnupmzebKax+O5uQiJTz0Ao89kdbWBrnI33nP3YMRkVoR13uLCbZTE099ZRZ+mROJMX0SiHLiAJ+lpgaotc5l1trE5NYJTW/DyTULlICUgGs+Ccw2T/uxhUQgscMYxHd4FMVn9+PUF48hd8c3SpDN87R5Wg+tqc0zVQWwbdBIrnjx+UxN+kvVrxqZobLahqBaJFDkmE/JrRaZa2VZyW3WWGJ/4KoBbD4wLeZk8+3paScw/4nheP3hQYiMK4NH3/sGN3YbAI/PJIFkNaeaLXNwLTHbfgCb5WQLudhapQke3+oZbWUSS9Lqp47V4mlq3fXeiAM0USeWRrKU1iGIakm+25DHJmD7xnV02XSRE+mD0o4cpNfw41NfU8zUCPMaFYUJM+Zh0pz3sHPTBgxofyM+mDMTxS6X4fGIaTzqCr/vu4isbkGhTRbr1auHrVu3yh9KFy8lLtcDjIt9m3Ywx44fx513348uvfopz4XVP2L4vYPV83VVmmi+xlqZMmVw8mSaMZN9AWabeGMQj4y/o/1tQJt0ulEhSt1n/1I5xkx2VlYWjh89jJGTZlDQ4ScXNwDc3LhClhkJrLdByS/1/SUenNz5F+rd+RAqt+2JnV+9iR8n9MOJDato/pm+TIKcO6MzJtPvc6n/xDwCg/X8ewKcbQO22lgOI4JrcjG4C/OwY+kbWPH8YBRmZ6D1yMno8uxbiCxTTnif+E2a1Pxibm19viJbayAL8uGmW29H5pl0voeWh6M7v6SRTjn6GudZXK1GOp/B77/CJORa06A2y0mRuhV1fFV6h5idrbDfCv+tLPFPUVodhCMJTqxGpprGQdI0RIabSspJMOD1oZ41DDOiKuHW4Gh8mHESo/bvRrvwaHx2+DhWnzgNN5WRsxq2xP2XOgAT1loA25y1FqTlKpMtSM01CXkJvMUEcBP2WgHPvZrVwSeP3Y3PV63HqNc+RHbOecZgk+0Cu60y2XwbM0oj61QjNWaKFghsC4A7JysLk16YjEcfG4djx47hhRdewPfLl6NyamU/R1D9faUBZ/9SHxxAO51BKCkuRk7GaQGYy/v75xWKoNvffZd8dq0y4ejZIBn/hkbYr07zX6I50/pBOzvMKKa6cKMmSGtFgE0N0RRzNPI63GZFXJATRzJzZHkyBd5szoGex4Ouzepi96HjNGVBU0wUo0f7Vti18isMG9QXE6fNQJtbu6DbbZ0x/IEHUJh3nrK9ikGayDbrzMX08mxp0EQAxDoWWr+vVScF52BKVTQEAtCSrNwf2OsN0ZRrkGTw+vDZp59gxMiRtFzn5q1b8eEbc/DjlwtQpUKKMFAlDlgRyTibyLM85zx2HDyKm+pUUeXiiopEANUMXYoD06RjO5GTj7JhAQaNBEmyNmnMdmzjBhg+Zwb+DY0ctzI4JhqiKqVpMtJPU+ZUAw9iGSPtQaGeA50RGi8vJJqi0T6HBZrZe37XnuPMVJHPRXBOlsNTb0RKv9cRVrMDsjctxqkvH0fhsY3KORfk4xRss86xtLg/pGwNeArPqw95SZ0igEQjciWglFwkWiQmXADfDKyKwNZPUq6TaJP153POY9mbMzCp3y04vHMLBkyYgWGvfkxNdjVQreXWa0w1GyhgxyqBfwFUa1JzAzDNVJtcjXlxkzJoUz4yGK1Tr7+87MD3QpC/vk8IHEVlhzzXUk3E95dJTkGXPgPx2nPj8OOyRfAGfLYobyQlF58eNhCJySnodc8w5VrWtTadbseCn9fhjgGD8c6rL2HArS2w6vtl9NoVQXSg7yi1BSChxKXwiAhkZ2dLcaKU++z3PaJ5R+A0xAsfmLJPTk4OJk2dhrrNWmH9hk3Kc2HZYqRWqmAw1HE1m/K5N97YDH/+ufbC8nGdtwkx6gxzXnvJ+N9mhqZv5wuLcSa3SKqfzd0QtY7ThxVfLkZccgqq1LtB17nKTopSpyvlqQidEpfTSO6LSvkVsdbp7uULaDmwcs270NfZaYexfeFrOLNzLcJTqqBKl/sQW6cFvYBp+Rx+U+vPoAheBbbpUptooiZ8tFSXOxDA5bemaJ4hH6IMskuK8nFo5WLsW/EJ3EX5SKrdDG0emgJHUIh/YCiWyhCWRemqfzApGJoJskiNhfFn6nb89Qd1/xw4/GH1M9TvYkEpOX6Su1g5NlRxuf0XtTVvfYaPh44XILUMm3lmtgiXr4bIZTdykQU3WiKKnmepzjYzSVPKf5kVwzSrGWdRjA9y07GxMBeVnUEIt9nQLjEOfSqXowZUtOQSMbKx8RJfZsUQjRmh8YmuJ+u4cZpaFkwxVFNN1ZihmkmdK0Zov+05ihcXLMeIbm3RtWWjADW32TqWQ6gYo4n7KeuoKZpkkKa8Pl9QiLnvfIiZc95AYVERHnxgGAb0H4CnnnkWny9aRGWEvJyTWDdZKc0jVFTwiWZoQv1rwfhsz/YttM5smUrVBFWOwqLIbIwcFGrySM0YjXwnYcRe7l4biTTn89/Tdry/EKsffkbLXzYBr+elYWx4WXpdqhJmbphETNFsFmFZufY0kzTFKI2U+lqTnoEThUW4r0ktWuaLTKQ8HTVEc9hhdjhgJnOSP293YvfJDLy69Ce8/ezD9DWZQOpp2xwkp4X6B4x7fhpWrPoFlStVRGxsHL777lvYHE54iLEUVz8JKUN+uYXCf37bpP10zxchYGAvhfUG6UDqa//1/P36AVmePkTmpKTNvffcg5WrVtF7eeSw+zF+zEMIDXaoDDZ39VcGsfhAFzFAY/MSN1586zPUT03BrY1qqmW+qCqFKMZ4+ggdmCuhTv9ksI0Pwr27ficqhYWgWXyMsl00QysWJ68yJ8Zfbi8sIWFo+e1nCCWDAf+iRuKjfWfzUexljKfXh5+/WkT7qMbtb1edrlU5tMiOioCOgTatTKDWfxDDM1rui+xbWIC0NUtQ5qa+zASNxEbMyZ+XCjSYk8ER17njyPzzAxQe3wJ7TAVENOiJoJRGqkyfu5krjuVMmk6My7jpmZWogsh15IYjJMwQ2NO56FdRSiyiN0rT+1nI68WBUp0qSFf+jrSigjz8tuQj/LLwHbhdRWjRcxBuHjgCdmdIQANafZktsbIMVz9qZI1I3CjfaRSccwXfxTbytxG1ztibUxFLatr/i1pmfjFOZBcYlG/yN4yDjozhr+mc/+8DXC4Xvvr0PWSkn0JEVAxatOuElEqp9Dwp5nTnkXHmNL765F0MevARRMclMLAmpOcJCjTefx49uBevTZqAtb/8jKq16mD4I0+gdftO6jUqmk2qg+pS+S7RIE0bsNeXr5VKOQJ4cMQDeOqpp1A2OZkZoGmmaFTBp54IA1msH/y7iHxQnw+5uXmY++bbeHXOfBojjRx6H8Y/8jBCQ0P8Jacm4bOlrxIGBDRAoxs9FczQ1HWMFjSZcPDQYbw+ezamz5ipPkelmtl+NbSVg4oLC6ZGzv9ZoE1a+vlCnCtwa2y2zvhs9Ypv8cvyb/Dwi69Rt2DJXZxJefSu43omW8vFNhjh45Ik1tkVFxXi4K9fo1KbnuqNK8rFM/dtxt6v38a5fZsRnlIV5dr2RVz9NkoQH8B1nINtkcm6pFaKS7mU98mWA7VAruMcZLtyMnH4l6U4uHIxSooKUKl1N8ritBjyNGXMjB9s/mybxLgFANp+jAuTU4plSMT9SoqL8NLYBzCZ1D/0cx7XOqZKMaEIdVjxb2yfjXwGv8z58G//3i3IoeZojRChSl8J2HYKbuQOAWyT9cSdfK+vCJ/kpmNbQR6ibTZUDwvDS41qU8NDDnhoQEUBkd5dXHMeV7YxoE1cyylosvrV4ZYANwPLROo+ZdGPSDuXg5eH90VMVKQAssl3Wf3BNns/+MTrZgtg+1TGObz58eeY997HyM3Lx32DBuCxR8YgKTmZ7vfKzFkom5KCXr376FJeNJBNXKd5fhxdr5aE0QYB+WsuQ/zt+2Wo07IdzHanpsCRmBjZgVxNj9EBbfJMfbJDVdRJisC/sf366ETsevsTFWjPyjuBcRHlBGm2DmhbhYkDbavOjdxpg9sCjFuzGW92b60AbYcCtC1BDjonINuiAm0FbA+Z8SHGDuyOWtVSAQq2HbTuMAHbPosdPqsNa/7aiokvv4pffvsDkZGReHnaNPTo3ZuaP6r+I2pwLQ9+KktsLjEybK9SAm2juEWVHl4AXKtzIX9N3l/pU8+cPo05c17HbOKu7vFgyL33YNyYUUiOj9Xk4WoZPRlsq34JrDQfAet9Hn8J30wdq6gEOMimk1I7m4JtAqwFRQsH2lNWbUD31BRUDAlmgFoD2l63ALD55CapASY0/mAeYls0wb+xHcjIw5GsAlXmTFzDi0lqjclCATgH0zLA1thTTjzIjKoGtlUHcuY07i4qwrk96xBZrQUF0ArYZqCaLHODMlE9Ihi2FaTtRNZfC1F0aifsMRURXud2hFRsBrPNxgAzA9xMji4C7aIzB5Czdy3KdRisXH86kK0x7AFUPlLag+xKrgJqHQgX1UXq9a9Lx+Hr87IysG7ZZ/jzy4/hKsxH4y53olXfoQiLSbhg7Wo9wFbBgCCN1wNskZW9Go38zQ/dVBlV4/1rRP8bGgHaZ/OK/Wpna2BKXi82/SCmup4YwhYXY/tfa/HHyhXoNuBerP7uS+zdvgUpFStj2BPPaWy0EF+LQFt0/xYrN2xZvxZvzpiCjX/+hhp16uGuoQ/i1tu609Kffo7jgYC20Bf7f5f2mnznggWf0ff2vfNOwWlcAdsmVW4tSF9EsH2J1xkpvfXWex9g/tvvqjHSuIdH6vKwdSDeZLq6QBvaevL7d+veHV9+tUy6Bgzdxxnojg5xwmH7e/HCPwK0ad7VuXzkkoelUA6HTKSW4dZNf6FKnYY0IJbYa1Zyy18CrpOLC3M9yKbGFgKLnXl0HzZ9MhPVuwxCfM2mhiZn/EbN2LMRB1d8iHN7NsAeHoPkm7ojqdntsIdHyyeV/SeZH10CzpaS+E3+kgh+E0oqkAD5Hcq9JXc/5PznHNuLQz9/juPrf6TuoRVadkGNznch98QBlL+hjVSbV3QtvapAW6gXLDLb/DMICD919BDKV07VsdnafimRQYj9F+QcBWrEEXnWrYOwd+Ufpe4n8t3+7LcR8204/CN8gg9/IAuJcKCqKUQFNxxg20VGmwFtut5ugc1uwc6SAizMSsemvPOwm83oX64s+lYuh3hiLsGBNmW1BXAtzkX2Wp044NZAuD/YVthvMt946CQmfPQ1xvS8Fbc2rauV/+Kg2iwDbHVuZSy32UoH8jbs3IvZ7y/A519/D5vVhkF39sCjD41ACinpxEA72Z/k1nW7oycWLloEZ3CIBLQlwC0pdPQeElrOH19e/e0XyM7MQLs779GZO/oz2WJJL5HRJvOBN6SgQ/UE/FsbydH/ruf9SF+zll6tr+edwOMEaIuKGHL96EG2wGprQJuX/LJSxcXI1esx9/ZWcAY7FZDNWG0OvM3ElI7UQCeg2ubAobPZmPLZd3j3udEUYCsAnDDaDvisSok2Miege9Wff+GxJ5/F9p07kZiYiCFDhmDQ4MGIjU+UHvCaFBA6MC0G2HydvI/Y1JjEYL0huA4AuPln8HXkubBl8ybMnzcPi4hyw+tF19u64OUpk5GSlKDlYKveB1ptemWdlp7BPRQIsJ71yZcoEx2OHi0asHJfItBm6SU8rYQBbQK4FZbbjbHf/oYnmtVBmNksA2rOaFOwTUA3Z7S9qPbkYyg/qC/+rY3EHZtOZON0ngt5+QV4fcIjGPHibKGeNM/dlZlqzYtG6UNERlsC4mwfDrRJ2tyej55DuY7DYQ+P0wy0WAoGdwGXl0Wpt+KTUHBiO7I3L0Vh2jZYgqMQXutWhNdsD1tIlM7NnN3LVlLiqwDHvp1NS3z5AWsRbHNW20BFpwJpwYhQ3OYXlwjxjXhvaODbh1P7d2L9Vx9jx+rvaIxUv8MduOnOIQiPS5QB3EUAa21ZZ3Tnx2hroCBQM+JV9MoWcUu/hslokxqHf2sj5+ZARj5yitzygIYAolAK0BbJMHVrqamXWjOKrfWDkmK/Kpbi2vjHb3hn9gysW7MacQmJ6Hv3feg18G7ExSVcGdCWvhs4feoknnvuObz5xhv+QFsF05cPtMk53rRlK+a8+TYWLf0KNpsVd/Xtg8dGj6T52AHVFfSzxQtSHBkWo9nSgDYH1rzElwy0ybp77r0XL02bhpjYOHkQRhjU4q9DnXaEXIyx5n8BaJNGAsV9Z/JQ6FbANpkOHtiPd2dOwRMz31QfFG5dnWxRfhlYLq4w2XqgrQXBPhQXFuLYhlWIr9mY1uol7pv+INu4g8w9eRjHVi/G6b9W0JzQqGo3IPGGDoit0xIWB8sr0Y1yXSyjLUrC2ceo6zkAV4E2/x5cnIy8IPMUjq/7AcfXrqB/Q3BsGaS27Y1KrbvCGRKOvSs+hT04BNVvvkPI5dJGePXGS1cCtNVRaCGHTPoexmJt+PVnhISEomGz5kK9QeUz40MdKPcvMHy6UMs/l40pjW9HxqFjKmj2B9IX2wIBbA2Q83UeeLECZ9EC0YiGjZ5TCrAN5mrdbauZSvTtNiLLteIEivHemTT8npVFP7VZXAw6ly2Dm5PjEeywqey2H/gWGW0RcDOgbcRuq+CbsdVkKijx4pmPv4PVasWke3vA4XSWymabLDYKtI+eysBn3/2MT5etwK4Dh1GhbBJGDO6Pe/r1QkRklALCGcCmYJu8Nlvx1bffYdfuPXh03ONq+ouRdNy/RKHGQrt1y8XuEsx55hHc/9x0yoirJjwCoFaZbF3tbM5etagYg8FNrr962ZfairKy8U273thxcD+2uvPQNzReMPPSgnNlMl2Y0WZAe+aWPehZpzJqJMX5gWyLg9SDV8A2B9QEcPd7YT5mPz4c8fGK0zBI2RGrIh8nk89iU+c+sw0vvfo6PvpsIdLSTlK2pG27dujTty86db4NwcFEXiqzVcaMtrLlYhhtvdJJD671qig/IM6Wjx87is8XLsTCBQuwe88ehISEoHq1qvj4vfdQsXxZVvpOJxOncwFsSyW9NDa7xFWIzg89j29eehQWYn5GgbYiKecVBFQ2m/k0EMaaAG7ldQmGfrEKs25pSuQhOqm4HmAry4ndu6Hm80/h394IG73mUCaWLV6AIpcLLbveqZWikvKIRadtLe2E9w8iq632KyUa2PYyhjv3+D5k7f0LiS3vFNhrog6AP9gWy49JgFtZX3zuOHK2f4fcfatpjBScUh/h1VsjvEozWB1B7D7WXM3PH1hPy40p8bMMrhXpuCAn18nIxZQ1lRwQtxsx4YI6TvTWyM04id2/fIedq75GxrGDiEhIRuPb+6P+rT3hDA2nv4sEnOkK5feSGFdd3KhfFmNNrd5v4FQ/sfH73G+9Lq2EtNaVY3BX43//c4Fcq7vTc1FYQgb2ZAXQBYF2KTLyQGdZw4ZaHB64T/Wvjy0C7kP79uLTd9/A14sWwO0uRvPWbdG11524pWNnhIaEXCbQluXk3bp2xZdffEGvbeUPZfW0qXycv740oH30+HEsXPwFPvt8MXbv3Yfy5VLwwP334p6BfREZESGbkxlJZo3PKPTbSgXaArj2mYyB9gcffojgkBD07NlLq7mu3mfaQDdhscOD/hlS7h8D2qQRkL3zdA5cJT6cP5+L8cMGYtzLcxERGy+X7BKMMGQJpj+TzXMVjZhsvpx18jD++mAaqnUaiPhazaSHBs8bD9hBqgYdgLsgF2c2rUT6hh+Qc3g7LPYgRNdogpiaNyKmVlM4w2OlTvyCTRcI+a/X8jr86vIZfA9lro/vx+ntf+D0tt9x7iA5RgeSGrRGuRs7IrF2M9VF3FtchM0LXkWze8YrknGBzfZzNb5coK3Lrw7IZrMHKWG0Tx45iK8/fRejn52qysfJPhFOG6rHh17XpbwupZ3cuQ/TbuyBoty8v/V781BCzdE6Io6aTxFgrZ80GTkD34zptjkIY2iB1WnFGZ8bzx/aj3MlJTjjciHIYsGNcdG4KTEOLZPjER/qZEBbAUMKsFZeG7Ha4jqJ3aagXQPcHER/s2E33vz+d7w6sh9Syyb5gW0i/d526DiW/7kZ3//+F/7csgtBTge6t2+N/t07o0Or5jCTeu8qsGaMN2O0+Toi3ezeqw/mz38DMfEJkkxcnOuBtkfnWiuy1lTJU+LBiSOHEF+ukpzLzQNoHbAWHXfLRwdhdOtUOjD1X2hZe/bj4eZtUc5jRl2HorZQ+wseoIuDN6Uy2mRuxbfHT8HmsKF73VRYnSQ328aAto0BbZsKtImEn8xXbN6DncdO49HBfWCy2RWwTUA2uU44q03ANp0rgHvlmj/w4rRX0Lp1G5rX/Oeff1Lg2u6W9ujQ8Vbc0r4DEhISDXKyfVeP0Q4oC9fes2PbNvzwwwosX74ca9euhcPhQHJyEpLKJGHGy1NRt1ZNzSRQdO3XycVVAzShnB43kCNs9lcrf8fBY2l4uGd7NWdbLdNH55oxogay2ZwB7vuXrsK8W5uxbQZ52QKjHVanLuq/MYemo/wX2vkiN6a9uwCV6zeBxREsycYl1YsOXGvbFGMulcUW+xQGtj0MbBP2urggDx5XEazBkWqso4FuHgvplhmbreYWc8BD+kJXHvIO/I7cfb+g6NQeqg4Jq9AQYamNEZF6AxwRsfRZn7P/T0SmNqIgHALAFplsje3mIMRYRi6bTgoD+H6xinJPnDuyD0c2rcHhjWtwas8WWO1OVL2xHWrefBsqNmhOn1FqE5gyEaYFkn8HWtZXrTGSoAdqIrgTG5cw81Y1LhSPtq3yn3kuFBYreIE8Y/USctIuNEARSEZ+oSaTXQLIFhhvLbdaY7n1kvLz2dlYsWwpvlnyOTb9tZYOvt7Uth3atu+Im9u1R0Ji4qUBbWHd8889hy5duqDJDY0EBpvnafPX4pydEeFCI9flth07sfzHn/H9Dz9h7fq/EBQUhK5dOqF/75645ebWWl5zaSCbnyzp7AVeT98dEGizfQmoZuBaD7RPpKVh8uTJmDN3nh/Q5kw2uecjgv+50r//KNAm7VxBMbYcz6TudeQhEBwRZegM7meGZpinaJyXLTLZuWdPwV1cDLPNAUdkrDJaSzo83gEygzQjiQp0UgRxSKww4yTSN/2MzJ1/4Pyx3XTHsLJVEZlaD5EVayOiUi04o/xlnbIkRTZbULabLhpo+7wlyE07jMyD25B1cAfO7NmIouyzsDqCEV+rMQXYZLIFKaNovGMozstG1pE9KFuvue5BJTuX6s1CuKOtJikPZFZinF9t+Frvtmsy4d3pL2D4uAnqKDQxfKqTFP63WfP/XW3rsh8xv/vQy8zPKo0FL50VP4ZCpKGQMttKrjaoQZoR2OaScrqesNpMSk4AjdluxoaCXHxw/DhiHA5kFLuw63wu/fbqEWFoFBeN+vHRqJ8QjeSIEA1sS/nagoRcAOGBc7cVKTh5/4msXIyctwhDurRGp2b1sPNYOtbtOYS1uw7il827cDIjC6HBQWjXtAG6tWtJQXZ4RLhmkMYAuQKwjYC2sn7dXxvxyYIFmPHqLH+QzdJguFkaX6ZpLzzIFXKwOeAm+dcvjBiAYRNfQxDrA3nArM/X5mUMyXKYw4pH2qTS+X+pfT1zDrJenA2nVJ5KMVIS1REqqy2aodlkRptcm7vP5+LXUxkY06qhwmZTgC0AbaK+EBltmwNeix23PzUD3896Xsnf5gCbgG7OaDOwTZepCsKG46fO4IFRo3H33YNQt159LFm6FN99/z02bthA7+169eujRYsWaNykKW5o0hTJZctKAFvvrKtvWvhhMBhrIAsn6Sm7du3E+rVrsX79evzyyy84deoUnE4nEhMS6EBA19u7oG+fPqiWWpkFaKyevE/n0O8HvIUSetT5X6sEQKbe46bgzXH304FR6AA2Ad0EVKsAOwDQvm/pSsy/9UYZaDMWW83Rdntgi41Hg/fegT0q6lpemn9723EkDVuztL7Dr4RpgDiI9ytq/rZOWs7nHGQTGXneyYM4vfZrVOgySjJC8wVgskWwrbDacqzEWUDSSnLTkbtvDfIOb0DhqX306g5KTEVY+Tpw52chukZzxNa9WWO19YCbyck52Na7qItycKOYhWwn1/P5tIM4u38bzuzfjpM71iM/6yxszmCUq9cMlZu2RZUb28EZbJzPrIV9mus7n/GYsHSgLZskaiVcOeAWZM3+PohCSqEQK/L1AqiLDbHjmVurI/xvdFb+O1pWQTH2nc0zBtrsv0Bg2+icSttKiZL8QLaY0ukHjDVZt6RqFZjoE0cP47svFmPlD8uxbfNG+vvXrlsfTZu3wA2Nm9CJ+MGI75MM+nRA/K/167Fi+XI8O2GCBLI5mFZM0fhIjvLXlpS4sXPXbgqo1/61Eb+s+Q0nT52mhmbt2rTG7Z07oluXzggLC1U+ww9YXxnQ9gkay0sH2jLT3bVrN3zx5VfKfqJZHumDTCaEBztpH/BPtX8caJP24ZJlOJSehSZtO8pycFUu7i8VNw4+/fOyRSb76IZVOLL2RzQdNpGx04IphdjZifWr/W5kgXkQJYDCWXTnZ+Pcnr9wbvc65BzZgaLMU3Q9Gb0NKVMRwQnlEZJYHsFxKXBGxMIeEQ1bUKhUc04cLRNvchLguHOzUZx7DoXn0pF76ihyTx9B3umj9AHicRVS0BGZUhWxVRsgsW5zxFapBwsJEoWmylt8Xvw2ZzzqdLsPsRWr++VmB2KzpdwoQcrlD7S1B58+v1p6HUA+TvYpysuljp9lksrCZjGhXlIEQuz/LWDB23eTX8dXT7+iK9wlFv66HLhd+loyX4kMNEA44k12xYmclEDQAW31NWe0BRm5yh46LPCaTfjqbDr+yDqH7slJcMOLteeysD37PNIKCul3xwc5kBoZhspR4agcHY6K0eFIDA9BQngoIkKDYLERAM2Za7Mhu+0zm5BZ4MLZvEKkZedh76kM7D5+Bj9t2Yus/AK4SzywWiyol1oOLetVR8cbG6FFw9pwBgdLMnIlB1sA1AaScZHVJvMhw0fgwZEjUbNOXcNcbUM5uWCCJoJuvn7X5g34/ftl6Df2WdWlnMvLpdqprP8jvcUDzSsgKSII/8W2c8Z87Jw6SwLaVDrKALYRo613HifpDVanBenuYry78xAm3dpMB7AF0G23MZDNAbcTz374FW67qSma1a8NEGMnCrQdytxKrgkCtpU5TTWgMnIrCopcePP9j7B8xQ/o0rkz+vXvT/Ngf/r5Z/z4449Yt24djhw5otYCrV6jBqpWq4aq1aqjcuVUJJYpg/j4BFq+xW9Q1UCZRwzLMjPOIv1MOk6eSMO+vXuxd+8e7N+3Dzt37kR+fj5Nr0gqU4YaE5ZLKYvu3bvh1ltuoc7pVMBHIxQGqnmZLiob57XnOcgWmG4Ounkte8ZoE0O0oydO4tk3PsW7jw9RgbeSo60sKyX8illONnMavxhGm4FrZZnMvTRfvs7sOQitUgX/xbbt1HlsOJFtXHnFEGwbS8dFwK3P06ZO414fdn8wARW6j4HVGaED2joWW7dOSwM1ZmRFgzOv6zzyj2xG7uGNyD+xG8XZp+k+trAYBMeXRxCdytEYyR4RC0d4NKzBSoykgW0GNKTYgwS1XrjzclCcm4mirDM0Nso9dYROOScO0nQG8hyJKV8NZWo0RLkGLZFcsyGsJH1EAEYXapICRRcL6sG1Aqx1zLUUdwpAm59DHYZRwZ0oZ1YxiXbcTqsFE26t9p9IqzNqaTmFOJ5daMj+a0og/wswENAR43tRIi62QEy2qBYS2WwjYC6aGKugmwweZGbit9U/4deVP2PTX+tw7KjyXCDPgGrVa6BK1WqoVq0aKlepQvtvMjgaERGhleijf4MXd3TvjmXLvlL6cQayPSVunD17FmdOp+NE2gns2bsXe/buw779+7Fj127k5xfQ50K9OrXQ8sZmuLV9O7Ro1pQqnNSzQgfMjED1P8lom9gmeiYx7oknMGjQ3ahes6bfgFYY8WX5h0m56wJok7b9VA6OZBVKDxL/momiLCqwnNIIZBfkZmPTZ6+h0aAnqNxUAtmMfSpN6iM1g5FHqelGHV25mTh/eCfOH92N/DPHUHD6KAoz0uAjQQprRLZqD42kTLvF5qCviYuylwQkdOS/GB5XAVy52Uqgw5rVGYzQxPIISyyP8OTKiKlcB1EVqsPmdAaWq6tgF/TBk3lwO6q27SF0FpcItksB2lI+lV4uXuprLaf7bNoxfDpvJsa/NAu1E8MRE/LvqJd9ue2j+x/H7+8sVF9fLMjm+2pjhRfaT2v5KMEvyEQXKDmxRLZvJCP3k5VbFeBNmG0Otjn4yYcXn55Mw9HCQgxLrYiqUWE4V+LGjtxc7Mo5jyN5BTh8Pg/Hcgvo/cebgwRBwQ44bVY6kdwaq9lMZZNEYk2mfFcxMvIK6f3LW1iQA1WT4lC1bALyi4pxvsiFD58YirjoSNUEjYBrWDnAFuYEJFltGsCWWGx/oH3yzFk8OPIhfL5osVLui7HZatkvSUbO5lI/JjuP8/U558/TzyMSSr2JmtjvkeC3T71kVE8Iw3+5bRgzAUc/XeoHtKl7schqExabg21yLTJWm6Q1WJxWlFhMePK3LZjTrbXAYGtgm7qPU0bbrvS9jNXelXYW736/BjMeHULBtQK0iYycScf5NUHZbQa8KbOtKCLI7/bVt9/jy2Vf0/SoKlWqoFOnjmjVqjXOnM3AuvXrsGHDRgaM9+LQoYMUNPNGWOfY2Fhac90Z5KSvSWBEStS4iopo7m5ebi4yMjIoUOItLCwMVatWpd/nsNuRlpYGm92Gvn16o2uXLnA6HYJxjiA19BqA7EDsNgPcPD+b5maz2vWE2Z4w5wN0bFoXzWtUloE2Y7QVoM2dxhUjNAloM2O0+79YhXkdOKNNQLkAsktIHW4TUidMRHTz5vgvt18PZ2L3mVwprjEC23pZuWSIRhlueeCOs9nc+MyVcxZmZzhgsrIcbVEezoG0vI5LxUWlnz42oiy04CiulH5UnvclBVnIO74Tecd2oDjnLArPHkPRuTTlOmTNbLXDxmIkco/SOYmRPOTaUcz3SlwFKDaIkcLKVEB4mfKILFsZcVXqIq5iDdidQULcwo5NAEMXbGKs6LdeC/QvVPpLNEaTPkYA2xLZIjR10IEtE0AxpnVlNCgbif9yO5iZjzO5LkOZ/YWYbX0LOKAhNBFk+/lhGORma8pU0adJkJQL36PP0T57Jp0C7i2bNuHg/r3Yv28vDh86ZPxcCApCkFN5Lhw9epT6iRDQXVSkPBfO+j0XQlGtShVUrZKKWjWqo2njRmhYry6Cg4OEoFD46w2Z7OsAaJOmstpm/Pjzz9i+fQceHj1achoPdjpgtwqpH/9Qu25oQQKgyMjr4axCVoeWGQqpJcA0+bdhyS4qcxIZam06tWsDzI5gNL73aRVYiyDbezVBtq6RzY6wGMTVa0Un3giALjp3mjLT7vPnlHleNjxkhJ9MJCDxlFAmmjxUCPi2Opx0ZDcoIgbOyFjKhjsj4zSJVYDcHd70ksL03RsQHBGtgGwmRbw64gphNJay8P73G8/wUM+zSXHNpq+lZSChbDnkZmehcpTjPw+ySRvw5hS4i1xY98mXWufOWukQmvuOy57j/JW2VQPj/PNCYEVZBGE/ClDVFwKvidWY54ZfhJ31AWYvG43l/ZxH+RQfCXjZgVkYCxJsNWNIcjlkeIrx6oHDaBMfi9vKJaF1bCzalolXAXmJCTjtciHDVYxMlxuZLheyXG6ljiwJ/EgA6fPBabcp4NthQ7DDjoTIUCRGhqFMdATKxEYgKTaK5mZys7Rfdh3GfS+/i/cfvw/RkRGsszbB5GFzdWSUzT38zJIOncBd8jeRHFQTfF5lf/o+nxdJCQlofmMzLPp8IXrf2Zddy2Q7u/Zp/pCPzi1szmtiKkGdDxafCV4zkTkxuRMBkwBmjh2CsbM+oEGk2UcGxXyUvRfvqe51kv7zIJu0RtOfh89VjLSl31zR5xCWxyUEKvqmMHL+U60Kydhz5AR8Hg9M5OLnNUrJg4NcG1SqplwTZOCU8Atit2c1W9Cz623o2b0rffDv3XcAy775Bi+//ApuvbUD+vbth263367er67iYhw7dgynT6fjTHo60tPTKYguchXBVeSic7fbDaeDBFcOGmCRPLqEhAR1IizGgQMH8Psff+D0qVNo3bo1nn7yCZRNSqLXtHKxefzy9kzi32YEssXarOq+CtCmg8ZkAIitLyl2Y8Pug3j+np40pYnvz8/zRY/vs2CUSAFlbxz2zLOYUXnc0/95kE3aTRWiKVjec/bSfDzk2IBM7FyK+wgxrj08FgeXzkC5LiNpGURlX4b2VMm0sqwAP0EbRWfC00X4HqVSisoJqtvIvrbQKCohP7djNar2f5bu6/WUoDgnHe68LJTkZcGddw7u/Bwl5cCjAGuvx+MXIzkjouEMj0FQZCyCouIQHBUn+c7wii0kZlT6ajaJz7UrANoS08r3KQVsc5AtDhqrnyPEmfxUayCOHS/bRgbIH2xZ8T8PskmrFB1Mz1lGvksS66lXIjk39Dq8uH5GvYoNfvcL5fUGNqfTy8yF20FQIki4lqj9EhLQ6bau6Hx7VxWYExO1E8eP4Wy68lwgYJw8F4rJgCt9NhQhODiYmnA2bNiAPh+Cg5xIiI9HQkI8ZcGTEhNoGS5DJ3J6MAGA9KW2i8yD9l0kKXQxjaRivfXWW3gYo9lvaUKI0wbbdQCyryugTS64hsmRtIQOBdsGrr3iSK6HO4urIFuri83rc5N5zunj2LHsPTQfNc0PZJPP57KdgCDbcLTs4kC2+B79NWy22hAcn4KQhHLSqJh2QsRO33TBHO2LPs/svfln07Drmw9w8yPT5VHci33IXODvpfcwN0A0lX6bKQ8eAlLkZboXPdcmfPjxJygb/d8HFqSRkf7BH0xHiasYGxd/Jwm9jX8aSfTk9/AwWuKfJDyjUAOh1IU8FcGKozYBhwLINnl9NFih1zLBGWq+kAayyTYCsjnYNlt9iLHYMLFKVbx94jhm7NyHh6pXht1nVYMNUlM1JSgI5cNCmEScmaVJOdlaSTBad9uvPJhVYdPoH6N8cOsaFRAe3AkDX3wT7zx2L8rEE3NCxUBDmfOA3QSfhwdgZG6m1yD9owj6pX8sBx/a+0ePGoluPXujbbtbEB0bqwZrdJCIDxaxudnko6ys9rEm+CjIJv0RWya+DuHhaHV7T3z/8ZvofPcI+MzyoBO5+W+rloga/wMgmzQic77h9Repkdbpb3+4Rt/CGThFPq3MNdBYvXwS9h5NQ43KFSjDp0qpyc1AAbcCXJWiQCXaPUb+I78flbdZqKFNjaqVUX3sGIwd/TC+/X45xo9/AueystCkcWM0btwYFStWRMXy5VE1NbWUkwIUFBTgZNpJHDt2lErQiUx8+fffU9ajXLkUtGjeHBMouE7mV6QCmhUaUgPZnLHgOX28LIwhyNZNih01y8ESJp8Pv2zajjYNaiqDcFSBobng+uX4ldpMiAl24lxRMaKJIoV1OnRmtaDiqMcQfVNr/C808rffXDmWgu19GfkX/z4VDCgAW+v5dTQeQ3Hke5wxycg9vAXhlW/QADHt3JX3ks+i63gsIj3oNcAtH78M6MVG3m4NIWy1k8q9iZ8N6dODYstS+biYm837bL6OH7OWxyqnrNHHFRvJJH8DPVw20TuT9NFsv0sF2jwXVP+36E26lN2Na27rS8kKH6/uo45niMfI8k/Jb0H+jhEtKqFpebnU7H+1kb87NTaEnrNzBW7l7OrOEf/vogb1jMCwAJYDH4f2ngtdM34suTiXSWTpeEiz2+w0pSg1tYqQ6y0z5ITBHj58GF55+WWhL+eUFmOn6Trx9pcpGbbjZWNs+SRcaIDi6jUy2EyefcR/i6SABDkIyL5u4O31A7T5Rd2sfDSKPZk4nFWgguFATLYMvJmDIzMf4s/8zMN70Piep6iTLB815ID7YkC23/V2iSBbfZv+b706AzmltMC0NrkXMg5sR7N7n4SNOOyqN60MwK7k8NSHBAMf6nrh71YlZxz0cDAhPqxMJqp2KBv538xDDdQIyLzv09eokdHWLwnA0OA2DCG1f5MvMdMFxxRtMCMFQTiEAqQSVpsFEgRoE8BNgAIH3FTFQzAGv1ZKSECubCMgm+fpkfvITAC3z4xhZcthVVYmHtu0A0/Vrk6dyPUMopL3Z6HvgVV5bSaBOgHTYpDO7k81H4ldQEomjva6QflETB/SA/dMe4eC7eTEeBYDMmAtsNsay03yABmg5usZwFZANwEgJEfdiueffQYTnn4K8954g13rGpOtzJVDoSCbyBQVrEyZax4AkvXkzyXSaAKB2tzWC6fTTlDVC6nfqqRUKH/2LVXiUPN/BGTzRtQJjea+hI3DSpD+wyrdxgCXthDRs19NKIkoREey1lDtuKhckwbnXrRrVAsr129F9UrllEBFBJhE+UBBueKfQbEIZbi5epUwguyZwSJ88pqYDna7rRO63tYZJR4P1v+1EVu2bsUPP/yAY8eOw8vSipQg2/8PJFLypKQyKF+uHMqlpKB1y5aoVKkCZe6UP43fFwxcG7LXwnpDtloHsulrvl2TmuvZbAKqF/30G8YN6Crsq32Hph4I+ItrvxNRNIUGIz2/EDGRYSqoInL9csMfQkybdvhfagQ4tq8SjxJv+kWBbR7E+8tZub5JHNRXBvTIDxNbpw1yT+5TQTGXL0usNru3lKFA8WaSbiztWAQEK1/R7D0+ILnNXTRW48GACuf5PaAyuvzZpaJYKhUizytyB3jJACl5aJHGlvnglwi0+cHIjLbxPWfUxJhR/GtUgzhpXxlg8xhJjEnFsyay2dpnaYMl7OlEny3DW1RGy8qx+F9q5DeqEheK/WfzqKlywP3E68Rwe+DPN10EINcuFf+oTBpcKu3LLraxGNlkEFOTdKGiIkXxpIJMLq0SI0d1wCxwkzWRF9ku+Y/0Xfp3lPI5ZKD6rw1/oU2bNtcVyCbNej0+SFpVioHnoA8HMvO1ET8DkM2BtZFcnExblryBap1Ix+1gMqFA8p1SQLZezqP+dxE3A3+vfsjqajXp4alJWOQROXFZCfT3/rAAqa27wREUEuhjr/LxsnPLALX6YDLpATljs/noOUyonxSBsv9Rs6cLNYvNhqGfz8E7A0Zj46JvA2AKbXhSCJ2kYERjs5Vl5cHDH0CyfKcmQvETMpAKpe6vwrgqrDYRxXLATeec7SZAmoJR5Qgoi2vyKp0LoWoFLN0mMhoVg4MxYdtOjK6eiupRERLWprERu8mU12SDRRmYEgZn1b/TZ/Fbz4hf9VW1xBi8/kBvDHnlPXzy1DBERUWqQFphZ0RJuRkmoufmIwksH1UD3Ww1e924YX0sjYnG999+i1s7daGgOJCEnJw/hdVWPsdLWG4Gsq3kNBEpOdluMSMiOgrTH7kPD894G1aSQw6gbWosqsYau+H+15vZZkOjN6Zjy0Pjcfr7H+V0GUmNw9kuXndX6QQL3SUIIg9fAWxzKa0xFaFdUC3rVMNnM9/HiDtvV8EpBcASgKQ/IIuclYiZfDcF22YfvTfICoXd5g8I5RiIw3+LpjegRbPG2j18MYE+e75oUkBoknBhe0D2WrwxGYsvAmg9k23EfIvv58tkkODEmXOoWCaemqJdqCmPR64mERlKZSofGYojOXmoGR1OFQ4mqwnlHhiDqJY343+xkT6jUzVSwSQdu9Pz/BhUsYlALVDYopLP7FYg+zmiElCYdcp/J5HVZgOJVKLLGG6+bBhDyGbBhs0RlYi01R+hbNtByls4I6EGXhw0qboRLbxiiIPKsck6Hdg2ZPTprcvew9OiAnQJgXoJbZyODQsI2F8lZgR2WmSq+WCraJQm/W46iEiPQZCPkWfxqFapaJ36vwWyeTMzsH3gbB4yDMC2etleYTyrDlixV9pYral0YH2xjaVMXulxNmjQAJu3bFXKfAmx3wX/sAsBG0NVAPv8y5bAmnDFTWD/27ZtSytoXG8gmzTz9XrzEIlU5WjGqvlKYbJV6Q0HBArIPrL+Z5S4XbRutGpKoQPYVPZzAZCtdYqyCuOC7VIVclfQJJDNAxRxuwCyD/7yJQoyT8MeZOxIKQau+vyRy2tyTTv54RFATcDCzUZlI/9nQbYItu//bBaa3dVDWOv36GVLgnGFuk0bydQCFOM9wFhtJ8zIRYk6yEVCdzlfW/NOUKoDyCkexFjHU+JTSvCwiZgWEQMj4hBc3ubExKrV8Mb+w1h1Ml3YpptK+HIJvCUlwpytk9bzdR742Gsfc0Im88pxkZh0122U2S7Mz2fOyMwlmeTu0jmrBSyWMRJdmLnrsm7bs08/hblz5yIz44zCWKu52LLJiVZ/XmG45TJ2kAwEQ0JC0b7XQCyZM40CsXapcf+zIFsE2w1mv4TkHrcLUY0AnDWqRxknYT8GWX+6oAiJYcEaIypOygcE7MTDQ4KQV1hkCE75JDLBKkAVDcSE60Ysj6VM4jVXwvYpuYhJV17L73PFz2P1rvn+quGZwlIr17OWc+3PZAuSc0EmTlls8Zz4fNi67wgaVCVO5hffVLZU+n2UdfUSY7H1zDkFZNtsSBn5+P8syOaN9BOdqydQdcuF6i6rz9cLfKaemMvY/BOKz2eqq7SfRBjYYht5GVK/wS6/qXQUQo6xKPMESgrOqyoTCaCq6/xLimnxg6ZWpOpGiYBh+dBeuZa1GFsaTVqs6T+JTuxiaqLmKq7lYHsNl4Xjl+priw7l/jEseXaMbVvlfxZk68F2XAD/HtMVTOKHiCD7wmD68gLni1G5B3wvgPr162Pr1q1KBC3dpAbHJ454BTxcSU5xEe0yRhiuuCnH2PzGG9GoERlguP7adQm0+c3TLjUWNRNC1fxrLh8XO0av36R0dq78PNS6Y5jQiQVgsy8Asq/0OriWGFvrEEQzNKMdFZBNDTPsDjTq+7Cuo/C/2S7qdpHVlvJK7ZUwOqs/92wftsD3I8fatByptfy/DbJFGfnd77+Cm4b2M7ii/EG3BrY5sOZMtvYeeSBG/rUrIwQHkK/+dirIJmWEyDKdy6Cb14nmztjUxZYAaAqiGZDmr0u8CDNZ8EK16lh79hze2XeYluzh21RwzsE2B9zi3G89A9slDGRTgC2D7QYVyuDB21ph6PT3FZdass0rgG0GQijgZst6oCSCbLKNLDsddkyZ/AIeHTuWnvtAIJuXqVId+wXHfbJM5MRWoX58s1s6oXPfwbipQhQqRv83S7Vcjoy87isTkdK3p9bnCcy1xmRrwT05+QRoJ4UFC3n4MnuqSYPU/yQ6kBjxFboI2Ob9lS76lcC2aCymA9cMwJIcaA388nxoPVj2ljIJYFmqa61dl6YAn6kcjzIIIA4YKdJ3j4F8PDB7zSfR5Ozn9VvQ9oba6kCq32+oj2TZOdcGd2VgVik6HEey86grfNkHxiG8cYu/52K7zhvpOzpXj0f9MhH0tcQDCM9WLbOG/x4XF5WEJFdB/klS7zpQjMDuH7beL2bQoRYOsnnMEijICK/UEEVZpwUWXqB5fQZgWwo4tL9XBbsq+BVBrga29Wa7/jGlvL84iapIuS62fj1/j/9y4NhU9x3Ca1Lm9PFbqqJFpZiL+i3/N3K2Q5EY5rgGn60uSSBbNA+Wc7UDRc/G6wPyd6K6oZTtYqvHgPbFfO9Fbb9gVxFwaOIimu8yByT8D8pmd8Bqu35rxl+3QBvsgiVMzk0VY9gzv3SpOB9x3PHNh6jQvBPNbxRrFGodGzexuDyQrQH3a0xVX2aTCRsFZOdlnMSWz2ejcovOirGUzmBNBewXuvT9Rlb1DzYNeBvmKQU4rfwznTYT2qTGISmc5Gn9fxMN0ga8MQU9Xn6Sln3j51IXrUrAWlunsdraPNC160MynDgFl07WJkrduKRckeiJahJxQExhtzno9klAm0wWL/BIxUqw+YDX9xxUwbZPBOlsUtZ5qMusCLQJQPZbT5eV/TWwrczb1amMVrUr44WPljFGmwFr3TKvCUwmmcVmoEhX6qh+nVpoWL8e3nv3HQNGWwbeCputTBRcE4ZbKInHwXaIzYK+rRuifPT/NpOtb4TZrPXC06g6bjQ1xFJBNWWxTYYTkR6Xpzm+GvMmMnEXKulTKSkBh9POiNG+AdUkSsm9xgZjIjBWGXAGvNmyZioWwIRMBdgMLPPP0LmGqwBaZNN1THUxHTzg28XjE+Tiaqcvg23JqV3o2f/adQBNa1XxWy+yKEowqlMWsEERPliiysnNZqTERSNh5ASE1m/y91xk/5JGzlXnGgm4pUqsOtARSEouSZgNslb1ID2m7s3UCfzKj1EG2dq9Z9xi6raDMybFb73eyVs8cCneEOIONf7j8aPOfExkt0tItRehLKOemRaBuhgDGnv9XHmMqHH48r+oYDum3F4LTSv8bxifXcq9UDk2FBWig6+GKFkiowJ+noGcPND+fpD0AgfpKyVu1pbl66ts2bI4efIkrrQR9/Jr3XyX+CtJKVLqShPsjiBYrkO5+L8GaPPWtFwU+tRPgt2i5DN6DEYWOchO378NuWdO0BI/fARQHNGURw+vnMkWO9LctP3YNGskzmxeiX+6kUuYBvcAti2djxXPDkJUSqomDdeDbCHn8WLahXLcJama+IQX3y99HhAdbEOHqgmICf7vl/C63Nbh0WF48Jt3EBQRxropkb3WM9l6ttuf/daaFgxbWHjNgbQ6iKIGaTqQzZhuZa7cnweLCzE+4xB+ycuCVwXOIthWln0eH/omJSPUbMHb+4/ogLU4MdAszgWwra33SvtIYNvjwfOffId3V/yBnYfT8O0fmzRgzaXjrA4wyS1VmG1RSqsxkIorM5fcKiBmzEOj8NOPP2Ln9m0CmBbqtEpzud48AdyqjNxsovcCSZ+JCbn6I/T/lVb+nrtQ7/UZsIaHBQTYfNp2Ngv1ysTKTLeYF0xaKakycVHhyMghclbWJFMvBlylPGeN1d6yfRfadO2Dz7/8WpKVG4NoDp4F1lkA0hoo9wfNRo7gKsPtB/49ePalGbjp9j5Yv3Gzen0bysX95qKbrf9Ag8vtRpDdJj9kxSaAbX2qkgqyiUyc/VaOcpUw9+sfEFalxrW7mP7lrXmFGAxslAKHxSzVZ5YYYfE5rVOdacGQtr6kIBfZe9de2YGpdLcScxSeOYgDHz2GrF2/BHxLwemDSP9zyUXSfvxS1EEPXTwilXM1KAW784v5WDX5fmQc3CEBcsPP4MyyeNp0g9HS0/gK+Bj9GF7VuFC81rMOqv2PGWJeSiNKSFKVgzxHr6hJBsGBs6cDPTb07LeeE9m1fRvuvK0DvvlCd60LTXdpSxuMVqvPtitoz01+Ca063o71GzbhWjWfCrMv4eagRojaH04GYB3OIKr4vN7bvwJok1YlNhRDm1WgAaiaxyLlySgXZMaBHahNJePyKKAKsvlIoRojCI+iiwDZksulrhWeTaNlu3JP7Dd859/ahKE4woDagkIQXqa85voppcGJJmql52UbjrKJDznxQaMf0DBguvl6Uhfx1qrxCLZd/zfNP91qd7oZj6/7Egk0D1IWgfuz3D5DhlsLBPiS/KNHwIpsmqctgGxhYEodxBJYb01KDpx0u2CFiQJur8engG06kWUBcDNAPTC5LFwlHnx88JgEtvmkgnWV2VaWVUBuxHgLgFwB2x7YLWZ4vV483K0V5i9bhYPHT6o52mKetsZyazJyP9CtviZ1gj20TMycWa/hiccfR35eriAZ95eScxBuFXK1FXbbhOQIJ5qVi4bz/++FC7aYls3R8P23EVyhHMyWAEDbZEaOqxjRIU4/gO2fr82ZCUETS74nIgwZWQxoS0ytAdikDksaW33w8BE47HZs2b5DAL8BAHKgEloX3F9m0iWGW++UzuYOm5XeC+Takz9XlsHLzuEGk/r3A0UuF/1cwyeGGnUGmOg+nMVWfrfghi2Q+MBTCEtMuqQ+8n+xERA2okVFxAbbBRWS9njWnsXCCjqXh2h5I27yBacPXcIRyGoRv1DCBBRnnYbJYkNh+iEDNZbSzFYHPG6XtE4eohfWC/Ebjy0k0sRPvq0HzAroJsdE/AaIvZj/vppkW4ojdRJx9Vj0t8eVNnaLtasah1e61/n/wdeLaIT1r1cmAk6b+erIxQNIPY3Y7IttR48cht3hoIA7cCv9AroWqMJutynPhWsKYE26WPVimtZLkdJ/dmcwBdv/hmbyXa/65wCt0O3Bh38dw47TubpyX16k798BR3QCHOEx6qgklwDpa2aLDDdpquSIvgj8/SJIN7pOCs8ehzMmicrW1SY+cHg+Gl8vFbWXtScXqqNtxEZLpmj0gL3Y+fW7qNP1Pkkybr4Qsy1+nwASqBRdlKXzvFOWb2qWllkeKjV/UvJS/QGHCU1SolC3TPjVuDz+p1pBdg7e7jsKu1b8esnvDXD5qm0XchEKCyogmP6+NiZpVuagywQU2oRlKoVWwSNw1utGss0BOwOQpD42uQYtVrZMJhubk2vTYsL0w4fQPC4GbZLitX3oZKL7mG0WgxraWm1tuo7uY5XqbdNt9LUVPrOZehWkZeVh+OwFWDLpITiDgmEidXotNsBqg4lNsNmVdeR+JioZszAnEn6zFT6yzczXWfHrH2vx7gcf4s233qbjtsQsjkrp2ZwPRijLspEcSZlI+n9vgktuJbm52D95InK3bITVYYHFziaHDaddLszdshcvd24Js8MKi91GJzOdW2G2W6npILleTOT3tpHf3q5cB+S11Yalv21CQXEJBt3eHqDXiXIdKHNyHVgU9zU2p+7idFIsCvcePobKFcrBSq4pJbFcjd6IC73fnShqbA3vXiNKgzmhqxI7FXHIgJg++L2qQzjpi8XBArpNfW3AaAslvainAR+E8niw6+BRfPD1T5gyvJ82YEV9Dzx+xoNEOUL9E5jBoUc0NfR4EHpTV4Q173DpF8P/eCMx0nvrjtIYqcTjZb4ZXhR7fHCXeGkdbuKjUeJV5j4mnxbnZCo8dwoZW1eiTMu+wgA52SYCWhHYBjggYQyFNFdWGpxRSdRvQc1pFbwSPAXnUZB+CBGVG7ABF+VDNG8nzVRNG59hcQsrKiznj+v2Y2o/HtuoQIpUz6Axkn8cpc/B1bOYF8NeGyv/9OpA/2XyPfc2K4/eDcte/kXxP9rIdb/vbB6yi9ylMsG8iZJuPYhWh4XE60O4lvg+ckzvv7947Rw5eADlK1akTtnKpSvE18J7+TriMi9tM1jXq2dPLFm8WJBaa/238nxgtbSF54F+mfTTJF3x6owUCU0dkdDuHvoN4kCrvsNQU46UdRZHEKy0BOC/p/07hgOEFmSzYMiNFXBzaqycI+P1YfPiebDYnNKII9S5jpW7Wgek+6DgeMKs6PIFdNfz39nStqyBxeb4B0d+tAexyGaTOQFtHarG/z/IvswWHBmBkd++h3aP3K9e1X6yNd0rvo53ZzrBndpIQSm3bqufNI7LxyVWWwGPJLszwWKnO6rpHiSoE1ltymxr7DYJ7h6qWBFLjqfh6Pl8idEmEnMaCKqScs5SK3V7ea62wmAz+bi4jzARcSUJ/pOjwzGyaxs8Pn+Bf462yG57BXM0wc3ZyOWZvL6peTPUr1sH8+bM1hht1VlcM0XT5spABmGk/h9kX16zhoWh+uSpKNOrtx+jvfLoKXRITVHyf6kkmQBijc3W3Mp1Tq2Ca5eruIQaoik3g+8iJxbcwIfqlcrDRn78UthnvTy8NKZbzOn2y9H2Owb/7+HrqLpSz2TrQbb4Wj0uPZOvnJqs83mIjRBlrZpMXDvXRooCYWDXGYToXg/8P8i+ghhpeIuKaFslVn3uakxs4BxufbOFxaBMyz4X/8X6JFSj8SOTCUExKSrINtLdeooLYQ2JNP4OSVAo/g1CzOc3ACDnbCtQQ+fxQy5pE0lN1MnKpVxtA7B8kSD7cluI3YKJXWr+P8i+zGa1mKmMPCmcGeuaLk8uHghkX4lKm9wLlVKrwHqV84uvVDpOGgXZ17D5DJYu3EywBoX+60D2vxJog40g9aibhLsbl6PBC3mInD24E7GpdWENCtEAnf5hosYGV7lHvMiPuyYYW6/NEp9xJuD8ySNIvVksDXUZTf9w021UQTTfR3z46UE22xwVZMMdtcugXOT/O4tfSSP5Kb2nP43BH8yAIzSU/fbaLyTa22nVTY0gtrjOByvMRDhueA2ocjzVCI2X/hLnwrKulAoFzQx0iyCazG0+E56oWgUv7dpLGUQJlPP9KaPmLy3X1ivgmpui0dd8PWXXlGUCrG9tUA1hTgcWrVwrsG8G5mhcXs5KK4mO5LJZWgld/9CDD2Dz5s34/bdfBak4z9nmzuPKPMhqQWpcKMKd169r5r+hkeA95f4HUP7hcbCEBKtA+4+0s7ipQhID2YIjuQS2FfCtSYMU9Q+PqFzuYtipq6nRA0WM8DVQqwe6soO3gZxbJwU3BOCBPrsUObk/CJfZaWV7ICabmZwI71dz08k9K4B6spyZk4uocMG8T+1+ZJm4XrLPfxtrbBlE9R8DR+Va/8AV9N9ppF/pVS8Z9zQpR71tZJmzZiom/Z66Z0Lm9tU4t+s3YU3gICYQxpbxtkb7SdkZOsaYOJ0XnjpwYVCkJ+NUlq4UsM3jEHZ5+wPrCy3LA8uirPxCTYzL5GWRMtWWy0cF49WeddG4fNSFP/z/W+DzbjJRgzSSfsoED8bTBeTiF8KvlwtvA+mWrl27hG+7RgdmuqCmUrc/SX8NCYeFKML+he1fCbR5a1YhGs91rI5q8aEIL1sZtbrd658/o5Pi/NeaXD9bkISbgKLsDFRo3hGO4CtzLZbcPnVzGDiQ03DNyIFc+TA0So5An7rJiAr6f9Ozq9WaDeqJCduWo9rNNwojsTIo4JW09U2D2CbdOh2jrWOzeaDCAbUahKjlv2TgrdYMFeSJRlOc1Y7+KWUxb+8hf0DOX6v7a7na4nqSY8RBuZjPrTLdzIWcgOcJ/Triox//wNGT6WwdN09TlpVJX6+YgRSR4fZpDuVmePH6qzMwdepLSDtxXEipYA7jDHRHB9tRPiYEDuv/exNcrRbd5hZUmToHIbXq4UR+ISKcdjgdNpqawBltldVmLLfCcPP1ZlnebTIhJ68Q4SH+JdYMS335AVxjZjkwOObyvkBgWtwu7OM1+i4jlv0SjkMaGCD3vH5gQOb1zmZlIzaSpQGpxjwBlALsfNNzbrHC2ehmRNw5GtbohKt2Lfyvt+YVYzCpS01UJ2VSRYMvHautjRVxp2wfCs8chTO6rA6kX0bTXQKBduLbi7PTYY+ILcV+qpQmytgNwbZYd1vvQH4xy0KZLzbQ5Gf+Wuq5EGTFwrJZWCbPhzsbJOP13vWQEvX/ZR2vVosLdaB+UiTCg6wBlRemKwTB6m96mcd4FchoypAHdA33V25f6IiuzkEZtIvtS4hUnIDsf4Pp2X8SaPObZ1zbVNTDSThtilGaJJEyeKD815qad8SXWTxzaM03yEs/cdW+hzuF+wEwaWCDSYolmZXyjuggG+6sl4Tm5aOv3BHy/5tfi62YgtE/f4q+cybBQUEBP8fk7HMplDySaNzvmuCCFw6IZcRkNltktDnIJvW1RSMZFWQLdbdlUB0YdDeNjEJ+SQm2ZGbpWG0NYEvMNl02WK9KywVTNWaMxiebyYeZQ3vi4dmfwFOs1Nem4NorSMjV+toyi+3PaGtlwMJCgjD7tZl4cMQIuIoKJbk4MWVLCA9CVIjjqki9/r/JzR6fiHKPTYKnRQfc1bh2KQCb+VYIAJuy2wxkc6B4JisHiTGB5Kz60UcZ8KoluwzZbQMwLbHKpQBhlUG/sES8VGY9EHguDWSTe8pvcMCHk2fPITkuWpLd683m9OssUQkIvW0IghrfquS8/3+7qi0+1IGnO1TDfc0qwMHYbVF2LQ2aq9c0EFwmFUHxFQQ2W0Sxl9Y4aDbs6SSwY0Jco44ILX95igZ1sMAIbKu3lQay6aAsA9OeSwXcOkn5xdDaCpgODLbLRwVh+h11cHdTlmry/+2qNmIwWishHJWiQ+izWP8voFz8Uh/Rl7H/1YoCYmNjkZGZabhNSxq8xOGAqxyj+C7iuxUWOwJWYnr2L4+R/hN3MsknGH9fH0zrWhs1E8Nk0KeXNV+gXfDnvEZInQNYo/qWYpPURTrTBPnoTTizbzPiq9X3kytd/vGVtpUvCiCcy7VMQNOUKAxsmILEsH9ffsW/qZEOqc2IuzBh+wrGbtO1OsBt1GT2WwHa2r4yuNaMBNUcbT9nV32dbX1OHGOdDUA2l4k/WKki3jhwGEXuEv/9JHbbH1AbS8w1cM3BNjdqqhgfhe431sX0z79nAFqQiwvstgbCNfdxrewXA9lC3nbliuXx0MgHMXbMGMoukvGlYIcNMWFBsP8/i33N74UOI8agy8y34axSUzE6EgC3CLZZEW5maObviJ1+LhsJEtA2ZollVllmt/335/JwuSyYf551oEkvDzdyC/fPpzaprugGf4PXIBebg2zhPVINbfU1cDIjC0lxTOoqstfs9xBl40Tqb6vZAkGd7oclNvnaXgz/442c8041EzCrVz3UTQoXQPb/sXcdcFIT//dt373ej967gBQVQbGLDRX7H3vH3ntXLNg7dkRsIIIVERWkC9J7h4Pjei/b2/8zM5lkkt07Djx/UuZpSDabze7tZjLz5r3v96tNkqjOa5Kg0eeB1ZlI24eRW+/VEMjoETfapHUEg4kEhXO+goUkI2xsvCKq1HyX8kc1SLbFlwuqtujIi802Lmyr1WtinZLaGDM2T0r870VPtsnk64X9WuH18/uia/Y/cyBKNA7yfbdIceLwVqlIdVpj7eON2MXF+Gy+R/98/O2moXnIZHZ2NspKS2PPbczq1qTP8+8QXFNTVOykNFrF6WDAQUG0OXKSHXjy9B40WZrTug9/mnIhxrM48ZvyvwExtEjY0wh4Y2/8cj3yygdYIXc1C+f/ZlZIHINlJdpx5YC2OK5TJs08LfHfqNuiNXzPAwGmaNuF24P4GpVw8/ravASYYB3X6m9r6rZaAoxnt42rVGsLqa09olVLfLNzdxwizoi6mCVXp2arhJw/ZiXB9ESck22WPfmKk47C6m35WLNtJ32eEWshYzKxhytx3pqazV6rFGhVSHZER7xPO+UkdOvaBd9MmogklwMJDvsBP0N7IMGemYuca+9H2lmXwux0KhnuyWJRt7myze6R4jb7nSpr65GezAfAPJSGkVLaL3CCykmq2FoUIqMj06IarSjglCg3ahmPE8dN0g7G2M3Fc+sJsXZ+8TUNWMV1n9WwxIsjikaxs6gUuWlpjah7CrlKyYLjxMtg73u8VLH/hyAE44VzDsNtx3WGg5SHaMA2XrXxLwSqy5pXVxAt5LqSSNpIJuStQ6C2vNHTiCVWNUt4E8i2YPPmLza+nr9Gc0aKpJy9d6Nk2/A+DVnK2VfA/u526S6MOac3LldyDkn879RtkiiNxG/ToanAQ2Mt5Mp/urwCxuzisa6NOLn+mhdxwjlatmyJwqIi/sH3Efze8O9xHlNDKnZSGk16djCNkQ66Vk1+nNN75dIkEv1ap+7LCdQbYNwroanS+F5CVN73+BGFyYCGLsWqXZtRuWODcnxsOYp/G0QkOqZjBq49qh1apkgV+79Wtw8bNlTbbzhOJOEchGg7Feu4ehxXscXyeI2o3fFIuRjfpiZGMxBsOthRbOUnZmZiSUUVrYMcQ6iV17JyQ3oSre6LGJKlqdtCxnKlRBEhzS9ffx4e/mgyggG/lm3cUJZIi9WO6FRsUxySzeO4H7j/flxxxRX/cm1KicbaQuIRJyDr2kdg79CDkmuVcKuWcmVtULPVCVg+UaiLlVGuP1ENboSMNki2Ywh3E5amEmx+3rgkuzFVXphI0FhJg2r2lvxCdGyVAwuR5xqCxQJrlyPgPGEkLOkt5AX7H7WFc/q2xCeXDcQR7dLj2sYJ0U4/7LjmfV9hK141HwJ/dSkyeml9VVwo/UtDZLkxsq2b+4rzevaSf0i2jZPZDUw6kSR15x/eCi+d25smw5T479TtvoK6zfbHUbMbJdnigf+mFhwP+qTP7dq1w65du/SHNJ4goYGz7lnM21eY4tAoizMRtuSMg0bFPqiJNkdushNPn9kTz5zZE12yE/filepdWL9PWDUn9LOse+Nvb7wJlG9bC7Niv/q3INrceadC2nO/Vqm4/ZhOOKlLNqwHSEH5g13dvmPG57jjt8/RbmAfuk+87Wq6hgY/wnCwQlj6wUcTF71lXFC1aby2Etu2h6RojHQDl7dri/FEZTZax1XSbVS1lQzl4nl06jYn6VqGclByHkZuahIuP2kQXp74CyMcqoKtkG1aL5hv8xJfCjmJk4mc1Ge2J6fB7nTBbpfJ//5rWNIykXreKCSffT0s2W0067jOPq4kQlNnMnmsNke0AcLZBMu3QrYbspLHEuDGzxVL6pXPJ+yLtabHeY8Y1Zp9JuPfqB1r/Gaj+P7Pv3D+CUfrPgYFNQmYYWndHY7jR8LWc7BUsfcDtEx14ZUL+uLVC/uiW26SSjbDoRA6X/AQLM4EnfVaoa97PRwyKtd6F7l+FGO22ZF+2B6ItoK4/LURsq0nvw2Tbf76f65sa+KJqAyS+boTumThzfP7YuTAtlLF3m/U7RT0yElGokObDBejt9V9cUWrOOPxONd9vEV36B7QWGgp39++fXvs2rVTOHMjhnaxXxPqVhtv4c2HqLpm7xKF2e6iyQ8PNhVbxEHPgvq3ScMb5/fFw6d2Q+vUJiirYify77gm/ifnj4SCSGvTqflPHGfMxZeeOUm4dUgnnNenJdJcB9+s1IGOXqcOxcNLfsT1k95BTteOwuXHjTyaXYMkMDNzCi7O0ouDjQbWOhu5SLYFq7mOwKsqdnxVe0BqKvLcbkHV1pKoaSWG4iREE+tsU9VReI0uWZpS9kshxxcd2x9rd+zGJmpZ53Hc3CIeh3ir8doC4bY5YUvPhTUpndqhJPYv2Np0ReLZo+A47kKYU7KU8l5KAjQ1KVoDnT5vCEbF2qgqG4+JIcDxYqjjEOCmMI0Yks320cFMAwp3gyRbeayFShnVbP4l6LFwzSYM7dczZr85qx3sR4+Arc/xMLvEGtsS+wOO7JCBj688As+c0xtt013I//0TuIu3aUSUr3SXVkMTLkabeMPheEaQc+6c9m6zDbaNZFs3KdYEso14ZBtNINs627h+/xHt0vDKiD64ZWgnZCU5muXvlGg+pLpsNFla58xEOJUcKnsjBsdazg0bcdamZuQL5Dpr36ED8vJ20rrwcT9UzGcSffPC+t/gvFGtrzLZHLClZsGWlHrQj5EOiRSf5MZ9XJcsHNMpE79uKMHnf+9ChSdO+nvxxvw/AG88/8YkTschZ8Ke2Px2JI2SsS3yL4lxOaNnLq37KLH/t4UjLh6O/uefjgWfTMK0p99ETRFPnKFdiOS2R5K/8OyQ6gDDZGqyok2VNKHcBVW1wUpcqbVH+Xgtnppt0kj1iJYt8d2uQlzdtQN73iy+hpBl0jGICjYh0SZEzXxthok8Z1KOjZjomiwmQrbNzOIdDZP4XDPGXHsu7nx/MqaOvlMhXmYgYqbkWs1KzQMO1XATE6LOJFjTWsLkkG1hfwe5Nm3tesHapgdCO9citHkpEPbrlW11son3DeSaFgfsioVbuZFrz5MLl7yCnIe+G3uN6plj90/eOtRssOQ9xY4hGs9kx6ER6n+NZMdTs+N8nlCITM0BNquVtkf6F6fmwNqpH8yp2c31k0n8i23h5F65OK57Fp4OnoPloXYoq/UbSKbWBpoy6NeRbF0StPjwlefDld0ezQnWHpVM66J4p/RltKnSz0g2TLS50ec4A6JtVmiT6kmUbRMh2yamWCnn0P2N9LAoeuWm4PIj26J7jpxo2t9BrpfMRActvVnuDqCwxotgpCl5suMT5/hK9t6XAVMNQnEuMxEulwter1d498Zmw5Qzx/Q7ovjSvDBZ7bAkpFD3yqGCg17RFkFKSp11WAuMv3wgrju6PZIEiwjH/4hj/+tY+OET+/hKQ6ySKGBwVUPZJLHXJAb7piEdJck+wECS5B036jKM3joHI154AAm09q1gb4MJ4TitoSkkW3ftiGtOwtUaprw8SvxSX6L0PTgjA39XVCJIrdzs+BgVXFCz2baobvPYbP0+LVs5V62ZIt0mMw0n9u2GCb/O07KTC0nQYvZZnTDndoI1t7Mk2QcYyESKrWNfOE+5AtbuRwN2h2H2kytgIrGNY+lRn49DUI3E1XAek3GfbruBRTzXnki28TV8EeOxRZKt+xvUP6rB73Dd9l3o3akd+z5JSZbex8Pe/1RJsg8w2CwWPHvHFZh6+7G49eQuSHZa9ZcdxR7UrngJbpogkNkS09BiyAX/4NMb4rH5Xl27FIT4Jirb+2Ij5+/TPiMBjw7rTmuZS5J94BFuUj64T8tUtEl1KeXA6DPK83His/+HaIyrkFwwfPJTB8qnRQVb/Uc7wHB8Q0/tLUwWK6zJGVTFPpRI9iGjaMeLx/i/gW1xTp+W+GNTKX5cU4Tt5R4cbNgXCxabwCWdhTCjS9LomKIwk5lbE9C7RQqGdspAt+yDN6biUIE9wYXTH7oFJ9x6JRZ/8R3mjP0ChWs3IRVWVCGIlqw6u+41KpGmw/kG1qZ45JvNxOoeK4nRTGZCgJnyoF/YwJ8Q/2OyMrGwrBIntMzRSLZIts2EJJtUMk0VRvrYzB4TZZuJ2TCbzIjS61w5lh7H7eFE5Tbj5rOOxYhnPsTwIf2RmZFG9xGlkyZOo2szzEkZMGe2BRLTZVs4wGGy2GDr3B/W9r0RKd6OcNEWRD216vMkyz25btQZf4O4FQNB6VZH8MZtrpjx43XnNjyvnlN9ELu/IZIdj/jrbOvsfHq7uJ6kN+b08vgC6D9wIKyHHUeVbNkvHPhjpKuHdsJFR7XDL6sKMXnxLmwprqPPsSuYqbm60b4Yk7oPw4LSJT+j1fEj9/1DK+ox1x51U2WGi5e6j0xNU7ZZk2XH6VW/+Mq22RTFUe3TcWavFji8dapsCwc4zGaWMI2Q7kpPAOX1fvjDEX1yv3/OQ5sM5apkt+gGJrA6d+6Mbdu2oUe3bvFPsk9itcgJ9uJVNifN90Cs4odqv2CK/ls1qw4wrC6owQ+rCzF3azlCJGuTDsIsZUNQQxsauZDU3Dr6Y7SwCH1txdhtRnRJwzcr23w/L/fFnay7Fv+BDkefqtsvwmw4b7yQDHF/qtOGYzpl4NiOmUhPOLRmow41bJn3N7596R1M+eVnHBFJYbmMyHVH18o1SGZNlfqfTV1bTSaQijKkzJu4baEZoJW1zQyLzQyzNXapCgfx1rbteLZ/b8NzJpitFrZNskjTbbbQEk5krT6vbNus7BiyVl9jhclqVdew2vD3lnx8OXsp3r7rKpbAyWqDyZUIc4susOR2hMnu+q9/Lol/EZHqUoSLt+LBZ8bg6rNPRo8ObbVSYCSuzGzR1+LWlQkz6fYziOlsxazmbM0IjBgvF5fBxx/sNEay6fNC6TBFyeY2b/W8ynniWcu1uFxhsdhgymoLZLaFNUHaYg9mLM+rxDeLd2HmumI6RhJVYAohJlsEu4y1Si6s1Kh+OxoKYNvk59Htsqe11/Bxi7gdc25jLW7tTfc0pte9Vvx82gfVnmvCGC09wYbTe+TSqjeElEkcvKj3h2j4aa03qO4zhkSrirdQ9UcsBaZ/3NBxDb+eSiDK9Wo2HPPlF1/A6XTioguIQ0R0LcHgouIhTg24o9TQKAP2RBtNZpidCbA4EukY7FDHIalox0Pf1ql0qXQH8Mu6Yvy0pgildX4cqLCSjKHNgC5ZiTi+cxYGtEmj1nuJgx9dhx6Fh4dOwKWbtmDdtzMw/4OvULO7UDugIQWvCYhRthXVmqoIfEBPlWro1epoFBl2O3zhMOoDIaRYbMKAnyl/3MpHlQjltVQpVzoVpnqLFnOmdFNFQ9lHSnwxOzjZZ8ZR3drjsz8WYen6bTjymGNgbdsL5ux2jFxJHPQwp+XQ5bn3J2DT4jkAyRwf8hliNYU2wVUwUTXgMd26fYKyLezXwuMMqrmImDEOO4+WK1Y4Rl03YGOPeU0ckh0HJuLkIO2A5COQbeGQwIAOGXSpqPfjuyX5mLIkH0XVPnZ9UzSlU9BYMSfZ5KGvqhCpnQc046dlrjxBZI89gk5M7Z2yTfsoQc0mhKd3yxQM792SljO1yjrYhwSSHFa6BFMiqPIEqNIdIvEDCkS1+9+SutVhmDIEEp/o3acPpk6ZgosuvEB7Mq4avWdpW4xO1/UxDcRfm52JMNudh6x6HQ9S0W4A4UgUf+2owJ+byrA4rwL1fpJV+MBRtOe+fi9OuOe1fVK0c5Ic1PI0pGMGWqdKxe5QRyQcxpqfZ2L5pJ+w6dc58NfU0etnbxVti6JiWwzKNqm7SyZxqKJNVGdV0TZRtZk/Jkr3jyUlSHHYcGrrFntQtM2xijatm8zWoqKtPqeq2mwNi5XGmHrTWqM6IQedevf7r38Kif8YdAKnqgiRykJE68pYVj+1/jZRrllpMKaWCaXCxMKsgoId+ziOsh0zUos2TLLjqtnGmOyIviSZ+jqBkAt2cr4/anfBnJoDc0ZrmGT28EMeZIw0d2MpZqwuwvzNZXD7Q3G/E1HRVlVknZoMhL1uZi9VJm3+saKtNhvFRm5qPmWbbLdOc2FIp0yc1iMHHTL3pnysxMHaL9T5Q6jxBlHvDwpahKA0N7OizZ2G8Y4LBgO44vLL8c03k7RknYYJ1PjJMulfE4eQx+tnFJgtlFibHQkHZQ3s5oBUtBsAGfgf2zmLLqFwBKsKarBwWwUWbq9AUQ1RNA4ekMZJlOvDW6VSgk2SnElIcBC79eHnDqNLOBjEtrl/Y/20mdj480zU5OXv1RcVN2bbEI+tJTgDVaB5PW3ymCRF+ygvD6e2atGAoq1YnZSnuLqtrhUFm5X7Mmvx2WZF1Y5GYc1sDWu7nrC27Q5zSibIVFOGvBwk+AAnoxXMGa3YNVRfiWhtKaK15UDQr2UJNyRT05RrQQkXlWs0omw3NsMbj2THa3Ti87okaw2RbGVfQhqdbDKlZMPkbP4qFhIH9hjpxF65dAmGI9RaToj3nA2lKKjiWY8FqPNIepJNCELetLfR4Zw7YHU2I2kV46kbO6wJyjaZKzusRTKGdM7EkI6ZaJchq0pICJe2yYQUp40u5HpyB8LUXu72B2nG8n8LDZ3ZZrMjEAgot3HR2aH1RVr+gT2djZ1DfJ4q13YHU66Ju1CiUUhFex+wvdyNhdvKsWBbBTYW17HL73+paHM1W5lhNcdRtL2VpUjMzNWUajVjIoPLZqaWp36t03B4qxQkO2Vjkdh7FK/dhE3TZmLztJkoWroaFkR1CjZVvuPEc4tx2mTApsZqqwq1EIMtKNpkffeqNXjzyH6w2LhybVgUddpEz0fUar2iTffT1yqqtssFR8eesHfsBVv7njC7pEIhsfeI+uoRrS1DpK4CJn+9UCLMoFrvtbK9lyTbqEiLsdlCpvGYmGv6GczUFm4itcUJubbKfBwSe4+tJXWUcM/ZWIJ1BUpCQT5OMSrIJmDT54+hx5XPKq/WrK6aKN2Ioq0+0K0M+w1jLuOGEC/OPxcZI5Ea46Qs7NEdM5Amc9NI7AP8IU66Q3RbHas3g6Ld4HEA7rrzDtx7771o366doF7r47VNDYYKiYkOmT5P1GpKrklSs4O87nVzQxLtf4hqTwAbiuuwubQOm0vqsbmsHuX1gX+VaGvkWiPeRqK96dev0fHYM+FKTqN5eFqlutAxIxEdMxPQMSOBlp2wyXgiiWaEu6wChUtXo2TlWpStXEcXT2EJJdbmeInRzEJCNGUxkmY1MZqQII0kRLugfWt0TE2KS7RNgkXcpBJtxUpus8Ge2xqONh1gb90BtpbtYctty5KfSUg0E0hyJ3jrEPXXUwIOsoSD+06246BpJFsk2vptSrTtLmoDNzmTYXKlAGRbxlxLNCOq3AGs3V2NjYW12FBUi01FdSit9+uIdtWGhcjoNSSWZO+BaCuniP+6mAP1D8SXkX6pfWYCurdIRvfcZLrulpMMu1Xm4pBoPoQjEfiCEQRCYZq5nKxp1ZV/gWh//fVXsJjN+L9LLtkz0Tb0GYRIk+SvZgtLDEtUaxlzve+QRPtfAEmotrm0HptKCAGvx7ayepTV+8kl/o+JNsswqG1TciIQbYfVjBYpDtSsW4AThx6DAd07oF26Cw6rnIGS+N/DXVqOshVrUbpyLSpWrkPV2k3wFZfAEonoM5DriLaytlniZiD/s6Ic3mgE57ZvbYjT1og2jcN2uGBv0RKuDl3gbN8Z9radYG/Zls7KSkj8J+SbqN5k8buBgEch3wSGmGyVjIv74520EZJNV7yEFwkUc8DkSAScScwGTtZSmZD4D0ASqm0sqsWGwlqs3FaI1WvXI5zZGbTgi5Es74Fox1WkGwEZI5EY6+4tU9BDIdZdcpJoSTMJif+CfAdCyhIO01DVCA1n+GdEe9eunXj1lVfw9ltvNUq0SalSKkwo5Jouewi3kNg7SKL9PwJpONWeIMrdflS6g6hwB1Dh9tMSAYSYV3qC8IdYA2MLix3illpKSMxmJDksyEywIyORLXQ7wY60BBsyEmxIsEtlTmL/Bolt9ZVVwFtcCl9pOfwlZQiUkqUc/vJyBCsrEA0SV0gUZhOZnoqwBIB2KywOG6rDQfy6cxeuOXYwHNlZsGdmwZaVCXt6BmwZmbCmZdDFkiAt4BL7N6iqTMh2KEjX0XBA2Q4hGmFrHYHm21qWKGVkxQZJpNwWXUgZOoudrmkJLvKchMR+DDLuIep3WZ0fFfUBSsaJQEHWxCVIxkm+UJgmYSMLyfJM2g91Q5HJWjJOsrAxUlaSA5lJDmQl2bV1ogNZyQ6aLVpCYn9GlPMAcq0r2yRXTUSorsInU8VcByLRJs+/9OKLeOThhzUiTg0aLFkncS5JQv2/gSTaEhISEhISEhISEhISEhLNCBmAIiEhISEhISEhISEhISHRjJBEW0JCQkJCQkJCQkJCQkKiGSGJtoSEhISEhISEhISEhIREM0ISbQkJCQkJCQkJCQkJCQmJZoQk2hISEhISEhISEhISEhISzQhJtCUkJCQkJCQkJCQkJCQkmhGSaEtISEhISEhISEhISEhINCMk0ZaQkJCQkJCQkJCQkJCQaEZIoi0hISEhISEhISEhISEh0YyQRFtCQkJCQkJCQkJCQkJCohkhibaEhISEhISEhISEhISERDNCEm0JCQkJCQkJCQkJCQkJiWaEJNoSEhISEhISEhISEhISEs0ISbQlJCQkJCQkJCQkJCQkJJoRkmhLSEhISEhISEhISEhISDQjJNGWkJCQkJCQkJCQkJCQkGhGSKItISEhISEhISEhISEhIdGMkERbQkJCQkJCQkJCQkJCQqIZIYm2hISEhISEhISEhISEhEQzQhJtCQkJCQkJCQkJCQkJCYlmhCTaEhISEhISEhISEhISEhLNCEm0JSQkJCQkJCQkJCQkJCSaEZJoS0hISEhISEhISEhISEg0IyTRlpCQkJCQkJCQkJCQkJBoRkiiLSEhISEhISEhISEhISHRjJBEW0JCQkJCQkJCQkJCQkKiGSGJtoSEhISEhISEhISEhIREM0ISbQkJCQkJCQkJCQkJCQmJZoQk2hISEhISEhISEhISEhISzQhJtPcC48ePh8lkwtKlS3X7582bh4svvhitW7eG3W5HamoqhgwZgvfeew9utzvmPMFgEC1atKDn+vbbbxt8v9LSUlx99dXIyspCQkICBg8ejJkzZ8Y99o8//qDPk+PI8eR15PUi8vLy6HvGWyZOnLg3X4XEIY4DvS1wrF27FhdddBGys7PhcDjQoUMH3HLLLXv9fUgcujjQ28JTTz3VYL8g+waJQ6ktEGzduhVXXHEF2rVrB5fLhc6dO+Oee+5BRUWFvBgkDqm2sHnzZlxwwQVIT0+nxw4aNAg//vijvAr2FlGJJuPTTz+Nkq9syZIl6r4nnniC7hsyZEj0k08+ic6ePTv6yy+/RB977LFoTk5O9K677oo5z9SpU+lryHL66afHfS+fzxft3bt3tE2bNtEvvvgi+ttvv0XPPffcqNVqpe8hgjwm+8nz5DhyfOvWrenryXk4duzYQd/z9ttvj/7111+6+NTK5gABAABJREFUpby8XF4JEodMWyCYNWtW1OVyRYcNGxb99ttv6WsnTJgQvfvuu+WVIHHItIX8/PyY/oAs5DjSPqqqquTVIHFItIXS0tJoZmZmtGPHjtHx48fTPuLVV1+NJiUlRfv16xcNh8PySpA4ZPhCRkZG9LDDDotOnDgx+vPPP0fPOuusqMlkouMliaZDEu1/0HC++eYb+vi6666LRiKRmONra2ujM2bMiNlPLla73R499dRTo2azmQ50jHj33XfpuRcuXKjuCwaD0V69ekWPOuoo3bFHHnkk3U+e51iwYAF9/dixY2OI9ssvv7w3f7aExEHXFtxud7Rly5b0/eN9XgmJQ6UtxAPpK8iA6vLLL2/ityAhceC3hY8++oju++OPP3Svf/755+n+5cuXy59Z4pBoC6NGjYo6nc7o7t271X2hUCjas2fPaNu2beWk015AEu1/0HDIDFB6ejodtDcVBQUFUYvFEr3gggvobBI53+jRo2OOO+WUU6Ldu3eP2c9v+PziJ2vy+IUXXog5tlu3brRxckiiLdFcONDbAlEryLHG2V4JiUOtLcTD448/LtuHxCHbL4gqJAEhIGT/+vXrm/x3SBzaONDbAvm8gwYNijnunnvuoecgrieJpkHGaO8jioqKaHznsGHDaOzC3sRthMNhXHvttTjllFPQvn17jBs3jkx46I4j5+7bt2/M6/m+devWqceJ+43H8udFjBkzhsaGkM997LHHypgLiUOuLcydO5euyfuTNkDaA4lDGjlyJAoLC5v8N0hIHOhtwYhIJEI/T5cuXXD88cfLH1jikGkLI0aMoLHZ9957L319fX097SvImOnss89Gz5499+IbkJA4cNtCIBCgeWuM4PtWr14tf94mQhLtfcSuXbvoumPHjk1+DWkcn376KU2CcNppp9HkBiQJwY4dO/Dnn3/qjiWJNzIyMmLOwffxxBx83dCxYgIP0kBuuOEGmnRh1qxZ+Pjjj2kjPvfcc+m2hMSh0hYKCgromiT6OOaYYzBjxgw6mPr9998pufB4PE3+WyQkDuS2YMRvv/2G/Px8XHfddfKHlTik2gJJTLVo0SKagKp3795ITk6m/QFJAjV58uQm/x0SEgd6W+jVqxcl02SyScT8+fN155LYMyTR/h9izpw5NKPlVVddBYvFQvddc801tAGRWSojyP6GYHyuoWPF/S1btsSHH35IsywTFe/SSy+ls7X9+/fHQw89hFAo9A/+OgmJA6ctENWO4JJLLsGLL76IE088EaNGjcInn3xCP9dXX30lf06JQ6ItGEHagNVqpYM6CYlDqS1UVVVR4aG2thZffvklHR+NHTuWkotzzjlHjpEkDpm2cNttt6GmpgZXXnkltm/fjpKSEjz++ONYuHAhfd5slvSxqZDf1D6C2IsIyOxSU0EGMATnnXceqqur6UJmUAnpnTJlCn3MkZmZGXfGqLKyUjcjRY4jaOjYeDNXImw2GyUb5PVbtmxp8t8iIXEgtwV+LJkpFsFnjpcvXy5/YIlDoi2IKC8vp6FEZ511Fi0pIyFxKLUFMum6cuVK6mwiQsTQoUNx8803U9JNnB5kLSFxKLSFk08+mSrqZLKJlLgj/cHUqVMxevRo+jxR2iWaBkm09xFEHe7Tpw+9+TbFZkpmhkjjIDjyyCNpPChfSF09n8+nU9HIudesWRNzHr6P2JrEdUPH8ucbA4/3kDNUEodKW4gXoyRCtgWJQ6UtiPj8889pbN7111/f5L9ZQuJgaQuEZBMCQT67CPJ5CBrLbSAhcTC1BQKiphcXF2P9+vVUiOOx3kSMIJNQEk2DJNr/AMRGQaxGd9xxR0xyAgIS20AaFgFpFF6vl84GkfgK40KKxot2EDKLtXHjRixevFjdR6zdX3zxBY0XatWqFd1HOoWjjjqK7ifx1hwkzmjTpk04//zzG/0bSCzSpEmT6PuT5DcSEodCWyDnJJ3F9OnTdZ+TPCaf/+ijj5YXgsQh0RaMKgo5xxlnnCF/fYlDri2Q1+zevVvN4cHx119/0XWbNm3kVSFxSLQFDhJGRJIAEn5AJgBI+CkJryCJ2SSaiCZmJ5dooAA9L4NyzDHHRMeNGxedM2dOdPr06dGnnnqK1unlBegHDhxIU/t7vd643yVPmb9y5Ur6mBSOJ4XiSb26L7/8Mvr7779HzzvvvLgF6P/880+6nzxPjiPHk9cZC9Dffffd0dtuuy369ddf09dMmDCB1tQj70v+NgmJQ6UtEJC2QOpSkvcjx5JalORz9e/fP+r3++XFIHHItAWCRYsW0fd65JFH5C8vcUi2haVLl9KaxaRW8GeffRadNWtW9K233orm5OREc3Nzo2VlZfLKkDgk2kJJSUn0gQceiP7www+0HZASdx06dIh26tSJlh2TaDok0f6HDYeANJYLL7yQNhSbzRZNSUmJDh48OPryyy/TIvSrVq2ir+ONKB42btxIj7n99tvVfcXFxdErr7wympGRQQvHH3300bRhxAOpsUeeJ8eR48nrSEMR8cknn9Di9eR50tBIQz7ttNOiM2bM2JuvQULigG8LBKFQKDpmzJholy5d6Gcln/nmm2+OVlVVyV9Y4pBqCwQ33HBD1GQyRbdt2yZ/fYlDti0sX76ckpA2bdpEHQ4HJRbXX399dNeuXfKqkDhk2kJFRUV02LBh0ezsbPo527VrR99PTjbtPUzkn6aq3xISEhISEhISEhISEhISEo1DxmhLSEhISEhISEhISEhISDQjJNGWkJCQkJCQkJCQkJCQkGhGSKItISEhISEhISEhISEhIdGMkERbQkJCQkJCQkJCQkJCQqIZIYm2hISEhISEhISEhISEhEQzQhJtCQkJCQkJCQkJCQkJCYlmhLU5TyaxZ4QiUbgDIbgDYXVdr6wD4QjCkShdyHGk8poJJij/08VhNSPZYUWSw0rXZElx2JDosMBsIkdISBwYoJUFI2G6JsuixX9j4JFHIhRh7SRIlnAUvlAEnlAYvmAE3iBpN2F4gxGEIhFsXPoXjhh8LFIdVmS47MhKsiMjyQGzWbYFiQMH0XAIEXctop46RLx1gK8eUZ8HCHrp88s3bUNSYiJ6dO4AWGww2eyAzUHXdNvqAGxOwGoHLGSxwmSxACYzTLJfkDiAEApHUOMLocYXRJUngCpPEOXuACrdAXgCIdoP+INhumxbthBtex0JEylSG4nSdYIVyE6y0b4gJ9WBnDQXWmQkITstEWaz1JYkDhyEAn6E3DWwRcNA0A+Eg+RCp/d1cq+PWh2IWB344pspOP/ikQhETPCGI3DTsVIEK5ctQU7rdsjKyobLaqa8Id1lQ3qCXY6R/oeQRPtfQq0viNL6AErdftpJ1PtDqA+E4QuFoStcHiX/R0kfAco7olFEIspj8h/fR9YK+aaV6pX9fNtsiiLJbkOy04qsBDtapznROtWFVilOuGyWf+vPlJDYI6IBL+B303U0FFCuYROiZgslDVGLja6ff/55fD3pG4SiJgQioBNP/nAUnmAEdYEQ6vxhOviq9JABWBAVbj9+/PwLLAy0RH19AD53AN76IEJeD5KtEaQ7gLbpNvTpkIHDO7dA/57tkZacIH8xif8MoeoKhIp3IViaj3BZISL11YxYB/0wmc0wWy0wWcjaCpPNBrONkerZf87FET27oFs6eewE7A7ATtbKttVB2xFtS2aytrK2ZSZrtm0yW/Hjzz/j7LPPht1ulwRc4j8FHyMV1flQWONFBSHT3iBqvSEEwxF6/w+GInSylW8H6BJGgJBtrw8+ZCN/awWCgTBdQmTt9yPk8yHo9yLs8yDkZwvCAUS3/4Eeg4eja4fWGNCrPQb07CD7BYn/HMHKMgQK8hAqyUe4shjw1cEc8WP8nCVok5uJs445AiZXIsyuJJgSkukCVzKi9kSUlJVj9uw5OPv8i+ALm1AXiKDKF0KVL4jPPxuPwZeMgr8ggIpaPyprfais9cPvCaD0z0/RY8h56NwmB4e1SUafjlk4vEtLpCW7/uuv46CDJNrNTKrL6v0ocweoCmcEIcRsg/6vPuAkmyl74gv4fuU5tksl2fwYAnKOWn8Qtf4QCmt8WFNcSwdSFhOQSYk3Id0OtEpxoUWyA05JviX+BUSJEldfhYinlnYWIAMcswkmKyHTZAaWrenA32RmqrZu5kl3+asLnWiKErcHVNdHMBjCkVc9iCoPU8UjEdZOQqEIimvrsMtdjyXuWkzy1CLorqHn7NQmC+0zzDjlhKEY2Ks9+vfsIMm3xL9GqoNFOxEkxLpoF4IluxH1uel92UQcF2YzXROCTRYjqCeDqNEmEyrrPUhPSWR7TcKiHaltsxfq21I0ivLyMnz11Vc486yz4PH66GQXcX5YCME3m2EhBF+q3xL/Aoh777dZc9Gx70CUu/0ormfiA3EtqeSZrMMRVWDQ+gXWR7Bd7DlyPdfsWIPqvA3IPfpCNj4iAgURI+gSpktEWZMl5PPAX1eNlZsLsHJTASb/9jdrMSbSL+RQwk2It+wXJP5N+EuL4d2+Bb6d2xDYvQOBol0whfywOm2wOOywOO2wOu2Ay4kUpx11Hp/hDNzfSu71ZuzML0D79u3o/ZywDrooY6UjTj0bCek5cNcHEApr7SMUCsPcdhA2loWxZudmTHbXIOCuQSToR7ucJPTr2lK2hWaEJNr7ADLbml/txY4qD3ZWeeEJhvfpyxfVadqB8P3Kv2rHAj0R50q2nqDEt8qSQ8gscY0/hI2ldXQgRQZXhGx3zUxE56xE5CY5pLohsW/XcDiISHkBIuW7EKkqAkIhmKxWwGqDiVpcbYDJrswycVKtG0VpV7xulom3EX7dswmpMOlACJmORFC4aTW2rFiMFsdfqgyuuBskgigZsIXJACuCKHmszFpt2bgWW802zFpVTM9pNpnRu2trnHV8P5x9fD8ccVhH2RYk9gmRYAD+7evh27wa/m3rqBVcBAsDMinXogkmenE3EuIgkN7yGjey0lJ0JJufj5yZDLK0PoCR7aj6fuy5n3+ehuFnnaW2OHL9U+VQcVkxZ5QJNqsFdqsFVou0nUvsG8hEKHHyldT5UFznhzsYxl+bdsLXohsNCwqE49zr1fu9fjzEnlPcfMI4qGb7aiR3GsD2KZOsrB+IIBLh939hCflgyTlMbSLquSNRbMsvpcu3vy2R/YJEsyLs86Fm6RJUL16I2hVLEamvgcVugcVuhsVmgcXBCDa9dpUGwIZLUbhsNlT5iV08vhoRNZmwY+cutG3XnrkE6TiJjJFYGyzOz0NSp340HCMciSCskO0wsZfvXAlX11NY2FI4pK6355di647dsi00IyTR3osZ2bwqL/Iq3civ8dHOYm/AyXO8J7RZWk6vtdfo1Gxlmz4Xy7QF7Dk+lajuhIAvLaxBst2KTpkJ6JiegNapTlhlHJNEI4h46xEu2YFISR4ilYXsiqP2VGJ7tdJrk5IIZXDEtvlFayTYmjPDGEvKxW6mZjOSTYk06SiIolFaiISMXE3NVtUM8r4RNrgisU1M6mbnrM6DKaMLfUzej7SsNVt202XMxz+jZVYqzjzucAw/vh9OOqoXXGRmWUKiAYTrquHbvAa+Lavhz9sEhBoaFJkQNTHKy1gwI9la+zC8RuXMjCyXVNcihxNtVc3ga77LoHIbhO6fp03Dxx9/rLqmdF2IsiYTWEF/BPX+ICXydpsZTqsVDptFTkBJNAqiSFd4Aihz+6kNnJBpOjEaaXgitSGI16iuxxAcfqldBsKR1UkLqVPWTLWLxKjaEW8NTK6M2NZJ2gzZSQK8lX5I9gsS/wT+sjJUzF+AqoWEXC8DwiGYrWaYbYRcm9XBjTq+p9drhA50ONlmYxRlykm9aPn9Xrv/b9+Rh2OOP1Hv/otE4fF4sO6vueg49FzKV8gS5op2fRX8lbvhNJBsMl4iYycuijTWFnq3ScRVFw9HUqK0mu8Jkmg3gmpvEFsr3NhR6aHElIGRXnpvbkK/obmfNOt3zPPiLK4aq60n2A29mbh7X11/RJHfUFqPzWVummytTaoT7dNcaJ+eAJtFJg+RACJ1lQjnb0S4eBsiNWUsyRKJsSaTMmQtdA76mIcGLlrd82LLEEIkBLKttgsl1IL0SUnZLWEzJ1L7IVe9NVWDkW3W7oTJq0Adoo40RRGMbYxFZTX4ZOpcuiQ4bDjp6F4454QBOP+UI5CSJDsUCSBUWQrv+mXwb1mFQOGu2HuzPqonnpNbvdLp2J4MaIT9bMJJJM2sLzCT5GY66zi/6YtqNlM59PZCE0pLy5DgciEpOVnrU4xtTfz4SlvzBkLw+EN0PyHbTpsVLrtVWswlKHzBME1YVukNoNYXVok1vabJpSc0jXnTpqDPkONhIgn79ha68Dp2fk9JHpwtuiMSIERabxmnE63KAoXEhErWwtL6SNYs6CBOOL26T/YLEvsGz85dKP3td1TMm4/6TZvY3ddigpk4g0gMJw+BEK5lISZCeU4Y8MTrRGijMuuWrdt34MrrbmTWccH1WlKwC5mt2qrJlSPCEqgthz2jrTJG0ialKNnninoDbaGwtAofjfscptR2ePSDP+QYqQmQRNsAcoHmVXqwtqQOu2uMsREE5OJTrv6mkm2upjX0vPKv0TZljM1u4IVqn8E7t72BOjmmrElHWVDD7F4ri2rRKT2B2stTnba9O7HEAQ9y0w0XbkFw2wpESnayGy+5SKjjQVSrdb2HurCs+YarVzleMdDq7OQ6xUOIz9MItkKyFXtUJBSBMycbAb9ItPlgjAyyONnWTmvpcJIyS6v7S7VRF2U+bITo8Qfx85xVdLnn5a8w8ozBuOmSE9Gna9t/7TuX2H/bgn/rGniWz4U/bzP3qjZs6RPlYuNNWb1hCzvE09DxlPaaQDAMq45kGwh2Qyq38HjK1Kk47/zz1c+mxsEKH5NPBou7xI/sJdn+A2FUuf1IoJUvbNRiLnFogdxXa30hGmtN1vy+zIm1egkaLqLUzGxUl5chvUXrvX9PQxhd0FOHmm0rkd7nNCVkiNnFIyRkSCHWTCEUCHfIB5PVhWgkxG/x2m2f/rP3/cK9r07CSX1z8OTd16F3l73/uyQObJDwhLI/56Jg0reoWrJU4cE8BwdzSrBxEnEvcSItiAzqGJ+Pf/SiASHJJIeGTsnmIUEkx43JhLLycqRnZsETYu2Dt8eWnbrhjOvvRWl9UM1rw2O07VntkerKha/eowuvoP0aGZ810hYiFRtpZWjy58kxUtMgibYCUjZifWk91pXU0fJBjYMPgqJ7p2zreIQhBilG1Y5Vs+MpD+LkV5NItnCMXkVhj2mTVsZnpFGSOPT8Gi9+++IDPPzA/WiVliDVjEPAGh7atoIuUW99rCWVecOFmR7DVWkk38ZjdBeuQrqVAZquDzK0CR3JjkaxZvpXOPzKx9hpFN6jxjgp9kHxfUmMXqR4BSytB6t/Du0E1b9N6UyMEmQUqPf48dGU2fjo29kY0r8LRl18Ei445QjYbfIWejAj7K6Fd9VCuoRrqxqZLtWgm0DirlTjMXQSShm7i0+oBFkbVG0uLEGPti30SdAEVZvFYgtKtngOBTNnzsLnX3yptDZ9XxLPQcL+gti/le+p94Xo4rCRkjE2JNit0lp+kIPEeVZ5WZkt4iIi92B6yRlcdZRsixP4ynMjb3sQVqdLbQ/G8UpsO9BDVLS9FcVwZLRSHEzi5KqmYsPw2NrhePXDxnWZCEJFk/oFmFBbUYQf5pZh2vIXccyA7rjx/GNx7nG9YZfJZg9q+MvKsXvydyiY/B38JaUCuTbeUEkuDpFg6xVtTcFWJjrFAT0NWQ0gIYE76bT7flRRs9mhbJ8mRLBx0u/fTEBy6y5wtuulEW1l7FS++FvYc3og6mqh5bFRFG3+meK1BXqctwKWtsfKMdJe4JAfJRbW+rC2uJYSSpKlb8/Qq9NNDjsyDGD0jc1wnMpVBMsrb4gGpVv7p2ksWwzvYB2h8J/SM2ohfyZKqksL8rF540asK3VjR5UXbVJdaJnqhFOqGQcVwiV5CG5eitDuTXSQwq4HhSnopv4bAFexRQu5sl9UrvVeKe3loorHFQyWQVMIpeAdCck+HgrAROpI+vy6Tout+UBLI/tRfx1gdcXOMMUb+YlNymAxXLhyK10eeHUirh4xFDdccALatczc9y9eYr9DYPdWeFfOh3/zahq/1gR+rYIRaIWBxLPf8WudO0R0r2X71MVswpq8IvTp1FbYT5KUifZB/q7CJxCSpIXCYTq4cjgctD0ZOiOlTxHUbCFXiG7SS3he/Z5CEVSG/KjxBJDosCLRaZM5Pg4ykPCBGmoND6kZjdnVxdx99JpUwiDU/aq6zXaSx+VFu7Fl3WoMPediXXfCmgK7ts3CQl4rUl1x8jWxVWe0Tm+HEFXxjDOzgkIodEPh4lXMOs5PaODRe90vkO+ifCOsLQ6nVQMWrduFJZun4Ilxf+Ly0wfiqtP7oU128r/500j8j1H59zLkf/kNSmf+iShJgsxvtQKx1iti2gWjupwMirZOLTPA7Q8iK5OEuimVKcj9nq7ZBVtWUYXs7CytKou6AIU7tqL/YYMQUsi1Fl4BBGvL4WyfjhCfjFKdH9oEcby2EPVVwtpuKNsvx0hNxiEbgJtX5cHkNQX4cX0xtlV66IXaVIj39L2FZm/Vq9p6ldpA5mM6Go1k79VHUAZk/D+6HZNTRxzosecqS4sw/LJrqFWEzGQThXtZfjW2lNXTGC2JAxuh/E3w/Pw+vL9PQGjneoBaiIRZWIrGrzQt3ki5gg0DH1W9jrHbCoqzoUGJs74xtvFoFEdedp+uPYmfmScYoWRbOR+JKTclkuRpWhtrKH6WW3uNbVycCiipqMWLn0xD97MfxGUPvoetu0qa/J1L7J8IbF+Hqq9eQc23Y+HfvIp4A/fpPHyiMu68lDiBw8m2bp84G2rGsi270L9b+zhqtjbg0pf84iyGnXflqlXo27evjjAbx4JGMk13x2nyDfV5pD2SBGqlNR5UuX1U/ZQ48Al2YbUbxbVe6vLTFGph3GC8ZJWBhHYV8pEGkNWyFdb9PV+dfFLPY7jkadoPUUAW1D5+zRbO/w71uzcKKmGcPsfgG4z6iCNFgWFeSuU/e9Ev0ESbQQ/MCRnq5BdZSqu9eHPKEhx92+e45e1ZyCvRVx+QOPBQ+sdsLBh+Mf6+9HoU//IbIgGSOMyoUOvHLOLzHHGPa3BsRco6epGelCg0Di1Gm0zmbt66DV26dNWr2Uqy2KzWbZGcnatUYtELFq4W3WB2JKn5CzjZFsdvxrZAx2FFy8WPJ8dITcQhp2gX1fqwOL8KJfV+dZ/B/dRsiDY4WmH/iISbPyGSaeOLjKp2Uz+1rkOM7z6MsXrxJRzwI+Dzot+RR2vtnMzQmEBtZHX+IHKSHMhNdsrEaQcYQiU74V/+ByLl+eoASTdTqZYe4j4iPswRRyBiL8LXglqtEl+2TY2rxpkqw2UsDvq1zkGfCI10LFvn/YwOw65SM3XqTifEaatPWJ0wWZxCfHgjoCF5nHk0NOJiCIfDtCbr1FnLcd2IoXj0xnPQMjttT+8gsR8hWLQD3r+mI1i4g876c+4aVb3d2sWl7y/i9B5NTJTBpztV+qJavoXFbMbWojJ0adPSQLA5GzHW09aX9CLL3HnzcfzxxDarwDB3xhVBrd3p25KRgO8JZPI1EPJSO3miw0ZrdEscOCDl3mo8fvhDERZ7HUOmtXagqtlkO6qo0GKctqpWAymp6WjRtkPseENw1zElW1vzfolLD/x+7q8pRULbPgbBQx/fqg2UFMLgTG30725Sv8AOZK0+HIK1yzCmNJqZ4iguEZjw0995+G11MUae2AO3n9ULOanOf/bjSPxPUblkOTa99Caql60SxF0lT5M6JuIxb7GqNg2Jixkzxc54qmKAeIwJKKquQ+vMVEMSNG2SdeOWrejWvZtWmYWSbEa2uw0YArPVjnDUp5BtbZxkTc1l/YTi/FMX+tkaaAtBN0z2pGYZI91y0VD06tYRhwoOmR6w0hPAr5tK8dOGEpTW8wzi+utDN2b5B9DU50YSmRlewC2x4mvYPkGx2weoQ7AGyLX6nHFWmS4m/PXHdGodV21dxs4QJlR5gthaXoeyOp9aykNi/0W4qgSeWV/BO+NTRMrylRu9IYTBCG6/jp2+1dvEGz6B2rkY02xobVCJHzUobKo2odaQZ0k9KvI2GEiAUIcy3ieoK0TEQ1RnFjfVKJRMOUZNMu6Zlc41FArjw29no+c5D+Gxt6agps6zhzeR+K8RrixG/a8TUP/jh3TiiSvMatiEqqwZ9qnW7wZmKI3gap/wWL3h0vETI9U01k+xCZKl1uNHSoJLsw2qAy3NlcROzvZTy7phWbz4bxx11CCtHekmsoQ+KoaAN2wZbwz8r/QFQ6iq98LjD+xVaSeJ/wbEhVDj9lFHAunHYy8lk5DHhV37SpomhSQLopuy3yws5DVnjLwGdVUV6rk4mRZV8hhBIM592JnZGvZkHq4jlETSezV0sLQcqJQuigUlDE3pFyhMiIa8CO+aD7PFypxSxoXsp89ZEYYZE+fvwOnP/YE3p29EnY+UAJTYn1G3aQuWXX87Fl9yLaqXMpKtQgjtbNLQp8kQnUisvymprkeL9BRtMofe5y2Kom3Gpi1b0bVrtxi3H3n83XsvqQSbL/xzVy3/kX1+JSZbvD832BYsDphz+jTLGGnQxQ8fUmOkg55o1/lD+HNbOaauLaKWZ03d1bQEvhbG+/8Ye8o0rjvWOAASsyf/03YsdmSGeGx9JxcvRgpY+NvPOGH4+fpxoUHZZhN7JjqZsbOiHtUeObDaHxGpr4ZvwXfw/vIBwgVb4o6q90i2RYu4qhyI8dcxL2pgECQeq6hwQpsx1o7nHQk/VTgURFJ2K0G91jq9xlqeiU8EiUKkuDbOLtPjtGAOet8QFBR2oEK+lNe7fQG8OI5Zyl/9bDp8fjmw2h/bgnf+d3D/+B7CBZt1cdHqDy8S6j2Qbd3rjR2I0R7OduoGVOprVd8sI89z1m7B0L7d1YGWSLRjLOS6OCC2zx8IIhQOwely6efGjG3M2A/tK8kW3FN8hz8YQp3bi0AgKAn3fgiSrdvt86PW40MwTGihvp9n4wFt2zgxz5/XKdExC3t9Yd52/D5pfHxFW33MxiRkUl98XmxAKe0Pg9mRKDinNPLTULhTuGQVop5ybYeqeDM1vqn9AjkmvHsRrG2OgsnEiLVZINmkDB99bLGybVreyQx/KIpxc7bjnNfm4q4xH9KJKIn9C57dhVh972NYMPwSlM6aJ4xx2POqk3RPY6V9hdCfkI1gOAKr1ar1IbwfUPqC7Xk70a59BzU+m6ra0Sh8fh8sNhsj2KqaLYSdkr9CsYwzNVv4CA21BVIa1Vf9j8dI0XAY7uJNh9QY6aAl2uQC/WtnJb5ZXUBrYeuG9bHjIN2+ZuDZFCr3iMYfxAhH6Ym1IQ678RbNB1YNPhMzLlPHcTrbVuzxxDb+4KvvIykpyUDA9WRcJODkk1Z7/Cis9sATOLgbz4GCaDAA//Lf4fl5LEJ5awxBQ3EGJ4LEpau0q6ra4ouFbfFaVTskvm4gEFSwFhGLqW5sw5Pa6D6mku3WbEH/S+6MUbRjPpaIpFYwJeUqjnii/in7hbXmljdYXehJtQ6Iva82OaCeRzmUvKSyxo2H35iMnuc+iK+nL2rgQ0n8LxENBeBfORMeMtmUt1YZvOgXnkFWJdJ8v6lhsi0uqspNoFO9tY5GpxIqn4Gq2PT9tMHUT4vW4KzB/VgyHDEhjuE9Rau4uO+vRYsxaNDRMW2JDsDiuUfiuUn2oBRy8KlrkWyr0w4mUqYsCK/PhxUrVvz7P7REkwi2PxBAvddHlSZOmrlSrRJdQcGOUbgN4wrdoiPs7Drv0f8IbF61TB2Qi+RaG1vEquhG7JzxCV3HOJp0R4kTTyaY0zogUr1T9zR1+Sq39ib1CwThAGzth8KSmA2TjlRrKjZ/zBYLLBYzzFZSUxko3bURS6KdcPVnS/Hn5jJ5pe4HCNa7MffBJ3Bb/6Mw6v238XThNowpycOEqmKaTEx3lRl1g8buiQ2RCQPh0M8jsR2k9rXVIjiZyMVDF6ZqE0WbTKIyQq1YxymxZvf3YVfdJsRta0IF+biZR18qTBhof1+jbYG8Z33hPx4jRSo2wuRIOaTGSOaDNZP4lLVFtBb2f+pkjmN9VWPghAYbr5RX0yDM+Ir9QuzYL5ZsK2q0zu7FZ6eV2eR3n7ofddWVaucXfzHFdKpkTf6marcf1W4SHyIT4/xXCJfuhHfGJwht+pvdbfcEnjNAGHE31RlukBZi1G/dYF2XHA2oq6tHSmpqXPt4TEgFKS9UWYalX74aRxmPVT/UZ6NhRLwV6tvHHCHEI/JJWd0srXguYYCoy3Yep3MtKKnGVY98iAvufgvF5TV7/g0k/hWEy3fDN+sLhLetYL8mGcQQtYkOlDW7tmrhVtYiuRaVbY2Ic8u3npyrJV+M6h7PGssvIvG9FCJNSDWJkS2vdaNNTpagYvBjhQGY8pliSLfJjD9mzsQpp5zSYH+jX+v3U+hDCdX2ILY7cV5B3BcP5D0eeeQReN31LPmOxH+C0tJSjBo1it53RXItkm1RrebEW7/W79Ms5MpiFh1y7HhSD/7ah0YLKjk7ziIsfF+MCUQBv4Zpe9GBx3Tr16xNmmFOyoU5RV/rmpN9NU/BHvqFSG0BwkXLYXYmw2y1wWyxwaSs1YU8tipqtpWRbIuVLdVrZ6Ju21I4HDbUBcJ4d/52vDV3G2qlnfw/w5Zff8eZnbvhjfffR3eLE49kd8Bj2e1xZ2ZbdLK58FxZHtzh8N4lqxBuimJlCb3xSN+38NfwfiKvvBodcjIAi4UtimOCrKNmM+rdXiQkJNL7vWoPVxKhlRbsRn11lRaXLSQ4I/+585bFpRqNtgVHMs1L8I/HSNEIzOmdDqkxkvlgU7EX5FVg2sYSahnfX6DLNG7cVhI+7Y3VnMNovxKvc30EX8PWcTHuWu1wlVIckXAYWbktVFtYPHu5aCejna342GSiiVUI2Q5Im9T/XLkLrPgdvjkTEXVXa8pao34NTRHWWcL3ZvJHfK3RNi7KZIJCTlBVXYM0SrSFU6l2cWaJEttOJBKmnY7uoynxfA3/lVFE6woMcSLCB6f74ih3YlI4dR3nOHVWN96xwI+zV+LwCx/FV9P+auq3KdEMCHg9+PLVp+Ff9APgcysDFoVgkzVRm6jlkxNsNjDfE9nWEWqDys0Jtc6OriPg2nOibVwk+z8tXo0zB/UVMs3ydRxVm12AOkWbLCtXrUbvPn1irtg9kWytf4pt+026Gyht0djMKsrLkZSUSKfTAu5ahAO+ZviFJZoK8psG/X6kJCXivBEjcNmlI1FZUaGpyQY7uM4u3qCarfX34iS8RVm0CXl2XFpmFqZ+8JqqVltMJnasgWzHhltoaD304tgL0eAc4WSbl0ai7cpiR6Qmn38bwmJQK+L0C9FAHSLlG2BtNwRms1Uh1Bq5poRbJd1WPdm2mmmG8rody9HulMtgt1vgtFuQ5LBiS7kbb83bjnXFMjv5/xIhtwcrH30G/3f+BbjVmYHr01uijzMRFmXM7DSbcUxiKgYnpGKRp1a9J+7xBqiMs2LG5Hz8pfYTwrhdCLHgj9cVlOGwdi21vspiBchCyLbJjA1btqFbt25Cvg2iaLMxU/72LaggY3gl47jIPcjB3uJNDXz4htsC+XyWtoMRqdm5T2OkaDiISOkaWHJ7K5MPh84YyXwwqdgkDnt9af0/Oo/o3thbaBwiTksULCZ6VVskN4ZzxVUT9KobXakPhDy2OnLcgKodZ612uGYzLr/tfgOhjmcPM5Br5RMYE6N4AwGUV1TSgZbEv4twWT58Mz9HaDtJ4mGIi2gMouylGvGMxLHBF8Yh1cJFHeu30p23sqoSGRkZhutdmIgyfBqbMxEteik1UcUrX5h9ErPWUtiTgaCPZcWNaaMGssI94OJTcY/hjVAYsMU9lqGqxo2rHyMzt28flDO3+xsiVcWILp+O0u2b8dj4H6jdjg5ULIqKbdHItk7ZpgxBJNtmg43coFoLqnbcG6X6WoHMG87Pt7mqPXHOMow8ZbA6IaC3Dgr1VBUyoSZCU665vLydaN++nTohpZvobYxk02/OUFdbTMWwF2TbiB++/x7nnnOOmuU25KlDsLYSUVJSUOJfRSQURMBdh3DQT7/7k048AU8/9RSuvOJy7MzL0/ps3fjBSLz1BDy+w62hhZHqlLR05G/egPrqClX1pgSbEm79eMPATdRLKlBbgRCZNFOvNUPuGaV9aG3LQuOpzYlZiJStQzTk19/DaZ/QcL8Qqc4DzHaaZdxicyqk2k4Xi01Zc6Jts9FtCyHYNgusNguCtUUIu8vQ87LH4XQ6KMlOoHXnrZRsmy0mzNxahlsefRY19YdGgqj/EhV/LcGCsy7Cpx98hJMT02An10vMbCRbOlidKA4FGpjY4Rv6J7SIBYPLTpicMk7Mao2N3ddX55egf+e22n1fULbJsn7jJvTq2UupbS8mQwPqaqqQmJapChRsDMVA1iy/Af+4+vEM/bfBtmBC1FOJcMESneV8T2OkaNiP8K7ZMCXmNHmMdOE97xw0YyTzwaBiL9xZiembmkHF5mPmBuxwjUEblOxdpnH9AEZIWGAYBOlYtqhkI/Yzs2zgjVnHeaIRvZrNOziSFfTvWb+ibcdOQscnqN6GLKFG2zjrII0dswkPPfgAVq9ciXBQyPou0WyIkoHUmjkI/PUdot46TYX7tyAS85gLXoj90cWAi1BuwqReZFU10tLT1UGPgfMbBPEoHdC40rINYp7SUfCBllhnWOlCLB1OYBRCeWFj7TSeIqebxOXHUb9V3KNjLLZ866fZK9Dvwsfw1S8H18zt/gJicQttX4Hg2tl0cuXm84chPTUZz0/6VWEE2oCFkG06uGnURm5SiLlGikV1WSTJxjI/eiKtEWtqjxWJvvI5yONNhWVonZ2OZFJDVSHZOsu4Lgu5eJ0r9nGTCT//8gvOOms4+z4aVLQbtovTTWMDiZcTYQ/Qhm/ArzN+xRmnDVPekAQOhhENuBEqz0fEIxW9fwMk4VGQTGi4awjbpiE0fKKjX98++PCD93HrLTdj3Zo1hhjthsl0owo3V6kV8qy+jpJq9tw5V41Cef5O5Th2Tqpk00Ug7IK6Lb5PfcFmBOsr9PPIXL0mWZnVNqfESfO4aasDljZHA/5q3fUuKon6705Lokbs4la7C2abAxYdyXawNdlvI/tssNissNLFgmigFrunv4OEjCy4XDZGrp1WJCsLIdpJditCtRWwJKZiaWE9SoXysxLNq2Kvf+oFLLlyFDy7CrDAXY0hCamqEy/e0tJqRyGZnOIQrkNtn+CkiCHZehVbs5Rrz+kmXBU31ObicvRo10Lto3QTriYz1m3chO49eyhihOD2i0Zx7NkXo8fgk1Tibazp3eKkW3TOD/UzCn9jvDESVbVb9ocpIRsIBxGtL9HKgnEYBUNfDRPfcvvDnNSi6WOkOasw4P9GY+KMJTjQcUAT7ZI6P75bV4SN/1DF5tCpxPvw+r3JEi4qdkZ7njYYMmZSVj6b0XYi7hdno1WyYPxPVLD1JJksP33+ITp06yHMQsfPNK6RbcVyppb40Mdtk8ez/vgdDrsdg48+CiGvG8H6Ghmj14yIVJXAP38ywrvWxbk4/kWyrQ7GhStfJ4QrCTdiWga7mJgKB1RUViEzM1P7qLrBvliCiD0R9HmwdfZ3KrFW3U7CDBPrtFjHRV9KEnEULkHUrw3ojaXGjIpdTFs2fJXq5xITbRpeoNfvtRNUkJnbRz+i6nZlTfPcwyRAQyVC6+ciUrZTsdsx2939l54Nh82Gez+cQi12nLxqA5n4NnJ1f0MEXLCYN77w8iwG4i4SeEWxePOH2bj5nJPVmDz9oifZ0Qbs5H/+ORvHCfWz90SyjXZxwWyld1XplO89QGgv27dtpW08MSEBJoXo0TVRs4mtsCIf4ZJt1GIo0TyIBP0I1pQj4veoExskV4eJZkdihLtdmzb4fMJnePLJJzDt5590ScmMk+Wik63BeG1d/DV0ajUn4L0GDkI4FEBteYlGsgXVW1W6jSFqymDfmdkK/uoSwcGnL4snZgDXkpOxx9bkFjAlt0J4x0xEPRWq69V4PUdIhvJoEGZXJmztjoXF5tBINtmmZNuh7VcXO6x2RrJtdjM8u1ai8/l3Ijk7Fy6HhRLtRKcNSU4bkunaioVTxsNfU44zzr8YNqsZu6s9yK90y3KpzYjqFavw17n/h/wvv2ESMIBEswXrfG6h7nrsUk4qnJD7bhPIAh9/6Em2gVTrVDAj2WYLeWtSYs9mswt9gFm33r4jDx07dREItqZqTxn7CsoLdwkx2gLPiAJFv76qsQH1c2lkWz9Six0jmdM7IkqcUu5S2o5CO+cw5dxdSkvfRYMeRL2VCOf9iTBxkJAJr8SsvRwjmVBV58F1T3+B/3t0PCprD1ynxwFLtDeV1eMXqmKHm97pNwExk5rNyFHifc4YuzjfJzyhJ+KxOrYxe6eObBus4saMnrFqNWC12tD/6GMbtICJhJ4nVYvnmOQEvLqyAm+89hpGP/2kMpMeRiToQ7CmjKqwEv8MoYLNCCz9BfDVxyhbuh9LtVEL2qt4TEMXrVhjO16iM37lihKBKEGLI/O4DdWE8opyOggXVWvlnWNfZgJsrgSEyOBR/bP0HZpKasyiog0guSWitax2ODu//g/XT03QnJmxX4fheFqyopGbkDB3oDuG7yfq9jFXPIv12wrin0CiyYhUlyC8cyVMRLlT4ibJQmLbKNm+7GwM7t0VV7w8HvXEAUX3WwwLI7xskK5XuDkppmq0Qa1uXM1WyLnFqIyL9nW23lFaRUv/9OpEbINaLLlusGUg2GzbpK6rq2vgcDrhImW9RBJNBmMNkew4pb3i9lnCddyUfpffYj7++GPceP31qppqoqQvRNemcIhuR2vLEd6+HFFyL5P4Rwh76xCqLgFCAfYdK8Sa9L9k4ZMdZMnOzMSkiV/j999+w0svjiHplXT9u448x9mnH1MYyTknzoKqbWYW8q9ee4aejyvbXNXmZFvNQm6os91y0FlI63qkcL/XciUwtwhZeAZwpS0LGcGJtdva/niEyzcA3gpKCqhCF/JTm2to13xEKzbBbLLAktkZFrtdIdFOmO1Otm1ni5k8R7dtdGFKthURXxUKZoxFq6NOQ0bbznARq7iDEWuqZCtq9srfpqCmZDf6HN4fCTYzXFYznFYzAuEwSmvdtL65xD9D4dQfsOzam+ErKNCNd+7KbIsfasuxiYwlGsAsTxW1l+uGVIJqrd/XsKKtGY8am6BlfcOm0kr0aJMbYxdn937WD4TCYZZxnPR7dGGVJAjhri4vgd2VaJhEVf4gmqw4oqpmOts65xQ63ST+GIm0L0tuH1g7nQJL22PYsfXFCBctpRNYsCXA3HoQrG2HwGyyNmmMpG7z70gJ9fplwQacfNsH2LjzwMzSf8ARbTJDQ6zi8/IqaHY9lk1vL7IB/peIk5SA7tbtY0Xk5301Fu9ddzp2rVliHKqrEN1OKskW1ey49i69TVwkyKRzW7t4Pi695R5d7csGM40L76VlFo2d/SaW8aeffgoJLqcyuFI6/XAAwapCRMRYK4mmX04kxnHrUoQ3LdL734yzpgLxVmOWY5LNmPaQgVxPrrV4bPHSbMgivmeUlZUjJydXPRU/fTgcwefvvILbzhyCzcsXqXHXNocLfc8fpW8DwswsVTfI4Ert3RjMiS1hsiUiSnuSxufRVJottNWYDoF8TpWd7+lvj8JkipdeCtiWX4pjr3oO0+aubMrXJWH8Zkkd0Yp8RMt3AhYbYLXDZLOzNSXbRNlmpPvik4/BnReehv974WPkV9axBDO8NA8d2Cjk28oSGdGBurJWlW2VkGsDJHM8lVpYeD1dVRnn56Cyn0aiX/hmBu6/5IwYJZtcj6Pf/xzdT70Yc5as0BFs1r4V0g0zfp85E6eeeqraliJGp1RDJNuQs1AX3hQ/QqTBrle488DjdmPjxo04on8/TcVW+4EgkV5hIutQAFFPDUJr5yBYxpNWSex1W6gtR6S2TFCxhe+bqtmao4BZycNw2Kx4643XkZSYiDvvuAOhQCB+v0+JcCNqtzqu4Kq0khjNbILVZIJVWXfucRi69O6Hkp3bVLu4qHrrxhiGMQ7B2nduxNp3r4V7NyvTp1Oz1fZMlGwbTLqM4OyxxZUMe6eTmJ01UI/wrnmIVm6ByeqCrdVA2DufAosrhdrFLTYXLIRg252w2tiakG5CuK10scNqs8FmJyo2sYvXIH/aq2h74iVwUQXbimSXDckuK1LImsdmBzzo1rMPbn70WSQ5bEiwWSjJdljMsJPvGVG89vprWL9urWwE+wBSs3nLy69i0+jnAZIx2+AycloteDCnHSbWluJXdyXcpC0INy5PNIztQR+6OBKUm5peAaZFH0RFOoZIG6pPGPeLk64m3j9YsGh7AQb36KD0EUoCNGWClSzlVdVIp6F2ZIwUxdsvv4ARxw7EysUL6H26TdeecCQkacKdICCSVVL7AYrbT3hvZeF/+96MkUwmKwvNy+0La7uhMKe2hcnqhNmWsJdjJN6O+SS3VqM+r7gGp90zHr8t2XbAtYUDimj7Q2H8uqkU60vqdNPtjYpl+x1ErU7cyxa/z4OpL9yDeV++S2erJj52PVb++o1yVKzUHkOyddbxWMs4s3jHT1xCZsF+/vITWMkAU0iM1lCmcbFEWPxO14Svv/oSnTp2xFEDB6gz6upMuqJkhCt3s0GBRNOvolAAofULEC7aGicxkn6GUsx6bFS5dcnCDNcpX6nWcF0WclXibhayXVFRgYysTB0B8HjceOzW6/D52y/Darfj1Vsvw6IfJ9KPTwZi+UtnCRMKwp9mNtysRYsKGXw5UqjlqbG/mUDpQnS28Lj6Nik1I8z78vIYuruSkNScHBuPsNS7fbjgrrfx4ifT9vr7O5RBEmlFyvOpZTzKVWxiubM5YLIR0m0zkG0rBvftiXfvvhq3jZ2IyfNXqRld6eCckmpFCbOS+recVDNbeYzdm6sS9PmGF32mc+N52LU6Y8UmZKQk4bBO7XSDDXcgiJEPPodn3h1PQ3BOu+JWfPTVFKWNGy3kJnz/w08488wzEY0SbVKfsT8uyW6IYBuclA11ssYmr/dcAR99+CGuvvJKpr2ohI+p2MR9QAbBlHCTpEPBAKI+Nx6/6xasnj753758Drq2EK7YjUh9pfo9cyKtKdnKPpWAcyt5BGSa5o5bb8Fpw07FJRdfhN35+fEToNHs4A0p29rxjJBrNnAxszhZRlx9E8IBP6pLiuI+Hy+7eSTgw6avRsNLQkNgwvaJj6J6zQyDy4Sp2Ly2tVbTWl+Ki1vKLZldYOtyGqytBrB468RMSsiZcu1sZOHKtg1WRc0OVOXBkZSM7iMfQVqrdlTJTnIpSjYl28wyvnnB7/hh7Bj0ObwfUhw2JNosSLAyom23mOCwmDB10lfYtnkTOrbKQUjmMNgrhOrqsPaee1A4eYoyJuBjA/2SYLHiidwO9Pp7u6oAT5Xl4ZlytrxUkY+RqbnxEwsrJFsk0ppyvacwIqW/0CXf1BTtv7bmY/BhXTSSrajaxK5NxnrrN25Fr169UO/24KbrrsI7r4yBzW7HA1dfhN8mf45uAwbT61dLWKaNZcjiyO2CSDio5rLRxYcrA574BPvfHSNB+WLVvo+6UrT4dLc/hCue/x5vTj2w4rYPGKJd5Q3g+3XFKKj1xXb+e4nGXiPOAOkPFg2thuOVgYxxp0490B0rXpRasrPq4t347N7LsG3ZPFzw2Fu47p2p6Hf6hZjxztP4/f3naNZQ056U7Jj4qlgyLMZDift/nfgZLrv1XljIwFCIzxZjtI0dqhijbZzZ3r5tC6ZO+RYPPXCfalGjnb06u64NuiLVxYiU5cm47aZcv756hDYuQLS+QotB5Ymd1KzFipqri+fkM7GGx2qsUeM2cp2JO6ahKLvFLON7hBCvXEmyjmeqjwvyd+GqEadj8dxZePKdT/HK5N9x3HkjMfnVxzBj7LMIh4Io37om5trXBltkJlS8SZPZYOUvtSchUrQc0UgwRpKjf5aQQZyRY61Bqx0F3cdncwXnAD1Gs+izJarM6IoOA0OSOLorSuOyHnv7W1zx8Afw+mTSwD2BhJ4Eq4oQCQcQJUq2xYaohSnZfDHxNSXfhGgzlbtT21aYOvpObC4sw41vfY1af1Ag28oiWMup/dRqbkDZVhRvQsoFYk4Xvo+SduWx+hqlZIvFgkqPD2/98Ceevvp8zTJosWBnSQWOv+Y+zJi/BFPefQHLpn2N60eej1sefhp3PfYsgqGQbhKtqLSUftas7GwdieYxfHFJtoFgMwVcc65o08MNDKTitGp+pdfW1mL2n7Mw4pzh7J5P+wBGsE1Ggk2WgA9zl65EUVkFOrt3wjtvqgwxagKiQR/CJdsBHxEitMlslXBH4qnbegLOX3fu8OF4843XaZK0BfPmCsnRuPLMxxIioY4/2W4k0FzV5ip3QmIiPn/pcXo3VTOQqwnStHOQe7uvshhL3rwVlZv+RofhN6PThQ8jq/8ZKPz9XZTM+Yha3km7ZFZxpZ41zwauJDAz04RlPJkZibU2xl4rsdaESDsImXbB4mCKtlUg2GTyly2MZNscVtRtnouyhRPhcFqQmt0CCUTNVhRsrmQnO6xwF+/EmnkzcOvjLyDBboHLRhYzHFZGsB0WYNaMXzB71ky8/uLzsESCiNaUIly+S46RmgBPXh5W33QjapYtoxndNVu2iT42LlaLGaelZOKRnA54pkVHPJXLFrLdx5WoEnWjkLHnvBzaQj8HvTbJtkiyleSYSn8RMZlQ6w0gMzVZ6QPYOIZaxpUJ1Y2bNyMjMwtnnX4a5sz6A2998gU+/2UOzrz4Cnz07EN474EbEApqYZli2VMyXnHv+Buh2mLd+IiNIfm4kB8tkJl/dYwEwSWgqNjK360lgmPfAaHrL3y1CLe89Qe8gf2njHNjsOIAwM4qD2ZtK0eQZrBpHjRYH1Q/YRP3aDFJDHusDUKM+7XBi94urhtnR6PYuXYZvhl9B2xOF65+9Wtkd+xKjzntlseR3aEbfn//eVTkb8OIh15DQkoaPYWRZHOblTqLbI636JVsrlbX11Ri5M13weV06hKXiLPRxjIdxk5XS5RCxkwB3HfPPXjv3bdpp6pZxrllTejcleeideWURJpbdKVqlEQsInUViOSvZTZLMmMp3A61Nbm5kXI5bBaRXHt0TUbP5MchCoZ6KWo3S22WUWDaWn6MRi1E+w52Vr8/QGNK/aEI/l60EDdceRmcCQn44NvpyO3UHbWBEK548Flktu+KqW88g6K8rXCkZiNKBuvqDVrp0GinRjotQcWw2mhdeKL4EKJlzu6NSH0ZzMmtqJ1b80vxvzfWPcKbLu+ylH5EB0KoY78nZY9wPHtL5Rz8t1O+aFPUhEm/LsKWncX49vXb0SY3ozm/8IMGdTXVsEWCNI4yanHQCaRomNnfomGxA1fs2SFN+SWPo2ZizzTj8WsvwF+rN2LkmHF46JLTcdxhnajl0MSPFe22EfIDR1nCGtKu9DWxKLSkM9psvzFkgxNzOklGlHazBQ99+hOevuY8uBJcqu114ZrNuPihF5GY4ML8ie+jT68edELh7WcfR+9ePXHX489h/dbt+OqTD5CRnUs/71dfTcSll45UiHWsKi2SbCUnkL60F690IV6ydIPcR5SqAIabjvEeoTmsonjn7bdw2223UBssdzGpKjaZ7CJ5OhSCTZbqyko8++lUTHzgKoR9fgQ2LoMvfydShl8NSwqzS0roQTK2R0jYBP0xzOy65DH7LCiT/X70RyETf8pjM7tI1MdkbWYTK53at8ekr7/CLbfehi2bt+Cqa66h/T75jbUehHT45Bxaj8J7E/rr0/MpN0Z+nZmZy8IaZfe/dp26oN/g47Fj3Qq0P2wAzBFNEBBJesWWVZj71gOU6A68cyzsWR1QsnwW2px8DRxZ7VHw+/vwl+9C7rB7Yba4hKoX/KJUiE3IjAhpX0p/QDpGEq5HQrG4lZYMlFhmcU7QtTUr42VVM4uTNWvKEUT9Neh91VNwuRwsJttF4rGZZZwmPiN1sxf+gX5HHY37X3yXku8EJSabEWy2LF20AF9M+AxfjPsA1kgApqCPVk+IeqpoWIClTS+Y7E7ZDOKgavFf2Pb8swjW1VNSS+5xlGCTZhAm9/QoIoRLcLKoXPss2UpDX6nBNWdQtlUirarV+m2RZGvP65Ngctv4qoIyDOjcWp2IZaq2lfZXjGxb8PusPzF/4SIkJiVjyi9/UKs4qbp06xMvIKdDN3zywiP47OHrMeyelwBzQowrxJ7WCuG6UthIKJ1Itkk7MAntV2m3//oYyaSRbB76wSoF6CcC1LwpZgt++Gs78so9+OSuk9EyQyhXth9iv1e01xTXYsbmUgTCJNS/+f6LC4NYZxTl4u+Ln2k8hmTHeSv+SZZNn4wJD12D7Hadcd2b3yCnYzddwx541iUY+dxHKN2xCRPu+T+U52/VK8pxZpp51s54i1GhJud4/5mHUFlSHGMT00p0xGYg11vD9GT7yccfw/XXX4e2rVtryW8URVudSRdm1NXZdG8tIjuWs/JUEjpEakoQLd6ilCKy6hM9CQmfRIWbzaxo9iDVZq5LgtGAjZzHPet8FM0I5X1VQ1EU+Pyz8fi/EcPRpXsPfDFtJjr36KV7yZBzL8Xlz3+C8rzNKNu8CvVFeVpnp96sNeugqmpQq6Ci+JM8AqltYXamIlK9I2ZiQe0geFsV/nxRrWtY+Y+/Fo8nnRmf09CdUx2TmrB8w04Mvnw0Vm7atddf7cGOkpJSXHrZ5Xj93fcRjJoRtdqpks3WpC0IirZiIwe1kvOFKd2sDdkx5PBemPTU7fhp8Vpc98aXLHabq9o0pjNO3LaaZElRupWF7VcGT8pjpmYrr1UXTTV/88e56Nq2BY7qpdgFLVaMm/Ynht36BHp2bo+/Jr2PPj276TKP33jlpZg+aQLWrNuAY087Gxs2bYY/EMDvM2fhpJNPiZnk1dvHedkXkYyzSTmtLqu+z2s4QZohXafmUERlZSWWLVuKYSedpNz7Cbkmcdl6RZsmoQr6KdF+9L0v8eglw5BoBiJ+PyXb/l3bUPz+s/AXEDIpISJSU4po6Vblu+XZxJUwLWMSNFHNVh8rvwV5fVQ/IZ6cmIDxn45DZWUFbrjuWtTX1ekVbZ2yrY0t+ES8Lts4VbKFLOSCyn3mpdcgPT2TWtc1x52igJtN2Pznd5g15maktOqAoQ99jNQ2XShpcaRkYPcfHyHnyOHoeMlo+MvzsHvKQwjVFioTrFzB1rKDqxnCiUJNlWpFseaL3cXisun+BG1R9zlgdThgczA1O+Iuw87vnkWkvgTtTxkJZ4IDCS4rkhJslEinJNiQ6rIjxWnFkh+/wOal85CbnYUUp2IXJ2q2QrSJZXztimV449VX8emHY+EihIySbC9MIbL204SBwbV/IlxXKRuCsV/4cSq2jn4CEZ/HoGIzxZiFApGFk19NbRYfxy5aIrNGFW3lvXQqtmoTV87fUP4OJSzph2UbcfZRfYScIWJCNDM++WIifpo2HT179cL0WbPRvddhWq3sKHDKRZfj4rueRPH2jfj6gctQU7A9xoGa3PEIuFodpuQWEcksr9KihabGDHaafYxkEizsgppN47NjVW0tOagZa/IqMfyZ6Vi3q2q/bgv7NdFeXlCNBXmVug6/qcveQDeYiGuGawYICWf4O4TDIUwf+xx+euMJ9B92Pi57/mMkpKYLoRTa1duh7yBc+8Y31Lr02d2XYuviOTF2cX3Cs1jbuFGl5svqhXPQql0HtG7f0WD1Ul4rxGKZjAnPYuK0gR+++w4Wixkjzh6uxIPpLWtaZ663kPMBWDTgRXjbEkTc1f/GL3FAgsSwE3t9lA7CWdwpT+6kEQYD2aY3Z8V2JNToFa3kccm2in8qZYuKAh/KC52VcOJIJIIH7r8P99xxGy657AqMm/QdMjKy9CHlStK9Tv2OwsiXv6KhFHNevAGVG/5SVGxloTYsq0qyyZp+P+S7oMmiFNhciNYXIly8UnWlaIqcVneSTnYbvwbhM2nJpNiUgZE4i/v4sQ1NXQhmc/q4pLwGw258GUvXkQkBCQK3LwBbQhImfPU1MrJzcM5FI7F8zXpEKNF2CAsh2mybrCGQbbq225XHZG1HaloqXrn9ctw/cjgeGPcdnvpqOur9YWUiSyDc1I4q2MtF0swf84GCaicXnxdt6Va88/M8lNW58cDIs2ibDkVNuPftCbj5hfdw9bnDMP3Dl5FFSt+JidGUbKzHHTsEC37/hTqRjjv1dNz/0CO47LJL6WCFkuU4BFlHspVJYbEOq1Gk10WJCB2leIzWboRpORPw3th3cdstt1BLr0byWGy2aBlnirYfsxatgM1swpAubRDxBxCmRDuAkD+AYHk5dr/5NLzbt8iGwO+bVUWIVuxSfjSe3IzbxrWs4nGzjnNyHc9OTuttE+IdgcUUxQP33YNRN96IkZdcjI3r1uom2WPJtkCy6XiYZxRXEqKpi1lNjEbWC36Zgi0rFutIOHn/2R+PwZwPRqPrCefixPvfQUJqBiwWE13Su/SDK7MVIr4apHbshy5XvE6t3wVTH4GvYCUsVHlmVnEaS60kMiNEWiTZVkcCW5xkSVQWss8Fm8OpLIxck8XuIHZxVr6rfPE36DriDmR26EoVbBKPneyyI5WQbLLQxGcWOE0hZGZk4K6nX0aKy44Eu5naxamabWUke8u6NXhu9NP4fNxHlJybw35KtCnZDpDFS5dwbSVuv+r/ULJ1vWwLCoq//Rq7P36PxQLHIcDioiam5OE8KuHdU0LLvbOLM0u4qGgr76mu9Qk3QyQhcUEp+ndtx5xOSp9D7vWhSBT3PPE8brnnAbRp3Rrf/fATMjKzhVBUTfQjIQ03vfMtrHYHpj95DUpXLxTy15hgTUxF3aZZQsJAtjB7Ns/kpL+3Gx//8zGSySCM8DAt5bOIfajB4q7l3zGjvDaAy16ZjVV5++/EkymqCy7ef7B4VxWWFXCiZSgOvweInf6ewDlAPGu4eJRusCG8Nq5aLajYfDtiWLtrazDp2buwfeVinHHLozhi+MhY257hxOTv8Xvc+OGVB7F50Z846Zq7cezF19OYap7lkyaKUhRtMSZK7ODEbWIxC/k8sFutSElOgtUidIBmEx30sBlosR4m3xbKcij7d2zfivvvuw/fTvoadnID4QlvqE1QG2TxDp5ZCJXEOIRkhxSFgxxPcld1HQRzsha7eyiCzFxH6sphIjZLqgAJyYNURYhZMMmabpPvUjmO2GDpWkh+w7aVwZgQi8kvWsXZzCAmVaMWCEEhV2ZaRQWdkxF1IoBmf7Yxq5vdSYlO1OpUCVGF24u+RwxBVXU1nn/pFVx69fXwhiLwBiPwhCJwB8Ko9YfY4gui2hNEjTeILWtXY+YbD8BdXoj2p1+PrKMuQNAXQsAbQMDrQ8DnR9BTh6CXLeGAjy6ktizrHZj9N+ougcmRygaf9iThm1c8so3cR5ijVunmFFtlHLeUcHDsAXp7bvwDU5Jc+OntuzG4Xxccyqhy++H2B5UYzyhdKsvK8PijD6NVy5Z47KH7kWC3KvcVksma33+CuvZC7cq0bQSF+47SZkgbCofw29+r8MbkGTj9iMNw9SmDaN1b3mZYeyGkhYcOGUrZ6TVezR2ilJzjk19v/zQXxdX1eP6Gi+iEWbUvgMufeRezl6/FG/ffjJsuHaHEmDOVnqn1VrYmdkIak25FnduHq2+8GdOm/4onn3oKd99zH7X3ksocxCUZiShrksk/TpkvsQ/k/ZaoSIjkma2FqhXKxKvYD5Dfp6a6Ejdcdx2+/+ZrmEnbCgdgIsSarEkb5HZYvxdRnwf1VZU4/6GXMen+q5CAEIJuL0Jk8fgQdGtLOGKF5fJR6HnyKf/ry2+/QqRyN6JVhYKMxH8s9mtpGen5D6cMoIUycDH12JWJ2KhSQkh8jiylZeW45bbbcf755+Pi/2PhCey6iuq2+TXHrzeyJkSB5KAIRaM0DDAYIesI3Q5EIigpLsKHzz+Om14YC18ogoqKSox/8g5sX7EIJ97wELqefCE8/jCNy/QGwvAHwwgGIwgFwqjYsoLagRNaH4aAux75P7+Kum1/I/Poy5DSdzi1htPQoVAYEdLOBbs4j+mjoSBc1TNbYCEDfupCIdZwZW21wGI1I1hTgOLZ49HxrJuQ0rI97A4LtYqzEl5K6S4ls7jTFMZ3bzyFo08+HccPO0NVsQnBpkq2Epedt3UTHr7vXnz2yQfITU9RCLaXkWy/h7YT+L0Ieetx5ysfYUCn1rjylMFwDD4Xlqw2OJRRNHECSiZ/Sa+BKAmFCJPfm6yVx3TMQ27Z7DE7juzjz7PnWEWVxt8rJtmZYgPnijUj0QqxtpphsSmk2mahC3lMkueZSTk4MmHjtMPitNP1jC27UVDnxe0XnAJzYgpdTAkpqApEcNl9T+PPhUsw+vGHsWbjFoz9aBw8wQi8oag2RgqEUe0NYsztV+OSp8aiuLyK8oX85XPR+awbkX30hfB7Q/B7/dg59VlkHHszQgE/AnScVMvGR2ScRJwTWmxrI9/Gvo2RQLOL6xOfcSWbVQUQyb+4T3uO2cs1tZskGfz0jqEY2Hn/4wv7paK9MK8SS3ZXCzFmStH1RuPN4lg1mwLR/rDv1Yma/FbkbyHlLN6/7SIUblmHK8d8giPPHqkdxNVpw0QBH+A4E5Nw8eNv49hLbsSsca/h+5cepI1Dq2+tzxIukm4xJpsvP3w6FptXLUNScpJqN1cJdJws4yrXEkt6KWu3ux533Xknxr7ztkKy9TY1jVwbS40QIhhmhDAiEMOAD28++SC2rPgbhypIptEwKX9GBtdmpmLHKtlsjbg2cqFkkVoiglt1jJnJxTjSf/a5ee6BGBJvmOrcsGULhp58Ompqa/HDjz/jmutv0E4iJEuPCWcwm5DbqQd6n38jOp12BXZO/wh5371EiRPr4LTYbLqQbWUGFGI8NLl2SXmXSAjh3YsRLvhbmeTR4mtj/jZhm41veVI5YV+cY5XwpphzmhrYEOtX1tZ7ceatr2Lu0k04VFFc60VpvR/+cBT+cASBCBCMmJCenYv3PhqHo485FuddfClmzlukqthsbY9VtcmEj11ZG+zkRN0m28OO7o+fx9yLNrmZuOKVCXhg3I9Ym1+mqgzMKSGo07wEWFyFW2mDisOitM6HUW9PRJ0vqJLsTQUlOPbmJ7Fi03ZMf/dZ3DTyXC1ZGo3RY+SHrgnxUcu9WJCUkopBgwZh+PDhePqpp3DDDdfB7fXGKNQ0AEunZIvKNreLC0FWwhyC2NcSxNrFeb/F7h9vvv467r7jdlbKXlRNxckOHp8dDOD5z6bgznNPRAKJq/QHFEU7QBVtcZm7aTueuuF61KxYgUMVJB47WrlbSELEJ34EFVvJhcIcZQ1YyuOq2bFqNz8+NzsTk776Atu2bcMtN41CfV2tMF7gyVO1yXg6F8sVbsMkP5vI11Tt7JwWuOreJ+jnLcvbhjdvOh9FW9bhihc+oUKEzWKGzWqCzUrWZprAiggDhMSktO2GsiU/oHr9n7AnJqH9+Y8ia9BFqFj0Bcpnj6XqGynDRWzfqj2cKNl2Tc22OROVJYkuVhdTuImabXUSNdsGU8QDiymIimU/oPOI25HWpgOcJM6aZBVXFOxUYhVPsCEtwU7Xsz5/F0NOPRMnDDsDSXYrXRIMyc92bNmIh+67F59+zEi2WVGxyYQUj88mSjYh2Xe8/BEO79AKVx7fHxFPHTx/fIlQ8aHreCr+ehzKvp8o1FIXsourdnClFCMnw8Q6bjVYycXHDSRN42q0WtpRVbgN78mVbEUtF88thiDxUCK6bbNi4qI1+L/jB6oORbJs3FWAYy6+AcvXbMAv33yOQUcdha5du8W4cLnwx/axCVR7QiJOuusVdD3jSmz7+QNs+3YMnegkrr+kjkciVF9qCK9Txou01Fec8Y/u5r/vYyTQjkKzitP3VUvvCYo2IdnK2JXbyLnVna21smRufxjXvDUfizfvfxWM9jtF+6+dlVhaULNHhbpxHqARhabwBZWkx1Gyxd2NJkETByBx4rP5oGbDotmY9Ow9SMlugUufHov0Vu2084ikX8gGq6kJQtwEgHVzpuP7Vx5GbsduuPzpd5GW00K1cMWLg1KzfSodXHnBLox/+Sk8OXY87BaLTsU2Kt+iFUy/VqxjiNIYruuvvQZDjxms1EflnbWw5uo13ceO0dRXRckOMaXppfHfoqbejdE3XAL74afAnJaDQwlBnxcRv1v5HkV1TrBeKt8xU7QDgrItqHX8O1XcA/Qxn9xQ7YWab1RfeiGOIkeZr1JzsQFFW61FzGsZE/KiKtpORG0O/DJnEa64+W60bt0K2Tm5+PmXX+ELR+APRenaR2drI3AHw6jzKzO2PqZqE0WbLJuXLUY0rRWK1i7Bhq/HwJXTAW3PfhhRWwoCviCC3no6OKFrv4cuYaIOkFlsPigVEPWUA840RIqWwZTSFqbEXPa3aUf8Ey/9XiL2vRITHPjl3XsPOWV7V5WHkmwbvz9ZxHsVU1DJ/c3jrscLzz6N2poaPPfU48hOT1VIAmtDtL3Qus1iSSnx3mNYcydIOIyVm3dgwm8LsGV3MVW5zx7UG22y0g1kR3cT18NspmrfhFlLMHXBSjx19Qgc0aMzjQWfsWQtrnx2LFrnZGHqa4+jS8f2alkylkmdTZ7BzBRsUdEm+/MLS3D7Xfdg8pQpmPztFEqCevY6DOO++Bo5LVrqlEWiNookW7Qd8s8tOlrUMCZDPhDd5JfgciK/Q0lRAe6/9x588/UXVMVmaraf3qPomtpgPaqavX7jFjz/2VSMu+0ShD1uhN0eqmgzFZus/QjW+1BcUYuHF63GC917wG5xos9bryOt/+E49Eh2gV6t1kG4T6vPK0q2stYr3FzN1hRupnhrqrZaOk4IW1iw8C888+xzeOKpp3HEkUepoQpU3Y6w601VuIXHVNVWFqJqk/w7dKHKXAAPXX4OCndsRXpOS1zz3PtIzG1DFWyyeJQ1UbVJ/xAIhulClO1gIIjanRsQNdthdqbB7ExB1bo52P3LGzRZWsszHoAlIUNRMpmazRKFCt+cEifLBv9MnSRhcGFPJcoWf4Owpwbd/+8ROFxO2O0WOOxWOImabbdQJZuq2YqiXbF9PYo2r8XwkVchkZJrYhVnajZPekbs4ts3bsCjD92Pz8Z9jNz0ZKpim4NenVWctJGIz407X/4Qh3ckJHsAon7izmJ9PynMlnTGNbC17IBDCSWTJ6Dsh0mKii0o1eq2fqHjG0HB1i3CLKJWPUV5I4Eh8lhtY7kwHpsdQ9oVFZsp2lb2mKjZVNW2wupy0ImcnXX1eGvWMrx3+2WwJCbBlJBMyz1e8dgraNMyF1M+fQ8du/XApxO/Q1JaBs4ccYHq/KsPRmgyNDJGqvGFUOUJqOvK+gAq3QFsm/8r1n35Apw5HdDu3EfoGMldWgDYEpVxkpuNj0hoArkvK87HaDSsE06aBpGAmTSyraxZ0kGe4Eyzr/NM48Z9qrLNE8TxbU60ae4ddm7S/j69/RgM2I+U7f2KaP+dX4VFDQS1ix09fdyEsa4WB7DnYxuyi7Mt7fqKS7JFEh6XZLMY1LnfjMOvH76EbkefgAsefBk2ZwI8dTWoryxFfWU5PLVVCPr91MoRDPipxYnEFtlsLPmG3ZmApPRMJGVkIyUjG46EBDrj++UTt9D3umr0WHQ4rJ9KgqmSLSQ0E2eSyUC1rqKc1mNu3bYdmy02zDZrr+Pn089WWwU7+RuvvYIElwu33nSjnlyHY+3ifJDLCaNqFxfsm2PGfUMT+zx+5blsNp5kCB5w+iFDtn//4w98/91UvPjsaNhopnCNIJC1lrWXfY+UVKvfo0C6FVusZiPXkhExB4GWdVWf5IBbqNiFrSne2iCuqUSbxsRaNaJNtl8b9zUeev41nDnsZIz78ANcdeMteO+Dj5BfVISCohKUlJWjzu2B2+tDnccLjy+AiNmKkMWKkMmGsMUBuFKQt34NfBETWhx9Lsq3rsO68Y/TAVSb4Q/BktYRQZ8HIa8HQR/rRGhHQgYtyncRoQmAtL+TI+qtRqQuHyZnGrMK+2thSm4Bk4vEjasR11qH0ij/3ldyHt9jTmzkv75/H444rCMOBWwtr8euKi9sFpN6n6LbIulW72+g2a1XLluC0c88gysuG4n/u2AEzFTFUyar1Hakn7DipFtrK8JjMuBQ2ovP58NvS9Zg2qLVKKyoRt+OrdGzXQt0bZWDtllpSHTakeiws1CfILG5BrFpdwl+XrwWq3bsxlmD+mLU2SfBYrdT0vLmlN/wyAcTceYxA/HZ6PuQnJKCSrcPxVW1KKmsQUVNPTyBIHzBEHyBECUodqcLTlcCHC4XEpJS8NG4T3HrrbfhmKHHwZmQiGXLV+CKkRfTfufjz79G3/4DVet4RKdkx5vkbSjuWsnRIRDtuJOvpijuvetOXHv1VRjY9zBGrhWizRdKsMmEF2mL3nraH75+wwi0cDkQdrsR4kS7nlvG/fDX+3D/vOW4snUbtDPZEfAEEbG5cNT495DerzcOBURIeScSk00h3JN1MOwXiHaDhFu5p2u12BWCrWY65s9z8k1q+ppRVV2L2++6G0cfPRg33HQTPb9oHyekek9km5Bs6lIJhTHx47EY/+potGjbAY98+iOidheqKipQVlqCytJS1FRVwOPxwuvzwe/1IRgMImIibg/u+HIg6KlH6bLpSO99CjL7nY76ws3I+3Y0vcjbnPMQnNldFYckDzDVvjlq++XZoE1ReHevQ6i+DCkd+wBhP1LbdYfDboGTkGVSlouSbCsSHBYaspLosFBSvW72NKyeOwO3Pf0ycrMydVZxsU72lg3r8PjDD2L8xx+gRWaaZhcnic9o+yB2cUayH313AlqlJWHUsKNpksCo349IKETJNiXcZivSLrgZtpbtcSig7MeJKJvypcEOrlnH9URaINbReAQ8llzrHquJYbVtXaI0taxofKLNyDYn2lZY7FZmHedE2+XAEz/OxSXHH4kjeneHyZWAN3+cg0fGfoGzThiCz94cg8T0LJS7A3hk9IsYeNQguJJSUOv2ot7rRZ3HR8dIYbMVYbMNs3/6FoNGXAkkpCHkTIHfngp/2IrSLeuwZvxjdLxHxkili75BxuDrEIma6FgprBDtkN9HhRk+TuKhUkycUL6UeMMaLd5QS6pm0hyTXKyh5FixfGskmmcZ1wg1f05vE+ckmzgUxZK16s8DR6Qez1/cHeeePAj7A/Ybok3isec3IZhdtaY18bya+2FvB7r/PC6bb/t9Xkx89h6sX/AH2vbqj8T0TFTk70Bl4S5aD9gIYp8gyQzIhRUOBhEkM5txfiZnYjKy2nZEem5r7NqwEvWVZRhxx+M4/vzLdSSbKw409lpRghZMm4qExAQcN2y4NmglVixOsgWCrY/RNq5N+PWXnzH9l18w9q03mF1Np2Br5FpnHVfVVk2BJftIx/HU+1/Sz/no5ecoljeFFFqscAw6B+bUbBzMIAPzQCCIqZO/wffff4eP3nsXqUkJLObUGHvKJy0EhU4l2sGgQBaCmpodN26bq9vkE+gJd8xgTby57ZFo82RTxKbrgDcMXH7fM/jx99k4+oj+yMnJweZtO7B5yxYa02eE1WaD3eGgbYGUjAuQDiBOW7C6kuDKagNbag7qdm1AsL4S2UOvQ1LXExAkcW0+0nl4aD4C2pkEA4iE/HSt/r1xQFsxGcx4ygB3CcwtDkd413wa020imctdWuktNbJajG9VYsH5/YSU7iLlRXh5L/o68SvW3pUeqzuHugbSUhPx24f3o1/3djiY8cfSNVi6MQ+9Bx5JXThkgGq3sLVKunUThFzdJi7ZIN5643WsXrUSLz33LNq1zlXaDWk/wj2JtyfRAaIj2kLbEdtKJIJwOIwNOwuwcVcRNucXo6CiGh6vH/U+H72enXYrXHY7OrTIxFlH90O/Lu3U+GxfKIwrn3sfP81fhqP7dENORjo27yrEtvwiVhvbAJvNBqfDTuNFA8EgvN74bSElNRVdunSlE6jLlvyN0tISPPncizT3QdhAsnVWcMOpdIq2EJstJsES+wKWCwQoLtiNRx95GF+O/4RNCvLYbJFo+wiJcCPqdeP7P+Zh3dYdeOCcY2lMdrDeQ5eQqmb7EKgPYNrmXdheVYfLs1siUE/cKkH4SfxAYiKOmzwOGX164mBGpGI3omXbhT0ieW6IaBtUb9193ByXcMcn23HIN1G3yQIz3nnvPcydNx+vvvoaclu10inanGzTa8+4P0LCQKKodbvx5B03YsEf09Ht8IG0hFZVeSnKCvLjj5EsJMmZg7lEQkEaUxrvHm62s1J59ozWCNWWIeiuRsuTbkBmv7M055YS9kAeh+vL4CncgNTOA1G2eCqsCUnIPvwkJOa0pqoksawTYk0UbK5ic5JN6mFHfXUoWL8chx0+AC1yc5HksCkqNrGJ88zi7P61cslivDzmeYz/+ENkpyYwm3iIW8Z9rH343Ih4PXj2469Binned+5xLBM/Ca0IBFSSHSGx54RsWx3Iuvwu2Fse3P1CxYzvUTrpUyH+ugFS3ciiqtuqISl2tlFVuVVHn7BWKrfE1MtWiDaZrFGVbBLbT8g1Idp2VhJOJNoeADeOn4apj90Av8WOq1+bgJ8WLMfgw3shJzsLm/N2Y+vOfDqxFK9fsDuclOgHgwEEfE0fI6X0PoOOF1MHXEzJNRkbhRRFm5DsCB2TB5myzXP7GMZLLMGZgVQL2yYl9wNTnrW4bDXbuUHN1sVri/tpFnJ95nEiFEYCbvhKN6N+05/0vpRz4q2oWDge7Y65CJOfHomebVg5ZBzqRHtzWT2mby6NSUoWD2KH3xSIg4S9wV7bxZUH5HE4HEHBlvXYtGQe8tYsw5alC9TOIiUrl5bxym7XCRmt2yM5MxdJ6VlIzsiBKzWNZgkkF5f+VyEzdCTJkwee6grUV5XBXVWOmtIilOVvR9nObSjZuZU+T98jMxs9jxqKbv0H4fBjTkBmTgvBBm5GXXkJ3nn8boz+8Es47DZ1AMuToJHBEk+gpkuCphBvVeEmMbbr1tCYQBK3ZSc3F3EAaySCYtZZas1USLZibSad5X2vj0P73EzcccEwgQyScygxZnYnHMePhNklJq06eEAscXVev/q9L/t7MZ4d/Qzef+cttG/bWqlBq1fk9GstMZqaHC1GqRPXSi1RNYaPW6pFom0cpNEHaomFBom2lSkNq3cU4rclq2mt4j/+WkZJAkHrlrno3q0runfvgc1bt+HkU4eh3xFH0nrAiakZNKY2ZLLAEwzT7M915LshtnGPD+VVNSgqLkFpURFdqot3o7Z4N+qK8uAu2Ykosd6RZHoJaXC26g1bZmdYs7pS6y1VtYN+RAjZpkk/9IlxtORWDZBvMvHjqeCPEClZTTOYm1sMYNe21QGTNX6N01hSjX0+rmVWKv768gm0yjk4awtvr3Dj11XbMHXsy0hITMR1DzxJyTUl22YznSAkg1adum0g3YQGbN+6GY898ghOPP443HrjtZSEs3hUgWiLyjaftBLajHYf0hNtHnahJUcTgprFDsLE1ORV23fjj2Xr8Ne6rZi5bC0CQUaoW+dkokfHdujRuT26dGiHNi1bIDc3By1a5CIrMwuuxESaLVmzjFupurh+0zbc9/AjGDNmDHWBFJeUIH9XPjZv3ozNmzdh88aNNHcGAQnPOOb4kzDw6CE49qRTkJ3LLOWqdVx3zWk1L8g/LD+HZhfXJ8NkExu873js4YdwwbnnYNCRA1SSTQk2IUMKkWBKthtBdy2G3/sCTYDmioYUkk2SoHkQ4Gp2PWnvbty3cDle6t4TUW+YqtkkqU8gSEJNIrBkZ+Kcmd8isWUuDkZEaksRLdgYG/0Y7wZhuE83pmzHEm5jcrQ4BFyXI4CRbfJ4/abNuP+BBzHqpptw2hlnqeEKnFSL4QvBUBhr1qzGvD9nYtnfi7B47mxKEggyc1uidccuqK2uQstOXdF36DA4UzPhTMuEJSGVKnaBiAm+YJjax+k6EKaT0976eniry+GtKoe3pgK+yhLUF25BXf5GBOuraRk5+lVY7UjvORT+6hKY7Q6kdTsaCS06o3L1H1S9zuw5BI7EJFhJMityj6Ek2wI7sX9Tks3IdqKdkGz2ePvSeZg18SNccefD6NP/CEqwSRw2V7Ed9N4F2M0mzJ89Ex998D4mfPIhzUBOyTVpG8QqrmQY50T7tc+norq6Fo9ffAq1i1OSzYk2Jdhhpmwr2yZXElrc+iSspILNQYjav+ej8MNX2D23AYVaJNuaXVx4TtjH79Ux3b1AvmNItmofN8Uv5aUq2hZB0Y5PtM0OO+6Z/AedwKpw+zFr1WYElInW1rlZ6NGlE3p064IunbuiRZu2eH3sB/jwo48pZ4DNiRDMcBPrOBkfKQljf5n0BVr0GoA6bxBFRUUoKylGVXEhagryYsZIJMTC1bo3bFld2RjJ4qCqNiHYhGjTMSRJJsgnmcUQwxjXMXcea/cTk0iweS37mNrYgmqtU67FWtqcoDN3TcWCcdRtktrnLCS0JeFDJjbWpa9jJD8n1Ymp959A14c00SZxd9+uKaSxOmrSlUY+klg7uimIl1isKdhbuzixfG9YPAfrFs7CxkVzUFdZBrsrEe0P64f0lm2R074L+p16LpyJKcK59Rlf2XasWi4mmNEGO2LyMzYQImRj9qSP6Tl2bViN/C3raQNp1/0w9D/2RBx98hlo26krvLWkwwmgQ+euyiCVD1bNcYm1RrD1GcbLS0tw7TVX44vPPkM2sT0Z4rD1qraYZZzHFGskkNjl73j5A/Tr0h7Xn3W8gWQrDVxZm1Jz4DzxUkboDiIQ61x5rVc/kDWbkL8zD7ffeguefvIJDBrYX3MMcNItKtpErVNjTuNkIlefMyjahHCrSXMYgVAJpwoxRwDPoKzMVgpE2x+J4rdl66m1lmRuLq6oRlKCC0cf3gud2rdFz25dcPlF5yOVlKYgCatsDoz7YhLSs3Mw7MzhCNBkV1E1VpvGIAXCqFc6EhKvXa90KCROuyBvB5ZP/QQ9LnkAHl8IPl8Q9UW7UbTgWzor6y3egkBFHm0X1tTWsGV3gyWrG0z2ZDrApLO11EauTTrw+D01hpu0S96BiFDmISLE7kdiaat3IlJXAJPFDnOL/ggX/k0zmZuT2wJ2FyNzVheRWlj26XgXgqqC60RsqrmIdz7y3JG9O2LWJw/B6bDhYALpF35YV0z/XHLf8dVUoWx3HuoqSnHc6WerJNthULfJtpaPgkwYKmWIEMHXX3yOKVOm4Nmnn0T/Pr202O0YK3mctRpqwSb91MkpEr+mhl2IE1QMvoAfMxavxrS/VuK3v1ejuLIGSS4nBvXuhk5tWqBnx3a4/OxTkJ6WxmKwhWSGZJJKjMvmBJslRrPSMmcXXno53n//A7Rs3cagHjK7bigcRV7eDnz47lv08eoVy7Bx7RpqKe9xWB8cc9KpOPH04ejQuQsSEpPjqNha/8L7Hq0PEOsis9+ptqoSN426AVMnfqV8t5plnBMImmmcKNreenw4eRr9/q889nBEPG5KstkiEm0/nv5rNU7NzEQPSwL83iACnhD8vhBNikcyVAciUWofv/DXr2i848EEopJG8lax+3Sc+3HsTUQfHxlDrONkIVcJN31ey8PRuMKtkGwet20y09CGR594kr7Fk8+MponEuIpNwoBm/j4Dv/06HbP/+J3awRMSk3D4wCPRqm17tOvSHSefexHsicnUTu7xB/HOE/fgxIuvRssuh9HfmfSRhFyTjOP0cTBMJ1rIhAuL8w4jFGLZzEOhCGsPYbYm17y3vAiF876hbdlduAXuom203Sa07Iz07oOQ3XsoElu0gzOBkGwt8ZqDkmxiF2dx1pRsK+tgTQWqCnYgN7cF2nXogNTEBDhp2S5iFycWccUuTl2DwE9Tv8XPP3yPj997h8aTsvbBS3ixzOI0rMLvxSdTfsHarXl48aqzWUw2sYuTBIGBICJk4QQ7pGRUV8i2rVV7tLr9CVpD/GCCb+c27HrpUVoKULX/N0K2RdU6Rs1W9sWo2QRiwgoICWINa30JMW4dF0p4cbu4kuyMPw6aTJizoxC/b9qJ39ZvR0W9F0lOOwb16ISOpF/o0hFXnHcm0nNyYXImImJLQNTmQsTqxIiRV2Li5G8RiJppGyBZx6kYESBiBMlnE8LuwmK4Q1GE7EmodgdorHa9NwiPNwSPNwifN4i6kt0oXTgFoWAQ9VsXIErCFcgYKa0NHSPZcnqwaiykffO8BkYxRoRq4xNDDXlSNSUuOw7RVlXtOPWyeSI0VpbWhGDZFtSun4HsY6+jseO2JH0ctjqvLfw+h7dPx4TbjoGDNL5DkWi7AyF8s7qQXhhGy3VDEElnU7C3VvN4aMguTm7g21ctwZIZ32HlzJ8R8HmR274zegw+ET0GHY/2vQdQC5SulIrRnaJmVW9YzRcHPayuNc8gru0XiRnPzOypqcaGv+dizYI/seav2airrqJ1JQceexJue/w5tGnXniUUUuMezUK9bYMtUCTbJsDrcePyS0fi5TFj0LN7F71CFK+cl27wGqZZZrnFmVjrRz33Lk4ccBiuOHWIRgLV2EjBsqko25Z2PeEcch4OFoSIC6LaQ6+FeN8/KQd38yhSx/QSnH/ucOX7ZpZXMXY75rtWYrWJjZzbyqMNEgeDWteIqqsbrBELD0xYuDEPX/35N76Zs4TGC/Vo3xpnDBmIM4YeiSEDD6cKAZmBZeW9WJ1jtnbi71VrMf33mbQOcCAMLbN0OKoQ7ZBAtpU1SYzmDdLlj3efRJtjRsCa2wV+fwhBuoTZOhCmRM2dtwSencvhK1qLaMBNCYu91eGwtx0E2BPpJASNSaKxSULsOp8Go0w7HuU1mqiEuNeQD9FAPct4TSyzNXl0JtnS6ghEStchGiCx361hyeqhO4/iGafvyazmxtlF7b1GnjkYnz13Iw4WkEmUL1bshjcYZpmFFbWaXL8/ffwm3DVVuOXJl+hA1q4MZJkdkztzNFeOaCcn7YrYUR979BG0zM3BYw89gASaSZgnSdMnbtTCXOIp2nyCig8+tAkqMqBfsHoTvvx1LibNXAiPz6+0hQE4fchADDm8JxwOYntlFnLVAUIfC1nGBVKtVR1gj8NRE666YRSuuvoaHH/iSWqSM51NN46SSMh2ZUUl5s2eiXkzf8PC2TNRXVVJwzOGXzgS19x6F1q3ZTGerHwXqzahi8tuoF8g22PffgudO3bAOWcMU2KzFbs4L+dFiYSPxpz662pw9n1j8MOj1wE+H02Cxkk2WQfq/JRsr95diklbduG+dh0RcDMlm5Jsf5glTVTsx8FoFN0uPhvnjnsNBwuoNXLHcoCX24lHtBuBrpqE0VIu5t3g5Fok3EZ1uwGyrWbCp4SbLdNn/Ia33n4Hz78wBlU1NZj49VeY+u1keDwedO3WHScOOw3HnzwMhx8xiIbKsVJfJF5bSI6mkG2y/uKN53HKFTfBlphKibWfOhnCCFDyTQg2W8i+YEgpGUaJtkK2lXYgJr0i3yRRuas2L0XlxkWo3LgEIXcNzFY72gw+Az3PugrpLdpQpx4h1U4lNpvWvlaI9pKfJ2H1vN9x+e0PoWffvnBRcq3ZxPlEIJ0MJO3jzddRuDsfr774HGwkIzwh2LR9MEWbxGQzJduDyTNmY8ailRh70/lAIIgwbTd+RrL9QYQDrJ9SCTYh22GNbCcOGIJW192FgwWhmirsfP4BhKoUN5nqJOIKtdFCLpBoA9Hmyb306wbeWFSwjWujok0zjROCaGbZxKltnBFsWC1YVliGqWu344c1W+EJhtCtRSa9Zp/8v9Nw3tCBcKakwuRKpOSaLq5EwJFISTbJV1DrDWHUXffi408/U4m2TyDalGz7Q5g/cwYKC3ajz2kXo8pDSqISoh2CxxeEm9w/ybiIlEL1E5ErjJqtS1C7aS4cLQ+DN38FfIXaGMnRpj+cHYfC7ExV3X+aENPAVybcV0zG+Gyjoh2HYItWcdK/hqp30+/Ts30RUnufDltKdlwOKLqyuK2f8KWzj2iDMSP745Aj2uTG9926IhTVKTNTBoWYruO8TkvQsqe84/rQpaZazePBaBf3uuvw9/QpmDdlAsp370RiWgYSktOQ3bYjrn3hAx0p15UlE0i1em52UEw8uDA5pKoKLBGNvuQWv6CoahM3LptZwkmZj9fuHYVl8/6g9SFJrOtRQ0/EJdeOwjEnnEJneziJ5pnLjfZxHoNHZlGvvfpK3HbLzTh28CChXJdI9DT1WrSQq9nFCfELBVFfV4ern3oDV54+FMMHH64n2dzWTAe5ZFpcUBwjEdj7nwxH72NxoINcIySrMrnhqqVQDI4C8t2T7+TB++9F2zZtcN/dd7DatLxcDifdosLNLfpUzVbi4LmLQI3XJt+pIQu5oOrG1rwTL1Izar1+fDlrCd6bNhfbisqQlZqEjJQkdG3TElPG3M9Kj9lsSjI0pbQSyTrOSTapDWxzwh8x4dKrrsUXX0+i6hQn22SQRTOPB8J04WSbdig+ZiUn67KSUtTU1SOamEUH4KQDCQQ0oh3yh6lrgi4+Lyr/+hT+wjWIhgP0e7JmdoatzRGwpLaj1xgj3FytFOxSumRxUU3d137MGPuMdvfQJvz4HYKeI1CPaJAoGHUwZXSCyWTRzqjwe7Khmy6kn0G7wT1/50W47+ozcKCDJEcav2QXiup8upwS4oQgSR7pI66coB+9BxwhEG2mcqvZyPlrubqtVl8AZvwyDe+++zbuufMOnHbSCUx9jRorJfDJJ6F2vVCLXkskyB7X1tZjws9/4N1vpmHb7iJkp6UgPSUZ3dq3wpSXH1Hq0Gv2W+YCIY2cEGo2sNBUbIuBZLO69GQdMZlx/8OPoe/hh2PkZVco9bIVm26kYZItkm0ep03COEY/cAfm/T6DTnj6/T4MPv4kjLyO9QtkooPWyaYuYnZv4v2ASLBpH4EoRpx7Dn6cOhk28ql0arZfr9b53Ph4yi8wh4O4bHBfhNxKpnFCsDnRJqXcan24c95S3NuxM1ICgN8dhI8QbD/LOs2JdkAh2uTecfKzD+C4+0bhQAe5/0Z2rgI8tTHJKZUDmnYihVg3Trr1RFsj3AaCLV7DlFTz2tuium2h9+KxH3yEV197DW63G1lZWUhLz0CXLl3w2dffsJraSm1tcQkI9bXpRGuITbhuWL0CX7z+HC659ylktevCiDV9XljzhdbmZmSbq9nk3KqQYwjroINx8ndFQlgxYQyKVs1DOEDyd/jR9vAhGHD2Zeh+1FC47DZKtO3mKNbN/RWZWVl0Uqpdx46MiBOHjUqy9QSb9M2PPXQ/OrZvh3vvuJVe9yrJpi4PZhlnuQs8mDF3ESZMn4OPb/8/WEgMOlGyCckW1Wwemx0iWbbDcZXt7AuuQNbwC3Ggg4xhdr3yBHzbhfKWfJwdV9mOR8T1Cncs0TaGZShb6ryUaB+PE5utlvyyaLZxqwXuSART1+/A+OUbkVdZi8xEF9ITnOjSIhMnHNaJZrC/4QxCZJ2UXJtdCXQNQrQdCYCDqdlknLRxx258POELPP3cCwairRcj8nbuwvefvIPTb3sCNZRoB1GvkGyyDigiBFmHgmRsFIavqgTBmlJETBaYEzJR9den8BWsZuPFSBC2nO5wdRgCa3YXjdAIYbPqNyfcXzTCbdLUbLX/E2to821xbUb9xllw71iMlF4nIaXbcWpcvPo7CPdE8fbISLYyUayUXLv7zJ645rhOOKSI9qytZVhfWq9Xiw0lspRdMdgTZTaWwfonajYH+RwkxmHWxI/x9y9TEPT7cPiJZ2DIuZcis3V7TPvgZRx5+vno3P9o3Wc2Em12LsEmr/6ResWcXaua7V3L+BqravOBkJFkk2O0Ejhm5G9ah/SsTKSnpmHB79Pw3YSPsWntKrTv1AWXXTcKF156Bc0cLtrHRWsgPTdJyHH3XRh67LG4+IIRWs1NY7wwJ3qCrVktm6PYxmtqanDlE6/hrovPwPF9u8ePHVbJNVOzNaLNbqIJJ18GW7vuOJCRX+VBjS+oSzJkNsZAKmTbhAjee+dtbN60CW+8+hK1tDELLCfYfB2Ok1FZiInXfc/671tLjMZVOo1Yqp+5rApv/fAnPp+5mCZvO//YAbjhrOPRuXUuHh//Pa44/TiccERfPdEmyWtI7WKbQrAVVZvXOx5x8aX44uuJlEyQHEeMaEcp0SYztqS0S32QEW43V7YVol3vC2Hrir9QmrcNLYecS8m2nxBtkqWZdCqEbAeZCkDWzHIXRMhXD8/OpfBunY1QTQHtYOxtj4A1h2UxpnZyaqsXkoGoSrcASogFMhxf8uZpzpjqrSY7o5HeiJRvBLxVsLQ7Bns4iZokjZLwqAkWiwnfvXEnzhjaFwcyJq8qwPLdNVpJQpVoM9LNYrLNtL78Vy8/ifZde+DiG2+ng1tR1dbyTohkUAh/QZROmL74wvMoLSnBy2Oeo8nIYom2UIZQzTPBJl+4gr2roBCvf/oNPvthBrx+Py445ViMuvAsdG7TAo++/RmuPPtknHDk4epsvhZyoVjiOEFRyLVKsmMUbVZL++XXiQ0cuPf++xWCbWI28aaQbIXgkOuQk27erEks9+zpP2HyZx9j45qVtF+49LpRuGDkFXC5nLoEaJxsq9+vKYqF8+Ziwfx5ePzB+xrINM5IBFmC9TUYft8YfP/wNTD5/UryM06wFet4XQCztxdgRXElrsppRROgkdhsWuKJlP4j9mGiZhuIdthkxtXffYReZ56IAxmRwk2IVhfHkuxoA+t40M3Yi4PeRtRtIQt5TDbyOHZytZ672YKdBUV4c+yHmPDV1zRZ33kjRiArOxtbt26leRauveFGHDP0eFVlDilkm5FhIBiJCGW/xNJfEVp9gmx/+95r6HfSGWjZpTcl1PwYomTT64DYxhWiHRIUbT3R1r4e2tcq4yZ6v7GYEfF7kff3TKyY9hWt7JLVpiOGnncZjhsxEuOfvAN9Bx+H0y+6DKlJidRZY0x0pt6DzEB1RSnuuu0WXH7p/+GCs8+CmU6KBxQVm5e68yKqlPGav2QFXv/6Z3x29xWwE3cVicvmJJvGZpN8NloSNE6yo6EIVbg5+abrMNDhvieQMuAoHMgoGv8OahfOMuzVxtEa2eYKtp5kq4q2Sqz5cw0RbUG5FrZZrLFG4nimcUaw2f2dK9pFHh8+WbkJ367ZBl8ohOG9O+PqIX3RqUUmnpu+EEd3bYff1m7DpAevgYWQbIcTZqpkM6JtcrgoyYadEG1SEtWFPxYsxqq1GzDqttsRiJiV0Bk2RlKJNsln4w9i7YrlyOx8mFoKlSjaZLxExkp+UYAIaou/phxlcz+CPbsLEnsMo87TcMgP765lcG+ehVDVLliScuDqPBTOdkcxN1a8+0+cpGgQreNKQjQWdig8jobh271CIdenwJndAVZXGnULqMnVDL9NTBI7rmaLqjZt1ya8ccUROLZb9qFBtFcV1WBBXhXr5OPZsoVY7X35cHtrL98TqsuK8ceE9/DXT5PgTEzC4HNGYsiIS5Ga3UL7yA3Y3kWirTs2XvIF498hEOx41nF9PdNYki2W9Prtm8/QZ+Ag9OjVW80uTo5bt/xvTPr0Q8z85Udk57bAzXfdi0suvwouh11Vg8S63M8+/RQyM9Nx5623GBIKxaqpMXZxJRM2GYQVFpfh2mfexFPXnI8ju3fUET+WZZzbxplyxGojcsWV24QiNDlQynm3wpJ+YJb9Kq71obDWF5dk6wa2wkQKUeR+mfYTvpjwGT7+4H1kpCSrinZMRmXxdxDVbaNzQJdROQ7hVjovklX55cm/4dPfFiLF5cR1ZwzFDWceh9Y56UqJBabQkVldFm+qJ9qUbNs0kk3WUEj3a++8h67de+CkYafTZDe87AuZtSUztpRsc6JNE6SFlIUR7lpPAL+//gDan3AREtr1VjsT2qFQok2WCMLKjD/JGM3KoxCl2wd/ySZ4ts5GoGgtTI4kODocC2vuYbTxiuXAmNLNYtp5tloxi3jD0Gh2g0cQVduRrB7dpKAXhXCTzPTzJzyGHh1b4kDE7K3l+GFtkTqhyBM40mRElHQrCdAUUk327Vq/gqpKqampSE5MpM9rihKvoqARQnHykJcnXLNqBR5/9FGaB2H46acakjcaqiXQiRayHUFBUTHGjB2Hj7/5ASmJibjxknMw6uKzaWIzXUI0Dh3RVtRsgaSw0kmaMhhDts1WfPjpeGzZth3PPz8GEZMppmRSvMRTXOnmSra4FvtZ0sTp5C2iWLvsb0wa/wFm/fITsnJbYNSd9+KiS6+k/YKaWFN1TLGSXvffczct79i9U/s9ZBqvxw8z52Pbzt24fdgROrs4X4iq7a/z49Y5y/BE566w+yLMNu4Owk3uB8RWTKzCCtEmS1BY1joCeG3GZPQ7jk9aHYAZxku2xbGLq4MNLbRnL5VtvWXcQLp1CdBES3mc7OPCdkFJKca89T7GfTERKclJuP6aq3DjddehVZs29FresGkzHnzoYZw1/GxcefU19LWcaHPF2ahwazW2GXnm20UFu/H9p2PRttth6DXkRNgSkhAx2xQVWyHYlGwr51XINhM9+T1YGyNqk9nsHsPJNlWiIyFsWDATP3/4CsoLdiEtOxcX3nAHzrzociQlOAWbuKHsoLJeu3IFnn7iUbz60hj06dFVN/FE24bi9CDEntjGV67bgMfe/wpf3HsFEojILpJsH1G2eQI0LTZbVbFVGzkh2YR0szXJDdLyseeQ2+swHIio/P0nlE3+tPGDYoi13rkQQ7obWOsQ1yqukTde0ou0F7UknMWMEq8f7y/dgElrttKs81cc0RNXDe6D1llpND6bJIl9b85yLN9ZREsa5mRmUrcfKX9KSLaZEm1GsGleFztTs8ny1dSfqOI84sKLqaJNiDbJZUPuhczxx1XtMKZPHI/ep5wPT9hELedclCAuwEC8cVEwjHCI5DYIw1uyHZbELJTNfpcq2sm9zoAlORfBqgI6RvLmL6NW8qRep1OVm5Jk8XsT7jMm4T7D+z+x/nWgMh/e3SsQdlcg85ir4d48F0mdB8GWlM7UaJrLhmfB5onWVI0iJq+V1raF0muEJ1lMSE6wY/z1g9AhKxEHNdHeXe3FL5tK1GQtmtqrV7CNNvK9gVHR3ld46mrx2/h3MP+7z2kN65NG3oBjz78CjoTEGBVebxfnZ4gfe627OBqLCzFYxuNZx3kcnb7ONSfdrKRXRcEufPLi43jmvc+p9Uks48WX/O3b8P7rL+KnqZPRqnUb3P/I47jokv+jiUB4bdT3x75La1o++dgj1GbJkwmJGa9ZmZw4dnFByd68Yydue/F9vH3XVejSMlsX/6iRbUVJ5Aq2QrK1+oja2pScgbSL74TZ6cKBBJKgYmNpPZ3IYKRaHwMZz8LPyQLZv2LZUpogjSjcHUlG8ihX34Jxy6tRRVtVuEU1O9ZFoItDjURRVVePMV9Pwwc/z0Gi04G7zj8VN519PE1yRsBItnKxKhkj6dpqo2QbZG3XSn0RRZuQb1HZLiirxEOPPoEPPh6HYJQQbaZqUHsoUbAUZZuQbKJq8Y7FrRBu0omQuq4VRQWwpOQgELWqRDuokmzSobAMmnQgEg7TEl+hQICW0iMqd6BqN9wbZsBfsJJm5HR0PgGW7J5qmTlKtnnyODVpmt5Wvkei3ZBYHfQiUroG5tZMgYh/C2vgxQC6tMvFwi8eR1pyAg4krC+uxdgFO+i2dj/jqqlmIaf2cVG9tpqwY/US/DzuHdz+3BvIzWmhqttkzTOR87XqDtGVMCTOZh+eH/0MqqoqMebZ0UhPTRLubwLJjoRRU12F5954D+9NmIjEBBfuveFy3Hr5hUhyOZSQC7Un0K14QhiVyAj1iLVYV6tWOkkg2YR8fz15CubNX4g3336bEhWuXIcaKKEkkmz2WFO7yUfSLOQa0eb9Bu9DCvK24aM3XsYv301Gy1ZtcPfDj+H8iy6hGZj590i+W1Kn/Lxzz8G076foM40rSdBopnFSD9jLSnpd9MjLePfGC5BmiarlvFQ1u46sfZi/oxh/F5Xj6uxW8BGSrWQa50Sb3A84ySZKdpBksw5H8Hu0HJmw44QuffHwkh+QkJaKAwnR+kpEdq1p2C5uJNkNhfbEQLCNqwNXPfnmpXh0ydLo9conhPTx29W19XjurQ/w3mdfITEhAffccgNuvu4aJKWkqFnJ+eQRIb/vf/QxZvz2Ox559DH0GzCQXn8a2WbXKSPHTN3msdt0W7CV833L5s/GzxM+QIv2nXHBXU/QLP4ktCKskuyo0ibY9c+vc+6gJ/ca7b5ggre6AumZmRj3+G10cvWok8/EYUcNocoemeCb8sEbmDPtO+S0bI0b730Ewy+4mNrGtVKDyuQTIvjsk48wb+4cjH3rdWSlJSt2cSGUgmcXp0q2F5u3bsftr32Cz++9Emk2MyIkbwEp5UWJNiHZxJFFLONsgpiR64hKsqmFnBNthWRHQlH8lFeAvAjw4YJFsCWzSdwDBe71K7H77WdZ1ZkGE2/xJqBZR7U4fM06qiPV9HBN7NIRbbWZaDZlVdFWSDZNZMrVbIVk1wdDeGfJOny+cjMS7DbcNLgvrh3SB8mJLrV+donHh3sn/oYzBvTEtaceDYuDCxAstI6q2Q6FaNsIyWZKNifab384Dl179MKxJ5xMx0icaPPwOtHx9+1Hb6NF977I7XmEGmJH1Gyy9geYCEEINyXXhGST8REdE5Ga5Kwfo/XJiasiGICnYB1q1/9Bx4xpAy5BxfwPESjfDrMrDan9zoOrXX+YbS6FdLPvjowhTRYrgrUliHhr6bbFlYLqFVMR8buRceTFiAQ8NC+Cs0U3WMj3wN26avm0eJxOSRYrTqSoz7DsnZxsU2FScR0Qsk1I9sdXH4lkp+3gJNrE6kUyjJPBshJSoUsE1lDprH2BMXRyb0CS2RB7+M/vv0SziZ902Q04/qKrad1qo71dHKgYFevG/gaRjDf0FzSVZPOBEVeB9NZvE7asXoasnFy079BBUYI0ok06B24BJK/Zvnkj3njxeUz78XscOehovPjyKxjQvz8mfvUlli1ZjDdefYVm8I0l2RrZbswuvmrDFtz/5jiMe3gUWqYlK+qqXlXl2cW5VVy/ZgRbtY8ra3vnPkg9+xocKCBWuKX5VXQQoJIKY7KhuL+n+DxQkL+Lxso/8+QTOHJgfxa3bUiKJsbK86RP7Ls21NTmpFwg3KQs3ecz5uHxj7+FNxDAPReehltHnIyURFec7LbKWok3pWtKtImibdPV1KbxppRkC+q2xY6LL7sKb73zLpLSM1lCm4iWfZxm2AwayXaIdTCEbJOOhKw9Pvz+0p3ocdFdsKe3phlp6ewtIdnKwq8b0tZDgSBCxFJOEs6QkhbULhVEsGo36tf/gkDRGljS2sLV7TSYk3JUdVtVthVLOc/aztp+bLsWw7cbpMpk4Jk3C5Y2g2EiHW0jEMYFOpx38kBMeuVWHCgg2eOfmL6R/pZiaIxGtrXBMC3vRQg0t2gqpLo8fztWz5+J86+9hapLVNFWM/2y1+kIt1COSnXtAPh70UI8++yzNDzm1JOOF/JPkMFsAJ9/9Q0efe4leH0+3HfTtbj9mkuRQmrc098+DBOdeDH+heIILo49Vy2TRIgMI9VijDZ5PHHyVMz880+8O/Y9+pwal60QCVXZboBk61Vurd9S18r1yb9n0Q1Flh1bNmLsKy9gxs8/YOCRgzD6xVfQv39/ej8i3+mWjevx6bhP8OoLz8JM8h5QQsHssTQ2m9cF9rqxbfsOvPDZdxh7wwglAZoHwTpiFSdkm9TMZiW9bp+zDA906ASXPwqfNwSfJwivLwQPCSchRJskTKSJ0FjWcULC/oxWIgt2dEcS/db7X3AGRn37Hg6o5GfblrB+URwj6GziRpItqndNIdrKtiGeUkxuqZs4Va9RzTpOrqHxU37Goy++Ba/PT9vCbTdcjZSUVIWMK9ewYC2nidLMZpSUV2L0s8/R/ACPPv4Eclq00l2rnGiLyrZe6dZIN7WIR6Io2p1Pyx29ft8NNAHtsSP+D6279IK7rg4p2S1gsTt040wW3xmFt76Gtu3CresxZ/JnSM3IwqgnXoTL4aDtgA/UNZXajN3bN2PcGy9i1i8/ot8Rg/DkCy+hXz/SFtgxJOHig/fchSGDB7NygogwuzidfAoAYW4XJ5NPJGeBF1u35+GWlz/EJ3ddjtwEu6Zke7llXCHZJAGaUcUm4yJKrGNJ9tTt+VhfVYv7enRF1jHHodtTz+BAQaiuBjufuRvh2hp9HDCPz6Xb8TNi6YizKGqp5Tv5cwIB5w6ymMRnQiZtXVw2U2SjZhOmrN+Bl+evpBZxQrCvH9KXOszErOPztxfgtV//wuvXnEvzdpAkaXq3n50p2g4XJdukGgsj2iSnDVs/8dxLOGfEeejR+3AEokp4HSfafEykOP82rF2N1YvmY+CIq9jYiI+PSGWWgFIaUVG0+biIkmxSyiss3FdI/0CuKbpfExbc+WvgLd4Mz66V1A1IRAky3so4aiSt8uLZtYqOA3NOvRvVy7+jJNuZ2w3O3C70/mZNSNHs4JxUq9uCc0BwJ7PfQhA5Res/hyk2GZpZLb9GssGbcFKPHIw+l4UHHnRE+4+tZcir9KgE2zib/k/s4s2Fwq0bMfHFR7BrwyoMHHYuzrnlQaRmxa/NyWZJmTKwJ7v4vmBPdnGx1JcuLpsTNLMJq+bPokk7evYdoCYL0iyVoo1STL5lwqL5c/HIA/di08aNOP74E5CTnYVPPvoANnKdx7Elq/ZxheTFs4v/vnAZ3vz6B0qySUIIngVbU7KVpGecwCgdiGobF4i2SLJZzGwUKcOvhqvnABwIWFVYg3J3wGD71zsSxN9Di43kVnKNjNfX1WLUDdfh2quuwvAzTtPHa6vJ0uJZ+uNkdxfU7dVbtuOWlz7Ckg3b8H8nD8Zz11+EVllpe/zbxLhTXqrIpCPado1ok7rASox2xGrHjJlzsGjpMjzw8GNKUjQtVo90KpxoizZytmYdCFG33f4wyoqLsODDp9Hv+ucQMdsR4J0J6UgI0VY6XMKPAmR2lyZLI7FvQWUJqDUkfcUbUbfqW4TrSmn8tqvLSWzQSKzkqqWck27Fbr+nQW+8pGnKrkh9MUwWF0yu1JhjdS8T2bqBuX/54k24aNiBEZf39txtWJpfrVnG+Sy00Db4whVt0UIuWsl//OgNHHfGuejUrbsQM8njtbkFPbYdaQQTNFEksUF37dwZ9951O51YXLN6NW65814sWb4CIy8YgRceux+tcrMVcq3Fa+vSnnKQgb0yjNNGDBqRYaRETCjF4rS5Xfyb776nKuB7739ABytcveZ2W5VsG2zjIsnWx27r47PpY6Xfou4BXTI5wX5vMmHJX/PxzMP3Ycumjbji6mvx9DPPIj09BV9+Nh7pyUk47+wzKNFWlTsl/hQBUs7LQ7ONP/fxRAzp1hZDOrZE2M2INiXZlGyzTOMbCssxactO3NGqPfz1QXhpxtwQPP4QJdiEaPs40VYU7ZWRWngRwQCkKF88+66vn/QOjrh4OA4EhHetRbSuLPaJBpVswUmjU7+bOvoQ1W0e2qBPjsYIhla+cfWmrRj16BgsWbUOl557Bl545C60atEyJl7baDfn1zNbm7Fy9VqMefFFtG7dBnfccw+yclrowh8Y6dZf3yGDws3IN4vrZu6OKDxuL7xeD4p352HB9B9QWVKEy+5/Gr99/SkKt29GZqu2OO+me/DxE3fDlZSMk8+/FJ179aH5aRKcdjXsRPyGxKSMvH0s+2s+Rj9yv9oWnnz6Gcyb8yfGf/Ixxjw3Gocf1pOOh1SHhzABJdrFd+7Kxw0vvIeP7rgUrZKcLPEZJdoBhAjR9hG3VUiNzebJzviYiJIfTq4Fkj19ZyGWllfiwR7dqKpFyFO3J55C1kkn4UBA4UevoH7FIiXJGe/8uHVYn5hMj4ZKdhkIuLpb6KtVUsevfVHZ1oggnYyymLCpohYP/7YIq4rKcV7vznhk2CC0ykhRM42TtSccxuif5tE2MPryM5BCQv3IeIiXclRcf5RoU5LNFkq0KcF2qET7tnsfxD333o/sVm2og4eIEFp4HRkL6cdH5RVVCFqcLFmaXxsjkbrzpP48KY9HBQjF7Uc4jZqZX/g6VaWbOra07P08ZNaTvwYlsz+iNvDUPqche8iVsJD48kaduiZBeTbYvfk2j4sXJgWNLgVj3gV6lEDWCbEm1n62Zr+fxWrGU2f1wgn/o3jt/xnR3l7pxuxtFQLB1sg2gZFwG333/zbCoRBmfvUhfh33FnLadcRF9z6DzocfGfdY/rlYYhlm1RNn3PY1rty4o6EEaGLGcbXkikjQFDWCEIBnb74MT783AUlJifpBpxiXZFR2eHbxYBD33Hk7Jk6ciJYtWuDDsW/jxKHHCDHZBsWUdiqEeGgJuLiS/cVPf2D6wqX48L7raFyTWt85Rs1WEk7RGTQj2Y7EJdj8MUkgkX3jY7Ak8oHW/onCGi9WFdXqJkmMhFuztsa3jeu2TSaaTfvuO2/HgP79cPMN1zHHQbQRki0QcE3JZup2yO/HKxMmY/RHk9CtXUu8efe1OLZvdyU+VW9jVGMIhUFeg0Rbjdcm+4iSzdeaoh02WXHuRZfgk/ETkJCcqmah5TO3tEMhMURCp+LlhJvayNnaQxKC+Pyoq6zEup8+RefhN8JkcbDJMTorqyh5ZJCuWKhYhnKibhOiHaL3BGIlp+ugH+4ts+Fe9wtMdhcSep8Ha1pbPdEWMpXHtZXvUXHiX2UU0brdMKW03WOdbfUx/eLZP+S9stOTsXLKs8jJ2L/bwl87KvHu/O102+jeEe3jFrNZvV9RdToe0baY4a0ux0eP34mbnhhDk3mJk4tq/CQljxrRtsaZyCLdOcl/sHDhAnTr0gWvvv4GXb/5yvMYOuhIzU6uKNlkbaK/Q0QlL8Ria2roNycEm2d7VhNMcTLDSDYhLd9+/yN+mT4D773/Pi2DJJbx0izjjITwRGcxKneMoq2Qa+V4RrzZfpFMGEum8YXc37/89GO8/PxopKenY+x7H+DH76bgvrvuQIfWLQwlvYRM4143Ip46nHXfGHz30DWIer0IeQQ1m66Jou3Hc4tX46yMbLSN2uGvD9D2TEg2aeeEYHsjzOXCSfbOsBdrUIeTkBUz+5SUlYEn1v2GlBzy3P6LSHUJIrvXxX+yqSRbdz9W9gmrGMQo2jxpUazKTa6hl8dNxDPvforuHdvh7afux9CjBhquX2P8tubeYEn9lAkkZVKJHPfX4r/x6muvU8fdTTffitbt2uuy6IeEcAhR5VZjuxWCzY8RE/9pk0h6EUeN41RINLsvCPcUZXDP5yBEMUOcoCP3/M/HfYQXRj9Nz3/eeSPwzuuvUjs5meimRJsr2dwyThMDkjbhQ0FBIa559h2MvfX/0D4tUcguzgh2iJBsEpfNk59R2zhPgKYQbNLfGEj2vMJS/LK7CE8e1hNmhWRHw1FYUlIx4PMJsGdkYH9G3fKFKPn0TaHmtZ4Ms5WeDMfASKjj5c1QHnIaJGbm15el0ic/CwH4cMl6vDFvJTplpeL54UMxuHNraiFn2cbJmMeCv3cW44Wf5uG+c0/ASQN6wkxjse1aSUeyFkk3idNWFpq/ho+NqKrtwOXXjcJb746FzZnIiDYfFxGHj5Igko+LiLL97fuvo03vgWjRcyAdG1EhIsCINimR51OINl9Ee71YFpn2FfRaU8IwBELO5pfJ9RVCxYppKJn3BSyuJLQ+/U4ktT9c+KL5byXEWQuJy3T2fGFbm58Waraot8H4kyciSWdqtllVtUnOF9LmMxLteH/kAKS5bAcH0SY//vfriuggWUxIwcm23uVhKPX1b384AKW7tuPz0fdi18Y1OOWyUTj92jtgI6WI4kC0t9OLj2e0FP4efnk2NUZcc97qXyBaxxuMyxZVH5GEkfi6bZvpDO5JZ41gChBRdJSBk5jQxrjNid1v06fhm0kT8cSjj+C2O+7EvPkLcMsN1+L5xx5CgsOiLyMlEm01uzUp4xXAKxOmIL+oBK/efClVh5iKLRynKNYq0VbisflMrZr4LByfYItWcmePfsi85GbsryAlvEjGfTJTr5tEMYQAiANbnePA4D7Qsiizub6XX3wBtdXVePH50fT3jJcJXozb1sVwh8PYtC0PVz/yApat34L7rrwAj193MR188HJGug6P11NUFVyyM9oI0WYlikwi0VbjtLX1tN9mYeXqNbjngYdo9nGtvirvUMLUKqVbK7YpvqYD80CIdiZ5KxZg7U/jceSo57Fz4TQE3bVIyG6DFocfj6LV85Da7ShELAm01MX/c/cdcFJU2den0+TIJHIaco5KlGwgiCIKYsIACgqogDmhAqKCCohZQYKgogIiCoIgEiTnnMMMA5PzdPx+96V6VdOgu6u7/r/Sonp6erqrK7x3zz3nnusu88DDVgLaVLdETDgx17w9mjs/HXlb5sKTeRxhNdsjrG5PduSZhI/139baggk5eTDgfXkBOX/Oe3wlHLV6iWzu5V9nuJ2j3Gv+6RJyckId+91elmmXk7qcINn9IL0LLPJx2VubBcVyVTXbdhTnZHJmyuVCfFycAtty7JOlM1xGbpRlWJONJ48dwR1DbsehQ4dw/733YurrkxHmcgoWm+4bKRcXCShVn6+BFP1c6/JfE6Nt6UcsQMhnn8/H5q1bMX36DAayOSgODrKtTDZnu/UaVf47KRfXATj9fVFhEc6ePApvWSmatW3Hjg11NGBmT1qSQjeXO3/mNB5/ZARzGq9evTp2/r4BkSFODrQ9ktHmIBtCNr57/0HM/WEtJg6+TrX0IpCtM9p5ucUYu3EHptRpgLICNwPaRR4ujaQtKyOhsUCAbGK3vwtk4FokIYR1/RbHW+kIbGh5y/V48Ov38U9dSPnlO7qZe2iU+yX+PMi2JPTMidDLLHobHs0kTa/bPnImDUOffR3bDxzB+PtvxwsPD0UoeaLohn4KYJsZcaKteFsw3dxPlkaQ/z9POm3dvoOVRhBIGTHyETRp0dKUNKK4UTdMsz4fLHGkVBuWUj5OpvGxRkrC2djA4iS+tUZkMp7TW29eTE/Dpx9/iB3btrJWpdt37GCJ7knPPYmIEIdmCujm5RNuXptNQPvUmXMY/tr7mP7QrUhNjDXk4gSulcs4r83mXTJ4yy4JshngpvjHZwbZuy/lYPaxU3i1aSO4mJEnB9ls6/cjoWtXNH5tEv6pi68gD2enjIevoEDMnUbttWnRQbbmRs1/p/7RliuBCp3RNlhyJRfXmOxTOQV4dOmv2JOeiZGdW2Bsz6sQHkpxDbmNU8zjYGTAmys2IrukDK/d3Q9xcbEcYLtCGdhWhrF0H0jATVtRWmd0ZjG6shCzffOgO7Fg0SJ4YYeH1Hik6qGV4iBq9UUg2ysYbbcfp08ex7JPZ+LGxyfyuEiQEZLNpviIeR5Q73kKSrWjJnEG/SxxjgLbjN0WNdwWsFuafQGnl01F4em9SGp7I6p0vw92YufFOVG4yGJspoC2xkarc6DvmMakK5CvnVNbEOk4Y7EddtadhRsekjLOhk6pCRjXvR7+vwDa605k4nQOibqkVI2eDdJfmj9tkpD/3Xu385cfMH/ik4hJTMJdz01FrSZXbmqu75u6+ERmh0viZQZUu0D+pETc+nJ9MijHZtOAr7mMq2BUBKY+dymO7NqGtp26KKMOyerQ1uy+W96Jd9VPP2L+3M8x+5OPEO5ywu91Y9YHH+K5lyeifp1ULPpwOlKrVdLqsS3g2etGWUkxRk95H/WqVsSjA8nNl6TkxusY802mHiZpuMZiy2ytBNhi0A0GsOWAzCaSQQ8hsuk/Uza76VQ20gpKDTAhBhKVMBEAw5Bs6qzbZczRLIzcF/PnYc3qn/HBuzOYS7DtciDb0i948Q+rcP9TE1EpKQGfvjoe7ZrUV2Z0hjma1u5L9DZXAFwEeKo/sBVos8mETywEsOXKjNFUvXYIc5C96dbBePe99xGXmKxavRDgZvJx1juSZ2P5Y9Hux0sTiB8lTE7uZVv6mSYUei1NCMXUg7mAZMp2RCZVxZltq3F6yxpU7zYIIUm14EMoykqoz6RXOXFSDRMBbdkSjNpdFB1ajYK9S+GISkJ06yGwhcYYUnLNyM8sKdf6k//B4k3bCnt8KuzhV2YejAS9qDu0LP9kCfnrq4/g91M5xqSoT+4KbBtKHXWti1UH2qq9l6jfLsq+iNmvPIGnZ8xGRFioqc+2kpELptbwQxCMrs2G5Uu/xZiHRyClYkVMnjQZM2fOwIfvz0KNalVNxmhUk81afemARgcrbJFBCL93iPnmhlLS1VmaTAn3cbsDb01/F+fT0pm0lp7TJbXBQLYEGHqdq2T7FBDRpOKSBUw7cxrzZ76BlGo10WPgXfh+znvISj+H8VM/YI65EdQfmB1bo4+5boJGJpmffPA+nn7qSTRt3BgLZ3+I2lUrGq2LmDy2SLmNvzHna7SuUREdUyvDK1p66UCbnMZXHjmHtLxC9ItOZCCbpOOFVIMoVtk7WwLt/b5CFMOHxogJogCRM3IADyx69x8rIfed3oNAfhDJOK4EsoMw3QhizGhK7gVZLOBab8tD6+LVGzDs5XdQKbECnxdaNDZk5pqkXPkOaH4dputcstnW/vCWVmEnTp9mKoljx4/jzrvuwXU39Oa+BCpBZL7mOaAu76av94u3lvfpSW4eG3GATdfzup9XYvGiL1hPeXb0BXBPTk5B1WrV4fW4WW/w9LTzcDmdeOD++3FNx/aMqZ71/gc8RkqtjS8/eAu1q6TwVnfEYrtp5Uz2idNn8dDrH+K9hwehelwU/O4ytnK5uADapKxitdlmubgC2Uo2LoCP14/MolI8s2MvpjRrgkg6Zur3eskd0GjSK0i+lpLE/7wlY847KNqz1dTGtVxttcLS5Vln47krfUrwX5rNz8xMNl0sPxw6hbFLfkVKdASmD+qJNrWqiJZeJCV3sBaDszfsxo97jmFMn464tk0T4SguXMUJRBPQFv2jWTwkekez+4hUf4qAcJUD2zcPugNffPkVN34UQJuBbZOPjSEdp3Xv1s2o0qi1ICEscZEA2NKxn76w6GCm5l/6Wcc6VH7HyvAk0JbXlZLs87aoFzZ9hzMrP0F4UjXUu/1FhFWg8pIgXVesQNvq9m5ZDJB9+ZZ9fBgSmElIxiWTzUE2jxNoHdM1FVdVj8f/aaB9KqcYG05lmwxXFIhWQPqPQLf44S9cyOzou1mvY83CT9C6R18MeXoywiKCW77rn6ybyBgXn1+BbCm5YHl17SLRGadggFoH2spTSqtlsLbykoyPzoDqAemyzz9AcsVK6NH3ZlW/yC8sMaFY2AndgXfb75sx/e23MHf2JwhzuYSbtajb3bsHg+8fiaycXMye9ir6dO1gOFlrIDsrKxv3TXgH9/ftgj5XN1cMNwPWgh1kK5PeSqBtZGglg82ZQgHqLG7jSlakD8gkIY+IQpXHJ8ER9c+SzZ7OKcamMzkGoFCDWhCgbXFDNTPbl5e8SpO0db+swcwZ0/HxB+8hJTGBs25B5P4EGshx+ZnX3sLbn8zHbb174oNXxiMqjDsom1p+KcCtPS+Ati6P5s61YgK5DNC2MddxlyEfF5MKm2CcIdi0dScWLPoSU6a+xSYUo68ql4/z/pHSjZxPGHwVYFuAazKdo2wvbWmRCXDdE4JeV1rmxa5vP0FhThaqX3sfPD4Xq90mlpt6cROrzerkGLvN2YWyzJPI2fAB/O4iRLccBGdi3fIycvWzGXCbA2F50xsjTYDq+WwuIeMMphbnT6in2HvwcVQahtCbJsRFYvuiCaic/M+SCq4/nolpvxxjjw02u3xJDFPu6H1u9Xptnc0ut7Vh5+rluHDyKIaMGm+SQXNlj2GQpveEpvP7+isv4MNZM3HTgFswfeYs1q7o3JlTGPnQQ/jw/fdQgzn8yz7zAmxrS0Bvi6QrPeTfqJPJIwy9TRIFP8++NAExMXF46plnhPGUkIsHMT2z1rRKqa3JcVkw2joQke7N639cisq166FSrbrsfei4uosLkXXuDEIcATRt0QrhWgsjqnvX2W06ntSd49577saxY0eRnZ2Dz2a8ib7dOsLmFWZPpYWMzSagfcvTb+Lz0YPg9HgMt3EBtGklBvuZDTsxrHI1RLttKCWgXSSAtmjpxUC2YLTpO3wj2GyXlOxrChB9qv2nSsj9uRfgP7tPJQTKhzqaEqIcm305kG20ZDSUFpdbdO8AY+vx+vDsrHl454uluLVXZ3zw3ChWgsZBtnAilyCBKTOsCSb53uJeID8OIZVVgJt+Vmy4UHWQosNmR05eHmbP+RwrV/2MNm3b4vY77kKNWrUNZQdvm1wOUFsN/vR402Dr5JwL5jtDMu8v532OH5YtQfeuXXDPnUOQEB+njhu954WMSziXdh5hYeGIiopCQkICKsTGEF8vyrS4VHz3nr0YPOwRHiO9/gL6dG7LJOMcaJfi0LETGP3WZ/hg1O2oGhMBP3W8YHXZXCYuJeMkFdcN0BTIZoSFGWRTrOTx+DF+624MT62JVOqMw2IpAYYsQNsZE4OrvvoCIQn/rHmhaPdmXFowy0ykKKBtYd6CAGzV59oEtnUTQH3R2FTxfuUl4/w9aUydvGoLPtiwG/2b18Vbt/Vk7d04g21nJSxfbN6H77YfxN1d2+DWzq3gCg0tB7LJn4ZtVZsrLUnFAnqu+mNJKEZAUFxEcRIx3C4MGHwHvlhEQNtWjoBgcZFgtmVJHT3OzsnBqoWfofOQkTwuItk4xS8iLmKt8JixYEABa92IlO4VWWpEW9Y2j/5GgG0GvEXttuokJbYF549h35wX4CnOR8MhzyCxUYfLn3wNZBv9so1fKyGl2Bde+md8lv566VrOvouQjcvWfTrIpjihQkQInr+uAaJDnf/h1fs/AtoUwC4/lMGMjPTAVq/F/jOgmz37F5iLyaU4Pw8fPP0Qju/ehgGjnkG324b+Ifss903VuekZHroA5XeRrSP0INgiD78S0FZKGA1kX0lirEy0NBBG4OmNscPxwozPEEqtJyTIFoGRrFE0ATgB7tLPn8HDI0Zg4bzPmWuiyV1cgLO8nGzc99jTWLZqLV5+7EE8NWyIkIyTPMqDQydOYfTrH2Dyg4PRonZVVatNwFo9Fj0f6TnlnCmlUEIqbpaOB2evOfim406PDalcRNOrkHLPaPxTFhrgvj9wgTEw1nNsrdW2Mnh6vXZ5lttijiZBtw04fHA/nhg/HtPfmob6dVM1VttgtHOys3DbA49gw9admPLMYxh1922sVQ9j6RTI1phrVcuttwPzqoCOJZq0iePyQFsEXWoi0QzSBKt9z/3DMf6pp1G7XgPlMqsboym5lJg05ETDH4uJhMmieECu+xwYibyAqlWiCejI1vXIuZiB2EbXwOt3oJRaYZCMnFzJWQsM0X9b9OD2FuchZ9PHKEvbi4gG1yMstYu4Ti1GadbHUnJvAmlGKMjY8PO/w1Gtg7TRMs06cv8VpmYAT9SZaa/zF2agVWo8tvw4D/+UJbfEg4e/3IUCJhk3e1FYQTaLz1Vm3eJALt3HnUKtYwHbBA7dRQUIdTkRGxNTrl5bAm55LxXm5+CRe+/Ctt834fmXJ2L4iJHq3qP9OXfmNEaOeAhT33gdTRo2oIIBswEabMi4dAl79u7H3gMHUFBQgGpVq6F6tapo0bw5EivEGqZp4vUq/W6zM+fhR8c/gfvuvRf9+t8Ef4B9Qnlzs8u4jUs5rapbtRifqfZegQBOHj2C72a/j/uef90EyuXYQ6qPmU88hOenf4KUpEQGtsNddsZuq3lEAO7DB/bh6y8XYdyokXjgoRH4/sdVeHn8KDz90D3CBI2D7JK8HNwxYQYWPT6EsdlmE7QS9rgorwSPbdiJSbXrsZZeJUUetpUgmxzHS7X67OP+YlwIuNESsVrZlsFiB7Sfbf9AF3ImGT+8iXfrYE/gj8G2CWjzOTAoyNZMGf8oyjNiEv6A2jkOenYaNuw5hNceuRuPDOrDQAEHH4avAGf6JIttjoq5uEN7PTO+FKvdZZaRy2STqNtmwFsw4nQfbNqyFXPnL8CFCxno0asX+g8YgITE5CBstrkcUS9PLF9zzceWXVs3443Jr+K2WwZgyMCbEeoIsFZcJkWAyeiNl3qw8Ym8Geg1LE4SJqReN3Kzs3DfuBewbM1vmDDybjx5982snGLDjr2YNOdbfDB6CFIiQuF3lxoAW0nF+ZYBbWGCVp7JDpTbfnToOCqGhuGGiilGVw0BtM0rTe9+JHTrhmbTXsM/ZfEV5iP97WfhKywQ86ME25IttdwXVlCsJN6cfS4HtvVFV5xKgI0goN1uR15JGe6ftwJbTqXjpRs7Y3jX1rwO22FHVnEp5m3ci18OnsQd17TCrR1bIiScQLUwNyOAHRoGe0gYB9mi1al+DxlJV676UGaYIjaScVFGdi6efXECZs56XwFtjw/CNFbGPYLVFsy2VP7NevphXDP4ASTWbqQICLb6OFiWxs7WMi2GL8iXQwFo3kLRI4A2i8tYz3rxPqakLv8bT3EBdn8+ERf3/oa6/YYh9dq7y+MtjWTUXcatojB6P6XSUjXi4v5Wp9PsaUXgWrLZEmAb3Uu4Mq5VlTjc2aYa/q7l74PwAHak5bJJXIJOfrvwIDfAWBoeKapBUf5elrYxhka8Xvz+P12yL5zHjMfuRX7WJTz27nzUbfHHskp5Emlf5Bk39klLGJgUWvqZFxv5ncqLJ4xFy8Ap4G1ZeUAqglE5aYi+dfS4rLQEz8/4jGVwJEtq9Na2sOIClDnEpDHu8cfxzrSpiIuO4n2x/Vp/bAHO4qIisPi9N/Dq9A/wwlsf4MzZc5j+xAg44cOytZvwweIV+PSp4bx9F7mOS9MzAbYl0DaytGLyEEBbAmrOZuu12UEYbQGy2WN1sigz+jsKd29BVPN/hmx285lsFijSws4ry8AJ9YMC2wEOAkWbZS5/EzGTPXiyiVpLyO/OmbSA1N+ifqMm+PjTT/HgsGF4+skn0LlDO3blsevPBpw+fx43Dh7KwMGqRZ+iU9uWAggQqJZ1o8L0iQINvx02Hx902etshvET/2J6dviPjogWKFKwQgBU+zxixV96/jk8/fwLmDP/C7Y73KyJtmJMCPA2M7SVizqWLIPpRwhNAC6ehdVlx/rC6pVoQnL74GrfhdUOb//2MxTn5qBy93tgs7vgYcyNlwebsh6O/WxHQtdRyN+9BIX7l8NfmofIJv1VsoEFjWQ4RwEjnWsfB0+GCkDfE2O/WNsQuq5LsmELIh+XwwT7c3X4zd+L/t6fsQs7w7pi8aptuKVXG/wTlvd/O4H8Uq+pklbOEDSOyetfDrysvpIOGh1SwWSxy9xP9wtN8jTOBWDz8dmF30cBOAR4nP70I3hqxmx2TdnodTY/e8z+hi5jAOnnz2LEHbci81IG5n/zPdp37KhYM5nRqFajJmbPnoOHHx6J5s2aIjEhAeFhYcjLz8P2HTtRUFiIlOQUNGvaFC1btWatjs6eO4eDR47io89mIzoqGsPuG8ra8Kn6MwDnL2Tg83kLsHnLFsyYPgNVq9dg7bvoe5evPdW6XciARjOB0kG2tZWXBOj5uTn44NWnMWLiDBZoWYG23W+DKzIWQx5/Hls3/opefW/iUnHxuVZ+tLi4GNFRUYiLjcFXcz7CpNen4oU3ZuAszQtPPwwH21E/Dp46hybVK4nxXbYmMvrZ0zi/LzMXjaKjWa0pY0qIPZFSeL22XJybI4EitEGc5fo3ttYE1c7FK7D96x/QemBv/BMW/7mDAFOv6BHlvxDnKGBuZbn9f9KE0SAy5HImIxP9n3gdGdl5+PHt59C5RUORdPULF3FqjSBaG7F5QvoRGO+nEq+87o2Dcpc0DfQj4JBbugd9hks5jf3y9WL8tNvs6NyuLTp1aIeSMjdz4H/uySdQWFiEq9u3R4+e16J+o0bs73h5opwf5DfUxlWxpSngzKkT+ODdmUzRReZ+SbFRvOTBTWUPpWpuYm+kugAYZoVsH5VyQJqLclUfGSx9/daLeHXWbLw463OcOXsePVs2xIJV6zH/iaGIpGmBQDax2YzRNlp4UVJXmp8FPFeWi0uQfam4FAfzCnBv8xqcxb7iZcR/cWnVamT89DNSrvtnSMhzls9HoLSYGYrxSZJFQCJnpsnQ5GIyyxLg2tLf2lTHrf+pkphbGWyDKae/P59XgNs/WoKL+UX4dtQgdKhfjV2T64+cwYJNe9i4dEeXVhg7sAfrAS3rrLmhmWCy2Rou3MU5cDb5c6gvQxtD1SHbPkowvnXbdrRu1Vq71/icqbCBiukt5aQOO+54aiL2bdmAlNoNEEZu6DJpTfGIEtaJrhPUBivgw6XjB3F2/3Z0uOlO/PD+a8i7dAEptevhqpvuwenf1yIptRHiKtYUHjqC3dbLlSQADq+Aa8a8gQPLPsWBJR/Bk3cJLe4YBzsl2qyLOgX6+TKbn8n5iuZ/vUWlVPiZys4sBqrcp8XoXCK7mBzJKsLBjAI0TIn+v8VoZxaVYd2JLDOI1n079KyjlEL+Cab7P1nOHjmAdx4bCqcrBI++MwcVa6Re9rXyo/SMKGMXtNo3KRuXRjQyg1NOCq7LGdgTWgig7nejb7YuKQ7GZusSY6t5Fv3+lQdvx4T35yIiLFzV1nEm22hNobepkOz2uzPeQUxkBB4Yejev62WScAG21dYwPqN19tdL8dCEt3Btu5ZoWbcWMrKyMW3k7UyebqrHlgBbSMZlYGVqU2FhtM0u4xp7bandMYIMeeb43epKSEa1p6dyE67/4XKhoBTLD100wj9tMFEy8suc22Bycb2+1JCYX679F1BSVMh6bfe+4XrcOfg2Fhzs2b0b/W+9HSGhLny/YDbq167BgwVZf8oeGxJxaZbGZf8ewOM22oGRUsGU/deCq8sx2qJGT9XpMamULiN3MVZ7wqTX0LJ1W/S6vjevSxLMtjRIIwk566PLMrp8wDdWY9Cn+9bI1HI5tlxkdpdY8IJSL1upt/O+X35AfnY2kq/qx5jtklKq3RZtwphJGu8zzmu3vSg4sg65Wz5HSEpDxLS5k8t+mcycJ5oMhltsZT/uYPJOespTiEBZHmzRVSwScf2hHDeN8YbfBn6gLB8IiWSJgpqVE7Hvu0kIITOv/+GyPz0fTy3VnJW1e8F6H5Qb+yw12uUmUMFws3ptudrtWDj1RXTrPwj1mzQzM9ri8YlD+5iSIyQkBJ8s/AZ169Uzu/yrvt78XqXzuW3rVpQUF6O0tBQREeGsp3Q09RAWiQIjfSBVBsCpkyfw6Scf4+DBQyzDXrtWLZxPS4PT5cJdd96Jrt26cSM0zpWXA9nl5eNa3bZl1Z3GpYyWfqZkgMfjRV5+PqKTKnLpoDanye9Jx5eck50+N36a/xHuGz0OUSEOXrPtIKM0ISO3A1s3bcTW3zdh3KiHhAlaKUuOPfTUy7iuY1vMf3UswuHFnO9+QqQ9gP4t6sBTWAR3PjHZRYzN9jBGuwTv7zyCxqERaGALR0mJB8XFoq2XYLRLNEab1u9xEb2RUk4aHDydLcopalbFhMNr4AwJwf9yCRTmwEc9s63SVoUQgwU8FkAtDSn1MUSZVGpjsnovfZ4sryjfc/w0+j/1Jhsnlk15gvX7NbL+PKTn8lzJxMlaHDHmiH0oI6dsvx/h4WGKqWZzgWL1tNWugQvJgCuTQJ3p5q9jHLLNjtIyNzZs2syk5UePHmV/U69efaTWqYOqVauicpWq7J4MJY+GkFDk5+Xh4sULOHv6DL5Z/BWiIiMw/P770LZpQ9i9ZXAI8z65esrKcPJ8OjNyrZiYgFrVqiAiKspg5oVkXpbqqLlTmMAyubjHjdlLfsKI1z9CpYQ4/P7WeMSFOhnAZmuZBNqyHptLxdnWoxugaW28LGw2neeJuw/ixsqV0DA6ymCtJeOnsdqK4SZg5PEjtGJFdPrxW9hD/n7n5SstZWeOIXP2G+YyQY1YkdevDld0RtrUdkuCbYfhni9bRKm/0wC1VSYu2fH95y9h0PuLEep04qvRg1iLqEW/78O2k2no1KAW7urWBlWSKwjHcKe5TRcx2EouzgG3jHcYYy2Btp4cVOomfg/ofgak/qD2ko+NHYvqNWuJcjqj3Z1S+VmYbfmzVPctePMF1G3TGXWv6spa5BEBIT6dHetzB7YzkE0x3vnDe1C3+VVo0Lodm6PkQqZ/ezb8ghP7dqBhp2uRm5VJneJRtenVsIeGWQA3/xuJ5w7/sgS/ffQqqjRvj66jXoMrLFxLiFlTYkYJsWkeE1J1afKp4y5a9C5NKm4Wcz7f6o+NeDohMgTDr65Zjoj5K5a/Leo6cLFAsHOSAdaYaclUK4L4zzPd/y6pferAHkwddQeSqtTAmGmfIjYx+YqvV+BfZNN0EZqc7CSLrfqBi4CIsZUaGy3/pWwrCyCVU/Afn1CdyeY/G1kb82O+PXlwL2rWa4gwkqtowE1JzfWsl1Cv0OMzp09h86aNTDJeXi7u0YC3MDxj9dYe3NOnO2JCnLjj2Tdw5NQ5bJr1IkLo/BIQIwAmQAb9DcvQMlMPIYVSpmf6Yx1kW9lrA2CrwVidMP3C4CfAk3kR+Rt/Ruw11+N/ufx+JtdsxiIuKxm72AUJza59CuSJjaNrTrC4bKux2zTcsPuBvYYGZhokRW0iG7w1htsOhEdG4ZPPZuOF55/DiRMn0fv669Cv/82oXasmvl0wBxWTEpjU2cbeQ0w07DG3RjdlF4mRsBH7LOSC/9EizNPo+yhWm7PnnNFwsH7GA24bjI6dOyMsMhp+SuDoCTmelhKqDr9Fem+UrNCiS+5pkfef7MlKoIPABbnFkqt+WK9+yCt2Y9MX7yK8Ul1Epl7NWG2q2ea7yCdmnzA2iWnYHc7ICsj69V3kbf4Ese0fgJ0CSc0UiG0Fq01HkF0XSkauBcP0OlcU4C1BgPpqR6XwXwnZuxwTJMDWReXsLc9thi26MuxhnO07lZaJD7/6BY8M6YX/5TJny5k/eIVkpIKbu1kXQzoqmF67dNkW5T22AG64ZyQbvxRQJeaWZNmBAPbt3oExd96CajVrYdbcRaiYUlFdM35NdUIGZhTg02J3uHB1e6o1M+oGaUMcPdt3LXCgRd7r1WrWxkuvTOTmMl4vTp06ifi4eCQmJRnqFbobtKSuDrJNsjwGtjWfEGlwZgLZumwcKCkrw9TxIzDgwcdQpV4TlaRiNXciaSwTGjxpa2Nusbk5Odiy4Vd0vqYrvI4AfFTLLt6THSEphdfY1aG39kflhFgMeuRp3DjmJXw78XHsOX4Gw3pepRleyvIh6Zjsx/7cPAyomQR/kZcHVBYGW7VvIhUCypCCUBUjmGXjwcA2v66yTp3Fr+/PR/fR9+J/ufjSj4pHLCAwHpsWK8FwOWM0nbnWGQ1rDbf2vOW9tx8+ib5PvoHalZOx+NVHGTBkSXUL0Ka5xqjFDqDM7cGGPQfx0+ZdOHImnQ9dTicrsaG379qyEW7t0QGVUpL5+7mEASe7t2jjQCBAUmzRikO2xlMgW6ipxM92UcMd4bSh5zUd0aNLJzaaeqhrxtGjOHHyFE4eO4pf1/6CwsJClJSUoMztRlxsLJKTk1G5ciW8/cZrqJgQz+uq3UWwlxXB5iZzvgJ8sexHLFyxFmEhTtRMSUS1pHiszi3AyQuZKCotQ1KFeNzQ+Sr06ng1YmNjFOCWnSVYjMRa27nZvfPz77tw/w2d8MWaLRg06SN8NfYORNC8QfJwxmgLBttrxEcMYAvywUxAlJeBn8ovYiCqYUy0IaO1JFKMNkhmwF18+jxOz/8Ste69A//LpfDXpUyOzb+TUOn5KdagGMcof5CJS2PRDcskmy1Atv0KMnLdcIv9XmPEbTbsPJOBATO+ROW4aFzfsi6e+Xo1aiZVwO3XtMILd/Th7bsEccCANnkZMbdwcg032GwC2dJ3RkrC5fWi4gLOeLKtyTxQGGPS9Z9xKRNp6WmoXbs2A9jlxgn2fTi+kHE+jeE+v43FTH7mom/HbaOfxcJpE1jSIDQiCtkZaci9mIZug4dhwavjUalmKjr2GYiKVavB2fM6RUxI9Sz9ExsWj4o33gxv35vYdXfh3Dns+u1nbF04A73uH4sN385FpXpNkFS7MVwRESbytG3vgUhIqYjlr4/FL2+OQf/n3hWvMftywVpmrM1lfJ7j7QZl3bhBcIpkvV5Say8PrJkpmgDgEoxTW7Q9F/LRsjIlzP8PMNrncwoxc85CNO/YFeFkymBK0lpqtHUpdhCmWwYx/0mN9skDu/HGw3egUs06GDvjc0T8CZMs3aFVd7LkpgGa3E7WwqnAhk/uJtbSwlhLZluv5TZMAAxGW3f905+TrSXMfZe5sU92+jl2EVWpVl21rGD1itL4R6vNljV2dA8+MuJBPD5mDBrVq82kbDYvN/bgLbs8Qj4uzc48ShK+79BRPD7tYwy4pi2e/XAhmteuhm+efxCRIQ4Tg81YbNaPWBp7WEC2BNeWumyDvbYw2oEACsvcyCl1K1fQqjGRcLJBzJADOWNiUf35d1im7X+xkBngisMGmy2XYDXaqgzA5LhsrtmWjLZx/vjgYZjZGTX3Rl234apMcuyZM2eiRfNmWPbNYsRFRxgtilSCRToqSwM04VbO5P9uFkTwRIrRxs0U0IlJqzyjLRzHGaMtHispnmj3omqShDmaIwQ//bKOsRavTJ7C2qJ5VC9VkdHVsrpSCsuZbynVF/1SNRWHkhnJe5o5GPtZCwxqI0Qtp3KKPcguciMrtxC/zZmG8Mp1Ede0J3Mkp9XjFuy2kPUxwzSvFyVpB5C5ehqc8VUR2344m8TJtd+vs9qMCffwtmGqJRgFn2IReIGOre/kGjiqXg2bAM3BF8Fv0zhVkMaYcEdSI9MrqKf2oWWvMROX/8Wy5XQ2Xv3pcLnnL6foMTotmFt9Wd3HWb22xmjrLb/kPfLzFx+j/z0PmtzHTxzYg/H3DESN1LqYNf9r1gpMN0aTzK6U4pmYdpmMNVSyqquGHliY5Wxy3NZLgLRErdVs0wKyg9Vo62y05zJO43L+WvzJLCRVrY7mXa4XLAcvmWB/J6R/qpzIzmuyw0McsJcVY8fPy3Db3fcpVpvVbLPaeKA4LxePPzYG8z6axdhsLr8tYdsNm7eg70NPoXmd6ogJC8HcR4fAWUYMdhHKiNEmkMDY7FK480sxasN2TKxZj7X5KirlvbNZqz5itH0BtmW9Y/0BHPQXwosA6iLKxGbzpfwz+hKdnIhXjq9DGJl7/Q8Wf95F+E/uLCdpVYsOoq3PX7a9oiEbl20wzSBbU3+Jn4kV3n38DH7YvAszFq9CQmw0hvRoj0qJcUiIiUJKfAyqJMajSnICwkJDUFBcios5eTiZnonNB45h99HT8Af86NC4Dq5r0xiNqqXwoy4+i1i1X/YcwfvL1mJg93a4u0930UuY164yMCJrUmkO0EG91otbZ7dNNd3sZ435lq83CjbFgROsszwmrM87XatlQGkBAiUF+H7lasxcsAR9r26KoV3b8F7aYmyWrtDEXF7IL8FPuw5j9c4DKCpzo3m92ujYsjFSq1ZC9YpJcAQC2Lb/ENZs2YVftu/HhLv64KrUqti07yhunvQpmlZPwcKRAxFuo+4wBLY9qhabG6DRlogJn8Foa+BatumS8vEtF7NwNL8Ag6tVNTHZ7BRLIzSL1JwltkRXDXt8HHr+tgLOyAj8L5ay4/uQ+82HmqFtEMNbk2IxyKL1uFZAm4Ht4DLycrXd4nUUN8zdsBvPfPET8/YYcHUT3NqxOTo2qg1niEso8Ti4trblYuDaRUw239LPsm0pA9tCBs6uVxl9qPyaxubK61dc18Wlbtx25914bfJrqN+osdZLPlj8Yyj9ZA22fN5LhILm3XHhzGkc37sdiZWroW7z1nA5HMrLyegwwVfdQ0UvVaL6bG7Ixrel7jIc3rmNEZsV6zREYV4udv28FHEVq6DH0Mdw7sheOELCmOnsN1PGoWJqQ9w+4T24wiMVoNbBtZwTTWZsFom6NEQr72klpfMGqNa31hiiOC8LP304FSsWzkZURPg/G2jT2606cBZLv1qIHRvWov/dw+B0hTJWrUrtuvw1wYC3BrTLAW/5R7qk+8o7oV5z8uAeTBkxhIHs8QSyoznIVkyzuRRAsRBWAxm5tQJtzgZw13F5IfDMj5VtLi8H18G2/U8CbRX4SfAkpeNkYR/wY/ncjzBo2MOaK6zhtmsANd7SggWhNhsOH9yHd2fMwIezZoi+jwSq3QbIpscCXEtXccrWfvHDaixauR7vPTYUyTER2LTnEPq/MAPNa1XB4ifvZRlnnqUV2Vo5cbBsrW6AJgbWID2zdflQRkER1pxMw9a0S8grdSPS5UQiOT+ybHIAR3PyMbxVA3SkyV7LUFa4YSDir7sF/+2F9mnh7vPILjH3RtVrUOS5lYG4dKxXbY2sMnLV89xwkZd9gRWoNrnIG9Lyvbt2YUD/vkhJSUHlSpXw2ScfMTZbSt6MrQ62hTu5rD/z6ECbrgehcDBJxzWgbZ2QmOusANqyvYWoRzJavmgmIMwYzYkHR47C0PvuR4s2V6nJhU845smG7kW9x6o8xrphoJw4JKetAxbZJqzI7WOmXbTmFXuQW+xGTl4J9vz4BSo07gJfaCzKynzwunn7L68IiEhOTtd6cfpBXFr1Jlzx1RDXYTirPuYtwgS41oC2DriD4YOAm8ykMjnQdkbyYxhk8eeegr/gPJzVOl72mnz+oZvw/IM34r+90Lj42Dd7cCanpNzv9HNhjIfm8c9IKl4eaLN7QQJsC9CeMfY+PDVjjpKMnz6wF0/ddysD2dM//4qBbJZ0tJfvp20u2xH7LNhROU9JEyZDdYJySVfr+8gxX813pgSvMN3UQLaSj4vWXNIAja/mWms9+09/c3jvTlROrc8SV5RQKpUGgB76O8lqc0bbJo4xqTsIaFPSlBi/4zs34fq+/dnPkaT8cNm4jNxhw8ABN2HJwnlwsB7aJRxoUyuj0iJs2LwV/R57mQU4B2c8jTCfmwFtBrLzyWmcA+2MzHxM230I4yvXRFm+mwHsIrcE2rxfdrEA2WSEttdfABfsqIXLAQQ9SpAst4RcQN+XHkW/Fx/Ff3thdYaHNsBWVniFZIDOVJv+2Njqhop6opNdQ7wuPli9NoHrhT9vwne/bWO95pPjovHFms2olpyANx8ahNiIcOQUFiEzrwAZOQU4dykb57Ny4fZ4ERUexsB39ZQEXN2gFprVrMKSWgwciZp7vV6cgx0HU4NM/34dfj98Gm+NvhtVq1ZR9auG07JRj8rqv6Vzv6k3d3lgbe7dbUjaWSSmHV4GsuXxInk49Xd3F6Mo6xLGTZmJuDAXxvfvjrCAD77iEq0zio8mD+7PQSZYIdQLOYStAYcD+89fxObDJ3HqQibOXMxix6llnWro3qIB2tSuAhcoEetBwO3BpoMncMu0+WhaJRnz77sRYQRcSCrOgLYE15KQkIy2RjwoF3EDeG/MyMTZomIMrFrFMBATINsEtKVyxCdAtgDb1N6p7uMj0XjcSPy3F7pOcxdMhfdiWpBuMuI6ljW4V2LbpBEarQ4r0JZgWwfXhqz8XE4B1hw4gV/2n8SFvALsOpmGOpUSseLFBxEfTfOtKH1QRq4ilhH11oxEEP2vTatTsNkiliF/gS3bd+LoiZOsfMfj8SAqOhqNGjZAo/r1EM2SfmqC4TFDIIAHHhqJ24cMQbfuPdl9pJteKuJBL6nzS6k4B9+yw4TJJFNLCutxpQTZsgWmjCkVPhHJfL17hQL+6rM4ySGVUh6PGxfTzqFCpWrYseYHXDh9HOHRcYhNTMHcCaMRFhGFgU+8xlj20wd2ITohCa2vvxU5GecRmZCEkLBIc3sxS0cN7oMstI0amam3BpWAW8UM4nlPaQmObl2PI9t+w6CxL7EEwLWtGqJ11SuRGv8AoJ2WV4J9GQWaJBw4sGMbfl2xBAX5uRjzyjQsnfsxajdqhloNmyAiKvqPgTf7hbG5UmKL/4r/VcaZU3hp6E1IqlINT707X4Fs9sW1gMn0d3rLCFFjoJvK6EBbBie0VaDcaiirsdVWN13FYkowrV3MVwLa6uJRtYP8Jtm/5Tec2L8bd44Yo5hOg9U2u1WzG0rcRFST/fILz6N2jSocYAugrRhtxl4bNUcEtCa8NxclJaV4+b6b4aQJXzDdm/cdxY2vfITOjWph/iO3wU5JCAayhRxK9YPU6rPLte0yWnkdy8rDiqNnsSM9EwnhoeharSKurpyA+FAuGTTOpw2FHi9m7TzEsnkvdmmlBl17RASqP/PWf73d18GLBVh19FL5UCpIEsZk4qDXausBv6VeW2/Zxs+lZLfLg+1zp0+i37XdUb1GTXy7ZCky0s9j3NixePP119G0UQPBXsue2uX7bctrQQFtalVC14QsJdCZExH0qD6rksFmciuXGWir9haC0VA12warTT9n5uTjrnvvw5eLv2FyVnNNqnBcFgCEXT4C9LCkhQbUJIgy5NZcBiuBudGL0s/qtPNKvcgr9SCniIPt08ePYMMnr6HmDcPgTK7DWG0PAW5Vs82vb9qWpB3ExZVTEJJcD7Ht7ucGUMRsS5AtgbaHnitjP19p8RekwZ+xG7boqrAnN0Yg/zxPgoVGcXfn0lzYU5rxY2taxJ1isyMmKgIHl0xCUvzfY/pxuWXt0UuYuf7EZX9vTU5eDmRbAbZRg2Vc/wbINsbAj18YgzGvzWT3Seb5M3jijr6oVLUGpn3+FSoQyBYZfJXA1PwOJDC2doxQkrbLgG05+QcH2mKrvrxRiyavXatc3FqjXa4uWwBuPTFMz21e8xN++3EJhk14C17YOPNArV/cvAUMC9IEoy0THXQMCGSzMooQB6JDHJj++H14YvLbqFm1MqJCOdgmVpucyJ95YiyG330HGqVWF2x2MQfaJYXwFxdiw9Yd6PXYZPRqUQ9zH7wZgaJSwWYT2C5FWUEpNp9Kx64L2RgYk8SANiW7aGX9YAXQprZeBLIJbO/05yMKDlRHhJoLbH+s+VCvDIuOYqx2dFIC/puLP+scfGeondeVFh1YXIbVDga06QqUbLb2O9nl4NPl6/D1ui24vfvVGNSlLc5l5qDb46+jRkoClk0czUB2Ob8ILfg3A3o5V0ufFdnu0XCJluCUQAoBkiMXsvD4h4sx4YHbcHUL6jEcpplEcWZbda0wMduibhWXA95CbqtJ3MsfeOk94mWmW3RtHj58CKMnzcRjN3VD19QqrK+7t7gE3uJSYUhG47SP7z/rl0xAOwSOUBffhtFjAt0u0eqJ5jbDMJSXR3BlH3svtwebD5/GwHe/RsfaVfDRbT1ZjKQboLG4SErHGRmhOYib2nTxeHXzxSxWcnFvrRpB67MVuBbAmrY+bcvu/fAI9Nv6E8IS/7vtvsoOb0fR6kUWPx6jVauph/YfMdqSpaaYT4Js05a/hhLpG4+ewc97T+BQ+iVUS4hDz+b1UKtSIm6e/BlqJlfA0hceRGx0pKnftSEVdxk12dJzQADrAAFuCbCdISyROe+rb/H9ip/gcDrRpk0b1G/QACGuELhcLuTm5uLQ4UM4cvgwioqL2bxQs2ZNhIeH4/z5NFy8eBG3DLwFd989VJUPMlNIpWLSkq1iTpAAWzLNEgTrSij9KOq+TbqHiY4XeFtqPpfpymM1H0myQ+AhHdx7LeVNukL46O5teGfM3ajXqh3ufu4NZGWkI+9SBuq17YS1X83BmYO7kVQjFa2vHYBDW9ej7lVdEBGfZKiIVVmEhqsUptJLZPmcRjHYhWMHcPrATlSv3wS5GWkoKypA2143Ijouns3JpP69tVllZhr3jwTadPA2n85mF9flDNC8Xi92/74Rxw7sQc26DeHz+/DTV/ORUrU6Bo0ci0vp5xEZHYMKyZVEVtOcxdJB+OUW+hsyMXr+nv7s55fnLEFMvHkAkQGdyT5FD3REMGOwAsGAtnFR6dJx8+cE64VtlpHr0kid/bYGm/Q7FVxapMUUaK6Y/wmuuqYbUuvUNxz1VCsWo6WXS1vPnz2NSa+8jE/fnykAFTHaBKA0ZluXC7tLMW7qh6iSEIcxA3py0w8BsuWE8tP2gxj01nzc1akF3ryth6jBMzK0ymlcTCbWHtmncvLx/eHT2JJ2CbVio3BdrSpolVyBB6WXOfEyY0lM9isbd+PWRrXRKDleZDYdiO1yPRJuvBP/rYWujznbz7IWRkH3NwjI1jNy5dq36VIYyeJZ5OO6jNxg5WzIz8nCLb17svf/fuXPSE5KYiAiOysTwx+4H2Mfewxdr+mo2Gyjx7ZsB0Y/i8SLBrSlbNwEtGWxDMsYS6At+kXKCYq2IkusnDWlGY4ItkysNludWLFqDZYsXYa3ZrzLJg0C2MppWbV9EN1uRLLNkP0a5nD00SoUExOHBDZcdsUljwVuLwrLfMhjMnI3k5LT9lJmDi5l5yLr/DmEV2rA2n8R4PYSO8gAt5SS+1B4ahsu/TwVEbU7IarFQMFku02A2+cpg99TBh+Z8WjXN5dDWQSxFCx6igFXOPxZRxlDaY+qCFsIsXp/UNNM9Y0OBx65vRfefHwg/lsLTbiPfrMHlwrd5ZSypgraICofOS6qCVPdA7y2Ss9WsxosmXxyyvHPztru0DY8LJS1mHr27v7sc6YvWo6kpETDiVQH2lpfeiObbyyXY7LZHKB+Z3Tc0EtEjESa5tUgfTy0NkW6mkqCbBoqOZt9eQM0OVfR9UPHnhzG7xj7ElOGSCkhlUgwoE3XrfAoYEBbnBQT0A51sh6jWScOIu3IXtx2172ICXUyGTlJyCNcdmzfvAGrf1qBCU8+CrtitDmY8RcXwF9UgM4jX8LO42dxV6fmeO3GztwAjYHtUpTll2L5kdMoKXKja2gsSonR9kigTSZofpSQ4kQw2m7R2isHHjRFzB+IxYP/hp7tMeZe3Pb2i/hvLXT/eg+u54zqFV9oradWv1AXn6oJVv4OGiiRIJuVWXGF2EuzubHTk4N7s2swM7cA3ce9wd51zRtjkRgTZZagm3dIlfJxaa/f1PpRB9oc/Ivxi0CPBNoMlLiQ7/biwZmLMKhXR9za6xrAJUykhMEYYw7Lycil1FYzkSrXIknKzM1ycXkc+TzGE8Z0XS5a+iPmLfsZM4YPRJIT8ObnwVNUAk9RKVuJafa4PTiTk48wlwvxEWGICOOg2hHiZGDbGR4KZ5gE3i7Y6bswZl7c2ApsG0w1gepV+47jnjnfY3CL+ni111VM7UesdsCk+NNMzzSpuJnxpXnPj3Hb9mBM/TqoFh5uMT+jucgwP2OqKw1k01zFjLT8AdQZdhfaTX4G/62FFFz5X70Ff3622GdxvZoAtpHcuSJUMdVcGwCbAW52Pdmw9tApfLZ2BxvnOjWsycB1A1I/OpzIKixBj2ffZedtzZTHkBgXY7oWzYo8kRhyGnXZAQWuqd91CPJLyvD+7HlYs/ZXDBo8GLcNvh0uV4gCy/qiE2nka3DyxAmUlZWiatVqiI2NZd/JlIA1mWAKTGJROOlldPr8IJW3TJku5ly9DFE3T9bNdiWAZUCbnTxt3mNGm4ay0MRuWxLBPo3AlPPbzt/W4M1H70XXm27HPU9PFP5D5tcUFRUyA7a9G1ajy6BhSD95hEnQK9dpjKiEJG52S5M3HV+PB4XZGcjPzEC1eo2x99efcGzHRka09hk2Fuu+/AS1m7RCnWZtGNGr1KSaCXWj5Ci0rRb/zwTaZ3NLcDyryEQ/W4GxSRounvd6PUg/ewYpVaphzdKvmcwtKiYWfe64H+++OB7xScnoOeB2dlAo40EgvFKN2kxqEMwwp7S0BC89cBvSz5zCpHlLUbFazfJfXP1j7K7BZMvgRs/EiKBeXECyabusb9P/zvQ5JmlweWbbWotoZTV1oK0bPZkkEeJmKMzJRFJyinGzaIwnPTZqs4V03G7DS88/i/59eqNdm5awM7k4B9oMYFP9EpMHc2DlLyvBI5PfZXXYD9zQSbDbon2XR3MU93rx+drtGDP/RzzbuwNGdWmtgLa5rZeYhPwB5JaUYdnhU/jlZDpSIsPQp3ZVtElO4CZh1qymZsygeEmttcPm9EwcyMrDsNYN2EDJBtvQEFQd/zqc8Yn4byw7zudirXDdN11kfG+DA20hG5fXgLk+VFM0yHMugYV0VRQDpp6hpNYlQwfeyFqZfPfjaqSm1jYpIspKivHQ8GEYcPNNGHjzTQpoKxM8Jhvn5QO8Rt9Iusg6fQa4pZRDuVLYggBtC6MtAyoWKAmwLWu1TTJyg+Ge+s4M2O1OPPTIKGWQxGuODCCiL0p2LwbTsuIibFi/DseOHsHpU6dxMeMCqlarhnoNGqJps2Zo0LQFvAEbA9tFHg5ICjQZOVuL3cgudGPzovdRkJ2JGn1GwuMF3MRuU922R2O4yeH5wCpkb/gE0c1uQkS9HoLB5quPHhPIFmCbBcWShZJmTvKYXoahkzaNZnWOFVrIAMSJsLAw7F70PGpU+u+wF8v3p2POlrMWTwrtMd+94HXaFrCtnMct7LZ0Hjc5jIrE07aVS1ji6JobbsQrwwfjwtlTeHvRD6hRs5aWjJR1W4afgc466/OMntHXQbUeGBiMtvE99RptXUIufy/Pm+k9tN7XusO4VG+Yghg5V4lgqrSsFL+vWYk2PfuwwMfoMc97rOpAW6qz5J7QMQ93OQ1GO8yJmDAXvHmZjM1OrV5N1GtzoB0CLwb074flX86Hi+Tj7iLYyiTQzmdA+5ZnpuKGFvUw6qNv8MwNHTCibSMGtAlkE9iet/cYKtqcaG6PRFl+Gb//PGagXaoB7UK/D+uQhR5IMvHV1jslWH9t+SpyHn/p8Gok1vz7eqjqi+/iSd7S648WHWSrScTM6hlstsFoc2Cis9m8ddpzH3+FCtGRGHvrdezvSkrL0PuZt3Ei/RJ+ef1x1K6UaEh0TeDeIknXjUpNAFv7WZP5ykQ3A9suAURdLvgdTjwxeykS4+PwzL0D4aR6bWID7TRHiLnBYsJmDBTWGm6d/dbZbHGuRbKBxTLuMpQUFmD8G+8hOsSJZwd0R6CwCJ68fHjy8+EuLEVpfimWHjiBX89dYCVq1SLC2b2W5/Gw6zA8xIl2VZLRtVYV1EyOhzOcA20HAW0C3CKxQHEH2wXZglTEPkwe7vFiwZb9GL9sPcZ3boGHWjc05OISmGsAW6/P1kG2POenC4ow5/hpPNuovgDkggX3BgHabg6wqQ8yxa4suUygyOHAoK0/IqZGVfw3lrIDm1D2+4ryPjwWkK1fT0HhikxUSrCtM9l2G5btOorZ63bg6nrV8eB1HZBAbdyEpJxeS2Nhnxff4/fCtCeRWiVFkQDl5OJ6L3gGuDWzM2coPLDjsy++wlffLcODw4fhht592d/5SXmhSopMu14u9tPnRLkYc4phkqkMMBXDzZOw0qNGlhMp3w5t7qI2mjI2ssrG9ThSepVwIBpAdmYmcnKyUVRYCHeZGxWrVEXFypXZsTKSvxLwGzXhPrFv5laVxpz549cLMPOFsbhzzNO4+f5Hyr1GlUcJ9XDaqRM4uGU9SosK0fmWuzH3lcfZ9dO6542IS6qI3WtXID6lEtr3vQ0lhXmIjolHVFxcef8sdfxpnjdIUSKi+jasiKhQ5z/LdZwO8rlckj7QT0YbKwWyxUUjg0J50bEagRAXatZOZT/fcOsQXD9wiApkXpw1B9mZF1k2KOviBZw7fgS7N67D7SPH4dO3JyHj3BnUrN8QfW6/F+++9AQ7SO6yUhzfvwd1m7XEnDdewqhX38Lij2Yg7fQJVK5RGwOHjcL7rzyN5MpVcdPQEYhNSORTr1KV8ewtdw+39IcUD42ifd0A5zItyLjNOHcdl31hmVcy7zOpjsUfOJHzwcT6HL9IKHj8fu6HGP3SFB7U6cy4iVHhFxRtvR439u7Zg0kTXuAgSjg/MxmxMr/iLCatkz9eiGa1qppBtlgpi8TlUVz6dHubhjh1IRuTVmxEg4RYdK1dhQNrrT7b6/Fg3cl0LD18mhnz9Emtihnd28BJgxK7M31sMFE191IBy9y5ZQZTu7iEO3DLlApYcECTqbJCXB/yVn+HhIEP4O9eKJNIfbNpUClXAqEPrtpNLp3qydCVmWxS32w/Z2AD2rlToj72laV3NT1HwQTrIsxxmRg0Jjw9Dgf27cGC735A1Rq12CDIXP/Z9UYdKCLw6ezP8cB996JO3bpo2aSRAHbkAGswBKrvpGASmBuoYhLE7xQgvIx0T+ypwb5YnldBHfVYpQQMvT+x7PyzCLg/NnoUHhr5CH5c/j1u6NsPNqYP5/Jvu+xkoB1fAmGUOf9l1Sp8+/VXKCwsQI/u3dC2ZQvcetONSElOxplz53Dg4CEsXfw13nhtMh4d9ySatW7LJiE5+bB2TxYwd82dD2Pvup9gK7qIkJiKpt7I+teKbdQL3sIs1mvbFVcNruR6Ygz0M9kgsVx2aYbGVh5cyLGAfyfr2MDHFH7N8y8sRi1+9E1aWiPxQQkOmoQnfrYSHz4zGH/3QkHM4t1p5VQ9euLRCrCtE9+fkZFb67YlkCXFwIZlX2HMG+/hk9eex8lD+zHl829QtXpNC9g135PqEIu7jMlgtVauersRCYh18zGD0TbuBgps2P3NPpeMx4zHigDT5kVZr83f18xsS1Zbd17VmXB6zew3JqBJuy6aeY5s/+JDmccHt5evukpLLtzFn/rZ8/3iJnM+5GVn4dvFc/H05GkI8fH7g5zIKfHXqVMn/LJ+A67teJUGfuT1x4/X3V3a4PT5DExesQH146LQMTlBAYdctwd1w8NUjalpMmVBkXGcaA2z2VHGHM8vz2XzTzfAtX6P0HNetxvfv/gWhs6Zhr97YSaI6ceuLMcz/YHZyKw8yNDk5RKYoPzfTJ63FEmx0Xj0ll6qu8Fj7y3E7hPn8NPEUaiVQl0nghmn8fdT9d4CZMv+50ypZgHbBPBM0nEBOP0kuWZsBR/rqM552n03Ye6vOzD4uWn46OkHmQM/JWHhF6sGnkyNf6xAW0nH5RylXqj2myTjKCvFzr378dSM2Xikbxf0qF8DvrxcuPMKUJZXCHduAQ6cu4TXNu9FpwoJGFW1JqLJyNLjNxL5TjtKbQHsKMjDjI27ke3xoH+9GrihXnWERYYJsO2Ew+WE3UXAjM/PbL7Ujh/FSLc1rYMzmbl4c/0u1I+LwTVVk03O4npNcjmRgbgfZAvBGlGRyHG7UerzIVTGBEJGroC5ZqRGrdd8Vsmx14ONE6fj+g9fx9+9UMzo2f+bknRzLx67mVDRndK1a1ux3PI4iHHG1KLLbsemY2fx1opNaF+/BhaMvZMbXMnSBLl1OPD4+/PZvbDyzSeQWqOa8XvNVVyvyeYgmxu1BsRjYrJXrd+EqdPfwy23DMC3337HXs+Tozzmtw5rRvmqnO+MOJ3HhObEOf0hA9oWtbApWS062NBlx7vS8L9nPkbaOKnaV1p8f1iMo/n90Pb4kcP45qsvsX3bNiQnJ7E1MjKKdRY4l5aG9LR0eHxeVKpUGVe164CrO3REparVmTO4wbYHFFmpkyJSNTxwyN3IzTiP+dNfQ4PGTdGqc3dTkpkngu3wOnhpVGrduqhVp67CYY9O+8R0fTW/qr2RvE9KVMBaLupRUGUpf7A/Ix9XV6/wz2K0qTab2GxT/2hN6m1drHbuErTy38nnygNX40INvtuUGXn7ucfx+OR30OOmQUFfQ5/jLi3F8UP7mElbzqWLaNCiDevppl8AunmAqokjFlvUQOg12kY7FfM+G3XXRqCpS8ZVDWAwh13dpt4qn9QyUXRz/Lb8G3bh9+w3wGSAJut3eaaKM9k8ewWsXvkjThw7ijEjhsNGslVissmNkz2mnpKlbA14SvHb1l34bMlKfPj4UFWnHaA+kExOTlvNVVwYenjLvBg67wdsP3cRy+7piypRJGvyIyOvEAv3HseW8xfRqWoybkythsSwEM0QTWZsZRbTQugpkC2Or5wEtXqcET9twof9OnPzEpFRt4eGoPK4N+CI/uvt+/VlV1oefj56SclKrZOkOf4M5lBv1JRYazqNHtnmGhrppCjZOTrvxC69PH40Jr0zC7cMukOx2MG2Z0+dwpTJE/Hx++8xAzTW9kQzw2OPmbpBmqDxBAtjs2mrZ561SU/WYBuMtqjDkz21meOs1UHW6kROrxEScruTgYUHhj+Elq1aYfiIkey95EdLM0L66JPHj2Lh/PnYuXMHruvVC7fdegsqJScx00ARgZiSAwTm0y5mYvLrb6KgsAgTXnsdoZGxKGEych8rA8gv8wpmm8vJyZX8YnY+1r41DvUGPg6EJ7Je26x2m8nJyYmcTNM8uPDjFLgvHkXCtU/DHhrNWGzGZLv5llbeX5sk+bz9jRqzLFBCJi+tcmbGIpkwh2b+YnfC7iTGxYXQ0DAcWPQkUir8vbXaPxy4gE82nebjnOYroY99JjNI0zhpbKUpoD5G8uvXHtRZlCVY2HjmQVbaGZw7sh8fTBiPRye9g+sHDLaMi3r2Xn6OuDfFfaqJtAzDMu2xCiD0GjTtHJnLQcwlDUaQJQzWTGBbV1cZQQfVwhmmaAaLLVmOSxcvYN333+D6Ox9UhjiyJpu23AiNr4z9CAK0qUYtjBjrECdiwml1ITbMhffGP4Dnps1CxYQKiAqx81ptRwDZ6Wfx4vPPYd57b4uWSYUIMNk4Mdr5GPDUm1j46BDGHA6esRDbTqXju8G9kAQn3HmlmLHzIDpExqK6z4WyAi4dp97ZtBKTzfwTBJtNK32nXwPZaIAoxCOk3J1icNzGvWB+BV8cLhcmndmA2IpXbvn5ny6+i6fg/8PabG2xguxyEnIpEZcycvF6UaNNgGrv8dOYtugHfPYEeUTw18z+6TeMnD4fH465A3d0bVOOtTaziFLSawBqZdAlkuamLiKiI4j8W8VmU7KSSaudsIfQGsrmY9pSX+IX536Pd8bcg/q1ayhgY4AoaxLFzGqrvt7sV5bXiv32ucswdc7X2HHgKKbefzPi7QF48gvgyS9kILsspxCfbz+Ijecv4bFatRHtsTEGmJRJ9F1lfa+NSrOov7yLvo8DHhewMvMS1mZk4urKSRjcJBWJsVGC4RZgW8QmfH9kvTVnrb1uL4Z9uxY70zOx+JbuqBwRZvjXaPXWOljWmWy5peef27EPTzSoi3BKtuvmZ3pNNimuaF4iybhgPlnyTRgMehxOPHRwHaIqkkrk71tWzX0fYWd2o3n1FNgZ22tkFMox2CrhowFweSVo2VH672x2Pn7cfQQr9x5Do6opGNOvM5IrxGkScMMbhmKS2Ss3YsRbs/HRk8Nw1w1djd+zmnxxHco+2RJkSxdxobI7nX4Rz77yGuvb/tQzzyAiKlYkL8yeGvq4rl+qsguFkYjm46+40k2LnuTVE7tKTq53p7AYY8r344ytNmdqnTaIyZUs9qH9e/H2tDcRGxODu+64He3atmHPq3GGvaEwI4SNERa/bdyE9b9twOkzZ1CzVm1c07Ub2ne6BuFRMSphbGzNddvUnm/s/UOwb8c2fLTkZyRXqWbCYnLVZeXBiCx5nORi6FuM1rfBCEz1Om3O7tug4l9Sq/2XMdoX8suMi0OrOQva905sdFUtP3X8ScPNtfxfGwC9fAb7yP49ePflp9Fn0F3ofcvtRj/hcsfWBldkBJq2uoq9ZvP5s5g46l48O3M2kzBRWoiVMWhJUsY4yi93GZBvnHQjGSDZJZ4x4TcbC64o4ySy/FZWm763+oqXkY2qbyKOda26DZFUkQYt882qVnFBGfUIAXy7eDFefukFw2Fa1OSynwWjTdLg7KwcTPjwC3z54sOiTpukwwQQ3NwpUwJtaXgmwDYx3NP6dETfz77HiG9+wRu9rsLcXUdxqagEtzesheGNU1UTXF+Z5j6uTSb6sZVRL/ULZCyr3spZHCvWj1BrlaACZSbh8qNox2+I6dIHf+eyOy3P+EFTO6inBOPMd433XZfZSHmTS8bZQd9V9I4WtBCL8Fmm0iST5uw2HyACOLxvN157bjwG3HEP+g4cwpUB7CWCNtO2RF5Xr1kTpWVlOJ+ehqoVUzRHVyEBF0BU9TYVZmdskGVUHe8yrPofl5PwWReLNFFjEflzxGrbjP7a9N3EfRDqcGLOpx9j3oKFuG3AzXj+hZdQt349ZGVmIf1COtb9sgZbfv8dNWvUwO2DB+Hl554EEyKSEQ7VjxK7IQJTcqKVEwV9t8oVovH2lIn4ffsuPHDXELwy+Q3UbtBI7SKXchsgjCVFbLG4ZvjzWP/RK2hyz8uwh7sYmDQpH6m9VvdHcP6bp5G78SMkdHuc9WNmQayTs9rMLI2+qchcc8mjlJCbF2PK0MADe60pIyUCRJ7ssDucfLU74QvY8PmKnRh/xzX4O5cf9l9g1x67thkJbwQQctKXCUXaGgx2ef8KndlWf2NhtBXI9pQxA7S+dz+E8LAwfDr5OVx36524bsAgU4LKSGYZSVAhIGBjMTvSWnBnBcDBgLDfUgtnfE/ePot6eNNjnwTdqtWXmK/EP5IF0Vt76bV2HFzLrdFzes+WjSxhdcNdDwoHWN4jntXt0VY8Zr+TJVBiywNWPobw5AjgFH/jEX83/KWpcIRFijpAch2n3tpASqUqbF8uZOagUlwEL/9QQS2X0dL1SAznu4OvRc+3vsAjyzdg7nWdDFGMqSzXUGQpMx45p4qfawTCcRalGtA22OvgoWr5hdRYGz9aiBueH/233Qfscy6dumzsUG4xMXhWFZDcam7iahXPCaXMi58sxozRdyiQvfPoKTz23iLcd10HDrJNsnPORsv30c1JjTpjnkQ3HmuycZko10CTjcY2n58xwQZwMqc6WteshI/G3IGxHy1CmwapeGxwX7jCwiyqKf3A6LIlOUdpz4nPZhtSM/2+E2/OX4IBHVrgs4cHwU99tXMK4CEWO78QRdmFeHXdDlSw2TEhtS7Kir0oKvZwaTWTV4t+3yJJ6HTa2Uqmi65QJ/pEJ6JfQgq2Febh2dVbUSE8DLc3ro0mlZMYGGdJfqeQKrN9FGwzHZdAAG/0uho3LVqJ0Ss3Y37fzgjRWFoZePL4R8Q8aiCS+WL+XYn0ccj5QFwX5rZgorWXxc/B6FFP1YJubPt0Ibo+Mwp/55JcloW5Ww7g5S9Xo3KFGLSuXQWpFRNQJ6UCkmIi4WKdNURsJOMKcf2Qq3tmQTEu5hciI68Ih6lU8NxFZBYUoXJ8DHq3boh5Pa9GZHiY0edaJfYl2HZi1/GzeHTmfNzfrwfuvrGXuRZbbz8qXfGdwjdGtOwqKvNi6jvvYtfe/XjxxRdQt0Ej+G0OlhQ0SbrFVpKJioUuVzZoUTn9gYxcvyNU/MjUqiI2oLlfxZ82E6g3zYGq/JQz3edPn8Tkia8gJioSE198ATWrV+ZKV28JbKqVoOH6zK9VO6onxeH2/r0xqH8fEE1w/OQZrFrzC8aNGgG3x4N2HTqh1/W9UatOPRbfqLlMzptOG6bM+BCDb+iKlx65Hx9+vRyu0DBDIm+pMzf5owQhao3jY5Qr6/FSsMUEJ6hrVXYxGqZE/zMY7bwSD/ZeyDc5swab3nQALhcrAOHP6dJs83sY84z5F6Ulxbi/X3dEREZhxpffM8bG+p76B+mSP9ru2LwesfGJqFqnvtaXVLPEFyebsdkUdMjgRLOxl1I+WGUdptpEc62tLnO0OuWZJJKXYbQlI7N2ySL0HjhEta/hvbONrJVugOZ0AL6yUtx9xxAs+Xqh6CnJmWzFaBOTXVbC1gdemob7e1+DtqlVmBkar9cmkO0WfSDpsQayFdjmj386cgaPrNiAmrHRmNq1DerHRWu9HS0uk0FAtrp45EayX4rJ5sGblCHRxDZi5WbGaPNJjjLLfMJzJiQhZdREY9L7i5dzuSVYtOe8JRgPXlKgy1fkRtVzatdFuevA5IxcntmmWvqRN/dERFQUPv76B0RGRBhu5Fp9ttzKv92y8Tf8suZnvPTcs7ALYzxep82ZQW4kw8sIeO2+rM93m+sC9QyVYKu5TEtntHXXccN5nEvVDUkgM0hTrLao3RatwIjxvpSVjUmTX0N2djYSExORmJiALp074arWrbiJh+oHzh3VZb9wCbL5/opEAqsR55Op3+FCemYORo5+DHffPwydul/LmO1Ct18x2+RInsNqtrlJWnZ+Mc6fOoHcixcRUa0pSku9BrMtWrgUpR9F+tIXEVWvG6Ka3siZbGK03aXweUq5WRo5kave2qK+UIkEzTkJ9VgkaYznpIxOMNnCLZUx2mJbtWIF7Pr0YWUi8lcve9Ly8NTS/SZXcFOLDc3UTE741p7ZxnOaV4GlxaFet83KKzxurJgzCw1aXYXGLa/CU4OvY/fC1PlL+b2gM+CshQk3DmTvqytO9HSQzjJrjquqp6g2R+idKviZ4OOV3D9z5wizYkWOA1bmwhRsaJ9lcnQNBJCVkYHpz47BmGkfwxkSxo2OZF22qMkm3wGSjLOabeE6LOczpaix2RDqsiPUaUdYiAOxxGaHuxirHRPiwEfPj8KE6R8hJtSFaOZAbmes9m9rfsb+3Tvx5Mh7YSstpCbb8BflIVCYhztffBvT7u6DaL+H1WbvOHQK/T9bhiENamNMwzp4f9dhtAyLQmoglDHajH1n7faI0aY6be48zhhtAgWMhfPjR1zC9bCy0WZOQzFgpt9rSZ+K8Zh+ZgucLtffci/4C7LgO7ThX/ujciBbi7B15pllZTSHcfH4yzWbcSYjE2MHXsueLy4pRfsxkxEVFoqfJ43iTI3OiMvHsj+3lBkTiJZtp/Q5Xhqa6i06hRGa2EnFaDNVmWB4GdOrnLu5e7c0Slv02y7MX/M7XrzvFlzVqK6hdtITDSbdpzWpyz+XluNn0/HMe/NRt3ISxvTrglinDV6qxy4sgjuvCGW5hSjMzse41VvQpUICOofFoLTEy4B2aalHuDbzRJWB44W5LCnHqLsB+ROEOOAKccAZRgZpTpz3ufFtehrOl5ZidKuGaFIxAXYBuHm84tDUAvyY7buQhUHf/oI7GtbG+LaNzKSDlH+XY7LN7b7Gbd2NVxs3Yn28qS5bMdmsLpuboJFhJ3mI8DZQolWexmgTSAytnIJxR35l5+zvWHyXzqJ07RfqnJ67lIs9p9Nx/EImjqZdQmZ+MWM3dTNQCVPoRzL0S4iOQHJsFFLiolGvShIaVauExJhIo6RAGOPymEOvs+ZMdbHHi6sfeAbRkRFY++FkhIULWblTq8WWqjrNI4bYbPIX+Gb5Snzw6RyMGDEC1/XuAz/sHFgHbGxrjMsG2LbKva1qJjNBZmCHYOy2xEjcJK184lfGnyp1Kz1qxWca3WuM+I/ioXffnoYd27fhlZdeQP3UWsKvR3j1CBJOxU2aGpDHbQ4Wu7E4SvUMdzATzpIyD37bvAXLf1iB48dPoEXr1riud180ad6CkSg68753z24M6tMLQ4YOw+MvvGKw35p3lgLb2nEwSrnMamkz821WRJhGDCsNHgDrqHFd/eSgXmD/dUY7Lb8kKO1uBdXlauD4s6bXGNkIyfKWR9qK/daWmVMnISPtPOYs/wXREaKvpokd199Cd7Xja+v2nbF3+xbmgNe8Yzetlo7X1UlGm2XUL0vUGSBbZlskC0aZS5m1YpYzguHhNabizdhnaGy+Nqlo/F+5Q0d/sXHVcvS5dYhR36jAvWSzjTmJeM/NW35Hh/btOBNJqwQgwnGaMsHkKL3jwGGEOB24qm41BMpIRi5YbLZ1w1/mEWCbJLKadNzjZTKetzftZQf/nsZ1MHvfMeQVl8JLdXjKQZMmFKPno7wIrPIaJRdXI5D2vLjJGJstWd9gFx25NxbkouzYXoTVa46/Y9mdnq+FysaiqzeMs2a+wXlALmpBWS21WEVNDXspBer8xXyxMtu2AD4V98JHS9cwaR4N+pwtkgXg4tNEHbAc4K5q1x6vvz7F1J+UDzAaa6BkyEY/U/ZYlov7tRSsGIT5e1iYBkVi6wGUfv6kMoGApqjT1qstaX/8ASRXiMfbU99QLAxXNAiFBmtRJluViUlCXuOyBY5MDEi2ntxv6fMCflROjMcXn8/GfQ+NZF+tY/dr1R7oTLX+9bxVq2P/4lmo2jmA8GrNTEZXtERUqov4NrchZ8sChFZpBmdcdQScFKg62coNtIjV1k6r3zguZr5aeyzVHuIHo16NB7kUZNgt64XsEvy49QT6tKuDv2NZsicNPgJvIqjwM6WQjX03uf/ylpZgOWjvS43xNruQG2A14Pdi8/LF2LpyGfrd+zAGPTyOuajOeeNFZF5Iw8xvV6mEkykxpXplGyBbLvr9qRvJqHlDcwDXS410AM7PB79yfYIlpqCLJHosMNITrZb5UTIXin3SALXeR1Svzz5z4iiGPPY8YwIkY62YbOFEawBr0UNbJZSFGZrsO+8jhiUAp3qfAGO1PU4H64F65NBBNG/aVLn+U7DZtUcPvDtzBp54ZJghARZr1xYNsHbfcfRrUpMBjiZVkvB4h2aYsn4XrklKQHxICHK9XmYwZJRXaWy2UASw58SxdVFCIGBHAbyIgtMacVge6SjN/LvfLhzH74uWoeOdA/6We8F/8eTlf1kuyhNPBwPZJjm5+DvTa/iYVlhcgk9/WIclL49Sz784ZwnOXsrBxqljzSBbAmvl+ixW2YaT5OFaSRjfSmZbypxF/2Paat/B7hDvRVu1r3zhCg4+9rMxIRDAoI7NcU2TVExfuhYT53yLu6+/Bm0bpsJDpWheH7ILCnEhKw8XsnPZdR8dHo5IklsHAihze1BUWoZdR0/h3MVsVEmMxyt39UXtCtHwl5XCk1cMT2Ex6+FelleMgqx8jF+9BdcnJaF1SDRKCspQUkog24eSMq9RoqB9IboWyViWrQ4Btst8HGy7fXCGeJES5sQj1Woi3+7De3uOIfzQKYxu1QAVosJ50oGOvQJPHDA3SozDmDaN8Obv+9C9ekW0TpGOx2LGU0iBzwMBv5iJpPyGAGwgwMY0Zn4mQLwB5o2WXybZroXRpp9zzqZj39Kf0ezm6/B3LN6Tu3niXVwL1VIS2CpjZ5M0WR2D8g8NNlWv2TcSzLACbSYF53PhC+8vxNmLWdgy/0WERccY5qysI4oE1oYxKwPZdicOHD+F5155Da1atcRXixfDGUpGeRxkWx22Dem4GWjza18H1OU9O0zqLs3DwxpZyiFAqXyErpH5PVmYHGsHFkPVFcC5Uyfw5PhxuOXm/nhy7mw4CKX4ygTRItv8egzFq0zMKbpdHnPRDk2sRJA47C5W1npDl/a4vltn+GDH1h07sez7JZjy6gTUqFETva6/AR1IYh4WjjYtW2Dc089j8oTncV2fvmh1dXutntsCtnWQrSUZBBIrpz7jz5lZ7cuTujwJlV5QhsoxnLj9nwFtmsCziqhti3WK0+rbgkgltF+ZF01Szr+49VUa9BYHdNvG9fjysw/w+AsTUbdefcurpRzdnFEyTgAfYEg+W69xUzz34J2o06QlwmPiDPmGCDwY4DYVzwcXA8gsksGmi2BTs6+Sn69chWlh5Jo0/zDPrexnYaqmErni6BTkZiM2PsF83OXhlIBbMRX8uV/WrMbN/fqKiZnAhwG2CWRL6fjrcxZj8jDelki6i/N+kLxNBYFsXxk9xxk72pIb4WfbD+H3cxcxrnUj1IyOZKzezgtZeG7DLizs3h7hdBMqNlurQwpKZNNNLOTidMxkc2SWrBA99ERiQmE844/Lge3inev/FqBd5PbiWFZhEJgtFi2TFkxpoWSR7BwHTEDbANz8ajJVTmhge++W9Vgy9yMMf/plVKlVh6kt5FVHcnMlebYL0GMzBh8aKFNTU3H46FE0qJsKGzMj44BaPrb2N+WAmwvWFNjWvpGR8TQfByNAlPGvIYvk178RQDJ5tzRIo/2kLWmTaL9IpEQ3pgLafg1UG9exehwUaIvvRN9DGpI5fSyYD3eG4pP3ZuKu+4bBFRqKth27wBfgmX52DwsCh9+n9CgG1z76Gg5tWIWIMIfKIKvMMgKIb9EPxae2Ivf3OUi89hkuIXf4GOCWLyPIY/dxIzpeWiIDYmsQIo+zqFcTLW64dwGvjWcgm7n58mBDSulonbNy398CtKl2/dcjmWy/fCyJwc8rk7Wx06WzjLraR2vXJRQaOgOsq3oIXB/atB67fl2J+56ehJjoaDw5YzbrQUoZ+/1bN+L7eR/joadfRp269YWyR7DqWo95NT5eZl4ysuPmiVsHvJdz/paDAUueiDYtdAwIYDMJufhZgn19XJdnWn2Wcm0V4FoofeX+fPPxDFxz422IiEtU0nBdLs5AMvMWkVJxY+WmaiIpIGTzXr8NDq3Dhvw7eo/O/W5DUVGRhbUhdO5E/fr1sefgYTSvU0MErlx2eX37lnjxg4Xo37y2cv29r3UDrDxyFi9s3YuH69TEpYJS2ELIFZjLZHWwLYd9faX7pF4gEsdQhJbQvTeCRRe2oM+44WdAfc/cb/4WoE0eJ4Gc9Mv8Uv1T3uzsz4JsbZV1rK/NX4axt16PEJeTjXHrdh/Gu8vWYsp9N6F+lSQzyBYyc2l2plhsTR7utzDapjZUrHuIaCNm0Gj8KzjtsNNzzmAzoiBTxL1lF+aQlWIi8NrQG5Ff6sa8NVsxdddB7r3gsKNCVAQqVohFLWr3abcxYF1YWMQeh4a4EBMXhWtv7cV6I5Pxmq+sjDHYvpISDrLzi+EuKEZ+diFjsnsTyA6LRmmhByUlXt72TngDXA5oMzabVr8NIQEg1B9ACK2+AEJEyyyX14+oMCeerlMH+4sLMXbtNnSvVhG31q+JUGLyHYa3jFyGNq2L1afS8Mz6Hfj2pm6IIOmhTLyzgcAoHWPxQTBazlTLbSgEpWmvNTGn1DJyfGGAHVj/3ty/BWgHSovgSzvOlQpBEkw8bxDkWtHZLT2RL0vbdLCtHMXNddky8bdu537M/HI53hz3EBrWJ9WEBIai04l4Hanb+NaJnMJiTJ72Js6nZ2DKlCmoUr0mWUXCLdta6XXEQuFKwFsv+dEXU9chU8tHPhdQKQ4vkTJidjJ7/SNi1cBc0iTVCH2VokrMfbIW+4u5n2PZ0iV4+83XUataZdZ9iLPYvMsMb/FL8T9XONJ9JctN+UkVCR9RosZXLr+XSQuwVcYdLrRr2gBXNeNS+6MnT+HHlT9j7mefIDQ8HH369sO9996LVSuW46nRI7Bi7UaER0ay+YVfu5Ssltcxn1OD1m3r5VeM/eZxru6dRAu9R7BW1LKk91R20f8eaKcXlJrVPEHuCclum0GqeokpDg8OXYMjcdqUlpTglSdGo037jrhr2EO8NtKyGODaOKD8BIlabBpsAISHR+C+x5/B+ZNHUa9FW2W5z1lonUQ1mMfLXfdqcBPASWYeebZJmBNI1aqkzGm8ENldnrzkwaiRJDCK9iVTTv/HxCdg9CtTTc+rcUexRjKQ4zfb3j17MeHZpxXIVhkqvwG29xw+hoSYSFSvEMPkyHSjsTZeEmwrwC22Hg/Sswvw1M+/s/ZcM7q0YQ32fKV0w/rxUvNGGLx2E6bvOYKxDepq7poye6+OnumiYBOSX6tP0q4zDrx0hpRfI4r1LLcCnjNH4c25CGf8X2t+cyCjQPT3tBSJiK+kBgBxgVizaOx8WSTARpJFXE80OAZjsu2Au7gEs14ch8Zt2qPPkPsZU8WvXq2GW36GGHDUYMWCVrBBbtn3y9Hg8UctwNpwduVtuwyQDTvfEQW2tUU3Kyl3MMotBvQSkQX/kW3oDmW8oDi39B4aqhcJIwmUDWAtwbaYIJgkm56XtYkSaIvJWcmjuBkZHb0IZxhmf/Q+7rz3ASQmJaFWvUaqu4I1F8jvs1g06XEjfv3sTSS16oXQCjW5A704mfSRyd0exrnF41G473tEN79Z1WjrFwPd/36fuIPFgTW1UZPHSmew5fcQDD2TbgpwbQ+y/nYgHcfT85Ba6a81CFy6+zxztqbgmAeLFEAAfpHg4cfCGKBkMlOVNKg2XYa5GW0ZWPWUIvvCeVw4dZwZnQ0eOQ6RYaHo0ru/AuTeslLMfOFxNL+qAwbd96DJ9Mxgws09si1XqHpgzY6b1VAawBaSbiUnF+dbE98I5oLPPT5Vr83Zbr3to74vuvJKr8tWwQYC2L5+DTP1jK6QpPqnUukTB9oBE9hWwaBgtaVzuayll/tqfC9eHkWvlcZqlVPr4+iWX01mbPw72zDgllvw1ZLlaDZ+tNEOxxWCKilJrK6SJUyFcaXT4cTkLm3Qf/HPWHsxE4mOEKMkyMLqcNUB3ZNaXXsggKoIww7koxli+NioTl05n37Nqdk45wdQgMa2KBxbsxGXjpxAUr3af+m94L94Ojh40PftLwDZ8rmth44jLTMXvVo3Uq28Rkyfj86N62Bk705BmGwDZEsXcQNcayx2OYCt1WkrRltqCPli9zsQcArlmv791Ikpz3xIs8pol4Pvr7XMS5fQBzlmrF68tJh3QSkphZdUdEUlDGC784sZm/3UL1vQLyUFrVyRKCaQXSSANpnvUf92CbQFU2kF2hJsE8j2OGwIpfuJ2H23XRwreuyDP8yJBqERmNq0CX68dAkjV/+OWde0hSuU123z2m0+AFICcHLXNrhp8Wq8s/0gnmnfVMSO4tiIYxW02lPGxEbAaKrPln9XLlFIqwDXcqXfHV69AbvXb0Lzzu2veN3+q4v39H5x7kXrsz+7qDp8DWhLt3ltzlMJc+UcrpmfORwsifLgxHdxTZvmGD10EOuDbRivcuZbtRalBLjNia+WLsenn8/H42PHMnMvav9JyRdirFXfaI3NZv2jxTip1xaLvWb/6t03dADM5yawBCyfLyXY5oowwgbW+UEdIvmPTjhpgF6WDkolF7UWHTV6FBrUq4vFC+fByXrNc2DNjXB5eSCZ4DKQLboPkdKVq16FYatUkrJ2ywJos+PHy9UgHNv5Y1nrTsl/bm7bsEYVNHjofowZ+SAyc/Ow9PsVGDNyOCrEx2L3zu14/eXnMHnqO+KaNcC2tdOG3lZTn6vZNc3iDh2McxBtNjaVX0X7PQLIKvagsMz7H7X6+o+ANn2J9PxS/jgI2Lay2MFquM1A2yr1CvaDvgPAB+9PR0Z6Gj5a8A2r3bC+wMhQGDULjFXQAhdJM9OrGzVvjb07tuHkwb2o0aApO0GUSdLdwhnIVoCWX9nG/pcfBI1ifBLCyh0Qf6EFzBIwyv3TW4dJoBKEy8L2X1fDW1qMHn1vMgJXLZAwy/mplWQZQkJD2I3HZeOCzZagm2WsvPjk25UY3rer6o8dYLVZgr2WjLYGti/mFmLcys144eqmqBYZLuq2hfOlJ4AKdgfiXC58efoc+iWloHZkhBlom64fg6Wj17Daa/Xl7BrIFmxsub/XDpDGZsuDULpnE6K69MdftdANuz+jQPT9NhQPquTAcmkYUlRt0dG1AJt+XUYeBFzrPy+d8x7rM//MrHmM6eEBggGwpdkGDbbGwKSxCgGgY+dr8N67MzHu8cfMkmopJSdwHSCGWwBsu59NYBrs419F10hJ1zor2FbfWWZKZGpUstoGcueKBbouRbCsnPDEBKZaY1lBtscEtJVaQ2eIRT0XY+5FwoltxTeiez46LAzvz5qBex94ELPnL0JYSDh8LgIjDk1KzME0n1z9aNF/KNa9+xya3T8Z3hAH/z3LZQUQEpMIe1gMio6sRkRqR9gjEvkxM9U8GVsGxNljaTYkj5lhRsKAtZT2MwkXZ7QJUCugTT3MZWaZ9TN3Yu6aw3jpjqvwVy0E4JbsPM/LQ2isJCBH5l80B/tJPi3AtinRFNzDwqjv5oD00tmTmPvas+h794Po2Ku3AZwt3gPz35+FzIx0vDXnS9YP2uzWr8n2LhO0KEWSypsZ1xrfb939FEFq5USNtjUxKJRRtLJAil5PAZRqX2aw3/qdUl4qbmamigoLcMvI8VovU2l0JvqZCvBdjnXX3kvVtomzwb+fJjWVfyve65elX6H11e0QmVhB/I7L4lu0ao3Xp7zGlS6C0bCJtWntath/PhMN4qPYuEGAOyU6AvGhIfgp/SKax8TAllyF+25oCRF2fnXpuJCPy/GsQSAS25GLq0CSW37i5BmTzgZyjtanhhL4cB6laEtseCCATR/Mx41Tn//L7gV2DC9dGWjr5mH69fenQbb6HfVO9+CFTxdj/rMPKun5tMWrcD4rF989P5xfV0IaLuXiRk9sv4XFlp1EzJJxK5vNtkJeocq/xCIr41g3CJI1q4Sg3IozoQNvkeBkJQc0YBIAUmdM/97y9SJxLVl92lfhHeMtKYWnkANtTwGB7VJ8uvMwmkRGoXVoFPMCcFNdttvLXfilw70ATAU+H37yZ4r0LuBFAJ3t8ajmCGOKD5+DrnmbGNspUatLEI3Yxgkn+iQlo8TrxU+nz6N3rSr8G9nNxyMlKhzxYaGYd+AEBjasifrxMWaFAKt0MogbfTGVvajPNo6NSR1pSeDJDgo8cQe4/X689/JreH/VEvxVCykefGf2X8ZJXp7f8g919lqCaVOLN90HRrXukuyqGIME0J762QKcy8jE9x9Pgz003ADWwvdF94NJu5SNJ5+fgDr16uHrxd/ATp4XAmCbQbUBtNlWdIVg46+metKJOsMA0/DsYGU6TOXEvXd8TPXEwbYEyixJKZKN5eqGNaJG/ixb+dotzuIFuTl4aPgDeOjB4bi+RzcDXDPWmoNr1nmIkWvc/JiBbHos1K3UftfodsAuZh5L6UoC5dbuFC3RqPc4N5Rjc4Jwb5esd0pMBIbdORgP3HMnTp05hw6dr8HsTz/B2TOncc+996Nbz14IDQkV162FLFI12joIp2Mo5zo5p5lBuko+SWGkxIlGQI5TOcVoUjHmfwO0M4vcbGCStWX6ooNsw81VZ7UNcG0da8uNvfrz2nLu7Gl8PPMt3P/QI0hNrY3PPpiBeg0boVPXHuovdBaRufkSaGYkMoEgQeOJgkgWyNqBytWq481nHsVz737OQYndmNSN76EBbj3RdoVFMpkcbIukHisG5wwdP8l8n5XEXE/gXuaA5Fy8gISkZJMTss5qm84JgH379qJZkyYy7WleGbPmRUlRMY6fS0eT6hXhl9lhLbPNVgLSAmxn5hfh8Z824em2TVA1PJy5iPOJ2WgtQfLxeKcLuXYPph45incaNTbmCgtSU0Bbk1cpX20hP5VbkkErFrRcPGNwVRwv8vcrO067y40AAQAASURBVLwNkR1uYCYsf8VyOqeYZcIlUJAumep6USBKSN0vo94wMLYIthUeJdaJS+iDge3MtLNYPnsWrr9zGBKr1sC3n72HWvUbom3nbiJwB7wiI0qDPiWPTBOtuDdcTheSkpNx7vx5VKN2N1rbLRvdHASwqc6CQHbA2HLHa/UtBDMmD4AuIde3OmDUQLc8cxJ3i+uUgW12ITBhtfgoYRSmgLYhF5cAm65d6FlY2ko2mwFtjbWXxbfiRLDPEUxxxQpxGPXwSLz2yot4YeLrzGzQ67ILVtOhWiRxFtGJxORktBo8GnaXHR6SOwnHV7+PMxmO8Dj4SwuQv2MRKnR9jH9nyUqzDDYHz7SVjDdntA0TJK5qkUBbUxuIntmqRpu19uKyLdniS5qiLd54Ck8ObIXw/yBjqy+zl67FhVw/Z2soSUbfmcA19RNlW1JmGN9BJQ5MDKa5NptWOrdpxw/hkYnvIKli5aDOqbS9lHYWCz6YgTuGjUSd1DpY8Mks1G/YCJ279TCZj12JyWaTtUp6BU+WWRf5NQzAbf69KnORJSGC4SbwQfelZG1lUowdDxUUa8Bal8YFAtixfjVqNWqG0IhIjUXhUm++WgC2lJXqwXc5BY7+Oy2poLHXtRo1x8HdO5HcrTtvZyP2ka616JhYZOUVIDFC1DzSted0olvLRlh38CgaXtNCGFUSi2RHQngocsrKcKq4GGVU7e2ww26n2EKe/4C2NaTjLBC12dAQUfgtkIPDKER9RBnHXPvXdC7EdjNy0MEWz64zun92fL4Y178yDiHUc/cvWEgyHigr/jOvNLZWMP0nQLbcvjr3OzzcvweTWNNYcTojE1O/XoXR/bsyV+d3lvyCxtVS0KNpKh9LtB7Yuqt4Ocm4nPe9lhZfqne26JAg5iYj2Ofu2nTA6XU2u4+psvxePg/T2AabNwizwscNNtY7hJ5Qvqk0fVPfW1yvsnUWJf/L3PCVueEpLoWHQHZhCdyFpVh/4jwOZObimVqp8BR54WWGlV64PdwQTG8dR9sf/ZlogRhUtIWyj6a+7Wv9WcgIuNHSTm7Eok82i3NFnS2x8j4/HG4aa3xMJu6n/r8OP26sXBHjd+/HddUrsfGRe8vIIZyP3QkRocgpLcPEjXvwObUoZZOgNukTsUD3sIhBr6yVkMItTU5uqmOVCp2Aady6gDLk/LaFqeT+qnvBn3GK3wuyFdufkofLrawB1muxNSbbJBcX7URlmy4BnE+lX8Trn36Bx+67HXVSUzHts4Vo0rA+enW7xgSyychr9hdf4ctvvsMrE15G4+bNGYtNHhXc6EzIxcVcL4G2Atcaq23169BxkDK7pRIdMc/RsedjGm15iREDi6xLEW25KpYfFekBIt5TAyE6uSnnPCkVTzt3FqNGPoSJL09A6xZNDRabgWfZ3pfYa258DAG0ZbchUrTm5ObiizW/Y9+pNFzI5l12ZPKDvktq5WQ0rVUVLevXQsNa1WCnOJtYbdZzXPQhJ7BNz5GqQP4slAQ0hyRFh6F2zRo4WFaGgrw8nD99AkOHDEJqah3cOfReNGjcRLQ2sySNrIlvClM1JpybpmnMuN+Qo7M4W0jG9eV8XgkaJEezY/jvLP9RZEVsNs+CCwsvcaPojTUuD7LLM9uqRu4K0nJ9mfLSc4iPr4BRY8fj7KnjWPfzSqz6YRm6de+pBUyG7FYGNCwYoMFKgC+FasXAk5SSgjaduiLj7EkkV6vNTXxM9RSa9b5iRUza5aCLYe0vwiepWpUAW9XL6nOpUY8bjM2mNTYhEVVq1jL2xSIbNx9bYNfOnWjZsrkhnZWtjmStls+HZes248aOrQw2WxmdGbXYtCVWO7+wBI/9uAnjWzdCLQay+cQsAbZfOF26/AHMaNgY23Jz8dTRw/j5wiV0E7Xl6jspHCYAtiaFYsdAtruQQJta+WgTh3Gsze9ZTlrrLoXn9EGE1PlrarWPZhbxulHGtuot3XiAzT5fMpCyat9yN5sIbZFR48wWHwjYNUamYEHA9qJ3JiIyJh597n0E504ex7b1q/H7mhVo2bErTwjRYMNaClHNrGCCRC2wbCAlD/ON/W/Ct98twagRw7UaKG50ESAGW9b1BwjASVdsLXmg2Gkz0DYZl8gvbHqtOsnixIl6UVm4QUGXbLlk04zPRIKIM9kCSLP6IrmlvtSGyR8LLvVAlb2fmMj1+0HMVPS8XfT2vqFnNyxf/gMO7N6BBs1bKzBF4INluan9iM/JZLplPieq1G2EDfPeQeLV/eEMjWMg20dtYcIjUWPgROSf3IWMHyejLG0Xwqq0NG4A9v1FgsNuh1/2sdXb8aistvnYlgfZYmWMtg6yQ9i2sCyAn/ekoV/b6n/JvfDlD2tQ4KyEmOoNeLtCIU02wLYxGZpvAVHaYnEap4l738Y1OPj7etz75CuM4TZ6X2t9sAXzPWvyC4iLr4ARj47HhdMnsHHNSqz98Xv06NnT7OiqRSXyvtOFr+w20wMXeTlfdqjnf20Es+Xvb/lArzPWJeUEsGWyTio72COFJ8yMdlFBAZbO+QDjps8x5OtanaBuziMl4ry+W2uLIndL3105F5nM37S6dH8AXQcMQXxkmOUzOAPTuVMnrN+0BTdf28VUp92hWQN8vHQ1RnRvA5sA2lHhoZjb+xqsP3YWozftxLwLabgnvhIDKExGybwpDLDNa7YNdtshxq8OgTisQiZCYUdNCENUpUIwglP5BU+jmL022Raq5snSvHwcXPYzmg/qh79i8WWeuXJ2RrsmTD/8KyBbXGtbD57Ahaxc9G3fXCXknvp4MSpER+CJAT1x9PxF/Lj9IJb+vhfdm9Q2arKtINsThNEO4jTOO4fIum7NyMoUcNB8SEiDFFl++G0+AZo42OZJTjVJm44Bq+0WY7tKhrIL03BIV8oTwcyzFlZuD7wlZWz1FBGjzYF2fl4xPtp3FFMaNIS3xAdPiQeeEgLZPjFea0A7ABzwFyIJIUhEKANYtDhhR08kYk0gC5F+B+rbIssBbTIRpGvVGfCx65dYb1JokHojxOlEYmgITuQWol4SV1GoJKPdhshQFxbe0h0bz2Zg2Pe/YcXJNPSuXcUkX2NGaKyczgyyg4smzNeIwdaZQyvFcIvH6ShDSmkodi9dhbaDb8RfsXjPHQ5yni2Llog3pOKXkYmL/unShIsOtm7EZXQ64YzqE2++j4T4ODw9+kEcOZuOH9ZuwLcr16Jnz57K7CwzrwAPPzYO7dq1x+LF37Axy8NML0kmbjDZXDbOy3LIMEuCbAmw1ZiomXXJ60SVxAi2mYFswWJz3w6u/JAeHqIznrgEZJmpMBWViis93tfUw/z9jbrsrIsZeHjEg/jg3RmoVa2KAtgSbDMWm9hrbxkzP2bdh+QqwPbclRvw5a/bcX+3NujbtwNSosU9IM4tlRodv5SDfecu4rNlq3Hw3EVUTaqAvh1a4NqrWiAkPJx3GXCFIiC2bA0JVe7ulPiIcTmxdukirP5tM266/R488tAwLP3ma+w9cBCz58zG8RMnMHjIHejT7yY4HQ5NVm4B3MID2HjO8jpWJsWPoywlZmZyPNOu4ruMglJUiQ3/7wJtmlSzi91XfI0aa68Ask2AMIhZmv5YZvhp2bltK35cvhRvz/oQcTHRiI2uh779b0Ld+g2Ys6wBVmRGnsu2lUxA1amICVgxh/yfgUMfxO5tWxCXVAJHaJgIiIyslAwE6WQoJkIwTAp06++pLzI5IWq1lQO5qDeWddr8pHMWkn8fvq/WAbJOo2aIj4szAWt11HTQLbZHDh9Gry6d+X7KwF3VaXNm8IfftmLS/QMUM8gmXFW7JeuyPfCWeTBh7XYMb1IHqZGR8JbR73wKXLNaJcZqE1DgWeo2YdFoFx2LT9LOomNErHJYNEmp7CIZIla7qOkxgLZgd2UmRTEB2rWnjzxab0oJ4v8qoE0DalpBqQDactbV3KJF0Cw7TbMBUAQkMjaxLjoWNZhe6THAr2V5rZzetwu71v6IoS9ORUh4BFJqpKJtj96onlqP3acyAJA1lLRlg7mqN9XZ7QC6duuOuz76EI+MeJBLqi39s7mM3AEbQ+8OblZmXHEGS6lJoS8vF9O/n5wxdMAtRbuyNlmMA+zlQuatDM4sIFsCbBPQFq9VmRkjGcCkf1pigbLbXPrq4RO2zwW7zYnRj4zEtOnv4o3pbZh80GundnoBhDhtCPXylkihTgdCnT7mShtfJRX5J3Yhvml31kqL1oAjgEBoGKJT26Kgeivk7/4W4dXbwEFBvzQyIzbeR+0xuEkbc+4VrclMLLC6yaXSxgDa+sql41y6xYE2b/tF65q9F/4SoE112VlRdXiNpMZcG8CzPAMj/RMM8xezDDw3Iw2/fD0X49762GhVKGqueasuXsdN68Fd2/HLiu/x2vT3ER8bjYTY+uh9402oX78BwigQE0GIca1q95k0RhGXoUzIivCW33/0PZj0W7ISPMA2Eq5abkkNSfq/xvgvpWl8HDZYbgn6eY5N3VE8N6tjLQCHdm1Fv6Ej4HCFMMZFB9O81ZhFGq6RgEHHTG0u5nNaeQMeCb6pBOnbr+bg/lGPq7ZmMoBp3rw5Vv64Ajdf310xS7RGRkagzOcTsnFqp8NrVcNCnbimagraJsTjm4wLuCepMhxeMsKj1c/YHdbKUCYLCagxVo+PEOz42O3o4U/EamQiBx40RTQDRvq5lhFEPjzYiwL0tSUbfbrFemj56r8EaDMFSu7FP4Wz5ZE1gWjxVLnfBQHZVIf9wqdfY94zw5UsfMvBE1iyaTc+GjMEUWEhqFc5ETe1a4oGlbkZmmwdyLe8xZfqnS1ZbgWkLY+ViZp+XelqLSO5rEq8dIMu6jhCYyC9HyXL2VaUx7Atv5a4hJwyc1ofaiUTl7XmYp8F+Cdz1nKr24u1Z9LRMzmJmZiVeX3MtIzKIFgCSbQKkkCT3rcKwnAU2SoBLr4Vk48XwYeqCC8fj+m3lByThYqOEkf7CwvYcambEMtbnblE61HWfpSH42FwoXvd6uhWqzLe3rIf19WpyhU9bCdIFUBzlSAitMEm2uVEvseDKJaaMt+0xiWjGwIb5SImhpsMduFFPURiz9Kf/xKgTfOvP+t8cDZbsmkaWDMCVx1MW9qF0rhiYbPLtQ0Vxma/7z3EQPVnb01EVGwc6sUlYEC/3mhQvz4CzlAG7DZs2Y6XJ03BpMkT0bR5K4O9DhCAJqW0ZK55IpPk9TTmMv8LBbSNdr+06m7XBu6RyVTh1yGPv127/jRTaHl0FDEoSRpBHNKPemchpdiiBKXWCpbKQx97dAzeevNN1K5RTRidiVpsUY/NVwG2GaNdCr+b2vxS4qoYj763EMnREfhyzCDY5f1WXMJLRjSiNDUmAnWa1MbNLeqyGOpsbiGW7zyMW5etReXEChjU7Wp0btUYTmrDTACbWG0NaDNfD4cLoQ4Xbuh0FXr36oYJr07CgL43oHmDOpg2ZRIKikowd/4C3HbzjbihTx8MufNuhEVGqnjWKI2SBKssFzbHvAxkU0JM4TARulPswrrdcEXzxcKyfxto/9sNVAlk0wX4p+eQK4FsLdAyr4aE0KjV4utbUyahXoMGGHjbINVP+oFhw9HlmmtEIGbuHS1/1vvG6XJDaRKgGxIU5ufgu0/f1ZxPjT7XSrom2BcJvg02WWbk+GJmqfWBTgP/Mkiyrlphv/738uCvXLwA504eK5cxU/thSWicPn0aNapXUzvz87r1eGnqTBY40eTpdZchMzcfKTGRos0XBygqky0y3DR5Ld53HFUjwtEyPo4x2STFsq6UNfaWaM+VeHFXXArS3GVYmXmJ93h0C/ZbOpjSRKyvlzH2+KMLTgfX+s/02HvuqNmA6t9cLpAhoFAgm+Susu5Sa+Gj2q2p60hzG7YQvkFhqUXOSesPH7+FirXqom2v/oql6nHr3WjQpr3hCGxitQwJqA6w5TEld+2UlIo4eeq0BVzLGii71mNSts4wpFqyRspYdVfQK2Sz1UVtCTbZ05r6QpOIM2dMv5CFC2dMZtgnenyzGqNyrLaUS2rXtnDS/HnLbrz04RcoKysxgXcbgQNqFRbwoV5qLVy6mIGSwgI1VqhxRRh4yX729Lhy4zZwOp3sdxRssdXJe78T6E5odzu8+RkoPb2FASaHKxQOVxhb7eyx/DkUjpAw1rKNP8dXu+UxX0M4Yy1X+lk852DPEdiWQNuO3w5dZDLj/3T5/XgWApEVUXLxTDlcYMF1JgWOuhe02mzWCqusDFExMRg1eSbCQkMFmy1Atji+rM2OWD+Y9hrq1GuAm28dxH6mPpjDhg9Ht65dEOq0scCBmqiFkYGRWOXfSoMj3gJMnycM+Z2ph7dYlcxdsdOyZZnhLqvx5+pS1+cAo0ZSJL9EFl0BZc1gTTqrZl5IR4WUKmjSrosJVCsWRZ93zMIg02JKHktFgd2GrINbcWjpR+wesSrm6H3CoqJxbP9uSwDDv0v9Bg1x8PBhLRA2gt/wkBBWcsaM+mSfZSqlcNnxaON6KPb5sDznEn/OodXoi/nauho13NR6yY5rkYh4uLACF3EEhfCJFKdd1GSTXHwDctDDlogQG6lVtDmT1Ek/rWOtKv/TJZB3yXDmvfIrgwcI5ca/YCCbj4nPfvQlHr2lF5OM8zEygFfnL0fDahUxqFMrlbAcfu3VuKZRzXIXBgOuWptNDoolkJZu4gawN7Hsf/6IqItSAW4F1nWQb6yKRRfxB9tqIJ+z6vw1lMxnXVDEytuQSibej5/PZaBrYqL4GzEP6uAaZlInysbTNEXw4hxKsBV5rFZ7G3LRFjEItWvJQasrvgDWzPDMZYcjxAG3A3j/+Ek81aYRHGFOOMNdcIaHwBkeCkcYrSFsdYa6WI/xcZ1b4nReIZYePSd6cHNAqcrpFIjn92/NqAicKi5RGPVyCks17liSA7oKpxg+RMCB/SvW/iX3AgPZdC+obhjaqvmJGADZkH3z9lxGL2xe46uZbDH5MWdGGWDTpMi0EnCb8M6HaFQvFYMH3ISAI5S1EHzwgfvQpUsXeGDH69Nn4cPPPseCLxagcbOWDFhLUO3xweg7LoB1qc/P6/m9vK6/TKzMeFKYRubk5GDd0q/w5YzJOLpnJ9LPnUFBQaEq7zGZaIpyH/VYd4K3tGJTLayslZKaUssKsukafXf6dFzXqycaN6inOrGw1qcijpIu46oWW5OM+0qLMXLGfHSsVx1X1ayMyV+vQXFBMTMaZKoRUZ7BSjTIdFCu+UVw5xeiosuJYR2aYeHDgzC611VYv2Mv+j3xOp6f9TkO7D8AX342fHlZ8BdkI1CYw9eiXKA4D7aSPLw05kEcP3kKXyyYD7unGHZPCWLCnBjxwL1Y+s1XqJSchLuHDMZnH7zHYj8d/0nzN91Ulc8bGu6j32vPqZafWqvkS0Vu7rvy3wTahO7/zBhrZJKt4FrKbaQxgBlg8wvEANbqANht2L5lM9au+RlPPPUMQl0OdoCsgNp4jHIH23Rg9efUQeePO3S7FqePHoKnpFgd9PSTR/Dxc4/g/NEDxonQwLYEt7pk3gCGotZNyQulZEeT9Ik1M/0sfvzoTeRcTDeBICVtFI/ZSaQ6Tiar1W827bhLZkIcd5qoXDRws1raAF6f+RG27zmAXQcOs8Fw16FjaFGnhhmYMIZQgm0uHd+Xdgkrj5/D/fVrK5BtAtslEmRziZa+1giEokN4DOZnpTMDF58uNWcGKwHLqmXPNc3jla57QwVh0vmrWYjarvgyTuM/Xc7llRo3pw62ZW9gFXQbBkzGdaNlIC3r5UGpMUme2Lsdh7asR+/7xrAJSQXb0klYDNqGjOlyRkiadCwA3Dp4EObOn8/DM9kz226w2bSlnpKDRz+LnQePmcG2adXA+WVnf4tGQ55TEVSePHMOz0x5G+fT0rlxn+iHzaTiqu+7ANUSXHv0nyWzLaXjVkdyDqjpvnhjwffYcfg4dh86rmTo6nNoYvJ7WXazb58++GX1Kj6miHHJNO5IwO20IyapIqKSqvDrgYFtvjqcNjicdkRUrIvI2u2Qt/tb2O0OBqbVqoNt8TNbQ8oDbBP4dgqwLVYOrnWw7YJDMdp2FLp92HYi+z++F9buz2D3KEniy/IumVgTuejKJr29iXIDVxOiHV9PfxVnDu5FTEyskonL48sBsh2hYt23fQs2rF2NR594GuEhThYIZ2ek48OZ72DE/UNxx60DmPzs3juH4I5Bt2LIbQPZ9smxj+GzDz/AsUMH2Pk0TdBU26bmIh3UGZMx7euZY4fx6phhOHFwn1ZXbO3PrYNtkTAsl3DVmWE9wOL3bPrZ05gzbSIupZ/HT199joKCXEuLrfKJM70cSd5tpkVPeKhEgg3Hf5qLvNMHkXf2qPq9njSha6hSjdpa6zEOtuk1YeERKC1zG2ZFKpC2o261ijiakaUYbcZqM1bPjkaJsWgUE41P086xUgOmAFEg2zDzoVX1grWAbbpO6toi0A8p8MCPNchioHs5LmI9slEb4bjRnoJYAlKaEkEmQMty83F6/Zb/+F7wX66lV9AlGJAWv9FZbQuTTdsfN+9iT1/burEC2Zv2H8PPOw/imUHXsWSFAco1Jlh7DzOAlqDXAMLq9fK6tdKg2nI8rwDjftuJg6J287LfU+yr0afOYMslgFYrA9laktTvx8mMLLy46GecvZRryNsJXFO7UQLb0ktGeMXklLkRTeVPwitD+g4EVZSJlZzsSSFB60EUYDky2NetYY+wBOT6WCaSVcJV3OFyoAh+TDh0CPc3TEV8dDicYS44CVRHhDKgLVcGtsmoNsSFJtVScEO9Gpi5ZR88rCe5BNkG2NbL4upER+FYUaFBJgQ/+ldc5QUntTbFufk4+ut/fi/4Lp5WSi09eW+MD+Z4QSbpTQBbsNNSDi4Bt03W97r0leTIvC54w879WLluI54bOxqO0HAEWJ1wKFtXrt2AfrcOQVLFSvj4k08RGRuvXMVNYFuYnhGALlMgW6w+AbbF73ZsXIf5b72CUrcHebk5OHV4H/u700cO4OMXxuCn+R8bEnTVFoy7lEuwHZQcMc0PGhYAcPb0Kbz+8ou4kH7exGrLRFBuTjY2bFiP+4fewwG2Moz1sFZeFCPxlTuMB9xyJaBdillL1qBVjYoY0Koepi1fj50n07DrxDnu6E9gW4BsTwH1qRdt9Ahk5xXBk1cIT14B3HkF8OTno1qYE2N7tsU3YwbhusY1MPOrFeg3bjKmzv4Sxw8f5mC7IBcozAUY2M5Hy9qVMOC6bpg4dTo8hXkMaNu9pXD43Ah1ALcNuBHLvvsGSYkJGHzLzVi+5FuF9wz8Z57PVRJdI8b0xLr13v4zKu6/VDpOA9SlojID8Mmb2tDYGBhByxTLQEMH2XxrZrtVDZ2FAZdZ9bdefw2NGjdG//79cerYERzYvx+HDh3C6VMnERoaiqjoaCQmJqJ9+/Zo2YqzSQzQshIH0ctUtPTiUgFrIxD6LiTvBF6Y8TFOnziBxKo12UnYu/EXxoLu/XUlKtdpJBwE9Wbzoh2DlFAF0ydaWzYJN3K2H0JCvmPF18g6fwo7Vi5Bjzsf4vutEtuG/TytHa/vx6TjeiAVFH+KfbFrEix65ZRnx2Lnrl1o06guM6v4ccN2XNumMc8U06QmarV4TTZ3Gb+YV4jJv+3C1A4tEfD4TAw2sdPEUnsFeGYSLa9hlsIMQADcGpGEx0uO4+f8HFwbzftiUg0nywSzftn8MavI07PtmpHSFRdLDYIC3jITzFjtw3BW+vfbudB+XCgoYTcpd8QmWaOluFPU4QsFOTvPukTVOKeX+Rpyv40f1O9Wzp6BSrXro1mX67jUlZk8iP2Q1zYpvIXEndc5kgO0NDXSZDUaq9ap0zWY/vbbyMnNQ4W4GC4TJ8drqo1mx9+PFb9sYPU43/38K1o25v3r+Xe0GNUE+WbmREIwAC4Gk0AAn375HY6dPIt533yPp0bedxkGSKfw+N9bnVfL6WTZR5hl15MfHISdx8+hdcNU64k2BcKkCNl/+KgYn2RJiTXYMmTQx36ai6Z3vyCk40KmrqkyktrfjlPzH0XxqY2IqtuFX5/MMMgOu8+pSTyl8RC/nySAMyeUpBmaXI16bZKMcwdyMpvirDorgbHbsO5gBtrVTcS/u9D+rDt4gW1dkRXgLcoDKsgWevyLqt3VGG1zUGAA7QOb1yIyKhot2ndWKgEzi82BNz2msfn9aVPQoBGfF7Zu/BWff/oJe8877xiCB4feidiYaHEfGtcBXb/n0y9g7/4DWDjvcxw4dBhJSYkYNOh25nhK0mVmVCY6T3DTMu4BqF+9v6/7mc0Lm1f/gHqNm6q5xW+p+5ItGs3HQpecB4mQtcTTqm++QPqZk1j3/WK4S0oQG8/Pl1W1ZCTutD6tzPWdH1sunaM5jq4jIWMXfVql2qbZoFEoOHMEKamNeMJQrDKQpxGr713DyufH2Nwmi6h0jwd+LTatVY3V7zVOiuNsNgPZJKF1whHixzPNG+DO9VuxMj8bN0RWgMNjZ4GKi2ExHzcIkhWrmnxclm4R6ygVZS0CMWheLtlvxB06E6mTAYeXr0btbh3+o3vBn3Phz7zyCtOYHjCYVwmKM7JzMX3xKix+aaQJwE5euAKNa1TCTe2aGGVh4nfB/ANMQ6Mqd+I/Gb8Q51Rep7rMQU1mwPr0THY9rTmfgcbJFTj7qthLCawsEi5dcVYuFguWnw1g7rqdOJ6RhUWb9+LRnldbddtqn+X7psZE4VhxMWo6KBHJ1UVMMUEmoAHeE1t1Q2C+AEANWxiqBiohw1+KDLhZG7hwB5E7PFAPlW2+HHamngmnMogQB0LDHHCFOhES7sR5ePHWkeN4rEVDtKiaBFcksdiCvQ4jdpUnO6mGm7dIE2y914fHe7TBte8txrJjZzGwYS0xZxptlWgeYYaTdhtaJcTj1XMXcHPFSuKrGxJsKwlzBV2Z9axjz9JVaND9P7wXMs9qJmb6uxuTgeyewbXQ1npsY/zQVXOc2dD7YDsMtZ3wVZk4/UNmenbzjf04yLY7ceDwMbw0cTLqN2iAefPmIzo2jvXFVo7iAgAbMnHBZgu2ukxjrpVk3B/A2u8WIu3UcVw3dDRcEZHwer0IDY/Evo2/oM8Dj6FJp564cOKQaPfF4xvFQpdrVVW+va/6M63dLy1fLfgcp04cxzdfLsTox8aZ1cIATh4/jqvaXsVvWTEeyA4rxvggDGVFeR1PbPF2vuTt8PWjg9njl/p2YkC7SWI8vKVu0V2I+96orgMS98n73iEIBlYi4YA9hMZ6F1okxqHVwO7w2uxYf+Qs3py3FKczc1G/emX0bt8SXVs3gzM8DLaQMDz3wCC0vm0EFiz8EkMHD+QKBs253GV34vaBN+Pm/v0w7e3puPfO25ncvDr5V4m6bDY/iJIwAs6qdItJ67W4ncnGeTwisRodu4yCMiRGcmPEvx1o55VSKwQ/m3RVRl7Wp6ob2XDAVveTNRDQQLb82QDa0jBAC8gAHD58EL+sWY3effritltuRv26ddG8RXNc17M7atasAa/bjbyCAmRkXMTaNasx9c03ER0djXuGDkWnztfw3rQCXLAaCQJ20r/DMgjx2i8X9m/diKJff0bvO4bhhsFDkVi5Guq27WySFUgXct7vjp4zBn0lHBTAWi7S/U7KulivaM61onXfIdj/yzK0uv4W4+ZjbXLEfikTOiA8MgpH9+1GSsWKV5RqBl0CAbRq0hCt6tUAyooYuN687zDGDejGzBACJodxXu9EN9fLa7ZjXMuGiIS9vFy8jEC2nwFtr5f3a6XBymBueI1Kij0ELUOisLQwE13DYnk9HgMhHLSSvNZP1dnMUMkWRD5uSvdffrG2E1EXmh2+88eAtvi3lxxi65n5CZdwGe3i+E0rze4I0Mp2X/z648BatRegce7KX4FvNTf5jFNHcWTrbxjy3JucdRZ9/1RLMVGnwjAyc7cMcOdxdt3zfeZGf1ajCM5sPfzIKLwzYyYmvPCceH9Zj02f4cfIe+9khhrXdm6ntWChcyKNyoJIwPUvVE5OHjwEePiuWzHvuxUYOvDGK1/UumpBBNoyKOStsmjQF3oAFbxxzT8PAB1oVb82WjVpwLPlOguvx5sA4uPjkZuTY/5ofdzTGVs7EFOxBkqz0uBKqM5YbCm7lBNnZMVaiKzVBnl7f0BMw+6CsXAwkM2M0IS8UoFsYXZkfLqB3Ezu4wQUhXyfg22DUZdAmyW07Db8evgSnsS/v+w7m4uMvDI4nXZU7Hw7nCEuU+BrLmXRyyUMEEcrBbDekiI0bHU12nToolhsAtZ8FY8Vu23DqaOHsX7tGkyYOBmPDBuK6tWq4bVXJqBqpWTYqb86rWVFom2bcQE5YUP1pDhU79YJvbvT/GDH2fPpmLtwEd6aNhXde/TAvfc/gPDIaNFv1gbycKJV7j+d4yH3DsO66jXQulM3lghgddtajR7dh1psZb2kTMk0E36xHOPeQ+7FL0u/RtcbB7FhJiQ80lKuRK3CROc9myVbH7DDT4ZULGDj5ko8TWwEcTy+5X8TmdoIVes1USUQUu2lE2bvvzQeEz+YZ+wv22E+p8XFxyEnLw8JES4Ts928bnW8/81KDG7bkAVepKygWlVHiBO+ED8aJ1VAvegozEk7hz6NEpns1sXiQyojEiBbtmMRbQ9ZC0gNbNMoReeLz6/G7a4P/ybQLdV1Uj7+wxrc8Oa/3+aLyR49pVd6hTkJWW5M40+YTBt1kE118j4fHnn7c7zx0G0IY/caB9MHT6fh512H8PGYIVyyKKXf0kDMlAQNvuhlHXL8ZLlJMZdSXbVBnxj7T3POkIY1US0tEh2rJCsTMD7OGAG3WQYtOiaI8VZnabWL29iKa2x4z7ZY+NtuDGnfVJvThYElK9ER4xxjlm0YUqcGPjpwHE/VSoXD64DTxY1aXer+lH1NKOqg2lzy3+AJ6VREsJW5N7OSBa58YSCbVvLlIIBNa6gDoeEuhIY7saU4H99eSMeUTq1QOTEWrshQtnKpOEnEyZDSOBa6fJ7AS5MaFdGjfg18tuMQbmteVyXiWAxF1zz53oh7MirEhTICfLJjiWk61ACtjDet51wbh/RrY8+yn3Hb2y/+4TV/2Ss9P5OZapWfT/X2bkY9tpSX64y34Siu1WHrPbI1FR3viU1tuxw4cPQEVq37DZ/Nege2kHBkFxTi1SlTkZmVjdemTEGVatVFK1RKX3AzR91EUrLZBLKZNFwCbQLXGtDevn41Th7Yg2uHPqLKQCnm7XDzXYivVA3123YWngM2xCZXwbxJT+GuZ15TnVQU6SY7q1jAtRgNLpsiueu+B7Hk64W4bcidQX9/6tQp1KpV0zKWcCtcoyRPlmQYpXQEujceOIY2qVVYzOqja7JiAhrERsFbQiBblGowDyZR8iknODm+OsQ9Lu9FGvO15Ko9xAW7y4XO1ZJxTe3KjAg4mpmLFbsO4K1Fy1GvWkXc3bsrWjSqjxs6tMb0T+fjnn49YQuN4GCbGHoBtgN2F8KdTjw9/nEcPXEKzz7zFNp37IThIx5myl8Vj2ttnSg+lte/1QGVSD1qeiCBNsnH/53l3wLaJy9kGYyqMGmSi064yUHBOsFdDmSrn3VmWwDsoqJCLPl2MV6bPBnhERF4dMwodGjXjmUdufMwv3jowqlaMQmN6tZGt07t2I164eIlfPDxp5g2dSoG3347bh00mAWfCmCLCU+CYRn3cysOP24acg+eGzkUXfregoiYeFzds4+qyVB9tZVBGjcv0wE0H1CMoNo0xwmwzT/JKMaPiE9Eu4H3CfZB7/1mBtn0yBkaip+XfIVOPa5TN6T8vfgI02KwweIdmByX174WFBYiKiyUNa+n2hze6kO4jIubaumBE6gTG4W6UZHwFhPwtsjFGZvth8fjU06MhT4fDniKkeFz46Lfzb5rqjMMzZxRmF18AbtLCtEsNIoBaiZ1Y9kmhwDZcuUBFR8nDM1XMKytIIiG4RTYVmDEhkBxLvx5l2CPTfp3bgWW4WJGJeIGVh8swLZucGcoKIzkOwPeso/7H+UMLEqPDd/MRXSFJDTv1luBbPYbGcAphp0PJgpkkyMqSZJYECGSTpoBn1zJFO2Tjz/CgUNH0Kh+HcFkiysrEEBYZBQzp2DZTxrs1MGXNL3WY9H65YKwGcFYC1oqJiVi3LC7tJN5RaRtBtzlAL2czLW/0rPmWm25IW+z7lMAEeERKCouNnbbaoSljXV0fdTvdSs89jDeG1MH2uJ1lE1PbHMjTn/1PNwXDyG8UhPeEoYZCMqet1LWKX6+zAWj+mprdXB2tTVYbGJ05HP0NdPzSnA8owCpKdS25l9fftmfoca23APrEV4hBXF1Wlj2TW+tpTGLlvKg+dMm4PrBQ5HQtIUwPrOAbB1o22345L2ZiIiIwJZNG/HqhJdQv3YN2FntfhmTxrFaNALbMnuv7ZBkP2SAVqNSEp4bOwa+sY/h+x9XYuhdd6Jlq1a4f/iDrK2YauOjdaGIiYrE9X37G31UxdtLkE33nyD8LitVlcdHqquCaVziE5Nx09AR7D3Xff81EipWRZ0WbU3Xm6k9mqYQoH0hsExzCP8sAjjmMibVDka4uLN6eKc0m7Or92TfjSS++rE03SE2VKpUCekZl5BQuyovPREMU51qlXEk7ZLq664CLpeLMdr+EB9GN6qLR37fid8K89AhLIaNV3QvUAbBZ3FIZsMMO24G2PYJsCBs0tj3M+ENDWSblBXi+dyTZ3HxwBEkN6r3b90L/tx/lc0uf66lIqccky3G39e/+B69r2qGxjUqizGB/+695b8iJS4at7RraoBsvSWWpvopt8gDYgI/MmlpgGybzHBQRsfyVhFOF66rXVkBJsnWmlZLvbF6bBlAzaVUAvSL45YSG4XR17fnUnOq+bfW/4rPkmC7ZlwUu4ZX52ShW1Q8/C47SwoSk83bbMmkC0+U6eahekJGSlBdEmQT4HZxoB0Sxllsd6gNM8+fZjUOM7pfjcjYcLgiw8QaziXiIbwWW//eqkadvhOTwzswvEsr3Pbht9h6IQtXVU7SDOXI54DANjdIo7VNQjx+zcpC17gKlvNnJOKMc2ycNFPyU7CsrOsJbMg8cRZp+4+gcuN/717wXTrD51adXbdcX+p3JoAt5zG9J7YhJTfJzeX4TX+nemM78e5nC1AxORkDBtyMBYu/w9wFC/HUU0+jQ6fOvFOIlgiVpTc60Gbu4qIum0nDFdjmQJvG+7VLFjGQ3f/hZ9jrlV8GJUJcIWjc+Tr2FTnZG2DeFjmXLqAwPx/RsTH8umJYSl7bBriWIv4/YsyoU9LwR8aU89KQJ5ek49WrVTWrY/THSiWnsdzCw+bHbQdwc+uGmkcT92dieKDUrcwGecknB9v8FhXjsV2s0rOArRJo8y3dC8Y84ETtMAdGX9MMj13bBkcu5eCTJatw4fNv0aV5Qzy5YRvW/bYR3Tpezf15mEGsSAwwVOyHw+FC/dRa+HLhAnz86WxWLvbWjJmIT0gU97m431kcLJQFGpvNu/uIt9PKmslEsaDMg+hQSv3+zUD7h59WoWXXa8WJMtpPBVsMlYj5RaYsvALZWs2qeK6wMB8fvjcLGzduRN/evZGdmYmxjz2Kzu2ugi0g2vlIGYTGnhkfa0elhDi89NQ4FJd58NnceRh4U3+Me+IJlulg9zPN3yQboX0Q4ETBUJLXOYEX3/kY+cXFjHV12gPwSAaGuY7LGm0NSYtF3Sy6CoxtJSQW7Z4CQdo2iUWCI6aSEYM/ZZeIoSRJeWR0HJOFlpSVwukIN2TJsjZPfRddiqI3YZM7FsCx0+dZBknWQhkmI6KVV0EJFu07gVmdWsPHwLWPOY0Ti+2h1e2D2+2Hh/pmewPM2GZ1aS52uQvR3BWFFHsoGjsi2fE66yvFCW8JQmDD54UZeMURzgJoYpnYcbf5eSJFJlmJVRXSc0UE6HpF+UALViXDp76qNdqizPX5owj5N4E2eRVwR0cjoJbOB1KuouSjWp9KDoxFfz/h4itjn8uNqXLgoqWkMA/bV36HbrcPY/W3JnUE+yzO/EgnRTWRMNdePolQ8MrBN5fJsfGVuZOL/bLZMO2ttzHs/vvw9aIvEBURxplqIcvm162e0rECba2os1xgF2Si1YHylRZ2MbDaAn7zqrtOM7sTe8WljpwxkZMJA1v6otWPGkYrogZM9OBUDqesRt2GM2fPMNZUV60Y30yaOwr5uN2GsKgYHP9xEar3GAK7g9+7dI1T+w4Jq2Jqt0RoYnXk7l6OqOrNeEcDB03YvB+WlIvLoNoMtLXHyjmdPl9KNsVjmuykC64C22L8Ilb7yKV/H2jvu6AOREn6UcTUaGjJc+ju4rIlF42ngjEV8vCDm9YiLiEB9Zo2F0y2blzGwXao8N9w2vz4cu4cfLlgHgYNug0fvzcTNq8bdnch23JnVdryCZmZH+oGVQydiro/0UeVqxnIvM6Fm67thn7X9cT6zVvw+OhRaN2mDUY8MgohoeH83GrqLJ4S5oVA8jtT5pzuJWJLjHH4zx5RUVurJ2e1661Fx+6Y/tRIjJ85TwBrmbCjvr08mWO646jsQyZ2RCBJ1yF7W6Gw0fuXS6DtJDd9p4M56JOzPjeLszH/g353DjNuX/0qtNlQoUIFZOXkArZqfMdEsExGfFUSK+BsbgGqhBOjwdlsWhm4CPWiY9UkVN0bjulnTqJzk5ZMTcOvfQdCKJgTaUXtSDGXYKODBx8BBGcjjqHRm9yU+Ndcx/XlyPLV/zbQpv7ZpsTgZc+59gst+DXubS0g1h6v23kQJ9Mv4clB1ytDNHo+J78IC37Zisdv6oYQp8PcDlBtJXjXLkZdmaeAr19seXNfNvbTMCnmKznXsFY46k20hLZks1iLQRFcO2mMFW0HRXs3vvKgm4NwRzlAzkGY+BQtya7OPxNUETAEAi5LEl5hFTuev7op3t55EHvy8vBQ5WoIsYXA5vbB5rHD4fbD4fPD6Quwa8zwMTFCBt2s0akn/ULsDGQ7wxxYV5CL789m4KGm9dC+ZiUOrqNC4YoIgzMyHM6IcM5kE7gI4UBbzXuqNt0Pm8sLm8eD7s3rokHFBHy67SA6DqpqKn2Djaf05CG5tVY1jPl9J66OjWOGj1RmIRlt3hJMfA/lj8TnfyvDHQsX8uBhpoL0G5KP/7tA23/prAaygwNsXu4k61s0mbjJ30FjtDWgrcvEDTbbiZyCQsz/ajHuvftODLlvOK6+uh0Wf/Mt8zrxyDaFqm2hMJsULuOMzdbadRHIdmsgm7ZFRcX4bcW3aHPtTWh13QDRVpGSj0KtqnIaGhkpjnW73gMRGUMg25xM0r2eDPNlPYGqq5cuHyrJ8EsOGR06dsKCeZ+jz7U9tWOvm9Ty48/uZBNmo5ZzISgjg1k5fmidCWRHIfJmYh5LNH5L82Im75TVACLWUAoTCbYNwM0c+LXnHKG0hqB2eCgm39wVl0q9mPXzZtYOcuL789ClaV2AWO1QckgPZyZ4NlcYbxvGwDeprp14YOjdaNumDe4fejcmvDIRTVu05OCSSTdlBkT2ADPANk/g2sp1FskocP/9QDu/uBTr16xCiy69THLxKy2mLHIQhluX4MmLigD0hx++hx9XrMDIESPw1LjH8cGHH8Lt8eCBe4bA5i0V7AQFTjy3bYBt9cm8Dy37AAciXA6MvH8oBt96Cya9PhVz58zBpMmvIbZCAr8IxCBkMHMGQA0LC8HkJx7G3WNfQGSFZGW8ovdCvexFrwIsM/Dl958ARjyFaPT1Dga0KckkHivZrwDej015F56yEvjDwni/WgnexU2nu9BSHXtpaSnC6TurneQ30fFz6ahTOVn02OQmaNxQhJuMzPp9H4Y2qAUbAWkJsoVc3E0rAW0PH4x2lxZgeUkW2rli8UBYZXUs2PVNzrT2SDQMjUK83YXFZZfwct4Z9I9IQOuwaA4qdHwsJI0MmVgvOosDOZPoqAnfci0qyYJxpn3px4FG/3oNUonHh2KPj026EmQTeyywvonNYp/G8BIH3ywclyZk7F6XSoXgcZnKdIqfd65aCp/Hg3b9blcgm6siBIMuEw6yfQF9T5K8snZxPMCmScTOkhl2ltVjCSchOeV1LJQprYhx48fj8XFP4P1Z7zK1Fr9sRa5VZS41YRPXcmpAW494jDMhAbFJdvBnF3ajiPeTDqzsAHMgrM4zTdSsD6uDDb5cuaEzmhxo0/jAzZkEyHYJkE3ZcSvYhp31cKydWvey45/J2JGAdkQksk/sRZWOBXC4IrkHhL4PomdyUpt+OPfTe/CX5sIZUYGfW2VGxGv41IR3pQDe5EVg1GErUC0At3pevHbDsUzc2/lf9yxIyy7G4bR8xtbT93BGxiEkrqJpX3TzSBasCkdpl7b6PWVo2LIt2nTorLHYBPBE2zTNZfxi2jm88CSvR6MkwsTnnoaD5OHeUtaexMbalHAHVeamKs0dTUDbbjLZYaY6LNnCjXRoS9nxLm1boNPcT/Dd8h9x+623YMyjj6Frj178WMrLSSUFOVPMQntKbBGzwW4Fg42z3g1qkbeLSJJSsoufa9Ov2WfFxMej1213oygvB1FxFVTCT5eF6wIP3aiR9ompWvzm60iZodn088OPv1yljPzMvr2oUqNWublP7mOFCgnIyc01BdNc8ulCv44tsXznITzUtSVjM3yC3eMO0U44PS7cVacGXttzCN9kX8SACslGP3aPHE7MEyUb94JIyNWxlvGKBpx4kl/vhGLMiUeWr0Gn8SP+5XuBfE5Qwts4GTLKP4iUgoHscnXZ/LkLWTl4bcEyfP3iSKFcMlp0Lly7FW6vF/f1utoM0PWEp1bCZZx6C4sswbaDzxe8JMn4Dmz0FZ4DDIiL4ytrtw12WQBtFmAbW/7YANo2y3NcKiwlw3xMUcdRHCPdz0DOBrxESOIIHfAbDPr4to2x7lQ6njl6BKOq10S16DA4ynxwunxwef0I9frhJXZOGPzJz+J5Vm5oSeMcuz9cDq74CLFja0k+Fh9PR/tKSfjw2o6IiJYMNgfaDGCHh8MREYEinx/f/b4PS3/fx65QInBoofi2RlIF9GheD90a10ZkpIvFX8N6tMX4BT8hy+tDAiW8ZbmTkl8KlZnfiTtqV8eXaWm4p3JVtc+GO7k4HmLOlm1prWA7AS5kwi2AdgB7lq3G9U8//K/fCyWFCBTlGEDaAq71pLAJVIuxwiwZl4+dJlBtPDZANo3l8776DqWlZTh89DhTs9aoncqKApTrtwDW0mhSN5Uk0MxYa9nCS8jE5ePsrCx88PwYdBt8n+i1bZjP+i2GcpzsMQDy+sWfo/NNt5fvsqThId3x2uT3ojtha1RZsPGXP+bRGXla7dt/QKhSpGpAkhCaekA8p0vzEmMjkVlQIi4zMT4JIM361jMijq+EA1hLXykjF9kGmxxTZEmHFWwLSbms4aYOFDQfcLDtgiOsDHHhoXihdyfEhoXi1a9X4a7n3sCUh+9CpcqVYQtzwxYabpjXuriCDQ4qzXCheZOG+GLeXDww/EEMve8B9LzuBqMFrwVss9AVHN/RGGcoq/k9Q/5kdRJ57/C/DWjnlvlw070PGdn1PxsbB2MTNbmWbN5OF9PmDb9h6htTcMuAAfh+2VI42GTixaJFi3Btj66oVCGOB1ISZAvpOJ8I9MlX3swym85Zi4ToSEyd9DK2796Pe+65G5MmTUaT5i1M/hz6EnAQkLKh3+C7sfqbL3Dz8EdVv1flMEn1uBY5jvEGBsjmpjPqaTHpi4J82l9h7mI6dOxk+2H32xXQlrJf3hM5gLLSMkx59AFM+WQhN40RHxOszUuVKlVw9vx51KtexXwCAwGcuXARrWqkWNp58Rrt3IIiHM7Mxcg6teAuchsgu9QHD7XxEmw2yWt+K83DDncBhoZVZueWzCRUbZ2oIeLnPoAmjih8i0w0dkZie1khk5jfHpnMulSynuIsHraxeiSqLTYc3DWQrWW5ybmRWDJ1vVmuQ1NClfYpO51JZFjA/S8seSUeFdxKkC0f0/7KHunG9zY7e8ufpWRb1d5bCWItQykDpJ2rlqD+VZ0RVSFRKSQYyKZ3EZ/PP5sPDlx1yWWuBqvNQbaD1aFQ8ka+TlOaIIBOXbphy5ateO+DD/Ew9dbWwbVktvVwkilMbJcH2oJZ+lPsddBFy2yRYyGj8bhZGw/KdJkj9aMmoC3GCiujSYspU05MNgEuo4WIrPdiq2C0t27bhuv73aTOj2nvFMY3OhjQtl7P21B4/jiiUluwQ0A5I4Oh5GAsoWlXnF/1AQqO/IbEtjeJDLIxwakAWXywDty0o6NUHQaIFteEBL2y/Yz+e5sNhzIKmTyKGMx/Zdl+IkuN65TtjqvfgdXeGtl645jocmbGmIoaYHvAjzkTHsNtI8chqUEjU122dBYnJptkm1/Nm40Vy5bgjden4KEHH2TzQpWEaMZks3pAqo/1lKI4Pw8/rf8dW/YcxIET1HKM119KIzQyymxetwbaN2uIbm2awxkeAQjnWtkmhlrBkIkO1YEN7HMdbujVA+Ofe4kZcI54ZLSpNZQ5hScSVzIhxdFeudY6+iKNNGWfbc3qo9w5pvN7dfcbsHbp14iKr4BmHbtJgQcH++KaMrcYpCw/7wkrHW31N1Wyc+bKysGEMqAjoC0SIvSey+d+gNET3ixvJCp4/di4WOTkZKt7kd2bdI85nejRthk+WvYLHu7VFn4hHfTTKt2jQ73oXbsq3tx3GMsuXUSH+HikhDiVLJEGTFJ86AkLpSbSwDYlKsyqLj6/6qA6GMimJW37XnhLy5hh1b+yBAqzhepGim/+c5Atf081kg+/NQdTHxqECGJVNJBN1zYB7V4t6jNZNWezg7y/9p7ySmT7KYJhJg0XTDYBbRlbMXWN6SLkXhxqOC9Xcy0ArmK0g7PZHFxLIM7bOXFQJZhNfa4QrujlVEn8omdZa0bUWGTkHLzLsQ/oWrsyGlSIxRs7DyLCZsctyRVRNSKUsXOcpTOc19l5lEBVgAQCAjanDSc8pdicm4s9BQVok1wBb3drjfjYSDgjwgSDzaXiBLYdEeEoCtgx7btfsO9UOm7t0R7zX3kMkeEU6Yhz4vPh5Pl0rNq6B3e/8wUaV0/BiOvbY+A1rfD0olVYuv8EhndsJtp7yYSc0e7M7gugY0oivjx1DqdLS1DVEaI5lEuQrRFbGtjWx7AUhGIX8lEXBChsOLV1DzylpXCFhf1L94I/N8PMZMvzpFQPxnnWlWV6LbYOtq112FYWm/3scOHw8ZN4ZfLraNSoEb75bgl7fybr1jqwKJBtZbQV0Kb6a16PzQE2f66kzI38/Hz0e3A8KtZpyJhvXS5uBrraXGwD9v22CueOHoArJNSkfFOJaMFiS7Ctd7jgt4TGauucURAoJnN8MpFWq1YtHD16HPXq1DKOt7+8A7zhacPHxCoJcThx7iJQv7qR9JMdAsS9wkC2IN58ZUYHIQbGEUCm14NCvxcVw8IQQ0oOAbQNhpvLynnttmyJ54STgDZtw0uZQ78/PAx3taqLKd+tQXK4C8MmzUK/jq0xbGBvOH1kdkpFeIbChxNCPFFGpr7z583FI6PGMEXifQ8MD85sC+LDYLMlo83vE4r76XwzA+S/DWiXerFu+be4Y+TYP5SMG0GHZjiiVoMRllmavJxsPPPEeOYYPufTT5AYH8fr6/xeHDt6FFu27cD8D2ZwxkIEzNTmx+SqySud1U6o7A3LpIuAm9aAD62bNcSC2Z/ggREP49777sd1N/Tm34nJlA3TFUeAB4Wtru7AWhtJVkBJxoNd5JKR0FooGa0oLbInIS2RDexpXDGVUlEejiYcApoaS+Kz+eEjNtIWQEhIKGo3bILdWzejbbsORg9uZXTFa/ToPVPr1MHxEydRr3pVFXTIhVqyhIWEqAlN9bP0+bHuZDq6V03htRji5iKHca/bBw+x2B4usdlYms+k4reGpLBT46bBTeuxSt9fLw9w2uxo4IjANk8Bnoysjj3eQryRdxbDoyshJSSEHQOqh1LyJ1FnyjJmIhDQhHX8nEmZmboOLKOSOvYcDFKdtqMCd+v8s0uh2ytqHsVVJyXidA7F4M3d7bU6e6E00OvtDZbbkJXLoFDbUwFQgUvnTuPMwd2448V3gu6X/FueTJSO9oYMTrUL8ts46BaScq8c4ANmB3z63MfHjceYUQ/j2yVLcVO/vkySY4BsK6PNDe0MEkIWpou9UwS2nuRR/5RfdMZbPFZ2LupWF0k1xnIZWXMOsrnBh1kBox1XzbmU2obo7CaBbZq4CYDLyfzEqTPsOFasVJm19VABvHmnFWPAAKXDjmrN2yHjxGG4s9MQGl/ZdBjo+NPuh0bHIq7e1cg98AsqdhhQDmQrdlPF48FQtjgeEjzoTIZ8rLtIi6BN3iPHLxWhUaUY/CvL/rN56jOKzu1BSdphRFetpT6Dtzbjkktr+zMO4OxYNWc62vXsgzoNGjH33nCnA2Eu7uRLbDa5+pKj60tPj8f1112LxQvm4szJ49i6bTvmz5oGFOUwNtFfVoxNW3fi86UrkX4pC9e1aYyBVzdB/Zu6sqQk+QnIhZKC+85lYP2eA5g2fwka1qyKe/p0Q/OG9QAKhlxhbAshSaNMeaQzFDPfnIRJU6fjxWefxouvvCrmGP0E8EdUjsTdyg0Fi55Qk3Xb4mQaUmcRJemaMZXIEkoVeVt0uLYP5r09CacP7cWN949mAZnaEwa4eSJHb6HmcxhA26isMberlPJYM+DmyY8j235Du+7XIzk5WZmkSVZMXtORkVGsDZkuT+TzsBPh4eGspOtEZh6qR0fA7vJwKa3HC4eHM9vUBqlzxSSczi/C1FMnMaF2XYSF0z0oytUoIKTaXB9PnrB4gpxihYycVmmaJsdXvdBFB9myDZu+kJorY+8hVGkrfcv/BSM06/KnZOTGdWAF2HwqCODVuUtwc6dWaFi9kuYkzseHY+cvYuvRM/j8cTJEsv59kNoD4TLPmS3hVUFjOpOK8zmAsdmM1RalTnT8WP0iXcMkbxJhvGSydbCtm58xcE2P9a0E3QJcC9DNgTntgBibdUUAm5d4r6MABdWsNsPBxnZZVsNrl30IOP3qMyiZo8B9CJUreFAl1IU3u7TFkUu5WHD0JLJKytA8JhaNIyJRhyTelFQVx82NAC55PUh3l+FoSTGOZhWhxO9DvbgYdKlZGQ9XTkR4ZCicJB9nLbvCGNh2ENiOiIA9LAQLNu/DovU78PjtN2LimGEs4cTmGXnO6YN8PtROrY3hNatj+M3XYdPug3huwUpEhbrQrWldfLXtIEZe2070oDf7cMDuUdfZCy0a4bkd+/Bcah3EkSSXYkcybaWV7lfywmGxN0+wGwpNPk7E21woDHhBIyXtIfn0nNtzCLWuMntu/NHiL8gqz24oqbLe+lMr39JMzgyJuMFmS/ZaAms5LwfoPMOOGe99jBWrViEvPx9vjx/PCCkaBxjAZo7iFvZagG0JxA1G28Jm+wlkl2LGEyMw+MmJDGTL91RtUuXtrocWooUU3a+F2Zm448mJ5nZSsj2h1mpKtgzV2WzdYNqc0L08EJN5NlK/3nrrbVj41Vd44ZknhdJPSu7LJzLoHDAln8OJ9g1TMe+Xbbi/cwtTEk1XU8ie9gwXMIbbj8OFBfj0UhpLpldwuBBtd+Ciz4NiisEAVAsLR/3ISNSLjELViHAWCzCwLbehTjhDHHwb7oWzxANnuAdhkaHoWb8Gft13HKtfGI7PN+3DjY9NxKQRQ9CscQPYw93kEgqEeoAQ8mkJY+MDtTUlo7QP338XL786CW+9MQWPjqdjIQlOEc0yL2ZbUC8WaXpNddpx4SF/H9Aml+Wzxw6jpLgYUVF/TJ+ryUzVAJnlEvKCIxZ7yuSJePXll9GmVQveJ9fn5hkKnxcLF32J6KhI9O3eCTZiKyQzpVatR6QuT9GlJ6xY3gDa9Dcki1j0+ae498FHEBriQpfuPbnDsmQhGdvHL/wQlxP5OZnIunAOUUmVeYYpiERZB32SuaT5wOjbaJlppXSUkg/MTI3X1vCgi6comLukqP1jLAmT+HLTDiYl9wfQ545h8JQUas3uOWum99yjd0lNTcXh/ftwfbfOVm94uD1e1pvc6KUpwLbXh7Wn0jCmcV3R85pnrZizOJmeeXxsMNpXVoSt7nzcFpLC+xDKPoEayKb94AkD0Z/OBtY240tfBk57y9DEGYUqjlC8W5CGB6IroRoFuqyA3pCQ2xw0mRKQ4qBWpzaY7Nk6+CgTDtOVqSJif07Gvwy0pWycgDMDSqLXoWSxpcM43ZiMTLUw2fpj6++kvFyy1WrkFmx2aEQkGnfoftl94/IlHmCzv5TXISWN9FptZvhAky8PqhQDJySxymDIDkx96x1W75SclIyO7a8ymGwlkxJgmyJbae4mAggpZVeBpulkmKan4IsOsE3AW7wDixQpCBOpPCYjp/teS8jJ8cF6/+mTjJSJs0lGgGwBtrmrpRPT3pmB0WMeFX3J9YSYtrviGDLAIlhAxsyGR2DfF++g1fCJ4i6QYyNPfJCZYlLLnjiyYALc2ecQllTdMACULuXaISsnH1eKfL2dnTH2mthtvV2TPOc24MjFgn8daJ83gHbu/nWo3IWkceZ+8hywydXGQbY4LtnnTqLf3Q8hPjaGAWsq82HtclwcYJPh0HcL5+GHpd/hrTdfR+0qFWH3leHLRQv5vEBtBvOz8ePa9Zi1cCma1qyMsTdegxoVYuAvc8PndsOflwcfM3gxEi20v80TYtCiWxuMubYdDqZn4pNvVuBC3ld4dHBftG/ZlLnV2kJp8g7j0rQQH2Pfn318FD6euxCPjnoYb02fCZcEB9roQioS5oPAgIHmx6CpjtS5FSyoVKGoHJWSQou3Z74oPBFGT9A1dd9Tr6CoIB87fvkRETFxqNfqakNFIMydWHBtJ7UPV0JxqaOZaNIZbXN/UX7OfKXFWDBrCh548mVEhIYIIG4Yr0l5JP0bHh6B4mKSHIo0u5KD8iDujp4dmGv0k/06s1INR4gHfgGyHUxNFcCNdarh0V+3Y1Lzxph86jgD27I6zkYwQAJlCrHF2OUWiU67Ats8gcELzIL1dDdYPn2hY5++Y++/DrSLRf9oMSDqTtEm0Bj0j3V1lnm7csseXMzJw4t39TOZn8ntonXbEB0eit6tGpqM1MzO5dp3l0keMSbwz+dycfa0+Ds5hzCswBQCVMJiTlaaWFPNYVwBQikbF2y1GVhLoE2KQweOZWRi5/HzOJ+Vy9bIsDBm+NawekW2Om1O4ZJMY7bWnsgvGHZm5MSTq3YfB9kUv5As1Sdcjh0hbi5JDXGjUbgLEyrGI6+wFLsvZWNbZg4WXExXcRr9S2NUxYhwVImMQLuKKbgvsQKiIkK5vwDVl4ZSX2y+OqgfdniYWMOx63wmXln0I27o0Arfv/MSQqKieeJWJhTkxcYGBd4vnOYr8kDo0KYF2rdohN/3HMT/Y+4v4KyqvvcB+Ll973QySQ/d3SCiWAgqFiFpi6jgV0Xs7gATW2zs7m5FpEO6YxiG6bn5ftbae5+zz7l3hvH7+/7f9z26uTn3nrvPjvWs9axnzXroBazctgfryirRqZkojWeyCERQSY3hfCRjXrdOuH3lWtxa0h4+j5OBkDOsALZwSBkgTwPcimnYFsnYjGq0Rwp/5rY/V/5XQNvREF28CSBblPNqgB5ugG0Bsjdv34k5V83HiSeegIEDB2Hp0r9w7HEnsh1Ka4DKvY5YIttmBFsBbPWaUBW3qou/dO9NGDTmTCSl5/B7ohrI1n1YJtYR6+Iv772CaCSMUWdOM5zvBsg2ajqb9Z7F2ivWYJ1GbkINc7FKZDUZZoLGhBw4aBDuuutOS8lFFqmkNdkRbwMR+5fuZ6SloJoEz2DObcO+kF8mqoNRSToR4V5VWYHFpXtweWYxkhxuwwmhsBKd095oEJtqavFW+W7sp9rdDiDV7UanpBR0TUtB+7Q0+AOCPu72hxlkewJBrnp0ckkLXPTet1i9fgum9O2IE3u0x7XPLUH3dq3wnynj4UlNFwKocr9W5cucLi/TyW+YPw/X3XgzXnjmKUydeR53Lu8NKi+brqnBKlApu2YwlCpv/T8D2rTwlNeG0LJ9Z1SUH0RySnLCLcMSsDI2QuU5VgaomNSUZ3rHHbei7GAplrz+OtJSAgJks1KsaEQbf/+Tz3DysSOR5IbIvWPp+bCxMCn6lAG0DfqQdQDFolRHVgJtWqRjUfjdXjz7xEKMnzAFXbp0RU5+IaV6MkgV0WzTC+jzePHHN59j1FnTNcqHGbU3RrkhiGBrctInOhiQyXqtMlArDWslYiMANy2KBsCWNHKa9ClZ2fjx/a+ZWtmufXsDCOjRbPrutiXt8OH771l8YtDolPxLFB2No9kkcBDFobogsjwe1FPtPBXV5sg2AW6ijEfwfm0pJvsKeHGrU3UIeZEzQbYA2iZ1iSjXLRBgUbTloSrkOrxId3pwTiAPT1fuwXkEth1+I2oRpVxOtxPRsKCbmIBOfDiBmtqwGbUyDSg95KJ5gcgII4rTv5wL9aEIR9oVuObfIoXqyHlARrbKdVbMgnigbUa5+b0KIUsYK9gsZjSb/ln145dcj9HrDySsv60MOmGwy7Is6nsZZOtRbbGI8CZDY0rNUakXIFTTBU3T5fbg8UVPY8qkCXhk4QK0adk8QY62lGxjTxU9Sx9kE+6K2xkSCKoleIcFEWisFeMzlXAU1/ompO+y0cUtk8o89DqcdioaA2zayGmB9uCHn35BbV0dOnXphpDNeWQx4DU/H+XfUTQw7I4hq7AFslt3QvXujUguohxvYqRIVoukKuZ0GYSN3gAq/vkFKQWtRI62McSt564z8i0g29I9miCOli9l5mer94r7/xyobvRaxF2bWAzrCGhLjnT+4DMRyC40o+ZSiM0E3DLvV0a1f37nRezbtA4X33K/BNcu0STQrig9gKuuvRJ9+vTGW6+/Am8sBGeoDo5QDT749AuMHTkEv/32K+555jUM7tQaz10+EWlki9fVIlJ+kDdmUkZV4o4WoE3nJ4WYSPW6Y4Yf9549Cvtr6vHQxz/gibc/w8NzZiIzJxdOioQr4Sk5Zs+bMoGrYFx5xWW4/6EFYgxpQ1TV3iYVbKWnISLbplAizw9mvYjrq8B1HCCj66PWAcOxpKLiDqRQNK7/ILy9aAF++vhtTJ9/F5eG89Lvk8Jn7DRmgT1zP7I6wTXxHWXsScPw0N6deOaW/+Dsi69EwOc11OD1iLa+xnq8Hs45FRFTqSisDGiXG4N7dMSdL38AxykjWfwmJkt8RcMekbYUieKo1oVI+vlv7A7V49SWRXh45zbMbU5lalQ+ttqn5dolnYp8Kx2FEaO2duKVRo9s21/Ys2zVv54LsZpKHWXLF5pII9fd9Fpu9uHqajy45FO8ffMsi/K4sjPo/ge/r8JJ/bog4CM7R2qyx0XF9V8tL5dIuDbeR44ZZlMyVVz0qyqTZoxBhmlm51lysi2K33r+taRx82vEGDKB9ort+/DOLyvw18btaJWfi8Hd2qF/l/YozMlEZW0d1mzdjSU/LsParbvYRslOS0a3VkXo0boI3VsXIoOFOqWnW6/MQOlRlAZHES0Cxb4Qg+Iw538GuXRcRKbGeZPcODo7CUeFC801wnBMyvPmaJumlmwAd49RrkuU7vJj5e6DeOzVz+EPBPD8zVcgr6BAOu0CYs9RbEu+7PJ6cYBJ7FcxAh+hEIs6DujdHd8uuAGFp12Ccxa8hjeunIx2OWmSRaAJvkqBUrqObbJTcUG7Nrht40bMb9lWpOe4KF1MRVEVuLYBbsnw6BBLwgfYj9ZIggdObF+68t/PhcpDcQJoFrp4AyDbsNuVTooBBE3NFGOfdrnx6lvv4rU33sSDDz2M5i1bYdDAATj+xJPg8QesgFrLwVb2j6qBrYNto7SXqpMdiaG8rAwnzrgc/owsSRcXwmeW9Bs1pzTq9+8fL0HZnh047ZJrDOCcEGRrVTeMJq+Nnp5k+CyOuJLIYI0M2tAYHjBgAL7/8WccNWSgSKszotrWyDbNSXJeqGvQr10L/Ll1N/oX5RgaDGbwQ2IdDWg/d2A3rkpvDk/YgfpoWNj/ttUny+FEDpIx2JsCF5XEdjhQ5YhgY7AO3+4pxaLtO9A5JQXj8vNRkJYET8CNcMADT10QgzJSkexx46M/1qBdRiqyUwJ4esZYvP33Bpxy1Z149Mpz0ao11c+WQtmahcbsYJcDt91yEy6f+x88u+gJzDj/QuFElHnZwkEtHNrE3iEcqMA22WoV9aquyP8DoF1JObnRGMZNuxBeEguyHYny1PSNm73k2u3OrVvwnzmXY9q0qRh/yjgRvSaVWCoVpEB2JITdu3ZixZr1uOq8yUB9jaD+qcVI3g+HwthfVobUQAApyQFDYIEGizlpKTpF4Jxym4gWKjdfhwN+jxe33XQ9br3lFjzy+BO8sZiePnGfJkSvgYPx24/fajnappFij2rr4FYH2YpCqN6nDz5B3VP180STiWfGe0zDSALuiFmyqUX7Tnj3pWdwxU13SUowRceVYSe+r7CwCLt27jK/VJs0KQE/quvq6Z7l2oo6pdTlUgSBJhQpc1KNbFqQYjEsDVahgyuZB2VdzATZSr3TcNbL7xUiXmKPIedAS0cA6yLVGBbN5PcEnG5M8udhUeVuzHIUId/hg4PwM9EFQ+SdInXdKKKuCCKsaBjl5zwUHXE4UFEXRIbXc0SmHh3R8v3/Ziow5ZSugaCOi+hJRHnCpNIw0XWYhScBt71Mm8jhFmUGjNJc8lJLiMojRAfb5Qf2YvfGtTh60gXW68P/yIiJCoXxQiE3PK1WtsrtN8uXiE1I5G+Lc+ffoyjksh44fWZSSgoWPvoYLr7oQry8+EVkp6cKtWZl//O3RuS4pfrF8gfpVl6csWmPMyU4EoFrS3Rbm38UcVGRa5W3TRuKyks0kgrlHzWQ/6VEVZiW5nTj/Y8/xTPPvYBnnn/R2KQFYLGmepg+HEkDUwrOESfCrhh6nDITFaX7cGD1L8juMoi1F3isSA+50+lHZrs+KN/wO5qPmiQr6Fij2WZvWVcQcyOWDBDNi2x42iV9XIFgA4TL17cerMG/ObYeqGYKPTm9dn7yEFoed74QDHIJurhHCZlRdJoAtNeFJNmCh/YhWleNS2+9n+mRSR4nkhlkO+B3AV9+8A5eXfwc7rjtVq6j6QpVwxGs4X1g5/ZtWLF2A/zOGD760oXnrjgHaURkqK1F/eFaRAho14Vk+ZGQyBmTAE45IGjBdSlBFs4JI0PZiywSXBk/Cn/tOoAzr70fd188Cb27dTKMYD0kPfn0caiursYN187DrXfebaS4qCHpsJT6o2ss1gZ6rJfUM6PW0rll21ONEjByPpug0XR0padnYtqVN3LkvnTfXjx+41x0HTgcR502Cd7kFCGApu1FaiqoSLThCJd7dOmubfjts/dQtmcXzr/+blz/2GKkJicZThJiJIhyRyYFUjnVKysqkJZKCvZWI5ujKC4SvPGid4dWWLp1N3oX5yJG1HEZzY6FPXydApEoi0v9uP8gpg/ui02VVXizdB9Oz8kTg49PmJzmki9O15ZTrCRjLtowjZx77gjLzt5lq//VXEB9NXHOtXBxU3Yf0zFvz81Wz932wnu4ZsJJCNB+liCavbv0EFZu3Y25pxyV4DfJvjdcoppD1Px6ifkE8KMl0Cg1K8FzjJXsrR/eGGVc5VqLqLbSwFA52y4cqqnDkp+W4eM/VqNDiwKcefQg3HjumezQNcsqijPs2bGd5lyIYn/ZYazavB3L/tmOF776HYeqqpHk9aJ7GwG+e7QuRH5GqqCUU/CA+swdhsMTgsNLUS6KaAd5rguxV2pibVDltXS1c0s0XpWkowi8R5YlYrDtRXl9EJ8s+wfv/LoCHVoW4ZqZZ6F9SVtBZfX6EZNpKAy0KW6s9HmMa66xNDnqHQLCXgY+KS4PjhvQE7v2l+KWN79Gv7bFuPiY/nArYKpo91pefN/iXL5GN234h8F2Epn8NP+DDhGnokAJzQ8CfLGYqBHuBDx0Lk4X+kbT8SsOYSiy/z3QrqkQwlSGuFYDdHGLjW6NqgpQrVHGtdJd9LimPoT/zJ+PrOxsZr3SmrJt5y6sWrkSsy6bI4XPzAi2imib0W1pp3KLmiDc9vz2zRvwzpMPYPotj/BjXUtH9/VDCyLWV1fir+8+wcATT0PA7zdBtAamFUVcRa/Vc+Z6ahU/U+u0NjWaurzwH8w891xce801GDF0sIxi09pJa7IMNMiqG1yuNUwYKcSPT+jXFW99/ycGtGhmERa0NOVTjMbgdxALzckppaEYOTPkvqPZLk5b2o7qg/bOJHRKSmYbYkO0Fgu3boXf7cLU4mK0Sk/hlFVPkhcD8nPw1fptuKhvF567JGR4arcS9GvbHBfevQhXnHUSRg8fCEc4ZEa36dYbZf0Vl9OLh+67B9fffCueeGQBLrhkNuv4km3ustnNVszlQFWdTefnfwm0iTZOx3P33ITTz70EBcUt5OXTrrnOEtE7UvOME6j6+IN3sfiF57FwwUNo1bwYziiVYRGKcQpg8ySNhPDpl99wROTY/j2EomckjB279uDD73/FN38sR32QRKmcaJaZhqraOlTV1DEFukubFphw/Aj07NiWS4rwQksg2y0T5ZVZLE+2V7fOfHH//utPdO/dzwDTYgCQ6JgD6enpOO8/1yMkc94stA5jUJuCXYaytAayTeM8nsbGxi+X+tJ9MIbKi3HBSdTGQsMniiIB7Y5dEfjmUy4zEObokRZFkbXPyTMbIW+v8a3ylkqFBfyoqiWgrR0xoDoY4pxJIxcjrMC2Scn5PngYZ3qaGRPLmFyaKJv8OKP0geovcmxQVPvr2EGUR8JIl0Mz2enG2f48PFGxB//JKIbL4YEjRII+ETMiJ0E2g27yOEdiOKplAb7etBOn9WzfJFsnVnHwXwmi1WrRbMUaYJBtAOx4wM0GtuF40IGvGX0Rxr/sIL2HpALx2t++40WuQ7+h8b8hAdgW1CFV896MakeVar0SR5N0UqYvK6VF2qAY/EuaqgTchcXNcdMtt+G88y/AKy8vhp/y3wyQLZMgZB6OMBRl6TtleBo/Sx8RTQHafMcS2VaGowVw89zWhQ4IPOvGqb47ik3f9JjHA21iLsy//gaeUy++/ApcHp9hvAsRFavxroCuRWGbqbcxeGgMRJ1IycjG8t8/RyQURH6vo2Tqgalcmt1lIDYseQDRYDU8AVLhVz9Nd1gk3mxNx59NTdkWuVSAyiIK5XBgT2UdlzKh3OmmHGt2HeY1pWrLn/CS2jiXGxQ6ClynVjYSWGOg7XHB64zig4duwBkXzcWki+cgxetCMoFvN73uRKimAtfOvxotigrx1qsvI8kdgytYCQet/3XVqDlUiovmE/0eePD809G9KBfh6hqEamoQrq1DRDUWZ9HqfHJE26wlyyrCUvGUoqlhvxduqnEbCDJVrWduBl645Exc9vzbOGlIb0wdN1p4yY1LLTbj8885G/c//jTuuu0WXHPdDeIVWpsUnJF7AM0KwRRRqWGqpIhKw7AJExmP9Qi3jHdrgFsNBzX+SEOhoKgYNzz5Kv784SsgXI8vXnoFbbr0QFuqu63Kf2nqzXQTqqvFyp++xubVf6P3sFEI1tWia+/+6D5gCLwuF9xOn5mrzUwNVe7LpDmqvb+8vBxpaSoFQeVom6V6yIg+++hBeOr9r9D3nBO5BFtMRrSdEVFqiUDPiFYFuOnHZRztmNGhNe5avg5flB/EsRnZFluDmSzskCBNE5mvrdHIleCRQSOX9EB5dvHziBRm1/7zrwTRBG1cJtHL637kDchO79aF0WL4e+NWLlU0okcHa6RaA+ef/7WW15pR3SUg1X6EWpON8ZrovmJJGH8nriXnYhOwUFooSjtAi2QbQJvAqExK5RJdKkopQR/trdXBMD76bQ3e/3UFv3f8iP5487Yr4A8Q+CS6qiZea+kia980y/Ph6Ga5OHpAbyMdqLK6Bis2buNGat57ysp53e3UPA892hRjcIdWaJaWAmc4DKcvhBilk1Bjxw6tDxEzXY5z1e01uUUZMofWyutC+Gvrbvy2cTuWbdrJNNvjB/bCG/dei+TUNAGqWdtBNirFSY0p42LgquvMTAFLTeCwADpUmpAFOr04YfhAXHLXo3j/roX44PvfMWHBa3ho2snIT0kya4YrICQnRp/iXFzmduGW1etxTYu2SPe7EUXYCHKQLcg2nAayKXWR+oKCH1tjtdiGGrhW//OvBNFilJ9tiWQrQzkByGaALVIIBOCTtHAjeq2EzszHGzZvxeVXXo1LZ8/GqGNHs+1FTMrPP/uMx9aQkUcnBNbWOtk6oNbo4xrIpqj2aw/cgonz7rKUa9VXY32fpUDigW2b8PZDN2HcxVcLkG0B1XbquCqpaEa3VVP2gxHUs5k6jWFtI3vEJNWgoKCQBUB37NqNFgV5wu5xxDMISPiTxl7MTQxgN3qWtMSNL31oTQsRyeOWqiV0QrWxKHwOwYohGykUjaFe9atM7TSglx6QVeXzJOD2uGJo4fbh4rQi7IuF8OSWrcjyejGtZXPkZaRgYEYm7lq1Fnv3laFZOE1WrIigKCUZL19yFq55/TP8sXYj5k0/Ay6ZjsHpJXLt40CrA7j1hutw+ZVX4Z0lr+OUM84SVZvU/ixrz7MTWqW7IoYaKnf8LwTR/iugHQ6H4PH68d1H7yIcrMOYMyaaA872nzWZXEQuf//lR3z0wft4a8kS+NwOS/Rav1W08U+/+ZHzVDIDbqxcvRY3P/ESMpIDGDOkN5656lwkeUUJAtNwF1vIik078erHX+P2Z17DM9ddiozMDCGKpMqC2HNGHE7ceO3VuPLaG/DcCy9K8RgRSTDFIxx4ccHdGDH2LOS2LDF+mz3X2SCAKWCjgWxVu0+PbKvT4RJLkkIuxLJETpQmRSJyteX7xUSlaDZFlh0csTht5iysX7kc3Xr1MiOpGoWEvtPtciNEwjM2CcPMtBSUVRJ11BEXwfVziSRVI48o5eaCdCASQipccMOJWo5wi/xsW/q0rX9k1FUClSL4+Zl/IjXo5jBr+WY4PRjmTcf71QdxlpM8anLx4TxtiqQRwFYqh8IbPbJ5Pu78bSVO69E+Ad02hq9WbULnlvlonpcjn4wiWlEKV6YsSXSEg2jyhhBaDPjkvbdQV1uHMWdOFJM0mhhwK1CtA2y+9gZpQfaJBNvSrJEbMbjGcKuuvTkPM1E0xg62DawpjXqOMxuCaFpkW1HKicFBzzN1XCqusrCZ4GOq/OuevXtj2oyZuOyKOXji0UfEJqnO3qGJofGXi8JjhtEpT9wKvo8gEtQguLbdVwxI9WGa+qTxBTKMZ5axcFnAtgm0Xfhr+UrccNMtmD5zJsaMPUUAbHIuaSVCTKFD2V+wqYaqiDZVDVBONngx5IKb8c8PH8JJVGi3VwjokRaDI4bcboOx4Y37ULFxKZr1HiWMXGPi2Bx0tuTSuJxsdau9Zq5bwIE1vyG9qC0CmTlsoOxb9Sv+WJuNIVSnsgnHWqaNx+AJJKPo6Mk4tPpbxKIhNB8yxhA8E9Fs0Sii/dFDN6DXsJEoKixEiteNNJ+LI9n0erimCrPPnYqrr7wSRw0ZAFe4nqPYHMmurcK6tWtx6e0Po7amFoM7tUH33CSED5UiVFWHcHUtwrX1RgvWhbB8TymW7z2I1WWHcbg+ZGAgoj0PzcvBMS3ykZHsE+qmfi8iAS/c9WSEh+AJh5CWFMALF43HvNc/R4jKS55+kuxP01nj8Dow95ILcPsDC/DEowtZjZwdTGpWEqtFhKQNFouRDSJLijCoVjWJFX1cPjai2Rr/Q0mlCYZG3ISRgNuFQSPJCI1hyOiT8O17b+Cj5x8TgMHhwPk33Y/3nl6AvTu2oqh1CU6dOQuR+jocc8pZaNWuo2AmSDaXQftXAJtp45pxqPZL/uoYtmzejIF9e2n7i1lLW9DHXehS0hKb9pYiStRcEqkKU2RQiXCSUySCkW2LcMMPy/Bb6SEcm98M/+neEXN++xv9MjOR4XOZTg9ed4kZIksVyn5TrALl9GAauWQg6SWrWFAsWotmTi/SKQ/4vxBEoyieEc12xPD65z9wiaGpY0Y18kdIkNZiAsu3v/sD048fZotiW8HnZ3+txcD2LZGZkqTRxuQ4UIQo4xkr2Nbp7SqiLWtECmV39vrbIni6krwE2kr0zKQBCzC1ef8hfPbXeny78h9+zwkDeuCxK89FVjrlKguaqgJXJq3YNqATOCIs92MxpHl9GNInHUN6dzPSCIPBINZu3Ym/N2zFDa98igOHK5CdkoRjenbAcT1KkJGZKoG2GGt6GppOgadzLK2uxZpdpVi+bQ+Wb9mNQ9W1yEhNQb9ObTFm1FDcNLs93EQL56oFPjgoek2g2iXAtdL8YN0PkWdjXmtVskzmkjIgoDp2EQm2I1RyMoQTjz0K0TsewderNmPaKcdhUJcSXLhgMW4++1j0LMgxIo2ap44/vnNeJq5xdMTdq9bjlpYl8EQpvUA4H5mREqNmgmza1zbFapEKD/ojE59iP9LC7n8liBarLNMc4w688dXPqA2GMXXssSZdXAmRspNFjAFDI8XIv7bnY7uxZ38pLp3zHzy16CkUFDcXUXlOfYzhi88/Q5/+A5CanskCZ3retah1bQXXDKY1gK0LpFGjoN20mx6CLzVD0sWtDDwjTUyyDretWoaMnGaYfvPDyMptZgHZOrg2101VUtGMapvU8QT1s+3BzUR9r09raf+JkebAlGnT8NwLi3HDvKvMdB7WO5B9T+CaAnF0S9FtN6mEu9GyWRa2H6xAod9rRPjMyLYR0rdUPKJ+DFEfyqYcHnZTz2QAmmkMXkcUXic5dB3IdjsxO6UI2yJ1uGndesxu2Rr9UlP4O77bsB1jO7US81eyQTwpSXh40mgs+n457nruDVw74yzD3ajmh8iYEdojD9x7N86eNAX9Bw1GflFzwezk7VfMzV+++wotSjogK6/AYAgSwzsj4Pl/AbSDfNu9/xAutv7Goofhcrlw7MmnsrKiOeCsdWTVc6x2Ggnj3rvvwksvvsi0MxG1VmF9K9gWOSpB/Lh0OaaNPRZX3/8k9uw/iAdnT0FRZqrRqVTqy+IRlpO7R8s89DjvdPyxYRsmXnc/XrrlCmRmZUqPrMpJEBL3MRpoURfym+WgsrICEaIbkKdH5X1peLR95+7Ysm4VmrUqsZQEsexXxvqvPGBSnVAD2hV7t2P/ql8QCdahqP9ohGoqkZxbCF9SijCsDOq5NaKtxNBcEQdCTvL8OxCWJZpoEHscLjx13624/4UlIuoqgZ06D44et2iOrdt3omOrIosB1LIwDz/98bcxAdVEykzy4XAwZOYD2ZJESqMh5Dg9ppCXTQlcWwLixpV6JhluZMCNHbE6dI6lGNFCiqp2cSXju9pyzqdxE9VWgn2liK5q9qmW6fficF3QEHXTub1/btmNRV//yYvvu/OmG+dBedpNBdoU8RO5MyKv+tlHHmCj9vhxp8Hr9wuRNwbYIhLNedsiXZndJSofW9TdFoa4wbJWNGGjTr2qjx3F5hV/YvApEzXqkFZCyzYO9f4V0S+zHI5iW5hlLcijrcoYqPEmxnbEoL3StRD36e9Gn3ACNm3ciLvvvR9X/2eurEVN9o2WYco5MnKlV2Ba1jqyVwcW6vvqGduPaAhUGxQao0NsO5D2XVZ0KsRAbECby3cR2Cwtw8233cHj7PFFTyGnGYn7qZyueO+4SYsyf5eIaGubpwTbQqOBTtKLDiNPwZZfP8fOv35At7OvgDcpTXhKc/KQ1Kw5KrasQFG/Y4zomPETNKei5WerzVgplVpAtkkNri8/gEM7NyJcV4X1n7yEmrJ9yG7bFcMvvRsIVmPHIVE3synHsg3bsfXNW9Fu4o1wez3Y9e2rbGi3GXwcfF6vEcUmgJ3sc8MTC+OkqReyjgRTyJXgmduBWLAOl184E/PnzcOgPj3gDNUCBLDrqhCrq8IPP/2KO596GU9ffg4GXHwLZozsi/pDlQywg1V1CFXXIVwTxPbScry9djOW7juIrmlp6JaaihHNWyKDDF1Jp6kJh/FT+SHc8OsKZutc1q0DCrNShe4E1wIVa4w7EmMj9M4zR2PW8x8gOz0Np44ebho8PHaECXTtnNm4eM7V+Oj9d3DSuNOMayTGn8Naekq+prznnA+m3KkKbavoqzHNTZFEI622EYtLLS/UKHdx8qVXGWCdSkXRuc+86iZ2sChHzAmnixqvqrqGnu6lxHqYocG3AmgbIj5KnRXA9z98jysvvQiI6flstqiWw4leJS2xcvse9CjK0YCNiiC6UJiRypTBv0oP4bjiPHg8LpzeshhflB7AWc0KhCo25RPL1CEG2sSIZMe1phyrlUxTTm3Vy3TsiNXj1/Bhfs9UX6Fxxv9GEC1WK4G2pFDe/dwSZtudeewwzmu3MsoVcpVOE7WuGeuDeM/pI/rjhU9/wJAubeX7lWaHUBWid/+8dgvOHT1IODmNk7FiOfHdKrdfDBy7dgavwbTH0z4qVcjNtyjGlYyWWhSvVZTLxQb1D2u24PNla7Fux160KWiG4wZ0x/PjjkVKcrKNKuzUABYBbTP4Ede3moNB0K3lORl7u9prRESaDB+fP4qeXdPQs0tHZqMw7fxgOT77dRkue+4DVNfWo2VuJteuLs5O54+sDYZQUxfEnvJKFmMrq6rh88lJT0XnNs3Rq3tXTD9zHDIzMgzRTJFzLkC0ACcErkW1CiWiSS3qcOLn35bii6++xv4DB1BaepBtFHI4tm7VEt27dsHQQQPgY/ou9VNYfEeYIo9uFDZvgfatmuOnVf/gzONGoEP7Erx286WYeeciTD2qL0Z3bmUOIS2kSf3RNjcD55a0xn1bt+La4jagpDrF6hCsQ1aC4j/ZHg3i71glwojhZGcejo3m4HOUYtX3vzYZaEcJaCuniQO4e/G7cDldOOu4oxBIdlvztA0Hi9qLpViXcWs6wSkx5PL/XIP77ruPWTsqaBGVoPm3X37G5GkzhYq4loudKIJN79cBth1k14eCePSqC3DBPU9LDQ2pRSEFvUzb34HS7Rvx/mN3ocfw0ejUu3+CyLUtH9sOtLV1lJpZAlcD1o2s9Qaj0JjrGotUBdkcMQwbNhz33H036kMhpmQbwYUYOT8VmyJiRrelM2xMvy74eMVGnDeoG6dRiPJ8TltdbAdSfW6Oapv4L2acn7pWiulqpd+LiDFdYQLaIacDoZgDYU6tFGO0ucuHK3Ja4KHtWzGrRUs0DwSwdG8ZTmhRJFk0LrGXyfO7YGQfTHnsLWY/tG9fIiL1VLqTq8hIFgWDbS+uu24+Fjx4H+66/2GhBSX3jVXL/sTrzz+FcDiM+59/g68j2XBCefx/DLTpQqmIdnpOLnxeHybP+g9HtH3+QFzxdIMlotGv6fFjjz2CyZPPQWZGmqCXKro4ee/4VjRSXEQ4yGWoSg8dxmc//sHy7cf26cyvxYL1JtCmXG3dG6w2LEY7EfRrW4Rbpp+KSTc8gMU3X8Hlw2hgGeIL5L1mJXKhXNmjezesXLEcXXr01nKwlRKsAz36D8b2HTs0w9W2L6j1LRHIjsZweN8O7F3+Ewr6HotAXku4fElw+FNQtW091n/4DJJzCtH1jNkc0aaoI3kbxUELkiaEZoDsKMIRmpyUY0I5ym506z8Yv//4HYaNHGXLDxbd1KZNW2zcsgUdWxebdQsJaBfl49WPDpp0L1WH0kW6rkSnkvme8iKr8jQHIyFkkLqgnBBqEsVHshNVXTXflw8fdsfqTZAtJyUZIe3dAawO1qC3J1UIL8jGOeMcyY4H26VVtcijvDbtXDoW5iA94MNxvTr8V3nadF1D0YhkO5AOgAOXXjkPtbV1SElOMiKcghpKjg6hJM/Xjekzdh69BJ9y7CojmpZGEV8QFvX+XdtRVV6GNl17G2XJGlp9NftKGEty5TVYFsrpIkt8CWVkEndXtFUpCCFLfInou7j+yklAe+BFs2bhlptuxIJHHsPsWRcbUTwjEs9Gj9jAhZCTAtsqh9pECrFG6eKJQbVhnMa9Lh/rkQ8LGDfzxniTkZv5jt278dgTi7Bm7Tpcc8089Orbl6+hWYNTeGnZg64LqxisFTMaKRg9Vg82C/mxR0W4T2hOtx10HFJyCrHlq9fQ/sRp8LjcXN88u6QbDm9ZzVFh+zxJeL21PC5VFkSB7PLt63Fg7Z8I11ah4+izsP6Dp5HVoh3yOvbGvsJW6DZmCtoOOZ7/tsPQE1DnT2/SXIhGo/h00c1occIF8JAKtduJNidOhzMaQlJyEoNsjmRzTrYbe9f9hVVff4iLbribI9jJsnwXAW2vI4a5V8zC+eedh8H9esMVqoUzXCvyXmur8O4nn+Gl97/AK1fPxK5du3Cwshp9CnNQX17J0WxqO/YdwqNL17BK6tj8fEzsnI9YkAQbw4hVR1EXrZNAW+xJI3zpOLpVFraH63HTHysxsigPp7drCV9IiKaJKJd0BAF4eOrJmP7Em8hJT8GwAX2EgciROOkldzrw8N23YcL081FUVIyeffsb4DiuXqd0yTDIlgxyBtkSHJqkX7UmSO0ODXQL/0vj9DXxXlXBwGQSqTpgInKuKHymUq4dbCt6uJkCZj4nDEhZosbhwPq1q9G+pIQV5nmiGNNTiSGJGvc0SI/u1QnfrtqEns2bGZRjRYGNSjGt3gU5WH7gkDTsohjULAuvbtmOs/ILhFaHKvlITkGuoKCBbO524exkX6YlB97su3ynj3MLOziTLP23t4mCaDxOaisNsEu/44YLJqK2vh4BokYrxkucKJrmQGTrXQtFwYHubZtj4659DP4CVDtbi0LTd23adxClFdUY0LG1ALxKeVt5YbThoSjiPAakToD2C8z1m/rRHDzWdVMD18oZv7usAp/9vQ5fL9+AulAYw7p3wIyTj0HnNsUyYq3lEVvKCNlKCynjQl/75bkZZ6o7KfR0IAN0SwEkCbZVnWkFwvMDKZhyagGmjB2NYLAOu/aXYeuufdi5/yAb6WmpGcj3+zAkNxvNC3KRlZ4mS5DJfGEtAq8EM40yVCwiZZaIZIDtcGH9ps14+70P8cOPP6FP33448aQxTOOl3GJyxNB6tnXLFvzx11I8/OgTyMtrhglnjMfIoYPgJDuZgaYA3AP79MCvq9bDGUjm/S8z14lXb56NmXc+gVAkgjHd2hpA2ygjKK9j/+JcbK+pweLS3ZiSQ6JvJhVaiTTSO4tdPgQcTrRxJMHrcCANboyO5uDlN17DyVde2KS5EKspl+k5AizfcO7ZqA2FEEgKxOdrG2JcJrg2AkA28bSnX1iMwYMHo1PnLpbULbrdvHkzyg4eRM9+AyyCr4lp46YImln6SwPdsRh+/vgddBt2jDQlJLuIzQZz3lQfPoTd/6xGenYuJl51O3IKCg3wrFPBdXCtR7j1dVbXu9ADlZbcbH1a2PtdY6woq8pwzKqUTYcD48aNw3sffIgzx5/KqXU8J2M0XiMG2Fb4iBkFbheO6tEBiz75CedTmS9ZNs8CstV9lxPZHg/Ko2EICWPI75bMAimOrCoj6QfjGkkl92jpeVH+T9jTAacLc7Ka48Ht29DC68eKg+UIVgc1B61Dnp9gotw24XjMe/J1LLljDgNtLtNJTrCIYFGQ/UepVj27d0P5oUPYvWM78oqbS5sdaNexE1LT0jFk5LF8XZip6nBwRLupR5OBNtVHpsFIg+CDFxeh96BhGHLsiSZHXcsfMFgrWt1sVermu2++xvvvvQunLLkjePNaojo3EdUmQP3z0uX88a/eehlK8rIFwKaIdzisAW2xqBpgW9Ka2AjnQeNGz9YFuHXGeFzzyAt46rrZYhBFZKkRJ4F7t5Ef079Pbyxbtgxde/TSqBoSbDuA3Px8rF7xt+Fpih/qZv61qTwuBtaBjSuw/sPn0OmMy+BOyUBmh77GX+Z0G4bc7sOY0rN7xc+cp9hy4PEsQmKU9pKeekUZp0YKiJSLLVQVxSIx5IRTkdcs1wIATLVboFPnzvjj158xZtQIy6JWmJuDnQcOyU3RaaWISC+PVfxATGKqM6mMRN2Zaj/M/rK52+Xn5MGH9ahGHdE/HC5TNR1AZ3cKVoeq0DOaIunrVmBtabEYWmekYmtZBefu63SzVL8Pi847hUVM4mh/TTiEEquIGorfGcPxY8aa4neGyrcUPlNGnhQ54/mh7qvgMX+wMHAkLtVMC9E/W1ct5Uetu/Qy8kdMANnwYVwPCd5FLziMMcmGqIposyiarKfJJeQki5AXO6WiTvRLVcvXiRtvvgVzLpuNTz7/AiceN1qjtcpcbZkIKSJwuoFnoNIGjqaCapthpiJK8iz27T+ArIx0eKg+vPocbTPnjd3pwrff/4B777sf866dj5tuv5OXFVX/XSmXqvqb5satGAG2vC09ZUaj3UYJDFhHE/dzQftuaNauK/auW4YVby9C836jkN2mC3b88ikc4Tq4/VbjP0FPIVxXg6p921gQhvJd1338AqLhEPpOnotQ+T40a9MRzdp2hT8lBSMvvNGIdhddflccvbyirmmbSFlVPVqPv5pL1hDIplI3Rb1HMrCmMoFK/Iwi2j6XA1+9sBBzH3zGEEMTCuMCaH/67hL07NEdJ44eBVe4Dk4q7xgUQHvturVY/N5nWPyfGXDWVuPX5ev4+7tmpiJYXsXR7D+37MHDS9fgkpI2KPEGEK4NI1hez+Ip1My1QbPnSQ3d60SB14XbW7fHW2X7cN/S1fhPr84yV1PGnaWIHDGEnjz/NJz94Ev4sEs7+GRZIhHlE+PJ5w3g2ccfwZlTZuDd99/nckQ8BVQ6iMy3ZiUBGVHi/VGOWvG6OYLFemKukQp0NxrK1geGdhwq3c+USrcmZmrscba0AsMAtAv2aOKmpsEo78uI9rPPPIMpkyZaqL0WEGU4uhxoXZiHt7773WSYGbl/Zh3m3oU5eHf9VtRGosyE87hdTF0nrRS3RZRH5PmxU1AKTRnicmot0/tGe0wg+yxffpx2SvnWHU2aC2S3CPVoWekBwClHD7Ey7fiymtHohqPaMgVHAqQLx47ERQ+/iMcvO4cF0UxvpgO/rdvK7+nXgaKZkvnGObbMZ4gfDBol0nDw2gaLxR2ur7Fajv3h2nq8++MyfPD7CmSnpeKEgT3w+H9mIoPy8mUkLF5F2vx7BdINkGVEsjXHw5E2Nx1kWwC3qUDONFibgByJo+09UIqslAy0aZeNNiUyt106gUw17Pg8YnupKUsOsRZ53bJtB958513eV9qWlODksadg9n+u0cp2mn72wpatUdSyDYYdPQpXOIDdu3bhuaefwpPPPIe7b70ZrYoLjP4a2K8PXnrnY1RHSVMnhZ0DNHafm38RJt/8CFrnZaJzToZW8lb1h+iH8SUtcOMfK7E5XIfWPq9IY1QMQd6fopwGONGfz7m11OhIhRttvMQIbcIREpWB9Jz7cSMHGfXRDUeNPZpt2ZdlDrstqv3Oe+/j/fc/EOwzTQOIbK0/fvuNv75brz5CE8MAdNJJniBHW08D00E27elZ+cVo0am7jUBm5mSv+O4z/PDOSzj5vDlcjUnlU/Ma2Qi4NuplK6Adp0Yu9gMdZFuYa41NB1Oix8IqVVVoaO84e8IETJo4AaefdipcDhf2lh5CdloSvDyOpT6AEdEWjRwkKQEfDtXWI5UqBjDAllFtvbkc6BpIwbpQDXo7UwyHnR7RVlhFqJGba6Ph7AW9JgKNQmNK6gxJRyCx4K7MKMZ1B7diW30tKirrkcHnQlVEHEKgkEUK69E8LQUl+dn4e+1G9OnZjZnSJPTmcIYEA0XiPvrOiy+6GC+9+Dz+M/8GQ6soNTUV9zyyyGBDqDJfJADb1KNpajcA6khloImHHqzT6Qt0x+f3x+UUWv5SeSJlGZVPfvwDWdRRRbQBmvUSDZAt87ioEUgXt4Krz4sr39JzUfRqW4y9B8u5pJjgU0uKkbERipGZnJTEdcIbOurravHtR+/En72VoYy/3lyEj2+ZicoDe0Q0OxJDIKcYPWbegkBucyNHWzpejcg3LShZHfvh0MYV2Pj1m5wXonJLTPqLKDvAomc2Csy2f9bhoXmzMOu0Y7Fv7x4tJ1xSNmIx9O3XH7/+/qe2YYhGypmk2l1H6q1S/ENNpnbZGdhcVc332WukohgOB9q4/Vgbqcarob3YH6u3iMPFjwx7FMY0OCiiTff2QQiy6WOFIsFeo+Cn/EuFtywCUOJvqE9IHddyUeIGp3ntY3VNK2vE1F4jp0bllJhRHYvxaaNXct1gWe7JqzV6TNEfkfeomq486cDW1cuR36oEKekZlsVcRaB0B5feEh2Gp9sYt1JwTXPKxNf7Vu8Ri6NR/xsO3HH3PViwYCFKDx7SwKuIFlO7/f4FGDnmdGzbtYc3VPV805tSHzWNG10oxWiaSji9vnrDJpw59VzMvHSOfJ0oQ9TU+1yorK7FNfOvwwsvLsYrr72OfgMGWsTqDJ0BI/dIdyapfrRSMLeuXYFH5s7E7g1rzJrEWikk9di43nT9ydHVqTeOvWohAmkZyG/fg9e7pU/fgLK1vyNUvhc7f/4QO354F+GKA9j7xxf46+kbuVEO9KrX7sfB1b/CEw2ioE07jJp9B06atxD5LVqj05Bj0a7PYGRkpnNkmcGvranIM4Hj2nDTVDVLq+rhS01lOi81Og/VjGi2BNz03LTr7kF6WposDUV5viZV7p0lb2DG1KmaZkeQWU2xUD3uWPQy7px5OtyREKL1dfjjn+1ol5vJtRHCtUFs2luGhX+txZ3duqCt249QdQhBarVh1NeHUReMoDYYQU0oippQhMUMa0NRfr6+PoJQbRjRugjOzM7nvMWvtu1BuC4sVMvrRO1OpWAecAJjB3TFe9//LthVzL6i8mGi3CS19NRkHDf6GHz6ycdsVitGF83TR+6/CxNOPg57dmw3lOmt64geJbbVVk1EPUzQhNK9vpY4sWPjBtwyawbun3eZyLNWTavzruqai2uj6OHmGmaUBrII+eiRb2Dntq04cGA/evfoxo62v/5ejlOmXoBlK9cYDBexN4uNb/nGbejZptjck2VZScUoILZSz2ZZ/PZVpYfYwbq3ug7JLhe8VIpKpg8pcU4W6FRGtG7UqceaIGWcjZJg/azae6Dp4MKIxuopVg2sxHpkIn5DswCSEwb2xJTRQzHxjkU4WElUZhOo0FzoWJyHzNQUTdHZFCOzlDjV1Z2lIW1tJBZLTeZqavnG1IJw44O/1mP6w6/gwkdfRyA5CYuvuwRPz7sQ448ZioysbDi8ftlEKSuz+eHwBCwCYbc+vhjDJ16MrXsPIub2IebyiVuPX9zyffk4UXPTrXq//loAMa9qSYAvWTS+n4TV2/fhzP/cgZm3LgQCqUAgxbz1pwL+FMT8dF/8XYyal1oSot4keZuMmCcJUU8AUbcfEZcX/2zfiTsfXIiTTjsTdz/wELp074nXlryFO+99AAOHDceff/2NCWeejr+W/Y36SIzrNHP+Kt+Kus3UmhUU4drrb8ANN96EK66eh6cXv4oo53r7MaB/f2YS/bl2k+hH2d+kkfHw7Cm4/pXPECFWlM/LaujcGHTIcmQeJ2a0a4U39+1hW87lIdFKUR2Cc2JdpBjt4Oa1NUdZ04IRsWCtVdjOANQyn0qPWqsEXzUf7PfVZHGQPkoEgUCS+GydsSfvL1v6J0rad0B6hqhcY5E9kPa9Su8yzD89GKGbhQA69BmE7958Eb988LphZ9E6v+r7z7Hmp69RXNIBlz74PNr16GOsj4no4Q2BbGOtdjjw3IJ7cd74E7Bv13YLU9YqtmYNZBqpq44jYzA9qp2UnIJjjx2NN99+D6vXr8dZU2fi3NlXajabtLFknjY1WhtO6t8Vn6zcJEvcKWwgQLeDAK6MKndPTsWa+mqL/epU5y9vCSd8gv0oRci0wRXj0nCeqIi2wi7GtoFUhwtJTmLaAmsrKuLTROVeQntOz1aFWLN1l4EJRVDVLNWpMGffPr2xauUKs/ywou4bpZxNRzSJ5P3PgTYZJmJMx3DuNbc2+Qv0C88+/AQg2xAqkrcMkmVH/bF6A3q0a2XZhI2OiljBtAG25WtGtDsawZqtOzH00ttQXx/EsvWbJFCXHa0DMcSY5kU04IaOupoa+AOJIkym0U23Fft28OcGqyvYON/5++co3bCMqeImaJHeRKVGrhqc6HDmHGR3HoC6ysMCZHNNP6KJU5PgWoFtKUxGzZecxptrm05d8c1H7xpROGOgEpXB60NSUhIOV1ZLT6GS+HdhQNf2vHkLT5bKxXChb2EO/i4rN2h93KRxRVQjEiqgrPZtsTpzUbD0ju4xt/eceCaTKzYCB2Mh6ZVTlH2gnmqex3na5R0DZJt2Cgm4UcSJP98OhvSlRy22TQTadM10w9g0lPUcHK1cgwQUwqCVir2yCVEhs+k5Om5bFGn35vVo3q6TAdwUpdNI0ZDGnbVZnRV07Nq0AbdMHYsPnn/UBNjydxm3dmCtq8frC558j98fwC233Y4LL74Y9aGw5qEWY2rTtu3894crK7VcrCY0Tuuw17m2gmuDtqc2B60MSFpmFlxuN9q2bWvmysnXyFG15O13cfpZZ2PkyKOx6OlneF7rHvJEt4qpErc5y4FEW9+Kn7/j7133xw+WTdUYEy6zeSz3nfD5vCgZNFqILbrcaFbSDZmFLdhJmZyWgbTcAiQnJ6NFz4EYeu58jLrsTgbPo2bdhgFnX4iWXXohLTWFwV6Sz40kEhrzuvk9HEU2ymuZj1UeNQFjikSTsdeU43B9hMtjeTxOeBlM680E2RSxfvOeeSgsLBaATtbSVg6lTevXoai4COmknssMJwGyqa1e9w9/RuucVAbZkbp6rNl1AJ2aZSJSG0TF4Wrc/NPfmN+5I3yhGEI1YYRqQtxIDK2+LsKAmpzFCmDXBgXI3lhbjTk7N+DV/XsQqg0x4J6RV4zXt+zA3vIqBtthUi3nFkQkGEQsGMLEIT2w+POfgJDQESHRLJEGJZlasQimT56IxS++KNRKtZy77Vu38PiprDxsTa/S8vkt40UDtu6mgmwLSBaNckpJU6V5q9YGuFbq4RannzS2TUVx/TvN9UitPeat+B333nsPrrnqSknfjeLzr76Fx+XCl9//rDzKppFDUah1m9GnbbEwmDWgHdUAd+v0FD6PjYcqOV3oox27cXyzZlJJXi83SUBblukxaIomyFZ0RbXOqeogli3FtobW7Gsa0I6FyTlsBdf2GsLat9hcoTawrUX9VcRvVN+uzMqbfOci/LFhq0GbWbNtD7oRRdtgVeg1cU2WgLWZNaxVW7u7FCPmP4oH3v9eGNfEjPF4URsFPly6Hhc+tgQT730euw9V4Z6LJ+D1Wy7nqi7k+GUgrQC2AtXU5HOwNwLbbh827dzDe395TZ2pyK0AdsLm15oGsO0g2wDaAhTHfKoJsEzpj7wvtGktAbbWGGALkM3vl3+jg+yYAtneALbvO4gHn3gK486chPsXPIZeffvh1TfexH0PL8TQkccg4nQzqK4Px/DlF5/zmv71V1+ZALuhFgVal7THK6+9ge27duOaG29DxOlBx06dORiyeuM2Q8lc9XV+Xi4mHTMIT3z5myg55hO16V0GyKayei60SEthpsz+aJirLhAbSc13A2TL+zrQrtv3b5xOehkvG+DWUxDsziidsWZjqx0oPYjcXCFgq6Yta57I++vXrkHHLl0Vr9Scm3qcxRYQS/Tars0bcOeMcfh88RMYPfkC7NywGotvnctO08W3zMHB3dvRsd9gFLRsA6/HawHN9v2+MZCtl/ravX0rf3l1ZYVFV8ICsi3+Oa2cZ9xipAc4tYCeEWBx4Nzzzsezzz3HoJv2hTZt2liqr6hSXyzuJ8H28f264vNVm0SJOwLYHpHaY6jdc7URBwp8PhZIFjRwmCwp5T8hHQAInLATtUqmTFxPzf4yy9DqNpmJk1p7A4w5KABIbzBTSGUJNsli61CUg3Xbd2uYUKU0CgFCwb+McdqtEvxWgqcmy0uRfMVjsh//59TxOhnhOLBnF9b8+QuKWrZq9P3xnmJBD6Dc7oqKSqQnB4w8AiEkA66JeusDj+KLH39Fkt+HZ2+ei30HD2H8UQMsFBj2WhgdpUe5JS2I6XdC3CXmiHBHVdbUCmPG5cSmnXvRt3tnqfJoD3MClVVVIqfKQm8230bUu2lz51sDpDbxM7odcv4NqDxcDmdSBotnEdDuce6tWskvUzTM5JwqSq6YSP7sQix74mr0nnkzHCkpguLLyqpmfjbfukwvflpuHq57+k24Y2H89fUnJhVGqkxzmSmnAyeedBJee+sdXHjOWYg5KF9BgJUThvTDE6+/hyFtx4r6shJo92+eh1dXbMT4wkKDIsKqtLwIO1Hk8qGdMwltY0lM+yADU+9Zo3xVfM8a9+kaZcQ8OIQQvowcxLJQJZIdLvRyp6DQ5UUWedotEQCzr8RjjZwuxYX0PC57eSQB5OXFo+gZTTBaXBob2zKFwlqj2sydVKrxQgjNpOuz8jiBdAepeouyWk5bIyEy+gnbN6zBK4/dj+U/f8caCOff8iD2btuMjn2HGGrR1NinptTFtXq69sPoHjhQV1PFG1z5gX2yG1TddhXZNhXqTZApfo8qESbuy98mF/qevXpj6rRpuOiSWXjqycc5Yitysx148pEFKCsrQ7OcbHGemrBNwkOjf5snb432qG1HMGjttHLx/qLi5vjy88+0wQJ2olFVgQ8++IDnwNvvvMsCdhbwbIh1aE4Ho6+swDru1AGMmXI+/v7tJ5T0HMAlclwxilrTmiVoUIbyndRdUNoLemUAMjrTClogVHkIG798A+u+ehv+tEy07n80WvfoDy9pY2h0b8PxoouscDnaBGW+1HON8NCCTNNt3BdbVhNikE3RbC+BdLcLPgnc9bb+ly9R0KI1/D6PdDBZI9rvvf0GJk6cSPFJWeIxzFFimpP3Pvsadu/bj2ZnzEHA48Ejk07Axn1lGNizPUeaX1yxAWe0LEK2w4VgLUWfwwyYqSm1U1VqUOXzqc2yghyysRhKg/R3RHWkc/Lg7PxCfLR9N2akJSESdHGONzUXlwkLIyXJx+cdrCeNkiSR/qSX5olGkZmehgh/PpUidBmpRvc+/BgOlpUhKydXpG6YPGBj/OhNz80W1EBTNbqhQ11f/SgoLMSiNz+KU8kwamdrY0QvJWOvHqKYNGYk2wTbK/5exr+5W+dOgkodjeCKC6bjux9+wFEkKMZ7tekAD4dC+HP9Flx/+tEMVJXDnA0mWfOcVKGpHnbL1GRsLq/CLftX4f0de5Dr9WJ4RhamZhfAHSZxNwGy40r3yFw/Fcnm8jK2+drY42BFFYLVNfAmN56+QU4XgzOuPkQTJjLSfBQtXL1BLeD6GRgnIangvM4JUBLw+XD0nHs4X3vxNedhw659GEHVNVQUXOUJ2cuGNTJa6KiqDzMNmRxM5HT/ee1WvP79n9hZWo7j+3XDdVNPRYv8XCulWtFLDVCvnlNq4rrTVNZQ1yKZix64E2WHK9EsN9f4fYoyHL+mJ0AURr/Zfp9lf5EOUKMvokzT/vq91+P3H90ZYssXNrQ85O/ZtXc/7rzrHhyuqMBZEybivIsu5TKyKqARtLAIxb459YJZ+OXHHzBgyDDDmamDJ+WwYiKe5NG6nW7Mv/5GPLXoCdy34DFcddklKGnTCus3b8Oc2x/EUy+/idzMdJx69CDcPGM8JoweipOuugcXj+4Pl8eDiCcMpyck6bQu2ZyY0qYFFm/egblFrRDjQtqi5J/al2gHVE54dQSrqps0F2KhOivI1jRRDOdPAgeUCbh00G1el+qqanYy07Fq1Urccfvt+PrrrxAIBPDQY4uweeMGDBo63DwP/T8bqdF8j/mkeq2uuorP73DpPrZxz77yFuzfuY1P57zbHrGti1b6t74mNhTZtt4X7731/kdQcfgQcnNF7XP72FDdoOth6VMi0Y5gLAUWCrl4L9mVp5x6Kn7/Yym+/PRjoZNFzm2lQM5aA2HOa2bVfI8H6elpyEhJwqq9peicmcrOG3LciLEVNujj1GetfQGsjdSglSMg04qE7av2kt6ONGyN1aHAGj4zztXQe9JEnC2PozEUe3ycD76tthb3r96Ad3buRpbfh+Pbt8C8EwYjPUVgxeY5mdixv8xkQ0vMaEmtkFiga9euWLd6NTr36Bkn7E3nJWx10u2JNrnEV9OBdkgs9uWl+1C2XxjoTT1079HAQYPw408/46TjSGBAbB40qOrqQzj7ornsibj6gin47LufcfHtC1BHJVYon0yblCr/WmxWpvEtNrQEEM7hYKGQd2+5FA++/RU6tZbeX23RFwuqWEh/+e0PjD7uBCOP1fSsCNrwy08uwJATT0NyUrpB6TZL/Zg0XNp8/KmZDLLpyOs5HE63T9DDNbqLMcn5QivgIF4gA6to0EnY/tP7aH/cRAt1Qgw2e31ukVtC30H9VtymPQvT0ODhiKvDKRTKY8C408bjjNNOwdSzxyPAXm2aTD506dSON9vSuiCyfD44fV6mIWWkJaN5egrWVlehxOeH2xeBOxQVtNFIDKMDWfi1rgLdXKmcS0d1vOlkqd/Eb9UU2hOME95XAGTBg92xOuyPhTDYlc6D/KfQYeREPJif1NIQo7AroNsNywyfFxX1wQTj0YxkmJuv9PzVVcORktH4eCYqqKpzLsVDRCUsFQEWiwkb9BKIMug2BOkEs4Nzti3l70ip0YlIsBb3zDmfz2/8uZfirx+/wXO3XYOKslIUtymx1e+WASIJgHUqlOpTO7Aq6dYHcx5+AanpQmXVAJAK4Bn0KauQhvEcCULI9D6+ZnIRpHcef8JJ2L9vPxsGd91+m5EZRAyKZnn5xoJmqCo3BLQby7/mee+MA9XUr7v37MGmjZuxZesWbNu2nY2gmppq3qCrZToI9f0ZZ5yBd997n2tKGsJ9DWQYNHB2pm6DqgMpc3foelKEv/fQoxmskudTKbqSMSOuuSxD5BCLtV4izPS0x5Bd3Br7/1mB0i1r0XPMZO6/lV+8xVHvo6bP1ao6iM3dOA8JhOxebx2Ym1t24qO6Pgxvkshrb+g4XBtiYE0Am4G2FhlnujiriTuZ4XHS5PPgM1IlNAEthwMrly/HDdfOg4MUqg0wFuEUnne//RUFWem48pSj8dnS1Zjz2mdcaqdNeirnXv+65yAm9O6OcFVIKIaHbRFNDWirjZqjzDGglcuPuanNkelyyTQIcaS4XQjKdClz7piMGR6DVA6Hon6JqJDSqBS1ysVnq+FLXvPcZrm8dptmpZg/QqxLrYUSLCFxWa9EY9K41QwyOT3Mcas53dRragzr0RMjmiLpcwZtTgPZemSbov3XX38dnn96kRnZj0bg97px/IghVKQbCNYy9VJQ7sN485tfMKZ/V3YcR8mJIR0aVFpNODdC4rn6MFqlJOOvA2XYUFGFE5o1QwBOvH9gH4vdTU3L532WGF+KjkvlJRXQpluTsSN+v+5Y0Ez7xHNh7wF427ZsdC6wkao61wa2jY7WEyiNK6LEzZSQZCKBEwfqQkFMvPVxXheuO2csnvv0B45uV9cF0bFFoRiHRv63HVw2MGK0NbR/5xLccM5YfPrnKoy7+UkuHTV7/PFoLz/bqESicq9VHrYBtK3UdHtampgX9LzKxRaR1Nz8FK3UoqIRS9uuISdq3NEA0LaG9ixaLeZr9r5RA0MBf9NGpLZ5y3Y8/Mij2LtvH+b+5z/sYBbCtXKdkQBbB9nq1uX1YfDIY/gbyW5ULE9FTyUwImqXq1IE8hwdDpx3/gWYNmUKVq5dhw7t2uHnP5fh75WrMXvGRMRCISx64z1WbL5j5ngM7dIOv23ahUEtmhmBEgGCBMh2eV3olJMB7/bdWBesRUd/gL/K7YhInQBK1DNqjlqUr6v27kdW21ZNimgbEWuV927Pwbc0i8FiM+jENaJodmlpKerq6nDO5Ek8Fy67Yi6+/uoLXH3FbJQeOIC27Ttoa6r+seIX6fu0OjW2n5QwpRNo170PLn/4RQRSUsX1cTk4j94YgXJ9tOiwGMwkxXTEESPZFh0M2hckyDZ6yUYT17/fhnLi5oMRyJQuDKUob9h6nKs9ETOmTxWiaEpfgBxktAe7InC4BShlZko4xDXob54yDuc+8AJeveBUuAI+dj67pQ4KtShV7AhFMalZIW7asRFXpDeHz8i1VkLJoqpBm2hAwwfW32MfDpbXJP6jNb2Zx4tVFRXYUF2Nye1acpT9lRUb4fV7cfP4o/lz/W63YFpa1gcRzTackUwjj6J37974e9lSdOnR0zIslY6p7lgh+47E2f6nEW2efuEIcvLN0hdHPPgqy0sdA4aNOAqvvPgCTjzuWIthctfCJ7F15y4s/fh1dG5djDNGD0f3k6fwRxwmWoDu5Ux0X5YPMkQD7FYHHJzrvX7HHnRsVWxVNZSGEl14an8vX4Err75WeFAMYKsEFaJY9ttPGDNjFlMQLSV+NLBtUjTEUXtoPzJbd9MAi8ZZkQNP3VqnB9XUHYqaPZssAFEH1iq3O17MIQZ3IAlvPr0AHe5ZaAqmyRxjt8uDs8+egBdfexPnTz5Teq18cHj8uOjMk7Do058w/5ThiFKuj49oSB6c27cT7vz2L9zWvQs89WQIOREh2mjYiY6+ZHxcexD1jiiDwZAmwCUr6sS5QdRhDmYHMmNubEYNih0+nOjNQZLLiayQG+/XH8ThWBj5Dp+8fKYAjnaxjSNdlviyDEYL1cLkDinQTSWEcASgTQctmMpbqKLaMRuopt+ior8EN9Vj9RzX6qMFiBXkqTybk0u0Pb9oAfbv3oHH3/0aha3bYdjxJ2PWuKP4e5u3LuFooGAmmDksRrBEi24b/SoXbjac5XNM99MNQQXy5JhTDgQLADWE3fQom3AecLkiKT5EUe177rkbV151NW688QakJifxe4XCuFDFTWjoKCNRnXlDtbOlMUZ/9deyZfj662+w9K+lXK+2oKAA7du3R8tWrTCmew9kZGRyigR5wUkFW21WqnfiqOBqLjbiAzC3OzFXlXiHEH5UXm2xkdM84zK04p0yci2dKlJ4Ts+N16Pq9Fe5xa2w5Y/vUNSxJ4674GqOOFGNzu8WL0Tf0WNRWNLZstlblUptji0LyG4cWNBBucxHkr6pCIYFTdxt0s5VrWwWOfO4sPzL99Bj4FCkpSbDS8BbRrOV0VFbVcnXhwSuHKEgCxUJoB3GjQufRV19EEtuuAjtM/wY06UVBt24iL+7VVoyftu5Hz0y0ykRF5FQRFCIwyq1RoJsMoA1g1c5xrjuaTQGP4ECyd5QSzKzTuKiXbIP9WaUqrIbjSJ3jGiS1pQZJROoOcAsxDmh8s+sGDmehGNOjKFG45IJrqvuULGAbXnHwnZI4JQzhUyVUWoF1+aYAxYsXICJZ5+FvJwsGRkJczSfqXkxSu+SYqfEVIiQU6QeL372E16/ciqioTCiIXqObgXgJrAdlbT9cDDMpVy+3rWPb//TojWi9VGkRR14sXQPBrtTUOD0Mz1XMRhU3VZRIcBM+1B9wOPAZtA1dFTt2YfMIwDtGKU76B+ibXZqtRCv26PY+s7YECCO4Z5XPsS2faX4/Ymb0bFFAU4/qh96zrye3/HZn6sxtFt75GWm2kC+sbgn+EygsrYev63bgu9XbsDSDdvQp30rTD1+OLq2aS6o5VrpT0O4TAfYFiXuRClBClxLoG1UeNCAtbw1o8eabSfP1RAIjKPfJ7wSlt9rcAeMPV8z6xMBcuMrFOh3st335dff4ZXXXoPL5cbFl8xC1+49eEyRP84IxkhxTD21ytDI0dKy1LmoSyVYInLtkT5ZdTIK89Paf/c99+Dyy2ajU/sSfPjp5xjYpxfuvf4qOMN1aJaZipsefR5njxyAMYN74aVPv8fg1gXiOnIerYxmq1uvCxd1aIv5f6/C3e06wh0jtqD8Vhn518vKqnlSvadpQNsE2SqybU+jaKjJuWK7pPRPamoKKisqce+992L7tm344edfUdK+I04+9TQMH9iP39q2pJ25lmlNOA4VwHZYQba021S/U3+nqUBEAtKDsqt0cG2phd1QFFsD4fp+nYgmbgzFBMC7wRngsMIuizCauq9hkJTUVBQWFGLt+n/QqUOJUCAn8ElzO+Yxc5i9pJsi1u+C/GY4a0QfPPnDMlw0uIdYp0OEBSKIMtCO8F6cEfLijKw8vFl5ABMCzSTINtXD6RwEqcMMxqmfoNutiX6vej4kgfZ3FYfQLSMNc3t2hD/Nj7yMFDz4y0qcMaArenUku8OFIKV36c42Y200mdE0Pvr27o3b7riTS8SZ40gwhewRbnLsUmDhfwi0xWTr0LMvOvcylbLjjgT7hI5t2nfshHXr1kmPihD7qK8N4b5HF+GKC2bwAkKbdLvWLXHiiIF476uf8Pc/Ww2lYFWzVKw8CmGIzxECsQJxqEinLsCwi4QcHA54fT6trIBVsKGsvAIerw9ur5fzaggg6dHsiooKDD7mREOJ2AqwTRCsD2a6LV1HwmNu+Ju1tEazNcNejSClMGuMLOqjijIc/GcF8jr0tOXJmlFtO8imllvcErW1taiuq4PbFYBHKiWTuA25TsafeTZOP+VkTD5zPJLdPjjcQc6hOnpwfzz40js4VB9Gus8Hly8Il6+eKRgZSX6srKpEZ38AHvJieSPwhKPwRmM4MZCNz2pLMc6dyzk9/Dvl+TVkSggQaHoXqxwR/m0nunN4kWKJfVcAyQ4n3q85iKuTkjUj1zR67StPqseDw3ERbVvo0ublbkqeNk04WiiNayyjW7SQibq1AnwygGIgqmjjJq3cAODSce2SxjWVy3t10UKcfe4lKOnQgQFDqzYl6DfiWPz61SfwBwRllYG6MsI18C6i2yZQjjeeTUqpvohZo9b6rV4P3fxNXFdbpTmo71A0Mwdw1dXX4Ksvv8CZZ52Nk08+GTNnTIePlY6jQjFZDHw5zDVPgRz3JlNFnanafRxYu349Xnn1NSxduhR9+vTB0aNG4aJLLmGRFH0Jso8zi9fUmHI2UbgG/tZc7KVDz0jv0BZiw1MuPdyKjs+fx5r8YqOn8kNS4Z2BuFahwHRuiKtXXbYf0UgYJ10yHyl+D3/HqInnYfU37+OXN57C1JsXaoDHrJNtnK/jyJTiho6mqGpW10cM0TMG2QS4vWZudqy+Gn989i6OGXe6ENnRBLdE7i/wzbdf46ijjhL9wxueiGaT6OTCV9/FUb06o2NRLiKV5Wibk45jO7bEJ2u28Ob14859GJWXK/N0Ra4ul/1T6vBK5dTu/JTWBzmHjHGhMWN219Ujx0cOPa3qglbWaGtpOXIyUq2Kyrb6rxs2bkZrygG1AWAxV6wAWzQJx6THjM9MlfySA7axa6dfd/M502iJOwcL2Denmx7hVlFfnV6u52SrtmbVSixd+ideXfy8UBsmgG1UBZG0ehYtDcuIdhif/rIMI7qVwO+iLV9EsNloo/tsuGmtPoyVZeV8nea3KeEodrg+jHHJOfji0EEsqTiAC1OKuDqKiGbLevdauoA+p9nJIjtC/80NjvOmCKIRdVzft+mwgF4FMAhRRU1VcX2N05XIjYsIFvS7//WPcfkZJ6BjqyIeuyQQe9LAHnj/52UY2asTrnj8Nf68Ub064dg+XVCUkynKq7HuTQwVNXXYc7AcK7fsxPLNO7Fu+x5mVwzu0g7jhvbFLTPPMMqr6XaRKmFnluhKBLRNPQ4dVKuKDmYk21QYNxwPNpVp7h8yYsNhrN/wD9avX4/NW7ZwO3CglHP31XjXb60l08RjAqdJgQAC5Gxlh6twuqanpyMrMxOZmRnIysxCTnYWsrIymYLsdrn5O3bs2Im16zdg6V9/4aeff8GoUaNw8223o6CgSNh/CQC10sPRK83wrYxyq6CDsbeqwDV1EwUR5UZKUW1WyueymmK8kt2QX1iEli1bYvWadVzX94Hbb2C6OqIhzJk+ES+9/znueeUDLL5qBtbs3Gfk0pp1jylH242oJ4Ko143s1ABOLi7EIzu2YXZzciRRNFOw1ETnUrhJVr2RY7EpmgWsV6ApuNvZPo6Ezkkr2I7/ULHPhcIhPPDAA5h92WXo2LEjr+1t25bgmNHH49OPPmC2l1FpwOZIM6spCDtGAW225ySdSLxfMPeUKW6Zjpb1UbCyTMq4ANGNRbHZftMcmPqebV+XjZXBFj+0LzONXgtbXW0FwJWtcf4FF+ChhQvx5KOP8CAUQSfh8VGplVwSi8U+w3BGwjjnuKGYdMci/N2mDN2z0wxwTWlVlOrDUe1wDAOzs7CstgrfBssx3JMho9kihY5dObROy9KxRhVI+dsIvhpCaja2lbo9HA2jJhrheTa3U3uxrjscOLdvZ7y7fhse/voPPN+xtbZGaPampZlgu7AgH/v27bMSLYz7Wr72v8jTdv9bMbRfvviQc6iOHjvedjE1ilsj300nmpmVxTlqzbIzDdn+YDCITh3amRL/TicG9+qOj779FccM6IWvlq7GMb06IkZeN1kT0QLcJB3XGFVqAefNQCTyz3tqMW4+f4LIwVWNFIiVerHDicWvvoEJEyaYNZyZhi1ANW3ca5b/jdFnTkEtRU20aLZIzo+PAKr+qDm4l5XELdu9Mqh1nB3njRaT3ZuWjb1Lv0SzDj0sebQWsK2AtgG4xQI/557HUF9Xh0jAb6qwRinHIAafy41p06bj8WdexJWXnCvENaisjs+Pq6edjnve/gp3TDgerkAI7iCJAYUxd1hPXPrB93ioX0+4Qx54QlF4YzH4YzF0CSdjQ6gGS6OV6O1MM0G0RWzLOiZ0oQQC1u0dSVgbq0YW1xMWk+3XcCVauvyIkEycFAJLvDab0Ugy+pk6bn9jwhVK/FGstuqIc2HJ668hJSUF7Tt0QIsWLZgaqvKEFfA2BcT0KHbMQivXATfXqQYYhISCQbRr34FBiaq93a3vAPz+7Rdo3ba9sXHTazQ2FdAWkdF40Gj4a7SajGpxt7zB7D5rrrDeVMRcRfJhjWrr0P3oY47FUSNH4o3XXsOpp41Hr169MH3qFBYmMwGFnBEOewjI6sfcvXcv3n7rbXz2xRcs2kHlKW686WYt19EcV+bwanwRtJAaGgDXpgFu27ilY0FXp+QoKAPsGNx0bXkXj/88LpsGJ0e9iWViXyuUA4D+osfQY7Hy6w9QUNycxcvEd7mR17w1029JzEwH2InU/nUxPN2mb7hTxE1TgDZFvekcVCRbj2wTZXz72rU4fuIM+D1uTWDLFOqiPnvv7Tfx0IMPwClL8SgRLVrUwuEIurZubopkRWPo1yIfX6zbitZpKdhVVYOiFkWIkWKTHKS6qiz/FkWjVVhHXjezFrQQonNRkyq8n+88gNv6duf8MxISchrNw4bti9/9xirQQjRK7CVC0d4s9fPdDz9ixIgR0ntqvyaGT9jSDOJHnFNSRGMaPhpmK9gdL3HON9trSgNCj2Krx7qhKtbsGKqrqnDNNdfguaef5GtoiJUydZyiIEKk1GhhioAE8eT7X+O5S8/mSDYJzImotp06HkG4PoKd5ZU4JNlJOTE3QqQUT9GTcAx5Li/qY6IMkZGTr0rwaVFE/TeqPrIYbo30LtFlj3jQvpnIOFd+c5XyQrugHrVVC5E8qbjUAP57B4KhMDq1LLSseYO6tsPHvy3HhFGDMPGYQaisrsNXf63Bg299gX2HKhiMKfsoLTmAvMx0dGtdjAmjBqJDiwKZlmcVXTOFqrS8a0uZK5GDbQpPSoCtRbMbAthKeNVCEZfguryiggHt9z/8yOCaQDKxk6gU6YCBgzFh4mTk5jXj/fZIh5rzpBdAgQZKH6qpqUVdbQ2qqqpwuPwwDh0qY2dYWdmfXHuZNETqSGxRqgkXFxWhQ8cOGD7iKFx59Tz+7fRKOIFApopk6xVejGh2LAHT0e7EZpCt5InFJqvsA4q26mliY8eOxTNPPcXn2Ly4WKZfOuEhEc0WRUyRJYBN6Tb7KqqRo1THKZ/W60Y07IZLikbRGntS60JUhEJ4YtcOXFjUHA7S66FToNB6kN354lJFmPeDuiY5neotINuuQK47WCzeQx3VNDArc7JzBF7o2Ml09juA/gMH4svPPkHbdsJGUnaOqRStmgDYtPYbBiodtHQ5VT9L56Z22FNt9Ii2kU5jE6/UI9qKbkzP62wh834Cp6i+Nh0hmq2fbaK0obg3y6Wnc5euCAZD7NTq0K4tHGyTsEgMHOz9ocgcVR2Quc2RCJyRCB6ZNQkT7liERVPHICMloFWLUFhIjPALipuzI+e7UDmO8mWaTtoIrYbkGAXC5FjT9mk6qN+Y+UbpVqSdQnu15tCgftoRqsdxObn4tfIwCpIDUhDSwRHsVtnpTO2mDojEokIziH+7DBupKLZFEFsL1Kqe5DFmLQ+pxhIxXZpy/KuINp9jVACdRIdu3Ce0cWW0bcjQofjxx59w2iljeZEgISI66utDpvq1w4XyyioUNsvGJWePxYwb7seoPl3khXezV0QZIsJGp8EhcpTMvF1RsJxKVXzw2yq0aV6ALu3bCpVGKVev1IlZ0t7h5FrAb787y6JwJyjjMV6I33rxKfyn9yDhLbcBW2uepW5Ax9B8yFg4qFSE3lmqT7THHOU3qL/mzEopbIs9f3xujAWVT6ifoxVkm7TyUDiCO2fPwP3Pv4GIpB0Lx4FYJIh2c/bp4zFj6iQWEnB4QpyPMbR/Hzz2xofYeqgKLZICiAaD8IRCyM1Kw/hObfDqth2YXNycPVis9ErRpGAEYwPZeKxyN/KdXhQ6TaEDFVmyDw5dvZYmYBY5P6JALaI8seoRQU0swq9TeS82/PTaqTa6nsq5IEqoEvEzjNAEQ1d5+USO9pGBdovmRfh7+XJ88cXn7GVPS03DsGHDcNKYMcgvKJBRX0klVwq3ukCaRitXgFtQWQGH3yf6KhRkYEKbAgGy2srDyMnLZ/VmdpQowEZ/I9cJM//FpMGqH28alba8JVueroicKYeZKYRmifpqqWMqN5wdKWZv8r/kWCDj5OyJkzBh4kT88ccfuPf+B7Bnzx706dMbx4wahf79+gljz35NYjGsW78e333/A7788kt2bIwfPx5vLFkCr9crz8U8LzVjdKdVUw/LkLTuVrr9a6XYyuulqPQiqixy8mmc0obt1nLc6BBRbEU1U1FX63kb9EZ5rfKKi/l+qLIMSfl5Jh09HERSWjqSJdDWPfb235QIfDWIKjTHQ1PKV9RTuRUpfiYi2rK8l9uF7av+5AhMi1ZtDJV9A2zLklG7dmxFUlIAzXJy4IgGxaYnQZoSYiPhMVUOim7La+vRjNIACOiHw0hyuRGMBa1sMG0djvvZsp8MkK1KYRHIJudAsB65AR/Sk6k8DgFtEQUSqr1uRJxO/LlpB26+aBLvJaKZ+4mKbv/w00946KGHLToH+hKUyACygGzb+FPzKtFhdQqpz04AsOWbFchWdr0xftTzmvfe/tgQQ6PRHQnjwvPPx/xrrkY+qQFTaTYSs1PCcFz9Q0SxRflNaiH8tHwNurUqQLrPhXBNnUEXZ5BNYFtFtOvDqK0J4vbl6zC9uDmu37AeB2pq4YePwTblY9dHo1xHmKLZ9RrIVukClki28sPr/aZflwYoA02KaJP4mwLKicA2GYGshGuGlfRa2fqVtt/1yjWyjvMMzTrd5VU1KMjOMModpaYk4ZThfblZvjzOi2hGEU0VaIfG0LDSxR0auNbrY1tqSiuKeKMAW0W8RR8tXbYMn372Bf5c+idSU1JZw2fS5Mno0KkT65XoDlBpHjMj70iH8XMdLviTUrhlJVoH1Vqb8FPMZ3lflfRvY69NELU2gbUOwnVQHl+5Qs0pnbZMjBfrdxDrTezFAwYMxI033cTv3XfgIPIy0wzQWh8MISPZz9dweI8O+GHdNpzWu4OIbPP65YHLS8wSU+GfjgntW+KFdVvw7N5dmFlAqZU0FsK2NUNEt0MHmhDR5rmQCGRLJqLBmjDHoTWBpuFj0KABePX119kpwqcmAdDh8nLk5RcYolUCgAuWmaGpo5h5+tVXDHm1rytmnsnft7IAbfutYbvqkesEgmj8k7U11R7FVnt3IlBtRLgbi2Qbm77VIdDQm0VUWaQ9XjNvHu647Ta88OzTcs4KoM3OFrrupEWiWA1SeyO7WS7uO/8MXP7Cu3h++hh4ZJlF5RAXgtXi2y4tbomndu3AO7UHcJovGyQNKsR/BeCmtZpTJrQz5P3ZANn02GQKCNtL9G8BC1cDZaEgCjRcEIxEmH1L/UzOJwLfmnEQF8nWtRvixOiUrSydNIrJQHP7fwq0ldFV1LqkcZW1JnzvoMFDsPiF53DqqeN4kadFwefzoZZKp3D9R7FY7ysr56g30XqG9+mKR9/+HLNOPVaAaaIfaNnMdJi5n3IDoZHt9mDtzgN48sNv8NY918i6kF5SpZCGkRnRfvO9j3D00Udz+YWgkW9jUsQ/eWcJRo47g2tYK8U5K23c6qXURZa2ff8O2pw4PS6aa+863oh1CqASVnM50ebYiYgS/c6lotmKqq5yyKVXVUbX1fmR4FOLdh2xfs1KdOvekzcqVgAkRxUbmy5cdsUVuO/hR3D7/KvgiMqottePGy88Bzc/vhjPzZ4IN9e0FZGG03qW4JJ3vsP6umq0S/LLMitRxCjKEAOmpxZgQcVOjPXmII36WHqCFRVKP3RhHTqfNCrpRMYNg2vgi/pyjPRl4OP6g/A63HJ91ngdWoRIT7li8GdQoJSX9AgDlzyxRxq//fpiUL8+xsZwqLycVXXnXXMNItEIJk2ahGOOGc0lE4wFmTZOuahFE9DIlXAaGReU2kD5iwpoUzt8sJRVitVzSqWaKDecHy2j53rpLc2XY/OO6ou9eMHRaKRXi25rudkqr5X+mn6buaybsnemAe9E3/4D0K//AB7Df/21FF9+8QUeXrAQoVAIfipdlZyMmpoaFjqh5zp06IDhw4dzCYrklBTjnAxDRTMgE+HkRg/tjVZDLt6LnYjiyyJobCiLzcJUZJZiNsbfK8o45WTLTV9FK1Q0W1II7Qd9brNmzfh+sKLMiF7TnCBHTMDvRxLl2tlyr43fpfnqrCA7kbfJjKPrTpUjHTQPKdKuwDXfupwo370Vnz63EFc+9Ay8bgWw42tnL3r0EQZqTs7lFeDMANsx4dRN8XslyBbrXWlVDXKSSSU+/lraz81gcEimkxql6jxYAZ3E2qiWrNcFh9eJRVu34/Ku7VmTwk3aFFwmRzSn14tXf12FcUP6wEkCMVz6xCui2ZrTljb2ysoqpGdm8j5idPORe9RcvBKNiQavg/V36++1OIhskWw9itJYFFuBcovyOIBr58/HqaeMw7DBA4zyZoouztFslZcdoTrjot44wmEsfOtzPDh9LEezVYvQrSGGJlo4GMGidZswtlke2riEQXWgLoh8p5vFz7hsUiwGcruoiDYBbeVMVgq7Rs/a2B3239/QEayoPOKV499t6/tE15vT3IzNSkW1rV4VfqQ7Sp3kwPIIQR+Jsulm/6EKNCONgkb3Ntvep9Z8Y3LoJZgkRVwD0+K+ootrkey4yHUi6rgGsCXYOnDwEF56+WV88cWX6NO3L44/4UT85+pruNyWvh6Si9xMvVF7krlOJTwa2Q8UIcTaU0cAL+pzDCe2mYZggGwjR9t2G7WDcbOkq77O6vulruFiMhf14ArZcx5kpgsdmb0HStG9Qxvj+pF4sD8rndeiY/p2w7wnX8P4/l2MaDYp+cciHhNka+v+1I6t8fy6LXhg+xbMbtEKHops6+CSQWUEscqqJs6FRCDbLhip7ayWaEjDzMPhQ4eybUUsTf38SAgtt1kzkzbOTnCpn6M5CXmq8eKmjQe15HI/W51f6vORcL0086x1EGgInGlg21xfE9PEEwFs3WZrDDjzSiKDO+o8GxzLCVpJSQkyMjPxy2+/Y9CAfiA3KgcziUFMfeiWFHL6gEhYiFdGo+jWoS0mHT0A17/3Pe4YO5wj2iKcrb7J/H0XNG+JD/ftw8LK3ZiWnIdkWlvY5pdMJLaHzX5n2r1kARglcIWeLKua/xGsRLekFGT7hGDrwWBIRLqlE4fK+5IIGn0JBRu9dN+YePHgWowS0cfk/Cdb1Ec123UKuea8UWLZ/1OgrT6PhHjqqxvedPTTlsGxuKNd+/bYuHGjZXL5fT4WveFFm+Xl3aiprUcKSfm73Jgz9Qycd+P9+PSPlTi+L9XJExNJpD0plCW/wNhAXFi2ZTeuffpNvHTrHCSlpotcA24iEhFjyp+XqfFPPf8ilrz5pkEZV4q1dD8YjmD06RMRhIsHhZ4LrVOFLLRxbdAc3r7epLarc1Q0Be4nWZajgRlCL/3z0XNof8JkeJoVmouvQVWyKY9rnlA6x+PPng6/Wwj88LmzN4bKgwma69DhR+HJxx/Hrn2lKM5OY6oI5Wp3bF+CNi0K8cnyDTi+Syu4QiG4KRcjFMEdxw3Ehe9+h7v6dkNSsld8N4kRUc1WpwPnxQqwqHI3TvDmINfl5Qg6eWVDtsvltAHtZLkCUhT4QCyIA9EgJvpy8V5dKXxSudKOm/VIoOhfoDoURqpPU6yXzycctYp22hQqCBmOatFxCJG9U8eciFPHnIR9paV46ZXXsHDBAowbNw4TJ01GIClZ5G9LkK1Tx0VakLjP9PEo4PP5EQ7W84KifmuwroaBqAm0o0JMjegrBnjXc8ZsDBN7RE+LXFkW/waUqBXY1vvbcCgZhqFcfPhzVKTAVNI18pqdLvTp2x99+wnxEnqdSm4RwCbhMopY6ywFi1GiGWJxxlSTUXb8W/XHDX+M+CU6aOEMSI1Oy1EcS0EU9V5BFVcl9pQRJTznprFj/GqZSpGelioeB+uQRDl2MpoYCdYz0CYhDn3T1k18zU43nSmN7NSGU0WOHaYyHuFgL7HDwTRxFjqjWyqh+PdvuPjWB5GWkmKLYpt15w/s2YN9e/egT6+eQqGagJrMA1MloMjxZA4AcZI1wTCSPYLeaHawst+EN5u/g73iko6tOT+oXxWFnc/Z54LX74bb58Jje3bg+Ob5aJeXAU+SF27SRCBlVWp+H+odDrz+09/48L6rjb2E9hB22CoA4nDim2+/w8ijjrI6rDQQYDy2bJgNj76E87gJh9XBIv/RnJOmEa3rZMRTxY3ojXoewOIXX0ByUgBnnX6aBViLiLZGFZcAm+uNh4L4fdV6FGWlIzclgGhtjUYXp0i2pIzXC5C9obQcO6pqMC2nEKUVtXzeNaEw6t0SZJOBRg4ZolbbKePaumHfVg0j2R5JauAggNLkHjcnscyz18tsCSOUbRdaK5jZKJzrxh824OHyez2oC0rNEQm2q+uDSAn4GrGsdcNbv/Bq0gigHVeey6IuTsEPDVzbc7IV2ObX3HEgW1V0oXznhxc+gvLDhzF58mRcPGs25w6ruUDXzeroi3f+6XZDfC+ZE6yxrSCuq/jNjTta9D3HqpGj08jtKVyJ7MLETkzToW2a/LZlz3K/U+dOnEZVU1dnyX+m8eGnHGWXCwW52aiuD6GS7CCvRzJKVMTRLIerOoXG5LRObfDNjr247p/1mNemBKkBWU7VFWHDTQl/Hung/bshkG2ozmtjsCG6oa2H6P/27UpEpaK6WosDvLZGlP6yg1ilccH573q1SkNfxsEBC3aSG8EyuzvG7py00r9FJFsXRrOCcFUBRKeIc5/YHH7aF2qAu3GQLd8et84Zfgt7N6plxja3rrvuekyfNhXvvf0WXMxmEWBU5GwLCjmXVPb4eX8msE179OmjBmPL3lI88v3fuGRYT03iT7GKnXztnW4HxnoK0Kk8BY/v3o6RSZno5U2BNyx0NVgTyyirasUFej132rejrhg+PHQQt7ftgJhXpJLQPsDfxd/nQH04wiw76oMQaUhxjWx9gtonpdlNSUnJnGbiJ6Bt2LEafdwYSk0zOhsvkqodytOwZ+tm/Pndl036m4ZOgXJv+DMZ1AjXkp+MmKCgm6iFnL1zJFzmIkEHDx69dhYee+szrN62m/OuybhR+dds6Mi8axG19uHVb5fi7lc/xmt3XIk8igxZQDYZSBSJEJHtR596HjNnzoTXTzWg5WYto8IEuH/+9kt88uarvGnoImgmHUijiifIw/FnisiU5dAMRTXxGu7LGLxpmSyKpm9EJsC25gZZ6OSxGHIKm+Pnrz/jPC/9eeFQIEDuwJy5c3HvwwsR5b6kfgoAvgDmnz8Jj77/DWqIFktiIUkBeJL9yM5Kw/wRvXHb8jVwJbvhTfbAl+yF3+9mOmmhx4vZKUX4KlSGTbEa+EkMyekwJo1l8hBFhHIyHEBAjg8qMPFuXSkmJjfjxStEfSDro4t12REvJqcdvMGwMIb5/oTbqdqfeQIe2aByULRfUiSFQIRQ0aWWl5WBuZdejPffWoKMtDRMnHA27r37LlSUH5LCGALAGDmqyuMpvXf0HM2FUH296cWj3x6s56ivAi1GhFCLFIrPFPmvHnmr58LyBqDqK+sAW88NatSC18e1vlDLcSeLeZmlTXSxPr2ZFDrVfH4/0jMyWYjQLKtnM1xsfxe3XqLpTV12K93Y6sU27mu2gGUs6XRauo62ayCug8O4XqKZFGqlwM2RYLdT0K45x9mFAD32OJGm6pVGQqziTcA64HYhHKpn4R56Hz9Pf8dNfA7dp+f059V3BGzN/BunmKPyvU2pD0nnSJF2RR8/vGcH3l5wG4478xzkFxSK3yd/uyEKI/vm0QUPYM4VV4ja2TE5j3TaMdefdrDxyAIq8urVh8PcT3QB6PcRdViJI1JTpc6U446vgwPGmuNzUaPf6+Dz9xLQDrjx7uEDyE3xY0xJcwbZDLSTfHBRzWy/ANqPf/k7Lj71GHiTUpjxw7Rxl4hok1KrSkH6+LPPcMKJJ5kGmwEaJHtBF8y0g4mGZl8CKvwRDz2arTcDcx0ZZOsGj1ivgM8//QTffvMNbpw/T4tiKwE0sS4a97mUlwTb4RDuffUjzBk3QkSyORc7FEcXJ6GzUF0IC9duxEXFLRGpj8BFKJoMajLMJMhm8TM2BAXQVmW9DBqvcgYqPGGAbBvYtvWNpdFnsHO1Kf1tjRIb0eI48Sd7rqoONByNAO2Q5XPIZvJ7KaKT8CrLeaFXWLEpgitALeteE8UY6lbZUkZqBFFJ6XWhbcNjnoA1j31No8B4XjA8VqxZh3NmzMSCRx/D7Msux+KXX8HoE07k7zZ0cBT12qYxQ+w7I//ZELeLT9sT1V/E+4266eqx9rz6zPgmNHhUSmB8s52jCmJY9iMrsFZgW4FonsMae8niW7PZ/WK+29cGc82gcq101JNugTbm2Gam9DMpVEcK5C9/v0xoS2iNyrW6qWyrXzS33wO33w1PwI2jWxRgdud2uHnjBmwO1/FzHr8bXq+Lm8tOSWxw4WkIZOtzwfY3DQ9/o6No7pIzfuvWrcIlIT+KItxkR+iaP5byl3IdU/uy2qvVHu3R9mafvRl7dYLn2bls7vHCZtNtMg2IayU4BTDXgx3WbhEAO4GORiJ7xG6zJLxv3XMUW1a6/5CZnY0xJ5+M5xcvNtYGYx7zXKY1QFYm8gXg8CfBEUiGM5CMuWePwf6aerxFZbVSk+BNoxaALz0AX5of/nQffGk++FO96JCdhjvatMeeWBDPVu3m6FuK28kt2e3kKkMBlwMB2qPVnq3hBerPj6vLcEJGDpJ9Hi4fSUeQxgKvYwLY10fCrA3Dr0Uoou2Sv9l0IDS045JoYm2NcOwa/a45PdQ+2dSj6RFteT7JaemoPFxufc04XenJaMBg0A3c4uLm2LlzF1o1L2JvLkXxKKJNXl4H51oT0A7yokELBhUZpzD+szddgek3PoARPTvh/LFHI83vRSwqwJc6z2WbtmPBW5+jdWEeXrvzP3D7k8Tg8EqgLUG2MpBWrv0HP//2O165Yq6gncmFVy2+dPvxm6/i3Gvv0PKxbTk3FrBtbvCq3zqNn5WwX3Xl0Ua1bgA06z4U3tRMuVhrytZx4FrbEJzmbV1tLf746XsMGzmKDVD+HZQrKoF2r779sXDBw9i+Zx9a5eews8IRDSApLQPzzz0L1y3+EA/NOIVzskWuXRQ9WhXg+AOH8MiGzbi0pI3I/VGbSSSGbKcDs13FeK5yD/ZFgxjmzhBqzBoFWEVIRN4k4JVX889wJfp7U5Hr8vACSQaU11AYj3fVmVQ78XpZXT26ZqVpuWhGr5t8IWNQyu1QSNc3fhAgkJ9jlJNTnlnyezlpwXVhwhmn4uwzTsNnX36N886diS5du+LSS2cjOyfHIIuJXG0zF5pBp8/PwJoWFOU9I+BNQJs2AzLamFLO0joib4bLU0RFtDROGC2BB93u8VWG5xGjnppapUEpl0u4zOCR9YDFfRXd1qPlRndpxq/oxkaiebZL9S/hRiOf2fAnmbHhxK8pg53HMJGtiGlggFPhR+frxPlHMURoc5Vz1DSmjEEr/rXlf/mTA/x8sKaSQTbPE3K81NcjKeBncCwM6iP/Zn2zjusPi/NOrCdNAdrs5HETFduJ3f+sxruP34MLb7rPANfkTOBbZXjIyP/hQwexa8cO9OvbB85IvYiCMjhTUdAIU68pd5qZTpoFyp5qKlfjcHAt7Q2VVejkSxJec5eoeUrUMqK70Y8hEEbrn+EYoQ3bQ+ctQLY74MYrB/egClFc1a0zvCleeJJ9DLLp1pPkhyvJjw2lh7Fs627MO28CnD4/YOwnZvoRRe4OlVdgy9ataFNSYs5tjRba8PZuvR62Zyz3TbKp+X7zumphi7iLn/gpnb5oN+IsYkIANqxfh6eefgqvv/ySYD0o0TMtoi3AtgmuOZodDuK7pSvQNj8beSkBRGpqtXJeAnQzZZyfi+CLHXvRMzUNWQ43QkQLlLK0FeEwgs6oCaylxBhHs205sHTYjSKdJq9+U6Je1juqaRFtGyNNhZmMh1IMjYGKzM+Wta8FO0+uKopSbrmWMfgYaGuAn6J6DLRFNYKEh9U7qO2FGuDXxc6kmrhJFddp4gqcC4eSNf9ap42L/Gyat7ffdQ927tqN2++4E4VFxXHUa7sIpLKddEeUfKjtY/Grdhx4beDy/DdrpNor1I04Rw1My8eGzWc4xTTWSiPfpQd2zd9jjiUDYEt7j57v1KkTv0YCcrxzsjPHhfp6imj7hc3s9uCUEf1xyrUPYFy/zihMDfA+ZIlkG842Te/G4UCH3Azc1bcHB1EGZWTghExR31mA1aZ0pOlAstLFbfXSZbPWTG/g0DzjaWlpXHXE2IdZ46meA3MiR1uqhmvzh6tHSKec+jxmF5JuihQXbuhCKfvFuK852a1rpLKltPQ8bQ2yg2bzF5sPGgTMjXQNE1xiTX8/d6Me2Zbza8bMmTjj9NMxdOhQdChpw+uCYCMS2BaD2eEWI51/j2SekV1zzwVn4bz7n0WSz4MTO7YU194lm9vJzVC+d7twvqclVh8qxxMH9qDEE8Axvkwkw2U4stR1pd/BwTjZloeqsTFUi4lFRXB5KeVLwNiqSJRrxavqIPUhqogiqeORCDtVDOaqslyNyW299h6PlzUAVADKEEOTOh9yGjb5aHJEW51GYas2OO6MyeYFMjGKYXDrhrG5SGifEwOKiouwa9cuYwMgQF1XL0sCyPIo9VSjVUa02bvq9iAvLxcfLLgZHdu2xKRbHsHVT76Bh9/+Eo++9w3ueu0TjJn3AJZ8vxTXzDgTN108BW6OPARE9IEoD4Z4DdHGvdh/6DDmzrsOCx95hMslCc+nCbK5Hmc4gmEnjENyRpbwpMZF1nRwY+ZOq4kbrqvFisV3NK2jdYe0/RqQgijlaFvoRGYEPY5GLqnkQg0zhmEnjceav/80o9mGV1b+5hgwZ+6VuPuBBSLaT1FtSSEfMbAfkpNT8NmqTXAlJXFU253s53ZG745IDvjw5u49bKRS81FL9sAfcCPN58YFqQUocHvxXP1u7IjVceTMT5ElW2Rbeazo2Bapw8hAhhGB5Yg2T6IGus5iIDqwhxSJ0zUBOsPQ0PpUdyHzE0cG2hzNTtBUVFt/TEbn8aOOwtuvv4LRI4/CBeefjztuuxWVHOGOUSaMEdEW0T7wXAgG66Q3VETlCHjTXDCipIYXVnpRZaTb4kHV6jia0XM9J95UcDSavt8lYNdwF9k8o7rRpIxcQQGygQwjl9wajbYKzMQ3+3viIoH/RbNYT/oca3BSah5NY6zFe8tZzdQQ2JLXSNKdTK+5GeVVHnF7U1HoZCmO99Erz4uIMwmOuZw8Hog6Lj5DeeLN5kvQjO+zeetND76I9KpzUPOwsYNyst2xMH778HW0bFuCqx5+lg1q09Nv/m4WHJPj8PWXFmPK1Ckymm2NhCrhrKWrNyDJJ5lO2hylKCY5ssgwPKp5Pr7fdwBOl1ALp/qwJF7m9ojmoSiMUkH3upltQ2sSrU2+VC/qAy7ctnMzMpP9uKZfV/hSA/CkiObl2yS4k5NQ73Ljqpc+wYIrpsNJjlvOzxb7CXn6ldI4tQcWLMRll10eJ4pkrtPWvcOMXNlSIhqw+0ywYVVYb4iW2tTDHk1RdeHN58B0zblz5+LRBQ9zn5pRbK2cl1QZV1Fs1UhM877XP8HcccP5NQWoRWkYRR0XZWKonNXb23fhlNxmQnmcNEDk0vxF3SGLujg5YMlQtio7W8GYMph0p64e9bI8ThAbpn33yB1oAxMasFXgwk6pNYTI4sCwlbVFjwlQ81zQNjAW+WHlcLt3xFa+1FASl9/JY1VGr42ItlIUNyPbcYJnFpCtRbwMtX3x+h9//Y1TTj+LNTmeevoZFBQWx6W0GSWxtOiwsq0sz+slS/XXVLRbRZs1jZr/tiWKels/3x7FNkG3yWi07SM6qyROAdsOzo7sNKXPbtlS1LF+8tkXjNx3uh4iou037GW3z4+HZk3CZc+8x8DbSZFsimBzKowXroAe1abHlCoj2Dy5GUm4Z0APHIyGce/2zYh4HXAHPDwMjjwXxNi1silsIDueJibjdHbQLTrXkJQkoJ2aikOHylF2sNRg5gWljaT3rcvOyNFqXRusM8U0k+lP9mY6jc19VLHTeD9XUXH1mYq5qOVnG/pvxvV2aNdb0xKxrz0JotaJGr+m+/iaAAItDiHJRiRg/ehjj+Hyy69AZVWNkfYh5r+c35I9TBiBsZU/Cc5ACjwpaXjyimn4cu1WPPnzSnjSkuFLT5EtiZs/IwB/hp9bINOPHvnZuKtdR3RJT8MTVbvxbn0pyt0RFnmlFvAK1h3tNWE38EFdGT6vKcM1LdsyA4P2ep9fAO3X/9lqUsddkjouQThVLxGlDpt2mBWsEjmiFQus6VHtJke01eH1+fHtB2/h7IsuN6+WHuXScxx0y1arcEK3zZs3x/YdOzB40ADDaCVQqEA2eedIjZiS2GkBd7A3ReRDUlbi2KOH4uThA7F8/SYcrqxkcTKv24Orpp3JZQ6MGo9MJ7eCa7h8TBmvjwDnXXI57r77bmTm5HIOsVpcGWRHolzH+KuPP0DnvrrSuBlF1tXFrRFusxHd25eW/a/62YyUmsehzSsRLS5BWl6hNklkdNiIcptCHCqSrQB3Vl4BTpwwDdXV1fCkppjlwEhciSLcDqBLj56orKrGpq07UVKch1jUJ4CjL4xbLp2OUy67Ed1bTkI+UVqjFNkW+T5zRvTG1R//hO/LyzA8I0sMSK5jKXMlIzEcHUhHb28y3qk5iB/rytHJlYQu7hRk0vWVA3hrpBYf1pXy7z3al2GWRuAcS7Noc/xCYjdsgD1VtShIFTk7+tuE9194h+OjqEeeOgyiDZ+eWtVUDizXxUCM6k/GTCOHck1HDBmIYUMG4atvv8fUqVNwzDHH4IILLoTbKzYHAUalCiyJ2KmItlSdjYRDvJjrNE8llkbjXy26xE6wjENtfqp5aCwYcbmYVqpSHEiNA7pyrhvq4+LTlTfSKNpoOZSfWWosKA9hA/2trxvmnf8STdg/q4HH9sMITqmFV5aIMl6kf9jVqcqAKYV5cY04QqxdFzNEb/3VRokuaRAozYCRx5/INGnlCKGoBM0LMgISLBXmadmeaLSPZc64YsvQWDvScWjnFiy+53oce/o5yEhNNZw/QmhMT3MQn8eiMLEYvvnqS1wxexazMrikly2nl8D20jUbEPB5ENFEe+gX0OdzWQ1ar3Iy8OCfq4Xd73Yw2DadZ0LwkddpKofnlhFvt5OpkJvCdXhi6zZc2rkdehXlwJNMkWy/aCnUkhhww+/HpU++g2smjUVBYQEcFD33BUREm/cTs6zXrn37sXbdetxw8y0STGhNj2rbqKC6I7opjI2EEW9ee+R1toa4/9WhG37K+FOG6zVXX425V1yGwvw8KVhnBdm6w4SvIwloyvbWN7/gqK4lyPR7WGmcwTbVXVVlvSTYJuD9yfY9GJGVDXeYDOgIwqEoG0509HCnmECb83qF885wamhdoi/RyojVI9kKXBt/okpn2TpYpbs13nHqPXLNS7iwyYxRJeXAJ0Tj22GLatvC4TICzil8/JJ43UNpJOQEsFxrG8tKRbD1/bGB8l2qHGpcXWxLVFvoEFjEzySbI+pw4uFHHsXSpX9h8eKXkJGVZa4phrNUd8gmjmrHBWjsudk2R4plSf2/HLKEY6OBVe2cLJHtBJF282PEeBBbhNXqiI+AJv5yPe6WkprCtyefeILmSHGJ8UHXVtm90QjatizG+OF9cd/73+OqcSOkboA8K6k6T4CYqimIcSGj2zIaeVG3dvhp1wHM37geV7Rqg0J/fJUQ+6FU8BOW9DK8SP8y0qQ6XQqQduvSGU8//QyuvmYe9x3hBSpn59T3Y6L6Gb2m7oseFpVhzL2vsbFjTKcGqMQNRa5NgGzarI2tyk15T0Pn92+jrGqZUoEMoTcDTvmiPr1i7lw89cTj4lrGhBI552tTrrbU3BFsHBOYUuLfE3Om4YHXP8GVb32Nu8ePZPYZ771uIcjHVTyo2oRP3Lpqwxjuz8WgzAysPFyJLw+VYk+wHiXeAFKdLiQ5XNgVqcfOcBAnZuTgrOIiBtdun/gseMRYO6ZVodzjxXhWctl0amQvcHmvJnqhmRWh1gLVx3JJtztB/qdAmymS8hzXL19qXiTN2NY98aYRYZY24Wd5AwLadeiAD997D8DpfNplZYeQnZ1t8b76OModFJ5V49OkcJhcWHp26SCjkBoVyvDSuk1DSOVjS/Gz+ihw7iWX4bzzzkfHLl3NSLaMZqtWW1+P9195DtePOA51EZsImoU2bo1cGMqSRBbzeJDfY9iRO1lb/IyHDV1JiZp0B4cJsu00ckjxsxj+/OFbROprcNqkaVbBNH4/beQOzL3qKtzz0AI8+eA9Rk4GGU6BtHQ8fNWFmP3g03j96mlwJUUYQKvSO7cfNwiz3vsWWT4fuqYkS9tPgi6yi8NRZEWcmOzKQ000ipX1Vfg4WIpaWaqNjmYuL85PLsDcis0odvuMCCwN/FSnG1UU/dLxrT4VbBFtysvwSeqI3r+W+7IDheADvbUJBlVYiqHp368ZMqzW6CCDU5U4MaMIBLiPHTkco44agdfffgennnoqZs26hJVXVV8dKjuInJwc9og6orTpxdhLTXRhBt/yvK0Tnr5DqpEbZUZsxotesjUu50T3tstNoRFgJka2NreVQSmND1W+TLo0JP1GW6z4XESf66C7ka9rlOb9/41DnTvfl/8IQK0MF9EB3KdcosVUkDUBll2h3XqYObLiWgTDQgW/pB3VVZfeb8qnyspC1eFykUpgnKB2rvFPGeeb6DCMXb4vrh3RwY905Obk4PK7HkN2bo7IS2NAbQLrRErjv//8IwYPHizOXeVkK5Cm1Vv+efla1NYHkZOaJPOqROfTxk1sJyGw4kSfZln4an8pRmZmw+mJ8qamHEkqD437ljd7J6ocETy1bweqohHcO6gXcjOS4U7ywEO52Ay0SYOCGDsBRL0+XPrM+zhpSG8cNagPnP5kkZ/GImhib+H8NZebHbOzL5+LG268kR1mVqEkW/6mjXqqi9ApESUTfCeIklkvq7qKxiPDtNTmpeXWGA/aOpAoWqIZkatWruS99pijRxp59PH52SqqbSqME6AO1dfhmY++w5KrpgpgbYloW29JBO2TXXtxe0kHRGvovVEuH1kj5dtznB7hCKfSlVTGES7eQ3QAl2BKaPPKKupm32KVOKl+UGm3Ix4GNdH2xcZjeQG4WgQJJ4oXySErIkdqYdQifJphWFZRhez0VMuFpPxsztu2TH5rdNykiWvAWwPPFoVxjlAr4OxMCLJNVXEZ3Zav0Z5z+Zy5aFtSgmeff4HfYx3nAmybgQgTfFsAtuWxXPf1lAs76LawPP5vh7K8GtyK7Mwu2x6rn5Pyh+hg24R9sXjnqp0t1ch5EkWcjg7t25l2r9OJrIx0HKqoEjavR4hKOqJRTD5hBGY98Bze+HUVzhrUxZzh9lKptCaTM59TcJzsYKII4dDmeWidmow7lq/FZfv2oMOROpLGhQT9DYJsFfDQDbdGvcGmNDjhhd69euGnX37G3j27kVdQwDZSsK5OihvKAIABttU3iUohfGo8v+LHkuNfge3GgbX+XsvnNHI0GSwnGm9N/DvD1uL7Yi3RFbSHDh+ODRvW4+LZl2Hhgw9wZSLzOyQOMxCI/H4SL5UO3ysnjsHHP/2JSU+9h7vPOAYt0lKYJcMgm5sbIW8ILl8QLl8I7towPD4X+vo96JWZjrr6ELbW1qIqEkFVOIx23hR0SU3lsUiipQqsE9gOSdXWttnpTEvnPG2nE5lJARyqIbFABw7X1CItya8FxfSxFj/uaG0yRDJ1u09dX8O2bdrFanIsXc8BalZUzDQNa2TJXAzFidqiYBbDAejapRtWrlzJ9wkAHiwrQ3ZOtqFgSQs3TRxW2TQoSpromRQ8o7xrovA5KC+FDCCfpIl7A4Iq7vEjZjQyjvyorA/hnHMvwsljx2LU6OMQjlH+L5UwE5FsJX5Btyv++hPDTzyVN16D1pRAtMMqgGalEVXs3oa0lp2sOTu2HBnzvritP3wQWz9/EcHDpcaTxUNORmbb7tpg0L9HVx3XRajMSDudf/9RJ+DHzz+W565E36yUrg4dO6Omthabd+yUNBGRi0g0kY7t2+GMY4fhrre/ZhEEd1KSEflJSk/G/ScNxbMbtmBdXQ28qV54Uz3wpXjgTfHAF3DD73NxrmmGx41BSem4KLUIc9Ka4wrZppDsP230JP5iCHeJjSjN6cZh5b3X6HUOO9VOU6MXNRtNj36iiWFeiaZFgRxRooYHpSEZ5FJofF/RxcNCLI1LpPF99Zj+jnJRQ3AiggnjT8Wbr76E3377FTOmT8OB/fvYeKV67bnZ2YY6M0UBaS5QDpKiPemvWejkGqVcNUVj1kW6mCmgajtqfayMUEEd1XKq4xxotnFuN5jsxlJj7zGMlsSN6m7fd+9d2Lt3L/5/ccSDD3MTNRwUmnq+Kuuhi9Gx6IpGHbc3k8YtotSKAh6TKsOUj81UdPpcF5CVnY3yslIBYHWKuhIXVKWrtKbnOVmbVOG2jCFhbx/pyGuWi2bNcrlmvUlLtwrD6GIw1Ja8+jKLBBrRT0NlXNynFJnde/ch4PWgrLIaWRRV5pqcYqT43G6u3y0MQidmdi3BO9t3oRIRcyP3ueH2U/61h0UaKZ0lmuzC2xUHcPu2TTi+dRHuHt4Xec3S4c0gWlsyvNTSUuBNS4Y7NRkhrw/nL3oHJw/riwknjWJ6HEWziTZOaTXksDXAtsONu+5/CONOGYeOnbs0CLITqRTbo2I6+LbW3QUO7N2Lpx++j2/thlaiwzJXbWPagrQTjHk2wrXnHnvsMcyeNcsov6by81RZNlGaTSrHazWzCWy/8tkPOGVQd04TElHsCGt96PTxaCjKtPHVpeVoS+lJPCRE2UhiltVKoE00cUOwNAYEHE7UIGzJkU04f1UUO1HkSQFx9T5bo5zCIx8agDCajU5uJHXaaePKIWsFHeoxjYODFZUCaGv7XCKBNB2wWHOxVcQyHmQLESEJsglQK5BtpPJZc7B1kM2RVDjYKO8/YABmXTrbOOc4mrhmk1gZH/Z0NitD0HivpHHT83v37sFjD9yDvXv2WD6/sdZQelJisc4EzWAO6ikfCcabuswaRVjRh9W+ba+7rJ63iGNpxrzpUCXFbeGApZJoxjVyupCTlYkDhw4LoWCm9pJ97ONShAsum4of1mzB898ug4Mo1j4h8EhNVVeg5uFbv3hMopABEoX0oDgrFQ8M7Im8nMwjTwWtAkNjINsyXhsCLTacQSLKhBdycrJx1x23Y87cOewApNz0+vo6U/3bUt9a2UqmQKa9Jd4bdZtK22ON+7qwrRS1ld9jiEdaBNC0NJUGWkP/xfWPhg/37d2Lh+67h28Tdl8CpohBGbekNZlzcfrMczFy5NGYMn0mautDIj1EYjDzVgbiCGuxQFoynEkpcCal4sThA/DorEm4/p1v8fJf6+FJVftrCu+1Ptp3M5Lhz0iCP9OklFNLzUxCl7xM9M/LxsiCZuiRmwkPO8PdrKniVhFtnwsREn6RYpECaAvnUHZKAAeranl8bS89jFb5FMi1TCxtzbZ2aigcEtVvrF2tzW8zQPU/BdomKSqGGdfcanoa7RdRX4AsxrQmbkGlY8i7QcridUGUlR/iyZNji2iTqi6V+NLzgIwFRNbDNsA25czJZoBsb4ABNoNtmW98sLIGZ089D+dfeCHGnHIawnDKkiBKAE1ToYxEkdksH6NOmyBqciZQxrQqKGsAQfv9m796nelY9lxXfYVWghTqcu759QNU7fwHu3/5wFhs96/4AZW7N9mujC4som0StlxtBaxdHh+mXjGfqRRCOEaCbEk1598I4OKLL8G8G24RCqIMtKk/hTNj8inHY1dZJb7fsB2u5CQRAZI5jZlZaVhw8nA8uW4TNtTXcK62N5maB74kN3w+N6skC4Vjh6EqaKiPkyEm3UdJEhiq0gjpLhcqKAJmAdhWg0I9VVYXRI4sVq+/1qi3lD2mTZgSUuhHAGgdTEs1cjYubY/VLSuUK2M0xKVZbr3uWlxx6SzMnDEdryxeLOZCbramSA6eC1RuQPWHngtk5hppIFuLIurRRFYjd9k3eWukx6Qvx/sddGeR1ZlmA9KJIhNx70kEuOPb4heew8rly/Hi8882+r5EgOJ/cVA9xXVr1ySmjFmo95oCudzg1fVRkV6r8rjedOBtPhcJCuVLKqOkX8+sLALaZZbr26BRkAB0W5r+dwq4y/F1pEOpmeu53yKvzUoZVykgtdVVKD9UhtYtW8jcbBHRFgJaQmSR5sUbn3+PEwZ043UsOyVJ1nyV3+lxoy4cMTZUKs81u0d73Lf2H9Q6YyJHm7zdpKKb5EaVJ4YXD+zG9f+sR1FmMh4/uj8GtimAL90vcsdIIZVBtmhkEBwIhjHhoVcwY8zROPXY4QJkB5I5H03sKyZtnNbIX//8C5u3bsVZEyYZ0WyVX2oB15oqv119X63jdjCuR7rfee1FrF+9Au+8+oLV/kx02ENsCcB2XOQ6QWCJbvfv24uKw4dRXFSI1avXaHVIJdhmr64e0Y4YQmi0br3y1a+YMqIvO1EUVVxEtiOIqMbgO4q3t+3CmNw8AcQZaMcQicRQIytCUJBKqE8LQOaHEzWsIquJkDYGtjXaeKIovjNRI0BzpMNetoiFz2xAVy9vJHOmjVsDcGsgRILtQ5XVPBdyMmREWwFtn5dZH42CbC1X2wKy1XerCLYW2bbUwlYUc5mvaaeTE1380svnYMiQoZg4aZJ1HGs1pvX60ibItoFuZbdY3iOaPYf7jZdewJpVK/DGS89bc7kbaCbbD/+3JsdXdU0NNqxdE7e3ifGm6k5ba9OL6iJWgCfAta4TYM0FVeNXP2qprBeVja2o4OCUYs4R0C4tPwzQeFU2MtvHBJ6T8OicaVi9cz8e++xXuEjzhfO1VW62ANgk/ChAti8ObAeSvWjbvODIc4HHkuZkSgSyEx2NbjnE/ojhkMILWVno3KkjBg0ciKefehqBgB+1tbWaordZdlOvyWzkZ0v7yWNpiffIOOe1xa4SZSTVXm+Ce82JouWLH6klIKAYXdMQ8H7lxeexesVyvPzCcw30nI01YtP1MB2+cn5Ip9Sp40/HtOnTMWXGTFTX1ceDbZmOWxOOimpQBLRpr5Rgu1Wr5lhyw0UgK2bmix9hP+mrEMg2GuVtq9xtBbZ98EmVcl+a0HyiQJ0n2QNPgJoC28KhHpRol9LMlNgarW1ZyQGUVdeyQ3Pb/kNolZ9rMnz0/kvg6AlRGWPSvtDrm+sMhsZdQ/890KbBogzsZT9+g8+XvGReQG0/1z30FiPcZjDQ7dBhw/DV11+jtPQg/312rugIlYBPwPvAwYNmOQq9vIS8yCraqm4FsFb1TZXCuGhllbWYcu6FuPGmmzB42AiOZCuxCwbZNtr4o3fdhDkTx2LjutUWIQ8DyNqaJVhtywXgzcy+/Se6SvLqFQ48CckFbVA4aIxxkfev+BGB9GxzEbb9qd7PVkq71VPlT03DR2+8rAmlmQIfanN79LHH8fMvv+L9Tz7XSqeR90p4sB648gLc/fonCDvdcPr9cPECLRbnrMwULBwzDAtXb8RBRxQeBbaTRFSbataSceyTQkVCmdg09qsZ6gMZLo9cq0XkNd1FEe2wQXcSt6p2rrhVE2lrRRVak+K4jGZblMobAxD0O49wsCgdMTpCqgXNW4pwE8iWtyrarYNtiogLoTQTfPfq1hnvLXkNv//xO39HZno657arTYIougdLS01vuL5pGHUctfJeMoItNgMzkm0V6NC8qAb1STkrrH70d199EVPHjcb6NSuNua6cPHZnmhiL5rtsvae9bqf+JT4mTZ6Kjp06Y/I505qMsv8rsK19hv5xV142Czdffy1++/nHeNqYRhkza2aaG6vp4W7Ic07XSIt2a4CX2uGDQq+gWW6uMT/oM3Jzc1gIhiLPcZ73RkC31aiQzQa2lVHRFDG0JBJnk+XJCGSzsIz6TdrniAg/8M6S1zF+/OmCxhezgzMzEvrV78vRtUUhf0e2imhLsJ2TEkBpda0Q7yN6o9uFHnnZOLZFPm5fsw7zVq/BG/t246FtW3DV2rV4aOsW9C3IwRNHD8DJnVohwOA6YJQg4dtUAbDdKcnYVx/G+Y+/iYcvm4JRQ/qy+Jmgi4u95Zkl72PYuIlYvvYfNjx27tmHG2+9DXffcy+T6gxQoRyXcRHsBFFte4nIOKNIjOixZ05C2/adMPasyQlF0OIcWf/a+WSNnqnbzz//HKedegrXPr56/nX48aefGWg7LIDbbDFiJkjA/dWfK3Fi3y481ki9WzWuXsHUcvlcJIq6+jAO1NWh2OMzADbl6BNAKueUHSBAyrTSIUx9R49ruRhk4l+jQI612UTRjtC8qsxeo11HK3YiS9kGuBNEsk1ArNLiNJDscKD0cCV/RU5GuuWzczPTsL+8wvKcUI+OL6ekgLUBsjVgrTcF2gy6uEUQyQR11J594SV06todScnJmDRpsnWMW8o9aka8Mf4bdjqZega2Eqaa4Nm4sybzXBh31jmGSK0o82W2ROzDhoMlVkDOr9nFZbV285Wzcd8t1+HPX35M6PRSM8nOfhIA3GwmANNVrOPnoDpojdl/YD/f37e/VF5jce0oynugrNwofUs2mx6QcgWScP+l56AqGMElT72DatIQ8fnhkjacHtm2gm2qvkDNy2yfIx6qnnpcWTtrJJtTNPQoY0OHtoiVHhB7Iv1WWuwuvfgi/PLLzzhUVoYDBw6I9Dm1/zptEW0t4qxHo81ghXSM25o9YJGovbb4BYwZfTTWrV75r4B1HMBOyKKL7x49CHv25Cno0KkzJpwztdHLogc3RHqrFZvZ5yLNl6NGHYNLLpmFsyZOxu59B3hN0Mv6UXrpBfNuw1V3PYIf/l4LkIYJCaRRmlUgBe6UNFxx1km46ZwxuPSlT/DLjv0iup0qgDbtv+Ts5lJg3JLgTw9wo9JgBLi9KT7GEAS2iaXGEW0qSedzG/sCpZg5JHWc7AJ6XFpVw527fOtudGpVpK2ByrmZYHw6TAV7M+Bt8XaYbIImhrSbDLRJ7VaN9U69+mP10t/MK2cvXWKhwDVcL/S08adjyZI3UHqwTHRUdo7lh+flNcNeWkjUhTVUL2WtRo62CvU7BaYF2BYUcfUcvb5t9z6cPWU6rr/+enTr0dPiAWXvuKUeY5Tbr998gaxmeTi4fx+DcV3wzK6eGRfN1vqux9T58iKZEVdFy0twjXkhprrbbU+agUBmM5HvGqpHVtvuSMrKMz2dOvUhbjppeVByQqnzTM9php+//MTI4bZTGum5IUOHIT8/H7/9+ZdWQ086OdxepGZkYNrJx+DJT39mFgFRk1w+Wqj9cCf5kZmZituO7Y8b/lyJajfYIyXK5ggqJ9dm9LlZFdgjS+1QI2XAClmnMcvjseQPpbvdqJCUUR1c2x/TxPrnUAXa5WRYot5NORx+ITLS6EH9GaxFtL4OsaBsoXrR1P2wCbzjot1GNFyjk0fDHAGcfNYZ/BV33H479u/bY0RI8/PzmFquq2YqIKdqBouNRKsdbI9cWzysYvMx1TBtgNs2tLZu+ocZKAf27bONssQMDfUwMQj4dzC4oLAQV117HfILpQjgkZrFqdc40Ej0mv3x4KHD2IPeolVrfqyDa4uKrC60ZFDITdBtKJHqXnW14ZOYi2XDF7dlpcKgKsjP07zwDnZCUi6/hfptj07bQXdCoN0INU7mPjV2pJKSt4pgS/VzTlPg87caMtQ/H33wHk49ZZwhgmZSxk2Qtv9AGTJTk3G4qtoA2koHgtaz3JQkHKiq1RRGXXB5XDiuTREeGNoHtw3sjg456ZjWuQ0eHdEXD4zoh2ElhfAzoA5wM1XFKRdbKItTGszOyjqc9+gSPDZ3Btq1bQ0nU8WJISX2EaLKrd+0HW63B3sOHER1XRDnX3IpHn54AdLSMw2AbVcoNqNqWp52IoBhi4wZY1KO59z8Qpw35xq+jTOWpLP1/3pYDHw51v/44w/079cXw4cN5rnQumVzbZIpsB2VDhEtqh2N4JPfluPEvh0llTyCqGpGxDqKaCTG7bf9peiXkYFohFTGzfrI1HflsqxissNt2Wspol0rlQ9Ux1nmp0Yb152X8XO24ZZM0ZAjHeSIjgMVuqK4Hq22KoFbqOQG2DbB+MHDVfwVOelpFksvLysT+8rKzRJNOsCOA9laJFtRxvWa2gaoNiu/mPV0JdhW7+GyXk52xldWVmLkyJFadQkrHdVixGsBAR1M66/HAXObKrmKiOfkFfBcIJFXstdCkYZqYMe0QErUCsJtNblNCrumX9MADb33oKE8FwpbtNLYFHG1AMR4lJNJB00miDKdP+br5nvVRNT3qn1yH166bJnGPHCzztFBBtpKHVoEo0zWZ4Adh/Onn45Jo4fgrHsX468d+0WwRAfbCmDbQXeyH96cfzsX7ONeZEvz+GpyXFB5wGMoLROBOYre0x5C/fb0k0+w82HHjh28zgi7yerwVoDb2JcSOKUFoFbvMZsdlOuq5apt+mcDPG43Duzba7Wz9Aovdpq4anqkNIHJqq/FDdlIV86bz7dN7EmNeaJViLExSNT9wUOH455772U6+ZoNG+Mi2yOGDOLx37pNayPN1OEPwBkgRXJqyejUrg2WXHcBXv9jDRZ8uxRIEoKjBLQ97PSW6VsEvrkFREvzw5tKYNsr6eNCFZ8At8vvQVlI7At5Gakyok1igC5kpyahrKoWoWgUdaEw0kk3yihRaK5jaq0TTVyFqsoqpKQSe8hGGbe0pgUj/pUYGkUslFZwUmoahh0/zmrYSoEBcWEEdU6v9WzJJ5bR8bz8Ai4KTpODjhyewGIy0ucV5OUzPaeytg6pSX6xyLCas9jQLYPH4pGlTpQ5RC43VqxZh6vmXYdHHn0UzVu2FvldqqSVpFSbJR3MhXneg08z3SY1twD1ZAzE5dlZVcbN3DrtvGIxbPrsJbQ/9WLL+dL1NCUFjGctE8oA1LEYDqz8EW1HnWl6v9S7G8DZdtChTyCPy4PmbdsjGAwxuBPXS1wr9XsmT5uOqVPOwamnjGWRNDct3BHhJSUPKRlQE04chZMvvQETjurLAmguaViRUUytpCAH14/og3nf/8VlIpKcot6nEN0gA0MsiGRg8d/I4nmH68IG0CbxMOU5Snd7ZETbDrDj26ayCoxs38JCo0tcf9t6ED30SAdXsK4XIgvGBmKhA2r0PFJrJAcFR39EnW4evzTGWTRNGKh83xnFQQmsbrnxOsyYPh333Xc/OnXpgoL8fFaLr62uhj85WVxIJVXO3y9CCEpTR2mA0NnF0d5YY8dUCzdHX8Nj6tJ5N+Hg/r2iFqocW3JoyrFs/pka0eKx/kr8OG0y9+a/OFSUQc2ppkCQOOcBgMlTp2PS1GnieUUNlFOXb6TTTEX1+X3yCbFmSTaQfiSIWCgDS49qHJSRi4I8AtpmFJ0i3MRwIIBOkV372nH48GHs3LEDO3fu4BzG/fv3s3FGz1dXVQmlYooOBgJITk5G6zZt0KVLF3Tp2g3FzcW84bqTRziSvC5eK5Vho/LUVYqDzr5Y+tsv6Nu3HwJ+H5zkiJJzQVHHKQpKEe2Pf/wdJ/TvLiiQtC+k+LWIdgx5qUmoCYVRQ+U7OKItVVGlHZfhd2F4qqA3Urkvov2Ksl8euHxao3I2tG5xqRs/Vuw+iOsWf4RFV5+LVi2aw8k5Z6QuLllSkiZ3+43XYlfpIRQ1b4lzL74UV1wxB21K2psOW409ZBgsUTOSZwXZarzZUy3iR2uDziKp9s/iPkpk8L+cWIlANh07d+5E8+JizJw6BTMnT5Aq8VR2TduPLSBb3I9Gwti65wDa5GYiXFPLANuIZhOY5lt6jtb/KL7eewDTCosRo2i2AbTFbbmkjifDCSFHKZoR0WYlevOXW4CMBqj1Uj965LCxIymvieAiJCi95qEuMH2RPeRJ1SXkLRt9Kn3JLCsj1MmjKCWBKxIfzEy1bGEFORmorq1HVW09UpICCaOGeh1jK+A2FcQV2NaBtCU/2zBQTUAejkSxZ+9evPfe++jZu49pmEu7Jy4NQnveAKb2VMOELA09jcLG9jACPIkFA/W1VfcIG2wkbT3nkaN9AIuLNnK5T5kwhRsdrPbdwGF8ts1Jq7NHLMwoi5K1bSbL36iANn1tZXUt28c0D0lE9UDZIdaMYIKF1hHKeUNjgGzj4f16oWvblrhi4WKubT/3lJGybKKp3Gw6M8Vz1LxZOTjiQUEvYy6YdpchfGZclH+zTokZf1AyYHOys7gD6DpRgOaSCy/EtJnnYvz48Vi4YCGat2ypOTekhpRN8d1+NMQiaOjNBmsBwG233c56MkXFxWawy376NhtDicFajRTThuCn5XuEraH9zX9xJBqmphkmxrtVm8cUvW3brgOefe55nH/eubjx+uvQv08v1Q2YMfUczJx8tqlXpDNoHGLNIGG9FKcLi+ZMw0uf/4izH1uC2888Bh1zM+D0uBHxuhEJyjKPdGtoeZCDVmIEElyzOdgPshgk0CwjRez1rDfhRE5aMkorq/Hrhu0Y2Km1lqZjBduCQa2tm6SRJUvFqWvTUOn4pthI/L6mXiCqZSYGqnicW1SMbf+sR+v2HeUiJwSozAVQAmyLB0VcNIERxHsmTpqM1157hTfDzKxMObiExZRXkM/fRSVTOrShjuJ6N0KB1v7L9bwhLQJeWVOL/1wzH4sXL0Z6VrYwguKoe3b6EPDtJx8gLTcPrVuVcN1WI2qtBqslV1Uzi+wRQQdQsfMfhOuq4SIqhVxIxeBW+n3mIf7Oqj65/Zs3WJo+zgumqaaa0TVTmdj8QPNQ1+f082YjHAkjGvPayoSZoIwimIMHD8HvS5dhUO/uoni9Kv/hDrOYxuyzx+D5z3/B3FNGsLp6jOT7Q25EQx7OwetclIuL+3XB42s34qpuHUXgQ0UdFBCkaEbYgRgZGojhUCyCNKcLXk2AhiYJRbTDiKEWMaQlAtgGbc6BnZXVKKZ8NmM8NTa61QoYg7MpEW3qh6AGtJXXVqPccV1Sel/UJUSDmGojbw0QHmU5dgW+qV9KmfrkwMA+vfDS889gyozzcc/dd3NEk479e3ejdUk7E2RbwDap2QpVTXKa8BRh4C1Qt1LdlMUZEkbALEa62gkI/DldyC8s0vrLhq5tx/8ZP2unZXFcHeG9DX75v9iZjI3QvjHaxB7jDl6QNYtOG3Zq3bR6qaUTSHveov4ur3d2dg7nH+mbYU5OFucRbdm4AVs2b8byFSuwfv06HJbgNCMjHcXFzdG8uAiFBQXo3qUzmjXLQUZaOpIpeut281mSem1FZSU2bd6ClatW4fNPP8WWrVvRsWNH3HLLLaISRCMHRbNriTlhqyeuBGBUXhypTD9w79144vHH4eTxblWp5jrFsn35+994+OIJePubX7gvMsjJGgwZYzUvTTjD9lbXonVKMmIsCCScdwy6VW/S+TDQdvFGzkDbAra9cJIYkM+P8mAU8xd/iNduuhSZ2dlS60MBbJWCRBFtD1wuL5q3aInHn3keHTt2woiRR7PjVo+82Z2vcaDCZnAZYyuRIWSbAAmHMi8DAmyrdZz9L2yIypHTBK1H87Otb3TTesYeNXOt5HVFbYLqC2zPkcZKBuXYWyLeomOE40Q8FkZUDGX1QTRzexGi661ou/L3lMfCDLJV6RV1ENCm10MOwKvtnYZAoUx9M5qm6k+Pm3Ik5zc78ptIHM++nxuGgB1wS80B5Zwl5XHqUyqho94bNcF2aXmFsJHS0mTOq3hPfrYQpiLHT4eWSQ2DbIMqKYxLnUKpR3XUXibuW6mVRukxmd73wccfYvRxx6FX796WIIMOppVtFA+ydZBsBc6W+SJfM0UBtbq/Wl16NXf0eaU2KIs9ZoxuWQkjgVPJeKwXkzBdmQmu7xEObR81EZMEf9pnNgV2qv7dvXsPsnNycO555+L2u+/FXbfehFjMzaxQ2hcqauuRzirLuoEoWBNcPlfaIFk5OXj+ukvw1te/YPwdz+DqM47FsA4tESXbi8vqKiquCxG673bBnZl1xJ9M5cX08qdxtbF1kG3cl+9L+KtN7zWlmvJcSE+XTBq2UAwbadaFFzJzNRgKYsyYk3HSSSchNS0tvmJewhM3nR+NvZnWprq6Og5+RMJhpKamIikpCS2KKaKcoPSc4WhQdr+t8qlleTCRQSLbJ3YEO6XBc27gffaACc0nXpZkuU81V+i13Lw8LH7pJUyeNAkLH3oQbVu1EHanBtjVbzT6MmZ+kcInU04YjmN7d8JFj7yKC4/pj6PateAx5vSEEPWE4fSaGh50KwJxYo8Q9r5Yw2hv319Tj6wkP/x+L+/3Do+bAXdOWgrrbL3w7VLcMGWsVfxRE3oUZ62xK7jUNAXBtACJFlgRzi/xm//nEW2ijhsXjLznLje+eOsVnHfNzZIGoiLb2sJo7L1iY1RlY0RdWbHRHX/iibhu/jxkZmbyZ/LGK0snlbQt4e/7Z9NWdCgpEaXBYrQpKTkK80fGi3dQHpcDF86ajfnzr0Vmdo40hvQ8ZitdQgwy8fzPX3+Gc664LqEYRkP1Eo2LwGWWaOoLifj2J01H9Z6tyGjdVay1WkSxocuk8spITKb+0D50OWN2HCvNNMo1RUMtvctCcdVPFMBnbyxGz34D0WfAQKvhZ9n4HDh29Gh8/uknGNS3J/crl/+Q4nQEuI8Z1AcPvPwu5px2tBjgIYoe6S2MQS3z8eaaTdhYXYO2/gDTAvUOZOqgi4xxIWizK1yPYqKjc4F5uVm6HMj0ivzpilgY6U5vgki2qAEpFi9Zs7cptHHjB8c4p+SIB20ilJONBoA2nXfE1BVggO0ieixRbQhcm1FuaMYVTV6KUmZnZcLtiCE3MwMvPrsI50w/F1dddTV/9eZNG1HSrr046QbANtdklbVljY2L66nL99E8NOpqWY1WtZEbkSA1p5XzzDaOEo7dRh5Znmuy0Z/gcWNeXe0F5QVu7GwS/al1U7JGXRo8N61z7N9jRjGsjxuMZsv+37TxH5S0K2HASkfpgf348osv8MYbb/DjW2++GUOHDuYa7RfOnIZMppaKkzG+zri+qtNIqIrK5DkQcAOBzDTk9e2JwX17sTFNQ2Tt+g1cu/1IB+krcG13Tek1kSjcvffchcmTJ6OQAIu95rKWnx0K1nOEJjPZj9LDVchKSWJgROCVUzZiMbTOTufv3lJWgTbpqWJzpXnvIsBG+4DJXjGANjUFtL1uOAlk+7xwkbKox4M5T76G2889HZmZGabQJtMuRVM0OUWV+/Pvlfju+x/x/IsvSrq4nQZrpk6ZoENfao7s+dHfYjWuEsS75VwWkTWx95AoG/umpYdcGFJWJ5teok8YhI14z/6Lo6Y+iIDXa/td4jqK66lRiSOizKMA3pqwqrzdFw0ix0lg1jzo/Um05sbAUW2fiOuboo5GNQBbzqQBvq3929CiEmhSRNsTh7zUuhAHuEXVWvkjaA13mUYqs/7kWyTYPihLe7HKtGGVAyXNBVX0nx170KFVsRVk2x3Bipaui1QZUetENF8th1YzQtXjV159FU88/oQWRLGOc6ajajTyhCDbFsW2zKGEpcF0MK7W5UTrs+a5sgFlk7otLoy5Fos/Fg4lbY0WE0MCY+uaLdgkR5gvxvvEh9I+quJg+nDRbfr4w4Av3P7ZsAElJSUYfdzxePfdd/HLH0sxqG9vZDeTDvnyCqQR9VXSksW1s7MalBieG6ePHoZj+nfHTc8swavfLcUtk05EdiAgcl7dLgbeDrmOutMycMSD1sp/A7Ib7ELdQSHuc4WirEy4ePLKxdcRQ0mbVvwXoXAQLz73NMrLD+ODjz7GrEsuYZE0GkMZmRlITk5BwO/niCXbjPIiRGj/CYWY6VlXV4uamlrU1dYy6DLWLO0g8TX6LLfbhaqqKlRX13DwilgFw4YNxzGjRqGgqMjibBdnLIIgXFbL7n8z/QmJeyOBXWI+bvxvjnToYJu7VZqTdOglSVNS0/HY44/jwgsuwOsvL0a6zNkXjE3pgKW9WH1oTNWmt17kgvxmeOXqGbj8ySX4a8tuXDF6INxuJ6LSoRPzUMAujKjHbThi6dYUNxbO9c3lFWiTI6Li3KRjPSdTUL+r60NoW1wgqipY9ChsApRHwAoGK0Z7D9k2/9uItgLasuNbtOuEPTu2GlRwsZfrXkpVR1QuiBxJM9lRCpATnaBrt274/rvvDY8pL0NOoLCwEKmpKVi3cRPGnHCc8Ufktzd/sJyoMmdIB9s333wbjjl2NAYNGWap12jSkKxRBv35rNxmyMjOQZ2KZmvlhxoa1Ra6jwTb9DinfU/UVVdj1St3o9OZV8ApvX0KcCf+LAcOrv+DRbe6nnlZXP6soWpp5NeaubZGZNsm1qSPI28ggNraGjMAofWPsYnBgV69++DOO+7Q6GUyWhsVwnQujxfDenXB96s2YUSnFnKgy8EuB7zTE8GVg3vg6i9+w8JhfeAmY1j7naQ2S4byxvoafFh6AFuCdWhPYgpuAoHijKmuYwZR1gloU06zLZItDAjRdlTWoGVGivaDm+wrbhLQdlB0K1hvePmUAaM2sZgC2dxXEmSTY8Ity+LQJsSLkQDaloi2BNr8PqYKZuD5pxdhyoxzmeL7z/p1OOHEE2VtSGXBWcG2ANnmam0aAmKuMs00Adi2RwU4WcR4zaxz3aR12+bkSej0aeKRCFSYwCPBTiOvudEDscSgu8HvawRkWwBPIx1hB9X6c45GanAqcLByxd94/tlnsWb1avTs0QNL3ngd777zDnw+L048/nhcMXsWvvzqK1x+6UUY0Ke37BQKpxKNSm52Rmclui/PhM/JKtZEAKRLhxL4Uo88Fyj1hPOvtXr3OuimjejXn37Evr17cNP18zWlcVXjVYJsqTj+5+oN6NO+FW+oJABFeVZmDrC4AHlpSUjxebDx4GEcU9IcTtBaJIGb4fEWCyJ7yaWRyABbRrYZZEuw/einP6Nvhzbo07l9PMim8iVSDJI1QZweVoCef8NNWPzyy+x0NIUm46mypgq2lRLb1MPuXNKfs19KZSnpYFsBaT29w+Klt3x4U2emBZo3+oNqg0FmYxh/qYX0ReDbvG6ldfXI8kiGlQG2gS3hOnxRewi7I/UodPjivoMi2nTUy1XPZHehwTxJHpua8rix/jXQBYEm5GhzZRF7iFNa0BbAbelq5aTVN2HhLOB4ggTbpeWytJfwnBifUZibhdSkANaRUvuw/laQrdlGVhpnojxuUxnaUteYn7dSK+n1zVu2MNMmIzPL5kiyAm59PiQC2Rbh3LjUvHiAbX9efae+b9mfMy6rpIIru4if4ufitUl0kC2YR7Sm6iBdsRIVAGz4UPPNhLwxROU6b0E3BhBLPAzprStX/o2Xn38Wq1evRu/evfla3HnnXZg0cSLeXvKaTL8EDpZXoG2rVsJGUbn7UTkOyD6hyJ4s6RYjLRmXC5nZbjx0xQz8vmo9Zjz8Cs4Y1guThvYU4EcBbmINpQhHZ1NytJsOsnUbzbRXVNDAjPzGcIBtpCwB7ASq4PcW5jVjvLB+3TqMOf44ZKSn4ZyJZ+OciROkgyPG4Lu6phr1dfWoqw8iIu0uPmWXG16Pm8s6BQJJXFKTUqtcHPDRL4Txj+0Qv2Xf/gP4/ocfceONN6L88GGcdtqpOOPMswwWmRHJtvHAjxhx/y9AdoI/b/B5bQsxQDKNUyO9Qu0nDqCouDluvPEmXDRrNha/8CzX2Va7jTo/fQw7jPVD7ytKQ3bgidmT8PxnP2HqonewcNpJyEjywRF0iRQjAtuUXsRsKLEnqGPVnlK89OcarNt/CD2b51kCfDRWc2i9JC2wYb3N0oWSoREnSqmdV2NOcHNNEI2Yxv9bMTTO0dbWeIcD1zz8LELBoGlIWKiV9gXUXAD1RZZVQ5OS4A/48dbb78iJKUGzy4UO7dph7fp/MPasczDlwksNQTT9lkC1TnWi+xs3bcb2HTtwzpQpGni0RqRVU+chNtsYK86NO+c863xqhLJn1tXVcmu0Omu0mfuSkpHfczj+euJqVO3aKBRz7WqoWm3FrV+8hH1Lv0KzLv2tNY5ZgdtUUTSi2LqKtFaL0aSS67L0DnTpPQDNW7eNW9HVtRQPHHC53PB43JyPpa6NRVDA5cbE40dgyfd/ysEsBrk1qu1CQUYKTihpjve37Zb5ktSccHqcnGdBz31WfhDlkRB2BuvQMhBgGqhq5LnKlAbbYQarpDis8r3Fb1age1VpObrkZ2viME3E2nTuJHx0pIPKxdXXsRhalMXQavkx0cktAmlGqzdbSG9KmVyW/IqGUXrwIHJJ5IPVyMVz+TlZePKRhbzgE/A647RTccG50+W1brgmrO5pl758y3U2jBOdoqeDAj2CoBswTQYM/xZS/5dHAjquOtO4lvBJ0/A3cUB8qULjk4/0QXYQ1BDI1pgpav4KsBrDy4tfZPE7Mhp++fln1FVX4anHH8FLzz6FiWecis7t2/LnkVCjUWKOhffq4Qg30EINvVbHtzAeB+Gkz2pCqTtRpz1evVUIvzmwY9sW3Hv3nbjnrrvglHRxBbItImgMtqP48vflGNm7E6MMiuJRnpV+Hegg3YaSnAz8U1qOaW98gcs+/EGLWrtF83jgYlAtHpu3Ho5sU3N4vfh7+z78tmE7Zp95gtCekBUrVE62DrBFc+Ga627AdTfcgPTMbE3oLAFDKq7aRvx8U4+1oRyfr20IfzU8vvTPsnxG3ONG5ob+OQ1ueP/u8LhcCIUj5oqUyNMmvycYiXLOvR0gfV9fjspoGPujQTQjx4f2GjWik9NR54iY0WrZ9Gi23gzWhVZXu6HmCfjhI7XvJkW07dFiZWBKEShVVcUCZs2oil5bW6d9E9DOzSTFcauaOFEgO7QswrqtOzF27u2YeuNDWlkvVa+7gSi3EelUHWoHQ+aipSCqWsA+/ewLjBs71n4JLWPcQifXx5dljVX7jCbGainjZc3VV/n6ph6C0NixVowRKvW6yJmuvUPiSCHLc6JOeyKl8nDcd+lVWhKU4Gus2UQLTdq85uSOm5/WufraS4tZWXvjPxvQrkMH/oz0jExcM28eJk2ZDl9A2C9KedwQrKKxSakNNH/0aj0eUbLVaP4k9O/RBe/fcxUqgxGcfs8LWLOvHE5/AC4CnampLKZ2xIO+U41xY6zbxr0dZOuA3BhU4pfraSoHD5Yhl/OzRVlBhyoxiBg6tCvB2nXrMW78mZyvzftNTJSQpJSlrPRUNC/IR0nrlujaqT16dO6Inl06cevaoR3at2mNVsVFyMvO5Lx3YhYqxzCL1rKdFjKfM5r5Pfm52Thj/Kl45qkn8MKzz3C0+4zTT+cqIfFBB5uTJ8GR0LaxgezGxp3+vsYO/bPMJ80HUVvr278/hg0fjkcff1IyilXKrilWbakQ5RE13VmUz6fGnZ/H1owTh2PeWaMx7Ym38dHKLUZ9d6PsnFHr3Wu015f/g4M19dh0oBwdCnNEOhjt7aTt5PHgxR+W8XlnpKUKBimlQmipmyI4a2P8OMCpCVlZTUiP+BcRbee/jWjrGziJIz1+27VWZfFEC6mxmJqLi04BIqoGKVy/8sor+Hv5CqO8F7UOHTpgzdp1KDt0CDt37RFqdwa41mo8alQY6rC7770PV199tQamzQVNpyeZzVw0t2/ZhHdffOqIg9MCbDSwrYuu6OC3oPsQ9DxnHrb/8C7KNy1Hfdk+VqfmPZFqzO7bjo0fPo1D6/9E8wHHo+eUa+H1BSyGuKFkrHK2NSVpK8hW962gWz0u3bMTOXn5xoRPdCjlzMKCQuzavVczFKSxINVLWzcvws7SQwiR95Ep5SK3x4hsS8A9vksbfLZtN8LOmADQBLg9Cmw7MbV5c3RKTUUoFkOrQJLMuRSAmm4pB4+OCP0WKdbhVICbH4tJs3J/GXrk50gvvhb11jzZCa9nU/Kz6X2+gADWshng2nKrA2qpRG6AbvEYGthWiuTkuKqtrRMgW9YUpoW8dYsijmx++dWXKCsrw65du6RRaTp0TPBmDkzrz1W+Rm0D1+aEYdDbQIIeOYgH2P8Da/x/fRinZIURdqMlcbMBbG2vMe8f6XMaANu2+2x+2+p9CkorcPxxx7FTJRwO467bbsHMKRORQWWuJKiurxblfkJ1tTaQLUvLsShJY+Da2kyQLT5DhNOOfOilUIyaolIA7a03XsXcyy/DE489ivSUJAvIVsaJWQ5KiGctXbsR/dq1YsMpFIqgTgqdWDvOgZLcTGw4cAiHauuxp7LGXGcYcAvnnoVKxmuR2wLE6yIxXPfih3j4snPg9EojgMrhuHWQLZyHqn3+9besRjpg4CBT8CxB5QYr0NCjfIlBtvmKVMc4AAEAAElEQVSc3bmTYKxZQLjtcdwebKsIEmeUxc9pOzgSz/138zwrNRmHqmoSgL34yZDs8bDAnd3iPDUpB63dARZAy3N4LXsuzRvaD1RPmaA5cTRb5Whb2Rda1YAErUlCaDKibXd1xlETDcCtQEcCYG7YMSbYDobDXC9b5SbqEemOrYuxevMOlB2uxE6u0qJ/bgKAExddsvwK870Nvg789vvv6D9ggHWMyH+s40e3sxLbifp80QGsXnpUVx1XwDchKI6YquIMvrVmB9zi/Q2AbyWUa6tIY5YJ0+e9BpobGR9NAdvx81MPVMVw6Zyr0LNPHwSDQZS0F0CbVuqhw4bjmmuu5lRJOoKUhifXLAY85CRUlXoIcNvBNqlEa4Dbk5SC2WePxWNXzsQD732H61//AnXEHcr8F3PBwopoBGxLQ8UuzmrpOANsRxEMhUQdcflYCDIKJ27Hdu2wZs1atpF27tylVbMIxzeZriQCHY0163uUrSaqxuifae5nYm+LIiU5gAvOnYlbb74JkydNxuaNGxOAantAxDqfGhxPevf8j4+4OSy/0OI8BnDueefj559/warV6yQWkyWYFeBWZcDcGthm9Xu9Bfi2V8cSvH3d+Vi5az/Offo97K+tN+q8E8hm8VIFwP0+XHnSEPRtW4RgJIKOzZtxGphyot/34Y/MUKCDqhEoTGJWWzBF2gxtCnll/tlI6ZntLH1sP/5Nfva/jGi74jbw7LxClO3fiyABC22VsS6kSjreqrZqGACIYczJY/H3smWYM2cu5s27FmvWrTci1P369cPK1Wuw5LVX8P5bSzRvhPRMKEVMLZr91TffIDklBe07dpSEB/uirj2Wr+miaPt370JOQVGTonZWD5UJdPTosw54k3Py0XPy1chp15Op4StfvANrX38A0foabPv2LeR1GYhmnfoiJTtPqPjqf6+i2QbYtpUMkAxmVxzINsXT1Pl99ubLXKJG5afEHepaxoBWrVth6/Zttg1cDFLyEJHwxVF9uuH7VRsFNcNNz2nGrgTcPp8HZ3Zugzc27RAA2wa2c5L9KCTlVACd00iqXypdytvPy0oRcDrRPzuTo9iiSQVCaS3R7ebyKrTNSY+roS1+asOTo0n52QzIkzmSHa2XkWzVdLCtg2oNXBsgWwJxAjis0igX7VNHj8DSFauwdu1aA2Sr2/Fjx7A3d+aM6ZyXpZeoMcG2zTvqSLzRq6iRDgBMmqvmGDOMgMQU6v9/PBoyVizRwQZbQ9EXK/AxvidBs77LeuhebHNumlFtlyOGlxa/iMUvvogr51zOfzOoX2+xsVM9dgmiX3r1daT8f6j7Cnipqu7tZ2ZuJ1zi0l2X7m6V7gZFAQUEQVFURAVFQdqgpAwkpBSlJKRBGunu7rp9p77f7r3PzCV88X3/39HNmTkzd+bMOTvWs9aznhUejhdqVWHgW4Ls9AB0iv/IdjpA3E7v/OM3vUyZiGbfunENr3V/BVcvX8aSXxYjb+6c0hCy+Rgl6nFqSgq9FiTvm1zs5lVKYN/ZKzh++aZmTbAxXj5PNhy7cRc/vtQIc19uIunhgkEj99oxEuGm1HHu8f54zkq826kJshDxM+ptZ/VmQSPbgjouItkBeJCQhPFfT8DHQ4ZK4TP/EW3NoWw4m/8hyPaJjGljUvznU3vbdIpbQbXV6eQDkCzd11+O4pNswUGBSHWSShFaxIovmkZ6hQ2ICHQgkRiu8k6z4xnsgcjMcz7zOEKsUBZHvQkgUoH5bWGKFs73VIzPp6la93LtfESZr7AnEUKjg4GJ8vlEqv0Bbr+RbWuZLwW2W9WvQZ1QR89dlilK5H2kVS5RFIdOX8Cv4z/Csq8/UZ8nP8sCagzqrmXT1wtr/ov2Gffv36e6OvK99J9HOSCtOdym80m3v1j5LLPGtRXoChCsg2Jr8/c3Lj+A3Ixuq4i4Naoto9sUZKuouxJp8xU79O8k8w+2DfaYn6g2mZEzZc2KnLlIVQhQpXeZsgKgQqUqtGoEEbHNm68ABzp8/qLgmoEdVg6Xs3e46KMOsknEmkW3Q6mY5qyh/VGvQil0GDsLuy7desKxEPgEAJt3LJ0xYWx6SFaB7VZNGmDv/oM4dvw4F1hkoBZeNyqVL4NDR4/hl7nfY9n82WYk2qcJwKw/1pvlPSSSLYE3a/LztXQoHWxTPSmvB6VLlcTMGdPx5ptvYt/evfo0aOytvga/zhvtgBEEeIxN8iSb37/xszYI5y058S+//gbvDRpEHYESbAvArdXahgDaWjSb9jfteWhkJBUue6/d83j/59V4Z+5qnL0XzwA3iWrTPWs5YjMiTyyLPFcqkpemgV15mIR3Z69EUpoLUeFhiAgNxvNVSgNE24KAbSqIpqXBGuW9WBDxzJmzKFiw0GOuG2H7PjF8fhoxNDJp0yvLJwpyUl607dmflugKIheL89eVB12U+eJNE1XSlccbNmlK830IeJjx/fcY+PYA1KpZE3379qFeUyJQcObcBVSvVkUaIEKYQnYEPoDjExIxdtyXWPzLL349/mIxgMXQ0bdcBQohS+585mU1AKtWB48AWg8HuUT1ld4s/lttXrqY09wLuufXg+e+5qvVEvlqKfpVmRcHGlFJQ4HYEDwTYkMm3dxfswJu0tzOVDoZU7EwTjE2acc6nQyIiIhEYlKyZYE2QXfjGhXw09K1eK4kmeCZ9L4oHM+AMsnvcaBp0Tx45beN6FAoL62fbbXojiQmIGdwMGLCgtl95TkZJCV55e2beD5LFoSTHIx0ynolu90IJsa1hTL3JJst/AnogTzy7U5z04ldgnjNKGKeM0JvdzE6fQDJ0+YTMJl0yKJA8rUJ5YmLRwgRiRb1aiBzTAZ8P28Rxn06mPZNcvakv1SpWJ4Kc0yfPh3t27enqgdykqZiR0xEUHTq9JzDIrPJJ+9NGwmyD4j8bD5+5Qlp+Z/y0L+0aT/pmWyPjDqIvcVpyB6rv0wXcxgXwt+VMVM4eIyLNa8Xc+fOxt/79mHujzPx7vsfIH++vMiaMYo7W1ifc7ucmPXzInRs2QSRwQGUGWHUMpaefjb5ef0YLCpqZQEBfPGxeR9f5o5sVFmc1sj24uGDe5jw9dc4dvQIzU8rXbI4MziIUcJzswVTgx6jTiQlhLb9wFFUKVaQlXvyuNGsYnGao/3T5r/xeZt67HpRLQIbKubNThVFz99PQOW8rJQXM1S06gNclZQBcAdsnFZGxM+W7z1Bc/Geq1xW5WVTujinugljQWNQffL5CMqSCguPMGqMGhFsnV6nOZet7K6nAtl6j0pnzVL3lvU3NsbZgkxYLyJvm63KpgAa1VbR1nUhOqSv29myZ8eVq1eRJwepBOLjzlN93xK5ZmCS93sKEPlep0vzuTowwEHZTHRN5fO5cCSedaUgsy0AUfYApPFycmS8kOt82BOP4rYIhJDP4X3SBNTWZka06fXiiYn+rmtELta/Hj8YAlgpLH0eJRdQWND6Y+nIktwWnvzH8rXpnaJqRKy8V8v61ZE5QxR++H0Nxr7Tk38W+54qZYrB6XLhzJXrqF6muI+gmdizh34ouo8krpr3mvSFhMQEquKsbEHTcUt7nx9r3wCO2rhQGgcMZJu15X0j3Va1cQOsw0v1cAgz7Mal8zi4YwvS0lLRtGtPHNy+mZYKyp4nPwqVLqdyLTWw47E6rUV35rmrRNuEjhcudkvuFN1Te5bnE/uJUeqXnA1FPrC0NZZ3QeX4SsdhsWfXLuTJlx8xmbJQkE1/uM0GF6lZ/8cftLzVyDFjUaF8Obzd/w1a25k6Z4iyvY0wRty8Igqfk8ljoStj01SZKVBy0n3DWpVRs2wcVh1hpXifzOmkxGzVBfCNWit1cn8fxC8EvTjshrVo+Dwt7fX9nPkY+9nH6jp7gaoVyzK8cPoMqlepxNaYdDd9wJsjX2mcWN7vs2mCgXReI+9habZ0YxUHaeWAXDlzYN7c2ejyUlcs/X0psw2fdNNsEKsz9FnZRT5fqXVkafrRbmuuIVljY9Gnb1+MHD0Wn30yhAtxsXmQCet6+d8ykTRx0vIaWx2TdgdKFymAnwe/hsNnL2Hiii24cucBiuTIgooFc6Fw9kwICw5CeHAg1h09j2wZIrD68DmsP3yG2v19m9dBhSL5EdfrU3SoW4UqwgumLaOQK4Dt02DDvn170ZcwQ3wurFg/2dD9VyLaZBKJDg70Aa7FylXBuqWLDC+Hih4/IkKk13UOCkaHzp0x/+efab7J3HnzERwcgvbtO2DJb7/TRXjtunVGbjCljQtPhHbRhg77jFJoiNS+4RnUvK38Pvv13JONKN8mJyYYl1caxSr1yRI9FnRt9ZovOFYCQVbwa+ZXK2/7owE0z9OWzW5EuvVaoTpNjlzbD8ZP1UC8Ze3lT8TySiYuUt7FXLg1T7ndjrj8eXDswlUpoS/qLrJos6rFSFRT28flx8IzF2VxeRbRZjXx/rp7F3ddTlx2pvKINwPqe+If4GZaGlpkz65ys/20g7fuo2x2lp9tjZo8to9nZOXkHrdRUB2RCe5UJ9xEUIO0FL7nzZOayhqJfGsRbkoXl4/TVK423wc5gJdaNsacX5chNSnR8JLuP3CA/q5cuXLip1mz6EQlHEB6bfVHmU2072vRLZ3qalLV/HjndW+7z0B69hP+PwHv3v+w+QPZKm6oro/1u57mN+nriqKtevHn2tXYuGEDvhozkuaT/bF6LW7duo2TJ07QPGxGG3fiz/WbcOnqNfTo0ILl+JPINU9FACk7l5YMkDrvqcmyeWlLYvsU9py+Rt5L/sapt1TKUnmi32OzIeHhfYwfOxo9ur2COrVrYvGCn1G6eFFJs5NpEDQiYKHu0frZDFiv2fE3GlQqISMUJF+3c80y+Pmvg0h1kagoT4uw26kQCrmWm05fNoUXOajWI9sOLYpNfteV+0mYvmorPn+tAwXdJHrN8rMZXVxSxUWFBXsAdu79GykpqahVp46lCoWeeqGnJPkDE/8MZItosgks/DfBHtPBv/w7LTJmro2+EQvjdQClSpXCocNH/I9KjT7DHHSa4clZRRToS6ekqhAhmEiCjUQd1VR3w87ANp/bDjgTEO9147Y3zYg2n/cm4yHcKGuPNITOFNi2NK42birkK60Tpn0iFPPZd2QoFffEY8EWFGyJWlsj1zplnL+mU7y1NDidIk4Ukl9q9jzmrNygMQTY6/uPn6PfvWb738Zn+c3H9j1pQ7DKh74r/0x9xsWLl5E3D4uqKseO2nTHpM/6Yelr/kC2oIhb66jLKLeMJqvI9+1bN5Cckowv+nbFlE8G4syxQ4jOmg1xlWqg4nNNEBAciiy58tFree3yBaptMaLPi5j2+SCcO3mcUsf1fGyDPq5RxY3ccR7Zpk04AzTbVowh3UVrjjF/a6y2thqgSs0n69esxp1bt3Dy5AnJrCHf/eeff9J696/3eQOz585Drtx50LJ9J2zbuYdGsxVlnOVqs+fBcs+o5KSkIYly63nb4TTKHZEhIzp06vTEY4F+TjoUcb3534weZTiKg4OC8FK71pi76FekkdQpQR33erD/wGGGF9ZvlAyq9CPWxHntP6qdPoXc0rQcbV/qOHOMi1xyss8QHY3WrVrhp9mz1a9/AkNHd8D4u0r/qd3zODtGaHbo3yduC2lNmjWjZUEPHjki00qp01HQx+0iwq0i3aQfMgYZYZOFqPxtrZUqnB+T+7+IX4f0RvdGNZDqBX7fdwLfb9iL0Uu3YMXeY7ibkIwElxsje7TCj+91R+UShbHu0GlcvnUP3ZvVo2s+tWeIw0nkkgssadXSsNno78iXP79PN7TwMIzyw4/bnjz2DSBjGCmt4fXN1b5xDccO7FUGgSZ4ZnryLfQ2zdDv0vUV3L17BzOmT0NKWhq6vfoq5cmPHTuWRh7WrP2T+YAFTVyrCSna1m1/0Xzv2nXqqSicBdzre3UlzS526dxpOlHrmwI0/kTHNDEzf7RxHVj7Bdx64+/RAbMVZAvPvJ/XA/y816SQA9+P+RTJ8Q9lxFxQqn3IZXyCJHmigcQIldwWHSmwTkro4SHBQUghOXY8B0I2DrIp8A5woGmRvNh5/TaupCRzeicD20nw4HpKCsIcAXh9/wEcToynrz3wuLDw2lUUCg9H8QyRhpHGGuTjvdfvoGLOrJI2/jRI2/GEQFuAcgKuXSnOdEA2z91OTWVN0sg5hZwCbgaulTAao5G/2rYx7tx7gG9nzaMLCZnkh4/9Cq8PeA/ZYrMiNTkFS5ctg9OZxmscWpyC6ZyzdVL1Z5DLevEG2Ba0UUUhp59nMRL+jc06uf3bm3+Q7QeMWP/O54H/TY4vjbFC7uH5c2cxadIkfPvN1yD6nQ/v38WFS5cQERGGOs3a4a/tO6kBcOvmdXwzYxZKFyuMyiWKaHRxDpIp0OYCfaJpgBsUbCexPX1dpTpAa08kCsi3Zb8tQeWKFbF0yS94oV5dLnrGDRe+Z6BbGSaCdqcbLQdOnUepPNlVzrbXg1dql6cL6cyN+6hYFrm849bswDuL19F62geu3OJ6EKwJeriRo83Vxknz2APw1vRf8FW/lxASHsZzsoVQi6CLK+ob2ZOykJ+PGIVPh7FSliRS7B9sm1FuHWT/00i2QQmXVTz8G0mqlFJ6Y9t0svkF2Ma5qA8vWbIkDh06ZHiKVOknvXP7sp2yZ8qAq/ceyii3XiFCRLPFnE5Sh66mpUpnKlmzkr0e3PY4EWKz45vES7jgTqaGSzI82OV+gKy2IOS0k8JeihrOKOP+c7OtEW1dU8VXndyGjCRK/ISbLZCMGx1YpAO4dbBtvDd9sN2jTWOqJv3tohU0L5F85uczfkbv4ROQPXMM9h0/o0TSdICj09X0e2VEGPWFQ59xtffwz7tw8QLy5M1rGt1aH9KP+W4WvQK9X+siaBzUCqq2YpBwqjQHwCcO7sMX/V7Gwm+/pOP47a9/wBujpiCuck1EZY5F/pLlkLNQHDXscxctiUovtEDlBi0QGZMFAyf+hCav9EFoZBRWL5iFMQN6YN2v82XOthRe08C2TBOhADu9tBH1G614UTzXxz8DLDrANoGVDFxR1tADXL50gaZGtmz0PHZs/4ueA1G6njJ5EkqULIky5SvQvta+U2f88OOP+G3ZCnR+uTv2HT6qwLVoAmQHBsOrgWxQkB1GxdEolZw3e/ST5WjT3hMsxoLqX+kDa59uYrmAAmyzK9G9SzvcuXsP334/m6Wuetz4fNzX6P3OB8gemxX7DhzUnLlOP/nZXIBWgG3uBE4XkPsF6eYaxoA9A9aUwcVF2iTY5iyz7t26YfGiRVQkjV+ZJ7RuLHn84uizQtl+giXye/yBbHk3WN8dNWoUPvpoCB0rDMiqUstemhvNUhlEFQ/KIqOAmgBsBbIZldwUTHOEhqF4wXy0/vawbq0xpncHjOjRGgkpaVQHZNSitbh4N4F+zu3ENEz8fT1KFciNSqWKMec5+T5KYWcMNeEIkPnZfE9SMzNkyMDnZa0v64/5k2CS4vaE21NwF4CYsECcuaNdcE51afria9i4dCHiypABbqHyUJq4MNxZXV5SVohSXeWP8KJw0WJo1qIlhnw4GGNHj0LRosWwe9dOfPLpMCr8MHbMaDRq3AR169ZF586dkTdPbkZN8wB/7/8bP86ahRs3bmL6DCZi5tMMkO3rnZEJ/wAiozPg0rlzhlGsAxoruLYTKhvZc+q4oIvrFHK20GrGFS+GTmvpabdTrGd63rUREfcDpv3ma0vhNE2d3GZDWnISLp05iazZsitPvjT6fXNGyO++euUKmrxQ38/qyacI/odE/fTU1ZsomSOzBrAFhZzVYrS73AgIDMCQWuUwfMvfmFCnIuyE0uQFdt27R43FCZXKYPzRU3jzwEEUj4rCwfsP6Pd8WjKORr2pAaarjkvBMzsO3bqLvjVKmYI70hg0DQ4rBrfHPCFFkBhsmXNSUG0aj8xYpCUwiLMhgJQs8sDm9sBOVDFJI89F0V0rzZd3ymJ5cqBNgzp474uvMXziTMQVLogd+w7g88Hv0qjc8LFf44N338GmjRtR/4UGLEdbxpMYvYrVAjXdScYmF/z0sokt7xW0Nv2x9Q36M41i9I82/c8eeYKc1/cUSN8vK8zyVXKe4Aef1pFgXTzFPGK1eykT2uXCwIHvYuJXXyIkKIAu3uvWb6BpAsvnzMA7Q4ajYaceqFy2JLbt2U8/b9aYIRRYE5q1yHUm4JRQsYnRwXLXFH2c/hotHM9KvmiGPc9RomkPZCEKeTLqONl69+oJV0oSNy64OI08B+HRZ+eo52jTc+ft2JmLKJA9C6Xe0d/BxwRRE21RoRiGLF6PsSu2oWi2TNh97io+alqTzm1jV+1AmseDEKIiTschY5yI+Yc4AG203AdpQfhyyQa0rlURRfLlViBbRLF1ARehAeIIwKzZ89CkaRPEZM7sNxdblbFU4Ng32u3rZFYGy6Nzt9lj0xB/1CZKB1lrajPCMis7qYjLPA1MrEkyLUzRxsmnlClbFpMmTuTEc6tLVqcqW6mANhTNnQ0nrtxCjqJ5JHj0dcKyObxCpgz4++ED5MiQmTpmSa3cw65Eeg4DInNjXuINTE+5itz2YJz3pNDf0DogK10TxRgTUWufaLYf57fVV6BfYzaH2ZCh1FMAbZLzmhxvmThVHo85U5KNlTIl3d04LmjkZA6lGVY2xBXKjzbP18L7X87AiOnzEFcgD3YcPIbh/brRfMHPps1FapoLISE8qq4BfVnuyxJdtJy99jD9efvq1WvImTOn/D1ybwHZ/gC1zpiyKozL8aRFtgWY1ct8kfecP3kM544fRuEyFfH6518jLDKa54zaqaHvD7DKnyUp4zZkyk7sSKB+u5dRvWk7nD20Dw/u38XPX3+BVq/2ozRzRgRmY4NWYRN2Hb17klSrateLb9auoSp7JM5F0MZVyUllr7KDdO4gqR/EhuZRsc2b1tN14ccFv2DYh4PQqXVzlK1QEbt3bKefMXn6TBCNf3KNyblmiMmMESNH48rli5jwzTcYcfEiur3SFY0bvMByTMkY5IwiQimnnc1DyreKqB9pLqlwbwtXefmP22xBYfAkPbQcfJw9YHndGDBqISY2UeumDfH+sJEY8dUkxBUuhB17/8bnH7xDf9fn4ydRRmBIcLAZEVc3wNcToneUx/86bWxxqji/STaydPGyT9QiE/eb594FOOzo0qULlvz6K7q+8oqcHp7WxvDdnsCW8/9L1CPfCYp/cvr0cZEFEZstO1q0bInpM79Hn16vsffIsl/Qfid/LtYSfn3Y+u1g5edIX+M2AnGASNuFirSyfrB+5xE6H/w+YgDenTofTT76BpXiCuKvwyfpOf84pL8mcCoU0HVtLy0/m/MLVq78Ay80aGBe0XTsvyDK8v0XItoxNKKtbqdY/DPFZkfDji/j1vWrmnfSt6ao39e0fLYZs+Zgw9Yd6PV6HwQGBmLq9JkYMPBdtGjVikZVB7wzEFWqVsWYsWNpXbp27TvQ1xYuWow+ffri5/nzERkZ5WvQSCPHkvemg2/tSpYsVxktu75qAZ7CdLbWr7ZEjuVCbqGQa+/3lzctlVKNqLhSD1eiQ4/Kydaj4eqz9Gh3wt076NjrTR59twi/6DaSZkadOXsGBSiVQnddWL3iNhTIGYuz14jqqRnFpuW5BL2T5kzakTcmCtVzx+KXM5ckhfyvm3dQMDIcRWOiMbFyObTIlQPhgQ4MKl4UK+rWQKNc2YxyX7qBRhoxuAl9PphQRLV8erkJgC0GtT7FRMYwI+kJt8BsuRl1nES1KXWcR7bp3smP6ZFuQSXXo9vanke2BYV8/tiPsfe3H9D/lY40d/HHr7/AoH490aR+HSQnJyNn9mxY/MtiurgLx8yjItrWPm41QB41Qfs4q6RB6k/8xuLE+s9Xj0duclTKe/to33B652P8Rg1km+yXpzszX6cVH2PSmcaefztlCpo3bUyV5QVoXrV2HYoXLYwyRQti5Y+T0b19CyrsMfmTgbi0YTE6NajFaOA0Yp0ED6GDp3BquKCHp5DjifDQfZL2OntM/kYeT0nk+yS68DAF5SfbqB6CiFjzqIBQahVRAhnRdpt52V7qIHBh7upN6PJ8Ne4c4I3WUfZi1uttsGXIq+hdrwI1Uqa83ARvN6qKBqUKIdnpwvZzV9h8wLUgmOo4UxanjVLHgvDH/hM4feMOXmpcmwue6Z5uU2Fc5Gffe5iIX379DT16vMqdxpZ1zU/eqA4IhKCTKg1kqhVLRWUh/CRpqOIzzTJCj2qqD+uRQj2ybQH+6VLG+fu1NTMsLBwutwtplLZsFfWyUJQtoJtEFo5cvMZBtuYYlZUj1HxeNVtm7Lp/n60b3Jm6Ly0BuRzBKBAYgrcicqFaYBSNbrcOyoIPQvKiXACjjfuCa/8RagG4mcPWBP7suTrHiPx5EBgd9eSjXqfLpiMGJVLerDWtVXRF10wQEWoW5Z7/5SfYu3g6+r/Ympbd/HHE+xjUswsa166K5JRUbN532KdOtkEhfyzLS/dE+3/HzZs3kSWLimyypcCSmqf8xsbaQPufiIT57ds6LVunaqso8tpf5mHRt1+iaPlqyJQjD0IiolXkWyu/5bJQzQ0FcUER14TUAkPCUKxyTYRGZkDjrr3x88TRuHj6BFW5Vp8jzsl/LrlR39taYcCwnkzhMzxiTOq1xzetXYvCReNQpHgp/LhwCdq/2JWOzS/Gf419x06jRZv2rNyZRcAte87cGDV2HCZPnYoTp86gWet2mDR1Ju4nJJsRbr2RKLdQJie2UXjME6cU+Y4FawpDes3fZlmB+UWaP+1r7Fn7O/r16EptpB++GY0P+r2GJvVqUVXyzdt3+lEbt0SynzaKrUWy9bQ+X8eyWseE85k+Jr3D60Xrli3w+9KlxjB7FBvxPwHZ/jDOI66u0f983pdOZFts3bp3x+o1a3D+4kXFOrYL9XFNhVwvO6cJ89EothDnC9IF09RjoVK+eu9RFM+XE2XiCmP52A/QrWk9RISFYdK7PXFh2Xfo1KS+1F+hNHUuiGZUqJL0ceY0WLduHRo0bGQyBuTvVDYh1aV5ihztp4poZwghAMZCW+AOifu3b2PVzz/gjU9GmQYr95bTyYiKSbBjrCoz+zDhIycfHleyJIqXLClzTsnfFSkWh9x58mDN6tUYO248pYbrhrXREfxEDcxogTnpW6mi7DRs+G7sZ3j1g895zhl7QUSgxILtJmWqiBAaXcRVVJtcE/I6vTasLCgbZ/R6iQgCv3a6B10D9QI86SA+PYAtwLc1v1vR2VnH8LqcOL5/Nxq16WDkgEthNx4JUZF81twuN53I6AxuRR7aGwvmzIZdh47xslrceKKgmAFsr0tEtR1AgBcvlymC3su3oFbOrMgSFIRtN26jaZ7sFEiH2IAPypB6uvqdZV8oqOLWiPb+W3dRPntmhWK0CKJ5kX1nNMdTRLPJFpAlB1xOHqmjdpEw0FReupf8ZhLNDiQTMLt+do+beqTJRGznk7CKnCqXPzm90gXzoExcD15mKIguFMULF0De3Lmwb/9+3Lp5C6kpyQgKi6SRQGtkW/xEI2rtffyEmt5mjGvLPGC8Tznrjf0TfcE/2KR3lI6tR3z8I5wKeuTwce99qnPTxrRijfBxZgNOnjiObdv+wsI5P8qIL3G0rF6/CS+2bkYX9pAAYNKQAfASwOpywUsAKgHMlBbHQKuIbNPIBD3GymXpomg+JyYNf1VGiFC8HBmfbizQSAc5N7oasUi6TptTRojIZWPgWoihudOc2HPsNIa91JTqFnAkyr3Y7HqVzJUVxcnY1u5IsZxZkDsmCmuPnsPzpQrJcn7UmcfnHLKYkwV21+nL+GHtDswb2g926uVm4JvmaGsRbQGwxfMRo8fi/UGDYA8M0oSaFBDWQbVVXNB6PN3Itb4maU5g33UtfWPKYFAQlgTVb+AMMm0ECgEa5mzUhA7TWZv0fZXKVbBz127Url6FOWP8lK0S0VMdfJfInxtzVm/VgJ/dD8hm83lkMDPkk7xuBHFP8L6UBNQOjaZrGKk60SUslgqiEbVoEr0j94LqVTwqoi1o41pEW+aIW6+lNlwyPAVtnG7EaPQBsnq8SkS4RYxTI9PSB/xmiIg22aimFI+52GwoXawQFQvSt+KF8iNvjlis3LoLDUglAvp5evqUlUqeDrCRh9MHPjdv3UJsrFBit0Z8/NT4NZc2o5SqLn6mnEq++dDk725dv4IzRw6hdI16qNm8A71yFABbgK0PI8nf5kcITQiekb6bLV9BSkEnl37Sh/1QsW4D1Gzcyohui7iceY95ZJvP8eJe+5wK/V5zvMlrxf9OsFAoO4WcnNuLzevXokX7jvS6BAQFYdioL5W5w8cCG/uq5KfS4bEhKmMm9BvwNhV7WrliObr36oM8eXKjf5/XaW1pL7FT6BxN9kR0ls3VtLrME5Y/lRsBT6zzPt3f+blX5mfwdYEwbeIKo0yxwurKeTwoXjg/8ubKgZXrNqFBzSoS3Ko1UI+06cee4Dwt8x2dQynNgdTbZva+Gdlm4p02O0mF4lFtmx3h4WGIjY3FubNnkS9/AY6rnlVc2/eJYf9ZhrVfG82v0cZF+8TLfF0Qz+lrdgfGjRuHtwe+h0Xzf6baTjbtHOh7eV9kNhvXk+ClgqkDnqy9pBKPUJPne2ork+dkfLndWLP7ILo0rEOBd0hwKCYM6mOk2jB2HhEjFjnaTORU1/gSTD6xDt67dxcZM8YwkcFHOBUoHnqK7aki2mSRig4JUF44zTjIVbAwbt+4igf37nEvnOah5ExZEdmWeWTCY+fXQ6jnv9nQqFETLFv6O1yEGqnlvZnKr2a0QXy2CQj8W9D6pEsEu65fvsgHkgmwzVxYs2SWAsmE0u5G/PWLPhFrvcyW/xJgKtIthcy4OIvfvG8diGveevq3hPZ95gQF2OT1v9YsQ2pykikAo2FSpXIufrcXZ8+coTR9utAbFGcr6LYhJioSDxKS1cXki7oueqPTBQMCHfigRhkM23EIe2/fxe2UVNTNFctqZ/PINXksS3hxg0wv6UWfc6/9lks3UCtfDkvJMg49hRGY3kB4SnBBKdxbD6LX4nWY9tdBHLx4Hc5kkrOtItnksSuVRbdJLrfYszxulc/tTUvT6m6zutqsOdVeiErBQ2n8vy9biVo1q2Pb1m0+jhHDtpLAW7sc/+EmcrYNQ8rw1pteQMJGIf1IBxn0ZX8GWTpNf98/OmevFyeOHaVpKI/zn9Pt0UEd+ZrRLPOCMH70eUOOb3jpWBw4cCC+GTeal79i4HP7zl24fvMWmtWvSceu18Xz+CkDQuVdi8g1KzOnotM0Uk2i3PQYa27Sks0mIt3iPeJzEPrkETx6HfgY12uMspw1kZfNnAE2LZJNHQa0ObFs8040qFiSLqbMOaDLKMkvkcJasvKDw4FGpQthxf5TNO+KsWYETZx5zskCe/L6PQyfvxo/fNALwaFhzMtt0Mn4AqzTx20OnDp7Dtdv3ECNWrV81jT12JcKq1Nf9dq/JLqUmubEhbNnZOTNFF0Sf2/+rR6p03UU9KYibZYom6aFIgGOx4tTx48gjZRjsToADCe1Xh/YhkaNG2P5ypVcMMvmX8yLN3aP2OMsMRlw82GCSRfX1gHGTGKsJtKa5MqGZbdu0jSh464k3PO4UDk8GoEOO4LsNtpE7fZAolZOdJdELXfuVKZ7mqvNG3dIsyi5Khkpouam01YxpaJLPx3QFiJQZp1sMRn7KXFkeWzkDOpiPboBqeVwS+cFqehRtxp++3MrA1p6frfxWZbZT4Dq9KLceg45fyuhjmeLzeY34uXjsNSAuDWaTSLFl86fsTivdBtORbavXjqPiR8NQPb8hRGdKSsFoTKyLMuACXtTiav5rYGt5VeTMl8XTx9HKlmP9fEkRc686P3Z1zh77BCO7tvpn+pujEOt/Bdnp+i6J9bAj7hSvhVAhONA2cN7d+3ArZs3UPeFxpJirxgxoFoSpqAbf64/JnXD3QQcOtC0RUvMX7QYL7/SnToUX+nZB/sOH2O1tmlU28znxlMCbX/igOm3x32aZg1QpxMBXgIcCwaUyI32oGn9Wvht1Tq6vugMKmpHSbtKa9Tu8vcaPyZYWkSUkzq1+bpG123/0WvZdKCv2dEvdemM2VQUDdJGeiLb5Ek2bfm0uCh8jCvxusfrwYljR6hKv/FRFuev6r8WIVC+buQrUICm974/eLA2pzm0nG2if8LSspRQmohwi9JzvOycaMGmQN+O4+dx/c59NKtXTUXBCeuCCqoRvRUi7sfTwozUMHIOuigaq/lCetTx4ydQsFBhzd60sDO1axL0FKW9yPZ07yZ1/AR9XPdQ8ud9PhmHkIhINfHopRu0moh08uATiS8Vz5+ojBdtO3TA1atXsXnzZoMKp75HeUXF+RiiMenUONQ3vXMXKl5KPmdlG0z1bgNkcyAuwTaAHXMnYuO0z3F+9walUk7L4AgvoynEoijmiipu0M193q9FryVVXaPJ2W34e9MazB3/GeZ9PYK+7/Du7WjYmkSztc+iHlgVyTZAN4AN69fjufr1NY+fBrItV5HUyU5xOo3IhlHHWhpWQpncgUKZM+ClkgXx2Y7DyBEeivLZMmkgW2/KIJKGkaT9sQt8/M4DxGXNyO0G7W4+dubywp7p6YA22Ub0fg2j61ZA4ahwLDt6Fi8tWINJW/fj2t2H/hXJraJpaYRKTsC2LpJGQJVTA1jsMRP1YNHBLm1a4Mq1a8gSE4M1a9ey+2VEs/X+rPL+H5se9ZSbGTUwYhrGBDV6+KcY9HZ/rFqxTH+H/Azzr/+djXz3sI8+wBefDnnqv30kyc1iK6QHslmdXp4ewvdDPv4Y/fr0Ro7YLKr0lceFeb/8hrw5c6B6uRJsgReCeaJOu1QRFzRwjTaugW0KwlNSKMj2UGCtteQkDXCzJoC7PTLTU18jO4l4CIq4Xm+U/iZeD54Lx9CIvKbkOmvFBnRvWF16rvVccha64MwUqYOgWodqpXH1fjy2nb4kKeMMaLNI9tlb9zFg2iLMHPQaoqKjaQRberd5VFvU2NQF0IhBMHzUWHz44YePXKNU7ig3eqXxa6oiC6A8bexwjPnoHWxavcLymgm2JbXVjxCTvyZo5zrQl45nAbb5Orhh1XKMH/YRvhzxiQVgq7VcRgmlwQ8UL1ESh48cZWPVUhLFx3AWlGcujJk1QxRuPEySFSlMkK2EMgkLoX6ubNh5/x6cdi/WP7yH2MAglA6PRKBDgWwDbHPATQA123OQLQE3b2JdpWuJxYlrUNoV2I5+ivxsOSXQSJ6giGsg2x+lXCp9a84LK0CmRqH5nF5Hu9m6NHsBV27exqY9B/0AbFP0x5fKq890/iZA9V6ny4kgmvvqf972HwVS6XvCMP92zHCMGvw2Nq1ZqcCy2AtHlgcUkN+6egWvD/sKWXPnMxxOpiNKKw8mUzb8jxfxN/s2rsairz/H4okjlQibpiJO2RIOBzq+9REKliyPGcM/pGUMrakZukiadJhZy5IJB7WVUq6JKZqBJ3OuWfbLQuTIlRtlK1Yx5wINXLNGQLXuxIOsFU72Tv6cNrcXcSVLYcq06Rj80Uf47sef0PmVHthz6KgC2JxGTsTRnn4shDxiBbUGRPxtClwLkGoCbB2IKDZVl5aNcOX6TWzcsVtTAxcOXm5f0XWVN2lvWRo5Rt/L/0aua24j4uofbAtQrZfdVK16tarYtXMnPB43hn0yFG/2ewPLl3Eb6RFBocdu2qBMb3wa1jvvh6tXLsdnHw/GyGHKRrKCdKt4p+q7Jthu264dLdk8Zeo0FjW20sjtJo3ca9TbJjRyroDP67wzkK3qvc9bvYUyeGpUrqBqcgtQroFt6lAXa7rUHBCAX58XgT9W/YFGTRobv9sayRZb0FMIof0joB0TGqSVyjKj2tGZMmPikHeQnJQkF3mz/qGKOqsJVzMIdEqR5e/KVahEKRYLF8xXkXFNadV4rBkVPkaE5SqKh1Zc1qjDS7QWo1yCfKLWevTKBDOkZc5XBB6XE9GxOc0osREV96M4bn2cnsiZpmAuo9mG+BmQK39Beg5Fy1bE/Ts30W/oKISFh2tlv6znooFtbgJs2rQJdWrVkCIEcpKzGsMEaAcGsRw+MYlqF8SaBydbgAM18mXD9cRk5IoMo1FuGXGQkW2eS2eJbKsohB3Xk5IRGxHK8yY0b73msVe5apZO7X166jjZgnLmRbDHi6pZY/B2+TjMbFQdcRkjMezPXRj8x1+4cechB9dCmVyBb49oMmdbqJCnahM+m/x1VUsyqVcuVwoF8uXFtu07qBdO5GnrYFrvtyKy/Ww2kyHi13ll8QLGFS9FI8m58+TToh7+wfbjotr/dCtYqAg1ECtUquzf4eCHTvWkjnjm3BBOJf8gW4Ft1pb+/hulVTVp8DyP+BLRDzdSk5KweNkqdG7ZiKYWEK86K/+WptTEqaI9j2JzsE33IjqdrEWpOci2RrMpwKYtib9f5Ww/jbKsvF4EtOqlUWTZFAW4jagCAdsuFw6fPIscmTIgKiSIUeFlFEDrGBpTSPc2knmgUuFcyJ81IxbuPEyBGgHXLCc7AKeu30X/bxfiu0E9kT1rFg6web4Wj2qLutlUDVUTQPv74GE6VxYqUsRYm8z62f5E0SzRNBHRpoauB/mLFqfrSpZceYzok6+qsQm4ZYQtnWaAe38MMa3sV+4ChWgEpXT5ikohWdMz0XOzjfQSmx0lSpTAoaPHtDxja2TbfxS2Rski+OvYOd8qFAJ4a07VgCAHWuTOgV9v3sDGe3fxXMZMCApymBFtmxbNJnsR0abg2uY3qk3XRxnR5iXE0isVSR25DkSViPtnQNtybdIF3Jogz6Oem/mEujK5aHZUKVsSBXPnxLzlf/p5rx+wbZTz0hcJK/BWi4oAiulZ4ukZqLpDR/TLgsXYWMiWM7dFWVy95+KZk/hyYE8UKV8VGWKzS5AtAKVvX1fsDqP8lnW88JY5V364nC7kLVHO1FPQgTz/G3IN67TsgC8H9sa927csLBa97JgWjffj+NLBtS+dXgfbasympKRg9bIlaNK6A+0byrGnzzdmVFtFs80mADZtFHSTv7Mhd/5CGP/1BHwxZhx+mjMPXV55FXsPHYWHA24bAUD/aCw8CmdbDG9jE4YBT5vwC7CVoKwo80UueJXSxVEwTy7M+22lsfZIBy+PWJvgWgfbIujB3iMj4dxRzKLaegkvXWXcBNsiKKVT2FntCqBmzRrYsmUzLZ+Y5kxDvvx5DRP1P7HbntRmEmO1QKHCtJRvuYqVxWWXrxvg2uqM1fu2DHDa8MHgwTh46DB+/GkOix5LsC2iytyxLTVS+HpMc6pVqTmRky1AdprXgcVrNlEbyREarkW9GcBmIF1EtEkVEY0yLuZLUeJLE0PbsmULatRg7DXfSLb3Hwuh/SOgnSWCAO30888q12uIpbNnquiyDxXICqjTixQokTQ2OdnQrkNHaqAmJCb6UMZ1QG2loOu5cOICWo1369rx45df0PzXp9l06nhc3WZo98VPyJKvqF9Kqb8mQbj2OSp/2gLOhZiZUWLMzM3OXbAIPvvhF9Rp3BJTPxuM5IQHhoK59VykQ4D/FpJLnJCYgAxEDEZOamSC0L2MSkE7PjERkWGhBkrRS7dIiqn8YpZTueniDaS43YgMDsK2a7ekYJoA13JPgbcC2HqZmDXnrqJ+/pyS7i+/WxPKSm+zR2d+KiE0sYUWKApXigvuFDfcKS5409yoliUTvqxbEW0L5ca7q/7CtO2HkJKYooFssnfSvFSy95CWxhqjkAsaufCmMo+q9KLySbxLu1ZYsnQ58uTJhVMnT/DJ22Ql6AwLBQrVc5kOIV/X/jMA5VNM936MrVbtO+DXlX9Sz7k+UfsD289qs55xkWLFsHjZH2jRpi173ZbeNTGuQvr/pcM0EQKDImot8kKZFgIjKe3euZ1SxoZ/8rFWh5OB0VXrNuDeg4fo3Ox5A2Qbzhga1U7hwJhErFPgTk6BKzkVLrFPSoEzKRXOpBS4kvjzRNXY6+I10VLgCY76R2OBRi5kyRReN1vSxJmRIqMDvJHXxs1birfacGcDpY5zCiA1WPQv0NNQhGgVoxx3qlEGv+8+imSXh+VlOQJwP9mJt6YtxveDXkOubFm1CDaPaGuiZ4w2zhZ/0jywY9jwL4xothRj0g1rYdQKA9atG7AeWo6MNS/dk+O1mrXF2LnLkLdwcQq8dYDtC5zhn0ZuAQNG9NpKQfXzOF+hopgyfymeb97G75qrABEboXKNhRfNm7fA0mXLNUdqOgDboDc7UL9iCaw7cEJVoeD0fln/nNc7J6XYHEEBaJIvBzbcvoV4twsNY7PCEeRAQLCDgvDAADuNKARrEW4GuHnTQDYdewRcCyAvwHU6e71FFMqPwKjIpx8LxEiUXk8FbomhaQqh+fHcaU5qv84LiwNDB9HkunZp0QC/rN6IpJQ0fSGw0NThn7auUchZjr0Ohtjrh44cRdGiRX2cMGaUy3zN6IeasNfzLdth4oIVyFeshE9eNun3Dx7cw/ejhqD7x6Pl5yh2pMbieERT4JLXyRYsET5+suYrhDcmzkO555r6CJ3R6LhB/wbyxZVGn8+/hj0oGHdu3VDn64/+bUSyRRqkr00s0ym5M8wKoMn5bl63Bg8f3EejVu18mS4ef1FtDXzr8xMB1m49uu0b5Y7NnhNjxn+F4SNH4YdZs/Fit9dw4uwFlorwT9aFR0WzDbDtJxDCQbaKkOnMSsWwtFK2qY1ExsKqDUhKSGQsKkr75ilL4rmghWtpemx9UilOMs1JgmzxWI9qizWLg2mfCLfmJNDOvVOHDli4cBE6duqEP9etR6lSZZ7q+j4qaCGvmBUj+cFMpBUqUgzzf1+JZq3bikKu6YxxrR/LQKcFbNO+bcM3EyfiwsVL6N33DcQnJrE5UNLHxdqriaPJ+u6K9s1SGVTt9z+27qI2UpdWzXgEnIBpvWnruxRgU98na2jLudOGEydPIXv2HAgMUoLffgNKJCj3lEJoZHvqkZMxNAhhQQ4fsC0ucOX6jZA9b36fycQatdYBtn+wbQJlciPbd34RiQkJPKqtqOKm98/qidfEMnxEoXzp5GJLTkxAaNiTl7gRVA+fphvvOgDy2zSQrUW/6JoqgbelvJiFbi6i2brS6unD+5Elew5kypLVRwVdAXoLQLMBx48dRfFixSwRbG3PH5N6t2R//e59ZM0YZfFS6gaypX4qL8k199BplImNwfjnK+O3M5fxy+mLWh4diy5Iup+MZqv6q/FOJzZeuIbnCjL2gATbTxjKdeQsgn+yheTJD1tEDAXbDHCzRvKwi0dFYurzVZAxIACvLdmA8zfvSpBNQLUE27xRCrlGWZJ5Q4SKT4UhNIVLrwdd27emDqfQ4GCsWLmSe0i9RpRVV7j2Ac8aM8MA20ZU3E9t9ScG2Yo+LseeH6/ovw22H9v8AO70HGFWhX4DYIsyfDJ1Qx+D4rEXu7Zvx8hRozBr5jRah1GVu2Jgm9ROr1ymBIrnz8Xvv/Cui9rrKfCQlmqCbBNsK+DsIsBagmrVxHPxmnjuyFbgn11r4lEmxj5VdVVN0O1Yn+YMDdKn3U4cPnWWAqaC2TNR0UDRv8V8IjuQRs8Qzjo9DaVL7fK0nub8bQfogkqMxl4T5mHEa+1oJJtQwwl9zCqAxhZeBbBFdHD+4l9Ru04dWgJRp4XqhrigbIpoNTPkPT4Amxi1aS51zEkaf1/6dXoV2DDzVtNp0sgXxk96YFsY/v6o5urvjPQrLeJG9qTqx46dO43IqJ5XrMAho4wL6njebFlx+dY9dg/JvRC1zznAZiA7kIJsAqoDQwIQHOBAuMOB3FHhFGRTsE1eC3RQobRgHt32pZGzKLdRpUMCaK1ahZaCJFORtJalXs1/NBYIo4IaehrItjYrI8CkkGtKuGzx9wOyNTq5/BsHXm7TFAlJyZi7dI3ldV/AbarFa7Q+g1IuFwvaSKpSwwYNjTld2VwaO0JnFGq5/lb7TrE3NPEzjxdXLp5HUnwiBn79PSIzZjaUwtWYVIr9hqK4D9j28NxkNkYNhki6YF1jp1js3OjMsXh49w4mDO6Pu7duKMfUY8C2bt/6BdzCqWdxEpDvXzBrJkqUq4A8hYr6j1ZrqSaCLq6/z4cyzvO2jei2dBKyli1HLoz96mt8+tnnOHzs5D9bF0hkkbCFHksXT++xTkPVDYhH5EXzdeTlFg3oWJizdJUCxzIPm69Lkkqu6OPKMczfQ5uqmCEfE1FPI7JtURj3QxlnUXkFtgsUyI8rV64gLTXVj32SvsX1OGagfO6HcejTrKxf47laV3wi2lamstanpSif3YEPP/4YnTp1RrsOnbBz914e3RZgm7PJtPxsGtkWgNthHiPr9pTZi1G5XGnEFSuq/kYAcQHM7QK86w51ra63Hs222fH999+j+6uv+jog+Pylb6FBT6UhTrend1EByBkVoiLZhjec5dMVKVMRm1b+ZvGU+wLi9IC3LjqjJmcgV568aNC4CWZO/ZYVRfcT0bYaIeL4mlUrceTQQcuCoDqkfnHJ1qxLdyqK9qQbw3UaYLZGFfWo9iMNf51iblEEt9C8ZW62H6VxVSoMyJ2/IF7p964q9aVH4mTJId/z2rp1K2rUqKai2BrYNinkLK/y2u17iM0YjbnrdmD6H1uNqLZQFlSNgeSTd+7jr0s30K1sUYSFBGH8C1VwKSEJX+07LumhimauohI6aP9mzzH0qVQcAUQJ0EoRf4JobEDuovinW2S5SnCluozmpnsSrXahWd7sGFqtFD7+cxdWHjkrI9kUXKdqIJs2pwG2ZVTbJy/Ijfy5c6BZwxewfuMmbNywSc6yZh+ygGz+37Y/V+PMscMW54qlP6fDsk93S4c2aDatHJhihT0TsK1hsUf5z/3+nckCeHwzI9jW8nxmRHvBz3Px/YzpFGRv3LCeliac+/1MRIWHGrWlSQT48NFjWL9tF/p3badobYYQGi8PR6PZKvfanZIKtwDYAmQT0J2kotsSeMuW6hd8B+Z9eqqsvJZELEfLvdbFZ3Qjhv0uF0b+tASDOjaRNDwVzTZrfqv50zKP8Kh2/uyZ0bRiHL794y8aje4/dSG6NaqJCnGFWb42F0VTwigkb4vRyZav34L9R09KD/v9h4n4afYcvN73DS64pJSRrZRww+ClUWuvAtc8ip1qRLW9SElzUeAtciZlWaJHRKwfF832AdDpgm2xXptrrvgsfwaGXLt5LIZc74IFC+L4yVMcHFrozqJMlYhokwGh3bNh81ezqDYXrpMR7SAe1SZAOzgAZxOTsP/uA7TKkwNTL16Ag0SzeQsMZBFtIkhDmgGytTKYMi/bWD8EuBag2wTbestSr/Y/Hgt2wgrxC7It1G0uxmNSxk3A/ejItvDEs5Y/b240f64WJs1e5AvcZcRaCJyZ+fXL16zH/sPHNAe1RQgNNmzdtg1Vq1XziWjLdD2roe6XVWGlems51R4vrl26iGnD3qOKzY6gEIPdoacVmqW6dICqR685yNYdWta/0xxbJvtSi25bAHPmnHnQbdBwLJs1zQwmPQJs62Nv1a8LsGTOdz46Rbp4ojjHU8eOYs+2zWjfrZf8bToQt0bqTRE0AarVPCWOibnKjGxrxwhjx2tDzrz50aFTp38+FkLCfL3bxsJhjWxbotmSQi7+8QNcJcgWzY18ObKied1qmDx3CTwukz7OotlsfVIsKw623U4s37wT+4+f1t7HQLWgjSv6uGIa+tLG1WO/oJv/roYvvIC1a9f6Xrh0DBdlIz0i/c5qf0lHrJ/mI4aZDuDWjpspEP5wniZuCKBm7TqYM28eZnz3PYZ8+hkSk1Olg3vOwsWY+sNsnqfNItQSZGuRagKiD506j/XbdqDfa68YUW4pfCaj4hrg5mlhypku5k4GthMSEnH8xAmUKVvO4ij0w9YhAbbApwfaT/8XAPJkCMXxWwnywpO+wBZlmoWAqJjMWL14Lmo0bA5HIDvGJhJWh5RMbqTuiPDa6OVHKIjjvYyTmAwQ+GrvvujQsim2bNqIWqTMF6U5+XZE3WN46dJFTJ80geZoLlzxp4VOIUkSGtXdgzs3r5tgXAPoFgeH3HSDUK6VotQCl48n5QAeBV8UhdsUJrPSwtNTGrdGsw/u2ILrF8+hTdceFor5o4EEOQcCtF+a8I3yIOpgm09yeiH5kxevolX1Mug1ZiZdwrtUL4VQnWLBL5CIZJOSB7P+PkFzqxsXycu1/2x4t3ppzD54CgM27MEb5YqhSEb/9D1yjivPXqG1davlyWYIr0mnB3uj7x/T2+AFgsLgyJIb/3SLrlQN139dwkE/E2zycKPN4/DC4QGyBwVjUv3KGLfnKM7di0efqiXh4NeN9SfeoeR5c/EIni9q49QlVvpAge1+PbuhYdsuiM2WDTeuX0OWbDlVqTmjz7CJjzy/ceUSfp45mebifLv4D3Ud5LTPxs5TSXGQn0JtM/6X/Ln2An1IbwMbBOoWyENa6Qj1Fv8bHVe+w1Ce8yNPXf8rVarisX9mEtwMsoTOEJC16Pk8NnniBLjdbuzbsxshIUGY9+NMhIcGczVuUVuagdNJ389BjqyZ0bZeNY0qzuqsi1x+Wos9VTAgnPC43LR5+Z4+poaABx63hwqFHbh2Gydv3cepuw+Q4iIFkdhcFh4UiNzREciTMRLlcmVFsbx5EJjzn0W06XUIi4bn1gXD6GHgWdDClZGy+q+9yJ0lBvmIeCEB4NxIUfOJGBPiH3aRBYuFOuE0QNe3aW00+XQqPpv3B/Jnz4pmNSryyCkB11yBnHq4yZhinu0LV2/iy2k/wulyY+PqFdTL/e7gD/HhRx/DERAooz4qYqREhYjByh5z0Kw9p+riqWmIT4jHiQP7sHr+D3A4AtBv1BTMn/AFblw6j2LlK6NBh1dw98ZV5C5QBA5aLsTmt5+m53sS66dYfxWThZUGIoPEzktpykFI9nQy4B9CS88oxzQZhzavTe3ZUm1E7dq1a48Fixbj048+4PUryQekRx1n15vsz1y9iYNnL+G9lnUQIsB2YAArgeh2w0FL0nng8Hgw79QFZA0Nxltli2HG4dOYf+MaOsVml14xNt+6qeqTzc2Ah/DuCZYOXR8dNjhEypGWB85SmFh/In1OL+lFtsAMGRBdpvQ/Hgv2oFC4U1P4fdKsYDYJamWPPHSuJ6WA9PstZ0g+0alSYD5Wic939+/WGS+81Afrt+/FczUqaxFq9v2m+BoD+ucvX8NX036A0+XCphW/GuXaRGT99Jkzkl4pHC/KGLeyIUxgysC47jzSRQNNZf0d6/9Az0+/RHSWbCpvWisDZk3fMFmTWnkxC5NKsbt46Tth79Dfwp6z82elWcUaI5sof8erdWXPXwidB3yEv9YsR/UGzem7iJ1HytiSL6WP+TeLMSnu66LvvqVpL8+36kjrYIs1zWeM27xY8ON0ZI7NhpoNmtM5hhdG0tYgjcnG+5d1baIzAxnT8piwE1SKEy0cQe1IZS+4qbOK+Mv+UUyOfTMRUUuOtxwUdo+y+9UA8NOvdTalBKoqP1tStfl6wyLNLvTv3BIv9BqEDTv2oR6tbKHyqOna5Kf85YXrt/HV/OW0wtHGSZ8y5oeXlzP02vl84VCzKh9f7J7w30OHt6jvK5wBdm2v7Oa2bVvjg8EfoVnz5mZgwE9/8LcW6AFC4zE/8NjYhQA1fK21lu2SkIWPDeOWSQNK9W/dlafjuOgMGfHttOlYs+oPtOvYCS88/zx6vtod30yaAofDgRe7dEFEWChjtNkU5Z4+5/d+0vdzkSNbLNq0bM5ZQ/r8aOlgwlloVHLgUW2uOE7OctLkKejR4zUfh6C/K07GBGEi/leAdrbIEAQ4bHCTMgFaTUFWG5ussQ5Ue6EpLpw8hsIlSpkeO3INye/mi7jNxxjQJg/5nNUIJherao1aKFa8BL6dOAE1a9flE6IyUIyINe902bLnRNmKlVCwcFEzbyYdAbWLZ07h7PGjqN1c9/T401c2NwasfZ13dAhywP0Y/GBGq7U8Y79CaH6UxvVoNplUfpk5CZ9O+t6IZhu1s42oH1MgJ4+JBzApKQnR0ZHMa2coKGrLjzbxnbhwBcU6NMSwl1sgKTER4cGBFAzoUEblbHtwOykFS46cRd+qpajYDaWPkgvoAbqWKYI6eXNgyp6jdEFtXSQPisREIWNIMIueJybjwK17WH7mEiY3ramBbOGkN0O1/q47Oe3AnEX+Ue6R2KLKlKVCIe7kJBlhtzu88FC6uxdeDwHbDjgC7figYnHMPHIGX2zYg8F1K2gdSQPaJO+U1DynXGSWxygi2jLv1cHo43WrVUbJ4sVw/949LF26FK/1et0CsOEDurPnzIlS5Soib6EizLCgte1Zx5XLmxib6V0486xNM16CbMsBUTPeiiVs6YNtffMB3umNpceuKsxU1UHzE5AeHgGyFWNFgWzW7t29g0IFC+Ly5Uvo93ovlCtdglH/LSCbCIbduHEN837/Ax+81gUBcHOAzUC21wDZSkyPsiEIuHYSgE087h64nS4cuHoLq09cwKEbd5E9IgzlY2NQI3smvFw8P8I1b2yC04XL8Um4GJ+EhftOIFdyAD79D8YCwjJwIE2AszKAvEIkhrzmcePqjVv4asEKLP6kr4pk0/dw55N+83VnGR3OviCbjN/apYugaK5YfL9mG87P/5LnanNHFa+lrZfvIi1nzhyoXKEc4orF0dcW/PIbcubMhcpVq1FRIT2/kYFtlt9Iqd8CWFMquJmXvWjqVzi6dyeavPw6CparjDer1GbnC6DTwGF0T5wND+/cwqblv+Lq2VNo1+cdXDhxFJfPnETGLFnR7OXXse6XObR/5SpYFNnzFsDFU8eQKTY7subMQ9lWwj0m5m76uRbD/knAts4AM8A1BxfCQU7WbzKHVKlaDSNHjuTghEddKVjUI7gsckCog8y4sWNsny745PvFCAsLoVoUBGh4AxzwBjrgcJN5jsyVXtyKT8KyM5fRq3QRhIYFoU+pwvhq/3EsunkN7bNm1/oEc2zancypxOrQso0Fe1k0m0a0tVKREmiLzyDgia5v6u8z1arB+tA/3KjQHrkG0ipi113mm4pJg3b19MC2L6im95cjQPN1tdWtVgmlihbCl9/NxXM1qyrHpk4JN0C0DblyZEfl8mURV5SkUVm978xQ/e6HH9GjRw92ZkYEyze6rUe+TPaiRSSM08bJ68kpKfj9x2/R8rW3FL07naizP6AtRcfkRTTtNzM9j10PO62BzBykwo5lteO9/HopG5eMA3Ev2J1kn3n2yEHqSKvyXONHgm3dedV94EdITU6m5QbJb/G3btE15PZN/Pn7YnR+/U1aEonMM6zva2Ca/iPWbGaA6ksaW6PE3wlflbAlvdTecNu8zIYk11MD3BRYkEoOT7JIpjcWgohujzAAtF9nLPS6y/tR67jmcPKJZguHLgPZBGzXLlccJQvlxZdzfkW9cnF8vdEj0Dp7in1pzpgoVC5WAHH5cjDblxovnFlCADcPzgmQbSPeCH3McDvXa4BsggHIHGWXezGIsmXNStMASVpsWLgqoWa94o9j++ljUAfYjwoOGl+koWor2FZGk+iryqaTOIc6P0xMYeI40PZCo8Z4vkFDLF/6Ozq92JVWs6hXpw7Co6L5veA1szWhO/I5N27cws+/LMGgAf0RGBLO0xMfi8osKU6CdUWAtg1nzp3H33//jbffe1+lwOizrSWaHfoPx8I/AtoEqOWMDMWF+0lqcuWLM10rbF406PAyrp47beZec5BNSybwx2RUk8WcTEjiYukAm3Va4XBhE1u/t99Fv57dsXvXTlSsXMXHm6FfGLInFLFBQz+TE7TBetYi20KY4vjBv1G8fCXtc9jni+d+/SfiHHkRe4O2q0W1yXvYxOu7WUG2qr2ttMNE9Do9pXEdSDtTktHp9bcQGR2t3muUKPNDM+Ztz949qFCunDZRaHQXn1qB7LXklFSEBDrQqEJxCRLYRCaunmZg2G2YvO0gVe97pWIxBnbFQKdI34u8GSIwqn4lnLrzABsuXMOSUxdxn4i8ADQKHpcpA8Y8X4UVj5dRLg64xT3xi7DVpBGQ55/TxkU97ahyFXFnwwapVut1eOjvIcDH63FwsG2H3eNAz+IFsPDMJQxevQMjGlRBkLr7kl5JQDqcRH09AF5XIKUuEVDm1ZTHKWBzeDDorX7o2rsfghcuQq/erzPg7DeqzUA3uVYDPhomaWbk/aQ/UmNcIl7/v9W31wojJD2Qbb4gXqN0L22y0hym6TM+0jmsb49zDOg/QqYjPsHfqvfoUQTdkWYC7evXrmHa1Kk4cGA/3n6zH+rVqslUSakaN793NJeZ3FdGrR4z5QcEBQbg9XaNFVVcUsZJXjaLahOwLVXsaaqBiwLt+4lJ+OXgGaw7exnFM0WjUf6c6F+mCJ1n6YJF6NhON5xOFtEmYyTEZkPh8FAUiQzHC7ljkeP19x5z8R5z/ckYDIsG7l6R36nANjOEUpNT0GfsTHzdtzPCAh0sZ06CbUsJFM2IZEwPblCKvFWtpjABdFFhoThx+Qb2nLqIamXiZC6wyNNS+VoM/Dkcgfhi6IfUUUZKwcyeNw8LFi5m9a0t1HCV02iKmwnQfePaVSyeORGte7+DuKp10aBbP/o55GekUTuBLHjqWjlsDkRlzYa2/T6Q4zNTjtwoVKYSUpIS6Ngkz52pKRRUJycl4tzxw9i7aQ3qtOiIQzs24+bVS6jWoDmKV6hqAG5rFE0a/8YIVmCbDDk6/imGY05tAioEMKAOOc5YY84yGypVrIgdu/ageqXy1IARNbPZYwWyRRkVWue5Rnms33sIRy/fQvFsMSyi7SYO1gB4A0lUm8yXAZi29xhVGO9atggo1PV68XbZYvhy/3EsvHkNHWNzKHBhc7PIG/fnCieNcnqySLZDCKHxyLZ1rAuwLbbMtf9Zfrb8PHJPg4LhcZKatMJqFXaDANzkgktqAZ+UlKOL2EVszaXP+DyqAIEv6Fbf/cEbr+LFNwfjr78PoVqFsuIFNZtZcrcJo2LkkEE82mMxTG02JCen4PDhIxg+4gtL2VR2HoIarT9XOf8WDR6LJoGHM0GmDnsP1Ru39puPbSjrGyW89McsIq4jEv0cqWkhgKbG6KCGqxgTtM8zeEDXRW19U64OFdUmrU2fdzB7zKeoVK8h/2ANbEu7WIAQZgtWrP0cfY2C7Eds86ZNREBgIJp06k5ZMwpgW0VeNZK/dlzwXfR1So9mM3DNQDbBiw67F25ynFxLPi8FB/5zh5PojySq7UlNUseE193Hq66utBJB48cNLrNOs+HgQoBs6uxltbOJvTTo5bboOvRL7Dh4FFWKF2QeVGtEW/su8mtH9GjDxgD5HO4ksHFqj2HauJmjigJrnVFJnY4CNArQLSpqMA4FA99kzvSiWZPGWLFiOdp36KiBVP+bFd/4A4fifcYlfNQH0pviB2zr/kD9fekBbm0dUnaSl+91cV47mrdqjeYtW2PD+nWYOXMGdu/dix7du6NsmVLMgatXOoIX4yZMRlBgEHr37sXyr+U5POYXinlPS80he6KX8v6gQRgxchR93XAaWtKLxUaA9j/ZbF4jfPDk2+nbCdh87q5G01LUSQH0fp4wEhVq1kO5qjWUAigvvyHAoRzsPrRmlUOsl56iN93jRcPaVRGbLTvm/fK7z7npk6veIc2cG67U6KelulxwujzwkJthyfERz/VoBtkLcQ1VS9HMPbJSnPzeDLoAWASVdJEzu53mnJF6ooQuTYwRmpPmsMnHImft4e0b2PrHb+jcsx99P81fc/C/l/eBfb7MabMLERng7bfexBuv90RcoQK8RE8aK9dDSx2ksT0BAqSsUFoKjp48g6mLV+LL3u3MKBwFAlpzMWBw9e5DVP9yHt6oURpv1SjDIhI0KsFBAW3WmrriKgkHoiaqxoWRWM6fEtmhJX+ESrGsu81BeUAgol4czOue/vPt+oo/cGzIMGnYGfl/xMgLtNNzkvsgB5ZduIqj9x7ik+cqISAkCA4iBBQShIDQYPrcHhICR2gY7KGhNMfJFhoOe2gEQEschAHBYfAGhMDtCESFek1w/8FDrFi+DIWKFbfkZamonBSO0aiwPiVIOMVPXmkjYqtrAviq3cu0A5kTbgWi5nFdhE18H3tsEtd9jYf0t8ctUD7vNYCzGQqwnoPveaqFhfTVLZs34aeffqK0/N6vdkft6hwAiRIgvA4626syV1evXEaR59vjgx6d8GG3NqpeNt2TEl6pTOyM7nk9dl6TnYylFUfPYc6Bk+hSvADq5MyKADLX0PHExxAfT8Y4kikcDCDbQ4JR7Nu5cISE4j/Z3Lcuwn1qlwLXGrXP7XLi1VEz0LFORTSsEGcowNLHlPLHDSb9+uvVCni+Lz1GKclMMXzFnqPYd+Yylv61H9kzZ8SKrz5mwme0niYRQCMlalS5D/qY53N5AoIw4P2P0fmll1C6XAUlEsQj1WliLwG2hx6judcuD86fOoF5E0ehSbc3kLtYGUPcjI4l0yZhkVapoaGnAul90ndsWENV186dxtkj+1GySg3s2bAaDdq/TCl4aizq5eW0NVrTFiDnEWC3W9YBISImlLth5D2T5xfPncO4saNpSpaom87WBrFPpXvRh0VbvW03Tpy7hL6NqvOUCNaPRVWGK7fvo/r4eehbtSTeqFhcVWlIdcGZ6sTUQ6fxICUVffPko3WJ3GluuFMJo4P1cw9FWmJtgIxg07lXUMcDmZCmvkkziBiMQUGosmwZHGFh/9lYSCNaCfFm1EUahhpA9qtQLOiSoh6v+Bt9b/1MtZGKIeUbtUf22Cz4Y840bd00o2/UrSJzvQWtUlAsuYCQzUHrLMdkzoJ2HTpwGrcmEijWFk05XKwtRu6wTK9QKRbkOfl7Es3bv2MLytVpIO0y+R1a/rYv0Obv0x5bTVo9ImdPL6DB1zXxmIwPlcLHx4p8j58yrDbg8I4tKFu9trSD9ZKuiu1kOmuNO2ehwN6+eR09G1RF+55vonPfd3w7mNVZ9Ig1zJhXpJindT3ndrlkP7LHxWKjnlpl2bq5UxLgfnjH+NVmnxaA2xrUsfR5Pd9ZMqFMurguWEbWP1LitsLLA5E9UwasGPO+AtgG0PbtNwYrkkdCmZOXsaUoW4cIbHIHLtMDYWlKzKlL8oNF7Wi+VpHxRF7TBcHsDty6cw/vDfoA3/3wgxLF8ysSLfCM9tgP3tEBtsX35NuF/KXBaf3F6EfWAIVcs3wr3MAPdrMJwK1NRxT32IATx45h9uyfcPjQIVStUhktW7ZEqRLF6XuuXb2G4qXL4v2B7+DDD95Xv8ziZEzvVwo2j9iT2bVf/zdRu249tG5LlPwVPhSOQtkltWuYKyacjpOn3f4xTzBXBmKQ+RF90BRQm7/SG7/9+K3f+oKClqcMEtV5DIEz7qXRRdLIXXl70IfYsnE9tv+11eLREd4IE2QLqrh8bnRaBYJJjtIXA3pSI85Q2/OhEijPlhCZMlyMeueSKuK+9bB91MPlImAF2b6AWyiq6rVDBQCaOXooqtR5zqCLq6i2Gdk2S3x5kZSYQOmuxYoU5hMRoypbBSeoYczzMJdu3omW1ctx5SARxWIToym+wK7dxM37qKhAjyoleWRCCXZJmqhUJ7eIqBHjSXuuIl4adcefX1DrT+T/gOz5/2OQTbZMNarD4/JyETRm+DFRNP44hTTxGjvePG8OZAkJwpTth7TIpIspkqcxh4TMy5ZeWk15nKqPu6n3deigd3D12jUMHz5CitvJhVQT7dIZD6rWrOozal1R1Ezz8nEnkZjUpYdfi2b4cXCpMWh1SCtqn/wOy5xpZSWkN8WpsfZkTeXnKdFBZYBYBc+Uqrip7A9cuXgR48eOQcsWzfHXtm0Y/skQzPt+OupUqww7ASCuVEsjDiuuKk8eu9Iw6tsfERYSjH7tGzHnFY1mM6DNRPIYZdyjgWxXSiqu33mAfr9vxLHrtzH1ucqony0zbCkuOBPT4Ex0wpnE96Il+WsuOJOdCC4Q9x+DbLLZM8Sq+u+8ZAqJWu86chKdPp2IemWKKJBNDSHWp1kut0Yd98kt08e4uNkMIKQ6XZi8dCPe69gYH7/SGuv2HsHWgyc0QS5uCOl1h7mhQ9qVazdx4+YNlK9A6koLtV6a/ivL4RBRs1SXGykuDy0jlpzmwvrlv2Hce32QMU8B9B49HdmLlEKy061amhsp2nPyOJUokLvcEqQbauQciOhiTWqN1MAFb9nyFUSNpu0QnSkWAYFBGNXvZcQ/fGARY1J/KwWlNAebnivrK7KWjqHntSFfgQK4c+cuHsTHy8gnq5PKFy9eL9XaqpUsgu3Hz3NnpyrfyECwA5O27EdIUABerVaKK5AzcTRHSAACQwPRt0wRlM0Sgw9PHEe8w0uPBZAWwt5H1cmpM5M5NfW8bENMkztERdNfz1Ch/H8MsulYIOr2Wj/VAa7IgTbzpbV8Qr0OtlYazEd93BBYU42woYa+3Rd/btmBLbv2GbRWBbK1Y4T/oIEKPfKTmpaG35ctR5u2beX8LUtSWQKMUl3bUNlmZoFpA6qSeaePHMCm5b+gPAHZ1nrwOsh+RAkv9VypivtVF9ccBAqoa+Bdcxbogr9GmTs96qXZh3s3rcWR3dt9o4zSLla2sVElR68AoAWAFk77BsEhoWj84qs+gmVpRnUDaxlB1cRrVJTRxfapYi8euzx0Xkt1s/lJvceLIBK4+A9BNh0LlD7+GE+4dbNGs6WDyhd8C7CtqONiTXFTZs+Q7m2xbs9hbNl/zBCVFfaroR4uXxN6J/wYT30yHouSXxLgi/dYxdA0ZqjB3mLvyZI5E+7fvw+X0+kDVv1dFrN/pWNzGXaWPwE0DScZWEjZarJ/ilRbjURg2nfq+01Bai3dQ6suIEvsyTEMFC4Wh89HjMSvv/2Oes89jznzfkbLNu3wWu++6N6zN4KCgtCpS2cpoibVyh/beFkvu4OKpW7YvAVdXuyKkqVKU5BtaklYGM/adQwmztp/mELxz+LgRHktwIGsEcG4kUDowf5FHyKiM6Lf8K+QkpqC0BCiHik45rzD8Mcyr5l6/jg1R4hSGN1L/cgGTZqjVJly+PzjD/HbmvXUky/fmZ6nR3MGKIqTWdvx6P69yFs4zicnW3Qk8Vzf5Pqk5SuInHLGxGDUHbJR+rjtcRFtHWSraAPd02i2ik7L8iUa6HamJKLm801QqGicT4SCemU1z6wBvPn9+3nePHRo145OACwCxyYyFpnz+E5Ibhc27TuKt1vV42UTlIIwjaTxXBjRTt64gzm7j+G9+hUQFRLEc7O12YXnU8k7blwvDsIVN98QQRNA0d81FvdC0PgCchfDs9gCM0QjokRJ3N/3N835ovnZXAzN7iaNCPw4+O/n/dQGdC+aH2P/Po4lh86gTenC1Ph0i8g8Ad2BLti12o0sp9eyIHjdaNm4AcqXLY21f/6J27duIGPmLJINQu4t0+QgUU2b3LOkNHaFDZ0OTh1SGWDq4im6HKeRapO9/Eh1oS2KGuz7GKOK9T2RbqK/R9IkHyPHZp3vDM99On+pIqRq5xvVNj9fP05p7V4vjhw+jHXr1mHr1i3IlCkTOnfsgPcG9KdjiKqI0xxlHrXWI9jCGCBeeJ6ffeTEacxYtAzDenVBVJADHhnJFjnZgi6uon6ulDRcu/MAA1Zsw+AqJVEoIhyeNEIL9/B8ba8W0daa5sWwltuLLFsZz2KjjquIjPDeu4Z7D+KxavdBLNqwC4VzxWJcz3bInTmDqmcqjBMphCbmCfFpGtfTmAs08GK3Y9JvG9CzaR2EhYWhVa2KKF80P96fNBvbfiyDAE4rVwBbU8WmqqMOfDt9Jvq+0c8ABQRsG1FtohjODVDyeOfGP3HhzCm8PGQcUlxeCZRZCSFlQOjOJD2Kps/pqs66WZfd8Cn4EQiklG/uMK3bugsq1mtMv2vh1C/RsMMryJApM+/jbO0Smgz0fKiEOBv3IjdYQi6u20DmSo/I26QggNFhKePcC7Rt1w4LF/+Knt1f1ujjJALqllRylUvPWmR4OBJTUtnUIJhFnGlEBPtm7zyC91+ojAyRYbS/qz6r0oKaFMqFAlER+PTgMfTKnw/FQyPgDrDRqLbHReYzPn9wZ60UQNPBdToGE/m+mBo1ns1YoLWtyfpGeO3iCgs+pvFOCXZ5Ig+L+JkWiJHvbbxm82+YtGr8AsqXKo53PxuLv5b9TPOIxWTH1OKtHkh/Kuc2/DT3Z3Tu3Jlq7ygBNMV+8rWxfJXFfQTQOABOTEzCT18OR//RU31LfaVTtstfFFsHzVYCnMFY4heJXU2LMCDNbeJXmK9vopKOFEbjayNjfbE+JmzVdn0H4seRH6N4pWr87/UbzZ/xz7JuOlWVfPTFMyewetEcdOr3PkLCI+mcIt9L7FYiimazUaFbl8uF0PBwRGXMhOSEeIRFRiKQMHn89UmDVaYi8npJSjkveWyIDPnHEMH8XjIPB4bQdChhCzzZZnrhZRTcArLZ2iFAti7CydaXljXKo3yRfBj07Txs/vpDagf7iqH56zjc8UTp96Lv6LohnFpOKeR8viOfS4QahUAknWw52NGo5CwPmU/C8KJq1SrYuWMHqtespU6B90nrJTFBtS/I1oNKxpKqfYY0u3hKCz0v/rMUFVyay1peOutH+nvYcZZ2wU6d2+ZyuvOya6Y016QmBl3GuW1IAx52BypXrY4q1arTz9m6ZROaN2uGevXqYcTI0bh3lzCpGUYMDw9HTEwMbRkzZkB4eATCw8MQHEwCaKRP2xEf/xA3btzA1avXcOTIUVSvUR0jx4xBjpy5LEwBU2+Cdzk5dsP+QVkvsf1Ho6hgpnBcjycDh4tDaIqNdEnw2hAWlREj33gZ74yeiIwxmTiVUoBtNukIgTQhdShuphSREPaWEBQjRoDdjqFfjEH7pi9gwdzZ6Ny1m7EsyY5mKRFmlpjQhdB49o3NhpqNWxheWuukoCYpDhy0KBkpScES1UVyDkMgIr3KqpAuPo/uZY1rLQrNwTUzzOwMZGvgWaeDB9rtuHTqGM4dO4BmHV5SEUufaLZGXRTpjvzY/Xt38fvvv2HZL4u02oCK+ioirJKa43Zh3a79qFwsP4gOoyp/4FZ0cK6AzKh9Hny8bCtyZYjAqySabfVecKCsg2xd5IY54DWwLQXWdHrpE3ReuwOB+UvgWW3ZmjfG7R17YLd7aMTEQw08AXJ4/rm+cUPv3fJx6L9pDyrmzIK8WVneoieAqUczkC2uOXssBdFE/WW3Cw57AL784jPUbdIKHTt2wp9/roWDKyqSyY8tKnzWIxdHiSkwUG3X1YdZJxWRauO+8IcGw4OLwqi/UeCaPBMOJwW2OZDn95TlIfrS6ayb/ppBTbKc3NN8hjymUZqEoSV/uNeDE8dPYNu2rbS0zb1791CyeHE8V68u+rzaDaEhwXyxJgBblOtS+WHqPilaG72XvJzI2yO+Rt5sWdCvVX14UpJYNJuU75L52KnwpHCATcB2Shpu3X+It1duw9CqpZAnNIzVcE8jomgEaLjhdjKQbQXb1v4nVPLtwUHIWPOflzKybkfupGDo0K9pznnDiiXw/cBuiA4LZgaQmD/oNfJYHHIWIbT07iI1aNiepPhsOHAS73ZuxoQEAwLx5YAeqNtnCH5cth6vdWzpCyC06CChsO7bfwBDh31u1MqmXnZa/saM/Fw8fx6LZnyDVz4cjYKV67AoEXFyaFFpFWUjhhTvRhrDxMpQYoYtm8fV3M/Fm/jf0X7pQ/FTY46sjWHRGeh8WqRsZUz77D20erU/8hQqhpCwUCXexJckMteTce/QUgbF59o9bG0j4mbURLRzDQdhlNAlzoYWLVqiXds26NHtZerQANGjsBOnEgfWcnFUwI2s2wVyZMX5m/eQLyZSi+Ta8OEv65E7Jgq9apeDzeOlEW5mDHuNuZ9cl7hsGfFlRHmM/fsYtgbcRY88eRAQYGcUck4fp39j903lIe1OahquJqdIOnym4GBkDCR1vIORqU6dZzYW7IFBcFMxUTH/+gJuoVAj5xxuLEh3py6JzkGKHgYwqZPqMRGb++qzj1Cn9Yv4YcFvePXFDtpkp5f20sqK6RFvGs124pdffsFvv/+u7CjNNjJsKxnF1hkRpro4BdJavnX8w3to1/c9hEVl8AHhVpBN6eRaLrYRkRZBFNJdtGtAwYPETMoAk+sXNdh1W5E5k5jgFRO7EmBG2CL00/mSRr5bjK3QiGj0Gf4Nju7ZQasKUCefT86qCb/VuWjBH48X340cgiw5cqFxl1fpdXh4/x48pHrF5rXYvX41HRtvjZtBFeJTk5OQp3BxFCxVDst/mIKkhIdo2PlVXLt4Fvs2rqbfMWDcDPww8kM8uH0LBUuVRfWGLbDip+nIH1cSleq8gMzZslFgTeYeF5+DiK2ZMTTo2Y2F4HC4qWYBu4DGkPCFgpbNh07AQbYe0daaBN7sOent4/p2Qf0BX2DW6i3o3rCGRRBNzTPs9JRtyU6SjBHNBqKHubgZmefJfE0Btsb6pI+J7UwmTA9sNg8v58cjjhrIpuK2dWpj3fqNFGiLfP70roVum/ljD0pdKe2YfpUVyFagmuEf8VyBbjwSdHN8pn0uv7vyuY1fMMO3KTW3uP6xDMAoPSv23R6MHj0aefPlw9wFCxESHKLO30scdQnUJrtz5zYe3H9ABZxJtY8HD+Nl9D4iIhIVK1Wh1Xny5M1LHY5q3jKZN+b10mZZ7/8QaBfKFI4dl+5x9XE1+cgJiywhNhs69h2IGV8MwbtjJiu1T+FJ1ATSJKiW0XF/0xL92fRYuUpV0LpDZ4wd/ikaNm2BDBlj5KQlqIc6YBbLE8tF1Wg72sW+f/cOKpYmeXomNVbflBdHEZSlgjN5tx+wLXCNv6EjsaOe+2o1wkgkm4Junpctotsa6E56cBczRw3BkG9m8GOWqLdOJbaIp4nyDiO/GIEP33+P5mkz4KDllhIKOTWSFfAjgGLighX47t3uqk4hf02AbZIvJqLcKw6fxtazVzDrxUYIdjjo6758Yf6PGOQGQjIBtnbxfMp7PQp1EZBNc56f0ZazVRMc/mw83IkJzDAlomiaGJqvm51Efdh9eLtcHCbuOIwxjavDQwSiqAKvEvRgAFujKYnott0Fm51d72oVy+LFju3xy+/LsHDhArTv0Il+NjXDPOQ+s34poj3y2ljHIO+3SvDGt//7Y44ILK07ucgxNsy9PmBb+E5EBF16SB/hiKKPdVBsucXWIJF/j776HFjzhXi7du0ali1dim3btuH+g/soWqQIatesga/GjEammIyG+j6NXnOWB4ta64Bb3S9Vw1PV7lyydgvW7z6IJSPeRhA9xmjiRJGZ7FkUW8thTUnDvYeJGLB8GwZVLIHcwSFwURBOwDVTHycgm0X2SBM52vDpg7pjKrbucwjKmBHPaitVuyFmfXAZYUzJis3FFGBrUQe3HnFg52m449MbvGK88wjp0u370aJ6ORYxEfTkMsXxUtN6+HjyLLRp8hwyZQ41oqo68N66bQdq1qxBDQZFbWVpTUJFXDQCsqd8+h66Dx2HVELfJCBb0MEJyCb1sameh6Kv6nakYCvJiLbhQPUypV8+15PoMQ/48rJbZlRblOASwTjlKLKhWKXqiKtUnR7/bfrXuHDiMJ5v9xLK16wvP0eCbH0eIOdI7EPyubI6iBJKI1EHIYhGWmBwMJ577jms+GM1WjZpSKl5NsLcoSDbUhdaXncbyhfOi7/PXEb+TMXlXL3875PYfPIi5vVqhZAgUq2CjB9GJ5fGBfdmC/Cc0R6Kz6uVwZ8XruHdI0dodLtEeATt++KaU78iiWDbFdA+n5yEcUdOokqWGHafvR7cTknDndRUVK9QEZUyPLux4AgMgouU+RIiVv4AtxHFFiduPa6HETTr1wK6reOmWqXyeKldS3w86iu0btoIMTEZ1LUU9HWNim6NZn//wyx07dqVpiYIcT8VfU0nms3NO50GbujWcFtr14Y1INKMZWo+Z6qM6+W+/NDD/UWxTTE2fbpQHABmp2lOYQ1EM6VxTXFcqo9bADkXBtQDSzqbk0Q0r5w/g01LF6HnkFEIJPoQIkik2YxW14hIZyPXbvufK3Bo51a8P3EWLTE16f3X6Xc3feV1VG/aDjWad6R/Q65F89cGsM/gH9j1o9GyZ+UvUxE1mhPnCuh1fvnDUdqXetGk+xu4ePwIEpKSsPmHqVTzgQDwcjVqU7swd0QorVf/rDaiNeNOvOff3nsUzuYdS3LoLGBbpShqoFk4b7XXqsUVwIvPVcPQH5egZbXSiAkPVX+vOfTUefGcXgomGY1HBOMYMmRlqJihw4A1+R4GvNmelqkiANsQD+aK43ROEK/ZUb5sWYwd/6Usk2q9NirAkX6FJWuEWwYc+V+I42IZJX3+PwPdOkLTBdDMPcSJ6MckC1iwLJiAr2AEk/3y33/Dpo0b8fOiXxAQGMzLOCr7LjQ8grYcuZ6sRC/5PXQeM+rdq7mDrhwWRwXZwkj60n9S4u6fiqGJbev5Ozh2M0GKIOnCSHpU9tblC8icNRahYWF+hRcMsTRukIjPE957A1fxG3br5g28UK0CmrZqjRHjJxqdUHYyn5whNXHrImhXLl3E3Clf4g0CmITwmXWi1/PmtOO+eT6+3l2fiy/2mpCUEt4wrwcB2CqKbYJolpsN3L50jhrwRYuX5JFv8z2sHqLIzxWPFej+e89uzJg+DTOmTGTiNrwxITQugEZyLjU15D//2o31O/fj85ebSQEnkmdMa/xKETRWfuhBYjLqfvUzSmTLhB86N+RAVDRukFtdcNaLJQCWRhVn0Tmes81z/qiiLRFC47REcowp4bL3RrbsjYBs+fAst78HD8f5H35WZdZIaRkqgMb2LHeQt2AHyyckeYUhgfh45wG8UaUkCufMgsDwEASEhSAwPJQ+tlMhtHDYiDhaSDhsRBwtJAwIDJGNiDtdu3MfJavWRUREBHZs/wsxWWJlvqmgw+qiD7pojZ6/JvuypiYrr74UdtEV8c3xKvu0wER+xq8uFmMd6/L96nbzz9QcXDqzy8+9EN/j77i+h6YU/vvvv+PPP/9EhuhomnNNwHXGDNEqv4pOKDyNgmsXsMeKdcBKd3FnCI9cM9Evfe/E/XsPUL7HIJTOnwuLP+7NItxOMrYIyGZ1sgVVnEazk9Nw8+5DvLNiK94oWwzFIyLo6zLvP42U9mJRbbcA2sQBSseYWEjM+yjAduW5M5GxQjk8yy3twAa4zu3XLADdoOGRBu58Y8d9z0+Oc6HVQIx/IkJDc67Zvs3wGfjpg56IjIpk4mckLzYgCDceJKBEm95o37gepn3xMRVEI8JnVK2Ui6CRMdP37ffx5lsDkKdAITi9NpqXSHMW3V6WV81zsi9cuAB7cCjSvDY4QsJVXqOT5W4T0E1zIl1mjqg+i+mCSobWBk8HInO6ELpka6Aq16iPJylolM4aqfo/e5788AGunz9D++/dm9dpGaJAEr3lDl197RWimWwv2FPkOXzWErJ2JDx8gNde7Y7fFi1kawRdJ5geAUhLS6FNiaIl4dCxU5i3ZiuGv9SYHr93PwFVP5yMkrmyYk7PVnK9kGXr6J44bbV68VRY082ZHG7ciU/BtKOncSc5FX0K5kP2YFKPlUdVRDUKhw1H4uMx9eRZfFGpFGKCWbROsNbIvuiorxBRvOQzHQvO1GS4naxahozOC6qqvtdVdo05hwMN+Zx+kOWx/CGWb7fh+s1bKFGrIdq3aIqp40doQNssecOANnOUEKdJUnIq2nbohKXLllEHlp5XrZgfWo6/RQCNOjE0IVldAO3B/fsY+05PvPP1D1SdnY0X4uAyUy98c7D951UrkG8ibRHA0IMZYs1yPEoUTQYfTIahr/inXo9bjdU961YiNnde5C9aguc4a+uf5Q7pDmoynga2e46W8IvOlIVGyMmxyIyZDRV3X7qwCa7SWxd910fFsrlz9RLOHf4bJSpXx8qfpmHS2C+QLzYTnuXmir8HTwqpqa0cv0oAUER6tf4uxoFIYzRKeWnaNdKJzQNBmqaNnn997fY9lOn5CdrWKocpb3TShNHEeNM6juxAgo1DvXa8ZCQTMqNlI8WeCqKJUpJkr4uiiYoXTBBNCaQJ0cEAmkvctkNnzPv5Z86EUWKDUrNA09vwpzWVXr+Q/cySuWJlSRlg2coclM/92Gb+nhsPrJvv9yiAzfok0RupX70KzaWevWCRGjuPCaKILX0+gMnGMbTBNLaAjiVzRIdSTal/uv3H7qoSsZE+HHerGAv5IbG58mL6Fx/j8J4dRuTAH71ITLqGwJImpqX/Xaassfjg0+FYOOcnbFi3VvNQaDWytQnKzBsyP3v3lnWoVOd5E/D52XQjRgVP9edaTWs/YmaGwULVw7lauMNO98SLKB/z50E0L1sYQZoh5LDBmZSAkf1eQUymzBrItgJsTRDLeMw8sVcuXsDQoUMw9osRFCCIJiJzUryIAgJWkigxPh5jflqC99s34AJIprK4MIboc5cbQ5ZuQXxqGoY3qaEBbDWxqmv+dCDb5AE/fnPEZHvmIJtsBbp3poY6EyVhtFMXVcbljUQciUqu2HMjkbSXiuXD3EOnGAvAJQxKdt0YzZhdcxL1pEJTxHDjoI3UZCb3J3vmGIz+bAiuXb+ODh070feReyvuuczT14XROI1UagP4qLAKo0LUdPe9znLMSUEJ5WmVdqI24cu/s+x9Ns0w0SsQ+DjcDPEypaBqNvUZdNLzenD08CFMmvgN2rZpjaFDPkau7Nkwd9b3+H76FLQi0Z+oCF6SizUqZEbFzLiwmZPsU2Bz8paWDKQlASmJ8KYkwJMUD29SPDyJD+FNekj3og385ns8TEjC+G4t4E5IgIu2RDjjk+BMIC0ZzkTSUuBMTMXB89fRb+lmvFM+joJsEsmmAntE/CyZCZq5yF4InJHjKS6kpbqRmuai9Oa0NI9s5HlqqhvB+Qo8c5BNtoD8pWlZOqoqTnUbXOw5Z2iQ/i0cbUo4UTXT/8t7gTHh2nD+xl3EZoxCZHiYARYIKM+eNTPGvPs6vl+8Aqs279ByUlXUjkQNLl68hPwFCvihkjFjhhj5RLxs6ueDkZicDEdIBAXYKU7SuNhZmi5+5jEE0cR71HvZ6+R9JBqeQgTWyD5NfB7fc6q6BPEujwZCNDBvATa6Q1i8JzgiCvlKlUfOwnG0Lu+Yt7ojNTWVO95EBQIT2KjP0qp0GMJp7DkpHVmgQEHsP3jQAG9mZFTPB7YjLl8uHL98Q772wbxVeJicirGdGyjBS76nope8YoSsHEHF0wJoY2JpgcgcHYYPKpZAn5KFMenseQw/cQJb7t0lVRKRYvdix/17+Prkacy/cAnjqpdFZuLAtIikhRUs+MxBtohqK6q2iCJrwmeyb7PZKb3rJ44z0Tl/19f/8WyxsRjzyWB8P28hVq3bbAHZOug2z4MojffsRYRhAwxbyfOIaLZun4m+o6LUCqjfu30LHfoNgiMoxMjL1itj+APZRtPKfRm0c6ugn0WR3LApZcDUIgylC51ZgYtGKpXaPVrkkLRKzzVBzgKFMar/K9j6x+9wk3XdIgQnr4eWj/7DmE+Q+PA+IjLE4KWBn9BUmIiMmQ0BYb3koBQ8c5l76QjkjR7Xnos5jMwv9LnTg8jYnCj3fHOERGdC4/YvPnOQTccCZREqTuiTbX4cUkYU2xrN1t9j/k22DJEY2aMVflyzHat2H5YCasRpTv5WNkNXSDiHRRkxpXQu0islXV2KsClaOnUSwFpVwOoUY8cKFiiA8+fOGVfIGjBQdpXO2hXsXLWOKYV+3te0saGzRpQwmUrrMFT+ZT/V1kihb+WD4yzNk17zN7aZAKno30MHD0L8w4f4fMx41e/leifeq0TWXJbmcy50PddE2fQ0FEPsUxeDA8Vb/wnIJtt/rHRAcjiyRYbgenwK944x0RThN2FCKqzDdHvvU4x5+zUMHD0ZmbJkUeJhgj6g52sLioZ4XVLn2Iym12lr9+IrWLNiGT56ux+WbtyODBlifKgSpgNAA91UvI29p0GbLqy2sD4E/KIAXg+R09spA49Tw0SeARlazJRjtAurcKMO1o0yEVIsB37VxUXUQVDDyXd89UE/dO03EJkzZTKi3ayMlyojo0CWXl4NuHvrFl7v8zqmTpqAjNHhHFyYIJsCOg72SISbgLiPv52D9zo0QmRwABNxokCQRCA0sM3B4urDZ7Dw7xMY16I2ckSEatFsHWQ/ilyRPshWauNPtgWXqIp/Y4suUhAZq1fC7W274KAUS5lLYf42/jtInUobyekOcKNYdBQm3D2JxOQ0RBHqpIjeEAplgAsIcMIW4AQcTtgcTnjpPgBwO2Bzk3IRdpqH3aNLB/y2YhV27tmLwR9+SPNb5DUSHFSezkCNBkon54aD4AbJkcW4ch5ZW9TclPecv49T9YTgn8EI42OXjhJOwePMR7/g3dgkoDY9qXqEjx62+Fv0LkF+48kTx7Fl61aqDn733j2UKB6H+nXroM9rryKYRLeEF530d+5dV2qhIpJtSaeQOdkWZwhxhJAINVffls4StxPL/9qPOX/uwJSerZEjNACuhHgeuSORaTJuSESbPHbCmZqGuXuPY8PZKxhfqzwiYYeLgGquXs/U7LnCvXDmkGi2XgpHlKuwRnoA5O7cDv/GZo/KBFtMdnhvXjBYKip6LUD2I/zOelKcvKGqLdq6D+3rVFL1tHXhLZsDr7Vvjt/W/4VeH47A/jXlEZMpiwG2z567gIKFClKAoaJjbD7XjYEdG9aicJmKCI+JpSCZRLHZngNipxbRJjnavNyjT0RbS98hVHEaxfbYaU5kgN1LcyTJ3wR67HSvFO55NI1E03lanyAUG7olfJwaFD/NGeUIDkX9jt1Qv/0ruH3zGlbNnYEubw6m4jEyhYS8mfRzEIVVwEVo5FxvS6eRs1xttgr27NULE7/5BlO+Gc8cHRJQqvshVMZJI3XByRcRo2nVvuOYu2U/JvdogdyZM9JxICPQVJ2JRXhFlJcGXKmkBI8eUhq5R9LCCwdG46uY8riekIQNl2/ik8PH6PUrmykjWubPiaIZo5gwmjY5iIh2lsbN/52xYCfKzQHwkHlC9G0J11iFc5P1zcmbnJqpOJdqHZFWivU96bgte7zYEb+tXIPeAwfj742rkDEmxsdxxajkbGyQ+XHT5i0Y8M5AZUNZVId9crM1MSGrAJqumH9gx1Y43S7EVa4ljXxJLdecROmBbJ+8bAto1jc5PhQBlgvumvnXRq421xAxcrX5dERXOJ2Oq6dMcZFQurLS2uRBeGvcNKxbNBvH9+9BZHQGxGTNhrDIKOMcyd/euXEVCyaOwZbli9Hzk3Go3aKDDECJ66kcF8rhYTgRhDPb4tjW10jzuGl/ilKDZK6pV/nZO1/pd5KIb1AwZbI82caj3jp7Q6zJEvj6yc22AnOZnuRB9xeq4ve/9qPv5AXYPf4dZIwIUd4UeaJcR0bYTkLAmQw5aju5WY8SudecKk6FIKlGBalaxOnjvP62CbCtx9hWtGgRHD9+HIWKFLUYUD6XRPV3bXyKvqJHa+XMkE7AQ18/+E/Xxgz7JskkFH9j7JXQ2eN8J16LDcK+jwdP5FoGrF/9Bxb9PBejv5mC2By56FwgbEDZH3QbT8sT93Op/J5H+iwA7W+9XkSGkprd/9n2TCQFSVT72sMUlasiwDbdKzXuoLAIvPvlDGpIJiclISw8nF08LV9bCodB6QUIbEAvsuwEYgCy9tn4CWhZrxqGDXoH46Z+L6dVcfHMciX6gsD2KSnJmDRsMPp9/qXMA7DGVNieGzRaMJWBaP4Oksch8h5Ejg/PCVLrqMgXEjQJk8LE1IvduHriMArElUagw2GAbQG0Tx/ah8CAAHzyzQxERIRLQTQfpXENZMsIN5lY4cX9O3fwao8eGDNiOPLnzsmp4kLhmkdMJchmwIFEr9ds24201DTUL1OYUcZdnCpOgbUW2Xa5cfN+PN7/fTOeK5wb7UoW4CBbr5PNjXA/tDf6r98BLIa+vKTpqo2Le0n/IigYQYXL4t/aCnfvjCtbdiJQzqFMWdJrMaRsVK2S4AEb7E5CL3ejcb7s+O3oWbxUqTi9fm6ni6qPE6BtC0iDl+QrkrJzhLZEqUvCgHXwzyTGsR1TvxyF8rUbYPXq1ahWpQpatWlLLxDtV0IYTQj1yRnKckzrzyynTVxFP5eYvkUBI5HDlt49eNSmT+CiuV0u7D9wAOXKl0MAoQxbQLUYj/rfp6akYM+ePdi9ezf27tuLhPgEFClSBLVq1sD4sSzXmgFrvkRRwSLufTbyqfgxvRa2EDaTTigSpXVKYE0p4LREF38saOEuF27cvYd+3y5EwzKF0bFcETjjEzT2BynvxsB2YlIKVh47hyVHz+H5vNnxdY0KlEJLagkzqjgpIacaBd08R5sCPVnfVq+yYF7noMgI5GnbDP/WFliwPFKunjWi1WLxUnnZ/jsAA2taTzKofKxtPXIGAzs0sTjcBMBjdbanjxiMMs1eQr+PR2DOt19LNWzSNm7dijp16sgMWAkctFxREs0uUaUmClaswUrkiHI5kjrOotAqR9ukjuubzhRhYIJUGWCAmuZne+zaWsWqTYg5nz6nnnonrp06ijxFS8FBUmMkLdZiiPiwPpheilhzMmbLiVLV62LsgB54/5vvaUqXHmQS+XJkLXcJijoZixzMK8ANahReuXoVqalpCCF88kdGWNmcVTxvDmw9ehb9p/2KRuWK4sXa5SjjgRn/5D0eCqLJXMWi214JuskkJiSFiKNQpEB4OeC2BXiQIyASnSPD0aloPmmgS5V9shhqRiz9rSHhyFi7/r82FhyBgfCkCWqq+HI29zCwrcdDRb+RkFAatKYZmB7o9t3I7fj2q9EoX6ch+g0agjkzJvOxoLM8VER77Jdf4Z233+ZXx/tYpXFrJM0o56VFypKSk/DLjG/w9lffmzWyLWDcn9q4qqPN3kvUtm+eOYrMBYpTfQadRaX6sQLZ7CoLAU8u/CneJfpIernaur+cz0vWXG36CcKfzY8EBoWg8Ys96VdsW7kEi6d9iYxZsqFlj35Y9O04+jeVn2uKe7dv0PJgZWrWR43m7Tk12CyxZ0bsrVFL6z1R6YqGI1tbB8w0FKU6HhroQKHM4fi3NsIKcqUHtLUxaYBRefI660kD1UY02997zDV9Sp8OqPT2WLw14xeM6NIIn8xfg/hkdk5kHn+vdV3UiMvPz8SmBJxpZ2DARAFpDvKFAjlnaspcbWsUWzgNpeChYHB5qR7MXzt3gazKfoGjBrLVJfPC6XThyMEDKFaqDBsLhoK2CSQVH4Nfa10JXAPeYjyoYzo45nvDOahHX9K5vV7zuZ5OIaafO7du4uOBb6LuC43QsmMXytxQKYumDarsQDPY4u+7LGdiAGvlPPP6jJGo4P8jQLtATBgdnMTLr4Nt6hWUN4XJepBSBYe2b8LfW9ah94fDefRaK7PA1yLqudfr3Wo3mu3NSsmZs+XAkNFf473Xu6Nc5Wro0qOXdhHNCUuPZgvK0OG9u5CrQGEDnFs3ZsRoEvbCI8hLJVHPjD7O2c824InENJrRY0S0OSj+c84MnPp7J0pVrY3GL71miJuRazP7qxGIv3cHb3z0OaIiIyz5c2YetgDaLBePUYjt8ODShfPo27cvxgz/HGVKFOUg22nueV42y81mbf/RE5i06A/8/GFPfozRyT0UbHM6NI/GpqW60GfBn/S3j2pUjXI2qDiajGyJmSMd152uQC4MFH00GQJoKuKtf4T8fK8XQYXLP5Pa2elt+Zo9j4CsmZF24zbzOEuTiBTk1U6bKz57HLwkk9OORnlyoM+G3WhVvACiqPq4C24Syab5qJwyyWv/ilJFsmn0w1yxmTF53Ei82LMvhn/xBUqXLo38hYtIg4H0AaaGT8AOM1alSJofsE39PsJVZLlNckLSwLbu7dc3Kximj61BFQmy1OvfTpqAv7ZuRf3nnkPffv3MfG/NgXXs2FH89ttvFGAHBASgUoUKqFK5Ml7r/gqioiJlH6NnqAFrtfDpizFfIDmtTOaHSWEzNkYUrV+AagKyhY5BGjx8fBDnIolOd/tqLv2ucW3qU4o4i2CzRl7feuYKlh4/j7uJKaiXOxu+rF4ewV4bXAlp9L0sci3SDzxwEcBNmtMNl4sYnx6DZqVUgi2LK5m32zdHYMS/aFDlLgpvYBilzbNoDznKFzKdyaJ1BgNUWzetjjapnR0aFEjBpur7vmA8Z/ZYTBnxIbr0H4waVeeh72s95Gt79v6NDz/6WJbrEca3buQf3L0dh/btxgtd+zDnBkkJEbWwdVqmBWgLg9g8fRtT9CYlAL2kMoGHOqTJHO2hImi04JBUKCTvUYYVK+20dcF3OH9wNwpXrIna7bubTl/DCcxZV3KN4SBAVMewAcWr1kGR8lVx8/o13Lh4FpXrvKDOlVQcperuwtjiwJsIe/LlWqfZVq9eHdt37ka9mlX90MWVeB1jG9hoqZ0BUxfRc5vUqw2liNNpx7Ds2P1mznZGbaaORd6N9Ptu14WLHB54CShnIUDl6NGrU4iNg6SMtZ97JnXk09uIAjgFs2IOkqfAJV+54eALuLn5Z0SuhbhkeqDb/5YzRw6+LryBGtWqom9PNhZ0mjp5fP7CBdpq16mrpd9pyrx+lMZNUVkFmq0CaNcuXaCiXoEhYUxF3EIVFyDdp362oX3D/m7f7z/h6tE9yFW6Gko1fVH2RbHJdYR7uYVtKlct4XCmj1nkQ4iWMftNRLVVRJvjbNMlwp3Loswt7YtSNEpFA6s3bk0buPO4Vc+36GNyLX575zUEBgWh+8djJDjSI/aGU0K7bnq+um7nykh/On3BCFCIuYnbh6WyRdKUxX9rs5Ga2sR+Ieuov82gDGjH/EWCpbGujRWNgSa507K6BXstR0wkvunZGq98PQ8Hz13F4ve6omA2RpV/mJSC92evxMZDpzGoTT1qS1CHngTvuo4C+z5DgVxquIi62UxIjQFq/l7a4YTQo9oiIiNoEJL+5HSun3XUk6/4ceok7N6+FVVr10fnV19X/UCs/dZLyvuYvCcCV9En7A3+dLFgfay933oL0z1vr/VzFOvE43bhnd5sXvp07DeS1m2uc+q7FcvRLB/2SIxtOQ95jSzXh2xRIYHPpI78MwHaZIAWyxqBvZcfaJ5XDkq1SUw8L129DvZsXIMj+3ahRAVRv9UE2wJkM7l3DkT5haY5o3IC439LqN/NW2P/7p0YO+wjxJUqizIVK1vyxU3xALlw8AmtUt3ntWLu5kYXepcLqSnJCAoNY6CaGx/Cn0J/tYxi+940Pb9UeBB9gTbzKhYpUwHHd21BkdLlEOxQAHvbqt9RtGRpNOv4EgoULCQBOIt86HUQBbBWudgB2v7QgYMYPPgDTJ80Afly5aCg+vKlS8gQHoKo0GBKD2cAWwMRzlRcunwF70/8CXMHv4Zg4kxJE1RZArb1HG1GHR+1dgd2XbyOeZ0bIHNIMMs5liUVHuN20rzSeo+ik5wlrKkAthbdktefA0CvF8Elq+Hf3EjeYJGu7bFv7BReakQYc8qLRKO01OBzUxojiULanR4EBnrxUlx+TN99BG/XLk+p4kLMjeUokjrYDngIFZFHtK20WerNtNnRrkVjbN/zKqZ9NwvdevTAHytXIiyCl9PhgJpEi2iUWzov/INtYaCo/DSiNeKmYyEsPMIXbPvxxbLb4Uv99v8+c3KvVLkKNqz7ExUqVJRlH8TrD+7dx3fffYeNGzfSiHWb1q0w6N2BNPJtiAvRRV1z6hj5UrroEDt++fIVREeGISos1IcqrtPB4dQi1zRvXiiHp7ISXVQYkESqnRj263psP30Ji15rBaJrnPYwEa5UJ45cvY0lh8/g+O37qBKbCb2LFkAsEQgiDpgkF9K0nH4BsonoGcn/pwCb7AnI43l7Mn9POhT9eJIBxL3a5dl1fH/3kpTQK1wOKfvWmycgDGJLzVuaWkD6sDhB9YJPO3rxGuLy5tAAtj7utWazoX2zhtj+9xG8N2w0ypUth6rVCBi04eq1a8iWIwecfJzquaQiF2zLqqWo36E7BdjUeaHlRIr86ZS0NKQkJ8MbEEpfI2BA5W5qxoygRHuIs5MIc5PINpuvvQ5L3JIcp6rtLBYn1qkcxcrg1O6tyF6kJP0usSYawFoAbg1k640Bbh7hDgxGdNbsWPHTVFw8eQxtX+svpVvYZ3hx+/pVKgqYMTqKRrJpzVMJtMjehueeex5Lfl2EurWqMSBL6sqKOLg1qm23Y9PBEzh99SZWffYGssVEU/E/8x5r4JrsqaErgCoHAdwyFO+jfYeAbFrlgiinc+aUMHbJRu8B74b8/pCnMc81+beGAb+WNkrHjuHq/myW1CPbtAfqwVjxl5Lqp6LbFlPbB3SnexJo16oFtu/Zh/eHfoZy5cqiauVKCmTzdeSz4V9gyJBPpI2kR0gVgPOvNJ7mciEhMQmBoWEq/5iPq9s3r+PGlcsoXaMenZ+MfH8LNVxn5Fgj2YJ1krVwKVzc/xcyFyzBxpxuxGtX2QdsU+PSP9imY0djVZp53MC9G9cQFhGF0IgIS1RbLoCq2rmg5Arnrn4rHA5EZ46ljxdM+AIn9u/CoG/nIypTFkNXyFoz3De6/wgBXp4Sptuiutkkjpg2qQ3lchJl+n9vo3NSSDg8iQ8e8S4LsBYRK+mstTijDPCt0pN8o9mKRh6flEzB9YVb93D7YQIKxrKxGRUahKm9WuPnrfvx8jfzMXtAZ2pXaxRVw15g0WxNgZwfI86U5FQnIkmqgFVxXP8cbSOg3ukyHRBm1FVzqGk4o3SFSti6cR3iypQz0g0U1lGdwJg9KF1bOZisTB8joMmrw4j+cvPaFYRHRtHyWdY7J/fGsu9VxyRg1u05LyaN+hx/79qOqfN/R3TmrBpl3Ar4Nbq5xW58mk0H/753A8gQ9mzK2z2bavScPv73lQdKDEkuHfwGcdcfs+u9ePm9T2gO6rH9exFXtgL/FB5Zs3jfaYkTTcyI4nFhXIi8bb699fFnOHLwbwzs9QrmrlyPTFmzmZ4+3umE109MREHBITSibaX70Q7BD838dABuXr6AnsMnU+qd+D06uKb0JDk5mwRa0/Dxp16pQHHpStVQrkp1GaF2pSRjxDu9UKZyNeRt2oLW7zUp4jqgtlLGVbN73Vjy6xLMmTMbc3/8DpkzRFGl2MuXL6HLa32RMSoSy76fwCJ2pOahpMKmUMP01eGTMeXNF5ExJFCCCQK23byRyJ2I0i0/dBpTtx/Ch3UroFK2zBJkG6WG/AJtNarE/KY7Mhho5h5+bdXwMdC1UU3+DcpVGAExbHH7N7eSPTphz9czkEacEHzBFVn7ZBmmp0iiV06iTE7Atg3uNCbIUzs2M347cwknr99B0ZxZDDV1oXpJo9qU/sheExFuVt4oQNJjRw0djH37D+LE6bMUbC9asAAOSjNn5hop+cXOjdXbFoVQWC1s9VxcfZEOQg4Ne7sPrlw4h+GTvkf2XLlluS6/4NnPXqpK81GkO81MOpENNWrWxLIVf/Axz87q/NmzmDp1Kk6dOoVePV/FOwP60wicWH2otoBcELWotYxmWCLX8n0EZF9F59cHqLFAaeKivBrPw+aOJwWyWQSbqoaT2te0DjZTEHc7nVi67wQmrd+Dj5+vjPIx0bh6/Q6WHDqNzeevolB0JJrlzYE3i+RnquFEECspWSqIUzq4oIWL52RPotdEcI/uCbDmQNsLDrTNiLa+5a9XHZmKFcK/vQUVrYTkvRtY/XC+CeeTuRJz5opwoj1yybTh2KXrKJmPz8EWEG4852B79MfvYu+hY+j8Wl9sW7cKURkzIYREMG2E2yPKPWpsJ74vVaUWYvMWQCKJZluEwkSd7e3TPkXCzcso3eMzBGTIysGd7zUXaxWLqDJznPVmnqdL9hTckrw/RnRlGEGkn9iQs3hFvDjqB3qcRND1iJTvY8YsU6rKgj6uaOQkuu5wBOKlD77Aqb3b8TD+ITMMaRqKF3duXMbwt3oiOjoDJs9eROcMjxbVFtesZOnS+GzYp4bYnKIm29RcZbNhyeY9mL5sIwrnikXNkoWYg0oXXDQi2bxWq25pUZxtyTWjrzHDgORIEsqml+RK0jQFvubwbkU/W6wfpP54XGkE58yDf3sLDQ1Fj1dfxfvvv49iRYvKaKgMCPH5SwJqdpKq9hoF1Ypmyu6weqwcpubaZw4lG0YNG4q9+w+iS/ee2LZ+LbJnz67SKTZvQYaMGVG0WDFeBofnAvuJspq52awNfet1XLpwDkMnzESmbDmVkJLHiwVTxqNe6y6mqJIGEPVcbUEhV1oTvuJm2eIqoOmQaZpDQAVI1LoidAtYbjYF27KetrBBRKqfLi7F10RBIwdw7+Y1/PTJmxRc9B3/g+EeobXuNbCtqrhxVl46OaS7163EillT0fGtj1C4XGX/QSFDJNhftRsh6OT/OunMThkB1HuERiEvmjUCWSP+PcafTh9/NNDmmyz3y5/w9Z0BzXSi2xammnisUpg8NO1o18mL2DmyL5qNnIWuExZg07BeVCyNbOQ7O9coQ9fXr5dtxsBW9Xgkm9PGKZ2ZR7E5mJdRbf4dr3w0HmcvX8f8r4Yhb948viBdd/zzrhMYEAgnERsWP1e/EPojiZtZny1fpTqmLfhdskT0PiT6lP5xErTzPiup1+INfqLNeuT41vVrGNqvByKjMmDsD/N9bxv/TdbvlK/xz1SfD2xatRyzp05Avw+HoVSlasyRzNcro9KMcAL72Ir8Ncuc9yTgW3diiC0syIFg5u3+j7dnxg+JCAqgYFtXZZR7rVaZ6ACOgEC4vR4sm/Mdfv3+WzjdbunhpNEEqyqePsHo9D5DYdJLhVZGTfmeXvT+r3REfPxDH5CtvEPqAi+aOUnz5Pga+8QoiYjKSCluRDiJiUbo1Gydum2qglNVcaocztTDpZo4b8GiBagWQt5vB7atWIyR/bvRyNpnE2eie98BiAwLoa+T97HPsyHIzj9XK8tClcrJcxsQSCMTV/Bqt1dw4tgRLJ47C5mjwpl6sjuNem4yRIajZOECDGCLkiy0JePw8VPoNmwiJr7RCfliImleNgUUpPxQiihFxBoBFzvPXsZbv29Cs6J50aNMYZpvTPJPJa2ct/jkNFx7kIgHialwEhVuEhGipRk8hmCaioDpkyyPFotFVveeWVREyZvDqjV6Vt390WMheyxK9OgsgQ+JLArwQyNjRDDJJdTISY6th+XYppJr5MZHFUrg0w17cP9BkqqjTK8xayJiSqOpNBeYPGbRVEH7J430hbkzpyAkKAgHDxzE119/LVkYom66lU2hcmE0Z5aFmUu2qAwZ6FgI4iVylLfxEdOaJZIt/8YyKarjCoBLBiqAXxcvxsB3B6JLpw747ZeFaNKwAdUboEr5vKwWi0KrmuO0VB1VZ9fK1WlpEvTauZiyeIbwYDYWiuQHnKw8EXhpIm9KEjzJifAkJ8CbnAgv3ROF8QRaQ12qh1Pl8CSkxSfhryPn0G/BWjQpmhe5QoLRZ9E6DF21HTkCg/BN9QoYULQw8tuDkfogFSn3U5FyLwUp91OQ/IC0VCQ/TEVSQhqSEtOQmOREQooT8akuxKeR5kaCy4MEtweJLg+S3F4kuT1I9nhZiSo3KVXlQTJ9rFrNoST/8t/f7OFRCIqrzMc1az5jW47v9Mezdbv9IAFZM0ZaOlH6YJvUs503/Rt6vHXnrtixazdKly5lidaZuab3795FUGi4ZuBqtHBtTQoIi+QR1QBaUo29zsqrifeq38lo84b4k9VQlmudyvdmpZL0aLr/lmY0FnE3mpZnTspXkvJLjAUBFK5QHXu3rMfUYe8hJSWNGpnBYZEUWOQvEmdUBjHEsKgBb0dMTAxu3r7jq4TNFcTJ8x2HT6D78MloV7cyLW13PzFZo3QLZ6LlHsqJQb/PfH4Q7+UOSaVSzss70jKPAbAHOlgLCJCvidczt3rxvzIWSDR73LhxGD1qNN58803cun1bxI38sjb8q4+LVCFNvVxT1LcqvJuP2ecFBAVj7g8z2Vjo2AXxCYk0mp2UlIKRo8dgyNCh0jlnFRoTwRM/AUTaiOAXuQcBJCdd69OJJModFIy8caUMarM1AmvkZguadLq1sy2A0nJevlFeLZfZoiqujiubUAeo5HFweCRCIyKRvUBR08a1pCXqeZ7S5rTYqaSd2L8b04a+hcovNMcLL/a0RCHNPOz0lNiV0487XaWNoR6LsoNkrAsmjt5opQNe/aBh0az/lbFAhFztoWYk1GfzAaOWAI0GnpWYruVv/DTCxhv963p88WIjBAcG4Kd+7ej00n78XMST+YinNpL2Uq2y2HXqEs5dv2NGxQ16uv/vIVVLCE4IIorVAvjrv8FPZN5kG1guhw/INp+L8WTVNdCrUcj+oTHfaB8ha4Fs4phQtmd9SD32Ur0tIuqXt0gxY01Ra4t6r5NW4RFioUwwNM3llZonZN3at3snPn+nD+o1bYU23fuw18h7aH9l76WP9c/Qv5NUB9HOWfxG4/drauv6OGQ6NtY1DchCRPKe0fYf19HWN5KjPefvS3C64Sdaq6kaapFd0q82L12EWg2b4871K8hTqIj/aK8GeP0dt26njh1Br3aNUbpCFYydOZeJkeieQr1uMJGS79MVQyb/lK7QhC+d5xF1DPULLPZ+6g1b1cb1XGqSf33lzAlcPH0Crbq8grDQEK1mthbB1kQsTNEzUaqJqMZ6MG/uXCxetAgjP/8EpeJIPjYBI04OTJgAmgAcFGhrEbv1O/fhy7m/Y8Y7XZElLJgCbBbN5gCb1v0VkWwnTl+/gzY/rUShmCj80KIOgogxQAeEG3uv3sb6i9dw4UECvTahgQFUZTvJ6UKSy0UFhnJHhaN27ljUyJMNoUE8QitFb3j5F59jqvSL8T5+PLhIaUQ364H/1pZ0+y5mlH4O3oREBNq4I8SuOUACHQgMtCOQ1NMODURgaAACSAsJQGBoIA7Fx+Pn0xcwoVktBIYHI4Dc/9BgWl/bQR6HhcLO62mLZg8m+1B4A4KBwGC2dwTh4IkzqNe0NRU8+mXxIpSvUJGVRuDliwyanqVuo650alU81Tu7TOmw1INnlDSz/4sa2uZY1v7OEApkf0v8isQBQ8pwEe/x8GGfIJAYyoaX2BK5ttbhFI/JazyinW6tTqkk7jJzsTm7Q9aSl7WvfR0iZGycunYLrX9aifCAAOSJCketnFnRNHd2ZHAESEeLyL0mombEEcWOMcOJCJvR3GuttIWgh6sFRJXGYQ5KrVSOFtUWC3zJlg3Q7Zdp/7WxQBwT92aN9KM06/WtJuBvPFONAtFYPdJhP/+BtnUqo3Th/EzJlpRQInW06eNg9pxoMQQEGrWzDx4/g3rN2yJnzhz49NNP0bh5S147mzgmiJo4EzlLdHooFe/UieOo3b4bElPdSCQidWSf6kJSGmmspBfZE1YBvVekdrlGHdeD85I6zoUvbaKKBC/tKGpo67W0xV53PInNcEYZj33poPr6K+rm6qrmtJ42F9Pcv/EP3L12BW26v66cwcL5K53FyqHLGjB/zk8IDwlGxzYtWLk7WgIvhdbTJvsTJ0+h9kv9aXmv5aPfwYwla1EoNiMalCZRbZaCJDULyF4rdUicMsJJIw1hPc9fo+qbxrfSA7D2PXIovFRFZO/57r88ArRv9XqRmJyCPbt3Ydinw9CrV0+0atWKR7DFmLBQS+V8Rl63CiuJvzF/m4gEMhCvd0LlkDp05CjqN2qKalWrYvHCBfhk2GeoWbMWGjRqzJT3+TSpSvz4r5styk6ZjhvOsuEOotPHjtDycmb5OGXUK2DIjrndpqPJCrJl+VfpVFc/nf1OsdPGgqUOthgL1lrZoukCYb7H/de1F2ve45zO1y+cxcjX2iB7/sIYOHE2AoKDVUAK6dPF0y135iearYvRWcXS9E3MGeVzR6N/rYL4b21ejxvOO5f5mqtHn0V1D6GPwvaypJZeM5vasZbnvISkeh9/zlPAvlvzF51PetSrKPO2D128jkYjfkCVQrkx/82O1D6ja5DNhtM37+KTBX9i7ttd6PrDqiFwFiFfj+hxXjeb7qlDT6xLpKZ2EKujzdciVlObrEl6ne1AnDh9Dt/NmoUvRo6Wa7uxzmtOWb2mvQLObBzpKvW0X+n45FF4xciB1tiilmnE8tD33moPvIZDwLf/Xb1wBu91aY7cBYvii+/mIzgk1Cf4Y9LHFY4yiE7S3uTReSMCbgonP/qkgciQAOSNeXb6Nc9U8YAIopXJHo2Eh/ewZMoYXDp93PAeGiINWv5A3ZYdaG7Pz1O/wtI535kqi1pnevRxsxUsVhwjp87Crm2b8MUHA6gXy+rJlJsN6DFwiB9qtz4RC+CqavX6j2YrZXAR1daj10Z9bM2IERHt47v+wsg3u2P9kvmoUrMOOvfojciwUPp6iB79lp9ro8+Z8QMaBQ+0exFA6ifDje1bNtI6wffv3MJvC2ajdNFCzACi9X/ZnkXtSA3gZB65Y82dnIivZ/+C735bg58/eA1ZQoLgSWGRbHcKab7g4urtB3hl/lrEhARjcsPqCPR4cfzGXQzbvA99/tiG/ddvo22B3JhcrxIm16+McbXKY2iVUhhVsxwm1K2EGQ2qoluJgrgan4jeK7dh5r7jeJCcokW/1D49T6K0VTxeXHuQQLt5ePWm+G9uYZljUKH/q3jodmFJyi1ccKYYAIkqQ3P6rwJXAmi5UDpjNMpljsHsv48zIKbR81k+vBDaMktJsRJSPJLLF5ZScUUw/6fvcPfuXbRv3wHOtFSmQizqU1tArookaxOdhY376C39NxhAQKVjGhRymTagR7gB9O/fD+XKlsXoL4bTvi9+n4xc6/XfpXo+i1rrkX4auTai2SRFgjEE2J5FsQWbg46HlCQawWbR7CR4kpLg5s2VmGhEsWmLT8beU5fQ/Ifl1Hh8v0JxTK1ZEZ1z50REmhepD1JkSyFR6/hUJCekIZG0RCeNXCcmO5GQ7EJCigsJqaS5EZ/qRkKam0ay450eGs0mkWwWzWaRawIYSTQ7lXh5OTAnXt+7HhdcdgcaDX8P/83NHhqOkHK1cTc+CZ8v3YyjV276jGMJhqxhKX1Ma1t8UgoiQ7nHOV1KhDooFD1KlYzD/J++p6BvwcJFdByaDlPFvrp89gxy5CtkOS1VOoXp62gGrhadFxFsuuZpkWwFwvWoHv97LYqoG8x6lIpGFkR0wBKtJmXHZO1tp29km75GypJZo+BcyE1EvMvUbYwXXnwNqxbPRarbbUQ6dIecdQquW68+1m3Y6FP7mTy+eusOmvcZjCwxGbBo9PsICQ5B9VJFsO3oWakSz+jlopyORiPXItws4s0+W75PalWYjhqiY8FqbqsINo1iO+y4kZwKe2AgMrXo/F8bB6yrsggX0VcpU6YM1q79E71790ZSUrJM49GZGeIxS+9haQb+I9b63+jXXv8bk2lQqlQpzJ8zB+s3bETHzi/ixo2baNiosTYGhAimf6VxI3LsI4SmVMcvnDqBP+YJu85/NNqgQFsE1Mz36exIq8Ct2XSbU48sWyPVMirNY9TsNypGnC4Ep4uN+QRZLFMYi7IrzR/R7t26ga8HvILImEx4Y+x0OIKC1TlrkWwJsi2ROL817y0RbAq4OHtORLvpcRLZNuYMN+7fug6X2402pXP8d8eC3QFHaBTu3ruPj0aMxeHjJ3hSm4EILXs9CqyJjdGLZ1YK8aWPs7zsJdsPoRsB2dpNK5krK2a/0Q4bj51D/x+XM6cen6sLxcagVJ5YLNlxWKmcazWyhdNeCK3J0mOyhKX1XPTfoHGqCTeFiEKS98sj/jf9sogeZvYNVZ7SiGILJpOIVhuRbO4o4w6yNO24iBqbUeonaVqlDj+R6OvXrmJorxcRFZMZgyZ8B29AkHyviGLTfqpHtLV1SzUeNee2jun0444/a+qXT+Tfg6tXr9BxFhv57KLZZHvm0oLlckTj2F/rcOPSWaxf8L1J2dHqWVsnS0LJGTBqMi2zlZKSQml6chK3GCA6xUYJ2KiJWHThyjXrYsi4Sfjj1wUY/eE77DP5eYoOKuyyy2dPYdf6NQawkCW3NJCtxMZMgC2OC4BNaqSKSIWii/N9AKOSC5p4/O3r+P27iTi+exuioiIwePQE9Oj3tkElpzRxQRUnf08Btg3BAXxP6eMMaAd43di0bg06tW+PtatW47sp3+Dt119FoNfFIg3OZL5XtFgIMJGSSPdnzp1Dm/dGIjzAhh/f6YoQuOFOSYab3JvkFAq0XQbYdlKQ3WneKhq5ntG4Ok7fvIfeK7di7qHTFFx/W7cyXi1WAPnDw1j+qSbwxCjlDHTmCgtB5yL5MOOFqsgdHoaBa3di2u5jcDmJZ5JENdyMmqnRykXTqTiTN/+NXnNWYdmN1P9KbrZ1q/xmDxwPteGGOw3r0u5RKjlLi+DeakItFWCb/naWfyuuQ4eCebDq9GUkJ6dJqj2trS0fE2EureyaqHMuwDbNU2YiXs/XroEZk7/BjZs30bx5c3oNZckfw1tosjRNsPsk2S7+N70Go89r2nex92o5NyJ/Z9NGREVGomP7ttzDLWhb7Pepeu/pgGvaBLVeCP0JcC1YHDxKLUB2ChsTBFyzcZEowTZxQjGQTYB1MtISkuGMJwA7CQ/vPsTnq7aj88K1CHE4sKhBLdTKEIO0+FRGD6ctje8JyE5DUoIA1wxUEyD9MM2Dh04PHro8eOAkzU0fC4AtQDaljRPKOBHmIiBbA9giEr7H+wB/eG8htVoxZIv793OzrVtY+TpYffIyzty8h2kb90nQKSKPKkWERytFyZN0gLeDGCSPJWNZvELci/Nc3TooVbIkVagf8GZ/udbQTfvIBu1fRMnKNX0+VRnoek6nBsS1HG35Xn1vBCWVE8EKAHTaqALbGpXPh0bOanszwC0ANXtOaKG0kT5CXrc2i+FCvi85JQVzJoxhlDzdgLfWM+Z5vDly5qJlvogKhaQ92+24evM2nu/ajzrTl038HDHR0fR4mUL5cODcFaZATDUmLFRzoRAuGA5aKS8GrnkpMI0JIQE3F5G0C1YEp4mTNn3fcby5YhvWOIMRFEvy/P+7GynJ+ceKFTh3/hytrd2hQ0d07twZtynt3g/YtlLohcCcfA9/bPydTjXXQDl9XQHx+s/Vw6SJE/DHqlX0XhJj0wSpVtvNZPEpsSUr80kFRX6fNRXNur8h87X11D8Foi3lqyx52mY+t5mWKM9Re5+gauuOMxMIWwG3f7CsnGv6Z5s54Wzu8JMqaRGTI+3ezesY26cTXE4n3vzqR4RFZdDsYyvNXXfoaY49I6WSRP1Z5N+kjvunk+s0XtKOLJ+FrZMHI+D0NuSM/vdU99Pb7OHRWL5mPU6dPYeJM3704Uf71M+2Mj40sTPltBXgVgfc7PnUldvweoOqDPhoDhPyuG5cfkzp3hzztx/EW7NWsBRGvk6906wmvlu3C2kkf1qqiStwrUC2qtdtfL8OwjVWirUcH0lLTU1JVQcsPmYzUqz6mrXf6GBSAmuD0i36gAmeFb1bUL1N+vcTNytAdlnBthfXr13D0Ffbw+lMw6BJsxEcHk2P62BaAG4fsK0dV+CdpUb4UsvN9Ys8Fo4HPfj1/ZRv8H6f7ti0YglCAp9NbvYzF0MTGwGWvV7qjDF376FsnQbSk0hNbdmphBAFE6ggpd+pLrPNhlbd38DJA3uwbdVS9PxgGFUPpvCYAAK6qLO/ZfIxmqS7Vk+U9UZmoTdo2Q4ulxsj3utHO+U7w8eb5T04CKhcpz6G9H4JZavVQlAomXCUOABptEwZF6kkn0/VW8lXCcFP3Z4T1AVOYzBoRXzvSk3Bob07KLV97oTRaNCqPSrVqOVTM1svySWUx/WSXYwyztTZSbRzyW9LMGf2HFSrUgkzJ3+FTBmiWZSPRK7dvtE+Wf+XU8UJkJ66eCXW7jqAcb3aIV8mko+dTKmxVEHZH108zYmr9x6iy/y1SHa6MPH5Kpi65xidxIZXLoWowEA6WRFALSl++vUXEUxqA+gUUhvq54pF/dyx+P3sZby+cis+qVUeuTJEMJodv/7s/ZwmyI+Tw3kyRtKBlb9OY/wvtqDwMPT+aBBGv/8hygRE0MFM7xe5FoSaBw8cLhsD205SA9YDe4AH7gC2J7W1mxfIiV+OnMFLFePgISW/hLI7ra9N6JYB8DoJ7YgolKdRKhIVRfMEyIivl9R39LjRpV1rpKY58Xr/Aejfrx8mTJpMhdVYCROuVKz1bQN4Mx0MDXA/fcaJNUJtBfEKcGuUJdjgcqZh7NixlJqqFi43L7/l9lOOKx1auE9uFaOjEQqboJUZlDN/gmdOnidPWB0aRZw6nFJSseboOXy76wguP0yk/X5azYrI7LYhNSmFlebiZblEHWwyfuiiwHOMpGI4FzOTOUeS5s8dNSKqaNGdEJv17oQjgN7nJv2643+xETp3x559cXf0CDQuWZBdf3KecuwTgRkmAqbXzxFgmxlcKgpAcutShWiM77elA1SURydHjuzo+8Yb6NOnD72eI8Z9LfWcRdu4/FdkK1AMWQsVl5+s8LhumOvOPv2YrsSvn5t4zeYTLSeCg2LNpLVb6ZqjStjpAMA8I/7pFpqsQanTqLIuzVlM1mxRq5s5Osgn2VGn3cvYtPgnPExIgD0ygq85Xjp/BdhJ/7PR2t4STNiBYsWK4diJkyhROD+LZN+4hQadeyIpORV/zpqIvLEZqfMKNgfVU8kYGY67CcmICQ2kwM9I+bHzsjhyoSXiZuTURMSHi53xayknfqHMqF1xfXCQdYHo+hZp2AL/i4309fYdOuDO3bto3qIFCuTPjyxZsuClrl0x9dtvkS9fXnbW1K4QBgaVxJa2hiruICbrJ3CCKrqQZBqQj9m6dRveeustTJgwAUEhIfjqm4nMUWJEhnXD3ozmmjnXGs2czF9ON7q++wmCwiMlpVWCRz26redSa6/JKC4/7lf13PKY/UqxirBrQ/6GVbVka5ysj63XyvYh0XCxUF4znoxMthfXnwnfMsaBBor4eGdrKBd5tAH3b93A+L6dkZaSjIHfzkdMtlzSWSjmATMI5a/pauyKWm9tvhRykz0ghkNwTHZaUqlVtRL/Sl9/bJckFVI6dsadO7fRshEpL6hFevW9dmN88rL95U5r0WQBwJNTUrH5yBkMbF7D8vcq7aRDlRKU5dT3x2X0m795pSnscFC7vFONMvhpw1681qAqFz8Tc5L5nTZeV1vU0mafz+wPWSLMWGnU3BQSGorklGTtCvnaWeZf6k5Zvtc1PnQHlriUPnW1rTdF7UQli6fZjGi75pCG9l33bl3HqN6dkJaajA+mLUB0bA5q/+hlvOT6ZVDEmZ0q0g/NlEWNkamVuSSznHid9Tn1mvydNiBbrjy0HnnxQvnwrLdnDrTJVrlgDrTs1ptSHYXSIdnkesljyeJG6GY7eaVo2Yq4eOo4Fkz9Gp37vsOUvOmkx40UoewtVcfFB7HFiU1sYvAAjdp0pMe+eK8fXC4nBo74ii7yTJ2OfXNIaBi69nsPCQ/uIdoRAEdQIKvrJuvJMQVKiuc0NUq16eBAAQYdYJOyV2kpSdiz6U9sXvkbqj3XkNbAHjJ+soqUy3wgBa51sC3Vw22EGs463IUzZ/DT7J+wd88+tGreFAt/mokIUqKLAGwnEXdQkT6zBjDPP+UAYtu+Qxjxwy9oVaMsFn7Qg+Zvu0nZGgKuJdDmomf0sYuKnF24fR/dflmPZJcb7Yvkwfidh9G3ZGGUiYmWAFtEefwCbVFyRQPYos60aK0K5EbF2Mz4dPM+tI/Lj4aFcrP+QhArzQFn7hCW68nqkjYvVQider6OqHrN8L/aavbrjkMzf0bi+ctG7ixbTHk/9vhrLMLXLH9O9Nu4Gy+WLya9tbLx6L4EiRpgVLRqIpjAnhN18m4vdcbW7Tsxe84cOhF/M2kyyyUSlQGEYcdLPmimggJAT7HpYNr/q36OaOCe9O8Z383Ei507IToqkuVukSg9zdliQJnleLn9gm3DmyzzrwW49pjXzsjxckoVcb0mthQA1ETqSImumySKvW43Qu023E5MoXPW1MrlEOtxIDUplYJqUu/arZXlIkaoK40LeYgotEU5XDIgLDnXTMBDUB6F2zL9rSDC0fudAWjevi3+V1uWai/gjeY74X5wR1PkZv2MqvSK6k18njBrlbLndA8vBdopqUKd9Uk6paDegtJ0w0JD0aVLF1ItGm/06Y20tDR8Om4C0eKXfS8p/gGSE+M1hW6R16nSiozcab4+yU1bo7SDcp0yj/I7yMG2yNelARD9fQaw4Ea65ZdatVEUQ0udt8o5tTNBN5IXTg1xXkqMfocdddu9jO1//IqipcuhSNFicLjJmsSNOVoPnExLDIiQ9vwLL2D1mrUoXrg3zl+8jGYduiIlOQXr5k9HgWyZWXoSzUt00TzH58qXwJ/7T6BDjdJa5Fo0opoq+oH2A4XFKGpP66XUnqAvkHWhS+++yNDofwO0yUbKpb351gBphJYsVQrTpk1H7149MWvWLMTGZlVzrwTUwk/D+xU5/KQg2xgDqk2YOAklSpZE/zffQlyJkujTuxecaU6MnzCJCtaaavzKwBe6D1KAySeizfYzv/gQzbq9gYxhkZZo9yOi2QZF3IwKm5Fk/zo5vuNMgGFmt3EXnx/ALXXsua2qO8JYkEeV/WLnJWxPo1KHPgVwo/72lcv45q2X4UxNwcAp85E5Zx5fwTWNGZAe0Dbriav36/Ryqd6ugWulUK6YCmTLWq4+Xu/+ElpWe/bg4km3qKw58PYbrzMtBx+KtZ/neohfruePi2Z7MGfjHrSrVophBAmAdWYVO59O5D0ABdskCjqxWzME2QPRqXoptBo7By/VKY+QkGDtO/jCRb05/Dyog1A/D7V2aZ4crbHn4QRoJyWnC1rZQf7AwjwR40MXlZY0ctGnNKeuTh7wtxnZV0+x6afpLxf89tVL+PpNPha+nY+M2fPQSLRMF9T0RXQgrYCzOGZW0dCfq/xtVWHDL2tT7L021G/aitqZeTOG4f8LoE0W8Kq5M2Lt6dsWf42fm6rdSb3PPd+2Cx7cvulzXD6nF4eDb20BEouOFcA3bN2B5myNfL8/7ty6iU8nfodQUgNYlm/w0tJZd2/fwtDendHy5V6oXPcFCnxZxE99r34uWhqgIZEvbiLpTCQXbNIn7+HerZto3+N1NGzZFs3adpSCZjTn2ydazQTNCMhWEW4mCkUL0rhd+HPtGsyePRvR0VHo/lIXfP7BQFbCQgBsGcEWQmc8gs3pxYJqvHXfQXz18zLkyxqD79/pikwkukBytEUE29irKDbZH7h8Cz2Xb6adP0d4GGICAjG5ZgU63xBwoYPHdEe1ANg8ou2vkeudMywEk56rjE//OoA7ySnoUqoQc3aQmq38gtM9rbnqhS0oFBFVG+B/uRERvtofD8CK1941c710Q0FG7qzCPkQtnqQiOBhNXl8YJG2Je0ulUAhvFtBNyt3Q5zYHRg0fhlOnTmPRwoW4ceMGvps1h44Fa5RZ80P9B6TxJ9t0MC7HDzWAPFi2bBmW/farXFR1J4KobS0FUzRgLSLe7DoxJXtfpwQbS7rIinRAiXJdXPiPAmwyDmj0WoDsNKw4fBbzDpxE83w5MXbPEYQ5HJhcvgyyEJD9kLyHiZ2J3DiaJ0fz5bzsmAa0yeIoI9gauBaAWtEm1Vpt3h/9iILfodGRaPzhG/hfbkTMLLxGEzxYPouBCH7SDIwyI9gKrimQ4hYFNWP5sYiQYCSmpJhAPF0vkJmvff9hPDJkYLViO3V5kZbEe+uN3nQsjJn6A63xSubkIiXL0lxwXTRMTxvSxZHIHGUnxiwvR+hKikfq/VsIy5ZfGt+sDOWjR5I06lkVGaOGPX3dknoljhm/1hAS9BUQpeKCvDoGiVC73CLVSRnlBGQzjGdD4fLVMHvMx1QslEbA3SQiDgQQA46WzPbSvcNrQ83adfDtlMmoVaMq2nbojMjwcKxdNAsFcsUykE3YNlxIiLTmNSug99iZ6FCrrMzVFkJ4rF63FzaHvx9I5gHfChS0HwnWTTqX2hYciqg6/13NDp9zsNkQHBRA6+yyA0Du3LkxatRovD9oEGb9+KMKW8shzSMVGriTQYb0v0leB6+Far5x82YcOnQIU6dPp1/RuUsXaiO98XpvXL9xAzN+mM3rRauolJ42YaVzqz3rozevXEZi/ENkypGL0pb9Ko1rYNuIZsvSVJa8aq3EmLLDdMVxX4AtHpPfr5IHVZDGb1Tb5hvVFoBc2IPkoygFWUS2jcAM/xovcOHYQUwe2AMhYRF4e/LPyERAtgVgGxFtSam3UMZl097HgZT1vVLU1J9YGq+vTYFdkAMdyv330yesY8EREQP3vavK00rWbzm2LVFqGa3m67hPXrZvNPvanftYtuswfnmvq7KbtFKzVsHETtVKwuGw440fluHmwwTM6tseUeEh6Fq7HH5Yvxt9Gtcwnb+6HUZsLU1lXLzuG0JWSJu7gRAaGmKJaPtuOj4XTnZr2oYuUiiAtpHG6+OY8ndfnvJGar4DMczoePV4kZqSjMQH9+hYWDh+KK0C0m7gMKofkpiSRgOQYRGRrGqEFtE2K+GIaLYVXOtOZO24FClUxwzdIS/7W1EGkKzvOaKebW72vwq0yVY0SwT2X32AO8lsIVFRbJEZ/eiNLLZ/LJyN9q/1o2rJotavzfIZfsE236x96IUWbRGTKQs+7tsNb3VugZEzf0amrLH8z1h9xZjMWfDZ1Dm03FeRkmVop6S1uDXvJu1QOr1CU7lLTUqiuR0Hd23DmsVzEREVjcHjpqDXwI+QNTabVF0X4FrUzpZ7TU2cRbRN2jgB2ct+X4oZM6bj+fp1MeXL0ciSMZqBDncqBx9KHIpF6LTcXZ7LSwDE2r/24ttfV6FIzlhMeL09YiNCGbAgv4FSZK0RbCHIxYD2hjOX0X/NDgTZ7TTi/HpcQYQSyhmhxRL1XSEoQecdH5eLdq/1Mi3+m53/ucNhw+fVy2D83mOYuPMI+lUpQa8VjWjTvDMysZJSOzZEVHuBCjH9r7dSnVpg96QfcO/AER4VYH1JTJJybTH2CnBnDQvGrYQk5CQsBXFcLhBChZerc+qRbNFENJfkQXo9yJwxAzJkzIDFixai68uvoHnjBpi78Bdkic2u6hhrgRQzIvfsN43RaKGNA2vXrMYLzz9P6a2qbJcA2UxplNXM5qBbAm0RsdauCc25Yn9jRLF1JVOS905ZHs50FcVdyYwmfvt+PD5btwfZQoPRqUBuDPprPwpEhGNMieKIdNuRmsBBNqeJy/wjThPXAbYOtFleNY9UcOeMvj36dkjCpDHLNhj0OsJjGLj8X24hxSsicdd6uG5cMl0CEmyrKCXduPGsADgbG1FhIXiQkKyFwP1vpuoymyMSEhMREREpr1CbDh2QIXMW9HrlRXRv0xRf/jAfEZmyomTFKjh//rycj3VwLQA3m8cJ2CTrh3K03jm8BVc2/Yxy7/wkBxN1JDxi6VORMs2jzB/oEQud/unPYNKj7FalZeEAJpFsSgPngp0BHrtMTaCibvKzbIjMkh2VXmiO27dvIVtsLJx2LxW5VCwLFdEOCgyiqVoNm7RAibhiWDLnO2SNDmd6CDIXmyn1EsAdEx2FTFGROH3tNgplYbnb5ILaeJSIGkM8B1xeXL1uNu8TDGCLvqM8df6ud2Stxv8n1gWSFme3u+j1FlvpMmVQoEAB/LpkCdq0bq3GsVH72R/YTudLRM63kTphw649ezFu/Hj8PH8BqyXP71/b9h2RKXMWdOv6Ilo1bYgf5y9GlmzZjSCcVXTMt8oB66ck97Lt6+8YAFtFarVoqyWarSpdaJo7Fqe0HpVVETSVb+sPbNN61wQMkz7Cg5Bea1RbpHNIkO0/qk37I41gMhDAbg13inF2GBmBh//agO+G9EOO/IXRZ9x3iMyYyS/A1gXbfCP/IlJpis0ZEW5/9HKfsoQWQTivF+3L5UFUSCD+15stNBK2hBAgNTH9aLZlPTfBtOeR0ewPflqO4V0a0kCVoQnCvA7SkSs3rw3tKxdH1qgwvPztr2g86kcsersL2lYpgdZj5+CVehUpK8qMtrPvZTRxzZiTa5TZBJIxroOfCUv2b8s8rzuXfHL7dZEvUSGAj7HE+Ae4eu40PYPImMzY8stPcKWloVLjNrh3/QpO7t0OR4ADrfp9hC2/zqbBwqx5CqBgmUo4uHkN/dKC5aog6eF9nP57J1KSEtGoW3+smPElbl46h5yF4lClWQf88tUn9DxrtHqJMol3LF2AE3u2IEeBYij7XDOcP3oI927dQslaz2PZ5C+QkhCPqi060ant6uljyFO0JIpXqUlBuZVK7lvVioFph98ItwDuIn1EVcKh8ydlXQN5okOpnfmv9O9nWd7Lut1KTMWig1ctSt7K+6CreOseDPF88bRvUKZKDRQvX8n0bmi8ffojLJSDv9avwc7N69Bn0CeUEm7dzpw4ivd7dKJRwk8mzESpilWNiU9EjdwuNyZ/Phg3r11Gy649UbB4KaQkJSEyQwyCQ0Nx5fwZXDl/Fm6XE8XLVsQ3Q99FUHAwOr72BnLkyYeIyCiEBAf7lFbRf7sozyWAtnjOItlkz6jiDpsXf+/dgxEjRqBW9aro1+tVhIcEcaEnLnzF9/S5QRHne6cTyYmJ+HnVJixa/xeqFy+IXg1rICYsiL5GSnPRyB0FF054OMAWqtceAhqcTjhTnBi6aS8Wn7yAnOGhmFa7InIEhzARLw6wyT4hzYmPDh9F/rAw9MuX37fzCcPUoItrojcODWgH2HmzSYGbGYdOIzjQgVcrxBl1Uck+OHd+ZHltMMtX/j+w3Th4DHPrtEWg28UU5O02hBARu0AHAoIdtMxXYAgr70XKfJESX4Fh7PG0o2dRv3BulM+fg5f4IuW+guEICYE9NJTuSZSGNHsI29MWFIrlW3Zh9ZadGDn0A4RFRFNVR1JiYtT4CahRqxbty21at6KL8fTvf0KFqtVkKQm9BJ4wfvTHGg6QEWjrGFfK5uK4b+1uMrcZx/jfkH7fpXNHTJ08CZmiI1Xf5mXpWCRb9HsV3RaLsYxau/1Qw/UFWxzj4nJiz3QJeCSbAGxeL54A7Q0nLmD67iPoV7oodly+gSmHT6FGlkz4pHAROJxeOFPccKa6KF3cmeZBfGoaxj+4gmyOILQMzuI3iu00Ugt0YUf/UWr9Mcn3fwAX7tPmRCJcSIaHGpc5s8Riw6XjdG76v7A5b1zGnVljmTNEq5esl+NjY5yrRpM9VYsme1Y25eet+xEUFIT2z1VjpVPIYszLetmCyJ6XuHOwsl+kzy9ftwVrNm5Bp44dserP9fhwyFC4YJcKqgcPHUaPzm1pjt5nE2eiYJmKGNSjI96fPAeJpIyXk5X2ImJ1iSluuk8ij9NcSE0jDAWSDkBEGr1IuHKaikdG5FW5j0wsm89n5HfRPc+RJmCXlpNR6x+shrhhaFtE1vymX6i1RYJsuYZqTgP+3bRCBhXedCAo0E6riBBRmFD++O8/l6Jq3eeRNVMMwshxMs8G2HjZLxsCbcCUb77EyOGfoUjhwti2fjUiSHlGUuGCVrdIpeKb8ffvouOATxCXNwfG9OmEfUdOYvaqzRjXvYUx/rzplPdiTkYtGqVFioQ5w/qUvBpyC4jNjUwvD/w/sy6QvkaYGXoUNC01Fa1bt8KSJUsQSuZ2q8GuOKSPiWbrYSkFsonK+NBPPqWq42PGjqM2kjTSOdg7cugwOrdvQ22kyd/NQvkq1XzWA2tJLyG2RKLX165exv6/tqBGiw5KkEurB69qP4u6t1wlW6hla1Fys8yqBhj136nZb37tQstjnZ1i2GWaI81wUmllvUx7zrRZxfeS/vrnnG+xfMZXKFm9Pnp89g2CQpTYmDjX5MQEfP/xG4jNX5gCG/03y3xrnzrISuBM5uLykmh6CTAllqY+R58zCmcJx5TO5elv/b+wEQFS940zbF2XqV6CpUfWbLd0hIv12izhxUt8cZtA6K0s3vo3jly4iiFt68u0OwbMWcBi1YGTWHf4LD5tWw9hQZrTgd/TI1duocOEBfTezHqjPW4+TMSluw/xZos6bB6h5b3EPoCX8+Ilvch6ZJSfZOW+WJkvti6p8pOszFebTl2waPGvmlgXG3N6dJrspWq4LgZmUeIWY43c/2uXziEiJiuWTRuHsKiMyFeyPHLFlcGD2zdojfvw6IwUy6QkJtAqTRljc+LG+dNISYxHcFg4MmTNgXMHdtH1K3vBOLidabQMMXkta96CcKamwhEUojSw+Lrk9niw5edpWDdrAopWqYt2H46nJbz4RZbrkjM5EXM/fROZc+VD+Rda4MrJw6jRsgsWjhlMx07lhq1QuEwlH6aWPnb94Uw9f9sHR/LXI4MDUCFXBpnH/f9NRJtsWcKDUTFXBuy5fF/mZD8NBzVTbDYaEX7a7ZefZtCOc+LwAZSpVM3HS1SoWAlM/20tPun/Gt5+qTX6fPAJ2r7Sm02QnPpDztURGIABn42hC19SQgIunj2NTSt/w4N7d9Hno89xbO9O2psKFC2ObNlzYNTMeTK3wHAoWIGEtba4vtfysAXQJh6oEZ9/joSEeMyc9DViM2VgAmdpyZYa2MQ44RORANc8kn3u0lVM/3U1Dp65gPa1KmDRBz0QTKiJTictTSSAtpGLrVHESXMSmuzxCxi58xDupqbhxUJ58VZcYdjIgE52UaDtJUra3BiKT0lDgtOFcwlJXAhNuwm8s9OHevSa5ORxA9TmIcY2e6xSFZn4BBk0r5UqhLc27Ea9uw9RMEsGHvkiKTMByNiy2/8ZY4pssaXjUPX9Ptg7cqLPa5IVIfLULckxKS43QgKfcqhyb/7kWQsQHBKCfQcOo2b16tJyr1SxAvbu24d+bw7A+k2b0e2VV9C2RRN8PGw4uvXqq2xUTRRNUEmFmISYSI30D50+ZB3r8vdZNKr0lzXa+IUL5xEdFYWYjBlY/9bramp56AJgiwVXAG+Zvy4Wab2+pg7CNaBNxoCXis3xsWARPItPSMLI9XtoeGF45TL4bMcBbL5+C93z5sHL2XLCm+RGKqGJp7mRRhqni98hFCmvG5ddqUhw8FIZBGhb6l4beVTSmy2z5OW/BEhfRSpuIAUPKVy0IQMCacuBYEQgHKFwIDgoGIPXLf0/A7LJFhibCxHVGyFh2wp5TBrDOjCQ40KVdxKPbz9MoKrVAkDorxkJEFr/mvLdj3SBP3v+PFJSU336XFyJEli4agPe7tUN/V9shd7vf0IdptfOn0ZMrgKcWUSEwwgw9lCAShg2wjgnUW2h5RaRo6A0aOkmBoQoUyWeWiLZusin108UkNHKfY1mATTkldNqakuAr+dra8CBUMEDHMSQY9E+ER0R10asTyTK//Pk8ejz0XBWQtLugcPDcrzvxz/Ae/16Y+2qPzDw3fewe+cO5uT2uqg2BKHn2+wkLzsACSlpeJiUjBMXr1LDtHyxghg5ZyluPExCbKSIErFIk42GoNjvotEI+puIgczo41pYh/12MVAk8NE6gMOBDE1f+j+1LhB6alBgINKchJXD+mFwcDBVIV+wYAGdl1VUm4dOteiplcXnL1VCQ4DYsnUbJk2egsjIKNy8eRP7/v4b1apXZwBbi6gWLVECK9ZtQp8er6Bzq6YY9Mnn6Nqzj4r4ihJYWpRZT2tYOe8HlK/T0MjBfqzSuCWC7Vc4zVI/298mA9qPopHbLPnYIqqtUXJt6US1KQVdpC5yNg6NlnPGSuLDB5g7/F0c3rYOjbr3R5Meb1JnoUEa5p+XkpRAwTYBNEbJPy2Yq6vAi+tmRPZFoNciHqcDbFF6UMwhZC4b1KDo/xmQTTZbUAjsUZnhuXdNU/ZWUWLlPNcp5HoqGH9O13R2/NLNu5i9fjcWDuxiRJ5lmoHXi+kb9iLY4cD+89dQrTDT/lGubBtK5MyC9R91R4/pS9B01Cx81vEFrDlwCv2b1WIlCen5kb1OE9eo5HrE2+wFfpr/qLa+6Z9iBPz90MaFY+vXyaNw7+YNNOs7GE36fmgIC0bFst9MbeygQAQHsuAkUfjOkKuA8d0FKtc1nodlyUXHSCox7x3BNBXO6N/xD7B0/GCc3rURNTq9jppd+sJtdyApjVS9YVda4KGEh/FUE+XW5QvIVqQ0shctA6fXhraDRuPe1Yv0s47u2Y6/fp+HCs83Q+ma9REYGCixE10/pWNMBHVEZR0tn1uwUMg144GeuKyR/xrI/teBNtkI0D53Lwl3kwSF/Mm3SnWeR2T0/2PvOuCkKLL3N3k25wjLknPOSVBAEBWzKAbMYjhzOrOeOZzpvFPP+6tnzjlixIQCgoKBnMPmvDt55v97VV3d1T2zy4LoEerTpnt6untmequ66nvve+9l7fBnXnzjnVix7CcMGDbKFDctIy+/EA89+wYevecWPHzr9Vi26Htcesu9yCBpj4VFkMfQ6/UiKycXg0aM1q9x2KzZ0kTNsJSYpeHmJDRi4hJHtCVLKUt8pnmxP537ER588EFcecmFmLzfWCmDOPfqsQRnZMFjngAqWaRlEQ+HWNzDB18txLMffYX0JDfOnDYOfzt+Mn8QUYZx3YvNs1hHWkl2Rh7s91ZuwFPLVmNTUwtr0A+MHIyx2dmIagSbexsMkk1LZtSBv5V2h9fmYDGqJmidLC4umxFrO5tI2VkiHCLWvGOYyLYtyu7h1aMH4OavluDxwycy7xc9PDInHsIm87sbRl9xLja+/ykafl5ufkO2wEsKP3GPGoMhpMmW1u1Bj2+I4cEbL8cPv67CuOGDTQ/0IYMG4unnX2AUrqioCG++8x5uvvEG3HTtX/H9d/Nx6z0PICM7R8viz01PnCAYsjgRwGGKy9lOHKqtHXvFT3/2mWdw8kkn6klFjERnRjI0PREak30bxiaDbJut24bVW0oiJ+TizIutZXVn/cDwYtP2jxvKcOeXi3F63+7wRIFT5n6DhmAId/Xpg5HJ6Qg3hRD2h1mSM6NkEpeLkzT3RHche7JTWS458ZlOtNr4k5LHeiv82MiIdQjJcKAYXgxAOtKhJXY0Uy2G6df9BR0G9MbuhpSxU+Ff/RPCFVvkxs4gcwSxFuRRdI4t1XU4eEyWiVibyLaJdHM8cOct+GHZrxgzZizmf7/IbNjRnstFhYX4z8tv4++33YR/3X49RkyYzHIk6CRbI9jcCyzinMk7zQdwvQ9ryWiFkF/i2WYbgMgpIib4jOBq8tQEUlo2WZbrcpsmjZLGQbo+r+ZkfDdOvqUKGFoiNBcj2ga5l4+l39pt8Cgs+/oztAT8cDuS4Izy8xYt+B7XXDgH9XV1eObFV3Hw9Gl44N678cnn8zBt0gRObIkxa9Lx4qJCvPrg35DKBjlim2FcPPMgPPjW57j9lBm8TzMJuTZplWK0uUxXJELT+JNu0DDaP7/PZkNL8uhpcOb9ubWC2wNK7Bdmxj9j38yZM3HMMcfglNmzNQeARUJuJdtxkK2YfPvDj+bi348/jqeffhpbtm7D4sWLMWr0aEsJKmPinldQiOfeeAd3/u0m3Hb91Vj43XzccNf9SM/KMSdDk8pS0XnkwSJPeNcBQ7Q8E/FZr1uLzZbLcpkUHCaSGV9lwQrjvcRk26T21ewXxu+XjAk6yY6P1ZbjutnVbTGsW7oYz956OZPVUu4B8mabv4/+rdg10nMLcPptj8CdROGR1vh1o/xU++6RdL6cgTzBM+Pk0aXolpeK3Q229HzYmmsBf5O5FrZJNm5OhmYi2RLppuTDlz/xJu6aPR0uu6ioYP7j0+u7j5uCJevLMKprB0MZYxmRCjJS8dZlJ+Hm1z/HNc9/hO6FOfhi2WocMKgnZ2tk9BPxjbLU3VzLsRUpuQXtIklaCUw2L7aEF+heb973/P4AOvYehGlnTeXeb5qvS30vXo4ea+9XiE/oJ21v+e1HfPTANfA31eOwax9Gl+ET4GfldqjOlDmXCI1D7vRcHHnNg/CkpLISlLLSJK2ghCVNI56U26kbfvr8PbT4fPj62X9j8P7T0LFLD0MeTomiYxLh1jmXNqyI/CealLxbVgpSPX8sFf5DpeMCVc0BvP7zNkOyJpNPdiPMXl5x8+++9GxcfNsDSElN1YPhdb19G9Jx0w+UE1PISioJX3z4Lu66+hI4nS5ccfvfMW7yQXHHJHqwG05Ii+zVJBFPIFeweL1FmS5OtCmbONDS1IAbrr8OXrcbt1x3FVI8LlMNYBvzWGvEmsnC+X5ar1i7Af999zMsWbkOBw3vh+P3G4osr9ssi9W8dpxUcEk4WwcMD7avJYDXfluL99duZlP5BRXV6JeZjpv69UGR22P2YJNkXKsNLSeYMIx48TdPTIb0iSCTipNU1CDcJBVn8lFNOu5wGdtscTnw4soNcLucOH5QTyR17oaiC27iUp7dEFXLluPtycfCHQ3Dy7wZdiYZZ0uSLB2ntYttX/rlYvz9kHFIS0/h0vEkL5eOJ3m5fNzr4bJxXTLu1ZeYkyS0JFfiMlomHad9DheOmDkLr73+Bns4kyGSJkVvv/UWLr/oL3C6XLjt3odwwLTpUjIN4wEuHtKw0DsxeRcxrSbpuNTOExmbZEMTTZ4Pm3Eo3n/rDdgpUlmqj82NTEEpk75Qbhi1xBMTbLNHm7bZwoh2mKs6tDAJtmj14ale/OPzf8aSrZW4YkhfPPPLajy9Yh36pqfhum49kBdzcqk4k4lT/WLyZMd4zUdKBBI1YrNJHs7k4iJ2yuS5FneTP6RoAN0CP1aiCSHEGLEuRRIymH000ezaLCvvNHQArvr+TVZhYXdEqGIzap75O/PhMs+AXtZJ9HkuFxdr8n6SdJykdyfc/RSeuPJMJKemwuZyGbJxJhnX1ppknMvyjLZfWdeAq6+/CY88+hgiJB0X5dQ0CTn9fQLhGD545y3cec0lTNF03i0PoP/EaWgJRNAUDEsScr72B3md6gBllo8Yk1vBfmlLJE1jih1pkZOqMWg2k4R1hTUPlp5kUptk6ypi5sXjF9EJt1Q6MRHZdjrszDNPRgOSjtMzieTjSW4HkrUlxePki9uBzb/+iMHDR8IZC+P5h+/B8/9+GAOGDMODj/4HPbp1hctO5VvKcdklF+OVZ5+CjbIJywurcuFHLOBnCdJE7fpjrr0PD547E4VpSZp0XAvnYP1UyMalJJCmbMFWuZTZM+TI64CMYy/YrbzZ8RLygDGnoCopt92KcePH44D9yYsk19wVTgDB8BJMTPiGHqP9zDPP4rPPP8cjjzzK1C2C1FH7MWcMN8cJiwoZH7z7Fq677EI2R7r+rvux34HTNW+ZIRlntXejMaxdsRw5HUpgc3o06atUy1mSPoescnFtW48tFmONyQtujm3eHqzScd0ZIiU4TCQdF5JyfWySqw1I4RhiOxIKYO6TD+GLF/+DTn0G4eQb7kNeh06tfi9DiGFO5Cbiq+VM4YZknEvBDcm4VhtbW+tycemexnu0Y0wy/thJw1h/3x0RC7QguvlXFiKmK9JkybieS0Uo0UKWsDBuTP+/j75lJb3OmzZaI9/GM9OUpVxWRyRSXbLntjE+vbNkBc77z1vsHj95wfE4ZGR/PaQJ+pqk4zReaSFNbk06rknI9TFJHp/YmqTjJ+rScTEvE97piPRaH68i5nrVcr3pxfM+Rl1NDYYedJTe32httC3+o00/XxBo6/2Q/0byccKuoG2HgwEsfPkR/PT208jr3g+TLrgd6ZLjy9QnZZWvSCwq+JHUz+L6pDaXLFu7HN+++Ry69h+CkdMOh9vtict9JV/fui8ryYXxXXL+UG824U+ZgeWmeDCsQyYWb603Tw8NRZPJAcGMjtEoC7JPTkkxyUn5aTt3U+R5jG71BjBp+gwMGjYSd/z1Elx99sk4+Ojjcf41NyMzO8d8gUREW8qIt71YVDkwP45c6MH6MSxeuAA33XQTrrr0Is2LHYIt5Ofkgnmtg5rXOqCtiRD48c68+Xjqvc9RnJ2B2ZNG4qZjJwFhinMLIdLcZCbXTCYrvHdCKktEO8ySDD2/bDW+3VqBgVmZqGkJYFNzC87p1gXHFxdTT0ewiSZCWkx21JL0TEwGrb23VaKtLRHuxabEZkSi+UPRbpRNtcwh+LkxHNOzE86e+x2OHNADJcedvduSbELugN4Ycvk5+O2efxoxIq0kgOMTcjuTjid73FLZG5GlPYFU1oREVlRDb2SnJDgsEznPQktnHzLjcAwZPgpXXvwXzJl9PI487gRcccOtyMjO1k8XMvJdDcMoZsOypT9i8KBB/HVUlMrQvNh6ojMx6GokW0teZgy+iQg2H4Sp/bPYT3k7LAxNhlS8uq4J18z9DsNys3Fit1Kc/fG32NjUgjldOuOY3EJE/REE/CEuE9e82MyTHaWBjgi2Rtw0DzYbIONisOW/F9CCCJajkUnDO8CL0chCCjO/2eJItfyvDKfbjVOeune3JdkEV35HpIyZhpb5H+rPUnP4hNVLzd+jiYI/FEZyMsWD8XrAcYsYSCznEpoam5l01nzPBDkzrOKTD56B3oOH4bJTZ+L+y8/G+EOPwRHnXw1XcjqLq3Y77AgSMQ3bEXbE4KRJDD2/RAEhyeMoDLLbcbrziYueVdicXVifLIt1JIL6tUvhze+M8m9fR0v5WrjT89BxyhlY89odjFTmDT0ISfmdEGqsQWqH7nB6kpmlV8+UTrLXaAyOiB0R+u56QinZ8EVx5FG4nRQPaMeHLz6FhqoyvPLofdi6YR3Ou/J6nH3+hUhyO9nEkM7LzS9gSb2++Opb7D9uFGwOTXlCBi7ajnKjSSzq0ibTTlxz8uG44em38fiFJxqeIPJmy0RSayfM424XUk2zjNjwZmszBbsDaVOO321JtpCQk2ebSci19nDqqafihhtv1Ii21YutebYJcdMhY7JEzxhSxG3avBmP/+c/sNu5hNkISbCKV42qBkayzhgOPPgwDBw2EtdfdiEuPv1EHHLMLJx/9c1Iycwylx2MRPHUPTfh0geeMEuhW/FOm9q56ViL11mE1FgIavvAByxZGaB7g611teV7sT2vtlYubP2vP+K1e65B1Zb1mH7WpTjguLNYMiluiE48V7USbNk7Lf8y89BtHimsZc64yjpREjljIRHJNdP77LYkm2DzJMOWVYhY5QZT1RDZk23EWUcMabkuMY9hfVkV3l/0K1669AQju7hGsmVvtum26tMjviGr9nSDXiyGGcN6Y1SPEoy+9hEcd+8zOHHiUNx+6uEsyWxrSdBMmcd1yKO/4a6gOR/7HWLcEvMu+TR9M778mwgfaG5qwKcvPYHTbv+3UelEitsWqgfRTvRLS18zYT8zhVGY23DFqmX45vG/oaFsEwbPPA99Dj6JPXNagmET7zIItsSNNIOXiUtZiLVumNa2czv3wpGX3sL2ffvuy1i1+FscesbFKO7SjSUnFaWQ2XmaJ5v2kVCWvsPg4ow/nGQT/rRZ2JAOGdhY50OdP2TI60zqQM0rra0pS93Msy804tnE+7/znhj11aS4J5KSFxTg7088h/defQEP/O06fPXxB5hz2dU48qTT4Gxlsmqtk603GhPxbo18G9uiTjZl97v99ttQtm0bXnr6CWSnJfPagpoHz6aRbJJ988QyAQRbmvDEmx/h9S++x/Th/fDEhScgzW3nWZOJXAtCTYSbvHSCWLP9ES4Z1/ZV1jfhvz+txs9VtZhWXIBcpwuPL1+DXqmpeHzgIHTxJCHcJGKxBck2l+/SJYzbMzlLE2tTGS/mzeYkm5NtmpFLp0kEmzKMRzX55sFdO6Cq93D0LeLxJrszBl06BxUffYaWX5brE3vODWSSzZNCVQeCyEnhhMJKwqVCvua4Hu3ppw8q+k6+X2S7LCwsQNm2MhQUFcsqXRQUFuD/nnsJL7/wPG69/q/49MP38Jcrr8WxJ5/+h01W5b5IP+W9997DYYceoj3FtXJd+oBrSMdFVn2u1tD6h166TiLaGsHWX1Pbpz7ASDbJzPhr8mCLGtkL1m7F37/5CWf064Z3V23Cbd8vRa+0VDw+aBBK7R6EmikxIIVWkFQ8An80Br8mFdc92VLSM6Yc0LxEiVCJAJahicnEeyMVQ5BOTxjz388ELjNOhN1VMm5FyugDEVz7MyJVW434ZdHHDYZqWn5YtQkjenfRSTUj2/piDf5nwQ6SXpvKezUgM9Oc+0OWkdMd58ZPG6sU8Y9XPsCdV/4FS+Z9jMXz5uLgMy/B4OnHMbLNFqcdLprEULw2lRrUpKdUm1P+s5kl3NKiva9LR61ebEGuNU85PRubytZhw3v/Qmqn/nBnd0LhxNkm73nXmTdpHuEggo3VjJCXffs6SmdchJplnyGluDvSO/dnhIByYVBNbAdVa5CIF/e4RwyiHY7CX18On68F9142hyUHfeT1uSypVozqceuEizQKNlxy+RU487RTsN+4F3mmcXsEcGh9N8IzjzPvD6upzWO1C3Oy8PaCnzFjRF9p0moJqtDJkVxex3KIZGDxDpsMR04hdneQKitEzyjtmV3coSOam5pQV1enlaNrTTKe4Blgs8Hv9+PiSy5F127dWNIz2meKgbbEZZsXOas9X3LzCvDQUy/gjZeex303X4t5c9/H6Rf/FdOPm42Ijf7+MSz/6Qd06TMADpebeVoTZxqPj802lyCKl06bpe3bl44b98G4X6y9iOcCs1NoWcbjpOPG76bJemux2pQIau5//o7FH72O4h79cMGjr6Ooa292LfotFLPdWsmORN5s/TeZiJRhADG9tpBs/W9qqcNtXJ+/P3tMl91SMm6FLasDYvUViLXUS2Rbyiwulec0gtoNKfmVT72Nu2cfrMXiauVQTfMi2Yohw5gn8Vaj5ZZizxij/ltBZhqOHtUfxTkZeODdr/Deot9w/QkH46xDJsBFCdEksq2TbHF9ayOzjO0pycloaWmBNzmldReK5SeY+q421/C1+DHjnKuYRz0YoqonvKQoreWM9LpRS2bYFmOTvDNRu2upq8aPr/wT679+F5mlvTD5hqeQ3qEbAmE6yQgbNZQl8coQ7nw0K0z0bV1dEl9eUyQvHH7wseg6eCSWfvs5kjOy4HK7kJqabpKLC5JNr/vmp/9pGff/FOm4QHVLEO/+VsatNlbpqHxzAcx773UM3+8AZGblmKTifOw0k+72Ssf1c+X5m07jjdZcV12Ff919K9588Rl0790XF137N4zab39TEhtxbSN1vPn7m/cl3mY1sbWSXct//QV//evVOPv0U3DkIQfp5JrLxAOaF5skd5xgk/Ru7jcL8ffn3sZxE4Zj1n6DYWex15Q1nGcY173XOtHWYrHZPp7Rlda/llXjuZ9Xo9oXwFElHbCqth7/t5rK2thwVkknTM/KYwnPIlosNhFsnWTLEnEx0TPMYa03BrkIvZThk0nGSRIu1rpEXEjHHWzb4RbbDi4n79QV3a+/h3ny9gTU/bIcXx46Cy5brBXJuItlHp+7pRwtsRhOGtkXDq9bk47zxU4Z7SnDsoekSV7YPYZknBa4ST7Lsy8zGS2T0hqS2jv+/gAOOGAyho4YyUr0iDIQfM0f1hUVlfj7HX/Dq889jR59+uKS627BiPH7m6RCv0c6buQzMJQddN5RRxyON159CQ6aspNEnPoBk4vzsAnRN5jsVDM8iW2DaFvlp8Y29QOe/EzrB6wvkEc7iJAviCcX/IJFmyvQIz0VT/6yhn2vOV07s74QpWRn/giCgTD3ZAe5F9svCDaR7Ta82II2CH9HNYL4AfXMa90faUiHq12aHau/RLzuNLT/bi0ZtyJcuQV1Lz7IJeSaaoP6ukk2ziR5XDZ+/bPv4cj9RmB4v55cNi4keUwyLmd3tWZ19bA+8OmX3+Dn35bj3PMvAEWLCYkel7kaMnIhv/OHo9hWXo7ffv0ZX33wNr5880UUdu2FA8+8AgX9RvKM5IEIs9pTkhfyHoRpoc6k9w8tx4GcjEw88ySZc0KSLaTokSgjzOUL30eXIy7n0nRtYmUYOPln6ZATr2mf76/agLrl38Dh9iBn4P7sO3hzClisuZNCWZh8nEvHmXzc44TXFsZvH7+CL5/7Fxwkb5xzKaYeMRN5OZk8AzllKKcqCpS1nLKXM4+/DY//62GkpSTh9JNmwR4xpOMIURZynok8RvLxAEnJfUzFduQ19+H/Lp3NE6OJ2vZ6giMRZ5nImChB+632nCKkHHr2bu3NlkEe4ZZAQJ9cv/baq2ior8cZZ5yh9XVJldQKyLBUVl6Gs8+eg3PPOw/Tph1k9tCK0pJtSMbN5aQMj7WQsFZWVuKRu2/Fuy8/i849++C0y29Av1H7sbhJkuu6U9KYtJb60Y5kGpfLUhmeb0v93x0g2nJ4n8mL1sok3yod18coKcM4ycQXvfsC5j37L9gdTkw94xKMOHgmN1pZ5pit/42MP2NrpNmQz/N2kSjzuC6/N91HQzZO5wnjXPfdXDJuRczfhMjqBeZQMLGt75PzsPDXL325CJsra3HJoeOMcBP2LDaeF0bYiUwuzRUMTMoqEXajOUBo+eTnNVixrRrHTxiCv730CZ76bCH6lxbh9jOPweQRA2F3uszVMLQ1C+UzZRynuZkhHz//4stxzbXXsrJ6TDouZ+zXs/3zMYrGpkAkwtc0B9GW+vp6fP7GCxh7zGncCaAlZaWxiYi2HoYg5z3QeT///bJRTr9D0jFcJu7Dms9fx/J3nmDjdJ8jzkHp+BksJ0dc6TIYOYiskm5TX9T7XQKibSmvaSbbdv09kpS/+Y/bcPDpF6DP8DHGfFTrzzkpbkzrmf+neLMJf+pMLCfZrWUh5xJyk5xO9maHgvj0jZcwacbRcZ7nXQX986QHonhI5ubl4YZ7HsTRJ56Cu2/8K/5y0tGsvMW5l12DEWPHGxMX6fztkWrrtiDZlCL/7/fdh2XLluL//vUQivOz+WREJtlsMiImJX5s3boNV/7jv+iYnY4XrzoVKZSV2+/jnjiRNdwkE+ckQniwaV3X7MfcNZswd91WFCZ5cXRJMX6oqMHNi39GbTCIQ/ILcFp+MVJjDkSaQ2ySJ8ceJi4vY/Fit+HUFpmr2WSIpItkLWb1soXF2fIHF8YNrQxYNMy92jZ7FLbUFHQ574o9hmQTMvv1Rv/rLsOqu+4zGxSEkUHz7M9dtwW3TB2tPdx5uSPh3TZ77oQ1vI0q9boxhP9VkpOT4fP52vyeObm5uOXeh1hfuOO6v+LcE47CkJFjmNpj6OjxcQ/T3wv6OeXbtqEgP5+1CZsuG5e92pJsLCp7tLWF5SsQr/kAzD3XvC/oBFuEUGgGJ3pdW9eEqz+azyScSytr8fH6rTi8YzHO6tQJyWEqQcE92EGqi83isSWSLRFsIRdnAxlNoOPKMMVY3PVC1CGIKMYgE2mSdEM2XohKCMY7hnFQJtu09qan4fTnHthjSDbBmdcBKeMPRcs370hhEYaCw/BWO+ALhfHT2s249ayZhmxcW9M54slu8mIzWaimFbPZsGXrVhR36GD6DnIrFmfJ8WFJ3mS8+9SjuOLhZzD+8OPx3L034emrz0BJ/2EYedx5yOk5FOGInUvHtXq85NnlIdP8tTnzNx/tdAebnLU5AcGmde3KH1C19AuUHHSu/r6RHM2cFE3+MUIZID7blVmC/LGz2KQlULcV2z5/Cu70HJROn0N+Vf18+u3Uh1Z+8g6Wvf0kfPU1GHHIsThizuXw2KN46PqLcd0/noST1eOm5JR2/VnOs70CZ5w9B7NmHoMDp0xCp8I87nkirzZJxllSQx4CIkr4UKbye86dhYseeQkvXHU6j8vXfwgNmHSOUS/ZyPBr+c10rNuLpInH7jEk25CQUxZynjx2+vTpOO3UUxnRNqGNCeJXX32FO+64E/fdfz969uxlItnG5Lk1ki1Lt631eY02SokyL7vtPkw79kT889brcMNZx6PXoOFIzcrBRX9/XJ/Am85vR6bxuMUisN0VEJJv7sm2eLUTeY01T3YoFMBPH72Kb176N5rrajBs+rGYcvpFSM3I5uGOMmEzPaUTfwdtw+x1thBu6bA473erv0+3xRg5csgYdsMhffcYkk2weVNhL+iGyCaK1zaSnsmlO60J0BpbWvDUpwvw5lWzrbEHkoGOX980VTVuWoJvohkxuYZcf+6M7lGCp+ctwQWHjMfD5xyN06aOxRVPvoUZ1z2Ecf174IbTjsLEESIJrfhE87ZeS1v62PT0NDQ2NSGvlfsi91+9T1sy+y/49D0kZ2ZLeRG0eH7m1ZaMXnIOBCEft8Rey/W7xWviGRu/fhtrPnoawcY6dBx7KLofehZcKRm6FzuR8MamO0w1J2WCPAhyzpI4yTgl7LTbEKWcItoYyxct2Z02ehd07YUzbn8U373zIroOGMpKgfKYKbDEeGNLs/80kk3402dj/QrSUesLYX1NixG7ZvJWAyuXLcGkw46RahP+jhvS2qmW0D2zp5tPawcOGYZn3pqLrz6di3/eezvOmjmDEe1T5vwFE6dMZX94OcnG9gm2IS0nq8qypT/h+uuuxUmzjsPVl5wPO8ViE7EmbzaTwRqJYxDwMzL937fn4pVPvmExIX2LsxELBBH1B7TETVopIjmLuJDIklXLH8S89Vvxwdot8IUimFyUh6v69sDcTWW4aP5iVAWCODAnFyfmFqHQ5kLEF0WQPOQieYIcVyXHdu1QvJRFhQCamPHBjK1ZlvHERJvOIdk6n4Dzet0xpwMdz7sCnqLdL8v49tD1jJPgW7MGFR9+EE+2nXY0EBEkspuWrCWJk0g2q7lrNZuLB6VeTK91xGKsjEwgGGzXdx0weCieefsjfPHJR/jXvXfgnOMOw7DR43HCWedh9AEHsriinYVVHvXJJx9j8uRJWv1YjWBLZFuur6l7qcMJ5OMsf4FQdFgMTlayHYrg6zWbcO3HC1j997pAENM7FuG00hIU2tw8m7hGsgPBMCPanGDHmGSceT4lgi3k4vFx2ByUPfwnNGAo0tEBSQnvibFtftXqcXY7znjhIRT27o49DUlDJiBSU4bQqsV6WIQg0rzNU8ZqO57++DucPHWclslak41LJDrxIsVsA9i8ZQsOmDRZ/+xEPUWEdDALedTGJj/9h4/Cmp8WoefA4bjq8dew6MtP8f5/7sdr15+BDv2Go8/0E5HdZzRiDrvuETTUPlICGC0JmRh3dGVIArk4PXuDvhZs+fx5FO8/GymdBjGCzdRFFjm5LH2Vf4fpszVtPIvNpt+WVojSI65GoHojAg31qFu1Enn9xyHka8TGHz7Ehi9eQaCuCt33OxjjZ52Lki5d4fQ4keRxoLBzD3z/xScYN+lArSQleRNiCGkkmxaX3Ynb7rgTV1x1DV585klGshHjcdk2Wov+rBFt6uf9e3TGlGH9cfdrn+CvM6exsYF974ghnWaKXBHPapWOc5kUvPsdDUdGLvY0kIScsnZTLduUlBRmECUPcn5eXptzoXA4jDvuuIO17xdfegmpqWkSyTavde+wIJ6SRJnWekbxBJJymYj3GDAEdz/3Nr774hM8dus1WPHTItx+9nGYesJZ6D1momZwajvTuC4TN0mlzXLx9unEtw+RN8FKsvVYbZOql8ditzQ24JdP38Cit55BU00F+h8wAxNOOAc5HTozAiDK8pkzwkvOh3Z8JyvJlks8Ggcaf592X1ObC9xwaF+U5qRgT4M9rxTR5jpEy9eZyneZs5AbBPye1z7FxYeMZyE9rKEhXi5uxGlLzgftuDYhWUToGqleD0tgSH3VHothWI8SfHbnxfhwyXLc+tx7mHbZXZgwuC8uPvEwHDxhDBxOq1VFtqYY+9LT0tDY0NDm99D7qS4dN/oXke3KzRsxYdY5hqpEj8/Wkhdq+4RKQi+dl4BgyyEIweYGbPvufWz64mUE6qtRMOxAlB54Mry5HZlAnJXxlSCrqUzjkaTmMiTiljr2Ccg37dfJNdtH5TaBqD3Kwk6pJ4rv7/AmY8JxZ2DFD99g4QevY/Y1dyIpKQn7dc9Bxp8kGRf4n7g9xnTKZnK7mpag2TvMpHNRZObkYuDwMb/7c+T4tzgyLcnPrSSbUQbBYWw2HHDgNOx/4FR8/tH7ePyh+/CXU45Hp85dcNIZc3DMrBNZYp2E0liW2EAuls4fei1Njbj1lltQV1uL/3vkHyjKzdYksVqiM/Jmi8ys5MkO+lFWVoa/3PM4RvUsxatXnwF7mOpftyAa0Ei2XO+X1b/mmcOJbP+4tQpvrtqAzY0tGJuXg4t6dkODP4iX1m3CbYt/ZfLWA7JyMKtzEYodboRDUfjCEV0qrnuyrSRbGhzb/DtY/iZsLeq0snqWfLJJawd5aRCFg6WFo73GH9Bm4ySbxYdrydM6zDoFaYNHYE9Fn5uuRqhiC1pWL7dkVHfg/dUbcWjvzlxGyyS0gljosQu8Jesx2lrL1rZZ8hc5e5xswaNJscPJJmftgegbE6dMw7gDpuLzue/jyYfvw2VnnIAOpV1w7ClnYcaxs5CaTkmmdhDy12JE+xPcf+892tPeKOMh6meLTKTxC4/LZt7roAifkIi2Sd1hbP+6tQqXf/AtVlTVsVs0raQIp3UtRUenB2GfINhURz5iJD3TEp2JjOKMbAu5OMsoLkmvpJ8a1bzYEcRwEPJMInHZOx0vDG8d4vpH3n4FBhx8APZUpOx/FJqaahCt3sLaOjMmUWJDjWTT5ODt+Uvx9u0X6/tMMdoS8eYebLHmbZ89cWw2bNy4CSUlJRb5qfkpZvq7aV3nuLMuZPWf6YXL4cCgcZPQffgE/Pjlx5j3/GP45N5LkJbfEd0mH4vi0YfA5fKyGE/hpTbIrrE2RCbapMZEtKMItjRi5Qu3omDsTP78FVJQ9kzWyrToYTxaUkrZQ2LyaAv5I5+kiMzjZBhwZdH9CKNi8SfY+uVLaClbw4xYRUMno+9hp6Kocw8keZ0sszora+awYcpJ5yDcVIvmQBB2m9tUwpJGPDGmduvZC0OHj8D//fc5nH7S8XCwWG230b/Jw+3UPFPaLOnsIw7EVY88h39/+A3OPmgc7w0a2TYmymSA02+g8ccjgj9oEpwdemBPhcftgj/A/6aHH3EEXn/9dcyZQ4oDDlnfQliwYAFuvfVWHD9rFq697nozWbXIxWUy1xaJ5snH5HHfSLQk4kBFwq9hE6bgmDmVrArGB888jocuOx15HUqx39EnY9hBR8PhTTHOl73Z7PFuzqqfMDbbss05VKt6ubj7Y3KvxaSkZlavtsSBarasw08fvIBfP3sLkXAIfcYfhLHHz0Fep648dle/j5xZUwwvU+rtoE0gnmBb1IL6PKtNP7bxt7a8c9b4rhjT1ZLYdw+Co1N/xBprEK2r0J4R1oRofH6wvrwaq7ZV4ebjpujScLPaxTDMidfbAzdUaEn0hIRMnEqGpqJcrCmvQY+OBfp700cMwPTRQ/DugmW458X3cdQVd6Jbx0KcN+sInHr0ocjIyjJfyPzoQlpaGuoTEG3jDCNMSMTi87JefN1QW4PxR58Ch9vLSo0KibjwaFOmcgptCmkhBqaKFhaDj7gHzeUbsenL11C28EM2LuQNOgAlk09CUl4J96aHLOV7pR9k00m2lH+FxintNY1Fdirnq23TEmEycLD9RLANz7WNle5yxrgxO8oS4PGxnZNsjXALLzeA7sPGMUfQ64/cjfvuux8lmfGOjb0qRlsGeVTnrqpEMBwx9Pg24JM3XmRy6kNmnarHOnPSYPE+bydGu02SLRKYiZIrFk82fQ/jPCm2QNv306KF+O/jj+Cjd99iEs0DDzoYRx57HA6YfCAbIE0ScWmbHgoffvA+Hv7nw7jykoswZeJ+rC42I9nCiy3iTcmLrcWuvT/vWzz00vu464wj0LcoBxGyovn9mhc7IHmytRrYgTBqGlvw8i9r8O2WSvTNTMfBHYqQbrdj7uYyfLC1DL80NCLT6cSM3AIcmpmLzJiDEWzRGeXSEJG2SDbV6UMMfibb4PvIwJBis8NFE1/xN5BJtv6ar/XYXOYRkSxaFJPttLHYJ4rJZvHYFJvtprUDedOmotsV12BPR7C6Gr9ccA6ijbU8VtvrhM3jwlkfzceTMycjKSUJTq8bDg8tLjiojXlcPD7b7eZrF8Vl02te6iu+vBfF//BFxK7e9/CjGD58BEaPG99qjLZYW+P2RJtY+sMCvPTkv/HZB28z4r7f1Ok4+MiZGLf/ZHg97nbFaLO/t7aOhoKYdfxxeOu1V3gCQEaeaU3xnSLjvhFOwZaAT9r2I8rCJ7RFKmGne7HDYVTWNeOdn9fguR9XYGV1PVJdTpzUpwuO7tQRWTYHI9jcix0y4rGJaOv1sbk3WxBtWnPPtjaZlGKcBKiHfIMaZMGF/kjfYUIdf6zBpkaeeAROf/YB7OmItjSi+b1/A4FmLVTCoZdN+b+Pv4Pb5cYph+wPG8W/OSg+m5dREaVT2H5R1stU3ovHwLGydsfOwiuvvoooS+Bk02OzTaVUtDhSUbaI4tvob/vwrddivxkzUdCtNxvDxNIciGD10h+w6K1nsW7BJyz5V+Gg8SgaOQ3ZvUciZjPHb8qSOt3TJ3mxWYmegJ+XWazeBk9uJ+7J1kopGtJyEYNplL4y5OOGK103xmnGCFbaSyPb0UADGld9i/rln8O3dQXsnmQUjT4CHfc7Eqm5BfB4HKzOaKrXiRSvE2ls24VUjwO+6jK89eg9uOLufyLF7WSx2klOO7x6rDZfKNfCycfPxF23/Q29u5bynAtauS8Wq81Co7RSX3q+hSAuvP9JDOvRCbMnjzKSIkn1afn0xdzRHKV94R01A3s66DnrDwQQ8Ptx7LHHstKL8hhKP3n16tWMYGdkZLAcLwWFhcaEPIFcnJM5I0u1NS7bXNbLPAaImGE93loYFSNRbN64AY0NjSju0ZvtW/nTD/jkxSew5PMPYafYzbGTMXDSDJQOHcf6goglJuOZNS7bUM8ljs0WhoC2YMq/I9ml24rVpol9sKkO67/7GCu/eh/lK5ciKT0LA6fNxKCDj0N6DsV0msu3WsuG7ZQa1UqwZeItYmG1xFV6CS9tMWK0jYzSrHyTdl8P6JGL66b3wZ4OGtuDiz8EWhosMdlGRZFz//UyzjtoNPp1zNdLd/FEvYKUGzmFzPrxNlQTor+ZwpnIAEwNwIFnvlqC7PRUHDZmIM8hwkpQ8nGJl/hyY8GK9Xj4tQ/x+mffwulw4LDJ++GEIw7G1P33g4vqp2u5Q8T49PQLLyM1IxOHHHa4HqOt5w/RqpiwHCKRKHyaU8wv1uEo3vnvo8gt7YFOg8cxw6ix0NyFEreKOT5vM9FE4UcAAo11qPzxM5Qv/gSNG36FKyUTBaMPReGow+BK41VoxH1r3eQlxh8L0RbycV3dJQy/Rv4SuQSfEYvN47AFRyCDL/Nqs/KU2n6tVKXYR+Urad03PxXTehXgf4H/WSAfDcj7dc7GvDXVzKLIjNXhMOa9+zpuefyFNsSS28f2SLZB1OM92a3LyY3jho0YieEjR6J821a89erLeOOVF3HGicchOycHUw86GFOnTWPSxMwM8nRzcrFq5XLccP0N6N+3D9548VmkUO1jQSS0BE+QJx1BPwKNDbj6H0+x8lyvXH0avIgi2tKEiM8g2FTjN8yINifZG6vq8MRPq7CloRlHduqA8X174NttVbj3x1+xsLaO3ZOR6Rm4tlM3jElOBzkSwn7qhEFEqAPSQKolb+IxH9TRo6iIhLApGsCWSABV0RB8JN3V7rKHkunArsmnWHQGfLEom7TSf7Q/y+5Evt2NIocbRXYPMu0O3dhBhePFIgYZMjkT+eKekShsLCabJpnk0Y4huUdPdLnocuwNcOfkoOfNt2HV9ZfDboswb/bX2yoxulMBJ6siNlt4tOnhpJ8tZu1yzLb8WjrG4tVuaGhAeoY5+3Lr0Kz2lr0Dho5Av6Ej8JeymzH3zVfx4Rsv49LTZ7HSeBMPPAgTJ0/FuIkHID19e5/Dr7zg++8wetRIo7yPkI3HScXCWmynEd9J3mw9YQqric0XnlU/hHXltfh0xXp8unITvtmwlU1EClKScPPYQTiktBhOil0i73UL1c4OG95slvQsasRkS7WxTdnFtUFQK+5k8jtRb/kC1SiBFz2R2s6nm+SWtFxPFtuXjhiEk/9zJ/YG2JPTkDxpFnyfPM0jrclz7bCz+/7610vwzh2X6jLyeE+2JhOX5eL6wveziYGW3yChGieetxnjgy2G6TNPwpvP/AenXH0HXA4bIlFuWafJbud+Q5DbbQCqy7dhxVfvY+3X7+OHf10Jd2omcvuPRR4tfUbAlZwqzfMMKaIpPjscxprX70Pe8EORXNSbEWw9GaUlfpvHadOzkccqCvLJvTG6bpxPFLV7FWiqhG/zEvg2LEbLlqXsu6SWDkXJjCuQ3XccapfORe2apXBnTmK30k+TGDapsbEYN6eDe7ZTcovQsWc/vP3ckzjy5DOkBIe02A2js8OBe/5+Hy6+8AK8+fLzcJMBRM+7EAFcXNdkYoQAHrz4VJz39/9jE8PTp45lYwHVexS1tE3ldOhPm1UIz/Dp2BtA985DsYWxGI455hjMmDEDxx13HI466iim+nn++ecZwb7mmmvQo2dPkzScECcbN5WRaiXbuFacTpal8m25tjN/z8gSDnzw4lMYNXWGToI79x+CU29+CIecuxULP3oLi+e+heduOBfJ6VnoNnIiOg+bgA4DRsPuTY4r+xVX7ioByW7LoW2zPC51/sRe87mFXKqroWIzti79Blt+/AZbf17ADus0eCymXnInuo2cBBclHdWUKcy7Sd+RjMKaCJ2eNNR62fNKd322H4kItnm7PbrBePVUr/xUXHFgL+wNIKeBq99+CC58L6E3e+WWCoTCEfQvKdDDaBIGbcUS7Wvjg+l4IT3if1ztmc3/3r065OPL39bhMJOExDyAjOrfA6MH98OWS8/Cix99hefe/RRHnH0ZcrMzcciU/TH9wMmYPOkApGVy1QH16Zr6uriZgf7NE+RZ0MvrRWNY8cN8DD/sJDaXl2uwW40xLFZbJtrRGHzVW1Dz2/eo/e171K3+gX1uZs8R6HHctcjqM44ZEFiivmDU0g/bUJfYJTWVHj7F+0k0Ku8jTzcn2ix2W15idjg1D7bs3WZebNET9VhtIOagJ5kWhkoVdtI8mNyjtaj3vdijLbCpzodFm+vY4ExEO+hrRnpmlons6rHccfJvzTpiIcJtkWyCqSi6nMlcT2xm9pKLcl3GtvWzYljxyy9487WXMffDD7ByxXJWEmzs2LEYPXo0Nm5Yj+bmZtxz+63oXNJB82KHNJIdYt45OekZZWHdtGkzzrvzUZw+dQwOHdqbebCj5OFgxDrAyDYj2PTaF0RDkx//XPgzVtbUY2BmJipb/FhQWYMNLS2sfNjA1DSMy8jChLQspMHBs+JKC03iWGckj04MqI2E8HOoGb+EmxlpzrW7UWxzo8DuRo7NBa8tPsGMzukkSiDWdbEwKqNBVMSCKI8GUR8Nw2Ozo4sjCYPdKShweFgboO9KBJsmcRRnw6xSTs2LzbKNO5BUXIAh/30Cntw9L/6uLdR+8wW2PnYf82if9/H3uPvgscjPTueebLeLebPttHY72dru1jJZCk82ebFdkkfbQx5t8mB7LJktueX0gsuuxBVX/RWFxR2Y5ZQe1sKCKows0e14tIXEkCD6wprlv2LuW6/iq08+wtpVK1hfGDZqDEaMGYehw0di6PDhrFyN8G4zqyOzXAJ/u/F6HHXEYRg+aICeq4CXtuOZ90XOApMnOyCyFpM3m/oJ7yPrtlXh+5UbsXDtVny9ZjNWV9UxktArNwNNgRAuGdEPB5YUMgVIOMBryBOx1kk2yy7OM4uTFZh5NWWiLZFt5vmkhDlaXUoZtIdIdhckozOS20mq2yLYxr6MonxcvegdZBb/byy1fxTCG35FYMG7PBmW04mH3/0SeVmZOP7AcbqHm3kO9G0t67jm6TY82Wav9sZt5bjznvvw4D/+oZVbE1nHDa828xSZMpBzuR15tunv/cP8r9Fz6Gg90ystlHGcvNrNgTDzHjBPdzCC6g0rsWH+Ryj76Ws0la1nRoLsHoOQ1X0wMrv0R3ppH9i9qbyfaRUd6Fm85evXmHEgd9ihRggPPadZxQetvCJ5symDPiPbtNaSAsmeXm1CFmmpQqhqHYLVaxAo+w3h+m3MI+Mt6I2ULiOQ3nM8XKnZrJKDk6o52CNY98rN6HHM5UjNL2Yx2UkeJ8tATp7tNPJue5zMi53ssqOxfBM6duiArPRU3astZyJnnm078O4br2LZjz/itpuug11L+skzkfu1vq2pudiaSlmSMiWAu559C2u3VuDvc45Fqtete7X57EWL0/amwDNxFuxJu3/5oh0BhfdQcjTybL/00kt49913MXHiRMw64QRkZ2ezY8xx2MYEWJaLy3G/rSdCMybuouSW7EXVFR9i8h6NwhcI4u5LzsTF9z1hUYQYE3sqL7R5zXIs+/QdrFrwBao3rWUZuwt7D0Fhn6HI6z4A2V37MyOU8GaL8cckF5fD1dpwoxnzQ6tnOwZfVRmq1yxFzZqfUf7rQjRsW8++S0HvIeg84gB0HzcNqZnmajdy1nG53q/JSy6p9kxfpw3eLctzzYYRSQou1ATafdmeR5u20z0uPDxzEHJTPdibEClbg9CPn5ozjkcjOP+RV/CX6WPQqyjH8GbzWBzDq61ZmNrMNJ4IUsiN7ujQDL01Pj+uffFj/Pv8mYk92mxMkqtiUNUXF5au2oAX3vsE7336FX5bvZbNkcaPHoVx48YiKSWVlfm77Iqr4rKMs9wvYiwKc492S5jGG8o2zj3aNP/KLOnOKmDQGOQjVVSIz2FobBIebZKVN1VuRf26ZWhY/wvqVi2Br3Ij+x1ppQOQ3XcssvvvD2dyhhTepLVLKfeIfg/1+yW5D6wJQO2JSbeRu4SvZa+27N2mbX2+aPFay15ueu3SPNtZSU6cMaozU2Lts0Sb8Gt5A5ZtKMf9V1+AG/75X4nMJiDZbUjG20OyxT5TPJnszbaUErPWxI6XoPN9ogQErTeuX49PP/4Ir732GhZ8/z1C4TC7Rq8e3dG3V0/07tEVvbp2Rs/OHVGcl4X8tGQ4Y2GdNMz7fjHueOpVPHDOseiWncZINifXnGg3NjSjrKoem6rrsbKsGp+t3YqfKmvYQ7gxxGNuS5KSMCgtDSNTMzA4KQ3eqE0j0zRhMxIiiDgN2m6MhPFjqAk/hZpAuV57O1PQw57MvNX6QNf2+GaW75uMGua/ES0BRLEh4sOCUCPS7Q4c4slBpsPJSTbF2VFnoW2SjzPZuAOuVC+GPfUY0vv3x96IiteexbznnsAH67fixmmjDak4I9gGyab9etkIQbSFfFySjouyXrJ0nMuUXDhm1kl48aWXuYRWl4xLRFuvbWqRE+pJbOKJtuhbQu6zdeN6fPP5J/jmi0+xZNH3qKupYW2gW4+e6NW7D3r06oVePXuhZ48e6FBchPPPPZvJxp2srJeQjQuZKcnGJZId8KO5vg5lZeXYuLUMy9dvxopN27BycwWWbSxDRWML+15dczIwsqQAE0sLsbqyDqsq63DD2IFIgp3FFkWIWBPZ9kskW4rJDmly8YAls7g1u7iokS2HcdE9+RkNCCOGQchIaKUWBorWq2InOp7sJ25cNu8ldBk1BHsjgj9/hfCaxdhW14Rz//E83rz1ItipzQu5uENaaxMamsQYUnEr6Xbh1bffQ2NTC06cfYre5g0jk2FoCrdCtGmZ/8UnyO/UDZmFHXmbYBMeKu9FZb74pIZPcCJSGZ4Ymqu2oGLZfFT88j1q1ixDqLmedZjk/E5IKeyMpLxO8OaWwJ6UAVdqLpzpZDyxs+c1I+GMaIsSi5xYs3AIVic+gkjAh0hLLSItNYxIhxvL+VK3GdFAI7unjrR8ePJ6wtthADxF/eDwpDCSQSoaWjtdTp1sx3zVcKelw5uaAm+SBx4ycmpEm6TkKfrCifW/rzwTc66/A507d2bkO9np4BJyJiUnok3ecODqyy/FtCmTcMjUSXDoRjROtllYiF7Kkog2X5NSZd7in3H7M2/hplMOx6heXSTVS4wZDTxjj2Qe7b0RRLTJEUGQ5rfWkFEjmVGcg82QkLclGZe3xTgg9wfdQyYtdXU1cFEMNknCWZ8xSngJz5koKSRKT1Vv24R1P3yN9Yu/RtnKpUymSn0ho6gzMjp0RVpRZ6QWliKloBO8GTlwpWXp2ePbJNkawiQ1bqiGr6acGbgayzaiqWwD6jauRKChhh2TVtgJ+b2GoOPg8SjuPwJJKWnSXC8BwZbKDcnZk03zT2t+Usu8VIacRNbsqTSTbEa0pdj2Vom2JuOnz7pzRn/0LkzD3ojQiu8RXrlQT4zW2NyM0x54Hq9cfpIkE9c8rhrJNgi2XApRt3K0/YFtEG1SYZ70j5fx0hWzNSOvRLTFuCTKTsolvjTHB63Xbi3Hh198i7lffInvFvyA6hrePnv16o1effqge4+e6Ny9Jzp17YasvEKkZeWwvkakmuTiTD5OY044igWffwRPeg5yu/VjebCIZDc0NqGmsgK15dtQs3kt6reuR+O2DWjcsgqhxlr2WZTMLL10ADJ6jkR6l8EsfEiXhUvEWibbumS8VcW9JBW3W/OTWEi3Vk2I9TuNUMuEWyREs1uk4aayXhrpZrxBI9pelwNnjipFx/9BXPZuR7TpK9z16FMIOjwYMWHyduTeO+fJlq2aZm+2+Tqyl9tKsk2kUbum2BbeOSLaNPH5+z33YOXKlbj7jlvRWFeD+fO/x6IffsDKVauwfNVqbCuv1H8/fUZeVgZyM9PQ1OxDiz+Afp0K2QQlEAgyi7E/EEKTL4DKphY0BkLGuVQOwO3CwKwMdE9OQd+UVPT2JiMlamcZAEkOHg0RuY4grE3YOMEWJCGK1WE/vgnWoTEWRT97Cno7UkDRtTzOtPXMyTJ0kaZkTRYGDPnetXbMuogPHwdrMNqdjnGeDNZhaGLm1gi3k2KzPS4MfvAOFE6fir0VNCjccuLRmJrpQHFOhkSuaQJMsdlOOFhctvYQZwRbeLZbJ9pGbLao3+jGUcefgFdefV33ZBseCzGwS5IkSZpkitdvg2ibasazv38Mm9avxZKF32PZjz9g7apVWL1qBcrLykz3gLLr5ubkIMnrQZLXDa/bxR6mgYAffj9fiCxV1NSiodkoT0YWzq75WehRkI1e+dkY2iEPgwtzkO5woKmpBdd+9B16ZaXjlL5dEKM+Qf0jSCQ7EkeyaZvisVnyM5NcPJ5o8+Rn5hrZAtvgxy9oxGTkGklV2tcS2jySBqEznn8Iw4/b82NRWwO1rdDij3Dipdfh6hNmoG/XEik222ma2IgYbSLaNZNL+AABAABJREFUMTvfb47P5pOaK6+7Eaeedhq69+ytx2QL45Jpuw2i/dl7b8Ln82PsIUfr+/V4bY1gC2+C8DBZ65XS/sbyjahZvQx1639lyWZayjYg2Fgt3QEb8yY4ktK5V4T6MP02SvIWpmoQlFWf8hD4EPU3cE+wfqodjpQcOFLz4UgrhCu7FK6cznB4iExoieZEvLbTBbvDxdYOl0G2XW4nfFt/RvOGJeh6yNlwuR16vHaKRLZZ7LbbCX/1Nrxw1zW44dFnkZbkQQp5tLV4bSLiVFub4rbpO58w82j868H70aVjoR6rLVRdjGizbYNoUzgIhYZUVFfj7uffw/ptFbjoqCmsjA51FdfgyXAW73nZ9tsLajeMbFOYjEUejkQk25JLRSbZ8WW7EtfOlr3Ycly27OWuqqzAv266ApeQN1tLuiQIH+s7YSkBk0S2TV7ySBS1WzeifMVPqFzzM+q3rWdkwF9XZdwAktGnZsKdlgWHy8NqwNtZn3AgyvoAhb6Ryq+FEemwv9k41e5ASn5HpBWWIqNjVxbekdt9AJLSM+NiteV5nUysTSRbnjNavNqyUwfWErLSfrPC2JhZWTM+60YSKUO7TLSFJ1skuyIyfvH+3TGh+96l9osbF374EOFNy5k3+//mzkeq24ljxw7U8ziwOGzdm62RbT3Bl5QkrT30pw2iTeF8M+9/Hq9edSr3aOskWyPcOtH2tEq0hdKQtqMOFz7+4mv841+PoLRzF6xYuQIrV5jnSPRdsnJykZGVA5fHC6fHw/oENeINK35BRl4hwlRbu7kZzXXVCLY0GefaHUjK7YCk/E5ILuiMlJI+SO3QGw5vGk+qKZNpdsvMsdu0TxgrtiMCMDia3SDYZtKt7ZeJtX6fjX26wUsn2twBJ7zYYmEebIlk03hz8vASDCxub3jkH4fdotgq3fAr5pyCJZvrUdnSerkh/QG2E55sQpxMPO46CUigpUSX7qXViLh48PIs4zE0Nzbi3HPOwUHTDsQ1V1zC4s8KM1PRo6QYpxxzqC4Zr6+pxuo1a1G2bRvzyG0rq8BbX8xHdloyxvXpDL8/gGAwhNRkL9wpSYxweu125LjdyHa7sK6qDt9sLseV/XujR1IyIwaMOJDclaSuwRBPbqZ5QYhkC2syLb5oFAuDjfgu1MDKF42xZyHTRn5ErsojubiQmgnywJ9RUu+S77uVRNM9obIXdF/I4SDL8mOSikCTuXV2JOHspGK8GahiidWmJGXxSS91NO1LDLrjxr2aZBPo4X3Nf19CzYuPIrB6qVFXWDzgbZYHvYhHleJVjVhVLeuyHpstGrgdLb4WeD1e9plWDwjfmcArsgMmuXj5NO83nbt2Q7fu3XHcCSex5DMUKtDSWI+N69fhnbfexJbNm9CrR1dUVVTC72+Bv6UFAb8PoWAQGSlJ8GiT92SXEwUZqShIT0JBmhcFKV6UZqXASdnyRf4CLQt/0BfABW9/idn9u2NUQY6WkT8ByfZHEGb7I3rfEfkKRGIslsOAhVcYGXiFEcL6mylXwSLUYSryNUOf8FmLWC/tb27ya4st82t5Tfdx9hP37NUkm0Bt2zFoCg6bNo+TbC0DOc9ILraNrOStx2izJzW7d8tXrECPHr30OFTezg3LvPw3bK25d+7ZF/Pee137nJjJuMQSrzhicDmiCJPVldew4DUVWPw+r7BAx6fkl8CT0xH5w6dpMdgxbP7iZYSaG5BU3It55IINNczzHQkFmIQ6Gg4wuaTNmwa7Tfx2MsSlwsaWFNg8aXAkZwL0vtZpRbaMSNCvPTf4PaRtnq2cPED8rhheiAiSO/RH/YpvUfbDJygcNoU9v/0aOeHjqJEQKjW3CGff/gg2b9yITp1KYbd5TPHtFIBHn+txuXHPfffj/IsvxavPP4NkmnhqDxgecy39MVgdcmNwzs/Nxb0XnIyy6lo89MqHuO+1j3HppZdjyl5MsqHdQ7fLhQA9byhUQNtvEO7EJNssF5dJdnxctsgybsR+GqTaRMiZAZYbX5978A4cddbFRuI0OSO5fJ5e6tCSiE0LtUkrLGFkuPP4Q3TPbaC5CQ3lm+Crq4K/vpot5PmmvsD6Ays9GoYrKQV2l5upXZxuLzwZOcyrl5SRg6SsPKTmdYCDSI7FQaLfJynrOL/Z2mt2DFcaCbk9P1sr56Ufb/wh2BNee1jz57Wo7CtKDIi/l+QRlJCIZJvCAeS5ltS3xNzqvAnd9mqSDe03u4ZOYwa4yJaV+GDRr3jmouPjYqO3cxU+9xQB/X+Uu1F7hrF8GaaJVKzV39azZw907doVd//9Ps1wBVTV1mH16jXYqvGF8vIyVFVVocXnR4vPx5wPwWAQnuRU5HfuoXnTvSxpGS321CxmeHVmFSJEiY+1cFEjLEnL86GTa0GsrXJxQw3QlrKVdwCt0kZUGCroNY/DNknFtZxMlLWf/h52bVvsYyX0pOtH2CiqVSWic7RYbd6/6TOiLD/IscM67BYke7ch2sIbNbQkE4s316E6AdneFXJxsxc6nmQzybhMuHXSbXhjrfWxhXycplPbtmxhJPvaq6/C2FEjGMlm8tdoWI/HFmuq4zasZylinQsQbG7Eubf/E2cePAGnHjAMUR95KHwI+7hcnNZiaWny466vf4QjGsNjo4cBlKSpiQhFhJEGFmdKMRhEEmgtyLVGFOrCYXwbrMcvoWb0caTgGGcBa9g0QPq0RE6yF1tkw0wMreMkINrinuhGCnrQ6KSbdxNj2OIDCU1Uj/Lk4o1gFT7z12GKN5MNWvYoMPSO69Hx6MOwL8DpdiPvhPNQ/eK/ENq4Qq+ZbdTPNpNpPcmRqDkcV1dYkG6DbC9d9gv69+8vkekEEzVpkN9xiAmKmGpoa70fG+0lIzMTQ4YOwcsvPo+rrrgMvbt35Vn4Zcm45vHSZeP+Fk0+7kOUFsrCT3kMyLtBZbtY6S5evuvf3/2MyaVFCUm2ME7x/qMRb0GypX4jk23d4yk8QHKiEgnL0cQSn3k0siUHVcjEuTVSbdxJ4wjqLyc8ehvGnHIM9gVQVYcTr7oF4WWfI1ZXrhmUiCBq5FoQbmFkYm3M6B9yea+6ugakpaZp5FLyJcnewe2ULKT7X9KtB447/wrmpRN/J73mtmZZDzvsCFP2Fm0yQIlbGEQMv5T4Ucv5xyY62QMmwu7JYMeziZCmRuJLVJeKU4JMtkTEmmfhZcnQRLx2LKxP7Fjvk58R2j1j95EmWE4utaRvGdHuneijhQecCYSb0bB1HTI6dNFJBisZLD/vbTakepOwcsGXeP+Zx/CXG++CnYKQtARp7LO1p0FJl26Yc+55uOyv1+Kf998Du8PoRXpv0Ek299CLetpkFCjMy8Ht58yCs+coODr0xL4Am5YczR8IMu8lQTejtOLJTkSy9We7xZCqe7j1kl4Wwm0h0/SMPPyMC5Bd3ElTbMjqJynkSC8dJFQdhndMczxKxlwjGZszORVZnXsj05LITYxLbd8rizfZAuNZK5X2EnWw5braWi1tuidEEKC18xhNZFgnthpJxbwGcfsTfQfr7oQkOwEPNDzo2hzMFsPZY7tgUs//XcKnPxP07HKPOhR1n70IF4WouF3ca71DF9HINvub7zzTThSXn4BpJ1j0K5jOoBARp9MIk6BDKZls/0FD0LP/IATCMfip6okWssTClkJR1DU0slKLUVeyljMkrCur6HUgGEWAVV3heT3MCxnwBKnmkxrWZ6Px3m3xc9q8Z4KXWRKd2XR1APUnzWvNyDKf59NwzbZFRJD2Ecx4ZXL28GRn+jNMI99ifDluWAeM7ERl1HYPiBngbgF6gA3pkImcZLep6ZmyhO8AydZs7ibC3BrJNpNxrQa2PoEwe7XNkli+LPhuPuacfTYeuv/vGMdIdrgVkq3FpFGsqRZjetK19+Lg4f1wmk6yWxBp8SHc4kOoxY9QM182lNfgnPe+wtDMDPylR1fESObaFESwOYRAc4ivW8II+MLw+8LwUbyglqBnsa8JjzVuxTMtZUiJOTDLWYgBtnQmn/RppYnYYqkJHBQkg4rVSwv37MV7+kykRLzWtgU50ROm6JnNpQEcNhzlzsXmiB/fBhrY/kG3Xo0uJx2LfQkkjc05/lx4uvY2SkqwhZPt7S068RCNWiMgwsO95KelGDx4sPSgMgnY+L8SAUl8XOLJgnVcMR9i9GzDEMb736pVq1isNn9YGiV8YM06TvJJvZwRf80yLmtxq2zNyHYYv2ypwrKyKhzVrSMn2RSTHRJkWyPZ5MHWyDa9L4i2Ln+U2nVYWkS5G8ObbfzKMKJYixb0QEriv28CQt3aPumOYeaDN2K/s0/AvgSKHXYNmARbdrFGsCkTuSDbgmQ7DGOSVDNbXuZ98w0mTJhg8l5blRzbmz8QwsEAHr72IsnAyCcPejIWKU6Mydsolkx4gTVPsPgwg2zHUL7gfTRvW8d/hyZ5NJf9kuKyTSTbWEfCQbYwb5/m+ePecCoV5kckpK3ZIr3PFnqfJLg8U3+YLTzkCM5UbPniRWxb+An8wTD8NIGjiVyAT+jEpI6WfhMOQlZRCRZ+8yWLG6QJoT9sJPHhxipg0tSD0KGkE/795NO6dJJJKbUwF1aWUMQ2kkxYyzUhYiAd+xDJFqD2wypRkLFIyyy/I3Jx4ZlNXDvbWlNbjMuG95l7q2MIBCkB2hnIKuhgItS691sQ77gyXcwPZfoMXZ6qk35zDKh5sfzeVviLSaUld2nZqxxrxXMcdy1jn5Eh3eL50/4W1ntr3m9e9PPk/1qRjut8zdQWjLns7BGdMKVXPvYl0PM/bcIxmHUoqRzbMo8mOlkMrEYc8XaPb881E8BMSuWZQuLvGwqF4WIqH8kIbJqLGX1G7ltL5s3F0q8+1lUoiRbzeMIXVgpOEG5mzOUqWOHxlo29pBJs2vATan56F00blqJx/Y/Y+v7d2PLu7QjUV6L2pw9QtfBVNK1fgrB2TlTkFxHXFR50bVuQfSpfF2cAYPviv7cIm9DDUTSnCF3j+CEdsV+33UvVsVsRbQJNVohs56a6EybX2hm5uOx9bpNkS3IcY34mb1sItyZInPf557j/vvvw0nNPo3uXUo1ch+NJtkjyotX8pdiJU2+8H3MOmYDDhvXhmcUp8ZnIKC55steU1eCvny7EVQN6Y7+sbISaQ6wMUVBbiFyL7ILNtISjaAxF8K2vAfc3b8HyUAsmObJxlLMApbFkBKLQibRMemWpWZwVVZdBib+GeaIqYlSFBdwgJVZibUjPhEfQZA0nsu3Jx/xgA/rdciV6nX0y9kXQZDLrmHPg6dpPk4uLEj2ipqPh0dPls7SWPXlaWSN5ITKyaNEiDBk61DKpME9iCOYJjTGxMCYSCSY/2/td8rb2wu/3ISnJy+vNyzJSrQQQyzCslfYSXjuj1Je2X2RjZmvu0b7nqyW4ftwgTlroQc8ItlhrC7PyigFGxCWKNmqeeJoWy/ApFz9bDx+6I1nz/hnDqmzMMHs5ZE+I+Q6y/TbghEduxaQLT8O+CJKIu/pPhC1HkG3R9uW1MC6Zt2PaMvfjTzBp8qT4CbTUhglxk3jLX8Tl9qC5sYF/L3l80F9rNeNFDVBTfKd2EWkCJZbqZfOQ1llrq3JtU70WbARR5q2WvNoayY6JtfB0S2SbE24i0AGJZFtJt7GEgz5WwztM2fvJexqgMKQIiqf+BXVrfoSvvo7VlQ8EIroht4kWv7HsN/MMFPboh68+/oAn7GFJeyIsxwEn3Nx4ddFlV+Drb+fjky+/5rkkpMSNnHjzOHsR+6iT7O4j4NzHSLYAta9kr5upAE1eaa1N8/FUbscGYTXKZVm92mbyKwzggizrGci11+8//wRGHHAQM3jxSbz1GWmQbfOYYd1v/p4Js6SbSLj8O41F/LdjZbNkkhw/DvJ64+byYibCLf9mzTtvjJPiHsj7Ey/6cdL1EhFuUf/c1BaIZI/shIP67F1VJ9oLp9uDY/96JxxF3f6YD5Bro2sbVn7ARQ1mk/jvgc/vg8fjSWBgksMuJOOY9t6aZT+gU98hZuOWiWhrpSH18pCcyFK5XEG6efULXvmCk+MIQoEW1C+fh/LP/sXGHX/FajhScuHMKIInrztyJ56HvMmXwOZOg7fjIHjyeyISaEG4uRZb374ZlV8/BX9dmfYZZi+6IPosPtxCqNk4qO0TY6I+NkrHivry9FtOHVmKA3vvfgan3UY6LoMmKIOLM7BsWz2qmkNmwruL5eLxWcQtJb8kr0VccjQAixYuxMMP/wPPPfUkG/xMJFur9ctlsDQJCgBBXsKE5K5/ufNfOH7iCEzoXcqk4hG2UHwpL09EZJtI9vryGlz/xSLcMqw/smIORrBDPlq07Mh+nrCJJevREjf9FmjB+/4qdHMk41iSh8PGSHUTScmlgUOPv5YIUmKiZLbBWaWtgiSIgYC9L2K0tXvn0OTDfC2ohnYmC+ngMihK90JlmP7v4X9h+JzZ2JdBk8r0Gaeh6ePnEd2yUmt45vrBhhTU8PKZibUsq+UDQ3llJfLy81kccfxkLd7TB/mBLyZskveEm9v531GmjK3+LpNSBVi9aiV69qSan+ZZCCOjbDTh3mwi0nHkWkuAoidC0Syo36zbij65GchyuXmdeSYnN8g222bycr7NLaxGBnERh80Wra/IS+I4Jf7bKQnaQKRLvzbRHTC/lj3X/Er86na7Ayf9506MO20m9mVQ23b2HIPIusVAU42m3DBItmjn1jUtNBBv2LgRnbt0jTMmxrd340nYmkx1wKjxRhiEyUDL46/lLKkiayqXGEqmFuG1Y3VJg8gZNJn1XWqLRhIfQbK1RZOIM4ItPNmMaIdN8nEi5LzUlxF/LfI5sH5HioAIf17EnIbxir6LQ+9/PHZaDx1yOVF84HlortiA2uXfocOog6S7ZNwxdk9sTiS7k/DVB2/B5XZh7P5T9NArkSjRFiEDih33/eOfOPXEWehY3AF9elA2cT4WiOAT+a6x8bdDH9hzOmJfBifbHjT7g6x+sPwsFu1ZrjltInYJDKjiecYTXmp1ssUE3eKpJeNjae/+6DFktC4LN3lyLfuM7yA83GaCEOfN1p+v5nMTEWXzPdGevtpQxMBZEPufvg8zfOoTFW28EteVT5TitklGTuF1vGHaTDJy1u8plpRpW41xTYyJ4tnQVkUJ2VAt7UxIsuUxh6536shOGNeV11/eV0Hx9/bxxyL2zWuIbFz+B5Bs2UJqvMeVU7uKXhuora1Fdo78NzUb6sU8TDbKUHMcsN+ByCrqhBaa0zDDjWY0s3q1idQKT7FOuEWMtkFgQ021iPgaEKhcw9ROWSNOYH0ird90SXGijQ+RCH82ezPgTsrUKkbZkD/tagRrNjCFYc2St+BMykRaz/GwOxzsWkY8Nvf5sjFCe44QeI163tnsWoJm813RjrPFcO74brutqmO382gL0IA8oCiDFRqPm8y0l2S3Vy4u7xd/bKMv6eRaJEAThHztmtW45W9/w3//7z9ISfLAFoto5JrWEYN0s4XiTIlsc6/2Df96BoO6dsThI/vxJDcBvkTYQvWxuVd7c2Udrvl8EW4e1h/ZcLKkTYxkt/Cav0Ei2cy7wOV8lcEQnmzahu+C9TjSVYDh9gw2cLZESBYuJOFRTf5t9irH24RliLuZyOsW/yDgZMSQhAsPdyKPtl5CSkwOHA4c+O97MGofJ9kClM0ydeqJcHUfpBNrIwEal9GavdqSZ0+ztHJJLd+3fOVK9O7dO95TLXlEjKySFq+17MmWJkjyxICftWNYvnw5+vbuzWNxBLlm8nHxJTWTf4zLxrl0XBBucrcYHm0hI3/qh98wu193nXgzMi3INpOQi23Zwsqto0Yblb3a1iRCxiTNas9uRBjpJjumQRrMPtJYqwsd63C6cNoz9+3zJFvvC1TKo+tQ2LKKLSoObbF4tWPa6/nfL8SY0aP5HU8wsY/z8Ilt/c8k9QMAfYeNNn8vSecjJ0djedvk8pAml7aRhK1x42/I7DnKnOlVWPDZtjAo0SRKI9TSohNvbSEPt/Byk+easpJHgj5Egi1cXi483MzLTWvZq00ebcmrHQwhFAgiROtgBM7MjqhbuxSbvnmHjTvk1WYScuHR1jzc/ghw/F/vxOrffmUxhEJGLsrkCc+225uCfz72OC667HJU1NbzLPFOSUquZZWH0wN76cB9nmTrbY4S6nndLJ4z2pYnW1ZtaK91r6lOyGVlWXwCNNnD/eRdN6Bzn4H6uVbvtzG5N1enMEuvrRLweOl4a55s83lmA7E+XrVyjvlzty8dFwTXRHRlr7ZJAm+cY8SkS9U5WpWQmz3hcV52PrjKQwkjFqeNKt3nSbYxR3LAO/4YODv3Tzz50B7M21OIJzxRjvOXB3qbDU3+INKSKalsax5tiaxbvo7pDyqByntlZRnxxYmUH7LRjNpQKBRCXWW5lsxYchBo1WQM2bhBpmOteIrJIVH55ROonPcYy+Kf1HksUnocwFRGXEllCV0Sr7VcIXoeEWb0jcKVVco84Km9piASaEL1d8+zcYXLyiWybyL+hmQ8kWdb9swTLp3UY7cl2bs10SbQBKVvQRo6ZyebPMzbI9lWubiATKRlci2801ZJiByfLSZPgmwH/H5cdNFFePSRfyI9LZURAU6uBdkmkk3xo1w6zsuTENkOYu43C9HU3II5B49nxDsWCiHKFoodDXHvm5Yt+bovfsCNw/sjz+FiyZpE4iaWXTxEnuwII9AUV70xFMCjLVsxxJ6OaY5clmyA3hMliAShTfxAMNvmEnvqZMgTxtaeXiJbpzxgS6V05LJR2tqdnYlj33oSfWbu3RmVdxSsLMOEY+AeOMEiFxcxq5KMXJAMi4xWvP7o408xedLk+ElYKx5tIVfiVtTWJnHxZDvuN7TRUtavX48uXbuYyabuXZSIqfaFWIZk4e3T5eKCZEexpa4RGR4XstwuXRYuL0ymxOKEzFIko7xNoni6eDpshtEXRH6IxL8+0X5zYAZtp+Rk46K5T2PkCUfscHvZm0FhE/aSfrDndZZis0Wb532ArbX3aP8rr76GI448yhTeYvZim5uYaS21b7H/xX/e025rEhehGNm5dUgXLpv/BmwkkRZvSWSA25vEJFyEUfBFlpIbsnFec5neD637DJH1XyDWXAH46xFZ/yXCqz9EzFeDaLBFI+lWWblPX7iMnLaJcPNM/pTDoGjKeUw62FLfEC8j1wh3oz+MAByYePxZePnxh7BqxQrmbaGFychJhUVG32gM2XkFuP3ue3D6WeegwRfQZOQejXB7AHcS7J36wZ6xb0pkWwO1qVSvG0mUDEp6fhvGUINgWp/d1pAt4Z2Wqynohnjtmj999xWbDLmSkvX3xfigl5ySpKq6R1wkV7ISZGmf+f1E2wkk37rqxErUrd7yxGSbw0Kit0O6WzPUyTJyfcxsLeyoTcJt/kzDeMK/cYrbgQv267ZbJXvaXYywnnFH8jmS/GwWBk6dbEtjsTVOW1riSLmc70Y7f0tNAwoz4+uVi1JW4vrWa7clNa+vq0e2RrQTDTEmY7DWzso2rcemVb8lkIxHTfkVdEOutpaJLM2Jgo1VCFRtRFr/6cibdDHc2aV8jGBOQolgm5JwGooqTq4NdZV4HSNno82B1N5TkDn8OPgrVmHb+3cgUF9ukrLzMc1CvvXvqEndJeNAqseBOw/rv9snAdytibZosF2yU9AnP43xhR2Wi8tecGmea63LLRNr8R5PhmbUURQx2rS+4YbrccFfzkdJcZFOsH/77TdMO/J4vPPBXJ1sc282kWxOtv3NLbj32Tdw0+zDKOtBHMmmhE1RItvBMP67ZCWmdCxAEZO+GkmbeLbkMMKUcTwUZQnM1gcDeMZXjqNc+ciFmyU482kE/NtIHZ6PbsW2WMAUV2omyUKgt73Zo2VWapK5yh5x8xZ9LiPZuiRXq2Erkeycfj1x2levo3Si2VukYPQFz8CJ8Iw5jNfLljIHs0VKEGUiIKbFhs/nfYkJE/fX/y5xFlPrPumBbo7rkyc9ZjKyduVyzDn+cHwx9/0EfTr+L1pbU8NqZ5ubTiLXhSDZ/KEsPNsG6eCk+5NVm3BA52IjHoiR6yieXL0ep/6wGMvrGyUPuIj1sSazkfIO6JO1+N8v/TK9L1hEwgmasGyoEnuM7Y4DeuPqhW+j1wFjVfNPdPfouZxXCntRT1beSvdk64Ymh+bNdqDFH8C6DRvQq3cfriswecCsnmxtn8nYZFV18BCX9vBsGklqN6/F+7eeg02L5xktQmo7rG+FQ3C4yDNifLDJs2dq71wKzto9GZa0iQyf6IQQ8dUhvPoD5sV2dJoAZ5dJsGd2hi05B84uB8DZbSpirjSE1sxFYPETCJX/qtUh1rzZRLKZR5uvuYebvNtB5t0O09gTisJb2Bdbv30T6z5+TvNs86RoulfbH+LbwTCGTjsKj916NTZu2sgz4ZJ3m+K0tYU82z1798NFl1yGM889H8Go3SDb3lQ4inrCniRCMRQSebbTkzytkmzZA2b1jMkyb102bkmAJq5BuQmOnHNpwrwVhhctPgGTGOOrN67Bu387GxsWfWHO+WEirjI5bkM6HrckMIa2RtSl+0fbv777FD644WRUr/stnmS3IeHWv79kkDYneZP3t74kGOYsXnT+jYvTvbhycg/0yo8ndwraHGnwJCTtfyzL6yATazPZ5k9n05Nar+0skXGJKAteoR3O8OumcvQrac34J5Pq+Ne/rl6LqcefgXc++sx0VmNTE1LT0iTnhdRQ5fFDahsVm9Yjv1NXLu5rLQmaJfkgMwhJnu5A7TaUffwA6n/7FBVz7+GScRNplnKCWCpe6GFL0ra8jprej8CT1wPZo2ajdsk7GoGW4sRNzo9Enm1OtrvkJOPRE4ZiSEnmbt/0d3uiLZCX6sHAogx4nFqMmUUCLte5NsnFt5NhXI67lgm6Xh9bzkCu9a+PP/oIkXAIB0+bChszDXGp+NKff2ZlBr78dr4maZXJdhgIh/HAc2/g9OkTkep2sMbKllCYEW1RjohI9PqqOny3uRyHdyyOy5BMkldewivCJigbQgG84C/HMa58eGMOQ5anebL9LL0YZULmPTWe58ik2ZBAxr9n7JMTP/F35fMMAi/O1mNbJdm4nPW014wpOOOLV5DVuWQXtZi9F5QEyDPuaCAlPWFCKHPGcZls27B5Wxlyc3Ph9ngSZ6PVJiQilMCahdaUbVUmIZZJzspff4Hb7cai+d+0Oy5JlkuZ3Yx8m002TIvw7PEYbiLMIqb16/VbMbY4TyLTRLZjaAqFWT/2W2VL+mAkEWurQSHuuyWGVjSk1b6g/Rr9aPlMwqDDp+KKb19DbhfVF7YHW2o2J9tEyIRxyZII7c2338ERRxxhmXxb23GCv3Uryg1qL0eddZH2V9xOW7AB1RtWwuFyoeK3xYZRWFuL87sddal+jt4+4rxzGsE2ebVFxn0tNpsI8+b5sHcYxWtqt6KVZGNfch7gTkMs7Ee4YSuLx2MJ1EhKLnm2mYyckqQF/AgFAkxGTgnSQoEwsocfxbKwl/30NfytyMibAxE407Ix6693IhC1o7axiXm0qQ9SNnKSkovxatS48Thm5vGsxnYYDti8qXDmdOAZxxXahNftRE6ql6knrCTbINjxCZWM2GtJNs4WuVRXDJ+8/gK69R8CT0qqHl5jisvWJvmGdDWejFetX8FqXm/79QejP8kE29o3E403pu32eLONfhxnZdMQamli42Y4FExoZG6NbOseZ6v6aQe92XzstSR4sxgPBhSl49IDuiM3hYdTKrQOV+f+SDn4LNhSMsyea3m8lX1MrS3y+0JGLimTftlcjr5EtGWZrE6ozedYvX1Lf1sJj8eNL+d/b/ruTUS0U8zVSkxGe9kIrC39xk7CyIOPTRCioJFpPl3SiDUsYUl8ad70E0tsxvJ2wMae/XxcMYy4zKutK6ik8CX9mMRkO0bb7BgR/hSFIy0f2WNOQfP6H1D5zdOIUALbBLJ2K9mmZXz3HDxy4lAUZyTtEd1gt0yG1hpSPU4MKs7AqsomZiW31kmUSbVAIpJtEHJzkjVGqC2ZxY1M43xfRdlWPPTQQ3j95RclqThfH3f4oejeqRgDe3bX9pu9bnUNDfhm6XJcfvNfeA1gJsXgS0yv/ctf/3PBL7hkcG+e+U+KKaXsr6xGtkammyMRvOArx0x3AVxRO/NgM0+x1DlHIhMhxODS7SqxVqWs8dP/OP1MG3+hRNLYeOsxQcslwmJyD7j2L5h20yXbqUeoIMOengvPyBkIL/8WMV+jWUYuZ12WZOO0vPraGzjiyCP1RHTxknCzld5MsM37TZZWy59u6mFHobRLF/Tu25/PaaT3E1GTpuZmpFgGF7N2V5v2xJFt/p6+n+SylCkzEkWyw4EwqUbEAzoWw5zSUpyYVwR3hAYSIiiStVeavOkfm6jZ0TNDqwtvsjhLSIIDDQghHYYc2PzbE4deHHzdBZjxt0tVX9gB2DzJcBR0Q6R2myZRMxuXXnrlVTz132ckwizJSONIdoKszJZzWpoamFSvtO+gxN/HokLsOX46UvM7IrVDN9CopcvIhYfEBmz96hV0nHKm5UpWA5OUFE3zarN9bIlxKXhTOZydJ7cRHWS0N1vRUDgLBjHJeqylGuH1nyNWMADOrK4mUu/gMzMjR4Iou8cu6ETuqONAZV83zXsNHfc7iiWzkUcagdScIjQ3VOHxC0/HVff/G7asLJrOIRbj2bMpJICSUR106GGorqrCp/O+xqEzZvD9Cu0C1RTOS0tCVZMfAUqql8iDbSLcRiyxPEm3ysIrt23D959+gLGHzjSUP616zmTCKxPxGLqMmYbkvI7I6Njd7F3TM3SbvcCynJv3BbOB12jbPFFZ/MPY2M8e1yIXmtSvaU//Y85D36AfLm+y8UyWhh/eYegEuc42n28Ko6rZ1WC4IlpPg9Y2ZEPB9N75OLRfoRoXdgCOnCKkHnYOWj59AeGy9QnH8HYFbWslGQ15uSFB/3VzBa44apKZnbfzz33cjGno1rULBvTvb9ofCASYI8QKk+rK0v7ffORujDr8JDjTc+ONyeJ40ZekuvaCzDau+Q7JnUfA5kxG+uCjkdp3OlOKcem3Vk6VjT+WeZh+j8RYxvMBccUXr44Ti1GlHDtslPCM5qeWTprUcTDCLbWo+ua/yBt/mpYAjYN4F69lzw0EhNMndMWc/bvtUX1hjxvBqDZp74I05Kd6TNJwU8IZC+mOI9nyokvEW6+XLeKzaYJBcdl/v+cuJGkZxvUMyOTVjkUxfGB/eFwO3dPNkzfxhvrse5/hlGn7admSNUuPTrINsl1W14TmYAilSUlGRmSWLZmTbqpryjKMR2N411eNMc4MeGIO9lrUvWaDpD5k2OJItlXkrWeLjaPdCTyLFqG59SixlfiaxiDnTPJi9gv/wEE3K2KxM7C5k+DsfwDsBV20Ul9SgrQEsnG671Ti6MCpU01eOt0iL3m1rTVWzZllLcRc8pbIDaTvoKFwSQOGiZgnRII3xIRef7BLi0y+9ezMMayqqEWP7HSp1rYWk6S57r02hxHbLWJ+5ARniSZy8n1vrU1LS1+k4Rc0tdEXjN5Ja3dyEs586WEcdstle9QAsjslDHTkdISN5MWSgemHJT+he/ceXIqXwGsdp8iQvGt6G5fOoY2KrZuxee2qNr6MPAZxYl3Qoz9cLo8lFEkk2rHBV7kp/jomA5PWjk3kWkx++DpStoSXwmIZk0WrkydDgkDwvZTFVcSFk6zc0YXyNtgRIdJN3mwtQZqI0w5TyRZNUk5ebC4lDzPPdpgMV5EYVr7+AHy+IFpYjHaIxWnzJcS8266MXBx85sV45G9X8zKUFLNNCdJY1QxRbhI497zzcNjhh7N60Qo7Bir7lZ+WhBSP02Q0MlRlYtuchNS8mD1jK5f+gJl/uYq1GznBqTUzuZyhXHjUdaWQti+7a1+mUNBJuJSEzSD/Zi+xWWK9k9JxyxPdMLTxfuHwWL1j8YlArV53w0AhjaPWLOxWL3t7F636yhmjOmFG/yI1LuwE7EmpSJl+Gty9hse/mShuOuFiHKvLym1gxnyq45zkcesx2ToZj5shJPp4G0YMGsBKeclwOp3Mu9saTGOX1qSrt22GNyWtlWSB2nGyAUxOgkaJ1Ja+z0g2cwzSGENzJIsc3Bp/zUKWxBLZvkc7pi8i5MkI+UvreQAyhx6H5o3L2G+Xq24II53HYcftxw7EOQd03+P6wh7l0RagSUrn7BQkux3YWufXrOHG5IbQllxcJ+emvibV2ZaSnxky8hgeuP9+HHzQNPTt1ZPHYFMCtJjk1WZkW7P4W2v8hsN456uFeOvWC1m8Ns+SLC8kj+Axpi8sW43jenTiiZtEsfeQUfSdFWmPxrApFMC2aBDjnJksmzgRbJKKi4FThuE/kzOHy++JUgWGx0PYZM37DHJgttQKIpHIjmu9MpDdpQRzXnsEJUPM1jyFHQMRbGfnQYhWbUKseqMRm6oRbplsL1n6M/oP6A8HJdaTs9RKiVvMXmvrBMiaSEbyjkl/3FZ5dBvv6fUotwd5BqVbVg2vH62XbqtC/7wsiYAnWITMnHm0zUTLyCjeVjx2a5oQ/iXz4cZC1CGEKDNyxfcFo3/kdumEs197BJ1UX/hdoDbkTM9BxN/MyCC1/Uf//TiuvOoqk5RWTgJlEUbEe7kTkPHGuhpk5uYbdp+E7Vor8mNST5mTasrjjTenWH+22hKJHsSGNBHX8xQQ2aZEm5EQ7Ck886oRgygbdAzdOv9uUqtkCg0nbKmFiNZtQHTTfKDzRMCbbjFwaddNMNHJHDAdzesXwt/UzI6Nwm2UxdR+Ga3zewzErL/egR8XfIcBQ4fBluzVjQ9Ohx3ZacnwkItc4Xf1BZKR0/2sbgrEkdLWCHV8AjRgxdIlKOnRFzkdS9m8Q064pJNrOfTGRBitEmqLxFsiw6ZSYHHZwyUTfoJnMTeCmToL74FSH2LXk8tPagSbV+4ytmVHgtHkDW+2vi0pmkyzm/iTTav2IjvZjbNHl6Iki7zsCr/HCJu835FwZBfC9/0HfP5tRaK5h/5nS+zNXrJ+C4Z07WA8D+UkZ6aJgXWW0LbX2+VyMSXejqCkZz+4vEkIBrmW1ZzrQPxEqV/qCTYBX9lypHbnuWD0Mo9xi2HUNc29pJsljA3cky0823Q8D+eiwr7CsWkFU7g6XAg1lKPyy++QP+FMPm+N8gz7xZlJuP/kYehdrIUC7GHYI4m2QH6qF2keFzbVtrCYLyMpmpVkS2sLyY73YBtJ0PT3ASxetAhLf/oJ/33icc1bLWUZ1zzXJBUX9X7ZwrKO84b6w68rMaxXF7jsNq3Gqextk+NII1hSXoOze3ZBuCVsyajMY0lZZs8Y8K6/GtNdOYjEbAiTR0NKKpIYMtU1enozwtgEP8rgB6VLk6dUbtiRAgfy4EYBPEiB0ySRElc17zEGM5mS82eODRPPOxlH3fVXeFLUALKrYM8tQSwtB9GqjTzLvZ5xmYg3J9/PPPscTj39jARWeSsJMSz3hqdXI9wW77V1wt5eGJMpfq7b5UIwGECyqz0xN8YkzpCNi+d/DMsra3Fcz85mYi3FIvHXRpySMSEUsekJPC2WCR57nmjdic27pN/F7wvQD2lYgnqMACXrUH3hz4LDmwKby4uNG9bD7/ejc9euJi+bVX4qy1N1y7+235QNWDt3wKgJ6DNiP4Toua3/zdtjJTIbdsW4E7XZ0OnAU9i4wGTSslfElExHgzAqyZQkEoCj03hN1m3wCCFNN5+uPZuFYUxL7iZOtGeWwuZJQ7RuPex5ffmIYJMosybJN5QZ+pWZ/LBh8wpsWPYJeh17uZ7fJI4YeZ0oryjHZ9ddiktufwA2uFkpz9KsFFZ/XGHXICPJDa/LgbJ6H3xMSm60eZ1Yt5IAjd4LhkJ4/h934oK7H01AzCVZuIjx1mJAeby2GFOsHuhEMdUJ+qM2xpiera2E6sjviyYvz3bkg/TzNYLNiYF4n7/WyXgigi1ty13TIPCGit1m2d8e0DkTuuXgiAFFyuC0C+HpNwbO4m5omfcqIpWb5T+cVkM9/i8h5qx6UjVp+eznNThgQPcEJFszK1qe4abzTWZ68weTh9vn9+scPZFjTHcqam8M3G+K7mQ0e7S1PiRZjvkuw0HhzCiGO68nIqGwSSFlDVPSjboijMlCtOPGLEG8bbxHCdC8qjWdUmqPiWgINCFQtw3e7GJ2/vFjSnHpoX2Q7N5z6eqe+801JLkc6JGXisqmAMobA2xfPLk2y8hNnmyJBMrHieRnNBmqr6vFDddfjxeefZrHdUgebD12TY9fk0i2JC3/4JtFOHj0IONYmWSL+naRKNZU16NreiobwURtX+F9E8mbiGhXhINsAEu3udBCtX8tGSytELTX8FvHsAbNWIFmRqQ7IgkjkQUP7OBRFHyICCLGiHgFgvgBdWhEBEXwoBdSkSo1H6t3W3ySDErudPITd6PX/mP+oNawb4NiVe3FvRBrrEKkuY4RbJF9nMrJrV2/Hn379ZeS1LRStkv2XmukVvd8SwSl1cnMdmBqF9rDPy09nWXbzEzZHtGWWa0xe2PfSJu0balvRoe0JMQCJGtqxaNtJeDSJC9uImkpB8XutRznZf07aHekM5KxDi3YhgCKQBmlDai+8MfC7nCgpLQz7rv/AW3ibK17a8n4q09QLMnP9ORHhpLj1X8/gKH7T0Vh117x4RNtfSldWSWHMPHJevmCd5Fc1BPJHQfE5RoxvNMSJAUHrUPrv4Sz2xT+lkYgOHcWjNuiaTIcepIMz9hpS8pmS2jj13Dk9wdS8/TzWLydjZJrSj9M2vbk90ZS8Was/fBJdDv4DLY3IpkjhHey59gpCPl92LDyF5w8fX+V5OkPAqkDOmWnoLo5gIpG7t02YqJ5f9CTmGkJ0ARpXrZoPsYdfCS8qekIs7lHK95wyZsdJyGXwhjijJpxqhJZMWUYsbZHsgViJodz/Ohk9WYL/msdz/jn7SDZFp53rd/F7W8HclLcmD28BD1VVvE/BI6sfBa3HVj6FfxLPuNJijnTNj+99dxlZm+2eF7TiwWrNuHKoydLz+fEhDwx2Za/lbmNZmZkoKG+Pu4dEz0XY4T23hv/vBOzb33UONjSp9guaZDSlSYhP6rmPYa8yZfGk2xLeJKeI0RLzMm4j/TtmAc7AdEG6yfmztsa2abRKX3AIQjVbEC6fzMevuJ4jOqRiz0dezzRJlDjzU/zIt3rwpZ6H/yad1tYfWTyvL3kZ9ZSXtRALrn4Ytx84w3IyszQCLbWyIRXm0nIxWvu0eYJBAxp+IJfVuKqmdMQCwe0961kmy9frNuK/TrkmSSu1rT3RJQ+D9RirCtTknoZnreE90gi2xvhw1I0oBOSMA15cOo+Bz40ycMTEW8P3MiGC72RygaMrfBjAerY5GkYMpANa0ZYw+fNrqW82H8aWPtOz4MtKQPhphoeQmB34OXX3sDMY2ca3tpYgnhsyZNrlhfKEyOjhbVGstsm3tJZkqE/NTUVjQ2NQEFeOy6iu6/Nu7R1OBqF225HSCIioj8J9iS82uISsTYW+Rj5VyT6VdavPR7Z+BAVmII8eEk6pfrCnwYHke2SjohEomjyk8mQEm9ZvNqm+MtEMlfrxD+GbRvXISO3oO1Zv0VdBZO+R3sthSsl55XAV70FySUDpPPl0jTSRWWwyZIPNgc9g3kaGTL+0KRHvo7pi+lfQDOIyjzc4j235/VHeMNXsHU5ALbkbOMY7boR0yRTXN+GjL6TYbeFUbVyMXJ6DmHzWDauakfz8daGk046CeM6Z8OtpOJ/KKgd5aZ6kepxYWNtC6t9biXFMjmmpY5KLhaVoNfwcSxczUyqZfm4nFQtPiY5ThUie7Mtz1kr4dZhIQ3b+bGmUKa4gUp/LREsSxiFqZ+wt6XByrSd4PMltq5L19vlxc7FUQOVF/vPCLfzDp4IV2lv+L58HeGKzezvK1fSkR9r1ths+mezVj/bwZJ7JYjPthJr46FrrFtpG+kZ6airqzW+i+kSIq+H5ameUFVoDFyyfFwezVo2/wxvcT9zRQsp+aVeVtJEvrWwJRPRNv92QbrZ2k4dKL7fJiLbtM9hB2YfOg6XHt4fOQlqlO+J2CuItgBJpLrmcMttVVPAsPokItkmo0t8zJyIK3v6v09h4ID+GDViuCERl0m1RLr1BioSoTHzbwTlVdXITkuFg+VTkxqqRLZFLOmSsiocPWogon4tIzJJxqXyQ8LyvCEcwCRPNnzMAm2UJDLDGAmEZXgR6pk8fCoTg9tbJcfyPvP7NnRAElsaEWaE2wsbhiMTHuYLR5znbvb/3aXqAf/JsLnccGYWIBJoQSgYxGuvv4EXX36llSRn1thsYbQxT5LE03q7Ux05J8J2eLa4FpX2qq6pQQwim2QrMU+twhyEqH9fmZNLxMn6leSJYDs+ySDsxk+WTFXGl6X47LHIxueowvGlQ3DGk/eqvvAnw+GwIz3Zg5ZACPW+oCk0wkq4zR5uS4y+dnDnXv2RmpHJHu+JIM3PDNWUFhdtCm+SQpTSOvWBvWqbpLySY534GaY4QR28BdoLBxu9qZWMulZeQFmTt9evqESYo3QCYnYXIoEmxJCijatSHxUTTZZN3cHXNLlwu9C4cQUa1y1F1+mnsfFPjLtUrvOEoR3QPTd1h/+eCr9vjkQKwG0Nfmyq88WV9pKXFx6+C/vNmImsohLJ4ConOIv3ZlsTlSWqZmH2ZscbTc0Jnczb7YVhIDWHRbR2rFCusGwamoNFmMa2P/YkuqZExreDXPJijyhRtbH/ZDiyCpAyYw73bv/wKc+7JMPqgZZev73wVxw6ol8C760kp5WfkYlCgPTnp7atITUlFZu2amOB+ei4y4v3p8yyVqwwkCjETmy70grgzCzROoDGRyRSLfiMNUabv2fSm2ghdAkk5EhMtBOR7ZK8VNxzxliM7d1abfI9E/a91XLbJSeVycoTkWwjRs6SbVyul20DVq1ciXfffReXXHiBlOBMWmuNTSfeMuHWSnrRsW998R0OGTPYLBs3xYwa8dpUW9RrtyfwaBtkm2Tj2ZR6nzwKuiW6bY8bDSJfooZ5qMcx/3T8JEzIJmVDsNGNzJ5MQhqcmIRcdEEK5qISFQgYfweHAxPPn43rl36oiMX/MjmUNwWhmB0zjzsOHspiD1tist1KbLaYgMh1pRna41gQxhmpqcnERUZ+fgEqKyulkUUaZto722ETxigfDOU4P2kCmJBVS+SqXT9NlpHHkfMEIROOJFx84um4euHbqi/8j0BtIsXrRl56EqtcIRNqq7w1Li5flpQD6DNs1HZK9ggDr1EWxuTU4F9ICm0CPOk5CNSWmyZrcuiTPtGT+4XwUvhqLTI+c6eTjUGmPcIpl9hRblzKlYxYoBGhtZ+w2qrRcBARCl2iJRRAhGpvU/1utoRYJnIqQ0lL9tAjWGKf5qpy+IMRBIIRTOyWg+un9lIk+38EapdUf5bqMqe4HfpYIIeflW3agGDAjy79BxskHG3EZsuE2LTIknFzbhBZWUKIO9dKsuNIu7EkemibvOXbgfEsMCtY2nd24gtuL6s4jRSiL/RSUvH/qXc77ajz4SjoZCLFRiZxyZut7ftk6SpMGdwzcdx1W17thMOGeWdSkheBgF961zzaGJ9kXK9y84Y2f2fc3EZr4/6KVbB7MhJWsTDFaZtitDWyrVXDMPgO5zztWiLGNuUmsSOK2ZN7Yu4th+51JHuvJNoCVGKrNDsFRelJTJamx123FpctPN/a4vf5cOmll+AfD97PkrNYybROqq3ebNYojWzjlN7+rXkLMGPMIN6whCXIEmNH60AozMo5yBYoI4bUkO/+FmpBd3uynh00Ig0Q8f5pPtiRR60ESRgALsWwThSNeyH7s2XabZHVCCsWgGJ4cSDy8SMasBxNGHzkNNyw7CPMevhv8KZaaiMr/OlIz8jAnDlz4GVlKMwJzmLbjc2Wko6h/TOXhEqmNuhyXn4+yisqjKNkqZR1mEnEXLTv1OQPIdXtMs2yZIJtmuyJ5FfmS5gciTLHN2wA0ucm3tQh+sKlz/4TWXl7fqzRng6Xw4HCjGTkpXnhtHPZdFyGY2vcqPR+MBTE648/uP0PkpTUYmUVEBoknK8rl3yseeBkr7YRG2jygLAV/3bRRqofHmq1X8a3S+uzXINp/DCbbW3eDNhzeiOydZFWsiWEaFgsGvEOhdg6EqZ1GJFwhC0F409GS20VukTK8MjxQ3D2uK7Ms6rwvwUlFxrSIRP9CtKQ5CLjkyYhj0bhTUvH6dfdZQkfSlzq0WyYtRLK+BwG+qTfYswyLEdWNYnV1B8P0+lyZn7L8711p7gks5UMACYjgFX6LilhdoTUE4Z0yMCNB/XBCcNKVF/YTbzbaYedg5TJs+DIzLOU65K82eC1szvlZcHj4qUR4z241sRnkrwpkZfbMjh4PF74fD7LNzQnFJaVT7T901cfM6JrdqYneM6bOyAaV89nCqT4zmlpzNokSucrktVLxGybibqUrTzaCgnXyPb04aX49K5jcNupY5Hi1e7pXoa9SjqeCGleF1I9TjQGQmgg2SBLF584LluWk994w/W48ILz0aGoMC4Omzcwszdb93gzki1k4RF8v2w5BvcoZWQ/FqTJkDH7l0k27SpvakFhclKc9JUgW3bXRXwY58zSkpnEe7PNMqkYS8aUDie6gLJ8W/3e8lTLiFORSbZMrOOJN9/vhR3nTTwYYy49HeMOm75r/4gKuwRupxOuFAdagmHUtwS1+tFybLYl07jF27CrYJ3407ULCgqwaMF3FoaSYKAyDWTxV/OFwkh2xT/WdNmhPNuyTKZMJEiT37KPiUmvTRIu7jnXxFGS8cmGnvuPwpF3/hVdRg3ZVbdNYReCYlVT3E7U+0Iob/RrZYviEz2ZPGkAKjZvRF5RyQ5PrHXYWgtbssGTkYtQYxUcyTlGjW29C4iJXoJ4vEhQr4fd2pO91TfYa22n6QSr4ikGe0YJYukdEG2pgS2VjEZ25hGiUoK2sANRO8nGabEjarcjYnfAbo9iZPdMXDRnFgaVajHeCrsVCtK8yE/1YGOdD7+WN+LbTz/CuhW/YMYZF7J+YU4QaS7tFU+uW/c6JzJq6mWIZEnrTkJuyqb9WiZxbsRqhzIKvz8DeWvomZ+KowYWsxBHhd0Pri794Szti9CqxQj8+DlivsY4afjf356Ha4890DIfkch4awTbmDjokGYU+uJyOREKWWTs7Fqy8V92ENqQnJaOQHMjbJ7UOOehHnKkXYN/rnHNdg9irZBsw5thOVz0uqiePsSEcQNKcP0pEzGsZxH2duz1RBtaQ0z3utnkqtkfQmMgaK6rLZfysgFzP/yINZPpU6dKyc+MJGiJvNlm2biWCC0awX/emItrTjpMy0JueLMNkm1M/uv9AaR7XJJHW5ZPGRbe2mgYGXCAbF6mmrDGLzbNqH5FI0azEkPiPeM4cZRBEVq9i6ZX/Dz+b8mQfjjijivRb9rEXfp3U/iDJLQeF5IYyQhqNVYTe7MNW88upNkWO424cn5BAcrKyrUWZWmFchyolmjDIOLmQykRGnkqTdDJUrwHP24GKH29uEWQ7gQeStEjVF/Yc0BtKTPZjfQkF8vpQXGrpuRNcUb+GDJz8nDg8afoBMF4MrfnA4UXWyySUccGdD38L4hGHYhQ7UbJgyJP5BLN5h0dRkj1TQWs5qP4l+wIYTBqFcY4Iq4Y3vQtbKUTgOQs2MKUgdyOqI0Ta2hEm7b7l+bhyqMHYr++e58UcG8DtbXSrGR0SPfi13kx9Dv57O14sw1DlNVbLRYjW78xIddbaJxyxFAX/Z7Rxkq2Jedd63Kqtq6le8t/H9kuyUxiBLtfUfpO/jKFPwv0/HL3Gg5Xt0EILv8ewZ+/ho2SGMOGpRu2IsXrQbeiXPMzubVFmrcknlXon2o4uVppRFzhZKHm2hgy+5q74Y8ATcGwKTRW9npbOD5r0oXTruR5oNq8I5a5YAKSbR4DpX5BfMluJtsDuxXihtMnY9KwbthXsE8QbQHyWqcluRnRaA6G4A+GTJnHqWlUlJfj4X88hNdeeclMpK2Jz2QZObUeUw1tvl1dW4+GZh86F+YAoaCRWMAiHxekmrzuaUL2ah0lJK8KK+6uJRloXbbEG3oTE5YDqTA8HvKYI6ZQ1qqo25t80ft53Upx2K2XY/hxM3bMUqywW/SFrGQPM0ARyaho9usleI3k3G3PfEzDhTBYyW3LonSV9REy6PJ5eXk8Rlu/uHWw4m1ST7ZhGrwMULJAR1xbNI8w+tvyF9V+qyA+aM2brSW1okSarB9qS263zjjs1stUX9hD+wJVrchOcWNrvR+b630mSaveF2LALz98h8LS7vxE2bhp6SNGfgBjn8g6boLUBv1Vm1G76kfkDT8swXxNkHOqYc3JLZvBwI5I+TLY0opg82YZio0Eao84sOMSFUFK8AX1S9rh6DAa4S0L4eo2GbFIWPdkk5w8FnGgU24W/nrCOBw2uosaF/YwOB12XDbnNATDUSwta8DPZQ2sekN8CS+jf5hLQ1q82zL5Fg6EBEOK6Rh5Z6Lt7SBRe2betRgZaQVtsGQmb+Na8gX5OdoOs3Aw4bXyUt04fEAxRpRkqr6wh8HmdMHTfzzcPYcj+Ms3CK1chLvenIe7Z8/gz96ECz2weSplc2y2VSaeQD4uPjd+0mSeR5kchNy4s+DD15FW2An5vYaY39eNtNrZsn+CwpXmPYac8We1424IUi36sEyyrf3TNOiB5yOIoktRNq477UActX//fa4v7FNEW8ButyHN60aK24VgKIxgOMwbXiyCiy68EHffeSeSvJ64Ul6y59osI+dScuZV0OIOiHC//tm3OG7yGHOafL3mtij4btiCApEIPJTb3oK4wUrsl2KXEo1DtI9KeXVjknED5qmV2WNhxObJW+Zr9jpgDCaeNxuDj5gKh3OfbEJ7DSj/QEG6l9XvrGoOoqzRjxDVbW/vxEbIWU2EWybheko06d/EdY+plrxhxuFns23TheWBKcHVKAY9wT55UNJJC6wkOj45ZiJvNiuGRxZjypF+wFiMO+ckDFJ9YY+H025Hp6xkFKV7mXd7Y10LmoPiOc2x6Iu5OOYcrQQXQSLjRqdp+7kcB61Je7MK0bTpN+SNOJxn7jYtnFyzNcm1xbaYsISDhv9Na9t8gqM97WVPtuadi5vsmMiC9gzQ+pl8qM2TDnuncYj662FPztbJ9oT+HXHm4aNw8OiejLAp7LlwO+0Y3jET/QvS8FtFE5Zuq0eNL2Qu1dVaPHbChc9zhNRcn6AnQMIkaLvodxkyclFr+49Br/xU7N89F4M7ZLIxVmHPhc3thWfIZKD7MJzvS0FJnhNgknItbIZ56QzjJ3uumuODzPHZFk+2FfJ4I3uiZXKth71qhmJvcgqqt21CQe8hcdJxMf+JJ9s2RPz1cZ7udsHUh6VxTycNBpuYOKQLzjx8DA4d3xdOx76Zm2OfZklEuL0eFzxuJ0sA8vqrr2LypEno36+PVsorQQI0Kdu48Z6I2RZJ0LjX+sP5S/D0NXNMMd16xj6TdLx9UzI+UJmPi7MCW65EmcBH6LJxAc0bbkp/JiZlhi/boOIxJGWkY8zsozHxvJNQ2Fvz6CjsNaCJcWG6FwVpHtT5Qtja4EdNC03e24ZpANCJdbyEbrsONt37IVtgpbMTyLHixizKFeB0sMz9ib+oINnW+NjEJJufZ/ZmE7l2Z6Rj0IlHYsyck5Dfe9+RP+0roKzkRLhJ7lnZHMT6mmZsa+QVFcLBILLyC5lyQsCqKDJ5w9sgFHGfm5yK5ILOCRSIGikWZFsm2dQmU/IQY14UM4TqKXEohmRgFXWCTZ1W9GGL0U3bRzvD6+YhY8gRmH3EWJx99AT0Ks1v5y9V2FNASesocdfg4nSsrWnB4i11WF3VbApla1U2Hpdt3JppPL5nGA4Fw1O2y0i2mPnIdbF3IajKzdgu2Yxgk7FOYe+CJy0TU0/9Cw8vKluL0PpliFVu5s9NlqtCrA3vdkKvti4Tt860OcLhCIvTNt6T1HbaYqqkZANKuvfG2lUrJH4vzW0kJ4chJefzJ29Bj0RfoV2Iy6cghRlmpiRh1rThOPOIMWpc2NeJtqkMksPBSiBFIhFWqiRKyQgSea6ZBCnem20230ZRVVOPJI8LyRRzHQyaS3vFxdNp38NQ85m8dnoSHOqEiMWV5oq/jjGI+BBFSoI/s1U+biRBM6PDoD7Y/7yTMfLEI+BJMXvGFfY+UFvLSnazxReKMMK9rd6HkCAWsmcr7mR5ri7FocpypQQ2XQEjlk8bjKwDlXYRpuzWP8zs5fa6XAgQ0bZ6r6XBR/uhhizLxMNtsMdifMyMGZUKKMSkaEBvDD3rBAycdTjcqi/s9aC2QEmiaGkOhrG6shEX3fYgAgmyKMskIoGWrt3I6T+BGWutpWV02bhEtoVX255WiGig2YiAEMpWTYFh9Wiz32b6nXSsiP+T1U2JzuU/fmCvUsw6/yGcMXMqsjJ4JQuFvRfU/rrlpLCl1hfEok11WLy5Hg2BcELvdiI5x470CLM2ZNdBJtu6jFyPs5b6Lh9k+MxI2mb5QUxSvxhKMpIxqWcexnTOgse5b3rs9iVQe3AUdWNLtLkekY2/ILJ1Vdxz25CSJ3ISWCXjhuMgHAnD4XCY50sW1TkkbzbNTYo7d4MvHNU83eZFDj8yLshfpvXYzzxBS8j9BTHnx+jURVxP7LBR/HUxzjxiLI47cChSktx/9J9ij4Ei2hZQA3c4khDzeBEN+tkEJhYIcXJNotQEpNqcVpOvP/l+CaaOGGgq/M5T35sygMR5UkJ0rMUqFSfHTcizTVMjfZ/slTYmUWLbOFZOi5ZekIcBM6ZgzKnHoPu44bu2xSnsMSALPU2sOmclo7IpgPKmAJtkWR+0VlFUIimS6fmdiKzbgOSkJPj9fpZDQZaPW63B1m2ZSKd6nGgO8YQgBtmO01+ZvIXyJYlk8zUfxFLzc1B60AHoe+JR6Dhm2B99yxV2U6S4nRjUIQu981KxpTGIdTUtPJZblhRZklbuDMoWvIO8YYfClVFk8WgLL7aQKwqybQNCLYhW/AxHh5EmAiByGCTqi0Ss2TNfeL11T4t1vmWME/k5aTh0whDMPmwcxg7WPCEK+xyyktw4sGc+9u+Wi2XbGvDjlnqsrGxC2BKXvbtDn4LpSc3MBFtsk3febtmf4XVgSMcs7Nc1h2USV9g3YU/JgL3PWDh7jkS0fB2ilRsRra/UHtxyPo0Ec5c48P2hYAguUToswSH62WLOoo0Rbz58O2bf9m+m1KXIHVrraii5lKT4KADV859B7sTz4sLzjKSz1g83vj8fZmLIy07F9DF9ceL04RgzoPMuvb97CxTRbstq5UliCyPIAR+i/kae7j9G3m7Nsy37NSRJ+GcLl+KGU4+U4rdZTQw9ltvIWmvA63QiEI7GsWqZdLtsNpacJME3NsUGGq/kPeJI/q68t7h/bww8bAoGHTYFnUcO3ueSFSi0DooxI1k5LSSZJUl5dUsANc0hVv7FQOKsq1aSbTUYifczMjJR39CIlLyceLe3RJKtA4L8HhnKWB80ebTj5VSyRdlqxMru3QMdD5qETtMnIX/YQNUXFHR43C50zaElBaFIlJFtktSuqW5GI9WXTpzEvt1Izi+Fr3ID3JnFkmSc5mvapEkn2AbZtnkyEAs0tNLr4p//zNDKiINI6CSPDebMHP26d8ChEwdjxsTBGNG/q+oLCibHwNCOmWyhecuKikYs3dqApdsa0OAP7QF3iuZrYhDaPtmmrOzDSjLZ0i03RfUFBR02hxOO4h5soZwVsbpyROvLEWusNtqRvtDz23rzjAmPP+CH15sUd3dlB4YpVI/mPVoeAJaoVS9XLCV6tsgJxXmujEKEG8rhSC+UkqcZGdBN3491D/5+386FmD6mN6aP7YPhfUpUX9gOFNFuB9hkxpsCuzcFsYwCINiCaEs90FwLBJpNCc4o20c0GsHWqlp0yM1CLBQwebpNsirZG2KzIcnlhE8kZpOkt4Ia08Isq5LMlXUJnVUb79EOGhy4kCneq+FwudBjwihGrmnJ7VzSnluhsI+DHuh5qR62UFsm6WBNcxC1vhDLVEvYWRNNRmYG6urqUJyfY/FkWzJ6ioQjOtnmCUnEwriDNsLwxMwSqRbHSdt2pxP5I4aicOr+KJ42CamdOuzSe6aw9xKNLtkpbJnULZeFWaysbMbyykaUNWhl8+TkTtYkN9J/oi1n9x6NcCAoz6iktp4gIZrNDrvTBWfhYMlTIvLhy58mv7JYuARigMvlwH5DezFyfej+Q9C5mOplKyi0DY/TjoHFGWyhPDJrq5vx05Z6Ji/fXMez+PM2Jik+EhikDIOnOfahvbYrq2Jq58ANU1Qmsm9hOoZ3ysTwkizkp3l+74UV9hHSbcvpAHtOB/7Mb6lHrKkaMeIMUQr+ZEcZ8doWCWAgEITH42m1zeuVTyQiTduHnn4huyTN0cibLfZbQ+dkh0NGn0mIObx6DhCmlopqY0yM6nLZmaORxoWx/TrjoFE9cNCYXigtzPpzbuZeAkW0dxCsQXpS4PCkAFnFiIX8zMtNncjWVINYYw02bq1AaWGuXBtG2pZiUSX5OPWzNI8bzeGwRfJqceJJ30NOqWD2YPMrEscQaaGyO3VAp2H90WnYAJQOH4Cuo4ewBGcKCjsLaoMZXhdbupAlNhRhsawU2+0PRVlSsh2Z86Qkp6ClpdksUbJYgmkAiDHrrfDwiZGGk29dpiWItGWgoQ1vcRFSevZEau9eSO/bB5lDBsKVruJMFXYe1LY6ZCSx5YDuuahtCWJjnQ8ba2lpwfqaFgQjQgElzjGH6tHiTM1E1S/vI3fIdMvEiHuzdbKt9QXxOhrkGcC1K7fzW8dQUpiDoX06Y2jfUgzr2wWjBnRFRprKxaGw86DJfffcVLYcPagDCztaVdmEddXNLJHamspmNAcjrRMJ9mzXAtxorsTTB2yXbP9ekk2luMhT3T0vla1JEp7iVlNkhZ0Hm3OkZMKWwhMSk+MtFmhBLOxHLBQCImHT8dTGW3wt8CYltX5NkTdGItK0joaDqNywGukdu7ESp4xsa84G7lSQxxK+dqZmoWndYiR1GqGPKzG7HR2yMzCwczYGdMnD4G75GN67GOkpKsHfzkI9RX4nbC4vW5Cex15TjGdBh224omNf2LOSEKstR6R6KxAMmIq9C++27uVgpMWNBooHj5OMy3EWlrhYSw4D2pFVUoySYf0ZoZ6S7sH0449Gaq6YhCko/HEZamkRoLZN5IJINyUoC9GilfBKBI/XA7+fZ3c2WrVdS4qmkewEBFwMGqLURm6KF7WBINIdDrjzspBS3BXezt2Q3LUHI9iuTGsWfgWFXQuRUHBQcYbeFyqaeAbztdUtWFPZxOJaSX4uR0RQucTa5fORO/TgOJJN5IORa0v2ceaJCDQh5qsDvJkJ3IX8GiUFWRiiEWpGrvuUIjdLGZgU/lgIBdTYLjl6X6DyeWuqmrG6kpYmrKpqQpM/YuQlEwn9rFn92kI7SbZNI9U98lLZQsS6e14K0r2txMUqKOwi2Fwetgiw+T+VR4yEEKNEzDEgGAwhNyOxx1hWfAhDrCDdIb8Pm1f9hmGduvM4bd3jbU2qaYTPOb3JiJUtxdQjjkL/kgz075SFgZ1zkK2y5u9SKKK9i0ENOT2/mC0yYqEgYv4mRJsbeKbCpnpE6usQrq9FqKYKodoaZLpTkJKSAkd6Jhy2FkQRgNMRA7xRIC0GR4jISBKGV6eiz/jJ8Bbmw1uQi+TCfKQX5SOjuAAZhXlMFq6gsDv0BcrCyjOxGm2SpIUU6011s7mogxuehg0dirT0dE4eSLbESIRDq1fpAOxOwOkGyLDljcHm9MKRng+Hwwmn0wuPKxk2byruPGg2Cjp1RlJOPmyqzrvCbtIXqHQeLaNKDaNnSzDCcx40BVDVFERlox/vVR+N0n4FqKj3o6LWhyZfCIFAGAF/GH5/DCFHGDZXFEiyAREnbBEPot5ByE71ot+goSjKzUBhbiaK8zPZdlFeFgpz0qWSMQoK/9u+UJyRxJb9uuXG94XmIAtHqmb9gl4HUKXt84ej2tgRY/lBaCwhqSwtJPV2Oighpgs5KW5kJ7vZ2rpkJblUnXeF3QLMQeB0weE05kdzzjkXoVAIdoeDtXNq7+SgCEfIYUFKwShsYT53oj7AFkcUnXv1waqlPyDF5YAtSvmcgEyvk4V1JDkdyPA6keV16f0iL82DnDQPXI4j/6f3YF+ALRZXDE1BQUFBQUFBQUFBQUFBQWFnQWG8CgoKCgoKCgoKCgoKCgoKuwiKaCsoKCgoKCgoKCgoKCgo7EIooq2goKCgoKCgoKCgoKCgsAuhiLaCgoKCgoKCgoKCgoKCwi6EItoKCgoKCgoKCgoKCgoKCrsQimgrKCgoKCgoKCgoKCgoKOxCKKKtoKCgoKCgoKCgoKCgoLALoYi2goKCgoKCgoKCgoKCgsIuhCLaCgoKCgoKCgoKCgoKCgq7EIpoKygoKCgoKCgoKCgoKCjsQiiiraCgoKCgoKCgoKCgoKCwC6GItoKCgoKCgoKCgoKCgoLCLoQi2goKCgoKCgoKCgoKCgoKuxCKaCsoKCgoKCgoKCgoKCgo7EIooq2goKCgoKCgoKCgoKCgsAuhiLaCgoKCgoKCgoKCgoKCwi6EItoKCgoKCgoKCgoKCgoKCrsQimgrKCgoKCgoKCgoKCgoKOxCKKKtoKCgoKCgoKCgoKCgoLALoYi2goKCgoKCgoKCgoKCgsIuhCLaCgoKCgoKCgoKCgoKCgq7EIpoKygoKCgoKCgoKCgoKCjsQiiiraCgoKCgoKCgoKCgoKCwC6GItoKCgoKCgoKCgoKCgoLCLoQi2goKCgoKCgoKCgoKCgoKuxCKaCsoKCgoKCgoKCgoKCgo7EIooq2goKCgoKCgoKCgoKCgsAuhiLaCgoKCgoKCgoKCgoKCwi6EItoKCgoKCgoKCgoKCgoKCrsQimjvAJ566inYbDYsWrTItP+rr77CzJkz0aFDB7jdbmRkZGDs2LF45JFH0NzcHHedUCiEwsJCdq1XX3211c+rqKjAqaeeitzcXCQnJ2PMmDH49NNP44579913MXv2bAwYMAAul4tdtzXQZ998883o3LkzPB4PevfujX/84x87chsUFPaKvnDdddfh0EMPZd+VjqPrKyjsa33hhx9+wPnnn8+OS0tLQ0FBAaZMmYLPPvtMNQaFfaovbNq0CUceeSS6du2KlJQU9j2HDBmChx9+GOFwWLUGhX2mL1jxySefsGNpqaqqatc5ChyKaP9O3HjjjZgwYQK2bNmCW265BR9//DFefPFFTJ48GTfddBObzCdq6OXl5Wz7//7v/xJeNxAIsGtQR3nwwQfx1ltvsQnQQQcdhHnz5pmOfeONN/Ddd9+hb9++GDRoUJvf97zzzsMdd9zBJlYfffQRG1Quuugi3H777b/rPigo7Gl94f7770d1dTUOO+wwNuApKOyLfeGFF17AggULcPrpp7Pr/ec//2FGWPqcp59++nffC4V9G3tSXyCik56ejuuvvx5vv/02+57jx4/HBRdcgHPOOed33wuFfRt7Ul+Q0dTUhLPOOgvFxcU79bv3ecQU2o0nn3wyBiC2cOFC9vrll19mr88444xYNBqNO76hoSH20Ucfxe0/5JBDYm63O3bggQfG7HZ7bNOmTXHH/POf/2TX/vbbb/V9oVAo1rdv39jIkSNNx0YiEX37/PPPZ+clws8//xyz2Wyx22+/3bT/rLPOiiUlJcWqq6vbdR8UFPb0vmA9NiUlJXbKKaeoP6zCPtcXysvL4/aFw+HYwIEDY926ddvu71dQ2Fv6QmuYOXNmzOl0xvx+v/pjK+xzfYGOGzJkSOy6665jx1dWVrbjDigIKI/278Df/vY3ZGVl4aGHHkoovyAZ3tSpU037tm7dig8//BAzZszAFVdcgWg0yiQmVpDVqVevXkz+IeB0OnHSSScx7wNZxATs9vb9Gd98803qUTjttNNM++m1z+dj30tBYV/oCzt6rILC3toX8vPz4/Y5HA4MGzaMSWkVFPaVvtAa8vLy2DWoXygo7Et9gaTu//73v5nSSbX/nYOaae4ktm3bhp9//pl1DIqHaC+ok0QiESbTozi40tJSPPHEE4wAy6BrDxw4MO58se+XX37Z4e9M16QBg+I9El2T3ldQ2Bf6goLCH4G9pS9QPCpNsPr167dLrqew72FP7gv0WdQHamtr8dJLL7HvdNlllzHyoqCwr/QFcsCdccYZuPjiizF06NCduoaCIto7jY0bN7J1ly5d2n0OdY4nn3ySJUGYNm2anoBp3bp1+Pzzz03HUuxodnZ23DXEPnp/R9HaNSnpB8Wo7sw1FRT2xL6goPBHYG/pCxQvuHr1ahZTqKCwr/WFu+66iyWKomvNmjWLEQ2Vx0ZhX+sLlKuAiD4lUFbYeSiP9p8ISkpAk5dTTjlFl2CQbJs6EFmprGgrG2B7MwX+GddUUNgT+4KCwu6A3a0vkETwtttuYx68ww8//HdfT0FhT+sLRGgWLlzIEsZeeeWVuOeee1hCNAWFfaUvkOT8gQcewGOPPYakpKQdPl/BgCLaO4lOnTqxNVmX2guRMZAyfdfV1bGFUvtTVsvXXnuNvRbIyclJaIWqqalh60TWq+2htWtSps1gMLhT11RQ2BP7goLCH4E9vS+QB2XOnDk4++yzGblQUNgX+wKF1w0fPpxJfe+8804WX0slvpYsWbLT11TYd7En9gWSqx911FGsH4jP9/v97L2GhgY0Njbu8DX3VSiivZMoKipidejmzp2LlpaW7R5fX1/POgdhxIgRLCmCWCgWjhrw888/rx9P1162bFncdcS+/v377/B3pmtWVlairKxsl11TQWFP7AsKCn8E9uS+QCT7zDPPZB6URx99VClFFPbZvmDFyJEj2XrlypW77JoK+w72xL5Acd2vvPKK6bMppILQrVs37Lfffjt8zX0Vimj/DlD8AiXLuPDCC+OSE4jac9SxCNQpKLEA1c6j+ArrQkXmZTkIWbGWL1+O77//Xt9HyTmeffZZjBo1aqfq2ZEMkCQk//3vf+MSLpA0hGruKSjsC31BQeGPwp7YF2gMIJJNWWpJOq7CMRT21b6QCCImtnv37rvsmgr7Fva0vpDoc8kIKyoY0Tih0E7ohb4UdrguHuH6669n+8aNGxd74oknYvPmzYt98MEHsZtuuilWVFQUu/jii9lxw4YNi2VlZcV8Pl/Ca1966aXsOj/++CN7TfUa+/XrFyspKYk999xzsY8//jh25JFHslqOX3zxhenc9evXx1555RW2HHTQQew64rX8XQlnnnlmzOPxxO655x52nWuuuYbV1r7ttttUC1DYp/oCnSve83q9sf33319/XVFRoVqDwj7RF6i+K9VnHTp0aOybb76JzZ8/37So2sEK+0pfuOGGG2Jz5sxh16NrvPnmm7Fzzjkn5nA4Yscee6xqCAr7TF9IhBtvvFHV0d4JKKL9OzsOgTrLMcccwzqKy+WKpaenx8aMGcPILBWh/+mnn9h5ohMlwvLly9kxF1xwgb6vrKwsNnv27Fh2djYjAqNHj2YdqLXvlWg55ZRTTMcGg0HWWTp16hRzu92xnj17xh566KEduQ0KCntFX5g4cWKrx37++efqr6ywT/QF2m7tOFrWrVunWoLCPtEX3n777diUKVNiBQUFjKSkpqbGRo4cyeZIoVBItQKFfaYvJIIi2jsHG/3TXu+3goKCgoKCgoKCgoKCgoJC21Ax2goKCgoKCgoKCgoKCgoKuxCKaCsoKCgoKCgoKCgoKCgo7EIooq2goKCgoKCgoKCgoKCgsAuhiLaCgoKCgoKCgoKCgoKCwi6EItoKCgoKCgoKCgoKCgoKCrsQimgrKCgoKCgoKCgoKCgoKOxCOHflxRTah2g0hmgshkg0SnXM2TYvsmZUWrOxxQabDVi29CdkZWaitFMJf89GC71nZ2vYHXytoLAH9oUI9YFoFBHa1l5TvxCFB0WRR/0fra3bbYDDbofDboPTbtO37aovKOyBoLYfjUn9gF7TAt4X+FgBRKkXsP5ho3cQY6MF9H7gctjgdtjhcTrYPgWFPQ11zUFUNvpR2RBAVVMACxcuRGqHHojAztu/jQ8HNmrvTjvcTju8Tgc8LjvSPE7kpLiRlexGVpIL6V4X0rxO1icUFPY01DT6UVHnQ0W9j/WHioYAqpuDCIajrC+I/kB9Yd2PX6PXiP3g9brhdjpYu89P87D+kJPqYf2B+oXHqfrCnwlFtP8g0AQpGIkgFI4iFInqpDpCPEGQZdPaZnpN8yPaQ+uXX34ZM489Bh2LC2mGBcSisMWibM2WaBQ21t2IfNtgczhgc7phc3pgc7kZIVdQ+F/2hVAkgnAkilA0ysm1thDEvzKxZusErzmxMN5LBOpDLo10uxw0CXOwgYW2lUFKYXcbF8jQGtb6ggyToUlr+4xox6AZp/iaxhQ6n64XsqwJTocdS77+HEUFBRg9cjhykl3ISnIrEq7wPyfTP2+swy+b6vDblnpsq/OhqjGA6qYgwjSnIaOp3cbW61+/F91nXgeHywmH084Xhx1OJ1+IbHs0wu3RCLfX5WDk2uXk40Ca24nMFBcyvC5kJ7tRkOpGfoqHbSuDlML/EjUNLfhx5Rb8uLoMv6yrxJbqZlTWk5EpiFDMDrvTzRaHywUHGVBFP3DQe7w/UD9Y/dqz2JjaGw6Xg70njFD6mvY57EhPciI3xc37QZoHJZlJ6JCZhMI0D5x2xRd2NRTR3gUgwhAMR9gEiqxMNMGhCRUk4iy2jVftgHbo+vXr0blzZ20n+S+Ye0Nf9NfRCGKxCBAkUi+IeAygTurywubywOZOAmityLfCHwAiDaGwRqq1hfZZ0RZRNh1nOt7CvC3HyDuCkShsESAQjsAWCLO+R0Yrt0a8xYBDJESRb4U/nlRHNGIda/VRb32H2mx7+0lrIALuC4cR9aajzp6M7zbWMhJD1830upCT4kJusgf5qdzrQR5xBYU/glQv21DLiPXPm2rx66Z6bK5p4VMcps4TKj0i1tw7J/oErR3uJO5A2E7zFCpAW9w+GwLRKGpaQmgMRFDWGMDyClJBkVHWhpxkNyMegZpydCnMQ6fCXEW+Ff4QbC2vxq/ryrFk5Wb8uHIrflq1DRsrGmCn9u1wwu5wwuZwwU6Lk5b2E1+HN63N+Yxw5gVCUVQ0BVHrC2NDnQ+Lt9Sz9k7GquL0JHTI8KIo3cuIN/UNZYj6fVBEeydAnml/OIKWYBi+YJhNZmyWBz3f/n0QvLy5uRmpqamcOLMvoH8T6UtZXssIBRAL+skfIlwjgCcJ9qQ02JLSYXN5f+c3VdiX+wIRiGA4zIxNRCSsnmjzCa220jY+g5+oS8jNl4sn3tpES0zSZAiy4yfiLbzfTvJ8OOAmK7Cy5ir8jr5Ahh1/MAJ/KMy8zTsyDliPY+1Xasi/h3Q31FajoLS7HpJB362yJYiypgCisUbmJac3ClI96JqTgu45KYx4KyjsDMjQumBVFT5Zug2fL9uGjZXNvBEzQq21d5tNf1abWr3Qhevt3YbSwy/Vjos7Qew1KQJNb8ihePJbmmqQ2n51Swi1vhBqKxqxzZaOBZVbkJfiQYd0L4ozkpgcXUFhp/pCOIKvFq/Au/N+wgdfL8Pq9Ztg96RqhNoJu52vdwW6HX1F2wdo/U9W1PJ5kAi5s6GiOYBafwgrqpqY4ZWTby+Kkhzomp/BQjEUdgzq6bED3omWUJiRa38wzCcmrcygxFuWkNKdQuunCjajebO3S19khhMDAs2I+puA2m3M402E256cAXhSlIdPoV1e62AozIjFjsz/Ex+b2ONttGpOshMemoDU27S5GuuDrP+10lltxqQwGokiEArBYaOYPyeTWhEcDscO/DqFfXVcIIOrPxRh+8wKpp1HIi/3zuLLt19B98EjEoZmaK/YmLa5wY+N9T58troKWclOdM9JRY/cFCYtVLkPFNpCgy+EL5aV4dOl2zDvlzI0tITM7Vl7DvNnMjdMmfzWtvj5EzsFwNqXb0HPE27WDmulY2mecU4mdFpuEAvBxsXhlveqtm3GW/++H+f87X6W/6CqhTx+Ifxa0YR0j0Pz8HlZnKtSQSm0hfrGFnzw9VK89+VP+OibZahrbNHbaHj9PLh6TEfMHoONDJ+aSrUNStFurHzuBvQ99bbE3UM3NmnKESlslYRMFKbB1pb3qL9WNgVx9emzce3D/0VOWhIj3iQ5J1WU6gvbhyLabYAm4M3BMFsC2iRKgHUIMVHZhWo7Yyzg/wYCAbjdv8+zwKTlbSEcQKyhEtGGCp5YjbzcRLqTM5TEXIGBkpVRHyDPtYj9xO8kAqYI7da84LJoYzsx3G19jkG649+Xd9FwFwqHEYkAfzn/PNxz913Iysri1meVZE1BGhdapHFBeMfaaiI7Gjn0e2Xj7BraPwF/C9zeJBbPbVxbJFnTIo/k14ihujmEqqZazN9QA6/Tzkh3z7wU9MpPVXF8CgzldT68/8NmfPLTVixaXYWQaGAm8EbPibNEJ6S+wJsjf09WBPJtTYln6TtWz5wgEnaNihskWiMWsrTc4ukmzP/gTYw/5CjpesZ1mkNRrKtpwYZaHzwOGwu1yEv1Ii/VrQxQCgxbK2rx2ieL8O68H/H14pXMGRGnq6Nm7ElHzF8PpOSYQkCFdyFBU9fau25FMnUtwRmikSD3jEv5nsSbeh8w9Rnuxdb7iEy6tffEdkNVOdKzc+B0udASirB+sLXBj2SnA7mpbiYvz0hyqb7QChTRTgCaQJF1ltY6LJKkXWF9agvi2tu2bUNxcXE7z+IWMt0daOxup9ebemsYsaYatjDSnZYDW1oei+9W2PdAgwXJYIMh8lzvKv9a2yTbSjCsTdl6Tnv6YmskO75/84EnFAqxvpeSnIxQwM/CNpxOFxyU30B5uffpcYFItiDNFidZ29APbM8Zu7avnXXjvXyiJnUu3ne0/ySCbZ738dctwSh+2laPH7fWI8lpx5COGRhRksWS6Sjse/hmeQWe/WINPv1payvkmoP3E+MJrfm0mQ9P9AL9XeuDXOtksXAAWf0mGLsE6TCRbIlE6GRC/CclnJX6rPlYYPD4SSjt1ddyjHG+QCgKFuNNMa5uhw1FGdzDl+RS6qd9EZ99/ysefflzvPvlj0wmblbR2SyTjxjsWd3Ifaw/fZlXm9Qdbc3RtYaa0NivNeZYOIyc/hP1vAfieBPBTiAdj9u2kG22z27HjJPPlvbzNYUg1bQE0egPM4k55fzITvaw/DcKBhTR1kBxm43+EBr8IZPHrq1pUXvJ9g6TcsnaWlZWhsLCgvadZw1YTZSeuRU3ie71ljW6RLrry9kCbzrsGXlAEnm5/0gTg8LuIA0nWTgRbJLGxna1jhU77qWOtXmMkF3tfLs0cixw/LBoEUaO5FJblnCQyi4FfIj4Gpl32+FJhs3tVX1hHxgXGvxB1PlCzJMtJvC6rHWHm1x7W6nR4VrrdrEdGBPefeoRzLzoWvNbZkeK7k3RM/sL0m3ajqE5FMFXa2vY0iMvBaM6ZaFnXqryZuzlaPSF8Or8DXh+3hqsKW+KN+AnaJAxjajK78fHZfPrmI4VsAHh5lqklQ6M84SzoyUiYfLOtUkuhIfbiNpePG8u0tIzWI4Ofl2r19v0lfSd4Riwpd6HrfU+ZnQiebmSlu8b0vCn3/kGj73yOVauLzO9F5f02DpfdnoQCzYj5s2wSMc1wt2mjTYu04BuZAr7G5BW2s+Iw5baLovD1v5jLVwm0UjsxaakhLz6EfDdR2/hiFPm8PdZVSRxnLFN372Wkg36QkjxOJGR5GbGJ5viC4pok/Sv3h9Ckz/0R/AIM3ZiYlZeVoaCggLLYJWAFLcWvBq3rb3WCfd2slOJz/PVI+qrYw8JW3oebGm5LDOiwt6DsBanbA2T+LNhJtTmth5HzEX7tcXH9tGEDjvBhej4zz//DFMmT9IolWAgXMIYC/oQ9jfyASwpjeU22FXJTBR2D/hCEdS2BNDg56omXYqntcnEkwfhr4s33IjJ1w4bXPV41sSH6JLb7ejMt21Yg10N6nsrK5qwoqIJmUkujOyUhRElmUhxq76wN4HKbz335Vq8s2ATWoIRc1ujiTir5y4sT21YgBLnMdM9cLoyVt/P+0vtL/OQ3m0wknIKTF5sE6GQpeGCXCT4PKtHW1zvi9eexUX3PMbPscjGZSIf977k+SZjHM0lKcyiIM3L5OXKs7d3YcnyDXjs5c/x4gffocUf3LlpfiSIaN0GONK3o1SV3cwm4m5ul+Ktmt++QXrHnkjJKzKdytotK5XHHel6LDYj0pR5n79Pa3JEy2SblhWLvoWvqVEn5tb3eZ/Q3tP6AuUrCYX9cDlsSPW6kOJ2sc/YV+Hcl2WANc0BnsBGtpD+QTDCuXeMbVdWVqJjx46tJj0ze6LbItvSPp2taKXB2vzSsfh47prNiNVugS01F7asYlazW2EPl4cHucfuDzc27WSmcZNHO5GvT2PXwrMtexx3xvG4ePFiXHWllsFT73eilJ5Wxz5Cio8yRGq2wJ6cDltmkQqx2MPRFAihvDHAiLYsSzUsONqBekYn2bpjEGMZekiC5bOsjg8TJBnJ9vqktX8kQkGJKA+5ayE+l8omffBbOeauqMDQDpk4sGcei9lT2HPx/apKPPDOb1i0ppp5qxI3MCHhJm9cO2VPiTzXxtUMb7K2+MrXoHDsUdr7BruOk3cnkI7Hf5YlTpXmgg31GD7pICSl8ESwiWTj8V5zWYoufT7l1QnHsKnOhy11PuSletAhI4nVMFbYczFv0XLc9K838M2SVfFvmtQYclCE6SA+W6djHR5yP7f7s/XxJ15XoW9S2/OVr0PBsKnaPrNsXJBihynxmbboJNt4LZPpVT8twoHHnGTyXtN1HFayLZXWE/2B1JFN/iBaAiEku51I9rj2ycou+xzRJm9ddbOfW2bjJE2tdZLfh+3Gh7aBmpoaDBo4sLUrGx8QH5TNJ30mMtKWl7uN6yfUhMUQa6xErKkatvR8TjKUV2+PAhFrXzDI1oZ34g9RiHNs58LbzTQuv5/Ig2fpxzsbsuH3+2G32+F0OigLnKVuvSiRp9Wpp/djERZeEa3ZCltGPuy5pbA5FcnYk0Bx1yT/bApE9AlFnDyiFSJtRoJW14onr83GKZF3+vjEh7YtLZdxxJkX7tIcC/Ffg187HInh+401WLy5FuO65OCA7nlIdqvY1T0Jv22ux71v/4KvfqvgBLs1mHg1f+Lq9qFWDteJr7WLiEzhIg5VkGmbDR0OPAsOT5LFi22VjUvEV5aO64TZ7IEWn0nP8uWL52Py0ScxSa3wyJll5kJ+K7x2lmtJxF0n8tr+quYgaluCyE/zoDDdq5II7mH4ccVGXPfQq5j77c+tHsNmG1pYTesyaWO/zemFveOodny61BdMiTaN0Aa5L3TY/yR40rJMhiRrTLWZcGskm4izRLYFgaZjNq/8BTNmn420VB4apJN0jYxzD7ixGF50iXCD95dAKMycOkluJ7zufStb+T5jWgiGoyirb8Gm2mYzyd7NUV1Tg+zs7D/hkyxy8nafFmVeveimpYjWbUMsao5vV9j9EIlG0ewPoNHnN0j2H402CHzcfottKM6rzeKaEuzfCVhtxPTsX/zDDxgxYoSmhDRINvNiC2+2/loi3ZEQYuVrEV72KSKblyMSSiwtU9h9QJ7rFRWNWLatAXW+cFx8sgHjxe+lq7psVX5tIQHtv5IstW3tEBuevOMahAMB/FkIRmL4fHUV7vh0BT5bVRmX90Rh98PGqmZc/vQiHHXvF/h6eUV8e5QYqkwy5fctgur4eNVEkDqD3JbpWr7ytWje+LPGNQwCLRMNHk9q8S5rlxWTfyGTNTIs8/+WffsFtqxeYZHamksc6V9RUrfEebO1b21KLKXtpZZPydN+3tqAsgY/y3uisHtjzaYKnHz1Yxg56yZ81AbJJlDis1i7Ht7CShtDpOyn9j/dJeOTbPiRLTxRfzNqfvlSb5smz7QgxkI2LknFnTq51haJcIcDfrzwwK1wOhz6Pqc4TiPnMnmXSb05oRpM21TVpbnFh6bmZubU2Bew1xPtcDSKikYfNtQ0oTEgZRHfQ1BfV4eszMw/+FMsNbZ3BtEIk5Qzwt1Q2bYlXOF/ApLx+AJBNLb4mWXxT7MntsNLvt3mIgVut5uw7yTmz5+PcWPHmEi2TqZNi9mzzfpAJMJjuNf9iAtPOALVP3+vjE+7Iaj++2/ljfh+Qw0qmgKsb9B/UUuCMLaIbUukws6gXbxjB6+nk482jklJy0BTfS3+TNA9omzl7/1ajts/WYn562tYcjmF3QtVjQHc8toyHHrnZ3hv8Rbzs1jyLJsgvGxsW99pkazuiOnITKAFe61fOR/uzAKTl1r/DD2pkzVeVCLTCYiAbuiyAd/PfRsHnXimlPgsgTRclpBbjWJ60rR4kq07IzVQhuatDT78UtaAqqaAmiPthiivrseFdzyDgUddi5c++D7eip/QF6W1D5EUxgImF9c6FTuCtoNN2/8yFoWHTTcoxYdPNG1ZDjvLmaRRcIncyh5qmfQapNouebMF4QY+e/m/mHHKOUhKSooj4uY+JRFpKVGaOSGhzfSdKCT2iMMPx4IFCxAOhfb6vrDXSsdp4kQx2LW+oKku3c7Ea/7ZkL9fc3MzUlNTdu4qO6wD3gWNnbx6VRuYlNae0xG25D/aSKCwPdBDjGQ7QXqgWRV/7YCkYt2pFpL4nPi2mSD4oU2vtWk+uL0v0GqKaHkSxeWPP/64BOefO0fzWstyceuiebc1kq0vkQg2bClHdXUNkjf8AH/Zcrj6joOzuPt275XCHwtScKyubmY1celvTpMG1gqoVAm5nuwi6ytNGrQyRHqz0V5Lsf/8yB1AvKrcWLeR9Gz7l0rcO8V1xx50BFxu95879kldvN4fxqtLt+LLNVWY0b8QfQvS/8xvopAAwXAE//lsNZ78Yi1aAmE+2dU8bkIIbs1vZiQE1JJN7lQnENcyFBkygRaSWf52jGdS1nmHQe5lybiJYFsyjhseanN8dsjXgrNv+jtcTqeeeVmQZEYYzL55yRCQ2HtuJdmJb4sN4WgMm+t9qGoOoDgjCeleFWb0v0YgGMJdT7yH+57+EC2+oIko8JVlLBDpOeS4UPH8toYKaZ2GchjwzQhsSVaVqtaaLAYtQykhGa+kti0aXaixGhndh5qIrcmbLW07trOQl3vr6uU4+MQzkJTkNe3XybiQnCcg8GbyLe3Tvu6G9etx3rnn4O/33oP+ffsiTNVcApRn2QuHa+/M97RXerQpwdnGmmZW362NUM6EaPU9U/zoHwOTCkt7QdIKj6e1Gtaig1uFh8aVTMUCTMfxDsvfl5Mt/J6pmHTtcADR8rWIVq5HLLLnKQn2FkQiUTT7AqxcF0GfpGjvJ/qLt9oCpFi3nYWQ5bbWn0xRp3HW49h2J/RSuGiCz03wmZauQ5PNpqYmpKSkmM4wy8Z5XDb3ZHNyTSET5M0Wr//xyvu44IjJjIRH66vg//Jl+L58DdGAb+dunMLvxurN5Xh76Qb8Ut6IQCSKcCzGvEy0pskvbZPDlXm1rYn45BJY4oLa4GLOLdA+xD2t5Uf5H2AMzsorQGNdDf5MyGRHEJGqliCeWrgJLy7ZvEeFcO1t+HlzHY576Bs8+ulqNl8ye2ElL7ZOgA0Sq08ZxHuteHvjvb8ySdY+Qwrm1PuDnV87WF+BvBEzYLfzEkEy0TXk4lIiprhM4AmItyhxZLPh7f88iI0rf4mL8ba3M9O4QXhsrZJscx+wJk2LYn1NCzbWtrDnj8L/Bot+WYuRs27GrY+9xUm2+OOJB75mWdXsPjqM57aYr1CMtkHMxb+GoYYb6GM2J+y5vaXrGA9/ocIwvNZmDzY/zEy86S0i2anF3XSvt4il1smwhSzLa6fl9ZbVv+Hlh+6A02HnUnEpIzl/bVxTJ9N6iTD+NY3XBsmm9bp1axnJfvzfj6Ff3z6SIjCEcHM9Qs31e6UC0L63ebErm/zYWNuMoCUmrC1vmHmnVs8u0bHabOqPJ9vGv6yuXmu6wDiinPhqiXcnItu/l2Rra2kUijXXIrJ1OaIt9b/j2go75cUOhtDilyVqUuuyNBl9u5WJvjy52FkaoA89lj5kzdG3Q/HXCQiQfE6r3nTL7xITIKpbX1RUFO+9tsrIdS+22Zsdi0bQ0NSMNVvKMLR7CSfftIQjCKxcgrrn7kVg9bKdun8KOweSKy/cVItvygL45P138dk7r3Ji3cpC44ghITdqSSdqY6b2uRMDg9wX9SeoqQ/uGspdW1mOJV9+gj8L8twwjvhQkqGt9bj/y9X4tbzxT/tOCjxXzT/mrsCpj32HdZVNOlk2pKgyqZbCEixEV/dGx7PJVpc4kp2AwMsEouyrZxELBYzPljzdBiG2SlTFe/HEW/a2RSMhbFjxM7r2Hah7u7kXewczjcttO45kG/Tfmpmc3zu+r94XwqqKRjT4Q6qJ/omg+dG1D72C/U65Hb+t2Rr3rCXFhslRlVDWR5nEtSKg9MfVBwitf5gmIjZ+jK8K0arlps/SwywSEmypzVkNNzYbwr56bJr7f6a2b01cpnujJam400GLna+1+GvqA5+9+gwuuP0heD0es5xcI9cG2eaE2xSWIa8l8m232TDviy9w0QUX4D//eRydOnbUnBYR2OT5U6AZobryvc4hsddIx8kqW9bgiyPYMqwqp4RiUv0g87ttKqRMh0oZancSJgLUbvIr+0eEfkUUE7Y+HWRZOd9mshbTr2y3MNdyXbEWdj0a1cLcs52SBXt2MWz2vabZ7bZe7EAwyAhDooGB/8sTeCSMLtDOiTvV8v7Oom0SnPigRETHericHFrvA1I9bZPnMa6L8lfLli7FoIEDzF/ARLYlrzYNDOTZtsjGX/zoKxx/wCgtZjvMlmg4jGgohHBLE6pf/CfcPYYga8aJcCSn7uxtVGgHtjX48enqSjQGI3DZbRg+5VD866/noOT/2bsOOKmJ//u2717j+h29d6SLFBGkKIoVCyACCgiKBSygIojYEBGkNylSpdkrKCC9Se+9c1zj6vb2/8wkk0yy2btD0B/6d3RINpvLpk0yb977vm+VGqheV8jmwNgGcv/oRUabOX2T56+gwCCdJLHdcPJx9VskXIBCuCe11oBX8Aa1M34z5arVxNqvv1D+vvrVID4PeNDPyp/dDQaQ2DwDG2SuwO3Hwj8uoGHZUnigbipspv/cyf/Ksu9cNnq+NByGWx7gL47ItEmPSxESCve58Abn+hS0CINPtG2ILF5JiwzQVYBesQzw5GdQWa41vrQGmFaaMDHQLQHmEDCulpPr4Pf58OjAoTDo9CEsdjincV5KLmMi9j7VAtnyZ34Am28TrJCBv3NXHTQffelSNgp8/it/Xfnj0Bn0fXuOALC1Hnj8tVOzD6p1afthvWf1OuopaWqeQugs0fJQDQes5UpkHeTe1IcF4XRWT3wMtiOudgsuhltO36WWhBOQLbPY8jxZnn72BC6eOIwBI8bI4FuD9WbgWzZcUzubc7Jxkc2d//lcbN60CSuXL0dkhFUA2EwRyGVvYWF6vrwM6C0RMETHQ6f/578X9P9mFrsk5Xr7MVJ3XKF2lR1rS7J9JVt4HUV643Eb4odcOQB8bdu7DpAtHZgOQUcu/GknEHDmX8N2/yvXymI73YK5UzjGDGE6+kW8b/7yIstzwziKcyZowZKoS/5kwz5w4ABuqUeAthh/xXLNcwBbMS+CaxlQe/HNhp14sEV9YRkF2D74PV743V74XB74HG7kblmPLYP6YvWcWX9uR/8rxZpgrjmRiQW7LiC9UEhhRzqzAZ0eT4/4BLboWLjdHoHFJhJy8h2bF8G2UEV2W3EvhrLYYRUaXNEV2fauLyiDZ8tkiaq8xVJx8XjytXdC4lQVAEea1wBBf3rflEye+llDlu+7nIeJG05Rc7r/yl/DYk9dcwLPLtiN7AInsnf/FMoCizJsNXBUy8iF+zaU3S55Zb/F3VOqe47MmGMSUeGe56X1SU9VkoqHuB2rjZlkkBF6vwu/umbZ56hWr6GSnVaBbYVkXLFMS6LO3de8RDykrbG1tN+1uU4vjv/Hbv/FLPZKtO79AY6cFkG2VlGkVCyuMxH+eoasSe5Paxz0USmqm0fRGDmQLc7r9aFstnh/R5WrifhazQTJuMpVXCv+WmCylQDakZuNRR+/jYYt7qDfmRSAPBzYllltIc0XM15jTLcw/DD6gw9w+tQpzJ41E5E2C+0zURabhJSK8xRkM4WgGJoXdObDl3UeAVcJjONu8qL/p+fEJrHYJE/htZQSychvINguvnANVaO1XosjH5WmqBCTQv5yraWEsrDiQLY0H/AjkHUe/qsX/5WxGP/LlF1Olxs+n0/RCdAaUZfnODkfbqKipq01QHZJYmLVISAlKYcPH0bdunW43PTabLac0kt8YdDqx8Y9h9C0RkWYyVuGgW+vFwEKtD3wk2vkdCM3txBDvl8D+4J5OPbee/A5HNe4p/+VcIXkw5608QzWn8qig68EZHv9QVoJoLZFl6J5zie88TwF5EwuTgA2GasNhJGQowSqiiLVGvyjWQWyb9QoF88aq1nCHz6fBo+T3GfKWMCQdVVAi3/MX/P+qJlsfgyYW17g8WHR7otYse8SjV39r9yYQiTJT8/bgYXbztE0U2Vad4M1vgwCHrsM+rgLoej3Fwe2r6V7oADz/DZ5nEHAA4nNTsfFVVNhjIiUQbmalaapipTpihi4kJbzTuTc/Z2TfhkXTx2j37F7lG+CTPKqANQ8YyfGm/KDEvK9HjqwpBhoUKQD0y5kQJDGbl+1/+fSfwPLvmPnaSz22Hk/yWlNVQ9qXvkt9R9ESZwU+iZO5e4JlxIyZEvKj3Q9Tz5gIh4w3D0hMdUywCbgmtzMAsiWgTVdV/Qx8LvtKDx3ECZblJTCLkQiLoFsJhMnIFrpNJ6XeQVPv/EuEpKSQkA2+yzLyAWAzdhsHmTLcnIgPy8PvXv1RGpKMj547136nSAVJwBbBtmSGlAE2MIysX/l88J/9RJ8Of/s1MH/WKBd4PL+aRablJJ01K91e1rT6y3EWt/pvJZ4BcVYq3J5SE9Jd/0sNl8VIJtfzv++MA068uHLPIeg779cw9dbCLh20xy5wdDObJFgW/ikWKeIAZ+/ovCpk7TZbG2QXex2pX+ureTl5SEuLlYDZGuk+hJfBtQITZSJT/tqNQZ0vgNBnxdBCWCLTLZTqM5CF15fuwMDqlZBctCIi1/9gM2P9kbh2QvXvsP/FUXZdSEHn64/ScE26bD6RIBNALVQBeOz6IQkVG/YFL8smy+YoklmaKFTIfUXZ4gmdcBCme0S3Xjq9smzYX+i6fGAXe7k8+1amC+VkICTB3ZxzFpRrLYKaHHb0txxbj6EwZQACBetKu2c8qj3Xs7HzK1nqJHpf+X6ytpjGRi4ZDcFbcw8TG80ILZ6E2Tt+glXNn1BZa8SIOVYY7kzHxqzLQFy/bWz2Yy9DrlPyLZEuXTams+Q0uJRxfeSHFwjdy9LX6ReTg+B/x3xLjt9aA/aPfIE9z2TiHN/J7UlbWk72x6fb1sNsoXbW2Wgdg0lh8RuZxbQVIT/lesrK1bvQJunPsSR05eUnX/VRVH2hUQbcUW/STE8KszRG5tTEBaxYTIJZJ8QmWqu3yw+HyV1BwXXStCtaCvifO7hjTBGRMnhFHSgiYvB5ubDMdrLJryHhMQkVKlZWxtkK9hvqAC33AZ58H3qxHH07NEdrwwejGf69ZEANAPWOr9PBNziZ+k77TSqFC9k/XPxwj8OaJPRo6xCF9LynTcUKGv+1l/+C2F+NxjElMmT0aJFc3g8HuTnl1RSp/Uo5xln7jMPgMV5iflWdH6KqsohbcKmB6UHCP/GUcljSOIcsp7PLUhD3P+xeX/2PiEpu0gNuQuuCWxr3jXyLfIXlGIl32wEOBDEvBlT8WD723Fgz27F1wo57zUCcXUhx0ni9gwGg6YJGpORK1N9cS+DQADHzl5EbKQVKTGRlMX2ezwKFptIxr12N0Zv3IOOKcmoabTCU+CBw+5F2v6j+KbDYzjyy5o/sff/FdIWVu69hOmbz8LukRlsQTIufGYgmzqNB4Jo9/jTqNPsDni9PglsS+sEeAfy0IEgJbN97Xec/DhWdt+KO8Y5M6bg/na34+De3YqxU1lYpEo5xDHU9Zu3gcsuMJnKdcKBCRV4581u+GXivLacVwlglPukeZC4UuDGtM1ncCrb/t+N/ScKuU/mbj2L934+Ck9A6PzqDDLrSzrqZe7oCoPZgryjm+l3DOjKoJdPicW5fIuMsXLdawDbYvdA2J64HW6/CPBPbfU4IpLKh34ngmzGcp/6dSlWj+yJq2eOhMjGFfsuMtDsvq1Yoy5qN24eEtPN/718P3PO4yrWuqQgm7XvIsWAYYrLF8CxjEJKLP1X/lxbeHvqV+jx+gw4XGIWInrelfx06AeyGhd7HW4l9vxX59AOGYEVP/k9gMGsaBN835gCcL1aMs6DbP7e0cF19RLiarfE5U0rsXNcPxReOKaUejPDM70eJmle/n7D14sRFVMKyaXLKGK2eZBNvE2MIaZosmScgW7mcr72t9UYOuQ1zJn9GZo2bkgBNQHWxFlc5yeVB9gEcBM2m8Vn8/JxUoW+l47ocbz/XLzwjwLaRNKXlue8Zqn4nypSDOjfC7cJMznwuQF4843XkZubi59//hkLFy0qwV/K8i9BPq7BMqt7ZsWB7RJUGsHKADY3OqdktJXMB90/tpxIN69egt+e+9ec0H9pISqH+fPnoyA/X2v4I+TlXVKwHbKNvxJsF8Nmu9wuvDH4eYweOQz5uXno8dA9+OHrlcp3mCpW+88w2ez4zp07h4oVK9JXqxSfHQKqVYCbjcAGAvh40bcY9HAHgc32eBHgQbbTDa/DjaV7j8Ma1KNNdBzcBR64891w2r0odPlwMO0KHrjvAfw+cc6NO8n/D4rT68eYNcexct9lqnDyinJxKhkXWW1WGZgmU/LsiklMxrhXn5FiuBmzzYB3gGe1eVHDDRncKV5Gyr8Xhrw0EB+MGIb8vFw88eA9+PHrlcJ2+A3wTLQCJAMVa9ZBcjlyf4cC3hD2TuVwK4FrDlTzYFsGM8oqsYYarxQt9RRr0naPH3O3n8PWs39vSrJ/Q1v4YNUxLNt9EXoGrg16WV5tYJ/1KH3744ivdwcur5kDV/Z5BXCWwS0Dw+J1DgG8IlOtL74qJOA8eBan7syzuLxuHqLK15Z+VwGyxWnQ78X+BR/iwPKJ8DoK8Mt7z+D0ll9k2bjESnP3p7ifZw/twabvl8vAmgPhkvGZCmSrGf0/A7KLbOTFPADIc+h4ZiEyClw36C75/1EKHS489uoUfPTZD/KAOesPq13B6QdxKvUp5GssPeOpwziXOUUyzRQ3oJLKSv1ptsxghqHiHSpwrQTdEthmgFsNtsXqc+aidKvHcO6HKTj9/TT4nIXY/ulAXN75KwzUTVwAzgLA5kG2ALzJfIVqNfH4gMEUTDNAzYN09TKW5kvOpS27mxPgTCTi33/3HZYv/QJlU5M5ptonAmyhCgBbBNycoawArkWjNFJpwIvY1yIl4Ic/++I/Di/8Y4A26TxdzLHD4ZHzAZe0k3L9DFuYQI4bXNLTr+D+e+/ByhUr8NnsOdi1ew8aNWqEt0eOxMh3RiGgFaOgOBGK8VOuI6PBapcEbIcpgj2UUEMBteqzAvBzgwAKphsI5GfBn5d5TfHo/18LuQ/Icy0qKgqPPPII9u3bp7medDnYZ9VUubL2xxK3LzW9zC/nPhR5eTn0kpmejp4P30eB9cdTZ+GnjTtw930P4rXn+mLC6HcR8AeUP3m9afcIQ3LyJKpXq8ZtUClfUoBuJhcX82cfOH6avohqlI6nknHKZrs88Isg22d3Y8eZy9h44Qr6lCsHt90Lp8MLu9MHu9uHyy43lrnScbcuAV+/8j4WDXgTfpVS4b8SWsjA60sr9mLjiWy4PX7q20GrLyCAbp8IvCXpOInJFkF1MAijxYZqDZpiw49fS3JxwRhNNkJjrLbSFE1DPv4n7rmSlIz0dHR98F58/9VKjJ82C6s37ZTawsTR79HngRIwq9lqERwAWPflQqRfOBsao80x2TKDpwQXmgw2F6+qK4LR5qXjoW9uPkxDHuAm1+LbQ2n4av/l/2JVS3KfFLjx1g+HsPNCrsRiGYhklFa9BLAFsC1Ug1GP1BZdcGX9AhSc2aVgvUPZaE4yLq0nA9niqoIF56SuZN7vKsSlNbMo+JfAPAf02X55C65i54QXcWnHr7jtmXfwwJgVqHxbe6yZNAxbF0+mz2gpPluSmQt3G5lu+mElWt//mIrN5qXmSrDN3+fs7g1ZR6vNIbSLpVXVj4KQuF/u+XIux4kz2XbJ6PS/Er6cuZRJDc++W7dHwr/8wB6Z5dM28o8iGp9NslAoron4WXwuyvhZpMjFf+ln7uLqpGsprBe4vBM6wuwqwLVoOMBLxSUjNBbGoWw/5N6+tPZzHJv/BjL3rUXtHm+h9fDFKNP4Tuz87G0cWDkNBl0QJhFwC1MCugVm2+9xYfqbA1GnUTOYjQYZlFNgLqwfArxFxlqZ3ksA3VnpV9CjezdUq1oVUydPQoTVLIJswb9GGZctzzOQLRuiKftcsrJQNqclJZCfCX9exj8GL+iC/4A9JeD6Sp5TesAU2Ze/xhKO+VMv5A0vlMtVf8uPaqpSPoS4WLIOC3TYv28PnuzeFQG/H4u/WIpmzZrR79eu+Q0zZsygzHbne+/B3M9mIiYyUgEChNEfEQCQs0Gt8rmbVQINIljgY0/pCeRpQRVFqHnCQigUbl7rOw5k049hBgLInMkGQ1zKv8LS/68ofr8fXhqPLZy2rOxsDBjwLLp164ZHH31UWk/17pAvddhlnHJDva6GARR7bPB/o/WbvLyWNwvUZLPFZQf27cWzvbrTtjB13mLUb9JUuK2JdHbqRIz74B3cedc9GDNlFiKjotmpUHZoOLaBj7tjTBtzzZRMPPQ6TJ82FbVr1kCHtneIo7CCzInInUAkTwEvNecAiRMi1etC0O1C0ONC92Ef44NeD6B8KRv8dju8did8hQ54ChzwFjhx8Uo2hqzdidH16sBo98Fe6IW90INCuwcZbh9m2S+hjS4eMTAJLGwQqNb6Vgz4cgaikxL+3M3yLy/LV2/BJ9/sgK1yA5hMBphMejq1GPWwmAywmvSwGA2wiFOzUS9XscNBOhTk+l46fhi1GzZROK7S74nkTiO1CTWAUTFgjEVjwJM3YZLYNa6/x3fIoepgM1C/d+9ePP1EV9ruZy1YggaNm9LvyIDBZ1OEttC2Yye8P2kmrJFRclx6gFQxJl2UzZNl+7ZvwtE9O3FfnxelwQayPcbeU5EG2wfC+kvO62zQgTH7cpul+y3sfLHvYv5Zwi/knzXC9mTWiNTK8RHo2aQ8oiz/pYbUKkfTCzB54ynkOLyiL4EwwOQXVRwk5SO5nsI1DSLgF+fFZWSwJuD14MrmL1GqVktY4svLJoDcNVe8G8R/StyD5EAKPwhEjNn0RiN89qtUMq5g4sXBADJQ4Lh8HHtnDaODmy1fGIPSNeqLbVmHgz8uwJZFE1GtWVs88vpYRMdE0+8YsKDt2KBD+rmTqFi1hiyFZQZqkiyWSWBVIFsrV3BRLDbX7yuu8O9KoU2p25ay7UWaDaiZHE2P7b8SWtb/cRTdhkxHdi4LuRTS18rXRZSEMxm5jJXFtHViCkfuCin/Xr5wQdUyblPcQpJKVUD7/tOrYapxL/QGE/QmM/RGE/RGMjXDQOctdLnBZIGBfE+nJhiNBhhMehgIKDaRtnAEJxa9AaMtBnWffg+J1erRdx6558/8tgR7l09BpSZt8MBrH6FUbCmaOlF4Hwp1yZjhaNHhXjS9vS1tF8L7UH7XkalBC2QrGG2A9NJ3/7ETo94ZiXGfjEXd2rUEVpqx2CwzSyAUSIdgEQUm4Tt1SuJOCE8VByHMETDE3vx44aZvqflODy7nOhSjeH8lk11sR0H14VpAfrh1v/5yJTrf3REpKSlYu34jmt56q/SQrVWrFpKTk/HlyhVYv2Ej2ra/C6fPnuV6bCKzTAp3Q8rMcRhWm6c7NZntMDXke9XfKH5L5FHY/qgbDb+uuB9Bnwu+7Ev/WNODv7L4fF543UQ+Jj+YEhMSsGzpUuzevRuvv/467ZCr24hWW+FuH2kI6Xra1LWA7KI28MPXX6Lb/XcjKTkZK1etQwMCstk+63To98JgTFuwDNs3b0T3+zriwrkzuFGFpKCoWqWytEPCCKrG6KoqrdfqrbtQPjEOFeKjEfS4EXC74Xe54HOS6oaj0Im31u/CkJrVYHYFaFy2y+6F3eVDntuPBfY03KaLhTVghJt0jMVzd3LjTjxd93bs37Tthh3jv6V8teM8xvyeC198NZz6+XPkXDwDl9sPp8cPl8hqu7wBgdn2BTk5uQw8GbgknZyIUrH4YdFntB8gScZFVpul/JJl4yLwEPeFMdzhbm7F2KTUAS++tX3z1Uo8dE9HJKek4Iff1qNx01ulR6Weaws7tmxCrwfvwsVzjKnmGWdlDGrdJs3R6t6HFSykPAgsrscxgmpWXMnaKXOmKhlyjVcHfx64oh7QU55XYfnpbAcmbTyNjEJxkPG/IhUirycg2+MP0k60DDD1MFKQKoBWAlYJaBUALKvsOwMMZisSGnZAxtYVyN7zE42L5KXb2tJy5XxRlcVl8y7hntw0nP36A/js2YhIKhciKWf3Yuaetdgx/nlYYuLRbvhcJFe/hTN30qNZlz7oMmIKzu/fgXkvd0felQuqnL/A5h9XUtd9ns2W24hqgKwYkK2+75WhFBrstVZbKKLwIFsdspLv9mHv5TxJ3flfkcuQdyeg01MjkJ3HpYQKsmuj4KbpZxqBzVHXbB3FJRKXs++kBxS/TPF4U69Hfp9cPC/08dXEZzSTgnNmZ3qDPJVSfKlUIHodco9swIlFw2BLKIeGL01DbOW6wuAQGVAy6tHg/t7o9PpEXD60E0tefxIFGRdhMspMNYGkbR94DI1vbyOz3HodzZQiDD7LzHd4kK2j/aPJEz/FtKlTsHTJYtSrXVOMx/YKJAVls8W4bMn4jMnGGZvNsdvMDE0C42EAOH9pvG54iSM5IUBu4nJTA+08pwcZha6wqJp/d18P+OZf7jd6/RAgzy0go8gfvf8ununTG53vux8//LIaZcqUUaxftlw5XL58GZ06dcKGdWtp3Ortbdvj9w2bhBX4J3kIv64Gsyq5tybY1pCA81UNrhV/o/wthuKk31SMUGnMSyfGB1/Olf/ANld8Xg98hMnm006JNxQZ7fzwww/QoEED9O/fH14tyXEJ2lARq5W4hDDfWutosNlEzjtu9HsY1P9pdLznPiz55mekli6jAdqBth3uxtIf18DtduHxe+7E9s0brm+nxYO+cOECypcrJz/cOUM0asahkTvbabfjk0XfYljXuxHwEIDths/lliTjxPxszKY9uK90KlJ1ZhqP7RDl4oUeP75yZqKyLgLJsFAWW9Sk0JZ6Fg7sy7yABY88j0sHj13fMf6Lyvy1x/DG/G1wOFzweYKIrdsOp3+YibS9G+B2+wTA7fbDRUC3CLxp9RHg7ZfiuKX47UAQCWUrYs+mtSgsLJDYWwFgy2wSCVagbJPafVyYlUpR7wbhqSiyemHWYe+FZ/s8hXs6348vf/gFpfn3AseWkbbwxY+/weN2o9d97bFr60ZNQzQGEggjknX5AjZ+u5ST1PJ5iLXnGbhWyIF50CRJdRnbp3IZLyYeXX6iicMWIdKbIHKcHkzffAZp+f/FqrKy5exVKq0nYJOyUiLI5pUbbJ6AbiMD3KKknJeSk8+2+BRUeXgIkm/tjLyjG3Hmy/dQeG6vNADDg26qduWkrMVVwZCNAAl28weQtetbVH7wNUQkVaAgQ7E+qQjizM9zcODzd5Da8A7cMXQ6ohJSlAoTsdZo1hZ9Ji6Dz+vG1IGP4tSebRIYJuE9W3/8EpVq1pWUJ7IaRXXfi4NTRYFsplRR+yCowXW4mz5EycLNKQaapMEnsXWIzx/yPNuXlodC939gm5UZKzdgyrf74b6gGpiWrgGjFNj5Vl0Frl8rKQoEilt5IRV/xsVsSxcxzHr2TOgTqol56VQgW5pnYJtVPnwjiCsbF+Ls1x/BHBOPW16Yioj4ZCk0RDA8E9p4tVvboMcnS2gI28wXHsPZvdspcM46fxqLxgxHnUZNRbWWALIlaTmXzkuOyxZAtlRJirysDPTs3g2xMTFYMG8O4mKipbhryfxMMj7zSTHaUjovLm82H5etrqHKW9U5JdeGmJ3mZyFAAP5NWm5aoE0Mz7IK3aHpQP4Fhdwu9oJC9O3VA59+MhbDR47CjNlzYbPaNDtpkZGRKCy0o1btWtj4+zo0aFAf9z38KGbNmcc9GDjAzA+Z8p/pqnoEqet3GLCtu1ZGu2jALQN7eZn2PH/EgrGC72oaAt7/GAyfxw0fZbJFGKYOLqKujMATT3THAw88gN69e4ekhJPGOG4AmP6zJRwAIW1hYJ+emPbpJ3ht+DsYN302rDZbyN/xoLtqjRpY9tNa1K5XH890exhfzJ/9p/aJf4USNYDRYOBigbgRVakykO2lo6gfz/8Sz93XBpEk7ol3Fxcdxr87eBrwBtA6Jg4uuwdOp8BkF7r92OjIhTMQQA1EUrDHDazjEtw4DjvaIgGFGdkY17Ybzu85iP/vZeo3f2DYrDVwFxbC43DC7XQjaI5HhYfegq1sfZz//UsUZmfD5fbBwVePku0mTDcfv03A9L29ByL90nkZWPMgm82zzm8YArs4kM1mwg1sFRYWok/PHpgwbizeGjkKU2fNoSkeFY909o9Yq9aoiSU/rEXNevXxwpOP4KtFc0NYaFIogIAOdRo3x9ZfvoXH7VKAaoH5UzotMxBtUAFrHuCoQbYSnGsfZ9jCnVuFakBcTti8aZtP42LutaS8/Pcy2auOZVBwTeIs1cCasdvSdyLQpql+OEZbnpcrGZBJbNAOFe8fBG9eOoJeB67uXwW//aoCCIeN5+aYOAXgNujguHgQZ5a/A3fWGVS893lY4pI5ubgsGw/6nDi0YCTO/roQNR58Fk36vQOz1Sbdd1pgu3Slahg4dSXKVq+DGa88hU1fL6b7kZ+dgfaP9oSZyHFDHPHV6YpKCrJDAfb1vGt5uThbIrUDhT+EUIhSZ++l3P8cyQFMXLoer038BjpzJMzV7wE8hYr4aWiEuQjzaldx+RpStprFd2teLxm4CzNsMERj3YAfgYxD0FO2OtTwTMiZLYJsHZkahEEwcfCJtIUL332EjC3LEFv7dpRp3RUmi5V+b1Qx0YKiRWgLA6YsR7lqdTD9laewfuV8LBk3Eo8NGCSsRyXjTDbOADapBFgzcA0uVluIzz6wbw/6PtUbb494C/2e7g09lYqL4XUszE4C2QKbzQNuPp2XICfXSOul6HeFOal8iwsG4C3IQYD8zk1YbkqgnWN346pdDbC0H1n/S+DwZ8uF82dx393tsf73dVjwxTIMeuXVIvVErVu3xpq1a+mRxsfH49uvVqJ/3z546dWhePHVoTQ9TcgQKi/XpkWDsZa+Up3FcCA7rBxdBdglJhuh66rneTm7tJ9E7SOMFPpy0/9fg22fh7B2olw8JO1UKNh+6MEH0bdvX/Tq1Qsul0uzA8BN/vaiZrMvnD+HRzp3xObf12HGgqV49qVXlE1B8XJUMoml4uIwc/FKdO3dF+++8SreGfqyNptfVBF/y+v1wGgk8Z8aab3EHRdijxij7cOx0+dw+Mx53N+0NgJuFwXakvmZw4VTV7Lw9fGzGFCxIpWLuwsFNpuA7FMuB3Z5CtA0EAsnYVW5YyuAF3uQhzuRAIPYEXBk52BCuydwZsde/H8tHy9Yg+HTvofbXgC3vRBuhxMehxselxcetx/+gBHW1Jo4vHAU0o/uhpMCbAFoEwWB0+MT5OReIicXmW2O1a7ZpCXyrubg+P7dkgkaiV9VsNqM2eY6wGFUbWGLVoeclPPnzuHeu9rj99/XYf6SZXjx5VdlV+eQbShtxWLj4zB14Qo8+mQfjB0xBOOGv0bN9ASzHeVj2mQyosuAwbDnXg1xWKax52qJLA+2pfQufLy67HfAy815OW1JCy8Xlxlu7rtgkLafqZtP49zVf16alxtVtp3LwYaz2QrfAYnNlsC24FcgfU8Zb9F9mJOUK8zRuHnynSU6nrLbJBWYwWJD2voFsF84iLwT25CzfzWcV07Q60zvMZVUnAxKko60M+M0Za4vrZ5BPxec2Y0qXYYgqmzNEBDOQLYn9wr2THoBOcf+QKMBo1Hjnl4CGx8GYPPLo2Pj0H/sHLR+uAeWjh2BhR++gRP7duK2jvdJTuM8my3NS+qMawDZKgZbHY7FlBx/pij8Cjg2W4rhJmA7EMTuS3nIc968bN5fXT5ZvB5vz1olssEG6IxmBF05CJzfRKLbpfUUfJP4QY0ftITg/AC4plSPxG9TGbq4vsYFD+adhz6ukmx4ppnCSwbZMrOtg68wA2eXvU6VJVW6vo34Wi2Q3OQu8XmtZLMV0m+jHrFx8Xh23Fy06fIkvvjkHZrKKzEpWZSJc14looeBMK8yQdMJIJtQdGQAeMqkiVi8cAEa1K0j5scW5OIyiy172gjLfArJeAirrc6bzfXBRG2BxlXnFbLyVfLaC25KsH3TmaHlOgjIluNzFfdzMfq8EJn2Nf52OJZBuJahrUfdUVLgVvaI5R/GOmDb5k3o/9STiI6OoSC7du06XMwbn5pCjqu7kpaG4cPfwtzZsxWphubO+xyDXxuKFrc1w5J5s5AYH680RhNvWoUEQ0IswjpC7MifOVshJ0gqypjxa2SyRZCt3LwextgUagzx/6kQFlsA2VzRlPtDsYxcyV9//Q2LFi3C3LlzhdzQ/DtCBQxCX+ih3xdnhhZ+m+KWVSwVmW7dvJEy2VHR0Zi5YBmq16otbZvvcEMxrzRcYq/CFYs+x/vDXkOjW5tj4mfzkZCYUKQZGos7Ehg54MSxo1g4fz4++uBd8UXBXh5k3gMdNUBzCwZoLgcCTju6vPIexvV/FOWizPAV2uHNL4S3wA53nh2FOYXo/8NGvFmrOkp5dHDmulHg8CLf6UWmw4NZjsvopEtEwK8c6/QigFXIRBskIBpq46cgbLGl8PLaJajQqB7+P5WXRk7CZz8dFoyRIuNhMFmpY7jRGkGryWyG0WKCyWKGQUde7C54ss8iuc5tsNrMsJgNsJmNsJkNsNJ5AzWIIVNilGYVGUCfswBThw7Am5MXIDo6UpLSSZ0XVaoTaqynZoFVHXM+Rpp9JkVqtkFg06aNeLoneS9EY+HSZahZu44E5Amwl4B/UHueuaWT6crF8zF2xFDUa9wMb0+ajchS8YIpGpcrnKy3Y+0vsEWXQvWGzWSzJWrEpjRfCjFCY1JJabAhqDEvt3n57+TlrEjLNP5eWkf1t+ycWI0GvNi6MsrHRuD/U9l9KRebzl7ljO7EvPFMoUHN8JgfATPE43LJM68C4sAvmqJJJmlsnptK14Vdu2AQ7rxM2C8dh/vqZaS0eBSnv/wAAZ8XMVUaIbJcHaRtIEyyHmXa9qRtioTZRJarCaM1So7j513MmSrCoEf+mX04PH8kjNZINH72I5QqV5UbKBCYOIU8npPLS47J4jpbv1uKRWPeQplKVfH27C8Rn5AgpDriBov4+WtisoscvFbCt5DeldrjQXWPC8qZoGa75JezKXkGNS0fixirCf+fyoTlW/Hu3N+obJjcf2RK7jUCtnyZRwUgG1NB7Avf4KIkzMOvxkCjwQQDMT4zGEUjNNEETTFvgZ4MahmJCZoB7oxjuPLLWOjNEajy+Ej48q8gpmItRCSkUPNP8i4j7zar2YgI8b1Gplbx3UZN0IwG7F79NQ5tXY+da35Cnca3YuSkOUhOThLaEnu/MZm42B4IuGZKj9yrWRj84gvodPfdeLrXkxR0MzaaxV8zAzRt47OA0uNG3QgUci+OFNTrOfMzg6DIFdl/8jlIp8LnoN5IYqPolORMJ239Zik3FdAmMdmEyVYQdRrrFWU8owTmNw5osxldEUBbvUwNtBfPn4vhQ1/FbS1aYtbnC5GQkEBj67IzM5CZkYGr2Vk07tTtctG8qeRhYTFbYLVZMXHCBLz11luoUK4cUpKTkJgQRxvAps2b0e3JpxAVFYkvF8+nhgSyeZMMsJVgOxR0y4D72k+YIh2YAiQXB7g1T3Io0KZf62GMS6UPo/8Pxed2wu92Ks5TiOldMWD7iy+WYseOHRg/fjztINxMQHvx53Mx4vVXcWvzlpgyZz5i4xLgcruRlZmOzPQMXL2aDZfLCbfLTduEz+uDyWKB2WKBxWKBLSISCUlJSExOQXx8ApVk/bFtCwb1fRKRUVGYvmApatFBrJIB7R+//w55OVfx1JNPyIYePg90CpDtBjxOBJ12LPruF6SlZeCle1shYCcAuxCefFLt8OQ58P7aP1A/MgrNbDFw5LtpzXf6kOv2YUFBGpWLpwStcJGeEsfTr0M2aiEaZWBVC9+kOUcpK55fPh233dUO/x/KpMW/Ysj4FYCnAL7zm2BMqgVj6fowWQSQbaRTG0xWAXybLEaYLCbkn9iC3INrUPOxVxGdlEo7I6RjYrUInRECvFmnRKh6CrhP/LGZAt66JI6NGcWIUjuWf5RV5mAvy6+vHWh/Pncuhr76Mpq3bIm58xchLj6etoWM9Aykp6cjOzsLDqfwXnASkz2fD0azBWazGWaLFRZbBOISkxCXlIyY2ASQ4dNd27bgjed6IyIyEqOmLUC5arUEkM0B8oK8PIx75Rk8+/4kxCQkFQu2Q4CzJkAuGdiGGlyE+Vu6nnpbzCGdhFWZDBjcpirKlJJDTf7N5dCVfGw+lyMOmIggmgPSDGjT79hnKZc8U3AogbaQzk6eCkaAIsgWAbjQfeBBt3DBwrqPq8kJ6RXFm+UJM7wM/cr2H3DyqwmIrVofDfu9j4iYWPo8Djhy4CvIgd+RR9kyMvhJMkDoEaDvA4vVAqvVBltkBOISkhGflIRS8Ql0qHLq0Gdw+uBe2CKj8Obkz1G1Zm0VwGaAQvenQDbPe6p7LsouldLTQQto84NZYQe7xKwE6vAW8jy6rXw8oq3/P5z5Z36/G8M/W0P7yUEOaAufBbAd8Hngv7wLupT6NHBG1syEQcjSV+JMCBAsSVFuP2DPQLDgMkzlbxPcxo1GCVgrgLbkNi44j9uPr0XmxtmILFsHFbsMg9lqxanl76D6I68h4ClA0FUAQ9ALI3zQB3ww6oKw2ayIIDXChuioSMpeE8Ownz+fijcnz8OZA7swelA/RERF4ZPZi1G7Tl3J9IwH2rzx2a6d2/H+qHfw0egP0fCWulLaLp6ZVoJtgaWWMx8FlHiEN+CQTpVW2KoAsINc+jMJXFNgLYBtCsYJyNYbEaRA24Cnnu6LhYsWwWy6OQaebhqgTdzFszm5uIQBNdYVvgu/22pQcN1AW7ESl8JB/Ee9vvwwFr70eb1485VBWL5kIZrc2gyVq1ShDsdnTp1CTs7VsD9F4i80c2eTvPcGA0qXTkWNatVQtnRprPn9d+Tk5uKzyRPw2EP3K1jrELAdYjDAz//JomVqpl7Oy8WVKwk/X5zGUKeHKS6VSoP+zYUAbJ/LHgZAlxxsk/mPx46F1WrFiy++eFMAbY/HizfEttD41maoWKkKzpw+ibOnTyE3J+dPt4WklNKoXK0aklPLYNuGdcjLzcWYidPQ+eFHigXahO8f+/FHaNe2DVrc2lhiswUm2y0AbY+TstlwO3E1Ix1d3/gI34x4FjqXA/7CQspmEyabgO3NRy/gu2Pn8ErFyhRg2ws8tOa5fNjszMcJrxPNdXEU7MiSceAoCuBCAA1RSjo2kfCUWtVe5CEHXrRLqIqRm75Eaq1q+DeXWSvW4YUPF4qfyP0fQPDqKejjqlDJnCk6CQZLBEy2KMqAmWyRlNU2WswUbPsLrkCv8yEiPh7Rial09J/USIsRERYDIkWWWxr9J0yAUY/8jEvYt/E3PNjzGSmOjcrsqMsxc2KVZdOM1eZBd3FAm7wXXh78IpYsXIhbm5H3QlWay/30db4XElNSUaFKNSSmlMbOTetRkJeDVz6ciNs7PagA2gRMXThzEg67HakVq8JktYVl0HggzLNp1wO2SwK0teaZpJ9lIom2GPFK22pIjbHi31wOXr6KSZ99jgZtO8Fsi5TUCUKVGWwt5tpbBLtN7wcOaPtVDLea1aa+kNJACDcgwjEkWr46wm3PQhlkNpu0h2DQj5Nfjkf6zp8RU6kuIpPKwZl5AfbMi/Da88OeEyKvJem+tIreYEBkTCwq1KhD28SBbRtRmJ+LwR9MQLvOD0lgm6Xz0l8HyFb3BcP3X+XBiXBAW81aF8dm+7nvyDOqecV42ib+zWX+r4fw+sy1HKgOZbR5ZtuffRKGindAR8AY2QDzOFOXoKQEp1PFO1iNz9m6XL8n5O+CfvhP/wZj5fYw2KJFoG3SZLMZ0Cb37dWt81B4bB0NhbLEl4E39zJcWecRIP2QP9MW9AbEJ6egfJVqSEktjV2bNyA/LxfvfzoV9z/8iBSDTdoBmydx5eM/HoOzZ89g/NiPERcTJaftos7iMtiWXcQFUzPZODaU9NPEGQqQLZjFMaAtgG0BUIcAbVoFcC0AbRP27DuABQsXYcwnnyDSaqX9hP91uSmANomhSy8IvYF4Zvt6ZeQl+a5kQFseqVWoHVTbOXfmFDasW4M/tm/Hb7/8BIeDACcgKioa1WvURPWaNVGlSlXqJpuSmoLUlFQkJCYi0maDLcIGC5FCGgzw+32U9SZuuE90746PPvwQGRnpSE+/ggsXLuL48eM4euwYTp46LaV2qlKpIu7u0A6tW9yG9m1uR2xMNAe2lTGo4UH2n7kteMY63PISysXDFb0BpvgyN33evD9b/F43fKxjEWaQ4lrANnkR9+3bD/369UOLli2l31GwReJMsIiOAPt87UA7SAeUfl+7Bju2b8OvPyvbAjE1q1a9JipWqYqU0mXoCGxiSgri4hMoQ2Gx2mA0m6kM0evzwuMhMblu2O0FyM7MRGb6FWRlZCDt0kWcOXkcp08cp22PtYUKlSqjbfuOaNayFe64sx3iY2Mlua8EkhBEn6efwtRJE1Aq0iabeVCQLcjFKZNNFAYuBwZ9NAUPN6+PFpVT4SsohJcCbUEynpuVh2d/3IzRdWvDUOhDYYEHBXYvCuwepLk9mOdMQ2ek0H1j5lqkFMCHjchGJyTTAQFlEd7wh1GAPHjRHHH0GRRfsSze3PndvzbP9ve/78Gjr0xRyIiFjr0OQW8hAhe3wphSD5bSt4jMdqQ4tVCjGKOVTImc3ITLq6dRR+XKHZ+kUnKbRWS0CeAmcjvKchsFObmYb/TrKaORUq48HuzRV8rXaxZldjyzLTNiLE5ZBt5qoC21hW1b8TNpC3axLURHo0aNmqhB3wvVkFqmNJKSU5CckkrbgsVmFdqCyUzbtcfrg8vlpgx3QUEBMjMzkH7lCjIz0nH5otAWSL1w9jTNR09K6fIV0aR1e9RuchvqN78D1qgYYbDH78e4l/uiY7c+qN2slYJBk9hsDuSqQQAPwJXpiGSQoAXEZWO54oG2BOpVIJ+V+AgT3uhQ818LMC7nu7DxTDYO7dqGL2eMR/dX3kHpqjWkNHW8jJzlUfeVkN3mgXYIu80YbXFwg2e1hS4EPzgrfCe/glRiaum1JLQHV/Zl5JzYiYJzB5F9aAsCYpiUwRqB6NRKiC5dCTGp5REZn4Ko+ERExychOi4eVlsEImw2WK1mmE1GGEgaMppKyEMHqR252bDnZGL7T19RI1GL1YrLZ04i7fwZri1Uwm1t26PhrS3Q7I47EVuqlJCySByMlZhtbn+lt7FCKi6DbP6IeeZaORuafz7kPi+WzebANklHKDLb7DoQZU7rygk0JObfWFbvOo8+436hfWPiJq9gtCnY9iEYUIJtf2EGYIoEvA7AHBUKLlhRgekiuG9uJWEt+q9q5SABmN5CGCKTOJCtBtoWBFy58GYehzf7NJwX9iBI+h3k3WG2wZpQHubYZGoaGF2mKmxxiYiMT0ZkbDyioiIQHRmByAgrIm1mWA1BmOGHMeij/ZYvxgxDk9vbUYY7J/0yLp89hfOnlO8F0ke6s0NHtGh5O+5sdyfi4+Jw4cxpDHn1FTzRvSue6Pq4BKoF5po3N1OBbCYXV8ReBxUEn/zcFluQwv+JZ6/leQloS0w2A9eiZJxMDWRqwvMvDcLzL7yIKtVr0N+IiSCmcdckSfj3AW1iSpOW5wjpqLPCt4frkZH/pUCbpify03yma1b9jN9/W40zp07CZDKhXv0GKF+xEqpWr4FuPZ5E2bLlJLdLaYRUY9SUjxViy2ZMn45SMTHo8UQ3xSgRAc9ejxuHDh/GuImT6bq79uzDqdNnKMPR6rZbcXf7O/Fg57tQpUJ5uizEWVl9skNOWgluk78aZLO/MllgjE2VDC3+LYW8ELz5VzWY6esD23n5+ejatRsWL15MZal/CmxfA9AmIHfLpo1Y/cvPWPPrKpw+qWwLVarVwGNP9EDpMuUkmTuTy/GAXmLSpWVF34OsVZJ846eOHsbsqRPpPXJg726cO3Oa3ve3Nm+B9h3vxn33348qVapQwyACtB97tAu++XIFdD4CsokskbHZLgFouxwIuuzYvfcApi3/AdOffRQ+ArAJ0C4gcnE7XHkOfLB2J5pEx6CxKRLOHBcF2XkuL/KcPsy3p6G+LgbRAZPYoZKP6xdkoiXiUAq81El+zZ+CHRfhwh2IF0fQhWdF9TuaYfBvi2G4SSRSN6ocOnUJd/T+AAV2l9SR0aIhAllHYCrdgDIBRlsMzQVMZORUQk7l5CLotpiQd+hXxJSvjvjKdWC1mmCxCLFthN2OJECbgW6R3bYY9Di5azMatbgdERazxGozhpsBbVOYeG0CwElnZvuWTfiVtoXVOHXyBG0L9Rs0RMVKlVC9RnX0eLIXfS/oVG1BZrn4zjcPdLn4bbHDTfJ9M8aaTF1uD04cPYwlsybTe+b4gb24fP4MZU1qN2qGRre3Q5M776bS8XljRuDhZwYjoUwFZSefA74yAFAB5TAst7TuDQDaITJ21TupelIUBt1RlV6Lf1MpcHmx/kw2PL4Ava5Xs7JQWJAPR2EhylSvQ88jY7b9DEyHicvWit2W4vbDgW0Wu83HapOuB/ewFp7TWv4ZciHsXt7p/cg5shU5x3ZQxlpnMCK6XA1YE0ojKqUCKrTqjMjE0lKaIjaoRafiZ0UsNhezLaco0sPjKMDKyR/imRFjpHRFRKl08fRxfDVnKm2fxw/uxaVzQh+pftPmuL1dR7S7pzPKVagMk5G4Qwt9Pbl/xo6LAQTl8RUpGw8WDbR5SXhJ2GylQWNoe4mLMKNVpXhJPfNvKccv5eLBUT+hwO5EICCk2KSO3hzQlhhtFdgOuAvgPb0WhoSa0MVWkvrQpP+pIqo17l3twRTGcktfczOBgjQEHVkwlW1CmXQeZJP7Pph/iYJrT8YxYSBAb4A5oRJMMamwJJRD/C0dYY1PgclsxLlvx6B8h56IKVuFKrLMRH3FxWTL7y4xVtukx5avF9G+zUO9nqEDx8yHhExJ5pRzJ45g7tSJVCG1f+9uqiokbYEM9hK11cQJ49G6RXOYCBih4FrOg40Q6TgHrkUXcXJdlHLxoLJR8JJxagrHgDZjr/WcNJyLyVYDbG5a4HCh11NPY9nKL+m7kDy3yPHFRlr/p3jhfwq0yYM8Lc9OH/K0FAO2tYF2CUEgDwpuENAmp+7ooYP4evkX+HLpYuTl5qB0mbJo2+EuWm+/ow2ioqI0ZUchyzQe6nrVMsLmPfpIF3w2axbKpKZIN7CQ45c3GhDmz58/j1W/rsEvv63Fuo2b4HA46Ujwc3174eXnnkFyQrzGkKtGg+DPWrhzXVzs9Z+Vi4cpemsUjDGJ+LcUIvnx5GfLRhEhAPr6wPa27TuwcOFCTJkyRfi9awTbCuCrAbTJA+3wwYNYtnQJli1ZRGXgZcqURbuOd9Ha6o62iIiM0gQSagmptD/c98XDbI5hULUh0tm4fPE8Nqz5Db//tgqbNqyH0+FAREQE+vUfgOeefRZDX3sVy79YLIBrJhn3ikDb40TAWUhjs7sO/RCf9HkIKVY9Bdo0JjvfQdns4+czMHHHQbxdtTpcuW64cl3Ic3hx1ePHHmch9vkKcbsuHi6/8lhOoBAO+NGAk4zzL/srcGM/8tEBiZLbNF9u798dT84cjX9Lyc4tQKsn38fpSxmKpzFly6TeDPcM8djhv7AJ5ip3whRTmkrIhUok5REi4LbBZDbAaALOfTMalTsPQEzZSjRemwDtKAq2BYabgm4RbEeYDPhy8geo36wVWra7S3BxJm7MpLOvMJHhGG0EcezwIXy9fAm9p2hbKFsW7TvehY533Y02be8U3gvyIYgHyLc1pbO5kMObgW5tUzRBDs4bowkAjLLWHIgibWHnhjW07t++CW6nk6ZNuqvrU7ir+9NY9MkoPDJwKJLLV1J19EPZNQWoZqBMxWbTPhgDaH8WaIvbkMC2xjuKvFNvrxKPJxqXx7+lEGd8kiu70OMTHfBFoBUI4uu5U3H+5FH0GPIuLJHRGuy2DKiLit0W7gttwC0Bb3Zd1aw2ez4r4rXlQtaxp51Cxh+rkb7rF/gcBTCXSkJC7eZIqNMccbWawGKNlFLG0bAMLqevPC9OOYBNQTeXO5ylOcq6cBbOvGzUaXybwqGcDYoR4E7bql6HzMsXsX39Gmz7/Tfs3LwBLqeDMubdnu6Hp597CQkJiWEBdkl7LlrvVa13X8nYbD4TgtqkULmtinE2NC4bi39LybV78MB7q3A2PU8A2CTNJgHZFHCrGG0NsE3X9XngS9sHfVJtBMl7Xm9RSL1ZkW9jQmTJ+nC6rvhylqXk7H0uE3BB51X4L++EsUpH6M2EUTVCR14+7jz4Mo7Am7YPQa8TelssrKXrwVquISLKN4QpIgoGoxEGkxFGkwFGsx7uzNPIO7YRVe57FmZmfiYCbckAjby3GOA2GWDPSkNcbCnEx8XCZjQqgbbkNM6l7dLrcP7MKQx5eTDOnDmNzMxMOGgfieCFp/Hyc/2QHF9KCbAlNlsG14zZphJ2Asw5yXgwqBVGopSKU6UqA9oKozMRXFPgzYA1k4sL8dkBnQGfL1wMk9mCx7p3h198Z5BnJlF3ELD9/w5ok5/NyHfC5RPkC/xDOjygVn1WzBfxxxp/U1QpDmgT6eoP33yJ+Z/NwOED+6jsLz4+kcpgZy9eLoFohnfUADocsOYBOB8bxLPax44exYgRI7B86RJhtFIE14KZWSjYFoB4EE6HHb0HvIjfN21GoV1Ii/JQ50544Zmn0LJpY260h6MR1WdPc7nq5IRltW8cyGbFEBUPQ0QM/umFtAVffjZ9WdDP0nnkUxhcP9h+adBgPP7442jVqpUm0FZ+DgXaaiBACpGufvPlSnw2YzoO7N9H3fSJ2yMJj5i/dAV7P2kC6nBAWwvgXyvQllO4yLJdxjZ6XC680L8PBdx2UbpbrWpVTJsyES2bNISeyca9LC7bgaCzEHv3H8TMlT9hQp8H4S8soLJxAWjb4cp14JWft+DpCuWR5DPAkeemlbDZ2W4/pjsuUZdxInQkKVnYO5q4jBM2+14k01hxSYImHq0PQfyMTHREEqwUwimgp/Sp25RRaPt8b/zTi9vtQa3mnXAhWEF85gnxVUGxw8P6PCHo2+9GIG03TFXbU3M0wmwbzDYRaEeKYFuI3Q6683Hp5wmo0XUoopJShc4JqVa5s0JBt9iRMcGPuSMH4+E+A1G3YRPKdAuAWzZJI/eW3+PGz99+iYWzZ+LQAWVbWLRsheCqzD3j+cci3/7CtRFt1kvuTPBsF+lk8E7kDDDJMdpCh93hdGD86y/gwPZNFGSQUr9FWxTm5+DZ9yYisWzFsC7kbLAsZDkPGlQAWe2qzA+6KVnvYrbNYoS5TjKT+D7esCzaVP3nD8KSY95zMRfZDq8CWLH4ejI9tHsH7WQmlatEHeRlsM0z21wMt8Ro88t4UB2G4eZi40NM0fhB0qAcApWxZy0ubvgShZdOwEDaYGQpRKRUQMP+Y8Q0cHIOdgkMi/4HDGDzbLYApIUUZXJqIuX39qsZmDPyZQz8YBKSUlIloM0MnhSpwaTwIUF94nW5MOzF/tixeQPtL5HS4d770bPfc2h0622S/PRaey3XBLTFASiFPFzFZvP3AFtX67lBljcoXQrVEiPxTy9kwOipSZuw+cgVUS4ugGxWaWy2T4zV5oE2N5VAOZm68im7rStVAfrEmpxRmnpQV/wcRrEQynwHESy4BF1kCo2Z1ptsAuOdcxq+K/sQIMy1kZidRcIQnYK41s/BSN5VogGakYRCEIBNgbYeOr8LOp0XEbGJMFlNFGizzBm8oSd9fxHvEbMBuZfOYOXE9zFs8ueIsllEgE0UWjr63iLvLwayTQZifgZqyPzic8/iqad6ocv9neEmeOGZ/li/YZOMF+7piBeffgItG98ixGGrgDZlsAMco02XM+JOPLdSn1SWi9Mc4lJecRFokwZJQTUfj83FYkvLTaLTuADCH+zyKBYtWUqN45i6i7WXGJsZ0Vbz/y+gfdXuopKokoLp65WRh2wnTCnqIZqdlYUFc2Zg6YJ5VL5FWOseT/dDtRq18OHbw9Ct11O4s8Nd8nZKArSLA99cqi+2bM7s2ci5mo2hQ15TgOuwYJuLzSaseH5+AZZ99Q2mz5mPE6dOo3GDW/Bi/6fR9cH7xFzC6hNd1BnjzvnfCLJZoWm/zP9sx1mfPRcBan5GinDRJbB9A5nt3Lw8PNGjB77//gfh4XYNQJt9x8BvVmYGZs2YjgXz5iIrKwsd7robT/V9BtVr1sI7b72BHr37oF3HjmFj0YoD2nIHTsWwF1FYN4gfmJIMbXjDKrFjRfIMOwryMeyNoVi//ndcuZKOxg3q48X+T6Fr57tgCnoFEzS3AwFHAZ4eMRbDHrsL5aMs8BcUCAZo1GXcjt2nL2PZgdPUAM0uGqAVigZovztzkeXz4hbEgAwr+rlzshO5SIUFFWBT8bRC2YYclIYFFaGdwoiBcjJaPnj1AtS8U47D/yeWwR8txtSlv9Lnl//0GuhiK0JPpH7i/U5fV+TlzHpCrLdDQZYBQWc2grmnYa7SRkgBxgzSKMMty8nJY04PFxxn96Bc806wWo00bluQkXPsttihMQb9MAa8yM9MQ43adaUOC6n2vGwsnzcLKxd9TjNHkPdCzz79ULtmbbz79pt4sncfdLyL5D3VlqKyorjvQzrNMtvFS7gVnXJuBJ8BMy3ATUCUBM7FebeHGPYVYMNP3+CXpfOQdu40Ktasi4TUstSVnJw3fxiwrY6fVjNxjNUOAdEqQK0G2iEyWo2p4j0rAm0Cqp5vXQU1kqLwTy4nMgtxIc8ZAroY8GUDKmR+xqghSEgth069n6MuvQrAzYFpLdCtzWTLgJvJxsnv0bRfXEgA/+wmM+6CHJxf/yUubv4W3sJcJNZpjnKtH0ZkaiUc/3oKyrV6AMl1WwjKUJaXXQW0BfZZZrAF4C1Lx3mQLbHcYujGvvW/oGL1OihfpaqkNJHTFXFTFchm+eHJ/eMjbaGwAD99sxJL5n2Gs6dOom79hujdfyDufegRmKQ+UvgSvIFAm1wHNsDGZPysLcrtUP1eZc7wQOsqCUiO+menRn13+T4s+P0UZUoDfiJLDiiAMzNEE8B2qGycTqV1yVRY3595jILtoD0DiEpVAm7KYMv5scMVct5p2A9xOE/bCb0lBvrURtAFPPBnHKIVPicM8VVhqXArjDGl4Tq+GrYqt1MWm4FsEq9NWWyTQQDbZgMu/TIFyY06IKFmI6rIshCVleQvIryb2KAw8xeZ/dbz6P/WhyidmqqQi/NhTyYGsvU6HNm/D8PfehOfjvsEdapXpdJwPWGm/V54nQ7k5+di2dffY/rni3H89Dk0rlcLL/Xuiq733CmEZHAAWwLbDINIqpegTOaxvqnwEBCBtsBi6ww8o20sUibOUnmx6f5DRzDv8/kY88k4+Jh3ARdSRdpKcrSNnrv/F0C70OWlabyEopSLSqVIqXhR3934w8m5ehVzp0/Ggtkz6edHuvdAr34DULlqdWkdNUMR+vnaWW32mXXQGGAgx0hYbYNej3dGjiiG2UYIu82ewGRUcPXa3zFl1lz8um49qlWphOGvDsLjD98vx3EXKxFg64STiP91IFvYpB6m+NI0R+E/sfhdhfAX5soLpIeR/i8B22M+Houmt96Kdu3ahXTsiwXaZIAsKxtTpkyiDDb53L3Hk+g34FlUEduCuvOg3naJgLYGi37NQFvtc6ABtJmB1ZKF8xETGYHoCAumTJ+BX9euR7XKFTHixX7o2vF2GHwuFGRloNfbn2Lpa73gzWdsdgEF2UQ2PnT1djxVrhwSPHoUklRe1ADNixyXF9Odl3F3MCmEi/YggDXIxD2iORq5iuw6kn/z4cV25KIDkiRlAPtOCcqF9heZEEfN0RIr/zOls3O+XI/n3p8vfSYj4oHsY9BHJgOmKOiMFsV9EK4DFMg5hWBhOkxESk5CTGxRoit5lAi6CctthMmsw5V1sxFVujLKt3kIVg5kR1oFOXmUVe7E6D1OTBvaH0MnfIaE+Hh48nPx9fwZ+HL+bPq7D3V9Aj37PYvq1arJzBmX9ivc817x/rtO+bjMbssgjMVz8jm0ZbCmBK9UZu4LYM/mdfhpyRzs37KeysqfeOVt3P5AV9rJKRJss4EBXt7KS8f5ti6C7ZAYYAY81Gy4xrq8URWbJ+c72mLAq22rIyHyn5mhIr3AhROZdgWTHeSvrQpwESn4um+XI6F0OVSp35ReJ8HoTnYm50F0ONfxUNBNvucHTJQDKOzedBfm4vSvX+Ds7yvp/pdrfi8qtn0UkSkVpGOS/WgEw0BhEFQp7ZZANycX59lsYxi5ePqZ41i1cCaeffdTmAwGGZyrty+lLpLneadxdb+MuPtvXrcGC2ZPx6Z1a1CpSlU8/+obNJsF6SOFLar35p8F2go1QZgYbV7tolYYkM/kPLWvnoio/wHAuBFl+ZazGPHFXuEYpRzvMtgWGG1tFlsG2bLUXAbmMiD3px9AIO889El1oItMpSBPer/wsiO1vpzcI86rCBZegT62EoKeAugjEhDIOEi3SVYwpdSFufytMEanyHHaUhovMhVANsmxTcA1k4zbz+2B49JhVLm3H2WySVy2kDFDqbpiU+Ihc+XEQTRu0ZrGalN5uQiyGdCmAFsE2eSdtHDeHGxYtxaTJ05AckKsYAJLM66QKZGJk3khLpvI8let34zJny/D6k3bUb1iOQx/9kl07dhawCCinFxwPmeYgztf0uiymsk2CPMiyJbl42QnGYPN0nepPzNG24iXXn4V/Z55hg6ESwPM0ntQaCPkt8vGRdA28a8G2i6vn0rG5RL8E8x1eOZb0bW/ziMjcZyzp03CnOlT6M1DwHWfgS/SvL3qogm0uWVqAM3WKQnYZjJYaZlYP/98HtatW4sZ06YiMiJCAtAUUGvZ6dMpyW/HfxYA+Z59+/HumE/x069rUKtGNbw3bAju79SR/nb4opaTh6b0uBEgW9pfrT0g58RggjGutMTS/lMKcVn15WUKH1Qy7xBmWwWsrx1sC58vXrqMEW+/jblz52qA6/BAm8TrTJo4AVMnT6Jt4ZkBz+G5F1+kjsha25BG1DWBtvx9UYz2tQNtpcFgUUCbpWIiLxtiXnjqxHEqJ9d5Xdi7exfe/fhT/LhmPWpXqYj3Bj6JgNOOi5fT8EzbxpTJJmDbkyek9MrMyMUb6/7AhzVrwUUM0Ao9yHP4kOf0YrezACd9TtwSKCU5jLP39T7kIQZGVA5hq4VrtRZZaIRSiFMYpPFbCH3zl6lXC0O3fgVr1D9LLrhp93Hc3X8svKITKl8CBHCf3wSdNQ76pHri7cwk9lpFR+Pv4C2gnRtjRCyMZpsIuAV2m5qkUaM0IwqOrUdK07tgtZmofNwmstkEZJMqdWjMRlw+ug8HN/8Gm9WK7+bPpIMBjz/VH70GvICkxASpI6PIsy06kWsNogoDp8Je8x1zbSmomtXWAtqMzQ6VmUqx2hwzxgzVZKCtBMmnDh/Aok/fx6Edm5FYpjy6v/I2GrTuKIBeDiDw0vCQHL8cMA7HgmtJw3mgrSUbl65/iLu7IEcuE2Oh5mj/NPdlovQ7kl6gYGLUKgF+8ISxniwsYPKbL6L+7e3Q7K4HOZCtlISrzdO04rL55bwygb8mXpcTx39ZhBOrl9DrUqXdY6jW8QmYo0S/CZVbN+vrsGskPYd5lplJx3kmW1wmm6LJqfYyzp3CionvU5CdkJgkgWqjBpvNA2057z2ffk/lMM4dw6H9ezHp49FY9+svqFqjJl4dNhLtO92rabKkHjST54WZYAmM0PiBML6NacVna8rHuXdtKYsR7aol/e0A43rLrtPZeHraFni8BFSLgztSjncBbCtYbR5Eq6ec1Dx0mbAdAhT9OacRyD4OncECQ6W2COafR1Bvgc4SLRhyOTIBjx366NII5J5F0GuHIbkudOZo+NP3w39lH913Y5mGsJRvBr2VpPUyUtdxYoJG5onaisRuC3mzTTCaTcJUZLI92WcRmVQGlqgomIlxpxiXTd5NEtCWZOMGGHwezB3xPLo9PwT1GjSS0lRKyisCtMVBKdJuAl43hg19DRXKl6Vx2UYdce73c0BbyFMvGMN6xdhrMQbb78fuQ0cxatoC/LRxB2pVLo/3nuuB+29vKipnqVOiCoDpuMYku4vTPrsIqhmbLbPaHGtNQTcPsGWgTeTjeYV2PNW3H5YuXykpuhjY5v1LyP1Dnh8V4gRfiH8l0KbmZ7kOcWSBL8pOdMg10sDMN0pGrlXIKfnlh2/x0TvDabqUXn3745nnByMhKUm8X3TFAm2t5doOltcItvn1AGzYsB5jP/4Y48ePQ83qhFUMIyXnmGy1nJyBbTK/c/dejBz9Cdas34iOd96Bce+/jVpVqxR1ttT02g0D2UUBbMUekJc2kYbGENbwn1HIw917NU14cPGvdbW85npl5BogvWu37pgxYwZiY2NDQLA8L76sA0F8++03GD7sTWSkp+OZAc/ixcEvIzExSe5EqEA0/VwE0CZF2TEI7SCoOyPFAW3GAytVIEUDbVaPHzqAZV8swUfvvk3jsgnY1nmc2LFzJ0aOm4bftu1GmcQ4zHm5B1pVKg1PXgG8FGQLQHv+jsOI9uvQ0hJDgXa+3YNclw85bj/mOS6jrS4B8FPLQgkcE3DzIzLE2GwWkS0fSzY8OIgCtEGCyHPrioDaSpb3tp5d8PSC8finlKt5hWj46AhcycoNYf0lMoHcG1ePA5ZY6CKTQzq3oaBbh4AjC4G0XbDUuBsGW6wAtBmrTWO3iVmaFWaLATl7f4AlJg7lm99N3chtEtA2ccy2Hsc2/YqvJn+AvOxM3P9kX3Tv/wJSU1IkGbmZxI9KrEGYnNpqoM2/w1T3vZr9VXfMw7HayvhtrtMhgehQuTbrkPB5ttkyYpo25Y3nkZ+TjXot2qD7KyORUrGKCvSHysUlICDGa6uBhJYcPByoU8R5qy46PbcieJLOuV6HpuVj0b1ROfxTCpFzH0rLp4yzdNxhDLL468mb35EwgK8+m4TqDZuiZtNWdF0JNHPGeCUxQpOl43IogjAN4PyOtdj1xQS48rJRvcPjqHnPk7BEy1ktSJFAqyLLCj8AJbPaAugWADZhtHkWW5aSy3HbpE+05bulaH3fI3Q9YvTKy8O1wDVjtdl9wuTi6hA9dV9OHgfXYd/uP/Dp6Pewef06tL6zPYa/PwaVq8nqRlaUDDP3Tr1G2bji2jPfA417gle98CCbPVMqxtpoju1/SslzePDg2PXIzHdx+dyVU4HZJvNc3HYY13FZNs6k48o4b8rEEhdyei4DolmaCf7s4wi6CwFLNFVXEeZbZ46EProszYBDz3PuGXjPb6Hpw4ylG8Jcrhn0JG82YcZFcE2n9LNB8hChWTJIXLaZxGQLBmh+eyYu/jwJtXu9C2tUFJWME7kzCW0iTDUB2sL7SATaJgNO79lKM2M0bdFKAtlUNs7LxelUh6uZ6Rj8/HM0pen999xNU+NRgB3wKhhteElqUzeCZCoBaDE3tqgm2HnwGEbOXII1O/ejY7P6GPdiL9QoX1q8gjwBp5MalZDOS3YXF4C1cF4ImKaMtjivANUaIFsA3ybMmvs5YkrF4qFHHlVl3uDBNhtgBj1/5WK1w/H+8UA7u9AFu9tXxBo3Ukb+54A2sbgfOfRlbNm4Hu3uugfD3vsQFStxQPMagTb7jgfP0vp/Qkautd7FCxcwdMgQNGrUCK8MHgQzSfXDxWgLgJUbZSqS+RZGCn9Y9RteGz4Kl9Ku4KUBfTDitcGw2UJd+4qVl98QJrvo7bNtG0slQ2/5+xrP9RTCZAfcyrjskPkbISOny4VYGLZs0uQpqFevHu68884iGeeTJ0/S+2n977+j0z334oOPxqBy5SqhoFij84AwQJt9ltmtUKAtr3NtQDtc+9EC2ozBoANYfg+6PPQQfvxqGUzkZUPAtkdI5xV0FuD7X39Hz7c/pfmGB97VHK+2awq9w00ZbVeOA8//vAlv16iOYJ6XpvQiTuM5Hj8uuT34yp2JTvok6jROOkGs9V+CC+lwozF1GmdwWX4ubEcOqiACSTCr2Otwo1rycjt8uO/Tt9B18HP4J5Teb83CFz9t04TLtHCLSafKf24tDKWbQmeJKSZUhbi/5iLozoMhoapCRm6yRcMUES2AbYuBysjPf/cRKt3dB6UqVqMy8mgCskVW25t9Gb/NeI92aG5p1Q7O/Fx8uPBbRJpNNG8t69QIEj0BEBAGQcmWaUtU1QdbdGdcKSHXBNrcQBbvUs2zoFKnXfwR9luSWZpqfTLv9Xox98O3cGD7BuRkpOOuJ/rigX4v07zlMpOuzUQLQF71Hc90c4MIvHu5nF5KjBEO112R2rfMlLL5p26tgDop0fgnlPM5dlx1eLXj01XgSisOX46/F87Z9JGvoFHbu1H/9g6KsAFtFjsM4ObVD4Egci6fw6Y5H+LywR0o3/gONH3yFUQnl1MAO1YUSjxuXjEoIrHLAsBWMNJhTNFceVcx//2haNymI9o/8oTsSk4cxTkmWxmTLcSksvtEi8XmSQz5IELbKbk2JJXrB8PfwJW0S3hqwEC89NqbsNpsRb5Ttdq2WrERcn3DmQIi/HI1yGafSX7tcqX+GZ42by7dgx92X+ZAtZxajhxQqJRcAMslYrQlt3IV2BaBJJ1Kzxtxyp49YnpeOphLXMTPrEcg/yIMcVVgrtIWhsgEChZJJWkUJaAtLiPVYLFRlRWdiiw2m175fR7KtHgIUSll6GcWl837h5DBXwK4DQEvvvr0HTwz/EOUiowQ4rQlubhBBNnywO/BPbvx7sgRGD9uLOrWqCrIw8mAAktpygHtoMeJIMlt73FLgw9+n1+IyxaBN5Pv/7h5N16bugiXMq/ipUfuxvDeD8FmEfsuOhXhIwJtAWCTqcBY06k4ICEDbZMSaBs4AzSRzSbTBx/ugkVfLKOO48I7jIvN5rM1cJ8rxEWglM307wLaTo8PWYUuOh/+F8MD7ZBl/FfcFyHMeFF/zBXSUBfPm42P33sbSckpePvDsdTUJqRcA9Dmu406jdFd9fLrAdvkKbtixXIsmD8fI0YMR4vbbgsF1dJLUGa9GZstAW4O3DodTnw6bSY+mjAFlSqUx9zJ49G0UQPFySwJ63x9THZx2+e2rTfAmFBWGBG7iQsxPvPnZajOTVFgW2S2RQdmTbCtZsBVy/j5det+x4GDB/Hiiy8K+yD+KnvxEznhZ7Nm4u0Rw5GSmooxYz/BXXd3kjsI4sqhzJuyzfGXMWzHQw0oeIAeZrvaRan0ULMUUhyeyHbzHS0TgpgzawaS4mPR7cF7KMjWue0IugoBZyEC9nw88PK7aFa1HMZ++RsqxJfC+AfuQO1IGwqzC/HCr1vxUY1acOS64eRSeq135sERCKAmoqjTOGlt7ApvQjbqIkZDFi4cJ2O7lcNy/NkUB7DkO0b6bi/yUTE+GXNP7kBknJwy7GYs363bg0dfITmeuTQqRRR6vCSd1/mNMFRsAx1xdZW+0f5j2vm8vAPmym1onDbJsW1kQNsWCbPFTGXk+oADJuLSGhWBCFJFFvvCxq+xc8kkRCck4aEXR6Bxmw74fclMVK1ZB63adZQ6N2xKWG2zXgDcbJAnHJutpVRgg1Tqzjj7zMuvw4FtHpjxrBgDz4p4afEckaJOC6YF3g7s2IQFH4/ElQtnkFSmPPq+8ykq1q6vBNscSFYwcRwYF4CFCjjwMcAcyGa/XwTODgHYbD7WZsLgO6rS63Mzl3yXF+dzHGFk9tqAW3LVVTDb8rVyupxYPm0cqtZvgvqtOyhVCzzrowLbPOCWwLzfj70/LcWWhRMQEZeIVk8PRflGreXnOAN3KoWRenCJzMnPYNEvg2O2JaDNy8cZ060H9q9fhQYt26LwaibKVqyiAOaSAZpKjk6ANw0DFT/z7U8fpr9VkuJ0Oml44bQJn6BchYoYO3kG6jdqct1AW6Fa0FCMFA26tUE2mbcZ9Li3diqVEt/MZd3hdLy8cJes5uEZbfb8EgcMmYxcitsmruSMsRbTgNEY7ZIy2gxo8wCbPn9ZvIoANH3pB+A9t4my2xaS7SKxGs2SIQFqgwF6Mf6YB9kC0LYKQNtspeFLhLU2mPTIP7IOqc06wUTisS1GQTLOxWHLYNsAiy6A+W+/hHu6P41mrdsoQDZL48UGfUm7+GblMnz39VeYOW0qEkpFSqCaycPplLLYLoHJdrvw7W8bMHXFT4gU3bpJTmqfzw+DQY+KqYn0uhAFTaHTjdxCO86kZeLUpQwKshtUrYBKpRPx9D1t0Kp+Tfq3Ctm4JBVnAFtktAlTTd1KecMzk5LRJp/FZUdOnMKUadMxfsIk+DTYbC2wTdYh7b52agx9tvwrgDY5qCt5Ssm4GiCXBGiH+ajY1p9hty9fvIA3Bg3E1k0b8GSfZzBk+ChERIaJcSwh0Jb2SRXvI0vGRRnFjQLbYs3OzsKoUaPoS3H4W8NQtjSRcTCwLe4Ub4rGyUEo2GZ7zwHuI0ePoc8Lr2DfwcMY+tJAvPXqSzCZjCWOof7rQLb0V/Ic6UiXunkl5OSB7su+JBhHsGUlAds8q82WhQHURcrHdTpkZGTireHDMWvWLOH32X4EgfMXLuC5AQOoC/cz/QfgnXffo21BunVUHXNlZ51rwRpNTgmolUyaFrOtANklEKio24wEpsVlaqDDGBWTDnA7C9HryR74ftlC6D126EQ2G84CZFy+iDcmzsOM/g/h4NFTGDDrGxy8lIkBTWrjtthYbDhzGb2Sy8BOUnrlumlsNgHanzvS0EoXD3NQDy97R4vPo5+Qgc5IVojCGa+dBx/Nm90aCWEgJP8c5Z9GQepq/hPS0RkpaEEl5J/i5peM5xUBk1WF3hs6BINCJ4Hk0NZHJmlAVeVTOpB/AcG8CzBX6yB0biSgTeTkNphtghu5P+88ru79EbUeHwI4snFk6UfIOrYLde/uig79XkVCqRja0TEF3JTNLhUdSaV7pEZSGR9zIxeYhHBO4/zzW7Xr0hFoKj5UEnI1kx0sVk4udELEU6n+6RB3cimWV2W+dXDnFqxetgAZl87h/PHDuLf3QHTu+xKNQ+QBvYKdDgHZIpDUkIiHY7VDw87k86nFZjNg1ahcKTxySxncrIWc71NZhVQ6zoC1Iu2ZSsWgZjz5WG0+LpEHyp+PHYly1eug+T1d6DtH+Tc82FaB7mAQOVcu48cJw3F+/3Y0uLcbWvUcTAes1PcmS1zI+kO8lJ8WVX9G7TqucCDnADf5XJidgS/GjkCtJs1xb/c+MBPJrWpdidHmWGx2DyjDOIrPBCPuLi2a/VJxAVl24thRDHlhAI4c3I8BL72C5199HSaT6U8BbXUMNt8m/EWw2fxAjBbIZssqx0WgZaX4m1oy/tikzcgscEkMtnB/qeYZyNYwSSMgWgbSDGyHi9EWWFkeZDNGm2e1WX+FpAbzHF9F3xWmMo1gqXon9CarkIpSBNUCwBZNvgj4pgBcBNwGI4xmiyAbp0DbQM05s7Z+AWt8Ksq26CzIxalXiJi6izDaVDYuAG5T0Aej3wO/Ix9Vq1WTQbZJTOMlScZ1MCCIjz98D26nAx+OGgmzISiDbJHFJmw2jct2OxF0O5F2+RJenzgPFRJj8caj7WGl97JwHsgxePxBXMjOpW3TYiLeJmZE28g5AI6cT0O/Tz7H/tMX8ez9bWG1mLH35Hm8/Pi9aN+0nhiXLTPZPItNsqcIQFtgrUOk4iwum8rGTTR39ohR76LTvfejSbNm4nsrfIw2b5BGpnE2E6om/vXZKf4WG8JchzvkBcmLIIstGp2RkG1d0wblsmHtb3h1YD/YIiLx+fJv0KqNIKe9nsI/1EhSey7fPddrZsiB+1Kaqv6ITlXpbNTriSU+IRGTJk/Gnt27Meyt4SgsKIDJbEKVylXQsEEDNG3SGJUrVxLXJnHc8huFdfQVvd4gULtWTZr2Zeykqfhg3CSs37wViz+bgjKpKTfeRVx5Fq953aCrAAFrBPSWm9MMyl+QDQSU4RPCZRQvKhsxVYyekrWIw67YOWYzrDfD7o1wRVpXaChxcXEoKChQrgLg19Wr0advH2qs983336Ptne0UAFcGyMrP6s5DSYpwhOTuE/dNcV+zA+X2j9zmRRPamh/5qXDuhCnNSiEuCOh1iIiKQfXqNbD/0FE0qF5RkU6K/i59mQdQMyUB3w98BBN+3opJm/fhxwgbHi9XFn5fAH7RyddLahBwIgALDPArWB6gEH5E00ev0Prk5iasR+KzBck42/dgmKNSnxAd9iAXtRFFmfztC79Ck8c6o/79HXAzlpc/XkJBtlRKgLble4bm56K5s3UVWkFnjgo5N3TASXSm1seUR4DE2xEpHFHwsI4Q7QQRQ0Ui7TPCHFeRpo+5sOlrXFwzH0aLFbe/OgnVGreiL3y3LwCTMQCLxYYFY9/CwHfGypLmYJAO6vDx//zgDr93/OCoVLhmLR2n4nvxG3GxPMgqrKsXwbZ68FUYr1feaYqd4QoNrQjq4CdpbXScqwDpmNDMN0HoAjrUu7Ulajdpjg0/fY2T+3fj5/nTcXTXVgz4YCpiElOkwQL5ucTAPQE4wn7odeS8kZMk7jjz3ad/RlK4CUvo8Yh/F+720HIf55UtB9LycUtqzE2b8itDBBWCAocNNIrhJEypKT4D6ftCnBLgRa4N6eOTDiU93oCOPtvI9+SS+YPCue71ygjqJL/l+6Vodd/jMBiM9N416MWOJ53yVQDjR3dswFcfvUYHpLp/MBsVG7QICQtQG9QxmbgMbpX9FHadFGZoPANN47QFFtvvdmLHbz+g6Z2d0OPl4QoWm5eJM3M0tbM4NTxjQFsjDjsckcH2k92XWu82dk1IWssVP/2GGZPGY+q4Mdi2eSMmfvY5klNYvGrJChuoZqyttJxXfPHnWxqUllqcJsjm9/1MjgNlY8yoGH9ztoVPfj6KbAeJjxaeAdKxBImqjx23TgDXOm45veGJEaYsTw4GxKonRl+cZJw0GPo9AdsEVBtkkM3FaksAW3y++7JPwXX4O8BgRkTD7jAlVBVAIwPSPKMtgWzxKS2yuOw7oeqgN5C70k/nyzS/l+bPpow2y5OtAbIXvfsy7u/5DJo0bylkxTDKDuMMYJPQpYDPg0GDXkCrFs3xzNO9BWDt46XiotmZuDzgduCPPfvx5pT5+KjPQ7ilTCKVkPvdDukmImCYpAGukkDM4YRzTY+RAHboULtMEn4f+yo+WfkrRi/9CbfWrIzPXnsaQ2cuR7mkONSsWFYwM2VhrbIcRv0ACSGLaD+ZXTudnpqn7tq1G8PfeVcaXJaVkqH+BYoB6EAQ6YVuqnhKiPxr09/p/w7JuMOjHZddFDYI6YRcRxHYY+WDnox8Tf7kI/R74lE0aHIrvluz8ZpBtqKzVJTqUQVWlOxcOAmuSj7Iy/0UVR7dE4XgdL5ho8aYN+9zrFi5EnPnzkP3J7rD4/Vi8rRpuKfz/Zg5e44wOsrlsCNVeACpz76OgvVhrw7Gmm+X49yFi7it/X1Yv3lbyc+V2KiKq9xZkmdDD7rI6s/LEkYob0LJOGVJZS20VBTHHjIvQVwuPRt7e6pgMFMrFFGIhIfc/+yvyPyHH3yALl0exq233opNW7bhTgKy+Suh2KSCeiuhtFs8Tl7hwRqO5orKqbRquKoBQ9V7LLQpofIOzaxj2aNnL3y+eCmCXL5G0iZio6OQU0heNMI2CGvyUssGWHh/G2S7PJhx8gz25OXJxkRBwEMVIkKHV+7kCDM58CCek4zL+y0cDAHiUYox0HBPQxmMkf3Kggc58KIq2CCTDosHDIM9hwOzN0n5+redNC5bODcigKJjSlxbZoV7QAqPJuHFTka+DeVaIJB7Rm4FbNRdYqaEFzopxCXWf2k7ZSSCfi91XvV7XfCTqccNn9cDr8cNnTkCZ7+fgujytdHstTmIr9GUpk8iBlVkSgZUyHXOzc6UWDs1WGAxpzzgliS0YVRR9BRwr6qQzj8D1dw2ilougH5l6AST6SoYQxUjyOL5yDzLvSqYUHGxr3SqR8MWdyDjwll0e3k4stMu4r1enXFi91YuXpqPx5VzFitZRfF6cpkCpD6WdGJYf0sXUqXtcQBbZrfla/HL0XSa9eRmK3a3l9Zw94q0jA2EcABWEXss5p9mrveSU7f42Wo24YHeA9Dx0Sfx+1eLsOijYSjIzlDIrplhEgl/IOri9YunYsnw/ihfuyEGzvgGNW+9HRai2iCpg4g3AUshRD8LafCI1NUmVaM8b1JXkYEzsiq6JNPwC+G+O7tvB6YN6YeEpGTEx8ehQuUqMpBg8afclB2DbIYmZ5eQ2XXlQFhRy/mUcfx6fJtkfT/CYL/46utY8u3PuHThPB5q3xrbN28s4V3AqTn5Rx8HuBUgWvoruRtQ0ndw2rkzmLZoOR00vNnK+mMZWHXoitB29QycEjDKV73wfci8MDhDlxEVhJFUA/RGo5hSi6TWEtJoCXmrhRRbNM0WWSZWkmqLnwrVBM/5rXDsXw5DbHlEt3wWlpRawna4v2Xrkt8k7ycao62SjzO2m/TD2DE4LhxAhY69OYAt5MhmIFsyPjMbsO2bhbjr0R4UZNP2JoJspqJiINuen4M+PZ/Aow8/hGd69xRMXkn1EWk4MXx1UQYbNEzOjoCzEKvWbcKoWUuw+LXeqJsUCy9JY5onVMH8laQ1JVlX7PAV2uF3OBFwuRDweBD0kjzmXqoWMOqCePPxjvh19GCcS89Gu1fG4In2zfHKlEVwuz3cO15dSZHfakzFyQZGhMrAtg6rVv+Gjh1JiK9OZRIqVg5sq/t7zI/kWEYhfa//Y4E2Nc6wu4sEzEqwLXccbnRhnRHyv91eiGd7dadA+6WhwzBr4TLExl2HlKb40MKwYFuY13JgFh698g0j3zj0ppE+K28ohZRX7HJarFbUqVsP3Xv0wLhx4/H9Dz/QB8CDDz+Crdt3ymBbvHmFUSONI9IBzW9tim2//Yg6tWug06M9MHX2/OJPzzVFJ6g62NfEbIsl4IM/Pws3UyHA35+fyS8JmQ8LtvkhajXYVvyIxqY1Cg8+CgsL8fhjj2H0hx9SOfnyFV8iPj5eC08rfib08aiK+dTkW0PnteV7ahAh/00xWFv+DXFGvQ9Se1HEwQkP4Dr16uH4iRNwkBeBKFciL0TiBkryzSouRzCIhskJuLtcaVSMiMCQ40fwfU6GtK2sgJem7qJSW8VRB5ELL2JpZHjoXUBqIXwi0OaH47QvK1tGWHNioNYKcTIDQ2R4aRlYPmgUbqaSnVuA5976VNhDCq65i8WPaLMiUJtiWIRYGEC3xtCUX8Hs4+K60j/yn0ukahD6+BrUHTbg88HvIwDbRUG23+OB15GPi99+iKwd3yCmejOUbdcTOksUvL4AzS1Np1S1IEhqK9WpT7cp58pmHXzSuRfGLiVQRBhnieEWeTI1w8fXIkOGQgf91cv5sIkQsM0zfiFAmwfZzNRNz8XICqCFge24hCS8Ov4z1G7aAq9Omo+yVWpg3As9sG7F5yKbqGQ1JbAtMozKAQIlWC7JOeLNtGSwzQFwvVwdvgDWnLq53gvkPsoudIcBfOze4RliDRY4RGrN5sUY55Cqx309+qJdl+74Y/V3cORehasgVx5oMegRcDsx/61nsWb+ZNz99CD0/WgW4uLjFWCYgmMJdAsAm4Ftm0nOP0/BgLqK6wpV3h4B2NS0aeNqrP1iNipWr4U3pi5EszYdROdkNvgTWmnKLzqwwB23dA8ysK28F0sKvIXBG7n9yllgQomWxrfehm9/3YDqtWrjqccewMLZM4u9D3iuIOQ7lWJAi80uaVeJ+K8s/GQkUqvWxh8Xc3AzlczcQvR/5S14ctNVwFoE1AxAE0BNQDQPsiloFYGrCLAZyDbQKoBsCrYpOBbyV5M81npuKoFmDmST62zfuwyuU+thq9EBMc2egikijsuFzYFycSqAbEElJbPXhN1WgWzCOrvykL13FQXZZnHwiUrGxZSSLCbbagC2f7cEDz/9HFre2YGGK5HBKimNFwe2szPS0O+pXhj+5hvo3LE9dD63WAnYdlPADa8TIIZnLgeCTjuWfr8K87//DYte7onogI+mMCWpTD35dglse3KFKQHgvoJC+B0OBNwuBIlhmtdDQTZJ/0UqmW9WvTy2jB+COhVKo9dHn6FCSgI+WPitihzTuBnCsdoik81A9xdLl6Jr924hPha8b4REqnBeIwxkEwWiw+fH0YzCf650PNcZKhnXKkqlKC/WufYidGXDl6yMDDzT4zGcOXkSny1egTbtO/6JXyg5yOb3JUQRLn6W1lTJxQUZIdMS8vpztmX1L4sdVyKzE/+E32f25+QB0LfvM3j44S4YMuQ1HDp0GP369KYSNGlXmKyc/hH3W7ogkpOS8NPyRXhz1Id45a13cOHSJXw44g3B7EB9trRY6hKXP/u3OmpkFXBH3TQScgr8FZJxLgxAAbY1ZOTsZmGr0Ze9KI0NKfyooHZJS0tDcnIy0tPT0aVLF5w4cQIrv/wKd919t/Zzj1+mKTYIP5audZfyync2dKD4a64NsCmTkBVVlBhL/lW+E6JmDeiYaUDu8Pfo8SRmzFuMVwf0llNN6PXU3CPP4aYZr+VzEaQdvOG1amDFmYuYnXkJF21O3GWIhysYgFF6iimHGDwIwkJFjOqTKrRbKwxwiR7l7DoL64Ym+iKffAhiLbJRHzGIkB7p8lpEQh7bvB4eHtgHN0N5dewXyDiyAYYKt0NnipDPQFiml18mPCeJTFAGrDr47RnQRSRCZ2ODRCzURhlWobOWgj6+KpXUkY6PX0c6Y2YEfS7kbf0MvoJ0lHvwLdjik5G1bz1KVapDB1kERjsArwiyyYu7Sbt7odfpaedbYtBExtHlcGDpyuXYsnkz9c0gnhmDBg1G+w4dtF4h2kcs3f/KBiNIEUWJtXiPCOurJeTyemQfpXtfPHdqgMCuAwutEGT1okKGvhzI8118SQRY/AVgtUWgSs06mD/2HZr6q3yNOlg67h1cvXIZDz//hiAbpjul/CXynGP7LkjDhfZIVqXfSe8edj6Uz4kQFl/BAMuVB1ikQ1U7OQpV4m+O9wIhIkirpka+4sA4ZWXIMjG4ixQyUMMPngtPFfk6CqEwciXL6FQ87UROTq8lMQEiXg5BoMYtDVGtbkOcO3kUSyeNRnK5Snjk+aFwFBRg0stP48r503juk7mo3bxN2BRrrFPLv3Z4sKoeOGFFkbpUXMfvJu7Gfvy4YAZsERG4u3sfREVGKuXkakdxTqXBlitSvHFAWT1ohWIGtPiiGvYWw1LYC1v8jntPkVSw85Z/g49HvY0Phg9F2qULeGX4KEFOrCqSQE2jv8OTL2wNxb7w4/Dhekrcuy8nIw0t7n4AiaXL4dRVByrGRdw0LuTTN56DuXw9ZO35BWVad0POsR2IrdUceoNZio8WBrkFooD2b3VMQi5LymnohS6IALmmeiIRJhJxcu8TWThR8wWplDwYMECndh6X4rQFlEbUT3nbPoO/MBMxLfrBklKb62KIsmkRBKql4jKwEZWGEuAWjNJ04uBAwYkdSKzflg4emDhFSASL0aYDVnp8M+ld1GnYVGC42QCWlMZLZrOvXDyPl55/DpMnfIpaVSsDDGBTebhbiMcmQJuCYxcCLifGzFuGS1cyMfv5boDTAV9hAXxOt1SZ4RwpBpLz22JCwEKmZhj8JsBshs5IzqfoGM7k5PogkmIi8P07z+GtBd9j0jdrUTElgbqSW6wGGeMIJ5R78XHnkGbNUQJs8n64mHaFqkiI2oWmHRTbA89mK9MjErCt8qIQ47Uv5jmRHGVGSnRoZqWb2gzN4/Mjs8AZMkIX7sdC90L5UNHagBbTVtT3p0+eQJ9uXeBxu/HZkhWoU69+CY5E2XlXMGdhQLb0QChqc/zDnvvMG+SEMhnKzlFREkPlfvMfleuSh8vIt9+GxWLGiGFvQE8fMIIxBI1lpI2LHUwwZH7yzLkY8vZ7ePSBzpgz+RNYLJaSG5uVZBhWIY8uqnAnjc0bzTAmlAvJuft3lwBhzbIvygtCWDf+RpLTlckPGq14FQbIw68T1PxOj02bN+OHH3/Et99+C5fLha+++hq3NGjA3bfKuK6QkAZuBF54uGnL3ugRaLQR9brSKD3/W/zvcftRZNGIueNvC3UYEFvOpJdGHWAMePDYI12wbN4MlDIEoHPkAoU5mL3kS0TChwdqV4Draj7cV/PhulqITzbuxR3RsSjtM+KL8xcxL/sSGhqj0ADROOJzoCFiueMWfnkXclERNiRBOy7oNOwUjNdEZFiJMSseBLAWWaiLaJSDVTNd1EW4kB9vw7r0k3R0/39Z/jh0Bi2ffA9BRzYCuadhKHOrsJec5UCRRezcCviZG6rw2BG4egKG1IbiAgZF+E6zuIzm5D4GU5nGAiMRdMO+5wv63Eu5awiiy9eCyWpG7u6vUaFDD0TYTIiOMCHKZkKpCBPiI81AYRY2LJ6Ol98fRw1Vos0GRJFK4usMOgx77RXccktdPHD//XRgMj8/H+PGf4ojR4/izTffRIOGZD+5AQCN4w5VOcnSOGXMGe9MLdxn6ng1msaLKwrAwQ1w8OmBeDM0yXvAH1CapHEu10RS//WcyajT7Hac2L8LX4x/F007dEbvEeMo0xNibsblZVa4i/Pma2Llj19xDAqALct81TG/POtL4vF6NCorG3T9jwrpI6XnO8MbZSlSNWmHlCnd6IV5mblRnlulKzlz4pUdyk8fPUhP5Ht9usBgMuGVyYtRvmbdYkA2NxiiAs+8/N3ndsNJOu9eD0olpqAwNxsetwsBnxcxcYn4cupoOjDTbdAwVK5VL8TITDY3K95RvKS564s0RFOP7Umz8vlXm9Yp31/ysvmzpmP022+i0wMP48OJ02kKIn5dnmlTGKCpjO2Kcx1Xst6q/QLgdjhwYNsGNLnzbuldH2Mx4oG6qf/ztnAkLR/9FxGXcWHnfW4XMnatwtUjW1HuzidhiSsNQ0QpYViRvw/V7uPsfDCXctEsTf5M3MmFqWyExhzL+fReQfjy03B1wxTKzMa1fg6m2PLCzkp9C/EJxCtAQ0Zo5M6LjsulbSSGmhYTrWazDlabERExEYi2mRBD3ic2E03hFW0VGG29x4ED639B58d7UIBNTDdJXDY1PhOBtkkPXDx7Gq8OehEzpkxGlQploScx2CR9FwHbops4AdmEgSZTt70QL3w0A3XKp2Dg3S2oHJww1d4CArQ9ItD2COdOVPXpzULebwK2jVYzjDYzDFYzDGYz9GaiGBBZfIPsLA7RBG7qDxswdNYKtK5fC9+PHQqLLQI6IrMn5mfECI2oAUxmgFQxdRczPuOnpI79dBLq1a+Ptu06iG7jcrYM2RBNeMcwBturfndx5p9EWdOuWtJf0hb+MqCdVeCE28c5KxcBgNXfs7WKG6HT2pYWe0XK8aNH8GSXztQsbM6SlShTTmw0JSkqpqUokM3vgxJmCp08XTGAu7iXgBooq18O4UA2vyj0xQLMmDYVx48dx4TxY5VgW3Ij52IqVKD76x9+Qu+Bg9GmVQusmDcTVquleCb7hoJs1RFyDz1DdCL0ETH4XxZf9kVqKCHulPZF4sC1pgu5BqjWBNrcVA4BUALt0R99hAkTJ6Js2bL4+ptvUK5ceQW4pXcr37lQAWqtziBbT120gLbwC/Lf8B0DxTKNDkNRRWYpOAMqHsxz2+H3SeisCWDbrAvg999WYc/OHRj58rPQO/IAew4unTyB1yfOwcynOsOVnQdXdi5c2QWYuuUA6phtqA4rCvLdWJuRhen5l5CqMyM1aEFjxEoDXOCAdnnYkCwCbTkljrAmibM+jAK0Ah/Owo36isUBH35HNhoiBmVgC9kOKS748Ssy0QlJeGrmGLTu/wT+l+XuAWOxbscROk87Na486Gxx0uNAE3DynD7n6yeoPNinIIJktJ4MDrKUX0qULa1H/sZ/bgOM5W6j7IfnyLfQW6IQ3+YF2BLLwxwRCbPNCrizYI2JRqnEJESJQDs20ozEKDNOb/oJURYDHni0O+IjBKAdadLTun3zBny5YjmmTZ4o7Cb3uxcuXcbYceOQnX0Vb48ciWrVqtF89Rs3bEBuXh6SkpJobdWqFaKjozXBdjh3cbnzLzuW82BbOm0ag7PssSS3dWWaFMLky2A7CI8IuJVppYT9cDgcWDF1LCrVbYjP3nmFukQ/+9FMGMwWCdTJoRtKsM06P5LDOec+rtVV4d99Uky4JFEPL69uWzURdZL/t7m1WR+pSCAd7rkb4uGivC9CQJtiAEOVo1lcfu7EUYzq9zgiomPQ6I6O9LrZoktRQ0DiVk7OtBSixg5C3BeqKvG4kXbmOPKzM1H1lkaY9+5r9Nq0eag7jCYT/lj7M0xmMx557jVs/vFLZKZdRJlKVdHmga4ozLuKuMQUGlPOZN58yq9webGlgRQNFls7nR4pRQNsvh8mH6M0qxjU4MG2PC8PQLB1Vv3wLYY8/wyatWyNiXMWwWy1Fgm0pbRtzIGfcyfXBNoh+6AE2eTDjwtmIqlcBdza7h7FIHeLCnH/c5PAV1buw67zuRJwlgb8RQCdvuMHZB1Yj9hqTZDa8jH67iAybOFcCA1F8l+hHBEPwgW38gBlq7mc3BRcy07lwroEZPvhvXoRmb+Ogd4ajYS2g2CMFDKAyA9LjsnmB3zpP3SnueeVcDxSPm0DSedlpE7jeniRsWEu6nQbCmuECbG0mhFD3jdivuwTW3+jcvI2d3UWjc+EVJJqJvvS2dN4ZdCLmDtzOsqmJFKQTaqCxaYyb5If2420K1cw4MNp6Hd3K3SqXxUBh0OKvyZTArC9Tg/OZORgf0YOTuTm44rDiZZlktGxSlmUirbBGGGBKcICo80Cg1Wcmk3QmUhcvACudVLaLmE648cNGDJzBXUgX/7Bq7BFRglu4yYCtgkzLgJtDlQL82YppVdAb8T9D3XBii+/pgy6TwLZ4pTGYAttSwbfYiXhX8FQsE0+NypTClUSIv8ZQNvl9SFbzJnNF75xh/uOW6ICqlp/FGZbqu8YyE5JKY3PV36L+Hix0ZSkcOCW+1gk8aL+fc30Yqpc2lqAW7NDFA5wc+sXeSgaQJu5cc6aNRPpaWkYOWKYwGQTsE2BNgHdPNCWYJB0sGs3bMbDPfvijpbNsXLuDAq2i4RGJaIpS7KO4qSEglMyephIWG39/y5n9tVLqv3j19D9eaCt+J4zsZOm5Awy8wihHj58FK1at0alSpWwevVqJCQmhmXOSLkWdoWtrz666wLbKoaguKJuM1oARb0Z1qkjYNtKY1KD6PbYo5g3+RMk2fQUaAdyMvD4a+9hXI9OiPZ64crKhSsrH6sOnsHZzFzcG5WIwnw3rdsK8jHDcYnKw7uhLJWQ8+U4CqkstBpI50YGi2yO7OkqZOF2xKtM0cSOGYI4iHxcggu3IQ6JkkO5cgiBrEdAdhOUoux5XJkUjDq5XgCR/4Py69aD6DxwvNK34Ow66FMaCCm6uN2njqTs3laPjIQpgcIrCNrTYUhpgOL+MJB7DkG/G4G0XdBbohF9W19YY1NhioiCmVYb8g/+iOiyVVC63m0C0I4wIS7KgqRoC5B3BRXLpKJ8cjwSI8yIMusRYdTj8tlTeH3IK/hi0UKUioqQszhQqbQsfTt77hxGjHwHeXl5FGy3bt0aiYmJyMrKoqEd33//PT4aMwa33HJLSPuQGW0l2FYC7FCWjX/X8CnvpOWqwS0+/yjPahOQTdK7EEk9H+vG53PevvZnbPhuJdo83B2Thw5AzcYC2NabLQr2Wg22eVmfnOZLCTb5IjzWVCCLyYdVjLZsGKajTN7jDcr8LTlUtYrb66OycZ6RVjxXiwPWRSzngZoMCEPBm5xXNoizx4/irT6PIj4pBW/NXIqo2Hh6zs8cO4wtP3+NrLTL6P/eRPwwbwriksugyi2N6HHs/n0Vsi9fRKdeA7Bj1bfwe72o2agZ6re4Q8xXLTz8i2q+PMhlgJlOORMznsXm51m8egjIDgHTxSgF1f0o1R7zrt6KeFDV4BZ7x7C/Yd0msnzLht8xsFdX3NridkwgYNtiDUm7p4wlVbLa8m9oA21+Od8HZW1n6pvP49n3J1F/Huk7BBFhNKDLLaX/Z23hj3M5GPrNAY6lFgcppO6fCKDJAF9+JgXEp7/+FKaoOJS+ozss8ULaPunvKYgWzp2wHVUubga0xXV5tpssc189h/Sf3ochIhbJd70Bg1U1IMeBbMXNLbmTy6Cd723Q2GwRaJspo22E4+w26Hx2VGrTBRHk/RJpRlykALYJyM6/dArfz/gYwybORUykFZEiwKZstlEA2ARsZ125jIH9n8GcWdNRoXSKGIvtEkE2YbMFmThJ3UXyY+/YdxDDpy/B+AGPoUZiKfjtxNjMDnceAdnC1F7gxKSdh3Cl0IkWifGoEhGJRLMJ23JzsT4jE9EWM15tfgvKJsUKYDvCClOklTLchNmmgJuy1UYuVzbJi23Ana+Npem/7mhUBys+egO2qEgJYNMpCecyKgG2nDvbhN0HDuGLZSvw3oejxXeT8FyT5iWzM7UyS1Zk8YZobP73r5bgkzdeQgTFLzcx0CabIyO15GUc+p04Dfe3ii9DY7SDfwJo8yB7/srvEJ+QID8yizpyjllWLCrmpaH+felIVMcubCs8w60FnrUAd0jexyJ2ToZvyheL/HICRgwfjipVKqPvU704sO0XWG3xIaIA29xFY2C7TYvmWPn5DCpHV5yQkBMljbcWcTJLeHsWAU71UfEwRJbC312o/CjrvCDXuVFAm2OnBaDN1lMBbQ3p+OEjR9HpnnvhdLlw+PBhCrJRkg4dA6rFrKdVigLa9LevBWyrpKNav6UewJJAh8REhG5H6NSBsiYWA2A16rB21c84vG833hz4NPTOPARyM7H6t3XYvucgBrVpAnfWVbiy8nDl8lWM2rQbb1aoisI8N625Ti+2OwqwwJtG5dydkMxFZAdp+q4TcKA5lZUrQTYrhNXehquIgQn1EI1IGJEJN9LgpgC7DqJQBQTIaTG2wjnciByUgw2V6XqgTqRdPnodbYc8i7+7kHPevMe72HPknHI5yQV6cbsQry3dzyVE1qrViJO4//wmGCu3Lfbvg84c+E7+TNOCRTR4HKZSqTDT3NpRMEdG07zajtMbYbJZUKFZR8REmhEdaUZCtBk2dx7O/7EOjz31DOJJahCbCZFmPdyFuRjwVE/MmTULZVOToCfPTuHghSmLL6MdWqHNSqoU+r28f5mZmRg48Hnc/8AD6Nmzp4rlVOZUVrDXarAtnid2qtjjhLF9TF7L2g3friXwy7MEBGiLEnJehqclx7t09hQiYuJw+I+tmDHiJQFsj5lVpIw8BGgz2afq2cBOGIsD5qeMBVWz2kbVtFm5WNRL/fvVTuQa5Ra6aGaCawXRYdltBdDmwJcqhzmvEmBA+/TxI3i99yOIT0rFqNkEZCcoWVPxd4mR1unD+5CZdglxiclILlsRGZfPIyGlDBJTy1AXetafUBIEKim2qsj9HaWbumwmyEvFlRJxyd1eZSBXFEtdHMDm15OuGfceVINt9eCWPKCrNKgl623dKIDtphRsL6YMf0mBNm/gqVYwBIsB2i6nE0aLhXpKsONh9yIpjcvGon7p/01beH75XpzItCsk4UIXkw9TE5luqdsYhCs3k4Ky9J0/ofD8YcTWbI6kxp2U+bY5OTkPquk54oG3+NmdfR6Xvh0JY2QcSnceTgdhlb0bjsHmBoLpLongXWCzBbDN/y0Z4CBAm0xNDGif24mEKrURV7osIklYUhQB2mbEiYz21XPHaRrdsqXLCK7jxCyNxGWT/NUEaJP88nnZ6Ne7NyZ++glqVakosNjE8Ex0FwdxF6cgW2Cz53+7Gj9u+gNTB3ZFKaMePrsdXiIZLyQg2wF3ngN7z6bhkz8O4bFyZdAyKhZBv3yu9CY9DGYDznndmHj8JB6oVgEP16sKS7RNANoSw22mMdx6k8BWU9aahK4ZTHjsvRl4/tFO6DJsPO5oXA9fjhsBa2QkBdgMbAvgWmSxjWzejIDegKFvDkfXHk/S8F/p/cMz2GHk4tRvRQNkkzZWkJePNV8txptDh6Be6RuLF/R/BZv9Z63Slc/i63cgJ0nXn+76MJKSUiSQzX5H7tQVtT/XDrKLKnxzFR6EwisylD0MHaHmH9YKwEMfuLyEsCSVj/dR1nfefRebN2/BmnXrRTdy3ohAOhOapX3rlvhm4Wz8vmUr+g4aIqSQum6QXVwtvvgdef+TdF/EkI2C7Bu71aLTeEnPfmXruXjpEu5/8CHqHHvfffdR9oyup9nBU9USgGz+3g2311pFOWgkd4DCrcwNN4RU9cCVou2oOpvMHVx4QMsggjysvQGgXYe7sH7TFtg9AQSNVsBsQ4eWTbHp6Bl49QYan0RilWIjbSgg8k/JiVno/NU0RSIVZlyGC+uQpQAIcTDjKjzcUAAPt4UnQhxMuAcpqIFI7EEe1iCTguxUWHAPklCFpvDSugOEs7EPBdT1XADZwnbJvq3+eAoyz3N+AX9TWbF6BwXZrBMlHbfBDGOF1gjmnUfAyVz55auome5Lo1AgSdJ9pdwiLwi3rscO3+nVtENkrHEvQK6vwgxH6DBFVWqI6PL16N/QgRjqwq3HgXXfoWzFyrSjQ2PjxPi4+bM/w+BBg1CWMAqUUiEOrD66bakG/dSAR/LAoO2YWF4p0xwmJyZi6Rdf4OSJ4/h0/PhQBo5jpHlXZAl0shRXFIyqpLjcZ9lUCiFSXOKezlzUJTdySapIZIui2zNLJcUYSHE7ZStVRWFOFtasWIC+Iz7B0V3bsOD91+jxhXcj5yrvHK6xPg+qWeXXV8vG5ZRrwnTXqUvI/h+kviOx2f5ggEsTJTqlh2NaFTXMMnHQgZm/SaCUk8trSbBz0tMwvF93xCcmY/Tny5GQmCReZ8FrgLp8k5AaA3FDNqJ2gya4o9P9uKXpbUgpnYr6TW5D2fLlqZSVxIpSOSuNHWUuyNy0qMqtw1LKKV3FxRReXPoy2TlfdsEPdRYP5yqu5fDOBmzkFF6KddQDVPz1UBMY9EorETuZNG/dBlPnL8POLRsx4uXn4CeDLSXqyWgboZXUMvi7OZNw7sgB6W/lLQrlwJW8/0m6rw2nsnHmqkO4fsxRnHMPl1zGxXRd7DOZEsNKa3QsKtzZHTW6DUNk6crUwfv4ordw+ff51NjSQEChkavks0kPo7TMAIOJZBYxIOjKQdoP71OQXe6hUTBHx9OQBwNXhc8kRlmcUmdzAqCZ6zlL56Vdefd0ktveaLUhMj6Fuu1TB3/mHm4yYMtXC6lkPDW1tJBKjwFs1h70OvjcTjz3TD989OH7qFmlEs2LLTuMC3HYgrM4YawLMGzSPBw/cwGLXu2FGH0QPrvgIE7dxfMIk+3AhuMXMGX3EYyqWQu3mWPgznPDRWqui07p51wXyngN+LhOXVzMLsCrv2xBXnYBPAUOeAud8Dlc8Ls9CHi8CJAQYjE3OX+73tmoDr4aMxTrdx9E31ETBONsBVkkDkRL88Igtcfrx6HDh1G33i0h4VMhRmh82Azr6wVDQfbKWZNw4fQJdOo5AAfSC254W7ihQJt0TvKdpANZdClORqRc889B24L8PPTt/ggMBgPmLvtKAtlF7pSy135DQbZWkfqbkrwlXE5t4aGoJQdUjGqqE7KH1DCpwrjlxMRg8pSp1LjnSkYmJ3ekfrBKZlXjjLRr3RLzp36KFd/+iGHvfyw/1qURBF56rrFcvY5i9EH9vXQWiznRAfgd+TfwypXgJ0lD/p+lGONf8Drk5efhoYeFtvDwQw+hW7duYcY/uAVqBqVIlkU5KKLGRMUpWbTBtsZUC2lzG1GCbLm9MIktD7AFYC2DbSU7R5x69ejduxdmLFiCoMkCmKzQWyPR467WWLJ9PwxWq2AEYjGiVWoitubn0A6AlFpHB1TWR6AZYnESDmxHrrSjBPwQhpqw1kpQKXXXpGVE8t0WibgbyWiMUigNK0hkV1FPxqMopCnCGiBG6BRC6ISadMA3OWexe/Js/J3F6/XhnenfyfFs6gE7MhuVikD6AQRYmi7pK95fACqGWLkJJh8XVCEht7Mw9XsEkE3+IiIJOoNFfPYKLAT/bCo4tZPGlVEJq5hTmnSC/G4nmrZqI3V4SMff47Bj25ZNuLtDe+ipiaQfOj8B1T5FpeCbzhOVEAPc/DNR/n0Sr/ruqFG4dOkSlixerOjEK+c5cK3+rGL6FABb9ZmAMJYSSQbZLB+zPE/SfSkBkAjKWEopDsyVr1oDz7w9BlfOnsSz703Ezl9/wDfTxnAgWpVnmwdC/Hf60BoSg61gPtXf8SnXhPrVnKn44+TfO+hE2UWPVwHYQtJ5qZcxEM3WFwdP5M8aIJINmvCDKpyZGLlOrsICvNmvO30vjJm7DAkJidKgiVBlsM2ANw+AGUAW2DUGsvXXDLKFnNnclP2m9PvCvijANX9s0jGGA9glSOfFgWf5fLK2pMyfLV07xXrqNqnRQxI/ELA9evIsrPrua0z88J0SEwbCDaRSZIWwN9rl3LFDqFjrFnkol5OhkQkJBdmf9vcOOpF38OI/LgjPDPbeNIjzdCrM88L8yWIAAQAASURBVACcB91SJfdMRCRiK9eFtVQC6j79IRLqtqIAOHPndzj73Tjkn9zOAWwh9RcB1wx46/wuXPzuPdr/rfjIO7DExNG0nsT0i4BrVqkJmMkII0sfRllqkmaMVJYvW6+ZO5usx5zGSS08txuOtBP0GIxUBi60AdJm9H4v9m/6FdVr1RVjsfm2IrRD0scY8vIgDHrxBTS+pQ4MAS/0NBabAWyhBt0OOPJy0XvkBFRLTcCoJzpRdpuk5vIxJrvAAXe+A5tPXMCCgycwqloN2FwBuArdcBZ44Cwk1UunDvKZ1Hw3fAUePJGcintTkvHSqs3IycqnQNtrd1EjNb/bi4CXgG2fKM0X3ncJMVHIzM1Huyb1MP+dwVjx60Yqj5fUmFK+bKbWZNWAX1b/io53EUM/kjs71KtEUErJKhGqlJJispWqKQK4v5k3HV6vl4bDkL91+QLYd4Pbwg0F2g6Pj+48KcWB0hsNWvni8Xjw3NNP4srly5jzxZdISS1d7M7oQv4rGmQXDTdLXkK6V+HANge41fIltr4kiw3DVmuBbl7+xKrFZsOYjz/Gi4MGi6NM6mTxvKQ59Ji63NcJ494djvHTPsPUOQvCMNPFMNZqQH6dJeAsFHL8/U0lQEy0/ARI/W8LaQvdnuiJS5cv49uvv8Ku3bvQrl07+l34QR15EEh5/xUhcVRcWS6+StwPNfgu/jZSLeFZAz7LNo+/pN/iFCBSfCKTFfGuySRlk2iO4ZeNnug0CHR+4CH8tm4D8l0+wBIBnS0S3Tt3wPd/HIaPOIZG2WCKsuLROpXxU2YGNTch6TlMRqGjeIshCi5dAHfo4rEP+TSumpVbEK34zGB2+KJ+rgpnW4Un6TaJxLwl4ug5Ih1QMvIdadBjly4fja3RyPv6R7jSM/B3ldc/nIaTh/4Q8ouyOED1/WCwQF+pLXSRKQgUpiPgsWtui/4ZPehQlpuk6CKScLoKpbjlzqSOxYSfWQt4HTBWvQuGxFph9lgYEMg7uhmW6FjaOSMMg81iQGHaOdz7ZH9EWM20A8RA5uIF8/BU717QBwmL7YUu4JVANV91fqEKn0V2W2K4VXImcb/HjhmDNWt+wy8//6zNdvJsGhdupGA4FWw1B7AlsMLWEacSIBMANxmkkfM0QwGAlOwjA0kycC9TvhIef/41mlroru59sWrRTPwu5tkOiavmGe5icn6HGJ0ZlFUJsuXtkd86d+wgur8wBO6IeDi9f5/ayUvYHZLPPSzrei35nTVAoAKMqwZZuHMY9HkxfGBvZF65jE/mLUNqaSFGl4FwNrjClAyM1eYBNl+tNGZUCb4FBk5Ybi6i8iw2y5PN7i/5WrP956Y8yNYcqFCds5CBJ26wggPRamDOqw54bwPpfHPnmh/k0lJZsdKx84MY8s5oLJgxGUvnzfrT9xM3vC19DlknGET7x3qGpF9VMORB4HBGIeyev6+PtPpoBjIK3OI9KQBraWDHqJoPU8mz2SgCaFIJC240mxBbuQ4ik8qgbOtHULFTHyEJps+J01+ORu7htYDfKQBcE2GWAzj/7YfwFWajStd3YYtLpiDcaBbAuNGsl6v4WwLbrszxrSPzNM0XGwwUATj5XgTlAitP8oDrcHXfr0htfp943OyYhfvfkZOJzk8+I+SZF9sYY7HZQNjEcR/j1iaN0KHN7VIsNkvlRVlst4PmyM7Lzka3YZ+gV/tm6Nm6kQCw7YR5Fqon30nrtpOXMHf/CYysXhNw+OCye+F0+GB3+2kt9PhR4BHm7S4fHE4fnA4vXIVeNDBHoXeFCnjp163IyMqHp9AFL6kOJ/wkzTNht71eBMXnX4WUeJy/IhBRD9/ZAuNe7Y9xny/HlMVfCTiD9u1Uab1Ehe3SZcvwOCGLQnARx2CrGGs+FEkImRFIl8K8fDS5sxMe6k+wjoyFDqUX3NC2cMOANmnMhS4lmx1COqmIib8KbI8e+Rb+2LYF0+cvQfWa4TpT8k6Ek6oWBbI11y1hKQo6MrDN5rWkuQw8hADxa5SP8/FEfIoYUuvUrYv27dpjxmdzlKw2m5eOWuPIg8AL/XpjUP+n8erb72P9lm0a64QB0eIOSHJKlaRSUy5dwrP+d7HaZNQuUJCNm6G88dZwbN6yBcuXfkGvW+XKVWDUTPGkwWarnEvDgWztLYWC7dAiQgQObIdns0NZAoU8TxwZCEk/xo1oSky2Xwm4iaMyBdcKZhvUdGPgCy/g05lzyegTdNZImKNj0LtzWyzaeoCCbFOkBXGxkahcKhpH3Q4BaIudxnJGC3LgQX1dFOojGluQQ6XkZP/iYYYDfhRSVps/c+E6TEwArjx38l8GqZu5HX5qoqanj3YhF69Fr8MlnRMOnR8dYuJh1flxbu48/B3F6fbh56Ne6Lx2CrKFLL7Crsv3FzE+Iy8jPWCNoXLywIVN8GceRpAAVvkg5SOmzyLVefLYZQdz7uHN7gf/5Z2CWVrl9oA1VmC9Q4r4N14nrMkVRfZCDwsxOzMbsWbeOGqYZ+M6PyQVzW+rfsFD93WGjoFsAqgZcy1VJaMtSclFGXkIsy02IMLYTJ82HXPnzsXu3buUYJsftBIPmwcTDFhK8nEOdDK5OLlHThw7inlzZtPnxKb1v+PC2bNy2jue2VYwnqKcVwMoMYZKjqfV4c6HuiL9/Bnc2r4zln76Lk7s2SqDX7bPFEgx9jkUYBflJM5AIgPZkpRdBd5P79+N7+ZOoZ1gcoZPZhXi7yikj+T1iWz2NYLokq6rlpTLgy3KcIDJH76NvTu3YezsRahRs5bi+hoVIJsxy5yKQcVSh2WyjSVktFWScTaAo9gfJnvnWGwBzMghEUUBbHZOtAC2BJAVgxPaVRNsq0C+Qt4vP1VCyhN9B6BHv4EY984w7Nq66TpuLCVoVpezRw8guVzFcH8qvafJu3Hv5b+nj0SkuSv2XpSuH6l0YMWgvNcY+JQqA9f8vFgZw63n5snyyIQUpDRqB2tUDKp1GUyvkSf3EnIO/Ir0zUtx7psxsF84hKqPv03l5xRM8yBblJazKrDogspJYLNlcC3gQcZqCymuJNZbrOR5TpRV1R5/k0rfCZvNHzc5D5dPHEaLO++S1CLMXZwNQK3+6QekX0nDc/36CCm8RMMzQS7uRlBksvOys/DE8HF44/G70bZ2RQRcDvidDvjthM12UCbbU+DE/rNXMGPvMYysXgN6uw/ufA9cdg8F03a3D3aPH4VeUgMUcNtdfjicXjjtHrgLPfAUuFHTaMOzVSrj5V+3IS+nEF47kZC74XO54fd4EPT6hJzlwQAqpyTi5KV06X54ofsDGNTzEbw6ejLWb9+tYrNl3JF2JZ2mKCXZo6giN0TFy0C0Emzzy5jvwbH9u/DZ+68jqVxFkR2X/Q8I4bLrElMh3kRA2+nx0R0tCeAsyhjjest3X63AgtkzMfy9j3Bby9uL2xPNJbx6POyuXielHY7Llb7j4reVIzdqhlHJJvLMtqZ0XEr5wt2Y0jaV7pV9+/XDTz/9jLz8fGWy+BA5p/oECEcyevhQtGnZDE8+9zIup10pkSycAetQmbn8NxLYLiZuU3mxgIDb/rfEagcJoP8fxISry7IVKzF9xkzKiBFX41mffYY+ffoUAZrlqVpZIX3WANlain4tsK11uRhY1n4myAicl5crPnOrcbdISDoU3pFSkeZBlSOYsdp0OXRo1/Fu7Nq7H1cL3TROm4Dtrve0wy/7jqFQp4cxUmC1BzSsiQWXL8BgNcBiMVIGlLwkmxpiaLx0C8RR2fdvyKRpucg+NkMcNSwLSAnS2NBSaKEEbciTQige+GmaLxP0dJs0XlM0eaNmKXofdgXy0atUKqIizIiIMiFn/Ro4slhM9F9Xvtl6GjleA6Jq3w1DwA3/2bVUMk0ldZJFnDLUgYBlfeUOlOUOXNlLmeqAM5cDxvLNQklrMrCVdYyapeiS6mgOjJKc3cGsI9CXbQZ9VCrgKUQw74IoZycmTqKsT+wwkVi/inf3h5nExpGUKmYj8i+cQFLpskhKTKAxc0w6/vlnM2i7InHaNCabgu1QNpsx2ALI5qXkHNiGFtgOwmoxY9bMGRg+/C3kXL2qCbD5Dj5jsoVYZzbPS4mBSxcvYNjrQ9HloQcwb+4clE5NhdVswuFDB/HpuLHo3aMHDuzbw7HcPPAW47aplFwGZbKMnElAZdAbHR2DwZ/MQI9Xh6Ny7fqY9dZLKMhO14jFDpeeS68C2AIDy38ngW11nLY4T87N2i8X4flR42E2Gunyy/kuTfPWv0JdRN9xOmEATCkHvwGAW1NSLq/HVA2rvv2SsqhD3vkQt7W4XXEuKZvNgK6oTGBSVblygFtUdQhAQCu+WleiykIP1DJxBcBmgzB8GERRAFuLqdaQ67P4drJeVmYmli79AgP698fjjz0m1dWrV0lKBMZk82CbD/pRzHN+pMonlzA/ePgoNGlxO4a90A+Z6WnSd+H56dDC1Gfh/uTA1g0ozAsDGlTrk0En19+g8NhwMouahrLBIMWgmaRK4UIWNJQQJjZPBrdN5DNRk4nfkc8UGItAWWSvbaXiUKb5PYivUhcpjTtApwsg9+hmVLz3WWTu/Banl7+D3CO/w5d/BTkHVsN5YT/0Or8SZIux4pTNJs8ZcUrBtgi8heX6EIBNqs4AnF35HgwkRpsOBhgUx3Xp6H5cOHZA0d7k0BzgysXzmDt7FsaNGQ0DeZdKcdmC0zhhs0ktuJqDJ0eMx1vd7kHTyqkIOIlc3AmfnUi7HfAQiXeBE+euZGPMzgMYUb06DE4/BdgupxcOwloTUE3AtQiy7V7y2U+BN2G2HS4/ZbWddi/cdg8q6y3oXakCRq7/A54ClyAhd7jhd3mEmG2vMAjdvnFt/Lh1j3AziA3lo1efRZtmjdBj8Fu4nEF8bRiTbRBxhx7LVqzA412F0EfN2GwO6/Ax2ULKSDkrhqOwEEsnf4ynho3WMI0UpkfSC2+Y2kl/I2XjrAesdhn+K2XifCEO42++/CIefPRx9Hi6X7Hrswci/5n/EE4ufsOKBtJWfAwWDbi1JOEsPybPTofIzhWGakqZLfsdIV7bgEGDB2PchImK0aXQedUx0Sl5iBiwcNqnMBoMeOLZwfB6ieIhKLE3lLXm2eoSycVVYDts0akcvIVlAbcDf3XxO8hLrbjj+LMlVDKtVQ4fOYKBL7yEbl0fR/9n+iE/Px9nz55F/QYs9RFfOAWFGkxz0nDFOhzIDtlasUx2eLAdjs0u6pBZ7La63fDphnhHZJZDMQRk+znpOM0dTJwrdeg/YACmzVuAgNGCoNkGY2Q0XnviQXy6ajuMUVEwRUUgJSkW7cuXwWr7VVgiTbBZBYfQxqZoXA664EYAHZFIO8O/IYsOZsXCRM3KdkKOB5I7akEVyGZHKsyxb9PgwmpkoTYIa85isgVAZCUvf0MQq/xZ6BdVGnE2MyIiTbBGm2HX+7D4k4/wV5cV28/CFlOKxrzZUqsjotqdCFzcKsnIJbMz7mBpai8CeuOrwlDmVsr6BrKOwH9qNZWGBxyZCORdQKDgCs2dTZbTYo6k50famjgTIH9zYTN0cVWgTxAUTsGCy9DHlJeNagwm6I0m6E1G6AJuZGyYDZvViAirCZEWIyItBlSqXgM9Br0pGD+J4MJRkEsZ4EcevB96Cp5FkC1KxGnlGWyxss+CMZqc2UHI9MCz23LceHxcHN5//wO8+OILNN5NLRmX47Nl4CrFsnJxypcvXsCrgwdj+LA30b1bV3z/7df4ZMxHeODeTni0y0N4ceCzNAf4xx99iAWff47+fZ9G3tVsMde84M7Py8oFkzgmL2YgS5yqmMkImw3JqeVQrkp1eD0uzBj2PFUt8CZlWqx1KMBWAnl1PLZkrsZt0+t2Yt/6X/HiBxMRHRMjMKEUfOtwOS80HemNLs8PHIgtmzdpAGEeLMsxwKHGaEUYpvEDL+EAO3Q4dfwI3nntJXTu8ji69e6nYBQpqy2BbKZY4OPxOQkrWyauw1Q8DCwrVQbXVtmAjsJpnLuW0sCRhtu45sBDETHb5Hy5XU4sWbQQjz3SBa8PHUIDPN97710sW7YUK1Ysx9w5c7Bt61baVg4dOKCQjYca1KnM6lQAnPU4BfCtg8loxOgps2kfadjAvvB6RAUP12+73pJ+4SxSK1Qu0bpETns8Szts50aWn48QLw2xhIS8yINkwj0p3l8UiMqglJrumeTQBRsB0mSAmxrziaEMJnEdM5ka6MCpAMwN8BVcweUNK5DUqAPKtn4YdZ56F3V6v4ukW26HJSoK5uhScGacQtCdj7SNi5H5x3cUmDPQLIFoEWwLJm0ywGbx4+qY8vzD6xBXuzksUZF0f9h+0sFbox771/+Ctvc9So+ZDjZwCiLyPhnyymCM/+RjWPRB6PwEYAsu40I8NpGMO+EpzEfvURPw6iMd0LRyaQRcLvhdBPQS8OukcdSEyc7IzMewDbvxRrXqsLmCcDkIwGagOgC7T1kL/UEUss/+ABwi8Ha6/XA5ffA4vKhviUQVWwTm7zkGr90tsNoUbBMJuRsBjwfJUTa4PR7k5BdIPR6TyYjF40dRxWX3gUPgJXHdknxc0Lj+9tsa3Nm+Q5EGz9SHR0xfqOjzifiIxGPn5mTjlYnzqMpBTUgy5pv0Aw+nk/27SYA2cdEktumh7MTfB7bdbjde6v80yleoiPc/mVhkPuliS3Fy8RtxMGpQrWarQxjsohluxU3HGD2t7UqAO3RESPodbt327TvQtFCZWVflVDSM1dak9JVgOTkhHl/MnIAde/bj/U+nhrLWir3l4xTDGaCpmO1wbyKe/eLYd7/LIaW0+CtKgI4m8k7jN/i3uONSO4vzbaHX031RqWJFTJk0gbaF+QsWolfPnooXeCiLrbw/tIA3f0gKtlqtylCjnRIdVvigDB5sF9X8tEIohPhsoSocxplsXALXoZUw4G3bdcDm7X8glxg9mm00Xrtdq2a4cDUfZwucMEVHwhRtQ9d61bExNwd2UxA2As5ovks97jTGYytyYIUeHZCEDLixC3n0OGohijLRm6g1msCqCeeRAWp5jn0mc3nwYgOycRx23I0kpMIq/6UONKaWvKO+92Xi8YhklLNaEG0x0lydlmgzPj58DJUdWWKuz7+m7DyZhtO5HlijY2CNiYMlqhRspWsiqlE3wJ0D/5V9QpsnOyxeN95FWbyi0JkiYSzfgsZVw1JKyAfqtdNYa5IKxFClA/SJNUVmWg4lCLK47HO/A+YoGMq1lJ4Duvhq0MdWFP6GpV0xmqgsLf/waiQ37QyrCLCjrEZ4rl7Bj9M+RHypGMkBlgCLr5Z9gb59+8CoI880wi6IIFsRo81AtYrF1gDbghN5mOcggmjauBHuvPNOjBnzEdeZ51zIVSZNPJOZe/UqZbAJwO7z9FNYvHA+mjRsQME9NWZTyNz9qFC2DCZ9Og6DBr2Ep3r1xOGDB6T4WLWkXIrlVbGbUpwlx5iSzuOz745Hs/adcfrgHvwwe5LMVBYDshXx2GqWWyO+m4HsgNeNWSMGIbpUKQ1DLR2uFDj/2veC34f3330HK1espAMluTk5nGN1KIgumskuYplWHLL42edx47Vn+6JshYoYNfZTWdqvMr8Trqk+DMjmXI95d3LuHuBd6EPukWIqG8Sh95joC8AbnzH2k4VCFAWkeXWHlmIgIz0dw98aRgE0GbhatHABPp83Fz2e6I7U5GT6m6SfEhMdhXdGjsT48eMxcuTbOLBvn7h9nsHWqqrQDo7d5t9j8YlJ+Gj6PBzauwtzJ4294UP0T735AWLihSwjJSlHMwv+0rZwNL0Ap7McYh+OFPFfPtSBa+f0npLAtVwZ2KZxzOSZTKZmsRLQalKCbQKwGfttgB9HFr4HW2Jp1On2GkzU9Iyk3TLDEh2NiPhEpDRqg4rtn0BkcmlUaPcETf2Yvu0rSrDK8dmMxeaAt1HHxWITcC06qZNlugCiK9RG2ZYPinHmAvgXBgwMMCCAri8MRZUaNUPbkUGH6VMmostDD6FG5Qoiky1UiCZogmTciVfGz8YTbZuiZfVyCLhdFOD6nQRoM5DtgiPPgTfW/4HnKldCok8PT6GHAm0S7qUA2X5Sg8LUp5r3BuDwBOBw+yjQdtu98Ng96JpSGrvTsnDgQjq8DgHg+8RY7aDHTT0iutzeBF/9vl269qTDkpyUiC+mjsGOvQfw/oRpIsg2UMB99PhxVKpcGQajqYjsSRxY1kg7ScaxV86aiGP7dsFoEoxQ5X6i7OXDUiAeuJJ/Q9rCDQHaLo9PZWok/1scs32jWOKJH4/GmZMn8OmMOYgg+diuoSj2oSRy8b+hKABOMYBbNjUL7ZsFipSdh4IkBTgX2aGujz+O73/8MfSNodBFaZwYsXPYvEkjDBv0LD6e8hn+2LNfydQUJRPXgnAhAC4YHoiq2GyhQx+gna6/qgQKc7SHo1WsXYnepBpSWfZRzqGt/l6H90aPwfETJ/H53M8QGRkFl8uFn3/+Gffff79iMxKo5neJGe0p7rdQyXiYs69Ypgbf4dbnj0Kb1daG4YrPvNJDjNuR4nTYQ5d7+PIPYRqv7Wegm6sMbEOP5557Dp9On4OgyQpYIqGzReHDgb0wcuWvMEZFwBwdAVtsBF5rUhdTLp2DJcKESJpf2YCqlgik6s04pCtAOZ2FuofvRR4yILBojRGDirDhF2TgKApgp6J1+RiFs62DE36cgZMy4uTv6yIadyABZvExztzFCctEmKrv/Rm4JyIetSOjaI7OiCgzbNEWrEhLQ7MKqaiVYIP33DH8VeWzlT/j8i8TYLPqERETBVtMtAC6o0vBmlIdxuhEBM5thN4g5NekRmkhA6TKz1SeF1OOGpkZ4qsKnVm90nNAOmc6IHBlD+DOh7FiG8pak+8CeecFGTlxkidA3WSBwWyBkVSTEQkNOiD5ltuFwRKR0d62cjY6PtZTYExEoGFEkMZmd+50l4YknAFrPj6bZ7OVsdp8zDYD2xLglp4nwny/vn1w9Wo25s+bJ4IyZSdVjssVqrOwEJMnfopn+j6Nhx58gLJ3jRrcIv6G4H7O9lGqbHkwgMb1b8GiBfPx3rujsPqnnwQAJJmjqQAaBcCycQ9L/yU5CXNA7tlRn6DTE/3w47wpOH1gtzJNUxj3cFnizDGgDHSpzLJ40H7xxBHc/Xgv3NKshWyeJRpq0ZhNfxA5zr/OvJKA3NhSMZj46Tj06N4dPZ98El99uZJea5LmRzMm+JrYbdEiksmlNQD3lE9G4+ypExg3fTaiIqNCJOWh8e4cSObBtMZnPq5bvi/keyPctjUr9Q9QqjB4bwG2zzLYLkpOHzoYkZWRgWFvvolBL72IB+6/H999+y169+qJSJstNGwtKPeEypctgxkzptPwDb/PFxK7XVJWW/G2Fp939Zs0Q5+XXsPC6RNwZN/uG3rvfTHhA3hczhKvX+j24+JfqPD46dAVRR9COi/iva0OHZFYXVWstsxsMzAtA2wGvtlyWiUQbsCZVfNgzziPRn3eQUR0tMB4mw0wc1NJkk4Aus2K0s06oUK77sjY8R3SNn4BXdDHpSJjrDbPYDOpueBu7i/MxKllI2CNT4bFahH20ywMELB9P7j+J/zx2w/yc5O1JZ0O2Rnp2L51K3p2e0wY0GUAW0zjRUG2x4XZX/6M5JhIPNi0tsAgEzabgGwnMScjJmUEbLswevNe3JucjCp6K9zE1IyYm7n9VC7t8AXgJNUfgMsfRLbPg9+9V7HYdxk7vLkUZDv9Qfo9WY84dbs8fnjcPnidPvhcPrxQtTKm7zkKn9MLH5GOM/k4jdf2ovOtdfHT5t1y31hsMC2aNMJbBC9Mnok/9u6nD2oiG1+85At06/5EWHAdYoLGjNDYsmAQl86fQdr5M7jt7gc5YzRlrnoefOe6fDibU/K285cBbYL8Se5sdp7olP1bMpXrdZfdO7dj1pQJGDR0GGrXFfKelrSomWrd/whbh4GVITJciXlk6bzEB5YAkLk0YVrpwlSAm4c9jMnmAQv7t+Ndd2HVKiElDpVyMFZbGp5VnzgVqEQQbzz/DBrUqYU+L78Bp9OplIhrvtzCnaWiCrc/7LMqlpwK1t3X33A0987vQ9CpJTXhKWCtQQOtwr2WGZ0bbpmsRcO2HTsxfuIkjBj2Jm6pR3IK6zB/4UL06NGDmnKor38Iu60ejNEA2Wzf1YD6ms7VtfwBD7b5w+W3J25TYYbBA2oeZIsyovyCfPzwxXxsWbuKzjPncdLpJpUx3ZTVbt8R+w4eRtrVfClWu1KVymhRvxa+2ncKplJRMJeKRL1KqWhZNhnf5WciItqMqEgzYqxGtLfE05RbZ3UONEIpCo/XIRs+IUgD5WFDJyTDAD1lu39EOn5GBn5BJq0/IZ2y4i740RKxNOUXMVTjATnpdBLjM4MIsu+1xqNxZAyiiJQ9xgJLKStO+N04mFeAvrc3oJJ3zwkxTuoGF2KgEijfADXv7IJgzmnYIgjYjkQEAdulYmErFY+oardTdtuo8yJw+Q8xIsVQzBNXTBEWUpTPHLJO0J6BQMZB6FMbQWeLF77yexHIPAxjagMYTGYYSSiAxQajNQImqw0Z62bAbLPAZiPyfwK0jZTRbtymI2rVqScZPxGguHfXTjRq2JCCShmkyuy1AKzV8dkMYMvstiQ1V5ikBVSAW67kCfzxmDHYtWsXFi5YoALbYicVQG7OVYwZPRpP9ngClStWxDdfrsTtLZpzv8/L2X0iyOfYdW5QIDE+FksXL8S333xFDdN4Z3Jy38mgVwZYvPyYB2RSB1KnQ/cX30BSmfIY/1IvairHAJZSOiy7j/PLhZhudX5weZ5sy2MvxNQ3nkPlGrXRsGUblTmcUl6fQXwY/oJC09p4XWJu9QBaNr8N33y1EidPnKDX5vy5c/TNpA2qr53d5mOO2Xb2/LEdn02diJeGDkOduvU0ZdQK93kpJl+8zqrrIqdwE/5GyY5z64jbFLZzjVU14CIPIPGMtioOvQiJeHpaGt54fSheeOF5PHD/fVi+bClaNL+NhrBJ/ghsXvJMYISA8D1hugnxMG3qVAWA1hfHaqueYfRf1WPsqYGDUb1OPXzw2vPXBIyLKyaLBVlp15bG7kjGjZHMqku+y4uNp4mSSvt7KfSBC2kIVbNwhmkKsC1IyKnbvQi2bcRfw6SshecP49Sqxaj30DNIrVKTrhNBKlF8WWQwLkjNhbhvyWzNoEfZ1l0QkVwelzcsEaTkLAc4n6ubuaGLVQ8/Lq6aiqqPvAZrdLQE6In3B/UAEff3j1XfovVd9ylc94V2FcTUSZ9i6Guv0m2R9F+E0RZAtmyAtn3PAazZsQ+vd2kvgmw3ZZJJJTJuVpfsP4FonR6tImPhcXrhogBbBMy+IFwE1wWCcPgDWOXLwprAVeox8yBSqIR7uf8KTvkdcAeCQiV9Jl8AHk8AXrcfPrcfCToj4k1m7LuUCZ/bS0E2MUXze7y02gx6RNksSEvPpM9I8Q6gN8HQF59Fg3p10Of5wXASM7VAALv37EHjpreGZbMFqTgjWISpkOpLWNftcsESEYW+b48VDdG47QQ4kC31J4Xv9l7O+98DbZfXq3iQaDHbWkWBf64DzBKZ7NCXBqJ+o8bo/8KgP7kVDayoAcL/qqIgaTVwmBbYVjLacux1CGAvDnCrts/+hgfcMTEx8Pn9NKYiVAPFd/X5g+J48WCQjgrOHf8Bzly4hHfHTw0jBy8CfJekFMdmizXg9/4lpmhBR67kli4uCWXg1frr4koIoBbZ7BDADXp9+g98EU0aN8bLg1+ix+p0OfH119/g8a5dFdcoFEBzYQNa94oG8JaOghugKdF50phTH7Kiw1lMdgD1/S6NbqpkQxLI9gewf+c2FOTnwxYZg8y0y1TK+fmE0VROSNhsYo4kAW6aV9uAIa+/gQ8/nSKk+rJGQh8RhcE9H8YXW/ciHzpYSkXCGhuBJxvWxDmPCyeCTgpyo61GxJoNeNiShONBO3UevxPxKIAPfyBX2nfCt1ZHJNogHvcimQJvUu9BMv3cDomojWhEgDC4vPGkYK5EXspOnQ/f+tPRyRqPJrYoxBBWlgJtMzw2A6YcOYHRnVvBEhNFJe/IvQK//cY7zZKcrHHRFtRo2hyVmrbExV+mwnFmG2ylomnMNgHaJOeppVQSLAmVYEysCh+JtSYdWrHtKu6ToqQT9HvOgpwKV/zwn98EXUQi9En1pMFJsn1DuRbQExabVAKyLTYKsl2X9sGaUBrRyamw2IyIsBkRZTPij68/R6MWrWlnjEnGSSfoi4Xz0evJJ6jTOCSpOAeyaRovFZhVuI/zUnPOkZyTkbNGKHhYMIY7QDuckyZOwPbt2zBx4gRcOH8O+bm58Hrc+PmnHyhDN+jFF3Fbs1vx3Tdfo8uD99POmvSbqv1RuqMrZe5Czu8ArCYjZk2fim1bt+CLRQtF1/JQsC2niJLNjPhczPx6xORtyMR58Hk8WDpuFOy52VLnUkrrpMFsSwCZB2I8yynGZE8c0p+mybFFRITEgavBdoHLBzdJP3ODi5+EE9GenDxoYjYZ8ebrQ/D+qFF47bXXMGnCBJElDRNXfA3stnLQBfSeeF3sIw14YZDm9nkZtgSYJXAtgm4RhIeCbX6ARbhevEO8Uv6tXbXZbRn4K6+bbO7HA2zpGCRWVDi2nJyrGPbmG3jllZfxSJcuWLF8GVq1bKFsUwxMS1OVVwJXn3yyBzZu3ID09CsqcV94Vlt8LCnebepC8jSPGDcNaRfOY96ksdJ1vd5S/ZYm1/w3l/JcKHDfeIXHqiPp8PjC9xSoIoPLh66VYUBKLahOE8fAtkJCLsrKKag1wKzzY8ec95BYtQ4aPtibqpYIuKYgWwS+ZD2yviA3F4zVKNAWpeDEeyilcTtUvrcvCs/uxYklw6l7uS7ohV4veBMRGboeXhSc2YWLv86EN+8Savf+AFHJZWES2XIrA/jiPpoQROeez9BQBWFwUi+1KZfDjhPHjqFls6bQ0+ezV47NFkF2QW4ORsxcgikDu1KmO+AheawFyTiTbxNzsj3n07HtcgZ6pZaFl7iGEzabSL9JrLXEYgcogF7jy0YqLOgohqeRXkfNYBT9vM2fiyyfVwTaAQq0vV4/vB4/vITZdvnwZPlyWHjopMhmE7DtRUDMrU1Y7QdbNMAPm3bKbY0WPUxmC+ZMHo+z5y/gvY8+xu/rN+COO+4QYrU1wl55Px51Wi8Gur9bMBNHdm2jKjaJyRbl4jxwV4fQns62U+O+/xnQJjtDZOMcBlA8RBTMdphyPaHUpMybOQ3nzpzG6E+nhElbFOZ3i1Dmaq78VxcV+NUE28WELytqCAvOi3X45fzvqB6A3HcJCQkoKCgsGlyHHJMYiy2OCletUBalk5MwfubnOHbqjBJg8wd4TRxpEcMjKjabX8fvvrHSKArwiGw8ZFCAHyi4Vt6XKwpWW7VMHPSY/H/MvQec1NT3PvzM7JTtnQ5L7713REBAUQQUQaQKCNIEAZWiqBQVBEFAigqC0gRUrIAoIBYQRYr03ntZtreZ93NuSW4ymd1Z5Pv7v5dPyE4mk9zc3HKeU57zwUKcPHUKC+a/D4fDyU55f958DBo0iMWeGgC07A0qyLZwGZe1Np+vPU0+ADY7Pc+TreeL3JRe+qTItZFaXLbJdZz2mVnZmD1+JP79ayeiChRCo/Yd0bprb8QWLobG7R7H+6+NZh463KKtuI97bahVtz7SM7Lw18Ej8LpCgeAwuCNi8PaQnhi7ahMckWTVDkdITBjeaF4HK69eRqLLi4hwJ6JCnYgJcaJ7cGGcsKXgJjIRiiDGSH4XXFmpPqAapaw+tG4l4Qy6JPwS4RSlnKIUXj96bqJ7aCHUCo9AOLmvhzsRGuGGPcKFNw8cwist66FAwRg4I0IRFBaGoLBQfLvqE9zP4vF4mLtVfISbb5HBaDzwVXgSL8Jz8wTCmWU7HKGRkQiJjIQ7IgphJWohrE5POIPDkHN6C7zJl2G3kzs5Zxy1XCjUCdw0NDzXDzKX8aASTTnpmjcbOed2sNhwR2QhBJElOzgMzhDaQpnVJ6xgCZR6qA9CQ5wIJ7f/YCdSr5zF9TPHEBMRzuLtZe7sxFs3cDfxDsqXLsWBKAPLFiBbAGnDxs6X51i4j6tx2yahXwUGJHjOnzeXsaC/P2cOxo4ZzXJ5nz51Cu/NmolVKz7DQ60fhF1Y6aSruEa+pt1HXJ+BQVkHj6EeHGzn8NRQs2fh1x078P2335hShukgyzfmV1qyldRfYitashRiCxbC9g2rMXfMQOz8/gsT2PZHmqWQZSlAjJ5z46eLkJWWipfmfIzKteoZyOF00KYysvO/b6YYU5T+18LmpPQU0cZ6OjcJuMuVLYN1a1YhPi4OXTp3wv59e7nfFcX8K0uYHm8cuHWb/96myUjvzJ7HyLfMFl+ubNDBqppL3UCmp7LWqy7dPq7+xmtZusWbref+QLjpnqpF28d12+Q6n5WRwcbFs3374tEOj2D1qlVo1LCBcA9XgbTC9q9wyHAOGF9DAF1/0KDnsHLlSp/pyGpj3yng27x+qVNbsYRSiCtYCKs/nIdzp074dijRKUxmBOVGvj+p16o9km7fsu6gfkQ4etLD1+5v2jsCMt/9e0VPTWsRYSebx6ePyv4nQlPMCjxJlGYgSJNWbJe+Hdm0CnevnEfrIa8jPCSYhXZR2kYGeAXIZtZlCbbFNTV2c43RnMdXF6jaCFX6TkZ0uVpwBgfj/PdzcXLNJFz9bRXLXJGdeBlFm3REVInyCA5xwU0Wc7cDIW79vgzYO+zYvHwe6jZrqXEhqBbtbzd8iSe6dNYVoKTcpS07U7iMZ+D1RSsx9sm2iHSS16Zg+pYWbQLZqRm4ezcV7+05jNFlyzL37kwiMMsgIxq3ZjPLNG0eLy7lZCAdHpRCmCmklIwCdpRBGM570oXHoMjmQhlbcjzIyfbAk+1BAYcTiYxtPAceIjfLzoGHUnxl57BUXwkFYnD5+i3eEVgaLznR2VGmTGkUKVwIs9+fi4WLF+Op7k/zviNCA71+mMZVQmj5XWpKCg7/tRN1HnxYs16bz/H3N4Hy/2rV/k9AO4saTab0MsnHZrBt1urB77lK2G8e5crlS5g3czp6DxiECpUqY82ny7B75x95/s4stP9f4Oh7Kv4s2YFsJiujCqrV6/vCb9Mp4suw0FCkpObG2O17cRVkQ+QQjYuOgsvlwouvv8PdRXwWsgCtvjQoc315ysojLWSKxJKTnXFfCT+86clkutDqf+/5vu+tXLx8GW/NmInnBz2HKpUrY+my5fjm2++wc+cudHz8cV4tBWSrih0dbBvdw7VF0MJAb9mf8lnM8d7m+UK10vi/hm5l943X4W5Danz29atXULt5K3TqPxwer80Qx1OsbEU83KM/klNStNzaOmkaZyGf+NprmDRtBrLtToDAdkg4ateshqa1KmPJ7/vhjgqHOzoMsQWiMKVpbbx3/hQyQ+yICHcxsF0wxIWewYWRGeRh5Gfk4vs7KF0TPQX9L1Ve/htXxh1qzOJ2D37BLVxEOoaHF0O50FBEhLqYu3hwVDCcEW5MO3QM3WqUR93yxRnIdoQTyA7HlgOn8NtvvymuW/+97N5/GHdvXEZ8mAsFItwoGOlGkdhwNHlmBErWqIcLG+fAnnYFoZGhCGGx21EIjopFSHQ83NGFEF7zKdizU2DLugtk8AVOdxfnHjq5dT5vZgo8V/fBFl8ZCI6C5+YxZt12xFeCM64sHO5QOEPC4QiJgDM0As6QEFzfNh/hBQsjIjIMESFORAbT5sCNk/+i29AxjEGeuY2L+OxVyz9Bv759GYg1uonrIJuFktCWLQUjYbXOMZOgWcdqcwZyX7CtbtQXej3zDGbNfBcff7gYa1atxIhhQxgJpQ7aPT4gXgfYRld1fdO/N/+WAM+CeXOxcsVnbL3VU4apIEuSpulu5LrbuB5nzYBxTg7Co2JZjHxwaBgiY2Jx++olXDpx2ACyzQRmZoBH5yTduo4Zw3ohIjoGsfHxjKNCdYtW47KlAK9akW+nZbK5434Vchln6d7UthWKDMkwT6O+V88e+OjDxZgzezZenTgRaSkpPu7P1szZViRgehqrq5cv4f2Z09F34GBUrFQFaz5bhr92/aGThKngVaYlUmOhDRZv3WpscNdXgLXODJ43oZ3qtm8FwtV3paan84m/NrnKZ2dlYfmyT5jiomiRwvjqyy/QvFkznxAMc3iGT+YTjXBVXQD58datWmPrzz+Ltd4irZdBAjG6j1sBcVmys7NY/yeL3rzJ4xUZxQ/xmiEO3H/Z99tWHP2HE0+pxZ91ncrxG8lsfbxfZffZ28xSrsXCytVfUeqbK6eDbsU7Qkn/xbkBdNZ7nY1cupDbNdfwnLs3sHvdYtR9rAeKl6uIk9u/wu2T+zWLtgrIpes5dyEXVnIlFlwylxPgdoeEIK58TTjdTlToNhZV+01DyYd6I7xQcSS07Iro4mXgDnYiWNwnnJFskiWd7+l+h3/djGCXi7m+a/nkxXxJ4+vrr75C58c6aB5JEmx7CWhnZWLX3n+RlJyCB6uW5i7jDGjrbuPE+k1Ae9af/+KZEsURmk0eP9z6nJnFPfjIMk0AO5MMEh4vfvPcRgNE++1XheDGZWRwA43BqCH1tF54c7yIcDhwJy0d3hwP3zx6aGtMeCjuJKdonZfISb1iIwt5bGwsXC43/vzzLxQuWkyT8zjY1kmdVTdw1UItv6e1ZcDr7+pGIwuQ7jG5mss0yfRv/5W7jMvn/wnQJjcrgyItD8t2bq7iPmDb6iRTefuNVxESFooXXhqHUyeOsxza0998LeD65yXE/78sqldkvizZ/9Hi6K/Q4p1NAqO5lmZE73Ncd8uKCAvFj6sWY9msydj8y+/4dvNWwwJnywfY9se4baq1vjeQtnE3U0/2/XON8qbcUTQc/4dgWzzX+NfeYMqQieNfwbFjJ7Dm87UYNuIFTJw4kcerKkobFUCrE4/R4m1NmCaPmZVA/614/dhu8/6VBrKFltPgUmRK8bBr2xZcPHMKDR561GDtVsF4lQbN8MsPX+P3nzZrObU5yOb7mAKF0L79w1iwfBW8zIU8HLawSAzv2QV/nr6IPdduwR0dDndMKEoVj8OEBjUw4+xJ5ATbEBVGVm0H4t0OdAyOx5OOQoiGA+eQjpPgSiw9PRU9v97qBvIYEjxJKEMO/kIivvdcRxNXJPqGF0ZBtxPRwUGIEO7irkgX5pw8iUYlC+PhmuUYaRttFJ99MzMbs9ZtxMTne8ObQiR+96fEFS+JwjHRWPLqMIQhHQUjg9kWF+lGTFQwaj01HJd/XY2cxLMcaEdFMzfy4Mh45iFAYDus4kNwxZVmQJtcyrMv7oI3K429W8lSrvYD9XPO5b8Au4MxkVPsd861A/BmJiMothSCnMEICg7j1uzQCLhCI5F0cCMiEqogPDaWEdhFhjoRGeLEzeN7UbtxC5QqVUpz73OTC0FOFn79ZRvakrVYACcZZy3BttdgxSaBiINuDrIFIPcGCraNc6lukZOKTBUs6NZSLQ5bi71W470VyzU7V7e0SmBuBNhK/bw5TNAkYD9t6hRcvnxRcx83WjVVt2DdQmNg0rXZEB4RgSlL1+KFqXNwYOcvrM1IeP5lw2rMGt4bGUmJuH35PBMezW6ktJ0/+i++XPguPhg3FHHxBfHK+0vRpvPTjJFcdSW3iss2MJTbedMkp5vXuXsvujVbb1czyJPrY+GCBfDJko/QollTdH3ySezYvj1gcO1jzRaAe9rrryI0NBQvvjwOp08cw9fr1+LtN1/TwKkVeV5uoFpPm6ZatVXgLFmj/VuyjfeysJobwL76ztTn059RdZn/+eef0KnT40xA3rDhK3R7qqtgD/cHrtVUeppPlyJ4mcE2n2yof1asWBEnTpzI1ZxtxTau/8C3hIVHYO6KLzHh3fnYvWMrfv9po+EX0mrPrNoGotDcV812Pfrjp8+XG46ZLe7mQhbOc3fuXzrUjYe4NdsIZPzJENJDQSiOTAo1I0Ga+GxBkCbjn8kl/Jdls+AKDkWbviOQdvUcju34Ab99OhthimVZxkrLvWQzZ1ZyDWRzl3KXixOlsXzdriDmEs7ybbuMG4vHFpZsCa452BZWbacDd69dQpdnnxfKXD13Nj3r8cOHkFCiOCJCg4VSl+KzyXWcW7SJc+j1j9ZgSu/HOKM3uYxTXHN6JrLTaCOQnY4/z1xGdlYO6oZGMMIycu1mbt5ZOQzUynhrAtkXPBmIghNhjPLTytwHRMKBW94s/i6lJ6HCj8Pec44HJcNCcep2kgDZfOPrjpe9v7QMMlCZSZbtLAXjxm+/Ro8ePXDjxnV8/913Rku2APjGtFy+ebWzMjOx4LUXER1f2IdATSc+U/ulbx+lfOIn/kPau8B9rU2FKkgWbTbghYaBiYZiMmGeAHy86O9Hm2m4YC9FSVmY/KQc1/fc0qPOBQcP7MeG9Wvx1qy5iIyMQnh4BJq1bIVKVaoGLP3Le/z/tdwriPFpPxHCKL/L/ZfW5fiJEyhVqqTR8ixraRAEVRdHoxWG3mJkWAi6tG+F1k0bYsKMuejQqhljZTTeW9Q+rxfk40rB/1Yt13IzAHPxu5zsLEaI9F8LpUjypidZ1p9cANm9hWvMfSnawOLX23fgX6xZu47lvo2KikJEZBQqVqzAPAfq1K6tJ4gSiMQIthUXccvvlUdSH+++gew8HtOiQ5urolrq+SSsx+XILSMjHRs+WYCx73+ikWTISVa7DZ0LoOkjnfHO8D6o3bApXDFRyLRTTKwdQR5uvej9bH8892w/NKhTE/Url4Xdmw17djYWjhuKbuOn4+1uD6FkdCSb0at5bRgHG6bt2ofRJcsg0hHMNfIZOajrikLptFAszDiP7d6buIA0lLOHspioMJuDDVodXPM+lGrz4CzScMKTxrSkDZyR6OIuwFzgaAt3ByGEUnhFuhEU7sKsEydRoXAcejaqCmckpSHjlmxSEgx7ZwlmvTIMIVEx8KQnwx4R95/fGbVpTk4OiheKQ8/nhmLxhKF4YdYSOMJdmtXTEVQE4cPfRnJKBvavfR+xNdshNKI4Mp0OOFx2ZDkdyHY6kOVyIqh0I2QXq43su5dgc4Qi68JulhfbFlEEQQUqw5t8FTZbEGzuCLZ459w4xsjXyGUct0/yFF6U2iu8ILdiu0MZ8ZkrNByu0FA4nTbEV26M2NIVEB7qYi7jBLJdnjR8++k8NJ67XAfZQrhb99kKRohEz8MZu42x2OQSp/1t6F9BwkIVJEek3r3pZXrFWkph6lKZyFyhqV15PlEuXtD3xMRKc6siJZvdXb3+5mTdXZZ7HZmtdrLGZG1V1IUe8p6gn9JRDyLDw5glfezoF7Fi1WoBwrzse2obL7Fpk4BMt6R5kOZh+j2rKq8/mxa9QEREBJq2exSb1zXH6rlvY8a6Leg/bgqysjJZ6rWtX6zA6cMHkFChMgvxWDHzTdZIDz8zkCnb67dshzKVqjKBm96rlutYs2abALYS36tbBflvKDaV+sD9GAueDAlUOOkht7+SWlDrFUIkkrwiNrRv1xZNmzRh3jNffvUV3nzjDTans3Zj0wCdK5SjYmlhbWtSih7Yvx9frvscM+bMRTStCxERaNGqFSpX4WRofDbzX8wgTFtxrMgptePKUwUgcxjmeH/f+RhujPemcujQQUyZPBlly5Zl+a8jw8OVfi4XN0VRpQBp/5WTC521UFulShUcO3YU5cqXZ6f64myjhKu1kemeNguw3fLhx1C36QP4aOZUNGj5EEtBKJdAeS/fdpFV5PfVbmOzISa+IJ57cxbOHT2IEhWqcOW7pkjQxXNze5y9nYbSsfnL4mNVKAzrzzO3tT7L29XYBga/AC1UQtlEOINU/shMC2xUKccN1xQKmUvHD2H/z9/iiTFTERMdjajICFSq3wyFylRkINtrRaDKso/YmSXTSfscj+B8oWMqu7XHQKYl7073567uXBFAYF26pRPQps1tz8HWFR+i26AX+GfpNq4oEufPnYOXXhzJlXTCM4rSY7G/s7KweuN2PFyvKmKCnfCkpXDSsYwsZLN9JrLTifU7G8sOn8KYsmWRQ2RlmTnIzpLZViRhrE4glunNYaFt0s/OZAJl/5McUtIWonmbGbwrlIF9PT0DhcJCtBfKzrfbWVjYjoPH0LRmZcqXxpTjXrGnz2TVDg4JxYkTJ9HigZaY8sYktHyoPU/3JQG3APi+rt86sdne37cjoUIV3YtC8eDkoZL6MTWswVyO30hBpYIR/7dAmzqdbHDtP1UyNw8mP4DbbJnwAdvaZ92tksp770xDqdJl8MTTz7DPlMdu8Asv5k/6DxiA/v+l5PVw+X8K+gW5kv3z12489/xQBDkdIqedPnAuXbyIIkWKMLDBBEjWcEZtsCrEqVp6fp5R+KN7Th79PJp06YvPv92Mpx9/WKw+9/oWDLpZn++8FqplJphQrAjV5z8CYK+0WljdXwXb/6mYFAbabEbpvN5G2TJl0KsnjQV+n9Onz+DDjz5UdfO8OhaWbYMFW/3euFzf95KbDl4q7XxvLyYExZJpmDjNbkBif+XCeXTo9RzTaOsxPPw7VaA88s9ultu325CxSElNYQuydI3kRDs01zjw3pz30adXL3y2YDYKRYUx99eIAoXw8avD0GfSHMzt8xgKx0ay+la32zDZ6cBrv/+DLoWLoFZMGJxpWQhOy0aow47eziKYmXQOZZ0hrC5/exJx10spvpS2ES6KkQhCmaAQ9A4uhCiHQ08RQi5owQ4EhzgQHOZCerAdkw8eQufKpfF43UqMEd0VSYAzHPawCLy9/ic89mATVK9aBV5XMLxEqHIfxgIpX0PI6usNQqOGDVFm4TKcOX8BF8+dR4kajYQbMQetVPdqHfpg79o5iKneGqElaiPTaYPD5UCW2wVHRgiygomlNAOe8CjkZGXCFfkIcjIpL2gSW5CzMhM5mZjTze7vuXuWAWtn8doICnKxxZznyXZykM2AdghcoSHwJJ3H9X83osrTExg7fESobs0+sf0HdB08GnFR4RxoCxI0Em6IMfrrL9YbLcaa27gA2TS3sDVS78C60KIrmvX/6RtBxMVQEAFsAdT1VOMcbIu5Rusf2i1UVxUVWJgAtjxmBuVKX6Py+5//YNc/ezF8YD9GHMet51Bcy22oVKE8HnzgAXy8eDH6PzeIzU9EuubVxovyt7BiMnDIALcQ4TxiC7Kj9wvjMObpR7Br8zdo9khnlnaN5qAnBgw3zGMvzeW8Apporll1dYCt5U42xXBbWoQVQTEl4z6tC5lprH/wTB1yUvOYwLYKTRn3OGvniPAwzHlvFrb/sgPdunXDyJEj0bZdO23ulwoQFVjr3h68c814aypKlymL7j16sWchYX/4yNF6l8llarcK59N4I1RAbQGuDSvxfQLbKrhWj1+5fBlTp5JCJgvTp7+DhBIJvsomTTMse5wKsnNpBAaw+fd/7NyJXbv/xrAhz8MhlPOlS5fGwYOHlJp6c5VMAi4Mh9gx8MXxGPxEO2z/YQMefLSLBqC5QojLFDyeXBqiRK+Qiye3gIlHsTEX3P2/b8Wh3b+hfc/nfGRqTYxXHuN8InkRcUb8/1L+OX+HWQUpPaPF41qmRNPCIEyb5vWgjnXluNpH5bW3LJuLAsVLotmjTzJCMxqDj/Qdwu6vKt11oM1BNikIsmnPUoBysG1IHyWAN8kUXMzljSfrJlnSydVdY0J3cqU4Wba/mv066jRtydaYECU0SfPWOXOaWYArli0NW3a6SOtFlmwC2bQ2pmPZ99uwfsIARjAmGb052KYYbfo7Gweu3EQBlxtRCEImMX9ne5BD8dQaWZgCMoUqOMcHvPFyBem4hky2f8RegM+z6ibfCwtrs+FaRgYKh4eKPONBsDtoc7CUnpv+PoT3xg4GgpzwBhHAdrC9l/a2IKxb/yUefewxxo/TttUD+OqL9Xjsia5atiUt3bF08zZ4NfJj2TnZaPxwZ51/SGZnMsjACqG0Ej6plhM3k+95LNyz63hWTo5PfIjmzqPqpizP0TVYGkGEHw2q8TP/Y9+ev7Fl4/cYMfYVjQBNnTPVBdmqGL7PJ44gUpFXRg7H8aNH8L8sFFu1aM67uHnjujhizHdsteW38Ha14d1pU/DbL9uxf+8/Ju01b/Hly5fjsUc7GN261U1DOwqpjtj7xkXx8xrUqMys2W/OWczikv4znvMhPvO1aht8uGSr3ofYVG9aHqzNlu5n+Sg+MRf6M/y15x98+/1GTHjlJT4WbJTOaznatm2LggULGX7rk65LTFCyjmawrcgnfsfC+Bf/w1gIILaMvrty6RLmvTcDN6/LsWC2xpsnWD2PttQ0nz1xFHVatBEu5kpKB5OL0LoFM3Hgz9+YYLLt+69YSAoxanKSEA8yyY0cdoTHxOOtt99G/5FjcTfLC4REwBYWhaIlS2Px+KEYvuwbXMrOQXBcJELiI1C+dEEsergJ9qclYcG1c0CoHfERLhQOdaJBRCRqucLxZ04i2gRHo3doYQwOLY7nQopioNieDy2OYWHF8Gx4EbQNjUFxtwtxbgdiQxyIDnEyt/TwSBdCo4NxwpuO8fv/xcjG1dGpbkW4o0IZIzpZtB3hEfj67yO4nJiMvl07MQZ1OEPgpYWOcnL+x5KSnIQwhx3hLjsi3EEoHBuF8qVKsrQlO7/4BPHhLhSIdCMuws1YyQsnFEPT56eieO0muPbHCiQf3YrgsGCEshRgcQiJLoDg6AJwk1t5ZBxc4dFwRcTCFV0YzrAYhJRuhuAyzeGKI7dwN7wp1+Eu0xKukEgtFtsVGsV/xzb6OwoOuwc3d65C2Y4jEBrqZNZsAtq03Tp5AI1at0Odho05WY4iBH2+4lNGSkMu5HYlTdbJ02cxaMI0HDx+kluyNWIxj7JJ93HuYs4t30p+bc3FWHXZVtxd4cXFixfxzsz3cO3aVd94UxnTrf5GIznT46595mTpnq6lNOKzw+vT38PWHX9gz74Dht9o9SRrPrwYPHgQNm/ehJvXr5lSLqls1sKdWE0LZo6/tttQuVYd1G/5ED5fMIvHg5vyacscy9pmcQ0trZQFO7ZMB6YSaulyC1/zaI6gXLL/tXgzyNXQxGwtlNQGBYjpfanv/IEWzfHFurXYtm0bBg8ezAj4dKIzKUNJYKILunv37MGmH77DmFfGMYZz/hs9htsgi1m4dsvrqUDG0g1cyHCacA3gzOlTGDV8KI4ePazksfa/aWAKpk0BWjaLen380Ydo374dunTpgsWLF6GkBNkakDYqm8zx10avD4tNWRTfmPwWtm3bjj3/7NXeb9GiRXHp0iX2t26L1eWme4Gm6nWq1KqDxg+2xfK5MxiRlOZ+bg7RNL1LWPQNLjbY0LHfUNy8fAG3r17Wb2g2VSgVz8j24GrSf09799sJSunlR5AwWUT10AepKFO4A3xYyDmI1ZjIJRu5kv7r8rED+PfXLXi0/0iEUepGAXYlAZoEveQNxly6Ka2jcPHmsdQEjLmrt3pcxlmHmo6FBztZSkji+vAmXsFfn0xD1vVznPdDeEyFkULZk4GKNWqjRbtH+BqjKXTJog1m1Z7xzjS8OHKkwgWSpcdmZ2fim+070bp2Jdy8lYgZ63/E1Rt3NHZvDrL5tv74eXQtWgQ5mTl8Y9ZsD+euEZ58PPaZbyEIwjmk4QZ8ZQLilNmHRITDgTBbkA+XhHxv9A4zvB4GcMlrlRSpbKO/HUFIysxCcloG4uPjiHIfsBPYpj0H3JTR6pPly9GzT1/UrlsXbdq1ZwbWrKxsC2Ct5sHWLdspyckIDg1HRFy8pkyxBNcqrNGAu3FLzfTgwp17S7t370BbxGf7B9MmAohcwXR+wDYwd+Z0lClXHh27dPWpVz4N2tofuf5Ombt/+HoDEm/fxob1nxu/u89l9bKPcXDfP1i/0hhXYy7q5C4/m/e6O4cpPYj4e8z4CWja4gHUql2bL2Ta773YtfMPlu/z0Uce1oQrXdhS4gxF7J5u4eGfjeltjILgpBEDcPzMOaz5ZpNi7VZfhrlhfYGy8bPCWmg+T2kpAykaCbv/sbDc2Zaul1ZqkNwAt39AzTTNmgJBf24iQKtQvjyeeqorO3b27Dl8+dXXTCjza7VWqmmsoSUvvd+y6Rs+Fr754nNfS4ZJENAeKx/Sh7SQLF/6Efbt/QerP1tmmGv0e5ouamGp2PrVGuNh1YAn916g06AXUbleEyRUqo4GbR7F+6+/hNOnT/P8klkelv6C5ZnMAcpXrY4XR4/BM4NewK20HHiDw4HQKJQuX45Ztkd9thH/JqbCHReLkALRiCkch0ltGqF7tfL44Mp5zL55AWdDPYgqEIo+xUrgmicLR4IzEBsTjNgoN2KjghEb6WZbTKQL0ZFuRNEW5UZUtBuR0W5ERAcjPDYEobEhSAyxYeqJ4/jh+g3Mf6wFapcvwVjQnZERcESEIygsAjtPXcKqn3dhzviRsAWHwusMpkSr8DpcLL3Qfy2DnxuIq+dPw23zIDTIhjCnHfFR4Xhj1jxUqVYNttQ7cGelMsAtWcnjIoMRHx2GWl0GITwiBMn/boTbng6328MI0zhDOaUFo42YyqMQHBmtbe7IGLZlX9qNoLB4hJdvwpjM9S0SweERCA4PgzssFNnXDsHlDkLlXpMRGRfDQDazZIc6geSb+GnZ+4iNitBAthR+bl67go3ffYO+PZ8xpOOiue2L77fg9p1ErP7uJyNoNQBaPvaJDEYFV4a/pUu3AQToQPjDJcuwZ+9efPLpChM5mgrmJJCTrrO69drsXeTrZq5vk8aOQMumjVCnRlUjeFHAO60DBGpHDB+GDxcv1q3IBhClklYZ8yGr+Znl1nv4WFw6ewq/b9xgjOfOhX1cjfk25OG2Ys82AEeT+7gAiymUTeU/FgrH8PX4svL2sibokueFhgTj7WlT8Gy/vni6e3ds/ekn6aflFwjPmv42ypWvgCee7GoA4j6ygEnG0jdpMDGCNSsjiVkOpHRyt2/fxvrPP1cs4bn886cTN68h4jhlNXh3xgwsWbIElSpVwj97/haGZ7MVOwDltt+bG9eU1yaOwwMPtGChWLLFrl27hoIFC/oH1PlZ61R3fEUe7vfCS4xXhJS+RhDvG6st36s/RQzb7Hb0fulN2INs+HbpPG4EUNwStCorvz13j+BCLb+fupn786tKCmVs6rH+6rhV4rUFCzm3GhM5mozd1gH3xk/moWDxkoijd5WVgUWvDMYHYwZgz49f48RfO/DB2AFY+NJAZNy5jtvnT8CRnS5cuznwjqAtmLt60579LTb6OzLEIQC0gxGeRpHiW+wv/b0VOal3cfr3jYxck66Vk3wLSyY8j6TL5/Hwk09zok3amKeXrjDY9O3XKFakMGpUqcBjsllcNuXO5htlzln4xSYMat8UH27cgX9OXcSnO/ZqjN7kUUVjhdab1OxsRBOYVYaD2i8oeFPyJjhtQIEgF9rZCuAwkrAZ17AdN/AzrmMjrjKAXRnhaBsUx+rrtttEXDlvcxmz7nAHYcO1K+hUtgSC3E4EuV18c7lhd7vxwQ+/YeAT7WFzBRNbGbwOJ7wEtoUL+YyZs9F/wEC4gkOYxX30KxNw+tRJfP3FOt2oIgCzRlwmgbKYAY7u/Qvnjh8ygmgDqDa6judVyH38XorNew/Uyzk5HiSn8fRIJghhtIyx/0xESorV2fezbmHzd/6pEyfQsmFtvDNnPp7q0csSPOSnGOZC82RjcU5ychID2207dEBUVIzx2f3URWV5tv7et+6XLpzHuhXL8HTfAShQqLD56oaaaZjMVF8Nj8kF2aT9NghBmgVCt0QQiHrmmR74fNUKREVEaMDZkAfWnI5GgGmd0Me84IkHZRWx4+FnR+LWnUTs/Go5WwTkampw91YBNksBINP9yHPsynHxHXPXE8fousp36nkU30mskf/FPTDnipKGQ7WqGxZrBeCbnkf/nR6npz+7fB75nf75xKnTqFanARbOn4s+vXszDV7Xbk/jnXfeQZmyZTXXTDnBaBpLjfXTOOHIY7rWT4xKP2OSxsLGbzbgoUc6IDo6xo9izJRxwKRhN4BztbmU8XD+/DmsWPYJevcfyMaCIXeisEyTZpaIyzhDuMeYnivHg8lDevP4bIVlXE7Oek1VwZWzJd+5dpnlrSSBKiYqgrGCkrt3CFsYwQDlgT278dbUqfhk7rsoGOEG0pLgTUnEnSuXMHDqPLSpWhY96lZEdnIaspJSkZmUiqyUDJy9ehtrj5zE/ht3UCYsFHtv3WH1ml2xKmPsJGs7l7e5u5K0xpFAEeSw8QXN7cCpjDR8c+UKbmRlYlTD6qhSohCc4cFwhocw0jNHeDgcERE4djMJYxevxdrZbyI8rgBAigF3GLwONzwON+AIZoD0nsdCVgaO7t2NQS++grfffhsVq9ZAWg6QnuNFWrYXKVk5OHjwIGa/MR6P9R+BYtXqIyk9i+Uvpi0lIxup6dlIS8/G1ZOHcOz7pbC5w1Cs3RB4PMSpkA1PVjbb00ZWYy5IeJCVeBWXN7yKmEa9EVG+uRjbNu6mxlzHHSwsJvHARmTcPIcKXUYiNDyMpUCLDnchNtyNmDAXdq/7EC0efgyVK1ZkglEUWSlYbJ0dwwf0xStjx6BaxbIIysmAPTsDNtqyeA7Tdd//iMcfaIhoikcTjONqYfObmI9Y2rIgHo9mI5c5uVFsmt28lynO7Dh38TKWfLoSz/XviyKFaV0QA8oANOiQBQj3sa7Kv/lvVfJGbf41zLF2ZT4V9RJufh7Y8djjnbBy9Rq4Q0IFWz/03PXK3zL1XrZFvlMpNL387FO4e/s25qzdyMN8ZLiIaflTQYcGINU1TYnfNKeG0t3Ipeu4vh6SJaxkbPh/GAvpyL5+ztSGco63BzS/62uY/jklJRUTXnuN9fvJk6ewuGvzPH/i+AnUrV0T78//AM/06qPN6wblqja/GhvUSilqALoKSJffmZWsSclJDGx3eLQjYmN0Gck4GHKXswzHlS8uX7qEESNG4JFHHkGbNm3wydKleG7gQBQpUthv6AS/tuoqnpsy31xJX+U8f0d2fLpiBUJDw9Cpc2efnL6SIIqRQimxr3K9MpI2qSRO+roks2aM7tsVd+/cxrx1m0QeYdVqJ8aMtpYb/1b7he7Jxg/+sOIjXD5zEr3HTROEqcYeIZsrMjgIT1Yvhnstx68mof9nf/NxSO7DWhYCkepPxiQLF2sKLZIAms4zKM4k07iZuV5RuMkxnXT7Bm5cPIfJ/TqjQq16aNu1N5p36IycnGy4nS6DooiY6mle+3nDWuzeugnFylbAI32GIiUlGaFRcVr2ERm/raWREntVRpJzDl07Jz0FB3dsRs0WbREZweWH5dNeQpdnh6JC5coIcXBvKQa0HQJsO2xIvnMTg/r1wZefr2JA3J6ZCltmKpCZAm9qMrxpyVj97WZcvXoNQ9s1wplzl7Dkx53o26AKYh1BnGU8hefNzkzOxLgdf2NE6dIIprTblDs7PRvplNYrI4flzU6jNZp57OmEaLJvplIIk3And9rsDFhzJSlYfSnzCT0DU0wToRyFr0W6kBUchEnHjuCjh5uzlKfuGMrIEglXTCTu2p0YMHcVvpk/lXkCIjiCySMe8q5zuHH01Dm8MWUKPly6HGTSletJzycfx+3bt7Dmh21sfLDsMEzWozrT3+KzeE9rFsxEtUYPoGTVWuyzljtbCRNQSdHUsWJVYkOdeL5x6f8boJ2RmYUM6phWQvj/GGxPGvcSsyb/vu8w3O7gPO9r/dTmJUU7bLkA+DtP3sx8l/sBtAMpudXXuDDy59Vdr8yuWJLRU8+n6cnJRt9evfDii6PQoG4dAZwluDbnf83W0pZwMK7kY1WtJoYKcsHh+192ouPA0fjl8w/RpG6tvAG1SfBQv/MB2gZQbf2ZNurPRCJ2L8WTeBWexGu+zybfguFvRYBVhSrtNyoYVwUuEbtneu7Rr4zHmrXrcfzIQUYaMXf+AjidTjw3SFizrRZZsxbQdI5+zEyS5jselcey7I9WcXW6QKye4cfSbRAM1TReUmjRhRSZw5Gzg8vJVwfaN2/eZLG55F4shR5zjLash2oZoDFBmuOZI/thwMuvo1r1GsLNy84XSIq9cthw9MA/mDh+PBbNehtlCscysE1bTtJtvP3hShw+dRaTn2yNOGcQspNTtbyWtBBmp2fi8NVbWHLgOL47ewnVoiNROTwCpUJDEO90IdbhRITTyecRmw2J3mycTUvDmbRUnE5JRYXYKDxRtTSqFisIR4gbzrBgsYWwXNn2sHD8cfISpq36AcveegVFEkqxHOCUC9zrDGEgm1y2vt/8Exo1aoRixe5NqPLcuYKclDu4fjcNfYeNxksvv4S6DZsgw2NDugeaR8CNO3fx1ZqVqN/ucSRn5sDjCkNyRjbf0mnLQgoD3jm4fe0KbMHROPzp6+zds1juolUY0LY5Q3mqEI8XV7Z/jKSjO1C67yIeT6xZxbzIvHMRScd+ReEmXZFybh8K1noAoSEuhIY4GPlZXLgLceFuHN/xLdp0fBKxYW5EMktGECKEVXvjhvU4dewoJk14GbasNAau2ZaTycA2xcwx13vaC/dw5hquzHuUukQCbQLQEmzrQNvJPnOALYlhCGQHWc5bOhg2DhgOKnzdlXVrtilNmGZBNw0/db7R5mG7BvylIoDq7rEF4bNVq5GZlYOeffowMC2FUwayzQKOArjNKVloTP6+9UeMH9gDs1d/i8q164tH842c87W46i7M5rhtI2u28p1Z8Sx+WyImjAHueymUSsiTLK14vnO+9TxPEe2qVdXudy38ZcevmPbW25j/wXyUKVPWAJ7HjhmDtZ9/joNHjsIlZCSZskzKGhKMWRV1vjZ/Vtvb39xvnvf9lTzlLAvDB4HrefPmMUu2NXg2/Z0n0A6kAnKsGRUkk954Ax07Ps48Af8r0LZyf5UKYRoL4wb0wBwxFtSYYpltwwCqNbCtk336A9tnjx9GeFQMXCGhCCElq9Iu+nlAl2pFWIjSvZSlv53G0p1nAwLaTgdn3OYpu/g5klBMZRxXQ0XMKf6y0tOw/K1xDDyTPLTvj+1YvHk3gkNClPRwcp4wZkOS8gR57F6+cB6fvf8WUpKS0GP0JLhCwhASGcPGIs1nPOxMN1Bo3Ubz6uFzTWZKEnZ8tQJH/vwVz702HQmlyjBQzQF2ELcKi9Ak+jsIORjUrzcjQKtXowrs2ZmwZaUysI2MFHhSk5CReAePjnwTX04cCJcnEzmpaUKmSGd7AtqMbTwlA5kpGZi6cz8eiS+I0kFuZKVkMaCdkZ6DzIxsrgjP8SBdpvcyAW1J46hiBfIconfG5B8BtIkjhtzsg4mMNcKFGedOo1PFBDSrkMBSnrqjIxjIdkVHYdK6n/BQs4Zo0+oBICQSXlL4M6V/MHLsTnTr2RuTp76F4qVKC9DMx9KWHzdhYI+u+HTDJlSv20DJDGOU+aTBJTkpGTayltuDdKCtkN7J8WlwF88FaFMZ3KgU4sLyR6J8T6tIDgEqs9uPheYTBstVfuK2ld8q813S3btYu/IzPN27H9zBwXnU0ntv31q61Pq/QL61FP5KLh5MuW5Ku8tjWmyVHPAGkK2co7j5aVYA9lBevDx2LMtD2aBubUOKGN2qrVq3lfQ0JFwaUtvIeES5GVl52zetjwqlSmDu0tXGGEGDIGhsJ6WnGa0BKorTLARmlKefR1dOvJuEb7/99p5fmyev+Gy/Kcn86u+VAWTz+/luUhKWr1jJ3AmDg0Ow/8C/+GPnH3hu0CBxL1+3cXXhNCv0A3WdMVTdPM7x30C2oS+bmsjQcqqiSM2nytxE1RRD+gJMKW5mvNAP6SlJBiGbMUercrAC7CU5SpA7GCPeWYDVC+fgVmISUrNyGLFLapYHqdncWlu+ak3Mfv99DB49Dr/vPwIPaWjDomGPise45/vixV5dMHrVZoz9YjtOZgHuwoUQUqQgQosVRHjxQqhTrSze69wKpaIjUDwmEr3rVUGJInG4GxKEXZmp2JB4E9/dvY3v797C4ewMFCkYjd51K2Npl1aY9HBj1CqfgOC4KLhjo9hC5oiKQlBkFOzhkVi8ZTc+3Pgb1s9+HYWLlwBcXGvsDSJ3LVqEHPhp6y9Ytmw5omPvnXncc+cqbBmpKBARjNUfzcPs997Dth83wWXLQbDdy0jSyDpcMCYKzzz7HLLv3sSH44fg8LZvmaaY8m7Hh7vZ7wtEBaNQVDASShZHwZgQNB3yFur2Ho+i5avAlXUDN375GJe/fQtuTyIS/16DOwc2IrhACUREh+HG9gW49uN7SD/9Kzy3jiPl2DYUqt4U0QViUbpRG0RHBiMmwoWYcBezYkeFunDwx3VIunIekSEuhDmNcdnXL13A6hWf4pWxo4ULXzbfDPHNZu2TYFc192pxzOZvMjf0dLXI0WvM4mAgNfPLBZHbyLb4zjAADWoo02n65EF/d3q8I7779hsuvIpxrY01bS1S8+KaU4DpObabtmyDEqXLYsPyD4UQToKdXdsM7uPmnM0+7uNGV3K9TiaQbZJfUv+D+zjLQqF4CxgVzqoLv9HzwMcTQfxWS0UlPrdo3gwffbQYQ4cMxdmzZ7T73r17Fys++xR9+/VDcEiwghXFfKw8nxUQ9pG9zG/eNCf77vOCz/kvag+NjIxkIDvwBYr/zYGy/C5A4UoqOXStnWE9PnDgAKpVq5ZPGZD/1vqWujwtz6G+2qhFazYWvlz+obLu6UDR4L1h4aHhc31FLi9ZvjLu3rqBeS8Nwq0rlw1u5GpL/pc0X7+d4Aong5xqYhY3KsVkvXUiQ9Vd3Jzej4NvYhY/iKVvjkGI24meI8dj6Bvv4u/tP6J9156IDAvjwJZ5o/G5nVmThcKcxWyLjeb/iGAnypYpjQmzFuG1uUtZxp392zcyF/Mv5rwJV04G9mxci/P7dsKWlgh7ehKSL57GrVOHEGr3YP/mL7B62hhs/HAm0bGgUtUamPzRGpQvWw7hIkOIXGM0S3aQjSluRz4/CE898QTq1qjKXMUZCVpmOry0ZdA+A7NXfIV+bZvARaSSLHWkcBfX0kFKvShXbvStWAYfnj0Lu8OOIJeejow2l2yXIDtCxRZGm0Ns4u9wsUXQ5uQbexYiYg3hmzvMCVeYC5/fuIpysZFoXKooHKFuZgAICgmGPTgEp28n48y122jVtAFAoWsOF3cdD3LBYw/Cx8uWo3GTJkgoXUYoZqXSCWxdKFWmHD79aKGFR5SReZwUJGvmT2fEa/cNpwE4diP5f886zt0ZiZFTHNBou3XkSUd8KPzlJKVpFZVRrJzD+4hgVTSlAPv6y3VITU1Bz37981Vns7aJHdBYG/P4gXgW9bz7+dK0OgV4XR+xx+bvmA50VG2UFchWXcdJp7540UIUKVwITz3RRVilPZZ5XtW0NmpsNicDIsAt4gM1oUJfrChFCb0Duu+QZ7pgzDvzcP3GDRSIixMmBVpCdLIrvSeoUoIVaOXH9XhmfeXSga7+NxFaPfmkb6x/IIWlWMhMC0y4MGqeTN+JOlks5nzIqJ/583z+xZfMjXDggP5IS0/Hy6+Mw7Jly7hgYOhIJhW19LAwKJOMPS+vfijHt/mRcgPZ5itYgey87icMumKO4XOEXfQjcmvyKozGbMK1k5sdT1JEQPuZ4S/j4ymvYNjb80UdSFsrBTHx7Ir3DWMepoMesFjgEdMX4Oqlc1izaDYGjHoFOV630Gbb2b0KlSiNJcuWY9QLw9G6WRMM7PEkc1kmjWrt+vWxrno1HDp6HB+s/Q5nL19Ds0pl0LZaOZQrGgtvVhY8mZno36Iu3vj2F7zVpRVqBJeCh8VbCYZiaZ1hi6eNsWnTohnkcsDucsIe7EaQ2w17cDCCQkJx4W4qXlu8EjUrlsWn0yfCFhzGyM8oLpsBbXIZD3Lh1z/+xAcLF+KjTz5l2uB7KUwIuHsdNlo4vV5EuEOxcuEc9BsxFtdvXEfXp5/RyJjkXFOjalXMXLoG36xfjXBbNv7d9RMqN27DSGfSMh2MkCotMwcZlOczy4PMcBeysmOQlV0cJSrXYB4MlFol/WIxXPZ6UbnLCITFhKFS5yEIcgXzzW5DyTqNmVXE5QhiMWRuEnIE6Q2LuXPZkZF4A88MG6MIQVz4cNg8GD92FGa88zZcdi+3YFNaFendo5GHiR4lBEVugaR1UgG+FtK1ZuVm1kth0dR6vWlUaNehOVXXkRvP+o+rk6ZsMs+zQjnpg850EBkeFoaYmBhcuHAeRYoV52mIlPWFWQq0+UywJMuxamCKJYVZEJ7sPQDvT30VyXduISY23hBf5wv69bnEyEbM34uRkVy3ZGmgxbBW8j8IaEeH5j/9o5f6BzGOi5RbOnu1QuksDnmt3qeN0p7Jz0THLnKisZ95eN/yAsWLFsWihR9g0KDBWLlyJaJjYrF+3VqkpKRgwMCBxjmW3Z67BxtaLh+4WGMdv0/Fqqf6u76UAMhVnpQJBLh9fmnOY6rKHGye1tdXo4XbfB3ZR8010xe523fusPSZDuZplIdRJo/n0/jm5dijjAMKizi5S3fu1R/zp72Gu7duIjI2TljIOHEfrYEe0b/oEuyY6Gs87EKmgeOf2WoiZQGbDaUrVUO/8W9h18avGBO3mY2cCsVp1yiSf6+/60kZOHYtibONK8oeXbco82TLEA9dKaDJpQbrtVSyGa3a5w7vx5bVS9DjhXEIDQ5GZNFi2LLuM2SkpaLTM/2Ya7aRo8E49mW9VE8Aad0mQEyg7qk+A/FE7wGMRCwtPQ2FChTE1bPHERUeykI5/tnxE5wuN8qXK49qNWujeet2iCtQgN2zVLHCQlnIrfku4RbPSdt4fLM3KxNDB/VH1y6d0eXRh2EngE1bVjqQlQZvRhqQkYZjJ09j9+HjGDWmDwPdJCMwOUFMoFq3JxmaPAgcdhSLCkWDArHYeOsG2sfQXCr1fjy7gj2LXMM9yKawGfIKkCSx1Me8RqJFchnXnsMpwLqbQjCdcIc4sCv1Li5mZeDNRlXgDHXBGcq97ByhJJeE4LUPv8S0Ec9yWYHxw3ClP3l0nTp7Ad9+9z1WrFmnW52l9xM9m82Gbv0G4t03JuD69euIiOFu/VreboU5/J9ff0aJcnkp5fJfjl9PQeOSsf9b1/Hs7GxkZmXl4t4thHjle7MVTf+suDNZWODYGcqxLh3aspiYZZ9/kcs1lXpYWOl8JjoFlPorVoA2t5JXXXysivksvsDGBK6V7w0ChJp3UBE61LjsrT9twepVq/Dx4oWwS8Izs5s47YWlWnMXNzHoaqy7otfzdCmyYkYAfONuMkq0fAIzx43A0F5dhbukEhMoXbZEjKOPG6UW96bHYxvdyNkTCyDLz6Fl7PCRo5j21lv4ZNlyhDHtf/7ECE/KHXhunvMDnJVntXI/U783PINeX6NlXnWJt6NV+w4ICwtlsXAvjn0JD7V5CO3atzfF65mBo9FaaxmvrY1d/67jPn3RAJitQbbB2cDfOcp11TprtTHFGJoZxqVbqnQX53E7ijtRjofF99y8dg2xRYrDFRJiEcumu+6pDykXfbKe/bn5a/z+w5d444NliAhxM1Cma6ZtcHizMfe9d3H65Am8N+U1RAU7RHwVaaP5YpmRkoTtu/fhux1/4vj5y4gOdaNumWIoFR+NXrNXYmr3Nhj4QF2mpfaQ3xTFIssVRPQLSgFjdwbBTin5nE7YKRWSw4lDl29h6ZaduJaYgteH9EaVyhVhI4BNabwctLgFw+OgjWKhzuLFMWOw7LNVCAkLY21YMDI032Mh58Z5eE7vZQunzR0C0OYKRZbdhYlvv4cc5mr5Jjx2JzK9xGZLhHJeRjJHgDoxORXrP1uCnVt/RI8XJyG6WClk24KYu3l6NoFtDwPcxIKbKTaWesXjxY9TBzJQ3eSF2ZqLrCyq9YOAtksAaALZ4W4HDm/9BhFhIWjVoZPuLs7issnaYMOCOTNRKD4Oz/Z8GkEMZIuN3MQ93LrN5j3hycPcxqWi0WDt9hrmMekuzvbC/drgLs7yiErXcUURZ5ozjApHZfSollQDOZqvFZV3cfEbg2JPvZcFD4bIdarW9YfNW3Ds+AkMHjqM52U1uYnr7uIyTEWPjdNiTsWx2zdv4uH6lTHy1Sno2megcT6zMsT7rHO+Kb/U9dBgyVZ+q55TMi48/+tCaiI8ty4aQVsu7y4/4UL6mqB//vufvVi4cBEWLV6MNg89hLDQUHzx1deaEtXHs8k031kVKyWqgeDWLH8EGg4UQLGW0XhZtHAhLl++jEmTJvGcyZZg2dd13Nd6IpVjZiWzvl4b66CMAdgwe84cJJQsiU6dOlv0Y/+u41au4uq6owM8Jf7aC9y6eQOdG1fD0PGT8Xiv/kqctpqWyRhexcPE9HVTvZ6VGzntv/54HirUaYDyNesb1n9SGPauk2DIUx1I+enwVbz+7SHNbZwUnqQ4UF3HyaJKcdl6bDaP05ZkZlrctnQvVz5fP3caP678EM9OeIuzdcvNbsPYno8jJDQUMz/5XAflwnvGQBpn6nSGMDvRXiy9lwb8YIjNZqmmlG6khWIq9zNb4HWSRzCQnZGagmHPDUC/vr3wSOsHEeQhd3EC2WncmJOewtLI5qQkofPYtzB70JMoHhUCT3oGPBnpyEmXObN5Dm1K8eVhubSJfZzn0k5PzcSIX//G0NKlkRDkRnZaNrLSs5FNebWzcpCVyVnIZU5t2YdVoE3Pw0A2gW16B8GcJ8YZ7EBQqAPf376OvxIT8W7L+giLCoErMhTuaIrNDoczKgo/HDqHvReu4/URA2ALjQJCIxlPjIdkBZsTTxDH0IyZBpdxxr0jrNb0+dqNG2hXtxJGTJyCx3v219zEtdRs4txt36xHlYbNWYYYDYzfB9dxaoOxLcvlayzk26ItcTnNO9LizA/IE+REpUvnmkVKfNbP1zWsUmNpuJdyKrlH7d75B+Ys/Ei/lVRc5qf+fu5zPzW1/or6nKY0h37PtzposHlYuISpv1XddHK1ZNuAwwf/xbx5c7Fm5Wd+QLYVGZrMH6sKmFzIZH8rLuBmMjDpPhkfGY72zRpgxYZNGPpMF15xNfUoexhdq68/IG9Ng9u4ZSvKcxRg7gUmTJiA92bPYWfRxEmLQH6Kl8CTz+1UEK3Xweg2bvG9pTXbiiDHhtNnz+H3P/7Ako8/xLfffw9HkEOAbJNApaaE8xN7fS95sg1PkY/sAWpfNJxjvqgyfQjFvLAW6gNG9dTgLSQtZnyR89r1RC/UgfjP7IiJicWJf/dh6TuvolWXHmjS/nEfoV+OU4Oyj6wG9LcdqN+2I2o1fRBnz57F8X/+RMduPZDj4VrvHOFuPHTUGOzZ9Tue7DsIj7Vvi/49nkRIiJtrcd1hLP1UmzbxaNOyOYvtvXPrDv4+eAR7j51C4bgoTNuwA1uPX0Kww4GisVEoGBXBSLZoC3E5mZBC2mpKgXEzOZVt/569jKS0DFQtWxL9n3wUNatVZoyejFmc3MWl9piAtt2Ji1euYcTIkVj00RIEh4XxOChGKudhoDQ/xZt4nVm19Xzy/B2SV9hbE8bisy++QZ/ePTF37jyER8dxfRd7V2RpAEs91mfQUGbFTM/KxuoP5+H4v/tQ64F2qNeuMyO3Y+nVsuWeBB8Pbl46j5vH96HNiKkoHB0sYhL1fqJaQ6QgRvFwRNry+/qlSLtzAx1HT+TgWmEZdwcBu377haWue3nUB7CT4EO5zTXuCRHzbB4YYp5hHlk0h/kAbSJCkzHaUjkoYp7V+Uld5cRioRns1IVRAxrm+c9nsrRejNlCLi2r8nQziDdZs+VzGq7NS/PmzVlKlueHDdMs2pTnl9qD9nbhSSYhjUfzLBFATuqSAMTHxzNXwU1frUX3fs/xGoucwZZKdNUl1aRYVgG0njM7d5BNe+pr7vyOBeblpJkMNe88baJjf+uKDf6nr0BgtGwrwpbm3sOvV7d2bdxNuot9e/fij99/x8cfL9Gt2IHWOV9P6PtbXbaR7/feTLzm7i2vIz2oBg0ejOXLlqF79+6YMWMGSpZM4G1s7u8GwdRPZ7ESqP30a/Wal69cZunW1n8hDD4BPqYqAfC/ed+Qz8jz88pW5Ofw2dSL2Lh4NHygNbZsWIfOvQdo30nLN1m0+diQa7qwdmstIzO0i9z2ah521r68Zm2f7od5Lw9Bl+dHo2Sl6tq8QNe+lZaJAmFu5KccuZKkyXlyzPlYrFWCQnMYiJpZQIJswSx+6cRhfPHBDAyY8BZCXA4OAAV4JxK0f//ehUnvLWDzuSFNoHp/7dUa37ce587J5xweu4jx1S3dqtJC7bQGd35xPzXNoATYPOwFOLD3b0ye9Bomjn8FzRrUhT2Hk2yCLNm0pkq38cwMLFr/A9rXr4oScZHcjdwjPN6kIl5Wgwv6zJOAUmnZnR64g52YUr8GXtm1DwNKJqBySDj3jnMQ2RpZvnPgEJZjBkCV/sHJ3XjojRZbTx5f7iA4gh24iWzMPnEMjYrEY3brhnBHhMBFhKwRoXCEhSIoNAzJXjsWfPcLNrz/BmyuEKaUB/OqczKOj8UfL8UjHR5FCQayuUOsTqCp831ERMeg0QOtsfHLtXikRz8DUR2dS4aU1fNnoN+EtxUlF5eGpWJLbyfduyXQsUzXu5qcgaKReYUv/wegTRNMw4YNGcmAoW968we4NZCuuDNpQoQ22+rT7lfr1iI0LAztHnlUOy7BfiBFBdOGqublRv5/ALb9nugHbOugWhcM/FkXjZZE/yCbchWPHTsWn36yFCEulx+QrVusObO4DrKlJYf9bcjbqlq0FeGNgJBk/gbQ45HW6PHSFBw/dRbly5SUMxZ/CjFIeGOJzeCKrraMibHcYqNFZfXqNWjatBmKlyjBrkguqKRpzVchV55cQbYCmi1fpmLxNpyrCtsmq4bNhjXr1iEsLAx16tTB6NFjsW79Ou3iBpAdgCXDaMX2U1S5Tn28AAG2/Gwg0rE4h9XH4taG+UAF26I/65BYCAVMJyPa0MvFDb5sULGjfvMHUaNRU5w+fBBnDu9n/aFUxeosl6TqsictBsrVORu414agkHBEhIQyt+gJQ/ph4qyFiAqjNBQ06duQYwdqNWiCNeu/xIYv1qFT7+fwUKuW6PxwW5RNKMpyYRJxFu3JKhoTGY82JUqhzUM5KFW2HHq+Mg0zXhqOYvHRuHT1Bq7cvI3bd5Nw524y7mZmsFyYHk8WS/1TJKEAasRG4/k+JRETHcVJtVjcE+3dgJNisd3K5mKx5gMGP4+Zs99HfMHC2qJGz0uW4/wCbc/tqxxoi7z0BmUMgJ5dOqB8mVKMHX/AgP7o0LEzc/eXLoCk1Xfn8Lg5AjfPj3oZiUlJOH/2DOzJN7H0zZfhdAejfe8hcIVFwE65zOML48DuH+EKDkXTNo8gKDjExxtBFXhIEEu9cxM7161A2SrV0a5LNxQqWIDHZJPLuCC5I6+Em1cuY/aMd7Bm1QoEGbIoyHzXasytOimLjYA099cUAhDNf0oGBAG2zRkRjB4v+vrkF2wb0Jot1wWH9Wxt8dMO6n9bzl0miKB81l1x9duEh4UiPS2NpU0ksjcdbPN3QedIt1fdo013eeXrog12IcB2eOIpvPz8syzFUcnSZQ2u5z56DpO3jL7umddB33XRCmRTIYVOfoE2s0Bp7aqAbY5YjIs/O08BgyaArINtRWqxKaoKcb3u3bph8uTJbF149LHHjB1AAfXa/UxxefnE5ZYyld4FdeOJ/yLek+kkrz8AroDt3n36oH79+nj99deZHPrCCy+gatUq+s+sdExWNVLb3vcH1uu5zcas6a+/8QYbz3m1mX41/T6qHKwqlLneiwNhCZQl6KZj7Tp1xaThA3DpzEkUK1WWK6jEu6S5RgIjCab5+qeHa8jR5jHUxQi4Q8PCMfStecjOysatq5cRW6gI/5UNuJmSf6DN3Ma1adEUV67ltldcxy15FfgaIUF2kM2L7es/Q6vO3fHS7I8RHOxix1l6KWHN3v7dlwgJDcNDjzzKFN8ywwDz3pQ8DYpXi+nN8/bSPAyoLqqXgepFoABtTflvzHygeYyaQDetJXPfm4mjhw7hs2VLEB8VwTNZmIC2BNlnzl/Axp3/YN2EgUBWpiDd5C7jmrebDK+TLvlBdngZOg5iwkx8RAjebVwL0/YcQrnQUHQrVBQ2AtqkjHAGsYxSzAVbuKDL7smAtghZY8zv7Hw77thy8PmV87iYnoGx9auiXKFYOEJdcLGMJ5T5hIB2GIJCQ/HGp99h/LPdEBIZDRuRNDIPO4rNduLqzdv47ocfmLzEPKFIjtIszySbQCc5y/Gidccn8eYLA3Hm5EkUTiitnXvt0gXMe3UU+r4yVfF0VGU5IzG3PvTyNwNeuZueL6CdL9dxikOYP28evvzqKzRt0gR9+vbVGGpVwd36sxjmJvdP/TzT9yZw0P7BFihVpgzmf/SJpsT3dX9RrmfSUlhNpZa4xwLa6sA2sOKvLj7n5PJqA6mjlWCQGwmVP3fxWzdvok/vXpg3ZzbKlSllwSquMo5LAG4kPNOYdhWLNvWXk+cv4ejZizh29iILOWhYvSIaVK2IsNAQg6t3emYmCj3YDZOG9MGYAc+I1DeccZenuOEpZXxcw6Xbol+3caOrOQlxySmp6PrUU/jyy6/gdLlYH6KJI8Qd+CLC0m+cP6jplXMD2UZ2YLP7oHRp9wXV/tKVNX3gQZQuXZrF4k2fMR3lypXXAKGPW5gfkK26yFiBb33E5jZ2AgPYslf69lU/bWu6qTpfaDVTmHNV9lWPyU1VTfXFXYz4ZC0Xyls3rmPh5FfQuH1H1G/dweAWpqZdUYewXJxpsSS3t+QbVxDscuL8kQNo1fZhnVGUWUa5gGD35mD7z1vw/Xff4ezp06hRrQrq16mFBnVqonjhgpzsSAC59JQUFKrRFJNGDcbogb1F7nqpYFLz8CoDXO07WmooB7yCzZoRn9He4cavO3dj8pSpeO2Nyaheu46PS2+Y24mCEYEvIjTOdy14HbXLlWDgnrTVdjdZ0YOZyzpzI6e0Hc5gpOfY8Nac+Th6/BTGT5yIshUrKwsoB/ucOV5hkScLdo4Hd5NTkJmdg3/3/ImdP2/C7ZvXcf3iedy9cwu1mrdB5YYtkFCxGo7+vRPOkGCUqlIbNy6cwdlD+3D9wln0GTcVS94cg5Ydn0Sths0Y4yu9I56uTQfZnsx05ir+7ox3ULlsKdjJRZxIaXKEYsQwP0rPH+HFI5nGFU8e7bMyR1F8ve4yLlN46fOY6hpstizzecA0n/j8rYwebUEyk6fpruP6gLRZz2GmDA9aHbVNPIM9CC+9Mg59+vZD2QoVDSzjZtdZ1e3S31xFoL1Z1TIYMmYc+j4/Qp8fFJmBzzNGYdnKayY/IFtejXLlxoYF529duHBIUYDo7WjMlqG8L+nFYPYk8LsW8PGuXi8zM4tZgtq2bYtly5fnOc9bKl39zfPmdlJPsDo/kKK0cS6nGOQuq88nTpzA3LlzcebMGbYmNm3aFA3q10fJkiVFnzCZsPQ3FZiVRht7/O+NmzZjy5YtmD5jhk8bW7mO+zCRi2wZVumE1PehhkTJv9PTUtG+dgU8O/IlPD1wmHa+Ic2XiYlcZx3X036ZQaK2rirjMS01BbNfHICeL01G4ZJl2Lnl48PQrFTgZJl0zw7zf0VqpoeBNOY2Lqyhumu4yL3MYpX5Meka7jIdp3Oz05Lx6dSXUbtZKzz0xNPcuq3FOusW7z6PtmJkWrMWLtEArkqCqhqbVO84pXdo7aG+P59xpAoGam56TeY23pcwL81pa1etYGF/PXs+g2eeehJ2pnCX6SIpi0UGM+TIUDNPegqefPkdTOvXCWULRAnwnclcxMlV3EP7rGy292TlsDSYHpYOM0fb52RmI4c+Z5K7eDY+P3EOv1y+jh7Fi6NGaDg8WV6eezuH79UxYCMZhm12eBw27Eu+iy03biDV60HviqVQrwRlPHHxrCcUkx0eAgfLfBKGoPAIrP3rEP45cwWzXhkGe3g0vCERjGXc4wpnPDGDhr2A3v36o2a9+kp6Lj1zhZ6+S7CJp6TiyYaV8fTQMejY93kWFvj75m9Ro9mDSE/PQFhktE9GCx1wm93F9XMCcR2nUqtoFDpULvS/A9qZ6WmsYjt27MCSpZSX1oP+/Z9FixYPaKubekVVeJcaNd/Oyj+YAbh86KtXrqJ25XKYs+BDdH6qu3I9o9ZFBbjymmodfB7+fwS01bpY3V8dnH50qdpNzfc0LHyGv33zFet/6+yq5okmKTGRgeypk99EzWpVjEDaEmQbgTYjfslWQLawaO85dByTP16D4gXiUL1cAiqUKAKnw4k/Dh7F7oMn4HAE4fVBz6BCqeKa4NZp5BtIScvAlk/e02MXDTGLJjdLLc2MHtOtnafEbBuANmx4ddIkNGvaDG3attX6EbVRBIH/QN9vVgZyLh01aLq1FjcLVyaNuCpE6QKsKT7PIMTqac2uXLuO0uUqoHPnTmjfrj169u7N7prbom0NsgMH2j79z0KZ4++zFSmfUVgy9nB/xGxa/ZR6GvN+m3Jri72eW1sCNw64VUEmIyMTf+34GTWatWYVNachUmPn1DbgblTcKktAbO28t5klYfj4NxEe6mZgWyU7IbsYaeNpHB09fAj//L0bf//9N4s5JLtCfGwsSpdMQPFiRbBk+Upmjf921SeICA8Vlg+Zhom/Pc0Q6dPHlHEgQDcpo85dvIKp02cwz6BxE15DWGSUcM3SY9zpGUm4yU8O4azEG3i4ZTNMebYzalUow9zVbS7pJh/CY7YF07kkPzly8gxmzluElNQ0DB7yPGrXrc/yZeZ4+UZabW2RVeLutVymXuD61avo3qw6Rk59D1XqNWHrk4sY+Hf9xoTSmk0fQMrdRKQk3kbJcpURGx+vWRYkGQ1ZO4KlUsRB8fU5GDF4APr16Y1WzZvC7s0WQpAKsoUCkilAhPeORhrJMydoy6oGtJlZQHj1EJWuMrcpINWQhtA8XwQEtM2j1Qi0eb8xKQDMP7EC9Ypi0EqByedZ/gzvz5uPKlWqonnLB/UUfLnEZhvmKNM8ReX53k8hNSUFS9fp2SECUlCbwJw6B5lBtrqmqoCcxkLhqND8rQtXjpvehwloW75X81phVrrKttfXCxVoX7l6DaXLlsPHH3+M7k8/HQDQFsdl1wgEaIs/rOQg7VgeSlS/v7P4kXx3eQFu9gheL06fPo3ff/sNe/bsYWE9xGFRoUJ51KheAzVq1EDFihURROOOvw35S+vOZNYm2Gz4YeNGLFiwEKtWr2aZPoxrkwloWwA0M9DWFePW78kq7dfoZ3sgNTUZc1du0MaNmkvbb+y2UEzrZFHWObb12G7g1rXLWDlzMgZPm8eekzJDdKzCLdyBlAu3U9Fz6W5uCRXM4CrQ1oC0Q/+sH1MBNl9D71y9iNjYONy6eBYVqtXQrNc6wOZ/375xDQ/VqYR35i5G56e6CZdxXe6VRiZuXVflZWNfUOcj8gKQ7WKV+lR0EUMf5Z+5yz4pLn7f8Qu2bPkRp0+dwjNPd8cTnR9HsNMBZCu8H4z8jKzZGRrIJhK0TzZsxu07iRjxWAtm3aZ5xsMIVEU8NgFrtkmQreyJKC07BznsmNjoc5YH15JSsfr4WRy8nYiHCxVErcgoxJFHnKY84M97OSsTh1KSsS8xEVcyM1G3QCzalyqK0nFRCAp2wOF2MpDNwHYoEZ+FICiUwHYY1v99BD8fOI5Fr74AR0QMbGGUziucpRf1uMPww5Zt2LJ1G96c9g5zGae1nowjhvWfKdsV/h2PF68P7snIsV+Z+ykWT3mFKYQ69HmerUtmrgNJlKa9P3XcmdLqWRlGzaVwhBvPNiDP2/+B67iMuaVO1KJ5c7Ro0QKXL1/BR0uWYMb0Gej+dHd07/40ghzKZZUXxutv4cpkKsb51oZtP/3IFsQHWrX2+YmP15X4rJ7n8xv874tWF6bN0I/zelqvVrY8lQDKdwYtnIWWnh32JX9RQXby3bssPdRrEydwkJ2Lu7jOKi5BtkzjpbKMZ+NOYiLGvLcETkcQ5o/ujyJxMXrr22xoUr0Ce5cnL13Fqws/Q+lihTH+2acYY+3DTeth1LuLkJh4F1HRUdozsIb0cIZaxlausdLzF81cyy1Xf9WNnINs0oCfOnkSbxAxk7oIqe7t9xqf7a+YwbiPVKJaL+TUbBTEpFD145afWB0JVPTs2dOwNnjzueVVaencaQWuTU/g15KdK8i2aGsNeEsFiHojvTJ8jEu3OXET3dmen0yf1DS4fCzw+FlJjEGEv3C50PDBdnh/4ig8NewlRMYV1BiSmV5XwUz6IkuTOAfl2TYvHEFOdBv1Gs4c/AfXEu9i356jaNC4KdxBXs2ljerCc1DakVCxKkpVrIIuPXpzNz+vF7dv3sC5s2dw+dIlFCpSFN//8AOeG/sqMjMzNeBGIDEyIhJRUZGIioxgrqLB7mCEhATzcB7x5GlpGcz1+u7dJJw6fRrpGRkoWLAQ+g98DtVrkRWbL2gSZDOsKC0nIt4r0LFgS7yGT17ogWdmfYalY59F0UIFlC95v2VtL0AozReVShXD4llv4dzlq5i76GO8PW0aGjdpjMc7P4Ey5SsKwC3yZ0qCFo/doAT5Zdd2Vsd27R9GVGy8tliWTXhKV6ApfVCyTZNRWRLSSJdDAtlE8DJu9Ito37YtWrVoxi3ZkmFcgmoJUNXeblB2iB6oBRuLLABsCtKtwZr1Wpuf/LV1flYuORkEoBVmYye3hSYX8jU5r2qfxbou6kAZKyiOVQqyjEWZMgQoK7EeKyrnI0niKF1d9Sd/oHVbTJv4MlKS7iIiMiqP2UuZrSyawQi2/YFs/XWQpSRf6wK5e+Z6giWxDf9Er88M8LTfKX9Y1OXHH39k+wceeCCgespX4UcEs646U9Lw7A5W1ZNYxfA5jzoYzrMEvPKCpgXG51wbSpcugzJlyqBnr14ace/x48dxYP9+rFi5EkeOHGHHKSVXq1YPokmjxnC5TCGQ5graSMTJwdRpb+HatWtYs2YNSy1r9tz017bGdU+wi4v+Txdh4RTivbN4YAMPie4CzkaIzYamrdpg5uvjkJqUhLDICD3sQojV7G+L2G3OTs47tnRJl6NWcyWXa6o4N65gETw/bS6O/P0HKtRuiDtpWTzdZYAkUMeuJWsg2+wWbtx43my5SUIzCbwJPB/8/Sf8sn4FRrw9DxWr12AKUgm09T2f03f9wmWklq3bsM+qRVuSlNE7yEhPw959e/HX7t04cGA/EhMTBQjzsiwlpUqVQtmyZVGzdh1UqlwZQQ7BMC85XxTArRq6Em/fYjLm0aOHGW/CmdOn4XQ4WEq+4YMHoHyZMsyziLzcbJm0xmQCMpsFcxfnQFu6jV++ehVrf/4DX7w2mKfIFWTD5rhs3aONeEC8jMOFr0bUP7gLu3Qn92STu7gHRVwReCGyMlLSM/HDmUtYdukCrqdl+IzfImEhqBEXjYGlyiMhJhJ2lwNBLieC3BxkBzGg7UIQgW3KehIaAntICDb8fRQ/7j2Kjya9AEdYBFO4s3A2kc7rbko6Zr8/FyvWrDUo1/WYbMVQYiK2rdWsFT5++1XcuXMLD3TqjnK1GghZxio/vdnLw6hkVEcyx2e5z4o3UjLzNRbyZdHOykxHTlaW9pkEwfSMTHTp3JkJg8uWf4ovvvwSffr0QdeuXZlG0WyRykvDKh9ZPf5cv164cP48vvlxq9/zDYBD0ZLnq9xHi7ZVMdfT8nq5aYwtLIFmK7YqQKhCg5bHVAict2/d0kB2g3p1fNjEjdZrxYKjsOxKazbb52QzV+bu42ZgXO9OaFS1HFermgVFRQtPZECbdu3FvLU/YN30cbh6OxHlHx+I1TMm4on2LWEj91fm+ipdyKX1Okhh6JVui7pruc7Wq1i7ybIHG3r16oXXJr3OUonRwhwXr6c6iCBNXIBx2jm3L8F794b2Yr776RcGZp7o0M4ArANiGtfiNFWmWaO7uzz2TK8+2PLTTzhy+BCiYmLz7SJocHmyOC6P+fS/XBRD/kC2leBqBtm2gMaL9Ti3YnuVn1XSEgnOiDxLuiNL8KZO6Ef/3YctX6xG31emaCQc6jmSlEN1LZLjTY0hy0lPwZcLZiA7PQ3DXp2K6KhIzp6qEKKYvUsMWnabDRfPn0PjWlWx+JNP0bFTZ60NPTk5SLp7V2yJbMxlZKQjPS2dCZaynYMpxUlkFCKiIpGQUArBITx+WbX6SyvjX3/uQkKpMoiO42CVnq90XDhzpw6kZOz5EdnH/8LRK7fw6oqN6PdwM2R6gCdaNWGxWORKTlZuihW3MQIU4cZOmnPa2x2MlXzHrr+w/qtvcObceRaH2eGxjmzcWrFV07MMebYPLl48j7Xf/2SwNmhx9eapR3lfMoczKT8YA6wNeHXcS6hYriyeH9gPdjYXZhqs2CoRmuaGbdiEK7bmlm0aSGp8tjq+VeCtebNYzxdGN2Ple78ur2pj6H/rRG7mwa5c28eqrt9Pz5Dgmwnih02bcebsOQx47jnNgqeHYVi5YPqft6hcOH8OrepVx+wPl6H9Y50C6pNWeFVpMcMaqZ6/Z/culC5dFvEFCmjnF4wMCZizIOfOFXiTeN5gKt/9tI3JSE90aK8rJKwUGFq76soaH+VrHuvCLzt2YPefu1CwcJG821e8epWp2kqlcy+yT26W73t9X/r1fC3cVr/RPpvWHZojKf/1zz//jF9++YUBqV49e6J27dqWypTDhw9j8pQpeOihh9C3b19dMaQoX9leXYcMlmbVlVsR/v29Gz/hFPJ3l86fw2NNamLaB0vx4MMdfZjGra3bpvub5QLlmO5qDhzd+xcKJJTCvl9/xrnjR9B95ER0qFQI8WGBpbxbuOMU1v5zUQPZtw7+zsBkQoPWBrdwCajdTtrzvM5EWElgmv6m33zz4XvoPmwsQoPd7Dh9r8Zlq2zeo57rg8sXL2DDpq3aPC/3NJJ2/vYrPl2+jKWJq1+vHurVrYuaNaojNiaaYRZqcVpXaQ6jDAp7/tmLQ4cPM+MGKbMLFCyI6Oho1peys7KQkpqKG9evs+9pi42NYf2qYoUKqFOzBkqVTABJn9xQRSSaJnJhJj9zoO3VADa3aBPhWb8p8/BCp9aokVCQpQGltLIebS/dw3kebc2CLbKV8Pza5A5OfwtwLv4mWYJ9zvawc/lnSt9My5jIEiTDTVkcdxDfE7BmIFvZu10ICnbBEUxgOxhZQS5M/2o7rt5NwbxXhsAZEQmbO4y5ixMZrNcVAo8zBJOnv4dadeuh5UPtNJdx3XKt7EX4WKYA2XR819bNmPFCP/R/bQaaPvaUwU3cIAsqHoxWbuGBuIufPfgP4oqVRHi0ntarb70SKBxgiF3+LNoEskRMF1Vq0utvMlech9u1ZTT6lNO3V89nsHDRYjz99NOYO/d9ZkXRlOyq2dmHoIMfN1ixxODf+ftveLpnb30yVq8jhXDlkvq99CsFArnV+xqm3PsAsrVrBmJs8HNvf+A6txg0mS9UB9tgk0L/Z/sxd/HaNasbBUnNcmOcDHQiNAmyJREDP56VkYkBk+diZLdH0KgKgWyVMIiKNOvIjS8R7RrUZAPhxVkfYf4rz6Ns8SLY8fd+PNG2Bbw2mpRo5AhUQpYRzXqtCI65aaTFnk7buXMnChUqjNt3buOdt99ik+rqteu1xTM7JydgoM2I0MQLpd9OnD6HjYVHWj+AkJCQfDCNq3pv1dVQPSyEa68XP2/dytzgKGeqlfAUyJZba5mGjU9LGo7lArDlZ7UF/IHsXMeDbA+mrVc8FwS5kkcwGXuk5lZ81tpYMJHTnhZaSeLLLNmicrx7eVG+ag3cEJY46SljVTcmsDDArR1BDhGgeWzItnvhcoWi2+g3cOnEIWTAgTfHDEf1ug3QpFVbxBcoaCRmUQlT7PqxqELFkFCqNHbs+BWtHumoKMnsCI6IZoQihSyUaup71GvHU2QYc4Ry4Lp3z9+YN2s6s/R/8OkaTWFBOYQDBdo51y+yBb1ikXg0rJCAUR+sRmxkBB5uVAuhTFFGCrkgkV9a1FKkm2LWwiAPguwOtGxcHw80bYyklDQs/WwlOj32KBo1aoiOj3dCpSpVGUM59zIgjw5g987f0L1nb+air7uEGdPbGbqSMi+qHBVZ6WkYP+5l1K5ZAwP69WbKRiO4FvOQIWe2vxGlAlKTSlUCJcM8aJ4j7qFoVlLlOmwgq40g68DNZ6q3lTE3thFQ++5FvLYG+kzPYrPhzNmzzBqkXU5Uz26yZHpM8oDst3zTnXtLlEhgY+Hvnb/jkY6d8rWW+7SsZlk0TrP03/49f2PuzOlsXfhkFRFM8pIvFn6ySGld3IuJ77zPyIMead2SKbt8kL2hEsoxy8/W/YTu89tvvzHhn+aXey3K1GoQzXK3DFjUR4S1WL0n48xvceNcKsXrxNcAjandQl4yVcZwnLwta9WuzbbRo0fj33//ZTnIX33tNTRp0gSFCxdm+bHT0tLwww8/oESJEhg3bhyzgmvVy6MDmtdRybbPlxxppbb25ODrmFi3pKVbXJWOFiuRgOIlS2Pfn3+gTYfHdZCtiAosc4bBui3+FmOf5l3mCi3elSTVI6sn8zLxAicP7sWXH81h68LoOUvx9dL5uHruNG4mxAQMtE/cSGZu4jI/9rENi2APCkKpes3hDArV4rSZe7gGvNV4azv+3fEjy9Xca9QEJQxLfK9YsyXQpvl8987f0f2Z3tyDTLKMe734ZsMXWLZ0KVtTJr06AQnFi3MpTVOQZoOZVeFFuMuBahXKolrFciynNVd2AVlZ2bh6/TrLo+4ICmLAm+S9gvHxcDgcopspIV7EvZItsnFoPCwi1EiuLyIsiRmsCGST2zht2VnY+MffKBQdgRqlirDPjNzV7FXFpl2+tpLxyh4k5CHqF6JT0DsgUjQWex1EYJrqEsRBt8MDOwPgfD1m+bgZpQi/Hmcul0A7CEEuB+wCYNtdLga27QxouxEUHMzSi45bthL9O7bBG+0fZDwtFD5G4JpSi3oF0/il6zeZEmPUKxNEPDbfuHGEG0hk6i6dt4WHj9H+r20/okDREjhz9CAadTCmxjOHXpiVSOog9lHKm6aR80f2Y+un81lb9J22WDt+5W7G/wZoU1C9WpGRI4YhNS0NIcHBmktdsNuNkS+MQOtWrdCndx+MnzAezZu30B5IB8t+wLYAFPLYuXNncf3aNdSt30C/t3I+dyXWWcvNLI6G+95LsXI/u9drBXBt3/v4gmv5WVumTdp5q/QlMs3J+bNn8fzzgzFzxnRUo/y6PvHXiqaNgW7Vqq2AbJnii2nOsjFy5mI83rw+HqxdWcufrU0IJvcWHqfIj3vtXjzcqCb2HDmJj7/ahEbVK2Ln/sO6dYgkau4zrowG5boaE7m/BtRFLiJNmTnrPQQ5nXC7g9G2bTv9csJNMNDipfyGQvikO7z4XF+kpqdrIDt3Sc/6S90dUwHXipB+9sxZ3LlzB/2ffdZCxDf5kLO9MgDyKMILO8++rcrkuQFs+b0ms+cGsnMbBwZBSfxWKlsCANtS8caKcPORXrNM2CfhiwkX5GYHFCtVBgf//A2V6jXxWyeuOTW6INHTE9N4ls0m3JvsiC9dCSk5QLeRr+LAH9uYi1poWCi+/fRDFClREt2eewGpyYmIiYlj8cOMkVRLQWJDtTr18ffuP5GS5eHHLXMCc80zb2sjq7tVM6qxgbSgUb5Kl9uN5q3a6vGzXi9SMnMQF4aASvaNi9wt3JaDER2aYdX2v/H0g/UZgzjzgKF1w57FBQEFaOsCiQewCyBrz0FkiBMjnnsWQwc+i11/7cHqlStw6PARJvQ2aNQIDRs0hN3hYOtC44YNEeyQwqoOsvU3oxezGzmduH7Naqxc8SmGDB6Ejo+0h13jpxB7H4u1H2u1ZSdWALa2NyrXfJVx+S3yYVVNtjiudn65QBp9lBXrtS0PoK1YYw3KQWNaMionjh9n+Zx5ui7ZP/XQDsbGzlzJdbDNvlWVA6Ia3Pvehjr1G2Lv339qd81rStPnFd+2Vecc9W8iW6V1odVDbQ3nEwEfEQQG9DaIeV/rZza8OKgfUtPTjCDb552LvqANXqXdDXnNTROwKBSPfPXaNZZBg5S9gSgirNpD9dIxX8NKGM2tWMpcmqu42aQkvsxt4pIfDWKjUmH5vbiWLRcQr01BAKpWq4ap06Yxa96uXbtw69YtZqmMiIjAsmXL2D7QR9eGmBLWREVdo/i1REo9ZmzQATfPjyFdyY1s4LIf0Hxfq14DHNizm60TGsim9U+AaOYyrq1KRmZynkpPZ/nX76uDbbpT4YRSbF2o2bQVa7CO/Ybi5tXL+O6771Gx71MBtAZw6kYqcwuXLuIV2z8Db3YGQkI4yObgWk+7qLmMCwLRY39ux+7NGzDirXkayGZWbhVoi9hv6S126fwZ3Lh2DQ0aNGTXoHXz11+24f33ZqHVgw9i7epVzCrOONopNMjHO0nKlurkoI9Hlw0oUTAWJQrEGvugl9y+s3QFrFgjzF5PaviUzGIhs4/QnoNsitXOxOWr1zHn841YO/E5jWzTZ+2RIJvAsJYKUMhBtPdw7yOWCYjW/iCPBqZ1cE2Wbh1gs15HshW5nrNNWLIdQSxVGAPaTqcGsAls291u3MnMwYxVm3A1MQVLJo1E0aKFuau4izaZYjSYe7TZnXh7xky8OPYltgaoHoOSG4fl9CZZSuHWoe3MiWM4fewQ+k18GwteHYkT+/co3m6+ruOGNGwWg9liJddkWirxxUvB4XajUsOWBq+XK8kZCLQEDLSZBsT0gimgX6uqFojGZ4rq1api3drPMW7CRCxZshQvvvgiqlWvrj+ZP7CtPSr/QIImFQLaGsBWTxHX0bJzqpdUs5fcS8kNANwHK7cRclh8bwGujZ9N7rlKvVKSkxEeHsa08zJn4JXLlzDk+cFYvGgBShYv5pMfm//tMe0l2CbNm7RsS8DNj6/7cQeKxsXgqQcbsu/4gDVOOLr0pAsUzLgjLIPjendGu5GT0fWh5lizeQdSUlIRFh6uW7W1PNqK+dZnNZV/K0KsuN++fftYPCu5/VD1Plu1yscSTMR+gXt2qLFyNvTq+rgiICnCke8L9xWqNGuQsf4mOIqt27axfavWrfNtxc5NUNKGUoAdOhCAbf7MT1XOlY9ubhqLmxmGvbTAKQNbBddmsE3vITnlLtwhYWzRZbklab5gmmGu5WeafNJ+e4Ho+Hh8vmg2KtVv4lsXoTyi38lYICnosDeeI6yldhtzf3IyS60NDmcIqrZ8RAPRQ6o3wK3L55HlCsHePT/jwB+/IK5gITw75jU9pYnNhoo162HT11/g1t1khIWGse/ombh122sA3FyRxuP4zO2vVV/8x8EoX3wiImMw+6PPOPAWY5EWqDSiAA+gEBuqJy2VAV/SfFMs2rTej+LA+avC60WCbW7RlpVS1jFu1WbtSuy0OSwshFzGHfYgNGlQB00a1mfu1ucuXsbOP3fj448+xNZtW9lvq1SqwIjMVFdI7VmtepXXi2NHj+Cnn7bgx02b0L59e3z9xTrGQE5znQFkq/OjIogZhSn9bj6dVnsJVgDKwhqcZ8ntHAGefU6R8xRfGJOSUljGB+4iaa6vqa5i7/UHvlUCL+XYhYsXUTJBEsXoo1fmDZbjU1qxfZVpvhryOvUb4Nsv1zHGXvKeMygW7zEEzLyPjo7F4mUrfV4FjYt8rQvKvWldsMw64VMxQ+WVL8zrgm832Pknl5HIov1fihlg36vY5O/3uacytXqfFv1ZFRdVZYz5JA1gG9tMnk8lieKciRU5iKyAQcyinecz5dEoxlept6jkKuCefLKWHCgT4OYWSO5poqYgkrON5EuhzwS0N25Yj8z0VASHcKJMZsXW8m5rToPW1m0G/GVKMH51M9gOj4rG6Fkf6WDFZkNcoSLYt38nAimJaVlIz/EIAjS+lWvxqBJ/zcE0A9v0t4zHFluQ14PYAoUwbOr7CAl26SBbIUdjObM1QlK+7ft7N7t/g4b12Xh89dUJ7Jk++3Q5oiMjtPldd+FWQLAGtJWMHsoYtE4AbB2a4y+8SAfautcoWaplCCZzHc/KRGZaKobM+AgzB3VFqJMsz6rSVwfbTHUiFdhMe6yAbZqfcwiEE4gWyh3xWymjyzjv5PQshLqDRLpU0YfIgh3EwbUOtB0IcpJFm4NtAthEfHrxTgoGvr8Crz7bFS0a1BaEqDxkzEvhYgxg62Sop85ewM2btxgJKrmDazwspnA9HpstQ/48SE5OxsfTJjDuAPq+TLXa2LXpa6SlpsLhVsPjdMAdCIu4On6lkVIWIo3tM/kD3z6erodR51UCThxMQpBBbBedSHeRkJ1L3yin5tzZ7zE3jUWLFjK38kMHD+qabfFAehJ7dePH/t69C2XLlUd8fLxYqK3Sc0iBUwGeCvi08G4LbLOAPbl+Z9hs+HD+XPTo/BiuMlZh4z9umVLcui02TYA2feaCthrnqZ5nw8kTx/HE44/ihaFDtN+SgDJ40CDMmf0eSpLLjE98oeIeaWnFEWy6Ike23GdlZeGjDT9iVPcOOHjqHHpPWYDDZy4YGHh9LEEWlm4S/ArGRjPWYnLh3nP4hJBJVOFODAXDSzIysmoxzzLVF2zIyMjAuHHj8eaUqbnGBNJgD6jQpGdlAcpLstMP3lP5c/duREZGsrFwv0tutbIeAwGMN827woYP5r2Pzo89woi+rMYQLF6t3XQd3VNDrYM6fozjgr49feI4+nZ9HK++ONw3h7zGRKq7kkZGxSCHXIfFZ92qoMQHiwmcx30LdyamefWwvLsZWR6cPXYYn0waiTPHjiItM4cBV7lR/HJUkQQgyIVGD3fB4Clz8NTQl7H7121Y9PYk5iVEi0qFmnWRk52Ng/v26iQhppg7nxh8NS2bSRljANnCmmhmtpV5K9OzAwPa3tQkrizTYr9y0LpGOfxy4LiuhVdS/mlpHLX/tCsZ3O2sBJOEYkXwVJdOmDn9LTzQvDmKFi2C1197DU926YQxL47C8qVL8O2GL/HTj5vw2y/bsOm7b7D6s0/xwfuzMXbUC+jx1JPs93RelQrlWYqV4YMHspRejPWVYrIZAZpIW2gC2Wy9k0pHf7HZfgeX3nFnfbwCD/UcjAtXr5tcRMwgzGQ9lsDXxzKqAF3LEcvL0RMn8fCTPTB41Mum3wUIsg33MV5bLUQeRW6U8leHDx3Ec8/2ZeRAViDX0ASmK8t97XoNmKXx3/17xXHTJPIfi3Y/m+/nQBWwTIA3Nb0PyLYqpnGQ35rv2vUnypQpjSJFAmeE9rmjhUOUeoL3PmxaCkpl+2Du++jyWAdcvHhJP1ebs3TFpmGT3/ucrzyDpqsR843JmHXs2DE89mgHDB3yfICtLPbKMDGudbo8p60xGi+Ovu5QtolhA5/FyWNHhIeSMXRI5pfW1yffta1W3fpsLBw9sE8Lf9HikDUXam7h1XNRK3+L7wyEZJosKlNUmff8YZs/+mRA7XU7LZMBaUluJl3DmfVZOa5vwg08yI6ctFR8MHYgSpWviFAi+WQZIuy+buLSNVzUn9phz+4/GV4gv44+PZ5Go4YNMOOdtxAdEaZzbuSoBGT6Rp9lrDRnAdfPIwszS7nF9qbP8hoKe7j8W/8tgelMeGmjHNjZwj1cAGvaz/rkc7Qb8houXL6K8QtX4ZnWDVGpeEFBQk0yt1hP1REq35nq5m1XLNFOAskEjp2wO3WQzKzRzP3bhTNJqXhm9Wa8smmncP/mG4u3ZnHXTrbXj7lZ+k7aCEhfSkzFc++vwKKXn0OLejVhc7hgY4RnlE5U52FhvCyCW2n6zFmM+PS5/v1w5PARRbYS2WJUXhyFsPXqpfPo9NxIhMcQn4wXpavVgScnG2cOH/AhP5NziHlCs5Jn1TFmlCttlht9l5Kpe3jfN6Ctan7MIIwLINzizQUjo7BUumRJzH9/DqZNmYKZ776Ll8aOxZ3btzThWWODVeKI5SR15PBhZgnXjmuTmgls5wG4T588jq6PPIRlHy4MACTnAtDF5KMDZX8bcGDfP/B4cnDj2lVLEC03DVBYAQ0lby97ybKdzNdSJmLmyg8gLi6OHctIT8fgQc9h1MgXULF8OQMI1uNTrAC3IkAyC6D5uAcrf9iGJ1o2YnmEN+z4CxmZWfjmtz2K67cFuLZ0vQSbDAvFRbPYl4Mnz1gKd6ortU4yJr7TUn7J1Eb8+zcnT8Hg5wczgpvciHdyaEQHUFgsTV4g21ByF0wDLUeOHkNMDLG4/7dCipiO7drg48ULDcf9jQP8B4AtJ629e/YwQo7r1676H2PiTgaFlKpcU+5lEGTMc4ci2IQE89zoMbGxljk01ThpOY5enL5AmZyNqVG0lBEEtqWbk2TDzBZAO9uDAzs2MwXPvl82M3CdnulBepbYxDkZMmVFjhc5NjsqN2jG2F1nTxzNjhUrU4HFFB4/cohrdRW3KpXYTBU2fbyjVN2oGWQrucc1gjSxpVGejQCKJ+WuzoAqNhJyyheJx5GzFzWQzZhSLTTyhtoqlgEtBZU6HwnlHoFfIqdp3KgRVn22DF+s/Rwjhw9FgbhYJCfdxbkzp3Bg314270aEhTAeitEjR2DNik+xYf3nmDFtMto92AJhriCcPHIID7Z7GB8sXKQJYQxsS+u2D1eFxTqouvT5PJsvGP57/2Hk5Hhw5bogzdLmMBWYKQBN0UQZSdBMA0ley2cA8++InZ4KkfX4fh8AyFanL23A+s5pZhLSb7/5BhmZmfj+W56eS7+Nv/lQzATK1+UrVWbg/djhQ6aWvQ8oW1zNCmRTkWn98iqMEVi0m9zyBNkw9/n8Y+1Dhw4jISEB5cqVy98PTTWgdeHRdm3w0aIFPsBWr+V/+WcUB2jb+88eppi5eu2qBr59QbXpnyEPtHU98wLbxBxOhdJF+W0Trxc3b97Er7/+yhjLiYCS6upv7ZNyrPQgNG5cPiPlX2ZmBjZ9/63Ogi02Dhb5MQmefQ0qNlSoVIWNhZNHD2vX1ckdfUF1UF6AW8TwynsZbBum50wLUEa6nZrF0l5yAC0IyxQwbQDPag7sIBtWvfsqOvUfhhC328AmLslGOXmlukED3UePHEaZ0qXRv28fvD7pNTzZ6XEeDiTTMyp7AtIGkMzAMXfhJhK0Fp2exryPlukAmm0Zyqam5eIgXkvVxa4vwTr/2wDQyT2cAWwOsmlPKXFJyf/Jt1vZO+rSpJYI01TXHmV9MVnpDGCbvDSISM5BlucgAa4FyGZu3w5BYuZEaFgw+01sRKjIhc03Dq5dDIw7BNkZA9kExN0cbB+7dhsD56zAgpeeQ5mSJURaT7Jcu5iLOBkTvIL4VILsQ0ePs/Xg8JHDyMjMwMbvv9GIMqX7uCbrsOWVyyeXL5zF1YsXUKFOI2EUAAqVLg97kAOXTh0zWLK5Ys+Y/tlHjtXkU33MMtgg2dnFmmBlBKVzKD/8/8R13AccUa0NrlK6OwP/aHSjLVmiOJZ+/CF2/Pobnn32WVStWgVDhgxFkaLF2HnHjx3HzHdn4OeffmLuYXPmzceJY0fRuElTfb3KzW9IcUGTMV+SPOPm9etcaD16xGg0yKVIwd9wzCz7+PutDZg1bwGuXrmMkqVKB3AfkzFDaUeD/KPKUiY3UTkZEsvh1m2/sGNXL1/C4MGDMWzoELR+8EEmOFqx5RqPKfElihuMVEtLgZkWoi+2/oE1k0exzyOeaIvv//gHDzeobg2mjV51xqe3AdduJSI8NARlihfB0TMXMGneUny0/nsUiI1G53atMG5of7hCKB2HKS5QyeWqs/hyNQ5ZgW/cuIEOjz5myttqBNnq5zxTuZAAbhZC8yqByFtKIx0/cQLvzJqNLT9vQ2hoCBbMm4dTp05xIfleCxsvYLGtXGjVLUwG703Luv83F/H5CxfhyuXLKF1ajAUFWOc9DoTbnfY7c/St/nAyNknGhJZIKIkNm7ca8vfShCAtAR47pTKRLtkcrH/58TwUL1cZ1Zo+qDeaFtus5yGVwJvl5RZu1xxk2FDz0V44/dcvqNDwAQauHUFeRcixwxNE7nrk8kzjyAYPxduR5e6Bh1D3gYfw+5Yf0LTNwyhSohTOnjqOD2e9hW9Xf4qYuDi0evgxDBw+GsEhwVKE5PF7wntYedWGYmAYVsC1vtdZO+WCl1f6Cga0mYJVEqzY2L5jg6r4eud+VCpdQoBjs9LNUDExj0tJWPwt9iT0TJ89D1u2bWccCAven80sUs2aNOZpUmBnylzafC/M+4sujXPrgLRUX7t6mQlvhw8f5cKQSljj4+Uj5kJZR+268l4K2LXqnmKEfPzu67h47SYTTAy/MYBog4rLj6XbfI/c5yJaf3/d9I3FN4GCbJuFUgB5liHDhmHTxo1o07a9cHXUybLY5Sy8hvXkgrwQ6RARop06cQzvvT0Zq5d/wngN2nXoiMEjR8Pt4gq1fBeLuYbt1XHkDXBdoFAqZT0zXDWv31qujb4nHD9xkq0LP/28jY+F+XPZWKB0VeQC/V8Kpa+iGO+jhw9b3J2/pPza281Xkf/L5nhv/kJNRtKmBbUdfDuG/oV6IeVcOqSJiSJyQqb6k59JMbFt+y8+NSS26eXLlzMiNOpz0dFRqFKlCgPcly5dRmpqKgPbVOj7UqVLo3y5cihXvgKqVq3KFLqs52r3Ff1HZCl9fuhwbN5EY6Gd4HeV87ZCfiZcyJl7t0i/xa4jznG7nShRqjTOnDyO+dOnYu1nnyAmLh5tHnkMA4aPhtPtEvHaghBLbDxWXPytHJeaZO62bmPf6akRxV4MWHLhpfWO1rG8XMclsOYx1DrQ1jJ0yHzaCuD2Zmai65AxKJ5QSrdyS1AuriEt2udPn8CCOTPx67afWdz37LnzmMcApeb66ccfUbxoYSUUyJSq1hAWqcz1Yk6/du0qs7ofPnqcW6Yti0VHNawLypqheXZ5lHS4QglNCrrsLCwe2x/7j5/C1GUbsO7VQZqLu+ZBKsKrtHtoU77w7LTzRG0so4+cs9TqirXKbOUtVTgem8f09H06FlLBreMsNIxcyJ20JxDtZNuYxeuw7NUhKFKokLBk69+xjZGhOvmeMv/YgjBv/gd4ZdwERMUXwMYfNqJ5a+KH0eUpSYQmjQpy27RmGRq07Wg4l0B2fLEEXD17Et9/OAt/fLMaYVGxqNaiHR7sMRhBLpclyDa/RTXVo89xU1fnze9FJnn05nhY37yPQJsTXFmCbPOYU2dMjRiCPyVNIs2bNkbzpk3wx64/8crLLyM0LAzDhg5F3379GOV+96d7YPv2bRgx5HlcvXoVFStW4PEGqrCo64EVYVPc3rDn3zdq0pTla40vWMhHC57bGmj+KhCQLk8hy3KpUqX9Kf61s00ilPaHGazoQoDqzqNqVRWCJHjx119/4bVXX2Xu4pUqVjBpxFSrkf5efdh0NTWwtVWa7scYWT05CA8JRteWDXXBVLx/Q+PZrGIU7dj+z2HGOB4fG41KZUowQrS/Dh7Ds092YAPvnUXLGLh+fewIJT0OpfVS034JAC4ERXJrf/31N7Ds00/FHOMLqo2f+QCnyTxv13H5Znz7v69VKg8wrk2c/FqUKq9br75IvHsXPbo/hW2/7MDgIUOZIFSwYEHe7myVzr2aZrgl5RIaC/MXL0FBmhzFuNIJanKxM+UXYCvn0Fgwg2zDnfKQ2Q2KNk2YlcKW8nA0+aoVMLWD/DnNjXL+4PiP9hz4Pt5rICYP6YUq9RvD4QxmQgttpHXV46M5FDDcShtKXjiDQ1ChWXsGVKlPSUUY2UM4cY20JPtQA7Ewii1frETThx5GQtnyOPzPXzh6YC8efeoZtuB+8sFsdq3hL03Q2lFdRMy9TbX8qKnQPLmAbFIcUDqNEBpXeQBtLgAoLOJeLxqUS8CCH34XNzOBVb2hlA6kjhm7Mhay0K3vQLYukOv3th2/YfDwF3Dl6jVUrEDeOdS2Fppl1aSv3VNYxLWsCh40b1AHy+a9i8LxsTr5mQDaWsyejyVeqb/5OXLrxeLxiHCrTEJxccwMXAMA1JYXvpfvTPXOq/73WMLDw9HliSe1vmdZBYWMy18pW74icw09sHcPuj7TmxFYLXp/FutzI1+ekD/cKu+rdj+lLvI7+TmQdYFl4PCR1swzovpRVaxY1V4KxHIsZKBbz75ITLqLHt26Yusvv2LwkGG4cvUqWrdqjdWff47Ro8f43seCC8e4MvDPZND44MMlKFCwkKEmxv/vT5Hv2h3sRkKpUgqlpAqOfevJ5UkVSPO52GDu8TnH+NlfmTdvHjZt2ojevXrji/XrGN+E2grqKkmF1unTp0/j+PETLK3aJ0uX4Pbt23C73SxdWMOGjVC3Xj0WBy7n4KiIcDz55JPKfCzyxsv4bAV0c6UUgWIpp+jnlCtfEXv/4mPhyR69mIfMR/PeY3cZNnaCANWC5FO67Cvzf46M3RbhyOw+7No6q7vWdWDsQ+ShFeHOHTrcTc/mKS0Vd3GnCrYdpu+CbLh07CC2r1uGoZPfE6m6dCs3B9c8HputqdlZGNKvJ/MyePKpp/Hbju0Y/vwgZlSZMX06ihUppINsq5S1EmAz0l99zpdzfPPaVfHpjEkoXCCWy3t5jVl18jKDbUMIpdH7iSnmxffBTgd+3P0vhnduzYnu6CUpoNp6BNr0JZORocl7y/f2H0atwRU9iG3MY5Qdt+PA2cuoUqo4CsfFGsI1pSepmSjTK7aLly8joXRpkNPco52f0NJ4ae7jQlLXM4nwfdLtWyhRvoqOTkQHLVyqHM4c/AfnDu9Hgw5d2bqwbeUidlbbfiP1llIMlLktf6qB0wqYa5lsvOQ+noPokPsJtKljalQLYuBpD+unA2hgTa6k4iEEiUrjBvXRuGEDHD16HH3792fuOStWrGDpXA4dOsTiK6hUYEDbCKzNgFudBP0B76LFivl9vkDBdn5lEX+wRb2fD5gX/+lDWgwm5Xujp6CRFI3iYKdOncpy/K1a8RnLD2iltTMMYLP/lQ/YNgdKcQuW/nv1d8pTGRqPBSBxQKb4JNEgmv7pl1gxdSwbqBVLFscPO3ajTpUKWPDmKwhyuVG8WFFMX7gUT3V6FJUrVeLaMZlDW8tBK/f8Hu/PnYeePXsihlJhSZfxXEA2z7uX98TE3HkUkG3SG+bSmcSEY2l54j2b/p89bwGOHjuOP7b/jBo1quPgkaNo0KgpO4uUTqdOn0KZsuUUgGktTJn3Kh4tVryYbhTweVEWOPUeAbb5s35JW57jwG8T8uYS7W8BtkV6GQPTsWBAZoQvjJCJu+hRs9ECLgUSAr7hYWEYMG6K5gZIrnVEEBNkIxdv6XJkBNuwiI9m9SDtLN2SSLlZPXisEV2PCVR2GW9t/fTFSpXFn9u3oELVGnhp2iy4nQ4UKVYMSz+YjQ6dn0CFipUs3RhlU2ndWXGj0l3G/YNsWuPJvT2vFF/cog0FZPN7BrscyMrJQU42xesGwNitAk2FZGv2B4tx9PgJ/PHzJtSoXg2HjhxF/WbkaQBUJFdZf+NVA8L6fGcUqITl2pODEoXjBdkjCWAmpYCMifMB2qITatOdMiHnWky+mX6t2arruDpvWF3P2I6+x/Mq9x9k88whuV+PD1Vr/xSrUqZceWzbsglVa9TClHfnMGtL4aLFsHjue+jQ6QmUr1hJ3JwuLq9qvQIbH1c/w3reorkhgDpSH/Jpy9yUJRZrpBlkizmG/mTrwvHj+GPbFrYusLHQuDn7VZUqlVG8WDEG/JhC0wehGosuqOrLB/1NMpLqYm2Q4cy/vx9F1VMJ8sq8wLE3F7CtXtcXbPuH2hu++goXLlzANxu+Fv3S7L0i66j/xu0IQqXy5dj22CMPC5HYxlKD7dmzB3/u/guLFy9kKaGaN2+Odu3bM8u3lFXpaZkBSbNkC2I0oXzVwLLFOWWVsTB15vtsLNC7o7HwaKcnUbZCJWEV1wzWikKZz9MsyQq5XAtrNiMTlfKk8BxjGQLUTmLzIj0AoJ2Ukc0IzlSAzYC1TMllis32ZKRj/dxpGDljoZYPW/5WYxcXqbrIVXzxgrk4efwYNm39FTVrVsf+f/agdUue3ahpk0Z6rmoJsuVecmzIrDrS0qwAYkkYVqwAeQ9SQ2VZePX4mevNhimV20isIfL6BhDu8SA9IwO/7j+GV55qp2XuMZxvKqoiRI4baiAOsFUEJM83W+9yL1JGV2O+bQxo823tL3/jqdaNFMOXIBVQZHCj16kNmVnk6eDQskupnoFG7hl9k1lenp34DhAUZCCnpMsXSiiNg79vRfEKVfHUmCmsbtEFi2LrykWo3boDCpUqrz2/plA1yJ3K/C9fsZQZLV6zikFTswho552RInBfI4pNEdYKvllraMwdTI9jM+dn5sQytJUuVQJHjx1jZGmbN2/CMz2exrWrV9C2LU+zEUKB91rcikL+oMSz+IuJ8Ucclp9Nj39WfPoD/WcMo/AhOlNjYvJTd+18JWb7yqWLmDB+HEaNGoVBAwfiw8ULOcgW78PmT1hUupAOqOVX5oVWPz+bBFO5mhkAtmq59t0oN6M6OD/65mc83LQeYqIj2SC5dOM2srKz8d6EF1g8CZ37ytABSChaBFPfXyRcUASwlpo0smprhGiUy/Uc/vjjdzzVvbsRUOcCsrlF25MvgUpnFzcJx1YCls/k5jvbkZb8rXdnYdjg51CjelVWwSqVKqFt24fY98SMunnzZvNdc9l8melVQGaQ8U3HrACcvxhs8/XMx9TamEG2Dtjz3nzrYsXXoMbWqPHbat5qnThG3eSCXrZiZXz/2SKc2v+3Ib5NJV+RxDU6QaMyZWtDTF1MhOCkKgpN66e8xtA3ZrL9retXmcLshdemMQsL1b3/sNEoUqw4Fs2eoZ2vvw+lPbWqKEpJQ45JsakgW5CP0D4QQjRp0dZvpq8BlYoXwtELV3SlnEG5JxtJHQvqi7azRXnarDkYNmgAHwsEKCpXQtuHWrO/g0WcpeXao4FjRcEoXAVZ/LVq5TBYPPSsCpIQje/1GHHuykfuf5y3wujOZ1T/5lrMCjdLrVMg4Nf8xs2/D2BQmWOL/0MhjwxPoARifp/Qt/2uXbnMvJRenfoOAxZ0yvMv8LEwf9Z035/7rG++9zXMG35Ati1A5nHm9ad6MPnJM+4zSfpcSBWs+d9ZGRl46933MGzwQNSo5rsuUFrVXr16Yv78ecYH1PZ5C9lqr/CpDv43xaDuF+/L+NnPiDJXyAKI5GYHVMu5c+ewZMnHmPzmG0aQbSnHKpvhO12mpfRRzZo2xosjR2D1ihVY8ekyVK1cGYsWLkCXTo9j2JDBWL92DW5euyrWISHTGuKs+Wfj+sSVwvT39atX2Fh4Y9p0uJ1BLFZ52KgxbCwsnD1dyyFtXt/UY/K+ugxqWs/VdVns6dtAMlIkZ2abALVKeCas1NKlnOrjsGP4W/NYzLwOsuVmN9SdrNlzZ03HgMHPo0bN6uz4sqVLUL9+fXbvEIoT9skgQbwbguSSxWjrf0P5mxlRGHGZ2MitW6azFa7eBmBu3nz6jAqsjR5R/LgO7I9fuIKaZUuYxEZ/YNkkU4u4bG1T8l7LjbOHc/dvcgXPa7PJvWbNVuV2G/49fQH1K5U1zWk8y5EKsr3K3xR+QUYeTebW5BI5xvVjci6gLSMtFQtfG2ng/5DNlHjjGusTXV54jYUHU39+qNfziC5UBD8t/0DDijoJrn98xeVG83ErQjQ+vgIlRMsHGZpIXaFsGgGaGcT53dSOqHdaIpciLWDL5s2wYO4czJk1E7//9iuLPaJFu1RCCZBdRSVE0zal0awBt5n4yHfzd/y+gHQ/ZGfad8jv/cznehmrK6Xtevnll9HxsUexds0q1KpZ3Tp1gfZZH/CGtG3+iqoKEg9BMUrEtsy14ya04wO2+SA1gGy7HUfPX8HGnf9gaLdHGYCmAd2uWUN2ywplS2txHcGhoahcoRxSUtPFb4XLuMo2Lq1hXmD8+PGYMu0tIUCqsammgW3SNwQmUHEXQd0CZ5ZQ8gDcuQ0zTw4bCzWrVzNUrHmzZix+rl+fPvjhh40W70feS/2sgFETUFZ/Zv7OLyD3B7CtgLxYuHVw7dstlGr6v7dFXQz1VoC14R5m4O8z/lTQLUC2xobK/+7U+zmsXTADidcu+QoLLC0Jd3/jrm12BMlUJpIxViHW0MG/MuEb/tb3v/3wJY4f2MOu06A5t96WLFtOWzBCQ4OZG216aqpRSPIB2EofN+nPmGVbs3YIlk4lj7ZHWLQDAtoWha5BjKnHzl8Ri6Oq3LPovDZfazbVIS0tHTVrVFOAix0tmjZlY6FC+fJWdzYJO4KgU3r0aBYMGavHCc+044z2VI/n09jSKZ2hJHWzymeqNbiqpPx/VNS5RzuWy2YF0rXjVpac3G9PMaz0fqzrFpjqwKoJmz/Yhu1Ll9XfO5FalatQiaV3CUTF4XvvwObmgCzaMkbbFBbFhU27YfPzIkxF72OkuNDWBfkdgBZNm/CxUKEcyyl/6+YtHDpEmV0CnE/Ffc2AKrdihXH/y4YAwPZ/Kfqz6Q8m/8rOzsKI4cMx+73ZcJFS36So04l+uQeMBHDWGwdw2l78TS7BD7VqidnvTsfXX67HxPHjkJmejokTxzPgPf7ll7Bl80akpSRphiMzQDansXqwDR8L9N7lMUrbRx5ONBYYKNWYyI2GKV8G5fxRCqYFsC4QAPFhGjdYtgXAtttw5M9f8MMnHyC2QEGdME353qjcJsHLw7LoVK9Rix37av06FCwQj06Pd2RjoWK5UhqolnO8wW1cAmwBpllaLdpnC5AtgbWS9lYqVX08mwKa6FXLrj8tlw1lihTE2Ws3fYUV8+9VIi/hxp3rJoAyA8tsbzzmdxNCjLYX85pm6ZZ/56PkyIwU+fgZnRocGoaM1FSTMYH328qNHmDnFSpZRgPAxF9TpFR5ZKWnGQwkVhhKNaTyfibY7DVQbmHgFOcHShobuOs4LSK+5hflmHCjzK0BpRsK+5motdfG3CGppKensgFRKD4Wr457GZkZGfh46Sfo3q0bGjRsgAEDBqJwkaLapXy0IkqEMZsnBbmOVmv99r7PkUfJaw3ypz3Vf2cSeszXtPn7bLP8nkg5vli/Hl98sR4JCSUw8oURqFSxIj9HUWwYU+YYNWrG95nPCUNs5UoUxsmLV1GuGMUO80EgMporAT58bwbZiSnpeGHmx1g2+UXYHU7NLaVMSR6/eOXWHcQXKqz9Jj0jE1FRUSIeW7iMi9hsKdzQvb/+5mtUrlIF5cqXN6YHkRozC0u2bIGAgLYmUPnpFVYgW9Xu+b+yRupDbkTyndBT3b2byNK3hIQEM4Cxf/9+1KhRw3+f1q6oWJTlg8oqqJ6vpqqba+mP5MzcAqoVyPhj/2Mon3M172NyqtGehTeE9KCXJ+kTMv+b54mU8wILgBOfeHwTX0wpLRwQFRWJkVNnIygklKXjcAYRsYakW5M6Sn4+o6whjGZS4mhsln5Atp4SRnymfOlfrcGr8z9hk3yxhFLsLnduXEeRQgU1oYnmxsioKO23ZgOZ2Zhn6Psmtyw9btvIsB6I5cIaaPO7VSxaAFsPnja4wPlGpBs0Mzo4sdlYLDOV9PRMQ4aBxKQkFClSmOX45LezmH3FPEeUc0bgrYJs+bcOvlXSGk4aY7JEaBVWO6I6COXf+ezU96X4QbH5HWDqSDWD7FyBYT7ukGtMtj4hq6dQLC8VYpOPjeds0czakZHOxoL5Cv5qqHU3ZZ9XoXCKgMLrVOGYTUvWbeUnUkSvvdadeH9yC1Kf9HSxLogBTjwebCyI89588w2MenE0Pv/8c/3h8ggvIvdg7rRtWRPLv/Vnzv03eRUpQnK5Qf1sciOXJ99jsRwWAKZNnYpePXuibJnSJpAtDRB+uBnMndNywVNUGQpQKlGkEPo80x29n3maXeLwkaPYum07Plu+HGnp6Syu+4GWD6Ju3Xpwulxi3hayrbgtqy+I5Jfztsj5W64LtEZw0kERvy4ICJkruCDuZK7puThW+CuBrAvkUksK6CDVGm0gR+ObJzsTmz5diLFzPjF6lpnOVb1ZXcKTKTMjHRfOn8OKTz/F+nWf461p0/hYEN5LRiI0BWQL6zQzmDBcI7yUzBkxWLyXAJqs8TjRrk1d//OaW7UhKPGOn5NgY6nM0jKIeE30G6F05mER+hxMfNgUciblm9xHnVkGzce7tliT5fVIdo8MCzXMdYEUr4FUUpfLrC8hvheheg3aPGIppxYslsD+Tr59HVGxcdrry87MQEhEpJYbPLc5xOxWrsmNyhTK62+8RiBjIV9AG+YYbXbMWFX/Hcn3B2z60VAACVVuZKSl8QHCjtlx69ZNlC5dCt9+/RV++eVXjHvlFfbbPn374oEHHmDWbjYutPhtpUHEwuIjgt3DZK3+JC+s7g9o+3z2C6x1mGIGPaQN2r5tGz7/fA0jfejcqRNWfvYpwqjDGxYC3ePACKyFhUezLpndyPNqCNXsyf/u0LQ+lv+wHW8O7CYqSuCegIpkEZasfTYDyKb4oAHTPsCUob1QpGABLe6DtkIFeJ7oK9dvo1oVnfSMgHYhStekWbAVa7YYsqlpqViwcCHWf/GlrxXPmzvIlotVnoXaMU+LtS/ItugFFk0sxkJ6ul4xxgh7HQWpnbzAoOcGYuas97Bw0SJf2V4IU1o4mipXSaBsBtymWvlMx7n2VeURLZjJra5vunQArWIsCo42/EYD2T4TtSJMKLHbkjiVhBJGtaq5zgqlndeOosVLsJyny2a/hSHT5sFJrJrMD4X3c34JD2w5dsFcLq3DUnhV8nXbTZtmZdABeGZ6Kh7u3ocR6NDxeCK/Y0D7GoJs1TStPhEjkeu0Fcg2tpWZPFLdFAZ1pf/L0AoiKMnzXWSmW78gAkYFYnHu+t8W36uglG8GAkHxNynm2Fgg4UMBMDQWChUoaAS62kDWVwGN7BGqNdvIJG4NsoXVWpsjxUNp40ZZ69SOLs/LN7C9T8VqgJlOUDFWntfwkUz8zHWm82T/8XtpdboynWNex9Uv4umdg7ImXEWFKlW0ryiNnsstGfjzs8TnMg+b9oGtC/QDuy/A9rc+GJQ3uVyUdSk5FtINyh0iyGRjQVyrRLFiqF+vLtatW4uuXZ/Ku87avCkiwQ1rSR6/MynyTLVWDlojUl9wnQvYNi1z+SrK2qS+it9++xWXLl3EG5NeMxA1Gr0zTRwP6jvLrU9YyAd8/dVBi+QrqlqpAqpWrohhzw9Cdk4O/vp7D37etg1z3pvF5IF69eujeYsWqFO7DhyUmxhgLM8SaFPMMsfPpIBNR3BwIWYBp88yzpver6iFMEioVjqdbyS3tpXtT0zLeRUyehNQVtOJSfIzNWbbbnPg2QlvM14Uc/iWzAcuU3dpa6adCCXd7FnHvzwWs2bNZMY6yqZCsiOPvTZapHW2cW7p9iqhQXr8tGCGk++XyapC3JPCAtOrk3XX1BN9BBH5t94dZAy/JmFpQFr0DZsNpYsUxM97j6BVzQpcgc/6ijBdCfmadRvWDQMYCVqnl1s+1GDKmsuVDbqnzuFzl1EpoUgAFzGOFTIUEbO/0gra82ngVgnI1KZQ2FCqYlXcvHIRsYW56zmhDJLCIuM4Xki+dQP2cnrbZ2dlwOly55k5RW0m31BEHWlLmUktgYyFfAJti/RevidZTIO5/UZnJacYo3QCFzLOyeZFcnIyIsLCYPfm4IEWTfFAi2a4dOUKPlm2nOXjbtSoEZ7u0QNlypTljSDeDL8jt275w5AB4UqLz7lN9P6+swTbeVisZQ1TU1KwdetWfPfdd7h06RJzIZ44YTyzYnNQoRL2CJjgY7W2At5a1soAF3zTE4iJoXXDmljy9Y/MRbRCicKaq4FeD+XhpPu4PQhj3l+K7u0eQIMalYU7C7m1ONh3ERHh/NnJqitcxLlFO4PnvzTFiqgTwLvvzsTQYcOYNUzYpHysdRJcGBQz+fL4VJ/LJJKZhVMf64Z63LrDsLHALNr6/dhYCKd28aJChfIslvvUqZOs71u9H5lCR17fAEqVehiAqf8q+QDoQAG24WMu1qN7giamdUP7aBqoKjGa1hVJ0BAnc88XPucQSZmTycp8GqeeXKZCJTzSvQ/WzJ6CXi9P0ZRJGohni79HS0mh9S95WaHgkO5zVvHetL915SL2/voTHn/mWZ4f1G5DZEQEewYSKtS8quR6SGNBWsF9UIwq7KoCsVY3cy5aU7wUi6sOAGhLpZMFmAgLdiKFrNGG8xUQbHU9RYNOCjQ2FjIzDEzkySkpCI8I18C5pk7VALHy4IY5UCE485e6y0Rc4wOy/fQ/jrnzoSrSSIb+b0G5wXZpeWup6FBOyCuftzKws3NzG7/HIps+NJyPhbS0VMO6TkpJErzzW1RrtsUjGt2qA6mnMBDoP1LbzzRAtfkpFyFFnMrP8+oyknINNhbCw5STvRg18gV06vwEWrZ8EPEFCigPbK2IRa7V4NYkc/fPD8g2LjH6xGwGzwFZtuV6FsB7UeGFCrJtQlkzdcoUrP18jWH86yF16jETH5EP0M5DxpVrpGIRlHua4/TjdjhtNjSqVweN6tdlVyUl459//YWfN2/Gu++8A5fbzXhaatepw66emZbG1gmmTqRwn4wMhAS7ubVYyD06d4iY44VeWQU3XLWce1tKvWIgMhKtU+Q6rq5zmru4ANvZaSlYP3cqBr023TKOXItXV/mYBOimtY+Y3hvUr4/yZcswAM3xQrjGAaV6LmlcHGTJVnJTM14Fdb43FHXtkPO1OuHnJfTIVpMAXpebuaGIW8wlmCaZdupz3fDkxPdQrmhBJMRHweYN4m+NLbOUOlMOVD9rkmV9LOafgIpKWqy4kcOGPcfPok4F7mFkWZRJwKYpXr0oUrgwrl65qgNZmXuefZbylBEjyWM5WZnYsmYpur0wUZBjc5NeKL1zAr0ZaZrxhH3OJAWsWzuWW3PxvNlWYFvK7nxylMSE8ukCbcnAgTZPuOf/ezWJq1aUicjqp7I1iaVWWLSZNkpYRGkBpePcys17dtFCBZkWy/vSWPz2x068N2sWzl+4wFgdO3bsyFgdeSowFa5a3V5ZANTFxlw902IrO4zVNW25rAAKtPEDrEVnYhrNv7H155/x559/wuVy4sEHH8SEca8goUQJ/a4Gxm8F2FpYtvXvVdcYJX+2+bd5FG2yFSNg2tBeGDRtAT57fQTioiIs3KxEIZIcrw0TF6xAsYJx6NquBY/LtguQLWJIgoND2OnMjYYJ3NzSTRZtyh2qs4zrsdk0AE6dPo2Dhw5h3MRXTW6yRpAtCalY6yldU4KMPIvGuK+8QQPa8QXdlhYOg6ZRL8HBBLSNlkIC3oz8SaC3sWNGM6XCBx98oN9Lx4v6H/4mF9OjqMesTrbqq1YA2+caAbhm0veUvunkyZOMmOb8+fOMAfby5ctISkpCZGQkGjZsyBRrtWrVMgAayzHoR0DgXjS6CzmH0XyiZ/MBLfDKb8mizfuPBw2bt0K1+k3wz85tqFCrIVyuYJZWyi4s2Q4PT+MlCcXM6yDdnwkLmiuckZiGZrylb0/EwJffMAgboSF8LGQR0FbIa7hAFWwQINU2sZz3TAuECqz5cSP4FuwLub87Vfo1lVCXS7jCaQ1q3MuG8QFtkkDFzvo8Uzop7nPaWOA5TRQlkmm9UUAyn+cUcG0mMzLkKxU5v5V5VDVmm5CDsn4EIP5r2pdAoML/oqj3tLq/leZGfrYZQbYqEQk7xJkzZ5Hgk8/83orX9LcE0xSfqX5H7rJusWbcS1HnLn1tVtb9gF+TEJi1Cys/NowRpdP4kT30op9H60KG6jpus7HPNBZ0YdbDYo3JJXrMmDH45JNPFMJS5aqmLsi7Jc/MYK6SD/zIZVrIa/009Hr9MQIG2xLz5PlKDAuWKn3x+Xz48OGYPn06V16beWw0WUkAb3WOkGlRrcC2UcOg31EZI/JvOb9Jq7amXFTADf0LdtrRonFDtGjSmMk6Kamp+PW337F+3Vp29QUfEPmdB61at0EoxbFmpCMkNIStH5w/Se4l3uOKZeYybto0YJNHk6qEVP4KS4VnMwNtsQn28c2rl6Bey3YidtsYt61ZsrU9DIpml8uFv3fvxkeLFmqx8/TsbrfLQE6ngW2vtF7rpGYcZIswIe3dq4oRMf8zRRMHgdqCaQtgvmTnU78R4WYmb1Dulk7XprzXVAc7cx+fP6ofBs1cgo/H9EXR6HDKj8LXPuqP0ntLkqmp2Eqrt7keqrdxLgDd54UrHUNlFrfZsOfEOXRr0ySXHyuuo6zwPfNCNnkZ6uBadSVX3MbJ+xBA+eq1sW7xbHiys2BzOAVK1EPMsjMyNBZ//jmTeTqpHsJWTOwM7Iv76+TX6jli3MinkGnw/hdAmwNg68ImDYOwIb/Q/rO2YMi5iizawS4OLmhwCFeWdAVoa/ESIrabvm/WpBGaNWnMtOg7dvyGxYsX4eTJU0wwr1evHsqXL4+SpUqhVKlS2stQVw+tRn5mFv7CfV+MdEm3/FkuK4Bh3VWOXb5ymbmEb9myhbmE16tbF61aPYjRo0YyoK0LqEZwzX+fC8Bm1bd2H9cWDOW3/FrKi1Fr6iMMC5cWmxclixbGuyP7oucb7+OZds3Rs30LPmRM7/zijTsYPvMjPNmmGXp2aK2DbGVPGxEZUElNzxR5sjnLOBOw3SEKyNYFc9q/+tokvPHmm7xVxECQdnszyDYAbAVoBOQiaAbVBuDs2xmsLdlmhKsvcSRQslg8BcQwq41kWYaXpXPJyszEv/8eQLVq1Q131UPx5GKRRx8PoAQMsP0IQeoxAon//PMPfv/9d5YGhVyJaMyWKVMGJUuWRJUqVdCubVsWkx4REYGbt25h9+7dmDt3Ltq3b4+nnrJwiWSzoaJcEIsin0iF+6U4jy17Mn7asEqJ9hZGKTkqZFw2scm6nU7MHNkPPUZORImKVbm7uLBky9RYklDMPBFLcg3asxg0RfhIuXMbrTp2RULpMsZYNTEWyKVcjfFmQoWwaOswM9BpXxRTPXnXF1eRjjJ5Fo+RGEVBK8yaopqgjH9Yd0uDUEqWCxoLmQqBFO8/bD5XJXL1PWpcICaLtFQwanOdupnIPIUikjPCGprMGmyzOQcG4UxR84gf8/7lNyI2F6XF/SiGXMXWDZ83slQHuvEA+3Pv3r2oXr36fayz3tQuChtiFu007TsqfCwEYNFWp2w/X/k8v4oK87y+Cab4tJX5hmbA7eceogtxT6d0DoZFJ2QyElsXhHup6Pu1atVA9erVsHTpUvR79lljVcx8Fr634n9r1ZOipq/yw/xb8ydVzNZbwQjlzSPFZxiwL/i3/pcyI5j22RSM8/qk1/HYo48K9nazd4sSYmdiHPfN2mIE3NbyE7+p7kUihX7poaNbtjlIUjz0NDlLgDKbHREhbrR/qDXatGqJxYs/xMPt27EMPQOe7YfY2FgkJyUxBSy5k5PfVY7ifE99hnJyk9eWAehorroWHcKiBCIiMaAvyaV82M752lckoRTqtmhtJH1Tf2MA24LpWQBuInwjGcHlCNKANccLLgP/htl93GjJFiBbtWirMqXsd3I+t9LwyHHsd95WgTvJrPxa5IrO4CNdm2RcRTNfunhhzBvVBwNnLsPzHVvi0QbVmFLf6GllNq75kS21z1I2UtbGvIpJE8Pc50n2yM7Gtdt3EU9GNR9gr15bVUJ5ucIHXqbcSrx9G6FR0T4ZmHRyMp76juQzZhQR34+Z9RGuXjyP+OIlhUHVqylgszPStTTQ0qLtVC3aoo+rzcXnBF2ukhZ29htlSaQ0pcQJw8UBvn7nR9oK3KKdy2U5iKbJwmKOMUxG1tch8MxjtCn+iAaIeKFEchIezgcOm4wECYF88WLyZSyMLZvjQZFH7/adROz55x+cPHUKO37ZjrNnzykWQm4lio+PR0xsLCPXIiE/PDycWVJJI0ZCnMvtYlozWtzoHBL46RymkVE03vkr3Ep/+PBh7Nu3j4GNM6dPo3DhwmjZsiWmTZ2CwoUKGtvJZLnmT6AMrtws2Ox768VB19SaBE45KNT3ZLDcKpo4gUjo22rly+Cb917FB2u/R/uRU1AhoSgaVa2AogVicej0efx78izOX7uFWaMHoGLpBAVc6wziUmsWJMjx3v/4M/R9pruWI5sJ2CxGW3FnEYvY5h+3oHSpUihXrjxnUZZg2kCGZp3WS387AWqoDEoH9ZhvnzC4WPpMhNYCGAlO9Kz6e+fggvqgDh5seP31SRg+4gWsW7dOuPToV/UB2+pDBlrMIPoeATbVnbwztm/fzvo8uZbWqVMHjRs3xsCBA8Vz+dxWK3GxsWjXrh0bI507d2aeKzK1kw/osaq/VwXYvGHsEkwqsWlywqdPInsQi5OS5Cd0rwbNWqJc5Wq4eP4czhz8BwWKlURodCwD2jIvtWTtlsBVq46ikVdzhH67bAFq1G+MBx/pKBhXBREMEz54jsZPP1yIbs/01l3HhVVXc22CMc7SzHmUV1Et2fkp3KINPcWIYCelel1LTEbB6IgAL6SIxYomPdgtLNqKQo3cKSMiI/VOJ/u5rl0xAHuDQlEb+Jp6QW0Fw5/60mU6rvV/c09VBBmDd5BJEDLcT87TcgCZP9/PovcVn+NWoNBHGZh32bFjB4aPGIH/RWFstQCWLV6AJ3v00o5ripdcihl4af/7PK71yh7QuFDm4LyLQjKhCfRW/UPfawpYdV3IzERkpFwXFKDk9WL0qFHo3qMHU9xXr1lTGxqqpsVroZjkFjxDTbXq+ivGYZK7yk+H2f5h870Uax2QcRxRvmxS7Pbu1VOLv9bnBzPAVizbqgeMGsdtKYsZGoNXxUcOUEA2W1vUeU966cnjOtiWx5yCC2DlypXY/cdvGNT/WRw5ehzr16/D5o0b0btXb5QVObvZ+6D82dI1V5+yje2WR5FPFIj+lQFluTd5cJGb97oP3kX3YS/rqbvMAFsD13o2IckIvX3rTyzjDckFPNc3B8wMLzC+IkobLAnRBO8GZcdRrdc8p6Upg0Ru/VHxabY0qCiNaXj18jfc+4rHXYs1WsgY4g2J7prDZMbyJYvji2mj8ObS9Vj/y994o09HJMTH6OFNPnK7UhXzMxiO5WPMKWsyZxznMvpXO/5Bx6Z1hLxuupa6vgpw7VXWWjq7WdOm+P3339D24Q66NVkDu15NmZJDchr1AS8/Rk1HmGzfbz/j1rWreGr4K+zHdsoWAGDL6iVo8TjniqJbEhkas2ibhERdycT/kKlfeV10a/a8ccNYWrFaTR9E6crVsXbhTISERaD7C+MRGRMHJ7OWe+93jHbeF/SdONUJSJmILH9LHh2CIVB0agclJ5fxFJrFhLtY8NYyWrn5HW2IiQpnyetZAnuTJZZOJcbumzdv4sbNm7ibmIS7SXeRlJSM5OQkphUjdyzKUZiZlYm01DQkJSch6W4SY/ikTkNgm5geCxQowPYE1EkIoMFP35PGna5D7rDXr19nVuo7d+6wWhCQr1ChAnOBHf3iKCQkJPAXKydnw8DJA1yrf5u1XH6AtuZZYMr9arRum96feB+SvEFfDJSQNK8XLpcdI5/phBFPd8SZS1ex68BR7D1+FlXLlECXVk1RuEAsy8tnBtmcaIEziTOiNFGH9q0f4NZscS7luJakDHo6L3589pw5WLFylWGca4zK5vHP/jbmMc4fwDABZWUi82UVN4FrS5AtF1wpAtpYCIH2fmksOBws9ZeudfWieLGieOzRDpgxYwZL7aaDDvPcqguPXL4K9Gl9hU7z4uyjPBWpaAhQE7fArl272PEGDRqgbdu2rJ40Tvzf0f9xUnoNGDCAucu/+OKL1icx5nujFVJzt5JAWggdEmwr0i4XMuUPCTiy33PyE3sOD2opEF8A0bFx2LvrdyydNh5FS5fFE4NGMwUPadhlnzN7R/BriXhtEav23fJFSL5zC9Vq1zWAbGnt5i7PwAOtH1JI03iICVsclKVTkhpJQVebVgJG2/nRNsk24lp5qe1me/H31dvJKBxLgDjAYui0EgiRS76MZeNzuMPpQA6RkBgs2tKS7Q8miQwMVg8nJgZNeDE3iOGY2r6yz6iXki6Gfqza5jVSKKk1whv5wqzIE/5jsViZTV/kNvr8ta2xnDp1CqVLc0bk+13knNii9UM+x/3Hx5snLOsz9Jk316vkWqwzSvj5pewn2mcBto0X9FHUsTYQ4S90P4cjSByD0of472h+mD93Lnr17oMVK1cyw4K6pFuOcwm4le99eqIJdOclGqrqgvsHq/Puqebt+LFjzMK/zhCXzecGH1dxSx4H3zSpvnIX/IJtfa5QwmM0EKPLVVLG0sCN9N5j870kkxUyUptWnF3bZkelCmURGRmFVg+2xLhXXkafvv3Q4bGOPPeCWO9kSlgDZtQMR/5fpPZkAa4PFJ9Np2lknyI9GbluL3l9NBq17QC3y2m0dgswLdOZSZZxnTQUSElOwuyZ7zLZm+QhDqh5/nIdLwiQbUojbM6B7puuSzyphQzH28kEqNV3qq5d2lSvWMjZdb0GAxVzBhPx9fwM+d65H0JISCjeGtwDh06fw9gP16FqyaJ48Yk2CHe7tX6peY36rFG+f+oDMNCRaBFfYLNj9dZd+OzVIXq/ldfS1lF5D7H3Gg15LR9ogYUffoR2j3Tg8dkCYJszsgRJngEaK9QfSBSyefFoz4HYsPQDnDywB+Vr1uNyMYCaTR/kbPtCgcj6hwDQUrGovUZVHlOs2Ik3r2HtBzPQZcBwDJv8HrOIy5aa+MEKpCTfRZDThS8Wv49zJw5j6JhX0Lw0T8F6n4C22nhW70R1SzD/1gwMfS9OVujY6CjBbs5fHrmBMPIPxcotXe90lxtp5WaVUOKRpLVDm0m41cMLhIUEI6x4MSQULyYrb60Jsn5Q5HhycO3aDQagCUgn3k1EdnY2srOy2P2jo6IQXLAgs7pQfj+aFAiMqwK/oWFVxJcfcK20p6WGVQXgZrdz7Vwj4PYF+8okIgcb00qSVVsoeJmyTv+N3WZHmeJFUaa4iZVQA9YqyJYu43wBofhr0tJTqV65kiE/dkx0NG7fTjRo2uiOn322Eo899hgiIiIN8bESVKu5gSUA0oC36VUEBDKkdtLYQCZByxeEW1q9LSb123duIzY2RoVQPG7bZM2g7/r17YsXRo7CqlUr0f3pHj4CkmW3DpCtMjex0byuEFHfTz/9hJ9//pkpsUiR9FCb1hgxnIjpzG6d+VNrqHcni3avXr1YmEWbNm34M5qmHbMV3y4ma/Uku9TwK4m69KfRIgJ1fMe+EYDbQxtQr3FT1G7YlJGw3Lx+CR+//Rob443bdWTCb4FiCShdpTojFXM4nbAzFzEPzp84iqP/7EJCmXJo+cjjKFqshOZKroJsWmiy0vhYqFy1msG9KTomBnfu3PZ9drmma685D1NUbq0dSDchxRkJNyKnJ3dx5OP10MWrKF+0kK5C1trXrFxSNi09IK/A7du3meVCt/7wmCxOCqWY7vVXZyqqpi0ASVHDxaoLuul6BtBsWvdkw2uHVNRi+q258/6Prdq59wJVODPNY4pkYiRSMwqWly5dZt5ZTCFr1ldY6HHy2yvJi4NKpSoylzQv0dExzBXR31P5bkoqF/Uxc717IIMhfxZtmT6Oz1VMijStu/o8T+X2nTuIi6F1QRZJkKangjT7gxeIj2dpjwY99xxWrV6NIBqvhvFi4f4iYrWN84mvpTvwJ733GT9fN/HZ6++M5LPRo1/EwoULRL5sX+AsQZvhswbWfMkTrdzNWfGRw0wVNchTZkJXNW6bp5OSbuPabzx2EatPMlJF2CgPtI0bLGJjohnA+Hz1Sgx6fiiL127Z+iHBPm703jJa9vJ+Q/KMAEic4Q4igwknL5NAmVJ5EeBt170vqtSpbyA9Y+cpubLlb6RFW1o5p7zxOlPWk9xDY4HFZwswLccC+6zwbnCCyxwLcG0G2bqMZvAwMHlbGUjt1O/UScQgfMm1geMUtrTIqUJ1atHcnpmpRUAXG6qUKYk1b4zAxp170W3KYjzaqCb6t28KF/Eaaf3MLMyqb0x+Utch8b2FLkj7w6ct7Dhw+gLKFC2I8FAK4VSs/Ob7anhRHwuyrhXKl8PRI0fE3GfMU63lsGbyOpfRcugzvSrZbh4vHu83hIUPLJnyMpo/9iS7a8kKlTV3crpbeGQ0Uu/e4fBEDZUQBgpd2cTrkJ6SjMVvjEH3YS+haIlSmvJWLtF0DcJ01NxPD38JyXcTEQWLrCv/CWjLWAWtLU1ATCOIMrZ3buBQFrKA3bx9BwXiYkSMNhdyQtxu3Lx1x2Dl5po9kbtWsXLzuGkVMPsKd0b3HXNl9fON8XO+HYkGfJHCBdlm0VCmz0qn9hv06AuuKS519Zq16Na1C+Lj4vxYsSXUNE/uRoBuIDwznKsuGBZu5xaPxXP60azoMYJtTSgw30f+XrqcCxdxjQRNZxWXW3pGFvsJI0WTWl7YER8fh+s3b2iaP+oLKalpWLVqFb78+mvNZZxv4m8rkG2ycuf6+qyKPiPqbzCgvqUCbuvCxsKt24gXKQtkCQkOwY2bt0xn84mKCAEHPvccI0Pp+Pjj+uX9vUY/zKGBPjoVcr/77ddfmdX60KFDLJ66TZvWmP7OO0yxZLjWf5SyCLiv/nwNuj31FOLjC+Cjjz5C7969mRtRixYtjHhFe3bZ1kL5wyZKDgCYtlOAbcY0LpY2LV5bKsRofDGWTz1iRS4GDlsQcuw8LtsVFYHoyAhMWfwZc2O9fvkSjh/cj5P7dqNs+fLYtHYFTvy7F/GFi6LPqPHYs/UHlKtSDfWaPgCX08EBtkx5YkptkprFJ3KKu9NzbwNx8fG4deOGsat5fVnnLVQ7/otp7pb5J3P9CXPn9cLGJSVtfNN+6/7jeHvAkwahRf9b3FBb8XQLj/zsEfMgvfO58+bj8JEjTGlDVlOWO1az4Jsrr8+jeSqI2cmKx45U6IoYfv7ZaqJQi4pc8iiiPnzJlCs4crdqe/WPN27fwar1G9D9iU6Ij4vN+34+z+rzh+l7fyDbHGdqXGvpux9/3IyH2rY16jVybYf8FZbaSonVliUmLg63bt4wPkYujxhIuaff5wdoyxctiZbYQQXtap4OpnUhPlZZ+/m8cOPWLQvPCH3+q127Jrp164YJE8bjnXemB4x8VcI02Sc12UDputpymNcww/0tlP51/edr8ERXvi7Iexg20YRz576P7t26oUTRor5x2RJEy3gf7TudkVq6IvtYuTXyRMWd1wf8mJSB8g8FwJhlID7R22EjIi0fy7YdGanJ7CrBLq7otNlJ4glisuKN6zfgcjjwwfx56Nb9aZQuXRYlSpfW1g5LbJSPEkh2BVIY2zxeDWjfuXoZn0x7BV0Hv6iDbM1FXLF8a1ZsY9wubbt37WRxty2aNeXrAuEFAbIJI4S4Xey4WSmiuYdrFm0ac35AtuGdSJlVVYSY3pcCSI0yngXg5qIs/1Ow0XEWcQVsm1cTsS7S8z/cuA7a1quBNT//gccnzcfD9avjiRZ1USwuGjcTk7Bm25946oH6iI9UshCYdQjMyKQqfS0EYJvJiq8oghZ/ux3Dn2hn6r+q0kEWY5iWTVFy0BxSrWpVHPr3ACpVq6EpU6gpqLsHeaGw5hPo5nMR9RMthbnHi5DQUHQZOALrF85mdyQFkwz9o9tGxMQxb0FVjlHBtXy8lMQ7+GzWZPQZ+xomzv+UeSzr2VxMnCbMaMM9eClffUJMYdznGG11ATCjDHmKRZyRCSD6gDgvkHjnDrMAxccQnT0/n7lOBLtZXmQt5RdzC5Uv1GOwdgq9nLHTm+qiJn3XO4WpvjLXsDpwDFUWVhcfq6A/q3jewp6V5Xrh4o9w4N9/mXVz4stjjMDZr/LCF+T6ZRXXQLa1SETpoy5fu46SZJHSnk9vZw62RdoBadHWHl11w5RCrBBEpIZWA9m6RVu+z1QNaJNApb9jWkRuEthU3vn8+fPx3OBB3LVae0wj47gZZDN1hwK2ZVtZAu+AXQTVNpJ/m75jO3/9hpc7iYl8LJiEaCKIY2ltZH21OZKYrO1YtHAhXhwzBhs3bsSECRNQvHjxXFdTA3YIYOEliwARl+ls+C7G9E+At3Jl0iSqirX7a79YtHgR9h/4F3du32HPRsLlsk8+QY9nnmHAixjJDWBbPiCrjpW2noNqFWzzmsuRr0f8kqtXZkYWrl25jELFEhBEMUQEsNl6zcnzZBoV2gcHhSCibFmUKlOGE1cD6D10lOHu/V8cZxAgfHKHarFqxDbOLRc8Z7ZuTYgjcHHrpu8ziyk4F8J5y8KGlCkveUCKlyAnF3QkyJaWGNhwMykVBWMijZpxdYG2uoty/Padu2wsXLp8mVnzJk6cyOal/fv34+jRo8bfsOe1cv3NqxWsgKWCMKTSRe7VK6uKTvU3/gr72qAN0pFKgFbthUs/xf6Dh3En8S4mjh2Zx7Pl9bx5nGcBsjOzsnD5ylWUTEgwrnk24KeffmYhPKpu2UpWuNcZQqa2MsdjE9C+feumxRNYu4Lrwpa1IspqGQ+o1Sj0KeAnUwVdPf2NRqilTdD8zvS+2bpA3h1KoXmBwtv0a1rMeV4buj75BOOFWbFiBZs3DQ+Wm1XbhADMTh6Gr5U1SU+yatFMFn/dS1ny4WIcPHCAyY8vjZtg0iHp44Z4cHb+8QfWrlmtuYmbXcJ93cNV93EJuCWTNd/Iw+Ly1WsoWaSgkq3ATD4rgI02FlQgJuZE1cNPyrQSyGlhdTJmWxgjUgTQdjpg82TB6w1i7ys+NgY3b95gz0DknbNmzsSbU97E4o+XcoAgx4VQyPyvPJ1cDhuFG2uEVj+u/hjPvjIZRUuWYYDJTHpmtGLrsbJyy87KxLQpk/HZZ58y7xWOF2L03NjeHIEX0qyzSihAj8doq/KwESxyZbEEl8b80YZ0V0Z3N5P8Jw8qylKGAiX5i8AzxhXECH8ZzBEKYDGbUbv1aNcMXR9siC1//YvXlm1AYnIqUtMzkJ6ZhQs3EzHt2S56/zNgX8nfItcyKy4FhdRUbRe7DScuXsPt5FRULFlUX8vFlpWdjcs37qBUQnH1hsreazDmde70OL7ZsAFVqtfQQLZdA9l8JmRylYeHOkiQrXnpCbBduFgJdBs2Bls3rMbRv3fhzx+/w8M9B6JKvSaIiIlF0p3bOtA2WLX5nlzFF7z6InoMfwnR0bGGvuev87NMbPzVBJSjO59A2wLMGd+PnzVGdRsQnw3fATducbevArHRGrM2dar4mGj8ces2m+h0S4Pe0WVqGa8luLawaJsEA3nc4A6npG5atWY9Pl72Kea99y4qVaygVFsKjb6NYJ6+/DJR+rSr3lZUenR7Ah/cvo0eTz0pJgoTIPf3t3JMzwkprNfa91LL5DsA5Pb8hKk4feESpo4egsa1qxqeyPD+DANOPy61Z7rgKmM3xWJBi4thItO367d4PDsR1qmgmizax0+e0tr5+s2b+PXXXzFq9BgDsGZgWmUYN4Fsbuji78UsEwaUC5eZ8WWIg9osKpi2uI6/47Lf2Mh6y63WzItBKSRg/XHzls5YrLUtfwKn04G5c+Zg3/59ePVVAiRZjHm/Zs2aqFq1KrMAmtNiqY+q1oqsJ5Ri68iRIwzUEOM3fb516xZef/11vPjiKLhdLuMjqH3xvhYbejz9NG7fXoAePZ7Wrh8aGoply5YxoE/x2j6W7QAESSPYNoq7Knp946WROH/2LEaNn4Qadesz/RJ3xeMaV97fZDiCwgugpMoxF56zUY9F8s0byif8RGGpo7EgSUOodnFx8Th14oQ+p8n2V2Rstbdp3dPUNux6wqLGwbZMqxHYImJ3u+D1ZDLFGRdQ+H7zvmNoXLmMrlhTtOJChWEC20ptxZhn1gkAGzdtwubNmxAWRrmzgfoNGrB+ef78BZQoXlwPJQoEU8s1RG8Vo0Zei/O20GCIsvL7rfj4y42YN344qpSVqaykhiPPJtPFKU3uVj8rwrgPMAd6PNmZhVn16ErC1P+q+K6dsgwbMRJnzp7Dm29MQqOGDQ1rKaXii4mJ8REPjMD63ucH8uCgEmuaG2Pj4nHm5En/Te9nnjMetD5J6ykBvFfm5hugb7UuXrPVic8IjE2cLD5GTEbHpYykK2C92uc//tytazDEBMCnBNm/+XdvvD4JnTp3YZkbYmONbej3mSxqrklMNuCLz9dgxfKlmPbubJSvWEk5X8pcOl+E8Rq+n/y2tfJ+1K+6dnuagWza+yt0/qZNG9G/f38+B5FhwCT4M7JLH3dx1ZJtTBclQdzzE99iMtKUEf3RuEZlxXpqzmDgT2YW677mBcSzq+jGCAVoa8Cby03Xr19jlyhAikxm0eaAnoD2cRoLJDN7bChXtgyz0F2+dAkFi3CAJEmE8xqL2reqmEl28wAGA7mOp6Um48uFM1G5TkP0HTNJJzfT2MVhUi5z93E1u4b8e8mSj/BMz2cQFxONE0cP82dnHrCS8Myj4wUD47gxfaMuC6sKUgVkG1z5TSR1hk1dsvgfKzf8gA9Xf4UPpoxD5XKCp0KuS6oRUubQFu+ejRHh3aJl8xH+zqx/CGOWlCZojXa6yMJdGw83roXUtHRs3LUPC7/ZitOXb6DL6/OZkqVmmRKoXT4BtcslIC6S0tip/Z6/UMtsUIrMzfsosHzzH1i/4y/MH9VXVwApHmxDpn6AM5evYcrIgWhSr5YfY5RXu2f9evXw9vQZWu5q7snA2cUl8JZu5A5qNwGyg9TJUUy3yXe4kvWhrr1QsFgCzh4/jDNHDiDIbkfS7ZsaR6VUMqUmJeLPn77Hnl+2YOysDzFp0Uqffqd6fZhbiNkXxesiT8T7C7Tpgjnc0qhbQaWA6iv4621rspqaQafXi+s3eEPFRQugLQThwgXimFWVuYJoArNCi69auf0AGR+XXiVmW5u85TkKyKZFavfff7N4HsrvW6l8OZO0arEaqOls9BrkMp8Z20E9v3RCAmZMe4ODP++9AGzle0MctumdmEhB5CJUo3J5nDx3AYXJVc3Ki0G2t+KyphdDz9YtWgYtrdFdSs+HbceV69fZzwsRA7tCwEbggrlPizaeNXMWRo8eK96XLtDJaZSDHcXCrX5WwLVa80DAhc3u4AuqWUAz9Ss/EoPPcTXkQY4Fs0W7UMGCuHL1ilAGSI5Ko3BFpWaNmvhkyVJmASQLBm2rV69mIJkTNdkM1hAC1aQd1sjXRClRogQqVqyIxo0bYfiwYZgwcSKLqyGuAbfTpTee8hT/A4zNrkvp+WZMf0e7jTweFRnJWFdJiKK82z169NDAtlmZq7WRSWVM2lKNZkB8IZYz7UiVqtVw7sxppqygxUB2a1oMpFJH61vCbYkrcoz+O4auocSJSuu1FEJ0Ahjg+vWr7PxChQppC4ClRVuxuGo1F33CkNpXsVwbhqeSCk3mEgh2koUu92IPjYQnM1UH2cJLZeH3v2LJ2GcVPgbV9c40LiyEFirXBbAidnoJsmVbUH/9+OOPGfN+7pwD+j1pTtfxoxSAVE4P3r55YaXd/x5lLv8nz19SgPb/uAhhrUxCcbw7+dXAkN//oFDKqFOnz/DsGEqh+YWRbeUhrP+XKeL6NT4WChSUXla8xMQaLdr+cDNvMt1lMK+inhJQGAUBpcBy4mnZATjQoyIV4XYdbCtylQwbImWzVjsvrQsFcOXqVV/5y8BAzk8nwZMIWOfMnq2lwcxVGSnsbeZ3po6Rf/b8BZfThbOnTzGgrQ0nPy/a0Io2/yDb6p2Zf0OpW6e8JdYF49JguBFlKQgLk+60ysnyDzl5a/KQr9XbQJImyLVqVCiDk2cvoHBsFLwkG4vvdCZrM6O1n9bwAdQSfMvPvt5/V65cYT8tHEdW3Wwt4VB8bDRX1jMiKDuLTe7SuTO++forDBg8VFPwBDp7GDO1cDkqmEyOeZQwZxDmz5iExu0eQ52mLZW1TQXaOsiWbuTSvV3dZ2Vl4vvvvsU3X3/N2pR4kaiQB6yWM9ubw2TVy9duWKTxUvJkayDTF1Aa1yez67TikeWn/Ln3IFsXTpw9rwNtn1eurDtSuarc//9j7irgpaje9rO3m+7uFsQWEBQBQemQkpYWAQEDBKUEQWmkBSkJBURa0gAMQEC6ke64fe/u9zs1J2Z2717C/3d0mLkzsxNnTrzP+7zBAg4La1E7005PV61I4aGkQ6OXn0ejas9ZHfN+XDz2nTiHvcfP4tutv+PG3fuICg+joPvp4gVRpmBuZCEm5rbJTsqo1+/cx4+7/sb3P/+FGs+UxcoRfWkgUtEOxdxO1qQvnLp4BbmyZ7MsM7xbfnroWESyz9CgroFBVsRx6atN2oWHgmw3c8zmvxSbrJOTNnn7OmsPmUksrEyZUfaZF2kKsItnTuLKudP0+29aOo9GEM9dsAgio2KoJWTfz6fS7+Wk2BHjvTX6KdVE2Xcu94X7ISOlC2gHEHBBHL9VYGcJaCKXthGxzzJzNs2WddAtmItsmXnH4RNMjqyZcT82jkYDjyIDpQWsOZOtsty8ccgiQLTcVoG4IwuuNH7S4Ed/MggnT59BqZIlaGe27qdc37yf30OYVxN8WTcPxmCbx+1B0ryCbEUL+277Fni3XXM9yIdT8cLsyxlTGaAcALYE2XK5co0JTUSIYCMKm3xIYBcSgI408KvXruH48WMYNmKkEgBNNxkXDLaaR9vMG6y9GfcNSbOQSS/VUOCo7/6AIJsU0RekQAVL6XD/fizrC1HRDGxbA7ZiL8xLpowZaHRHsujfha1JJGfiTxzABzyy6MKkrhQbNXIEVTgRM3FDxf2Q4rOP4sgQ6sxhZEQEFi5YgE8+/RR9+vShEdhJwB8NbItrmMIkrxMyfcneKEVLIt6RdtOxWw+079rDMg+nrC/JPkCAtOXOzYNwWFXhvR1JbamIeCnZbTHJ0O0AF25cVYG2/H3WbFlxg/hoc+WJ1RZ4NGPa45T3Z9scgguNLWe+mDzBmW36WyZg+yNQBURlgOfuNZk9ICAAvx45jTIF8yAT0aI7mN/pSEdd6+OrsO7o1q2b2uJoXZDMDjt37aKWGyR6bdpNUO2vBsi22Gzf302U0X064sS/l2mQmv+mWJIh/tflnR7d8U6PHrZHIab8JUuW9Po7b1DjQYB2lmzZbYw28dGmGUF4+zGNxk0gp+5LqwhlmF9A2++XFCcS31rCarFtdojn21Uik1+/IRhtMi/IZ8mZXcwLsYiKJqyVg7+/2HAFoFrVqjTewdUrV5A9h2//Qsd0rUZr/HjoCJw5xUC2eCtLpLLAuvq+8tnTC7J9fjt+Y3kXOcgTdxPi6uTwhprMpQVGU5hQyWqr7GgqerVqiF7N68JDgkGmJDOArbCottRRNq2r2Nb9sjX2mtK8gXClBjG5gwTACgjElSuM0SYgnzLaXK4hVqHXyLhJA1Sya776ysto2boN3iZA20G54auYIJv87Q+4uHvlX3T79Asr4riVvktYbSnbursUAzs0ZgqfB5ctXYJmTZtxv+8UKx4DYe+tnNnuVOTIJvDCfUSFhehRxtVI4+JDKCBbujVJeVPORw5rh9r7/MN3ceLcvyhdrLCXWtEAkzIxm4Ca+G6LwGks/7m8P/mmKthk57CPJVJpgaYirlyhFF1EG7wbG0+B95/HTmPept9w614srePoiDBkjIpAhshw3ImNpzmyYxMSkSEqAnVfeBKLBndHdFQkt0RVMgVZip9AvPtWI7zbvjlcQcG6Ut1WTx7ruUsUL47jx46iRKkyLCI+xZk0rj6VyQIJyCZWD3wcofI8uZzy/mSUu3ODAe1MWbNbPto58+bDKw2bY/4XQ+k18xYqRlN95S9WHNExGVmOdy5jqUH31DRf7A7kvjprY+lAKNB+1Iw26eQ2ZlXBD8KMW2VP4M18Rh98yMBAXjxzhhgNgObKxsDGxctXULxwQX4/Hk2AAm61wQpTKUM4V0G0ylxYgpYCvFXtkgcICQ5EqeJFZXoxpYNZQXKUt9WnoTSKI0BJA2A7WAY4gmt1AlHqXs9p7h1kW78T52jmUCLoh3F9tR6UmVH3aVFUlbZFstoXr1xFlsyZaMew/OpdAdRkkEyaZCCdMGECevXuYwRAE2y2CqYN8K0AbIt5VD6J34y2AZDlQR/TmBpQSKku9VzCaNO+QKPLKgJVDsbiXLp8GcWKRqno0WAhvN/eekke0C+C56KWx9QLqNCG9IVglCKCtLdzHlSKdqpD9fqaAkF5Z+WFiZJg6NChmD9/Pl2TRcGddpHbwYxcnChybatMtxoViPyEtDkKwgXI5tcTbcKsCk2mEo9gA9qmXxrbvnr5MjJnzkwzMFgYFcy6g/SFuNj7iNTykCum4HIPE7xNJlth1UmuShFcTHiEhQalLVC5IqLp3CC020cvXsfIbzdg/kdvW+y2mmXACXTLPi5cKJgVy85dLDUcsWign4FXbA4OEEh7JCbkxAzNaxuy5gj1b+McU9umjoXaeMgqkAQaKl0on9IO/6Oi3k679X/8HLToQhSxKCFWML7OfligTeIkENbcBE1kX3JSEmJj7yM6Ktqhw9nFAofD2tosRCGZViFtN46n9STpQUUhbGrGjEy4U+/MZKYAA2yz+Vi9Jml312+q84J8WGFZcOnyJRSLKsZfQMzxjJRQlXBk/dZbrbH6xx+pJZAU4Lwga6NOLBUkvy5xISrOFSy67GdeyRiF/Wyu/n4f7QHVqdEF5M6dmyqJn3/2Gb7bUMNoMoyz7KSZHxOmlFiApaZQkO1JSZYMKk21pgI7dRxRrq/Oe5p8pJARZLxMFYCbXJ8A7lR4AgNx8dIVZMmYASG0+SQzyEGCZGbKyGWku4jKkJkqCUism4iIcMTev4+QCIPZ96M+VZDtL9AuVrQoztyK40BbRA6XgFpjtJVc2eZCaui75cuwbOlSy8rg2rXrtC9kyRCtWR7kooECOV7In9tLpHGhdFJdd8wGJMd6tmZ/0zpWSSqZ25bhhZAglCZMtkk4OhVFESV3KMShIRsLcEmC3lFFHH1Uo69qLrrq+7BjGWKiUe2psqj2VBn+U5ZH/H58Am7ei6W+3hkiI2hcFRJYzhtJJjIFifmdKH/oIoC3S1mL+R665EFKaFgYJXu011dkFBEYz00DozGFDZFThKAmjJ9vXb2M6IyZ6FjErAsZAM+QKQvNBJWSEI8nX3xJC4BmpRCz2qcZG0COxmY1C7Nx8lZhpA4erek4S01jfFkHjaf943sD2QIkkojjJLUXibqr3oMkbSflxKkzKFGIBF/hwMiJyRbA25J05czKJitldFciy9qANz9uA95GI1H0rOKtnIPB+SyiEyj15gtgG/XmG1zLbcc0YV5BtmL2ZAT48BlVU9SFy4dARuvRieHSzUqPnzqDojQXq27KQ6JZk3Ls+AkagXjo8JE06rOdzeb6AStQlT2llzXQGB0pyB+fCzqIOElwqkBvbwdewblSV4TRJsJUIBm4lEJ8rUg5cfIUncTsF+cvoQritvsI1JkeZZB5vjI7+U/fpHEPXxOTzmDL3fw5+PuQ/kjSfvXo0QPbt29H1apV7WBbndzSANtMkWYH20LQlP7c/LtataSbWrrMf3U9FJ9Q2GhigmyyPn3yBAoVKUonHCvdBE/bQ8rNGzcQHR3NNL1KlbBqkaFWrHuLZqKY5tF34LkkxfOTLX8YbVdEDFykrboCcOLyDfSZvhxfD+iIrCRVo5iMCRPBteCW+4jhC8drQhsPNm3eTH1+A6iSVzaXIrz9kyj7x44f50Db8el8i+aa4pILU5aC0fC3FHfXIs1JBcx/WSh7pd3yvwbZ9tsS/2ziWpHW6Q8zYhA/7AKFitj2E0Zb+HBToK3cz5y1nR5KCX/qtSr9MR3/dskS/PDDD8y9JjSUz0keqhgm4JuYSZI66tWrF0qXKmVFnWdXFmBbEfAtaMMYbZK6iabnUkrRIsxE9cSp03JeSKNtvvD88xg46GN06tRJOZ9vKh9JwwLKWCme2gLxXoq/YPpxFPXNX6tdG316v4uWLZrL9K+q/Oj0a5u8JGQhYo6cooNswmYr+ZsZwJMEBWkDicnJOHflBu7ExuFebAKSU1ORMSoSmaMjkSNzBsRERrD2YPlnk9zBUlFJr5lKxlJynyAcO30WRQvkgSc1CS4EMxsklwvZiTk1tf64Tpk76i7m8dBYLQcP7MdTz72Qrjo0l+TEBCTevwvEGEp6o0SEBFog2ga01UBofJE+soqyGcDfe/egXNlyCAsJtiK/E0ab9gVyEql3/m0EXjh+5hyK5cspvwFfGNtryDLKvCKMAy0zZZpVh/xWYmpyK6Yb45l3LASs4hH1gn4U4bKkMuz8e7K2oOB6zuTSSOjKu3i8El/igdT3ZUp3ug4EYoJD6Jjl8GCajG7N3Xw+Z/M7B9nE0sIC29JKVaSn8zi4if7zzz94b8D7TnflgFjm2Gb+2x4KulnUeFbdpDounT1Fg+wxOcrDUrl6gIw8DsW9WzcRFR0tZS2RN1uNdh/gzGizupVyEX0+ArI5rgh91Iw2ZfG8jqq+gtH4ANl8mwT6YP4W6rlA3pzZEBkRjqMnT+P1VyorWmAl7QoF0d5NwK0/6e1FQxaCtD/Am7MsWjA2fp4yA4lOml5BwifANrSqUpvGj/kA19a1bWw4/ADZuhaX+Z15YXmsF1ERnjHAmOy11YFlpyPL4ROnMG/JChw4dATly5Yx2G4XTWlEyvQZM9CzR08qmjgBarGtMdkGi60CbKvmiOk4i7bg+5tRYKGep7Y755I2yGaFAO0sDml78ubJTZmRo8eOo3atmsqFHSJLOio8rAd5sGJq/R9pUSU5x5vruWbU/crfZGv0qFFo2qwZKlasSAGoE9gma6Ih9QW2YaT/EmCbstcauJYDsNLrtGfyDrIlwDYZ7RPHjmLJwgU4fOggypZjKTDU5pWFuxYQoF2QpG6h5kzCIoaLwqJZqjoYQ2tM78tN4NnbuFgqNHgQ6g/QDieMdhAOn7+C92Yux+x+7ZErayabD5fFZmtmZTI9iplBIjXVjfv37lnKNbX15cmTh/YFEgmf5uO0PxUHAn40VWsg0K14JMh2cp0RbZGMK/p3efxFVXT9jzC2g+KZpPsjwoztVKf87um8HekL3y1egKOH/kHJsuVsx0nUcVJu3byJAgULeel8+uOb4DutoZkIYmmVli1boUnTZtbfTp/n2LFjmDRxAm7fvo3hw4ejUKGCGptNRhtmPKkAPBefFxx84PPmJvNCBI4eO4HaNWsobJqY3OxzAXG9IK5XTsX8PmIsUU+wyD78Py4K50EsgoirSXx8AiKISbFXWdV+Ec0qU4DoVLHmgJuAbbK2zJjdNN3Sjzv3YfPew7gXl4CQoEAUyJ4ZGSPDER0eiqCgQNyJTaBRnC/cuI37CUmIDA3BUyUK4tWnyqBsobwIoGa43BoolSktD528hG/WbceBYydRvkQRCvItmZXISBxok3mhcJHC1PmJvMNTFSti756/0gW0tbqkaw9Wz52KJl+OSPMnEcEcaJumuaqftsVm6xHGVcD9zdyv0avXO+w7cIb6+o0b1OKR+qEr5vwSL5xFnUpPG5HGDcsCFTWpYNvacHPW1F+wrV6PmX2nrxhsNl3L62hg28BJ7LYOMrl1Xb7m35DNW348kTVQKjneFZNxpkQnAJv8LVltktOdrjmr7eFzvzrHk9sTy4vQkFCkeNENUEArgqQFMFc9Sgzw5ezJY1j/3WKcPnYYhUuUsczGBRTMkImNl7F3biLQVVAH2jbTcWbNyqLkS5DP6kyMBKzeRCBc8nwhNBz6IzUdZ/lSvRZvk34aIJv8T7S1xOTFBHDkciULF8Ch46fQtFt/aiozbeQgoU/VtEaOwFsVSOifElizuSgt4M2OuXjObsWjUX9pBSc8kNzji8W2gWyjQ5kAWu10jsflgMMmERVcG0E8KMjmplAmXWx0VsuaQGWp6VkEzJMtntbAlmpJvLkL075eiItXr+HI8ZNo1qiB9N3m1yXmsqQcPHgQU76qJoNQWYsSZVwxKbf2GWZQatWL5usPo00HG2sEtP6xm4XLQ7rU56ORENNxS6BSJHjiH1OiWFHK5Ddv3RaZs2TG1InjZSBC7bpCyniUopBpvfAgJS0FgC7Q2UC1kxm5IVgScP3ee+9h9OjRVJC1LmcIiFK8VlCoA9h2GWbkTAxWwTUfgH2oC9QRQ2WlLVZZmJArgsbcWTNw5dIlHDt6FI2bNFUtrWmRjPZ1NvCrvkOwg2m5j5uR80mH9g0eAI2CbI6GyHMSn7i0SpzbhZ6TFsPt9mBWvw7Iky2zbkamBPARYJsGdTGAtbpNlGp79u5FZFSUTdPOPpELxYsXp+bK+/f/TeM2TJ00wbuAzMc0fZ/d51ITomnUWmEiaHxM+vEfdLB3KvaxJF3FanxmQFKXn/dM6/KqItH5B1euXEF1H4y2fCqHcUkB4U5l4ZwZuHL5Mk4cP4rXGzY234AGQyPlFvfdTCutl3oB2/Ds5Q39CoYm+hP5Q5XnlfsUK14cEydPwbmzZ9Gje3d8+ukn1CKDpm7iowxTd4l2xyRs4l5HAiBaAYYUmaZE0aI4fPQomrfpiMyZM2HqhC/lOWoEcgtFgOax3bnzN7zwwovawMUCBrKPIaYVS7ZRmhUbIuW3dGpxvmYK2xjpf3PUihxvnUZeaQ1VqXJl7Ny5E9VfrqaPyGKAtLINqL9V/+TWLoJ4EIy2ANskGFpqKs5duoYPZ39Hz33j2bIY/3YjZIwIM4CeOl9LkEzA9u5jZ7F402/459wl5MqSEW1rVsIL5Yoz5b47CNOWrcWlm7dx5PR5vFnzJZJ3U5O5smZkyq5rpC8oSsIyZcti2Xffa0OuN3WJYxv2gMZ1SU5IRHREeJrfJTwokEZkZpmy7GBGzaFtgWv+KcQ8SNL5Xbx4ASWLF6O+2dQligDt6zdoai974DoPShbKj0MnTqNZ7yHInCEKX33UU484Lsgk9WXF/GOxyIJV5nnuqaWVqDKxjyiyyY85GNYqlseZUgG4U7HYOYPFFm2Czs3imozZpsp+B6CtyWc2Tb8yAPFzXP7ORZb7pxkNXwnQZ833QQxUm/O/y0jhCxfWrd+Ap595xpLPZTYgQxS03kUGaqVMtgv4YeHXuHH1Ms6fPI5qrzdg8oyoUngsBSzJpU3aHZN5dEWOFQlfbAt3OivNMx/vuFJdxOQRloD+yEik+HeWyJeqoxqlVniNmB8/TZDN1vGJCUj1AuhKFimIg0dP4PylK/jnOEnt5JT7kHVAEsCCRB9U8x7aBCoepdDcZr9nqQLY77mwZXRmS4NmdVgnM+p0LN6YbBUQO4FsISwa5+l5s41tp/ewllS9bqzomTznoDC/4QIp9UXSojuyCYgFBFGDgjixQ2ZbYU26X48uKFOiOPXbKFG8mD74cZaLlKrVqllaMRP/W2biCpttsdsCZFvnijzIbBL1KxCaajrOI+BTsd5CMw7svZILXE5wzguZXNwib7xRPyR4xMFDh/HvhQs4dNhk8kxziocF2WobNaLWP8w1HS/hcG3xcf35vao5gQevvvoqTp8+Tf3ytFo0ZCttre1TfXm4mZEFiu05Ptlx6W9tW/hkZTcRV32F9L/f7fMeSpUuw/pCiRJcEGHXIQuJFk8KaS/imtZzi3dQWHPLH9t6X+V5refj9w9wIdwPNpuUa/fi0bfpa5j9fifkzZHVmmSZllsxMVOCpelm44qCU/lIGzduooGfiLmtao0imkCJEiVx+Mhh+v6HDx822og639jHfyu4kRmdVrBSdGwTYx0f11RW5LEUIWCl5zcOE3F6nk8bi3yd4wCyjZ+Q/laIuvukfU+nO7p8/NW5Vx8UK1mK5i0uUrS47bdunjEhISFe84N+ED2I03P5A7LpuS5lToFcszlILOwT5ctfAAsWLcLozz/HKhJNmc4hMggTE+4lgLLmBcUKRCwlSpB54Qj+vXgBh44o+eW9judAz549MGnSZMf3t4+NXOg0xkqzwh7UsuNBQbYoNqlKs15jS7Vq1bB12zZVbjcsM9QDxpVVeUvz0ZZ+2mT7t/1H0XncPAxtVQcL+rbCmy+WQ4bgALiTEuFJSqRrd3IS3ElkSbTW4lhEAPBK6YIY3uo1rPyoA/o3fBkbft+P19//ArN+2IyUhAT0bfYaShfMi8SkZBTPl4sCfCGLkfEqlQBvgDL4qrBDAste5cEErbd0qnALXKsBQtmeo/v+QNu+H/n1TcKCA6h1oBrsTE1hyUzFlbmUz1l0juOfZvOmDahduzb7W5Fh4xPiKV4QY7tktVNRsnB+HDx2CucvX8WhE2d1OZbLth7bQr4nMckXixz/tTmCzwt6RHN1UVOIqUoVH2Oyk6WntTaOq3MpjYsSoCyqz7SyWOeK3wXRgGXeF3E8BK5gtg/kb75N1iBZZ8h2ID/OTcc9iq+2hzDcgtUOICw3sQJloDvF7cGUqV+he493LDlcyO5261NDb8BlGtJuWnR5BwWLlURyUiIKFC4mff25STgNaMjdHbQgfA7tkS5abnddTlOj5YvzI/yIYZNuoC0ZbT/AoiaQ+ALZ7HjdV6pg996DOH76rNE4PXi6XCnsP3ICSyaOxKoZY50ZCQd2ggJuApp5h2QL2aeAcHPbBN5eEt87vocqBaZn0epIry+rzrT7qPfyF2AboN2meDCiM1p+RnoETZEqQT3PWhTgLQRUzb/bjMBpvYzsQfny5kaZUiXon09XrKgJFATIEsGEBKXp01fJm21NCEKIMfyyrU8iQTZVk2jnscXf5PMUPAi9oAaoHX5vO+77Hq+/Vgu7//gLJ06eFBewjj1d8UkcOPgPzVv6/ZLF/KiI7G/Up2wsD7iwdkb7Ab/Hwy7Oz+jreb28k6XQMn8ry6effoohQ4ZYNajhBa240gTbgnW2AWQFgEtmWl9UcC2AuwTxPMKmQ2qJfPnyokyZ0vQJCeOl+q2RZem3ixEeHo7q1V+ReR8F2DbfR/1beycu3BgKBXI9f1J7kVKkZBmUKpxf8dOSE74E2WTm48Bbyzqgm4yrzOkff/5F86b+/vvvOHHihO1TV3zqKZw8cQJvv/02li9fzr+kIdxY46QqjBmxJ1SQLYRnNaiRFkhHRHV9nGA7ncXqJk5g25eA58/9ZHA6yXQ4j2EECJJ0gb6vpv9hA7UmwOPrPHnyokQp1heeqPiUdS2x/LB8CcLCw1Gl2iv2+3h5jrRAofqW/piNs+cnQXuU6ZZ/CnWOofMTn7WiYzJg/oJFWLduHeZ+841Df5Dbr9d+jc0Lp07bHv7pJyvgwD+HsPDrWfh+8Tf2B1ODJPGxM3eunMieLRv27dvnUOf6GMKagDIeavWvhohNP9h+WJBtvSJ9TUctLD1WrtwTOHDggHVTPVwk3+f08NZcwwkHDujYGCFB9oKNv2Lyqs34tn8bFMwSDU9yklwIkE5kgJouyn7rGD2ewPexdaEs0RjSrDpWDuxAAXr9gV/fjOnwAAEAAElEQVTi6vUbKJ0/F320Z0oWkubr/DkWrViD8LAwvFrlRUsOpG9L3S1tb+2jLnnN8Sq9fukCfvr2a7/TGRG3IwZIAhT2WvHRtthEXXGtzos/rFyBhg0b8mcW38CNN2pUx+6/9uE46QsKEUSUoU+VKY79x05h8agPsOKLQZocasmwqc4L+56qTCtAuINsqyhcLLnYNl8oAdhsRQXV8m8zb7f1t1BS2yzF9IUCaWOxjiv+1CDEqdOigmoKtkPoGnyh++g5DGyL3zFgTRhttjiC7QCWJ37ajJlo2KgxDeIqmGwzhpIMaqbWGB9xeJXkzJ0HRUqQLDhAqfIVNesJ0ra2/fgdQsPC8WyVarY0claObsuVIcD421gc2jBRJj0GoB3MN7wL5fpxfwqbkRq99jIyxkRjzrLVNoryhSfLIik5mebTzsyjDGqAzRF0+wDiAnSLtA2OjLcJqs17OoFtJy2WH4vG8jqAYkNgVEG0I8D2UhdeWWyVfTY1dYRBJoOTNvjoA46qFdQ1ewKsG1o+FSg5NJNdf+5Fgfz5kDNnDil4EEM6twfTp09HhQoVkDFzJqWDKmutZmV6L5XVtpgGzaebLX4z2qq/icEu6IudfUhraVi/LjJmyIC58xfapsTnn3uG+rWQHJokGIja1TRf/0e0SOEsvb9NC0+n8VtjiJBji7HfvBE/jzx30aJFqX8vESS9fkZL2DfAqSWMK0KkKYBaoFnVyPsIqq8CXBF0Q2WiDTacHPvj990oUKAAcubMaQkbJMr4pYsXMG/uXDRq1Ii2FUsRoPzWeg4NXMtAIOL9xP0Zky2FHn+BNkLC2eQrJnU68Ypt7r/Fte8yL6yTgkr2mUuXr1C/ykaNGtNozfPmzbM1q+eef476aGfIkAFZqBmhqdD1PvargFuk5FHHL82Sx8ZOGIpOp8ausn0q9WeBWxVd6EhDM+rzCwwr5WHwv/Y91OdVz3H+aQpnlP26jeNlnC6s79v75+/Im68AspHsC8ohYtmxdOE3qF2vIQWu5s9VQEj/NtG+rxrmPw5MJ9D2tsj5SIJukpd24uSp2LVzJ5Yt+471chVs8+2G9euxeWEBnxeUc6x54QrrN3pRFPSa3AH06/cePvvsMy/t14nFNlCxsX5YsOyrmCKDyjdoU4CDqpYUoqAnAeqsKMeimBY13u7PxxRptSfloVMXLlN/7G96t0J0SBD12XYnJ8OdlIzUpCSk0nUyUhOVJSFJLonOi5usk5IQkJqKjtWfxZzerTFh+QbMXbsNBXJkRY4MUfCkSJDtTknGnKUr0eT1msgQHanIqOzbEH9Y0k6sV1f7gwOwYbvZnp+WfYPab3VFZIh/3qbEdzXY5eyP7QyydUV2YmIC7t+7j+zERUqM3XxcblSnJjJmiMHX337PZWQp675QvjTFC5ev30RmmidaBEJzIohUFpvVoeYSIPY5WXB6Y7e1uUfUf1oWgYqAoAFwYarN8lLTxQLcXHnt9yKV4BYID1IXCa4ZqA62LYy91kG5h4BsAbYtRpuAbRJfQIDuIAtkb9qyBbt27UbrNm1tMZXktgK6+Tgp6k4dcogcc2jvn8iZNz+yZc9htTUqW3k8WL9sIarWroeYmAx6DnehANKYbdkmhTsDC+AHhSVX9ge4EPY4GG06yAaHecGLqpDvx8UMhXt4aCha138N33y/hqXFUISbk2f/pffe9MtuLyDbafEOsv0G3QoAtvky28C2Q6fyd7EBbK6F9AXi0wTYTMMnmXwHZYJp4m2BZ8lay7/l4KLuu3P3LpISE3RtnzUgyWvoDLs3wZQNMOs3b8Xt23dw9vx5RQAPwNbtO3D16lV8NPBj6zKMGVBNxRUzcUeQrQJzCbhJ5HKy+AsuKGAhg46F1GwQTQfY6SiEpWz5ZlPMX7RESxFDyqlTZ+i9f9qyzehIj77INBEPcg/n39gyEqT5WydFnrLfkcCQz92zZ09MnTrVy7OY2zqINk92ZHssMGuaZTuBdoUBsrHldjBMlo0bNtCgSefPncOFf89j0MCBaNWqFbp3744zZ87g+PHj+HrObDYeqEDaUhDo/kY66LYDf1XoifJToKJmazFZLC05nbQtsG1o3LWc2iqrrQAHuPDD6h9Rt1492heat2iBhQvm874g28OpU8SNCHRMsCIxaOM/HyOtsd0wI/cQk3TBZDiAbOU65mIzIXdqh16VCWxlcUtODc6XhczjKKoyQPs77UJe/dSp0yhSpMgD39rlx3rbTxtx585tXBTzAn/EnT9vx7/nzuLN1m3165obXvQG/ugygvz0w7PcOjRTcemaZFMOi1QxAS6MnzgZP6z+Aes3bHA0Iw+PiEDL5s3YvJAiXIvYcuo0nxe2blc0NoZS25JjJGrNlzcPTZG3ceNGY4yyfwNZX8ZYoowzD1P8oWec9PO23zgpZXkhLjhHjx2TO0zFkre7mrKlQS58vmQdBr5Zk44vBPi6k9migmu3BbIFuFaBdxJSKLgmqYjI8WQFbDPAThjwLBEhmPNuS+w+fBLX79zD2QuXNUZ7684/cfr8RXRs3tBSNrJUj6x2c+bKReN+qG+rRTOwmouqnGEyVKOu76Fg6SeQOUIQbr4LaY9RoUHSLNcyIee5kh1BtrQQ+2XHDlStVtXmKkrqODw8BK0a1cU3y1bRtH6qXHzq7AWGF3bu0f3iFfNyIafaF8WqyfDBt8u3JrutuE3aZHJT5jcrSwfZdhZbVVIrpuJ+L0LhrTLaktm2QLbFZHM2WzEPZ3N6MDwKuPYEhnCArYDtALEtTck9fP7/46+9mPrVNEyZNp2+BxkXCZeX6gVsq/GVmFjHwbYSHXzX9p9w/85tXL30r8Zm/737F1z69xzqNX/LAtIqwA422qSu+JEB/LS/jcB+/ubQJsX/M8nJhL3wZhZqNSB/BHRVs8rWHZrVw5XrNzH3ux+ZL5LHg/Fff4vW731CI5L/eeCwnKEchXGTKVY7l9nY0wu6/QDbNsDtx7ThBWCnZS4uBEcNwCrHnNlrL8y9yehQFtvJB5toTFPw06496PvFLNR5dyje+XwG3ho8Do36f0b/HjFrCS5fuy7BuND6OTFCWvWwwf7e/fs4ffY8jchZtebr2Pv3ftqr7sXGYsyYMZS9ql6zhgWULaFFy6FtgGtNqDGjlHu0Th7hJ7igT0wtPLwIwyqb/QBL+zZv4crVq5i3cJHliztxyldo06kz9Vv96689en+zavHRmHjrIDsdSiNtIvEOttM0L7dLT16+grexhsEYkhKN+KpduHDB+3f0wsaoLI5d8FfyT2um5D6MFZx8u5VrWSw3P5do8wmYJjnCn3vuWXTp0gX16tXFogXzERwUhJIlS2DLT5tw+9YtdH67E+LjYjXzOxvwt+2TYFzzQ+LPSIQkf0tATFZLQy7BtpL2QzUhd7L6UHy2Ceje9NNm1KxJIuu70LZtOwqm58//xorRMHnyJHRo147mU/77730GiPZT2WpzfVHSeZm+dmYfoE1M/O3YqvRW5KSQ0/52aIH/Eca23dDqEIopfxqFpGkpW7bsQ6r+XF733b9/D+fPnkFgUCCa1K6Of/YzKxWSN3vezGkoUrwEKj77nOOv1bbu922NEuRnrlRSiAmijAkiF6n0tYNu6rYUFIhp02di9uzZ2LZjh8Zms28RgPZt2/B5gQUfJP1l4tTpaNOpK5sX9hjWOybYdmK13+uL8ePG01gI9npxUD56Wz+i8iBg2zzuTfwkbZQEUjUf3Hs7V+tOgmzL1ZCy2VcQl5CI0nmyMZBNo5CnUHDMGG25lsCbAWuxUGDthd0mftwEZBOGnKxJdP+ExGSaLqxytyHYc/gYBYMkhdyk+ctRqkhBVKpYTiGKhPxKXDBy0+BiMD+hCPbkULdkmyg55342kJ5IwL6/JTpMB9oyArl3Jlu4ZG1Ytwav16kjrTYNebxD84a4cv0G5i5bxWI0ELwwbwlaf/gZsmaMwZ+Hj/MXIP1NMS93u5GanIzJ329A40ET0OLTKeg9aT4mLl+PO3fvURbbDri5D7cSu8PObvNjGt6wy/fORZ0njG0DZOvg259FMtqEWdbYbDFnW6x1iOV/bf1tMtuUyXYA2AazTbcJ6ObM9m+7fsenQ4dh5uw5CAkN4+SWAawNMkyQZ6ZuQoxHCcS67/xZBAQGoXvj13Di0H5mDRF3H9/Pm4ECRYuj/NPPSdZaVfqQ+AGWhYVM7aX7ZSuMto3ZdiE82H8Zyf8zSQkh0QbVtzYGKFIjtKGQc/ha046pYEv/6RMliqBmlefQbfDnGDZ5DsoWL4yNv/yO/m+3QnRkJD6fMR+JJBw8SaT+QLO5+JEiWYtnYiONse0ypkliukFeR01UTw7LdBzSx5C8t68ZSGVDZJ04Rgu3MdmmkgJ2AK6Bb3lc7/yGSY3T39y3mixrfvkDU5auQbUny+Dt+q+iRP5cWuAZMvFv33sIfb6cjYK5c2B4t9YIJBoyEqmPKC+oEO2Gi4RGdmoAALb8vJOag65YPB99PhiEV+vURdWXqmDL1m3UB/C9/v05VFM1XQ55tK3jnPHm/ttqMBoLdCvtMTIkHaYggUEsX5+tqMjNXylE7xPlypZBjeqvoGfv9zBy9BiUKV0amzZvQb/evWgKnbHjxlMTuNA0fCL9ueXDiMZp38Pfa5toV7Rbg4YS1zPrnQ43Rv/mpXPnzlR4HTx4sJ/PIe6RVtWwE6zPTJ9BhOo130wKrPox+34xiezYvpX2hfnz56NFixb4448/qLJJ9IVpU6dQoZ4Iytt3/IyWLVpg1pw5yJw5i1QQeDw8sjgZG1gUVZcSvVMUkuqMRdEU4zYQlY6+4IrJCty8oOTIZqBZmrlJf22V2VZjHIiAhxcuXaKR4yMiImhfLVuuHKq/+ip693oHoz8bidJlymDzTz+hfv36tB5+/vkXJBL/YGqNIoUync02AqApQc+EBY9IA6PmvlW+kvHxZD35Fp6cd9nZbB/jiLrNG5v0JVUtZpRndDyenuLPb+Q7EB/6F198MR2X52k6HWpP709s/dvP22lfmL1wGT75sB9a1quN5ypXwW87ttFvP3L8FATwLBf+D7v6Sa5HwGiLc91Jzoo7fYTirYD6zjIJIyQ0BLO/nod2bVojLDQMzz/3rBKNnADFcqhRvTp69u6LkaM/N+aFKIwdN4HLSKFenk6JQE4fxIPo6CgaPJKw2iTwlDnu+T876OMhFQW1O3t5IiEyOj8uT6coT7CaBhexnP72VnLlyoW//vxT9hW/UL2Ul2zBYT1uzFm3Az3qVJIWf8mpjNFO4WuiwONKPI+CINTplw0B7JlkcCsXAoL471LdNKMEOXfL38eR4nZjXr926D19KV7tNRxVK5bBlr8OIiExCTOGv8/yYDiQMCSH+/Vr15xGFuWVZb8UoiPJUxyVISPdnzXSf6AdFRKEO/HJkqm2FL7S3UrEKNHctOChwRWLkOCKPEivRmh5PHiiZHHUfOkFdBv0GYZNnCnxQvtmiAoPw5i5S5GYmIRQgooUSyQCyntOmI+KxfJj8aAuVMF05dZdHDj9L1oM+wpNqz2LNjUr0Xz1dN4k8xcJcc1bN9sisqwy1pDEADQYOUv/QdoslVJpLB+6w2jkXhqfymqbHKiVs95Xo3WyLFEe1AnIa9v6M4g1m6dlbBWqABQpu6y0nSKtFzmHmYmTY0QhNGLkKFy6fBnzFixAZHQMUt0GuFZNxjlzrcrvGm3JyQmy46+dP9Pgf2PnLMKXn3yAd5rXQ8XnK+GPX3dQS9uPRk+k47Fod44WFHwMlsSHbItq8Tj0D7/d69LLaLtCI3Q1rSJU2vJBG9p/02xJfwt27urpY7B14RQ0qf0Krt64hUmD++Kz97rh9Wov4H5cPH75a7987XSxbCar6uUcZWCy4JxxDW/MNhPyVLZZAHSHRWNH0gOyxe/tdWcD2epzm9HWHaImamYyihZv9/7DqNd3GA4cO4Ulw/tgQOt6KElANrmPYjZDGunLT5XBoqF9UK5IfnQcNolGidX93p2+hSzrN29D8aJF8NzTFbFx9QrUe+N1akY+aNAgPP/88/h48BCr2dlAtQKgNfNxvpDOTcl6i8XWfbWDA/1LZ2S1d2o67mwK61149no1256VSxfjp7Wr0bhBfVy9eg0Txn6O4Z8MRp2aNXD/fix+3bUbD1xMpZfvE5VtpyWt3/n9QA7m5U73NwG8qlCyl8qVK9OAWqpvWnqKOvA6mbXKc9Rzlf8UlhpefsvmM9Uk00XNxkkKq31792LShPGoV/cN2heGfDwQh/bvQ9u3Wlt9nSijPv74Y3z0wQdyUjH9tBUzcWmebk8rRtYk4E16wIUrKpMVHMXSlFM2W/iGyWikJoOt8o5k36LFS6hiwZrYPMCy71Zg3YaNaNCoEWW3v/hyHE371b1bN8rk/PbbzjQYbDFWyaA3Mu+tyWIrAjUfo7wHQGPtLl3RyG3stt+17AfIdj0CkO3no1hrF02zli9fvrR/ZgIhPwHxtk0bUbhoMTz59DNYtHItatZ5A/fu3EGfDz7Glt//RrOWb9kfy7iPU//19hjq38J00N9C+o0IeKYrdh38tRUTSbE/PCIcs+bMxYgRI/D3fiLv6Mz2iu+WYtP6NWjUsCHNhU3nhU+HoE6tmnxe+N2oCUu7oxRVDgLatnmLKvSca9//olZTepqe2XU0Vbw2V0kvYos/MH7jq5BgfQnE1S2NZ7OlBlQYSpmBwE2Z3r0nzuHpInmpvERAHLH6s0C2AN2cyVaZbWZKnqSYjQuTcb5f9enmrDhhtTfsOYxiubOhyYtPoGmVp/F8maK4fS8Wn3RugSM/zEH7hrUdZC5Wd1mzZsWN69c1HOVUFxo3Q2IwpKSg9HNVKBERmg6/1IiQQM0c3IoFYmTvkFZVbH3s6GGUpsEPjXgbvA0IWXf17AnYungamtSpjqvXb2LiwF4Y2asD6lR+GvfjEvDr34dsMvSAaUvwfKnC6FTnJSrzEbBUIHsmvPFcOawa2oMqqhoOnoSrN29Jc3DD7FwqY/W5Q89YYQTeNN7B3uiUwckLM52mybiaz9pa9BzXtkVz79IDmlFmWrmeylrT8/jaCoZG78G2Ccj+/c+/0KhxU5SvUAFTvpqOyCgJsimj7VaZbDXyuLlwjKS4rZB2smvbT8hfuCjKVXwGU7/9AVVr1cH9e3fRpd9H+H7HX6jfvJUMYKax17qbnCb/WCbk3hb2WxKDwN/YHQ/IaJPizB4JIZnWixhpFR8RXSg2h0gPZWiqPFWeLmp5okRR5MmRDWu37UT1F542fudvkZpRyVAIcxlFa6qoZKneSTBlQrvpldnmJ1Ftvbi2fx/CDrJVRYYDkLbO0wceC/Qbg4sJuu0DhAK+ucaWDDQff7UQwcFB+Hpgd2SJibIGG+fqlZqxFjUqIUNUBFoO+gILR/RDWHgAY7UD1GfTPyHpTARoN67/Bq03kkN3zszptNNu+GmzxQLZNF6CzTb0P9Y+DVDrwRZYU2TbESH++R5Z30yk+HrY4kVLSUyGK7/4Al3UQtjuPLlzYf2GjXiF+jA97P09D36uZr2inmf9k3Zx+RhHuOZSP+xwP7HfgdIgk3vdunWxcuVKNG3WzL9nUh7N11uInNTacGg8nkkyShHYHoBNbJAWSYB2gwYNsGnTJqxZvQrNmjSyxlJWLzxXJxHCPSQy+VP4/vts2LhxA2rUfI1r1V0IIG2eM4g8U6euXeWMN+0zXOhJj2UHvUR4DAPaYtznC7V4UfNoc423x9E/mzHcO3fuQu8+fel1RbUGBgbghUqV8MKLleilieDXotk6VK9eHblz58a6DevxSpUXfLPZ3NzTYrINXzvBnEjBysArXukyu9LUjxpTtC1p0HDKT/TfOwBqh33+zkHpKwrTAeDSpUuULfR5utFN2LN572NiaCFtc+tPG/F6fRZ9ODIyEl98NdOmW/PWz8xt9reQA2yPaduZHoUTKURZS/ln6+HsX4A2eWphwgoRMiVvDUTHRGPWnK+pqfjoz0fTMV+cQZi2ypUqo3KlSsp47EG5suXYvLBxI16p+pJ3iMzjOaisdtasWRAaEiK/o1X3D1Z8GPjIxzDPN5htrW0oJwuZjGc59ovJFoUw/QkJJBiaD5SpyacqyaJbApJl855DeKV8CT5upMJDALYKsgXoTmHHCKMt/YYFgOBvKhSfhIEjgIoobILcCOCMOH0ijweb9h9Hw+fKUfP0j96shV7Tl2PNmA/gCg3jRJgdYIt3ypY1K/bu+zvturLkIva8waEhKF7hmXSZjZNCQCwhlFV3K5kmU8YiMdnuzZs2olatmgappbpDkndyM7zwdAVUIabyJM0ZCQyXkownihZEnmxZsO7Xv/DKkyQqNauLM5eu4vb9WLSp+aKuROGFmBJ3qVMFVcoWRZvPZmLOgI7InS0LZ7JZ/mzRMqwxjKfRFp1XbYtkbmPsq2IGLhqzbcxWOo1XMO6jslVFq00uNZS71rl8DrYpauUx6cIiWGudWHJitElk/CGffIqAwEBqoZMpSxakODLYxqKo0rxRORJWevDb1k14lebPZvPC0PHTHS0HpbJHWlZYf2tZX8z5Q72Snu4uPWw2fYb0nExTs4QY5qrpEjAcryrXGvUjFhcdeF6v9iJW/rSdfiRVmEt7SUNl7U/RCDSVvTCArDIwE8BK2Bfhc+19cUrFpWi/HNlqCZRtgc4M/+tz/15EanKS94jiGsPNIowv2bAd7T6dgM4NXsWkPh2QhURv1NJ6OSya6aUHr79YEW+9VhWj5y7Xnt2aXIwZ+I+9+3Hh0mW8XutVfVAAKNioXbuOAaQV/2yDzaZsAjdnd4ouLhbLT8TtSZdPKn06OnAGPbQ3tD4Apr2QvlC7Vi2s/HEN999WGAu1cnwt6eIB/DnP93HyzYlvYZrXMEwV7FYlihDkjUW0lDhCC+qhAcQIY0OCihFTsYfVj1gYSVPaGayZ+rd53CGauXUcwF9//oGLFy+iXNmyqFjxSRoxV7yLqBfJukhrmkEDP8KE8cStgOXW1p7H1pRU/0uFeXcxJiJd9UGeLyKDEtmU+GUz7bgdZHOTMwcrkNi4OASHhCCImu3Z61xU9bq1a1CjRg06MdZ5rRZWrf6R+kY6ZY2wlIOO8Sm4iSVvS87pgfxoDX5ZsQhFoQdXrt1wPma7jp8Iws/HVBv+ufP/2v1yH7CQ65Bvlv4H4ltaO9Rfed9ff+LypYuoXqu2Pp2bSionZdYjqL70WDmxe7JUMXbmWg7RksnWs2GI4Zvsy5wlM76eNw8fvP8B9uzZy9sHN7Y1hGEKBAJcbF5Yvca7jMQrRc47srxcrRp27zaspNRx6wHqzkGfbhz34NrVq3I2chrqH2Eh1i9RkZE2Mf78v+eRmppiuTNYYNvJIkbJrLJky240r/IkMw23UkG5qbk4ZbcFo00Co9HF8NcWrLXqx639zX4nAPufJy/g4q17eK18MSqnZYsJR2RoMC5eu+48vlnpXNk7ZcmcGTdv3kxXnZGfrpo5gVqEZU0n0GZ+rJLVtgfdlHFJrFSXJMDhb79RVxRLVWiN0b6UIeJv1gdrV34Kq7bv1sa4vSfOoipRjHh9U3Ytkj5tdKcmGL5AZEHirkQmacU7qy7TqsoN/+cUOi/cuMX+8CUDBnhhvLW0mcYi5l/FtNtKt2Ww2ecuXUUqGWssZluy1yKCOPtb7iOLm+TH9gCz585Du/Yd0KZde3w5fiIyZsnCAp5xi1K5tpuM69aodt9sWjX8v0P79uDa5Ut46dXXlOBlavviQcsc8rXLAGe8+rz81onJFkHRHivQpi8aEqE2D7l6ICFFXNTJDE5ss6V5vZo0yuJvew+mD2Q7TBHySdPzzDpI0XK2aiCZ7Rsy6ks0bd8V637akrZZo60DSybGG8j2GfCMg98ft/yMNv2H4qMvpqcdUdydius3b6HtkPE4du4CVo7qj4rFCkpQLhgfJae2leLLYZAnHaVelaex68AxZrZrMuxG/S/6/gfkzpkDVV543sZHnDh+HEWLF5MMtRHYjOk3lTzZVqAzPbq4up+ZsHgoyCZ/R6UjEJooRGP3sEUH2/6VN5s2xrlz57Fz9x+2q6Xnzva/vS3eLqFpoLwun4wYSaMCE7bFdl2TslCvZ4Ft+375e4dnUMG2B4iOiqSB9Jo2bYohwlf7AYVwJ6ZMjbprA7U2/sSeNkd/FheWfPstZZaioqJQsgQRDIx35A1d+q0xsB0ZEYG3O3XClEkTtftbjIE1UYk5W518ZB5tf3OlqiUgIiMPhiZNxkUAFgG2mcbbwVebA4bfdu3Giy++4NAkpCKC9P/58+ahZYvm9P3fbML6wi4CEmyRxo0sC2JssgWDNMfhdLQGrrTwrb2RX3/wF1+hSZc+WLflZ/sp1rbJPChA/EGKMb6s3bAR7bv0wMefDsf/smg6dauN6gG4Vixbghw5c+H5Fyuzc41+o+ootWuqMsRDlPQEQlPBuRAUvaX5snSiKtg2zMgzZ8mKefPn45NPPmHt21LGKAoqCUfwZrMmbF74/Q/n9/YR4K5kqVI4cuSIfrr49yGqUJ3pTVFnzMhheLtNC2zZtMF5BlCUE4+iEOUlsYCRF/Vg7foNaN/lHQwaNkreVDyxUMBpaUyZ7HP3fizuxyciJ0mxxQG2XDiznaKaj7Ml1VoMcK2aiYtI5dRcXF5j6e//0Pu9UCSPFZyrUeUn8d2237n/tzq+6bIqWUjqt1u3OJhLR4mPvY/wqGhkSYd/tigMaOusoVOWC8EmxsfH0fE0PDyMPbcTsaXK3xrglvdtXrMKzl6+hp0Hj1n7r966i+yZYhyeUumQ/LpPFMqD2PgEGuzOilekyPl02zZvKODai5xrL6wPDx43A427f4C123dK9tsboHYE04JZdtovjwlwLXJcqwvBC23f/RAfjZpgzeEysJkKsLmJuJXKKwh//3MIjZo0RVx8ApZ9vxIVKj5tydkpFqlljy6u7pPVpqaZk1uqXLV+5TJky5ELFZ9/UQPVInCZTNOlgnB7G2Sm5c6BamUqLz0wGllInvjHCrQRSjSCakljKHSa8JwGbpuwomthKz9dAQXy5MTCVev9B9qKkALHp1anel/FeD8h6Bqskgq4C+TNjeTkFGTLksk7CDEEZbGtg2g7mNf8VgwfEvXvvNmzIjklBSUL5UszojjxdWv18Zd4t1ltDGrbkIa/N9MYyPQFErBb5uga4Obv4QLeqPw0ftzxhyFd8AGJVyfxdVq6ag2aN6pPTabFNyfHSQoxYkZO/9YEFKQRWVw3UXEyIZed34OYsPQDbeoTky7rCuc2aoFtP39T6cUXkD9/PixaskRpuiq49GdRm7Wfv3XsGmnfK3/evPQbk8i4jtdyksKUydMemdwA2/aHsk1yb7VuTQUtkuIlvQyN43DF/zHBth1Yqz/Sfb1VxkhcKyU5GcuXL0fz5s1x4uRJFCtWTKlno55UQYS7ujRu1IgyU5cvXbICfWhsoakAcGC60xNN0yoRMXbfMLGmwVEkuBZstkcNnoYAbN22HdWqVfPxFVzYsH49nqpYEZlJ7my4UemFZ5E/Xz4sXLLcUemoKiN1gM0EaE04ekh1i9eGolR2/jy56Jiclc4LsliB4cxG8Ugobf0aeXLnRkpKMkqUKO7rNL9LuurOmHJNBZV6kIwZP6xYjgZNm9FMFKqSyKmfOTLbhtjhSuf7ptd03DIfN62oLJ9tu9mkCbZlN/cgY8ZM+GbBQhoIcc3atXoQQYWIIAthAem88O0SaR2hLDJYq71dEYWeCbTNOvO3eahzNP3bNtewJW/efEhJTkHmzFmNI4+nkOwTuamLg5xDSF9ITklGyeJFDUWtBNlStpI+uGt37UOdZ0rbQbb4WzMjF+m+eDRyLbWXwl6LYxbjLX9LAnut3HcUTZ4qSd2BRAydV8sXx+a/DsrxzQR/CiCNiYnG3Tu3/a4v8S3qd+pDL5GeQGiihFt+2gqQUTJdqJkyyDm7dv6KSsRFSHsCneSyKddt47cHlZ4ohQI5s2HRBqLQZMeu3b6LrBminV+UEzVqOx3Q7DWMWbrOkmflswgXTLlfY7UN0O69yL5ZIE8u6hJF8YJP+Y/Pl/4AcG7OTeZZi72m87AE2ew4A8skKj1JHViKkFpKDmzLb9tSnMvt+KQUvDfgfUycNAWTv5qGt7t2pxZtRK5OISDbYLFTFUtSJ+BNx0JD3OE1ZS3EMmTjD9/jtQZNaAYWBqqdmGyTtfYOuJ3Ya+mzbab2Ij7aj5vRtgFt5/aj/qEFcLGpoFXhwmhMYpt0zIBAtKhXC8vWbaHRFe1TrcOiBt3RtMAOz6KCc344Tf82Yf7tALg7tmyKneu+w9Ply/kAIabJtRId1zQj98ViG/mw2WSQivIlCuOXBRPRrn5Nn3mxv1m9GXNXb8YKwmIXL6ilQrCz1UI6UJ/P0OYpg9+rzz6BX/cfUgYjs5l4sHHbL5RNb9mkvqxavj556iSKlyhhYwGsNbuyhh/NHNmMtVZBth6ohhiqptdEkJQAMuj40w59tlHeR5zMyr3eNwDNmzXFdytW0sjL6S8OjHW6gEb6Sse2b+HXLRvxdMUnlUfwzoDrQNquILCBbV+KAF5ee+01ujzzzDO2YzY22glIi0iUGri2g21zOBHg1RZQzVrYr8U1fvppEw1Y82bz5rS/CLNxxyLAtpj8qXLLg97v9sKcWbO0d7JPJHw/FXqkr1JoOoN8WHUYFiVN0Fwy8BmbyI30JAq4FuMzmSMOHDyIMmXK2gRuUVdkLJo6ZTLefbeXNR6S527RpCG+W7UaifFxhm+2FIp0AZRWno+X0T+gxVirymAvQpDLFuxNmPsygNSpZWPsWr0Yz5B5QVzHRIPasyCNIGgGYvU5Z7Hzyz9RDts3rkPbVi0UwJbWb31Vl+97Or2SBuCc+p8L2L7lJ9y8cQONmzZXgDjvL97Atgqy1ZzPPgC+tyKEtfQWEjDKSlWjAE/JZrO5UNuvgG015ggB6FFR0ViwaDHWrV+Pzz//nB9XwTZrX0RGat6sGZsXEhOd5xObMkfs5u3cKKqwq/UYG1kn5mRdjyvnafafxdgT1rFNO/zw0zaUr1jxwacfB/2Wk4KF/HPgwAGULl1akiTwoHy5Mtix/ge0bd5UV86qc4sYOxTQveq3fXjj6dJaHmbGYrstv2y6pOr7UpP5kiQWt7XtTpLHLR9vHsF829FzuBmbgEZPlrBYcyKfkaBM0eFhuHXnrs3EWbLBbKEZKJSKVutNujPpFUqiOp86tA8xoUEIS0cgNFHIb3RArcw9wldb6cPbtm7Fyy9XkybvhsLAbuHG2rTedl0ICAxA8xqV8d3W3UhISqZ782XPglMXrykWSLrcL8d5do3MMZE8Z71aW/J36nXYNpvfiBuHmvNaznsqvtHdpjq1aIhdK+bhmSdImsQA74uCibyx2yzit+qepQQhVSKHW9HDuTl5hXLlsGPt92jTqrnGdFvm5Xwup3M6AnDh8hU0a94c1WvUwLQZM5A9R04HH2y7NanTfic5XrRVUx7YuX0Lbt+8gdcbN7PPA1a78uaq4AyyZXovyYqr7Lj4pGQfCaJHgHd6SvrRBQmIRnMIp1V0gUCydg7HrcHfQXOjLG0avYHbd+9h6drNfrN/duFOESzM81T/J29TsKapUgYAmubLiaH2BbDZtp77Wjnu9uGLbQmRCrtssc/+5cUm+0ju6/3Hz+Drgd0QTsynOYh2MgfXAba4v/k++lI4V3ac+veyqdaWdekBps1fgifLlcETpUvphwH8e/5f5MmT1+p42kRuI2jlZG91ZgVkC22a/J0H+//cha3fL0xnJ+DNVuQp9GbO4xSN3CbMeBdyfYHtt1o0p1GoSUTm9BV/JBrPf7CkBe69ASIvYDvN6wEfffQRRo4cKXdoQFrZqW4Zw5ZfYFuD0bqwb7uNISjOmjkDFSpUQLly5ZAjR3ZcvnLFe/0oY4zqz04CJe3evYv5HQqgbz2NeBY1GqwQtNOXP1srxKUoONyKOCr9v5TJXpn8hbm4SOt15OgxFC1ajApI6itaYNsFfLdsGU1BRFwB1LGp9ZuNcfvOXSxdtdruV2kqNK2x2ct7qEjPnJdMAYvXmQbImfrc1ufVVGZ6dgIWNEefd/TFf5DtbzHmXWv88THvPUDR2rt+Z+sEe/+TZ34zexbKla+A0mXL6p9FZbY1sKjeQ091o/dI/Vm8vXXIAwAL9jsWMFW3ruJNUjENN6OSW4pjPjep/tvBwSEYP2EiTe/YoVMnaullMyN3udC6ZUs6Lywn84LRzuwg26WxvXny5NHeQ4q59qKP5t5AtoDXpqLB/rcA6g9aZPtwbnHk3+vXryNH9mzKCziwjhrYtstiBNzeuHOPmWJHhDLAKwKeWWCbg28VcAuwncyBtQKoJejmgFsA7WTJis/7/R+Uy5UVpXNkZoHVKD3I7lOpTBH8+vdhOd5pCmvVpdEA1LY65Ipipd7u3rqO88cOIX9GEQg5/X2BAhMBeBQwpAdII/fz4OD+/XTusxTI4tls2h5TDWsONi60rlONBj9btnUX3fMKSYO291AaylJ+TRKUbd8RvPpUGfvgpE7mtjFdynw6yPYiC4p92vzgY7HO08G2HVwb9xZAmafekgBcAGhuYab4bOustmTEyXm/7tyFDh06YtToz/FqjVqcoRYytjOYdltgWye9hCWPFstCBdlGF10+fzZKliuPEqXL0k8g/fwZoBXyjHemOm1WW/hiS9NzyWyHPYDFX/oZbfJSJPCN77O0Bit26UKLedzU9tAq1PYVL1wQr1V9EZPmLZG53fxctv2+F0dPn1carKkdcnhmW1FnAifQ7AC4vfhlewXXDqaPziy2mppGDXTGJwUr2JkTi+1GXFw8OgydgIxRERjTszVtXBbItgU4kyy2TG/BtfLW+VLoX7HjDyza+CutI2J6l0p9vE3gxNbHTp7G+q0/o0cHlqLFLBeIX1We3PaJXJ3QVdCtbKt+ITKlF6kaN5bNmYqvx41CsXJP4p2e3f1q+7ZWTjoh8Uv1V+GjCri2wdPYn4bAW6xYUdSq8SqmTJuuWwr4/Bk7b/vPv+DYseO6pkI9x6bFeAyLCo59nWM+iwKw0zYj19+rUKFCNJforl1s4rUJ3Jowb69OIcSlDbblQiKGf7f0W9s1TaGflOPHjmHTxo3o2q07fdUcOXLg0qXLDlBAVSzY643ciwDS9WvXWr+0TSgK2FZ9tB8UaNO6icyk+F8ba1UIUAUPPg6TgGb16tVlwFIRscRbEzPib+bNQ6eOHbXx0uVJZfPCK1UxeeY8K/CZ7qMt/eZkKi62bN/zD46ev2i+jdUHTTbbYi6cQLNXYcphHNCAtdIAjcewP5PZ2NKAi1oDVnZoY4wyR9su43oE5uPsGqtXrcKSbxfL4c64ndr/Th4/hi0/bUTHLl3tYJ2fZFmDmGKGQ8wE7VUc+q5T9YWkO8CbeD4XIkKCDGGSmY9LUC3mKz0dpaUotoFRsteFLl27oWPHTtTiZc2atRRsq0HSihUvhlo1a2DKV9N4H1JlLqWCjZclKdri4uJw7NgxudOYY9V92nGntabQ1odxDXArv+OXTKNy0z7s9DlJRHUy9tuVverLSOtEPW+zlHnI9qpf9qD+8+WsHNc0+BkH0zq7zaONC2Y7WYDtVGw6cxGrT16wQDcF3OS4CrD5uSeu3cK2UxfQ/tnSFksu3PnI+PZSmaLYRgCkQeBo5s7aXOlcZ07Ve//2bWTKngv5M6mxmdLfF2ym4tx83AJFAI4eOUxjBdBn8CYrqN/O9rHl05NrFi+QB7Wer4Ap322k3y5fjiw4f/Umbt5jfuA6cFVxQQC2/n0U8zftRPWKpR1kMnUeIEo1fpznQHcMUKaSff6QMf7MH1xRLdP/ebkHn3stVy3lGS2ArYJuywrNHjSNBDz7fOyXmPP111i8ZBmKFi8hDGCV4MPO/thuZZ96fOPaH7B6+RJlnFAij1tjHytnTh7Hr1t/QosOXSzwa+o8nP2tvbHaTuCbAGrpj235avPlQRSw6We0yQtFZLS3cj6b6WbifM0bqaa518C0Nx8DewN8p30L7P3nKH75c7/fIPvcxSv4dMJMvP3hcAcG0hewdhBmTS2h436dpRbm5dai/Yb/ztiWObmNoD2mmbiW+5X/XmGsdRabnXv6wiU0HjAKbWpXRfdGNTVm2vRjVBlumY5Cm3ptZeT8VZi4bB0NJiHS8zi0Ivrv5HlLkD1rZrxZ/3XHa90mA32mzNan0MzGlQldBkOTpuFyYtf9s39atZyC/1a9BtC0JlkiQ/GgJV0B0TThWhm4nfbzicNXxPIe3bpi39/7qXbR1t9sTdpjRRse9tnn6PJOb4cH9AVaH3FR27239mRrb+rzeQHbGiOh7OPnElZ7+PDhSOZ5tXUBXRRVs68AAD6Bm4yaPGZfvhz9GaZPmYS42Ng0q2TG9GnIli07mjRtSv9+5pln8fPPPGiWehOrbvQ6kmkUgVYtW2LRwgVaagv1ucwInORvEt8jvdE0tVoLj7F8uJgJuZykWbRx4RemsNoBAUhOdWPb9h2oUuUlO2HBX3nB/G/QrFlThIeFsjHVCHLWs1Nb7Dt4CL/u/tPethwVSi6cu3wdw2YvRddR06jJN8tTyhfBSHgzA+S5S+3bdmWCJQipgNZnpHH/wK33D6HOxem/ljQ1VpXP8plt51Plju/7kMOjR43E1MmTEKv2BVV5pdxhzsxpyJotGxo0ampTgOn9TbUaEcoRea0HLeS3D+JOJEpkaJAGKiVw5qDbwUfbxnIrwNxivD3ACy++iOXLv8Pu339H69atqW+1GAFIe+vRvTv2/f03ft2508GaypDZ+L5Vq1dTBWS3bt00EKzrOqWyQL6TbmWmzbUae8+zgVhKBwcQbrLLDt+ErRUFi7a2f3Hxtlu3bMErL7/sdcy0UqyaZICqnOPy1/a/j6B6uWIWo2yCa8183GKuGYgWrPWMw6ew4MQZ3I8jObPdDGSn6IuHrFPd+GbfMWSJCMMbJQtxP3DVJ9yN4nmy4cS/l3XZTatch7p0EhEcSr6iJdG4Sx/kjH5wGYnE/FC/kQqyBf1Attf8+CPqvvGGlg5YZNrQX8JJjuJzttHOezatjX3Hz+DXf07QMX34203Rcvg0HDl/RbFAUpjcwAD8cewsWn82Exdv3Ea2zBnZ+M6zabDMGjIOCY3TI/bTXNLsb5Z1wwj8aQYBFQDYloUjbctIqWBzAuD63EMTetquo8zJLi9m4tY57DoH/jmMxk2aIlv27PhqxkxEREXp4xacwLQCshVLU6lw9GDal6OxYOZUxMbet8ntKsgmZencmcicNRtq12uktwauvNFSdhnyjbcgfN7BuPPyIHE7HkxlGx7NPgYVZmSRk7MCIOgAxnsZqUA+YVsdyNBEacVh4Hy1yosoWaQQxs1egMrPi5zaZtE1d7ly5UDJooVRtkRR3sjEaQaTZ96e72M5J43j5qMZ7ynPJ/usFzfOd2CmtABHpgm63YRbjYQogzToPkUChBPwvXjDDixcvwNfDXgbBXJk9Q2yhV+118nPSH7Jy4CWdRGXmIzIcCMVnFFu3L6Db777Ab3fbovQ0BCvKTkiIiLk1GdqzxXNl0iXond+KbgQVmz14rmo07w9FZrJu2WLCnkgPzxRiF+c34IxeQh6rlKfom1ZfQUO7ca5/qu/8jJKFC+OCZOmoPILJN+21bD5tp0nIJHdSxYvhrLUTN+4rgFiH2tRH1XsEDnr1ZOsOlMekualFH2HDK4iL7qoMzF22M/NmiUzOnbsSMH20KFDrVPpbcRzydNtl5PPznN8MwRvvIssvfv1R1xsHM3z6KuVEF9UAox79HwHISGh9FJZs2ZFUnIS7t69h5joKJnPU60LUUfKQ1CzxkwZKSN+9OgRK8aBfDkX3HQiUnNWsiBoaQEmX8UVFsmCpKjtWGMNJLhWlag/rl1LGfgAktbLjodx6dJFrFyxAitXfK8oH1PhUtjrV6u8QMf4cTPnocrTT+jjpdMY5gLNkVqiYF6ULZKPPY/23NCem4FsKZjZQXagb5BtCULi4oakq9aT+ne6PoD1z0OBbOtiTiA7vZdU+lC//gMoyCZ9QVekMN9R2jpdwK0bN7Bk0UJ06d6T5j5m/U+VFxzkbruqjF87nc/Lf0v8rB+mLxAWzwKq6jhijStMORHAAWmAi8xVDEIyIMoERrfLgwCPzLHNk3khLDyC5qo9dfIkxnw+GimpqXh/QH8a7PGV6q/S9YSJk2nObVpU+UOrLxeSUpJx8uRJVKxYEWXLllWq1zBlN+ddkfFDYd1Ntl6dSrRPJvoaHXy1oUk+osOH8ZUDXVPAGN9+48aN+HLsGEVBqSJ9Y0xVNQyW/CVlo1v345ApMhTuhATFRJwFQNPMxQmwFsBbMNZ02422BfMjPiUVIW4XPcZyZ5O6oF+dvVOAG3eSE7DiyBl0eKokQshhLbo5k9lIcDQiwxB/6gA1HoV8UYulJ3JWYkICXCRNb1rd2QPs/fknFMqVFQEV8+JBi8inLZRgpnJEYONdO39Dv769Hdhs+8TKeoFZVC03u8mrz1ZAify5MWHpOlQuVxwVihXC3A87o/OY2ehQ+yW89kxZhIUE0w564sIVzF73Cw6dvUBNxl8sV5yP79KXWR3rKcg2xn9tLjBZbP58EiDzZ6YrNYaRD/lL+40yxqsWK+I+1nyiM+J2BtyeblP9+/bduxg+YiRu3LiBCZMmI3fuPHbQbIBsmw+2xx6sWIwXHd95D3FxsQiLiNRINOu1eLlz6yZWL1uM1m93R0hoqKF85ebjfB9luk1lnALCLWs+AbCtc+S1XF6yUDzIvPBAQJsGfCFgO+6OtU9+VHqG/uE1EMpmHVaPuuCo+aQak4EoRFHUv3sHdHzvY+w5eAQVy5X28pBSKg4KCMTUz1haHzH46xpNr1iGX0EFRh4mxDid74iJVOlA3acC/bRAtg6kGWhW/Q2lxpWCbLeRJ5b4Fd2+g15jZ+KJIgWwavQAFvDIK8hWgmqk1ektFCJ3Nqn2LBuE+DcnJiX2gQUYO3M+3ezRvpXXuo+Pj0d4ODNbUkE1VwNYEcU9NsbAnkN78tAPUe6ZF+n3Ex0+R7RvZUBahXbYgECe09pXcZAm6AUUMO0VUDp3bBIoq1+f3ni7W3fs/ftvPFmhvLyVl7ZG8t1OHjfWQXuv3tdo84+jqN3OG1C1AK2DkushwHajhg2o4LVt2zYa5VoF2+pNSB3YLgc/ALdSGjRq7L0OlPMnThhP1126dtWqqO4bdbHqh9V4q3VLfi8xuaqClPhbthXyb9euXShL/sWX42n9qMJogDX6SbCd3vzZttchgDQsGp5Elb1XrDMUEMqikLMJfsmy5ZgyZar1Nlr9eDzo9957+Pzz0QgmJlvuVCNgJFvIcNa/W0d0fG8g9hw4hIqliyk2qYawRj+2C8HBQZjyQTc5fmqKHimcqIFuHg5ky/nMsvyyCUv6eOqY0ssGLPV5Un5p24+8XMvbfvW6zqy2cCFKu7jQqHFjG8kmR0TWFsnfUyZOoMc6EbNxq6krHVF9NF/zti/QlkYJeZDI+0ohwltkcCDuJZH8zBIYqEMR2UsVXhxIE8UXAdjkf7rtsYNt6uIltIIeFwoXKYJp02dQk+8vvhhLFdNdu3ZF37590aVLF+zdtw9PVqjgUAnye44bNx7t27enljRql1HxjmbK7gCydbN46bPtU2drvYsCtpUpUT0sf6BgCUWQdv7KTGCOvX+PmsVnzZqFxbtxBG+mNZQEqOpy/uoN5M4cI4PF8pzZlNGmi4g4Ln2ypVk4Ya7ZvqeiYnDo3j3MPnEaCR436uXJhfw09oTynoFuzD54nG63LlfUkc0W62J5suP4uYsoVbK4BaqdwCpJc3n3zh1kzEbSZ7HO5Yvdjr17B0++TJT4D17I+BkaHISklFQ7yOZz0dXLl5E9WzYaRVpYgTo3HrVTO42NKqvrphaH/d9qgE4jpmLv8bN4smh+5MySEUs/7YXxy9Zh8dZdSEpOoUHP8mXPjI6vV8PIEoUsqybLmomDag14B/oA2epcIOY+lW3XFKHqHC7+Tmtg8wKwbZbDynEH5tx051LjPhBLs5mzZuDHNWvQr19/VHmpKu3nqg+2tNphirhUx2w/cBwjxP5X32jAxxJ93BBVIl5n/rRJ9JWbd+isj+26bkX6bFttTYkFYPp0a650vkE2KQ/CZpPywLZRrvAMekRLm5CgalcU0zmrEUjNiWY6YWmCVHML1Uk/EC0b1aN+eUPHf2XLBac681th7LWcrty8Qw1vr5pW+aOtEKhO4YPsmk+ls9jOVUG22b+MczQKV7mPuJaFJr2D7BPnL6DloC/wXot6GNC6HtMuKn7YpsmRDrLTWKwGoXx25VvfvBuLyPBQo8O7cPXGLUz5Zinead8S2bJkdmBy2N8kBzdhNbSqs0UZN01W7NHF4xMSUKxcBVSuXV95dA9yRD24SZQot27fxtlz5xAXH2+2CGUhbV2tKKXivO231nqdqOc0f7MpihUtimEjeR5Qv4q3Qfw/YLKN4mwaJh5HUTjZ+s4DmpHz7S/GjsEXX3yBo0ePyprWtJ980GUPqUMZ42+hLdWCjflYaKRVJRDUtetXMXP6NOqbTcxl1dKwUSN8u4T5L2mTqNFPRKNW3VLKlimDixcu4OaN69okZOXV5u8o9oU9QC55R1Zb8euyopRqgdHkcufOPaqIy0TTdamVylYbN6yn71G6ZEkmJBs+2DJvtgctG9RG8cIF8On46fq1rDlIEYYsNoIJUcI0UC5in2IaSAUraRKYfnNxVum2b6jOO05g3Da/+gDp9i+ioBFvwpm6Tl85ffo0ChQokP4fOvUplwvXrl3F7BnT0LlrN2TLmk0XzHlbtYQota+6fINstT/7elNxjCp1HrJEhgXrAie3EFPNqk0BVA8K5MWM3GHOK1a8OL6aPgNffPElNm/ZgiVLllCLlk+HDmNmpuYoxF80NTWVuqc0adJEe3Z97jJBtF2Jrb6nN4Cum5Gra5U5N4C6v8UQO2WbIZkcfkLNmsRFjr+ZKb85ylb2c4icdPjMRZTNn4vlreYyFNm2cmxT0C3AsIcDcb7mJuE//HsRnxw+gjP3YvFkZAwqxWTC3FNn8cG+Azhw4xY/z4Pr9+Ox6MhptC5dGJlDQuj1KZBXcnoLYqR0/tw4RGIQ2QC2OrV6EJMhA+7dkwRZWuJu9jx58XTJInjYQlht9buYLOL69evwWu3a/DM6zONeraRM2V3G1RAZIFrUfAnF8uXCsLnfW+N2eHgoPnirPpZ80gsrRvTF6lH98FW/jnimdFEEBAUr5uGqqTibA5z3B8t0llpaLCNntZLm0havJE0fbgnc5XkmnnJisVUmW5mjDH9ydpy5dm3/+VfUq98AYeHhWLHqB1R+6SWewUf3xxayNsuZzfdT+OFEdkGez8+xfLX59dQxQB0Abl6/hiVzZ1Lf7CxZsjq6CKl93pR3dFNyO8iWfxNDezJaunHonwP4Zt5cDP54EFq3akHJjsTExAdq/w8sWdGAaDfPi78cOgDfr3VkrqJQtJf236u/k5OCynYHBgdiYJ8eaPtOf+zeexDPVuRMnnE5RyHEYo7VoBHiw3pJH2C+u20AE8/Hd4jbeXywcsovFSimPaPtHD77qCkcxDt4A9n7jp7EB5O/weyB3ZEnaybHAEHemWxjgLM9usG4Ogx663ftRe1KT9sA+OczF1AzjD5vt1EuZ/QcuJCSkkpzqPIvZD2OPjFLNttM3UXWJHfk5h+Wo06L9lITByBbZMhD+eGJQkwhP/nkE1y9epWm2xJpmfLly4eiRYvi9ddf58KoA0PtcWC2rddX+ovcqbWzoKBgfPTBALTv1Bm///Ennn3GmzuFckNl4nXer+5+/MibscnGu9MD8tGsHaL+FFbnQZjtyIhIGuG7XfsOmDNnDnLlyqWdKi/Bdjibf5ovoj60l3d12J745Zc0qF7Pd3rZzo6IjES1l6thzbp1eKNObQ2uUzFVGyuo2kmrC2ImP2f2bLw3YID1vMyESjUbJ2m9WL7Thy0BoRFIjVVztSrX1MzS2Hr1mrU0CJrat8UviCnk5MmTsZQE0LJlXTAjibvpODGoVxe06f0Rdu87iOeeKGUiOabmYHQ+G7NNlx6t+h0YbQdfbb/NxZ3M+cR91L8fGcjWXsa4l9j3cN98x44deOmll/z/gdpdjacjf08aP472he49e2nn6mOBeH5jzDLBtlhrSgbHU7W/yZzwKPoCSYn0L5UpOEtiDUdyXCLzkcpaq33SMinXmG3jJfg4SMZP8me2nDkxeMgnNCbEB+8PwNdff02jA7///vtW3nSX8f2qVKnCzPe1pzfBrwH8DUUAU3jbs4KI6ziLVfI9yG9FndPfUQuc9H0DqzUrzBQpa9aswbChnxoKV5XY0N9bA+LWC7Fx5sSFyyiaKysHulyGokCbgGm2uNUgaeRvxe9608Ur+Pv2HYwsVJx9PjcZJlwoVaAw7npSMfLECfQMKILimWPw9bFT1PKwbenCCnjnQF7ck8t6RXNnxa9Hz9mUA5bNEn/PjBky4M6dO8jvJJo7lCfKlEZ4qD9ZhnyX0KAg3HclcQAkzXqFGe/mn37CtK++0r+Dpiz3VuTYSduwBUBJx2LvHxQcjEHtm6Lt0In4/cgpPFuqsKGUFu1GAbAWo03+9mYqzhWxJpOtukjRZ5NKV92SSX1XMS6oc7lZPGnjIw2DGfd1NBXnPtj82UnO688/H0OJo/kLF1HFjIcDZCljK4y2pTCUTLeqTNQZbdiijOukmemRLZvlvK8mIDAoEG917uk4tktwrbPVTKnD25oR5V4EObNiBpCgq0lJWLlyBRZ/+y0KFyqMKlUqo2Xz5ihcuBBCQ8OoPPbfMtpEe0NzajsJC06Lqa0xNDe2NDBKsnW+T2WsmzV4A2VKFkf/oaOVfHAGm001TME8wTpbC2ZbpKGR0fYUht2PXMa2+lB+ZRvM/dHNmuBHZeBUgcIGglXAzDWvfFL445+jGDx9ERZ+2puBbJXFtkUxTyeTbVMGqEKp3P7xlz850Jbf/MS5C5g6fzn6dGqNzBkzOLcXrqwhftVBgdzfTakCmTZEDxgjAzBIBmHO2GEoVKKMLShDzpiHMxsXJSoqCuPHj8eCBQuwfPlyfPfdd1i8eDF69eqFIkWKUF/gTp068aA15nvCYVstTtYWKngBmjZpjDKlS2HAR4PSMONUB3E7yNbaMN1tnv84FnYfx3BvDrlA9b71cMx2zhw5qck2+TaXL1/WBm8dgjgz2zaFupeRT4XGchJg26dPncTMGdMpyM6UmQT9s485Xbp0xYyZsxSwZvF5diWiqDP+3iQC8Y4d26lfnhqARs2dTfNnP6SprFVTRPgg/n+ar5oItGLXqq9YtQpvvPGG/Tpkcp37NZo0bkz7F2sPLPijxmYrkYJJefONGihbvAj6jZzAMZkQnMiLqmy2YK3tDLa235pH2LxB5z2FEbesrpSgMTbmwQTZmoVXwAOCbHEKByeadZlRkY6AXAFrNrxtv763QoBapUqV8CjK6ZMnMXvGdAqySV/Q9CMqiHJguI2n9i6IqVXiRc/woNHGncwMw4MDDcZXjyFigVYBVnnubG+A1vKF1BhhnTEn5xGBkKQDI3mjDx48SBVWDRo0xPHjJ7SXJ/NVs2bNtOe22GRtnlVYauWZVFZbP8dgtKx3U9lsHahbbLg3DOyPHKWBbeJpkoJr164hd65ctrlHqhZ0UkGbPyyZiq1PXryKIjmICboAujrDrJt2MyZbsNm/XLmGHdeuo2+egvAQM/LEVLbwAGnR7gB8WLgIvjhyHHuu3sSS0+fxVrECyBAUxEG7wZ5b9KIHhXNkoQHRbDEpqEeMnC+F6bioKGmH5Yy1Q+Il+/0whaRFIgosG8iGCwnx8RTgZMgQo2Ts4Q8vXsL2cf1dGLZoWqMSyhTOh/enLJB4QWGnLTaajPnEfN3aF8z+DmKMtTemW1rM6hG7JautWHWZAZm13NY8WKjKNgc4YCeFwXbyudbwjJO5uLAatqKOB+B+XDzatm+PLNmyY+LkqYjOkEGy0CSRkRNDbTHTcr/TdqoZGM1cO2ZfYGPP+TOnsGzeLLR+uwcyKJZvTvKaXFSQ7T2tlwTZHty4fg2NGzfGndt3sGDeXHw5ZjQa1quLMqVKIDw0BCHEl/9B2/8D/5L8mKRz0TT3OthmjUBdlIAyFrhVgLXVIIWphTyuhp8nS2BQCMYNH4ydf+7Bwu9X0yA8BEx7goL5OgSeQL4EhdAOQ/fTfWybAXAOuLXogNIkQ5q2O0d+TrsYQMBbsS5lWAT4WwyATADqoGmL8M3gd5A5JlI7rgFzGyBxANMmqFYHMSs6r9LZub/KX8dOIyYyElkzy7Q/5Ny+IyciZ7Ys6Nu5jeIXYqpY2S3v3buLyOhor9UqNOl6Tj4pEBCGOXfBIihR8VlLQBHvny/Dg+WGdCrEF0idxgkrU6BgQdSsVQuzZs/GBx9+iNGjR2PIkCFISk7Wp3tHsO1DEjRKYGAgvvh8NHbt/h2Lvl3K6yeN9mYVFZyqu31pVpVD/ihkfD6GlzanFF159WjBdvFixfHlF2Opj+LevXvtg7fVNPl/vkB1GtEqnX5HrBGIiWevd9/VhBD1q0dHRyNnzpy4cOmSBG2qiZitnci6JHtbtWpFo3Y75c5mgJv40D28qawoASGRUlGqpgtRo5u6AvHTli0oVao0omOYGxL71qxcuPAvfvjhB7R5q7WRqksNcCbeVtYFMfsb98kA7NyzHwtXbbSUrsS0TwXR8GsxQbk6T+hzhhCSNHM+dQ5R50fxpjZ2I50g26nYgLXrISKNq88irisb5927d+nC0iY9QDHa+cAPBiB7jhzo8c67+usor+1KA3CbJuWWkky9mP0xtBLyCPtCBst83G5txYCzGV9ECple2WMOrFUzbT2KN9tP5qQxY7+gQPv5F15A9+7dqRm19q4k2JwX5ayuZlUtYAwfTCM3uC6Q64K5xpDbGC1jSjEZLgNv+TNLEtegMqVLWzew5hILyUvFpFTYebzOTRev30auTNFWWlPBajNTcgGCCastzcYJyL58Px5L/72I/vkKAzSXNos0TvNpE6CdmIqURAa23y9UBAP+PoiMwcFoVagATxumgmyVzSbP5Ub2DJG4fueeVAyY78K/cQbOaHubv0xlVaUKZfCoCsk/LH1h+ZzqAn775RdUrlLFmPYd5AbNslVVXNpBpppmi2wHBofgy76dsPPgMSz+6TeuSJUgmi0hdAFfu4LZfijHyTH2dxAxJ9RcVCV24WSemibLC46RUb8VrKMSjVaObGXbIiB9m5jr7rhqVHFxL3mP6zdvoWWr1ujUqTPadejA+jQF13qfVlPmivFM5NB2Tt+l/Jaah8v9lnJNUe5pFAxvwuM+HUjB/1tdGJutNwk1A4yeWUUsAT5NySXIbtu2LUZ/NhKdO3VAVESElkKULIGkLfwvgLaLAm0eddlw9tdMJEyhQ4S2t1gONYCAIcTwRmGdqyxVX6qMJvXfwEfDRuFubLylgbIANgXZyt8UfBPNFAfZFqB3ANua9khRIBgUlv9g2xtwkde3BZRLb+ETH9mY8f1GtKxZGRlogA2V7da1t9p+XyBbPLaGRMx8glI7l5SaioFfLcKIXu00f8Y123dh7bbfMHZgH0SQIGcmU2sIkikpKQgOlg3cNhY7sARSQ+bBri0bUb9tFw1kk/NyxYRRtuFRFWIG74tMJsw2yT34xBNPUK0ZifIqi4Mga6NffJeqL1VB40YNMXDwJ1T41YrXBzNBqdE2zH3m4vS7BzmHCwsakDaOP06wXbJESSxetBAjR47EihUrnDWl3gC3GMz9VLCr5xH/4w3r12PkZ6OpKbu4j9UqlO1q1apix/YdSvswLmx8VlV4fLNZU6xauQopScR0z/RLImx2IAKpmdujKQGhKqNtLHxiT0pJoUHaBrw/wGrf1tdxu/Fe377Uj570K429VtfaaCDrotqLz6Lp6zXwweeT+LxgMhectRAClGAnFCHJZLulhZSwmFLSldmizLK8xhrAdlRGPwzIdj1SkC3v6x/IJoWwoU15KroHKdatiC/++vW0P5BYEyTLhO08s2/Y+qUQ3PmcZO2x/9a8hlpIjtRH2RdY6kg95ZVgnyXw5HOTEDydmGzlb9O/2VuqLLJ+qWpVGoRu0MCByJEzpzHvAOXKlsWBAwe8Pr86dNqUAcq9VYZaF8JV5QJXhquCtQKoLQWCcm8bCDfRtqmFMcqePXvw5JMVHOYNHYDqL2vKRfI3ickpFDBqYNcC3DoYlmbjHkw7dQZdcudDUKrHyp0tmGwBslMSUuj2qbv3cTclhQLtIFKXNM0XA+4qk06fTzDb1rs4vadMY5YhJkYy2qLO+Lwm/hbVmDdjOLJlisGjKsRqyq7ABhYtXoQ3Xn9dmQWc5BWHcdAg9hjAVtIxKiCTyJ8vP1MBTV6thI+mLsTdxCRp8UrmgGADXNM1+VsB33SbH7d8siVjbc87LeaJAJ84xuMExB3imTiZqNuZcYmzvAJvJRApud7lK9fwVpu2GPLJJ3ixchUdLLsVVtrKk22w2xxA67GR1PM9NnDuCLIt5SFfAPy6ZQN+3bIR7w4aRjMtaK3BG+GhWTA5BD7jZuTCtJyB7Hb4fNQIyl4zYC1SMzMrOhLwmCpv/idAm9zcYrUdHPKVDuC8qMEBFHYgwBcbogtEo4YNwd379zFk1BcURLsDCLDmpuGBQfRvsXjowvYJwM3YbXItdswRcJv5vNXPysG23XTPHPV9AGhH4cZ+H8fBRStsgEpISMLqX/7AW69VNcCyulZauDWTGmOcIz4z0YPUGkofxkCM+mYFOjasSdlsF/GDDgygebX7jJyAV158Bg1fq26YWPK2o9QDYXpNTZd4LKll5yZzYlsRTI4f3I9/9uxWBBHZ2YtmfTBfC2+FCHfER9Qn5gSo0EPM+Pr164eZM2fSYDTsnbyx2UZ78sFojRr+Ke7eu4dPho/UpSO1WH86gVG9dnXlkJdFndy9HU/rnDTPxWMH25kyZqJge/v27dTqQM2zbWr9hcmR+V+AH4v4L/Z+LN7v3w/Vqr2M+g3q25lyQ3YsUaIkdu3epbURmwk5WRyUG8GBgXjzzWY8r7YEJAL0E8HxURYi4ASEhHt1BSL7x0+chDZt2iAqOsY27Myd+zWNBl+8WDHFlNChTVg3NLX7gRg98D3cvR+LweOm+wiKaYBvZbHOU9ltmzm83ddN7NPN+VTWxQlEpwdk28d925zjiCpN4Kycr+33sU9tex5g5cqVqFevHn8G62H04kP5KAqJlP3hgH54qVo1vFGvvonntSd10i+p06c5eqqv7vjaRqGpfh5hIT62GSNCnAOHacywnOu8Red1CjZmgVMNuOrLiJGf4d69e9Rf++zZs/zJ2NFy5crhzz//tD+4iT8d51/1ub2l9tEXRwHbts3T+/DxWRx3eLQ0y99//40K5QnQdnobdS5wljDo/U3ZSHtxC23oYFtJwfXPrTsIgQuFgsM4i82WFL4kJ6ciJYktd+OTMOn8WVSMjkHDHDmx4PgZHrGcRzIXebu5ibqVyotGUycpvkiwSGXOU56bNHtinn3n9i1bX2H9h0MUDkCKPQYZifhqC4U1KVu2bKbWWkWLFpFztvnBbQpAp7Uch02ArZqJj+7dCXdj4/DJjG8VJpuBbQtcW8y2ymZzcG2BbIkn2Fxh5KE2QLfEMYabq+UjrbjKqsDbRvw5gWvD9NzmL+6gCOAK7/MXLtA4NWO/+BLlylewlHiSwTZZaT2wGWO4hQeDbjZugW23c3A0XTkoLWZEIXm1x336EZ6u9BJerl1XaUcGnPLBZstFtUaU5uIkUCwB2aM/G4FypUspGU1Y0FWxHUjc4R6iPLTqNiAqs+4v4JQc3ZoFnbQzRoRahyjjmr+DZSLOWOq8+Qvh08EfY+qM2dj6yy4Kom/di8POP/di5dr1mP3NAnw1czb+2LsPCUSbSIE2B+D8GrCYb70DCcCuKQNU/wmfphumgsEQmmxMLtvyFTVQaKykH7TzN7l1LxaF8+SgAbn4VaV21mCyda2tUTQmw/48KrgW35QMbJv/OogL126iaY2X5OAXEIgPv5yJy9dvYuqwD22CqpMG7t69WISG8Yjj4j2UoszFmiAi2OytP37PA6DpJitRIUHI+ZBpvZwKSZ3lq4hqzpc/P5YtX063GzZsiL/++ou/j2FG7hNsiwYjQWi+PHkxdPAgTJ0+E9t2/GLePQ0QKo4ZD2tO2KaUJc71m9H2gbU10Gw8+38AtoODgjH+yy9RvvwTaNiwAXbv2mnTvovFXwbbZLPFMmTwIFy5cgUTJ05EoPCXdgDZN2/ewLKlSzHwo4/wbi8lWBp/EN2EXAdZamilVi1bYPmyZbh965bmqxTkCuDBBh9tIROTtFjShYLtO37BkSNH0ezNN22fmkT1JDEOunTurH9z66XY2COvKYUK9T758ubBsAG9MHnet9i6a48+jpvxPASz4WQ+bhOKFH9zTQgy/OFoA3GYE9RYJYp7lTbOWt/RF3Bm+70rdtX6MucZXUmcHmUe/SQAfli9Gi+++CLCw8Ml/hDd0PFv70GxyPx99eoVfDFuogxCpkTx117ZB4jWALfCnPlJflJQTBjtR12yR4VqbJCZS1YFl9IX2wvY9hJ0TDXthlHPefPmpTm3Z0yfjpgYnaF8qmJF7NnzF27fvu1L/6AVDj9VKKoz3lqOXbnYAykZgZA0ZYPDNGO2KT8Q961bt5A1K4lSnI6Xc1rzYsuhq0VMV8zHFbPxhefOo1W2XEhNcdMlJdVDUyeRJdHtQVKqB4mpHiSluDHr2kXcTElGrxz5UDtjVhy+dRd/X76J1MQUpCalwE0Wmq9bNV1ntZUrSwZcvHZDutiYSBug2R3ItzZ7gKrgJevosMcjI5G0eYJlJM8/btw4fPThh0plm3BL7dhsrRJ5MsgXZ7IFwDZ9rjlYzp83N4a90x5TlvyI7fsOSSZbBdfEgtKydtLZaxnfSZ8jrH02VlthtsW2aTLuFOtDA+i6n7ee0UNaCOvA2zQV1+dIsj5x6hQ6dnobk6ZMQdESJZzZaps5OIsY7mgqrkQSV03MU63fGC6eitunJsbxzz5t9FDcvHYVA4Z/YfU7tlJlHOex3GS2hXylmouTIMnt2rXD6FEjUK5MaXuQVZrhhKSkcyEgOOR/C7Rp4JvQCA6wHcChwXabWhatMZrsttKALdAbIJhoZgruDgzGy69UR5HChdH4zRao27Axevbui81bt+PqtRvIlCUr8uQvgNVr1qF5i5Zo1/FtHDh8VPprB4VqJuUUZDsEN5Dm7Q4aJlvgAoMBd1LDWxVoMhlGzj2tHh3M2R1KQlKS1Myrs7EGeEwtruPX9fIOAYbJOBvkCPC+ePMOxsxfifH9u/J0OKxONu3cg68Wr8Do999B0UIF9HfRwLpkhH7/4w88//wLNgWyNyJe9RcjwZ9av/shchYoLJXOvOM/ak2tKMTkkLyvVxypCArEr/rtt9/GrFmzMHv2bJrz9Px5EsXfiZbxJQzr4LN7l06oUulFdO7RC3fv3ksHyFaKBkR9ImP/GW1/WG21PXprp48ZbJNqbdywIRZ88w0WLlxEA9oRcKoBbgfg7M8ifrd1y2bMnDEDI0aMoNEsb9++hRMnjmP37l1YtWolJk6YQE2nGzRogN69+yAuLpay7YULF+bPbCphDLCtvhd/zZDgYGoaTwD3kSOHrSibD5sv2Fsh/qFU2FHZXpcL5y9cxOgxYzBh4kQ2DxgjEGHdWzRvjkASOIe+g4isrrw3HzOEoKHPF2KsDkTPDm3w0vNPo9OAIdSE3DTxs1I9Wuy1ZCvYPKPMA0rgGOaLraefTMtfzhy7rZglGhWbFsjWKdw0QbZW/ADZ6jP4KCT+x7Rp02jfeFiQTfrC7Fkz8MmwETQntPKEab6bCp4NgkMfKpXzfF0xTHFRepQlMiQIkSGBtoBAcl6SQdD8AdsWMFend6XSnYb0bt26IXfu3Ni2bRvu3uWmwzQ7hgt93u2N8ePG+f9CTkO8Ar6lmbgzm21js0xlgcncO2Qc8faeTm01JCQ9QrIy3/hxA6veLZDNI49zkH3qbizCXQHIEhDEWGwKtBnYJgA7iYDtVDcF2X/G3cW6+zfQPmNO5PAEUzPyPvkLYfLRE7gVGw93UjJSk1PgJosVfZyZk5P7F8iRBWcuXbG7ByqFAO1bN29qoFqb13j/KJJZd994VIWM62xsJ64ny/BarVqIiYnmLLaqQfE405fW3w6KSyGLi+jgloWSYKOJX3Uwer7VBC89XR6dhnyJuwlJlrm49NNWWG7xO4oNVICtAmoVK5hWsSqOcQLKKsg2MlmYimEn7GHb5xR41M62Hzj4D955pxdmzpqNgoUKWeOMN5BtpudyNBUXgFphsSXg9mjWO07xKtQ+/scv27BiwRz0+PAT5CtYWMtv7R1YG0pY3nxE/A61jZOsDO3ataeER7nSpY04MKk0jSg1HXe7ERj68LGcHomURYKipSZftjOxSpXYTOPUc/nano+bbQuNv9BeXb9xG9t2bMeWrVtx/vy/KFmyFHr3fY+ms8iRKzcmfzXdGtTp7wG8Uqs2rfCL58/j81Ej6QA1YEB/FC1MktMz7QdpmC4XscsPsKJyk4pmX59E6g7QASt5nDTBqh9FpPtQBphUkv/61DkUL5RP0aLyXCAcXFHlBgEeJKWRAuJT3KlISk5JQ1DhU6MGgPjpZNNJIWCBbD3QhBA2ScfrOWYGxvfvgoiIcOvYrbux6PzxaFR/8Rl0adXUyt+n5u2Tf0vFwtZt29CgYWMdqCpqL3XC1bT7Hg/WLVuITNly4pnqr2mdmYTzL5zl8QBtkX81MYn7TBmFVit/RqrRJWxH9uyYOnUq9ZPr378/qlatSoUil2P7EB/H29XJoBKAGVMm4pnKVfHehwMxc8pE7bgEneqllGvaAKiP4nfbN+7nS5jn/UotxAfo+KnTKF60CGt7tM2TFe2A/HePLvUXKZkzZ8bkiRPw285daNe2LYoULYo6derQVDg0r3saJTY2FhcuXMClS5dw+fIlyl6T5fy58/hxzRpkyZIFGzdswE+bNlGWibAu2bJmpYHRniz/BBrUq0uZKMo2m+hFrXMltY9sJ6KxqQoMN56sUJ6aj3bt1g1vvfUWdWN4HGy2KIHBoUhOknknr1y5im7du2PS5MmIiIyytZykpCQsW7YMq1evdhi1xBzBhDT2gUk/I+M2+340FRv3N2Gf1oOZ40bhqVfroc+nn2P2F8P1Mc+bJY9jUQGpzkjr816A1/nLfklznzdlmjyPpA4ifaFY0aL8Vg5A3GnbQJ4yHYx6rjcRRq5JjRHlYPPmzRHOfanNWtRbqXeQTQT+Xj26o+rLL6N9x054kGKNiIaBlzmM+HpDUUIfQR55byV7dBjuXr/PeRZrJqCtmQFJtlek+aKpvcy/Saovwq7w4UrOKDI7pPnOYklJTUH+AgVw8MAB9OvXn7LbolSv/gqmaqmV0i42NammFxVst/7R2TfhbCZ/Z3M+VN9DXNt2Dh+v3R43Tp46gWJFizPfXIdCs5Y8sDLR3mgdrf8sxYDis80jjS86dx7NsuWEm5iLG4x2igdI4QEr4zypmH7vEsoGR+KV0IxITkyl2tmwgCB0ypMf4w4cw6fPPYGA4BSkhqYikIDtlBSe7osthXJkwcnzl1HlWeJXqo5xEslkJow2VxzTYuj1SQkKcKFApscDtEkhViPx8cmYN28eVnz/vSH7OskdbJylrcUjsQK1A6NzukzZaDVG2li4vG5YRZEZb/aoj/BkvXboO/oruq2N3wZJSOVsB1ZYPVcnx5TzvI7pcpCyckZb8zWbu7RCz/U+XwkZic4LXp+Nbe/e/TuGjxiJud/MR+YsWbwy2aaSzwxqqGdHcI4oLuM4eLTPaipi5Zd24e6tWxj9QW88XakqGrRqpwxqIv6GHVCrbcVJccS22dhLFqIkfq9PbzzzVEWO8WSQVSv+C31IF01Z+rDlkcwsrvBo4N51bq4izcidG5kBrh32MaZDat2JBnD3H39g48afsGfvXqqVI/5cffoNQL78BVh6cfIhXYHo1aMrnnn+RTRv/ZZNA0omqux58uLLSVNx/OhhDB02nOYVfH9AP+TOmZP5FrpIZcsAPB4Xt9Wnf3OGRRHSJFB9iMI7mcrUTZg1H2t/2oZGtV9F99ZNFMGSd0iqHFCwi+iLAR4UzZcHF6/fwumL11AwZxbZ6vggZQELrXbUD2rNaDYBUwfZ0meRbI/8ejkavlIJpYoUZAGEAgOpYNDmg5HUP3vW6MEsWqNmNqP6NwpTGBfu3L1HwefHnwzTOr14YjvI9mjrP7b/hA8mfa1M/Kyjkwkk5BHkzvZWSPCmRA+LKu6rWlXBgZSy5crR3H1t27RBrVq1LPbSq2DoAyQUKlgAX47+jLLalV54Hu1at/DxxL5AtjY0OjQVtsNKH5JGYX09DQDPELT25hOnz8K6jZvRsG4ddO3YzgLTjwxs0/s6dAUX8OILz2HVyhU4duwY1q3fQP3qSYA+4SpAc3cSrS0Rdugzsb8jIyOQO1duyiLlzJkDFco9gawvZ8WAD95HRHg4dv76C/LlzWv/Bmb9ikA35n5rUxUinOCpiEBL/nIjV47sWLZ0CUZ//jm+mnoF7733Hh5XIaCwfYeOVnA+Ej196NBhKFiosK474EMMAdrZs+dgwQ/pOAuL9ZbQg7cjOiEqPukkBzEVrPg4zcdo0hfGDx+MTn0+QOXnn0G7NxvxidSL4sJWlDr1mQ/brmDWALajckkFu+a9nIA56wtrN/yERvXfQJeO7fWD5nWc5mCfUBNerydcWkgwLRK5eumyZXiQ4lHaRue3OyIuNg6TpkxT3JzSX8w3ctIT+xOo6VHkzvZWskaG4PQNF1LcJF80tEGHKfkZ8GRNmcNJZVijaz4mMxc9rjQ1m6epO+GFWE11JNGE3ak0XWClF19E27Zv8Wu4aK5h0v+ChIkkHw+FkOq9i6gm5HbgrRYBsGlfNZ7RBNnqfjFXmmXG1CnYtGEd6tVvgI6du6h6B6vkypWLKjsLFShg1NKDFd10nL2kYJAlyGaM9r3EJNxJSkbewFAkx6dQkJ1MWGy3B8lujwW0ye+nxV1AoseNdpE56TlkvPMkp1JmoGRYODZ7XNh94RpeLJgDqSRoWghZkhEQmsxAd3IKniuWH0OXbES7hq8plkC6NRlh95NTkvlQJYCHmocYyJ0hjKbiepwy0q+//ILqr7yCsLCwNMgqZfyy5Fdl4YpNYZ3DfMzJO6ukmP2qhQoUxITB/dDxg2Go/OyTaN+0vgJGTStcFbDq6bjsLkFGui2n8Vf0Jws4263yVELJ6ojWXG9dwHqfidOnYe3Gn9CoXl106dRBc2eSwN+Flat+wMKFCzFv/nxExcT4NBc3rWp0VlpYj3pP2SUAuMeS0dXicfw0bk8qhr/XDQnxcfhw9ERmJWoBZV6DFoDmqR1Ng1vZEqRvNj2XtZLff9+NjBkzokrlFyWTrQRcVTFeQFjkQwVBe7RAm/gYRmSAO+6O3fTZAWQ7gmveaQRrnZKaik0/bcGqH1bj33//xTPPPovX6ryBAQM/pqCONQIgieBg7pPbqEUr/LZrJz7s1wfFy5RDmXLlDaDNFspqFi+Fr2Z/jf179qB3334oXrw4+vR+F1kzZ0QA12p4iEM88S/mjvHEXCc11c0E7AdiRZyK7GRSIPagTMkSWLF2E0oVK0JNPlgj4Fibau+kZsfSCtFGEoCAAA9GvdMOH0yZj2+H9ba+BQUB1oCl3puVm/diERkWwnLqWi1b/tYaPEyQHRiIn/48SMH94G5tLJBNzGlGTpuPDb/sxpo545EvT27JXosojJZJpmICAxcmTpqErl27sfZCJjCHyKR2kM3+JtYADdt3Q1BQCBVs1N+VyBaFx1lIPQUHBzGLAvNLa1p5G56kmz169qSs47Bhw3zcxfsEIkqbVi2wc/fveLff+6jwRFlUKFfW94PbzMUdbqncUIBLEmjLX0UTE6R8Sm2KlCzPKVOiOFauXouSxYspVNUjBNvW+8uxivhGR0ZGUvaaDNIlShRHiRIl0Ptd6SctALeIdEzMML0pI8j1R44aja3btuOHFd/RvmCBSeWc9BZbWjat6pQJXJmbCaPw8UcfIcgPZv5hChHq5n3zDZJpPcmGroFsKM8VEoKUlGT5Igqjy7g/N1PKce2+ANasHYhtYo3EB0p+gzYtmuG3P/fgnY8+RfmyZfBk2VJK/XBlkUObtEfjFkWds/iYQ+YFbnpsVzKbvzeu5XgP4zi/VulSJbFi9VqUIH3B1/WcnsHvoluW3bx5k1ogEHeXvn370rGZAGObLi6Nop465vPR2LxpE5atWEktNx52FjWe3ut9vZXwx8hmk0JAfPboUPx7O17rpGTccBtGS3aAzYG3ArgZw83mPgYu2LdSwbaYwkmKzLVr1lC3lMCAQOzauQvv9ulDY1FUKP8EPZukwDp06BCeUAKH+dNilBnBUqAQ2U2kuzRPNgk9G9g2ri2GcicUXbJ0afy4ehWKlSjhhLFpKVq0KM0dXqhgQYVcePBCsiWQyON6a5FsNjUZ52z2lsvX8FKGzCyIGWe0CWlE2OwkBWivT7yBQylx6BaRB1EIov7a1KIymQRtSqUMbIdcefDxseMony0TAkKCEZgYhNTQIAQmJVOTck9KMnJliMGl67fgSU1RQIOUU6kpLJ/vODRUxHQu58GFgo+Rzab3drloTIbWrVvbcpbr8ThEs3LprDaXYakFqpCF6ftyZaumXLA+ka20adYQv+49iJ5DxqB8ubJsXtAAsgqcnRhtyXx7nIA5tSQheCHYQQlqPJTqEqcw25p8IhRVDqV06dJsXihRwq4IoDOnCxMmTMSx48fxzYJF1MrDt0+29KN2YqzJvlu3biIkLAJBIWqwRx2Eq/K5P2Py/Mlf4vcdWzDm6yXIkTsPh8wOxQDVfJemMLIz2uzOY8aOxeQJ4/mLmalDVXc1ArQdUgs/QHF5vEbCSl/xpCYj+cYFuyZIgGtN7SA0BBJ0k3VKSip+3bWbgmvCIL1SvTrq1m+A/AUKevUZoCKV8vHj4+PRvF4tah6zbP02ZMyc2UI4BGAH8DUJfELXVEAGft2xHZMnjsezzzyD7l27InPGDGxgIk2GRHT0uNG557s4dPgIln4zE3ly5nQAJQ9QlVxakaygAMzMGZ9FwWNAX9W+WI2DHHMz0yGkMlMisW/ojEUokS8Xmr7ygnUNFh1Tb1ykCRCQ3Hz4dGTPGI3lQ7ppwpb0x+am40TbaeXFDsT567fw9oipWDHuYyqQMaAdhPW//ol6Xd/HkF5vY1Cvt3l0d+Frz/zume8I84ek/vGuAFy4fAXv9OqFRUuWWTn6CGAmvh8pPKgCWZN9yW6mJSYaYhpgxO3BTz98j3LPVUZExszcb4S1jywRwXitRA487kKEjfvxCfwvOUyoGjn9iNxPvkW9unWZ+awlOCntzMGqQub/FNIL206Ij8crtevi5q1b+HXzemQh+cytXKJOwNobyLZrnDu/OwD/HDmKZV9PQ55c/tYpfxufzJEKFIz9qmbYUOLZorY7nWvss6Xm4/e8eOky3mzZCjmyZ8fypd/qYMhr8QaW2SC1YeNGNGz6Jj7+6EN8+H5/480ehcJO3su4OE81pdcB8V0LVdJlPM6+EBuf6PSk+iPyvVWrVMa0adNRrmwZTWBi1kSyHdqikSuCJR2zDSEzISEBL9dtglu3buO39SuQJVNGfktfbIr+dHKXDo7f7v0+/jlyDEvnTkeeXLm8t0Nv10/zHHlPu1+2DsTluT5MFhUGSFWmyueR2xcvXcKbzZtTF5fy5cvTNIUtWrZk1/AiPJlmgQKQi+MbN25A8yaN8cHAQej//gdedYZSX+RNvPS/iN879eSgwABkiHx4P7y0SkJyKv44d4venMkhTPagayv1jMwGwHLcy226tgIx6udr2xzYC+Fy0KCBqFa1KmrWqEH7DZkXqteoSeeFX7ZvRZYsWbFq9Wpcv3ET7dq3twRsGcBID2jEogxLH001MNKQvj1w4ugRjJ4xD1lz5NbeXwq87DnZ+yt5cGF/H7ZP38/qQfHZtBgr+/Gtmzfj4IH9lERhroAplnzkstZkXwpcqSlAajJc7mQgJQme5ER4iOtLYgLcicQV6CIqvj0YL5YoiMU9myIlLh7JsfFIuU/WCUiKTUDy/UQkxyYi6X4y+v21Hx/kLojAJA+S45KRkOxGQqob8ZzVJvLLgeT7+DrxEmoEZ0bN0CwIcQHBJCgfMRsPDkRYSCDCQwIQEhWC3Un3cCIxHu8+XRohMWEIjQlHSEyktQRGx+DDxRvQvn4NGk0+IDIGCI+CJzgcnpAIuINCkRIQjCbNW+Gbb5dRkoqA+sQUNxL4EhocgKfyZnrsfeHq1avUwkkbx5V0SjrLqAIgc5+XMZ8UP+bUhIREVG3SFrdu38XONUuQJVMmJdiaHshZkEQqQ6yDa5c213bp3hP/HD6EbxcvQp7cuR3HeEu+s55Xf3a7bOdjBlWwlGoZTLJvfPDBByhUqDB1sRWGYL5AtmYSrgQ3FPsvX7qIvp3eQqas2TB29kIbi60CbvjhhUiefPf2zRjYuSXav/s+2r7znjUu0qRF1rYydnDSVIwN9mNifBVjqQe//vwz1q1fh5HDPrX6PxsXpOWypZQKDkVQZn0Me9DyyOxDSMCBgPAYm7O+FYnV8uUVidwZ0EpFADZt247u7/SmguivO3dTf63lK39At57vIne+AjxohPNCA0nwqI1kEPMEh2LM9HnUR7Jrmzdx+14sjTYuBhNyfqLyO2rGk+rB85WrYtHS71HhqafRqXNn9B3wPo6fOYtUVyDcJE0YDZDDtVcBIic3D6YWKKOXp3shkQ6VHN8yeqEApQ6BftS0aArgZWtZ1x92aIYlm3/DX0dPacEW6DmqCbgrABFhoYgIDUG+7Jl9gGwxk/EgaAEBiEtKRpfPvsLUgT0QQXIB8+fYd+QkWvQZgtdfroSPenY0ovbaoyPKoEIuDBo0CB8P+YS7BBgKFstfxAywIJnrHWtXIjyaaaLE2EvOrZA7A/6LQtieYCsCuQNTpgmieiH1nSdPHly7du3hHsLjQVhYKBbNnUX7QuOWbREfF+8fyFYmMA3c0AFIKIVUOtLvh7JdR15PP8cOgOzmVekPkKYvTJGmaNH5c0SEh9Ec74RpU8whlGu7/V7IPf7etw+t27VHnddq4YN+fbQcjWyw9/96vhflGY16cBnCSHC6AgQ9XF8gfuC03yqLYqNibZFxZ8aMWfh67teoV78+Zs35GlevXadstptHVhWpTxyDafJANVYATWUcDYuIxOI503A/Lg6N2nZBXGKy/beOmS68B7u0As4owphT4DP2aoai2TxHU8M7LI5FUdn7AtmaKsOVBsjWr01ibZC81kRhQmIMtOQg2ywmyPZW9v+9Dx3btkGt12rjvf4kh7r3Ih/FHoE8vUXl9EUKI7GQee+/KAQ45YgJs3qnmXda9AYzQJDT22jsjbGoupdzZ8/i/LlzFsi25oX58xB7/z6aNGuO+Pg4PP/sc9i1k2VZsO7BAb397mrTE8+i8krqfpNVEnKFHXfY3kM9TztXbc9iUS3XJItW5aWXqJKTMIvsfHugWk0JqVhXWm/BXzgiNJQK83mzZuRDLQ+AJszGCRPtdltm44SJDnUFcKWEIArkciYlAQsSL6NEQASqBGaksiiNQi7WhDgg5uYkiFpSKl6IzIhz92Nx7NptpCYkIzWRLyRIGme233r5Gcxc9RNVGBDiBZR4kWnACEFK4oBcvXLFcZgp8hjj16iFKO6IhYxZdELOiCquMcq+gyazbZFJSE8JbM0TgcEIjYzCtzMm0nmhYYeeiEtKUQJiKlmOnKKOW6m91DlHDUbG2k1SUgpOnT6LI0ePYf/Bf3Ds+AnExSdYGSe0bBVGcDRrnuORyO3ZjqRFqDof0t8hANt//hnNmjVD02Zvos97/TgxmTbI1o4rKb1EgLOQsHCEhodT1lm0a7JW82XrwdI8tkWd+Y8dOoBhvTvh+ZdronX3Po5txiSobGbj5lhj7gMwZepU9OrZw24yrijrxbGAqEencHpkjDYpHncqkm9d8cJgcw0LtXd30YjgxE9g85YtqFq1Gho1aYICBQsp2hOnfIz2xiAmKzU5OlkO7v0L3ZrXxwvVqmP4lDnUL4Sx2C4a7EFoSei2pg1h2o+Df+/DrOlf0UmoVatWqPnqq9RvJTU1hV7LYlocBfx01ZrNvEePfke0raqmj+VJVJluuqYBMZhmlm5zAf72nTto9v5ozPiwK/Jnz2JpcylLoAr4hOk2moJmLk5BNg+EJnLKugLQYcRUtHmjOl554SkrpcK5y9dRqWV35M2RA5sXTUNkVBQbAKzI8TJ6o2S3mZKBTIrbduzAkKHDDQabadRTFM06ZbRTJastGO7P+nZFn9FTrQmNnJszKhTVi2XDf1XI5HqPAFtVcDW2HAcOAKNHjcIrr7yCZ5999sEZbQUc/vHXHtSs1wi1qr+CRbOn8QnOB8gW+5SiWVwopuNppTTzr6h5hPX9jiDDBDAmS+2NUXRkyXWQoQVk9FZUEC/fwHH/2XPnUPXVWlSjvfHHldQcnV3jQRQVaRVf7ymOuxAQFITgiEdjEuVvX7gbR0xmbU+l/231Bxcdd9esXo3169fRFD3PPf88BQsVKlSg46+uHFGZb7cPppv0hb9Qo35T1HrlZSyaPZX6gPksvqZHwTJzdxXaF9Ky1kirbaVR0me5oQ8wdlN4L0y28YwnT55C7z59sHTpUupT6cxce1MgSkab9IWar1RD7jx58MPa9UpfSLsXSFb84fqLAE7iDcmcHh3x6NMYeStE4f/7uZt0W2Wxmfzhg6VWGG6fxw02mLi6EN9saiJuuFT88edfqFXnDdSs8SoWzv8GjZo0w4oVK+hY7Pa4bOy1nqZHFdSFQM7n4JQUBAYR01RzjJQgW1gWqsy7y3wHhaVW2Xrpdymuq7PagvkXrP+USRORL19eNGpQn8lSPG2PxWYTU2u6ToaLMtps25OUACQRVjse7oQ4eBLi0HjgOHzbtzVS42KREhuHZMJm8yXpPmGyGau94fQl3IiNx2uRWZAYn4LEhBRq0UDY7PhUNy6nJGFS/L+IcQWhTXAuCsip2xlntMkSERiAiKAAhAe6EBoZjNCIYNwJcmPyhXOYUPUphMaEISRDJF1CY6IQlCEGwTHRaDZmHr4Z9h4yEouCiGh4QiOBkAikBocjNTAUX0yaigpPPYunX6hkkU4JKR6EBQWiZI7/bl4gMkRiQrzGaDsy1sTwWTXpNdqxsxunOhh5GzPkOPjH3v14tXFL1HqlGhbNnELbr54lwsz8o/hyG77Y9+7HYvuOHTTC//Hjx6lLVL58+RAaFka34+LiqDssyYxDCrE+eOGFF+hiRWBXiQxr8HPYp435nAiEi16fxGEhfZAEPouKjralCPSJq3weV/u/tBhluieReUBmDXD6Amr/vXrxPHo1q4NsOXLjy4UrEEmsYi1mWmI1gd8Ee62x2fw8G6OtYLojhw9hyuTJmDJpvGSzqdWwtPYVbc8VEv7I2OxHDrRJSYm7h1vXrmDa7K/RqH496iMjtFJkfenyVYybMAFnzpxFh44d8Ur1GnxgV7QgllmS+VHNfG36cfbBpdnCL5vXY0j3dqjXqj16DR6JIMKuUJBN8sfyNQfd4m/LvJx/3Js3rmH5t4ux+adNKFa0GMpXKI8KTzxBfTZJDlEN7JDib3Uqsgxjm3SgzYC1buJkmtZoYJuCbAG2UzWwffrfi+gyfDKWDO+LDJFh/LpsoNLNyJVnV7W7AWoaL+mXPXbhakREhKFHiwYWyL5xNxYvt30XiUnJ+HnZLGp+y7RsMv2BNBvXtZBECGlQvz41GScMlGUuzhUpFsgW/k2KuTj1fXJ7kJCYRO/HzM3dNBBTaEQU6pTMgcwR/w1zIQp5lms3b2LWjOlo0KAhihQt5hfQXrxoEfUNbty4sQG0TXNZE2irg7LyPT0e/LhuPZq16YguHdpi3GdD2bc0f8PPTQtkm5sPVBwYCjvY9gc4phNsW5dwAB0q2Pb56M6g2gTP12/cwKt16tHc0Ns2/Ej7gjxX/PMohl+nd1EPs3cj6d5iiDAWGYMA0v/+wxKfmISr129i9szpqFe/IYoUK+pYy2ZfIHtSU1Jo6rMtm3+i1gGZM2ehec5r1KiBMOpnbpiYi7HU6i96YKAf15K+0IH3hWGctXP4Dn4pQ8w26qPtaO3YPE+Jwmycod3dR7u3TnBkqOEHk23vL/fu38ebb76J6dOna77UTgKUfR9XygG4ce06tehITErE+p8206B36ml+AW31Jg9UJMgm8wKJ9h8TEUZNx//LcupGLI6ev4qVC2fjldr1UKBIUUsoFLKHCboD0wTXdoB68sRxDBs6FPO/maf0C32e/3HtWrzZ8i10frsTkpOS0btPbxQqUpT6dJrm4Yyx0uU0Ozumr7XadwTUqum4/b3IMdNs3GLPHcG2BOLCzJ6k8nnzzWZYteJ7Fn+GCtQpUraywDUxH08G3AxwU7PxpAQKuAnIdifEovngCZjdoxkCExOREhuL5HsEYMfxdQKS7hGwnYihe/9B6yy5kDE1AAkEZCekUotKArKvpaRgctx5pMCDt4JyIxKBlptYkADaLhfCgwIQEcgAd1h4EFsigjHnxkU8nzsrqhbNg1AKtCMQmiEKwRmiERITjVV/n8CNxFR0f6spXBEx8IRFAaGRcBOwHRiGHzb8hEtXr6N5m3YUaN+4dQfB4VEomi0KEY85VoFZkpOTcOvGDTq+NKxfH0WLFLIHHdbAtq5Y9WrFprY7hzFDy4JEVy6sXr8Jzdp1RpcObTBu1AjD8kFaLqk+2kIxT8aTFStWYs3atdSK66WqVVHt5VdQrFgxRk45FHJZEueFuDbs3LkLO3/7lbo4Va1WDfXr1UWB/CKAH5dIzPmI/C0CI/LnOHr0GGVtiezRp29fPPnkU1rUcAa0/QXZTum9ZC5tM82X+ARapHGfOg4X7t66gX6tG9DsJBOXrEGWbNktBZk3oE0xmorVlL+dzcbZWNC3bx906dQRpUoUl24jdByQhOO9u3cQExWJoCz5qOn4oyqPvFcFhkdi5Zp12LNvP06dOYevpkyijfJebCwNBkS0473e7Y1nn3uODuY2fx9TY6oymhZzLUxxxDns2I3rV3H+zClkyZ4Lly+cw4ljx1CpVl2snD+bntt90AiqwabAmoNtug4kABwIcnsks+1hg16GTFnxdo9e6NzjHfx79gwO7P8bK1b9QPPekk6hmlaFhoQiPDyMMhsBAYG0w4njpCGQv8kSGhpGNVdRUVE0CNvzzz2LmOhoGhWdBMFgYFsaY5G2yjoaCQxGqtOlbIsAacwMhwlqTGASQluhvLkxsmcbtB8+Gd8O68OibtPfuVneZyvAmtPMSEzE+UAjAHdgIDb9cQCHz/6L2Z/0tcD39Tv3UatTP9y4fRfbFk9HjmzZHINIyDVnxqn3hAvz589Hk2ZvIjwykn5nTfummIXJTqz4hPDj65YtQOYcuVHxpVexZsEsbP/xO3To2ReZK5Jo1f9tCQ0Jxo+rVmHvnr04ffo0Jk+Z6lsQ54WYaTpG4fWb9rGfWLd2LUwaOwo9+g6gZu2fDxuc5pM4mnTTzUcADmmjVqEESc/EBXNjP5tQ6BPJ/U5Bz/g20yGI46zf2FJjWPdXr8WVxH49vMPErtTL9RvXUbt+ExpIavOaVciRLasS/Ezc5yF9s6064RGLRdheUW9KnUyeNh0Lv12K9wf0x5stW+N/0hdWr8LevawvTJg81a7lFp9Kq0oPDaz0QqVKeLFSJbrnyuVLWPn9CppiKmfOnFQhVa1aVQTRvN1c7KBjKU+J4gnQIo2/8cbrmPjF5+jZpx+Cg0MwevgQHkzNeB7623SAbfYjP2pDfDPJ8ulb5v1c/oNsh+I3k20Ac8LS9+jRAx9++GGaINvprirIrlf3dRpgcO2GTTrI9rNYCoiHtAggv54+dQqWfLsI/Qe8j1YtmuO/LvkzhmPWnDU4cmAfLp47g49GT5RRx41nVb6ynybkDGQmJSbivb598dVXU20gWx3X69apjYnjvkDPd/ugaePGNDr5iJGf6cCVyiIkWjrLYUBHLkvIZ08tZytl/DEVtrztac9qgGzT5FPdJ6/P7yCGO174I9H3o6ET+SNEREaibdt2GDd+PN7v35/LZExwosotLpNYbnIMokuApaQyzZstM/69cQcFo8Olgk7Jn01zW6e6cT0pCdkCg5GQmILUVI8lw95OScG0uH8R53FTJjvMEwgaUpOn+fIE8OCvBCS4PVQGDSQp3lLcCEx2IygxFc2z58KwEyfwYp7sCCRRx0OTkRqahMCwJLiTk/DGUyXRePRcdH2zHgJCkgASYDKYsPapcAW68ewzT2PQ4E/Qsk17fD19Cr5bshg9+/bHE21b4b8uJFDYqlU/4K89e3Hq1Cl8NXmSMq+rjZ/IiGw811zXmGAsG4DDqMSauzEnqoWPpXVfr4OJY0ehJ5GRQkIxegRRwqrRu9l5wtWAkDtbtm7B4sWLEUtMzxs0wKw5c6gLpfJUlmWHw4hO57YnKlRE+QoV0bV7d8pyb9u2FaNGjaasNEknSrLQlCtblgVbVX/Nmx8B1atWrcLqH39E3nz50LlzF5QuU9YKEq0GNGNss79Mtq5As4FrC4tJJpsBbf1vp0I+8e1b1/FR+6a4e/smvlz4AzJmzWZ9K6omt75t+sZ8jeTnlyD7Tp86jVIlSzCQbcpwREaaMQcLln6PD97rjWZtHyzd5H8GtEnDbNi4CU6fPYdmTZtSILVh02Z8OW4c1bB8Onwk/XCEkVS1IWqgDWGKID6y6tdi+QN4PDhz4jh1oL9//x5ebdQC88ePQu5CRfD0y68hQ858KOh2IXfRUihctiLmjRmC37dtQvsBQ1Cl5usMYHMTnWA3MSFzIYXscxOzBA8C3S6kco0IAd2kjefOXxB58hdC7boN7MwLMYNJTERifDxS3ak0sBsBTOyQ8ONxU3PbhMQE3L9/H/fu3sXhw4dpZF7iR9uieXO82bQJAqnQxwP5k5ZHZUACRFL5JEc0sUxNY4Ft+QGUKY4P3gCeLlsSnRvXRpdR0zFnYDeepssA2yJ9mBPIVvy7D525iAlL1mD5mI8ok038sinIfrs/Ll+/iU3zp6B4kYIOOQf19AgidzZZ4hMSsXzZcny3cpUCqA1/NVu6AfVv1un/3vULeg4bR98kMiYjDQ5XLv/jD4DmVMhE3KhRI5w+cwZNmjTle9MeOEhbyEaUFI7sZxrAzAdw69S2Nc0r2vv9gfTvz4d+7Kfc6o3Jfkh2SasKk8cz9pt5X8QgqYDJNMG2dnuPd7Dt8xt5MeVSyvXr11G7QVNcuXoV61cuR/Eihbyn6XoYoK0oG0TaDwZGzNdwIWPGDHTsyZg5C/4XhQjpjRo2oiC7cZNmjq9tZlwTxYSR2XPkQufu3dGle3fqg0pysU6aNAkFCxWicw4xwSPRlVnb5pY7SjRaUkudOrSnY3Tv/u/TC48ePlQfR0VXUnObPhLrA0utZIMk5mezmAprZWecHZ1dHUsaPtkObPuoUaNQuXJlujwQyKbKbwayiU/oqjVrUbRYsQeuxYeD2LJkyJiR9oXMIiDef1yIYr9F00a4cO4MatRrzP2JlW9hDD+utBZhSq2A1E8/+QSdO3dGvjx5jCA/xhziATq1b0vnBZIuNX/+/Bg4cBDCo6IsgC3YYXY6VxLxcVNKGBJ0swzHzmOoeD7LZNwA2ZZntPU+ktlWzU1FNVnTgzKUk+IWOcr5NNOkaVO0btUSx06cQIliRSmYZSDKrbGWNLK1ymJa8g9bF8yZFWev3UbBGBlIUsh21D/b7cGN+ERkIHF9SLTxVLcls95OTaHm4nc9qXgrOBcyIBhJRqA/Sq7xZyaRLQIRQCJUIDDFheCkVKTSmAKBqBAdg81nL6NWeAEEUV/tJLiTkuBJSkJweBgqFMqL3/cfwvPPPAUEE39tZvlIvkuuHDlw7dpV+koZM2aiGRPyEbfC/0Ehdd2QyEinT6NZk8Z8+pYWC9ocz+UfNscZJIBT7mlxTKzUAKha05TjKp0XUj10XiBE0OjPRlhgWwQXI+bgixYvxu7du/Hyy69g6PDhyJ07j2I2rd2Zxwww3ltbSxVbSGgoatZ6DbVq1aZuqiQN2tKlyzBkyBBKzBUoUIBaO5LlzJkzNHUdSVVVu04dLFi4CGHhEQxgi0w8CjElg0f7Zy4urIp1PObR/payN/8yFqvN/vY21t+9dQODOjTDretXMWrucuQpWIT9Rija+TM/qGJVrV+yXL9+DZlpMGBnKzeyzhgTQ+eFDNlzPdA9/1PTccv3Iu4+zcvYt98AqlEc+PFghEdEcE2IEr1SBdmcmZYmw9wvl6SM4MEhDvz1B376YTleb9kBh/fvQUymrChSriLCoqINP20xDbBOu2XZPCwYMxgv1W2C5159Hb9vWo2XajfAsy+9grDQYARzs3LLtJwy3twXwDBLEIM/rUBRkdbf/jUMMXYIn6vU1GRMHj8e/xzcjwnjxyELiXpOImFaAZOYXxFLrs5Mvy3zchE1Ly0z8tRUzFmxHkfOnMPo7q0Vs3HW8NSmwOQ3AYg56HYF4PKtO2j76UQsGNEf2bNlpSD74o3beL37R7h64xY2zZ+MMiT1DAXReiA3m28298smgY5mzZ5DzcWbNW+hmYtb7UEzG5eKFxFxXJiOb1u7Cs/XrGtNbkWyROCZfI8/iqa3Qur0XlwCHzSkJt+qY4c2NHbMGFQiDN6LLxpm4XaTKWnG7HY8roEE/n1JWrve7w9Ct47t8MWIIdJPVRHCvJuL+8Pw+VMchH2/zMjV34rfm9eSIMQepVn9ncPvbcUJESp1YNQTiVher2lLXL12DRtWLEXpkiX0yV67njkDe5uOfe3233w+ICT8P/XNNgvpA7fux9t8N9XCHtlBQNeOqyBD9qfjx4/hu+XLsPO3nahSpTI6deqErFmy6Kbk7EGsfdNnzETvfgPQrXMnjP1shIxfYJ1HNxzM9h5NnZggm12a51a2V0zagNnoV/6Zi+vth9x35cqV1Mdw/PjxaYJsE/AIYfjSxUto3LA+rl29SkF2qVKl7b9/tNXpdyEmxCSV5f+qkPnpj/O3qOuTZRJprRWzSe655c2EXDOf5Nvbtm6h/vTTv5pqzxFrU+6JNuHCVzNnUbD9zDPPYPPmzXRuN2PmaO56Xlz4pCJctAZnX2rVj9r5b/mu9PdK+jL1ulJ1Jc6TqatUs/N/z53Du73ewbKlSxBGTchFDBw18jgxG+cscEoikEzMxxOp2TgxH1+99TdcvHQFbV8sh5T795F05z4S78Qi6W4cEu8mIOluAraeuYTzd+7j9fDMSIhPQVxyKi4kJOLLu+dx152KdiG5Gcjmgc9U1Qf5jtSN0QWEBzL/7PAAFyKDAxEZHICIkECERofAExGIj08dx7SXn0N4xnCEEfPxTNF0CckQg9P3EjFhzS/4anAfuCIzABExQFg03KGR8IREous776JP/w+RJWdu2heyRf93cQoc8UJ8nBV/SLr9iG+btnJb7nIaSQzZwYcrmmCrp5G+8F5/dO3SGWM+/xzxCQlYumw5ZY7z5c+P5s1b4PkXXlDGTCXFrHhU5bFs8Y/4Pb3Na2xbWnyQcvfOHVy+fJmy3uR58ufPh5y5cuugVgO60oxbjSJuB9veg6GJAGeyr8t4DNa5CqhXgxJ6+xo3r17GJ11a4s6NaxgxZzkKFS/pmElBHRMFLvPHdNwyNVfMxonr7/FjR9Gja2crRoNT1PGA8GgEZlBc/B5ReSwOGaTCSBCrZi1aoWPHTnitTh0tXYTq72Ot+UeloEkBUWRNtBH7//odOQsUxq9bN6FG8/bInK8wnstTyAJU94m2j3x8sggto6IQea5+a7hdgVg89mPKJr/Z6yMc/HULSjxbCfMmjcUL1WuhVLkKCA5igFsF3tKv28NMwLkZlTNQ8k9koI2K/4Y1lCC8+14/7N+7B61av4UvvhiL0iWKI4AycWxwICy2B6SBMJsqZvJN9qdSUyN6e8OMXAjdVKDzeNChYS0Mn7EIX367Bn2bv86vwVRJmqmwNSsybR4B2dfv3keH4VMw8f1uyJ41C2W3/zl1HnV7DKTd66dvJqF08aIaY21jtbWoiXLQW7d+PeZ+M18ZIOSaFqXjqgy3evDendvU/ETsIR2ubM4Y/C8L+c5hIcHUR9XfcvDgQbz99tv20VorxmTkcNwJZJMd3Tq0pebj7/T/CJcuX8bcqRMQHhaaBsh+XKKwyiz7Y0YutNleQLGqAXditr1RqGn66Zr3kXUknvXQkaOo16wV7WcbVy5FKZr328yVrWzb7uEAtJ2UBNZpusk7V+vLb24x3Mx8Oijsv4ko66svhIcG434C7wuqBK6ATuc6Nxg/vovpr9h3LlqsOD74cCCtfzKxdu/eHTly5kTPHj1QnOadFjeSzF6XLp0RFByCXn360r7w9Yzp1P1HTh6m5YP+zA9eVGUZ+1cKXVwRx89LK2aAVkdKXfkXXdz2VNi/fz914/n2228fGGQfPnQITRs1pN/ih7XrULJkKe9V8D8o4SEs5/n/qhB5okCmcJy4Hkv/VhVH4uPYBG5t0ZX+Yir94/ffMXnyZCyYP88Osh2BthgwXej2dkfq9tarz3vUimHL5s0IjYjwYnvBLO0s+2y+j81K9k6ijtj+gmzVZFzFRhp8t9oQN2qnj8HMxgM4CBB3zps/Pzp36UpdF6dNnYIAEd2ZXkR1cSPZW9wyI0FgihWDpkT+XNj21wFq6SeYb4sB5+VGYhKyBYdYMsz55ASMunOOimadw/MgxhNMA5BRAGSaFvPHJc9P5E0KHkjQPrcHwakeBKW4EZDsRlhqEJ7KkAHbz11GjfB8VuRxEYW8cLZMNChtSmIigsOkHyppC8Q9seKTFfH33r/wap3cyBz5v1M4kULqj4zBKUkix7wYchXfALFtUyiqF/J6B3Ej+bcai8XBjaZLl64ICgqh+ebXrd9A81OT6N2Lvl3CAkJaoFphcc1x0gF4yifispb1t+zzqspTii4uRMdkoIsoZDfBTeb9BcAWfwvSUYJt+bcvc3GKzQTQVtx2zaw/qqUpjHub5dzJoxjWlclIw+csR4FiJZzPdRD7tEHEV1F/w0tySjL9bto51rb8IyCKZF169OWxRQEJCw/H52PGoHad160Q8UIzwoA0WO5jsRhpu0Rev2+/no4xH/WBKyQMWfIWRsOu/ZApTyHEJqXKJVlsp1DAHZuYIv9OTGVLUgoq1GmG9sOn4sBv2zB9cB+Uf7UuEjxBePKV17FlzSqsXbEURw4fwZlz59l1klOpNjKe5D8kz0PThLFUYo6Lr2PKwt6RpRezGFleJ+WerIhZX89Dv/4DcODQEStNgZrqS00jINliNdUNifDNonxrKcB4tPCBnZrj32s3MHftdiUdGFEDKYv4HWeyj/17Ga0+HofRvdqjZKH89NiOPf+gWrs+yBQTjV++nYbSxYrY/LF9+2gzsH3p8hVkyJABYWHhNpAtkwA5C3nqvnMnj+Hw3j+soyWzRSE82J5C4r8uwUHEX99/yfzOnTvUHEjT6KrFAs9ejtvOU4Ac3+7UpiWWzp2BDVu2oXaTltTPx7/AZz7ul65ifFW/7iGVB74vrV5XUUhot1SvZfgnaJocc59khliKLrZ/xy+/4eU6DaiJ9vZ1q1CKKJzM1FvW741FuZa+6PlD9TRe5nOrwWPktrhuYGg46+v/40KYJKJtVrX/qhGG90XGZBD7LLcSa5tN/mSSrV6jBhZ9uxRvv90ZEyZMQLNmb+K7FSuRlJxipQcTKQc7duyAJYsXURen2vUb4frNm4oSUDEd1bYftghRSohV3hr14wDZujhn5rd9//33aXCioODgtM3FTZDtAX75+We8VrMGNdHesHmrBbK1Xv0/BNlhISSGyqP4hg9XckaHyflJBZUGwyX3yZRbVqAw4ccMF/45cBAjRgzHvK/nIJIGalUjODuNRer4xo693b4tlixagEP//EPj6Ny6ft1g0lXrPhm4TWfWFTbeafEXZBstVIftipygLFo+XwtoSCDxWu3aKFKkKOYRpb6SKsouQwVYMpMA2eTvQnly4vQVMT6w59Z0gB7gTnIyoslvPMCBhPv45OYZRAQEondEXmRzhSi5iSVYYWQTc6lM9niQ7IHFeNOFyoss3VcKT/f1RuZsWHHmXwmwE1mKL7okJ6NymSLYsecAPISpF9GVeWTlihUr4O99exEdFpx25oX/oJAo3y4yJpPCK9N7UFOHxSKFTDdFmfZKX4RsrKf9IvW/+889+GjQxzQWU9269Whawzt376L6qzUREhrGv58aI0guFmvMz9GzJqkuj+Y+JfWV7Zg9TZYw49bOET7UWpBC1b9aMf/2w1ycxhWwMv7IFHUMeKuBEcU9pVWyPEcu+//4DR+91YC6dI5auBr5ihTnw5BQzenWHVrfTsd84SQ9BgcFUwtr5zPZEhCZkfX1x1AeWw8jmtEypctIbQj9YCI9k8JaK4MIzXGd4sb1W7cw7pMPsWX9arxUvzn6fDkbxZ6qREEvA9UEQCtLAlmSrfWB3b9g9fSxuH03FvcSktkSn4y78cnIW7Eq2o35BlfOn8aIdvVxcN9eROUpjDpdBuCJ6vVx4849zBo7Ap+80wF34pNw5cZt3EtKwT16LwbYBQgnYD6OLByQxyW7bUu8sSSQNcnnTUE5y+lNAbfF5oMmgZ/19Vy8/8EHDGyLwGHKhGBtc4HROm7l4FNzbCspuWjE8CB80acTfvn7MFb9/Cc1EWO5tdnvxN9i2fTnAfQeNwdzh/bFEyWK0BRtU5f+iNe6fICKZYpj64JJyJsrp4zEyAe9uIRENOr0DgZ/Pt6eO1YR9n78cQ3eeKOuAb28AT3vMOz6pYvImpOF5I8JDULpHP9bNltn8vzTGhPTIM0/mxQNUDsMRSpYVM4nAHPrjl8weMQoJJA0GsY1675WA5tWLMGJU2fwYq362Lv/oHpD497GfvW4P0uaxXkkdYoY6v0hjF0G2NZzZiu/097RfCZNjLMBbOJ+MXXWHNRp0gJPli+HzT8sQ95cOWyAnUS+bdKmE4Z8NsYGpr0Cai8AnD2XwVLx91TUytZzk/4cGB6F/y99ITqcRfO0NRNfug4/ALfbBsA9KFWmLCZOmYrpM2fh119/Rfny5TFmzBgkJCbygCtsrHrj9dexYd0anDx5EpWqVceevw8ovpuKMMfeQj9mA66uNAGtXiSf7aOneatRneXRmJp0XANAUnIyunbtSusnS9asPkG2pSBRxmsiaM2YPg0N69WladjWrN+IPMRH2Ph9XGwcWrd4EyOGfor/BZP8v2az1b5QIluUBaKtfxVfawqmBQC1/Jt1s2jyq0sX/8X77w/A3DmzERMdZU+TpKby9LixdfsODB42AglxwmRXHqtXpxY2b1yHixcv4ony5bHnzz9IaDFuyScBs2qqaZpyCnNOPUK6BOFpgWzdZJyttZlPaXvmeGEybiageLdPXxo46sA/h1i+YTU4qwDeivzEZCi2pswrj2vDSAqT2QZiU1MRERCAH25fxafXzqBQUDj6ReVDxgDZ7sS7JHncWIer2I1b1n4JepiMnETAt5CVeaaV1BQ3Ij0ByBQUhDM378KdnEqX1OQUuJNT4ElJQd3nymH1jt3cP1tmqyFLmVKlaIygqP+h+4RaaGqzUME4yrHWDradFknciHzT1mLkpRYyMhv7mU/+t0uXoVGTpmjdpg0aN26CtevWoWnTZlj5ww+Yv3AR1q7fgJMnTqBq1SrYu3ePF9AswbUKvnWTavmfDSQr7djedp0X3Q1XYZ7FojHQBqg2cl7r8bJk29MAtrLNUrMbWQlUBQAH9gK0r130NYZ2boHCpcth2NffIUuO3FKi4u8dHxeHId3bYs64kUq9CbN7j1fgrYl6uubXKqGhIUi0AW2lBAY9NjablMeqygoMDEBwcJAFssVHooCb+tVKJpsAT5r+IDkVk0cMwVMv18KTVV+DJyiU5h+0wGwSZ6g5yLaAdEKKtfz87UxcOnkUJw7so3/fjU/Bnfhk3IlLxu24JETmK4kWny9CaFQMJvVohs0rFuN2fDJuxychY8GSaDVoLNoM/hK3YhMwdmAfDOzWFr/v3oU7Ccm4m5gqgTd5luRUCbwtZt1g29XnT2EMOQHb5H0tTWWqqnxg0c5nzvka/QcMwNHjJ6gfswDWNBc5B8Z0myetF1pYCbYDbBOFWAcEBWPawJ5Y+9se9J/0De7GJzBzKH4Nsvx94hxaDh6H9bv24fuxA5E7Z3bEJiWj7aCx6D1qCs1T/uP0MZSNtrTAImqnKwA3bt/D9Ru3aI5CazJTWSE+gP766y+oUrWqzexEW9ODvtvbcy/XwAvV69DLEr9sIlT9fykk9y9NLZJGIXlM69ata3FdWvGCBTWQbYDOMRMm4+ChI/hjzz7H+z1TsQJ+Wb8SWTJnQtU3GmPuoqXKtdNAySo99XAoW17HZtbI0995BdzeGogDCHV8fhNsK4vBHFvPwRcStK5d157o88HH6NL+Lfyw6GtkiI7WWGUBpG/dukmtBuh30EC1uZ3Gwk3VZVAj9ZhRh3wdGJVRy47w/8HCg5iQq83DV6vRhGkDcEsBRzGLMy1iPB7ExGSgqU9KlS6NuIQEmm5vxcqVUv3icuGZZ57Fz9u3IkvmzHi5Ri3Mnb+QjVsqaNb8+VVGxYl+826irZ2mMNrSAJe9uX+9Rz6DFmHcr5+KgFEufPDBB2jTpg3KlC2bJsjW5RkP7sfGonPHDhjQ7z10fPttLP1uBZsXzOIBbt66RQMG/vWXsD56/EV8HuKX/f+pLxBGMU8MiWDNn1GJ46GmvxKuaubfZImLvY+uXbpg8sSJdBz3BrJdyjJ2wiT8c+gw/vxrD437QvcruWWfe+pJ7Nv9G82OUu3llzF54gQOoD2GzyQD2zKeDQfd1jEVXBug2wfItnqWBbIge74JslVVqGLhokdNloCAyCmTp35FZauLV65SGYoRGJIBlelIDcAdGICMURG4k5BEtwXYFh9DvM+Mi/9i6vULeC0yM/pnzI9wwdaqxQMkwI14uHEVDASo72Ex3ArYFnIzAdqpyW68miUrNpy/TLcF2HanMLBdLEcWnDh/yYrZQ/1SuVIlJDgIfXr3/n/VF0gE7sCQEEewTcZnmcuaLRawVlNuaa6JQgZWQLjLhX8vXsS8+QvQoWMn1KvfAAMHDqRKpaZvNqdWT4MGD0G58hXofQlwrvjU09i8bQcyZ86MWq9Wp+nyTKZZnXs0RtoJVFvnKvOXAbidWGxxXLLZTte277ez34YfthHozAo4rWynOLDYVsYnAeg1P272XvFxsZj4UU/MGTUItd5sgw+nzkdEdIxiys7nbnio6+edmzdw+G+mzLCU6tb8L+vK8onng4H4W4qDOjDPmjUrnXO8FeKX/Tj7wmMJhqYWcvkb9+Ipe2uBbK4tEWbTBGjeuXsPE4cNxCsN3kTR8s9YAJSZVwsw6kYSZYPZmgw4RLtIrmNpXEjUx3PHcOXYfhSr1oBF1PbYfYTIROBJScLuuWNwaPP3KFO9Pl7r+hH1gQgJCmBLoIuuk+Puw5OciMO//4Kd61ehcMkyaNP7Q1w8fRyZs+VATIaMdHIRAQ60CrYmT11bLXJ6B4slUPqDs4WlILt25TK6deqAqVMmo3CB/AhQ82tbWkrp2C8c/dlx0vJJfshUa00DpKWmsEBo/Debf9+H0XO/Q/2XnqFppS7duIVDp84jR5ZMeL9dE+QnDF1AAP4+cRbtBn6OMxevYMbQ/njzjRoKwA50DIB28twFZMyUGZlJUCKqGNAnMDL41W/QEMtXrEzTh19o71Q/frawtrB1/WpkzJYTdV6ugjL/Y99sb30hNp4ERmN/O/n4N2rYkPpGhhEGXANMKoOpmIRboI6eqAEuAsYOHjqMnbv/QIe3WrBATzbGk22TVHV9Bn6COQu+RZs3G+PLYR8zZkRc1/GF1GPehhHV7Muf4u18EaiEn+M0KKoBwbztVyOPqrf09oC2IFp0A/sP/IO23d7B2XP/Ytq40WjWsJ5Wp1p0X/67k2fOIFOGDCzasT+aI+tdbQ+rAT7nemHbJLhHEAmG8/+siHmB9F9vxfETezmmwV8RNMnAv4f+OUgjxbZrRyKOJ+OLsWNw9sxZjBk7hn4Tl+gL8XF4r19/zJk7D2+1aomxoz9jChRVeeM4bfL9tnbo5Xye0kefnRyv6mxCqYJ/q1079x0nP0RVkCU+2SdOnMAnn36aprm4yWQTn24Css+dO4eJk6egcZOmzqOCwkKcPnWKusdkyvz4WARRXIrJuL+WRf9lIULp4ct36bxmBvMRgNWbmTYZ+zu0a0uBdpVKL/gE2apCkc4Lf/yFDq35vECLDmIISElITEKHrj3w/cpVeOXll7Fw0UJERWegl7HMTJW52QS3apAopz7q8gKyyfupxTIu9QKyqXWRgwLLV+7xU8ePoX+/fli+9FuEhwRxGYoEQ+P5tFMSaWA0V3IiPCQYWvx9uOPv4/M5S/FcoZx4Lm8WJN6+h8Rb95B4OxaJd+Kx/9xVvPPbX7iXkoK+2QvguaAoxCa7KelCcmjHp3romrohutlyG8kIRQDCqDe2LMEipzYJhhYYgKigAESSJTQQUWFBiAwPQlBMKD48eQQzXn0eYZmiEJoxCqGZohCSMQNCMmVAx6nLMPHDnsiSNz8QkYHm1HaHRsEVngEhYeH4/zgvJMXH0cw6/s2RPszLuZ9uYmIStWZav2EDzfKTJ3dumuO6WrVqyJY9Ow4eIPPCLrRp156SgxZ3Ab2tkQBkH/Z/D/PnzUXzVq0xYtTniIpmcqZ1rsLCqvt8voGiZGNP73KWD/k/jn3AkaBSLL8sBZQerJDFzlJSeKlMthKQWv5OxsBSQbuW3svtQdz9u7hw6gSmDemLm1cvosuQsahcuz57O02RprikBLhw+dwZiqcyZGJEWZBTMDQtr7YeAI1a2hj7iULv1s3r+OjDDzHzqylGDu1UBIRFISjq8QZMfuxAm5SklFRcvhNvmY2rPtkEPCekpGJo7y6o0aQ1Sj79AjMjF2xvijQtJ+BaAu1UDrS5KY3SOIRpYUpSAmJvXKETRnBkDOJvXkFweCQiMmdHIDEV4B/wzK9r8Pv8MQiNzoAaPYai8JPPK2CbL0EBFAyTofDauZMoWKwEVs6agCvnzqBQybIo91wlfDv5c/q+TTq/i1OHD2DvL1uplu7DCXMw5/MhyJglG8o9/TzKPPWsArDZdUMC2JrsCxJreg5w6d/z6NGtCzULy5U9m4xELqKQG1H0NLBtaak5wFZBt/VbN/Vf+GH7bkSEhyFPtiwokDs7MsYQ4ZIEtvNg7DffYdj0hShRKB8Wjh2MMsWLKKy5CrSFVlj6h0smXtnHAfnpc+dp6rexX45XIh06AG4/gPbyeTNRtsKT6N649v8LHzynQtIHxPFgUNpASib+kydpxPFp06b5iDbuLdI4KbqtrTf/bCfWU0wV8xcvQ++BnyJLpoyYOX4UqlV63v4S1oihXs/LC2sMoH3zgYG2WnHezGht+02QqjCANuaErcxI1SkpKRg7YQqGjx2PEkWLYMGMSSzomQ+ArdePUlH+DL2awGk+q3wvJ7DtCgxGUKac/69YC7WQMfzG/QTHYw5vrb++0/kuB0FeHHc5KD558KhPhgzGxEmTULxYUa1/zV+wAH379adpQWZMnYxqVSprYIUW0wKD/q22N6fzxLlK+7IdlcHR7EBbaccW487bsu1bewHZym9IbvPRo0djwcKFFuhyAtomk02UFeO+/BKjPxuJYsWLU8VECSXomQmybft8FN+qh/QVCtwCXYgJD/t/2xeIO9yJa/cdhEkddKv+0mTfkI8HoVTJklQhJLOS6P7YFvCmJQ1nR8UVQjKIAZj9zQIanZ/EUSGM3qs1asBNgo5R4d1lyyIjzWl1M096CwNc2NJ7KdHF9dnJDhykWa7+amq/lyBbgm1Rh5s2rMfG9eswYdwXCCAKCRJ1nMpHyXClJMFFIo+ThUYdZ2B77ZafcfrseXSsXI6B7Fv3EHvrHqb+sh9T9x1B5pBgNMmWE/UjsyI+Ppm5F5IlxWOBbeo26PYggYMcj0PrD+IRyIksGBHoYiCbAG4CtDnYDs0QhkmXz6FNmcIokT8HQjNGUsBNQDZZZu7Yh8KFC+KN12oAkRngCY0GIjIiKEO2/7d9wZ2aiqSEOD/lCujjH//73r17NMDu6tWrERcXh0qVK6NmzVooWaoU+611aXvbcQba8rzFCxfgo/f7IVOmzBg/5StUqlLVpgwSbdO6no/p3g607aBb7E+7P3ixCDWsvtSgZjJrgA6y1Yw/KrB2AtzJyUkUWJO0gLOGf4C7N27g35NHkSlHLuQpVBTBwSHo+8UMSuQJUlK8N3M70fsoDZAnwLQCuC0QbY6Txvio7af3cePNZs2w/NtFGtCm98n4+GWk/wRok3IzNhE3YhN5EDTmo0zA874/f8eNWzdR/sWXkeSGBrLJOjEl1QLYKptNFnIdan6enILklBT8u3cHLu37Fe7UZFRoPwT75nyKkJjMyFbqeYRmyoqLv29Ecvx9FKjSENf++Q13zx9HlmLlUbhaY8RfP4d9C8fg2pE9KFnzTTzXvAeiYmIowA4NCuRrAoYZ003Wug+SbCBaBfNOc/fmDVw9dxJBxCk/IQ4n/v4Tjdt1ocGTQgWY59clAyvZFow3YbdPHT+KDwb0x8L53yBjdJQBth2YbZX55iksqAkRBdhq2i/FfFUVb/iEe/DkOXQZOh5/HTqOAR2b4+PubRFKNKEayBbmOdJcXfclV1hs9bgrkDLZ9+7HomXrt2yAOr1A++dN69CpaV3ky/74WZKHKYlJyTQokzmwElOuDh064IknntAZawN0Ox8jRTcvTi/Ips9C8tOfO4+3ew/A9t92o0fHt/Dp+30QQxk9J5AtrunlZR0F/4cF2r7AtnoPk/ZUoJfqA6Ze0gZ+JLD65/ARdHm3H/7atx/9e3XDwL69qO+PV4DtUL9OpvG+i/p8OkhKC2wHZcyBgGDmD/3/tdyNT0RsYrKPM1zpB91qEClFaHcS8Mn6yqVLtN/NmjUTeblPsehjZ8+eQeeu3bDj51/QvUtnfDLoQ2pO6wy2TaAtd3vrL7a2pvMX8qj43poJu7o2gbapVNIBOlcL0cCLzZs3p0qFLDQVmh1QO+0j1gE9e3TH3j170KfvexjwwYc0B6xa1KEiPUKGda/0GMI4FPW30RGh1H3n/3O5fDcBN+MSDTbbSFejMNzr166hqby+GDOaW6/xlJ9eo42TuyjjlGOxK3GYe1oAzpz7F41btKYm540bNcSkSZOpBaCbpCe1/D5lACY1VoIwXFEBsKoQE7KT2kfN9mMydCZjbutmFtB2ZrSFcP/F56OQKWNG2r8pwKasNgPalNVWgXbCfZw7fRoj5yzHhLdeo4z230fO4r3vt+DAlRtoX7wwno2Owa5L19EyQw7Ex6UgLjEF8TSWjxvxbga2aWBcC2hLs2DrhWmqLwY2COCO4Km+CNiODglEdDAD2mEZQ7E7+R5uB3rQpmJJhGWK5Gm+YijQ/v3fG9h56iI+7NGRAe2waARmL4yA4P9/lh1qSU5KRGqyk0+tfd4Xc3h8fDxlrYn7XWJiIg18R2L/UGtKFXTyBuULWLO/BZxV2yAr586eRe8eXfHbLz+jQ+euGPDRx4iOiZHXUK/HL+C71+lZjNQ5zCzmPbyx1xrLbJm1s/NUcK2m7nJisinj7YPF3rZqGX5Z+z1Nm1y0/FOYObQ/Th/aj7rtuqNh594ICQmlL3Pj0gUs/HIYug39EuGRkYoVixzbaN/k44LqniIzP0nwbQVltMZHb9ZADGw3adwI3y9bQi1WBNAOis76n/SF/wxok9ucvhFL/ZQJiCb+yb9t34plX09H79FTEBgeaQBsNxJptO9UG8AW4Dv29i38vWwy4m5eRdE3OiIoKjM8gSHUVJIO1MKG37Lvp09itdSUhFjEX7+AqFwFcXjhMPqDyKy5cWHnjwgKj0T5Zj1Rosrr1OQsNDgQYYThDibsdiAF3ao5lzWQG0wq55YUkwb28Q/v2o6ff1yGfqMnISo8nIFtbq5OtgW7bZmVu4C9f/6BsWNGY8G8uYiKCNN8qryakRNQLfZxs3GaY9v6LZuMRcABUW7fi8XQaQvx1dIfUDRfHswa8T5eqFDW8mPSfWGIj5MR6VEEabOx2DLKJ1k+/GggWr/VBsVKlFTSvCkBFtIBtHNFB6NMrv9dzmx/C6nruHgSjEmIu6Ap7EgaIpL/1OXFXNwC2tYxuU89roFxnyDb3vUFYHSnujF1zjcYNHIsNSEfMbA/WjWpz1Ki2ACGH8UGDB8WaOORm5HbTcRZuX3nNoaO/gLTZs9DkUIFMWviWOrDaCk0HAG2E8jm/2iX90fodXpX32A7ICLDYzeHelR94dpdYkIuxUyzCD9Nb6Dats84Jr64KcirYJtYk7z7bi8sXrwYGWJiFGWWmzIsX02fjsGfDKUKp+GfDkbLN5vKvuCo0PL6xtont7U59ZvKXzgAbZHP0QfQTsNcnNR9u3bt0L1HDzz77LPO1u1izTdu3b6Nz0YMw8wZM1C4cBFMnTYdzzz7rH6u99dNs6hCrplrNj1F7TIk0v3/R5Nxs7i5jJTqdltCIxMspSDJhErg8sUL1Fz8++VLafpIxmRzkM19rmX2AXJ1E2ynVZyDTREBe+yEyfh0xGeIiIig7hfNW7aic7o6dwvrNDpTWd1CUegafdHyOZd319qTCiakH7YeXZydq9upW2w5DEZbtQ6Ah4LsVq1aonrVKhRoS0abLAlAQhw8ibFA/H2k3ruFBu+Pxsy3G2L44vWYvWMPCmSMxojKFVEqLBx3b8Vi8J5/MCh3YSTEJSM+gYBtEpsnlQNtndGWgaTEG7C3D+SsNnlGmk87MIAy2wRkxwQHIDqUAe2kyEB8ee4MxlV/jgJtakKeOQNd7geFoO+cVVgwZjBAoipnK4jAjDnw/70wE/J4Iol4VaSLMWznzp1YsGABLl26RME1ib+RlQeU1UGyBKP+Amvrb7ONUetEN76eOR2fDfsE0dHR+HDwUDRq1tzK7mECbG/uON6UT2Kf02/Va3sD2G4nIK4EbxMm45avtYihpUQPF/tNFjshPh4/zp+B3AWLoviTzyIgKAjfTxuHn5bNQ468BfH2p1+gaLmK1vu5+Dsd2bsb6xbMxHtfzuKpkiVQNklLwWCrZuNOJuQ2FltjvUXQRqB161aYNW0qIslc4E5FYGgYgkh++f+g/GdAm5S4pBQcuXKPavPu3r+Pgwf+Rr7iZYDgUAtcJ3AgTaJzJyanKqCbbSclp+L071tx4e9fUbZ5X9y/cQWhmXLTyUloY1RgzYC2um2XhZiFFPHZZj451//egrObFyLp3k1kKlwWFVv0Rq7iTyAkmDHbYiFpEayPrbDbdHhX5BqhuSFsNWWpCZjmZulXzxzH9lVL0OX9IYgIDaYgWxwL4cy26r/9646tmDNzJr6Z+zW9nncz8hQNbFugm5qOp+pgWxl9iHXAvB82YfDkr2nu50Fd30Kvt5oghDTO/2vvOsCkqLLu6Zx7cmRIw5AlZ0QFzIpiwJzRNeecdc1rDqtr+nUNa8ScRZIRkCSC5CiZYRgmdu7/u6/Se9XVE3CQAeryPaqmurq6uvql886951o4wQlVxVFL0yUw22ndxnkFdStOOHEc3nlvAgMIiSYCbRFkS8Vpt2BQSWarZy0Uo066PhxWJxt333UXixkaNWqkBrR3is3GTgFtUWxMqw9/rt+Am+/9F97/5AsMHdgPj959Kwb379P8GbTAMOtY5N0ItFOMey7RaBSvv/0e7nrgYdTXh3DrdVfhigvPg5OlPeIVwNNMZBthtBtyGzb+nvrvmyY+ze6EPbu41boGGrmQl1frVPHTgG3hWIPnGkxgGgHb5Eb+3HPP4vXXXtN+X/U3TuDPP//Ebbffifc//AhDBw/Cww/ch8ED+zcbaKcK++l9a8VvpgFoDvwY1APxPOUJGNcX+jhK4UXMzxVXXil9ju62+EkdtYU333wD9/7zbqbncONNN+PiSy+D0+kUbl3d168vNcH49/JAW29NqdXKOa3dZVxvBMbWb69t0IU8Hovi9FNPwcMPPYguZZ04l3EtfROfhpDv05qWxUEySZGfQVR1fJdCw6xYu24DTj7zHMz7bT769++Pxx57FAMGDkacnDQN0gbpwQYPKiQGSzdE6MCFMtHXgLvGAitzO6OlY76N84y2oJButSASrseZp56KJx9/FJ06toeV5ky863i4Dpaw5DoerizHsPNvwaaKStSHo7hm9ECcvV8nJGvCiFTVIVwVwmU/zsa9HcqQqI8jFIohVB9jIrh1sut4SAHaFP6okAe6bkBJ3cYDbdoG7VYEidF22eAOuuDOcOHm5Uvwn0OGwpvtgztbA9qOzCyc+OAr+PQ/D8KSVQRb+94sXeueYMyFPMyHFskjpgWoqNjOdCW++fZbDB0yBKedcQY6lXYyYJRFjwcRaDcVWGsnGJ2zYf063HfX7fjsow8wYNBg3HHfQ+g3YKBWH1PYbV13r6v/Uq9tSQO0U+/ZyD3ceHFK8zLRxM/EFF0qyFY1F1JZbHr9uTuuZoLVfUYcjB8+ex8TnnsE0XAIx15wFQ47bTxT50+3gBCNhrFu2WKU9ujN5uuaBoXGcFMN1Zhr0X1cAtsaqFaBNg+uU8C2BffeczeOPfooDOjTi9UkRyD7bxsX/tYW53XakR9wY+7sX/GvW69FWe+BKshWmGxSGCc3G1ZklXFyvWFq47UhLP3hK2xbtwJlx1+GSNwKW7AQ4UgMkUgc0Uic5RdUtjHu72iYK5EYouEYIkoJxRCujyEWtyFu8SKn/zEYeMPbKBt7JSK1NZh0/wX45NbTsGzuTFTURLBNLhU1Yfb39roottdGpCIrm0tFUjrfIacWq6IUZJTjOyynBosmkNu+M0o698Cjt14jLS4o7D2Jv3Hx7ErsxIgDRuKYsWNx0y23qmm/UtXItVRdYs5q45QVVOJI4o3PJ6HXCf/AJfc+iYOHD8QfX7yO6y84HU5K9K6qcirK4vyKt7bqrQ7K2tRW5wejiK3ICx8sRqP51ZD/aGpo+xVm7DEgm4xEN0j5k2z9unVYvHgxRo0axbHZqSCbmQDqjCb4PMhumqWAbM7atinC/55/Et9OeIO5+I8YcxKOO/tCzJ2/sHlfWE9zNQul7yJTgBRf5Dj6N995H72HjcSl196Egw88AL//MgXXXX5RM0E29ztxngasGH22co4uHZk0veBnCPzvrv98wB7M3WOABRl5CAXcEmAzKmQaI6YV7Z/uFdVl1eDvBrIaEKvboX17fPXVV/KkTgSpbdu2xev/fQVff/YJqmtqcOAhh+P4U07H3N/m7/yX12aE4jGj9tGsn1QHsnW+iMuWLcN3332Hyy+/3Pi25G0sFsdbb/0PAwf0w1VXXI5Ro0cz5fwrr74mBWQbXaNZIFutxrr6rSvN6Tl8Ltce1RYor3aOj+5ZU+aWtloc83333oMzTz9dBtlKqkHeXVwB2alq44qXRqNF6KPkY3IYGpV2bYowfep3ePbJx7GEjV2jcfK4E7Hgt7k6903Nk0/xANQzTwoAFhbEdNVdbecGbTt97mElvRCXAon2dSwybV0uD576979xxVVXo5a8zax2qVBeXZkkiAN488vJ6HP2DViwej0GdGqLGfdegstHD2LipVbyciQCxmHFocX5mLijAnanDQ6OOHEReSIXh0XaKt4Kqd9ZKnqwoxEScv7ieAJt3G78uaOG7VNJsi8qESn03Ok52Qo77zEgm4z0jQiwSfNFac74x6JFuOSSS3HJJZegrKwMn3zyKW6/407mXSOCaS6uWKgbadS6G8przS/q8Okk5XpY1KYEz778X7z90ReoqanBcYePxnmnnYTf580TPC5ETwyuKK/rXbxVxXIlJ3e6lF+8Irh4/0Z1X8ESSvy1+jcHsjWVcU1FvKJ8C566+TKsWrwAF9z5CMt2cPO40Xj1/pvRc/AIPDBhCo446yLY7I5Ut3VoY6/D4cKSeb/ip68+EsdvlQjlnomgzK4V4Zq696Rs5f1+/fphztx5bJ95Pf+N48LfymgrdvmNt2P/E89OcRdnaa8iEqiWQGecMdk1NXWY/d6zsHkz0PGwsxAlxfFYQu1kaEtKd2zLctvqfgC5FmuVm5u46ZaW2KoLDQokfMbcw5Oo+H0S1k58BdHqCgTbdUNB3wPR+bDT4PZ4ZPEyyY1cyvSguEBxbhDyyozChBNj7SZXdIcNHoeVsdix2ipUl29CaVkZMv1+do5LYb5lFlwRSKPy1GOPsM+97tqrJRGPFDdyhdUmBU3ehVxTG6dCueve/nwiHnv1HSxZ9SeOHb0/7rp8PPp0LzNmUHhQrXcZVwG9xnjrVcYVd3KaxK5asxZPPf00Hn3sCUGxtDFGW+oUlE4jgbJcP/L8rTsWNZ1Rbr+LLryQDRx9evfSgSllktM8pXFp1xiEGzHagvuzYgKwgQpA3//kS9z72DNYtnIVjjn8YFx94XkYMWRg8zqtFBZ2NzHaOquvr8M7H3yMx//9PJYuX4FjjjgMd954DXrv18P4eTUGsuVjmngdb2lQg4HrsHJcVJU2ZirJLZBUNPdEq6gJoT4aM3ytOUOi3tVceUw8c5ZO9Zj6w5NOGodPPv6YLaqIniGKuFQS8XgMEz78CPc99DCWUV056ghceenFGDFsSCNtwaiNpvsiEAG/4jmkvNggo52G+WbgOYbjTzgBzz33HEpKSnSLGVKVpHjH9959F089+SSWLVuKo8eMwc233oZevXrrvo24Vf5ozqRCG4qb9q6muJQrqbyUxcw9zcqrQwjHYims9i8//IB3330b//n3MxKIlsVMtSwjcSHsSAXhO7WwKfY3Uv+rea4puae376jC8aecgRUrV2JreTnGjBmDSy+/EkOHD1fde0X3bpHF439Pvi7wE2UJaHAMuV7UiQNYRt8C6Rht+dmSDg7N0b6fMhkT3nsXL/7nOVgpVjsWRn31Drz73nt4/PlXsGTlGhxzwCAM6dwOeR47TurfDdEdVYhU1TA2m5XqEOqqQrj8l7n4V2kXxmpHaiIIMUE0YrUlRpvYbHIdV9htKvwiAt9neawco+2wIWC3wu+0wR1wwuN3Ykr9dviCHhzXuxNjtN05QbizSRAtE5e9/Cme/b//wltcij3RyOtm8uTJTCSW0jRdfsUV6NK1q9DP8NP5BuOV07LLYtq41NdFS+26pevTHOnzjz/Ekw8/iFUrluOQI47G+Esux8Chw9SaaDTkC+KdBn2bHq4Yf0fuuJDfW2Sk2XEuj7a6aCPPvRXAzb+HPF2fvuUyHHX2Rfhz2WJ88foL2LRmBfoddBjG/uMatO3SQ/xOAkNv0XmRWVj8/aNXnYdbnn0DDrtdcB8X4rbV2GuN1WZFPcZ5pjTgPk7voXCbBx+4Hy++8AJsf7NGwW4B2rF4AlNXbMOmmhBzFWfu4sRkE9COSsIRBLSJ3abyx9fvwJ1bgsyugxjAjglAmwBYQgbacoNKAdy6fbkmKisofNVnkyQZaDOFPJuVAW6LNYnKhVOxYdr/ENq2AQ5vEF2OuQih7ZuQU9oT2R26wZuVx1bhpEvIIh/k2iBXEgaeGcCWgDatXitbAtzLZv2MSRNex+1PvICA18NiwhXALSmTawJpVHnuvPVm9O7dC2edcZrqOmbhxc94sM22yoAcx7r1G/CfNyfg5Xc/QcWOKhw9chjuuOw8DOjZTdfade6IvJs4D6z5v/kc32p8ti6tF6z45LPPWG7hs88dL8R1GQFt8W9tdS4/4EK7LC/2VKNJ7z333INbbrkZFgG48SyrgSt4OjZbD6T1bHVjQDvZ4BSa/Ulqw29/9BkefuYFLFm+En3364HLx5+Fk8ceDbfb1TqAtnAN/vXUa1NezRdeeR3/9/r/ULG9EkcddjBuv/5q9O/TS/7OLQGy9d1suuP8Pabed0Ng2+rPhi3QuoUAGzJq4+RCTlkkjCwdsFKeoKURsK0f7JW/hXy+AP73vzcRi0Zx3rnnpgXaSluitvDO+xPwyBNPY8nSZejbuxcuvfB8nHzCcXCTJ5DuTlPaZ0PfsBlAW20bjQBt+sQnn3ySCZ+dddZZKZPKdevXsfjrV195leV+p5hH8p4iNoDvSnS9SsrBpkwqUsF5ywFtSte0J8RlN9QWttXUs7mMMlmsqdqBM047Fe+9/RYygn6du7gWny2CbH4c2EmwLfTXcl3TLbYT4H7i3//Bx599ju0V27Fs+XL06dOHCQmecOJJzCtO6u6kX1kv/qSYepdpVZJFBpvPQSzE4CoX4y5uJITGi84xsG0Bnn7icXjcLhx/zFF46aWX8Mprb7Bx4ejRI3D7RWeiX/sCrFq+HA+/9iEeP/MoxKqrESWgXU0gWwLa0ZoIPlyyGluq63FKdgEitVGEQ/Lclrw1ad6rxGtzYFsVqdKePitumxVuqwVuitEmkC0DbQLZnoAT66xR/FizA9ft35sD2kE4s7MwPZKJg8+4EHuq0aLfiy+9hGOPPRb5BQUi4EyjHm4IPnUMa1PAdTpAzZ/D/6EcI3HmTye8h+effhwrli1Fj169cdYFF+Po406E0yWOC7wnB/1h1K/xAm7iooKeAZbO1Vh3HcBW2gsHtDXXcQ1kK0rj9XX1ePWh2zFizDj89vNUTPnwLdRWVTKX8WMuuBoduvdSn6XwnZTlLaOFbUh/U1Yo+lAvCaMpbuCcXoMSkqu6jiu6FQxPURiuBs6NRNAEITX2+Qm8/+67OG/8ePzdtluAtpLO4uOFm1BZH2Uu4sxlnHMbJ6C9fPokbF21GJ2OPp8Ba2Ky4zLIphhXyU1GAts8wBYAt3qMc0tgr+lEwGirTM7oR7ESuLaqYNtqtzB3X5vNgrq1v2HzzI9RuXQmbC4P/MVlKOx3MDw5BVj/y2fsGvudej02zpoIu9uL3K59kVnSSWWxCWh7qJN02uElkM32bWx/wQ8TGageefjRDGh7ZLAtxWtb5dRfUuUhUH3e2Wfihuuuw6AB/Q2UyOU4bSaAFkNtdTU+/vpbvPXh55j000z4PG6cN24MLj1zHMral8jPQN/MjQC3xTA2W3RRN4jVZu5Yiku7BQ889C+MGn0wBg4apHOJ4oC1QY5OxR3G77KjU45vj3INNDKKf4xHo6nATZnYGwHkhoC2IchuKtA2nELrDknnU/ub9MPP+PfLr+OrydOQmRHEiWOOwBknjsXwQf3ThwT8LUCbf139UNVqamrxyZdf4633P8Tk73+Ez+vFOaefgkvOPwdlHTukAue/DLJTFywMf6OG2l8DYNvi8sGWVbTHtwXyUCFxNGr/TTV9t2VpAGynY7UlkK2x2ueeczYmvP9+o0Bb2dJi76Sp0/Ds8y/i64mTkJmRgRPGjsHpp4zD8CGDWVtI622iY5x3GmgLwDp1MYaus3XrVlxwwQX4+OOP1ePV1TX47NNP8c4772DKlMnw+XxMoPLCiy5GaadO6r2mY3h4YNOcyYTQdJrxzsaAtsNOiszOPb4tkO5MZW0987agiSQJdo0/91wMGzpYcgVX03gqbuGK4jjPZPN9WDN/IMVS6hwPuMWx/scZv+Ke+x/ESSedhM+/+BLffPMNy5c+9rjjcfKpp2HIsGHMfVkXyaAaD5ASBoCBz9HNK5srasqKurkCrvivIHgZCiBbA9uhuhp8/fmnLG1aeXk5fD5pXLj07FPRuU0eLKFqJGqqkKitxJhr7sfb15wJe7ge0eoaRAlk19B+PSI1YYSrQ7hjxm84NDsXfRw+Fp7IwhRDYrw2D7TJU08BO8pzp//J5ZwVmwV+Jae20wqv38kKvDY8unYVnjh0KNwsTjvIwLan1xC4hh+3U+F5rcmof60PkYCsZBrYFBdXRJCdXiyscXDdNEAtvGTQvOKJOH6aNgWvvfQ8pn33LYIZGTj8mONw7LhT0X/wUGlcMGCyVe+OlO+bZgEhHcBWPUG4LZc3W2tTGpGlCKXVVFfjnn+MY6Kfq5cshMvjxQHHnIzRJ5+D/JIOQlo9I1PGX6uhF5mF9VEPX3EWrnvsRfh8fkEMTQXagteJqDxOfwsg20h9XBWUlD2KHY7d0hZ2G9Am21gVwru/rUcNKTJGqPNRQHYcy6ZPwrq5P6HLSdcgDhsD2ASu2ZbYbNpnIFsC2wJrLbiRy/tqfm0FZBMLnlCBNm2VFSUebNPkhgFtudhZDA7FjtgQqdyA7b9PwrbfJyNSuRmuzAJk7zcCOd2GIljaC/FwHWrWLkI8XIOsTvsBtZVo03OABrJlgO1zSftU3HYbLNEQpn74P5z+j0vhsctq58Ro69TIaUWntmoHzj7jdLz80osoKS6UB2BNCG3rls34dtJkfDVxMr6YOAV19fU4YPAAnD72CJwy5lAE/d4GmDXdknAK0NatbPNiaQqjrc+frQBuAGeefQ7+/exz8Pn9aYG2utW5kNNzKMsLsAa0N5gk/FEvAjBWJzXX8aa4gxuLoCmn6gF1Q0A7TbeQAjIlW7ZyNd54/yO8/eFnWLNuPdqXtMHYIw7BkQePZK7lShos6QP/TqCt1dut5dvw7eSp+GriJHzx7Xeoq6vHAcOG4NRxx+Pk44+VU5g1YzEizfPUfgfjZ6U+yKZ0vXrQZAS27S7Yc9upaqd7uoWbII4GA1dUMj1LxoPtdKy2lsNXUz4+f/x4PHD/fSgqoj61caCt3kkyieUrVuKNd97FO+99gDV/rkP7tiU49ugjceShB2PE0MFwsTRYut/fKKRhZ4A2r48hsNxSnbn++usxbtw4BqAnTpyIr7/+Gl99+aWaa/bkk0/BieNOYqlqdE87dUIqvpx6rKHfTnlcO4H8GgLaNB4EKSPHHg6yFYvG4qgLhfHB++9ixfLluOO2WziRU04ElYuvFtzFGxw7mmrpwlW4BXdufN+0tRyXXHEtjjtuLIYOG4Y333ob777zDtauXYt27drh6GOOweFHHIHhw/eHi7F7qWykwL7pwLUyH9BcxnlWWwRYwrdIk95rR8U2/DhlIqZM/BYTv/mKLbQNGDAQ8XiU6TFk+jywRmphoRKqQaK2Csm6Krzw7qcI2C04oV9nxGpqECWQLZdIDbHa9ajaUY9rfp6Lazt0RF7cjmhdFBFSIic38niSgW0l1ReViKLLo+vcnHI8NxUpn7YFPpo7+p3w+RzwBl24hQTRDhsGjwy0fV26IOOkK2Cx77meHbyRW3ZdOMINp1wO8hSW24jFFoGp/DZjcN0IoDZ6TbqEeJT//FUrV+Dj997CZxPew4Z1a1Fc0g6HHDkGBx16GAYOGS6PC9xQ3wzX+LQu4vzfnMK41HZS2e2KbeWY++NkfP/5h1g8ZwZLs9a1/xAMO+I4DDr0GLh8gZT0aA2ZNL5atKhTiOn8Zk/5CpvXrsbx4y9TQ28VVptPZZgqhqYH1Mbu40y1XxaVJmJxd40LuxVok83bsAMfzN/A4rIVNnv5jMnI7DIQMYsd0Ri558UlFpuVJBJ6RlsA0jTGKHHbtJUBNQlEqOA6gXikHtHKdUjUV8FVvB9ql05BMh6HPaMQzpxSxGu3wZFRDKvTpWO2bbDZ7bCxrY39Tcfr1i/C9oVTsWPpDESry2F1epBR2g/B0t4IdugJb24xNkx9i6WNGHj2jfB5XBKLLYNsBWyTGzkx25+++DgKiopw4hnnMQZcUyPngba0/XP1Slx79ZXMLaK+tgYzZ07H9BkzMHXq95hFwf/JJFPaI+Bz2tij0KGkUE7rJa+E85NGxfhawTOCyuAqTP70buOKS5kIrpW0XpLrOJji+PsffGgg8pG6gq0x29KtEJNNIkp7k5G7KnOn4Sbw4qS+CSBb3hdYDPnU9CBb/xr3t25X6PoNeg5qbz//OgfvfPQZW9hZv2kz/D4vRo0YhgOGDMLQAX3Rr3dPeVBpIaCtbsTXy7dVYPqsOZgxaw6m/PATZs39TWoLfXtj7FFH4JQTj0OHdm0NvuuuAtpGCx/656r7HgZx2ALYttlhz20Pi51E2vYeo9za22vDDZ6jr35NBdsqq80DbQV4y69/MGECQvV1zL1a+i01ISljoJ3qWcLawoxf8c6Ej/DlNxOxfuNG+H0+jDpwBEYMG4yhAwegX+/90rQFS4sCbWLnvvzqazz22GMIBoOYPXs2awukGH3MscfipJNPQfv27XWTSO0JpwXZ6bqJpvxmfxFoa3+rX5OBbHIr3Jtse+UOnDTuRHz04QdsvFc0WLS4bB5kK+O5cWpII0uX/YA345AVI7AtsdsksPT0f17AjF9n4+knn0JWbi5++WU6S1/51VdfYsOGDfD7/Tho5Ejsv/8IDBo8BH369oHD6UoF2qpLdeoCPA+yeWDOgyvFlEl85fYKLJgzE7/PmYWZP07D7/PmsOv07tsPR445BieedApKO7THnbfehBOPG4v9B/WXQHZEUx5P1ldjx9bNOPmWR/DeDefCGYsgVlOHaG2dBrhrCWyHsba8Cnf+Oh93lXWBLwJEaiMIs3RfCeZGziuQM6BNqa108doOylojz/d8NisD214C3H4HvD4nvAEnbl2xFP85dAhjtL1ti1Fw8R2wBffcUCIji0RjCEWiaUGzMYutY72F94k9kDEAF49p++IcyBCUp9yfNEeaM/MXfPHRBEyd+DU2b9wAr8+PYQcchIFDh6PPwMHo2asPyz+tfE7qQpT2ncQQCj62mvcKEV3FlWOVFdvwx7xZWDxvFuZP/wkrFkp4weMP4NBTzsUBY09FblFJas76Rvpu3nXcKo+1rFfmPEsY6E0ksGbJAnTZr4+YJplfDOPcx9Pn1E7vPk6kXKbXvVu9OnY70Cb7eMEGfLdkKwPbv77/Aovh7nj4ucxVnNJ5KSy2WmRmWwHZtKVfXmGseXCdoDRW8RgSsShCmxahfu1suEv6Il63HbHqrbC6g3C3H4JoxWokYxFYnT5YnF6EVk9HvGYzvF0ORiJSA5vDBVdeZ+YqTjnjSFmPbckVgfbJjcEmTdTC5WtQvXIWqlfORu2GpVLaMJsD/jZlcGfmIdimFJlF7VDctTeyCwqZyy0PtmmlklyEZnz5AcacfAZzH5fcyCm9mAUEUylOYuvG9Vi5bCkrP/34PRYuWICqqir2TAsLCjBi+FAccfAoHDbqQBTkZokpv1JWwA2ABG+8y5h+4idvtXhtjc1OEUJTjgGMOXlvwgcNAm1tYNXAdtssL3tWe6NRigQSihDY7OaC7JTz5G1jIFt9XX9M97dw3fRGbfH3RUvw9eTv8e3UH/Dr3PmoD4XgdDpYXHePLp3RrUsndC0rRefSjiguzIff528W0Ka2TvFz6zZsxOJlK7CEyvIV+G3BH1i+chU7pzA/j4lUsbZw8EgU5Oen+S5GQHgXAO2U9sUdT+tGbMxsW3Pbw+raczUKGrLK2jBqwhRSIVrKhId7bA2BbcU1XAPc2kq75lIuDfDz5s7Bl19+idtvv41TddYDbX0KpfRiZ9QWFvyxCF9/NwnfTpqKX+fOYynjSLm7b6+e6NG1C7p2KUPXzp3RuVMpigsL4Q/4mgW0mTIstYX167F4yVIsXboUS5Yuxfz5v2P58uXszKysLIwePRqHHX44Dj30UOTnFxhOLPUTPMPnLu80ZwKhXW9nILZmqlMt11UEPC7mNr432prVq1GQl8ON37rYbL5uGqb3agBQG/bvemtAI0IIJZPBthwiNm/BH7j59jtx6aWX4qijjmakBWsLCxYyt/KJ303E7FmzWBwutYXevfuga/fu6Ny1K8rKuqBDpzLkFxTC4/MbLrorzJ0qmioTLhSCsmN7BTZvXI/Vy5dizYplWLtiOZYtWoA/V61g3yg3vwADhgzHQYcchoNGH8LmTOQlqAgubdmwDv+84za88erLsBLIjhLQrgMIbIcIcNfim2k/4aPJP+Pp8WMRq61FrLaOlSgx2gxohxCpDWPRxm149LfFuKu0DG4C2/WSC3kkHGcaRfUkjiYz2krR1LCTDFRIIlBgQJtANivEZnsdDGjfs2YFHjygHzKLstD2mrvh7tgVe6NR2tlwNCYAajb/50G0AchOBdtieAE7zr0u/N0AqNYvHhpeT7imdnH6bZctXojvJ03ET1O+w+9z5yAUqofD6UT3/XqjU5duKO3cFR3LOqN9xzLkFRbC7fXJANtAFFCXkotejyXi2LF9O2sLa1csw58rqSzHqsULsWHNSnYrmbn56N5/CHoO3p8t2g8+9BjYXfKil9zO9M+0QVPjzkV3cKXb0LIoWLBo5k/sYfQbfqAqhMZYbX22Ak4YLTW3th5ka8dy/O7dPi60CqBNFeLfP6zEj4vWYtGkj9Fm5MmSsrgMshmbHdWBbEUMLaG5jktzHzom5YimEtmxiYFrT7tBqFk2Fa42fWH1ZKoDk8JwM3dyHaskuRlYkKjbisiWJUjUVyLQayxiOzbAVdQNdoebqddZqRDbzcA2xXbL6nlsm0CkYg3qNixG3calCG9bh7ota5Ag5lI2u8sDX3Ye/JnZcLndcLs9TEiHFFPXLv0D2bl5LHUVxQ9tL9+KbVu3MBEtxQoKC9GlSxfU1taif79+uP6aq9GubRumRi6pjiuCaOnczVizbUCoR2NGtEmfPPFT47U4UTQ1ZkvvOq7FclVVV+Oyy6/Aq6+93gjQFlex8wJuZHr2DlcoI2MKj6E6tjAk/R70+7BXGgDc8iSqCYDcEDiKN6C9Tz3G/f0XuguKRSfg/cusufh13nwsWb6KianV1Naq51CsdFFBHnJzsuFxu1khxs9utzOF9lA4jHAojOraWmzZWo5NW7YKbaGoIB9dO3dCj25dMXRgfwwZ2J+57qouQ0YuuunYnr8TaKvHjGPKjZhta1YxrL5M7M1toZwEM6Nx8bj6n2gNge3UGDERaOvBd/nWLbjrzjuZ0q0IXgyANuc90rCiuPY7s7bwxyL8MnM28zpasmw5WyQS2oLPyyb/eTk5cHuktkDjAmsLYaktUKmprsHmrVuwebM4LhQWFqJrly7o0bMnBg0axPJmU0ovm01a6ORvszGgbdAraF+poR9RPFU+v+WmHEq7pphs1x6qMN6ccSEZDacdwwU2W3lNAdiN9dtpvWvQeOiKzrtNAtkSw037NXUhPPfi/2HKtO9x5hln4MRxJAgle3EwljKK33//HdOnz8Cvs37FsqXSIlFtTY16BySYRItCWTm5bI7kcnvYNWw2GhdoTAgxderammpUyHOkONcWcvIL0K60Mzp17Y79+g9EnwGDUdK2HcvcoogsKZN2qQBOG3DFxRcy0dnSNoWwROslVjtSD0QIcNchUVeNe/7zBtpk+nDm8N6I10lAO1ZLjLbGatP29w3b8OT8JbirtDNckSSidTFE66NMj6hejtdWgTbNc+V4bfoVWV5h+f68NiqSfg+BbI/XzuK0n9+yDmf06oQDbr0DGcMPxt7cFmpDYURiiSax2HqArfRA/HHt2vJW+Vvu4NL1f402K4PP1X8Ov7RObWHpooWY++sMLJg7G6tWLMOq5ctYKi3FPF4fWyTKzM5hbcFJbcHpYkLMkUiE5R6ntlBXU4Pt27Zie7nYFrLyCtCmYxnalXVF594D0Ll3f2QVFOPz119AJBLGsedfxan5ayrmRp4B6UwYUy1KnDa/0K0B7Zrt5XjtoTtw3aMvaOw35zLOq48TxlLbq6E7ueg+nu1zweva/d5+rQJok5E7yNXPf4z1zjZsYhWNSkBbcxnn4rM513HmHq64hasCaBKLXbPiJ4TW/wZvp4NgzyxhxxPxmAzC6b1xAWwrNUdpDpKLmiw2RAIeBBzjMYT/nIFYxWoE+54IR3Y72B1SJbfYyI1cciWnHNWSYrlNKyy228pKZMtKbJrxGQp7DGDCGrGaCsRqdzDXcsTCSBCrKedAXLd8MfoOHYGMYJCpLhYUFKCoqAjFRUXo0rULcrOy2MBAA+1Zp5+Ke//5T/To1kUXry1updQgWs5MfgVczKusmQSyac+aArYl1zFlsJXzdzcAtCkVyHP/eR7/euTRFKCtuIuxlWpVwAGs0WR6916QLUyqyD0tJguk7SVAWzVu0kZtbf3GTVi+ag02bt6CzVvKWYwfuX0TiCAGnAYNSi/BFqFcLla8Xg9jqgvy8xi4LiooQJfOpcjMaAR4qkA7zfdTDqh/7kqgzY/quoUtFWeLcbYqk51ZxFTG94W2sJWlOoobgjWV2ZQ3en8AdWBvJtCmseG0U0/F+ySI1lSgrRcuTKE39MctKd+VtYWVq7Bp81ZsIvC8ZSu2lkttIRQKsS21BVL3d7sIcLjZ4hSNCQWFBQxc09jQpXMXZGZlSde1WPDzz79gypQpuO222xoF2S0NtIXXdwHQ9rkccDt3/2TqbxkX6qqRjIZSvNJUoK1jtBsG2an9nPxBO6EVwXm2KUBbBdvS+E+x5m+89TYmTZ6KaDTC5lQXXXQRDjn0UEU6Up0LkOv5unXrsWLFcmzctAmbN23Gli2bsa28nLUD8gYJh0NswYoAt4OK081Srmbl5kslLx+5+YUoKS2DP5ihTfDlWH49I6aAbCUsz2kFliz8Hf/9v5fw7BOPwEqeibEQA9oK2CZWO1ZThbPufAynHzgQh/bogHgdMdv1iNXpwXYYv63fiqfnL8GtpWUIxCwsZjsciSMckdzIIwkpZjsSl/May3Mi9b4tkgI5pfliXo4eBzweO1Mfn7BjCy6++w7sd8a52BfaQnVdGJF4vEkstnJceq92fkoX3RDANgLmKTtGf6aP/WZObNxQILwuLyBQmyD38jWrVqJ88yamu0QLSdu3lbM2wBaZQiGmdE6AW2oLLiZelpmbx9oCMdYEsIvad4I3EORydielLFCfvMsA+qiTztZYclVg0Ahgp+/FlTFZGVetlvT7CqD+8IXHceI/rmReLaIYmug+bk3jOi4BbjFeO8fvQsDdOvBCq1kCpoHyyYuPxx2f/4FZa7ZrwDqqE0HjWG2KqSb2moSkWKVMJBCrq0T1wi9hcQXgLTsQzqJeDHTHo2HJhVwF2hrYZiCbE0YTBhod0CYA7SgZAmfboUjYbKj89S12zNt+MFx5pbBQTjibVhIOu+ziLlVqJCUXBndBJ3Qedx3+nPQmOo04Cnlt2sLntjMlbXKL9rlIHM0On8OGjcsWoGNpJ+TnZLPOVSlKvDbriJO0b8NTzzyDC88/H++9+w4CPq/2fdjAl2RAV5mzJ+kQW/RW1kyl7y91MrpmxE/8lVkpHx/LD8DC+emFLYhZSWsyFlKuuK+AbDIaVB0evzSpooWXvfy7lhQXsSIfaZbruCEobaoZjbR6ULzLrKGFC/ke2Pfl17wls2YU7BMgW6kfuQE3UyIPxySGjh/ihafDPbbUp9Y82759O3Ozbta9pl3s4kxdkKF6K96l1BaKUdKmWAA1Wn5spHgSNRijzdmMGTOw//77NwNkt7A1MjnbWfPuIyBbHRe8AURr5MVyMrk6qeFfKtjW1cd0/Yy6q1toNDyVq69Ud5NyJCbNK2gyweYRlA1FPiYfknqxJPutLhp/Hi684Hx2HnkoUTx09+7d0KakrQzate9a3KYNCorbaCk9eVFUThxVS/lJLuOikrICEGJ0MmtSBFoBe5JCLSxIWKX2pXy2tihH17CgZ6/eTJBu5px5GNyvN9iMRQ5RZM83kWST6FfvvgZn3fEYe98hPTpIc0a1mcrekRagT0kebrLbcO/shbi2tBOKfE7AFoPFEoONXMTjYKGBNiQQS1pksK3dGwMaSqgLHw6QTOL4iy/eJ0A2GT3PgNeFytoQY//TAmw6WXlNt0Zu3CIaBtgpswUDpK0/ZNSy+P6XtSr1bw7Uct8ht7AYOQXFgoq4AoL1cdcqOWXwGjXNmPxeShf46X+fg9vrxzHnXabLSy9eX7pn43j21B9HplCo3lIYNgifSICarsd01uUxWinHnX8l1i5fgk4sXZjUz7Bnwbxo5d+L+hTwf3O/tRxmwZpZMokcn7vVgGyyVqUa4nbacc+YnuiW79eY7DQgW1IdjyMRo/jrGELb1iJaU4Gaxd/BWdAd3k4HMPfbRDTMQLa4DSEekUs0xNy42THlOP96uF4qkXrEwlTqEAvXIsb+DsHZcSTsBT0RrtqCuo2LUfHzf1GzahYitTWIhsKIhiKIhqNyiSEaibMSYauYceT2OwSzXr2PuYQzJUpOFI7lEY8l0KZrL8z8fjK+mPA261Si8oDCCotHkgebRJKt4F53w4247vobyBlcFSnR4qSlvJcslkrOgckLmolxV0aTNz2YVgYprqQAotQWyQYqA+CkXUVmnyh+xOPcZ0C2flJlITagIVMmVPwBfr85M9t0y7Ot3ozcwZtiDU0oW9LS3FtzqEB5VLNm5MMayMW+ZDRA5wU9TJ9CZSWEM4z/4idczf21SDwsX43lV6dsaT8ztd2lAzbppmyNWSOMYyM2Z84c9OvfX3h7ukmf8GpDH9WE2+AZol0Bsj37CMgWxgV/Jiw2uxCyoBb+WFqQzb2uemQg9Zi+qK/znhwKc86FoSmeHwrrnqKSLh13Ebny+KO44sor2VxO8E4R7pW7PfnraGJpigec4v0mg3C5KPOkKJEwcfnvuKzsHReLci5LHypfj9Jt3XXPPbjrn/chTF/B5kTS7gIcbsDhgcXlhcXtgzsjC2/cex1emzwTkxatgd3nY8Xh98Lh97DiDFBxo2tRNh4c1hdPr16JJYl6uH0yK+2yMzFcD6V/lVO7epT82XJ6Lwcx8IpoFPe0OlxyEQ6+7gbsa20hw+eGnea0hiy2rNskuD9z6vRytiGxcK2Je4/wN1/Uf6nnyRntDV/Tf74IjHnvTomkU3Jd83N9dV8VOhO3fDtQzlHSdhEb/t0Hb6Fr/6EYc95lHDg3Bu/6e9OeoUFRx1zuuSc5kULlVeV50xzWZsUbj9/LUhoaL3JwWS9SPBj4hZQksr2tj5RrVUCbjJS4HzupD/qWZHDpuxRgTWBbcv9mIDoWRbS2EuVTnkbNH18jHqmDt9thsGe1Z4JS5H7NtrEI4jFuG5Xem4hH5C3HcvNx21wh1pwY8SQD9nSNsAzG65G0+2ENtAFcmXC2HYLwtjWI7NiImlXTEQ3VyAA9jFgkKhcJbNPWHshHlxOvZmxNbX1YSnMmpzqTgHacuU32H3UUvv/6M6xeuYKBbXItYoA7ruSVlksiiREHHMRWiCd88KG2WqtLx8UDbC0fto4tMQLZO00TiTNeh8PB4lEaswyPExleKe3BvmZsUuULspCEJoug8fs8aGxocq4u9e5pAHsnbGfRV7M/RhdrLXiA6N0wm2aMyQ7mYV80mljmB71wGYiaaIN3E37UNA43PJNFtnr1arRp0yYFQMvr6bo201B9auActX3u+nZH6btIbbxx0+6n0a+0G3sMAtlePmXgPmTkXWcP5khpm9Sc2Y2NC3zR110xdCxtaQhwq27q/DHOtV1VSJfD1uTzyjqVYvSokfjii88NpxdGDKV+IY0HFgr5IAARFXAnZNAtg+sEzaOkQn+zOZUyr+LOC2Tm4Jzx43HVtdcjCgviVgcSdheSDjeSTg+SJEbpksD26/dejzemzsL7vy6CzeeHnYrfB0fAKwNtqbTJz8DjBwzEe5s34ruaCjgDTjgDDrh8Drgp7tpth8epgG0L3DYphzYVpj6uCkxZ0O36K9HhgvOwLxo9gywSu7JZU0G2AVjW+i2NuTYEimkANw/rBFd0AXzrRg3daxIbnQpcRfV8zTND1S0SvDUg5r5mi0P8YhHn8SF7ghBW+PHrT/DYNRcwIeUjz7oIPYceJHiMCKGbutR6wuKF6jGi6GNpxRBsw/hZKE+T+rQeg4ZjwYwfhN+X/y31pi2iaCrreX43cxlvbdbqgDYZuUw/cVo/DO6YhUQsyVJ68YrjxGATwN3x2yfsBwj0OwmBfifD4vRJIFhforqivhaVwDNzKY+ngm21SMcZwI9HZQBPQLsesVAtYvXEXtewuNqE1QlHcX/E4UC0agu2TX0W4R2bGdCOhiMqq00gm2LQad+eVYKq8i2Y9cajBqx2goHwCIBzb74fCatdZrWlwUFltpUGJjeWa6+/Aa+88goqtu8QhcrUIqqGp4BtBXCrruKce3gjuegMJ1/CIC4J9WzevDntNSwyyA7sxcJnTQfbGXL6pr8Cshua0ItgYu+2xp5FS36S4u7eCNhuQm5Ha1bRPguyRbDtgdshgW1D3NoESwl/V/+UOTUL8OMPP2D//YeLqbx4nz4BaXJtsVkLWfpr7jprTv7Qpqy77c5lOZ/Luc+CbAFsZ+QyIdZUkMzNaPV/Gx3XA2nZFV0pAtoQMmGkAm7VXZ1jtQVm2wBsHzBiBObNm9e0JUe5rSjDoABGeMDNbTVWW2a25S0Ba4W0UAB3hAPkKvOdAI469ngMHjYcl15xNSJJK2O1Gch2egCnF3D7AI8fnqwcvPnAjZi1cj0e/nQarD4vA9pOPwFtuZB3TsCDrBw/Hj9wIDbEI3hm/RpYvHa4fE649ew2sdoys+2Sc2krMam97roRHS84B/v6uJBDHgOyyGOKOFoKeE51DzcCgAp402A1x1zrnUH41mfgLCKAVPnaasos7p8KsNVwCI3ZVuq2kvdaZbyF+i+2B+X1TevXoqZ6B6KRCK57+jW069YrJexC+Bzls1Q3de3epcUtjvFOWahIA7aTyvfltvIDov+POHU8uvQZlDIbVccj/njKvQCFQTdyWyHIbrVAm4wmU0+dNQAjuuYJrDaB7GhNJbZOfhI2L8XQWWF1eFWGWywimy2x11JRALYao61bnU1dyZXOUcG4yqoT6CYX85DgXp6I1MNR2BvustGI1u6QwHaEZ7VjAth25XWExe3Hsh++ZEy2BrKJ0U4whcVgfhH+XLMKH77+fyqjTYOAfpChSmd3OHH7nXfj1ttvE1TBedCt7SvRPhzY5lltvct4I+66qUdTJ5gej4cJOKR7PwFsXyuKsWgNYJvSyEnG9+5p9o1AeKNmcF5LzqaFWP6WtJae8luadtwgjlzbci8KzLb+jfx7jI2pi+9j7uINgu2Ah01C9aZ/ksoaRoOPXzlXB7oXLlyI/XruZ9CGGmCz03qNNFY/0yx0Nfi23Ql1m2kteJs0JnhagYpsawHbtsxCWFweoV5qiz78GMCb7rgCqlX/N/F8/rglLeDmwbZ+PsW7kcsAWxZipet179oVixYtSvl+AgvGT86540KubX2RAYsKnGXwTH9LbLVEVtBWY7Y1b0FJ/VtmuhPAuNPOxMiDD8H4Cy9GXSyJhE1jtUEu5C4fLB4/HIFMPHHTpcjMysTlL32EhMsNe8APe0Bhtn0MaLsCbngy3bhm8H4Y2iYPty9fimpHgjHaBLbdbjvcThvcDkmTx8V0eawsL7DdbkP/R+5C6XlntFyF2gu0PMjjyRBkNyEGWw+iNRjMmR48G7zPGCjqQDrHxOrZbB4gG7lzKwy1EbstZWKS3c3lOv7Nu6/hlQdvR11tLYYfdSKbR0o4gWPLmYu6keu4eI9am1PAM59iLI1HAdQnL+3x3Qb3t8fvx/+euh/1tbVaCjHugfLPTr2OfOW2mR7ktVKQ3aqBNpnTbsPT5w7EGSM6MMaZGOVobQV7sMF+p7BUXYxlTsigWWWnjQE3A9iK0jj3Y7XE7EB1L2dx4RHmVk5x3HBlIGn3onLmG6hfvxAxOq66kStgW1JYb3fIOQh26IX6UISBa3IbZ2BbYbXjCXTuNwQzpk5kCpzUiJQBRYrjUFZ4pcYwaPBg+PwBfP/jz6oCeHqwLSuGGiiKG8ZrN44PGnhY0obisvQXoU8MeluHJH9rG0jsvkyWx/0vXUdhKRozfnlWP3Hb+U9vErBstgnA5y9aGmE1TYhNFKESRKrUYzuxoGB0vsUKa24HWAM5zf4ae3tbILAddGt9hBLfqQfM3LvSuovrLoL169YhNzeXqZfydUpTnudGfgWYqG1K9DpJ2TcqyuuNKtjr7G/A2Tvb+lt6GUBafHXtczHZTWkLNspA4M0Q649Qr9iOru7q6hf/PqHoQHM6wJ0Ctrn38oSFer72PlLQp5SNTXGj0FgsebIvT+qlmG3OjTypj7nWXMgVcK0w3KT0rYDqcJxUv2nuJZEbiiaOAriPPu5EnHTq6TjljLOwbks54lYnEnY3kg5it73MjTzJAHcAV5x9Mo4bvT9OfeQ1bKyPw+4PwhEIwBH0w5nhh5O2QR9juI/o2gE39O+BB1aswE/1VXAFnHD5qUju5C6vHU63HU6XDZ7sIIa/9gw6nnXyLqtXe2pbyAu44Xc7RHZZgcyNxWBz56twzsAtXD4sWCr4Fl2rU0G27h5SYqI54JpG1EwviCZ8DqQ2EAmF4AkEcc0TryArv4hjoQ3ANKf6r4JuGZDrgb9wX/I5mju59ro6NTN8TsqT1p5Jx+69MX3Sl5ogm/Bbab+hwqQTXuic62/VILvVA20yynN4x0l98MAZA2BPRLDth+cRq90GqydDdv2W2OkEX2IEuHUgW4jF1gYi0aOObz7KC02cLhDQrq9AeMnniG1bIbPcdSxunOK5fb1PRPWibxGrq0KcMdsRxKIxKYUZK5QXnFQwHfjl+dtZnDYD2FEpRluJIyIFylOvvAVVVdVqLJEYj6GsVEmV8cabbmFiIyMOGo0FixdLgFuJz5a3ots4B7ZVkM25kQuxpTsBljiXM0pDs3HDevVKJM0f9Hn26nyofxlse4Os7NT7UyZdjZl+bbbpRum6xp51ISZO+1H+cOFODI7trDVvSv/Mi69gxBFjsXDRkjRncPme/grYbpYZuJHbnbAVlsG6k7/1vtAWsn1ulo0gHcjm03bpf05+PUV6+hoQf+2113D2WWdKfwgURxo2W/g7FSxTuq6xZ5yHiVOnGfEgjYNtvn7ztEAz6r6R6/hzzz6LUQcdiD8WLmzh1s+9SY6j+6teDBnmuNAw2M7Ihy2jgKviBos/Bos7YvhRyo+X6uHHtQeWPlTvBagH29w16PzlK1Zh7Kln4bvJUzggn0S7tm3x559/NthzCsCHA9Y8YNCUyEVwXbm9guXX3rJpI+b8NBWV27dr7HU8iY9eexFXn3wkli76QyY5JMCtAGwNhCdx4CGH4a577sf4Cy7Cz7PnabHa5ELu9AFuPwPaFl8QYw4fhSduvAiXPPcupixbB3swIINsH5wZBLJ9cJH2RNCNbiU5eG7UYKyM1OPBNSsQctHlnHD6HHB6HHC57cgq64ADP3kThYeO3MnWtPe3BVKcZi7EPLvaGMBOB7INPsMIgKvHjT5PPS6C7LWrVuKac0/BL99PTgHZKpBF00C2EcP8/nOPYv707zH08LHM+8UYZMuCbVzc+JR3X8HjF56A9SuWaECaK/y5eiE39Xmrzzr1CQridLoFgkEHH8l0uARAzT8HTsyO9Ar2Kwoiq5UJn+2RQFuxUw4oxZPn9EJx36Ng8+ZIQJoD18kUVpt7TY6/hi5fdqpZUlZYGps084H6yRqKObYgXrmacyuXRNPI7d3X9xSEt65kCunxqMxoR+OIU4lJOcMtriACJV2x8uevVbdxxXVccW9qU9YdC+bMwp9rVstx2bwLiFgys7OZeu6OHTtQUVFp6EIuxGUrYFsVT+MBt/icpGfFPx9+YOWO8T2T9NDYZsCAAUwNly5hs1kRIAVJSmhpWoNmc3nhCGTLCyDKc9c/7xY0ftRoov0yay7sDju+/G4q/h5r2vdevfZP2G02bNu+vZEzLS3DbCttxIgpTwE/MmR0B2Ar7AyL0934F9rHjVJ4FAS9DIzx1lBIsgS6FXgu/iTklfTzzz/hwAMOFMBwqjuu9J/gZpsGME//dTYcdju+/HZyA99EvK6wr2YWaAK4bkYbXbN6NWx2OyoqKho8b+e7k7+uNE4iR5l+jzkuNMGs5PGU244bF6TfwPhHMKi3+vqlX0ASFne041pcdirYFtEItYVZcNC48M13nGJ5EkOGDMKM6dONe16uffJpmrQJuzZxF11sJTfxD154HC/edS1WLfkDVTsqsW7VMvzffTdje0UF5v08DaFwBJvWrYXVZkPFtgp1niXls9bmXRroBjp27Y5X3nwbzz73PJ598f8Qk5nthMJsuyVW2+IJonOXrvjw8Tvw8Yzf8a9PpsHi9cERDMARkFhtB2O1KXbbC3+WF1cP2Q+ndu2Au5YtxXfVFXB6HXB67Sg4aBiGf/QGAp07Nbn97MvjQlGmh6VDSwuwDdnqVJCd0vMaNCkeZCPt9UUme/7sGaz//XHSNyooVd2zVTDM57GWQHbSiMnmGGDaTvt0AmKxGPofdJh6roJrRGAuMuh0vHzDOtYWanZUGKqNi27kIvOufb/UxYYkv06ni9VWuhBKNda+237YtmWzeJ4A4pPIdNvRt00m0/PaE8ySNFpyaMW2vrwG5z70GX5btp7l0NZipimntgSqVTdxTuRMcmGSf3GLtqP+yVkyFkKyvhLJyA7YcroivnWhNNnxZAH+Qpkl0QYz5UqsEtRsgsWbzxRBaXWN4iGsNgcTLSGAZE1EUTt/AnJHXcXSdDhcbjiYS5BDdg2yw25LIFG5AcVl3eD32BFwOxBw2xH0OOBz2uF1WlG+ehkmvvsqbnrgCXgdNha/Qys8LIbHKiV1J3VKcn+Mhutx/Nhj8cVnn8LjsMOSVFJtKLFT0iIEO86tMosDqfJN0+Q2FsA6z5LLKcXkNGOS4rm0XfDHIrz+5v/wyCOPwOlwNEuwxzT62eKIVW+Tcm3zjFvKJCppwGjzFd7guDDhb34XQWEB036eicH9e8Pv80kHhd83HautC01oNI+27r2NnJNIJFC+rQL5eU2JedYtGCmfIjwPA+aI7aYeS81rm/pcLb5sJnxmtoXmWSyeQHlNiLFUPIstbS3C38w/x6IdsyoKvgA+/uhD5jp+5RWXC+mKFOEm1RWWY+lSf3exDsTjMUz7aToGD+irtQXxVxe9hIz2maeRPnxH2ZcXRVNel2udxYJx407C+xMmCFWTUqlsKy9Hbp6UxqyhiWZz17Ska/w1oE3pPkn4zGwLzTMKX4uXrwEodC3t2M0t4Oj7f6Hv4t5ipC+Rrn7qhVbpNauNMcxTf5mJwQMGwh8MIEnzA5sdi5etxEuvvIqHHn6Yee2x1FoyiRBLSPtagSBopsZaywKx5OlHn1O+ZRPq6+tQX1+Poo5dpHuUJ+9Kn/DjJ+9g7tSvcfbN98Hr9SEvLw8OqxQHTXMpJSaaKX2zuZWyL8+vLEk8//QTWLpkMR5/+CFk+r2wxqOwxMKwxMOwREJI0u8QrkMyXIdXP/gCn02djicvGocCjwvxujrEqNTWI1ZHJYxobRjRujDqa8N4848VmLG5HA9ffgX2v+12WOx7BrBoLUZ1Y+OOOhaCKdRyDljz1py+L6VF6UG27ix1MUgG3DRHmj39R/To0x8en18Ak6LKt/YeFWDzbt6cyzZtq3fsQDwRhyeQKQFvg7zbRvm4lc8hwemaygr4MnPU9tJQn6+Os/IYyo+tDANZtNeUfbaFRR17Caco+3/M/BHLf5+DcRdezQT/rKydSa/TtkO2F13y/CmL663Z9jj6sE2uH5/cPw7HDO+sgWxWZOaaxWFrrDYDkZxrAg+ymcm1J0Gu3lsXIVG9AcnqTUjWb4XF7mEV0OLNAzxZsNhcsIR2IL5qEmIrv0MyXMU+RzIp1YI1UCznuJQUy+keSIyNsdrU6dpccHccgfpNSxirHScFdYXRplhtSl8GG0t9tfi794X4bDVmKJ5Ecaeu8AezEKH3qQIgnCgCt0Llcnvwj39ciGefe05KAJ8mRjuF5RYGUPXhqd/X2PSsC7+kJ6509+jRA4cdeihcTnMytTNGab8k5Vl3AxOq3WM2mw2jDximAxY6gLobzGq1NhFkp3cjl9pQc5htxVNG/7rYnkj0zJZdbAKLnTDyhCFFck8DK9xq8IsyIVCLRV2EefnllzF+/HkimNZPreR2luJ2mwKypcLawoH7pwHZTTchtZihcexjE9oXtYU8NVd46zK/2wm/22W2hZ0wylBhyy+FhcVtN9NSQLbIXqconHN0lMBsC/SVcm6Cea6NPmB/+P0e+bgUx92lcycsWbJEbo+U7kfpKhufTKvMmMqg0RwogZfvuRHRaAzFpV0ZMOFTHyn7w445Badc909EwhGWW5gx1jJgl1htZd6V5LwKRZG0i6+8FqedeTZOOf0szF24hLHaCXIld0jx2syV3BuExZeB8acchweuGo+L/v0Ovlq4Eo4MciUPwJkZgCuTYrfJpZxcyT3wZ3pxwaCeeOeVlzHirrtNkL0TRosjJVk++F12Q5DdEFvNM60i620MslOZW52LtMw2K/sWqxUDhh/IWFx9vDQPuPn38Grdeldxei/hhydvuoRpNinNWVsA4Fhkveu2ArYT0vjIg2z++oIbuU6JXNsXme0Ex6hr7Dd/P+IiRfeBw7F4zkwkmJaWdm3qD3oWBtAtP7BHgew9EmiTkVDW/900FreeeSCsVA0Zmy2BbbZlLLaSD1sbELSfhlY25Z85KbmdJ9ZPh8XhAbz5sGZ1gC2/F6wZ7aRVGF8ebASgvTmM1baVHgJr+4NYR5rYMh/x1VMlBpzOFlpgUlAol3J4h2HLLoXFFUD9+gUq2KYGQunLJLCdgKegFOtnT0VdTY3UwasgW0vrdfJlN2Dxgt+41F4SyFYbBtdIThg3Dj/8+BM2bNrM5dFmy0W61Wcj4TM92G4gxlZ+3JpYilS0lXNZSMUCtgAwZsyYXV1d9omcqjZeDKc5YNaAsd1lpvSarWQxoOm2M27kOpCuKvsbMJJWmhh3gNWf/Xd+qb3OaPDN9btZWkCBzebIODUSWxcST5tPP/kEhx92mASIBTCR6jor9m/pQHZTzdhzQtjXe1EIu42kF9uDjMVje91wm6Jnf8loEk9u5NaMAuO6qIYjpKmDwqKtfgFHB8L1YFtXhLaieIGoHiHSltiqdm1LWDiDyoYZlJRJB3cL/CR/2W9z0LnfIBS0LxVjtmWRNPLmUOZN2UXtkNO2I77/9H18+OJTiMa09KlKHLeS+ksB4tJWAtrEoA8cNgIv/Pc1PPTwI3j2JXIldyBud0mu5CSQRmDbHQA8AXTv2QMfP/VP/LxkDa7772eIOt2SK7kcv+2SwbanbRFKb3sA7Y45/q9Vhn3cqE8pzvQixycJZvEgWzADIG3Uq6qv8Xmk1WNcPdS1BI091rlu8+drFzcAxcbu2Py1Jk54E4NGHQlfZlbKeWoz5BanlH0tBpqLEden5Wow77exZoLg2p7UuYur35f77tQnWK249omXWbit8tlOuxVD2mWjbaYXe6LtkUBbsetOG4FvnjgfXdtSzLYCsOU82IJSptg9s0MEHuvKEV85ka2o2juMhDWzvcRG86aCS60xsU7fZofFaoetqD8ryXAlEK1jqzCCKRWNQL+SEiwapkBbVP3+KaL1VRLYllltctsgwE0rUh0OPQtV5ZtVoM0GgDgNENIgQQz0q4/djwix4vq0AJx4gNSILbjjjjtx7333p+TUFtJ8qUxbaqovJS+wWhpktbmHLbTwJKwOUtEMMKbHtJYxG4mkZRbAYpNVefnl170K9O4mMwoY1J+gB9uyW69etZ/EBpUFLYs3E7aiMpYaxrSWMUoNmBvwwE6LiNxPpoFtEXjTT0H5RV9+6UVccMH5Qp+lXzAUgIIefEBsU3wu4oaK/MZGmPFGrKGZIccYtGZzOWwsHtthN8eFljIC2qT3AIeiyqvz0uCIiFQQna5+NQK2RbqMW2jnP0+a3vPnHX7Yofjmm69FV1SDaAn+nvgYTn6SX9ihFEeefUlKSiLGZsvu5RRuIoHtBDt23OW3MNZ4/drVArPNg24pLRjvxq6B7YysXLz43zdQHwrj/AsvRXUoiriNUyV3eQGZ4XZnZOPhGy/DmFHDMe6hV7BgSxXswQw4gkHGcgeHjUTJ9Q/BU9atxerCvm4kkNY+28dAm2A6tjqdpeuJBTCrA81K0eKsZVipXxziQLbR+1PYX/kErVlK9XvgyMMw8oTTpdeawWanA9bivi7rtyKKpqQHS7uPFAbe+HO0Qmrpz95+Fdtvm+HB6LI85OwBomd7JdAmG9CtBN+/cDmuPe0gWC1Jlc1OmaBYtArH+mpil7cugq3DKFhs9APSL21hp2lViZtWJ3m2WmZJ5I8gdtqa0YGJoSXWTEEyHubuUHKZSial9GSKQBq5XnhKD0Bo/QKZ7ZYYbaUQq51R2hfb1i5FKBLh8jxKAwVbnQXQY+BQzJvxM5dcXnTP0MA20KtPX/YV5s3/PQ3ApurAxVcb5dVulum6JZaiKgiHx2+6BO4CszpcsGcVwuoJcM8/3fChYytMa0E3cqPFKh3gttlhzW4LW3YbWEizwLQWTw1JYNvncqQw1xrY1mLJnn3uWZxz7jnw+2jFXIq7Fti5ZAMg2wAgi6nAGi5NA9vpTAdm0lhrjnMmxolSdwU87j3OJXBPMIvLC1tRF1iCedJ8xXARJx3I1ntbpAPluvey9sIDaf48kdVW5kiHjB6FSZMma21T9J9TvVGUv3mQoXwEEQy1VVVM7Ixl9FbjVxWgLYNrFSxzObYTSRx8xkWsb/7gxSd1cd8a2ObfJ6UIk+LGieGOJS34x2VX4pQzzmQpwFat2ySKpLn8DGiD5kDeII4YfRDefOAmPPbRJDzzzS+w5RYg45jzkHHkmbB6zMXXljaPw4aOOT6V3dbX9nTW6CxKB7LVZiADYF4wrEkgWw+O+c8QipJvGvj23dewce0qxgg3hc3WX6NxkK0D/wKLrbmT8yBbUChH6nfT7kcD4fSfN5jJNBMGFnkxqG0W00rYk23PvnvZXE47/nnx0Zj0/FXo1j5fY7QFk4QwCDAnKlcDkSrY2x8Ii01R9tWoDgLQFgasOaitD6mUz6fTlD+tWR1hze+F5PbVqTfJWG0C21rKMXtOJ1i82YhUVbCUZIzJpkKsNgPUCdSWb8K6uT8hGuPzP0orqwSujzz9fHTu3V9Ka6FWdB5wczn5ANx2+x249777kKAb58B2SoqvhsC2UUlh+kQ2yOp0wxnMhU1dWTdtl6UA82cxwK2y2+rEX/pdGrRWjLublP9719+FbiuZCLb5/oJfpJKnkOR9kN8RVo//7775fa4tELudRdkMrJKGhhanra2bbN60ET98/z1OOekkfsaUvnDAWwTGO19PUwT21I3uWjzoaRXtoWVYbDOl464PMbKRBkQRsdtuse4Ystp6ms8IfKcB22lcyA3bEDTQ7fV44HI5sX379tQpRkoIiMG6v3zZBTN/Qo9B++viV2l+pBRF00YG3AropnlXIolgXhHzLPzklWdVcTUl57a2L7LaerG24QeOwmNPPoMrrroan3/zHRKM2XbJqcAkZtvi9jHAnd+mBP97+DYMOmAUksNOgL1N511cG/Zto8W8/IAbHbN9cHEAjq+t6Sydu7h2Bf5aosq4GGvdCMjWd+/cOVLT0QA2bUhhfObkr9C5z6C/xmY3CrK53OA6IK3Fcevycyf1TLYRu619d0JuHbK8+PjNV9AxLxN7g+0VQFuxQT07YPqbt+L6cw6HjbkNik3GQox37WYkKlcycTPpYOp1JBdpg1qeZoLENwiLLw/W3K6Ir5+JZLhaPJmJo5Equgy2oxHEaytRvfBLBrTZa3EJaEtgO4HCwUdi/dxpbBBQXcdlEE6DgNPrxwsP3olIJMrlxRNz2/H7BUVFGDxkKN57/30uHlsG22q8trVhsJ266pDerDbYAzmwB7LZSptpfyO7nV0Mqzej6RN/PXMhHmwVJrrb7q6bSNkxOEFHoZLZ7Gyya88sNFnsv9HIFTnTJwmlGU3c77rrLtxxx+3Sr5TCDmvTr1QmUA+yW1dbac2u4yaLvXuMQlSsxV1hYbHbejMAzmmhRwNgWwDd+jalH1u0fXr9qCOOwJdffpkiViiCbj7sQ2rJ/Fp/fkk79B95uABotDmQ6EIugWwpHE8RSWMExvgrUNp7IPMmVFzLNSAts9nyMe190PJ4J5No064D3nj3PXzx5Vd46tn/IG6xM8DN591moNuXCUe3YTjk7EsRyMrZFT+7aQZG40HHXD9yOXYbTVzHbBSQ60B2k93F+fOV+xCOG7fM2uoqjDn7IpYurLlsdkMx2YZiZ0bFkMnm2x44ETVe/Vy7H/qbsieNKs3F/h2y4XXvua7ietvrkI/L6cD9V5yIH167FT3KSoTXmNN4PAxbuxGwUFqJdKaI5vAsVbqGxeKIeJk1ad+a1wPxdT9LqcWUzyemnamhR1WwbQsWIVq1EbFQjQy0KU6bJPalDtzqDqDHaTcgFJJS14juS1LJyi/E73Nm6tTGjYUKqPJffsWV+O9rr6G6ujZVebwpYFt4LmncygkQuX1wZBfBSrFJpu02dpuUrMHSgjRlsm3EXLQGa2xoa21u5LrTPQHYc9vCSiyGabulLXhdTvg9LtgsVvXnmzZtKoKBAAb07WvMvOlZOD241h//u0zvtt6ItSbXcWKvTRZ797Lb1uw2DHAzdtuQ1W6KpQHb8p8asDZABnz7UUsCY446Al9+8QU31eBSBfHeKMp30YeFkIfKujXw+AMcANC5tyZ4N3JpLqXMt1TQnAQD2m88chcW/zZbZKwN3M4lwTXl/bLCeTLJPPgefeoZVFZV4+bb70SEQvOUmG2nB5bMQtg79IE10NRMGKa19IJfQdCN0hwfA3lqlWzgPXwVNup+BVC7kyDb6B7U66SkTUxi0exf0HPIAQLAbTab3RSQ3cDwKHmP6F3ljRe69OnLqJRme3F8zyK0zfRgb7O9DmgrNrBnR8x+55946e7z0LZQUvNNrJ8JC0u/5dwJ59Amc7jSuU4/rEUDDJhBWRiNuZFL4mjBAWciSS7tzH1cY7WZMFo8iU3zfsCKaZ/K8dlc5y6XIYccjZqqqtTKzCe95/btDgeuu/4G3PfAAzrXceM0XyrzzcC2nBMzxXVce0IWpwe2nDawZ+SbzF2rYbdLYKMYvabGAzc22uxSa+izWwvYbpobOWsL2WZbaC1mt9ng87jYgmwkEsbDD/8Ld915h1znJBdWo/jqFDGn5tbFxghC/sRkmkUvgRX8+8zSgql2MnxuFo9txmK3Ena7TQ9Y8toDdqeuujUyoxZcwNkbUvfTFRkEiOFM0nszMjIYuN6xvTIVXHPrm1p+Xh3YptzYn0+Aze7Q1syUuQ9j2+QUqDKYVt3IOaCs7NMc6/hLb8L7/36Y5eQWwDXHZquq5pwgraZyTp9nwQ233IbeffvjtDPOwpaKSjYu2LOKJAFTU6OjVbDbZbl+tMnwsBzpjZkeYOvBsQbCFcCrW8NqBGQr56SAdIGp1vJxfzfhf7DphJxT71G+HnfPKWx2oyDb2HU81Y3cyKsWHOGnnVscdOO4noUY1SlXXezY22zv/FayUc7Gc8YegIUfP4ibzjoIHq8PsFKOa+4koTLyNVw/2eeWqYzMYP5j9eYgUb4YidrNuikSp0JOeb9hQcUPzyEeDamsdiKelEsCWV2HYOPvv0ggmxdDkzv24o5lTM5fGSiUAUWKC1FWmqTPVpLdHzRyFDZv3ozFi5ekuJCnBkgZpP3ic20rDl4OF2NPmcuyslJuWqswNjFRWFVKI8UWTFqztSY2fSfcyKktEFuRVcQWOkxrXW3BYbfD5/Xiuef+wxhtZWakgmxxiV8HsNNcV68irmwMgLtRAJ6hKBpvO4Hvxfc3742WFgLbpP4e9LqR4aNJrCn81+rGhUAerG17w5LTTpofCdYYyE4DsFP8XHULRSntTPuso448At9++00Kgy07iaeCbPU8aS9JnoA2mygipQJubuKvMtt8kVzIleLw+nHBfc/A7vYiHI5IAFxOEaYvktu4VNh1ldhwef/4k07GfQ88iI2bt8DpC8JKiwGmtRqj+pPldaJLfgCFQTdsTfACEthiHizLrwrgOuV9SAuy+esozK+ezVZeW79qBdp37aEea/SeDdnrJoLsxpfRhHReKfHZ0PZzfU4c26MAx/YoRL5/754jtfbZdouY2+XAvdeeg3XzJ+OW84+Gj5eJlwLz+D8Yu6yKnKmDiM4/SXlVcdNQY4T4ZmCBNbszEhvnArILuaJUzjPaBLYduZ1Qt3audEyI004yUau2+x8jMNnKlgYLWj2d+OE72LjuT7mDF903tHzaPMMN3HHX3bjr7rulxq0w2dABa9U1XD4m7wviaHYHbJkFsOWUmG7ie4Ioji8T9rx2sPoyd0JJflebjjFs9WBb50ZOcdjBPAlgu/Y+F6i9yZxOJ7p37w6X1webw8mBbFER2TgVUjpLB8j10xGjRd7G9AcaB/tGRlXT6/Wirq5up96bzsOrMbNaJTVxYrFJBd601mukn2KlPqt9H1iy2sgLsY0w1Dx9x5+rVlGdB4ZQfcVVI+U82o486EBMmzZN+tsiZYnhU33JsxQtRluJ05ZB+eUPPaveVqrwki4NqhxTys+p9My2NyMbv0//ARNeeCIlTltktfn3KgJs0j6Z3+1Cvz69MWTIkL/lNzVt54y8bfL8LnQtCLAtLeqkNxFksyO69dm0PTYPYtOB7EbYbDqrpFMXnHzZjU0H2Wp6LiPX8fQgWyHtmlL0THaS+5xMtwNHdc/HaX3aoN0emhe7ubZPAG3FMoM+3HP5iVj06b9w8cmjuHydRvKVyvSKCwgyMnkg4A4IW4vdBWthXyARY1dUIyYEFfIonEV92LmqIFpCY7QJbHty22Lz4jmCcIfSwVNl7jPsIMz8cYq6mqqPy9YrkdOxdu3bo9+AAXj73fdkYG2l2ZHGYiuu4hzATvKA2+aAlUBFbjvGlramOEDTGjZyV7ORSF1ueyaY9reY6uPXlHqy07Qddoux55kNR3Yb2Nw+sy3saQy3yw2nPwNWB7nQ6sAEz2bzFAW3bwiQ09EZ/AnpZ2EGYGbnq3dOdjZTc/67nielVSMBOorHNseFPccslHYwpy2sHfrBEiyUDqajrlRm2gBsN2TCe7jryO9tW9IG69evF5hqxmDLE9YUN3KB9QbeffpByTtFr6Ghu22RdVNAuKhKrsyx+hx0OCq3bcEi0sJpQHFcmo9pbuR0E5leJ/KDXriZGKM5R9pTzGa1MGabGG7K4ZyKEgxANs9mGw4JIiOtbyqpLDfHZuvOU3beevpB7Ni21fA7CO/h17tSLsYd4ME9ty8cb6hb4D5Qe38SPocNh3fJw/mD2qFb3r6FF/YpoK1YYW4Gnr7lLCz69CHcOP4o5GcHpRfkSqGmgZFTZ4t1bfonTAAADsBJREFUUuqVlcqviKaljB1c5bT4CpHYtoS9plYuEkZLxJj7OBXYXYjVViAeqtUY7QSBcYm1ttqdWPnD58YuTskk+o4YjSGjDudWU7VVKzWHHR+vJKv8XXXV1XjzzTdRUVFpEJ+tF0CTtmzxIJgLe24JbN7gPtVg9saJFWNg89rD6stqegz3zn1amv2Wsqa7+baUWcibw08Auxg2c7Fpj2f1HB4/nMFs2EjAkY0DOiCR8rdB6ryUOmhUF3Ugw8gENvGvWW5uLgsVaikzWi6jianP5USmzw2302GOC3uwWexOWAtKYe04AJbsEraobmwN1N+mfI7qOcJdK0lguwTr1q7VwDVjGg3SffEJHmSwXVNViVBdTYoaeeqda4ydNF+Smbs0c6xTrr0bJV16or6ujovj1mvmSCCb8v7m+91ol+1DwO0028IebKQt0SbTg675AebiTKkiRSAsnSfEV3OmgVaRpTY0Ya6uW9NNY+tWLGWCyGmvpzax3UNCFPmdGNO9AJcO74h+bTKZp9O+Zvsk0FasXVEO7rtiHFZ+/Shee+BCDO9Xpk6atMag/c9AuOxTri6WynVXSQ3DY07tZckdMVGziSMoOEE0mdWOh2pQv24+x2jL20QCjow8hGt2aB2/qpIprcDa3W588MrziMTicj5tzUVczHMnstokjHbrbbfjnvvu4+Kx9arj0j4pJpN4BymJS6Bin64+e5VReIItmMPyO1MYgMXp3nWxzDz90OL215i/ppkFVpfcFrKoLfjNtrCXeXvYCXBn5MHmy2CLKcyS6UB2OjDcGEjWM+XpTvvrlbm4uBgbNmxAixgPbsgF325D0Esu4h64TNZurzLSXbHSImyngbAUdQE8AaSniJtzZX27URhxKXxi/2FDMX36L5KruFwkZtsCK5/uS2C0JTfyrn0HIVxfly7aT/s0A3fZRBphNCo2pxsrFs7HO/9+WFUV19jtBAvRy/I60DnXj7K8AGOyTdG/vcecdiuKMjzoURhkeZ59TlsKyE4HpFNAdpo+nWeOedDdkHXvPwTWRlLnNjRK7QqjxYi+xRn4x5D2uHCYBLBpwWJftX33m3PmdNhx2pFDMfXVWzHrvXvwjxNHIuB1SR24nKZCnVtYdJWW68Wls7SqnFRjjCywZpUB9eXa6SorToBbAt3O/O4IbVrEgDWBbIXNVsqACx9ATAbSouu4pKhpsdmwdOF8Qf1SSBqfhtUeMmwYwuEwZs2ZK30Hlcm2kqIcrN4gAxSUC9sUdtoXRNOCLByAsdzkVr7HeSzsouHEamfx7Y6cYtiDOWZb2AfaAjHbtMhpz8yH1e3fRYtDzavLmqAUf44+nlbEMMXFRSrQTmnOAiCRE1Q28j0JQHhcDmT4PSxlGqm5m7aXpwQL5sHWrjes7ftKebhZmJlywl+5ugKwtb+HDR2Cn3/+Wa2LfN57QRxNAd9cGrARRx4Hj8fXxLVcra1orDZHSsikhUReJNGp32DU7KhkgFsC5YDLZkWnHB+GtMtmytU+l15QzrS9yaiuZfuc6FYQRM/CAHL9klu5xm7zGMCgC08RFUufzkvvim1kffYfqXufuK9PBtaQaWtnOzeHyvY4cHjXfNwwsgwn9C5GyV6YqmtnzJJUEq6ZJlhVTT3e/PwnvPfNTEyfv4J1qoYmA1fNJZzS+3C6aDwQj9QgafMwRUz1B7DZYSem2OVjboukbunwBuHy+eD0OOHyOOD2OOH22FG56Ae47UCvUWMQ9DhYCbjs8Lvt8Dps+HPhXISqKzHysCPgttmYVD6tLJFivrS1MCVFWliirV3e0mpxRflW/OOC8/Hxhx8wlVi6R5vdzpQxTdfwfduY50V9FZL11UhGQjt3EXX23ojmQcqbjM5Pk69a/96WWCCg9uH0MAabWH6zLezbRouiiVANEuFaJKNhjtHmT1L+S+5EPefrNieypxOglBZEuQwQ3N+aqKUW8vPHokV4839v4f777xeJSP0tc15YRq6LdjuNK3bYbZSLfE9bgDOtJY2FvVVtRbKmHAjViAKp3GK9PhyN1W8r/7dNClmy2pCUtwlYMXbcyfjwo4+RgIXlpo7K7DGlOY3I23A8gUgsiVA8gXAsjlAsge+//gxV1dUYctQ4RNhxOichvV/O3MKICBk8ayrm0vyIMeg0V2JzJivsNmnuRHXeYbUwz0K/04GubfPRKdePQr/LbAv7uFG93FoTRnltGNXhmBbFRi9yJFcihd0WRdAU4WLe1Ry6v3ntJQpvePjq8bj+yVd0abSMUmvpFfdF9X1RvIy7L+Wz0zitEM7okutDv5JMtjXHhVQzl97SWNDvwaWnHsLK1ooqfPXjfHw2bR6++2UhauvD0kmSXLc4oU+DIxiLXLkKcGcDwTbcCxIdnUzGGaCpXvAFfKXD4HB3R1J1HZeKr7gTNv3yKWIHHS0y2nJDKeszABXrVkvu5FbpNaucx1FZoSWG3cpU1ek92ipwbn4+br/jDmzZWo6OpaVmYzFNq9Ik9EXx274saXIVrkUiVMu2LeHW2urMapPBtQcWhwmuTRPjuEmXggr118lwnQS6I/V/a1uQhDVp/JC5FGXQEf6W3a8sQGlpKVauXCm/Vz5VuJ58uvxWyQ9LEnMi0VBirE1wbZpQB212WLKKgKwiJClNaW0lknXbgbqqnXtQnFyzheL9SSm/thZuH7mra16FqvI4cym3wGpNwpbQtHWKO3TC0s8+0HJrN/GjyQjo0HUEsTRSJieBP4cNZbk+lHYvQL7XwTwhTTONjBZiioJuVqLxBCrqIqioi2J7fYTNu9X+thGl8eZaPBaF3W5cD3n18yabfHPpeEXFMj0OdMv3o1ueHx1zfOz7m5bezJ6iCZaXHcTZx45gJRyJYsrMRfh82jx88f1vWL9le/qOXMDfFliD7ZAo/0ME2qoCOYHqOEvzFdqwAL7iLsyFnHcfd+eUIFBcaqiKqQDuVx65B7c/+QKcfh+3SiUNHPQ3gWxaVSM3LYqZcDs1hmLkQQc15XGYtq9PrrwZzKWc6QyE65Ekhi9Uy5T192jxH6cHFpeHCQ+aZlqjdcZqg8UTYBkXWB8eqZcXoeqa2BaaMzlRlDoVT6nmTWzcbjdCoaZ5oxCbJwFrG2z7cFydac3T+LAE84BgHhsXQN5PdTuQrK9SU5s2bKkOr/369sW8uXMx7IADdUrjCkHA8qLIbuMaK13cvpSJwwrpv3hhQ31ct/5OOBBUGHCja54fXfL8e32uX9NaxmheXRBws0Jz7sr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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Median correlation with constructed map: 1.000\n", + "Displaying selected ICs per subject.\n", + "No maps selected for subject [1], consider a more liberal threshold.\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[{'blink': [np.int64(0)]}, {'blink': []}]\n", + "Applying ICA to Epochs instance\n", + " Transforming to ICA space (15 components)\n", + " Zeroing out 1 ICA component\n", + " Projecting back using 31 PCA components\n", + "Applying ICA to Epochs instance\n", + " Transforming to ICA space (15 components)\n", + " Zeroing out 0 ICA components\n", + " Projecting back using 31 PCA components\n", + "ICA correction completed.\n" + ] + } + ], + "source": [ + "# Compute ICA for each participant with 15 components\n", + "icas = prep.ICA_fit([\n", + " epo1, epo2\n", + "],\n", + " n_components=15,\n", + " method='infomax',\n", + " fit_params=dict(extended=True),\n", + " random_state=42\n", + ")\n", + "\n", + "# Select the relevant independent components for artefact rejection\n", + "cleaned_epochs_ICA = prep.ICA_choice_comp(icas, [epo1, epo2])\n", + "print('ICA correction completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "LcMtA6btIG0i" + }, + "source": [ + "Selecting relevant Independant Components for artefact rejection on one participant, that will be transpose to the other participant and removing them for both." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "You can also use the mne-icalabel to automatically detect the not brain related components. Since this library depends on machine learning frameworks with complicated dependancies, we did not include it in the base requirements of HyPyP. If you want to test this automated approach of ICA annotation, just install it using ```pip install mne-icalabel``` and use the function below:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "```python\n", + "from mne_icalabel import label_components\n", + "\n", + "def ICA_autocorrect(icas: list, epochs: list, verbose: bool = False) -> list:\n", + " \"\"\"\n", + " Automatically detect the ICA components that are not brain related and remove them.\n", + "\n", + " Arguments:\n", + " icas: list of Independent Components for each participant (IC are MNE\n", + " objects).\n", + " epochs: list of 2 Epochs objects (for each participant). Epochs_S1\n", + " and Epochs_S2 correspond to a condition and can result from the\n", + " concatenation of Epochs from different experimental realisations\n", + " of the condition.\n", + " Epochs are MNE objects: data are stored in an array of shape\n", + " (n_epochs, n_channels, n_times) and parameters information is\n", + " stored in a disctionnary.\n", + " verbose: option to plot data before and after ICA correction, \n", + " boolean, set to False by default. \n", + "\n", + " Returns:\n", + " cleaned_epochs_ICA: list of 2 cleaned Epochs for each participant\n", + " (the non-brain related IC have been removed from the signal).\n", + " \"\"\"\n", + "\n", + " cleaned_epochs_ICA = []\n", + " for ica, epoch in zip(icas, epochs):\n", + " ica_with_labels_fitted = label_components(epoch, ica, method=\"iclabel\")\n", + " ica_with_labels_component_detected = ica_with_labels_fitted[\"labels\"]\n", + " # Remove non-brain components (take only brain components for each subject)\n", + " excluded_idx_components = [idx for idx, label in enumerate(ica_with_labels_component_detected) if label not in [\"brain\"]]\n", + " cleaned_epoch_ICA = mne.Epochs.copy(epoch)\n", + " cleaned_epoch_ICA.info['bads'] = []\n", + " ica.apply(cleaned_epoch_ICA, exclude=excluded_idx_components)\n", + " cleaned_epoch_ICA.info['bads'] = copy.deepcopy(epoch.info['bads'])\n", + " cleaned_epochs_ICA.append(cleaned_epoch_ICA)\n", + "\n", + " if verbose:\n", + " epoch.plot(title='Before ICA correction', show=True)\n", + " cleaned_epoch_ICA.plot(title='After ICA correction',show=True)\n", + " return cleaned_epochs_ICA\n", + "\n", + "cleaned_epochs_ICA = ICA_autocorrect(icas, [epo1, epo2], verbose=True)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "t6ohyHwyM5_Q" + }, + "source": [ + "### Autoreject\n", + "\n", + "In this cell, we apply the local AutoReject algorithm using HyPyP. This step automatically rejects or interpolates bad epochs/channels while ensuring that the same channels/epochs are removed across participants. Verbose output provides a before/after comparison." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "8d3b374a199340a1aaae30cdfcbd2f3a", + "d1503a246d2144718a66002ae1ccd369", + "9c460121a3564ae9955ca30d3045a4cb", + "cf8222dc26fc44b186b8945fa9fc609a", + "6c3135af182045449e9efdc2ccc1cd9c", + "791792fcc7164fe98c0e2676b400286f", + "7af8b530217e423a8a4c78435c01ed32", + "d7463bb385ff4178baa222c7ca0d7097", + "6aff82fd480f4955a46e237e6c3bbdb5", + "fc2cfc3a28444dd6b76efb2d71f92bbb", + "95c2d620592a4c66a60a96a71393d127", + "f35b4ebc653942b4bed2957222b2c040", + "55807a677ed14ef18e529c65a787d0e0", + "b91d73ded847438c874f812ce0025a12", + "992811ccbbd748e1b37433eb5fcd2dfe", + "1194de640c2c40de95bbef7792d90a62", + "18e16d7d3fd7462c924dae3ecd172666", + "0305e4c99c3d45ea9103924b8879c60b", + "2c3e178d32874aa298f15d90f4589646", + "40e340b7ae61499ea7eec6759bc65261", + 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strategy=\"union\",\n", + " threshold=50.0,\n", + " verbose=True\n", + ")\n", + "print('AutoReject completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "yIzhL56sPBW7" + }, + "source": [ + "### Picking Preprocessed Epochs\n", + "\n", + "After cleaning, we separate the preprocessed epochs for each participant for further analysis." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "executionInfo": { + "elapsed": 177, + "status": "ok", + "timestamp": 1655930418700, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "gNHNKB0wPNOC" + }, + "outputs": [], + "source": [ + "# Assign cleaned epochs to individual participant variables\n", + "preproc_S1 = cleaned_epochs_AR[0]\n", + "preproc_S2 = cleaned_epochs_AR[1]\n", + "print('Preprocessed epochs for both participants are ready.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lz1mu3DMQUdP" + }, + "source": [ + "## Analysing Data: Welch Power Spectral Density (PSD)\n", + "\n", + "Here we compute the PSD for each participant in the Alpha-Low band using the HyPyP `analyses.pow` function. The PSD values are averaged across epochs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 191, + "status": "ok", + "timestamp": 1655930441498, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "vYrIa3VrLtKu", + "outputId": "b4bfbaa7-031c-4a54-ae3e-e55620bb9b94" + }, + "outputs": [], + "source": [ + "# Compute PSD for participant 1 in the Alpha-Low band\n", + "psd1 = analyses.pow(\n", + " preproc_S1,\n", + " fmin=7.5,\n", + " fmax=11,\n", + " n_fft=1000,\n", + " n_per_seg=1000,\n", + " epochs_average=True\n", + ")\n", + "\n", + "# Compute PSD for participant 2 in the Alpha-Low band\n", + "psd2 = analyses.pow(\n", + " preproc_S2,\n", + " fmin=7.5,\n", + " fmax=11,\n", + " n_fft=1000,\n", + " n_per_seg=1000,\n", + " epochs_average=True\n", + ")\n", + "\n", + "# Combine PSD data into a single array\n", + "data_psd = np.array([psd1.psd, psd2.psd])\n", + "print('PSD analysis completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Hq2Cvg0uQ4NY" + }, + "source": [ + "## Connectivity Analysis\n", + "\n", + "In this section we compute brain connectivity metrics. \n", + "\n", + "1. We first compute the analytic signal per frequency band using `analyses.compute_freq_bands`.\n", + "2. Then, we compute connectivity (using the 'ccorr' mode) and average across epochs.\n", + "3. We slice the resulting connectivity matrices to extract both inter-brain (between participants) and intra-brain (within a participant) connectivity values.\n", + "4. A Z-score normalization is performed for illustration purposes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "executionInfo": { + "elapsed": 179, + "status": "ok", + "timestamp": 1655930449033, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "RhqMurdnMMHN" + }, + "outputs": [], + "source": [ + "# Prepare data for connectivity analysis (combine both participants)\n", + "data_inter = np.array([preproc_S1, preproc_S2])\n", + "result_intra = []\n", + "\n", + "# Compute the analytic signal in each frequency band\n", + "complex_signal = analyses.compute_freq_bands(\n", + " data_inter,\n", + " sampling_rate,\n", + " freq_bands,\n", + " filter_length=int(sampling_rate), # Adjust filter length based on sampling rate\n", + " l_trans_bandwidth=5.0, # Reduced transition bandwidth\n", + " h_trans_bandwidth=5.0\n", + ")\n", + "\n", + "# Compute connectivity using cross-correlation ('ccorr') and average across epochs\n", + "result = analyses.compute_sync(complex_signal, mode='ccorr', epochs_average=True)\n", + "\n", + "# Determine the number of channels\n", + "n_ch = len(epo1.info['ch_names'])\n", + "\n", + "# Slice the connectivity matrix to get inter-brain connectivity in the Alpha-Low band\n", + "alpha_low, alpha_high = result[:, 0:n_ch, n_ch:2*n_ch]\n", + "\n", + "# For further analysis, choose the Alpha-Low band values\n", + "values = alpha_low\n", + "\n", + "# Compute a Z-score normalized connectivity matrix\n", + "C = (values - np.mean(values[:])) / np.std(values[:])\n", + "\n", + "# Process intra-brain connectivity for each participant\n", + "for i in [0, 1]:\n", + " # Slice intra-brain connectivity matrix\n", + " alpha_low, alpha_high = result[:, (i * n_ch):((i + 1) * n_ch), (i * n_ch): ((i + 1) * n_ch)]\n", + " values_intra = alpha_low\n", + " \n", + " # Remove self-connections\n", + " values_intra -= np.diag(np.diag(values_intra))\n", + " \n", + " # Compute Z-score normalization for intra connectivity\n", + " C_intra = (values_intra - np.mean(values_intra[:])) / np.std(values_intra[:])\n", + " result_intra.append(C_intra)\n", + "\n", + "print('Connectivity analysis completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0Z8lcGfAyXzt" + }, + "source": [ + "## Statistical Analyses\n", + "\n", + "We perform several statistical tests on the computed PSD and connectivity data. These include:\n", + "\n", + "- A parametric permutation t-test on the PSD values.\n", + "- Non-parametric cluster-based permutation tests for both PSD and connectivity data." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UtFM0qsQyYFP" + }, + "source": [ + "#### 1/ MNE test without any correction\n", + "This function takes samples (observations) by number of tests (variables i.e. channels), thus PSD values are averaged in the frequency dimension\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 163, + "status": "ok", + "timestamp": 1655930502229, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "xz9Jme5wzPBc", + "outputId": "dd400a32-52a2-4c02-d5b9-0c3157cf1e60" + }, + "outputs": [], + "source": [ + "# Compute mean PSD values for each channel across epochs for both participants\n", + "psd1_mean = np.mean(psd1.psd, axis=1)\n", + "psd2_mean = np.mean(psd2.psd, axis=1)\n", + "\n", + "# Combine the means into a single array for the t-test\n", + "X = np.array([psd1_mean, psd2_mean])\n", + "\n", + "# Perform permutation t-test (using MNE) without correction for multiple comparisons\n", + "T_obs, p_values, H0 = mne.stats.permutation_t_test(\n", + " X=X,\n", + " n_permutations=5000,\n", + " tail=0,\n", + " n_jobs=1\n", + ")\n", + "print('Permutation t-test completed.')\n", + "\n", + "# Alternatively, compute statistical conditions using HyPyP's statsCond function\n", + "statsCondTuple = stats.statsCond(\n", + " data=data_psd,\n", + " epochs=preproc_S1,\n", + " n_permutations=5000,\n", + " alpha=0.05\n", + ")\n", + "print('Statistical condition tuple computed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ZhTWdXCVzbKd" + }, + "source": [ + "### Non-parametric Cluster-Based Permutations\n", + "\n", + "Here, we create a priori connectivity matrices based on sensor positions and then perform cluster-based permutation tests. \n", + "\n", + "In this example, we create two fake groups (by replicating each participant's PSD data with added noise) and run the permutation test." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 119, + "status": "ok", + "timestamp": 1655930509971, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "kW_LW9hYzW03", + "outputId": "d4816cab-e1dd-44f3-e553-25a1d1311836" + }, + "outputs": [], + "source": [ + "# Create connectivity matrix for a priori sensor connectivity using participant 1's sensor layout\n", + "con_matrixTuple = stats.con_matrix(preproc_S1, freqs_mean=psd1.freq_list)\n", + "ch_con_freq = con_matrixTuple.ch_con_freq\n", + "\n", + "# Create two fake groups by replicating the PSD data and adding a small noise\n", + "noise_level = 1e-6 # Small noise to break exact duplicates\n", + "data_group = [\n", + " np.array([psd1.psd + np.random.normal(0, noise_level, psd1.psd.shape) for _ in range(3)]),\n", + " np.array([psd2.psd + np.random.normal(0, noise_level, psd2.psd.shape) for _ in range(3)])\n", + "]\n", + "\n", + "# Perform non-parametric cluster-based permutation test on the fake groups\n", + "statscondCluster = stats.statscondCluster(\n", + " data=data_group,\n", + " freqs_mean=psd1.freq_list,\n", + " ch_con_freq=scipy.sparse.bsr_matrix(ch_con_freq),\n", + " tail=1,\n", + " n_permutations=5000,\n", + " alpha=0.05\n", + ")\n", + "print('Cluster-based permutation test for PSD completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "SjqeFyuvztQN" + }, + "source": [ + "### Comparing Intra-Brain Connectivity Between Participants\n", + "\n", + "We now compute a connectivity matrix for intra-brain connectivity and perform a cluster-based permutation test comparing the two participants. \n", + "\n", + "Again, we generate two fake groups by replicating each participant’s intra-brain connectivity data and adding noise.\n", + "\n", + "Note that for connectivity, values are computed for every integer in the frequency bin from fmin to fmax, freqs_mean=np.arange(fmin, fmax) whereas in PSD it depends on the n_fft parameter psd.freq_list\n", + "\n", + "For CSD, values are averaged across each frequencies so you do not need to take frequency into account to correct clusters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 285, + "status": "ok", + "timestamp": 1655930519902, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "FX590l_izvaY", + "outputId": "351b4d0e-ab43-4c68-8abb-151fe4682cd1" + }, + "outputs": [], + "source": [ + "# Create connectivity matrix for intra-brain connectivity\n", + "con_matrixTuple = stats.con_matrix(\n", + " epochs=preproc_S1,\n", + " freqs_mean=np.arange(7.5, 11),\n", + " draw=False\n", + ")\n", + "\n", + "ch_con = con_matrixTuple.ch_con\n", + "\n", + "# Create fake groups for intra-brain connectivity analysis\n", + "Alpha_Low = [\n", + " np.array([\n", + " result_intra[0] + np.random.normal(0, noise_level, result_intra[0].shape),\n", + " result_intra[0] + np.random.normal(0, noise_level, result_intra[0].shape)\n", + " ]),\n", + " np.array([\n", + " result_intra[1] + np.random.normal(0, noise_level, result_intra[1].shape),\n", + " result_intra[1] + np.random.normal(0, noise_level, result_intra[1].shape)\n", + " ])\n", + "]\n", + "\n", + "# Run cluster-based permutation test for intra-brain connectivity\n", + "statscondCluster_intra = stats.statscondCluster(\n", + " data=Alpha_Low,\n", + " freqs_mean=np.arange(7.5, 11),\n", + " ch_con_freq=scipy.sparse.bsr_matrix(ch_con),\n", + " tail=1,\n", + " n_permutations=5000,\n", + " alpha=0.05\n", + ")\n", + "print('Intra-brain connectivity cluster test completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "m1vGH36V0GWz" + }, + "source": [ + "### Comparing Inter-Brain Connectivity to Random Signal\n", + "\n", + "Finally, we compare inter-brain connectivity values to a random signal. In this case, no a priori connectivity matrix is used between the two participants. We again create fake groups and run the permutation test." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 240, + "referenced_widgets": [ + "dd43c472378f4ab6a7919db021571fb2", + "b0f7ae38551d420c86a71895dd834744", + "b24d8012960d441ea1a9a442216989e2", + "e0829fe70b7c42c2930814e9821a3cc4", + "4d727918c7304e44926ac4cf8d29950b", + "b78083b7650941fbaab111a7d0f9a270", + "242daf6db30545749f6f29586b652c70", + "1a403754dd43403ca89582c07b76b68f", + "bbd9f3322a6b43d3ae69f93533361455", + "0aa420e5213e4bdf998c3a5e38f5ab39", + "df3385836929484d9257154fca1fb255" + ] + }, + "executionInfo": { + "elapsed": 2124, + "status": "ok", + "timestamp": 1655930543776, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "iMRLQbcp0Ix3", + "outputId": "e8bea9f6-f0ae-44e9-dfcc-5cb0ce567d1f" + }, + "outputs": [], + "source": [ + "# Create fake groups for inter-brain connectivity analysis\n", + "data = [\n", + " np.array([\n", + " values, \n", + " values + np.random.normal(0, 1e-6, values.shape)\n", + " ]), \n", + " np.array([\n", + " result_intra[0], \n", + " result_intra[0] + np.random.normal(0, 1e-6, result_intra[0].shape)\n", + " ])\n", + "]\n", + "\n", + "print(len(data[0][0]), len(data[0][1]), len(data[1][0]), len(data[1][1]))\n", + "\n", + "\n", + "# Run cluster-based permutation test for inter-brain connectivity without connectivity priors\n", + "statscondCluster = stats.statscondCluster(\n", + " data=data,\n", + " freqs_mean=np.linspace(7.5, 11, data[0].shape[-1]),\n", + " ch_con_freq=None,\n", + " tail=0,\n", + " n_permutations=5000,\n", + " alpha=0.05\n", + ")\n", + "print('Inter-brain connectivity cluster test completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "z48QVQbd0MqS" + }, + "source": [ + "## Visualization\n", + "\n", + "In this final section, we visualize the statistical results and connectivity maps. We use HyPyP visualization functions to:\n", + "\n", + "- Plot sensor-level T-values for all sensors and for only significant sensors.\n", + "- Visualize inter-brain connectivity on 2D and 3D head models.\n", + "- Visualize intra-brain connectivity for each participant in both 2D and 3D.\n", + "\n", + "Note: We manually specify bad channels for visualization purposes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "executionInfo": { + "elapsed": 182, + "status": "ok", + "timestamp": 1655930547067, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "iibgjO7m0Wbm" + }, + "outputs": [], + "source": [ + "# Plot sensor-level T-values using the t-statistics computed earlier\n", + "viz.plot_significant_sensors(\n", + " T_obs_plot=statsCondTuple.T_obs,\n", + " epochs=preproc_S1\n", + ")\n", + "print('Sensor-level T-values plotted.')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 268 + }, + "executionInfo": { + "elapsed": 198, + "status": "ok", + "timestamp": 1655930548630, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "ovHmQUiw0ii4", + "outputId": "c58ac0c0-843b-4ee7-f8d7-e4120cb7b988" + }, + "outputs": [], + "source": [ + "# Plot only the T-values for sensors that are statistically significant\n", + "viz.plot_significant_sensors(\n", + " T_obs_plot=statsCondTuple.T_obs_plot,\n", + " epochs=preproc_S1\n", + ")\n", + "print('Significant sensors T-values plotted.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WtL6AznE0qpC" + }, + "source": [ + "### Visulization of inter-brain links projected\n", + "on either 2D or 3D head models\n", + "\n", + "It can be applied to Cohen’s D (C as done here) or statistical values (statscondCluster.F_obs or F_obs_plot) of inter-individual brain connectivity\n", + "\n", + "We can defining manually bad channel for viz test:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "executionInfo": { + "elapsed": 142, + "status": "ok", + "timestamp": 1655930553054, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "TIDFZpMj0tYT" + }, + "outputs": [], + "source": [ + "epo1.info['bads'] = ['F8', 'Fp2', 'Cz', 'O2']\n", + "epo2.info['bads'] = ['F7', 'O1']" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "TjtaT3sU0zBY" + }, + "source": [ + "### Visualisation of brain connectivity in 2D and 3D\n", + "Defining head model and adding sensors\n", + "\n", + "Warning, threshold='auto' must be used carefully, it is calculated specifically for the dyad, and therefore does not allow comparability between different dyads." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Ex7kte2z04RJ" + }, + "source": [ + "#### Visualization of inter-brain connectivity in 2D" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NBgcVHZv1uTb" + }, + "source": [ + "Inter-brain Hilbert-based connectivity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 255 + }, + "executionInfo": { + "elapsed": 1471, + "status": "ok", + "timestamp": 1655931287231, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "1-QkjyZ40_Rs", + "outputId": "0b14a3f9-322f-4711-88b9-8fec96708826" + }, + "outputs": [], + "source": [ + "viz.viz_2D_topomap_inter(epo1, epo2, C, threshold='auto', steps=10, lab=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "-DNnKRHx1HY-" + }, + "source": [ + "#### Visualization of inter-brain connectivity in 3D" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5uow5QT5T-5c" + }, + "source": [ + "Inter-brain Hilbert-based connectivity\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 314 + }, + "executionInfo": { + "elapsed": 6745, + "status": "ok", + "timestamp": 1655932494521, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "EDB-5BukUQL1", + "outputId": "479faa32-34e4-4482-a50b-90136f7ebf82" + }, + "outputs": [], + "source": [ + "viz.viz_3D_inter(epo1, epo2, C, threshold='auto', steps=10, lab=False)\n", + "print('3D inter-brain connectivity visualization completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2nqp2oLu1TkN" + }, + "source": [ + "#### Visualization of intra-brain connectivity in 2D" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Mv-6VKM_56OE" + }, + "source": [ + "Intra-brain Hilbert-based connectivity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 199 + }, + "executionInfo": { + "elapsed": 606, + "status": "ok", + "timestamp": 1655932584666, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "9_6MkhjD1SqY", + "outputId": "fdd40d0e-4252-4628-ad78-65b78026f9cc" + }, + "outputs": [], + "source": [ + "viz.viz_2D_topomap_intra(epo1, epo2,\n", + " C1= result_intra[0],\n", + " C2= result_intra[1],\n", + " threshold='auto',\n", + " steps=2,\n", + " lab=False)\n", + "\n", + "print('2D intra-brain connectivity map plotted.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "-LNYHbm21a__" + }, + "source": [ + "#### Visualization of intra-brain connectivity in 3D" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "xhxEcfMBU1Gw" + }, + "source": [ + "Intra-brain Hilbert-based connectivity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 314 + }, + "executionInfo": { + "elapsed": 7843, + "status": "ok", + "timestamp": 1655932619684, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "_osUT5sk1fOQ", + "outputId": "d03b89fd-689f-4e52-90f4-fe817cdc0428" + }, + "outputs": [], + "source": [ + "viz.viz_3D_intra(epo1, epo2,\n", + " C1= result_intra[0],\n", + " C2= result_intra[1],\n", + " threshold='auto',\n", + " steps=10,\n", + " lab=False,\n", + " )\n", + "\n", + "print('3D intra-brain connectivity visualization completed.')" + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [], + "name": "getting_started.ipynb", + "provenance": [] + }, + "kernelspec": { + "display_name": "hypyp-env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + 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ade9ec31474f671bae4f78156150d23bda6c9160 Mon Sep 17 00:00:00 2001 From: JoaquimStr Date: Wed, 28 Jan 2026 15:14:44 -0500 Subject: [PATCH 2/6] JS --- getting_started.ipynb | 2 ++ 1 file changed, 2 insertions(+) diff --git a/getting_started.ipynb b/getting_started.ipynb index ab280cb..7b8dcc9 100644 --- a/getting_started.ipynb +++ b/getting_started.ipynb @@ -284,6 +284,8 @@ "source": [ "# ***JS: USE SIMULATED DATA INSTEAD***\n", "\n", + "tets\n", + "\n", "## Loading Data \n", "\n", "In this section we download the EEG datasets for two participants, convert them to MNE Epochs, and equalize the number of epochs across participants. \n", From f930d5b0a2318beec60667a9c2ddbe426420f345 Mon Sep 17 00:00:00 2001 From: JoaquimStr Date: Wed, 28 Jan 2026 15:17:29 -0500 Subject: [PATCH 3/6] JS --- getting_started.ipynb | 16080 +--------------------------------------- 1 file changed, 1 insertion(+), 16079 deletions(-) diff --git a/getting_started.ipynb b/getting_started.ipynb index 7b8dcc9..52e005d 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e8f7d80191f01adb7b5dd2def4ef0815fda9321b Mon Sep 17 00:00:00 2001 From: JoaquimStr Date: Wed, 28 Jan 2026 16:37:24 -0500 Subject: [PATCH 4/6] ICA --- 01_-_Short_Getting_Started.ipynb | 392 +++ .../.github/copilot-instructions.md | 100 + ConnectivityMetricsTutorials-main/.gitignore | 42 + .../.pre-commit-config.yaml | 25 + ConnectivityMetricsTutorials-main/LICENSE | 12 + ConnectivityMetricsTutorials-main/README.md | 1 + .../A01_signals_and_sampling.ipynb | 1417 ++++++++ .../A01_signals_and_sampling_quick.ipynb | 1158 ++++++ .../A02_frequency_domain.ipynb | 1782 ++++++++++ .../A02_frequency_domain_quick.ipynb | 911 +++++ .../A03_power_spectrum_frequency_bands.ipynb | 2539 ++++++++++++++ ...power_spectrum_frequency_bands_quick.ipynb | 982 ++++++ .../A04a_filter_fundamentals.ipynb | 1281 +++++++ .../A04a_filter_fundamentals_quick.ipynb | 687 ++++ .../A04b_applied_filtering.ipynb | 1436 ++++++++ .../A04b_applied_filtering_quick.ipynb | 777 +++++ .../B01_hilbert_transform.ipynb | 2488 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Hyperscanning Analysis with HyPyP\n", + "\n", + "In this notebook, we introduce the basics of hyperscanning analysis using the HyPyP library. We will:\n", + "- Load epoch data for two participants.\n", + "- Construct a dyad (by combining the data into a single array).\n", + "- Compute a synchronization metric (circular correlation) using a connectivity analysis function.\n", + "- Visualize the resulting inter-brain synchrony connectivity matrix." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afeec199-af57-4ae7-9f43-e37209b49810", + "metadata": {}, + "outputs": [], + "source": [ + "import mne\n", + "import numpy as np\n", + "from collections import OrderedDict\n", + "import pickle\n", + "import os\n", + "import urllib.request\n", + "\n", + "# HyPyP modules for I/O, analyses, and visualization\n", + "import hypyp.io as io # For loading and constructing dyads\n", + "import hypyp.analyses as analyses # For computing synchronization metrics\n", + "import hypyp.prep as prep # Preprocessing module (for ICA and other cleaning routines)\n", + "import hypyp.viz as viz # For visualizing results\n", + "\n", + "# Confirm successful import of libraries\n", + "print(\"Libraries imported successfully.\")" + ] + }, + { + "cell_type": "markdown", + "id": "4055eb95-0f79-4ad7-8f32-dbe3440ae2f6", + "metadata": {}, + "source": [ + "## Loading the Data\n", + "\n", + "We load the epoch files for two participants from:\n", + "- `./data/participant1-epo.fif`\n", + "- `./data/participant2-epo.fif`\n", + "\n", + "Each file contains one epoch (a single trial) for one participant. After loading, we equalize the number of epochs between participants and print summaries for verification." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1627f0e9-1e3c-4681-8db7-13c528a7b61c", + "metadata": {}, + "outputs": [], + "source": [ + "# Download epoch files from GitHub if not already present locally\n", + "epoch_files = {\n", + " \"participant1-epo.fif\": \"https://raw.githubusercontent.com/ppsp-team/HypypData/main/mne/epochs/participant1-epo.fif\",\n", + " \"participant2-epo.fif\": \"https://raw.githubusercontent.com/ppsp-team/HypypData/main/mne/epochs/participant2-epo.fif\"\n", + "}\n", + "\n", + "os.makedirs(\"./data/\", exist_ok=True)\n", + "\n", + "for filename, url in epoch_files.items():\n", + " filepath = os.path.join(\"./data/\", filename)\n", + " if not os.path.exists(filepath):\n", + " print(f\"Downloading {filename} from GitHub...\")\n", + " urllib.request.urlretrieve(url, filepath)\n", + " print(f\"Download complete: {filename}\")\n", + " else:\n", + " print(f\"File already exists locally: {filepath}\")\n", + "\n", + "# Load epochs for participant 1 and participant 2\n", + "epo1 = mne.read_epochs(\"./data/participant1-epo.fif\", preload=True)\n", + "epo2 = mne.read_epochs(\"./data/participant2-epo.fif\", preload=True)\n", + "\n", + "# Equalize the number of epochs between participants to ensure consistent analysis\n", + "mne.epochs.equalize_epoch_counts([epo1, epo2])\n", + "\n", + "# Print summaries to verify that the epochs have been loaded correctly\n", + "print(\"Participant 1 Epochs:\")\n", + "print(epo1)\n", + "print(\"\\nParticipant 2 Epochs:\")\n", + "print(epo2)" + ] + }, + { + "cell_type": "markdown", + "id": "1af0aa41-2e5e-449c-bdb6-ac8fcf51ef97", + "metadata": {}, + "source": [ + "## Preprocessing with ICA\n", + "\n", + "Before computing connectivity, we perform additional preprocessing to remove artifacts such as eye blinks. \n", + "Here we apply ICA using functions from `hypyp.prep`. Adjust parameters (e.g., method, number of components) as needed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3c7975f2-bb30-42e4-a63f-6bff7255b37b", + "metadata": {}, + "outputs": [], + "source": [ + "# Compute ICA for each participant with 15 components\n", + "icas = prep.ICA_fit([\n", + " epo1, epo2\n", + "],\n", + " n_components=15,\n", + " method='infomax',\n", + " fit_params=dict(extended=True),\n", + " random_state=42\n", + ")\n", + "\n", + "# Select the relevant independent components for artefact rejection\n", + "cleaned_epochs_ICA = prep.ICA_choice_comp(icas, [epo1, epo2])\n", + "print('ICA correction completed.')\n", + "\n", + "# Apply local AutoReject on the ICA-cleaned epochs\n", + "cleaned_epochs_AR, dic_AR = prep.AR_local(\n", + " cleaned_epochs_ICA,\n", + " strategy=\"union\",\n", + " threshold=50.0,\n", + " verbose=True\n", + ")\n", + "print('AutoReject completed.')\n", + "\n", + "# Assign cleaned epochs to individual participant variables\n", + "epo1_clean = cleaned_epochs_AR[0]\n", + "epo2_clean = cleaned_epochs_AR[1]\n", + "print('Preprocessed epochs for both participants are ready.')\n", + "\n", + "# Update dyad with cleaned data for subsequent analysis\n", + "dyad_clean = [epo1_clean.get_data(copy=True), epo2_clean.get_data(copy=True)]" + ] + }, + { + "cell_type": "markdown", + "id": "efb10235-1e49-45f6-b357-356e2ee6e356", + "metadata": {}, + "source": [ + "You can also use the mne-icalabel to automatically detect the not brain related components. Since this library depends on machine learning frameworks with complicated dependancies, we did not include it in the base requirements of HyPyP. If you want to test this automated approach of ICA annotation, just install it using ```pip install mne-icalabel``` and use the function below:" + ] + }, + { + "cell_type": "markdown", + "id": "16232ac1-979b-4a48-b685-0fd424f99393", + "metadata": {}, + "source": [ + "```python\n", + "from mne_icalabel import label_components\n", + "\n", + "def ICA_autocorrect(icas: list, epochs: list, verbose: bool = False) -> list:\n", + " \"\"\"\n", + " Automatically detect the ICA components that are not brain related and remove them.\n", + "\n", + " Arguments:\n", + " icas: list of Independent Components for each participant (IC are MNE\n", + " objects).\n", + " epochs: list of 2 Epochs objects (for each participant). Epochs_S1\n", + " and Epochs_S2 correspond to a condition and can result from the\n", + " concatenation of Epochs from different experimental realisations\n", + " of the condition.\n", + " Epochs are MNE objects: data are stored in an array of shape\n", + " (n_epochs, n_channels, n_times) and parameters information is\n", + " stored in a disctionnary.\n", + " verbose: option to plot data before and after ICA correction, \n", + " boolean, set to False by default. \n", + "\n", + " Returns:\n", + " cleaned_epochs_ICA: list of 2 cleaned Epochs for each participant\n", + " (the non-brain related IC have been removed from the signal).\n", + " \"\"\"\n", + "\n", + " cleaned_epochs_ICA = []\n", + " for ica, epoch in zip(icas, epochs):\n", + " ica_with_labels_fitted = label_components(epoch, ica, method=\"iclabel\")\n", + " ica_with_labels_component_detected = ica_with_labels_fitted[\"labels\"]\n", + " # Remove non-brain components (take only brain components for each subject)\n", + " excluded_idx_components = [idx for idx, label in enumerate(ica_with_labels_component_detected) if label not in [\"brain\"]]\n", + " cleaned_epoch_ICA = mne.Epochs.copy(epoch)\n", + " cleaned_epoch_ICA.info['bads'] = []\n", + " ica.apply(cleaned_epoch_ICA, exclude=excluded_idx_components)\n", + " cleaned_epoch_ICA.info['bads'] = copy.deepcopy(epoch.info['bads'])\n", + " cleaned_epochs_ICA.append(cleaned_epoch_ICA)\n", + "\n", + " if verbose:\n", + " epoch.plot(title='Before ICA correction', show=True)\n", + " cleaned_epoch_ICA.plot(title='After ICA correction',show=True)\n", + " return cleaned_epochs_ICA\n", + "\n", + "cleaned_epochs_ICA = ICA_autocorrect(icas, [epo1, epo2], verbose=True)\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "f7fe179a-5547-4bce-a673-69c684a8bf87", + "metadata": {}, + "source": [ + "## Saving Preprocessed Data\n", + "\n", + "After completing the preprocessing steps with ICA and AutoReject, we'll save the cleaned epochs to a pickle file. This allows us to reuse this preprocessed data in subsequent notebooks without repeating the time-consuming preprocessing steps." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "86979d8a-c727-46d5-8ab0-74c99184bba5", + "metadata": {}, + "outputs": [], + "source": [ + "# Create a dictionary with all the data we want to save\n", + "data_to_save = {\n", + " 'epo1_clean': epo1_clean,\n", + " 'epo2_clean': epo2_clean,\n", + "}\n", + "\n", + "# check if directory ./data./generated/ exists, if not create it\n", + "if not os.path.exists('./data/generated/'):\n", + " os.makedirs('./data/generated/')\n", + "\n", + "# Save the data to a pickle file\n", + "with open('./data/generated/hyperscanning_data.pkl', 'wb') as f:\n", + " pickle.dump(data_to_save, f)\n", + "\n", + "print(\"Data saved successfully to './data/hyperscanning_data.pkl'\")" + ] + }, + { + "cell_type": "markdown", + "id": "85efe31a-f9dc-4ef3-aaa1-21ea8d243974", + "metadata": {}, + "source": [ + "## Computing the Inter-Brain Synchrony (Circular Correlation)\n", + "\n", + "In this section, we compute a synchronization metric using the circular correlation coefficient (\"ccorr\") rather than PLV. The steps are as follows:\n", + "\n", + "1. **Determine Sampling Rate:** \n", + " We extract the sampling rate from one of the epochs.\n", + "\n", + "2. **Define Frequency Bands:** \n", + " We define two frequency bands as an OrderedDict. Here, we focus on the \"Alpha-Low\" band for further analysis.\n", + "\n", + "3. **Prepare Data:** \n", + " We combine the epochs from both participants into a single 4D array with shape *(2, n_epochs, n_channels, n_times)*.\n", + "\n", + "4. **Compute Analytic Signal:** \n", + " The function `compute_freq_bands` filters the data and applies the Hilbert transform for each frequency band.\n", + "\n", + "5. **Compute Connectivity:** \n", + " Using the `compute_sync` function with mode `'ccorr'`, we compute the inter-brain connectivity and then slice out the inter-brain connectivity matrix for the Alpha-Low band.\n", + "\n", + "6. **Normalization:** \n", + " Finally, we compute a Z-score normalized connectivity matrix." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd0c8f25-0376-4a10-9296-cfcf237727f2", + "metadata": {}, + "outputs": [], + "source": [ + "# Extract the sampling rate from the epoch (assumes both participants share the same sfreq)\n", + "sampling_rate = epo1.info['sfreq']\n", + "\n", + "# Define frequency bands as a dictionary (here two alpha sub-bands)\n", + "freq_bands = {\n", + " 'Alpha-Low': [7.5, 11],\n", + " 'Alpha-High': [11.5, 13]\n", + "}\n", + "# Convert to an OrderedDict to maintain the order\n", + "freq_bands = OrderedDict(freq_bands)\n", + "\n", + "# Prepare data for connectivity analysis by combining both participants' epochs.\n", + "# The resulting data_inter array will have shape: (2, n_epochs, n_channels, n_times)\n", + "dyad_clean = np.array([epo1_clean.get_data(copy = True), epo2_clean.get_data(copy = True)])\n", + "\n", + "# Compute the analytic signal in each frequency band using FIR filtering and Hilbert transform.\n", + "complex_signal = analyses.compute_freq_bands(\n", + " dyad_clean,\n", + " sampling_rate,\n", + " freq_bands,\n", + " filter_length=int(sampling_rate), # Adjust filter length based on sampling rate\n", + " l_trans_bandwidth=5.0, # Reduced transition bandwidth for sharper filtering\n", + " h_trans_bandwidth=5.0\n", + ")\n", + "\n", + "# Compute connectivity using the circular correlation ('ccorr') metric and average across epochs.\n", + "result = analyses.compute_sync(complex_signal, mode='ccorr', epochs_average=True)\n", + "\n", + "# Determine the number of channels per participant\n", + "n_ch = len(epo1_clean.info['ch_names'])\n", + "\n", + "# Slice the connectivity matrix to extract inter-brain connectivity.\n", + "# The matrix 'result' has shape (n_freq, 2*n_channels, 2*n_channels).\n", + "# We slice to get connectivity values between channels of participant 1 (first n_ch)\n", + "# and participant 2 (last n_ch) for each frequency band.\n", + "alpha_low, alpha_high = result[:, 0:n_ch, n_ch:2*n_ch]\n", + "\n", + "# For further analysis, choose the Alpha-Low band values.\n", + "values = alpha_low\n", + "\n", + "# Compute a Z-score normalized connectivity matrix for improved comparability.\n", + "C = (values - np.mean(values[:])) / np.std(values[:])" + ] + }, + { + "cell_type": "markdown", + "id": "db571218-40ab-4053-b2a0-5c590db04863", + "metadata": {}, + "source": [ + "## Visualizing the Results\n", + "\n", + "We now visualize the computed inter-brain connectivity using both 2D and 3D representations. \n", + "- The **2D topographic plot** helps identify regions with stronger inter-brain synchrony.\n", + "- The **3D visualization** provides a spatial representation of the connectivity.\n", + "\n", + "The functions `viz.viz_2D_topomap_inter` and `viz.viz_3D_inter` handle the visualization." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4635da92-b7da-4c36-99b1-515702cec4bf", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the 2D topographic map of the normalized connectivity matrix\n", + "viz.viz_2D_topomap_inter(epo1_clean, epo2_clean, C, threshold='auto', steps=10, lab=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dea11dcc-502d-4d91-9d8b-554ec8e51b0f", + "metadata": {}, + "outputs": [], + "source": [ + "# Plot the 3D visualization of the inter-brain connectivity\n", + "viz.viz_3D_inter(epo1_clean, epo2_clean, C, threshold='auto', steps=10, lab=False)\n", + "print('3D inter-brain connectivity visualization completed.')" + ] + }, + { + "cell_type": "markdown", + "id": "755de848-71e5-4320-b5ec-ffd6b8aaddbe", + "metadata": {}, + "source": [ + "## Conclusion\n", + "\n", + "In this notebook, we have:\n", + "- Loaded epoch data for two participants.\n", + "- Performed preprocessing using ICA and AutoReject to clean the data.\n", + "- Saved the preprocessed data to a pickle file for use in subsequent notebooks.\n", + "- Constructed a dyad by combining the data arrays.\n", + "- Computed a synchronization metric (circular correlation, \"ccorr\") to assess inter-brain synchrony across defined frequency bands.\n", + "- Visualized the resulting connectivity matrix using both 2D and 3D plots.\n", + "\n", + "This foundational analysis prepares us for further hyperscanning investigations using HyPyP. In upcoming notebooks, we will explore more advanced preprocessing techniques, compare different synchronization metrics, and implement detailed statistical analyses." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "practicalmeeg-workshop-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/.github/copilot-instructions.md b/ConnectivityMetricsTutorials-main/.github/copilot-instructions.md new file mode 100644 index 0000000..0037d1f --- /dev/null +++ b/ConnectivityMetricsTutorials-main/.github/copilot-instructions.md @@ -0,0 +1,100 @@ +# Copilot Instructions — Hyperscanning Workshop + +## Language +All code, comments, docstrings, and documentation must be written in English. + +## File Management +Never create, delete, or edit any file without explicit user consent. + +## Project Structure +- Notebooks: `01_foundations/` and `02_connectivity_metrics/`, by category (A, B, C...) +- Reusable functions: `src/` directory +- Naming: `A01_`, `A02_`, `B01_`, etc. +- Quick notebooks: `*_quick.ipynb` (import from src/ instead of inline definitions) + +## Git Workflow +- One branch per notebook: `feature/` +- Clear commit messages +- Merge to main after review + +## Dependencies +Managed with Poetry. Core: numpy, scipy, matplotlib, mne, hypyp. + +## Typed Python +- Complete type hints on all functions (params + return) +- Use `numpy.typing.NDArray` for arrays +- Use `typing` module (Optional, Union, Tuple, Callable) +- mypy strict compatible + +## Coding Standards +- PEP 8 compliant +- NumPy-style docstrings +- Functions over 20 lines go to `src/` +- No hardcoded values + +## Notebook Structure +- **Full notebooks**: See `docs/NOTEBOOK_TEMPLATE.md` +- **Quick notebooks**: See `docs/NOTEBOOK_QUICK_TEMPLATE.md` +- Structure: Introduction → Intuition → Implementation → Visualization → HyPyP comparison → Application → Summary → Discussion + +## Notebook Cell Order (CRITICAL) +For ALL notebooks (full and quick): +1. Cell 1 = Header (`# [ID]: Title` + Duration + Prerequisites + Learning Objectives) +2. Cell 2 = Table of Contents (`## Table of Contents` with `#section-X-...` anchors) +3. Cell 3 = Imports (Code cell with `# =====` style headers) +4. Cells 4+ = Sections +5. Last 3 cells = Summary, External Resources, Discussion Questions + +## Colors (CRITICAL) +- Always import: `from colors import COLORS` +- Use ONLY these keys: `signal_1`, `signal_2`, `signal_3`, `signal_4`, `signal_5`, `signal_6` +- For EEG bands: `delta`, `theta`, `alpha`, `beta`, `gamma` +- NEVER use: `primary`, `secondary`, `accent1`, `accent2` (these keys DO NOT EXIST) + +## NotebookLM Resources (CRITICAL) +In External Resources section, use this EXACT format: +```markdown +### 🎧 NotebookLM Resources + +- [📺 Video Overview](URL) - Video overview of [topic] concepts +- [📝 Quiz](URL) - Test your understanding +- [🗂️ Flashcards](URL) - Review key concepts +``` +- ALWAYS say "Video" — NEVER say "Audio" +- The 📺 emoji is for VIDEO, not audio +- Description must start with "Video overview of..." + +## Exercises Format (CRITICAL) +Use this EXACT format for exercises: +```markdown +--- + + +## N. Exercises + +### 🎯 Exercise 1: Title + +**Task:** Description of what to do. + +- Bullet point instructions +- More instructions + +\`\`\`python +# Your code here +\`\`\` + +
+💡 Click to reveal solution + +\`\`\`python +# Solution code +\`\`\` + +
+``` +- Always include 🎯 emoji before exercise title +- Always use `
` for solutions +- Always include `` anchor before section title + +## Visualization +Follow STYLE_GUIDE.md for colors, dimensions, fonts. \ No newline at end of file diff --git a/ConnectivityMetricsTutorials-main/.gitignore b/ConnectivityMetricsTutorials-main/.gitignore new file mode 100644 index 0000000..ea2aa3d --- /dev/null +++ b/ConnectivityMetricsTutorials-main/.gitignore @@ -0,0 +1,42 @@ +# Python +__pycache__/ +*.py[cod] +*.pyo +.mypy_cache/ +.ruff_cache/ + +# Jupyter +.ipynb_checkpoints/ +*.ipynb_checkpoints + +# Environment +.venv/ +.env +*.egg-info/ + +# IDE +.vscode/ +.idea/ + +# OS +.DS_Store +Thumbs.db + +# Data (large files) +data/raw/ +data/processed/ +*.fif +*.edf +*.bdf + +# Outputs +outputs/ +figures/ +*.png +*.pdf + +# Documentation (internal) +docs/ + +# Poetry +poetry.lock \ No newline at end of file diff --git a/ConnectivityMetricsTutorials-main/.pre-commit-config.yaml b/ConnectivityMetricsTutorials-main/.pre-commit-config.yaml new file mode 100644 index 0000000..3e27da6 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/.pre-commit-config.yaml @@ -0,0 +1,25 @@ +repos: + - repo: https://github.com/astral-sh/ruff-pre-commit + rev: v0.4.4 + hooks: + - id: ruff + args: [--fix] + - id: ruff-format + + - repo: https://github.com/pre-commit/mirrors-mypy + rev: v1.10.0 + hooks: + - id: mypy + additional_dependencies: + - numpy + - types-setuptools + args: [--ignore-missing-imports] + + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.6.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-yaml + - id: check-added-large-files + args: [--maxkb=1000] \ No newline at end of file diff --git a/ConnectivityMetricsTutorials-main/LICENSE b/ConnectivityMetricsTutorials-main/LICENSE new file mode 100644 index 0000000..d8c8cbe --- /dev/null +++ b/ConnectivityMetricsTutorials-main/LICENSE @@ -0,0 +1,12 @@ +Creative Commons Attribution 4.0 International License + +Copyright (c) 2025 Social Neuro AI Lab + +You are free to: +- Share: copy and redistribute the material in any medium or format +- Adapt: remix, transform, and build upon the material for any purpose, even commercially + +Under the following terms: +- Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. + +Full license text: https://creativecommons.org/licenses/by/4.0/legalcode \ No newline at end of file diff --git a/ConnectivityMetricsTutorials-main/README.md b/ConnectivityMetricsTutorials-main/README.md new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/README.md @@ -0,0 +1 @@ + diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A01_signals_and_sampling.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A01_signals_and_sampling.ipynb new file mode 100644 index 0000000..45cbcec --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A01_signals_and_sampling.ipynb @@ -0,0 +1,1417 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2444a81b", + "metadata": {}, + "source": [ + "# A01: Signals and Sampling\n", + "\n", + "**Duration**: ~60 minutes \n", + "**Prerequisites**: Basic Python, NumPy fundamentals\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "- Understand the difference between continuous and discrete signals\n", + "- Apply the Nyquist-Shannon sampling theorem to determine appropriate sampling rates\n", + "- Predict aliasing artifacts when signals are undersampled\n", + "- Generate synthetic signals (sine waves, noise, composites) for testing analysis methods\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "1066cc02", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Continuous vs Discrete Signals](#section-2-continuous-vs-discrete-signals)\n", + "3. [Sampling Rate and Temporal Resolution](#section-3-sampling-rate-and-temporal-resolution)\n", + "4. [The Nyquist-Shannon Theorem](#section-4-the-nyquist-shannon-theorem)\n", + "5. [Aliasing: When Sampling Goes Wrong](#section-5-aliasing-when-sampling-goes-wrong)\n", + "6. [Building Block Functions](#section-6-building-block-functions)\n", + "7. [Practical Considerations for EEG](#section-7-practical-considerations-for-eeg)\n", + "8. [Exercises](#section-8-hands-on-exercises)\n", + "9. [Summary](#summary)\n", + "10. [External Resources](#external-resources)\n", + "11. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "55f7b7aa", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Optional\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parents[2]\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from src.colors import COLORS\n", + "from src.plotting import configure_plots\n", + "\n", + "# Apply plot configuration\n", + "configure_plots()" + ] + }, + { + "cell_type": "markdown", + "id": "a1fbb01d", + "metadata": {}, + "source": [ + "## Section 1: Introduction\n", + "\n", + "Electroencephalography (EEG) measures the electrical activity of the brain as it unfolds continuously in time. The voltage fluctuations at each electrode reflect the summed activity of thousands of neurons, creating complex waveforms that carry information about cognitive processes, emotional states, and neural communication.\n", + "\n", + "However, computers cannot store continuous signals. Instead, they capture discrete samples at regular intervals, converting the smooth, continuous reality into a sequence of numbers. This process of **sampling** is fundamental to all digital signal processing, and understanding it is essential for proper EEG analysis.\n", + "\n", + "The quality of our analysis depends critically on how well these discrete samples represent the original continuous signal. Sample too slowly, and we lose important information. Sample too quickly, and we waste storage and computational resources. Finding the right balance requires understanding the relationship between sampling rate and the frequencies present in our signal.\n", + "\n", + "Typical EEG systems sample at rates between 256 Hz and 1024 Hz. By the end of this notebook, you will understand why these values are chosen and what happens when sampling goes wrong." + ] + }, + { + "cell_type": "markdown", + "id": "6d09816b", + "metadata": {}, + "source": [ + "## Section 2: Continuous vs Discrete Signals\n", + "\n", + "A **continuous signal** is a mathematical idealization: a function defined at every point in time. If we could measure brain activity with infinite precision, we would obtain such a continuous signal, with a voltage value for every instant, no matter how small the time interval.\n", + "\n", + "A **discrete signal**, in contrast, consists of values only at specific, regularly-spaced time points. This is what our computers actually store: a sequence of numbers, each representing the signal's value at one particular moment.\n", + "\n", + "**Sampling** is the process of converting a continuous signal into a discrete one. We measure the signal at regular intervals, determined by the **sampling interval** $\\Delta t$ (the time between consecutive samples). The **sampling rate** (or sampling frequency) $f_s$ is the number of samples per second:\n", + "\n", + "$$f_s = \\frac{1}{\\Delta t}$$\n", + "\n", + "For example, a sampling rate of 256 Hz means we take 256 measurements every second, with a sampling interval of approximately 3.9 milliseconds." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e183a50f", + "metadata": {}, + "outputs": [], + "source": [ + "# [QUICK_VERSION: from src.signals import generate_time_vector]\n", + "\n", + "def generate_time_vector(\n", + " duration: float,\n", + " fs: float,\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Generate a time vector for signal creation.\n", + "\n", + " Parameters\n", + " ----------\n", + " duration : float\n", + " Duration of the time vector in seconds.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + "\n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Time vector from 0 to duration (exclusive) with spacing 1/fs.\n", + " \"\"\"\n", + " return np.arange(0, duration, 1 / fs)" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "28c3c70e", + "metadata": {}, + "outputs": [], + "source": [ + "# [QUICK_VERSION: from src.signals import generate_sine_wave]\n", + "\n", + "def generate_sine_wave(\n", + " t: NDArray[np.float64],\n", + " frequency: float,\n", + " amplitude: float = 1.0,\n", + " phase: float = 0.0,\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Generate a sine wave signal.\n", + "\n", + " Parameters\n", + " ----------\n", + " t : NDArray[np.float64]\n", + " Time vector in seconds.\n", + " frequency : float\n", + " Frequency of the sine wave in Hz.\n", + " amplitude : float, optional\n", + " Peak amplitude of the sine wave. Default is 1.0.\n", + " phase : float, optional\n", + " Phase offset in radians. Default is 0.0.\n", + "\n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Sine wave signal values.\n", + " \"\"\"\n", + " return amplitude * np.sin(2 * np.pi * frequency * t + phase)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "5573b476", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 1: Continuous vs Discrete Signal\n", + "# We simulate a \"continuous\" signal using a very high sampling rate\n", + "\n", + "duration = 1.0 # seconds\n", + "frequency = 3.0 # Hz\n", + "\n", + "# \"Continuous\" signal (high sampling rate for smooth appearance)\n", + "fs_continuous = 1000 # Hz\n", + "t_continuous = generate_time_vector(duration, fs_continuous)\n", + "signal_continuous = generate_sine_wave(t_continuous, frequency)\n", + "\n", + "# Discrete samples at different densities\n", + "fs_high = 50 # Hz - many samples\n", + "fs_low = 10 # Hz - few samples\n", + "\n", + "t_high = generate_time_vector(duration, fs_high)\n", + "t_low = generate_time_vector(duration, fs_low)\n", + "\n", + "signal_high = generate_sine_wave(t_high, frequency)\n", + "signal_low = generate_sine_wave(t_low, frequency)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 8), dpi=150)\n", + "\n", + "# Top: High sampling rate\n", + "axes[0].plot(t_continuous, signal_continuous, color=COLORS[\"signal_1\"], \n", + " linewidth=1.5, label=\"Continuous signal\")\n", + "axes[0].scatter(t_high, signal_high, color=COLORS[\"signal_2\"], s=50, \n", + " zorder=5, label=f\"Discrete samples (fs={fs_high} Hz)\")\n", + "axes[0].set_xlabel(\"Time (s)\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"High Sampling Density: Signal Well Captured\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom: Low sampling rate\n", + "axes[1].plot(t_continuous, signal_continuous, color=COLORS[\"signal_1\"], \n", + " linewidth=1.5, label=\"Continuous signal\")\n", + "axes[1].scatter(t_low, signal_low, color=COLORS[\"signal_2\"], s=50, \n", + " zorder=5, label=f\"Discrete samples (fs={fs_low} Hz)\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Low Sampling Density: Fewer Points to Represent the Wave\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d3063f6a", + "metadata": {}, + "source": [ + "The figure above illustrates the sampling process. The smooth blue curve represents our idealized continuous signal, while the pink dots show the discrete samples that would be stored by a digital system.\n", + "\n", + "Notice how with more samples (top panel), the discrete points trace out the wave shape quite accurately. With fewer samples (bottom panel), we still capture the general oscillation, but with less detail. The question becomes: how few samples can we use while still accurately representing the signal?" + ] + }, + { + "cell_type": "markdown", + "id": "1c97f7c2", + "metadata": {}, + "source": [ + "## Section 3: Sampling Rate and Temporal Resolution\n", + "\n", + "The sampling rate directly determines two important properties of our digital signal:\n", + "\n", + "1. **Temporal resolution**: Higher sampling rates capture finer temporal details. At 1000 Hz, we can distinguish events 1 ms apart; at 100 Hz, our resolution drops to 10 ms.\n", + "\n", + "2. **Frequency representation**: The sampling rate limits the highest frequency we can accurately represent. This is the crucial insight that leads to the Nyquist theorem.\n", + "\n", + "For EEG analysis, we care about neural oscillations in specific frequency bands:\n", + "- Delta (1-4 Hz): deep sleep\n", + "- Theta (4-8 Hz): memory, navigation\n", + "- Alpha (8-13 Hz): relaxed wakefulness\n", + "- Beta (13-30 Hz): active thinking\n", + "- Gamma (30-100+ Hz): perception, consciousness\n", + "\n", + "Since the highest frequency of typical interest is around 100 Hz (gamma), a sampling rate of 256 Hz is often sufficient for most EEG research. But why exactly 256? The answer lies in the Nyquist theorem." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "1e8bcbc0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 2: Same signal at different sampling rates\n", + "\n", + "duration = 0.5 # seconds\n", + "frequency = 10.0 # Hz\n", + "\n", + "# Reference \"continuous\" signal\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_ref = generate_sine_wave(t_ref, frequency)\n", + "\n", + "# Three different sampling rates\n", + "sampling_rates = [1000, 100, 25]\n", + "titles = [\n", + " f\"fs = 1000 Hz (100 samples/cycle)\",\n", + " f\"fs = 100 Hz (10 samples/cycle)\",\n", + " f\"fs = 25 Hz (2.5 samples/cycle)\",\n", + "]\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 10), dpi=150)\n", + "\n", + "for ax, fs, title in zip(axes, sampling_rates, titles):\n", + " t = generate_time_vector(duration, fs)\n", + " signal = generate_sine_wave(t, frequency)\n", + " \n", + " # Plot reference\n", + " ax.plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], linewidth=1, \n", + " alpha=0.5, label=\"Original\")\n", + " # Plot sampled version\n", + " ax.plot(t, signal, color=COLORS[\"signal_2\"], linewidth=2, \n", + " marker=\"o\", markersize=4, label=f\"Sampled (fs={fs} Hz)\")\n", + " \n", + " ax.set_xlabel(\"Time (s)\")\n", + " ax.set_ylabel(\"Amplitude\")\n", + " ax.set_title(title)\n", + " ax.legend(loc=\"upper right\")\n", + " ax.grid(True, alpha=0.3)\n", + " ax.set_xlim(0, duration)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "ec612454", + "metadata": {}, + "source": [ + "The visualization shows a 10 Hz sine wave sampled at three different rates. At 1000 Hz, we have 100 samples per cycle, and the reconstruction is nearly perfect. At 100 Hz, we have 10 samples per cycle, which still captures the waveform well. At 25 Hz, we have only 2.5 samples per cycle, and while we can still see oscillation, the shape is becoming distorted.\n", + "\n", + "This brings us to a fundamental question: what is the minimum sampling rate needed to accurately capture a signal of a given frequency?" + ] + }, + { + "cell_type": "markdown", + "id": "5eeebcaf", + "metadata": {}, + "source": [ + "## Section 4: The Nyquist Theorem\n", + "\n", + "The **Nyquist-Shannon sampling theorem** provides the answer to our question. It states:\n", + "\n", + "> To accurately represent a signal containing frequency $f$, we must sample at a rate $f_s > 2f$.\n", + "\n", + "The frequency $f_N = f_s / 2$ is called the **Nyquist frequency**. It represents the highest frequency that can be accurately captured at a given sampling rate.\n", + "\n", + "The intuition is straightforward: to capture an oscillation, we need at least two samples per cycle, one near the peak and one near the trough. With fewer than two samples per cycle, we cannot distinguish the oscillation from slower waves or even from a constant signal.\n", + "\n", + "**Examples**:\n", + "- At $f_s$ = 256 Hz, the Nyquist frequency is 128 Hz. We can accurately capture any frequency up to 128 Hz.\n", + "- To capture gamma oscillations at 80 Hz, we need $f_s$ > 160 Hz.\n", + "- A 10 Hz alpha wave requires $f_s$ > 20 Hz at minimum." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "db47c9e4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 3: Nyquist theorem demonstration\n", + "\n", + "duration = 1.0\n", + "frequency = 10.0 # Hz - our target signal\n", + "\n", + "# Reference signal\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_ref = generate_sine_wave(t_ref, frequency)\n", + "\n", + "# Three sampling scenarios\n", + "scenarios = [\n", + " (100, \"Good: fs=100 Hz > 2×10 Hz\", COLORS[\"signal_1\"]),\n", + " (25, \"Borderline: fs=25 Hz = 2.5×10 Hz\", COLORS[\"signal_4\"]),\n", + " (15, \"Bad: fs=15 Hz < 2×10 Hz\", COLORS[\"signal_2\"]),\n", + "]\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 10), dpi=150)\n", + "\n", + "for ax, (fs, title, color) in zip(axes, scenarios):\n", + " t = generate_time_vector(duration, fs)\n", + " signal = generate_sine_wave(t, frequency)\n", + " \n", + " # Reference\n", + " ax.plot(t_ref, signal_ref, color=\"gray\", linewidth=1, alpha=0.5, \n", + " label=\"Original 10 Hz\")\n", + " # Samples and reconstruction\n", + " ax.scatter(t, signal, color=color, s=60, zorder=5)\n", + " ax.plot(t, signal, color=color, linewidth=2, linestyle=\"--\", \n", + " label=f\"Sampled at {fs} Hz\")\n", + " \n", + " ax.set_xlabel(\"Time (s)\")\n", + " ax.set_ylabel(\"Amplitude\")\n", + " ax.set_title(title)\n", + " ax.legend(loc=\"upper right\")\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "87a50915", + "metadata": {}, + "source": [ + "The top panel shows adequate sampling: 100 Hz gives us 10 samples per cycle of our 10 Hz signal. The middle panel shows borderline sampling: 25 Hz gives 2.5 samples per cycle, which is just above the Nyquist limit. The bottom panel shows inadequate sampling: 15 Hz gives only 1.5 samples per cycle, violating the Nyquist theorem.\n", + "\n", + "Notice how in the bottom panel, the samples no longer trace out the original 10 Hz wave. Instead, they suggest a different, slower oscillation. This phenomenon is called **aliasing**." + ] + }, + { + "cell_type": "markdown", + "id": "178ad08e", + "metadata": {}, + "source": [ + "### [Optional Deep Dive] Mathematical Basis\n", + "\n", + "The Nyquist-Shannon sampling theorem has a rigorous mathematical foundation. In its complete form, it states that a band-limited signal (one containing no frequencies above some maximum $f_{max}$) can be perfectly reconstructed from its samples if:\n", + "\n", + "$$f_s > 2 f_{max}$$\n", + "\n", + "The reconstruction is achieved through **sinc interpolation**:\n", + "\n", + "$$x(t) = \\sum_{n=-\\infty}^{\\infty} x[n] \\cdot \\text{sinc}\\left(\\frac{t - nT_s}{T_s}\\right)$$\n", + "\n", + "where $T_s = 1/f_s$ is the sampling period and $\\text{sinc}(x) = \\sin(\\pi x)/(\\pi x)$.\n", + "\n", + "This theorem tells us that no information is lost when we sample at more than twice the highest frequency, and the original continuous signal can be perfectly recovered. In practice, we cannot achieve perfect reconstruction due to finite signal duration and numerical precision, but the theorem guides our choice of sampling rate." + ] + }, + { + "cell_type": "markdown", + "id": "32bb9025", + "metadata": {}, + "source": [ + "## Section 5: Aliasing\n", + "\n", + "When the Nyquist theorem is violated (when we sample a frequency $f$ at a rate $f_s < 2f$), something remarkable and dangerous happens: the high frequency appears as a lower frequency in our sampled data. This phenomenon is called **aliasing**.\n", + "\n", + "The aliased frequency can be computed as:\n", + "\n", + "$$f_{aliased} = |f - k \\cdot f_s|$$\n", + "\n", + "where $k$ is the integer that makes $f_{aliased}$ fall below the Nyquist frequency.\n", + "\n", + "For example, a 40 Hz signal sampled at 50 Hz will appear as:\n", + "$$f_{aliased} = |40 - 1 \\times 50| = 10 \\text{ Hz}$$\n", + "\n", + "This is dangerous because the aliased signal is indistinguishable from a true 10 Hz signal. We have no way of knowing, from the sampled data alone, whether we are looking at a real 10 Hz oscillation or an aliased 40 Hz artifact." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "acf75700", + "metadata": {}, + "outputs": [], + "source": [ + "# [QUICK_VERSION: from src.signals import compute_aliased_frequency]\n", + "\n", + "def compute_aliased_frequency(\n", + " true_freq: float,\n", + " fs: float,\n", + ") -> float:\n", + " \"\"\"\n", + " Compute the aliased frequency when sampling violates Nyquist.\n", + "\n", + " Parameters\n", + " ----------\n", + " true_freq : float\n", + " The true frequency of the signal in Hz.\n", + " fs : float\n", + " The sampling frequency in Hz.\n", + "\n", + " Returns\n", + " -------\n", + " float\n", + " The frequency that will appear in the sampled signal.\n", + " \"\"\"\n", + " nyquist = fs / 2\n", + " # Fold the frequency back into the Nyquist range\n", + " aliased = true_freq % fs\n", + " if aliased > nyquist:\n", + " aliased = fs - aliased\n", + " return aliased" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "3573a632", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Aliasing examples:\n", + "--------------------------------------------------\n", + " 40 Hz sampled at 50 Hz -> 10.0 Hz\n", + " 60 Hz sampled at 50 Hz -> 10.0 Hz\n", + " 90 Hz sampled at 100 Hz -> 10.0 Hz\n", + " 10 Hz sampled at 100 Hz -> 10.0 Hz\n" + ] + } + ], + "source": [ + "# Test the aliasing function\n", + "test_cases = [\n", + " (40, 50, 10), # 40 Hz sampled at 50 Hz -> 10 Hz\n", + " (60, 50, 10), # 60 Hz sampled at 50 Hz -> 10 Hz\n", + " (90, 100, 10), # 90 Hz sampled at 100 Hz -> 10 Hz\n", + " (10, 100, 10), # 10 Hz sampled at 100 Hz -> 10 Hz (no aliasing)\n", + "]\n", + "\n", + "print(\"Aliasing examples:\")\n", + "print(\"-\" * 50)\n", + "for true_f, fs, expected in test_cases:\n", + " aliased = compute_aliased_frequency(true_f, fs)\n", + " print(f\"{true_f:3.0f} Hz sampled at {fs:3.0f} Hz -> {aliased:5.1f} Hz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d3c67964", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 4: Aliasing example\n", + "\n", + "duration = 0.5\n", + "true_frequency = 40.0 # Hz\n", + "fs_low = 50.0 # Hz - below Nyquist for 40 Hz\n", + "aliased_frequency = compute_aliased_frequency(true_frequency, fs_low)\n", + "\n", + "# High-resolution reference signals\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_true = generate_sine_wave(t_ref, true_frequency)\n", + "signal_aliased_ref = generate_sine_wave(t_ref, aliased_frequency)\n", + "\n", + "# Sampled signal\n", + "t_sampled = generate_time_vector(duration, fs_low)\n", + "signal_sampled = generate_sine_wave(t_sampled, true_frequency)\n", + "\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 8), dpi=150)\n", + "\n", + "# Top: Original signal and samples\n", + "axes[0].plot(t_ref, signal_true, color=COLORS[\"signal_1\"], linewidth=1.5, \n", + " label=f\"True signal ({true_frequency:.0f} Hz)\")\n", + "axes[0].scatter(t_sampled, signal_sampled, color=COLORS[\"signal_2\"], s=80, \n", + " zorder=5, label=f\"Samples (fs={fs_low:.0f} Hz)\")\n", + "axes[0].set_xlabel(\"Time (s)\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(f\"Sampling a {true_frequency:.0f} Hz Signal at {fs_low:.0f} Hz\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom: Aliased interpretation\n", + "axes[1].plot(t_ref, signal_aliased_ref, color=COLORS[\"signal_3\"], linewidth=1.5, \n", + " label=f\"Aliased frequency ({aliased_frequency:.0f} Hz)\")\n", + "axes[1].scatter(t_sampled, signal_sampled, color=COLORS[\"signal_2\"], s=80, \n", + " zorder=5, label=\"Same samples\")\n", + "axes[1].plot(t_sampled, signal_sampled, color=COLORS[\"signal_2\"], linewidth=1, \n", + " linestyle=\"--\", alpha=0.5)\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(f\"The Samples Appear to Follow a {aliased_frequency:.0f} Hz Wave\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "146baa27", + "metadata": {}, + "source": [ + "The top panel shows a true 40 Hz signal being sampled at only 50 Hz. The bottom panel reveals the problem: those same sample points fall perfectly on a 10 Hz sine wave. From the sampled data alone, we cannot distinguish between these two possibilities. The 40 Hz signal has been \"aliased\" to 10 Hz." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "2847b1fa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 5: Aliasing zones\n", + "\n", + "fs = 100 # Hz\n", + "nyquist = fs / 2\n", + "\n", + "# Compute aliased frequencies for a range of true frequencies\n", + "true_frequencies = np.linspace(0, 200, 1000)\n", + "aliased_frequencies = np.array([compute_aliased_frequency(f, fs) for f in true_frequencies])\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6), dpi=150)\n", + "\n", + "# Plot aliased frequency vs true frequency\n", + "ax.plot(true_frequencies, aliased_frequencies, color=COLORS[\"signal_1\"], linewidth=2)\n", + "\n", + "# Mark Nyquist frequency\n", + "ax.axvline(x=nyquist, color=COLORS[\"signal_2\"], linestyle=\"--\", linewidth=1.5, \n", + " label=f\"Nyquist frequency ({nyquist:.0f} Hz)\")\n", + "ax.axvline(x=fs, color=COLORS[\"signal_4\"], linestyle=\":\", linewidth=1.5, \n", + " label=f\"Sampling frequency ({fs:.0f} Hz)\")\n", + "ax.axvline(x=fs + nyquist, color=COLORS[\"signal_2\"], linestyle=\"--\", linewidth=1.5, alpha=0.5)\n", + "\n", + "# Shade aliasing zones\n", + "ax.axvspan(0, nyquist, alpha=0.1, color=COLORS[\"signal_3\"], label=\"No aliasing zone\")\n", + "ax.axvspan(nyquist, fs, alpha=0.1, color=COLORS[\"signal_2\"], label=\"Aliasing zone\")\n", + "\n", + "ax.set_xlabel(\"True Frequency (Hz)\")\n", + "ax.set_ylabel(\"Apparent Frequency After Sampling (Hz)\")\n", + "ax.set_title(f\"Aliasing Pattern for fs = {fs} Hz\")\n", + "ax.legend(loc=\"upper right\")\n", + "ax.grid(True, alpha=0.3)\n", + "ax.set_xlim(0, 200)\n", + "ax.set_ylim(0, nyquist + 5)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "206e9c75", + "metadata": {}, + "source": [ + "This figure shows how frequencies \"fold\" back when they exceed the Nyquist limit. Within the green zone (0 to 50 Hz), frequencies appear as themselves. Above the Nyquist frequency, they fold back: 60 Hz appears as 40 Hz, 70 Hz as 30 Hz, and so on. The pattern repeats at multiples of the sampling frequency.\n", + "\n", + "This sawtooth pattern is why aliasing is sometimes called \"frequency folding\". Any frequency above Nyquist gets folded back into the representable range, masquerading as a lower frequency." + ] + }, + { + "cell_type": "markdown", + "id": "65937ced", + "metadata": {}, + "source": [ + "## Section 6: Creating Synthetic Signals\n", + "\n", + "Throughout this workshop, we will use synthetic signals to test our algorithms and build intuition. Synthetic signals have known properties, making them ideal for validating our implementations before applying them to real EEG data.\n", + "\n", + "We will build a toolkit of signal generators:\n", + "- **Sine waves**: Pure oscillations at specific frequencies\n", + "- **White noise**: Random fluctuations with equal power at all frequencies\n", + "- **Pink noise**: Random fluctuations with more power at low frequencies (1/f spectrum), resembling real EEG\n", + "- **Composite signals**: Combinations of the above" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "e463222b", + "metadata": {}, + "outputs": [], + "source": [ + "# [QUICK_VERSION: from src.signals import generate_white_noise]\n", + "\n", + "def generate_white_noise(\n", + " n_samples: int,\n", + " amplitude: float = 1.0,\n", + " seed: Optional[int] = None,\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Generate white noise signal.\n", + "\n", + " White noise has equal power at all frequencies, resulting in\n", + " a flat power spectrum.\n", + "\n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples to generate.\n", + " amplitude : float, optional\n", + " Standard deviation of the noise. Default is 1.0.\n", + " seed : int, optional\n", + " Random seed for reproducibility. Default is None.\n", + "\n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " White noise signal.\n", + " \"\"\"\n", + " rng = np.random.default_rng(seed)\n", + " return amplitude * rng.standard_normal(n_samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "9b5c49e1", + "metadata": {}, + "outputs": [], + "source": [ + "# [QUICK_VERSION: from src.signals import generate_pink_noise]\n", + "\n", + "def generate_pink_noise(\n", + " n_samples: int,\n", + " amplitude: float = 1.0,\n", + " seed: Optional[int] = None,\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Generate pink (1/f) noise signal.\n", + "\n", + " Pink noise has a power spectrum that decreases with frequency,\n", + " with power proportional to 1/f. This is more representative of\n", + " real EEG signals than white noise.\n", + "\n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples to generate.\n", + " amplitude : float, optional\n", + " Scaling factor for the noise amplitude. Default is 1.0.\n", + " seed : int, optional\n", + " Random seed for reproducibility. Default is None.\n", + "\n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Pink noise signal.\n", + " \"\"\"\n", + " rng = np.random.default_rng(seed)\n", + " \n", + " # Generate white noise in frequency domain\n", + " white = rng.standard_normal(n_samples)\n", + " \n", + " # Compute FFT\n", + " fft_white = np.fft.rfft(white)\n", + " \n", + " # Create 1/f filter (avoiding division by zero)\n", + " frequencies = np.fft.rfftfreq(n_samples)\n", + " frequencies[0] = 1 # Avoid division by zero\n", + " pink_filter = 1 / np.sqrt(frequencies)\n", + " pink_filter[0] = 0 # Remove DC component\n", + " \n", + " # Apply filter and inverse FFT\n", + " fft_pink = fft_white * pink_filter\n", + " pink = np.fft.irfft(fft_pink, n=n_samples)\n", + " \n", + " # Normalize and scale\n", + " pink = amplitude * pink / np.std(pink)\n", + " \n", + " return pink" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "034ace72", + "metadata": {}, + "outputs": [], + "source": [ + "# [QUICK_VERSION: from src.signals import generate_composite_signal]\n", + "\n", + "def generate_composite_signal(\n", + " t: NDArray[np.float64],\n", + " frequencies: list[float],\n", + " amplitudes: list[float],\n", + " phases: Optional[list[float]] = None,\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Generate a composite signal as a sum of sine waves.\n", + "\n", + " Parameters\n", + " ----------\n", + " t : NDArray[np.float64]\n", + " Time vector in seconds.\n", + " frequencies : list[float]\n", + " List of frequencies in Hz for each component.\n", + " amplitudes : list[float]\n", + " List of amplitudes for each component.\n", + " phases : list[float], optional\n", + " List of phase offsets in radians. Default is all zeros.\n", + "\n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Composite signal.\n", + " \"\"\"\n", + " if phases is None:\n", + " phases = [0.0] * len(frequencies)\n", + " \n", + " if len(frequencies) != len(amplitudes) or len(frequencies) != len(phases):\n", + " raise ValueError(\"frequencies, amplitudes, and phases must have the same length\")\n", + " \n", + " signal = np.zeros_like(t)\n", + " for freq, amp, phase in zip(frequencies, amplitudes, phases):\n", + " signal += generate_sine_wave(t, freq, amp, phase)\n", + " \n", + " return signal" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f750bb49", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 6: Signal types\n", + "\n", + "duration = 2.0\n", + "fs = 500 # Hz\n", + "t = generate_time_vector(duration, fs)\n", + "n_samples = len(t)\n", + "\n", + "# Generate different signal types\n", + "sine_signal = generate_sine_wave(t, frequency=10, amplitude=1.0)\n", + "white_signal = generate_white_noise(n_samples, amplitude=1.0, seed=42)\n", + "pink_signal = generate_pink_noise(n_samples, amplitude=1.0, seed=42)\n", + "composite_signal = generate_composite_signal(\n", + " t, \n", + " frequencies=[3, 10, 25], \n", + " amplitudes=[0.5, 1.0, 0.3]\n", + ")\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 10), dpi=150)\n", + "\n", + "signals = [\n", + " (sine_signal, \"Sine Wave (10 Hz)\", COLORS[\"signal_1\"]),\n", + " (white_signal, \"White Noise\", COLORS[\"signal_2\"]),\n", + " (pink_signal, \"Pink Noise (1/f)\", COLORS[\"signal_3\"]),\n", + " (composite_signal, \"Composite (3 + 10 + 25 Hz)\", COLORS[\"signal_4\"]),\n", + "]\n", + "\n", + "for ax, (signal, title, color) in zip(axes.flat, signals):\n", + " # Only show first 0.5 seconds for clarity\n", + " mask = t <= 0.5\n", + " ax.plot(t[mask], signal[mask], color=color, linewidth=1)\n", + " ax.set_xlabel(\"Time (s)\")\n", + " ax.set_ylabel(\"Amplitude\")\n", + " ax.set_title(title)\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4a9c52cb", + "metadata": {}, + "source": [ + "The four panels show our building blocks:\n", + "- **Sine wave**: A pure oscillation at a single frequency\n", + "- **White noise**: Random fluctuations that look \"spiky\" because all frequencies contribute equally\n", + "- **Pink noise**: Smoother random fluctuations dominated by low frequencies, more similar to real EEG\n", + "- **Composite signal**: Multiple frequencies combined, showing the complex waveforms we see in real data\n", + "\n", + "These functions will be used throughout the workshop to create test signals with known properties." + ] + }, + { + "cell_type": "markdown", + "id": "6ea11b89", + "metadata": {}, + "source": [ + "## Section 7: Practical Considerations for EEG\n", + "\n", + "Now that we understand the theory, let us consider how it applies to real EEG recording.\n", + "\n", + "### Anti-Aliasing Filters\n", + "\n", + "EEG amplifiers include **anti-aliasing filters** (low-pass filters) that remove high frequencies before digitization. If the system samples at 256 Hz, a hardware filter removes frequencies above ~100 Hz before sampling. This prevents muscle artifacts and electrical noise from aliasing into the EEG frequency range.\n", + "\n", + "### Oversampling\n", + "\n", + "Many modern systems deliberately **oversample**, recording at higher rates than strictly necessary. This provides:\n", + "- Better anti-aliasing filter performance\n", + "- Flexibility to downsample later\n", + "- Cleaner high-frequency content (gamma band)\n", + "\n", + "### Downsampling\n", + "\n", + "If you only need frequencies below 50 Hz, you can **downsample** from 1024 Hz to 256 Hz. This reduces file size and speeds up analysis. However, you must apply a low-pass filter before downsampling to prevent aliasing.\n", + "\n", + "### Common EEG Sampling Rates\n", + "\n", + "| System Type | Typical fs | Nyquist | Usable Range |\n", + "|-------------|-----------|---------|---------------|\n", + "| Clinical | 256 Hz | 128 Hz | < 100 Hz |\n", + "| Research | 512 Hz | 256 Hz | < 200 Hz |\n", + "| High-density | 1024 Hz | 512 Hz | < 400 Hz |" + ] + }, + { + "cell_type": "markdown", + "id": "9a4932b6", + "metadata": {}, + "source": [ + "## Section 8: Hands-On Exercises\n", + "\n", + "Let us practice what we have learned." + ] + }, + { + "cell_type": "markdown", + "id": "e0a782f0", + "metadata": {}, + "source": [ + "### 🎯 Exercise 1: Observing Aliasing 🟢\n", + "\n", + "**Objective**: Visualize aliasing by sampling a signal below and above its Nyquist rate.\n", + "\n", + "**Instructions**:\n", + "1. Create a 5 Hz sine wave with duration 2 seconds\n", + "2. Sample it at 100 Hz (adequate - above Nyquist)\n", + "3. Sample it at 8 Hz (inadequate - below Nyquist)\n", + "4. Compute the expected aliased frequency using `compute_aliased_frequency()`\n", + "5. Plot both versions and observe the difference\n", + "\n", + "**Expected output**: Two plots showing the original signal with proper sampling vs aliased sampling" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "996ad8d4", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 1: Observing Aliasing\n", + "# =============================================================================\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "true_frequency = 5.0 # Hz\n", + "fs_good = 100 # Hz\n", + "fs_bad = 8 # Hz\n", + "\n", + "# Your code here:\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "a4b01091", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Exercise 1: Observing Aliasing\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "true_frequency = 5.0 # Hz\n", + "fs_good = 100 # Hz\n", + "fs_bad = 8 # Hz\n", + "\n", + "# Generate high-resolution reference\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_ref = generate_sine_wave(t_ref, true_frequency)\n", + "\n", + "# Properly sampled version\n", + "t_good = generate_time_vector(duration, fs_good)\n", + "signal_good = generate_sine_wave(t_good, true_frequency)\n", + "\n", + "# Undersampled version\n", + "t_bad = generate_time_vector(duration, fs_bad)\n", + "signal_bad = generate_sine_wave(t_bad, true_frequency)\n", + "\n", + "# Compute aliased frequency\n", + "aliased_freq = compute_aliased_frequency(true_frequency, fs_bad)\n", + "print(f\"Original frequency: {true_frequency} Hz\")\n", + "print(f\"Sampling rate: {fs_bad} Hz\")\n", + "print(f\"Nyquist frequency: {fs_bad/2} Hz\")\n", + "print(f\"Aliased frequency: {aliased_freq} Hz\")\n", + "\n", + "# Visualization\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6), dpi=150)\n", + "\n", + "# Top: Proper sampling\n", + "axes[0].plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], alpha=0.5, \n", + " label=f\"True {true_frequency} Hz\")\n", + "axes[0].scatter(t_good, signal_good, color=COLORS[\"signal_2\"], s=30, \n", + " zorder=5, label=f\"Samples at {fs_good} Hz\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(f\"Adequate Sampling: fs={fs_good} Hz > 2×{true_frequency} Hz\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom: Undersampling with aliasing\n", + "axes[1].plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], alpha=0.3, \n", + " label=f\"True {true_frequency} Hz\")\n", + "axes[1].scatter(t_bad, signal_bad, color=COLORS[\"signal_2\"], s=50, \n", + " zorder=5, label=f\"Samples at {fs_bad} Hz\")\n", + "axes[1].plot(t_bad, signal_bad, color=COLORS[\"signal_2\"], linestyle=\"--\", \n", + " alpha=0.7, label=f\"Apparent {aliased_freq} Hz\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(f\"Aliasing: fs={fs_bad} Hz < 2×{true_frequency} Hz → appears as {aliased_freq} Hz\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "**Explanation**: The 5 Hz signal sampled at 8 Hz appears as a **3 Hz** signal due to aliasing. Since the Nyquist frequency is 4 Hz (half of 8 Hz), and 5 Hz exceeds this limit, the signal \"folds back\" to |5 - 8| = 3 Hz. This is why proper anti-aliasing filters are essential in EEG systems.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "05f7be56", + "metadata": {}, + "source": [ + "### 🎯 Exercise 2: Composite Signal Aliasing 🟡\n", + "\n", + "**Objective**: Understand how aliasing affects multi-frequency signals differently.\n", + "\n", + "**Instructions**:\n", + "1. Create a composite signal with 3 Hz, 7 Hz, and 15 Hz components (amplitudes: 1.0, 0.8, 0.6)\n", + "2. Sample at 40 Hz (safe for all components)\n", + "3. Sample at 25 Hz (15 Hz will alias since Nyquist = 12.5 Hz)\n", + "4. Calculate what frequency 15 Hz aliases to at 25 Hz sampling\n", + "5. Compare the two results visually\n", + "\n", + "**Expected output**: Visualization showing how the 15 Hz component becomes indistinguishable from a lower frequency" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "03bb919c", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 2: Composite Signal Aliasing\n", + "# =============================================================================\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "frequencies = [3, 7, 15] # Hz\n", + "amplitudes = [1.0, 0.8, 0.6]\n", + "fs_safe = 40 # Hz - above 2*15\n", + "fs_alias = 25 # Hz - below 2*15\n", + "\n", + "# Your code here:\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "4db2c07e", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Exercise 2: Composite Signal Aliasing\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "frequencies = [3, 7, 15] # Hz\n", + "amplitudes = [1.0, 0.8, 0.6]\n", + "fs_safe = 40 # Hz\n", + "fs_alias = 25 # Hz\n", + "\n", + "# Generate reference composite signal\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_ref = generate_composite_signal(t_ref, frequencies, amplitudes)\n", + "\n", + "# Safe sampling\n", + "t_safe = generate_time_vector(duration, fs_safe)\n", + "signal_safe = generate_composite_signal(t_safe, frequencies, amplitudes)\n", + "\n", + "# Aliased sampling\n", + "t_alias = generate_time_vector(duration, fs_alias)\n", + "signal_alias = generate_composite_signal(t_alias, frequencies, amplitudes)\n", + "\n", + "# Compute what 15 Hz aliases to\n", + "aliased_15 = compute_aliased_frequency(15, fs_alias)\n", + "print(f\"At fs={fs_alias} Hz, Nyquist = {fs_alias/2} Hz\")\n", + "print(f\"3 Hz: preserved (below Nyquist)\")\n", + "print(f\"7 Hz: preserved (below Nyquist)\")\n", + "print(f\"15 Hz → aliases to {aliased_15} Hz\")\n", + "\n", + "# Visualization\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6), dpi=150)\n", + "\n", + "# Safe sampling\n", + "axes[0].plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], alpha=0.5, label=\"True signal\")\n", + "axes[0].scatter(t_safe, signal_safe, color=COLORS[\"signal_2\"], s=20, \n", + " zorder=5, label=f\"Samples at {fs_safe} Hz\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(f\"Safe Sampling: fs={fs_safe} Hz (all components preserved)\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "axes[0].set_xlim(0, 1)\n", + "\n", + "# Aliased sampling\n", + "axes[1].plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], alpha=0.3, label=\"True signal\")\n", + "axes[1].scatter(t_alias, signal_alias, color=COLORS[\"signal_2\"], s=30, \n", + " zorder=5, label=f\"Samples at {fs_alias} Hz\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(f\"Aliased Sampling: 15 Hz appears as {aliased_15} Hz\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "axes[1].set_xlim(0, 1)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "**Explanation**: With fs = 25 Hz, the Nyquist frequency is 12.5 Hz. The 3 Hz and 7 Hz components are preserved (both below Nyquist), but the 15 Hz component aliases to |15 - 25| = 10 Hz. This creates a distorted signal where the 15 Hz \"beta\" activity would be misinterpreted as 10 Hz \"alpha\" activity!\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "39b6e83e", + "metadata": {}, + "source": [ + "### 🎯 Exercise 3: Fake EEG Signal 🟡\n", + "\n", + "**Objective**: Create a realistic synthetic EEG signal by combining multiple frequency components.\n", + "\n", + "**Instructions**:\n", + "1. Generate a 2-second signal at 256 Hz sampling rate\n", + "2. Add an alpha component: 10 Hz sine wave with amplitude 1.0\n", + "3. Add a beta component: 25 Hz sine wave with amplitude 0.5\n", + "4. Add background activity: pink noise with amplitude 0.2\n", + "5. Combine all components into a \"fake EEG\"\n", + "6. Verify that all frequencies are below Nyquist\n", + "7. Plot each component and the combined signal\n", + "\n", + "**Expected output**: A 4-panel figure showing alpha, beta, noise, and combined EEG-like signal" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "a276c842", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 3: Fake EEG Signal\n", + "# =============================================================================\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "fs = 256 # Hz - typical EEG sampling rate\n", + "\n", + "# Your code here:\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "d24b9297", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Exercise 3: Fake EEG Signal\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "fs = 256 # Hz\n", + "\n", + "# Generate time vector\n", + "t = generate_time_vector(duration, fs)\n", + "n_samples = len(t)\n", + "\n", + "# Generate components\n", + "alpha = generate_sine_wave(t, frequency=10, amplitude=1.0)\n", + "beta = generate_sine_wave(t, frequency=25, amplitude=0.5)\n", + "noise = generate_pink_noise(n_samples, amplitude=0.2, seed=42)\n", + "\n", + "# Combine into fake EEG\n", + "fake_eeg = alpha + beta + noise\n", + "\n", + "# Verify Nyquist criterion\n", + "print(f\"Sampling rate: {fs} Hz\")\n", + "print(f\"Nyquist frequency: {fs/2} Hz\")\n", + "print(f\"Highest signal frequency: 25 Hz\")\n", + "print(f\"Nyquist satisfied: {25 < fs/2}\")\n", + "\n", + "# Visualization\n", + "fig, axes = plt.subplots(4, 1, figsize=(12, 8), sharex=True, dpi=150)\n", + "\n", + "axes[0].plot(t, alpha, color=COLORS[\"alpha\"], linewidth=0.8)\n", + "axes[0].set_ylabel(\"Alpha (10 Hz)\")\n", + "axes[0].set_title(\"Fake EEG Signal Components\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t, beta, color=COLORS[\"beta\"], linewidth=0.8)\n", + "axes[1].set_ylabel(\"Beta (25 Hz)\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "axes[2].plot(t, noise, color=COLORS[\"signal_3\"], linewidth=0.5, alpha=0.8)\n", + "axes[2].set_ylabel(\"Pink noise\")\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "axes[3].plot(t, fake_eeg, color=COLORS[\"signal_1\"], linewidth=0.5)\n", + "axes[3].set_ylabel(\"Fake EEG\")\n", + "axes[3].set_xlabel(\"Time (s)\")\n", + "axes[3].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "**Explanation**: This synthetic signal mimics real EEG by combining: (1) Alpha rhythm at 10 Hz - the dominant rhythm during relaxed wakefulness, (2) Beta rhythm at 25 Hz - associated with active thinking, and (3) Pink noise - representing the 1/f background activity characteristic of biological signals. At 256 Hz sampling, all frequencies up to 128 Hz are accurately captured.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "e6d54d6a", + "metadata": {}, + "source": [ + "## Section 9: Functions for `src/signals.py`\n", + "\n", + "The functions we developed in this notebook form the foundation for signal generation throughout the workshop. They are available in `src/signals.py` for use in future notebooks:\n", + "\n", + "- `generate_time_vector(duration, fs)` - Create time arrays\n", + "- `generate_sine_wave(t, frequency, amplitude, phase)` - Pure oscillations\n", + "- `generate_white_noise(n_samples, amplitude, seed)` - Random fluctuations\n", + "- `generate_pink_noise(n_samples, amplitude, seed)` - 1/f noise\n", + "- `generate_composite_signal(t, frequencies, amplitudes, phases)` - Multiple frequencies\n", + "- `compute_aliased_frequency(true_freq, fs)` - Predict aliasing\n", + "\n", + "In future notebooks, simply import:\n", + "```python\n", + "from src.signals import generate_sine_wave, generate_pink_noise\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "90b86415", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "Key takeaways from this notebook:\n", + "\n", + "- **Digital signals are discrete samples** of continuous phenomena, captured at regular intervals determined by the sampling rate\n", + "\n", + "- **Sampling rate determines temporal resolution** and limits the frequencies we can represent; higher sampling rates capture finer details\n", + "\n", + "- **The Nyquist theorem states $f_s > 2 f_{max}$** to avoid aliasing; the Nyquist frequency $f_N = f_s/2$ is the highest representable frequency\n", + "\n", + "- **Aliasing creates false low-frequency components** when high frequencies are undersampled; these artifacts are indistinguishable from real low-frequency signals\n", + "\n", + "- **EEG systems use anti-aliasing filters** before digitization to prevent high-frequency artifacts from corrupting the data\n", + "\n", + "- **Synthetic signals** (sine waves, noise, composites) allow controlled experimentation with known ground truth\n", + "\n", + "### What we learned to do:\n", + "- Generate time vectors and sine waves with specified parameters\n", + "- Create white and pink noise signals\n", + "- Combine multiple frequencies into composite signals\n", + "- Predict aliased frequencies when Nyquist is violated\n", + "\n", + "### Next steps\n", + "In the next notebook (A02: The Frequency Domain), we will explore how to decompose signals into their frequency components using the Fourier transform." + ] + }, + { + "cell_type": "markdown", + "id": "aa8baffa", + "metadata": {}, + "source": [ + "## External Resources\n", + "\n", + "### 🎥 Video Summary\n", + "\n", + "- **[Signals and Sampling - Video Overview](https://notebooklm.google.com/notebook/477ddfd2-4fd9-4d1d-ba43-be90f20c8ee7?artifactId=1961c6e4-90be-4e72-b1dc-2deaeaf99af8)** — AI-generated video summary of this notebook's key concepts\n", + "\n", + "### 📝 Practice & Review\n", + "\n", + "- **[Quiz: Test Your Understanding](https://notebooklm.google.com/notebook/477ddfd2-4fd9-4d1d-ba43-be90f20c8ee7?artifactId=8b343bfb-da1d-4ca6-9016-05614ff89850)** — Interactive quiz on sampling and aliasing concepts\n", + "- **[Flashcards: Key Terms](https://notebooklm.google.com/notebook/477ddfd2-4fd9-4d1d-ba43-be90f20c8ee7?artifactId=9acb73bc-2c3e-4444-a5ba-eda835ebd05c)** — Review flashcards for spaced repetition learning\n", + "\n", + "### 🎥 Video Tutorials\n", + "\n", + "- **[3Blue1Brown: But what is the Fourier Transform?](https://www.youtube.com/watch?v=spUNpyF58BY)** (20 min) — Beautiful visual intuition for frequency decomposition\n", + "- **[Sampling, Aliasing & Nyquist Theorem](https://www.youtube.com/watch?v=yWqrx08UeUs)** (10 min) — Clear explanation with animations\n", + "\n", + "### 📖 Further Reading\n", + "\n", + "- **[Wikipedia: Nyquist-Shannon Sampling Theorem](https://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem)** — Mathematical foundations and historical context\n", + "- **[SciPy Signal Processing Tutorial](https://docs.scipy.org/doc/scipy/tutorial/signal.html)** — Official documentation for signal generation and processing\n", + "\n", + "### 📚 Academic References\n", + "\n", + "- Shannon, C. E. (1949). *Communication in the presence of noise*. Proceedings of the IRE, 37(1), 10-21. — The foundational paper on sampling theory\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "3d2a4e0f", + "metadata": {}, + "source": [ + "## Discussion Questions\n", + "\n", + "For the live session, consider the following questions:\n", + "\n", + "1. **An EEG system samples at 256 Hz. A participant has strong muscle artifact at 150 Hz. What will happen to this artifact in the recorded data if no anti-aliasing filter is applied?**\n", + "\n", + "2. **You want to study gamma oscillations (30-100 Hz). What is the minimum sampling rate you would need? What sampling rate would you actually recommend, and why?**\n", + "\n", + "3. **Why might a researcher choose to record at 1024 Hz even if they only care about frequencies below 50 Hz?**\n", + "\n", + "4. **Two signals look identical after sampling. Does this mean they were the same signal before sampling? Why or why not?**\n", + "\n", + "5. **In hyperscanning, two EEG systems must be synchronized. How might small differences in actual sampling rate (e.g., 255.8 Hz vs 256.2 Hz) affect connectivity analysis over a long recording?**" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-BuiFQKUd-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A01_signals_and_sampling_quick.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A01_signals_and_sampling_quick.ipynb new file mode 100644 index 0000000..baece0a --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A01_signals_and_sampling_quick.ipynb @@ -0,0 +1,1158 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "2444a81b", + "metadata": {}, + "source": [ + "# A01: Signals and Sampling (Quick Version)\n", + "\n", + "**Duration**: ~30 minutes \n", + "**Prerequisites**: Basic Python, NumPy fundamentals\n", + "\n", + "> 💡 **Quick Version**: This notebook imports pre-built functions from `src/signals.py` instead of defining them inline. For the full tutorial with step-by-step function implementations, see [A01_signals_and_sampling.ipynb](A01_signals_and_sampling.ipynb).\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "- Understand the difference between continuous and discrete signals\n", + "- Apply the Nyquist-Shannon sampling theorem to determine appropriate sampling rates\n", + "- Predict aliasing artifacts when signals are undersampled\n", + "- Use the signal generation functions from `src/signals.py`\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "1066cc02", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Continuous vs Discrete Signals](#section-2-continuous-vs-discrete-signals)\n", + "3. [Sampling Rate and Temporal Resolution](#section-3-sampling-rate-and-temporal-resolution)\n", + "4. [The Nyquist-Shannon Theorem](#section-4-the-nyquist-shannon-theorem)\n", + "5. [Aliasing: When Sampling Goes Wrong](#section-5-aliasing-when-sampling-goes-wrong)\n", + "6. [Building Block Functions](#section-6-building-block-functions)\n", + "7. [Practical Considerations for EEG](#section-7-practical-considerations-for-eeg)\n", + "8. [Exercises](#section-8-hands-on-exercises)\n", + "9. [Summary](#summary)\n", + "10. [External Resources](#external-resources)\n", + "11. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "55f7b7aa", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parents[2]\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from src.colors import COLORS\n", + "from src.plotting import configure_plots\n", + "from src.signals import (\n", + " generate_time_vector,\n", + " generate_sine_wave,\n", + " generate_white_noise,\n", + " generate_pink_noise,\n", + " generate_composite_signal,\n", + " compute_aliased_frequency,\n", + ")\n", + "\n", + "# Apply plot configuration\n", + "configure_plots()" + ] + }, + { + "cell_type": "markdown", + "id": "a1fbb01d", + "metadata": {}, + "source": [ + "## Section 1: Introduction\n", + "\n", + "Electroencephalography (EEG) measures the electrical activity of the brain as it unfolds continuously in time. The voltage fluctuations at each electrode reflect the summed activity of thousands of neurons, creating complex waveforms that carry information about cognitive processes, emotional states, and neural communication.\n", + "\n", + "However, computers cannot store continuous signals. Instead, they capture discrete samples at regular intervals, converting the smooth, continuous reality into a sequence of numbers. This process of **sampling** is fundamental to all digital signal processing, and understanding it is essential for proper EEG analysis.\n", + "\n", + "The quality of our analysis depends critically on how well these discrete samples represent the original continuous signal. Sample too slowly, and we lose important information. Sample too quickly, and we waste storage and computational resources. Finding the right balance requires understanding the relationship between sampling rate and the frequencies present in our signal.\n", + "\n", + "Typical EEG systems sample at rates between 256 Hz and 1024 Hz. By the end of this notebook, you will understand why these values are chosen and what happens when sampling goes wrong." + ] + }, + { + "cell_type": "markdown", + "id": "6d09816b", + "metadata": {}, + "source": [ + "## Section 2: Continuous vs Discrete Signals\n", + "\n", + "A **continuous signal** is a mathematical idealization: a function defined at every point in time. If we could measure brain activity with infinite precision, we would obtain such a continuous signal, with a voltage value for every instant, no matter how small the time interval.\n", + "\n", + "A **discrete signal**, in contrast, consists of values only at specific, regularly-spaced time points. This is what our computers actually store: a sequence of numbers, each representing the signal's value at one particular moment.\n", + "\n", + "**Sampling** is the process of converting a continuous signal into a discrete one. We measure the signal at regular intervals, determined by the **sampling interval** $\\Delta t$ (the time between consecutive samples). The **sampling rate** (or sampling frequency) $f_s$ is the number of samples per second:\n", + "\n", + "$$f_s = \\frac{1}{\\Delta t}$$\n", + "\n", + "For example, a sampling rate of 256 Hz means we take 256 measurements every second, with a sampling interval of approximately 3.9 milliseconds." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "5573b476", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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5W66eYf97Qsc4OemYI+WbH+fII0+/Kv+47zYJDKz4UvPUy29Lema2TD/x6CrBP3XJedPlgSdelKdffltGDOlvv/6nOfPl13mLpVuXJDl60timLDLQZrL3vll/QNbsz63y97jwIDmhf3yL99LRcp+aDaA/LvRHxYq92dKjOF9OdCPA50wHQ/3CgsnoAwD4fgafGwE+i84Z1mNmnn+A+CV1NNlzWjK7JWl2gZYA3ZNZKD9sOig7Myr6YReX2Uw5bi0lqhN7yOoDAKCCHhu/XHugSt96/f2rAbepvTs2a3CvOp2Io5N2BnSOlHX7c+X7TYdMSw2VVVgq7yzbJ2O6dpDj+8X7dFafBvUem+WqatgB8WZ3TutlArKNoYEZpZl4DaEZWK+//rpJwtAAlhXgU1pO8a9//asJxGh2mKsgn5b4tAJ8SgN61157rfz5z382gSMN8nnKn/70J3uAT2mZSy0tqUE+fa6mBvk0cKY04GQF+JRmxD3xxBMyffp0sx6aEuQ7ePCgOR85cmSVAJ/ScpnOr8+dx9FgXHXu9t97+eWXzflDDz1kD/ApXS59vRpArY1uL6+88oo9wKdGjx4tJ510ksnM04Cfc3lQ/Xt1WuJTA6tvvPGGCS4T5ENLIMjnZM78JfLKf/5nv1xSUvGF4OLr7rD/7ZpLzpUpE0ab/2dmZcuOXXvl4OGMGiv2jhuvlFXrNsmPs+fL9EtulMH9+5hSnHrqnpIkf7nh8hr3OfPkY2TugqXy89yFMn3GTTLuiKGSmZUjS1auldCQYPn7X2+xBwuB9mp3ZoH8b+V+80XdonX4tXymBtmq1+RvSTrwd8aQzjKqS5QE/LCwUU1PtaxZQFJ8iwYpAQDw5AxzPZY1lB4zzyjLkugjhja5VFBTpMSEyuVjUkzpr+83HpL8ypnxuzIL5cXfd8mpAxNM2TEAANqrkrJymbn+oCzbm12jos4pgzpJYjNm4bsT7NNqAP0SImTOtnT5fUeGvbWGVt7RDP1zhydKUnRoqy0jWoZmk2lvNQ3QuAoOzZgxwwT5tAxneXl5je+fWrKxun79+plz575wntCcz7Vr1y5z0iCpq+fRAGdMTIxs2bJF9u/fb3oPNoauYy2NqeVVNZCmpTuTk5Mb/DjaM/Dbb7+VG264wZTG1NKdDSnTqr34NFNPx9TOOeecGtdr8FB7Hqanp7u8v2YiOgd33Xk/tCTpV199ZTINs7OzzfakgoODZfPmzW4vO9AUBPmcaIadBuaqc/6b3sYdsTHR8v7L/5AX3/xQZv22UH6eu8Bk5l189ily/eUXSnRUzTIBekD554O3yzsffy2ff/uzKdsZFhYix04ZLzdccaH07tG1ce8y0EYGDefvzJQfNx2q0ntPf0icPqSzxEcEi7dILiqQwtJi0cVsaKhOy5aVp6VLQGLVmU8AAPgCPYa56kPrjqC8ArEdyBBp5WOgDgqM6BJtBgi1v9Dq1Bzz96LScvlkdZrsziw0Gfxa7hMAgPYko6BEPlyeKqk5Rfa/Bfn7yXH942Vs1w5eM1lVs/WO7Rdv+vZ9unq/7M+pKOF5OL9EXlu4R6YP7iTDmbTjE6ysMCvDy1379u0z57WVz9TAlpZYzMrKkoyMjBrZZ84ZYBYrG1DLMXpScz6XtR40eOWKfmb1uszMTBOsamyQTzPf/v3vf8vVV19t+hnqSQNjWg5UA6qTJk1y63G0x532zfv111/NfbU0pmYBnnLKKXLZZZfVW65TMz+1r54GNTWD0JVu3brVGuRz9V7U9X5odqSW8NTgItCaCPI5OeOkaebkrusvv8CcatMhOkru+r+rzMldAQEBcun5p5sTAMdMwS/WpMlqp/KcOq52TN9400jb23rklGzeY879mnB/gnwAAF9kHQOlDRwDw4MD5JxhidIvPly+Xn/QBPnUot1ZciC3WM4bkSgRwfycAgC0D1sP58vHK1Mlv8TRE65LdIicNSzRqybdOtPevn8c31V+2ZIu87ZnmIm4peU2+XR1muzNKpQT+vvWpB3tbaelLy25uRVjJM49wrx1uRtrxIgRJttu2bJl8oc//MGjy1VXULolK0t46rmsDLKGamhwvrbnufDCC02mnJao/OGHH2T27Nmm9KWetPzoP//5T7eChbNmzTLvuWbHabBPL//444/y97//3fQu7Nu3r3jDe7FgwQLTN1ADj1ruVMt4apBUy3UqzWT0dNYnUBvfLUQNoF3IKy6Vt5fsrRLgiw4JNKW0juwZ63UBPlWekd20+2dWZAwAAOBr2uIxUMtzXjehmyRHO8qP7cgokFfm75YDuZ6dyQ0AgDdasjtL/rtkb5UA37huMXLluK5eG+CzBPr7y3H94mXG6C4SHuQYBl24K0veXbZPCksdPQW9nQZjtLedddLgmZ6c/+aNp6ZkeGoGl/rf//4npaWOti31sUpF7ty50+X1msGn2WthYWESGxsrvkJLQDoHeJ3t3r27wevB+bouXbo0+nksmkF31VVXyUcffWTKf2rpTQ3cacbb2rVrxR26vWiZzscff1wWLlxoshE1gJiWlib33HNPnffVjMygoCA5dOiQFBZW9NhuyPI3xGeffWbOH3nkEbn00ktNRqQV4NNSsfr6gZZCkA+A1zqUVyz/XrDblMWy9IwLk2sndpVusWHitZr6I6GyHygAAD6njR4DY8OD5IqxKTIsqaJUj9L+wK8v3CO7MgpaddkAAGjOthmzNh+Wr9YdMFlwVnnOs4Z2lpMH+lYWXO+O4XL1hG6S5DRpR7MT31y0V7ILvfP7B0ROPPFEGTx4sOzZs8cEU+qi/dCsQJL2dtMAnvbmc9UX7Z133jHnWkayqZl0VkCsIUHIxkpKSjLnmzbVbDel2W6uSlPqScud/vzzzzWu1x56Wq60T58+VUp1NvR5agvW6ftnBWrdDfJV16lTJ3nggQfM/9esWVPnbTXAN3bsWLPv+vTTT2tcr1mBWtLTE3S91VbiU4PSugxASyHIB8ArpWYXmYGzjALHl6QjukTLjFFdvL80VmBA0+4f5OWvDwCAdngMDArwN4OaJ/SPt5fkLiwtNxUHNhyoOcsZAABfVlZuky/WHpDZ2xy9q6JCAuTKcSk+288uNixIrhybIkMSHeUt9+cUyWsLd8vB3Iq+ffAuGijSgJz2V9NAz1133SV5eVX7P2sw5csvv5TRo0fL4sWLzd8iIiLkiiuuMKUlb7jhhir30cDV3/72N/P/m2++ucnLaGXLbdy4UZrb1KlTzbmWvszPz68SvHrmmWdc3uemm24y51oy07m3oWaaaQ889X//938un0dLZJaVOSbxvf/+++ZU3fLly01QTfvhOdPed5qNp7p27Vrv63v55Zdl+/btNf4+c+ZMtx/j2muvNef33Xef6TPovCzW6/UE7TmoXn/99So9+datWyd33HGHx54HcAdBPgBeZ3dmgby1eI/kl1R8kdCBNC2voc2xfWGmoH9s037w+Mc4sgQAAPAlbf0YqANNE3vEynkjkiSw8juJ9vb5YHmqrNzXtFKlAAB4U4Dv09X7Zflex7EtISJYrhrXVZKiQ8WX6aSds4clysQeMVWy83UMgjLc3kn78v3000/SuXNneeyxx0xml/Z+u/jii+XUU081WWenn366KcPoHATSAJVm9GnmWa9eveS8884zWWXDhw83AS4N8J122mlNXr7p06eb84suukjOPfdcU65ST81By1b2799ffv/9dxk4cKCcc845Mn78eDnuuOPkuuuuc3mfP/3pT3LSSSfJqlWrTD+7s846S84880wTpFq/fr2cccYZcv3111e5jwZGtfTmxx9/LIMGDTKvS9+HGTNm1AgIWiU/zz77bPt7o/0T9b3p0aOHbNu2zaznCRMmuBXk0/dKszf1tV1wwQXmefU1aKBXA3f10e1CX9/WrVtlwIAB5vXpsmm2omZt6vpyzsBsrMsvv9xkP2rvQH1Pzj//fPM+6PJOnjzZlO8EWgpBPgBeZXt6vvxnyV4zM17p+JnOmtf+e02p496SgvrWTNV3h62J9wcAoLVZx7DGFqfxlWPgoM6RMmNUsumDY73ez1anEegDAPg8nbzy8ar9sma/I0u9e2yoyeCLCQuStsDfz09O6J8gJw1IsGfn5xaXmdKdmtkH76NlNbds2SJPPvmkjBkzxgSstO/bvHnzTCDp/vvvN2U5jznmGPt9oqKiZPbs2fLggw9KfHy8yfabO3euyfh777335Nlnn/XIsmnQ7OmnnzZlGzXgo5ldemoOWoJUy25qsC8nJ8dkuGmm3YcffmgCc64EBASY166vVwNo33//vfzwww8mMPXCCy+YQF71kqUaUJ0zZ44J1KWmppreeh06dDABUyuo6UwDZ5odqUFVzWjUcpVLliyRYcOGyRtvvCGffPKJW6/v4YcfNhmYOv6nr1PXp/a306DpihUrzHZQH72vrg8N8moAWJddswk18KgZj9qvT2/T1F6M2v9PM0c1uKsZjLqONXNQX4OrbEegOfnZKBDb7pxxaUUq+udvP9fai+L19IBpfTFA89OeNv9duleKyyqGBgP8/OS8EYkyoJOjlIYv0N1qwdfzxJZdtYSEO/JCQqTjWVMkoIk14dG+sK8C4C1+354uKQtXSMcyR8kad/lFR0jYqZN8ZlKP0oFAnZyUV+yoPnDm0M4+W8YMAN+r0L5pBt9HK1Nlw4G8Kr3sLhyZZDLg2qIVe7Pl8zVp9glKYUH+cunolCq9+7wVvwOBhtHejj179jRZfZrFiJbBvqr5tc0jNACfsy+rUN5Zts8e4NNm3hcfkeRzAT6lg5PBo/o3+H6auzgzJFa+3XCIBr0AAJ+zZHeWfL/psMyK6GiOaQ2lx05fCvCpxKgQuWyM9gsOqJLRtya1YqIYAAC+otxmk89W768S4Osb37YDfGpEl2hTPcj6BlJQUm4mHx/Ko0cf4Ks009O5T55KS0uTyy67TEpLS01WH9CWtN2jNACfkaaz4JfulaLKEp3a4+bCI5Kld3yE+KrA5AQJHj/E7dvroOB3kQmyPThcFu/Okl+2OJqbAwDg7Vbty5av1x0w/9dj2Zy4xAaV7NRjph47fVGnyJqBPu1jtOVQwzP6AQBorWo036w/KKudSnT2T4iQC9p4gM8yLDlazh2eaNqFKM3Q10z9rIKGVyYA0Pr+8pe/mJKj06ZNM6VNjzrqKJO9pyVAtdzrbbfd1tqLCHhU2z9SA/Bq+qX5naX7zGw5pV+qzxueaEqC+Lqg3l0k5OgjTPmxuuj1AVNGSGZnx+Dm7G3psnBXZgssJQAATbPpYJ585lTmKjokUCZOHSShbh4D9Vipx0xfZgX6tMSX0sIEH65IlT2Zha29aAAA1OvnLYdNRr5Ff49r64zAdtRGYnBilJwxpLP9clZhqZmMnFdc2qrLBaDhNGNPg3kbNmyQzz77zPTO0yCf9g389ddfJTQ0lNWKNoWefO0QPfncR83g5lVQUiZvLNojB3IrymDopDmdPadfrtvarMjytHQp2bxHyjNzREpKRYICxT8mSoL6poh/5zhTniy/uGJ9HMxr2+sDnse+CkBr2ZddKG8u2mMvtx0eFCBXjE2RhMjgGsfA0vQskdIy8Q8OqnEMbCs0qPf2Esf60KDfVeO6SnxExfoA4P34XoX2ZtGuTJPFZ0npECqXjO4iIYHtJ8DnbMHOTPl2Q9X1oRN5vDGjkf0VAF/Avqr5BbbAcwBADaXl5fLB8lR7gE+dMqhTmwxo6eBlQGJHc6pLeHCAzBidLK8v3GNmDerw4Cer0iQqJFC6xYa12PICAOCOzIISec+pn25wgJ9cMjrZHuCrfgy0ftyFR7W9Y70lJSZULhiRJO8u22ey+bRSwbtL98kfx3c1x3kAALzJ5oN5MtMpwNcpMlguPiK53Qb41PjuMVJYUia/bK1oobEnq9D02z3HlPNsOxOTAABtR/s9agNoNTqr/8u1B2RHRoH9b5N7xcqYrh3a/bvSITRIZoxyLvdlkw9WpEoGvQAAAF5EB780kJVTVGYvt33+iCRJiqb0jfYUPmtoon1dpReUmGO5TnACAMBb7M8uko9WplYpt62/RZmUIjK1d5yMSom2r6u1abny8+bDrfZeAQBQF4J8AFrc/J2ZsnJfxWx+NSwpSo7pU3eWW3uiGRAXjkyWgMpZgtr0WzMlikoZHAQAtL5ym00+Wb2/Sjb+qYM6SZ/4uvvvtSdD9LtNX8d3m50ZBfLV2gNmohMAAK0tp6hU3l1eNRv/oiOSJTqUgl9WJYJTBnYyvQktv23PkGV7HH0LAQDwFgT5ALSoLYfy5IeNh+yXu8eGyelDOrepfjyeoOtl+uBO9ss6kPrxqv1mYBUAgNY0a8th2XQw3355cs9YGZVCNn51ul5GJDtKk67YlyO/78xssfcJAABXSstt8tGKVMkuLHXqBa/Z+CGsMCcB/n5y3vBEU8LU8vW6g6b/LgAA3oQgH4AWcyivWP63cr+9HEhMaKCcPyJRArXGF2oY0SVajuwZa7+86WCezK7sCwAAQGtYuz9H5m7LsF8e0ClCpjllrMFBJzCdNriTmbhj+WnTIdl+2BEgBQCgpX2/4aDscgpUnTggQfolkI3vSmhQgOlRGFHZV1fbaXy4IlVyiyoCpAAAeAOCfABaRHFpufkyXFhZcjIowM+UpIwIphxIXbTUlw6gWjTIp8E+AABaWlpOkXy2Js1+OSEiWM4c2ln8ycavVaC/v+lV2KGy/Fm5TeR/q/ZLFr12AQCtYPneLFm021FyUjPOx3UjG78uMWFBJqPPmpucXVRqehmW6UEdAAAvQJAPQLPT/jNfrz9QpXfPmUM6SyLlQOqlA6e6rjqGB1WsSxH5dNV+ycgvac63DACAKrQvrA5olVT27gkN9JcLRyZJaGDFzHbUTmf/a6DPqlygvXZ14lNpOb12AQAtJzW70JSbtCRHh5ieurTOqF+PuHA5oX+C/fLOjEL5YZOjDQkAAK2JIB+AZrdsb7as3JdjvzyxR4wMTnT0qEH9JUJ0cFCzH1VBZVZkSRmDgwCAlpms89W6A3Ior2KCiR6NzhmWKB0jHD1qULcuHULl1EGOwcG92UVVehQDANCcCkvL5KOV+00/PmsCygXmNybDgu7SjMfhTr12F+zMlA0Hcpvl/QIAoCE4mgNoVqnZRTJzvWO2YLeYUDm2bzxrvYE6R4XI6YM7O9ZrTpH8yMxBAEALWLInW1anOibrTO4VK33p3dNgI7t0kNEp0fbLC3dlyfo0BgcBAC0wWWftAUnPrzpZp0NYRbUYNKDX7qBO0jnSMcnps9VpkkkJbgBAKyPIB6DZFJeVy8erUqvMFjx3eJIEWMXs0SBDk6JkrFO/BB0c3MjMQQBAM9qfXSTfbXBM1ukRGyZH9e7IOm+kEwckSGJUiP3yF2sYHAQANK+le7JlzX7HpJIpveOkV8dwVnsjaObjeSOSJLiyyk5habn8b+V++vO1QIDV+RQUFCTx8fEydOhQueyyy+STTz6R0tLSOu/fo0eP5l5M+Bhv3S7mzJljlu2FF16ocd3SpUvl+OOPl5iYGPvnYceOHa2ynLt375YXX3zRfAYHDhwo/v7+Znl+/fXXeu87b948OfnkkyUuLk4iIyNl7Nix8p///KfBy6DPrc/51ltv1Xk7a1011vLly839//GPf4i3IsgHoNloGSrn0l5nD0uU6NBA1ngTHN8vXhKjHDMHP1+TJtmFtX+ZBQCgsbQs9Cerq5b2Omd4IpN1mjg4eO7wRPvgoJbg/ngVg4MAgOZxILdIvq0xWSeO1d0E8RHBppehZU9Woczacph12gIuvfRSc7rwwgtl0qRJJrCngYFzzjnHBBkWLVrUZt8HDUbRP7N9ZF7/+c9/lpSUFLnqqquqXJeTkyPTp0+Xn376SY444gi55JJLzOdBg2StQYPrN9xwg7z99tuyYcMGs+zu3m/q1Kny3XffybBhw+TEE0+UzZs3m9eir90bjRw50qz7v//975Keni7eiNF2AM1i08E8Wbw7y355Yo9Y6c1sQY8MDp4zLEleWbBLSspskl9SLp+s2i+Xjuki/k2YlQIAQHU/bz4sB3KL7ZfPGtpZokL4+eCpwcFPV6eZy7szC2XutnQ5qg8ZkgAAz9FJOnqscZ6soxNv+d3YdMOTo2VHeoEs25ttLs/bniH9EiKke2yY+AodkC9PS5eSzXukPCNbpLRMJDBA/GOjJahvivh3jvO6oJKrbJ2tW7fK3XffLR999JEcffTRJkNoxIgRVW6zfv16k/0HeLvPP/9cFi9eLE899ZSEhDiqfyj9+759+2TGjBmNynrztF69esktt9wiY8aMMacbb7xRfvjhhzrvowGyK664QsrKykyw76yzzjJ/T0tLkyOPPFL++c9/yqmnnipHHXWUeJu77rpLvvzyS3n88cfNyduQyQfA43KLSk2GmUXLUk3ry2xBT0mIDJaTByTYL+/IKDBNvwEA8JRth/NlvtOxZXy3GOkTH8EK9uDg4IjkKPvl2dvSZV9WIesXAOAxs7emS2p2kf3yGUM6U1nHg04amCAdwysCRxpG/Wz1fikqLRdfULrvoBR8PU8Kf14iZbv2iy0nX2wFReZcL+vf9Xq9nbfr3bu3fPjhh3LllVdKfn6+CSBUN2DAAHM7wNtp+cuAgAC56KKLaly3Z88ee3DNG2hm29NPP22WtW/fvm5NCnjttdckOztbTj/9dHuAT3Xu3NleClMDfd5o/Pjx0qdPH3njjTekuNgxEdZbEOQD4PHZYF+sPSB5xWXmcqC/n5w9rLME+rO78aSRXaJlSGJklWyLg07ZFgAANFZBSZl85jRZJyEiWI7tR5ZZcwwOxlSWMdckC8220BKpAAA01e7MApMlbhmVEm0yzeA5wQH+ctZQzYysuJxRUCrfb/T+oFjJ1r1S9MsysWXn1Xk7vV5vp7f3BRoYiIiIML2zfvvtN7d6r/3+++9yxhlnSPfu3U3WVGJioukNduedd0purqOPpWXhwoVywQUXSJcuXcztk5KS5JhjjpF///vfLktr6vjY888/L8OHD5fw8PAqGYZaavSll16SCRMmSHR0tISFhZnrn3nmmSr9BbW/mT7Wzp077a/FOlV/Te4+pjvcXTeFhYXy+uuvm6CNBp/0ObVf3JQpU+SDDz6os4+avjYtPam3jYqKkk6dOskf//hHycqqqAp24MABueaaa8z6Dg0NNc/vqt+bZnjq4z3wwAOyceNGOfvss6Vjx45me9CyrjNnzpSG0uxPXc6uXbua169BKH3v165d6/L2+hzHHXecfdtITk42mWkPPvig28+5fft2+fnnn2XatGnm+Szac09fn5azVPqY1jagy+jJZWhu33zzjTnXErvVnXLKKeZ91m1Ct6vm1qPyc1rXqTotFXzo0CH57LPPxNsw6g7Ao5bsyTalOp17yHWKrJpijqbTg80pAztJZHCAuawlWHTmYFllKRYAABrrm3UH7P1etXWcTtbRctHwrNDAADljqOMH/MG8Ynr6AACarLi03EwcsX4ZxoYFyQn9HZVg4DkpMaEyuaejatHSPdmy8UDN4JC30My84gVrGnQfvb0vZPR16NBBTjrpJPP/X375pd7bf/XVVzJ58mRTfk+DdZpVpH23tJygluLTgXxnzz77rEycONFkDVq3HzJkiKxZs0Zuv/12l89x7bXXym233WaCV5r1ZGVgFRQUyPHHHy/XX3+9bNq0yWQIaXAmNTVV/vSnP5kgVXl5xcQvDa5pcEcDVs59CfXkHChpyGN6ct1oAEp7xy1ZssQETTTYp4HFBQsWmICIBt5qo4ES7cemwVA918CUZnrpY+hzaLDy+++/N8uij6nlKvV2q1evdvl4Wrp13LhxJtCr62L06NEyf/58U/7xzTfflIaUzNTXq73m4uPjzXvXs2dPUxJWA41z5sypcvsXXnjBBKh0u9NML13Xum1oYLau11+dBul0XVQvVak99/T91oCl0qCxtQ1oEM+Ty9DcVq5cac61p2B1wcHBZpk1wKfbcHM755xzqnyerNMJJ5xgrvd3kaxivTdWsNKb0FQDgMek5xdXmbnWJz5cxnbrwBpuJuHBATJ9cCd5b3mqubw3u0h+254hU2mkDgBopNWpObJ6v2Nw6ug+HSUpOpT12Ux6xoXL+O4x9rLb83dkSv+ESOkR5zs9fQAA3uWHTYckPb/E/N+vsqduSCCTdZqL/v7efChP9lWWRv1y7QG5PiZUIoK9a8hVgwfFSzc26r56v4CkeK/r0VedBoI+/vhjk4VVnyeffNIEvfT2GhBxpsEkzQSzaFBHA2UabNHAlGbvWTRDrrY+ZJ9++qkJOA0ePLjK3//85z+bYMz5558vr7zyiglQqpycHJMtpsG1V1991QQJtdSoZqppBlteXp7LvoQNfUxPrpuEhAT58ccfzTpx3j40K00z0h5++GGTbeYqk/Jf//qXWS4NTlnLqoHU2bNny9SpU83/tTSi1U/x3nvvlb/97W9m+TQAV90777wjl1xyicksDAys+Px9/fXXJiNR+8Vp4E+z3OqiQcs//OEP5jn1vscee6z9uu+++84E/PT6LVu2mKCU0jKT+to1sKmBRefPnL4Wd82dO9eca387Zxpo1PddT9pzUl9P9cBdQ5ZBX6MGLRtKH6sptEynlaWZkpLi8jb6dw0Ya3By2LBh0pyefPLJGn/TAKNue+qxxx6rcb2uWw3+NeR9bSkc5QF4hO7s9ctsSVnFTj88KMDU/Pf2L4G+rn+nyKo9fbYelv1OfRcAAGhIT13N4rN0iwmVST1jWYHN7Ni+HSU+wtHT5/M1vtPTBwDgXbYcypPFuysGUZUex7vFMnGkOQX4+5myndqqROUWl8lXaw80eUDc08rT0ust0VkbvZ/e39tpMERlZGTUe9uDBysmqDsHcSwaZNHykRYd7Nf385577qkS4FMaTDr55JNdPscdd9xRI8CnJSi1vKeWgdTsMisYp/Q5NUClwSMtu+kuTz9mQ9aNBvz0dtXH/jSIpOtLg4WaGeiK9nKzAnzWsmq5Tqv/3HPPPWcP8FmBTH2e2gIsGoTV0qRWgE9pFp9mbGm/Rney+fT+Gkz9+9//XuP1axbhddddJ7t3766SyaXrS0uUOgfXlC5r9ay8uqxatcqc9+/f3+37NGYZrMzAhp6aSterRcvXumJlrGrAtyEuv/zyBpXdrI1uf4sWLZIZM2a4zNDVMria3bpr1y639jMtybumlQDwWcv2Zsv29AL75VMGJUhUCLuYlnDSgASz7rMKS0VjrJ+u3i9XT+hm/5EBAIA7vt1wUAoqg0vBARUDVv5M1ml2WgpV1/VrC3eb3nza0+eHjQfltMGOUp4AANRHJ4joxFtLYlSwychH80uIrOhf/N2GijKG6w/kybq0XBmc6AiGtLaSzXuafP+ARO/enqzAqjuD+qNGjTIZfzqYrxlietlVeT7N1LP6wF199dUNWh7N+qpOH6ukpMQEjLR/XXVanrNv376mJKWW4HR1m+Z+THfXjTPtg6jLsXfvXpMNpe+FlgpVmzdvdnkfzayrzippqsGq2Niqkw01eBkXF2d/XFePV/0+SsuGaplVK1OuLlZWppYodUVLh2rwUQNBZ555pvmbrh99/VdeeaXceuutNQK7DQnWKlevoT4NWQYrM7AtmTRpkilTWhtXmZ/VaSlazQbVkq/V+2w6021Qt3MNrDbmvWoujMADaDLt2/P9RkdN7gGdImRw50jWbAsJDQqQ0wd3kv8s3Wcup+UWy5xt6TKNH3QAADdp/5g1TmU6j+sXL7HhjpmzaF5dOoTK5F5xMntrur3H8bDkaOlO9gUAwE0/bz5sJn5aPXWds8vQ/MZ1i5ENaXmyI6Ni8vPM9QelV8dwCQsK8IrVX56R3bT7ZzYss6Y1WL3idBC+Po8++qgJemmWmZ50sF77m1nlGENDK8rVHz582ATG9DEbOqDfrVu3Gn/TUolKgwh1BRKU9sCrr7xkczymu+tGaflFDYjNmjWr1serLSvL1XJolllt11nX63viSvfu3V3+3SoVum9fxZiZO+uyvnXk3JdQ++FpCU0tLaqnzp07m5KPul40izAgwL19gFXK0loHDeGpZWhOVpae0sxKzYqrLdvPOVvUHVdddZUpC9vYIJ+WZr377rtNuVDtyaj9IWtjLXdmZkW7BW9BkA9Ak+jsnG/WH7CXlQoN9JdTBnaiTGcL6x0fIWO6drCXZvltW7oMTYwyMwoBAKhLYWmZfL3O0VO3a0yojO5KT92WNrVXnGxIyzWTddSXa9PkuomamU+HBQBA3fZkFsqiXY4BxyN7xUnnqNoHKeF5Wv1g+uBO8uLvu6S03GbKdv646ZBM95bM/NKypt2/pCKA7M20/50aNGhQvbfV0pba+0uDUzrAryUgraCW9jebP39+ld5zjeEcDLNo+Uqrf+Dw4cPrvH9dgYbmfMyGrBstSaq304DSgw8+KEOGDDFlIzWopFlxJ5xwQq2la+vKDqwvc7C5WOuyvvKUmu1l0d5x69atMz37Zs6caTIaP/roI3OaMGGCuWz176uLZipqADM3N7fBQa6GLIMGKLX0aUM1NftPg2P6GjWYqeVYXX1O9e91BWybw7p160zpWP1saIBPM1/dCcbqdu5NCPIBaBItQbHhgKOu8vH94yU6lF1La9Csi00H8+xlO79alyaXjUmh1BoAoE4/bTos2UXWzH8/OX1wZ44drdTTRwcCtWynDoUcyiuRudsyKLUGAKhTWbnNTAyxhtG1z+tkeuq2io4RwTK1d5zJqlRLNTM/KUp6xLnuP9WiApuYyRPk3eM8OvD+/fffm/8fffTRbt1He7dpiUerbOTOnTvliiuuMEErLd2nAS0tbajlLTUDTjN3mjqwr5lCSjPjnn/++SY9VnM+pjvrRn322WcmoPfll1/WyMzatm2btCRdxrr+npyc7Na63Lp1q/zzn/9sUJBXA7qaSacntXbtWhM40oDoa6+9Jtdff329j9GpUycT5NNtraFBvoYsgwYR3SlfWZ0nSnxqEHrOnDmybNmyGkE+LTm7Zs0a8zr69esnLeHw4cNy2mmnmWzTDz74wJQ9rY/Viy8hIUG8CdNCATRafnGZfLPeMfO/Z1yYHNGlZro1WkZIoL+cPNBxkNmZUSgr9jatJAcAoG3bmVFgzwJXU3rHkgXeilJiQmVsN0cWpQb5DlZm9gEA4Mq8HRn2LHClE0a03ytax6QesdLZqaKO9kksKavIDmpN/rFNG6vxj/Ge/oKu3HbbbabU35gxY0zmUmNo9pBmpikNNigNYB111FHm/6+++mqTl1MDkPqYmiGnQQ13WVlY2iPQU4/Z1HVjBTw0uOeq9KJmkbUkzRx0VUJRgzdWELQ+xx13nD142RTaE++GG26osb7qYmVhbty4sUnPXd8yaPlSza5s6MkTTjnlFHP+8ccf17hOt1/t53jssce6zIL1tNLSUjn33HNNMPqvf/2rnH/++fXeJzs725R91VK83tSPT3HUB9BoP2w6JHnFFSUfgszsc8p0trYBnSJlYCdHnesfNh6S3MrsDAAAnOmAk878t3SKDJYje9bfwwTNa1rfjhIdUjFbvsxmM5n55R76YQ0AaFsO5RXb+7mqUSn0c/WWzHyrG+Lh/BKZs60i86M1BfVNadX7NxcdoNfB+ddff930/NJzdzz99NOyf//+Gn/XUodWyUqLBrf8/PzkkUcekV9++aVGoMC6jzu015tmxGnvtwsvvFDS0hzfxS1btmyRTz75pMrfrCw0VwGgxj6mJ9aNZlxpoO/DDz+s8RjV11Vz0wy1W2+9tUog9NtvvzXBRs3GvPzyy90KFutttZzlp59+WuP6oqIiE6Cyykpqb7nnnnuuRnBRy35q6czq66sukydPNueLFy+WhvDkMjQ37Z2nAeEvvviiyvo9cOCA/OUvf7G/By3h5ptvNtuoZj4+9NBDbt1H3xsNeGp5Wm/j3bnWALzWrowCWe6UJXZ0344SF07/N29w0sAE2Xo4X4rLbFJQWm6Csdp0HQAAZ/O2Z5iSkEoHonSyTqC/NSSF1hIaGCCnDEqQ95en2jPz9TvXqBT6JAIAHHSg8au1B0z/NxUVEmBaOMA7MvPHdYuRBZV9En/bni5DEiNbtU+if+c48YuOEFu2o92Ku/R+ev/Wdtlll9mDF5pRs2nTJtmwYYP5LPTt21fee+89GTp0qFuPpf3jNJCj2VN6X32MlStXmseMi4ur0rNMB/S1PKUGIaZNmyajR48299HeZnofDfy4yiCrzbPPPmsCchp00yCM9tLTzCDNRNT+YBqQO/300+Xss8+232f69OmmN94xxxxjMvc0oKmlRB977LFGP6Yn1s1dd90lf/jDH+SCCy6QF154wZS71Nvq+/KnP/3JBPtaysUXX2wCR9p/TnvmpaammtKQuvwaBLPKmtalT58+8v7775syl7qu9PLAgQPN+t67d68pM6nrVPs/6uMVFxfL//3f/5l1oqUeNUtO/6bBoN27d5vLV199tVvLf9JJJ5lgsi7/Pffc4/br9uQyNISu3zPPPNN+Wd9zpWVBrcxOzdy799577bfR7eeNN96Q8847T8455xyTJatlUX/66SfzGdIgrZU525x2794tL730kvm/ZsHWFgCuXqJU3xvnjERvQpAPQKNq/juX6UyMCpbx3byr4Wh71iE0SI7pGy/fbqh4j1buy5ERydHSq6MX9AEAAHiFjIISmbvdMatcS0R2jQlr1WVCzcz89ZV9jzUzv39ChERWZvgBALAqNUd2ZBTYV8TJAxIkLKiJfdfg0cz89QdyJauwVDQO+836A3L5mBQziN8a9HmDR/WXol+WNfi+er/WWm5nVh8x7RenQQTNbrvkkktM8EqDYDpY7y7tXafBsKVLl5psLyvbSYMMetLsOGcaQNHAkQat5s2bZwJZGmTToKJmzzWEZorpc7777rvmNa1YsUIWLVpkenxpWcwZM2aYoFn1rCPNmNMAlAbytCyn3tYK8jXmMT2xbjSwpmULH374YfOcq1evNkHQF1980QTXWjLIpwE57T+ngUftz6ilH8ePHy933323nHrqqW4/jm5Pq1atkqeeekp+/PFHcwoKCjLbm/ZvO+uss+z95CIjI01w8+effzbbhN5PS6tqgFWz1m688UYT2HJHz549TalK7XuomZSJie5N1vfkMjSEBrcXLlxY4+/r16+3/3/AgAE1rtfgqQZf//a3v8mCBQtMQFLXpy7npZdeKi2hrKyiKp2qK8O1epBPP3/6uXcObnoLP5uniqrCZ5xx6c3m/PO3n2vtRfF62nhTNabhaVu2cGemzKwMIKkrx6ZIt1gGBr2JlvX694Ldsi+7yFyOCw+S6yd2ozdDG8W+CkBDvb98n2yoDCBFBgfITZO7mwyy5sS+qmGyC0vlX7/tlKLKPj4ju0TLGUM6N8t7A8CBfRV8QWFpmTw/d6fkVrbP0IkgF45M8opADBw2HcyTd5fts18+Z1iiDE2KatX9VcnWvVK8wL0eYSp4/BAJ6l014AV4Ew3EaCbW/fffLw888ID4Mi1jqeUjn3zyyRYrW9kS2sJ3q/nz58vEiRNNRu/jjz8u3oapoNUUFhXJa+98It/N+k1SDxySDlGRMmnsSLnxyoukc0JHt1bq59/Oknsfe77e2z1y180y/cSj7Zfv+ftz8uV3tdcrvvfWa+S80090axmA5qL93WZtOWy/PCI5igCfF/L3q+iR+Mr83aIzOdLzS2T+zkyZ0qv1S2wAAFrX5oN59gCfOr5/fLMH+NBw0aGBJgvAyszXkp2jUzqYEmAAgPZN+/BZAT4ttX3SgAQCfF6oX0KECcBuPFjxvev7jQfN30IC/VttmTRg5xcWLMVLN9ZZulNLdGoGX2ByQosuH9CeaRbh2LFjTQakZraFhLReiV9UpVmzMTExpkenNyLI56SoqFiuvOU+WbVukyR0jJWjJ42VffsPmKDdnPlL5J2XHpeuyfWnynbrklgleOcsNzdfZv1Wkco6cthAl7fRoGLHuJqlD3t0ZeYMWt+Pmw5JYWnFjPLQQH9q/nuxpOhQGdstRhZW9gGYuy3dlO3UQUMAQPtUWl5uDxqpbjGhMsyDM8rhWWO6dpCle7LkQG6xuTxzwwG5alxXM5kHANA+HcwtlgU7Hf2/juwZK7HhQa26TKjdiQPiZevhfNM7MaeoTOZsS2/1cRQN3AUkxUt5WrqUbN4j5Zk5IiWlIkGB4h8TJUF9Uyp6+PF9A2hxTzzxhOkD+e9//9sE+tD6li9fLl9++aXJ4GuO0qeewEivk1f++z8T4Bs+uL+8+uT9Eh5eUX7w7Q+/kCdffEvue/xf8uazf6t3pR4xbJA5ufLh59+ZIN/IoQNqDRheedFZMmbkkMa9o0Az2plRICv2VaRYq2l9OtIbxssd3SdOVqdmS35JuRSX2UyQ9uxh7tX1BgC0Pb/vyJTD+SXm/xomOmVgJwZwvFiAv5+cPDBB3lq811zem1UkK/dly8guHVp70QAArUA77uhkHe3xpmLCAk2QD94rLjxYJvWIldnb0s3l+TsyTAnu+IjgVl0uDeAFJHY0JwDeY8qUKWZfD+8xcuRIr39PWi8/3Mtow9IPPptp/n/PLVfbA3zq0vNPl369e8iSFWtl7catTXqer3+cbc5PPf6oJi4x0LLKym3yzboD9suJUSEyuisDTN5OG69P6xtfpTn7Lqfm7ACA9iOzoMTMHreM7dZBEqMpAePtesaFy+DESPvlHzcdlsISR7N4AED7oeW2NSvMcmL/BPqu+4Aje8VKh8qKOmU2MYFabx8wBnzFZZddZj5Pvt6PD2gKgnyVlq/eIDm5+dK1S6IM7Nerxoo6buoEcz7798WNXtl7UtNkxZoNEhQUKCccPanRjwO0Bu0Dk1ZZKkqdMjDBzC6H9xuVEm2CspaKmZ/8oACA9uaHjYekREeWRCQiOECO7sPMbV9xfL94Car83pVXXCa/bnUEawEA7UNJWbl851Ryu3fHcBnQKaJVlwnuCQ7wlxP7OybfbjmUb+/TBwBAUxHkq7Rx6w5zPrBvzQCfGlQZ+NtUebvG+PqHiiy+KeNHSYcox2zc6n6as0Aefebf8renXpE33/9Mtu3c0+jnBDyhsLRMZm05bL88PDlKusU6sl3h3bRvj5b6suzLLjJBWwBA+yq5vTYt1375uH4dTbY3fENMWJBM7uXo/6D9drUnEwCg/fhte4ZkFpaa/+u8j5MGJFBy24cM7BwpveIc4ygasNXALQAATUVPvkqpaRWzoTonuJ7RbP19X+XtGuObylKdp9VTqvO9T7+pcvnpV/4r551+gtx501USGOj+YMwZl97s8u+79qZKSlJnyclx9FaDa/n5jjIY7dncnTlm1rgK9BcZnxTK9uNj4gJFBsSHyoZDhebyT5sOSfcIkRB9Q+Hz2FcBqIuWr5m5zpH5lRgZJL2j/Fr8WM6+qmmGxQfK0t0BklVUZnoxfb02Vc4Z5J2N3wFfxr4K3ii3uMwE+SyjkiIk1FYkOTlFrbpcaJgp3SJkR0aBOY5nFJTK3M0HZEyXxmdjsr8C4AvYV7knKipKGosgX6X8goqB79BQ131JwkJDK26X37heVqvXb5Idu/dJh+hImTJhlMvbDOzbU4YP7i/jjhhqgoqH0jPltwXL5PnX35MPP/9OgoKC5I4br2jU8wONlVVYJkv2OcpIjEmOkKgQZv77oindo2RLeqGUlovkl5TL/D25clSP6NZeLABAM9MJHvtzS+yXj+oRxcx/HxTo7ydH94ySzzdkmss7MotlR2aR9IihryIAtHXzduVKqUaGdHwq0F/Gp1Cm0xfFhwfKiMRwWZZaMaF8wZ5cGdIpTMKCmHwLAGg8gnwt5Osf5pjzE46aZIJ1rvzhnNOqXNZsuwvOPElGjxgs5/3xNvng05ly6XnTJbGTo453XT5/+7k6M/yaEh1ub9rzuvp+W6ppDK00uDetf6IEk/3lk3QzntyrTH7ZUpHNsTy1QI7s00liw1zvk+B72vO+CoBrWgZq3u5D9ssDO0XIwC6t24uPfVXjjYiMlJUHimR7esXEw7m78mRwSkdTmhuAZ7GvgrdIyymSNQccE86n9e0o8bEdWnWZ0HjHDgiXdQd3SGFpuRSV2WRpWrGc5NReozHYXwHwBeyrmg9TRSqFh1Vk6hUWui51UFBYkekXHt7wPmSlpWXy3S+/mf+fdkLdpTpd6dOzmxw1cYyUlpXJgqWrGnx/oLH2ZBbK6v2O/j3H9I0nwOfjJvaIleiQivkdZTabzNrs6LUIAGh7tHeb1b8nwE978bk3WQzeyc/PT453eg/Tcotl5T5K8ANAW/bDpkNSOe9W4iOCZFQKAT5fFhEcUKXP7uLdmXI4jz67AIDGI8hXKalzxayZtIOuB7ytvydX3q4hfl+yQtIzsiQlubOMGDKgUW9U95Rkc37osKMGO9Dc/Xu+2+joQZkUFSLDk8kS8nXBAf4yra/jB8Wq1BxJza6YxAAAaFvyiktlzjbHd8cx3WKkY0Rwqy4Tmi65Q6gMS3J8J9MJO8Vl5axaAGiDthzKky2HKko7Kp3oEeBP9ravG9etg8SEWpNvRX5i8i0AoAkI8lXq37uHOV+/eZvLFbVuU8Xf+1XeriG+/mG2OT/1uKmNfZ8kO6cimyqslp6BgKetS8uV3ZmO4M8J/eMpBdVGDE+Olk6RjkHeHzYeMkFdAEDb8uuWdCnSRqzadzrQX6Y6zRqHb9NSbQGVJTqzi0plwc6KPn0AgLaj3GYzv9UsPWLDpF8CvfjagqAAfznWKTNfx192ZThKsgIA0BAE+SqNHDpAoiLDZffe/bJh8/YaK+rH2fPN+dSJYxq0gvPzC+TXeYvM/089vnFBvuLiEpmzYKn5/8B+vRr1GEBDlJXbqswkG9ApQnp2DGclthH+1Up9bUsvkK2HHbNDAQC+71BesSzZk2W/PLV3nIQHB7TqMsFztJ/uuO6Ocm2/bcuQ3KKKsqwAgLZh5b5sU5bZeeKtlm1G2zA4MVK6RDsm8n/P5FsAQCMR5KsUFBQkF5x5svn/I8+8KvkFjgymtz/8QjZt3SGjRwyWwf172//+3qcz5bQZN8ozr/631hX805wFUlBYJMMG9bOX3HRl28498tX3v5qAnrP0zCy5/cF/yv4Dh6R/nx4ycujAxr7XgNuW7c2W9PyKbVErgdC/p+3pEx8uPeMcPUZ1hqjOFAUAtA0/bz4s5TZHQGhsN/r3tDVTesVJWGDFz7misnKZvTW9tRcJAOAhWoZZj+UWLdOs5ZrRxibf9ne0BNqTVShr0yqqeAEA0BAVBaBhXDPjXFm4dJWsWLNBTr34ejli2CBJTTsoq9ZtkriYaHnojhurrKnMrGzZsWuvHKyjT97XP1aU6jzt+KPqXMuH0zPl7keflceef90EEmNjOsjBQ+mybtNWycsvkM4JHeXJB/7MrC20yI+J2VsdPyZGJEdLPP172hy/ymy+VxbsNpd1huiqfTkyokt0ay8aAKCJ9mYVmrJPlmP7dZRAf+b2tTVhQQEypXecmfmvNHNzXPcYvrcBQBuwcGem5BSVmf8H+vvJMX07tvYioRn0iAszlZM2HMiz99kd2CmSvosAgAbh176TkJBgef2Zh+SaS86V0NAQmfXbQtm3/6CcfuI0+fDf/5SuyYkNWrkHD6fLouWrJTAwUE6cNqnO23bvmix/OPc06dE1WTZv2yU//Pq7rN24RbqlJMl1l50vn7z5jPTo2qVh7y7ggR8TR/Whf09bpTNBhyZF2S//vOWwlJRV9G4CAPgu55n/SVEhMqhzZKsuD5qPZmjGhlXM29TMzV+2ON57AIBvKiwpk3nbM6rs62PCglp1mdB8ju0bL1YR1sP5JbJiXzarGwDQIH42G/XZ2pszLr3ZnH/+9nOtvSheLycnx5xHRTkCIW1ZQUmZPDNnhxSWVgR6JvaIkROcykeg7cnIL5Hnf9spZZWHghP7x8uEHrGtvVhooPa2rwJQu+3p+fLW4r32y384Iln6JkR4xSpjX9U8Vu3Llk9Wp9kvXzexmyRGOXr8AGgY9lVobZrNNXtbRQnmkAB/uWVKD/rqtnGfr0mT5XsrgnsdQgPlpiO7S1BA/XkZ7K8A+AL2Vc2PTD4Adjpb0ArwhQT6y+SeZPG1dbHhQTK6q6NP09ztGVJUuQ0AAHyLzt37aZMjk6t7bKjpwYq2bUhSlHSKDK4yOAwA8E25RaUyf6cji08n3oYHB7TqMqH5HdU7TgIq0/myCktNCW4AANxFkA+AkVNUKgt2ZtrXxqQesfyYaCcm94qVIP+KXxR5xWWycJdjOwAA+I6NB/NkT1Zh1fJPflYBKLRV/n5+Mq1Px6rbQaZjOwAA+I7ftmdIcVlFlZXwoACqrLQTWo61yuTbbUy+BQC4jyAfAGP21nQp0WYuIhIRHCDju8ewZtqJqJBAGef0fmtGp5ZuBQD4jnKbrUovvn4J4dItNqxVlwktZ0CnCOkS7SjR+fOWQ6x+APAxWQUlsni3I4PryF6xpsIO2ofJveKqTL51noQNAEBd+LYAwPRlW+pUDmJKrzh+TLQzmrlp/YDUkq3z+UEBAD5ldWqOHMgttl8+pk98qy4PWpZmbB7T15HNt+1wgWw/nM/bAAA+RPvwlVZOvI0KCZCxTpldaH+Tb3/fkSH5xUy+BQDUjyAfAPNjovK3hMSEBsrortGslXZG+zxMcPpBMX9Hhpk9CADwfmXlNvl1S7r98pDESEl0yupC+9CrY7j0cMre/HnLYdOnEQDg/Q7nFcvyvdn2y1N7d5SgAIbs2uPk21Cnybfzdjj6MwIAUBu+MQDtXHp+iazc5/gxMaV3nAT6s2tojyb0iJGwoIr3XvtAaNlOAID3W5WaI+kFJeb/WuXJuT8b2m823+7MQtl8iGw+APAFv251TLyNDQuSI7ow8ba9Tr6d2CPWfnnhzkzJLSpt1WUCAHg/RvKBdm6OUxZfbFigjEjmx0R7FRoYIEf2dPygWLQrU3L4QQEAXp/FN2erI4tveHK0dIwIbtVlQuvRPox948Ptl2dtJpsPALzdobxiU3bbcnSfOAmo7M2G9md89xiJCA4w/y8pt5HNBwCoF0E+oB1Lzy+umsXXix8T7d3YrjES6fSDYu42svkAwJey+Kb0ckzWQPs0zSmbLzWnSDYdzGvV5QEA1G321nSxiivHRwTJ0KQoVlk7FhLoXyWbb/HuLLL5AAB1IsgHtPMfE84lQXT2P9q34EB/mdwrzn556Z4ssvkAwEey+IYlRUlcOFl87V1ydKj0T4ioUgKO3nwA4BtZfDrx1t+PLL72bmzXDhIeVDn5tswmv+/IbO1FAgB4MYJ8QDtu7K2z/y1Te8dSEgTGqJRoezZfqZYHoTcfAPhIFp9jkgbat6N6O7aFfdlF9OYDAC9un2Fl8XUMD5IhiWTxoWLy7aSeMfZVsXh3puQVl7FqAAAuEeQD2innXnxxYUEyLIksPlQICtAfFI7yIEv2UB4EAHwhi49efLAkdwiVfgnhVUvB2axhZACA10y83ec88Zb2GXAY0zXGns1XbLL5aKUBAHCNIB/QTn9MrHT6MTGFHxOoZnTXDo5m32U2mb+T8iAA4E20tBdZfKjL1F6O3nx7sgpl6+F8VhgAeGkWXxxZfHDZm8+RzbdoF9l8AADXCPIB7f3HhMnioyQIqgoO4AcFAHhzFp9mZlnI4oMrKTGh0ifekc1Hbz4A8OL2Gb3I4kNNY7vFSFiQvz2bbz7ZfAAAFwjyAe1MRkFJlR8TZPGh7vIgjh8UC3ZSHgQAvAFZfGhMb77dmYWyLb2AlQcAXtg+YygTb1FrNp+jlcbCXZmST28+AEA1BPmAdmbe9gz7j4mYsECy+FDnD4oJVX5QZElBCc2+AaA1ldtsMnc7WXxwT9eYMOnVMcx++dcth+nNBwCtLCO/+sTbWAnw92vVZYL3Gtutg4QFOmXz0UoDAFANQT6gHckpKpXle7Ptlyf14McE6v9BEVr5g6KotFwW8IMCAFrVhgN5ciivxPxfhwMn93JkagGuHNXb0ZtvV2ah7Mggmw8AWtO8HY6Jt7Fm4m00bwhqFRoYUGXyrfbmKyxl8i0AwCHQ6f8A2rj5OzKltPLXRFRIgIzswo8J1P+DYnz3GNPHR2mQb0KPGPN3AEDLsmkW3zZHFt+gzpESHxHM24A6dY8Nk55xYbK9slTn3G0Z0jPO0asPANB8x+3ytHQp2bxHyjOyRUrLpDwgQJJL/KRbSLTsCgqVST3pxQf3Jt9qVaaisnIpLCmTDWv2yICcTPE7nKnNmiU/KFD8Y6MlqG+K+HeOEz8/MkMBoD0hyAe0E1q3ffHuTPtlnQkWFEAyL+qnQT4tCaKZfIWl5bJkd7Yc2dMxkxAA0DK2Hs6XfdlF9suTe7Evhns043N7+l7HdpRVKMkdQll9ANBMSvcdlOKlG8WWnVfl7xp66a+nojzJCAySBL8Y3gPUKywoQMZ06yB7N+6VaXmHpePhEtFcPiuUZysslrKcfCnbtV/8oiMkeFR/CUxOYM0CQDvBCD/QTmiDZq3frsKC/GV0SofWXiT40g+Kro7tZf6ODCkpK2/VZQKA9kgzsCx948MlKZogDdzTKy5MkqNDHNvSdse2BADwrJKte6Xol2U1AnzO9Jd5bGmJlM5ebm4P1GeCLV/Ozt4vHctKzPZT67aVnWe2P7YrAGg/CPIB7YBmYC106qU2vluMhFT2WQPczeYLrGwGn1tcJiv3ORrFAwCa366Mgiq91OjFh4bQsl3O28z6tFw5lFfMSgSA5sjgW7Cm/v2y0//19no/oK7tym/JevsgrjvFONmuAKD9YJQfaAcW786SgtKKzKvgAD8Z152SIGiYqJBAGeHUw1H7AZTb6po/CADwpLnbHb34useGmj5rQEMM6BQh8RFB5v96BP+NbD4A8HgPPi3R2RimtCe/r8B2BQBoBIJ8QBunZRW1vKJlTNcYU34RaKhJPWLsMwbTC0pkXVouKxEAWkBqdpFsOphvvzy5pyMjC3CXv59flZ66q/ZlS1ZhCSsQADykPC29zhKdddH76f0BtisAQEMR5APaOC2rqOUVlZZbnNiDLD40Tlx4sAxJjKzSG4rZpgDQ/H5zyuJLigqRPvHhrHY0ytCkaIkODTT/11bN83c4yrkDAJqmZPOeVr0/2ia2KwBAfQjyAW2YllOcv9ORxaflFiNDKgZ2gMY40il7ZH9OkWw97MgsAQB4Xnp+iazd78icntwr1vRXAxqj+oSvpXuyJL9yMhgAoGnKM7Kbdv9M+p6D7QoA0HAE+YA2bNPBPDmUV1GGSYcDJ9KLD02UGB0ifZ0ySDSbDwDQfBbszDD901RceJAM7OzIqAYaY1SXDhIeVPEzsLjMJgt3kc0HAB5R2sRJEyWlvBFguwIANBhBPqANm7fdEYAZ0ClCOkYEt+ryoG2Y3MuRzbcjo0B2Zxa06vIAQFulGVbL9jqyAjQDS/uqAU0RHOgv45wmfi3alSnFZeWsVABoqsCApt0/iKo7YLsCADQcQT6gjdLAy67MQvvlST1jW3V50HZ0iwmVrjGhLoPJAADPWbw7S0q0cZqIhAcFyPDkaFYvPGJs1xgJCqgIGOeXlMsKp2AyAKBx/GObdpz2j4li1YPtCgDQYAT5gDbKOfBSEZQJa9XlQduhvaCOdAoabziQJ+n5xa26TADQ1pSUlZsMK8vYbh0kOICv7vCM8OAAGdnFMRi9YGem6eUMAGi8oL4prXp/tE1sVwCA+jBSALRBh/OKTeDFQhYfPK1fQoR0DA8y/9chwfk76ecDAJ60KjVHcosrevsE+vuZIB/gSRO6x5iezepwfonp5QwAaDz/znHiFx3RqPvq/fT+ANsVAKChCPIBbdDvOzNN4EXFRwSZgAzgSdoTakIPRz+f5XuzTe8oAEDTaUbV7zscGfkjukRLRDB9euBZceHBMrBzpP0y5bcBoOkVT4JH9W/UffV+en+A7QoA0FAE+YA2JreotEpflQndY01ABvA07Q0VHlRxGNGeUUv2ZLGSAcADNh/Mk0N5Jeb/fpUZV0BzmOg0YUd7Oe9x6ucMAGi4wOQECR4/xD7p1p1CyHp7vR9Q33ZVH+ftje0KANoPgnxAG7Nod5aUlld8tYsMDpDhyTTvRvPQ3lCjuzoGB7V3lLXtAQAab94ORwnk/p0iJD4imNWJZqE9m7vGhNov/77TkUEKAGic0m6J8nlMkhwOCLKXRa6tRGfI0UdIUO8urGrUS7cT3V7qKgmr21tRWCjbFQC0M9T9AdqQ4rJyWbzLMTA4tluMBAUQy0fz0R5RWt6rzGaTnKIyWZOaY8rKAQAaRzOpdmYU2C9P6hHLqkSzmtgjVj5ckWr+v25/rmT0LZHYyr67AICGW7onWzYHhsnmmBTpU14kZ0eWiWTlipSUigQFin9MlAT1Tano4UfVHTQwoy8gKV7K09KlZPMeKU3PEiktkwKbn+yyBcqK0GjJ6xAlNybFs14BoB0hyAe0IVqmM7+k3Pw/KMBPxnTt0NqLhDYuKiRQhiVHmZ58SntIafYoP1YBoHGce/FphlW32DBWJZrVgE4REhcWJOkFJabM14KdmXLSQMrGAUBjaGWThTsrJ976+UlSnyQJ70fABZ6jv7UDEjuaU05OjvlbQECIfDV3Z0W5zoJS2XQwTwZ0cvTdBQC0baT4AG1Euc0m853Kex3RJVrCgwNadZnQ/vr5pOUWy7Z0RwYKAMB96fklsi4t12n/ShYfmp/2bh7vdCxftjdLCkrKWPUA0Ahr9+dIdlGp+X+An8g4+uqiBcSFB8vAzo6gnlbbAQC0HwT5gDZi44E8MwPbqsM+oTsDg2gZnSJDpE98uMssFACA+xbszKiYgW0Ga4JMhhXQEkYmR0tYUMVPw+IymyzZncWKB4AGstlsVYIrw5KjTeUToCU4l3jflVkouzOZfAsA7QXfNqopLCqS1975RL6b9ZukHjgkHaIiZdLYkXLjlRdJ54SObq/YE86/WvbtP1jr9V/853np1T2lxt/Lysrk3U++kc9m/iy79+6X8LBQGTNyiNxw+QXSq0fXhry3aGe0tJJFZ3DRSwUtSbNNthzKN//X8wO5RSb4BwBwj2ZOWaWP1YTuMSbDCmgJwYH+psz7nG0Vg9MLd2XKhB6xEujPNggA7tp2ON9UNnFV8QRobila5j0m1AT41O87MuX8EZR9B4D2gCCfk6KiYrnylvtk1bpNktAxVo6eNFb27T8gn387S+bMXyLvvPS4dE1ObNAKnn7i0S7/HhXpyHqxlJeXy233PyE/z10oUZERMmXCKMnIypYfZ8+XuQuWyuvPPCRDB/Zr6HuMdiA1u0h2ZBRUGRgEWlKvuDDpHBls/1GrpWNPH9KZNwEA3LRsb7bJoFKaUTWiSzTrDi1qbLcYmbc9U8psNskpKjMl54Ynsx0CgLvmO0287RsfzqRHtLhJPWNl1/JU8//1abmSUVAisWFBvBMA0MYR5HPyyn//ZwJ8wwf3l1efvF/CwytmvLz94Rfy5ItvyX2P/0vefPZvDVrBj9x1s9u31ew9DfB1T0mSt55/VOLjKgI1GuS79b5/yJ0PP2MyAAMD6bOGqnS2tSU5OkS6xoSyitDizb81m++zNWnm8sp9OXJM344SSXkaAHCrr+4ip2P5qJQOEhxAVX20LC0pNyw5yp5RqhkAw5KizDEeAFC3Q3nFsrmysonSbGigpfVLiDAl37XPs04d0++XJ/RP4I0AgDaO0YNKJSUl8sFnM83/77nlanuAT116/unSr3cPWbJirazduLXZ3oz/fPSlOf/TtZfaA3zquKkT5KhJY2TX3lT5Zd6iZnt++KbcolJZnZpjvzy+ewyDMWgVQ5KiJCqkYhKCZgEsop8PALjdVzezoNT8X6sjju3agTWHVuFcWm5/TpG95BcAwP2Jt50ig02lE6Claan3cd0cx/Jle7KluLScNwIA2jiCfJWWr94gObn50rVLogzs16vGitJAm5r9++JmeSP2pKbJtp17JDQk2JTprO74qRPN+a/N9PzwXUv2ZElpeUV5r8jgABmcGNXai4R2Svv2OP+gWLJbt01+UABAg/rqdoqUDpRVQivRfrrOA9PO2yYAwLXCkjJZ4dRXV38TkQWN1jKiS5SEVFaEKCwtl5Wpjm0TANA2Ua6z0satO8z5wL41A3xqUGXgb1Pl7dz15vufye59+yU4KEh69+gmx0wZJ3ExNWdnb9xS8bh9enaToMCab4sVeNy8dWeDnh9tmwb3Fu/Ksl8e062DCbQArUVLzP26Nd1sm3nF2s8nl34+AFCH/dX66mpGPtCadBvcll6xTW44kCuZBSUSQ+AZANzrqxvob0ofA60lNDDA9Ha2sksX7syS0SkdCDwDQBtGkK9SatpBc945oaPLFWX9fV/l7dz11Mv/qXL5iRfekLtuvkrOPOXYKn/f7/bzH3D7uc+41HU/QC37mZLUWXJyHCUe4Vp+vqOmvjdad7BAcovLzP8D/EQGxATwvqLVDYwPldUHKgYH5207LD0jK3r2of3uqwDUbu5Wx2SdzhGBEhNQIjk5FaU72xr2Vb4hMdQmHUICJKuoTLRYxLytB2VKdwas0X6wr0JD++ou2JFhvzykU5gU5edJEasRrbi/GtIxUBbuqvj/wbxiWbPnsPSICeE9AdAq+G7lnqioxv/mIshXKb+got9EaKjrg15YaGjF7fIdM63rctTEsTJ25BAZ1L+3xMZEy559afLZzJ/l3U++lvufeFE6dIiSaUeOa/Dz5+XTFwMVbDabLN2XZ18dAxPCJCK4oh8a0JpGJoXbg3xpeaWSmlsiyVHBvCkAUE1+SbmsP+j4bnlEUgSTIuAV/Xz0WP7rjooJgavS8mVCSqQE6YwyAEAV2zKKzKQIpXvJEYnhrCG0utiwQOkVG2K2T7UsNZ8gHwC0YQT5msld/3dVlctahvP2Gy6Xnt26yINPviRPv/LfKkG+5vD528/VmeHXlOhwe+ON62pXRoEJoFgm906QqChmZqH16celx658e/m51QeLpX+y6yxltP19FYDaLduaLpXVvUxf3dE94yXQv+23zGZf5f3G9wqX33fnmvJzhaU22Z5rk1Ep0a29WECLYl8Fd6za4MjIH9g5UlISKLsN79hfTerlL9uW7jP/12BfsX+IdIxg8i2A1sN3q+bT9kcR3BQeVpEpV1jouqhCQWFFBl14uKMRfWOcdcqxEhfbQXbs2it7Uw80+PkjwituByyorK+uesSGSWI0AT54j3FOPaXWpuVKdmHbLD0HAI1Vpn11dzuO5aO7al9dvprDO4QFBVTpqbtwZ6apIgEAcEjLKbL3MFXjuhHgg/fo3TFcEpyCegt3OQLSAIC2hZGESkmdE8x52sHDLleU9ffkyts1eoX7+0vX5ETz/4OH0+1/T3T7+Ts16fnRNmQVlMj6tFz75fFOARXAG/RPiJAOoRXJ4trPZ8keflAAgLN1abmSU1neK8DPT8Z07cAKgldxHqxOyy22Z+gDACosdJp4mxgVIt1jmZQN7+Hn5ydjuzm+X67Ymy2FpRXfPQEAbQtBvkr9e/cw5+s3b3O5otZtqvh7v8rbNUV2TkVwJqwye888f5+Kx92yfZeUlNbMeFlf+fx9e3dv8vPD9y3anWUCJ1at9f6dIlp7kYAqAvyrDlgv2Z0lpeXlrCUAqLRgp2NgcEhSpESGUEUf3iUhMthkAThn8wEAKuQXl8mqfRW9S62JtxpUAbzJiORoCQ2sGPotKiuXFXsd2ywAoO0gyFdp5NABEhUZLrv37pcNm7fXWFE/zp5vzqdOHNOkFa5BvB2790lYaIj06tbF/veUpM7Sq3uKFBYVy5z5S2vc74fZv5vzo5r4/PB9xWXlsnS3IytqbLcY8efHBLzQqBQtPVfxQzevuEzW7ndknwJAe7Yns1D2ZFWUYldk5MNbOW+bGw7kSUZBSasuDwB4i6V7sqSkcuZtRHCADEmMbO1FAmoIDvSXI5x66mr2aTnltwGgzSHIVykoKEguOPNk8/9HnnlV8gscAy9vf/iFbNq6Q0aPGCyD+/e2//29T2fKaTNulGde/W+VlTpnwVJZuGxVjZW9cesOue3+J0w/C+3Np8/p7JLzppvzp19+Ww5nOGbK/jRnvvw6b7F065IkR08a65l3Hj5rdWqOFJRWZEQFB/jJEV0cX9gAbxIeHCDDkqKqZK3QzwcApEpf3W4xoZIcTXkveKc+8eESF1bxm0WHshfTzwcAKvvqZlWZ3BgUwPAavJNODLdyTNPzS2TLofxWXiIAgKdRF8jJNTPOlYVLV8mKNRvk1IuvlyOGDZLUtIOyat0miYuJlofuuLHKysvMypYdu/bKwcMZVf6+Zv1meemtDyU5McGU9wwLCZE9qWmm5GZpWZmMGTFEbrlmRo0348yTj5G5C5bKz3MXyvQZN8m4I4ZKZlaOLFm5VkJDguXvf71FAgMDPL4RwHdogMR5cGW4ll4IYpuA9xrXPUaW7c02/9+XXWQyV7rGhLX2YgFAq8kpKpV1+6uW9wK8lVaLGNu9g3y34ZA9c+Wo3nEmMwAA2qsNB3Ilq7CizYoWLqGvLrxZbFiQafGiGfnW5Nt+CbR8AYC2hCCfk5CQYHn9mYfktXc+kZk/z5VZvy2UDlFRcvqJ0+TGKy+UxE7xbq3UiWNGyP4Dh2TNhi0mYJibmy8REWEycuhAOeW4KXLGSdMkIKBmYMbf31/++eDt8s7HX8vn3/5synaGhYXIsVPGyw1XXCi9e3T13DsPn6QBktScIvtl5ybKgDfSBvQ9YsNkR0aBvZ8PQT4A7dmyPdlSVtlXNzo0UAZ0orwXvNvILtEya/NhKS6zSWFpuaxKzZHRTn13AaC9WeQ08XZw50hzPAe8mU4qs4J8Ww/ny6G8YomPCG7txQIAeAjfRKoJDQmRG6+8yJzqc/3lF5hTdSOGDDCnxtDg36Xnn25OQF0/JjRw0ikyhJUEn8jms4J8a9Ny5fjCUn4IA2i35b2W7HEcy0endJCAyt6lgLcKDQwwgb6Fld9DtZ/PqJRo8aMnNIB26EBukf23jfVbB/B2On7UOTJY0nKLzWWtEHXSwITWXiwAgIdQZwXwEblFpbJ2f679Mll88BX9EyKkQ+XsVu1Nv8SpfwUAtCebDuZJdmV5rwA/kSNS6KsL3+nnYzmQWyy7Mh39ywGgPXFun5EUFSIpHeirC++nE3PGOFWCWrEvW4pLy1t1mQAAnkOQD/AR2teszFZR3ysqJIDyXvAZmqXi3KdC+/loNgsAtDeLdmXa/z+wc6REhVBUA75BS3r16hjmclsGgPaiqLRcVu5z9NXVoAlZzfAVw5KiJSSgYhjYKr8NAGgbCPIBvlLeyyn7aRTlveBjNFsloLKsV25xmWlWDwDtycHcYtmWXuAyMwrwBWO7OrbZ9Wm5klNUkZUKAO3Fyn3ZUlRWkf0UGugvQxOjWnuRALeFBPrL8GTHNrt4d5bYKieSAwB8G0E+wEfKe2VVlvfS1j2jnbKiAF8QERwogxMjq/ygAID2xHm/pz1RusVQ3gu+pV9ChERXZp+W2USW7clu7UUCgBajwRDnY/mI5GgJDmRIDb7FuWTn/pwi2ZNF+W0AaAv4RgL4gEW7Ke8F3+fcR3J7eoHJagGA9kB7nmjvE8uYbjGU94JPlt8e1dXRR5Ly2wDak50ZhaYnqatgCeArOkWGSI9Y5/LbTL4FgLaAIB/g5Q7lFcu2wwUuSyUBvkSb0idGBdsvL3YKXgNAW6Y9T7SPj1UqaVgS5b3gm7RkvFaVUFplYvOhvNZeJABoEc6/XbRHqfYqBXx98u3a/bmSS/ltAPB5BPkAL+c8s6pTZLB0j6W8F3yTNqUf4xSkXrEvx2S3AEBbL++1aJdjYHBEcpQJ9AG+KCokUAZ1dpTfJgMAQHugPUjXpTl6ijPxFr5sQKdIiQoJMP8vs9lk+V7KbwOAr2OEAfCh8l4640oDJYCvGprkGNzWrBbNbgGAtmx3ZqGkOZf3IiMfPs55G956ON9UnQCAtkzLE5fbKv4fHRpoepQCPl1+O8WRzbdkt27flRs4AMAnEeQDfKq8l6MPCuCLdDsenuwoU6fN6zXLBQDaKucsvp5xYZIQSXkv+DatKqHVJZwHBwGgrSort8nS3Y6Jt6NTOpggCdBWym9navntg5TfBgBfRpAP8FKU90JbNaarY9bg/pwi2ZNV2KrLAwDNJbd6ea9u9NVFWym/7TiWa5mv4jLKbwNomzYdzJPsyp5lGhQ5IoWJt/B9mpGqZTsti5iwAwA+jSAf4KUo74W2qlNkiPSIDauSzQcAbdHSPdlSZpX3CgmU/pT3QhsxLDlKggMqUgAKS8tlDeW3AbRRi3Y7MvK1J6n2JgXaAucJO1sO5Ut6PuW3AcBXEeQDvNSSPY7AB+W90NZof0nLmtRcySsua9XlAQBP094m2sPHMqprNOW90GaEBgbI8OToKhkAlN8G0NZoz9Fthwvsl8nIR1ui40zxEUH2y0y+BQDfRZAP8EIFJWWydn9ulbr/QFuipUEigwPM/8tsNlm+l2w+AG2LzojOKnSU99LeJ0BbzQBIzS6SvVlFrbo8AOBpi3c5fqNoL9JuMaGsZLSx8tuOUvLL92RLCeW3AcAnEeQDvNCKfdlSWl5R3ysiOEAGdHbUSgfaAm1W7zzgvWR3lsl6AYC2QvdrzhMbKO+FtqZzVIh0j3UMeC92KmkHAL5Ogx0r92VXmdigQRGgLRmRHCVBleW3C0rLq/SSBgD4DoJ8gJfRUkfOA4Mju0RLoKYAAG2Mlq6zNu2MglKT9YL/Z+8+oBs7y4SPP7a6Lcm9e3rx9D6Z9B4SEkgCoYQaytIDy8eGssBSArvAUpcOu5RAlpoEWJIA6T2TTO+9u3dLtrrk77xX7XrGM+MiW+3/O2eOdTWS5861LN37Pg1ALhjwBuVg11Bie21jsq0hkEv0FQC72we1bhQAkAtUsEMFPRQ1g1TNIgVyjdVkkOW1yde2fi0KAJA9CPIBGeZEn0+6h4KJbRYGkatKrCZZWFWc2NbPrgKAbLa1xSXx2uQym0nmVhSleY+AqbG4pliKTNH226oLxY5WN4caQE7QBzuW1Tq0WaRALlqna799st8nnYO03waAbEOQD8gwm3WBjnkVRVJeZE7r/gDTNc9HVb24YvOrACBbhSPDsrXZNSJZp5D2XshRxsJCreuEPmFHdaUAgGymghwq2DFaEATINfVOi9Q6LIntLaeS57EAgOxAkA/IIEOBsOxtT/ZAX0d7L+Q4Vd1SajNqt9UYyq0tVPMByG6HuofE5Y8mLKiWxPoACJCL9F0nOgcDckq3MA4A2WizLshR57BoQRAgV6lZk+tmJD/Lt7e6tJmUAIDsQZAPyCDqZCocy362mw3SVG1P9y4BU0pVt6xtTGbGquqXCBUAAHKkvdfiarvYLdFEBiBXVRSbZU65LbFN+20A2UwFN3a06iryZ5RoQRAgly2vc2izJxVfKKLNpAQAZA+CfECGUK2NtugWBlc3OsWgSgCAHKeqXOIv9QFfSI50e9K9SwAwIf3eoBzWvYfR3gv5Yp0uYWd3+6B4g+G07g8ATNSe9kEtyKGooMfyOhJvkfvUzEk1e3K0pDUAQOYjyAdkiOO9XunxBLXbKt6hr24CcpnDYpSmquJR51ICQDZR1cjxaWTlNpPM1lU3AblsUU2xFJkM2u1QZFh2tLrTvUsAMCH6axFV3aSCH0A+0CenqZmUajYlACA7EOQDMvBiYl5lkZTZTGndH2A66YPaB7uGxOWLzrMCgGwRjgyPmCu6doaqUqYiH/nBWFg4Yv6katmpulQAQDbpcPtHzBXVVykDua6hxCp1uvmT+tmUAIDMRpAPyACD/pDs0/U852IC+UYFtkut0blVkWGRbS1cUADILipBwe2PtihUI01W1ScDHkA+WNOYfM13DgakeSC5UA4A2UA/U1QFO+pLrGndHyCdybdqNqWaUQkAyHwE+YAMsL3VJeFYsrPDYpCFutaFQD5Q1S5rdBcUW5sHJEIFAIAsrchfXGMXuyWauADki8pis8zRtahlng+AbBIIR0a0GibxFvloRZ1Dm0WpqNmUakYlACDzEeQD0kwFMvRtENY0lIihkPZeyD+qzVf8pd/vC8mRbk+6dwkAxqTPGxzxnsXCIPKV/rW/u31QvMFodSsAZLq97YNaUENRQQ41jw/INxZj4YjXvj6JDQCQuQjyAWl2rMejLQ4qBae1OgLyidNqHFHFqm+XAwCZTJs/FrtdUWSS2bpqJiCfLKopliKTQbsdigyPqIoBgEymD2aoIIcKdgD5nrCjZlSqWZUAgMzGWQuQZpubk1V8C6qKpNRmSuv+AJkyA+CANt8qlNb9AYDzCUeGZZvus3ztjBIpKKAiH/nJWFgoqxocIwPgtN8GkOFUEEMFM+LWzUhekwD5Rs2irHdaEtsk3wJA5iPIB6SRCmDs70z2OKe9F/Ld/MoiKbFG51hFhkW2tSQXzgEgE6mEhMFAtCWhoaBAVtVTkY/8pk/Y6RwMSPNAcuEcADK9ik8FN+qd1rTuD5BJn+WqKl/NrAQAZC6CfEAaqQCGCmQoKrCxQNeqEMhHhQUFI1rWqqxBNbcSADLV5lPJhcElNcVSbI62KgTyVWWxWeboWtbqf0cAINOo4MVOXWthfXADyFeqZa2aTamoWZVqZiUAIHMR5APSRAUu9O29Vjc4tQAHkO/WNJRo8ymVfm9IjvZ40rxHADC6Xk9Qjujeo2jvBZy5SL67fVC8wWi1KwBkmj3tg1oQQ7EYCrXgBpDv1EzKFbrfBX21KwAg8xDkA9LkRK9Xer1B7bYKaKxpoL0XoDitRlmoq2qlAgBAptrWklzwqCw2yayyZPUSkM8W1xRLkSla1RqKDI+okgGATKK/1lhe79CCGwBGJq+pmZVqdiUAIDNx9gKkyRbdrDFtDpnNxM8CGOWCQs27UvMrASCThCPDI+aGrmkskQIq8gGNsbBQVjWMrAAYpv02gAyjghb6uaHrdGMDgHxX57RqMyr1ozQAAJmJIB+QBqpl0b6OwRELgwBkROBbVfQpam6lfiEdADKBatPp9kdbEKqRJStp7wWctWVn52BgxEI6AGSCrbprDBXMUEENAKN/lquq/GA42toWAJBZCPIBaaBOjlTrIqXYbBjRmhCAaPMp9S1stzYPaHMsASBT6LOZm6rtYrdEExMARFUWm2W2roXtVt0sagBIt1AkIjta9RX5VPEBp1tWZxeTymZTyeqhiOzvHOIgAUAGIsgHTDPVqki/MLiy3iHGwuhJEwAZcaEd/83o84bkeK+XwwMgI6gWwge7kosczNUFRrdWt2i+u90t/hAVAAAygwpWeIPR9yRTYYEsr022GAYQZTUaZJnud0Ml3wIAMg9BPmCatbr80jEYSGyvaaBVJzCaEqtJa9sZxwUFgEyhMv9jBflSYjXKPN17FYCkxTV2sRqjl5yB8LDsaXdzeABkBH118ZJau1hNhrTuD5Cp9MlsR3u90ucJpnV/AABnmpK+Ql6fXx548FF5ftN2aevoFJ8/IH/77Y8Tf+8eHJJnXtwiBQUFcuO1l0km8fn98j/33i9/f+I5aevslhKHXS65YLXc+e43S01VxZi+h8s9JM9u3CJPv7BJdu49KB3dvWI2GWXe7Bna//eNt75STMYzD/1nvvJd+b+/P3nW7/tvH3ufvOGWGyb1/0Nm9f2fWWqVKrs5rfsDZDI1r/JQt0e7vU/Ltg2LjQtwAGmuyNcvDK5qcGothgGcyWQolOV1Dtl0aiBxHswsagDp1u8NytGe6DWGQuItcHYzSq1SWWyS7qFg4rP8mgVjWx8FAGRpkG//oWPykc98RTq6erRFEEUF8/TsxUXy01//UY6fapWK8hLZsGaFZAK/PyDv/ujntMBcVUWZXHXJBdLa3il//tsT8syLm+XeH31NZtTXnvf7/PL3f5b//vV92v970fw5snzJQunrH5Btu/fLrn2H5NGnXpQff+PzYrNaRn2+CipWlJeecf/sGQ0p+X8ifQKhiOxqS2Yws8gBnJuaV6nmVg4FwtocSzXPcsOsM98fAWC6nOz3SU8sg1md4a7WZTcDGL39djzId6rfJ12DAZLcAKTVthaXxKd9VxSZZFaZlZ8IcBZqbVMFwh852K1tb29xyVXzy0lyA4BcDfL1D7jkQ5/6snT19MmShfPklddcKj/51R9kyOM74wPitTddK9/80T3y1PObMibI95Nf/1EL8K1c2iQ//cbnpagoOij+nt//Rb7xw1/K5772ffnFf335vN+nyGqVd77pNfKm17xS6mqqEvefaG6V93zsC7J11z756a/+KP/83reO+vx3v/m1sn71shT+z5Ap9nYMJmaRWAyFsrTGnu5dAjKamlep5la+cLw/kTVIkA9AOunn6s6tKJIymymt+wNkunqnVWodFml3+7XtrS0Dcn1T8hoJAKZTZHhYC/LFqWSd0xPTAYykrskfO9Sttat3+UNyuNujJeQCAHJwJt+v/vhXLcCngna/+fHX5I433iIW8+jVapdduFb7umPPAckEwWBQfvenh7Xbn/noexMBPkX9PxbOmy2bt++RPQeOnPd7/dNbb5OPvf/tIwJ8yqzGevnoe9+m3f7b48+m/P+AzKcWNeKW1dnFHJtRAuDs9O1z1AJhq2tk4ggATBdfMCx72wdHnVEC4NzVfHE7Wt1adT4ApINq0zngC2m3CwuibbcBnJvdYpQmXVBvqy7pDQCQfimNMDz9wmYtA0oFuAoLz/2t58xsEKPRIKda2yUTbNu1X9yDHpnRUCuLF8494++vu+Ii7auaszcZTfNna187e3on9X2QfbqHAnKiLxmcWNuYDFwAODs1t1LNAYjTz8ICgOm0q90twVhwwmYqlEU1ZDADY7GizqFV5yuqBffBriEOHIC00F9LLKgsFocl5VNsgJykHzdzoGtIBv3RYDkAIP1SejbT3NouJqNRFi2Yc97HqmCgvahI3EPJYcfpdODIce3r4gVnBviUJbHA38HY4yZzjJTK8rKzPuaxZzbKo0+/KJFIRBrqquWKi9fL3FmNk/p3kVkXEzV2s9Q7R69yBXAm1UZHzfFR1FzL65sqxWSgEhZA+j7LV9Y5xXiepDYAUTaTQRbX2BOzqVUFwBLa1gOYZirJYH9nsiJ/ra7KGMC5za8sEqfFqLXrVDlvqjL/kjlnX9sEAGRpkG94eFgMhsIx9TNXj/V4fWKzZkago62jS/taU1Ux6t/H72+NPW6i7r3vIe3rVZdccNbH/OaB6GPivv2TX8sbbrlePvXhf9KqH8fq1js+Mur9J1vapLGuRtzu6EU2zs7jSU0QOhxRff+T7QyWVllkcDB5cQHg3GbbRUyFBVoFjS8Uka0numVJVbKtcr5L1XsVgLPrHApKqys6U0xpKjNwLjVOvFflt8XlRtnVFr2tZvm0dveLwzL2axtguvBelbu2tA5JONYtuNhUKLXWCJ/lyGrT/X61pMoiG5ujFXybT/XJ8goDMy0BnBfnVmPjcDgkI4J81ZXlcqq1Q3r6+qWirPScj929/5AEgsGMqVBTAUfFepago80abRXn8Xgn/G/84S9/l41bdojDXizvfstrz/j7xQvmyMqlTbJhzXItqNjd2y/Pbdwq3/vZb+T3f/67mEwm+eSd75rwv4/0OdrnF08wot02FIgsriQ4AYyH2VAoTZVW2d0ZfQ/e1eElyAdgWqn3nbhau0mqik38BIBxmOE0S4nFIAP+sKg1dvWZftEMO8cQwLRQieY7dZ/lS6ttUjiGBHUAScuqbbKxOdpyu9cbllZ3UBqcZg4RAKRZSoN861Yt04J8f/7bE/LuN58ZxNL70S//oGV7XLhupeSDLTv2yle/9zPt//ylT96pBURP99bXvXrEtqq2u/01r5R1q5bKG97zL/K7Bx6WO95ws9RWV47p3/zzPd89Z4XfZKLD+Wayx2rvwWR7L9WaqLqceXzAeG2YbZTdnc3a7VOugAQNFikv4oIile9VAEYXDEdkf3dnYnv9zDJ+3yaB96r8tXZGSJ443KPd3tvtk2sX17LIjozFe1Vuae73SY83OUPswjmV4ijmWgK5Ybrer9Q/M6d8SI71RgPm+/tCsqhh9I5oAHDmewhrVlMlpYNE3vq6V4lKhPqfe++XFzfvGPUxqjrtk1/6tjz30lZtft+bXvNKyQRFtmilns+XbMOk5/VFK/2KisZfgXXo6An5yGe+IsFgSD754XfLNZdfOK7nz58zU668eL2EwmHZuGXnuP99pNeAL6i1JBptWDGAsZtRapVKXeXMtpZk8BwAptL+ziHxhqIV+SZDgSyro/oImOiM3XjdTJ83JMdji4QAMNW26sZnzC6zSQUBPmBC1jQkZ1nubneLLxTmSAJALgX5VDDqI//0VhnyeOX9H79b3vjeu2RwKFrG/Ym7vyVv+9C/yvVvfK/8/YnntPtUwKuupkoyQXw/OrqimaWni99fP879bW7rkPfd9UVxuQflg++8Xd5y200T2r9ZjfXa1+6evgk9H+mzvcWttSRSymxGmV1Oq05gIlQl9JqGkhG/W5Hh+G8XAEydLc3JhcFltQ6xjmNGMoAkp9Uo8yuLEttbSdgBMA38oYjsanMnttc0JoMUAMZncY1dbMbocnIwPCy72wY5hACQS0E+5V1vfo184eMflOIim+w7eFT8gaDW+/wfTz4vO/Yc0KrZ7MVF8uVPfVhef/MrJFM0zZutfd136Oiof7/3YPT+hbHHjUVXT6+891++IF09fVqV4wfe8cYJ758KEiq2s8wMRGZSAQh9xuDqhhJaEgGTsLLeIYWxEgCXPzSiShYApkKvJ5hoSXR69jKA8dN3tdjXMSjeIBUAAKbW3g63BMLR5ECLsVALUgCYGJOhUJbXJ1vu0WEHAHJsJl/ca2+6Vm646hJ59JkXZduu/VqwKxyOSGV5maxevkheceXF4rAXSyZR++WwF8mplnbZf+iYLFowZ8TfP/r0i9rXKy5eP6bvN+AelPfddbf2/W595dXyiTvfNeF9CwSC8szGLdrtxQvnTvj7YPqpRcH+WN//gliLIgATZ7cYpamqWPZ1RqvEtzYPyMKqzPo8AZBbtumSdVTLYNU6GMDEqc/tYrNBhgJhCUWGZWerWzbMKuWQApgyW5uTbf5X1DnEbEh5vjuQV1SHnZdPRs+Rmwd80uH2S42DogQAyKkgX3x23S03XK39yQYmk0luf82N8t+/vk/+/Ts/lZ984/OJOX33/P4vcvDIcVm3aqksbZqXeM5vHnhYfvunh+WayzbIR9/7tsT9Xp9fPvTJL2uz+K6/6hKtslG1mTuXoyeaZc/+w9rjzebkzKne/gH54td/JO2d3dI0f7asXr54Sv7/mBoqABG3oKpIa1EEYPIVAPEg34GuIRn0h7TgHwCkWjgyrLUGTrz/NJSc95wOwLkZCwu0yvwXjvcnWnYS5AMwVboGA3Ky35fYpiIfmLw6p0XqnRZpdfkTn+WvXJQZ45gAIB+xKqrzvre9Xl7aslO2794vr3rLB2XNiiXS1tElO/celPJSp9z9yTtHHLz+AZccP9mitePU++7//K/WmtRgKBSDwSCf+88fjHrw//1fP5K43dPbL5/+j/+Sr37vZ1ogsay0RLq6e2XvwSPajMOaqgr5xhfuYmEpi3gCYdnXEQ1EKPpZYgAmbl5FkTgsBnH7wxIZFtnR5pZLZpdxSAGk3JEej9YaWFGtglVgAsDkqfPieJCv3e2XVpdP6p1UyQJIPf34jFqHWQtOAJg81amq1dWl3d7Z6pLrFlaIsZAqWQBIB4J8OhaLWX72nbvlf+69Xx5+/Fl54rmXpMTh0KoR73z3m6S2unJc8/NUi9KHH3vmrI/TB/lmzaiXt77+1bJzzwE5dPSk9LvcYjYZtfuvvHi9vOV1r5ISB33js8mONpeEh6N9/+1mAy0FgRQxFBbIqganPHs0mmCxrdklF88qJQkCwJRW5KtWwVQNA6lRZTdrrW9PxaprVCu9+iUE+QCklmoJvKOVinxgKiyvc8g/DnRrv2eeYEQOdA7J0loS4gAgHQqGh2NRiHH6t69+LzU7UFBwRoUcptatd0SDi3++57sc6vNwu6MXBA7H+E9UfvTCCWl3B7TbqsroFU1jCxIDOL9eT0D+69kTie1/2tAoM0pteXvoJvNeBWB0qhXwN58+plUMK29dUy8LmAE6KbxX4fQg+l/2dGq3rcZCuevKOWJiThYyAO9VuWNvx6D8fntbolWwep+xmQzp3i0gZ96vHtjVngikq447b1/XkJb9AJDZ0v1elQ8mXMn3l78/qQXoRosRjnVWiXouQT7kojaXLxHgi7cxAJA65UVmmVNuk2O93kQFQD4H+QCknlqwiAf41EzdeZVFHGYghVS2/9/2d0kgPCy+UERbjF9ZzzkzgKmpyF9cXUyAD0gxNeMyHuQ72uORfm9QSm0mjjMAZEuQ79XXXykFMnow78nnXxb34JBYzCZZsnCeNk9O6ejulX0Hj4jPHxCno1iuvPiCie85kMG2tbgStxtLrFpLIgCpv6CIB/l2t7vlhkVVYjEyAwDA5KlENP1n+ap6hxSOMYkNwNioz+xltQ7ZGvtdUwk7BPkApIrLF5LD3Z7E9prGEg4ukGKzymxSXmSSXk9QVG6cOn++an50DRgAkAVBPv08Ob1P3P0tGRzyyD+95bXyrje/VuzFI7Oehzxe+dlvHpCf/e8DEgyF5Gv/9v8mugtARgpFIrKzLdn3nyo+YGosrrGLdV+Xlv2vqgD2tLu5eAeQEq0uv3QNJSvyV1FdBEyJNY3ORJDveJ9XeoYCUlFMchyAydvR6tKCDkqpzSizy+n6AaSa6s6m1rweP9SjbW9vdckV88pJjgOAaZbSkof7/vqI/OPJ5+UD73ijfOQ9bz0jwKcUF9nkI//0Fu0xf3/iObn/wUdTuQtA2qlhw95gRLttKiyQZbX2dO8SkJPU3B417DsuvkgIAJOlr+KbVWYl6ABMEa3jhS6otz3W8gsAUluR7yToAEwR9fsV73fR7w3JiVi3HQBAlgb5/vTw49qJ09te/+rzPlY9Rj32gYceS+UuAGmnMpdGVBox2BuY0gqAuFP9PukaTFbeAMBEBMMR2UVFPjCtFQD6ypvIKDPfAWA81HVBjyeY2F6le58BkFqnz67eplsTAwBkYZDv2MlmsduLtGq981GPKS62ac8BcoXbH5JDXcm+/7TqBKZWvdMqtQ59BQAXFAAmX5Gv2gArJkOBLKlJVgwDSL0V2szL6O0BX0iO9STPpQFgIvTXBHPKbVJmM3EggSmkX/va2z4ovlCY4w0A2Rrki0SGxT04JAOu87dZUY9Rs/vUc4Cc7Ptvpe8/MB30s7KoAAAwWfr2Xktr7GIxpvR0GcBpHBajLKgsHvV3EADGKxCOyO62wcQ2ibfA1GuqKhZb7Jw5GBmWPe3J30EAwNRL6arFwnmzRHVX+fE9fzjvY3/8qz9qAb4Fc2elcheAjOn7v7KBvv/AdFcAuP1hOdJNBQCAiRnwBeWIroqIhUFgeuh/1/Zp862pAAAwMfs6BsUfjlbkWwyF2ggNAFPLZCiU5XXJ7hck7ABAFgf53nDLDVqg4zcPPCyf/cr35FRr+xmPaW7rkH/76vfkN/c/pM1geOOtN6RyF4C0aR7wSfdQcNTqIgBTp9hs1DIH47igADBRO1rdiYp81dprZtn5W9ADmLwFVcVSFJtjHYoMy+7283eGAYDzVuTX2sVsoCIfmO6EHTUXs3sowIEHgGliTOU3e9V1V8hLW3bKX/7+pPz1kae0P7XVFVJdWaH9fWd3j7R39mi3VTDw1ddfqT0HyLWLidllNikvou8/MJ0XFCrzX9nfOSSeQFiKzNHFQgAYC3Vuul33Wb5KqxKOlQkDmFLGwgKtMn/jif7EefX6GaUcdQDj0u8NyrFeb2Kbinxg+tQ5LVJjN0vHYCDxWX7dwkp+BAAwDVKe0vSlT30D8edmAACe+UlEQVRYPnnnu8TpKNYWS9o6umXHngPaH3Vb3eewF8nHP/RO+fKnPpzqfx5IX99/Xc9xLiaA6TW/sljssaBeeHhYdrVRAQBgfFTGcY8nWpGvQnurdNnIAKbeal0XjJYBv3QO+jnsAMZFn6xTUWSSGaVWjiAwTVS3Nv35845Wl0TUTCcAQHZV8sW95XWvktfffL28sGm77DlwWHr7BrT7y8tKZGnTfLlo3UqxWMxT8U8DabFf9f0PRfv+mw0FsoS+/8C0MsQqAF44Hq0A2N7qkg2zqAAAMLGK/DnlNim1UZEPTKdap0XqHBZpc0eDe9tb3PKKJgs/BABjooIJ6hogTgUbVNABwPRZWe+QRw92S2RYxO0Py5Fuj9aSGwCQhUE+xWw2yZWXrNf+ALlum+5iYmmtQ8xG+v4D001V0MaDfK0uv3S4/VLjYHEQwPkFQhHZo6vIp4oPSA/1u9e2vytRAXDNggotkQcAzudkn1f6vCHtdkEs2ABgehWbjbKwqlgboRFfKyPIBwBTj0gEkIq+/z30/QfSrdpukQanZdSqHAA4l32dg+IPRyvyLcZCWUxFPpAWK+ocYohV3gwGwnK4O7pICADnoz/3n1dRJCVWKvKBdNCPr9nfMSSeQJgfBABMMYJ8wCSpliDDur7/M+n7D6SNvvpmZ5tbwqpPCACMY2FwWa1dzAZOkYF0KDIbpKk62daLhB0AY6FGZ+zpGBw1yABgei2oLJZis0G7HR4ell3tbn4EAJBN7Trf/dF/G/dzVI/0//n23ancDWB6+/63JE9Y6PsPpNfyOof840C3hCLDMhQIy8GuISpyAJxTnycox3qpyAcyhVqc3xtbrFef4+rzPL5YCACj2dPulmA4mtxnNRaOSBYAML1Um23VLjc+SmN7i0s2zCzlxwAA2RLk27R9z5geFx9+PDw8zCBk5EDf/2Cy738dff+BdLKZDLKoulh2x2ZrqQoA2u4BOF9FflxlsUkaS6wcMCCNVJs9h8Ugbn9Y1Jr9zjaXXDSrjJ8JgDF9lqukPxMV+UBarap3JoJ8rS6/dLj9UuNIjtYAAGRwkO8D73jjOf/ePTgku/Ydkh17Dkip0yFvuOV6MRjIykT20rcQmqv6/tvo+w9kQgVAPMh3qHtIBv0hsVtS+nEHIJcq8nULg2pBIp6MBiCdFQBOee5YX6ICgCAfgLPpGQrIiT5fYptWnUD6qYBevdOiBfjia2c3LKpK924BQM6a1iBf3Etbd8r/+7evydETzfKtuz+Ryl0AprXvf7yVkMLFBJAZVMDdaTWKyxcSNZJPzea7eDYVAADOdKLXK/3eULIiv54ZPkAmWKUL8rW7A9Lm8kmdkypbAGfSJ+tU281aYAFA+qk1slZXl3ZbXZNft7BSS+QBAKReoaTBhjUr5JMffrc8/uxLcv+Dj6ZjF4BJ29vhloCu779qEQgg/QoLojMA4lTWoGoPDQCn26ZbGJxfGU0QAJB+VXbziNa523QzsAFgZEV+8v2Binwgc6jWucZYUE/N11VzdgEAORTkU2646lIpLCyUBx56LF27AKSsVSd9/4HMslpXjdM5GEi0CQGAs1Xkr2qgig/IJPouGbvaXBJS5fkAoHOsx6N171BULGGFLtEPQHrZTIYRyfD6NTQAQI4E+SwWs9isFq1lJ5Bt6PsPZLaKYrPMLNVXAHBBAWCk3e1uCcYq8m3GQmmqoiIfyCTLau1iilUAeIIROdiZDMoDwOnn+Asqi8XBHG4gYxN2DnUPyaA/GpQHAORIkK+jq0cGhzy0UENWou8/kG0VAGoxP5LW/QGQWbZTkQ9kNKvJIItr7KO21wUAbzAs+zqHRj33B5AZ5lYk2+GrgvwdbbTfBoCcCfL5/H758rd/ot1eMHdWOnYBmDD6/gPZYWmtQ0yGaAWALxSRA8wAAKCryD/Z70scD1p1AllQAdDlETcVAABidrcPJtr4FpkMsoCKfCDjFBYUyEpdG12VZDc8TPttAEi1aDpFivzol78/598HAkFp7+yWFzZtk37XoBQUFMjtt74ylbsATLmj9P0HsoLFWChLauyyo9WdaOezrJY5HQBGVgRV281S77RwWIAMNLvcJqVWo/T7QqKWBHe0uuTSOeXp3i0AGVaRv6LOIcZYe18AmWV1vVOePdqn3e4cDEiryy8NJcnRGgCADAzyqcDd+aisjcLCAnnv214vN113eSp3AZjWiwn6/gOZXwEQD/Id6faIyxdKtAsBkL8V+Tta3CPeJ8Zy/gogTRUADU55+khvImHnktll/M4Cea5rMCDNA8mKfFp1ApmrotgsM0utiS4a6rOcIB8ApFZKVzrXrlwiBXL2RRKDwSBOR7E0zZ8t1191icxqrE/lPw9MOfr+A9llVplNymxG6fNGKwDUPM3L51IBAEi+V+THWv6ppH+V/Q8gc62qTwb5uoeC2sL+jFJbuncLQBqpIEFcrcMitVTkAxlNBeLjQb5dbW65vqlSTIa0TJACgJyU0iDfL/7ry6n8dkDG2d3upu8/kGUVAGpx8MnY4qCqxL1sDhUAQD7bdlpFvt1CdS+QycqLTDK7zCbH+7yJz3KCfED+CkeGtda9cVTxAZlvaa1DHt7fJcHwsPhCEdnfOSTLSbQDgJQhbQKY4MLginr6/gPZYFWDM3G7xxOUU7EMQgD5WZGvFhXiWBgEsoP+d3V3+6AEw5G07g+A9DnS45HBQFi7bSgQAgVAFrAYC2VpjX3UtTUAQIYF+dRMvnt+/5cxP/5/73tQew6QDToH/dIy4E9sszAIZIdSm0nmlCfbenFBAeQv1R4oFFHNe0WKzQZZWFWc7l0CMAZLauxiVqv5IloFwL6OQY4bkKf05/JN1Xbt8xxA5tOvoan2+QPeYFr3BwBySVqDfL/+41/lx/f8IZW7AEzLxUSd06L1/geQfRcUe9oHJRCiAgDIR2ouZ5xqEWRQQ/kAZDyzqgCoTc7P3Kb7XQaQP4YCYTnQmQzyr6pnri6QLWaV2aTMZtJuq5S77a3udO8SAOQM2nUCY+z7v1N3AqJmfAHIHotr7FqLEMUfjsg+3eIAgPxART6QOwk7x3q80k8FAJCXFfnhaEG+2M0GmV9JRT6QLQoKCmRVg2NE8t3wcOwXGgCQvUG+AfegWMzRLA4gkx3uHtL1/S+QFQwIBrKK2VAoy2qZAQDkMyrygew2s9QqFUX6CgCq+YB8s13XXWdlvZOKfCDLqIT5eB+NXk9QTvb70rxHAJAb0hbk+8eTz8uQxyu11ZXp2gVggn3/i6WIvv9AdlcA9Hqlz8MMACBfK/JXU5EPZGkFQPKzfHuLWyJUAAB5o93llza3P7GtrwgCkB1KbSaZU24bda0NADBxxkk8V+69769y730Pjbivr98lN9z+/rM/aXhYXINDWoBPXahdftG6yewCMOU8wYgc7BoaNVAAIHs0llilstgk3UPR4J6qALhqfkW6dwtAGiry1Tw+ANlnZb1DnjjUo1Xy9XmDcrLPK7PLi9K9WwCmgX4WZ0OJRartFo47kIXUmtrRXq92e0+7W25cVKXN3gUApCnI5x70SGt754j7wpHIGfedzYY1K+T9d7xhMrsApJzqCR7p6JXgoWYp6OkXcyAk74wUSKfBLAedpTJXl3UEIMsqAOqd8tihnkSQ74p55VJYEG8YAiBXUZEP5IYSq0nmVRRpgfuZQZ+EX9gpnkhQJBQWMRqksMwppgWNUlhTrn3uA8gNodMr8km8BbLWohq7WPZ1iT8UkUB4WPZ2DI6o1AcATHOQ7+pLL5D62irttuqU8rmvfV/sxUXyyQ+/66zPKSwolOJimyyYM1NmNNRJpvH5/fI/994vf3/iOWnr7JYSh10uuWC13PnuN0tNVcW4Zw7+6Be/kyeee1m6e/uksrxMrrlsg3zgHbeL0zH6gOhwOCz/e/9D8qeHH5dTLe1SZLPK+tXL5EPvvF3mzp6Rov8lzibU2iWBLQdk2BWt3FNLA2YRKVd/wkFZ1D0kgYf7RdY2ibE++toHkD3U7I7HYxUA/d6QnOj1ypwKKgCAXDYUCFORD+SQi6xhuaK/WSrC0cp89ZkeF3Z7JHyyXQqcxWLmfB3IGYe6hsQTjFbkGwsLZFktFflAtjIbCmVZrV22NLsSyXgE+QAgjUG+pvlztD9xKshntZjllhuulmzk9wfk3R/9nOzce1CqKsrkqksu0KoS//y3J+SZFzfLvT/6msyorx3T91JtS9/6wU/JyZY2aayvkasv3SBHjp+Ue+97UJ57aavc+8OvSolz5IlpJBKRf/n81+XxZ18Sh71YLr9orfQNuOTRp1+UZzdukZ99525ZvnjhFP3vETzSIoGNu895ILRFBNeQ+J/cKsMXLhPTvAYOHJBFnFajzK8skkPdnkTbH4J8QG7b1eaWcCwK4LAYtCogANl7vl63Y592W/1an61WTyXscb4O5GZF/qLqYrGZDGndHwCTo6px40G+431e6fUEpbzIxGEFgAlKadPjnU89IE888HPJVj/59R+1AN/KpU3y4L0/kG984S75zY//U+764Dukt9+lBTHH6mvf/5kW4Lv28gvlr7+Ofq8//fK78ubX3iTHT7XKf/7gF2c8R1XvqQDfrMY6+b9ff1++dfcn5Bf/9WX55hc/Ll6fXz71pe9ISLWiwdRU8J0nwCenLSSox6vnAcgu+vY+e9sHxcf7KpA3C4Mr6pxiKKSFH5AL5+tj+U3mfB3IfoP+kBzqjnbaUWjVCWS/xhKrVBYng3pqlAYAYOKYbBoTDAbld396WLv9mY++V4qKknPX7njjLbJw3mzZvH2P7Dlw5LwHtaunV/72+HNiMhnlM//vfWI0JrPM/uUDd0h5qVMeevRp6enrH/G8X/3h/7Sv/+/9d0hleWni/uuuuEiuvGS9FjR88vmXJ/Hjxtlm8KkWnROhtfZUvWoBZI2FVcViiw32DkaGZU/7YLp3CcAUaXP5pd3tT2yzMAhkJ87Xgfy1o80tkeFkV465VOQDWU/NzV1Vn0y+3dHikghrawAwYQT5Yrbt2i/uQY/MaKiVxQvnnnGgVKBNefqFTec9qM+9tE1rvblmxZIRwTrFbDbJFRevl3A4Is9u3Jq4v7mtQ46eaNbanao2nad7xRUXa1+fGsO/j/GJdPQmZvCNl3qeej6A7GEyFMryumS75O26Kh8AuUX/+60yhqvsatIugGzD+TqQvwF+/Wf5ynqHFBZQkQ/kgpX1zkRVfr8vJMd7vWneIwDIw5l8K6+6Tfs6Z2aD/Pme7464bzzU+dn2J+6XdDtw5Lj2dfGCMwN8ypJY4O9g7HHnEn/MkrN8LxVEVK059d/rwOHo7flzZorJeOaPJR54PHTkxBj+NxiP4KHmST/fUFvBQQeyiKrmefnUgHb7ZL9PeoYCUlHM4j+QS0KRYdnZ5k5sr9K16gWQXThfB/JTq8svnYOBxPZqXeUPgOymKnPnVxbJoW5PosU+lboAMM1BvniLQn2rwom1LcyMLKy2juhstZqq0YM18ftbY49LxfeKP05pH/O/3yljdesdHxn1ftX2s7GuRtzu5MJXPivo6Z/UqzDUO8CxBLKMvWBYKouM0u0JadsvHeuWy2Ylq/uyjccTvTACkHSwxyeeYHSWserQO8cufF6nGe9VmCjO1zGdeK/KHC8fT1bxNThMYo74xa1rww3ku2x/v1pUbk4E+fZ2uOWKPptYYqM1AOSObH+vmi4Oh2P6g3w/+87d2lebxXLGfdnI4/VpX63W5P9Hz2a1Rh/n8absew3pvtfYnxN9HFIoHJnc80PRBUQA2TUDYFm1TZ46Hk122NPllUtm2mn/A+SQ3Z3J86wF5VYWDIBsxvk6kJcV+fu6kp/l6twdQG6ZV24Rq7FAfKFhCUVEDvT4ZEVNUbp3CwCyzoSDfOtXLRvTfUifeBvVs1X4TSY6nEs8JqMM+5ItQMar0GySIo4lkHXWz7bJMyfcEhkWGQxEpCtgkPmVxZLNeF8Hotz+kBzvb08cjvWzK8ThYMEgU/BehfHifB3pwHtVeu1uc4s/HO0WZTIUyNrZVSTsADn4frWizpcYpbGvJyCXzK9J9y4BSJF2l1+q7OaceK/KdNRAxxTZopVyPt/orR+8vmgFXVGRLWXfq1j3vcb+nOjjkDqFZZPr619YyhsUkI3sFqMsrEoG9dQMAAC5YWdrNICvlFiNMqec7H8gm3G+DuSfba3Jc/MlNXYCfECOWq2bm32q3yfdQxNPwgeQOQLhiPx8U7N88+lj8uQxl3iCk+ykh3MiyBdTV1Olfe3o6hn1QMXvr489LhXfK/44pXbM/371ef99jI9pQWNanw8gfVbVJy8o9ncOiTc2vwtA9lIzovVB+5X1TlrxAlmO83Ugv7h8ITkSm9N1ehAAQG6pc1qkRlfps53kWyAn7O8YFH8oIkOBsOzs8ArjNqcWQb6Ypnmzta/7Dh0d9UDtPRi9f2HscecSf8zes3yvfaN8r6b50duHj52UYCh01ucsmDfrvP8+xqewplwKnBNr0aeep54PIDupSr5isyEx92NXW3RGH4Ds1eryS5cuA3h1AxX3QLbjfB3IL9tbXRIryJdSm1FmlVGRD+SqgoICWaUL5O/QOnLE3wEAZKvtrcn1taZKq5gNhKEycibfyqtuS8kOFBSIbH/ifkm31csXicNeJKda2mX/oWOyaMGcEX//6NMval+vuHj9eb/XpRtWS2FhoWzduVd6+vqloqw08XeBQFCefmGTGAyFctmFaxL3N9bVyNxZjXL0RLM88+IWueayDSO+5yNPv6B9vXIM/z7Gf0JhXtsk/ie3jvvQqeep5wPITobCAllR55AXT/QnFhQumJl8zwaQffRVfLPKrFJelMwMBpCdOF8H8qsiX1/JozpvFHLNDeQ0dU3+6MFurd2+yx+t5F2gG60BILv0e4NytCdZkb+smmSdqVY4mROv1PyRjGAymeT219yo3f737/xUPN7oDDzlnt//RQ4eOS7rVi2VpU3zEvf/5oGH5dVvu1O+89Nfj/heVRXl8sprLpVgMCT//u2fSiiUbP/2rR/fI739LrnpuitGBP+Ut7/hZu3rt398jxYcjHvsmRflqec3ycyGOrnqkgum4H8PY32VmC9cNq4DoR6vngcgu+mzBlsG/NI5OPpsVACZLxiOjKjIpb0XkH/n6/rLS87XgeyjZnL1eIKjnqsDyE12i1HrshOnkm8BZC9VkRs/Jy+3maTBYUrzHuW+CVfy/ew7d0uued/bXi8vbdkp23fvl1e95YOyZsUSaevokp17D0p5qVPu/uSdIx7fP+CS4ydbpKun74zv9ck73609T1UA3vz2O2Vp03ytFaf6M6uxTj7xoXee8ZzX3HiNPLtxizz+7Ety89s+LBvWLJf+Abds3rFHrBazfOWzHxWjMdpWDqlnmtcgBTazBLYckGHX0DlbdKoKPgJ8QG6odVi0OQBtLn+iCuj6JgL4QDZSszV9oehAb7OhQJbU0KoTyLfzddVjI1hsE/sFizlfB7K8In9OuU3KbCwMAvlAJeepc3lFffUGw2IzsQYKZGVFvi5Qr5J16IKXwUG+9avGV/WUDSwWsxa8/J9775eHH39WnnjuJSlxOOSWG66WO9/9Jqmtrhzz9yordcpvf/yf8sNf/F77Po8/u1Gr3HvLbTfJB9/5JnE6ziw7Vy0+v/nFj8u99z0of/7b41rbTpvNItdefqF86F1vknmzZ6T4f4zTqcCdoa5SIh29EjzULKHeAZFQWArNJiksdYhpQWN0JgjtQoCcsrreKW2uLu32zla3XLugUmvlCSC76Nt7Lamxi4Xp3kDOn69H+t0iwZC4wyLNYpTtVqfYGyvljXTcALJOIBSRPe2DiW0q8oH8saCyWIrNBhkKhCUUGda6czBKA8g+J/t90huryFeraivrHSKhZMdETI2CYRVeRV659Y6PaF//fM93070rGc/tjrb8cjioBABymScQlm88dUzCsY/EN6+uk6Zqu2QL3qsAkQFfUL799PFEW5B3rm+Q2eVFHJoMwnsVptLBriH5362t2m1DgchdV86VIjMVABg/3qvSZ0erSx7Y1aHdthgK5a6r5ojZMOEpM0DOy7X3q7/v75IXT0THFzU4LfLei2ame5cAjNOfd3ckqvLnVtjkjnWNOfdelYk4WwIA5D21CNhUXTxqmyAA2df3X7X2mlXGcG8gn8yrKBJ7LKgXHhbZqZvPCSA76M/Bl9baCfABeUZfvdvi8kvnYHSkBoDs4Ncq8t0jumZheky4Xee5qOLAx57ZKH97/FnZe+CI9PYPaPeXl5bIkqZ58sprLpNrLtugtacEACBTLij2dgwmqgFUmxDVLgRA5lPnnvqFwVUNDlprA3lGtdleWe+U54/3Jdr3XjirNN27BWCM+rxBOdbrTWzTqhPIPzUOi9Q7LdLqigb31Pn99U1V6d4tAGO0r2NQAirbTkSsxkJZXJM9HbKyXcqDfG0dXXLXF74hu/cf1rb13UBbO7qkrbNbHn/2JVmycK42f66+tjrVuwAAwIQqABwWg7j9Ya0CQM0AYHEQyM6+/6vIGATykgoKxIN8bW6/tLv8Uuu0pHu3AIxzrm5FkUlmlFo5bkAeUufxra6uRKeOaxdUaok8ADKfPvF2Wa1dTLTcnjYpLaVzDw7JOz/yWS3Ap4J7K5culPe+7XXy2Y+9T/ujbq9a2qT93Z4DR+RdH/2c9hwAANJNXTisqEu2EqBlJ5A99L+vcypsUmozpXV/AKRHld0sjSXJwACf5UB2iAwPy/ZWfUW+k4p8IE8tr3OIoSAa1FPddQ53s24MZAOVdHu8zzvisxxZWsn337++T6vWK3Ha5eufv0suXLti1Me9vHWX/MsXvq5V/f33vffLx97/9lTuBgAAk64AaHf7pc3llzoqAICMFqDvPwAd1a63ecCn3VZz+a5rqhQjFQBARjvR65V+b0i7TUU+kN+KzAZZVF0se2KjNFTCTlM1Lf+AbKrIryw2jUi8Q5ZV8qk2nAUFBfJvH3v/WQN8ygVrlmuPic7uezGVuwAAQMoqAPQnKQAyk5qlSd9/AHHLah2JoJ4nGJZDXVQAAJlum66Kb15lkTitKZ8sAyCL6CuADnQNyVAgmgQAIDsq8lUCvYoRIUuDfB1dPWIyGuXayy8872OvuWyDmE0m6ezqTeUuAACQsgsKVQEQiiRnywLIPPT9B6BnMxlkcXXxqO8RADKPLxSWve3Rip34wiCA/DavokgcFoN2W12Oq+tyAJnrWK9XBnzRYLzKtVtZz2d5Vgf5nI5iMZtNUlh4/m9rMBi0x6rnAACQKZbX2kdUABykAgDImr7/qxtK0ro/ADKDPkhwqHtI3H4qAIBMtad9UIKxpDqbsVCaqlgjAvKdobBgRJCADjtAZtP/js6vVEF6KvKzOsi3atkiGfJ45fiplvM+Vj1mcMgjq5cvTuUuAAAwKVZVAVCT7PnPBQWQufS/n1XFZmkosaR1fwBkhjkVyXZ/VAAA2fNZvrzOISZDSpepAGSpVbogX7s7IG2u6LxdAJnFFwxrIzTiVlPFlxYpPXt695tfK0ajQb787Z9KIBA86+OCwaD2GPXYd7/ltancBQAAJm11vSNxmwoAIDv6/qtWu/T9B6AUFhTIKt1nuQoiqHnwADJL91BATvb7Rm2bDyC/VdnN0lhiTWxva6FlJ5CJdrcPJsbcFJkKZWF1MmkeWRrkW7povnzjC3fJ3gNH5HXv/n/yp4cfl5a2TgmGQtofdVvd9/p/+hfZd/CofOuLn5AlC+elchcAAEhJBUCJvgKglQsKIPP7/icX9AFAXwHQORiQVpefgwJkcBVftd0s9U4q8gGM3n57V5srEUgAkDn086+X1zkT428wvVLaIHXlVbclbqu2nV/4+g/P+fh//uxXR72/oEBk+xP3p3LXAAAYVwWAmgHwzNFebVtVC108u5QqISBDLybmVxbT9x/ACBXFZplVZpUTfb7Ee0aDriIAQPor8nfoEunUYj4V+QD0ltXa5W/7u7TgnicYkYOdg7KklsQ+IFN0DQakecA3amAeWVzJp1qgpOZPKvcKAIDxW92QvHigAgDILN5gWPbp+/5zMQHgvBUAbgmGIxwnIEMc7fGIy5+syF9Rx8I9gJGsJoMsrkm2/ttGhx0gYxNvax1mqaMiPzcq+X72nbtT+e0AAEib8iIqAIDs6PtvkIVVxeneJQAZaEmNQx7a1yXB8LD4QhE50DkkywgkABm3MKg+x+2WlC5PAcihhB2VqKMc7h4Stz9EBw8gA4QjqiI/+VnOXN30SulZ1PpVy1L57QAASPsFRbzNl7qwuL6pUkyGlBbBA5jkDB+V+U/ffwCjsRgLZWmNXbbHMv9VUIEgH5AZFfn7O4dGnaEJAHpzym1SYjVqs7hVjp9q83vpnDIOEpBmR3o8MhgIa7cNWkU+n+XpxEolAADnqAAwq7MVkUQFAID0ou8/gIm27FSLEQO+IAcQSDOVPBevyC82U5EP4OwKCwpGJAKoZD816glAZlXkq89zpA9BPgAAzlEBsEQ/A0B3EgMgE/r+W6SWvv8AzmFmmU3KbCbttloSVBUAADKrIt+ghvIBwFmsakjO7OwaCkjLgJ9jBaSRJxAekQSvT6pDekxZ0/PO7l45eOS4uNxDEgpFhymfzc03XDVVuwEAwKSok5V4m694BUCJNbpYCCC9ff+5mAAwtgoAhzx5pDcRXLhsTpkUFBBUANKhc9AvLa7kAj2f5QDOp7zILLPKbHKiz6ttb2t1SWOplQMHpMnONreEYxW1drNB5lcW87PItSDfvoNH5avf+5ls371/TI9X11YE+QAAmV4B0OcNJioALp9bnu7dAvLS4e6hEX3/l9cls3oB4GxWNTjlqSO92ud4jycop/p92uc7gPRW5Nc7LVLjsPBjAHBeKiEgHuTb3eaWG5oqxWSgQR2Q7or8lfVOKvJzLcinAnzv+MhnxOcPaP2RzSaTlJY4xGigJysAIDtRAQBk5sJgU7Wdvv8AxqTUZpI55TY52hurAGhxEeQD0laR7x4RgAeAsVBjNB7e1ymB8LD4QhHZ3zlEwh+QBu0uv7S5/aO200WOBPm+97PfiNfnlxn1tfL5uz4g61YtlcJCsioAANmNCgAg/YYCYTnYRd9/ABOvAIgH+Xa3u+WVi6rEbORaFZhOh7qHtM9zxVBQIMtrWRgEMDYWY6EW6IuP0lAJO3T1ANKbeNtQYpFqOxX5mSClVzXbd+/TZht84wt3yQVrlhPgAwDkVAXAaCc1AKbHLq3vf/S2w2KQeRVFHHoAY7aoxq4tECqqCmBvxyBHD0hje69F1cVSZKbrE4CxW91Qkrh9tMcjA94ghw+YRqHIsDaPL/k7SUV+Tgb51LxFm9UiixfOTeW3BQAg7fTthPa0D0ogFEnr/gD5Rh9cX1FH338A42M2FMqyWntie3srCTvAdBoKhOQAFfkAJmFWmVXKbCbttsr926ELNgCYeoe6hsQTjFbkGwsLZBkV+bkZ5JvRUCuhUFjC4egPGwCAXLFYVwHgD0dkXycVAMB0aXP5pV3X95+MQQAToX/vONbrlT4PFQDAdNnZ6paIviK/kop8AOOjusfp53+pJMBhVXECYFroE28XVxeLzURFfk4G+W654WoJhkLy5PMvp/LbAgCQcRUAtOwEpo/+962xxCpVdjOHH8C4qfePyuJoBYBCNR8wPdQivP6zfGW9UwoLCjj8AMZtVb1T4u8evZ6gnOz3cRSBaeD2h7TZunEk3uZwkO/2W2+QC9eukLu/8WPZvnt/Kr81AACZVwHADABgWvr+72pLLgxyMQFgUhUA9c4R88EiVAAAU67N7ZeOwUBim89yABNVajPJnApbYpvkW2D6K/JLrEaZU0FFfiYxpvKbGQwG+f5XPi3f+OE9cseHPyNrViyWZYvmS5Et+eY7mg+8442p3A0AAKa0AqB7KJhYHLxqfgVHG5hCBzsHxROMzsA0aX3/kxW1ADBeqoLo8UM92iyffl9ITvR6WaQAppg6Z46bUarOp6nIBzBxq+udcrTHq93e0+6WGxdViTk2WgNA6lGRn2dBPuXFLTvl6Rc3az/8rTv3aX/OhyAfACCbKgAeO9STaPN1xbxy2g0BU2hbq67vf41drPT9BzAJTqtR5lcWyaFuT+I9hkxkYOqEIhHZ2eZObOuraQFgIhbV2MWyr0v8oYgEwsOyt2NQVum67gBIrZYBv3QN6Svyk7MxkYNBvi079so/f+arEolEs61n1NdIRVmpVuEHAEDOVQB4Q3KizytzymlTAExZ3/+u6EK8QnsvAKmg3kviQb697YNy4+KwWI1cswJTYX/nkHipyAeQQmZDodbdY0uzK9GykyAfMD2Jt7PKbFJeREV+Tgf5fnzPHyQcDsvSpnnyn5//F5lRX5vKbw8AQEZUAMyrLJLD8QqAFhdBPmCK7Gh1aQF1pdRqlNnl524BDwBj0VRdLDZjoXhDEQlGhmVP+6CsbSzh4AFTYGtsEV5ZUktFPoDUJezEg3zH+7zS5wlKWZGJwwukWCAckd26inyq+DJTShsW7z14RGtl9tV/+38E+AAAOUtfTaQqAHyhcFr3B8iLvv8NTlrjAkgJY2GhLK9LthnSv9cASJ1+b1CO9iQr8tc0EEwHkBqNJWq+ZzKop0ZpAEi9fR1qzSvatdFsKJAlNbTqzPkg3/BwRIqLrDKrsT6V3xYAgIyySFUAmKIfoaoCYHfbYLp3Ccg5p/p90j0UTGyvZoYPgClK2Im+3yTnjABIDRVAj1fkVxSZZFaZlUMLICVUkYl+xuf2FpdEhuPvOACmoiJ/Wa1DLMaUhpOQIin9qcyZ2Sg+f0ACgeSCDAAAuVgBsKIueUGxtXkgrfsD5KItut+rueU22u8ASKk6p0Vq7Ml5IlTzAamlFtv1v1cqsK4W5QEgVVbWOyX+rtLvC8kxXeUwgMnrGQpo7XDj1jQm18GQw0G+1998vYRCYXnw0adT+W0BAMg4+pObFpdf2t3+tO4PkEtUC9w9HckK2TXMygIwFRUAumo+NQM0HKECAEgV1aZzwBfSbhcWyIjfNwBIBafVKAurihPbW2m/DaSUPlmn2m7W2uQiD4J8t77yarn5+qvkq9/7mfzt8WdT+a0BAMgotQ6LNDgto7YwADA5qgVuMBxdbLcZC7UWuQCQaivrHWKIlQC4/WE53D3EQQZSRL/YvqCyWBwWI8cWwJQm3+7rGBJPIMxRBlJAJb/pZ11SkZ/ZUnqW9W9f/Z6o7gsmo1E+9eXvyH/99F5Z0jRPiots58ygvPuTd0qm2LZrn/z01/fJzr0HJRgKybxZjfKm19woN99w1bi+z54DR+TpFzbJC5u2y9ETp8TrC0hFWYmsW7VU3vmm10jTvNlnPKelrVNuuP19Z/2eFeWl8tSffjGh/xcAIPVWN5ZIy95O7fbONpe8oqlCa+UJYHK2tiRbda6od4jJwO8VgNQrNhtlUbU9UTmsghJN1XYONTBJapF9f0cyaE57LwBTRSUR2M0GGQyEJTw8LDvaXHLRrDIOODBJKvlNJcEpKilOtcdFngT5/vL3J7Wg3XBs0GlrR5f2ZzTxx2VSkO/Rp1+Uj3/xGxKJDMvalUukrMQpG7fslM985bty8OgJueuD7xjT91EtS29/713a7RKnXVYuXSQ2q0X2Hz4mDz36jDzy1Avy1c/+P3nFlRefNZh3yQWrz7jfUVw0yf8hACCVltfZ5R8HurSKI28woi1mLKtzcJCBSehw+6VlINn+dk1DCccTwJRRwYd4kO9gl1rMCFFxBEySWmRXi+2KWnxXi/AAMBUMhdH2288d60t02LlwZikzQIEUVuSrJLhis4Fjmi9Bvldff6UUJEaeZpcBl1s+97XvSzgckW9/6RNy7eUXafd39/bLHXd+Wu75/V/kiovWyfrVy8b0/ZYtmi/vedvrtOcYDNFfgkgkIt//+W/lv399n/ZvrV+1TMpKz4yCz5nZIP/+rx9J8f8QAJBqVqNBltbYZXurW9ve0jJAkA+YJH3r23qnRWp1bXEBINXmVhRJidWozQ5TI/m2t7jksrnlHGhgglQy9zbdZ7nK/FeL8AAwVdbognydgwEtYbCxlNlhwESppDeV/Kb/HUMeBfmyOTB1/4OPyeCQR6669IJEgE+pLC+Vj73/7fLRf/uaFugbS5DPaDTIb3/y9TPuLywslA+/+81axeDxky3yzMbNcssNV6f8/wIAmD5rGksSQb6jPV7p8walzGbiRwBMQCgS0bL/k79fXEwAmFqFBQXajJGnjvQmspYvnVNGBQAwQa0uv3QMBhLbfJYDmGoVxWaZVWaTE33eROt/gnzAxO1odWnJb4pKhptXSXfBTJe2ASeqqu2p5zfJRz7zFckEKuCmXHdFMsAXd/lFa8ViNmutO/3+5MnqRKj2pAvnztJud3VHs0wAANlrZqlVKoqSQb1tupYGAMZnf+eQ1vpWMRUWyPJa2t8CmHoqyBevM+r1BBOLhADGb2tzcq7urDKrVBabOYwAptxaXXLgrja3+EPRawoA46/I13fXUe1wVVIc8qiSbyxONLfKAw89Jn/9x1PS05c8+Uu3g0eOa1+XLJx3xt+ZTCaZP2em7DlwWI43t0rTvNmT+rea2zoSs/dG09PbLz/4+W+lq6dPHPYiWb54oVx1yXptPwAAmUUlb6gM5UcP9iSCfFfOK+ckCJgA/cXEklq7WE30/Qcw9UptJplXUSSHezza9pZml8wuJ2MZGK9AOCK72qMzLhXm6gKYLotr7GLZ16UF9wLhYdnb4ZbVzPYGxu1kv096PEHtdkEsGQ6Zb1qCfF6fX/7x5PPyp4cek+17DiSiwsrcWY2SbqpNp3swekFXU1Ux6mPU/SrI19beNakg39ade2XvgSNiMhnl0g2rR33MsZMt8uN7/jDivrqaKvnmF+/SAn5jdesdo7dPPdnSJo11NeJ2R9vL4ew8nujrAgDOZb6zUB5Tn20i4vKFZPepHplTNn1zxHivQi4Y8IXlSGyBXVlUZuJcJcfwXoVMtrjCnAjyqYXBy/tsYjWmrfEN0oj3qonb0+lNVM+YDQUyo3iYz3JgCvF+NdKiCovs6IhW42860addpwMYn5eO9SduzywxizHkE7fbx3vVNHA4HJkZ5Nux54AW2PvHUy+Ix+tLBPfmzGyQV1x5sfZnQax1ZTrF902xWkZflLXZovcPebyTCiZ+7mvf126/7fWvlqqKkQPdzWajvPGWG+T6qy/Rgp9qXw4fOyk/+dUf5dmNW+R9d90t9/3sW1JfWz3hfQAApF6x2SDzyi1yuNevbe/q9ExrkA/IBbs7kwG+MqtBGp10MAAwfeaXW8RmLBBvaFhUjGJfl09W11HNB4yHOgeOW1RpFbOBBXYA02d5TVEiyNfiDkqPJyQVRdPexA7IWipR50BPdF1LWV5jS+v+YOxS/k7X2z+gteL808OPaxVp+qo91dLstz/5uixtOrMl5mT982e+KkdPNo/rOf/x6Y+MqzJuMsLhsHzqS9+WE81tsnzxArnzXW864zEq6PfZj71vxH0rlzbJD7/2Wfnkl74tDz/2jPz3vffL5+/6wJj+zT/f891zVvhNJjqcbzhWAM7nglkFcri3Tbt9pNcvhRabFJun94KC9ypkq8jwsOzt7k5sr51RKk4nbUFyFe9VyFSrGvzy4olo9vLebr9cvrAm3buENOK9anx6hgLS7Iq291I2zK4Uh8Oa8p8LgDPxfhVltw9L7bFBaXdHgxQH+kNyfU0ZLxlgjA6cGpBQJBrHsZkKZdXMSjGlMGGH96qpk5LVRxXEU5VmKrD39IubJRyOaPdZLWa56tINcssNV8n7P373lLbnbGnvkOOxoOJY+XwB7WuRLXni6fP7xW48M2PT641+QBQXTSyC/aVv/UQ7NrNnNsgPvvrZcc/Xe89bb9OCfC9s2jahfx8AMLXmVxaLw2IQtz8s4WGRHa1uuXg2FxTAWBzt8ciAL6TdLiyIDvcGgOmmZuzGg3xtbr+0unxS7yRIAYzF1pbkXN1qu1kaSuhqAWB6qeKSNQ1OeXh/l7atrsmvWVApRnWBAeC8trYMJG6vqHOmNMCHDA7ynWpp0wJ7f/nHU9Ld06cF9tQb6urli+Tm66+S66+6ZMJBsfG672ffnvBz7cVF4rAXaXP5Orp6tO3TqfuVutqqcX//b//kV3L/g49KbXWl/Pc3vyBlpeNfuJrVWKd97erpG/dzAQBTz1BYoAUmnj0afZ/e2uySi2aVap+LAM5tS3NyYXCBFjCnrQ6A6Vdtt8iMUquc6vclPsvrlxDkA84nHBmWHa3Jz3K1yM45MIB0WFHvkEcOdmvVSEOBsBzsHJQltXQyA86nw+2XlgH/iOQ3ZI9JraDc9JYPaSduKrjXUFetBfZeff2V0liXfW1NFs6bLVt27JW9B4/IvNkzRvxdMBTSZuNZzGaZ3Vg/ru/789/8SftTXlYiP/3mF7RA30QMuIe0rzYrF5kAkKnW6IJ8Xapl0YBPZpTSwxw4l6FASA50Dia213IxASDNn+XxIN+uNrdc35TaNkVALjrcPaR1s1AMBWqRnYVBAOlhMxlkcY1d+wyPVxkT5APOTyW3xdU7LVLroCI/m6TkauUtt90k//er78kH3vHGrAzwKZdfuE77+ujTL57xd8+8sFn8gYBcuHaFWCzmMX/P+/76iFbF57AXy0++/nmZM7Nhwvv3WGy/Fi+cO+HvAQCYWuVFZplTbhv1JAnA6FQbHdXiVlEtb1XrWwBIl6W1DjGrKIUa5RCKyN6OZBICgPO36lxUbZdis4FDBSBt1upa/x/u9siANzkvFMCZQpGI7GjTVeSTeJtfQT6zyaRV8f3mgYfl6tveLV/+9k9kx54Dko1ue9W1WpvOJ597WR57Jhno6+nrl2/9+Ffa7TveeMsZz3v12+7U/sTbecY98tQL2hw+Ne/vh1/7rCxaMGdMQcGjJ5rPuF/tz3d++mvt9ptufeWE/n8AgOmrAIjb3e4WfyjCoQfOQp1H6oPhK+udWutbAEgXi7FQltcl23qRsAOcm9sfkoNd0c5DCguDANJtVrlNymwm7bbKJdymaycM4Ez7O4fEG4yuXZkKC2Q5LW7zq13nEw/8XB589Gn500OPyYEjx+UPf/mH/PH/HpGZDbVa685XveIKqasZ/wy7dChxOuTuT94pd33hG/Kxz31d1q9aqt23cctOcQ8OydvfcLOsX73sjOcdP9mifQ2Foq0p4oHBT3352xKJRKShrkb++NdHtD+nu/rSDXLNZRsS2w899ox88Rs/0lqHqhl8auHryPFTciz2b7zz9lvlmssvnKIjAABIBdUaxLqvS8v+D4SHtUDf2sYSDi4wCtXSVrW2HS1IDgDpsqahJDEr9HifV3qGAlJRPPaOLkA+UbP4IrGK/BKrUeZWFKV7lwDkucKCAi3h4PFD0YKMbS0uuXxuuXY/gDPpk9qW1NrFaqIiP6+CfE5Hsbz5tTdqf/YdPCr3P/So/O3x5+REc5t8/+e/lR/84reydsUSedUrrpRscN0VF8kvv/tl+cmv/ig79x6UUCgkc2fNkDe99pVyyw1Xj/n7+HwBCQZD2u1DR09of0bTUFs9Ish326uuk7ISpxw4fFxe3LxDfP6AlJc65drLL5Q33HKDXLRuZQr+lwCAqaTm9qyoc8jLpwYSFxQE+YDzX0zMLrOxiA4gIzSUWKTabpbOwUCiFeF1Cyc2Wx3Ip4r8VQ1OFtEBZIRV9U554lCPVsnX7w3JsV6vzCMJAThDvzcoR3s8I5LdkGdBPj01K+6zC98nn/jQu+SRp1/Qqvs279grm7bv0b7GvbBpu1xx0ToxGjMzIrx6+WL58dc/N+bH73r6T2fc11BXPer95/Oq667Q/gAAspvKGowH+U71+6Rz0C/VdoYWA3qqla2qdNX/3gBAJiiIVQD8fX+3tr29xSVXz6+gnTBwmhOq0tUTnXWl6mNWU5EPIEM4rUZZUFWcaCe8tXmAIB8wCpWYHivIl4oik8wqs3Kc8m0m32jMZpMWqPrZd74kD/3mh/Ket71OqivLE1leH/vcf8oVt75DPvuV78kzG7eMaHMJAEAuqHNapc6RDOoxzwc40552t9bSNj4DS7W6BYBMsbLOKYZYW6/BQFgOdSdnjgGI2qyr4lMVMvEZWACQCdbqkgj3dQyJJ8AaNKAXGR7WgnxxKllHJbsh+6Q8yKfXWFcjH373m+WRP/xUfvi1z2ptJw2GQm3G3V8feUo+/K//IVe+5h1TuQsAAKSFvipJzSoJRaJDjAFExeddKarFrdkwpaelADAuRWaDLK4pTmyTsAOMpBbL97YPJrbXzqC9F4DMsqCyWOzmaCe58PCw7GhLXn8AEDnc7ZEBX3TkWGFBtO02stO0rKaoCPClG9bIt+7+hDx+38/kXz5wh8yd1aBV9rkHkz1fAQDIFcvrHGJSZ0lqESQY0TIHAUS1u/3SPOBLHI41XEwAyEBrGpNBC9XuyxVbBAEgsr3VpS2aK2oRvakqGRQHgExgKCwYEbRQCTtqLRpA1ObYmBllUbVdHJaUTXbDNJv2lOmyUqfc8cZb5E+//K78+gdfkdfceM107wIAAFPOZjLI0lr7qCdPQL7bovt9qHdapL6Evv8AMs+ccpuU2qKLHcOxoAaA6CiWLc0DI9p7qcV0AMg0+mTCzsGAnOpPJhoC+WzAF0zMrDy9vS2yT1r7Iq1c2iRf+PgH07kLAABMmXW6tkXH+7zSPRTgaCPvBcIR2dHmThyHtbpKGQDIJIUFBVrwIm5r84A2uwTIdyf6fNI9FBy16hUAMklFsVlL2onbrEtQAPLZNlXZGrtdZjPK3IqiNO8RJoPhJwAATJHGEqvU2M2JbX3GM5Cv9rS7xR+Kzqg0Gwq01rYAkKnWNJRoM0qUPm9IjvYwbgLQn9POqyiS8iITBwVAxlqnS0TY0z4o3mA4rfsDpJtKWtva4hqRrKOS25C9CPIBADCFM2n1VUrbW1wSDEeDG0C+2nwqeTGxos4hFiOnowAyl9NqlIW6WWO030a+8wTCsrdjMLG9jvZeADLcoppiKTIZtNuhyLDsaE12FQHy0eFujwzEZk2rZDZ95wpkJ1ZVAACYQivqHWKKlQB4ghHZ35nseQ7km3aXX5oHfKO2tAWAbKgAONA1JK7YogiQj3a0urRFcsVuNkhTdXIGNQBkImNh4YgghkrYUbNFgXylT1pbVG0XhyU6gxrZiyAfAABTyGYyyDJdO0IqAJDP9DMwGpwWqXNa07o/ADAW8yqLpNQaXfxQsY2tLbTfRn5Si+JbmpMV+asanGKI97MFgAy2Vld13DUUkJP9ycRDIJ8M+IJysGto1N8NZC+CfAAATDH9SdPxPq90DwU45sg7gVBEdrYlW+OspYoPQJZQM0rUrJK4rc0ubZYJkG/UorhaHI9jYRBAtqgoNsvccltim+Rb5KttzS6Jn8WW2Ywyt6IozXuEVCDIBwDAFGsssUqN3ZzY5oIC+Wh3u1v8oehMSouhUJbVJitcASDTrWl0ajNLFDXDRM0yAfKN/hx2boVNyouS57cAkOn0owLUbFE1YxTIJypJbWtLsiJfJbGpZDZkP4J8AABMsYKCghFVS2qWSTAcDXYA+ULf3mt5vUMsRk5DAWQPNaukqao4sU3CDvKNWgxXi+KjzaoEgGygZogWmw3abTVbdHtr8voEyAcqSU0lqykqeU0/qxLZjdUVAACmwco6h5gM0QwpTzAi+3SLJECua3f5pXkgOfeChUEA2V4BoGaZDHiDad0fYDrtaHNpi+KKWiRXi+UAkE2MhQUjghpbmge0WaNAvtAnqS2qtmtJbMgNBPkAAJgGVpNhRHvCzbqqJiDXbW5OXkw0lFikzmlJ6/4AwESomSVlNpN2Wy0J6tsdAblMLYJvOZV8va+qd2qL5QCQbfSzRLuHgnKiz5vW/QGmy4AvqCWpxTFXN7cQ5AMAYJroq5fUxUTXYIBjj5wXCEVkZ6s7sb2W9l4AspSaWaJfENna7JJwrLIJyGWn+n3SNZQ8b2VhEEC2UrNE51UUJbZJvkW+2Nbs0pLUlDKbUUteQ+4gyAcAwDRRFUy1DvOI9iBArtvV7hZ/bAalmsO3XFfRCgDZRrX5inXfFpc/JIe6kxnRQD5U5M8tt0lFcfJ8FgCyzTpdws7e9kEZCoTTuj/AVIsMD4/oQLGmsURLXkPuIMgHAMA0KdAqAJLVfGrQdzAW/ABylT6YvaLOIWYjp58AspfdYpRFNfZRZ5sAucgTCMue9uQs6bW62ZQAkI3UTFG72aDdDg8Pa9flQC473O2RAV9Iu626betnUyI3sMoCAMA0UkEOU6wEwBuMyL6O5KIJkGvaXH5pGfCP2rIWALKV/r1MLZr0eYNp3R9gKu1oc0ko1pa22GyQRdXJIDcAZCNDYYGs1lXzbTk1oM0eBXKVPimtqapYHBZjWvcHqUeQDwCAaWQ1GUa0K9S3PwJyjf713VhilVqnJa37AwCpMEe1KywyabfVkuBWPsuRo9Sit35hcFW9U4yqBAAAstzahhKJv5v1eIJyvNeb5j0CpsaALygHu5Lt5ddRkZ+TCPIBADDN9C07T/T5pHMwWekE5Ap/KCK7Wt2J7bW6bFkAyKX221ubXRKOVToBueRYr1e6h5KVqutm8FkOIDeUFZlkXkVRYpvkW+SqLadcWlKaUmozylzd6x65gyAfAADTrKHEIrWOZEXT5lPMAEDu2dXmFn9s5qTFWCjLdBWsAJDtVjU4xVAQrQEYDITlgC5DGsgVm3RVfPMri6S8yJzW/QGAVNJXNKkxGoP+6MwyIFeodttbdB0nVMv5wtj5K3ILQT4AANJQAbBed0GhBn2rqicgl9p7vXyyP7G9qt4hZiOnnQByh5pNtqSmOLGtb2kI5AKXLyT7O5Ozoy+gvReAHLNQm01m0G6Hh0W2tZB8i9yiPsdVMpqi2m2v0XWiQG5htQUAgDRYXufQqpsSbQ3bkm0NgWx3qt8nHYOBxPb6GaVp3R8AmOoKgCM9HukZSr7vAdlOZf7Hu9CWWI2yoCoZ1AaAXGBQQY+GkhEJO5Fh2m8jd2w6mUxCW1pr15LUkJsI8gEAkAYqwLeqPjnXRFU9qeonIBe8rKtomVNukyo77b0A5J5ZZTapKjaP2toQyGbh09t7zaC9F4DctHaGUwpj3Qv7fSE5RPtt5IjOQb8c7/MmtvXdpJB7CPIBAJAm+pMsVfWkqp+AbKdmWextT1am0t4LQL6031ZtvgKxWaRANlMzJt3+aHsvQ4HImoZkYhoA5JISq0madJXK+mRFIFeq+OocFmkssaZ1fzC1CPIBAJAmqrpJVTnFcUGBXLC1xaXNtFDUjIumanu6dwkApszKBoeYVRRERHy030aO2KSbq7ukxi52izGt+wMAU+mCmcnRAoe7ab+N7KdGwuxoTSberp9ZoiWnIXcR5AMAII30VU6q+klVQQHZSs2wULMs4tY1lmizLgAgV1mNBlmpa7+tsqZpv41s1jUYkKO9uvZeusVvAMhFKvG2stiU2Kb9NrLdzjaX+GPdJazGQlle60j3LmGKEeQDACCNVJWTqnZSVPWTqoICstXBriEZ8EUD1Sq2t5a+/wDygL5lZ5vbL80DtN9G9tIn61TbzTKzlPZeAPKh/XYyoWE77beRxVSymb5V56p6p5iNhIByHT9hAADSSFU5qWon/cKKqoYCstHLuouJxTUqgE17LwC5r8ZhkVlltlHfC4FsEghFZHura0QAm/ZeAPLBqvpk+21vKCK725KtDoFscrLfJx2DgRGtOpH7CPIBAJBmqtop3tFQVUGpaigg2/QMBeRIj2fUVrQAkOsu0C2g7GkfpP02stKudrc2W1JRi936VrQAkMusJoOs0L3nvXyK9tvI/rm6c7VWtOa07g+mB0E+AADSTFU7qaqnOCoAkI02ndbeS1/VAgC5bvGI9tvDtN9Gdrb30n2WqwCfhfZeAPKIPkmxzeWXlgF/WvcHGK9Bf0j2dgwmtpmrmz8I8gEAkGEXFKoaSlVFAdkiEI7INt08Sdp7AcjH9ttrab+NLKYWs9Wi9mizJgEgf9pvJ+eQvnwqWREFZIOtLS4Jx6a/qOSzpqridO8SpglBPgAAMoCqelLVT3H6TGog06mZFfr2XivqHeneJQCYdirIR/ttZKuXdO29ZpZatcVuAMg362eUJm7vbhuUoUA4rfsDjFVkeFg269aR1jWWaEloyA8E+QAAyAAFBQUjMqa3t7i06iggG9p7qZkV+vZeVmO0ZR0A5BOn1ai17Yyj/Tayhdsfkj3t7sT2BTOTi9wAkE/UGA27Wdd+u5nkW2SHA51DMuALabdVbG+NrsMEch9BPgAAMoSqflJVUIo3FJFdbcnFFiBTNQ/4aO8FADEXzBzZfrub9tvIAltODYxo77VENysaAPKJkfbbyIGKfJV0ppLPkD8I8gEAkCFU9ZOqgop76US/ViUFZLKNJ/pHtJ2lvReAfHZG++2TVAAgs4UiwyPaxKtWdbT3ApDP1s5wJtpv9/tCcrBrKN27BJxTh9svx3q9ie0LZ1GRn28I6Z5m26598tNf3yc79x6UYCgk82Y1yptec6PcfMNV4zqwf/7bE/JvX/3eWf/+hqsvla9//l9G/bvDx07KD3/xO9m8fY94vD6Z0VArr73pWnnLbTdJYSFxWQDIZRtmliYWWjoGA3K81ytzKorSvVvAqFy+kOztGExsczEBIN/F228/tK9L297e6pKrF1SIxch1HDLT3na3DMZmTqkKlnUzkglnAJCPSqwmaaoqln2dQ4nk20W6dtxAJlfx1TktMqPUmtb9wfQjyKfz6NMvyse/+A2JRIZl7colUlbilI1bdspnvvJdOXj0hNz1wXeM+wA3zZ8tTfPnnHH/isULR3389t375T0f+7z4/AFZvniB1NdWy5Yde+U/v/9z7e++8YW7tAtHAEBuqrKbZX5FkRzu8WjbG0/2E+RDxtp0ql8isWLTUqtRuxgGgHynqvIfO9gj/nBEfKGI7Gh1MeMMGeslXbXpslq7FJtZJgIAlbwYD/Id7fVqlVJ0LEEm8gTCsqM1OerlwpmlxA7yEGdvMQMut3zua9+XcDgi3/7SJ+Tayy/S7u/u7Zc77vy03PP7v8gVF62T9auXjesAX33pBvngO28f02NV5eCnvvwdLcD38Q+9U97+hpu1+z0er7z3ri/KI0+9IH/5+5Ny6yuvHt9PGQCQVTbMKk0E+dTw5D5PUMqKTOneLWCEYDgim0+5EtvrZ9LeCwAUVbW3usGpJerE2xqvm1EihSRrIsM09/u02br6jhIAgGj77VqHWdrdgUSl1M1Lazg0yDhbmge01ttKsdkgy+qoOs1H9AyJuf/Bx2RwyCNXXXpBIsCnVJaXysfe/3bttgr0TaXHn3lJWto6tOq/eIBPKSqyyac/+p5p2QcAQPrNryySilhQT52qvXwq2XoByBS7293iCUbbe5kMBbK2kfZeABC3YVaJxPuv9HiCcqQ7mrwDZGp7r5mlVqkvob0XACiqi5p+FIGqlFIVU0AmCZ82V3ddY4kYGfWVlwjyxTyzcbP29borkgG+uMsvWisWs1lr3en3RzM4psKziX24+Iy/W7JwnjTW12jz+lraOqdsHwAA6acy/S/QZVJvbXaJPxRJ6z4BesPDw1plStzKOofYTAYOEgDElBeZZaGuhbH+PRPIBG5/SPa0u0d0kgAAJC2rdWiVUYqqlFIVU0AmOdA5KAO+kHa7sEC0zhHITwT5Yg4eOZ4Ipp3OZDLJ/DkzxR8IyPHm1nEd4L0Hjsg3f/RL+eI3fiQ/+PlvZdP23Wd97IHYPixeOHfUv1+8IHr/waPRxwEAcpdq82UxRD+m4/N8gExxos+XaF2jsDAIAGe6SBc0UW24uwanLmEUGK/NpwYkHJur67QYZXE17b0AQM9kKJS1jcmgycvqfTM+kBzIABt1c3WX1tjFaWUyW77iJy+itel0D0bbp9RUVYx6oNT9ew4clrb2LmmaN3vMB/jpFzdrf+J+fM8fZN2qpfL1z9+ltQLVa+voPvc+VFdqX1vbu8b0b996x0dGvf9kS5s01tWI253M2sPoPB7a6gBIn6XVVtnaFn0fevF4rywqLRx1gDLvVZhuzx3pS9yeVWIW23BA3LqgHzAa3quQbypMw1JVZJQuTzTD+tnDnXLdPDKsM10+vFdp7b10rTpX1FjFMzSY1n0CMH758H6VbkvKDfLcMREV23P5QrLtRLc0VdLaGOnXORSUE33exPbyKnPGrvXzXjU2DodDJopKPvVC8yYHTVstllEPlM0WvX/Ik/zlOZeqijL54Dtvlz/+z7fkxYf/V5780y/ke//xaZkzs0E2b98jd37q3yUcDo+6H7az7YM1er9njPsAAMhuq2uLErd7vWE53k8QBemn2oEc7vUnttfUJV+nAIAklZijf4/c0+XTqvOBdDvY45OhYPS1aChQQT4+ywFgNHazQZoqkkG9rW1DHChkhHhCuFJrN0md3ZTW/UF65Uwl3z9/5qty9GTzuJ7zH5/+iCxfvHBK9ueSC1Zrf+LsxUVy5SXr5YLVy+SN771Lqwr8x5MvyI3XXiZT5c/3fPecFX6TiQ7nG44VgPS894gsrPLKwa7ohcTOLr+smFl5jsfzvo6p92Jrt8Sb1JTbTNprUs2RBMaK9yrkk/VFxfLsySHxBMPaPJ8D/RG5dA7VfNkgl9+rduxJVvEtr3NITTmvSSCb5fL7VSa4dJ5J9nWf0m63uIPijpikvoRqPqTPUCAk+7s7EtuXzCkXp9OZ8T8S3qumTs5U8rW0d8jxky3j+uPzRSsiimzJN2afP5mZruf1Ru8vLrJNaj+Limzy5ttu0m4/v2nbyL+L7Yf3bPvg8ye+BwAgP1yom+dzqNsj3UNU8yF9AqHIiIHzF8wqIcAHAOeZ57NuRnLR5eWT/czzQVo19/ukeSDZzYi5ugBwbo2lVmnUBfU26todA+mwpdmlJY/Fq02X1BLoz3c5U8l338++PeHnqio7h71Im8vX0dWjbZ9O3a/U1VbJZM1qrNe+dvck59lo37umUlzuQe3fGm3uX0dndGZffQr2AQCQHeaW26Sq2CxdseCeWhy8cXF1uncLeWpHmzvRas5sKJDV9ZmfLQgA6bZ+Rqk8d6xPm+ejWh7v7xyUpSzGIE1ePJFch5hZapV6J9UoADCW5Nv7drZrt3e3ueW6hZXisOTMsjqybq5uMvF23YwSMRbSWSff5Uwl32QtjAXV9h48csbfBUMhOXzspFjMZpkdC9BNhgrk6WfsxcUDe/sOHh31efsORe9fOPfMACAAIHfn+egzrLe1uMQXHDnTFZgOw8PD8tKJZNbq6ganWE0GDj4AnIfTahwR1Nuoey8FplO/Nyh7O6LrEcpFunNMAMDZLamxizMW1AsPi2w+lQyyANNpT7tbXP5QYq6uCvIBBPliLr9wnfb10adfPONV8cwLm8UfCMiFa1eIxWKe9Ksm/m8sXjhvxP2XJfbhhTOeowJ/za0dMn/OTGmoo4IDAPLJyjqHWI3Rj+xAeFi2trjSvUvIQ0d6PImKUuWCmSwMAsBYXah7zzzZ75NWXbtEYLqoAHOsu5eU2UyyqMbOwQeAMTAUFsj6mclgyqZTAxKKRDucANOZePuCLllsWZ2DilJoCPLF3Paqa7U2nU8+97I89kwy0NfT1y/f+vGvtNt3vPEWOd2r33an9ifezjPuf+69X/r6XWdUBP7ol7+XR556QawWs9z6yqtH/P01l2+QhroaOXD4uPzqD/+XuN/j9cm/f+enZ90HAEBuMxsLZW1jyYgFGtWiAZhOzx9PtvdaWFUklcWTT3wCgHya5zOjlHk+SB/VCWJrs2tE67nCAtp7AcBYqWvyeFvEoUBYdrUlK6OB6XC8zyttLn9i++JZZRx4aGgeHFPidMjdn7xT7vrCN+Rjn/u6rF+1VLtv45ad4h4ckre/4WZZv3qZnO74yRbtayg0snXaf/33vfKje34vS5vmSW1VpQx6vHLg8DHp7O7V2n5+5bMflZqqihHPMRmN8tXPflTe87HPy9d/8Av5x5PPS11NlWzduVe6evrkuisukltuuOqMfQAA5D61EKNmqMTn+ahWS8vrGK6M6dHu8svRHm9i++LZXEwAwESq+U71J+f5XLugUmvlCUyHLS0u8YejVSeqQ4Rquw0AGLtis0FW1DkSnXVeON4nq+od2ogNYDqo11zc3Aqb1DpHjgJD/uKKQkcF0X753S/LT371R9m596CEQiGZO2uGvOm1r5RbbhhZdXc+77/jDbJjzwE5fqpVa7U5PCxaUO/1N79C3vb6m2XOzIZRn7dq2SL57U++Lj/8xe9k0/bdWlXfjIYaecftt8pbX/cqPjgAIE+pRUAV1NvR6k5UVS2rtfO5gGnxwonkxUS90yKzy2wceQAYp8Vqno/VKC5fSJvn89LJfrluYSXHEVNOdYDQz9VV83sssVbwAICxU8mO8SBf52BADnd7ZEFVMYcQU65rMCAHuzyJ7UtIvIUOQb7TrF6+WH789c/JWO16+k+j3v+hd71JJkrN3fvW3Z+Y8PMBALlJtWKIB/lUi4bjvV6ZU1GU7t1CjhvwBWVXW/R1F7+wJVsVACY2z0dV5j9yoFvb3nxqQC6fW06wBVNOdYBQnSAU1WluA3N1AWBCquxmaaoqlgNdQ4nKKoJ8mA6qs1Nctd0s81gLgg6pWwAAZAnVikF/IqefkQZMlZdODGhtYpUSq1GW1Ng52AAwQWsbnYmgni8UkS3NAxxLTKnh4eER7b1UZwjaxALAxOlHFxzt9Uqry8fhxJQa9IcSCd/R12ApibcYgUo+AACyiDqZO9LjUSs24m/tkQFXhxgG3KoPk3hMRiksc4ppQaMU1pRz0odxLwJGOnoleKhZIn0ukVBYho0GqQoWykyzQ06arFoFiqpEAQBMjNVokHWNJYlEnY0n+rWqKt5bMVVO9KkFaP+IzhAAgImbVWaVBqdFWmLvrS8c75fXrajlkGLKvHxqQEKxzFu72aAl7AB6BPkAAMgiqpJvdWFA1vR0SEU4KBIdB6AZ9gUk7PZI+GS7FDiLxby2SYz1VencXWSJUGuXBLYckGFXtO2M3kL1xzcovQaTVBpK07J/AJBLVMLExhN92lw+1UJxT7tbVtQ7071byFFq8TlubrlN6wwBAJg4Nbrgkjll8ocd7dq2+hy/dkGFlNpMHFakXDAckU0nk50fNswqFWMhzRkxEq8IAACySOhoq1zb2awF+GIdFEelgjX+J7dK8EjLNO4dspF6jajXymgBvjj1WisPByXyzDZeUwAwSapVoj4D+/nj/Vo1NZBq3UOBxNyo01vMAQAmblG1Xcps0doZVWClKvOBqbC91S2eYFi7bTIUaB0hgNMR5AMAIJuqrTbulnizxLE0TVSPV88DzvWaOh/9a43XFABMnj7Y0u72azN9gFR7UbfoXFVslvmVydnOAICJU222L9S1P1Yzdr2xQAyQKpHhYXlRN1d3db1TiswGDjDOQJAPAIAsoDL8VTvFidDaMFIhAF5TAJAxahwWWaALuDx/LLmAA6TCUCAs21uSfd0vml3KvGYASKHVDU6xGaNL64HwsBboA1LpYNeQ9HiCicRb9VkOjIYgHwAAWSDS0XvOdornop6nng/wmgKAzHGJrprvSI9H2l3+tO4PcsvLJ/slpHrIiUix2SArdC1iAQCTZzEWyvqZydaJqmVn/H0XSPVc3UXVxVJeZObAYlQE+QAAyALBQ81pfT5yD68pAEiv2eU2qXNaEtvP69oxAZMRCEXkpZPJhcELZpaIycDyDwCk2gUzS8VQEB1u4PaHZXebm4OMlGju98mJvmQ7d+bq4lw4ywMAIAtE+lyTe34/FxvgNQUAmaSgoGBENd/udrcMeKMtmYDJiM6Gimi3zYYCuWAG7b0AYCo4LEZZWe8YkbDDqAykwrPHkt2YZpRaZWaZjQOLsyLIBwBANghNcoh3MJSqPUGu4DUFAGm3pMYupTajdlt1+Nqoq74CJkK1invhRPJ1tG5GiRSZDRxMAJgi+gqrzsGAHOr2cKwxKZ2DftnfmRzXctmc5GsMGA1BPgAAsoFxkoszpugCIsBrCgAyh6GwQC6alVy42XLKJd7gJBN7kNd2tbnF5YsmdxkKZMTrCwCQelV2syysKk5sP3s0WYEFTMRzx5It3KvtZlmge30BoyHIBwBAFigsc07u+aXJFiIArykAyByrG5xiM0Yvzf3hkbPUgPGIDA/Lc7r2XivrneK0kugFAFPt8rnJhIqTp81SA8aj3xvUEnbiLp1TJoWxuY/A2RDkAwAgC5gWNKb1+cg9vKYAIDNYjIWyYVZyZtrGE/3iD0XnqQHjcaBzSLqHonMd1XLgJbT3AoBpMaPUJrN1M9OeoZoPE6TmOqoW7opq6b6sloRtnB9BPgAAskBhTbkUOCfWokE9Tz0f4DUFAJlpw8xSMaveiiLiDUZkS/NAuncJWWZ4eFie1VXxLa6xS2WxOa37BAD5Ws13uNsjrS5fWvcH2WfQH5Ktza7E9iWzy7TW7sD5EOQDACALFBQUiHlt04Seq56nng/wmgKAzFRkNsi6GSWJ7ReO90kwTDUfxu54r1daBvwj2nsBAKbP3IoiqXdaEtvPHk3OVQPGYuPJfgnFyviKzQatpTswFgT5AADIEsb6KjFfuOy8j4t1dtCox6vnAed6TQ2P8to5G15TADA1Lp5dJsZYtrbbH5btrcl5LMD5PHssuZg8t8ImDSVWDhoATCOVWHv53GQHnX0dg9I1GOBngDHxhcKy6WSyk8NFs0rFZCB0g7HhlQIAQBYxzWsQy1Vrztm6Uy0P9hhMErhohfZ44FyGZ9XJX8vqtNfMueo91WtOvfZ4TQHA1HBYjCMytp8/1ivh+FAW4Bya+31ypMeT2L5sDm3aASAdmqqLpSrWKll9gj+na6MMnIsK8PliM5nVvOb1ug4PwPkYz/sIAACQcdVXhrpKiXT0SvBQs4R6B0RCYSk0G+VIyCAvG+1y0mSVNZ5CuSXdO4uMp+Y+7TfYZH9po8yN+OV1xWEpcA2KBEMiJqMUljrEtKAxOheStq8AMKUumVOmvS+r2F6fNyS7292ysp5WTTi3p4/2JG43llhlTrmNQwYAaVBYUCCXzS2TB3Z1aNs729xy1fwKKbWZ+HngrAKhiLx4oj+xfcGMErGaDBwxjBlBPgAAspAKthhqK7Q/bne0nVeRwyHB5gE5uadT297e6pIr5pVzQYGzUvOenj8ea+9VUCA1c2uleBHtXQEgXcpsJllR50i06lTzfJbXObRFQ2A0rQM+OdiVrOK7ch5JOQCQTstqHfLE4R7p94a0pJ3nj/XJTUuq+aHgrDY1D8hQIKzdNhkK5KLZpRwtjAvtOgEAyCEr6p1Sao3m8KgLimeP0h4EZ7el2aXNfVLUHCg1DwoAkF6XzilPtE/uGgrI/o7BNO8RMtnTunO9eqdF5lcWpXV/ACDfGQoL5BLdddXWFpe4fKG07hMyVyAckRd0c3VVm85iM3VZGB+CfAAA5BAVqLlUN+x7W4tL+r3BtO4TMreKTz8jYk2jU5yxADEAIH2q7GZZXGMfEcSJDDObD2dqc/llf+dQYlt1cKC1NgCkn5qx67BE2y2GIsPM5sNZbTk1IIPxKr7TAsTAWBHkAwAgBy8oSmLBmvCwGvadzAoD9Bml8So+g5odMScZHAYApNcVuoSddndgRCAHiHtGV8VX6zBLU1UxBwcAMoDJUKhV5us7qFDNh9ETb5PrNetmlIjdQuItxo8gHwAAuVjNN0fXHqR5QAao5oNOKBKR544mLybWUsUHABml1mmRxdXJgM1Th3uo5sMIHW6/7NW1cr1iXgVVfACQQdQ1FtV8OBcV/I1X8al1nEt06zjAeBDkAwAgB+lbL6pqvmep5oPOVpVJ6g8lqvguncvFBABkmivnVyRudwwymw9nr+KrtptlkS4oDABIP6r5MJ7xGdGgMFV8mBiCfAAA5CBjYaFcNqKazyUDPmbzIVrFpw/6qoBwidXEoQGADFPrsMgS3Wy+J48wmw9RXYMB2dOuq+KbWy6FBQUcHgDI+Go+Rmkgattp4zP07V2B8SLIBwBALlfzxTLBwsNcUCB5MRGfB2EokBHBYABAZrlyXnLBp3MwIPt07RmRv5480iPDsduVxSZZUpsMBgMAMrmab4DZfIiOzzgt8TbeiQmYCIJ8AADkcDWffjbfllMM+853WhWfbhbf6sYSKbFRxQcAmarGYZGlumq+p6jmy3vtLv+IKr4r51VQxQcAGYxqPpxu8ynVaYnEW6QOQT4AAHLYGl17EFXN97Rufgvyjwr0cjEBANnlinnlUqCr5ttLNV9ee+Jwz4hZfEup4gOAjEY1H/QCIZV4m1yXWUPiLVKAIB8AADl+QXH53GR7kK3NA9LrCaR1n5C+i4lnTruYKKWKDwCyoppP347xqcPM5stXzf0+OdA1lNi+ej5VfACQjdV8JN/mr5dO9stgIDqLz1hYMGK9BpgognwAAOS4aDAn2t89Mizy5GGq+fIRFxMAkN2z+eLVfF1DAdnZ6k7zHiHdVXz1Tossqi7mBwEAWZJ8exnJt3nPFwzL87pZfBfMLGEWH1KCIB8AADlOZYddNa8isb2rzS0dbn9a9wnTyxsMjxjsvWFmKRcTAJBFqu0WWVbnSGw/eaRHm7OK/HG81yNHejyJ7WsWVEhBQTz0CwDIdGsbS6RMl3z7BMm3eeeFE/3iDUXP3yyGQrl0DlV8SA2CfAAA5IEV9Q6pKjZrt4dPywRH7nvheJ/4RlxMlKV7lwAA43T1/HIpjMV0+r0h2XzKxTHME8PDw/L4oeS526wyq8yrKErrPgEAJpB8Oz+ZfLu7zS3tJN/mjaFAWF48nky8vXB2qRSboy1cgckiyAcAQB4oLCjQFgfj9ncOaXNdkPsG/SHZeKI/sX3x7FIp4mICALJOeZFZqwKIU3NW/bEEDuQ2VcF3UnfedvX8Sqr4ACALLa9zSLU9mXyrT+BAbnvuWK8EwuqnLmIzFsrFs0rTvUvIIQT5AADIE4tr7Nr8lrjHD3endX8wPZ492pe4mCgyGeSi2VTxAUC2umJeuZhi5XwqI1yfxIHcFDmtik9V8M0ut6V1nwAAk0m+TVbzHewakpN9Xg5njnP5QvLyyYHE9qVzy8RqoooPqUOQDwCAPKHmtqj5LXFHe7xyTDfbBbmn3xuUTaeSFxOXzS0Ti5HTPwDIVg6LUTboMr+fP94nnkA4rfuEqbWnfVBaXclZyvrFYQBA9llUXSwNJcnk28cO9WhtmZG7nj7aKyE1iFFE7GaDXDCTKj6kFqs8AADkEZX9Passmf396KFuLihy2FNHeiUcu2B0WoyyfkayzRsAIDupuarWWMKGatf57LHedO8SpkgoEpHHDyU7LyypsUtjqZXjDQBZnnx77YLKxPaJPq/Wlhm5qWswIFubk4m3l88tF7OBkAxSy5ji75f1tu3aJz/99X2yc+9BCYZCMm9Wo7zpNTfKzTdcNa7vc/0b3yut7V3nfExDXY38/Xc/Tmy3tHXKDbe/76yPrygvlaf+9Itx7QcAAGdeUFTIz15ujn72DPi1DPFldQ4OVI5pd/lle4trZIs3LiYAIOvZTAYt0Kcy/xXV/unCWaVSYjWle9eQYptODkifN6TdVl1a1TkcACD7za0okrnlNjnaG23V+ejBbu0+1c4TuUX9bGNFfFJeZJK1JN5iChDk03n06Rfl41/8hkQiw7J25RIpK3HKxi075TNf+a4cPHpC7vrgO8Z8YK+74mLpG0gurOlt2b5HWto7Ze2KxWcN5l1yweoz7ncUF4353wcA4GxmltlkcXWx7OscSlTzLaopFmMh2WS5QrV7+cfBLm2Yu1JVbJbVDc407xUAIFVUy86XTvaL2x/W2j89ebhXbl1WwwHOId5gWGvvFbduRolUFJvTuk8AgNS5dmGl/HTjKe12uzsgO1rdXLPlmOO9HjnQFV13UVSyjjE2WxlIJYJ8MQMut3zua9+XcDgi3/7SJ+Tayy/S7u/u7Zc77vy03PP7v8gVF62T9auXjenAni0gGIlE5NrX/ZN2+1WvuHLUx8yZ2SD//q8fmcjPEwCAMV9QqJNNlVHW7w3JSycH5JLZZRy9HHG426PNXIy7bmGFGLiYAICcodo8XTGvQh7c26ltq8rtDTNLpc6ZnPGD7PbcsT7xBiPabYv6ec8tT/cuAQBSqKHEKstq7bK7fVDbVu2Zl9bYxcwM9ZwQUYm3B5Itt2eUWrW228BUIGU/5v4HH5PBIY9cdekFiQCfUlleKh97/9u12yrQN1mqMrCrp0+qqypkw5rlk/5+AABMRGWxecR8tmeO9IonEOZg5oBwZFgeOZi8mJhTbpOFVcVp3ScAQOqtaXBqldqKqtz+x4Eu5uzmiH5vUDae6E9sXzKnTOwWcrQBIBeTb+OVXao6/4XjfeneJaSIGovS6vIntl+xsFIbnwJMBYJ8Mc9s3Kx9ve6KZIAv7vKL1orFbNYCdH5/YFIH/KFHn9a+3nTNZVJIWzQAQBqpCgBLLEvQF4qMaAmF7LW91SWdg8nzlVc0cTEBALlIVWhf31SZ2D7W65WDupZQyF5PHu7R2rAqDotBLppdmu5dAgBMgTKbSavEj3v+eJ+4/dFZrMheoUhEHjuUTLxV41LU2BRgqhDkizl45Lj2dcnCeWccJJPJJPPnzBR/ICDHm1snfLB9fr88/uxL2u2bXnHFWR/X09svP/j5b+ULX/+hfPNHv5RHnnpBgsHghP9dAABGU2w2yOVzky06N53sl17P5JJZkF7+UESeONST2F5Z75B6pzWt+wQAmDoLqoplfkVydrtqC6UqupG92lx+bS5T3FXzK7T2rACA3KSuyYtMBu12IDw84noO2UmNQ1FjURRVqHndwmRSFjAV6PcgorXpdA96tANSU1Ux6oFS9+85cFja2rukad7sCR3sJ559WYY8Xlk4b/Y5v8exky3y43v+MOK+upoq+eYX75LlixeO+d+79Y7R5/qdbGmTxroacbuTFw4YnccTfV0AQK6+Vy0tN8pGc6G4AxEJD4v8bW+H3NxEtni2euHUoAzG2q6qIs0NdVY+75ExOK8CpsYljTY50uPRWnb2eILy3OEOWVNHm+ZsfK8aHh6WB/f0aj9LpcJmlPnOAj7LAYyKc6vccVFjkTx+LLpOu7XFJcsrTVJVbEr3bmEC1DzdZ47oEm9risQc8YvbnWzdmW94rxobh8MhE0U6mHqheX2JA2K1jD6o3GaL3q+CdBP110ee0r6++ixVfGazUd54yw3y8//6kjz151/Ixr/9Ru794VflsgvXSltHl7zvrrultT06WB0AgFRQ/f8vn5U8kTjY45NmF9V82UjNcHi5JdmmbW1dsTgt0YxQAEDuUouAK2psIxI+VBtuZJ8D2nlYsovPlbMdUsj8HgDIeStqiqTclrx2e+q4mzm7Weq5k27xhaLpOmZDgVw0w57uXUIeyJlKvn/+zFfl6MnmcT3nPz79kXFVxk1GT1+/bNy8Q5vDd+O1l4/6mKqKcvnsx9434r6VS5vkh1/7rHzyS9+Whx97Rv773vvl83d9YEz/5p/v+e45K/wmEx3ONxwrALn8XrXObpdtHb7EUOinTgzK+y6ayaJSlvn70bbE/B7V7uXqphqxxtq+AJmE8yog9V6x2Cb7u0+IPxzRFpa2dATkhkVVHOoseq8KhCLy7Mnk/J6mqmJZMZP2XgDOj3Or3HDDokL5zbY27faJgYC0+QqlqZoAUTZpc/lkZ0eyQOjKeRVSU16S1n3KJLxXTZ2cCfK1tHfI8ZMt43qOzxetVCiyWUfMzbMbkzMN4rze6MJncdHEhmT+/fHnJBQOy0XrVkp1Zfm4n/+et96mBfle2LRtQv8+AABnozLEX7moSn72cjRZpt0dkM2nBuQC3QBwZLZjvR7Z3T6Y2L52YQUBPgDII3aLUS6bWyaPxeb4vHSyX9Y2lkiV3ZzuXcMYPXesTwZ80fk9hoICub6JAB8A5JOFVcUyp9wmx3qjQaK/7e+WuRVFYmIua1ZQLbcf3teVaLldWWySDbNYU8H0yJkg330/+/aEn2svLhKHvUiby9fR1aNtn07dr9TVTiwb8sFHn9a+vuq60Vt1ns+sxjrta1dP34SeDwDAucwss8nKeofsaI3OAVDDvpfWOqTYTCVYpgtHohcTcQ1Oi6xucKZ1nwAA0+/CWaWyuXlA+r0hUYXdD+/rlLeva5AC2j1mvD5vUJ4/nrzWv2h2qVQUE6AFgHxSEEu+/fGLJ7XP8fhng6oGQ+ZTSbcn+5MjwW5oqtLGowDTgZl8MQvnzda+7j145IyDFAyF5PCxk2Ixm2V2Y/24D/LxUy2ye/9hsVktcu3lF07oBzXgjs7YsVmTVYcAAKTSdQsrxRLLEvSGIvL4oWTLKGSuTacGpHMwOUfxxsXVtFoFgDykMv3V4mDc0V6v7OlIVnkjcz1yoDvRctthMcjlc8ff/QcAkP1qHBbZoOuo8+zRPi3Yh8zmD0XkHwe6RrTcXlBVnNZ9Qn4hyBdz+YXrtK+PPv3iGQfpmRc2iz8QkAvXrhCLZfzZdA8+Eq3iu/qyDVI0wXafj8X2a/HCuRN6PgAA5+OwGOXK+clFpa3NLmkdSGaiIfMM+kPy5OFotwFFVfA1lpIQBAD5SltUqkx2pvn7/i5t4QmZ61iPR/bqgrFa0pWRpRoAyFfqmtwe66ijEkD+sT8ZPEJmevZor7j9Ye22qt5jLjKmG2eOMbe96lqtTeeTz70sjz2TDPT19PXLt378K+32HW+85YwD+Oq33an9ibfzHM1Djz0TfewrrjznD+O+vz4iR09E5yHpqf35zk9/rd1+062vHNtPFgCACVBZg1Wx9lAqn/yhfV0SGY53lUemUbOXfLHFW6uxUK5dQCsXAMhn8VZfaqabohacnj7Sm+7dwlmoxVt1rhXXWGKV5XUOjhcA5DGr0SCv0M1l3dc5JIe7ox3ekHl6hgLywvH+xPbFs0ulvMiU1n1C/smZmXyTVeJ0yN2fvFPu+sI35GOf+7qsX7VUu2/jlp3iHhySt7/hZlm/etkZzzt+skX7GgpFo/Wn2757vzS3dkhleZlWCXguKhj4xW/8SGsdqmbwqYGdR46fkmOxf+Odt98q10yw3ScAAGNhKCyQGxdXyT2bo589zQM+bU4fM94yT3O/T7a1uBLbV82vELuFUzsAyHdqltulc8rk6aPR4N6LJ/pkVYNDqu2WdO8aTvPC8T7pGoq23FZhWXUOVsgMRQDIeyvqHLL51EBixpuawf7BS2xiLKReJ5OotXv1swnHEqOdVqNcNoeW25h+vDPoXHfFRfLL735ZLl6/SvYdOibPvbRVZjbUyZf/9cPy8Q+9c0IHON6q85XXXCoGQ7TU+mxue9V12j74fH55cfMOeeqFzTLk8Wpz/H76zS/Ixz5wx4T2AQCA8ZhbUSRLauwj5sQMBUZPZkF6hCPD8te9HYntartZ1s8o4ccBANBcOrdMSm3RxA816k0tQKmFKGRW5r++ynLdjBJpKKHlNgAgWpl/0+JqLQFE+8zwBEdUiyEz7Gpzy+EeT2L7+oWVYqblNtKgYJgz/bxz6x0f0b7++Z7vpntXMp7b7da+Ohy0TAGQX+9V/d6g/OD5ExIIRxcEV9Y75LXLa1P2/TH5nv+qVWfcO9c3yuzyic39BaYL51XA9NrfOSi/3daW2L5teY2sqHfyY8iA9yq1DPPrLa1yJLYwqGYvffjSWWI1nTsxGAD0OLfKfQ/t65SXTw4kZr198OKZWsU+0s8TCMv3nz+RSIhWM5HfsqZeC9BiJN6rph6VfAAA4AylNpNcPT8530217GQOQOZk/j+ly/xf0+AkwAcAOENTVbG24BT3t/1U5mdS5n88wCexNp0E+AAAp1PX5CoRJD7H9f/2dFKZnyEeOZg8rzIZCuSmJdUE+JA2BPkAAMCoNswqlQZncn7Pg3s7JRCKcLTSSGX+q5+DusBT1AWffig7AACnt/pSC0+KJxiWv+/v4gBlQOb/3w90J7ZVIFbfJh0AgDibySA3La5KbB/v88pW3Vx2pMexXo9s0/0crppfIWU2Ez8OpA1BPgAAMPpJQkGB3Ly0Rgpj3Sb6vCF58kiyRSSmn6qoPNrrTWy/cnGVduEHAMBoyopMco2uMn9nm1sOdg1xsNLoUTL/AQDjsLjGLouqixPbjxzoFrc/xDFMk2A4In/d05nYrnNY5MKZpfw8kFYE+QAAwFnVOi1y8eyyxPaLx/ul1eXjiKXBoD8kfz+QrMBYWFUsS8n8BwCMoTK/scSa2P7r3k7xhaLtpTD9mf/6Coyr5pH5DwAYW2W+xRhdxveFIvLQ3mSQCdPr2aN90uMJRn82IvLqpdViiGdGA2lCkA8AAJzTlfPKpbwo2npCNYlUcwDCsXaRmD6qtZc3GG2XajYUyKsWV9HzHwAwpsr8W5ZVS6xrp7h8IXnsIJX5080fisifd3cktmsdZrlwFpn/AIDzc1qN8oqFyTEN+zqHZG/HIIdumrW5/PLcsd6RI050iVRAuhDkAwAA52QyFMqrl1SPOLF9Vndii6mnLuB2tbkT29csqJQSev4DAMao2m6Ry+eWJ7Y3nRqQE33J9s+Yev840CX93mh7NZXwf8vSGjL/AQBjtqbRKbPKbInth/d1anNeMT1CkYg8sKtdwrF85xKrUa7WtUQH0okgHwAAOK+5FUWypsGZ2H76SK+0DtC2czqoeQt/3ZPM/Fct1y6YWTIt/zYAIHdcOrdcqu3mxLaqKguEohXimFqHuoZkS3OyTacKuNaT+Q8AGGdl/s1Lq8UYaw3p9ofloX207ZwuTx7ulc7BQGL71mU1iRaqQLrxSgQAAGNy/aJKKbUatduqW+f9u9q1odOYOsPDw/J/ezrEE2vTaTIUyGuX12gXeAAAjIdaFFTVY/FPkF5PcMSsV0wNbzCstTqPq3OMrKoEAGCsKovNcpWuemx3+6DsbE0mkWBqnOzzyvPH+hLbKulWJUIDmYIgHwAAGBOr0SCvWZ5cHOweCjLTZ4qprP+DXZ7EtprDUFGcrMIAAGA8GkutcumcshGfM/s7mekzlf62v0tc/mibTkNBgXYuZYhVYQAAMF4Xzy4d0bbzoX2qHXSQAzmFM3X/tKtDYl06paLIJNfp5iMCmYAgHwAAGLPZ5UVy0ezSxPbGk/1ytCcZhELq9HoC2vyeuPmVRbJ+Bm06AQCTc+X8CqlzWhLbf9ndqbWGRurt6xiUHa3JmbpXzS+XGkfy2AMAMF6FsYQRiyG6rO8LRbQW3JHheBgKqfTowW7pjQVRVYqOOvbm2LEHMgWvSAAAMC5quLR+ps+fdndoraiQOuoCTWULBmJTvW2mwmiLNdp0AgBS0LbztuW1YopVk3mCYfnL7g6tRTRSx+ULaS239TN1L56drKIEAGCiymwmuXFxVWL7WK9XNp7o54Cm2OHuIdl0aiCxfencMplRmqyiBDIFQT4AADAuJkOhNhfOUJBcxHpwbyeLgyn07NE+OdnvS2y/akm1OGPzEAEAmKwqu1le0ZRsNXWo2zNiEQuTT9a5f2d7cqZuIW06AQCptbLeIUtq7Intxw72SIfbz2FOEdXl4IFdyWSdWodZrpyXnIcIZBKCfAAAYNzqnFat3Zd+4Lea64PJO97rlScP9yS2l9c5ZFmtg0MLAEgp1QJ6YVVRYvsfB7qlc5DFwVQl6xzv8ya2X7m4SiqZqQsASCHV5eXVS6rFYTFo2+HhYfnjjnYJhKIJJphcss4DO9tlKBBOdEF47fJa7SuQiQjyAQCACbl0TpnM1g38/tv+Lmknc3BShgIhuW9nW2Kod6nNKDfp2rAAAJDKxUHVCrrYHF0cDEWG5Q/b28XP4uCknOzzylNHksk6S2vtsqbBOdkfFwAAZygyG+TWZTWJ7a6hgDy0r5MjlYJknaO9yWSdGxZVMlMXGY0gHwAAmNhJREGB3LaiVopMycXBP+5oY3FwMtmCuzrE7Y9mC6p2qK9fUSe22PEFACDV7BbjGYuDtOCeuEF/SKuiiAwnk3VuXlLNTF0AwJSZX1ksl+hmvm5vdcu2FlpwT9SJvpGddVRL1HWNJZP+OQFTiSAfAACYMDUnTs3ni+seCspf93Qwn2+C2YKHuz2J7WsXVkpjqZVXJwBgSi2sKtaq8+N2trllMy24xy0cGZb7draLyx/StlVHr9etqBUryToAgCl2zYIKmam7dnxwbxfz+SbA5QvJH7aP7Kxz81KSdZD5CPIBAIBJWXDa4uCu9kF58UQ/R3UcDnUNjcgWbKoqlotmlXIMAQDT4ur5FTJL34J7X5e0DPg4+uPwxOEeOaZr7fWKpkqZUZo8pgAATBVDYYG8buXILju/29Ym3mC0SwzOT2tbvqNNBmNz+Oisg2xCkA8AAKRkcVA/n+/Rg91ytCdZlYaz6xkKaJn/8WzBMptJa52mZiUBADBdi4OvX1mbmM8XHo4uDrpjVWk4t30dg/Lcsb7E9rJau1w4k2QdAMD0KbGatC478avIXm8w1kI6fqWJc/nH/i451Z9McLpxcTWddZA1CPIBAICULA6+YVWtlFiN2raaRaPm8/V7gxzdc/CHIvK77W3iC0W0bZOhQN60uk4boA4AwHRyWIzy+hW1WptJRbWd/P32NglFop9RGF2byy8P7GpPbFcVm+XmpSTrAADS02XnqvkVie0jPR557GCyYwxGt7V5QF4+lZxjuLrBKWsbnRwuZA2CfAAAICWKzUa5fVWdGGOrg55gRH6ztVV8IVqEjEZlVN6/s106BwOJ+1QFX43DwisSAJAWcyqK5IamqsS2ymhXc32GqQIYlap0/O22VgmEo1USFmOh3L66TvsKAEA6XD63TJbU2BPbzx/vkx2tLn4YZ3GsxyN/3duZ2K53WuSmxVV01kFW4cwTAACkTH2JVRtMHdcxGJA/bm+XsCrtwwj/2N8tB7qGEttqruGyWgdHCQCQVhfMLJE1Dcns9W0tLm2BECMFwxGtpemAL9rSVKU4qUrIymIzhwoAkDZq7IOWPGpPfh79ZXenHO9lnMbpuocCWteC+HKF3WyQN66qE5OBkAmyC69YAACQUivrnVrAKu5wj0ce3tdJFYDOxhP9svFkf2J7UXWxXLMg2VYFAIB0Lg7etKRaZpZaE/c9erBHdrW5+aHoqvH/tKtDmgeSs3tuWFSltUkDACDdopXl9VJkSs7a/e22NunSdZHJd55AWP53a6t4Y6MzVEeiN62ul1KbKd27BowbQT4AAJByKmC1VNciZHOzS547RhWAsq9jUP6+v2tEO5DblqsZSPER6QAApJda6FKZ7GW6ha4/7WrXWlrlO9W69G/7umRPx2DivnUzSmTDzJK07hcAAHrlRSZ585rkOA01B/7erS0y6I9WoOczfyiiBfh6PcHEfa9dXiONugQnIJsQ5AMAAKk/wSgokNeok+SS5EnyY4d6ZJNumHU+OtrjkT/uaJd489ISq1HevKZezMzuAQBkGLvFKG9bq6oAossGauzc77a3SbvLL/nsmaN98rLufGZeRZHcuIjZPQCAzDOj1KYFr+LppP3ekPx6S4t4g2HJV6HIsNaiU1+Nf/X8ClnK6AxkMYJ8AABgSqg+9m9aXadlEMY9tLdTdudpu6/mfp/8dlur1ipFsRoL5S1r6sVhMaZ71wAAGFVFsVlLRtFXAfxqS0vetvvafGpAnjjck9hucFq0ikdD7PgAAJBpVPDquqbKxHa7OyD3bmnVqtnys912uxzRdSZYP6NELp+bHDcCZCNWlQAAwJRWAbx9XYP8/KVmcflDWgXb/bvaxWQokKbqZDvPXNfu9mutUQKqDEILgBZoAb4ahyXduwYAwHmrAF6/slbLeo8MiwwFwnLP5mZ55/pGLQiYKy04Ix29EjzULAU9/SLhiHhMRiksc4ppQaMU1pTLthaX/HVvZ+I5FUUmecvaem3uEQAAmeziWaUy5A/L88ejIzRUFZtKQH1LLJEn/hkY6XOJhMIiRsOIz0A1rzcXAnz/t6dTdrcn220vq7XLjYupxkf2I8gHAACmlJrnowX6Xj4lnmBEWyBUC4VvWFUni/Ig0Nfm8sk9m1VLlGimpKFA5PZVdTKzzJbuXQMAYEzU5/VrltXIA7s6tIQdt18F+lq0QF+ZrmI/G4VauySw5YAMu4a07fgy5rAvIGG3R8In28VfZJOdxhIRc5H2dw6LQd62rkGKzSypAAAynwrSXbewQvzhiFaVrhzr9coTzx2USwe6RNxnztyNfwYWOIvFvLZJjPVVks0Bvr/s7pDtre4R7bZfs7xWGzUCZDtSzgAAwJSrspvlrWsbxGJIzvVRgb697bndurNlwCe/3JQM8KnLh9tW1Mr8yuJ07xoAAOOyot4pr15andge8IXk5y83Z3XrzuCRFvE/uTUR4BuNCmpaPF65zdUuy3xuLcCnBTdt2R3cBADkX6DvpsVVsqLOoW2rz7SLm0+MGuDTU5+R6rNSfWbmSoBvVplVa7cdb0cOZDuCfAAAYFo0lFi1ij41i05RFX1/3NkuO1tdOfkTONHnlV9tbtHmFynq+kG1O2OgNwAgW61tLJEbFyUz+VUr7l9sapY2l1+ysoJv4+7zPi6+/KfOXm4Y7JJ3zbTlTJtSAEB+UVVrty6rkSuLh7XPtPEEBtRnpvrszCbBcET+uKP9tACfTd6ypoF228gpBPkAAMC0aSy1yh3rGsSmC/Tdv6tDnj3aq83DyRWqQlEf4FMtOt+wso4AHwAg622YVSqvXlKdCH6pGX2/3NQsx3rPXQmQSdQ5h2rROV7q7MW650hOnbMAAPKLSj7d0NcxoaCA1t46Sz4DfcGw3LulVfZ2JGfwzS6zyVvXME8XuYcgHwAAmFb1JVZ5x/pGKTYbEvc9dqhHHt7XpbXSyHYbT/TLH3a0S0hFMNUA5MICrRXI4prcnz8IAMgP62aUyGuX12gLhYpKavn15hbZ1pId1fmRjt5ztug8F/U89XwAALJR9DPQk9OfgQPeoNZS/HifN3Hf/MoiecuaejHHEo6BXMKrGgAATLtap0XefUGjlBcl59m8fGpA/ndLq3gC4az8iYQiEfnrng752/4ubX6PoioWVYvSpmoCfACA3JvRp59no+bt/nl3hzx2qDvjk3aCh5rT+nwAANIl1z8D1diMn2w8JR26mcEr6x3y5tUE+JC7CPIBAIC0UPNs/mlDozSUWBL3He7xyE83nsy62T4DvqD84uUW2dycrGAosRrl3RtmaD3/AQDIRYuq7fKO9Q0jqvOfPdqnJe2oNp6ZKtI3uYrDSH9ytg8AANkkVz8DVRvRTaf6tRbi+nOQS2aXyWuW1Ygh3n4AyEEE+QAAQNoUm43yjnWNsri6OHFfnzck//PSKdl8aiAr+v0f6hqSn7x4SpoHfIn7GpwW+acNM6TKbk7rvgEAMNVmlNrkPeozr9g8Imnnxy+elJO6NlkZJTTJAGQwlKo9AQBgeuXgZ6A3GJb7drbLg3vVCJDofYaCArl5abW8oqlSCgoI8CG3EeQDAABppXriq3Zf1y6okPipt5pn99e9nfKbbW3i9mfeRYQSCEXkwb2dcu/WkdUKaxud8s4LGsVpNaZ1/wAAmC5lRSatOn+RLmnH5QvJLzY1y+OHurWW1hnFmKw8nBATn/EAgCyVY5+Bx3s98qMXTsru9sHEfQ6LQd55QYOsbSxJ674B0yWzfisBAEBeUpl1l80tlzqnRe7f2S6eYHQx8GDXkPzw+ZNyfVOl1kc/UzLwjvR45KG9ndLjCSbuU5mCNy6uknUzuJAAAOQfq8kgt6+qkxdP9MujB9VcPtH+PHO0T/Z3Dsmty2qkocQqmaCwzCFht2fizy91pHR/AACYLoVlzpz4DFTVe48f6ol2ANLdP6vMKq9bUUfSLfIKQb4Yj9cnjz+zUXbtOyS79x+S/YePSTAYkg+8443ywXfePuED/NTzm+SXv/+z7D90TNtevHCuvPP2W+Xyi9ad9TmHj52UH/7id7J5+x5tv2Y01Mprb7pW3nLbTVJYSPElACB3za8slg9eMkv+vLtDDndHLzw8wbD8aXeHbGkekJsWV0utMznDb7oNeIPy9wPdsrcjmSWo1DrM8trltVLjSN++AQCQbioZ5+LZZdJYYpUHdrVrLbiVzsGA/PfGU7K6wSlXL6gQhyV9SxGqhejWoEWuU/N71D5P4HuYFjROwZ4BADD11GdY+GT7uJ8X/8zcZy+R5ZGIGNO0Rh0ZHpZdbW75x4HuER111Mi9q+ZXyKVzyqQwQ5KDgelCkC/mZHObfPo//iulB/fXf/yr/Of3fy5Gg0E2rF0hZrNJXty0XT70qX+Xf/3n98ibX3vjGc/Zvnu/vOdjnxefPyDLFy+Q+tpq2bJjr/Z91N994wt3ZUwVAwAAU0Et/L11Tb1sbh7QTtyD4Whe3sl+nzbfZ0W9Qy6fWy6Vutk/U23QH5Lnj/fJppMDEow3+Y9d5Fwyp0y7mDAyyBsAAM3MMpt84OJZ8tihbnn55IB2n/r03Nrikt3tbu2zc8PMUrGZJtkybBw63H4t4/9A15DIsEHWGExSEU5W5I9VgbNYCmvKp2QfAQCYauozTH2WDbuGxvU8de3bYzDJnzsC8vRzJ+XKeeWyvM4hhmm6Dh4eHtY+w5841CMdg4ERf6fmAr9meeZ0DACmG0G+mOIiq1Ytt3TRfFm2aL488+IW+cHPfzvhA3vsZIt880e/1AJ7P/v23bJq2SLt/uOnWuRtH/pX+fr3fy6XXrBaZjbWJZ4TDIXkU1/+jhbg+/iH3ilvf8PN2v0ej1fee9cX5ZGnXpC//P1JufWVV0/upw4AQIZTCS3rZ5RqlX3/2N8l+zqHEguEO1rdsrPVrV1QqAXChhLLlCXAdA8FZNOpAdlyamRwT1FVCjctqZJ6JxcSAACczmIs1Crwl9bYtTm73UPRgFogPCxPHu6VF471ay2uL5xVOmUttdSC4LFer7x0sl8OdA4l23kVFMgTxRXyOlf7uCv5zGubSLwFAGQtde2sPsv8T24d1/PUQA312ak+Q/u8Qa3bzpNHeuSS2WWyst6pfe5PhWA4onXS2XiiX1pd/hF/ZyoskCvmlctFs8tIukVeI8gXM6OhTr74iQ8lDswLm7ZP6sD+730PSjgckTe95sZEgE+ZPaNB3vPW18nXf/ALufe+B+XTH31P4u8ef+YlaWnrkKb5sxMBPqWoyKY97o3vuUvu+f1fCPIBAPJGmc0kt6+ul8PdQ/K3/f+/vfuAjrJK/zj+SzIpM6mkEELovQsCUhRQsGBDUPmjYsdeELu7FizrWnBddBVXFmVtLDbWhotdEAEp0nuvIYR0SC//c2+KBBJIwoQwyfdzznvuzFvuvDPvOc/MvM8tCaU3CM1NuhVx6XYxQ2WeGhuqjtFBbrlJaMb2N3MBLt2dZm8MHi7Iz0dnt4uwf2QYBgQAgKNrEe7SHf2b2x76P29KLJ13Nzu/wPaSn789Wa0jXPZ7tUPDQPn6HP9NwuSMXK2OT7cNg8xQoYczDYQGtYuVf3KkchasqnS9fn27yNE46rjPDwCA2mS+ywr7dqnSd6B3705qmB+g7TtT7Jy7RkpmnmauTbBz8XZuFKzujUPUrEHAcf9PNkNy7knNtt/ly3an2yk8DtcpOkjnto+09wyA+o4kXw2Zs2CJLc8Z1O+Ibeee2d8m+WbPX1QmyffLgsXFx/Q/4phO7VqrSeNoO1/f7rh9io1pWFOnDgDAScfO1dffZYf4mr05SYkZfwyvtTc9R1+vS7BLTIi/2kYGqkmovxqHBlRqzh+T1DMtAvekZtl5AHekZJb+aTk8uWeGFzO9DvzccAMSAID6wgzlZXrfd4sJ1rxtKVq0I0WZeUXJPvOdu3F/hl3M0NfNGzjVKsKpZmFORQX5HXNIT9Nb70BOvnalZGl7cqa2JWUqLr1sS/9Dh/MycwJ2bBhY1Bsv3CUvp59ylqw/6rBlZlgz0+uBBB8AoK7wbR1b5e9AM/HUac1CNXdrspbvSSv932x66ZtGsmZxOrzVOtKlVhEu+//cfPceqwGPSeolHszVrtQs7UzJtI1u07OPTOwZ7aMC7XQZpm4ARUjy1YC09IOKi0+wjzu0bXXE9kYNI9UgNER79ibowMEMBQW67Pr1m7fZsmO7I4+x69u20q498dqwZRtJPgBAvbxBaFr5m2E6V+89oEU7U7Q9OavMPnFp2XYp4fL1tom+4ACH/bNhhhYxcvIKlJ6dV7yU/+ehRMMgP/VqEqoeTUJI7gEAcBxMwm5I2wid0bKBluxK1W/bU5SSlVe6Pa+gUJsTM+xSItjfR6EBvnL6epcm/Mx+ZviutKw8O2SYubl4NG0iXOrT3AwD7jqid4G5aekTE6mC+CTlbtylvKRUKS9f3n6+8g4Llm/bJkXzF9XQ0OAAANSWw78DC1LSzXxSkq+jwu/AyEA/De8SbYfJnLct2U6lkVXccMcwjXhW7T1gF8NM2Wd62wX6+djFz+GtgoJCma9u0+A2NSvPfp+b7/aKmGE5zX0Ak2CMYboM4Agk+WpA3L6iBF9IcJBczvLn6YmOilByappN9LVr3bzouPj9pdvKPaZhpC3NMZUx/Lqx5a7fsTtOTWKilZ6eXql66rOMjD/+XALAyao+xqoWQVKLjmFKzMjTivgMbUrKVmo5yTozJFhGbs4RE3Mfi0kOtm7gry4NnWoc7Gv/1GRnHFT5/QIAVEZ9jFUAKtY1wqEu4RHamZajNQlZ2pCYVW6yzjTGOVaDnPKEO33UPiJAHaOcCneaWx8FOnig6IZjuQL9pO6tSmOVy+WSeVU7dsDRjgOAWsJvK7hN8XfgoY71HWi+WQc2capfTIA2JWVp1b5M+51+eK7OPDcj8Rw6Gk9lmLRibIiv2kUEqFOUUwF2zr9cpadXrR7UPmJV5QQHB6u6SPLVgMzMol4FAQEVdxt2Oou2ZWT+MddPRvFxTv/yj3MW15eRceT8QAAA1EcRLofOahmiM1sUKjEzX5uTsrQnPVfxB3N1IOeP1oTHEuDwUnSgr2KCfW1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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 1: Continuous vs Discrete Signal\n", + "# We simulate a \"continuous\" signal using a very high sampling rate\n", + "\n", + "duration = 1.0 # seconds\n", + "frequency = 3.0 # Hz\n", + "\n", + "# \"Continuous\" signal (high sampling rate for smooth appearance)\n", + "fs_continuous = 1000 # Hz\n", + "t_continuous = generate_time_vector(duration, fs_continuous)\n", + "signal_continuous = generate_sine_wave(t_continuous, frequency)\n", + "\n", + "# Discrete samples at different densities\n", + "fs_high = 50 # Hz - many samples\n", + "fs_low = 10 # Hz - few samples\n", + "\n", + "t_high = generate_time_vector(duration, fs_high)\n", + "t_low = generate_time_vector(duration, fs_low)\n", + "\n", + "signal_high = generate_sine_wave(t_high, frequency)\n", + "signal_low = generate_sine_wave(t_low, frequency)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 8), dpi=150)\n", + "\n", + "# Top: High sampling rate\n", + "axes[0].plot(t_continuous, signal_continuous, color=COLORS[\"signal_1\"], \n", + " linewidth=1.5, label=\"Continuous signal\")\n", + "axes[0].scatter(t_high, signal_high, color=COLORS[\"signal_2\"], s=50, \n", + " zorder=5, label=f\"Discrete samples (fs={fs_high} Hz)\")\n", + "axes[0].set_xlabel(\"Time (s)\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"High Sampling Density: Signal Well Captured\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom: Low sampling rate\n", + "axes[1].plot(t_continuous, signal_continuous, color=COLORS[\"signal_1\"], \n", + " linewidth=1.5, label=\"Continuous signal\")\n", + "axes[1].scatter(t_low, signal_low, color=COLORS[\"signal_2\"], s=50, \n", + " zorder=5, label=f\"Discrete samples (fs={fs_low} Hz)\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Low Sampling Density: Fewer Points to Represent the Wave\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d3063f6a", + "metadata": {}, + "source": [ + "The figure above illustrates the sampling process. The smooth blue curve represents our idealized continuous signal, while the pink dots show the discrete samples that would be stored by a digital system.\n", + "\n", + "Notice how with more samples (top panel), the discrete points trace out the wave shape quite accurately. With fewer samples (bottom panel), we still capture the general oscillation, but with less detail. The question becomes: how few samples can we use while still accurately representing the signal?" + ] + }, + { + "cell_type": "markdown", + "id": "1c97f7c2", + "metadata": {}, + "source": [ + "## Section 3: Sampling Rate and Temporal Resolution\n", + "\n", + "The sampling rate directly determines two important properties of our digital signal:\n", + "\n", + "1. **Temporal resolution**: Higher sampling rates capture finer temporal details. At 1000 Hz, we can distinguish events 1 ms apart; at 100 Hz, our resolution drops to 10 ms.\n", + "\n", + "2. **Frequency representation**: The sampling rate limits the highest frequency we can accurately represent. This is the crucial insight that leads to the Nyquist theorem.\n", + "\n", + "For EEG analysis, we care about neural oscillations in specific frequency bands:\n", + "- Delta (1-4 Hz): deep sleep\n", + "- Theta (4-8 Hz): memory, navigation\n", + "- Alpha (8-13 Hz): relaxed wakefulness\n", + "- Beta (13-30 Hz): active thinking\n", + "- Gamma (30-100+ Hz): perception, consciousness\n", + "\n", + "Since the highest frequency of typical interest is around 100 Hz (gamma), a sampling rate of 256 Hz is often sufficient for most EEG research. But why exactly 256? The answer lies in the Nyquist theorem." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "1e8bcbc0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 2: Same signal at different sampling rates\n", + "\n", + "duration = 0.5 # seconds\n", + "frequency = 10.0 # Hz\n", + "\n", + "# Reference \"continuous\" signal\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_ref = generate_sine_wave(t_ref, frequency)\n", + "\n", + "# Three different sampling rates\n", + "sampling_rates = [1000, 100, 25]\n", + "titles = [\n", + " f\"fs = 1000 Hz (100 samples/cycle)\",\n", + " f\"fs = 100 Hz (10 samples/cycle)\",\n", + " f\"fs = 25 Hz (2.5 samples/cycle)\",\n", + "]\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 10), dpi=150)\n", + "\n", + "for ax, fs, title in zip(axes, sampling_rates, titles):\n", + " t = generate_time_vector(duration, fs)\n", + " signal = generate_sine_wave(t, frequency)\n", + " \n", + " # Plot reference\n", + " ax.plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], linewidth=1, \n", + " alpha=0.5, label=\"Original\")\n", + " # Plot sampled version\n", + " ax.plot(t, signal, color=COLORS[\"signal_2\"], linewidth=2, \n", + " marker=\"o\", markersize=4, label=f\"Sampled (fs={fs} Hz)\")\n", + " \n", + " ax.set_xlabel(\"Time (s)\")\n", + " ax.set_ylabel(\"Amplitude\")\n", + " ax.set_title(title)\n", + " ax.legend(loc=\"upper right\")\n", + " ax.grid(True, alpha=0.3)\n", + " ax.set_xlim(0, duration)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "ec612454", + "metadata": {}, + "source": [ + "The visualization shows a 10 Hz sine wave sampled at three different rates. At 1000 Hz, we have 100 samples per cycle, and the reconstruction is nearly perfect. At 100 Hz, we have 10 samples per cycle, which still captures the waveform well. At 25 Hz, we have only 2.5 samples per cycle, and while we can still see oscillation, the shape is becoming distorted.\n", + "\n", + "This brings us to a fundamental question: what is the minimum sampling rate needed to accurately capture a signal of a given frequency?" + ] + }, + { + "cell_type": "markdown", + "id": "5eeebcaf", + "metadata": {}, + "source": [ + "## Section 4: The Nyquist Theorem\n", + "\n", + "The **Nyquist-Shannon sampling theorem** provides the answer to our question. It states:\n", + "\n", + "> To accurately represent a signal containing frequency $f$, we must sample at a rate $f_s > 2f$.\n", + "\n", + "The frequency $f_N = f_s / 2$ is called the **Nyquist frequency**. It represents the highest frequency that can be accurately captured at a given sampling rate.\n", + "\n", + "The intuition is straightforward: to capture an oscillation, we need at least two samples per cycle, one near the peak and one near the trough. With fewer than two samples per cycle, we cannot distinguish the oscillation from slower waves or even from a constant signal.\n", + "\n", + "**Examples**:\n", + "- At $f_s$ = 256 Hz, the Nyquist frequency is 128 Hz. We can accurately capture any frequency up to 128 Hz.\n", + "- To capture gamma oscillations at 80 Hz, we need $f_s$ > 160 Hz.\n", + "- A 10 Hz alpha wave requires $f_s$ > 20 Hz at minimum." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "db47c9e4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 3: Nyquist theorem demonstration\n", + "\n", + "duration = 1.0\n", + "frequency = 10.0 # Hz - our target signal\n", + "\n", + "# Reference signal\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_ref = generate_sine_wave(t_ref, frequency)\n", + "\n", + "# Three sampling scenarios\n", + "scenarios = [\n", + " (100, \"Good: fs=100 Hz > 2×10 Hz\", COLORS[\"signal_1\"]),\n", + " (25, \"Borderline: fs=25 Hz = 2.5×10 Hz\", COLORS[\"signal_4\"]),\n", + " (15, \"Bad: fs=15 Hz < 2×10 Hz\", COLORS[\"signal_2\"]),\n", + "]\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 10), dpi=150)\n", + "\n", + "for ax, (fs, title, color) in zip(axes, scenarios):\n", + " t = generate_time_vector(duration, fs)\n", + " signal = generate_sine_wave(t, frequency)\n", + " \n", + " # Reference\n", + " ax.plot(t_ref, signal_ref, color=\"gray\", linewidth=1, alpha=0.5, \n", + " label=\"Original 10 Hz\")\n", + " # Samples and reconstruction\n", + " ax.scatter(t, signal, color=color, s=60, zorder=5)\n", + " ax.plot(t, signal, color=color, linewidth=2, linestyle=\"--\", \n", + " label=f\"Sampled at {fs} Hz\")\n", + " \n", + " ax.set_xlabel(\"Time (s)\")\n", + " ax.set_ylabel(\"Amplitude\")\n", + " ax.set_title(title)\n", + " ax.legend(loc=\"upper right\")\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "87a50915", + "metadata": {}, + "source": [ + "The top panel shows adequate sampling: 100 Hz gives us 10 samples per cycle of our 10 Hz signal. The middle panel shows borderline sampling: 25 Hz gives 2.5 samples per cycle, which is just above the Nyquist limit. The bottom panel shows inadequate sampling: 15 Hz gives only 1.5 samples per cycle, violating the Nyquist theorem.\n", + "\n", + "Notice how in the bottom panel, the samples no longer trace out the original 10 Hz wave. Instead, they suggest a different, slower oscillation. This phenomenon is called **aliasing**." + ] + }, + { + "cell_type": "markdown", + "id": "178ad08e", + "metadata": {}, + "source": [ + "### [Optional Deep Dive] Mathematical Basis\n", + "\n", + "The Nyquist-Shannon sampling theorem has a rigorous mathematical foundation. In its complete form, it states that a band-limited signal (one containing no frequencies above some maximum $f_{max}$) can be perfectly reconstructed from its samples if:\n", + "\n", + "$$f_s > 2 f_{max}$$\n", + "\n", + "The reconstruction is achieved through **sinc interpolation**:\n", + "\n", + "$$x(t) = \\sum_{n=-\\infty}^{\\infty} x[n] \\cdot \\text{sinc}\\left(\\frac{t - nT_s}{T_s}\\right)$$\n", + "\n", + "where $T_s = 1/f_s$ is the sampling period and $\\text{sinc}(x) = \\sin(\\pi x)/(\\pi x)$.\n", + "\n", + "This theorem tells us that no information is lost when we sample at more than twice the highest frequency, and the original continuous signal can be perfectly recovered. In practice, we cannot achieve perfect reconstruction due to finite signal duration and numerical precision, but the theorem guides our choice of sampling rate." + ] + }, + { + "cell_type": "markdown", + "id": "32bb9025", + "metadata": {}, + "source": [ + "## Section 5: Aliasing\n", + "\n", + "When the Nyquist theorem is violated (when we sample a frequency $f$ at a rate $f_s < 2f$), something remarkable and dangerous happens: the high frequency appears as a lower frequency in our sampled data. This phenomenon is called **aliasing**.\n", + "\n", + "The aliased frequency can be computed as:\n", + "\n", + "$$f_{aliased} = |f - k \\cdot f_s|$$\n", + "\n", + "where $k$ is the integer that makes $f_{aliased}$ fall below the Nyquist frequency.\n", + "\n", + "For example, a 40 Hz signal sampled at 50 Hz will appear as:\n", + "$$f_{aliased} = |40 - 1 \\times 50| = 10 \\text{ Hz}$$\n", + "\n", + "This is dangerous because the aliased signal is indistinguishable from a true 10 Hz signal. We have no way of knowing, from the sampled data alone, whether we are looking at a real 10 Hz oscillation or an aliased 40 Hz artifact." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "3573a632", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Aliasing examples:\n", + "--------------------------------------------------\n", + " 40 Hz sampled at 50 Hz -> 10.0 Hz\n", + " 60 Hz sampled at 50 Hz -> 10.0 Hz\n", + " 90 Hz sampled at 100 Hz -> 10.0 Hz\n", + " 10 Hz sampled at 100 Hz -> 10.0 Hz\n" + ] + } + ], + "source": [ + "# Test the aliasing function\n", + "test_cases = [\n", + " (40, 50, 10), # 40 Hz sampled at 50 Hz -> 10 Hz\n", + " (60, 50, 10), # 60 Hz sampled at 50 Hz -> 10 Hz\n", + " (90, 100, 10), # 90 Hz sampled at 100 Hz -> 10 Hz\n", + " (10, 100, 10), # 10 Hz sampled at 100 Hz -> 10 Hz (no aliasing)\n", + "]\n", + "\n", + "print(\"Aliasing examples:\")\n", + "print(\"-\" * 50)\n", + "for true_f, fs, expected in test_cases:\n", + " aliased = compute_aliased_frequency(true_f, fs)\n", + " print(f\"{true_f:3.0f} Hz sampled at {fs:3.0f} Hz -> {aliased:5.1f} Hz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "d3c67964", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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L+Pj4sq+BY88aIxyT2P/oIfbnf/7n0tfXp+zzzjvvvFV9HuuYtitrXvayl+Vf37otpeZBf7OPf/zj8vjHPz4/Hvgsj370o9U4TU1NiVOYnJyU97znPWrbsI3YVmwzxg1zJz5LNVjvmO3fvz+/P1BoUYpf//rX+ecgYYVjvhT4/uA5+A7g/LNWYLv429/+Vn2f8D2zvpuwaty6das897nPVYUhTkqQQZlmzRnYZlh0LqXMx/cToEcfPqdTsH/3V3Nb6nu7HPa5AMdTKTCO8/Pz6v5ll12mbss9H3OaZXkOJa691yHsnKGcvOqqq9S8hfH3+/3qJ855r3/969U5cCnwP/isWDtBTbgSmKet8YGyc6kkJnqTPuMZz1DnG6wRWlpa5JxzzlHn4kOHDq34PoQQQgipA0xCCCGEEOIZrrzySjSaUbdf//rXa3r+2NiYeckll+QfL761t7ebd95557Kvh/fs7e1d8jVwi0aj5ve+9711f8ZnPOMZ+df69re/bW6EP/7xj8tuq3XbunWr+ac//WlV4zg4OGiee+65S77WFVdcYcbjcfV///zP/7zsON1yyy0l3+/QoUP5511zzTXme9/7XlPTtCVf6+qrrzYNwyj5Wvh/63l43VJks1nzrW99q+nz+ZYdp4suusg8ceJEydf44Q9/aEYikRXH+tJLLzU3SjqdNnt6etTrXXbZZfnff/3rX8+/z1e/+tUVj2XruV/4whfM17zmNUtus67r5vvf//4lXwvbYB1HOOb6+vqWfK0zzjjDPHr06LLbhs/R3Ny87Dji8//2t78t+f/j4+PLHi/27/yvfvWrJbfDfuzgc5WaP/BdWA32Y3ql7+Ji7rjjDnNgYGDFz/KLX/zC3Ag4Duzfu/Xwf//3f2ZbW9uy27plyxbzrrvuWvI1MAaLj+2ljrel2OiY9ff3q+c84QlPKPn3t7/97UWvhWO2FNb54mlPe5q5Hj72sY+t6rh5/OMfb05MTJiVYLljsxRf/vKX8//zb//2b6t+7rve9a51bZ/9u7XUMbPccYbbct/99X5vVyIWi5kNDQ3L/v973vMe9fft27erxz/96U/V40AgYM7NzZ3y/O985zv5bXrDG95Q9LflztvWDefAj3zkIyW35aMf/Wj+eXifldizZ496bldXl5lKpU75+913322edtppy24PPuenPvWpFd+LEEIIId6GPfkIIYQQQoji2c9+tqqKh3rmOc95jlI+QXX3uc99TvW5gXLohS98odx3331KobMY9MZ78pOfrCrPocr427/9W6XYgpoC6j6oEKAagaLjr/7qr5TCbD1WWbDjgqIK/MM//IOqxocSaT1AOQL1ChReUNGgxx8q+7G9R48elW9961vygx/8QCkvoOD605/+pJRnywHlyP333y+vfe1rVV8lvN7DDz+slDt33323+twf/vCHlYILahmoZl7zmtfIGWecoRSDUBJADQVVwYtf/GJ54IEHlJpgKX7605+q/YYq/7e+9a1KEQZFFZR9UIZhv/37v/+7UhdYqr+18qpXvSqvjIOCAI+hvoPqB4owKGWg5PvDH/4gT3nKU+Tmm29WShoL7HModjCusLx7xSteocYc6iGoGHCc3XXXXfJ///d/Ug5+/OMf5xWjUFlaQNmI/QclFSw7cTyvBvTDwmfD8fGWt7xFzj77bKWCwvZ+7GMfU/ff9ra3qc9jf7/F4PPju4U+kTg+8J3D9kBNin0Ee1EoRTA2UDRirBbz5S9/Wb0Hcgt4P7wOVCbY/9PT06pnJV4Lnx/74tZbb5U9e/YUvQZUTZZqDu+Fz4N9ieMGxz2OKRyHOHYwZuhhCJXrcmDewD7EZ8JxC+UOlGDLKV/sYL6BwgbH8stf/nL1O6gJ8R2yg++rnQMHDqjPYSkXoXjB+GDewRh8/etfl6985Svqs2A8oJy9+OKLpRZg/8JSEPMOxh+KXahvobrFuEOxg7kN9zE34hhAP8lyU44xw3yJYxFWiVAnL7ab/OUvf3nKY3xWOziXQKFmvd56wFhCVYz5GQpUqOJw/oFiC58TVpgYR5yfYNn7ox/9SGoNPrcF5pTlsP8d5xWngHnHUhkuxde+9rW8Lel6lHyY/3Dc4fjDORiqtcXfB8t601LwXXrppWp9gnUI1hxPetKTSj6/VD8+HEuYC3EsXXDBBWpOhboZ5zjM/3A5wHcC5wAo5hd/fpzj/vEf/1G9zpe+9CU11y8F5jmc28GLXvQi9T52sK/xWbAOgHoP8ys+I8YR8zS2B6pfjAnWD1BiY94lhBBCSJ1S6ywjIYQQQghxhpIPFeo/+tGPSj7vRS96Uf55pZ4zPT1tdnd355VYSykmoHKzKtN3796tFGJr5eTJk0rlZldRXX755UrlgCp+/H21TE5OmsPDw8s+52c/+5l6j+VUF/Zx9Pv95vXXX3/Kc6ampsxNmzap50CFFQwGzZe97GUlx+C1r31t/vWggFtJ9QRFAJSYizl48GBeKYPt2r9//5qVfF/72tfyf//Qhz60pCLwW9/6Vl4d9u53v7vob5///Ofzr7GSirPU51grf/EXf6Heq7Gx0ZydnS36m6XIw7YupVxcrOSzFDCWAtPObbfdpt4Hz2lpaSl57FvKKut4/fGPf3zKc3AcvOAFL8g/7x3veEfJ/RkOh9Xfn/vc5yqlSyn27dtndnZ2Lqm0SiaTy352AGWe9bmuuuqqks9ZrOaBkmWjLFZQrsTjHve4/POh6llJDXX66aeva95ZrOTDcXTPPfcsebv//vuL/jeTyZi7du3K//91111X8j0wx1jPWUolt1ElXznG7Etf+lL+74vVnjgfWKrfZz/72ernjh07TnmPj3/84/nXWE65uBxHjhwp+b1cSlV40003meVmrWo1+/cc88dy4PxkPfdRj3rUurbPfr648MILlz1u7TfrfLWesNGNN96oznH4XyhG13JetoN50NqG//7v/y76G9Rv1hxlnyvwGfG7t73tbae83tlnn52fhxfP1Zg3lwPPP+uss9T/Yx1T6lz49Kc/Pa+wGxkZWfK1Xve61+U/F+ZaO/iunXnmmfl10lLKbpzbcExYqtuZmZllt58QQggh3oVJPkIIIYQQD7GRJB8sHZcCAT/reW95y1tO+fsHP/jBfGDr2LFjy74nklZLBYdXC/6vo6NjSQurzZs3my95yUtU0m+ppNRaeNaznqVe97zzzltxHN/4xjeuKtiM5NtSwekHH3ww/7w3v/nNKyb5fve73y35nkgmLGVPtpok3969e9XfnvzkJ5sr8ZznPKdksNuyVMMNyc5KgmCylWDAflnMrbfemt+Wd77znatKNiFBevjw4SWfi6Tmcokue5Lvla985ZKvg+SIdVwjSYdkXKnkL+zdFicvF/OJT3wi/55IDq6HN73pTer/YS9Z6ntkP3bKYbO61iSf3W53pfd/3vOel3/uD37wgw0n+Va6IeFrB8lt628omlgKjPPFF1+cf24pm+CNJPnKNWaY562/YV4rNceHQiFl8bzU/GJZL+NYL8c8vZx9r5X0xjFd6yQfrEmt/3nggQeWfS4S+dZzkWBaD6u1wl3uthZQTIKkk1XQAtvJ9YJzvbUNOKfbgR1xqWMLaxT8Dt8jO6Ojo/lClPPPP39d2/P9739/2cS03Q702muvLfkamNetef6cc8455e/f/OY386+xlGW3BcZ2qSQoIYQQQuoHvdZKQkIIIYQQ4gyuvPLKJf925plnSmNjo7oPC7TFwM4TwC4NFlfLYbfIgtXbesBr7N+/X97xjneUtAGDvRbs5p761Kcq+0rLFmslYIN18uRJ9dr33ntv/gYrQwA7QdiALcdyllnnn39+/j6svmDDVQpYzsF+Cxw8eHDZ94MVIyw/lwLWqC0tLer+Wu0wYbVoWcTBUmwlrH0LazXsAwv7MQEr0koCmzTsR1DKOhMWspYF3he/+EVlXbkSV1xxhbIyXArYj1qsNMb25y4GNoPPe97z1P2xsTFlM2jnu9/9rvr59Kc/PX98lON7hjwFbBofeuihouO+tbVV/R32pocPH173/FEpfv7zn+fvv/rVr17RXrDU/1UL+3vCyngpYOMJ+71S/+ekMcN3+vTTT1/SmhPAbhBzXl9f3ynPw3f0hhtuyB+r+NzlIJFIyLFjx9Scbx3HmMesOWjxd6oWwN53KfvZxdhtUO3/51Qwb+G8C1tL2Ex/85vfVBaY6+VRj3pUfgys42Wx9SbmZvs6wLLuvOOOO5QFtgX+P5eTPdWqsxSY93D+hb2qdSzZbTVLHUuw+oQ1tnUuKsVPfvITZSe71DnKWk/BInkla2GMrfV+611PEUIIIcT9MMlHCCGEEEIUi/t22UEAFn2PgNXHyR6sRTANoO8RnrvcDb3oLAYHB9c9+ghsvetd71I9adDTDAG1N73pTSrRaA+MYtsQbEYCoxSpVEr+4z/+Qz0HiRP0BkN/PATPrJuVmMJnRZ+x9Y6jvZ8f3mM5rOcuHu/FXHLJJcv+HUFkK7mIcUIQfLWg748F+lmttG9f//rXl9y36KvW3d2d76N43nnnyb/+67+q42Wl8Vwr6LUH0LvJCvYuxgqsovcZetitxEpjjN54VpAZfRuX2xfo9bQc9qCu/bWwrVb/MnzGlfaFPbBe6nuG5CYS4UhgIrmIvnBI2tiPe3sPRwTvlwP7tNqgx6XFcolua1ytXqLL7aPVcs0116iEwVK3xce1ta1IfCDRvBz2z1KObS21HYvfZz1jZvXRQ38x+zxlJfOsv1s/7Um+22+/XfWQtP99vaDn59vf/naVvMccjn5puG8/ltEvcjXHcTWw99rE+Wc50O+w1P+tF8yJyx239ttyhQ2lwLkFc71VCPSf//mfp/TEWysohEGiz5oD7UUvi/vxWWANoOu66o2HvnyLn79ckg/9/9CrFecrrHl27typ+v5axxF6alqUOpYwx1u9XtHLFIVBi7GSf5gL0MdvqfMuPutK8zxuVsJwI+spQgghhLgbJvkIIYQQQojCUuotuXDUc0tHSyVlr3ZHMG09xGKxsow+lG9IQn3sYx+TG2+8UUZHR+Xaa6/Nq52wjW984xtP+T+o9pB0ufrqq+X3v//9qhJgK23zcuNojeFKz1tuvEslmFYCCRyAwK0VEFxt8Hy92McJSkIo3KwEKBIGSCAhuI9AKhJEeLzRICUCtFYy10pKluIlL3lJPnnx+c9/fsXXXcsYLze++KwI7K7mdRYHkcu1LwASMo9//OPVGCHJaVe7rPY1FmMVAVQT+1jbx22pZIGlTFzLd6BcWO+JbbAXIZTCUr7Z/6/c21GOMbOSc3ZVHhShUDzZ/279RFLfwp7ww7G4XjDfIzn93ve+V6n3Vpovy3XO2Qj2QpeVvnv2v9v/z2ng3ILiCZxHwVvf+lZ55StfWZbXvvzyy09J1EFRb73X4iQfjtlzzjlH3f/1r399yv9i7n/sYx97yvu8+c1vVr//+te/rtYQK7HUsWRXNS9W82FO/+lPf6ruQ/FoFb/YWe9c74RjmxBCCCG1YfkrTEIIIYQQQlbAnuB74hOfKB/5yEdWPWZ2ZVs5QTAUST0oEZ797Ger3yHJhGSf/T2R5IAVF3jKU54iV111lZx77rkq+A3VhJUIeuc73yn/9m//pu5bdl/1tm+hdiwVGF0KKOnsIJEHVQP2w49+9COlsIAVKBRlSPrh9sEPflA+/elPq/2yHuwJOygFcVuJH/zgB8parhZJqvXuCwTT3/KWt6z6fxcHkhHMtpIyUMnAlvHCCy+UTZs2SSQSyScioRjEd2I1x731XSH1g2WziWMDSTvYyFqJPCRaHvGIRxQl+awEIJRRVpJvYGBAFWmsB8znz33uc5UiEMcfbFCf9axnye7du5XFMpKpVqIfcxeKAJwwf0NpaAF1Gr57S4G/l/o/p/HP//zP8o1vfCNvEf2+972vrMeZpSpGou7lL3+5UrtZSa1Sim38DupNK7GH5Jp1rkdhD9TLdq677jpVJGSNM+ZIKAKxhsB6wrJVhboO6j6w1LGE/QmLc7zf//zP/8gHPvCB/Pz41a9+NW/5vZTFsTXX4zWQcFwtKxUOEUIIIcS7MMlHCCGEEEI2BGwzrUAvlHAI4DoFBHxhv3nixAmVTHr44YdVjz4AxZcVaEYfNCtAWQokgZwKAucrYdk8Yj9Z/XtWg9WLECDpudF9i0An1Au4AQTnkWxCIBPjj55TL3vZy5QKY632j7Ozs/Ktb31rzdsEOzwEeN/whjeUZYyXG18cRwjgLqfms14HdHZ2ltwXOJbXuy8wTvi8VoIPiY+lEnROPu4XjzXGzQq+lwJzk2WhuZbvQLmw3hPbgGNuOTWf/Rgo97aWc8wsFS5sCa251PoJ9ZV1XFmJPGvO3bVrV16FtREVH77vltr1k5/8ZFEvQycfy0jeWKDQ4TnPec6Sz7V6oi7+PycBO+v3v//9+Tnly1/+ctl6LFp2yTj/4PxgJe0shR56LZY6hpHk+/jHP67sujHn4f+W68cHa1FLdX7rrbcuqXJd7XGEBN4//uM/qu8YCluscx7Gxvo+oX9fKTDXo6cttttJ6ylCCCGEOBfadRJCCCGEkA0RCATy1ljos4RAnJNAkq+UXaa9N1WpvjhL9aZzGrfccsuyf4dqAEF4AFs7WPCtFkuJY9nilRsEVJ/xjGcodYMVJEYCa7mE61IgUWgpO/7u7/5Ovva1r614sxJnVh+/9Y4xkoCHDx9W96EEXQr037rzzjuXfS0EmC3srwVlpKU2hApyvYok9GW0+ny94AUvWFaBV4vjfi3JAWveAVbSaLnPYlk5LrePKoW1rUjyrjSu9s9S7m0t95hZKj0o9PA9WNyPz8JK5uHvv/vd7/LWyBvpx2fvd7bcHA572v3794tTsCui7XaSpbD/fakeo7Xk5z//uVICgx07dihl9FrOMasBKjqrf+SxY8dUz7+l+vHZxxhzCY5fFDKs1I/POpZwnC5nY7vaOfHFL35xfm61LDuh7LP6F7/oRS/KqwOXOu9CxXnkyJFVvR8hhBBC6hsm+QghhBBCyIaBZRpAkgW2jpVkLcmN+fl51afJSvDZLSTt9od43nIJnttuu02cCj7fcsH6b37zm0oxB570pCet6bUR2LdUEki8IcBaKezbtpp+SEtZdSJwCntVJLBWulnHLaxCreBrKa6//vplg62f+9znSn6OlZ5bKhmB/WWp+GArZ4HjF8pUyzLuO9/5jqyH1R73CDAjYF9toNixsJKRS/HkJz85fx82r8vxqU99quT/VQv7e9q3pRT2z7LW7+xatqMcY2ZP0kHRZSW7FyfvrMdQ7kLZZLERJd9qj2WotNbbN7YSbNu2LW/RieST1Ud0MVBRWupk9AV9zGMeI04CiTFYc2JsYYONXnN2xXE5sfflQ2Lx5ptvPuX3dqCUs5SPSJRaST6oqEuNo3V8LHcc4TkrfXftfTVhXw5++MMfqn1p788Hy+WlsM5L4EMf+tCq3o8QQggh9Q2TfIQQQgghZMPA6tCyFnz729++YnJgbm5OPvrRjyrV1lp53eteJ9dcc02Rpd1SCrZXv/rVyvLKqt63911D3yaLL3zhCyWTh0h0rKTycwKveMUrStqIIeD+93//9/ngpqW4WC1QQlh97aDQfOYznyknT55cMem4uI/Q//7v/xb1lioFAsQWy1kIlgIKCUsBh6QI+oGtBiT6SvXzKxXchf2apT6yg+Sg1X8KfZ6WC95a7/OTn/zklN/ju4CeYuPj4+oxrAcXKz3Q98qyeXzVq16VD3QvBawMYWNoB7aJlqIVCspSylv0OkPwHsrDaoO+gBYrqa+gSrOSREh0L9UHDJ/TOibxvbes86oJrPms3nNQkWKbSoHPYO3XK664Qs4+++yybke5xwx9y6DmBh/+8IfzCY49e/aU7N+HRPZnP/vZ/OvaldZrxT6HL/X9hXLQ6ufmJP7pn/4p/73HeWrxdw3nI5zrcK4Eb33rW4uU6LVmcHBQnva0p6n9iXnqe9/7XtH+KDd29R3WDsv147Ow/oZts2xPYdfd1NR0ynOtbYdKutS8g/109dVXK8XqarHOBThv4Ptk2STjO20v4FjMC1/4QjnjjDPUfRRNrZRYxLGD4381ttKEEEII8SbsyUcIIYQQQspiu/jtb39bVa4j4ATFEQKAf/mXf6mCZ7DvQiU7EkCwffzxj3+sKuaRHFxr4BLJLAS93v3ud6sqftzOP/986e7uVsFGqMCgvPviF7+YV0g0NjbKxz72sVNUagi0wT4RSi28DoKqsBxDYBXV/0iQQAV36aWXKos5J4KgJT4vemOhB9BFF12kLMowzh/84AfzyT8kX9cThEWSE3Znn/nMZ5Tt5969e+XlL3+5ShQgIYMEGIKLd911l0peIdmG/7En0KACRIATCQEk4ZBowP5C4BT9Er///e/LV77ylfyxhITaWrDbbT7/+c9f9f9he/AZkLhE4gXB41JWcxdffLFSIEF985a3vEUFaZEcgyIJx5UVcEYPKChalgIqFwSY8f1AYP/Zz362ej4sNHGsWYpMBHitJIAdJD/xWWEFh0Qcth/JOFie4m9I5GJ/IxCN5AYUL3jP17/+9fnXQKIbyVoEvvE89NCCvSneE4lxJJjwObBfYHlXCZvW5UCPLShuDx06pALXSBbhGLf2CxJK9iQwEkb4HiPZgCQojj8E17ds2SIjIyPq2LMUNPhf3K9FsgTviTkJiQd8Z7APMe+gHyhUWlDJ4u/4LgAkqvGdqwTlHDPMrfh+IDliKYZLWXCiCARzLuYJ63kbUfFZ33XMa/j+ofADNo445yDJiCQUjnFsO1RdGM9yWHbic6K3aylw3sA+tIP+g6WUY+jDh+8hCmJwrsE5BgUZeD76sf37v/+7/OIXv1DPxfGPc5OTQCLKUna/+c1vVmO8XAIM52bYRa8XnNdwrGHdYI0/5m4rcV4KfNeQJMNxsZxVJ8A57Y1vfKM6lvB///AP/5Cfd1BEgjUHzrNrmROxf3HcYe2D49Tqb7nS+Q3z+He/+11lUYr/QXEOkoSYM9CjD+OA7y7OGzhn4BjCvI/1DuYSQgghhNQhJiGEEEII8QxXXnkl5Gjq9utf/3pNz1+JrVu3qudddtllSz7n1ltvNXfu3Jl/zeVu0WjUzGQya/6Mb3nLW0xN01b1Hridfvrp5i233FLytR544AGzt7d3yf8NBoPmf/3Xf5nXXHNN/neHDh1a9zhin1jP+8IXvrDu8cY2WK+DbXv/+9+/7Ji87nWvMw3DKPk+K302gP9973vfq8ZjNWP+2te+dsnxWe7W09Nj3nTTTeZaSKVSZldXl/r/cDhszs7Orun/3/jGN+bf/7rrrltyX+EzLbXduq6rfbAU2Id4HvbpXXfdZfb19S35Wrt37zaPHj267Db/5Cc/Mbu7u1c1pnv37j3l/4eGhtT7LPd5/uVf/kV97uXmk9UcO+vhy1/+8pLbhjFczB133GFu3rx52XFob283r7/++g1tl3088NnXw//93/+ZbW1ty27rli1b1HGy3rnYfrwtRTnHzH4cLDe3Ye62P+/b3/62uVG+8Y1vmA0NDUt+BnzXMP+vZkxWw2rnMuuG5y/F/Py8+bSnPW3Z/7/kkkvMkZGRDW2z/Xyx3Pl7qeMMt+X+tprbRscdPPGJTyx6zRe+8IXLPh/z3OLtWOp4xlrkuc997rKfAfsKa4a1zAF/+7d/W/Qafr9fbddqePDBB80LLrhgVeOLc/NK5w1CCCGEeBfn+D0QQgghhBDXg2r7ffv2KdUWFEboPYSqc1SmQ0H0iEc8Ql75ylcqpQjsNn0+35rfA5ZwUBlBMYHXgooE1etQCkB1AmUUlGIvfelLlboQ6gI8pxRQL6EfG6r2cR9V+9heqANQPQ8rRlhhOh1YuaHnEMYcSiiMBZRyUHhBzQVVCKzy1gv+F8oyqKtg3wk1A8Yc440xw3tCvfOOd7xDqYIW92WE2g3Wf7CjhHIMx0UkElHb2dvbq/4Xz4EyYa19p9DvyOrhB/VoKSu2clh24jNBMYH3wDZj26EkgaIFfRuxD1aDpWZ629veplSR2F7coKz6wAc+oP42MDCw7GvAOhFWrFCXPP3pT1fjj/2A/QHl3iWXXKKs5X70ox+p11sM9t3tt98u73rXu9T2oA8eblDQQWUCtRKUUbXiJS95iVK5QemIsbAsSpcCY4dj59prr1VKHYwBxgLqIhxvUP1CzfOEJzxBag3UztgWbBO2Ddto7TdsO1SUmEOxXypJOcdsqf57yz0Pc8pSqqq1ACUkFFY4ZvA9sM4BUHfjGEbfuKXm/1qDORCqdpyn8D3GfIJ5Bd9PjBXmI3wXK9Xnzm0sPl6Ws+oEGEfL9hJgbKGOKwXWIuh/aKltoSjHsYR9gvkWSm/sq1JK7+VYrNpDb8vVqu2wDsE8jfMOjm88jkajaluhEMQ6B7/HNmM9tdJ5gxBCCCHeRUOmr9YbQQghhBBCCFk9SPAgIQMQyHZizym3g6SpFVRGz8aVeu0tB6xgYfe5detWte8IIYQQQgghhJByQCUfIYQQQgghhBBCCCGEEEIIIS6DST5CCCGEEEIIIYQQQgghhBBCXAaTfIQQQgghhBBCCCGEEEIIIYS4DCb5CCGEEEIIIYQQQgghhBBCCHEZTPIRQgghhBBCCCGEEEIIIYQQ4jI00zTNWm8EIYQQQgghhBBCCCGEEEIIIWT1UMlHCCGEEEIIIYQQQgghhBBCiMtgko8QQgghhBBCCCGEEEIIIYQQl8EkHyGEEEIIIYQQQgghhBBCCCEug0m+OuT1//RedSOEEEIIIYQQQgghhBBCCCHuxF/rDSDV59jJIQ77KpmdnVU/o9Eox4wQ4lg4VxFC3ALnK0KIG+BcRQhxC5yvCCFugHNVZaGSjxBCCCGEEEIIIYQQQgghhBCXwSQfIYQQQgghhBBCCCGEEEIIIS6DST5CCCGEEEIIIYQQQgghhBBCXAaTfIQQQgghhBBCCCGEEEIIIYS4DCb5CCGEEEIIIYQQQgghhBBCCHEZTPIRQgghhBBCCCGEEEIIIYQQ4jKY5COEEEIIIYQQQgghhBBCCCHEZTDJRwghhBBCCCGEEEIIIYQQQojLYJKPEEIIIYQQQgghhBBCCCGEEJfBJB8hhBBCCCGEEEIIIYQQQgghLoNJPkIIIYQQQgghhBBCCCGEEEJcBpN8hBBCCCGEEEIIIYQQQgghhLgMJvkIIYQQQgghhBBCCCGEEEIIcRn+Wm+Ak7hv/wG5+fa75N4HHpJ79j0sI6Pj6vf33PC9db3e9OycfOoLX5df/fYPMjYxKZ3tbfLnf3axvOZvXiDN0caS/5PNZuV/vvMT+d5PfynHTgxJJBySR55/lrzuZS+QHdsGNvT5CCGEEEIIIYQQQgghhBBCiDdgks/GZ778Tfn1b/9QloGdnJqRF7/2bXL0xKBs3tQjj3/MxXLg8FG57ts/lt/eeqdc95/vl5bmaNH/GIYhb7nmQ/LLm26VaFOjPPZRj5DJ6Rm5/oab5aZb7pDPX/suOXvP6WXZPkIIIYQQQgghhBBCCCGEEOJemOSzce6Zu+X0HVvlrDNOk7PO2CVPesGrJZVKr2tgP/Dvn1cJvic89hL50DV/L36/T/3+fR//nHz1uz+RD/7HF+Q9//SGov+Beg8Jvq2b++SLn3yvdLa3qt8jyffmd35Q3vZv18oPvvzJ/GsRQgghhBBCCCGEEEIIIYSQ+oQ9+Wxc9aLnyNVXvUguv/SR0tnRtu5BHR2fkP/95W8lEPDL2//u1UVJube85kppb22Wn1x/g4xPThX935e/+UP18+/+9sp8gg9ccdmj1DYhafjr35VHaUgIIYQQQgghhBBCCCGEEELcC5N8FeC3t/5RWW9ecM7eomQdaGgIyGWPfqRks4bcdMud+d8fHxyWg0eOSyjYoGw6F/PEyx6tfv7m97dVYpMJIYQQQgghhBBCCCGEEEKIi2CSrwI8eOCw+rn3tB0l/77n9B1FzwP7H87d37V9iwT8/iX/56EDRyqxyYSsG9M0JZVJylxyRjLZ9dnbEkJINTBMQ2KpOYmn5sU0DQ46IcSxpLMptbbCT0IIcSpYT2FdhfUV1lmEEOJUEK/C2grxK8SxCCHES7AnXwUYHB5VP3u6Okr+3fq99TwwtMr/OTk8surteNaVxT3/LGD7ubmvR2ZnZ1f9WvVKLBar9SY4kmQmLsNzR2UyMSaJ9LxkzUz+bwG9QUKBRukI90h304D49UBNt5WQeoBzVWlw8TaVGJXhueMSS8+oucuU3AWdJpoE/RFpamiWnqYt0hxsF03TqrrfCKlHOF+VJpVNysjcMZmIj0giMy8Zo1A4hbVUyN8o7eFutbZq8AWrtr8IqVc4Vy29tppJTsjw3DGZT01LIhPLr62wugr5wxIJRNVc1Rbq4tqKEM5XNQNrqZG54zIRH5J4el7SRqFwyqf5VdyqNdQpvU1bJOgP81glpMJwbbUy0WhU1guTfBUgFk+on6FQ6QvwcCikfs7H4uv4n9zzCKkFs8kpOTFzQCbiw0s+BwundDIls8lJOTr9oHRGNsnm5p1qAUUIIdXAMLMyNHtEBmePSDJbONfaQUAKgXTcxmKDEvY3SV90q/Q0DYim0eiAEFId5lOzam01Hhu0BcpPDVLNpabU7dj0Q9IR6ZX+5p3S2NDM3UQIqVpyD4m9wbnDEk/PLfUslfTDDdeLQV9YeqNb1fpK13zcU4SQqoA56Pj0ARmLnVhSYYxCdRQq4IZ1WHu4R/qbd0g02Ma9RAhxJUzyeZjvf+kTyyr8NpIdrjfqfawMIysPj94nh8b2qYu30min/A0LqpH54ypwtbv3PNnctpPVnKRimFlDsseGJXN4UMx4UsxMVjS/T7RwUPzb+sQ30COaz9vJm3qfq8BsYkruPX6LzCWn1/R/8cycHJy8TyYSQ3JW/8XSGORYksrB+YrzFSzuDo3tl4dH713GPvjUtRUSgShMGI8Py66us2R7524WJhDOVRWEaytRVpz3nPiDTMXG1jR2KLQ6MrVPxuODcs7mSyQaaq3YfiKEayvOVyhGOD55UPYP3yVZo+A2tdLaCqAwAbdtHWfIad1nia6zMIFUBs5VnKsqBZN8FSASzqnuEolkyb/HEzk1XmMkvI7/yT2PkGoxl5iWu0/cogLndsKBRhlo3yltkS6JNDRJwBdUVni4CBybG1KLq3Q2dzxnzazcP3iHjMyelLM2PVKCAVohkPJhJpKS3ndU0geOiySKexdZy/fsiVHRQg3i37lZAmdsEW0J1TRx90Xd4fH98tDIPYsC5pp0RzfJptZt0hhsVnMXjgzMVejJcHLqkJqzLKbi43LzwZ/L7h4UJuxgYQIp73HK+YrkA+a3nhIwh1UU5p2Oxh61tmrwhySVSajnj8+PyPHJA2qtlZvzDHlo5G4ZnTspZ/dfrJ5PCOcqUtZzlmnKiamDsm/o1IB5R1Ov9Ldul6Zg88L8oyk7vHm1tjoio7Mn8upkFF7dfPD6hcKEM7i2IuU9Trm2IqqlTELuO/EHGZ0bLBqPgK9Bra06m/rUXIW1FuJUWFtNxsbk2OQBiacK6uTD4/tkbI6FCaT8cK4ilYZJvgrQ19Olfg6Pjpf8u/V763mgd5X/s6mnu+zbS8hSTM6Pyh1Hbyy6qMPC6Ize89UiaXH/qlAgom7tjd2yq+tMGZw+KvuH/5RP9mGxdMuhX8gjtz2OwShSFozJWUn85k4xV2FlbCZSkr7voGQOnZTQ5ReI3kallldAsPveE7fJyenDRb8faNsp27v2SjgQOeV/UE2OW1/LFplPzsqB0ftkcPqI+hvmvPsHb5f51IxK9rFXHykHnK8IQNHU7Yd/o3rwWSDgdEbvedLdvFn0RXbBKIzCra2xS3Z07ZGRmROyf+iPklhI9iFReMvBX8iF2y6T5hAtpgjnKlK+BN+Dw39SBVR2sG7a2XVWSccDJPxw62neLIl0TA6OPiDHJh8uKkyYT07Lmf0XnTLXEbIeuLYiAAk7rK1QaGBP7p3ec670tWwV3yJVHoqocGuNdMq2jt0qToVihlhqNl+YcOuhX8oFW/5MxbYI2Sicq0g14MqqApy+c5v6ef9DB0v+/YEHDxY9D+zelbv/8KGjks5klvyf03ZurcQmE3IK43PDcseRG4oSfANtu+RRO58kXdFNKwa9YW/Q37ZdLsXzm/ryv8cF3x8O/UpVeRKy0YVS/Po/rCrBZwfPx//h/4n7gS3w3cdvLUrwIWD+iK2Xyd5NF5ZM8C0GgSrYSJ27+dHqgtDiyPiD8sDgHSrQRciGjlPOV0REpuMTctvhXxcl+Hpbtsilu56sfq4U9Mbfe1sG5NG7nqyCVhYoprrt8G9kOl66WJAQzlVkLWDds2/ozqIEn9/XIOdufpScs/lRq7I0R+Hn3k2PUOsxrMssTk4fkbuP37JknyxCOF+RtYBizdsO/aoowYeC9Et3Plkp+BYn+BaDuBbiW4/e+UTZ0r4r/3vEwe44cmOR4wsh64HXgaRaMMlXAR5z8fmi67rceff9Mj5ZbHGYSqXlht/fJj6fLn92yQX532/u65EdWzdLIpmSG2++45TX/PkNv1c/L3/0IyuxyYQUMTo7KHdCwWdm1WM0Sj9/4DHqQs2vr00AjOrz87f8mezuOTf/O1hN/eHwr0+xACVkLVYHUPBJeimv/RVIZ3IKwCUskol7+oX+6djvZWjmaP53sBB+9M4nSWdT75pfD8FzXBDa1TCwcLnv5G3L9MwiZHk4XxFLcYcq83TWspXWlIU5gub24oLVgOejMOGs/otEU71lRDLZlNx++AZlPUXIeuBcRdRxYJpy38nb5ehEToEH4HyAwk0UI6wVrMdQyGBXwwzPHFPrN6zjCOF8RTbSWuYPh3+VdzcAUO9BgbfWFjE+3S97+h4h5295jIp/AcPMyh+P3iSjsye5kwjnKuJ4mOTbAF/97k/l6S+5Wq797FeKft/V0S5P+fPhjoOcAAEAAElEQVTHSDqdkfd87LOSyRQWrx/99JdkYmpGnnbFZdLRVtx4+qXPe4b6+bFPf6koOfiLG2+W3/zuNtnS3yePu/SijWwyIauqMr/r2O/y1ZU+zacWSd3N/esePVRHbes8Q/b2XZj/HXrMoDIqmS4syAhZLejBt1YF32Lw/+n9heQQcV8QKtfr80T+dx2NvfKIrY+VBv/6ey7igvDCbZdLS7g9/7sTU4dUrz9C1gPnK4Iqc6x5MkZaDQYSc0ju9bft2NDgoB/WuQOPFm1BAYjXv/PIjer9COFcRdYD1jvow2fRHG5XrRagzFsvKEzA9ST6+Flg/Xbf4O10SyDrgmsrgh58cJ5CXMlib98jNtz3szvaLxds/TOV9AOIiyE+RrcEwrmKOB325LNx4823y2e+/K38YyTpwF+/5q353736pX8lj31ULlExNT0jh4+ekNHxyVMG9q1XXyV33/+gXH/DzfKMl14tZ+7epaw4cdu6uU/+8XUvO+V/nv3UP5ebbrlDfnnTrfKMl7xeLr7gbJmanpXb/3SfhIIN8r7/9ybx+5eXmhOy0YVSLsGXS0xjYfOILY9VfWDKwUD7TqVyRe8sEVMp+vB+uHCEvSchq8HMGpI+cLwsg5V5+LgEztopmo81L24DFeZIvlnAZgV2mytZsqwGBKMu3Hq53Hn0JpmMjarfHRrbJ9FQm+pFQ8hq4XxFMtm0/PHYbwsJPk2X8wYerYJI5QC9r84fuDRfoIX3wftdsv0J4vcFuAMI5yqyaoamj8qhsQfyj9GvCteC5ZhLcF15wcBj5K7jv8+rYk5OHVbuCVs7TudeIquGaysCFTDWPXYFH9wRNlo8ZdHR2KMKR1GgBdtOrK/+ePR38qgdV6xZIUjqF85VpNowqmkDCjsk5qyb1YPH/js8ZzW0tTbL1z79QXnRc56mkoW/vOkWmZuPyV8/92ny1U9/SFqaT/WxR/LjI//6D/L3r/0b6e5sU7adDx06Ik947CXy9c9+WM7Zy8UvqbztHXrmWVXmsOgsV4LPXnW+p/f8/OOp+LjcP3gnqzjJqskeGxZJWHZnG8NMpHKvR1zFxPyI7B/6Y1EQ6rwyJfgsENBC1XlTsCX/u3tP/EFm4qcW9hCyFJyv6htcS9xz4taiPsRn919ctgSfvcjh7P5L8o/xfnefuIVrK7JqOFcRrG+wzrFoDDaXLcFngaJOrNdgrW6xf+gu1QueEM5XZLU8MPRHZYNucUbv+WVL8FlgnsK1oGWLbhWo02aYcK4iTkUzrUwWqRuedeUb1M/vf+kTtd4UxzM7m7M7ikZXbi7udu4/ebvqPWVfKFWqqtLq9WC3goH/ub3RMSFLgV562RM5dVU58PV3SejyQo9UN1JPc1U8NS83H/x5vq9VyB+WS3Y+UYL+UEXeL5aak1sOXl94v0BEVXE2VOj9iLfgfFXf89XDI/fJgdF784+3d+6R03vOqdj7PTR8jxwcuz//eGfXmbKr+6yKvR/xDpyr6nuuSmWSam1lFXv69YBcsuMKaQxGK+Yeg7WV9X5wUMD7RRqaKvJ+xFtwvqrv+erYxMOqZYO9iPzMTY/ckEXnchwZf0j2Dd2Zf7y5bYd6P0JWgnNVfc9VtYBKPkKI6olgT/Btat0mW9pPq9jIYAG2t+8CaQ135H8HVc6crdKdkKUw40lHvx6ptCrmD/mEG5qin7flMRVL8AEEnNA7C/pmgICU/cKSkGWPWc5XdQsqzA+M3pd/3NnUJ6dVOOGGhF5X06b8Y7z/pK3SnZCl4FxV3zwweEc+4Yb1Dnp9VirBB7BuO2/gUrWOA1jXQUXI+nOyGjhf1S9wKtg3dFf+MXqoow9fpRJ8AIXoSCRaHJ88KCMzhZ7whCwF5ypSbZjkI6TOwUUVVHwW6Iuwt+/Cii6U8nYtA5fm1TDwOc9d3BkVfV/ifsxM1tGvRypbuTkZG8k/3rvpEerirtJ0NPXKbpv6ZnjmuOpbQ8hKcL6qT7JGdsH2zswXC5yz+RLVj6+SYO129uaLi9Qw2A70kyFkOThX1S9DM8fUzeK07rOls6m34u+L9duZmy7MP0YP5KMTD1X8fYn74XxVnyBOhDWNYeau3Rt8QTlv4DEqrlRJcgXqxdec9w3erhTQhCx7zDJuRaoMk3yE1Dn7Bv+oLFOAruly9uZLytrXajnQtNh+cTcdH5fD4w9W5b2Je9H8Pke/HpGK2WY+OHJ3/nFP82bZ1LKtasO9tWN3UQ8Z9BK15k5CloLzVX3y8Mi9Mp/K2dGAs/ovUnZ01QDvg75/lvo4lppV20PIcnCuqk8QpH7gZMGdAOuc7Z1nVO394R7T0zyQf/zQ8N1qvUfIcnC+qk9gmzkVH88/3rvpQgkFwlV5byQSsbay1MepTEL22frDE1IKzlWk2jDJR0id23SenD5cZPPUFGyu6jZ0R/ulr2Vr/vHDI/fQtpMsixYOOvr1SPmBfdO9J27Lq1EQxEYfz0orju3gvRCo9+WtpZLK3oqQZY8bzld1adN5eHx//jH6G9sLBKpBa6RTttn6KmN7aNtJloNzVX2CdUwqm1OjIHhdyb5WS4EWDgFfbi2eNXMqaNp2kuXgfFV/zCdn5aGRe/KP+1q2qILPatIYbC6yXR+cPkLbTrIsnKtItWGSj5A6JZNNF9l0wn4ASpVacEbv+UW2nffx4o4sg39bn6Nfj5Qf9D6w23QiwVfJPnxLAQu803rOLbLtxI2QpeB8VV8o6/GTtxXZdML6rhagcKuxodBTC2srw6A9NSkN56r6Az2l7Dadp/ecU9E+fEuBa0BY4dltO+294glZDOer+gJJ//tO3law6fSH5IzeC2qyLSjcag13FNl2Iq5GSCk4V5FqwyQfIXXKwbEHimw6z1L2A7WZEhr8QTmzr2DbCRuGoRn2uyKl8Q30iITKY3umhRpyr0cc3TfUXrnZHd0svTZrp2qD5ut2Vc7+obtU/y1CSsH5qv76hs4nZ/KPlfpX99dkW/C+eH/LthP2oUcnHq7JthDnw7mqvkDCf9/wXfnHWNdsaT+tZtvT2zJQZNsJZxes/wgpBeer+mJ45phK/lugKADxo1qA3spYW9ltOw+O3V+TbSHOh3MVqTZM8hFSh8RT83LEZiW1reOMqtt0Lqa7uV9Zd1o8OHx33pqPEDuaT5fAzvLYc/h3bVavR5zLwdH7lTUmgFXmnr4Lqm4ldUrz9U0XirYQOI+n5+XoBHuJkiWOF85XddXb6uHR+/KP+1t3VN2ms5Rt50DbjvzjA6P3qe0kZDGcq+qLoxMPSXyh9x3WMwia13JtBfb0np8vikCCD/MVIaXgfFU/oJBy//Cf8o+7opuqbtNZyrbT3rv08PiD7CVKSsK5ilQbRjYJqUMeHP6TspQCsLyrZoP15Ti951xVHQUS6ZhaMBFSisAZW0SLbMyuEf8f2L2FA+zw/gtHJh7KP97euadqDdaXA0URA+278o8PjN6fV0YTUnK+2mBvPs5XzgcB6cyC8gSB6tN6amPTWcq2068H1P2MkZYDo/fWepOIQ+Haqj6A8gTrFovN7TulKdQitSYYCMuOzj35x1AeYx1IyNLzFddWXgeF6YgLWQUJu3vOEyewrfMMCfpz16Smaaj4GiGl4NqKVBMm+QipM2B1YO+/cFr3OeL35YI/tQZ9ILbarGIOjT0giXS8pttEnIkWCkro8gtEAuu0QQv4JfS4C9TrEOeCCyZcOIFQICLbOmvTN7QUO7vOFL8vZxsL1TGspQgpSbBB/Cgo0Ne57OZ85Xhg0QmrTosdnXtr0je0FOhds6Nrb/7xsYkDMpeYruk2EWeCNVHDo87iXOVxHh65VyX8AQoAdnWdJU4B/a6w3gMMnJOV5iv/nu2crzxMMh1XLWYsYClci76hpfDrftXH1AI92ifnC5aihFgwbkWqCZN8hNRZ02L0j7JoDrXJptZt4iQQiAr4cokXBs7JUpjpDKQSEr7iojUr+vD88BMvEr3VGRcJpDQT8yMyMnsi/xgXUrXqbVUK9ILY1XVm/vHxyUMym5iq6TYRZ2KMTuGEJv6d/WtW9HG+cgewkjLFVPfDgUYVqHYSKKDCdgFsp936ihALM5sVc2pO/Ds3iTSsrQCQc5U7QIL/2OTBooKlWvW2KgXWeXB2scA6cHxuuKbbRJwb19CjETVfocf6WuB85Q4eGrk3374l4GuQnd2F6y4n0NeyVZrD7fnH+4b+qI5LQuyYhiFaU5hxK1IVmOQjpI4YnT0p0/GJ/OMzes+vef+FxWABB2spixNTh2nVQoowDVMyR4Ykc3hQLZrCT7lEAmftWPkCL9SgnofnM8HnbHCB9JBNGdcS7pDeZudZq8Kys7HBShabqjqeEDvGbEyyQ+PqPpJ84ac+alXzFf7O+codTMXG1frKAgFqn+4TJ6HrPtndW7C4GpsblMnYWE23iTjvvJs9NiJmKi16c6OEn7K6uUqCAc5VLuJhZdebC0JHGppki8163Cn0Ng9Ia7gj/xhOCQyck8UghuHv75KGs3dJ+GmP5trKY8Cq9+TUofzjnV1nqTiR047BM2xrq5nEZFGBKiEge3JMMg8dU84sq41b8TqQrBfnlMQTQioKLo5yF3aFpsVtjV2OHPXNbTuU/3pMNYQ35eDo/XL25otrvVnEIWQHx8SMJZSST28KixZskIZzT5PAWTsle2w4l/yLJ8XMZEXz+5Ryxr+tT3wDPar5MXGHim/KFoDerfp1OqsgAeiaLqf1nCN3HfudeowLO1zgQSVNCILlmaM5BYLe1ix6e7M6jpecr3y6+qm3RaXh4rNEb+Ay3S29+Cxawu3S07xZnEh3tF8FzqfiuaTzgZH75MJtl9V6s4hTyBpipjKIWopvS6/okdCyayugNYbFt6NPApt7ar31ZBXAbQCWcvaWDSgAcBo4T57ee5784dAv1WPMWePzw9LZ1FvrTSMOwMwaWIDnrwssh4Tl5is4wKDAs+GivaKvUfVHasPBsfsLDgkNTTLQvtORu6It0qXWV1ZyD2tCPHbidSupPtmJGTEmZnIPTDNni864FakgjB4QUiegytxuJWe3mXNi4Bz2MfecuFU9Pjl9RNl4OsWDndQOY3JWjPFcLyE/knbBwoUaAuRI5uFG3F2QYA+atzf2OLYgAeBCLhpqzc+vB0bul/O3XFrrzSI1BirjzNEhkWxWBaB8/Z1FF/yl5isc+5n9R1VyUJIpeMLWaOvJWlR8UMXZK82dGtjBdu3sPkvuOHKDejw+P6SKKVojnbXeNOIAEAj37+oXM5ZUCb6V1lbG9JxyVZC5hJq7nHrckwIHRu/P328Ktji2IAG0RTqlo7FHJfcA1oV4zOOsvlGK46ND6qd/S49o/uJ10lLzVfrh46pA1JyPK2cX4mxQ6D04dST/eGfnXhUfciqIW1lJPlwP4r6T51dSHYxYQrIncn0afb0dyl7YgnErUimcO1MSQioWNIeKz+4f7kR6W7YoG5kcpqrmIvUNKjIzJ0bUfV93m7KTWvX/ZjKSnZxRFZ3E2UzERmQyNuqKgoR84Ny2jSOzx9mbj4iZSImZSCvFsX9Lr2i6vqpjyTfQLYEzthZdCBL3qPicrjRBkBz2xxYP27af1K8FugXmKTgkrAatKaJUf7mihHQFt5CUT8V3LP8Y6xanJ8zs/bdQkACXB1LfGCOTygbdnE+ImV79NZ11zWjOzFdw60i5gIuTvc9xX+tWRw9uc7hNFX3a14a0GK5vEHPKohAKvUObG0Xvaq31JpE6gUk+QuqA0blBZSFnYQ9IOxVUa0G9Z4FqLnizk/rEzGZzFeNGrsm63rO2JHXm4GCu18xsrGLbSMoDLOQs2hu7Ha3is8CFHariSwX+SX0CJUxg12bxb+0VLRhY/f81hkVrWP3zSe2Yji9W8Tk/aL64KGF8LqfmI3WsOD54XLLDE2sOSKIKHXadwJhl4NwNQXOLpmCzK1QmsMGDm4MF2k4wcF6/GDPzaq4Cvs1doi/YdK4Gq3DKmIureY84W8V3cupw/jHiQU5W8VnY11YoqrD3aib1hXJmOTqsbIJxTYcCTqdfHxDv4PzZkhCycRXfiK0XX1OfqjZ3A30tW5UHO0A1F9V89YsxNaeqxbUGf6633hoXSnrzwsUdA1GOBlXadhWfGwoSSgXO0fPGbo9M6gd7ABJN03WoXYjnCxLQh7OzyR1W0VAb2teBLEqoX7In0eM4KdmxKZF1OB3oLY2iNYZOscwjzmIuMS1DNhXfDhcUJJRyc6Car34xk2nJHFvocdzeLL625rW9QKhBtIBfqWrMuXhlNpJURMW3qXWbK0YWaj64ZVlQzVe/oLWMORdTvUNVsafPeb1viXdhko+QOgiaF6n4bNYnTkf15ussVvMl0lRi1SO+jhbxbe4WH2zv/GtfKGlWBScsXmzWVMRZHBrbl7/fFulWSj63gKp4u5rv8Nj+mm4PqY01S+bACVUpvhFQjJA5dFKyI4VzN3Fe0BwuCRa7up3bi690UcJZ+cdjc0MsSqhDshMzYkzMqPvKUhgB8HWszQI7N4vexp7ZTubweGE90hhsll4XqPgs4OZgXwseGi+sE0kdKY7h5pI1RIsExbepc13nPW3BshOKQOJMkum4nJw+4joVX6miBMTfJhZ6ipL6Qm9rFr21Sfz93aovOyHVxD0zJiFkXRwZf3DJXixuAB7soUAuQYOqrqMTD9d6k0iN8LU3Kwu89aDh/5AczBpixljB6UTmkjNF1nc7uvaIm0AAwb7NgzNH1cUqqR8FX/bYsJiqyfrIhizF0GcGBQnG9FxZt5GUj8O2tVU01OoaFZ9dzYftLrVWJN7HUPNUTjXv62lnD1APk8wkioPmnXtEc1HQHOywFXzCYhhFFqTOFMeJpIjPt+oex8tZdqJ1A21fnQniPKaZs1MN+sOyqcXZvfgW06x6M/eVXCuS+gF25nCeYgEUqQXuWuERQtbEfHJGRucKfuBbO3a7bgRRvbWl/bT842OTByRjZGq6TaQ6wJ4TlZtmJlOWBEy+H8MM1aBO5Iit0hyKOBQluI2e5gEJ+XM9inCRyqKE+sEYmVSJOdG0nOJ4A6ouy17YjCdVPwfivKD54HShX8zWjtNdo+KzwPZus60JkQRgUUL9KI6zR4eUbZ3e3Ch6d1tZXtOYZ1GLEzlWFDQPSW/zgLgNKPmKnBIYOK8roBhGb2P/lp4N9SzWmsJKBejf2e+6c3Y9kDUycmyyUMyN+I+uu8/mEGtCCxSvooiV1IfiGA4JVgEB5xhSK5jkI8TD2CuzYc+Cym03srlth/j0nI1QJpsqasZMvG3NAiVL9nihR9tGQDBLvTb78jmOVCYpJ6eOuDpobhUlDBQVJTysLlqJt4G9ZnZ4Qt339XeJvkFrFvS3Uupj2ko5kmMTB8RYCJo3+EPS17xF3AiC/Qj6AyQBUERF6kRxnMqoYLlvoHvD51ojnpT0/Yckc3iQ6hiHkTWyKsnn9qC5KkroLBQloMgilUnUdJtI9YDdnf/0LRtWHEMB6Ots3VCikFQOXAemsyl136f5ZKB9pyuHG0Wq9qIEOiXUydrqxKhkj4/kXRIIqRVM8hHi4aD5CVsybGu7O4PmIOBrkP7W7UWLJdps1IE1SxzWLPq6ei+UQmuKKJUNmrdDJUicA4LLhplV9xt8QelzmT2LHVyU4uIU4GLVnrwk3gPzSeZorueG3t6sbIXLgd1WijgtaP5Q/vGW9l2uDJoDbHeRU8IEixK8jupL1dKk1lb+rb2i+TZ+7GqhBvV6yg59nokXJzE4fURS2aS6r2s+2dzmzqA5QDEFiioAiiyOTrAowcsodXCsMJ+4NYZBVgfiOnZHl01t21X8x43gWLWr+VCcjrgc8S7ob2xMzopoInorexST2sIkHyEe5bgtaB7wBWVTq3uD5sC+WIqlZmXU1ruLeAtYHWCxBDZqzbLYHx1BrcCebazidBCGkZWjtqD5QPsu8bk0aA5wUYqLUwtctLIowcOKY9jeZQ3RIsGyFSQAbUF5bMzF1PsQZzC0KGg+0LZL3AyC/vgcAJ8LSQHibVCIEDhjm1LHlIOcHTqdEpweNO9v3SYN/vLs89oVJRTmWxRboOiCePPYxdoqc+B4LnBe5tfGdaZSHtMO3THA1nI+NVtUnO5mUKyKolWAeBydEjze4/jkmLrv6+0QvSnXtoOQWsEkHyEeJFfhaLdn2ZW3u3QrkYYm6Y725x/bL1yJd4Dtk2Vz4OtpzweOygUsO7WAu78LXmNo5ljedilnd+nuoPnii1NctI7NDdV0e0iFMEX1iRGfT/zow6eXb1kNdYyaqwxTzDn2unICCA7ae0GheMrNQXOA7Ufw3wKfj0UJ3gPuBVDG2IueyonVR5Q9j53D+PxwUS8oe7GkW0FRhb0oAUUXxHsYwxO5dQ+Ux+HyqrlQlGCMT4sxM5/ro0wcgd3SEvGexqC71VAoVrVfz6KYFUWtxFugUCB7ZKHHcUuT6J2ttd4kQpjkI8SLjMyekGQmFxTUPBI0B9s6Cv0YJuZHZJ6NjD0FAlDZI4O5hVI0Inp3W603iVQBe0ECKh+tHlFuBhenXdFN+cf2RvLEOyBQ7hvokcBpm8uuDla2eihKQEUobaocwVR8TOaS0/nHW21rEjdj/xxYV03G2E/Ec4rjw0OSefhYzga9AmiwF9ZgX5xSN1J77L34upr6VG92t4OiBLszzVH2EfUcqhf7yKS67+/vFi1U/kKafI/2mfmyvzZZO/PJWVWU4KWCBID4G4pXAYpZR2ZP1nqTSNkVx8Mq0YeCT9/mjfc4JqQcUMlHiAc5butT0Nu82RNBc9Aa6SxqZEzrA4+RRYWbpoLlPth0VmihBOuX9MET6kKS1JbZxJRMx8fzj+39odyO/bOMzg5KPM2KYa+ACzpL7aSScWVO8FnA/jOwoz/fn484Z23V3tgtTR4ImltFCR2NPUV278QbKGu6E6NiJpJiGqaIvzJW2OjtpzXmLKqojqk9iXRcRm0B5QGPrq1m4hMyE88lhIj7QYFA5tiIuq93tojeVhk1V8EOPU47dAdwfPJg/j7WVW2RLvECiL/1NA/kHzNu5S3MWELdREc7mL6yOyQQsl54JBLiMWKpuaJqKDc3WV8MgqkDts+DRsbsx+AdtGCD+E/bLP7tWChVriebCnbNxcWYZgVnrTlmC5o3h9ulOewd9SaC5uGAZTdrygnbRSxxt+I48/BxZc9iZivbK48Voc4hlUkqa2EL+1rEC2xuL3yeoZnj6vMS94P+xqqnlYYex70VtSu37NVhg0dqC9YbJvykRSQUiEhnUyGJ73aioVZpCXfkH7MowRtgPZWB7Z1hiNYYEl9v+XocL22Hbog5Tzv0WgILyxNTh4riVl5a+9rXihPzw0q1SLyB3hgW/85+8aMwPVReW2FCNgKTfIR4uBqqsSHqmWooi77Wrfl+DOlsSoZnjtd6k8gGsQfKVTV4sLILJc0KRM3Os/dQDckYGRm09VPxWtAcF6n2IgsE3dAvlXjDmiVnSWdW533TGdWvlNQOzFXW97fBFyzqEewF8HkaFlwfTNNQRVTE3RixhGRPjqn7vt4O0WH9W0H0lkZlV+Uf8E5CyY3g+3t86uCioLm3Qj5FBZ/TRySTTdd0e8jGMSZnxEykRPNbPY4rl+hRDgwLDgnsI1pbhmdPSDqbW98ivrPJ1iPYKy5Udqtke5yOuB89Esrb/xLiFLy14iOkzlHVULbFg9eqoUDA1yB9LVvyj1nB6W7MZFrS+49Idmyqagk3VIgKLBWyRs5mgdSEoemjkjFygRmf7pdem6WJV+hv3QYDWnU/kYnL2NxgrTeJbABjeELMuRgiEbkgVAUVx/n3nJ6T9AOHleUeqQ04N9ltlja1bhddr/y+ryboG9Pfur1obVWtczIpP2Ymo9TGqsdxS5Pona0VH2Zltd7eXFG1IFmZsbkhSSzYg2P9Yf9ee4XelgHx6zmb7KyRkaGZo7XeJLJB9I4W8fV1iK/CiuNT+vKx4LOm2OM4+F4jzuMlTnWhOqTidcTFiuPDgxXrb0xIOWCSjxAPgYa+qXw1lO65aigLuzpmMjYqc8mZmm4PWR+msWDNksmKMTVXLVGMWnBbtlLmDPukOeHCblPLVvH7KtPXrJYEA2Hpbu4v2dOLuAtY0GVHcr1//P3dooWDVXlfLRIq9H5IZ6rynqSYqdiYzNvWGZvbdnhyiOyfaz41q9ZXxJ1kB8fVfKEFA0pd57WCP7I09oKErugmCQUqq+CsBSgM29S6taT1O3EnmKN8XW0VVxzn3w/vo+sigYAq+iTVB9aVE/O5HoxedHSxQDzOcqFCnA7qReLSHsfHR9T1IOJXLIQjToVJPkI8emGHRr8N/uoEIatNS7hd9WSwYODcpQulE6OqP57AmmVrZa1ZFqM3WzYt7B1TC2bikzIdnyjZD8pr2C9aR+eGJJ7iMec2YM2ZOTacrzbX26JVe29UtFsJRWOWRQm1Xluh12ZjsHr7v5pEGpqko6k3/5iBc/fi6+tUCj7/VvQ41qtavAVnBgbAagMUfKOzBceAAQ+vrewFnzOJSZmxrSmJO0AhQgbXgjVIsmm6LoG92ySws19ZhJLaFns2BVuKem16CagT7W41dKFyJ8b4tHJXgUGPb4DFU8S5MMlHiEeIpeZUQ1+vV0OV6nV1cvowrQ9chjExI8Zkrvm0alhcZXsnrSmiFmkI3sMylFQXe78YJO2bQ22e3QXtjT0SbmhaeGQWNZgn7unDh0pvWP0ieF5t8rZSLEqoOrnev8fyj+1rDy9iXzsOzx6XVIaWRG5Es4qnQtW2PtMkOzyhAmG0s6o+ufVFzhYjHGiUjsZC0t5roNiz1ZYUYK8rd66tEDiHOqYWINFHathixtb7F2sPLyvO7cWsUC8ibkfcgzEXl+zgWKGIqtF7CnniHXhmI8QjnJw6kr/f2BBVjX69DPryWdYHCMKNsteVazBiCcmeXFgo9XaIjoRbDQJgeF8djdcN2rRU+8IO/fi8bn1XVJRg64lzcuowLT7cZiHV36XUdKoPXxUVx/ltwDy1cJEJpQypHkPTx8Qwc2Me8AWlO7rJ08MPe78G/4JFrGnIkC3BSZwNipay49M1Pb9gflTrKhYlVB3sd6wvLPrbtns6aL54/Tg4c4wFny4iOzQu5nxcWWb6etpr3sO0FmrCeu8dmra1mOmz2e96ERQkNAab84/tczVxvuI4exQ9jkX01ibl6EKIk2GSjxCvXNhNHy7y/vb6hR2sD+y9rrhYcgdmJitZ9OEzTaVO0bsKtqvVxretT/zbN1WttxbJgYQ8EvMAiXpYC3udPlt/1Hh6XqbiuSQ3cQd6JCT+XZurrji2wByl3tswxJxP1GQb6hX72koVF+netvVSwbaWLfnHXFu5AwSoYZEJG3RjbKqm22L1PKYdenWZjo8XqUM2tXizL7sdrB+tgs8MCz5dA5S+xmhunvLD9q7qiuMCmWMjkr7/sBgzVFbVam3VHe1XcR0vg7icfU5mwac7MA0ojodU/ArzlA892T0eYyXuh0k+QjzAVHxc4rYLO3tA2cvYF0tIHNBWygX4dNE7W0QLNtTcz5yLtNpgDxrXw4UdCAciyrbTgoFzdyiO7XZztZ6r8mo+WnZWDQTMp2JjRQVU9ba2QuJgPpmz1iZO7nE8ImYipYoB9Nba9oy05ipsj5miHXq1sK8r2hu7JdyQS7Z6Gb8vID3Nm/OPaYfufDAvILEGfF2tqndoLdECuSSxOcOex9UC8ZqR2ZP1t7ayqRVVwadtfUkcCpw8cP2n6zkL9Cr2OCZkvfAoJcRzF3Y9KqBcD3Q09UjQbitlswAkDra+62oT/2mbRfM5QxGBIBRsrkh1Luzs1rr1cmEH+m2fFRaAWSNb0+0hK1izHBmS9IHjyiLTCejtzaowota2VvW6tmoKNnu6d6id5nCbNAULdkQsSnA26GllTM2pPsO+GvQ4LmWHjv6lattmGTivlg36oO0aqB5UfKXWkWOzKPik2t3ZiuNB5UqgNYVF7y30VKwV2kLPY8xVUO2QygMbcMRtAOzBO5q82zvUTigQkQ5bwae9JyFxJohVwfUpsKtfFagT4gaY5CPE5SBQbE9u2auEvE7OVqrweU/YrB+IA1Uxtn4HTml2nh2ZlPS+I+onqTyYq4ov7AoXO14HqkWfngu+Zoy0jM6eqPUmkSVUMZmjwyrRpwUCjrHzhWWor61ZBdBJ9ftb1YMN+lJFCbDVqmWfN7I0xnxcsoMLPY77OkVvDDtiuCzLTpPK46owMndSrSuAT9mgF9RtXqejsVuC/txxb4pZlOwkDgPK3qyhChH8Az2OOKeqNR7WVbBDjzmjqMvr2NdWygZdc0ZMoNpFCcMzKPjM1HR7SGnMbLbYTSXkjGtBQlZDbUv9HEgimZTPXfcd+dmvfiuDI2PSEm2SSy86X66+6kXS07W6aqPv/++v5B3v/+SKz3vPP71BnvHkx+Ufv/19n5Af/uzXSz7/HW9+tTzvmU9e5Sch9cLo7KILu2j9XNhZi6XD4/vV/Zn4hMwlZ1TFPXEOUMllDp7MXdTt2FTzKnM7WiRYqOA0TUdccHqZot6hLVvr6sJO2UpFN+fHABe5vbbeV8QZGEPjYs7Hac1S58BGCXZKFvaConoAn3f/8N0qbJ5Ix2QyNqosAInzFMdiiuitTaJ3FNSXtQY9l7PDE8rmimurKtugN29W6416QVso+Dw8vi8/Fls7Tq/1ZpElEmr+0wZy/a0cci2I6z4UJRiTM2LMxERvqg83pFoxn5xRNuD16Ohizc++wTtUcg/xO9iW2vsgE2ck+DIPHxetMSy+TZ2OKUwnZLU44+zqEJLJlFz1pnfK3fc/KF0dbfK4Sy+Sk0MjKml34823y3Wf+oAMbFpZTr6lv7coeWdnbi4mv/rtrer++efsKfkcJBU72ltP+f22gf41fyZSXxd2PXV2YQeioVZ1m01M5cfj9J5zar1ZpMiaZUhVSIpfF3GIRaeFFgmrYL5ksqr/lhbJWUyR8oME/HR8om4v7KzPbCX5xuaGJJlJ5C2HSe0xpuckO5o7l/jRMzTkLGsWBMaMiRkV3Pf3d9V6czyN3UYJ9kqwWaongoGwdDb1qHnKWlsxyecszLl4LlgeahBff217HJ9CMCCBvdvZv6YKYB0Bm8r6XlsVknwziUmZS0xLU8g5Se96BzaYmp6bn5Dcc0qCz0JvjqgknzmLwp7OWm+Opzk5dSR/H7bg9WKDbuHX/SpeZ8Xv8JNJPof1OD42ImYyLQL7XtyY4yMuw1ln2Brzma98SyX4zj1zt3z2w9dIBMFfEfnSN34gH/7PL8o7P/Dv8oWPv3vF17ngnL3qVopvfP9nKsl3/tlnLJkwvOpFz5FHnn/WBj8NqQfQd2CsTvtb2UHvif2Ju9T9wekjclr32c4KdtTzQunEiGqyDos5/5be/EWeU8D26NGICu4rWykm+SrGoO3CzkrO1xvtjV0S8oclkYkv2EodkW0du2u9WQTzVSIlmWMjaiz0rlbRW5qcNy6GIdmhXAW02dNO684K2qDDRknqfW3Vui2f5EMPnT19F+Qth0nt0dui4kf/uwa/45Jpag3uc9Z6z6soG3TIOZFb9YeVfWW9gfUkkgVI8AEUU50eOrfWm0UWFMeZAyfE19suemvUkWOiQb0H1XEynbtmdViBl6ds0G2OLnZb8Lor+FxI8rHg01kYo1NiIB6kaeLb2svrLOJKnHVFUEPS6bR8/Xs/Vfff/qZX5RN84MrnP1NO37lNbr/rPrlv/4ENvc+Pr79B/fyLJ16+wS0mBF7ex4su7Oq1yrpP9SHMBRNgKzUVz/UnIbXFGJ8WY2pO7Rq1UHJY5aaF1pxTaMCmhVTuwm5wxtY7tM6s74pspWx9U4emC4kEUluy49MqiabsWXpXZ89ebbSGQD74ZM5yvqoUKJ6y26DDXqkesfcRhbXUqK2ojNQOe39EFClpwQbHB/nZ07Fy2Puyw7YS64x6ZPHaisecMxR8cHMxU2nJjkypx04ERRK+7jbxbe4WCTjLccZLwKYTcZocWt3ZoFu0R7pt7hCmDPNa0BEYc7F8ISVsOtELnRA3Up+rwBL88Z59MjsXk4H+Xtlz+o5T/n7FZY9SP2/4/W3rfo/jg8Ny1737JBDwy5Med+mGtpcQMGhbFPQ2D9TthR3s7uwJTgbOa48xH5fsYC7Z6uvrFL2xUDjhNNCLAZiJpLoQJeUH1dXx1Fz+cU8d9x/obd5SdMEbTxX6fpHagQs6JPf8W3ocrQRHrytgKFspUgnsa4iuaL+yV6pHkOBDos+CayuHKI4PnFC9jp0OkizpAyck/cBhZYdOyk9cFTYW+lv1tQzU7TDb11bop2q3hye1AdeBZiyBk4n4t/Y4zs3Fjq+nXXztzaI5rK2Elxi0FSTA2QS24PUIrjEQt7OAUwKpLYj/ZI4O510S9PZm7hLiWuozI1CC/Qdykuk9p52a4AN7FxJ/Dy48bz38+Oc5Fd9jL3mEtESXtoH6xY23yHuv/S9590c/I1/42vfk4JHj635P4l0S6bhMxnLWYqC3joPmiy9ssVgyTaOm2yP1btN5cgzFaaK3None4ey+GLAS1Rpz1VoG1TEVrzRvjXRKuM76Wy22lWpsKFgWDdkUjqS2F92o5Haq4thCyyf5Yo6tinczGSjWZk/kH9d7rxT72nJ09qRksiyEqW2P40EVNM8OFhI7Tp5Tsb4Cyg6dlJ1h29oq0tAk0Trrb2UnFAhLW6TQq5Zrq9piTM4qRxfgH+hxvOKYVBbEZew26PakfL2vrSZjozaFI6lF3Eol+FSP46D4+rscXexJyEo4O5JRRQaHR9XPnq7SFk3W708uPG89/GTBqvPpK1h1fvW7Pyl6/LHPfEWe98wnydte/wrVe2G1POvKN5T8/dETg7K5r0dmZ2dX/Vr1Sizm3BPu4Gwh4Rz0hUXPBOp6n0a0VtFEU/al6FV4YuyotIScablWF3RGRUYNkZawyFxBweVYIg2IEIhginXh98jJc5XqwWDrx9cW7K7ruQq0hXpkPpUbgxMTh6UzWJ92gDUHFeaw6e1uE3FwhXkRsOrLZkRLZiU5MiayUKDgJpw8X43ND0rWzKr7Ps0vQWms6/kqaDaqcciaGTHMrBwdPShdjZtqvVn1B773J8dFQ3IfhQhYW7nhuPSJaMmkmKMTIo3uC/I7ea4CxycL14LtoV6Zc8N6u4JgfYmAORicOiqbIjsZrK0FiZTI0RHRDEPMjhZJaoY75qtURmQuLhIMcG1VZqYT45LMJBYeadKot9b12koz/RL0RySZyZ1jjow8LJuat9d6s+oXrE/m50U6mnI/SV2vrZxANLr+HrZM8i0Qi+dOOqFQsORAhUO5IEosFl/XQN/zwINy+NhJaWluksc+6hEln7PntO1y7pm75eILzlZJxbGJKfntLXfKJz//VfnG938mgUBA3nr1y9f1/sR7IBBl0RHpq/uLmICvQVpCnTKVyF3cjcVOMslXS1CQ0NcurqGpPi1DqsFcakpS2UTRfFXvdDb2yfGZh9X9+fSMspYKB3IKLVIlMtlc0DyTFRPzVaezFcd5UF2KxN70vMh83JWBKCeDtYNFe6RHdK2+rbt0TZeOSK+MzOdcRcZjg0zy1YKJ2VyCD9//TR25NZYbaAypbdYSKdWbTxyulHYTifS8zKdySinAtRXm7F45OHmfGg+sO2eTk9IcctG1iBfIGrm1FRJ8WJ90usj2bnpOtPEZMeGYwLVVWRmLFeJWraEOFbepZ6AU64z0yYmZA/nxYZKvxnEgfOep4CMegCvtKvHjn9+ofj7p8ktVsq4UL/7Lpxc9htruBc9+ilx43pnyvFe+Rb7+3Z/Klc97hvR2d67qPb//pU8sq/DbSHa43nDaWKGH02xqMv94a9cuiYadtY21YHN2u0ydyCX5JuLDck7TJSpARaqDMT2nqs31Vh6LtcJpcxU4PvdQ/j56Z3a0ru4c5mWiEpWmiRaZS+YCdLPZcelu7631ZtUNsLnMHDwhps8vWmNE/Fs2ieZzz7nCMDTJpLKih8Lid+B33q3zFaworUIhMNCx03HbWAsGtJ35JN9kYlRCkWDdB+iqiTEXk8wM1CU5Gymfwy3QF5NunVMWoz5TF59Lv09OnAdGRwvWd03BZuntoMIWq6uOqR4Zn8/1VprOjEl/dGsN91KdtmzoTos5PSf+XQN5y143YOh+ycwl4dstgaYm1xZQO22+MkxDJk/kvpNgc/sOx21jLdga2JVP8qEg1h/UJdzAgs9qYSaSIrouWkPp2DypPJwHKoN7IhoVJhLOVUIn8GUvQTyRUyFEImtXe2QyWfnZr3+r7j/9SctbdZZi1/YtcvmjHymZbFZuuePuNf8/8R72Br25HgytNd0ep9Ad7RdtIamXzqZkYuEij1QeM5GSzLER5WluuLT3CpouZ4cnJDtSSKCTDY4pezCsqh/D0DSbrleT7OCYCjqLTxf/1l5XJfiAFo1IYO928fcX+g+RjTMye0IFowCqzDuaejisC8UZAV8wP6djnEh1gPpN9YrBRXtbVPR2F6liFtCjuR68JnseV+xasN77Wy21thqeOc4e7VUGiTF/X6f4T3NXgg9okZBaF0KNaM4XHEjIxpiYH5FUNhdjRZymu7mfQ6qKM1rYo71GmJmsZA4PSfqhY2LgepAQD+GuqEYF6evJBUqGR0s3Mrd+v2nheWvh97ffJROT07J5U4+cd9YZ69q+rZtz1Xlj4ww+EwSEjxZdzLi10qzcICjX1VSwAmTgvDqYWUMyRwYhLxGtKawC0G7ETKZUkg+N4lGJSjbOZGws34MBPTN7mtl7zqK3eSB/H4q+uUTBdotUDmNyVn3HgX+gR7Sg+yyDNFSe6lzClxv7mgFzFZ0AcmAcem1zN9dW1QVV5loop+Jz43pfg/XdgiLRNHJJdLIx5pIzMpuYKpnYqnfsBZ/o0T4xX1Bnk8oWe8IlwULzuSvBBzC/6tHcfGXOurNg1elxq86mXjoB2I43+9w9aBsnUmG18bFhVdyNIk8q+YjXYIRggd07t6mfDzx0sORA3f9g7venLzxvLfz45zeon39xxWXr3U8yM5trpB1eomcgqR9iqTmZSRSSvX2s3ly2gtOqyicVXCgdHxEzmRYt4Bf/lh5XBqGA1hhWtg2onMfFKtk49mAwVDENfp7DLBqDUWkOtZWsyieVs2bJnBhR933dbaIvBJ/djOpzRTYM1P9j80P5x1TGLL22Gp8bUuNFKo9aV+3oF//2Ptcm9rVQg+gdLeLv7671pniGYdvaCm4uWE+QHFhndjYWVNhcW1UeBMvTB07kbNAz7l6T6M25QlVjJlbrTfEEiMMM29T/XFstvbZC4QbifKTCx+TIpBhwFtA08W3tc53imJCVcOfVQgU4/+wzJNoUkWMnhmTfQ4dO+fv1N9ysfl726Eeu6XVjsbj85nd/UPf/4onrS/KlUmm58ZY71P09p+9Y12sQ7zAyU1goNQabpSnkrt4clQZKPqv6PmOklUUEqRzG2FSuF59aKPWK5ndvq1cE0HQ0XsYFq0stR52WALbbuvXYlGvk1DFBUQKp8DGZzqq5Copjvafd9Qrq9P6jkt53WMxsttab43pGZwfztm6wpmxrpBWqnbZIpzRYlp1iyujsyZrsp3rBnrzXdE0l+1xt39ffpexG3ZqodBrDs8dLugKQHD0thTHBOtSa20n5gTo3c3RIBOsQuKC4/Duu3Gi0nLsLbmRjTM6PSmahKEhZdUbZO9QO+qnCttOC14KVxZidV65NAO4IepjFx8R7uPssXEYCgYC84NlPVfffc+1nJRYvePN+6Rs/kAcPHJYLzztTzty9M//7r373p/L0l1wt1372K0u+7i9uvEXiiaScs/f0vOVmKQ4eOS4/+r/fqISenYmpafmHf/2IDI2Mye5d2+T8s/ds8JMSL13Y9URpfbcYvy8gHU29+ccjDJxXDGMuLtmhnJWxb1On6Ohl4HLytlJM8m2Y6fi4JDNxa2SVhRIpxm5fCsvO+eQsh6jCvaECuwbEv6XXtYpji3wfQZO9rsrBiG1thSAUrToXHW+L+ugwEFU5jHhS0vuPSHZwnNbh5BSg9LBbddIG/VS6mjYpi3jLsnMqXrodC9k42ZPocZws9Dh2e5LP58s5u2gaXV3KgH2t0NnYq+I0pBj7HM64VWUVx/kex+3N4nNhj2NCVoN7ywIrwKtf8ldy6x13y1337pO/+OvXygXn7JXB4VG5+/4Hpb21Wd711quLnj81PSOHj56Q0WX65P34+pxV59OfePmy7z0+MSX//N6Py/s/+XmVSGxrbZHRsQm5/8EDMh+LS09Xh3z4X/7e9UEpsjGS6bhMxcbyj3vYuHjJxZJVZQ6LiD3mBfn+DKR8mGhUjKLNtqhaLHklCQBNjBlPqkp6N1fP15phm+q4vbGLVp0lgMUWKjiR4LMqzrcH19e7lyyverOSYlrQOwEG2EplR1PKVkpvpV3beskaGRmbHcw/ZtC8NBiX45O59gVjc0OSMTLi13mOLCdmJivZI0PwOFP2wl4CNugooIJNMiw8SXkcXXAjp1p2tjd2y/j8cD7R0BahOrvcZCdmxJiYUfdVu4YGb6yvlLWw31copiIbcHSxFaczblUSFFAdGL1P3UdBQiIdl1Ag5yxEykd2eBILftEiQVWcTohX4ZnLRjDYIJ+/9l3y6pf+lYRCQfnVb2+Vk0Oj8swnP16+8V8fkYFNBXXQahgdn5A//PEe8fv98uTHX7rsc7cObJIX/9XTZdvAJnno4FH5+W9+L/ftf1i2bO6T1/zN8+U7X7hWtg1QBVHv2K3vQoGIRG39nEgBVnBWB/S08m/rU3YHXilAQFIPiz+g/NrJui/s7KrjbqqOl8SeUKA6pvzgewxVDCxavIYWXVAez85T8bMBkLDKmjnLU5/ulw5bPydSoD3SLX49F8Q1zKyMzRUSo6RMPY6PDatqc63BL74B9/Y4LgWcH3BTFu9k3dDRZXXYlcdIjOL7RcqrOM6eGFX3fT3toi+sR7wAisGY4CuXo4vljqZJFx1dShINtko4UPj+2BOjpHz4+jtF72zJubm4XHFMyHKw/HIRoWBQrr7qReq2Eq992QvUbSm6Otrlrl99R1ZDd2e7vPXql6/quaR+sStjYNXppYv/cldwtjV2y8RCBScu7ljBWT5woWwde6jI9hq4UM0m0rn+EmRdQJkWtzUPZ/Xm0sDG1KrgxAUxKzgrYM2SzYoxPe+pIBTQGkPKIguVqVBWK4spsiFlDIqEdN3HUSwBxqUrukkGp4/kx439wMqHMTKZKy5Cj2MEofzeOg5Vr6uZefUZkRQga4eOLqsHxWUPDN6p7sfT88ritDnM4tjyFSSMqB58cEDRu707rqZhqr6oZO3Q0WV1IKaCgs/D4/vza6st7afxkCszSOz5N1HRTbwPU9iEuIR0NpVPWgHaSS2PPakAdQwrOMuDMTkrmQMnlJWlV9E7WyWwd7v4urx70Vpp7Iq0lnC7Uh6T0kRDrOCsBKZhSObokErwaWFvWrMgMGAlLk32EV0XhmkUuSRwbbU89vGBLbphsBimHCDxlR2eUPfhjuCFHseLsYrCUJDg5TVkJaGjy+qB3V1LuKOkApJsfO3h39qjvtNeUxxbwCEh/eAxyZ4YqfWmeMTRhY5kq1UeT8yPSCrjLbvuWmHEEmptxTggqSeY5CPEJSCYYqIBGpRqvqC0RgoXLuRU7PaAVgUn2RjoU5c5MaICNEj2eRVYtLBqs3xJPlp1rq6CszB2hYQDWT/Zk2NixpJK6eZlaxb05QPoy0fWDoIpGSOdG0tNl86mtVnz1xsdTb2iazmFGcZtfJ4B0I1iZrM5xTGOwfZm8Xmkx3FJO/Qw7dA3Ah1d1oZ9bTViW5eSjaMFG1TLBq8pjvNouuqLigIMJgg27ujSbfsuklNpDXdKgz9X3IN43+jcSQ5TmXocI8kHpwRC6gVvRjwI8XrQvLlfNI1f35UqOFttFZz26leyziDUkSHIHnLWLF2tnh9GXNSZGVabr5VYak5d3FlQGbMy9ovfSVZwbpjsxIwYEzPqvh9V5sFcHzEvAgs8va1ZfL3tDEStA3vgFwksv8+7x0o58Ov+okQoe8dsHM3nE/+mTmW360XFcUk1H5XHa4aOLmvHrh6aS87IfNK7BYrVUrfVS79yLbJgh57JquJWsjFHlzAdXVYu+LTNV3YbebK+GA6Kp+AaoDUEVC8+QuoFZgkIcQFZIyNjc0P5x1TGrD1wbl9skvX1XkB/K63B71lrFjtmIiWZ/Ucl8xCtXteK/bvWFGyWxmC0zHvHe6AggRWc5QGV19kTo+o++j55sW/oKQmCgW7RW5o8Py9X4txWZNVpcwAgq1XHnBDTNDhcG0Rvi4p/xybPKo6L+vIhWTAXV5bKZPXQ0WXtYP3ZFCwEd3ktuH7MZK7HcebQSZXs8zpwdEFRKzDrJLFZTujosrG4FeJ+mWzOZYKsHQMWnXMxWHSIf2uvulYipF7w9pUEIR5hfG5YDDPX98SvB6SjsbvWm+TCCs5ppTAia8cYnRIDVdeaJj7Y3nnVmsVOg1+p+FTfmESq1lvjukCUBQsSVgeSM/b5amSGNi3rBhWbbdGc4ribfTXJ0kzHJySZyVXoa6JJV3QTh2sVYJwwXiCVTapxJGsH6yp7b7p6SNLDrtNaQyJpQFbPiG1t1RWlo8v6+ohSHbPuHsdwc8kaSuEG1XE9YPU8VtfAZNXEU/OLHF3Yj281tEe6VJxPHXNmVsbnczbeZG3g+5pdsOf093fnbcIJqReY5CPEZRd2sEnS9TpIspSpgrMx2Fwy+UBWB2xZskPj6r6vv0t02JfUAaim1xcuYuvFmqYcoFH4ZGws/7i7mUHz1dJtSzCMzw+JYeQKO8jav7v+zd3iQ+VmHQTNLUVavrl8luqY1WJfE7RG0A+FgYDVEPA1SFtjV8k1Klkd+L4iaJ55+LhySagXMCf7d/RLYO820Rl4WzVYD4zNDeYfc221euzFG1PxcUktFHaQNbi5nBhVLgkC54AtPZ5XHC9WHsPdpZ7m6Y1iXxNEGopjMWRpEN/rbOrLP2bcau2YyZRkji30OO5oUUWfhNQb9XGGJsTli2t7811Wmq+NrqbCxR0XS2sH9pxaqEH09mbxtdfXIl1bsPljBefqyQWhTHUf9pPNofYK7R3v0d7YIz7Nl7donoiN1HqTXIWyfzNzxx6olyCURfbocC7JB3sasiq4tlo/XFutHzOTlezRISzwcxXmAb/UE1hT1tv8vFEmY6NqXQB0zScdjT213iTX0Bxqk6C/oDwbtSVLycqgv7ExmetlqBJ8DfXTtxaqY60xV9zKgs/1Orqw2HMt2ON8mKvs1zVkZZRDgGEqxbGvz9s9jglZCq6wCXE4M4kJW9WhVlThQ1bGvriciI3S33yNaMEG8e/cLL5N9bdQsnp5oeE6rDvJ2i7sEASuFyVVOfDpPulo6s0/pjpm9aA/TObgCckeHqzLPk/4nmnNC72uZpjkW62d1GxiKv+Ygaj1B6Jgy4XxJKvtcTwsZiqjguW+ge66Pk8ygLk67OsBJPh8en0lhjcCvl9dUapj1oNyCDiZc+fw9Xbke9TVE3prVKmBcD1MVgZ95OxFiixOXxuYq/J26JkE7dDXEbvx79qc68On1+/aitQ3TPIR4qILuzbaSa2Z1kiHspYCpmmoRsZkZWBNYqH59LqsutYC/ryPOwPnq7WTKny/GDTfYAXn7EkGQFdZtZk5utC3At/ZOpyr7EUJSHgycL42FV+koYl2UuuxQ28o2CCNsNfVqjCGJ3KKEF3LBaF89Wm/n52YkfT+I6rnM1mFo0tRPz4qY9YKehhaYJ1KO/TVYU7PKcUx1hd6V2tdflV9HS3iH+gRvak++hBulLH5IRVvAX5fg7JCJ6snsGjM6EK1OkyjoHiEFThiOITUK/UZCSHERfDCbmNomi5dRf7mbLq+quDLg0fzTYvrGatq1WRfvhVBL76MkS7YSTXRTmqt2OeqRDpW1LienApUexnY3mUN0SLBulQcW2iRMBp6oIxazHiy1pvjeLi2Km/gnIGolYH1t7Wu8vd354uI6hLTVAUaKEogyzOfnJF4ujBOTPKtnY7GbrUuLdihj/KwWwV6b4dSG9e74pis19GlV3SN4ea1Yi+SZQHVyhjzcck8eFQpjwkhTPIR4mji6ViRnRQv7MoQiFL+5vVn57ZajHhSNVhX0AdetJYm1Y8QN7I89gsRBFRoJ7V2goGwtIQLfQxp2bmC7d2JsVxCy+cT/xZYs9RvMAG2NPmihBkGzleykxqfL9hJddvWCGT10A59jfPVQoJP72hR9m/1TH6umocderbWm+No7OsA9JcLBagoWitYj9oLz1jwuTyWGwASe7625rpVHNvHA9fH7NG+0jgZMjo7WDL+QlaPfdxoh77CMZfOqJ7kZiotxhidAQgB9RsNIcQFjM0uspOyWSOR1dPZ1KsUfSCdTclUbJzDVwIEWrJHBnPWLNGI6N1tdT9OsHzwb+6uyz4Ua4F2UpWy7KTyeCmMiRkxJmfUff+WHtXfqt5hX77VMT4/XLCT0gO0k1onLYvt0Odph77kd1PTxL99k/i628TXV7+KYwvM11po4dihU8Ky2NcBLPZcP+gTXRhTFHwW7N1IAWN6TrJHhph8t2FCKfTQMVUEy+NmaabjE5LO5pwk0FcO8ReyPjv0iC3mR6eE0uC7iHYNSPRpwYD4+rt5uBHCJB8h7qnexIUdrTLWh98XkPZIV8lxJbYq82OohMqo4IsPQXNas5BVQjup8mEP4uGCOZmh/chizGxWskO5Yg1fbweT8Avo0VxfPjOdVmNESmMPmHRG+2gntU5gw9VZZIfOtdVyoL8x5iuobklxH1FSmlQmIVPxQmEiex2vH/vYwf6UduinYiZTkjk2ohRrxjjt4vNzdySk7NCRTKAd+tLY4yttjV35IiCysflqxNZDmhQwhsZVAh7fTf/WPrXGIoRQyUeIY8mgZ8D8cP4xqzfLqI7hYukUjOEJMVBNrWvi29pb99Ysp9i0zMeV1RYrOFdrJ0Xl43qJBluLxo+B81OBdZR/R3/O9q6rdd1j7TU0v0/8pw1IYM92zuGrVB0zaL4x7OOXU8fQDt1OdnxasqNcO5Scr/JJvpiYBlVVpUCLAYugPyzREB02NmKHjvVpYb5i4NyOmTUkc2RIxDBEawyJ3sVjLT9X6broTTmbXCqPV9uPr7A2IBuLW03MjyibebJIcTyas+eE45LlDEAIEfFzEAhxJjihGzY7qTabEo2sb7G0b+iPBdVRal7CDbkAg5cv2KDOyxweVJWHsONEEFiDBeW2PvEN9KiqJ9WHb6FXjK+/S1lUEhuGKZmDJ3M2pghKcSF5CmO2QBQLEjYGFLRdTX1ybPJAfmw3t+3w/FdytfOVBeYpvZ/nxcVw/l6emcSEpBbspGAoZVeikbXTATt00cQUU9l0TccnpTXS4emhXPXaKpaQ7MkxtXZQ9pQtTbXedEeB8RK/D00yxYzFRWticdBixor6W/XRYaMMva5mEpP5BOqOrr3idVYzX6HAM3tiRMxEKlcspHocU3F8SlECFI4z8+LrKfTOJjni6ViROpbXghujNdKp4n8ZI62KpxAX7G72do/D1a6tME9BcQxQ6Km3cm1FiB0m+QhxwYUdmoXDFomsH6un4XxqNn9xt6V9lyeH1EwkJb3vqKQPHBdJpIr/tvATfQVQ9eTfuVn8uwdUcg82LWiwTorBghIVnKg2Vxd3TPIVketzOZZ/zKD5xumMbson+cbnhlXBh1fPAWuZr/S+Tgns2cp5ajXjutBviLbLxYzOFvrGIRlFO6mNgfFDMGoyNpovSvBqkm8tc5Vvx6a8mlZvacqr1kgBzE2+tqgK7FljRQrgvD82V5ivqIzZOF3RXjkweq+6Px0bV+tXr54D1rS22tSpelppAb/4kOALMES4GPRmhwm6Sj6gBxjHaMm4lYq5BAs95ch67dB7ZWjmWD5u5dUk35rjVqdtVnEZrB1ggU4IKcabESNCPBCcsytjGDQvD/ZxtI+vlzAmZyX+v7dI+r6DpyyUFoNKKDwv8bNblRWJfxNVMUuhRXMV5srSlBQxPj+sVBwAwZKWMC1+Nkp7Y7doC0k9VHHak6j1PF9lD52UxPW35ZXHpDTZ4QnJ7D9CW6mVVMdU8ZUFrq1Onasy9x+W9L7DqjemD1ZS7HFcEl9fZ85qiw4SpzAdH1fnf4D1ANYFZGM0h9qlwZdzK8G6FUVUXmTNa6uDJyXz8HGlprVsKUkxSOqp3nwY3xn2EV0M41aVX1t5sWXIuuJWP/+DaC2NSt3HtRUhp8IkHyEOJJaaVU3BLZjkKw+d0b5iO1QDNXkeWyhd/wcxY4k1/R+ej//D/5PSKJtOjNV8XNlHkNLVm6g6tJJTZP34db+02yya7dX89T5fSTojid/cyflqGTBHmakMA1GLSGVgJzmef8y1VXmAjaDFdHxCUpk1fqc9O1dlJfPQMTEZECbrYMymOm6DdZsvwHHcIAgIw2LYywWfG5mvUrc9wLXVCmo+YM7FN7SPvAbiKSj4tODaqjzgmtoikY6pdjNeYiNxKxR8cm1FSGkYiSPE4Y3Wo6FWCQVYVVcO0NfQp+UsgbJGJm8v5RWrAwS+EQBfFwuBc7wOORXVT2fBppNN1xerjguBKF7YlQ8vq2M4X1UWvXkhEDUb82Tl73oZny/MVQ3+kFpfkY3TFGyRoD/syaKEjc9VWa6tVhpj01T9C415Bs7tUBlTGbysjuHaqrLobVHxb9+U62NI8kzGx1RcRY2R5pP2RjoDlYNgIFy0TvXStSDnKkIqB5N8hDheGVO4GCEbw6f7iuxu7MlUtwMv8zVXbS4C/5/ef7Rs2+RVNZ8xS5sWCzRZT2biJasOSfmUx7OJKUmkvRMA5XxVWbTGsIiuq74x6B9DllIdaxyachxvmlY093spEMW5qvIY49PKKjA7NFGFd3MHyXRcZhIFW2paC5cP+1yVzCTU+sorcL6qfMEn1HyazrXDUqpjJPh8Ons6lgv73D/qoQIqzlWEVA4m+QhxGBkjIxM2hRmD5pULnHul2hyNh1Wz4jKAQAtejyzdl081XfdQ5e9GGLUFzZvD7UodQ8pDY0NUwoFcYtlLgXPOV5UHPVatvjpUHpdWHTNoXtm1lWm6fx3BuarKFnixuOphSETGbKrjUCAijcFmDkuZaPAHpSXckX/MtdWp8FqQrAWqjquztoIDVSab69PqZri2IqSyMMlHiMNArzgrOOLXA9Ia6az1JnkKuzIS3ubxlPtVWdljwys2K14tqgE7Xo+cAhqu+3dtFv/pW6gAKXFhx6B5efGqOobzVXXQLOUx+4EpoIpJZS1VY3FfJrJxOhp7RJOcuiGdTcl0vKBCciucq6qDFmxQNzFZlLCUowtVx5W07PRGwSfnq+r1PM6cHJX0gRMs+BSReDqmXF0s6EBVXlCQgHigOvZMQ8UJ3Q7nKkIqC5N8hDj4wq6jqUd0jV/TchJpaFIKGS8FzjOHBx39el4BQRY9EmKwZQFUE07FxvLjQ9Vx+bFXcI7PDYvhAXUM56sqq2OgPF5vPzGPrq1aIx0S8OV6rJLygPG0F6VxbXUqXFut3EfUmInV/VcS5/mx+UKxHQuoyk9XtFDkgXUsChPcDtdWVULXxJiYEXM+rgpj6x372krFWIKFGAvZOIgDeq3gk3MVIZWF2QNCHGcnxX58lcZeZeaFvnzl7rnEHk6rGCPadcr4/LCYKL1fCPC2hNvLehwS9LboEW2h0CNjpGU6Nu76YeF8VR20gF/0libRO1owYUm9w7VVtdUxXFsthmurpdGihZ7H9b6+mo5PSGYh6YTzv72XOCkPzaF2afAF1X2sY1FE5Xa4tqqmHfpCERWdEri2qkHcyu3nSM5VhFQWJvkIcRCx1JzE0wX7SCpjKq+Oge2BYWRdbx3i5NfzElhYZ06MSmbfETGT9V3BaQ/iwvrOSkaR8uHX/dIe6fJWUQLnq6rh39or/v4u0RpyVj/1ClQaU/GJ/OMuWnVWhE6bOgaJilSmvAVI1YZzVfXQGkMiPl0ka4gZS0g9Y19btUU6xe+r7/m7Us4cdstmTxQlcG1V9R7txmx9K4+hOkbBpwWtOiuDPR6YSMdkPjUrboZzFSGVhRE5QhyEvS9AU7BFNVsn5act0iW65lP3s0ZGpuLuVsdofp+jX89rgQEk92B/V88XdznVcWG+YkFC5bCP7bgHesdwviLVJqfSyFU+Q70RDbVxJ1SAaLBVGvyhwrjbgn9uhHNVle3QLYvhOl5bLT7PM2hepbUVnClcro7hfFU99IWexyhIqGc7dLiLII5i2Uq2NxaKEkn5CAbCEg21euZakHMVIZWFST5CHMT4PIPm1cCn+1SiLz/uLrdp0cJBR7+eVy/ujDq2aYHqGNWEFp2NhWAJKS/2avOZxKTr1TGcr6oLApfGXH33jrGvrXKqY62m2+NVMK72c4HrA1FcW1UVvatN/Dv7Re9pr2vV8XR8Mv+4o7GnpttTL2srL6hjOF9VcawD/vx413PBp72QB3EVn+6v6fZ4mY6itRXjVnYYtyKkGCb5CHGQ5QGsI0tdfJDy09lUuHAeswUA3Yh/W5+jX89r5KvN0XQ9W5/WpuOLVMeoMiSVAeNrV8dMuFwdw/mqumRPjknm4AnJjk9LPbJYddxhO/eT8mMfX7erYzhXVRc9HBS9MVzXSfhc0NyuOi6oN0h5CfpDnlLHcL6qkZqvjgs+i9dWjFtVK241EXN3qxnOVYRUFib5CHGo5QH6MJAqqWNc3jvGN9AjEmooy2tpoYbc65GlxyjYIFowoOIw5my8LkfKnhhn0Lwa6hhbUYLLA1Gcr2pUlDAz7+qES7lUx/ZqaFJ+vKSO4VxFqo090UTVceXxkjqG81X1+/JB0Se4Hqxb1XGh1zFVx5Wl1UOtZjhXEVJZmOQjxCHYA7e0PKg8XlLHaD5dAjs3l+W1/Ls2q9cjK4y5Zdk5W38VnItVx+zHV93AudvVMZyvqjzeTWFUDuX6xtShZedi1XGIquOK4iV1DOeq6oOex5njI5I55t41+Xqh6rj6eEkdw/mqyuMdDor/jK3i76vPomyqjmvQasbW85BrqxyMWxFyKozkEuLQnjGkur1j3K6OCZyxRbRIIWm5HvD/gd1byrZNXkaPWn35Yq5OuJRHdcxG65XGXiHrdnUM4HxVPTRdVxZ49do7hqrjWqtjuLbi2moNmCLGxIwYU3NiZg2pJ9jruPp4SR0DuLaqbhyhrq2FqTquOoxbFcO1FSGlYZKPEAcAq8giywP2jKkKXuodo4WCErr8AhFYh6yHgF9Cj7tAvQ5ZxXg3htTiUm+PQtpWV0NG1XH1Qc9Dr6hjAOerGimP66x3DFXHtaFYHTPqbnUM11bVJRgQrQF26KaYc/VVlMBexzVSx9gK1bi24rXgWkHswIglXB1DWCv4rHZ7W8atqoN9nGcSk65uNcO1FSGVg0k+QhyA3foOFpLRIBut10IdE3O5OkZvi0r4iovWrOjD88NPvEj01mjFts1roHozsGuzsmmpN3tTqo5rg5d6xwDOV1Uc64Ukn4lAVCanwq0HqDquDV5Tx3CuqrI6Jl+UUGdJPlvbAAbNa1OU4HZXF8D5qrrJrsy+I5J5+LhIMlVXquN4er6kwoxUDi+1mgGcqwipDPUVmSTEDUHzxp66tn+opTrGMxd3T7lEAmftEAk1LPtcLdSgnofnM8FHVq86nsw/ZiCqenipd0yp+Qrz0XJwvlo/WsCv+scAczYu9WjVyV7H1cNLvWMsuLaq4lg3R/I9j+tFHQPVsT3Jx17H1cPeIsPt6piS8xWUscvAtdUGixIW1q71VJRgj1sh8YR4Cqk8Xms1A3gdSEj5WaevGyGkUo3WeWFXfXXMbGIqr47Z2nG6uB1YIDSce5r4z9gm6fsOSnZoXC0MzUxWNL8v1yx8W5/4BnrqToVWbkzDEHM+oS7yEEivD9VxLuhG1XFt1DGGmc2rY9obu8Ur81XgrJ2SPTYsmcODYsaTnK/KjK+vQ0TX88m+euwZQ6oHAlHW+GONe1rPOd5ZW50+IKnb9okxNavO+1xblXmcI2E1V0kmq84FG+037QaoOq69OiaVSajHSLb2tWzxzHyltUUle3hIzHhCtRfgfFXmcYbyeDamihJ83W1SD9jdRBi3qi4orj05fbio1YzbxQH5tdXe7ZL6w/1ijE+reBX68jJuRcja8X5EkhCXNVq3W0iS6iyWDo/vK6hjTEN0zRuJLz0YkOAFu2u9GZ4me2RIjNmY+DZ1iq/T+za7VB3XvneMtQ9wke2FJF/e8ujgCZUsDz7mXHVRR8qL3pRTx9QL6WyqWHXMtVVVUSrv4WJ1TIPfGwlmM54SvbVJfP2dEti5udab4zk0XRM9GhFjek5M9BGtgySfXcWHgh6fzhBNddUxCJwfye2LuSFPJPnyLMxX/vNOy1t3k/KBuQq+Gij4tBKo9dTrmI4u1cVesGa1mmkMNosX0AN+CT76bJF0JteblxCyLriCXEQimZTPXfcd+dmvfiuDI2PSEm2SSy86X66+6kXS09Wx6oF90vNfJSeHRpf8+w++/EnZsfXUC8NsNiv/852fyPd++ks5dmJIIuGQPPL8s+R1L3uB7Ng2sJZ9S1yCfaHUFGym5UGVaYt0iqbpYpqGUsfMxCekNdJZ7c0gLkVrCqsKTnM2JlIXST7bhR2D5lUHF9NWki/Xi+Fs8QTJVE69l0yJr98biUviHNVxwBcssuYmVVLH+IKSyuas7yZjo9LT7I2EmDmfs7zVG2lRVim05oho8aSIz9sB85L9+Li2qjrtTYUkn/263O2gBy/WVaAeFLG1AMkIFKiZiZS6FoRy0ssgTpIx0uo+4icoPiTVI+gPqfXVXHI6P195JckHlCqRCT5CNgSTfDaSyZRc9aZ3yt33PyhdHW3yuEsvkpNDI/L9//2V3Hjz7XLdpz4gA5vWZvfzjCc/ruTvoyUqqg3DkLdc8yH55U23SrSpUR77qEfI5PSMXH/DzXLTLXfI5699l5y9x/1WgqQYe9Pcdl7YVR1Uy7aGO2UyNpJPYnghyQdljBlLiBYOqapoUhn0aKNkB8fFmIvnbCU8bH8aT81LPDVXFBQh1cWu3JvGhXY2LX6f+6sdjflEPgjF+aqC4xxLiDE+I1qDX3w97VIva6uOxm7X2xm5DYw31rRDM0fz+8M7Sb6F+aqRQfNKgT7RuNXD9xbncdh1WnQ0sdCl2tivv+NprHXnJdzgAdWbKeLrahUz7X2FWS2BQjKbSCnLTvQYq5diz9ZwB1XHNboWtJJ82B8D7bvEC3jBepQQJ8Akn43PfOVbKsF37pm75bMfvkYi6AkgIl/6xg/kw//5RXnnB/5dvvDxd69pgN/zT29Y9XOh3kOCb+vmPvniJ98rne25qmMk+d78zg/K2/7tWqUA9HOR5hlwMrNXDHrFes1tIABoJfkQiNrZtVfcDlQxmQMnVL8Y/xlbuWiqFMGAquI0U2kx52KitTRJPVSaRxqiEg7Ul/2fE2gOtYpfD6gqWlNMmYyNSVe0T9wOlTFVIp0RYxJJvoDo3W2ePi/YA1EsoKoNWNNaST77/nAz6lyfWlAxLFwnkvLj5blpMVC54nwOcH5vDtVHXy8ngfVspKFJtdCwrgX7G3aI28E1oK/P/YWrTkeLRkRGJlX7BtMwPV2sVlxAxWLPWoBxPzrx0ML+GPFEcsw0DMnsP6r6hvsGejxdNE1IpeG3Z4F0Oi1f/95P1f23v+lV+QQfuPL5z5TTd26T2++6T+7bf6BiO+PL3/yh+vl3f3tlPsEHrrjsUXL5pY+UoycG5de/+0PF3p9UH1ThWFZGgEm+2tBuq5qdio1J1oC7vkcqzUMNrl/4ORmMLWylgDFT6K3pfTspFiTUAljj2M8T9ottV6uO88oYBs0riQYXCU3LJSmSuUSFF0GfkvnkTP4xe8bUBvu4Y38k0zmbSzeTn6vCQQahqjHehikGbDvrZG2F8zvO86T62ItBvFKUQKoDXCjgjuDfvknEw5fcaGuC4kILOrrUhrZGWKTmDrR0NplX9bkZuE+Z6YwqUhcPJ8kJqQZcRS7wx3v2yexcTAb6e2XP6adWbiHRBm74/W0V2RHHB4fl4JHjEgo2KJvOxTzxskern7+p0PuT2mBX8aFyM+Br4K6oAS2h9rzdBBpKT8ULC1i3K2MYNK+OZaca89l5lbCoC9UxrTprRnGSzwOBKChj0hmVfNIiwVpvjadBZayOPqKqKGFevIr9exEONCqFBqk+GPuQTfE9seCY4Ga01iYJnDYgvk1Ux1QanBfS9x+SzMPHlR26VxmfozLGCdiL1yx1jJvBdwb2kV7+7jip4BNJPh2W8x4urEWCzzRzxxPiJi1hb9u+OxXEC5vDbSULRbxgg+7l7xAh1YBJvgX2Hzisfu45rbQ1w96FxN+DC89bLV/42vfkXR/5lLz/E5+Tb/3w5zIxVbrSYv/DudfdtX2LBPynuqhaiceHDuSaQhNvUGzVScuDWqHrPmmz9eGbmHN3IAoXpvkeVwsBXVI5VCJV18XMZHMVaF5VHWdyxxRoj1DJVyvs9jgziUlJZZIe6ccXFE3nsrQqtlIY99lY3ShjSC378hXGf9zla6u8ej8cFJ2q48rj94nm17GozReueY1kJlGkwmABVe1os81VyUxcYqlZcTP4zmQODUrm4WO13hTiEezuIe2RLtGpOnZMUYLbMVicTkjZYE++BQaHR9XPnq6OkgNl/f7kwvNWy0c//eWixx/6j/+Wf3rDK+TZT3tC0e+HVv3+q5/En3Vl6X6AsP3c3Ncjs7PuXrxWg1gsVtFEjL16M6xHuU9qSKO/VcZkSN0fnRmU3sg2cS3JtGixmJi6LslMSmTWu7ZsjqG9UaTBX7PxruRcBU4u9FUCjYFmScZTkpRURd+TlMY0NQnoDZI2cuN/cvyodER63Ttc6tg1RTRTElyXVB7dFC2ZFDOVksRUo4jPJ15bW43N5s7lIOJr4dqqhmD8LcbmhrgvyNrw66LNJiU5PCaiGZ5bW43Nn8zfb/AFxUiKzLo8ueRmIoGoxNKz+bVVb3SruJaxqdy5PhTg2qpazMVzt/aoSENAvDZfjcwMFsVNGEusHWEtWlScPjMz7V6rZ6imJ6dFM0wxzawIrwU9T6XnKi8QjRa+42uFSb4FYvFcJXkoVNoqKhwK5Z4XW10l4eWPvkguOv8s2bt7p7S1Nsvxk8PyvZ/+Uv7nOz+Waz70n9LSEpXHP+biNb//fKygpCDuZj41LVkzo+5roklzkI3Wa0lLqJBgn0tNKd95y8LTdVhqslCDssAjVWBBHeNVppPj+fstIdqU1VpJgvlqLJa72J5OjLs7ydfSmLu53BrLNQT8YgYDoiXTOXuc5pzdsFdIZOYllU2UPLeT6tMSLNh5JTMxSWRiEvK79HyJ78v0vEg07PlzvmNoDIlMzuYC5zhHeGxNi/O3RUuwkzZlNQbnCyvJh33j6iRfbOFakDbo1WNyVrT5hJhI8LVXP8lXSTJGWsWuLLi2qi3RYJuKH5piqnjiXGpGosFWcSWJVC7Bh6LDBpfG3ghxEPwWVYh/euMrih7DhvMfXvcy2b6lX/71w5+Sj33mK0VJvkrw/S99YlmF30ayw/VGJcZqLHk8f78l0iGtLUzy1ZIms1HuHwmoRSwWTGk9Ia3RPnEjmcl5MYJB8XW2iY/f87qiEnMV+lTOHp/MP+5r3yzRJp4/akl3uj+f5JtNT/J8TtZEtjslxvS8+BobRa/hOaIS89XkRMEhoSnYIh2tLEqoJVGJSmQsmre+S8m8dEXdaU+fmU2IkcyI3qiJn2urqmA2Nkp6fE7EMMTvb1A9r2pBpa6ZZwYn8vd72vp5Lq8xveZmGZzNtVCZSU1IU1OTKxOvpmFI2tREgkEJdLWLFmyo9SbVBdnurGRPjomWNSXgsbXV8MzxItVxT/smV343vETrRKdMxnJucAlzTjZFB8SNZOMZyQaDojc3ir+5udabQ6oI8xGVwaWa3vITCecuGhKJ0r1t4olcVXAksrH+Vs952hOkva1FDh89IScGR9b8/o01urgh5We8qB8fe8bUGlgc2PeD3XfebehdbeLr7RDNYwoNp4MeV5mjQ2Kg6txDzMQnVPLb+p60RrpqvUl1T0dTIUg+n5yRZNqd/YpUH0uj+hZs9Y7e0y6B3VtEb/Vest5+7rb3ryTO6B1jX/u6DaV8xfeH/fiqBvq06gu9pU2P9RGNp+Ylnp7PP+Z8VXvaGrG+zSUu0tmUzCanxI2YUPGZpmgBf01sI+sVfUHhjX6IZjYr3u113MMEnwPwStxK9d+NhERbONcTQjYGk3wL9PXkgpbDowXbDDvW7zctPG/dA67rMrApZ6s1Ol6o3utd9fszGeQFDCMrU/OF/o68sHPiYsm9gSg9HBRfd5v6SaqHGU+KMTUnxpS3knz2oGxruEP8brWx9RDhQKOEAgW7uImYO+er7PCEpO87JNkxdwbS3IpXq6/Rj89+7m63JcNJ7UBA0AL7B/vJbZhZQ53jAQNR1cUqWDNmCgkxrwXNGxuiRed0UhsCvgZpDrcV9bpyI0gyAa0x5NnzvROBYlKpJk3vFSVMzNkKqJoYj3Ra3GoyNqbii27E194sgV2bxdfpUrtRQhwGk3wL7N65Tf184KGDJQfq/gdzvz994XkbYWZ2Tv0ML6j31Pvvyr3uw4eOSjqT69Nm54GF9z9tp4u94Ume6fiEZNFYFl9CzSctYfaMcQL2ZOtMYlJSmdLKWkKWq+A05uKeUidNFqmOGTR3Agja2C/uxt0ciLKqzUn1x98wxEykPDPyUF1AfZFDk3aqjh1Bu1LH5Ehm4nnrTjdhLvRk1xoCnK9qsLby9bSLb7O3AstFBQl0dHGk8titBZ9GPslHZUy10ZsXrgVnvJPkg1vIvO28zWtBZ4DCW8QRgWFmZSpeWixCCKkvmORb4Pyzz5BoU0SOnRiSfQ8dOmWgrr/hZvXzskc/ckMDjiTe4WMnJRwKyo4t/fnfb+7rkR1bN0simZIbb77jlP/7+Q2/Vz8v3+D7EwcqYyId4tNzJ2hSWxqDzcpn3sLyOXcT2ckZZRcJGzxSZUINueCfaYo55077xMWgKhDVgaWCtaS2uN2mRVl1LiSYUG1Oqh8ETN9/SDJHcr0dvcCkzSEBagy/jzZlTqDBH1L9Ed1s2WlZdXKuqj5YVyHJ5yV3CqhZiwuovJXA9IzyODai+lK7Df+mLvH1d4neRHVotdGiC8rj2XlXqtZLMWGLh0BxDDcRUnt03SdtkU5XFyWYqbTnrG0JqTVM8i0QCATkBc9+qrr/nms/K7F47mIOfOkbP5AHDxyWC887U87cvTP/+69+96fy9JdcLdd+9itFg3rjLXfIrXfefcpg7z9wWN5yzYfUCR+9+fCedl76vGeonx/79JdkfLJgXfWLG2+W3/zuNtnS3yePu/Si8ux5UlPsAVlWQzlXHePGwLkxMimZY8NixgpzGKne8eM1W6npxISqDgRUHTsL+7kDfX3Q38eVdlKwN/JTyVdttFAwV5CQTIuZTHlPGRNh0NxJuH5tRWUMKSM4ZycyhWKwNib5HENrpFP1nwZZIyMz8UlxG1qoQXwdLaIFWehS9bFH0ZpPF83vE0mf6s7lRooKEiJdtIB1EG5vNZMdHM+1bRifrvWmEOIZGFWx8eqX/JXcesfdcte9++Qv/vq1csE5e2VweFTuvv9BaW9tlne99eqiwZuanpHDR0/I6Hjx4u/eBx6ST33xG7Kpt0vZe4aDQTk+OKwsNzPZrDzyvLPkTa9+ySk749lP/XO56ZY75Jc33SrPeMnr5eILzpap6Vm5/U/3SSjYIO/7f28SPxYMxNXggsEup7fbghBnBM6HZo65crFkpjMqYAtYbV47mxZjfFr1YkBBh9t7YUzYlDFUHTuLcCAikYYmiaXm8vNVf8N2cQsGlTE1RUMQqjGsVMewlfJ1NYjr+/HZqs2pOnaeHfrRiYfy5xU3nR+VGmNBkKFTdVyzfWBOz4sxGxNff6dourvrlO3XF3ARCfqpZncK6DsNGzzLzQX7CutfQlYDzmuB3Vs8Vbxmn69YkODEgs971H3EFzNGRs1hbjmv5wuoQu6+BiHESbhjBqgSwWCDfP7ad8nnrvuO/PSXN8mvfnurtESj8swnP16uvuqF0ttdkEMvx6MfeZ4MjYzJvfseVgnDubmYNDaG5fyz98jTrnisPOspjxef79Rkna7r8pF//Qe57ts/lu//7y+VbWc4HJQnPPYSed3LXyg7tw1U4FOTajMVGxdzwfrDp/ulOdzOneDQiqi55IwkMwnXXHzn7aRCQdFKzDGk8qj+F7qWS7gmUqK53F7KXr3ZRmWMIy/uCkm+Yelv2+46JZ/OnjE1Q29ulCySfLPz4utqdX0/voytH18b+/E5ijZl9YykninpbFLmktMSDbW6J2i7a3POUsrlySU3kx0cU2srvbUxb4nnDdUxbdCdeC1YSPINy46uPeIWsqOTap7SWxo9lWhyE14a91P78bE43UnAmh7xRIgIEF+cio1JZ1OvuAIUpqO9DJyQXB4vIcRJeOcMVCZCwaBcfdWL1G0lXvuyF6jbYs476wx1Ww9I/l35/GeqG/EmdpsiBKH0BUsQ4gygjIHffCIdy1+I97VsEXfZSbkjKelFUF2OHhgIREnWfX08Fvfjw8WCBZUxzgNK8OOTB/J9rtyijjGzhpiJpLrP+ap26NGIZBcSrkhguLk4hP34nE3A16CCUTPxCfV4fH7YNUk+Czd/Pzxhhx6NiDkxo5THuouTfKofX5HqmEFzp4F9cmD0PnUffamxHkb/KzccW9mRSXX9gaC5l5JNbsQ0DKUCh3OCW7HPVezH5zwQR4Q9/ejcyXyc0S1JvnzcKhJyvTqfECfBbxMhVQaBWAtadToPN/flyytjmsK13pS6xrelVwKnDbh+P0wnJiXLfnyOxm6bk8zE86o+52OKr7dD9LZm0RrYM6ZWqH6I6NkDN8LZQn8oN8J+fM7HvuZ1kx26suskjlAeA3Nm3tX7RPXjWygkBLS/cx6w60QfaoC+1PY2G44mkcoVGOo6lTE1Jjs8Ien7D4sxOSNeUh27oZCw3rDHrexxRqdjxnIOVLRBJ6S8MMlHSBXJZNP5KuaCjzZxGm5cLJmZrLKHBFTG1BZN98YFkN2qsyXcIT4XVDHXG7ASbgq2uK4oAYoYX1eb+AeoYKg12kLgHJadbuVUZQzt75yIfc0L5aWxYF3v9GMLgdr0geNiZjK13py6RkPhlJazQ1fJDJfCfnzOB6q9tkin64oSipQxTMbUFlwLGoZSHrsZe69jFiQ4k/amwrXUTHxS0nnrencUp6tWJ4SQssEkHyFVBEEoEyXz8Mr1NbjOqqgeA1Hx1JzEU84PfprxBeu7YID2LE6yJEylxRPVmwyaOxY3FiUQ56C3RpWqEklXt4L+boWghiattuAscQ7YL9qCRX3GQNHbpLhibZVdKKKiXacD7NBzwUBjNuaJAir243PHtaBbknxWb3YqY2qPZSmcs0N3fkFLKZKZhMwnC0pEWgs7k2iwVVmi5zCL7OudCuIjZiqjWjWjKIEQUj6Y5COkiqAHiQX8s1ll50zCgYjqzeemizv0Vgrs2Sa+AapDnUB2ckbS9x+S7MlCTzt39+Oj4sqpdCwKRDndxgw9SozJWVcnwL2EHg6Kr7tNtJAVIHAf9nN0c8ge7CBOwq/7lQ2em9ZWeRv0xjDX7E5SHs84v/iuFDg/UxnjDuzrXth1ZoyM448tKmOcA9ZUOTt0U8y5mOsLEkL+sIQD7u2FWk+tZuzxRsei6+Lr71IFhm7uWUmIE+E3ipAqYg9osB+fmyo4h92xyAv4RWc1lCPQQkF1YWfMxXON113dj09Xdp3EmbQplWXOIjadTSpVk5MxY0nJHBuWzMPHHZ+QJG5UHbMgwcm4reexpYyhDbqz+vKJYYppmK7vx0cln3NpDreJX8/1DDZNo6jwzZFAGZPJKktbLRKs9dYQnDei7i5KsK+tYNXJ4nTn4jblseb3ia+jRTmJEELKC5N8hFSJVCYps4mp/OP2JiqunEzHIgs8BqPJmis4A37Vj8GqrHVvP75O9uNzMFAtIRjllgpOe6U5AwbOAFZSUB9nXKg8PrUfH5N8Tsa+fyZjY0o17uRjK9/jij1jHAHWVXCtCJw+4Mr+x0X9+BqiEgywF5FTQYFbrojKHUUJ+b7s6MenM8TnBPTmSN5e2I1xBLvqmGsr98StUOyZyuQKlAgh9QdXAIRUCXsFYIMvqC7uiHOxN5dOZuKq+tapQC2WOXRSsuPOVvDUE0heaNGFizsXNl1nPz53AftnC6f3YjCojHEepinZ4yNijE25zkaV/fjcBew6dc2n7htmVqnGHUsyJYJeSrqeU+cTR6AKqLzQj48FCY7HTWsrvaVJAmduF//mQmKS1BYtElbnD8lkc/1dXQT78bmLCIpG/KGiIiqnAsUxYlZmwl3fCULcApN8hFSJiRgtD9wEFkr2RKyTL+7g9a+qBBeC58RZtlLm7LyrKjiNRbZEDEQ5n3ZbtTlUTU493lTPmJhlf0cFg5Nsc1QwyoW2UuzH5y503Vdk/+zktVW+IEEpY9ynGvM6sEJ36rmuFOzH5z7sSr7p+IRkHd6XT/P5RAuyJ61TwHnD19WqLAndVpzAfnzuKy5ui3S5wrITji7ZE6OSOepsdTQhboVJPkKqhD2QYT8JE3dc3NntwJwGlTHORGsKq94YZiojsmCj4wZmEMhgPz5X0RrpzN9PZ1Myn5wRJ6IqmdGj0gdlDANRTkJfUB6bs+5SHk/Y1lYsSHBnUYKj+xw3N+Yt14hzyBwbkfR9h8Scc48dOvvxuY9oqFV8ei45Y4opU7HxWm8ScRm+nnbxdbe5LslnX1uxH587cE/cijbohFQSJvkIqQKZbFpm7P34bCdh4lyKKqIculhSlcwLyhidyhhHgZ4YOhJ9C/0Y3IK9+g+KC5+es1Yjzu7Lh2CU0y/uLLWxDmWMRmWME5XHsH9Gjz739OMrdkkg7lpb5ZTHhmO/E/5tfeLrLMytxEGgZ+LsvCuVMezH56K+fLYiKqeurYypOUk/fJxtG0hFHKhYQOW+tdVsYkoVfTr6WpBxK0IqApN8hFSBqTis73KWMn49IE3BFo67C7AHDOOpOUmkY85UxsCuyO8TCQZqvTlkEXpHi/g2dYre2uSasaEyxp24oiiB1ZvOJRgQrSGgziewgHZjPz57MJY4l5ZIh2iSS/LD/g7BKELWgqWuNGdirrHs5NrKG0UJTsSYi6mCTzPprp669QJ6kBmTs64p+GQ/PneC+CKKPi3srTecgpkt9KfUGgs9BAkh5YNJPkKqbnnQRQWDSwgHIhIO5NQNTr24s1dDURnjTCUAVAAqeO6afny0v3O9Tcu8M/vy+fq7xL+1V/SWwrxKnAHOH9pC4NyYcUcgiv343Ilf90tzuL3kGtkpmMmUmKm0I+dRAjv0yIIdelrEBYmNXD8+qo7dvraCXadhZMW514IMmjsRY2JGMseGxRibcl2LmZA/XBQLIe7py+fkuBXiIm6zsCXELTDJR0gVsJ9k2Y/PXRQtlpwYiMorY3hhRzYO+/F5Y65KZuKq/48je1y1NIkWZD8+J6JHFwI5WecFMUtBZYx7cXogKjsyKel9R8QYmaz1ppASaD6bHfqM8851i2E/PvfSEmoXXcvZ1htmVqYTzpoTzExGFSUAjfZ3jlYeKzt09KV2UQEV+/G5C+fHrRaSfJyrCKkYTPIRUmFgRTQdn8g/ZpLPvRWcjrTAQ18rXeNiyeE2LdmJGRU0dDrsx+degv6QNAabS/b/IWQ14KI7sGeb6kPmdNiPz93Ye1Pn+vKZzgxERYK13hSyBFp0IXDuAgs89uNzL7ruU/2pnbq2ys9VoQbR0LqBOI9gg2gN/gU79Fxxrnv68RXO1cRdcSvEHzNGRpyEEWNxOiGVhkk+QioMTrCmmava8imLojaOuYuwJ2XnkzOSyuQuppwCgrGBvTvUxR1xJrCTyh4fUUk+03BWIHMxVMa4Gyf35cPxnx2eYM8YB6OhYMQl9jnF/fhw7LMfn5tote0v7Eesr5yCmc7kbCBVki+nFiPOtEO3HC1QTOWetg2Fft/EnUUJTsKgMsYddugLTglOVx4v7sfXFuF85SaioVYVbwSmmDIdGxcn4d+2Sfzb+/LqVkJI+WGSj5AqXti1hjtF1/i1cxORhialkLGYdGATYxWYhaKPOBItHBRBda1h5O1V3dCPz14NSNyBU21aoNIxxqdzSb608/snEREza7ioH1+bBHwsdHET2F8IRjmxKCFvgx4OKltI4kzQ00dvaxZfX6eI5p5+fO1M8rncXnhMrZedNl+xH5+zsZIa5mzMccp1O/Zrh6A/rOIgxD0gzmgvenNaUYKy2o42iuZ3R0EhIW6EVy6EVLMfH4Pm7m9i7KTAucODsKRwDOl5W6l5V/Tj0zRdWm32RMQd2M8xi3sA1ZRURqljYC+sRdg/1Mkg+JQ+eFLS9x/K7TNXKGNYkOBGnLq2KihjOFc5Hf9At/i6WkXzOdemkP343E9rpEO0hUwy2nDMJqbEKedrJLvF52PbBoejepDpek4pnii4EDi5gAoFCSwidrmri4PWVoSQ6sAkHyEVxDCyMmVTfrXbTrrErX35RpwTiN1/RN3MJJUxrrGVmnFuBaf9wg4JPsvug7iHcCAi4UDuWHPSxZ1hV8boXHo6GRXQMQzVO8aptlKL+/FRGeNO7PsN+9Mp58aCMoZWnWTjsB+f+8F6uCXc7riiBJyv/Vt7JbB3m2ustusVrH31ptw5xYw5q/WHHfbj81pfvnEVj3QCmROjkh0cy9uhE0IqAyMthFSQmcSkGAvKGMjnm20XCMSdFVGo3rT3AaoZSOxlsjmlBS/sHI/WFFEqJrWwdWhS1m5FS2WMe7HvO6fYtJgLyhgGzd1WlODMJB/6xRT342MBlRuxW0qhD1AsNSe1Br3dLJUFlXzuwMxkJDsxI2Y8KU6Eaytv4MS1lQXVVu7A19shgT3bxNfRIk4klUmyH58HaAm1i67l1O2IQ04nJmq9SWIaphiTM5IdncoVEhJCKgaTfIRUELuKokUpY5xrJ0OWpinYUtTvx67OrLkyJhJSPfmIs4EHvbJqcahlp6n68dmSfAyauxa7Ytwpgah8jyva37mCvL3wXFxMB16M24Pmi8/PxD00+EPSGGx21nyl55Qxvp529oxxCdnBcckeH5Hs1Kw4vm0D11Ye6cs36gjlsbJ+dMB2kNWhhRocrbi0Xwfi/Mx+fO5E133KYthJymMzkUTGUVkLS5BrdkIqCZN8hFQQXth5tC+fAwJRtJNycdP1lPP6XM0mpyVjWApDjf34XEybzQIPiicoZGoehFqwZmGSzyVYgSjTFHMul6B1ElxbeQenra2UpVpLk0ryEXegR52rPE6m40UKVSb53EurTXkMJflccrqm24MCnPS+I5LZd0SpWYm7cGJytnht1UmFqFf68jlgbWVdS+iNIR5XhFQYJvkIqZYyxmbzQVweiKpxRRQuDCz7Oyj5iDvQ26IS2Ltd/P3Omwsm5wtzVXOoVfy+QE23h6wf9OQL+sOOUR6rnqG6nuvHhwpO4orCFm3BstOJffmKAlFcW7kaJ62tiDvRomHUJqlzjZl0gJ3+EqrjkD8soUCu2Iu4DyjGo6FWxxQlmLGkKsRRcG3lGoxYQjKHTkr22LA4DRZQeXNthetAwzQc4ujCXseEVBom+QipEOjdZiljNChjbBWAxO1NjCckY9SwahLKGPTi05jkcxNIcGh+ZyY5pmgn5Vnl8cT8SE23R28KS+DM7eLf1lfT7SDrVB7PxhxVcR5PxySRjpXs60bcR7ttbRVPz6v9WyvMrCHZ4YmcTa2DjnmyirVV3g69dsfPSkHz1sYuKhhcTnuk2zFFCXYbdPbkcxGapuYpFFA5yQ4dcY2Z+GT+MddW7gZ2nYg/gqyRUXHJWoH1FJLbgI4uhFQeJvkIqRB2aXxzuE38unM92MnKoHrTt7APTTFlOjZe+3584ZDq9Ubch5Mu7LD4tlebUxnjfuz7sNbV5nllmIP7kJBTQdBcb24UvbsNJz1HFiRAtUpljLvB/sN+tJisYVGCGUuoJB/6uzFo7k7LTqcpj6mM8fbaqpbFAIbl6EJljDv78hlw5XGOHTriGohvAMQ77KpV4j6wD1vC7Y4oSjATKWQa864uhJDKwugwIRXCfjJts1X+EXeia7pjesdoDQHR25tV3xjiLqDATB84LukHjjhGKQD1RDJTuNCk6tj9tNvmKlRvon9MLXDKMU7W15sM6ktfR4toeq4a2HlrK+dZHxP3FiXYlTHEpcrj+biY2aw4gUw2LbOJQt82KmPcj30fot+xvd9iNTGRIFpQxuhs2+AqVNFbNDdfGTPOUR7biz1xHahpDBN7qUd7TQs+4T7l96kWMyygIqTycPYmpGLKGPaM8RrFFni1WyzpjWHxb+4WXxer7FyH37dQ0ZbN91WsNfa5KtIQlaCfAU630xhsloAvWPO+fLB6TO8/otQxhFQiEEW8VZRQy2pzKmPcixZsEC0YUKpj1avMAUzFMVflCl38vgZpCrbUepPIBmnwh9T6qtaBczORFIEjCNxcQg012QayfuCSAExYdjqkGK64bQPXVl5gcXF6rY41HO+BPdvEv7WnJu9PSL3BJB8hFWA+OVOknOBiyYt9+cbFMJxRLUzcAyrYLFspc3begcoYXth5py9fZ82LEmAtbCbTuR6ixJVg32XHp8XM1H4fpjJJmUtOlzwnE29Um8+nZpVCphYW2nllDJV8rsQ30COBvdtEX1DJ1JrJeZsNehjKGOcookmZihJqleRbUB2j6JPHlfvQmsKwCMqtjVH4WWMM05CpeKENCV0SvNOXTxb68iEuaV8/10TB6vPV7P0JqSeY5COkAtgX/fA0D/hYZecFWkJtomu5BYphZmU6UX11ClRgaF7slMo/sv4KTqfYtNhVXgyaewcnWODZA1HEnWSODEr2xKgj5it7EKrBF5TGhmhNt4eUB/TkC/rDNZ2vlPrLNEXz+0QaAlV/f7JxYFuo+Z3T+7XY0YUFVJ5cW9WogEr1zO1sZdsGF9uhW+tiY7b2a6vZxKRkjVwhF2w67b3ciHtB/LHZ1luxJmsr02TMipAqwyQfIRXArppgNZR30HXfQlVU7S7uoKjIPHxcsoO1sd8jG0eLhlVhnZlMqVstgWICygkLzlferDafiU9IZuECvlqYWUPMeM42jT2u3EteeTxTe+Wx/Zyb6xlDZYx3lMe1DZwX+vFRGeMFal0IB6cPOH5YtLJ/qGewz1XoaR1Px2qS0PZv6hS9jYUubkVraVKKPmUz7CDVMQqafbpziiXIxqj12sqYnJXMA4fZtoGQKsIkHyGV7sfHCzvv9uWrRUXUQh83PUJljFuBXQUCiU6o4LSr+NCLD4oK4g2gIvfrueCBKaZMV7kvn7K+M0W0Br9oVMa4Fs1SHs/FlaWhc3rG0KrTS9RaecyCBG9gzMxL+sAJMWrcB3Y6Maks8AAcQBA4J94gFIgUrZUn50dquj3EnfjamyWwo98Rakz7OZcFCd5dWyFuVe0CGBRQmZmsckoghFQHJvkIKTOo6ktmchXBgPZ33sIeWESCxFy4iK8GWCSpZutUxnhGHYOAlHP68XVRGeMhYLkDtZPFZLWTfDZlDHEvWqhBtIAf0pT8Pq0FsJJC4NyC9nfeVR7PJqaK+lpXA9/WXvHv2uyIgCvZAFCQz8cdtbaC9R2cQIhXixKqu7ZCywZjLlbzohviDZD0YduG+ohbpTIJiaXmqvr+vBYkpPowyUdImbEvlCINUaWOId6hJdIh2kITYwQdZxPT1VXGIOgaDOSCrsS16M0R1Zuv1lY7rN70Nm01TPIZC6pjLcJzoNutFLVoRN2vZV++6fhEvqgGVlJRKmM8RWOwuah/9VSsYHVYreNc9XTj2srVqLkKduiJlJipdM22g6rj+ir4rCbG2JRkDp4UY3Sqqu9LKoOZztTU1QUtG1LZXAHx4usG4n4a/EG1vrKYildvvsI52Ewt9HrktSAhVYNJPkLKTLFVJxdKXsOP4GK4rSaBc1ZDeQct2CD+bX3iayssvKtNJptWigkLKmO8h13Jh/5Aln1Y1RRgwYDoVPK5HhQkAHN2vma9rooKEsIdomu8hPESSLK1hjtrFjgn3kDz+0RbsLOvlZov17ahcPxybeU97Nf3c8npqimPcWxZbRvokuB+4M6TfuCwZI4MiWmYNVcdNwVbioptiDewr63s/RcrTX6uCgdF83HNTki14LeNkDJjv7CzB1iJNy/u7NW6VVPGNFIZQzbOVHxc9WoD6N0WDbZwWD0GbMJg21lQHlev8tvf3yWB3VtVso+4G60pjCyMqjiXharcamMPTLBnjDcptheu3toqc2JUMsdG8n35iLvRF5THZo3UMUj6ZAxLRVicvCbeAE49AV+w+kUJUMbgPAyFfaTw/sSlBBtUYUIt7dCpOvY+9kKT6sat2LaBkFrAJB8hZSSVScp8cqaknQfxDvb9iqRuNZQNJvqMxHNJPipjvIOZTEl2bKom6phiq87OfDKIeAfYGrbYbA2pjiHrQdN18W/fJIG925U6s9pAgWq3GKJLgvcDUbBnNYxsxd8T515jak6MyZmaqVRJZZTHxlxcrZ1rubZqDrWK31f9OZNUXnlcCzv0gg16UJ2XiRfs0Bfmq9naKI+pOq6vuJWyZ80kq6rk01mcTkhV4eqAkDIrYywafEGJNDRxfD1ebZ7MxCWRrkK1sK6Jf3u/+Po6RNgzxhMgoJh++LhkT47l+y1Wk6JG61Qdexa76qla6hgkr2tlPUQqg94UFs3nq8nwziWmlBIVoCdua6SjJttBKktLqD1vw2qYWZmphvI4mRLJZtUaSwtRGeMJ0Le6IYBFlphzsRqrjqniqw9Xl+ok+Sy1F4s9vdWjHZgzsaoXmiB+EU8XkossTvcm4UCjNPhDVZ2vcCxrzZFcQQLbNhBSVfyVeNF4Iinf/fH18rvb7pLB4RFJJFPyv1/7dP7vs3PzcuPNd6jqlac+4c/ESSSSSfncdd+Rn/3qtzI4MiYt0Sa59KLz5eqrXiQ9XasLKszMzstNt9whN/z+Nrn7/gdleGxCGgJ+2bltQH3e5z/rKRLwnzr0b3/fJ+SHP/v1kq/7jje/Wp73zCdv6PORyjJ1ijJG45B7kKA/pBK4sdRcPnAebshV4lW02g+WabgRT4B9ClspqAiUrVQVF8FQSEzFCkUJvLDzdiDq8Hix8riS5yaVvH7ouLofOG2z6j9JSLkqzZvDbUqhSryHrvukOdyeD0BhTV3phG5BGRMSTeea3TNrq9amnP1qlQsTcv347L3Z6ehSNz2PjayawypJoR8f2zZ4Ba0pkrNDT6VFkmmRKlrc29dWSASFArmEI/Gm8nh45nh+v3c391f8Pf19LHIhpBaU/Sp530OH5A1vf58Mj47nq1EWB5OaGiPy2a98Sw4fOykd7S1y8QXniBNIJlNy1ZveqRJzXR1t8rhLL5KTQyPy/f/9ldx48+1y3ac+IAObeld8nS9+4/vyX1/5tvrcZ+zaLmfvPV0mp6blj/fuk3seeEiu/83N8ukPXyPhJSpGkVTsaG895ffbBio7GZMyWx6wetPzF3dWkg8BqU2t22q9ScSF6NHGnFXYzLz4equnTplJTCqlhNoGTVe924g3sQfJU5mEqtqtpMrcTKRUfxFBk3WoKYhnyE7MiDExI76OFtHbolV7XwbN6wesna0kH9bUlV5ZURnjTaq5nrKD8yscPizaGpnk8yrNoTbRNZ9aS8NSejoxWdFrf/TiU4kgVZTAgk+voPl05ZRgzMaUZaevmkm+eXtBAhMyXo9bWUm+avblI4S4PMk3NT0jr3vbu2V0fFL2nr5TnvLnj5HPfPmbMr/IhgzJr+c87QnykU99SX7zu9sck+T7zFe+pRJ85565Wz774WsksrCA+tI3fiAf/s8vyjs/8O/yhY+/e8XXiYRC8rIXPlte+OynSF9PYXF/5PhJeeWb/0XuvOcB+eyXvyVvfNWLS/7/VS96jjzy/LPK+MlINcgaWdVDpJRFGvEeqM49OXW4Kr0YYHuXHRoTPRIWraWRClEPoUUXbFoSKXXxriymqoD9mG0Jd1S8+pjUDli0NDZEVR8GK2FS0SSfZScFZQzV7N4ilVbWwkbAX7Ukn1LGFAWiuLbyMrm18z51f6rCymO8NpUxpFIFCTjPwvmDeBOsm1EgZ+1zzFcVTZT4feI/bUAkkVKJIeKxa0Ek+WZi4usq9NGubm92rq28jH3tjIIEWOBX0hXDmI8rC3TOVYRUn7KuEL78rR+pBB+Sdl/99Afkyuc/U4INpdVqf3bJI9TPP923X5xAOp2Wr3/vp+r+29/0qnyCD+BznL5zm9x+131y3/4DK77WK178XHnz3760KMEHtm7eJG961UvU/f/95U1l/wyktswkJsQ0cw3eUdmHZuukPmxa5pLTks6mKvZeZjwhxti0ZE6w8spraH5f3nYHar7aXNixetPr2PdxpXsxmHO5JB97MHgPrTlnS42K82r1XIRiPpVN5h9zvvI2rWGb8jibzDsmVIRURqljYJUGu07iPVA8ZVSx53Fxr2MGzb2OPalX6Z7HyoY2HKyqip5UB72lSfwDPeLfurJjWLlA3ALxCwuqjr1NNNQqPi1X0It45Ux8smLvZWYNyRw4Ien7D4qZyfXTJoS4NMl3w+9vVwsQJLh0ffmX3r6lX/x+nxw7OSRO4I/37JPZuZgM9PfKntN3nPL3Ky57lPqJPnsbYfeunPHMyHhB8UW8gf3CDpV9VMZ4GyhjAr6CpYa9v1m5sSrN9UYqY7xq2QlUX74qAPUCA1H1hT3YWEnlMY6tfI8r9ozxHFo4qNQEsGM1YwVLukpiD5w2BpulwV+6eJB4A+xf7GeLStpKIfiEnqFaJCjaCtetxH0Y03OS3ndEslUskKP9XX1hVz9ZymNC1oq24I6Aws9qYb8ODPiCKq5BvItqzWFr31DJogTr+kALBETzs4c2IdWmrN+64yeHJOD3yxmnbV/xuUgGNkUiMjtfnaDmSuw/kLPd23PaqQk+sHch8ffgwvM2Mkags31pKf4vbrxFrr/hZjEMQ/r7uuWyRz9SdmzdvKH3JdXux8fqzfpoYtwlI7Mn8oGormhfRe3vtCb2YPAienOjZIfGVXIE6hhNr4w1mcV8cqZIeWrv2Ua8iV39hP2fyiQrkyxJpkWyWVxNihamMsZrKCUB+ohOzijlsd6UsxuuJOzHV5/qGMxT1tq6v630tdlG0RvDou/eIiZ6iBLPYRWamPGkUmwikF5J0PPWssUGtL/zPvb1M9bV2P9NtiKFcmFmspIdHFMOCSoZRCt0Uta1VSePqToAcauJ+ZGKu7rQBp2Q2lLW1S6ql3w+fVUnCTw3Fk9IOOSMitzB4dyJrqerdLDT+v3Jheetl+u+/RP183GXXrTkc7763dxzLD72ma/I8575JHnb61+h1I+r5VlXvqHk74+eGJTNfT0yO1u4ECGlicVi6+oZE9QiHN86IOwrVL2NzQ5Lb6QC3ylUhU5Oi5Y1xDSzIvzeeg/s465mkUhQkvNzFZ2rwNDssfz9xkCzJGJJSUjBDo94D5yjAnqDpI1ccndw/Ji0R3rK/0ZTc6Ilk2JGQus+lonD8Zm5fTw6KdIUVFaHlZyvJuZyAQkQ1pu4tqoDQlqhZ+j43Aj3OVk/uogWT0pyaFSktamic9V4rOBOFNCDkk2aMmtL+hFvEglEJZbO7eehiePS0zRQ/jeZjYk2NCZmMCASqGwhIKkRKDaZnBOJJUU2d1Z8bTU2M5y/H/FFeZ6tA4JSKMybmB+VmZmZyiR3xydz1wlaI+NWZMNzVb0SjUadkeTr7myXYyeHZXxySjralu9Hdu++hySVTjtGoYaEIwgtkXQMh3LVgLEN2BN98wc/k1vu+JNEmxrlqr9+zil/33Padjn3zN1y8QVnq6Ti2MSU/PaWO+WTn/+qfOP7P5NAICBvvfrl635/UjnimXnJGOn842iwek2TSe1otu3nudSUGKah7BDKSjKdS/ChyTou7oj3wAK7iirN2WTBh59zVX2Aizjs64l47qJ+NjVZmSRfOChmV2vO0pF4k0hITPQwS6XFTGUqel5CT7ZEpnAhGA22V+y9iHNoDhX2cyIzL+lsUtmJlRX0lERsi4oYb4O1VTz5/9k7DzBXqvKNfzPp2c32vb3fC5cqRbpKFUFRQBEbKih/xYLYEBsCYkNBRRE7KoqdpoINkKb0rly4F+7l9rY92fQp/+c7ySSTbHY32Z0kM5n39zz7bMtmZyezZ8453/e+LxFnxc6gyDfTuRWvD6C2cgc8tzKKfNH0cH2KfHwNM2yZDVoTvhcNx0hSVaE+5rlWvdB0lcYzxTw+zK3cQXuguD+v6golsuPW27RysTqZdwvCeAVAU7C0yHfIgfuJIt+tf/sXnfuOiUUsMz/4xR/E5PeIQw4gN/D402voimuuE3/zlz59viiIlvPON7+h5HNW273tja+lQw7cl97yvk/S727+K539llNp3pyi7dZU3Hr9d6dU+M2mOuw2pjtXo8PFTvP2QCd1d2Ijyg20tYXp2d0eMVnmAp/uzVLEZItnBWp6lNRAgORImLwd1lvAgNaimnF9fEdxYTenawHuBS6hPz2/UOSLK9H6vO78lNYOgcCGKP25hjdPextJs3DkmO4a3BUtjlUBb4j6uvqxce4C2vV2CuwOUlrJNWBm5RT1RKwdWLTRGClbdpPcFSHvojmWPjewD7rXT9lokkjRydfWNuPsxWrul4mBnMUs09c5D3MrlzBHXUC7xjeLj8ezY3V53bM7R0kPBMjb10My9m9aem6ljcRI1iTyzuJ1nu4aZBtsnXI21bLkoXm9C61vUga2JDLYRbHUqPg4KyUoEllg6fNr40lS/H5hj+3tQbMLmOZ6xP2sLlg6mr/zza8XTSg/veEmevCxpys+htVpn/7St+nfDz8h8vve/sbXkh0I57NjUqnKlmXJVG6hGQ7XrrZ4YcMmuuDzX6NsVqFPf+RcOuHoI2r6+VXLl9CxRx1KiqrSQ48/U/PvB/XH7GvNvubAHciyhzpDPRVzGa1CT+W6oTiHAbQ26u4Ryq7bQloid7+pB+lskpLZeMWsNtDamF/rseQwqZra1OMBzsW7dJ54m02BbyZzKyhj3AG/zubxqh7ZMZyBK9R8dc7ABU0mmNtsZFt0ndV8dYLvp2OpopIPa0H3YH6tk5lxMc+2Ep3dXPJKPiNnErQmnHnM6NHiOq0emO+pvI+BAp87x6u67FvFk4WxCnN2AFpAycfFqAv+75109Y9/RR/41OW01x7LaTyeu0lddPm3RO7dmnXrSVFyG0tc8Jo/t5/sgHEcuwaGKn7f+PqCGo93645ddN6FX6RobJw+9J630VlnnDKj41u6KNdlMThUXEAA+zCSLN4kEbTuLngjygivrsdGFHeY63O6YSnlAvREivRUmvRYom42LaPJ4j0u6A1RyFf05wetTUeoW3TssvJY1zWKpoZFCLtViOJ0JisaEsSmKgCzxHxPRUOCu+CxaVd0a903omQ0ULU0vMkodbSRPjRGWjROckduE91q+H7K91WG77ORIGIb3ELQFxbz6ZSSLOwJzPNZZ9mp56NiJL+XJD9iG1oZKRISNtJ6Okt6OkNSwF+X34O5lXvhfcrNwy/Wbd9KZltsj0wSImYAaBqW67Lf+4430mWf+hC1hUP03LoNlObMDl2nf9z9H3r62bVCzdbeFqYvf+YjdOapryG7sHrlMvH+uRc2VPz+mnW5r++Zf1w1DAwN0/s/eRkNDI0IleMHz3nrjI+Pi4RMqM5d02CGyphM7vVh0L3p7o4oHu+shhd12DRvfXgjiuGNqHphFKQZbJq7C+7U7Qr3Fj4fiVu7uNOGo6Rs3kXaYM4GBrQ+rDQ31Ob1VsZgvHIX5tc7mhohVVMse25dUU0uCVDGtDpyT4dQHnvm18+5AMoYtyuPiw1ToxbPrXRWHcPRxRVIHk/BuUfjhs86wPsUcKByLyXK42ycUllrrzMuTHv6ugqqVABA46lLq/WbTnk1nXzcK+iO+x6kJ//7vCh2qapGfT3ddND+e9Frjj2KIu32+sfn44q0h2nLtp30/AsvCRWimTvufVC8P+aoQ6t6vrHYOJ134eXi+U5/7fF00fnvnfGxZTJZuu+hx8XHe++5YsbPA+qDucNYKGP89rq2QeM2orJqmhKZGLUFkJ0HaodzF1nnzrY8elapS2EX3ZvupivUR8Px3XXp4CxatMBa2C32wurOIdG1610yz/LnjyaLyhiPUMZ0Wf47gH3h19sje0Vxj68DthjuaZtjmWqe4U5zyQvVcasjhwJE/NagtSAaEtwHv+Y7o5snuPtYAa8HGMyt3AGrjdXxpGj45GKJ1SQy45RRi/FEnaFi8x9wifLYFy4U93gtOK9zSbMPCwBgIXVb2XB23WknHy/enIDP56O3vfF19JNf3UhfufrH9KOrLi3k9F3/+z/RuvUb6ZAD96V9V68s/Mxvbv4r/faWv9IJrzqcPvb+dxW+nkyl6cOf/rLI4jvpuFcIZeN0nsQbNm2lZ59/UTzeb7JiGB4doy9e+QPauXuQVq9aRgftv3dd/n5g1aa5PexnQePwefzUHuik8fRYYaFvVZFP2TZAlFVI7u+CpZQL4KKeFA6KDUixuOvttPT5ebM0mg/bZrAR5T662/qI8res0WROeWxFZgJvQrG9EMPXMGh9DAUUd5tbdR2Z4evToCPUi8wYFyqPefNxOL6rMNe2qsinoSEBWK6MKVqhw9HFfZhf81hyhBRNIa9szTabd/Fc0lmFavE9Fti44VOWhKqv3nMr3q/we+ES5kY79B1jmwr7VlYV+XjvgteDfA3DWhiA5oH2RRPnvetMevjxZ+ip/z1Prz/rQ3Twy/YROYLPrFlHPV0ddPmnzy85eaNjUdq4eZuw4zTz3Z/+WliTejwyeTweuuQb11Y8+V/57AWFj4eGR+lzX/0OXXHNdaKQ2N3VSQODwyLDMJ5I0tz+XrrqsgsRYGpDzPZ3WNi5E37djSIfb0Qt6rZGcasbkyWLiz3A5os7zuZjmxaLX/docgTKGJfDSj4R+EE6ZdUMxdNRag92WmcnFQyQ5PVYcKTA7ohirkfm7gHx+kvtobopYzC3cif8uhtFPitz+ZDH5z50RSFtKEp6RiHvYmuKxWZlDDt5GEAZ4z4iwc6i8ph0GksMUW/7XMueH/Mq98B2h759lpMkW56qNLE5XawJgBvnVsUiX3Ef04rYBhE5Mr+XPP3IpQWgWaDIZyIQ8NN1V19OP73hJvrrXffTv/79MHVGIkKNeP65b6d5c/pqys9ji9K/3nnfpI8zF/mWLl5A7zzzDfTMs2vphQ2baTQaI7/PK75+7FGH0llvfj11Rtpn/kqDuqCoWYpBGeN6WBG1ZWS9pZMlnfNM2aJFgjLGdbl8u4ZJG0+QrmmWLvLMm6SdYShj3IjX4xObUcZ9i68JK4p8RWUMVHxugbvLOXNDG42RHosTWVjkK1fGmLMkgXswq815Y9IqVYPc2U66yD7CeOUadCJ113Duw3k9ltqhmzfNoYxxJxJnHof6aCi+s3BNWFHkq4eSC9ifehX4mNI8Psyt3D63iqXGxH4mrw9nO1bBJQEAezDjGe4XrrjGkgPgiUu5Qq6ZBAMBOv/cd4i36fjQe94m3ioV78wFvGqY09dDn55Fbh9oDpwRwh17DHfw8eYpcKftgbmjN62kKOANWqOMCQVJYrUEcAVS0J9TQwX9QiFDFi70zBYt6N509+LOKPLxYn9xT9GGfKZAGePe7Bgu8gl7YbYTq5MyBtbC7qRLZAXllMeKlhWOCVZkM4oOc3SZu88OPRQQmcdsMezp6ahPHh+UMa5WxxhFPquUx+qmnaSrGnnm95IMK3TXoaczRH6fZYVedvAYT0cLnyNmxp1wzIxX9ol5Fc+vRpND1Nc+y2ztVKawb8H3WgCAA4t8f/r73eKGw1X7cqq9ERndSXYq8gEwm6B17uQD7oMDjAPeEKWVZGHjfG7Holk9p9ENJaPT3FXwPdG7xyLLO3dzypjS8Qq4tylhy/CLlimPdVUlnRd3UPK5DikSEjUYzmPkzSi2maqHMoazb4H74M7yjmAXRVMjhTm3FUU+4N6mBDWZFlb4ZGGRz9xABWWMe+nizOMBc+axNqt9AaGMGU8SsasH1HyuI7t+q2j49a5cSFKbNU4JZocEnydAYT9cwtwIjye8DzA4vqMw555tka+g4gsHMV4B4NQi3xtOOpYk0V05kbv/8wjFxuMU8Ptonz1Xijw5ZtfgMD23bj2l0hnqiLTRsUcdNvMjB8AGjJrz+NC96erJEndw7oxuKWycz7bIZyhjrJrYA+dQj8V8IhMTHZwGsL9zL+YCbzIbp3Q2SQHfzMcZyeMh315LhULCSgs0YH/4ted7lD6ezKljLCryIY8PmMcro8jHc+4lPatmdXL4OhWKeYxVLrZDT1pmh55R0iLb1gDKGPfCWYy8N8YOP5zNxzZ4HaGZ51LxnIoLfCL7lt09gKvgexRLKfRogsiyIp+52bMXxRgX020q8lmhPNYTOQcqNKcD0HxmvBszmR3lRZd/i8bjCfq/s95E733Hm6i9LVzy/XgiSdf95ma67tc3U1ZR6Otf+PhMDwGApsIdeixvL+ngA67eiDKKfOZJ9EzQFUUoI4yOKOA+hEqe1VFejyWbkeYJfDuUMa4m5AsL9XEqmyhcG/M6F8/qOSW2E/LPLs8BOBNhfdjXRZKFmXywFgbmjajNwy9YshHFhR1l4w6+wZJv9RLLlKfAGRjFXc675kY6KdI26+ccM60DoYxxN16O7Qh1UzQ5XGj4nFWRz3B0gTLGleQyj8dJi7EdujXZebAWBpUaPscSg6TpGskzVB7znkUhZgbN6QA0HUu9BW/8yz/pH3f/hz54zlvpgve9c0KBj2kLh+iC/ztLPObv//o33XTbHVYeAgANI5YeE516DHfucQcfcPdGlEE0NVq4NmaEoolJkhQOkOT1WHOAwFGoWwco+8IW0oaLHeKzAVadYLLFnbmgAkCtyJGwsMGzQhVTWRmDBio3Y379uTHBaE6YsTKGG2h4XoWmBFe6JEiR3N6ExuoYC4AyBpgxu/qYG4FnAjbN3Y0Yq9gOPZUhPZNr/J0NXMSJmq5J874FcB+doZ6CnbCqqzSez2qfEdw4k1X4Jiv2rgAALVTku+Wvd5EsSfSuM98w7WP5MfzYm2+/08pDAKBhmBd2nBHCHXzAvbQHu8iTvwZY5RlN5uylZtpt7Fu5kLwrZ2f5CZyLMUlmazErQJEPTLoRNQt1jK5qpLy0ndTdIxUzmgGYjTLGj8wY18OqY36rlCk0001zmZuokHHlSrghQdgfWvT6w1oYTNpANZu5FefxGbENFqrkgXPgJl8pnHvtNc4RnSUxbkDW1dxzSzJ1hHpm/ZzAufCeFWceG4zMYm7FTi6+fZaTd8UCyxr+AAAzx9L/wpc2b6X29rBQ600HP6atLSR+BgAnYt5oQKc5YIsD7oqyUh2DTSiXb0TlPe5Fd9xslTGZWOHzLuSHup4ui5THfH1yIVobGnP9OXUzejpD6s4hUnflbMqsbEjAfRBYpTwuZh3DBt2tSO1h8u29nLwL+ixRxozlrRkZzK2AZcrjdIZI1YhkiaQglDFudkpgdAsaPs1zq45gN3lkOAW5HStdXbgozQ1UAIAWK/Jpmk6x8TiNRYubiZPBj+HsPv4ZAJwIlDGgHPMCf6bZMZwZoyu5TjvgXjg3RgpZo+YzWwZBGQOY9mCnJcrj4qY5lDFuhhsRWM2pDo3NWtFZkhkDOylQNreaqTomp4xBZozbkbhoIluj4oulRkiDMgaYCPpCliiP+TYqrLAjbZZdr8C5DZ/aeFI4Z8wG870TVp3AqrkVAKDFi3x7rlwqJiU/vP4P0z72h7/8oyjw7bFiqZWHAEBDSGeTlMwWrROwEQXKrwNe2M1ks1MfT1J2zUukbNyBk+pyCmq+Wdq0QBkDplMez7QpobhpDmWMmxGWUmyBp6i53DOrlDFhZB0D3pAsXgfckDAT5bG4LjVNXKdsiQ7cDc/P9fTscq7MBRwoY4CV6hg5FCDv8gXkXToPJ9bNBHzk6e8i75K5Ip9vNqA5HdRDecxNftn124SbB2IbAGjBIt9bTjtZ/HP/5ua/0sVfu4a2bN854TFbd+yiL1xxDf3mptuFBc9bTz/ZykMAoCGYlTFBb4hCpq494F7MG5JZNU2JzPiMM2PIAxsNtyNC140OTt6cnCFY2IFpOzhnsBGla7qw62Rg0eJuWGlQsJWaRVPCBGVMEJkxIJ95LOXmRDrpM1IeF8aqcBAWsC5HZMmu3UzZtZtm5ZyBPD5QCahjgFXwXqlnfh/Jne2zyjpLZuKUUnLOG0xXCA1UwBrlMTens6sLuw7BXh8Ae5DzarKI1594DD38+DP0p7/fTX/55z3ibd6cXprTl7uR7B4cop27c4MHFwPfcNKx4mcAcBrYNAeV8Hn81BbooHg6mrtOkoPUFojUdLIKQetQxrgetutk207ukuPir1H0q+l60tQyZczsc2hA6yqPa1mg6clUzlOKGxICvjodJXAKbCumjY6TFo2TZ17vrDfNO5EZA8zK43AvDcd3F66T7rb+2q5P3iT1etBABUhi1XF+w1yLxcnT3VHzWeH7JdaCYFrlcT7z2LBHr+raUlWRxyf5Ma8C1mBu5Av52ijgQ3YaKK4Fd45tzl0niUGa17l4hvtWuKYAaMkiH/Olz3yE9lq1nH74yz/QWHScduwaFG9mOiJtdN6730LvfPPrrf71ADQELOzAVB2chSJfYpAWdi2vLY+PN86hjAGFDs5esSk506IvbzAYyhixURrsxrkFkyqPa2lKMFTHchuUMaCoPNZTGdIz2RltUJq7iNGQAMrnVkaRbybKY5Fz21Vb0xVoXeSOMKmpNOnRBNEMinxsa5Y2K2PQQAXKlMeqrhYyj2tpStDG4qRu3S0s+73L5uO8AtISKeGSIJpV8nnttYA8PjDV3KpQ5JuJq0vB0QWxDQC0bJGPOevNr6czTz2JHnj0KXp27Ys0PDImvt7T3Un7rl5FRx5yAAUCyEMAzkRlZUyqaBWEhR0o7+DcNrphRrYHYqKk5zajyF+X4Rk4DHmWm5LmhV1HqIdkGTawwCLlsapxJZqkdnRvAhIqKW5G4OIv2/Z4ejtrOi1QxoBqmxJmojwGwIzEmce7R8RYxdbTbDk8U9VxyN9OAS82OIE1ymOjgUrCXhnIow2MkjaWiwDxzKDIZx6vsG8Fpss8rlZ5zHbX3NgnxisU+QCwDXXbRfb7fXTsKw4VbwC0EtHUiOjMY2TJQ5FgV7MPCdgI8+R5PD1GWTUjNtNrWthBGQMswtyVZ84JAWC2ymNWmcpzu0VjAgCGZaeayhJptV8UUMaAqegMzVx5zBayvBHFuZEzUUGA1kNcB2zfypuUiSRJ7eEZz626kW8FLFQec76VuEaxaQ7MTglj47kGqhrt0BU1S7HUWPHahOoYTKY8zmceV9uUUBirAn6SvGhOB8AuzDzBFQCXYlbGdLIyRsK/ESgS9kdKinpjyerVfPA1BxWvi2SalO2DpA7nijEzVcZ0Y2EHpujgnEnguiTLuXwjAHhR0ddJvn2Wkae/a1ad5mEoY0AZfm9AKI8L41UNG+faaIzUnUOi2AeAuHdJkmhKENfHDK4LxDaAWpXH1SAyuDPZ3DWKIh8w2QuL6yOZFtdILeRy2XPXn1f2UXugNpcF4A7lcaW5+HRopuZ0AIB9wM4MADWChR2YbuPArJiqZeNc7o7k3hBeDMpsXLXBUdJGojNQxuQm4Ix5Eg/AZMrjaqh2wwq4C1H0naGFIlTHYDq6TIop81x8urHK7JIAwISN82iipnsalDFgJsrjmpQxoQBJHtjrgxyskpLCwRk1JZQ0p4d7YXMNJlCyb1WL8pin+x4Z+1YA2AxLdbXnfuwLNf8Mbwb89NuXW3kYANQNZMaAajs4B8a317QRxXi6O4j4DQATbDGm5u1c2f+es6+qYSQxUPgYyhgwlfLYKO6x8rivff60J0vdvIv0dCZn2ZlXQwBgIDbMeazifNkqQQMVqKYpYdvoS7U1UGWUnPJBosImKQAMW3TKvZ1ijlULOYcOKGPA9MrjWjOPoYwBkyF3tJGaSJHORb4aMo9HSqyFEdsArMs89s7vI53tY9H3CUDrFvkeferZqh5nDBoITQdOI5mNU0ZNV+wqBqCSOmY0yZMljSTYuoIZIvl9JAX9IlNIjyVI6q4uhwib5qBa5XGxKWH6Ih/P3YS1sKISyTCEAGXXRypDykvb+UIh797LqtoomKiMwdwKWJN5XLBBDwWF0hQAA7aa9i6sLnvIjNnODMoYMBm8R1Br5rGh5IOjC6jY8Mm20+NJ0jWtqvsZ7z+MmRpikMcHrM48FnP8mRl4AACcUOT74DlvnfL7sfE4/fe5F+jpZ9dSV0eE3nLaSeSBFQFwEOZN8zZ/RHTqAVAOZzVKJIkAY1VTKJYeo45g95QnSthv+LyimDNTuzPQ4h2cqQxpsbiwdK0GLjBXsuIAYFbK43Q2V+CTJLFxDkAJfi/pqkakaSI/phr1FJQxoBraZqA8ZrtrRoZVJ7AIs4oUyhhgpfLYM6dHNCbAWhhMgPcHfF5R4NPTWWHpOh3j6SgpWj7jkSSxPwGAFcpjnucjkx0AeyJbXeSb6u2i899Lv7r2a/STb11GiqrQhk1bpy0MAmAnoIwB1eCRvRQJdpmum6FplTHKll2kvLBFbIoCUI6Ut5PSYgnSNb1mZUy3SQEBwHTK46qUMWFWxqAhAZSNVbJcsL9j5XGtyhi+HtHoAiZXHpfaSlWdcYWsYzCZMn08SeqOQWGHPu31pGul+aGYWwELM4/lrnahLuUMNgDK73/eFQvIt89ykqso8JXvW/G+hNfjw0mdJY888oh4Lfjt8sunjpw69thjxeM2btxY8vVly6pzubBz5rGycYf4G5YtXVrT73n88cfpNa95DXV1dRXOY/n5AfZFURRavXo1HXbYYRO+d/vtt9PnP/95evWrX114ffl/YDqSySRdcskltOeee1IwGKQFCxbQe9/7Xtq2bVtNx8bXkbgmly2b8nGXXXaZeBy/nymnn346zZ07l8bHq8vbbTRN8S05/OCX0ac/ci7ddf/DdNNtdzTjEACYEeUbUQBUtXE+zWSJ7c2IlQ+yXFVnHnAfQg3DWXyqVlAmTK/iK2bGcIceAFMpjxlDeTwVnA3JQBkDpm1KYIV6FZiLNbDqBJbNrVQ1l8cninxQHYMKY5UkkbptgNSB0aqaElgZw/dJ8bNQxoAqlMelinUAZo4UqM3tp7Q5HTboVvCrX/2q8PGvf/1ras251TTN6Zp5L6L66zEWi9Gpp55Kd955Jx188MH07ne/m84++2xqb2+f8XGDxvKjH/2I1q1bV7FAdtZZZ9FXv/pVuuuuu2hsbOq9BINUKkXHH388felLXxIFs9NOO40WL15MP//5z+mggw6iDRs2kB255JJLaPfu3fSNb3yD7EjTwglOPu6VJMsy3Xz7nc06BABqgpUx3IlngCIfsGwjqpDBELRdZxewB3xdsDqGrVqEVWKNqmNcV8Ay5TGUMWAa5I68ki+ZLhRZJr2eoIwBdVIeSx4P+fZZQd49FouPAZhqvGI79FqaPaGMAVYqj9XhaD5vbXq3DuBuWIHMhZbamtNrzx8FpWSzWfrd734nPp43b54odjz88MM1nyYugjz33HOOVR7ribTI3RbUsG316KOP0vbt2+md73wn/etf/6Lrr7+efvGLX1BfH4QTTiCdTgv16ste9jJ63eteN+H7Z5xxBl155ZV099130z//+c+qnvPLX/4yPfTQQ3TkkUeK/6ff//734n/qm9/8Jg0MDAhFnx05+OCD6aSTThLHOTRkvwaephX5AgE/hYIBYdkJgBMw51t5PX7RoQdANZOlZDZO6WyukDeVMgZ2UmAqPAv6ybvXUmHnM+14BdUxqENTgp7J5oo2nLNeRdYacCdsNWZcH9Op+SYqY9BtDqxTHrOlcLXWZsCdSB1tRTt0Y+NyEqCMAXWZW6kaqdt2k7JhG/uh4SSDSVGHxkh5fhNpA6NTniXed+D9h8K1iLnVrPn73/9Og4OD9IpXvII+9KEPTVD2VcvKlStpr732Iqcqj41mz1rZujW3779ixYoZ/TxoLjfeeKNQr7ECsxLXXXcdXXjhhcKiMxKZfp88k8nQ9773PfHxtddeW6Lo/MQnPiGKiffee6+weLUj73znOymRSIhitd1oWpFv18AQjcenn0wDYBdKFnahXihjwJSEfGEKekPF62eSyZLIAykoY7BpDiaHA66rUeTllDHF6w15fMAy5bGuk9zdQXJHOwLXwZRUm8s3QRkjI4sIWKc8BmA6REOCR87Zoeeb7qor8kEZA6xRHgvrO51I8ntJ8iM3DUw1YEmi2W465bF5Hcj7ESF/rpkBzJwbbrihsLnPbwwrj1jhVwuTZfJxphkrl/bee2/q6OigtrY2OuCAA4QFIquoKvHXv/6VTjzxRFq4cCEFAgGRZ/bKV76SvvjFL05aqDzllFOov79fPJ4LblxQGR4erqg85q+ff/754nk5L22fffah73zvezXt4RtZaWzNyfCxGXl855xzjvgaK/qMnDRWdL3tbW8TmWfs/HfrrbcWnosVkPwzbOnIx8+P4cc+++yzFX+3qqp01VVXiaIqHz//3Ec/+lGKRqMVMxPvueeekuMqh7/O3+fHlcPn6rOf/aw4R6FQiDo7O4UV5W233TbpOeFj4Ey6z3zmM7R06VLxN61atYq+/vWvT3qOWTnG2Xf777+/uEb4WuGPL7roItqxY4d4DL9m/Pw//vGPJ31dOFuPz2+1lpg//elPxXPy+bYCVvCxrScXvdmas5w3v/nN4v1f/vIXqje/yF9/U72VW5RyLh+/zj/5yU/IbjRlJZ1Kp+nL3/6R+HiPFbWFdQLQLKCMATNZ3O2MbilcP3M7Fk18UDqbs1/kGwi6zUEViEmfouasOyvAygazMqYj1IPzCqYdq8qVxwFfsUnBnAfiXTwHZxNMi9zZLtQJcl4lMxmYW4GZjFfR1Ejh+lnSs2rCY3RFJWX9NtE85VnYj8Y8MI0dehtpozHSeeO8feK9j4EyBtQKz795Hq6TXlAedwS7J45XsEEHNTRQqXnLRC72TbYWxNzKWrgY8ec//5n8fj+95S1voZ6eHjrqqKPogQceEIWzN7zhDbP+Heeee64o+Oy3335CxcS/85FHHhEFHbb4ZAtEj8l6nNVPXMzhr7G68JhjjhFKQy6EcUHi0ksvLXl+LiRx8Yj/hkMPPZTmz59PTz/9NH37298Wf9tv/vSzkutnZGREFAz5+dielPPSuJD16Su+RC+++GLVfxcrtLjAxz/zn//8RxQuDzzwQPE9fn4za9euFcfW29tLxx13nDgGny/X+MDFPi4wccGTf/6II46gLVu20B/+8AdRCPrb3/5GRx99dMnzcTGWLVbD4TC95jWvIa/XK5RXfBzG81oBFyZf/epXi+PhIi5bOXIGIRey+NpgG0tWuVVSs/FxrVmzRhT84vG4UK/xa8U/z3aWZvi14MezKpJfE/49xu/n38HXJBefzjvvPHF9cAHq/e9//4Tfy7/DOOZqlJVcFL3//vtFAZILylbw3//+t2B9WQnj68888wzVm1WrVhWK0OXw//euXbtK/veM6/qQQw4R54ULpXZSqFpa5PvBL34/5fczmSzt3D1IDzz6JI1Gx3OV4NNfa+UhAFAXypUxCC8GMynyVULLBxdzJ7EkN01cDRwC20kpm3eRFPKTb0XlSZb5WoMyBtSiPE4pOVUx3+/m+io0JQBQJVLQT94F0+dsYCMKzGRutXn4hQnXT7kyRk9zpoyOAh+oKpePi3xaNEGe+ZUfM5IsXmtQxoBqYGU6z8OLTQlDFYt8GmIbQJVwUY+bgjnzmNeEnp6OyuOVxbEN3GCqaLUp1uyAV/ZZMgdgq8JUKiUKXVzgMwpIXORjy04rinw/+tGPRAGH1UEGXOh5xzveIdRgv/71r0usEr/xjW+Iv40LSVxsML9WXMQx88c//lEU+LiAeMstt4iihvFYLghy1toVl36Lzvvi2wvrwM9e8VlRVDr55JPppptuEoUy3rd68Jbb6eT3Vy6IVIIz91gpxW9cXOMiVLkqyoALcly4vPrqq0uKKqx84/PNhTk+F1ycMhdhTj31VPF9LiRyEdNQWfLzLVmyRJwPLr4xbDl5wgknWGYDyWpBVp1xgY9fk09+8pNCIcfw8fBrykU7Po98/s08+OCDojj70ksvCUUe89hjj4kCJhdf+ecMG0tFUeiNb3yjKPB97GMfKxRsDVjNyGpFhpV9RhH6qaeeKhRVDQz12fve976q/kZ+Hv47uQBrFYZ966JFlfcbjK9v2rSJ6s0rX/nKCQVn5uabb6Zf/vKXQmX5gQ98YML3DzvsMFHk4+urpYt81VmJ6STLEr3/XWfSKSeWVtsBsCMTMmOCUMaA6TEXg8dSI6RpKsmyZ4LaYbIuPADKYSsfUlXR9aurKkllXUUMNs1BPZTHrMriTD4u3lixYAagXBkDa2FQ7Vg1nfIYyhhQCxLbC/NtjedX7JTgxdwKNEZ5rGtazq6T14SIbQBVwA4JajJNOmceVyjy8Z6Vcc0Z1+Bs4QLfv56/xXGvz/F7vbEka26mGNl7hk0nw4o+tn5kFRmr7tiecTZwAbEczjbjYg8Xtv70pz+VFPkGBgaoq6urpMDHGDaQZr7yla+I97/97W8LBT7jsVxwYyXfn2+9jd7+sddTR3eE4uPjorjBxSrOTeMCn3i8R6bDjz2aPvie99KV115DVsM2oly8KldNcdGPVW7XXHNNSYGP4eLZBz/4Qfrud78rLE+5EMZ8//vfF+/57zMKfMycOXOE6u21r7VGbMSvP6vSzjjjDPrUpz5V8j0+19/85jfpTW96kyisfec73yn5Pp9fLu4aBT6GX08+Nn7NueBnvJZccGKl47777issSMvPEX/dDBeluDjHv5dVfQasjuSiLZ9rLrhWg6GmY4tPq+DXkzGurXLYitQodNfCpk2bLNmnYJUr/7/x8fH/B5+vcoxsTS6k2glLd5ZffsA+hTD0SvCF2BFpo9WrltFJx72Cli5aYOWvB6BuTFDGeOCXD6YnEuwmWfKQpqtCDcoT7vKJtshZy2cXATAdbJfIb6xQ4KwrqWtisLE5owib5sAq5bE+niBl006hOvatgsoPUFVNffp4UhRc5Lk9ExZdJcoYVpP6cC8E1iiPi8oYZB2D6eGGKd8eS4gCk6s+0EAF6qE8ZkUW5x2LwjLy+EA14xXboO8aJo3nV5o2wQkomhwp5D96JE9Jji2onc2bN9N9990nCmpmxR5bSr7uda8TxTdWyv3f//3frE/vCy+8IHL2WAHGRRCNmwDy2Wz8PTMvf/nL6d///rew+eRcvfIijwEr17hgsccee0xQkjF8z2O7Ty5UbH1hN+1zWIReWPOSsA5lpRJnppXENizsp7Ped25dinxcwKtU9GGrUoaLZZV41ateJYp8bG/KRT7OSWSFI/PWt751wuO5MNjd3S0KXrOlmmNj+NjKYYVYpcLZnnvuKd4bGXvMnXfeKd7zdVZe4KvEmWeeSR//+MeFApSLmsZ55WxJVqWyYtKsBJwKvoYYPmd2p62trZDnVwm+zvn/Ybq/l9WhiURCFETZPrcShqqXC+4tW+T7+XdKPWMBaBVKF3ZFdRYAUyFLMnWGemgkMVC4jqzopgPuhm2l1IGMsJWSy4p8qTJlDK43YJXymDcTGGSHgqphe6dNO4g0nSRWrZflzpbMrUK4NwJrlMdCdZw0lDGV89UAKIdV6pORU8aMllx/AFQ1VoV6p1Qe6yarTrgkgGoQjho+r8jk4yYqKdI2qVVnZ7hX7EeAmcNFEi60ceEgECidx7Kyj4t8XDiZTZGPn58z21i1ZxT1yilXNLE6i5VYP/vZz8Tb3LlzhfUjF5v4WI1CEFtdGkXC6caYbCJXHB7aPVIoQlXCrIyzErbWrITxN0yXB8eZhMzQ0JDIu2P11WRKMf7brCjyGcd21llnibfpjs3MZFaVrOBkOH/QgO1AGXPRdSrYupNz5r71rW+JIrSROffTn/5UvK/lemWlqvm4rMBQ6nEhbSqlX62/sy9vDzsZrOycqsjH1w3/D3Fx/0tf+lJBGVoJQ4E5OlqcH9oBeMQBUAUjJXl8E6W6AEwGbwQYRb6RxBCZp0RaLE5aLClsN+R2bESB6hCLuYFRcf3wQsA8YTdvmkMZA6xUHhsbUdg0B9XC3eVye5i0aDxnKzVVkQ8NVMAi5bGwvtPz2UVQxoAaMTZYzXMrKGPATOG5eMAbovQkymO5r4skXgPCBh1UCY9Nck9HzlrYN9FdajRpfQMVZ9ux9aXT4OO2yqrznnvumZDbxQUBhpV+bBM4WVFsOjg/josxixcvFoW+I488UhSoOIOOfwcXF8uLf6wuWrNmjcikY/UfH98f/vAH8cY/z5+zUovVgMy8efPopJNOmvI49ly5N5uzVvyeKCqnsySFS+fyVmJkypVj/A1GoWoyDj/88LocV/lxVPoaqwO50DpV8akcI7uvXpx33nniemLLTj53rCZk682jjz66JutNw4q2VuvMqTAKnEY2XznG12f6PzVT2PqVsyPZjvfiiy+uqvjJKl87YXkmXzgUpLPfOtFPuBK/vvE2io7H6YPnTJTQAmAXMmqakpnxih15AEyHeeOSJ93moow2FidtOCpyQFDkA9Ui7Mc8MreWi81M7v41X2PFsQqd5sAa5THnP+qpXDch7O9ALQg76ig3tCTIM7eYZ6xqKpQxoC7KY+TxgZmisgXe0Bh5FvYL9XElZUxHCMoYUD285uO51K5JlMeSLAkbdABqwTyfMsP7DObYBqsaqPg6tiLbzmk8/vjj9Nxzz4mP2UKT3yY776z4+9znPjej33PLLbm8wx/84Ad0yimnlHxvw4YNUxbFWM1nZKs9++yz9I53vIMefPBBodj60Ic+VCimTKdwYpKZON33wm3U058rWmzc+FLhe9ywp24bIKk9TJvGJ6rS6gn/DevXrxf5dmyTOh38GC5wso0i246GQhOb6VmpVY5hXzk+Xtz7NWOo6cqPzVDGcS5fveACMMPnoVrY9vO4446jf/3rX+I65mIf8/73v7+m3805hszw8DBZxf777y/eP/HEExW/b3x9MqvMenD11VcLVSxb4U73v8IYStBKeX3NRLa6yHf97/9U9eN/9ce/0A+v/4OVhwCA5cTSRRk3d+IhMwbUgrnQklFSJVaKxkYUlDGg5g7OvDWLUMeYQGYMmA1m5Z55U7NgJ8V5RT6YQIDqYaW6uIYSKdEFbBDPjCEzBsxaeSyuLV0Thb4CnHXMYxXy+ECNCKtXRRWbmWbMDVTIOgazaviskMsHgFWklARl1aLFH6yFZwfbcDJspSlypiu8sWLO/NiZYBQLKtk3sjKvWjiX78Mf/rD4+H//+1/hOffaay+h+lu3bl1VyuM99l1BgaCfnnjiyUKRsbhvFaTf/e531EhOPPHEkmLodLAC0lD1VTp/nKNXqWA1f/588b7SeeLHVypI1Xpss8krZK677rqKisLJ+MAHPiDes1KUXzfO1au1GHnAAQeI92vXriWrOOKII4RCkIuWnJNXzo033ijem3Mw68k///lP8X/Oitdbb721YmG4HKMB4MADDyQ7AYNmAKYhli7NYIBfPqgFvzdAbf7IhMWdruQsDxh0cIJakbvbyTOnmyRTJl+5MqYb9negRsybAWwpZVjDFIp8YdgKg9oQlol5m05W8xnEMsWiDDJjwEyVx5U2zj393eRbvVTYmQFQ03XVES6MVYX7X52UMcA9mAvDhvKY0UZipGzdTdp45UwiAKZC13SRl22+fszN6W2BDleq76xCVVX67W9/Kz5++9vfPunjXvWqV4msON7wZ+XfTGDFFfPjH/+4xJbz/vvvpyuvvHLC4znH7Lvf/e6ELDAu/rB9p1n5xXzhC18Q3+PiTqWCCmfYscqL9zl5vAqFg3T8G14lzsFHPvIR8fuMteDja9fQ9773PWokn/zkJ0XRhYswN99884Tvc3YdF4XM1o9su8hceumlJao9zsb71Kc+VfH3LF++XOQC/ve//xVZi+Z8OFa/RaPRCT/D53SfffYRSk7OcDPn6DH8erL9I7/NBs6J4+uEi7cXXXQRZbO5fUQDVnFWUn2yypMLV6zsZIXiu971rkltUSfjqKOOEhmPjz76KFkFqybPP/988TEXpo0MPqMgybainDHJqrp6s27dOnrrW99KXq9XFGsny0osh+1PGT5OO9HUIt9YbJwCyEoANse8EYWFHZj1xrlR5DM2zTk825vrRgegWljJ55nXS7Ip46pcGdMetJc/OLA/Zjtqs/JYy3dvQhkDZqXmMxf5zA1UsBYGFs2tzKApD9SKaGRhO3RFzWU7VlDGdCK2AcxSecyZx4w2Ni5iG/RE6aYwANWgjURJ2bCN1J3DlfetMLeatbJn165dorBy8MEHT/o4zlXjAoE5v69WLrjgAmpra6Pvf//7tN9++4miIuemcfHAUGKZ4Zy+j370o8JGkfP3+PFcbFq2bJkoUvB7syUjW3iylSgXiLhowm+cOXbmmWeKv42z5IzClzG3eu/H3k5LVywWeX+rVq2isz5+Pp3ywffQK044jt797ndTI+HfzwVXLmzx37nHHnvQqaeeWjhPbM/JfwsX8Az4e/w1zkrkItxpp51W+Fku5rCSrBJcFGT4sccff7z4PStXrhRFJ36Ocvi5WPnFBcJLLrlEFAlZ3XfWWWeJDEQusHGW42wLZPx7brrpJvF8bFvKWXV8jFz8Y+tLvm74GCupGt/73vcWPq/VqpOJRCKimM12tZNl6HGBk88pv7F1KcPKR+Nr/LZjx46Sn+HMO1ZcPvDAA+J14f8jfhwXddkCk60zG8HXv/51UTDnwvgPf/hDOueccya88Wtshgumjz32mFDJrlixguxE04p8/7j7PxRPJGneHGQGAftZtSgbd1DqnidIuvdp2uMphQ5Y2057b2ij7iFZfB+AmefyDZVtmkMZA6wZq9ruf6EwVi2Od5GEoQpYpDzmgjLnfyA7FMw0l487zpXtA4XxavkTycJ41TviwdwKzHpuJayz2CXB1AUPQE1jFeejtQVJG41R+t9Pi7EqcO+zhbFq4XgH+SQfTiqYtfKYxynNaPhsx1oQ1I6cn1upPLe6+3ExXi1+LFoYr+aM+jG3mgVGwW4qFZ+B8RguRClK0Zq+WriQyAUDtibkQtWf//xnUUT40Y9+VFHJ197eTtdee614POfO8eM5d42tGL/4xS8KRWF5dt1XvvIVuvfee0VhaOfOnaJocffddwu1Hqve+DnMc6tIZztd9avLRJFR1zT689130JZdO+mKK66ga665hhoNF9i4iMU5g9zEdccdd9Dtt99Ou3fvFueBbTm5mGfmN7/5jSjgsNKSFY4PPfSQKHjyuQoEio3SZrgg9vOf/5z23ntvob5jtRY/P+ccdnVVbqDmAtWTTz5JX/7yl4UKjH8PKw5ZIXbQQQeJ1+qd73znrM8BF/KefvppoWjkwhsXYPlv4fPx6U9/etLCJRcrGS4Is6XrTHjf+94n3hvq1nLYdvPhhx8Wb6wqZGKxWOFr/FaucmRFIV+DrDQNh8PimuSiLBfVuEDYqOKZqubU9VzEvP766yu+lStguZieSqUK58VOSPosVkI33PgXuuHG2wufb9+5mzyyTHOnKtzpOkXH46LAx7zrzDfQhR86Z6aHAGbA6WdfIN7fev13cf7Ml2YqTdnnN1N2/VaiVGbSc8PKK+/KReTbawlJwco3BwDMjKfG6D/rc9YJRBKdsNcbSd+wk/RkmrxL5pJsslwEoOqx6sWtRGmMVcBa/rftEdo2mgtaX9y9kvZZcAhOMZjVeJV5fhMpYrwqtZYxg7kVqJWMkqa71xY7a1+1xynk3xYVG+fexXNI7mzHSQW1z61e2EKUwVgFrGXdrmfopcFcfs+cyCI6cM6hlF23mSuA5NtnhSgwA1DzeLV2k1AeTwbmVqBWNF2ju567mTQ9d10dvvwEah/ShHKU7dA981vDsvrYY48VRc+XXnpJKB9bmfPOO09YwXLxkgtoM4ELdKweZPVoJcVgLXDxj+FCpVM56aST6N///rewgi0vqDcb72x+ODaeEIU9M6qmTfjaZBx+8MvoA2e/ZTaHAIAlsCc+d5cb1ixToacylH12AykvbafgsQeT3O3cwQk0BvbE98o+UjTeNNBpLDFIHfkJOZR8oBYwVoF6wx2cRpHPUB4DMBMwXoF6K4/D/gglMrnNgtH4APXFdQ6lIUIcBKgBjFWgscrjQVLzOWqcy44CH6gFjFegEcrjkcRAQXncFs+pjRHb4DxYGceq1L6+voKt7Exg5SPbkXJ+3m233Uavf/3rya088cQTws6XFYh2K/DNush3/CsPowXz+sXHrAe85Ovfo/a2MH36I0XP10qDRltbiPZYvoQWL5xPdiOVTtNPb7iJ/v6vf9OO3YPUGWmnVxx2EJ1/7jtobn9vzZmDP/j57+hf/36EBodHqK+nm0541eH0wXPeRh2RXD5JJanor2+6nW756120ZdtOCoeCdOhB+9GH3/M2WrGsGJ4KrJ0oJe94hChbm7SeC4L8c6ETD0OhD0wJS+jZ33xwPOdDPZIcpp699uE2dJJ8sxqGgYvAWAUagTnDI5Yao8zuIfIGAiS1h0nirCIAqgDjFWjUxrlR5IuNDlCf1sMBOUK9AEA1YKwCjZ5bceZxOjpKbPwqI7YB1ADGK9AIeN/KKPKNJIZoyZKXkx5PoTndQbDNKyvu2NY0mUzS1772NQqFZmcNzXl+3/nOd4QlrJuLfJdffrlQNF500UVkR2a1u7x61XLxZsBFvmDAT6ednPN8dRrpdIbO/dgl9MyaddTf203HveIwoUq89W//ovsefIxu+MHXafGCeVU918holN75oc/Q5m07aNGCuXT8Kw+n9Rs30w033kb/fvgJuuH7V1BnR6kCTNM0+uSlV9Jd9z9MkfY2OvrIl9PIWJTuuPdBuv+hx+m6qy+n/ffes05/vXutDljBV2uBr0BWET8feu0RsO4E025EGUU+7uDkwh8FkOsBMFYBGyuPdZ0SW7ZS2NdGvj2XEHmwcQ6mB3Mr0MiN8+2jG8XHybERIrmH5LZgbo4FwDRgrAJNUR7rRMnRYfJ5O6CMAVWD8Qo0S3kshQIkh4N4ARwE5xWyHemCBQvo0ksvpQsuyEV2zQav10tr164lt3PrrcWoADtiqYTkmXtuJifzo1/9URT4Dth3Nf34qkspHM5Vuq///Z/oqu//QhQxf/6dL1f1XF//3nWiwPfqo4+gKy+9kLxej/j6177zU/rNzbfTN679OX3ls6X/aKze4wLf0kXz6RfXfJX6enLBnlzk+8Ql36DPfOlq+tMvryk8F5g97GVejUXnVPDPZ9duJv8Be+AlAVV1cI7Fh0TgOjahQLVgrALNUB77sxKlMnEKBzvQlACqBuMVaBTd4eLciu3vtHaVPFDGgCrBWAWaoTyWucinJKjD1ynsOgGoBoxXoFnK42Q2TmF/a+Uc33PPPdTKtPrfByYHvkt5stks/e6Wv4qPP/+x9xcKfMzZbz2N9ly5jB576ll6du16mo6BoWH6213/Jp/PS5//+HklRblPfvBs6unqoNvvuJeGRkZLfu6Xf/izeP/xD5xdKPAxJx5zJB37ikNF0fDu/zwy7e8H1aGrGmXXb7XkdCkvbhXPB8BksLc5kUSSTjRnl0zj6zfgmgFVgbEKNKuDM5iRKZVNQBkDqgbjFWiG8piVMYGsRGklCWUMqAqMVaBZG+eaTLSlN06+vZeRJGM7DkwPxivQDOUx0xnzUnQH9joBcAqYVeR58r/PU2w8QYsXzqO991wx4URxoY2594FHpz2p/374SWG9efDL9ikp1jF+v4+OOepQUlWN7n/oicLXt+7YRRs2bRV2p2zTWc5rjjlKvL+nit8PqkPdsosolbHkdOmpTO75AJgEr8dHkWAn+TMyeVWJUsJWCnZSAGMVsO9GVCArUzqbJEKnOagSzK1A45XHvWJe5VElSnKRLwRlDJgejFWgmcpjzjxWJTQIg+rAeAUaDc+tZI2oc9xL6tbdRDrGKwCcwIztOg847gzxfvmShXTr9d8t+VotcGTCU/+6iZrN2vW5PIe995hY4GP2yRf+1uUfNxXGY/aZ5Lm4iMjWnObnWvti7uNVy5eQzzvxZTEKjy+s31TFXwOqQdmYy0ez8vm8y+bj5INJYQu8scGY+DgmJ6kfmTGgyrHFSjBWgaqUx7pEgYxMmq5R0pel0hRhACYfX6wE4xWopilhZGwnjUayRIEkzUMDFahybLESjFWg6sxjNUts7TKWHKbe9rk4caCq8cVKMF6BquZWmc3i43FKklRhjxoAYD9m/J/KeVLm9+UfV489lCw7dg2I93P7iyGjZoyvb88/zornMh7H7Kz69++majn97Mrhmmz7uWj+XIrFcsUGtyKNJyy9+pR4wvXnFExNUGqjdCYnoB7Sx6jf5f+DoDowVoFm0ClFSNYypMk67UzuJvIWbcwBmAyMV6DRBKQwqR6iaLtKcWmEFkajyDwG04KxCjSDDk8nhXfEKO3TaFfHVvLrYbwQYFowXoFG49dDotmTiUrjNDo2Qh4ZhT4wexKJBE7jNEQiM2+vnvF/6XVXXy7ehwKBCV9zIolkSrwPBot/j5lQMGf9kkgkLXuuuOm5qv+Z3OOABVidoadAwg6mJuLvomR+shSTE5RV0+TzVP6fB6AAxirQBLr0COk0JDai0plRmkdL8TqA6cF4BRpMu78YjaDqCiWy49SWz5IBYFIwVoEmza0UbZw8mkSxzBheA1AdGK9Agwn52imUzZULUn6NYplR6goWLYcBAPZkxkW+Qw/cr6qvgeZh2KhOpvCbTXW4FUj6faTR9EXbavH4fRRy+TkFUxOOe2lE8lFGylLWq5Mip6kngskSmBqMVaAZdCxcRGvU7STrRL7smOvnDKA6MF6BRqMrCvVpXTSsj5LmIcpKSYpEFuCFAFOCsQo0A8XbTTtpB6X9Go1nRqm9vR3KYzAtGK9Ao9FVjTqkdkrSuBivMnoCa0FgKW6vR9SLnKQEUDgf0p5KpSuejWQqp6ALh0OWPVeb6bmq/xmEyVuFFArY+vlACxJPUdAXEhMl9oodTQ42+4iAA8BYBZpBd1s/qV6dsj6dEplxyihwEgDTg/EKNBotlqB50RD1j/rF55hbgWrAWAWaQdikjFG0LMXTUbwQYFowXoFGoydSFPKGSPHowhIdcysAnAGKfHnmz+0X73cNDFU8UcbXF+QfZ8VzGY9j5lX9++dM+/tBdXiXzbf184EWxOchf6RDLOyY0UTl/3cAzGCsAs0g6AtTwFtsLMJ4BaoB4xVoNLpooArnGqjEWIUGKjA9GKtAo9EVlaSMSn5vUFihMyMYr0AVYLwCjUZPZcrmVkOk6zpeCABsDop8eVavXCbeP/fChoonas263Nf3zD9uKozHrJnkuZ6r8FyrV+U+fvGlzZRVlEl/Zo+VyMSxCs/iuUTBXNfvbJGC/tzzATDVNdfdQcE9l9F4myo+H0sOk6blPgYAYxWwC9pojNRNO2mO3lP4Gjo4QTVgbgUajR5Pio2oVH7THMpjUA0Yq0AzlDGMP9wmrIUZzK1ANWC8Ao3G099F4f33otH23N40lMcAtHgm3wHHnWHJAUgS0VP/uomazUH770WR9jBt2baTnn/hJdprj+Ul37/j3gfF+2OOOnTa53rl4QeRLMv0xDNraGhklHq7i4HwmUyW7n3gUfJ4ZHrVEQcXvr5o/lxasXQRbdi0le578HE64VWHlzznP+99QLw/torfD6pD8sjkW7mIss9WLsbWgnfVIvF8AExHR7CbZEkmTddI01WKpkapK9yLEwcwVgFb2d9p0Th1BiK0Jf81KPlANWBuBRqJnlVIT2fJ5/HnGve0VGG8mtOxEC8GmBSMVaDRaPGkeB/o7CJStomPMbcCbhuvOOtN3bKLlI07SE+mcwpXr0dYkrJikQua2FezB75AkMLtnRRLjRaUx+3BzmYfFgBgCmY8urNU15o3sgU+n4/e9sbXiY+/cvWPKZEsZs9c//s/0br1G+mQA/elfVevLHz9Nzf/ld7wrvPp6h//quS5+nt76LUnvJKyWYW+8u0fk6IUlTrf+uH1NDwapVNOPKak+Me8+y2nivff/uH1ojhocOd9D9I9/3mUliycT8e94rA6/PXuxbfXEpJmmXPIP+9bvcSyYwKtiZ7JikmtLHuoIwR1DKgNjFWg0coYpq27aCsO5TGoFoxXoNHKGCkYoM72vsLXoY4B1YCxCjQSdv6RI2Fq6ynGryQyMcooabwQoOXHKz2VpsxTL1Di1nsp/Z9nSN02QNpwlPRoXLznz/nryVvvFY/jx9uFu+++m8444wxauHAh+f1+6u7uptWrV9OZZ55J3/ve92hsbIxala6QO+ZWGzduJEmS6Nhjj232oQDQHCXfdVdfTq3Gee86kx5+/Bl66n/P0+vP+hAd/LJ9aMeuAXpmzTrq6eqgyz99fsnjR8eitHHzNhoYGpnwXJ8+/1zxc6wAPPXd59O+q1cJK05+W7poPl304fdM+Jk3vu4Euv+hx+mu+x+mU9/1ETr84P1pdCxGjz39LAUDfvraxR8jrzfv7QAsgTcFgsceTMk7HiHKTrRJnRafl4LHHSyeB4CpUHcMkTY2Tp6F/WKyZGTGiA5OCPkAxipgp4aEjEIkEUW655A8COUxqA3MrUCj0MZzDQlSW5C6An20K7pVfA51DKgGjFWg0bEN1N1BHl0n/3CQMkpeeZwcpDkRKI9B645X2kiMUvc8UWjMmS4LjhWLykvbxd8rd0eomVx++eV06aWXio/33ntvOvzww4VAZO3atXTzzTfTjTfeSIcccggdccQR1CqoA6OkxeLk6e0UjlNbRl4UX8fcCoAWLvIdeuB+1GoEAn5RvPzpDTfRX++6n/7174epMxKh004+ns4/9+00b06xi2E6urs66Lc//AZ9/+e/F89z1/0PCeXeWWecQh96z9upI9I24WfY4vObX/wU3XDjbXTr3+4Stp2hUIBeffQR9OH3vp1WLlts8V8MxHnvjlDoxMOqnniYO6F4oiR3NXfiAeyPUC3nlTFSwE9dvl6iodz3uNjH3+fOIQCmAmMVaAR6PK+MCQXI4/MJ5XGhKSE5CHthUBUYr0Ajxyu5LURd/t4JymN2TwBgKjBWgUbDaz5u+NwdKzYloMgHWnW84gLfTAqT/Pfxz/Hf26xC3+OPP06XXXaZKOr94Q9/oNNPP73k+zt37qQbbriBurpKHdqcjj6eIH08SXpHG3V19E1QHvu9EDgAYFcknXeXgas4/ewLxPtbr/9usw/FVrAlQHbtZlJe3Co6iKay2mAvc7Y6gIIPVHVtpTPi2uIQUt++yymjZeietX8qfP/oPV5PIf/Ewj8AU41VibUbyJed4hwF/eTDWAVqRNm6W9jmyP1d5J3fR2t3Pk0bh54X35vbsZgOXHwUzimoabyK/e95UtdvJ78yeUoA5lZgpspjzrmSI22ky0R3PX+zyDxmDl/+ajQlgJrnVsm1L5E3O8X2SMBHvj0WYx0IahureG/BI5Pky/XYbxx8ntbuelp83B3up8OWH48zCmoarxJrXqTMC5ttPbfi40z+7aGaCpKVCpSh1x7RlOP//Oc/T1/96lfprLPOEsU8N8DlgeyzLxFpGnn3WCyuoXvW/bmgPD5oyStbsimB7TqXL19OxxxzDN1zzz3NPpyWJhaLifeRCMQy9aB5iasA2AyeOPgP2INCpx9DgVe8TNgq6l1tpLeHRPcQv3lWLhTf58ehwAeqRTOUMeEgSbJMAW+QQv72wvdHk3lZHwBVjlXe/VfQo/tE6fmlcRrqyJLSEcyNVT0dYuziMSyMsQrMAEN1zMoYhm1aCmNVXnkMQC3j1fCyQGG8inZLhbmV1NVOUiRMnqXzKHja0ZhbgZqR/D5hgSd5Pcg8BrMeq3wvW0VP7p8szK2yHYHC3EqsAxfPFfMrrANBrSjbBij73EahamK6wn2lyuN8cwIA1Y5XYyvaCnOrsS69ZN9K6giTZ8lcCr7hVU0dr7LPb55VgY/hnxfN0k1gYGBAvO/vL2aUV8NTTz1FF110Eb385S8XPxsIBGjFihX0oQ99iLZv3z5lHlw8HqdPfOITtHjxYgqFQnTwwQfTX/7yl8Jj//jHPwrL0La2Npo7dy5dcMEFlEzm1m7lJBIJ+trXvkYHHXQQtbe3ize2Fb3++usnPXY9mRYFPtGUEPQXlMeP3Pckffb/vkL773mQ+HsWLFhAr3zlK+mLX/xiyc+Pjo7SNddcQyeddBItXbpUPLa3t5dOPvlkuuOOOyr+Tv67+ffwefj9739Phx56KIXDYZGByOcxk8kJMNavX09vf/vbac6cOeL7xx13HD3zzDMTno/Vl/x8v/jFL+jhhx8Wx8Jqy46ODjrxxBPpoYceolrh5+EMxvnz54tcxkWLFtH//d//0ebNE69NXiv/+te/FueHX6NgMChez1e/+tV07bXX1vy7AaiFGdt1TgVf1Hfe9xD97a77ac3a9TQ8mgsi7enqpH1Wr6TXnvAqOuFVhwt7SgDshuSRybtsvngzugyC4TBl17xExHubikLk8Tf7MIEjN82LYdndoV5KZsYLG+fzO5sTgg2cSTQ1Qpqk0WC3RsM9Gh226FWkSzKF0BEFZoHOizrO/s0ooimhfCMqrSQplU1AeQxqYiQxJFRWg91Ziuwxj9rDy8XXQ+3tubmVqhFlsrlrD4BZgMxjMBuS2TiltRSlu3Pj1aELjyTd4xdzK3VojNRtAwWLWABqmVsZhQ62Qmc6gt0kSTLpukaarlI0OQLlMagJ0XiXn1sFlvdQpGNv8XUer7JrN5GezhIlU0SmxuJGoqsaZdfnLGlnCztt+fZbKfbpGgkXZpibbrqJPvvZz4riUjVcccUV4mde9rKXiUKPUfj7wQ9+QLfeeis99thjokhWDhezTjjhBHrppZfo6KOPpsHBQbrvvvvojW98I/3973+n//73v6LoxWozLlzx97igNjQ0JIpKZnbv3i0KWlwEmzdvnvgZ3qd/4IEH6JxzzhHHwD87qQ06N6fn42T+8tu/06Wf+TrJHpkOePl+dMJxrxbH9txzz4mCmpFZyHABjQuPy5Yto9WrV9ORRx4pCmH//Oc/xdtPf/pTeu9731vxvH3nO9+h733ve6Lox0XB+++/n6688kratWsXXXzxxXTUUUdRX18fHX/88bRmzRqhuONCH3/MxbRy+G8977zzaNWqVfTa176WXnzxRbrzzjvFeePC6Wte85qqXs/vf//79JGPfER8zAXIV73qVSKT8brrrqM///nPdO+994q8RgN+ja666ipR4OTXkY+ZrV35teBj+PCHP0xuQtUUemjDHdQZ6hX3uYinl2QJaz7HFPl27BqgCy+7iv73fC6c09zxvX3XAO3YPUh33f8w7bPnCpE/t2BedQMlAM1E8nhIagsJb2otliBPAEU+MIOMK1ORjzfOt49tEh8beVcAVIv5mukM9ZAslS56dFUlPZYgqaNNqEcBqAa+VnwrF4kNKeO6MZTHhaaE5CCKfKBqeB3A14yBWRnKmwfexXNJCvhEXi0AtaDuGBSFYaFa8HqL1xcyj4EFc6uwP0I+U1On3NGWK/IlUqQrSuGaA2A6hDKG98S4kSXgy11Psoc6g90FNxe+9sz3RwCmHa9MTkDl147EFtbpUdKicZI7m1PkU7fsIpoiAqdWu1t+Pm7CbyRs08lKuC1btohC0Zve9CZRtGOFHhfwPJ7KhQouLHHBylx40jSNvvzlL4uCGBesfvazn034uQcffFAUsDZs2CCUegyr0d7znvfQBz/4QVHM48cccsgh4nusCmSV3m9+8xv60pe+JNSCBvwzXFT66Ec/Sl//+tdFwYnhgtnrX/96UUw75ZRTRDGtUnM6730a/OTaX4g5+9W//hLttf+edMJebxRjGM/xucBlhgt7fIysGDTz5JNPir/t4x//OL3lLW8RqsJyuABo/vu4MHbggQfSr371K3r00UeFco7tU/lY+HefffbZ4ntchCtXFIrj/slPhOUqnxujYMmFVlZUcqGTlYGslpwKo2jJCr4//elP4rU34CIfHxOfa0MdmEqlRPGUrSiffvppYQFqoCiK+PvcBqvVx9NR8bYzuoUOW/jqZh9SS2Ppzl9sPE7vueBiUeDjf7oD9t2T3v+uN9PFnzhPvPHHB+67Wnzv2bXr6b0fu0T8DABOgBd3DE+WAKglL4bfGClcnESY1TGx1Cgp6lThagBMVMZUupbENafrpLywlZTNu0RjAgC1Ul4YZuWxAZoSQK3KGCPHQ4xXob4JcysU+ECtcCOCOjhK6o4hIq3YUFpJeQxAtZjvbxM2zX3eggpLi+K6AjWMV4Yypi1U2GguH68Q3QBqgfcNYqmxKedWxljVLJt9ZeMOWz9fNXDRjBVfrOhjhy+2uXzf+94nLDRZncXFoh07Jh4Xq8vKlWXsYnfJJZcIC0pWf1WCH8NFKKPAx7z73e8Wv8tQgBkFMIbVgFyIZFidZsCqwb/+9a9Cdfatb32rUOBj+Lh+/OMfi4/5d5nha6UQM9Ne3LcaGhyi9kiY9txvZU55nBrNPSZvMWqGi1rlBT6Gi5F8/NFolO6+++6Kf//HPvaxkr+PFYjveMc7xHGl02m6/PLLC2Mov7/wwgvFx+WFRgO2CzWsOw24WMp2p/y6sdqyGlWmqqr0wx/+sKTAx5x77rl06qmnCitPLmIy/Pfxsa5cubKkwMd4vV6hAnR3c3qvULGD+mFpC9pPfnWjUOt1drTTlZdeSEe8/GUVH/fIE/+lT152pVD9/eSGm+gTH3i3lYcBQF2QI2FS890trJJhdR8A0184sshIo6xSYjHRHuggr+wjRcuSTrrocOltn2gzAEAtyhiGJ7I8MdeHs0J5bCz0AKjGWqeSFY5ZeTwC5TGYhTLG7w1Qmqzp7AbuRVjf6bnCC/FbHlYeh/3tlMgrj3m8CvlxDwQzUMaUbZozPJ/i5DQ4JICaxquCMqbo6FIo8g2tLck8Nm9GAzAZY2KsyhXveD+hLdBB49ncfU9ca2y5z/N5dnZJpEpUWQ1VsNr4+aqF7TO5wHb77bcLu8lHHnlEKOQ4e46LZFwo4gIbK9jMsOqOi3n/+9//xGO5UMRks1nxveHhYerp6Sn5Gba43HPPPScU/rhYxfaYlewlDfWeudjIx8mcfvrpFSOyjIw+/ltKUDWSwwFxrs05jlzc+ve//03f+sIP6U1nn0Kr506tPOa/9a677hJ2mXxcXPRiXnjhhZL35Uz193Ex0efzTfu3mznjjDNEYa0czvXjwhzbgb7zne+c9O9g9SX/HZz/x/aoleCiHb/OfC75vLKlK+f1caH1M5/5DL3//e8vUVi6kdGS5nQo1h1V5GMbTp6YfOETH5i0wMccdvD+4jFs63nnfQ+iyAccAXeas6UU+5vrsSRJXc2xPgDOQvJ6yNPbOfHrkiw6WYbiO8XnXLRBkQ/MVBmTTmYmbkQNR0mPxklf0IdNAzAt3LzC+Wi8qPOuWFhS7CtVHo+JDmKvp3ShBcBMF3bskMDjFdsLe3o6cCJBTTbo5ZvifE80inw8t1rQtRRnFNSsjOkO95FeZrIhz+kmz9zSTVkAphyrzMqYskILMo+BVY4u5fdBSZZEg7o2Oi7iG6gZRT5FtfXz1YLf7xe5ePzGcNHud7/7HX3uc58T2Xfnn38+3XHHHYXH//a3vxXFnfHxYuG1HFYGlhf5WOVXCcPastL3je8ZhTRm48aN4j1bVfLbZLC1ZPm+lXf5ggkNB9deey2d8obX0T9vuUe89fZ/TeTysX3pm9/85hLb0q1btwo7ULaqnOpvr8RUf1+1f7sZLo5Wgoupht3pVHBh1XgN+RqY7rEGrPh829veJmxS+Y2PgzMR+WucDejq5vQKDVTAxkW+XQND5PN66dVHT5TnlnPCqw4nv89HuweGrTwEAOoKb0DpA6OkxeIko8gHZglPygtFPqhjgIXKGGGxIUukZ5VcHkLeYgqAKTfNuSm4gpqvPdBZUB7zg6A8BlWPV1Us7PR0RhT6JE1HkQ9UhVYhM6ZUeZzb4MLcCliljBHXG1RWYAZZYqRpwtlFCpZuEkN5DGbKVI4uBnKkTRT5eH7lmdd49QwXjHSLn88udHV10Qc+8AFhl3naaacJ+8lEIiEUX5s2bRJ5b8zVV18tcu+4QGVkvx111FEil62SjWol1V0t3zcr0BjOD2TbyFopv9dx/uB/Hr2XrvvdD+jR+5+k/z76PP3hD38Qb0ceeSTdc889hSIYZ9RxgY9VdBdddJFQOHI+HR8724RyXuFkFrJT/X3V/u1WYpxHLiby3zMV++67b+Fjzh5k9edtt91Gf//738X5+eUvfyne+HluvPFGcguJTIyyaqZkvEolmqPKdQuWFvk6Im2USmeq+gfkar/f76NgYOqKOAB2gidLeiKds0AAoIqOM21sPJfBULawY7pNk3JWO8CmBViljGErKbk9nFPIxBLkQZEPTDdeTdJpLr4mSdQZ7qWh8Z0FCzwoj8FMlDGTza04Wy1nh17ZMhaAwlil6Tm7znzGVTnm+yKUx2BmypjeKW0TeZzivG0ZcyswDWwp7F08Nxf1UeGaKlEeJ6A8BtPD+wVj5vFqkgYqKRImz/xeMcdqBkaGqV2fzwq4mGPYU7K6j4t8nIWXyWREXtxHP/rRCT+zYcOGuh8X20Uadp2f/OQnq/oZUXhT1JwNegXm9iyko044VLwxvdkVdO7Z/ycKlj/96U9FPmE8HheKRs79+/3vf1+i8GvU326GC65TfZ2LtFPBWYjBYFDUN37+85/X1OjT0dEh8gT5jXnooYfozDPPFPaufI287nWvIzdgjvngpmGfx08pQpGvnli6ij5wv70onkjSxi3bpn0sP2Y8nqCD9t/bykMAoK7I7SHyrVxY0X4RgHJ4w1LdNkDK5tzGeDls10mUmyywQmY8XdwMBWAyqrU84MUdw4U+AKpXxlRuYuk2XWvmaxCAyWDFZ7kypiIBH0l+H+8wkD6ewAkFU6InU0Sazh2j4topx1Ae5x+dV2gBYM3ciu+VbG2tbto5qRoBALP6SO6OkKevq+JJMVt2Ym4FqoH3C3LOGuIKo85Qz+SRIf3dFRuNG4F32XxbP181TDfGs1qLYRUbF4SYkZGRkkKbGc7u27VrF9WbE088Uby/5ZZbqv+hjELZ5zZSdu3min+3oTw2WLCsnz784Q+Ljzl3kBkbGxPqt/nz508o8HEWYU3HYwE333xzIQvRDFutGkrHqeA8P84CjEajIptvNhxxxBH0rne9q+R8uQGzowby+BxY5Dv3HW8ir9dDX/72jymTKTOxL/sH58fwY889601WHgIAANiGyTIYDDjTKhIsFoxhKwWsUsYYuXwMKx6amWMA7I+uaYVA+0rKmPKNKO4g1vWchQkA1S7sJuuA5a9LHUZTAop8YJrxiteYkkRyhTw+43oybySYu4gBqEoZM8XcinNrC9dhevL9DgCqoZLyGIBqHV14H8GuGdmexXOJLCowcqFSPF+D+cIXvkCf+tSnaP369RO+t23bNmE9yZx66qkFu8o999xTvL/hhhuEss38eLb4bASHH364KPT95z//EYU4LlKVw5aabCVZ3uxJHrlkbsU2pN/97neFUtF8bxwe3134+cWLF4v3c+bMoc7OTlHE4t9twIW2T3/607Ru3TpqJJxN+MUvfrHka2wZyupDVhtOZ8HJcKYhK/ne8573CNvNcjiz72c/+xklk7nzt3nzZvrFL34hzlt5/iHbuprPlxsYTVY3twI2tevcd69VdNVlF9Lnv/pdevO5H6f3vP2NdNhB+9Oc/lx3CefvPfLkf+n63/+JBoZG6FtfvIj22bN2j2AAmo2uKMLaTO4sdrMAMOE6yU+W5CnsXflmF0uNFibti3tW4USC2StjDIugJXOFvbCdcgyA/WAbalZRCYsWf+WpIXcKSySRTnpeeRylSLByZzoATC1B69yUoA2OicxjWFeDqfB0d+Tm36o25dxqMG8vbN4QBWA2yhjxXQ/boYeEFbrIumqSSgbYHy4EcyYa52RPthacmHk8RL3t8xp+rMCpeXxTz614PqWNxEjn6IZFcxpqh86/y7dyEWWfnb1Fo3fVoqZYuXMB5zvf+Q5dddVVoni3zz77CPvGrVu30sMPPyzEK6tWrRLZewZc8ON8tscee0x87xWveEWhwHPggQeKTL4HHnig7sfORcaTTz6Zvv/979NvfvMb8bvZnpLVds888wxt2bJF2InyY8yxDeXNnmw9yo9j+9H9D9iXIv1hUrIKvfjsS7RrxwAtW7aM3v/+9xeUb5zDx4WxY445RtiZ9vT0iHPFCkYuOF577bXUKN73vvfRFVdcIRR9nCvIystHH32UfD6fKMSxvep0sNqPj/n888+n4447jvbbbz9xLfBzcBHxqaeeonQ6TW9605tE7uLw8LAoCPLfesghhwhFJxd7+TUfGBgQX+PHuoGMkqZ4Olr1WhDYsMh3wHHFSjjbdl525fenfPxHL76i4te5ceCpf91k5aEBYBmcw5B9bpPYEPXttTRnMQVAhevEUMbw4m4yWIm1ZThn9TACCzxgkTLGQO6K4JyCqhsS2KpzsmsqpzzuomhqpHAtosgHJr2mdL0sP3TqhZ0UDhFxpreiinsnso/BlNcLXytTZMCXW+Cx8liSkPUIrFHGSOyUwEW+WJw8c7pxWkFFuBCs7hzKFflWLKx8LQnlMTcl7DBlHqPIB6pcC1axaa7tHiY9owjbWDF2NRDfXktIeWl7IUd3JvB80Ld6CTWDiy++WBRl/vGPfwjl2/333y+KZJy3dthhh9Fpp50msuja2ornlRV9/DgudP3tb3+j2267jRYuXEgf+chH6JJLLmlYFhur6riw9JOf/ETYUz755JPic1awrVixgi644AJ629veVnEtaKa9vV0Uudiu8qmnnqRnn32OfD4v9c/rpUvffwldcMFHRSHP4HOf+5wobHHhk9V8XPjiQtnll19OTzzxBDUSLqhywY0Vmfw68NrkhBNOEMfC36sWVmCy3Sb/Tazm4+fiAiG/rmeddZYo2rGCkVm5ciV985vfFOdrzZo19Mgjj4jrY/ny5eLccEE0ELBfvmQ9MNvl+z2BErtXUD8k3UIz+Zcda01Fmic7T9+NIl+9OP3sC8T7W6//bt1+R6sQi8XE+0ikdKM8u36buBF6FvRN6rEP3A0v/JWXdogiMBeDJyOZidN9L9xW+PzY1acJz3MAKvH4pnsL6oRVc/ajlf37TjlWAVDVeBWNi25zORIWmwCT8dyOx2lzvilhQedS2n/RETjBoCLjqTH6z3rDBkiiE/Z6Y2HjfLLxivNr9axCnrm9QikDQDnVqjwVTaF/PXezUB4zR608CU0JYFL+u+1h2j66UXzMjhr7zH/5lGMVK7Syz28SH/v2WQ63BFB5HNq8i7TRmCgEe+YVbTnLWT/wLL24O5fR1Ns2jw5ZdgzOKKhIRknR3Wv/VPj86D1eTyF/29Rzq20DpA2NkdzTQd5Fcxp+ZllJmLzjEaKsUvsP+7wUes1haFqtMzz35jw+ccr3XU5SWZ5e4XG6Tv96/paC8v3lS4+hPhs2JVx22WXCpvPnP/85nXPOOc0+HNfywq5naMPgc+LjOZGFdNCSXAYi9q0cpOS77urLrXw6AGwLb4Sq8aSwPiAU+UAFDMuD8m6ocoK+MAW8IUoryUJ33tyOiUHNAExQxlRpecCLK95kkPu7SG6f3pYCuA+2SjQyHKeiK9xfKPIh5wpMhfn6qDYzhvNWqingAPfCG5XacJTk3k7y9BYzjcvxyt4S5TFfj1AeA6uUMdzAxxlReioj1oLSFM0xwL1z9qIyZuqmFSiPQbWY14HcFMz7CNMh7NCHxsRY1Qw7dG4eDJ14GKXueaImRR8r+ILHHYwCXyP3rYKBSQt8lZTHfO+0Y5EP2IOREkeXyRtdgI2LfIceuJ+VTweAbeHJEttvaONJYcvYDI9wYG+0QpFv6oWdMVnaFd0iPkeRD1iRGVNyLY4nhWUQBXwo8oFZ0RUqTtCT2Tils0kK+KC4ArPLjDFAgQ9UsxHFhZWp8vjM153ZXngJMo9BBdJKihKZ8RIb/arXgqmMcO6YSgEPXEpWEeoYknLFiqnoDPUWMo9VTaFYeow6grCBBVM3UPE9rpp5k2g4lmVxPTbLDl0U+l57BGXXbiblxa25+/gkcAMFZ/CxRScXnUD90Sax6qxEeZEPgIrXlK5R1GTXiTw+hxb5AHANAZ/o4mS7Fn08QVIn/IVBKd5l88RmlBSafnLaXVbkA8CKzBgDuSNM2kiU9GiC9PmN7+AE9kbjBT9fEgH/tNcGWwIFvSFKGcrj5BDN9UF5DGavjDGjKyqRqpIU8OPUguJ1oes1b0RtHn5hwvUIgJmxGShjGLmrncNqq1LBA/dRGKtCwWmbgcuVxzzfR5EPTNtAVeXcijNs2QKdrfmFC1UTinziOIIB8h+wB/n2W0nqll2kbNwhio4855O8HrFn4l02P+fqgAb6hsJ7BaTrVd3PzI0wvA5E5jGoRCw1Sqquio85E7ujyuZ0MHtQ5ANgBvBGqNQRJn1wjLRogmQU+UD5NeLxVB1ubZavj6VGSNVU8siTWyUAdzITZQwjsUWnJImmBEpniYLYOAdFNFalxxJVZ8zytbcz35QwkhiAvTComBkzE2UMo45ESd2yW9iie5cvwNkFRfj+xQVgnoNX0UBlvk9CeQysVMYYG9YeqEzANPZ3chUNCca1B+UxmApNUymaHJ6R/Z3Yk+D87WicPHObu9nOBTwu5vEbsAdypE28VQMXa0qUx6kx6gh12y6Tj99A8zA313HTCvY2W6DIt3twmNat30jRWJwUZeqQ1VNPPq5ehwFA3eAboTY4JpR8zfA3B61DhG98kkd0u3A3VDQ1TN3h/mYfFmgRZQwvpkQHZyyRW9yhyAfMyph8Pka19j3mIp9ZXQpAcayamTKGkUMB4r5P2KGDSZUx4aBQJkxHyBcW114qmxCfjyQHaZ5vMU4smLUyBoDpMLLHpottKFx7UB6DaYimRoUFHiOzMqYGS1dunFJ5q4qbPjWtqnsoAFUpj5ODtivyAZvtWyGPz9lFvufWbaArrrmOnvrf81U9nusiKPIBJ8KTds+iOWLShAIfMKNsHxTXhNzbIWxdp0NM1EO9NJLYXbgposgHrFLGiPEqEibiIh8rtuZgIg7yGNlWslyVMqZcHcMLPO7i9MgwhgCTq45rmiOxbazfS3pGIT2erFoRD1qfWpUxRtFmZ3ZzYW41rwNFPmCNMkZck6pG2mhMWM55F83BqQUFOFNM5J9VqfY0z+uhPAbTKmNCPSTX4Poj+bzk23u5sMUEwIw2nsg7JHADlTRD5fEeOKmgdLwy5/HVuG8FZofX6gLfORd8nlLpjOgO9/t81NUZIa8HNxPQevBN0NPT0ezDADZD13TShqO8c5DL66iS7rC5yAd1DLBOGcOwx766fZD0RLKQfQBAiTKmykIMd2+WKI+TI9TdBuUxqDxe1aqMEXbokTbSh9gOPY68K1CAi761KGPE9RfupZ3RYpEPAKuUMQY8t+IsI72/CzmioHgv4+apGsYqntdDeQzqqTrG2g9UQt05RHoiTZ7Fc8jT3VF1U0Ix8xj7VqCUZDZRcNEQ1wtcEpxb5Lvmut9QMpWmxQvm0aUXfpAOOXBfkiEFBwC4CD2VFgU+4sDoGmwRzR0uvBEFC1hgmTKGF3Z+X06pxdclZxqhyAdmqIzhjdDOcC8Nx3cX8oxQ5ANmZczYLJQx4hrrCJM2NEZ6DHboIIewF2sPEcVTVVsLl6tjuKAD5TGwShlj2KFLbUHSx5Mio93Tj8xjMHOgPAaTwfsCJQ1Us7C/01XOtpWrVm2B1oXV6Kw4ZuSaGqhKlcepbJKCvup/HrhnbhXytVEA10ZDsdSM+an/PSc2Hq+67EI67OD9UeADrphwqYOjlN2wjfRMttmHA2zUac4TpVoKMZ2h4mQ9o6ZLrBkBmI0yxmwd5FuxkCRk8oH8/Wsmypjya9BcgAYgp4xRZ6WMEdejLJOeVQqbD8DdsCrGu3gu+fZaKgor1dLOyuO8nTArj80FaACsyONjpwRGi8VxQoFA2bSTlG0DNe8NmAs3UB4DM6yKSStJ07Uys/FK2byLsmteIp0tGoHrEdmhes7OtZqImXLlMcYrMH0eH6w6HV3k03WiUDBAe++5wsqnBcC2cBFHGx3PdXDGMFkCRWUMd/bWgt8boLZA0SIBiztgpTLGGK8AKJDJCutWkcMQri4zZirlMQDlm+YzUcaIsUqWSWbVFt9TMbcCs0Aoj0M9pvEKtlLAWmUMZ7OL54sncwoZ4Gr4GtDGxoUanedXtVCiPE7mMo8BKJ9bhfztIrphRnCTjM5NCdi3AjOzQZ9sLQhApethNqpjYIMi3+KF80hRVFIxwQUuwujg1KPo4HQ7vGGgzWayZOoiZgs8AKxSxpRcp6yOyWLjwPX4vORdPp88C/pEUaWmsco0Yc+qGUpkYq4/ncA61TEj93aSZ2E/ycg+BsIKPZf3PhNKlMeYWwGLlTFSwJ/L4tPRlABMzZ4Bn1DH1EKJ8ph0KI9BxXtXt8n9Z8ZNCdE4GvQAaTNsTp+wbwVXF5BH0RSKpUaL1wmUfM4u8p128vGUVRS6+z+PWPm0ANgaY7KkjSdFZghwMekMkaoJmzEpWJsypryDExZ4wEpljDlcO/vcRmEzDNyNUEtF2sjT21nzz/o8fmqH8hhUVMZY073Jcyu+NmvdJAWth64olF23OWcxNoN5dkm3eRLKY1C8FixRxuRzRBnO5QPuZjbKGCiPwWSUqo5n3kAlsm1lKdfwmcrghLsYnk8Ju84a8/gq7VvFoDwGeaLJYdGkwnDTSiRQ+z4DsFGR722nn0xHvPxldPlVP6Sn/ve8lU8NgH0J+nObUJxvNF7sCAXuQ88oRB6PsL6bSZi1edIeT0cpoyCLCFinjGGM4jOUx2C2mMcrKI+BlcoYACoqYzgzpkbVcSXlcRzKY2ChMkZcm5E2Ip72o9nT9cxGGZMbr6A8BqUoatYyZUzODr2o5gPuRWRes0OC10MUqD6Pz6A92AnlMZhASbNnqJckydKSE6gCS9tjPR4Pfe9rn6Orvn89nf2Rz9PBL9ub9ttrFYVDU3cGfPCct1p5GAA0FM65kjraSB8aIy0aL9h3AvfBr71vn2U5Nd8MCPvbye8JUEbNFffGkkPUH1lg8VECtypjGCkSEhtRejpLejqTs5gCroM7eLXBUdFpPtN7Fm8ybB3ZID4eTSLnCpReB7NVxojrVFFE7jHfUz1zi7lqwF2wU8ZMlTFF5XEnjafHxOd8TzUrkYE7sUoZYxR0fHsvJ4k3S4Fr0VWN9OTMlTET7IXzymNkarubsVSpMma29y+JXaiicZHLh7mVe5FCQfKuXMhV5BmNMTnlcS8Nx3cV5lY9bXPqcKTASZTuW6HZsxlY7oHz4OPP0L0PPiYmJE8885x4mw4U+YDTYZsWDtjWYwlMxl2OmCTNcJHPP8s3w92xbYWbJIp87sZqZYzEStO2kFAdi8UdinyuhF9/dWCUpPHkzIt8oYnKY7+3dpti0DpYqYxh9KxK6vZBYS0l93fNSMUFnE/RTmrmRWO+d5qLfIu6V1h2fMDdypjZzv1B6yAKfHpOdcy5xzOhkvIYTQnuptTRZfbKGJ73q9sGxL2Vm/5gi+5O2HVqps1TZstOc5EPuBuuAY2YGj5R5GuBIt/jT6+hj37+CtLyVhWLF8yl3u4uofADoJURN0jePA/6cyouLPRceVNjZtttyYs7o8gHCzxgtTKmsLjjIl80Tp6+LpxkF6LNIjNmMuUxX6tzoDx2NVZ3b/KcijefRHbMeFK4JgB3oatqzlJqluMVz622jqwXH2MjClitjDGjsyoC60B3omok+X0khYMzXg9CeQzqPrfyeUnmzGPet5pBvAgAlZoSuLgD5bG74aYURS1mfXaG4MLi+CLfD6//A6mqSvuuXknfuPSTtHjBPCufHgDbwt3lvr2XzSiHDbQG2kiMtF3DJPd0zMr6wjx5H0sOk6Zrwg4BuJPRxIClyhhGjoRJFTlHSbGByuo+4M6Mq9koYyopj1Hkcy9WK2MKduiRMOnDUaE8hh26i/P4eON8hsoYpjvcX7IJAeWxu6lHZgxvbiobtou5lW/1UpJmkHEEnI3c2S7e9FlmM0J5DCaPbbDG/s67sHhPBO5DT6VJHRwTewI8Zs0Utus04OIOlMfuxrxvxTb53LQCGo+lO8dr1q0XC/IrvvBxFPiA60CBz92IgklWyQUYz4KOYE9hs0HTVYqlRiw6QuBERuqwsOMcPrH5pBPpsaIVKHAHnHPGeYzMbG1azNck1DHuhptSDGWMV/ZZpowxCnt6NF5QzAMXFvlmOVaFfG1CeWzOugLupS5zK5NyS4vFLXlO4Exmay1tVsdgbuVu2GZa0bL5zyTRlACAFVnHGjfQDUdn9TyG8rhSkQe4e27FVq6gBYp8uq5RWzhISxctsPJpAXAUeiYr1DHArRtRs7NT9Mge6gx2V/ThB25UxuQyhMqVCLPFM6eHPIvnkNQ+u41T4OCxiq0QZ2kpVkl5DNxJ6aa5NcoYRoxRspRrokkVLWCAO5A628gzp5vkrtlZtRrKYwPMrdwL71eMmebWVs6tOKOd0aIJy54TOANW71nViFJJeQzcibnIGwl2ktfjs3TPSh0aIy2fewvcA1vgW9FAVV7MwdzK3dRDdQyaXORbvmQRpdIZymSMbhMA3IWyeRdln99E2hg6ON2EyAvKj3tSePaTJfNNEbl8bs/jyytjPH5qszAzRu6OkKe7A7kxLsSKPD4DbkgwK4+jSSiP3Yq5e7fLwk1zVkTI+WuVLTuBu5DDQfLM6yU50mbxRhSUfG4lZlLGSCRZmhljXKc5O3Q0vbgJbXCMss++ROqu4Vk/l1AemzK4oTx2L/VUxqi7R0jdNiAiR4B74GYEzaLmdAb7VoBJZ5OUyIzXpYEKNLHId+apJ5GiqHTbHfda+bQAOAYjf4FtpYB74MU8I4UCJHlmP6yWW+DBosydjJTl8ZmtoACYKXpeDcWb57NFLlcewwLPlbCCM9eUUJ+NKIktOyWJdAUuCcBC5bGG68mNjMbNypguS5UxFPCJ/Ei27tfH0ZTgurUgZ/FZsA4UymOTLSPUMe6lVBlj7aY557ExeiyBvQY3kc4SsesY516HrC3yJaA8di0jpj2AoDdEQV9ufAEOL/Kd/trj6dSTjqMrrrmO/nbX/VY+NQCOQGxE5X2uZxu6DZyDld1Q5ZOltJKkVBYbBW6kngu7gk0Ld3HO0o8fOAvv8gXk23MJSXlbsdlivjahjnEn46kxUjWlLsoYRu6KkG+f5eRdAOsXN8HKTY2zGC0q7nYEu0k2K49To5Y8L3DuRpTVdlJcnCmsBWHZ6VJljDU2+FAeA17/J7Px+jVQtYdzDVTsRsSFH+AyR5cgSbJkvfIYTgmupNyqE83pzcNr5ZN94Ypr+D5BPq+XPvPlq+k7P76B9lm9ktqmsK/jF//yT59PduHJ/z5HP/7VjfTMmnWUVRRauXQRvf2Nr6NTTz6upud5du16uveBR+mBR5+iDZu2UDKVod7uTjrkwH3pPW9/I61euWzCz2zbsZtOftt5kz5nb08X3XPLz2f0d4HGIDKOfN6cfWM8SZIF9kLAOUo+w1JstgS8QQr52ymZl7yzVUfIj2vJbcqY0syYvrpks6k7h8S45emxzgoU2Bsx6Q76LXs+zl+joVLlMSb27lUdd4S6ySNburywRCEPnIc6MCJyYzwL+8nT22mJ8rgj1FPYiOD3YvwCrt2IqoedFOfyaYOjpMXiuB+6ySGBm3tlWcyp66U85jEMuHOsYlWM1coYnlvJ7aFCQ43HwrUBsH82u1X7VjnlcR/tjm0t7FvN6VhoyXMDp2azw6qzmVi6Cv/T3+8W/+SGtdz2XQPirRLG4+xU5Lvj3gfpU1+8ijRNp5cfsA91d3bQQ48/Q5//2ndp3YZNdOGHzqnqediy9G3vv1B83NnRTgfsuxeFggF6/sWX6PY77qN/3vMAXXHxx+k1xx41aTHvFYcdNOHrkTZIXu2O6OCMhEkfjooOTisyRIC9EeNYvhPOKiUf0x3qKxT52AJvQddSy54b2J9YaoRUPade4Mwz3pi0Gh6rSMptTujpbMFuGICZK49TovMYTQnuopFB67qqkuTBRmero2s66QljI8q6uRVvRBWKfELRtdqy5wb2J5mJl7hj1KOBirO55a723NqAt0TgtO6iZs+gZU1OhvKYm/4M5TGaEtycx1efTXOhPOYiXyxOnjlF+33QurAYgbF03ypcLPIhusF9KJpCseRIXedWoElFvjecdKyw6XEiY9EYXfL175GqavTtL11Erz76SPH1weFROvv8z9H1v/8THXPkIXToQftV9Xz77bWK3veuN4uf8eQ3IzRNo+/97Lf0k1/dKH7XoQfuR91dE9UTy5cspK989gKL/0LQKOSONtKGo6SLDk5IlVsdXszVw0KMF3LbxzaKj2F74O6FHWeeeerQvSt5PWIzijcnxOIu0GX57wD2Qtm0U7z3zO2xrNuclcdhf3shbJtVXSjyuavRpREbUbwpoWzcIRoS2LrTCoshYF/0VJol7US8hgpYpy7gjYeNeeUxX7dQHrsL8+YjW4wFfNYoGczw2ORdMs/y5wX2V8ZYZdXJQHkMGtFAxbl8av4aZmtsXhuC1sa3cmGu0GehS4a5ASEK5bHrGEsOkS66mviy8lIkOHv3DWCTIp+TC1M33XYnjccTdNwrDysU+Ji+ni76xAfeTR/7wtdFoa+aIp/X66Hf/ujKCV+XZZk+cu47hGJw4+ZtdN9Dj9FpJx9v+d8CmovUHsr7mytE6QxRMICXBNSMeTIfS42RombJ64HSyi3UO4+vZHHHRb5ogjx9KPK1MpwTy3Y8pOvkmddj+XhlFPlGE0O0oGuiJTloTVgVw9mxdVfy8cYTb0poWt4OHe4WrQzbdFqtjCnfiMooKZF3xE0KwB2MxOvfkADcmMdXzLiyEiiP3Quv+825sfVSxkh+n2j609MZ0pNpzK1cAscLWUlOeewRqmNWH0dTI3V39gD2YdQ0t+L7FrtQgebRtLPPqrZ7/vMoXfD5r5Ed4IIbc+IxxQKfwdFHvpwCfr+w7kxz0WYW8EJ1zxU5272BwaKkFbQOkiyTZ15vrovTh6JMq6MlUmLz3GraA53klY3rRxcdMsCtypi+uiqPxe+MJ0lXrb+OgX3QE2lR4BMLO7+19yae0BvApsW9eXxcLGFlZ/3s0HPjFSuPgTvs76xUxjB+oTyOFD6HU4J7x6u6WwunM6QOjBas0UCLwo1TPR3CnlUKWdvYa57/G8pj4A5Gxbo/93rzfgDvC9QL75K5wiGBGz9Ba1OvMYSVx52maBHMrdxFo/atQHVYW8Kvgk1bt9PNt99Jf/nHPTQ0MkZ2Yd36nC3ePnuunPA9n89Hq5YvoWfXvkgbt26n1Stn16G+dceuQvZeJYaGR+nan/2WBoZGKNIepv333pOOe8Wh4jiAM/D0QxHjBrgooqzP+Y/79l5Gkte6IVWEGId7aXA8Z683khii3nbY/7gBVhawwqAhG1EBn+ji1DNZ0scTJHVC0dD6m+bWKmPKJ/RQHrsL80K+3soYuSNM2kiU9GiC9Pm5XG/QosqYfB6f1coYhudWiUyscP1CeewOsmqGxtNjDduIUrbuztk4yhJ5emFd1erNvfUwOYTy2L2UW3XWc74jwXXKNSgvbhWWrJ4FfSRZaIVujFdGIw3vW8HTxR3oulbS4NvVhiKfK4p8yVSa/nH3f+iW2++kp55dW9JFsGLpImo2bNMZG8+FcM/tL9q4mOGvc5Fvx86BWRX5nnhmDa1Zu558Pi+98vCDKj7mpc3b6IfX/6Hka/Pn9tM3v3ihKPhVy+lnV7ZP3bxtBy2aP5disdwCF0xOIlEMZwdgAvEUSak06X4vpZNFuzKrCHk4szNX5BuK7aS5oSV4EVzA7vFc4ZgJedspncxQmjL1G6t8ElE8S+mxKJGMLuGWZWiEpHSadAoTWXz/13WJPJKXVJ0VCzrtGNpCXSFYobmBofFc4xoTlNurmlvOfLzSiDIZcR2nhkZEkwJoQVIZkhJJ0mWZ0kqGKJa19OlDclHJNzS+G+shlzCSLKr4WBmjZSSKZWP1m1t5pNw9d/cQkR/WVWBmBL1tlFJy6vWdw1upv20hTqULGIzm1v9M2BOp89zKBO/RooGqNeHMxdEo6fz6drcRZdKWPn2Acm4bzEh8N0WjUTTjuYB4JkqqZjgWSORR/NOOV9hjn55IpLhWsVWR7+ln14rC3j/ueYASyVShuLd8yUJ6zbFHibc98taVzcQ4NiYYqGyzEMrbL8QTyVkVEy/5+vfEx+868w3U31uaieP3e+mtp51MJx3/ClH85GN58aXN9KNf/pHuf+hxOu/Cy+nG675FC+bNmfExgAaSzhLFEkRBPxHn9IHWg+3vGIvtWQw6At2Fj2PpUTF+QrnQ+kTTRSvniOkaqBs9HUR9ney1Uf/fBZoDL9qTmbqNVzwu8bU6mhooXMMo8rU+ipalRDaXxVh+z6oLPEaFg0SsSuXMNhT5WpOAj/QV8zk0ry6bjeb7aiIbE9dx0R4dtCqx9HDh44i/u/7z6fYgEd8SWZXKtv6YY7UmfC/itT7nxtYBvq8aRb5oehhFPpcoY2KZYh5fJGBtjvak1/FQNLdGmANHqpbet+K5s0eu69wqq2UopSQo5CsW/kBrwvclg3Z/B3nkhptFgjIsfwWGR8eEFectf71LKNLMqj2eTP/2R1fSvqsnWmLOlo9+/grasLmofqiGr37ugpqUcbNBVVX6zJe+TZu27qD9996Dzn/v2yc8hot+F3/ivJKvHbDvavr+1y+mT3/p2/TXO++jn9xwE1164Qer+p23Xv/dKRV+s6kOu42ZnCs1PkRqLEWy7CUvznVLkt0dJT0QIE9fD3nq8BqH20K0ZvcjpJOeU8j4FIqY/M5BaxLfVbSTmtM1v6bxB+M6cp0UawAAr5lJREFUqARb3yls+e2RydfXU5fNzf7UvEKRL6FGcS26gIHY9sLHPk+A+rvn1XRtzWhuNUcldfsgSSqRD3MrMAPa9Xby7fYL+0ZGkVPUHcHcqtWJDxY7y/s65tV9bqW366QMxkjPKOSVvCTnM0VB68BW99mXdolmBN++y4V1p9X0K/Npdzy3xzWeHcPcygWMJYdJ01XxsSTJNL93YU0b5zMZrzRNImUgSpKiYW7VoijRFGmBAMk9nXXbm2wb7KB4Oio+zkoJmhNB1Eyrs2G02OzZG5mLfatWKfJxEY+VZlzYu/fBx0hVNfG1YMBPx73ycDrt5OPoA5+6vK72nNt27qKN+aJitaRSucVdOFTMe0il09TunRg6m0zmOh/awjNTZH3pWz8S52bZkoV07RUX15yv9753niGKfA88+uSMfj9oPFJHG9HuEdJiCdI1nSQZ2TGthK5ppOczY+Q6ZMYwPKHvCHWLyb4RatuBIl9Lk1HShclxIzKuKuVMSnXo7gNNhu9B4YDIDa2XesF8rY4mhkjTVBHEDtwTtN4Ipbnc0SbuvXIH8kPBzODrlMer3bFtheu4P7IAp7OF4fvRWHKo8Hl3AzJj+DqTIm2kD42RFo2LsQu0FiJzkV/rkL8uBb7yuRWvD3id4PfWx0EG2C+PryPY3RBljNQeFsVqPZ0lPZ2xPK8N2Ge8kuvoMMZrAWMfg+dWC7tX1O13gebDNR8jh9HIDwXNZ1Z3jC3bdojC3p/+cQ8NDo0UrOQO2n8vOvWk4+ik414x46JYrdx43bdn/LPtbWGKtIdFLt+ugSHxeTn8dWb+vNo3XL/9o1/STbfdQfPm9NFPvnkZdXdxzlZtLF00X7wf4AwS4Agktjtg6w5FJT2eJCky8boCzkVnywMe8/g19tfP5okXd8Ui3wAt7W2M+hg0f2Hn9wYbZnOhJdOkbt5FJEvk22NxQ34naBy8oJNXLS44K9QDbkDgjmO2GeIO5GhqVISwA3eMV41a2El+H3mXoDO4VeHNRXXnMEntIfL0dtbt9/D1WizyFTcoQGvC9yOzMqYj2BjlptwRJm1ojHRu+ITlfsuhsXU0X1Nt9dvvCvvbye8JUEZNF+67czqQy9fKmO9JXDRpBNzgKbUFSR9PkhZNkKcfRb5WQuf9yFRuDJHY9r6O+1ZbRzaIjzG3an1S2QSllWKcWXcIRT7HF/lOOevDoqjHk9aF8+eIwt4bTjqWFs2fS05jz5XL6PGn19Cadetp5bLSDc6soohsvIDfT8sW1dbp+bPf3CLeero76cffvEwU+mbCWCznxR4K1m9QBtbC/xtszaKNREmLxUlGka+l4MKtsbCrp3qBJ0sbh9YWOqKwSdDaNEMZw0g+j9hcZfSsQpIPfuqtSD2vJ4/soc5QT6Hww4s7FPlaXRkz3PCNKNDaaPEUaWPjJClqXYt8ZnUMX8eqpooxDLR+QwLfpxr1WovijyyLDVbKZImgjmnJtaBcxyKfUB639dOu6NbC3ApFvtaF1/nm8aqRji6sNla5yBeLk6cfuXythOE+JQV8dV3jm6/XRGac0tkkBXyNEf2A5u5bcUMKXmt7YImvwFlnnEJ//uU19MFz3urIAh9z9BGHiPd33PvghO/d98BjlM5k6IiXv4wCNUzOb/zLP4WKL9LeRj+68lJavmTmXVd35o9r7z0heXYS3MHJ6NFcBydoHeSudvIs6CO5p77ZlmZ1REZJiQkTaF1Gm2R5IGwc8519bCsFWge2YOW3RmBe3KGDs7WJpkYKyhhZ8ghLqUbB8ynuSFZ3jwg7dNCKm+b1bWpkK3SPlCv0sPo4aipYg9ajGcoYhi0cvSsWkG+f5bC/azG4IY6tDeutjGEwt3IPyWyc0kquIMM0slnOaEjn+7Cu5uZ3oEVg++j2UM6WtY4EfWEKekMVi0Cg9WjWvhWoY5HP7/OJhfZvbv4rHX/GufTlb/+Inn42pzhxGme8/tXCpvPufz9Cd95XLPQNjYzSt374S/Hx2W89bcLPveFd54s3w87T4J/3PCBy+Djv7/tfv5j22mN5VUXBDZtyXVpm+Hiu/vGvxMdvP/21M/r7QHMo+Jtz92Z+IQBaA/aq9/R1CbVmPeHchbZA0eIXG+etCysJxlIjTVPGGHkxOop8LQWrybNrNpCyrf6WdKW5fDnlMWhNRsqUMY3OX8yu307qzqFCdzJoPZeEeiJLMnWaNk8xt3KPMqbRG1FyOIis41ZWxgT9ueiGOmJeD0STI6RoSl1/H2ge5ntRmz8iohsaubchsvh0EhbDoHXgAq5vxULyLqyvMpSVx11taPh0qwMVsAez0ur+6+af0W133Eu33H4nrV2/kf7wp3/QH//8T1qycJ6w7nz9a46h+XMbJzGfDZ0dEbr80+fThZddRZ+45Eo69MB9xdceevwZio3H6d1vOZUOPWi/CT+3cXMuz0FhGw5TYfAzX/42aZpGC+fPpT/+5Z/irZzjX3k4nfCqwwuf337nffTFq34grEM5g48XJes3bqGX8r/jPW87nU44+og6nQFQP3/zkFgIiBDjIPzNwcw2zoshxgO0CCHGLQkrCVhRwLDCINJAZYyxAOBNc208SbqmiQ500CJB6zqrNetfhDF3HGfVjBi32oP1s9wDzWO0iQs7YYfOWVcjsZwdejusgFoBbojTMwqRVH9ljDG3Go7vFh+j27x1YQcMI8+M6WpiZgws91sHnis3oiGBaQ92kUf2kqoppJNOY4kh6m13pnsWmJpmNiQYTkV6KkOE2AYwi7nVzrHN4mM0ULUuvM4fT48VPu9qoLUwqGORryPSRu940+vE23PrNtBNt99Bf7vr37Rp6w763s9+S9f+/Lf08pftQ69/zbHkBE485kj6xXe/TD/65R/pmTXrSFEUWrF0Mb39Ta+l004+vurnSaUylM3mOqxe2LBJvFVi4bw5JUW+M15/InV3dtDaFzfSg489Tal0hnq6OujVRx9BbzntZDrykAMs+CtBo/EunkPk8ZAkNyZbC9Qf3lTUs6rYWJT8vrr/Pt5A3TqyfsLkH7SwMibcK5QGDYW7kX3enAXReJKkvLIPOBdha2h0mzdgI8rn8VMk2EWx1GhhcYciX2teV+aFezMWdrnM41hOeTwf3aMt05AglDGBhiifzMXpnPJYI6nR913QUDspdsZgh4xGow6NkTY0RnJfF3l6iu4cwLlwZpkUCjSkgZfXA1ycHorvLKwXUORzgzKm8XMrz9yehv9OUF90RSlEczQC89wqlhojRc2S11P//TLQWEYTQyXrf1YeA3tg2X86Z8VdvOd5dNGH30v/vPcBoe577Ok19OhTz4r3Bg88+hQdc+Qh5G1AR/lMOGj/vemHV15S9eP/e+8tE762cP6cil+fjtefeIx4A61FPcNtQXPQhqK53LJ5veSZU3+1FUKM3UGzfc1ZHcOFPZ03o6Lxgn0ncDCsjOGmI35tw4GGLe6KRb5BWtyzqiG/FzSOeCYmOjibkRljIHF2jEQiE0k4JdSQmQ3sidYgq06DzlAvSSQJZYyiZcVmFGf1gdbCFnZSiirUMaIpAUW+loCbPD09jdu47m4rFvnM6wXQOmSUdMG5h0HGFbBq30rdNUxyfxd5G9AU1x7oJK/HT4pYJ+g0mhykvvb5df+9oLn7VryPBOyB5e2Kfr9PFKquu/pLdPtvvk/ve9ebaU5fT6Hz9xOXfIOOOf0cuvhr19B9Dz1eYnMJQMsrKrScFR9w9uuoGd3mDbIIC/nbRJCxAWylWlQZkxxqavcmI3e2k9zdQXInCnytQGGsCgcaZr9qvnZh09KamBXlvJjnDs5m2aEzWhTZMS2Bxr7CRHJbYzKIuLM8YirqYW7VmjTb/o4xnBG08QTWgmD2mcfJIdLy9v6gdeDX1cDvCVDY3968PatUpmBJC1qkgaoB7lPi90gSdZtssUficKFqRZqtOgaTU9cdn0Xz59JHzn0H/fMPP6bvf/1iYTvp8cgi4+4v/7yHPvLZr9KxbzynnocAgC1gVYyydjOpW3PZH8DBpDNEqsreKcJSqlGYu4+xcd56cOdmruONkagr1HhlDMMWtGwxzFZ4wPno+YWd3CBlTLl1YyqboGQm3rDfDRqD+R7UzKB1Q23MFtrA+XiXzCXfPityKs0GUWrZCXVMq5FRUkJ53OyNKLZ0FM4uml64LwPnwlbR6uCoUJI3is5QT8FOmLP5YqmRhv1u0AxlTH/TlDGsOM6u20zqdtwTnY4u7jmphq8FWXlsgH2r1kPTVBpLDttiLQgm0pC2br5BvfLwg+lbl19Ed914HX3yg2fTiqULRZdIbBzdt8AFeGTSM1nSYglx3YNWUMYEG5qzCHVMa2OeAEeCbHMB73pgYcZVg5QxTNAXopCvWCSGOqb1sIMyhpHzxSA9mYY6pkUQCs0GqY4rza0wR28tzPcfvzdYcm9quB16fryC8tj5cMaiun2woJBpBB7ZS51Bk/IY6piWwxbWwoZlNtuhs8VwAwvZwHr0ZIqlmUQeD1HA15S5FReDuCgEWodoaoQ0XS1kxnaY7k2g+TQ8Xby7q4POfutpdMsvvku/uvZr9MbXndDoQwCg4XBBiAt9pGqFTVfgTJqhjCnfSDVCjEHrYBdlTMGSNpESmxjAufDrKPd1CgtWKdzY8aq7zWQrBXVMS5HKJimRGbeFRQvn8HlXLCTf3ssaWhgC1tOs4pr5fptWUpTMQhXaynOrZmbGGMpjVsmgmOxcOHpDbJw3ZS0IO/RWhdWZZmVMMxuoJK+nsG6AU4KzKar4gg29/3HRR5Y84mMuBo1BedyycyvOt5bl3GsN7EFTV8QH7LuaLvvUh5p5CAA0BL6pGvZ3OmylHIvwqG+CMsYcYpw/EqhjWuy6Go6bN6LmNPV4SFFJeXErqdsGSM8qzT0WMKv7jqevi7xL5wl1TCOB8tgdCzvOiuXM2GbCFsMo8DkfZf1Wyr6whbRkuqG/l9Vdbf5I4XPYSrUWIzaaW4kcb0nKzatShj07cBp6gpUxlLNf9Xub2EA1iGJxC8EFPj2fs8iqzQ5TXmwzkDugPG6l5nRx/2kgXPRhi+FK92LQanMr5PHZDbS9AtCofzZMlpxPVsktztl2h9WZDUSEGCM7piVh5UBaSVZcxDcD3riQwrm8SbYYBqBWzGPVeDpKGaWxG/egMQu7Hpst7KCOcSY6u1wk0sJ2lRUEjaZEHYONqJaBHS+iqdHC5z3NnlvJMsld7SR3R8Q6AjgTc7Nno5Wh5rlVRk2X5E0CZ2Nu9uwK9QkLvGZSaE6PJ8U9GjgP4cxTGK8aW+QrL/7A1aV14GaEEmvhJs+twERQ5AOgQYgsBvY3T7O/OTo4nYjk95Fvn+XkXb6gKcqBUnVM8eYKnI1ZOcCKgoC3sQXkKRd3UViXORVtdDx3v2mCDV7YHyG/J1coLs9wAy1kf2eThZ26a5iyazflFBbAceiJfKe535dTxzSY7rbixjnmVq1D7rXM3f+8sk84YjQb7+K54k0KGs4cwGkYOXzN2DT3efwl1zGaEloH282tAj5xT+Y8N30cDZ+OhKP4FvaR3NPRlHuO+Trm+zEa8VoDERuk5WKDJJKoK9Tb7EMCZaDIB0CDkDyewoIA6hjnwl3mbA/WDMwdnGPJIYQYt6LlgR0Wdnyd57NjtPGkyB8BzkJny9XNOym7drPIgm003N1emh2DIl8rwIrM8fSYbezvDHLNU1nSoTx2JM2yQa/UQJXIxEQ2H2i9TfNm5vGB1kDX9EIzSaPz+CqrYzC3agU0TS15Le3gksDjZWEtiLmVI5FkiTzdHeRdNKcp979c8Sf3e7koZF4/gNaYW7GtsNfja+rxgImgyAdAA5G7IrlumgZbPYLWoDTEWKOxVDGgGziXYfNGlA0Wdgx3/AlFhaYV/PyBAzMYAv6m2N9NVMcgi6EVML+OnGUW9reTHTCUxxqUx46kmcoYJuRro4C3+Luxcd6CRT6bzK0KFmrJdMPzJ4EFZDI5cajHI5ROzQBzq9YjmhohTVfFx2zT2WHKMmsmnp4O8i6bT54Fxfk8ANXCxZ+OYFfhc6wFW89a2E5zK1AERT4AGj1ZWjSHZBT5HAdn8WXXbxO2YM2yG8iFGBcl8SNxdHA6nVQ2QcnMeOHz7jZ7KGNEBydbDIuNc9i0OI1iBkPzGkrME/9ocphUTWnasQBrMC/QudPcLsoYY6zSUxnSMzkLGeAMWCnOeXyM3KTxqjzzGBZ4zofvN2PJYdvk8ZnRBkZJeWELabtHmn0ooEakYIB8+y4n38oFTbv/medWnOnN6wjQOpvmvM73yM1pzqvU8Cl3tDUlogTMDt6rUgdHSUukmmqT2VUyt8K+ldPha6nUJcEe+1agFIzYAABQBSJ4Op4USoFmbmyig7O1MNsYspog5MttVtsBXtiZrdSA85R8zbKTYiLBLvLIuXwtnXQaTQ417VhAHayFbdS9yWrVgh061HyOQhT4dD2nHOf8nyZRmnkM5bHT4fuNruesqvk+FAl2k12Q8pb/bIHH9o/AWXDBg4t9zSLoC4v1ggHs0J2P7fL4gPNJZ0ndPkjK+m1GNG1TKM3lG0Aun8OJZ2KUVYsuBOYGOWAfUOQDoBk2LVwsGi2qd4D9sYMyplIWA0KMnc1IfLctN82NjSjvioXk3WNRsw8F1ICuaqTnbcCaOV6x5ZA5jHsUHZyORlGzFE2N2nYjSjbUfMiOcRayRHJXu8j+aW4DlUl5nBoV1ztojYaErlCfuB/ZBSkUyNloww4dzJAS5TGaEhwNNyPYLY+v3MlI3TFEyqadzT4UMBMb9HBQZPM1C/PeRlpJQnncQvtW3Mzr8/ibejygMvaZ8QLgElgVw101yjZ0szgJOyhjGIQYtxZ27t7kbmW5PWQbSz5QHXoi35Dg94m3ZgJ1TOuQUwvk2oG9Hj+1BzrJThjKY208KQrdwBmwfb13yTzyLmzu/Y+vZ69sjJdQHjsdW8+t2A7dGK9i8WYfDqgSbp7KvrCF1J3NdyXoMiuPTQVt4DxiqTFStFxTiUQSddpNGSNJpA6MkDY2Lgp+wBkYLjzNskE3CJTld6MpwdnYNesYlIIiHwANhjtqyCMTqWphMxbYG11RRdaPHZR8E0KMsbhzLBklTePpaOFzTJaAlQ0JzR6rmK62vhL7NC1vnwacvrDrs1/xP+AT17zcHREKGQBqga/nkuwYqGMci6apNJoYsq0ypkR5HE3AkcNByhgu9BlOCc3EXLgeT49RVs2tUYHzMN9rOkLd5M3b3NvKDp33rmCH7tC1YHOb0xk0fLYG7B5mzg/FvpV9QZEPgAbDknnYSjlUGcObiN7mT74xWWq9hV15p5udJnSsOs4+v4l0BR2cTkDu6yLvsvkk9zZfacXKYylvk6ZqCsVMdo/AuRYtPeE5tizS+FYuIu+iObl8N2B7WBXADVR2sR0vmVvBXtixRFMjpOmq+JhtOjtDPWQ3pPawUMjomazITgLOUcbYYdO8zR8hn6eYC2i2ewTOonTT3H5zq5KMdmQeOwK+rwjVpZQXF9hqbgXlsVNJZuPCctWuLgmgCIp8ADQBOZK3acFkyVm+5jZY2DEIMW4NzBNdngDbThmT3zjnjQ1eMGjIunIE3HXLC3K2wWs2HtlLHcHuwudY3DkTLtCOpUYKn2NhB6xAG41Rdt1mUrfsssUJ7TYpj8dYeazlCkXAuZvmnaFekmUP2Q3Jk7NDZ2DZaX+4EcFOLgk8Nzfn8pmveeCs68rO1sIGcke4aIcOpwTn7FuFguJe02zM13U8E6O0AiczJ2Jew3OjCTeoA3vS/P96AFyIZNi0cAczd3EC+8MLcrsU+UwLO54oJTLjTT0eMDOcsLAzL+7YVgqAWukxXdvDiaIaDDgHtlrV81arXLjlsHU7b5ppiVxjAnCIMiZUVKQ0k85gD8lSriDESrCx5HCzDwm08txqTjd5ly8gude+4ynIw8oYRRXqS7uMV6UNn5hbOZF4OkpZNV1xfW8rAn6S/F6eYJE+XlTyALurju1RhAn52ijgLe6hoeHTmThlbgVQ5AOgef7m+YIR1Hz2xzu/j3z7LCep0x52in5vkNoDRSu+YZONGnAGnJ8RNVkX2tnXXMrbtLCST9fsYasGKqONxEjdOUSaDTJjKtkP8cLOKBYB52BekHNuGVvg2RV1625SXtxK2nAx7xTYtBhrM5cEVnyZc/nQlOA8+P5i3oiyYx6fATcOcnwDxzgAe6MZm+bhIEmyPe5/ZtvsaHKEFBWNLU7DPFZx85TP4yc7wspRCS5UjsGzoI+8KxaSp7uD7HL99LQVxyvMrZzJcEk2u33nVgBFPgCaRiGXL79wAPZGTHBttBA3q2PQwek8RhND/N8vPuZFnbloazdE17LXQ6RppCfQwWlnVC7y7R4p2ErZAe5MljgYgogULUux1FizDwnUiFM2zZlCAxXshe1NKsM+sFxZIyloD2XMBOUxLPAcB+e+sr0ww/edTrsqY4CjMOZUsk2UMUZRyJsvCunEto/I5XMaTto0F64u3KRuA/tHMDXciMB20FLQb899KzSnO45UNkFJk3NYt6loC+wHRmkAmvXP1x0h76pF5FkyF6+BjbGr97z55sobUdwVD5yDuTBr1zw+Az425Ig6JDMmkWsasYu1MOP1+KgjVMzlg/LYWXAuWa4pwUEbUfz/kEyTns1t9gP7UVDxCWWMfe5/ZnXMaGIQuXwO3jTn+45X9pKd0dMZUrYPkLIDBRpbw8UNn9c2quOCOsZ0P0bDpwPz+OLOsb+T2sPk23sZeeajcQLMztVlPB1FLp+Dmz3ZfjXky621gD1BkQ+AJsGLBZk3N2y8uQ+IlJd2UPb5jSJs2k6YF3ZpJYlcPodRsrCz+aZ5eS4fCsr2hIsarLbk/FCyUfcmA5sW5zKWGhH5ZAznlXWGesjOSF6vKBwxsEO3L4aLhZ2UMQxf38jla5W5lf07zTnnTRscE/bCsEO3d2yDd6+lJLXbp8hXXhhCA5WzSGbjYv3ulLWgcDTCnpXtUQdGSNk2YKvYBibsb0cun4NxUkMCQJEPAACmVPGxMkbPKCJH0U7kcvmKXutY3DkHtpIaSw47arLEHZxSwEcS2wxDNWrvTXMbNo8gl681FnadoV6RW2Z35HyOqB6NN/tQwGSqY5vl8Rkgl8/hyhiztbAT5lbckODxCOtaQ4kP7IkdixzI5WuNuVWbP0IBr70aXqa8f6fsVUACRbSRcdKGxojS9sroRC6fs3GStTBAkQ+ApndwKlt3U/aFLVDH2FUZwwUNLvAFfGRny07YtDgHtr7j/AzGI3tFrobd4QwG3+ql5F3YL7z+gf2w66Y5g1w+5+K0TXNz5jEr8O1que12PIvmkKe/m6SwffL4KjklIJfPOcTTUcqqmcLnXQ7I4xN26HmnBC2GpgQ7wrbPdnWwiAQ7ySvn1qfI5XPu3MoJzZ4Mz6eU5zdRdt0W2KHbEF1VCwVYyWYuCeXFIeTyOYeMkhLzKwMU+ewPduoAaOp/oEza6HguO8ZmsnpgtpMK2a57s7yDE7l8Dl3YhftIlnArBrODN6AKGVc2s5OqmMtnyqQE9kXXtbLxyhkbUWxXy5bo3KSj28xqGxiFjTbyzO+1ZdOI2V4YuXzO7DTn5imfx1621ZNhZB5DeWxPlA3bKbtmI2k2VFpKklxSIELDp3MwO/A4ZW4l7te+nJuDFks0+3DAJPtWkt+XmwPbeG6FXD7nMJIoZgaz4pitV4G9sd/KCgAXIclSoeMcizs7K2Ps1w3FmBd2yOVzDmZlgFMWdgacGSPUMWouowvYhKySey9LJAXtp4ypZNkJ7E80NSrshRmJJOoM95JTikieBX3kXbkwZzEMQA0gl8+ZOC3r2ECKhHiAJT2dJT1dVCKC5qMrSu41UVWxcW5HShs+0UDlBFLZhMjkq+TMY3fQlOCAIp8NHV0Y5PK1RkOCHYUPoBQU+QBoMsYGFDqi7KiMsfdkKVCWy4cOTvujaSqNJYccZ9FioGzYJt50dHDaCt588u2znHx7LBHNI3bE3MHJigu72l+BypvmHaEe8sr26wyeDLmz3bYqfLej7h4R1oR2tVLN5fIVC9pQHjsvj89JcyvJ4ymsM7AWtOmmOavDbZbNXmluFU2OkKLaK4sLTMQ8VoV8bRTyOacZScpnHmvjCdvew92KZvPm9Fwun8kOHa4ujsCpcys3gyIfAE3GyGIQlp2GGgM0HWGfypNXjywWd3bF3P2H7Bj7M5YaJk3PqeBkyUOdwR5yErxpzmhRZMfYcfEk2TA7tGIun5qhWGq02YcEWjCPD9gbnueqO4dIeWkHh0jZFrM6Bspj+8OqGHa0qJSr6BR1jB3t1dxOcdPcns2elXL5RpNFazXgANWxw+ZWouDNY5UGO3Q7wQVXI/rHWKvbEbi6OIts2XrdPDcG9gVFPgCajOT1khTOddxg49w+SB6Z5N5OkrsitlYClNu0QB3jnIUdKwVYMeAkpHxTAneb41oDtYBcPocrYxy2ac5whpKydTepQ2PNPhSQx8hIlEIBMc+yK2Z1DOeRsAofOMNOqi3QQX6vPZUMk8HrDe9eS8nT19XsQwEVs9ntez2V5/Kh4dNZ+aFOm1uJhkK4UNmPjCLUxqIA67dvw0hpLt8YZRT7ZZ0CKsmlNuCcY55fAftj39UVAC6ikMsHCzzbIAX85F3YL97sDHL5nMWQA4PWzYiGBN6YVbXC5gdoLpzjk31uIylb7F/kRwenc+DOTe7gzCFRV7iPnIaeypA2HCVtJNrsQwEOUsZUzOVLDTf7kECVRT6nqfgYttm2c0OhG+HsaUMZY/fxCrl8ziGdTVI8Ha1Y9HAKct6yU4/Gbb/ucAussPTtvYy8eyy29b2kPJfPXPAG9mMovqvwMfL4nAOKfADYxN+cbdbsbAsJyLa5fOauGuTy2RdVU0s6onrb5pLT4IVDIXQ9BstOu2yaswWensnYemHHIJfPmZvmnaFu0cHp2AaqBOzQ7YITlDEVc/lMKnxgL3iTedi0EdXjwLmV+W/R00ZzBbBFHp/fZ3sr1dJcvmHk8jmk2TPoC4tMPqchtYdI7u8iz2LnjrWtil2zQyfL5Rsx/T8Ae68Fnbhv5VZQ5APALt03q5eSZ15xQwE0D94wFxvnDgmULu3gxEaUXRlLDhXy+DycxxdyVh5feQenFk00+1CAedM8bO9O84q5fGnk8tmVVtg0541ZtoU0LIZBc9EVtVDAsLsyZmIuHzai7Eo8E6O0yfLLicoYQ3mcXbORsi9ugzrGBnBxzzOnm+Qe+9uTIZfPmXMr3jS3e3NeJSRZJu/8PpLbQ448/lZDNIc4SFFpdnXBvpV9ySjp0jy+dmeuBd0IinwA2ABMkOwFZyMq67eRsnEnOYGS7Bjk8jnC8qCrrd9xeXwGUiTE7n1isxYd581HL9jf2VsZY+TyRULdFTMqgX3QdK3EQqfXoZvm5bZSwCZjVcBv+27zcjt05PLZF/OmeSTYRX5vrrDvOPw+/i8hYpvIBOzQ7dCAy823XOizO8jlc6i1sIPnVsA+8P0iu+YlUrYU74V2Brl8zmA4URyrOOe4zR9p6vGA6kGRDwAbwcox7jZ3UjdOK29E2d1OqtJGVEpJUjKLzUz7Wx44d2EneTzkWTiHvKsW5TelQLPI2XRmc6+LQ8YrZMfYH7b7UjWlsHnoxDw+sx06o407R53fqrBtqpPGqs5QL3L5HECrbJpzLh8y2sFMwdzK/iQy4yVrdCePVwzvWSnbBkhXcvNF0ERHF1XLvTmAXC5fcR6IXD57Mjxeum8FUYpzQJEPAJvAhb3s85tIeWm7sGwBzXsdCjkMDtmIKs/lM294AHugqFkaSww53v7OwNPTQXI4iAmfXZQxoYAovjoBcxYDL+zQ1GI/zPeQrlAveWR75xFNp8YQeUqaVvh/Ac1BntdDvj2XkKe/yxEvgQe5fA7J49vdMnMrI/OYHUVA82CXCn4NdDVnse+0uRVy+eyJeaxiVQxn8jkZdecQaUNjiG+wjaOL/W3QGS4WdZe5UAH70QqxDW4FRT4AbHTD401zBrZSTSSjCHUM2xFK+dfDCfSETRvnmCzZDrb60tmGiS0LZR91BJ2xyQnsjeawhgSmW4xVyOWzM0MttGnOcyspEhb5SqTBJaHprwUXXQN+cmJ2DDai7AfnxWTVfM4jSSVzYSfCY5WwQ09lCip90Hi00XFSNu4gdZtzLMXZqpbXFwyvN0aTg80+JNCiqmMDKI/t0eiiJZy3FixVHjtnnHULqWxS5B230njlJlDkA8Bui7u8/QFoDlrCUMYERbC0U0Aun7MWdmyB53SETcuW3eg4byKsUJKCAZId0r1p5PJ1IJfPtqiaSqOJwZawFjbwLOgj7+olJHe2N/tQgMMwq2OQy2fvuRXfV/j+4mQ4q1IK5+7nUPM1D81hyhgGuXxOUB23ljKmYIfOUTNoomoKwv2LbTplWbi6OAXk8tkb81gV8rUJi1XgHJzrv1Mnnvzvc/TjX91Iz6xZR1lFoZVLF9Hb3/g6OvXk42p6nlv/9i/6whXXTPr9k49/JV156Scrfu/FlzbT93/+O3rsqWcpkUzR4oXz6E2nvJrOOuMUkh1UdAC1I3e0ia5BDtBlNZmwmAINxbDqdNKmOWO2PTBy+XBDtg+lCzvnb5oz2niCtJGo6BnmsQs0Hs+cbvHmNLiDk+2kjE3apb17NvuQQJ6x5BBpes6izCN5qDPU4/hz46SGnVZFHRglPZkima2e251jUWbk8vH/BL+NpYbzamRgB1pt09xQx6jxJOnc8NkH14dGw8UKXoeL18JByhhjbjUQ2y4+hquLvWBVTFrJXVetshYUUQFeD+mKKiwjjWZ10HirTh6rnJSZZuTyGf8THN8wr2Nxsw8LtKjq2G2ggmDijnsfpE998SrSNJ1efsA+1N3ZQQ89/gx9/mvfpXUbNtGFHzqn5hO8etUyWr1q+YSvv2zvyhtaT/3veXrfJy6lVDpD+++9By2YN4cef3oNfeN7PxPfu+qyCx01gIMZqDJCAdKTadEVxblXoFm+5s5a2Bm5fPF0tHBzRpHPHrCVVDQ12nKTJc6O0QZGRRYDd6ji3gRqUcdsHHpefDySz+XD9WPDPL62fpJlZ2Q9VoPoNFeUnHUnaCgi34o3AR1U4DPn8hn/FyPxART5bIKma2JjsJVUx4zc2SYyRA2VDGgseiqds3b2yEQOshaeLJfP6erWVmxIYGtVv9c5qqup7dDbSB+JkhaLF+w7QeOb052kOjbn8u0c21yYW6HIZx9Q5HM2KPLlGYvG6JKvf49UVaNvf+kievXRR4qvDw6P0tnnf46u//2f6JgjD6FDD9qvphN8/CsPpw+9521VPZaVg5/58tWiwPepD7+H3v2WU8XXE4kkvf/CL9I/73mA/vT3u+n01x5f26sMnKfmS6ZzuXwo8jUcz+K5uY0ohxX5GM4iMYp8nB2zqHtFsw8J5CeurHZj/J4AtQc6W+K8iMxK3gRRVdH17LQFhtPR01kin8eRKqViLp8uiuDj6TGx6QGaz5BZGWPKzGgJe+FNO0kK+cm3clGzD8dV6JrmWGWMkctnbHjw+xX9+zT7kEC+iKFqSsGqsCvc1xLnhTMrPfN6m30YrkUfN5QxIcc1Hxm5fIqWzefyDVFf+7xmHxYo3zRvobmV3BEWri46N3zOR8Neo5HCAZIU1aH7VsUiH5TH9iGRGReOYK3mkuAmnLczVCduuu1OGo8n6LhXHlYo8DF9PV30iQ+8W3zMhb56ctd9D9O2HbuE+s8o8DHhcIg+97H3NeQYgI1y+caTYmMENBY5HCRPfzdJHuepF8wKsaH4bqGOATbbNBd5fM7aNJgMSZYQut5ElC07KfvsS6J71mmU5/KZ/0dA81A0hcYSQ4XPe9tbZyNKCviEOoa7ntlaCjQOPZHmQCJh60UOVFEil88BquNQL3lk9C6D2WM0JDhx03xiLh/mVvbJ4zMV+VppbsXqfLGu1XPZcKCh8J6Vb+VCx8XMVMrlM9vZguZhHqva/BEK+px3bbkdFPny3PfQY+L9iccUC3wGRx/5cgr4/cK6M53O1O3FuL9wDEdN+N4+e66kRQvmiry+bTuK/3ig9WC7Ts/8PvKtWpifNAFQey5fWklSIhPDqbMBrWx5wJadhhUbaBy6qglbZ7Fx7jA7qUqdzMPjmNfYgVG2Ts2rjlkNEAk6L+9xMtiiUwrm7LGcWBhvDRt05yljjAIS5/IxnMvH6hjQfLiZrVXnVmwtzPMqZXvOzho06LzrOmmm8crpc6uhcRT57EAsNSpcK3JILWX5LHlk8q1eQt7VS3ONPADUlMtXHGeh5rMHrbxv5RZQ5Muzbv3GQjGtHJ/PR6uWL6F0JkMbt+bCjKtlzdr19M0f/IK+eNUP6Nqf/ZYefep/kz52bf4Y9t6zssXe3nvkvr5uQ+5xoDXhDRBPf5fYjHLiZoiTUXcNkzYSExvoToRz+cxWkFDHNB/uSuPutFa1PDCUx3oqQ3om2+zDcVenuc6FC69j88V624v/C8OJ3SJfCTSXIVOxldUAstRaywS2lWLYVgo0Di3uXGUMw7mU3SYrSMytmo+qqTSaGCx83tticytG2byLtMGxXEMPaBhs5+xZ2C+abp0+t4qmRkzFJWCHTfPOUDf5PM5szpuyiQp7Vg1H43gfBztT8DVjztKF8tguqmOzA1Xrza3cAHwtWB4cT1BsPLfgn9tf2QOfv/7s2hdpx84BWr1yWdUn+N4HHxNvBj+8/g90yIH70pWXXiisQM3s2DU49THMyS0wt+8shoxPxelnX1Dx65u37aBF8+dSLAaVz3QkEtgIcg2qSrRlJ0m6TjqrKB3ajRbxdxeKSrtGt1G3D1kMzWQwXmwM8XuCpKZ1itVBYdnUsYr/VVSN0qNjRA7dFHEcA2MkpdOkB72Ucui93KsFSSKZdNJErtLOoa0UCbSOcsyJDMR2FD5u83TWbZ7YtPFK1nP/N0NZDlqDW0IjYBXSyBhJbJWqq0QOHa/afF00RLmNj4GxHTQvVP1aEFjPWGpIqCoZbkaQVX9dxqumzq28EkmxNKV5f6CvNbKcHYNfJhofJyei6zJ5ZT8pWq64t21wE/WGsRZsJrvHthU+bvd1td7cysBQHaPg1xjWbyfiIt/iOURhZ66/w57ivW0gthP7000mkR0vsU316+HWm1s5hEgkMuOfba0W3RmSSBYv5GCg8gAZym9cxhM5C4fp6O/tpg+95230x59+ix7866/p7lt+Ttd89XO0fMlCeuypZ+n8z3yFVC4qVDiO0GTHkLcZSlR5DMDhxBJE24eI0lDHNIRkJlfg49wehxb4mM5gb8kmCGx+mstYeqjktWnJTsdF/UTL56PA10iMeYuDi6oe2UORQLHZaTRVVGWAxqNoWYpnxireS1qGoJ90r4ckVutzThyoP7wB5feSzjnHPL9yKF2B4v9DLDMq/l9A8+D5rUFHoKflVMeC9ryN2TjW/aB6eJ1RuhbE3KqZsEvFWHq48Hmn6V7SUgyMEr24Lbd/BepPViEpq+Q+Djp3bmUeq9JKglIKrh+7zK3CvkjLqY7dQsso+T76+Stow+atNf3MVz93Ae2/9551OZ5XHHaQeDNobwvTsa84lA47aD966/svFKrAf9z9AL3u1a+ienHr9d+dUuE3m+qw22jGuVIGY6SlFfJoEnnwWtUddTxNaiBAck8HeR18vkPhIK0deELkKqm6QrpPoY5QT7MPy7XEdo4UPp7btbDuYwnG9dZH1zTKahJRIEC+Ob2OzeRj5qQWUHR3bvNjPDuK67eJ7I4WO839ngDN7VlQ96aEpsyt+lKkjURJ1sjR93pH0dMtxi1Jdm4hpr29jdYM+kkR1nc6ZeUUdUcwt2oW44OjhY/7Oxa05NxKD4UoOzwurLl9wRBJvpbZtrEl3BSpbhsQNp1yV0RkjTmVecpCGkrklPmxzAjmVk2EbYUN1bEkybSgbwl5ZG/LjVfqeEbspcgq5laNgONllECApHCAfJ3OVXpHKELhwQgl8i5HaYpTfwQWkc1iPbsy5envmN+Scys34NzZSxnbdu6ijZu31fSWSuVsDMKhYkZEKl25szeZ98NvC88uhDkcDtE7zjhFfPyfR58s/V7+OJKTHUMqXXgO0PpIHW3ivRaLN/tQXIHTM2MMvB4fdZqKeghdbx7JTJwSmaLdT0+4tcOLeRNXV/JdhaB+55nnI2yJw4pjh+bxVcpRGk0OCdtO0BzMOWMctN6SqmNe+HRHyDO3hzw9Hc0+FFfh5AKfsTlrvocPjxf/X0BjUdQsjSWK3ea97a05t5K8XpLCuTWJFsVasO5ksqQNR0ndPkjk8NufOUcpnolRKgt1jB3y+LpCvXUv8DULKZ95rMUScBFqAFo8p/CW2py/L2zO5UPmcbPz+IrjFfL4nEvL3GVuvO7bM/5ZVtlF2sMil2/XwJD4vBz+OjN/Xj/NlqWLFoj3g0NFhYd47rl9FI2Ni99VKfdv1+6c3cICC44B2B85Eibu+9LjKRGqKznYQtLu6KpGet7+Tm6ByVJP+1yxYc5weO6K/r2bfUiuZDhRnCiF/e0U8ucK962IOjRG6o5B0f3sXdSaG252Crj3zO8ThT6nF2JYZcwbHlzc03WNRhKD1NeO7JhmULqwa93/YZkt8AwbPFBXhF04j1MOL/CZi0m7YznXGGxENQ++T7BbBeOVfRQJtm6Wq9zRRmoiRToX+Xqdq9ZwVLNnOOD4MUusOXxtlMzGC+PVwq7lzT4sVzLkkrmVaEhgW25VFXtXEuZZdYXPcSvtW20ZWV9Yi+gtsL51IrHUKGWFWwX3uUjUE0bNwak4ewZjIXvmi2pr1uUGGDNZRaEXX9pMAb+fluULdLOBC3nmjD0Do7D33LoNFX/uuRdyX99zBcLe3bKRK+WvER3+5nVFT6SEHQ5b4fB5dzpmdQxvhmhaaf4naAzD4+5Y2DHi/0bTxUYUciDrfK59XvL0d5FnjvM3NuUydQyUx82BQ9bH00WLFnRvAmsurAxln32Jshu2tcR9wTy34v8X/r8BzW1I6G7rb808PlPDJ6Nn1Zb4H7Izel4Z0wqb5uX3cfN6BDQOVVOFXWele0irwUUZuaDmg/K4nrBrjp7OF2Pyam8nY14HZsrWI6A5c6uOULdwBwPOpHVnxTVy9BGHiPd33PvghO/d98BjlM5k6IiXv4wCFmTfGL9j7z1Xlnz9VYVjeGDCz3Dhb+v2XbRq+RJaOL+1N4tBkcJkCTYtdUXPW/e2guWBYQciSznlJ+cAGKo+0GjLA7P9Xesu7Ao2t7IsVMfCThKAKukxWa2Z/2dAcxZ2QW9IqABaXb2vjY6TuiuXBwnqqIzJFyZaoSs77I9QwBuq+H8DGof5PtHKm+aCoJ98q5eQb8/FLfE/5ARljNNjGwx624v/G6zkQ5G48Ywlhwp5fLwuN8dptCJyJOdYI5THoP5jVdDfEk5ffm+AOkyKfMytmoOb9q1aHRT58pzx+lcLm867//0I3XlfsdA3NDJK3/rhL8XHZ7/1tAkn8A3vOl+8GXaeBj+94SYaGY1OUAT+4Be/p3/e8wAFA346/bXHl3z/hKMPp4Xz59LaFzfSL//w58LXE8kUfeXqH096DMANuXwJ0jV0cNYLVsX49l4mcnpaAVn2ULdJYg91TOPhLL6UkusKdoWST5ZzNnhQHtcVPZ0ldThKeiZLrYJ5kzaaGqGMgiJxsxd2Lb+ZrKikbN5J6u5h0ZgA6kOrKWP4/8I8XmFu1XjYSorvE66ZW0kSSRY0GIOp0bNKYV4lhVtjvDL/b6SVJCUysaYejxsx2zrzupzX562MFAmJPEteqxhKM1CH8xwOkmfRHJL7u1rm9JqLSphbNR5N12g4MVAxJxE4j5bJ5JstnR0RuvzT59OFl11Fn7jkSjr0wH3F1x56/BmKjcfp3W85lQ49aL8JP7dx8zbxXinbJPjOT26gH1z/e9p39Uqa199H44kkrX3xJdo9OCxsP7928cdobn9vyc/4vF664uKP0fs+cSldee3P6R93/4fmz+2nJ55ZQwNDI3TiMUfSaScfV+czAeyEFArkOnR8Xr7IiFrAStLOFnitBGfHDMV3FhYZe9D+zT4k126atwc6KeBtjc7gaZsSonGhPG6Vgrnd4HPL2Yd6JEze5bO3D7cD/P/h9wQoo6YLWZbzOhY3+7DcmxljUla2KlKA7dD9QsXPduhSd6TZh9RysGqkqIxpjU1z4/9j+9jGwn0e2TGNxdzhz/cNvn+4BV3TuOrX+k0YTUAfTxbX3Z7W6IHndQf/fxjWd7xx3hboaPZhuYrhcXMDlQvmVh4PyT2dub0rh+da2j62oaej5fatNg49X1gHctGpla247UY0OUyqpoiPJUmmrnBfsw8JzILW2tWeJVxE+8V3v0w/+uUf6Zk160hRFFqxdDG9/U2vpdNOLlXdTccHzn4LPf3sWtq4Zbuw2mS3Gi7qnXnqa+hdZ55Ky5csrPhzB+63F/32R1fS93/+O3r0qf8JVd/ihXPpnLedTu988+sxsXcZvJDzrl7aMgsO0DjM3eZjyWHR/ezzoBu4UQy6bGFnZMdwuwvbdXJXdKsVzu2kjGmlTXO+z3Ho+s6xzYWNKBT5Gqs6TmZyWdFusmhhWyk1lRHZMTKKfNaTyYr7gChKhEszyJ1Mb9u8wsfJbFz8/7QFUCRuFEPjueY1Y27lloKXsmUXaWNx8q5cKApRwFrEWNVicyvDsrNQ5IvvoiW9ezT7kFwDr7t5/W0uYrgB78KikxAA1cJKVy4u6bomik1sdWt2pQKN27fi2B+PjD0cJ4NXr4yD9t+bfnjlJVWfwP/ee0vFr3/4vW+f8YvCuXvfuvyiGf88aC1Q4LM2h0fdsouUjTtyhQhDgeuRybtsPvlaqKAaCXaTzxOgrFDHcD7cbprbsajZh+UeywOTkq+vvbgp2MpwUY8tRPREKqfm63VPh31jxiuFdw2IuEM26Ce5t7Nlxqu+tnmmIt9OqGOatGnOXf4hXy4LuNWROPN4YCRnh67rrikWNHRupesks6q7hdzmg74QtQc6aDydi2RgxwQU+RrHoDmPzyVzK4GqEWlaLusKRT7LxytWHol8q/ag+H6rzK24KWHT0LpCkQ/qmMbB6249f/PjJltz5hgAMx6v2FaYIzLaguRdsZA8i+e2xHjFRaXucF9Brc8NnyjyNQ7D/ctN+1atDIp8ADjoJs+0wo280eipNGWf30zZ9VuJUpU94rMjMVKe20jelYvIt9cSkoIB52fHmNQxg+M7UeRroOWBouWzPSSZul2i5GO4sKd3tJHc7o5CQdPGq0efI+W/61tmvOKxygDqmOZ1b5oV4K0ONyRwgw9vnrOtpJTPFAXWjlVqLEHJrbtbZqwyikuFIt/4LlrSA3VMM1THbiryFezQY7BDr8d4ZfQhqNsHKfvkCy0zXvW0laljEkPU3QZ1TCMYKptb8evgpj0rfTwh4mZknmsBy+dXqohvGBLNCa0yXnFTglHk432rVXMmRmUB61HUrLg3uHFu1aq4524DgINRdw5Rds1LpA3nNhVA9WgjMUr+7SHKPrth0k0oA87n4cfx4/nnWkEdY2CoY0D94YmpQVeoj7wusjxg2zvPnG6ReQVqx63jVdAXFuqYSh2FoH64VXVsNMKwZSejx+LNPhzH4daxqtyykzek+P8INFh17I+4RnVs2KEzeiJnhw5qw63jVU4dUyzqsZoPNAbzPNZtm+bq7mFSNu0kbShnFQtqw63jlXkNYkTNgGaojrtw2h0OinwAOAG2Z9N10cEJapwk3fGIsA+sBX48/5zTJ0uV1DGg/pgX0X2m1wCAqcB4ZW5KwEZUU1THLsu/kFkdw/f8dO4cgOpw+1hlqGMY/v/h7BjQYNWxyzbNhR163qaTLYZB9bh9vDKvQ8xNiKB+8HrbvOZ223hlNFBp0ZwdOqgeN49XkWAX+T2GGlFHU0KDMN8X3KY6blXwCgLgpA7OeJJ0NZ91Aqa1OUjd8wTRTDtes4r4eX4epwJ1TJOC1l1uecD5JupIlFQoj6s/ZxivStQxRnYMaGTQeh95Pe5S4EqRMPn2WioyeUF1YKyqoI5BU0LdcbPqeEJTAufygarAeFU6t4I6pjG4WXXMSG2GHbpac7HKzbh9vDKiZir9H4H64WbVcauCIh8ADkAK+MUbK6l1dHBWBfuYz3ZiyT+fXZvLtHMq5ps1NqLqD4LWc/836pbdpO0aRgdnlWC8KlXHiOwYqGMaHLTuPtUxZxxLfncVNmcLxqocUMc0Frerjgu5fFzwHE+SrqEJphowXkEd0wzcrDou2qHnG9SjUB5XC8ariftWUILWF7erjlsVFPkAcAhyR7hgfQCmD3wWQcUWoLy4VTyfU0F2TGMxd53xueeFjtuQ2kNEsiRyYzgrAEwNxqscUMc0FqiOy/4PNVhKTQfGqiJQxzQWt6uOGSnoF2o+zj3Ox+eAKcB4ZVbHlGa0g/oB1XGZZSeiZqoC49XEuRWiZuqPWQDQFuhwneq4VUGRDwCHIJkmS+hqmRp1y65pg4qrhYsU4vkcCrJjGsugyU7KbDnhJiRZJrnd6OCErdR0YLyikiwAA2TH1BeojosbK8pL2ym75iVHN/Q0AoxVk2fH8P8TqB9uVx0bxRq2FuYiH6uQwdRgvCpSaoEHdUw9geq4aIdOUm4fRc8g93g6MF7lCPpC1B7oqHjvB3W26jStwYGzwQwRAMf5m2vwN58GZeMOWz9f49UxfYXPYdlZP9juIAnLg+LiTjQlQHk8HRivqGLOErJjGqk6nutK1THDm+ViA0rTSB/HeDUVGKsmz45BU0L9gOoYzASMV0WgjmkcUB3nkLweksIh8bEWTzbwFXAmGK+KIGqmcapj876gG7OOWxUU+QBw0IaCp7+bPAv6kCEzDXoybevna+bibnDcuQVLu2Pe5HO75QFbShn5fGzbCSYH49Xk6hg0JdQHdgMwj1duz2AoOCVAeTwlGKtKKbfAg8tGo1THXeRmdEUlbSRGehrqmCnPE9aCZeqYzsLnsOysH0OmdbZbVccGvGflW72UPN1FZRaoDMaryvtWQ/FdpGkqLps6ANVx64IiHwAOgi1aPH1dJPm8zT4U2y+A7fx8zVbHZBRnFy3tirmA6nbLAx6jpFCuWAM139RgvJo8OwZNCXVUHWeLVrpu794sZB7HEijUTAHGqlL6yrJj4plYfS5Ql1M+t5Ikd29fsK2bsmUXaWPjzT4UW4PxqhTzfR5zq/rA6+vR5HDhc7c3UMmhAEkB9+WnzgSMV6VRM3L+Pq9qCo0mh5r2urQyA6a5lVuzjlsVd8+SAQAtaxFh5+drhjom4A0WPoetlPVwl5k5k6c/Mp/cjqHmo7Q1+ZitCsarqTaioI6pB+YNPu7uD7pYdcwISym2Q1dUxyv36wnGqlICvpCYXxkMxuCUUBfVsem89mFuRVJ+bgXl8dRgvCrFPLcaiu8mFeoYy2HVEbtQMOxK0RHstv6XgJYE41VZ1EzbnMLnA5hb1QXz3Ko/4u6GhFYDRT4AHAZb36nDUSzupsBQENn1+ZqhjulrLxad0MFpPSOJAdFtxsiSh7rDxcmpW5F7O8i39zLyzC9mQoKJYLyafCMqrSQplh7FZVPH7k3zvcGtSLJEcj5HVIdl5+TnCXOrCWBuVV/G02OUUop5ThivqDhWsR26w51G6gnGq1K6w/1i85zRdFWsW4C1mNfXPFa5NevYDOfxcd6csg3X21RgvCqlH/tWdSWtpCiaGil8jrlVa4EiHwAOQxuNkbp1N6mDY80+FNviXTbf1s/XDMw3b2TH1HfTvLdtDnlkZ6s/rUDyemEtXAUYr0rxe4PUGeopfD4YK2bHgdnDzQgjUB1PQEYu37RgrJp6I2o4MUBKvtkHWIPZeYJVMWZXCrci+X0kBQ079KLtMigF41UpsuyhHpM6Bsrj+mYdQ3WcR9NFY7o+Ng479CnAeDX5vpVo9skmLP1/dTvmXNagtzSzFTgfFPkAcOhGlB5Pkq5qzT4cW+JZPJco6LfkuaSgP/d8Dqe3fS5JlOsozKhpiqaKmQFg9pQs7KCMqbj4BZXBeDURqGPqB9sKa3pu7sBd/V1hKG0ZKRImqT1EcncHxqtJwFg1kc5wL3nlXI6Jrmsltt3AemUMKM0R1aPY+MR4VT1Qx9SPWGqEMkoq/5nk+mx2A6ktxBVmoTqGHfrkYH5VStjfTiFfPvYDLlT1dXSJQHXcaqDIB4DD4KKTCDHWddLHsbireI48MvlWLrLkfHtXLRLP53R8Hr/YjDIYgDrGMpKZOMXT0cLn6N4soqezlN2wjZR1m7FxPgkYryZi3swdTQxSVkWuYz02zXvb5hbC7d0O56H4ViwkT38XLLYmO0eYW02A/3+4icpgMLa9bteo21DULI0kBgufY25VIZcvliBdQxNVJTBeTT23imdilMiMW/gf627Mm+ZdoR7ye50d9WEVsEOv8jxhfjUxasaUwYt9K+vghjSzkg8NVK0HVvYAOBAJtlLT4ttrCUnh2dn68M/7Vi+hVgEdnPXfNA/7I6L7DOTxekiPp0Sxj9Io1Ew9Xs1uQ6CVxqvOULdoTGB00mkovqvZh9QyDGBhB2YB5lbTKY93oqHFInjc580oxuvxi41zYMpv8nqINI30VBqnBeNVVYT8bdQW6CiOV7Hi+gXMDvO5REPCRKcEoykBTA7mV1PYocd3FVxIwOwYSw4XmmfZ5YsbPkFrgSIfAA62aREdnLDBqwjnVQSPPZjIlwsZrxmfl4LHHVzIvWi1jaix5BBlFGwMWG550D7Pkudspc5EuT0kPtZgKzX5eQoGyHfQavZPnNmJbrHxSpLkkv8lbERZQzwdo6Spc7/f1CULcuiKQupwFHbok/1vBgMUOOZAjFWTzK2S2bhQyACLrTrb5on7Asj/H0oSeZfMI9/ey0ieZUNjq49X/kP2EnaBM6LF5lZMydzK9D8GZg6vp0eTxRgMKGMmsRdOpknPIrd2MrB3VQpniBpuI4qWFc4uwGLVcbifvJ6c5TxoHTBbBsCBSOGcvznB33xSuPgpdbVT6MTDalb08eNDrzmM5K4ItRKRYBcFvMVzMRQvSvXBzNA0tSSDB5vmU9lKxXGZTXYdJVKkxxLkXbGAKFBbnmirjldQx1iPeUOPQ9aDvtzGCyiivLiN1K27YYc+xdyK1dlirKqxiapVx6qgLyTmVwZoSrDmOivJOo6ggaocbqCSZtrI6BJ0TRMNsd6VPLeqbSOzVccrszpmKL6bVE1t6vG0Ajm3iZxtrt8ToI5gd7MPyVZIXm9hL0aLYi04FXJ3BHtXeTg3vLttTuHcoCnBGsxz1H7MrVoSFPkAcLq/eRJqrEpou4ZJ3bhDWESEXnsE+fZbIfIMpzyvQb94HD++1RZ1BX9zs60UbFpmDefFqFquK1GWPNQdLk5GQY7CWMW2nQo2E8rhc6Ju2ilyVj1zeih0ypEYr8q6zdNKksbTY/iXslIZY7oXgCKwlZoabThK2khM2AUGTzgEY1WF/ydsRM0ezjlOZYvWbhivwEyQZJm8y+aTZ14vhV53FMYrIuoO94vNc0bTVRpJDODisnhuxett8P/t3Qd0Y2eZ8PFHxUXuvdtTk8lMei+QAiEQWiALbOihLWVhA0tf4KPDAmHphE6oWXpZCAsksEkISUiv06vHvXdZVvvO88qSrmbsGRfJ0tX9/87xseQi35Gtd97yFEnhrigVV6nP9D/G0SLjUxIeGjMBLuagj72ro4ISBtm3WrVAaFYmZkdTxivkH8K/AJvSBYuntZ7J0gI0Siw8EPsPzD3lF3dVmRSefoIUnLJJwof7JXSwN1YyIhQ2z59uVplFYHujKS+Yz/Q/8+6xA4neTNrvhBJIKzc42ZNSVsLjZvFyJFdhgTlAj87OmWw1V3X+HaCvlC7mQp19pnyNq6hAPO0N4vJ4GK80GtpbLBW+GpmYL4GkrzVrtgyWJxQJkXW8xI2oyPC4RCemYxUB2KxLjleBOQn3DCXnoLWV5o25VSwo4cDQDvPcjMwMSigcpATSKgxY5laaFWOtQoHU9Y6OVxqc4Knj/8cFx/SSYnF3xIKGWAtqISCPWa/E1y/6nlYDK6fraPrxHZ+7vko8DWQ4Lvg3NDsnocMDpseqrgF1nWxKDbN3NX8I9ZB5njTY0z83bXqLYmWsY1WR12equiD/cMgH2JRuCONo0UBQQoe1bIaIu7bSHPAlnjNPLKJT35yqtqzRNNmNSlSCYe0hMGyiOrF8ugE8MJXciKovb+FpPMbGeXh2zpTs1AhFJDOOo1N+TQM1/XV0cRfHeKURnC2JQz7d9N1Yv40/nRUanupLNK33ugukqqSO53IBrtJiUw5dg4A0GGi55b7zWmGBeJprJTozK27LgQJjlfY1qROvp1BC4bnYpu90nzRVtGf112Vng8ytliQ6FzTlKF2RKId8FuHRCXEVFS7Yr5DxKja3sh7yndR0JgEtKzTuH5G5cKyqkq6vOTBdGAFTi4zh4YiEtJqLHvBppqNl34rxSqS0qFxKCstkZr6fuM4NOmpOWOnL1fGsAVS6b8XrMj/ld8oK4KDDBsR6L5iJUjhiNuY8zWxiHqnAU5hS39yaiYblmZ6bFP/8pFNxyHfsvnxattNVRg+wOD3wjGcce1sbTEYxUjVYDs7H/cOmzAhWxjrWa2RsvJk9jhir3O5kieHJZLlAxDbpNFvIVD0gwzGFvp7qLSWGmVut3FwoIGMzw4n7zK0W5y6PZTREZ/yUQ58Xmfabvqqhfd0SnaWlxUKsryl/cJpy6GnaNK8qqTfrbCxOA6i0Dzli+3emB3RgzvRX9XYwtzreeMXcauUikbAMT/ctuMZGfmGFD9iYTpKC+7pi/ZwczkyUugdjCzqvR7zrmkzvQhzN+p+6dXGC5Rmc7E7c1jKCvgIOsBaj0dTeDS3iqangz2yeBiJohqPJOCa7cUH6uir2+hL3hxivVvz/46ClZwyb5kvsyzcxzXilz8PopETDyX6qHPAtrL68NaV3jGb0YaVZfNFEOSkt14lFxqqiApOxpk9XdIqgBC19Hu7sN8+Hu7JURJ8bHKW4IPV1xcb5ylmfOzbNj38AH9x+wOxbEaAuptSy9uITl4hHD/gKKLK3kAbL3Gp4esCUQ8fyjcwMSDgSMrfdrljZZuQnDvkAG9NDrOj0rCnVoun+ThYZmTAbUcpEQjFRWpR1g3c6MJEogYDVlTwAlkNLc3rWNYmnhYzjRZ8jlyvltUVQwirKSc1nQWo5qfpy55asXgp3xXwm33zvXifTDSgtgR7a2+X4eebxaJk2fX2pWDn0WKlhrHzTXMcqDpWPTYOFzGvV4UEJ0Yj2OO6f73FcKB6tkEDG8aLIjlk97Q+mfcIWek5xNFOxRPeugiHTh87JIlN+CffO9zhurhN3aTKgEQuUQ3fH2hRp8NTwdKwtD5bHuobW9j0eN4fK+YpDPsDOigrFVejV//EkOu0Xp08c9bnwNNWKm5KAx6S1zUuLkhlVRHCuvpwU0ZtL7x+jvVKcSiNXtUxnPIJVN6DYhDo266aJLuzCEWcfuqyEdYzXxTLlpI7N5fWa3r0F29aLy5vsk+k0ugkXOjxgbrvKS00vKxyvHHqyxzFzq5WVkxqa6lswOxILc80HJZiATwe3bwj3D8fWwm53rJoL49UxWdct2p+dcujLN2Cp6FJaWG76h+E45dDn92iiTg9KCMQOOd1V5aaiC45dDr3OEpzI3GqFFV3IOnYMVmuAjZkN4vl+DE6P4DTlAE9oF3d9VbYvxRYo2bk6Q6b0XWwzpdBbLBXFNWn5veQzzTYO7uqU8OFY/wGnlmYJHeiN9WBw8GbcctSUNorHFTto0TIjI9OxQwesbCOKgISlZ8foYZ+Tx2vT4zgSEVepzwRQ4fjqy6y9Y5KvOyzNyMxgSjmpWspJLan0t+iBVjhiqrs4UWRsSiKDY+a2t71BXMWU6Tye8uJqUw43bmgyWdIbK8k6JotvqT3azWt20tn7Vp7aSvFubBVPaz3BnktgXbvo64419PJoxvFscGbBuSryD4d8QL6UlXJgBKf+e63lHrT8HVkxS2NdjIxOD0gw7MxDl7SU6ixr4e9uCTSq2lVabG5HJmYc2YsiXprFVVzE38wSedweqS1rStwngnO15aTIjMFSehzHgjG09LkpgU6P42XPraYoh75s1vGdclJLo+sed0WZuDRDxqGtyCMTsbYDnvoqcVeWZftybIFy6KujfcE0KCGOQ76lcc/3PI7OBEzZTieWFY7TEp1kHC9NXVlzohz6XDgg4/5kNSUsb9+qwlcjRQWUh81nHPIBNqcR1lqaxIn1zSP9IxLcc1jCI84t/7dSVb5aKfAUmdtRicqwpTwSllJOKhnxSmbMCnrHOCyCU8fncGe/Sf7UDSh3HaVZVtw7ZooIzpVumpdQTmpZdG4R3NftuPFKM441M0b3Uzz0OF4WLdemZdviCEpYeTkpIs2XztNWLwUbWxzb18nT3iietgZxk3G8LNb1y/B0n1nfYGm0rLD2B1NeT6EphY7j08Ah05tvvsSwk0TGJiW057Dj9uvSVQ69qoRy6CtlrSzRQBZf3uOQD8iL+uY+x9U3j4xPSXhg1PQjJMJ8+Vwut9SXNS8Y4YNjGz2ynFRZI0/ZciM4p/0SDYcds3EZ6uw3B32uokKzEUXG8coP+bTcyGQgVpYLxzcwlRzbCUhYnqg/YMaqyLhz5lbRSEQiQ7HMT09znWMPDVbDmi3LId/SacaxP5h8rTFeLZ0T5xSmmoulv7GnpsKRz8Nq1JQ2pJZDn6Ec+lKlBiQ0m75hWF7Ap5P2raKzAQlpq4bAnDnsw/LRamZltN/quH8kcb++glKd+Y7/jYA8YDJDtH/MfGRUvtMJUuhwbCHirqsyTYuxyuyYyR6JzEck4tj6LdFQtdovzO3cvk3LpYdc+qYZbVpi2AnCfcPmoEAzrr3rmijNsgJF3mKp9CX7Xg5M0OtqKbQMs7WHIeWkVhiU4KBy6Bo45t3canrwuWvJOF7tRpS+/iiHvvzeoRXaL4xyUssWq+oSECeIDI3F+htHWLuslK5frOXQmVst8W8vGjFVJeIISFged1WZCXjUfnROoEGtsR7HUXGV+cTdmFzPYKXl0MdlZi5WphnHZh3XiwtKpLyoiqcsz3HIB+QBd3W5eNc3JyKj8lk0HJmfKEVMqVLdiMLK1JU1JSIPQ5Gg6c2H4/z9RaMpk6WGCvpbrbSPqBP68pmIzaFY1pm3vUFcxYXZviTbaihvW3AzGIvTssLxclKxUjeUk1oO3YwRt8tx5dBdXq94GqrJilmhqpJaKbSUQyebb2lS51bJ8R5LEx6dkOCOgxLqifX+zWeRKb8JoIqMTkrUQZnWmdBgyTzWIEanBLSsxuj0YCJ4QyvjaL8wLJ2paqKZtwVeZ/Q4PqwZfMH5HsdNzK1WUw69qCJxf2CiK12/prxmXTPreE/Ge/7jkA+AvSZK3QNmsy02UWqkVOcqeD0FKRGc/UyWjkvLHQRC/vl7LqI3V8BVPl+mZSr/s2N0IevdMJ8VU1mW7cuxtUbLpu/k7BgRnEtgHdN1YUc5qZWUQy9xRFkp3TDXQwKsnm76WgOAmFsdn39uWiZmRxcc77E07pJi8z46PWsCIvOVBl2EOvtiPY6ry8VVxdxqtdkxLm3AKiJzoVkZ8w+n6TeVv/onk3OrutJGs54GFhIZHJOIzh+1pLBWc/HGyuNiZRotAZ/MrY5PgxGGp/uTzx9zK0fgkA/It6yR8fxNXddNtsjYlJ6tiEcP+BwQAbamkyUiOI/LOqGsLqmXQm9sUwVL5yotNpGM3i0djogm056pmhWD1UdwllkiOFncHZv21xma7E3cZ2G3Mq75kp2RPC4vrP1htMexRptH/M4o9beWmcdDU32JPr5YmHU8Ly1MHeuxnHLoBaZXuQZR5aNoJBqr5hIKm8oIWu7PCfPITCr0Fkl1aUPiPtkxy63oQkDCSmggQnhozBzY52vAZ2RqxgRQKU9LXSIQAytnXctoQEIgGA+8xkIGJ60VXYqo6OIQHPIBeUJ7MAR3dUrocH/e9idwVZSKp7FGPM114i71Zfty8gIRnMtc2FmiNxsp1bkiuiGj/RhcHk/+Zhz3DjmqvF9WSnaSeXxMw1P9Eo6GE313akobM/3ryUvxMujRmVmTQZKPc8dQ16C57amvFrdDejtnWm1pg3jdseyOSDRsDvqwtMwYNs1XXynBZI7kITO3mpnV/9RiPY7dbGWlQ6O1ZOdEV94euqQDFV3SxKWv5+FY8HZgLn8DL0p94q6uEHcNgSvpUF5cZfrKWQPUsTjrvpX2DqWiizMwMwLyhU4kNLMtohGc/rw9HDCHfHU0jE1vBGey8TUb54s7sskzG1FYSGRoXMKDYxLc15XXJbOygQjOlW2a15c1i8edn4fqmabzKs0+dmtGX54FUKX0OC7zibupJtuXlDfcbo/Ulyf7NJF5vLiAlgicSfaRI+t49UEJmnmcbwc12n8vMjxubnvbG80GOtLDWl7YH5yWyUCslzSORkWXdJZD9+V1j3bTWmZDi3ha68g4Ttdz6nKlzBHYt1ocFV2ci0M+II/+08vHslJamkXLSOVrdmIu1jfPt42BdOm3lGep8NWIzxJJhuXT13Vwb5dpRp4vIlN+CffFNis1IMHlYZqV7ghOX0FsE1MRwbnI32E0IgOTPYn7bJqvjndjq9moyadNZZNxrJUfAsFkj2PK3qWVNRBocLJHIpFYZi1SWUvfaYR+RTHlrVfKpeXgdN4RCscy3vKJ9rLyeEz58/hhJtJDX3eVvtoFX5NIoqJL+is0qchkfmUeRyxjr8vtIuM4g/tWI9MDMheizPxCqOjiXDS0OsJDj+2Qb/7wF/Lo9t0SDIVk07o2ecnVz5KrrnzKsp7YZ1zzeunpi5W/WUxrc6P88SdfT9zv7h2QK1/8hkW/vramSm779Y3Lug44iy56IiMTpnddtCU/ooa0lnlkaMwcXHo3tuTFvykXIzh39D2YEsHJJsvRUkp1WkrbYGVMpPnMrFnceYrsn52rpfzCnX0iURF3Vbm4ayuzfUl5R8d/Ha8ODe9ORHB21GzO9mXlnNHpAQmFY+WPtDRLXVkyowjLl4/zjsjgWKykn1ZI0LJ3XpaE6aavO7fLY8p1hiJBGZkZlLqyprT/nLwq1Vnempevt7WiG8qadawl8KIa8JlHrQ3031VwYnvssA9ppy0Ixv3DiYDPzQ2n8CwfgYou6X9Na+hLdHpWotpnMw9e2+GRCQl3DYi7rko8zbX8f5YBVSW1UugpkrlwQKISlcGpHmmt2pCJH5U3WcdUdHEWVnQWt9x+t7zrI5+VSCQqZ5++TaorK+SeBx6V9//nl2T3/kPyzn991ZKf2CsuvUhGxycW/NwDDz8h3X0DcvZpWxc9zHvSeWce9fHyUrJGcGxabkncrljfGO0HZfPeKrpI1QM+5amrZKKU0QjOGtNnIB7BySFfKi3TOTmbLF9DZszquStKJDztN2Va7F6CVzOOTfN4XaQWF4qnrZ7xKoMRnPFDvngEp5YdxsJZx7WlTeL1xHqDYXWic7GsY1dhHjyf89URPC114tbsH6Sd1+01h3oD8z1jdMOFQ75UwfCcGcfjmFutngYYuctLE9Vd7MxUFgmGEmOuaUuBjPU83t3/aOIwazowKaVF5TzbFlR0SS99XbuKi0xvYBPwWW3vvnURf0DC3bEkD63kQsBKZrhcbhPw2TW6P7FvxSHfAhVdpqjo4lTMlOaNT0zKBz/9FQmHI/L5j71bnnbJhebjQyNjcu1b3iff/+lv5dILz5Fzz1xaVNNiB4KRSESe9sLXmdvPefplC37Nho5W+cR/XLeS3yccztQ3L/WZDBl989j4kC86OyehrtjC31NfLe7KsmxfUl7TjZX4IV//xGEiOI8RDVVaVGHesDq6CaVN16PTftMbys6lLbVEp0aiapksr2bFuO37b7FFBKe3WOZCs7EIzskeaa0mgjMuGo2kZMZodD7SU1VASwzrBrq3NdnH1q48TbXiqiwzQQnIHN2Iih/yaebx1uazTHYtYnT81jFLaWR+dUkdT80q6TpQSvMn41jHXS0nTInOzNIDvbKiSnPAF1/3bKxfOCDdqXR9vFDJQKwy4HM2IFHty2fjQz4N8gxrj+No1GQouhsoO53pfav4Id/QVJ+EwkECGi00eIqKLs7FKmPeL39/q0xNz8hTnnxe4oBP1dVUydvf+EpzWw/6VkszAweHR6WhvlbOP+vUVT8esHh9c/v25dMN/9ChXhNprtmJ7qaabF9S3musaE/cngpMpGStQaRvvNPyXLGwS4uiglh0djQq0Skbj1eRiET9sdKI3vbGvOrblasRnNZyuX0TydcmREZnhswBqHmuxCX1lBZOz9/dfNCUlsCza99azTi29jd2+4qINM+wWPnJ2HJbS0uNTh+7lYOT51Z6IBp/rgBdx2pwha4FdQMdmWdd3zC3SqVr4/gB6JHPFVa5b6Ulml150ON4LmjWtR5dC1J2OqNqShrE64mtt7UkurUPOVLnVrVlVHRxGmbS8+64537z/opLkwd8cZdceLYUFRaaA7pAILaRt1I333K7ef/syy8WN5H+yAB3ZanJJPGub7bvRKlrQKKBoCnLotGbTJQyr6SwLKVEZ994MlrR6bRkzcTsaOJ+c0VHVq8nX+jrOhGUoL2hbEqz9rwbWsyYS6T52miq7EhpLE7T9aTeIxZ2lDJND1dZidmIMiU7A7GynXYT7h2S0L7uRNlRZF6Bp1DqShsT99k4T9JxWyPw45qYW6W3R/DAqHnN25GOUaHOfnPbXVMhnhr7ZvjYdW6lwZ66/sHRm+blxVWUMk1jAFXBtg3i7bBvv9rIwGgsuD7R49j+vQVzndvtIeBzEZFIOKUCFXMr5+GQb97ufQfN+20nbjrqSSooKJDNGzokMDcnB7tWHiUwGwjIX/72D3P72U+/dNGvGx4Zk69+97/lw9ffIP/1te/Jn2+7S4JBFuRYGpfXa0pb2rb0XTAkkSm/ZaJEVeFsLO50I8qu2Qrp1mcpz6KlbMqKK7N6PflWpkXp4shuf2/W63W5XRzwrSEt6VbkjfUR05Kd1sWM03swpCzsKpMZ2lgdnVO5te+xTYMSwqMTEhkel6g/YMqhIztzK3196usUYsqY6vittARzTan9y+DmjHAkVmJ4aNxUR7ETzTYOadm7cNgcAGjfUKyNsqIKc4C10MGWk+l83/pcNFvGdKQh4NOue1b6txGYk3B/rN2Jp7XeVEjA2s+tNGBIe/xCZGi6X0KR2NmB2+WRhvIWnhaHYfdc0++nZ2RyvlRYY33tgk+UfvyJXXult29Qtmxav6In+69/u1emZ/xy4qb1x3yMA53d8vXv/yzlY82N9fJfH3mnnLr1xCX/vOdfu3Bfv87uXmlrbpTJSaKzjmdmxr4l5GytuUpkdk4C4aDIJAfca6XckyyLOjM3JX0j3VJWyIFWz+iBxPNSXZybY6dtxyo9KIuERdweCYyPi3g89rnunmFN0xCpr4qVmsGaqilukt6pWIBW18gBqSpocPxvYNQ/KMFwwDwPLnFLiauS8SqdPCKuQECig8MiPhstofRQr3NAXFr2rq5SAq6ISA7+P5avfK4K83qMSsRsQnUNHpBqH+NV10isn46qKW6UqancOzy39dwqGhZXICSB/kGR8lhAlS30jYhrbEqiuvFfWysynXt/F/msuqgh0bKhe+ygNPg40Jqem5DpueT/mWWeGuZWmaBlee2YBVdXLuIPiBS4mFutocKoT7zuQglF5kxv30MDe6WxjODGw0P7Es9RdXG9+Ge0hUOsjUOusO3cag2Vl5ev+HvtGzaRRjP+5B99cdHC0Re++agMPaRbqd/9+Tbz/rmLZPEVFnrlmuddKd/94sfktt/cKPf8703yoxs+JRdfcLb09g/KG975UenpG1jxz4eDaM+VwXERLXVil+wY63UWeO21IM0TRV6flBcmS3YOTfeK080EJ2UmOJW4X1dizzK4OUsPxzY2i7TW2eeAT41MiktLs4xO2bZ0n93VlSZfixOBYdPvyumGZ5JjdrWvXrzugqxeT96Zz+QT7cFplx5R4bBIz1DsgE+vv5ayd2tNX4f6eowbsrxOnUrH6/HZ4cR95lYZmFuVzo9X07m1uXdMkzOxAz69/uba2HoQa6quNJn14Q9OpRxuOZV1zC4rrJJiL3sUad8DOtQvrr3d9lxT6Z5VQ3L/BGtDe/jWljQtuAZyqnAkLCP+WKlrVWtZK8M58mbm9Nb3f0r2dy6vXNMn33fdsjLjVmN4dEzuuf8R04fvWU+7ZMGvqa+tkQ+8/Q0pHzv95C1yw6c/IO/52OflD7feId/60S/lQ+9805J+5m++/6VjZvit5nTYaez2XGlZiVD3iAZxitflFXeOH5hFI1EJH+o1fRe01Ciyp3Vuvezsi/WfG5ntk1PKznF0T8T+gUOJ29qzsKEmt3sG2G2ssiMtLRqa8IsUFZnSLJ5asl2zoaysTPaMPCKzwVg04FR4VNZVnSBO7sEw0pVc2LXVbsj58SDXr28hwaFJU+7SKx5x5/j1mx7HB3sl4vKIq7xIvJvb6RWTJe2RjYnX56h/QEpKS8TjtlFgS5p1jvSnBJi11HXk9FzTjmNVRDwSmpkTVzAi3rKynH5+46KlZRKOus045WlMVhfB2imXcqkYrZEJf6wE4WRoWJpqnVvuTf8fHelN9g5trVmf8+NBrl/fQoIlU6KVrD1Rl3hy/Pr1byIyOCbu6nJxEYiQVR3uTdI/FSulq4FDRb5CR/cij5WEjwUhetxe6ajfaN7nKjuOVXaQu7/xZeru65eDnd3L+p7Z+Z4UJb7i5McCASlbIDrHrynYIlJaMh8Vt0x//MudEgqH5cJzTpeGuuVPWv/l5S8wh3x33ffQin4+HFjfvKJUoiMTpndMrh/yaWN43TiPzMxKQZlPXHbK6MkzTRXtsrMvNs7o5vm4f1iqSpzZD0Mn8b2WHgzW2u/IwPOt/yd7PTm9CR2dC0pIM6S1FEJ1hQlMQPb+n9Nm4geHdyb6iK6rde4h39B0X0oPhvoy527KZVJ849lVltvzKqWbUDq3ivU4bs7psTXf1ZW3iMflkXA0bF6nw1N90lDRKk5l7W+lvUPtcABlN67SYhG3W6KhsOnF6SpJ7nfkKu1v7G2tt12P5nzTXNGeOOTTudXmhlMc+xqdmB0Rf3A6ZZ2MzPRoD0/NSGRiRjz1uZ0VFxmZMD1Ptc+x98QOW/cUzI8e7T4JhPzzPdoPS3vNZnEq676V9uLL5QM+ZE7e/NZ/8Z3Pr/h7y0pLpLysxPTl6x8cNvePpB9XzU0rawr++1tuN++fc8XCpTqPZ11bLNV2cDiWYQMcjx7s6SQkOjljFku5OjmPjE6aSZLytjdywJdlRQU+qS5pkNGZWGngvvHDjj3k054UM5YyNSzsMifU2SeRsamczoyLRiLmOrX8ncunWXx1OTuuOoVuDscP+cZmhsQfnBFfQe4fvmSCjtVx9eUt4vVQqjMT7FRtQK81Mj4l7tpKcc+3HUB2eN1e87rsmzic2Ihx6iHfbNAvozODifsarIH0c7nd4i7zmWBPXQtKjh7ymayY0clYVsz8nIq5VXY1VnbIrv5HEj3aJ2dHpcLnzMxK69yquqReih06x8w0d3mphGVIojN+E5iQq0FJGpAe7hkyt3VuxQFf9kt2Nla0SefIHnO/z8GHfKFwUAYnexL3mVs5F2EH807ctN6837472agyLhgKyd4DnVJUWCjr25YfGX3wcLc8vnOv+IqL5GmXXLCiX9T4ZCyCyFecmxN05B4TZe5ymcyTXK1vrpGloe7YYZKnoVrcFaXZviRoMENlMkqxd6JTIlo/w4F6x5OlOit9teIr5O8zU1zFsQ3o6EQyWjbX6KIuOhPQ+hfiXddkNtCQXVpCt6QweejSZ3nNOm1hNzDZnXL4CbiKCsS7qU08ZBznBGs1AH296uvWiazjtK+gVCodeniwFrSqi7hdsV7tOSoyMCrhrgFTWpgMvtygwVLWAM8eh86totFIakUXsvgyOl9xFRWKREWiU7Ey/LlGDx/Dh/pMD0Hds3LXV2X7kmD2rZJzq5HpgUQbB6fReWW8VKf2gq4ry+0WM8gcdqjmXXLBOeb9LbfffdSTdMdd90tgbk4uOPs0KdL/fJbp93+OZfE99eLzpWSF5T5vnb+urSduXNH3w3k0skgjOJVGceaaaDgsIZ0oRaIm69BN74Wc0VihpZNi/z3MhWZleCrZO8Up9GDTuqhtqVyX1etxQpkWFZnym4y5XGTKHusBX0ejuArJksoFGu3fbHltdo8ddOQmoS7swpFQYmFHqc7MigbmJNw/IuGhMck1On7qOGotf4fcUF/WbF6fSjditHeKE+k4HafjN1lbmeOuKpOCbRvE05ybFTl0fapjqXJV2aNvoFNY51Z60OXEgM/h6QFTBlC5xEUAVYbFg71zct8qGjXtGqLBkFkDetobGK9yhAnELkgGYveMOTMooccyt9K9PLeD+z47HYd8817wnKeZMp3/d+e9cusdyYO+4dEx+dzXf2BuX3vN8456Ap/7ireYt3g5z4XcfOsdsa99+mXH/GX84nd/lv2Hjl7w6fV84Zs/NLdf8vxnLu03C+iEdL4Xn+nJkmMTpfDhAZNl6Cr0ikfLdLKwyxnasFg3o+J6xpOTBqcYme43B5xKDzzpx5dhRYVmLNDoyKhlgzrXSt8VnLTOlJRB7mipilViUNOBCVNWyskLO83i87Cwy3j/UN2Yjpcaz7WM49D+bgkP5t4BpNPphos14tyJc6uJ2VGZCowvOH4j/bTiQK5WHYgGghI6PN/juLZSPNX0OM4lmrXm9IBP69yqrrxZCr1U1MokVzzgc77VTC6J9I/EMgy1b6hWc/FwgJIrdA/ROpfQuVWu/f1kmmYvDk8nx+hW5laOljc9+VarsqJcPvqet8g7P/xZefsHr5dzzzjZfOyeBx6VyalpeeU/XyXnnnnKUd93sDNWHikUiqXGHunhx3dKV0+/1NVUm0zAY9HDwI989mumdKj24NPBad/Bw3Jg/me8+sXPl8tXWO4Tzo2I0o0o3TzPqb58+v9ugdeUE/V0NOVs3XUn08lSvPzbwES3BMNzUuBZfiZzPkSa64GnHnwic3RscpWXSnR43ERw5krpXi3NogePLh2vTIY0Y1Wu0XKdWlZKe/LFX7tO6h3jP2Jhx6b5GpZDDwRNVp8pMZUDwiMTphezchXnxjUhlb4+D4/uS5SV8s9NO6oUuHXTXKPvS4vKs3o9ThINhcTl9eZOj2Ot5hKOiKukOGczDZ0sFvDZIgOTsQD0nrEDUl+eDAB1RBl0S7Y1c6vM07HAXVMRq0Sle0WuHKqQMJ9d6G1tMH3ZkVv09blv8IlEwKcGFDmpFLg1e1GzGq3lluE8uTHTyxFXXHqhfO9LH5dv/ODn8uj23RIKhWTjunZ5yT89U5535VNX9JjxUp3PvPzJ4jnO5uALnnOFVFdWyK69B+Xu+x+R2cCc1FRVmD5+//y8K+XCc05f0TXAubScgJZpyZnDPUv5KG9rvUTrqkwNduQePdjSQz093IuXlWqr3uighV2yvxULu7Ur2amZMdH5CM5sj1uxjON+ifgDJmrTXbqyctvIvJbK9YlDPi0rtaXpDHHPR6Dnu94jF3Y+FnZrUQ7dVVpsso4jEzPiqc/+gVpkZlbC3YPmtqepNlZeGDlHD7Y0MGFmbsrc17Lgm+q3iRNouT/reEWk+drQ8nKh/T0SDQZja8IsZ/aZuVX3oERnAyJez3yP49xapyL5Go0f8mngp5MCPnXdG473t/IUSkNZS7YvKe/pus/b1iC5RsdM7W+sfePd1QSm5CKdV1WX1MvozGAioMgph3z6f6q1MoTuW2V7DwXZxSHfEc48dat8/foPLvkJfOz2Xx/z8x94+xvM21I854pLzRuQTrk0yGsUqXg8iWvigC+3y0ppicrDI3sTkyWnHPL1TRxONC7Wxay1dCkyx6WHaG632ZDScnjZjpSMDIzGSh3reJWj5a6QLFG5s+9Bs4kcDAdkaKpXGspb8/7pYWGX5UoJ5pBvWjz1VVnPOA539pmsY70ud5avB8cvK7V34PHE3Gpj3dacmqtnyvBUn8yFA+a2lgHUnjFYA1otRXsdR2Ll0F3ZrpQwF5TIeOyQ2/Q4nq+UgNxTV9YkBZ4iM6/S+VX/xGFpq94kTmDdNG+mv5UjWQNOTXAXB3w5raVqXeKQzwR8Np7uiL50mrWo2YtxBKeDXSvAIZMUzUaJRqLZLc1yoDcWTaqHfch51ihrnTTFI8+d1d+qwxETxFyJlPQ014p3fXPWAwB0415LHStPa724Kc2S0/Qw3nqoZ30N57OJ2REWdlkSz5SLzvglGl64ZP9aZhxH50KmeoOnvcERB0Z2zzyOm5mblHH/4n3d84l1XG4ob6EM+pqWQ8+dHu1a3rhgc5t42hrEraWPYZs+otZWBvlMyyhrOeU4Ns3XVtQfMGuw6Fwwu3OrrgEJD4w6rr+bXWngULyKSyzgs0+cNrfSMp2a1Qhn45APcIDQ3i4J7Tks0ZnZrF1DuGfITNpMeZYsHjZi6SqKa6S0sHzBet/5Sg8y41FgR27GIfM8tZUmEyWb5aS0z1bocKzHmfaG8NRUZO1asHTWTZiByR6ZC8UyRpyysNMyNSzs1naj2vTii4opMZwtWj7KbNxrGXQte0ff0JynPfj09eqkoAQt8xfv86yYW62teJ9jHS9yYcPaVVzE3MqGcysti+6EgE8toxyn8yots4y1E+odMod88T542aDtIyKjkxLuHxaZncvadWDlAZ9OCEqIRMImazGOuRUUh3yAA7iKY/XzI5PZmSyFRyYkMhJLI/d2NJloc9inrFScNl3Phc2BTLJutukBp1PqucOScaxl78IRcZUUiaeF/mZ2UVvWJIWeWInXqPZ+smzS5KPwkQu7qnVZvR6n9hEVj9uUy8zaNVSWmYwYb2tD1kscY2WVEvR1HI7kd4UL/TdquT+l5f/qyimDvpZcZVoO3ZUoh77WdO0Q6uyXyLR/zX82VqeiuFpKi5LBbt2jB/L6KdW/1e6x5L+xpWoD2fFrzF0eC0rI1iGfjlPh3liGvaepjrmVjejrNW5wqkcCoewlOKyFwalek7WoNItR21cAHPIBDposaQTnWovMzJoG68rTWJMocQV7iB3yxUp/+YPTMjydv6UPdAOqa3R/4j4Luyz9HrRMS+9womfLmv5sLcviD5jeoSYggV58tqGLG2tQgr6W8zkoQXvjaHaM8rg89LfKAndDtRRs3SCeuuz2wNNsYze9YmxXVsrjjvUiC0WCphdwvtJxuGt0X+J+S+W6REktrA2dy8RLY2ZlLahZOWOTEjrYK9Fw7LAX9gn4bLVsnHeP7U8c2Oejkel+8SeyFV1mvEIWAqh0rJqeXfPxQgMhwp39sR7HlWXirqtc05+P1akta5Qiry8R8KkB6vns8EhybtVQ3mayGQFm2IADuMp95pxGy9BFA2sXwanR7WHNitGJUkWp2RCDvRQXlEi9JeLaOpnIN0OTvRIIxaKMXeKS1urkohZrRzegwoOjpkzKWnPXV5vNcm9HIxnHNtRWvTFxeyowLmN53OvqsGXTXHuHsrBbe1oa0+V2ZSfjuHswqxmEWB2vpyCl11VXHs+txv0jMjk7lrjfVrMpq9fjVNnqy6cBW9rXSnlb68XlYfvJjpnHrvmDec2MGZzsESfMrerLmkx5ZWSjHHqB2T+KTs2secaxHvTpNWiVBHoc24sGEFn3bw7nccCnlk62Bt+3M7fCPGZZgFM2okp9a7640wy+6FzIbJZ72pko2VV7dXJDRhd2s0F/3i/sGirapMhbnNXrcSrXfO+YyNSM2cxe05/tcYu3vZGMY5vSklLVJQ15v3E+NTtueuPEtVnGaKw93UBYqwM3/VnhrkHTLyZ0sCdvNy+cwPq61YAE60FYPrFm8WkvwjJL6T+sHRNsqX2G69cu81gDS0OHB2I/v65S3FXJPt+wj0JvsTSWty24XsongaBfBiaSvUMJSMgeVxZKdkb6hiWqJYXd7vkex2yV21Fb1cZkFaq5KZOdm4+s1ae0xYy11zOcjZELcFjT9bWcLHkaq01z9dhEybNmPxfpVVfWZDL6VFRSexXkC//ctAxN9S54sIm17yHqKvBq/VSJTvnXJuN4aIzN8jxhjWTss5S0zCfWDbby4ip6h2a5vHBoV6eE9nevzc/THsdjk2b/wvSKca19JiHSQ3v+ar+rhQ7D8oWOv9beoQQkZI/Oq7xtDaYE3VrQMnuhQ30ikYi4SovNeIX8mFsNT/WZLJJ8o+tbXeeqYq9P6sroHZr1favJmbVbnxUWaH1a8WpgejFlD+1Ks281C9eazZdvIpGwdFv+XTq3Yj2AOA75AIeI98LTCKVoeG0izs0B3wltNCy2OS3REouKSm5EaZ3zfI2GKiksk5rSZDYQ1pZOUteqrFSsNEufhHuGzBvsr7G8VQo8ReZ2JBqWnrGDkk/CkVDKv0kDEljYZXfjPBoMSnR2zpREz3iP4/lxytNUK+6yWIUG2Jf10Ktn7JB5feeT3rFDZhxWWlK4sSKZDYT8ZTKOuwfMuOjyxnscE5BgZ5olUlJYvuC6KX96hyb/Ta3VG+kdmkWukmIRzaSLREXmMju3ivPUVkrBSevWLBACazO3GpjoMmWG88nAZI/MhQML9qQHOOQDHMLUFm+sEe/6Fu3AnrGfo5tcES11EP+5RJnnBV3saJ86NRuckaGp/Cl9oA3ktZF8HNFQuRPBqf35MhnBGekfiWULul3iqaWEWD5wuz3SWmXtx7Avr0oaanZiKBLb8PC4vdJcuS7bl+RouoHtKomXQ89cpYRoKCThQ/M9jivLxF23diX3kDnal09fx0pf132WrDe703HXmnWsm1AeN1U9sv07McECOvfJZDn06PybZhxrNRetzgBb0/V8u6XvsWa96fopX2hvK38w/n+4K6XHM9aeBgUUbGyVgm3rzR5WJjOOreXWGavyQ115sxR5fckqVKP5VYXKWvmhsaJdCr2x4FZAccgHOIge8mlGX6aiKXXBqKVZtGxVZCz/yng4WXGBT+rLWxL3D4/ulXyhfQbjEV6atagN5pFdLs1QcbtM83OZzUy5xcj4lIQHRs1tb6uWZmGCnC+smzPTgQkZnRmUfGHtM6gHBF5PQVavBxqUMJ95PDGTwYzjfjMeuooKxNNGj+N8oa/fFstBfWceBSVon8GpwHjiPmXQc0P4YG/skG86c5kNus70dDSKd3O7uOd7wsP+Wqo2mHWSmgvNmgyZfHHYMreqL29OtKlA9rh8ReJyuzPc43hAQnu7TOl15A/NbrOuBfOpCtV0YFKGLX0GmVvhSBzyAUhjaZZBic4GRDwe038B+Vv6QA/GdJKRDw4O70rc1sby2mAe2aWLOrMx5PHEDvrSLBqYk9DhAXPbXVcp7upkCSLYX2lRudSUNibuHxreLflgbGbYbJzH0d8qN7jLSy3l0DOwiaBj4FxI01TFu65ZXFrCCnnD+jqe8I+kvMbt7JBlblVd0iClRWTL50Q59Az2aDdZMfOH1Pqz3D6Cp/KJZos0WUru5svcSvsLDkwm++qyaZ57MhH8EhkaNwGfZp2ZycxmZL0KlWbpaonLfHBoJDnu6ryqqoR+t0jFKhFwGC2lGeoZSnvEUmRkQiKjk6Y0i+m9QGmWvFNX1iSlln4MnZZJhl2N64baTLIX27raE7J6PUjytDeaMi3x0p3p3ITSjGNd0GkwgqeJyXE+sr6WdfNGN3HyadNcF3WVvpqsXg/mFRWIq7DAlNKMTqU/m08fW/sbe9c3i6s4c2WrkB0VvmrT72qh17ld+eempX8iuWnO3CoHe7RPzqR14zwaiUpIswQ16zgTwQ7ICR01JyZua0CCBh/ZnfWwUvuy15U1Z/V6kBQeHpfgrkNmnymdIlN+CffN9zhuriXjOA/5CkqkIc+CEoLhOemxlB5dV3MCrZFwFA75AIeJDI9LZGhMomksp2n6O/TMT5SaasWtpfaQdzQqd11tcnGn9c11spE3m+a+WqKhcq3XVQZ6ekZnZk3vUH18E5CQofLFyK76shazWZMvi7vYpnmyNNb62i1ZvR4cmR2T/pKd1g14l8fD3CqPWV/Pejimr3f7R5rH/n59hWXSYCn3juxylZXooCXRuaBIIH1z+HD/sMlmjkzOiITSX4EBuaGqJHWtZPegBF3Han/BOF3nZmLtgRXS7OBA0PRoTxfN3At3ao9jEXdVubhrK/n15Kn1ln0rbd2gwd12pmVHw9FYD8kCT6HpdQwciUM+wKFlpSKT6ZksRUMhCWtWTDQq7soycddVpeVxkZt0MqGTCqWTDGvjX7uZDc5I3/jhxP11bJrnJN3ojoaTTdHTEcXu3dQqnnVkHDsqKGHM3kEJnSN7TPN45SsoZdM8x5j5T236Sv+ajOO9XSaKPV96tGFx2gNKD8NioinlmOwmFA5K1+j+IyLN2XLIFVruNx6Mma6gBO3DHhkcM7e97Q3iKiLj2DlBCV22DkrQsSociR1Ke82m+YZsXxIW6nk8lZ5y6CbjuLNPoqGwqYzgaa3nUDePxaqe1OZFUEIkGpFDw3sS99urN4vH7c3qNSE3MeMGHMalZVpcItHZuVgU5ypFRiZNRJSrqEA8bQ1MlPKcTiZ0UhGnkw2ddNh901wbrDdUtGb7knAE7RkT2nlIwl2DaX1u3CXFlGZxAN2s0U0bpZs43ZaNZ1tvmptIc6bwuUR7iHpb69OSbRfrcTwgUX9AIgOj9IpxAH09r7OUwdPXu77ubb9p7i6QVjbNc06iL18aAj51PRnqivU49tRXmYAH5DfNzNVgI6XrKF1P2ZGuX63Xrr34vGya55aiwmQ59Gn/qh8uMjgq0elZ3dAQrwZ70uPYUUEJGtytQd521D9xWAIhf2LO2FGT3I8DrNghAJxYAq8kHsG5+sWdu75KPC114l3XzETJIXRSEd9g1smGTjrsRjfPDo8ksxB1c83Npnnu8XpMEIGWf9Loy5XSxwju6057L1LkNt2s0U2buEMj9gxK0CzEUCS24c+muUPKqmtJdZeIp6PRlOpE/mutWm9e30oPybrG9tt+07xNN809sX8TcrAvn5bBi0RW2eO4N9bjuMwn7qZkxgTyPCih1v5BCQMTXYkNf5e42DTP1XLo8+NVWvattOKCVnRpbyTj2CE0iFuDue0clKDBfweHklmIzRUdUlRAeyQsjEM+wMGlD7TpejomX566KlPyAM6gkwqdXMQdGNppu3JiunkW3zTX7MTWasqz5CKXr8gEJugG0kojOPVvM9TZb74/3DVgu79VpCEoQU9LEiV6O21YniVZuq+teiOb5jlKxxYtKRUeHF3xY5jv753vcdxcR8axg+hhmB6KxenrPhJJX6nqtaBBX/7gdHLTvPaEbF8SFqCZMd7NbVKwdb243CvfDjIZx9rjuMArXg1IoJeZY2iGbjwoQddTdmvfoP9f6/o1rqmyI3EQgNzins881n2r1a7hdE3pWd+ceEzkP/cRlRI0yNtu7RtGZgZkYja5trAGWQBH4pAPcHJfvhXWN48G5iR0uD8ttdFhT+vqkpOLydkxGZzsEbvQCHnrwk43zeN9BpGLEZyrKysV7huOHRC63bHITTahHEU3bZork0EJ+we3S9RG2Xw9YwdTN81r2DTPWZrVsr9bwr3DKyqHrhnH4U7tcSziror1+IOzrKtN9q/ToITusYNiFzqu7hvcnrjfWNkuPjbNc5aWLV/tfEjHKFehN9bj2EtvICcHJei6Kl6m1w4Gp3pTNs3Xs2mes1ylxWYNp3MkLWO+XNrXPTI6mXw81oGOo8Hc1qAEa287O9g38ETidk1pg1T4qrN6PchtHPIBTlRUYKI4NZppuRtRsdIsfWayFO6JRZvDeSqKq6WhPNnDbu/g47bJkNKyMnOhWXPb7fLIhtqTsn1JWErm8cTyIzgj41MSGRwzt73tDWQcO9SG+m3miExNz01Kn01KDGsWnx5KWnsM+gqJPs7pcui6GWWCEpZXKUHLEYc6+yQaCptxytNKj2OnBiVYe9jtH9pum2y+vokumQ5MJO5vqtNxF7lO51Urnb+bXqQnrjMHhnCe9XVbzDpKzYUDKW0Qcpn+ve8beDxxv76sRSp8NVm9JixOs43d1eXirqlYduax6XF8eMAEp2vQJ5xJg7mt2W+HhnfZJptvZHpARmcGE/c31Z+c1etB7uOQD3AgjWDybmoV70nrxO0rWt5ESUuzzM6Z0iyeJibETrbJbJxbsvmmcj+bLxwJy4GhHSlZfNQ0z22ushIdtGIBCYGlByXoOBU6PGBue+qrxF1ZlsGrRC4rK6qQ5sr2xP19Nsnm6z0ii29j/dZsXxKWWCkhutzeMa757/W4xatZMR6WaE61sW5rSjZfz/hBe2yaDyYjzZsq2qWsmEzUXKeb3qGdh5ZVDt1k08wms2lc7tVlA8K+irzF0l5jyeYbtkc239ARWXybGtg0z3Xe1nrxti0/WFMDPU0vP60MQ4lOR9NDPms2n11681nnVtUlDSaTDzgWVpCAQ+kh3XLLFUSGxyUyNmU2ozzae6GA0ixOplGP9eUtKaUEcj2bT3tGBBJZfG7ZUMemea7TzW53mW9ZTdfjGcfay89V6hN3U22GrxK5bqMl8lGzTTTrJNez+Kyl71qq1ktJIQfVdsk8Xm45dNPfuKFaCrasE1cR5aOdTLN1W6vWJ+7vH9xhxoNc78WXksVHpLktmAO7YEgiEzNLzzg+1CfBvV1Lno8hv2k1lEQ2X2hWDud4bz5dp+61bJrXlzVLJVl8eUkrKsSz9zwtdWQcO5xm81lbHhwc3i2h8PJL6691Fp++xW0mIAFLwCEf4HCmTMsSNqIi034J98bKc3qa60yJFsC6kaNRkdrjILez+Ky9+DZJcQF/x3ZgyrTUVYlr/rDvuKJR0ydGAxG8GpBA/wXH02y+JktvPo2MzOWghN6xQ0dk8VH6zhaKCs3Yo2PQUrJjooFgyhxMS34CG+u2mde90nFAe3PmKrL47Ms9n9kSXWLPY10HRmdmY1kxRbGMCDibVkNpt1FvvqGpPpnwjyTuk8VnH/p/je5HRXQMOt7XzgUl1NlvbrurK0ypT0Cz+TzuWJJCKDwnh3I8my81i6+eLD4sCYd8gIOFh8cluP2gRAaTJSsWolGeYZ0oRUXcVWWm0TqgNPpRexnE7R14LGfL4B0e2SuBUGzTlSw+e3FXlYt3GVGYulHuWd9syhKTcYyFghI06yRXy+BpQIJ1YUcWn31oQIFrvmTn8TJdTMbxwR4J7esyh32ANZtPe3DG6XiQqxvnveOHZMqSxUdAgt3Koc8HGwSO3Z9Ie7FrRRflbW8k4xgJG+pSs/k6R/bmbhbfwGOJ+3Umi49KH3ahpTdD+7olMnCcfatIxPQ4lnBYXL4i8bTWEewJo9BbJOtqkr35Dg7tlLlQsvx0Lhme6k/J4iMgAUtFrT3AwaISlcjwmNlk0kbG0VDYbI7rhMi7vlk8uojzxD6utA66p7WBiRJS6KQj3o9Pe/N1jx00ve5yiS46rZvmZPHZj26Ihw/3S+hgr0T9gQXHK1Oec76MsMneKyTSHEdn8/WNd5r7e/ofk8aKdvHOR3XmikPDu8nis3nJzrBuRnUNSGhv14LjlbutQSJdA2Zz3YxZHvpaIZX24NRABA2c0t58Oi7k2gGaHjzu6X80cV/H0/LiqqxeE5bO9P70FUmkZ0hmb39If6ELz600K6Z7vsdxQ3UiAxCwZvMdGtlt7u8f3G6Ck7RnXy7RjOiUXnyUFbYVV3mJRHuGJGTWgj0S9c8tOF5pFYXoTCDW47ijyexxAdZsPu3Hp3359E33h7Y2n5VTT5DO+3b2PZSaxVdCLz4sTW7tagBYE9owPbizU4J7D4vMR4/Hi5bF34e7B82hnndTmxSc1CHezW2xDXRdEAJHZPM1V64z0dxqz8Bj0qQb557cOWDZO/CEmcgpbbrMws6O41WXyBGR5tbxSooLxV1ZJt6NLWahx6IOCzmx4TQZmOgyPa40s1ejODc3nJIzT1Yg6Jf9Q8lefNo/gl58Nhuv9nWbw734/CrxOet4VVgg7spScddXmfmVy8uSDKn0db+u5gQ5OLzL3N8/tENaqzaYDfVccWBol8zOV0hwudxyYuNp2b4kLHdutadTI+FSP3fk3KqqXNzVZeKuqhB3Yw3PMY6iAQjd4wdNCTxdb+0deFxObjknZ54p7b21eyAZkNBU0SFVJWTx2Wq82nVIQrs69ZeZ+rkF9q48bXUm25iywlgom0/Hq939jyQqPbXXbDaBoLmia/SATAVimfNqS9MZJFlgyditBxxGy634//ceCT6x/6gNqCNFZ+fM1+nXR6f8lGbBok5oPC2lVItuRuUKzS60NoLXAz6d4MFu49WxS0nJ7JxE+kdk7v6dEhmbXKtLhA3L4K2r3ZLSP8YfnJFcsWfg8URZPm0ST3kW+41XoScOHHd+pZkxpvTU/p7jfy0cSzeiCjxFyaw5S6m5bNPswoOWuZ6WwCIgwYZzqyMO+BacW/UNS2hvt8ngo8cxFqLrqs2WzLiu0f1m/ZUrdK6n61Ol61UCEmw6tzrigG+xvavA3x4VCeVm+xBknwZQ+Qrme9JKVHb1PSy5IhieSykrrFnRGlAPLBWHfIDTJkm33Btrmr4M+vX6ffr9wEJ8BSWmJ0PcoeFd4p87dj+iteq/sKvvkUScn25AddRszvZlIYPjlQRDMnvr/YxXWNTGuq1SOF9GKhINp5Sby6YJ/6h0j+1P3N9Uf4o56EMej1ezc8yvsCh9/VszjbvHDsiEfyQnnjEtdxyOxjZcCz1FsinHSokiA3OrvzK3wuI0G6a0sHz+XmzjXNdh2abr0XhGtFpfu8UEfCH3sXeFTHC7PSY7Lm5oqte85YL9gztkLhzrE+hxeeSEBiokYHk45AMcVOZg9rYHzSJtRXRxd9uD5nGAhayvO0mKvLEyUpH5WuLZXtwNTHbL8HRf4v6WxjPMxA65jfEKmaSlhE+wbJxrqeHR6cGsPuk6Vu7oezBxXzfK2ms2ZfWasDSMV8gk7XFsLSO1o/dB068lm0Znhky/wLjNDafmVIl2LIyxCpnk1pK9lo3z4el+6Z/syvqTvqv/YRPQpbRPoDUoFbmL8QqZ1FDeanrdxe3sfUjCkWNnimbaVGAi0dtUra/bKsU5VKId9sAhH+AQ2ndh2VGbR9DvD2otdGABXrdXTmg8NeWArW8ie38vc6GAbO99IHG/prRB6stbsnY9WDrGK2Sa9rYqL65K3H+8595Emcxs0CbwYzNDifsaYaobZsh9jFfIJB0HtjSdmbg/5h+WQyN7svak6zj5ePe9iftlRZXSVr0ha9eDpWOsQqbVlzVLbWlj4v6OngfMeixb+sY7pX8iedB4AgEJtsF4hUzS0tMnWYISpucmZd/g41l70jV4S+dW8SCuYq9PNtQl20sAS8XuAeAA0XBEgvvSE0kX2ttlHg9YSEvlenOYZo04DwT9WXmyNJPQ2n9hW/PZ9BKxAcYrrAWXyy3bms/RW+b+zNyUKT+XDdOBSdltKRnaWNFOQIJNMF5hLdSVNUlTRUfivo5VOm5kg/YFnJmL/2yXnNxyjhlPkdsYq7BWG+dbm89O9mkPB8xaMBsCoVnZbvnZ1SUN0lJFQIIdMF5hLVT4aqSj5oTE/QNDu2RsZjgrT/7B4d0y7k/+7K0tZ4vH7c3KtcDemJEDDhA+3G/6vqSDNjQ2jwcssrg7ueXcxKREmwdrNt1al+0cmOg2JfjitDRfqaXcFXIX4xXWSlVJbUqUpJZIWeuynTo2PtFzX6KUVIGnSLY1n7Wm14CVY7zCWtnafJbpfad0vNDs47Uu26llOg8NW0pJ1W6RqpK6Nb0GrAxjFdZKaVF5SmUXrepizaZbKzt6H5CgpbfVKa3nEuxpE4xXWCsnNp4mvsKy+XvR+cou4TUv07l3IBlo2lK5zpQTBVaCQz7AAUIHe3P68ZBfSgrLzITJWrbTeuCWaVoW5one+xP3q3y1sq72xDX7+VgdxiuspU31qQEAurgLhYNrWqZzdCZ5sKgZx4Xe4jX7+VgdxiuslUJvkWxr0ezjGC3ve2h47cp2ho4o06l9Qzc3nLxmPx+rw1iFtbSu5oSUAIDtPfebzLq10ntkmc7G0836FPbAeIW1ooHpp7acl7g/bQ7c1q5sZ2S+TKe+V7oGtJZoB5aLQz7AAaL+QE4/HvJPe/XmlLKdms03OTuW8Z+rE6RHuu5KKdN5Sut5lJKyEcYrrCWP2yOnmMVdsmxnLEMm89nHmjW4q+/hlDKdTZXtGf+5SB/GK6ylxoq2lLKdu/sfkZHpgYz/XB0PdRPKWqZT51aUkrIPxiqsJS3hq3Mra9nORw7fldjIziRdb2qFhLjqknrpqNmc8Z+L9GG8wlqqLq1PKdt5cHjnmmUf6zrQWqZTS6BrUBewUhzyAQ4QDYVz+vGQv2U7ve4Ccz8cCclDnXdmvPm6TpSsG15aLoYynfbCeIVslO3cWLc1cV8XdvuHtmf0Z/qDM/Lw4b9LVKKJyE3KdNoP4xWyUbazyOuL/f1J1Gyc++emM/ozDwztkP6Jw4n7WuaYMp32wliFbJTttFZ20aoF2i89k3SdqetNXXcqDUSIBXvGArlgD4xXWGs6VmmFgrjHuv+R8QD1rtH9pqJLXEvVesp0YtU45AMcwOX15PTjIT9pWZTT2i5I3PcHp+WRrrszFsXZfcREqamyQ9bVUKbTbhivkA1adq62rClxX0u1aKnhTNDNp4c16GG+V4xGvJ/Z/iTKdNoQ4xXWmkZ4n9H+pESFAh1HHjqc3NROt8HJHtlj6RVTW9oomxuS/bZgD4xVyAbNjmmuXJe4f3hkr9nYzgRdXz7adbdZb8ad1nYhZTptiPEKa00DAs7sePKaBahryXWtdBVXUVxtWjYAq8UhH+AALl9RTj8e8ld9eYuc0JCM4hyZ7jd9GdJdCm9oqleesEyUyour5JQWGqzbEeMVsvJ353LL6UdsBj3adY9ZhKVTJBI2jzsxO5r4mC7qyIqxJ8YrZCv7+GTLZpBGm5sgqkh6K22MzQyb8SrOV1BqNs3d8weMsA/GKmTl785UdjnHbGDH6cb24GRvWn+Orit39D4gw9P9iY9pMEJDeUtafw7WBuMVskGrPx0ZoK5VV9Ldq30qMCEPaTWXeB8+T5Gc0fFkSqAjLZihz5vxz8rv/nSbfPIL35KXvvHdctbTXiSnXnq13HDjT1b1BN/29/vkVde9Xy545kvN26vf+gG54+77j/k9ew90yts/+Bm55Kpr5ZwrrpGrX/VW+eHPfyeRSOZrmCM/edc35/TjIb9tqDtJmiqSfaa6xw7I493/SFtG38BEtzzYeWfKROnMdiZKdsV4hWwp8BSmjB0axXn/odvT1vMqHAnLw4fvSskQbK/ZLG3VG9Py+Fh7jFfIltbqjSk9ZDTjTjeNdJxJV8/Q+w/dJqFIMCXKnV4x9sRYhWzRsUM3sHV9pnS9ptnH6ep5pY+nvZStGYLav9Rahh32wniF7Aaon5pSZviBQ7dLMDyXlsfXoKz7DvxV5kKz5r5LXKY6g6+gJC2PD3DIN6+zq1f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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 4: Aliasing example\n", + "\n", + "duration = 0.5\n", + "true_frequency = 40.0 # Hz\n", + "fs_low = 50.0 # Hz - below Nyquist for 40 Hz\n", + "aliased_frequency = compute_aliased_frequency(true_frequency, fs_low)\n", + "\n", + "# High-resolution reference signals\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_true = generate_sine_wave(t_ref, true_frequency)\n", + "signal_aliased_ref = generate_sine_wave(t_ref, aliased_frequency)\n", + "\n", + "# Sampled signal\n", + "t_sampled = generate_time_vector(duration, fs_low)\n", + "signal_sampled = generate_sine_wave(t_sampled, true_frequency)\n", + "\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 8), dpi=150)\n", + "\n", + "# Top: Original signal and samples\n", + "axes[0].plot(t_ref, signal_true, color=COLORS[\"signal_1\"], linewidth=1.5, \n", + " label=f\"True signal ({true_frequency:.0f} Hz)\")\n", + "axes[0].scatter(t_sampled, signal_sampled, color=COLORS[\"signal_2\"], s=80, \n", + " zorder=5, label=f\"Samples (fs={fs_low:.0f} Hz)\")\n", + "axes[0].set_xlabel(\"Time (s)\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(f\"Sampling a {true_frequency:.0f} Hz Signal at {fs_low:.0f} Hz\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom: Aliased interpretation\n", + "axes[1].plot(t_ref, signal_aliased_ref, color=COLORS[\"signal_3\"], linewidth=1.5, \n", + " label=f\"Aliased frequency ({aliased_frequency:.0f} Hz)\")\n", + "axes[1].scatter(t_sampled, signal_sampled, color=COLORS[\"signal_2\"], s=80, \n", + " zorder=5, label=\"Same samples\")\n", + "axes[1].plot(t_sampled, signal_sampled, color=COLORS[\"signal_2\"], linewidth=1, \n", + " linestyle=\"--\", alpha=0.5)\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(f\"The Samples Appear to Follow a {aliased_frequency:.0f} Hz Wave\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "146baa27", + "metadata": {}, + "source": [ + "The top panel shows a true 40 Hz signal being sampled at only 50 Hz. The bottom panel reveals the problem: those same sample points fall perfectly on a 10 Hz sine wave. From the sampled data alone, we cannot distinguish between these two possibilities. The 40 Hz signal has been \"aliased\" to 10 Hz." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "2847b1fa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 5: Aliasing zones\n", + "\n", + "fs = 100 # Hz\n", + "nyquist = fs / 2\n", + "\n", + "# Compute aliased frequencies for a range of true frequencies\n", + "true_frequencies = np.linspace(0, 200, 1000)\n", + "aliased_frequencies = np.array([compute_aliased_frequency(f, fs) for f in true_frequencies])\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6), dpi=150)\n", + "\n", + "# Plot aliased frequency vs true frequency\n", + "ax.plot(true_frequencies, aliased_frequencies, color=COLORS[\"signal_1\"], linewidth=2)\n", + "\n", + "# Mark Nyquist frequency\n", + "ax.axvline(x=nyquist, color=COLORS[\"signal_2\"], linestyle=\"--\", linewidth=1.5, \n", + " label=f\"Nyquist frequency ({nyquist:.0f} Hz)\")\n", + "ax.axvline(x=fs, color=COLORS[\"signal_4\"], linestyle=\":\", linewidth=1.5, \n", + " label=f\"Sampling frequency ({fs:.0f} Hz)\")\n", + "ax.axvline(x=fs + nyquist, color=COLORS[\"signal_2\"], linestyle=\"--\", linewidth=1.5, alpha=0.5)\n", + "\n", + "# Shade aliasing zones\n", + "ax.axvspan(0, nyquist, alpha=0.1, color=COLORS[\"signal_3\"], label=\"No aliasing zone\")\n", + "ax.axvspan(nyquist, fs, alpha=0.1, color=COLORS[\"signal_2\"], label=\"Aliasing zone\")\n", + "\n", + "ax.set_xlabel(\"True Frequency (Hz)\")\n", + "ax.set_ylabel(\"Apparent Frequency After Sampling (Hz)\")\n", + "ax.set_title(f\"Aliasing Pattern for fs = {fs} Hz\")\n", + "ax.legend(loc=\"upper right\")\n", + "ax.grid(True, alpha=0.3)\n", + "ax.set_xlim(0, 200)\n", + "ax.set_ylim(0, nyquist + 5)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "206e9c75", + "metadata": {}, + "source": [ + "This figure shows how frequencies \"fold\" back when they exceed the Nyquist limit. Within the green zone (0 to 50 Hz), frequencies appear as themselves. Above the Nyquist frequency, they fold back: 60 Hz appears as 40 Hz, 70 Hz as 30 Hz, and so on. The pattern repeats at multiples of the sampling frequency.\n", + "\n", + "This sawtooth pattern is why aliasing is sometimes called \"frequency folding\". Any frequency above Nyquist gets folded back into the representable range, masquerading as a lower frequency." + ] + }, + { + "cell_type": "markdown", + "id": "65937ced", + "metadata": {}, + "source": [ + "## Section 6: Signal Generation Functions\n", + "\n", + "Throughout this workshop, we use synthetic signals to test our algorithms and build intuition. The signal generation functions are available in `src/signals.py`:\n", + "\n", + "- `generate_time_vector(duration, fs)` — Create time arrays\n", + "- `generate_sine_wave(t, frequency, amplitude, phase)` — Pure oscillations\n", + "- `generate_white_noise(n_samples, amplitude, seed)` — Random fluctuations (flat spectrum)\n", + "- `generate_pink_noise(n_samples, amplitude, seed)` — 1/f noise (resembles real EEG)\n", + "- `generate_composite_signal(t, frequencies, amplitudes, phases)` — Multiple frequencies combined\n", + "\n", + "Let's see them in action:" + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "f750bb49", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 6: Signal types\n", + "\n", + "duration = 2.0\n", + "fs = 500 # Hz\n", + "t = generate_time_vector(duration, fs)\n", + "n_samples = len(t)\n", + "\n", + "# Generate different signal types\n", + "sine_signal = generate_sine_wave(t, frequency=10, amplitude=1.0)\n", + "white_signal = generate_white_noise(n_samples, amplitude=1.0, seed=42)\n", + "pink_signal = generate_pink_noise(n_samples, amplitude=1.0, seed=42)\n", + "composite_signal = generate_composite_signal(\n", + " t, \n", + " frequencies=[3, 10, 25], \n", + " amplitudes=[0.5, 1.0, 0.3]\n", + ")\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 10), dpi=150)\n", + "\n", + "signals = [\n", + " (sine_signal, \"Sine Wave (10 Hz)\", COLORS[\"signal_1\"]),\n", + " (white_signal, \"White Noise\", COLORS[\"signal_2\"]),\n", + " (pink_signal, \"Pink Noise (1/f)\", COLORS[\"signal_3\"]),\n", + " (composite_signal, \"Composite (3 + 10 + 25 Hz)\", COLORS[\"signal_4\"]),\n", + "]\n", + "\n", + "for ax, (signal, title, color) in zip(axes.flat, signals):\n", + " # Only show first 0.5 seconds for clarity\n", + " mask = t <= 0.5\n", + " ax.plot(t[mask], signal[mask], color=color, linewidth=1)\n", + " ax.set_xlabel(\"Time (s)\")\n", + " ax.set_ylabel(\"Amplitude\")\n", + " ax.set_title(title)\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4a9c52cb", + "metadata": {}, + "source": [ + "The four panels show our building blocks:\n", + "- **Sine wave**: A pure oscillation at a single frequency\n", + "- **White noise**: Random fluctuations that look \"spiky\" because all frequencies contribute equally\n", + "- **Pink noise**: Smoother random fluctuations dominated by low frequencies, more similar to real EEG\n", + "- **Composite signal**: Multiple frequencies combined, showing the complex waveforms we see in real data\n", + "\n", + "These functions will be used throughout the workshop to create test signals with known properties." + ] + }, + { + "cell_type": "markdown", + "id": "6ea11b89", + "metadata": {}, + "source": [ + "## Section 7: Practical Considerations for EEG\n", + "\n", + "Now that we understand the theory, let us consider how it applies to real EEG recording.\n", + "\n", + "### Anti-Aliasing Filters\n", + "\n", + "EEG amplifiers include **anti-aliasing filters** (low-pass filters) that remove high frequencies before digitization. If the system samples at 256 Hz, a hardware filter removes frequencies above ~100 Hz before sampling. This prevents muscle artifacts and electrical noise from aliasing into the EEG frequency range.\n", + "\n", + "### Oversampling\n", + "\n", + "Many modern systems deliberately **oversample**, recording at higher rates than strictly necessary. This provides:\n", + "- Better anti-aliasing filter performance\n", + "- Flexibility to downsample later\n", + "- Cleaner high-frequency content (gamma band)\n", + "\n", + "### Downsampling\n", + "\n", + "If you only need frequencies below 50 Hz, you can **downsample** from 1024 Hz to 256 Hz. This reduces file size and speeds up analysis. However, you must apply a low-pass filter before downsampling to prevent aliasing.\n", + "\n", + "### Common EEG Sampling Rates\n", + "\n", + "| System Type | Typical fs | Nyquist | Usable Range |\n", + "|-------------|-----------|---------|---------------|\n", + "| Clinical | 256 Hz | 128 Hz | < 100 Hz |\n", + "| Research | 512 Hz | 256 Hz | < 200 Hz |\n", + "| High-density | 1024 Hz | 512 Hz | < 400 Hz |" + ] + }, + { + "cell_type": "markdown", + "id": "9a4932b6", + "metadata": {}, + "source": [ + "## Section 8: Hands-On Exercises\n", + "\n", + "Let us practice what we have learned." + ] + }, + { + "cell_type": "markdown", + "id": "e0a782f0", + "metadata": {}, + "source": [ + "### 🎯 Exercise 1: Observing Aliasing 🟢\n", + "\n", + "**Objective**: Visualize aliasing by sampling a signal below and above its Nyquist rate.\n", + "\n", + "**Instructions**:\n", + "1. Create a 5 Hz sine wave with duration 2 seconds\n", + "2. Sample it at 100 Hz (adequate - above Nyquist)\n", + "3. Sample it at 8 Hz (inadequate - below Nyquist)\n", + "4. Compute the expected aliased frequency using `compute_aliased_frequency()`\n", + "5. Plot both versions and observe the difference\n", + "\n", + "**Expected output**: Two plots showing the original signal with proper sampling vs aliased sampling" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "996ad8d4", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 1: Observing Aliasing\n", + "# =============================================================================\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "true_frequency = 5.0 # Hz\n", + "fs_good = 100 # Hz\n", + "fs_bad = 8 # Hz\n", + "\n", + "# Your code here:\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "a4b01091", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Exercise 1: Observing Aliasing\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "true_frequency = 5.0 # Hz\n", + "fs_good = 100 # Hz\n", + "fs_bad = 8 # Hz\n", + "\n", + "# Generate high-resolution reference\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_ref = generate_sine_wave(t_ref, true_frequency)\n", + "\n", + "# Properly sampled version\n", + "t_good = generate_time_vector(duration, fs_good)\n", + "signal_good = generate_sine_wave(t_good, true_frequency)\n", + "\n", + "# Undersampled version\n", + "t_bad = generate_time_vector(duration, fs_bad)\n", + "signal_bad = generate_sine_wave(t_bad, true_frequency)\n", + "\n", + "# Compute aliased frequency\n", + "aliased_freq = compute_aliased_frequency(true_frequency, fs_bad)\n", + "print(f\"Original frequency: {true_frequency} Hz\")\n", + "print(f\"Sampling rate: {fs_bad} Hz\")\n", + "print(f\"Nyquist frequency: {fs_bad/2} Hz\")\n", + "print(f\"Aliased frequency: {aliased_freq} Hz\")\n", + "\n", + "# Visualization\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6), dpi=150)\n", + "\n", + "# Top: Proper sampling\n", + "axes[0].plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], alpha=0.5, \n", + " label=f\"True {true_frequency} Hz\")\n", + "axes[0].scatter(t_good, signal_good, color=COLORS[\"signal_2\"], s=30, \n", + " zorder=5, label=f\"Samples at {fs_good} Hz\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(f\"Adequate Sampling: fs={fs_good} Hz > 2×{true_frequency} Hz\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom: Undersampling with aliasing\n", + "axes[1].plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], alpha=0.3, \n", + " label=f\"True {true_frequency} Hz\")\n", + "axes[1].scatter(t_bad, signal_bad, color=COLORS[\"signal_2\"], s=50, \n", + " zorder=5, label=f\"Samples at {fs_bad} Hz\")\n", + "axes[1].plot(t_bad, signal_bad, color=COLORS[\"signal_2\"], linestyle=\"--\", \n", + " alpha=0.7, label=f\"Apparent {aliased_freq} Hz\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(f\"Aliasing: fs={fs_bad} Hz < 2×{true_frequency} Hz → appears as {aliased_freq} Hz\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "**Explanation**: The 5 Hz signal sampled at 8 Hz appears as a **3 Hz** signal due to aliasing. Since the Nyquist frequency is 4 Hz (half of 8 Hz), and 5 Hz exceeds this limit, the signal \"folds back\" to |5 - 8| = 3 Hz. This is why proper anti-aliasing filters are essential in EEG systems.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "05f7be56", + "metadata": {}, + "source": [ + "### 🎯 Exercise 2: Composite Signal Aliasing 🟡\n", + "\n", + "**Objective**: Understand how aliasing affects multi-frequency signals differently.\n", + "\n", + "**Instructions**:\n", + "1. Create a composite signal with 3 Hz, 7 Hz, and 15 Hz components (amplitudes: 1.0, 0.8, 0.6)\n", + "2. Sample at 40 Hz (safe for all components)\n", + "3. Sample at 25 Hz (15 Hz will alias since Nyquist = 12.5 Hz)\n", + "4. Calculate what frequency 15 Hz aliases to at 25 Hz sampling\n", + "5. Compare the two results visually\n", + "\n", + "**Expected output**: Visualization showing how the 15 Hz component becomes indistinguishable from a lower frequency" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "03bb919c", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 2: Composite Signal Aliasing\n", + "# =============================================================================\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "frequencies = [3, 7, 15] # Hz\n", + "amplitudes = [1.0, 0.8, 0.6]\n", + "fs_safe = 40 # Hz - above 2*15\n", + "fs_alias = 25 # Hz - below 2*15\n", + "\n", + "# Your code here:\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "4db2c07e", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Exercise 2: Composite Signal Aliasing\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "frequencies = [3, 7, 15] # Hz\n", + "amplitudes = [1.0, 0.8, 0.6]\n", + "fs_safe = 40 # Hz\n", + "fs_alias = 25 # Hz\n", + "\n", + "# Generate reference composite signal\n", + "t_ref = generate_time_vector(duration, 1000)\n", + "signal_ref = generate_composite_signal(t_ref, frequencies, amplitudes)\n", + "\n", + "# Safe sampling\n", + "t_safe = generate_time_vector(duration, fs_safe)\n", + "signal_safe = generate_composite_signal(t_safe, frequencies, amplitudes)\n", + "\n", + "# Aliased sampling\n", + "t_alias = generate_time_vector(duration, fs_alias)\n", + "signal_alias = generate_composite_signal(t_alias, frequencies, amplitudes)\n", + "\n", + "# Compute what 15 Hz aliases to\n", + "aliased_15 = compute_aliased_frequency(15, fs_alias)\n", + "print(f\"At fs={fs_alias} Hz, Nyquist = {fs_alias/2} Hz\")\n", + "print(f\"3 Hz: preserved (below Nyquist)\")\n", + "print(f\"7 Hz: preserved (below Nyquist)\")\n", + "print(f\"15 Hz → aliases to {aliased_15} Hz\")\n", + "\n", + "# Visualization\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6), dpi=150)\n", + "\n", + "# Safe sampling\n", + "axes[0].plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], alpha=0.5, label=\"True signal\")\n", + "axes[0].scatter(t_safe, signal_safe, color=COLORS[\"signal_2\"], s=20, \n", + " zorder=5, label=f\"Samples at {fs_safe} Hz\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(f\"Safe Sampling: fs={fs_safe} Hz (all components preserved)\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "axes[0].set_xlim(0, 1)\n", + "\n", + "# Aliased sampling\n", + "axes[1].plot(t_ref, signal_ref, color=COLORS[\"signal_1\"], alpha=0.3, label=\"True signal\")\n", + "axes[1].scatter(t_alias, signal_alias, color=COLORS[\"signal_2\"], s=30, \n", + " zorder=5, label=f\"Samples at {fs_alias} Hz\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(f\"Aliased Sampling: 15 Hz appears as {aliased_15} Hz\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "axes[1].set_xlim(0, 1)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "**Explanation**: With fs = 25 Hz, the Nyquist frequency is 12.5 Hz. The 3 Hz and 7 Hz components are preserved (both below Nyquist), but the 15 Hz component aliases to |15 - 25| = 10 Hz. This creates a distorted signal where the 15 Hz \"beta\" activity would be misinterpreted as 10 Hz \"alpha\" activity!\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "39b6e83e", + "metadata": {}, + "source": [ + "### 🎯 Exercise 3: Fake EEG Signal 🟡\n", + "\n", + "**Objective**: Create a realistic synthetic EEG signal by combining multiple frequency components.\n", + "\n", + "**Instructions**:\n", + "1. Generate a 2-second signal at 256 Hz sampling rate\n", + "2. Add an alpha component: 10 Hz sine wave with amplitude 1.0\n", + "3. Add a beta component: 25 Hz sine wave with amplitude 0.5\n", + "4. Add background activity: pink noise with amplitude 0.2\n", + "5. Combine all components into a \"fake EEG\"\n", + "6. Verify that all frequencies are below Nyquist\n", + "7. Plot each component and the combined signal\n", + "\n", + "**Expected output**: A 4-panel figure showing alpha, beta, noise, and combined EEG-like signal" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "a276c842", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 3: Fake EEG Signal\n", + "# =============================================================================\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "fs = 256 # Hz - typical EEG sampling rate\n", + "\n", + "# Your code here:\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "d24b9297", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Exercise 3: Fake EEG Signal\n", + "\n", + "# Parameters\n", + "duration = 2.0\n", + "fs = 256 # Hz\n", + "\n", + "# Generate time vector\n", + "t = generate_time_vector(duration, fs)\n", + "n_samples = len(t)\n", + "\n", + "# Generate components\n", + "alpha = generate_sine_wave(t, frequency=10, amplitude=1.0)\n", + "beta = generate_sine_wave(t, frequency=25, amplitude=0.5)\n", + "noise = generate_pink_noise(n_samples, amplitude=0.2, seed=42)\n", + "\n", + "# Combine into fake EEG\n", + "fake_eeg = alpha + beta + noise\n", + "\n", + "# Verify Nyquist criterion\n", + "print(f\"Sampling rate: {fs} Hz\")\n", + "print(f\"Nyquist frequency: {fs/2} Hz\")\n", + "print(f\"Highest signal frequency: 25 Hz\")\n", + "print(f\"Nyquist satisfied: {25 < fs/2}\")\n", + "\n", + "# Visualization\n", + "fig, axes = plt.subplots(4, 1, figsize=(12, 8), sharex=True, dpi=150)\n", + "\n", + "axes[0].plot(t, alpha, color=COLORS[\"alpha\"], linewidth=0.8)\n", + "axes[0].set_ylabel(\"Alpha (10 Hz)\")\n", + "axes[0].set_title(\"Fake EEG Signal Components\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t, beta, color=COLORS[\"beta\"], linewidth=0.8)\n", + "axes[1].set_ylabel(\"Beta (25 Hz)\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "axes[2].plot(t, noise, color=COLORS[\"signal_3\"], linewidth=0.5, alpha=0.8)\n", + "axes[2].set_ylabel(\"Pink noise\")\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "axes[3].plot(t, fake_eeg, color=COLORS[\"signal_1\"], linewidth=0.5)\n", + "axes[3].set_ylabel(\"Fake EEG\")\n", + "axes[3].set_xlabel(\"Time (s)\")\n", + "axes[3].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "**Explanation**: This synthetic signal mimics real EEG by combining: (1) Alpha rhythm at 10 Hz - the dominant rhythm during relaxed wakefulness, (2) Beta rhythm at 25 Hz - associated with active thinking, and (3) Pink noise - representing the 1/f background activity characteristic of biological signals. At 256 Hz sampling, all frequencies up to 128 Hz are accurately captured.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "90b86415", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "Key takeaways from this notebook:\n", + "\n", + "- **Digital signals are discrete samples** of continuous phenomena, captured at regular intervals determined by the sampling rate\n", + "\n", + "- **Sampling rate determines temporal resolution** and limits the frequencies we can represent; higher sampling rates capture finer details\n", + "\n", + "- **The Nyquist theorem states $f_s > 2 f_{max}$** to avoid aliasing; the Nyquist frequency $f_N = f_s/2$ is the highest representable frequency\n", + "\n", + "- **Aliasing creates false low-frequency components** when high frequencies are undersampled; these artifacts are indistinguishable from real low-frequency signals\n", + "\n", + "- **EEG systems use anti-aliasing filters** before digitization to prevent high-frequency artifacts from corrupting the data\n", + "\n", + "- **Synthetic signals** (sine waves, noise, composites) allow controlled experimentation with known ground truth\n", + "\n", + "### What we learned to do:\n", + "- Generate time vectors and sine waves with specified parameters\n", + "- Create white and pink noise signals\n", + "- Combine multiple frequencies into composite signals\n", + "- Predict aliased frequencies when Nyquist is violated\n", + "\n", + "### Next steps\n", + "In the next notebook (A02: The Frequency Domain), we will explore how to decompose signals into their frequency components using the Fourier transform." + ] + }, + { + "cell_type": "markdown", + "id": "aa8baffa", + "metadata": {}, + "source": [ + "## External Resources\n", + "\n", + "### 🎥 Video Summary\n", + "\n", + "- **[Signals and Sampling - Video Overview](https://notebooklm.google.com/notebook/477ddfd2-4fd9-4d1d-ba43-be90f20c8ee7?artifactId=1961c6e4-90be-4e72-b1dc-2deaeaf99af8)** — AI-generated video summary of this notebook's key concepts\n", + "\n", + "### 📝 Practice & Review\n", + "\n", + "- **[Quiz: Test Your Understanding](https://notebooklm.google.com/notebook/477ddfd2-4fd9-4d1d-ba43-be90f20c8ee7?artifactId=8b343bfb-da1d-4ca6-9016-05614ff89850)** — Interactive quiz on sampling and aliasing concepts\n", + "- **[Flashcards: Key Terms](https://notebooklm.google.com/notebook/477ddfd2-4fd9-4d1d-ba43-be90f20c8ee7?artifactId=9acb73bc-2c3e-4444-a5ba-eda835ebd05c)** — Review flashcards for spaced repetition learning\n", + "\n", + "### 🎥 Video Tutorials\n", + "\n", + "- **[3Blue1Brown: But what is the Fourier Transform?](https://www.youtube.com/watch?v=spUNpyF58BY)** (20 min) — Beautiful visual intuition for frequency decomposition\n", + "- **[Sampling, Aliasing & Nyquist Theorem](https://www.youtube.com/watch?v=yWqrx08UeUs)** (10 min) — Clear explanation with animations\n", + "\n", + "### 📖 Further Reading\n", + "\n", + "- **[Wikipedia: Nyquist-Shannon Sampling Theorem](https://en.wikipedia.org/wiki/Nyquist%E2%80%93Shannon_sampling_theorem)** — Mathematical foundations and historical context\n", + "- **[SciPy Signal Processing Tutorial](https://docs.scipy.org/doc/scipy/tutorial/signal.html)** — Official documentation for signal generation and processing\n", + "\n", + "### 📚 Academic References\n", + "\n", + "- Shannon, C. E. (1949). *Communication in the presence of noise*. Proceedings of the IRE, 37(1), 10-21. — The foundational paper on sampling theory\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "3d2a4e0f", + "metadata": {}, + "source": [ + "## Discussion Questions\n", + "\n", + "For the live session, consider the following questions:\n", + "\n", + "1. **An EEG system samples at 256 Hz. A participant has strong muscle artifact at 150 Hz. What will happen to this artifact in the recorded data if no anti-aliasing filter is applied?**\n", + "\n", + "2. **You want to study gamma oscillations (30-100 Hz). What is the minimum sampling rate you would need? What sampling rate would you actually recommend, and why?**\n", + "\n", + "3. **Why might a researcher choose to record at 1024 Hz even if they only care about frequencies below 50 Hz?**\n", + "\n", + "4. **Two signals look identical after sampling. Does this mean they were the same signal before sampling? Why or why not?**\n", + "\n", + "5. **In hyperscanning, two EEG systems must be synchronized. How might small differences in actual sampling rate (e.g., 255.8 Hz vs 256.2 Hz) affect connectivity analysis over a long recording?**" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A02_frequency_domain.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A02_frequency_domain.ipynb new file mode 100644 index 0000000..cdfb508 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A02_frequency_domain.ipynb @@ -0,0 +1,1782 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "71b564fc", + "metadata": {}, + "source": [ + "# A02: The Frequency Domain\n", + "\n", + "**Duration**: ~60 minutes \n", + "**Prerequisites**: A01 (Signals and Sampling)\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "1. Explain the intuition behind the Fourier transform\n", + "2. Distinguish between amplitude spectrum and phase spectrum\n", + "3. Compute the Discrete Fourier Transform (DFT) using FFT\n", + "4. Interpret frequency domain representations of signals\n", + "5. Understand frequency resolution and its relationship to signal duration\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "40c9ee7a", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#1-introduction)\n", + "2. [Intuition — Signals as Sums of Oscillations](#2-intuition--signals-as-sums-of-oscillations)\n", + "3. [The Fourier Transform](#3-the-fourier-transform)\n", + "4. [Computing the FFT in Python](#4-computing-the-fft-in-python)\n", + "5. [Amplitude Spectrum](#5-amplitude-spectrum)\n", + "6. [Phase Spectrum](#6-phase-spectrum)\n", + "7. [Frequency Resolution](#7-frequency-resolution)\n", + "8. [Symmetry and One-Sided Spectrum](#8-symmetry-and-one-sided-spectrum)\n", + "9. [Windowing (Brief Introduction)](#9-windowing-brief-introduction)\n", + "10. [Practical Example — Composite EEG-like Signal](#10-practical-example--composite-eeg-like-signal)\n", + "11. [Hands-On Exercises](#11-hands-on-exercises)\n", + "12. [Summary](#summary)\n", + "13. [External Resources](#external-resources)\n", + "14. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4c905ae8", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "from typing import Optional, Tuple\n", + "import matplotlib.pyplot as plt\n", + "from scipy import fft\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parents[2]\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from src.colors import COLORS\n", + "from src.plotting import configure_plots\n", + "from src.signals import (\n", + " generate_time_vector,\n", + " generate_sine_wave,\n", + " generate_composite_signal,\n", + " generate_pink_noise,\n", + ")\n", + "\n", + "# Apply plot configuration\n", + "configure_plots()" + ] + }, + { + "cell_type": "markdown", + "id": "00a7c043", + "metadata": {}, + "source": [ + "---\n", + "## 1. Introduction\n", + "\n", + "In the previous notebook, we explored how signals vary over time — the **time domain** representation. While this view is intuitive and shows us the raw amplitude fluctuations, it often hides the underlying structure of complex signals like EEG.\n", + "\n", + "EEG signals are fundamentally **oscillatory**. Different brain states are characterized by rhythmic activity at specific frequencies: alpha waves (8-12 Hz) dominate when we close our eyes and relax, beta waves (13-30 Hz) emerge during focused attention, and theta waves (4-8 Hz) appear during drowsiness or meditation. Looking at raw EEG in the time domain, these rhythms are mixed together, making them difficult to identify and quantify.\n", + "\n", + "The **frequency domain** provides a powerful alternative view. Instead of asking \"what is the amplitude at each moment in time?\", we ask \"how much of each frequency is present in the signal?\". This transformation reveals the hidden oscillatory components that are superimposed in the time domain.\n", + "\n", + "The mathematical tool that bridges these two domains is the **Fourier transform**. Named after Joseph Fourier, who discovered that any signal can be represented as a sum of sine waves, this transform is the foundation of modern signal processing. In the context of hyperscanning and connectivity analysis, the frequency domain is essential — most connectivity metrics (coherence, PLV, PLI, etc.) operate on frequency-specific representations of the data." + ] + }, + { + "cell_type": "markdown", + "id": "971f45f1", + "metadata": {}, + "source": [ + "---\n", + "## 2. Intuition — Signals as Sums of Oscillations\n", + "\n", + "One of the most profound insights in mathematics is **Fourier's theorem**: any signal can be represented as a sum of sine waves of different frequencies, amplitudes, and phases. This is not just an approximation — it's an exact decomposition.\n", + "\n", + "Think of it like a musical chord. When you play a C major chord on a piano, you're simultaneously pressing three keys (C, E, G). Your ear hears a single \"sound,\" but it's actually three distinct frequencies combined. The Fourier transform is like having perfect pitch — it tells you exactly which notes (frequencies) are being played and how loud each one is.\n", + "\n", + "Each sine wave component has three properties:\n", + "- **Frequency**: How fast it oscillates (in Hz)\n", + "- **Amplitude**: How strong it is (the height of the wave)\n", + "- **Phase**: Where in its cycle it starts (the timing offset)\n", + "\n", + "The Fourier transform answers: *\"Which frequencies are present, with what amplitudes and phases?\"*" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "aafaa267", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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IxLGBgMgDNkLlOrERW3AQvnL3Ywp/B9Xi0dF763rNpH6MJs/II+P3Fz7ujPWa+IFkSClIjiDu9LQVZ8acmnpYphbG63a9pL48PHqfzK92vICr9jzWFF2wVpRiCv57H1+YGYMD7+0nv8+Db0DB7/fOUz8uJNuxPmBvgU7+UpAcQaLkksFHuYRk2imCBAt0X4/Ony583Ne+04hNy+5LV8Wp2hr12PhhmcusnWFGggFyFo7AEOvDtfufaJLr5UAXHZKtyI4A5EqQVC21uiPBIL2UMucWyH5AtCVu9hYowJTLeaDAe6j/ssLfoRNzaKboFEGCBVw+cHZx2Nm5Xy4efFTZfSkK/ijYxVuLlqMPjtxlnjESUKeYs7cUBIbIdWFvMdi5t+znI89++a7rXZb/unGGhAMW61ZpaWmR5z7rV8z7b//AJ2QhVewC+eyX/l2OHD0u1119mVx2UXGz9oV//br82gtfJR/4xOck6AmRyfmRwscXDl61oW8uFhhYzWgrGqedlwQr8NyvCrFQCF23/0mm2+FcINF65R73vCkozdh9GTzQufCQKqZg0wqF2XogmQZrVGcmBA7M97NDJpA8MHx7wboQXLrrOqNaXg9saqF2d4AtlVYwkmCwvJyTB5QIBJ0NSJiVE4E4NDc2rybki10Qh8/eyu7LADK9MGE6+h1geznYuW/d/4NO7it23+ASkj2k1PEkOPtSdMbBhswBe85yyVSNY1HlcGTkrrIzdon/C7lHRu5xdcVgz1lOBOKAMw06MJGYB0iWIbaw+zKYtuwoqDigE7e3fXDd/9Of2GmsUR2wr31k/IGaXifxpmvqrtM/Nt3XAMV9CMjWy3kAiIhgseuAtSO1mB+NQ4IDhMWwxnXAfgLdt+UKdQ6IKSjYOCJlFPnZ4BBMEFdgf+oAByGcS9ZjV9cBMzLGAWMfTk2VdwEkwYTFOsXLX/gcufLSC+XOex+Qp7/glfK6t7xXXvB7b5D3fuQz0tPVIW99w6tcN296ZlaOnzwjYxPFZGPQQDJDK9sHOvbK/p4LN/V/D+243NUhgTkhVIsEi7PTj7g8uaFMdQ6z6wGlIhLzjooVG5yHx9ghEySQzLj37M8KynZYkOnD7HrgYIxNjAPmG6KDkwQH2JueVhtOJEqxKd0MeI60b/s9p29mh0zAOD5xpJBsR+EeXVPojtkIKJkRWxzmMjNyQhV1SDA6chFbHGU71gJ0Rm0GFPS0yh1rENSqJDigK04r28/vv1z6Nki2AyTUoGJ27FIdOysIB0hwODp6n7GUKlpQPXZTc7MRf3T3JeYcnp0pFnVIMAq5yFU4IIexv/eiTf1fjH3Y210UdENMQjvMYDE0fdx1FsV6UM4JpFzO44o9jykUZNBZAxt/FvuDBQQ+mFcIWpsiJieG3/1GRFticuHAVYWPR2ZPyVgyP6OdBAPkOXURFt38uzo3l/OAYGRHouhIBkchNjiEBxbrFJFIq3zqA2+Vl7/oORKNRuQ7P/ypnB0ek2c87Snypb/7G9m7a+PDXhAPNY6vLoowOMiupxBZsznZ/ZjCIQhWZ1pxQvwNAsWR0Xtc8x426rgs7aA62Htx4eOTEw/JbCq4he+wcXLyYdeh5tKd126oPtTs7T7fZTsEq1UebII1i8wBnVAXD1y96f+L7ip0SjQo26ETE7QsCwoQ9cBmTBdy4eG/WbrjfWamnXYHoIo5OBwbu89VYDNzkjeRbHeA64MzJwT7Wz17hvgb7BF0bDEuH2oe3UagUIcEmwOsDuEMQoIBfp/a3nRPx6FNCQwddnTslh2J3YWPHxy+Sxaz+cIf8T84Z2SckR8NjSa2bCbZ7nDBwJXS0hQpdMjoWe7E30C08bD6fSLnofeZGwFRESwxHXA+1qIS4m8g3tD2phcMXLEpgaEDniXdfXn/0G200g0Qh4duc9lfXmYaFjaXT8fnXbLzmoKNPzp7tbMICTYs1pUQjUTkVS97vnz9Cx+V27/9z/Ldf/t7edsbf18Gd/StuXmvfOlzzdy5t7/x1Zu62ddfc7n5/E++7y/FL4easzMnCh+f33/ZuhZU5cCckAt2XFn4+PT0Mc6fCgg4hCwWPP2bXKqgzXJe/yUSW+2QQdLs8BBtZYJA/pB62NXNoOcUbnZzgtl2DtOpCR5sAsLU/JhMKCuICweuXNeCqhxQsx5UVsvonqLSLBjAmtCZ94LDLlSFWwX7DihbAbp7YbVM/A9skdF16QCnh62IhADWGqw5DkiYYU0i/mckedplXYl96WYTIg7owtNJWFgts7suGIVcKNsdAWqkKSa7OoqW2psFnf2OOAAdeuimIMGw7T+j7S/7L9+SSMjZrxxS4gB0bnO2YTDQ+SsIBVGY3WpsgXuILvYjj0IRajCchB5Q4zogNNbjGjYDniXjOLUqQk0tzbPBISCgMA97ZQfktrYiEgL4/AOqyxuzEdm5HQ5YrCPn5GGjTs0fatpaE7JzkxZlpeztPk8izbFCQKOPezAONSeUOvVg38UbzgMpBw686LjS1njaz5n4ExxQHZuhpoamTdtflgJVfH+7e4YMrKlIcDofoCSEHcR2ONB3UbFze3nJpZgn/p1Fpq3FYG+4FXWqA7p4dbEfByXEF+Jv0IFfsFZuisj5A5uzvywFlu7avurBkbuYNPM5OF88rGbkIim6GYuycmBGiLZpp92h/xmbG3KJhA50X1JQqm8FnHUgXnVAgYed2/7n+MQDylo5YfaX2wFWmI5NOwrDnIvqfyAe085Qu7vPc1nxbwVtww1hydhcMYlP/AligJ6/jpyHs3/YCpjZrm13kWeDNS/xNxB86ZzHVgu5OtfqiFBht8rxQeGAxTpSFtgRjsyeds2f24oVhOsha2wyC4xO5FMN4G8wxxCJEUftoX+/WwUqZl2QYWu3v0ExTf8OcaiJrM6A2Q75DoiGwgzN05NHq3KdxBsm5oeNXYjDdtSpDiji6BmqeO7YXedvdEIEB9et2AyVsrNzvytZz9jib/Da1gX5/b0XSvMW7C81WHO0G8BMasK15yX+AxZU2h51Ox25uiCzWwkUj43dT6GQz0VCmPOihWA9sYFtf719vRcWXEFQkjmhun2JP623dVcdzrSV5Dy0oxA7t4Mx1gFd/QDPhe6e3CodsW7pT+xyj5tZyReJif9ALuxYiZPQVt0eNId2XFYQKKJIfIo5D18zl55xddUd7L902zkPuNvh+XA4PfWI+fok2LBYR8qiOx+QMIM3dyXs6T5USNhDFf2IUbARP4L5DEPaHnXH5VuaF1MOrWCcnB/h7DofMzxz0mUVotv2twNsaPZ0H3RbUrG7zr9ddSPF2NLbNmCSZpWAhH3RkmrRHKqJfzu2tcoYCa/tqFMdcCDS68/IzClJra5NxH+cnjpamPmA1zxmGVaC6dxWSTPMSWTSzJ8sl3TV7ezcZ84ulQCbZW1JNTRd3PcSf4FivO58uGgb9qgaJOy1UAgWeeyA8C8otjoCVDgB7ercX9HXg+1/p5o/xdl1/hYJQaDsgH3HVi3s1uuuw7pERyH/MpYcMvsDgP3ChapQvx0gQNvbXdzbQqBGG27/ot3k2iOd0r9NJyGdT0fnd54VV9ceCSYs1pGyXXXjc0OuYkwlhxrQ1NgkB1T3FZQijkqJ+C9h5hRLWpujsrNjX8Vfszvebzy+HahS9SdIdOpDzc6u/duyRy3lUD/WoHy4wvB3rVIi/uqq0wmz83dsz8Ku1O5wX88F7u661XlnxF+cUoXWtkiH6bqulB0dewqJFVhSnWQHhC9BskLPqtvXc/627FFL0YkVWFIhqU/8BwRkOmGGPUOlwOYMM4Z0MZdCIX+ibfvNeWOb9qia3d0HpVl1QMA1hvgPFFlPTRX3HhD4bHWGcinImcDC22FifsSIkYj/ODV1tFCIh0hIz8reLnB80En7o2P3UijkU05MHnGdN6qR88D+Vuc8hmdPVfw1Sf2BPbZubkDHdqX5dAiFtGsEng00UZDgwmIdKVuMcUABRVsUVgJ83B2vXXTXsSDjP5Co0AlV/E4rPdQUOiBUd93QLLqzUhV/XVJf0BWjh6lX41ADoi0xGUjsKXysn0HiH05NFpNZmFPXFS8qjyvhALrrVmfPYFYirVL9qV4+M/1I4WMUYCs91BQ6IHpVB8TUMVql+hDMDEPSolxXS6Wd27q7l525/kQXSlBga4s4yuPKyO9hijbcwzNMmvkNnCXQVe2wr7co7qm8A+JQ4WMIQVjM9R84T6DYClB8rcR6W4O4AtFR4fuogiDxjwBV58RQRKlkrIPmPNVdh3nKk/OjVfm6pH5A4KV/b/uVcLQSIi3u7l6IUOn64D/M7211Dmqspc1YpFYDdG6jWQKgI/zMNIVCQYbFOrImYXZWqQDy6o7KE2aOIkl31yExx4ONvxidPSPp1YQZVD/6oFopAx17JdocKwQfPZuG+INHxopddTsSu6VdHVQrZW9P8VmjStV/YE7pWPKMK7ZUC2xatSUeLKl4sPEXZ6ePFywOmxtbKrah0uzpOs98TYDvgeeD+K1ju2gls6vroElmVAttOZRXqdL1wU9gZsf0wnjh40rtUTUo+sFS04HdU/4DRRInYYYua+xNq0VeVJJPpeBsxGKuv0CRTguHsS/FXKBqgNyJji2YiecUBYk/mFwYNSINB/37rBSIFXvbiu4RuihI/IHOU8F2uyveV7WvrUWGpUVBYj/odtP7RdOxXcFYBw2+jhaVwK2OOY/gwmIdcYFERUFh1tgiA1VSATjs7jpYONggITKeLNptEn+1+w927KlqwgzBB0PbtdoRxWPiD7CZnFYWYmj3ryawLtLFP6pU/QXEGTphVg2LQ41O0M5nZmln5yNwyNCH3ry9WHUSZgBfSx9skJyjUMg/IElRTJhVPge1lB0du0tUqsUOT+IPmzKdMIPFWDXRwpKpkuQtsd8+V3faI9lerYSZ4/qgRwGcYAeErxiZPSOLubyFWGNDU9U6Yxx2de0vzFTO5hZZzPUZp11uIINVsTg8V2wZSZ6hnZ3PijFn1RxbrB3Vam5w9jK96pyMLi3iLwEqXOQAXOVwrq0maJbQM5U59zK4sFhHXGhlD9SksPmoJpgvNKBUjUyK+IfZ1KRLvbyvSjZUGiRUCweb5SUZmjlZ9e9Barcx0fa51VSYAapU/W4lc6ysaKNaYL5Qd7xoZ8fY4q9ZhvOLxXkuegZhtYAQxDnYpJcWKBTyEWdV8ay/fbBqFocOVKn6l9xyzuUGUk23B4fOWK/Lzo6xxT/AUl8XY6plcajZ31c8C2EmL+de+vPcgpyHI9qoFpirqjtzKTL0VzFmJHm68PGeGsSWvsTOwngYCIWY8/APeXewfDGmpSkig1V0A3HQwrTxuSEKhXxm3e+wW+U2qwVEz/2J4pgqxpbgwmIdcXXGwDe7lhsToNUFY8mzxh6N2I+e5QLlcrXmTZUebHZ3HSh8rAezEntBl4pOmMGmrBZgFg1Vqv5jcn7EKL/yNJiNay3Yo2ILDr20HPIHJyeKsQWHDxReq00M9mcdxbmXer0i9oLu+pHZ0zWPLVSp+pOR2VOmYwVgbunOGiTMIBSCwEQn+JFYJf46t+SLMfnEeDWBOA3ODw6MLf4Aoh1Y6uvzRS3Q1onIseg8C7EXvc6jiKsT49UUCunnjrOn/OkGstcUY/Jz06tJb9uASyg0pDr5iL1AtIOces1ji+rMRT49tejkWUiQYLGOlO2q64j1SEesuyZ3B8GnMJtMVniw8QFIesMitZadDw47O4tBbWphjMHHB0zMjRTm/KBjSitJqwns7HQyjkoif6C76vrbd5rCSS3A0GWnmIs1Syf5iZ0YO+y5obrEFlhS6YPN0mqSn9gLlO25VfUyrNlrkTArq1JVSX7ij9gyCDeQKtrnajBDU3fmTnB+jPXADhuOIA77emsZW4rnFsyto82y/eTFoHlr9lhLm6vgWk2QS+mKFcWtjC1+cQMp5sQg1qimfa5GC0GQ4J9NTdXk+5DqgdwU9gF5Gqo6J7dUKKTnd2PN4mwyf3Vso7lBj3Cpdj5di1s59zKYsFhHColN7b28p6s2nQ9OMl+ro80so5X8hpnYydjcUKFLBclwJMVrBQKbDj60hfDXxgTFmFqolx329hQ7fqFQnUvP1Ox7keoUYzCLwaEWNlQOWJt0ofj0FGdP2c7w7OnCLMNIc8wcPmpFX9ug6d4GsK8ZZTHXV7EFxZhaqJfLqlTn6Prgh2IMkma1dgMBmM8MyzKHM6pISOxEnx0w/wcdcLUCZyInmb+Uy8jE3HDNvhepHOQczmgLzK79VZ03tV5sgfCVrg92g5Ef2pq9lueW9minsVp2oM2y/Qyr2GIaEGokQAVaoIxnEl1bxF4g1NF7j12qAaHalBsPw3x68GCxjhjQgYAZYeUSnrW2wsSBmx7//tmY7Ejsqrr3cmnw0ZuToRkGH5tBd8qoKsbUqt3fAQkXnXTRHZ/EbisZFGN0wrPWKtWphVF6/Psotgx27q1pwqyxsUkGO/YWPqZdmd3A0mVSdTBpi+xaUJp00fNqiH1oMUZ7BAnPnpp+Py1ihAAFM42InSBh5YotHbU900IEojtztfiV2AcS3sg91COhCgY69rpcHyCAJf7o2C7tXqkFLpvlmRNmFiuxtxgDkaHDzs7imaIWxFrbpCveV1bARuwDQh3tNAWRYS1Bzs1xfchkU0ZoQIIFi3WkYNuhDzW1spJxwMZHW05QSWT3zJixZPFgUYshuqXoYt1cZlaSmaL3M7FvZkxxyHKr6ayrNXrzg4QMlUT2MqSKqbW0knGAQlV7/J9hd521wEZGd8bUWiRkvocq+KAQVLSyIbahZ9Ziz6jV57UAhWJdzNX7YmJhMWb2pKvzoZaFfgChSWtT3jUAAhS6PtgL7OR0Z0xdYos6t0DAhrMTsROd8EYivC2SqOn3Q0f4jsTuwscjjC3WsryccwlQazVjW4P1qbEh7xqAGaxj6vsT+8Z+oHvaKcboWdi1QlthQqBMm2W/OE3tqqnTFMDX71GONHpfTIIBi3XEdMaMzw/X9VBT2l1nPP6pJLISbFqdYkxzU6v01dCmzAEHJ52Y41Bde3FZyeDAUUObMgedUEVCZi5DK0xbO2P0zBh0TtUaJGy1SpUe//aiOx9ire3SEa1tZwzA7BjMp3Fgwt0fNmVGPVrjYozTAeGeS5Kq+fck2+uM0YV2vSeoFRCaaOcAuD4QO9HrulnzW4trfq2AUA1nJIAzEztz7QS5hnrZlGn0/hczc7OroyWIXUzMjxSdphpQZK3NnFwNBPKDqujDzlx/nFuw5jvW+rXel6IwCNC1NTk/UvPvSSp3mqq1G0i52GJGS6y6GZFgwGIdMZtG54WNoNPdVpshy+WCT0FJtLzEge2Wog812EzWoxgD3FaY6J5i8LGNhcU5V8u9nkVZS5B40ZZX7ICw117Zoa01YazK6oFWIaaW5o3KntgdW3Z27KtLMWatzTLtymwE80gXVGdMvRKqiCsuK0zaLFuJ/r3ApQMz5eqBLtbhGWVnrv1dl7W2oXLbLBcT7kPTVLjbyPjccKEzBgX4eojInJm5zY1516LcSk7Gk2fr8n3J1tCjFdBNXcuxH+dyfZiYH2ZnroXAnlSLMOrV3IDuKe1aRAG7nZjGk0I+PSJ97YN1+b7o2nasMFHMnaIVZqBgsY64Eqp4wdfapsyhubHZtZCNcj6IdWAmhx6UXuu5Dxr4gGsf5sn5ol0asbAYE+lwzZKrNS67stlTtMK0PKE60LGnLsUYgMQt1PSF62BssY75jHtQer0OveZ7dRWLdSjkzqXZmWt3MWZHXTpjilaYymaZxTpLizGnXbGlXkBwojtzR2dpV2Yb06lxVUR1W9vWGi0qQIdOhp25VscW5Dzq0RnjFHN3dBStMBlb7AOJ9lFVRNWd9rWmp21HoZiL60BRmdjF+NyQmTkJUMTVc0prjRYZYmYuO3PtzonVy2nKKeb2tisrTNosBwoW60IOPPX1hqCeGxOgN6449LJ7yr5DzYqsmPcjzVHpqVPXJWhtjkqvKubSrsw+dLt/PYsxpWsVOjDYPWUXSJZNpyY8jC3FBO6o2kAT+6xkkABvj9an6zL//dzCAsYW+4oxOrbobpV6oDst0DnO7im7QKxPLc4VPq7HzBgH7HF0cZBCEPvQ6zkS4PXqunTmnxU7c1FU5txL64oxc0Oe7Ut14Riz4DnX0C4wxxgz4wCE6/WYwe6A76ctN3Xin9iBduLA76peXZcAhcFCZ+5y1riiEbssMCcXRj0RkQEtMkTulnMNgwOLdSEHKpHCPLLGFult21HX74/hm4XW3VxGpheKyV1i16FXe2bXC91tMTYHu9Z84ZB4Tyabdllg6uHp9QCdFrp7ikkRuxhRHQfoREhEu+r6/fVGeS4zazq5iB1gHR9SNmX17Kor9z11YYh4z3xm1lgsO/QrUVc9QCFXd08xaWYX+veB2cYxZVtaD3RxcGp+zDhQEDtAgmpEqcrrHVtKO3N1lw7xHswhdYoxOM/Wy6bMobdtQHVP5WRMFQ6JXV2XfWYGZf535UVsQc4D8xWJHaCwjgK7w6DqdKsHTSWduWM8t1gFGl/0SCkId+oJno3CXMNcxuxNSTBgsS7kuCwwO3bXrWVXt+5C+Vi4HtqVWUPe93isbAt+vcBmWfswY0YIsQOt6oo2x+pqgekw4BqqSytMey0w99a16xLEW9tdM/KYcLeH+cWkKcjUe6aQpl+JC+YyM67iEPEWXTzNF87i9U+4q2dSd4ES7wv9OrbUu+sSQCQE5wdzPbJChbtFQECGRBVA4qre6nawo6PYHTM1P2oU98QOtG2tKZzVuRiDHIt+JhlbLOu6VM+HF2sHiseNDU2F7ilY6RI7GNPNDU2t0tdWtB2sF1oUjcIhu6fsQa8d6IKs10gph5aSZ5IC9uDAYl2IMW3ULjuI+m9M1tqVwQqT3VM2oJ+NSHNMOmM9db8GFHO1OoVKIjsTquh8qHcxptRSBrZYegYW8bbrUhf6vYot+vtyJqqdhX50XKKwWm/aIglpa02UvSZiT2ypd8d2udgCO99UYQYW8RIU+VHs98IC02WFqZ5LigztQa/jEILWax5ZaTG3pSlSKOZy9pSd9sractArm2W4G9EK0w5wZtGF/nrOI3OArSJEyuUcSoi3jKvYsqN9V92bGxyBgdM9lV1ecp2ziXegAxZrudfnFi1gh0CZxdxgwGJdiMEBQg9K7W2rrx1EuUUttTTP2VOWoNv9sWn1ohhT+nzQUsYOMNh4Yq6o+NOJq3qC2SDaCpMJdzvQM+LwO/Ki0A+0ZQi6cjl7yg7069SLhEjxe2uVKot1NpBeSrk66PVruJ6UFpH5fNiBVguj69KLQn9pkXBibpgJd0sYK0moekE+0V9MuFNkaAfJzLRrD+hVQrWnbaBQREYyld1TdjAyc9pVFPGi0A8GSqwOHWs94h34HWgBu1fnFnQC49l04L7UDiZhr7y8ZN5HZ2y97ZV1THOKuUu5jMxwtFQgYLEuxLgsMM2g1PqrREC0JeZKuFOlaodKBAkIB33wrDd6UwS7stTivGfXQvLg2dCzLrvrPOtSw4S73bEF3W1eFfoTkS7X7CltU0G8AZZgetYl5tZ6hVbWT9KuzAp0YhuvXW1lW0+wZum9h1ZVE1tiS1FFXG/QtVWcPbXM7ikLwFxa3XXppRCEdmX2ofd/EJBFWmKeXAfs0XT3FBPultgrqzEsXtgru8TRzvgPzJ5S+2XiDdOpyYKdMX43ve31t8AsF9cgYKcbmWX2yu0DpgHGCyAw6In3Fz7mTNRgwGJdiFUirpZdDzcmpd9fd2UQb8DmUKtEtJLHa7sybWNCvN+Y9CV21t2bW6MLybDBdGxMiDfA0gcqM4eBhHexxdiVqdhCIYglQ7glb3Xd2hTxrOsSdMV7C+ppXJMWqBA7LDC9KvSDfpVQnZgfLThREG+AFSkEW17bKwPseXSxn7HFe/SZtj3SIbHWolDHa7syLVAh4bVXdnAV6+aGmHD3GHN2zKZXP4JQx7vnwyTcVc6F87a9RxfUu9v6Peu6BHrfgfEfWqBCbLBXtii2UGQYCFisCykzqSmXSqTPIwvMcovbHGZSZBh8vGRszj33wSuViAO7p+wBKnL9fHhlgemAzotoc1EhO52ih7uXoEPJsW1B50FnvNg17bUQZGp+rBD3iDfowwMK/V4WY0rnktBm2ftCP4piXltgOnTH+wt7H3SST84ztnjJuLJmj7W2GyGXLbEF18b5IN5ii71y0a6s6DhBkaG3wJElmZ62RqCct0lb7Z7Kpjn+w2P0XMmuWI+0NudnTnqFtsLE2sHuKYtii4duIM5oCViAO9AxxvtCfyabWv2owbNZqOUE7BC3cfyH/2GxLqRoBWJXvM8cLLwEh24oIR04kNuueXVe47IrW2DC3UugEC4U+kvsXLwAyf4+9XxMpZlQtSW2ICHhZdclgMUyOriK3VPFWYukvuTt4uyKLfoaoHBnwt078Gw4hX4ol7E39ZLGRrergH52Sf3R54J+j2aCaHR8Y/eUXR39XidUzTXQrswadLEUcy61W4sXoBiEopAD7cosOrd4OPajnIAdyXZ2T3lb6Ncd/fadW2jR7iW6WAq3ltbmqKfXE29NGDFbuXwu8Scs1oUUd0LV+41J6XXQjso70NW4oOc+WPB8uOzKMJCbdmVWHHqhHPa60F/6jKKzjgO5vQHqT51Q9WrIcmkxt1ddBxPu3oFh165Cv8cd/QDXULArK5mnR+qL7mxEMsLrQn85Sxkq3L0BRfTJ+RGrzi3ouuyOF7unuC/1jvH5YVeh3+uO/lJHENqV2dMZsyPh3RxljRYZciaq13OUJ6yKLZinmIh2FT5mbPEOXUhHIcTrjv5SATvOLEULV+JlTsxrp6nCvG21hjHn4X+8PwmTurOYzchMarLwcV/C+4QZ0AnVyYVRWV7OeXo9YUUfamAx6OXcB5ddmVLK0q7MO3RnUp8F6mXHqtVJuOdWspLMFO1uSP2A+jO1NG/Vobe0aIhDLxPu3h96MQTbhkI/rgHrhwM9/r0Br0mdkLKhM6bUUgZr28LinKfXE1amXXOUG12vWVtiCx1B7LBIxb7DhkJ/rCXuSriPcd62J2DW6JTuurSgc2qtyHDC5GaIV2fa4hxlbTHoJb1KzMbYYou9sh1rRyLaLRE1/oOdud6QWUq5ui61AMOa5pf5EebTfY73u1lSd3TQjzRHJREpHia8ng/S2NBU3FynqHD3Ah30bWj3d+jvUCpEDuT2hHTpxsSCzqlCwj3eX/h4Kl2ce0S8SZghSQV1qG1CkHQ2JfOZWU+vJ6yUzquzBa1SZbHOGyCwWMw5ycoGa4oxmA8C0ZIDLYe8P7egm83rOcrl9kD52SVUuHtR6LcxoVpqZ0c7Km+YWhgv2Ftj3YA1ug2YPbKyTGNBxg7rfhu6LktjC2aB5yhgrzvIReLe2yYiwzPKc4v3oBCmzwpe2ys79LSV5NPpGONrWKwLIRMlFpi2bEyaGpvMAuMwniwezkn95j5M6Y2JRcU6Y1e2OpAbthVIjJD6MjFffE3GWtrM7Adb0Mn/qRTn1nmB2wLTnoSZEaUohTuTIhbMfbDk0Ft6LegO5UBubzu2O2PdZqaPLeh9kBYkEO8SqrbQFulwKdxpV1Z/4BTjFPpxRtAdKV6jn1V0T+GMReqLfk1CBIJZpDZg5m3TrswC6/5ibOm16NzSHe+TptWE+/JKztUdSurDxPyoufegubHF/E5sQa8dKChy/Ef90bkE7Dvsyac3mzE1DhQZ+hsW6yTsM4Xs2Zisbd1lsc4LlcjKqh0E5j7oAdg2dE91quvRyT1S/0Nvb/uANRuT0oT7whLsGBc8vZ6wkVdvjVqZUAXupAhjS70Zt3DugwOsnvVAbibcvY4tdq0d2q5scmGMCXcPOvqT6Wkru3LzCXe3zTLxLrZ0xfusKvR3xHpMkhcgmcqEu/cJVZvQa1neMSbfAUjq19Gvu6FtOregqNzTNlD4mLGl/mhxFnIethT6C+M/XAJ2jv+ou3W/a46yPWvHmthCkaGvYbEuZKAbyaVAbC9uBGxAJ2lwOIcfMKkfugCWV4k0Wvt86CBJ6jVTSD0flm1M0OWnE+7cnNQXKPscqyEkp5A0swm9kUbCDMVFUj9sPtSAPp0UYWzxdKYQuuhtojPe60q4a1skUl83EHT022I1VFYIAsHbSl7wRuqDfj3aFltK5ytSZOjxTCHLno/etgFXwh1doqR+aAcniIFtKvSXnrMpMvT63GKPSKggYI8XLX0ZWzyw7leFflus+8s9r3CM4bxt/2JXJp7UVYGIRR7dUzaBQzh8fx3G2V1XVybVxsS2Qq5zsHGYZsK9rqB4rmcK6d+FLQp33QGh1zpSe/T9hhoUSSqbwJwSZ84RbE0m52kpUy9KCxw2xpYedU049DLhXj9QqNMzhXQCwgawlukkL2NLfXG7gdhjNeRez/LXhOSN7gIktQW2ktNqHovuRLFTZMjOy3qicwjILdhk3V9wsFHztlmQ8dJe2a5iDND7DhSdadFeP+DOs7CYLHxsW86j9JoYW7y07rev0I9YB5t2B55b/Itd2TQLSGcy8uFPfUGe/oJXyrVP/Q15yv/4bfnzd35IRsYmNv01ZpPz8rVvfV9e/5d/I0/7zZfLNT//HHn0054nz3/F6+XzX/5/spT1TtGvu01s3JjQUsY7sAmE+sLmjQmSeMWEOyxliod0Ulv0RhAbE9sK/aVJEdiV0VKmfoyVJFRtI28poxXuTJrVC9izQDUOoCLvidulQCzGu9WEey5jVJPEC5sy+wr9axPu7KyrF9jn2WzdD7AX0hbtTLjXD5wBHOt+dL9i3qVt6LPUXGbW2LqS+idUbSz0gz4tFGJXv2eFfhtji3GMaWkrfMxzS/2YVGsHXHtgl28bWviIWEjHGI+s+y1zAym396AjiH+x70TsIZnMorzstW+Wj//DP8tCKi1PvvEGGdzRJ1/5xnfkN37nD+XU2c0l9z7zpa/In7zt/fLN7/5IOhLt8gtPfIxccckF8uDR4/KuD/29/M5r3yyptNOhUj+QLJtWFgs2JlTXtv1T4V4v9CHB1o0JLWW8A69FmztjQI9RqOYP49ncIhXudQL2CqnFOStnCmlc3TFUuHvSsY2kNuxb7Ey4d5c9qJN62m/bGVv0dUFtTYV7fZhNTUp2ecm8D1t226yGHNydlxSCeCEiMzN8LCz0I+GuHWN0PCS1tu63P6Gqu0FnFiYkS4v2uoDktVPoL93/2SpgZ2zxJidm6760UznG5GeiUsDuhXW/rTkxfV1mvaNFuy+xb1frIR//3D/L3YePyFWXXSRf/fz/kfe+5XXyhY+9W173ypfI5PSsvPldH97U14lHo/LS5z1L/vNLH5f/+8m/kff8xR/JJ9//VvnXT39Adg70y+333C+f+Id/lnqTX8SLG5OOqH0bk7Ue7hkzZ4/UO2FmZ0IEsO2//tg+U8gBRYD21s7Cx+yAqA9asQUr45hKTFnr4Z6ZldTivKfXE8bYYqNNWbnYgtlTpPakS2YK2TYL1QHiJZfCnc9H3WMLrIxtLPQDnVCdTo2brg1S3+fD1tiChLsuFLE7xhvrflsL/R2x7uJMVFkxIx5I/YsxNhb6y89EzVuGkxoX+n1QrFsrYKdQqF75dG3dj72pjXQrATsadmjR7k/sjEwesLS0JF/8t6+b99/02t+VeDxW+LcX/+Yz5MJDB+TWO++T+x48uuHX+p3ferb84SteZApzmv17dslrf/eF5v1v/PcPpN5oNV9egWifHURB4eQamsrgU4+NiWtenaXFmNJkHgJPRg14JbUB871WLJ4ppOmKFq+NCmZvYoutQOGuZ5Yw4V57css5l9rTVgViaWyZmh8z107q1xmDYphtM4XWU6mSehdj7I0t+Y7h1uKMTibcaw72/jr5ZHdscVsdUuFee/T+Dl1Tts0U0gn37rZivmhijrGlHvgltph8nXKMoYC99kDMifmz+nfgDwE7RYb1QOel8WxgzIaNrHGM4fPhS1isW+WOex6Q5NyC7N09KJdceN6aG/XUJz3W/HnTj2+p6IZfdP4B8+foRNGO0pONiYUzY87ts0uVWT02JhmfbEzQuRNpLhbTmTSrb0LV1plCDp2qWIeE+zIT7nUo9Nuvbnegh3t9QZfJ8kq+6NXU0GStAhHg2nCNANeMayd17OhvH7BWRFa6tsEmlQn32rJcUui3eV9qLDrVuWqKxdyao/cdOBPgbOCHfQfOWjhzkdrissC0tGO7/L6UCfdag0KM7ui3Obagm1wLZJkTqz266AUXMlsL/YACdq/nbNsdW/S5hW5T/sTejGudwTw5cMkFawt14NLVAt6R1c/bLqdX59719dTXgnIxm3EpEHssViCWbpxgCcGEe/02Jolol9UbE2Mpo1Wq7Lyse0LVZtpbu6VhNbTlVnIyo+Z0kuozv5j0TaEfdLe5E6pMuNeWSaUS72rrt1aBCHBtboU7k2Z1tRqyPKGq17Z0NmVmdZLaMZ2aKBT6Gy0v9IMetXZQRFb/WZc2F/pxptKjJzgztx4d/fZb95eLLeicQs6G1A5d8EKhP25xoR9oIQhjS+3R+1LbBahrBew8t9SSTEmhX1ug24gea4SY6Nh3Ev/AYt0qQyP5wD3QX/4w6Pz92dXP2y6f//LXzJ9PvvEGqSd609raHLVagegMTXW6d0zCnXPraorbm9vuwFOu7Z8J99qBQ6NbgWj3xrWpsUk6IsWkCG0haos+OLZHOq0u9AMm3L3tyrUdzhaqb6HfZTVkueNDpDlq1jgHJkXqF1u6431WF/rXJtynzYwQUjtc1v2Wi8iAW2TIhGotmTGF/lXr/oYmq637C3vnpkjZnA0J71iYcrGFCffagnUDrjx+iS1rBeyMLbVEuybkC/32WveDrnhfYR5nbjlrYiPxF81eX4AtLKTyCYNotHyiMRaN5j9vIbXt7/F///2bcvNtd0mivU1e9oL/saX/+8wXv7rs3588MyS7BvolmUyu+/+Hp04X3u9o7Za5OfsVwe2tXTKbyXfFDE+ekuac3Ulgv2Lma6juh1hjYsPnyWsiUgyO6aUFGZsalliL3QHTr0wsFJPtLY0RWc6IJBftfT4WFhYk1tQhM5LfkIzNDslAbL/XlxVYRmfOFN5PtHZbv3YArBWppXwMHJo8JQPte72+pECSXV5ydbZGG9qtfz5wjVrhPjUzKc2NLeJ3sC7axnDyZOH9eEtCMqlFyYjdBY5ES3dBvDIyc0a6WuxO5PgZxG6HtuZO69eOlZVGaW5slewynuEVOTt+UnrifD5qQTq7IKml+cLHkZW2LT8f9V4TY40drkL0zOyM1ZbyfmZ4ppjzSES6ZX6u+KzYSiLSIxMLQ4WcTbyhKAwh1WU8WTzXxps6rI8tTcsRM7duRVZMwn144owkIl2h2SvWk2RmypxdAFx6mnNR65+PtqbiWjGWHJLZ2VnrC9B+ZXj6jO/y6QmVT0fOA8802dqamEh41+TEXWKduO2uw/LOD33KLJ5/9YZXyY6+HqknM5mJsjOdbEZfp75+Ul3mFmckt5ItbEx0V5KtQIGoi3NOECLVZyZdfO11RHt8sQFMtHS5Nt443JDqg47WmXTxtdcZ8UlsifSUfb5JdZlVzwYKXm0txWSlraBohIR7uZ+BVJeZjA/XDr0vTU+wq7+GNnbJzLSvzi3YG7liC88tNWMmXZxlGGtuN44xtpNQFu2wd51fLDpWkBqeW9Rr0ma6SmILqQ3o5k9l530VW+AYo4tzjC21Y1q99nDPce9tpzPaV3h/MZeWTG77jSVkffSZsMMHa0fp88HY4j/YWbdKPJbf6KfT5X3CU+l85108XvQF3iwPHTshr37TX8vSUlb+5NW/Iz//xMds+Wt85bMfPGfH3fLy8roV38xSqtBFAHb17re+bRcMNu6RUzMPmfdxaG9ri1tvg+NHRtOnCu93xXulq9P+Yh3oSw7KqamHzfsLuaSnqocgMzdSTJgNdO7yxX2OrUTlWLLZFOmgRMw2ZaSr3R/PtZ/AHNR8FwFokF19+6SlqVjosJWB5T0yPJfv6kkuTkl7e7svitB+4/RcPn4788g6Ouwv1oHemR0yMptX5qdWEFvOl6Bgy/qNQn/y7FTh44Hu3dZc23pE4xF5YPx20zll1NetOUmoWVSkOmAW8Yqs2tg1Nstg7x5fdCHtWNwlE6l818bc0rQvnmk/cmy6WOjq7xis6D7X83fUNdlbsDhMr8zLrsS+un3vMBX6IUJ1GOzZK4m4/a/Dpsh+OTp5r3k/lZ2T1mizRFq2nnMi63N2uliMibW0SX+3P7qf+1I7ZXYsv2eaz87UfN0Ka+yaGy/mPHb4JOchkpD4WEIWVl2PFmVB+hP+eK79Nq8Oa7PDzp690hax//nY2bRXTs0cMe8nF6cl3hYz+2riD+w/+dSJnQP5weAjY+XVTM7fw3JyK5weGpGXv+4vZTY5J6986XPlBc/+Vak3k8r7PNoSN5sTP4Bh8hgq76gQtZ0WqR7am9v2eWSanrZ+l4c059bVfl5dt/LNtxn4c+v5R/Rwr/1MoY5oly8KdaVrRyabkoVF+20s/Iieu6KHXNtOd1zHFs6OqQULJfPq9D23GaxxnbFicU5biJNazavr90WhrnS2EMQs2EOR6oK9vj7X+unc4ootnEtWw3l1OfM+cgidPhFTIDeDHI0D523XPrbo9dp29LVOL4wXZjKS6rG8jFzjhP9zYowtNUGfB/0wr86hM9ZTKM5h9NHUQtGZgNiPP04/deCiQwfMn/c/dKzsvx8+kv/7C1c/bzOMTUzK7/7RW2RsYkp+638+XX7vJb8png/Sjds/SNcBXXTo9Cq3wSLVAZu96dR42WDvp0NvOovuUftnEvgNveGDzVBbq/0KonIHG70Gklodev1zqMGz3B4pevwztlSfpdyiSVb7rdBfunbMons0l59fQaqHfs3htdja7J+ZxHqtY2ypDRM+Tai2RTqMTbtOqpLqAnGNHwv9pWcsPBtInJHqMqkSqt3xPt848iA30+uKLcx51AK/FusgYIcQFcA1ZpYC9qqDpgA/FvpL4yDXjvqsHb7Jpzc08vnwMSzWrXLNFRdLoj0up84MywMPPbLmRn3rpp+YP5/0uOs3dWNnknPy8te91Xy9Z/7yU+T1r/ptsWJxaffPxmRNwn2BG9dqM5sqzvPCJhDqC78AexBdPGIHRI3Xjni/bzYmpWsdE+7VB0kmvx56S5NmPNjUttDf0hTxVaEfxaPmQpfoClWINcDdGeO3taN4vVCoMuFeXVAc14lIP3XlYo+knw92x9Q2trSjOOqjQn9nvE8aJL+Pho0u9qakukypXIGfREJrYwu7+qtNanHeJez1094DnTEo2Dnw3FJ99GsOzQJ+KfSXrnV4xtNLC55eT+Bji49EQqX7aLiREf/AYt0qLS0t8txn/Yp5/+0f+IQspIqqvc9+6d/lyNHjct3Vl8llFx0q/P0X/vXr8msvfJV84BOfc93UVDoj//sNbzOz6n7pyTfKW/74lZ4luVNLCy6LL20N5wf09U4vTBgvelKbjYluk/YL3TrhzmJuTZ8Pvx16E0i4N7asfrTi6iAllWMKoJjZZKbVNRgFs59wdccs0Ea32mjxRLfPCv24Vv086wMaqY6NnT4s+ilhVlC4q4R7Ml20iibV2Xdg1ixADE9Eu3x1W/VeiQn32scWP9Hc2CwdShRJkWH1beyQK9AiQz+hn2fkbjJLKU+vJ2joTnhY2GnbUf85xnBfWksRmd9iS6xkzBGfj+rPq5vLzPr23KLzpTPpYqMGsR9/ZeZrzMtf+Bz56W13y533PiBPf8Er5VFXXipDI2Ny9+Ej0tPVIW99w6tcnz89MyvHT54xNpeaD37yH+Wu+x6UpqZGaWpqkje/+/+U/X5vf+OrpdbohAgW8VirP+bV6QISWtHRlp6fWzfhuwXSZnQiwW+HGmczdXoqb1HLQ291wawVbWPnt9cdOkWRcB+bGzIfT82PS1/7Tq8vKzDo1xvW6eYmpzDqD/RBDJZa84tJo9InNYgtPrJX1kKhseTZNbZapHJMEtKnNnYAa10i1l3o/sKz3qHm2JHK0K+3vNWQv3Sl5ebW+an7y3b8LCJz4qEzFwlCoQNykdeXFFwbOx+5xQDkaFBAcrpi8KwPdu7z+rICg587+p1rPjp2X3Fu3XLOV91f1o+FUbbVurjhF3DNqen5wtqxq2vzo5tIMOfVOSSi3aYhA0U6uIEgVvpxDQwj/joB1ZhIpFU+9YG3ystf9ByJRiPynR/+VM4Oj8kznvYU+dLf/Y3s3TW4qa8zm8x3suVyy/L1b39f/uOb3y37Vg+mfB54sAnRCncqRaqtbh/z9fPRU9L2j05SUh30prXVZzZ25Z5pKtxrmTDz39qB5KmeW0dbiGrb2E35thhT+kyjKJOlCrFq+HleXTlxE2NLdZn2sbodYK+EuagOfD5qZ2Pnx+ejO15qo5vvIiWVox1Wunw0r+6cs6dohVm7nJgP147OWK+ZPwVyELCni3bRpDIgrNFjYbTlqB/dyCgyrKW9sr/cYgDWDbeNLkWofoGddSVEIxF51cueb9424pUvfa55K9cxV4+uuS0nVH24MXEKMs7cBy4u1WMuM1OwsYORXVfMXzZ2AApEdIw6h3ck3GNUElU9oQr1st82JqVrHpTMVCFWsdDv80OvE1uwDjrP+96e872+pEAwnZoosbErFkX9Qke0y1w7YiR+FogX+to3J9gimz/0+rHr0lnzjk886Eq4+zFG2gaSZbDocehu89++1Myti++Q4dmThdgy0LHH68sKBPpMm7exi4nfyAtQsVasSDa3KMnMtHRE2Zlb9a7cuH9jy9DMCfM+HWOqByxFU2osjB/PLU2NTaYI7ZzP8bz78eew3i1mtQvJzyLDhcWkeeYjPoyR9scWf3akYa1w8ulaFEfshp11AQbWK/PKX9evAX1Nwn1l2dPrCWLgMYlJn9nYlfdwZ/CphULVrwlVJEBghQOWV9v+SeXAMnIplyl8jMOj39cOKtxrNVOoz3c2dgVlrZ5bx9hSFVDU0nHajzZ2QD8bsNHVs6HJ9kGMhkUPQLIM1j1+RCfNtEsBqYwgCFBx1sKZy4GxpZrz6oqvNb9afOm1A2Kypdyip9cTxLXDCH19Nham3LrH2FI9/G6vDCBe13MY2ZlbvXy6I+wNSmyBqJb5dH/gvwwK2Z6NXXPUd/66DhjG7ST74EWv7bVIeG3sHGh1WH1wOHTNq/OpiggWOF3xYts/7aiqg04uwcaupalV/J5wz2RThTkhpDKCElu0SIFrRzXn1aWK99inCfe8jW5xxiWfj+qg72OXsvzyG9q+fzY9bayBSeX43bq/vFCIIsNqAEtAP8+rc9noNhWtobWLBQl3ob80tiDP54hbSKVuMf5/PtDVr6+dQpDqoJ+NiI/z6Z0qnw4XC+bT/YE/T0FkU7gDT59vLXrQ9q833Wzdrda8ulHfF2NKr91p+yfVK/SjENOmkpJ+w7VxZVKkKvh9ptC5Nt18Piont5wzHfBBeD70bCGoEJ15FqQ6sQVxRc/28htMilSfqflx33dsOyIW2OjmWTHrB6mMTDZtuvoDEVu0EGR+jHPrqrx2IGfgx3l1ALmaLibcq47but+/sQVz6xqMja4Ym/ak6vgh28Pdwdrg6+fDLTIs5vnI9ikt5Po3n97MfLoPYbEuwARBJVI+4U6VWaWgqLUYABs7ACsLtv3XLqGKZ8OvG5NyawdViFU+9PpY3Q4YW6qLtqpuamjy9SyejlhxbgXWDdroVk5QEmaAXf3VBevGdMr/s1CLCXd3BwSpDN0lEG2OGcsvv6KfbZzF9MgKsj2CsnaUzuqkiKz6bjF+fj5go5tQNrrTqkhNKo8tfh4LUyoynMvMGgtHUt2cmJ/Rax9tUv0Bi3UBJVvS3ur7pIieHWMS7iueXo/f0TNjoACGpZOfcXu401KmuglV/x5qQGe8qEJEZ4w+sJGtA6vI1NJ8QGML145K0fewM97nW3U7gAUfrPgc+HxUjo7PQTr0Yk2kjW5lIDY73auI2drC2o+wq7+66C4BFMr9LCKDY4VOuFOEWhnICQQ1oTqbmjQ5HbJ9phcmAuMWAygyrC5Bse4HcIvRjhUUClU7n+7v52OtjS7z6bbDYl1AmVmYkBVZUUPai4cCP6I33ku5jOkMI9snSBuTcsVcUtmQdt1B4vdiTHNjs+mQceDzURn6/pUOs/Yj2m4I6naqEKunUPXrPLJzPR889FbGYoBs7ADWPt3dw2JuZejXl+5qDUZSpNhxTCoXGeruAb/SFWPnZbXA3q1oYye+L/QjZ1Po6pcVk9MhVZqF6nO3GNBV0nnJhPv2wb3THUZ+35fm59YxJ1ZNtxidT2+Pdkpw8umL7OoPW7Huac99hXn767/9pCwvb3woed7L/1h++XmvqOYlkDIJ1fzGxN91WSih0AHmwKRI9ZIift+YlAafZHpGsrklT6/Hz8ymp9SQ9kZf29iVbftXCR9SWTEmCGuHUSE2RcpaKZGtAatIPZspaEIQJNxpo1sddTuUv362sXPg3LrqESTrftAR6ymcvbCn0upssjWQVMJcoUDFFp1w576jajkPFLqQM/Azpqufrg9VI2g5D/0zZLIpdvVXAFwRICQrd2/9ituCmzmPSnB1bMd6zdrsZ0q7+mmFaT9VfeLODo/K0MiYfPEr35BXvuFtMr+QWvfzh0cn5OwwF5FaoBfnIAQeQKVIdcgspQJlYwdQyG1udDzGV4wShlR+6MUgaz/b2JVL7GBtpAqxWl25/l878rOF1FxDzn/YNhh0r23sOmM94nfwMzg2utnlJTMDglRnXp3f1e2Ac+uqA2Jy0IQgTY1NrjWQSbPto90ejI1da0KC1FmXWpwzZzOyPYJkgVnOmYAC5UrdYiYCFVsizVEjNHTg81GdtQNxxe9jYUrzejPpKckt5wXYpNLmF/+vHYAW7f6i6uXh1pZmiUZa5Se33iW/9co/MQU84sWQdr0xCcbG1ZVQpdXhttHPBoa0+93GrphwZ9t/NQjioVcnRRZpo1s9dXtQNq6q6MiEanU6p7SNk5/BoHnOFqoOwRSRFX8OFHJpo7s9FhbnTGwO2t6Ds4Wqvy+FiCwIhf5Ya5s5gzmwu65aXbnBWztoo1tZod+xIG5saHKNRfAzjC01iC0+t891SES7pakhL7SGGwjmXpJtusWUiAwDF1voNhW+Yl2ivU0+88G3S19Plxw9fkqe/3tvkLvue7Da34asQ9KoKFbV7Q2NgVC3lyqYqULcPkEsxqxt+6eV3bbV7QHcmEAp164GiuuiAtk8+tmAdWQ8AOr20o3rjIqfZGvMMLaQc4DXFF5bQdt7lNrosqu/8mR7W6QjEOr2co4g7OrfHnrPFpS1A/DcUjnpEreYoHQ/lNroJtPTXl9SAObV+d/GrrxFO13KqiFg18JeP2NGmMSKhUc2OFTJLSYgxVy9dqSziJ8Lnl4PWZ+aRKxLLjxPvvCxd8tFhw7I5NSM/M4fvFm+/u0f1OJbkTJoG69OqCsCoG4HsZa4qwuMwWd7BFFFtGbjmpooKOnI5llYTMpSANXtoFNtwjmXbHtMB2xIe7kuMCjptOUW2TxT+tAb0NhCu6HtgdeUM+8PrzXdrehnsAbqfRSFINsjaPPqyu2hsLfCHotsDRQ4dREcc2OCAot11T3TIkeAXEEQgI1uh4qTFKFuD7cANUixhV39lZLNLUkyPRP4cwtzHttjWuXTcWZpDkg+PdISc80M10JbYh81k5cM9PfKZz/8DnnCYx4lmcUleePbPyAf+fQXa/XtiEIvykFRmDkwaVa5d/usVrcHREVUOlsISpg5tQEjWz/UYA6g34e0a7qZUK0YnYgO0qEXKkRYazlQCLJ1Mtm06XgPYmzRCdX00oJ5I5XZ2AVF3V76rDMpUo3YEpy1A3so7KUcWOzfOrDexrzQPMGYhVpuHzWbYlf/dgiiBWbZYi5nsW+r0O/qnArQ81Ha1c+9x9bJCzNXzPvNjS2uWB00IQi7+rdOUAv9pYVpigztpqan5XgsKh96x5/K8571K2aR+Pg//LO8/q3vk6UlZ9NNarIxCeihd+3cOrb9b5XZ9LTbuz0g6nZHra+96Pl8bJ0genOX27gi+YP5a2SrQ9onA6lABBSCVMaM2ndEmqOBmIXqgJ9F/zxUuG+dINorl/t59Hwcsjkw5093nAUpobomtiilNtnOLNROM0c0KLRHO4td/YIOQnb1b5WgjnZYIwRh98OWmV9MSlad9YLUlYuufldOjLFly+hCblBmoZY7oyPfgdcCqaD5Rc22DwIUGfqHmktbGxsb5Y2v+R15w++/TBobGuQ/v/sj+e3Xvlkmp9n1Ugug+M5kU4G0OSw99KJ1HS3sZPPozT4KW42N+QG0QYGWMtX09g/WxgTz1XSnIGcLbY1kBoX+nHkfczQ6osEY0l52bt3CBFWIFRxqYDkbpENv6fPBzsvtiMiCm1DFXopd/dVJmKFTQNvzBAGdUGX3Q4UJswAl2wE6jPXPxNiyNZADgAg1DN0P+a7+Yn6HbIzed6BrKkiFftCtCgiMLVvHvS8NVmwp7ernXMOtkVqcd7modAfILab0eWdXv93UzYfmBc/+Vfnbd7xRYtGI3H34iDz/5a+XhRQ3HbU89MZa243CPUiYzVajs9lakZk0VYhhH6SrYbGuMhu7BWVjF7RDr1EhqqQI2/63hr5fmIUatEJ/3lorX2CC5dZ8ZtbrS/IV7o7+YB16AWNL9WzsgpZwNzP4VFc/k2ZbQ8/LCNIs1HJJEeyxFrNpT6/Hz13bQSv0A8aW7ZMX3Wkbuw4JEmu6+lXhmmxtXxq0YkxpHmcWXf3LeUEl2cYs1ADGFrdjDNeOraDvl8mnt8QkSLRHu6SpoanQ1Y+CHbGTug6NeOJjrpXPfujt0t/bLWdHxiSVztTz24dPJRKwhAjAIV7PFmLCfWsEWUVUqnxJZ1NGGUO2/mxEmmOBsrFz6CzxcCebJ8idMQCKW1hsOfBgs3lg+6ftu/TrLJhd/dPs6t9uRz+GtAdM3Q4oBNk+UwFPqKJTsFUJJ3lu2ZpFqrbvCuLeg7OFts/UmkJ/cGahlo8tPLdsuys3gGsH9lPO/F/sw3WXKVkfxBU9DiNIs1AdKATZPkEeCwOwbnTo2EIhiLVUdVdz7VWXytWXX7zu51x0/kH5wsfeLRdfcLCa35qs4h6kG7xDb+nPpRW5ZH1SJRapQSzmQvmiLZQYfLarQAyeun3N2pGalBXOFtqet39QY4taE2mTunlQvAqyRSqAYt/p6udsoa0RdHU7YFJke5gEY8AdH9Z09aufl6zPTMAtUkH+2Sh29aMTmWyOcOQ81ExUFUvJ+pg5XcohI4ixBQ4nHarIxJzH5tH5Q7h26TEZQVw70NUPByWyHfvt4K0dpS44FJHZS36qcZX49N++bVOft6OvR/7xI++UsQm2XFaT3HJWkqqNNaiLiyspksrPFgpiYaGWKhEceIPW0q3tG1Mz84WByzs793t9Sb4gyHNBHDqjPWa2EJLt+aTIrCSiXV5flvXkZ2UshCK2nJo6at6ngnm7nVPd0hQwi1SnCIlk4PjccGG+Z2/7gNeX5ct5hkHfl6aW5k1SJGg29LVgLj0jOafQLw1m/l9Qn4/R5BnzPmPL5gmDiMzp6ofoxXk+uC/dpI2dfj5CEFtm0lOSW84Fco9Vy0I/CjHx1nYJInjunZhiXg/BPL5XnaB39Bdyfc2xglAfz8lAxx6vL8t6sstZszcN+vNRrqs/iHssv+OZX0BLS4vsGtxh3kh1gN8sktDODI12ZekVJHSrOpRTC8oihYTXxq58MZedl5sBPvfarzqoGxMkRfS6yKTZ1hNm+RkawSz0a4tlWKTAgotsTBg6p8oJhcjG4DWkZ6EG9fmItcRNUsSBsWVz6PuEuX84uwSR0q5+dBSSrdrYBXPtKLXZosJ9c6BrSs9CDaKNHUDhttGZLWSsDil03/K+NBbMQn/push9x+aZCUHnlOnqZ2zZMpj/6MqnB2wWarmcx2IuY4SGxD6CZ+4dYtzq5Z6Cj3XQgEJKL5w82GwO1yDdgHZOlW5ck+kZzhbaBMlM8G3sHJhw3zphsIMAUN62NEUKH9MKc3OE5fnQPxsUzFAhkvXRRU3M7QqijZ0DkyIV2tgFeF/aga7+wmyhXKGLimx+FmqQY4vuOKbIcOtrh7GpDuAsVIBcji5EcvzHdgTKwY0tOm6msymXCwopD4T+cNYJ2/PB2LKNtSPWG8hZqKC1OSJtrYnCxyz220lFEsZb77qvKhdx3VWXVeXrhJ1SFVGQQVLECbQIPru7OQNxI4vUMHRO6dlCecXlisykJ6W3jXZlm107OqPdxgc/qGDjdUoeNu9zY7I5XFZDAV478irEXhlLni28LvoTu7y+LKtJL7mTA0F+PvIJM6iz8za6UPYH1cGgWsysOfQGU93u/Hwjs6fM+0yKbI6wOD7Atq4j2lUoPiG2BLUTqKoWqcvZwFuklnbWoRN5MZs24gZybsKydjj7KlhvO/Z9B7y+IMtBB2IY5mwDjDSBCMrpikFsGeyMe31ZPrNILRYsgoZeG9ExBielIOd4qkFY1g7n54OTkBNTd3UxugSqWPfbr/nzig/e+O93fudfKvoaJO/dHhYVkZMUOT11zLzPzrotWqQ2NEl7gOd0QQGDJMjE/Ejh+WCxbgvFuqCvHUyKbAls7DEno9z9CyIQuhSKdbTR3RB9j/IWqcFNEpTOFppaGGexbiudUyGKLUyKbAzm+mnbnSB31jmxpVCsS43LfrnA60vyTWwJskUqQNxEcQ5FOmdPvqNjt9eXZTWhii0lnZecLbQ+EHPrQj/mlQcZPP+pGadYNy6DnXu9viQfNTcEW0QGkRC6c9GpjrfZ9HTg18vK8+khan6J9cnZ6ePmfY53sJPGajzUlb1V5wcJOzjwwm+2nA9tEOlUSZG5zIxpaSebO/R2xHoDa5FadiC3KmKTcNvYASgQtWKZm5P1wXwMqFQB5mZgfkaQ4WyhyuxCgo7+GWmTuj5hsrHTSRHgJEXI5tYOzPsLcqF/7b6UMy+3mlANMqar31WQ4fOxHjjzo7M9LLFF70tR0KXV4ebXDrgfBNUi1YE2utvfe+h8YhBBF12H6uKnCHV90Nm+pPLpQS9s6q5+jg6yk4pkap/6wFvL/8OKyB+8+V2SnFuQT77/Lyv5FmQbgQf+s/ChDTL4GdG67hTpkBDqax/0+rJ8sXHtDnjgKTeXjCrEc5MJkY1dMSnSK6PJM0UFc4IK5k0dagI8C1X/jFDiohMZylxYcQXZfqu6FqnBPvQ6P+OpqaPmfdrork+YbOx0UsR5LpAUCXo8rVoxJh5sdTvQzwIElth7wcKMlCdMNofO2Ww0edq8z9iyVRu7dgkyEBjiZ0Qi2enqj7UGd/5rVQWoIVk7HCASyi3njPUyWctKqYgsBHs0iBkK+1Lsu4L/I1cltji55iDTVjo6KDUpve0cHRSYYt31V19+zn9raW7Z8HNI9QiTjR3AoR7dg+NzQ+ZjBCEW6zZnkRp0FRHQs0CMAnMxaWbZkbVoBW/Qbez04a1YrGPn5XqEyWoIwGoL3YPoKHR+/qAXGapnkRr850MnfhBXFrOZwIujqrF24DUVZBs7ByZFNk+YOvoL+6vmmKSzqcLrY6Blj9eXZSVhs0gtPZshYYbu3KCLo7ZLmGzs9BrpFOtmUpgttN/rS7KWMHXlAow2wYiT3ErOFKNm05PSHe/3+rKstUjNFyZA8C1SC2ez1ZcEcx7rEzaRkMmnx3tlYm64sC9nsc4uuAsMCGE79JbrniKbs0gNw8YVSpj2SGfhY1phnpuw2dgBWh1ujrB5tzvQRne7FqnBL2oaG92mYnGOVpjnZiZkh941sYVCkHUL/ZilXO6+hebcwufjnITNIhV0RLvNzG2wvJIrzEYlGwmUwxdb9M9P3EBAtbCYVPct+M8HivoYceLA5+Pc6HuTCIFFamluJ5NNSUq5KRE3Op8c9JFS5Z4Prh32wWJdQBKq8JkN3aFXz45ZyFsdkvUPvfEQWKSWex1M8WCzuY1JSNaOjmgPkyKbAPao2NiH7flwrR0UgpyTsFmkFmx0XQl3Js3ORdi6ckv3peigYlKkPLDqQkECoECBQkUY0DGUxbpzEzaLVADbOv064PNRHpz1tUgmPCJDPVtoWrKrFtPk3PsO2IdCYBW+Yi4dY85FGJsbYLetXwd8PsqTzS2FM59eIiJjPt0ugp9ZCQH5A2++UAXfWd1RFHyrw/wBDi3tetg0OfehNyzoTRgsQ8i51O2Todu4Mimy9UNvrLVdIs1RCQP6dZBanDOWXGQtYSzGrEmKMLaUZTGbLlh2hSm2MCmyOXSyvTPabeb9hQH9OkBnMvZgZC1hTKgCdk9tzHypjZ0aexBkMMrBsZLGTGV9diPn6OgPiUXq2n0pBeznIrQ5MXb1b8hMejKU+XQteDH5dNWZTLyHxboAAF97B2xaw7IxQes6WtgdmDQrDw+9eY9yzK4j5dTtjo0d1O1doblFTIpsTBgtUgEst3RhEp3bxE1YLVLXCkHys4XI+ur2MNjYOTApsjFhmwvigD0WLIMB1g3swYibsFqklsYWnmnLo+9LWGzsnA5kt10ZRajl0E46YV07IJaCMwpxE0aLVAfX2kHHmLLos37Y8um6MMnYYhcs1gUAx0ombIEH0Gd3fcLa0u1YfmJ2nQNnC61F35OOEKnbAZMiGxPWhKoZuMyk2bqE1SIVdMS6pWG1qz+3nJU5FWNJHnchNzzq9nIKd7KWMNpvA+yxsH44MCmylmQmnBappfssxFgm3DeOLWGCQpD1MQIIl0VqeM4tGHESb20vfDzFYu76IrKmSGgsUtfY6KamzNmFrNd1GZ61AzC22AuLdYEr1nHjStZr6e4Ize0xs4U4NHVdwlqMKV0rmRRZCzbymIsR1qRIt2v+AxPupYTVIhXAiiqhE+60wlxDqA+9KkHIpMhaSuNtmBKqa4VCjC3rrR1hskgF0ZaYqwuZe4+1hLXQDzpLumM4W8gNhFM5p9AvDS5hRBjg+I8tWKTG+0IlImuPdpbY6Ba718mqW4yOLSHLeVBkaC8s1gUALLrhXVyKh1547KLFnZzj0GtausP1kqdSZH3CfOhFQoRJkXODjbwTW7DBx0Y/THSq2EKrw7WE1SLVgUKQrajbw/V8MCmy+X1pPg7HJEy4LbhpZVdKmEVkgK4P5wbjDPR8+tAV+tXagXuhLf2Ie+2AoMopToQFjndYn7BapDqjTvR8T4oM3WDG9lIuE9rnQ8dSxFjm0+2hoij2tOe+4pz/Nj0zu+HnAIgavvFPHxNbSGcy8snP/4t88zs/lKHRcelMtMuNN1wjr3rZ82Wgf2sv3JnknHz001+U7/zwZzI+OSV9Pd3y8094tPzeS54rHYnqt16ja0rb/oUBtLCjlX1xdYGFrV9/YpfXl2Wtiihs6AJUXoW4HLqC5blIL6VCrW53fubhpZOFjetg516vL8katIUKNvjY6IcJWG9hrcCage51dBnqg07YCX1CNd4nJycfWnMvCNXtTlJkcn60sJZ2t/Xz0SjTiRrOfUdxXwor4dTSgsRCNNNxKyKyMJ5bkCQcnl3dl7Kr34W+Hy1Nbtu/MIAcD3I9mMPu3I+2EDnmbGntCJlIaI3VYXpasstZaQ5ZwfJchNkiVb8mnH0pY8u596VtIcynI5YipjoFS4iU+xM7vb4sUmmx7uzwaMWfY1MLciazKC977Zvl7sNHpL+3W5584w3m+r/yje/I939yq3z+o++SvbsGN/W1pqZn5bde+Sdy8syQ7Nk1IE95/KPl6PGT8vkvf1V++NPb5fMfead0diSqev16xk6oZgvFe2UsebYQfFisK9/SHTaVCOiM9hgrDHQImdlCmVlJRLu8vizrNiZhVLcDJkU2N88wjIeaJswWinYX7gMKMizW5Qm7RWppUiS1NC+ZpZREQriGbhRbwqhud9ZMJynCebnrWaSGb+3AOgGhIdYNR1QX69zn9WVZapEa7tgym8ZsoZzZj5DSfWm4ZqHqXE+hWJcal93dB72+JGsIu4gMhVzst7BHz1sdTkpP2w6vL8sK5tLTobZILec2hTxhGNfQcsyEeBZqYXSQK58+zmLdKl7bTVd0gv71X3qyBImPf+6fTaHuqssukk+89y8kHs8nXj77pX+X937kM/Lmd31YPv23b9vU13rXhz9lCnW/8MTHyHv+4nXS3JzfaP/1335SvvCvX5N3/59Py9vf+OqqXn8YD71OUqSwuHB2TAHYY8AmI6wWqaC5qcVYUjmJZQQfFuvyhH1jApgUWafQ7zr0hvX56FXFugnZH87bsAYo7sJskQrQCRNpjpnOGABhzEDLHq8vy75iTGhji9vqkEmRPCg8oAAR5oSq83ykZuYLnZeDLNatWTtQ0AyjAAJnlMaGJtPRj85+vF66Q/o6KYX70vw85TPTx9bcj7CTyaYLAoiw7j3gBoKfe2J+pPB8sFi3NrZ0hFREpvOAcCTD6yVs3cnnIuzNDYD59PIsLCWlQ7zrYK9opXrbG39fgsLS0pJ88d++bt5/02t/t1CoAy/+zWfIf/zn9+TWO++T+x48KpdddGjdrzU2MSnf+O8fSktLs7zpD15eKNSBP/q9F8s3v/MD+dq3bpI/fMWLpLe7el0+YT70ls4WCptlWzn0Jj6MFqn6dVEo1qUmZK+c7/UlWUHYFYiASZHyYAPvWAuHtdDvbFxPyBHzPoUg556FGtZ4i3VzZPZU4Z4MdLBYZ+5FyG3sAJMi5UHhAQUIgIJEWMVTiC1DM3mrQ3ZeFtFxNmxzlEttdKcWxgqdlyzW5UVkOOOH/fnQ85TRYQdRbljP9+c600JIpWeShwm8LgrFOrUXCzuu2BLSM21rc0TaWhMyvzrrEq8ZFutEsrklSaZnQu0mBJhPL08yMy2Dslu8IpwZljLccc8DkpxbkL27B+WSC89b8+9PfdJjzZ83/fiWDb/WD396hywvL8ujrrxU+nrcB9HW1hZ50uOul1xuWX5w8+1Vu/7mplazAIcRHGrQ0g6M1aFacMMME2Zr1XVUIeZZLlG3h3XjumbgMlWqa+4D4go2+GHfuObtufJdVGEn7DOnysYWdvUX1e2Lc2XvURiTIg6MLWvnKIe70F98XcymYHWY9fR67OzKDXFsUc/HFOfWGeYyM5JdXlq9Kw1mzEEYQVzRxTkW+8vbK4fV3k+vm7gnXlu42fh8hFn8oEUO3JfmyYtA8q+T5saW0M4BZT69PMnFYr7UC8J5SirDg0ePmz8vuWBtoQ5culrAO7L6eevhfM6l5/hal2zha22WsHq3A7Sya3UulUSr94FWVGuU/QuLc7KYLXYMhZXZ9LTpQHXU7R0hVbeX83An7vsQVvVycZZjUZ3Lgsyquj3kM6fK2uiiq385Pw8jzOhnI9IcDa26HTC2rEUXHsK8drRHu6SpIe+6kp8t5G0ywE6L1PA+H66Eeypvoxt29Jk2Ee00Yw7CiJkt5BKhsnvK3AeKyNasm0u5jMl7hB3MlNYWqbo7NdyxhWtH6X2AeJ35dOf5YE4MJDMs1lnB0EjebmKgv/zhwPn7s6ufV42v5XxeNQjzoaY0KaKVu2EFthhQITqEeWOCuRetzdHCxww+7nsA7/bGEA+vd3fHUIXo3Ifi/Qnv2lH6fOhCRFgxggdapBogcnA6gyB+gAgi7LgPvX2hPfSumVvHpMiqjR27cgHWjY6SvUfYoUWqlBVJLWbTprM/7OgOsrB2bJc701NkuOoWowQPYc6JoetSdwYx5+GOr7BIxczpsKJfG7B+hAVk2NF54zCvHWtFhtyXLmYzks56u/8K33TNc7CQSps/o9Hydl+xaD7Zv7CQqtrXmt/E13J45otfXfbvT54Zkp6+uLRKXJLJvAdxGIk2tBXen5wfC/W9ANOpYiEYLd3LGbTxhveetLd0ymQ2/7ocnR6SmIeDQm1gfDbvZw/iTYlAvV4WFrYWVJuWI66kyPj0qESbw7uRhx2XM+MRtKzEAvV8bJVoY3H49kRyRJJt4b0XYHT+TOH9WHObZFKLkpFFCSttrZ0F1d3I1BlpyrUGYl3cLniNOMSa2kO9drQsF2dfY02dnpkyThBhJZ1NGZtUHXvD/HzEmxMyJaPm/fHZYemLeDcTwwZGZouxpb21U+bnip0Qfl4Ttwv2oU6SaGjytPS37ZIwMzmXf62ASGO4Y0tEYq6E6uzsbKiFMZgptLySdzZokEZpyDaH+vloa+6Q+cyseX9sZkg6mvoCsy5uB+R9dGwJ87OxstIoTQ3NkluB9faKDE+els5oX6hFZFOqWBf2fHpE5dOnmE+XyYXimdYraIMZEBKt4bWxA+2R7sL7ONxo5X8YmVUtu+2tXaHexIOEej68bme2AX0P9L0JI61NEVdxDoe+MDO3WPz5saGPtxSLVWFEvz7mFmcLCYGwwrXDTaK12xpfe69ZWVmWucViR38iEu59aayl3ayh5dbWsK8dkea4ib1hRr8+cG/CbnXoji3hXjsAzy1ut5hUtli8DX3OQ+V8kHRfWAq31aFeO9pbO8x4hzDjXjvCve8o3ZvrPXsYQT5Qx9fZkD8f6ey8moXKvYd+NphPF0lacG4Lr8SzhHgs3+2WTpcv8qTSeTVoPB6r2tdq28TXcvjKZz94zo671OK8dHWGO/i0r7RLZDRaUO3mGjOSSIRXKZKaKG7c+zoGJZFISJgZaNolJ6YfMO8jmdjW3lawLwsbsNNZzBXV7Tt79kikZfNrkV/YyjPf3dYvQzMnzPuZlflQv15G06dcdggdHeHuQm1ri8t9o02mSLciy7LSnJVEPLyJxIXRvFoX9HcytuxY2Slnk8fM/ZhfnLF+7ajl9Zm5fY66vaFRBnv2SFOILZadNXRifti8n5GU9c9HLTmtOqV62vpDfS9AJNYqD4zdZt5fWl6U5mijxFvDKY5BoXLubLHQv6NrV92eD1ufw/6lQRlb7WRfyM5ae531YCxZ7IxpaYpIf/cARajjXQUXjKUGxJbwdl6mp4s5j97EQKhfK6ChZbccnbzHvI9Cbiwe3fKMx6DcQ1ikYm/uMNC9WxLxYPxs26U3NSDT6Xw3WSqXDMzvejvMThe76mAf293ZI2HPp7eORo3TFAh7Pn1h3Psuy3Bmq8uwc6Df/DkyVt6f1fn7XaufV42v5XxepcB/OeyYgcvaZzfEQzHzc0Ho7a/piPaY5CFAMlHb/IUN7UEdbYkHslBX0WyhkM+8pHe7G8xzxFxHhzB7uGO2AWYcOIR9nmHp7BzY/KVCPFtIvzYwzy/shbrS2BL2eco6tur9elhpbY64inNh3nsYEZmySA37TLLS1wjOLNll2JaFE32mx5oadreYNfOUQz7z0jUrN+Qzp5yiA0ag5HHnhMIGZkljpnRhVmw0vGJLB3e+dCLUXf363MJ9x2o+nfOUi7PoLVg7Waxb5aJDB8yf9z+UV0iXcvhI/u8vXP289XA+5/A5vtb9W/haZPO4FpcQJ1TnMjOqpbtBOmPhVokAJA31Bi3MSRHXoZfJ9jX3AUkRzG0LI9iw60Nv2Actl3s+wiwEmUlNmoM/QCJAD7EPKxA7xFqKHv9hLsi4EmZMthuYFCk/C5VJkfLPR1jRcRUFzNbmvENNmGmPdBRmXK7IiulcDiszTKiuv3aEvNCPNweeax0BO3NipbGlI9ZjBJhhR++/srlFmV/0vnvIKygiWwtjS5455AMtGH3CYt0q11xxsSTa43LqzLA88NAja27Ut276ifnzSY+7fsOb+vhHXyONjY1y+92HZWLK3cGzuLgkN/34FmlqapQnPOZR1fktkjWLC5KKjpImbOhCZSLauWXrg6DCpEiZQy+LMYb2aKcrKZIvSoSPhcWkmQ3iwIR7ntJDb1hViPrQC/Uy1e1rY4seVB42eOhdixZLYW3FGhtGEFMRWwFiLWIuKRUZcu0ATLbngRsIn4/8LFR2Tq1F78+RbF/Mlh+9Eja3mCjdYgwUGeZhoX8tyAu2R4p7sLDuPeAWM5cpjnagiKyMIwjz6Z7DYt0qLS0t8txn/Yp5/+0f+IQspIp2HJ/90r/LkaPH5bqrL5PLLjpU+Psv/OvX5dde+Cr5wCc+57qp/b098ss//3hZWsrK29//Cclmi1XZ933sszI5PSu/+tQnSW83W7GrSUe0m1aHazqn2BlTvBdUIeaWczKTLg5aZrFOCtYYOqka1s5c/XND1d3S1Orp9dhYjMlkUy4Vb5igXUh5aEclklmCBWhxJhn3HnmwhmItLfcaChP650asDevM4PViy1warhjh7Op3xRaKyMpa+oV17UAy1XG7aIBbTJRuMU4HKub3OYTV6pBuMeWhyHD1+aD99iaej3AW6/JrJt1iSuHoILuclPKtBMTw8hc+R356291y570PyNNf8Ep51JWXytDImNx9+Ij0dHXIW9/wKtedmp6ZleMnz8jYRDH57fCGV73M/D905P36i14ll110vjz8yEnztn/PTnn9/34p73otZgtFuwsbVgSfMFpAujunOBekeC96S2wzUqFT4M2mp4xKFTQ2NEkiWpzFFXaQXJ6cHzXv89CLhCrXDodIc9RYHTrFCKi8Y61F68NwWqTy+Sh3L2ZTUyax6HTqhgX9bGCOMhTupLiWOupdHP52dx8M3a1hQnV9q0OsGY7VYU/bDgkT2VKLVMaWc1pwIw6HraNdJ5IT0S66xZRYHY4lz67epwnpT+ySsMFC/8adlxiNgu5LLRwKA5ghjVnSDhSRiSvOnp46FmoL7qmSfGnYYutGo4MclymssWHMp09bIpCqmrRxaWlJHnz4ETl85KgsLBQXxvX4z+/+SP7jm98VW4hEWuVTH3irvPxFz5FoNCLf+eFP5ezwmDzjaU+RL/3d38jeXYOb/lrdXR3yTx97tzz/f/yq6bD77x/cLHPzC/KCZ/+qfOFj75HOjkRNf5awEnaPbthgaO9pHnqlxB4jbp1iwqtDL9XtbjpL5j+E0epQr5ndVLe7CLuHO+IKZhs48NB7bhtdFOzCrl7mobdI2PeliKW03y4PrQ4hcCixSA1ZQnmza0feRndOwgaLMefGZZMawoQ73GIgQnVgzqMIrQ7dM6QhuMSMabJWCDKfmXWNwAiliIw5j3MW+2dCmC/NlLjFeElzNQ5hH/n0F+XzX/5qwTqypblZnvaUx8trf/e3pK/33J0b7/zgp2RqZkZ+/WlPFluIRiLyqpc937xtxCtf+lzzdi5QkHvja37HvJH6BZ8TciS0xRjdEdTaFDGbE+I+2AyvWtgheTTYsTfEh152xpzr0LuYy5ggDZuZsICN+lxmpmzxkuQ38kMzJ0KbFNHFGMw64CzUtTa6Tmcu9h7dbf0SJtxdl7TfPqfVYWbGzMkI0+sHsRQx1YGzUNc+HxPzI6Et5roK/THMQqVFqrbRbYt0mGSquVepcWmLJEKcUOW+VKPvB87/cE4J0+tnrVsMx8uUPh/OuQ7r7J7u8yRMsNC/kY1ua6FIl+/M3SmhFZHRTWjN2nFy8qHw7ktTOp8e9fRaKo7ob3nPR+QTn/uyzC+kzIOPt8WlJfl///U9efbL/kBuvu3udf9/CJsXSJ2tDsME1e3rE+bumLyNHQ+956K1OSLx1kRonw/H7qCQIFL3grg38slVq8PwxhYWY9ZVuIfsYLMMdbtaP3jodYO1tFnN/wybzbJeO3AvEGuJlC1eOlaHYU2K6BltpFxsCde+NJNNu7oJGVvcdMR6zBw/gD2pY7ccxs4pusVs0NUfsn0H0DkPjnYoY6NbYrMcJiCAgT1snoZQ2jxuNl8KwR06zcLEtDrHJyJd/i3W/ez2e+Tfvv7f5v0bb7hG3vuW18mH3vFGeeFzfs1YSk5Nz8r//pO3yX9//+ZqXS8h6xJ2q0Oq2ze/cZ1JT5kkY6jU7dl89zOgjd1awmxX5rZIhbqd3u2asFsdcl7d1oQgYUq4Q92+rNTtmHVASpMivWXnZIRRREbchNnq0IjIqG7fQmwJ19qhOx8wO5izUN00Nza7usnCVsx1z5xiob+UMFsdong9q2ahcrTDBjmxkMWWKdcsVLrFlBJriZv542Et9k+r+kGi9dwukdYX67781W+ZP5984/Xy0Xf/ufzizz1OnvS46+WP//dL5V8//QG55MLzzLy2P37r38h/fe/H1bpmQtZFJ0XCFHyQLGNL9/pAHYFkIoB1hva6Dzr6EIcOMqrbN5r/EK5DL+1CNmd1GMbnAwd8x4YLUN2+fneMY6MbxrWjI9YtjY35GEvOsS8N0dqxpnNK3Qfitjos3q/wPB8oTC4pi1Qm3De20Q1Twl0nVDkLtTy6GzVMxdw1bjG0sTuH1WEklM8HBJWORWpTQ5O0U0S2vhBk1UY3LHDt2JiwCtiXS9xifN1Zd/fhI0Yx+ur/9Vtr/m3PzgH5hw+9Q5584w2SzebkDX/1fvnP7/6okm9HyKYIq9XhXHpGciv5TjHYYiBpRtwgiehKuIco+LAYs8WkSHpGsiGxOjTe7XrmFA+9ZQmr1aH+WZFYDtMsx80C8YO2jg3T3oOH3q0fesPSeYn5fMl0cRYqizHlCavVoV47ULBEfCEb2egWk0hBh7FlY8IqMsSoE+0WQwvdjbv6w/R8aJFQR6zXCC6JmzDb6DIntjFhtUmdTU8rt5hGaWstium8oKKVa2Jyythdnrd/T9l/x7+9761/bDrucrmc/MnbPsCCHak5YbU6dLXsxroLlm1k/fkgYYGH3o1pj3SUWB2GIylC7/bNEVarw9JCLi1SyxNGhTteA7r7oZs2hxvuOzAnY34xKWEgX1jIr5PNjS3SHun0+pKsJKxWh24LTHZdbirhHpJi7ppZqLQ53HDtQKfqYrbYqRqWM22std3YpJK1hNXqkHO2NyasNrpYIxfUHpz27BuvHehUDUs+fUYX+qPdBUc2r6hYZrDRVJumpiZ595v/UJ725BsLBTtaYpJaElarQx56N4dOJoZF4V6qbmdCtTwNxuowfEkRerdvjrBaHfLQuznCqEKkun1zNDe5C1VhiS36dcBZqJu3OsSeLQxwnuE2OnNDMjumVN2OpBlZS6ylTVq11WFIng/mPDZHGK0O8xapnGe4GcJodaj3pa3NUbOGkrUg5iIvBpZXcpLMFGdABplpy+ZsV1Ss29HXK+nMooxPrF8MaWxslHf++R/ILxUKdu+Xb930k0q+NSHrPG/htDq0bXHxQ/dDJpsyycawqdv1fBTiJoxJEXfnFNXt61kdYt5jmBLuONi7D72MLZtZOyCOCEPCXRf6YY9Kdfu5CWP3FK2GtmB12NgSqr0H1kdtu8XYsjkhyExIRIY6oQq7Ns5CXafzUsWWmRDsSwFzHpsjjFaHEFJqi1SOdjg3nSEUGboL/XSLWTefrkQyoTm3pCaCU6y7+IKD5s+bb79742/U2Cjv+vM/MJaY+Rl275OZZDhsYEj9CZvVYSabdnV5MOF+bpBMhGVGmJ4PlwVmvJc2dpvtjglLUoSF/k0TNhUiDvY44BdnoRaFMMQNOqeKCXfMgQy+je6Mji2cdbkFIch4+GahWnDo9UvCPQyxJf9sKBGZEsIQN3kBakPBRhfdl2FLqJLNxZapEKwd2JMm08UuD+Y8zk0YrQ6nS0RkEFqS8nSX2Oginxim56Ob9spbGO8Q/LUjvbTgauKwIbZUVKy74ZorzGHs//3n9zb3zRobjSUmOuxQsMMbIfVIqAY94a4X0EhzTKItcU+vx3a6XVaHwT/Y6J9Rq6jI+mvHUg6+5nOB927X85OYUF2fsFkd6tiCAz8O/uTcCXfXwSYE3THsnNre2oE5oUu5RQkyiCv6Z9SOF2QtOimgi+DhWDuobt/IRjcR1Ta6E8G3sXOJyLxPmPkltsymJgr2oUEFQijMFQeYM96uXhtkLaHbl1IktGmQL9SOGEGfa4i1UQspOyki20LOI9jPRuneCvaokZaY+LpY9+TH32D+vPm2u+WBhx7Z3Ddc7bDDDDtCaoVOOIfB6rA0YYakITk3OjgHXSlSeuilimh9WppaXQrvoBdkdOcD5l7Qu319wmZ16Cr0M2G2pYR70GNLfhaqUrfz0LsuUHgjvpRbe4OItmND16n+2claQicydHXlshizpdgS8H0pzuw4uzvw+Vifjlh30epwJSdzakZ58AWoPWamIdmsY0yw1w7gKvQztmwsMgyRCBVnFsxfA5jHxlmom9+X5rvOinE58HO243bsSyuSSO/o65H/+r+fkOXlZelIFG3lNsKZYfebz/zlwKt/iIdWhy1tBWtIqAFirW0hOfSyc2prCfdpyS5nA9sxAgU/bHPyYFNmR/CxGSSdnW4zqMx2d+Utn8NQjGGhf33aIx3Gsiv/mlqRmfSk9LYNSFBhbNkartkxqXzCPaivKTz7jrodrwm8NsgGVoexXhmbGyqsvX3tO0Oibue+YyPyezOsFSsmvmDvFtSOkbyIjBapW40tp6aOhqL7Qa8dtqjbbQbdZXA+mE1PFfZtKOAFFe5Lt4aOv3CLgaNKUK0hzSxUVaymiGxjIOIeTZ4ORde2LuRiHltTY5On1+OHzku8OU0vWHsHW/ZKUJm2sNBfsRRlcEef7BrcIe1tW7PdQ8Hu2qsuleuvvrzSSyCkLO75D8FViiwv52RWtXQzKbIxiUinOdwAJBv1/QvyoQY2OrDTIVuZeRnwjSsL/VsCSjxt5xbkgw0GtGsbWMaWjdGbe1gAaovZoKvb8dogW+nqD+7asfbQSxHZRmBvpgveQVa4rxWR0SJ1K2daxBUk3IMK5yhvnbDMvFxb6LcjoWozKHi3KqvDIMcWLSIzFqkUkW1pXwqLyCA30jC2VGjRHuDYkkM+3UK3GJ6sSTgsZQKccMfC4gRWtnRvJeEejrl17iHtPNRshrBYHa6UeLfz0LuN7qkAC0F03MRBnxapm024d4bj+XDNFLLjUOOvuWTBtTpEoXouM1v4mLFlc3SHJOGuY4vpVqeIbHMJ96ZIKGx0GVu2TlhyHhCQYZ64A91iNt/VH4bYoosJ+JkpItsYWEE69wkWkdrePmhwnmGFMy8DfKadTU+ZvBhobGgy3eo2wGIdCSxayZtMTUluOStBRB/Y0NLdyJbuTRGW+Q889G4dJNth65ZnxVXQChLJzExhXcS8C6rbt5cUCWrCvbTQH1Q7x1o+H1MBTYoYdbvL5pDFus2QX2PzryPH6jCI6JiJWXVxNQeWbDIpEuCEu3uOMteOTSfcQ+AYg7EE7lmoFBluNeeRWpyTTDYtQc95YL54UO0cq01YOi9pr7x1YAWpZ7cFNbakzMy1vJ0joIB967EFBS04ugXeIjVmzyxUz65iIZWWP3/nh+TN7/qwV5dAAg5mPbitDvNe7kGDxZjqbFyDmHCHTY62YWNCdSsDl4NfzNWHGiiInPWSrI9+NtBBshBQq0PGlmrMrQvm2oG4ks0tFj5moX9zoIMIdtQOUwFNipTOfWChf+tJERRyg2p1qAuRukBJ1icM3VMYS6Bt7DC2gGwM5gpFlNVhUO3KuC+tfO2YTU0E0uowLyLTCXfGlm3FloCuHdrphLNQN09HtMt0mgGsG85s1KBha6Hfs2Ld4uKi/Ps3v2veCKkFjaWzhQKYNMt7t6uNCQ+929qYwFJDz2YKogIR9jm0sds8Ydu42rQxsR10irhmCwXw+VgutUjloXdbCXdYAaKgGzT0vgOdyHhNkO1ZYQZ+niFjy6aJt7ZLi8vqcDKYIjJtkcp5hptG3ysUY4KYcHer22ljtzWRYV+gcx5rCv3cl26ajmhxrnBuJSdzAbQ6hHBS77fZlbu92BLYtYOzLrcFHNs6YrrzciLwhf4ui2KLHf19hNSIoHt0o507nU0VPu7moXfTILnYphPuAdyclCoQqW7fPHqTH9TZQlO0sds2QU+KoBMdswsKs1CV8IVsJuHeGuiCDNXt2yfoVnaIlfqZt+nQ6w+rw2B39btmoTZFzHpJNgcSZrAsLybcZwJ365hQ3T5BFxlifjjmiDvQQnerVoddgX4+tFMBRWTb35emS+wig4K7GEOB8vZHBwVv7UgvLciiso62qdDPYh0JVVIkaAn3qYWxwvs48EZaYp5ej98IejFXz0ti51RlVofaTjQIYJ4F5lo4MKG6NboDnhQp9W7HQZ9sIeGui7lBfD5chX57DjV+iy2IK0GzOpzLzJh5fHk4C3WrBH7tUOeWrng/RWRbwNhCuhTu4wFXtzOhun2R4WTgOi/zncb5PA7mimvBLdmYoHdP6ZwYC7lbI9oSM1a6Qd175JazrnFIzIltjaDn06fVeoh8equylPaaigbUfPQzX9r2/01ngnU4JfYnRRZzGUktzQdKxUl1e+XB58z0I2vuZRAwvtJMqFZoddhpEo/O86GtD/2OnmeBORd6k042Rlu74RlBQTdIVoBaocqE2faSZmNzZwMZW2hjVxnmINgUMXtS55C4I7FbgjkLtdPM6SOVdPUvF+zLghZbmFDdOhBWYa6bI5rYJxdIUMA4AtrYVW51iDUDzghITgdJTFM6j4xuMVsDz8KJyWAWYwBzYpWBs97w0sn8vUyNy2DnXgkKWAv1LNR2NTuabIwWdGeyKdOJFmttC2ZHf8yumFlxsY6BkthMazMsVhLGx9oJ5EEq1vHQWxl6QTZq8NxSYBJLyfS0sckp2NhFaWO3VZBIcop1UOzt6T5PgoJLvUyL1C3T1pqQ5qZWya7OR4Dit699UIIzC1UpVNuobq9IhRiwhHvpLNQg7anqZ3XYL6PJ0+bjqfmAFevYGVMRsByG1SESS1CDJzMz0hEtdlP5mdxyzj0LlfMMtwzu2cnJhwIpBHHPQu0IlACqHsABAU4Izn3EPi5QxTrOnKqayBDi9cxSKjCOTHCLQbHfoTve7+n1+BGsFcOzJwNZzNX5UqyRjQE5j9ULrBM46zmvMeTEglWsG7d2X1qVJ7W3u1N27ujb0ttAf3A2D8RugurhDvWhU0gASP6QrQELDVhpBHG2kA48SPTQxm7r6NeU3ugFr3OK8Xh7Voc6tgTn+cBm3On6Aeys237CHSDhPpeZlWAmzDgLdTvojiJdGA/eoZexZas0w+pQzRbSXfB+ZzY9aYQLoLGhycxgI1ujq0zCPagiMrJ1ugN6bsG6YXNC1Q/EWuISbY4FcvaUfjYizW5LR7I59GtqNj1lxDVBgSKyyglqbMmaWajThY874wHqrNs50CfDoxPy+le9TJ72lBu39H+npmflSc98SSXfnpBNgUTj2enjgfPo1gkzqA/R6UG2o3DvlfG54cKMt96AdMdQgVjdhCrmuwVFhbhW3c5C/3bIrx1DgT70QtCADnWyvYQ7DrzOPdUJ+CBZUZGt091WXHNnTFIka6x5/A5iJNXt1YktxbVjQvb2nC9BAF2keu2gun17CXcko2FF5ew9Blr2SBBwFWM4r27b55ZHVEIVTglBcMFKlsxCpchw+9116dlThdgy0LEnkPPqgvDM1xucUSCigYUuiuPYgwTBqjrvFuMWGZJKRwcFR2Q4DfcbNQs1EekMTmfdpRceMn/e/9DRLf9frqGkXmhlbzKdtzoMAi6bMg5p3zb6QDgTpGIuragqBi3+Wp0XFCUR5p046vYmqturs3Ys5K0OgwCHtFeHIHb1Yxaq7vQJwkHeq6SIU5zDuqHFE35Gx0jEziDZ5NQTnUzS63GQijFcO6pksxyQ2JJ3iyl2oLMrt/JnYymXKYwB8TvTqtDfEe0KzMgKb/elwYwtFKBuD4hnYBHpMBOQnEd+Fqpyi7Gsc8qPnXWI1ZhfHgSmSzq2bRtZUdHVXHLheaZaff+RY9W7IkKqTHukU1kdrgSmu85lY8eEWdUSqljT/A4Gv+LNgc/H9gli0kz/HFBZUt2+PWCV4FgdQvELMUgQoNVQdehUxdyg7Dvm0jPFWajSQBu7ipIiwbPR1bGF+47to5ONsDpMB8Dq0Kjb1TrIWajbx2XBHZDYUuoWg3nzZOvg3iHvEeRzC+eRbR9975yufr+TXc7KbCrfiQ4oBKlOTgxuU0FAx0i4xXAW6vbAzDrMKS93X/3MlOWxpUqddVsv1jU2NhkbzZ0D9t0UEizQCu/y2VXqLL+yXGJjx43J9sknzIoJ9/kAzBbSh16o26MBsG70Cr12BDGhyrWjMqtDPXMnCEmRxWxa5pUS28aNq1/Qry0zBzCbliCJhPDsB8G60YbnIyhd27Yfen01W8jV1e//2IK9NbqnHGihW6XZQqlJcyYMmhsIbey2T9BiCwr9+ufQNtJkawSxq39G2djhZ2uP2mVj51fHGKzJQRCwu+2V2VVX2eig4OXTp7VbTFtfsIp11119mXzqA2+V97319Vt+MXck2uQ/v/QJ+eYXP1bJJRCyKfTGLgiHXvhIw1O6MKQ9yiHt2wVWGu2RjkApRaYWRgvvsxhTGfr+zaanfW+jmx/Srm3seOit3sBl/8cW/Wy0Nkcl1kIbu+2CZDvuYeHeBmCuITunahNbkEzwu41ufkh7sbuYe4/K6HElRfwfW3SyHQljqtu3D2wAHUcEWBNjb+p39DPOrtzKcCVUA1CsQ3exM6MR8PnYPlg3dEFmMgCxpXTWJd1iKnOMcYDAULs0BSG2cF9azXNL0PLpjdIZLdrABqJYF41E5PqrLzdvVEARvywuUODkfK5C1Jtv+EujU5Vsn6CpEPXmuzu+w9NrCZ6Nrr8T7mZu5+qQdtjY6Y052Truru0x36sQOaS9yipErVL1eWzJq9uLsaWHsaUi0FnkstHN+NtGN793Wh3SXmLFRipNuPs/KaITO0y2VwbOfB1qtpDfY0veLaa4t+5h51TVzrSpxTnJ+NxGV69/sEeNKBEU2Tq6eyQICXdX1yXHwlQEXluwOyzeW38/H5lSt5g25sSqtXYEwUZ3ypVP77Uyn27XBD1CagQ6z5oamooqRJ+3/XOmUC3nkvn70IuBr3Mq6Ue7kGq0/Qdnbp2+ftjYwcqRbB/9bCzmMrKgDgX+P/Sy67KqQhCfK5hLrTyZcK+8qx8dRg7TPreU0ftSPPcUcVaGLlhgT4e9nZ9hbKkuWgji930prPhwNgd0i6mcWGtbiY2uv2OLtltjMab64x2c155/3WJUZx2LdRUTpJyYjo2R5hjdYiokofLpQbDRnfLBWBgW60goQKVcd5D4+WCzxrvd0sXFrxtXqBD93PavN60YBNvGIe0VE6S5dUyYVZfW5oirg8TPsQUKOVhCOPDQWzlaLOF3FaK2V8Yzj2efVEaQbHT9cOj1E+ggwR4uCBbt6aWUsbJzYGypbjEXrz0/d/VPurou7VS3+9sxxt+xRXd/UYBapa7+VRvd3EpOZlPFfb/fgCOBs6+mW0wtHGOK+37fW2C29VNEViHGKrLEwt+vrKyslBT67RQos1hHQhl89MHAb6CdeylXVNjy0FsdFaKezeRnD3dXwowbkxp4dE/4VoVYamPHzqnqEJTuKSjknLlZUM7prh+yPXAPMfC+3LxIf899sPNQ4ze6lKUMhBR+TbiX2tjx+agcdCa65m37OLbofQc6fmKq64dsj/zZL2+ju5RbdDlq+Du20KasGujEo58Tqmts7Lj3qJgmCNiVja6fi7l67cB+m24xldOjrCLx2sNr0K+4rft5bqkGQRkdNJ+ZNXunPA3WigxZrCOhISht/5NK5cIh7dXDlRRRHQR+QxeieaipDpgN4qgQl32sQqSNXW3QHvh+3rjq2IJED4e0Vw7uoVsoFJDYwplCVUE/G5lsyrdd/TNp2tjVgqB0Xmp1PhNm1aGlqVU6lKDGr8VcnMV11yjn1VUHnXicTU9LNpefVe03dKGRNnbVIyixRYurdZGJbB+I1/Fa83tsQSEmmZ4ufMycWC0E7BAZ+jOfPqXWvUS004wmsBEW60hogLUGWuQBWub1Au7XQy8DT/XQCQS/bkxwGEuqQhITqtUhKCpEbSXTFumgjV0NNq6w+kr5NOGui3VMmNXKUsafa0dqcd5VSGLCvTpEmqMSb233fTFXzxSydUi739cOiISyPrXR1bFFi1tIZQTBMSap7KEhitN7bbJ9YFXd3OgkH1d8a6Pr7rrkLNTaFOv82dWfd4thbKlFV78+A/p2X6oK/S0YCxPp8PR6AmWju5pPzy4vSTLtz67+KZ80N+S9eUiBO+65Xz7xuS/L3YePyFI2K4f275HnPetX5Nef9uQt3aX7HjwqN/34FvnxLXfKsROnJJVelN7uTrnu6svkpc97llx06ADvep2BFRU6ZByrHrxI/XYowMZEH8ioIqoe3WXa/pFI8xPTqQlZkfyGG4e0hJqlRSoDyWlH4YnE08G+i313Sznrsjbkbb3aCjN5kFyIde0XP5ErtbFjQrVq6EMv7jHuNQQAfj3UoLgUaSmqbkll4JCIrmdzn+fHZHfXQd/dUs6rqw1G7dvYYhIi2NvNLExIb/uA+NnGjueW6gFB3onJIwUhJ86ISLT6tRiDM7ljG02qY6M7ljxb6EDqa9/p69hi60wh/4oMsVasSHbVRtdv1ve4Zj/Y2PkR2BEPzZz0tciw1Lrfb7HRVtCB1hHrNqMznJwYPvZ3TqxfbIWddYpv3fQTeelr/kx+9LM75MJD++XxN1wjJ04PyZv++oPy3o98ZtM3NZvNyXN/93Xy0c98SY6fOiNXXXaxPPnG66W1tUW+9q3vy/Ne/sfyX9/7cS1+nyTgCncceBeVd7TNi4vfCELb/9qNCZf4aqETTDg8+tFG1y8qIv/b6Ppv7UARaVnNq+uM+m/jbSsQCeGeAtxjXRT1o9UQ147axRbdgeQX8rMY1aGXFqlVA3s4uIL4ObZoN5Boc8w1H5pUhl6LF3MZV1HUL9C6v3b0qPl/k/Mj4ku3GG1jp2a8ksoT7hCD+Dm26H0pLIFhDUyqg97HoSi6mM347tbqrku6xdTw3OLDzstUiVuMzYV+ypdWmZlNypvf9WHJ5Zbl/X/1evmFJz7W/P345LS8+FV/Kp/90r/Lkx57nVx/zeWburGXX3y+/K8X/k/zf5qaVpM0y8vy4b//J/m7z33ZfK/rr75curvYklvv4HN84gFX27+flBb60AsFVGtzxNPrCWLbv6MkQvAZ7NwrfkIHTCbMqkuXsV9pNIlJWPbAkkon0WwH1oxO9wZgwr264H6enT7u40OvnlfXRxu7Ks+twz2dWE2WQVTht+4SV6GfxZiqop8FY6O7OC+xVv8UNMw8pOX8PCRY43TF/BMX/RJbxueGfRxb9Nqxw1dnLtvBGRB2h0imOmfEdh9ZfeVt7Divrh6xxdjo5pasnctTDqx3BbeYpla6xdQgtjjFUFhZ7+u5QPxbjPHXntp22loT0tocLTQI4LU40LFH/ALWOqx5Dsx5VL/z8hFZzafPj5ncmJ8aBCZVzsN2txj/3NUa8y9f/bbMzS/Ikx9/Q6FQB/p6uuQPX/Ei8z4KdpuhublJ/unj75GnPP7RhUIdaGxslN9/2fPlwL7dMr+Qku/ffGsNfhKyHrpyvgQVYmbWv3Mf2BlTk+Dj1846FJCclnTA56O6wJrHPbfOX0oiraqNtbb7KhnsB/TrDXFFd0D7MaFKqosucPlttlBmKSUL2sZOxUlSHRtd19w6n3XX6etFjPRTMthvsWV6YUKWl3PiVxEZ1e3VR99TvxVzUWSEBV8eFPrtVbf7EYh6UeQCKHrpwqjv5ijTLabmjiB+mltnxsK4zi10i6m6ja6P3cjWjIVRXaSkcsz8UNfcumIHtN9yYj1tdlvLs1i3ilM4e+qTioU6hyc+9lqJtLbKzbfdLZmMs6nc/uJ34Xn5WTZj48WKP6kPaJHXntx+at3lvLr6Hnr91vaPQh2ULQCWa370j/aXpYx/1o7S6+1lMabqINkOFWLxfo/5dl4dE6q1XTtgGeinhLtO8KGwhDdSXfxsKeNKqFp+6PUjKIA2Fmx0cy5Rli/m1SlRpBbEkeqg7yn2HX5KuJfa2LHQXwPHGJVw9/O5hZ1T1Uc/G5lsyuW+YjuIKxDdO1CgXH1ca4fP9qW6uOg4I5Fqz63r8WVsWTGFfv/kxPjkrnLkaN6+6tILD625SS0tLXL+wX2SWVyU46fzg3or4fRQvprb2+OvQa5BQW/4Jub8s7hA2c55dbUlvtr270eVaunGBNZrpJZz68Z9M7eudGPCQ29tkiJ6w+en+SD5eXX54hGSwp3R4gacVAccapw12STc0/4Ra+kuYg5pr8/cOr8k3BED9T6JsaX6NDY2uVxBHDtdv+1LMRNad5CS6qA7SpBwh5WuX6C9cu3xqxBkKbcos2qfxNhSfZDvgI2uH2OLPtN2RLs5r67GsQWdU3hN+jK20ImsDucW/+RLFxbnJJ1N+cZNiNlcdNDML0hyLj9kcKC//KwF5++Hhit7GG+/+7AcfvCotLQ0y+MffU1FX4tsj16l/MXG1S9JEb0xweaK8+qqj59ViBO0SK05mFHnqLPyc+v8oXBH8kYP0qWNXW3QXSX69Wg7epPNeXW1oamxSTrVLC89f9Z2GFtqj16TsVb7JeGOGIhYCBAb/TTH1c/FXL9aYHJeXfWJNEfNfCG/PR9rRGTsuqx5wt2ZW+cH9LPR2pSfzUhqnBPzU7FOi8hogVkT8JqDI5mDX2x0s8tZY4PpQLeYegjYx3wjYJ905dM7zB7KZpq9vgAbWEgVZ8tEI5GynxOL5f8es+YqKQq++V0fNu+/8Dm/Jv29m1evP/PFry779yfPDMmugX5JJovzRMj6NC/jRQmf3RXjlT88eUbaW+3fBI7OFLs621u6+DuvEbGm4nD2ieSIJNuTvrCxg7WaQ6wxEdrnY2GhWJSqBYnWLpnN5It0Q5OnpClXPmbYxMjcqcL7seZ2WUxnZTEdzuejlkSkzdUJPT41aroJbGd8dqjwfltzZ2jXjlqDezsl+cLo2OyQ9Ef3Wr8uLpbY2EUb2vl81IhYc5uksvki3dmJkzLQXr/nY7sMzZxyxcaF+e2fkci5iTYUizHY603PTJk5urYznhwuvB9v6rBq7aj1XrGetLd2yfzqXFGcFTub7Z/fNL/otrFrWYlZ9XwEhpUmM7MJc4WQ9zgzcVJ6YnZ3EoCRqTOF9xORHpmb849Fo59AvsBhYm5EBlvmrRdVoNCvnbFiDeHNedSaRGu3TKbyRdyRqdMSk+LzYitTqTE1FqZZGrMtfD5qQPNyxMytw2xAxJfhiTOSiNjvGjgyU4wt7S3dGz4b2CsmEt499/bv9DfJa970Tjl28vSW/s87/vTVcsUlF0o9yOVy8id/9X45cXpIrrjkAnnVbz+vLt+XrMUMGm3tlORifhjmTHrC+mIdNiYzqwUC0BmlerlWaAu4+SUcJhett1dIZiZlRYobE9ufZz/TEekpFOucP20Ha5wDLQ5rR7Q5LpHmuGSyC4X7vqN9j9gMLBmTi0Wroc4ILTBrBeL26dmHzfuzmSmjQrTdrngmU1w7Ik0x84yT2tAR7ZXUXL5YN5ue9EWxzh1buC+tFe2tHWZvl1vJmsQI1o/umN0FGRRiUkvFBHtHhM9HreiM9BZEWXhN4sxoe8J9Oj3uKjbibE6qD54DnFuchPtsesIXxbqZzLjr+Sa1ocPkPFYF7MtLksrNSbzZ7oJMKjsn2eXFkp+B1ALs65y1Q+/3bEZfJ54NzqurDRCMIXY7OQTkxGwv1q2srJgY6KdzS2CKdWeGR+T4yWKldDOk0/mFPh4rtj+mMxlpL5OMSKXy6q+2+PZU8n/1vo/LTT+5VQ7s2y3/551/ZubgbYWvfPaD5+y4W15e9rTi60f6F3ZJcjxfrJvPTlt//+YzSZcCcVfvPtpg1oj2lXZpHYsW5gMuNsxLT8Luxfzs/LHC+z3tO6Sjg8W6Wr2mdzbuLSTck5kpaWuLm5kyVm9MzhaLigPde6xf7/xMX/ugnJnOvx4XcrPW32vMFHKsKzCvbmfvHqufZz8Tb4vL/WO3mgIp3nJNGemss1f+Vp/H47Mzhff7Ejutf579zMDybhmZO2neTy5OSnt7u9UJ9+VlFPrz+2iws3uvJNr4fNQK7O3GknmHjdRyUvYlzhObGZ4tPhuwGervHrDyeQ7CmtYa2y9HJu407y/m0tIYgb2T3T/X/GTx+djRwdhSS3Ys7iok3OeW7M95ZLJpWVCFfuQ82ix/nv1M50S3zKyOdcjIvPTFB6x+RqYmix3biWiXdHeyWFcrGlr2ySNThwsC9kis1fr8Y3JU5Tw6d1v9LPud/oWdkhzPF+vmszPW3+u59IwsqUK/H/LpgSnWfflT79/2/21vi0uiPW7m1o2MTZiPS8Hfg52DW1cyvv/j/yD/8tVvyeCOPvm7v3mLdHcVbfaId4feY+OHCx7MSDrYnKDUPuLw17V9YfEzSCbAw31o5kRh4PJg5z6xGf18aP95Un0wdwrdMChw5FZyMpOeku54n7W3GtZITuEZcC5IbeltHygU6/C6tF3hrgfKY96UzXEwCHPrsFY49xyWQ9rz38qZQnMqtrQzttQS/Sxg+Dnm1sVb28VWMBMERWen0N8ZY8KslmBv5xTr/DBbaFLZlHXHd1gdB/0OiqGYLzSXyYsrJuaGzVnRVnDmhlDIoYexpabo2DKbnrbeMUbP9IWVvM1xMCixxSnWoStpd8d5vpk51R23u8Pc77StzvRCAd3Ze9icE1vMZiSZLgpBmBOrLZgHeGzcPbfOZseYCbV2oNDvh3y6vXezzlx46ID58/CRo2v+bSmblYcfOSmR1lY5sGfXlr7u33/h38xbT3enfOJv3mIKdsR7umJ9hcUkt5wtbFJsZXyuqCLqbRv09FrCgE5KIqGKpKXNG5PZdNHGjhuT2ifcO2N9ZQ8N9hf6O32xMQlSwn1h0e45G0jqOXDtqD297cX4PTFfvPc2grmLeIYdbC4sBgEkRJAYcbC9IONOmPWx0F/XhPuU2fvZjF7fWOivT1d/8d7bvXag0A+xm1Pox5mc1A7s/VuanL3/ikmq+iW2YN1job+29CiRL6zsHLcNG8G1IS9Tbt0jtROwO4yre2/72tFasqcm1acr3lewGUU+fTZVzEfayKTaG/nlTMti3SpPfMx15s9v3fSTNTfp+z++VTKLi/KYa6+USGTzSqQv/7//Ml11ifY2+fh7/kIO7ttdrd8bqULCHQtMuUq7jRsTHXx0so/UBl0Qhbrd5oQ7NybeKIkc9KHBRlxrB7su66Rw90fCHepqLVRhbKk9+jU4k5oyvwNb0Wsbkn14tklt0Z3PfootOtlHaoMR2xQS7nkVs61gz6z3zYwttUcXRPHatDnhrouJKPTjTE5qm3D307lF52R6fZJQ9TPGVWM14Y5u+bnFov25bcymJs1sPYAiATvr6i8ytFnA7hIJtdlpvR20uXXaVcNmodAK3GLUvtkvOTEW61Z59tN/wdhffveHP5Nvf79YsJuYmpb3fewfzPsv/s1nrLmBv/bCV5k3xybT4b++92Mzpw7z8D7yrj+Tiy84WNvfJNky+kVqc0J1pnRjojbcpDZEW2K+UbjrwMiNSf03rtOpccnm8q9PKzcmJQpVUnt04trmjSuejRXJH7pgidQR7fb6kgKPsd1QCnebO3NdsYU2ZfXv6jc2unYm3KGgRXeMA2NLvRLuO3wRW3THNvbSsZa14yVIdUHSWivcZ9Tr0za0vTIL/fXPeejXp22klxZMV78Dn4/6JNy1gH0mveprZyG6swsduc1NLZ5eTxjQr8H863POJ4V+fxRjgtTgYHNsSaanJbsqkG2QBt8U+gMzs65SOjsS8tY3vEpe95b3yh+++T1y/dWXmb+7+ba7JTk3Ly/6jV+X66+5fM3/O37yjPkzm83bOTgFvj952/tleXlZdu8ckH/+f/9l3kp5yuMfLT//hEfX+Ccj50Ifeo0lx3LWbFhsQy98UCA2W3iNQQRBfj4zW9gc7u05X+wv1rEYUw+gImpubDFFdCRTJxdGZUdit5Ubk2LnTgML/XVcO05OPlQsiFk6t85tgTlo5TUGM+E+IMOzJwu/g4GOPWIbZl3jobfuGMGNNJgier7zdcqo3m1jcn6sUEjEvrkjxkJ/PcivHadWfwejvkioMmFWH/A6xBnReS7QPWVjMgriNndHPxOq9aCvfadrlnVqcV5irW1i85k21tJm5TUGNSfmrB2YW+eHzqk+rh11E7DDMWZuNSeG12hbJCG2gTUtpQqJnIVaH2BFe3TsXvP+9EJewG5jEX1CxRacWWy8xnIw66946pMeK5/54Nvk4//wz3L34SOSzWblvP175Xn/45flGU97yqZvajq9KEtLWfP+Q8dOmLdy7B7cwWKdh3TEeszhBkU6JB2mFsat9L4uTaiS+oBnoZhwzyvcHdWqtRsTqojqAuxCkGAYmT1dmClpY7FufG7IVWC0eaB8kMh3P6PwlU+4JzPTVnat6VmoPPTWD6wdhWKdpd0xmIlV6Oj3kQLR7+DwCIW7Y3GI/Z+NxTodW1CMsXmgfJDQhQ2IyTJLKYm0xMQ+637OFPICvBYLxbr5ETlf1oqMvQY2VE5Hf7Pp6O/y+pJCAYpe8dZEoWsN+7+9PYfENsaTnHXp1drxsOQT7jiz2ChgNwKmhWIhkfbK9QP5x0Kxbm5E9lkoYNfnKax17OivD52xbpNfwusTsR2/BxtFqOOuc4t/8ul2rcIWcM0Vl8jH3vPmTX/+PTf925q/271zR9m/J3aB5ALmg4zNnS0kRWwr1mHhm1YKRCZU62wps6pwR9LSRoW7e2PSTgViHcFa4RTrbG37H1MbE62qJbXFWErGus1sBef5sK1YBxsTzON04KG3fuhOE/N7sFDhrmfadMZ7faNADAJ4LTrFuvH5YTkkl4ndhX679s1BBp0m0Za4saJyno/dXQftnilEx4e6FnMfGr3HvI+kto0Kd71fxhncNhFk8EWo9hbrIIp1d07x3OKJgF0guBiT/oRd95/W/d7GlhOTR6wWsOtzC52m6geeg17l+mCjY0w2t2Sachz6LFvb1sOuVxkhdUYnKHVi2xbyCklnplBEEpYlfMOgcHewsQOidF4dqR+96hCJhLttHu6lCkQmVOtLn1JtjSmlsI3JdswUQgKY1Ffh7qCTU7bAuQ/eoddqrOFFK2M7yMe74kwhJlTra6Orn4/x5JDVscXMFLKsOyPIQBSEbjUAoSEs2m3DZa9MG7u6otcOJNzRBWsTsEd14h3EsjzX1tkxRuURdBeKnU5TA7Tu92gmqiNgtwmMm9Ad/RSg1hfXvnRu2Pw+bGLSjCTJxzuMsYHblF9gsY6EGq0agqUMFO7WbkzauTHxdiD3iH0KRD2knYfeugJ7BRQ5bD3Y4NlYUYV+P21MghZbphfGrEu469iiC4ukPugkpW2xBQpEPLMOTJjVP+He2hQx7zuWMjahYx1ioG1doUGnv32XKyliW8LdFVu4L/VA4b7D2tiCjtC5zEzhY8aW+oIuV1fCXQn6rCv0x/ut6woNOlp4Y9uZdo1AmR399Rewx4ruUrbtS5PpaVnMZQof07q/vujXI1x7bBOwj7mcpgZ9Zd3vnyslpAbAOrBNKdwdS0wrrYaYUPU0oTqdGpfscn4WpT0KxPzGhApEb9CvSf1atYHxko0JFPmkfugZgbYl3PMzhbS6ncU6T4UgxlLGHhUino1lrUC0zP456GCtdhdzLYstqlOYHdv1p8fihLvp6FfW/YwtXosM7Vo7xlQnKCxdcQYn9QNdrjqJbdu5pTShSrwTGSLZPp8pdtB7TamDDWNL/bE7thTztygqtjbnBW+kPsCdpz3SaWWxH+drd07MPxaYgMU6Enq0b61NljJrZwrR5tALD3ckK51ONt1ib9PGpLutv1AYIPWjL6EtZUZleTln0caECVUvQTLVpVK1KLbMrJkpVEzekDom3KWhbILba0ZVbMEz7CcFYlDotdRSJrecc+2D/HboDYrCvUcl3G2y8OdMIbvWjvnFpFWOMVoQ25/YRRGZ13ZlFllwL2bThTnPwLZ5aWFJuMdb7BSw6+KQ6eindb+3AvaFcascY0pjC/E2tthUzJ1fTBbmPPtRCMITOAk92lIGc1owXNcGdLK9nTOFPAFJSr2o6wKZTQlV/QyT+gGFamNDk3kf68Z0yg6FO2yGMtmUbzcmQUEnspFQtSXhrjfR3XHOFPICiCv0TFRbYku+0K8PvUyYed21jUMmDps2AHvU3EpelNLU0OQqGpH6YatdmXumEDv6bXCMGU2eERvAHlnbcjKh6g36PIDi2GK2aB1nS84j0hxzdWmQ+tEd67dSZDiu1g7a53rpGKMs2i0pyGSyaZfgkbHFhpmo9gjYx9U6loh2SaQlJn6CxToSepCsbFodgL68AtVwcVaLl+jkHQ69xBt00EeBzIaEe6pk7gMTqt7QZKmljE7eoTu0tTnq6fWEFb1xhWo4mbZjIDdjix3scMUWOxKqeEZx8M3TwM4pj8BhEodK2woyuourp21AGhvzYhXi3b4Us1q0atgrsDd2xRa6gXhGf2K3dUIQnK1xxnb2ziz0ewOKYCiGOUxY0l1X6gZC635v6I4WZ15OLoyZGcZeg6S/fk4pQPUGOLHofJMWjdtSjImy0O8ZXVrAvpKTqYVxsYFxH1tgAhbrSOhBskGrdGxIimBzpGcc9Xewc8orsLA7dmVIuNtgVzauNkhQ0caVipZ4aCljwdoBxjhTyArgma8HcttgV4ZC/6wqGuqCEfEuoQrxhQ12ZaPq0NsV59wHe2KLnQlV4g3Y98XUvC89C8wrEFfSqqOf6nbv0HEdCXcb7MrcIiEW+r0CRTBXbFHnBXus+/2XUA0KiUiXNDU0q/EfxfnWXqFdr0xHf1uxoEjqyw4tBJkbKsy39hLaK9tBU6P7tWlDTiy7nDV7ID+fW1isI6TUrsyC7qn8jJJ8AGxuanV17xAPEu6W2ZWNlVhgUoFox8xLKNy9Trij0A+rMod+Hno9xbaZqGOzZ9x2WZEOT68nzLRFEiV2ZRbEFm2BSXtla/alSJh5rXBHbJvPzJZd20h9wZ5Px3YbkiK6OxgilQg7+j0DQgtnjjXOkl7blZmuS84UsgbXeIe5s54n3GfTk7KUy9txQhzLrlxvu6e6lBWmDXPrdGzBTE7HDYvUHwgt8IyAbG7RzK7zuutSF/opErInttjgRjY1P1rMpze2uPK5foHFOkJKbARTS/Oy4PF8EL0x2dG+08xOI95hk12ZmfuglG7cmHgLku0oetjyfKAjF17yTqEfHvPEO3TBAzMNvZ4P4ootid0s9FtlV+bt2pFZSpkZNg60V/YWHCp1wt3rzlxdEIqXxD3ibTEXcd/r+SCjSgiyo2OPp9cSdoxdmdp7eC0EQee4tmqliMwCx5jVvMKSBQl33RncqQrNxBu6o+65dV4m3PP2yjq2FPfMpP40N7VIr+qe8jrnMYU5yqtdl7BgZNelPZ2XyKVrgZ/XsaW3fcCX+XT/XTEhNSDaEnfNB/HSUgYKN1fnFDcmnmOTXRkKdXruA2YuEm8V7gMqMTUye9rTX4f+/vm5DwzzXmKGGasOAy/t7JCU0ZY2elNN7LAr87J7SheDsCfCbBviHThUumbmWhRbmGz3HiSlCvNBlrOezgdZWJxzzVFmbPEevXZ4bVemz7SYo4yZnMTrhPuAlecWxhbv0Z11sDbWa3u9wegRZ44yui7p+GBZbPG4e0oLUbCmsevSW2KtbdIR7S58PJL0LrasrKzIqPr+frVXZhaPkDIvYi9ViFPzY5JdXioka/ra/OevGzRssivTh14UYzBzkXjLjkSxWIeEGWYbegGU9fr50EVE4uV8EG2zfMbTzhin67K1Cfa+xXl6xBu0ihzdU14Wc2mvbB8DKrYg4Z7zqHsKHcG60M/YYsd8EJ1w91Lhrr83rJWxZybeosVaXtuVlcYW4j0DSggMIYhXCff5TNJVDBro2OvJdZAiOB+gqG5DzsNlrxzvN6NJiD0Cdgh15j1yI8vbKxdFhnQDsQPtrKAdF+rNdGrcVej3q4iMxTpCyijc0VYNSyjPvbnbBowCjtimJDrj3RBufehV10S8A1aTkWZHKbzi2cEGVlhOoR9DuKlQtVPh7lh21Bu9acY1sevSku4pl1DojGeFfqwfDowtdgDbFkcpnLfALv6O6gn2PE6hH53Cfpz7EET063TEw4S7ywLTpwmRoIGzY098h+fztlHon1b2yjs469KihHtDoXsKc+O87qpDNz8L/XawQxXVR2ZP2WHd38Gchw3E1riReXNugc1ianGu8DHPLXagxXyz6SnP3MhGVGyBE4VfC/0s1hGySmes11g/5VnxpHU337JLb24b0QkIr+zKYAeBQ5XfW7qD2D2lffS9sitzWWAmdtIOwhLwOtUJdy9mT5muS/V9mVC1U6U67pFd2fj8SMnch6INEvEOrBuuge0exZZh9X3RSY6YR+xIikAxDDLZlCfdUyjGaAtOxhZ7sGHedv77Fgv9CWWRRbwDvws9RmHEow4IXQhiV509DHYWOxyT6WlPZk+h61J/X8YWe9C/C68EyjrngeJhMYdLvKQd7grKjcyrfPqIej787AbCYh0hqyD5MKjsF4Zn6q8kwobINYSbClWL7crqn3Afnj1ZeL873u+ahUXssStD4rvexVwk+EdUMoaHXrvsyvTBZsSD2IJZl7oYg44dYp9dGeYKepFwH5454bKS4dwHe9CHTCS+613MxTOpO/oGOv176A0aUAr3KCvMYQ86IMbmzrqKMXAaIHagOw3ycwXrn3Afmjnpssdiod8eSudt17szF88kOi8cBn2cUA0asDPW3VNexBYtMEDXZby1ve7XQDaOLdMLE56M/9CxRedgiPd4bYU5g+YGlU/X1+M3WKwjRKET3F5YYbq8uWO9LMZYZ1e2q+wmoR6gQKgLyDs799X1+5P16W7rdxVz6909hXlCmEtSzlqP2KVShR1Vts5WmNqmBMUhFmMssytrK9qVDdc5tqCIq5WxOzv31/X7k407c3UxF3vTeoL1CjHNmWUDoRCxM7Ygoer8rryxV97NYoxFxFrb3An3OscWnKH1rEueW+xCi8hgKVfv7ind+YBODBSIiD14LWDXOTE/d8YEkY5ot2v8R72LuXPpGdesy0HmxKydiWry6XUu5o6o2OL35gYW6whRQBGq26i19U99WnaLwU7b6hE70JsBFGOQOKsXsBmCzRGA7RE3rnZhCmTacqjOdmV67UByl7Mu7aKvbVCaG/PzR3MrORlPDnnWdUkrGfvY2VGMLTj0wra0nsUYp+uy1HaReA9EIJhf7JVKVR96sS9FrCP2gPXcscKEul1bUtYaOAhMzA27roXYxaCKLWdnTtS1eyqfwM1/P5ytu2KcdWlbMRdJdwe9T6wHbpuyvSz0WyxgR2Gknp256SW3rbO29CWWuJEpodDQdNGdox5owTzWMM66tIuOaI9EC8Xc+s41XCnJp/vdaYonLkLWWGHu82SoLiww9UYIc0GIXcA6Dsrycp1u9dyYmOvwsUokqGgbBhRzc3VKuKMYoxO4LOTaR2OJFaa2tK01E3MjBYsSdOhwCLd94DULe1IAEci4SoDX20qGXZf24bLRraNdGYox2vLb74feoFphalvjeu5LMYsE4hMAMUqv6hAmdrCzq9gpnVqcM/ZQ9UJ38uFsTQtM+9D2YPXMeaSWFmQmNVH4mPbK9oECiLszt545j2LxJ9aCDmHOurSNXZ0HCu9PpyaMrW09wP53SJ2h2bFtH4j17thyuq759NTSfGByYizWEVKCVoqgdVd73taSM9OPuCwwqRKxDyjKdXed3kzWvDNGHaLY7m8nSJg5iW50qqBjpR5gnVrMZcz7LMb4xQpzqG5zDc9OHy+8D3tUJHeJXaATViuH0QFRD1AY1Ja9jC12kndayHdPocO+XlaYeDacGXnNTa0uu1Zip13ZSB2tMHVswdoBUQqxi1hLXLrjxdft0Ezxd1ZLUovzJoHrwISqnehEZqlouJZo95FYa7skIsWiELEHt4D9ZN2KMWdVTmxX1wEW+i0EhVxtXVuv7rrZ9KQRnjjw3GJ/bIFouF5WmCMqX4p8erSl2OHnR1isI6QEtFNDxVNPNQCSIVqBuKvrIH8vlqLn+SBhhgNprYHNkGO5iYIhB+naCQp1+ndzZvpYXb6vVjvCLs2ZnUfsAr8bxwpzeSVXl7mGWDf03Acceon9HRAo9NfDZhkduU5iv6XJ3aFD7AHzFvTv5sxUMZFVS/S+FMVkWmDaCRTMzlxDCHcm61DMxd5XzyPbzdhiLbu6lM3yzKlCAb5eHduYR6Y7dIg9tEc6XL8bL2LLoFm/8mIUYq/IEIVczAqrNcn0lKtozHOLneA1u0vlxCBgr4frg44tmEemxxcRe+iO9xWsMFdkRYaUuKtWrKy45ycGwQ2ExTpCNvBhrsdAbtgMOZ0x+e4t/y8uQZ5rGG9tL7tpqBX6Gexr38V5ZBazu7tYaIeVHaxeakl2Oevq8OTaYS/oOtBKs3rEFijMUBgEKOKis47YO9fQKbTjd1aPuZdDJQkzFmPsZY8SceEwWuvO3MxSytUdrhX2xO65hvWwK9Pdv9gTd8Z6a/49yfbIzwMrFnP1nMFaoa2+0fnAYoy97O46r/D+2ZnjNS/mouCjuy51ZzCxC6zteq6hToTXijMqqd8V73PlXIi9Avb5xaTMpqdqX4xR+xt21dkL9hy6+eT09CM1L+ZOLYy57Fj9boEJWKwjpAx644gNZa1tIbSVDGaTsDPGXnDg1JsTWMrUMvjATlEP/aaVjN1A5QVLl3Kv7VqAgg+eEYCurSCoiIKM/v2gs67WthD60Iu1gzZl9oLfjd57nK1xMRfP3uT8SOFjHnrtRu8NUcyttVAI1uxQwwKoY/vYdWk1pSJDCHlqBW3K/EVeqLOrbhb+ODPDUtGB5xa7we+nUMzNpmU8WVvXh9NTRdcRdPVxHpl/YovZF9SwmLu87N7b6LloxD5irW2moFovK0wUY2AFDxqkwYgMiT8E7POZ2ZrPzD01dbTwfl/7oHlrI2CbAADnCklEQVQ+/Q6LdYSUARvH9khn4eNTkw/X7D4tZjMyqtTLbPe3H12sM4fSTPFQWm3wbDjFGNgs9ifYGWN7MXe3UhKdmTpW02KuPvTiuWxenZlH7ARWdhHHFmJl2TwftQLqsumF8cLHtFe2n53KSg6FtFrOzEVC3ynG4JmE0IDYXczVew8957jaIGbp2LK7+7xCMpfYCSy4nZm52eWlmnZuz6QmXOplJlTtZ5eyWR6ZPVPTzlwtUiuda0TsA3OMBxKYi1r72JJbzpnuPYe93YfYdWk52HegMAKwJx2rYWcuHGmW6DTlK1xWmLMna9qZq2MLztOtzdGafS9SOeiK1TNzazkeZjGbcY2u2tN9SIIAT16EnCPhvq/nfFdwqJVKFZYCjkoJQae3fZC/E8tpiySMHWY9lEQnJ4642rmdZAyxF11wTy3NGyVYLYByGUkzhz3dRSsbYiewGdQbSKjAaqVS1YcaJMu0lQ2xEwzD1jNza9U9hWLMycmH3MkYzoyxHi0Emamh6wMKxYhdeRpMsY7YTXNTi6toBpFhrYRCOrYgERME9XLQgQW2npk7kqyNzTLEhaeVul0ncok/OiBgfwwb5FqAZKozj7epwS1AIXaCmWA7OnbXRcCu3UDoNOVDm+VsWibmio4d1S7G6DMR1w5/sLu7uC/F789pQKjFvnRF5dP7E0U3AT/DYh0h5wBBoB4q1bOlNmVUL/uCnSopAh/mWhRz0S6uff339VxQ9e9Bqk+sJe4qutdqYLvufOiI9UhHjMUYP4Ciaq1VqnmbsmJsQRKXxRj/2SwjKVILlSrm5BY7Y9ziJGIvWOPRqVLP2NIPK5mWeE2+D6kue3uKQhDMjqmF5VCpTdluJU4iltssKzu7kxMP1aSYi7OyLsaw0O8PMPMSdscAHfd6JmU10YVcWG9DZEDsZ2/3+efYP1a3GDM2p52migVkYndnrp6HroWA1d6XOjPYW5sinHXpo2Kuk083o31qMI99BW4gqmsPwsag5NOD8VMQUgeVKoJPtQ82OEjrzhhaYPrLUqZQzM0t1iRphsO07rjQ3XzEbvaoQwa6Z6ttOYQNjy7G7FED4ondRFtiNVepwkqm2BnjtsAi/inm4nc4OlucWVotTqjD9I7ELnbG+Ijdaq2HnVi1i7mYZajn5AbFSiYMoJCr7WxPTVU/tqBQBwGjU4yB4wPxX8Idxdxquz7gjKxjC2ydOYPdH6AzRhdH8rPJqpvzmM8kXc8c3UD8Q0/bDmlrTRQ+PjVZLLpWC1jkuZ2mBqr+PUht2NvjLuZW2/UB+1y9n8H34wx2f4DxLHpu7eka5EunF8bNTLwgxhYW6wjZpEo1bzlXXZXqI+P3F95HIYY2Zf4BB1BdIDkx8WBV7eyQMIP3t8O+3gur9rVJ7dH2HVCCVXsGhCkAOgmzko0QsZ9aq1R1bOlv32VsbIg/gKXcgOqAOD7xQFWTZjhET6huzn297Nj2E1jrteXQaJVVqtpKJtIclT7OyfXtuQVdTuhWqBZYh3RsYWeM/zpzkXR3OD7xYNUTZjgrO+ynG4hvrTCR+Kx2MVd31bVHOqUz1lvVr09q6/qgCzIorGH+YLXA1zquxn7sCVBnTFg6c/Gadjg+Xt3YMpo8U5jhDTEjZl0Sf1r4Ty2Mylx6pmaxpbdtwMzKCwpcBQnxSKUKhZluBT7Ydwl/Fz4jn+RUHRDJon1DpZyeLM6yijTHqF72GVB86c7c4+MPGPuoaiXMtKoRyVtayfiLWqpUkWDRSZaD/RdX7WuT+nCg96Jz2iFXiraoweG6Rw3/Jv6wHBpU3UxHxw5XrZgL9bI+9KKLjwkzfzGQ2GMsopzf59kqCoWQMJtfTBY+PtjH2OLn2ILZZDiLVosTk8Vkew+St9Fi8pbYDxKc+L3p2FJNNxA9j8w4CHBOrq+A+1NjQ5N5H1a3I7Onqva1EacgPgL4HhQo+wu8lg8oUfnQzHEjOq+F0xTsnCMtecte4g8gzNDF3GPj1Ysti9m0DKt8epC66gCLdYRsgFYS5VWq1Qk+j4w/UHgfSVt04hD/HWy0BVC1VKoo6qxp96fCzHcc6Luo0AGRzqaq1l0Hi0Ntn0ubsqCoVLNVjy0Qm2jBCfEH6LTXv7dqqVSRYNH2uZiDyoSZ/9DirrnMjCmiVIOh6ROuLl/daUH8IxTSc8JOTh2tilVqaVcd9r5tkY6Kvy6pL33tO12/N7iCVIPUotuymV11/uQ8FVsm50eq1l0HkdBSLlMoxnDsh/+AW4x2canWeBjEJ31uQRcOuvqJv8C8bdiXFmwrqzTiYTbltmze10OnKb+Bc+Z5/cXYMjRzymVbWQnHxu93zTIMWj6dxTpCNmAgsdulUq2G0gyt3Jg1otWpTJj5X6UKC5jphco7IKAQcRRJKPYETSUSFmA9qGfXmQ1Fhd11OBg9PHpP4ePetkHOMvQpSFZg5o9TRDmhLGC2CyyooJZ3YOdDMGLLaPJ0VaxSMVvVKQo3N7VylqGPXR92JHR33X0VJ80Qm/B1HHZ17g+UlUyYyFtErbo+LM5VpbtucmHUNQqAbiD+BGfN/SrZiW6nalilQmC4Ivk1KNbSJv20z/Wt60NXvK/wcTVyHtjf6mLMvp7zOcvQp+B354B4MDZXuaMQXKacGduwOITQlfhTKAQBoMPJyYerIkLVbiAdsR7pitM+148MduxVjkIrcqxK+fRTypnoQN/FgZtlyGIdIRu9SBqbXAlPKEUqtQ1BUtaxOIw2x4wahfgTbBq6lO8+5gtV6tuuizFQsVFh5l+Q0Cp015UU6bcDOihm01OFjy8YuLziayTeqVT3qoMNirmVdm7rhAgsJ6CiJ/6kP7FL4soqtdLObcy4xDPmgJmrmHdJ/Mmh/kvdRfoKk2anpx9xJcwO7WBs8fPcy11dxXPFw6P3SrbCpNkjYw+4ZoKg+5f4VyhUFKHmKu6ASC0tyAllU4aEvrPvJf4r5h7qv6zwMebbVipCRc4DBTuAPQcL/f4FxZK+9sHCx0dG7q6oc7vcHFSKhPwtFCpapWZcTh7bAXtb/TXYse1fsCc4T51bzs6crDiffmzscLGrrjnqEhMEBe6kCNkESKiiSwZAOaiLKVsFCsZTaibI/r6LAqcCCBtQcmiF2NT89m1DYEmjE2Y81Pg/aba7qzi77tjY/ds+2KDA/5Bae9DqzwHt/ga2EOhwAlAg6s6WrYLOK1g1uwvF+e4K4v8ZEJhjWslQ7lMzRRsqJMz2q69N/EdHrNtl93J0dPvddVh7tMoV9pdMmPmb83dcUbBPh1NDJXaH6KCYmB8ufMx9qb9pamxy2XA/MvGAEZNtlyPDd7lsqLQNK/Ef+WJ8UYR6rIJ9KXIeWmiEfQfmrhL/cuHAVYX3YWUHx4ZKxjqgIONANxB/g9e2znk8PHZfoVC/VbCffWD4jkLHNvak6M4i/sVdjHcX6reT8zg9dazw8aG+SwMpQGWxjpBNHmwu2HFF4ePh2VPbVpo9OHJnoS0cnRVQtxN/syOxy9hSOdw3dOu27A5xWNadDzhMt3MmiO8xRRPHkmppfttKsyGjQip6fJ/PzgffgxiADaYD7By2ozTDoeb+odtcNlQYwk383wGhhUKH8TveRkFmYSkpQ8kTrrk0UQ5o9z1apYqO67G5oW19Haw7mWzKvI8Cj+6sIP4k1hJ3FeTRde3Yq28FiIuw7jh0RLuNVR7xN7Arw/4D4EyKpOh2gDhxeLYoErpg4EpaHAasuw5xZbs5D6w72npb23sTf4J8h545+PDYvZLNLW356+TXndsLH/e373TlUoh/cx5Odx3cYh4auXvbTkKT86OFjy8avIbNDT4H54vzVM4D+bDtdtcdhf3/as7DjJ0JqEiIxboS7rjnfvm91/+V3Pj0F8oNT3uePO/lfyz/8c3vVuVmv/ldH5YrnvQs83b73ZX7tJL6AqtKHFIdjozcteWkGWYJ6UQ9AlpzU0tVr5N409p96c7rCh+joHJ8G/OnYCdRLORGWIwJCFAR6YPNg8N3Smox3z25WfBcQKGm1Uk81AQD2DaguAaw8XxodOsHG8QVKFQdDu24rNBVQfwLVIKX7Ly28DGGrJ/Z4vwp7FOOT0EEUizk7mfCLBDAihAJLofDZ2/d8vwpfL5LJNR9fqFATPwNzhi6IIPuy61yfPxBmVWz6tCxx47tYHRA6A4ZuILoebebdXu4XyXbcUbereY0E/8Cq0Od87j37M+2PH8K5xw9b+pg78Us5AYECNh1QWY7OQ84xRRnMdN6O0iOQtqmHW5iWy32Y61BrkSvR3qvS/zLzq79rpzHvWd+umXHqaSxRy0KUCEuCapLHTM5im/d9BN56Wv+TH70szvkwkP75fE3XCMnTg/Jm/76g/Lej3ymohv9s9vvkX/7+n/zgONjcDjVBxskzbYyfwpt4PedvdXl+00bqmDNroNXt1Z8FDehGzO9MC5DMydcG2EnyUL8DzYSTns+Zkfdc+anhbmVm0m2IwmbWn2e0KV3fj/nCQUFbDAvGLiiJGk2tKWOXK2Kx5y6XZ3F4jDxf+e2tjuEUGgrsw2RgJ1Ojxc+vmjwauMWQILB+QMonjh2hyk5PHTrpoVk+Lx7ztxctEdtaJKD/ZfU9HpJnTu3VYfM6S0mzWC7i64JB4iO+hNMmAUFFNa64n2Fj9FBuZXZhqenHnFZ2F2881HMcwQp5zHotjt8cPiuTf9/uMvcdfrHLnvUfb3FGc3E30DQo3NYxyce2FKHDHJomGXogI5LzkENDvh9tilnKOxLt1KQOV4yEgZddRQJBQMIiS8cuLLw8XRqwmXDvxHZ3JLceerHBQEqZrtrQXzQYLFulZnZpOl8y+WW5X1v/WP59N++Td731tfLf3zuw7Jv90757Jf+XW65o3hg2QqZzKK89W8+Kucf3CtXXcb2fz/T2z5gEqEOSKBPLRSTYOsBhYhjM4TEyhW7bmDnQ8CA/Yse2m5s6TaRNIM1EYo3DuiY2tNNdWrQlGaX7HyU66ACe5jNgATbWVXIRVdMWyRRk+sk3jDYsc+lYr779E82NZ/MKeSiAAyaG1vksl3X8VATMLB2OMV+CH+wn9hMbIFgBIdkPYtGF/6I/8G6cYGyREaxf7PdlxAVuTtyL5dIc7Qm10m8ASIyrWK+49QPN9XZDzERumkcURGei4sHr6n59ZL6geTnZTuvK9i0Q/hzdHRzuQ4U6SAc0e4z3arwR/wP9gvatvLU1MPGmm4zQECGWZdaJNQcwHlCYQbz5XTn9u0nv7+pzn587r1nbil83NaaoJNQAEWolypXEMQLXZxdD1hfHhsruj2gyM+RMMEC7lDYMzgcHTu8qXz6ysqK2ZcuLBaFAdiXBtlJKLg/2Rb5l69+W+bmF+TJj79BfuGJjy38fV9Pl/zhK15k3kfBbjt8/B/+r5w8Myx//oevkOZmqpmDkDRzNidQidx58ocbdlAhcaKTJ+f3Xybt0c6aXyupL3guoP5xQBLsvrO3rNtBhcTrbSducj1DlwxCncrlOWig20kPR3549N4NVe749/tV11R3vN/VhUWCgUma7bredLYAFN9uP/mDdTuojL3hxIOuOVVIiNDCLnjgd6q7aVG8h23yegW7zFJKbj3+vcKcKiRkcaihOjV4HOi92DVH7IGh2zdUuaN7F8U6BxRxOU8omEmzy3ffUCjIIKYgtqw3YwjrCtYXnWy/dNd1dHsIIDiLHui7uPAx9hQbCcmwttx64qaCSAhCEq2UJ8EBLi/ach9FFuwtNrJlh/WdA2YJBbnzIcw5D8QFB+Qx7jz1I9NVudEMVJ1sR3yi20PwwJ5U2yJjT3Fman0hGSy37zj5Q1dHLmcoBxMUcx0hGaRk95yGy8fiuv/nxMSDRpCo53YH3e2B2eBVvn9zXnn81CcVC3UOT3zstRJpbZWbb7vbdMlthSNHT8inv/jv8qxf+Xl51JVF/17i7/lT1+x9fKGYspjLrCZVM2UPvPDkvvfMz1wqaH0wIsFiZ+c+463tgCLt3afL+zHnlWg/cNnI4GDU3dZft+sl9QNJchxsnGIKVO4o1A7Pnir7+TOpCbnr1I8Kxd7W5qhcteexgVYQhZmOWLdcuae4B4EFCA4t5WypsJ7cP3S7S9ne2zbIeTEBBupS2Gdr2yHMCypXsMN+BMlUx0YGnNdzOUVCAY4tV+x+dFHlvpKTnx3/jkyorrlS5TLsL/W+1hR0GvIFHRK8pNmlu4oq97nMjNx9+uaySdXccs78G4o2Drs697MjN8BgvhDWAAfsKx4eva9sbEH33a0nvlcQEqEIjLWHIqHgFvuxL3Xmk8Ey+aeP/Pc5hYajs2fcIz+i3XLxYNFVhAQLCFCRt9CuMfcZK+61OQ8k4u84+QNTzHWAQEhb8ZJggfFByF3kyXdFnZx8uOznzmVm5dYT3y+IQLDmXLX3cRQJBZTmpha5cs9jCkIynFd/9sh3yroKraysmHwqCr4654Hml6DDjN8qR47mA8elFxZnTjm0tLTI+Qf3SWZxUY6f3vzw5eXlZfnL935EOtrjhe48EgxQTIHVmPZy/8HDXzeeu1CrIpGKxQYHXu3D29IUMYcaJtuDC5JdV+15nOmAchiePWmS7ui0Q3IERTqoi/IHnnHXpvVgH+fFBBkkU6/c/RiT4gDYlN516sfGyhAJdmxIsIbAQvXmY9+WtGOdKw1y9Z7HSaQl5vFPQGrJjo7drtmo8HL/wUNfM/YhSKJi/UBxHwdeWBI5IFF2+e7rmWwPMNg3XLvvCS6V+6nJh41lKoov2HcgGYKDMGILEvIO+7suloH2YlcvCR5YA9Cd64BkOgq2D43cbWIKYgtiDCy3bzn+3YKCFQmRq/feyIRIwNnTfcjVOTk2d1Z++PA35PTUMbN2YF+KTjo8G9izOmDujHaMIMEDnXHX7f85iamC3dGxe03RBWcUJN6xdhwff8DEFhTsHC7bfb0MdOzx6MpJPYAF3cWDVxc+zidV/9t0YDqxJbW0YM65sNl1umJw3kFsYddUsEHeQs/JRjHuRw9/U4ZnThbOtLC4wzOjbbcxo+58ZeFNgkdrc0Su3/9zqmAnJr8Bm1x00eH5SC+ljA3iLY98pzA/GTkPFOq0YwQJHijUn6cKbji3/uTYt+TU5FEjVF5ZWSl08qPxBSJ357xjCn0hEK/TPBoPxvyCJOfyG8+B/t6yNwp/f9+DD8vQ8JhcdGhzrfz/9G/fkLsPH5G3v/HV0tnB+UJBA63dC5mkHBvP+ypnc4umiw4f4+BbqiqCJ/ej9j/RpV4kwVWLXLv/iXLHyR/JxHx+Yzo+N2TeYHOH4OIohxx2d51nkvRUtoej2I8OOSjMkCADsIxxbGPwfJSuH0iWseMyHCChCgGIY52MpDsONrBNxfPibFb1gRfd3izkBh8ceK8/8GTTketY1KEzF2+YV4h1A11VmvP6LpHBOGeghgEkzWEtA+tkJ4ZgT+rsU5EAca8fDaajTheASXCBVSGsypy5U0i6w6odMzDzHdzu2NLTNiBXU9kemrnKNxx4iumaw/4DnJk+Zt5QdMknztz7Utgqa5szEuxiPwQeD5mZhogisMq9a9XdId8boWMLzjHoyMNzRcJg43+diSforAPzi0m56/RPpKXptrLWdtirQLzuzGImwbZadmKLI/SAABVvsLnE81F6rr1iz6NlR2KXR1dM6t3Zn1teKrg5QOyBWet4azBnFlB8PrBmYF+KQnAY4AoJj+VUcSZMNFL+Fx+L5f9+fmF9n26H4dFx+dAn/1Guv/py+fWnPbniX9QzX/zqsn9/8syQ7Brol2Ry/dkUpDYMxA5ItjMnZ2aPSW4ln3R3ku+azmivXNT3KMllViS5wRwREhwu6LnKdNhOpUYLf2cSqSXJ1P623bIvcZHMza0/+5BszMJCUfFrM22NXXLlwI1yZPwOmV/KJ0YcdEIk1txm7Os6W3u5zoeIvYmLRJYbZCh5vGChW1rgB73xQTm/5ypZTGdlMc3YEhYu6r1WHhi7VWYzU4W/K/d87EocNPsUv6yLpHK6WgbkyoHHyYPjd0g6W7RBBToh0tbSIYdgjdrYxdgSIg52Xi6NK00yMneq8DyUWzvQiXuw+zJJL2QkLWtt/v0O18TyXNJ3vRwe/ZksLBX3E+WS7fs6L5Ke1p1cO0JEf3SvRHa0yZGJO2Uxp+cpu1PtHZEec26JrLTx+QjRunhBz9XyiNwnYwtn1107dncckn2dF8rC/OZyqiQYXNp/g9w3+jPJZIvPGEYJaVCcMZb9jT1cO0LErrZDEmtMyEMTd0t2ubhmrJQUcbuj/XKw5zJpzLbW7fnAmphIeNd0FZhi3Wve9E45drI4cHAzvONPXy1XXHJhTa7n7R/4hCwuLcmf/eHLa/L1iT1qoj2d58tA+z45mzwmQ8kTBfsHhJxYc1z62naZjQmtL8MH7KUu7nuUjM2flYnUsMykJwrPR1NDs3k2kBBpb+30+lKJB2Cw7hWDj5WT00dkeO6kWjuwejTKns5DsrvjvMKsCBIeEC9gXbiz/YCcnj26mlhdLhxm8OzsaNsjOxMH2Y0bQtBFd+mOG2Rk7rRMpUZkJj1ZeD7wbxCAYF8Sb2Enfxhpa+2QqwZvlONT98vo/JnCswEQT5Ao25nYHwoLGeIGlnRIhu3qOE9OzTwkY/P5Ljtn34E1YzCx38QXOj2ED3Q6XDHwWLMnhdAwmZkqJMxaGiOyo32PObdEm/Ozl0m46Ij2yFWDj5dHpu6T8QU4xxSTqdh7YN/KtSOc4Pd/Qd/VsnvpkIktE+b5KO474i0J2dVxUPriOz29TuINiBkQko04sWVxuvBvkaaY7Gjfa9aOiLLMJOGhO7bDxJZjk/fIVDrfoav3JQe7L5We2GDo9qWBKdadGR6R4yeLB47NkE7nK7fxWHFRSGcy0l5mA5pK5Sv/bfGN5wV966afyPd+dIu8/EXPkfP2V8fH/Suf/eA5O+7QueNlxZfk6enqlQuzV0oyPWWsqmB7icHMhHR0dMohucTMm5pKjZs/MdMOdpmkNvhpTbyi4wa5bOU64+sPhTvekDDj80FEEtLb3S+ZpaskmZmRaHNM4pEExR/E0NkB+8LLTUc/ZoIgcdYd33HOGTF+WhdJ5Vzd+Tiz38jHlaz5E3tTWk+RhCSkv3vAzJqC7SEEIPHWttAVcLkmlqers9v86cybgoAIVuwUnhLQ0/VEE1uWEFtyS0ZsyLxHcKhkXURsGejZZSyX8YbxL4gvYUuyk3PnSwHmoGIue0tji3TFe0O39yDl146+7qeYM605s+RWY0ukI7R7j8AU6778qfdv+/+2t8Ul0R43c+tGxibMx6Xg78HOwf4Nv973fnyL+fMnt94lt9192PVvDz6cn0Hz13/7SWlvj8sznvYUeeYvP2Xb107sAv65ve2DXl8GsRQUb3vbBry+DGIh2IRg/WiVcHhwk62BeXScSUfOBYovfdx7kHPsO1rxxrtDyhBriZs3QsoB0Vh/gp0wpHxsieCNnTCkDCjS4Y2QciDnwbl05FxnWrxFGFuCU6yrlAsPHZDb7josh48clUMH9rr+bSmblYcfOSmR1lY5sGfzwy7vPnzknP/2wGrRDjPtCCGEEEIIIYQQQgghhBBCSDhhsW6VJz7mOlOsg4Xlr/3iz7lu0vd/fKtkFhflSY+9TiKRjbWpb3/jq81bOV76mj+TW++8Tz77obfLo668tBq/Q0IIIYQQQgghhBBCCCGEEOJTwmn+WYZnP/0XjP3ld3/4M/n2939S+PuJqWl538f+wbz/4t98xpr/92svfJV5c2wyCSGEEEIIIYQQQgghhBBCCNks7KxbpbMjIW99w6vkdW95r/zhm98j1199mfm7m2+7W5Jz8/Ki3/h1uf6atZaVx0+eMX9ms7lN33RCCCGEEEIIIYQQQgghhBBCWKwr4alPeqx85oNvk4//wz+beXPZbFbO279Xnvc/flme8bSn8IkhhBBCCCGEEEIIIYQQQgghVaVhZWVlpbpfktSTZ7741bK8vCz/8bkP88YTQkJPMpk09yCRSIT+XhBCCOC6SAghRbgmEkKIG66LhBDiXhO9zCmyWOdzHv2058lSNiv7du/0+lIIIcRzIF4AjY0cyUoIIVwXCSGEe0VCCOEZmhBCNp9X3L9nl3zor/9UvIAz63xOJrMoy2yOJIQQw+mhEfMnBQyEEMJ1kRBCSuFekRBCuC4SQsh6e8WRsQnxChbrfM6BfbvNn1/57Ae9vhRCCLHCGhhwTSSEEK6LhBDCvSIhhPAMTQghW80regV9wgghhBBCCCGEEEIIIYQQQgjxCBbrCCGEEEIIIYQQQgghhBBCCPEIFusIIYQQQgghhBBCCCGEEEII8QgW6wghhBBCCCGEEEIIIYQQQgjxCBbrCCGEEEIIIYQQQgghhBBCCPGIhpWVlRWvvjkhhBBCCCGEEEIIIYQQQgghYYaddYQQQgghhBBCCCGEEEIIIYR4BIt1hBBCCCGEEEIIIYQQQgghhHgEi3WEEEIIIYQQQgghhBBCCCGEeASLdYQQQgghhBBCCCGEEEIIIYR4BIt1hBBCCCGEEEIIIYQQQgghhHgEi3WEEEIIIYQQQgghhBBCCCGEeASLdYQQQgghhBBCCCGEEEIIIYR4BIt1hBBCCCGEEEIIIYQQQgghhHgEi3WEEEIIIYQQQgghhBBCCCGEeASLdYQQQgghhBBCCCGEEEIIIYR4BIt1hBBCCCGEEEIIIYQQQgghhHgEi3WEEEIIIYQQQgghhBBCCCGEeASLdYQQQgghhBBCCCGEEEIIIYR4BIt1hBBCCCGEEEIIIYQQQgghhHgEi3WEEEIIIYQQQgghhBBCCCGEeASLdYQQQgghhBBCCCGEEEIIIYR4BIt1hBBCCCGEEEIIIYQQQgghhHgEi3WEEEIIIYQQQgghhBBCCCGEeASLdYQQQgghhBBCCCGEEEIIIYR4BIt1hBBCCCGEEEIIIYQQQgghhHgEi3WEEEIIIYQQQgghhBBCCCGEeASLdYQQQgghhJCKOHDggDQ0NMjP/dzPhfZOvuQlLzH3AG9hoxY/+6tf/Wrz9Z70pCdV7WuS7fHwww/L//pf/0sOHToksVis8Lt+y1veUvdbevz48Q2/v/PveC7rwfe+973C9/zMZz4jYeW3f/u3zT14xjOe4fWlEEIIIYT4kmavL4AQQgghhISX22+/Xb7yla+YZCeSsOPj47KysiLd3d1y4YUXymMe8xh5znOeI9dee63Xl0oCDJ65//qv/5IvfvGL8rOf/UzOnDkjc3NzEo1Gpb+/Xw4ePChXX321PO5xj5Of//mfN88nqR133nmnfOQjHzHvv+Md7+Ct9pC7775bHv/4x0symeTvgazLm9/8ZvnHf/xH+Y//+A/52te+Jr/6q7/KO0YIIYQQsgVYrCOEEEIIIXXnyJEj8gd/8Afy9a9/vey/Dw0NmbebbrpJ3vWud8l1110n73nPe0LdueX3zrsTJ06YLikUZm0ChbnnP//58v3vf3/Nv83Pz5s3FJK/+93vyvvf/375pV/6JfnmN7/pybWGhde//vWSy+Xkl3/5l+XGG2/0+nJCzZ/8yZ+YQl1jY6O89a1vNWtwZ2en+bcdO3ZIUMHPifizf/9+8/onm1vnX/ayl8lHP/pRecMb3mBev3huCCGEEELI5mCxjhBCCCGE1JX//M//lOc+97kyPT1tPt61a5f8xm/8hjzhCU+QwcFBaW1tlZGREbn11luNQh/dd3gflme2FXpIHr8ms1GEQFIeNn/goosukpe+9KWmONzb2yvpdFpOnz5tnr9vfOMbpsvoXMD+LswWeNXihz/8oXzrW98qFIqIdywtLcl3vvMd8/4zn/lMedOb3sRfB1kXFOk+9rGPyX333Wc6lSGEIIQQQgghm4PFOkIIIYQQUld7u2c961mSSqXMx3/6p38qf/7nf27sBkuBhdZf/MVfyH//93/LH//xH/O3RKoOujadQt1v/uZvyuc+9zlpaWlZ83n/83/+T3nnO98p999/vynckdqBDloA61EU8Il3wJY4k8kUCtmEbAQ6EZ0O6ve+970s1hFCCCGEbAF6EhBCCCGEkLqQzWZNB51TqEMi7+1vf3vZQp0GM8J+8pOfGHstQqrJl7/8ZfNnc3OzmZFWrlCnueSSS+SFL3whfwk1tCT96le/at5/0YteJA0NDbzXHuIU6gA6ngnZDHjtgjvuuEN++tOf8qYRQgghhGwSFusIIYQQQkhd+PznPy8PPfSQeR/Wg3/0R3+06f8biUTWLZKcPXvWdOlde+210tPTYz4f9ppPf/rTjTUh5l+tZ+GIogDeYLUJbrnlFpNwxAweFBP37t1rOq/QGaiZmZmRd7/73eb7dnd3S3t7u1x//fVmZs/y8vI5v+dLXvKSwvcEc3Nz8o53vEMe9ahHSVdXl/k6V1xxhek6xPfY7BzA17zmNXL55ZebmVLOdaMr7F//9V83VUz99Kc/Lb/yK78ie/bsMf8/Ho+br3HNNdfIK17xCvmXf/kXWVxcXPN/cZ/ws5TOFMTH+HvMqwOYAeX83PrtXPamsKCE9d4NN9wgfX19pmAwMDAgT33qU01xTRcTKrHvhOUlnptKKP2dnovJyUnzrF522WXS1tZmnhs8P+jyW1hYMJ/jfB18zc08r7Cc+93f/V0577zzzO8NP8tTnvIU+cIXviArKyvrXg8S6phF9ou/+Iuyb98+icVi5mvs3r3bvH7+/u//vuzvvBb80z/9U+F1g8L+RsAu8wUveIFccMEF5l7i+YCVLu4t/v/f/d3fme6wzT6vm7nXGjy3zr87Fqjf/va35dnPfnbhNYQOQQgNjh496vq/w8PD5vWN13kikTCv2Sc+8YnypS99SaoFfvd4zWINwOsY14PvgzUCa4WzHp/rWca1O/zlX/6l6zWLe7gd21k8k7gfV199tVnrUCjHn1dddZX8/u//vjzwwAPiJc7PjrUKYO0qt2ZtZHkLgQksIPGaQjzq7+833eIbzbt01kzn/mK9wOsTawTWKfzba1/72pqtlbj/mCeL34eOpb/2a79mYvh6sdQBz39TU5N5H93KhBBCCCFkk6wQQgghhBBSBx73uMehamDevva1r1Xt6372s59dicViha9d7u2KK65YOX78eNn//8gjjxQ+7y/+4i9WPvShD600NzeX/TqRSGTlq1/9qvl/hw8f/v/s3QV4XOeVP/7vMIPYssxMwSYOc9JA05AbTpomTZsm7baL7XK3v+12293tvwzBNtQwcxtomBswsy2DLB5m+D/nHc3VyJZk2dZo6Pt5Mk90r+TRqzszd+685z3nZOfMmTPi77zkkkuymUxm2N95zTXXaD+3devW7Pz580e8n9bW1uwnn3wy6jH47//+7xHHnL+dfPLJ2d7e3mH/fVdXV/awww4b9d/nb+vXr9/j30+fPl1976STThqyX7bHcp+vvPLKHvf505/+VB3v0f7d3Llzs6tXr87uL7fbre5Hp9Nlu7u7swei8DEdyQcffJBtamoa8e9ZtGhRdtu2bdq23Ofenq+33377qMfp2muvHXE8jz322Jgen0MOOUQ9Tw/kbx+LE088Ud1HXV3diK8dkU6ns1/84hfHNPZbb711zM/XvR3r3cnzNv/93/3ud9lvf/vbI47D6/Vm33//ffXv3njjjWxzc/OIP/sP//AP2QPV09OjHc+RbnLO+J//+Z9RH8+RbnIM95U8j/Z2vwaDIfvjH/94vx8TMdrrZ2/G8rfnH++Rngf/7//9v6xerx/x337ve98b8ffnz5lyfD/88MPs5MmT9/j33/rWt8b9XCmvqe985zvq+I92P0uXLs3u2LFjr8fx0EMPVT8/bdq0MR97IiIiolrHnnVEREREVHThcBjvvfee+loyd2S1/3h48MEHcc0116ivpYShZH+dd955KltJskYko+D111/H8uXLVR8dySKS743khRdeUGW7Fi1apLIXJLtAMhKeeuop/PjHP1ZfS8adZNhJBlp3dze+853v4Mwzz1QZK/J7JANHMnJkbPIz+fGN5OKLL8batWtVFoZkCUlmkGRz3HbbbXj22WfR0dGB008/HStWrEBzc/OwPb7+6Z/+SX0tGXmSMSPHVzKNZDw//elP8emnn6osIBnnm2++uUdJO8lokWOTLzsqWYySVeN2u1Vmn2RbvPbaa1qJwrGSTD157OX3SvbjEUccofbtrjCDR/znf/4n/v3f/1373k033aRKULa2tqKrqwvPPPMMbr75ZvUYy7H58MMPVRbJvpLxvPzyyyoDSR4nyRwZ7flxIOTvl+w1yZQR8jy99tprVeZNZ2enyqi66667xpRRVphZ9s4776iMOnncJftGMpUkq+f73/++en7K8ZbHVJ5bw2VTynPm7LPPVhk9CxYsUH+/PObyHJbxvPLKK/jkk09wwQUXqNfG3kqF7i95bcm4hWQHjZaheMstt6ixCRnzDTfcoDLUJBNIyuxu2rRJjfXJJ5/ERJEsvrfeegvHHnuser7KuAKBgMokk9eyz+fDVVddpV7TkrEoj5M8RpJNJ+dEeRwle00yAeU1LeeOvWX+jXYs5RyQf00ffPDB6nwmGXVyfOR585Of/ES9Nr/97W+rsUg2VZ6UJ/77v/979ZyV16648cYb1d91IGUx5fkmj5P8/ZJFLNmH8nySrDB5f/jtb3+rXh+SdS2vC8kInGj5v11em9KfUrLK5H1hdzL24UgmqrznyN/39a9/XR1zyRaV3qvS91KyqOU94pRTThm1J6P8nLzment71Wtbng+SMSfHqjC7bbzOlZKZe/vtt2vPF9meM2eOygiU3yklg+X8KI+TnC/ktSqZ1yM55phj1Ptke3u7yiqdPXv2Xo48ERERETGzjoiIiIiK7q233tJW5h999NHjcp8+n09lq8h9ms3m7Msvv7zHz0h2zvXXX6/9bvl6tEwNuZ155pnZWCy2x89JBkr+ZyQrRrKyhst4kww+u92ufu7www8fU/bGr3/962F/TjId8j9z9dVX7/H9DRs2ZE0mk5aNtHz58j1+Jh6PZ8866yztfr7//e8P+X40GtXu44ILLhg1oykUCqmf39dMpbFmMok333xTy0r55je/mU0mk8P+nGQnWa3WER/XsZAsycLHQR63ZcuWqUyV1157Lev3+8d8X3vLLrvsssu07//7v//7sD8jWXKF49lbZp3cTjnllGw4HN7j5+S5IK8L+ZnPfOYzw/6+jo6Ovf6Nt9xyi/a77r777v3628fivffe0+7jX/7lX0b92RNOOEH93NSpU0cdv2QL9fX1TUhmXT6LUX7n7m666aYh5w4Zd3t7+x4/984776gsT/m5iy66KLu/JHMr//s+97nPZROJxB4/8+mnnw45f27atGmf//59tWbNmlG/L4/VkiVLtEyw4c5Fxc6sGy7DbW92fx5cccUV2VQqtcfPvfDCC9rPyHlmtN8rNzm/yXtnsc+V9913n/Y7//d//3fE94CHHnpIe37u/j6yuzvuuEO7z/vvv3/UnyUiIiKiHPasIyIiIqKiK+wbtT8ZUMORjCHJVhGSCSGZCruT7Jxf/OIXmD59utqWbBzJNhqJ9OeRXkTy/91JZkl+v2QsSB8hyUDYnfwuyYgQktki2TWjkQwYue/hSOaNZOiI+++/X2VgFZK/LZlMqq+l55lkcexOMmDuvPNOlUElfv7zn6sMlzzJZMnfR75f0kgkW0/6XhU7s0UyUeRv+f/+v/9PZf0M57jjjtMyfaQvUiwW2+ffJT2kCn+H9IyTHl+ShSQZT9JLS8bxt3/7tyq7bH/J4yaZKUL6qX33u98d9ueuu+46lbUyVvJ8lGyX4TJcZNzSZ0r85S9/GfZ5KFmckj05mq985Suqv5iQY1Mshf3TZFyjkX5vQjIJRxu/Xq8vWqbk7mTMkskrv3N3hVlrcu6Q1630kNvdUUcdpTKSRL5n2r6S1/Ivf/lL9bUcGzmfDZcNKRlu0idTSE9CGVOxzZ8/f9Tvy2Ml57z880EygiuNZD9LlmW+Z1shyayV56wYqU9nIckwzD8finmulOw8cdZZZ6n30pHeAyTT8cILL1Rfy984msL3+ZF6IxIRERHRUAzWEREREVHRFQYK8kGjA/XHP/5R+1rKX45EgktS0iw/KT3aJLiUCRspUCDjnjt3rrY9XFnBPCmBJiTJY/PmzaP+Hddff/2I35PJ1/zYZRJeShIOdwwkiCYl9kabQM6XlJNggZQny5PSavkA3H333afKr5WK/O783yTlIIeb8C6UD9BK2T8pWbc/JJAiQYEvf/nLKjhXSB6/lStXqpKBErC6/PLLVYnIfSWPWz5AKmVUhwvoFAbsxkqer1KmbyQS/Bnr8zD/HNuxY4cqeyplV/O3trY2LehXLFLuNU/KWY4mX4JQSrNKCdlysGzZshED2VJOMH/ekwBaPog62rlDyh/uz3NNFgjkFyTIa15e3yOR0q/5QG/h+XSi9Pf3q5Kl8hrLP9cKA4vFfL4Vi5Q1Hq08ZP41OZbHd7QSyuN1rpTX+qpVq9TXUop5b/L3I6WapTzmSBoaGoZ9bRMRERHRyBisIyIiIqKiK8x+Ga9gUD7rQibuh8tSKSR9pPJGy5CSXj+jyWfpyAT4aJPghdk8e8usO/roo0f9fn5yd/exS+BRJlrFYYcdpvpe7c8xkMy7/KSw9PmSzEDpVyQ91GQifSLJ5Hw+qCV9mCTDY7RbYdDjQCaE5XGXvmIS5Hj//ffxq1/9SmWUSeZkYZaJZDdKgEz6fu2Lwgwh6cc2mr19f/dxj6Zwwnyk52EwGMR///d/qyCRBH3l9ST3K5lX+Zv0vdo9Q3a8SVZj3t6y4eT5mc8KlcfooosuUn255HldmDU6kcZ67pg3b96owdp9OXfs7blW+JofjgSV8lmTErDJZ9gWk/Rzk6C3LCCQoKz0MpPMsPxzTbJd84r5fCuW8XhNCnktFi4OKda5Mt9LNr+QYG/3I/1Nh7uf3RUG3KU3IhERERHt3fB1EoiIiIiIxlFhYGv3Uo77SzITxlIyT7S2tu7x70aaIB1NfpJ9rD8n0un0qD+7t7KghX9f4eS1ZKXk2jMd+DGQzDEpjSZlQiUAIiXO8mXOZHxSHk0yvqQ0ZDFJ1t94BHv2l2QyHnHEEeqWt23bNvzwhz9UJQ6FZKVIycBvf/vbY75fOaZ5EqQYzb6UiT3Q56EEaM4888xRM2TG+xiPpLCE395Kml522WXYuXMn/u3f/k2N6bHHHlM3IRlsJ510ksoSkoyjkUoDjrdSnDuGU/ja3pfzgpxL5Jyyt+fngZBysnKuGatiPt+KZbwe370FrMfrXFmsc27hgobhyrASERER0Z4YrCMiIiKiopOMCZk0l0wAyX6RDA5O4JUPycqT3lb//M//rDLqpJ+SZFxIFqQEV6Xnndwkg+nee+8tWt+6wqyof/mXf1FBmbHKl0Ycb5K1KZl28nz92c9+ppUL3ZdgXTmSYy2lG/OBOgluyU166knARh7jfGBBMm6k11UxFZYgHS2gXhj4kXE9+OCDePHFF/HWW2+p56o8ZyUTUG6SMfjkk09i5syZRR077Z30VswH6qZNm6YevxNOOEFl8rpcLpXhKySbV7LtRH4xQi3aW1nL8TpXFt6PnOf2ZUHGaK+rwtfw7uWFiYiIiGh4DNYRERERUdFJtsuRRx6Jt99+W624l147heXO9oeUE5P+Wrt27drrzxb+TGEZsnIgAQaZvB7L2AszFCXzQsqSyYT2eB0DKdEn2Upyk6wP6X/19NNP4ze/+Y3KwHj00UfVxPCPf/xjFENTU9OQyWopj1cuvvGNb2jBunXr1u3Tvy0sCSfHcdGiRSP+7Hhlnu7Nyy+/rJVRlcDjj370ozFlBhbLjBkz9vn3yevhpptuUjexYcMGvPDCC6ok5vLly1UPNOnb9uGHHw4bCMlkMqPefyWW7yt8be/LeUHOJXvL5joQ+cxUj8ejyu2OlPU3Ec+1ajBe58rC+5FFG+N1zi18HAtf20REREQ0MvasIyIiIqIJIT3A8v7v//7vgO9PelUJyQySUoWjkaybvEMOOQTl5J133hn1+zKxPdzYJRNlwYIF6msJqu2tj9q+HgOZAJZykP/xH/+hxiD9rcQf/vAH7KvCvm+jkd57+Wyu1157bZ9/TzG1tbVpX4/Wc2y056qQnnij2dv3x4sEs/KuvPLKEX9OAlpS+rPYCoMEa9eu3a/7mDNnDr7+9a+r8eZ7sUlvr93vTzK5xhIYkjKhlabwuVb4mh+OnDM+/vhj9bUEkIuZ7Zx/vp166qmjlucs7KFWSmM9Z5XKeJ0rP/OZz2hfj+c5N78QIJ9ZT0RERER7x2AdEREREU2Iq6++Wk2mCymzuC/ZWYlEQpVRKyR91PIk82sk8Xgcv/vd79TXFosFJ598MsrJbbfdNuL3pERZfuwykX7KKacMewwkA2i0MoXS6+7hhx/WeqLlAxljJZkR8+fPV193d3djX0nGRv6x2FsGWv7xefXVV4seuNqXMnuFY8mX6RsredzyvdPkcRotoyv/eBdbYfm70TLIpMzkRGT7SbnRyZMn7xGg3h8SyC58rez+nJ01a5aWIen3+0e8H+nhWGkOP/xwre+cvOYL+1wO9/flH/vC82kxn2+jPdfkZ0Y7l0+ksZ6zSmW8zpWycCN/PpMSyHtb+DJWkkWff98qDAgSERER0cgYrCMiIiKiCSHBCpn4z0+C/v3f/70qtxiLxUb9dzIRecwxx+wR1PrSl76k9cKRwJ8EAIfzrW99C1u2bFFfS4+rwlKS5eBPf/oTfvvb3w77vX/913/VMhSkJ5EE2nYvzZjPhvnHf/xHrFy5co/7kP6AcqyCwaDa/uY3v6kFjvI9oqTn12jk+K1evXq/AlUiH4SRMoV7Kz0omXz58p4XX3zxkAyN4cjk8u233479cdJJJ6l/G4lERv05CVbJsc6T0or7Qh63/L+RDKPvf//7IwZPpNfaRMgHX8VIx+/TTz8d8ncXWz5gJM+1QCAw4s9Jf8XRgihyTnnllVfU1/Jcygfn8iS7K//aGGnRgASNpARspZHXdv4xk2Mor335O3cn54p/+qd/0oKbxX6c88+3N954Y9jMSTkvyBikdGk5yJ+zpGytz+dDORqPc6X8++9973tapuX555+PnTt3jno/8vq8//77R/2ZfMBdeuA5HI4x/kVEREREtY0964iIiIhoQkt3PfbYY7j00ktVRosELe644w4ViDrhhBNUeTSZbJYJUilf99RTT2ll0SSwUsjtduOWW27BJZdcojLvzjzzTNx44434/Oc/r3ovSWBI+iRJsE9Mnz4d//M//1N2j/ZRRx2lxv3mm2/iiiuuUMdg69atKjiZD9xIX6HhSodKEOK//uu/VM+x/v5+HH300fibv/kbnH766apspUzI/+QnP8Enn3yifl7KWv7DP/zDkPtob2/HGWecoe7rvPPOw9KlS9WxkqCqZOVImU4JXOSDqhLs21cyYfvSSy+p+/vqV7+qAgjSWytfak569uXLbMrz4Ac/+IEKJMhxkOeMZGVKICff20/uR/4m6X0oj6/83V/+8pf3eVySWXX99dergO4555yD4447TpUDlLHJBLiUWJXScPIczU/YS+nRv/3bv93n3yVBIRmvlF787ne/q0qXynGQv0mCgRLIliCUBKbzWSnFLMUnrxcJSMjEvEzg9/b24pprrlEZbjLG5557TgWRZQySGbN737dikICDHGsJ3EgA+aKLLhr256699lr83d/9Hc4991wcf/zxqtei9EKTc4oEEuS8kC/vuGzZMi3wUlj2UwIU8jySc5Ccb+ScJPchgWkp9frII4+o5+Lrr7+OSiPnAznPynNMziHSL/Sv//qvValRCcjIAgE5L4RCIfXzP/zhD4veV+y6665TrzMJjMu5XM5DMi6r1arOU3KOkewwOVeUQwlcGYe8LuS5KK9TGbucm/OvydbWVvV8KaXxOlfK60Ge59LrUZ4zcg6Ux0uC2vLakYxHOUfJa0qeTxKIk38j79vDkffufEbnvi5sICIiIqppWSIiIiKiCbZ27drs2WefLTUIx3Q7+uijs6+//vqw93XnnXdmbTbbqP/+oIMOym7ZsmXYf79582bt57773e+OOu6TTjpJ/dz06dNH/bnf/e532n2+8sore3z/mmuu0b7f3t6enT9//ohjb21tzX7yySej/r4f/OAHWaPROOoxOPnkk7O9vb17/FsZ31geA71en/3Hf/zHbCaT2eM+5HjIz8jxGU5nZ6f6O0a67+GO0R133JF1uVxjGts555yT3R9HHnnkmJ+DcvvsZz+r/pbhFD6mI/nggw+yTU1NI97/woULs1u3btW2v/a1rx3Q83Vvz8PXXntt1GPsdruzTz311F7/trH87WORSqWybW1t6n7OP//8EX9urI/XWWedlfX7/cPex/PPPz/qeeNzn/tcdvXq1aMe68LXjhzr0eztNZInvyd/n/JY76+enp7siSeeOOrxkXPGj370oxHvY1+ea2N5bJctWzbqeMZyzMcypvz35Xm5vyKRSHbx4sUjjrXw8d6X58HeHt+xvseM97lSzuvyPmKxWMZ0PzfddNOI4/nWt76lfkZeX/39/WP+O4iIiIhqHTPriIiIiGjCSSbMs88+q1bgSwaIlLCUjBbJ7pFMBsmMk7JpkmUk2TbSh2kkUtrytNNOwy9/+Uu88MIL2Lx5s+qLJNlR8u9kZb9kGxSWfiwnksn0wQcf4Gc/+5nqMSVlKSWTYebMmbjwwgtVBlG+3OdIJLNCMoh+9atfqQw2yZaTbEPJyJNMOcmCGClLKZ89JNk2kjEh/1ayKCRLScqXScadZJlIBtpBBx20X3+j9NCSv/F///d/1fjyj9FoPeMke0r+fslukcdVyuNJxle+X5P0P5QskbPPPnuPrMuxkqxNyeqRMUk226pVq1SpOCkZajAYVOaMlP2UYygZnMceeywOhGSoSak6yZJ84okn1HGQEoTyO+T+/+qv/mpIWdhiZ+7IYy9ZN5JxKpk3kkkomU7ynJTjKuORDJ18v8Nik2Muv1NKusr5QbJzhitbK4/T888/j7feektlR0pmnPysHMspU6aojC15zsvfMFpmoZx/fvSjH6nHX57zkq0rz3F57l111VUqW6lSyflPzquPPvqoyhSU57r07pNjJI+pnDOl7OTcuXMn7LF96KGHVKlX6csoWVqSZSfnKOmhKedoydTKlywuNckslmxnyYiV56Jkast5YW9lfEthPM6VkjEo7yOSRXjrrbeq14SUK5X7kcdOXofyniznQMlolXPicOS967777tujVDURERER7Z1OInZj+DkiIiIiIhonMol55513qq95OU6FpFTdySefrL6WkpAyEV9LJEgsAWIJEkh5xu985zulHhIRjZEE9mWBjfRSlYUJu/eLJCIiIqKR6Uf5HhEREREREU0gyTzKkx56tUayCSWzTkgGomQzEVH5k6zD//iP/1BfS29SBuqIiIiI9g2DdURERERERBNASumNlkkpZQKlRKA4/vjjVbnYWvTNb35TlWeU0pY/+clPSj0cIhoDKbcqZYWlBOv3vvc9HjMiIiKifVSejTuIiIiIiIiqzL/+67+qXl3Sn+6oo45Ca2ur6vG0ceNGPPLII6q/mATzpISc9DCsVRaLBffeey+eeeYZuFyuUg+HiMYgnU7ju9/9rsoIloAdEREREe0bBuuIiIiIiIgmyNq1a/Gf//mfI37f7XarDJXDDz+8ph+TI488Ut2IqDJcc801pR4CERERUUVjsI6IiIiIiGgCSNbJIYccgpdeeglbtmxRZR7D4TC8Xi8WLFiAM888EzfeeCOzUoiIiIiIiGqMLjta0wQiIiIiIiIiIiIiIiIiKhp98e6aiIiIiIiIiIiIiIiIiEbDYB0RERERERERERERERFRiTBYR0RERERERERERERERFQiDNYRERERERERERERERERlQiDdUREREREREREREREREQlwmBdhfurf/qBuhEREREREREREREREVHlMZZ6AHRgtu3chUwmw8NIRAQgGAyq4+ByuXg8iIh4XiQiGoLXikREPC8SEY12rVjKOUVm1hERERERERERERERERGVCIN1RERERERERERERERERCXCYB0RERERERERERERERFRiTBYR0RERERERERERERERFQiDNYRERERERERERERERERlQiDdUREREREREREREREREQlwmAdERERERERERERERERUYkYS/WLiYiIiIiIiIiIiCZaKtqNhH8DUrFepOUW7wd0OugNNuiMVhgsdTB75sDsngW9wcIHiIiIio7BOiIiIiIiIiIiIqpqEpCL9nyMeO9ypKKdw/9MwdfRzncAnQFm1wzYWo6GpW4hdDrdhI2XiIhqC4N1REREREREREREVJXScR/CO/+MaPeHQDazb/84m0YisFHdjPbJcE45DWbvfAbtiIho3DFYR0RERERERERERFUlk4ohvOMlRDrfVUG33RntrTA5p8JgbYDBUq8CcPJvMqkwkqHtSPjXI5uOaT+fiuyEb93dMLlmwjP7Yhgsngn+i4iIqJoxWEdERERERERERERVI+HfBP+mR5BJ+Ibs11vqYG86ApaGJTBaG0e9j2w2jWRwGyK73kC8f7W2PxncjN4Vv4B71jJY6xYW7W8gIqLawmAdERERERERERERVbxsJonQtj8isuutIfv1JjccbafA1nQ4dPqxTYfqpF+de4a6JcM7ENr2IhL+dbnfk4rCv+4eJFqOgWv62epniYiIDgSDdURERERERERERFTR0gk/fOvuQSq8c3CnTg/H5JPhmHwidHrTft+3ydEG7/wvItbzFwS2PAVkkmp/tPNtZBIBeOZcMuYgIBER0XD0w+4lIiIiIiIiIiIiqgDJ0Db0rfj1kECdwdaM+sVfg3PKaQcUqMuTnna2ps+gYcnXYbRP0vbH+1fCt+5eldVHRES0vxisIyIiIiIiIiIioooU7fkEfatuQyYZ0vbZWo5Cw5KbVEbceDPamlQQ0Oydp+2T8pj9a+5EJh0f999HRES1gcE6IiIiIiIiIiIiqjiRzncR2PigNJHL7dDp4Zp5PtwzzhuXbLqRyH17514JS91ibV8yuBn+9fchm00X7fcSEVH1YrCOiIiIiIiIiIiIKkp45+sIbnlS29YZ7ahbcB3szUsn5PdLjzrP3EthbTxM25fwr0dwyzPIZrMTMgYiIqoe7HxKRERERERVSybL0vE+JEPbkQrvQCYVkb3qP53BpHrOGO2TYXK0FnUFPhEREY3fe3t4x0sI73hF26c3e1SgzmhrnNDDrNMZ4J51EbLphOpdJ6Jd76px2CcdO6FjISKiysZgHRERERERVZ1UtFuVxor1foKsCtDtjR5m7xzYmo6ExTsfOr1hAkZJRERE+0qCdIWBOoOlHnULr4PBUleSg6nT6eGZ/QX0rfYjFd6u9gW3PqvGY6lbWJIxERFR5WGwjoiIiIiIqkbcvxGRna8iEdi4j/8yg4RvnbrpTU7YmpfC3no89AZLkUZKRERE+yrc8YbKqssz2JpRt+BaGMzukh5MncEM77yr0Lfyt8gkfCqL37/xYTQc9I2SBRGJiKiyMFhHREREREQVL50IItT+LGK9nw77fYO1ESbnFLX6PkeHTCqMVHgnkpEOIJPUfjaTDCG842VEu96Hc9pZsDYcrFbNExERUelIxnyo/Tlt22BtQv3C66E3OcriYTGYXaib/0X0rbwZ2Uwc2XQM/g0Pom7R9apcJhER0WgYrCMiIiIiooruWxPtfh+h9hfUpFgho60FtpajVLBNb7SNch8ZJAObEen+APG+lUA2rfZnkkEENj6EaOe7cM9aNuF9cIiIiChHFuMEtzy1R+nLcgnU5RntLXDNPB+BjQ+q7WSoHeHtL8M59YxSD42IiMocg3VERERERFSRspkkApufQKznoyH7jY4pcE07CybXDOh0ur3ej2TNmT2z1S2TjCCy6w2EO94Esiltoq1vxa/gmnkBbI2HFO3vISIioj0l/JtUSUkpLSn0Zk+uR12JS1+ORK4VEv712vVJeOeruesM96xSD42IiMoYa7kQEREREVHFSScC6Ft125BAnc5ghWvGeahffAPM7pljCtTtTm+ywzn1s2g8+Fuw1C3W9mczCbVKPrDpMRUkJCIiouJLRnbBt/4eLetdZ7TnetSVeR8414zPw2BtGNjKwr/hIWRS0RKPioiIyhmDdUREREREVFGS4Q70rfg1UuHt2j7Joms4+Fuwtxw1Lv3lDNZ6eOddAc/cK1QQMC/a/QH6V9+hMvCIiIioeNJxH3xr7kQ2Hc/t0JvgnXc1jLamsj/seoMFnjmXykoitZ1JBhDa9kKph0VERGWMwToiIiIiIqqoQF3/mttVP7k8W/NS1C0oTjksa/1iNCz5OoyOtsExSFnMVbeoSUQiIiIaf5l0HL51d6sgV45OBb/MrmkVc7hNjjY4207VtqNd7yMR2FLSMRERUflisI5KKpOKIRneiWRoO5KhbeqWTob4qBARERHRCIG6O5DVykjpVdlL98zzodPnVq4Xg2TZ1S/6KmzNR2r70rFu9K38rSrPRUREROMnm80gsPFhpAreY6WspLVuYcUdZnvrCTDaWrTtwGaW0yYiouEZR9hPVBTS3yPWuwKJwCYkw9uRjnZrDYIL6U1OGG2TYHJNg7Xh4IoocUBERERExSNBsVygLl9+Ug/PnEtgbThoQg67Tm+Ea8b50JtcCO94We2T7L7+1behbuH1MNknTcg4iIiIql14+0uI96/Stu2TjlNlriuRLCZyz7oQfStvVvNf6VgPwjtfhXPK6aUeGhERlRkG62hCSImgSOe7qsfH4ATLyDLJEBLJDUgENqjJEKNjMqwNh8LWfISq+01EREREtSOd8MO35ve7BeounrBAXZ5Op4NzymnQm10Ibn5STbpJlp9v9R2oW/QVLjAjIiI6QNGeTxDe+Wdt2+yZB+e0syr6uJqcU2FrORrRzrfVdnjna7DWHwyjvbnUQyMiojLCMphU9Ey6YPvz6Pn4x4h0vDZ8oE5vgs5oh87ogM5gHfZ+UuGdCLU/i56P/09d1GTTCT5yRERERLXSs2bt3QU96nQDgbqDSzYme/NS1TdHxqLGmAqjf/XtSMV6SzYmIiKiSictUgKbHtW2DdYm9X6r01X+9KVz6hnQm725jWwawfZnkM3uWWmKiIhqFzPrqGik1GVg0+NIx3ebtNCb1Cpos2sWTM4pMFgbhlx4Sc86qUueCm1HrG/5kBrlEuwLbXsBkY434Jh6BmxNn6mKizYiIiIiGqFnzYYHkYp0aPukR10pA3V5cj2bzaQQ2PSIyrDLlcS8A/WLvwqD2VPq4REREVVeFv26e2TiR23rjDZ4518NvXH4Rd2VRqpEuaZ/Dv7196rthH8DEr61sNQtKPXQiIioTDBYR0WZVAm1v4DIrjeG7JcVRPZJx6gAm95oG/HfG0xOGDxzYPHMgaPtZKQinYj2fIRo57vIZhLa6uXg5scR6/kE7lkXwGht5CNJREREVGXkmjLuW7Nbz5qlKBe2psOQzabUdanIJHwqC1BKYrJ0OxER0dirMvnW3TuYRa/TwzvnChitDVV1CC11C2F2z1KL20Ww/VmYPXNUX1wiIiKmJNG4kvKU/vX37Rao08HeegIaD/4WHK3HjxqoG47R3gLXtLPQeOjfq/uRzLy8ZHAzej/9BcI7X1dBQiIiIiKqDrHe5UOuKc3eBWXZs8befKRaKZ8nWYD+Dfcjm02XdFxERESVQEpBSunLVHiHts81/VyYPbNQbVTvW3XNkCujnY71ItL5TqmHRUREZYLBOho3mWRIlf6J96/S9hltLahf/DUVbNMZzAd0/3qTIxe0O+RvYalbPPiNbAqhbc8P9DIJH9DvICIiIqLSk95vgU2PadtG+yR45lxStuXP7ZOOVVl/eQnfOgS3PM1eNERERHsR2fkqYr2fatu25qNgbzmqao+byT4JtuYjte3wjlc4l0VEREp5ftqlipNOBNC38hYkw9u0fWbvfNQtvkH1pRtPBrMb3nlXwDP3CuhNTm1/wr8OvSt+hURw67j+PiIiIiKa2FJYUqkhm4mrbZ3ekrvuM1jK+mGQrL/CBWXRrvcQ2fVWScdERERUzmJ9KxHa/idtW0pEFmarVyvnlNOhM+R68WXTMYS2v1TqIRERURlgsI4OWCYVhW/tnUjHe7V9tual8M67sqiTKtb6xWg4+K9VzW9tLAk/+lfdhkjne0X7vURERERUPMGtz6lSknnuWRdWRM8ayfrzzP4CTI6p2r5Q+/NI+DeWdFxERETlKBnuQGDjw9q2wVIPz9zLodMbUO2kcpSj7RRtO9r9PlKxvpKOiYiISo/BOhqHJsD3IBXZpe1zTDkdrhnnQacr/gWW9L/zzL0SzmnnqAbEORkEtzyB4NZn2MeOiIiIqILE+lYh2vWutm1rOQrWhoNQKaTsu3f+VdCbPQN7MvBtuB/peH+JR0ZERFRebVRkLimbSahtncEC7/yroTfaUSvsLUdDb/bmNrIZhJldR0RU8xiso/2Wzabh3/AAksEt2j576wlwtp2imuZOFPldjtbjULfwK9CbXNp+KTuk+tilYhM2FiIiIiLa/4m7wObHtW2jfTJcsiCrwkiZdqkwAZ1RbWdTEfjW3YtsOjchSUREVMuymRR86/6ATMI3sEcHz5xLYbQ1o5bo9EY4p5ymbcd6P0Eq0lnSMRERUWkxWEf7LbTtRcT7V2vb1qbD4Zx6ZsmOqNk1DfVLblQTO4V97PpX364mf4iIiIioPGWzWQQ2P4lsKpzboTepiTuZyKpEJkcb3DMv0LalrGdgyxPq7yQiIqrp9/stTyAZ2qrtc047GxbvfNQia+OhMFibBrayQ/r3ERFR7WGwjvZLvH8NIh2vadtm7wI1ITGRGXXDMZg9qF/0FVjqFmn7UpGd6Ft1K8sPEREREZUpWU0e71+pbbumngmjrRGVzNZ0GOyTjtW2Yz0fI9bzUUnHREREVEpSASnW/Rdt29r0mSHvlbVG+t06p56hbcuC+ESwvaRjIiKi0mGwjvaZ9NzwFzYBtjbBM+eSCelRN9ZeIdKUuPCCLx3rUQG7VLSrpGMjIiIioqHSCT+CW57Stk3uWapXXTVwTjsLJtd0bTuw5UmkIrweJSKi2hP3rUWo/TltW94f3TPOK/mi71KTxeZGR5u2HWZ2HRFRzWKwjva9tvj6+5BNRweeQSZ4514BvcFSfquTpp0Dx5TTtX2ZhF8F7JKhbSUdGxERERHtVv4ynesxrNNb4Jl1kbqWqwaymM0z+1LojPbcjkwSvg1yLc3+dUREVDuSkV3wr39AlXoUerNXzSVVarnr8STBSufUz2rbicAmJAJbSjomIiIqjer4FEwTJrTtj0iFd2jbUvrSaG8u3wuetlPgmnGealgssqkI+lffgbh/Y6mHR0RERFTz4n0rkPCt0Y6Da/o5MFjqquq4GCweeGYt07bT0S4Etz5T0jERERFNlHQiAN/au5DNxNW2Tm+Gd/7V0JucfBAGmN2zYXLN0I5HeMcrPDZERDWIS1iKaOXajXj7g4+xYvV6LF+zAV3dvWr/8lcfQyWSutlSXzzP1nwkbI2HotzZW46C3mjLle7MppHNJOBbe6cq3WmtX1Lq4RERERHVpEwqiuDWp4dMVEnvmmpkqVsAe+vxiHS8obaj3R/kyn02HlLqoRERERVNJh1XgTqpdJSjg2fOpTDZJ/Go77bY3NF2Cnxrfqe2E4ENag7O7JrG40REVEOYWVdEN9/1IH52yz146fV3tUBdpcpmkghselQrWWCwNsI1/XOoFNaGg+Gdd7Uq26lk0/Cvvx/R7g9LPTQiIiKimhTa9gIyyVBuQ2eEa+b5Vd23xjnlDJgcU7Xt4ObHkYr1lHRMRERExZLNZuDf8ABSkQ5tn2v6uWoBC42QXeccDM4xu46IqPYwWFdEhyyejxu+eDF+8YN/xiuP3gGzeSBQVIFCO15BOtY9sKWDW3qJ5ANfFcLinYu6BddBZ7AN7MmqAGRhtiARERERFZ/0Yol2va9tO6ecCqO1oaoPvfTl8cy9FDqDVW1LtQdZPCaL4oiIiKpNcOuzSPjWatv2ScfBPunoko6pErLr8hL+dUiGtpd0TERENLEYrCuiL19xEb7x5Stw8nFHorGhcntvJMM7ENn5urZtn3QMzK7pqERSQqB+0VeG1EaXniESjMxmc1mDRERERFQ82UwKgc2Pa9tGWwvsk46viUMu/fhk0VueZBsE258r6ZiIiIjGmyyKjna+rW1b6hbCOe0sHui9MHvmwuho07ZlroqIiGoHg3U0qmw2PVD+MqO2DZZ6VcKnkhntLahb9FXozV5tX3j7i6oUEwN2RERERMUV2fX2bhUbLoROb6iZw26tXwxby2BmQbTzXcT6VpV0TEREROMl1r9aZdXlSfDJM/sS6HScghxLdp2z7VRtO+Fbg2R4sIwoERFVN75T0qiiXR8gFdmlbbtnXgidwVzxR03KLEmGnfTey4t0vI7glidVXXUiIiIiGn/puB/hHS9r27bmI2FyDvZxqxWuaWfBaG/VtgObH0U64S/pmIiIiA5UMrRN9amTtiNCFkl7511dFfNIE8XsnT/kGiHS8UZJx0NERBOHwToaUSYVQWj7i9q2tfEwmD2zquaIGSxeFbAz2idp+6Jd7yGw8WFkM+mSjo2IiIioGknJR+nVJnRGO5xTK7tiw/6S3s+eOZcBAz2gs6lo7hqUi8aIiKhCpSKd6F9zJzDQi1VnsKBu/hdhMLtKPbSKy66zt56gbcf6PkU67ivpmIiIaGIYJ+j30AG64JpvDru/fUcHJrc0IRgMjvsxTuz6E7KpSG5Db4au7rii/J5SM029DJn2h5CJ7lDbsd5PkExEYG47Hzo9XyJElSQSGThnERFR2Z0X06EtiPct17ZNTSchHJUFUtV3fTk2FphbTkeiI9ezLhHYhP4tL8HUOFgik4iq95xIVE0yCR/iW+5BNh0d2KOHue1CRNN2oArnkYota54BncmNbDIgzX7ha/8zzJNOK8rv4nmRiGjoOdHlKt0iE2bW0bAysW6k+v6ibZsaj4XO5KzKo6UzWGGZfin0junavnRwPeLbHtZWfhMRERHRgfVBloVgeXprKwzeg2v+kMoxMLjma8ch2fUa0lH2piEiosqRTYUQb39A/T9HB/OU82BwzijxyCqX9Pcz1i/VtlO+T5BNx0o6JiIiKj6mDVWIx+/8+YgZd5lMZlwjvtlsFr7tD2k1xg2WetRNP6Xqs8yyrmtVbfV4/2q1nQlvQWr7w/DO/yL0Rluph0dE+6CUq2CIiMpRqc+LkV1vIZvoHdjSwTv7Apic7pKOqVxk5l2M3uW/QEb1rMsg1fE03Eu+Dr3BUuqhEVWtUp8TiapFOhlC/6oHkE30a/tcM8+HvfnIko6rGmTtx6G7901VKhuZBAzhVXC0nVS038fzIhFR6TGzjvaQ8K9DIrBR23ZOP6fqA3WDvUMuh7XhEG1fMtSO/lW3Ih2XyRMiIiIi2leZpPRBfknbtjV9BibnFB7IAbIozDP7YhXEFOlYL4Jbn+HxISKispaRQN3q25GOdWv7nFPPZKBunOgMZtibj9K2I51vITvQD5CIiKoTg3U0hDS1D20bLFFkds+GxbugZo6STm+Ae/YXYCtYBZaKdqJv5W+RjOwq6diIiIiIKlFox0ta6Sad3gLn1DNKPaSyY3bPhGPy4Gr5WPeHiPUO9vcjIiIqJ5lkGH0SqIt2afscbafCMfnEko6r2tgnHQPojFpwNNrzcamHRERERcRgHQ0R71uJVGSwT4Zz2pnQ6XKrfGupNrhrxvmwtw5eZGaSAfSvvAVx/4aSjo2IiIiokqQinYh2vqdtO9pOgb5K+yAfKJnkNDmmatuBzY8jHfeVdExERES7k8pDfVKBaEig7hQ4p5zGgzXO5JrJ1nSYth3peEMtsiciourEYB1pstk0Qttf1LYt9UtgcrTV5BGSAKVr2plwzThPK0mUzcThW3MnIrveVn39iIiIaPxlMymkol2I9a1EpPNdRLreR7T7L4j2fIJkeIf6PlUGuV4Ktj+r+rDl+yCrFeI0coWHORdDpzfnjl86Bv/GhzgpR0REZSMV60HfqluGlL50TD4ZjjYG6orF3np8QansHsT71xTtdxERUWlVfyOyEnrt7Q9w810PadvJZG5y6cobv6Ptu+GLF+PEY45AOYh1f6Te+HN0XBUlF0UtR8Fg9sC34X5Jr1OTTcGtTyMZ6YB7xnk10cuPiIio2AEdWZkd61uBeP8qFajDaCuGdXoYbc0wu2fB2ngojPbJNVcFoKL6IBdUJXBOO5vXTnthtDaoxWKBTQ+r7WRwC8I7X4Wz7ZTiPlhERER7kQzvhG/N75FJhYeWvmw7lddiRWS0NsJStwjx/pVadp21fhGfr0REVYiRhiLq8wXw6ap1e+wv3Cc/Uw6kSW1ox8vatrXpMDURRoClbgHqF30FvrX3qHKY+T4i6Wg3PHMug8Hi4WEiIiLa52uPFKLdH6qM9cLV2WP4h0hFdqlbZNdbMFibYGs6HLaWo6A3WPg4lIlsJo3gVsmqyzG5Z8FSt7CkY6oUEoSWQGes91O1Hd7+suojbXZNK/XQiIioRsV9a+Ff/4CqOJTnmv452CcdW9Jx1QrH5BO0YF0ytBWJ4FaYXdNLPSwiIhpnDNYV0QVnn6pulSDa9T4yCX9uQ2eAs60yxj1RpBxo/ZKb4F//ByRD7Wqf/L93xS/gnrUMVk4+ERERjXmBULTrQ4Q7Xhu89tiDHgZrPQxmr/wLVQYwm44iFe2W2oBDflICfaFtLyDc8Tock09SWfE6vYmPRolFu94dUrHBNe0crrrfl3LsM85HIrQNmXi/quwQ2Pgg6pd8A3qjtXgPGhER0TAVEKKdbw8swMm3A9HDPeuiIb3UqLhMzqkwuWaojHsR6XidwToioirEYB2ple3hna9rR8LWvBQGSx2PzG4MZhfqFn4ZwS1PIdr9gdqXTUXhX3cPEi3HqB53nBwkIiIaWSKwCYFNjyMd793zotTRBmv9Epi981S5n+FKTat+drEeNVER6/lUrSzWvpeKINT+HCIdb6qV3taGJXwoSiSTjCC0/SVt29Z8BEyOVj4e+0CCcp7ZF6N/1a1qcjQd71fXoJ45F/M4EhHRhJDrruDWZxDtek/bJ31VPXMuVRWIaGI5Wk+AbyBYJ33rZBGb0dbEh4GIqIowWEeI9vxFK+8oWXWSXk/Dk4lD18wLYHJNR2DLkwN97KBWmiX86+GeeSHM7hk8fERERAUyqRhC255XmfxD31gNsDV9BvbW41WvrrG8D5vsk9TN3nI0UrE+tYAmuuttZDOJ3O9KBuDfcB9i/QfDPf3z0JvsfCwmWGjHS8imYwOPmQXOKafzMdgPUt7K0XYKwgOl6mO9H8PsnQtb46E8nkREVFSySMS3/n6kwtu1fXqzF975V6vrMJp4sqDNYGtWvZ5lIY/0rnPPupAPBRFRFWGwrsZls2lEdr6mbcuEmcHMHmx7K00kvXGkDIF/w/2qZ46QUk/9q29VmYnOqWdWbJkieU6k435k4j6kE/1IJ/zIpuJq0i2TztWn1+kNaoJVegPpzR4YzG514W60t7BfEBERDZEMbYdv/X3IJHwFe3Xq/dIx+UQYLFLqcv8YrfVwTf0sHJOORXjnq4h0vquVyYz3forewCZVpsninc9HZYKkIp2Idg6uwJdgk97k5PHfT462k5Hwb9SySIObn4TJOU0994mIiIoh1r8agY0PawtvhMkxFZ55V6qKQ1QaOp0ejtbjEdj0qNqO9nwM59TPQm9y8CEhIqoSDNbVOCkhJSumcuSNn1l1YyXlBuoXfw2hbX9CZNdbWv12KRER61uh+v7Zmo8ctoxXOfUNSoY7kAxtQyrSoSbYUrJKK5vaz3vUwWBrUj3+zO5ZsHjncYKOiKiGRbs+QGDLU0PeV4z2SSoT3eScMm6/R4JBUvrS1nI0ApseQTKYC2xkkiH41t6tMrvsk09iz7QJ6GsTbJeeNhm1bbDUwz7pmGL/2qqm0xlU6cve5b9Uk6bZTFz1r6tb9BX1PSIiovEii3ND7VIJYXDRjZB5DbnOYtuP0rM2HILQtj+qa1y5vo50vavmnoiIqDqUbxSBii6bzahV6HnWxkNg4CrdfSIXq67p58DacBACmx5DKtqZO7apCIJbn1ZBPMeU01UPHpWNVmKZVFT1+UkEtiAR3JzLChzIQBgfWVWSQW6xno9U8E4mYy11i2FtOgwGrqwnIqrZHidqUdCUU+BoPbFoC1mklGbdwuvV+68spskFCbMIbf8TkpFd8My6CDqDuSi/m4CEfx0S/g3aoXBOO7usFy1VCukl7Z55PvwbHlDbssgqvOMVlhclIqJxk/Bvgn/zo8hoi7lz/elcM89n+eUyItdVtpajEB7oDRztfLeo19ZERDSxeDavYfG+lUjHuge2dHBMPqnEI6pcUhKzfslNCHe8nguADvSyS8f71Orn0LYXYG85BrbmI6A32iZsXLLaKhHcikRgM5IqONepZQCOTqeyFGRySMpc6o126KTkpcEq30I2k1YToBL8SycCyCT8SMd6tX5Bg7JqQkluoe1/hMW7UK3KM3vmMLuBiKhKZdMJ+Nb/QfVyzdMbHfDMvRxm98wJKxFk8cyFb9096r1YxPuWoy/WA++CL3HxSBHItUFwq2TV5Zgkw75uYTF+VU2yNhyMuG/dwGIoILzjz6qKgdyIiIgOZM4guO2PiHV/OGS/VELwzLkURlszD26ZsTcfhfCOV3NzMskQYr2fqlYtRERU+Risq+EyRYVZdZb6JaqsI+0/WcnkbDtF9f0L73gZ0a4PtTJQEswKbXseoe0vqr45kokn/x/P1f2SKSklLJPBdiRD7er/6Xjv3v+h3gSTYzJMjinqglz6zskF+b6WuJDfLwG7ZHiHyt6TCSX5uwd/IIN4/0p1M9pbVQ8WS90iNalKlUceb3l8U9HuXAkOnUG9BuRmtLUcUA8qIqpcmVQEvrV3qUUaeUbHFHjnXgGDZWJ74sr7Wf2SG+Fffz8SgY1qn5R87l91C+oWXKsWpND4iXa9q/r35uhy5bJ0Oh7iceSa8XlV4jUXgM6qTLv6g/6KwWciItqvRTaRzncQ3vESsgO96XP0cLSdBMfkk5mtVaakR52t8VBEuz9Q25GON2BtPIzXXUREVYDBuhqVDGxSE1Z5zKobPwazG+6ZF8A+6Ti16jnW96kKVCnZlBawgs6oMvLMrmkwuaarAJne7N5r/xEJtGZTYdVrUIJzqs9cZBeS4e27XWQPT2d0wOyaAbN7xsDvnTQuJTol6CYBX7nJhaOMU8Ylf2u0+y9DAnfy3POvvw8GWzOcU85QK+85oVf+0rE+xOT527cKSTl/DGSQDkcyMk3OaapvoQSn2d+AqPqlE370r/m9KoWcZ6k/CJ7Zy0p2DpDMcO+Ca1T/lVx/WTmX9aJv1a0qYMeFSuMjk4wgNFCOSUglAZN90jjdO+XpDRaV5dC36hZVxlwWywQ2PKiyRbn4iYiIxrroUjKxwttf3mNxryy6dM9epnrQU3mT+aZ8sE7asSQCm2DxzC71sIiI6AAxWFejwh1vaF9LSUKTo7Wk46lGMgHomXMxnIkzEe18B5Gu91UvO002pUpTyk2j08NgrlOTizCYtMlNKSkmJSazA2Uncz14xkZvcsHknpkL0LlmwmBrmpDAmPwOeV7JzdF2KhK+dYh0vYeEb632MzKh619/L8zu2WoFvmRBUPmtuJQPc5HOt5EK7xjzv5PgrJSck1uw/TnYm5eq2voSzCai6iPvTf2rbh8y6WNrXqoygUodRJBFMPIeI+WdQ9v+qJ2jJOBRt+A6XgONg5BalR/LHW+Dhb3Uikh6Abumna16IwvJGs31rzutmL+WiIiq4XNd3wr1njHYDiVHZ7Cq925by9K9Lh6m8mC0N8PsmauVnY/seoPBOiKiKsBgXQ2STKyEf522bW89oaTjqXYSnHBO/WwuYBXYiFjvcsT7V2uTWkNIKcl479jKVw5Lr0pZmiRbzzlNZe3pzd6SZ63JRK2lboG6JcM7VQnWeN8K7ftyXHqX/xL2SUerTLvxLA9K+yebSaqMSOnDWNhkfLgMOlXyMptBNpPrY5hJ+IbeVyqC8M4/q/uSciqOyWyATVRNJLunf/UdQ967HG2nwNF2WsnffwpJFQGZjApueUqVEJRzU/+a36F+4fVqwoP2TzKyC9HO9waPc9spKjBKxWNrORoJKTk+cC0lE69SLcHimcPDTkREQ8jns2jX+6rk5ZA2FYpOZcPLZ3AprUiVxd56vBask8XR0qKCVSOIiCobg3U1KLzrTe1rCexIVhMVn/Tykj51cpOghgStpO+I9HeTPm+ZZHAf78+ssuSkVIVkpJnsrTA6p6gSSeVM+uN5516uJvdCW59DIrBh4DsZVaJMApnumRfCzBIOJSP9BmUyO9cTZyiDtQnWhiXqeSxlTId7vkmGjfSrkg8M0d5PBstlZtOqJ4JMLrpnXajKwBJR5feok4BX4QpttUBl8kkoR/aWo1TALrDxYfW+I2Wl+9fcgbpFX4HR2lDq4VUcKXkd3PqM1qPXYKmHveWYUg+r6kkQXK6V+sI7h/Sva1hyE3sxEhGRen+WeYZo94cqm27P9gU6WBsOVguKjbZGHrEKJXN5Mh8kZTBFZNebqiULERFVLgbraoxMosd6Pta27ZOOL6tV77UUuJOsN7kBJ2ilLtNxH9KJfmRSMXVBLaUv5UJaymFKtpmUllKZTGaPmmys5MdOetlIj5W4b40K2uUzMqQXn0yc2pqPhGvaOcyym0Dy/AtufTbXU7GQTg9rw6Gwtx43ph5Ekk1qqF8Ma/1iOKediWjXh+qDQz4gLR8m+lbeDMeUU+GYfEpFP4+JalkmHVc96qQ/aZ5M+pRroC7P1niI+n9g40MqyCHnpv7Vt6N+0VcY6NhH8n4hfZDzpNyoXONQ8emNVnjmXq7eT6U8umSK+tb/AfWLvso+sURENVxFKda3HLGeT4ZdeKk+19UfrK7VWFWg8snnaPukYxHY/JjajvZ8zCxJIqIKx0/TNUZ6p0l2i9Cb3LA2HFTqIdEACcbJBXMtXTTLxaW1biEsnrmqhFN452va6nwp1ZEIbIZnzqUqG4+KSy7sg5ufRDYTL9irV2VRpGylwVK3X/cr/Rcdk09QwdfQthcQ7cqXSssivP0lpGN9avUfJ3eJKq/viX/9/UN6WdpbT1TBukqgAnaZpDa5IWWhVEnMRTewDNQ+lEsObn1O2zZ75sHsnV+cB4yGJddH8h4a2CSZokAqvBOBzU/CPesiLoQhIqoB2WwGydB21Rc+1r9K9YQfjs5oG+ghfjR7iFcZa+MhqidzJhVW17aRrvfgbDul1MMiIqL9xGBdDZHMrUhBTxFZgcMJcioH8jx0Tj0DlvrFCGx6RMvSSMd60Lfyt3BNOwu2lmM48VQEksUpJS9jvYMZt0J6Hrpmnj+mTLqxZgC4Z56vyq0ENj2qrfSM9XykMvq8865QgT0iqozSSoEtTwzpfyuTP1L+spIyZWUxgpSlDm59auA9pxe+tXejbuF1zOoeg/DO1wd7lOr0cE0/p6Ie/2phazoMyfD23II89b76F5icbbC3HF3qoRERUZE+v0mfsrhvrWpfICW9h6eD2TMHtqbPqN7xUq2Hqo88rraWoxDe8bLalusBR+sJnOsjIqpQDNbVEOkdlU1HtX5nMklFVG4rxOsX34TQ9hcR6XhdZV9JJqj0w0kE2+GRleIGc6mHWTWkV6J//X2q9GielFd1TTsb1qbDodPpx/13mt0zUb/kRvjW/QHJ4ObcOIKb0bfqVtQvvJ4ZLUQVQCYDYt0fatuWusW58ocVGKixTzoamXQU4e0vqu1keBt8G+6Hd96V0OkMpR5e2ZJFFuEOyYYfXABmtDWVdEy1TN63U+EOJENb1XZwyzMwWpvY/5eIqEqkoj2qfYQE6KQXHbK5ajTDMTraVAUla/1BMFi8EzpOKl1PZlWlKJtCJhlCrHe5WsxDRESVh8G6GloFn19xK6yNh0FvtJVySETD0ukNcE07U00wST8hudgU8b7l6It1wzv3Shis9Tx641D2MrDpMXVBn2dyTodnzsVF79kkGXR1C76kys/le2hKyZb+tXeibuGXoTdYivr7iWj/Rbs/0lbuCpMrd94oRnB/ojgmn4xMIoho17tqW0pJSVlgl5TorcAA5EQItj+vSi0Jvcmp+o9SaSsUqP51K3410B82A9/6+1C/+Gsw2hr50BARVWh5y3j/KnWT7P+R6dX1mKVuPix1i2C0NkzgSKkcyLWYlMPML6aL7HoD1sZDeR1LRFSBGKyrEbLSNl9aULA0DpU7i2cOGg76K/g3PIhEYKPaJ8/h3pW/hmfO5bB4Zpd6iBUpm00j1P4CIrveLNirg6PtFDjaTp6wTBKZWHTP+oLqnRkZyM6Q3le+dfegbv4XWaaFqAwlglu1Hm/CYG2Cd95VFf96lYCca8a5anFIvH+l2hft/gAGa6PquUlDST9ZWUCT55x6pip1TKVlMLvU67Fv9W0qkCrVNHzr7lYBOy7QIyKqjH7AieAWxPtWqgBdbvHF8HRGOyzeebB458PsmcvzPMEx6TgtWCfzJsnAZpg9s3hkiIgqDIN1NSKyazCrzuyeBaO9uaTjIRrrCjHvgmsQav+jWh0msqkofGt+D+e0s3J9F5n1sE/9Dfwb7lc9DgqbjXvmXKaCoxNNHjvpcZXNJBHtfFvtSwY2wb/hAZUhwBJ0ROVDyuX61t2rShMLndGBugXXVE2vSckMlAzB/tUhrZRgaNsLMFgbYK1fVOrhldWCj+DWp7Vto2OKWrlN5cHknALPrGXqvT7f+1fKXXvVIhh+7CMiKscKSHLdEe3+iwrQyWfdkRjtk3LBOe98mJxTK7qqAY0/o71FBW7zn/XDu95gsI6IqALxU1sNSCcC2kpxYWs5pqTjIdoXErBxTT8bRkdrQdnGDELtzyIV6YB75vkVn9UxUf2FfGvvQiraOeQDX6nLiqqMlunnqA+msd5cScx4/2qEtr2oyqESUell0nGV9ZpNhXM7dAZ4511R9JK5E03eS6RXXd/K3yId71N9U/0bH4TB8lXVU5WAaNcHQyo1uGecy8nCMiN9ilLRboR3vKS2pTqBXD+5Z3+BC5yIiMpEJhlW76nRng9HKXGpg8k9E9a6RbDULWT/Odor+6TjtGCdlHWX6wH2FCYiqiwM1tWAaNf7WgNivdmrapkTVRpb46HqQlMyOzIJv9oX6/kIqWiXKvtkMLtLPcSylZTykmvvHlJKxVK/RK2+1xnMKDVZFeqedREy6RgSvjVqn5TGlAwBa/3iUg+PCLW+4juw6dGhAZqZF8DsmoFqpDc54J1/NfpW3oxsOqbKCcr5s37JjTX/PpNJRhDa/qch/Y9lZT+VHyltnY51I9b7qdqWxTB6s5uLYIiISiwZ2YXIrrcQ6/lkSO9wjc4As2eO+gxk8S5Q1yVEYyXPHYOtWfWDF/Jck8XNRERUOZg3X+WymRSiXe9p2/aWpSwtRxXL5GhDw5KbYCqYJJY+Z5IFkQx3lHRs5SruW4/+VbcNCdTZW0+EZ86lZRGoy9PpDfDMuUT1wMoLbHwEqWhPScdFVOukv2W8b4W2bW89Abamw1HNjLZmVR44f5mcSQZU769sOoFaJmVB8+W5dHqLKmNM5Umy1t2zlsHkHuxVI4tgIrtyJaeJiGhiJUPb0b/mTvQt/0Wur9iQQJ0OZvdsuGdfjKbD/1n177Y1fYaBOtqv939pFZIX7flILbYiIqLKwWBdlYv1rUQmGcpt6IywNR1R6iERHXAfu7oF18LWvFTbJ5l2/atuQbw/l5VFOdHuj+BbdxeymfwEsx6umReolfXl2ONAb7CoEnQyCSyymTh86+9VJfiIaOIlApsRan9hyGrdWgnQWLxz4ZpxrradCu+Ef+PDyA5UKqg1ieAWRLs/0LYdU06p+UzDcic96qTUtZS8zgtufQbRnlzJaSIiKr5keCf6196FvpW/QcK/bo/PtY62U9F46N+jbuF1qpKM3mjlw0IHRJ5H0ltakd7wUmmLiIgqRvnN1tK4ina+M6SHBcsoULVMQEk5B9d0mUjVqX0SkJKeSlLqQcq21TL5+8M7X0Ng08NaCVyd3gzv/C/C3nwkypmUOnXPXqZtSwkPmVwkoomVTvjhX3+f6hGaL6PtmX1JWQb6i8XectSQPr/S/ze8/UXUYpWGwOYntG2jrQX2lsFV21S+ZNLXO/8a9frNyaqs9VhBtiwRERWnJ530C+1b8WvVO6yQ0T5ZZdE1HvoPcE45jb3oaNx7MEtFrbxI59vqWo6IiCqDsZImnx9/9iU89/IbWLdpKwLBENLpkVc363TAxy8/glrvU5UMtWvb9kmDE05E1UCe0wZrPfzr7x/IHsuqwI40UpaMCJ3OgFojWR/Brc8i2jlY6kpvdMC74BpVRrQSSI+GZOsJiHS8rralVEyubwP7bRJNBPlAL+fVTCqc26EzwDv38ppc8OOafjbSsR4k/OvVdnjnq6pcr63pMNSKSMebWu8TWSAjGdpSupgqg/T0rVvwJfStuhVZ9ZrOwL/hAejmGmGpW1Dq4RERVd1nMVkwHdr+Uq73bQGjo00F58yeeapcIVGx2FqOVot3kU2rdhiySEcy7oiIqPxVxPLoSCSKL33zX/Ef//cbvPPhp+jr9yOVSqsA3si3Uo+69CKd72pfm5xTK2ainmhfSACnbvENBavGofo0+tbehUxq6Aekmphg3/DgkECdwVKvjk+lvf6dU86A0TFZ25aVqZkU6+0TTYRg+/NDFvu4ZnweJueUmjz4suhD+tcZbM3avsDmx1RZyFqQivUhtONlbdvWfCTMrmklHRPtX9a6lFjTGW25HdkMfOv/gPhu2R5ERLT/ZMGotGaQxaOFgTpZ5OOddxXqF9+oPrsyUEfFZjA5YS0IzkU63qj56kNERJWiIjLrfv37B/DR8tUw6PU454wTceyRh6Gh3guDoSJijSUhTWRjPZ8MWVlDVK1M9kmoX/w1VQYzFd6u9iX8G9C36mbUzbtaZd9VOwlMyt+fDG4esnpTGpRLP4RKI1kbnllfQO+KX2krAoNbnoZnziWlHhpRVYv2fDIk4G9tOrzm+91KKUE5l/au+E0uMymbhm/dvWhYfGNVv7/I4rfg5seBbK50kryX1ErPwmq9VpKev/2rb0dWesEOPI/lfdVav6TUwyMiquhsusiuNxHa9qL2nil0BqvKpLM1H8WMdJpw9knHqgo1IhXpUPMEZvcsPhJERGWuIoJ1f/zzW2r10Xf+6su47MKzSz2cihCVN+X85IrRwQ/hVPUMZhfqF10P/8aHER/oxSJlu3pX/latZKzmTIB0vF81Lh8sUwaYPXPhkbJ1BgsqldHeojLsQtueV9ux3k9gqV/E8xlRkaQinSprbPA12Ar3jPO4AlxlKdfBO+9KFeiQIEc2FUH/urtRv+gGFcyrRtGu95EIbNS2ndPOgT6fmUUVSbLspYedb83vc+XDs+lcKfFZy2qqtCsR0XhJJ0MIbHhwyPulsDYcAtf0z9VkCXEqn0U6ZvccJAIbtLLmDNYREZW/ikhNk7KXkkW37NzTSz2UylnZ1fXukJJFOn1FxGWJDriZsmfOpXBMPlnbJ1kQMrka6/20Ko9uMrQdfSt/OyRQZ208DN55V1d0oC7P3nocTM7BQGtwy1M1V96UaMKyc9ffK6n5altnsME79wp1XqUcs2s63DMv1A6HnHel91c2m67KRSCh9ue0bYt3AawNB5d0TDR+z2NVEtOQD7xmEdj0CCK73uEhJiLaB4nAZvQt/8WQQJ1koXvmXqmylhmoo1Kztx6rfS2lr1OxnpKOh4iIqiRY19hQB6vFApOJE0ZjIW/CmXj/wJYetpalRX18iMqJTqeHc+oZcM/6gsw253ZmpZfbAwhtf7mqarXH+lahb/VtyCRD2j4JVLpnLauaUivyeLpnLwN0uQUH8reGd7xU6mERVRU5LwY2PYx0rHdgjw6eORdXdYnH/SXZR/bJJ2nbCf86hNpz2b/V9Xx4LJd5NRC4dc08nxmWVUR6Wdctul5V38jJIrj1KQTbn1OL/oiIaPT3yfDO19WC0MLPYZb6JWg4+Fuw1i/i4aOyINV2pGdiThaRXW+VeERERFQVwbrjjjwU4UgUm7bmelHR6KKd72lfS8k4g9nDQ0Y1OaEqvVl0BSW7JMgT2PgQsgOZI5VMLrT96/+gZcFAglqzLlKBymprWm60NsLRNjg5Htn1NpLhjpKOiaiaRDpeR7x/tbbtaDsFFu/8ko6pnDmnnA5L3eIh5+NIwbVXtZW/dM04Fwazu6RjoiL1sFv0FegLPidEOt7IZYtWwXUSEVExZDMpVTI8V6Z/YBGozgDX9HPhmXMZ9EY7DzyV1cJXqVSTF+3+CzKpSEnHREREVRCsu/6qZfC4nPjhz29DMjXYsJeGL1uU8K/Xtu3NR/EwUc0yu2eifvGNMFgbtX3S96x/9R1IJwKoRLLiPbDlaQS3PqN9QNQZLPDO/xJsTZ9BtXK0ngCDpWFgK6vKYXL1P9GBi/s3IrTtj9q22TNPBeto9IkPz+wvwGifrO2TrKSEf2i/mkqUinYj2P7sbuUvDynpmKh4jLYm1C++AUb7JG2f9P3tX3U70gk/Dz0RUQEJcvSv+T1i3R9q+/SWOtQv+irsk46pugWTVB1sjYdClw8iZ5JqURYREZWvigjWtbY04dc/+le0b+/ApV/5ezzx/MvYsLkdHZ3do95qUbTrA20C32BtgMk9s9RDIiopo7UB9Yu/BpN7lrYvGWpH34pfqT4DlSSTisK37h5EO9/W9unNXtQvugEWz2xUM+mbJdkdecnQVsR6Pi7pmIgqXTruU1k0+esGmXCS8pcSjKLR6QxmeOddBb3JlduRzcC3/g9IRTorOltAPR/yfQuNLH9ZC6QCR92ir6pSWXnJ8Db0La+86yQiomJeM/WtvBnJ4OB50eSajobFN8LknMIDT2X9OdrectSQKjVyzUdEROUp1wSoAsyY1oaTjj0S9z32LP79R7/a68/LoqaPX34EtSSbSSPaLcG6HFvzkVzdRSQT0EYb6uZfo7Kx8q8R6S8gGXbOaZ+FfdLxZf9aSUZ2wb/uXqTjfdo+o6MN3nlXw2AemCyuchbvPFV6Lt6/Um0H25+HpW4R9EZrqYdGVJmBmfX3I5sK53bojPDOvZzlm/aBweJRAbu+Vbeq3qjZdAz9a+9UmUqVWII8tO0FpCKDJYbdMy9i+csaoZcM/XlXqwzR/Ir7TCo8cJ10FuyTji376yQiomJmnfev+R0yBRnH1oZD4Z51IXT6iplSoxpmaz4K4Z2vAdk0MskgYn0rVMYdERGVn4pYOt3vC+Dqr/8j7n/8Oa2h795umcxA/fAaEvetGWxwrDPA1nh4qYdEVDbkg5Rr5gVwzTxfvT5yMgi1Pw/f2juRTgRRrqI9H6Nv5W+HBOosdQtRv/D6mgnU5bmmnwPoTeprCTJEOl4r9ZCIKlJw67MqeybPPePzMDnaSjqmSiSr6T1zLpF3GbUtE3m+tXchk4qhksT716jee3m2lqNgrV9U0jHRxNLpDXCr66QLdrtOeha+dXcPfsYgIqohyfBOtSinMFDnaDsV7tlfYKCOKobMGRSWNY90vKnmTYmIqPxUxDKg3/z+AWzcsh1WqwXXXHIejlt6GBrqPDAY8h8kSUS73tMOhLV+MfQmBw8MUQFZFW5vXgqTfTJ86+9DJuFT+6XPY+/yX8Az6yJY6haUzTGTyV7JBoz1FpZ71MEx5TQ4Jp9Uk6XqDBav6l8X3vGy2g53vKlWCkqGCxGNTbT7I0S73tW2bU1HwNZ8BA/ffpJrrsz0zyG49Wm1nZJM6PX3wjv/moqYyJN+x/5Ng9UojLYWuKadXdIxUenYm4+EyT5p4DopNzmd8K1V10nuWctUljsRUS1IhrarjDrJnM9zzfg87C1Hl3RcRPtDsuRjPX9RX6ciO5EMboGZbXOIiMpO+c8gAHj17ffVJPv/+/Y3cNapx5V6OGUpFetDwr9B27Y1Ly3peIjKPROiYclN8G96FAnfGi1LS1aOWxsPV5OUetNAE+YSkT4x/o0PawHFfP8gz+xLYfEO9pWpRfbW49XiBLXKP5tCaMeL8MxaVuphEVWEZLgDgS1PaNtGx+Qh/SBp/9gnHYN0wo9Ix+tqOxHYBP+G++GZc7nKWCpXmXRc9ULNpiK5HXoTPHMvU/1NqHaZnFMHrpMeQcK3Tu2T91ypRCDBfadcJ7EENRFVsWR4x26BOj3cs5exdCBVLJOjFWb3bCQCG9V2ZNebDNYREZWhikjL6Ov3w2Q04oyTuIJpJPn+EsJgbYLJNWOCHh2iyiSZp9JryDXjPK2sopDVZj2f/kRlnpSiNEQmGUFg8+PoX337kECdyTkNDUu+XvOBOvXYGSwqu1B7zLo/Uj39iGjv5xfJ+EImqS0A8M69goGZceKc+tkhJYbi/asR2PQIstlMWT41ZVyBjY+oTMA894zzYbQ1l3RcVB70Jie8874I1/RzVU/LPOn92/vpTxHrX13S8RERFXNh05BAnc4Az7wrGKijimdvPW5ICfRUrLek4yEiogoN1jU11sNoNFRk2ctYPI5f3v4HnHvlTfjMGZfg1Iuuw7/98Bfo7B6/N0UJKMS6P9S2bc1Hsgk80VjLYrYcpVaPS3aJ9ppKRRDY9DD6V9+KRHDrhE2aRrs+yAUKVfB9IFCo08M55QzULfoKDJa6CRlLJbA1fUYtTMjJqt6DRDSybDatMr2k5GGOTmXq8rwyfqQ0sZQJNHsHyynHej9BcPMTZdkXJLzjz4j3r9S27ZOOh63psJKOicrwOmnSMbnrJHurtj+TDMK/7h741t1bcE4hIqp8qUgn+tfcgWwqmtuh08Mz5zJY6xaWemhEB8zsmQuDtXFgKzukXzEREZWHigjWnXzskYjG4li5ZrDMYyWIxxP48l//O26+6yFEojGcctxSTGpuxOPPvYxLrv9bbNs5TpkgmQQyqXDua52REy1E+0iyCOoXfw3OaecMybJLBreif9Ut6F97t2ouXqwgXaz3U9ULJrD5scFSZANZsvWLboCj7eSa7E83Gp3OANe0M7Vt6TsY9+dKehDRnkLb/qiVvclngdV6Sd1ikJKX3rmXqTJDhZlIwS1PlFWGXbTnY4R3vDRk8sZZcE4lKmS0t6B+8Y1wTvnskCy7eP8q9HzyU4S2v4zsQMYuEVGlksUHKqNO+zwmgbpLYa1fVOKREY0PmVOwTxrMrot2f4hMcmAukYiIyoIuW45LfXfjDwSx7Lq/QUO9F7f++HtwuxyoBD+/7V7cevfDOGTxfNzyf9+F3W5T++984An8369/jyMOXYzf/ez7B/Q7Lrjmm0jF+nH7305T29aGQ+GZc/G4jJ+oVj+kBbY8hYRv7R7fk/Ky0lDcUrfogHsQZVIRxHqXq9Vs6VjPkO/p9GY4ppwKe8sx0OkrorVoScjbl5QLTQY3a6VCjVMvV5kALper1MMjKhvRnk8Q2Pigtm2pP0hNPslrhYrYC27N75EMtWv7pESm9LuRxQYTKRgMqv/nz4uxvpXwr79fRqm2ZYW1LFjRG3PXqUSjSUW71eIiWdBUSG/2wDnldFgbD+UCIypru58Tdyf9RxP+jap/dCbhRyYdQzaVK4co2egGa706b1o8c2CwNfO9tEpIwKJv1S0Fn8t08My5BNaGg0s8MqLxlU0n0P3x/2pBacfkk5H15loO8TM0ERHUtWIpz4cVEaz74JOV6NjVjR/+4nZYzCYsO/cMHLRwrhb8GskRhyxGqSSTSZx0wZcQDEXw4K0/xsJ5s4Z8X4KP6zZuwf23/B8Wzx9cfb1fwbpoF27/u9x9SKk8M/vVER2whH+TykRJhrft8T2d0QFL3XxYvAvVB3WdwTym+0wnAkgGtyDWuwJx3xq5Ut79nmFpOAiuqWfBYPHwURzL4zSQ/ZhnmXYJDM5Z/KBBNECygmXyKd+nzmiTDJmvjfm8Rfsvk4rCt/auIQE7S91CVU5rIhdiFE5Mx33r4Vt3t/b+ozc6ULfoqzDa8iWRiMZYgr/nY4S2PY9MMjTkexK8kPLd8lznggCqlGCdLLCQcvSSCZ2Odo35vqQKhrVhiQpSG7XSclSJwYu+1bcjFd6u7XPNPB/25qUlHRdRMUuhh7b/SX2tM1hhnSOfDaz8DE1EhNIH6yoiZeO6b/2b9mEvFAZuufvhvf4b+fGPX34EpfLR8jUqUDe1bdIegTpxxknHqGDdq2+9f0DBut0/HJuc08flvohqndkzC3XuG1SJp/DOPyNVUAYzmwoj1v0XdZPyKAZrgyoRZbQ1qYtcnd6kJmIley6TCKogXSq8A+l43wi/TadWbcqqNqO9ecL+xmpgdk1X5dukDKZIdr0OvWNmqYdFVDarxKWnVD5QpzPY4Jl3FQN1E0Qy1bwLvqR6eyUCm9S+eP9qVWLLO/cK6E0TWylCSgX71t+rBerk/cq74FoG6mifyecy6W8oAbnwjlcQ6Xxbe15JoMO//l6V7S7lds1uvidTeS+qiOx6G5HOtwZ7lO2DdKxbvQZk4lsCdo62U2C0NhRlrFS8nr6+DfcNCdQ5ppzGQB1VNVvL0Qh3vI6sZA6nY0j1fwRT4zGlHhYRUVkodfuKigjWiX1NACx1vuDajVvU/xfO3TNQJxYNBPAkYDde7M1HcgUr0ThPRlnrF6uyl/IBLrLrHcT6lu+WEZdRH9TlFt/H+5eMBmvjIbA1L1WBPto/zimnoW8gWJeJdSAd2gC4D+fhJNT65JN/w/3IJHwDe3TwzL0MRmt9iUdWW/QGC7zzvwjf+vuRkIxq1Q91C3pX/gbeeVfBZJ80IeNI+ZYj0vH8YKBOb0bdgi/B5GidkN9P1UlvtMI1/WzYJx2N0PYXEev5RM4+6nuSUdq/+jaYPfPgnHo6TI62Ug+XaIhY3woENj+pFuHtTspdmj1zYLS3qoUXsthFzp+y8C4V61PPb1mIN0iyTT9SrwFb0+GqB6jeaOcRr4A5puCWZ5DwrdP22VqOgmPyKSUdF9FEvH9Lew9ZlCySve/DWH8EDzwREYBMaDPgPrRkx6IignWf/vlRVJqOzm71/5am4VfW5ffvHPi5A6Yzwtp42PjcFxENfXnpdDA5p8IzZypcqXMR961TZSzlg52sRNsXerMXZvcMWOsPUhlhB9r7jqRX3VSYvfO1PoPJ7teRbT2MixeopoXaX9CyuYRMHErZXpp4km0tmXTS50smc0Um3o/+lTfDPWuZKqFWzInIZPcb6qaR8cy/Wp07icaDBDY8sy+GvfUEVUK8sO9vwr8Off51KgvP0XYaA8RUctl0FImOPyESWDVkvyxisLUszS2iG0N2nPS5loBftOt9pGO9A3szqpRm3LcW7pkXwFK3oEh/BY0H6R0e7XpX27bULYZr+rn8DEE1wT7pWIR3vZmrwJGOINX/MeA5tdTDIiIquZTvY2Ayg3VVJxLNTeBbrZZhv2+zWnM/F4mOuTfdcNp3dGByvQEG9wKEoymprLrfYyaiMbLMgqFlFqzNZyGb6EMm1o1MvBtZyWDJJpHNpNT/ZRWuzujM3cx10NunQG9yq7tIyC2ca+pMB05fdwwwMDmYjXXBt/NDGN3zeWipJsmH7YR8+B5gcC9C2nGI1qeHSkPX9FmYDF4kO2UVcxbZTAL+Dfch1L0Y5klnqLKU40lKuiV2vYB0IJfRpxjssEz7AuK6JsT5fKBx54Bx8oXQebch2fkqMtHBsnJSAlZuBtd8mJqOh97KigI08dLRDsTbHwbSBdl0OiNMjUfDWP8Z6SuBqFSOTo7l/dIIOA+F2XEw0v6VSHa/iWwyl82eSQZVf1CD9yCYW06HzjD8nACVTiq4Doltz2rbemsr9C1nISR9V4hqhNF7KFJ976uvkz3vIFB32IT2VSYiKjeZZBDp4IaSjoFn4SphrCtdxJeoVul0eugsjdBbpKH8wlIPp6bpbZNgcM1DOpgrY5PseUtt5/udEtWKdGgzEh0vaNs6azPMk8/ma6FcsrQbjoLe3Ij4jiclvU7tl0neWHgrzK1nQe+cPS6PVSq4Homdzw+ZkNaZ62GZdonK8CYqJoN9KvQzrkQmtBEJyXaPdWrfSwfXqpssIjA1HQe9hf29aAKDM9uflJUM2j69rQ3myZ+D3lJ/QJ8HjN6DYPAsQqr3AyS7Xxvs4ehbjli0A5apy6A3143L30EHLhPrRGL7U9q2zuSGZdoylQlPVEuMDUuR6v9L7pyVDiPl+xSmeraTIKLalfZ9qpX1LxUG64rEbsutjo7Fhu9iFY3lMu/sdtuY7u/xO38+YsZdKtYLT/MCTsQRUU2zTv8s+lbkgnUyMWjJdMDiZXYd1Y5UpBN9Ox7XLi71JhfqF3wJBoun1EOjQq5DkaqbgsCmh5EMbVO7sqkQ4tsehsk1A84pp8Psnrnfz4HQjleQkP6qBfT2aWhYeDV7KNHEch+GbOuhiPevQnj7S0hFC4J2gVVIB1bD2ngoHG2njKnsINH+iux6G5FtzxRMvujhnPZZ2Ccdp4Jt48Z9OlItB8O/6WGtp1023oP45rvgnXs5zJ7Z4/e7aL9kkmH0bnhMVUERkvUo10pGewuPKNUgF3RNn0G06z21le59G3VTj2Xgugiy2QxSkV3q2j8d9yGTDCCTCCKbTUGnM0FnkJsVRmsTjPZmGG0t0FvqOM9LNMGv054NEqwrrYoI1v3m9w/s17+78UuXolRaW3KlXTq78/Xrh8rvnzzwcwdCldhj9ggR1TiTo1VlpchKfhHe8WeYPcyuo9qQTgTRv+5uZNPxIX3JGKgrT0ZbI+oWfRWRjjcQ2v6iloWRDG5B/+rbYHLNhK3pMNXnS2+0j3pf2WwayWC7ui/ppzqElHdrPhHG+iMYqKOSkM8o1vrF6rkc71uJ0PaXkI7le3ZnVR/HWM8nsDYdBmfbaTxn0bgLbX8Z4R0vDe7QW2CZciEcrQcV5WjLJGv94hvUcz2y81WtT17/mt/DNePzsLcsLcrvpb3LZtLwrb8PGWldoOjgmXMZA3VU0xyTT0a0+0N1LSrl36QPp/SzowOXSUUQ612uyoDLtXp2oKrGWEk1DFl8LP1Pze5ZLFFKVGQJ3zpkEn6UWsUE6/YlGJXNZtXPlzJYN3/2DPX/1es3Dfv9Vety++cN/NyBYLkGIqIcU+OxiA8E65KhdjXxvb8ZKkSVIpOKwbf2TmTi/QN7dPDMvgQmR1uJR0ajkWwOx+QT1Yfw4NZnkAjkzl0iGdysbtDpYXbNgtE+CQZrPQwWr5pszKZjyKTCSAa3IhHYNBikLWB0TIFn9hcQTY1vLzyi/X2+WxsOgqV+sZq4Cu94GelYz8B3M4h1f4hY76dwTDoW9tYToTfyeUsHLtzxxpBAnd7sgXnKMuitzUU9vDqdAa6pn1WZEYFNjw6U3swguOUJdf6Wcz9NvODWp3PvrQOc086ExTuPDwXVNFnYJ211Un0fqu3wzldhazoCOoO51EOrSDIfnfBvUEFPtYhuYEHe/pCFBdGud9VNZ7Spx8XechQMFpZVJioGed2Wg4oI1n3mkEXQYeRgXSgcwaat25FIJuF2OTBv1oEHwA7UYQctgMtpx7Ydu7Bm/WYsmDt0svhPr76t/n/SsUeWaIRERNXHYG9T5d4ykfbB7DoG66iKZTNJ+Nbdg1SkQ9vnnHY2rPWLSjouGjspvVW38DokAptVlp0sMtBkM0gENqjbmO/P1gL75JNUYESVdwsG+XBQ2ZDnpK3xEFgblqiMuvCOV5CO9+W+mUmqScJI1/twTj0jN1k4niUKqaZEut5DqP05bdtgbVLn2kh84voZy3NdSrz61t2rSp6J0LYXcgG7KWewOs4EinZ9oJX6E9aGQ2GfdPxEDoGobJkajkGq/xO1sCCTDKnzp6OVr499DdJJcE6ua/JlkPcgPU7tk9W1v8Hkgt7shk5vVp/n5CbHXkqGp6JdBYswB+4/FUWk43VVSUMy7Rxtp8LkmHwgDzsRFUjH/Yj71qIcVESw7nc/+/5efyYSieJ39z+OW+95GCcdewSuufR8lJLJZMJlF56DW+9+GP/101tw8/99V+tjd+cDT2Ddxi044tDFWDyfdeuJiMY9u649F6yTCe5kaDtMzik8yFSVNdX9Gx4askrc3no8HK3HlXRctH9kYUHdwutVtlys9xPV50s+tI+JzgCza4YqW2T2zucEMJU9yTyyNR0Oa8MhqvyWZD/ln+/ZVATBzU+o1a2u6Z+H2TWt1MOlChPt+QTBzU9q25KFULfwWhjMbiA+sQsY5Bq0fvFX0b/6d0jHc60wJCidSSfgmv45nq8nQDK8A4EtT2nbRkcb3LMu4LEnGqAzOWGsOwypvlxWSXjna7A1Hwm9wcJjNAay4E6qZBQunszTGx2wNh4Ci3cBTM6pY85YTCdDSPSvUQHAuH+DWtCUk1VlNeVmaThY9bpm31+iAxft/kDrbawzeVBKFRGsGwu73YavX3c5Uqk0fnLzXVg0bzaOPGxJScd0w9UX490PP8XHK9bg3CtvwuEHL0JHZzc+XbUO9V43/t93vlHS8RERVSO9YzpMjqlIhrep7fDOP8M776pSD4to3AN1gc2PI96/UttnbTwUzqln8khXMCnjbnbPULfsjM+rwJ3cUvE+pGN9qoa+lD/XGa0DTegbYfbMUYE6liuiSqTTG1QPL5nIktXi4Y7XtQmpVHgn+lfdrDLsnNPOgt5oK/VwqQIkgu0IbHpEm3DRm9yoW3AdDObSTbyoYOGi6+Fb83uVNSGinW+roLU8t9l/vngyyQh86/4wUIpUWrk64J17JVuJEO3G1Hg0Ur6P1XtwNhVGZNdbcLadwuO0l57hofbnEev9eI/vmT3zYJ90tLpOl3P9vjKYnLA1H6FumVRU9fiNdL6DdCy36EPEez9FvG8F7C3HwjnlNH4WINpP0gNe9e4cIKWBS0mXlVzdKuLzB3DSBdfiuKWH4dc/+tdSDwexeBy33fMInn3pdezq6oHH5VJj+8aXL8ek5sYDvv8LrvkmMpkMnrz7l+MyXiKiShYcKPdmSm2Hf909A3t1aDj4r2G0Hfg5l6gcyKVbcMuTQ8o5yQdCCUrLxDfRcOdFl8vFA0NlL53wI9T+gsouLaQ3ueCacR5L/NLoz5+4H30rf61laeqMdtQv+iqMtqayOCdK4Kh/7e+HlEiTUmYyyUrFWdjkW3sXEv71A3t0qFtwLcweVjciKpQ/L6L/LUQ6Xsu9WvQWNB76t9CbnDxYe5xbsqrXbrD92T36RlvqFsIx+eSiVPaRc1rCtxahbX/SFn7k6c1euGeep3phE9G+ifevgW/d3bkNKdk/9ya461pRKlWTWZfn9bhVr7gVq/MXZKVltVjwjS9foW5ERDQx5CJVepOkY91qZXVk15twzyxteWSicQvUbX1mSKDO5JoO79zLGagjooon2U+eOZeo8lvBrU8jFdml9meSQfjX34tY/UHq/ZxZdrS7bDoB3/p7BssH6wwqg6owUFdqepNdBYv6V9+ulUsL73hZZUM4Wk8o9fCqjvSOGgzUAc6pn2WgjmgUjsknItr9vuqPls3EEdr+sgoA0aBMMozA5sdUGcpCRnurWlRUzNLd0sdXgoFS8j7W+6nqdZ3vbZdJ+NTiBCkv7prxeV4nEe0D6dOZZ/EuhM5Y2kUKVdexOxyJIhiKIBqLlXooRERUInIhW9gUO9r9F3VhTVTpgbpQ+7OqdFaeyTkN3vnXsOwJEVVdD8f6xTepyXXoBteXxvuWo3f5L1R/GKLC90eZPJXSqXkyWSklhcuNBJolYCeLyvKkjFph+SU6cHHfWhWsy5MJbjsDokR7PT85Jg+WvpTesamoLH6l3HllPXqX/3xIoE7K0sv7Tf2Smyasx67MddgaD0Xjwd+CY/JJKhMoTyoT9C7/JRKBLXzQiMYgHe9HwrdO27a1LEWpVV2w7s4HnlAX622tLaUeChERlZD0v9HKdmRTqsY7UWX3qHtM9Y/IMzraVKCOzd+JqBpJWV+ZhGo46BsqgzhPejdKZlJw2x9VjwkiyTaXLIM8W8vRsDcfWbYHRm9yoG7hdTBY6rV9qg+tf2NJx1UtpMerf8NDWt9Cg7UB7llfYG9AojGwtxxVcG7KILTtjzV/3ORzWGj7S/CtvXMwe1stLJqDhoO/CXvL0SqANtGkj7Usaqpf8nWYnFO1/ZJl17/6NlUuk9dJRKOLdL0/5HrB7J6FUquIMpgffLJy1O8nEknVD+5Pr76Nt97/WF2EnX0ay0gQEdUyuXiVyZrw9hfVtgTrpLSH7CeqJNlMCv6ND6kG4nlG+2S1Ml9vtJZ0bERExSZlDOsWXo9IxxsIbf+TnBRzJa53vopksB3euZexp04NS0U6Edz6rLZtcs2Ea9o5KHcGs1sF7PpW/jY3+ZvNqFKv9YtugNHOhcf7K5tJwrf+PmTT0dwOvQmeuVfweolojHR6owoA+Tfcr7bj/auQCG6B2VV+mcoTIZOKwr/xwSGZN5Lx75p2ppprKEWQbncm+yTULfoqIjtfQ2jHS9p1Unjnn5EItcMz51IY2HuQaNh5lljXB9q2rXlpWbymKyJYd923/m1Mq6Ako04sPWwJrr3sggkYGRERlTN781EI73xVissjm4og2vMR7M2lT2snGqtMKgb/hvuQ8G/Q9plcM+CddzUnnoiotspbTz5R9Zvyb3gQ6ViP2p8Mbkbv8l/BO++KIavKqYb61MmEcjaltnVGh+p5KFmZlcBgqVPv532rb8tdq6bj6F97F+oX36CCebTvAlueQioyWA7VPfMCNZFNRGNnqV8Co2MKUuHtalv6ZdcvvrEsJrEnUiraBd/au5GO92n7DJYGeOSao8zOK+o6qe3kgeukh5CO96r9ycAm9C3/pVq0MFFlOokqRbx/FTKpgXY5OiNsjYejHFTMmVYCcSPd9DodvG4njjr8YHzvH27CLT/+D5jNzJwgIqp1epMdtqbBN9xIx5uqjAVRpdRP71t185BAndkzD3VS+pIZdURUg0yONjQs+TqsDYdo+zLJAPpW3ar601JtCbY/i3S0S9v2zF5WcUEuk3OKynoAdFr5MpkczqTjpR5axYl2fYBYQe8/yXqRvk5EtG8kWcI17WxtW/qBSv+6WhL3b0DfypuHBOos3gWqN125BeoKycKl+oO+DkvDwdq+TDKI/tW3DpT7I6K8SOd72tfWhoPU/GE5qIjMuk///Giph0BERBXKPuk4RNWbcFatxJeG89a6haUeFtGoEsF2+Nbdg2x+pZd8QGw4GJ5Zy1R5GiKiWqUzmOGefbEKcgTbn8uVe8qmEdj0iJpUc7Sdxt5UNSDWt2rI5LFc71m881GJ5Lo0M/0clb0iJDPMv+EBeOddVXOZLPsrGd6hsuryTM5pQ4INRLRvzO4ZamFMrPcTtS2966z1S1TPzWoX6XwXwS1Pq559OTo4ppym+uhWwjlZ+pl7Zl+CqHNqwXVSBsHNj6sFLs5pZ1fE30FUTKlIl6rQUVgCs1zw1UlERFXNaG2ApW6Rti09b4jKlVQMiHS9h/7Vtw8J1MmHQ8/sixmoIyIaWPVvn3Qs6hZ+GXrj4MRheMcrCGx6WPWgoOqVSUUQ3PLEkD6u0mOpksnzWW55Cd9aBLc+rbX6oNGfD9Knbmg51Mt4zUR0gFRQx2BRX2fTMQS3PV/Vx1Qq8EhwK7jlycFAnep7eTmcbadUVIBr8Drp+iF9fSO73oJv3d2q1QJRLYt0DWbVGe2tZVVOv3LONMNIJpN45c338Lv7HsO9Dz+Nv3y6qtRDIiKiMmRvPV77OhncgmRoW0nHQzQcKXkV2PgQgpuf0CacoDPAPWuZmoSspA+IREQTweyagfolN8JgbdL2xXo+hm/tXaqfGVUnyXjIJEO5DZ1xoE+dsSomxi0F1R+ine8isuvNko6pEibXpT9TJt4/sEcH75xLYbB4SjwyospnMLvgnHK6th3r/gsSwa2oRrLIJ7Dx4SELe/UmF+oXfQXW+sWoVGbXdNQvvkkFI/ISvnXoX3WLarlAVIuy6QRiPYPl820tS8uqKkdZXtGGI1G89No76uuzTj1+2P5zK9dswN/8+/+gszvXNDPvoIVz8dP//A4aG+ombLxERFTepJmylMNJhtrVdrjjTXjnXlbqYRFpkmEpefUg0rFubZ+sDPfOvRxm90weKSKiERgsdahffAN86+7VytkkAhvRv+b38M7/Int8VmH5y3xZNuGcejqMtsFgbSWTRTlSuqxv9W1IhXeofaH25weqRLCE+3AkmzbhX6dty+Ims2f2hD1mRNXO1nIUot0fIhXZpbZlUaH0bauGBRJ5kmXmX/8Hde2QJ8Et7/yrYTBXfuBfFi/UL/oq/BsfRLx/tdqXinaid8Vv4J13pQroEdWSaO8nyA70BtbpLUN6YZeDslyi/c6Hn+Jff/gL3PPw08MG6nr7fbjpO/+pAnVSFqLwtnz1evzVP/+gJOMmIqLKyK6L963gSjIqm1Wcoe0vom/lb4YE6kyuGWg46BsM1BERjYHeaEPdgi/B2nCwti8Z2qpKCmeSgyWFqbrKX0rJIulVV209GVWQ2ewd2JNVi3mSAxPlNCjuW6eCdXkS0LS3nsBDRDSe5ySdAa4Z52nbEuQpfN1VunQigP7Vtw4J1Jnds1X5yGoI1BW+t3jmXgH75JO0fdJyQa6Tot0flXRsRBMpm80i2jlYAtPaeKjq81hOyjJYly9nec7pw19o3fGHx9DvD6qvzzvzFNz1yx/g4dt/gqsv/rw66KvWbcIf//zWhI6ZiIjKm3yAN1jqB7ayql47USklwztUkE594JXG3wPkQ1TdwutgMLtLOj4iokoiq/zdsy+GrekIbV8qslNlKTFgVx2CW58dUv5SykRXY4log8mJuvlfVKu9RTaTgG/t3Ujn/3ZSi+4kiCnX9OqYWRvgnvWFsipjRVQtJPPK1rxU2w7vfA3J0HZUulS0G30rb9ayBoVk2FRrVr68X7qmfladK6XVgpJNq16/oW1/UmWFiapdKrxDfT7Is7cchXJTlle2K1avVxdZxy09bNjvP/Pia+r7Jx17BL7/T3+FQ5cswLzZ0/EPX79WBe8kYPfiq29P+LiJiKi8L07trYOrr6NdHyCTipZ0TFSbZKIxsOkx9K34zZAPh7KK3rvgOvUhSlaxEhHRfkxEzbwA9knHavvS0S70r7lDZWVR5Ur4NyHWM7j6X/ooVUv5y+EY7S3wzL1U9WATmYQP/nX3IJtJotbJMfCt/wOy6YHreL1JZYxU4+Q6UblwTjurYOFrBv6ND1f0+Uh67/WtulmdW/MkM9c9+wtVVeJzOLamw9TCUJ3Rru0L7/yzWgBRyY8p0VhEut7Vvja5pqvrrXJTlsG67r5+GAx6zJ4xdY/vbdjcjr5+v/r6ymWf2+P7V33hXPX/1Rty/QqIiIjybI2Haxelsko52vU+Dw5NaCPjcMfr6PnkJ4h2f6CtBlfPzeYj0XDwN2FhnxUiogMiizqd086BY/LJ2j5ZGCE97KQvDVVmyehAQflL6SVkbx0MyFYri3c+nNPO1raToW0IbHpULU6uVfK3BzY/gVR4cFW8e+YFMNknlXRcRNVOysS5Z12kLSCQ8v1Syr8SxfpWon/1HchqC3d1cE3/HFzTzqrKbO3hmKXlwuIbYbA1a/vifcvRv+p2ZnFT1cqkooj1Lte2bc3ll1UnyvIs1Nvng9Nuh16/5/CkJ50wGY04/KA9myzPmTlNfUDr7umbkLESEVFl1Wq3F5TwiOx6G9lMuqRjouonKxTDHW+i55MfI9T+PLLpwcli+YBUt+A6NdFUbrXSiYgqlXwedEw5fUj/Kil741t7l1o4QZUlvPNVpGM9A1s69Z5ZKxnokiUqC3ryYr2fqgyIWiVl7AszLG0tR8HWeGhJx0RUK8zumUMy1yMdbyLuy83RVtI5xL/+PmnYltuhM8Az59Ihf1etMFjrUb/oBpg9c7R9yfA2Vf2FfVKpGkW7/yJljtTXsojfWr8Y5agsg3WZTAahyPBlSlatyzX9nDV9Ckwm0x7fNxoNcLsciMf5IYyIiPYkH+rzNdozyQBifSt4mKgopLdMaPtL6Pn4/xBqL+izoz4XWtUKzoYl34CZ2XRERMXJsJt6Jmwtx2j7kqGt8G24H9ksF+pUilS0RwXr8mwtR8PknIJaeh67pn8eZvcsbV94+4tDVobXCgkKhNqf07ZNrhlwTTunpGMiqjXOqWfAYG0c2MrCv/EB1UOy3Ek/tuDWZ9QtX91EPo/VLbgW1oaDUKukfLD06CvsSSilQftX3oK4b21Jx0Y03pn50a73tG1b02fKtuRtWQbr6us8SKcz2LajY4/vfbJyrbpgXbxgMPK/u0g0BpuNq9OJiGhPBrMb1oaDB98zdr1Z0+WEaHzJc0l6IEgfh56P/gfhHS8PCdJBZ4R90nFoPORv1QpOnb42MgOIiEoX6DgHtqYjtH0J31pVRo/v/eVPHqPglieljrTa1ptcqlddrZFrBc/cy2GwNmj7/JseQTK0HbUiFeuFf8P92iS76vM79/KynWgjqlY61SPyctUrUkgpSd+6P5R1rzMZm3/9/SqrLk/OIfWLb1DZgrVOMtVdM85TC0nzZU6zmTh8a+9WlYiIqkEisHFIlYbCAHW5Kctg3cK5uVVjDz31pyH7t27fibUbtqivjzhk+FTFnbu6kEym0NI0eCFLRERUqLDMhZTFSobaeYDogMiKUln53/vpT9G/6pZciabCzA0VpDsWjYf+vZo41pscPOJERBNA+s+4Zp4PS90ibV+s+0OEd7zE41/m4n0r1ORKnmvGuSoLoBbpjXZ4531RZYIomSR86+5BOu5HtZNekzJprJUR15vgnXcl9CZnqYdGVJOkR6SUI85LRXYisOXJslwEk0mGVX+6eP9KbZ/RPlkF6owF/dpqnSxuks+q3nlXQac3D+zNIrj1aQS2PMWKBFTxIgXBerN3LozWepSrsgzWnX3aCeokf/dDT+F39z2Gze078M6Hn+Lvvvu/ar/NasHJxw3WbS/04Ser1P/nzJw+waMmIqJKYXJMhsk1c0i9faL9CtB1vIG+Fb/Nlbrc9seC1VrQsgCkb1LTYd9WqxUNZhcPNBFRCQJ2njmXwOQc/IwY3vEKIl3v87EoU9JbMFhQ8tDsmQtLXXn2FpkoRlsjPHOv0KZxMskgfOskiFW9LUCkdJ1/40NIx7q1fZ5Zy9S1PBGVjvSKlLLEebHuv6iKNeVWRrlv1c1DFuaavfNQt+h6VW2H9mSpW4C6RV+F3uzR9kU734Fv7T1q4QRRpWbnJ3zrtG17S3n3qCzLmgFnnnIc7n/8ORV4++kt96hbYbT/i5ecB4fdNuy/ff6VN9TPHHbQwgkcMRERVRp763HwBzerr+P9q5CO9akmy0QjkR5HyWC7qt8vt3S0a8SfNblnqTro1volLNFERFQmpbu8869C38pbtIl/KbFotDYM6QdG5UGy1TOJgawxVaLrXPU5v9ZZPLPhmvF5BLc8obZTkQ5Vetsz9zIVlK424e0vIeFbo207Jp9U0/2liMqJa9rZSIV3asEw6SmpN1hhax4sPV0q8f418G98ENl0XNsnJbFdM89TZR9pZCZHK+oXf01lb0sVIpHwr0Pfyt+qrGajrYmHjypKtPMdrYy2wdoEs2fk1mrloGyv5n7+X/+Ek445QmXS5W/ios+djq9dc8mw/0bKZL753kfq6xOOPnxCx0tERJXF4p0PgyVfMjmLiHoDJxoqk4wg2vMx/BseQPeH/43+1bch0vH6sIE66SXjaDsVjYf8HeoXflmtOGUvFSKi8iolWLfgSyrrWclm4Fv/B7XilsqHPB7hjte1bXvr8TBaG0s6pnJib1k6pKS7lHeT7P5qE+tdjvDOP2vbZu8CVa2AiMqDfM5R/TQtgwteA5sfR6xvRUmzcUM7XlGBpsJAnXPKGXDNvICBujGSzMP6hdcPyWiXhU59K36DWN9gSVGicpdJxxHt/lDbtk86uuwXf5VlZp1wOR34xX//M9q3d2DNhlzmw5IFczB50sg1hY0GowryGY1GTJ08aQJHS0RElUZWH9snHaPqsIto1wcq0FKrvVBoUCrarbIt4/1rB1aKjtx/QVZmWesXw1K/BEb7pLK/8CMiqnUGi1etDO9bdRuQTSGbiqp+WNK/Rm8cvnoLTazg1me0vq9Siss5+WQ+BLtxSkZLtEdlOwhZSGQwe9S1bTVIBLeqjMHC6y3P7IurMnuQqNKDOt4F16qe3VKaVz43+Tc8CN1coyqpONH96fybHkHCt1bbJ/3X3LO/oD6v0b7RGcwqa1synPMLJ7KZOPzr/4Bk6wkqAKrTM0uRylus+yMtcC99f62Nh6HclW2wLm/alFZ1G4u21mZ1IyIiGgtr0+EIbX9RNayXC09ZceNoPY4Hr8ZI9r6UkYr3rVQrBQv7ouxBZ4DZPVNlZpq981X5NCIiqiwm51R4Zi9TWdNCzvvytXf+FxkMKDEpM1040Spl1mTCkIbrw3ipmiBPRTu1IKfe5Kz4MpGyaEp68UkwPT+5JiVsuaCOqDwZrfWoW3At+lbdimw6qhZbSGablOy1txw1IWOI+9YjsOlhZJIhbZ9k/HnnXQWjvWVCxlCt7zXOqWfA6GhTxzcf9JAFIsnAFtUPmK1EqFxlsxlEOt/WtqVNid5gQbkr+2AdERFRscgbta35SHWxKaKdb6sVyVy1WxsBumRomwrQSfmodLx/xJ+ViS8JzKkAnWdORVzgERHR6KwNB6ugQHjHy2o74V+P8PYX4Zz6WR66Eslm0ghufU7bNrlmqsx1Gp4Er7wLrlF9GDMJXy6jZeND0JscFduHMZ0Ion/tnSrjVdEZcpPtLINKVNYkIFa34Br0r74D2UxCnY+kL2w61gvntLOK9vk6k4qpxbfyOb6QfHaTbFxmzI8Pa/0iGG03wbf+Xq0dRDK8Db0rfgn3zAvUNRVRuUn41yMd6xnY0sHWcjQqAYN1RERU0+wtRyPS8aZc6quATbx/NctkVDGZBIr1fKyyKEfLoDPaW2GpW6gCdEbHZAZwiYiqkKPtFKQinWrRhgjvfFWtHme5rNKIdr1X8N6sg2v651heei+k9GXdQMBOy2hZew/qFl6rMkgriUy6+9beiUzBAirP7C+oigZEVP7knFO36Kvwrb0LmWRA7YvselNl/7pnXqjKUI/nwst433IEtz47UH5zgM4I17Sz1KQ82xOML6OtEQ2Lb0Rg69OIDfQAk0w7qUwg1Wkkk9Jgco7zbyXaf7l5vhw1r2Md7K9ZzhisIyKimiYfGiz1i9XFfv4DBSfpqo9k0YV3vYV4rzQ8zwz7MybnNPVcsNQtqpgLOSIi2n+y0t89exn6VnRpQaLAxkdgtDXDaGvioZ1AmVQEoe0vDSlVZHKMrR1GrZPnq3f+1SqjRfVhzMTRv+b3qFv4ZZgck1EJMum4CtRJWfLCvnzM1iCqLHLerl/yNdULNv96Tvg3oPfTn8E59UzYWpYe0CJIVR0luAWhHS8jGdg05HsGW7MqD2yyTzrgv4NG6WM36yJYPHMQ2Py4VhYz3rcCicAmuKafq87bDJRSqSXDO5EIbNS27a3Ho1IwWEdERDXPPulYLViXDG5FMrQdJueUmj8ulU6tuPStQWTna0iG2of9GSmxZa1fAkv9ItUgnYiIaouUNvbOuxJ9K36jghxy8627F/VLbmTZ4wkU2v5yLjNMJgP1FjimnjGRv77imV3T4Z13hXruSnad9GPuX/M71C/8Coz2ZpSzbDqhJvYLr9Xsk46Do4Im1ohot4zfRV9BYONDqmqNkNKYwa1PqeomMmkui2N1euM+lUlW5arV57qtQ7+pM8Ix+SQ4Jp8And7Eh2ICSEDO6JiCwKZHVPBUPUapCAIbH0Ss+wM4p3+uKoKm0vMskwginfCrDE55v5LncjaTzAWd9Sbo9GbojXbVu0+e+/vyvKbiiXS8oX0tVTNMrhkVc7j5DCIioppndk1TZTsk+0pEdr2lmiVT5QbpEv51aoV+Krxjj+/rzR7Ymg6HtfFwZtAREZHKonPP/gL86+9VR0Oy7IKbn1T7uDq8+FLRLkQ739W2HW0ns5TWfpAST5JV4l9/v6oiIBOn/WtuR92C61Q/qXIkE57SAykZ3Kztk37SklVHRJW9EMYz90rEej9BcOvTWh/KVGSnCuiE2l25DGrXDPU5XHpw7v55ToIjqfBOxPpXId6/arCXZQGzZ64qv2i0NkzY30Y5UolGMrjl/Tu07Y8DvQqhMuz6lv8ydy6fcrrqo1ru1PMt4VeLtiUjVK5LpHxrOtY/YlWe4elgsNSp57TJNV3dJPu9WD0baXjpuA+x3txifOFoPaGirucZrCMiIhpYwevfIJMbQKxvOZyJM9XKKKosyfAOBLc8s+eKS1XmcjrsrceqXnQ6naEk4yMiovJkrV+E5OSTENn5qtqO9X4Ms2eWmkyk4gq2P6dNhhks9ariAe0fyVbJzv6CymgBZLI7hL7Vt6Ju/jVl18NO9ahbd8+QQJ218TC4ZpxXUZNqRDQ8eR3bGg/NlUzc8rRWyUZIIC6888/5n1Tnfp3BpLLk5NyVjvWqDOGRmNyz4Jh8MszuWTxflJAEoeyTjlGLRQJbnlTZjzlZ1Yc22vMR7M1LVTZlOVWxyWbTSIU7kAhuUZmBsmhb3i/H4Z6RjvepmwSq8wuFrfUHwdqwRGUj8v2t+CK73tauK/WWOlVFqZIwWEdERCSrkesXQW/2IpPwyTJfRHa9A9e0M3lsKkQmGVYr+qS0ilwkFzJ7F8DZdnLZTVIREVF5cU45LTdpE8wt+AhseQomx9SyLyNYyeK+dUj41mnbzmlnsYTUAbI1HqJKYQY2PaquiSQbRfrZeeddBbNnNsqBTIr2r5EedTu1fZaGg+GedREzEIiqjN7khHfuZUiGT1ST6CqIkU3vFuDo3fsd6QwqKGRvPUFVxqHyISUgvfOvQcK3FsGtzw4+npkkIrveRKTzXdiaDlPZdiZH24SPL5tJqUW9ycDmgQDdVi0TcCx0RhsMJjd0RqsqeymlLqVEpvx92XQS6WRQZebtPg8hZH9k1xvqZrA2quCmrfFw1f+PirMQKNr1vrbtmHRsxS3UZrCOiIhIrQozwD7paITan1fHQ97gnW2n8CKqAkpWxHo+QnDrM3usvpSyKFJ6g/0HiYhorNcCntmXonfFL1UJQZmE8W24Dw2Lb+T1QJFWtsukXmEfWUtdZa1+LldS7lsmFP0bH8z1sMsk0L/2LhUMU8G8EkrH+9G/5vdIx3qGZNS5Z17IQB1RFTM5JsMze5laEBvt/giJ4CYkg9u0fqXD0RsdqpSgRXqMe+fvUS6TyodkjFnqFsDsmYNI5zuqv2A2Fc59M5tS8ytyM9pbVdUC+VkpGVmshbyJULsKyiWD7SpQJ2PYGxmP9Dcz2lpU+Wgpk24we8d0DSgBQXl/S0V2IaF+71ZVUrMwgCfve8EtTyG07UUVuJQ+i9LvjsZPtOt91X9a6AxWWCuwQgaDdURERANsTUcgvP3lXNPgdDRXtqHlKB6fMpVOBBDY/LhawVfIYG2Ca8a5quQKERHRvjBYPPDMWgbfurtz7zXRLrUgxD3rQh7IcRbtfF/1B8zRwTX9HJaHGkdScktnsKiecBJ4lolK6RUlk4fOqZ8tSWAs7t8A/4YHcsHwAVL2VHrUsacPUe1k2kmQwoETVHaSBDAkyCHBDrW4IJvJBU1sTQxkVCDJOnO0Hq/KX0a63kek47UhJSblPUj6GMpNgmJm77xcjzdHmyoZuS9lImXhrryfSIAsGdmV+3+ofchikJEHalC/0+SeCbNzmlrgK8/NA/m75TkrN2vDQWpfOhFEvH+l6p+Wq9qQC9zJXJMcFykVKuVcZdG4Tm/a799Ng31wJYMxz9a8VPXPrDQM1hEREQ3QG21q5U208+2BWtdvqRVPnDwoP3LBK4G6wmw6nd4Cx5TTYG+Ri93KKnVARETlQ1Z72ycdr33gj3Z/oPrjlDojqZpkUlGEdryobVubDldZFzS+LN65qFtwrQo+SzlMEel4HalIJzxzLlHXvhNBJlQjHW8gtO2FIVkGzilnwD75JAZpiWqUfM422prVjaqLZKM5Wo+DvWWp+uwuGU8SSCuUinaqm/ZvjHYVqDWYPSpwp5eMNp1BVT6QbPxsOo5MOqaCf5m4D+m4T8ui2vuAjCooaJbgnGuG+rrYpSgNZpeam5BbKtabKwPb/aFWglPmMkLbnkek8224pp0DS/1ivh8egGjXh4OBYZ0R9tbjUIkYrCMiIiogNcSjne8MNLbuUX1UZNKOyoOsuAy2PzfwGA2SchtSPslg8ZZsbEREVD2cU89QfU1S4e1qO7j5cZicbTBaG0s9tKoQ3vGyFjySco1StpqKw+yajvrFN8G/7h5tUjThX4feT3+uymJKQK/YlRCCW55EvH/14E6dEe6ZF6geRkREVL0kY0xKM8tNFopEe/6CeP+aYbPfVJac3KRs5QGSLDmTczpMrmnqfVDKb0r2W6kYrQ1wzzhXXe9EO99FuONVFXzM97Xzb7gPlrqFcM04Dwazu2TjrOR5onDHa9q2LLo3HECmZCkxWEdERFT4xmhtUMG5/ISCZNcxWFce0rE++DbcP+TiXU3wTT9HlTDdl5IZREREo5EJHe8c6V/3K7XyWVZB+9ffj/rFN7BU0QFKRbtVP5s8KQHFianiMlrrUbf4BgQ2Pox4/yq1L5MMwLf292pCS8pQjnepqFxf4b+ovoSFlRD0Zi+8865Q5ceIiKh2SB8417Sz1S0V60G8f22ur1xkJzLx/v2+X8nIM9onwWSfBKN9supzKBl65Tg/IH0XHW0nwdZ8BMI7/4xI57uq/KuQOahEYLMqC25tPLwsx1+uYj0fq6CnojOoUqyVisE6IiKi3dgnHacF6xKBjar+uVz4UenIRav0XMmvwheyOs4z93IVYCUiIhpvBmu96lXnX3/fYJ+V9hfUymjaf5Ihj2xGC9zYW4/l4ZwAEoyT6yZVjnL7i9rkoJQmi/etgqPtlFz593HIPEgEt6rfkQxsGrLf7J6TK79pchzw7yAiosollQqMrY3AQKnCTDKssr8lGzuTCKj/S79VVf4ym1alMKUPq7yX6Yw2GMxeVVVHBeWMjooLbMn7oGv652BrOQqBTY8jGdys9svilsCmR1WPV/eM81Vwj0Ynz4/wzle1bVvjYRVdcYnBOiIiot2YXDNUIEgm5URk15vwzFrG41Qi0e6/qP50+UmlfLNgWXHGRsxERFRM1volSLQcpUoWqfekzrdh8cxh1v1+ivvWI+Fbq227pp3F9/IJ7g/lmHwizN55Kssuf62bSYUR3Po0wh1vwDH5BFgbDobeaN+n+85mM0gGNqtMgcRuQTrpK+ycdpbKJGAvaCIiGi54ZTbNqsmgZd3C6xDt/hCh9ue1TPR476foC22DZ86lqr8ejSzWuwLpeN/All71wq1kDNYRERHtRlZlSXZdYNPDajvW8wmcU8+s2JrXlUrKJ4W3/2nIKin2OCEiookm5ZqkTFMqsktt+zc9ioaD/goGs4sPxj6ufA62P6ttS5kqS/0SHsMSkIoR9YtvVNdYqsdLJqn2ZxI+BLc8pUpXWrzz1eMjvRoNlvphg2yZVBSpcAdi/asQ71uBTDK4x8+YvfNVdoDB4pmQv42IiKiSyPurvflIWLzz4N/wkJZll473o2/VrXDN+Lz6Pg2/UCi84xVt29p4sCr9XckYrCMiIhqGteEghLa9kJt0yKbVinrnlNN4rCZwQi+w+QnEuj/U9umNDnjmXQWzaxofByIimjCSxe2Znetfh2wK2VQYgU2PwDv/i8wS2gfRrg+Qjnblj6oq/1RpZauqiU5vgHPKqVrfHHl8tCoG2bTqbZfvbyeZcQZbYy4LUoJ22QzSsR5kkqER71+CsY62U2F2z+bjTEREtBcGs0dl2YV3/BnhHS/Lm7F6Pw5uflwtjFHXTXoDj+NuverSse6BLR0cFZ5VJxisK4JINIaXXnsHy1evx4o167Fmw2Ykkync+KVLcdO1lxXjVxIR0TiTfh1SPzwsPT3k3N75riobxLKLxZfNJOHf8KA2QSSMthZ451+tatITERFNNKO9WZVfDm55Um0n/OsR2fU2HAO9Vmh0mVQk1ydtgLXxMJgcbTxsZcBgdsM94zw4Jh2PSOfbqqKElMUslM3EkQrvGMO96WH2zIKj9USY3LMYpCMiItrHLDtZSGN2z4R/w/3aopho17uqp5937hXs+zogm0khtP2l/CasjYfAaGtGpWOwrgjat3fgn3/ws2LcNRERTSB781K1qim/il4mL2T1MRVPJh2Hf929SAQ2Dukh6J13NZsrExFRSUm/1IRvHeK+NWpbMvBlMsXkmMxHZi8kUJdNRdTXOr0Zzqln8JiVGYO1Xq3al95yCf9GxHo/RTLUjnSsd9R/J1l3JtdUVTLTWreIk4hEREQHSK4v6xffBN/6e7XFMsngFvStvBneBdfAaG2o+WMc7Xpfle8euBiBo606KmExWFcEDrsVF33udCxeMAdLFszBa29/iF/dcV8xfhURERW5ybGt6TB1ESAiu96CtekzXCVcxECdb+1d6iK0sM+Jd+7lzGgkIqKSk5KN7lkXoXf5L7Qy2ZIJ3rDkJugM5lIPr2wlwx2Idr6nbTvaTlbZXFSedDqD6psjt/z1WSrSgXTcr8pf5ktl6i11MNqaoDe5eG1MREQ0zqTXa/2iryCw+XFV7lGk473oW/lbtZi5ltuDZNMJVcI7z9Z0ZMX3qstjsK4Ipra14nvf/rq2/db7uRcUERFVHvukY7VgnZQdkIwvi2dOqYdVlRdbvrV3DwnUWRsOgXvWMtZlJyKislrI4579BfjW/E5tS5+MYPtzcM88v9RDK0vZbBbBrU/n+q6o7K0G2CexdGgl0RssMLtmAK5Sj4SIiKi2SBsW96wvwGhtRmj7H9U+qVTQv/p2eOZcCmv9ItSiyK63Bvvm6k1qIVi10Jd6AEREROVMal6bPXO17cjO10o6nmoN1PWrjLrN2j5r0+FqMpQNlImIqNzIoh176/HadrTrPcT6Bvus0qB43/IhC3GkzKL0BSYiIiKisVV2cLSdBPfsiwGdIbczm4J//X2Idn9Uc4cwk4wg3PG6tm1vObqqKjYwWEdERLQXjtYTta8lsy4Z2s5jNo5NgX3r7h0aqGs8HO6ZF6rmykREROXIOeUMGO2DveoCmx9DOhEo6ZjKjZRPDG59bkhpa4t3fknHRERERFSJbI2Hom7+l6AzWAf2ZBDY9DAiu95GLQlt/xOy6Zj6WmewwDF5cL6uGnAWjIiIaC9M7pkwOtq07cJVPLT/stkM/BsfQiKwQdtnbTwM7lkM1BERUXmT7DDPnEtU6Z18SaLAxofVexvlhHe+ikxyIICpM6isOiIiIiLaP2bPLNQtvB56o0PbJ+XGQzteUaXHq10ysktrUyMcbadAb7SjmrD+RIW44JpvDru/fUcHJrc0IRgMTviYiIjKTSQSKdp96+uWAuHH1NfxvhXw92yF3lIdDWxLQS4kEx3PI+1boe0zuBdC13QGQqFwScdGVE2KeV4kIivMLacj0fGcln3fv+VlmBqPqvlDk0n0I9bxhnYcjA1LEU2agWRpP7fynEhExPMiUWVzwjz9SsTb70d2YFFUePuLiEcCMLWcospmVuscUnzrE1ofZJ25DmnHQeMeE5FrRZerdI16Gawbxrf+5YfY1L5vJc5+8M/fxEEL543X40JERGXG4JoHnbke2USf2k72vgvL5LNLPayKlex6DWnfJ9q23jEL5rZzWfqSiIgqisF7MAyhjUgH16ntZNerMDimQ2+bhFqW2PWiNKVVX+uMLpgajyn1kIiIiIiqgiwct8y4CvGt92tzVKm+95DNxGBuPasq51XSwbXIRNq1bXPLadDle/hVEQbrhrFjVye2tO/YpwMZiyVQTI/f+fMRM+4ymUxJI75EROWmWOdEU9tJqieNSPtXwD7zrKpqZDtRIrveQap3sK66yTkNdQuuhs5gLum4iKoZrxWJiicz72L0fvqLgZKPGSQ7nkbDkq/X7PtavH8NIqGN2rZ7xjmwehpQTnhOJCLieZGosrmQcd2A/jW/RyrSofakfZ8io8/AM/tiVbK9WmQzSfRs+LO2bfbMg3fyYahG1fOojaOHb/9JqYdARERlyNp4KELbX0RGSjhl04jsehOuacyu2xex/tWqpnqe0dYC7/wv1uyEJhERVT7pleGZczH6V9+hSvOkYz0Ibn1G9WCtNdlMCsGtz2rbJtdMWOoPKumYiIiIiKqR3uRE3cIvw7f2biRDW7W2Lb5MAt65V0A30Fu50oW2v4xMwpfb0Onhmn4OqlX15UQSEREViaxMsrcer21HO99DJsn+amOVDG2Df8MDWo1xvdkD74JroDfaivJ4ERERTRSzexbsk0/UtqPdHyDWN9iXtVaEO15HOt47sKWHa8a5Vds7hYiIiKjUZD6lbsGXYPbM1fYlfOvQv/YuZNJxVLpkaDsiBX2Q7ZOOhdHWhGrFYB0REdE+sDUfCZ3Rrr7OZhIqu472Lh3rQ//au4FMUm3rDBaVUWcwe3j4iIioKjjbToPR0aZtBzY9jnR8YBVwDUhFuxHe8Yq2bWs5CiZ7bffuIyIiIio2qVTknXcVLHWLtX3JwCb41vwOmVS0ois2BDY9qsrMC4OlXl1vVzMG64iIiPbljdNggWPS8UP6r2VSER7DUchqLt+6e5BNDWQh6gzwzL2SE3hERFRVdHoDPHMuhU6fK+2cTUfh3/gwstncBEM1y2azCGx+QpUJF3qTC84pp5d6WEREREQ1UwnKM/dS1b6lsLpR/+rbkEmGUInCO19FKtqpbUuJ+WpvocKedUXyrX/5IXr6+tXXXT196v+PPPMi3nzvI/V1Y30dfvZf/1isX09EREUkK8WlzJNMwmUzcUR2vcUJqRHIBKV/w4NDL7BmXgCLZzafo0REVHWM1ga4ZnwegU2PqO1kcLOaaHC2nYJqFuv+UP2teXIM9EZrScdEREREVEt0OgPcs5aphWPRrvfUvlRkF/pW3Ya6hddWVGWjZGQXwjv/rG3bmpeqsvPVjpl1RbJmwyZ8umqduu3q6lH7urp7tX3yfSIiqkwy+WRvPVbblmBdJZcWKKbQtj8h4VujbdtbT4Ct6fCSjomIiKiYrI2HwVJ/kLYd3v4SEoHBQFa1SSdDCLY/p21b6hbCWj9YhomIiIiIJoZOJz2Dz1NzL3npWDf6V92KVCyXUFQJ1Zn86++XOphqW2/2wjntLNQCZtYVyQsP3FKsuyYiojJgbzkGkY43kU3HkE1Ldt3bcE45tdTDKivRno8R6XhN2zZ758M59bMlHRMREVGx6XQ6uGeej97wdmTiUm0lC/+G+1F/0F/BYHJWXfnL4Jan1PWQ0OktcE3/fKmHRURERFTT16LOqWeqkpGyaEyk4/3oX3UzvPO/BJOjFWV9bbn5CRVgLKzOJC1pagEz64iIiPbnDdRog33SMdp2ZNebzK4rILXRA5se07YNtmZ4Zl+iVnkRERHVwnWCd85lqk+rkF4hgQ0PVF3/unjfcsT7VmjbzqlnwGCpnBJLRERERFUbsGs7Fc5pZ2v75Hq0f/WtSATKt+JftOt9xHo/0bbtrSfC4p2LWsEZMyIiov1kn3QsdAOre2RFeXjnYBZZLUvH/fCtuwfIptS2zmiHd97V7F1DREQ1xeScAte0c7RtmRgJ73gZ1SKdCCCw+Ult2+Saqfr6EhEREVF5cLQeD/fMC2VmRm1LZaj+Nb9HrHdwsVW5SIZ3ILj1aW3b5JoB59TTUUsYrCMiItrfN1GjfUgd8Ejn20gngjV9PLPphArUyYotRaeHd+4VMFrrSz00IiKiCSfBqyH963a8glj/6op/JKREUWDzY8imcz17dXozPLMuYgY9ERERUZmxNR8Bz7wrZSV1bkc2rUq0y4JzuaYrB+m4D75196qxCb3RAc+cS6EbqFJRKxisIyIiOsDsOrmIUDJJhHe+UrPHUy7y/JseQSqyU9snjY3N7pklHRcREVFJ+9fNuhAGa6O2L7DhIaSig304KlG0+wMkfOu0bef0c2DgwhwiIiKismStW4i6hddBZ7AN7MkitO0FBDY9gmwmVxWpVDLJiMr2yyT8A3t0KlBnMLtRaxisIyIiOpA3UoMFjraTte1o1wdIx/pq8phKtkBh3xoJZNqbjyzpmIiIiMrhWsE770ro9AOlszPxXBZ6KoZKJIHG0NZntW2zZx5sTUeUdExERERENDqzazrqF38VBstg5aNYz0foX3OHKm9esupMa+9COja4kM0141yYPbNRixisIyIiOkC25qXQm725jWwaoSrqRzNWUu88vOMlbdvsmQPntLNKOiYiIqJyYbQ1wz37C9p2OtYD/8YHkc1mUElkQsW//j5kMwm1LauzJXNQMgiJiIiIqPyvSesXf031g8tLBreib/kvEfdvLEEblXuRDG/T9jnaToW95WjUKgbriIiIDpBOb4RzyqnadqznYyTDHTVzXJPhnfBveljbllJfnjmX1VxtcSIiotFY6xfB0XaKtp3wrUWo/fmKOmiBrU8jFe3Utj2zl9VkiSIiIiKiSqU3OVC34FpYGw/X9mVSYfjW/A6h7S9NyGKydCKIvtW3IhHYoO2zNR+lgnW1jME6IiKicWBtPBQGa9PAVhbBrc+UTaPeYpJSCVLKS/r1CZ3BCu+8q6E35uugExERUZ5MQFi8C7TtyK43Edn1dkUcoGj3R4h1f6ht2ycdD0vdwpKOiYiIiIj2b9G5e9ZFcM04H9AZB/ZmEd7xMvpW/hbJyK6iHdZUpEv9jlR4p7bP0nCwKn9Z69UaGKwjIiIaB5JF5pp+tradDG5GvH9VVR/bbCapShYMNgHWwzP3chhtjSUeGRERUXnS6fRwz7kERnurtk8W+MT7V6Pcs+gDW57Qtk3OqXBO/WxJx0RERERE+08CY/aWpahffMOQPnap8A70rfgVQtv+pOZ9xossaI92f4i+VTcjk/Bp+20tx8Az+2J1nVzreASIiIjGicU7H2bPPG071P4csplUVR5fucgKbHoUqfB2bZ9r+jmweOaUdFxERETlTm+wwDv/i9CbPQN7svBteADJ0GC/jrLLol97d0EWvS1X7lrPctdERERElc7kmIz6JV+HtfGwwZ3ZDMI7/4yej3+MSOc7Bzy3lYr1qTKbMo+UTccG9urgmv45uFVGHcNUgkeBiIhoHOWy63Jvr+l4PyK73qrK4ysXbbHeT7VtW/NS2Gq4CTAREdG+kD5vErDT6S25HZkk+tf8XmWwlZNsOgHfuruRSQYG9ujhmXMpDBZviUdGRERERONFb7TCM/sL8M7/EvTmweu8TDKI4Jan0PPJTxDueFMt4toXqWg3AlueRO/ynyMR2Kjtl2tgqcxkn3QsH8QC+YKkRERENA6MtmbYWo5CtDPXfya845VcPzuzu2qOb6xvBcLbX9S2ze7ZcE1nbXEiIqJ9YbJPgmfeFfCtvUuiYmqVcf+a36F+4fUw2ltKfjCz2Qz8Gx8a0k/ENeNzsHjnlnRcRERERFQccp3XcPA3Ed7+MiIyr5VNq/1StjLU/qyqIGV2z1J9i6Wsu9E+SQX68qRsZjLcoaowxX1rkfBv2ON3mL3z4Z5xPgyWfJUJymOwjoiIaJw5p5yKWO/HyKaiyGYSCG59Ft65l1XFcU6Gd8C/8WFt22BtUKuhWAqLiIho30n5aCkp6V9/n0yDIJuKoH/NHaiTgJ2tqaSBuuDmJ4b035V+InZm0RMRERFVfcl2qRolWW9SVUn6zOWDdlK+XTLkhmTJGWza96Qqg1zTDkdndKiyl9aGg1W/PNoTy2ASERGNM73RDueUM7TteN9yxPvXVPxxzvWsuaegZ40V3nlXQ2/MX5gRERHRvrLWL4JnzsWqb4fIJEPoW3ULkqHBvrClCNRFuz8YsgJaetMSERERUW2QzDf3zPPReMjfwD75pCHlMQtl09GBW2zYQJ3R1gLXzPPRdOjfw9Z4CAN1o2BmHRER/f/t3Qd0VFXix/HftCSTRhIILZTQQ++CKKLgKjYUXf6oWEBUbMva3V0LlnVdy7quBV1EXRVZLKCuotgVEZEivfcaAqT3NvM/75JEAgkQmGQmyfdzzpw3896b++5Mcm4m87sF1cDduL/yDixTYdYO89iao7thZBvTQ6k2sqYySNswrfyaNR2u8GuvfwAA6gqrh7HXU6SMLTPNY2uEXcraqYrqcKWCozr6NahzRbQ269TZbPT1BQAAqG8cwdGKaHmOwlucbb7jyk9ZbWZdKsrZK29x/pFPsLvkCmsuV1gLBUcnyBXRhoDuOBHWAQBQDawvtCLbjFTyqhfNdAGegnRl7fxKkfEX1rr326xZs+k9FWXvLr9mTYP2fq0XAAB1iTu2jzVs/WBgZ001ZDrKvK3INpfIHdu3RjrmZGz5UHnJy8v2ucJbK6rTtbW2sxEAAAB89z1XUES8uVm8Xq9Zy85TmG0dNJ26bXanHCExstkcvO0ngK5xAABUE2doY4U1H1L2ODdpgQoyD460qy2sD1+Z2z89bM2aAaxZAwBANbCmBorqdI1s9qCSP8QeZWyZpfQtM0vWAKkexfnpSlnz6pFBXQJBHQAAAI5krTtnjbpzhbeQKyxOrrBmZvYlgroTR1gHAEA1ssI6R0jpVJFeZWz+QJ6KpgkIUDmJPyo36ZfD1qy5wK91AgCgLrNGrkd3uV52Z1jZvrz9vyp59csqykny+fUKMrcpZfXkciPogyLbEtQBAAAANYiwDgCAamRNARDZdqR1zzwuzk9W5rb/1Yr3PPfAMmXt/KLssTMsTlHtL6eXFAAA1czqnRzT7Ra5wluW7SvO3afkVS8pc8cXPun44ynKVcbWj5S65lV5CrPK9rubDFRUp7FMfQkAAADUIMI6AACqWVBEa4XFnVn2OO/AMuXuXxrQ73teymplbJ5Z9tgRHKNoa1ouR8m0XAAAoFo5gqMU3fkGhTYb/NtOb7FyEucqefmzyt23WF5P0QmtTWc9N3n5P5W7b9FvB2wORbS5RJHxF8lmZ50RAAAAoCY5a/RqAADUU2FxZ6kgfYsKs7abx9boOldEKzlDGirQ5KdtUPqmd60+9+axzRmmqISxsrvC/V01AADqFSs0i2g1XEER8crY+rE8hRlmvzUSLmPrh8rcOUfuRr0VEttXTncTs3ZIZWvQWqP7c/ctUe7+xfIW5ZQ77nA3VmSbkQqKaFUjrwsAAABAeYR1AADUAGuB3QbtRyl55YvyFufJ6ylQ+sbpiu5yY0BNM1WQsVVpG94xPfctNkeIohPGBmSoCABAfREcnaBGkW2VnThX2Xt+lLwHR9R5i3KVs3e+udkcbrnCmssZ2kw2h8tK6OT1elSUm6TCrF3yFmUfWbDdpfC4oQptehqj6QAAAAA/IqwDAKCGOIKjTa/19E3/NY+LcvYqfdN7iuo4Rjab/2emzk/frPQN08q+ALTZgxTV6VrzxR8AAPAvayrq8BZnyx3bV1m7v1Ve8kpriF3ZcW9xrgoyNpvbMdldcjfsqbDmQ+QIianeigMAAAA4JsI6AABqUEjDbirMOk05e38yjwvS1ilrx+eKaH2BX38O+alrlbZxRllQJ5tTUZ2uZjosAAACsPNPg7aXKaLVBcpLXm6mtSzK3nN8z3U3lju2n9yxfWR3uqu9rgAAAACOD2EdAAA1LLzVcBXnJSs/bZ15bE1d5QhuqNCmA/3ys8hLXqH0ze9LXk9Zb/uojlcpKLKtX+oDAACOze4MUWiTAebmKco1gV1h9h4V5e03U2DKLF9nkyMoSq7wFnKFtZDdFcpbCwAAAAQgwjoAAGqYNeVlZPv/U+qaV1WUk2j2ZW7/VLI7FNq4f43Vw+v1KifxR2Xt/NJ6dLBujmBFdbpGQRHxNVYPAABwcqx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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The composite signal contains: 3 Hz + 7 Hz + 12 Hz\n", + "The Fourier transform will reveal these hidden components!\n" + ] + } + ], + "source": [ + "# Visualization 1: Building a composite signal from sine waves\n", + "# Let's see how three simple oscillations combine into a complex signal\n", + "\n", + "duration = 2.0 # seconds\n", + "fs = 500 # Hz\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Three component frequencies (like three notes in a chord)\n", + "freq_1, amp_1 = 3, 1.0 # Low frequency, strong\n", + "freq_2, amp_2 = 7, 0.6 # Medium frequency\n", + "freq_3, amp_3 = 12, 0.4 # Higher frequency, weaker\n", + "\n", + "# Generate individual components\n", + "signal_1 = generate_sine_wave(t, frequency=freq_1, amplitude=amp_1)\n", + "signal_2 = generate_sine_wave(t, frequency=freq_2, amplitude=amp_2)\n", + "signal_3 = generate_sine_wave(t, frequency=freq_3, amplitude=amp_3)\n", + "\n", + "# Combine them\n", + "composite = signal_1 + signal_2 + signal_3\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(4, 1, figsize=(12, 8), sharex=True)\n", + "\n", + "axes[0].plot(t, signal_1, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "axes[0].set_ylabel(f\"{freq_1} Hz\")\n", + "axes[0].set_title(\"Component Sine Waves\")\n", + "\n", + "axes[1].plot(t, signal_2, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_ylabel(f\"{freq_2} Hz\")\n", + "\n", + "axes[2].plot(t, signal_3, color=COLORS[\"signal_3\"], linewidth=1.5)\n", + "axes[2].set_ylabel(f\"{freq_3} Hz\")\n", + "\n", + "axes[3].plot(t, composite, color=COLORS[\"signal_4\"], linewidth=1.5)\n", + "axes[3].set_ylabel(\"Sum\")\n", + "axes[3].set_xlabel(\"Time (s)\")\n", + "axes[3].set_title(\"Composite Signal (sum of all three)\")\n", + "\n", + "for ax in axes:\n", + " ax.set_xlim(0, 1) # Show first second only for clarity\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"The composite signal contains: {freq_1} Hz + {freq_2} Hz + {freq_3} Hz\")\n", + "print(\"The Fourier transform will reveal these hidden components!\")" + ] + }, + { + "cell_type": "markdown", + "id": "0855e918", + "metadata": {}, + "source": [ + "### The Reverse Problem: Decomposition\n", + "\n", + "Looking at the composite signal above, can you identify the three component frequencies? It's nearly impossible by eye! The signal looks like a complex, irregular waveform.\n", + "\n", + "This is exactly what the Fourier transform solves: given a complex signal, it automatically decomposes it into its constituent frequencies." + ] + }, + { + "cell_type": "markdown", + "id": "638cb451", + "metadata": {}, + "source": [ + "---\n", + "## 3. The Fourier Transform\n", + "\n", + "The **Fourier Transform** converts a time-domain signal $x(t)$ into a frequency-domain representation $X(f)$.\n", + "\n", + "### Continuous Fourier Transform (conceptual)\n", + "\n", + "$$X(f) = \\int_{-\\infty}^{\\infty} x(t) \\, e^{-2\\pi i f t} \\, dt$$\n", + "\n", + "Where:\n", + "- $x(t)$ is the input signal (function of time)\n", + "- $X(f)$ is the output (function of frequency)\n", + "- $e^{-2\\pi i f t}$ is a complex exponential (rotating phasor)\n", + "- $i$ is the imaginary unit ($\\sqrt{-1}$)\n", + "\n", + "### Discrete Fourier Transform (DFT)\n", + "\n", + "For digital signals with $N$ samples, we use the **Discrete Fourier Transform**:\n", + "\n", + "$$X[k] = \\sum_{n=0}^{N-1} x[n] \\, e^{-2\\pi i k n / N}$$\n", + "\n", + "Where:\n", + "- $x[n]$ is the $n$-th sample of the signal\n", + "- $X[k]$ is the $k$-th frequency bin\n", + "- $k$ ranges from $0$ to $N-1$\n", + "\n", + "### Key insight\n", + "\n", + "The output $X[k]$ is a **complex number** for each frequency. This complex number encodes:\n", + "- **Amplitude**: $|X[k]| = \\sqrt{a^2 + b^2}$ — how much of that frequency is present\n", + "- **Phase**: $\\phi = \\text{atan2}(b, a)$ — the timing offset of that frequency component\n", + "\n", + "### The FFT Algorithm\n", + "\n", + "The **Fast Fourier Transform (FFT)** is an efficient algorithm to compute the DFT. Instead of $O(N^2)$ operations, it requires only $O(N \\log N)$, making it practical for large signals." + ] + }, + { + "cell_type": "markdown", + "id": "1e57783f", + "metadata": {}, + "source": [ + "---\n", + "## 4. Computing the FFT in Python\n", + "\n", + "Let's implement the FFT using `scipy.fft`. The key steps are:\n", + "1. Apply FFT to get complex-valued output\n", + "2. Construct the frequency axis to know which index corresponds to which frequency" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "fe407eb9", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_fft(\n", + " signal: NDArray[np.float64],\n", + " fs: float\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.complex128]]:\n", + " \"\"\"\n", + " Compute the Fast Fourier Transform of a signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.float64]\n", + " Input signal in time domain.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " frequencies : NDArray[np.float64]\n", + " Array of frequencies corresponding to FFT bins.\n", + " fft_values : NDArray[np.complex128]\n", + " Complex FFT values.\n", + " \"\"\"\n", + " n_samples = len(signal)\n", + " fft_values = fft.fft(signal)\n", + " frequencies = fft.fftfreq(n_samples, d=1/fs)\n", + " return frequencies, fft_values" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "958cfbde", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The FFT reveals the three component frequencies as clear peaks!\n", + "Peaks at: 3 Hz, 7 Hz, 12 Hz\n" + ] + } + ], + "source": [ + "# Visualization 3 & 4: FFT in action\n", + "# Let's apply our function to the composite signal from earlier\n", + "\n", + "duration = 2.0\n", + "fs = 500\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Recreate our composite signal\n", + "freq_1, amp_1 = 3, 1.0\n", + "freq_2, amp_2 = 7, 0.6\n", + "freq_3, amp_3 = 12, 0.4\n", + "\n", + "signal_1 = generate_sine_wave(t, frequency=freq_1, amplitude=amp_1)\n", + "signal_2 = generate_sine_wave(t, frequency=freq_2, amplitude=amp_2)\n", + "signal_3 = generate_sine_wave(t, frequency=freq_3, amplitude=amp_3)\n", + "composite = signal_1 + signal_2 + signal_3\n", + "\n", + "# Compute FFT\n", + "frequencies, fft_values = compute_fft(composite, fs)\n", + "\n", + "# Plot both time and frequency domain\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 4))\n", + "\n", + "# Time domain\n", + "axes[0].plot(t, composite, color=COLORS[\"signal_1\"], linewidth=1)\n", + "axes[0].set_xlabel(\"Time (s)\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Time Domain: Composite Signal\")\n", + "axes[0].set_xlim(0, 1)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Frequency domain (magnitude of FFT)\n", + "axes[1].plot(frequencies, np.abs(fft_values), color=COLORS[\"signal_2\"], linewidth=1)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"|FFT|\")\n", + "axes[1].set_title(\"Frequency Domain: FFT Magnitude\")\n", + "axes[1].set_xlim(0, 50) # Show up to 50 Hz\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Mark the component frequencies\n", + "for freq in [freq_1, freq_2, freq_3]:\n", + " axes[1].axvline(freq, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7)\n", + " axes[1].annotate(f\"{freq} Hz\", (freq, axes[1].get_ylim()[1]*0.9), \n", + " ha=\"center\", fontsize=10)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The FFT reveals the three component frequencies as clear peaks!\")\n", + "print(f\"Peaks at: {freq_1} Hz, {freq_2} Hz, {freq_3} Hz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "8ae0ba5e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The FFT clearly reveals the three components: 3 Hz, 7 Hz, 12 Hz\n", + "This is the power of frequency domain analysis!\n" + ] + } + ], + "source": [ + "# Visualization 4: FFT reveals hidden components in composite signal\n", + "# Let's apply FFT to our composite signal from Section 2\n", + "\n", + "freqs_composite, fft_composite = compute_fft(composite, fs)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n", + "\n", + "# Time domain - looks complex\n", + "axes[0].plot(t, composite, color=COLORS[\"signal_4\"], linewidth=1.5)\n", + "axes[0].set_xlabel(\"Time (s)\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Time Domain: Complex-looking Signal\")\n", + "axes[0].set_xlim(0, 1)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Frequency domain - clear peaks!\n", + "axes[1].plot(freqs_composite, np.abs(fft_composite), color=COLORS[\"signal_4\"], linewidth=1.5)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"|FFT|\")\n", + "axes[1].set_title(\"Frequency Domain: Hidden Components Revealed!\")\n", + "axes[1].set_xlim(-20, 20)\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Annotate the peaks\n", + "for freq in [freq_1, freq_2, freq_3]:\n", + " axes[1].axvline(freq, color=\"gray\", linestyle=\"--\", alpha=0.5)\n", + " axes[1].axvline(-freq, color=\"gray\", linestyle=\"--\", alpha=0.5)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"The FFT clearly reveals the three components: {freq_1} Hz, {freq_2} Hz, {freq_3} Hz\")\n", + "print(\"This is the power of frequency domain analysis!\")" + ] + }, + { + "cell_type": "markdown", + "id": "dfd2d006", + "metadata": {}, + "source": [ + "---\n", + "## 5. Amplitude Spectrum\n", + "\n", + "The FFT output is complex: $X[k] = a + bi$. The **amplitude** (or magnitude) tells us *how much* of each frequency is present:\n", + "\n", + "$$|X[k]| = \\sqrt{a^2 + b^2}$$\n", + "\n", + "For practical analysis, we typically:\n", + "1. Take only **positive frequencies** (one-sided spectrum)\n", + "2. **Normalize** by dividing by $N$ (or $N/2$ for one-sided)\n", + "\n", + "This gives us the **amplitude spectrum** — the strength of each frequency component." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d9bb8aaa", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_amplitude_spectrum(\n", + " signal: NDArray[np.float64],\n", + " fs: float,\n", + " normalize: bool = True\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute the one-sided amplitude spectrum of a signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.float64]\n", + " Input signal in time domain.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " normalize : bool, optional\n", + " If True, normalize amplitudes. Default is True.\n", + " \n", + " Returns\n", + " -------\n", + " frequencies : NDArray[np.float64]\n", + " Array of positive frequencies.\n", + " amplitudes : NDArray[np.float64]\n", + " Amplitude at each frequency.\n", + " \"\"\"\n", + " n_samples = len(signal)\n", + " fft_values = fft.fft(signal)\n", + " \n", + " # One-sided spectrum (positive frequencies only)\n", + " n_positive = n_samples // 2\n", + " frequencies = fft.fftfreq(n_samples, d=1/fs)[:n_positive]\n", + " amplitudes = np.abs(fft_values[:n_positive])\n", + " \n", + " if normalize:\n", + " amplitudes = amplitudes * 2 / n_samples # Factor 2 for one-sided\n", + " amplitudes[0] /= 2 # DC component should not be doubled\n", + " \n", + " return frequencies, amplitudes" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c2ef1673", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Z5ugs8BVbkuklYAAAAABA9fPiqHdl3KSfyr2e1i2aBgQCOG3ZUiDfTfrR/N5rz25h5+m/by9p2KBeyPS2rVqUe9uAhPHtGiwgGY6AgUilCgAAAAAkLQIGAAQoKgkMGBApDnguk/0FAAAAoBrquXsX6dy+jfTo2kl6dO0oR5xxqRQWFsW9nr337G5+wnln9FcmYKDXHl2lVfOmYee56KyTpE+vHnG/LlCpgjMMbC39lZIEAAAAQOohYABAAF9ASYK0MM+ls8cAAAAAVDt6o76iffbtePN47OGDKvy1gIpkOTMJZGbs+p0MAwAAAEDKCbwbCCDlOTMMZKZ7JM0T/jkAAAAASCVLV6ySX37/SzIyvHLEQf2renOA8nGUHzQlCXaynNMBAAAApAQyDAAIUFS8KyjAm+YxP4U7pzmfAwAAAIBU8tk3pdkFBuzfW+rm1Y4435gJU+Xb8VOkpKREWjTbTQb26yPt27SsxC0F4s0w4OgeJMMAAAAAkHIIGAAQwFeyq9MgIz0wYMD5HAAAAACkks93liM4LkY5gjc//Dzg7xEvviannXCEDL/qYvF6KfGGaqJ4VyYBK8MrnjDTAQAAAKQGAgYARMkwUJplINxzAAAAAJAqfvtzriz6Z7nUrVNbBvTtHXaebp3aSc/du8h+e+8hTRo3lLXrN8qkqTPl6ZfflHdGfyUZGRly89ALXb/m4CHDwk5fsmyFNG/SWPLz88v8fpDiLEvSHJkECsWS7J2/Fxf5OLZQLgUFBexBJBTHFBKNYwocU6gJ56m8vLxKfc20Sn01ANVekaPToLQkQfjnAAAAACBVfPbNBPN4xKD+5sZ/OOeccpycdvwR0qZlc8nOypKWzZrIGSceJSOfvl8yMrzy9odfyMrVayt5y4EwgrMHZjgyX5BhAAAAAEg5ZBgAEMBX4sww4JEMR4YB53MAAAAAkAp8vmL5atwk8/txR0QvRxBOx3atZVC/PvLt+CkydcYsGXzUwa6WGz3yqYiZB0pKSip9xAmSh7WjUJxjwDNr1/L/7imxpDbHFhKAcxQSjWMKHFOo7jhPoSYjwwCAAM6yAxosQEkCAAAAAKls8vRfZP2GTdKyeRPZq0fXMq1Dsw6otes2JHjrgPhZwdkDMx3jicgsCAAAAKQcAgYARM0wEBAwQIYBAAAAACnms2/Gm8djDxtY5nVszt9iHnOysxK2XUCZOcoOmB4Ab2BJAssiuyAAAACQSggYABCgyDGaICRggJEGAAAAAFJIQcE2+f6Hn8zvxx5etoCBwsIimTB1hvm9W+f2Cd0+oEx8jgwD6WmlPzaNFWCwAAAAAJBSCBgAEMCZRSA4YMCZfQAAAAAAarI3P/xCjjt3qDz50msR5xkzYaps275D9uze2V9WIJy/Fy+VT7/+3gQHOK3fuEluvPtxWbl6rXTp2FZ67dEtoe8BKAvLkWEgJGBAOZ8HAAAAkPQcRcoAQMRX7AwYEMlId2YYIGAAAAAAQPU0Ycp0eXHUe/6/i4p85vHsy2/2T7v0vFNlQN99zO8bN22WRUuWyZp1GyKu87NvS8sRHHf4oKivvW79Rvn3A/+Rh55+WXbv0kHq16sra9aul9lzF8jWgm3SpHFDeeyuG8Tj2dW+AqqMM3ugCRhIDwooKBGOVAAAACB1EDAAIEBRya6OAw0WCMww4OhUAAAAAIBqZP3GzTJr9tyQ6c5pOo9ba9atl59+/k28Xq8ceXD/qPO2adVczjn1OJn1xxyZ9/cS2bg5XzIzvGb6oH595OxTjpW6ebXjfEdAxbB8zgwD6SKOdr/hfB4AAABA0iNgAEAAZxaB0pIE4Z8DAAAAgOpk8FEHmx+3rrjgDPMTSeOGDeSX7z5wta7dGjWQm4de6Pq1gSrlLDmQliaimS8004CdeYCSBAAAAEBKCSpSBiDVBZYkCMwwUORMWwgAAAAAAGp+SQLzmB5QkgAAAABA6iBgAEDEkgQaLJARUJKADAMAAAAAANRkljODwM6AAY93V8AAJQkAAACA1ELAAAC/4hJLnDEBoRkGCBgAAAAAAKBG84XLMLCri5AMAwAAAEBqIWAAQNjsAmEDBoKeBwAAAAAASZBhwBEwIM7nAQAAACQ9AgYA+PmCMgh400qDBiI9DwAAAAAAaphix2CANDvDACUJAAAAgFRFwAAAvyJnPQIRyQjJMEDAAAAAAAAANZovNMOAeHcFDFCSAAAAAEgtBAwACJtBQAMFPB4NGAj/PAAAAAAAqHkCAgIoSQAAAACkPAIGAPgVOToN7MwCGemODAPOTgUAAAAAAFDzFIfJMOAoSWD5aPsDAAAAqYSAAQBhSw7YgQKUJAAAAAAAIHlYjpIElj9gIC18QAEAAACApEfAAAA/nyODQEZaWkjAACUJAAAAAACo4QJKEpRmFvB408M/DwAAACDpETAAIGyGAW/YDAN0GgAAAAAAUKM5MwikhWYYsMgwAAAAAKQUAgYA+BUVO0oSpIUGDGg8QbEjqAAAAAAAANQsls+ZYaC0a9CzM9OA4ShZAAAAACD5ETAAwM/nyCDg3dlp4AwYUGQZAAAAAACgBnNmELAzC3idGQbILggAAACkEgIGAITPMLCzJIGdacDmc8wDAAAAAABqloCAgHAZBihJAAAAAKQUb1VvQHXw+5/z5JW3R8vPv/0pGzZulpycLOnUro0MPvoQGXzUweLxBN4wLS4uljc++Fw++mKs/LNspeTmZEufXj3kygvOkPZtW0V8ne9/mCavvjNa/pq30PzdrXN7ueCMwTKg7z4V/h4BN4pKwpUkiDwPAAAAAABIggwDAQEDZBgAAAAAUknKBwx8O36K3Hj3Y1JcXGJu4O+9Z3fZsHGTzJz1p8z87U+ZOmOWPHz7tf4dVlJSItff+aiMnfij5NWuJQP69pYNmzab9UycOkNefvIe2aNb55Ad/dp7n8ojz/xPvOnpsl/vPSUzM0OmTPtFrhx+v9xy9SVy1klHV/JHD4QqKg4tSaABM1qWwLczUMA5DwAAAAAAqGF8joCBtDAlCZzPAwAAAEh6KR0w4PMVy30jXjTBAg/ddq0cc9gA/3N/L/pHzrvq3/LFmAly8jGHyr5772Gma1YBDRZo07KZvPr0A9KoQT0zXQMGrrvjERl+75Py8ainxevdFZm9cMkyefz5V02QwMsj7pG9enQ10xf9s0zOvfIWefSZ/8kB+/aS1i2bVfo+ACKVG3CWInAGDFCSAAAAAACAZC5JwEABAAAAIJUEJRtPLQuXLJX1GzZJ29YtAoIFlJYWOPawgeb33/+a758+6t1PzOO1lw3xBwuowwb2lUH9+8iSZStk3A8/Bazrjfc/M0EJpx1/hD9YQLVt1UIuOecU8RUXy+vvf1Zh7xMoU0mCdE/Y3ylJAAAAAABA8pYksJzPAwAAAEh6KR0woCP+3ahXN888Ll2xSv5evFSyszJNKYJghw/sZx6/nzwtYPqEqTP8QQUhywwqXWb8lMBlgKrgc5YksNMSmmwDaWHnAQAAAAAANYelAwUcgwX8AQOOkgRkGAAAAABSS0oHDLRs1kRatWgqi5Ysk8+/nRDwnJYk+Ozb8VInr7YccuB+Ztqc+YvMY8d2rSXDG1rNoVvn9uZx3oLF/mmb87fKilVrzO9dO5U+79R0t0ZSv24dWb5yjWzZWpDgdwgkJsOAlwwDAAAAAADUfCVB2QPClSTwkWEAAAAASCWhd71TSHp6utx/yzC5cvj9Mvy+ETLy3Y+lTcvmsn7DRpk5609TluC+4VdJ3TqlGQZW7rzx36Rxw7Drs6cvX7XaP23F6tJlNPAgNyc74nIbNm02QQOdO7RJ+PsE3Coq3hUw4E1zlCRw/O6cBwAAAAAA1CC+oKyBdqCAnWmAkgQAAABAyknpgAHVa49u8spT98k1tz0kf8792/yojAyv9N2np7Rs3sQ/b8G27eYxOzsr7LpysksDArYWlM6ntsVYxiyXU/pcwbZtrrZ58JBhYacvWbZCmjdpLPn5+a7WAwTbXljk/73EVygFBaV/e2RXh0L+1gLhEENZFRSQSQWJxTGFROOYAscUqvs5Ki+vNKAdAMrCKg7KHrCzBKHH68gwQClCAAAAIKWkfMDAF2Mmyu0PPy17du8sj9xxnXRo21rWrFsvr779sYx852P56eff5PVnH5LMzIyq/qyACucrCZ9hwPl78GAEAAAAAABQQziDAbStb7f3HRkGdB7LssTj2dUXAAAAACB5pXTAwOKly+XWB5+SBvXryrMP3iq5uTlmupYluPOGy2XN2vUyfsp0+eiLsXL64CP9JQW2b98Rdn3btpdmE6iVu6v0QE6MZcxy20qfy80pff1YRo98KmLmgZKSEkacoMwsz0b/73m5OZKbW9o5kJOpIxAKze/pmZkcYyg3RsYh0TimwDGF6o7zFACgOrB8xaHlCIJ/twMLnFkHAAAAACQtR/hw6vly7CTx+XxywL69/MECTkcc1N88zvj1D/PYtElj87hqzbqw67OnN2+ym39as91Kl9mcv8Vf0iDick1L5wWqSpFjpIHXMbrA+btzHgAAAAAAUIM4ShJ4HG195+/B8wEAAABIbikdMGDfqK9dKzfs87Vrl07fvGWreezSsa15nL9wiRT5fCHz/zn3b/PYqUMb/7Q6ebWk2c5Ag7/mlT7vtHL1WtmwabMJFoi0HUBlKSreVZIgw1GGwPm7zzEPAAAAAACoQZyDAJwZBIKyCVgMFgAAAABSRkoHDDRqUM88/jFnftjnf/9rfsDI/5bNmkj7Ni1l+45CmTBlRsj834yfbB4H9esTMH3A/r3N47fjp4Qu833pMgP7Bi4DVAVfiSNgIN0T9vcixzwAAAAAAKCmliRwZBhISxPx7Gr7i3M+AAAAAEktpQMGDjpgX/M449fZ8s7orwKe+/WPOfLae5+a3w8b2M8//bzTjjePI14YKes27Kr3PmbCFPn+h2nSukUzOah/6XptZ59yrKSnp8m7n3xt1mtbvHS5/Pf198Wbni7nnHJsBb1LoGwZBrzaWRDmdx+jDAAAAAAAqJkcbXpPemBWAWcAQUAmAgAAAABJzSsprHvnDnL+GSfIq29/LPeNeFHeHv2FtG/TStasWy+//jFXSkpK5JTjDpe++/T0L3Pi0YfIxKkzZOzEH+X4c6+S/fbeQzZuypfpv/4h2VmZ8uBt14g3KI1bu9Yt5LrLhsijz74i5191q+y/T0/JyPDKlGm/mGwFw4ddLK1bNquCPQAEKirZ1SFAhgEAAAAAAJKLVRw+w0Dp3+n+zAIB8wEAAABIaikdMKCuv/x82Wv3rmb0/+y5C2TRkuWSm5sj+/TsLicfe7gcfeiBAfOnpaXJ43ffKK+//5mM/nKsKU2Qk5Mlhw7YX6688Ezp0LZV2NfRzASafeCVt0fLzFmzzbTuXTrKhWcOloFBJQyAqmBZlvgcGQZMwEBxmJIEjnkAAAAAAEAN4nNkGAga8OLxpom1w56PgAEAAAAgVaR8wIA6ZMD+5set9PR0GXL6CeYnHoP69zE/QHVUbFniDAUwZQiKw5QkcGQhAAAAAAAANUhAhoHgkgS7/rYoSQAAAACkjKDcYwBSVXDmgIglCcgwAAAAAABAjRQQCBBUksDj/JuSBAAAAEDKIGAAQNhAAG+aI2DA8TsBAwAAAAAA1FCOUgOeaBkGHKULAAAAACQ3AgYAhJQa8AQHDDhGGVCSAAAAAACAmslyZg7wBnULeh0BBGQYAAAAAFKGt6o3AED14Mwc4E33iMezK2DAGTxAhgEAAAAA1dEfcxbIlOm/yO9/zpPf/povq9esM9N/G/9R3Os64vR/yfKVayI+//Gop6V9m5Yh04uLi+WNDz6Xj74YK/8sWym5OdnSp1cPufKCM6R921ZxbweQcI6SBMEZBgJLEpBhAAAAAEgVBAwAMHwlVtgSBObvdE/Y+QAAAACgunhx1LsybtJPCV3n8UceFHZ6Xu3ckGklJSVy/Z2PytiJP0pe7VoyoG9v2bBps3w7fopMnDpDXn7yHtmjW+eEbh8QN2fmAGeAQHBJAjIMAAAAACmDgAEARpFj9IA3qNPAm5YWdj4AAAAAqC567t5FOrdvIz26dpIeXTvKEWdcKoWFReVa5/23DHM9r2YV0GCBNi2byatPPyCNGtQz0zVg4Lo7HpHh9z5pMhN4nWnfgUpm+Rxt+uAMA84SBT5HYAEAAACApEbAAICQUgPRMgwUkWEAAAAAQDV00VknVenrj3r3E/N47WVD/MEC6rCBfWVQ/z7y/Q/TZNwPP5m/gSrjyBzgCQ5ecQYQMFgAAAAASBlBuccApKqAkgSOAIHgv33FllgWZQkAAAAAwLZ0xSr5e/FSyc7KNKUIgh0+sJ95/H7yNHYaqpTlDAQIKUmw629KEgAAAACpgwwDAEJLEjhKEAT/raECxZYlXk9gUAEAAAAAJJtX3vpI/lm+UjIzMqRD29ZyyID9pEG9uiHzzZm/yDx2bNdaMryhXS3dOrc3j/MWLK6ErQbcZRgIKUlAhgEAAAAgJREwACCk1EC0DANm3mJLnKUNAQAAACAZPfHCqIC/H332f3LLsIvlxGMODZi+ctUa89ikccOw67GnL1+1usK2FXDF5yxJENSwd/xtOeYDAAAAkNwIGADgDwLwnxjSAgMEgv/WeXMy2HEAAAAAktOgfvvKvr16SPcuHaR+vTqydPkq+eiLsfLGB5/JnY8+J3Xr5snBB+znn79g23bzmJ2dFXZ9OdnZ5nFrQel8bgweMizs9CXLVkjzJo0lPz8/zncFiHiKfGK38LcV7pCCAkd73+fz1y717SjkGEOZFBQUsOeQUBxTSDSOKXBMoSacp/Ly8ir1NRkjDMDwlewqSZARVMdQAwY8EeYFAAAAgGRzy9UXyyED9pdmTRpLdlaWKTVw45UXyG3XXiqWZcmIF1+r6k0EysZRjjC4JIE4+wKc8wEAAABIamQYABCSYSC4BIHH4xFvusc/j3NeAAAAAEgVJx1zqDz98puyaMkyWbZitbRotpuZnptTmkFg+/YdYZfbtr00s0Ct3NL53Bg98qmImQdKSkoqfcQJksNWa1d7PjevtkhWadCAHk9FtTZL4c7n0sUjORxjKAfOUUg0jilwTKG64zyFmowMAwBiliRQGY5pBAwAAAAASEVpaWnSqnlT8/uadev905s2aWweV61ZF3Y5e3rzJqUBBkCV8RXv+j0ou6DHmXGg2DEfAAAAgKRGwACA0JIEaaGnBq+jI4GSBAAAAABS1eb8LeYxZ2dWAdWlY1vzOH/hEiny+UKW+XPu3+axU4c2lbadQFiOUgMBAQLK0e63CBgAAAAAUgYBAwBiliQw08gwAAAAACDFaUDAon+WS052lrRv3cI/vWWzJtK+TUvZvqNQJkyZEbLcN+Mnm8dB/fpU6vYCTpYOFHCUJBBvYMCAx/m3I7AAAAAAQHIjYACA4StxlCQIFzDgmOacFwAAAABqojc//EKOO3eoPPnSawHTJ0ydIT/OnBUy/5wFi+T6Ox8Vy7LkpGMOlYyMjIDnzzvtePM44oWRsm7DRv/0MROmyPc/TJPWLZrJQf33rbD3A8QUFATgCSpJEFCiwFm6AAAAAEBS81b1BgCoHoqKY5QkcExzzgsAAAAA1cGEKdPlxVHv+f8uKiotDXD25Tf7p1163qkyoO8+5veNmzbLoiXLZM26DQHr+f3PefL8q+9I86aNpXOHtpKTlSVLV6wyZQV8xcXSZ68ecs2l54a8/olHHyITp86QsRN/lOPPvUr223sP2bgpX6b/+odkZ2XKg7ddI96gEd1AZbKCgwBCShLs+tui3Q8AAACkDAIGABhFcWQYcM4LAAAAANXB+o2bZdbsuSHTndN0nlj69dlLVq5eK7//NV9++f0v2bKlQGrVypFee3STYw4bIIOPOljSg2+0agrHtDR5/O4b5fX3P5PRX441pQlycrLk0AH7y5UXnikd2rZKwLsEyqE4OGAgLXLGgeB5AQAAACQtAgYAGL7iXUEAmbECBhzzAgAAAEB1oDfy9cetKy44w/wE26tHV/NTFhpIMOT0E8wPUO04swakp4nHE9T2d2bAKLHEKrHEkxbaPwAAAAAguYTmHQeQkopKSsKWHwg3zeeYFwAAAAAA1LCSBEHZBZQnOHMGWQYAAACAlEDAAICQrAHObALhppFhAAAAAACAmpthICQ4IFwQAQEDAAAAQEogYABASEkCb5iUg85pBAwAAAAAAFCzWMXRMwxIUBCB5SO7IAAAAJAKCBgAEFKSICNMx4FzGiUJAAAAAACoYZwBAN7QDAMeHSjgHEBAhgEAAAAgJRAwACAkw0BGmAwDzmlkGAAAAAAAoIZxBACELUmgHNMtRwkDAAAAAMmLgAEARlGJoyRBepiSBI5pznkBAAAAAEASlCQwgQSO6T7H/AAAAACSFgEDAKTEssTnCALISAtTksAxzccoAwAAAAAAamxJgogZBpylCmj7AwAAACmBgAEAAcECKiNMhgHnNDIMAAAAAABQwzgzDHjTXJQkIMMAAAAAkAoIGAAgvuLAgAFvjICB4PkBAAAAAED1ZjkzBkTIMBBQkoAMAwAAAEBKIGAAgBQFdQKEK0ngdUwLnh8AAAAAAFRzvuLwgQGRMgw45gcAAACQvAgYABBQYiDNI5Ku/wtCSQIAAAAAAGqugBID3ggZBpylCihJAAAAAKQEAgYABJQYCJddoHQ6JQkAAAAAAKixHNkCPRFKEgSUKiC7IAAAAJASCBgAIEUluzoNvOmh2QVKp6eFnR8AAAAAANQAzgCAiCUJ0sJnJAAAAACQtAgYABCUYSB8wAAZBgAAAAAAqLkCAgAiZBjwOEsV+BgsAAAAAKQCAgYASFGJ5SLDgCfs/AAAAAAAoAbw7QoY8HjJMAAAAACgFAEDAKTIkZYwI0JaQud0X4klJRZBAwAAAAAA1BRWQEmCCBkGnNOd8wMAAABIWgQMADABAPGUJAheBgAAAAAAVHOOkgSeCIMFxFmSwFnCAAAAAEDSImAAgBQVx1eSQPkcywAAAAAAgGrOmTHAGRjg5AgksHxkGAAAAABSAQEDAAJLEqRFKEkQNN25DAAAAAAAqN4snyNjQIQMA4ElCcgwAAAAAKQCAgYASJGzJEGEDAPpaR5xViVwLgMAAAAAAKo5R+B/QGCAk9eRYYCAAQAAACAlEDAAIKC8gNcZFRAlywAlCQAAAAAAqDkCAgAilCQICCSgJAEAAACQEggYACBFJY6SBBHSEiqvI/uAcxkAAAAAAFDNOQIAPJHa/s7pZBgAAAAAUgIBAwCkyHWGAU/YZQAAAAAAQPVlWVZgAECkkgSO6ZajhAEAAACA5EXAAADxlViuMgw4n3MuAwAAAAAAqrHgLIGRShI4p/scAQYAAAAAkhYBAwCkyDFqIMNRdiBqSQJGGgAAAAAAUOPKEbgtSUCGAQAAACA1EDAAICBbgNuSBGQYAAAAAACgZrCc5QiilCTwOKcHLwMAAAAgKREwAECKiq24MwwUOpYBAAAAAADVWPDN/0iDBZyZB4qLxbJo+wMAAADJjoABAIElCdIinxacz/koSQAAAAAAQM0rSeBNF48nQsCA15FhQGMFHBkJAQAAACQnAgYABJQXiJZhwPlcEZ0GAAAAAADUvJIEziwCQTzBz1GWAAAAAEh6BAwACChJ4I2UljDoOR8lCQAAAAAAqBkcWQI96Y4sAsGCnrPILggAAAAkPQIGAEhRiaMkQZSRBs7nnMsAAAAAAIDqy/K5yzAQ8pxzOQAAAABJiYABAAHZAlyXJCDDAAAAAAAANS/DgDdyhgGPxxMYNECGAQAAACDpETAAQIpKnCUJIp8WnM/5HMsAAAAAAIBqrNiZYSBKSYKg5y3ncgAAAACSkreqNwBA1fM5Rgy4zzBASQIAAAAA4W3bvkM+/Oxb+WHaL7Ji1WrZvqNQvnzrBf/z+Vu2yoQpM8xo5qMPPZDdCFQwy9mGj1aSQLMMpKeJf4gAbX8AAAAg6REwAKS44hJLnNUFvGmRAwacz1GSAAAAAEA4f81bKMNufVBWrVknlmXtSnPuULtWrrz02nuy6J/l0rBBXdlv7z3ZmUBF8u3KFOCJlWHAUbLAciwHAAAAIDkRMACkuODSAhlRRho4n6MkAQAAAIBgGzdtliuH3ydr1m2Q7p07yFGHHCAvjnpXthZsD5hPAwhOOuZQefz5kfL9D9MSEjDwx5wFMmX6L/L7n/Pkt7/my+o168z038Z/FNd6NudvlYlTZ8j4ydNk1uy5smrtesnM8EqHtq1MNoTTBx8lGd7Q7pRbH3xKPvlqXMT13n7dpXLaCUeW4Z0B5RdQWsAbT4YBAgYAAACAZEfAAJDigksLZETJMOB8jpIEAAAAAIKNeu9TEyygAQAvPnaHpKWlyatvfxwSMKAO3L+3CRj49Y85CdmRGpgwbtJP5V7Pq++Mlv++9r4JaujasZ3s0b2zbNi4SX7+/S/57c958u33U+SFx+6UnOyssMv337eXNGxQL2R621Ytyr1tQJk52v4xMww4n6ckAQAAAJD0CBgAUlxwpgBvepSAAcdzZBgAAAAAEGz85OnmRvt1l51nggWiade6hXi96fLP8pUJ2ZE9d+8indu3kR5dO0mPrh3liDMulcLCorjXk5udLReceaKceeJR0qxJY//0xUuXyyXX3SUzf/tTXhr1nlz9r3PCLn/RWSdJn149yvVegIRzZgqIklkwOANBQGYCAAAAAEmJgAEgxRUV7woYSPd4JC2otqiTNyDDQGCgAQAAAAAsXb7SpOvv2qldzJ2hgQW1c3Mlf2tBQnac3qhPhIvPOTns9DYtm8s1/zpXbr73Cfly7MSIAQNAdWT5HNkFvdEzDARkIPARMAAAAAAkuxghxQCSXVFJSdgMAuFkOEYhOJcDAAAAAGVZlqSnp5lgADfzFmzbHjG1f3XUpWNb87h63fqq3hQgPo5MAfGUJLAoSQAAAAAkPTIMACnO58gUEDtgwFGSgAwDAAAAAILs1qiB/LN8lazbsFEa1q8Xdf/8/tc8KSwqkvZtWtaoDAqqUYP6EecZM2GqfDt+ipSUlEiLZrvJwH59atR7RHIKuPEfqySB83lKEgAAAABJj4ABIMUVlewKGPDGqDHqfN65HAAAAACoffbqYQIGRn/5XcwSAc+/+q7JRLD/Pj1rzM57/f3PzeNB/feNOM+bH5bOYxvx4mty2glHyPCrLhZvjFTwQKVkGIhVksD5vLOUAQAAAICkRMAAkOKKHKMM4skw4FwOAAAAANQ5pxwro78cK//3+gfSvXMH6RsmGGDt+o3y6LOvyKQfZ0pmRoaceeJRNWLnvfvxVzJ1xq+SV7uWXHR2aDBEt07tpOfuXWS/vfeQJo0bmvc5aepMefrlN+Wd0V9JRkaG3Dz0QtevN3jIsLDTlyxbIc2bNJb8/PxyvR+kFs/2QrFb9NuLCmX7zuOnoKAgdN7iYv+8hdu2yw6ONcQh3DEFlAfHFBKNYwocU6gJ56m8vLxKfU0CBoAUF1CSIC1GwIDjeU0wUFxiSXqMZQAAAACkjo7tWsuwi8+RJ196TS678R7p2qmdbNm61Tx30z1PyIpVa2T23AXi85WOdr75qoukWZPGUt3N+HW2PPT0yyYjwr03DzWlF4Kdc8pxAX+3bNZEzjjxKNlnr93ltEuul7c//EKGnHa8NN2tUSVuObBTibMkQbr7kgTO5QAAAAAkJQIGgBQXUJIgRh3D4Od9BAwAAAAACHLhWSdKvbp58thzr8qfc//2T/963A9iWaXtDx2lr6Ptjz/yoGq//+b9vViG3fqgFBX5ZPiwi+WQAfvHHUQxqF8f+Xb8FJk6Y5YMPupgV8uNHvlUxMwDJSUllT7iBDXbNr33v/P3nFq54g06fpzHU2FuthTt/N3rSZNsjjWUAecoJBrHFDimUN1xnkJNRsDATus3bpL/vfmRjJ88TVasWitZWZnSoulusl/vPeT6y88P2XHf/zBNXn1ntPw1b6H5u1vn9nLBGYNlQN99Iu7s+QuXyHOvvC3Tf/lDCrZtl1YtmspJxxwqZ598jKTFqB0PVEpJgjgyDNjLZnk5dgEAAAAE0rbukQf1l28nTJGff/tL1qxbL8XFJdKoQX3ptUdXOXxQPxM0UN0tXbFKLr3hbtmcv0WuuOAM034vizYtm5vHtes2JHgLAXcsnyNTgDdWhgHH85QjBAAAAJIeAQMi8secBXLZjXfLxk350rFdKznogH1ly9YC+XvxP/Lae5+GBAzotEee+Z9409Nlv957SmZmhkyZ9otcOfx+ueXqS+Ssk44O2dG//P6XXHLdnbJ9R6Hs0a2TNG+6m0lpqOvR5x676waT2hCo2gwD0Y/B4OedywIAAACAU25ujpxw5MHmpybSIId/XX+XrFm3Qc455Vi5/PzTy7wuDThQOdlZCdxCIA7FpWVAlCdGdsGA5x3LAQAAAEhOKR8woJkFLr/xHtmxo1CeeuAWOaj/vgE76Lc/5wb8vXDJMnn8+VdNkMDLI+6RvXp0NdMX/bNMzr3yFnn0mf/JAfv2ktYtm/mXKfL5ZPh9T5pggRuvvEDOO+14M72gYJv864a75ZvvJ8vHX41znZYQSCRf8a6b/hkxOg3SPB7xpnlMKYLgZQEAAAAgWWzK3yKX3nCP/LNspWmr3zT0wjKvq7CwSCZMneHPTghUCWemAGcGgXAcGQgsAgYAAACApJfyucSf+9/bsmHTZrnusiEhwQJqj26dA/5+4/3PTBrF044/wh8soNq2aiGXnHOK+IqL5fX3PwtYZuyEH2XZilXSpWNbf7CAPdri39dcYn4f+c7HFfDxArEVlbgvSaA0YCDcsgAAAABQk7z54Rdy3LlD5cmXXguYvm37Drny5vtk3t+L5YiD+stdN14RMyPg34uXyqdff2+CA4IHKdx49+OycvVa0yfQa49uFfJegFgCbvzHKEngcQYUOEsZAAAAAEhKKZ1hYPuOHfLZt+MlJydbBh/tbnS/PSrgsIF9Q57TGoyPPvuKjJ8yzR8IoCZOnb5zmX4hy3Tv3EFaNm8i8xcukWUrVkuLZruV4x0B8XNmCYhVkkBlpHtkuy90WQAAAACp5faHnk7IevRm/D03Dy33eiZMmS4vjnrP/3dRUWnD5ezLb/ZPu/S8U2VA333M7xs3bZZFS5aZkgNOT/3fG/LrH3MkPT1N0tPT5Y5Hng37evffMsz/+7r1G+XfD/xHHnr6Zdm9SwepX6+urFm7XmbPXSBbC7ZJk8YNKUWIquW48R+rJIFQkgAAAABIKSkdMPDHX6UN97336CbZWVkyceoMmTL9VzMioE2r5mYkwW6NGvjn35y/VVasWmN+79opNI1g090aSf26dWT5yjWyZWuB1K6Va6bPWbAoaurBbp3ay9Llq2Tu34sIGEClK3KkJcxIi510xGvmKQ5ZFgAAAEBq0dJ6erPfskIDiWONyLfpsokKGFi/cbPMmh1YVlA5p+k8sWzO32IeNbvgF2MmRJzPGTCgfQjnnHqczPpjjsz7e4ls3JwvmRleM31Qvz5y9inHSt282mV4V0D5WVpWsCSOkgSO5y3a/QAAAEDSS+mAgQWL/zGPDerXlWG3PijjJv0U8PxT/31d7r5pqBx96IHm7xWrS4MF6uTVltyc7LDr1FEDWuJAgwY6d2hTutyqtf7nwi6zWyPzqMsAla1IOw4c2QNicc7jXBYAAABAajnuiEHikfBtiHE//CT5W7ZKVmaGyaxnt4dXrV0vf85dINt3FEqdvFoyqF9oacCyGnzUwebHrSsuOMP8hAsEcAYDuKGDDW4eemFcywCVpqQ4MKDHG32wgMdZssAXuCwAAACA5JPSAQP2qIHvf5gmaelpcus1/5LDD+on27fvkLc++kJefftjufXBp6R9m5bStVM72bZtu5k/Ozsr4jpzckqfK9i2zT+tYOdyOVnhl8vZub6Cgl3LRDN4SPiOiyXLVkjzJo0lPz/f1XoAtW3HrhqbxUWFAcdPQUFByE5Kk11BAvlbCyQ/n6ABuBfumALKg2MKicYxBY4pVPdzVF5enlQXkW6q33TPEybr3sVnnyQXnnWSP/ueTTP9vfzmh/LyGx9Kkc8nD99+bSVtMZCiHOUI3GUY2BVQQIYBAAAAIPnFzj+e7CnZTLB0sVx5wZlyxolHSYN6daV5093k+svPl8MH9ROfzyevvD26qjcVqDC+ODMMOAciOJcFAAAAgPc//Ua+HveDXH7+6TLsknNCggVUrdwcGXbx2Waer76bJB989i07DqhAVnFxxICAcDzOgILgZQEAAAAknZTOMOAsKzD46NC0hZrK8JvvJ8v0X/8wf+fsnF8zEESybVvpc7k5OQGvo9kMtu0Iv9y2nevLzd21TDSjRz4VMfNASUlJtRpxgurP8mzy/14rJyfs8eOclp2hNT9LsxKkZ2RxvKFMOE8h0TimwDGF6o7zFFLFR1+MlTSPR8499biY8+o8L458Vz78fIycfOxhlbJ9QEoqdmQY8HjEkxZj/JAzoKC4RCzLEo8n9gADAAAAADVTSmcYaNa0sb8kgGYWCNai6W7mcf2G0huqzXYrnV9v/ttlBoKtWrPOPDbfuW6zXJNGAc+FLLN6bcgyQGVxZgnIdJFhwJmFoIgMAwAAAAAcFi5ZKrVr55osArHoPLVq5ZhlAFQcy+fIEuCNUY4g3DzOgAMAAAAASSelAwa6dWpvHrfvKJTCwl113G2b8rcEZCKok1dLmjUpvan/17y/Q+ZfuXqtbNi02dz4d6Zd7NKhrXn8c27oMmb6znV1bl86H1CZiop3BQx4Y6QlDJ7H51gWAAAAAEpKLMnfslU2bc6PuTN0ni1bC8wyACqQ44a/x0W7P2QeyhIAAAAASS2lAwb05n+Xjm1NajW77IDT9F9Kp3Xr1M4/bcD+vc3jt+OnhMyv5QvUwL59AqYfuP8+O5cpfd5JgwiWLl8lHdu1lhbNSjMaAJXJV7Kr4yAjzUWGAcc8RY5lAQAAAKBzhzZiWSIvjHw35s54YdR7JligU/s27DigIjlv+Ke7yDAQNI9FhgEAAAAgqaV0wIC64IwTzeNjz70qa9at90//a95CGfnux+b3U48/wj/97FOOlfT0NHn3k6/l1z/m+KcvXrpc/vv6++JNT5dzTjk24DUOGbCftGjWRObMXySj3v3EP13LGtz/5Evm9yGnn1CB7xJwm2EgdsCAcx4yDAAAAABwOu2EI01Q/psffiG3Pfi0/LN8ZcgOWrpildz+0NPy5gefm7ropw8+kp0IVKCAG/4uMgyIDhRwdg+QYQAAAABIal5JccccNkAmT/9FPvlqnJxw3jDZq0dX2bFjh/zyxxxTpuDkYw+TIw7q75+/XesWct1lQ+TRZ1+R86+6Vfbfp6dkZHhlyrRfTGmD4cMultYtmwW8RobXKw/ddo1cct2dZrmvx/1gshvMnDVb1qzbIIcN7CsnHHlQFbx7IDBgICMtdseBc54iRhkAAAAAcDj2sIHy44xZ8vFX4+TTb743P013ayi7NWponl+9dp2sXL3O/K6BBccdMcgsA6AC+XZlGPB4Y2cY0EAek2XAXs5HdkEAAAAgmaV8wIC6b/hV0qtHV3nv029k+i+/a8tIunVqL6cef7iccOTBITvtvNOOl9Ytmskrb482N/1V9y4d5cIzB8vAfoHlCGwaiPDWi4/Kc6+8LdN++d1kG2jVoomcf8Zgk5HANMaAqi5J4CLDgHOeImqNAgAAAAhy7/CrpGvHdvLCqHdl0+YtsmLVWvPjVCevllx63mkhGfoAJJ4VUJLAZbJRR8BAwPIAAAAAkg4BAzsjp0857nDz49ag/n3MTzw6tmstT9xzU/yfElBBdERPQEkCTTsYg3MeShIAAAAACEfL+Wl5v8nTfpE/5syX9Rs2mekN6teV3bt0lL779JSsrEx2HlAZAkoSxM4woDzpaeLvLSC7IAAAAJDUCBgAUpjGClgB2QNclCRwzEOGAQAAAACRZGZmlCnYHkCCOTIEeLwuMww4ShdYjpIGAAAAAJKPy1YCgGRUFDRKIN4MA8HLAwAAAACA6sXylS3DgB8lCQAAAICkRsAAkMJ8JVZQ9oDYAQOZjnmClwcAAAAAANU4w4DLgIGAwAIGCwAAAABJjZIEQAor0poEO3ncZhhwliRwLA8AAAAAF11ze9w7wePxyP+NuIedB1QQy3nD30UpQsNRusAiwwAAAACQ1AgYAFKYr2RXp4EGC2hHXSwZjqAC5/IAAAAAMO2XP1ztBLvtYVmWq3YIgHLw7cowIF63JQkc8zlLGgAAAABIOgQMACnMmSHA66IcQfB8ZBgAAAAA4HT5+adH3SH5W7bKb3/Ok1//mCP16uTJaSccIeluU6QDSEBJApcZBhzzkWEAAAAASG4EDAApzHnDP8Nlp0FGGiUJAAAAAJQtYMD248xZcu3tD8vfi5fKE/fcxO4EKq0kgcsMA85MBM7lAQAAEKJOnTpx7ZU2bdrIokWL2JNJZs6cOfLFF1/ITz/9ZH7+/vtvM33hwoXStm3bMq1z27Zt8uCDD8rbb78tS5YskQYNGsiRRx4p9957r7Ro0SJh207AAJDCnCUFnKUGoslwZBigJAEAAACAsthv7z3l5qsukjseflY++OxbOfnYw9iRQGVkGPC6zTCQHr6kAQAAAEKcddZZkpGRETBt0qRJsmDBAunZs6fstddeAc81atSIvZiEnn/+efnPf/6TsPVt375dDj74YJk6dao0a9ZMTjjhBBNo8sorr8hnn31mprdv3z4hr0XAAJDCAkoSuAwYcM6ny1NzFAAAAEBZHHnQAXLXo8/Lh5+PIWAAqECWL/4MA4ElCcgwAAAAEM0LL7wgeXl5AdPOP/98EzAwePBgueuuu9iBKWCPPfaQm2++Wfr06SP77LOPHHHEESbrQFndd999Jiigb9++8s0330jt2rXN9CeeeEKuv/56ufDCC+X7779PyLYTMACksCJHo991SQJnp4EOVLAs8XrcBRsAAAAAgC0rK1NysrNMWQIAlZNhwBkIEI3HGVjgXB4AAABAWBdddJEkSmFhoTzzzDPm92effdYfLKCuu+46GTlypIwfP15mzJghvXv3rh4BA8+/+o5UlzqIANwrKrHClhqIJng+zTLgNqMhAAAAANhWrVknW7YWSG5ONjsFqEiOwQIer8sMA46GvkVJAgAAgIR59dVX5YILLpA777zTlDK44447ZNy4cbJmzRr58MMPTUYCrXe/ePFik+E5mI4oP+igg2TIkCFmXU46v9a6/+9//ys///yzbNu2Tdq1ayenn3663HTTTZKbm+t6Oz///HP54IMPZMqUKbJs2TIpLi6Wjh07mnXp6PasrKyI7+vcc8+VW265Rb777jtz47t///7y+OOPS/fu3cXn88kjjzxi5l+yZIm0bNlSrr32WrnyyisD1qep93XbBw4cKJ988oncfvvtZv/oftLp//rXv+Tqq6+WtLTkvEH1ww8/yKZNm6RDhw7Sq1evkOdPOeUUmTVrlnz66afVK2DAU0EjjO105wQMAInnK2dJArMOR9ABAAAAALixfccOuW/Ei+b3Tu3bsNOAChRww99lSYLADAOUJAAAAEg0TVWvqesbNmxoAgA2bNggGRkZZV5fSUmJnHPOOfLWW2+Z0eiaEr9+/foyffp0ufvuu+XLL780wQY5OTmuR8trwEGPHj1kzz33NDevf/rpJ7n11ltl7NixJkV+ephry4ULF8q+++4rTZo0kUMPPVRmz54tX331lRkJrze4L7vsMn/QQ/v27U2wxNChQyUzM1MuueSSkPXt2LFDDj74YFPeQR81AEFfX0fZ//rrryFBE8ni119/NY9777132Oft6bpPEyEhAQPHHTFIPEJKcqBmZxhIcx0woN92y5FhAAAAAADcZCAsLCySlavXyuRpP8vGzVvMAIEzBh/FzgMqK8OAy7Z/QOkCShIAAAAknGYC0BvlTz75ZNgb7/HSEfwaLDBo0CDz2LRpUzNdb7BfccUV8vLLL5vAgYceesjV+l588UU5/PDDAwIM8vPzTVaEzz77TN544w0577zzQpYbNWqUDB8+XB544AHT3tOB4RdeeKG5sX/IIYeYjADz5s2Txo0bm/n15r8GFtx///1hAwamTp1qAhZ0mUaNGplpGjwwYMAAk5ZfMzLojxt25oZ4jBs3zuzTyqbZF5RmYAjHnh7v+6nQgIH7bxmWiNUAqGRFjk4DtxkG9ASv89rBBs51AAAAAEhtbjMQaqdRWppH/nXuqXLMYQMqZduAVGU5b/i77Yx2zGf5aPcDAAAkmt4wf/jhhxMSLGCn+a9Vq5YJRNDR/TYduf/000+bEgMvvfSSuZHvJo3/CSecEDItLy9PRowYYQIGPv7447ABA5o14J577vG3C/VRSw5owIBmGxgzZow/WEBpEIGm3NcSClqGQG/qB3vsscf8wQJK0/RriYLLL79cnnnmGdcBA5rGf+3atRKPpjsDLyrbli1bzGOkMhL6WdtBHNUmYABAzeQsJ5CR7j5LiM5rBwxQkgAAAACArXfP7lEzEGpnWJ28WtKlY1s54qD+0qZlc3YeUNGcJQm87jIMeLzOkgSO5QEAAJAQOqo+0s3geM2cOdPcCD/ssMMCggVsmiVA69xr0ICO1O/SpYur9eq8X3zxhcyfP1+2bt1qyh5o8Lf9XDg6Gj+4tIIGESidHm60vj6vAQMrVqwICRho0KCBeV/BzjzzTBMwMHnyZLNdboIgNPAAFRwwMP3XPyTD65Weu7s7yABUPWc5gQwXJ1ObV1MTFpWOMKAkAQAAAADbK/+5j50BVOuSBG4zDOzqI7DILAgAAJBwrVu3Tti6dGS++vbbb2NmfNPAglgBAxoUcMMNN5hsAnaAQLBII9tbtGgRMq127dr+0frhMirYz+/YsSPkuTZt2oR9nbp160q9evVk48aNsmHDBmnYsKEkk9o790lBQUHY5zWAw876UK0CBi68+nZp3LC+jP3g5UStEkAF85U4ShLEk2HAUb7AuQ4AAAAAAFB9WNpmd3byOgIBogkILCDDAAAAQMJlZ2eXaTkdTR9pWseOHaV///5Rl3dzY/2dd96RJ554Qlq1amWCBvr27WvKCGiGgMLCQsnKyooYSBBtpL+bLAAVSYMg4i1JMHz4cOnatatUVUDJ0qVLwz5vT48UUFGlJQkiHRwAakKGAfcBA17HvGQYAAAAAGB7/tV3JDcnW4acHlrvMpw33v9MNm/ZKpeffzo7EagIQdkBypJhIKCkAQAAACpcZmamv469PdLc9s8//4TM37JlS/OoN7ZfffXVcr/+Rx99ZB6ff/55OeaYYwKe+/vvv6UyLVmyJOz0zZs3m+wCWm5BMw248f7778vixYvjev3zzz+/SgIGevbs6S83EY49fc8990zI61VtKAeAKlXk6DjIcDnKIHhe5zoAAAAApDYNGBj5zseu53/tvU/lhZHvVug2ASkt+Ga/12XAgGM+ShIAAABUrmbNmpnHuXPnhjynZQeC9enTx6ToHz9+vKxfv77cr68p/p2BCE7vvlu57bd169bJ2LFjQ6a//fbb5lGzH4QrcxCpdIMOfo/nZ9CgQVIVNFOEfqYLFiyQX375JWzwgzruuOMS8noEDAApzFdila0kgWPeIsc6AAAAAABA9RFys991SQLHfJQkAAAAqFQDBw40jw8++KAUO67F3nrrLfMTTEsE3HTTTZKfny8nnXRS2CwAy5Ytk9dee83V63fu3Nk8vvTSSwHZ5SdOnCiPPvqoVEUpAQ0csC1cuFDuuece8/uVV14pNdlHH31kMhicd955IVkmhg4d6n+PW7du9T+n5SJmzZpljpPevXtXv5IEAFKvJIHPsQ4AAAAAiMem/C2SlZnBTgMqivNmf1qaeDwu2/7OUVolllgllnji6DcAAABA2ekN4hdeeMGMIu/evbtJOz9v3jz5/fff5eqrr5YRI0aELDN8+HD566+/TFBAt27dpFevXtKuXTspLCyUOXPmyOzZs816zj333JivP2zYMFPa4LnnnpPvv//eLKcBB5MmTZLrr79eHnvssUr7ePfff3/zHjp27CgHH3ywFBUVmYwDBQUFcs4555gAiepi5syZcsUVV/j/tssfnHjiiSaoQ1188cXmx7Zp0ybz+TRt2jRkfbfddpuMGTNGJk+eLJ06dZIDDzzQrPPHH3+Uxo0by//+97+EbTsZBoAUVlSSgJIEjnUAAAAAgFtfj/tBthZsk6a7NWKnARXEcpYk8Lpv93uC5yXLAAAAQKVp0qSJTJgwQY499lhZsWKFfPnllyY9vZYjOP7448Muk5aWJqNGjZKPP/5YDjvsMDMK/4MPPjA3+bOzs+XGG290fYNZMwxMnz7dpLtfu3atfPLJJ7JlyxZ58cUXKz3DgN5o/+677+Sss86SqVOnytdffy2tWrUyQQsa1FCdbN682dzMt3+2b99upmtJAXva0qVLXa9PP7dx48bJ7bffLrm5uTJ69GgTMHD++eeb4IT27dsnbNs9ljOXRDnsOegkSU9LkyblaOhrkPOXb72QiM1JSYOHDJOSkhL55LVnqnpTUEM898NiWbWl0Px+Zq9m0nW32gHPa/oalZeXFzD9w99Wyq/LS58b1KGBHNSxYaVtM2q2SMcUwDGF6oLzFDimUN3PUdXtOur19z+V19//3P/38pWrY/cNWJZs3rLVBAuoc089Tm644vzK2NykQNsf8ShevUG2f/uT+d2TkyW5Jw1yde1jFfmk4N1dtWJzTz5IPNmZ7HzExPU0Eo1jChxTqO44T1WMRYsWmQwJmnZfsxykkvwqaPsntCRBiWWZzoGycp0WDUBCFJVYYcsMxFWSwLEOAAAAAKklf0tBSD9AcUmJ676B/fbeUy4bcloFbR2AgMwAcWQWDChJoAEExcVCrx0AAACQnBIaMKB1Bw8f1D+RqwRQgXzFVtlKEqQ5ShI41gEAAAAgtRx8wL7SvGlj87vmL7zj4Wekdq1cufmqCyMuk+ZJk1q1cqRTu9bSqkWzhG3LH3MWyJTpv8jvf86T3/6aL6vXrDPTfxv/UZnWtyl/izz/ytvy3aSfZO36DdKoQX055MD95PLzz5A6ebXCLlNcXCxvfPC5fPTFWPln2UrJzcmWPr16yJUXnCHt27Yq1/sDysIqLokYBBCNRwcK6I89SMC5HgAAAABJJaEBA9opcN8tVyVylQAqUJGjwR9XhoF0T9h1AAAAAEgtXTq2Mz82DRjIzsqUE448uNK35cVR78q4SaWp18trw8bNcs4Vw2XJshXSsnkTOfiA/WTBoiXy+vufyaQfZ8rrzz0kdesEpojUEoHX3/mojJ34o+TVriUD+vaWDZs2y7fjp8jEqTPk5SfvkT26dU7I9gGu+XZlGPB448gwYAcYlPjMr5ZjPQAAAACSS0IDBgDU3JIEGY4ggFic81KSAAAAAIBt1vcfVtnO6Ll7F+ncvo306NpJenTtKEeccakUFhaVaV0PP/OyCRY4dMD+8uidN4jXWzoy+8H//J+8+eHn8sizr8j9twwLWEazCmiwQJuWzeTVpx+QRg3qmekaMHDdHY/I8HuflI9HPe1fF1CdMwwoT3qaWEVhShsAAAAAFaxt27ZiaRo7VIo4Q4sBJAs90Tpv9jvLDMRXkoAMAwAAAACq3kVnnSRDLzpLBvXvI40a1i/zetasWy9fjp0kGRleufXaSwNu8F9/+RBpUK+OfP7teFm3YWPAcqPe/cQ8XnvZEH+wgDpsYF+zTRqAMO6HxGRAAFxz3Oj3xBkwIM7gFtr+AAAAQNIiYABIUcGZAZxlBmJxzkuGAQAAAADJZNKPP5vyAnvv2T3gxr/KzMyQgf36SHFxiUycOtM/femKVfL34qWmHIOWIgh2+MB+5vH7ydMq4R0AEv5Gf9wlCXbNT0kCAAAAIHlRkgBIUUXFgQEDGWlxlCRwzBu8HgAAAACpoedBJ5vHdq1byOiRTwVMi4fHI/LLdx9IdTF3wSLz2L1T+7DPd+vc3pQfsOdTc+aX/t6xXWvJ8HrDLqPmLVhcQVsNhBdwoz/ukgTp4m/xk2EAAAAASFoEDAApqqgksJRAhmPkQCzOeYPXAwCVaV2BT+pmUwcYAICqYNeTdNaVLFuNSffBy5Vhxao15rFJ44Zhn7en2/OplS6XWb5qdUK2UfezVWIXl3fB4xWPRmY41xHP8pImnrTAay7LKhGx4qhr70kXjyew3WmV+PT/blcgnjRvNdwGS+/Kx7ENaeLxBO3LEn0P7tvWnrSMkGmRPk/LVyiWZ+e60+3jJtznWawrCZyWLv5lS3w7Al8j7DGVDJ9nIrahfJ9nQo6pMJ9n9HVwjkjVc0R47s4R0TcigecILa2yrVCs2rU4R3COSMwxVa3+3eEckVyfJ9cRu/YlbY1EHFOVKWGv/NXbL0haHDXQAVQtnyMzgCYMSI8nw4CzJAEZBgBUkTFz18rEhRukTlaaXD2gtni5DgEAoFK9/OQ95jEnKytkWk1WsG27eczO3vW+nHKys83j1oJtZVimdD43Bg8ZFnb6kmUrpHnjerJ+4beu15XRqG9I51PR2ik7O7BiS8tuIt46nQOmlWxfJb7Nc91vQ4Ne4vHWDtyG9T+L5dvibhsy64q33p6B21C4UXwbf3O9Dd663SUtKzCow7dptpTsWOdqeU96tmQ07BMwzSreLkXr3JeaSK/dXtJzWwRMK97ytxQXLHO9jszdDgyZVrh6Yvht3rFRpH5+6TzWetm6cJl5fd0OVVBQULoNBcvMdgQsm7VGpH7pMbtjY77Iwl2fn+4H3R9Ouh90f7ihn4N+Hk76Oejn4Za33h6SlhlYNsS3cZaUFG5ytbwej3pcOunxqMel622o09l8PwK2YfNc8/1wtQ1pXvP9DNiGEp/5frqVXqu1pNdqEzCteOtiKd66pErOEfYxxTmiZpwjwm6D4xzh34Yw54hoEnaO0CwpY2ZIWqFPNneuI74GG1xvA+eI6nmOsFXlOcJ/nuI6ouafI6rJdYR9THEdkRznCFtVniP0mMrLy5MaGTBw4TV3SMP6deWN5x8Oea6gYJuUWJbUrpWbqJcDUE5FJbsCBrxxBAsEz+9cDwBUpl+Xl3Z8bt5RIos3bJcODbnOAACgMvXZq4eraQCqkLPNHmfbP2D+MmUPAYByWrvJBAsoz8oNIg3YowAAVOuAgeUrV0thYWHY5445+0rZsGlTtapJCKS6Ikf9wXjKEQTP71wPAFQWTdlWULQrzdi2wjhSjgEAAESRm1M62mn79h1hn9+2vXTkU63cnDIsEziSKprRI5+KmHmg2LddshyZHWKplVc7JEX11vwssUrclXby5uRIdtAIl6K0fNmxw/025NSqLemZgesoKMiSkiJ36UrTs3IkJ2gbinf4ZNs299uQXauWeHMC17G9MEd84m4dnvQsqRW0DSU+rxRscb8Nmbm5khm0jh3FOVJU7H4dtcOMNtqyKfzyPo/Hn8g83Zsh6VlZkpGTI1lB68iSHVJYFLgOX3q6f1nN5qXL2nJr15Y0767vgNq6JUssl1kIwx1TPu922b49jmOqdm1Jzwpcx7btOVLscTk6MSNLcoOPqUKRbVvdb0NWbq5k1Ao6popyxGe5PKbSvCHHlKbw1e9neY6pQitXCn1Ve47ITivmHFEDzhHhhDtHFEpuyDkimkSdI4pWbxL7joPHVyxZWe4HCnCOqN7niOpwHZGbmcl1RA0/R1S364jcLK4jkukcUVwN2hqVqdKKIRCIDFQvzlICGXGOMnDOT0kCAFWhqNgSn2O0lDN4AAAAoDyaNWlsHletCZ860p5uz6eaulymeZPdEvPheDKkVvMBccwf2v2T27RfHC8YGmTuzW0q3pzGcWxDaIdhTuPecdX0DNmqzLpx7ofQbciq312y6pd9GzR1aHzbELovM+t0kMw67aQ8Im3D9oWzpHjDavN7RquOktm8bdjPM6N2C8mo1Sxg2o6ls8W3YXnp803bSmbzjtGPqSb7levzTM9uWO7PM7vhnuU7pjJqlf+YqtdFsup1cr+OkHV6y31MZeS1kYzareJ6zWCcI1LjHBGeu3NEVAk6R1g7dt3o8RRkSG7TA8Xjth+Tc8TO/cA5wnlMOXEdUfPPEU5cR+zat1xHJE9bIykDBgBU45IE6XGWJHDMT0kCAFVhW1CAwLYisp0AAIDE6NxBb6iKzJ4Xvg7rn3P/DphPdelY+vv8hUukyOeTDK837DKdOgTWEC4rj8cTMtIv7nWUd3m9ARHmJkR82+BNgm3wmACO8m2Ddi6ml3Md4bfB4/OIxyrdR2kZmZHn0w7OoE5OT3qGf1kpiX3MJcfnmYhtKN/nmZBjKsznGfc6OEekxDmico+pMuxLZ8CA/les98LK/l44R+zcD5wjqtG/O5wjkuvz5Dpi176krZGIY6oy1ZwtBZBQPmdJgrQ4SxI45tcRviWWJWl6cQMAlaQgKECADAMAAFS+ngednJD1aFOiOpUwPGC/XpKWliYzZ82WdRs2SsP69fzPFRYWyfjJ0yQ9PU0O3H9v//SWzZpI+zYt5e/FS2XClBlyyIE6QmqXb8ZPNo+D+vWpxHcCiFjFjkDb9Phu9nmc81OOEEAVsAoDU0lrxgFPViafBQAACVa+cBsAkuoZBpQzLTgAVE2GAUoSAABQ2SzLStBP1Xx2b374hRx37lB58qXXAqY3bthAjjrkACkq8sn9I14Sn2/XdcYTL4yU9Rs3yzGHDQwIJFDnnXa8eRzxwkgTaGAbM2GKfP/DNGndopkc1H/fCn9fQABHwIAnPc5uQOf8zsADAKgkzpIE4QIIAABAYpBhAEjh+t+2jDgDBoLn9xVbklm+rGQAEBcCBgAAqHovP3mPVCcTpkyXF0e95/9bb/irsy+/2T/t0vNOlQF99zG/b9y0WRYtWSZr1m0IWdfNQy+SWbPnyrfjp8jx5w2V3bt0NOUG9KdNy2Zy05UXhCxz4tGHyMSpM2TsxB/l+HOvkv323kM2bsqX6b/+IdlZmfLgbdeI10vDCZXMmRkg3uPPMb/lowQYgMpnFRZGDSAAAACJQcAAkKKKShJTkmDXuuj4AlB1JQm2Bf0NAAAqXp+9elSr3awj//UmfzDnNJ3Hjfr16shbLzwiz73yjnw36UcZO3GqyShw9snHyBUXnCl18mqFLKNlDB6/+0Z5/f3PZPSXY01pgpycLDl0wP5y5YVnSoe2rcr5DoH4WY4MGQEZA+IuSUCGAQBVIDhAgAwDAABU/4CBDRs3y5FnXBYyXaP2VbjngusWfvnWC4ncJAARaFaAspYkSE/zSJpHxK5E4FwXAFRFhoGCQjowAQBIdYOPOtj8uHXFBWeYn0jq1smTW66+2Py4lZ6eLkNOP8H8ANUtw0BAAIAbjgADy5mpAACqqiQBGQYAAKj+AQPFJSWyfOXqiM9He055NGIAQKUosu/2m4wB8X/3vGkeKdwZKOBcFwBUTUkCOjABAACAYFZx2TMMCBkGAFQxKyijQPDfAACgmgUMHH/EQYlaFYBKUOQYHZARb6fBzmUKd3Y8ONcFAJUhOKOABhCUWJakEXwIAEC1YFmWjJkwVb4cO1Fmz1kg6zduMtMb1Ksr3bt0kKMOOVAOOXA/k8YfQAXyOTIMeOPLMODxOr6fztIGAFBZJVWC+hytHYXsewAAqnPAwH23XJWoVQGo7JIEZcgw4MxKQEkCAJUtOKOAntF2+EokJyPONKsAACDhVqxaIzfc9Zj8/td8f/CAbfmqNbJi9VoZO/FH6d65vTx+943SvOlufApABTDfvYAMA/GWJNg1PyUJAFS2cNkEKEkAAEANKEkAoIaWJEgvQ0kCxzKUJABQ1SUJ7GkEDAAAULXyt2yVC4bdZoIC9GblXj26yL699pDdGjc0z69es06m/fy7/Pz7X/LHnAVy4TV3yHv/97jk1a7FRwckWnD5wDizC3qc8zsDDwCgMuwIU36AkgQAAFQIAgaAFOVzpPTyliENaIZjGee6AKAqMgxEmgYAACrXf19732QRqFuntjx65w2yf+89w87308zf5Pq7HjXZCP77+gdy3WXn8VEBiRZ0k98Tb4YBRwkDMgwAqGxkGAAAoPIkrFjgJ1+Nk6/H/ZCo1QGo5hkGnMuQYQBAZSsIk2GgoJBRTwAAVDUtNeDxeOT26y6LGCyg9t17DzOPZiEYM2FKpW4jkFL1vyMEALgREGAQvC4AqGDWjsLQaWQYAACgemcYuO2hp6Vxw/pyxEH9Q5577pW3ZWvBNrnxygsS9XIAyqmoOIElCRzrAoCKpjcWIpUkAAAAVWvVmnWS4fXKoQP2jznvIQfuJ5kZGbJ6zfpK2TYg5QRnA0yLs+0fUJKAbF4AKhcZBgAAqIEZBuwO/HDe++Qbef39zxL5UgDKyVdSEra8gFvOZYoc6wKAilZYbIWUY1UFlCQAAKDK1cmrJZmZGZLmoo2Rnp5u5tVlAFRwSYL0dJP9Iy7OjASWJRZtfwCVyNpRFDqxyMe5CACA6h4wAKDmcGYFcGYLcMu5jI8MAwCquByBIsMAAABVb68eXU2GwUX/LIs5r86zZWuB9NqjW6VsG5BqLGdWAG/8XYAeZ4YBRZYBAJUpXMCAKvTxOQAAkGAEDAApKqAkQbxpCYOWoSQBgMoUKTCAgAEAAKreRWedJF5vutw34iUpjFJnuKioyMyj81509kmVuo1AyvDtum72pDuyBbgVtIzlWB8AVEVJAjN9RyE7HwCABCNgAEhRASUJgkcNuOBchpIEACrTtsJIAQOURwEAoKrt3rWjPHbXDTJ7zgI55aJr5aMvxsqyFaulyOczP/q7Tjv14uvl/9u7DzAn6vyP499kU3YDS+9FEBCkKaigoieKDSviWVDPyv3Fgp7n2c5e7+wNz8LpKcp5chasWBAEREAFRRAQOBCV3mEhu6nzf2a2/ZLN7qbMZHcz79fz7JOQZH6TZIfZ/DLf+XyXrVgtj99zk/Tp2b2unzaQk7SYlgRpfAVYJWGAggEAddySoIZCAgAAkD5XBssCyJWWBGkkDKjL0JIAQDZVVxhQXasCAACQPQce8/uK63prgrsfebbGx//p9gcT3q63Wl84/W3Tnx9gK0oLAYcr9YQBh/4fUS8aKB+HlgQA6kPBQHWtCgAAQNooGABsKhxVWhLkpdGSQFkmpIwFAFarrjCAlgQAANQ9TTNrbpD6HAVAnHCGCQPly5UVCtCSAEC9aElAwgAAAPW7YKAkEJT3P/miyu2BYMC4/ODTGbV+eXD68GPMfEoAqhGKmNiSgLMMANRRwkC+yyEl4dLPFsVBWhIAAFDXXnry3rp+CgDKaOpcPS/1hAGdIy9PNAmX/oO5P4BsCgQrrmpulzhCZfsiEgYAAKjfBQN63OAdDz1T7f23PziuxuX1pDMKBgDrRTVNlI4EmbckIGEAQB0lDDTPd8mGPaVnHZAwAABA3Rs0oF9dPwUA5SKRmAP/aVFaGWjKeABgJf2kw5gkgcb5Ijv2lN5HwQAAAKZLM4+shj/kGf2Y+WwAVCekVguY0ZIgbjwAsJJaGNC8oPILzJJw1CiIAgAAAKC3EFASBlwZtCQop44HAFa3VFFPUGpUUHGVlgQAANTjhIFP3njerKEAWCwcjZ3ku5xptCRQlokfDwCyVTDQLL/yo4z+VUJJKCo+T5pnTwEAAAC5xISEgdKWBFXHAwArxRcFaI3ypfzUJRIGAACoxwUDHdq1MWsoABYjYQBAQ1YcqixSaurNM7400JRiAgoGAACoHzZv3S4rVq2R3UV7JRwu6ztcDdoTAhZQD/CrSQGpUJIJaEkAIFvUogBNb43idVdbTAAAAOpRwQCAhlkwkOdwiNOReksCl5OWBADqhj9Y+cVngdsp+S6HFIdL92v+UERa8osBAKBOLVuxWh4c95Is/PGnpB6vT0coGADMp0XUlgTpJwxUoCUBgGxRiwLcLhGPchgjEOT3AACAySgYAGxIbSHgzku9WKB0OVoSAKj7hIECl8MoGijW+xvG3QcAAOqmWOCSa2+TkkBQNE0Tj9stzZoWiivNOHQAGSj7jKxzpJswoC5HSwIAWRLTdkAvFnCTMAAAQL0vGJj/wxKx2iEH9rV8HYAdEwbUpIBUkDAAoC5ENc1oO1Au36UnDOhfYpYXDNBXFQCAujTupdeluCQgnTu0k7tuuFIOGdBXnM40D1QCMC9hIN2iHWW5mPEAIFsFA3EJAzH3AQCA+lMwcNmf7hBHGpHmydKHXjj9bcvGB+wmFNUSJgWkQl1OHQ8ArBQIR0Xd41QWDEhFSwIAAFB3Fv64zPh+4NG7b5DePbvxqwDqkpII4Ei3JYG6nJJYAABW0tSWBJ64lgThiFHAlHZyCgAAsKZgoH3bVuIQ6woGAJgrHDGjJYEj4XgAYCU1QUDfC3ldDsl3Ve6PioPsjwAAqEuaJlKQ76VYAKgPwmrCQOYtCTRaEgDIEi0QjGtJ4KpSUOAo8PL7AACgPhUMfDppvBnDAMgSNRHAjJYEeocDPSbcaWHSCADoikOVX3rmu53GfqdASRigJQEAAHWrc8d2snrNWolEIpKXbgQ6AFPEHOBP8/+jQ12OkwUAZEtMwoC7tHhJb3EUjVbeT8EAAACmIbcHsKGwfoTfxIQBXUgZEwCs4g9WfulZ4C798pKWBAAA1B8jhg+TUDgsX3z1TV0/FQDKAf60o7vV5SgYAJAlWqCyYEDT0wUcDnF43QnvBwAA9SRhIJfs3LVbRlx0jWzfuds4M2LK689V+9h3P54uk979WFb9slbcLpcc0KenjLnobBnQb/9ql/l+8TIZ/9pbsmjpCuNLlO5dOsl5I0+W04cfY9ErAqoKqi0J9OrcNMQvF4pExauc5QsAVlATBHxlBQMFbjVhgJYEAADUpVFnDJdZc+fLvY8+L61aNK9xfgzAWlpYSRhwpZn4oSwXMx4AWEhvORDTksC4dIsUB0rvp2AAAABTUTAQ55FnX5Edu4pqfeMeGveSTHzrQ8n3euTwQQMkGAzJvPk/yNz5C+Wxe26SY393aJVlps6cKzfe86hEo5ocfGAfad60icxbsEhu+/vTsmL1L3LDVZeY95sFahBWWxKkmTAQv5w6JgBYxa8UBJQXCuS7KvdHtCQAAKBu6W0Invn7rfLosxPk4mtuk4MO6C399u8hvoKCGpe78pJzs/YcAdtQWhKkmzAQs5za4gAALBRTEKAnDOj7I69byr991IJB3n8AAExEwYBCP3j//idfyFmnnSBvffBZtW/a3Pk/GMUCzZoWysRnH5QunToYty/88Se57Lo75I4Hx8mgAf2kSWGjimV27S6SOx96RiKRqDxx301y3FGHG7dv3b5TLh57q0yY9J4MPfwQGTSwn5m/XyAhtX2A25lewYDeNzzP4ZCIVjoWLQkAZINaEFDekqBASTehYAAAgLo3d8EimTl3vmiaJt8tWmb81IaCAcACaguBvDQTBpTlNFoSAKiThIHSVgRqSwIhYQAAAFNRMFCmJBCQex97Trp37SyXjBpRY8HAq/9937i8/MKzK4oFdHrU4jmnnyj/fvsjmTzlc7n43BEV97394eeyZ69fjjlycEWxgK5Vi2Zy/RUXyXV3PGQUDVAwgGwIRyu/NHCl28dQLzbIc0gkrFUZEwCyWTCQrxQMqAkEAAAg+xb8sFT+dNuDEi2bH3Tu0FZaNm9mJA8AyC5NTQQgYQBAA6EXHMYUBJS1JHCUFQ4Yj6FgAAAAU1EwUOa5VybJ2vWb5OWn7hdXnqvGwoJvvl9sXD9+aOWB/3LHDx1iFAzMmPNtTMHArHnzq13mqMMPFq/HYyQcBAJB8Xo9mf9mAYsTBnQuZVkSBgBkQ7FSEOCraElQWTAQCEclEtUkL4N9GwAASN/zE/4rkUhE+vbqLg/f9Rfp3KEdbydQV8KVn50drjSLdtTlwrQkAJAF+r6mLNE0viVBwgQCAACQsfRPLc4hy1etkVcnvS9nnDRMDj6wT42PXfPregkGQ9KiWRNp16ZVlft79+xmXK5Y9UvM7StWrTEu+/TsXmUZt9stPfbdRwLBoKxZuz7DVwPULhRVCgYyShhwJhwTAKziT9SSwB1bHEBbAgAA6s7SFavE4XDIg3f8mWIBoK7P0FWTAGlJAKCB0ALB2BvKCgbKWxOUPoaCAQAAzGT7ggE9JvHuh/8hhY0bGa0BarNh8xbjsm3rqsUCOl9BvjHW7qI9stdfbNymtyIo2uMvW65lwuXKb9+wsXR8wEphpe+gK8+RUUuCRGMCgFXUYgCfJ68iKUXdlakpBAAAILs0LSqNfPkx7fsA1IG4ObrDlJYEfM4GYD0tvh1BWYKgQ0nlJWEAAABz2b4lwevvfCQ//vQ/ue+Wa6RZ0ya1vmF+f4lxmZ9ffduAgoJ8Kdqz1ygYaOQrEH9x6TLGcl5vNcuU3l5eZFCTMy6+NuHtv67bIB3atpaioqJax4C9FSsfvKOhYLXbjN9fWuhSHYdW+WXBbr0wpoiUAdSstm0KqM3eQLjiuhYKiN9fWkDgdTnFX1YosG1XkeRrtPdBethPwWxsUzB7eyosLKzXb+q++3SSZStXG8l8HuVMQABZFolrH2BCSwItfkwAsIBaDOBQPkuo1yU+hQAAAGTE1gkDGzZtkXEvvi6HDOhrtCMA7EJtH+BympQwQEsCAFlQovRhLXBXfowpcDkTPgYAAGTX2aefKOFwRD6cOpO3HqhDmt4DXGVGwkD8mABgBeVEJ4fXnfC6Fqw8mQAAAGTO1gkDDzwxXkLhsNxx/RVJL+Pz5RuXJSXVVzEWlyUK6OkCxjIFpcsYywUC0tjlS7BMIGaZmrw74elqkwf0Fgv1/YwT1AOOXRVXG/sKat1mqrs/371bLz8wrue5vWx7SBr7KaQjqmkSCG+s+HfLpoXijpT9zfUGZVtx6RcGmov9ETLHfgpmY5uCXejF+PMXLpEHx70kBfleOenY39X1UwLsSW0f4HCIw5nmOUN5SjJBJCqaponDkf6JBwCQSkuC6hIGNBIGAAAwla0LBmbOnS+FjRvJfY8/H3O7Hp2o27xlu1z6p9uN64/c+Rdp1bK5tG/T2vj3pi1bE46ptx/Q2xE0KWxccfC/cSOfFDb2SdEev2zass34dzz9dl37dqXjA9lKGFBTAlLlImEAQBaVhKKiNj7xuZ0SKjvJyeep/CKzuPxGAACQdXc8OE4/Nilul0tuuf9JeWr8ROnTq3uNxfH6wcd7bx5ryvr1Iv0XJ74tn0yfLRs2b5WmhY3liMEDZezo86Vt65ZJjfHux9ON11GbB/56rZw+/JiKf9/296fl/U++qPbxd1w/Rs4ZMTzJVwJkJqZ9QJrpAglbGUSjsUUEAGBhSwLxKu0GlYQBo4ApHBFHuu1WAABADFsXDOj0g/v62Q+JBILBivsCZR9Uuu7TwejDuH3nbuMgf/wXDstWrDYue3bvEnN7z+5dZcEPS2XpilXSvWvnmPv0lIP//fyreD0e6dqpg6mvD0gkHFEKBjJpSaAsG1LGBAAr+JVCAH3343U5yzJO9PYEeQkfBwAAsuu9T74wCgD0s5B16zdtMX4SKX+cWQUDgUBQRl93pyxaukJat2wuxxwxWNZv3GwUAMyaO18mPveQdO7QrtZx9unYLqYQQLVnj1+mz/7auD7wgN4JH6MXKLRs0azK7V07d0z5NQGmJAxkcEAtpiWBTm//RcEAAAup6QExCQNqwUBZYQEFAwAAmMPWBQOLZ05OePu6DZtl+Kgx0rljO5ny+nMx9+V7vTJ4YH+Z/fV38tmMOXLh2afF3D915hzj8ughg2JuP+qwQ4yCgakz58ppJxwdc9+sOfON4oShhx8iXrVqErBISD8joIwrgzMN1GXVMQHACmpygF4goEahFrgr90fFIfZHAADUldNOPFocUjdx5S+89qZRLHBg314y/tG7xFeWajBh0nvy6LOvyJ0PPSMvP3V/reMcdEAf4yeRSe9+YhQMDOy/f7XFB6PPP1MGDeyX4asBMhSOVH/QPxVxxQF6coFDYg/aAYCpgqXtBuOLBBz6/kj/KU9Q0VsXlLUPBgAAmbF1wUC6LjrndKNgYPxrb8pRhx8sXcpSARb++JO8+cFnRpuDkScfF7PM7089Tv458S35YvY38vmsuXLcUYcbt2/bsVMef/5V4/rF546og1cDO1LTADJpSaAuq6YWAIAV1EIAtUCg9N9KS4IgCQMAANQVPaa/LoRCIXlj8hTj+m3XXV5RLFA+137/0xlGguCS5aukb6/uaa/nw6kzjctT404EAOobTU0YyCQRQI/20qf+5VN+tdUBAGQxYcD4t9ctmj9StXUBAADICAUDaTj8kAPlD2edKhPf+lDOHn29HHbIgRIKhWXe/B9EE03uu+UaaVLYKGaZpk0KjYjFG+5+VK6/8xEZNKCvcdu8BYuMtgh6EQJnICBbwlG1JUH6Zxqoy4aUMQEgGwkDKp9aMEBLAgAAGoRoNCqz5i6Qd6Z8Lk8/8NeMxvp+8U9StMdvJAX27tmtyv3HDz1cVqxaIzPnfJt2wcDaDZuMEwXcbpeceMwRGT1fwHLKgf1MIruNVC+94KA8sUBvSQAAFlILAeLbEJQWDJSUPk5PGAAAAKagYCBNN18zWnr12Ff+M3mKUSjgcrnk0IMPkCsuPkcG9Ns/4TL6FxSvPH2/vPBqaUxiOByWbl06y3lnniQjhg/L5PcIpCSknGngyiBhQF02rJ69AAAW8AerLxhQEwf8tCQAAKBe+2Xtennno8/lg09nyLYdu0wZc/mqNcZl7/2qFgvo+pQVEehFA+n68LPSdIGjDjtYmhY2rvZxn8+aZ7Qj1AsiOrZvI0OHDJJuXTqlvV4gHZp6YD+TlgTly5cVDOgtCQDASjGFAHEJA+q/tWBlEgEAAMgMBQMJ6BP6xTMn1/rmnXHSMOMnFQP795bnH7kzpWUAM2maFtuSQI8XTJO6rDomAFjdksAX15KAhAEAAOq34pKAfPrFVzL5o89l4ZLlFXMTnRkH0zds2mJctm3dMuH95bevL3tcOj4qa0dwWi3tCF5/56OYfz/xwmtyzogT5ZZr/iiuDM70BlKiHtjPpCVBWd9wTcoO4HGyAIA6ThioeBwJAwAAmIaCAcBm9OP66qF9dwZnGqjL0pIAgNX8NbQkUP9NSwIAAOqPH5YsN4oEPp0xR/zFZRHCmib77tNRTjh6iPGzX7cuGa+nfOz8fG/C+wvy80sf5y9Oa/zFy1bImt/WS9MmjeWoww9O+Jje++0rB/btJYce1N8oUNi6fafMnvedjHvpdZn07ifidrvl5rGXJb3OMy6+NuHtv67bIB3atpaioqK0XgtsYq9fymfsEYlWu734/f5ah3I4HVJ+uoC/aI9erWviE0WuSWabAqqlaeIIhCr3OaGg+JWTlPQuKeX3BYv2SoC/hWA/hXqAv32wYpsqLCyUbKJgALCZ+NYBrgwSBtRlaUkAwGrFNRUMeCoLmIIRTcLRqLicGUavAgCAtGzfuctoNzB5yjT5+dd1MWkCej/0/7zwiPTt1b1BvbsffjbLuDzx6COMA/+J/OGs02L+3al9Wxk18iQ5ZEBfOef//iJvvDNFLj7ndGnXplVWnjNsLqrM/TP9XKwuT8IAACuFIhUFARUtCMJK6wGPcjgjFOZ3AQCASSgYAGwmPgnAnZdBSwJlWRIGAGSzJUFBXEuC+AIC/bGFXgoGAADIFr0g4Mt5C4wigZlz50skEjVuy/d65JgjD5URw4+RK26817QWBPF8BaUJAiUlgYT3F5eUJhD4fAUpjx0OR+STL2Yb1087seZ2BIn02HcfOXrIIJk6c67MW7Ao6daG7054utrkgWg0mvUzTtCwBPNc5U0ExJ3vFW8t20tN21Oxxy3ln8QLPB5xse0hCeyjkI5o0V6pyAJyiDRu0Uxkz56KbSrUuJGUlw+4oiL57I+QAfZTMBvbFBoyCgYAmwkrMV6ZJgy4YxIGYscFACsTBnye2AIBT57T2J+Fy4qi9McWevmYAwCA1X5bt8EoEnjv0xmyddsOo0hATxEY2H9/Of3EY+TEY46QRmkcpE9V+7atjctNW7YlvL/8dj3KP1Vz5i+U7Tt2SacObWVAv/3Ten5dOnUwLvX3CMgKNQkgL/azc8qUdoQaCQMALKQFQjHpAvpnihheT+Vjg8pjAQBARvgmHbCZkBJLqB/wr/LBOwVu5UsDdVwAsIK/hpYEpbc5pShQ+hh/kH0SAADZcMoFVxtzCr1QoGP7NkaRgH4Wvh7Hn029unc1LpetXJ3w/qUrSm/vWfa4VHz42Uzj8tTjh6b9/Hbrfd/1zyv53rTHAFKhhSs/O4srs4IBh7q8Oi4AWFgw4NDbEcTvj5TbYooLAABARigYAGwmpCQBuDJoRxC/vDouAGS7JYHO586rKBhQ0wgAAID1Lvj9KXL9FReJ2131y/1s0BMNChv75Ld1G+WnlT/L/vvtG3O/3g5AN3TIoJTG9fuLZcZX3xjXTz0hvYKBYDAks+YtMK737tktrTGAlClJAA6l2D/zhAE+ZwOwULCWggGvchsJAwAAmIbmvoDNlMd169zOzHYB6vLquABgtkhUk0A4GlMcEE9NHVDTCAAAgHU8breRLvD6O1Nk2O9Hy/1PvCA/LFme9bdcL1QYNfJk4/oDT44Xf3FJxX0TJr0nK1atkUMG9JW+vbpX3K4/59MuHCtPjn+t2nE/nzVPiksCckCfnhVtBRJZ/cta+eDTGUZxgGr7zl1y4z2PycbNW6VXj64ysH/vDF8pkJyYA/sZtiRwqMvTkgBAthIG1OKABLdpgaDxGQQAAGSOhAHAZkLK5N7chAHivwFYJz4xoLqWBJWPZ58EAEA2TH/nX/Lh1Jky+aPPZfmqNfLf9z6VN9//TPbp2M5oT6Cfld++beusPJcxF54tXy9YJAt//ElOveAqOeiAPrJh0xZZtHSFtGjWRO69eWzM43fu2i1rfl0nW7btqHZM/bXpTjvh6BrXvW37Trn1b0/Jg+NeMooSmjdrKlu2bpelK1bJXn+xtG3dUh69+4aMWsIB9SFhQEgYAGAhTS28q6UlgegnL+n7JBeHOAAAyBR/TQGbUVsHuJ2ZfVmlLq+Pq1f18gUYACuoBQB6rZInQcGTWkRASwIAALKjSWEjOf/Mk42fZStWy9sfTZWPp82WX9ZukGf+9R/5x8v/kYMP6COn1nLA3Qxer0deevJeeXHi2zJl2pcyffbX0rSwUEYMHyZjR58n7dq0Smm8Ldu2yzffLxaXyyXDhx1R42O7dO4gfzj7NFm0ZLmsXP2r7NxdJB63y7j96CGD5IKzTpWmhY0zfIVA8rSwUnDryixhQF1eU1K/ACDbCQPxRQT64x0UDAAAkDEKBgA7tyTI8CwDdXl9VL0WwcUJMwAsoBYA6IUBiYqTfB4KBgAAqEu9e3aT23uOkZuuvkw+mznHSB2Y/8NS+XbhEuOy3JxvF8rQww8RV6YHMRPI93pl7OjzjZ/aXHXpKOOnOq1btpCF099Oar1tWrWQm8deltJzBSwV05LAaWJLAlp/AchOwkDClgT6/kz//FBWFGUUGDQq4FcCAECGKBgA7NySIMOEgfjlw5GouJzmf+kHAPEFA4moLQn8Qb7IBACgrng8bjn1+KHGz9oNm2TylGny/idfyKYt24xUsuvvfFgaN/LJMUcMlhOOGSJDDhlgSfEAYGsxLQky/P+lnixAO0IAVgoEK646PJ6ED9ELCSpSVNQWBgAAIG0UDAA2E4pJGMiwJUHc8vrY+RmNCACJ+ZWWBGphQPUtCYhKBQCgPujUvq1co5/xf9l58tU338s7H30uM+Z8K0V79soHn80wfgob+2T2B6/V9VMFcopmZsKAWtBDwgCAOkwYKL3dI9rekiotDAAAQPooGABsJqT3DTCpJUF8woA6NgBYlTCgth5Q+WIKBkgYAACgPtHbCR156EHGz46du+X9T7+Qdz+eJqvWrJWiPf66fnpA7gkrCQOZJnio3x2Un9ULABaIKQCopmBAPJW3UzAAAIA5KBgAbEZvG2BWSwL9Sz+301GRWhCOckYvAGv4k2pJQMIAAAANQfNmTeTic0cYPz8sWW60LABgspiEgUwLBiqXpyUBgKwlDCiFASo1eUB9PAAASB8FA4DNmNmSQOfKqywYIGEAgFWKk2pJ4ExYYAAAAOqvA/v2Mn4AmCvmwH6mLQnU5WlJAMAimn4iUjBce0uCmISBIL8PAABMkNmMAUCDE1baBricme8C3MoYYaUYAQDMVBysPWFAbVWg749C6pekAAAAgJ0oB/YzbkmgLK8prQ4AwFRKsUCyCQNCwgAAAKagYACwmZDSNsCMhAF1DA7OAbBKsZIY4Ku2JUHsxxpSBgAAAGDbs3TVgv6MEwaUz98kDACwSEx7AYdDxO1KImGAlgQAAJiBggHAZtS2AW6nCS0JlDFoSQDAKv4kWhLoqSkepYhJbWMAAAAA2EZc0lbMAf90xLQk4DM2AGvEHPz3uMWhFw0koiQMxBQZAACAtFEwANiM2jbAleFZBjq3MgYtCQDUZcJAfLsCtY0BAAAAYBvxKQAup3ktCUgYAGARLRBM3HYgDgkDAACYj4IBwGbUtgHmJwxwpgEA6wsG1KKAGgsGlGUAAAAAu9DCcXPzDBMGHOrJBvFjA4BJ1LQAtSigyj7J60m4DAAASB8FA4CdWxIo0d3pUsegJQEAK4SjUQkq+64CT/UfX9R2BWobAwAAAMA21BQAp7P6WO9kqQUH0ahoSnIhAJhGaUlQY8KAel8gJJrGPgkAgExRMADYjNo2QG0nkC51jBBfGgCwQHHcgf+aEgbUdgUkDAAAAMCONDX9L9N2BPrBufgxoiR5AbA4YSDJlgSiFwuE2ScBAJApCgYAm1HbBqjtBNKljhGmJQEAC6gH/vV9jicv2YQBvjQAAACADSkHzxwZtiMwxI9BWwIAFtCUhAGpoSWBeFxxywX5fQAAkCEKBgBbJwyY3JKAhAEAFvAHowkLAhIp8KgJA7QkAAAAgA2pxfwmJAvGj6GpLQ8AINsJA05nTNFATKEBAABICwUDgM2EIia3JNA/pCcYGwCsSBhQWw4korYroCUBAAAA7CjmgL4JCQPGwTk1oZB0QQAWUA/8OzyemvdLSgKBWmgAAADSQ8EAYDOhqMktCZSEgbAyNgCYRW0toBYEJKIWFFAwAAAAALF7SwKXSV/9KYUHGv3CAVghyYSBKveTMAAAQMYoGABsJhwxuSWBUnRAwgAAK6itBWptSaDcr7YyAAAAAOxCi2lJkHnCgM6hJhSSMADAAlogmHzBgJowQMEAAAAZo2AAsBFN0yQUrSwYcCntBNLlUr40CCtjA4BZ1KQAEgYAAACAWigtCWIO9GdCLTxQWx4AgEliDvwrBQEJeStbFtCSAACAzFEwANhI/AF9UxIGlDFCnGUAwOKCAZ+n5jOk1IICfTm9UAoAAACwFXVu7jInYUCU1ga0JABgSTKK2k4lpYSBymQCAACQHgoGABuJbxmgthNIFy0JAFjNH4yk1ZJA3+UF4/Z7AAAAQK6LOaBvWksCNWGA1l8ATBYMVVsQkHCfpBYUBMP8OgAAyBAFA4CNEwbUdgLpctOSAIDFikPRpFsSxN+vphMAAAAAtqAc0DevJYGSMEBLAgAmi2kroJ/gVEs6CgkDAACYi4IBwEbUlgF6toAJHQnEpaQU0JIAgOUtCWopGMhzOsSrxKVSMAAAAAC7iTmgb1LCQMw4JAwAMJkWCMUUAzgcjqQTBmKKDQAAQFooGABsJKQkDLjzHLV++E6GPk6i8QGgLhIGSh9T+fHGrywLAAAA2ILaB1wpps2EQz3bV215AAAmFwyI11P7AkrLgphlAQBAWigYAGwkrPTyVlsJmNaSgF7hACzgVxIG1GKA6qgpBCQMAAAAwHbUBADTEgbUlgQU5QIwl5oSoLYbqA4JAwAAmIuCAcBGQtFowlYCprUkUMYHADPorU7CSnqJz5NMwkDlY/xBzn4CAACAnVsSmJQwENOSgM/YAEwWCCZsN1DtPkl9TDAkmkbqKQAAmaBgALBtwoA5BQPqOCQMALAyXSDZhAH1MWo7AwAAAMAWlASAmAP9mSBhAEC2EgaSKRhQUwj0rzuDYaueGgAAtkDBAGCzM3XLuZ0mtSRQxglFNSp6AZhKPeDvyXOIK4l9l5owQEsCAAAA2I0WVopuXeYUDDjUcdTxAcAEWiC1lgQS9xgtWJlQAAAAUkfBAGAj+gH9ci6TEgbix1GjwwEgU8VKSwG1EKAmFAwAAADA1mISBkz66k8dh5YEACxMGJBkEgYcjpiiAbXgAAAApI6CAcBGQmpLAqdJLQnixlHXAQCZUhMCki0Y8CktCfy0JAAAAIDdqAf0TWtJUDmOphQkAIDpCQNJFAzEP46CAQAAMkPBAGAj6tn/LpPOMogfh4QBAGZSD/gXKIUANSFhAAAAAHYWc0DfpLm/w0XCAAALBVNsSRD/ODWhAAAApIyCAcBGQsqXBm6TWhLow6ghA+o6AMDMhAFfsgkDnryEywMAAAC2EK78DOxwWZAwEGbeD8DKhAFPUsuQMAAAgHkoGABsJBQ1vyWB3jPMpYylrgMAMuWPaUmQbMJA5eOKaUkAAAAAm9FiWhKY9NWf2tpAHR8AzC4YSDJhQJTHaSQMAACQEQoGABsJR8xvSaBzK2Op6wCATKkH/AuU5IBUWhJoGvslAAAA2IiS/OdQD/Sb1pKAhAEA5jGKnNRCJG+SLQmUx6kFBwAAIHUUDAA2EopGTU8Y0MUmDPDFAQDzqC0F1EKAmqiP00NPAkSmAgAAwCaMYln1wJt6oN+0lgQkDAAwT/zB/mQTBmIKBkgYAAAgI67MFgfQkISUs//deeYVDKhjqesAADMLBnxJFwzEfinqD0UlP8llAQBAw1YSCMiLE9+WT6bPlg2bt0rTwsZyxOCBMnb0+dK2dcukxznx3Mtl/cYt1d7/3qvjpFuXTlVuj0Qi8u+3P5LJU6bJb+s2iq8gXwYN7CdXXzpKunXtnPbrApKmV8yq03KzEgbUlEJaEgAwk1owkOcUhyu5/ZbD41HGCPI7AQAgAxQMADYSVmIDXU4TWxIoY6nrAIBM+YPRagsBquN0OCTf5ZSSsmSB0qKDJHsgAgCABisQCMro6+6URUtXSOuWzeWYIwbL+o2b5d2Pp8usufNl4nMPSecO7VIa8/ThxyS8vbCxr8pt0WhU/nLXIzLty6+lsHEjOerwg2XHrt0ydeZc+XLeAnnpyXulf++eab8+IClxB/PNakkgygE8jXk/ABOp6QDJpgsYjyVhAAAA01AwANhISD/TwIKEAZeaMKCsAwDqImGg/LGxBQMAACDXvfDam0axwIF9e8n4R+8Sn6/AuH3CpPfk0WdfkTsfekZefur+lMZ84K/XJv1YPVVALxbo0qm9vDLub9KqRTPjdr1g4Po7H5Zb7nvSSCZwJXnmJJCOKgfzTWtJoIxDSwIAFrUkUIsAaqUWDMS1NQAAAKkx7xRjAPVeWGkX4HKa2JJAGYuWBADM7L+qHuwvSKFgQE0jKA6RfAIAQK4LhULyxuQpxvXbrru8olhAd/G5I6Rn964yf+ESWbJ8lWXP4dX/vm9c/vmKiyuKBXTHDz1cjj5ikPy6boN88dU3lq0fSHgw36R0wZikAhIGAFiUMKAWAdRGTSOIGQMAAKSMggHARtSz/z3q2QEZcitjhUkYAGCSYEQTpc4p6ZYExmM9lV9o+oMkDAAAkOu+X/yTFO3xS+eO7aR3z25V7tcP2utmzvnWkvWv3bBJVv+yVvK9HqMVQbwThg4xLmdYtH4g4cH8vDxxOEw6WUBNxtA00aIU5QIwhxYIVlx3eDxJLxeTRhAMs18CACADtCQAbCSkfHGgthEwtSUBZxoAMEl8K4HUEgYqH0tLAgAAct/yVWuMy977VS0W0PUpKyJYUfa4ZL38n8ny2/qN4nG7pXvXfeTYow6VFs2aVl3//0rH7bHvPuJ2Vf2qpbyIYeWqX1JaP5AqLRIxvx2BkTAQN5Y+9zcpvQCAzQXTa0mgJgyUjhMWyU++4AAAAFSiYACwEfXsf7WNgKktCUgYAGAS9UC/N88peSnst3y0JAAAwFY2bNpiXLZt3TLh/eW3ry97XLIef/7VmH8/8o9/yV+v/aOMPOW4mNs3Jr3+zSmtH8ikJUFMG4FMxY+lr8fN14oAMqcFQtUXAdRE3wfpKSqaVtGWwEHBAAAAaeGTPWAjISXb22ViSwJ1rLCaHw4AGSgOVaaiFHhS22epCQP+uKQCAACQe/zFJcZlfr434f0F+fmlj/MXJzXe0UMGy+CB/aRPr+7SvFkTWbt+k0yeMk3+/faHctcjz0rTpoUy7MhDU17/Xn/p45JxxsXXJrz913UbpEPb1lJUVJT0WLCRPXsq+o9GHVLrduL3+5MbV9Ni+pru2b1bJFy6XQNpbVNAGcfeYik/PSAgUQnE7bdq2qYc7jxx6MkC+t/YHbtEHLRLQe3YT8FsbFOwYpsqLCyUbCI7DLCRsNJj0LqEAT6YAzCHeqA/lXYE8Y+nJQEAAEjVX//0Rzn2qMOkfdvWku/1Gq0Gbrz6Urn9z2NE0zR54oXXeFNRP6ltAk08UUA/i1dTWxDQjhCAWUKlB/wNqSaXqIkEocqkAgAAkBoSBgCbJgy480wsGFDGUtcBAJlQD/T7UiwYoCUBAAD24isoPdO5pCSQ8P7iktIz+32+gozWc+Ypx8m4l16XNb+uk3UbNkvH9m1SWn8jX/JnZL874elqkwei0WjWzzhBwxDeWiTlW2Gexy0FSW4nyWxPe11OkWBpQYLPmy95bIPIcJsCdP5wVMq/TSxoWiiuaradRNtUcb5XontK04PynS5xs90hBeynYDa2KTRkJAwAdm1JoJ4ZkCF1rDBnGQAwib/sy0hdgTv9lgQkDAAAkPv0JADdpi3bEt5ffrse5Z8Jp9MpnTu0M65v2ba94vZ2Sa+/tMAAsIoWkzCQWtFtbRzqeMz9AZglWJkM4FATA5Lg8LoTjgMAAFJDwQBgE1FNk4iWhYSBKAkDAMxRbFJLArW1AQAAyE29unc1LpetXJ3w/qUrSm/vWfa4TOwu2mNcFpSlChjr71E67v9+/lVCYSVaucyysvXv171LxusHahSp/OzrMLMlgU4dT1kPAKRLb/OjBZSCAa8n7YIBdRwAAJAaCgYAmwjHtQqwqmAgfj0AUBcFAz5P5UecklDUKJoCAAC5a2D//aWwsU9+W7dRflr5c5X7p86ca1wOHTIoo/XoBQFrflsvBfle6bZPx4rbO7VvK926dJKSQFBmzV1QZbnPZs4xLo/OcP1ASgkDLnMTBtTxYtYDAOnS9yVRZX+iJgYkQ0kkoGAAAID0UTAA2ERI/fBtcksCtzJW/HoAIF3Focr9iS+DlgRaWdEAAADIXW63W0aNPNm4/sCT48VfXFJx34RJ78mKVWvkkAF9pW+v7hW3v/7OFDntwrHy5PjXYsaaNW+BfP3doirrWL5qjfzlrkeMsyHPPOU4Y52qi8453bh84vkJsm3HzorbP581V2Z89a3s07G9HHPEYBNfNZBAWE0YsLAlgbIeAEiXFgjG7mcyaEmg0ZIAAIC0udJfFEBDErIwYcCltiQgYQCASfwZJAx4XU7R90yaklbg85h8hhUAAKhXxlx4tny9YJEs/PEnOfWCq+SgA/rIhk1bZNHSFdKiWRO59+axMY/fuWu3rPl1nWzZtiPm9h+XrZTnXpkkHdq1NloYFHi9snbDJqOtQDgSkUED+sl1Yy6ssv6RJx8rX85bINO+/FpOv/AaOfSg/rJzV5HM/2GJ5Hs98vfbrxOX2Wd8A/HUM/8tbElAwgAAM8Qc5HflpdxKxeGpbGFAwgAAAOmjYACwiXC0smBAP77vdJjYksDpSLgeADCrJUGqB/v1fVyB2yn+smQBNa0AAADkJq/XIy89ea+8OPFtmTLtS5k++2tpWlgoI4YPk7Gjz5N2bVolNc6QQQNk4+at8uNP/zOKD/bs8UujRgUysH9vOeX4o+SMk4ZJXoIzt51Opzx2z40y8a0P5d2PpxmtCQoKvHLcUYfJ1ZedJ927drbgVQOxtEjEsoKBmIQBdT0AkK5AKO10AWMZtYUBCQMAAKSNggHAJtQz/10mf2mgjkfCAACzqAf59YP/qdJTCSoLBvhCEwAAO8j3emXs6PONn9pcdeko4yfegH77Gz/p0AsJLj53hPED1HXCgNktCcTlTJxkAAAmJAzEHPxPpyWBUnwAAABSY3I2GYD6KqRM5tVEADOo46nrAYB06b2BizNoSRC/jNreAAAAAMhVWlj53Gt2CwylACFmPQCQppiD/GkUDIiSSqAFgvweAABIEwUDgE2orQLcek8CE6nj0ZIAgBkC4aioHU7SKRjweSo/5tCSAAAAALagtApItRd4bWLGoyUBAJMLBjJuSRCOiBblRCYAANJBwQBgE+qZ/y6nyS0JlPFoSQDADPEH+NNtSVCOhAEAAADYgpr6Z3pLAiVhgHRBAKa3JPCkvHyVIgPaEgAAkBYKBgCbyFbCQETTJKoppwUDQBrUA/z5Lqc4HY6MCgbU9gYAAABArtLUM/9dFiYM0JIAgBkyTBgwCpmUVqlqAQIAAEieS2ysuCQgc75dKDPnfCvfL14m6zdtkTynUzp3bC/HHXWYXHzO6eLzFSRc9t2Pp8ukdz+WVb+sFbfLJQf06SljLjpbBvTbv9r16esY/9pbsmjpCgmFw9K9Syc5b+TJcvrwYyx8lUDVM/+tLBgoX5fXZe46ANiLeoDfl0Y7gvhUguIgBQMAAACwgXBlwoDD7IQBdTwSBgCYQAsGE7cXSJLD4TAKDbSSYJUWBwAAIHm2LhiY8vksufuRZ43r3bp0kqOHDJK9/mJZ+ONP8uzLb8jH076Ul5++X1o2bxaz3EPjXpKJb30o+V6PHD5ogASDIZk3/weZO3+hPHbPTXLs7w6tsq6pM+fKjfc8KtGoJgcf2EeaN20i8xYsktv+/rSsWP2L3HDVJVl73bCnUDQ7LQl04WhUvASYADCpJUE67QjiCw3iWxwAAAAAuSgmYcDCgoGY9QBAmmIO8KeTMKDTWxmUFwyQMAAAQFpsXTDgcuXJWaedIBeedap069q54vYt27bL1Tc/IMtWrpaHxv1LHr7z+or75s7/wSgWaNa0UCY++6B06dTBuF0vMrjsujvkjgfHyaAB/aRJYaOKZXbtLpI7H3pGIpGoPHHfTXLcUYcbt2/dvlMuHnurTJj0ngw9/BAZNLBfVl8/7CXbCQMAYFZLggJPugkDeQnHAwAAAHKWeua/2S0J1PGUJAMAMKNgIJ2EAWM5PWEgwXgAACB55s4cGpgRw4fJXTdcGVMsoGvdsoXcet3/GdenfTlPQqHKDxqv/vd94/LyC8+uKBbQ6a0Izjn9RCnas1cmT/k8Zry3P/xc9uz1yzFHDq4oFtC1atFMrr/iIuO6XjQAWCkcrTyI71J6e5lB7y2u1gyo6wKAdKgtBNQD/6nwqS0JSBgAAACAHYQjWWlJQMIAAFMoiQD6gf90xBQakDAAAEBabF0wUJNePfY1LvV2Azt3FxnXSwIB+eb7xcb144dWHvgvd/zQIcbljDnfxtw+a978apc56vCDxevxGO0JAoHKnk2A2ULKWQbuPPP/66tjqusCgHSoB/jVA/+pUAsNikkYAAAAgO1aEpicMKCOR0sCABnSNM2chAFlOY3v1wEASAsFA9VYu36jcelyuaRpYaFxfc2v640CghbNmki7Nq2qLNO7ZzfjcsWqX2JuX7FqjXHZp2f3Ksu43W7pse8+EggGZc3a9en9FoFUWxKYnDAQn1pASwIAprYkSDNhQG1lUBKOSoT0EwAAAOQ6pYDf4TI5YUAdjxMFAJiRiKJpprQkKEdLAgAA0kPBQDX+/daHxuWRgweKp+xDx4bNW4zLtq2rFgvofAX5Uti4kewu2iN7/cXGbXorgqI9/rLlWiZcrvz2DRtLxwcsb0mg9g8wiVsZk5YEADJVbEbBQFwyQYkSzwoAAADk4tm6MQfyzU4XVMbT+GwNIENVDu6n2ZJA1IQBWhIAAJAWV3qL5bZZ8xbIO1OmGekCY0efV3G7319iXObne6pdtqAgX4r27DUKBhr5CsRfXLqMsZzXW80ypbeXFxnU5oyLr014+6/rNkiHtq2lqKi0hQKg8pdUtryIhkNJbSd+f2mxSzLUryF279krRR4OzCGzbQr2tqdEiSWMBKvdZ9W0TelfmOrhJ+X1Ult3Fkm0gI8+qBn7KZiNbQpmb0+FZQl4AFBF/Fn/eeYmDDjU8UgYAJChmIP7bpc4nE4TWhLEFSEAAICkkDAQZ/Uva+Wv9z9pHGT4y5UXSa8e+yb3TgL1nHrWvzUtCSqvh4j9BpAhvYVAuQJ1B5MCh8Mh+cqyxaG4L1ABAACAXBKJLdy3siWBFrcuAEhZIJhxOwJjWTWZgIQBAADSwml2ik1btsmVN91rtBS46JzT5Q9nnRbzZvl8+cZliXKmdrziskQBPV3AWKagdBljuUBAGrt8CZYJxCxTm3cnPF1t8kA0GuWMEyTmrDw7t5EvP6XtJJnH5nt2iuwNG9fdntTGh/2wfaA2JZHNFddbNGkshYX5aW1TjTzbxR8q/bvtcHulsLAxbz7YT6FO8LcPAGA1rUrCgLnnCTnU8ZQCXwBIh5oGEHPQP0UOb2UaMAkDAACkh4SBMrt2F8mYG+6R9Ru3yBknDZMbrrqkypvVvk1r43LTlq0J30y9/YDejqBJYeOKg/+NG/mksLGvoiAhkfLb27crHR+wQihaOZl3pxnxVROXMqa6LgBIVVTTpERJA/B50t9nFbhJGAAAAIBNhJWz/h2OtOO9qxXTkiBipHMCgBktCcxKGKBgAACA9FAwYPSBLJYrb7pPVq35TY476jC5+8arjBjjeF336SAej1u279yd8OD/shWrjcue3bvE3N6ze1fjcumKVVWWCYXD8r+ffxWvxyNdO3VI89cI1C4cUVoS5JnfkkAdM6SsCwBSpRcLqHuRAnf6Uarqsv4QsakAAADIYWrCgMnpAgnHpB0hgAzEHNzPIGFA1GIDvZiJlikAAKTM9gUDwWBIrr3t77J42Uo5YvBAefjO6yVPrZhW5Hu9Mnhgf+P6ZzPmVLl/6szS244eMijm9qMOO6Ts/rlVlpk1Z74EgkE57OADxKvEJwFmUw/iu50WFAwoY1IwACATxcqBfX3P4nWZlTBAwQAAAAByV8xBMlf6RbfVccSPqSYaAEA9SBioUogAAACSYuuCgUgkIjfd+5h8/d1iOeiAPvLEfTeL213zh5OLzjnduBz/2pvyy9r1Fbcv/PEnefODz6SwcSMZefJxMcv8/tTjjNYEX8z+Rj6fVVk0sG3HTnn8+VeN6xefO8LkVwfEUtsEuCw400AdM0xLAgAZKFbaEegH/J0JUn+S5fPkJRwXAAAAyDnKAXyHJQkDsQUDnMULICPKgf34g/4pFzOp+zylEAEAACTHJTb2n8lTZNqXXxvXmzctlPufeCHh42648hJp3qyJcf3wQw6UP5x1qkx860M5e/T1ctghB0ooFJZ5838QTTS575ZrpElho5jlmzYplHtvHis33P2oXH/nIzJoQF/jtnkLFknRnr1GEcKggf2y8IphZzEtCUgYAFCPqUkAmbQjiF+elgQAAADIZVpMSwLzEwYk/rsEdX0AkCI1CcCRYfKuXnCgFQeqjAsAAJJj64KB3UV7K66XFw4kctUloyoKBnQ3XzNaevXY1yg40AsFXC6XHHrwAXLFxefIgH77Jxzj+KGHyytP3y8vvPqmLFq6QsLhsHTr0lnOO/MkGTF8mMmvDKgqpPQWdOWZ35JAHTNMH0MAGfBbVDBASwIAAADktIi1CQMOPflLL0QoXw99wgGY1JJAMkgYKG9pUFEwQMIAAAAps3XBwFWXjjJ+0nHGScOMn1QM7N9bnn/kzrTWB2QqpFT+uy344kAdU10XAKRKbR3g82S2v/K5K5cvDrJvAgAAQO7SwsrnXT2i2wouZ0WhgKa0QACAVGmBYMwB/4woy5MwAABA6ixoaAagPlLP+re8JQEJAwAyQMIAAAAAkAb1jH8rWhIYyQXKuJwsACADahJApgUDDk9lSwMKBgAASB0FA4ANRKKaqMfwLW9JEFFWBgApKraoJYFaiAAAAADkHOUAvhUtCQzKuBotCQCkSdM0EbVgwISWBBWClckFAAAgORQMADYQisbGcLudFrQkUMaMXx8ApKI4qBYMmNeSIBjRYtJWAAAAgFyiZSNhQG11QMIAgHSFwiLK9DzzhAFaEgAAkAkKBgAbCMWd8e+2IGFAHTN+fQCQiuJQZdGRz8SEgdKxSRkAAABAjgpXftZ1uKxKGMhLuD4ASEWVtgHuzAoGRCk4UFsdAACA5FAwANhAfIsAl9OCggFlTFoSAMiE38SWBHoxk7rPo2AAAAAAOUs949+ihIHYlgSkCwJIT8xBfY9LHBl+V6kmFFQpRgAAALWiYACwAbVFgH7gzOEwv2DApXxpQEsCAOYlDGT2UUXf36ltDdSxAQAAgNxtSWDNV34OtRBBXR8ApEALBCv3K15Pxu8dLQkAAMgMBQOADahn/KtJAGYiYQCAWYpNTBiIH4OEAQAAAOQs5Yz/mAP7ZlJaHWhhinEBpElJAVAP9qcrpuiAlgQAAKSMggHABkJRpWDAorMM1HHV9QFAKiJRTUqULx4LPOYWDPiDnAUFAACA3KSFlc+6LmsKBkgYAGB2SwK1nYBZCQOaxneTAACkgoIBwAZCylkGrjxrEgbUcdX1AUAqStQvOY2D/Zl/VFHbGtCSAAAAAPZIGLDoKz91XFoSAEiTflC/ggkJA6IWHeitWfluEgCAlFAwANhAOJrllgQkDABIk3pAX9+teE34ojMmYUBpdwAAAADkFPUAvmUtCSrH1TggB6AeJgwY4weCGY8JAICdUDAA2EAoomU1YUCvF9BjxQEgVWrLAP1Av8PhMLVgoJiCAQAAAOQoTWntJS5rvvKLSS6ISwcDgHQSBuIP9qe9b1ILmpSCBAAAUDsKBgAbCOtRXGXcTmv+28ePG1LWCQDJUg/o+5QD/ZlQ2xrQkgAAAAB2SBhwWJUwoIxLwgCAtAXMTRioUnigtjwAAAC1omAAsIGgkjDgtihhIH5cNdUAAJKlHtBXD/RnwuchYQAAAAC5T4tpSWBRwoByBm9MCwQASLclgQkJA/GFByQMAACQGgoGABsIqy0J9KbgFogfV10nACTLryQMqK0EMqGOo7Y8AAAAAHJKJJr4wL6ZYloSkCwIID1aIFj5D5MSBtRx1JYHAACgdq4kHgOggVPbA7itOsvA4TCKBsLR0kIBWhIAqDcJA2pLAr7UBAAgp5UEAvLixLflk+mzZcPmrdK0sLEcMXigjB19vrRt3TKpMXYX7ZUv5y2QmXO+lUVLV8imrdvF43ZJ966d5eTjfifnnnGSuF1Vv0657e9Py/uffFHtuHdcP0bOGTE8o9cH1ChsfcJAbEsCinEBmJAw4PWY8jY6PJXjUDAAAEBqKBgAbCCchZYE5WOXFwyQMAAgHcUWJwwUkzAAAEDOCgSCMvq6O42D/K1bNpdjjhgs6zdulnc/ni6z5s6Xic89JJ07tKt1nFcmvSv/fO0toyh6/x77Sv8+PWXHzl3y/Y8/yeJlK2XqjLny/KN3SUG+N+HyeoFCyxbNqtzetXNHU14nUB1NSRhQD+ybyaEWIqjrA4Akafp3h8Fw5X6FlgQAANQ5CgYAGwjFtCSwrhOJ2+mUYin9wiBUVjgAAOkWDPg85hcM6PumUCRqWdoKAACoOy+89qZRLHBg314y/tG7xOcrMG6fMOk9efTZV+TOh56Rl5+6v9ZxfPn5cul5I+W8kSdJ+7atK27/Ze16+b/r75bvFi+T8a++KX+6/A8Jlx99/pkyaGA/E18ZkCTljH/LWhIo42pqogEAJCsU2y7AYVJLgpjCA1oSAACQEr4tB2zXksC6hAGXMrZ+QA4AUuWPSRgw52NK/Dhq2wMAAJAbQqGQvDF5inH9tusurygW0F187gjp2b2rzF+4RJYsX1XrWH/8w+/l+isuiikW0HXp1EGuu/xC4/rH0740/TUAGZ+xqxbuW9WOMCZhgIIBAKmLaRegf5XoNuecRrXwQAsG+dUAAJACCgYAGyhvE6BzOS1sSaCMra4TAJKlHsz3mdSSQE8TUIul1BQDAACQG75f/JMU7fFL547tpHfPblXuP37o4cblzDnfZrSeXj26Gpebt23PaBzAdHEH7x0WtSSIaXXAiQIA0qAFlYIBj9toAWQKtWCAhAEAAFJCSwLAZi0JrIzhVsdW1wkAySoOqgkD5n3JqY8VioSrpBgAAIDcsHzVGuOy935ViwV0fcqKCFaUPS5da9dvNC5btWhe7WM+nzVPps6cK9FoVDq2byNDhwySbl06ZbReoFbxB+9dTutbEpAwACAN6sH8mDYCGVLHomAAAIDUUDAA2IDaHkBNATCbml5ASwIAmSYMmFkw4HM7ZXdJ1XUAAIDcsGHTFuOybeuWCe8vv3192ePSNfGtj4zLY44YXO1jXn+n9DHlnnjhNTlnxIlyyzV/FJdVfeVhe1o4rijWooSBmJYEYT5XA8iwYMDrMe0tVFsSiJpiAAAAakXBAGC3lgRKLLfZ1MjvEC0JAKSxrwooBU4FbvPOilKLD/xKigEAAMgN/uLSysD8fG/C+wvy80sf5y9Oex3/fe8TmbfgByls3EhGX3Bmlft777evHNi3lxx6UH+jQGHr9p0ye953Mu6l12XSu5+I2+2Wm8delvT6zrj42oS3/7pug3Ro21qKiorSfi3IQUX+ir6jmtMhe/bsSWoxv9+f2npKSir7m0ajUrR7t4hZceLICSlvU7Cf3UUV+5FInqPWv2dJb1OhYMW40UCI/RMy36aAJLFNwYptqrCwULLJumxyAPWzJUGWEgbCtCQAkKKSuFYBPpNbEpQrpiUBAABI0YIflsqD414y+izfd/NYadOqRZXH/OGs0+Sc00+ULp06SL7XK53at5VRI0+SCeMeELfbJW+8M0U2bt7Kew9rRJWz/Z0Wft0XP3Z8KwQAqIUjVNou0OA28XxGpSWBQ9PYPwEAkAISBgAbCCtfHLjV+ECTqWOH1C8rACAJfuVAfp7DEZNakik1rYCWBAAA5B5fQWmCQElJIOH9xSWlCQQ+X0HKY69c/Ytce9vfJRQKyy3X/lGOPeqwlJbvse8+cvSQQTJ15lyZt2CRnHHSsKSWe3fC09UmD0Sj0ayfcYL6LVISlrIOXOJ0u8SX4vaR7Pak5YdFPS+zsc9naqQ4cgf7KFQnoDmkvGTA3dgn3iT3P7VtU1qjaMz+qZHbK87Gqf/dh32wnwLbFFCJhAHAbgkD2WpJQMIAgBSpB/J9HqdxBp9Z1LQCEgYAAMg97du2Ni43bdmW8P7y2/Uo/1Ss3bBJxtxwj+wu2iNXXTpKLvj9KWk9Pz11QLd12460lgdqFVaK9i08USB+bC1Muy8AqdGCoYrrDiUVIFMOPQFFSSxQ1wMAAGpGwQBgA6FoZcGAy8JoQnVsWhIASJV6IF9tIWAGdTw1yQAAAOSGXt27GpfLVq5OeP/SFaW39yx7XDK2bNsul//lbtmybYf84axT5cpLzk37+ekFB7qCfG/aYwA10SLKZ9w8cz9LVzkgpxb20pIAQIq0gFIw4DWvYKDKeIGgqWMDAJDLKBgAbCCsTOCzljBASwIA9ahgQE8sqFwPLVMAAMg1A/vvL4WNffLbuo3y08qfq9yvtwPQDR0yKKnxdhXtkTE33GuMp7cQuGnsZWk/t2AwJLPmLTCu9+7ZLe1xgBop836HlQkDOmX8mEIFAEiGRQkD8eOphQkAAKBmFAwANksYsLRgwFk5dlhZJwAkwx+s/JKzwG3uRxS1AIGWBAAA5B632y2jRp5sXH/gyfHiLy7v5i4yYdJ7smLVGjlkQF/p26t7xe2vvzNFTrtwrDw5/rWYsYpLAnL1zffLytW/yInHHCF333hVra2SVv+yVj74dIZRHKDavnOX3HjPY7Jx81bp1aOrDOzf26RXDMSKOXDvsi5hQOdQxydhAEA9TRigJQEAAMmrbOoDICdpmiahSJZaEihnGajrBIBkqAfyfRa2JKBgAACA3DTmwrPl6wWLZOGPP8mpF1wlBx3QRzZs2iKLlq6QFs2ayL03j415/M5du2XNr+uMlgOqp1/8t/ywZLnk5TklLy9P7nz4HwnX98Bfr624vm37Trn1b0/Jg+NeMooSmjdrKlu2bpelK1bJXn+xtG3dUh69+4ZaCw+AtIUjWUwYyEu4XgBIRsyBfK/H3DeNhAEAANJCwQCQ4+LP9M9WwkCIswwApMhvYUsCNbFATzLQi6n4wh4AgNzi9XrkpSfvlRcnvi1Tpn0p02d/LU0LC2XE8GEydvR50q5Nq6TG2V20x7iMRKIy5fNZ1T5OLRjo0rmD/OHs02TRkuWycvWvsnN3kXjcLuP2o4cMkgvOOlWaFjY24VUC1VDn4OoBfctbEtDuC0DyNL2FaShsXUsCEgYAAEgLBQOAzQoGXMpBfbO5lGIEWhIASFVxyLqWBGpiQaQsecXj4gw/AAByTb7XK2NHn2/81OaqS0cZP4kKAdRigGS0adVCbh57WUrLAJa1JLA4YUBvSVDxTYO6XgCoTVzrHvNbEiiJBUrrAwAAUDOLM8oA1LX41gBuC7848NCSAEAGii1MGMiPG09NMwAAAAAavHA05oB+1hIGlPUCQG009SC+3qbH5P2VmlgQsy4AAFAjCgaAHKe2BtDPpbWwI0FMegEtCQBkUjDg8+SZvn/yKl9sqmkGAAAAQG4lDFhdMKCMT8IAgBSoB/H1dAGzWwXSkgAAgPRQMADkOLU1gDvPYWnPbn38ROsFgGT4LWxJED+mWpwAAAAANHjqyQKWtyRQxqdgAEAKNLUlgZIGYJqYhIGg+eMDAJCjKBgAbNSSwOW09r+8On6IggEAmSQMmNySQFegpBZQMAAAAICcoh64t7wlQeX4tCQAkEnCgNlIGAAAID0UDAA5LhyNJkwAsDxhQDm7AQBqo7cxUQucCqwoGFASBvwkDAAAACCHxBy4tzphgJYEANIVtLhgQE0tCIZE00hABQAgGRQMADlOPQCXzYIBdb0AUJtipR2BVS0J1NSC+PUBAAAAuZIwEHNA3wpKQYLGyQIA0k0Y8HhMf+9iihD0ryZDYdPXAQBALqJgAMhxamuAbLckoIoXQLLUFgFup0PcFpwVpaYW+INKZCsAAADQwGkxLQks/rpPbXkQ5nM1gORpgWDlPyxIGBC3u9oCBQAAUD0KBoAcp7YGyGbCgLFupVgBAJItGCjwWHNGlFowoK4PAAAAaPCUlgRWJww41OJeEgYApEBTWxKo7QNM4nA6RJRx1fUBAIDqUTAA2ChhQD9r10rx41MwACBZfqVFQIFFZ0SpbQ5oSQAAAICcoiYMWN6SIC9xsgEApNKSwIqEgbhxYxINAABAtSgYAHJcKKK0JLAg4lsVP766bgCoiXrGv8+ihAEfCQMAAADIUZp6pr/Fc3+HWuBLwQCAVASzUDCgJhfQkgAAgKRQMADkuJDaksDihAG9I4GjmnUDQE38QaUlgXJg36qEAT8tCQAAAJBLwpWfpx2uLCYMKK0QACClhAELWhJUSRigJQEAAEmhYADIcWpbAJd+RN9CDodD3Mo6aEkAIFlqiwD1wL6Z1EIEWhIAAAAgl2QzYSBmfBIGAKQg5gC+RQkDohQiqAUKAACgehQMADlObQvgtvpLg7h10JIAQDotCaxKGFBbHejr0zTapgAAACBHKAfuHUoCgBViEgxIFgSQSmGTmoZCwgAAAPUGBQNAjgtFs9eSQOdS1qGuGwCSLRjwZaElgR6+EuDLTQAAAOQAoxBWPdPf5cxiSwJlvQBQg/j2AA6vx5L3Sy1EIGEAAIDkUDAA5LhwJHstCXQxLQmUdQNATfxZaEmQH9fLlbYEAAAAyAl6Naw6/bY6YSCmJQEnCgBIktoewOm0rH2KQ211EFekAAAAEqNgAMhxIf2LgzJu/cO4xVzKOtR1A0DSCQNK6wAz5Tkdkq+cbVUc5GwoAAAA5AA1XSD+gL4V1IKEuHUDQHW0QDDmoL7DYc2JTSQMAACQOgoGgBwXVqr9s58wwJkGAFIvGCiwqCVB/NjqOgEAAIAG3RdcspcwoJ4VXGXdAJBMSwKlbYDplFYH8W0QAABAYhQMADkupLQFcDuzUDCgrCNISwIASfZcLc5CS4L4sdU2CAAAAECDFY4rhLU4YcChtvqKXzcAVENTWhLEtA0wmTq2mmoAAACqR8EAYKeWBFbHEhopBpXrCNOSAECShU3q/sLKhAEfCQMAAADINepZ/nlOy2K+1XVU0DTRohTiAqidera/pQUDanpBMCwa308CAFArCgaAHKe2Bch2wkCIaEIASYhvDWBtSwI1YYCzoQAAANDwaZFI9toR6Afj4tfB3B9AMtSEAQtbElQpRgjRlgAAgNpQMADYKGHAlWd9wYC6DhIGACRDbQ3gyXOIy8LipgJP5ZebahsEAAAAoMFSDtg7spAsKK64dagFCwBQxwkD4naJKEkraisEAACQGAUDgA2ivrPZkkBdh7puAEgmYUBtGWAFNb0gPtkAAAAAaIi0sPK51mV9wkB8ioEWphAXQO20QLDyHx6PZW+Z0ZbF40pYqAAAABKjYADIceFoHbYkoI8hgCSoB+6tbEcQX5BAwQAAAABygnKGfzYSBoyDcU5lPSQMAKhPCQPG+JUFCSQMAABQOwoGgBynnuWf9ZYEJAwASLElQYHH2o8mBe7K8f1BzoQCAABAbrUkiD/7PxttCTR1/QBQDfXAveUFA57K8SkYAACgdhQMADkuHFVaEqhnAFhEXUdIWTcAVIeEAQAAACB9mnqGv3Ig30oOtTBBbYkAANVRCwaUA/pWiClIoCUBAAC1omAAyGFRTYstGMhCwoC6jjBnGQBIsWBAbRlgBbXlAS0JAAAAkBPC0cQH8q2ktj5g7g+gvrUkiEkYCFq6LgAAcgEFA0AOi28J4HJmoSWBsg61HQIAVKdYbUmgtAywgjq+vl69sAoAAADImYSBrBUM5CVePwAkoOlJJGpxkcUJA6IUJKiFCgAAIDEKBoAcFt8SwK2eAWARdR20JACQDH8wkjABwArq+PoeMqCcjQUAAAA0SDEFA1lqSaC2PqAlAYBaxB+0z27CAAUDAADUhoIBIIfFtwTIRsKAW1kHLQkA1LeWBPlup6h7QtoSAAAAIKdaErjqImGAIlwAtVAP2uflWd4+JaYggYQBAABqRcEAkMPUM/zzHPqJBlkoGNBXlGD9AFAfWhI4HQ6jaKCcP8iXmwAAAMillgRZShhQD/bRkgBALbRAMGvpAsY6SBgAACAlFAwAOSwUqTxg78rSlwbqetT1A0B11LP8rW5JEJ9iQMIAAAAAGjzlDH+rz9qtoLYkIGEAQAotCbJSMOD1JFw3AABIjIIBIIeFo9GErQKy1pJAWT8AJKJpmvizXDCgroOCAQAAADR0WjiS+EB+tloSqOsHgAQ0tSWBcva/ZZSihJh1AwCAhCgYAGyTMJCdggF1PSQMAKhNMKKJ2r3E57H+o4na9sCvtEMAAAAAGiT1DP8sJQw41BRDEgYA1LeEAbUoIRQWjZOaAACoEQUDQA4LK0fh3M7s/HdX16OuHwASUdMFdPkuEgYAAACAlEQiddCSQEkYUNYPAAkpZ/nHHMy3SJWiBNoSAABQI1fNd8NMJYGAvDjxbflk+mzZsHmrNC1sLEcMHihjR58vbVu35M2G6UJKlb87SwkD6nr0goGoponTkZ11A2h41JYA+S6n5GWhfYqPlgQAAOQsM+fdu4r2yHMvvyHTZ38jW7fvkFYtmsuxvztUrrxklDQpbJRwmUgkIv9++yOZPGWa/LZuo/gK8mXQwH5y9aWjpFvXzia9SiBWzAH7LLUkiEkYoCUBgHqWMGAUNenfL5SdzKS3JXDke61fLwAADRQJA1kSCARl9HV3yguvvin+4hI55ojB0q5NK3n34+lyzh+vl9/Wb8zWU4FdWxJk4SBcovWElecAAPGKg5GErQKsREsCAAByk5nz7h07d8v5Y24yDv7n5Tll2JGHSiNfvkx860O54MqbZNfuoirLRKNR+ctdj8gj/3hZNm3ZJkcdfrB037ezTJ05V0aNuVEWL1th8isGyoSj2U8YUNdDSwIAtdAP2Gc1YcDhiFmPun4AAFAVCQNZ8sJrb8qipSvkwL69ZPyjd4nPV2DcPmHSe/Los6/InQ89Iy8/dX+2ng5sIqS2JFCr/y0Uvx79OXiysmYADVFxqPLLzQLlzH8rFXjyEiYcAACAhs3MefdDz7wkv67bIMcddZg8ctcN4iqLX//7Uy/K6+98JA//42V54K/XxiyjpwpM+/Jr6dKpvbwy7m/SqkUz43a9YOD6Ox+WW+57Ut57dVzFWIBp1ISBLM391fXQkgBAbWIO2Huz9E2hnmRQEixdPy0JAACoEQkDWRAKheSNyVOM67ddd3nFlxa6i88dIT27d5X5C5fIkuWrsvF0YCPhOmhJUDVhoPI5AEA8v3LAPlsFAzEtCZSEAwAA0HCZOe/esm27fDxttrjdLrntz2NiDvD/5cqLpUWzJvLR1JmybcfOmOVe/e/7xuWfr7i4olhAd/zQw+XoIwYZBQhffPWNKa8XUGnqvDtLBSkOdT3M+wHUQgsGs5owEL8eEgYAAKgZBQNZ8P3in6Roj186d2wnvXt2q3K//uWBbuacb7PxdGDThIFstSTQ+4+rtQnqcwCAmhIGfHXQkkBdPwAAaLjMnHfP/vp7o73AQQf0iTnwr/N43DJ0yCCJRKLy5bzvKm5fu2GTrP5lreR7PUYrgngnDB1iXM5g3g8rhCN12pJAU9YPAAmpLQn0M/+zwKEmGZAwAABAjSgYyILlq9YYl733q/qlha5P2ZcZK8oeB5glFMl+SwKdS1mX+hwAoD4kDKjrUdcPAAAaLjPn3eWP6VPNWL0TjLX8f6XXe+y7j7hdrmqXWbnql1r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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Original amplitudes: 2.0 at 5 Hz, 1.0 at 15 Hz\n", + "Recovered amplitudes (from peaks): ~2.00 and ~1.00\n" + ] + } + ], + "source": [ + "# Visualization 5: Amplitude spectrum with proper scaling\n", + "# Compare raw FFT magnitude vs properly scaled amplitude spectrum\n", + "\n", + "duration = 2.0\n", + "fs = 500\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "n_samples = len(t)\n", + "\n", + "# Create signal with known amplitudes\n", + "freq_1, amp_1 = 5, 2.0 # 5 Hz with amplitude 2\n", + "freq_2, amp_2 = 15, 1.0 # 15 Hz with amplitude 1\n", + "\n", + "signal = (generate_sine_wave(t, frequency=freq_1, amplitude=amp_1) + \n", + " generate_sine_wave(t, frequency=freq_2, amplitude=amp_2))\n", + "\n", + "# Compute both representations\n", + "frequencies_full, fft_values = compute_fft(signal, fs)\n", + "frequencies_pos, amplitude_spectrum = compute_amplitude_spectrum(signal, fs)\n", + "\n", + "# Plot comparison\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 4))\n", + "\n", + "# Raw FFT magnitude (only positive frequencies for comparison)\n", + "positive_mask = frequencies_full >= 0\n", + "axes[0].plot(frequencies_full[positive_mask], np.abs(fft_values[positive_mask]), \n", + " color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "axes[0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0].set_ylabel(\"|FFT|\")\n", + "axes[0].set_title(f\"Raw FFT Magnitude (N = {n_samples} samples)\")\n", + "axes[0].set_xlim(0, 30)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Properly scaled amplitude spectrum\n", + "axes[1].plot(frequencies_pos, amplitude_spectrum, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Amplitude Spectrum (properly scaled)\")\n", + "axes[1].set_xlim(0, 30)\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Add horizontal lines at true amplitudes\n", + "for amp, freq in [(amp_1, freq_1), (amp_2, freq_2)]:\n", + " axes[1].axhline(amp, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.5)\n", + " axes[1].annotate(f\"True amp = {amp}\", (25, amp + 0.05), fontsize=10)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Original amplitudes: {amp_1} at {freq_1} Hz, {amp_2} at {freq_2} Hz\")\n", + "print(f\"Recovered amplitudes (from peaks): ~{amplitude_spectrum[np.argmin(np.abs(frequencies_pos - freq_1))]:.2f} and ~{amplitude_spectrum[np.argmin(np.abs(frequencies_pos - freq_2))]:.2f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "e99fa71c", + "metadata": {}, + "source": [ + "---\n", + "## 6. Phase Spectrum\n", + "\n", + "While amplitude tells us *how much* of each frequency is present, **phase** tells us *when* each oscillation starts. The phase is the angle of the complex FFT output:\n", + "\n", + "$$\\phi[k] = \\text{atan2}(\\text{Im}(X[k]), \\text{Re}(X[k]))$$\n", + "\n", + "Phase is measured in **radians** (from $-\\pi$ to $\\pi$) or degrees (from -180° to 180°).\n", + "\n", + "### Why phase matters\n", + "\n", + "Phase is often ignored in simple spectral analysis, but it's **crucial for connectivity**:\n", + "- **Phase-Locking Value (PLV)** measures consistency of phase differences\n", + "- **Phase-Lag Index (PLI)** detects directional phase relationships\n", + "- **Coherence** combines both amplitude and phase information\n", + "\n", + "Two signals can have identical amplitude spectra but look completely different in time domain — because they have different phases!" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c7c7dcdb", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_phase_spectrum(\n", + " signal: NDArray[np.float64],\n", + " fs: float\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute the one-sided phase spectrum of a signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.float64]\n", + " Input signal in time domain.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " frequencies : NDArray[np.float64]\n", + " Array of positive frequencies.\n", + " phases : NDArray[np.float64]\n", + " Phase in radians at each frequency.\n", + " \"\"\"\n", + " n_samples = len(signal)\n", + " fft_values = fft.fft(signal)\n", + " \n", + " # One-sided spectrum\n", + " n_positive = n_samples // 2\n", + " frequencies = fft.fftfreq(n_samples, d=1/fs)[:n_positive]\n", + " phases = np.angle(fft_values[:n_positive])\n", + " \n", + " return frequencies, phases" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d69d7e51", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Phase at 5 Hz:\n", + " Signal 1: -1.571 rad ≈ -90.0°\n", + " Signal 2: 0.000 rad ≈ 0.0°\n" + ] + } + ], + "source": [ + "# Visualization 6: Phase spectrum\n", + "# The phase tells us the timing offset of each frequency component\n", + "\n", + "duration = 2.0\n", + "fs = 500\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create two signals with the same frequency but different phases\n", + "freq = 5 # Hz\n", + "phase_1 = 0 # No phase shift (starts at 0)\n", + "phase_2 = np.pi / 2 # 90° phase shift (starts at maximum)\n", + "\n", + "signal_1 = generate_sine_wave(t, frequency=freq, amplitude=1.0, phase=phase_1)\n", + "signal_2 = generate_sine_wave(t, frequency=freq, amplitude=1.0, phase=phase_2)\n", + "\n", + "# Compute phase spectra\n", + "frequencies, phase_spectrum_1 = compute_phase_spectrum(signal_1, fs)\n", + "_, phase_spectrum_2 = compute_phase_spectrum(signal_2, fs)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Time domain comparison\n", + "axes[0, 0].plot(t, signal_1, color=COLORS[\"signal_1\"], linewidth=1.5, label=f\"Phase = 0°\")\n", + "axes[0, 0].plot(t, signal_2, color=COLORS[\"signal_2\"], linewidth=1.5, label=f\"Phase = 90°\")\n", + "axes[0, 0].set_xlabel(\"Time (s)\")\n", + "axes[0, 0].set_ylabel(\"Amplitude\")\n", + "axes[0, 0].set_title(\"Time Domain: Same frequency, different phases\")\n", + "axes[0, 0].set_xlim(0, 1)\n", + "axes[0, 0].legend()\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Amplitude spectra (should be identical)\n", + "_, amp_1 = compute_amplitude_spectrum(signal_1, fs)\n", + "_, amp_2 = compute_amplitude_spectrum(signal_2, fs)\n", + "\n", + "axes[0, 1].plot(frequencies, amp_1, color=COLORS[\"signal_1\"], linewidth=1.5, label=\"Signal 1\")\n", + "axes[0, 1].plot(frequencies, amp_2, color=COLORS[\"signal_2\"], linewidth=1.5, linestyle=\"--\", label=\"Signal 2\")\n", + "axes[0, 1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0, 1].set_ylabel(\"Amplitude\")\n", + "axes[0, 1].set_title(\"Amplitude Spectra (identical)\")\n", + "axes[0, 1].set_xlim(0, 20)\n", + "axes[0, 1].legend()\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Phase spectra (should differ at 5 Hz)\n", + "axes[1, 0].stem(frequencies, phase_spectrum_1, linefmt=COLORS[\"signal_1\"], markerfmt=\"o\", basefmt=\" \")\n", + "axes[1, 0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1, 0].set_ylabel(\"Phase (radians)\")\n", + "axes[1, 0].set_title(\"Phase Spectrum: Signal 1 (phase = 0°)\")\n", + "axes[1, 0].set_xlim(0, 20)\n", + "axes[1, 0].set_ylim(-np.pi, np.pi)\n", + "axes[1, 0].axhline(0, color=\"gray\", linestyle=\"-\", alpha=0.3)\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "axes[1, 1].stem(frequencies, phase_spectrum_2, linefmt=COLORS[\"signal_2\"], markerfmt=\"o\", basefmt=\" \")\n", + "axes[1, 1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1, 1].set_ylabel(\"Phase (radians)\")\n", + "axes[1, 1].set_title(\"Phase Spectrum: Signal 2 (phase = 90°)\")\n", + "axes[1, 1].set_xlim(0, 20)\n", + "axes[1, 1].set_ylim(-np.pi, np.pi)\n", + "axes[1, 1].axhline(np.pi/2, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7, label=\"π/2\")\n", + "axes[1, 1].axhline(0, color=\"gray\", linestyle=\"-\", alpha=0.3)\n", + "axes[1, 1].legend()\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Phase at {freq} Hz:\")\n", + "print(f\" Signal 1: {phase_spectrum_1[np.argmin(np.abs(frequencies - freq))]:.3f} rad ≈ {np.degrees(phase_spectrum_1[np.argmin(np.abs(frequencies - freq))]):.1f}°\")\n", + "print(f\" Signal 2: {phase_spectrum_2[np.argmin(np.abs(frequencies - freq))]:.3f} rad ≈ {np.degrees(phase_spectrum_2[np.argmin(np.abs(frequencies - freq))]):.1f}°\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "7ddf8fef", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 7: Why phase matters for connectivity\n", + "# Two signals with same spectrum but different phase relationships\n", + "\n", + "duration = 2.0\n", + "fs = 500\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create \"brain 1\" signal\n", + "brain_1 = (generate_sine_wave(t, frequency=10, amplitude=1.0, phase=0) +\n", + " generate_sine_wave(t, frequency=20, amplitude=0.5, phase=0))\n", + "\n", + "# Create two versions of \"brain 2\" with different phase relationships\n", + "brain_2_sync = (generate_sine_wave(t, frequency=10, amplitude=1.0, phase=0) + # In phase\n", + " generate_sine_wave(t, frequency=20, amplitude=0.5, phase=0))\n", + "\n", + "brain_2_async = (generate_sine_wave(t, frequency=10, amplitude=1.0, phase=np.pi) + # Anti-phase\n", + " generate_sine_wave(t, frequency=20, amplitude=0.5, phase=np.pi/2))\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Synchronized brains\n", + "axes[0, 0].plot(t, brain_1, color=COLORS[\"signal_1\"], linewidth=1, label=\"Brain 1\")\n", + "axes[0, 0].plot(t, brain_2_sync, color=COLORS[\"signal_2\"], linewidth=1, linestyle=\"--\", label=\"Brain 2 (sync)\")\n", + "axes[0, 0].set_xlabel(\"Time (s)\")\n", + "axes[0, 0].set_ylabel(\"Amplitude\")\n", + "axes[0, 0].set_title(\"Synchronized: Same phase → HIGH connectivity\")\n", + "axes[0, 0].set_xlim(0, 0.5)\n", + "axes[0, 0].legend()\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Desynchronized brains\n", + "axes[0, 1].plot(t, brain_1, color=COLORS[\"signal_1\"], linewidth=1, label=\"Brain 1\")\n", + "axes[0, 1].plot(t, brain_2_async, color=COLORS[\"signal_3\"], linewidth=1, linestyle=\"--\", label=\"Brain 2 (async)\")\n", + "axes[0, 1].set_xlabel(\"Time (s)\")\n", + "axes[0, 1].set_ylabel(\"Amplitude\")\n", + "axes[0, 1].set_title(\"Desynchronized: Different phase → LOW connectivity\")\n", + "axes[0, 1].set_xlim(0, 0.5)\n", + "axes[0, 1].legend()\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Amplitude spectra (all identical!)\n", + "for ax_idx, (signal, label, color) in enumerate([\n", + " (brain_1, \"Brain 1\", COLORS[\"signal_1\"]),\n", + " (brain_2_sync, \"Brain 2 (sync)\", COLORS[\"signal_2\"]),\n", + " (brain_2_async, \"Brain 2 (async)\", COLORS[\"signal_3\"])\n", + "]):\n", + " frequencies, amp = compute_amplitude_spectrum(signal, fs)\n", + " axes[1, 0].plot(frequencies, amp, color=color, linewidth=1.5, label=label)\n", + "\n", + "axes[1, 0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1, 0].set_ylabel(\"Amplitude\")\n", + "axes[1, 0].set_title(\"Amplitude Spectra (all identical!)\")\n", + "axes[1, 0].set_xlim(0, 40)\n", + "axes[1, 0].legend()\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Text explanation\n", + "axes[1, 1].text(0.5, 0.6, \"Key Insight:\", fontsize=14, fontweight=\"bold\",\n", + " ha=\"center\", transform=axes[1, 1].transAxes)\n", + "axes[1, 1].text(0.5, 0.4, \"Amplitude spectrum shows WHAT frequencies exist\\n\"\n", + " \"Phase spectrum shows WHEN they occur\\n\\n\"\n", + " \"For connectivity, we need BOTH!\", \n", + " fontsize=12, ha=\"center\", va=\"center\", transform=axes[1, 1].transAxes)\n", + "axes[1, 1].axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "84c68cb6", + "metadata": {}, + "source": [ + "---\n", + "## 7. Frequency Resolution\n", + "\n", + "A critical concept in spectral analysis is **frequency resolution** — the ability to distinguish between nearby frequencies. The resolution depends on the **signal duration**:\n", + "\n", + "$$\\Delta f = \\frac{f_s}{N} = \\frac{1}{T}$$\n", + "\n", + "Where:\n", + "- $\\Delta f$ is the frequency resolution (spacing between FFT bins)\n", + "- $f_s$ is the sampling frequency\n", + "- $N$ is the number of samples\n", + "- $T$ is the signal duration in seconds\n", + "\n", + "**Key insight**: Longer signals give better frequency resolution. A 1-second signal has 1 Hz resolution; a 0.5-second signal only has 2 Hz resolution.\n", + "\n", + "This creates a fundamental **trade-off**:\n", + "- Better frequency resolution requires longer time windows\n", + "- Better temporal resolution requires shorter time windows\n", + "- You cannot have both simultaneously (uncertainty principle)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "bbfcae75", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_frequency_resolution(fs: float, n_samples: int) -> float:\n", + " \"\"\"\n", + " Compute the frequency resolution of an FFT.\n", + " \n", + " Parameters\n", + " ----------\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " n_samples : int\n", + " Number of samples in the signal.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Frequency resolution in Hz.\n", + " \"\"\"\n", + " return fs / n_samples" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "46890fbd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Frequency resolution depends on signal duration, not sampling rate!\n", + "To resolve two frequencies Δf apart, you need at least 1.0s of data for Δf = 1 Hz\n" + ] + } + ], + "source": [ + "# Visualization 8: Effect of signal duration on frequency resolution\n", + "\n", + "fs = 500 # Sampling frequency\n", + "\n", + "# Three different signal durations\n", + "durations = [0.5, 2.0, 8.0] # seconds\n", + "\n", + "# Create a signal with two close frequencies\n", + "freq_1 = 10 # Hz\n", + "freq_2 = 11 # Hz (only 1 Hz apart!)\n", + "\n", + "fig, axes = plt.subplots(len(durations), 2, figsize=(14, 10))\n", + "\n", + "for i, duration in enumerate(durations):\n", + " t = generate_time_vector(duration=duration, fs=fs)\n", + " \n", + " # Generate composite signal\n", + " signal = (generate_sine_wave(t, frequency=freq_1, amplitude=1.0) + \n", + " generate_sine_wave(t, frequency=freq_2, amplitude=1.0))\n", + " \n", + " # Compute spectrum\n", + " frequencies, amplitude_spectrum = compute_amplitude_spectrum(signal, fs)\n", + " freq_resolution = compute_frequency_resolution(fs, len(t))\n", + " \n", + " # Time domain\n", + " axes[i, 0].plot(t, signal, color=COLORS[\"signal_1\"], linewidth=0.5)\n", + " axes[i, 0].set_xlabel(\"Time (s)\")\n", + " axes[i, 0].set_ylabel(\"Amplitude\")\n", + " axes[i, 0].set_title(f\"Duration = {duration}s ({len(t)} samples)\")\n", + " axes[i, 0].grid(True, alpha=0.3)\n", + " \n", + " # Frequency domain\n", + " axes[i, 1].plot(frequencies, amplitude_spectrum, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + " axes[i, 1].axvline(freq_1, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.5)\n", + " axes[i, 1].axvline(freq_2, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.5)\n", + " axes[i, 1].set_xlabel(\"Frequency (Hz)\")\n", + " axes[i, 1].set_ylabel(\"Amplitude\")\n", + " axes[i, 1].set_title(f\"Δf = {freq_resolution:.3f} Hz\")\n", + " axes[i, 1].set_xlim(5, 16)\n", + " axes[i, 1].grid(True, alpha=0.3)\n", + " \n", + " # Add annotation about peak separation\n", + " if freq_resolution > 1:\n", + " axes[i, 1].annotate(\"Can't resolve peaks!\", xy=(10.5, 1.5), fontsize=10, \n", + " color=COLORS[\"signal_4\"], fontweight=\"bold\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Frequency resolution depends on signal duration, not sampling rate!\")\n", + "print(f\"To resolve two frequencies Δf apart, you need at least {1/1:.1f}s of data for Δf = 1 Hz\")" + ] + }, + { + "cell_type": "markdown", + "id": "f126af61", + "metadata": {}, + "source": [ + "---\n", + "## 8. Symmetry and One-Sided Spectrum\n", + "\n", + "You may have noticed that the full FFT shows peaks at both positive and negative frequencies. For **real-valued signals** (like EEG), the FFT is **conjugate symmetric**:\n", + "\n", + "$$X[-f] = X^*[f]$$\n", + "\n", + "This means negative frequencies contain the same information as positive frequencies — they're redundant!\n", + "\n", + "**Convention**: We typically show only the **one-sided spectrum** (0 to $f_s/2$), doubling the amplitude to preserve energy." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "889ee799", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 9: FFT symmetry for real signals\n", + "# The FFT of a real signal is symmetric around Nyquist frequency\n", + "\n", + "from scipy.fft import fft as scipy_fft, fftfreq as scipy_fftfreq\n", + "\n", + "duration = 1.0\n", + "fs = 100 # Low sampling rate to show full spectrum clearly\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "n_samples = len(t)\n", + "\n", + "# Simple signal\n", + "signal = generate_sine_wave(t, frequency=10, amplitude=1.0)\n", + "\n", + "# Compute full FFT (not just positive frequencies)\n", + "fft_values = scipy_fft(signal)\n", + "frequencies_full = scipy_fftfreq(n_samples, 1/fs)\n", + "\n", + "# Sort for plotting\n", + "sort_idx = np.argsort(frequencies_full)\n", + "frequencies_sorted = frequencies_full[sort_idx]\n", + "fft_sorted = fft_values[sort_idx]\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Full FFT magnitude\n", + "axes[0, 0].stem(frequencies_sorted, np.abs(fft_sorted), linefmt=COLORS[\"signal_1\"], \n", + " markerfmt=\"o\", basefmt=\" \")\n", + "axes[0, 0].axvline(0, color=\"gray\", linestyle=\"-\", alpha=0.3)\n", + "axes[0, 0].axvline(fs/2, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7, label=\"Nyquist\")\n", + "axes[0, 0].axvline(-fs/2, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7)\n", + "axes[0, 0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0, 0].set_ylabel(\"|FFT|\")\n", + "axes[0, 0].set_title(\"Full FFT Magnitude (symmetric!)\")\n", + "axes[0, 0].legend()\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Full FFT phase\n", + "axes[0, 1].stem(frequencies_sorted, np.angle(fft_sorted), linefmt=COLORS[\"signal_2\"], \n", + " markerfmt=\"o\", basefmt=\" \")\n", + "axes[0, 1].axvline(0, color=\"gray\", linestyle=\"-\", alpha=0.3)\n", + "axes[0, 1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0, 1].set_ylabel(\"Phase (radians)\")\n", + "axes[0, 1].set_title(\"Full FFT Phase (anti-symmetric)\")\n", + "axes[0, 1].set_ylim(-np.pi, np.pi)\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Explanation\n", + "axes[1, 0].text(0.5, 0.7, \"For REAL signals:\", fontsize=14, fontweight=\"bold\",\n", + " ha=\"center\", transform=axes[1, 0].transAxes)\n", + "axes[1, 0].text(0.5, 0.5, \n", + " \"• Magnitude: symmetric around 0 Hz\\n\"\n", + " \" |X(f)| = |X(-f)|\\n\\n\"\n", + " \"• Phase: anti-symmetric around 0 Hz\\n\"\n", + " \" ∠X(f) = -∠X(-f)\",\n", + " fontsize=12, ha=\"center\", va=\"center\", transform=axes[1, 0].transAxes,\n", + " family=\"monospace\")\n", + "axes[1, 0].axis(\"off\")\n", + "\n", + "# Why we only show positive frequencies\n", + "axes[1, 1].text(0.5, 0.7, \"That's why we only plot positive frequencies!\", \n", + " fontsize=14, fontweight=\"bold\", ha=\"center\", transform=axes[1, 1].transAxes)\n", + "axes[1, 1].text(0.5, 0.45,\n", + " \"Negative frequencies contain no new information\\n\"\n", + " \"for real-valued signals (like EEG).\\n\\n\"\n", + " \"We double the amplitude to compensate\\n\"\n", + " \"(energy split between +f and -f)\",\n", + " fontsize=12, ha=\"center\", va=\"center\", transform=axes[1, 1].transAxes)\n", + "axes[1, 1].axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9bf01337", + "metadata": {}, + "source": [ + "---\n", + "## 9. Windowing (Brief Introduction)\n", + "\n", + "The FFT assumes the signal is **periodic** — that it repeats forever. But real signals have finite length, and if they don't complete exact cycles within the window, we get **spectral leakage**: energy \"leaks\" from the true frequency into neighboring bins.\n", + "\n", + "**Windowing** reduces leakage by tapering the signal at the edges. Common windows include:\n", + "- **Hann** (Hanning): Good general-purpose choice\n", + "- **Hamming**: Similar to Hann, slightly different shape\n", + "- **Blackman**: More leakage reduction, but wider main lobe\n", + "\n", + "We'll explore windowing in more depth in A03 (Power Spectrum)." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "7567f661", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization 10: Windowing - why and how\n", + "\n", + "duration = 1.0\n", + "fs = 500\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create a signal that doesn't have an integer number of cycles\n", + "# 7.3 Hz doesn't fit exactly in 1 second\n", + "freq = 7.3\n", + "signal = generate_sine_wave(t, frequency=freq, amplitude=1.0)\n", + "\n", + "# Apply Hann window\n", + "window = np.hanning(len(signal))\n", + "signal_windowed = signal * window\n", + "\n", + "# Compute spectra\n", + "frequencies, amp_no_window = compute_amplitude_spectrum(signal, fs)\n", + "_, amp_windowed = compute_amplitude_spectrum(signal_windowed, fs)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 8))\n", + "\n", + "# Time domain - original\n", + "axes[0, 0].plot(t, signal, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "axes[0, 0].set_xlabel(\"Time (s)\")\n", + "axes[0, 0].set_ylabel(\"Amplitude\")\n", + "axes[0, 0].set_title(\"Original Signal (7.3 Hz)\")\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Highlight the discontinuity at edges\n", + "axes[0, 0].axvline(0, color=COLORS[\"signal_4\"], linestyle=\":\", alpha=0.7)\n", + "axes[0, 0].axvline(duration, color=COLORS[\"signal_4\"], linestyle=\":\", alpha=0.7)\n", + "\n", + "# Window function\n", + "axes[0, 1].plot(t, window, color=COLORS[\"signal_3\"], linewidth=2)\n", + "axes[0, 1].fill_between(t, window, alpha=0.3, color=COLORS[\"signal_3\"])\n", + "axes[0, 1].set_xlabel(\"Time (s)\")\n", + "axes[0, 1].set_ylabel(\"Window amplitude\")\n", + "axes[0, 1].set_title(\"Hann Window\")\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Windowed signal\n", + "axes[0, 2].plot(t, signal_windowed, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[0, 2].set_xlabel(\"Time (s)\")\n", + "axes[0, 2].set_ylabel(\"Amplitude\")\n", + "axes[0, 2].set_title(\"Windowed Signal\")\n", + "axes[0, 2].grid(True, alpha=0.3)\n", + "\n", + "# Spectrum comparison - linear scale\n", + "axes[1, 0].plot(frequencies, amp_no_window, color=COLORS[\"signal_1\"], linewidth=1.5, label=\"No window\")\n", + "axes[1, 0].plot(frequencies, amp_windowed, color=COLORS[\"signal_2\"], linewidth=1.5, label=\"Hann window\")\n", + "axes[1, 0].axvline(freq, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7, label=\"True freq\")\n", + "axes[1, 0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1, 0].set_ylabel(\"Amplitude\")\n", + "axes[1, 0].set_title(\"Amplitude Spectrum (linear)\")\n", + "axes[1, 0].set_xlim(0, 20)\n", + "axes[1, 0].legend()\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Spectrum comparison - log scale (shows leakage better)\n", + "axes[1, 1].semilogy(frequencies, amp_no_window + 1e-10, color=COLORS[\"signal_1\"], linewidth=1.5, label=\"No window\")\n", + "axes[1, 1].semilogy(frequencies, amp_windowed + 1e-10, color=COLORS[\"signal_2\"], linewidth=1.5, label=\"Hann window\")\n", + "axes[1, 1].axvline(freq, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7)\n", + "axes[1, 1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1, 1].set_ylabel(\"Amplitude (log)\")\n", + "axes[1, 1].set_title(\"Amplitude Spectrum (log scale)\")\n", + "axes[1, 1].set_xlim(0, 20)\n", + "axes[1, 1].legend()\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "# Explanation\n", + "axes[1, 2].text(0.5, 0.7, \"Spectral Leakage\", fontsize=14, fontweight=\"bold\",\n", + " ha=\"center\", transform=axes[1, 2].transAxes)\n", + "axes[1, 2].text(0.5, 0.4,\n", + " \"When signal doesn't fit exactly\\n\"\n", + " \"in the analysis window, sharp\\n\"\n", + " \"edges create 'leakage' into\\n\"\n", + " \"nearby frequencies.\\n\\n\"\n", + " \"Windowing smooths edges → less leakage\\n\"\n", + " \"(but slightly broader peaks)\",\n", + " fontsize=11, ha=\"center\", va=\"center\", transform=axes[1, 2].transAxes)\n", + "axes[1, 2].axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "9ad781b6", + "metadata": {}, + "source": [ + "---\n", + "## 10. Practical Example — Composite EEG-like Signal\n", + "\n", + "Let's apply everything we've learned to analyze a realistic EEG-like signal with multiple brain rhythms and noise." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "b3165e4d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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SZcTAmH//wv+IK6+9Xtx06x5xdGZWlCsVsW3LZvGg+99bvOz5zxT3OP1kjCojtNhJ9rS0AEpuCaMl3u66fmFVdfcPD4m753mznPuzcKkKRLDHStsBTEWVIApjVUyO4HJmQy0Ub8FRJv04DoXnSeSkpz9PKkcZKqTTdTzPXH9wQXz+qv3i3U8600t8Q7PDn0QJkyK3zK4ECyvcQhWqmwd3koHoaCjn1xzllEDXUe7zvpyT4a04nBIAwNoBANxW1So/++6FiliprkqRHgAAANCv18ROTgnEA3ZtED/fOyeu2T8vHn+Prbl9xgUA5I98r/T2GP/y2S+JH152pdi4YUo85Nz7ikc/9IFidGRYfPXi74nnvepN4vs/vtz3Lg4U1ABGhQ3EDqQcx0bY3U8FopzbFveKxftkH3St+kQVNmQHsCy2oTM9zXmSFuQqq7DKd3Fsy2gWnCetoUJp63ky/+ItWvj2ATlERTv88z4vF8JrJnt3P8U3RDSteb/mkNMDCdEoW7ta9+E6gfgGABRYOwAgA6eEDgUYcuLaMj4snyVvPbKE4QcAADCw10Ri96YxccLGUdlkc/meWaa9AwAAOCU45UN/+TZx9j1OF6OjQSaP4vMX/q/4yw98XLzrbz8mLvniv4hSCYps1iKR7FxdFdOjUPyl6gCmogYK6ennZEHIYhvGMn18A0Edn3kvtvnuSp8YKcqiWzm09QZprjdFHNspoBopLRT3k3iLjisfyA7/sJjeD2OpIjC4C+m0uagogYSutXp+RQmBU0IQfVTzGt9QyHUMBgAuwNoBAO6Y6SK+gbj3jinxg9uOiZ/eOSvO3jGNjwAAAEBfQc+qcyu1rq6JJBh/+MmbxRevOSCvi484dbMUrwMAQNbgTOOQc+57rzZBAvH833yK2H3CDnHk6Iy45Y47XW4SrGeVj2K600J63osavdHhH9qSo5BuTT3SuUpj6SOvvb/iWYqySAVxh5toFoxjunEk+umaQ1b/PmiJb+iDsaRYlOnRIX6nhIgIbi12QOSWZSk+I6eEgpf4BiWUkeMYHu8ADCpYOwDADXRvMF9e7aoA86DdG+VV/bajy+LuBURTAgAA6C9mlmvyuWtkKGj0WI97HT8lNo6V5HrBtfvnWfYRAAAgSmCiNBRcCIZL6NbnLaYre/d8L8b7hCygi6HjBFkWU6cbSNEl2EfFtoVyTbzropu8dgDLYnofjKVv0VHeLcl9Q0VK5cyD+Zi2ABwRb/WRUwJdS31cb4jJPpiXJD7bMFryUEhvjW+g45wcpPLK4YWKLNiQGM1/fAPr5gHIFXlZO7jt6JJ8HgDAdwGGGC2R0LrzEuem8WFxz+Mm5dc/hVU1AACAPkM1bdG6s3r26gQ9lz3k5E3y6/+7YwZr/gAAFiBKYOCrF31P3H7nPnHyiTvlf4PGt248LC658bDXjO/FKlY+0xaJqLOOFufLWEVOXUzvl/iGQ56y0qOdq0FnOo5v67GMFIDR4Z++cIlxdFhI7xNRAnX4EzXuYnp47Sb6QeBB47hhrOTJKWENGTuQU3EmCWMoQ/v0rROhU0KdffuIbwCgf9YOrrxrTvzb5XeJ//7FQd+7AgacZnb2eKmrAsyDTwqKL1fvmxMrcNwDAADQR1TCpogRgxiGB56wQTor3L1QEbccWcpw7wAAIKC3pfc55VMXXChuvv1Osby8Im7bs1fcfNud4rhtW8T573yjGAq7HjrxzJe+Xvv9PXftFyfuPF7Mz/eunc7SUvvF64e3HZN/PmTnKOu+VFdXxcryoiiJVXFsfknMz0ODY8NKeUXUajWxuLAgxkpFcejYnNg0lp9Th25O+oIW5BcXFkWhVhPzK9WePpa74ej8ivxzZnZOCoC4KFfKol4syPErNWpiZqEm5ufzPSe/d/uc2DE1LO65bZxtP5TrCR3bI4W6ODK3KObHIPCwoVyuSMHRanlJFk9n5+ZEsYtF0V6hV86TlHNPyGO7XhOzi5XcnyfnlgPx1rG5eTGxTveeSyrVqiiXy3L8CqsVsbCSr7GMz0nafzpH3s187VxcqohGo762zcaqWFhcEvMj+RN5HFyoilJRiOHVFVGv1cTS8grrWK7W62J5eUnMl2piZbkm79PzPCd7lelpZKTnjSzXDnYdvz2T46yyWhffuiFoOiAb/Lzd94B8knQePnAs+P7UcPB8uB7bhhti63hJHFmuictuOyTO3Rk4JwDgg7zcXwDQLZjTfpldCNZphwoNo3vA+x43Ln6+f0n84JbD4vhRrAtGwZwG/Tinpz2vG+SnipMjfnT5VeKyn1/T/PuuHdvFX/7pH4p7n3W6GFRGyR/cUzf1eKkoM3RBmnEMoLGkrvRNYxhN+670tXHsmw7g0JWE13Ei2B4JZY4s5d829mf7lvhFCeGfck4OF5ufJ7C1JRdiuFiQRb+VWkNMDGNx3mYc1amECvh9cZ4M7z9k7EDnmGPn9FNXOglWpkaGxL75oBvSq1NCTseSii/bJ4dlFykdZ9xvIzqW1LjDbB4CQM+Sx7UDum9djDwHHF6qieMmmS9yAIQoJ0d6LuwGug6es3NCXHLrnLhy/5I4Z8dEVw4LAAAAQK9TCR+yyPnABLouXrF/Sdw+UxGHFqvyuREAALICooQM+Jd/eLf8c25+Udx06x3in/79P8XLX/8O8QevfKF41W//1rq//9///qGOXRC+lSzd0LqPB2TuO/t+Fw6J6alJsblSFPPHlnMxbr3I8GhNjNQKcvymx2aFKI2K6ekpkTein/9FNxwSG8eGxUPD3CwuGo0DYnpqSkwXqMByWExOTeW6q6hyMOgAHp2YFNOjfJeT4eEVMToSnFM2TzXEgaWFXB7f8fPk5Ogw6/sIctEPig3T02LjZEUWiPI4jr3A8MiKGB0qig0bNoiJkSOiODIupqdGRN7w/fkXKzW5KEz7sa1WEuV9/tW7aSnXDopSsSBGxydY50RxaF5MjI/J8ZtaKYpCsZzLsVT7XF49JI7bOCl+dYT3fYxXlkRpaLG5zdGROTEyGoxr3lg4UBY7No7LfR8dXRbDIyXW91EoHhGTk5NienpM1EtV0WgczeU45nGfweCuHdTrdedzdr5cE5fvO9gsApNo7Gh1SJyOYwMw0Tanh8ryj6mx0a7n+4PHJ8UP9iyIYyur4u7KkDhjG9wSgF9wfwH6DcxpPxSOBY5+E6MjRp8B/ei9jl8Rvzy4IK45XBXP3LElw73MJ5jTALgDfvYZsmF6Ujzw/meLj/3NO8TZZ50uPvKvF4hfXH+TGERGu1StZ9G5OkndljnPUvZJtCu9X/LSf3z7jPjR7UGsCL9TQkEWL8nFYyXnXcDzK7W1DmBG6mItd57m5HIfzEmT7h7X8Q00lhPDQ31xnqSIlL0zgV0d//UmPE/SWPbBnKSiA3/m/FonNR3bizmfkzR+1XpDirbI6trH9YYgJ5tAhJTf45rO8xvGSvxzMjKOTaeE8NyZNw4vVsW2yUAYQ/d1PpwSlBMKzcm8jiMAg7528J2bjsh7/92bxsR5uzfK7901y3/vBYBC3WONlApG61MP2LVBfn3ZnhkMJgAAgL6gEjo1mjolEA8/JWjcu2bfvFgo59+RFgDQu0CUwMBwqSSe/GuPkAWg7/34cjFIKIvbMcYc5ZYFeVHom0K6WpjnhuatupWZ7IMikYIz2zteAKYCRz+MJRUtiVq97q2wITu0ci7u8HWeVKcTGsrJPjlP3nRoUXzisjvZtyuL6U2hTH8I4f7ue7eJi8K8aB8iOHWOVOfOPELdoyRCo/MUt3hLXrsL+S+kE1feNSe2T46I6dEhr+OYd4HH0aVKRJTAf0+pYtWaooScjiMAg7x2cGC+LM/JxJPO2iZODDP9IEoAvVGAMXuWevBJgajmxkNL4vBi4AAIAAC2XL1vTvzywDwGEPSEUM+mOXT3pnFx4sYxuXbw0ztnM9g7AAAIgCiBiU0bAxX2sZngIX5QWKgoZR2/Rb1aSJaihD4oEFGX4Lsvvpl/ETkspPdL56qCIkU4UWvv0S7gvBeB1XHFXiQKBUf90m25dp4UHsYxEMn0i1PCfNnPe2iQe0f4NY1lv5wny+Eir49xpEJ+ISzs5/m6PT5cFMNDBfYO/6AAHFDKeQH4ugML4lGnbRHDQ0V+x4nIOOa9mE75oqpjxotTQsTlKLh2rwk2AQD5WDv49k2H5f3jvY+fai5cE4cWKmKl1h/3PiDH+dmGBRgS6t1jexDb8JM74JYAALDn9qPL4svXHhRfvOZA3zh5gnxSrtldE+NuCZfvmWVfwwAADA4QJTDxs6uvk3/uPmGHGCRUYcbHhUzFN8gCUR/cFC6ExTbuDr1oZ1s/FC7V+NF74UR9avEu4DyzVK3Lbkv+YlusAzjn98nzK37EHSRwigqO8i6SIdQCAHehqyW+oQ/GUo0fnad4t7smggscZUq5Pk8uV+tibHhIFtMpxsFffMOaI0ueO/yHvBTSNfENOR3Ler3RvAehazf3eTLqKEPjSDBf9gDIDb24djC7UhU3HVqSX//6mVvln1OjJbFprCTPlftmy573EAwqSkRL7lSmPPzkoPhy1b653K9zAAD8QPfUl9x0uHm/u28O10PQA5FGFtdE4p7HTcl7O1rTunofnD8AANkAUYIjrrz2evHDy64Q9ZiNebVWE5/90tfF1y7+vhgbHRFPftwjxSChbNW5i23RbmrqiKftc3fXuWYx7Kb2aV3cDxbvKnKA27wjGt9AUOdsLedzci3j20cBWPSNU4I6tv0LjvI9H0Wkq577ktPiKNMH4i01jjaWf67EHQS5DOR5LP06JVABOv/d/XRenF2piS0Tw54iB9bGsek6kdNrDu03zQV/Tglr1xzaDfoqr/MSgEFcO7h2/4I8jk/ePCa2hlEwxAlhhMPe2RWPewcGmTRW1adsGRc7pkfk8+zP98KqGgBgzo2HFsWdM2vXQEQagV6INLIR6hH0vPiQULBHLkI+YqQBAP1PyfcO9At37N0v/ux9HxabN24QZ591uti4YVrMzM6Jm269Qxw6ckyMjoyI97z19WLHcdvEILFSXQ0ygJkz56NdwHRBHS8VxXJlVYyMF3NvSx4UNoa8FNv6obt/fsWXuCP4U9U2goxvkVuokECFy+NpEcdHB3Af5VJTNzXBXrSMRbNQAZXOm6qTNu/uPKUi43mSrjdibSyPLVdFnpld9iSUicQ39EPsQCBKGJLnKT8xN9HrTT7HcXa5KoU+VGigBRaaDoFYssA+jgR9ltzHhStot5VDQSBK8OdyRJ9fP1y/ARiktYNr9gVREvfbGURLKE7YOCZjdlCEAb4LMCqiyAS6Hj3s5M3iwl8cFJftmREPO2WzvP8EAIBuoPWTS246Ir+mtW9at90bESgAwE05hVBPce6JG8T3bj4qDi1WxC2Hl8SZYdQRAAC4AqIERzzoAfcWv/viZ0urxRtvuV0cm50Xw8MlccKO7eIJj3m4eNGznypOOnGnGDSWa3WxYbQkZsJCMCe0zKmeJ5Wd9sbxYZFXFsIOf36L97UCMBVXVAE1r/iKFFGFjTU77XwvxlNuLC3YULGIeyyjsQN5tyVXhUsp3vLogkKLeFSkIncbOl/mlbmI6IjzdE/13mY0Sx84JZBFM8Hf3b8mlOkHJxS6XpJTAr0F/vNkf1xvSOCzeSI4mNXciAsFON07grEUuYTmQDFcm/LjOhETeORYLAPAoK0dHJgvi4MLFXnc3nvHVMu/nbgxdEqYWWEVjQEQL8DY5mffZ+e0tF6nYuJ1B+bF/Xe1Cm8AACCJa/fPi7sXKmKsVBRPP/s48bkr90uRHq6HII9CPcVYaUicc8IG8ZM9M+IXB+YhSgAAOAeiBEecuPN48frffbGrl+sbaEF+eqwk1XXctFiTj+S/SNR0SmB2naDOVSXuyHvXqhIlBIV0fwXgvBeJosW2EmWl+4hv6KOihjxPjpa8CWUIWkCeGClK8VaeRQlr4i1/Y0mKdJVtm1dUTI8XEVxbATi/x/fNh5fEWdsnxZGliqj4uOb0QSGdFlWU9aQS/nA6ukgRXNwpIac2R/RelFNCwVN8Q/Rz6wdRIQCDsnZwTZgpfI/tE1KkHmXnhlH5rLhQWZXi0Dw3AYB8Uqk1UuVn0xrHebs3ie/cfET83x0z4n47pyGuAQCsC7mn0XmDeOSpm8WpWyea10OKn9uE6yHwGGlkK9RTnEjxXHuCJgEAAHBNfr3sQY7iG4LMeVog91UEpiJ03mMHFsLceS8F4D7IpY4W2zaN8xeAA8eJNUi0mudiOol86LgalrbkdW+FjX6Yk8u1VbFhrMQfgxHp7ifo88y7eKtZTGcey1b3jv4QyhD8x3aj5cZUio5yenwfXarKLplzTtwg5wR7V3rEWSDP4i265SmGykglkOScEtFxzPucpMNZnfP9OCX0lzgTgEGBzhXUCUrcT9NBToXg46dG5dd7Z2FZDfwVYNJYVT9o90b5XLt/rtySDQ8AAElcsXdWzCzXpOvlQ07e1HI9RKQR8EU5FOqluSYSm0NRzbEw2hMAAFwCUQLIPr5hrCQXdbkXxKOdq6QQ5O5SdM2ickrwYacdjmQ/dLVR0XWjjwJwJLoh77nU0az0YXJKYC+mtxaAafPcxRXXBWCKufHi3hH5+9hwUazkuMOf3g8d38FY+ogdiAplRK6h41uOowehTHt8g8glhxcr4ripEbk4RddQ9q702Jyk6w23ONRdd3/wNb0f+pLzfK+Nb8jhODbHsinw4J+T7eLM/I4lAIPEHUeXxVy5Jq2pz9w2of2ZE6ibDqIE4AFam1DP1LZOCcTkyJA4I5zfKCYCANaDnqsu2zMjv37kqVua558TNipRQhmDCPw6JaS4JhLUzEfMr9REjdmxGQDQ/0CUADJ3SqDuW1pQ9tPhX+ib2AHqAKZ3wz6OIlIA7oMFZHLMIFtR/qJlf3UI0uIk2fwPDxW8xzcQeR5LWQAe8+DeEe8AzvmcpDxZ2vupUQ/xLBERXJ47qVujl3yNY3/EN1Bkw5aJoLugWAyuAZzQ9tRNvipE53Eo6fNXTgnNYnrdn3grr/eTJEgIXIaEP6cEjTgzj2MJwKBxTeiScO8dU1KMrOPEZhEGHebAT/HFhVX11skR+SesqgEA63HHsRVxeLEqRoYK4gEnTLda3kOkBzzHH7q4JpJYj+Y3Pa2RIwgAALgEogSQKSuecudpEbnVujjfVvnNbuqxEnt3fTy+Ic/d/c34BlkA9le0zLvAgwoZP7ljRtxXLk76jW+gwgp9ldexjIoS/Bzbhb6Yk9FIEVKE+xQd9UOhjQSFfhwnYuKtQpDVmUeOLlabi9s+utLj90BEHuclnZOU+Kwp8JDvjodoIb/pGJXD86T67H06JejFmbz7AAAwg+4Drju4IL++38726AbFCRuDIsy+uXIurzUgv5TD4gvdK5Bw0I1VNfKzAQCd+fneWfnnfXdOi7HSkOZ6uILrIWCH7sGU2+VoSqcEWivcpK6LS7guAgDcAlECyLwAPOYhd14thTQ7V/ugmK4Kl9FuAD673ULfWOVT4ZJurHw6d+S9cDlfron5lVVxr+OnxHDRb3wDjWneCxsk3vJWAI78Pc9zkliq1L26d6h10LwWLXUiuN6Ib8jnWB5dqq45JTBHDsSvOfI8mVPREZ0WVSHdRzFdJ97K4/0kffaFmKDPi1NC5O95nZMADAL0vEQC5E/85E5Z9KXou5M2B4UWHdsmR2R2Md1/HVqosO4rGGyaNtWldIIEYnN433ZsCR2hAIDO18hfhoK9B564sf16GDblHVrE9RDk1z2IgFgPAJAVQUAMABlwcL4sF+VP2DAqSlQkYlzEVWucrRnf+V34pH1fCReEfMQ3NItt4XjSQrZa2M5b9++RparM+aaFcBrXaLGDy0q7OSdzKjYllSwt2tDxRcPHbUvelkud4+ObOnFI5LFlcljQoc06JzXxDXkstkVFcOSUQNbCVebMu2jsQF/EN9RWxfTouBcXlH6Jb6D5ODkcdM1Q/AD326DrdOt5Mp9OCcH9xtrfpcCD8X3U+yW+ob4mSCDoa249QD+JMwHoV+ie/qIbDouf7pltiobovuYJ99jW8dmP/u34qRGxZ4bsrCtix4YgzgGArKnU3HSExosveV3vAABkz1X75uS6yc7pUbErdr2j88aujaPitqPLMtJoxzSuh4BflEBOiWndg1rEenAQAgA4BqIEkBmkHJVWVsND4eInp91usK21ztV8d2Ot1FblDQUV3Pi7qVvjG6RVfp1ucETuuGrfvDhl87jsXqX3UfNcAM7rnKQb0mYHsDdb8v6IHaAutHNO2CidEugdUTF9qLhm/5d9d38h98W2lviG0Cmhwu6U0F/xDeSU4EMEV2+Lb8jvWNJ7WbPK99SV3geiIynUaolvYHZK0F278ziOcj6u/d3LnIwJTGh/8jgnAehnLr31mPi/O2bk11RsOeeEDfJ5nu6vuskeJharq5nvJwDtTgnpFyfo3peuU3RtWigHLpUAABC/n1XRDQ/cvaFlXSoa4aBECXEnBQA4hHouroktYj3ENwAAHIO7bJAZRxYr4uQt45HFT77BVttqxjcUqEhVz7Ut+fhwMewA9lBs65POVXooOH3rhHxwCCze69JqlK27P15Iz+k4kgOKujmlfG8fhY3WIlE+O4AJ6iY7Z1fwMCvjURhPUyTearPSzuk4quOb5mV5te6hmL52vZHijpyKZKKuMtM+nHkiMRh5F2/RLYcS/dDx7SW+QeRfdES7TEIEX8X0funuJ3eJYpu4w298A81PbqclAEAy1x9cEN+5+Yj8+qn32i4efNImo+FSwgUSiQLABcWLECMOnBLoGk/ChGPLNSnChygBABAncASqipGhghTt6ThxYxB3tHdmBQMIvFwTXbgHEZvHg7LhzDJijQAAbslhrzPIC2STv3ViJNJN7Tu+QeSW5aYteVBI56SfOvwp0237VDAnS0VegUcg7hC5L2wQtFCzeaLULCpwWmmvFdv6YyxbcueZi22BUKY/jm16+CIbxfNO2iiGi37Ok6rgl+f5SMwsV+X1kgQePmMw8n7tDpwShBdhZlN0FHedaOS0wz/yRgKBh8cYjNyOY3A8tcZg8O5DXJzp47gAAOg5MF8WX772gPz6wbs3GgsSok4JECUATlTjiatGg6ZVNbpCAQAafnZn4JJwnx3TYqykdxEipwTi7oWKqIRFYgDy5h5EIL4BAJAVECWAzAqw1AG8bXLEy8IjLca3dVtyr746zqYeb4oSPBSA+8BOux7OSSVKoPnBGynSOo50j5jHcSTowUopb+kPH/EN0Y7P3BaJ6g1ZAN7sKQpD3wEscsmhhYrsZqJCunSU8RnfIOcj7/nFJdfunxdnHTcprzk0jqznSZ1QJqfnSRk70Ixv4O8I17pO1PM6jsKfU0IkCizP4yhFMnGnhDDqjAM1/6PHN11/8nqeBKCfWKysiguu2Cejr07dMi6efM/tVq9DAnr5eohvAF6cEtxEMio3wKPIzwYARJgv18S3bjwsrjswL//+oN3JsQy0LkHxnHSXu3++jHEE/KIER04Jm8Jr4kqtLpslAQDAFYhvAJmwVK3L4tr06JCXBfm2TuqwSJRXbjm8JHZtHA26+1d9d67ms5g+v1KT83Aq7OLxXgDOaSG9PSu90APxDfksXM6uVKW6noq/RIG92NY/8Q1HlipNZx5ak6x6scoPUMcGXXNKbtZHWdk7uyLuddxU833QlHC0zmvuKFMoiHIjhxXgsMNfiae4rze6+Ia8nifpnEj3Pgrv1+5iQWZN5w367CPDGIwja1xQQPT4lgITvl0AACRw5V2zYmalJraMD4vn3n9ni6uKCXBKAH3RFYr8bABAhLmVmvjuzUfE1fvmm+t3Z22fFLs2jHYcpxM2joq5u2sywuHkzUGsMQBs8Q2OrokkbqA19IXKqnQQGt+odwcBAABT4JQAMqG2WpcW2moh1/cicl6zlNWC/DX758W5J2yU74N7MVxaF/eBxTvlzI+VipE5yV8Ajp5w81og6oVim7SA7oOxXKrUmwu4a+It4bUrPY/FNoJyHbdODnuxd19zQlk7txB5nJPRSBH1Pri70tvdO/I5joGYw8/1Rm6/X+Ib6rHYAXaXo1ahjI/PMhOnBA9xQSJ2fAdOCWy7AABIQNnU33fXtJiI3Jeaon4X8Q2Ak0qt4bQrVMXqHYNTAgADz0K5Jj75073iirvm5HPUSZvGxAvO2Smef87OlntaHcdNB6KFo0uVgR9HkF/3IAIRDgCALIAoAWQCdYiSNWxzovnuAM5xYWN2uSbfy7bJoEjEvYDbZgFdyGfhkjoCfeZS95MtuRzLplMCf4GmrXCZ0w5/mZXu05a8rZM62Ke8OyV4mZMR8RbNzbzOSXofVJygBVk1M3jPk3ERXH7FHdHOdG9OCX1wzaFjORrX40fkKryJx1yKO4pe74GCjUXvJ32cqyl+6uu/vJt1mwD0OnPlmvyTrKbT0BQlwN4XMDceuOwKhVMCAECeW2p18dkr9kmBEp0XXvHgE8UrHrJb3PO4qZZ76nXdg6rwBQN8UBSXS/eglusixHoAAIdAlABYOrK8F4AL+S22HVqsiO1TI3IMvVjlt8U35LOwIbv7YwVg/kiR/ohvCJwShL+u9LjFu3TvELmjXvdcbCP3jshA5tlRhrryplRcUJE/pzw4T4rcCzzmy6vy2kmLKME1h7+buj16KX/jGL8P8ibe6odrd53G0bN4q+V+NsdOCT5FcOGf0eObvuYeyoVKTXa7AQBaramJjWMpRQlhHBndk3Hfh4HBhcRmLp0SVEcoWVWr1wYADBb0/PGfV+0X++bK8tr22w/cJU4yjGCYjFwTAeBCXbdGHV0TiU2INQIAZABECYApu9ZDYaMPMoCJQwuBKGFtHHm33965SoUN0QfWxbwF4DYr7ZyOoyqmR4ttXgrAfVBMD5wSPDrKtIm38jmOa4XLaAGYd/u6a04ex3Im7ATxFr0UbjPv49ick01HGU/irbjrRCOnTglFv+KtlvgG4ccp4fI7Z8UNdy+kuy+P3QNxxwUR0fOkD6EtPQvQf3kUlgCQtShhQ1pRQtgVSkJhZR8MQNZUwgfqkZIbq+rx4SEZ+UigKxSAwYOeob5y3UFx85ElMTxUEC86d5fYOhmsx5oA9yDg0z3IpVPClong/vDYcnC/CAAALoAoAfRlAbif4htabMmLHpwSYvENsgCcw8VcaV3cSwXgHM/JaDyLL1vy1sJlPi3eaZd9OiUEXemxAnAOj+3mWKo5KXycJ1tdJ/Iq8KCF3egDLL+jTKMvBEf0PuR50qdTgsZ1Io/iTBrHVuctHyJX0br9Zt8/H3fNrshurfyK4Frvy9c+S8GKOgZUEQuAQae6Wm9aS0+njG+gTnUq4BCIcABclDPoCkV+NgCDy/75srhq37y8V37u/XeKEzeNWb2OEiUswikB5Ng9qMUpAfENAACHQJQAWLJrfRSA+8WWvLraaBaJ6P/ZC8BxC+icFtu8C2X6KL7Buy15PL4hp2PZbkvOW0yX4q2+EcqsjSW59Pg5T/aDeMu3oLA/4hvUmKm1AO6udJ3rhPwsc3h8Rx0nvJwn6X4yMit9fJZqHNIU0n2L4IL52Po9OZbMAo9amPVUqeXvWAAgC+bLQdfbcLEgxofTLw0pu2oUYUCe87O3wKoagIHl6GJV/nnixjFxj+2TqSONlqurcOgCbKjnxVGH10Ry0iRml6uYywAAZ0CUAJiya3kXw+MZwHktbLQX2/iz0umz7IfCZWBdLLx1W/ZVATgSz+LDKYFus+NjmccO4LgtOfucjHUAl/rKKt9DV3ofxA4EjhPC85yMj6PIHWrM/DoltF5zpOuFyKsITvh13vJ476Cga5wqvLgRwfk9tn05JajzMnWHAwBaoxvix6gNTbtqdIaCHOdnwykBgMFlNhTrbUwdaRSck+jWE5FGgAs110aiD34poXtEejl6FFX3jQAAkBaIEkBmhfS4UwLnuqM+vkHkkrr3XOpY52pOc6nbrYv5nRJa7N2LazbCecO/U0J/FIB1Xem8Gd90nuwP8ZYUeBR8nid1oiORUxGcz670/hBv0TjS21Bzks5X3OfJIJ5ljWAfRE5FcLH7SY/irWD7wo8oIUVGe1wExx8X1B7f4MN1AvENACSLElygOkNVJAQAXF2hIxl0hcKqGoDBY25ZXReD84AtpWKx2a0O9yDAhRKxu3RKoGe2jeF1cQYRDgAAR0CUAPrWbrcfChtENJea/p+9ABwWM3If3yCdEjwWNvokBoNozUr3VACO/D2vxfTATttj52rMTjuvjhMErUd6Fcroju9Gf5wn/cY35FQER/MxVkj3EiniMUbLFTRuvRS95EvcUavXU8U36KNZmO+BYqoEH/e0a6KE/B0LAGTBrGtRAjK0gbeu0AycEpbQEQrAoDFXdnddbAr14B4EmKhkcE0kINYDALgGogSQCfHsWvqSs2u0XwrpTaeESHxDb3QA528saf3Zp1NCPAYjr5nza+4dwp9Vfqy4UcxpVzoVR3y7d/RDd/9aZNCaUIb70OoXIZz+PNng7e7vAxeUqJuMv0iReOwA/3GRRfQSv3grFoMRjq2PcUgjSvAugtPEN/hwnVDnkzSuEwD0ZfFl1K0oAQUYwJ+fXcik+JJHQScAwJ7ZlaqT+IZohMNSdRUfCWChnIF7ELF5PDgeINYDALgCogSQoVNCZKLRYjhjgEPcJlYWNnL6QCmjMIp+rfKjJ4q8dlO351L7WJAXuS+2xeNZfORrxztXfRWJXBbSfczJ4DyZ/wJwvHDp4zzZfs1ZK37lCX3uPN/26TiOu3fkdRyLLfdAnpwSIn/Pr1NCb4m3pFOC8BXf0MhxhFV7fIOPWBPENwDQynzolDDtyClhUokSUIABDNA1RDnfuOwKpWIkXTLpmrFQRjERgEHCZawRnBIAN0p4PeraKUE5CCG+AQDgCIgSAFOXIHVX8w12XxWAI5a7Xqzyda4TOSxstOdSMy/Ix+zdafu5npM+u9JFa+Eyt1npEXGHtzkZPU/meU5GCm4+5kMQhdEH50lN7jx/zI3I/TjqnBK4hVPxznT6KodD2RY7wC2Ek+4dLdduPyK42mo6p4RAuOVvHHXxDXIsBS+IbwBAX3xx0RFKoAADOKlGonhcdoXSM4U6JlCAAWBwWI0IkVyIEpRQbxHxDYCJSmZOCRAlAADcAlECyIT44qeX7NqWDuB8dq0285S9OiXo4htEPm3JfS7Ix8aRumhzOiVb4ll8uXe0jKWnIlFaSKjVW+4dQVE6j9BY9tKczKsQLogL8t2VXsi9Mw9dI312petcJ+Q+MJeAl6ur4l0X3ZTq/EzXbr+Cwt4QwdG5OW18Q3xOcp4mpetWTJUApwQA+i++AQUYwIm6LtLVZTh6sXbZFboUWLkDAPqf+XJNPi3RGo26njmJNIJ7EGB3DypkI0rANREA4AiIEkAmtC9+eraALhRELafFtmg3tY+u9KBLsD+KbW0FGsb3EUQORLYvKNIkn8X0qMW7j2JbvHNVCkyEyH1XOnexKy7eKuX02I47JfhxlGmPDMplMT1WAObvpm4dR9p+oy9cUDwIZWKuEz7GUnUwpjkWtM5b3OKtyN+9OiWkiW/QRrP4O7bVPnAPZdMpIbQ2BWCQcd0RSqAAAzgp19Y6QqOiVpcFmKOwqgZg4NyDKNIoLqa1Ae5BgJOogH3UtVNCKNRbqKymEsoDAIACogSQ4YK88OeUEOtazXOxTXauFj0XNvrEljwulGl4tHdXX+ZtJGn+yffi072Dihux80sexR3tXel+3TvyKjhqF8r4ckqInSdzOJZBAXjt79wCDyk48njvkMV1uyk4Yn52D8bSr1uD+uxUx4Z99JLoGfeOQKgj2KFieqr4Bk00i89jW4SiOO7DW52X08xJAPqxI1SJCdKCAgzoh+xsAl2hAAwert2DINQDnCgBOz3yUQ3EJePDQ81rrRLvAABAGiBKAJlnzsuJ5rkDmPaFtp/H4ka049KH1a0sXLZ1W+ZwHH1HisTjG8K/5K1uqcZMFdP92JK3Fjd8FYmcdKW35c5z22nHHGVyOJDtQhkf58lYMZ0EHo1+uHb7iBSJFIDD7/WFUwKjBE1do+PnSe5rd7MrPVXsgGfxVlwE58nliI5NGk9bsVM8PsH3sd3cB5G/OQlAP4kSXHaERgswK7V6LsWZIK/Z2W6LL8QWFd8ApwQABobZsNjqyj1IRUAsVXDfCRiviUPu3YOI8ZFiM6IRAADSAlECyDxz3osFtCbfm8jj4kiQOx/tShcenBLW/u5jH5xFisQW5DnXpOMxGE2nhJxV3NSYFX13pUdGUxaJ8jWMa8W2lg5g7mJbu3grjy4o7UIZ/kI2FdZ6weLdfTGdW1AYH0d+0VM21xt+YSYRjwyq++pKT2GVrxNv+Yxv8OVypIrpVcsbl7jAVM1JrvOULr6BFsv44xvqMnc8jwI8AFyjOt1cdYQS48N0tQlAhjZgi2/IwClhUxjfMANRAgADd13cOBYc/2mBexDwFWmUBWOlUHhahcgGAJAeiBJAdlb5bfbqfINNC9Yti8jhnzmsEWmy0vkLwK0Ck3wWgAPrYtH6Pjg7V2MxGHl2SqDpqN4LdYTzC2Va42G4RU/94t4hz5NtndQid7QLZfw7JRRyeGzHRXA+xBU6F5Rcijt0jhOME0JtKh47kEunhNhYcjvj1Hvg2k2fG41lIUXsQJvANLwfang6tuU+eLh207FJGat5FCkD0OsdoeocSRa/xFIFnXQgW9Q1MQtRgnL9WEbxBYDBE+s5ui6q88giOssBA+qZO4tIIyU8VW5YAACQFogSQCbQInJLdm3RQwdwrJAui0TsvW2uCpfCn1NCvLsu0pmcJ2RhI25dzHgvFY9vUPuQt4KbLLZ5tIBOLlwKdtLaP0cFRz6O73gHsI9ivrs5GRHK+IgUiRQr1T7k7djWibfYO/x1XfFC5Pq63ZwPjNtXcy++D9xjuSZKaKQ+vn0dW7StuAhOfZ8L6WgQdr2kiW9ocRhqiisafMd2zCvBx7Wb5iRECQBkU3xRTIT2vhAlAK6uUDqvu2YsfE26bti6FAEA8uqU4EiUEIr06FwFly6QNcqdcCT68JzBdXGlBtEpACA9ECWADJ0SPFoXJ3Rk5dfiveCt0BV0CYo+cUroHQtoggoE3MXTI4sVccex5XTRLNGuVXoPzOs0QRRGrADsQXD0wUtvT7Xg2iaUka4THsVbOXWTke4dbZ3U3EKZmDuPzEoX/SHeYo8Uyb9TQvS67cMpQRff4GMs3cQ36K7dwqt4i+DcB7WISQtMtguaMj4h5uZCcF2/49v3JSCDKAGANebK7uMbohna6AwFbPnZGYgSSOhQiIkfAAD9jWux3lgk0mgZbgkg7/ENocgGDkIAABdAlAAygRY5W7odmbvrZWdb7HtUfMujW2s0T9lLB7AUeMSKKzl0nNDZktc9dlKrfeAupn/2in3ikz/d6y6apcj/HnTFFR/HNmXlpnm4lMd2NFKEsUCki2/wcX7pBxGcTgiXZ6eEVqt8Eh35ixTx4Q5EXHXXnLhm35yT67aP+w819dqu3R4KwESaDsPg2im8Cjyi46j2gfP4JnFHqViQ/9Exai3miwlMOUVHOrFwIITzE9+AbjUAMnRKQHwD6IOuULqPUw4MKMAA0P/QPeJ82e11kc4jzQgHRBqBjFHuhFm4B7U4JSDWCHjm6FJVHFuq+t4NkBKIEkCGhY3IRGPOne+FRWRXBHnKvdQB7Mcp4YM/uL25eOZkTjIX23TxDdzZ2EIjjLCKZtEUgH3mzvsoANNDK73vNLbkspu6bSx5x7EY76T2IDhaKNfE7Ir9DSXVO9tjMLiFMvHIID/FdDexA37FW63uHX7EHfvny/K/dNdtj44Tseu2r2u3KvyWU5wndbEDrHNSd+1mdjmqhfOJ/ksT3xCPT+AUcMUdjprbF56cEnL4PACAa+Yzi29AAQbwUFb52Zl1hcKqGoBBgdYklBhaOf64AEI9wH1NHIkufDsE10TQKy5Zn/jJneLjP9kDJ6ucA1ECyM5O26cFtLYAnN8uYK9OCbH4Bh8FP6WE2ze34nBOehDKxL4XFNMFK2nvT+Od1D6srONFKh8F4KYteYoO4LYCMIm3hL8CsC+nBHLu+Ifv357y2BaenRJai8BU/MtjzYvGza94K26V70fcQYXLtJEDLY4yHq430WPCh2OVq/Nk/H7Od6SI2gdOARfNR3JJIBGbtShBE5/AKXRN2j636AjxDQAE0LHfjG/ISJRAjmIAZIkSh2dVgBkvBXMZXaEADFakUdpGnii4JgJ296DMnBJwTQT+ObxYkc8YS9V6qmhq4B+IEkAm0KJpmwW070VkDzaxaaH9DYpESpTgwykhbkPtL3c+TXFMzsm298FpS97u3uHD+SK9U0IsmiX8kvf4bi9Cc09J1QGcpnAZPba92JLHin3qa+45mdbKMH5sc4+j3hrdj3jLpQjOhyigfU4Gx7YPJ5Q0LihScBQ9tovcwkzd9caHU0I99XmyXRhJQhkXe9fl9hOv3bzjqOIbbGMH4oKfpnjKyR5abt+DgKy22hCjQ0VrcQcA/QLdewUOJkJMjbgVJUwivgH0SwGm6ZTA7esDAOBmNrNIo+A8soT4BpAxqhGAnnWyYBzXRNADHF6oNL++5fCS130B6YAoAWQCreW3FYkY1/8SC8AiX6iaiBpLL1b51N0WW8T2VWxLUSMKMr5jHf4+i21qH7iHMq0oIR6DoV6N8300eqAArKyf0zoltHRTM1uC67rS1fdzJZTRuHdwn6GCzvTYPjT82E6mQcYOxN+H4BYUtoue2EVHq/V0x3b8Higs/nJdu+mY0HX315lHsubEKUHnjMMpKNSNJe/xveoivkETa8brlKDZvgfBEb3f4aGitbgDgH5BReJNjQ613EM57QpFAQbkvACj8rOX4foBwMBcF12LElQURNpGDADWo9wU6rm9r4tfE1dwTQQeObQYESUcgSghz0CUADJB5s7HLKAbPZGn3GC/KZhZts9KV92+aq3IR4FGVwDmXspVi/BpFs+DYpvw17mqce+gv3MX09Ou2cRjMOi44nbwiGdTSyttD92WRJpuajmWsW5qXsFRa5FIjWne5iStR7Z19zMXnOLXnEAEx19s+8Clt6cspscFHsH48jrz6Nw7BH98Q4o3Lu+BYtcbzvcRdxfw55SQ7jxJx5XOKaHhOQqDWxjRjG8gUYLlduP3ctzXTvos9ePIs/3mfgghhofsxR0A9AtZFV+iBRjENwC2Akz0Id8hY6HrB5wSgO95/vkr94lr9s3hg8jhdRHxDYDdPSgroR6uiaAHOBRxSiCBwuyKfc0N+AWiBJAJQZ6yx650zYK8j2zqr/3ybvH+S29PaaW9VjhUhTd214mWAjC/3a5aPE7T2dZWbGPuSte5d/jo6E7tlFBv7QD2c3zHLN49uHe46AD2fp6MFdLz6pTQ5t7h4RzVXjj1I5SpUjE9hcVscHwLf9FL8fiGcIb6yJ2v1FIIjmTETOuxLb/P1ZWuvd7wC46UeKuaUtkSP0/5jsLgFkbIqJ9C2vgGvViXTSiTEN/AfWzT5kopxB0A9F3xZdS9KGEiXLRGVyjIGnXPO5pZfrbqCs2b3yboJ264e0Fcf/eiuPjGw7mLo80T2cU3wD0I8FAOn72zviYu45oIesApQa2l33pkGZ9HToEoAWRC0CVY8LqIHC90+egSTLsYI23JW7rS177vrQAsi235KwDHO/z552RSl2Ajd1b5URcUf0Wi1u03PAllUheAY13prI4TsUI6nSOle4fI2ZzUXW+Y30O7xXw+hTJt7h3Mx1Y9Kb7Bw/GdOnKgRVwRwFcA1hWg/YwjLYrYdqWrX4uKAorMBWXtWAoPERIF4T6+gVHwI7eiuwdi2XpkP8L4BjglgEFnLox72jA27Py11+Ib6iiggUxRTkzZdYWGooQabNeB/wLMfHlV3B3pEAXZiPU2Or4uItIIsAv1GK6JEEgBH9Ca59GlwBnhvjun5J+3HF7Eh5FTIEoAmSDzlIu90wEs9yEssOfOljw2jtyL4e0FYP4u5GaxLUXnarwDmMaV3b0j9j0fxXQ1nWwX5GW2tXenBJ17h68CcMr4hraudOFZvMU/J1OfJ9siBwqizlzpinf4y+tNLs+TOvcOf9cbX0KZtPENbdEoYcwNZwG4zS3Kh6NMIxAlWHf365wSmI8tXXwDt8uROi6G0joleHwfgTDTr+OE3A8ROCWkcd4CoB/IMr5BFWDo/qzMmQEFBg41v0Yy6godL4XxDegKBR45vLhmTY38bAaxnmMHIUQaAS4qTNdEeoyqplgHBcCWo0sVOf8otuucEzbK791yZJl9nQu4AaIEkAlBh7/HTuqEPOV6Hm3JNRbMrAvybfENOXZKiFQWODsEkyygfcxJtQ+2dtpxxwnu41ttp829Q4j8xTe0FYD53Tt0dtq5O0/Gx7HI70ASv+b4OLZXnZwnde4dwpszjy+hTNr4hiSrek6rfK3gSAj2+Abq1LDu7g9/LS7e4hcEtI8l/7m6IM9zqZwSYt/jfB9Jwkz2c3VDiOEh+3EEoP/iG4IFZpdQ1/pweOImtwQAchvfEHaFLsMpAfRIfvatR5bwWWQA3RfOK6eE8aziG3A9BNlSDq+JWbkH0TOUei5fSeEYC4Ath8Pr4fbJEbF705gUJyxVV8XB+TIGNYdAlAAyu6mLd/hzrv/Rtto7wviL6XFBgY0tefx+gr1zVWZjr/09cGoQrKjFY3WT5aZw6SErXfifk2uFS0unhFjR0kexLdimn+0rVsNW/DTxDe1W+R4cJ7QF4JydJ6kAW2ztCKd3wPk+6n0i3pLXbt9OCbEzpS93nnTxDbqudM4CcG8IjtLGNyh3q1bXCQ/RCbHvsYtDw21Sh38agYf+vtjNPnaz/TiBOFSwQp9nMI682wVgkOIbCNhVg6yhe61mV2hWVtWh2AFOCcAXdN9HnaGK248tixq3JeAAsFCpNe+3lbOB6+shRfvC8h5kibomjpbSra8lQc/kY6FbwnIVsUaAn7vDOKNtUyOyLnHqlgn595sPQ7CXRyBKAJkguy29dwDrOtsEK/HirY1Tgq7bkdviPR7fwB2DoR680nYAtxSAmcUV2gKwtNMWuSpcJllAc3ZbEtHju5DbArDv82R7B3Bg8c62C8E2wzsR2/ced5RZez3Bgpp7bVEcQvg5T6YRb8koDOExeqk3hDJ0fNN/6brS/Tnj1HtoHKUoIcV2e0EQ4Nt5S32edE9pO5a+52Q80sRX9BJtbXjIPlIEgH6ArgVZxje0iBKwaA0ygs7j6lQ+klEBZizscEZHKPDFseWqbAqhDuWpkSFpmX7nzAo+EMeoa+L0aCm1i2OnSKM00Z8ArIdyesxKqEeMhw5CuC4C304JxGlbA1ECXITyCUQJILvOsngh2/Miso/sWlWksi0EUI1pyPMibrwD2Ie4Yy0rPWVXesHzOOqiOHIm8PBuAa2Jb+AWmLSKEhq5nZM69w4fhUt1frHNpQscZVq7++X3uYUyscgif0KZtHPSXxSGdOaJfc+HUEaJEWxjbpK60vnOk0kFYOFFlGBbANaKK+R88CzeYj6+m/ENxUKKsdS7d3C9j+TrDcvmI/sROk40GuhWAwNLNRTeEa47QhWTTbtqdNKBbIg+y2ZVgGkWXyCuAZ44rLpCJ0aaxZdbEOGQmShhYwZCvdZII1wTAYN7UEaRRq0OQpjLgJ9Di1X55/apQJRwxrbgunjHsZVUDYPADxAlAJY8Yy8dwLHvBbEDzLbk4c2n7SKydErQxjcIbxnfMs/ZUwG4nMpOW2iKbU52L8WCvMfceUuBR1Kxi9sCOroHwZzkj8Ggw9u2aKnrHO0N8ZZg7/BfixSx2/Jq7NhWX3FHivSKeKvs0L2D281Fd37x64Ria5XfKjhij7kRvRMXFMQ3uIzz4HZK0Fy7uY+L8DhIEzsQ3AP5ex+JYmGezUf2I4hvINCsBgYV9QxARwJ132ZB1K4agCwohx2hQcZ1Rk4JoU01dYTCdh344NDCmlX16aojFDbVzpmFexDIOdTgo56rRjN0SoCDEPAF1fOUUE85JWydGJZiMqqd7Tm2jA8nZ0CUAFgWcYPiK3O3pa5wKnhRi722hQ0as3anhKAz2F98g5/CRtSOysmc5O62jNm7++ympjllK5TRiSt4s9KDRdTWYj5/AZi6zOhm39beXReFwS3eirug+BJ4pHVCiY8jvQfOsVTbadkH4Uco48JRpsV1osh7jtJ1xvsQytCcLKR2lIkdWylck4y3r3UY8COUoe6gNDEYenGHv3sgHy5HSlRJ126XkSLc78Ony1LcKYFIc/0GIM+o59Isi7mIbwBZ0+wIHcq+I5QuF7BdB16dEiaHm04J++bK6Lh3DFekEYR6ICtUY0qWgtPodXG5iq50wMvMck2uL9Gz/OaJ4ebab1OwdwSihLwBUQJgK2T7yN/1vfiZttgmu1aLfsUV8U5FX4WNNIV03Zyk9QvWbkttAZh/LIPO1ZSFDY8dwDoLallIF346gFPPSY/OGYF4q/V7PgQea13p7iJFWN07wj8LbcU+kbv4BuUA4tWZJ/Y9L0KZVdXhbyve8nuelEXstgI0/3mSztcjQymuN9rzPe+xpXXeYj4u5HUvdN9KJSjUXDs556RPl6XmfoTvO43AA4C8w1HMnQjjG1CAAVmh1ley7Ailwo6q7azU4PoB+DkU6Qqlgjn9SXcvtx1dwseRJ1ECIo0A0zWR7u3iz1wuGVOxRrgmAk8iPXJHiIqqd24Ybfl3kB8gSgCZoLMl9x3f4GPxM60teTzf20sURqxw6aOwoXKpU3Wlx7oE+eekLs/ZT1d6mmJ6PAbDS1a6ptvTV1Z62jnpPeZGJ/DwcJ4ktWu63Hnfc7J1H3xEs6QVd2iv3cyxR/rCJX/UDtm/pTpPasUVfF3p8dgltX3uOUnbGx4qilqKOdR+vvcRnaCLkOB1WqJdIFECzU3r14h9j/N96LbjI1ZN3YtRDct2LAHop4XrrJgMu0KRnw2ygiM7m67/TatqdIUCZuie5XAsP1t1hN5yBKIEl8yXQ1HCaLZOCUtViJtA1tfE7AQJLbFGuCYCZu4O44zU9VBBIgXi6FJwvQT5AaIEwCIK8NJtqcml9uWUULZ0SkjqCq8zOiXFC5destJTdq3qxpLb8UHnMODLdSJVB7A2q9xvLrWPQnpzHBsO3Tu4z5M6gYeHIlGtXk8plNF31/N1AOsERx6iWVbTxze0uRwVfRSA/R7fah66d0rgO98nOTXwd6U3RCmNU4J2PjALArTnF26hTHAckHgr3Zz059akd1nid5QJhJVBhEMapyMA8gzHwjUKMCBr1PoKOTJlibKqXklxfw2ADfPlVTnPaYZvCYsup29bEyVwP2sOwvlEiZBcA/cgkDXlMOo4S8Fpq1MCronAV5xRqyhhy8RIU5TAvZYN0gFRAsiEeAFYLsbXeyADmL1wWU9nSx4unkbxnTvvo7DR7O53WAAOim3c7h1+oziisQO2xXTf0SjaArCHQjqN40ja+IaYwMOHC4rvAnDz+HaeO884JxOy2vPplOB5TmoKwNzHt4qwIMveVO4dbXE9fM44+u376EoXYjhFIT14H7r5IFjx7XJE2yoqpwSH4i3O96FzagjEY8xzMjxfpxlLAPKOinniiG+AUwLICnW/S8+1LAUYdDgDTwUYEiSUisE8PHnzuIwUoWxtdIVmEWuUjcgJ7kGgX66J47gmAk8cSnBKoNgdOnVTjUNF8YB8AFECyIS4LXlPZAAL/sXPtfiGNHa7vq2LYw4DnhwnsolvEGzUE+20+ceSFiHTxDf4jEaR5xZtsU/kb062uZB4cErQFfOZpTJNoYzDDmBW9w6dUEf4iWah7t+q5fUmeU7yirfi8TA+nBKoYJkmc14n+OEWqvSEU4KMb0jb3S+8iTsSi+nMwgglzqA1pppD8Rbn++gVsbDaD4gSwCDDEd/QXLRGJx3Ie1doaFW9DKtqwMwhTVcoPTOfsHFMfr13dgWfSU7EehMjwesivgHk+d6uJb4B93eAEVr/UdfE7TGnBHqu34wIh1wCUQJgjG9o+M8AFrzQ4nG6BfmkwoY/1wkfhY20RUv9++Afx/Zubt6xpPdLQxiMZT6jUeRmdHbezEc3HdtjqSNF4kIZXlvypG5q7jlJawDuI0U4nRL8F6BduKDoRAHc70NXAOYWyihxh7TKtxzLZKGKm320OSaCAjTvpKTtUWeX9Thqrjfsc1KTO8DtcqTGIZVQJkG8xfk+dO4h3OdJdWykicIAoH/iG4os3eWwGAd5nccErKqBLw4v6K2qVZconBIyKOhmdD6BexDImjLXNTF8fQj1gK84o62TQZxRFBVxdGSpig8mR0CUADIhXkz3Uehq6wjzsPhJGd9pbcl1Xen8RaKI64WXzPkwvsGpVT6vIEAX38DtlBDNSk/llOCx21FvQe2nAJzGcULvQsLvgqITynBb5RMjzuck3/vQWczLbm4PQpk015vk8ySnUEbvKMPtlEAFS1Jcp+lK10d6MIq3YvgQZtL2SJhJw2j73n0fW1qBh4cYrdTxDZ7fR5LIlrtY2XRKKNgf3wDknaxtqqOddCQ8TePgBMB6RUS6982S8bAAg/gGwE2zKzRmVa2KLxAluIHuhatqTSKj80kzvgExMCAjqGBLjGZ4b9cq1FvNdDsA6K6H0TijKFvGlVgv+DmQDyBKAJnQZpUvoxP8d1tyL35Sd2D6ArDG8YGt2BZsp80pQfSBVT6zuCKpm5pzSjaz0qlz1WF8A2c0iqZplbUDWUHvlx5aXbt38OaU68aSvwAczEnqShcOI0V4bcnjkQM+hDIymsW5o4yPSJGCd6GMjG8oZhA74GYXrdyiuKM45H40go50wmYsEyNmvMfc+BA1BmPpWrzFGb0ktPcOghXlEDQ8VGwuQAMwaFQYbO9J8KCEr7D4Bdl2hWZdgAnjG2BVDZg5nGBVvWUcooQshHpZivUmlCihgkIuyKfbh2I8vCauINIIMHJoQS/SU0Csl08gSgCZ0J5L7aPYVugNp4RUWemaQnaRsQAcbibaTc3dIUjU6nXZBUFbTVMk8mpLnmDnzd9tmbLY5jkaxXcHsoKGT0azNOzPbXoXEoc72ZXrhK4AnLeudF2kCF+Hv74DmV8oI8+TaUUJcUEhd8yNrjOeWSijzpOpCsC+I0U8O9qs7UdDdqTTtm3GUhaQtce28Dsn2Y+L4BxXSuHOo3d0YZ6Tse8F9w7MQplQIErX76ptjhUAOYfD9p7OWWu5wyjCgDznZ8MpAfBDzhxkV01si1lVb5lAR2gWQj26L1Vi6qziG8jynnvdCgwGlbDDh+uaSM4MmMuAiyNL+jgjBUQJ+QSiBJAJOgtozqW/JIv3hq/YgVRFy1Y4C5dqM+259zzbb+5HWAAmUmVTeypaJsU3cNtpK5FLqgKw5tjiFPwkdiB7KLaV0s7JmOgocCFhLgBrrfLz35XO7ZSg334OY27a5qQHoYw2ioN5H0RKq3xdMZ1RXJEklGHvSg/PKbZjqXW94o6QSnSs4tuFQJwROMrYFtJ14i3W6KVE9w6e7Tf3IxxLKTqCpTwQgx7fUGSx+EXuMMi0AJN1fnbTqhpCNsDH4cUgF3t6dKjp1qHYHMY3LFXrYhlxAE6vifF7Vdfd5XTWwmcGsnQPovUgjmtiIxIZAUDWKGcO5ToTZ+vkWqwRxDL5AaIEkAnxBXl2pwTd4idzFzJBi/DpnBL8Wlmrz8xn7n20c5UW0F0VLmWxzd0uWsU3cI+lKvDQGqRtIV0VmfwJfhI6kNm7LYNMatqXVHbabV2rznaxu+3rCsB8u+DOvSM2KzgjPXwXoNuuNyk2HO+mDsaRV7wVb1Dxcf+Q2imhEcSSCF9CuKSudA/xDfS+6VxpF9+gv27yahI0Ag9mlyPl9JQmcsC3W1OviIXV9QLxDWCQWeswz9j2Hh3mgCU/O2OrauX4Aatq4CG6QdcVSs97U2FhhgowoPdt72mtQxWLIdQDeY5vKBWLUihPQKwHeuWeb+PYcNOdc75cwweTEyBKAJmgLQD7tspn7kKOdq7aFttosVhnt8tW/g03VPC+iBwUeNLZaces8r04JbTCbo0esSV3FYPRG04Jftw71orp6Yqf3nLKdcV89qid4BxXKrjOSme0JdcKZXiLli6uNzpBH/u1WxvPwi2UCR1lLAvpiR3+nO4dWmGmj6708Pim86Tl8VD0HNej25QXlyORLnJAdw/Cej+Z4MzjZU4ivgEMOOgwB/3U3czVFYoYEsDJoQ6iBAJW1Vk4JWQr1BtvCvXQXQ4yvCZmLNRruS5iLgNmUYISPMehdflN42tuCSAfQJQAMsG/VX5SnrNg3QdZJBpK4ZQQ7rcvK+tmfEPU9YIKGzybbys6pioS+bYlT7AubviwJU87jrHvcQpVdFvxUQBWhct0Ao/WOcmdU67eQxQfx0VT3GHr3pEQKdJgtlZv3T5v0ZKgeUiLKdYimQRnHNZIEW1nPLdQRmQT38A4J/UxGMG9GSfR49tGdJQYMeNuFy33wYPLUTO+IYVQRuO8xeooE/setxAvKhiia7et6wQAeYcrvgEd5qA/HD/glAD8OSVshyiBT6jHFGkEgRPI8zWx5bpYW818WwB0G0+ixHpHwvgj0PtAlAB4nBKYoxPqPbCITNtqhPZJ6TqA/XUy+y5At+xHSot3vS256AGhDHesSVBsS+U40WYBzdgB3CNW+UowlHosI39nd0rQdc56sOtPkzmvc5xgd0rwHLMT3Q+yJLcVdzRFaJHv+XFKaMWXgEw686QYS5/ne91W/EQvRV0nbH4/IWKGXaTSfh/GKyALPj86vtNEiuicEljnpDZWzU+kiIxvsFVwAZBz2Iq5YQFmGYvWIEtxDZNTwjKyswEjqqiicrLjbJkIHBSOLgXiBeDimpjxuQQCJ5AhSmxdglMC6Of4hi5ECXBKyA8QJYDsRAFtVvl8g62zmOcupquOxJGURSL/FtC9UNiIdK6mGcs2W3J+QYDPYrpajE9jpa0r0MhiuvBtlc+y+bZxcNlN7aNA015M5y4Ah+4dxaDTP6+RHlpbdA8FYOqkTiOCI1rmpA+hjCZ2gPPaTeOoBEepopc8zsmkuCB+QWE60VGSIIA35kbjOsF+7W7IbZaGguPb5jqhuwfhFQzrr93cXgVyLEPXiZql6wQAeYctvgEFGJAh5RpTd3N4nNCCOPdzGhhcVAfyxEjQkRxnK4ovzjtw+QRO6C4H7lHPNfSMkzXquginBNBLooStEOvlDogSQKaLfi2FLk4LaM22OLu5RWRbtIjsyt6du0CjL0B7KGyEi9eyc9WZVb7/rvQgK533uEhtS64p0HDmQifmYntx7xCiZBmFQb+vdUpwupfr74M29sCDU0KqYztRqMIolPEYs7O2HymvN4lOCcziLe/RSw7cO3TuGRR9xNiVrnNZ8iresnrvOkEA/7Glj4fhFzXSeZKwiXDQiXU530eSeIzdKSH8PKVTAuIbwIDCFd+wZlUNVxKQZ6eEobZFcQDYCjAJ52l0hGZxTcw6Cia8JlZxHgHuqdaDeUXrQVmjrovLmMuACTgl9Ccl3zvQLyyvlMWPL79KfP/Hl4srr71e7Dt4SAwVi2L3CTvF4x/9UPHS5/6GmJgYF4NCfPHRj1NC6/eKHoptRMlh5EBvOCX4KGy4KKZrim3MRYX4h8nd8amssNPMSV1hgbsAq92+8OfeYZuVTrSeJ/27dwTHRf4cJ4oeXUj0MRh+utKHi0U5jiryxvT3iehY8ru56ERP3Nduut6kFMF5ds/QCo6YI4vkfohAoGo7lsnjyC+c8i+UKchrXeCGUhejhrry5Agpp7tqLMxkn5PKMWqoIKorWBQGg7l2wGdVrQow6AoFbqHnJXVfkXVXKN3DDNM1Y7UhCzDjEZECAFnNb+Vok9QVujl0SliorMpiTafuUdCZCpPrijp3oJALsnVKyP5cAIEN4ITu99Q9X1fxDctVq/VQwA/uXBzxjUsuFX/0jveJC7/xbVEsFsVjH36eOPd+Z4u79h8UH/vU58Xzf+/N4sixGTEoBAvJrbbk/IIATZegj0J6IWVhw2NnW6LdrocOYNedq+wW0GGhy2cxX42BbSG9s522P/cOL04J4edn2wGss8oPXEhc7uU6+5DUAezBGl1mzjuOFGHtSvd8bAf70ZCLprRZm22r60rrnOQbx2Af2mEXyoTbTHe9SXLP4BtLfSGdd1JGhXC1sAspteMEswhNfz/Je56UcSDh17KYbuOUkBDHxSaUSXDv4HYHajolpLgPAiDvawdrHeYFlgIMnBKAa6Lnb3K+yRpYVQNO1Dm6UwGGzq8T4TkW+dluxjtrYQfOIyBLlAMch1PCeNMJC6JTkD1KTL2eeGzT+LB8zqe1kvky5mYegFOCq4EsDYnnPP2J4ref8zRx2im7m98/dOSoeO2f/KW4/qZbxfkf/qT4m3e+QQwC8c4y7q4yQlcQYBVGhO+75LywwdzZpulA5nQYWCtsOIhv8FggIvQZ4x7iGywjB5qv4dEpQZYUPHetRo9Nuieyim8I/4y+lYInkYrwadfvwr1Dzkl/xa4kW3JOe3eCho8K6QSNpfo6dTSKw31cfycShHgeHGXSnSc17h2cczIxcoAXJdghsYzNtVt9Fn6vm/4FHkoEJ1TsgGV8g8/zvS5mh12wrLZbsB9HAPK+dkDnYjX1+ZwS4EoCsukIJVS0UZaMlYbkAjfmMuC0qabaYqf5TV2hS7Or4uhSRezcMIoPp9fdg5RQD9dEkKlTAs81kYDoFHBeE2lud1rjpOvlpvGSOLZck2K9DWMoefc6cEpwxDOe/Djxrje9umVRgdi+dYv40z/6Xfn1t3/wE1GtVsUgEC8Aq8Xwhs/FT+bCpSqk22cpJxcWOOMbRE/Y7QYW0C6LROy25LqsdOZsbHdZ6f4KC9pjQtqS81vlpxHKrDkliJhTArdNfSt+jgsH7h2ehTK+7d2jmfG0gGXl3pEUjcJdAI59j18o4yC+IdG9w9FOdrF9nXiL/zwZHBs0lnbd/X4jB5L2gT+SbO0cQw/jKjM0T+9Dtx0f0W7BdsNxtHDvACDvawfddhu5YCzspFtGJx1wjLoOKmcrtq5QRJEA5uzsTvbTTavqpcFYY84KPvcg1V2O+0/gHor343JKUPd3ENgA7mviemyZGJF/klgP9D4QJTBw1hmnyj8rlaqYmZsXg0DcplU9K7J2rmoKwD4WkVMXNjSdbaxW+ZoOZG6HAfV5uoxv8BOd0AMdn06y0jXdlo72MQ/53iJ0C0kzJ5tW+ZHv0bhyP6J6L0K7cErogUgRfbHNQwE4nJO2Qhn9ODrcyXX3oV3g4UUoo+akdaSI5n2wdqXrP0s/QpmwK92ikC4SIwf4z1HxhyfO82TUMULlWqd5DV/vQ+u8xSwwCba7lg8OwKCtHajiC13jsi7mNjvp0BUKcpyd3SqwQTER9E4BBqIEN1TC8wmfexBsxYFb6HlOPdZwXBfVXF7GXAYMlA0idnBdzBcQJTCwd98B+WepVBIbp6fFIBBfxFXFYN7YAb/FdNWoGBQt3XYys3YA94JTQrjdoEiULkfYtyDAbza2ihywL7bJbGuPRSJ94ZTXiUXtRxr3DiW0iYu3+Oek8Fq4bEaKpI5v8CtU0Qp1vJwn0whl/DpONPdB+BfKSMeJNNdurTMOn7hCH/3Ef+2WhfAUBWCt4wR7ITv5msO2D5FxCGIH6k6vnRwkimwZRzLqlFAaKlqLMwHI89pBsyOUsZOOCmzcgnbQ33BmZxOwqga9KErYCqeEXMY3QNwEXBN9zua4Lo6rKBII9UDPOSUEDkJH4CCUCxCwwcBn/+tr8s9HPvgcMTISHCCdeOZLX6/9/p679osTdx4v5ud7121haWlJ/kkLD4sLC0JUgouVWoiYm5uXi9NZU6lWREkUW8aqVq2KxqpgGz/KHaR3WllZFpVqzWq7K+WyWK21/i79fWVlheV9LJRJxdto2Rbd8NCnOTc319FOziWValW+5/pqTSwsLQmTt05zUhV6FxYWmvNvqbwqC/Nc84HsV8vlgpifX7uQVqsVsVrjm5MLi1UhGnVRXl4S1VrdarvlcoXaq9qOrZXCKsv7WFqqiHq9dd/VTfjc/HwzdztrqrWaWF5eFqK+KhaWlo3nZLkWFA2j72NppSaLyXxzUp1LCi3nl2X5PR7N4sJiRTQadVFZWRFly/NkuVIVI6J1/q3WVsXSstnnYsti+B5aPssl+iztjrG0c5I+ubn5BTFUKxnNyaVqXV6zovu8vFQRtVWeY5uo1Vble5ifX3uwXl3lnZOLSytym5Uyzcmq1XunY6tcjh1bjO+D5n783mGxwnvNI+qNulhaWhSN1ZpYXDY7HmhOLq/URKPeOv8Wy6vynpLrfdD1ht7DfKPc/F6tWhErjdbrYJaUK2UZN0DbK9C5ZnFJzI+aCRNW63RsLYn5oaqX97FSXhHVSutnScVRuj3jGkdVjF2YnxfVlarxNUc94/Q60wMigO9nXK4d7Dp+e8s8n5kP7ExpXS/rY08Jf+j/j87MdbWYCEA35+G51WAeDxV47geKtIhE212ke1QsoQK3xO8vZuZX5J+ldeb3qAju6Y4slnt6jbjXWa4E47hazXYcV8vBdpYrdmseeSIv98z9Aq3jKFYWF0Q54zXR1crgzGUF5rQ/ZheW5Z9DsdqUjolCTf55eIGnZpb3OT3ted0AT4YZc+lPfi6+/I1vy06H173iBWJQCDpX1y6E6iuujihdfAO7DXW4TSqS2ltAt3+Ps5M5aRzlv/HsQnM/ik2Ld4vfD/+M3psFXenOdtEuUoS7Kz3cVhqnBMLn+9B3c4f/xtyEpbqprazydS4FMmKG2SnBd6RIM5pFWLmgBK/RaBOjcB7fus1wn19aO/xpLF05JXBfN1vvHXxZvNOxSPq1NE4JcQrsVvntzjz8kSLB+04TGeR9Tmqu3fL7Ho5tEY6lveuEx0gRjVOC/D6zyxFB+yHHEU4JYADXDtS857D3peNM6RDQTQcycUrIOIJEMRZmza/U4PgBsmfN0abzeXrTWCCQma/UEUnlJL6hwBPfUGuw3/uC/kY9Z9MU5mgcxDURcEINfcRoeC/WzXXx2PIqzrM5ADLfDLn1jr3ibe/9gDwQ3vjqlzTzIdfjv//9Qx27IHwrWbpjXkxPTYmJkcApgSiIg2JycqppW5UlpeFlMTpaahmrsdGyLGxwjV9tqCqKhaNiw9SkaIgFq+2OjFbFaL3Y8rujI8tiJPbeMn0PxaMt2wpswQ+KyakpUWLKcRwqzYnx8XExulgXpZFR4/ce3KTNiw3T08381GKlJhriMNt8KJUWxPj4WOtnOUpdyA22fZhdXRGloXmxcXpKrDZaP9duKQ2viLHRodj7WJGW0hzvY7y2LIaKrcdTUFQJ5iTtBweF4oyYmBgX46OrYmhkxPy9U1d6IfY+hquiIY6wzYehoeC4aj2/LImRUfNjzJbx6pIoDS2K6clJIQqLlnNySYyNtX4Gw8MLYnRslG1OloZaP8sqdSMXjrFer4tDwZwcHloQY+MTYnp6zOj3V8urolhoVcvO1VdEoTjPOCdnxISck5PN742MLLLOybEFmj81MU3Xbss5ScdW8D7WfndEHlsW5wrb91CqtWyrVF0VDXE38z0kbW9KTM6syoKU6baHV+ia1XqN5L52FwqHxOTkpJieHGm5nyTXJbb7h+EVMToSXHfHRxfEkMV9UKF4JHgf06Mt74PEDhzvQ97PitY5GcRQ3C2mpqdZXI4ow7dYCI6BSrEiavUZq/eej+cwkEeyWDsgt5fonB1aDo618RGeZ8mx0iGxUFkVQ6MTLecfANIwskLPe8fEaIlnHm+YpM67RVEvtD4DA+ASNbcKR4JOz8nR4Y7zbarREGOlw/Ieu1YaFVumcI61odY4Iv/cOEX3yeMiK0bH6b73kBTkjk5MDYR7EM6XPJSLgXsQ15rs0Ci5Bx2WAsGJyanmGvsggDnNT+FweE2MrfnqGJ8k99dgbhbo2WMUZe9epv+vgp44eOiIePVb/kJaKL/kub8hXvycp4tBQpc7z57xHe+25M6lFtS9m64rPegs8+iUoOkFVPcbnJ9lXTklyAxguyxlIjqWXrrS43nOzJ2zQQdw2LVq2ZauXiNKMJZOdrGL7WuO7fBPbtcJKqLYZ6X7z3zXuzUwz8mwe1aeJ+v5dCHRHdvB9vm70p27d/joSvd8XNDnRp+f7bGd1BXO6t6h2RD3OBL18HpBCyS2Xelt90BeHGXi95P87h3q3ou65lT2rYv7Sa6xDM7T7ffl6t9smKUIBoOxqEf2YaRUFGXbiw4AOV47WMvO5llAXssdDuzvAXDqlMA0j9c6nDGPQfaoexu6V+kE3Uep/OyjyM9O7UyRtUiAni3VKYuEsgC4Qq1ZcLkHRY8VOGEBrmviaBcNiNQ4q66LB+fX4jdBbwJRQgbMzs2L33vTu8W+A4fEM5/yOPGm17xMDBpRq9noTTNffIOm4Mds7y4XP6UoQbkLWL5GvNjFWQDW2v2mW0ROsx+UqWxVAA7nXcFrdIL/IpEqSqgCkU0xQl80DIpPHOgLK8FRwhs7EBbbikUrgUcjPJajyPfAaQqeUMz3EXMT2LvXHRYNSYTmaCfX276mms9dzG+KAUWKmBvdsS34xrGnhDLq2La9duvEW5xzMimahf08GVrlS4GHRSHdc1xQx2I+47k6ug+jlsV0dc3ydXzL8WoTmET+zYKLbzgsrtk/b3Vc0DjS/SS3eAwA32sHTZtqpg7NseGwmBvJOwYgLbXwOkhrA5zimmXMY8BA2aBIroovRyBKyDwuIy30TKRcg1HIBS5R62gkfOGAmmBUgRgCG8AmSujy2WXnhsA1aP8cRAm9DkQJjllaWhavfst7xC233yke/+iHij9/82tYMn16Dd8LyfqOT+biilqMlwWiFF3pWqeEhrfCxlrhkrkAHBY2rHOpY4XLQCTD2CWYUCTiKuZHRS5KQWvVTS0LGxrBEWNhQ3dGVQU3LlQhXBbbLN07dOIK9gKwb0eZSCHdvitdU2xjPUfpts87jsFeRF0nbArAwXnWVyd1ksMA/7G9dr1J45RQ1AojObvSkwrAfKhjkzpyrcRb2vnAfe326w4UvQciaAGoUrMUwmmPLb4bc915Wv6T5S4sVVaNnBKigmUqZNGXNq4TAOR57YCr+KJAhznI1imBeR5DlAB6rAADp4R00PO6et4b6SKv3N01EfefIAunBL4SX1N0irkMekioR+wI4+L2wymh54EowSGVSlW8/u1/La69/ibxiAefI/7mnW8QQ0OBEnKQUAvFuoKbzw7/IndnW7iQPVSwL6T7trLW2e0S9D3u4qm007btSk/o7lev7XVOMltAB+4dgXWcnetEglOCx2JbsA+8c1I5odi7dyTNB15BgNCeJ/24d1ifJ7UW74wiOJ3AhNlNJtiP8PguUGSQze/r5mRBcC6Z6ArAwTWPV7wVXG9SuHd4FlckCY7UvnFfu2mBxCa+Iel6o/6NBa1jlAfnLRFxSrCwj066n/Tr3pFuTi7X6kYOHNHrLm07GEssCoPBWjvgjm9QBRh0mAOXqGcvLqeEteILLNdBr4kSRuSfR5eCTHlgRnQdh0Osp84ly4hvAA5R62hcTgmtYj1cF0FvRBrFnRIOwCmh54EowRGrq6viLX/x9+KyK64V597vbPH+9/yJGB4OrLQGDXVbp4tP4O3w99fNLfchLGwEXaspim1tXem83fWJTgncHf4putKjC/oKNT94F+R9d6WvfZ5BhIPLXGrBhq6DjL+jW+XO2xXTk8aR3ylB+J2T4TkucEpwVwDmLGTrztPcIpn4NcdqTiZZ/jOfo3RRGOwuR2FOMS1UWcXcJLo1+XTvUP/Cf+2mBRKb41tFkvTatVu6XrCKXNdcDuhhvGwZY+VTXJEscrW/p6UFXdX13fU+RD7LYCwhSgCDtXbAH98QWlWjwxw4RIlG6V6Ng/ES5jHgL8Cool9X8Q2L1cz3qx9R95HKuTFrxnAuARmgnrM55rACUSSgF6+JUacEijVCA0JvU/K9A/3CBRd+Q3z7B5fJrzdvnBbvff8/a3/uTa9+mdi8aYPoZ9QCp1eL94QOYM5im7LKD4q/QWHD1I4zqcO/3gNW+bxFomA/hlMV2+JFw7XX1vfeu0aX58zftaqOS7phtXKd8FyAjdovt+yDB/eONMV0nVU+vQdlS84R+9MT7h3h50lFS5qOdI6OW4x39Rqx7wXiLR4Si/msnhOt8Swqaze9uIP3XC905xduq/zw2CRnHtrsaqMhSjZzUnPt5nofysklivor57labrfpOmG3Yd/Xbt1nxi9yXTvH0cO4zcN1sqMLp1i4/ftpjgvqvFYF1u72ofVaYRuFAUCe1w7Y4xvQYQ76yCmB1nRIEMFpkQ0G2Cmhi/P08dOBU8LsSk0sVmpicgRL/FbuQaUiy/rLuHJKgOsKyMQpgTG+AU5YoAfdg4ip0ZKYHh0S8+VVcWC+LE7ePJ7xHgJbcMfiiLn5xebXaoFBx2te9vz+FyWEf/q0eNdtv+DJKl+pFelGwdROSVfYkN2WlpbSpiSt+XNGSMj9UIUNy4xv7TiGf3q1eGd3SojkKZNYxuFYchY2dHAXgdXnSfa3duOotwSX/8Ymk9G4d/gQd4TnSdoTGstRwzxHvcU7o1OCRhThxSkhvObI86SteEtbfPXj5rK2Dx4EhaHjBF2+aU6aNpRqx5Lx2EoqpCf9Wxao9xq4TtD1xrKQLjxfu8PjqldcbeiaoxZQnQgKXe2ktcjV7n6SHMjKpvENoZuMQsY3wCkBDNjaAbsoQXWFIioFZFCAofsLDqIL4eT6MTUKUQLojQIMnWO3TgzLjtB9s2Vx5nYs8dtdE3kjjeAeBFyi1iM5nRKUwAaxRqCXhHrRCIf5Q0ti/xxECb0M7lgc8ZqXP1/+B6JOCcJvnrK2IMBfXKHCBt3jBqIEw9cQQgy1dY0y2u1qFrF9FImChWTqACarfLsldF2xjbWY3kiKweAjWuAZdhiFwVrY0GzfT8Z3KDqyjW9IKKQHr91aOOG2eGcvQtP/5PFN3dR1MWqYLBUvNHEXDfUF4OBPG+eHNPsRiBLcCY6C2CV3+7juPmjnpI/opWAvyC3BPp6l4PXY0nX7cEYvqa3QWFoLChMiZtg7/GPfk9u3HEcqpl9/cEHcZ+e0cQxGs5BuUdxT1yxf8Sw6wVGasVQFThOBRnt8QwGWjmDg1g7WukKZbO+b+dmISgH5dUqgexkqJtK1h/6bCpyBAcgEJZgcDUVd67Frw2ggSpgjUcIkPhWTsQ4ds/jcgxAFA9yj1nVNmyDTgCgSwH9N7P48vWN6TNx4aEk6JYDeBRJfkFlRQZfxzVXIToo94C4Aq8JG0CVoW9jQdde72kvz7fsoEqlc6XSFDX2BxmcuNbsFdGQfpJ225VjGi6yshY2Ez5LKVNxjSbbyNI7WHcCacQz+zd950ks0S7gPJcvjOzg/+LX8b3ecCOA9TwbvW4k7bKDf92tTnzAnWV1Q1oQRtnMy0eXId/QSp6ixJb4hhbhD833Wa3fCfZjtOB5dqor/ue6g4T6QuCldd7/+vpjX0SVJ5GozlivVVfln+vgGFErBYKGOGT6nhGLLMQuAC9R9Lt2ncYEOZ9CrVtW7No7JP/fPrWS6X/3slGBS7HJyHkF8A3BIzYNTwlo8F56lQG9dE5VTAkFOCaB3gSgB8HVDFfx2+HMWBKKFdMK6cOm5k7lTYYPVKSH8/IJim7vChiwssHWNanLvO8QRZLIPkcKGFMpYjaUuK51TKKOfk5wdwM39cGyVH3VK4KDh+Zgg6Ky4dp505zrB6ebS6bNknZPR+AYrcUdC7BLre9BZzDOLOyLzyf7anfA+uK43ifdhfCKTqGsWzUm16GdCktMI93mq/X7S/j5suboqj0+T81P0HoYKia7iG3rCKcHy/kF1XZvGN0T3wdZ1AoA8wx7foLpCcayBTJwSGPOzYVUNGKD7MmNRQlh8IacE0NvXxHFcE0EGqPVIcszkQgls6NkWgKygNZOKjShhOrguHlooW60xAx4gSgAsBZpgsjEXLnVOCR4K6SJckHdlAS0XcJ3t5Xo70MEpgWsfIp8nxTe4Krb1RrelhzkpXBTb/L6PJNETb4d/sE0ZKeKok5pddKSzmGfu7o/ug31Xul4UwNkRrju2CW9z0pm4g98pwbsLSjS+wTaexbMLSdJ9WBCjxbMT9YhrFj1A2nak+79262NNbDe/VF2Vv2ty3Yg6FNkW0pPui3vCvcNiNGkBrGDslNAqzBixdJ0AIM+sxTcwFWCaXaE41oA71L0Zr1NCILBBFAnIem6re7NuCzA7NozKu5vZlZpYKNfwAfVwpJESN+E8AvrFKQECb5AltD6snvZNRAmbxktSOEOHxqGFSmb7B9IBUQJgKXT5sHiPw7n42mZL7rCYzuuU4NZu13o/wsz4QNxh5ziR2G3Jal3sPys9KpSxjxRp7wD2XmxjLlwGHf5hVrrVnGy3yhfha/osEnE7ykTdO1IJZTRRGFwd/h2dEjwU04Nj29LeXdPdz+uKk5B7n7f4Bq3LUcGr4GjN5YhlF1qEGdR9RMNoev1OFlcwio4cb3+pomIH6mbOW5H4BuqGWTX8ILWCQsE8JzXft3VCofGbHBkyGse4WIjmpc25EoD+6ArlLcAgvgG4RJ276dmBCzglAA5UgU85jXUrmNk6OSy/hlW1GYg0Av2Aesbu9pzhAuUuYuOGCIDpNZFu90xEN7ResyN0Szgwj2ijXgWiBOAcXbelnGycxa6wiO1r8VXugsz3DrAvXOqKhrxFBR3cRSIpzgiz0m0KRCLRvYPR4l3neuEhvmGt2JYivsFzYUP3YfooXKobI3txR/v32S3eddv35d5h3ZWe5IzjZh9tC8DcY6kigwJxh812EwQBzG5nvvehxeVIRgbZxA5o3gdrNIt+Q9zxDUrkMlQMrt+mnRSJxxb7tdtdhBU5JRAmYxE9V6uHcdNzZaKgUPCgE4+lmZO0iDw1OmQkKoiKO9S8hJ0jGDT4CzBDze2aiqkASKLm0ap6JYwPAiAL1P0hnaN1TTVJ7NwwJv9EhIMZiG8A/YBa+6FmSC5U13q5hns7kB3ROCPdWkIndobRRhDr9S4QJQC2zHfOomFynjN3LnUkvsFVVzpnAVhTpOLu5o7uR7oYDN/dlu0b4sy9D/bBUVa6NndeDJx7RzAnLeMbeiSGQmvXLzzFN9jOSY24InB88OfM40V0FL5vEhxZxzfEvievN+F1nQPtZ8ntghJ1OUrhKBNfSOR0SpDRS5pvB7EDdvvw7ZsOiyv2zhrswpoLylrsgEV3v/drd/s1J7iftWOpEpzjzGIHaE4G+0B/DhUK5k4Jmntz3pgb/fdt4xvIbndypJQqviEYR+NNA5BruOMbolariHAA7gsw6AoF/YWKlTKxqSZ2hcWXfXPoCLW6JrIJ9SBuAlkK9TxcExHPBThECRbnaIgSeh+IEgBbNxR3BnAc/mzsWHyDs4xvZvtlzfc5u5DbstJtC8Cad8JpTe47936tezcilKm7LLY52811tq8XygRiHZ59kPsRnlOsXVA0Vvk+ikS62AN/TgmWczISl9BSfGVz5kkQb3mIwpBCmTTiDs18IHivOf6iONQ+rEWK2Nm7e3c56iB6sj0ujixVZVatrVsEPUiaLlokiVy5rt3qXFhwGd9QtYlvaHX/oiKMsVNCOG7+hJFJ50n7+AZySqA51e01Ky5QpXFctbh+A5BX6HhXz6NcBRhyJFELiYhwALm2qkZXKGDuCjVhF5wS0jkllLgijYaa4hO4BwFXqPUKVqGeuiZC4Q0ypFxbtbomEmvxDWXWZlDQPRAlALZCdrCIy+iU4NBuN+042Gd8e86l7lTY4C4SCfsCsM5KO223o6s56Su+gTr83RbbOF1QeiFSJLTKHwoKz+b53skFGr6x1EVx8Do1tHSlW0dh6GIH+AQBHeekh8ggW3GH7jypxB6sLkceozjiwojgmuPGnUdeu13tZFfbd2eVTyxXVo0K6fF9kE4JhtecZMt/nmun2ob22m05kMtKlGAa3xDZCarvrTZcxDdwx3m0Y3uuJoeEyZEh+Rl1e76LX/OoWGqZCAZALomew0cYi7ljw6EoAd10oA+sqpGfDXpRlEAdoXRWn1upiYVy9yLiQScal8HplBDdNgB5dEpQglNcE0EvXhOJbZMjco2Z1g2OLVUz2DuQFogSAFshO8gA5hlwvZ03c3yDzJxfy6V2lTsfdI3yobXK57bTDgu4dEGxKgAndddzWrwnzUmv8Q0Oi22M6o5eiD1QjhFk/0xFU9Ob8WQXEr922pyFU7UPLUIZV7EDjMdWYjyM8BMZZC3uSBAcyddmE3hoXI7CCAkuooIh2ZHuyJ3Ht+BI7kMKgclytW5mlR8TVVI3heniW6fzJI9TQvCnVihj+ZpLlVX5nswEHppiusFBSb+vO0+yCwoTng2s4htW6zKrnl6yW4FG/FxN42gj4AIgr1TCCB06h3F2063ZVQeiLADSAqtq0K/YFmDo57dODsuv982VM9m3fkQ923BFGtG9pxIFKqEyAHkU6qljhraNLnTQa5FG6nx7/NSI/Hr/PK6LvQhECcA5weJpUoce5+JnvCDgw949+DpNxjc5BPSaVX4aC+h08Q3BzLIZS/2c5H0f3udkpMBDN5E2qtYkcQWvU4J/oYyak/QZkrLeuNiW1AHM6OiS6N7BLpQpRArArmIHCmzircQ56SkyKBB32L37RKcE1kiR9n3inJNRxwg6tq3Pkx4dH5K70u0FJrRwZtTdH4sLkE4JVudJ4e3a3XRKaBOY2B/bzdgBE4FHbCyNRQnhn21zkvPYdnwfRnORFnVpLLo93cXjYYL4BogSwADaVA8VtfegWdtVL6MrFDhCrQVwimvUgjisqkGvdoWuRTisON+vfr8u2uSVp70mwj0I5NopIRJ5YhrRCEC3lENBtc01kdixIYhw2A+xXk8CUQJwji63Vk421k5mvS05t5V2a1e6ZXyDprDB2d0vHHdb2u4HLSTLLmCLKIzkDj1Gi3dNFAd7fEOkAGxTSF9zrYgJZViLlvoNsUeKRM4xdINk5ZSQ4N7BavGu6eZmjxRR50lLq3wVpeHPKSHBicXHNUfFN9i6oGiKhpzXHEI7J7ldUMJ9sBdvaSJF5PXGb1d6qviGat3o2luPxzcMFeycEjRvhOvanXi9SSEeowfrqZGS0eJNfCylgMvIKSH4s+1+UrpP+T1P2goKaS6SAMvk/ETX7RZxR8HceQuAfhElcLLmlIBFa+AGdT/Ca1UdbAvFF9C7ooSg+LJvFh2h3aKOZ9ZII3VNRCEXOL4mcgr1lGMsAbEe6MVrYlSst+fYstP9Am6AKAHwWVmz5ym7s9u124dGs7CRypZc28nsai/Nt++jAziIwhBNFbMrC2jODly5FV0UR4rtX3dg3uj3ZfG2YN+1mtzJTF3pnottKY6L/7v9mPjOTUeMfidaJLJzSkiwV+cuAGs+S3ZHmfBrOk9aFYC174MzckAPu8AjFLWQbZ/t9Ub3HMvpQqI9v3iMb7A+T2rEFdxOCbqrnq1VPhXAabEhbXyDsXirw3mSU/Dj8n5SOSWU08Q3FEydEoKfbZ+TnMJM4VRQSHORjk+T9xA/v5iKOwDol/iGkUh3Gwdjw6oAA6tq4Nopgd+qGjnwgKUAYyEe27UxKL6gI7R34xuIcXVNRHwDcO6UwDePad1QnafU/SUAvSZKOH3bhPxz7+wKInN6EIgSAJtFq+8Of/ZCekt8g13nqix8aheRPVvlpyj40Q2TaYdBS4e/VWEjuSuds3Cp+yxtP0qaA/959QFxZLFq2AFs392vXkPflS5Y6JQxbrsLF91wWHz/1qPG+9EUysixtIgUSXCU4RMd9YqjTGFtHK2FMv7Ok4S+cMp3fomKjlI5JSS6HDX8zUlmoU40vsFGBJcsjGSekw5jD9Simck1I37dtYpviJxnfVy7mw4Dse+nim+okSihlGosjeMbkpwSPIvgUsU3rAbxDWZOCa33YabjCEDe8eWUMF4KrarhlAAcQOdtdermtaoOiy8Wz88AcBRgdkyPyrucuXJNzJdrGPQevS6OhddEcqEDwAWqIYXTKSEq5sF10Q0Ul/n16+8W+2YRwaMoh4Jm24idzePDYtvksLxvvPXIkqNPCrgCogTA55TA3uFf8JbVHi+UuYxv4LSy7mhLblkCvmLvrLjoxsPW+2HnlNBIzjLm6vDXdgDbd1vaLOy1xzfYune052uzijs0kzJN52wjZfGUOs5Mi+k6wRH7WGpdLwJBFRfRDmDrArCmkM0ulNHNSU+RQfQwWu02ZL0tBiPpPOnZ5SjFDph2QgeF8IhQxkbgkSCu4BvHBIcBS9cLtWhmcp6LjqP1tbuDMJLj2q22oLuftNk+FVJo0Wh6dMiooyQ+lrKYbvBBJokrfAszg32y24dKM77BxCmh9Z7WdBwByDve4hvCrtBlWFUDB0Tv6zgLMOq4sXl+BqBblJOWjSiBfmfb5Ij8Gm4JpvENjKIEuAcBx9Q8RBpFz1NwEHLDpbceFT/dMyub5oAbpwTizG2T8s+bDkOU0GtAlACck2y3S4vhfrstueMborbkruy05QIs4ztJ/iztXm++vCqWK2b2nfEOf5vChr7bktHiXVMkSlNIXwo7V03ELi3iDotCevM1hK5oyFZuSyi28X2WbR3+lpEiSXOSNVLEoXuH7T5kEikiC13+rjc+itCq6CevNxaFdNHRUcbfnEwT37BQron3fOtmo2Mqeo4bSTUnNYVsVvGWcFbMJ9U+vZyJQCMQuawhHaMsBCLJ7h0iczrHR5i/Hl2vad9p4dM4eknYxw4E5wa9owxXUT5JKFO0jW+oNeQ4mpyf4k5LiG8AA1t84Y5vUPnZsKoGDlDXvwK3KAEdoSAHBZgTNo7KP28/ivxsI7Ee43VROSXAPQi4d0rgLfEpMQ+cEtzc21y9b74ZNWDT1NqPpBHqKc4MIxxuPrzI2jQG1geiBMDWNSoXkZnGOyn3nrvYFrV3ty5sxAs07B3A7d9PU0yn4obpTUu9Lb7BTWGDUygTbE+zfcvXWgqFHUYZ35Fyn3RKsHHvSHgfXIKAqLV6fB/YC8CFSOHSUaSIbdeoU/eOFMeE6c2zk650bcxNL5wn+a45ajNBwTMoWJrakkfPD710zXEh3jIu4EbmpJ17h9/4hk4OA7Zd6VOjQ2YiuFgRfIgK4DZz0uO1u9OxbTOOdJ2gay916JvMhbRjmeh6RfOB6YLTyCK+oWQR3xB3nEB8AxjE7Gx2p4SwAAOnBOAAdU9HggTdmlNWKOtgm3tsALhECWc0O0IXMejrQPePPq6L43APAg6h5zwV3cntlKDEPHBKSM+NhxbFYrjGT/cZJEwAbpwSTt4yLo8NapA9MF/BsPYQECUA53ReRPaXO5+22FYztMOut3RSFyxFCe0Lydx2u7oyVZrYARtRQmt8Q8F4USupQEMnQJ/WxWk6Z2kcCaNc6uicpAKwpVAmaiPdjPNg67bUfz9N4VIYdtpEC8BqkariKFLEtmu0Fxxl6Ob5vZfcYpiV7qArnV7DewHYbcwNdfgvVmpWmfE0l2ke2QhE9IJCvmuOzgkljcBEdaAYd/hHj20L8Va8s70XxB1p4hvo/DY5UjK83qS3yu90nmRxStDcS6bu7i+ZRQ4kjqWFU0KcQBwh/M9Ji9eja0XTKaFufmwTECWAQcNXfIMqwKArFLhAPSqQAxMnyimBQFeoGw4tVMTFNxxGQcthAeb0rRPynu/uhYqYXam6+aD6lKizIGt8A9yDgEPo+VrNZE73oKhYD9fE9FDMNaE+QrjduBMlkIPIaVsCtwQI9noLiBIA6yIuV5FIaG1q01lpv+dbt4gD82VLq3y7woZuIZkzpzwxlzqFwISyqU2ylIP9WBsHm2J6Lzgl6DYTdK0yxzdExpFsvow7V7XFNooU4UNXOE1rjW5yA6+GTBXLbJwS5O877MC1QnNcpIlvWLaak5H4BosYDPUa8Y+PNzpB/2HadqUTH/jB7eLj/3dn9/vQlJAFXWM2TijJ7h28oqP2a14KRxlL8VYxov63n5MFb9FLSQVz62L6akM6JdCfJlb50ePSxio/aU5yio5cXm9oHtJ5zvR+OD6WpgKPqEjW1315osjVQlBIgi2aS9OjJUEupWniG9DtCgYJH9nZLQWYmll8HwA61L3EMLNNNV0zyKmIQFeoGy78xQHxo9uPicv2zDh6xfyTtgAzMTIkTtg4Jr++GfnZHVHPhwXmDnO4B4GsxDX8TgnBeapsuL4PWpldrjbP1w87ebP88zZE8DgTJRBnRCIcQO8AUQJwTufChvDYAWxfbFMLniZZmHIROINcaq4OwfU+S9uFbCunhLAIYW+Vn5xlzDeW+m5u+/gG1QFsaqcdfK26qW0+i/b3wVi0TPws7cZSzWMjp4Twd5rxDRZOCdHzg7+xTHDvsJyV9pEiBQfiLU0BmNUFpZ001xx6uFwIx9NIKBOJFEkj/vI6lrETTBrxlpVQJqP4Bk6nBJ3gKM0+0DV3ciSw31b2kN2d49JZ5ScJCqkowOKUkHC9sT22g+7+QtjdbygqiOyJqcAjOb6BT9xBA5YUD2P6WR6cr4jtUyNyTpmcn3QxGKZCGQDyjI/sbAL52SCT+Abm4gsxGh476ApNz96ZFXHXbNDwg45QTQEmhXhsrfgSFLnA+kI9zigYuAeBLK6JNIOVcI4LJXK1ceAFa1y5b04+p56yeVw88MQNzWukqfNpP+JKlHDm9iDa6M6ZleYaIfAPRAnAObp8b3Y77YbbQro6EZrcrEYL6dZW+ZpCNnd3f7J1sWATJcTttE2LREm25HIshces9BRCHdUBbKJKjY6D6qa2c53QFQ0FC8muF3bFfBsr2aZVfvh3m8KlrviqXtOnxXuaz9KmANxybKcSb7mN8zDbvr7gl0bgQVDBrft9CP5sXnMsYgeC601CJzNbh7/j86QSb9XSxTeYziWdowy/UEZ3frG75tF1gsaCui+6nVfx+xebrvSk90GHBkeHe+CC4u7YprEjwRCt3xjFN8TGMhB4mPx+rwiO9PtgugsH58vi+KmR5u9375TQelwivgEMGj6ys4kxlZ9dNb+eApDslMAvSljrCkWhIC0/vXPNHeHOmWU4F4Wo5ps0BZgztwXFl1uOLGFcu7kmsgv14B4E3KEaBkioxymuiZ6nbFxjQQA9x15515z8+twTN4gtE8NienRIuiJSAX3QUfWONEI9YvP4sNg2OSzXPm49AsFerwBRAnCOrpDOXrhM6lK0fD3VAWxslR/ppLa5UOtEAbK7X/CRWMxPE99g0EndZvFuE9+QuBjOa13c7t5hXzi1mpOxrs9RR64TaSz/nXWlR7rFbQrpxo4TLd3UVKhz0wHMGYWhK6qlObaXquYF4Og4KKt84wKwbk5azge3TgnpBCYmSvd4sc0mdqBz9JJgQffZpxGP2cY3RF2O6L1T1I0bcYVfQaGt6wSd32QxvdB9bEB8H1w6JRSLPCJX18e2FHeUKL7BbP/j4zBk7JTQA/ENSXPS4ri4/dhy05rY5D3Ej0vTGAwA8o63+IZQlEDHG9xJgDOnBB+iBHSFOoFimH6xf0F+TYYXdJ+5f677mNR+he6TlRV7GlHCro2jYmI4EPvvnUVRa133IPZr4lBzXRSAtFTrdX9CPVwTU0MxDTPLNSlWOvv4KfnMfuqWwO1m0F2EavV681k9rVNCVLB3E1yEegaIEoBzdPnecrLJwgLj4me8m5s6BFN2pZsUw6P27KoD2LzbUteVzumUkGC3a1lcoQetlVpdjmO3v08/F+2WtIpv6FigEd4cRNJkpdND1MTwkHmxLbIL1PUazSDrPptaOLNXN8W164XMSh8ZkuPQ7ZyMdlITslBnXLRMjhTxWbh0Ed9gbJWvju2hovy7mznJd54MrPL17kBpdsHEljZw5ln7u3RBcRDNwn7NyUi8ZXaebDQdJ+hP6Q5gJfAoaArpwrs41KqYTh3+Q6qY3u0+rDl32Frld4rrYYlv6HC9sRLBtYgSuv89+tliNArD8JqTOI6sczJpLM3m5EK5Jrsb7rNjWv7daE7K5xP7GAwA+ie+gXcJSFpjh1/TcyAAaVBC0RJzITG6KG4qRget/HzvnCw0nLBhVJwRFglIcDjoRJ9X0pyn6V7ndFV8OYT87J4T6imnBLgHAadOCT6vibi3s+WKvbPyz/vunBbD4Wd4ypZx+eftxwa7oz/aZOXi2eXMZrTRIpzbegSIEgCfbTCrU0L7AmwaC2q7rPQ1K2y60aX3brr4Wdd2pfN2AGutiy1dJ+iiMhT+brdjoX5KFdxcWuXTEhmfjaguisO+k5pu/KZGhwznZCzj26aYriu2pRD8mJJ0DNsWLithVrrRnHRU2HBZ7LJBd1ykmZNWrhMRQQGNKeWtW4mOYu+D+zyZKN5KIcQrGTglBMKMtZ+3cpSJzWsfY6kTeNCNKqegMC7OKFmdJ9vP973RlW4f30DHpnwPdTvxVsmlUwLTWCYW8y2P7aNLVWkdaLr/aaMwOo0jRwxGZ5Gr2Zw8slQVWyZGxMTIkLlTgia+gd4+13EJQO90hfJ209G9xVqEA3JcQTrULZ3PrlDEN9hD9x0/uzMowjz4pE3N4ssdECU05xXd56V1Alkrvgx2Uas7oR7vuWQ8dEogYY6pGx8AcdQc8nNNDLaJa6Id1Mz1q7sD4di5J2xofv/U8Lq4d2ZloAUfal4F61Dp5/fJW8Zlw9F8eVUcWqw42EOQFogSgHOSFz/5CpeysNG2fZHeltyw2KbuC2jhk24SjDtXNa4TaRwf3FkX2+0DvX8qltFDVrfFdLUdNafsChuN3nBKcOgwQBb5UpRg5N5BHcAiVTFd14Er3weTC4ru2E5zfCs7bZPjM16osrEljzqp+HJKIFxGcaxZ5dsX22SHv7HoSCdC43TmSRbK2Jxf1DmB5pXJPsTH0UU0Sy9cc4JIk4b1g0wgdGmYdaWntHjXuU6QCIwzLkj3YdqeX6RTAnX4G3TW6yIHbMZR9wDKNpYdXJZsNn94sSK2TY4YOyWkHcvkaBbeOZns3tH9PtRW63IxQWHq3hF3OSK4hBkA+EbFa3F3hRJjpaFmZygATuIbmMU1BPKz03PjoUUxu1KTjo/33jElTt4cFF/2HFseeJGgKsC4sKk+fWsgStg/Xxbz5Vrq1+tH1JoF9zWRnk2b7kG4JoKU0LORr0gjOCWkg0QHdE9Dzr07N4w2v09NDBvGSoJOUfQzg4rLayJRKhbFcVMj8uvDi1UnrwnSAVECcE5yYYOxS1Cb58xcbIt1fMrYAYOsdd1reOm21HVzW36WygKabsRNCsDBNgspCumdhDKMRaL49lPEN1DBcWqklCq+wVXGN6fgKLGwYdsBHBbbyCrLRCiTutiWEHPDK5TRCEwcxDcYz8nIFcPq+NbOSWanhMTYA/PXs1mckMVb4eJ60/593muOY0eZGjnKmJ4nG62OMrZzMu4ow+iCEhTT01vlK+jcGMQ3mHaluxjHpA5/kbtj+0hTlGDqlBBzOSqaOW8luUUF4g7BhgtxKL3v6KJbsWgyJ9uv3fRX0+s3AHnFV3wDoZwSEN8A0lLrga5QUwE1WOOyPTPyzweeuEE+f++YHhWjQ0V5bjg4P9idiy4LMPT8syssct0Ct4SO480tSqB78rVrItyDgKtII3/uQUr0Csy47ehy0xkh+qxOXyu3hNuODq7bjWtRAkGOi8TRpcG+3+gVIEoAbIXsNE4FNvsQX/5M081tk5UurYsjfx+16gDWd43yjWOH3HuL16ObFVoIo5uXbsdSLVarKWUbOeDbljxeVHBTbBsS1TTxDbYdwG3Fth6wJbfcB1Vsk0KZLo/PuFW+vVDGb6SIbizTiCJUPIvRnHTUTd1+bHELZfTiLRuBx5oIzvB6U4hdb4ydEjo44wgetNe8FPENdHyT8jxVfIMUb3W/TTp+dcVsVqt8jaONm/iG7ovYcccJK5ejJEGhdGxoeLmXtD22rzswL+ZWVsXWCYpvMNv/uFjHPL4h+V7Ot8jVVJzZJkowuCfUXStsxJkA5D++wYdTgsrQRgEGuHJK8JefbepGBtbEmVSEoSvxg3ZvbF6Hd28ek18jP9ttAeaMbZPyz5sOB/bgoHeEeuNwDwKOqIVrb8Ok1GYG18R0KMHBKVsCZ5sop4QuQreHwoWBFiU4vN/bMj7cjNUE/oEoATinU1e6V6eEFAVgOhkGkQNmhY3ogrzsXDWOb0jIpWYrEbntEmw6Jci88+472wglKrDq7u9YbPPdAWy3fRrLyRESJXA7JWjmpIGld6YF4IZ9sY06NboVFtCciV48rcdR8/1APMWDrt6Wppgv3TtMu9JjzjolV3OS05nHscU7XW+o+yvNsU3ZmMYiuA6CQs6x1M5J2/iG1bqYNnZKaBWxmR7fjaRoFM7zpHPxVhjfYOKUELfKNxR36NwWWgrRHKKEjpEDZq915V1z4olnbYuMo/3naSPOTL4vD8b5wmsPZGoPmXQMG8c3aEQJ3UeKtF8rbESFAOTfqpq/m46s2olFiBJAnp0SwuIlnBLsuDns2D9ly7jYFBYGCBXhcMcAF18ItVboqgBz5rag0HXrkcEe154U6sE9CPSVUwKEejbnn7tmg2dv5YoQ5dRQqEA/M6jjm41TAkQJvQRECcA5nbNreQZcV/Cz7RBUFwzqSjeOb0hrS651SmB0nEgq5lt2AAeihIJcROg6viH2Wdpa5Sfbkgt/Xelp5mStIfNZjQobmgKwjZ120WcHcGIxP118g5kteXpxh+gYKSJY0DoMpIhvoDkpu9JTFoBdzMnecJSxc71QLihprjf0gKhu4n0UYJ3PyZSOMiZjWU95zVE/6jV6yfFnqQSFJuJSJ/EN9H8er92J1xthfj9L733zeEl+LccxRfyC8ZxM+L5qqKFduWrfvLj2wLzIiqT7MNM5SU48raIEQ6FM7Hs2YhkA8gidz9Sipo+u0MnRUJRQhlMCcOWU4LEAY3BfCda4NewKPX3rhLYj9I5jK2yOgYNQgNkRxjeQC59yfgVrqCYpEvP7EiUsQ6gHUqIaWXwK9eAeZM6dx5YF3UpsGCs1C+VRNo2XxPTokPyZA/NlMYisZChKOAanhJ4AogTgnERbcoPcVzf74LArnQobIyXDztV0drvBa+gKG4yOEwmbsbV4l13pVAA2sF52YwGdYGXNnafsyL1DLiyu1sX4cNHQAlpT2LASynick/R/BccdwM1iW5f74CC+QUZAaL7P25We5N6RRrxVElWDTDkn7h2eI0UIvVW+5XkyHEeaU93bkjfaz5PG4q1kcQWPVX6wDZ07kM3W1Xly0vTaHe/wL5gd30rU0y7eYnaL0sYOmIu3aBypiERdrkbnydgY2M1J/XlyyLCo71rcEcxJs+1HO/xNXTN050mjOZnoghJ8T83LLDvFkkWuFvENkf00jRSJj4ON6wQAeYSOHTXTfXSF0nM0sYDCGEiJ0tx6saoOjx1T4S8IGhhUfvZpMVHCro1jsqBGxfNDi4Ob8+xalEDneipqEceWYVXdW5FGweeyUsW5BOQ50qjQFI1zrr31A+p6SC4JWifgQqHpKDSo985ZOiXMrtRErY7zr28gSgDO8V3YUOiKVOlsyc1yqekns7DKT9M16kpgYtuFXF5tmBeANR2CNp3Uegtoe6GKqw5gm2OCbvoaYT5rqsKGYbFN9xrqdVjFHbrP0jq+Qc1J0XWRq62T2qKokSze4j5PxrafwmGAzo8UKdIL8Q1SXCGE3wKw5T5Q99X48JB8xW6L6UGxLa14y200iilqE+3uQHbHBJ3baAioE8X8PNkqOjKKb1BOCcLfeVJe15KK6YZjSQ9sjVCtbyL2iReAbYu/nWIHOEg8tk2dEqjDP1wsMhVNpT1Pxn8/Oo5R8ZRaWOKPuen+vdD7tnZKSLxWYBEN9D/Re7NhDx3m9BxNLJRr7NsG/YVPpwS1MD6oVspp2De3IgsM46Wi2Bl28Cvoun7ipjH59R3HBjdqIIsCzGbkZ/ekKIGai4jl2mAWG4E7aG3Ym1NC5NgxWQMEUVFCq0gvCq2tDvK9s5pTLq+JNKbk3k1HzczyYI5rLwFRAsgE34vIusJpWqv8ICu9kcKWXDjsShcs6BZw01i8U4GNFsLSLCJb5VL3xJxsX5GXBWBLkQxdSGksUhc2TDtXNcUN7sz5JNcLuwIwuXcUjMQAQQdwSseJxEgRPitp/XkyRXyDckowjG9I0wHcfI3Y99gdZbTnSbv4BlqQGh0qSFeZbq85OhcUF+OYRhRgylrsgavIgaB4SQ/oJvtPPxt9pjc9vjvFN3B2ZCcXgLt/DZq/1x1YEDumR+X7MXOUab92y05dw9gBrQiNyXkr8Xojj21h75Rgeu8ROzZthEJJy1S0S03bz4wXZZNETyZjER1HwuQ+SHeq5ozxAqAXbKqD5zAPogS1sDqg3V7AHer+FlbV+eKWI0F0w6lbJ7TnoJPDCIfbw0LNIJKJKAH52YkocVGWotwk4JQAXKG6vX0I9eiZTD2WqftM0N25noR6yilhvXvnxQG9d87imkjrEcot4SgiHLwDUQJwTrxj00vuvKaoZmvv3iy2GWela7qpbayLHcZQuLLbtXWdkPENFk4JxWgutU1Xei9Y5Ws7gF2Mo6mFs0hVTNcd3+rz5JiXiRnflsfFWnxD94WJ+DjK+AYH4g4/czLm3pGiQFOuNaTytGrwAtJRJuXxHbjStFtyc7lxJX2W9k4JQcwNCY+6veY4cZzoaFXPR7ujjKXgKHqeNLW6Fyms8pOum4wuKB2L6Qavc3ixKi6+8XAzk9bEUUY3joSxa4VIEG9xXG86HtuNFKIEU6eE1nOczbU/SZVAr8VRJEwSuZqKM2nhrdUpoftzfVIk2iDnV4PBwWdHKEGiVYLigADIrVV1WPSBU4I5tx7RRzcoTglFCXBKcGxVHTolIL6hHSX+9xLfEDolqMx0ANI7JfDPY3quUscPYo26Z8+xZbkmsnm81Ixo0DEZ3jsPqqA3C1ECsWViRP4JUYJ/IEoAzokXkVu7mXgGPLmYb/d69OBJecpmdrnpO1fjNvHNBVjBQ6fOWdvOVSq2mVlAty5kW3f3J+QpswllkrrSbQvpchwtcqmF+ygMKrYRHEOZVDi1tZinsaR8UJMiT3xO2og7CN2c5LV4d9MBTNA8ouOSIkVMO7FTH9+aYhdXJ/V6rhe2c9JUdBQ48wgH7h0Jc5JhUiYVedMIjqjzxbQTOn69oPVnM6eE5OIr27HdIXbA5LigMSTb1yfcY5v8u9GcjN8DhV+aCTySYih4REeJLig28Q31elOYYSqqiJ9jTIWhSfNB7ctiaAmZ5f1Q0iubzsm4U4KR85ZGZJJGiAdAnvAvSlBOCTXkDoNUwCkhn4WFvTOBKOH0rfqu0OOnAwHsfHnVyHWvLwswDs/TqiP0GDpC21DiIh/XRVpbHuQOaNAfkUYtsUYDet5OE91wSofohhaXsQGNb8hKlLAWa1Rx+rrAHIgSAGOBxnMHsGWxTV1gTXOpXRQupcBDYwHNUSBS20+027XoXW0ptpl0W6a1gE6Yk6wFYG1XumV8g7R3NxN3BPsQm5MWUQHx1yBUfYDFTjux2GbbTa2EMmbuHXFxB/2umUV8snsHRwdw0mdpm69ND/X0HES2wGndO4yFMlpLbp5O6rXt68+TNsV0UruTjbrJnAzmU8xxwkK8pbspJIGHQXKR8/gGW2ceOk/K641pzE1M4CGdUEzcPzTCLf6Ym4QOf0PxFr1vEho1O/yl2Kf7fYiOI52jbRw8dO9jKDKWWY5p8rFtLg5NE98QL6abRqokCUzlvhTXui9Mz71ORK6mc5JiWSKLbmaRIq3H9trvQ5UABqn44mfRenIk6Pai43W5ioVr4ECU4GEuN4sv6G42gtwP6Fli03ipWQyIMz5cbApYB7VQm2l8w3LV2Wv2nVjPccHLRKinhMEA2NKM4Ys/5DChRD24LnbPbUeX1o1uaHEZG/RromPhGOIbegeIEgBLoctHxrfWKt/ShJpsyceHh8wLG2nttBOt8vkKGzrsM76pSGTWudre3R/8abagn2SnzVckEg7dO8hmiB7qTbtF65pim6s5aZoLbUvSeAXbN9+BuXJNRg4YdVvGim2q0GSaO697bpAFVJ/uHWmObRv3DuHIvUNjyc3W/ZpklU9zyjp2oGDeAZxW3NHB8YFLcES0Xbtt4xss52RcMCQFhYbvv5MIjiXmJslRxtgqX1cANnBKiH3PVCyTOCdDockNdy+Id198s/AhsjX9HFfj8Q31dE4JZoe3/r48eK2CWAjt1LN2StCKXG3mZMSe1Mx5q30fbF2WAMitTbWH4gtB5z8qOhKLFRRhQHqr6qhrDnvxhUOt20fceiQowJy+dUJ7L0DQ95tW1QMa81JezSC+IRQlzK/UBtaBohcdhKZGBtuWHfSPU8JIqdBy/gKdWa6uiv1zZfn1qV07JQzmeSK7+AbllACxnm8gSgCZoO8SZCwSJXRzp7UlN+8Abu1cNe8Abu925IzBEI4KG9FiG11QqKDQbWFCdu/GuvuNLaBlAThpTjJ2pTtynKCc721TI8aiCl0B2Cp3Xvgcy4az3Huy055ZroptkyPG3ZatBaKggJwm3iX6WqzHdzyKw9JRZs0FxXBO6uIbrCJFhEdHmaTc+RRjqYrpRlnpInZsC4fHtmB0Sog7ytgJjmRckLWjjP15Mmk+qDqqT/GW6VjUVusti/4m7kI6sZCNWKbTnNwXPtDzH9s28Q1rAo9AVGGyH63jENyDmd0DJUEfr+q+yFSUkOTeYSjwaI9vMLuf1LnqIL4BDAK+4xtaijADurgK3KBMCshVjBt1/Mj1IVw8jEUJp23trgAzqMKlLAowFBNAXaZ0pzSzPJjj2skx05eDUDPSqLzKIlgHgxBp5Of+TnWxwymhe+cg+sS2TgyLDWPBfXES1Dynos8GkSyEelFRAtUC4JjoF4gSgHOCTiTh2bpY0wFMdrsWmydFcWBLbhbfoOtcNc9KT7Cy5rLK72i3a759suuUogRTW/KYBbRxxneCuMK829Ae3XDZZs4fXqyI7YaF9GAfNN3UxnMyQRTA5DqR1LlqUwAmZSQtkAZz0rDbMnZkmIqOkgo0XOdJ2r6uk9k+vqHRPLaNj02RtpjePic5xVuJufOW50kqppvGs8SFV65cUAhTwU0vFIBVR1DggmJ6ntQJPBx094ffZIu5SYheMo1vaC0Am7l3xDGdl0k/qeakWrzNjE7XG4OXoX2lt606/NOKt0zvXZLugYLXKohyLRQlZDw3k46LdHPSXlAY/D6jYxYAHil7jm9oLcIM5uIqcNwV6sEpIbownvk9SJ8wX66JgwsVeQ+6bldoeI6YH1DhUhaiBLpnbUY4ID+75d7aZ3yDKjbSvfcKziXAgXuQj0ij6PEDp4T1WaqsiotvONyVSC8a30Cf8SDec2TllEBikMDBU4jZFTyT+ASiBMBWyDYtVqXaB833bIttzVxqw4VLrQW0abFNU/zshcKGrevEkaWK2Dox0pIHbdttaWYBnVQA5nRK0HcAm26eHuzvml0JRQmmhY3WOemqK33t+BaZk1D/tSoAH1qoiG2TwUO6Se583L3D1nUi2eKd59jW7UPQlZ7CKcG0A9iFo4zGCYVVBJeUO2/h3tES32AwJ+nnWq43FtfbpMJlIPDgaO9PKABbxjccXCiL46ftzpNxgYeR4Cjh+9GYG3ogzfR+KLEr3cYq3zK+QfN5UiOFK4EH7UfWD+eJx7bh9UbNH7VWZHrvEb/uGf++5l4yeq4oh4tZpudeZ9duQ4ej1kgRE6GMTohHogiIEkD/4zu+ocWGFnbVwEVXqIcCDN0Tq/siVdAEnbktdEnYsWG0WYhd39J+MIsEWRVgNo8H43p0GVbVimp9bWXYh4MQNbyREy8B9yCQBno28iXUi56vlPMISP6cPn/VfnGEopjHSuKxp2/pamzVvc4gOghldU2ktZTNE8F18RgiHLwCUQJgK2Szdq5qFpKdZKUbPHsGufNprfL1MRSEyb4471y1KBKtVFelRTBZ5ZjlUusjLJxZ5TOtJ+iK+cFivNlI/uSOGXHy5nGxc8OoXWGjZU6ad0AnHt9sHf5JBWDTYltdfPNXh8XZO6aMRRW6Qplp4VLntqD2w6cbqG0BmIqsY8OW8Q1pOqkTHB9MLL3T0qlwmuaaY2SV33Zs2zjzNPzGNyQVLQ3t3RUH5yvi+Cnz82SbwMNiLJPyclWH//nfvVVcclOgks+CJIFJeqt82n+DfYh9zzS+IWlO0LWLXibrgkDSUJmKt1bDcVTzwsa9IzoQNveziU4JxeCBP2tHlOA96MVbZpEiGqGM0bVbJ2DrevMA5JaeiG8Y8Lx44Nopwc9cVsfQIHYt2vCrQ4vyz9PWcUmIOiUsDuA5gu7Ps8vPHpF/HlsavKJWElGreV8d5oNuzQ5cOyV4viZCqNfx/P6V6+6W0Q10fn/RA3c174m7FvQO2HWR1geUoNr1NTEa4UAiEeAPiBKAc3zbkjf3QRPfQFs3LW7QyX9CWkCb5lLHLKBtOld1MRRhfr1fq3zz7R9erMoTPxUlTBaBg67V1u+ZFy7135eL8Gzd1Jo5aVG0pEVFEiQE88AiviFDpwSewmXDyZxcqdbFcm1VnLd7k2W3ZUr3DuHZKj/chN69w3z7dDNHuWgmhXS5HxGhla3giGgXbwX7wdEBmyze4nPn0UazOHJK4L3euHHmoYibuxfK4jjplGA+J9Ncu5POkURUIJHlg2Xn6CVhVgCOLHAYOcpoC8Cm1zya1wWPTgkJcUWpHScs7icjn6j5nE7+4SC+oS67tdab59+/5ai4+XBQXHD1bFBwOJb0b1feNdd5Hwrptg9A3gswPkUJKMCAvDslEKMlOCV0yzX75sR1Bxbk1/c6fnLdn59sOiUMVvEl3rnv3CkhLL4cW644fd2+cA8id8Ik5W7GqKLkIIpwQH9EGkXvK6NCH7AGPad+5+aj4up98/K59Xn33yGOmxo1F/QO2HUxOp8yESWMK7EeRAk+gSgBZEInu10OdAvy6hrdsCy2mSzGNzuhC7ECsGnnaoJ1MGfnqg6bLr0D82WxbXIk0tnWsO4oN7V4jxc+FaafaVrabYODfWtYdgm6EMqYFy6TizRchUvhotiWKpe6fQxcxTeYxh/YopY9tO4dttEsMlLEwlY8bpVv+Ps6bM/3tiR1+Jt+ljSH6Jqz5ihjIN5yITjyeWwn2rubFw2pePqAEzaIjWM0juQsZCoqaJ2TZkIZffE1fnxn8XC1tg96gQd9r24wmqnOk5pxCOIr0gs8lPiJwykhWdxhMo517Th28xrqZ6IfZyDUcSWUCR76x0pD694PfOfmI+LTP9/X9Xa7cu+wunbHhTKiuahw0a8Odd6Htkg0PsE0AINcyCWm4ZQAUkLXvrCW6L0AA6eE9dd+qDOUePRpm8XuTePrju106JSwUK4NbJGcZvWw47mtOkKPovjSU0I91QE9D6cE4MQpwW98A66J7eyfWxH/etlecemtR+Xfn3qv48Tp29YX6GkFvQN2XVTziaZ1Fs5YSqx3dAliPZ905xcCgIPCQlAY4BlK3eKn+nvcBnc96CRFlmfGHcAU3xDZkE3nqrSRTuqmZsv4LjgpEt10eFGcvnXCrrChKwA7KFyafqZp0HWNqr+ZTEm5ID9kbwGd1uKd8O2E4rtz1UV8Q7KjDK+4Q+cwYLP1I4tVcf+d05YdwOmdEuIdDvQ6BL1WMeMHtKQOfxsnFBJ3jA8XpSLaZCzrrqJZfIrgEiqnNs48VKw+Y5v59UZ3zTGOHOhwQo9+ppmKEjo4VqUTb6U7T5qKrjq5d9D8Vg+rtE9ZdDklFtIdjGPz9bvYB7nN6PaFzTjqt0TjRs5Bo8PrOyXsmB4RB+YroTCv4OT8kj5SZO2aSeIP6jQ0mpOeI5MA4KIairh8FXKj1uyDtrAK3BFtxPRlVd3Mz1bqCNDGcnVVfOHK/fKafMbWCfFrZ2ztapQmB9gpIWpTbXqPtR5bxoPiy8xyLbN75txGGmX4PLYegxxXAtxBzz9ehXpwD9Lec3/rxsPip3tm5TMwObI84R7bxIN2b7QWL1EU9kC62WR0jqbGYwJiPb/AKQGw5cYOsXelF7R/N7XTPqqcEtJ2pVt2rha9dq4m2e2aLcjTgvOtR5bEPbYHqkASuqUpbNh1pettwdncOzTfUw+EpsWN4VApaGr1Hy9U2c5J3aSQxaY6FacrYm4lu8XGeBdzusJGpNvSSCijd+8wadpNLgAzWeV3cO8w3f7sclVa5ZMTilWkSKoCsP5n1UvyFNP13zeNb6Bx/+7NR8WO6VFjRxndOBo78zQ8R4okOiWYu3dEC5e0Zm3u3pHyepNQalZW+Vl35nTsSjd4naQOf2vHKosIrU7irUoteK0s56f2emMozAxiMFrHkehmXuqidozvR9eJFKEMUBnfsM5r0nWOMBXYdjy/2IxlglCGOoVo35LGRifWsY0sAiC39r4enRImw4LjoC2sAndErz++nRJgVa3/fPbOrIj/uvqAOLpcFZvGS+LZ99vRdRF8kIu05Vp2ouUNY4HYnT6f+QzXaXIpSvAaaTS4Ihzg3ikhi27ybhhV18SMHQzzxA9vOyYuCwUJ99kxJf7gkaeIB58UxAabMtl0GasNpJg6KwHqWqxRFWsBHoFTAsiEpEVkLkG5PjdW/Vv3r7NUWZUPVo8+bUvqrnR6vrCJbxBeO1eTbclNC8CkdFO2neaFjda9cGWnbVL0S4POfjn6d1pAH+rSKyFabFNd7d0q3uOFKtPu/vWK6TS///GHe8RxUyPitY842eh1u99+w03nalthwyQrPSm+wexGXPc+uNw7dIUu2wLwj24/Ju63a4PYOD4syqtl85iblLEDhC4nnFPgkTQnTd7K7HJN/PLggnj+A3ZGxFtd7kNsHNU8MumGSTpPBoJCwUKi44Th67TG3BhGisTOcYHgyF7UEIVei2vhSX/tLhhfu9VCg7FTgu78IuMjRPp4lnBOVsNzLn0+w0NJr9EQK7W6GE/6gY7b73S9SdPdH/wpd79oHrVj7sKifx9qX8rh+KzUOs/NRmTxy3w43Yhc5TktMmbR+0l1P0P7pzK/W/dA55TAI14DoGfiGzwtWrcUHCur6NYFqeYxnbuVKxo3qmsPVtVrXH9wQRZh9s+Vm+tddN9DzzQTYZenyTmCxJIk+vDZxc6NKuhlIUqgY2XT+LBstiKxCD2zDzrNLlyPQj24B4F+iOdauybigUqxZ2ZZ/vmEe2wVjzx1S6rxVU4JgyZeUudo13FGCromFsLt0NiqWhXgZXDu8gAbnex22brSNZtpWuUb7MLP986KEzeNiV0bRo33X0YvRP5uWthQJI4lV+eqi842slCPLB6YjqWuAGxqp60vtjF1Uod/tnXoxf69685VFd8QnsG7Hcq484Z5sS1JJtNa+MvyOE/upraIb2jpXDUstom08Q0J42hhu++8aGn4OrQoR0IUO6v8WOyAsftH8Kf2+PbsKCNFQ4YuKNTJcq/jp5q/b1sAjsZXpJ6TXOIORyI4nXjLWFAYF8o00s+HYF/WVO423ebpI0UsxFtDKcRb2vgIQ4FIB5cj1RnSaSz3zZXF+75za1Nt78QFxbCQHXfmiYum9s2tSJV+p32IDoP8XYMzdachp8+U9k86JawzRGuOBHZjmSzeMri3jomGouO4Jkqod7gHandRg1MCGATofO47voFycZVjD9wSQF7FNc38bHSFNrn4hsNi7+yKFCRMDBfFmdsmxIvO3SV2bhgzG9uhYvMcNagFmKzi3TaHQgRYVQfUVKSRT1HCgBYbgTvoGajphOXp/q7plBDNVxpwDi1U5J8nbx5P/VoU6yoG8L65mrGbDR0v5OZE4LroD4gSgHO6yUq/41igHOMsptMiMH3LZCGXHjbJkjxYQA4KG90uXsb3wc4qP2EsmTpXO1vlCycZwDYFHiuBh1bcwVS01BQVgr8Ho2vb4W9iAa3tADZ2nFD73bnDP9pZ6xpXhY3UtuTxbktDgUuyeItrTrrpAG4vAJsJpuL7YSzuCP/UFy4Zz5NJVvlsczIQfkV/1yZ2IXkcmeak5vuB5b/ZawWio7WYG7P9TxspkuyUQNfu+VCUkKX4KCk2xEq8lSbmpq0rPZ1AJC44Ul1lncZSffa/OLDQ/YYzEGbGOzqjY3HZHTPiuoT90wmv7MRf+n9TH+/YMIkSOr+o+mfKiDYl6TdM56TuXKeuOWrxImn/dPeTcEoAg0IvxDfQ8UrCBBN7dloz+Mcf78l87QDkg16Yx4hvaIUKUdR9T7z6YSeJt/zaaeLFDzxBnLZ1wnhs6TlkzVGlNpiihIzWUbYoq+olvQh20FD3ir4s71uKjQMYVwLcEF2jyMrmvmunBAj1mm7b8+ExvT1s3HIiXhq0+AYGB5BmhAOui96AKAE4J7mzLVhEpQeXT/5077o2san3wUUxPVoADo8Wk8JltCPLTpSQtCDPZUuu3wEp7jC2LrYsbGgKPDbFdH3kAFPRMvwzeU6ajuWaKCH4LAzcO+JCGcNc6iSihb+sFP5yH+T/az5LkVIoY5A7r5tPxhbxDf37YItvSHS8sCwA23alx25EzI/tzl3pVKy6e6Gc+cJW4rFt8Bo6i/duj0/d52lcTO8klGEQvidt3yq+ISLwsIteShMXlAztklK5ZypKcCbeap+TaRxlTLefFDtA+0EuCTSEssO/w2uq9REbBXyne0n5712+l/g4xseSHroTu/vDcYzeV5veNyS9D3XNIcZKQ+ueL9SctckMdSVyjc/tqOPVek4JMi5IK5RhuOgC4BkVd5OVDWq3KFHCQhf3ZXSe+8b1d4sD82Vx5V1zDHsH8uOU4G8eq3ggFGACDi1Wmsf2jg2j2nVAE6ZGVH726mDGCZSyz88GEYFTsRecEmq4FwWpXLAIOCX01jVx41hJPl87i3kZUKeELMU2WyYC0cgRiBK8AVEC4JtsYYFILchnWeRI7AKWNq32xTbC1rqYFn5N7Zo7Czx4KpcuLN7bLaDTFYCN7bQ72JJTMWO5uireddFNIiuasQdJc9LgtdoFHiZzMt5taRdfoZ2T5N5Rz16UQG/CReFS695Rtz+/2Ixlp5gb6qZ+37dvEVmRJIownY96UYJpV3mreMvoPLlOVzqdJz76oz3iS9ccFPyuE/bXGzvxVuw8WXAjOjIRR2QhODIvZKd07+hgD98tSQuy9JmqDOIsx9SV6CjdebJ9HEwjTZJ+VI1jIbzedDpnpIscSHaUCV67u9dZXccpge6RVBSFbh/iGF9vEt6H2g8iiG9YzykhcClI2teOu5AgMDEVWATCAr3zltqv5LFsv580jeIAIK/0QnxDtDO0m4LjzYeXxIH5YHH36FLwJxhsmt3NcEroGe4ObapVlJ+7AsxgdYVmnQu/BfENreOt8so9nksmw7lOH/1KFdb3wF5wGo1K5mYkFOrZiNb7EWqIcnlNnAyFevR8q9aRBkmol+U5Wl0Xj+EZwxsQJQDnJHb3h5EDzS7BjIsc+mJ6sq3xernz6vVsrYuDQrq5KEEHLcKueu1cdRHfkK4AbG5L3v49tZit7LSzEnp0elXeKIx4t6VZlrI6dvTFrkJzoSgrhX+wD25y56MuKE46gA1zqZM6/INoloY4OF8WyxnedHY6to0LwC2RIma/Hz++lS1717/f4d+i+5KliCvplY0dZdLMSU30gY07T6c56TUGw/C1Wl2O0jklFBxFDqj5rR4m1xPfkPWfqZBxvX0wF8HV7QWFmjlpc35JEsHROJKF8nrzPI0oQW5f+73guw3LyIG42Ic+56SFHN252lj81eHf1IN+t/ENJAKxE3gknF9s4huivx85PtXCXKIoQSOMkEIZ4zMMAHm2vfe7/GNScPzBbUebXyPvFRDq8jPs0XJdie/Vgvmgs1aAGXXyemtW1QPWFdoUJSC+YVCcEqjRaDw8nwyaCAc4Ftd4vCY2I42kiyGui0qo5yK6Qd1zqOf1QYpw4HBK2DQeCD5mVwZnXHsNiBIAW7FLLWYrG23bxfY0xQ27LsFic2E8TVd6sHDe/baDF+k8llmTaLdrmJVOC91txbYuP3/dQrarBflgP8Ra52pWczJ82aRiurGd9pAbgYdpt2Uz2zphTqrFgywf7ZKLbZxCGV0HsPlYJok7aE6uZKyC7dQBbBXfEN4sWmWdt2zfsJM64RwVFzhkeTPb8Xpj8Dr6Y9tEcNT6PdNrTtK1W0WK7J9bydxRJtGZx2pOWgplYoKh4L4hveBIvVa315vzv3ur+K+r9wtbdMX81OItA4FHcjHdjcsRnSPpAT2I10h+DTXOarHXVQxG8O/2QrbgXK9ECfXk+IaE7n7z86SeTWGHADkl1NZ5URpL+jkbpwThSAgXF1dGj2+1MNd5LHXb73rzAOSWXijAEFNdWrPvObYs7ji20hR0UT4vRUCCwWZNXFPwXoAZpI7FTtwdupk46wpVbioDZ1WtiovZzO3N4f0eNT2QS+igo4SseXIPUtDnh+Iv6BX3oKhLLtwShDjUdA9yI9SLivVUg+8gkPU1kZgYDsZ1GU413giugD3G7XfeJa6+7gZx6PAxcXRmVlQqVbFx47TYsnGDOPXkE8U5972XGB9zd4AD9yQV26grjCVPOWEvjLsEV+stJ8E0Xek2Xaudu6mFuP7ggnzde2yfNHrd7ref7DBg3G3paBztCsBJudTBfii7NPp8wuuSU1RBQtvxaTwnUwg8YkeFy25Lei2l3Mz62NYX2yziGyKFauM5KRx0WyYUslcjczKYu9nciLnopNZa5aeIbzAvIHeIb4hYzY9k+KAWzIeE642lCM70PKcrnppGYQSiAM05KvxM9s0FnVBZkuiUYBXfEBXKmM7J6D6ZF9KTKsCqw78bq3zi+rsXu99wBqKjdvGWqTCz/dptJvBIFsrQvpEoYb1orGYXvVXkAKEXZsp/b9hFDrR1+K+SU0IjU6eEpPPkljBjeGx4qEunhKEUTglJQpnuX6feJq6MxGCsI0DR308yxaGBzMC6Qc5ECcopYZ1uL+WScM4JG8QvDyzIQhploR8/jTWgQaZpce9xHq85JUCUEO0KPX56xLFTQm0g57YSvbiGnCxpbEnsQc4zJ2zMYNErl5FGfvs0J0eGxKHF7uf7vrkV8cmf7hVnHz8lnnXfHZnvH8iLU4JPxw/VvClEpUYCdjHQuI40UuKlY8u1gRLrqfWGrK6Jav2DWKkNzrj2Gj1zurjqF78S//XVb4kfX36lOHJstuPPDg0Vxb3OPE089QmPEU9/4mPE9FQ2BVlgR7AgrytsxOIbsnZKcNWV3rYg3+0+tAoK7EQJnZ0SPn/Vfvn1u554ptHrdr/9pM5Vw27LeopuS812ChYL8lT8j6P2Q6nFs4oU6TRW5kWieoqxXMuPtnEX6OT4QPcKi+E4ZuuC0sjw2G5YF/zo78Zd6Zp3orrSlVMCzclSBqKExEJ6IZodXjCek+o8362Yor0r3awALDp1pRfXPtMsb2Y7zclU58lIJ/W6+xBsseV7QQe5C6FMsB9ZdygmzUlTxwka81ahjI17h71Qhkhy76B9WamuSqv89c6TJ2wcFXfNluVnaJoR2eiwX3XTCKsEQSH92yU3HhZPvuf2hH3QnCcNIrDkayT8rDo3kQNKcG9VzyS+oZN7h7x+dvk6wfk0+fxEY5nc3a8fR9PblaQ5qbIUuxHK0P7Sz9lYVkvRnlZ0ZBrfEByTuuNTCU9IUGwSBwZNQv7AuoE56hzjXZSgCo4dFlYPzJfFjYeW5CnjEadsFgfmyuKuubIspEGUMNj0QgyJiimEU0KwhjIXFlO3T4546xzvr/iG7M7RmyeG5bn3mBQljIlBphdcV1ojjbqb79+/5ai8373l8FLGewZy5fjhcR7TczGttdH65aCL9cgVXNW7XF0TlXhp0MR6TaeEDOf2+HCx6ZSQZTMg6GFRwlcv/p741AX/LW65/c6WxfuJ8TGxacO02LBhSoyNjojZuQUxO78gZmbnRK22Kq69/ibxi1/dLD7w8U+L//e4R4rff9nzxI7jtnl9LyAgqUlQdXTzOCU47BKMnARlwdBgv+NZ6etZ48YJfjxJ4NFos0vizPg2+fhSFYC1XYIWC/LabstgP5bCrvSsiumduhRNu4BdFtNtinVynxNER01b8gxX+BMOCZlFlErcYRLfoPmeqVNCJ8t/+jyVUCb4vLt+WSfbV//ebQ5HNJ5FNRvQWHZz/9jelR4Wr1x0pRcKmedzKhKvN4JLcNRePKVrjsmxmDSUNHS0H+WMHzKTrfLNHCfUe466dzQMhDa686Qrq3wZ37BKTglD6342o+GcpcWGoeKQO2GmwUk/LoiInieXKqviJ3fMiCedtU17TdC9PRtHGe39ZHg4N+MbGuu4FKRwSki8dhuIjvSRP5EO/1USJXTo7o99z9z9I/lnN4aiBCqyrPeaNGdJUGMl8OgQYWVyDxR8nklCmWC/El0ntPENpkI44BOsGzjoMPdYzO224PjDWwOXhLN3TImtkyOykEaihCNLVbb9BL1JtRecElR+NuIbmjbVG8dKzY5DdzbVg1N8aS3AZHeOJnesO2dWxNFlnEt7wXWFmOoy0oi4e6EsfhW66JGIgdbeslwLBnlySvA7D+g5kkQJgy7WUy4Jm8dLTQEjl6C331AClyyviePhfYtsEKk3MnXXBT0mSrj8yl+Iv/vHfxO/uuk2uRi1ccOUePyjHyYeeP+zxf3udQ9x0ok7tb+3tLQsrrvhFnHN9TeK7/3ochnz8OVvfFt8/ZJLxYue8zTxuy9+jpicGGd/P2D9zrKgwLImSsi2m9qNNXm6Dv+4Vb65BbVIKhJFFlGpuJEl+m5qi8iBuLjDchzV9k26PTt1W0YLwFnV3Drl3puMJRWIaNzac+e73I/YfCo4zUqPiBIyvhdN6lxNdWyb2pLHCkw2udR68VYhJt4SmZBUGFTz1HYsVdGXxnKoC1VDUPSzc6Np/n7Cv9G+LDKoiZMKl8bxDatuxVum7jxJ100VvZT1Q2bynAzeX7fqZRpHGrshzZzsTpTQvn2XkSI0jpvGhruyyleLlKY2iPHjyla81ck1ggrAjXXcXHSCQjNHGf1nrgoCtACzXkwJjTMt2FlHDiQKCk2uve3XzpYO/3pyZ4le0GBxnkx4H5vGS+Ip99wuF2XXmxtU8x+1dUroKMQzeB3R6jpB9+Vq6NSCvuoaav9dzVhaxMMAfrBukA71/NATTgnNrlD9/RkJ3n5xYEF+/ahTN8s/t0wE3WbHloLFXjC4qFtRn12hI6Vg21mLdfPAwYxsqlWRdpA6F9eEY4XMC+B0nh10lKtWr1wTuxHh/Oi2Yy1/J8eLHRsQaTTI9IrjB8R6raKE7VNuj0t1XeRY2xwk9yASIdDL0xIC1YSydNcFPSZKeMUfv1P++fDzHiCe+4wniUc99IFiuLT+7kxMjIvzzrmP/O8VL3yW2Lv/oPjqRd8TF3z5G9JxYWx0VPz+S5/L8A5AJzotPKqF1yy7qYN90BXTzRYfox3AdkUiu+LxernQ0f0gK92skIvIRVe25EUn4+jSKUEW2+pCLDVFCR6cEgzei7rpJFGHi2K6nJPdbTry+/p/o/0g2yP6M3PBke7YNnWckIW+ovXxqetcNS326VDCp6wdZZK70tW/d2+VEC2mq9/odrdlPnjbOJoW0vX7Sbuk1MSZunck2HdIoYojq3w78ZZF7ECH6CXVEWYS7eF0TnY5I3WCI0LWKYvm5+ugu797OjkB0HMOiRKo21wd40moOWvV4d8hdsDk1eod3HWaBWB5/Hd3bBYcOSWoB3N6raFi59gB2d1PogSLc2lclGEbK0KbbotviEVhJDsltH+W6nPsOiano3tHQTz05E1ygXq9IVLxDUlF/477kCRytYhvaBeyrY0jLSwkjqU2vgFOCXkA6wbpiN6X+164VkUxemaIX6+JvbMr8pywdWJY7NwQ2IvT1wTFN4DBphe6m9eKLxC0Uec2cZzDAozqCKX7tv/P3p+Ay5Jc1aFwVJ068zl36Nvdt2epJbWG1oRAA0hMGjCSGCVGC9vCwG+Ef+Dj4QH72Xjg4f+ZBxjb+NmAwYzGBoEQg0AMkpiE0Dy2UEtqqee+9/Ydz1zDqfq/HZE7KyszdsTemVmVUVm5v+/2vX1OVmZU5M6IyFhrrwUkyNWIBFL3wHXqdP2zzbnRJnKRIxQwNybqeZQSrh721Uce29X/3lhe0vuXlw96DSlhwQNJ91UrfjRkvUn1oDKJehP2DQtEKItze4pzIuwpgFoC9Cu8lyy4q9FikRKAjPAP//43q+fc/dRC57nt5rPqu771m9S3fvPXamLC+nrDFKw6zPIuOyma6vjxxuv0wDaz5W2v+Mxh3zABpgvltFvFACL6e4wrYKdq36A3wwkAWHCeYmDbqLh0sctSBJQSpm4pQisMSKpwsR+zZBcuwSMNAOfxSndXAGtZ8qmSEiiwLUdOJtU7Ev7erDZYKoClctp2ANiAaIezIMoQz7ZpX76+hO+EtiisdljsG8SKE0RSQgX1bOyCXONL/pyUPdvFyVskUSaS/O8m5u72FDZwyJyMvheXJ5Oeb+DzYiIcoQ7APYFLKQFyAoDdnSM30z2uos9ZiUdbWMlIPxNV6Qn7B9zMgzVd5ADgtdESV8UTx6IKxkFvqDZXOk4iHPzKVPfn6EdivpmOfYNLKYGw2eG77HjJCz7rHMhH+O1qZymfZLWDdMTvx2h9TxJlhnpjQWKFkWdt3sTso9k3KJGUUPHGNYBiOBdAZejJtckJ5KGrh/rv20+tTUiOQzSkhCbGQGJ11WwoyQzvazZizSLFhd3yARjoX6heBEIC+GevdsoFdxbbP9sAW7jPsMgxtoJph2Hf4AEb33X/VT1v3nndutpe7WiCQmNp1EQ/gDkxSaZadFujC1MiJXCsz+o6J07bUmFMSlicvg0pKiMl/NSPGqWEsmJ9bVV92+teU+o5m8gfrqr0WClhimCbaUQJ9g1F5bQLVFLrcxA7zrB2xkEaGc/TCJect5zckerHYX6VASlwSVVTY1X6IdoOTGlj2q0wwM/JtOc8fl5khTEBAOfwSie+iPZKHwAg0PYqJXz40R197AvvOMW/OLaBBNtaxQlHzI60Axvyakvq2UqSt6amOkECROZJ4V4VQKJC5K0MAFyeVzrkJMpTTle9Y+SwbyiilMBvt60NRl5eqDpBzN1wniMkyoxGyoJBTy8no7+5liDpfCxOKJQ92+7qevNz8N312jekJOklQYHVRlGGfx5oIkWCG5MS+GC6eM5xkI4g4OVRS+65SAmRfYNPmUJ6fcl6EnIqq5QQAf0w3kfVgGQbUj+TW5L4W+pb1yXVuQAkkAZl/yR5NvG4DFEmkZOGlEDnZLq/8qzNm5h9NPsGxQLeHyBgvJyG0pEk4PoAwux0B3pzNUtKONJ/335qPUNKuHY0iN6FGnnVRY0QlBKSlewAwHSiCsZFjMf3pwTArHTU5cO+BgrObKoFs2+Y3vi2Ee0bNuCL2eeFqJpUtBkrJdBra3iHef8j1/S/v/DO0+rhaJ5siHpNYB5XrZSAhZJYxLKIAe/bj8fqQWXPiXybl7rELJQSIAC/gAClhCZmH80bXRMzBLLNxiFssAPbaZogEQRVTS0BaQpVrjokZiVhBdNbLdKLs8ywVd/ms2+YBNMNGSBfJbX+vNCr3Vaxmc5J084pE2WK2jekSDLSvMoCTFKvdBcAjEoJbiltiL9+4Kp6y988nsuj3gW2iZ/tjHqHyl/1KrSPoMAuoygzXoRNjSjjUu8Q5AU8OnBkIduBJACcx/PeQfhBv9cqlBJ8lcc8okz+Nkjk5V05AVXp0H3Tt7mhQEv8/WzGySyhUK4u4LK5gdDjpOecsVJCHql84sGQ2jfAPckCwJNerO6q9Pz3wWc7AAE5CfnpVkoYafJmHqUEV1Ml4yRc2a74lLTpINpnmW/wf0XkL89eFZLRqFzH5m2stHPJ/lJdJVJKiNtKE2VgU4zql7RdUB6bnSaamGvwJRCv1LGH9nHmGX3k2lFGKQFka2HvAL7F1cPF2ZBtIkzJdVh34DoT3zMWMQBEhWcYeuL60qtC/UBtfSv3Z6GUsLh5G9JYklRKgHca6r3iPQ9e1e9bN2+vqief2WjUg5qwKCVUm8eNUoJZ0x70h2ZO3JzSnNg7Fu1L1UI9aMqEGygWgmjIetVEpW+mP/KTP6c+9ZkHqmxCE1MIavMTgGj4HWwMc6oEc18/Oi0Npqv8YLqoAnhy8zNPJTUFdmlSQiTdM12pfPvPNQAsOI8GiTLkDmYbbMCGQGpfn4M4dFyVzgMu0TdRGi6FAQMEjHKRZIrmpLRC0AW2wQZNl/ls33zC2Ozs5qm2JKu5hfYNx+lnezKnPvLoDpljdllyYTU1lZOQ25G/OFximuOkswKYS5QZmoU3Vbnqb0cK9BQQlvTnPZYiR9GmyzTHSRtomG++KaDMQ8nDC7839WwBcIokomntv1I5OWHfMItx0qoOwPssh7wFASC5jwSnFSnarZxKCbTNjZwU0EoRVJAs4SZN2G0HcijKEAPVqbWOOrnW0c+M6/mG7gP/Z+hH6Us8RcyU2qPY7HrQCgPvL/Sn7d7Y7iXmEfv6DJsHH9FBK5W0zIZ2npd2qi8llh54/2j7hpGWPabus+39RGpz00R10ewblAC+BCIzj9646fcAkILXHvJLbXVDAuSEsaOxcGhiUimhHURV6CJLVaNM9emN5Qn1iDJisaWqp5fbqLDagC9jBaGq50WcD3UBAKHq9pFHd/XfL7nzdDQfmvmxUUpoAosEOsEoJTRzIsyJZVf3b0bkJZgnKHXFukVv5koJi7PeCCkqXc3/z998i/r6b/9+9c3/4J+oX/+dP1R7+wdVNqeJkoLaDMRNVC3xzqgSzH39CBCwV1ML7RsKg0RFqi2zm6/Jc2Gl2lTBNlJhQC6Vjx7Qtn6859wu+T1oWXL+9ZW3Kt1strv6EjYd/t93Puj1AZdXpfP7cmiVHh63+4Erh+pjj+0K7BvMJn3eCuJ0O6AfNdjmrQA2f+cB25TDd16SkzD+TObkOKcg59700fPki6FWnMhcX66EQkvlm0UYxwojb7jOinnBieNojJwAcaPKem47JqpeBdW/eAKfpQhU11WilCAcpzJEGYmijKIqgPlhLmVX5pmVogxle2AUNEYFbG7Gzyc812hFYW1H6vnO9WwTP9+INp7WOwz7BgDTOwCm56tKt44vYvuGyfk3OU5i5S2tlGDPSamiDBXf9eI71Hd+wR36OXGtJ+E7rC4v6XNJ1516/VHa3G1/ruB5Qv9g7NPJNtDrwCKKU4oiOhC9jlYRa52lmOxVCulIYHMztm+wryc1kWcJlBJGQqLMYmzuzHs0+wb5A8fpqjet04BjWinhwauH+u9bT61m3ncQhLl0YIDQeYuL+z11/+XDhalwq3t1MwLHeVT/6hLT8s5OArVQFbpwSglTzO1GKcFG1quW4AT7URtRpa7Nag7eW8HKBOIp12/ov5GkBzZIeZTgmqijwkq1edwoJUx3ToQ9IZwbiioIQfHd//OOz6iHojV36LkNe7nTjGZerDYqHbk21tf0i9nHP3mf+nc/8TPqZa/9NvV//rv/pN77wY9V2awmSgi75YD5W0u8Ly8p3zscDJR5PHPGSgmqBNuBAhLvlmtLfamp0FXpSEqY4uYGJZ1cdj/+zj0X1NVosc2WJRdXUxMVekMABaIKf8c58XefuXRQblW6sNoyA2wkgEsgJXzq4j79+Yzs8bh93PB6pTPsG/D3+cA22opDkhNAjqeq++Fej1xgG1GVLrYd8ADAHNWJPH3oVe8Q9CUplc8c7LJEGbk1i2+cNPON+6T3XthTD17JtzB35qTUvmFCUUZSQWwH26TTA6XMg+QtCF9OUmQeX7jaKlFCSZPgzOfH4+RffPayeveD1+h2pMh40kpq13h/et1sIgF5y0tKiKTo8yklUHO30L5hRI+T+ExRYxBlvSRTlLE/WxDwXMNLpM/OCfoRFCeQOCcJW2X9hGKUhBRgVXwyYyhsJME4alOdcM8VxedurlIC3GZYbwBZ7nBwXKp6B/drWNdAiX7Ae019B1tfStfmTVQXzb5BGV7loZAS7NLsD8fWDeuZz8y7UsIvvvcR9fPvfVj91LseVB87t9uQoXIG7h9V759trr/IgCAqSE4DgFlE+4bxON2eekUoXCvvHkLtpMEDmBdd+f7ozlE8ByJ4BiR3KPKDuDKnc2ITZdtzVUzUa+bEeE5MKn2VGVsrNHlJEh98ZEefA/4OOXCOapQS6h2VkhL+9M0/r374n32Pev5zn6n//6jbU2/5kz9X3/H9/1q9+nXfpf77L/+GOv/4pSqb2ESOoDZxYeOwFS2C1z0b8rDxCAPlhyKpKun1aXCFDy5A+6CJaZCIW3Frk4CGT7K9c2NyhX0zGkkJ06pa1W2gyB0Cf2+7V/rkZj68FJBggQXYyGOFQVmKHCMA7AHTsb335wAuKYBobIXBrYamPLrHi1IX6JIBgKNzSYAV6ouMSQmcCuACpATi59KcHGWqLScloJ2y5JZukPpSU4QfuJ/wvEBeakUZR18C+PvDf3JfLulQl3qHBvmY5ynfUqScfsR2HDGVeX7zo+fVz73n4VybxDQAXNS+QaKUUFy9g567I5n54VCD5K6cBLDgR/ISCgllHilZBdoHKjhUTsLc6apssxFlpIRCCgA+vd6Jx0mOfQPMS7k2vClLEcEaJDqNxcpicnx0krcKWi9hm52/9+Q5NA/aDS+0eQgervFFAqZTFfrQj7AhSpGQaFsTyXrSf5zPEgLtG4BQk0cpQeckcV2Zso4iSXDwzMB8RCsl2O9DU7k8H9HsG8y/TDXG1opdmv2hqxEp4eQaSUqYRwAG1hxQ0Qpxbren3vjhc+r/fecD6txuPlvARY5QrEiaqtBkVaixZZzGGFEUfJmXwH3HaYPkYI2Dj85hnrVcjSKUsSQJNtqUQR65ZuaJWyP707oQ9aD/oe2NWlmxwPfxyol6jXqQehznxM0pkRJiW6P8ZD1454V1KMSDV8yae9GJY41SQrVhsrqiWFtdVV/9ypfqPw89ek791u+/Tf3eH/2ZOnfhonr40fPqv/yP/6X+68//b/XiF36Oes2rX66+9MUvVJ2OmbBDjHvuvU+9630fUh/7m0+pj37i0+pCRKj46J/9llq08A0bfgDY/P2ZiwfqJU88Lbq2C8yX2DfgQjUJbiSr0gEIBMDrxFqHDbZBwGk546qPXDGWJVfeCuCd7rF6we0n/Re1tKEMqXwX2AZ/w0YyBbxQQPxACFzaAkEAmPBOrrul8rF5ubyGnBLzEgloGtjARSkFpNuqDKVKCS4gG0n9HMuBGPzPQaih1TtkwGFWljxbAdwbSIANqRKK/YsgkA6/0gCw4+YgqePTlw7U3We3lDTKUO9IP9vpvnzPg1f1fabG8azNTUurWJRRyYzj5Im1ZS8Yedf1G+pj5/Y00QMX/Ow2kABwa3bKPGWodzhAQyRvnVpzg+kIfLz/4R31xU+6TknDSd6SEDSsz+f4+XYRotJzjtx6if4i4DE4VkpQPPuGPOOkoypdPE46SHBe8laaUOhRNbCfw71g8uW5BtPbZrNEKrPsU5Th5iRcNWu9ZJ5vfO4pEhJ1LyWqE65xkktaQfsGsB6BOQr/v+i9lDxf2jopdQ5QRRkrJZjNZWqMMmRE29jC/hpNVBjNvsH8y1RnqkITAAyQGRFcue2UhZSwPr8ADG4gw8YqrIff/cBVdXG/r/743ovq7z7/1qqbN1cxi2pymX/2Yk4gMG9PU6q6TKWE9z98TROevvLuG4MAoG2RXOtPM7dhDQUADJA9YE+L2sdchAiJlLAZg43HpFLCLSmyHpASHtnpqktzOCdC/MknL6p3PXBVf4/PvfWEet6tJ8R7ME0kLY0qtm+I5sRFVQ+amBO3yyfqlWVrtNs9VgcRnvH4fk/vfaK9aEiBFpezWO+hfU4unKeJwhHMqH/7LTep7/2Ob1Hf8+2vU+9634fVm97yJ+pP3/le1ev31V+++4P6z6kTW+qrvvyl6mtf9TL1lDvvUKHFT//Sr6t3/OV71KKHa0Mel9urnipBBOLybMY7gQ3BJjJuFGerBM2/P3puV3320oH6+ufeLKpKN3LenMWvuRClOoGy5L6q9L/47BX9IgYLPemim5JONnK7xcA2XK/4JaAJIF4KXFp+jiAA/PF5fI+r+8sDiOT2DZQvNVMpIQW2QW6LwD5HVTpWNHBkycf2DTmr0m0AcA7gcBJsGwNCPrBNXy/1//B5BGS5YetLXHPBxiWALQMOeSsHKcF1LyU5kVZBSefk1UO312G6mlo6tpj20oSf7uBYrXXW1GG/Pz2ijEspQXCetBWGyDPeMsZoZZ8SlBIgJ5Ggo59vV1V6dKt3c2wiem1uCpwnOWdAP7dbNOFIXy/9WVFa0OM92jcAQO67N1D9DXN8Ppub4tX9eJ6MogyO30jeopQSiJyUKqH4wjdmwDMEY5S2HRC+bLrOK1Hesudk9MIdPffU+ajnQgLmu8b7bJvc9g16bgLyXH8o2sSgmiohBdD2DQmlhDaoixzz1TsapYS5jGbfIKe8bwDgy6RSwiCjknDD5kpctWRVSjjsG0WkQL4LJ3BNdGK1o176lDPqqTdsqp/564e0XYWU4LXoEQqQiACMlOxYl9g5GujvDrfhzBSqQuMxoqBSAqwb/ujei5pM+YwbN9XTbpST+GeZ19Cf085tKA4zpITFzF2MQfR+VbXs/aRSQvb9+ZHI1ujWNCkheu4uHxggdN4C53wgGv7Jpy6pt3/6kibtveKp11fdtLmKuJo8EKUEqqir7gFjKhaWXb9p1quzVFThRlqhC9ahsCYNLZI4wfSVEkzuLvqcqBadlIABYNOLX/A5+s/O7r76vT/+M/XmP3ib+sSnPquuXNtVv/zG39V/nvX0p6jXfsUr1Kte9oVqYyPrO1hFPPeZT1NPfdIT1LOefpdu35d/83eqXm8+mYtFgqquTwYstl0b8rjpLQX5fB7EpgqMdx64tqsCGJQSqM14qtoSQlL5SoUG246NLLmrDRC3n1rTiz6QE7o5JfuVtw3SyjKz4UJUrcYAMF3ZVlwqn/J8H4NNq54K/0KWA46m6pxU+asEk30JfSixbxh/nnV5017i2UKmPciSw+lcG4ZYfZuHSavvZQn2DelNQKOCoviy5KmOkFYg00BTK5YFhf5zETxwDM2zIWYDZ/L4zsMzkyavThA8vFXpacUKqee8y1LESLfDQvPivgcALvR82xE/qX1DOieXEn0BefBf/vIB9d1f+ATrc2XLJ6mijQHTW4R6x7GeDwHwmx55y5OTI0E/OmwDICdbDmUec718Fjs+ABiY3m/4gtvVZlQB5gIjYqWE3OQtVZi8lVGUSYyTY0Kha5xMX59vSRJ/xvd7z9irwfSOqQwTkxKcRBmJkgmtcpQkwFqVEoixWm0if0IAAQAASURBVKoO5FOcwGOo9Qiu40yVnSF4iEgJhD2LIcqUswaCv2HjYtijSUdF10BNhBXNvoG0kq568AXiZGRlBGDEQ1cP1e2n1sfWDRaVBIjttU6shHLtaBCTFOYhoDINYjuqAr1pe1UDCLCBfWm/PzX/4TrGuHKuYlLC0mJXhWJF6PWbK1MB0cdKCcfR3J3vGjBWwHOGMvihkhLGMtXTr3Y2pK/+QleFGqVWFYyCUDLf0+QfmD8g+29OVV+fmXP7BiTrARHhgSuHGhz9q/uvqC958nWVK+HMpT1X1XNirB60mHMiqg/AO/K0xpQy7BvSpIQHrx4GSkoY59G0iXpj+4bFnROrjOBICck4sb2pXvfaV+s/9953v/qtt/yJ+v0/+Qt1dWdXfewTn9Z//p//8j/Uu9/6v1QI8e2ve23VTQgiXBvyWj73eKhBLI59Q97NeCokYBuMg2nwZ6Iq3Qe2WXypJaSIGByx/A6aBaQI8Kc+HLgnJeR15AHb9PWpTWQhcEgBwGOpfEopwb4JLbV+t4Ntk5sLTqJMwZwswysdNu7TS5xk5Sowvr0AsO36zKfCtLPlISWYFrpJCea4PH1p2mz7WR5ZcLsvdUyUcVqKqELVlhQAi3YxBgD2KSUUANJLsm+wbRRNSuWDpQifKDMmb/Eqx9yWIuY3HEWZIuodEHaijAyAhSZQ5C3Y9Lx82NeEmaX2EjMn+UoL+hzEoXAfgPwGL1l+9Y5i5C03oVBQFW4BgMcKTFpMn/ysvl6KKFOm5cDNJ9biDQQXqQbam5uUQADZcpsZOid542R2bPDZ+2TO4RkGgIAycM7dhjgF+Ysb06LrU9cV2g50LOMkdJ0e6yKlBFvX0FY/MiUVTrjyQ/dj9B1AMeXqYV9UHUn1pYTQZ1ffSJK3zNxJdYud5ConyjQRZjT7BuF7DidVg55987b66GO76k0fOa/e8OI71MMRKcFm3YDPOnwO5GahMnS+SAnmXX07Ap5gLQWFAg9ePdJVsA0pgR+4JqoaSFx0/+ydKKdPRQpg05KphrUwrN1s6ilSAAYrzkMMfFeexRg9rgpdXAAm+S5StepKUhkEqq1t1g1gkYKgL8Z1c0xKgPcnJGC88I6T6sueekb96J9+Vn9/eGaBqNjEnCkloH3Dgs6JoCCIiuDTCpwX0+OEJM7tdGNSE1i/PHTlKHCinrG4nGYgfrHIc2KVMTcUtKc9+Ynqn33vd6i3venn1Hd96zfF1V5H3fmUK6pzUNVQyYGUWwFc5ma8tErQVpGdqUp3gm3uz/uvj21u0fYNHsuBolYYFHAqlVjPVFsm+zECNGQS0LJNZApLxwkOiKVavWPIAC1zqXe4fam534QiaCSl5yUAcPrzRQCikxEpAZjN0J9Oe5bhSCtT5AYuLT/P4/tOWbP4K4CzY5xUPUR/xvJFsPLHkLfc4+SYcJTn2aY/IwGANZCe+lmWvOX4DhZLETxvUSAbn29QlPFK5Ue/zqfe4fBKF51nkuBhyFsjZk5a1DsEJLj4MwT4ic+2GSddz/Z0clLSlzZSQHKcMzY3HqWElMqRdL7xvTvh+V3nhd8Z8lYe0hFhvaSE5KnUemry2R7qsV4yTuZRQvEpb/lsuZDgBBvaWMUguz5xXU06yn8/YHzXlVpA4GuZF26rUkIJ9jCucXLynDSgb0hT5iTPumlb/c49F5hXd7dBQvoxBFflVEqAMYrKB5Lkyv0STcxNNPsGYds3QHzFM27Q7w5AuHzL31xQj+y4lRLmGYRBUkLSLxvJFw8FDJSGGIh3VK6U0AAwE5v5ZQe8c+C509Xjkji/25sgJUjWwLMMfM9DBY7ZVIUuJniYnBNDmRfHSgmTxWZIpLklZd2QnA9BTSFv8VlVAbmHezPw3WFtjvYUoJjQRB71oGqhvZUFJ+rh957WnDiplFDcvuEFd5yMxxgfnlRFjMnUs5sTAY+SFM80sWCkhP2DQ/XG3/kj9a3f8y/UT/3ir4s32psII1CyGDZgndWWw+lUAEPC8yWgJ6v7s1XpPllySrqYd313BbA5v/b3Hk5XltxeASwDu6y+1BmwbeiQ601dP4fcLgVkm/MZj+TpqXfQ99KA2VwA2ALyJIFLX04Sfsp8ogz9PVDG+VhXcnvsWSKwzWc9Ym2Dsj/gUlKAkXinCUcugNoGEiXvQyFrlOi7wcuaLycnK79l4QPziwPA3JzMEpbw5+zrE7/DDUtQSvAtMIvbDhS3b8hWpcN8oyba5QSAUz/Tn5fYDlDjZNSoFfCS96ocFZlvylGUSdsFWS1FKLug6Ji0ypEMSPcfPM5z+hxj+4ZyyVvScZImFIJ6xhJN8LC0QWofwSE/+kBtXMsZ+4YcSglEUhowmzt3EuvJUdS+Nj1euMB8vlKC3wbDR0iD5x7z9sVPPK0lkeVWHATJVUCCaxH9COeAORHkS6kcp9Simv2H+kWzb0DZN4Sz9QNj8muffVY/kx9+dFfPKfBuAHLw9SMlRPYNEYEb4rYIgHkkUohoQpjLlVeFthbavuFoJgAM+meXI1V9OBgGO3Ykq0JnppQwWNyqUBxHYBihlD2rUEpIe8WD5QjErSezFrwby0v6PRG+yZXDMPPaR9RLSt03c2JR9aCKiXrR2LXocyIqRkwjsMD3IKdSQi8xB0KBARRuwZ7YY5F6wqLOiYCp4VWOGrWEmUfQ9g0Q7/nAR9Vv/f7b1Nv+8t2q2+3FG1enT51QX/3lX6pe8+pXqLrF177+e60/f/CRx9RtN59Vu7u7KtQ4ODhQ/f5A9Zd61nautc39O+731FF3QH4XYHzipCb9vihnY/vccDhU+wcHanfFP5DvHQzUaDR5/eHxQB0cHqnd3ZY6OOqqbv+YbN/x8VAdwrWWxi9SMNjB8UOGDy+y7Wzn7/cM63tpdKyrFV191O2ZiWd3/0Dt7so2kHv9vup2W5nzHx11VX9A379MewcDdXR0qPDww6OB3uCGz1/bNe3b0/2aPd/R0ZEapK7V63ZVr9dnXR9zEj5DHQ8vJseDvjoY0ufc3evrxV5vQN9zKvYP+plcwhgNh7qNu8v+nNw/6KrRcPL6wwHmZFsd9ft6sUHmpL7WvtptJRVm4D7sq3bfn5P7h/BMmPtmC8jv5WEvyvM9pXr2c/a1Pz2cz37PXQG5cHR4mMllyMnBMT8nB8fH6lCfx/T74UFf21/A53f3zAbh3gGVk12dU8nf9XVO8q4P9xva2j0y940KGG/2D+n7ubdv7uMR87rJ2N/vq1H0DKYDcnVvb1+tDv0L1P39rhqmclJ/Hsab5WN12OtrOTOqfUDyOtjfV7vRtXCO39ndZVWL6O9B5ORay9zb1nFPkyNcfdTrm3F6Z+9A7a4N5Tl5lM3J7lFXj6F5cxLyoxeNfdcOTPvAvmr5OCuV2u1CTk72M4xph4fu7z2Rk4NjPd7C/JaMw2gzHbY9RsfHau9gPJanY2/f3Mej1PPBiYODrhoSc76+x3t7qnPsX7bCeHicmjNgnN2PchLmbXhvt86t0QvQ3u5uDH7iz3Z2dlietuZ78OaJ3T17niPxo33cV3tH9vWUK4Y4r7QnN6m63SPR3A3NONjfU4Oojclx8qjXU7CUOeza2we53+tN5l+/11XdHm9dB+2H8eHwENZR9Gab75zdXk/1e0q1h0O1cyRbU5r1h/0ZhnFO51RijUcFtGFp1M4+n0cjtTRs6+cK2Ad7+/tqQ00qwO3v9+xjNRy/t6/WR37FONs6yhZAR4PnrD3o2OebxDoG1kMXLl+LN0h8AQSG/f09ddydzPejQ8hJ3vOydzjQ3zt5LG4sw5wBz80x3G9i3IV524xx45/1ukei9eQ8xPb2tlrUWMR9A9/ewS1nb9DrbYiRYJ08izizrNQLbt1U73lkX///TVsdtb+3Rx6/0Tbrsws7h0F9D19cjdZGy4n3zFOd4xg0vXx1p/LK/3kJHPO7sDZgvKdMK0YDsy7Zz7FGq0PsHpgxpTWc3piyFi0vLl7bU9cz9kls8di1Q/03PF6wnP/0+atq5YbwpOFhHwzftaadT+1h9M67L9+HqUtchfVkVCgXRB9EQBiAjdd2dmJb0Eei/D3Vsb+/nFptq/ODoXrk0o5aH9EqQ1WEa8184aoZuzc643ej61bM/P7Q1fma36sO2CuC6Hfhea6OENCPMBgoOuPumcxbuHL62p753ZKS41fsiPYrgaiX5xqP7vY0iWkTiGm9Q3Xz9rL6zJWunhdPLm2qkOJqRChcak1/TkSi6dFgpC5e3VWjjeBh8lJzuup9gyB7+9yFi3pD4Xf+8B3q0XOP65/BpLzUbqsXv+h56rWvfoX6khe/QHWm6NfSRP5wwd5PuW5N3X+1N+HvTPrvtg0YYPMs9wVZlS6Su7V5pY8r06D9Tql8S22a6PouxYfoF6tLoDhhb2sZFcDY5szPhOfQ1ZbKp5TgkNstUMnNldM2FcCuc4x0f4OsftmWInyp+pHz85ALPr/3rMQ79OWolH78Ry++KdMmqh0bS/7qdUkb8qh3pH3j00oJVPuMFHf22RbLkhN9uRYtipa8/ahyW7O4RiKfHHr6LHY5bfNvAInc42S2Kl1yL13HnYwqbOC55dg3wHG5VCccSiySnNRVwBOfz46TdE7alXkkNjvUs4UVNfArjgoKfO/cihPknFd07k6Ok7TFFPbXpLWL+Rs+z8EMOPONT90Ff76x3NZjQXnjpEwZBz9jHSePR9q/kqxKt/xcar3ECd94BVM23EOo5rsYkXu44argl6jzpJ/t5OdRyYFSsSDvpWjtwFRKcKyt0AYDY3Olrfb7QzYpwaUOVGQNgs8n3Gfz7uBSSqAsrMrNySZmG82+gT9QTTdE3Pslt2+p+6921YX9gbr9BK2SAHF63Yw3V4/mq8IXq19h3MTYXmmrrZW22usN1fn9vrrN892bMO8UOFqHUxW6mPMH7odMtSpUSyr31X4vH9AGxU1XorHirjNr6hMXj9Rju311d4CkhFnakuB7XZ73i7pEKIoryXui9z8itUxYW1/rHsf7QTcQINmptY46vz+YuzkRn2mYAzFu2jJFF/BdDvpD/Q7chCSXq+2tZJEF7P3hHLl4c+L0vjc+E2gzIB2/YJ0NccOmGU9ujUgJj+z21OepzTDnxBmN0bBPdAQFWgtqP1JlBENKgKqWP/6zv1Zv/oO3qfd88KN68wo3A2+75ax6zaterr7mVS9TN15/nap7vPkX/7OzCqJqJosvOp2BWltbtbbz87e31ec/+Ub1/oevqfbhkPwuh62uWuss6Zf4ja1t2YDbHah265L13J2lq2ptbV1tb/sH3b1RV3XaOxPnWVnZVyura+Zn7X11POyS36HdvqS2NjfU9vaYtbrUvqA2NjbV9nq20jUdS71j1VKPW8+/sQ4Typ46sQkvVftqc2ublB5rL5mKk6UV+z1xtqGzr9bWou+bvH63rVrtQ/b5lpZ21OYG9PuW/v/R8kCNlLlHK11THdNaWraeb/XqsVo+HE38bv3qUC0dDAXX76tVvG+p2Fp53OTZ2pr2m6bOudo/VOsru2p/f6g2t7YyUsyu2B91VTuVS3lycu2wpZY7kzm3unKgVlbNvR2qy7oKYGNzy5oPrfZFtbW5qba3xhtfS+3HTU465FIxjlo91W5f9fa7PidcJ5JZzTbkstpaN9eT5mS7fU1trI9zCWOztyTKyVb7cvR8mo2JXrunVOuK/vzyDsw911SrY8/JlZW+Wh0NJnPyyrHqdI8EOdlV6/q+Z4/fXLmkjgZ9tb62qgETMid7B3rBfzxqifvx6vGh6iztWT+31L5k7t92VirQlpOdpcnvvdy5Fo0bW2rUuqoBH7p9j6vtra2JMbHdOq9zGC1BXLE7OlJLxLN1s4Icu6quO7GlhqOr7ue2fUWtryyppeXVXDm5bsnJ9Z2h6uzxx6kWPBe6382csdltq3aU05cHplJieRWus2HNyUFrcvxaXTlUyysdWU7q72E7/ryC/Y61lWXVccwlqwcttdbZUTB7SftxvdtWnSX7M9xuXzTjVGLsomL12lCtLA8zObka5eRQPa53fWzXgZeRlrow8TsDWJ7X+cPxa1w/gu/hHwsgzzeJPDftUOr6U1uq+4D9OXVFq3VRbVqe4Y2Dllpa6rHOh98b+gy/d3KcbC3tqPWVtlrq2HNseTm7flhbG6hOX5Abrf3MOioda6sDdXBMf6elzp7aXF/XG73vfvRALa9v6PUlJ1YvH6uVrj1XOktXoucl+zxmjl0+VOtrk/PJ2qp5PldWO2p15Vgt9UZqfT37XdcHh2qpnc2BztIltb7h7hvXOoqau9eJ9cDqUVstd8bP54m1q2q4BGMBdxPjnM6ldN/DOMedu+HdYCm1BjHviufV+qZpx9bmumpftudDeym7ftjYHamlDr32s0Xo72GLEM2+AX/vAJRz2h2z5bOxLl/jzCJe/4INdc+5PfW8W0+oFcfO+q1LMN5d0WCN9F2syjjoX9B/nz19YmJ8vf3UnvqbC/vqcq+tnhHgfQktYG2EcfrkdqUe2icPIfeuqWPVDvKZmnYMW6Zy8eQm9d5QPE5tHip16Uj1W/x3mWQ8HFmjbK0sqWfdckp94uI5deFQNt/PKtodqLI91O9Z027fKa3st6v6Od7V6hI7Q8iNS3q+CaUPttcuabXgB/aVetGZbXX/nnnGbjqxqk6dPGH9zNmTXXXvpSO1fxzO90iHrV2Di0Zp5tTmeE0C/z2zcUVdOuirneOOOntdWCBpqHE8MkW8J7e3WHt30wpjJXpeE2uW1zYn7KrqFracHi2Zyv6tKa6zt3SBwAVT0LCyzsKUknH1IbOfeNtp2CPaVk8521F/8eCeemxvoLa2toJSt+gYiEitCfYyi8TmyhVNiGrpveDJPd0mphuVjxT3fOLT6rf+4G3qrW//S7UbSZ7AgLa2uqJe8cVfoF7z6perFzzvWVU3swlBcAqOgGTgrOgeAlO4rdqtY+1X3GkvledLzT5PtppywivdVwFsaQd637Ku76i2PBlN8sh0hsoBipQA1wOGWS6lBItPOcfDOXsa2pca84Dyn7L3o6wqHXqT6ksAhICUwPFKRwYoSMGvCFiQPtULfk7afKkTfXk87lNbPlhz2lFVyPFjlvpSQ6BX+l4kCy8N24LJd02fekXy2cTnmvRKj6+oJj8vSEpXTnz9c29SVw766vyesR2gAu47ADy5PefJcVKgVGBVShj3pRknh6KcklSuur7HyXUzTuJzm670TQbcO2DI5q14suekrCrcKHCM/z+pKASS+RDUnGNeBLNtEo/THmskrZTgGSdXp5CTcAe51dRW3/l2QikBFJgEbcCcKaJoYwtXnsMjA9cFv9DDHN52LvUObk7i900+MxPPNiglLBl5UW4boA5IWpVOqQzFv/esByBf4Xtft7GiN/s+8PCOevETTwvGaUrlqKWGhdaTpi+wfdS9odogWYe5ni3umAFtS64rtlY7Ip9nkw/Fv0d6voE2w8+SVW/U+Wz9IFVZaqLaaPYN8gU+H8uRd3NoAePJi55wynscvP+2ou8Da5Lt1cq3slh2jFhBl27vrSfXNCnh4WsGPG3CHcl3oqornPHdYmH9s/vme8O707Ric6VTyD8brFEgzm6v6mdN/2ynp61P0cc+lMD3u1lUF69rBYrxPVzECE0pAeIlTzyt/uATj6s/vveietJ1G+qRaF649QRNPoZ3Gwj0iZ+X2I32ALeiZxzjtlNrmpQAc+JdNzSkBMm8WHUuw/sYkHxgzbOI82J3BnMi9DGoqMDzs98/VieFpIRzO2ZOvCkir9x6clUrscD5wNLmNFVQWEEgdjUr8inOi6BU08Rso9I3udf+/e9T993/kP43bmre/dQnq9d+xcvVq1/xxbo6qon5C2ozXLIJCEAMjD+weQIDkmS89cntcgEDA7ZlgccYJBoO9YKWArpskv1GrpcNQZObyKejDoFB2njk+UAi6MdhuVL5Allwqyz5cHLCIQFgwr5BBvbROXliraMu7PW0p5wPbIMNeU3wGA7ViobJuNenwT4DAI8KAxsQCP5CX9rkFK19KcpJrgS0W2od8hXaB8C7NKi+1ICO8DzJtfskuQP7kQKAbVL5suvrzxA/v+XEmv5z8b7L6sgB6CO54/AwH2hJtUAyTloB4BTpyAX0m77MjrOjEkBLrMiFam44Am4r9Z4A3wMA4HzjpD0nJXY9tKUInyhTVJbcN3cj2ck1TsLv4GXsStk5KbS5aTvHSbCFoj9PjS8S0hMPAKbzQ68r2uYFCTYNXYQaCQgtAWBj+4b0OBndCHis15ba5Lhne7bzPBO+Scc3Xpi+bKmbT6yqL3nydWq3OyiFqCPJCRdJFdcWFGnVdS8lNjtsQiHRm2gzgQGVh7ipyLcCsVxTSJSxjfewfoP5uhX9mzpfGevJJqqLZt+gXgBMnoCxEtYYh4OhnhsrLApkx1405wDYmH43u/2UAZsaUgIvcC0M3Vh1RR+SEgCAWcRAieNp2jegkhgQkIqQEgCAOb3e0e95oIoJxAQAP0OKWQIwWNSUh/Rcl8C9npDmxBfecVJ98vF9dd+lA/WbHz2n17MQSKixxXURiHjpoKfmKXBe3I6sNjGAgPHhR3ebOVEQuP9bpXIQxupSREpYwHlxPCdO12Ie5jFNShAW98G77oW9SVIC5MzNJ9b08/bg1cOgSAlIbJmVfUMzLy4oKeHTn31Q/33yxJb6ild8sXrNV7xCPe3JT6yySU2UFL73RN8mIG7AQxWeFCRyV6XzN8ShDa4KfWQlwkuEzTsoXfWapyqe6sZTUQUwDNJLPtWJmJQg33Sl2iCppB4DwK1U1eqY3OGsAFbFgQ38jC1e86yzml0ML65ucofZ7IbJW9qXvqp0ti+1rfI0VbnqBNMtRBtJNTUHIBq3ydGXGrhcylWV7vSlFiSlAdPtihEafNUgx1BQ3S+tSvcf4wOVtVLCclv192lylOv65ah3UEQZFeeiawwnCR7Mh8LXj//2y+/i+c5r1YkC42RBADgG/SbUO8b9gM829czYSHASZZ64zURSbEWKMl6Vo4gok68fXeQt/vNNA4/mGth+m8KQDUhPfp51fTZ5y1WVbuYbADGgiQC+cOxMJttgUe/QzzYfAIaYnLvH/QDPE+QDTSi0j5NiRRnPMb5nOwmmQx4/dLVfynpSKyVw524YnzPPp/k5jD3QPorkQBPxBDnJPM6lQmXaOf5/sLvhbmjjKW19KVJKIMi6cA7IQ+xH6jvYycaNUsK8RLNvkD9wTu7UwOMX1r2alJCQ8g85kAhnU3WAzWC4I6DiA3+AKN9E+BWhSTB+EcEXiG70/MHzOK2ANRsEEAnyxPmYlLCi12xQFfqpiwcagAmOlBCr2cxOKWGRK0Jjol5AcyKsT7/2WWfVf/2rB9RjUUUzxC0nV72khGuHgyAVQKhAUnN6XsTnElQizB5TOPcnxIC9DHznCWZe7I4B+kUKJChOUykBYhOIPHvyeRHwDthHhDnmzObyBDkW5sSHrh6p595it4mpVD1oyv2JsdbMi5VFpW8+n/95z1Gv/YpXqJd/0YvU8nI4rJwmioXZiPbL7bor2xIAsBBVoTbjzXVlm7iuDfVk5SpZlV6gctX1PUC2Byc/f+VqBBI5Kq6dbbDJkgvBLlsFMHwc+kKTOpZANl0IbIgBYAJsW+3oPyCVz5GABqJMHkkq6l4CUCEB26z2DQhcDs1Cg7rXpCWJKp6TEtIKNHdzBZi0OWXJraCEzNIj/aKTfDbh2d5YoaX8iz7b+hwOAHh8TnduQE7Cs5PHUkQrsRC/kVauZqvSJ0lHcAxlMUPaN6hiIFU6IG+dOTmMCB55FWUsP5cruowKKCVk+0GiwqLP4Tj0//P5t+v55qOP7TrJW5rcsdzWf7tshahwEQr55K3sJgbmJG5CtQibG5fqhcxSxP+9XSo1CADDeWDzEMBfCSkBkrLoOOmzVoFnBjZAqAI221gtVrSxzFnp8IHKOg+jc8DmF1bnFCVFiJQSrH1hCD4wXUP7zLpqJCSH8p9vTk66yD/D1PMCa/Qj5s3EUxZWfLCsgSDQvgGmQ9e4a8snqt+bCC+afYP8URelhHEV2mBupMcp8AUC3s/Pbq+oc7s9vSl891rjY+sKfL8NIY/xnQusORYRPJupUkIOu0e4J7C3g/YNWHEOpASUxQ/SYmeGSglwD6VFDXWJMQkkLBAfiGlf/cyz6tc+9Jj+fyCnX79pLBoo4g4cA3tWIL/uOjakwHcx2INNBjyr8H4BhBkAUc/MyfepKpKFIrBHXXUgSW0RFYRmRkqIwHMoFspD0rtxe2VizL/j1Jp61wNKPXjlUIUU/cGslRKQrDcfhOc6RaWz8M/8+L9Rr3zZF+YiJOzs7qt3vPM96jMPPDyVtjVRMDxjh686OwkAi5USvF7pErBt8kRGFnZyEeCs8E/bN0gr2xwVeriQgzb5lBLyVwDTUvnyqvQkAGz+DaeAtsPLkau6f9qy5OOqZnc/QpWoycmSlRIKqXeMK4AhF6F60Wk7UNSXmnGcIVrQvwfAbXOlk4uhTwF+PtDZB6YnLUUA4Aclh4Hg2c5DlOFVALu/Q9JSRBKu60sq/G0kNFNNPVnh77RnaZVbFU+r5LjBdNhYy0M4InNSqiiTUe+wKMpIiDJKmJMOUsCp9WW9UeCbu+F6sKEGpxHnpGOcljzfBrhU1ufTqKDQ5DJqrNZjGu/y7OOcSgl6DRTNk0qpt957kXlWH7mijH40J4BUhAojl1S+7fNS/NdLctV57pm74zWTUfzghotgIrMUoW1uNAFF2zfQ5yPVO0pQIcm2ibcmhn1zCcnWhP17jAqsgfQ5tGKHuc+uHLeNMVJCYxPVRbNvkD9wDTGrzb1pBm74zsum91gpwU4sRGnuh6+GB5SGFiEpJaBFHMwf0gKaeQ9YU4wBmOlJVWMRDnhnSwMAWl280xqDurdFz1qIpISxfcP0czt5z+aF3FXnsSQdd5/dUs+79UScsy7SCKx5US0BQPx5CWpe7ER2e6E+p6FFcn9NWggyzfXZvChZzRtRD2JzxRB5DoSkhMcSdkbJuO3Uuv4b7Kxdha6VEcdmZEvS2DdUF3OrEbe5sab+6b/9cfWUO+9Q/+unf1SFEH/+rvepn/6lN8b/3++byfZbvusH4p9959/7BvXFX/B8VefgAMAcWXINALdoEMbVglLANpv9QhIkygG2iX2pGbLksADx9WV+r3Sqsk0KwIJ08ThwzQSb8XB/QZaH3ES2+lLLpfKLVlvihnwu+wbHlruUFJBRSmibfkQAfd1BQLFV50sqgBW3Kt2jvgCAG2w05GEi0lLWeYgqk0SZsVLCUFfAUM8qZTkgebY5fcnySo/JW9KcpME2sVS9BXjE4SZJ3lpjEzxkIBE7Jz3PN7xI5arGIe6SAQ0l5K2UzU3KBsOtlJBlmRpFIplSAmfudpLgEqA/tFmiROwCgEUqQ1by1VgpAaQtO8QzY8tH8TjJqO5Ptomcb6KJEl46wWNUojxBNdWlzmBrQxZIz9o3uKTys8RM+TjtC58tV7IvgciJG2Gs6zvaKlE5wrF64vNR35lnBkgJlFICZVkgsLnhjpMO8o9NyYW/eWGOoxUfio1RZlwyymGu54pcT4oNwZqYt1j0fYMYgAnAc7isSjywcJiH2CUqQjEAdHr/wzuNh7ZgkzoEIBHttaBJAH6v1ODZ4gasn3H6n2ZVaFIZVCpND7acEDdsrcRrZyQAXTro67W1SIFsVlLVM8gj6A/t/X48lCux1W0sCaC63BavfsYNOnfvun7Deyyo8IDazn6P/35TZcDzjGqktnkRnlNQDnr4Wlc955YKGjinKlghKJ4gIL+IZKdZWBpNKAgJSQnnduykBCjY0BhZpBJArVVnHbjnOStSAuBli25rVFWEkXFR/OC//0nWcbCp9MDDj6pur6/uC0gp4fLVHfWRj38y8/Pkz+CYugcHAPaRA9C+weXrnuf6EjltO6kgqZQwnNjo4YCnsso6XmWbry/RviHvAEsqJUjArhQAqqvZoo16WEzBCxi5ieyRkOaGH2zzkzs02Obw0M5VlS6y9LBbWQCIDv0I/WJAIkE1tbja03+cD2QwSglL+oXEgISCRTQpZc2vtrQBPQhs6Zw8xpwUEJYSHuys6zOO8al3aEUZrd4hr/B3gVRFFWXw+RzFz3fLeK6uci1FBOO0abH3OB/5R9s3dCAnxx6O7CCei1xKCaQNxpjcQX7WASBzwyc/y3m285O3XOOktJo62xfwvMCzDRtQFEGQVEoQ+d7z1DtcNlbQj7hP9s9f/mT1o3/6Ge0daJN/llovSVRQbNYsOE5Cf8IGMU0ozP4iX076fu9X5sG+BJlTWAtJNrfLUDmyq0agUkK0JiLygconyTMhy0maKJM8h7YOE6yn8fy2a0rGe7t9AyoluHPMbgfWKCXMazT7Botq34BKCcfzZd9AsDTRQ/vRnaNctleLFIPoXSeEPIY5GPdXAIBJ7fMvREUoEuOnFUB4wDkaAJiTa22xVDXYoyTBHKgqh4pyeN6ecv2mWkSlBKwKNaSExQRgcB83hLHEFrAP9ZInnmYdi8SgebmXaN0A+0O2qvLbTq6qdzdKCaJxI5Q8XouAXZwjFilmp5SQj5RwfrdnJSXAezOMIUD0hTFkK5C1TK+CORGisW9YcFLCb7/1HU7Z5uQGKx7zgs95pgolvvZVL9N/Fj2oSsNsBbAHbGuZTc88wEYeECAdNo+1Cd/5Y+Pn7gKJCgMbLADYJ6dtZMl3BNWBZcuSm4pLW5WfeSmARelB3wG2pX4mlspnVKX7csPkZEsvtqQLLV9VOrcvyX6MZMlhQeoaQ+1EGYFUPq+ZDIKHedmC+34kZGRSz0UeS5G0fYM+/8iAWACqQtusbbAA8ZJ+TH6msH1DK6+lyKi0cZIib0E/jiKPLmqctOW0uHKWTZRxzDmgKLOylEsOmJrz5OPUZF5NqHccm2eXIp+YMY6er3jXHxUnd6ClSC7rJZq9JXm+TT9mP28kdgGMNr+03RuXZZEEOC06dyfXHzB/b610tIoHm5RAkiuk3yNL7sD2wR+4zzShsLhaFFe9wznfJKwwYFyH+98djFRnpdh6Vk5UsZGGTD9CEQA1XpRyL5lJ6QLo0+tBbWc2FJISbNcUWLOQ9g2Rggu0yUWssOek3FKkiTCi2TeY343rMqTH56USb/fIvH+fIOZvkJaHeR7WnwCU3h5J6TbhUkoIJxc1KWFOCDJlBX5fyFvfu2yRgHMDAAPEHkNKWBYrJWSkqk+uaVIC2KWEREoYzFyqekldPRosLAATsn1DXiB4fiyNTM5R+3+oaALPsLh4aVGtuQJR/IjtG+ZkfTZvlkaobAAhUUaB+ROxILBjTQfYPwMpAQpgQomxUsKsSAmNUkJVERQp4au+/EudYHav11MPPPKY+ptPfkYvUr/hq/6W+qff/W0zbWMTvPANHX6wzVQAw+BwKHzRc0tAC2TJCTA8VkgYjtT6SttUALM39KUevMxNZJdUviYlgH2DfNeV2tiF7yW2b7BKF5tKangBGxJsP9smsq+CPHt9HlHGBwBDmzeAQCFkJpallGCrStfAQFS1aiSg+aBCLqUERk76lVBMPujnW8jINOe1E2VkOTnZF/hP7EtQxDh0fbZdrNqSB7a5iQ6mKt0QPKhxKM/1xYoymc+PFSdi9Q6KvGUD6wT2MJSdh9VyxvF7uJ6xFMlBSqCUEoTjVBpwSyvzgBwcac1iuQ9Smxtss+/3vvkG7jm8kOUib7muW2CcwpzGzQ14dqxS+c5qbv71WXO3w0oBlhnJsR5eQPf0y+dqoedCTDiyfB7bB6notG8gclJK1ClDeWuS7FPMCiSfooyDvAU5GVcDjqZEemKOk05SY1opweQA7+rj82ev6R5TJs5jWQONlRKGeo3mVkooamHVREjR7BvkAbzC2Lgux7N43uwb7BvVMGY9/cZN9eFHd9V7H7rWkBLmCEhcVABmDL60ZyKpDCDmQUlVoQB4fuSxXfVIJGUdnn1DUxVaRxLINGPeJPNRKWGbmBNBzQSqlmFPBhRPkKTQhItw2g5sfRYOuD1rS6NpKyWgzYBkTrx8YObDk2sda/vgnJeVsTUKLbdnZY01JiWE0weLEkGREv7dP/9e1nFASvi+H/z36nf+8B3qG776b6mnPeXOqbetiXKqHfnV/QZshQHyoCcFNkYlAcA2pYQkSGSUEiRS+aIN+ZKk8tErXVq16qvQk1al20EiU8UIctq0BHRxz3lOcCqp4T0RJiw5i5BWaoBplp0SDmADiTwuQDktvzz+PJcow/NKd8lKw3dAgoeWihL2JQkaCqotsR3J04wtRcwfdwXwiAQ9i34PiTw4jlF6nMyxgKLIWz6QL90X1DiJADBdARxRrzKEJcH4wiB3mDa5zwl9CaSEPC9RFJguAYBt4y2MN0mlBLjP1DhelARnu34uqfyoKt1sJgj70kEolCiR2ABgUG9AABj+PRrac5wiFEirqfkAsP13WD2PAbkpkukjngsp4SirODG2XtJzt8suiMhJKaHQ15sc66Xk99C2A8Pic56UKEMpb5l7jSpHts/a2yAhRXBIcLpNju+Ubges0UX9SF2zVYZSAthYJYmZrrk7//WbCCuafYP6SFVLYjWSWJ2XqtA9tG9wKB296I5TmpTwscd21Zc99Xq2KtKiBahdhZTH6B09LwSZsgLBTyh6mXZsAnC5J5OqhrHh8mE/Y98AcWZjeULBJDz7hvZMq+vnRfK/7KiTpdG8AcFjop59noP3ISAifPrigXrgymFDSpgjwunCzonR923NgFiWx74hVuwibMQ2Vsx9C1IpoT1b+wa4lzYcsInpRRiUKmE846lPUv/6H/9DddTtqZ/82V+tujlNCKodORWCSfsGkNMusypdA8CCyi67VH7CK73j8Z23Xr/4Ju5km/wgkQbb8lQAU2Cbp+o4e56R00/ZDWxkN6GlUvkcANiXGzEArKupy1RKKKreYYgdMG+PpYsVvy8FzwQe7wsXKIDfFdoKBI9LB2bTgBtlyKvrdli8qZNy2vIKYDkAXVgqfxipd8A4KXy+XeO0BLi0W4qYzwNIBMxt40NvrwCGyPSlSCmBl5SuSnckyuRXSqCBMlFOphbARk0mQYJzzTcFbTDYc7dPKj+ybwACRS7CkfO6/PPQALAZe5xV6QQRjw/m88hbLpUjo4IyPgnkJgIbrDY4qtL5ALD9HDHBI7JvoAmFNImOH0zrpRG/L0RguoOo47MhYyklwNwdERbcSglFyWMSSxGeUgKqXRXtRwlZmFpLafuGSJnHNW9a7YI87yNNzH80+wbJCvO53PqZWwAGwFHwbYdwEQ0AgAFZebhN73/o2gxbOF8Rmg3JPOXivColbC7LAZgLe924EntzZfK5g3fm0MAXCMTwZg3ALGpVaGiqK4sEBKN9w3bq2UzGUyNrlQ8+siO2R12kmDVwWzd7rbLnxGlbGiVJCb3jEWnrmo5rXbeNWIgqAageNGui3miOSM91ibl9M/38z3uOWl1ZVh/82CeqbkoTlmBVWzp+rzfkNdjWzlkBTF+3yCZqsgIY5WTESgmqZK90z4Yqgm15+tG1ASy2T3BU+MNCSgK2ib3aGVWC5t64+xEtRfIAwFQDRBLQZFX6KHpmxkCHtR0OAJn1PZh97gKJoJ3mukpXMbz5Y+dFxCNSKcEzpmTOYwOJ2mP7BnhJdd0Xm9e6FNjgAMBs9Q4xectRASwgWLgqgLEfKeINfjXq86zrOzzfJ89JA1UoQQ4bVTC2S1VlqJYWJQUk+2FwPHTPN1YSnFC9g4Fc+pV50JqlLVc5cuYk//mmwXCTk/E4SVWlE9eXkCJ4Sgl0X8IYPmHfsNKJ7BuYbSDOK1GUsdkuTRA8hgbgciolZK4vVO9gjZPuuTs97yXJPpzrUyGy9LC8cME7NqpFwThO56SdHCKfu/1Z6SQ1jizkDsG9dBGOJOQKl32DUZxwKCVYlLekhMIm5jMWfd8grgoNpJpuUSTzsSIUKud8kr6f/4RT+m+wcMD71UTY1c3zJpteViD4iWDoNGMzAi4lpAS0bjhr8YdE8CU0UgKqgMwKgFl0/+xYdaUWc+J8AcH4PktZGkE895ZtTXy/sNdTD109mmHr5nVtFwasN2/2WmUFEhNnQdSDdQe8g0Nw9393j47dSgmxJUQ49w33Y2dlaQTrSrxWSOSMRYgwRq8c0W63VafTUYNBWNJbTfB8531A7KR9Q56qdEoCWuanDKCOtSo9Ai60DDQFptu80iVyu8x2+sAa+B6w6AM2XZ5NDnu1pYwUYKu4nAQu257qvPygZXyOomAbqneALLk0Jx3AqYRgYSUVTAAbUbWloB0iAJrRj7pNLguJqB/hPF919436ZxKwTbfZKq8ul6q3SZOjfYMB2+jP2lVU2JePVCs8OemRBx+rd8jJW+6qdElO2uWwUSrfAMBUBbD5mVUJhXd5dlW6riomzooknuVoMZrnRaq453sW9DMEI/NvGLvdVen02CAJv8qRh1CI9g0r01BK4Falu0lwWlGGAMcpXoZo7uaStxwEAU2CS7QDNn4lrG3KdsClzpA9hzuvWYoyNvsGJQs/odCnlDA5RkmUEowNRllzt4tQ6FBKIL6cFExnq3eMmP2obTB416aIFdLxnrRvaJuKirHihEQtqrFvWIRY5H0DVPcLCcwto5ppHja9x97ZfjuGZ5zd0pXde71j9fFzuzNo3fxFcEoJc5SL0wBgpu2dnVQ2kJASrkVS1acjq4bJ87XjXMpjbTqtwFemWcmwx6SEBVP5wBjPiXMLh8SBQGidLI1gbH32TdsxUa8Jj+1LMHPiYqsHzWJOhPdmqYXDzpFRJt4mSAkhkvUAu5olUQ9i0cl6VcXczsLnH7+k9g8O1ZOfeHvVTWkiFZzNRR+AFwPAOSr8NfDkktstAgCjvDtI5Ts2kcuSLuYBwD6lhJGusAWwTW47QAMbMvsEm30DSuUbljIJpFOy5OyrR5/x/N53byaIMiX1I7ZL5AvtADZMTtK+1Ob4yZ+7lBWs12cc55KVRqlqiKfesKluObGq9iWy5ISCiLQqXQOXFOkIiDKQk4KqdKmliP6M7/ceeXBt3xDlZB5LkXLUOwgwfBh5pWuQyP5s4c+ypIYxUYATvKp0+vk2UvnmGHgJllYakDkpeLaTKgM2cg88N7Aod1eltyxgW7lV6T6pdQOmo6JMjpx0XFcyd1sJhaiUEOXkSACeSixFypi7cTwfHysA0l2S/yL7BgexIZpzXIoy1DgpV+/IP9/gOZLfA95tuRX+FLlDPE461oNIKCQVZSh1IIl9A6EAkj2n436mFSdEijb0cRL1DGqshb4EKV64t2YNxPsO5rONfcMixKLvG+ATEcrG9aIAMLFMNYOUAPPp828/qf/97gcbEMYWA6wmDySPF7cqdIb2DWi3ICAlxACM5blbXTK2gqEBMEkV1tnaNyxW7mLUi6g3X0AwKggBCc8VOB/ec25PREpapBgrrISRx/Om2lG6pdEM1IMgxKSE6Jk7SaxFkfwXkkJAbE0yw9xedFujqmJuSQk/8dO/pDfwvvWbv7bqpjSRw3bAV5mEfsq5lBIce9iizU+brHhUeRqDWI5KZls7yvDOlYIMMJ4jSJSnctV6TcFmuD6PFQAeV1PrakvKcsDSCqlUvt6gZgEbI29OQj8+ttNVOxELn3d9TwWwSL2Dru6Hf1M5hj+xbsiX6O/tq3xEoHrCK11k3zAqTDjC85RrKSJUSmCMk17ylgYuI/JWqeodAlny6LmwP9vjnLQ9W/gjK9GG+z2Y7XQRqfDZgVjvtHOMk3bAL59SQqrN0X2G8dFdlZ4dZGTPNk91wpBvGDkJijI5bG4oMF8rNBQAklF1QpPLXFXp5L2UAbBcogw9Tk6uP3RVegnji1Ty327fYAgSMaFQNE4KnwmGPYvvO6XPIVFKcM/dMqUE0uZG5yQ9RlFrWkOsEaheFFZKsNg3SPqxFLJwVsEMzwEbc+M1EP0d0p+XWj81MZ+xyPsGyfyug1T16hwBwVzwBeP5t53UY+vD147Upx7fVxf2uurhq0fq8T0jR7/oMVZKUGGBgQu2gd2N1verEQAVEviSJAPZpKphHghNqhrWNmP/7BkrJSxY7mIAkTUkMLcUIHgO5sSkgtCWh6x368k1XbwEe7AfemRnRq2b0zkxFPuGaE4EkF5qazvPgc/eLObEJImAu/+7E9k3UEoJsG8nOd9MVUAapYTah5+2PcP4nbe+w/n74+FQnbtwUb39L96tPvmZB9QXPP+56uioa/3cV7/ypVNsaRPFq9L91ZawCQ8D7tWjgfrgI9fU8241bMlim5/FqgTHSglRBTBUCRLbmVRVO987lwdsuKrC8HsAmcIQPHJUAFt+riv6BOex92UEtmG1JdmIMqTyuTmpvP0Ikzkc9kefvKi+/jk3sdvg9EoXEGVcNhguX+pxVbplQ14ArHDC9XyjCgoGvJBIvdKpqlGuLLkfJPJVAFNV6ezLs1rquzfQzpV2Oxd5SznVOwQ56ag8RYCa9EonxjhJBbILyE6fk3q+kwoFsNktIRx51Tu4oOFolMkrzE84P+aka97MKk7kkSVvFVbmGZO3jtR+bxD7wfrDXZXOJ2/ROZlUxbDmpAPMH5VIOEq2yX6Oyb5YEqqHKALMl1XX258tXZWeqDCS5aRQZYlDcvUoJ6X7EtZtMnJqCSpHlrEuSYJD9Q46Jy33UkIe4x3mXI+k14PSfiTJwhJrFoe9CuTkWJmHr5QgmW+aCCuafQNZQOonScF1UErA8TN4UgKxEZwOeCd61s1b6sOP7qpf+cCj8c/hG77+BbeqO6/bUIscWDkXSnUzgoHzoNox70oJElICvseR/tlRQUQogHzSXnVWAMyiV4TWSSkBiXowDpl3nlbQ/X4QkZo4CkKglvA791xQ73v4mvqCJ54Ker6vIoKzb4hyEVrVOx7Gc2TdY5ZzYnJe5BT2wZiAa1FyTgzQtqAapYTwbCwWIYIiJfzLf/+T7EkUHq53ve/D+k864BQNKaG6YHmlezb4ESTaWllSTzy9rj762J6MlEBsf0qkg22APGzmGKUEsyEL0w5lR2f7vKjakoOkC3zn11fyVABToIQcWLDbBhiwTcuSk0oJRGXbNKTyXWDb0FQYwSLg6559Vn3s3F4FVelEPyKwwfClLiJdzK22dKl34LODAf0psm9w+JxLqi1tj9dYTttXAWwh2WgVFSnYVhAABiWCjslJ8M+ExRt3M8M1vEh83202GGacRADYlZOuau5yZcld+WEIPeYsp9aX1Rs/ck57+ybl851toABgieVA3M7Jz0PE5K0l+jtQYJsoJxnPt4/Yh/YIkJNXDgfqLz5zRb3y6TcIcskeMvKURb0jUpnQhMJonKSr0ikAmD9OcsKVH+nn0yglSMaXUeFna+hQjUh6sbpzMj13ywiF+jOe33uVElJ5pSv8CxIzzHVLIsqAHRhU+BNKXtQY57KkyZ7Erzhhzknnb5YoA0oJzMs7ri8hC7uIMrAxN14D8b6D9PpNhBXNvgEvML8BfAkZrOBGUh4XQBjcRAwxdo94FaHJ+MI7T6tPPr6veoOhWok2uGGj+M8/c3nhSQm49gilunlR7Rtm6Z89JiXwCeMoVX2CeO5i4CGQqlD0zq5CKWHRZNZDJTiVMSfC8Ai5tNppBa+SAO8QSIxxxbNu2lZ/eO9Fdfmgrz57+VA9+cxiE/NIS6NA5kR4nsx79kiPLYtCShirB82WlMCZw4AEhGsnigi0vhIWGA/7iTgtLsMm+4xi0cl6VUVQpISbz17P2jRrIuzg2A74KpMQ2IDNky9+0mn19k9fFrXBqZTAPIet+mKiAtijlGCr+pRsIruAbBnBwyz8NnJ5fJewGe6p8NcAMABGZBuUarXLkMr3EWXcuWHuuWnI5mpHxNh35boEbHMpThwzfKn19VI/l6l38HLSJbWetm8A4tF5gSwprd4hqLZE1QhCCUUTZdptutrS1o9Cz3kO58hX1YxKBDdsraiz26vqXQ9cVV/8pOsKVyCLxqmEyoDVK12DRPYcs6lVmM/LwHQWUcZh/YGEHoive85N6hMX9vRYyWHwuwhkkpwY5+SkUgL8H+Qj7J24qtJtz2Yu+wjPMVpFw/M9ICdvO7mmXnj7yViOtOj1pYQ+ihCoSVHeqnTb9WWKMiz1Dsc4mT6HRCpff566pkSFhHw+DQCsq24dZCxKHUCmKOM/2Ef+Sa8/oM1s2wGbVFN8XVlO2G1uYD1p1pJ6PUnM3ZQ6QBFLk1z2DSrVjyVcvyUaJ7PzjWlLS1fkQKWQ87kiVI4Wc0t+/qPZN+AFPg11AF+QDAffBTZZj0InJaCMvICUcOPWqvqBlz4pnreuHPbVf/6L+9VnLh2qR3eO1C0n1tSixti+oRWYfcNizSLoXc8BFcuSqQawlUO+B8IEkiZO+KSqAwEeECBHxctZgy+hV9dPl+AUhux9kYC1L67f4dmcFTCaJ/aiOXFrdYmVc/BdnnvztnrPQ9fU2z91SZ3b7arVpbYGZe+6YUOvBxY5xnNiGP0A9xTmRdgnXySyXlVKCRyyHioHwWeotdNYKSGM+QAsGTFWZkiyGtsaLU7uhhBBkRL+8Nd+puomNFFSFPdKN5uMEJsrQgDYYXsgUkpwgZZAmmhHKgWUUkJR6WIGQITnHHoJHkqd2VhRf/nZK5pxKlmsFt0Mj8H09DmiylW/VD58NruZX7ZUvg/AQ9nvuLpfYjngI8qIwDYK2DDV+mQFsAX0NP/PBxZckv/pcw6ZoAL0paxSwd4GWVW6OdBFOjI5KasAnop6hyN7x0oELf1idmFXQO5wEEyKymmnAWDqfBQxI4/CgC9cRAskbmFswpzT5ZMSdE5aryl5tjEn7Yoyw5goI60AFuakJyl9uYFkPuhv8IIEgofs+kROCmwHTE7ax0m0uaFzklYHKEOqPntO4hypORPnS244VUhUfhKcaYupzEDCkZNQSIwNkvAryrj7JmPfIFgH6uuT7ZI935QNVWy9RColEOOkxIqDmZN+okx6bCq+njVk4fyEIwiYr2Gjc3WtE6kWyRRlGvuG+Yxm30AWoLZUl4CNX5Ct1dVp6yrYQMlcAGDyznun15fVM2/aVh99bFe987NX1Dc892a1qIEb1cGQEmKlhDDA7VkFkjBmAX5CH8PQBe+UsB94ar3NAmAAuKTaF/txB0NKmL0CyHpUwXw8B9X104g62TdoILhjis/g2Ty5Vq85ESwcgJTw8LUj/Qfj859wSr2KqcZY18Dij1CUEnDMhrF6kWyNutEaYFaEIJzDOBhZbN3g2NdEkpohNlVP9sU5URfAzJAggWu6RilhthEGpaqJWgVna9Hnv54ELjdXhQCw47wiYMMCPOpN5Aggir1riW9sBS49Vgt5KttcAB60cxQBGl/6lOv0/1856PMa4AENpQAJCQAPwb6hJdtEJjbvC4FtHkUDA/ojUWZJqJTgqEoXVOlBrmVBS5OTAFCP/ZQtbbB8Vn9eCGxwwlVBCsUASfsGeBkUVQBTYFtUwc0BF8YEjdQ50J4ltm+gqy2LgH2mDX7WEYe8hc/VlpS85egnUU6QFcDjcZz6HqTEvK6cFYBUzApg6jsjcQtDTDoqAQCOczJ9jqgSHdpo7Bv46h15FG184SOEJa0wxOOkowUSINmp3hHb3NDqHXbSk9BShDV306oTaSKb3pAVKiXQliISpQRFS+W3kJgpyEnP2i+feof7O+nvkbbCGBYfX0RKKJSSyXA0QeShVI5sxAyfStbEOZisBLdSwii3pYiLmClTELP7x8MaEja/9BrIsRawq3c09g1N1DvG9g312fbBjd/QK/GwKpRPcrXHS554Wv99z7k9LWO9qBGef/bSXORh2YFg0yykuWGNEJMIBADM9hrdNqwKPegNw/LOnmFew7oJ39cWEYAZBKa6UhaYFjoQHD+fgjkR1EBf++yz6gW3n1TPuXlbPSWycHjvg9fUtaPFnQ8hBjh2BEZKgDhaoHEF1wCzIiWA0jAEZ58NLH5dykGoGLOyFM58EM+JS7O1nVt0W6Oqoj5vp00EE5xNZF9lFNo34IsDSraxru+orJP6zmeAjUg+WwOrkVe6HdggPOuddg/Z76EKVrbhRi9WU8MCcE9K8LDJNwsAYDwPLZXvkSUn1QHKzkn3OQE8wHzAnAS/zzKq0mX9SCgloOWJtNpSBPYVV+9IKyW0pV7pxM+xWzh5EUvlp36eVkqYelW6pzd98uDJvtwQA8A+kEhQAUwA6dq+ISbKUEoJlvGlLa0A9meli0iVtG9A9j5U4M0SAAbCEZzB/nybtrtz0k6ik+SkbayVKyWoFKGwJPKWgAjnqtAfk7fo72HNSWFfFh0n02OtCACOjiunut7eF4PEs00SKwhFGYrISbaBod7hOmN6TSixwnA9E1KlBPt6MiIUxtKrtrmbUAcSkjP5dmA8pQTTj7xrm2bS/WiOGTHJwtmfw9ioSQlg3+BYC9jJwrL1ZBNNzF/UC3yZkM0PuEJdy8hHg2RRUsLNJ1Y1EAN38q/uv6IWNUIDEjEPgSyBldeLELMGYMZS1f7nfYcBwKB/dgjgS7LaeZZ5DWuhsYXD4gEwsVJCQGBuOXNi2PdybN8gmxOfe8sJ9ZV336htNv/O592innB6Xb8//flnFnc+nBw7woH11hDYDTwXp0PUm61SwkFJc2ISkA+BrIcE1JUZ2+ugtVMoa4NFiXBGryZqFT5GU0tg3wB/r0cyQKUAG8wNcb35qehqSxgjKfAOf5IBRqJK8bIrgEmp/KiT8R0HWHW4GGS1wSFLbn6vRIAb1ZedpTYtlW9RjJDK7Zpz+HPSRRhBdQzMSZi09rkTlgW45VbDp06TzakY2DDtomS+bZvxeH0RSMWpAHYAX+nK+jxe6XagzPxsJADSMyBu1HeGlABS+dOtSvfa3HhAJ12VPqHewSccQbhyspiijKkA1vYN2uNbyarSRUoJ9LOVbhN1RhiTJ+0byiF4FH2202C6m7xFj7Hc4Kjz+FQ0zNyYVynBJZXPrwo3dkFEVXqk1EIqyrhULwT3khMulaM0kC6RyqfWH/F52M82oWSilRKGUT86lBKInJQqJfjCp6KRAdMFVhiucVpmhUETZXROIsFjxH8uRHM3k1DoWpun514kn5VhYSUhFNrWMWBtA7K1xlcX1wIEEc62nhQQZZpoYt4Cs7su4EuyQjvkqlCsCIXqszLA2y+806glfPCRHfF6vy4Rmn1D8r6ifHPdA9Z2MQATbeBPOzZXOnxSAkOqejMGX8K4Z8mq0FnGuCo0jH6YZYANXUhjSWnqQYHfy1gpIQJV8wS8B7zsKWf0vz/48DV15XBx1RKqsH7hS+CHuz4rO5CAgYSMacemYE7kqpPECkIBjCG9iufERcrdhSYl/MMf+GF1z733lXa+o25X/cL/frP6tTe/tbRzNpEvXMDCZAWwGwBOrhGBDcZ9caCAdDkAm5WJTQJEqJRAARvKuvnJV0oQVbY5KoDhDLHEew6lBErKGn/PPU+6L2GOiWXJtYIEv8JfKpXPCR+AeJz6DroynUnw8FWl8wHgUWbQjnMyUnIwoKHEK13qr91iAsCj0iWgnVWjwmpLuyy5Adi0fQPkpLAqXdKPLFlyr1LCOCfzWYpQlau0LU3mPFZLkQR5C3KSANMpQoEEzDftZRzjyI30fLOZwwrDTt6SKPPQZBvdl5HNDVmVrkqyufH93kMOwLkRcxJe0nDjp0hOSpQK4Kh0TgKJMK5KB9sBqirdQcSTAbCtQipH6XHOjJOsy5PrD/wZW63JMm9DwM+gwkjbNzjmYltxvIuIQQVLKcFxzvQ9RaWHoutJuRWGhSgTKyUgwZS3BjLXlyhv8SxFXKQju1JCcfIYjnuc72JTnECwFdSrQH4yJjkM6TXxxPUb+4a5iGbfIH/gMx2K5P2ibHrv5ZCpdsUTr1tXt5xY1fPXux+4phYZgAkFSIR5fDWq5FsUuV+Ya3G2nrl/dr8kpYSITBEC+IJ9WsUYPVZKCKMfqqgwB1JrHSKWzA+YqAeB+9BSpQTbfPikM6CWoNSf3XdZqUW3bwhkTkyS1UImjZYd3X416kEwjvmUm3FOPOlTSlgJZz4Yk23aFZESqu+DRYrKZuG/fPcH1Ove8E/V9/yf/z/97yFz0zodj567oH76l96oXvnNb1A/8dO/rK5c2ym9rU3IguNdayqAFcu+ISYlMAcHF9gnlqqnwLaoQtklS66vl6nWLF45mw4XGIrV8xhypQS6Qg+C25e2isuknzJuLpBVgkSF4WwBYAMcYMBLDBvYGOWvhp84DynvbvpxnJP2NlAgFd/3ntdOZ7VlCng0eaAK30scLzi3hAINk30JALBMKUEGtnEO9dncIOg/YSnCtrkpibzlksqHcRxykpLSdnqlF3+20ufk2jfAQh83k4u0wUWEsLbBq5TgUO+wkrf4ajZ4Dt9A6bVv0FXf5t/QXng548rAOQFg5rPNtbkhq9IdihUSQiNPvYMee9O3QgQAR3+7SC6s85BKCeYlGG0waGJFtg36mZDaN3h6E+ykXN/JrpSQfx2Yaz1nVYsyhATz7BvPRNtcSI+TsmeCE641sp0oM1ulBGr+xzUkVCTDd9DjBUXwsK7rG6WE0KPZNygeoQC5ZQRu/Ia86b0bvW+XRUqAse0lTzRqCfec31WLGOONahVMzItselmBldjw/jkrICy2b2DsYSEA43ruYunrflhKCbMeo2O57gUh1CTXs7EVTEAV5osgmT+eF4sP4qiW8OFHd9Sl/Z5axIjJNTMGb1mqHQuiHjShlDAjUgK87+J84SukiufENaZSQgAKQtWpB42JGVJb5ibyRzlvSTniZ37836gf+68/r/7sr96n/vxd71enT51Qf+tLXqw+9zl3q2c/4y516803Wj93eNRV99z7afXRj39S/ek736s+dM+9+ufLnY56/Td+tfqWr/uKGX+TJvJsyLMA4MTOIQy6Eol3stpSFZUlN5vIWDVPAZGxp7NNKUGwic0JA3zxgC5gpV7cP+A1wDTCvhmOvy6glGCkfw1xAiccfd9T2WMDJST9GJ/DB7Z5AEQEs/JvyNNV6fx+tJE7on6M2kdXANNAvKQCmVWV7gC+0ueANbRIKcEDbnC+Cw22jStXjVQ+//N5gA1OBbDb5mYMpqOlCCwkV9bbhcA2iRWFsbmhKoANmErmpNOyQJVale7KDWxncqGPL3ncIEkuBfN6KSbKmHnQ/Vxlx0m5UoIHAGbM3clxEjYsZUoJrusKSHCWz0/Y3LjGSUsfSCxFzLzpP8w19mfIWxKpfMdxeMr0feJaWMVKCccR4Ugw1pvry0gR+jOe43yKBel7Kid4OOZu5nls60nIQyA2QnuQ4DGwAunEfKWVNlSpc7eLfDOKrjk+1txL075W7rEFSQSc76KtwGz2DdEaEjfljOqR/TvYiTJNhB7NvkH+wPwGq7y6xBgIrn7z1C+ZWx6CfsvJNf331cMBe+ytU4QouT4GYMIGA8sK/J6rnaWZ5d+mgESAz51LKQHBl8MAvLMnlBIqBGAWKaC743kxoLGkFKWEwAkmZSoI3X5qXd11/Yb61MUD9af3XVZf95yb1KJFmPYNS3ORi2UGEmRnpZQAcy/Mi9eOBpqUcHpjuZCl0aR9wzCcvJ6xkg0S9eDyMC+vdsJ5ruoclZESPv/znqPe+LP/Qb35D96ufv5//Za6/6FH1a/99lv1H4jNjTV16uQJdXJ7S60sL6udvT11bWdPXbm6E2/MwsvY6sqyetXLv0i94fXfqG65yU5kaGL20SpYAZzeQIXNT750MS1TK90Qz0rlj6v7tSw5VZVOnFNS4c/3AKaritNAuq4AFnl807LkVCVa5hwj0zo7SGSqqREQtFf4U0C8FGxzhw9ATH8Hl5e2RLqYkmzm2g4gaDkG2xwVwNT1JRXIjOPc1bMp+wYBQOQFNzwVsxP9aK0iRo/vkWbOw6lsm34anLHkpIgoQ8j1Z+Xd6d8DiTT5fMMGkX4BWGdc3/E7ygLEeh5LhX+yH11VsDbw2HxeUsnMq0p3q3dkK4C5z7b+vEsqv4C8+wSYHtncOKuYM5+Vq3d4AWCPsouRok+C6fB889tAXlek6GJ/PofpqnTmfIOf53Yl9zjXPJaxudFroOKkJ+wXjiqGGefs4yT4OrsIR+6cFELArYJzd+qe6pxk30x6PSlSObLkpFZbOh6qFlgOaPsGh1KCKja+aKIM0w6MWo/o75BYFONzDs+Rby/Mp/zFtUex9SOqsiQ35ah1se35lpJcm6gmmn2D/IH5XRfwZV42vRFAxarsMuLEmjkXENrg/JuRr/AiBIzfodk3JMHA7oIAu90ZV4ROKCUwLEg59g34THaPwWJurNhZeVVoRUoJi0KowUiS5au+96WPQwET9WCdj1XdRe0bkmoJQEr46GO76tXPuCHO6cUj6oVDOl009SAYv3GPZtbzoiElDJzzNc7ZrjkRYj0gBSHYZ6qCbAPXwz03IOvNimSy6FHpmwxsBL3m1S/Xf977oY+p3/jdP1bveu+H1NWdXbW3f6j/PKzOZz631G6ru5/2ZPWql3+h+uovf5k6sb1ZSfub4EsnSyuA0+fQVelC6WLqunwPXkoCOqpKd1Rb4iWoak1u8O0b7L/Tm8WJxTYMtFzLAa/tABPwwkP8Vhj2DXa7LLlQKYFRJuittrTlZAkKA3KlBEtODsdS/lRO2iw08PoSggevIlLgSy3oRz/piOlLTfhrI/kJ/uDi3ga42GXJZc82x+PbR75JK6FIVCdc47TpR1V8nIwAariW9dl2gPllj5Oa4EH8Lj3GSEhw5vMUuYL/PUiCRlQhr21ugCgjqEqXzjc+4NCc050badBQAqa7clKq6NJ2zN3LHYdSgkMdoIjNTinjpNAuyApkK1qViDtnxEoJDmImrZQgscGgv4dcKSFL5OO2gbp+UZWjTqTI0m4ZYqYh3hA5Sdk3lDjfeHNSE2USa6Don5pY6tnU9c3L3DUd1Rdj+4aEUgKxNLcTChtWwjxEs29QLOoCvsyLfUNvYMaVlRI3NeHdRFsx9o7VtcPBQpESYC2JI3VY/tlR1X3AuTgVpYQIeJotKcENlsB6BI9xVYXC+IEqSQA8lGWxkjeqItusLahSAlo31GleXJ0DIBjUPFGFD5/pMtSDcE68ethfOFJCiEoJ67Fqx2KMK7gObZW83itDQQhJejDn+QD2sYLQcTDqQfheP8v3TFAQgvHksD9UpxiFfk0Uj2DeZF7wOc/SfyDuu/8h9ZGPf1I9fumyVkbo9nrq1IltdfrUSfXkJ96uPueZT1MbG02GzHOYCmA32Da5iVyOwoCkctS2IT8GiNC+wS7fixvZWTltQeUsQ0rbnJMGBeAFPgMQlVAB7LvuxDmiY9qkFUZUuUqAujaAB0FTjgR1fA7PMT4AMb2pL5KAduSkNCcy6h1RTo7tG+ztovLJBULkr0p3VFum2kFVh9JtoH/HBYFdtgHYd/iSatP5sFdbyrzSOeEDvdLV9WWCbdzzWMfJVFU69MtQADBJSEeSqnRSvSM1xkgA4PjzOeY5bl/A8wFFNG6lhGwbuNXH8TlKysnJvhQoyjisnyRgtjcnHbYDFKFAQpQpQ+XIRpSRWJrg+Z1KCXnVO9rGwxLJhIqYi0nyFu9rjMkVns70zWG2nCxt7uaqHFnmX21tAuQONdK2A6TKEfFcSMdJTk467RtS/Qj/xnWc9/olKSXoPLP8fGzf0HKSiOw5KSPBNRFGNPsG/IiB3IA2rcuSHQ8ZgOlF1c9lb6qeXO8YUsLRQN1yUi0c+BIakBjLpgeci/OulIBgiY+UANYNkCUw1LkUSmCNAL+H8wFQWj0poSr/7AiEClhxZhqBBVowjtTFAmd9DtSDdrvHMZjqIzNL4uTaeE68+YRaqAiRlLColkZASODgEmUFznF70XNVxLpBny9aVwehlFDRnIjzoiElVN8PixLBkBKSAcQD+NPEfAajKJ0BABeoEnRUKUrANrsE9Lja0lWV7vIAFgEbraJS+QXBNofkL7e6DPuHVErQag60ZzYlAY3t4+y0c8B0A7Y5qi3TIJHD3506Py0BrXL7Uo/7cQwS2X2pKSBeCACzc5IvlS9SSihBdQJJRdl2t+JNRNzw0oSJ1L7LqCBoKqlKd1l7pNNfIpXvUpyQkLf0OElas0TknchKhm0PI5RFZxNlXDmZkwQXt4EAgCVKCbb38ySYDhVy7qr07Nggy0l/NbUPPEzfU6M6UQIALJ07qZzUyifoYW+fb6zXF/Ulj7zlyo8MUSZBmCpG7oi+O+c8DnsVsB2Av3Ectc3Ftur8PFXpPnKmU63BYh8lyknX3C0iqmSfb/B3H0XywStLHvUOSxOoHLZfn9dO1xrZ1g4uEc5HsmXnJDH/Y9Usgn/UfEzaN8S/C2dTrwl+NPsGvpgk29Yhxpvex4tHSlhbVo9c62oAZhHBF8jikFJ5bN+wKACMeeZWq6gIZZASIIBk4AOHgNikSQkBAA9j/+zZJnZcGRtAH1RFSqhLzAMQPA1LI4iT68vqkZ2uunq4WHNiuPYNi2ULUwVRj6uUsMuwM8LA5zKE+WBMtpl9Xs+DElvdIpzRq4naBAckwk1A1zmSLxMyYIPekDde6azTRPJS2ep+A2wwqi1t129LquJ5x7mqBOEc7SJy3g7JX989zFQ7pn4e92VU4Q+EjRFzExrvi6Qy3QsAe8gBGYJHiSAR91vYNtTH/WjuL+lLTTwXYkuTogBwRkqb34/jz9MED87z5ZLbxxdV+LcGx4m+yeRzlL8yJRR3+IgOGYKHFGwrAQA2VempcTIiR5iq9Agct7bfvrHoswjII5XvV0pIHitXSrBFEuzinIO2FDFPKLCFaQKaXb1DQq7gAsD+qnSVIsIVJxxJwGw971mUedAuSOckkMoEbTA5KQCAWyUTZSR2QWVVpTty0igljH/PBdPz2Df4wqU2hD/Nb4XhmbsLKKHA3Ic/QaUEyXpSsnbA433hGntt6xguEc73XsAlUNnmGyR4JDcvSKUEYi2Kv2uiiToGPgohbVqX558d7qZhD2XuS96ohqpQiGtHfbVIgZVzoVU3j/2zq9/In0VgJfasvbNR0hnJPi6p6m0OALPMIzrMInqVKSWgfUO44+g07RvqREqYh3GomRPLDXgHDVEpIVYP6i+YpVFFpASXgtA1ASkBlXMOetXftyrzuiElzD7q83baRDBhgGz3AOLayCY35AXjo9tygL8ZbVdKMFWrAABSQAlVOSvynWcqJTil8gv4Usfnd/ycB2yYe2mr4oW2wBliP+UhH9jQ5xaBG61iRJk0mC4AiXQ7HWAbXypfeXISfabtm/HtMmTJOUoJSqbeIatKdxNlOMME1RcAsMCLqunHqHLVSvCwW4rgucsCgI38vyQn+VL5ZnyhK4BFliIUUSYxTg4lliICsI9blW7GK8UeJ0XkLSInJTnhsm9Ibp5wyT76s578sZ7Dp5TgGffT91RkKeJQ5jHjmkRRZvJnhqyVyElKvYMAT135kzkH49nOQ5Rh22B4AGDfuJI8j11RxoADSaUEGkxvFVK8YBEKHeO+7Rw6JwVEGXLuFqscTf4Mnnd42Yb5BsYciixiSC7U3F2cXFFMKYFn36DH6RKIMhSRDTeWx/YNRE665u6GldBETQNTuxPQpnXRWJsDqeqxUkKrdPsGiGsLVhWKpPGQwBeIVczFgAkyZQZ+T3wGZwUSwNrNRyLYyVEVehDAGAJE3ypA8rF9Q7hA9jSiH70EhDaW1J6oNzX1ICTqLdaciEUrVaiscAkyUnXEeYxuNH7OXimh4yUlJNWD2ES9fkhEvQqVEiTgYxOFoiElNFFJ+HyN03uw/I1PdwWwvAKXsm+IKqnJaiy6Etslx54f2OCBPNpLWSxLLr8utxoaNxiM7QBduZq+oxOS0czgyJK77RtGhaqp3dWWKndOxDnpU++g7BuEwCUnJ436Au/5lPajaYMqbClCVwAPdT/i/9uqo20KIgh0iAA3L9jmAYAz6h0ypYQ8Fdz2Nii7pQiMkwi2CcF8CdjHrUp35+QkUaaMnPTNcxyvdA0AJ8ZJJ2CY/iyQVIT1v76upFQvaIKHTAmFJm8Vq0rXFd2olBCB6SNy3qeIMqpcSxHXGshmvTTik4VcxFAuEY4aJ+EFsTsw5A7X+ew2GhJlHg6dkKmUUGAd5Jy7mefQJFfLz6FyeVzdT+UDsZ4UrIE4hCNvTlLrD8bz7SM0cpUSKOISbizjRqftfLGVRwnKW000MY9Rp6rQ1XjTO9xNw95gNDX7hkUEYLBybsb7/t5YtKpQBD3xGZxFwHqLUxUq888ORykh9s+e8RiNubu49g2BDSYFYrGJessLSdTDOTGpGBdSLsJjhntYdY6QlRIkRL31lXY8ProUieo8JybHJ1R2aWL6Ec7o1cRi2TdER3ABFi21LKgSpBogAdussuQJf28NpFMVgpQHsBSAZoJtdPVsVt5d6pVOdSa3L10VwLiYgn6lqqnhBFTlqgik8hzj84dOp5VcTpuuShdVOxJV6dB3TvUOVYJ9gwAQc6qgpKrSJWCbC9zggtkkQQOIMlopoeU8HwW2md8VJ0/x1Tsm76mR0i5eOSsBDvU4mToTjjNjpQSCvFUaUcYfrucsSzjKQ95qiec5vlLCUBPzfESwTAWwRJmHCXB6LUXSOVmS9ZJM0WXkUO9IVKVblRJoQqGE7V9Y5SjVj7jXwBrfPOohLtIYZ94EYAs2pXEvjwaU7eQtadGET3nLNXfjPctLKCxr7jZWGHYwfVzdLxsnpUQZTrjIAbb1B3cd5DuixR0nCcUF3FjGvrQpL4wJKqlrRz9YgH2zJhY08FGoEykBwTTYPEVP5WABmMa+odTq5tDyeH0OCDLTUUqYcwAmIJWAqqSqsQ/AFgOB+kWIOto3ICAKIHCo9xII7RDNnFjuuAFZHJLoB4C6+GiFTJKpCynhgEXU8ysbrS6BIpH592HFZD0ks5RN6uVEY98w+2hICU2UHhww3efhmq5WXJJsIjuquaVAdvoBGSslMKotLW2QAtCc8EvlJ44VVgC77mUZVemwkYSKE+7KVeL6pcqSuytxs1Xpdml/+/U9ADCbKJOV0x4rJZjKaKlSggjsY4JtTvWOtAqKAGzDz1MwtKTaEoBv2+dhEYR97AaJ0gDw+HdFbShkSglpMkDxeym19KAAYFOVTucDNU76VEtyVaW7wLY04UhK3ipBKYEC21ApYayCwiNW5AHS0/NuHpl1a05K5m5qvhEQVbRUvnLb3LiUeazjZAQslzp3O8bJtNw/jkksANjDeHLl0cR51HgsTAZsmgJ7vM1RSsiQEkwfc/qIrzjhfrbNMSqXZZCbKCMhBWSJMrghmlRK4NpgmOvLlFB4RBn6nLa0Mmvz/AoHXAWWyfNkAzfy4760ELLwXtmsxJK/b6KJugWmdp2kqpObv6Fuek9bqnqvexws+DRV4DYwIHGslFA9uD2L6Eae9bMGYGK7BYZUNUspIaoKDUGqGqtCZw2SJ+/hIlWFxkoJNZ0T8RkNLZo5sdxAQias7Xz7N7MMaAvmI1g4LIp60FpFcyIQ9ah9lTFRz6iJ+O4bEtWqtjWKlRIqGKMb+4bZR0NKaGIqwakANgQBJaqmLgr2SQFgWinBbMa6PYDlVaaZ41XJsuS6apV/fReYzlZKiDaI0wEAej9TlW7vS9s7mlhi3tObPqUEUxGebL9UKcH+O1PNzAdISAA4qkp39aOdKDMNWXL63hjAsJULbPO1gVttCaALrZQwjIkSbpDIPqaJQCJPb/qr0i0S7yLyVglS+Yl7aLMUia1ZRBXAUsJRq6BSwuQ5DHmL2QBPJTM3JwzhSJGKMuNnm2gDkZOS+YalKOMhB6THGdHc7SIUCmX/bcBjTChsOxRlQlE5soyTpJqQ7frO63ItRezfAzZNobIMgQHqe9juZ0ze8l+ePQa4csMGRItJro71JH/utp8HXrZRJpAad13KPqKcLMMOLE3GYxKfKNJV8jw8ogydkxBxX7az7XLZgUgIy000Ma9RJ6lqGC+hqivkCnXcqC5bqhqq42DMgxFrd4EsHOD9LMTq5lWUTQ80D8sOJAFVpZSwx1BK2F6bL/sGUCqognAD72h4zUXyzx7bN4Q1lhS9lzjXBEvUi+fEcseORZ0Txwor4a3t5sFOpHylBL8aQZmxGc1hxm5hZCWtoLLQibUlGfmvYrJelbmN49MiEfWqjvBGsCbmPgwg71/kuTYhi1Su+sA2/nlsADBUfRqwzVmVTknlC6o9XUA2tx/TKgVSf29XG7RCAwM2oDfUAWwDCehkteWUqqkZ7URyh8ubOl0BXA4ALARgveodVFW6HRSQbsZzAWAaJEpL5Zs28/uSBje4wKEzJxNKCS0SJCL6UgoSebrSN16kQWSJ7YBLltxFGOMoocDYiOQt6EvSBsMxTkqk+jnhJcEl/t+Qt0YlkbeYSgkUaUiTt0xVuiYEEN+ZAgxlRXR+9Q5fdXb6+RQ92yVYs+B5aPsGJHjwgXS8vsyahTFOOucb+/qDq5TgGqepdQtHmQeBrcPBMFGVzid44Pm495KnzOOxsEr9TK+DRGB+SSRXZe9L7EdDqrO0gbSwEpDHHIoPE+d0qbE41h/+67uJMu2C46SuEkpsMNvmkDFBxX79BSo4bmLBAnM/tArzorEWyeYj+B9SwDiKm6plV5TDOI1qCdeO+mpRoh8okBhyHk7VviECREKRqoZ1zs4RAjCduQFfqq4KRSn9RcnfKpUpph34TIZKkBpbGpXb7ws7JwaqHrRo82KslBB951mO3Thn7PeyZJzdrpnbYN8LSXhsW6Oq7Rui3C6b1MuJxr5h9tGQEpooPXxVeizJ3UzlqgBM9wAbbADYtqGOYNsQvdL5ssX68wK53dIq2yaOlcmSK2flKhfYcNk3GClt/H8JAIwAHTcKW4qkABqZBLSrXUJZ8nQFcDSK62rqXFXp/H7kViq7gFj4sZXsU4JSgosMkQy4lg1s0zmZUO+QKCXkIR35wjdeWBVl2MiKRwWFe5aRjyjjqwC23QcpUaYERZkUeYtrOaA/75j02KCdBYSeGCeBBOewOrGBry7Q294Gf/iUVdLjDNdz3m9zwwdgafsGY7mDliJD4XwjeLSK56TlHGypfEc/6usy84LqC3wBRiY5EAu5OYnnK9W+ITqIO++JSK5lqRwpui9xM4mcu1U51kuczjRjhhJZxHD7wKmUwJw79fxuOQ9stvydz7slnk9s7YpJCda2ydaTTTQxT4Hr4jpJVUOM5YHD2/SGdwkcU6bhiTsGYBaxKjSsPEbFAAAmpHss8xjVS1Xbcx7IBfi+sc2xb4jBl+FCE25WF7AqFJUSQqwwL8VKJtB7iTmGOVdmLOKciPYNIa7tQs/FacyJs7Y0SpL1UBHBbt3QYdt7bETEiqrJekhgqmKMbuwbZh/1mombCCK4FVlOOW2Vv3LVBeZzAaIxmJ4CgKONy0HC43skqraUeRBzwlVVbDaz00B6cclhfV1BZZsdADYbDOOqdCEALJVO9hwzBksUPycF6yyyKl30PbLApa76jSZv45Wew5e6hHxgV1taKh0NmM5qQnx++895IA2VD7Du6Q9BvcP8v5vgQYDpIvsGz+99ALDVnmVUApDOH39sBA+UmdeWIpFUvu2+DMsgyjCBS699w8SxMqUE5bMdYJyL6gu0b9CKE9E1bDlmezbzAG0cpQRRTkqIMo6cpKrIraexzt0mJyctRfhNkNpHcMKvFpUeJ5ljtbcqvVh1O26aLkeVLubeMHMy8Tvv9dlKCfQ5bfONsWcZlfNsM89BrYOgL2PFCUrlyGW9xLy+bi/nGMecY7sf3DHGR7L1KbBMHGv9fEs95fpNZ47js22buyVKKE00Ma9Ru6pQ3PQOoNKZ2lBtTQkwOLlu/IGvHi4OABNqdTNWR44WpCp0LFXdDgZ8gUCVBJRy98XYO7v68aMf9WkVFc+LWBVaR/uGCYJUADltC5SYR3WOMmMx58SIXBOgNRfmItg91j2OBseVEPUgtlY6EwSEZKCVCde6ISQFoSpJqDgn9gbNvsCsIrwRrIlaBNd2gFslKPJKd2wsiiSYYRM59TOsoB7kVEoQS0AzN+RdfsppywEISXWf87qcakeiahNeBDSQ7qsSJABgiVQ+Hu/8fdRKt++8mlTvKEE62VWZaG/D5Jng/6Ev4WUSwTbbfSEVKyTXZwIb0mpLWG/wZMlNRrqrqf3tS5N1JnJyMAbZaSsMF1HGf/1xG9zH+KpQszlp7GXY13eAbUW+R1yVPopIM2QFMCFLLiHKMC1F/GBbPiA9zkkHmD7KCaRjDgATHucbCNs9tuWkpB9NG/zqPBQATeakgAjoIxSyiTIWNRZUbABiAlqKWM/nnLtV+XM3OU7anytOXvquzyVYAEhsA9IRRE8qJYyY9xNyXOcQy/qJT8zU7WWqDIhykpg38TySnLAF9CW+cDvHSVtOCvqITyik742V4MEcY3Q7Hddnz92C75HuG+e9lCihNNHEnAU+CmAXU6dAMDjESrxxlZd5Lys7TiyiVHWgQCI8V9imugO7MN9jtfOsARiffcNuNwJgGCoJSfAFxg8JUXWauV2pfYOkOmTOAwGv0MaSsuZEsNgL2r5hqkoJizcnhqYeNA9WImVGt1/NnAhx49aK/vvcbi/zu2vCOXGCrFexgtDY0mj2fYrjU93XcyEFP0NnGIdHXfWm3/tj9c73fkg9dv6COur21B/8r5+Kf7+7t6/+/F3v1xt4r37FF1XZ1CamBRJZbQd43e3akBcDsBkA2PxtPL5pCwMKhIbrS957eJVt9DnToB+uvWGc58ybrn1kru87VQEMkwwM9n4A2H4RkVR+9Im81ZZW4BLuPRe4dIGWWiqfC7YRBI8lQ0ow1dRQoc6/l9OoSndZe9jAU63gwQTbzAWI6zIJN6a6376xBC/lSN4hQSIC3JApoTAAYG9VegFFGQe4o61RROdJA1Wm38b2DY4K4MJEGd6BZuwd8WwwhPON8hBleDlpZ4nGSgltN6Brvw8y4haPKOMeLzI5KbFvgO9AzEsiooylL2DjCeSUYR/Kr5Rgr0qXXJ+zz+VWOcqO9dy+NIe4q9KLAMBYyYWbINSzRQHRkrzkWlhhe8u2HHAdxSX94Fhq60vIS9wUJVWOyLlboNQg6EsJoZBvT+NeO/D7kvs9shZEPiKeROWoibCi2TfgRd0AmNVOuJveWGE1DfAlCcDYquPqGiEDiQBG7PWO1RGAE+uqtgGEBJwpQ1NKQNn27ejZ8MX6MrztmrUBVPNuCYCbMgPWPlVW7q9GqmeLBMDE/R0gmFvGnBjqvURC0zR84hfSvgHVgwLM47GSVZi5OB31IL4iQVlxdntV/31+t0sqJXDnxAlbo1CUEipUD0ISVRMLSEr4xKc+q773X/zf6vzjlxIbeZPJuLW5oX7ml9+o7n/oUXXmupPqRZ/7nIpa20SRcIJEhSpXHUC6BAAmNmDhR8bj21SuWr3SiQ1oMQDMJHcMifLoNKgAx+qq9BLAdK5UvUu22FT3J76HQHVCIpXPqa7zVXCm80rmle4CLWVKCXYwvaUO+0MNEh2PXL7UrcJV6ZwyRdcGPwViS+TyXQDwqEA+ILkDNirM+WSWIgZMF8BEPgBYU0zoKvqsoozk2abVOyQAsI3ggaBfbN9AeK9TIJGE3MHoRr8yT+p+ahUUYdUMTTqSSNVTSglGmQf/nwJfM9eO8ocbnHb6xousOo80Jx1KCayz2EmBQIKDfsR8pVWOKMKRdL5hAsCOcdJm1cNRQvGRS7hV4dT3wM0PBFtIcqZDap/7THAC527b8bY2GIUBVXg9ySVPuYhLMGePSQn0OGm3wJIpPnDCab1k+Q5sxSzPGoxr4cQhTmG70kRHiiCbR3mriXCi2TfwB6Z2iBvX5UhVh7dxiFXH05Cphji1iABMtACqYpOaU6GsSQmRjHPdwRdYj866gjEmJRBgyViqmre9DWsouG+wf3JQISkBwZfKAJjoPiJgvEhjSYgEpzoDwdOcF9G+4doC2Tf0ArZvGNvC1HtOTJKAqlBKuPmEISWcs5ASrgnnRIiNlXbl9g2wrwB2ytNcQ7uiUUqYfQQ1gl29tqP+v//sh9W5CxfVM+56kvpH3/V6tbW5bt00e+1XvEIn7J++872VtLWJcqqpnRVZOeTdfUoNrRIA4KTHN1lt6bQcKF6hN9EeX3V/xpeaV7nrq0pzVcNzbANgMx5ebr1VgmVJ5TOOc+VHGqziSmmbz7pykg8sDInzwGIUGI2wQUCpcdD5LNmMp4Fs7jlt94INSETndD3f3MpVW14bcsdxvLjPYynCfQ3k5CRewg2mt3KRO5xKCQKpfNt4b54NM2brcbJN5aRdscIlIZ4XpPIq86RUUOBQbuWuPr8DTOcBwIS9ip5vhloif3w+HhFOat+gP+P5vU9m3ZaTw1IIhfy5U6tOWJQSRtGm29jmhmp/MWUebG9xtagUeYtpGeSyC8K2ca2XbC8JOGfH9g15bKyYzzdX9ZrKdZeSS/H1JI/kOp637Oo8uLFPEaec/Sgh87UKricJ+yi+UgLdAMipYwbjxkWmS7drNCUrjibCiWbfgBeY2yGCuaUAMAGCaQjwIeA3Pf/svmgeqIdSggou1gJW7Sgz8PuhTPwsYzPyzoY8sJE/dnJIVW8EIFWNMtVV5fYi2jeAcl6oYG5d58QkiL46ZfuGRZkTB0HbN4Sdi1NRSqhgXjwb2TcAASFtbXRuxxAVrt8wx4iUEghFolkEDBO4t1ClUgKQTRZlLKk6gpqJf+mNv6sev3RFKx/86k/9iHr9N32NWl0x7J90fNHnf57++8P33DvjVjZRZiUTWSWYOgdX3h0/7aqkllQAW4HLpZaWc4H1FLkRTrSBAt5t4dpAZUvlE2oP/Cpg1yYuF9iwb0bDJjRMnrghTwGhNAAs2UTm9aUrP9LfA5pdRpUitx/xPFalhCWzAQ+LUtMv/Jw0YFtxIJtdbWnJSW07wLJvGPmVElhEGTtBAxY+wC6PZckdliJFKoC55C3Me/r5to2TvOsrj5Q1n1yRVXGAfATwFO4ptMnI1PNBS5F6CJNw5JJst1kOQEhykgpTlT3KnZMwTsJL/NhSxEXeyoKvkrU05V0vU0pIWWFIFWUoAFhgfWT7HqhsBMxvANMlILY8J/mAuzMnc4+THqUENlHG/nDhnD0eJ10Ej1bue8kluJpztthjtXgdRvxOao9i64u7z26pp9+46SEc0evJoiTbTBsdiiS2dGBbYXjWs5DbuLnmOQ0rbO1yzRUmJ5uNh3mLZt9AFrWrCo03vY/D9c6OpNHLDqx8g/XhImz6J8HbEPM49ArlOlSEAlCAhIMLFv/snVxVodVLVY+rnc0eTpUAzKJEXe0bQp4TJ+wbpqGU0MyJQcU6EvVqPifCWILjSRXz4trykjodkVSTagl73YG6fNjX77e3nVpjn28diXoVzolJot6sFZmScyLc1b5QObeJGpAS/uyv3qcXY9//hr+n2h7m4p133Ko6nSX10KPnZta+JlTh6npupbutcpULbDglWgUytnAUBRLBwh2VEuxS2o5qS9bVx+0tKgFtrUoXbGSTbWNu7FNAOkwyCKTr81EV/tSGvAD84e41u/IjK0suIXe4ZINl/vW208Qe3+2225d6BtX9PPWOyTAEj2IVp/hz1nkI8BOrqceVqzIwXTK+4Pl5Xuk84FKSk65mSsBsG5iOG4bgqYtS+TLQUkaUYVmKOCrd0/cTbXrYwK2jCSKlBIIEZ+ab5Pl4OanzUZqTniccz0lFes4xOcm8uDcni5GnkOAB4yWtzEORtwQ2N6OSqtLTxwtUjlz3katU4CIUQowJhTIrDO74wiW4utuQPYcol7zPtoBMZznPE69bV7efMopwVE5Sa1qK7GVvg/lEIaIMQXJl30vH741SApfM4/8etnHXEDNoIl6z7TB/0ewb8AJzu1PB5t6i+mcj0IiKQmUHnBcr2hbFwqEfcFUoVkjWnSByFAEVuGk/67jpxAopVb0bKyUszSUAUxXZZhHtG3AsCZHgVNc5Ed4hYrLeFOZFeCdFi5dFsXAYz4nhre0WRSkhaU8xrfWeL27azs6LD1090n/fsLUSz3MSot5BhWQSVMWCpR4Wis0ykmvMRZoXq4ygRrCHHz2nljsd9fS77mRtSm1tbKi9/cOZtK2J8sMpXWypXOUCG26wTVIhR0nlG5AIwBZyI5zYgBbZN7Cr0j0AcOokIuDSsyHPOQu1oZ6VgBYCwIJ7qY9nbsjTVYKWnJQAG5S8u4BcYaww7MAlxMoSWoqUDxCZc/COc1ZbEnLa3ApgfX7qusw2uogy2I+6XSRRhqqmlhFMfIFXcJK3Uuod/Jx0q6DIANjs/YTn+ygeJ2U5KXu2+ZYilNS6FQAuKyclALAtJ9ttM98kbG7sRLhsP/jsP7Ln8B/Dsm9IEgoldkGOnJSQpzRRxgqmY4V/mwSmSQBYMk6y5xuPMk/6uZIoDDiVEoqdB1/WcJykvgcFRLPtIyTzO2V9EOXs5LH8cRpOQHUl5Lakut+XEU61KBt5SwCk+yw9xm2g+10/G5Y2SAiFqnBfclWvsjnmsn6QKW81EUo0+wayqBsAE3J1elwROsVNaqwMxQrxRZFcDzGPx7kYZoVyHZQSIM5u2/2zYb5HIHJbopQQAWdp2esqABgBbjQl+4bFWQQNAlZdKRLrAc+JsMbHZT6+P07TwmGhbEgCJOqNrUTqPSfiswY5XQWADnGTZV588KrBSO8QqCRAIIEB5npJ8eU0iHpVkW1gPwbHqBAJXnWMoEgJsKBc0rK6LdaxB4dHan3Nbu/QRHXBkYAeb7CPmJWrPCltDJcHMN+XmpbKP4wk3snNbWITWQQAmxYXl8rPWZWObSAl3pkVuFR1mq3a0tqVlOqEFCRibWS7+jJbTS0CbnOQSmznsat3JME2GpyhKoDLrO7PJUvOJHiMq9JbxYkylp9ncpIAVOmclKl3+KXyzdNHKyUUyEmX4oQAENQED8vPtT1L39iz0FXp9n7k3kdzfZ56h5i8JVbvcFTgjriKE3bCEbzQje0bHABwWikh+kGZ46TfviH/3O26l7K5074GwZd2+NupKGO9Pv/Z1vM/Fzh1EWXSVemg5CKozKeCuw6iQNzkfKPbRZAMSHUeqPD3Xt20gPt67yQ1Zo4VroGIm8mt7veNERi0NYt9LSpdT7JIrg71BRvBg60E4/n+ui+5Kkf+y1nHSdec63ofaSLcaPYNZFE3ACZk/+yxfcMUSQnrBoC5ergYAEzVFeWuWEOp6gBzcSre2RWREm5G8CXyysa4dNBX3eOhzo3rJP7ZK+EoJQAJvYpYZPuGEMHcMu5liEAwqgdNc15EUsLVBSHq9SPPVnwvD1G1I0SCTJnRrXhOhLjpRHZeRKUEVGPkxvryuKynKluj2NKowvE5nhfZcq9NFImgRrAbr79OHXV76tKVq95jP/aJT6lev69uu/nsTNrWhCxaRaupU2C4uNqS+B0F2FrPQwKXbT1Ij8G2ERsUgR/xgWxmZZtLAtqyEc2tAI7bQFaucjej7d8jBoiizQV9PssJqc1sCgiZKnCZykm2eoezArhVXL0jAbaR/UhsyLdnXG1puxcS9Q7X9flVm27FiaSlCFmVTlT4y6qp/eG6P+n7IbVvcFaNctU7qAr/yHYA/HQNyUACWspsdniKMi77htHUchKW9mz7BivhqKUOeoYE55WpT7UE923LIE/xlRIKKsqUpt5h78tW9DcJYsN/KJsbASmibLUofXxZSgnM8yivyhHmZEtO8GAC2bxRkh57ScsB1lnd4xC7up891svtgiRAeinzTaYvBXOu4/cS1Qnu90i3i5pvfO8jTYQbzb4BP+CZqKqKa9rywEn53FACNzKnVRE6WRW6KABMtFEdYB4vilQ1fj/wsa6yIvT8Xm/iHQ0BmFtOrIpIK2iBUqlSQmwlUC34skgy1bjeDBHMres4hEQ9Y6E4nTH85NryYtk3BADezmMuTmVOjEgYVc6Lj+/31GA41ES3R68ZgsIdp2VKCfBs4r2riqxXtVLCos6LVUZQM/HzP+dZ+u83/8Hbvcf+t1/4db2J9PnPf+4MWtaEJLi2Ay5QOX0OMdhWBgCsq9PsAPAorra0gwplAMCmvZxj+NX9UpBIn5/4OZcUYOSwLQBw9CIwtm+wy3NTm9mmos97eXMO3mHOqr9sTgorgB1gm0S9g6rwH4NtRD8SqheyZ6KEakub3L+uSleFpZu5laPQP3bFCSTKeCxFqOsriQQ0T1GmJclJ/Wwzr06ouchtbgiCB1ZTt0H9SKmIzG35rCooS64/UUyZx0beYvalLyclUvV2SxEzXmNVATnnWPIJ/1c25/irueF8krlbNL44lXmUQOXIlpOtmLhFA/zEfCNQWeJXc/PVoiRKKK5+lACw1HnGJLi283uQ5EzBnMfdt4J22p+L7HfgktfizxNtYCslcNXDKGIFOXeXa83iJ8pY7BuY5/atHToSggejM23jpNu+QaYY1UQY0ewb8CPE6vLSqtMDrMTrDUbTV0pAAGZRSAmNfUPlgc9aVVWhpzeWNdEH1guXDnrxzx+KpKrlVaFmDAEF1MrB2oqAxdWlxasIHZMS6jUvhj0nzk49aHHsG8ZEj1CVrOBZA6C8rhGCUgIQVMG6BYa1x/d66rGdrt473FpZUqfXzTpREmOy3nBhCaiITy2SglCVERQp4e98/VfqjaGf/ZXfVO9634etx1y8fFX9wP/1E+ov3/0BtdzpqL/9mlfNvJ1NlFPd5qo8TAPRXIAIr09uPAoqcClv6SRwSSsl0ADwTCupLe0wBA9VAsGDDyRTNhgQ4wpgl1KC/fpsOW2u7YALbEsBCzL1Dtc1i5MCkmAb7UtdHCAqLycng0s68h0h8be2Kk7EsuTJqnTiWgRINBTYN3DHSad9w4R6h9Tmhvo5f5wytgM+qXyQax/ZVRZKII8VV0qw2DeIAGA6uPLmhnDkykkPAGz1e0f7D//19TkYx/iIDumc1HN3Sco8ImsUy8+hD8ckOJd6B6FIVDYx06dyZFG+YJEJPNXkelwT2A7QSgluoowq+Hxzq+JNG+zrAZrcwTuvqw1ctSQJIWAomrul9g0cMF8JCYV8kqtPKYFnhcEns6Tb5SeHsk7dREDR7Bvwo24VoZNS1cPgSEWxfcPSDACYBbFvQGCjEzAAU/cNbFQlwe8764D129ltl1S1rCo0DPuGagGYlQXJ3WQMAiY4laMeNAzOkqw3Q/WgnUUh6iG5psKKctf6DO90iCSZsgLHzarmRAh4N48tHHa76sGYpLfGevenyXqNUsIizYtVhhm5A4mn3HmH+t7v+DvqP/7ML6s3/JMfUk+/6061t7+vf/dPf+g/qMfOP64+/sn71CBaEP/A93y7uvnsDRW3uom8G/JUZZs+Rwow4wJE4+tTFcDlSeWDLHlv4PClJgBgyfdQRS0HbHK7TK90/XlzBUdVOBMAtvwcX74mfKmJc7RK8L3ngekOS5FUZbnEBkN5qtJlYFvLCbZRZBGKZOMCxmzX5zzcXqn8vBXAjn4052FWbVKKE6kKYJrg4SDKCN4BWTnpIK2k+5Lbj+OqUZdSQrGcTAKXBgQlPlvQmsU8W/5wEUZsFbRcgodrvsHrcp5vknCUsrlxzWFF5hzsb9/jjQoEFBlFkysm5u4sOJgnROodBACL5C3X+aj5SkKU0cezCEcuRRmL8gVB3LN82nkfuWpJVE7C+Pi6592csG+giTKKJHjkv77IvsHybIvGNweYz7Uc0O3jqLm4ctLWjyILK94ayLWushHAuOsH3zjJVUrQbeQQfqxKCQ77BgE5tIlwotk34EeI8r5FAzeBR5EH7WqntVikhEWzbwgYSEQ7g8WRqq7QP3t7VZMQzu321HM04HWsq0NzkRJCsG+Ixoqq8hqVEhZJprofbUrUbV6cnBOHlUrKk0oJU50TF1M9aJpEj7wB72FAeAJQF+aNLYOZ13ZOXI0IQVUFkPU+e/lQndvpqauRUsjtp2XKQRgbK1XbN1Sf10h67nKropuoDykB4tte9xp16uS2+rH/+gvqbz75mfjnf/iOd8abb9tbm+oHvvvb1Fe/8qUVtrQJV3CrqZ0VWTkrgL0SrVyvdKrCPyFLPmgd26vziDaIAGB2db8D2ChQle73nbfbBNg95y0AEZI7or8p0IcGLmUewLxqar7Eu0gq3wESicEuh1KCz3KAtG/g1wAXf7YtOckFHH0gletZ4JwnVkGJc5IAiYj7ybWPcLVBpJSQej651ab4Wepmyqrr7X2BfQjPOVXlTgFlkqpVbj+6zklVU7OBW891eUoJY8DfXZVuzweKHOIi/9nC15XYRNOGlt++QZiT5ah30Oo8Y8UJxzhpaYRIUYZZ4u9UlLGcgrLmsX62FKl8et562o1biXZl5zDoA/jRuE5CTt6S5a1r/ZDv+tEZyFvJtm9gW5oJ527SgsQeRdpA5iRTMcr37LCVEgq8X/jWsxLlrSbCiWbfgBchArlFwyhxmXHwaHBcqXwuBcBMkyiBAMxud0DaVtXTP1sFCwbWuSJ0oiq0QgAG/bOhIhTi4WtHevY+vd5RW6uduQJfVESoqtS+IQZf6p27dvuGcOaMsuZ5UwygVLcfGCkBgcYZ2DeAUgK8U8C7RZ0jZPUgnBc1KaHG8yKsPasm6kHcHM2Lj+121cV9Q9K7Q0jSC4WsN7Y0qq5PVxaQrFdlBEdKgHjtV7xCvfKlL1F//OfvUh/86CfU45cuq+Pjobr+utPqec9+uvpbX/piTUxoIswQyWkzz8Gt7NOfdRwm80q3b2AmgcvugL8RLvFyjs7Cl8p3gm2TZxH1peNecgFY0r4hJUtOV1tSHt9SxYcSVCdUAfUO4neiakcHADzZj0T7C1b3c+W0ndWWNglopjS7r9qzqLy5TZaclsqnQKLiOcEFItMAqiYcSSqASaUEfm5TFfPwfKN1A5mTVHU/k1wSn4NZlc61wYjtWVjS7O4b6bpu+jzWZztFlKGUEmiiDL8q3bSXr5RAnWeCUChS73AryhR9tpZTSgnWynpqvhHMI1zg1KkoYyFHUBZHts+qUqTy7c82Zy525ZOEiMfdZqFAZdtYLVKUcRAKILfZ5I4C86bTvkFkF8Rog48ok2oIlxjhI4/B3IubEOUosWXb5V7PNvYN8xzNvoE/Qt20LhIwHsFG8EF/GJzEagzATHFTdWt1KV5fAzEBSQp1jZABGATpF0UpYbVCsPPmhEw1rI/G1g3rucEXAM2qIvagUkLV9g1A+lkEILfO9g16TlxeUvu9Y/2snlRqodSDNleWYlIGzImn1pcXhKgXJrkG1mfXEsB9HQPXnlWTYpGs99DVQ70mhLEN58q89g1VKyVUqWSziGS9KiNIUgLExsa6+ppXvkz/aWK+grv56QJj05vhIql8x+YnFyAab2C2HF7pbdVqHZOVbbbtdAmQTsntyyrbLLLkbAloRmUZV3Lf8kWgG+GnK16wrbhUPrtS0SmVP3mOtki9gwZ3qGp8sg2KBoDN+QjLAaINsqr4EnLSAtBo/2fmnO9UShBUU9ufbSTKjIHLaZGOqIps6zmZOckF0m2fnbymAIAd0eMkj9xR9Pq846Al3GdbSvBw3UXu86XHe8vP0ScwtmchiC90Tkqr0v05Sas1RDNfRinBf338PDnflKAyBH0JCkfeqvRWCdZPjONcJCZbX3CfC4o0NU3bgYxUfvT/VtWJaB7whaRy3Wnf0CpmBaJcSgmgCEGMgeL1h1YdsLehHEWZgvONVeWISbryjCx6nOhzz8PJyWy7zBhr/2xj3zD/0ewbuAPV6eoWAI4CKSG0SrxZSFXDOHdiraOuHg7UtcN6kxJgPI83qgMEErEiGcAX35pgngOfsyqrQm/cWtEzOQCvu93jmJRwW46qUARfILMO+0MNai6aLUlSzQWA4/V2ONX1U1dKqOG8CGAakhJCBG+nKclu5sRldeWwry0cFoaUEOCcmLQ1Co00Op05sdpx8/qtlZiQA3HLidXcSjA4L1a1ru4HpJRQ59wNKcKkVTUx98GqXPWBRJlqS961KRBcuonrqgCGwCpgSWWbRN5dsastHZVtFoAFNr4l9ji0By9XlpxSOjBVq2M5bYcsOWXfUHo1tYMoY6kAlqh3uDbDJQCs7TzwUpWUd6e90u39KKka5WSlv9oy2wa2x7jj+vDdeZL7I48KyljiXWLPIpF454YBY3kED+73t322UCWxIixF2p6qdGJ8kY2TJSjzWMYoLunIB/bpviwCpKN6R7RpRNnWUM+G2B6GeQzVhvQ5dE4KyFsuZR5uTsKJKHsW7EfSmoWYb6TPNmdD2qlyZJu7mffSp1Y1C9sBHDdbhVSWeP2oz0nYlJDzjUgpwd4GrCbzjblsIJ0gqRiCqp3cwSdXlGC9ZFnXsq2XyrIUIdbW6bC1y0/EK3fubqKJkKJuMtWhV6jHVaFTBm8XxUNbEwCjf4dY3YxVdTDvIFBUxwihKhTe0a/fXNH/fmznSD1y7Si3VDWs45BgcVhZVSgCMK3K5gbY01okqeqxfUN4Y0l5VjLHQc6J0x47Tq6Zmttrh31V94jVgwIl14zH1vqOK7PKa1/AWHbD1lgZIY9yEMb6ctVzYjhKCYsyJ1Yd9XxDbaLS4FZTu+W0Jzce9QYjG9hwVVvyACIf2AZ/xrLkRLWl9fr8jU99Wk5lm6OC1PYdNIuOufnrqm7jAsm6jcRJNHDJkSW3nXNqfspMpQQBcKr7qVWGfYP9e0zKklNV6Q77BtbVx8cXr7acPIl5vrnPRHFZ8iFxHvg8tCUJptuqvClww1WN76soz5+TKaKMoATYCdAIKnBtcpewaZQkd9jBNru1i6uCPHdVugNsg1tsU0rgeaV7lBLYijL2vkgq87jmQldOciuZsb2+oIgOtup4rd5RglS+SD2DmDP0OJlQSiAr60uoSueEW+XIBqarUnJyGrYD6dPh/xdVOSps32CZb0TqRI4+gNyG3/n60jdvJQmjFMnVOk4K1mCu8Z69nrR8DWpst5+7VdxShHUle7ugr1yKVSXzCZtoIqgItZKu7gDMNJUSILZWqvX+nVUkgf4QgUSo/sVmhUaQmce89sVNkSz1R8/t6f6G/r8xAcjkkqqu6BnqR2ufKsdoVEtYBKlqWBviur1K0Gvqc2Jg41BvMJrJ2HFyvbMQRL1JpYQwIb1QSaN1A9Axbto2ZD2IO07LSXppW6OqyCS4zqgyrxv7hgWxb/jBf/+TpZwHNp5+6Ae+u5RzNVFOcEEil/97Viq/HOnkMqodjSx5ywvOUJvxEtlgXj+6pPKz30Fv/gpAKqoR3O/i4laAnPZkhf9oOlL5XADEUS2XBickVhz6eOLnIllwom2n15fjl3FnVbqtXRJyhUNenV9tmb2f+jliynn7wDYuKE+dxxBlEsAlE+iS5KStojxfTk6egwvsjD/rUO8QjLe20FXpHBuMwgA0z/feWZWuVXHSRBkuSObOSXYlMZEPsTJP9CXNs8Jvh0TyXx/POJa0b7BUx0uVGqgWyMYp+8+hkmDSmoWYb6ytkpAruOodHpWjDHmLq5SgSlNKYIPpqW/iyicu6YjJyzTnFFjtlKEEI+1LPrmDmm9CIcpkc5I3vvjVO2CT+KOP7apnnN2kq7oJBbN02NrlUqwSKbE0UUk0+wbFItRKuvoDMK2ZbPpXVdE2641/GP9D9LzXXu6dtrESGRyrE+E65BaKUMBc8M+G9cLHz+3q/7/15FruvNhYaasrh9X5Z8cATIV9uhLl7iJIVSfX7HVUEELJ/EVXD7q6CKSEQMZj//qsvuuTWOkmgHUJzItKmTnx9hzKQcEoJQxns37mEPUapYTZRGUr5t9+6zvISnmuXCt6tjWkhLBCVslEnyO5eag3a1UZEtACUgABwE6ClhQ4Q0vliwBgLrBBgm02ud3WTMF010Yw+B2BH6a+DqmUUJLCgCpYJZjakJflEp2TIiCZOM9dN2zqP67KRdIGg1lJrc/BraR29qNdApov512GBDQ9zwBJBtmRTjC9VQbpyX+MK8/SfSkC8x1oG7ci2yUVn7RmoavSKal8IQDNUpTxKPMISHPp67su77pu+jy2wBfNlZxKCVxSQEwoYPrOu5USco7TDtITJW1vPQ/xPWDzaXkJN7bp+cZuKSIjynAJhZJxUkKE81Wl85QS+LYD6eIqfKZIexbvWWWV6xSRinq2y1JZMvN3WZYDLpKrfZwsg6zLJ8oQfVmCwgHM3QA6vflj59XZ7dvJikd2Tlra5VRiEeZbE7OPZt+gWIRYXV5qNVNAAAyM+bMCYLDKu87yyJMb/+GCiKudJUNKqOm9CKnC/OaoIhQFNG4rBMBU+wyF4Au/Gr1jLgIAk3z/qeO8iHNiaOMQztFTVw9aXQz1IIhBNC+GSjpd6ywFmYvTIYZUvzZBy4azWytqc6Uzx3PisPI+xXEqpHeLOkdlpISv+vIvJTeW3vHO96jdvX21urKs7n7qk9XZG87on5+/eFn9zSfvU0fdnjqxvam+9MUvnHGrm+AGC9hwgKGFpPJHvmpLPrBhO42RJW95NpEJqXwBAExcXrTBbwNHJB7ArnspkSWnvsffft4tE+2yEjwIUoOpKvReHs9SXCo/A7YJfamJXuACRBi+DXnKQsBVSc22NGEe57L2oCuAuSCZKkECms7Jb3/R7eq6jWU3waOgxPv4GB4ATIPp2ZwUAbfkNSXkBrrCfyVimVJgKjVOSkgReH5f6HMql1JC+pz8qnTXfZQAoHYg3fxsUr2D3w4JKYAbFJHJVh0vU4JxEApLUEu66/qNGCho5VHmKQnIjo9xEC3sczevDZyqdK5SAtuux6KU4LaH4ZIrCto32JR5mESh8eeLETz4JBXqO9AWVjJCIXe+UQKVI976wWsp0m6pC3s93Zeu/uR+Xz3uSKzdBMpbTVQTzb5Bsagj+DKx6R3QxiGAjDieTBuAiTePa1yJOOEBHyj4EqtWHIaVi2XGIGGhUTU55KyuCB3HHYX8s5cq9s+OgMVK7RsWB4AJXXWlrOr00O7lmKg33T4fS8/Xe06E93gckqsej31KTqHl4jTGkxDW2EDO+5bPvUWdifax53dOrJ78uEhz4kKTEv7dP/9e68//6Q/9B7W3f6C+41teq77tda9VW5sbE7/fPzhUP/erb1I/9z/fpPqDgfqRH/w/ZtTiJrghk3gnzpHaPCwLpOJ6vps22AHgpFKCE9iwtssuvW29PhvI8knlt3J5ANukuKchJR2fT8tj29tB+ymrwqSAyXO6iDI2+wbm9R19gAARKr8UBYkoX+qhE2zjfxFuP9LV/ZRXOvP6HoCIZU3i6EckJGC7RpLKVabEOx7BBqpcfanKV+8QkxsYSglkVXrBqlUzV3AqZ31gW5oowwTAfEoJzOfLpcwD4Sd4EM83ALAlVlKbNtDEiHR1vAt4pz5f1JqFUu+44/R405JU76AAYIeNSvYc+hMFVY7sOckaXzyHwDjJecnyWZNMtivbBtIepgTrJ1sbSDWWNAmuLZm73QdyCB4SQgCcKr0WgM/b10B88pgmZjKOcimS2L6HiFDo6APoxyuHff1vV39yc8I2TrrnvPLJW02UG82+QbEAu7w6RoiexTH5cQabqmOZ3XC+f103qecVDCwr+sPx96qaHLK12lHbq0tqt2tAk9tOFlBKiO5b5UoJFds3QHQTxJPaE5wCABGnOyeGBcr3otyaNlEPx+G6z4lJAneo82Ks2hFYLpYZg2heDEEpAeKpkXJyGetKUIEA0tysvxsq9kx7rODkLq7n6xyjAPY/gjI8+43f/SP1h+94p/qub/0m9YbXf6P1mM2NdfW93/EtamV5Wf23X/g19cLnPUt93Vd+2czb2oQ72NV1TKUEmUytpxqqIGinwbZoIZtLAloEZDM2sh0gBClLLqjmdsvdcjej/deTV66Wbztgq66jziEDbumcBIAIzgJ55FtTckAiCgSkgHRZTnItRejnDGxY0qeQEGVcl4cXTM7igV+5SiklOHJSFX+2Js5JkXVGo2LqHQ7VDRdYSrXRJgWJL4YUmOqSJZcAwJx76SQc6by2gW2qcE6ylWmIfICcNhvbPoKHQwmlxHF6fE6JXZAqXJUusbnRbfT8nsxJ6tkWExoLqhxZ1jES9Q6fUsIB80R8haERe66Yln0DOycjog6bCOj4PeTlw9cO1f1XDtULbj+Z6xxxu1r2/KHnbqmCmCqulJBbecs9TgLpCMOtlKDyE2Vcc55IeauJUKLZN+BHXQGYuJopoKrIpEc8jNPTjKor2mYNiIdaEToJhtXzXiB4DvP1tPOa65+92z3QVaEbK+Y5mMdnKARP8kWqCkUQsa5zYojqQUmgEa1CphVVP8+zHjdCzmUkfB30wsrFupHKpjEf4Hs0kHtmTkqIchvnpWrtG+q/OTAI4PEMamX/W7//Nr3I/bvf8FXeY+EYOPZNb/mTmbStCX5wH12XR3N68xDn2qLgCiWPK9lEBXb2ybWOx3LAUW1ZApCdDBc4bq9KL6eaW1KVztlGpitX7RvJIjCdvSHvsRSZQlU6rmFYHt8cpQRxVbpQXr1otSWhlCAhyhS2b2B+X+oew3ez9YMEJIJgg+k2SW/LOSTqHa7riwg3hFT88247ob7sqddH15FVpUvJW5yOdIFONqCLDeZ7nkn2OEk9n62WOrHWiV/snDY3JHnLe3lzLO8wug1Wy4Hic25ckV6S5L4L4B+S840EAOaSt9xV6ek9Bm41twt8lVgG+c4z2S6/JYqU0Giq+1vF7RvS7Y3efMoieNxzbk998vG9UiwHTLssBA/L8dwxypxDYHPjUosqsJ709SOGXymBt57MKiXQz6VIMaqJYKLZN+BHlYDXTMC0gCp8e9Em5iyqvMZKCXUHYMLf+F9bDhMMLCtw3RjKPbg1Ukd4QkIFbR6fIawgr9S+YYH8s9GGpLbqQVid3g/VvmHapIQFmRMTih+c96Iq4tS6UZ9FJbw6xjysTaQB+YTkpiqeo3isCMC+YRGUEo4D2P8ISinhsw8+rLa2NrQagi/gmM3Ndf2ZJsIKDnDqq/pLbx6ON2vpjW5eBXBxf+snn9nQf/xKCfmltGX9SJM7DMCSPZ5X2YbH2xvRYQIb+hyK6/luA7rsG8lcqfz4eCZw6ZbTnry+pCqd6gXoX7bHNwMkoqvSiX4UypIXVUrQ50g9xGUCGzywzV8h61JwMICbpcKfTZyKMoIFrtAWEulzlEEmgDD5yDoNeZ/1ZuzS9KvSuZYipjqbBoDzKyW4r8/OSQeQ/v1fcqd3DqPaoavCSyD8JINsg9VygD/nmnPbfw7pxJ1vRoWIFZRdkEzejK2U4JxvUn3JJJD5SBFcgof+vuy13Kj0dRgXSDfndNg3pE6C7YI2L3m+IEWKTBI8Ht3pqrPbK972+QKPsVphUOtJETGSM+fxycLS9aRPcQI3U91rIR5Z19Yu1/rFRZJuItxo9g34EWolXR0rfGcFvkxWhYbz/acRg6hPQ85jBMP2e/UEw+KK/kDAlxc/8bR+13zuLdtz/QyF0K8rCwTALIp9Q0hz4iTQOBulBCD7wPsEvl/UlVwTynhsizObK/GcCOA23ps6qjh1AlZxyrueOejDfZv9OILqBLNYQ/veLWC+gD91nS8guPur04ygnp7hcKR29/bVtZ1d77FwzN7+gf5ME2EFt7rOVS2X3sDEjUSeNze98YgAERdc8H0P3MBNn89VtSoB0lVRYEMDLFmQqIzKWX5VOq9qVINXQ4JYQYLpvOBXfDrktFOb4RJfauhwZzV1iw9c+r4G+r1bc3JKUv3Wc5IAsE2WXABsODqSLfEukICmga6iHt+8oIhM+LNWEYWBgvmI58mt3uGyb5AoyrCr0pVIvaM0pQTmOMmJPKQjG9mrCAAMC0e7egf1bAtyqaR+LJaTxYgybADYpShTsC9LmbslhEIpAMx9thQvKJKgvbp/fH7WuT0ED9hsKau630aMtJFLzfECQiEXzHcQHSjlLa56h6sj0aYG5Ji99g3M9eRIRJRp7BvmMZp9A35U7QE/7QpflIZeJPAlCYQf9Y9rrfaCVaGh+Dbb4nRUFXr5oF/vitBAwBcADV5y52mtYDrPldXjfm2UEmbS33UnJaBSwiAsclSsINRpzYSUUXe1hLHtSxjjMTVGb68aIsKl/frNi7DmmgdyyLzZoMxyDU1F8tohvV9MIxpSQiqe+uQn6A2nn/rFX/d23k/90hv1ZsRdT3rCVG5OE8WCLxPL28TFzVquxzcVOL7wAVD3MWNbiXQbyrEcKAxsFALb/NWWfAnoYjL1ReS0Y5CK2QZ3X7asvtTeNnBAIracNd+XOtMGmy+1xL6hgJ+zH9hgXN/z/QFMZ4NtXKIMBXQJFSJyg20OEBp/n7w+XymBHl/Y5A6BegdVlU6Dbbzgjy9u8lb6HJKcVCURPPhgm6UdBUlH5v7wspLqyyLP9vjzrcLzjW5jznmTqox3KW0Um/OmME561i7Ylx94+JoGMvKex9UuyuIGQgPv/tOKCF7UmGG7F5Bj+v6zyDr+OQfCVVxWdLynlH1EQLpo7uYTZbg2Vi5rFojttY56+o2bejPRSfBgfl87UcZh3yBQvmoinGj2DfhRtyouDKyk6gZU4YsVqrOQnl2PJHZhXxxl4OsY/TmqCr180FO1BnMDvgfzppQA646QpKpDq66fpupKfS2NIhuZwNRzZgU0wjspEjPqrCA0JuqFncdnNsy8eKmG86IudI3+XbfxpEqy3izVxqiAvXAkroX0fjGNCGHaD+oN9Ru/5pV6cfarb/p99S//759UDz16LnPMw4+dVz/4739S/epvvkVv0n3T176ykrY2QQe/+sxRlW7ZDGdXCTo20nEDmSvxntsDmKxaFQA0pYBtNo9vvnSyK/iVqxIPYNvnKfsGoeoEs5raDraZbJiwFJESXBy/Z9s3sIgydE6SsuSSastWwWpLC4gNXVlGBbBIKp9zLQJwoe4Dm/BTkiy5/n3m+sXHF668O1cJxS33zz/efn3eca7q7ELzDaOSuixrFryW7d7AT2yWImUp46TbwLWQ4D4T+HnffOMDDvHX3nGyTSmQOGxu2DnJVwdyVqUXGF9cdxP78o/uvagu7PVKyUmrfQPRCZJ1kGScFI/Vw3IIHhDO6n6mSoFpV3bso9U7BHZg5gPFrZcy4ySfCOfqx+3Vjvrm593iJXG58srXLkpxAttWXzivvtHsG/CjrlWhIYJpSA7Atk0zAJDAvY3FqAoNN4/PbET+2Qd9NrF7LsHcwEGwvKQEF0l3mmSbGNRq7Btma99QszzGWI2UCEKy4pgk38zS1qi+c+I8WBpBnNlcrq1SQvJ9NWQVp3ki68G7O5JQq1RKSK7h666UcBzAerWY3lXJ8ZVf9iXq3e//iPrtt75D/e4f/an+c9ONZ9SN15/Rv79w8ZI6d+FSPLl91Zd/qf5ME2EFF0yXV2RxK1dN9Te1UcmupmYAwPjrdLuoPuBW55lzjor3o4UQwAXbqIrRJLBRplICLUvuqABmnJdbOeuUgLacQ+RL7dlIl/VlK58vNZWTQvUOVUpOpo5vc73SGQAwmxTAI8rY7gt1H3QFMPN7qMKy5OZ6aUUZvlICDZxiPppjGAAQJx+UtB/5ncRXlLH/zg6mC3KSAQDzzlNEKYEmb3FIRxKiDKl8QYKWqnhORiRGOJdrH2k8Vru/jCZC2Z7tMogyvMPcyjyWvKbGI+naAcbJnaOBOhwMvbnJzUmJfYNsDcIL19xdRPnCnNL9fIM0pa+6X/JsZQmFDvsGAeGHZ2FFr1FtYx1X/Yt7L32qUVyCh61drnmfO943EVY0+wb8qBuQGLR9Q6yUMP0NVRjToKJtr3dsKmPXVc2r9MPd+D+x1onJ8deOBuq6iKRQlwjNvqF0C5TBUK+/bATvaQUCta3K7RuiitCAxtGpkxJqlscZIO14NPN8dvU5rrFnQdaDZ/rKYb1JCfNgaZRUEKqjUgLOiTB0w/trnaIqYk+STFWlehC+X+yr49rPi4MANkCCIiVA/F//7HvU059yp/qpX/p1dW1nTz12/qL+k4wT25vqO//eN6q/8/VfWVk7m3AFt5qa3swsZjvAky4uBwBuWTdxKXUASdWquUBRCWgLuUO11KCEau4Om9zB240mJcEp2wEBaGjOX0ACOj5HEgCe/F1RkKgs24Gx1YmlSrCEnGQ92y4VFJtXOlMpgQMQlQHa+RQcnEooTEiyVViWPNsGLinC1wZcWMNa22f9x1XvsFUlm5dl+/HsCmA2eYu+N5TvfBm+9zonWeMtt7qeyEmSdMQH2yQAMKlqUxg49eTkcOR88bPZmthCE6GsnydAbCa5A6MIwcS0w/J8M1VtfPMEEDwe3zebA86qdLbiA6EW5TieRzCVEJOouZtWvuAqRvnWk7ecWPMqThSxRinDvoFLjHCRFG1jlLF/Ko8I6Fufsy1FLO2i1KLG37v6l/Im5NHsG/Ai9Gq6vIHyrrBB71sf1FV6FjaPgZRQawAmBsSrv7+uNd3p9WW9vgILh9qREuZELlwaaxH4At8OiD0bK+b/ZzlWQJ9y1kjTikWpCE2OJbWdE1Ne6JjfVUYSaJzF+BGrn9Q4n+fB0gji+mgevFhDpQRUcKrjWFKVfUNvMCZ6VN2vsT1cjccRiIaUQMS3fP1Xqm/46i9Xf/XeD6l77v20unzlmv75dadPqmc+7SnqC57/XLW6alhXTYQXvspRjuyrjRDABVeoDVwMWKuxqqm5Eu+w+Zkaq5xS+YJqS1Y/+qTyc5M7PF7KM1NKcPWlBCRqlSqVL/OldndC2WC67XtQn+USAsw5JP3oqLZMVwCDlHoJRBlTlV6elDWl4EC1g+2vXZYseeb6MtsDapzE9xvY4PUtCDmAGwWm0lXpMsl/LthGKiVY+pI/3/hBS46EIhtsI9pFk4745AolIsqMmPONoALZMefCeSAvYZx0rf64l6LGvXLsGyTqHa41EI/cY72+cuck3hN3VbriA+mpm+x6LiS2A9xNWtfcbVcZ4ILp7jn37pu29HXBCsNxkqkoJUhsMDRZmHGUcz1pVTniznm863OUZbhrIK5aFJ4zgEKBJnJGs2/gj6o396YtVQ0Ba631djgAzKyqvKr0/p1VDKLFT/hVoYaUAFLVT7le1SrqCsDA94FnFSrL4RmaKSlhEJZMdd29sxfBvgHyGfej4H4GQUoYjAH0WSg34Jx4sABzYujjcVIpgavAOm9jSejrknmyb0javFSdKyFa4UwjGlKCI1ZWltWXvuQF+k8T8xWjghXArsrVMiR/uXLaXMUHG0BDVq2KAeASpPJzkjvMsSVU9zMBGgq8IjfkuSoF/kMS57QDFVT1LdeX2py7HKUElVdOm7ifLlUD2/X5lbP8cxhFAs71y1GcUGzCj/3ZMt7UlspVgXIGu3LWZd+QkXcXgvnUNaU2N8x8TL+MUMSraViKOL3SbVL5XPUOzzyhCUf98p5tk2PZCmBFPd+CcZJPlKEsJPLbBY3b4CIUMuxZol9zcpL8Dqq4fQObPEadg3q+uUosnn7E8Felt/ID6cRnp2Hf0BaMk2LbAUcjnnXTtvaPdvYjE5B3zd1WRRnLWEC2gZm7bls1y3qSq5TAJGbwlBJ468nsOOm2b2g4CfMdzb6BO+q4aYoS3Hq9OhrpaibcSK0yZg004nc+mPHmcSXVzYEDiaiOcOmghlWhNQdgeseDmQMw3Rmrqix6RegEwSlwMDdvwDoXSCaQy6HczyTQWGdAdZYBJKp5GI9BPQgeNZjDd7vH2uaoLjEPCk55Y6MqpYRA5sQJsl4g4+i0IoSvV/3dbqKWwZZ4d4FEOWXmfVXQbPuGApWrTvsG/ynNObg2GM5+LCBL7gFuZTYYKnd1PQVUaZCI7QktkC62nQN/b2kD15fap97BYqlNASSSyauXUW1psW/gVq16nsmlsp9ti4ID/r9dvYP3PfSxrKPcOWkdI5lAlU+aXRM8SrIdiK1OMm2ggPTyLUVcAJ7ddoBvD+MaJ9kkOKYKiY3wQ41P43FSlQoAk+odlvFBYg/jy0lOX+Jz4RsnKfAV+qrwOMnsTKd9g83mhp2TfvKWPl+khkKeR2BDkc3JEfmCIVrLSXLSdg5KIUg0Vrt7wZeX3PmGyjNq7p4GodBpvUTYqpV5L31qR1xLD2qcpIl4jX1DE/WO0Kvp6lTNNGugEatCjwb1rQrFKv3QN//PbJiqULBvqO09CJwYMlf+2REaAN7VVQZeHwlVdY5Bze0bQryfCOrNjpSwAOpBc2LfAO91QEyAuBRZR9Yl+nOi4DRXSgnxWFF9XuN4VXdSwnEA9pX1oSoFEkfdrvrZX/lN9da3/6V67MJFdXJ7S73khc9T3/3tr1NnbzijFiH4YL6nwj9vFXBJIBG7ctXSriG5ES7Y+JRUtpFe6ZScNhPMLwgQRWcqJEtO5ZPUl5oHphMS0BHGZM9JVYoVBjcnuSBR+ntQhAKjBqBmV21JARu8U3uJMtCPH3l0R91+ej1eBGfbwCNX2BQcYgCYyklVdlU6lZN2z3kVtdm3lvPlEpcow1VKwHYl9wConJRUhPvIUxxw3nY/uGO175AOV3FCNE5mQUsIyneeN+dwRxea4EE92xKlBFdwiHDc+ZUC+Em7IIHlgDme04Yc4ySTUOibu7Giz12VLlCLsgLpMjsX6ljecYTyhWOsZpOOPG3wEbi4YxSVlzSxonzrJbdSAkXeKo9QqYmF0UZbMQUx2zhJ57NkHdREE/O4b1BrAKbT1ioBi1oVurYAVaHzUqV/psZKCTEIBr5NNYsxsaciqeqEDU3V9g2wdpqFxH7VYwmo7NQ1YuWLQIh6mOdJu6VZAKpHtZ4T58O+AW2NYE68eNBTd57ZUHWJeVFwmiui3nEYlkaLZGs0CGADJChSwrd/3w+KPwObXD/7Ez+kQohut6e+/fv+lfrIxz+pbjhzWr30JS9Uj567oN78B29Xf/6u96lf+W8/om6/5SZV92CDRCQAbLarc1cJ+uS02SARdxPXBgC7vNK9p3Sew3ZOt+JEK1cbOFL5ZYGW7spVutJRVk3NvJdWr3R7TvF9qf1WGJcP+uotH7+gvuLuGwuDRDawgqxKF8oWs7zSXbLklpw0XunMXPI825CTf3rfZfXyu87QpAS2DYUDALbaDjArgAUdTsqSE/1ofucHmH1tEBFlPJ05JktMtgv+1644IbFvYBJMHIAuSd7iNaE89Q7WtbLPq4t4JalklgDAQ8mzLSA9FSVv8Z9t83d68422b5iC9ZJLUYZQQmGKbrCUEm7cWvH2JzcnrfMN8WkuACxS73ASZVoF5m7/MfiMU16ZIqUEi22MUe/gr6GpKLyeJMnC5aksQW66NhElz7ddwYw6nqd61URY0ewb8KOOm6ahVjPF1c8zA2CaqtBQ4rpN89559bCv11dJu6zagLk1HEvGFiiLCcAkVV0AaJvV2FVFDGqcx6HKjs86z6sCVKuxDqgevOUpCB2oS/v1IusN5kTBqdi6siqlhOrzeiUwxZlpRUNKSMV7P3QPq+NwU4zaAKwqfvqX36gJCc995tPUz/zYv1YbG+v657/4a7+tfuy//oL6Vz/yX9TP/6cfVnWO2NuacSwln0tVIuvqTK5UfilgOr9KkC+VL5TbZZE7XFL5drCNVTfLkMrnes5zggLPSOliQT6oorLkoxIAP+UG0z97+UBd9CzWuLXMpKWIFUiXyZKzgVOXVL6tmppzfc/9hpw86h/rSge3xze3ut6mlBCNcSRIxKwALixLbq/uh2ADly2/6kQZ431MlrDlpGUhL7Fv8FWFx+d0gGd2MJ3pe88gb3HJHZx3Gt2u1PnwfykrjLItRSiCB5WTI+Z6jZOTfqUEPpnQrt7hsm/wntZ5Dvuz7SLK2AiFXPIWff2t1Y56we0ndV66lRKYZD7LmKPJhC4AuHSiDN/mJj6+JGIEgg6wP2Tbx+UC8iTJtSQ7ME4415O2dbnEwopxfbOuHJZE3hqx530JEa6JcKLZN+BHnatCEYDBzczFBWDC+P6LbN+wvdrRbQQAH4gJZzaNnUMdYl7uwTwRe2Yta08F3FMkc0KbcEytNSmhhnmctW8IY06YNdBYFaA6y5gX+wYInAcv1czWaF4UnIqsK0ElYJYES1QlCGEOWhylBFV5BKWU8F3f+k3O3+/u7auP/s2n1IfvuVedOrGtvvFrvlwtLZkHpuro9/vqf//W7+t//4vv+wcxIQHi9d/0Nep3/vBP1fs+dI+659771DOf9mRV+2CCK9ZNZAJgEVUJlgSm8zY/7cCldSNcAFqWYoNhldvlgm0lkTsEKgVWkoqDEMCtwJVVWwqIEQIrDJ9SwsPXjrxgGhsksslpk2oP5at32ECqiXNk2iBQSlDufjyMZlYf2MYHiAgAWEAgyFy/FFlyu5S2qUJm0Y4KV/hTBDI2eUt/BwIAFlStssZpJ3nLZoVRzrOt55sSgGSXggOe3ia36VItsZ2j/JwUWIr4bG4YKkfcZwuPMc93yy+VLyLKMAFgZ1W6/fnmAenufoSXrK+8+0atzOPqTwkJLn0Wn30D79niJyXVNxS5VLaedPcC5jX0pW2TU06MHE3HvoE7TpNEmWw7dBsYkx73uQS7G9+8w10DWW0wyJyUKW81EUY0+wb8qDUAE9jG4aztGzYWoSp0YvM/3MEa1hZgjXV+r6flqutEShgsAAAz86rQ2L6h2j6FNRCMV1DUEUp1/dSrm+cAzC06J87ajoSK7ozzfCGUEtC+YQ7y+Hq0NaqZUkKsVjEH90AaaxGxB58jKGiZLYGp+j4NTXFmWtEoJQg3FzDe/YGPqP/jB39EfeaBh9V/+KF/qkKID370E2p370DdfutN6hlPfVLm91/2JV+gPnnf/erP/uq9tSYlxCBVQQ9gc46cVYKeKmguSITXzF/ZZjsfX8qa+9Ltkt+3yaOz5bQ9IBkbbGNWCRowlfg8UQE8DVlyu31DGcQId1/udo/jjSUquKlj96WmK6n5Uvn860sloJkp6c1JDDd4KVBBIYgRZOUqE2yTEWV4VenY5jIqgFkAsGBfkFTvsI6TAqKMAGyjwGI7UYa3SPPNN3zyFu+LWEFLxxg7lap0gvhCKfNgGzkrAx/BY7c7UJ+5dKCeRHoScu08kMCT/jSdk2yiDDsnpVXpfBCac30f8aiwXZDDvoE9lzBHSjInnXN3OeRUmAvwOV91HJN7nHTlpIRQWMrcbWkvWynB3wKzrnSdh/98Z8dJug/4ZL4mQopm34Afddw0zfhnByKxGm+qzgiAWevUvyo09m7W73lh3GcqxqQEqArdVHWJevtnV6OUMGsCkw+AARAb21R/pYTq+3xagXNPKPdy1kDjIlgazZV9Q0TOu3LY189fXUiyqB5Ul++Tfo9ei+YEWFtuURsc01Ia64Rk3xDGODqt4BRrTzuqv9s54kWf+xz1A9/z7eptf/Fu9Zu/98cqhLj3vvv138+4K0tIgLg7IioAMaHOQakcyIAN8zOrTCyzStC1aymq8GfJQFs8gAvK/ZemlDAqQu7gyZJfO+w7B2v292g7lBLIDflyQAW/fQNdbcmuXPXkJISzapV4LvhV6cbDvBDYpqYDAIuq0h2/T5IS/LLk3stZFRwokoxIEtwcXUyWvAz1DlVcUQavmUu9g7QU4ZE7zDnsagu2cw5FRBlmJXVJNje6japcEhyes+xxkiIRDW3zDf6OW02t3OPkRx7bVX923+XCz7Zum8B6SUSUYat3eObuvDnJvL7PWoR7HjuQ7rFvYJxX8ookHSe5czeXwOZ6ziWEH9IOzKYoA4RCrqIE29bEpbxlt7nhXZ43wHBykmvXYx8n7R/mEiObmM9o9g3quWmalqoOpZppDDTOCoCpf1XoIFpEzkOVPgIwl2tXFRpOBWNtlBIiItWKzfurIgAmlHF0WrFI9g2h3MtZA43J57muhOOxck34eby9uqTnDWgy2BrZ4oOPXFO/9L5H1LWj+Zk362zfUNXaMjSiXkjj6LSiUUooEK986Reqf/Oj/0296S1/or7uK79MVR2PnX9c/332hjPW3+PPH42Oc8XXvv57rT9/8JHH1G03n1W7u7sq1Dg4ONB/7+3ueb1nBv2+Gh2rzPfBwWhvd3diA3E0Gqq9/X2123ZPVr1eX/U6I7KfRsNjtbd/qHzdOBwO1f7+nuoce+RqRiPdrg019kk6OjpSx4NBpg0wqMHiiHMPu72e3ij1HXvQPdbAqe24bq+rhlBdmvhdr3uk+8h33r3Dgd7spo47OhzoF9Tf/PCj6u4b1tUzbxxblky0odtVg362LzLHHR2pfqrP4Pow3e/v7al+anKC/Dmy5E86Dg5NTnL6HO4Z3Lv0sfs9Mxmnf677Z29PrY2MLBUV/fi8LfK6+jsNh3TeRotq6Iuu70XKkpPdbk/B3Gp73mBNxemfXr+vel1//h5ELwG248DqpteFnGxP3PseI0cODnpqODwmj8Ox49Takjo4zN5H6bPV7WZzEqXwbJ/VOano9mEcHh5peIWbk+a7TN7zvSP78wlH7e7uqeGKW3VjcIw5af99azRU1/b21Wf6R+qGzWXnImZ/b9dqHZCOnd09NeotTdyHZdXOfAc9pjHHSbg/cJ+S+WSLw4O+Oj4ekjkJOZjs436vq7o9+nnE2D/oquNjR04edVWvf6z+5/seVF9w2xbZl/B8tjrZvsi0tdfVL0HJ4+Cl29z37GehbfuH/vnu8OjQOd4nA57B/QM45+SL/v5+X8/Ttpzc2d31+sMNBsfqULeVWPyPhuqhKz11YnWJbOceMVbbwowBe2qQkKjrWcYniMPDgfa655x3/D3cGyEHR3BOe58Pjo/V4cGB2u2YuSGeI/v+uRvGi4Fl/ZGO40Ffr0mo4/p997zlWlPs7/fUiOivwaCvDo/8uQZrB1ivccdJGFfT9+3g8NC6FoO26fXkkns9CePQ/v6+Whq4x1O46jVYs/az60Xoi6FjjJho12io9lP3/XgI+XSQaStWycCz5Rt/IXcPDvbVbsvt5wn5AEsNW1uhLw7291SrP+6Lo6NuZo60nrfbU31HrsXfqXekjhzrUxjPDmHsWXZvkHQt7aJyIZ67R/57hO84ocf29nbVTQgu6rxv4Ns7WDt5Rh3u76kjLjtqzqI1NOPl7gG97p9l4AZm/+hQ7bamv8E+7Jnvf9DjzTPzGN1oU7x3dKgO+mGDFptt09YLu4fk/fjsla7a7x+rZ91IqX6FF0dRng163frl2cCsjfaPejP9bvtH3ej6fXVwUC2pqNMya8qru/tqd6W+BCdYY9Y2jzGG5jvuHVb7HXHNvH8YvdMc+98Xygjcn4L/Xr66E4Q/fdlx2O3NVR7D3uyF/YF6+OI1tTpci38Oe09//fC+eudDe/r/P/DAJfX8W8JVGEq+B+7r/VylRjPK61nHSts8R5d39tTpxL7ENAPGLB3H/v2uacewb9pyyMDN6jAnVhlzO0Kvrq6o9bVVbeEQQsAmMMTaml3bZH3NDL4HB4eq1tFS6plnlkWezvTvWwWk8t2y5FeOBuoXP3TReQ5T3caV07Z91n4sl6/Jl8qnz0lVW3KrFJ0VwC1T2X9hvx8zBak2cMIl6WyvphbYGQiOoyxFSOULxnn9VenAajayxVTVo6hq1CpLDhWfdCu41dR5r+86h6Ta0mnfEP3u5q1ljwS0/1rYLqvlAHG8TJaceRyhGkC1gztO+toJpLJPXe6qt376Wu5zpNuVPnyUI39sbeDJknsqgFv5FCfwWJ/NzScvddWD12hAkNuVVqUEx1jNVucZlTROWhVlJPYs7jlnvz9k2y/5AuYVe1W67ViJVL57nEpe36kok1GL4j4XzOp+mMM95+Ot5QipfKd6h/+8ktvsWg8UsYjhji+w30WppHLzgVLPcI31+HtfjIT9SM05tjbw+pGbkwz1DrYSm+yz9aylagJjkfcNIO25Y9A8BlZuhyBVDWNdXBU6owpGtG+Ad/EQZFinWxWqgo9Ta4aceOXwmCQkvOlvrqi3fnpHXUGwbg6izhXma5FSweGMKyJxrAih2nk8jtZzDFmEPM7IjgcwJ0LMek6Ee4s8hFk/07MK/FohjB2cOB3Ni5cT8yKsl95x/25MSICYzzlR1TLQBuVohtZoqMgUgvrEosyJxwF8PU8JeLhx/vFLam//QG2sj5lWdYk3/+J/dlZBhF4B86qnbbLauLba1ZuG6WOP+seq3bqQ+Xln6YpaX19X29tuVnln+UBv8lBtWFvdV48fHqu9/tDTzgtqa2tTba+5q+A7S5fV+vqG2t4e5+LK6kCtDFqZ85vFIZx3y7tBtLLS1b59vr5sdQdqpC5aj1teOVJry0sTv9vYU6q9NPCe96jVU+32Vfq4lYE6GlzUG7mdlRXyuJXVvloZtr3X2zxsqVa7O3Gc2Vw5r06c2Mp4v62udvUusu+8WuWgtc/KyZWVA7Wymv0uw6O+arcuWXLyklpL3XtbLHV2o9y1t2FjratuPjFS9185VBtb29YXpbgvtre9KiS2nOwsZ3NhPPlfUJtbjPMu76u1tTVvXy73j9VolH2GIZY6e2oj1Rcbhy3VXpq897ZY7y2ppaUD53Hf9eJV9bHHdvUuLHUcPBfwwua73sY+PCv9iePavYG2GrF9dnX1SC+ifOe9fDhQrZb7e2CsLO+pVUufd9s9tWR5PtvtC2pjc1Ntr7vHrfbSNbWxAfdhi7jujrp0eKxGLfr7mPHM5KRvPFtqP67WNzbV9sa4XZ3lQ7W+tpw9/wq8kNjHtHR0OntqfX2NNZ612tfsObm0qwGA5O/W1wZq/7jFysnO0iF53PbxkTroG2LHDSfpuXF5+VCtrXa811tb66tBd3L8hjkAyArWOWB5l/XMru73Vbt9xOpz6pzXjo/UUns3m5Ot8zonN1fcS852+4ra2Ngg5/jVFWAp99RI0TlJjdX268GzsqW2oxdlHJ9s+dSHKvXWFdZ5l5auRmOcm+k/XAZmsr2t7fZltQnPS2IMt41Htli9NlTLy771jVIb6wN1MOyRxy11dpzzFsbm7kgtdSZzcr1/oDpL9nl3ZeVQrTByfWX1SHU6x8xxcl+trGbXfStXoS9GmZ8vM9eTqmXWa8kcscV4LbAqHiMm2tW5Gp1n3K5W65LagjE9dW5DXjivNre2vC/vrdZFs571mELiemBre9uivnBef4fNhArPZm9Jtdr+uWxlpafaw+x9SMfWUTuzDpz8HvBcQP+su8/TW1Lt9mSfr14dqhVLLuD7CGe9jRH6e1gTi7Vv4Ns76A944+i8xvYGrBn31ajtn1emHbguhjh98sRMKjQ39VxwQf+7s7ahtlbndnuPjMHI9OnJ7W21fGwIPVXfaypu1+8wl9VO91itb8L+xXguvbjfU2/51IWYBHegltUdxHtYaDFUxjrtxCbMweFWsuaJMyOw3LiiYMtolnk1au3Efbqx0ao0rzdWzTtWe5ne06tDjFpX9N/bm/QeyLzHiU0AfnfVsJXd96siRm0DOm/rfafZtGdj+aLa6Q7U0gpcs37rvlHrqv57W4/H4efxTSd76t5LR2ov2luDfe3fvue8+vBjRnngyWc21H2XDtROP9y5PRnQxtaSIQ1vMvYh5zG21uC57anRkmWvdkoxbBlFgu2N6vv01AiUEi4rcHWqui1TjbYZS6qM6ikoOeKo21U//BM/rf9915OeoEII3OQAKVNbHB6ZFygAgZpIVgBLqtK5Ht/gMe6uxDq/2/VWE9j8c/kewPbKOHwv5flCu7+Hrx9NO+zVlqyqeOXvRzyLs7KN6fFtFBzS1ZYjWilBV7n6z2uOLZiTxHfQla4l5CRsID3h9Lo+hvaljvqC1ZeUV7rtWPPDMlUndD8KKiZlXunuFty0ver09zZt8F9r3C5e1ao4J1vTyUluX+pzO34Hm2gX9nqsfuRVhWfHHap6ll3dH+ctb5x2qZBYFWVKqACGXERLAdfpqHmPpd7heC4kqhPcsFVzm3ZQ91PyfNOBpKky5hvTLiInLa3gzpuSNrSlczd77cDLJehPl48cX4Uke39dny1LzYW3nrTPvVwlFG6Ff8fRl5LHz5qTxHOFP2KrkDDuJo6Dtq9iyyutrJA49uPndu0qC8w5z5eTeM08yjhUP+Lx3Oe7ifmLRd838BGO5z1C8n3tJdowqwpGWEugWgLYedUtYGweBFRR7outFeOfDS2+cjCWxQVf5l/9wKOxDSDExf3qZXO5UWf/bKwIhXs0y7XA2D+7+rwOaRydZuBY0qlhHmOsLoV1L6vI8+QzXceIK8rnZH13JrIvvaStPkfq9z5+QX34UbAfVOrrnn1WvewpxrLsUmLODD3m7R5IYz2SpprluhJVCUKwXFmNFJRCUZyZVvj2XWYRQVGp/9sv/Jrz9+BZe+7CRfVX7/2gurqzpzfPvvlrX6VCiJvP3hBXYtgCf35LdFwTDmDDYjngk9+e+Lxn07ITgUTe+YMJLJAb8gSIjW0sD9hwyZJnN+Rt7c0LWmI4gQ0RuYMCPe3Hg0aEL7ib4W6wzZ6Trr7PnNvRhhfdcUr//c77r+i+XC0slZ8lBdDgDJ7fD2VxcxKPgb5JV1varsLtR7YENAAb/eLAhg0cp3IhPp6Tk0KpfBIAJtrA60ue7YBbSptHnNLtavOBSwm5w0f44Yx7trwSzTfMcbIs8la6XfD/NNhWjl3PZBvscxh5P7njpCcnoS9BFnfgORc7J21zt8t6SUCUYeWkrjzjz93wDHFtdjjXh/705mRuIJ2+ly4iZeZY3mFW0pObvFU+wYO0FWHOW9Q4Bf9vz0mzsmLbszDnPNPk7Df3EQohl37tw+fUP3vZk+KNjPHleeO0tm8YlbGelBFluHYeTYQVzb5BE8nNyxA2DpPgS1ZtZnoBYy6A3XUEYOC9GIdn2PwPHbKAufm6jRV1brerLh/01A1bK3p+/I0Pn9OAy8m1jrrr+g31vod39O/nDYABVaG6Ba5ZAA8BUATBiGlHL5LFNnL7wzBICQGMo9OMRbBviOfEUEgJmOczBBpjQDWQPlh0ktj1mysR6aCn/uRTl9QHHtnR72Tf8Nyb1d1nt9RBVMCzczTQeTvLXCluKxV+W4uREo4rWEO3A3q3GFkxjbrEIIANkOBICZyKS9gYg83Zf/B3v0F9xZd9sQohnvbkJ+q//+ZTn7H+/uOfND9/anRcE3SVIA22cZUSPL7U0SIUzuUaYLibqDBcWTfkbdX9EgCYW9nm2JSmlBL4oKW/H2HjxfX+Iqu2TFetRr+zHs/3peaDVDKwTZSTjOu7Kvzxp7y+VGqYOg9J9kn83hcSgkl8ztThtnbwq9LLBNt4VaMipQQB0KXKyEkCqOLdS78SinehIqlKt3mlE8Cl8TVnVqWLCCb0s2UnyqjSxkkOeYuT3bZxz9UG0XjvPQrbYB/3XOStMnISnutbT62p+y8f5ibbpNvFfb41UYZ1Vhz3eMCpZO42BCXG9ZnqJa7qfsl5bPOgkyhDEAiy1+dSAqKxVzx3c4kyxZUSJGsQ6zhJKaEIlK844VoP2NI62V4ELGz9ICHZur4PX+Uoex5D7iAIharlJTs1EV40+wZNJKsvQ6gKnQQZ1UyrQq8cgvdv9X1QdiTnFNj8D52UAHFmY1mTEoCEAHPRW+99XH360oFWevjbz7tFPb7X1aQEqBqdl4jVKlJ2mnUIuC9IigQAZlZVmkgAMABctc/uSmBA9rTB3EUgJYRCMInzfIbz4lrNlRLGih/zkcfXRfatu91j9ZefNRYqX/XMGzUhAWJjZUltLC+pg/6xunzQVzedcNsNhhD943qPJVWojeD8EwIpJTleAVlirTNZcFGXGDSkhMn4vOfe7QSKlpaW1IntTfW0pzxRfflLX6KecNstKpR43rOfrra3NtRDj5xTn/jUZ9XT77pz4vd//Gfv0n9/yYtfUFELwwsKeHJVtvE2X/XZWSARAJdtYjJnb37qCmAbAGw51iGNa7s+V6lhRFhG2DazJQCwrx/ht7ecWPNaYRSqSqeAS651gkgpgZLKJ+STJTnJBIlIUkIErrBBIksbXNWWVMXuZBu4wAbm+UgtpastCQnoMhQn2LLkDhlnHzDtrUoflqf4EJ/TmpN2oKos0hEusN1KCbKq9CyYTqt3iKTbmcfQSgkUUab4fIP9CHKuboIHMye1ioQEtCx/nKRyzDXvlSHX/4V3ntYb7vddPChFvcOqcqTHBopYwU9KNnmMIspYnm8ukC5RlPEqobDWIHxyB6Xk4zp3MZKri/hUHhHPSSgUWYoQ4yRJ8CiXGOlaD1A5ie1FyUXcpLG11X999/qYnZOWfnGNDRIiXBPhRLNv0ATEarRRGAQpYQJkrHdF26wC5xRYh82LFcl1KFV90Fd//cBV9Z4Hr+n557XPOqtuPrEarxeganT+KnPn4x5IAtY+AMCAkipIVZ9anzEAE0JVaGCS/9OKebKCyRs4/4RyLzHPZynJXoX0fDXWAdWPHdz7sbmypPYjRYRX3HVGfd5tJzMWDwdXj/W8OBekhGE49jvTCCCJzN6+IZw+hT1cxAJgLK0vKUFVHkEpJfz8f/phNa+xvLysvvk1r1b//Zd/Q/27//gz6qd/7F/HfpG/+Gu/rT553/3q+Z/zTPXMpz256qYGE1QlKrUJzPZK98h5wwCD4C/8SanMTraD6ZWelYml28CVeOfWU8dV6RYgxCpLTsjB267u+/pPvWFTyzG5fam5ALCN3EF/VucPUyqfGxTJwJmTjPOypYud1Zb8L0J7pdtDAgLLJKCzv/NJQJcBEHmVEpigoTUnE+SidHCfLXMsswKYIINQ4IwBrf3nHTFyEVjNe90BfQ4Pccnv8U2A2IomWtnbwLk+DYRapfIFct4txrNw+6m1cnKybbe5cVallwy2kUQZh0VMGXMOyOHCy6x7vlHsaFv6Bj7fLmrfwLYUoc8Jc5utKr28lQNDKWFUAEh32jcIiJmF7RuKKm/xOsGvlFBgnHQSPJiWQRJyplWNJdKtSK8nrUoJ2VWR/g6MfTMfaZatuNAm+pEkFMrGjibCiGbfoInQfF+rkp7FijaoMqxbzBv4AnFmw0hVf+L8XgzCfNlTr1d337Rtfr85rhqFze4Q/JNdAfPpWKq6erBgWqAZkBKOKpCq1mPYcSDV9SEgFFMMXKPWtbo5STBB5Z6qowqgsYoq71nGPJLEbjmxqj518UC9+ImndKGJTWHooatH6uKcKAjFSgkBkMpqo5QQ9WkIRD3Yx4KxFCxgQhlLpxG+4uKFIyXMe3zn3/0G9e73f0R96GOfUF/5Lf9Qfe5z7laPnX9cfeTjn1TXnTqhfugHvrvqJgYVpiqdX21ZFrCBYNuVg753Q54LXKbPAksvt3RxuZVt+poWMMV2Dpu3e14g/XWfe4t652evOD0RJRWRVi9lVXQTWVI565CAtlYAZ20Simyka+lAspxbAioQfsokwaNc+4TY65p5DrYKigAg8to3MCuArVL5qmA/+g/Jn5Ntbl+6SVcwTt60vao+cdgvBegiPb6JKub4/J7zcsljTvsGq1R+OVXpwAr/u593i7r3wj7DUsQftnb5SHBc8FVElBGpHEnGF3cb4B0F+pEirJSSkwUq0iVtcJFvrDkJ7WUyjlgkONd8g9fMbYPhI8FNAUgXnCPZ5g8/uqP2usfqJZYNEva9dKpejIrlpIfgwSZmMZ9vqg3mHKljE89F36GUYNaTXKWE4uQtlGHOfJYkFPKf7yaaKCuafYNyAjcvQwDTxpXPswUKsCr0qIZVobHc+hyBLwCuQADIDfGC209qIMZWNQp7KDefMIVMoUZyv6wzR+SQkAEYWOvgegnGsFEgpAQEheoamMt1zeO0fUMIXuhVAI11VkpIksTmiVzztc86q87v9dSTrlu3vo+d2VyZKwWhsaXR/NyD0J+hKlRVXAHtAFJCCO8XdbZvCONuJ7whQVWAG//zN35PfyaUWF1dUT/3H39Ifeff+wa1traq3v6X71aPnntcfc0rX6Z+7b//uLr9lpuqbmJQQVXL0ZVt5YD5MHlDdX9Z0sWULzVZTS2pChdVpds2gi2y5FylBC6QzvGlZmwjy6sty5FX97XBnIOutmRVrjJBIg2mU8CGCFQQ+lKL1DPyV3xS52BLUJdm32Cumg+0dNk3CLy7BQQTUpbc8h0k4IqrCU+/cVM9/7YT+lzlgG184DJJtCqvKp3uF4oow1fvcF/3Kddv8sZJNrnC9ln6+mWqoORTOeKOL/58gjFyJLTikKt32L8D99nm3ssk+cZ6Dpt9Q4nX5yglsO2CBDmJZIxyVY4cNjfW+zk+HjydL+73ChLY6OdM8qpHjpOO55ut+CBSSsiuafF6FAkOK6FsOcVW3fDZcjGISxC29b1XcaKRSpi7aPYNmkiDaVy1sqmDLzPeUK2zf/Y8yq2jfzbEXddvqFc9/YbM/InHwBok9EiSDefpPuQBYA5mBMBAXmOvhlAVGhK5a1oB60JcGs4TmCuN5PxDWarNKmBtXYVPfJ2VEpLvWcsBjB3c2FrtqCef2SD3Fs7M0ZyYtG+o+5w4U6JelNshzInJMSsEJbY6kxI6oW0uXH/dKfX6b/oa1vG//MbfVY9duKi+61u/SYUSa6ur6ru//XX6TxPuoABdurKNWbnq2ZB/zs3b6mk3bKr/ceXQ+xDmBbu83rXc78GpLMPjmQQPEUhVhlQ+V25XuBlvyBWqXABYWAHMVe8wx/I20gcl+VLbwHTq/Yvtr80EgPU5CXDBat9gkVou0ge+nNQWL61pkTvKlSXXEvMCRRk2AOy5l3detxGfB/qybVlwc6tWKfsEeqwft5FzBZ7HuEMpQYPhWQCYJYvOBG794yTv2bLb3LgtRfjkraIAsP254gKn+lhGBTQEjJOUtzD72bIR4RzfgW/fwL8+rXJE2DeU8GxjsIiZBSwHaGImT2FIH8s6iibWcSxF4EWzqPWCb9wtqt7RFq5ZiozVNtIIXiOznpxQShhO/M3Nh4nzeWy5+GRhKaGQR5RpIqxo9g2aSFdUwXhepe8rAnqzt2+ob1XoPNo3gArC59yyre/H1z3nJut6FaWqLx2ED8AMonsAa/Cqq67rAmJCFTtEKwK1uqraWAT7hgnFj5oCiVi5bd4PzP2ssuoY0qkK8k2d50Qk6tWNXDNvSglI+JknYkieOfFoMBvFFSQvQaxEtmxVx2LMi6ryCIqU0MRiBQXOk5LeJVXOAktvazXakB+VUSVoryprF6wS5CKXKJVv28i1gX580JIPALsrgPNXMrs20rmbyBIAuCWuAC7PCsMHXMoAYEtOVlJNTeRk+liJUgKnSrLFUe/IC1p6bDAY53XdC74seUH1DkYb4FxwHyEno3e7bPuKqHcQ46SLaJUfAHZX16fbUZZSAgbMNy6Wrb4UmyiT/qzHvkGVTJShnm3iHHww3Z+TMFa5bAe4Yy31PSjLIHwOKduIdCu4YD5FvrGrd5SvKONfAxUgdxDHcy0HuMoUcRts53BYisRg+nAsgzn5WTsQT5N/8tuSjNuV9fZzEW3LUhDjkEzweunr47FY3WDrS1if5s0lWzt8gTYvbEKhgGDaRBNNhBXw7oRrI/B9Xatwd2vsET/bTeqNGleFzqN3NszZr3n2TbUBYObxHoQOYo6tXtpshbfZKM4EgFBMKQZRZXPdwFyrF3qnrcHEqsG0ZD7NcvyYdZV3FUQ96E6qQGMeA9WDYAw+6B2rjZXqCKacmEcLDUmsRc/QKLIGm/b9QKUx6E4sQqo6FkFBaBCAUsJc03qu7e6p1ZWxPFoT8xW0BDQBtmnZZmZFWClgelFf6lbBDXkpCM0jVkiAdE6UB2zYyR1uL+Xy8sEvAc1rc9GNdFopoaAvtSMn2ZYeih8kmD5yS0C7G1Cc3BG3Ibe8u8e+ocR8yCNLzq1CdgFdM1PvoCwoHESr/FL5NFnDNtYakhTnXvKSyWffoK/pP41VwcF1H7iEI/E4SZ6jAHmLycxw2twIcpIkwhH2Dfh7X7Al/xPHZ85haQcXOGUTZTS5o/h5SEUZF3mLC6QLrDhICyuPpQhs7lir+xPn9l+fXp9KFIZgnLARAoraN+CxvOMsFjHR/7vWk7jBnqzgSX6es2fjy3E24QZyW9CPRpHIf94m5juafYMaAzCBbBwiALMyY/AW1SHqWBWK83PdNv7nSap6XBFar3tQJYg5tnoJo08XAnyJ+rzOih+hkUzGcuyz7fM62zdgn3ZqVqEPY9CJiFU6F2Q9VHGq6bwIay5cy87iORqvn8Mg6k0oJdSYrHccwAbI3I5kf/iOd6r9g0N1043XV92UJnKGkXcf8QFgLSPOPXcx6eK4Qo5duSoDLtlKBf7LR22wb0zbNsO53tjc6xsA2H0MT/6YsBwgz8mXyueGOeeodFlyUeWqQylBFaoALi5dLKu2JMB0C+koKQFdVj96lRLyeqV7CEc8gAj6oFVQltxRAcxpATOhOq6qdMHDZScd+Qge/vNyK+NxL5Os8M+Abfw+Ko0ow5U3T91gU91fjLylj2UdRVtCUOArlcPTeL6jmbtYTlqOxf4tU9HFqXJkWQeliZx/df8VosKf15G+3GCfxzJ+O4F0JuEIjy1OzLQdPwmmk/0oWgcWJ/xYwXSXHRhzHJasg2gCmTuHcIMdN8smr8+b83zjLvfZ0t8hrZTgtLBq7BvqHs2+Qb0DfV+rBtRAqaFa+4b6ATA4P9dNInmulBJiYki97gElVT2LSAIwoclUS97v5xPMDQPwWgTZ8Zh8U9GcCBXedSXXgE1H3WJeyHowRtbdvmHWCkJY3FCl3QxJ7qopWe94OGIXt9TWvuFXfuN31a/8xlsmfnbl6o565Te/gf7QaKR29vY1IQE2kb74C54//YY2MZWgZcnp6tkyPb45ADCvmlq2Ic+uEhRXtvGAS93eYXnX9wLA0BeMucUGXHmrLf2njc9dSAKaUW1ZRk76gEtuPljltB39IFOdYLbBCQDn78dy1Dv4QLZV3p2strQTrTLXZ1zbL0tO2TcwlRIkvvNUVbqwuj7dLEoqXx+v+5JxYm5VenSQRSmfIG/xq/uLzjdUG2xhSCcCEhyX8CMCLR02NzaiTJvZBibBxCbNXqp6hxXExvO7RtJxG7hBgbC2vjDj+vjgt33qknrG2S11ej2tGCbJJXewzgNKN8pCgiOJMlNQ74A8t5I76HES+5K0b0ic3Xt9x3gh+R5tC8nTOeew7Xr4Sks2ogNFIEvmEIIWNtUJ13eYvLZ7rOAqRpl5a9JuxUVoaOwb5iOafYMmQq8KjYHGGW+qjqtC67dxiqBW3aoR50mqekwMqdc9qFQpIWHfENIYOorWxbNWe5lpHtcQzA1V+QKB25nPidH1IJfhvaROwHE/2siv43gMZL3PXj4MnqwHe6P4ulo3Faf0vHjtaDCTeRHVCEKZE0MaR+ts3VA5KWF370A9eu7CxM+Oh8PMz6h40ec+R73h9d84pdY1Me2gq/tpqfwybQdc9g3yCrn0Bq5j81PQRm6YcyqWZK7xGGcC6Yxre8E2pgi0Dbgqx76B39ckuYPhS+1rA6svWx6pfMULaKtNupiSTWM/WwIZalopwS4BnTyUenngkiK8VelcSW4LMA73kq625BMO+GC+vAK4zDb4qtIlXul20pErJ8sjeOBV4JxLqTbbyVvlS+X71TvygdhuEhxTGUeDlq3p2NwIqrmLWi9xx1rn3G2zRUn8nhNFyDrjdmTPicdCu6EPKKl8HlHHp5TAA4CBjJUmOrryWWJzI5nzbGQskiiT6Hdj32AnNOhzM67vsnLi2pLgOCFaT07BDsxGdOAQM7ECjSJ4cGRbObnBJS5BQFNwz847TobxXt6EI5p9gybCrwodVlsVOjieIGPVIQYokVyzjX+Uqt45GmgAZmNlXQUvU12ze1Cl3PuYwBRGnyYBTiBMhAQMlRX4zlRnEDE8ol5ESphxPsH3x/1NIH7VipRQ4wr9eVFKSO4b1PE+VDEvjol64YzPq9H8XFf7hkFDSlDqZV/4QnXLTTfoDoHNoH/1I/9FbW1uqB/4nm8jO67daqvNzXV11513qNtvvXmGt6yJsoPaxKVABbOJXB6wYfyUabBNCWRibcCl277B3z4uIIBtICXeU9+Bq9Sgqy0LAkSS+2EDrky1JXE8dzNe4ktNgE5UTrKr6wQED5qUIADbLN/DKZXPrUqXVHwSfWMDmtKA0s+952H1mmedVWe3V3NX9/tykhNiwpHEK72oVH5R9Q7m+OYieEir0kU5ySR4cPsS9x9oMD3fOMkdp1lEGTaIXT5oKQny2aZyEghnzHNzctJJhBPkZEtgGeSyWsg2QULe4j/fyXkeX4YHFtkjdi55xkJ+Tmb7xfVcGhUd/3klaWub88btsJNMsC9hw8zaj9H5OHuX5nzu36ucKiBl2IHJnguKrJM9NjlO4sYnRfDgka7cpDr2ejI66DhBQnPbYPBUjpqoNpp9gyZCr2bqVrSpihvHMH3A5ulaJ9yqe2nU1T8bARhNStjvq9tPBUxKqKmFRlUy1SHaN8C6aXWprccPGMe2JrdgahG41m/sG2Y/dsx6ToT3dpgHD/rHGlAFAlhdAvc460iuuX5ObI3wXRfuQEAY+nzbN1SkqrLI9g0Djnz6DKLS0flpT7lT/8EAUsLa6or6mle+rMpmNTGjoDZx6QrgcivC3EoJ0UTDrDa0SryrEuwb/IfFbbBvyI/yVwBzgXQHuUOfh0vusABXzmpLLfPL20QWVfcLiA0yKw5VDAAWSkBbq9KVCwDm5URhexZLTqZlxEHGEl4iptGP4/bxCEdir3S2DYb3sLiddnKHQ06bTdZRTACYPIusklmUk+Xa3CCobM1Jq1R+uUoJpZG3LKQ2n31D+UQZh6VIi3guhrNSSpCpd2Rk6h3PpowIx2qCsXxhj5OKCQDzCZVOqXzBOJklZrpUjspVc4nPSREKW25lJqgAtCpORLnL7wMHoZD5PfR6ikkI0NflPt/6v0xypk2NhejH5Ljej7zUbS+4rjUxdb4i3wPuRzzuRNgc/LMMlaMmqotm36AJr1JCIFWhs/bEBbAY10aweVwrUkJN7RvmSaoa70GdwdxZKyV0B+EBMKDa0D2ufhydPpgbTp9PK5AEUDVRrypLI3ymDSmhXvkcK9fUcDyOlRIO+vp9kKOyV0Xguy7cgzopU1WqlBAYUS8kwvO0wrb/VUUERRn7yJ++qeomNDHDMBvT/A11kVIC4/quakv8aauALzU1iUoA4CLe2NiOVm7LAV4HlAW22QBdl8oBu5JaKJVPVgBbAWA+wYPTmcYH2UVK4Cs+SKww2GCbpA0u+4ZMBfBkP1IgkT5vKUoJXM91G2hZknqHKkGWnNnmQpYiHpubImOUMycJhYiyiRHjdqSP5ZM7OOF6tlVRZR4nCY5b3S+1FJHkJN/3XhWdu6eYkxKijAQAplUnstcfKyUMHVL5o5LsG/gqJOn7oVWOXAAwa97kvyhR6yqywj9xfthst/Wj6zvYrj8sSFzS7Wq34ntr2o8GWCWsJ7lt0IRP3ufxGYJ2wmbCWqdNKiVwNpZ8c6jk+U6Pub41UCAKhk0Iotk3aAJj0e0bcPN4t2uqQk+vm439OsTYOiCcjerFk6peBPuGpYR61mjqVcghAjAwjsIYUt+qUCQl1DePgyXqVTInwjPd17ZGdYqYqFfDOfHU+rJ+J4PvuNsdqJNrYa5l6myhUZVSQqw0FhBRL5RxtO72DeHc8SYWLqjNR7KyTbBpyPWdJx/E6Me8CjkbmO6uXOU//3wQ2goSWWXJy5V3d0ppR2fikjus1XmC461XH5UhAU3YNwhkqLlV6S4AmBu2qk2fdDHve8gsJLgAcPpewkIP5d6yn2XkJKsCOK+8u8srvVzw1StLbmmICExnq07YF2KSZYx1nHTlpAPkK/Zc8IkyXFCUlZM++wYmAEopTjhJcNx5k3cYORfTijLlqvO4lRJkQLY4J0uWyifXQeTcPbnJkwSwk5/lXdttq8HNf8htG6Gw7frOjPNy1yCuuVg/GyTJdbwxbCV3MBUn8HxUd3HnrXjuStwUPKWrwp89dxcgHVGExNgWJ3qxhc0LK8GDO+d61iKSNYhR8ZIoyoTxYt5EE03IA4G9qsG02BO3kqrQ2crPzypwTql7VWjIsQj2DQA+YIYdzdQ/O5w+ReC4anLXtKLOqiuhEvWwz6tSSpil+snsLY3ql8ewp4CkyssBk/XGxJD63QPrunIGxJ4xUa8VoH1DPfcIBg0poYlFDwo8IyvbSvb49lalK160clSusr8Huw18WXK2DYbAK708WfIssFHYS7k0+wZVQL2DWZWuAQmKlCAgBNgk3j19ydqQF/q1k6Qjy/WxH+FvWGwPbGAbE3D0VgCzVVAsXukOEJoLviqp4oTgO5ROOtJy4sXBNkOcyn6eBtt4IBGXYIJtkBBlygT7vOOk/xRku5wkuCmQt8hnmyJvCdR5uKQjp1KC4oVtTaFl5lsyq4VMG0TqHY51kKO9bqUEvvWU7xnjzd3ZMcJ1LyXETNF8Y/k5Ne9N2A4c0/MNd6+BIoaa8/BzEvaD09X92F5bcNfF2EZO2JRNqOcK7zHcT3gmjVKCnSjDVkpwPGWi57s9Od671kBcokwTTTQRZoRSzVTlpioCMLMAVGcZOKfUsboZ7BsgwL4hZGLcYAHAXFijrMUg5iz8s801Vjvh9OlKIED2tGKRlBJCIeohgF7NnGgA1YOaEfXqrlxzZtOQEi4GTNbrRxUEdSSGVGbfgJZGDVFvZmFTt1wo+4bnvvTr9N933nGrevMv/ueJn0kCNpg+9PbfLL19TUw/qEpUCizjgtDcR8tdlc6vKrNXAHtsB0oG2yhwnAbbyqta9VYA6/+28lelU7LFzHstAi2FOSmzPeBdf1gSQDMtKwxuUOCCDwDGjQ+sBPZ9Nk/1KBdM1+0a8skhNuCduj43yJwkxig2SMXsS+c4KVHOIKqpC1uKCK0wJOQtzjg5FI2TqhSpfGs/UscTRIxC842S29yMZmi9xCXK0H1ZTHVCSpSxzznZ5zvZ3rFSgn1s4ALAXkUZllpS1mLGTZQpNx/c60l4tu1KCXA49CeOb2nvShdBRUK80e0SrOWSuY3/cq+DmH3JJsLx1b9ipYTRSJMpABi0q07w5goOgUmiOpHuS/rZliiYNVFFNPsGTbgCgb2qwTScm6uxb6gpAFPjKv3TE1LVx+rEWlDOulkApoZy4elnCAgJs/HPDhCAicld9VwQoQ/8IpASQlFKqHZOrKdSwlg9KJyxo8w4swFkvQN1ab+nwifq1fMeYGzMUIFrTNQLp0+RqFg3C5j0nFh1VHbHtU9q9Mf2M/6fqr5BE0XDVK1Kq9JVqRLQLmBDFfLfLW7fIKmuo8ASe7WlxAajuFc6F6DB94OJyjZHpeI07BsoooMLAMb2woL3wSuHZBv4fvGuastW/kpHRz6VTVRxEQNs3yN573u+CmDGtbGimexLJkBiI1a4FSfguryEY/cjkcPUcwU/cz2P48+Pio+TIp9yi3pHCZYiSgRCUxX+fksR5/UZx7iq+3UbmN/DyIzbpNFpsI3FUREMlM6qdJV/7lYlqU5Ini1rTpYApnPDNlbjOdLtSD4TWCVB29z4r+2TrOeex6ipWIiZquDcrfhBjpMeSxEAAlqpDQbfZ23hIt5I1nJpKww8p2vO4a4ni/QlTcwcKyVAu6HKzmrf4FDFmTwfHu+Yc5idmV6blqIW1URl0ewbNBF6VSjkaBj2DfXaPK2z5DrMU+ChjWoJoUad70Ey1juzrAoNz74B21I1kD3tPO4E1Of1Vw+KSAmNpVH56kFL9VZKCNnWKCZL1pzgNFOlhFhpLJzxebWzVOs5MRT7hsrouD/3H39I/72+upr5WROLERSwAZuRdmBDojDQKqiUIPAypvx3c8rTJk/Cr1x1eKVnfKkngQjoA1jTpI/jguAIEBngvlUAAB5vbo+r78rYRLZXSoqktIn7mTz+s5cO1LsfvKb+/gtvI9vrvz5NGJFsxmvARVK5yq3wl9gOUDlpA9sS9x4XeTYJaFO5ylHdSLTXc4z7POb+JnNbA8DEWbmEHy5RJ26DYIySkHWKKyUIcpJUSnCpGoxKBtMd9g0Wokzy2N/+2Hn1ZU+9Xm2sLFm+A3+cpII9TqYkyePPlgC2FZnzXONDst93uwN10DtWZ7dX86tFuKyXJCpH7SyJyJmTQArgnVrUl6TqhCMncTPTZjsAaQZEgeJKCdyczI6TTmUepnqHEo6TXHIHHg8kIXgBhk12nHuMkLIaKyfwLu9UOZKQGzLV/dE/XfOYryt9xAaeRYzb+gD6ClJxbbllt2/gkq4S+WP70lzSn03pqAyVoyaqi2bfoAlXgHVM1QAMzCE4jFRZFXpUQkUbbMCC3DZ37ppm4Dqnrpv/ZzaW1eWDvrq031d3XqeCjLrfgyyxZ3ZVoVWAtX7/7HoDMIuklFC1FzoSQaqYE+Mq54KAKrw//PUDV/XexZPObKhgSGLtOislqKCVEmILjYAA9GnE2iznxJjU2wru3QLIVbA/A/vidYrB8YKTEl7wOc9i/ayJBbVvsAIb483ave5AfeLCvnr+7Sdzgzs+pYTiG7hU5aoAAJYAG1ap/CxAkwa+f+X9j6iX33VG3X5qPfNZTuBcbIAQlRtoioHkxG60qw9sVa7F7yUllU9XW+LxMFmhvGFucEe11GBUglS+Bch2A/S8amolagMFttllyfXvdOWqQylBy2vnI7hMtoErE5/NbVcb2OSOMmTJHXLa2O8wTl457GeebZk0u6PCX0LeslalFwPb4nNwgUuSvGUZJ1MA9Ccu7KkX3XEqS0pgPjk+mxt9zVZeZR5HP05pnLSrHPktRe45t6cevnakvv45N1nbwEkneCyp3JCqd6TxCxchUWRDIZpzeCAyqirocRLJW1ZFGZ59g2/clyglQMB7Db5HutZhhpippqDMQ8w3RBsGylg3wFoQutFI2C3lXgeWpZSQfD/Ez5I2N4y1Gv5W0pdZoq3rfpr+g/4HwKLbz08WSiolLFmuKMkJmL8nlBJc/ajXTGG8mDdhj2bfoInQvdCTdkpVVJSvRRVdRSvaPvX4vvqVDzyqXvm069UXPPG0qjrqbN+AAMynQKo6ZKUEBHNreg/SxJ6DGVSF4lgF5J9QIhTJ/6lLrtcMWLLFaiCqF6iUgBZL8yg9f//lQ/XWey+qE6sd9Y++9E4Vjn1DPfMY1YN2jgYqeNWVBVJKoApQF8HSCMfS9D7wvMcgEKWEcO54EwsXZFU6ad8w3nQ+t9tV733oquPcxSqAxeBrajOTUnswbePaUMgqgEmlBI+0/X7vWFeuWj/LqSaPruCqfORMYLApnAbQdD+S1Xk8qXyxfQOzH7ENuMwFQgLFNqOq/pTAx557Duo8LpUBikBgbUMpEu8tkkTQd3ql5yG42NvACWwXXwLaLYcen4N3+Vw5mXyGPvn4vvrzz1wp1AZXhb9L6p4D2rnIWzbw3d4GGcGDVEpoudVGKNKRRHHCaXPDVgkglHkcYBv3XvNBS3ue6zHG2obxMwSkI1t1v4QoY+ZQGgBWRZQSHJZBfKIMf/1gWw9QIHJSASa2ubGMk2as51wbj3f0Jct2KDpPssLfYzlQtn2DjdzhtQMbmjbDswkbO1n7Bv7Lt1vliD9Owv5S2r7B9VkOoTBWW5CM1ZZz+NRYgHQFgIUtnzRBkHFtvARJOlJFVCeKP9tNNNFE2ABMlVWhsaRyu8UiBoYqs/vRc7v677+5sKdCiLpbB1y3YQCYKyFLVdf8HlSjlIBgbTjb8aFI/k9dKaHmeTxB1Kv4XuLeSTXqQeUQ9R6I7Hl3ugNd8FN1JNcadQxcywAZLhTQlMrrRZkT4TZMm+AUon0D7BEhcfBoUC9rNAiqoHbWEc4db2LhwoBtksq28eY9LOSdkuKqhGpLEdhmaQMFpjOra6VVejTYlgKAE9XfMUhUwJc6abVQNmjorAAWbCJLFAbsQLodGEiC//DCbqtalYBtLul97jnwPOk5pgzpYklOkhLvHtLRWCnBIkuuQXBeP+rjCwIbcJ40OO26D9wK4DJkySmSSRL8h5wkAWBB5aqTKKPyV9e7SEd8+waBpQhxf2z3NDkWQDthjLSOk9z5xkP8MWA6A5C3KiW4SHD86n5uwBRC2tyQOcmYuwU5WcY4qQk8NqWEVlFCIevycRtsZB28nn1cg3EyesatRBmeUoJv7uZaSEE74X0tS95qicl3uUkBEdmSmw9IJj2O+qrTbmfmb0ppR2KhNW6fyqWo4htfOH05/q2EYCEjPhmlBFN9Rquo8AhH+rkkxn6REkrKMsjVl9w1UBNNNBFmhACmVQ3cllUV+vDVI/33uZ0e22ppNgBMPbctN1dmB4QXlqquKQiWBmCKyr3PKwCDUtWz+P5VBO4t1RXMDdGKYzwvVmdpVJSU8GA0J2JhZNVRd/Wgyer0MMeiWHWlpvcAYzkByu9ZiljLDCQ9hETUS6qQHdVQQWgQiH1DWHe8iYUKsyks8ABObN7Dy5Gtknr8eW61ZQnAhm0DV29mUxvyAs/3wtXUWbAqrWygK4BtVemCqlX3JjL/i2iv8Ey1Jd2PZcuSO/29iWrLMdjmVkrgVviTEsICoky62jL6uKNKkFnhL5RGtwOXbtJRz6OUwAaJHGCsyHceqi2ZlavTU0Gx9QUtSx4TjoZDkiijz826vocoIyBXWIEuyp6FTTqS2Zpwq6mTJAJ8rm3PN3u+8YBebIsX8bM9DcIRTd5qe8lbjrlbkJOu+YY9TlrUK5ykIyahENuYuyqd0CgYS9ub+UZbEBRRlPGoHIksg1Jzt0styvQjL9hrIKHNDY7VsD8JFfVaESajlCAjPLnIW5J8SOakS+HIHM95vu35JBmrXDll5npD8IDqM2oNxZ27XWOWRJ0nq5TgU5QJ48W8iSaamFf7hmo9htdKAGBAPfFSVLEPBI8QqvfrLlUd+54HCr5M3oN6bx2XBWKK/LMD6tOYlFFD8GVScj2cPp+FFYdk36nswH2oKmxKylA+gXcasJ0MiZQwBsTrOSfCOxmqXx0FStZbFPsGeG8+uWbUnK5N2U4jRKLexBot0FwsEqEokXSquvBzX/p1pZwH9pc+9PbfLOVcTcw2KLCLrGyDqifFq7YsDloKJKBb06lcLQpsuMA2/F0MEhE+GjJAwP47QVfqTeRkU5xVq1zFiTLIHYTPuAaF0Ntb5yQlS15GBbAQIJJI5Ysq/LkgjZ3oQJKOoudirJSQH2zT53PI/4tyUoNtvM/aqp5d7eMd56pKd6umGKWEYkAZAk7kOSTqHTagqyVTf7G1QU3Bdz5JMIml8omEKkrukCnTUNLqFJA+nX60qxw5bG5iooxDik+gzlNKVbqNKOO1Z/GfVzK+UKRG/F36+mY8GKn+YKQ3W2xz95CtBDN5vcz3EBHhUnO3lwTnP2cp9g1kTkaWA0CkaZtxPkv2Ea6BSvgemfnGsw6jFCI4+USFbex1rWHwfoKi0HK7bbWp8ZErstenf8+fu0G9gzl3O+w3mggjmn2DJrhVodP2vfX74VazSV0GAPPwVSNTnQRgzmyuqCqjagWKacc8VOHV/R5UY98QATCdVoBKCeHmYpFYKPuGCNgbRc9vVXlWpVJCnM+DoX6vyWOrdGGvN0F2PLdTPSlhEZRrAAgGYmSo8+Ki2DdAnFjrqMf3e2rnaLokVbRfC2lOTBO86hb9QDY/KqOhwAtjOX+q+gZNFI22sLJNg2PDZLWlw5eaMZa5vHhFALDle7jaQIGMtjZww1nhr2hgw4DAdjBdVDnrkC6WVAlmpItd1ZYCf29utHLZN3jIHQJwx+mVLgGIUv3oy2nuhryEaW2T6zftoAgeBoiIZcktz7eR++cCG457LyA3SGXJOT0kebachCNrGybBdMorigucesdJdk7awNcZW4oQ4xRF3oqVeRLzTiEbDEd2iNRU0s+2jwTHOK8+lk0wIZ5t0lJkUuWIJm+ZVhRSOZJYL6UAYF+FP3+clDzf9qp0fT3H8dCHUNFls2ehFCvEKkeinEgryrhVULiS0JJnm2thNWk5MNKECpsCici+waE2JFlPplWOfOObxL6hCMHCdT+x78ZKCZY2iEmuxch0pl2TOeG2C+IRZZqoLpp9gyZcsZoCYKoFCtoV2zfkr/J+KCFTDfFYAFWh8eZ/Taub56EKbxFAsFkqJcB6ZExiagcHvoQKBJZGSqh5HiM5Dr9llbZGVSrdIMmoyPj6UETUw/af2+2pqqPu9g3zYCUTk21qui5Jxsk1U8d+7XBBlRLieTHMXKyDfUNlSgk/9x9/qKpLNxFIUJXMFDiTBOcMkF5sI90vt+s9RdyuY4nUrQPky9sGSqnABRJB90EfwscoCWhuOH3nBZvhcJ4JYMNF7mBK5eOx06oAHqWq0m0VOlx2rpa1pnF0NkCUrlr1q04w7RtKkXgnKvzjl/ShkdIeTlMCWkaUSYLALhBaUt1fFKChvsMkAOxSShCA6Y7vJKlKt0rlu0Aixnllag12ANb2bE1U90eLZBvpiA34M0AvXnW75dn29SOTvCUjd9j6wg48JsdqyEkKMDDjJOf6DtBSOE7ac5IGX1nqPEIinPV+Eu3A46ELYfPQqpRQwtohboeEdDRhveQeJ1k5KR0nbecgxihc/8GjDeQUWsmFuXZwkE3lRBkeCY7bl2OlBD6Ynz6nK6ew76AvAbBIk6akczeou9BEOH5kSa6O7yAkXTYx+2j2DZpwBQAGem0QATBo51CNfUNFSgkr5jvDugDepfJs7CIp4ebtVU1IqLoqFMZlfI+pa3XzWqIKL28177QD15qdwMCCsmNjZWkm3tnJ96Aqxqp5thIpEkiKrzu5Btf8kFswrsCf7dXFA9DhPQAIi7AmOOgfx8+3JB68YubE59y8rd7/8I66uN/LPb+WFYtgHTAei8IkSNXdViqtlDBt+wZ4X8c+DZWUMAsFpVnHwts3vOBznjXzTm8irDCbyHywLe1LbTZBR3rBMfF5rgS0B3hnA+mpzXjzHeiXSq59gwzMp6oEKd9545+L71x2YIP/YuysxpV4fKe+h6n4JPqRuYksATaonPCROzAn4Z+6WjB1LL8K2rEZL9gv17LFw/LtGyQ5Sd0fCrgEMAYOh1yESgUbcCkBoN3V1PzOzFQAeySgy5YlpxQDSEUZ+N7Rv01VejHilRO0FIJtaaUBX/Ut3+amKHkr25eT843529aXppq6VZjcwa2mpiq6acCQV5UuGic1uUNOOCorJ13jleTZpsdJuSLQ5EkkFf7ZNrsquvF+wh8gJdgJhZBLkmpy++8k1e1pgoe7H7nkjumOkyOPUoLk+7uVEoTkrTS5w3E8dx0k2TIxBAvbmlY5yTrwGdh0tOWTROWIVP6KfiZZT072pUe9g3faJiqKZt+gidABmKqrFwF8MepuSh32jtXKuqwdMF4+smMAmBfccVL9zj0X1GMVkxKweKLOQCJWp48i+5G1RHVvKFF3D/M0+LLbHUyVIIIVoa3A8jq2EulXZ4MzzYgJTgH1+TRDA/KDoR5XKiOVRZeuzNZopa26h8Pc6idI1Lv77Jb6xIV9td87Vhd2e+q2U2uqquhGpCEE7usYodsa4Z5mXcmSNqWEnSmSEnBODI2oB4FrsjraNwwI9dpZR1h3vImFCtID2AGkJ6st9d822wHmRrJfKr9AtaXTl5rpXSupEqQ25IkNXGwDTqhWYKOgB/HEeVQ+OW3XZ9mKE4ofOifISmri+Oh7owyfFUxnVik61TsElcxpID3+vCqoOiGSTpZJvCMQArlovNIp+wbW5Z2VjyMxsJFsg8O+gQtalmHf4KkAjqvSiRs75CrKuKxZoiPYhKPULXUBXa7K4/Q5uEFVFdsA+eSxuFAmAeCC5A5sA7v61wqeushbU8hJar5hzN1WFRSwE2KrHHnmm5wkOPN5n30Dl1AoqEpXQqWliJAJTPJyFGXodZDKO3d77Bt4SgkC9Y6IaMnNh9hyYGjGIBs5g0s4Mtd3jFdCC6vkeXxEHQ6YLlUAsN0f9/00Yzv0JQAWtI1GwXcDvB7vNJk1iCufGvuGJpqoD7hbFQDTqxi4hXEM5aqhKlQaF/a6eo0G/fism7b1WAsV4wDQVhXYp3WWqobvhSBpsABMzS00MLZXO/HaYa87PbUAHKNgHR8S8I8gpybIBCLrXGYsiuJHxgu9IvuG5B5U1bZGBznUT2Duu3LY13PhbSfX1E0R2/FcxbZGOE/g/a1jxFYygVanL5J9wyyUEnCvFZbPoZHGQs/FOigl1P8paiLYoIBQ1yYybq46QSJVQrWlxAPYIlfrBBVEUvn5gQ2/n/JYRtvGkpJLzNt/J9mMzlS2ecgdZYNtkkrqjFJC1If2amqeLDm1GR+3T/GiQ+Wksy85OcmfuMwmv60viOc7AmOOXRXAUe5yr08tHSS5nZWAdleMcqvSuUFXjdLP9iiRkzbPefN5fk6SnvNCoElG3mKOk8KqdGtfWsZanB+S46SVBBeN6VxJ8qJEGbRmSZ7H9dnpkLcIFRSKcDRhKTLMKGYkr190nCwile/7vG98ztMG2/PtmvvxeGi2lsonx9hWYal8cz0B6WgiJ0flWC8JrFlowpFtnDT9pJUSwL4BFK9sBJWC5LH4PCr/Gsg153HAdAlRhyKZ+p6LISolpEgV+QgetLWb+X0+ApeLrMNVnGiiiSbCrgqtFIAJwA8X5akPcmyeYkUogC/wHnZmc1n/f5UWDlgRCkSPtDJmPf2zAwdgal4VCusUICZAXDvqT987uxNWf8IaDh+zOlo4xJLrNR5LkoH5VVWFb7JQq6qKciQl5JFef+jKof77xq0VXS0dAikB3lXwfqKaQB0jdCuZRbJvOLm2PH2lhEGY1g0T67NAc7FIUDbPsw6z6gosYLD9kz//a/UHb/sL9fF771OXr17TP7/u1El199OerF718i9SL/+iF6n2AjCT6hyUPDcpAZ2stoz+Ya+4lFRbliCVr6vSJ38GG7QuUIEHEkkAYApso1QnzCYxvhTZqvslsnVOCWiJx3cKGNCV8S653ZJlyZ2KEx6CSQxcUrYDnGpq5VPv8J9Dt4vySi9YTS2VeLcSZaicjO43kClgM8zGaJZUzrrk/2WEn8k8o3JB+myzbSjInKSfbRwXIRchHW3PMhe4dFely8hbVgDYZd/AOK/rfnDtUWzPFvbNKKkoQxCOuEoJ5njDAra3gUFuiDZS4L7iXpbruZzWODmUqhxF/4bKG8oGw7SXp97hArX580127naBwFo1hHFeyXNhA9Nd4xzOtfAsra4skfdBopRQhuqEJh0xCYUuFZv09VXBnKSeT7Rb0BZgcAD0g2V8KqUfBYMUvNZMAunuXOLY3EiebWoec7WjjUoJMCZp+wbbGkj6TNjJY+LnO52T5HzDJ8o0EV40+wZNhATAVLlJXaQqFEkJt0ey1ADAXNzvq8d2u+quGzZVlRWhuClcZwAGVClC3PTWKoZYYb4AYC5UhUJF6HSlqsMEYOAdDIBOUFoBgszJ6hTqpxKLaN9QpXpQkgQyLSsULlFvP4d60IM4J55e13/ftL1SOSkB1hn4vlJnpYSklUyIgXuDdVVwsiklAOH3qH88FYupMVGvHTBBJsxcLBKUorJadFLCY+cfV//43/yY+tgnPq3/P7kx9ej5x9VjFy6qt/3Fu9XdT32S+vF/+0/ULTfdWGFrmygSGliw/JwCTydlyX1gehmgpf8ceB6RLzVz81NabWn7KlRVOlYh+7zSi/hi5wOSs5VtNLDBk8qX3UtCApqqStckCvPvMXBpV53g+s67pPJlm/G270BdlwaeM20QgTSK3RdY8Qn3H15e0qQKcU46bVKEYHoyJ2ds30DKkpPPdjInx+SE1VQ1BhdwS5IcrG1QBaXyS7G5kVRT88hb2DcTijIFCEeY82hSwGmDLXCvWwOoUSNNPxYkHCl+tHNK5aPaBILqyao3vC+F5+5R/qr0Mu0buGEjorkwbPzu46p0ipjJvL5TdaLAOOlQEKHIQVT7eMc5ctJ2fDSfwCONRB+bfUNRpQbx3C1Qi4qfb8Z5JfLANnsWr9ISKCUMHTkpuZcE6Qif+dzrSad9g4wI3EQ40ewbNBGOfUP1EvdjpQQ5APNwipRw84lV9bFze5UCMN0IkKgz+DIGYPpBbnon3wEXAYAB/+yHpi1VjfYNgQIwmpQQYC4WDdyjWwQf+DDsG1TlRL31Eoh6dyBR74RRSji/2xUV75UZ+FzCe+dKjfM4dCC4v0CqKzCOADEU7gXMi1MhJSQsjUIlyFRFeJ5m2HArteikhN29ffX3v/dfauIBbB59zrOepl74vGerG284o39/4fFL6r0f/Jj64Mc+oe659z71bd/3r9Qbf/bH1fZWNeztJooFLQFNV7alwTbSdoAJALuUEmQewLYKYPq6XJlYdmUZUWHvky52VQBrUKEkpQSV0wqDsxHuC4kkL2nfQICnSUDJpZSglTMY13eRAyQkFVijpsE2V0U3u8JfANIYgF4OXMIjDZseFKFBV7UW8L3H84gkoJM56awY5eakUHGC6AuyKj1tczMcqtWUWxMXBPfZpLAVJ4iqdDIn2TY3/M50EWXS7cCxL6koQ5G3OONkUinBGsyvAf2dtsJI8BPYBAJbA7j30tmPVkJhdpwcZEgJ0bGs62fJBONvIXm2LZL9ZVgGCdYP1qp0x+djpYTRSG+q2e0bylQ5yjd3oy1CEcJRGeQKmlBo+k63M2HVkpdQ6RqvpPNNVpmH/jCH5CoF2w1hw0aU4eakKpST1NpOShmA+5p8RXDlM/vZbiKoaPYNmgjLviHapK5Qkn0j2siXAjB73YG6fGjk6m+NyqNvRqnqCu0bjhZApjp0+4YkIXsRKsxn6Z8dJgCDuRieakfRGCt+hNfv0wgkvVSvHlQlUS/fnAh75I/tICnBKCWc2VjRYyAonVw56Kszm0Y5YZaB9xLWOxLC+bxF6JL5iKEsCsEJyHpHez2tIHQ2WhsugqVR6OuzotHYN1jiv//yb2g1hJMnttSP/ut/rD7/855j7bz3fOCj6h/9mx/V1RH//Vd+U33/G/5e4RvSxOyDBNsoqfyUL7X52171ynln8oFeeSsETRtc1dQCALgAsGHa4SJ4jBL2DTZyh2BD3gPGiipXR7yNcHYltaBKEasn02EqJt05DLkITGDSUoQJXNKYJX/H3EqUKcG+AdvICYr045R4R2AjBXDFnxUDpzRwqUQV/jy1BjbYJqoadYyTNrAtlZPJv/PYNzhBS8EYAeu5jDy6mq19A0q2289B9eVYKcE6TjJ952OlBBcAzCYd2WTJ1cwAYIrwQ883SUsRO1EGiVtcQuFAFX+2dSW1KCe5RJlifclRa3CSt8TjiwtM55MbJuZuIMqQx/LtG7j732ROUvMNKiUMR5qgAJ9N96WEmKnvC/E7sc3NxHzjHl/S9kJFSRHUmOFWWopycmQqhEmCbMG1Az7cedfmLmIEV3mribCi2TdoIiwApnqlhPWcSgkPXzPgyw2bK3FlKVaFXjro6z6tQq0gBmACrCifRlXoYYAADOY1YC8U2bROMQv/bMzrECudEYCpZVXootk3xPdyVK19QwCWRofCOfHRna5+H9taWVKn1g1RCca/s1sr6pGdrlYQqoKUgCD9ajRn1DXWAweCcSypcr03a7Le+b3e1Mh6oVoazYNqR5Gg1JBnHUHddbBlgA3QH/z+N5CEBIgXfu6z9THGQ/JdM21jE+UFVeFFVrYlju+VYDvgVEoQeULbpPJdoALTvoF5fTwnXSWoSOASwDZYJ5L9WIoEtKSaOu1L7ajuZ/t788MtlU/lpDkeCB6w8B0QBA+eLLkLABbKFgv8sbnV1BJihFNOm8pJFcmSk9WWgj5wgAzFctJBOHKoM6Svzw09Xlhz0kXuSAPA2Qpgc2xB0JLzBRLtSpO33OodU7C5IUhHPnUe6Ed4sScJRwXtI/Kp8zBJcMycNMcWVTminm3TXiR4wJyTJsqI7mNJ8w1sSokUZUSEQpWbPOUGgCdtbuxKCRWoHKW+h5uYyZy7R8Wq+8ftsBwfEUwgDZcs6iMcQgBXmccoZ/DPk8xJlwoKl1AoIclgG9Jzt48oE2/0EnO3IalwCR4u8hj/+YaNjeSmOhB50KrD9h1s82wTYUezb9BESADM2GM4AABGWBX6UMq6AWJzpaNOrHZiuepqlRKC2rJcqEq8WKY6QLBgWhWhENeOjHLINAL3MUMk26A092ENAZhxLi8IKWGpWkujEMaOzZxEvQevHOq/7zi9PvHegVXiVdkadRdlTozGoVCB4EUbS3BenBZZL2QC6mrgqh1FoiElWOL845fUcqejXvHFn+/twJd/0YvUyvKyuvD45UI3oonqAh5v0r7Bs3mPIJG9wp8HErl8jaVS+daq9FbBKkGBnzNVLUdVfaKcNgDpUBFht28QSEATHsB4HolSwgSw4QTSBTYYBcEualM/SWyBPoQFIi5S8hA8KLAv/j3Xl9omle+o6BZVUxdWSnDlpCEAdMhqS5kENAUySHMy7ZXeygHg244tnJNWsG3c71q9o93KAMD4e26FP1kBLCAupav7fZ/3PQsTx0rALsvPqXuKcw480+vLdlKCqb4tRoowbeBvoqeBSzd5i1+Vzg2S3OFRnID+g2Nsc47UGsap3sH8Hunq/rgdRYkyonuZfb6pfsTjjVJCJJVveThLUzkqYnPjVZSZwjipJDY3JoehH+HfNuskmXqIW5mHPXenzuOzPaDIf3mfLbdSAq0gEldDUUQZpqKMOR9NHpPE5uqS2k8Ac8eOsbqxb5jPaPYNmggRgKmy0gtJCQdCcBtJCbclSAlJtYTHKrJwCHmjelEAmP6CVZejfcM0lRLmw74hvFwsEvgeuki5HKsHVW1pVGF/o/LPQW+YSz0oSdRLzolVkRJwjlituaXRGAgOcxwKgYQ6yzgRKQhNi6wX9py4FK9HpXsRoUffoqZcRQR1109sb6qVlWXVZsigLC0t6WPhM03MZ5gKYCWopB5XosGL/0ZBkMgFepmfciupqap0qkpQYDsgkmCWKSUgAAySNFYbDHHlqqsCOCew4bRvEFRSqxIkoKmcjLIF8k5XU2cqgM0RLFlyF2gpAJrS5A7z+RL6UgIS5crJSAKa8EqX3EtvNbXKC7bR98EF4OdWnHD2owUAjmxpdFX6cKilXEEq33Z9HnnLPU7yFSeyOeaupuZVSkvWhhSRydmXAGYh4ajwOEkDiLKcnKzqdn2WbYMhHSdJRRl6fIH5GtoDLxzpcVJC7vAR0iTzjdhSpGwinCLGapJkgjY3Hql83uVLVoxKjZOOa7KebSFRh1ZKaJHHw3MEeaD7ITV4+wgB3PFKMkahCgp+F13d72gDty8l9g12S5H/P3t/Ai1Lkl0FohZx487Dm/Nl5svMyqysqqxRNWlAA6hKgEogJNSAEKBm+jT9odUtNQi6aQkQohm0gGZSw6f1Eevz+R8+k4QEGgokNE8llVRSqVRjDpVzvvm9O8SN+a9j5sfD3cPMw4+5uZn5jbNz5br33XvD3cPC3Mzc9j57i1KhLdzbnfSequtoY4qHob2PvY2ezElHQLvC2kj/Hji+oY3gfQNGTATMMAanBIuqUJhvXjYQMA8lVaGvBCNgJjn73LOKmC3z8Rly1ZwSjgaTxqoIUTgVt1X12aoKzT43r4ooYTPwuDKOQahn6ZRw+0SRrxDXoJsTX70/FCGAYqEz75SQiqPiG4ey0a5QSLcKaNopYT4ndqLtizCcocvRWcFYt2kTAFHdRe96+5vF8UlfPPfCS0v/Fv7m6PhEvPsdb/FybQz3KLWAXlKJpkgiU4W/CwLYPt+7SnxDNat8Gkmk35A3W7wrC2i1YNUNSFUz5+fnd/M+8rnU5dX91YgNqr179T4pKwqn6jrh/Uv3Dg3JBagmlDFnllPaUZKWOrKtrusEpZrZok8qsg2cEgzxDRQSfAnJQLHTLrp31K3up1jMGwlgUzt2kwrg5H9YSC0SwHjsaud3UZUOa0ytU0KZwKNShT+tKnyxAjgRDWmvQY0H0Cclka4ZJ6nxDaXjpOWcUyruoAiOarRj+b2dtONUEcBQ4Q+CGfvzl7h3UMbJgmU/3rulc06F45JcHzTHXEboK/FWScwNweWodM4hCgorR4qUROssnr/evWUWFKprROGBuv7qcyZlvKIcB+Y+qCg6SSr8lWjC/PdV7m+qql/nrlLeJ8EpYZqIO8yCwuqRInpBCtXxAXJgs04JZcIn09qPETd434AREwGDm9RROCUQ4htgnIRnVxgHL+1s6KtC2SnBDxEcIQGTVjtHSBY0RWLCcxa868OMsLGRqtBeJ+qq0LOEbGFBL0IxSJPuQcHmxAgs7tNIo9GEtM4/TMjX/YSMLcY33B+MxfGwOTcVE1bNPQhI4OL+YWjISNLk+1WZF+exRk3Nicn6OcJ+DZ8x7h+ctXlxHMm9FdWn/if+0O8Rvd6a+Gt/77vEcGi2BhmNRvJv4G//xNf/Hq/XyHAHU4WXaTM7u/kKk5OKb9BtXFYjqcoJYALZZqwArlklSNjJLrUu7pg3YE3V/eq1s8oDRJkFNOV9FInLMoLJFP+hPX9FGNuxrNpSqFxqrCLQVb3isWuRltRcagKpULkqXakSKl4DrcIfCX2oXNa1o3ot1Sq/jGyr2Ce7QLhkXpu0r+mcVftbXccH872tSCF877pIERRWVGmDpZEiFBeUGS2nvDoBXA3oIpG/hvn5Fq8hqVoumW8UAVzt/GrO0f+OJG4oEKjL7223C06zo0y5yxFWKgPxuugoQyQtHd3b2fkmjTWxiI2oI8SjVaXP3TuUeMtA3hLG6XJBYfXPpCjwKI1vqOiCUH2c1K/nTJ+FvLensNGh+qROfEV3i3IhnOqIvU2o8J9Ui2+ocH9TRBHqGpQAMHeMJXEcMDaqGIy52CML+DflszTGw3Ro8Q1H2fgGcGoxDNZlcW6MeMH7Boyo4hsiIG93NropAUMlX/Y21+S6SFcVev1oGGTzEq2bkSg9q8D3F6NVdWpTvSLV5bDmajrCYRCxU8LmGY1vwPFLunqtRldOP0sUwYSbE0M6JcyrnKsSijDm9ZO/PdjsLbTpxR1lZf/q4TDgnBjf2OES2fcXGxGcXQutiighOyc2EWEQc3wD7BGkzh1nzEFoHInzQ1Sf+tve/Abxd/7KnxO/8cmnxe/7E39GfO8P/qh46ZXrYjQey//he/jZ1/533yw+/qlnxN/99v9FvPVNT4a+bIYlTBv8pZVtaGkLlauSbNNX+HdrbsaLmgRwmcsAJZfaySauLuM7EVLAJq2qADZs5tesUkyvr9JRFsm2Ze1YdRit3I4m22ADGY7EO1qA60gi/Hc1q3zze5o/StHJNvUe6rclhWwzHdN0jLlTArajrlqTdl+a27L6BCwzvgnxDZXbkSSu0B8DSPaF6+2qdoIxqZM8CI4LD6OkzPkMcV+XfF11KiDPAAEAAElEQVSwyi+1qScIPCgV/oWfzUVDOtHR3AVFCWVqVnMvqcalOSUQRHAVjklxvSh3OdILjtBxoouihGkd0rKcSK+K4tyN35lI4CqOMunvSa4T1cfqrHuHWbxVXeBR5lpAdUqoKihswuXI7JRgvrenSPp3805cCPm7yqIMJVCsK5xCYugoqb6BMXNpfMOS41HGaXVMvXjLHGui7mcUd8i/1wpt6oqOqo8RgL2NnjgeTDLPDeb4hqouR4y4wPsGDK1TQjACJrzNPVaFQtUZXs8yQMUnYL9AvgDOb/dku8Ka405iZ+0Tg5Wzqo6LfAGgsH1Vqsu9WFVHXBW6ncY3xNcXXZAv4NZXdT3adoR2D8Jn/ZDELdjroyV8VQchvO/hunWOBA8kkQ43j/yLEgYJKbp5xiONYF8BP7fYxqJRTuC0WqIEeO/9BtYpqVAvwjkxJxyNcI1mC9j3iMUpYfHpIyDe+f7fm34PMQ5/5W//49K//6a/+B3an8PY8JH/+u+dXx/DLUzV9ctISwA8Z5usi6tufpbmexMqBOEZbZFsc1C5SsyF1pNEBoFHxikBlO86YkOSRKQKYNOG/MzelnxZtWVFe/eqLUntkxhRoMg2fZ4yXmKl+IaSvkGzyqe5d5S5CuSvoV4URpk9empLLp0SOtp2p5BEZf2DQhIVK/yXkW1V27EqTOPUUqeEJItcjk+Fl0uxD4VsKyEtqzakasfF15sJ4OoxN9Xvb11VuvkIi5Ei+jHWiVMCyZ0nX5W+XARXrR2rbtLIPqY9xsxMACfiLbh2nXiHJu5wNN9IIj3/WkCdyCD8deW5WyM6KncQQfeOuXirCKrAw7wOooi3CuPkkmiWym5Rdd07SiOskkgR+F4X7UIUPJVdLzV2AJ0SYMysG9+gRLbVz2+KuSkTPkmnhC5s9M774FrmPZdFJ1Q5v7oGmlMC2GHD5w+bJ2DHXOY6URbnxogXvG/AiImAicEpAdoA11ww9lURSCABg5vOWcDcsb+5JtsUxHJXRD7eoWmcroxVdbxVeEjmrkpFaPZeuHfajBAHq0LR3SUmxJzlXgdIvsCz06pgI5r4hrD9HJ4Bhv2xOBlNxKUKf4+xLeCSoHt+QgFfNiLOF1bFKQGJ4OFknMyLyp0iBmTFNqsicIJ7eDeJRYQIB7inVsUpIRUB9eMTyNQBLO1i2fqI6lOX2c5O/g/9Thj1LaA7pSRnSqbrKvwrkhKurPKLm/Hy9cuIDV/V1AbyFUUE8BpQvpteW3XdrqIU6lfpFYnLstdWjcEQxGpLSp9MybZks1tXbYnvocqiZanjhGXVapWc8uqxA5RqRwNh1zGPB0gAA+pmfJf2ScJxihbvZgLYZ3yD2VEGiXQkgHXtSCGIzDE3BPFWoR2rxDdUcpQhWtXr3DfwfPprmAtl9OItmnisTChTPRolP/eVRe1Q+qSoLYIrE3fMnRKMVek1SUvyfFO4N5YJClDwU4ay/qQ9pkZ8U07oq7ZXTgkGoYwDh4H59VU8TkGQp4QRhnGSIHiguWfo+6SuX3Vy4yTGN+g+h6pCnZI1EJFMh/gG3BBbGt9Qxb2D+MipRD/FY5TfF9IpIWlH3XqUJmg0R3FQANfy+ks74oc+cUP+G10xtOfk+IZWgvcNGFlsBI5vwE3VddNA4wEwlqFbQuWq0AwBowNsRIciYAYrQsDEXIWHrqSrEt/gJT87jW/oRJvlfpbIF8A46cerJEpI4xtWWKgHoM6Jh4kwXOceJI+XzonNjA9V5sTNMx5pFHOUTAyxJGEjHEYNCvXiHJ9xDRpblEgdFJ2UQyIqp4Tv/vt/NfQlMDwCyXlFrnWqVbYlG4vw1USmy/iGTv2q1aqAzfjiPW2ysZZ/Xzm+QV5ltWsoy1MuIdOBJDQ7JVQnHGW1nuF3pArYIklURgDDxnWFY1Kq4o2RIiV9UpJtmVzqYjW4M8cJklV+vpJ6eSZ0xap0Aiugq9CeO5t3zARwYksOkM+PXUuSaKlTQlUnlHyfWBrfUPHeriuuMAkCsE+i7bc+K716nyx3SiAcRzo20Pqk85gbA1mGvzMLZZT9nyYtiOYwUCJIIwk8dO4dDqrSaQSwIM03cPxpZpxccBci3xNl9zbBcSIn7lBfy6ITqg6B1edOg9X9kvUDtJ/sk9o1UDmRnT//srasKjrKzzllwqfq9zahTxjjwEx9MuMo04M+qeYeW6GMTtQwfx+U2VvFN/zIp2+Jdzy0vzS+oco6iBofoRM6lM290Eaw2Yv7CEaBB0HQWDcqB/H+Jy+J//Drr8nvYZ1makuOb2gneN+AEaNTQmiicXsdIoAmsiq0Cg4T4nVf45SQJXTCVIWuhlX13ClhSlrD+cAqEjDZ/OxVi29IicAzRL7k+nFA0VjISKPifrvPivLQ1c84h1W1nS9zDwLshpwTVyTSqDgvxgS8nFUSOKFY75X7g0bEesNxvHNi9n7rnyEHoXFEFpFRiRI+711vD30JDI/AcVzlvIpCJbL+7xUBjItKs512lc3PsnxvErGhrUQujx2oEt9AqiwzkCWmY6Qb8lCVbozBoFWuuiDTiyRRmQ119fgGajsaKoAN1ZaSbCvJpSZvxpveB2FDXuuUUEJ0Va5KL+nXVQi81Crf2CfnoqK61dRl7g+U97EQKVLWjnCNrsUdwq5PKtvvjlagUub2UD3fm16VrnWUMZKv7mNutFXpJU4maaRISVW6M+KS6s5TINNL+6TjcbLc5WiJUwKMk5pIEargqFTcQRDB5SMHygUuZUJG66p0rWio3GlpuswpgeIeUmJbTxPCLfZJ899WXQNVvwLTGsR0hKKjzGSqGZ+IQh1jnyQ6JVzYVhaVz93uyzG8bC+vzH3F5t5O+5juGMZr6Eh7ZyRRdAI0mBdJMTc1BWiInY1uSszJSIkywVE8z+aMiuB9A0YsBAzMfziHhCZvZRXnsagsSkgJGJNTQvLzqlWmLrE6Tgnq/c2SikF0ToiJzF0lAsafU0LM8Q1hiOzG4xsircRtAhs99V7hrcP79+1YkMY3BB47UmeDEc09aH+Je1DVOdYlVmVOjDlKJhvfsEqYxxo1IEqIPL4BHYTOlFPCFNd2oa8ksvgGxmoBSRSddbFOIZ5mKScbxcUKZqo1eblTAoUAzhPpS0mFyhX+lFxoaoW/eo/wnAmK4drERmkUBpEArlxtWW0TmVbdLyyq0tXnn1YAawQqtMx5NwQwXFf2WGWODTq7ZheuEwsVwFiJLMpFR/O2rHf+MrKGJJRZcO8wHLOyUwIt853s3iEUka7EHXqnhG4Nd4HMRdSPFDGOkxXvb/xjy3Gq9BoWHGU056eS6WVCmUpHobl3VI0Lkn8raoq3DO8B+xCSgrpxUvZX4Xm+KfTJZWuHKkK4udtCtWtQ/VwjalwiCIHLxj6prWonuBzpozjMAjJzn8zPN/AzXzE3atyr3h/mEVZl0UvVN2PLnRKqfx6Az3loX7zr4f1KFZNV25Jyfp0TSblDkNp4xM/bLLShOCUY1qSCXjEMVQ3zz5rmksVgMNpLwISwuI9ho3onqS4kxzdEVhUK6zOsKEfByVkFCFmQ9I/OqhrjG1aIgDm3td6wU0JCwETYr7E6GfY+YqqkdEfArE4/zhJ8Ici0WFxW4FmAFN+wzCkhYKQRugac9Tkx5iiZVJSwQq4rWbFeE/NizEK9s+ogNIpIcBrnp85YCeD+5MLmZQmRjqTl3JZcV7labfPTRKykv6/wHtR16SvsgOjV/321ylW8xkrXoCE28DpMG/JgCywtoBOnhOLrFYndqZUBLK9BVEcxl7rUMjgRd1SpuKxDpM+vQ5RUUqtr123Gm5w/bMi2yuRrMrnkiMulAg+3fVJH4JXZoyMJrVwnTCSR2X6ZYrVOE9wUK4BL3Dsq9kf5t6R7i9gnp1mhjL4dSVXxoj7ZZrw3SiNhKlRTk6zyNWTZkgpgJIBVXJCevK08V5QRX8RxYsG9o0wE51q8VWqVb+5D0j7dME5ShIBl8w0FKN5Kr2HJ2kHOs0uOOSOvHzRV6SV9IbsOgj4JWLyvaI4yJnEngCbwyF5DiVU+9J8Kx6SNUyrSQnsM099nBYWFtcf8PYj6giOiUwL0QSTTl4oSKtzfBMOJ5Py6dXm5GA82aFKnBM1nQRPZmtuSWrAHmwhwLKicxvHHeE6iywmDwYgLIQkY3NzrRLDBh1Wh1eMbJqUEzE4gAib7Ga5UfnZkm97ghBQDsegTeC9Anx81kLscc1UoXBOOYLH1RRf52aHHZ5+AdTnGCWGfCxPfEHpOpFmvz50S1srn2CDuQZOceOgsI+vaEhNGK+i60rRYby7U68TdF8/SnDhV/djkIrmy8Q1ZXL95W3zq6efE/cNjMR6Xd/yv/or3e7suhjvgBqaumtpIbBSs8osKXiSNqtxbLqv7kdRHQmN5fMPy41K2R81OCaYKf0WESAvoDIGdnVuVsKIaytoSr69qWw5m00oVo3jIZfvtlI1mRWQbiMeOmRCQFtAdvW0xqZK6hGCgOSWor5JwST7fUov3ktiI4jVUvQqdxXspAQykliTbMrnzGrKtuiiipC0J5fXFCuAycmbZfZA/f92qdL3wCSMK5uIOJUCyjW8oi/agEMMyc14XKVLTTpsyVuts40uFTxkC2BQXBPcNibh0IPCQBHDRvaMsBqOquKNmpEfpfJNzSliMFKF+juY+SXFBKTolLI9vWHp/lwivTMekOB3A38M1wyvmc/dMrGX+nkLmG63y0x9WO9D2eldcPx2m/1Zkf934Bmo0i+EY2mgWjLBKhDJTXVwQLQrE3DdsYgfWxOFgLK1Dy/Y8qtzf1NgDmFfGhD4J1wDkEV6nSYBWWShjcDmirKXm15YIPIbKdcL04E1x72DECd43YCABA9X1vgkYJC6hmjy03TnmZ58Ml7fB6XgiRVtlVtV7gQgYFCUAibgKRCJsegMJHh0Bs4JkLqxp4V4GsREQMJd2N5wdG9Yi6AASmqw1jaPQF/vjqeyL+5viTGAV4xtQ7DScTMI4JUwjiTRqyCmhPwLBs9kZ0DXg2Xm1nBLiJII5vqEJUQLOiXH261ijROpgPI1nbRedKOHjn3pGfMd3frf4yK9/otLfw3MfixLaCy1JtMzePWcBnf8bPFSl+IYyApiwGZ6tSsd17tL4horEZfUqZJNTwqxc4JGrtiwQGyTissQpgdKWhQq7ZVb5+DdlJ6Daq5PEHYkIYZpx78CKgvn5qbbkZlUC5fMoEn/l1beEPklxSliIZimLkMg6JejbgkZSmduSQtrJSJFCnzRWABuIMe3fVvw7Ezkv26JbVgGM4g59ZEH1SuplMTfCTtyxRECmXCeqHbtyn9CJ4JZY5SOZjo4yRZT1B2o1dVUs9MlSEVw1W3KKwMQ4TpZY5c9djvRW97Sq9CXuHQRxRXaMXOZqU8VRhliUru0TZZ9nVowJ9xT8mW4dRHGU0RLAeH2VjgKkRU88M+yn/0ZRlC9hpvl9lERYZQWFuuglwjipxpaSNRDxeQ+I9OtHw9J2lOetIISjxh7oxFPl8Q2JU0Ia35D/LOC1lPvSHKM1s66QmrtOiKXOW6EJRQYNvG/A0BEwvjexY7GpBmynhMmksksCbLiaSI5QTgmnK5SdnSdg4tr0joVY9AlYBxxs9sStk5FzUQKOFbHGNwA21xNRQmR90Ul184pZrsO4fjgAUYJ/5e18XmyPexA8B4AovEyoh3EQs2Se3TP8XRN9GJ/5tlbAPWhenR7XOLSq8Q0o0oE5cZmTIwWwP4htGqvYBqNEQoi7mgJyVixK0Gws/LFv/FZxOhjKCWFjfV2cP7cvemtnf9BdVehsoE0kMpIrIOopywDG49YhgCkbqLqqdBiuyqrKqtmSU6rC9Rv4JoIECVsYi3oGYgOukVS5avgdxbZXWwFcUsWsE1PoQKq2JMRgoB27JDYMkQOyL7io7ieSXZQq4DJCJX8NBKt6kwW06b5ISOu86Gjx/ibFN8wcvI8ufL7VXjuPpCm/TlIls8kqX15HWQVwQgBrKvzpBJELwVGxPybHtyCei9dQFbpIiHLh01wIZ3JKoFX4l+XOE44jx8nq76FypIioJ1Qx9Qe8F6fZcXJaT4Q3dXBvL4yRS4RfVYQylM/RFOlRdl8hAay+169jpKNMxfMbCWCC6xRWjRwnmziV4huqCo5qiqdM9wYKZUBQqPok7XPQnt/wO1yVUjPB+8OJHHtK4xvgvBUakxYfYZq7zX8PG4/4UFtsS/yWIoQzOiUIOmDzEDYiZXxDiVMCXitLEtoD3jdg6O53IGB8V5vHQr4AdglVoXObajOpEio/Gzd/Y92kdg0kmWLb9E77dgTVdL7zs0GUcM9xVSi6uHQiblPVF8fRuXY4iSGJtM2bAlYeo+1/mIryWJwSlvdn+byQPG+Y5kV4bgQ3FXBKgHnRlygB54ZOpC4rTc2JsY1DK+uUsNmTfQ/2Jk4c9vuss1nosWIV4xt6ETR5VE4J3/nd/1L0Twfi0YcfFN/25/60+Nx3vU10V0yBtGowVmSVuAEoAhjJtvzf4L+rbMAuI4CrQl+Vvqxy1S1JVJ7xbSIu59nTpqp0UuWqi2pqXQWw6ZyZ45eBcn4YbcwEsObvu+qzRgJGT2xUr7wrE6xQyE9qXnrlPklxKtDkvpc7iIiC6Eh/f9PI/PqVqzqnhLIq5sruHdVObySVzfd2pgLYQLaRSEvDPUEWbyVEOt4P+JbMfbJiFAY5dkDzeqOATPVh6JOwSNZdj+yTlc5eTmqTYgcKURjKpccs3qpalV793jJHipRZ5cPn3y0VHLmJZrGNXlomaJDXvcwq36YqnSAagjaCSgnoA2rt0XEQGaT/LNXvCaKEDGGhrPJFvUgRsnsHoU8m9828T+oEhdXn7lJnHuLcjRtosDFWjNXSvY+l8Q3y19UvAMe94jHMfbIj7b/R4lsK0AriUnkFLkS2Fvs/Mr5hlMQ3GN07EkExYd3LCA/eN2AUAUQBJTvaFXBTNYbKOWyDKlWh95fYVOetqtFxpuM3OzuGHVOPTgkwX8Vo8btyBExyTzgXJSSkBrgkxOrMdKYJmBXrxyjqQnv0MC4r7XFKuJ+4B8G8VxbLAL+HsdpnrBGS85sRjx2rEN8wiqjC3CfgftjbVMJfmBediRKSzxf25WJt03l8Q1x90Y17UPg2j2qV/5Ff/7gcYP/OX/lz4vPf8w4WJKwAjCSRrio9R6RjteXixin+rX8CuEBcGv62snUxoWTLHN9QHoUxz/iuT6Ybq6kppGFBaLIsvqFS5So1l5pSbYlOCQlJVN+WXDTilJDaJ5ect4oogcJt6I5ZbkveyYuOjEIZQp8su76Kb0RZwU4r5YzjMZdnfFeHIkIXMa1QAWx0lKHke5dZ5RPEDXNnk+S1S+qHpZ12xXGyzv29TGSCTiiwYDPZw1fvk+YK8VpRGCWEvhyjqh2W1I60+AYUHJULCknOPGXzTbXDpJsNuE9TVt2P76PKfEMlgIufz7J5D6p95lb5mrYkCDyMLkdLREO6zZmj4SRdB6ioDjMBXFkoU9M9w7gGSu6haW7uXnxtiLkb7bclAZSJRdCfd7nrBJXM1wnRyuZuWENC9Q5WNxTvT/y++mdZ5sTSsSLoYNMQDtldKij0v2nLsAfvGzBMtsq+id1R8pwQQ/UijYBZLkrIWlV7JWDQKSEhJs46YrWqjimaxCfOba3Lr/dPR06PO4xorGgbGVgHo4jys0OIEkJ8lnOXlTicElBYV4Zl0Q0LDkIeBZDolLAyQr2UCI5rTozFASR0hIMroGBqoxfv2Izr0NjWZ3UwTtYiZeIrX4jqToI5YntrU7zlTa8PfSkMT9BtqJo2HlMr7TQrvWYG8BKCgXJ7SjvtacVKxwqkZXqMildhJIkMG8n499LONq2mXiTTnVRTE/Z4ZQVwbjO7vA2qZnxXhUmoYvossuIO1Y56Ari6uKO8ApiCrHsHfjamZwLZJysTwPbvpdyWfE5cSjIdSKMFi3dKpEkJAUwgQIsVwBgvoT+n+rq8wr++4KcsKx0rgJW4o2YldalVPo1IBxT7ZN3YAVLsQYYgqyKsQLcN+B8qK7CqPv96YgVwyXuqem9p3Tssz5k9RlWY+6RJBKfGArSi14+ThKr0susljbfqK4ob1dhTct6KZDrVKn/RKcHcJ+H6oGoNxyCTOLNuZBCVSAcSBPokPlhKgYexKl0dv0q/pDjj6IWZhjVQ0k7Z6KXs2oMc31ASSUH5PBBoC1o231QWyhAiTUxOCWXrQaiAgo2+XHzDVCcWrnb+MpGkTWEQWNfiZqw5UiR/rYx2gPcNGKZNbN9OCTERt3Or6uVtUIWAQatqeUyP7Yrj9ipkZ8dsVR1TNMmZcEpAAiaCsaJtZKAbq+p4271JUULI+IbQAhycv+BylsXjINm6XyLUy86zPmONkBBdtUij2MRReDmrNidmxXou50W8J+OeE+OM13IzJ4bvx1F98o9ee1CMxxMxmZydBRCjHIoMrVZNjcSGIoANFYLEDGAX9u4pSVR0SiipdKxkS056LwY7bcN1IKmEFstakqii48Ty/Hf7jG+MlzCet2I2dW2CxtiOKkdaOSUYHCcI71+JO0oqgAmdEiYYnGzwmPUrVymigEWBR9l7wAr/LElURyhTXk1dnXnY3eiJo0HeltxcbZk4JVSopq5flV7mKJMIZUwxGIQ+uUwoQzmO7N+pe8f85+b+Uw3V23JRpFQmrEC3DRnfkGxi6Cv8CU4Jht9RBDdSBJdzSii3+69clU4iDQUpUmS5M0/1BWnZfEO5t+E4cD3zcbJcLawTtejOT1na60jlcvcOdb143+hcJ2jiMUPsAdEtCq4HHiY/+srh0viGlABeckzS+NI1RS+ZBIVzl6N0nCwcQMbcEMRbpW5RxAp/aEuoplvq3lFF3EFcz2rHyZJxDgRbQKLMRQn5PoUCF4roiBKjtQywaYQbeUZHGZyfSDJWRmjwvgEjGqeEiCzu0SkByE+03l/ulLBWrSrUIwGDm78rQ8BEWp2OfSiGjWufONdARWhb+nWsZGAdgMvcKvbjUHMiPF+hE2FosR6cH4URy8R69xOh3sFmvHMizhVnHfg+YyOC01iSFRM45cV67hyEjobqnsMYyJiFerCuznJVZyO+QQRHBJcwx+/+ii8To/FY/NjPfCj0pTA8QRJuBCI9T2yY7OHrV1tSN5FhrZXd0C6tvq1YuaqqqUWt91J5Q15rp00gycqqqQkb4uvdTqrIx2soJYkqZFNT7HiNBI1hM1ySc1Pok4oUMRHppKx0429pJBFsSuHCG8n8cgK4SlU6zT2D5pSA8Szz3PmFylWCVf7S3PlKRxEyO+s4WSwBltppV+hzlKWMuU+aHWVkBXAqlKkXg1GalY5/QBEdzaoRTLpqXe01EDolCl8oWelpfEPyMFvfnccshCPFBeUqkc1jQ1Xhlpqzqosr9OIt0zhZdObRjJOUmB9H8w1gZ6ObVv4pJwfb8dnu/LoKe9WnzBXdsLGG+zv6OYfQJ0vXDjR87qPnxE88c3tpfAP+vErsQFXIuBedyHXJehIEHkAi6fqUEmaK2oIjYdGWsIEG1wOW4GV7HsvOa7Oe1YmOyvoDXCv8HsdIFS9jt5YsiwyijPXF64MNLfgsy8aYqtFqjHjA+wYMMwHjt8AFq59Dky9IduLcdTKcViRgKlpVB8jPZqvqsIjJBcQnzm035ZTQgqrQSAUybizXV0yUEMo9KLNREUObpw5CS9rhsKpTwob6fZBIo5VxD5qLEqrEDHuvMI+gX/vGpR3llPCZmyfOPpPUsWvJPRcSWRFhbCIZW7BTggF/4Gu+Qvym936O+Kt/55+Ij/z6J6wbmNEeaKsES8i2LLEhiRlN1SppE9lIbNA3UYuVq+YNeYJVPolsK75e/aBc4KE2kE0W0BQyvdTiveJOMizwsos7JxnfxCxjWgWwIgTQYllXbUmLbzATwBSXAMCerPAfLyWI8LwVdTIEoYrOAtp8X6F7x2RJxrez3PmKB4KHGNhsxE0EGYuwrC0rHJdm+V99jMqJOzCaZVpHcFTmokGrXM3GDsA1lbugECr8CVXhi/NNuYAsjW9ILraeO4+rKIy81fzS+IaKgqOqkJ+NKeamZL5R46QpUoQWzeJKULi70Us32dFdpO58Q4Hu8ynjXuGeHmWdErTuPET3Dq1TAs2ZB/D5j51Lc7XL5m78sdP4huTvqjoVQTvOks12sHJVRLr93F0uOKKtJwHoYAUPvsvjG9QYVeb8JagCD8L9CWJS9bWr7VMU545SJxYLxwkAVEedLmlHeV75vsmHZwQE7xswTDbN/uMb4nFKgDG4qjgDCRisfovJqhrtxmOuKHcJ/MxOo60KDd+3fQLvCfg8XJIQQ7Sqjjg/OyUDz2R8Q7ztfqbcgzJFZjG0OToILRMRHMYs1EsjjVZjTsS5fxYZEZwKnCLo177xjof2xeZaV1w/GopP3Th2cszDU3UP7S2550IC9onQbQXdF8+Ke9CaTTamY0T1ya+trYn/829+i/g7//ifiz/6P32reM/nvEW8/c1vEDvb26Wv+9N/7Ou8XSPDLXTZ1Mus8kudEgibn2VkDXVfUsUOLH8P8rxQGVnhmNRq6sUYDDyf5hoyFcAmi3da5Wx5BXDVsQ4WeNnFHRCYvZKHtqpRGHRiI09OLXXvSEiiYoWgei0hvqGE9KJU92OF/2GWbOvS87gXriH563rVlubqWZgbpaCnLL6B4oQi6rclfKY7611xPJiIjR2oXl1eTb20AthBzIzpGCkBnIo7TE4J1c4Pf+Ys5iYTz6L6ZPm9vcweKxVeVTy/jnRaZpWvXCfUgq12zE3JfUYVT+EG+DKXAUr1bx0RXFm/SqOXslb5NRxlymIUqONkds5RQplywVEVVTiFzKeKr+C9DxIXFNM1Ud07zAQwfeMLKhvT+BjDnIPHnTkeJ+VrClduakvcIIMHS/heHwc2cyY4ogL6EJD8sAlzbqusT6rr/v/9yiuymu9Pf9FjmvPTRBFUpwSs9sOKkcX4hur9Ub2eFqO1DLIdR+CUUP7iqvc3Ix7wvgEjNgImlupnEBHA2qaMgIGN9aPk9/vLCJjNcFWhq0LA4PuMTpSQCm5W43PIRhgAKQbrMIhwuLK34dRVJZaxYlWcErAfx0CQhxDqnXoX6s2JW6rIvQnsVFwbYFzL0jmxosjBJeBZZpWEejDnYBwxjEW4vovHdWU1Pocs4DP4vMfOiZ9+9o74yWdui6eu7Na+v1OnhIjjG3BNMJyMz8y8OI4omisqUQLg5z78a+Infu6X5KbqL//ax+X/y8CihPZCW+FvqmxLfqjylF1UWy4hgClkW+FayjLbq8Y3UEgqXQwGtqu2wj9pKyCJYD4122mLWhnA6n3MyFb56nPsVMr4Xh7fQKtkxtdkX2SOb0hIy6zjhJZsq1e1qq6BRnaB2hCdEmQ7Lqm2rGbxTiOJiocsI8PhGnByLBPKkHLnyyr8Cff3LrhODMfiws56cs8sr1x1KTgykoaaN4HEuxQcQZ/UVQATCXAX4g58MIaqrQtifWmfhPc9XnZvJ19J7hnaqnSTUGbulKDiWQyiI8r5jXNO9eMUq7plnywRVlQh2qjjpK6Pm9py7pQwHyfxgc5GBFfulEC9t+fxLCouqOS8SURAGaj3hG68KOuT8N7HGUt/k8CDNk7rRE/EN5JUpMP7gQ1cdA8yvQe5Zqh4f1cBDslyCulW6ZMd+RAGm1NAptePuVkSF2TxwA4Vt/DgW/asKF1TpjPxyv1BasOtPT/hvDqXo7L3gJXB+FBbHCeVmLD6+U1COMpaMguoRpTtuGTxAGMTjEvf9sFPi7/8299QOs8z4gHvGzC0BIznSqZhRE4J2XYos6rGZ0SYq7GK1ITdIE4Jq5mfjbEVsVXTraJV9bmtnqwIhfxsV6IEdC+JWWwD5AvgrJAvecv1eNv9bAn14iG8ANvobDCq6JSwxD2InRL8AMZJEE/KebG8TjlApFEcfds3vvB158XPf/aueOneQDx7uy9ef2mn1vFgjz32+IZUDDSIb412FtyDovrkP/yrvyG+6Vu/Q0wTYurRh6+KSxfOy0oIxtmEjlQ2EZe4sQyLnHnkQP5v5H50ZYJoCQFM2P7Ezcz0OpbkKbu3ytc5Tqh/d5dZvBsqVykb8mX575QcYFh4wJ+jGnJ5VbpbO+151vVMrFWotsxWpc+FMsXzE4QypdWjtAq+vY018cLdUSVb8jLiOX8FVNFPddEQXANu6qUV/lN7oUxpfAORpHnswpb4/o9dF9/wxa+TxGppW1YiLil9Qn9vmRw4skT6vLrfPr4BIwxcCGWyVenKpaXkvBUrqSnQVgCXudpkHGVMTgkk944l91nVloTFY9YWsez+lu1Y8bi0PlG9X2M74nXqIkVmhPOXVjQTCVDZJwfZPllXcEQjTnX9vHycVA8Rc6cEk9NC1T5pvo+ojyhwTpi3YeNrmRivSmQQNdJDJ3Qou7/hPoK1hskpgT53l60n6YDNDhnfUDJQwrVDv93fXDOKEuT1EZ0SZoR+jZUiaGO54JRAFGUYI5DqOCVUiG+AdkayAAiIiztuCAhGc+B9A0ZsTgmxVM6lVtUlBExaEbq1tvR5fyegVfXq5GevRWcNDOuaVY1vAJzfXpeihOfu9MUbLu86OSaSnjFbVaeuHWeEfFlly/V0TvQ8rsRG3KJTQpmzAXAMJ0mfX+aUUGWOdY1VizRCsZ4UJUQ0L67qWIKAueu9jxyIX3j+nnRLqCtKOEz24Zbdc7EIR2OKEnES3xDBcBLVJ/9P/vm/EZPJRLztqSfF3/q2bxaPPvxg6EtiNAwzSaSvtpw7JRgqgKn27iUlwJRpJku2zTIVoabzVqpcJZAbWmIj87uFv89kfJdWpVNIqtLrq07aYVvCIlqR/R7jG5KvVWMH5uIOVT1vjhSpBt3nkDtOh7ZggOpJWGCjaMKGUNH9bdW/o8U3qMkRvnZKhDIkAtjMW5JYog88dUX8zR99OkP2l523osU7IRrF7JSg+/uESJdW9MKB4KjEUYZIwMIDHD68lQm3KPc2/m3Vv0PRY5X3UIxnUWT6rIZ7h5uYG3iwzj4ES6GMab6pKIKjEKcovEFHm2XHQNHcpMyZh1SVXhLNImiA+QZs76tcQzUinTa2yD5VPEbJIVR0x9ytRe9yRJi7DS5HVMFRtjoTLELVPVNy3or9kiIO1QksyoQFyolAfTULjuw/RxtxRf76FJle1ieBaIf7SlYX3B9oBUrqXdFEARTxFm7KYPXZolNC9TFSXqlB5EoVC+c/58nS8UWJEtSnePuERQltAO8bMEwOASgw8m5x342NgDE/nd+vmJ2NQnd1vABOCStCwGxmiODi+joUsgU3sQhufOLdD+/L3OwPPX9PfPHjF5zYh7eBgJnHN8RDBNbFqjp+4GcZyikhmjlxY/na4Ci5N0HwjWuJKvENy4q/nEcarYh70FysN4pKILWqritZfNHjF8QvvnBPOiW8cLcvHj1vb2NxmOzDgWN2OyK2zsa8OIpIXBPVnfQbn3paLsC/4y/9GRYkrAh0G9OmTWSshJNVgmVW2i4IYGJlGSxM0AYRD1lmU1+pKp3ArnQMxCP+rizju4wkqkxAL7Uupil6P/rKYXINZgvoqmQ6RRSAfaxqhT/+DMUT+lxqKtnmprr/0s66uHE8lCrGZTEYpD7ZqWsBbb4GFBzJ13d1xMjMTe48kdzI2pIrK/9l1dRu3TuQAM4do8S9Q0azpEKZepEDGAfhwqkAM24BS6NZSu6F9PxEuk3F1ojKfTIVeKSxA7pq6urk7fLc+Q4h5mZSMb6hYlwQaZxMXqM7hmG+yTklaAWFlBiMEpejGe3ehrb81Zfvi7v90XIiXVQUwZGJ9OriK7i+wWSaVp6othTW4i2Ty5FFekO6eQAbPjj+2Mx16TUQz210jTC8E6igB/S6XbN4q7Kgsvw+s3JK6FaJb1AuXdjWKLCpswbTufOUjXO4wZs6JXQLTglEgYtpDqXON1kipUp8Q6/TSTN3QZTAiB+8b8AwVZtDbnsxJqpJtNkpYZlNdXinhDjatGkg0TRL+m8MyLqyxWDx6xtvvronHtjbkM//P/fZu06OmeZnR0zAnOn4hhXrxyikkdF6HudEdD+NZfiu4pSQFeote27B4808iiDnQr14x45VqE5PydwVEzgVXYTe+fCB/P6HP3FT/MBvXBf/7EMvir/7E8+KDz1ffa6E/QJcV8Ys1DuLDkLjpB/HEFcZyTShMJtNxe7OlnjdIw+HvhSGJ+hjB5ZXCSoC2EW1Zf2qVSQ2wFoIgAs+o502pXKVUs288PrlFcCpU4KO2JDikIrnL7UuplVTw2Lxx5++LQdK+XmWjFJVYgfoxIapwl9/flycpJEDtck2/e+oG/tX9zfF+568KPPSlyl4q1alU8h8nXtGeZ/saGzJdUIZglOCo8rVrC25ciAoE8pUrACuKgpI/q6q60QaOZAKZeoKjsqz36nirZOq8Q1Vq9JJbakRwZX0KTjufDxX9lZ1qqlNURzz66iGvY1equZX12AmgE2V8AvnJ4yUOA5pBYXGawCnBFXZbazErnr+EoKSKih8/cUdeazP3DxxQ6QT1w5UcSVc32AEkQNYlb4Yc0MRZ5pcjqjzNgIqS/qw8bVkLVa1X9La0uBUVOKUAJDxDZo1ECXmplRwRIwvmF9fV37WZX0SfgdjFBIHuo0x6mdJvT+RhENxQtFRhjzfGiKQKHEa+eubPzcsdUpINr1YlNAO8L4BQ7eBjXc6iox8YJS4cIGIuS0EzJwcXb4RHCI/G+a/VXJKAGEfdp9YKvGwX8N1xbBx7RuwboC9FABkaLsgH7GIKeb8bBQCjTyLu5rEOOnLqyZKyI6fPkUmsRG3VYR6h5lIo2WA8XA7aVtf8+KqCfWy/dd3/EgZ8DbC4oZVxZc8cUGut1+8dyo+9MI98dk7fVkc8WOfuZWOt8sA9w7yLLjOjBWb62dLrDdOhWPhx+io7qQnHntEnA6GYjjkCpVVga7ysIx8zeYp180AXkYAU2rbdjd64jh5yMBjmu7v0jzsAigV/jZZ6bJaGUmiBWLD/B6qnD89DpFY+B+++DF5XmkBXSnju/x4VAtERWbP6JEiaSX1YoUhRSgD0PUPG5IoJdKXEMBVqqnx95Wr0k0EcMl9AVZvuL6rf38vc0qgL4qxT5Y9X1W5v6mRHvI1C31S3xby/GKW3tvwv26MrR7fsMwFpUN6IEydEirENyztk4IGbJuqfUoJZZINuRLXicruHaVOCdX79q50SphXRJcRwCjOqeKWQBHBAaoSwDA2wl8qlxGT4Ki69WF5NAttnDy3vS7efe1AbjQuI9LL7gXbsUUJLHRV6fq/h80d2FDBBwiTeKt6nyxxSrB4RlFzzvL4hkptSXRrMDpvGf4eSHQlNjKsgYQjwZGtU8JaR7pilPXJXipKUOOUdg/Aph0rzjfyOrsFp4SF+Ibq/VGd37AGsnTv2EhEE2WuW/L34EyRkGBYLcWIG7xvwCgCxp90E9tjNdNwHJtTwnKraopTAm4WoxNS04BzwPy3SgQMzL1buOkdSSUeCh5X2ab6LRm3BBAm1O3XKCqPuSo0e89hjn3bEZubjS/A2hY/T5+xRml7R0B4USONqt6bqdDBkyhh1YR6sVanjyMT3ITC5d0N8YGnLos3XdmR8Ub/zduvSpeRk9FUfOK140rHQHEsFPj6iEBxE98QT1904x4kgiOCS5jja7/6A2I8noj/9F9+IvSlMDxBZ9G93OIdiEt9BTCNSFdf9ZufNGJjP+OUgKRlmbCiyuM8zWLd5DhhvgZVuVpGElGI0yVZ6USBBywGgXiRGeRLRAlVNkdqVwkajtHJ5NRJcYeDakt5Ps1bsiGJdta7KutsWsEqvwLZBqjVJ0ucFtAFZU621b+/je/Joi0l2ZZY3y0Vyiw5FonsSscpzTE0f6+qVBMngiSapWjXRxpbSsUdtHESNjV/+aX74ulbJ8sjRapUUqNTQp3M+SVCGcyghD8xu04QyHQH8SzwYA33yjBZFJcRwOmYsuSYVKcCfE2VY8golaly5jELCqvfEzpxSe4abO7t0XR5fEOJqGR+ftpmvW68KK3u7yor+lxV+ix//jJhZ9X3RBVmZqtUZVtWcZ2oIDoiOSUQhDLYlnlxR+H8JKGM+R6jOgWk15eS6aKyU4Je0Ej7KLXjZMncnTolGOZuqnhNrR3q94f59c2vqwzwNrASpyhQYcQJ3jdg6IDErlcCpoVOCRRRAlqAzzwRMFmr5tXKz45r03scGbHYdreEtlSFSiJ7LT4ysA5WNb4BXex8f5bz+IbI5kRHQr0QDkIr6ZQQYXX6Ko8lRXzh4xfE17/nmvjypy6Ld107kIU+gA+/eK/S69GdZC9ikd6iQOZsCPXGEfXjqEa0r/kdXya++gPvF9/xnd8tfuhHfyr05TA8QL/5ucTiXRLA9e3dSwlgC1vyG0fDNK/Lhb07ZUtURyqXvQesUlQCirLceQKxYfjdzNYCWhIb5RvJYNJZlUyvCn22tJ5UgPaRFf4glEm+XySAKWSf+ktXVShp1eoyxwnpWLK8ul+4sIAuERzBAwxaYen6pLLKr17hX+reQSTcYFNMOSWoym8TqsSzUNoS3oeOpDERPWgxD6TK/N7WjJMEArjUKaH6WxGXdjbk12dvnVRw76gezVJ9nNI7mZjjGzBSBO913evdWLzj+apuFsH/v/bK4fL4hpJ5zvS3y/9Otdii64SpT3bk/CBJ/1JBIYEALmtH4r29vdGVmxTLx8mqjhPVz20UaBjeA4oR1k0EcHrciuc3zaGWTglQlQ5V+8vjG1Sf+LYPftq4mUOec8CRg0Smd/IxGLWEmWXuHfZOCfLYZfENyRiVOiUYRAmUe0KJOwQ9BiPZwF4QypDjI8xjP/XeVteXXNeSmwIeynHDljUJ7QDvGzDKCJggVaGRVOGiiAAq1pZVqEFlWyWr6qRdy0gd16IEmONwnl4FxLbpjWKbVa8IRbcEIMa+56Ovif/4G9fFv/7IK+Jf/crL4k6/usPvnIBpQVUoEtkRkYFnhYDxje3eWsA5MY72RlcDaAPTszwl0si3KAGuGV1LVtMpIY45Mcb1Xkx4zyMH8kn9mdt9cftkuPTvD1vgHFScE7Oi2bMwJ65FsBaJ6tP/S9/xnXLTa73XE3/hr/198Q++6/8j3vrUk2J3Z9v4Gtjs/qv/6//o9ToZ7kCNHcD4hm4pkV7x3MnmZlJXqPl9dZzfXhe3TkbiJ56+LX7T684vIS2rkc6Uik8Kka7+XhFKsI9dljtf1wJaXYht5erEScY3/l3tKkETmS6UUAZEtSaCiRrfMHOUS101vqFKdf/8b+2rwpdZ5Q9yFcAa4pJAbpRV4lKrmbEtYXNvaXyDJmpBe32Ec+vGDJObC/ZB+MxhsawXh8wkGek7muWR81viS5+8KAm05fENVSqpiWSXUdyxZL4praauH3OTVreL6oDrgk2xz330XHl8w5J5Lr0GQYNWCFcSKQK/m5REikhHmcrnNouo5I+79OoJjG8on2+qCWUoxKmun5fN3WhFbySAk+/rOqHYxAXh5lM/scZcFhmE1ejw0Lq7oVvnwzXQKuwp6yAYH02OE+S5O/l7nZjTVmOIwpO1ZfENMxXXA9+bxhfaGmhxPVfWH3BTxiSUsYlv0LtFzZp1SuiAKEFtjkCbMuIH7xswygh5r/nZiTAsNgLGJCCA8fT+6YRcFQrPlD4IGNz0XSWXhBirQpl8UYC1IDy//ttffVV86sbxwnjzNW+/Wqk9qaRnSGA1dix90ZXrx0qKEoII9ZI5MZL2xjaAZxLo07hO0Ar1Ks6JOM/6mBNh3yfpwmJzhebF2MRRUHyIT4ixrPdiAnBiT17eEZ+5eSI+/OJ98dvfdLn074/SOTFe5yDEViLuiqUvOovnimCMjmpF9H0//GO5zbCXX7sh/9cB/45FCe2GIomIFu9QuQrVll0daUkngPWbuDQCGDJ1fusbL4m7/VGFzPnqTgnVbcE1FtAlFBSSY/mMb83ra1pA25IbKEpQZPoygUf5sajV3MYKfVOf7GaFMjpxB6WSOiEQZ67asZvmey+zyl/uOKH+oDpxaKi2NFUAd5UoAR8E9EIbCkkElbgG4tLCBnq7p5wSqsQ3LO2TRAqaYnePHzNc51YPI0V0Fe0Vz10i4lA/7pAJ4FdPx8rKv2Z8A9WqX0cqlzrzgOAoEyFjrKau7N6hb8v0J4T38s1f+oT4uz/xrLweVeFPn+dy12CTO6+tSjf3X7xOcztWPHfJeKU+TxvxFjolmP9Od911+6TZKUEPfHDIWuVnCVS8vuqOUXqhhU0MBhLUd8aqaqxsnIR7Hx/qjE4JxHObRENlbTkn0mnCzjJBoe4lVEFhrsK/QnwDjFOwgWzqn7Q1EM0pQTmXidJIEXp8g2actBZ3dCu9HtoSIpqUaIpFCW0A7xswdPBZ0R8reYtW1ejgWFxvy4jEZJyrapsLooSbxyMvBMwq2lTHmJ+9ytXlRbz16p7c6wOLd7gXoGl+8pnb4tdfPRRf8ebLKWFxZqpCI6xQrgOI/wXgWnU1I418CvXiGjtgboZ4peFkJiOIdKKEVKhHdEo48TgndjIFCquAlAiObE6MqW/Hhvc+ck6KEj7y0n3xZW+4VLrfe5jcO62KbzgjooQxzokR9OOoPv2v+sD7rKw5Ge0F2jpX3QiGn48nU7HZU7Znyb0UBQEMC5iX751WiG+oVklNcRjQCR3KhBVYpQgvURbv1SuxjeRdCXFJ3Y/fWQc7baimXlZt6T6+QbchXuo6gcQlWKobiHQaSWWoXCWShqjgxQrgsj5ZVnmcPT/V4p1SlQ7kEGySXdpdz/TROvd3fuFY9TrKHugwUmRpNXUl4rJuNXU5+QUPg4oArheDoRuji9dGvreHSQzG0nvbh+NEiVNCV4jToYpmMRPI5UR28VpL4xtEdYCiGK4HHtIwqoM6z9UaJ41t2TGOabgxDte0EHMj27E6kW4UwVnNN2viZFghemlJbIQ8P7El9fON+f5EVX6OTM80Bh6quntHSYSVjVV+RmywjEzHv7vXH5deX1XonJPKxJUqvmGZ4KjquTP3WeE1lIiX4vVVEXeo+IaZnO+L91V6TQToXY7KY26A+DdFYdCdEvTrERsxIQDn66Mlm4bwd0eDiRJ3nI39hjMP3jdg6LAdkICJpSoUqgvVfoMSIBRJUCRfgFSpuiGJQgevTgmrJkqIrCp07gCyWp+DDrAW+y2vv5j+G9buH3/tSNw4HoqPvnIoPu/R80uPgZXYEN8QO2Jz7agD+QyaLCtXKQ4mCqeEiEQgMIcNJ2O131j4HdzPVCeT1CnBY6QRPKPEHv3iErgGiMUyH/eWO5GQuTHiqSu7Ym9jTT53g7MQxB8tizRqg1NC6h4UiUDGnXuQCI6oRAl//X/7xtCXwPAMCtkGgEkYJoMdWd1vIEWEGwKYuh+vqtIVabk8vmH58SjkhiK7qtvtYjvi9ybikkRslFWl21SuSuKyvsCDavmrKssLxyghWODYsPA2t2N1q3x5PEPGt82GvKqcVCr3uvENTsQdJX1yI7nWObFhEHhUPX8JgWjTJ2FRDDbjVaqpq5BAtHGqupMJXhsKZUyCo+rRLOUxGNTleL4qfQkBvORYVKcGbeRAGdmWCo7mr88SwHgNpKr0kgpgmlClI3Y2QLyViI5KPtCyz7B4zKqAMa2q68TcmScrgiu8lkQAl/RJq/kmcZRZJjjSvGfT9VWF/GwKP6tilZ8n07OvVXdEZdFRSVW6zZ4HVG/AxgHsQZVdQ9Yq/+7pqDGXo3IhHBDpJYIjSsxN8lU6ZRVeYyMozH7WZX1SxjckogSYo7TOX9SxRSNkWLaO+pp3XBXnt/UuRzCGUjaB5f09dSeUkceUJJxZ/IJteTpORAnslNAK8L4Bo4yA8VXhC+PjMCFg4FkmBsA4rGLnJnJ9syhKGJFsqgG7yTG8VIUmn93qOSUgERxHdXpsYpuYAOsqyM/+4CdvSptqiiihVU4JkZCBLsiXVe3LqVDPZ6RR8kASU3uDiODu6Vg7h8EePu6N729VI0h3k3b1MyeuqHtQKtSLZE5E96C1jpUL4ioA9i3ede1A/PSzd8QvvXivVJRw1KY5MemLg0j64llywlqtUY0RHYwkUUmF/9wq30SkOyKAhWjEAlpXQa4D5Rp0BGzZZrx0nEhFCSaBx8xNfIMFubGdVvgvsXgvqZjN/R2FuNTmUi+JFJnAprs5UsSdUwKtIeHaYPEKVS1ludSV+iQSp5XPTSMe8aEFFdXwudfJ+DZVUyMBR72/4bpgIbo0UgRiIypUpZP6BCErHa8tP05qKoArnrusb9gIZeCBUBLpJdX9pv5T9/zqsym2RYkLSma+kf/WRGFQ3DvkOOkgGiVf4V9hzqkU3zBrzHUiGyki5xttO1LGFrM4wGq+cR3fQDi3bg6bVhgne2jtX2hLSn/E888cOD6k17emYniWjdO9Ck4JLubOMoEHbCik7agTHJGcgeavcbGeBDy0v2k8JgLmSVh/wLxkItOp97aNaAhsjU2OMkqUQBNFGN+H5XPzu68dLP0bGd8wmhrFHQwGox3wbVUN4y8OGXERMF0jYXJ/QLOpzhIwPuMbVtYpIZJKvNE0vmrnmPDOhw/ks+wr9wfSLfVMxTdE1hedWa6vYF8O4ZSAQr2Yxo4yF6X7CTkKeytVhdQo1PPjHjRZzTkx0vgGjAZk6PHeR9Rz99M3T8S9vr74JBvf0Io5MRWNTisVe8WOcdKXy7g2X4j/0zdgOp2Kn/y5D4vv+cEfEf/wr/9vQa/lpH8qfvQnf1589OOfFr/+iU+LT3zmWTEajcWf/mNfJ/6HP/4Hgl5b7NCRROXxDR2pdlXVlrqs9Jk7Api4+6mIjaki0peQbVUGMgq5ItuCYLeriPR5NaMpd756NbXZat2G3IAFFwz4y0Qm1ey0adDHDpQTl7DwhkW3uVKTUgFdcs01KlfL1k5V+iT+lmL7T7GA1lcA1yCATRXA6fUJcjsC+bM8vqGKe4eDPlnSHRSZPpUV/iaXharijjJC264qfa2ao4wUjC1rRzrZtlCVvsSZBz5z/LxNZF11RxmDCC51ShCNCDxMxPPi3wkHrhO6v1U/hXFSirdMVekkEZxRlkAeJoHMhSIauL7y+aZaXBBJBEd0i1ocJ/NtSRWvmarS8XdUrKfzTfmLZXxDssFgqsKij5MmcWaF+IZuvZib0jgwi/Uk4I1XdsXvfPMV8fCBEifoAPc9iOU6yRxlGqvJQhXNerDoAGGCFGdmLgQi1yiihDLRke1j81e97QHx2990ufRv0L3jyu6GGCSbqYyzg5j2DQC8d9AcICbMJwEzHGeqcCOyuVdxCyO9KAEtcwlOCalVtcf4hpWrCo2sOj3NhY+oX8cEiD95y9Vd8euvHokPv3hPPHxuq/Tv51Whay3qi+2vCkVxDex7rpL1PYIjjZbHLeCceFDRJSGUUG9zhSONlrms+gB2nZjENjHi4s6GePT8lnjh7ql49nZfvOuaimfOAj7PozZFGiX3HmxxwNpoo9fuPjBK4xvCv4/WiRI+++LL4nt+4EfEf/zgj4tbd+6FvhyJ5198RXzL3/gHoS+jldBbF5eTbUAcmG3JbTKI3VS2QUWCrLacLiHSCUR5VXKB6pQAbaeq++dW+cU9WFLufFklrkXlKlSagHoLNrZLK1cNxPPC9VGFKloy3fT3nQzZtlhtuaz6Vnc8F9WOCFg0wUJuWZ9cXpVuQQBTnBKWkG34epJTgubntsJG6ZQwmS7tk0oMsfx49MpV3VhXJjpC8Za+T1YXPJVEs1hVpatxEqvm68Q34N9VhRJPCU01tP4gHRQc5fqkrpq6Yp9cJpQRNGynTglVxFvVREf1xFv6tsAfyXFyrasXHFGq0kvuMZv7G9YT8Gy5rMLfJHRaOD+RAK4azZKt8MGH4WJbUucbc1W6nVX+fL4Ry0UJyUZnmfsEbZw03J+ma+12M+2oF8hS21J/f9ur6b/gdeV2wDhfQr8wimxt5htdf6i4D6Z1SiBs3pjEpraRInhNuBlZGoUxUxt+PqvJGKu3bwDgvYOzQ8BkCa8YKo6K7XCiaYfrRwP59dLO4kaxCZARLI/n1Skh/o3qRojgSOYgjm9Yjvc+ck6KEj76ypH48qeulJKG7YpviKtC2U129moRuojtAOMK7JnFQnjlhXr6OQznxMu7G9WPl8yJVWJJnc2JCUm/anPiLNlHCr0miMnyPnY8ck6JEl68dyrjHIrAPUxoyb2N+OdEVYCqOBO4H2OJa7MBjFdQSB1LX47/04eB/nQgPvhjPyO+9wd+RHzkY5+UP8ONv9e/7pHAVyfE7s6W+D1f+dvE2978BvH2N79BVmL8o3/2r0JfViug3ZBfQrYBcWCqSqcuCEoJYOL9CZMkVKxBhdWy+IYq1rAUWxgt2VZCYqO4AzeKjfENwoVTAp3cWK9clb68Aphup02rtsSKTyAujU4JNc8vj2NduarumeWV1MvJNppVvqaqvETYsJGSbXOhTB3RkYmIpTo+IOC6holNdtkYY4qNKF4DmUwX1dtSkulynOzWdu8oG69sXVDg/FDhv+agHUXtyIEyF5SObMcyoYwUeFQ+vylSZP57G6cEOe+VOaFUiRShjlOmSBHd+TtqBoBqQmxLishGd7xS9w6LgRIr/Ms2E5Gsfe52X9ztj7QPWFSnBiVSrN4n05gbk1OCg7FFXYNdVToQ/dCOy+wloR8gYWQSJVDHF72TSUlbZp0SDMIvmqDQMCbVINOXAddHawbHK1uhzKJTAvTrqvdnvi1t4hvMc3dzD87YlioGo7HTMDwg9n0DAO8dNAfctPYlLkqJ28iqybEa+47GOvfV+4NcTFC0TgmrRsAkpFksTgkpAcNVoUY8fnFbXNxeF7f7I/GxVw/Fex45p/07VRU6ITuUhM/PjqMv1sGq9+OgTgkRtXmZi9Krh0P59arFnChJytF0qfjZjXvQagn14PkRnnFh/xXaOBZRQkz9OlY8cn5LiM8K8ZIh2gjnQ7hvYhL0lu2PwP4WCH2hsOagHVS6FlAciIhBWxF1S/7qxz4pNxQ++OM/K20OcVPhiceuiS9/3xfJ/9/4+teFvkzx6LWHxLf/L9+Q/vtnf/EjQa+nTdARh2VkOEwAkMeWVqUTbI/N53fjlACDKQxUx4Nx6cBaOb6BWDmqr+A1XYMiqsvJNoLFe0n+u011G1alKwJ42XmXVwDXdSoorbZc64j7p5OkAtgUKUIVyrgRd+TstMscJ5L74JPXj8SHXrgn/vB7rznJStfakndqxDcQCD+dUCe5CnV9FY+z6JRQLpSR1tWzmfjBj18Xv+X1F8WephpCtQutcpQi0JD3N7p3dDWvFdUrgPHvtIIvi3sbPv80d35ZDEaFqnRSNIqmkr48viFRZa+vLyEuq5N1pkpqm6W4cp2YVohvqBAp4kQoYz6GIqEn8rOH4gltfEPFc5e9nzriLdgExo0b49g8nYn/9BvXxY3joVaUQJ3vKDEYVcZJq7ggxyI4eGCvFN+QbLCUEcC096KPHTAd4u0P7ovXX9oxzrvLBGj687tZT1YFNjPGouhSB6hrB+M4SRANgUDXWpRgFMrYjZN2ogRWJbQRbdk3APDegY/8bE9OCRFmZwMeOgAr+fvi5funC9VpdxOr6gdL4oF0VvW+rapXLz87rvgGiAIEcH52+ZrnPY8ciB/59C3x4RfvG0UJcN/gehDvpZhxluIbVr26eS5K8O+UgCL6GFAmrHvtUAn1HiSIEqA/YeQwHLNJUcKqzomSCF7vyvaNQSA1H0tW63OwdUoAvHo4kONBUbg7dw6Kfz5EgChIihJa7iA0SkRjscyL0YkSbt+9Jy0Wv/cHf1Q8+/xL8me4yQiD0r/6v/62eNtTTwa+SoYrGDfkjVWCXdEfDtMK4OIGLLVK0lhxabkfKUUJw8nyXOoKx6KQwDqr86XV/ZKAwap0PXFZ3eLd/J5sCLfUKUFavC8TeJQfi1olaFNtCeO6SSijxB2ifpWgZbXlevJZl2U1yXtpNhOfvHEsPnPzxHxtpHtLYwFddm8nm3lz9w51TbnXU4Qyhtt4XpVe6TDz6+uie0d5n5Rq3ulM/MLz92Se1m8y2G9TTq/vk+a2gM8cNmPNjjKUsaVjvI+k4MeCJtqoIpRJrhNEAeBWoBV3kCNFaPELveTeuZgRb2WVpdQoDCku0f3C8t6GdoQFvRxjlgo8hFOYhTIm0ZESJcBD3GymYlBs44JKnRKsY266YjCaiu5OZ4m9+0wcbPWkKEF7fioBTHQymY+TekcZOT4JN5EDdqKE+ZqiDPA2wEYUHHKK95StEA7HjMVj6I8Cm0e4gYQuB9nx3abC3xiF0ZBVAh4XiHRoUxfRT2Z3neqvn8ymOdtcmijB7JTQZJQoihKALGBRQnvA+wYMEwEDZJp6fuuspFPCtXOKXHn53iDXDrBBDDi/3SsVYhax69GqepAQoSubnx3JhneaORyZ4CY2gEgZRAlgUw37gDrRwWEiBIL9mNC56LQokTj6Yh2suigBxxXYG/IxJwLAXTS2Nse4otcSVwQEEKY3k+f6q/vV4xsAcK/DXhE4VzYJ2KNYxTkxy6/EINZjp4TqOLfVk/cHfHaw7nz0/Hbu90dDnBOjo6TLx9J++x2EsB/D8BzDeiSKHgCT40/9/IelEOEnfu6XxGSiJsytzQ3x/i/5AvG7v+L94k/9+b8ale0iww1gs5himSurlaczZZWvqQC2yVM2b342U5Vu2rjW/i2JpNHZ7ZrJLNhUQGVa3U3oMscCm41k9TlPl8c3CCWGeObWiXj0/JZxQ6h2hX/JMaAt8ZrrWuWr8xvIdMtqamgTWAzAwsAEaGMQ+OCiQPfAQrXS1jsllPdJeb2J8hQ+9my15fy6qp7fTBDJ34tm3DuQuATcTzYg6t4T1D4J13rvdFzuKEOo7gfAMdYKZ7QWyiRV6WXV/dAn4Zw/8BvXxUdePhTf/oE3Lv6RjTNO8RClzjxdFc2Si7lZuASC64Q+5sa2klr1SRTKLDtv+bHoxOWi0GG6pC1BWSzvj6lmnCS4d2C30W2K28cOqD5Zdg04ToIoASAdKgovsHNKqD53w/uF+8bkckSfb8zxDTbAe6Xs3gbA9R8NJ6VW+XXHSfi+6jGwH2VFhFZkuvDrlICAXMMysQ6tHTWRIiSXIk18A4GsU2vkxZ/b3ttVgZ81rIMyBQSMCMH7BowyoOAexhFwDWva7hfEs7FVhAIe2NtMxbW3T0biUpKV/cohPboBgAKGWeK20ORGMhKhq1YVin3Vl6CmMgETWd+ODfubPXF5d13cPB5Jq+o3Xdld+Jt5VWgU2++tixJxUbUfE0HuEzh2w/4U7Bts9Dor6SB07dyWfI6ASKOjwTidw6DQAIY6WDscEO9PELffOhlJp+QmgY4lqzYn5gVS4V1bVl3gRAGsX8AtAYoeX7x7uiBKAKfpNs2J2b64zHUG9gj/xYdfkvzG173roejiKcaR9eOgPeCFl16RQoTv++CPi5u37qSL73e/483iqz/wfvGB93+x2N3Jd95VwNf80W/U/vz5l14Rjzx0VRweHopYcXJirrLWYToZS4vNw8P5DTEcjcTp6UD/PqdqABgNT8XJkdo2vX//fvrQdnJyKqaTCaGNZuLo+FhsTNUDOuL09FSMR2NyW3fFVNw/ORWz6dT42tP+UIzHy68R3tvR0aEYVtjM7fcHC8c8Oh7Je0p3ntFgoCpTk99PxtDm+dePJ1PRPzkRh53FLMoihoOBGA5H2nPBNRwfHYspIRdy2B+LwWgiN4b7J8fisPD5pMeeTsTR8Yn4vk/eFV/y2J74TY/sLR5rNJJlmVU/S/jsjuF9r88nm/F4LPuE7hCdpCJw0O+Lk9lQTkLZc/VPT2X7Vu5LkDl4dCw2C+95OFAKXvL9P52Ik+FITMbmNhj0h2IEi92x+qxfu31vQeWPVmdVz98/Gco+lP37k5OBmE7NfR/mxcloKH8/Gg3lplT2b6HPHh8diXGFBTn0ydFosd1x8/Do6KjS+0hfdzqWlTtwDSfHR2JsuC+hTx4eq3Hw1lFff/+NxmK0Zh4jNAeV/Tx7L0Kf7Pfh+FOzy8BpX3TGXTEpjEeqT1Yb35Dku394mApHEIPhQEy71e+t7PUd9Qcy28/YJ08HYjAai+PEW0D3d4enYIWpH+P0xzyVbZ/rk/1TY5+cjAZyHJ4lc8pkMhEnss3n8xVU/Fcd30bDoTxe8VxoMUxtx+loKE5Oh3Jh2T8+Ft2RfuNdzgNHR6I3MS/5YP6AobLyOAnj1PGx2BHzagPoZ/3+iTjsLT6Yr3VUPxr0T+QG17gwT8OcDyKkKufHhfT9+4cLi3y454fD6n0C0RUzOU6Ok/HHNKYMRiMx7anzv3zrrjhfEHsdnwzFtGT+L+K0P5Bjb7Et4P42HQOGv9EA+uFEXm9/Nr+PjqQQqvr7V3P34rmOYf1Q8fPQja/ghlH2WlinHQ9GAm6b4vtHgEB5MDCsBU3rgZP5mIhjF8wZgyUPXek4d/8w3UCD8Wc0gHm/OkMt55Vh/j4sG6tdYU1M5TrjpL/4mcGYVWXNieifjBbm7sFwJDY71Y4B49xgMO9Tx/1TMRtXvydGw4EYatbf/f6pHIObegYaD9VYtj4dyr6nOw/1GScU9vf3xVkE7xvY7R08fPVK1HsHTQDmSeDSbt65XyrKdoH7R6fpOie2dr6y0xOvHI3E06/dFRtX1J7aC7fU88/FTfr6fasHIoeZuHH3vpglVadN4CSpoJuOYA3QznG4DpEHy9zb9+4vPHf5Rj/Ze8Bnc4YZV3d6UpTw9PV74qGtxfXejXuq326t6Z+1YuvXk4RkBfKl7Z/94fFp+qzX9vdiAxmRmBRW3Lx734tdOj4PjoenUbX5xe2euNUfi8+8ekc8eVHZyz93Xd17l7d75P3Bza56Rrx1eCIOF7VIznB8muy3TAh7ymcEvWQP6Q608XZY1Tjsu0mU7Gcz5riy3RGfhHvs1pF4+6X8Wvz2UV9+rbq/EAO211T/u37vWBzum/eWXjkcimdvq/f3o594VXzho4scVUjcO1GcAmx5wdoj9L5BUFHCV379N6SVTdceekAKEb7qA++TxDtjdaCbWsoqgAFYAQyQ1fQdy8o6U0VWjTxlsKsqe4Y0VdPlzo+RJRXrwtAxYPHnhutMGg/VUbp2oFT3ofWxcFRxCdcFxJOqQi6vpsaq9KOhmw1/k1V+WVY6fsXPNlvdUFY9bILOlYBSka3rk1XaEcm+u6d668G6ldTLugL0S9QbFD8HStVraVZ6jUpqtKJbVuGPsTJQCayDPAppnDLFDlQbJ/WW5hXP3VGjkLEtrRxlVFvubZS1o1KZ7iX90OTeUd8pofo4qezRC68n9skkntX6GMXrk+PkEhvdsvE5ew0U6PpEWVvOx0mz40TV+Q7HQVNVug2gTx4Oy90a4POHexvHycPBVJxX+xk5NNknsS3zTgnzI8D1kdyiNJ9FchVWfbKq4hr6wWA8kxtjuHG1eAUW93fWKQF/Xum1qveptlSvgM+Zomx3vZ6kAIgLnWNWem1k9w6dk0r1+zPbDrC2oFYIaOebxuMb1FeOb4gXvG/AqIrNta4YT6eSQNcnvJ/diqMsHtxbl6KEV49G4i2JKOH6sSIbH9ilbwOCmBgqNsH5qkmgNe5mRFW2PiCdQJM5FNZIDUaUt75vx4aH99fFx270xSuH+mKe4+Se2dtoR6Uz2sTD83rTcS2++nFkCTveAM84UOErs9DH08ZFCfDMkEa/RNZvHtpfl6KElw9HqSjhxon9nLidVk43PCcm7blqc2J2LALnq9AYJw+oMTmAxIyH9pR4VTcvYsHjLqFwNTQuJCLnO4nLgwkwviB+7sUj8eTFTfHAbnNCXirQACmWtV0UXhlf/3u/UvzZP/VHxPp6mA/qm771O8Qzz79Ies3f+JZvFO94y5sauZ7/8M//YWkVRGglSxVUvcaNjSOxubmZ+/u13qHY2d7SHmN7E5SMp+Jgb1ccHMBC4jWxu7eX2vZvHgux3htWPv/a2k2xs7Mj9gsWhhubY7Ex7pDbemvjvph0umK9Z37t7rgvOp2j0mOrjeXXxP7+/L2VYU9zzKPZQKyt3dee50RAFf5tsbXRk7/f2hzIvMDs33Y6N8Xe3q7Y31tu77h1byrWjqeG9/SqfB+U3Mru5liMpzflA9D+3p7YN1S5bK4fivUN6Af3xGjW1Z6/17svrY2rfpa9tbtia2tb7O/P5a7dtXtiZxt+tqhy24FOJ07F+YO9xAbsutjd20834Tduj8XGsHpf6sk+ubvQJ9fXFz+jKtjZ7Ivh5FTG4Zhee9oZiqm4J7rJGDzqav52MBbdzq3K578/PRWd7mHu77f6HbHeOzUeY6N3Q+ztQDvvi+2tsTiezO9lvCcO9vcr3ROmPtkbTUSnc53cjhtjiG64Ib8/ONg3PpxvbhwJ0VMWqYOJ/vPq9e6JzeTeq4Le2m2xvQ3j1Nw5qNu9K3bl2LWz8Pdb6/fgUxTn9vdkP5yJ27lzbWyOxMa0+j3R7bwqx9niPby+cSrtHcnj5Po9WQ1U1if3xz0hOsdibxvugxPR2dxZsPcarY1Et3un8vl3+hD7M8j3yZOO6BnmjIMB9LO7YntLXefGxrHYKMxXs9mrsk9Wyfjb2hzKjdbiuTqDsdwwoLbjQb8jpreU5eDBwZ7Ronitm4wpe+acxLW1u2Jzw/x5aPuk7H9zVr7TvSV2d2HsWmTqt9bvwhJYnD+3L7pQzd+5lzsXjG8w+lQ5P44F0CeLVWS93rHY2tKvH8qwvXEohkcjsV3yWtUnT4Toqn64JeeE/P23Pe6LtbXy+T2L3dGa6HZPSPfnFz8xFo9cPif73NbWQLK1+Lcw72/08m1b+r63JqI3yt8TgLuTvljrVn8febwGYRylr92CeWl6KnY2etIZSfe33e4tsbWVv9/KsN67l3wme5lNSFhHzefjMqx1XxM7u3vSihMw69ySa01df9a//rrq/9vrC/fWjmGsdoNXxc7mutjc7Il1zXi8eTgT6z19G+vQ7ww09+eJ2ErGwSp9am04n+e7vVOxtVZ9vtm+MxG9weI6YesY7u/q63sq1m/BpuSheOD8vpiJ8nmlDc9hZxmh9w3atncA7j2r1md3N2+L49FQdDe2Ghx7Fbp31e7e9sZ6dO38xJWZ+JVXT8SNvuoDIAK83X9V/u71Vy8Yn69N2N+6K273J2LWqz4322A0vS6/Xjy3L/aT2ImFa4msrV1hq3dT5pP3YC+iwh5Mk5h17suv+7vq2ZxhxhtmG+K/PHNfvHo8ls8nxX2CwUxVY1/cK2/LWNp5W66h1X24sb1buo8HJPTHXjsSj53fTiPuYsL6fXgv98RWhGO0L+xs3JKiBB9zoiose01+f7C3E1WbP3F5Kn79el9cT+ZEwJ0B7JsJ8eilPfK1nt+FPfW+GHfo+2EUjGd31Pn24bm0QUuGCLG3pfif2Vr4+7e7Bk4aA7FdsofJmOPJrR0hfuOOuDeYiO7mttjdmM8P/QnsDQpx+Rzcd3E5CZjw0AWwGzsSh6NZ6ed/41Q5rmwkhXgffPpQ/Pdf+Fg0IoA7Y+XisN5bk3tUoRF01bCxvi6t1f/l9/yg+E//5SdkXMNXffn7xDvf9pTX63jp1dfEc8+/RHrNKVq3MGoBbcarVt8iGamU5FjZVu21+vPrM3itK4C7HUk6lannMPf30zeOxfd/7Lr45vc9oT2/oFaFE6oMsR3TasvuYu48RRVdllluU9223u1KK2/g+cr4Z5lPjhbNJVXptCpBTVV6hT6Zd++YibWk9eG1pMpVU5+Un6dNVXq3mlPCdK5qhu8Xzk8MxjZXQ5dfK7anLisd0HHQJ62cEjL3dFlbyvzWJGdK53ghf060D9FlhavK1fJrBRGL7E8FYXE2N70KoM1N46R1VfpgurQdZfZhcmLIwy2KEsraoPq9ba4Iz84389fnX0tzlOk4zZyX7h3jqXx9mXvHvALcDLLLUCE3fpmjzLwt9RXdy1xxcufOnM9ZW1ZxlOnk+6R2nCQ4PpjurbJ2BHzxE/BEpADXixVAAKgMpTzwKMcL/Xhfp7gFs3PL5hyVa9pN53DX42TqONWhzFmZtpzMSJUQyvnNnTsPBSBQKV5//tqqH0v280KnJI1z3fznAO24s+6gHS3v7arA3GTom8vGS8Zq7xsAeO8gbkA2dJXcVxcYJYvsGCvnHpYFHEK8cn8gx/XrhypGDBxhbKpldxJi0vTM7QIwd6dOCauYn70OFc0TGWEYGrCmBMSykR4zruxtyDEA+u7N46F4oCAoORy0Kz8bPnNwnIHq5KPBpFSU8Inrx+Lf/uqr4vLuuvhTX/hYpeIRn8DntlXux+rzGzVe0Z+NocnuocSCRxOLw5funaZutq8eqsjcq4WCsCpAZ9km58TsM8oqzompa8s4/LPZ3D1o9T4H23EH5gWINnrp3kC86cp8/jtK9op8xMm4wsUktgz2pcvw4l0VGfTVb7sqfvDjN8RrR0PxE0/fFr/1jZdETHPieiTjc9BV0X/9nn8mNxW+9wd+RHzy6efEv/m+D4p/+/3/WTx27UEZ5fC7vvxLxUNXrzR+Hf/uu/9e4+dglGw+FmiaUjIdLaCTB//iJqwi0qu3tiLz3ZlAwyL8cDASm73eUqv8F+6divuGjfv52asTsDSCCNtxTgDDxvHC62sSG/Pj0AY8/Hxh4l9GpuPiAB7gzeevDr3Ao0KkyFqJUIZ8fgNJRDhO8frK1k5olT/Pspw5sNJeJBaWiX1UfIP53safVzq/yd7dUnBUlTAFQgcfHHRW/TbEpbLTpsQ3zAlgaDeKyKaKLXr2Kuxibrpy06a8T6p7G/ukaWOZSqRT7m1QtwJMfTK1h6eIx4xCGTvBEfa1sv6J9+IPffyGeP8bLxodFVzEs5jeB4xDneR1OpGNFHJVvLnTSBHTOGnZJwFrhD6pHSctxFvae1tUH2+Gs/lAA/M4SZRgiPagjlFZvPvagfjE9fJMTrxG2GgoI4Cp46T2/qz8+gKZLoWR1PgGXZ+wGyddxTdQV7MoUrSdMxbEHdCOa66EMs015CDZqNWNT4w4EMu+AYD3DuIGrnP8EDBo5xvfJvWl3XU5z8Ka+8bxULxyqDZKH9rftBpPdxNC9aRBAgYEojgEg+X4qgGIYAAKM0Ii5r4dG2DtdO1gSzx3py8JiaIooY0EzIWddUnY3umPpOjChOeS7Gwgnn7q2Tviy94QB/GCYHHNXKhn2i9tYtzA5/6YAP0YxTY3joZSBAbrBLjOKwZXniqihCbnxOx8sIpzIhQwAExxjz6BvEOMItRY8ci5LTk3wLz4pivK5QOe89sm1MuKEuDa4Z7UiYSgMOfu6ViOf/B+YWz5N7/6qvjpZ2+Lt1zdTcXCITFO7qVYhHpBR7WD/V3xh37P7xT/9rv/rvjX3/V3xO//3R8Qe7s74rMvviL+z3/2r8Tv+IN/SvyJ//kvie/9wR8NeZmMBmHMO69AtqnX5zdhrQhgo1MC4UDp9QEhOSldgMkK4ClUjqlFjH5Dfr6Ys30fZWKAbOY8QFdhR6lcLcsst6lug/NmM7PLHgBxkYbknO78TqrSDZeB9uGomNSR6XQCePHnioS2IS7Va8oqqbFP4kLL6B5COK+OWFhW2b67uZZaZxc/B/i+Q7wnTOKKJgF9EvuiqQIYr49WTV2dJMre30Z3gOqnl44yRoEH4TjZ64M2WiO4d5iy2kWDQpnUBSUVweXbEq+JUuHvsiodxR3qGsx/h2PSzz9/N9040l0DBTC3LAg8lszdUpjQwbzcxf5MWZCWjpNWAo/l802vQp+UQh1RzxmH0h+0BHDXUXW/5XPK17z9qvjz73t96d/gva9ECa7cO/LvBcenWmQ6oRKiXODR7APymx/YlW3qYu6G/oOZmTbvoXgdNu2oW81R5y0q0nE+EWky4gPvGzCidEpINvdQyBoTYE3z8MFmWhkKjgmAB5OfUbHrwSkB9lEA0JyxbJj6xEavEx0Bs4qfgw0eSaqwX7ynxD86B7E2EjC3TsodgrPv96efuS2uH6lxJhZg4dUqi2tQqOfDgQXnRHzuj21OvHZOzX8v3D0Vrx2qvn15d8Oqf+z4ckoYrbBTQkRCPZ4T6bh2bu5OggAhEO6T77VIqAfODzvJ88Udg1sCuiQ8AAKoXle87cF9uU8Dy6mPvnIoYsAY13aRPLdEM6q95U2vF3/xz/zfxY99zz8Tf+Nbv0l87jvfKjfSfvEjHxN/5W//4/TvfvYXPyLGycMKo/0wkkQVqtK1dr2ycpdSkVVmE2tXuQoTZlnFJ1al49/oFjHk+AbN+1BtYbjObrkt+ZxMr0tsJOIKi/EO22dZfAMu0sqsnjtOKldFaQUwjumLfZIe31CiUyEjK+ApIxFUBfCslEwnx2AQSaavf8/D4rHkgX6RIFK25HXjG+raklfpt7gJaqoAppJE+iiMao4yyoo6//spgUhfLpSpfJj59a11K7mg5Nw7DJEitLgeHRleIQYjJ4LLvxZAGicd2NQjNhJxB3zcZe2A7jwAVCUvXAPR9UIb37CkT5ra0eqzNMWzWFal4zhZLpSZO8rAA7LJKYEsjCy6RRHIV111P2VTxSiUqSneWuZ6gb8Hcabu3rYfJ7NOCbS+UNspoSx2oMFJ55t+8+Pi8Ys78v0bI0UI59c7JVRvS524g2IPWBq91ODc/b4nL4pv+s2vk2MAnJ4jHOIG7xswyoBW46vulADAqqyX752KVxNRwkOWogQfBMw8umEtOkLLBzYiImDmfXv1PgfbitAsKYGA9QREIAD2t3pnyqoa1nhofw8CKOgyEE8b0xqKicTsnOjPKSEWa/Ay8VCd6AZf8Q2w74D7OKvplBCfUI/nRPq8CKIE3HNCkR4Q/G2Lwri4oxxVbhvEeiB2yo4zgMfOb8uvuA4IjXFkMSTRrYo2NtbF7/rtXyr/f/GV16RLwvf/8I+J127ckp34z/7lvyXdFN7/xZ8vvvz9XyS+6HPfJXoGK2JG/NBWU5dsoOIGca7CP7N5Ss1KVxX+7ipX5yTRcrINbVPu9ceLWenJ1+rEBBCNmsrTjvkaZAWCoQIYX19dFGGqSrdHluSvRgDr/0b1LxqxQCHMgMzKKoH17h1EAljXJ62t8uf3Slk7whkhnx4Wu0Zbcur7IMYGZCdG2Y65rHS6lbbrqlVoykLKieZvlFBmWQUwBToye1lVOlwHtGG3o3qTirbpWI1vZuLSTryF1WSlVvky13yeedVYpEgJ0YUbg+uG+SYVj1U+f0k71hB3LHvoh/sb7m3A8dAQGUQcp3TE4bI+aYpdAsD8Re6T2nHSDlXHSXSUMd3fVALYGINBIICzBDKdSNdXpcNFNMkF4DXubfacjZPFPkkXNcznbrhP7eac+kIVW3Q1ArTkCkjnRyFbbs4g9cmiuEMJCt3MN80BxijYaMD7ifo8wQgD3jdghCZgcKM8VgImWxV6KyEXIb7BBljRZlpLusAqV4Rm3zfYi4cG297TgCTE9aNhztoZCEtcwyCJeVZECa8dDuR6Gdxpvu5dD4l/9DOflWPNh1+8Jz7v0fMiBrAoIeMe5EHshHNirA4rWfEQXuvVkniSMuxuJJFGo0nuucklUKDWyUQZrKJTAu5lhQReQixkbhsAgh8YC2DsgTUouJJgnBHsA7UNMC+CoAnX0ybnoEczogRcOx81uHa2EY7FMkZH3Qseeeiq+J/+xB8S/+P/7Q+Kn/nQr4jv+YEfET/+s78oDo+OxX/8zz8u/9/f2xE//R//RehLFd/0rd8hbt6+I7+/fvO2/Prvf+BH5HUDLl+8IP7BX/8LQa8xRigynW6VnxIIhU1Yu6x0UZvsym5qwk1eSmxAVfpslpJt909hQNsyOCV07OMblhCGkiQyRA4AKAsro20x8X1kgedeJkpAq/zyXGrKeYkVwGvzqAnd6ymOE/h6Y4V/9cNostLL2xHQH08U2aZZ81GJU311P1FokyU2JsRcahMBTCRfs4CF073T8sWEdO9INiKwyt90fVVhilcpi2fJCo6KBAs147yswr9OVfpSq3wYJ+FzN5JtDu7tGs48kkinjNOlQhl6Q2bnwaVCmWScPFzSf+s5JZT3yZwzT+HWKBPRmc+/+HPqcebXl/TJsnES5+4JihLqiyKMIriK/aEogqMSwEZHGcs+WRU450C2rruYm7zLD919Y96ncQNzmeND8fVljlFNQycuBci3QmhHdAsBcr6bjDG0PllwSrCZuzU/91V0hx+5eg9xPKwzzt6+AYD3Ds5KfENSORcpWYDWua8dDdMNfsiKt8FeQqg2We21ytnZ2b2u4XgW0cb1an4WVECR0fmtnsyThqrQ11/ayVWFAjHRBGnZFC5VECUgAQPjzPntdfFb33hZ/NAnboj/8qlb4q1X91LSNop+vMKOH16dEiKvJkfx0I1jJR4CPFjTKQHeMjgzNSE6wj0cECS0afxwhY2ohHpx9+0YAXsp4M4FYjWYF0GUgM6tbYozqiLWg70TcCUDPHJOuSP4Wju3uR+3ohfApuKXfMF75P937t4X3//BHxP/4Yd+VDz93Ivi8OhExIBPfOYZ8fKrN3I/u37jlvwf8PCDVwJdWdxQlas6YmOZVX7HTADXzHOulfGNkQOVcqmTylXD4tC2wq8qYZgl07V22qQKYDOxIQjHyaIKGaCq0iey8lpHpOM10KvCq/cH2DzoZUq+F4QyVKt8TVY7HqeeU4L5xaqiXlWnGMk2i3trsR0JFtCyHWs6JZiIbMv596kHdsWHnr9X+jdKKDORm34Dg22sXQUvrSodx6KOhmCBY/VciLcs98uq9EloRxUpovqkjrikckY6squssl25TWScEroFe3iyM4/j+QbHnSWfAwplAHf6BqcEq5ib6vd3br4ptONcvEXpk27J9NS9o+LcfbDV0+fOW4nQNCK4yuNkXpwxohLApqp0S8ERdX7f2wCnhJmbcbIwJlEp5axYRsXL0EQJpvWk/J2HZz6d6Co9P+E48J7h76F/J3uYXufuUqGMh4aEc5S1JSN+tGHfAMB7B80TMLj28ZKfHUnFURHntnqSKEF76av7G9bExm5CMDZpVY2f2ao7JbBVdTtx7fyWuPvqkSTrU1HCaTurQtGm+m5/lIuezQJzwrH6/PMfOyc+9PxdWUX6/J1T8ZareyI02PHDt1Av7jlxd6MnLm6vi9v9kbifCIYetIw0gnsC2hYECeAg1IQoYdWFenOnhFk8ZG6kfTtWwPwAogT4/50PH+SEem1DmVjvtaOBFGXBvXppdy7+xbk/HlHCVH5lpwRLXDh/IP7o1/1u+f+vfuyTMt4hBnzwX39X6EtoJbQV/iXVbXDj9Bas8utVW5qyk+0qVytUWyakNU6sOtEfuZLZRKQvudasZbU+vqFTm9gQNcn0MqAV0FZvzbjIrmPhXGUzPFsBrI0USciNOhXI6TVY9El8SFz2EILE5YXtdWPlKrVqlSI4qpLvTSKIyqr7hR3e9+Ql2T5LRQmjqdjbLSHbiOfVt2WJe0c3LziC7xaz1mnEpZHsqkGml8Y3JNeP9pcu7gmqUAbaCFwdsm2JDyNWzjzGqmm7PonXVVZpPo+5mZZm1FLHSZ14qtx1Ihvf0NFGilAetc1W+XYPrLhxWLYJnM7diVDGGN9AOK8ksmuIVBadEujxDWb3Dh/xDWuyHdV9mD/jjHgVMl4jJxoiCkQyYhlqO5ZHLzXrOlFJ9EQ8FjrVIKbUuTvTqd3FYDQrlMlC5+YC+K4P3xB/6B0Xxb6fy2Cc4X0DAO8dnC2nBKxwjw0wt0LW+6dvKkEOVKzZAjeQ4XkRiKdUHNuAKGEr+QxXtio0sFU1rIfY9l5Y7bt8DEQJSa40oK1VoXC/w54CkCz3TkepSEEnSkBHFlg/XdnbkKKEWKyq50Tiao4pOaGeoWDmLFuDm9wSQJQAACEBVjLbAAT2/dFQEo4PNKDBWXWhXoxOCdmCRMZyQJTBz31WiF984Z5cl2NhT9vmRADOg7dOlPtYFjjvwzogK/5FsRK+dwqn0QTAxTKmMbp9vSCDd77tKfk/o73oairLyq3y5xXAWqcEKtnWWAWw+W9wEIJqaoArC2hKBbCOuCx+DoowIlR7ll2foOPxC9vi5rHZLm5OAKvIAWNWOvG82tiBZWRbrk8ukumUjRVzn7TbkAdl3oP7G+L8dq+C68RUbO6byTYKZDsUj0EgceFWWiTbaO1ovLcs519YUHzR4xdK/wbWqBjfYK4ApldTU50SstXSRYJFibeIlauan9uSbZWcEpJfQVtCVbo2UoQsODJFDpRfKz541I1mKbMlr0O2aSv2Ne4dS2NuaoqnSsVbXSXwMEWK0J0STNFLdm0JVnK/+YkL4tHzc6s109wN63izo4wb8RasjapAN984qUqv2SeXAdtuJ2N7qdMhUq5BihKyoiHi+JRtS3hYo5ItZetJH2Q6XK5RvEW8AHSqsZkzsuMkfIV1BU1QaIhm8RimYHJKAHFXHI/vDBvwvsEqWlV7IGCSBWosNqg6AGHoQpQA1V/wvAiiNXBLOL/tfmN+kKxXN1e9KjQwAZNdAzQhPjmrwBxpcEpAwS1WhUJkWZsA6z6Ierl+NJRVoUVRAhAsuFeHooQoraojI2DOulAPx66Y50QgDX/tlcPUPaiOExuId24cQ39vRoQDe92r7JQwjzSKR5TATgk0vPmBPfGuh/fFR14+FL/+6lH683aKEtZTsSH0SRTNZOOMMCIGAftduJ8Pa2fY2w6JUWTimjiugrGy0G7Il5Jtc4JIVyVoUxWvrfAn2CdrK4CrWOWP1eamubKNspkuLOIb5k4Jxc1seK0iCSo6JZQQG/h7Kj730fNL/wYrgJW9u7lKlkYS0aIwYFH7gacuL6lc7daOb6iDP/1FrxPvvnauUpXpVinZ1qlf3U+qABbO4xuarlrFazRVUs+vj0ocasZJUebekY0Uyd/f8DmTHWVMQhlBx3ayeCsbX6CvYTyLqU9KhwHivU1x5imKjor3NrQjLQajPObGFsteD8M8Vka4cu/QkdlLY27SdlQ/y7WlIzIdYHt3/7Y3XU4fNEznRBgjRYhXoI/BoDgl1BRvlQojmxsnseoDP3PjnCNqiBKIYoDs/W3llKBxYpHXYemEQgVcv06gZOMeotoyfwybufuXXrgnH9avErJay9aT/kQJBtcJT+dnMBj1gJv3fgiYZJM6ks09HbKE4YP7+c1SCmB8RreEpgjH1ClhVQmYSJwSkMhddTKXCsimh+cuIB7uJpF5c1FCewkYcD4wuSSAFX7Wtn5uVR2XUwIl3u6sAVxlvQn1cE6MeNzIkoZwz9YB9v2jhmKNMHpzPzCRGUOkka0jpnsyN96+HSNgX+G/eceD4k994WPijZeVOyngwpKiyRgBAgMUeaHbCgLiKbJO1dl9hfk4EX5eHGM/jmSMbl8vYJwpaKupS7bCQVX0aOYmrx3fYNhktK22nGePdyqT6ebKtpoxGEsoBcjQRvJCVVLniQ28zrrEhu1QB5Uc3/6BN1aKHMDFiu581MWLliQqIZFh8+DJy7u519e203ZQgUsFftayT07rEyu6doRuVd0CutCOkymdtNT8vPF27MzbsWhRn14D8Zg68VKZwEPrlJAVeEwc2WlbjpN4v+AmjQmwvwvPd0arfGJDKkcXjVCm5DXgMIIbsNp2XKMKZeoLfrLAirWl42SyMW8SylCFcHqnBHNbZh/+dZEiNqIjF+IpWygnF/O10URwQtOOlk4J1Hu7xOWoyVbE+Kp5X1j8m5nFvZCr7reYs+aiBNp8g6/Xxw74cUooI9Kp59e7TtDbETasoTKCYmtePt/4eXiWAg+jEC6OB3gGg7HcKQEEAzYiM5v8bHiujlmUIB0S15S1eh1AFfS907HRobAuUES7mZBoq4bNpB+FrgpFBxC4dUJbDbcJ8AwO+fQv3RuIz97pS6cBFPC0WZSgy8+G9wi4di5P6qbCpYZIWms3mxXux0iiwb6pbm+qiTkxFsJLBxBLw/XB+uDqXj1Rwt6Guq9BiNQEbhyp++yB3Xpzd1ux0cMCBrVfFNKBA6flVY6CqQPgd/7b914Tz9/pi9eOBuINGQ6lbfMizH8wL6KoCe5/nCeLTgmA3Y2edFc4jsBBaMyiBAZjCZleQiqc21oXv/9dDxmJS9hEXCNbvC/+nCpuQKBN/7LXQnUtxg5kxQCZKyA7PixW95dvRH/B686nFo66qnTKQ6g5l3rmhQDGagoTAUwj20AoQ2vLcpKISqaHrfAHkYWpmppEtumiWQiE4UJV+pRIABvFHc1WrWadEgCmBz/bCt4qfRKyY9997aB0nKS1pVuLd2ibP/Tuh5Yq0+X4M5lJQstUlU6PHKC9hz/2eY+k38vLKYi3XBDAdSqpn7i4LT5zS1nylrUjLJRhw9zslOBAvFXSlhCPAP+X5s5T728RtipdN3fbRbPUmW+K4o6p2FrvObi3m527n3pgV7xy/7TUKl9dX/Vjwr2YHSfsnBKEvVNCydzto8a/GHlkG9eDa9SswGNKnrvV9/Bw/rYH90nnLnPm8QXpHqa9v/25NTAYDHvA8zgWHsDzNlbuNloVGrFTAlRo/fHPf0TOa3WJol3ZlgO5udoEMKd3WezgWUUs+dnolMDkCx2vu7AtCYvv/9hr4ubJUNxJqinbFt+wTJSAVtXXCgQMkrQc3xCfUA+FXxif1+ycGO+KGebBdzy0Lz55/Vg8manctsFu6h7UjFDvxpGaE+sKCtuKrLAdHIRCrrXYdcUNHruwLf9vKyDKSIkS1L2ZdQ66vLueG29zYr3DSJwSJnFF7Kzmap8ReXxDdVIBHAnqVQAb4hssqy0fOlCL8vunyyqA5xX+xgrgmo4Py0hsyPYxkpZksi2M3W6WSAfA+Kpze6SSRItOCYQ+qXFKoAz4pviGpsl07Ic762vayZLcJ7VV6cL+3raJbyi5tqaAQh60aJLEa7fefaEl00vu7/Pb6+K9j5xzW03tmGx7KjP+GM+bfDU6ylCr+zX26pTPQhfNQqkewiwxl+PkFz5+XryUkLtV5puyPU6SwEMzTlGEU8VIEbrAw61QhgIYz0ur0oU9kU7t1/q4IAfuHQ3T6CBI+gPvfjgd6/WxA/T4hmwGM7WyPueUQBwjTUI8vBB/Tgm6z5K+dliMwqge+ZO9DrD7vVQSiUKOZvH07OzSdYLBYPgH3MOw5oG1DzgT1iyErFQVGsvmXpUIhzrAvPimqkKvH6pN3rrVq23FZpqf7U+IpwPbVNvjNz9xURKJn755In7qmTvpz9vplKCI0Cz5gutCJGGKVtXziJfw5EueSIxXONY0YF0PxQngHgSxRo2KElriTPE1b78a/ZwI99mNY3XvPbCicyKs57DvZp/zQ44lsfdtRrPAvY1bx3Ox3gt3+9r5sDhONCXotXNKiGNOjOMqGCsLqGMobvzBVEOpEsxunMIiyEW1Jf6OCtjErvIySRIl8Q3GCmBRNyvdLgPYKbEhf9TcpI2EICgoTdWWVGLDxnXCKZlueh8Nb4bjIg/uHzPZRiF4dE4JlD6Zr1QcuSItG3acyIoSjH3SwilhQeDhO3deN1I2LJRBpT3c30ar/LpV6QTisigqoLejXgQnf2fZkGB79he+7MkKcUGJM4/JKcFKKDMLO+cYLN59bBgXRRXp+YmTt4zfKHRuisOQGift21FFDohgMRjqGsxzTl0inT732zl3mIR4ft078n0hPb+FKGJN5zpBuY7ZTJyOJ3LcAZEcBcZ726NLgUngQYmgYjAYYYGVSjAONYk2OCW4RFoV2kC1F0RCoOX7ylaFRueUwLMeFUD4fv17HhZ/4F0PiXOZHPg2ZsKjU8Kdk3FuXXRXRrhMpEtX0fkQxRdwL4fOgI/Rqjr8nNjs2ALkMUBXKHYWgU5MTTiDQFQStCfcZ3gvrrJbwiCwWI+dEhg6ByGYGz/26pH8/vGL26XjBMc3LKJ9KyPGmYK2mrqGxTtMFNvrLiqA7esEv/W3PbnUKhc2fOFh01UFsJFss3y9TQVwyKr0nY2uJHdcEBtGi/fKlat5Mt3K4j1ABTDYYemuP3d+wvHwWhVR2bHokw2JOxouAcZIESVKAGJn8W+oz+c6sonm3lGvmtpUudq0UAardMziDlpDSqFK8RgE4hLGm3rV/SUEcMPRLCCCg42xwdi8iUwWymjdO/wIZYwxNx7IdNgwNpGWAMpnqfpUPuallnvHhOjMUyre8gOzoJAWIQFtuRg5QLiOjNDko68e0sn0QHN3XhDphszvFQUeJPGW6tOwOQfzIDWL2hirRnS+qAN9rIr6NzslMBjtydC+029WlADjBK5VV4W83WvQmv21xCXhwvZ6GoO3asD3PcTw6kDAameqQJOhAOuVt1zdE09e2hE///xdua5oo1MCPDtCFwChKjjB4tr4pbvKJeHq/uaCIAvdImFNDm41OivrEAIbFiV0BZhbNC/UQ/eg1RjDsb83IdTD6IZLuxvk56kzJ9YbToI6JcB6D59POdZotZGKEpJopmdvnUh3SChceuvV/VKnhBjiG0aRReysxkzBiBbGamrL18sNeQrZVhrfIKwAC7Bli4Zs7ryusk1YZKXr873rWEB3HRAbzeZSYztC5EApSUQhJnQW76TK1bp22vr4BvxtU0Ayp9QCmmTvrpC9P2l9sqa9uykGo+Gq1V4lpwS4BhpxOK3llLAo8KA82JSSbaJ5yOs3VQCTjqOJCxL27UiOuTEIUqS4omGhTFlckLoGGvROCXa58/bRSyJIVbp0SpAOB5rzE6vz8T60JoC1zjxEFxSDIMCXKkEJCo2yxsrH6RVcJ6gCFTXOzKRA76OvHIrf8eYrlV+rrtSwnmzYnWe548RcGFgVsI+YF3gQ1kCJuAM2jrI5oE7Wk8IPdPc3XpKPz5LBYNQHEmGw/mma7ALYjHdtBFqzg6uBa7x2NJBfr+6vpktCviJ0GrTKfO6UsBr9ukky7be8/qL4kicuijYC1kMXClWhgBcN0Q24F7qViGuaEC9RwQIbf3OibO907BArNidOSp5n7XA9iW64sru6c2I+1iicKAH7NYDFequNS0msEQj1YL/jQy/ck/9+57V9o6C2SUeVtrsHrchUwYgVWjKdGN+wQFw6iG9oehMZq6lhgjUSAoJIpBdeRxJ3dOsSRG6iE+ydEtacVvjXim/QkG1rJIGHKQrDz4a8yXGCmoudVv1m7jB6dX+xT7qqpBae4hscCWVM46S1e8fUmVV+05WrcJ2uYjDUOFU4Rh2hzIQWF6SL4fBRlY4V5EoEp++PZIGHqS2rvr6u6KhjihRpvpJ5o9eRVUOuolngbWcJYHLMTQPuHfJ3QgSPb6A8Ky3EN4gZ6SEHr+PWyVCc31onV3YZozA8VdfLODNHItvFKIz5nF61HWHjyKbS1TjfeHKcAMDel24dKK8vjud3BoNRwSkBcNJgVWi2am9VNqnTaq8GNlavJ04JV1c0OxuA8yZMOejCEQJ47lXp14zlVaFQCVoUJVwz5Wc3GPNinwO/2tQHPtc0OSdmnRJiIbyaxm7iHgTdDJwpm3BKWNU4o5hijWD/FLEqfZthfr5A4d1zt/vik9eP5fef9+g5Y5PF5JQwRiesSPrxas/MjOBQlaMaArgy2VazStBkE+uJuITFoROyDa3yLY/hJHIgoLhDOiUUhBXZa6DAbEvup8LfSKZ72AxHAlhLbBCPhW85W+FOF3fUFBwZq1abAxI3uxs9M9k2c+Qo46vC31S56kEoA5tzJltyeW1ExwmtC4rHSJGQQplypwQHURg1HGUmVve38H5/YxWb0SrfYpxeJNPrxNxMHd3bHq3yu3mniNw1UCMHMoehOyWoufvm0VBc3qPndprv71lQxwmbdRgcqyjwIAmOpuCUMLN0SjDf276gExTOnRIYDEYb4CM/OxvdUFW41Xak1V7DBuIb2CkhZ6cbsioUhNerFEvCMOPitiJEb58ogvTOyUi8mMQ3vO7CtveYl7ZXhYYCkmiuifPYrcGbBvSrbXQGcUw4oijhgRUXJWz2Orm44RDAfg3delXWeww9YH/pUiLW+5FP3ZR7BE9c3BYPlAhqo3JKmKDoNA45QBxXwVhZyI2/WsSGA4t3o716c8Bz7m6u6TPniRufuPG+aJVfg9hYc2Cl3TDZhp81bDy5yqXWZwnT2jL7mZLJdGPsgB+yTWacGwkiGtmFGYR2udTFe3tKixwwxWAQ34dt1dTGWkdVWxpYYCfuHT6r0gMJZdAqXy/uoLGWsh1qxWDk23HkKr6h4T6ZiwsqIUgpBK5O9FN7znER3+CBTJdCmRJBI3WkLsYOTC37JBzjTn8snYPqCEN9zTdVnBIoHyU6gti0Y/Y6bhyPxGULm0zok2bxVPMwCjMt1mFwL+bdO+j3NpAp4CoiHAhD1UV4FMoYhIAA3odiMNqBrcQp4bTBqtB5dvbqbFBjfjaQA/j+XQDmzzkBs7pOCTD/wDMkIGR+9twpgbeLVx1pfnbilPChF+7KNfqTl3bSaAeTU8LhIGxVKKzd5gTM6ozT5UI9P04JqyRogj1914Qj9F12SlBAkXtQoR6LmxiaefG1ZN1a5pKQnRNPHa+dz0Jf5lUmIyicEBvTgp22C+vihsl0qCDDxZp2E9uiwk++rEgAW1b30yupTfbuzda2zeMbkoxvR9XUC5vR1CrBAplOJ4Bngci2zpJcatrxiiQRjUivW91vqrakvw8KDraUChI+K1dkm4xn0bl3VDyIFJrkYgdoQpluyb3sxSkBxC06oYyFeKueC4rGvYNYla6NHGiY6EodZTZABOcovkE7TvpzlDHPOc0CNuDe9fBBeTSLsHBKKEQvwT1fBdnr+Pj1I2kN9/DBZv3IAaKYrw7KBIUUaOMbiKIl+Bzun47EuS1LpwQRznXCFGEFbVu3TyqBB61PgsWmlVOCMS7IT4RVmTgVr4/BYMQPL04JaUVod6WqbXFdCRnarnC3P5L7I7AWxM3eVY9wGIx9egSZcuF51lt1ZEUJQAr+8ov35b+/4LFz0VeFQjfGuygWAiZ0pFHTooR0n3uFRCDoDOJyToS8eniWgm57McmwF6suStBVc3qeE1d9HGEoZO/J/c018eYH9oKsneu6vMUANXoyGIHghtgQOWKDsgAyVq6mv20GmIdURgBTgFead0qwt3d3FTnQtLgDjw3xDcq6WHsJJMh8b201NYEArhOFYaymbnZD/svecElag8FGvFOyrU5Wes1IEZO4o0lAhe23f+CNS8g2R04JNe5vXBRVO3/oqnSDLTmZSK/bjvk4EmfxDQ2TbSjeggdm6AfqPlw8IykyqCiCI1YRK0FhoU+6iLlpeJz8I597Lc1V1UcOOBBvUdsxeekLd07Fm67sEh0vDPe2R/K1LHaAYo8o4xsWRHCUPpVU+E9mKSFAQchIEUCZCI5qM7nYJ0EoQxtnocLTNr7B6Pgg/ECKXAsXgf/y5dbAYDDqYSchYE4a3PxbRacEGAOh4uve6VgSjue33QgIXjtMsrN3N0jrwbMINXdOgjolpJnDK9S3GeWiBIht+NVXDmWl54XtdfHGK7vR52dzDrxfoR5glIwdsRBefp0S3PX3G8dqTry0s7HyRPhcqBfBnLhC/ZphxqXd+dr3vY+cW7pubWrtbIOce1A4nU+K1ZF1M6KEtDevQxIVK4DJZDpYvLshFijACdVk704nLdXWe/a9UDbCdRXAZKt842Z8cw2JlwgVKpBLbXYYoBwzT5bVIYlsq6kN+o5G++SXPnlRvOXqntFxwobMX8ylJgiOClbUVtEsAdoxCyOZTpz99fnWddw7iJEiGkcbvIYm8Uc/95r4Pe+4mswTpmujk45FMt16nJQVXV0HgiPRKPC+Qctd031BgYrCWHy9TZ+EMQI+lzbd38b4BotjKTI9cwxSVfq8HWHzgpo5CWcJId7KwhzPQlsHLcQFkef+LJlO70TGOLCGxZnVXJZqzt1W8Q0zS6eEkvWkr7lbM+c0LXhiMBhucZA43tw9VZbjzVaErtaWWhOE42uHA/n1gf3VrggFbERAwLBTAgMB5AmskaG68iefvi1/9vmPnSsVvO5H4pSA5Atg1clEX04Jq1hRjk4JRw5FkNcTW/grxGf7szwnBo00WsF+zVgu1oPuAKKEKohNrNeLpC+zUwIjKIobn3SyTUdcdt1kpYvmgHlIZtKSvvlarNKzJTasq9K14o5mN5HBNufPfunjRjFBen2CbuGcBY24nLcl5thRCeCgudSFavB8n+x4zKXOtwNszFAqkcyV1M0KZaqQbYLYlsV2dOGUQCbTNT9v+v5+/aUd+dXslEBjTnFMg/u7l1w4dHWaCE5YizuMIriGq2/XCqIEmHO7hesmu04UHGHw28pzTqYtcQ3gwglF/k40j2IkCgJ+ZFOVnl0HUez2s/Pe9aMBeePCGGHlsSK8NJ6FcAlr3W5unKTGFmAcGKzPbMh0YxSGp9gBXcyP7fmLrhOU+Absz1LcYes4YVpP+pq7NQITn6IIBoPhsrp3LOcD6txMcUqwEbK1GbuScBw4JRwxl/fqXvUIqrOKzZjys1dMcMPQr+vOb62L2/2RuD8Yy/2Yd187qJSf7bJyvG529qo7XaFTAjhdNIlVdBDC/u7Slv0GixIW5sSwTgk4lgS7BEZEuHZuS/ymx86Ly3sbaXxziLVzvb7cBVOu4OBbihEURYvYusSlqlx1YZXfLLGBp1RV6aZro11BkXisJe6gtmNA22LMfjZa5RM3koub8XUIYFmVjQN+RcBfhrLKX0a21c5KJ/dJ9dpnbp2IF+6eikfPbzup7veZla63eBe1SEu7mJu5UGZi494R6P5eZktOrYQGFKvSq25UF8cYejuW3dvCmyjBRVsuVlKr723EWyiCo8UOhB0nS/tk7XFy3leXv1a1Izykw0YIWDy6qUr3OE46mnOgLYrOPBQSCoUytch0kxOKL6cER+JQXfRS1T4Jm5DwSuiPVo4TJTE3vqwKVFvmMfV3egaD4QDntnqpgw5kMzdbTb5aW2pY7eWSgAFhJeAqOyXMnRIiqApdJQt2xnKRF+CdDx+kBLfPynEbcHWzX6cEeF5YxbED91hcinDQKYHqgngWEYdTQlzV5YywgD2m3/GWK+LzHq3mkhCLU8IkcaiNqS+v1hMUIzr0apNteWIAMqxoVelhKlfluZdkzlN3P4skrKpsE36cEkxW2g3HYGRRljtfhyCqQwBDO8KrKPvy5vgGT9WWxup+u6z0uhbQgKdvnYh3PrwvLu9uOOiTHnOpC5X1WZDJNp17B6UtkwuZpEIZmnjLlVDFBmXjJOX8cG8tuHfUcuaZ0kVwAe5tHH9gA8nUllZzd4FIB1Rtjux4TZ1vyq3y/YyTa4Z2lNX5Flb5i44ylDXQTG4wQd4iNYfZVJXuk4AtE3jUWU9S1x9pfMN4llZkUPuk2b3Dj1DGlTvQ4jhJW5fDRiRszNmIO0yODx41Cdq2VP0pjod3BoNR7T7GzFbIQm8CwxWsCG2iCho2+28dq8/o6j47JWwm/SmK/OwV69uM5aKEL3jsXOUx4mQ40RZo+AKuZVdtjNYBhSQnw6mTvQBTe+ORYyG8fGBONroRfMAzB8QyAq4Q9j/P+pwYhXvQCvVrhlvsRRBrNM7Mx7Gs71iUwAgKbQUwiWyrHztgWpM1eYs+eWlH2p6VZc6Tqy11GcCihi05MQZDX5XuDybXCdWWHY/uHfO2RNKSXgHsRqgSUtyhJ4loVenwSriWl++dSoskCkrvbY9OCS7cO8xOCfR8bDgOCqLq2pIDvLh3OIy5qZeVXne+cedCQgG+3a31rpkAntUbJ/Ft0cj0+ThJJdPNVvl+7u+ycdIm5qYY30ATdyTV/baRAwHWQFUEHlQSuI4ITl1H1inBssJf+HdCyZ7fuJ4knh/EBNlqFOp7gNfDxpyVuMMU3+Bx7ta1pS9nIAaD4Q4XEiINbMebAGSsA9ZXzOJ+13EVNJAv0JI7692U3FllpFWhAQmYVXUBYejxQCIWev3FbfFAhYiVnQ0lhIdedNJgZX7bsrNDYn+zl8bUHjYUq4HjxqoJQZBsPHZENh4OJlKUBp/XJRYlROUexGMJIyaXMds5Maa+XC38gsFoCJIgWqgAplhAd2pW+BusrBtmif7I516TXz914zjNg86fn356XeVqdYJI5PLB6VnpZQSwn8Gu+B7y11DXvYNSTZ1xSiDGYKTV1Iaq0U7gfG+brPRcxjexKl2+ZibEK/cH4uEDoijBVN3vqWq1lEyf1auktq2mthfKmCpw/TihqHtb/zvqZ6knLuntaDNOlgtlmmtIJBfh+sucEshCmZGd44QpvoGCssggHyOlGif15ycLCnV90qK630aUYIxv8BSDUXRyyV0DUTxVHCenxPFBCRtn1gIP89zty+XIXTwMvP9shSbVAQQ2ImFjzja+Qb8u9zd36z5LX+ISBoPhDhcTp4TbDTkljJJxcpXIl3x+thti6/oh2lRvsiMNVIVGQMCkVaEr1rcZerz72r587n/r1b3Ka2qwtAdyFRxVgBAPAdiLA1CKrc4q4Hnz/Na6FOmBexBG4DZhcQ/PZNR9w7MQ3wBzogtnNYwzAoeSWIjDkECRO+x3hAI4cgP482DE4jJWZ06MaYzm2ZkRFGozPv+zmWW1JSwAJAlMItNL4htE83BFEOnakmzvXsuWPLxVPrx/Z/ENjghgeBCjPswb4xs8kUSqHXXnt7MltyeA1Vd4fX88TSfx+u3or1OW2ZKTyLai4GimRi2b2AF7oUw4JxRwcpnozm9h31GMwqBUESvydP5valvGEHOzVkIAk45Tsyo975RgF99gdioQjUO5C5mq+2nHWnCdkH2StgaqU90PYjEX1fW2gH1CrcsRcajWjZPUcRbu6eFkZhc7UBoHJhqHcmJxQ+Zv9fKiBDlnEY4BogbIS7RpR+M46dXlaPH+9iUuYTAYDTglNCVKSAZdGyFbm7GHTgmOqkJfSwiYq/tsU53tT7AeCQUkF1cpF55hBpD6n//Y+bQiPMQ4YQMW14SZE1dVqAdDdn9UX0x244ijG2JzSpgLnFarbzPOVnzDKELBKTslMILCaJVvUR0PX+A7euxAOAIYK/N056cyp9pcasJ1FCuAt9c7QWyDmyCAKZegd0qwI4B/6BM3xBc8dt5JhT/+LmjkgAvisuLtCfcfXMvpaCLPu+6wktrXFGxsSyKZvhCDkXylxA7gOEOt7sfzhBQdld7bxAtYyEonfBT6+AYH841oFm9/cD/NAi1G9dh+lj3tfENz18G520ooY4wU8VWV7ma+AcDtuBhzQ3RKsK3uL1kD+YI5xqqeyxE5cmCtI26cjqzmmxgq/LuGuWVqHd+QF3jQ2rIr2wLzaykwx4H5EwXoxhd2SmAw2gdc+0BVaJNOVDFt7nmt9nJkQftaximBMXdKiCE/e9WiSRiOx4lDGCcCVoVyDvzCnPj0reYijXBOXDVRAuwHgaD7dDyV1uwQX1IH1xNRAs+J8cyJKZnLUyKjZnxDyDlxlIzRNm6WTYFvKUZQaAlgywp/WHTCyyj3V3irfBOxYVdtWSQuSfENmYaYkLPSS8QdIjQBXM8CmmpdLKs+pzP5mtcOB+Jd1w7cZKV7s8p3V4GsIkUyxxAz0qQD1wIuCbAQpYqETASNT2JBEsCGqnQKSaUTdwhLRxno23A8CozxDZ7iWcrubRfjZNfSmQceOinjpLJXN7wP0RzgPT96fju9Bq0Qzia+IXdv2zglqAO8fH8gttZpy9FyQaEI3Cc7tYQy8C1VBAcP6dbxDSKseEtvlW/jgqJZAxGr+1XkAH2+KV1Pzjw6JWh+Tl0DATbXOnmnBAuBB2CbeF8va8eQLkc+4yMYDIZbUQIQMDbzyjLgBjlaC6+aVTXME7jBWQfwvAxgpwQFXM9l52HfYDKX4aoqFJxDQ4EdP/ROCU0J9UaT1XQPcmHNfjgYy2jnn3zmtnj61on82ZU9dg/KuwdNG1nLVQE7JTBczYlQ+BFqfTeMcIxmpwRGUBTt3ckkUXdODEBFtVVWus5u12tWusOq9IJ1sU11//3Tsfjk9WPx5rdXy4xbTmz42cQtE3i4iG+gEpfQjnAsVMQ5IYBFuHaUwgyqe4eObCPcWMopAWzJbSqAI+6TRJJo0SlBfU9ylEk6Fdj1URchJvcOyhjTWCW1haNMXuBRfayHZsPr+PTNE5kb+PpLO45syX32yfrCiMWqdNqcqfqkas//+plb4o+89xrh7ElbOuoTTmMwiJEB2rmbEt+Q3MpQmWE3TpaJt8L1ydQNhireSvoUHpNEpPc6surTJgZDXqsxvsHP5olR9GRxT2z21nIPy1PiMbCy0sYpQcVg6OFr7tbdFz6dvxgMhhtc2FYEDIxnJ6NpSqa7Ao6TWMW3KoCKUBRUwrx5YbtLbrePvnIoXrx3Kl68e5o6LnBVaKEqNKBVNZKLq1bxzGigKpTjG6LBxe2G4xtW1CkBsLvREzePR1YOQr/84j3xH3/jem7fEFrw2jl2DwLgszm0D6w7QvSv0XR1+zbDDaBoA/oPrK9gH3mz5190hGJqm33DpsCiBEZQFDfjyVXpmar2H/n0LfH2h/ad2O3K3wk/799o92tTlb7glECrzoe2f/b2iXjoYFO86cquI2JDeIGpchVAIVd04g6KIADJkJvHQ3F5d4NM7KgqQX1b+oCspDYJZTr+c+dPx1C5amelrW0zT4Ijp1XphZiXuVMCnfT7L5+6Kb7sDZfcuHd4yviW16/Zl7MRj2kt3gW9HZ+/0xdve3CftBFtru73Z0tuEsq4qUonvn42k5Ua8JlQH7rNjjKe+mTBKcJ5zA3h3gZAfqXNOKmIbBHcKl9XlY6/o4yTABQlUMSEABBrQXWLLblknHOER6cE0/hCjm/o5MgQqtgGHnThz23asnQ92Q3tlMBgMNoEEEgdbPbE/cFYrjecixKScRJI+lUCzDfQlvdOx9JhCMUfVUmrf/6LL4qX7it3BMTbHtxbOXGHCbieC+uUkESTEGLqGAxtfnZQq2q1mON+XHAPatgpYRVjX2yt2WHvHQUJV3Y3xIMHm+Lq3oZ4/OK2uLjDTgmAbEEVzIsh+hc7JTBcrJ1hnLjTH0ux3sXqtW3OgPs77JTAYJRVpRM29WETejBTN9YLd/viD7zrYYtqy0gtoMlV6Yu51BR7dwC8HMh0aqVCGbHhC5IkmrqpAM5lpSdfKQIPeP2tk1G68HdW4e+hU7oUysCeSj53nkZ0QVsC2WZjiyqr+7VVqz4jRUrasqbjBNkpYaoW8Xf6I/HUA9UFR2XuHZRrqIOsQ4ELAjjXlpYxGJD1BxuodPLVJJwSXmCccwjV+bp2pBLA2Jav3B+IB/c36eKtwHNOk/ENVGceWAdBlIjL+Ab4ob8+uegwgP8mRS91O/LvYUMMeA3qfAMbHFDdsr9lp9dWjjKLP/dl++8yHgbm3LrxDeCSQBkTlrajFMp4ckrQiEN9ifAYDIZ7u2oQJdw+GYpHzm85PfaqOiUA9hJRAoWAgXH1+z92XQoSIN7n8x49Lx45tymundtKCUwGOyUwzgbq2tm7JGBWcYwui28Ah72T4UTsOBbqxUh4+cJu0t9BqFcVsC751x95RT73vP3BPfH7PudBb06FbQI8T8KzJVjPh3IQGiUPp5ToVgajCFjrSlGChaOK2zE6nn68erMFIyrAeiW7GU8n0xUxAGpueDCmksCq2jKcBbTZlpxe2QbERJ64pMQ3zF8DtlOXdtdbR2ysGWMHLLLSp7qKTRpxCbEDOxbWxaGrqV1a5evcO6jEZX80sY9vMBBEvgBzven+ptBEC30yqWKm9cmZuHE0lGMkVV0sCRptzI0foUypuIN4fp0TStVniywRff1oIB4g5vyVx9z4gdl1ol58A2W+UdehXvPqkRIlUAFtaRYFiLBzd01xJrUt4aECLOBs4xtcCX4acUogHgs2HZEkopLI+HAGRIkrcUV6HaJ5mJy/bASNG0k7IjFPPQZsRtq2o1GY6dGpQI5PAc/PYDAaqAztu68MXWlRAlZBEwiYn3nurvi1Vw7lGPt173xI/NY3XhJPPbDHgoQCcD0X1imBCRhGPext0McI1xhESMCEBKzP9xPyHApVXAPEDis7J2J/r0g2QvT0//eXX5YFWNcONsXXvP0qCxJKgEKXwdjjZm4G42QsYVECw02sURix3iC5f2KKb4jnShgrCUlsFKuRSCSRIqvAggoejqk3VykB7InY0FpAW2x+LuZSV68yhE1gJIluJbED7ogNX7nU5msgVVsWM+eJFZt4HaBCs8mmVlWC4aqpzRXAFkKZQp+kZnz31jpSxW1XAWyqpPaYld51Q5wu9EmLGAx4+WuSSN90R3Z5UniU9UmqWFlrlU9sR9ioA4WrzThpFMr4Em+VuU6Q+mQ+moQqEEFSHx7EbeyUZVuafudLUGgSd9Ttk8TPYr3XtXdKKO2TvubuRQGZ7dACFf6oAFeCRBqRDoAKfxvo2hLHSC9zdyJ6Wqjwt5i7YTNxlqkKoQplQPhWrx1NY5QnpwTZJ/PXQF2/MBiMOIDRAk3YVa+yKAHXblWdEj5141j8yKduyu+/4s1XxBOXAvjWtgToEDgMRL6sejY8w7VTQjhRAt5Dq1i5bwLPiXE4g3zvr78miwEhYuoPvufhlYy8oADXWeGdEoKcnnFGsGsh6D3rbjbxXAljJVEk29KNZJItORDpI3HJxirfFN8g/ACvX3d+qwrgBbKNSBJNhbh/OhbniPbFZcSGTwvoosBFXcOslpU22So/iT+QogSLwV5VWy7CF28p29FBJbXJ4p1WudoVh5YZ30YXFE+OE6VtaWFLnq+kJjpOJET03f6YlPu61HXCm1DGcG9b3BM69w6qM89wPJXHoT48Gu3VvYq3SoQyhOOsdbuFmBuaQES1JWwW2Yu3jHOOCCfuUOsX4txd6N9UgQdU/8CDjU0VUAzuHTohHv7LtsLfRrSE97ONw5GpT87fh9UhaedPzjFz8FnCOAFEBNyf8hjEOQf64s6GpVNCyb3tCzg+hRqnGQyGe6eEOyxKaISAqWJVDSTNv/u1V+U4+t5HDsTnP3rO7cWcMWCRDewl+BKAm50SeLuYYYf9hHwBtwJcTwYjYJhJXHQPanJOjIjw8l0BDYUCywD7m5+4fiyfKv7gex5K7xWGGbivHmosGSeVpOyUwHDilECIPnMJvH9YlMBgFPLrcUMaHrxoJJEiWGBiP7DIAVbVlvUJGveV1PQK4MVcalpVV7bCn0oCm4kNjwRw0pd0oGwkL9q7q75AIi6nirh0XbnqxSq/pJKamg+trQAmfBbQfpJscxnf4DEXujR3voajDP3e7ljf26XxDV5jbhzFN+hibojOPLC54pQA9liBa3TnkZFBnRrxDRbuHTBO1hJv6fqkn7ZU8RHCyfmhLUeTfJ+ktAiQ6RDfYHVvm4QyXvuk3mHA5vTQBimRTiTjURxTL3ag6FKQ/lY0DZyfdVEYNmsH2FCcCzxo9zc4lx1s0QVwZcJM+ER99Und+sGnyJbBYMRPwKh19epW4VKsqj9981jOJxB79jvf8gBbVC8BEnrQu7CP+QSs73EtwU4JDFvAszL2n/D52as3RptwAYV6HGnkFLuEOfHZWyfy64MHm+Lhgy23F3LWY42COSVwfAMjTPRZE3PipkVRWFPg2ZkRFEBaApDcwMeuylb5kkC1r0o32ZKr3zV/o66VkW3UYxVJIiL5ChvBYEsEz77kzPnkPAvVjl6dEspcJ+o4TtgSwDM7Mt3g7qAj4GK3gO4txA7QxDZAEoGK0EZtrYh0fVv6dEowCTwogLefr0qnvQck05VQpuOENPR5f5vvbTpxqRMdUeYbwOnIseDIa580tCXZKWE+b9vHN7ifu/25d5QIjiys8rNWhFSnJGi/E8s+aby3fTolaMZJqsgFsbFApAeOb8DfWR2Rfn5hmrstjgfrQBTLTIlj7bse3hdf+ZYrFmctE8p4HicX3Dv8iWwZDIY7oEMYEAUuK+yyx1rF+AaKVfXTt/ry65sf2OMqwwoAIhfnmxBW1Ui+ALgqlGELWIOn4qVA+dk4TsdEwITGpR0VP8mRRs25By1zuHnmtpoTn7i47fgqzi7wHsbnfN9gpwTGmXBKmMQnpo7nShgrCSAmYPMvFSWgVT6pcnUmBuOZ3Ya8Mb5hFpbYsIlv0FhAkyzeO4psg+NQH0Dxz/Ub8j5tyRd/TokDyZJtuJikVoPnyTaLampTfMOsfRbQutgBenyDpS256X14cpwwWUCra6BVpRdjbmzubXRKcOk6IStXRTgXFBvicjFSBN5DdWcewOnY0r3DJC7yHHNjnnNqtCOxL6AjC2R92rlOhLV4N47TFu4hQGZkH7CpAjBsP5sKf5N7B/7OB1TUjs6Zh34s2ZZIpBPbEcWYtuSSzj0D1xG+Ym4AxWugClSzpAgSE9R5E/6W6qyUvlbzHny7HOmi3dgpgcFoJ3Y21sR2Mq67rAzFeRum4FUkbncTsnGZVTXMxc8kVaFPXmICpuocGtKqGskXwCr2bUYD4qVgTgnxETCxCPVunwwbrMJdvfbeTchG2I8/LRm34dkQnRJef3HH2/W1HaHjG6B4E8BzIsNX9FkT4PgGBmNJ5SoSNhSSCAlga+vikPENpsx5i6p0bYU/8VpORxMrJTF+XjpyIwarfMrzNCw04CjYlHRb8nnuvPtq6nZZQC8Sl/T4BtjssiXS5TkNJJEPmMl8qlAmLziSZJugWuWrB3OrPplUygZ1SjBWpdMuQMUO2BF2+Gf2Tgkmy3+PBHDiLrRwDVTxllYoI+zEW7ZCmaCRIo6dEnKiBFpbrteo8FeOE+HubXUNi0IZNU7TLwAEGqlTAlF5jZsMtpsNSlxRrK5X8Fnhv+iUQI9eAqxnYkVsIsVsYRZmVheQObm/NVEcvs7PYDCasat2WRmKFsIwh/sSO7eRbLx+NJTPciB0e+Q821RTI6VCWFVnyZdV7NuMBqpCQzklcHyDMdIICn9GjscXfAZbRVECPI9vJe+7zJr9Tn8s7p6O5bPG6y6wUK8qsE+FiDQCsFMCw2l8w3C5o0qjc2JEY3Q8V8JYWWQzvqdkp4QsAeyw2tLTJjJWi9at7p+LEuzdFqQooQaR7tI22AZFp4j0GoifJhwHMHfvoG3GY9Z6nfgGXZ/wVU1t+iypRHjaFjn3DrsK4B0bsg3PqSGJQgtlqEKXBcER+d6uOU6WCGXCVvdbxDfUcJ1Q1b/olOCwHT0uSF05JeA4l5+zLN07HIq3fI6Tps+SLErIRA7YtOXcKWGtpX1S77Jk8zFu9tbShy01ztKPYitK0LZluqb1M+mY3Bpszt5b66Zrc68uBab1pNdr0DgleHJQYzAYzZEwtxtwSlhF8iVLNkI7lBFb6JIA5EsPc9AY1QmYgE4JIE5kMFqdnz2Oj4AJDXDW22rAPQiw6vPibgVrdpwTHzm3xf2SANwvChXfgO6B7JTAcLF2hj2WMkeV5oV68azvVnO2YESFLJmOm4BVSSIn1ZamqlEPu49w/aoqX7f5Sq8AzlalU62L52SbHZEO0Nrdigiq0ju048AYnduMJ7wLUMmCIMGWbMM+UYSvPGOjU4IFIaCLb6BUbGJfBOtVKnAfRfs+RDgLaLwGqtAF3geOE1TiU8UfuI9v8FU5WmbVH8JRpj+aSiKZCniFsbrfU6cEUYYxUoQi3ioKjoiEHYojRnXcO2Zhx0mTuANioSiAezJbCUdtS/gsXMc3+LbK1zvz0I8FTk+pU4KFQARwZU9lrTqx/Pc438hrMERhWMU3SKeEjMDD0zuZCwrDrSd1gkKf52cwGM04Jdxx6ZSw4uQLvG/cnC9zS5hHN7BNdVsImJR8iWjTmtF2R5XQTgncl7P7Ok24BwFWfV6sYs3+7O0kuoHnRBJwDxPv6XBOCUFOzzgjAK4I185BRAnj+CKN4rkSxsoiW3FJJ4iEmMqqdDuSyBjf4KkG2GyV76gC2IJss7Ull8Rh4ec24opG7LTrRIoQyRF46IGNfOdV6V5z5/UW0HWFMtR+jX0RVcdu4hs8OyUYYg8oQNJxPk5SrfIh3y6JubEkgE3jpK+sdBeRA6ZIEapA5GQ0aUDcIcKOk0TicqEdyTE3Sowox0kL1wkl3goXO+BSKAMbN9lNZ+ox8GPAGAcK8DxaYaRHq/zFqng7cQnMGVgVZXNfffsH3ige2Nu0OLN+PWkrjHA+d1scC6y2QTSEx/MZ32ASFPoaKHXrMJ9CHQaD4RYX0wxtFiW4HKt3l1izwzrxuTt9+T0TMO2xqp47JfBWMaMe9jYCOyVM4iNgzuqcmBMlrGh772J/Nwj14Jnq2ds8J9pgM6BQDz43jDViByFGXaBTDUQC+wbHNzAYS8h0G4IIHnhB8WNvla/5hSdiAzlrEFYUTm9XAZyzyqeRyPD6PpBtlkpiXTa132pLPUlEtcovVlNTHSeUU8LUvirdYJ3tc0tCW7lqQRJlCSKb+xsfIG3iG8rIdG8Vn0b3DlpVOhCw8NfzPkl7D2CXWmec1Nmr+yTTzeIxO6FMdpykWrwDUQcbKy4jB/yKt/LiNdvPsujeAV+7xHaEMRIe8GzJdHP0kh+XI1dODbDxjKrluaCw+lGy4hAqcDwOKd6Cvu/OKWHuOqHmG38ssloDhXZK0M/dNu0A8Q1wf1Jj1epi3ifDzd26+9tnHBmDwWgovoFFCU5xZVc5C710b6D9/Yt3+1LcBuKFByxdiFYVYZ0SkopQri5n1MR+Ujl+aBAuNQlYt3F8Q/mc6NI9CLDqTgnntpQo4ebxUPv760dDcTycyH2Qa+e2PF9duxHSKSG718LxDYy6wMjV05F/sd7cPSieMTqeK2GsLLJkOpUgkqTnZCo3oW3IdLNVvi+yTW2xFqupndiSE6uYU7LNchGptS72mEttrEK2+CyzFf5UYkMR8TVsyU190qN9siShHfTJLEE0PwaBTE/uaZv4BmO1o8fKVVdV6UUynXpvbwIBPE6EMlZOCXoCVv4uoFOCIsJpx4K3vxDfQBTKQEWYbeSA3oXHH9mlojyEE6eEonsH1QUF2rFjqTgvcyrw0ZhGoYyFowwo/2GcTAUexPtbJzKpCpxTdKOUT/cO7XxjcQVZ1wmqoLAuQEiiF3f4uwgZEaN1OaIfC+7L8WS+Og0f3+Dv89SJQ6nPJwwGIx6gVfW901GtOTOLVa8IBTx2YVt+ff6uqvws4ulbSUXoxW2vIsGzACT1ss/RvgBzP4ArQhl1gXs44MbqG7CXh6N9TARMDEjjG/ruRAkwt6KgaVVFCTgnfjZxCDLFGb3u/DaT20TAfiYgW/DmCyxKYLjEVhK5Gja+oSNiwWrOFoyokLWBpm46QoUlkL/KAtq22tINseDcJpa4AVwk2+BbalU6KDdtF+26LGP5cxHaKh/6FLUt7SNFYIA/Hk3klYDQw1mf9GSVj9dQ3LNT1fk0oEBjfgzae0AHEdtJU4qOdBbQnmCq5rZpy/w4KSzGSRQldNwSsB7u8HKLeRq0sQOC1pZynLSIHNBVMdu6uYSOuYF7S8aCZMRblHEWNivA2hDGCJu5Vom3DOOkCBwpQrwAmCfgJbCWsTnGOMn+tQGexxWRbXsNWmceayLdrk/WhTa+wdvZ8Ro6otgbasU3wIZu0jd8OmcA9OtiP5D3twjresFgMNxhf7OXOjyBMMGlKMFWzH8W8LoLqtLz+Tt97bMrEjAc3VCjKjSoU8Lq9m2GG2z1korQcbiKUGG5J3eW0YR7ULa9V3VefF0iSlCOCIvuIBjd8MSlHe/X1naEFOrhHk3HY5whYwXiGzzPizNwD0KnhIjG6HiuhLGyKFalkwjgnrKAtq8ALrOAFmFtYmtUUtsIG6AtZQWwrVOCKcu4E9oq34K4zEaKWBDAsFEF5K9NVYh0znD0PmyhJ/Pp4o4FpwTipIObIrZ9SFeZ7ityYBlxSa/whz6ZeT3l3l7riJMRVGLb587rx0k/jVluMU+7AMhHBYFGegyyE0onJdOdVvd7gml8sbm/5TiJ7h1E1wrZjnK+6TgjstWF+CFPTUIZ6XJAPlYnV+FPFfu84dJumg1qXZWuFW/5s8rXrh0sjiUFWIlIw7fdvv7+9uzWoFuHWc6hEPsDmzB4OJ9Vrtr34Vkos3h+v58lg8FwBxi/kIR57VBvq0wFPt+sakUoAOynges7HEzEnULFLdjSvnTvVH7PooR25WejuJOdEhjOKkLlPoRfqS4WxoAggZ1a8sDnxrt99+5BsCe9qhb32aiizyYCBAS083N35u5BDBpw7y1b8OYLWAAC/Zpd8xh1sbUexkFoFKl7UDxXwlhZSGFBZjOelkudVACPXVvl+61K122+kknLTrEC2MKWXJJtHXvr4qDiDndW+SoWxDZSpJPLCnIWKeK9crV+n4R7O7uZQiWRUUXoPOPbl1DGEGEysxZvJbbkRKILhEZAAMMx0Ha/bjSLz/sbCdrFPkknHWHzOKvkn/qMbzA4TqjfhSOAbUlgWUmdHSeFP2cenVW+rctQaKEM3qPZ2AHKbfoFrzsvvum3PC7qREjNQs43GqGMzbyNkT9Zxwmfe2I6YaRPEZzZ5cjSdWJNzTk2Qpu60PZJjxESerEwOyUwGG3GExdVZeKnbhw7Od6qZ2fjPszDSS72Z+8oAQICyBcYRi/trIvzlsLJVQbuJ4TIz0ZxJ8YoMhi2wL2cWYC+HGN2dizY35q7B90/XazotwHPiXm3BBQgIF6+fyrbaLvXFQ8ebDpp81XCRgROCSu83GM04ZTgWZQwHMfpHsS3FSM4ZJ5yNgOY+MA2GCsbEptNAbNVvj8AuTJ1Et8wr+63rfC3JduMMRTexR1urPJV1aqy0wESkdIiWIluu0llJLI9WeWXxR6Q21HGN0zT90PtD5/76DnxZyzJNjNJNAtqAZ1cBZm4hPsyV0lNvLdrEcBl8Q0hnRKsBEdqzrCPb1Dj9XZS+VH3vpLX4JH0k6Sl5udWbZmt7icKK+C1qh3txFulkSKdgEIZSzI9uw4KETuw+D78jpPOnBKS6v753B8+vsHnNWjnbsu2hM1KdErwXfCki7rRrYuaO7/JccLbJTAYDMd46spclOCiYpcJmDwBU8zQfvomRze0Nr6BnRIYjgB7EFg1752AYVFC6fPChUQsdrvgcmMLnhMVHk9cEJ4rOCV8JpkT4ffs3EHHZsA5EQs/V9UBhNGQg5Dn+IZhsrazdfRuCixKYARHzraYuBkPC12wj55Zqn2MVtZeYwfc2MTK+IbMm5HVliSLd2jL+SBp15a6DXmf4g43JBVsBOCgTX09VqLbLloUsbEI+TOvlav1ozigHeEottXUMFnWqa7Rxjd4zcYuE5hYVPhb2rvDwgOuwoZIL49v8EO4YTU3VOzW7ZPZdpTHIApEcJPQhkzH6t+QtuQunRKk6CjZ8LFx5hGN9Ek/ZLrZKcHu/FiVnh7DZ4W/xnXCZ1V4E9X983tbeIPW8cHjvW0WmNitZ9GJzOd6eNnc6W+c1H2WcG/H8wDPYDBoeN3F7TSC65X7g9rNh3sXdV3dzooo4fmMKAE28H/jtSP5/Rsuc3Z2vfzsWTgChivMGWegKtTWBfas40ISaXT7xLEoYcXHjceTOfH60VCcDBXpCM9mv/LSffn9W67uBb2+1sc3yGfTWSCnBB5LGPWx1VP7yKeeBTbDSIV6cV0NYyWx2VtLbXiom/GYdQdrTRu1j8kqX/iOHSj8zIbMV/bumQpg4gYuLth3rCtXNfENHlUJJjJfVqUTL2JTVlOje4dtHrOtKCF8NbXuvrAh2+A4QBKl97fnXGq9e4fPe3ux2nPepyzEW6m4g2bvPieALe9tjZuLhPeM7/p9Ulb3Z2zfqFXA6IRiM05iW4WMudERwE6cEojtWDfmpixSxAfKhTL042WjMGRbCn8wuU54jRRxJHgqtqNPLl3/PvxGH+hiTeoJZWbexR0AU6SIr70gNb6wUwKDcZbQ63bFGy7vOotwYAJG4dHzW3LMvnUyEocDZQP+ideOpPhjb2MtbXMGDUjssVMCo+3Agqe+56pQ3DfBggJGHpd3lSjhlfunbtqbI40k9jZ7sm2h9z1/t5+6JNw7HctijLeyKKGWUA/2sbKchw9gwQOLEhgugEVZ/WBCva6ICXFdDWMlkXNKIG464qa5rZLbXMns0057cfPThgjPEkQAanUbLtjtRQn6ytWQGcC1yLaUSKcRwLVFCWXxDR4JYJe25PMKf7/khimGwtdFlMXDULsHkLjDGo4ytavSdVb5noUyLnLns/3Rxr1jTqbbxAWp12qFMr4IYANpKa+PLN4qRi95nm+M8Q0+7+/C+S3nPCBLRkkHnwaIb9D3SX/n1zvziFrtqNaTvttx8X34VCWoeBY3czeIfkHgYROB5Wa8X3wfvq5EKxYO0A4MBsMt3nSlAVHCihNeIC59YG9Dfv9C4pbwC8/fTWP4eBO/ffnZKQHDFeYMB0ABeiinhFWv3Dfh9ReVi82nb544qTzHqt9VnxOzbgkY4fDhF+/Jr+96+CDdl2PQkHXFznIePsBOCYxm3IN8xzckooReXDsaPCIyohIl2GYA1yOAF38+i8Em1oZsy1UA0wjD9dqVq25iKGKxys8KZaz6pOWDvCnzXf7O44a8K+I0L/DwTLbp4hs8Co5M97YN8n2S6CiT9EXbhyCjVb5HkbKJ8KPeEwtOCcT4BpxrbOMb8JxZ6Mh134Ij/B05CiN3bwu6UGbDvk+aRPJBhTJEF5NcVbqlY5QToUrhZz77pHa+sRQ8KaeEZD3p2aXAtJ70afmvFeLNasQ3TFV8g+/cQVfOOG7b0b9jBIPBcIs3Xt6R48jL9wfi/qmq6rcFriXB8XHV8VhCwHz2zql49XAgnr97Kuf29z5yLvSltRYh87ORgFnv8lYxwyEBE8qqmklyLR6/uC0FyDAXQtRAXcznRB43Hk8EH8/d6cv2RSEkz4n1ns2wOCjLeXiNNOL4BoYDbKFQz/ucOJNf2SmBwShgsze3yre1icUYB1fxDT7JU51dv01xXZa0BMB3dhbvXccWzKJ1Tgn56n77ik1Xm+F1rsO2T+rzlOnItqWqpvYHE3HZCWwBjb+zFncQ7d2RULIXb5mt8n1W+C86JdiJt1T1r53FO15DVq1Njm/QDJRhyTb11SoKY2zXjtAX1zoda6cEneNDDEK4OlXp+KDguyLb6FTg6/zy3nYXgwH36ARiBzy6ZsznTTfvw+1nObNSoMtIsAm0o99526UzjnO3KD+nZzAYDdoqXzu35cQtgZ0S5ngdihLu9sWHEpeEtzywJw62erXaeJWB+zK+K0JzBAw7JTAcEjD9UFWh3I+N4uMnLqmx+9M3j905U7AoIZ0TX70/ED/32TvymeZ1F7bElcRViFF3XvQb34AFDyxKYLjAdiih3pjjGxiMpRbQ1gRwnap0Q3W9L8CQpN/I9hzfUDd33mRl7dFxQleFbmM9nG1LWyIdVeHO4hu8WuW7I9vq5M43IvjxSgDrLaDVtQl7q3xLMYDtQrpbapUvghHAcG9T3xKQlvCSuVCGVgWMG3U27Y/nCTlO6u3d8T2JWvENIBSgAKzDas032kgRn2S6zgnF1lmnm/YtFe8SOL7Bp+DI5Mxj0Y4gdIFXYYW/b0GAznHCJ5Gtd52wF3hAFIbvOBGz81Z48ZbvdmAwGHFGOMD4xKIEPQHza68cyu8//zF2SahbtBOiIjRLwNgW/TAYUTgljOOsCo0Jb7ys5sNP3zipfSyeE+cAQd7FnXX5DPbzn1VCPXZJcOgg5HlexGhI1tswXGBrPUx8wyBS96C4roaxkijGN1CJjTpV6cb4Bo+VYXqnBPr5VXxDtgKYZiMNKuJOZpC0I2jq26u7JIiSqyBvJBdtyakE0Z/8gkfFB566LFwRG96t8nVV6ZafJfSrXAVw6PgGr2Sb/t7GayP3Scv4BhfiLb1TgucoDFG/T8Jnn3edoL0HqMCuPU4tRIr4Fcq4dUqwi2+Qr1/rip0a843ZUcbj/a2Lh7F0SkhjBzzbxEsnFBFSUKhxGLB0zYLPXkVhwBHsHALcxx75uwa9y5HdPbHW7aSOE755CZPzlT8Hs8X1rG+nJwaD0QyeSkQJz9w+SeddKkBEiGNUbNmsoQiYC9s9uXYAN7IH9jZSoQLDDkikZvd2/Dsl8FYxo70EDMc3VBclPH+3X/vzYVFCHo8ncyAMp1AZ/dare7XalzEnU33HGsG+gq1TKoNRxFYS+wbru0nNvWU7p4S4+jGvNBnBAVmM88x5S7LN1pbcEN+gfic8km2LFcAd2wrgbMY38eEXohtsKzR1bamr+PdJEKlrqBeFYUMyPXJ+K7Wqcxbf4LtytdgnbaNVZAVw5v4WInAFsE/BkV6og7+rE99g8x7qxDfolv5eLd7lfeGGuFSRIvOqdMox6j6MhK5KN1nM4++oVVzpfGNBfL7h8o64vLvhTMwnr0P4g/GzFHbjJKrwg1T4ayz/fY6TM4dji2xLuYnvWwSnE1f4E2biQ92io8zMer5QogS/IhmTE4pXEVxgRxsGg9Ecru5vSBId5onnbvetjpF1JuQqXIXHMiIEcElgZ5l6yFayea8KRQKGnRIYDrDdC5WfHadVdUy4sLMuLu+uy2emp2+duBElcHtLPH5xPie+89qBfD5lOIpv8O6UwPENDHfIRtycepwXsVCUnRIYDM1NWTe+AeyRXG3G+95I1hIbREtxdZxOUk2tDkbdkN/ZWBP7m/bZj6Zqar8ZwIs/t9lIdhEp4rK63/d1mKotu7YW0MkEaCO2qQNd7rzPdjRZQAOsnFAyVenU8eHSznpqWetqnBSehTJ69w46oKotHylS/Sjvf/KS+IYvfky47RMRkG0WxyqKt6jjw1e/7ao4t20/dy86TtjFULis5rYlwntY3T+b+SeyDXOnT6v8hXu7xucIZHqI+IZonBKEm7YEpwSolvQpmlo23vvqlKodwznaMBiMZu9vXA9/0jLCIUu++IxbihmPnd9O14af89BB6MtpPUAQgD0L93Z8AYsJuCqU4dIpoT8KlZ/NY3SlCIebjkQJkVmDh3ZKALz3EZ4TXcYaZYWhPp0SbAu8GIziHguKt049OgjFKtSzZyAZDEeQ1ZaWBBHgz37p49a51DqCBq8juHWxxbHqVPhf3d8U/90XPCqcZgB7JjaMnyXxWNn4Bpmn7HEr2iSukDEUXskVzYa8DdkmCaJ5BbD3rHRNfIPP8+sqZ9XvOjVibuiVq9/4mx8XtjDGN3gWyrhyGFBRN5m2JLwWlKUP7G2KeqKjcBW4OsGRbVxAvh39EnZaAjj52gmae08XZ+Dmc384Sd9D13d8gyPL/xicGlAI51PsU7aW8wnj3G3REmsd5ZQQIrZA74wTOOaGnRIYjDODN13eEb/0wj3x7G07EobJl0W846F98cytE/HUA7tMSjkAFptAFV0opwQmYBguANb1YeIb4qwKjQ0g0vu5z94Vn75xLNf8tnt1WL3OogQFKLz46rc9IL+vs3fE0MQaeRYl4F42z4kMl2I9GDNPfTolpEK9uOZEFiUwgqPXndsW22x+ntuyq7Qsi2/wavGuq1y1JPtggMlVAFNfX2PRruITwhIbi7bkWOVHb8fU3t2SZLKF0Zbcq1W+pkpRWuV3LK2044lvgA7hrbpfe2/btcFCfEPgzHnfhBu0pe7+to0UmfdJzxbvBtLQ191tJi0t+2TGvcO3Vb5uvgntlFA3vsE2SqPN4i11b7tbO6x3ITJIvSP/Ijj9z/1dg65P2o2Ta2l8g1+RTKkzjteYG93czRUyDMZZAMTsAW4dj+Q6hkqiMPmyCGjD3/+uhxx9QgxcZ8OGtfeq0GQCZLtxhgtgpCnHN8SJxy5sSTeJo+FEvHo4EA8fqPmRChbrLeK9j5yr/fkw5sC1GgqOfGGc7BuyKIHhClu9rrgXyimhF9d+RlwSCcZKQlW1hSOIikSXvA6PJVkuiQ1ZTZ1W+NuRyG7ztQOLO9LfdchW2pgdFU18g8/ceQPhZ0W2gQV0snD0SSrMM74D9kmdBbQlSQUPi1i54psc0RHZ8jp8VqUbojCsstLl/Z1pS9+iI+3P22fvDvf2PJrFdzvqnXmE7+gl4c5RBh54cT3i23VCS8B22lkVj2tK331Su5azdClw73IkrPrkBISdnt+D0b0jsFuU7/gpBoPRHHY3euLcVk/ONa/cH5Bfz+QLwwc2Q1WFslMCo4H4hlOOb4i2QPD1l3bk95++YR/hwPMio2lghfcgmFOC19MyzjBCiPWG6B4UmVNCXFfDWEnABjKM86oiyzOxYYpv8E1saCuALWzJIXYg45Tguy0XK5kDx2BYVs7miPQA8Q2mPilaGN+gqtKRuPRdNWogDQNaQNva3MMDY7ZP+nXv0Pc/nyITSZxqBR6d2kIZv1b57twz3N3bdiKX3hpUpNs787gfJxNC39uco3OUsXSdSIQyQeIbIrDKdxUpkoqOZHxDgPnGkQtJnWtwJYwApwTlOOF3XT7vE4s3V8iYG5/3BIPBaB4PHSg75Zfvn5Jfy+QLwwewmg0LTnwB1/awR8dg1MVWD8kXjm+IFW+8vCu/fvrmsfUxeF5k+HNK8DwnslCP0YBTAqDvUayHPCEKXmNBXFfDWElAbi088sjNT+/Ehr5qVfgm04Wr+IZOLr7Bu1V+0Epq/fnl7yzItlykiOdqS318g9/KVVcW0DnXCeE5CsPgnhG0HS0FR+uZdvQu7tA4ToSIFNGS+bbxDdiWAURHi7nzPvukgUiv6ZRgG+/SRHxDUDLfsk/KOSch0vHY4a3yfa7D3JH5UsCVCDy8uhToYig8xzd0pcNAcXyxm3dBlADvJ4RDgG5t7lUok9zLufN7XgsyGIxmgRbV7JTAiBXhnRJ4q5jhjnyBKk0oQvNuVR0ZARMj3nhFOSW8ePfUyk4c1sgsSmCcfacEfhBkOHYQGoeIb4hrTozrahgrCdh8VJVtU0UQeSU2TLbkPi3e9TbUNpvpWbJNbUT7JNv09uq+dnH1Tgl2lbOykno6k8dTldSdOOIbPF2Dy9z5HHHp2QZaS2x4vAZtO1p+jsrePUx8g26MUvBH0mjvb8tFDLRlLgrDt+io8DOf5KmWtKwRg4G5syFcUIzOOC3MvVdzzlR+Nr6fd3VW+fjzoI4Ttk4JEDuQOG+Fd5zwH2viSuQKgmEA3OM+10AmpwSfoiNjzI2/S2AwGA3jYXZKYEQO3Dj275SgJlx2SmC4JF+8EzAJccmihOU4t7UuzteINJLC+uT72KpwGWdvTvTvlKDOx6IEhnMHoZHP+AacE+Pa0eAZgxEF1ruqMt0/QVRmS96+KkWVpRyIJNJVlvl2StCJIqycEuab8T6t1U2VzP4rV00kkZ1QZk5c+r+/F4lsf+X9eqeEGvf2NEx8g3Gc9Hl/66qQrSNF5mS6d0cZbXxD4Hvb1nEiqUgP0Y66aBTsj76Ejfrce0vxVjJ328a7uCeA/Trz6CNN7C4AYwd8r4FMazmf0Dkt2Yqe4P3Aq0Aw7LtPatdzHu9tlxFWDAYj7viGW8cjctUd/j2TXQwfVtWDsb/FBKwHcW3PBAzD1dp0M4RVdVoVyms3WqQRXZSAwiloaRYzMZrCZrJH7909iOdEhmNsJ2K9vse+DG5FMT67xHU1jJWFJIkwA9jjeXWb4b4rVxWxocv4thR3ZKvSvTolaOITZr4rqQvnT6+tQz4WVqb7tl829UkRvJralrhULiixEMAeNQl6C2hLF5bUknyGZJtnq3yDUMZXYyqyLX8RUuRi2Zbz2AHPTiha9wx/m426drR270gcjuQxZFV64PgGj+3omszHPumTeF1mle839sBdpAnsV0inBO/RLIsxFCKGeBhLcQa8HxR4+O6TJucrnyJXrXjL0/kZDEbz2NvsiYNNVRn66iGNhGGbaoYP4MaxTwIGBQlYWMBguMB2IkrwVRUK/Th51I+OgIkVD59TkUYv3z8lvzY7J7KAl9G4UM+7UwIL9RjNxBqdWsTl1HYP4vgGBsNgpw3Wxb4JIs1muPcNec3mp4qxsCSJphmSSIhWkl3OnBpqbCJjn/RPABsiRbxWri5aQNtW8GbdO/wTwIY+6dMpQbhzSsi5d3i2BNfH3HgUbzm0eFd9chrEvUNHpkuhTMB7u17kwPzeDt0nfTpOuM69V+4dKr7BdzG23lHGnxuLKfqpztw9ltFLIZx5RNA+qXNKsBVvAUCUAPO37z6pdZTxOMYYHSdYlcBgnNHKUBoJgxviuEHOYDSan+2RgEHyBcBOCYy25mdnhTwsSqBGGg1qiRIYjMbjGzy6BwGQX+HuzXCFrfUkvmHsZ30H+2Lz+Ia4xum4roYhVt0pwTtBpCEVwlgXL5IrNuQttmMQkkhjr67Itk5QpwTb08/dO/zmUktiQ/Nzv0IZ/Ya8TZ/sZeIboiGJPBLpWuLUykq7IyuAQ1i866MT1A/8kkRuSOiF+AbvZHo4cYf+3rZ0nFjryn4BVem+xVu6+AbfVemm3HubdgDyF54ToB3BqcYnTNFH/vqk2/gI1ZbKecu/CM7NvWV/DSbXiY69wGM69f6wqHNKAPh1StDN3QwG4yySMNQMbSZgGD6ABF8IpwRYm8F6isFoY342ki+wjuV+XA0PHyinhNsnI9EnVu/ynMg4q0I9APIrUJDDYLiMbzj1NCdOErdlwEZS7BgLWJTAiAJgDweVqzEQROnvApLQthvZMr4hGW2mMcQ3eN5ELlon16u2zNhpC3/QiVTC5M67ihTJVqVHUsnsjUjXVffbk20o8PDtOCGJbGGIRvF2DQanBIsrUPd2NlLE9zgZjuwyE+n0Y61h5nxS4e9zQQmfmav34XL9YFuVLol0qO6vMT64tspv69oBRQl1HAKcxVD4dkrQCsjqRGGgU0IAoUzhZz4jyVSEVeH88t6M6yGewWA4squ+ZydKQPtVBqMJbPQ63gkYfD6CPSUGw7VTgq/87FgrQmPGzsaaOL/dk9+zUI8RI0II9QDIr7B7EMN5fMPYl3tQvNFccV0NY2WhrPITu10Rg1W+X4t3bZViTVty3/m3Knc+HLGhjcGoUW0p21KSbf4rgBccJ6Kopq7RJzMW737JdF3VqMdcah2xUYOARoFHDPEN+E+v42ThZ7btkHNKEH6dUBSZnv+ZTyLaaItuc6xOZ+4oEyK+QYStSteS+ZaxB0D+qmgW/xbxuj4hf+6tT5rWQPbV/dIpwWMEhdkpwbfoCcZJd3OejG+YhhLKiKBCGRUolz0/OyUwGGc1vuHm8ZC0yc1VoQwf2FwL55QAkaAMRlvzs5GAQWEPg+aWQI1wSOfEyMguxtkCioxAdOTzuTCdF9kpgeEI7B40h5LCMWrhmc++KH7sZz4kfuYXfkV8+tnPiqOjE3Hu3L5419ueEn/4a79avPedb+UWrho70PG7iazb+PRPALuzgC7GN/i1LjZUO4YUd9T4HGVeeohIES1Bk1jl+7oGh9XU6IKijuHfytqV4MfaYn6BILI/P2wQKfGW//gG3b0lIhgnbeYLJe7IOsqIoLEDfp0SFol0nU06yXUiJdP9une4rAh3dl9YtkMvUORAmbgiqHtHHaeETkecps5b4eM8RAyRRdZRGMqy0veWrlYI5z0uKP8z33MF42yD9w7iwP5mT+xvronDwUS8ejgQj13YrvQ6FiUwfFaFYn/zAXw+Yptqhktse87PZqcE+0ij33jtSLx8/5T0Op4TGT7nRHgmg7nKl+honImDYTBcuged8pzIogQX+JPf/FfE9Ru3xM72lvictz4lzh3siaefe0H86E/9gvivP/0h8ee/4Y+LP/y1X+XkXGcVitiYyq/+qy0DOyVoCT87m1gkiOQxvJNtugpgj3a7hmruOlb5kmzzbCljImiEzw15rQW0nYuJzKRGoYxvkkhj8e6TSIf3qnXvsDweWGlKoYxnG2n5PhaqRv2pk9U1mCr8O5b3dsD4Bt397TGaRUek2xLhKITzbZVvbMfgZH6N+IYAkQMxWOXr3aLsxYC5tgzs3gE/8R//VLiCGmOccjGbBhDKmOJ6AgozPX+WjLMN3juIBw8dbInDG8eyMpQsSuCqUMYZEyWMk+cjdkpgNOGU0PfllMDxDdaiBMAr1EijpL1xzGIwmsDGWid9RgQyd8NDf4PnwWQrm0UJDOeihPF0Jgs4m45UiNk9iJ0SHOCJx66J//lP/rfiy9/3RWJzcyP9+b/5/g+K//3/+Cfi//h//L/EF33eu8STjz/q4nRnEip2YCbWOp7jGzQEDUAnVPCb51w/viHIhrzuffg6PxDQhZ/V2URWTgnTpDquE5xUUL/zeA2OKvyz8Q2yLUUETgmenpfMQhlLgigTKeLXUUY/TvoVyuhz7636ZFYo4zE6wRTfADeXz2iWqUv3joS09B7NohVO+R6rTWS+HZEOx5p4nrdLBYXezq+xyq/jlACihFkSKSJEK9dy9tegJ9Nt5wsZKwJOCd4jRXRxYL5FrvmfhYhWYZxd8N5BXCTMp6QooXplKBMwjLNYXZ53SmBykeEOW76dEpLzxEjAxC7SA9zuj6SABMegZUDhlA+SmLG6gOdAsL0/GU3E6XgiDjzQmTgnAtgpgeEyikQWJws1LzYtSkifWyIUU8d3RS3EP/273y6+6gPvywkSAL//qz8gxQiTyVT85x//2WDX1wZIO+0AGcCK6BJhnRJMdrsW2+mSbEuz0v1WAOsq23xWCbp3SkCrfL8b8iaCRsGnVX7+Z7ZEOFatQjvWIUdCVzI7u7drfIpIpnuPbzBY5cvfBXdKqC+U8UqmayM9/I0xRqGO5fHQKcH3OKnEWzoXFBFBhAT9KjC6VxHAfjfQ9ILCsH1Sty4jufMEiMJw6ebi3CmhhusEVJvBV5/Qr0F8zt0moQ5vbjPcgPcOIqwMrZihDc80uEnNVaEMH9XlpyOfTgmqb7NTAsMlttf99uVBMkZjBj2jGnY21sSF7R5pTsy5B7EogeGpwrzvaSxB9yAAd2+GK8Aelc813jBi4Vh8V3TG8NSTj8uv12/eDn0pUQPstJUFdIBKR0MJsM/KVVcklbQlT63y/RLA5so2T+c3EUSWx8Pcef8EsK4qXf3A54a8M6v8pAIYPptoKplFuFzqOvcEKCiVeMtzfIMmrmEeKeKxwt9R5SzE3CCRDohB4OGzTy6SbfYENEYG+c5bD01amiMk7K4B+gVUpUNb+l6Ym6zy/Z1f74JiKyjICuE6gUWudVxI7K5BH/9ku56FtgT1vu/KEJNbky+RCbRjyPUsY7XBewdhKkNvHA1Ty+8yZP8mxs09xtkjX6DCDdY1PoCOm1wRynCJOfnC8Q2x4+FkTnzpHsE9iEUJDE/Y9jyWILcCc6LvwhHGaqzxTseTlY40iu+KzhhefOU1+fXyxfOhLyVqKAJ4GqAqfdHyPx6nhHrxDWFsg/M/80n5aZ0SapC3igCeStcCv5XUevLVq1W+zgLa8t7EtpMkkW+CxlTt6CsrXUsQ2ROnvVykiPBc3S+C5mvrBCa2ETXKKUG1Ix7bF/TjlMf5xkC2iVpOCUmkiO+KcIcxFC4dZeyr0sEpYRrEKr84TslIEY/jpFYEVyNSBOabMHFBi/OmT6j7Io86UV4gSoCNRt/khOt7y0o8FnjOY6wueO/ALw62emJvY02Ona8dDiqTLzAuMnHLaBJgU13sd00DneRgfc9guI5v6HuPb2C6g4qHiO5BOVFChIQX42zBdxRM6h7k+VmYsULz4mjqUZQQXz9uPoRlhfHCS6+In/i5X5Lfv++LP7/y677mj36j9ufPv/SKeOShq+Lw8FDEipOTE6vXTccjObFsdydiMh57e48n/bGM1yieDzZxj4+OhBhWy9GqA3i/p6enuWsYDIdi2F28rmUY9sdiOJ7I102mU3FyfCIOZ0PhA5PJWJz0++LwcD7QDQYDMR7R34cNTgYTSURkz3XUH8udbJt+OZuMxfGJsi0e++6ThfeBk8jR4aEXomg8GonT08I1jLCf0s8Pa7g799Wx4L4aeFrUwb3VL/TJ4XAoerOunz55uvhZHh+PJFFlNVZOJ+LwpC9Oh1MxHvu5rwCnpwMxSsaV9GdjRZ76ugb4LIvjywjGzj70SdqxBnKcnLcf9Elf9uTT6VQcn5yIw/VJrk/ajPeuPsvj46H1OCmmU3H/+EQMhiMx7Xb89cn+4vs4Oh1L4tJfn5wkfXL+MxAV9OHzXRuTjwddENoSxgef67ypnLtPNfcWvLeZp3Ey3//7/VO1prDok8PBqRiMxvKzUHOWH2FA/2TxfZycDMQMxm1Pn+d4NBSnhfkN7gkY48Y2G7PTiTgZTcVmZ81rn1RzN3x282uewLXAvdUdNX7+k+FETAtz92AwFJPxyPo5xyf29/dDXwIjor2Dh69eiXrvIAZc3lkTR8OJeP7mfXF+yfx9+3iUFlRwu/pHG8bgJiJOb927LyZbzW/dHp301Tce1y6Ms9+vJwM1bvaHfvbUjvpJlf9kxP2YiAvrat/xxbv9yp/VSfL5zsaD9DVnvU8zwmAtkY3fPTqx2pem4l6y5gMul/s0wyXWO2qP6u7hsTjcalaYcHis5sTOLL+2gz4det+ApWwNYTyeiL/4N79TDIcj8RVf9iXibU892dSpzgRAVAnOOL6t8nUVwGGqqRfPb8ORYZYyHqPjO76h8DOfRYJaq35Rs2o1yaUOXW05/52nPqlza7DskwCwJcd+6bstQ1vlL1Rz16haTbPSfbejIZrFJ3RRGACrmJtMJbXtMdprlW8YJy2PBzwnCNWlU4JXRxm31fXursHenQfHSd/6ZRXXE851Qo2Twl3kQAfjG8LPNwsOFCGclmp8lnC84WQWIL5B15ah526//YmxeuC9g3C4kJC9d0+XW6jCmAjY7PGIwGge2M9Ox37WE1h8ylWhjCbiGwaZ+EQflusxWlXHjqt76/LrvcGkcgVvzNbgjLOFrWROHHibE9kpgdEMNtf8re9wjAaha2xgpwQhxDd963eIZ55/kdRwf+NbvlG84y1vMv7+O/7hPxW//NGPi0cevir+4p/570nH/g///B+WVkGEVrJUAfUad7bG4mg8FBubm2JjY+btPY57oHy7rTnfa2J/b0/sbDTvlLC5cSI2NjZy19DrnYitzfzPqqCzMRbj2c3kdTfE/t6u2N/ZED6wsXEsNja3cte8vjEUs7Wpl8+zMxiLmcD3rnDaGYpu57bY2dmx6JMDuQm+sd4Vm9Outz450fRJyBnqiOvermFz41RsbK7lzre2dl9sb29bXUOve11sbu/I7w8O9r2Rlxvr0Cc3831yvS82N3te2nK2DtVWt3Lnujvpi7Xufas+ub3VF731dbHenQrh6b4C7I77otM9zveH4UR0Oze8XcPG+tHC+NJduyd2d6BP7pHHyensptjbg9e9Jg72970Jfnprd8XWFlzzbvqz9fUTsbVFH+9tsDtaE51uXhG7Pe7L+9uqT24ei/WNTdEbdsTmRn7MaBK7w8X3MezCeH/H2zWsrx+Jza38+NLt3hK7u9COW/Tjrd0UPWjLtb7XdZ7u3lpbuyd2tun3lu04OSuMk5t3JqLXG1r1yf3TrhDdUykaUePD/F5rEqO1oRCF/rfd74j13sDb57m1OZCEPp4PN37h3zYbhVsbx2J0PBZbhXk0xNzd6dwSe7Cm3Ve2sk1ifTQR01l+zbW+cSrEpGPVJxlnD23aOwCHJu6z5Xjw/ESIV0/E0biztK3WTo/l1+11P88SDD1Wpe13Nm6Lo+FQdDdgnaaepZvEWk85bG5b7EMx6uOstvnmNhAiN+Te2ubOnthsOFZh1lXj9N5O/vmGsRzQWhe374jb/ZE4nK2LByqMO6PZLfn1wj6s07fzx+P2ZzjE/jbEivTFtOtnDbY+VI4fm+tr8hlQXgP3aYYD7G9D3xoI0VtvvE91esopYW87vjmRRQlCiJdefU089/xLpIY7PTVb4n/Xv/i34l9/3w+LSxfPi//rb3+bOHcQ14ceI8A6ezLzX9kGy+FiNZb/Cn9TZRu9JdbXumKcKJDrVBq6ykoXHq9BVXs6zFLudMRoonLn/VbfarKMvV/DYoVnnWpqGYERwCkhdDW1qvZ0V22JldRhqtKL/cFvRbd2nLRsS+mUMJuJafIefAkSjFXhnrPStVXxNe9t+M+n8FY33qufh3W9UNXclhX+YNE7sZ+zXFeFh3QHqtuOIAaH8cJXLEsMjhP4WcLYlj2/vDbL40H7QU6s74pJ5YwTbs5R803+Z3Le9XR+RvzgvYOzhYs7qjL09snyyMNBUm3UNKnGYGQrzE9Hy108XACiIgDrXe7fDHdYX+tI+3MwMIBim6bHT67cr4eHzm1KUcLL907Fk5eWixLgWQHA8yKjaWyvJ3Mi2vo0DHZKYDSFraQv9z2s7yC6GLCRuDPEBBYlCCH+3Xf/PWcN+m++74fFd/7Tfyn293bEP/lbf1k89shDzo59lqE2kROSyOMOronYgO1Pf9bFGjttINMtjgUbx3AsSbjVIOSdxVB4JNvMRHodYiMRynjtkyZxh/B8Dfmf1WkHSVxO/BPAklgokm0ehTKuRRFIptuOD7aA9tLd2z4vouuwT0J/hPcznfolDI1CFc99cvGztGeg8+Ok8AbjeO97fNERl9aRQSo32H98gy5SBEQmAftkjTUYCmWgf/Q8bqrrRK51xBXWn2XmIuYRNR3rOUeKEjw/wMr3IcKuJwHQh/A+8D3GMeIG7x2cVVHCKIlZM9/sTL4wfGJrfc0vAZPY3vue9xlnGzCmQl8+Hk7E6WgqztEN5axECWiPzaDhof1N8bFXj8RrR8uFetl5cYPFegxPRK43oR7a3vNYwnCMrV6yvqsYk1MHGD0X4xgd3xW1GD/0oz8l/vrf/3+K7a1N8Y++4y+KN7/xidCX1BpgxnedDX3rzXBNorffamp3GcCwGQ8vg7nTP0mkr2wLT6TXde/wSxLpSUP/1dw64tI+dx7ItmmACmBdn/An1tGT+fbtCO7bcpz0Xt2/eC971iQYBCZ2bYnV07JPeqaA1TiZ/5nPMQber1PBUVKZvWwTv5HxvvAz705LJgeRGqIj2Az26YJi7pMe10CyTy46NdiuBXE9CcIE/04J+Z/B+/K7pu1IsVX2/OrndseDyAc4QhROCR4dgvA82fkbnXUYDJfgvYM4cH57Xd7fsGl3NCzf6GZRAiOEU0LVbPe6gGejWHOHGWfE9cODwGY4jpeAaQMuJUK9OycQK1sOeN7CavJNi6g4BsOGyPU1J86dErhvM1o8J07QKSG+fhzfFbUUP/nzHxbf8jf+oVhb64q//9f+gnj3O94S+pJahdQC2jOpYHJKUNcRsJq6JpkewuJdW9nmUdzRBWKjUPVbx+5XEkQJAey1HUVYcYe8Bi3ZVrNPSqcE39WW+krmTkAyf1qXAJ4GcEExtaP3CAndNdgcqyOPpwhgEYdTQkBHGRi3646TqiJceBZOBY4UMbkD1YlvCCDeUu8jnOuE3imhXswNjJPwv08yXSdy9R/fkL+GuvENaPHnW5Rgcu/wOXeLwn3hM9KEsRrgvYN4AGPcue1e6pZQBhYlMMJYVU/8EjARblwz2g2vVtUREzBtwMWdjcqRRmgLDuD4BsZZi2+AaE0AOyUwGuvLo9WOb+BZ2gF+5aMfF9/8l/+W3LH629/258QXfd67XBx2NZ0SPMc36Aga31XA5mrqTv22FOEr23wR0dhtsm1Z2ykBybbAOeXeXS8Mdv224gwgicCW3DcBDBOcTlzh68bQkvk1871TwZGIoCLc4zUY27JGpIi0yo/CvUO0tpo7697hV7zlVsznzh2oxpwD4+Q4hFOCoS199smioLDGPSHHyVksTgl+4xu6STRN9vx4bTbACjPvTglGRxc/54f2Kop1slEODEZd8N5B3BEOlWyqmexinDF73xwBw04JjFZbVfM4XQcXkvnwZDRdKiIZoL19t+P1uYux6uPIxKt7kO9nYcbZh894rmHE8Q1KEs6ohW/4C39dnA6G4tpDV8V//elfkP8X8Z53vEX83t/127mll1hA+yaA9Zb/6gc+K1ddV6XPyXTPTgkBN5HT3N8M7VuHEMgLZYQ3IEET1ipfZ9dfJ3YAnBICVABriGz5c48uKIu51PWy0qFPwngZ+t6G7tEJLTCpcQ3QhtK9w3OnVCK0xU7ptSq9eG/XFG+NRlPvMTdaAlj9JnDufb1xEjZ2/FelL/ZJn24s+Haz81ydOBAcJ8chnBIWxii/6wcYJ6eZwbrufYmkm+9NRp2jjHJj8Rtjlb0EOD9zkAxX4L2DOCtDn7nVX1oZyk4JjLOcnz1GAibCajrG2agK7Y89VoX2uB/bABwP9jbWZJwRCPWunVPkmQ48JzKCzImenBJgvxDAogRGY/ENo9UW6rEowQEOj47l15deeU3+bwKLEqpWAHvcdMxY/uMGuG+HVjgvbKC7ylOWG/Iy49v+GK4q2wD+KtvU11yVYA1BQb4d/RJdi0S23814vVinJnEpq9JDVACHI4nSMSXDttUh0nvYJz0LZbSZ855tyfUREvbt0EOrfOEXKtIjD5+EvvbernG8eaRIWJt6Ce+iRlM1t70QDjZ2vFel6/qkR+cLPE9uzqsZKRIivsF0b3l3rMr8G/ZR6ggK0OLPd8Wkfs7xPe/lhRHQn9gpgeEKvHfQfqcEtqlmnGmraq4KZbSagJlFS8C0aU6cixK2jH/HcyIjxDgC/c6Hix3sYQPWeSxhNCawmXiMb4hvTmRRggN89Ce+18VhVhqqss1/VVmWyEZBeF27Wypktrkuh9g2lxoqgAPEN+iz0u1jKKjIEvjOKqlRKONx7E6rRgtshm8S2mXsgCSAoSpd+IW2ktkjSZR1SlhD9w5XLijCH4o21nXJV1cCk2mdcVK6d/iPFDHHUPi8tzVCnRqOMmq+8S/e0pKWEcTD1Lm/Q4gSdE4JPuMb0nESbuiuGxEc9Enf8Q1akavvcbKrixywP16o+IaOY0cXF+sgEATCupDBcAHeO4gPl4iiBNwYZzC8WFX7qgplAobRcqtqdEuLlYBpkyjh+bunLNRjRDmOzJL12Hby76bATgkMH+u7WQ2XUJJTQoTuQTxLM6LA3Crf/6YjIGtVj9/5rFwtklR1rJPTtvROGuqrRkXAyrY6/Um1Y/JZCH9AcjD3PnyGzqd57To7b1sCWNlB+iaAtZnvHptybkXujgCeBCCAi9W3gGK8Rxir/Ha6dyyKtzzON5p7oLZQRjrK+Hfv0AtlInDvEO0SJSjBjwjqKCOFT9l1WI12RKEMfu8LOrcmnzEYaTxM5gIw7qdt8Q36Puk7vqEg8GCnBAZjZZwSyp67MD+bnRIYPoDil2W57q6dEtiqmtGcU0KzfRnJl1jzs9sUaQSoGmnEAhCGD8DctJ5Uk/pwXQFnVQCek8Fw7ZQwnc3dfVbRPSi+K2KsJHIW0J5t6hcs/5ONCJ+Vq06z0iUB7F/goa1sq1HJbHUNhQiJugTRXCjjdyMckHsfmZ/7uYaOWwK4kzgleCaAdYIfn4S+lmyrQwCn7h3+HWVCVlKbx0n7KmDZlhP/8Q2uLf+duKDUmm/mIjifY5RRXOGZtNTO3dZ9Um3s+M7xlUR28LYEMr1wfsvT46ZBJ8C8qRO5+vw0Yf2XnbulKKFWfEPilOD5AVbr3iH8OtsURUfwLM9u1gzG2cWF7fW0YqlfstHNVtWMINXlHsgXABQRAJiAYbjGtienBBQlwOMAi2v8uQexUI/hXaznwfZ+7pTA1CnDLSAmay3Z22hSrBe7e1B8V8RYSUi73aTaMsgmskaY5LNyVW/nXceWXC0O/balobItpFNCDbJvTrb5JoAXiWyV1+7bGt1hpEhSueqbAJZ22gErgHX3RW0CWI6T/h1lXFbXuxSY1HGdUE4JIrxTgkc3Fu29XdOZB+5t5SjjmcQOPN+Y42Hs+yRUYPq2iHctrnA2d1u2I/QN2EyH9vQ9by6KXP272mSdEuDbbh1RQmLx5929Qyc6CtEns23JTgkMxpkG5AUfbPWWkjBMwDDCZA5PPTsl8DYxo5m+XCb6coHhOF7ypa3uQWXgOZERTODkxSlBjScs1GO4BuxTbXkQ68XuHhTfFTFWEqHiG0yb4QCflasuSSJZlZ5Mnn5dJ/SVbV6jD4BcWcicr1uV7r86rpiX7pO0bILwAzJ9OJ56t4A2VfiHrLasdW8n46RvAtjslOA5r91xn4SNN5+EoanC37czj0siPe8oIwILp/xGiujm7jp2/ThO+iaAdTEUvmMHihExcu1Q4/ywEek/cmBR5Fr3fdQVuYKIrY7xRuqUEEGf9O7e0c33SdmW/NTMYJxpXEzcEsrsqpmAYYSoCIU9iVFmY7kpYDUdEzCMtsc3xEi+tAkXElHC0XCSzns68JzIOKtjCQCLPdl1hdFsRNe0sQaG/cWY3YN4pmZEgRzZ5p0kKlj+e7bbNVcA16hcTVTuXkmFKCrb8sKIuhXAsk963gjXiQKiIPxqZnzLCuAAJFFsFu91721YF/uP8whLpOO5XIqelCjBf3yDEgXoXEhC3tv2n2UqKAwQ56GLmPErODLFw9j3ydMA8Q3y/g4cvVSsSq/bnzYSpwTfKIpcVSSZx/N382ugutX9oUQJOvcO70KZ5JzZ8/sWsTEYjDCVobcMlaEwLjEBw/AJsETHmceHWwIKH2LcuGa0G77jG9gpof7ntZN8ZqXuQUl7c3wDw7vrio85MRXqMXXKaNINa9JY8w4TbjBWoV6cV8VYOeRyqUVgp4QQ1ZaFn9WNHZg7JYStbEt+4/EamrDK92/xXiQOfWbOG50SapDQ4Dohs9JDOCUUybYAcRzZtqwTxYExGL77gz5zPkRVukunBFUN5F0EZ4i58TvfFc5f01FGjpMy7729ETMuRHB1HURw8yyMo4yIylFGjZP2x4ONgxAb6gsi1wBzd/b8qrrf/vxYKRnEKUFEIHLNXATsuXrWCzEYjMjsqsFhC4fYTd6gZniai5Dsa9qqGtbVc6cE3iZmNFXd3HR8A4oSeNHmbk5k9yBGPNjq+RE4ZSON2D2I0QS2sS836ZQQuVAvzqtirByQIPK9gauz/A9TbblInNaptsQKYL+b4frKNr8V3e4cBvIEsPAKqInIv4+Z18Fan3tvn40NbRlClKCr8PdeuboQDzOrRwCn8Q2BK6lDjJOaa7Ad43ppfIPwCr3gxx+hr0hTh3FByThZl0R2Iq4IcA0uhTK4AdzzPOFoI6Q8xw4Ux0kY52C8a1N8g0nkGnK+UUS6/RXAOAnH9O9yFIHoqJufc9gpgcE4+1gmSsCKUBiJeIOacZYq6QC4ngcwoctwDczOhnEU1vmrWhV6luZEALsHMYLNiR7iG1DkxEJURrOuHxMPQr0458Q4r4qxcoCNT1g+jqdT7yQRkFphK9s0xEbd+AZZASxWrrJN5bUXCWBbIl0RIyE2ovVOCf7Or489qGeVDw8s/iuANZXM3sU6mniYTk1HGc/xDfrM+RAxGA77ZAccZabBXVB83986Mr+OUCfrcuTbvcNlxIwzp4QafRI3gH3HN8DZtAIPrwRwfoyBCv86Y1yo+AadyNV/hNX833L9UuNJD+7p91w7ELsbaiM5lHsH3md+15NFpwT/IjYGg+EXF3c2SgmYu3318/3NnvciCsbqIq0KbbrCPCFzAUzoMppySsgS2atYFXpWRQnZz5fBaHt1eVGMynMio60OQsO0D8f53MIzByMKIOk7CJGnXMiN9V0hqKzR3VUAK6cE/0R6FJVtDp0SMCsdBB4hKvyngQlgfZ8U7XJK0Fjj+45vWHRKqEMAK7IuhHBKBB4njVb5tftkN6gLim/3DinCK4q3agh11Dipqqt83t/GGArP94XercHuGtCe139Vuk7gEcL5Il+VXi92IJRTQn6cCjFWu3ScAHzV2656t3GGcbIozJQ/D+neEUCgymAwwhAwJ6OJtgLv+pGysL68p/6OwfCB7dQpwY/t/bp0SeL5juEWsC5HAXaj+dkc3+AMlwiiBBaBMPxXlzcvSmCnBIYPB6HTRoV6s6iFenFeFWPlAA8+sEYFJVqI7NoFpwSP52+iAhgcJ3w/SupzqT0LPAo287UI4CQrPYQoQfXJ0ASwu8rZXiBRgtYpwfv97VYoA/3Rd59EUm3RUSbs+AJLN3snlFB9Uifegvvbz3Xg281Xc9edb2aK/PTcJxfEFd4FR0UCWs0+9k4JSXxDgD6pixTpBBTr1K1Kh2qGYE4JQaOXFp0SQogzXPdJ/Na3e0f2tgDXhEif5RkMhiOAOHAvcYa5nbgiZHHzWIkSruxucpszvFfS9Ru2quaKUIYvAqbfaFUoxzc4dw/SzIcIjm9ghKsu9xDfEHmVOeNsiE77Dfbl2IVjcV4VYyURrHJ1oULPsw21hjitk88N7TgM4ZSgs9P2XtlWIIBrZqXDscB1IohTQkACWOeUANnK1m3Z6QQRHEnBT+Fnqk/6vL+LTgk1IkVAKCNFCX7bUuuU4N29w2DXX0PgEcS9I3DMDc5troQyMr4hgHhLJ67w6TihJ4CTn3drxjeEcEoo/Mz3OgjaLHt/w/nrjNOh4hsW1yAhxFt5p4Q2VjsWx3v83us6SAoRik4J/s7PYDDis6u+kTglXGGnBMYZq6RrQ+4w4wyRiRzf0Kr58P7pWIwScjYLWJ8fDcfy+51knGIwmsa2pzkRnqljrzJntBs7SV8+GTboHhR5BEmcV8VYSQStXBUhK9s0xGkNQiAl23znUpusrAPGDtSpWsXqwlAV/ovuHeFiMNJrqEEAg7jDd8WmEvzkfxammtqd4AhIpolvp4Tka7ECOAb3DttmiMopwSOZnpL5ziJFwghlTOIKnwSsLnJA1LgGfFDwLcwsEtl17y0X97eKHbA/HmwchHAIgDMWxRX+xVvzf8M+Shv3UGSfzPwb35NX0ZEUphYiRVoo8GAwGO5ECXOnBFU9ymCclczh7Mb1JleEMpqOImmwKpTFNW4/Lxx/7mjcEo6HE+l6AavjS7sca8Q4m3NiNmaTwXCJnQ2PogTP/GBV8J3FiAaymjpU5epCBrDv8zuMb0jIthhyqaFdvbfl1I24A44FTRikLYtV6d4JYA1JVcM6eU62BXBK0L6PcNdQVygjq9I9CzzgHuokbhnhSEu3fRLnG//jpN4q3xeZjmfJk/n1HCdQKOOzLfXiCt9xQQUiPYnBsBYlJOxxiD7pMkLKBnJ8mRWr0u2vYH0tTHzDYlxP2Lkbvm+vU4JYmDe9uncUxmp4nmenBAZjheyqC6IE2NS721cVoVf2WJTA8J+ffTpu1qqayVyGrwrnkyZFCWy37gyw7i51D0qEeue31+WzF4Ph1z2o6TkRC07872MzVgO7iSjhuFGhXtxuH3FeFWMlgRX+/qupdVnpfjc+tZWzLawAXrAl9x7foEiAnCiibp+UsQPd4E4JPtvRtcNAOFvyRQLYuy25w0iRHkaKeHZK0BGXdQQBsbh3hHGUyd/bIeIb9NXcdoC1LUQ3+I5v0IsrwgqOVOZ8nciBMOIt6BE6pwS/8Q1FRxkQuYjWxTco5614RK7KcaJ9mygLrleeBUe6+6KtAg8Gg0HDnIBRZAvi1vFQju47612xu9HjZmV4w1ZPbVpDRXKTGKBNNVeEMhq3qm6uL7PdejNz4i2ONGJEJtRrek6cV5h3ve6LMFYHOxzfwKIERjyAzXzIBfJOtsmNx3AVgnqnBHvCL2RWupZsC0hc1slKB8BmPlQNBCHTs8SGdwJ4sSq9Tsb3vALYs7hDLLp3SHLD4zWcpUiRImkY3L2jxmcZSrxVdEGpKwpwl3vfqRnf4FmUoBFX+CbS1zROCXWaYCOxyw0tOApDphecEmRVuv0FHGz1xN6mf9KoKIQLHWEFfTJEjEVdqHs73BgJgOWKy/ubwWC0A5cSAub60TA3nt44UiKFyxzdwAhled9wVSg8FwE2I62mY5wdq2qw/W+8H7O4plH3oKxTwpXdTTcnYzAI8Q2w/zTKRCw0NZawUI/R9Jw4nDTXl7PimhgR51UxVhJwk8AGYOiMb9+b8fo8Z3vCL1wMhtv3YX0NmV3kulntUEUdLnc+bAxGkaRS9uyidfENWsFPwMpV9VnWjxTxXeG/EEMRRcyNPQkNfTGE44TWhURavPusStfEwwj7+QaONJqEce9w5ULiYu6e1qxKxwcF38RnMcIqnDizWJVuf7x3PnwgvuLNV4RvKCeUkNFLnTMRObAQq+Y5ugGvIftZ+o6oYTAYYfDA/qZYX+vICrybCeGSI184uoFxxvOzmYBhNJ6f7SO+IVICpq1CvaJ7EOBmIta7sqf+hsHwARAcdQrCgSYjjViox2hyfbeWdOaThsR682iuOPcxeKZmRAPYAACEqPDPk4Zh7d3r2vWvhYrBKFS2hbDTVoSf21zqWZCM78KGfBACOP9hyopLa6eEMPe2JIgyjhNh4lkKZBtYvNdx78D7uxOWTA/h3uEy5iakUMbl+3DiDlQzBqOTKNXXAt/f/uMbik4JKobAFtgXi+sBP5EDeYSJsRI5AriNVvlap4SAc7eKwWhfOy7GqvmPb8h+lnB+5Rbl9xoYDIZ/wFz86Lkt+f1zt/sLTglX2CmBESw/u2FRQrpxzVvEjGaw68OqOnICpr2RRmanBHYQYvgEPO+iE0qTEQ5zoR6PJYxm0Ol0GhfrHQ7UcUO4iFYBrzgZ0QBJIv/ERiED2HuFoMZhoAbhF8yWXFdtGYDYKFal17LTDpbxXdiQjyG+oQZJNI9viMApwXN8Q7Gauq5QBtoSjubdKWHBKj9sBXDdjG9UPAcRHBV+FlrgUYfMh/E9nKCwON6HmG8KldQ1zo/XXhx7w9xbIQQehdiBFj7/q8ig+b/h23kth4fza/pkO8UdME6GExyl15C0Jd4fbWxLBoNBx+subsuvz92ZixJuHitChp0SGOGcEhqOb0gImE0mYBgNYXfDgygBVOLs+OFclHCvPxZjqK5JAOMRkl0s1mOcxVijNL6BhXqMBrGz3mys0f3Tsfx6wKIEBiNOAlhX2ebzEsxkvt3x1kGUMAkfORDOuthdLnVa4e/dKr9YyRyWAIbzw/OdLYGbVqV7bkdlpZ3/mSSJAkZhKHGH/fHmrhNd/04JmX/XjUZxIZSpQ1yGa0edU4Ln+7urG1/qxw4EcUoovI+Qc7cUyTjoTgdbvfB9UvhtS0Wmz/8Ne15tJICL41To6CU5RrawvF9FcYUTuKprmI+T0I6ANgplGAwGHY9f2JFfP3u7r56BpjNxK7GuZvKF4RvbGaeE4nrNJdgpgdE0sCL0mOMbWiUkgar0WcYxKOuSsL+5lrq5MBi+sNVL5sUGnRIGicAJXRkYjCaQOiU0IEqA55fDgRIlnNtmpwQGI0oCeDEDOERVev5ndTayQ1WtKtKyUF3vm7iUWenFDXlRn2zzbpVfrEr3TaQXiRX11bYtU8GRd1JB40ISuppafpb1CeDQsQNK3OGzAniRSJd22pbtANEsMcQFhbi/4VQL8TA1jgeiI5h2fJPI8Aku5M4HJE7rRNwgvv0DbxQP7G0K/+0oooq5qTt3h4KKFIlHvKXigtrHpIOQAoUAqeDI8zVk2xLFhL6FEQwGIwyunduU68Oj4UTcOhlJ22qYJ2GvwrdwkMFApwTog1gF3gS4wpzhk3xpQmAD67Z+InjA+4ZRD7D2fd0FFWn0rC7SaG+Dm5jhHVupU0KD8Q3slMBouVjvcDBWceSduVNRbOCZmhENgpFEhQ35EFXpxUV5HXIjpFX+QlV6TQLWLis9uyFf0yo/WIV/PuPbv1CmmJWu/mHbliiUWQscg5EKfjxeQ7EtVca3qN8nAzihhB0nF8UdAOtxMmA7Llale76/C04JKvbA/ngw5/h2nNA7Jfgn0rPRT22t7i8KM8MIPBbHyTa2ZXGcku3oXdwh8nFBLXzSk6KEabEd/V5DVghXV0zIYDDatydx7ZwiYZ673c/lZrM4ieG/P3ZS8XKTEQ5IwGDEHYPRlE31eDprRGAD9tdYFBVrfnYb8cRF5R707O2T9Gc4L7J7ECMEUHSEIqQmMEwjjXhOZDSH3fXmnBIwumF/qxftXgbfXYxoMK8A9m9LXqxKD56VXoPcCEa2iQjiG7r5a6ibSz23eA9RTZ2vEvTZjsVcaqwStO2T8DqIFUFxQtBoFM/khi53vq5TArzatyP3QgxF4Mx56JPq56J14i2Xzjj211CIHag5ToawiFfirSxxGaIdReur+4vvA/tG2HHS/xjXRIxVaPGWFMFF+gBaBrjmrChBCafCOS21tR0ZDIY9Hr+wLb9+9k6fK0IZQQHzXzbCoSlA/Gd2L4nBcA14ZsR9tZMGyMR7/TkB08b4sthFCSDSw/X5TRQlsFMCIwC2fMyJ7JTA8OmUMGxgTkxECecidnnjFScjGiABHJokChPfoHFKsGyHVNzhmR3REsDBict61W1QKVOHjHcl8AhBABfFHXXbQFq8h6hKL/xM9cmwlat1hTLwMO+boOkErwDWEMA17LRDCY6g7y1UpfsWwklHGXexA3Bv+3aT0ZPpfsdJWUmdJU5rCo7CRg7khZn483Cip3a2ZZFMD7MGEgVxx9mIb/D9LrJtKcWE/MTMYKwUHr+oRAnPgSiBK0IZkVSF+rCq3gywpmesBuDZosn87PunI/n1gF0SnOLq/obYXu9Kd4uX75/m4xt2Ob6BEXBOHDU4J6ZCPZ4TGc1hp8E5EUUJB1vrIlbwFgsjGqz3VAWw7+egYgaw76pVRWzkfwYboLbtkJJtnUgI4MDWxbWs8qUteQiyrRMBAZyvWq1bJZhVxod1SojBdaIeARykKl2S6fHE3CiSyEE0SwgRXOFn/uMb8hESSrxVc5wMQHzGEN+wON+076FVJ8wE+CXT5zFBdddAUZHpnufu4nzT1j7ZiyC+IbsOUv2xfe3IYDDs8cj5LTkPgfXpM7eUZTVXhDJWwaqanRIYbbWqvjeIvyq0jYBn3nmEQ1+OFXcTVwqINWIwfAPdgxqdEznSiOEBuyhKGDUX3xDznMiiBEY0AGIDNk9DWrQC4Fufe7iKpMoTp7JK0NYpAcm2KKzy/Va3dTTERj0COKQteUACeCFzvn6VYAiBR9FKO1Q8S951ot74sh5MKFO0yg+dOV9PKDN3lPE/Ti72Sf8Cj4Xc+VptGWachE8wL97yO98sWuXXF2+FwKK4w398gxRnOnbnCSZKyDkl1ItGqT1OtlncMQ0nOCqO1dCmdURwDAajfYB14sPntnKWqlwRyghuVd1gVehgPMs9IzEYbbOqRgLmIGICpq14InEPevbWibh1PJR7QTvr3ZRQYzDOmnvQADZuWajH8CbUmzbnHhTxnMgrTkY0CFFJrc0A9h7fkN9ErluZHiorXUcAqxxgEdgCuq1OCSKcBXRCZiBcVAm+89qB9woj3b0lRUee41myQpm6tuQhx8mFPhnSvaNmBfB6qPgGTVyPbyEcnGrRvUO0Lr5B55QQkgBuq8W7Tpipfh7u/gb3jjbuiRfjG/xHL+F5kwr/GgLX4O0YUHC04JRQM+KGwWC0E6+7oEgYAIwB57fjtT9lnG1srXuIb0jUgJsJ2cNgNGpVPWrSqjpeAqatQKeE5++eilfuD1KXBN+iYQYDAHEigNMxOyUw2o2dBoV6OCeyUwKDETMBLPO1C9m1vp0SCpV10xqEWyiyzUgAByUu61dThxPK5KvSvbYjOCVk/u3CAvqLH78gznnOMoIrzrZjiPgGHXFZO1IkAAFcFPz4rgBeqKSuSaTD+1nvhokUWXBK8B7f4DZ2IJx4K+8yFFooI+ftFm7MFIl03y4oekeZFjslBI1eUufCj1M5JbS0HXPrYr+Co+KcI9uRORoGY+XweEaUcGl3vZVxOIyzgabjG2DOHSeTHjslMJrEznrzTgkxEzBtxeXddbG/uSbHiV956b78GUcaMc60exBHGjE8ihL6o8lC8doqzIm8xcKIBtE4JczC25IrEtr+eCHa0kgAi8CVq7WcEqAdu+EzvkMIZRYy59u3EWcSygRty5pCHVmVHmKcXLDK918B7JoAhrZci8QpIWSfrD9OhhRvzf89DTDf5Ij0mnFB0RDpnucb0/3dRu4H2jJbxCjbMqhTgn/XLBcAAQCSI/N1ebhot7aKZBgMRj08dmE7HVeZfGGExFZvrVGnBHRJyEaBMhiN5mc3KkpgV5smxLpZtwQARxoxgsc3NChKGCbzLbsHMXwI9WZSmOCuP4+nU3GUzLMHEc+JvOJkRIMQBNGcuAxZ2ZYn8/Fa2la5GicBXNMqP1CfhM33fJ/wSwDD+UGIkK+kFq2DJC0zldSAaYB4liJxWcfoAO7tUOPkbCGaJVzMDeyd1bUlDyHegttoMeYmhHgrP77UcpTpdeKYu33PN91FwVEbCWC4BxYjB0KsH9Q1wFcl3hKtb0u1nvR3fhiTlUDUzXwTTQyGZ4ej4pxzNJhwZi6DsYKAjeiH9jfl90y+MKKwqm7IKQHJF5h/QwiNGauDnY1uI/EN8PxwOOD4hibxxMW5exCAxXqM0JFG/SbjG9ApoY0P04zWYK3bSUU2LsV690/VsWBNt5PcLzEi3itjrBwePtgSv/vtVwMRlwGr0jVW2nD6tpHpOgLYv512nqSqa5V/fmtdXNldD++U4FsoUyDbFLHRvsVYsR1D3N/Fyvi6FZebgdw7iu8jhHtHUbxVt0++/w2XxAN7arPZqyV4cZwMIIQrzjl1povNUE4JBYFHCKv8bDtCZXcb93GVVf7833Wcmlz0yVSY2cI5B/Ys8q4TfvtkcR0EG75ob9m2PgnvAN+Hb8FRUeR662QkLu3EW2HAYDCawxc/cUFc3dsQn/PQPjczIzgB05RTwtymun1rL0a7sLvejFMCCBJQ1Ly32b61bxvwxCXllIBgsR4juHvQaLrg1uwKg2S+5Ugjhi8HoWOnooRRGt3gez+KgniDJRgrB9iEfF0muzFkfILfqnT3VvkwcUJeenAC2Luddv4a6lrlP3iwKX7fOx8SvgGTRlbg4Z8AVoSAOq8iOOpWpYeAbEedVX7IqvSaxOWl3Q3xyLkt4RtFxwf/8Q2L0Sx13Tve+fCB8A0lrgjtKFNwYqkZO/CWq3vi0fPh527fVvkLc7d0lOm0syo9eHzDfJxEgUR7BR6FthRhyHQ4982jYSs3DPE+kpEoa2ruCeHegZ/l7ZOhuLTTvnZkMBj18bYH9+X/DEYsBEwTGI5nqdCYwWgSOw2QL9nohv3NHkduNYQL2+viwnZP3OmPZfX4QcQ55YzVcA+CmWs4mYlNx4I6eJaG4wI4voHhY168dTJy6iB0L5kTYx+nedXJWHksVADXdCmoTbY5sMqHRaJ/p4RFAlhZvIuwTgktJDa0Tglez6/Ohtcgc6kjVtfRhDKBYwdq2pJfO7clvvypyyK8U0KA6v5MQ7Y141uJfPI/806mLzglqAx3W2yvrwWxb5TuPIU+2Q3sctTGPrlApHuOuCn2SRW75N9hoKm29O86ofolbPaOpjNxbjvuB1HTe4B2w7aUAteAQpnbJyNxkZ0SGAwGgxE6vqEhq+rUpjqxEGYwmhYluI5vuN8SAqbteOKicksA0XMbn9UYZwPg0on70/0GYo1GiSABwPMio2nsrLsX67EogcFoCYoZ3/7jG9xb5b/nkQMZhxHeKt+vwGORbDsbxOU0AAGszouVq/WFMiEAxNpiVbpfi/WsBXSbq6mLFf5T70Q6xB5kzj9tczsuxjf4F8Ll55w2jpPyfWT+7ZtMX7i3p8q+v22AsT1f3R/CKn8uamxrXFDqOpFpS99zd7Zf3jweisu76628t4sOHr4djrJCPOiX14+gLdkpgcFgMBhn0ymBbaoZvsmX/miaWzO7ImDAqprRHCDKCNbkb7yyy83MCAZ4vm4y1giFetDXfTtQM1Y3vuHEaXxDO+bEuK+OwfAAtKcPWZWO2bldR1b57752TkRBAHuPb3BrlR8LcembSMdT4SVg32wj2ZbtD+HiG0SBABatA9zfi44yIhgB3Fb3Dr1TQghHGZEXyrSvKbVOCUGdeVoacxNbfIOMXWphOwJAKIWbGKHiG9Ct4fm7p+Ihz+JU1+9jnDol+BVuZcdJECTAmUHgcXQ08HoNDAaDwWAAkHzpN0C+AHDtwjbVjKYBDnudZG0HFc57m24oCXZK8IMnLu2I//XLXs9jBSMKByGoLD9twCkhFer1uuwIwvDnIDR0L0o42FoXMaOFta8MRrMVwCFsyfG8AHgmbCPZViQNw2WlF6Mw2tiWhax0z0IZ6P/Zz7OtlavFqtUw8Q154lQRwO1rS/k+RMhxsiMr0XPijm5bnXkKMTfexVuL7jxtFB0V3Xmke0cn4PnbOk4mMRTYJ0LEN+Tmm5aKZIxRGJ7fy/paR1pOfuL6kXjzA+2tYlJtGU4ogw4iT986EU9e3uENKQaDwWAEw1YSqwBESXG/xa1TQksXYIxWre9QZNNEfva5yAmYsyIsaePeAeOMOgg16JSw2Ua7YEZrRQnHjcyJcXsR8B3GWHkoW/BwVYK4oMttyHfb2Y7FR+QgufM5ss1/nrMLwH7Aop12mCrBeXxDp52VlkUCOMD9nXdKaGefLFb4+64ABgECOK+0XdxRjKGIwymhpX1SuvMUXY78CmVmBfeONm7Q4NiOc46KHBBB55s2tqNWlBCgT6yvdSW58PK9QZr72va2lH3S8/nXu10xms7E3f5YXNrh6AYGg8FghAOSuFkBQRMEDGdnM9puVX0QOQHDYDDcII1vaCDWaJg6JbRzT4LRLuyuNzEnjuRXFiUwGJFD2oeFrEpPvuI+toocOCNOCSHiGzJrEhU7IFqHtW530U474OfZVtKySBCFcZ0o5M63NApjIVLEcwVwV8ZHzK+hrcRlsR3nkSIBxVst7pN5oUxocUc7BYXwPqDZcM7xHRe0ON+0UwQ3j8IItwYSSe7l/cFY9LqdVlurZmNFfDscYbXoaDIVp+OJtAdlMBgMBiMUet1ummvdb4CAGYzVfMtVoQwf2EkIGLBeX7X8bAaD4dZBCGJgmnMP4mdARvuEesPJVJwka8XYhXp8hzFWHsX4BlUl2Alnld/SDXmV753/me+KS50teRurqdE2OKQFdK5ytaV9smhLHix2oBApcjacEjy3Y7cg3prNK7zbBCVSyf9MEpchyXTphCJah668v8O5HMk5L+ty1FKhzIJVfoD4huz4cjiYpA9mrXTnWXA5Et6dEsCub7ulbahbB4WIb4B2hBgM2OjCzXMGg8FgMIJXhY7dEzDslMAIkp/tiEyE9eLhgJ0SGIxVwtZ6k/ENiVCvxQJ/xurGN9xPRHpQZIHinVgR99UxGN42w/PEhv8qwfmGvKpKbx+xod6DrirdMwGc+XdbK4B1FtD+4xvyZFsbCWAUpCyIEkRgoUy3/RX+MgbD6/nV2TDCAYi/NsaeKsv//M98E5dF947WjpNQSV0Qb4Gjhvc+mc7d7by3i3NOCCI9O77cPB6Ky7vttMuHZ76FudvzNayvdcT9/ljstLy6P3t/h2pHcEqAitSsbTaDwWAwGEHzs5u0qm6jSpkhVt0pAQQJsGKEvYG2CpsZDAYN+Kzr0nEFwU4JjCBCveFkwVW3nnPQunceiQpedTJWHsWqUd/27sUNeVXd39YN5PzPfAs8JAGc+TAhyqGNz9bQltlqS98EsM4poY2kJfQHaUs+jagqvaVRGNpx0ieRnnzFeBYZg9HChoR2LEazhCDTs2tduD/aOOeAPX2+Lf078wDmLkftFBQuWuX7r0rPji9tFiUUhTJT2ZadAE4JI7Hd8ur+nFAmQHyDdEqYKqeEtrclg8FgMNqP7QYJGHRK4KpQhl+rajcCGyRg9rd6rX0WYzAYNADhCrjbHzlvOp4TGT6xm+w1AAeELh11AK6ZbYhuALSQrmMwGrCIDWjvvkAAt7SSWm4gA8EWlCTKuzW01Sof2xIhSUvP7yNbTS3FHS1sR7iPda4TPh9Wiw4DrY0U6SyOkz6JdG3MzRmJZgGEjLmRAo9WtiWIt0RQ9w44X+py1FJB4aJVvv/4hmyfvHU8Epd31SZD6+fuIPENHbk52/bIgWxbhnAwg+xudEpgUQKDwWAwQuP8dnMEzLwqtKULWUZLq0IVceKuKjR+AobBYLjBxR01J97hOZHRcqyvdWTBFbol1AUUqLRlTmRRAmPlIastcySR/yrBHAHcYoIIsOg64ZO4zJ+/rW250CeDkETzampJAHfPQAVwUpXum7hc7JOidVgQdwSupgahTBudEnT3NiCoeGt6Vvqkf0Fhdu6WIrg2NmQU8Q3q/JCT/MLdvrh2bku0EdroJeGfTAd1/HbL7WuzY2UIBzPplDBBpwR+XGYwGAxGWFxokIDhqlBGEKcER1EkaVXoZvwEDIPBcC3UGy/ESLuaEzcgm5HBaBidTiedF124YaFQj50SGIw22u0G2ETOW+XPCf42AYX12dgBIIF9k22LVemi/VnpntuxSFwq0rLT/grg5GdeYwcKVemwvm1jW2rJtoDirdY6JRTjG5Je6VN0pKrS2y/e0rl3hBTKAIHZ1gqz7JwjIwcCqMNh7fDx147FI+e30k2G1s/dwv+9BWT60XCS5my2Fbk+GcDBDPokbArAuMJ21gwGg8EIjYvJ2ujOSQOihLGabzfamHvJaB3QzctVFMncqrqdzw8MBoMOqAKHfS3YQzgauI01GibuQZs8JzJ8OwiNWJTAYKwU9Ha74ayLwQK621arfCCJAhKXsGbIkm1tzfjWVwCLcH2yzU4JhQpggM/7W+eU0Ma1LRBE4wjcO/IxN+JMiDsAYWNu1Nh5Jtw7RLhxEux0z7d0Myxvle9/3sSq9NsnQ/HwQTtdEmIRbwGZDmh75IDqk+GEmSiU2VrvtnIdyWAwGIyzhSadEgZcFcpoKfkCuN8iq2oGg+HuWRHvedfz4iB5CGWnBIZvsd6Jk/iG9kQatXAbmsFontjohqxKbzsBnM0q914BnCfb2irwyG7Gx0EAt1PcsRDfkFal+xbKzMUd8F0b23JBvBUkvkGRU62u7pfzjVgUJXi8hmLMTVudUPQEcIhxcpY+DOOGcdsQOr4BIgdGk6noj6attsrvLYyTYWIHAPstt7CFPjmGnJ5Q7djt5jYIGAwGg8EIiQuJUwJsNmfXvy7AVaGMIKIE6Ug1c2ZVfW673WtfBoNhG+EwamROZPcghi/sNhDfcK4FBVPt3fljMBqzyg8R3zAniVTkQPsIIj1J5FcUAKfKOyW0U+BRzJ2XdtoBnRLunY5aobKr7pTg7/wgJgFxDACvo4VdcoFMV3baIqhQpo3jJIpkUnFFUt3v270juwEk3Tva15TB55vs3A2584PxtBW5bcvWQSEcJ6RTwnQm23Gr114SeHGcnAWJHQC0dc5GbPW6UqQSSnDUS9oRnBIYDAaDwQiNvc01uUcAyzXccHafn93CBwJG67CbCD7BkWqYrcSpG9/QckEug8GwE+vdjT8wDgABAABJREFUdhxrBPs6AI7wY7TNQWgwnorTpP+2YW+Sd1oYKw9tVXqAakskiWTkQBtZS22esmdbcvmgjgT0TD60t7EpdTEYYdw71Pc3j0fi8m78KrtlJBG+n04owREQVG12Sij2Se/uHXOhTFsFR3jNc1vysOKO+TjZabULSqhqapy7ZXTD9nor23Fe4R9uDQREOjglnI6mYqfFJLBW5OrddaJ7JkQJUC2A9oUyvsHz+fFebrNIhsFgMBhnBzAvnd92b1UNz1ZIDHNVKMPXuh+ePVxYVYOwAStL20DAMBiM+GONUKjHogSGL+ysu3FKuJMIdKDAow39N/4rZDA8k21YuRqKJIKq6jZWrWot3j3HDmTbEdRh0I74wNMmhG7HucU7EJYzcet4KC7vbojWZ6WHqErvdtLYCCDc2rAwqEYAh3DvyI+TLby102vOWeUHFXfkr6vVc3ew+AYhXrw3EA/stXOMXHCU8SwmnIsSEqeEFtvly8iBBaGM38bE+Wav5dViUC2AlQIq9ijMdcADPYPBYDAYZ7UqFNZfiLY+pzLaBXhe23VUFXo4GMt14lrmmAwGY7XmROfxDegelMQiMhhNYzcTa2QL2OP94U/ekN8/fLAp2gC+wxgrj6JVfpjK1XwFcFurLRfz0v0Sl9l2hIf1tlauqizl8AQwNOW9/lheT1sf8uABFdsyyL0tCXT1/Y2jlos7ooi5UdcwmEzFRgs3zmATJjvnBBN3oHtIiyNFFudu/22J4q1ff+VQvO3qnmgr4Hl7LpQJFN8AooTxVGy3WJTQSxwfECHmnJOhOn8bnWSK1QJYKRDCvQPBBA2DwWAwYiNgXFaFok01zLJtLOZgrHZVKEaZgEtCqLUig8EIPCeeuI00wnmRI40YvrDrQKj3k8/cFs/e7ouNtY74yrc+INqA9u3oMxhNW+V7rqQWyfnmWenttCWPIr4h047wsI6LlDNhAe35GqALwjX87GfviDc/sNvah7xcBXCIqvRMpMjN46G40tJq6ixpGYokyo6Tt45H4lJi19Zm14kw0SzKEWguggtH+LkSHIWKb4DNW7iGl+6diicu7Yi2ItsnleOE3/OvdztiNJ1Kp4TtFsc3wAYrOOJkY6R898m2jotl8Q3QnqFGqK0W90cGg8FgnE2rapdVoVmb6jY+DzBanp9dU5RwL7kX2h5bxmAw7OfE+4NxrjCgLjDSaJOdEhie58Rjyznxudt98eOfuS2//8q3PNCaYkieuRkrj0Wr/BDxDYWs9JY+EBbbcuo9vmHejpClg4uUM1GV7j3juyvJts/cOBFf+64HxZmoAA4cOXBDxmC0tE9GEd+QdUIZios77VholffJEPENZ0QEJ+cbEXic7Ij+cCJG01la8dNGZN15lFV+J4hTwngya7VTAqjSoe1AmAAPliHa8u0P7cv/245ifEOoZfGD++2wPmQwGAzGKlWFOhQlYEUoky+MEARMzfiG5++epk4JDAZjtbCz3pXP3yAiuHc6dkLEAh+UzostdGZltBM76/ZCPRAy/Ptfe1Xumbzz4X3xrmsHoi3gO4yx8tARwP4rV+ck0eFgIvY2186EBTTAZ1ti5ADGN7RalBCYAFYZ31NJCrQ1uiGGqnQk+4BMf/ZWX1w72BJnJubG8zXg/Q0LNbBUO7/da/2cMw0VOZCeX90jZ2PuDhM7cH8wkSr6too7Fh1l/Lcj2gXDFcDGQtszcvOxA6Gvqr0P5ieB4xu+5bc+KT7nDAg8GAwGg3E20Eh8A2Zn93jBwvCH3RoEDOKzd/ril164J7/n9RqDsXqA50PXYj0olMAdJhbrMXxhN+FcTsfT3B7nMrxyfyD+37/0knQLgQJIcEloE1iUwFh5aCMHvFeuzkkisCA739LYgXxWuoLf+IZ5JfXzd/vi4YPNM0G2KccJ/3basEkBk2KbK1dzZFuAe1vakk+m4plbJ/JaHr+4Lc5EnwwQc4N2/eA4AS4JviuQmxLKhHDvwE8SxB0gQDor0Uu+dQHQdpBl2naLd5i7we0hVJ9EQQd8pm23Dt7Z6KYV/iFjB85CBV0/icII1Y5sZc1gMBiMmHB+RwmyT0bwjF6vwhyBFaFsU81oU3wD9Nv/8NHX5PPfu68diDde2XV8hQwGow3AQsTbjsR6KNTrtLxYgtEubK130/0O3EsqA3AMP/Kpm+K7fv558erhQGz3uuJrP+chuX/RJrSzzJDBaDRyIJTFu7qGu/1xeyuAC7nUwjMJjFXpUD1weDoRj53fFifHR6KdQpn5v///7N0FmFTl98Dxs93L0t0dSgiCooAYYAAGIqJiYGGgf7vBwMDu/oGomIQKiC2KSEp3d8Oy3fN/zrs7w+zubE7tzHw/zzPPzM7cuXPvu3fivu95z7F4KZ12UkauGazy5QhRb89KN2nJ8ywmc0eDahE+O+DmqMyNNwaAc/LyZNOhNGldO1p8lbcDZeyDt46kZUlNHy2DEVrsmPRC+YZgzZSQ49OBW0q3X8tQeOuYtN8Ov5rh74XgLX+hnUD6WamBCd4IOAIAoKqJDA3J/52RnSuJaTlSLz7EZbWzSVMNrwQlVLJ8w6+bDptBSC3bMLBtLRdvHQBfYc2UkOiioAT7kkacx8NTgoOCzPeZliE5kpolcREljwlqVs6Ji3abyXqqQ91YuaB97VKfU1X57kgT4NIBohN/e2fman7ntQ70JWb4bqaEoimglSfbUgeItCa1prBpWC3CZ9NpFx9s885gelJGtkT5+Axgb89Kt5bB0IEVXx5wKxYo443sHQV15zccSpGOdeP84jvHW5kSrJl5DqVkSa1Y3wxKKJ5RxvOzqcMLMiX4+udk4ZIDnv++sfLlz0j7TlZrByvlGypPO4GsAR7eKt8AAEBVU70gW4KrSjho1jTly5MQ4HtiCs6drOcfFbHtSJos3JlftmFIxzoS6QfnDwAqx9XlG7IoaQQvaVgtv9Tz7uMZpS63eFeiCUiIDQ+R4V3qyxVd6vtkQILilycCXrG61F6ZuZo/SKQd2dr5aq0n4+szgFWQpweA83QAONcWfe0ftdK9MQBsHWzz3XY8UVJEvFe+wQQl5L+3fXng0pqFxMobM4CtAR4pmbk+m02meKCM5wfSTaaEgtuHU7NM7TF/+e4O9krwlu9/TupvjhMlBzwfKGPly5+RjjMlUL7BFaUwaEcAAAoPwLgqVfWJARjf/w0G3xEdXlCKpAJBCRnZufL31qPy9Yp95u/ujeKlVS3KNgCBzFq+wXWBegXZgwjUg4c1SigISkgsOShB+49X7E02t89tU0va140VX+a7vfqAGwaIvDZz1cyMF9l4KE0aVYv0n1rpHh641AEiTUGos9J9OWJaf//kVoEBYE0d5KsRd46zd3ghU0Jw/ux+DZSpWfCD2T8CZTw/2BYWHCSp2bmmHIYvDwIXDd7y9Oe9faYEzSrTuUG8iLimLq3ns3d4uXxDQVBCg/gI8ZtMCV4s3+DL39tWZEpwYVsWypTgwhUDAOCjXD0r1JopIYLa2fCg+Mj83/za36Tnc6VlONVJCXO3HJVFu47bjte6seFyXtvaHtteAFX8OzE9pyDjY5BLAvUiCNSDhzUuyJSwKzGjxGNZsyhoaWjN2OrrAQnKt0ebAHfMAPZKqvz8GcCr96dI14Y6QOTLben9dtQo6igf/hGhg23ePybzB9vq+Ghq96oyK12PSX391EzNlOC7A27FSop4uDSL/TEZGRrss6VZqkKgjMmUYMnPkqDt2aR6lKSnpohPtmOhY9I77+/8LCi++962DaTblW/w1tvLLzIlhIdI4vH8gQI9PH01yLSqtKUGy5TVWQ0AQKBw9axQMiXAWwOJek6fkZMnB1IypUF8/mCMI79sPGwr11A7JlzObFFdOtWL47chAFsGVQ1Y0smJzmZMzqKkEbykfnyE6YdLyco1AXuOyrov35NkrjUgwR8CZ3x/DwA3zEoP9nSK9+D8FO/HM7Kltg8PAhedAeyNVPn68tqJ7cuDRNqOloIa6SfaUjx/TPr4jPSqMCtdB/P1FZMycyTahwfcqsas9PzsHTp71ue/cwre23neKN9QMJi/9UiatKwVbY5R331vn/jbK5lQCmaV+fpgekxYkUwJXjgkLmxfW/q1rCm+TtvSWgqDsgOuyTphghII7gAAwDYrNNFVQQkMwMALtB/BWj97Tyn1s3WgcVnBIMygDnXktt5NTJY/glUBWCcuxUWEuCxYL5NMCfDisVwvLsKWEaEo60Rm1cVku/V9vt2LCvhJ+Qb98MnOy5O0rDyfHgTW8RlvzgDW/6WOr+kAcKQPDxJZT7KsbZlf49uzjWmtoeVspGlVCjryxjGp/zcduPT1uvNFg7e8MZiun5PH03MkKtx339tFAzy8UppFM9rkWszMeF8uz1K8pIj3Pid9uR2tn/M6U0nbM7/0kuejEk5tkiA1fLjETeGsE3l2393e3iLfL9+gv9HpfAYAwC5TQlqObQKDMzK1hiipquEFJ4ISMktcZuW+ZFOeVctgntIongxkAEop4eCCoARboB4n8fC8Rgn534u7E4sHJWw8lGr67KpFhkqzGlHiD3y7Zx9ww8CGdwbbgiQrJ7/uvE/PprZLp23a0RsDwMHBPj8ArLP5NS7BWsLBG+m0rTOAfX2wTQcNrT8svfHetg6m64+HKB8O8Cg2AFxQBsDTg+lJfpEp4UR5Fq8FweXmp7fz5c9JU+amaEkR8dbnpO+2o/WY0BNvnZXujXJB/iTaPuuE+c6hMZ0t36CflwQlAAAgEh8Ras7BtM8lOTPH6SYhUwK8pVG1iBIHX6y/o5fsSjS3uzeu5vHgcwC+FqznfFACJY3gTY0LgvUcZUpYvjfZXJ9cP85vAvR8d/QTcBHt6NTxoUKp8j0+czXYnFTqy/pyXZhiqfK90Bmvg0TJGpTgw+2oIkNDzKCh9wbb8tsv1ocH0lVUoVTa3pm1ah1M8eUU744zyni6fEOwyYLiywPpxT4nvRAoo4E6WpolPSfXt49JRwGFHg+UKciUEOnbwVsqpmAA2BvfN/5YckDp5EMG0ytPf8dpUKFm0fTVMjMAALiS/q5IiDyRLcFVAzC+3AcF386UcDg1SzJy8n8729NBmf3JWeY3oL+kqgZQtTMl6GRRxXcivJkpYV9SpuTknahVm5KZI5sPp5rbWsLIX/h+L2oVsGHLdvn2h59l7YYtsu/AIUlMSpaI8HBp0bSRXHBOHxk2ZICEhdLUVZW1o1MHNDTayFt1qa2z+305ArjwYJt3BoC1LVOycn1+4FIHiDRtsaaz9s4AcP7rxUb4QTtagxK80I72M1AiCgI9/CNVvncyyvhFSRG7AI/8jBOef2/nZ0rI9auSItqk3mhLf8goc6LsQK5XygX5Ew300YF0nd2vxydBCc5ndTHlGzgm4UfoOwDgjIToUDmani2JZgDGuRS+pKqGt8RGhEpCZKgkZuTIvuOZ0rxmdKHHl+w6bq471Yv1+fN/AD5SvqEgUM9aphPw9LEcXTCxcn9Sli1IYdW+ZNNP17BahNSODfebf4rv96JWAUtXrJUvp/8oDerVlhbNGkuNavFy9HiSLF+1Xlau3Si//vWvfPDSWAkL8/1auf5IBzG0+z1/Jpa3BtvyZwD7fFryoCDJKojm8kY72s/wj/ThGcAqOjxYUrNyvFe+oWAGsJ4s+jI9gU0vqO9tEe8ck1q6QfnyQF9+UMKJv72RdcJfsneE2rWlt4LgsnMtBeUbfPdzMjQ42FYGQ3ljhr/19SP9YHaZLVMC5RtcUwojK7cgKMFV/6HAY0qb5RLcAf9D3wEA5wdg0k1ggrNIVQ1vZ0tIzEgxWRHsgxL0d/Tq/Sm20g0AUHb5BheWNPKD/h34nqCgIBOIsPFQqvle1Nva57hkd36Qnr9lDfLt0aYq4sxe3eTMXu9K4wb1Ct1/+Gii3HTPWFmyfI1888MvMuLSC7y2jahY2QFvzErXTAl148J9vx2zvdeOyvqKvj7DPz86znvlG0KtmRJ8fABYB10LZ0rw9hb5T/kGb81Kr+bjqfILf994JwguPyjBtzMlaCCAtqN2pmokuzcG03XA1NcDjuy/czQoQYNmOAV3si1NgEeO+e5mhr+TpWY0UwLBHfAz9B0AcMms0DQXpqomihJe0DAhUtYcSJE9RepnL9+bZAZi6sVFSKOCMg8AUNp34vGMbKczFdpKGvGdCC9pVK0gKCExXaRpgszbdlQOp2abSUQn1Y/zq/8L/Y4uoMEIRQMSVK0aCXLDiEvM7UX/rXTFS8FN9EvLOuPRO7PSg8xsal8eIFI6mKGDXd4cANbZv/nbEuwXs1aVN9JpazkTf6ilZYI7CtrRGwPpVr4+k9o6kK6fj14bTC/4YI4vqKPqq3SQ0vp9k//e9nw76slWWpZvf+foMakZcWzvby8EB3RuECfXnNJA/EFMeGj+7H5Nle/pH0F+RjsxrL9FaEvnAqhsmRL8IPAHsKLvAIAztLyjy1NV+/i5KnyTNeBgz/HMQv1Q1tINPRpX84vgbwDuoxMSNVOh9q3tSiwc4FTZkka+3g8O39W4oGSDZko4lJIlf205Zv4e2LaWT/ffOsK7zM3CQvNndFK6oWrTLzBrRJw3ZqVb05L7evkG3X6dfWs9mfDG6YN1Vryviy4YIFLemAGsUenXdm/o8yeB+qWdXTCb2lvlG/K3w7e/bjVLgX42alt6bTC94HPS1zMl6EB6Ro599g5PZ5wINv9L/az09ePSWm/N1pZemMndqlaM+M3s/mxryQHf/tz3Nn2P6W8hbUZvBcL5y29zkynBYjFBr0AgoO8AQFnqxkWYa51d7ky2BO1jsKWqZlYovKB+XIQ5f9NStpo5Vq3dnyJH0rLNoKC/zQoF4Hp6vm39rFi8K9GpdZ34TuTcE97RoFr+9+Kx9ByZunK/6QtpVSvaL78Pfbs3uoo7npwin3z1nbndp9cp3t4clHM2tTdmpVvTksdGhPr8oIZtgKjgx4Gn2dcY9/1MCTleC5TR/10Lu7p+Pj2bOjRY0k2tdO9k72iSECndGvl2LUQ9HqLtZ6V74XPSKs7HgxIKZe/wQqCM/YCzr0eAm+8c23e354O3/Il+55hMCQQluOQ3nWa/IrjDNaVmOCYRKOg7AFAetWLCpWXNaNNv9c/2/Bl0laHB5hY/OSeAb9IMHXViw21BNvqb77fNR8zfpzdN4LgEUC49GieY63UHUiQ5M78fvTLIHgRviwwNkdoF34v7kjNNgMygDnV8fsKoI77ds1/F7Ni9Vz749Fux5FnkyLFEWb56vaSlZ8iwwQPkwnP7lHs9F187xuH9O/fsk0b160pycrJUVWlpaeKLIkJEjiSlSPXQHMnKypasTItH2zk7M8tch1lyqvT/t0zZWZKckW32ISUtRyyWPK/sj8Z4WF/XV4/J4NwsSUrPMvuRk5MjGRkZ4suHhjdFhgbJocRkkwY6L8/zx+SwDvk/kH39mNR2PHgsWUJywvKPyfR0SU72XBBQRnr+52R6aor4suC8E+/t1NRMrxyTVqkpKT59TIYHWeRoUqokR+RJbm5uwTHpH9lyPC4nU1IysiQtXCQv13vHpJWvHpMqyJInx1PSTeS3t9vRl+lMFc1ylJmdI1mZ3v8N5CvHZFyc/82i8Fee6DtoULc2n0PwG77yOewJp9SLkC1H0mTZnuPSvW64CS6tKGupSJWZliJZftjh7QsC/biuGxMiB1JEth1KksNJqXI0LdtMhjipVijfXz4q0I9peF5skEiDuDDZm5wtC7Yekl6NYiu1nsyCSZY55tzzxHckxzQ8qW50iBws6Pbu3ThWQnL0eHSuNElRekx7u9+AoAQXOnI0Ub6f80eh+6667EK5Y9QICfbx+vb+Lio0WNIK6v+amasePiGzpqWNDfft40RTgadn29Wc98J5bac6UZIQ6dtlMJSZlV5wTJrsHd7eIB9/f6fn5JlU2rSjc8ektqMte4eHG7NRfJjc2r22+MXxaPu+0SwU3tkOf0iHHlX0mPT2BvmwsGBNlW8xGSdC6JR2ui3JlOCazyh9X2tAIWUw4I/oOwBQWY3jw6V+bJjsS8mWpfvSpE/TincsW8vy6e8Wf5yBB99QLzZMVh5Il53Hs+R4Zv4gYK9GMZQUAVAhnetGy97k47Jif5qc2jCmUuePet6pKN8Ab2pSLVxWHUw3349d6/t+BuuSEJQgInc9+rxs3bm7Qg337CNj5KT2bQrd1+3kDrJq7nQzW2/fwcPy218L5L1PvpZ5C/+T918aJw3r1ynXumd88kapsyC8HclSHr6wjfaqxaRLbnCo2e7Q0FSJjIz06D5kBOkM4CNSOyFW4uKixFeFReZKZu5hiYmNlTTJkpDgJI8fC5d3jfOLY7KWJVwyc5PNdoeEHJeY6CiJi6tctGegi4tKEgmNkKjwEAkN9X40oFVV2Y7yio9KkbyQcLPdwcHHJTrK88dkvPi+mpYwycxLMe0YlRksoSHpXjgW9puyJkVf19eOyWrRmZIbFGS2OyjoqMTERPv0d6g3xeeESp6kSnBomOkErCrHQlXZjoqIjkyTvOAgU37AF7e/KgkJOiA6kTPOvLerxgk5/1P4Ut+BZmPimIW/4ZjO1691sHyxbJ+sOJAuZ7etK5FhFZuYkWLJtJVuoE29L1D/By0lXGRLkgmwUdWjwqR3q7p+EUAf6AL1mIZ3nBIdI3N3JEtyVp7sywiWdnUq1ldpsVgkK3e/uV2jWpzEOSivzTENT+geGyvxsdHStHqURFXwt50vIShBa1ftPyDbd+6pUMNlZOSnkXYkJCTElFm49oohpjPh/x6fIM+9/qG89fyjzv/H4BYx9jW+LTojy/P1h5WjLz1fYq1FmJmTV1Bz3ttb5Nu10q0pFfPbksasdFsWvL91pn8Qc6ldc0wKM1edPR5tWVC89Nb2h9qxekweS8+2y5TA52RlaSCCZkrIzRMJCaMdnaEzDtOzc8k44QIa2JGekyshdEyjCqHvAEBV0KZ2jNSOCZdDqVmyaNdx6dOiRoWeryWSVLgfnBPAd+kxrP2heh6izm5dk4AEAJU6b+zasJr8s/2YLN55vMJBCTl52st5om8E8JbgoKAKH7++yLdHQF3k249fddu6zz6zl0RHRco/i5ZJdna2hIWFue214NzAxpE0+4ENz7KmFYqN8O0IKB04tw645Wn5Bm9vkA+LDg82qaOyc/NMOm3a0pm2DJG07FyxSJjXUuX7A61VmpqVY24TdFR5mrFDU7vn6kmPeW9756D0hw7ImPBg2XPcPnjL21vku0xnYF6e5Gr5Bj4onWzLYDmank07uoB2CCVn5hDggSqFvgMAVYH2IZ3ZorpMW3VAFuxIlNOaJpjfIOWVVVACLYLBF3iRnnc0iI+QHccypH5chHSs5/8DMQDco3vjajJ/+zHZfCRNjqRmSc2Y8HI/VydXFp04CsB9fL9H2gcGaavFx0lObq4cT0719uaglMG2wjNXPfsFFBcRIld1ayChwcH+MwBsORFsgYrTY0FnMmtbasQm6esqL8oaKMOgpcsyypi2dG51AT3Ipic5OpPaBMF5K1OCH3RA2med0Lh2vnIqTzuxNRBOg2VCaEin6Ps7IztP/OAtViXaUj8nCZRBoKDvAEBFdKoXJwmRoSab3fK9yRV6biaZElBFdG9UTWpEhckF7WvThwig0mpEh0mrWvkl/xbvOl657EEhQXwOAR5Ad5mb7dq7X/YfPCyxMdFSvRr1lKp0WvLsE+UbgrzQAaXp9/yBdZCIWauuGwQ2g0TMXHXumMymHZ0+HiMKl2+gpIjzx6Q3PycbV48UfwmCOxEoQ6hMZeWnTc3P4MH3jfMBHhlacoDgDqdZU2cS4IFAQd8BgIrQ32y9miWY2wt3JJq+rIpmStABGMCbTm4QL3f1aSZNqkfxjwDglFOb5H8nLtuTVCj7QVkycyx+U+YU8AW801zg86mz5PCRY8Xu37Zzjzz09KvmxGDQef0kJMS3U/MHSqYE/Rpi/NfZQSIt3kDJAZcEy2hQAum0nX9/W4MSGCSqfDuG2QUlkHXC+c/JrDyvlW947JyW0r9VTfGrTAkWC9/dTg7+amCHzhAgM49ztHM/3WRKoJPfWdbUmRyT8Cf0HQBwpa4N4s1vj0OpWbLtaHqFMyUwAAMA8BeaKaFmdJgpmbp8T1IlMiUwVAp4QqhHXsXPTf76O5nw1v+kbctm0rhhPdMxvu/AIVm7cavk5eXJKZ07yN03X+3tzUS5BzY8X77Bn0SHBeenyo8Oox2dbcuCYBlmrrqifAO10l11PCpTdoBZ6c5nSvBSEFxF6s36RrkgLTtAindn6AC6HotmMJ2fQM5nSiAowSUiwwoyJfC7HH6EvgMArhQZFiJdGsTLol3HZeHORGlRMz91dVmyCmaFMgADAPAXWka6Z9MEmb3ukPlO7NGkWrnKMWh5VUWgHuAZBCW4wJ03XiV/L/hP1m7YLPMXL5eMzCypFh8rp3XvLOeffYbJkhAc7B8DAP5KBzZy8iwmhR0z/F0zSJRnUkC76B8UoHTGQ36NbzrknaE/KvW9re9xZls6l3HiRKYELd/g1L8loFmDt/TYpB0rz3rCqGn5TEYZGtMp2imdkZ3LDH8XzO4nw5FrxIbnn6qSdQL+hL4DAO5IV61BCRsOpsqxtGypHh1W5nO01JRiAAYA4E80UO/3TUfkSFq2bD6cVq5y2YnpOeY6Iars708AziMowQUuOrevucB3adRcVFiwpJoU73R+OjsD+GBKFgNELhog0hRSOrjBYLpzA0SmHamV7rLgLf2c5Jh0PnhL25CBdOe+u61ZJ3h/u+azUtMcMgDsHOuMQ97bzouNyC99xzEJf0LfAQBXqx0bLi1rRsuWI2myaFeiDGhbu9wDMNWi6BYGAPgPDbbr1ihe5m9PlH93HCtXUIIG9KnqBCUAHsE8ZqAAqfJdO9jGAJFrBjayTaYEzTrBtHSn2jGvoB2ZSe1k8FZ+tgQNTqAtnS8ZxGxq13zn6DHJ56Rryg5o2kICjpxsx4Lva763nRdDpgQAAMqlV9MEc/3f7iQTRF7eAZgaDMAAAPwwg5CelW89ki4HkjPLXP5YekFQQjSBeoAnEJQAFElNziCRawbbzKAlA+lOCQvNn+Gf35a8VSvdjiFBkm1rR4I7nMHnpGuDtzgmXRMFbyvfwOek04PpWjKIgCMn29GaKYHvG5eUujFtSUAhAAClalUr2gQYaNarFfuSKzAAQ6pqAIB/0YwH7evGmtsLdyaW/zuRQD3AI+i+BYrOXGUGsNODbenZBany6UR2QaYEyg64YoAozyIm6wSDRM4hE4rrM/MwK90F5Vly8sx7nO8c54SHMpjuCjHWkgPEwDlNs/Mo4jsAACg7q92pTaqZ24vLGIDRzFgavKConw0A8OcMQiv2Jpv+t5JYLBZJJCgB8CiCEoACkWEh5sQsPwU0zVJZkaHBkpGjGSeoOe+KwTadAWxhlqBTdNBXBzTSc3IZtHRShGbv4HPSJQNtBG+5LngrvaBTlaAj51B2wDXiCoIS4LqghCCCXAEAKFOXhvEmXfWBlCxJysgps3RDbHiI+S0NAIC/aZIQKbViwkyG0u3H0ktcTrNma8ZI/f6sFkX5BsAT+PUJFAjX2ZakeHfJrHT9Mqe+t4sG27IZbHNdrfQ8ZqW7oB31c5JMKK75vqFckKve27km8EhniMG5tlQEdzgnNDi/Ha3f36i8BtUi5NKT6tKEAACUM5ivXlyEub2zlAEYSjcAAPydBrY3qxFtbu8ox3difGSo7VwegHvxTgPsBoBtg0QMbDg12KYlB6iV7qqgBAbbXHVcZmTnMtjmgmPSBB1ZKDvg7OBvfmkWBoCdPyaDzOAvA+muKSui+A3kGmnZJaeIRPlooFHnBvE0FwAA5dS0epS5Lm1WKLWzAQCBoGlCZJmBeonp+ZmFKGcEeA5BCYD9IFFO/gx/anw7145a21sDPKin7Hz5Bi0pwmCb88KCgwva0gUrC/BjUt/b+h7nuHQ2U0JBRhmC4JwOlDEBR7Sj02ILyg7w3nYNDSoEAADwpGY1osqeFVpQvoEBGABAIATq7UvKNOWRHTla8J1YndINgMcwPAMUTafNzFWn6GCGDg5pZzwDG67JlMBgm2sG0zkmXXdMKt7fLsiUoJl5tO4AnGrLdIK3XCI2PL9+IsFbrpGWRVACAADwrCYFAzAHU7JMnWxHjhXMCq0RTe1sAID/qhYVJgmRoWIRkd2JjoP1EgvKN1SPCvPw1gGBi6AEoEB4qF35BgaJXJAqnxn+LsmUQDu67P1t2pLZ1M4dk8H5qfL1I1LTaqOSx6MJSijIlMAvMafwfeM6cQWZEsgW5bzLTqorl5xUzwVrAgAAKL+Y8BCpExtearpqyjcAAAItWG/HsYzSvxOjCUoAPIWucKBorXTSaTstLJQZ/i4buKSciEsH0wk4crIdTXAH2TucPh5DgkyktikpQnCHk23J942rxEYUZErgmHTayQ3ipU3tGOdXBAAAUMl01dsdBCXkWSy2WaGUbwAABE5QQgmBerbyDQQlAJ5CUAJgN0hk0mmbmavMAHZ65irptF0y2KYYIHJNW2oWFGYAO//eJrjDeZplQo9FE+DB940Ljslc3tsumlmnOCYBAAB8PyjB0QBMUkaO5Fm0j0EkPpLyDQAA/9a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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EEG-like signal contains:\n", + " - Theta (6 Hz): associated with memory, drowsiness\n", + " - Alpha (10 Hz): associated with relaxed wakefulness\n", + " - Beta (20 Hz): associated with active thinking\n", + " - Gamma (40 Hz): associated with cognitive processing\n", + " - 1/f noise: characteristic background activity\n" + ] + } + ], + "source": [ + "# Visualization 11: Applying FFT to EEG-like signal\n", + "# Analyze frequency content of realistic neural oscillations\n", + "\n", + "duration = 5.0 # 5 seconds of \"EEG\"\n", + "fs = 256 # Common EEG sampling rate\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create a realistic EEG-like signal\n", + "np.random.seed(42) # For reproducibility\n", + "\n", + "# Neural oscillations at different bands\n", + "alpha = generate_sine_wave(t, frequency=10, amplitude=2.0) # Alpha rhythm (10 Hz)\n", + "beta = generate_sine_wave(t, frequency=20, amplitude=0.8) # Beta rhythm (20 Hz) \n", + "theta = generate_sine_wave(t, frequency=6, amplitude=1.2) # Theta rhythm (6 Hz)\n", + "gamma = generate_sine_wave(t, frequency=40, amplitude=0.4) # Gamma rhythm (40 Hz)\n", + "\n", + "# Add 1/f noise (characteristic of EEG)\n", + "noise = np.random.randn(len(t)) * 0.5\n", + "# Simple 1/f filtering via cumulative sum\n", + "noise_1f = np.cumsum(noise) * 0.01\n", + "\n", + "# Combine all components\n", + "eeg_signal = alpha + beta + theta + gamma + noise_1f\n", + "\n", + "# Compute spectrum\n", + "frequencies, amplitude_spectrum = compute_amplitude_spectrum(eeg_signal, fs)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Time domain - full signal\n", + "axes[0, 0].plot(t, eeg_signal, color=COLORS[\"signal_1\"], linewidth=0.5)\n", + "axes[0, 0].set_xlabel(\"Time (s)\")\n", + "axes[0, 0].set_ylabel(\"Amplitude (μV)\")\n", + "axes[0, 0].set_title(\"Simulated EEG Signal\")\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Time domain - zoomed\n", + "axes[0, 1].plot(t, eeg_signal, color=COLORS[\"signal_1\"], linewidth=1)\n", + "axes[0, 1].set_xlabel(\"Time (s)\")\n", + "axes[0, 1].set_ylabel(\"Amplitude (μV)\")\n", + "axes[0, 1].set_title(\"Zoomed View (1 second)\")\n", + "axes[0, 1].set_xlim(0, 1)\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Frequency domain - linear\n", + "axes[1, 0].plot(frequencies, amplitude_spectrum, color=COLORS[\"signal_2\"], linewidth=1)\n", + "axes[1, 0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1, 0].set_ylabel(\"Amplitude\")\n", + "axes[1, 0].set_title(\"Amplitude Spectrum\")\n", + "axes[1, 0].set_xlim(0, 60)\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Mark frequency bands\n", + "bands = {\n", + " \"Theta\\n(4-8 Hz)\": (4, 8, COLORS[\"signal_3\"]),\n", + " \"Alpha\\n(8-13 Hz)\": (8, 13, COLORS[\"signal_1\"]),\n", + " \"Beta\\n(13-30 Hz)\": (13, 30, COLORS[\"signal_2\"]),\n", + " \"Gamma\\n(30-50 Hz)\": (30, 50, COLORS[\"signal_4\"]),\n", + "}\n", + "\n", + "for band_name, (f_low, f_high, color) in bands.items():\n", + " axes[1, 0].axvspan(f_low, f_high, alpha=0.2, color=color, label=band_name)\n", + "\n", + "axes[1, 0].legend(loc=\"upper right\", fontsize=9)\n", + "\n", + "# Frequency domain - log scale (shows 1/f better)\n", + "axes[1, 1].semilogy(frequencies[1:], amplitude_spectrum[1:], color=COLORS[\"signal_2\"], linewidth=1)\n", + "axes[1, 1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1, 1].set_ylabel(\"Amplitude (log)\")\n", + "axes[1, 1].set_title(\"Amplitude Spectrum (log scale)\")\n", + "axes[1, 1].set_xlim(1, 60)\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "# Add 1/f reference line\n", + "f_ref = np.array([1, 60])\n", + "axes[1, 1].plot(f_ref, 0.5/f_ref, 'k--', alpha=0.5, label=\"1/f reference\")\n", + "axes[1, 1].legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"EEG-like signal contains:\")\n", + "print(\" - Theta (6 Hz): associated with memory, drowsiness\")\n", + "print(\" - Alpha (10 Hz): associated with relaxed wakefulness\")\n", + "print(\" - Beta (20 Hz): associated with active thinking\")\n", + "print(\" - Gamma (40 Hz): associated with cognitive processing\")\n", + "print(\" - 1/f noise: characteristic background activity\")" + ] + }, + { + "cell_type": "markdown", + "id": "4b901b0e", + "metadata": {}, + "source": [ + "---\n", + "## 11. Hands-On Exercises\n", + "\n", + "### 🎯 Exercise 1: Mystery Signal Analysis 🟢\n", + "\n", + "**Difficulty:** Beginner\n", + "\n", + "A signal is provided below. Use the FFT to identify its component frequencies.\n", + "\n", + "**Your task:**\n", + "1. Compute the amplitude spectrum using `compute_amplitude_spectrum()`\n", + "2. Plot the spectrum and identify the peak frequencies\n", + "3. List all component frequencies in the signal" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "8c63cd44", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 1: Mystery signal - what frequencies are present?\n", + "np.random.seed(123)\n", + "fs_ex1 = 500\n", + "duration_ex1 = 3.0\n", + "t_ex1 = generate_time_vector(duration=duration_ex1, fs=fs_ex1)\n", + "\n", + "# Mystery signal (don't peek at the code!)\n", + "mystery_signal = (\n", + " generate_sine_wave(5, t_ex1, 1.0) +\n", + " generate_sine_wave(11, t_ex1, 0.6) +\n", + " generate_sine_wave(23, t_ex1, 0.4)\n", + ")\n", + "\n", + "# Plot the mystery signal\n", + "plt.figure(figsize=(12, 3))\n", + "plt.plot(t_ex1, mystery_signal, color=COLORS[\"signal_1\"], linewidth=0.8)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Amplitude\")\n", + "plt.title(\"Mystery Signal — What frequencies does it contain?\")\n", + "plt.xlim(0, 1)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n", + "# TODO: Use compute_amplitude_spectrum to find the component frequencies\n", + "# freqs, amps = compute_amplitude_spectrum(mystery_signal, fs_ex1)\n", + "# Then plot and identify the peaks!" + ] + }, + { + "cell_type": "markdown", + "id": "aa746076", + "metadata": {}, + "source": [ + "
\n", + "👉 Click here to see the answer\n", + "\n", + "**Answer**:\n", + "\n", + "```python\n", + "freqs, amps = compute_amplitude_spectrum(mystery_signal, fs_ex1)\n", + "\n", + "plt.figure(figsize=(10, 4))\n", + "plt.plot(freqs, amps, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "plt.xlabel(\"Frequency (Hz)\")\n", + "plt.ylabel(\"Amplitude\")\n", + "plt.title(\"Mystery Signal — Amplitude Spectrum\")\n", + "plt.xlim(0, 40)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n", + "# Find peaks\n", + "peak_threshold = 0.2\n", + "peak_freqs = freqs[amps > peak_threshold]\n", + "print(f\"Component frequencies: {peak_freqs}\")\n", + "```\n", + "\n", + "**Explanation**:\n", + "\n", + "The mystery signal contains three frequencies: **5 Hz**, **11 Hz**, and **23 Hz**.\n", + "\n", + "The amplitude spectrum clearly shows three peaks at these frequencies, with decreasing amplitudes (1.0, 0.6, 0.4). This demonstrates how the FFT can decompose a complex-looking time-domain signal into its constituent oscillations.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "bc38c484", + "metadata": {}, + "source": [ + "### 🎯 Exercise 2: Amplitude vs Phase 🟡\n", + "\n", + "**Difficulty:** Intermediate\n", + "\n", + "Two signals are provided that look different in the time domain. Analyze them to determine how they differ.\n", + "\n", + "**Your task:**\n", + "1. Compute amplitude spectra for both signals\n", + "2. Compute phase spectra for both signals\n", + "3. Identify what makes these signals look different despite having similar frequency content" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "a1ade1aa", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 2: Two signals that look different - how do they differ?\n", + "fs_ex2 = 500\n", + "duration_ex2 = 2.0\n", + "t_ex2 = generate_time_vector(duration=duration_ex2, fs=fs_ex2)\n", + "\n", + "# Signal X\n", + "signal_X = (\n", + " generate_sine_wave(8, t_ex2, 1.0, phase=0) +\n", + " generate_sine_wave(15, t_ex2, 0.5, phase=0)\n", + ")\n", + "\n", + "# Signal Y \n", + "signal_Y = (\n", + " generate_sine_wave(8, t_ex2, 1.0, phase=np.pi/3) +\n", + " generate_sine_wave(15, t_ex2, 0.5, phase=np.pi)\n", + ")\n", + "\n", + "# Plot both signals\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 5), sharex=True)\n", + "axes[0].plot(t_ex2, signal_X, color=COLORS[\"signal_1\"], linewidth=1.5, label=\"Signal X\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Signal X\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t_ex2, signal_Y, color=COLORS[\"signal_2\"], linewidth=1.5, label=\"Signal Y\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Signal Y\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "for ax in axes:\n", + " ax.set_xlim(0, 0.5)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# TODO: Compare amplitude and phase spectra of both signals\n", + "# How do they differ? Same frequencies? Same amplitudes? Different phases?" + ] + }, + { + "cell_type": "markdown", + "id": "d4e7d829", + "metadata": {}, + "source": [ + "
\n", + "👉 Click here to see the answer\n", + "\n", + "**Answer**:\n", + "\n", + "```python\n", + "# Compute amplitude spectra\n", + "freqs_X, amp_X = compute_amplitude_spectrum(signal_X, fs_ex2)\n", + "freqs_Y, amp_Y = compute_amplitude_spectrum(signal_Y, fs_ex2)\n", + "\n", + "# Compute phase spectra\n", + "_, phase_X = compute_phase_spectrum(signal_X, fs_ex2)\n", + "_, phase_Y = compute_phase_spectrum(signal_Y, fs_ex2)\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 6))\n", + "\n", + "# Amplitude spectra\n", + "axes[0, 0].plot(freqs_X, amp_X, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "axes[0, 0].set_title(\"Amplitude Spectrum X\")\n", + "axes[0, 0].set_xlim(0, 25)\n", + "axes[0, 1].plot(freqs_Y, amp_Y, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[0, 1].set_title(\"Amplitude Spectrum Y\")\n", + "axes[0, 1].set_xlim(0, 25)\n", + "\n", + "# Phase at key frequencies\n", + "idx_8 = np.argmin(np.abs(freqs_X - 8))\n", + "idx_15 = np.argmin(np.abs(freqs_X - 15))\n", + "print(f\"At 8 Hz: Phase X = {phase_X[idx_8]:.2f} rad, Phase Y = {phase_Y[idx_8]:.2f} rad\")\n", + "print(f\"At 15 Hz: Phase X = {phase_X[idx_15]:.2f} rad, Phase Y = {phase_Y[idx_15]:.2f} rad\")\n", + "```\n", + "\n", + "**Explanation**:\n", + "\n", + "Both signals have **identical amplitude spectra** — they contain the same frequencies (8 Hz and 15 Hz) with the same amplitudes (1.0 and 0.5).\n", + "\n", + "The difference is in their **phases**:\n", + "- Signal X: both components start at phase 0\n", + "- Signal Y: 8 Hz component has phase π/3, 15 Hz component has phase π\n", + "\n", + "This confirms that signals can look completely different in time domain while having identical frequency content — the phase information is what distinguishes them!\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "a2016b8c", + "metadata": {}, + "source": [ + "### 🎯 Exercise 3: Frequency Resolution 🟡\n", + "\n", + "**Difficulty:** Intermediate\n", + "\n", + "Two close frequencies (10 Hz and 11 Hz) are mixed. Determine the minimum signal duration needed to resolve them as separate peaks.\n", + "\n", + "**Your task:**\n", + "1. Examine the spectra at different durations\n", + "2. Apply the formula Δf = 1/T to predict when frequencies will be resolved\n", + "3. What is the minimum duration to clearly separate 10 Hz from 11 Hz?" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "1bf88aa0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 3: Frequency resolution challenge\n", + "# Two close frequencies: 10 Hz and 11 Hz\n", + "# What duration is needed to see them as separate peaks?\n", + "\n", + "fs_ex3 = 500\n", + "freq_A, freq_B = 10, 11 # Hz - only 1 Hz apart\n", + "\n", + "# Try different durations\n", + "test_durations = [0.5, 1.0, 2.0]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "for ax, dur in zip(axes, test_durations):\n", + " t_test = generate_time_vector(duration=dur, fs=fs_ex3)\n", + " signal_test = (\n", + " generate_sine_wave(freq_A, t_test, 1.0) +\n", + " generate_sine_wave(freq_B, t_test, 1.0)\n", + " )\n", + " freqs_test, amps_test = compute_amplitude_spectrum(signal_test, fs_ex3)\n", + " delta_f = compute_frequency_resolution(fs_ex3, len(t_test))\n", + " \n", + " ax.plot(freqs_test, amps_test, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + " ax.set_xlabel(\"Frequency (Hz)\")\n", + " ax.set_ylabel(\"Amplitude\")\n", + " ax.set_title(f\"Duration = {dur}s\\nΔf = {delta_f:.2f} Hz\")\n", + " ax.set_xlim(5, 16)\n", + " ax.axvline(freq_A, color=\"gray\", linestyle=\"--\", alpha=0.5)\n", + " ax.axvline(freq_B, color=\"gray\", linestyle=\"--\", alpha=0.5)\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# TODO: What is the minimum duration to resolve 10 Hz and 11 Hz as separate peaks?\n", + "# Hint: What frequency resolution is needed? Δf = 1/T" + ] + }, + { + "cell_type": "markdown", + "id": "cfd5b01d", + "metadata": {}, + "source": [ + "
\n", + "👉 Click here to see the answer\n", + "\n", + "**Answer**:\n", + "\n", + "To resolve two frequencies separated by 1 Hz, we need:\n", + "$$\\Delta f \\leq 1 \\text{ Hz} \\Rightarrow T \\geq 1 \\text{ second}$$\n", + "\n", + "**Explanation**:\n", + "\n", + "- At **0.5 seconds**: Δf = 2 Hz — the peaks merge into one broad peak (cannot resolve)\n", + "- At **1.0 second**: Δf = 1 Hz — peaks just barely separated (borderline resolution)\n", + "- At **2.0 seconds**: Δf = 0.5 Hz — peaks clearly separated (good resolution)\n", + "\n", + "The rule of thumb: **to resolve frequencies Δf Hz apart, you need at least 1/Δf seconds of data**.\n", + "\n", + "This has practical implications for EEG:\n", + "- To distinguish alpha sub-bands (8-10 Hz vs 10-12 Hz), you need at least 0.5 seconds\n", + "- To separate 10 Hz from 10.5 Hz, you need at least 2 seconds\n", + "- Short epochs sacrifice frequency resolution for temporal precision\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "e8b45173", + "metadata": {}, + "source": [ + "---\n", + "## Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **The Fourier transform decomposes signals into constituent oscillations** — any signal can be represented as a sum of sine waves\n", + "\n", + "2. **FFT is the efficient algorithm** to compute the Discrete Fourier Transform in $O(N \\log N)$ time\n", + "\n", + "3. **Amplitude spectrum** shows the strength of each frequency component: $|X[k]| = \\sqrt{a^2 + b^2}$\n", + "\n", + "4. **Phase spectrum** shows the timing offset of each component: $\\phi = \\text{atan2}(b, a)$\n", + "\n", + "5. **Frequency resolution depends on signal duration**: $\\Delta f = 1/T$ — longer signals give finer resolution\n", + "\n", + "6. **For real signals, the spectrum is symmetric** — we typically show only positive frequencies (one-sided spectrum)\n", + "\n", + "7. **Windowing reduces spectral leakage** from finite-length signals\n", + "\n", + "### Functions Created\n", + "\n", + "| Function | Description |\n", + "|----------|-------------|\n", + "| `compute_fft(signal, fs)` | Compute full FFT with frequency axis |\n", + "| `compute_amplitude_spectrum(signal, fs)` | One-sided normalized amplitude spectrum |\n", + "| `compute_phase_spectrum(signal, fs)` | One-sided phase spectrum |\n", + "| `compute_frequency_resolution(fs, n_samples)` | Calculate Δf |\n", + "\n", + "These functions are available in `src/spectral.py` for future notebooks." + ] + }, + { + "cell_type": "markdown", + "id": "d8711403", + "metadata": {}, + "source": [ + "## External Resources\n", + "\n", + "### 🎥 Video Summary\n", + "\n", + "- **[Frequency Domain Analysis - Video Overview](https://notebooklm.google.com/notebook/6ae43fc0-9141-4764-8774-aac72f1ec3c9?artifactId=2ea6754c-0c43-49b5-a1f0-155dd090861b)** — AI-generated video summary of this notebook's key concepts\n", + "\n", + "### 📝 Practice & Review\n", + "\n", + "- **[Quiz: Test Your Understanding](https://notebooklm.google.com/notebook/6ae43fc0-9141-4764-8774-aac72f1ec3c9?artifactId=7b1928a7-e87a-42d9-aabe-7a70923a95a2)** — Interactive quiz on Fourier Transform and spectral analysis\n", + "- **[Flashcards: Key Terms](https://notebooklm.google.com/notebook/6ae43fc0-9141-4764-8774-aac72f1ec3c9?artifactId=3d3ab500-7856-48ab-8d70-50a2d4bc4751)** — Review flashcards for spaced repetition learning\n", + "\n", + "### 🎥 Video Tutorials\n", + "\n", + "- **[Veritasium: The Remarkable Story Behind The Most Important Algorithm Of All Time](https://www.youtube.com/watch?v=nmgFG7PUHfo)** (20 min) — Fascinating history and intuition behind the FFT algorithm\n", + "- **[Steve Brunton: The Fast Fourier Transform (FFT)](https://www.youtube.com/watch?v=E8HeD-MUrjY)** (12 min) — Clear mathematical explanation with visual examples\n", + "\n", + "### 📖 Further Reading\n", + "\n", + "- **[Wikipedia: Fast Fourier Transform](https://en.wikipedia.org/wiki/Fast_Fourier_transform)** — Algorithm details and computational complexity\n", + "- **[BetterExplained: An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/)** — Intuitive interactive explanations\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "0c0bde96", + "metadata": {}, + "source": [ + "---\n", + "## Discussion Questions\n", + "\n", + "1. **You record 1 second of EEG data. Can you distinguish between 10 Hz and 10.5 Hz oscillations? What about with 3 seconds of data?**\n", + "\n", + "2. **Two EEG channels show identical amplitude spectra but different phase spectra. What might this indicate about the relationship between these brain regions?**\n", + "\n", + "3. **Why do you think most EEG connectivity metrics (coherence, PLV, etc.) operate in the frequency domain rather than the time domain?**\n", + "\n", + "4. **A colleague shows you an amplitude spectrum with a very sharp, narrow peak. What does this tell you about the underlying signal?**\n", + "\n", + "5. **In hyperscanning, we analyze two brains simultaneously. How might phase relationships between two participants' EEG signals at the same frequency be meaningful?**" + ] + }, + { + "cell_type": "markdown", + "id": "54369669", + "metadata": {}, + "source": [ + "---\n", + "## Next Steps\n", + "\n", + "In the next notebook (**A03: Power Spectrum and Frequency Bands**), we will:\n", + "- Learn about power spectral density (PSD)\n", + "- Explore Welch's method for robust spectral estimation\n", + "- Define and extract EEG frequency bands (delta, theta, alpha, beta, gamma)\n", + "- Understand the relationship between amplitude and power" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-BuiFQKUd-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A02_frequency_domain_quick.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A02_frequency_domain_quick.ipynb new file mode 100644 index 0000000..d6f8061 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A02_frequency_domain_quick.ipynb @@ -0,0 +1,911 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9464ea56", + "metadata": {}, + "source": [ + "# A02: Frequency Domain Analysis (Quick Version)\n", + "\n", + "**Duration**: ~30 minutes \n", + "**Prerequisites**: A01 (Signals and Sampling), Basic Python, NumPy fundamentals\n", + "\n", + "> 💡 **Quick Version**: This notebook imports pre-built functions from `src/spectral.py` instead of defining them inline. For the full tutorial with step-by-step function implementations, see [A02_frequency_domain.ipynb](A02_frequency_domain.ipynb).\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "- Understand the Fourier Transform as a tool for decomposing signals into frequency components\n", + "- Compute and interpret amplitude and phase spectra\n", + "- Apply frequency resolution concepts to determine spectral precision\n", + "- Analyze EEG-like signals in the frequency domain\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "6f1fe818", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [The Fourier Transform Concept](#section-2-the-fourier-transform-concept)\n", + "3. [Computing the FFT](#section-3-computing-the-fft)\n", + "4. [Amplitude Spectrum](#section-4-amplitude-spectrum)\n", + "5. [Phase Spectrum](#section-5-phase-spectrum)\n", + "6. [Frequency Resolution](#section-6-frequency-resolution)\n", + "7. [Practical Example: EEG-like Signal](#section-7-practical-example-eeg-like-signal)\n", + "8. [Exercises](#section-8-hands-on-exercises)\n", + "9. [Summary](#summary)\n", + "10. [External Resources](#external-resources)\n", + "11. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "62613e40", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parents[2]\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from src.colors import COLORS\n", + "from src.plotting import configure_plots\n", + "from src.signals import generate_time_vector, generate_sine_wave\n", + "from src.spectral import (\n", + " compute_fft,\n", + " compute_amplitude_spectrum,\n", + " compute_phase_spectrum,\n", + " compute_frequency_resolution,\n", + ")\n", + "\n", + "# Apply plot configuration\n", + "configure_plots()" + ] + }, + { + "cell_type": "markdown", + "id": "86be18ee", + "metadata": {}, + "source": [ + "## Section 1: Introduction\n", + "\n", + "In the previous notebook, we learned that signals are continuous phenomena sampled at discrete time points. We represented signals in the **time domain** — amplitude as a function of time.\n", + "\n", + "But there's another way to represent signals: the **frequency domain**. Instead of asking \"what is the amplitude at each moment?\", we ask \"what frequencies are present, and how strong is each one?\"\n", + "\n", + "This perspective is transformative for EEG analysis. Neural oscillations are fundamentally rhythmic, and the frequency domain reveals their structure directly. Alpha waves at 10 Hz, beta rhythms at 20 Hz, gamma bursts at 40 Hz — all become visible as peaks in the frequency spectrum.\n", + "\n", + "The mathematical tool that converts between time and frequency domains is the **Fourier Transform**. In this notebook, we'll learn how to compute it efficiently using the Fast Fourier Transform (FFT) algorithm." + ] + }, + { + "cell_type": "markdown", + "id": "4516e00d", + "metadata": {}, + "source": [ + "## Section 2: The Fourier Transform Concept\n", + "\n", + "The Fourier Transform is based on a remarkable mathematical fact: **any signal can be decomposed into a sum of sine waves** at different frequencies, amplitudes, and phases.\n", + "\n", + "Mathematically, the continuous Fourier Transform is:\n", + "\n", + "$$X(f) = \\int_{-\\infty}^{\\infty} x(t) \\, e^{-i 2\\pi f t} \\, dt$$\n", + "\n", + "For discrete signals (which is what we have after sampling), we use the **Discrete Fourier Transform (DFT)**:\n", + "\n", + "$$X[k] = \\sum_{n=0}^{N-1} x[n] \\, e^{-i 2\\pi k n / N}$$\n", + "\n", + "The output $X[k]$ is a complex number for each frequency bin $k$:\n", + "- The **magnitude** $|X[k]|$ tells us the amplitude at that frequency\n", + "- The **angle** $\\angle X[k]$ tells us the phase (timing offset)\n", + "\n", + "The **Fast Fourier Transform (FFT)** is an algorithm that computes the DFT in $O(N \\log N)$ time instead of $O(N^2)$, making it practical for large signals." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "fa9c8d78", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The composite signal contains: 5 Hz, 12 Hz, and 25 Hz\n", + "The Fourier Transform will recover these frequencies from the sum!\n" + ] + } + ], + "source": [ + "# Visualization 1: Decomposing a signal into frequency components\n", + "\n", + "duration = 1.0\n", + "fs = 500\n", + "t = generate_time_vector(duration, fs)\n", + "\n", + "# Create a composite signal from three frequencies\n", + "freq_1, amp_1 = 5, 1.0\n", + "freq_2, amp_2 = 12, 0.6\n", + "freq_3, amp_3 = 25, 0.3\n", + "\n", + "component_1 = generate_sine_wave(t, freq_1, amp_1)\n", + "component_2 = generate_sine_wave(t, freq_2, amp_2)\n", + "component_3 = generate_sine_wave(t, freq_3, amp_3)\n", + "composite = component_1 + component_2 + component_3\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(4, 1, figsize=(12, 10), sharex=True)\n", + "\n", + "axes[0].plot(t, component_1, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "axes[0].set_ylabel(f\"{freq_1} Hz\")\n", + "axes[0].set_title(\"Individual Frequency Components\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t, component_2, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_ylabel(f\"{freq_2} Hz\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "axes[2].plot(t, component_3, color=COLORS[\"signal_3\"], linewidth=1.5)\n", + "axes[2].set_ylabel(f\"{freq_3} Hz\")\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "axes[3].plot(t, composite, color=COLORS[\"signal_4\"], linewidth=1.5)\n", + "axes[3].set_ylabel(\"Sum\")\n", + "axes[3].set_xlabel(\"Time (s)\")\n", + "axes[3].set_title(\"Composite Signal (Sum of Components)\")\n", + "axes[3].grid(True, alpha=0.3)\n", + "\n", + "plt.xlim(0, 0.5)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"The composite signal contains: {freq_1} Hz, {freq_2} Hz, and {freq_3} Hz\")\n", + "print(\"The Fourier Transform will recover these frequencies from the sum!\")" + ] + }, + { + "cell_type": "markdown", + "id": "063484e3", + "metadata": {}, + "source": [ + "## Section 3: Computing the FFT\n", + "\n", + "The `compute_fft` function from `src/spectral.py` computes the full FFT and returns both the frequency axis and the complex FFT values.\n", + "\n", + "The frequency axis spans from $-f_s/2$ to $+f_s/2$ (the Nyquist range). For real-valued signals like EEG, the spectrum is symmetric, so we typically only look at positive frequencies." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8c97dc84", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Notice: For real signals, the spectrum is symmetric around 0 Hz\n", + "We typically only show positive frequencies (one-sided spectrum)\n" + ] + } + ], + "source": [ + "# Visualization 2: Computing the FFT\n", + "\n", + "# Compute FFT of our composite signal\n", + "frequencies, fft_values = compute_fft(composite, fs)\n", + "\n", + "# The FFT output is complex - magnitude and phase\n", + "magnitude = np.abs(fft_values)\n", + "phase = np.angle(fft_values)\n", + "\n", + "# Plot full spectrum (including negative frequencies)\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6))\n", + "\n", + "axes[0].plot(frequencies, magnitude, color=COLORS[\"signal_1\"], linewidth=1)\n", + "axes[0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0].set_ylabel(\"Magnitude\")\n", + "axes[0].set_title(\"FFT Magnitude (Full Spectrum)\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "axes[0].set_xlim(-60, 60)\n", + "\n", + "axes[1].plot(frequencies, phase, color=COLORS[\"signal_2\"], linewidth=1)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"Phase (radians)\")\n", + "axes[1].set_title(\"FFT Phase (Full Spectrum)\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "axes[1].set_xlim(-60, 60)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Notice: For real signals, the spectrum is symmetric around 0 Hz\")\n", + "print(\"We typically only show positive frequencies (one-sided spectrum)\")" + ] + }, + { + "cell_type": "markdown", + "id": "5cc8de31", + "metadata": {}, + "source": [ + "## Section 4: Amplitude Spectrum\n", + "\n", + "The **amplitude spectrum** shows the strength of each frequency component. It's computed from the magnitude of the FFT, properly scaled to recover the original amplitudes.\n", + "\n", + "The `compute_amplitude_spectrum` function returns only positive frequencies (one-sided spectrum) with proper amplitude scaling." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b9e45a0c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Original amplitudes: 1.0, 0.6, 0.3\n", + "The spectrum correctly shows peaks at 5, 12, and 25 Hz\n" + ] + } + ], + "source": [ + "# Visualization 3: Amplitude Spectrum\n", + "\n", + "frequencies_pos, amplitude = compute_amplitude_spectrum(composite, fs)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Time domain\n", + "axes[0].plot(t, composite, color=COLORS[\"signal_1\"], linewidth=1)\n", + "axes[0].set_xlabel(\"Time (s)\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Time Domain\")\n", + "axes[0].set_xlim(0, 0.5)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Frequency domain\n", + "axes[1].plot(frequencies_pos, amplitude, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Amplitude Spectrum (One-Sided)\")\n", + "axes[1].set_xlim(0, 40)\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Mark the peaks\n", + "for freq, amp, color in [(freq_1, amp_1, COLORS[\"signal_1\"]), \n", + " (freq_2, amp_2, COLORS[\"signal_2\"]),\n", + " (freq_3, amp_3, COLORS[\"signal_3\"])]:\n", + " axes[1].axvline(freq, color=color, linestyle=\"--\", alpha=0.5)\n", + " axes[1].annotate(f\"{freq} Hz\\n(amp={amp})\", xy=(freq, amp), \n", + " xytext=(freq+2, amp), fontsize=9)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Original amplitudes: {amp_1}, {amp_2}, {amp_3}\")\n", + "print(f\"The spectrum correctly shows peaks at {freq_1}, {freq_2}, and {freq_3} Hz\")" + ] + }, + { + "cell_type": "markdown", + "id": "53c4a145", + "metadata": {}, + "source": [ + "## Section 5: Phase Spectrum\n", + "\n", + "The **phase spectrum** shows the timing offset of each frequency component. Two signals can have identical amplitude spectra but look completely different in the time domain if their phases differ.\n", + "\n", + "Phase is measured in radians, ranging from $-\\pi$ to $+\\pi$." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "3f661706", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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53YH738D9Uv6+Drwo+8b4vGuo1zCZTNJ//vOfiOs+Fn1qwzl/5v7NSOekBx54oLR69eohvy+xPr/lvt7LL7887HK47Xz00UcHLSOac/iB7VG4dmigZ599dsjPF24Zsdg/on2f0fRdAQCMFIISADI0KGHx4sX+A3YePOKBwHfeeSfohOnII4+UvvnmG3GyyYPkPAi4bNky6auvvhInFPKAKp9cbt68OeR7amxslKqqqsTjeJDt/PPPl55++mnpiy++kL788kvp4YcflvbZZx//a/7+978f86AEDjiQB/35JKm1tXXQY6688kr/sktKSqQ//vGP/s/wwAMPSLW1tf77TznllJCvk4j1f9VVV4mBVT4Bevzxx6XPPvtMDEDya/Hypk6dGnQSONqgBF5eaWmplJ+fL4JM+CSAPxufWOy7777+17r00kvjfgI1ceJE/3J+9KMfSRaLZcTLitV6VAZmGI1GsV3/+te/SsuXLxf70h/+8Af/duXtztuVB5/5+k9+8hMxaMiv+8ILLwR9b2655Zawr8mdEvLj+DkcxMLvm7fLq6++Kl1wwQX+zgG+v7+/P2FBCUVFRVJNTY3onOEgBP688vvkDhIZD/DJr8WDxX/+85+lN954Qzz27bffFtuA1xnfz+1PU1PToNfk/WH69OlBJ8p8gsgDzu+//774znObxfsRf+fHKighFttL+R3ioBX+HDyw+/rrr4v9h9fRGWec4X8MB2ZwOxjKW2+9FRQgwe0bt+G8v3L7xNvl5z//uWgDlZ/f6XT6g0tmzpwZcb3wcuTlX3fddVK8jGYfveKKK/zPvfvuu6MOSuDgsrVr14rODvn5t99+u/iffOHH8IC2fFu5rpWP44vSE0884d8XuGOGB7a5Y5j3YQ4kueGGG6ScnBxxP//dsGFDxH1SbqMPP/xw6ZlnnhHb5ZNPPpHuuusu/+PXr1/vXya3YdwucfvO+wP/JvIAujKAgztZI20H/i3kzqDJkydLf//738VvHAe2cbsof+/4wvuckry+eB3Jjxm4rviiDBSI9XFXQ0OD/3G8LpTfIWVnD38H+S8H3nAABv+Gc5vP+0F2drb/2OPTTz8N+TrcvnGwzoUXXij961//kj7++GPxPeZ26qGHHvIH9ETqPObvvPyY6upq8dry7wlvu+eff176xS9+IdqCUEEJ/NmOOeYY/zIOOugg8V64A5Lbpv/+97/SSSed5L+fH8vBPAAAADB6coA8Hy/IExcYH1Mojy+j7Svh4y9eFvfN8PmBfJ6hHIjjcxI+ruTrs2bNEr/7/Ho8EKgMoOZjlPb29pCvqTzG5D4Lfiz3Y8j9KHzsx+d+8uP4GCyWQQk8MWGo43C+DOxLiWVQgvK4ko/B+DPLx828Lnid8LpR9pWE0tfXF3T+z/1I3C/Bx4V8zM7H3Hx8ptx+I7F7927/MvjC/XUjnTikXD/yJKWB6+DOO+8U62Co9RirY1EOVpgxY4b/cXwOwsfa8vE1n0Pxud5hhx0mzmlkHPTD+4o8WYTPc0OdeygDDJT7pbx9uR9IPh/g7xK/lvJ8ns8NeEKBfF7H64nPjbjP8JprrvH3FXGgEJ9PJENQAp8f8kC4/DiefPXmm2+K7cJ9Bd/73vfE//fff/8ht3Osz2/l8zAOwpLPb/mc6//+7//8wVbc97Rt27aQ5/ByfwZv91Dbm7+Xwxns54lH8mO4DeW+Hd53+X3xPsHn1dwPxZ891DJisX8gKAEAkgGCEgAyNCgh3IEgn3DwCY78GB5g5gPoULPveGBUftz1118f8j0de+yx/gNKjvAPhU8WOTKeH8cDibt27ZLGMiiByUECfOGTIyU+QZHv44G3ULMQurq6xAlGuAGURK1/PrjmwcFw+ESND4Tlg+Jw6z7aoAT5BG3gQT3jA3Z5di2feIfrvIjVCRQP5irXd0FBgfSDH/xAzPbgg/fhDL7Haj0q308025W3P59Q8OBTqH1OPknix4UaVOYIaXlZfLIdrkOBT4Tkk7+hOrSiOWENd9KmvChnwys7wHhwjwcmw+HvpzzjmE+8wm0XPsnnZYULgrnpppuCMlyE6rTgQAfl7OZ4ByXEanspv0O8P3JnYyjKbC2hHsPfUf7eyG3ziy++GPaz8f43sG1UrmMO5Annsssu8z8uUmaLRAYlKDsQ+P1GG5Qw3JN/NlTHrNxRInf+cIBJuKCrTZs2ScXFxeJxRx111JC/S/ydCoe/I9wpzY/jwWvONBJKb2+vCPLhx3EnY09PT9D9A2etcRBEqPaY2wl5Rt2CBQtCvlY0s8riddylnHXDs63CbW+5cy5UG82BAfJjeDuG6xweKnsIBxJE+q7Jv0/cUTXUTEp5ZqQSdxjz87k9jDTz5p577ol4HAQAAADDwzPeOXA73PErB//yfRxIHWnweGCWqVDHo/xa8uApn4PyeQD354TKBMhBq/Ky/va3v4V8TeXrcdY1ZUCF8nxDOUjMA4+xCkqI9v6BYhWUoMzIyZ8x1DEWr5OBGekiBUjzZBpebii8/flYPly/VrTOPPPMoPfDg/Mc9M+BD5xlI1ww+0ADj/mjWQe834WacBOrY1EO8lX2AUTKKMHH4MM954t0PsB9npH6lFi4yUYy7meS+4B4ElMyBCUccsgh/sdwX1soHASgXBehvi/xOr/lIKqhzu95ksVo2oJo2hl+3/K5LWdKiNQ/wm1uqIk1sdg/EJQAAMkAQQkAGRqUwAPo4U5aeQBUeRD33XffhXwcP1/OgsAz9QbiiE15GRzxGQmfnMgHaDyQNdZBCcrZlq+99lrY+957772wy+ATNHmgkNdvotd/tHjdyzMdeNb/aIMSOEo3HI6Klx8XbqA0VidQjIM1lOtSeeHPzANdnNEhVBBFPNZjtNuVZxDIj7v22mvDvuZvfvMb/+NCBf3InVQDB8xCkQODojnBDiXa9JihPr8yKCFc6nDZ8ccf7y+1MlSHiLz9OfpdOajHgVDyLGweNOUAj3A4oGGsghJitb2U36FImTuUs/JDnYhzBH406eXD2bNnj/87wR1A4Qaw5dniww0UGMughJdffjmoQynRQQly9h7ej3kdRsIdxfIyB3YGK/dJ7nCMVOpGGTDFgV3RphkemBJTuR34uxmpbIyc0YN/W0OlYR3roAQOnuBZJ2effbb/Mdw5OrBTSbm9OWgsUhAc/w7x43jAYaS4g1PunAv1m3H00UeL+3igYbi4Q1AeDOFsQUORPw93UAIAAMDoKI+/Qh1D/ulPf/LfH26wemBfSbjMjoxnn8uP4wDvUANjjI8/5f6bUMfGTHnux7OUw+FgcvlxXEosXYISTj31VP/9kQYgefBcua4G4oBSOQsgZ+yMhAfZ5QH+cOdfQ+FzYw4aDncez4ERPPOc+3YilQ4b2D8QKUhCuQ4GBknH6lh0+/bt/nNTzpgYqexmOCMNSuDz3Ujraji4r0k+PwpXFnWsghK41KV8f6QgCT5XUWapDPV9icf5LWcXCZe9jfuS5FJ84QLgYxmUwJkr5fs5I0S8DLV/ICgBAJKBmgAgI5133nmkUqlC3jdv3jz/9dmzZ9O+++4b8nH8fPmxO3bsGHT/iy++KP4aDAY6/fTTI76foqIimjNnjrj+xRdf0FjLzs72X+/p6fFfd7vd9OGHH4rrkyZNoqOPPjrsMmbNmkWHHnqouP7dd99Ra2trQtd/KP39/bR7927asGEDrVu3TlwaGxvF+mfffvstjUZubi6deuqpYe/ff//9/de3b98e8jGPP/44n4mLy8UXXzyq93PPPffQl19+Seeccw6Zzeag+3jbrly5km6//XaaNm0aXXPNNWS328dkPfK+Emm7Ku/7wQ9+EHY58+fP918fuA9s2rRJvD95fxvK4YcfLv7y59q7dy8lykUXXRT2vr6+PnrvvffE9bPPPps0Gk1Un4m364oVK/z/V34/zzrrLMrLywu7jMsuu4zGQry2V6T1yfthVlZW2O/jK6+84m/Df/azn9FwVVdX00knnSSu//e//6Wurq5Bj3n22WfFdmVXXHEFJatwvxGJ8tJLL4m/vH6V7y3SvjLU7+u5555LOp0u7P3yb/rEiROD2vJQ+Pdcbg8jveZRRx1FlZWVYe+XX4d/D3bu3Eljjdcdt8nyhb8vBx54IL3wwgvifr1eTw899BAddNBBYZfBbczA359Qn7G9vZ26u7uHfE82m4327NlDGzdu9P/+cPvB37dwvz/yfdzGDPcY65NPPhHvLdq26bDDDhN/+beXf2cBAABg5B555BHxl49BzjzzzEH3X3DBBf5zokcffTSqZUY6v1T2RfBxWllZWcjH8fHn1KlTo+qL4HMtPh4KZ8mSJTRjxgxxnfte0uH4gT/DBx98IK5zX8NQx4qRzkdff/11cjqdUR2L8bEpr8/R9Kvxe+H3/vzzz4vjOrVaPagvZOnSpfTTn/5UnBf861//GnKZvH0XL14c1Tp4991343Is+sYbb/hv87ktn+OOlZNPPpkKCgqG/Tzus9i2bRutX7/ef9wvn1fw+RH3a8S7Ty0S5ba69NJLwz5Oq9XSD3/4wzE/v+X2ceD+K+N2c8GCBRH7JmOFt8Nrr70mrvO57/nnnx+T5Y50/wAASDRtot8AACSGfNIXivJgefr06RGXIz821CDN119/7R8Q5JOjaPHg7ljr7e31X1eeEPIgiDxgxgMRQ+ETrY8//lhcX7NmDR155JEJW//Kz3DfffeJkzC+7p20EFpbWxuNBndMRBoolgepxnJgjwd8nnvuOf/ANO+Xq1evFiepmzdvFo/hk9O///3vYv3wyUKogJFYrsdI2384+4DycQPXp/z9YxdeeKG4DOc7KA9ijQQH58jfg+HgzrYpU6aEvZ8H21wul7h+0003ictI2hXe/rKhBle5Y47bL4fDQfEUr+0VaV/j/bywsFB0LA3cf3g9y+uJ10GkjrJIfvzjH4vgBqvVSk899ZTovFL65z//Kf4WFxcPGbyWSOF+IxKhrq6Ompqa/J3P0XZAD/X7Gi5QauA+yh3P4YLqhvuaQ7WFifjNiEZVVRUdf/zxdO2119LMmTMjPna4nzHU/tXS0kJ//etf6eWXX6YtW7ZE7KwP9fvDnYRPPPGEaMcOOeQQMchwwgkniOOaffbZJ2KnrLJt4udGi1+ro6ODSkpKon4OAAAABHAQ4vvvvy+uc0BCqIG6iooKOvbYY+mtt94SAaT333//kMeqY9kXIQfSRwp8lc/JOOCSz0t4kI0H8lMZHy/L/UhDnW/yuSafb4U7f1Yei40bN25M+tV4IJcnAfCFA8uXL18u+lJWrVolBoGbm5vF4/i+yy+/XATW/uIXvwi7vAMOOCDqdcDHuhyEazQaY3osyhNSQg1qj4WhzrMGBqFwoMdnn30WMqg/lv13ozWcfpVI98fr/Dba87B4n2fu2rXLH1jD+/BQk2vSZf8AAAgHQQkAGUqeHRuKMpI00uOUj/V4PCE70UfCYrHQWFNmNeBBOpl84MjKy8uHXA53CoR6biLWP+PZnDy4GW0GgNGu+2jfLxvrGRA86MKzBuSZA4xnl958883+Wa8ccMAzuvnkO57rcTjrKdp9ZeD6HOn3L1HfQTbU7IFYfSbldzPc7B8Zd6BxmyCfJMdLvLZXtPvawP2HO3DkdoUHYEfqmGOOEVlmePYBnzwrgxI4cl/uHOKMDmM5WyVWvxGJEK99ZajPFY/f9GT+zWDcIbZw4UJxnQMxuHOU19NwZjqN9jN++umnYnZVNFkUwq1vDph8+umn6eqrrxbfbc44I2ed4e8d388Zhfh3zmQypfxvCQAAQDrg2c7y8Xik2c48A5mDEjgImLOQ/eQnP4m43Fj3RQx1jDbU+dbAvhYeSEv1oIThnG8O1deU6H61/Px8+t73vicujCdnfPTRR/TLX/7Sn6HrxhtvFMeSNTU1IZcxnHXAy+f1J5+DxupYVHk+N5rz25GI5vyRs2FwFhO5byoVjrWHs5/HYx+P1blmuP7UWInFvpeK+wcAQDgISgCAuJFnNHPnPXeqR2s4WRViQTkjmAcdUv0EWMYzDOSBdE7hxSnqjjvuOJo8ebKICOb1LM925Yh7nokRafZ/OuLZH5yWkKPo5VT1//nPf4KCElJ1PcrfP/bAAw8Ma1bBhAkTKBGGihhXfibu+Pj+978f9bJHk/lhLKTi9ooGfze4LMP//d//0dq1a0WGEnmmzMMPP+x/HM+wSWbK8h9DzRoby32FO6h//vOfR/3c0tLSUX//uOwHZ5+J1lCdQcmMv1tcRilROjs76YwzzhABCbx9OPMIl0ji4xSe9cUBBfLvD7cZPGMm3O8Pl+c48cQTxSxKDkjgWW48K4l/27hjmS933HGHSJ0qpzIduL/x7yQHGUUrUmkOAAAACI9/zx977LFhz+zmgMqhghIgtSiPxThrwMAA0rHGx55HHHGEKLXBGQC4nCD3p/Ax5EhK/g0lHY5Fo5kZ/6c//ck/4MznW7wu+byZAz34fErONsKlM+SMrMnQ75TM57fpJJP3DwBIPwhKAIC44Q5zTo/Paa+5A32olH2JwjXq5AhSHnxQplJWXo9mprTyMcrnJgJ3SMgz+//3v//5I9vDDXxksquuusoflMDpAtNhPSpTZnPHRSIH1uLxmfjEfqSfSfndlFNPRopI55nF0XQwDBVhz+lIU2V78WwOnjnAn6mhoWFUy+LZW7/73e/E94jLNfDJM68Lnskld7LKNWmTEc/+kmeVK+uUJopyX+HtM1b7Cr/u3r17xW96ovfPTMGZe+S0m1xiKNIgQ6R2SpaTkyM6+uTZlrw9OS0016uWgxROOeUU2rp1q7/DW7m/5ebmYtsDAACMAR5Y4pKBIwmk5TKSXJ4pWQx1vjWwH4XLuiWSfH43mnO74ZxvDtXXpDwW43WTLAHpnEGBZ27/4Q9/CNmPojScdcBBD8r1F6tjUeVy+Pw22c4/H3zwQfGXt+9XX30VNrA7mmP+sTJwP4+0b0a7j4/l+e1YGbjvpcL+oTxnBACItUBeLgCAGJNn2nHU67Jly5J2/d59993+62eddVbQfXzAx534LJrPoHzM3LlzKZF4VrKcqSLSQPqGDRv89Q4zlTKFmjJlZSqvR+VM1+FkKklmXGdS3j6j+UzK7yaf0EXCJQZ45kc4cvsQzQkg7yOpsr20Wq2/9iWn5Yw2dXwo3Hkmt62cmYRrNnJGEh7cZpxJIZlxMBLPAGKcIWU4NUHjgX+X5BSgn3/++ZjNgJD3UR64ltdHoslZAtKV/PvDzj///LCP4+8UB4EOF2eQ4aAhzrBwwgkniP/V19cHtUHJ1jYBAABkAmVNdQ7q5WPnSBcOXpRxsGEy4XMJDvSORD4n44E2Pt5O5PGifH43mnO7iRMnUnZ2dlTnm7xu+JwznGQ+FovUj6LE2fKiXQccLMAl02L9+ffbbz//dc4QlkznHlwGQR6s5qxokTLNcbaMZDGcfpVI9yfq/Hastndtba0/2Ir34eGWJUzV/QMAIBwEJQBA3HDK4VAD/8mET97feecdf6T3NddcMyhK/qijjhLXd+zYETRbdqCNGzeKrAvyiVOiI/zlFGg8OznSQe/f/vY3ynTffPON//rAdICpuh75BFH+LDwQzGUlUh2fqMqz1Pm7ptxuww1ukKPVeSYyD+iF869//SvisrjdkE+gI70fzsbCg9uptL1OO+00/74/2v1bnuHN64Fr23PnKuPtIL9OMtq1a5fIpCL77W9/G7HDbSzw63NnhPy7xOn4x/o3/c9//jMlA2X6WjmjTTpRpjKNNBvvH//4R9BjR9Lhdswxx4Sse8rpP/Py8sR1/t5Gai8BAABg9Lq6ukQqfLZw4UK67LLLRNm6SJerr76aZsyYIZ7zzDPPRAyqHmsc3MznXOFwtibuS5GPO6JJdR/P40UOKJBn/kcKzH7yySfD3qfsR+LAUR5oDYdTskd6Hc5iJa+T++67b1THfEMZ7mBwpH4UJd6+kSb5KNfBscceG3RfrI5FTzrpJP96/Otf/zqicwd5X4r1eUe0x/z82Z944glKFsptFSkYij+fshxNspzfjtX25nMt/h7LAeByxsh03z8AAMJBUAIAxM3BBx/sPxF744036De/+U3EkxxO08WDdpEizmN5on/99df7gxD4IJgPouWTHaXrrrvOf53rOYdKt8Uzfi+88EJ/ij9edqJxyQx5EJBnT4SiHBxMFpwijA/a+fL444+PaBk2m00EhnDnx1CzMjhNNe+bsjPPPDMt1iOvv1tvvVVct1qt4iRoqFRx3FkwnFrxiXDLLbeIz8ZtCc++37RpU8TH8+D+wBNkLiUjD5LzDBj+XodKz/nmm28GzVIKR67xylHpnGo11Ekkdya2tLSk1PbiwXg54OL3v/89vfzyy2Efy+uPT7DDWbx4sT+N7O233+7vwOJZ2nq9fsjAALlN4FkGY4H3L/68ixYtEjMTGAdPXHDBBZQMuM0yGAzi+uWXX07Lly+P+HguAaCcQTcS5557Lk2fPl1cf+CBB/wpJMPhznD+7kWTrnWklHViR5IpINnJvz+ROvq4ni+3i5Fwx5ecmSTc9/fdd98N2anMswV/+ctfiuvcJnG7O1RnMLeFb731VsTHAAAAQGgcVMDns4wDDqJ1zjnniL987CqXJkwWXCM+VDkKPhfj8yQZ10lP9PHiEUccIf5yP8I999wT8jF8HMx9XJH89Kc/9V/n4/VQmRd4nfziF7+IuByeRc7nTGzVqlX0ox/9aMigEy7PxcEew8XP43OeaLKEvv766/7ADM6yJw+6hnPppZeGXAd8rievA17OlVdeGXR/rI5F+TyS++zk82hep5H6ijg7XLh9ic/ruU8xVjhQXz7v5vWqDBCWcZvAmdMi9SnEsk8tGjyx4pBDDhHXP/jgg7DnhxzYP1S/TSLOb4cib+9t27YNWc5lKL/61a/8n4+DyCJ9P/n7rTyHjvX+MZx+t3jvQwCQmbSJfgMAkN6eeuopUT+cUz3feeedYpCPD/7nz58v6sFxunuOhOVUXjwA1NjYKE6EZs6cOarX5cGxdevW+W/zIB+fNHC0Ox/c8km6HGHK0a98MHv66aeHDa7gEyOeicgnjZy6m0+KlixZIk6aVq5cKWaNyifZfDJ23nnnUaLxiQjPbubBNT4B5Pd53HHHiQNa3h48wM5BIDzowSeHsTp4TaY0kWeffbY4eD/xxBPFfsiflcsw8CAxn/zyiRPvo7x/MJ6FP3DbpfJ65JMSTsv98MMPi3SI/L3iTgzuaOETLF4PfLLDnRv83eTvIT9nOJ1fY42/j3fccQfdcMMNYv1z1gMeKOZtMm7cOP8J6urVq0VmE86owNv+kksuCVrOr3/9azEjg0+OeRvysrjjiNNFdnZ2ivaI1xt3XvBgXqgTPxkHN/FsJt5HOMKf3xuvYw524vTrPIDL++NBBx0UcZZMsm0v/q5wpyh/f7jDhttIbt/4e8VpVXmmCdek5zaV1yV38kQaHOXgD25LuZ1nfILLHQ6JwO2/8jeC1y3PzuH3xgETfLLPAUsy/ty8LhKdJUE5aMwBM1zHlfdX/l5wB93JJ58s7uPfJm6P+DPyoDV/F7jNUnaODhcvk/dzDjDh31PeljzYze+B635yGknuIOTfWe7IfPXVV8V74PVYVlZG8SB3gslBNDfeeCPV1NT4Z0FxxqJEZy0aDR5c4M/EQXE333wzbd++XQTOVVRUiH2V2ymeDcP1XDlrS7iOdu7k4zIpXILo0EMPFTMp+fvN3wPuZOOOJjnTE8/I5DZzYHvJ25Q7d3lf4naSBxC4TSstLRWzh7iTmH8fX3vtNbHf8fs+/vjjx2Q9AQAApBM5KJqPlfm4ezjHDfKxOAczDue58cT9JzzxhNPncz8KH4vwsRofc//pT3/yZ4i76KKL/AEBscTlqnhgn/treL3wcRAf78glAjhgXRmQyedXHCzO55QcTM3n97xueQIL9yHw8S/P5Objbz53C4c/C58f8cA9D4Lzevi///s/EfTMGRj52Iv7kfh4jO/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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Phase at 10 Hz: Signal A = -1.571 rad, Signal B = 0.000 rad\n", + "Difference: 1.571 rad ≈ π/2 = 1.571 rad\n" + ] + } + ], + "source": [ + "# Visualization 4: Phase matters!\n", + "\n", + "# Two signals with same amplitude but different phases\n", + "signal_A = generate_sine_wave(t, frequency=10, amplitude=1.0, phase=0)\n", + "signal_B = generate_sine_wave(t, frequency=10, amplitude=1.0, phase=np.pi/2)\n", + "\n", + "# Compute spectra\n", + "freq_A, amp_A = compute_amplitude_spectrum(signal_A, fs)\n", + "freq_B, amp_B = compute_amplitude_spectrum(signal_B, fs)\n", + "_, phase_A = compute_phase_spectrum(signal_A, fs)\n", + "_, phase_B = compute_phase_spectrum(signal_B, fs)\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Time domain\n", + "axes[0, 0].plot(t, signal_A, color=COLORS[\"signal_1\"], linewidth=1.5, label=\"Signal A (phase=0)\")\n", + "axes[0, 0].plot(t, signal_B, color=COLORS[\"signal_2\"], linewidth=1.5, label=\"Signal B (phase=π/2)\")\n", + "axes[0, 0].set_xlabel(\"Time (s)\")\n", + "axes[0, 0].set_ylabel(\"Amplitude\")\n", + "axes[0, 0].set_title(\"Time Domain: Same Frequency, Different Phase\")\n", + "axes[0, 0].set_xlim(0, 0.3)\n", + "axes[0, 0].legend()\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Amplitude spectra (identical)\n", + "axes[0, 1].plot(freq_A, amp_A, color=COLORS[\"signal_1\"], linewidth=1.5, label=\"Signal A\")\n", + "axes[0, 1].plot(freq_B, amp_B, color=COLORS[\"signal_2\"], linewidth=1.5, linestyle=\"--\", label=\"Signal B\")\n", + "axes[0, 1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0, 1].set_ylabel(\"Amplitude\")\n", + "axes[0, 1].set_title(\"Amplitude Spectra: Identical!\")\n", + "axes[0, 1].set_xlim(0, 20)\n", + "axes[0, 1].legend()\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Phase at 10 Hz\n", + "idx_10 = np.argmin(np.abs(freq_A - 10))\n", + "axes[1, 0].bar([\"Signal A\", \"Signal B\"], [phase_A[idx_10], phase_B[idx_10]], \n", + " color=[COLORS[\"signal_1\"], COLORS[\"signal_2\"]])\n", + "axes[1, 0].set_ylabel(\"Phase at 10 Hz (radians)\")\n", + "axes[1, 0].set_title(\"Phase Comparison\")\n", + "axes[1, 0].axhline(0, color=\"gray\", linestyle=\"-\", alpha=0.5)\n", + "axes[1, 0].axhline(np.pi/2, color=\"gray\", linestyle=\"--\", alpha=0.5)\n", + "\n", + "# Summary text\n", + "axes[1, 1].text(0.5, 0.6, \"Key Insight:\", fontsize=14, fontweight=\"bold\",\n", + " ha=\"center\", transform=axes[1, 1].transAxes)\n", + "axes[1, 1].text(0.5, 0.4, \"Same amplitude spectrum\\n≠ Same signal!\", fontsize=12,\n", + " ha=\"center\", transform=axes[1, 1].transAxes)\n", + "axes[1, 1].text(0.5, 0.2, \"Phase carries essential information\\nabout signal timing.\", fontsize=11,\n", + " ha=\"center\", transform=axes[1, 1].transAxes)\n", + "axes[1, 1].axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Phase at 10 Hz: Signal A = {phase_A[idx_10]:.3f} rad, Signal B = {phase_B[idx_10]:.3f} rad\")\n", + "print(f\"Difference: {phase_B[idx_10] - phase_A[idx_10]:.3f} rad ≈ π/2 = {np.pi/2:.3f} rad\")" + ] + }, + { + "cell_type": "markdown", + "id": "dd3d5f95", + "metadata": {}, + "source": [ + "## Section 6: Frequency Resolution\n", + "\n", + "**Frequency resolution** ($\\Delta f$) determines how precisely we can distinguish nearby frequencies. It depends on the signal duration:\n", + "\n", + "$$\\Delta f = \\frac{1}{T} = \\frac{f_s}{N}$$\n", + "\n", + "where $T$ is the signal duration, $f_s$ is the sampling rate, and $N$ is the number of samples.\n", + "\n", + "**Key insight**: To resolve two frequencies $\\Delta f$ Hz apart, you need at least $1/\\Delta f$ seconds of data." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "a8cf76f3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "To resolve 10 Hz from 11 Hz (1 Hz apart):\n", + " - 0.5s duration → Δf = 2 Hz → peaks MERGED\n", + " - 1.0s duration → Δf = 1 Hz → peaks JUST VISIBLE\n", + " - 2.0s duration → Δf = 0.5 Hz → peaks CLEARLY SEPARATED\n" + ] + } + ], + "source": [ + "# Visualization 5: Frequency resolution depends on signal duration\n", + "\n", + "fs = 500\n", + "freq_1, freq_2 = 10, 11 # Two close frequencies (1 Hz apart)\n", + "\n", + "durations = [0.5, 1.0, 2.0]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n", + "\n", + "for ax, dur in zip(axes, durations):\n", + " t = generate_time_vector(dur, fs)\n", + " signal = generate_sine_wave(t, freq_1, 1.0) + generate_sine_wave(t, freq_2, 1.0)\n", + " \n", + " freqs, amps = compute_amplitude_spectrum(signal, fs)\n", + " delta_f = compute_frequency_resolution(fs, len(t))\n", + " \n", + " ax.plot(freqs, amps, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + " ax.set_xlabel(\"Frequency (Hz)\")\n", + " ax.set_ylabel(\"Amplitude\")\n", + " ax.set_title(f\"Duration = {dur}s\\nΔf = {delta_f:.2f} Hz\")\n", + " ax.set_xlim(5, 16)\n", + " ax.axvline(freq_1, color=\"gray\", linestyle=\"--\", alpha=0.5)\n", + " ax.axvline(freq_2, color=\"gray\", linestyle=\"--\", alpha=0.5)\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"To resolve 10 Hz from 11 Hz (1 Hz apart):\")\n", + "print(\" - 0.5s duration → Δf = 2 Hz → peaks MERGED\")\n", + "print(\" - 1.0s duration → Δf = 1 Hz → peaks JUST VISIBLE\")\n", + "print(\" - 2.0s duration → Δf = 0.5 Hz → peaks CLEARLY SEPARATED\")" + ] + }, + { + "cell_type": "markdown", + "id": "8a8f5457", + "metadata": {}, + "source": [ + "## Section 7: Practical Example — EEG-like Signal\n", + "\n", + "Let's apply everything we've learned to analyze a realistic EEG-like signal containing multiple brain rhythms." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f2d1a91e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EEG-like signal contains:\n", + " - Theta (6 Hz): memory, drowsiness\n", + " - Alpha (10 Hz): relaxed wakefulness\n", + " - Beta (20 Hz): active thinking\n", + " - Gamma (40 Hz): cognitive processing\n" + ] + } + ], + "source": [ + "# Visualization 6: EEG-like signal analysis\n", + "\n", + "duration = 5.0\n", + "fs = 256 # Common EEG sampling rate\n", + "t = generate_time_vector(duration, fs)\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Neural oscillations at different bands\n", + "theta = generate_sine_wave(t, frequency=6, amplitude=1.2) # Theta (4-8 Hz)\n", + "alpha = generate_sine_wave(t, frequency=10, amplitude=2.0) # Alpha (8-13 Hz)\n", + "beta = generate_sine_wave(t, frequency=20, amplitude=0.8) # Beta (13-30 Hz)\n", + "gamma = generate_sine_wave(t, frequency=40, amplitude=0.4) # Gamma (30-50 Hz)\n", + "\n", + "# Add noise\n", + "noise = np.random.randn(len(t)) * 0.5\n", + "\n", + "# Combine\n", + "eeg_signal = theta + alpha + beta + gamma + noise\n", + "\n", + "# Compute spectrum\n", + "frequencies, amplitude_spectrum = compute_amplitude_spectrum(eeg_signal, fs)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Time domain - full\n", + "axes[0, 0].plot(t, eeg_signal, color=COLORS[\"signal_1\"], linewidth=0.5)\n", + "axes[0, 0].set_xlabel(\"Time (s)\")\n", + "axes[0, 0].set_ylabel(\"Amplitude (μV)\")\n", + "axes[0, 0].set_title(\"Simulated EEG Signal\")\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Time domain - zoomed\n", + "axes[0, 1].plot(t, eeg_signal, color=COLORS[\"signal_1\"], linewidth=1)\n", + "axes[0, 1].set_xlabel(\"Time (s)\")\n", + "axes[0, 1].set_ylabel(\"Amplitude (μV)\")\n", + "axes[0, 1].set_title(\"Zoomed View (1 second)\")\n", + "axes[0, 1].set_xlim(0, 1)\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Frequency domain with bands\n", + "axes[1, 0].plot(frequencies, amplitude_spectrum, color=COLORS[\"signal_2\"], linewidth=1)\n", + "axes[1, 0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1, 0].set_ylabel(\"Amplitude\")\n", + "axes[1, 0].set_title(\"Amplitude Spectrum\")\n", + "axes[1, 0].set_xlim(0, 60)\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Mark frequency bands\n", + "bands = {\n", + " \"Theta\\n(4-8 Hz)\": (4, 8, COLORS[\"signal_3\"]),\n", + " \"Alpha\\n(8-13 Hz)\": (8, 13, COLORS[\"signal_1\"]),\n", + " \"Beta\\n(13-30 Hz)\": (13, 30, COLORS[\"signal_2\"]),\n", + " \"Gamma\\n(30-50 Hz)\": (30, 50, COLORS[\"signal_4\"]),\n", + "}\n", + "for band_name, (f_low, f_high, color) in bands.items():\n", + " axes[1, 0].axvspan(f_low, f_high, alpha=0.2, color=color, label=band_name)\n", + "axes[1, 0].legend(loc=\"upper right\", fontsize=9)\n", + "\n", + "# Frequency resolution info\n", + "delta_f = compute_frequency_resolution(fs, len(eeg_signal))\n", + "axes[1, 1].text(0.5, 0.7, \"Analysis Summary\", fontsize=14, fontweight=\"bold\",\n", + " ha=\"center\", transform=axes[1, 1].transAxes)\n", + "axes[1, 1].text(0.5, 0.5, \n", + " f\"Sampling rate: {fs} Hz\\n\"\n", + " f\"Duration: {duration} s\\n\"\n", + " f\"Samples: {len(eeg_signal)}\\n\"\n", + " f\"Frequency resolution: {delta_f:.2f} Hz\",\n", + " fontsize=12, ha=\"center\", va=\"center\", transform=axes[1, 1].transAxes)\n", + "axes[1, 1].axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"EEG-like signal contains:\")\n", + "print(\" - Theta (6 Hz): memory, drowsiness\")\n", + "print(\" - Alpha (10 Hz): relaxed wakefulness\")\n", + "print(\" - Beta (20 Hz): active thinking\")\n", + "print(\" - Gamma (40 Hz): cognitive processing\")" + ] + }, + { + "cell_type": "markdown", + "id": "6ac5b3b5", + "metadata": {}, + "source": [ + "## Section 8: Hands-On Exercises\n", + "\n", + "### 🎯 Exercise 1: Mystery Signal Analysis 🟢\n", + "\n", + "**Difficulty**: Beginner\n", + "\n", + "A mystery signal is provided below. Use the FFT to identify its component frequencies.\n", + "\n", + "**Your task**:\n", + "1. Compute the amplitude spectrum using `compute_amplitude_spectrum()`\n", + "2. Plot the spectrum and identify the peak frequencies\n", + "3. List all component frequencies in the signal" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "0a4de8c0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 1: Mystery signal\n", + "\n", + "np.random.seed(123)\n", + "fs_ex1 = 500\n", + "t_ex1 = generate_time_vector(duration=3.0, fs=fs_ex1)\n", + "\n", + "# Mystery signal (don't peek at the frequencies!)\n", + "mystery_signal = (\n", + " generate_sine_wave(t_ex1, frequency=5, amplitude=1.0) +\n", + " generate_sine_wave(t_ex1, frequency=11, amplitude=0.6) +\n", + " generate_sine_wave(t_ex1, frequency=23, amplitude=0.4)\n", + ")\n", + "\n", + "# Plot the mystery signal\n", + "plt.figure(figsize=(12, 3))\n", + "plt.plot(t_ex1, mystery_signal, color=COLORS[\"signal_1\"], linewidth=0.8)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Amplitude\")\n", + "plt.title(\"Mystery Signal — What frequencies does it contain?\")\n", + "plt.xlim(0, 1)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n", + "# Your code here:\n", + "# freqs, amps = compute_amplitude_spectrum(mystery_signal, fs_ex1)\n", + "# ..." + ] + }, + { + "cell_type": "markdown", + "id": "9dc747f9", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "freqs, amps = compute_amplitude_spectrum(mystery_signal, fs_ex1)\n", + "\n", + "plt.figure(figsize=(10, 4))\n", + "plt.plot(freqs, amps, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "plt.xlabel(\"Frequency (Hz)\")\n", + "plt.ylabel(\"Amplitude\")\n", + "plt.title(\"Mystery Signal — Amplitude Spectrum\")\n", + "plt.xlim(0, 40)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n", + "# Find peaks\n", + "peak_threshold = 0.2\n", + "peak_freqs = freqs[amps > peak_threshold]\n", + "print(f\"Component frequencies: {peak_freqs}\")\n", + "```\n", + "\n", + "**Answer**: The mystery signal contains **5 Hz**, **11 Hz**, and **23 Hz** with amplitudes 1.0, 0.6, and 0.4 respectively.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "4bd5f98a", + "metadata": {}, + "source": [ + "### 🎯 Exercise 2: Frequency Resolution Challenge 🟡\n", + "\n", + "**Difficulty**: Intermediate\n", + "\n", + "Two frequencies (10 Hz and 11 Hz) are mixed together. Determine the minimum signal duration needed to resolve them as separate peaks.\n", + "\n", + "**Your task**:\n", + "1. Calculate the theoretical minimum duration using $\\Delta f = 1/T$\n", + "2. Verify by computing spectra at different durations\n", + "3. What duration would you recommend in practice?" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "7229c45e", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Frequency resolution challenge\n", + "\n", + "fs_ex2 = 500\n", + "freq_A, freq_B = 10, 11 # Only 1 Hz apart\n", + "\n", + "# What is the minimum duration to resolve these frequencies?\n", + "# Hint: Δf = 1/T\n", + "\n", + "# Your code here:\n", + "# ..." + ] + }, + { + "cell_type": "markdown", + "id": "2aab6625", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Theoretical calculation\n", + "freq_separation = abs(freq_B - freq_A) # 1 Hz\n", + "min_duration = 1 / freq_separation # 1 second\n", + "print(f\"Theoretical minimum duration: {min_duration} seconds\")\n", + "\n", + "# Verify experimentally\n", + "for dur in [0.5, 1.0, 2.0]:\n", + " t = generate_time_vector(dur, fs_ex2)\n", + " signal = generate_sine_wave(t, freq_A, 1.0) + generate_sine_wave(t, freq_B, 1.0)\n", + " delta_f = compute_frequency_resolution(fs_ex2, len(t))\n", + " print(f\"Duration={dur}s → Δf={delta_f:.2f} Hz → {'RESOLVED' if delta_f <= freq_separation else 'NOT RESOLVED'}\")\n", + "```\n", + "\n", + "**Answer**: To resolve frequencies 1 Hz apart, you need at least 1 second of data (Δf ≤ 1 Hz). In practice, 2 seconds gives clearer separation.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "67e9ce4b", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **The Fourier Transform decomposes signals into frequency components** — any signal can be represented as a sum of sine waves\n", + "\n", + "2. **The FFT is the efficient algorithm** to compute the DFT in $O(N \\log N)$ time\n", + "\n", + "3. **Amplitude spectrum** shows the strength of each frequency: $|X[k]|$\n", + "\n", + "4. **Phase spectrum** shows the timing offset: $\\angle X[k]$\n", + "\n", + "5. **Frequency resolution depends on duration**: $\\Delta f = 1/T$\n", + "\n", + "6. **For real signals, the spectrum is symmetric** — we show only positive frequencies\n", + "\n", + "### Functions Used\n", + "\n", + "| Function | Description |\n", + "|----------|-------------|\n", + "| `compute_fft(signal, fs)` | Full FFT with frequency axis |\n", + "| `compute_amplitude_spectrum(signal, fs)` | One-sided amplitude spectrum |\n", + "| `compute_phase_spectrum(signal, fs)` | One-sided phase spectrum |\n", + "| `compute_frequency_resolution(fs, n_samples)` | Calculate Δf |\n", + "\n", + "### Next Steps\n", + "\n", + "In the next notebook (**A03: Power Spectrum and Frequency Bands**), we will:\n", + "- Learn about power spectral density (PSD)\n", + "- Explore Welch's method for robust spectral estimation\n", + "- Define and extract EEG frequency bands\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "37ca8dad", + "metadata": {}, + "source": [ + "## External Resources\n", + "\n", + "### 🎥 Video Summary\n", + "\n", + "- **[Frequency Domain Analysis - Video Overview](https://notebooklm.google.com/notebook/6ae43fc0-9141-4764-8774-aac72f1ec3c9?artifactId=2ea6754c-0c43-49b5-a1f0-155dd090861b)** — AI-generated video summary of this notebook's key concepts\n", + "\n", + "### 📝 Practice & Review\n", + "\n", + "- **[Quiz: Test Your Understanding](https://notebooklm.google.com/notebook/6ae43fc0-9141-4764-8774-aac72f1ec3c9?artifactId=7b1928a7-e87a-42d9-aabe-7a70923a95a2)** — Interactive quiz on Fourier Transform and spectral analysis\n", + "- **[Flashcards: Key Terms](https://notebooklm.google.com/notebook/6ae43fc0-9141-4764-8774-aac72f1ec3c9?artifactId=3d3ab500-7856-48ab-8d70-50a2d4bc4751)** — Review flashcards for spaced repetition learning\n", + "\n", + "### 🎥 Video Tutorials\n", + "\n", + "- **[Veritasium: The Remarkable Story Behind The Most Important Algorithm Of All Time](https://www.youtube.com/watch?v=nmgFG7PUHfo)** (20 min) — Fascinating history and intuition behind the FFT algorithm\n", + "- **[Steve Brunton: The Fast Fourier Transform (FFT)](https://www.youtube.com/watch?v=E8HeD-MUrjY)** (12 min) — Clear mathematical explanation with visual examples\n", + "\n", + "### 📖 Further Reading\n", + "\n", + "- **[Wikipedia: Fast Fourier Transform](https://en.wikipedia.org/wiki/Fast_Fourier_transform)** — Algorithm details and computational complexity\n", + "- **[BetterExplained: An Interactive Guide To The Fourier Transform](https://betterexplained.com/articles/an-interactive-guide-to-the-fourier-transform/)** — Intuitive interactive explanations\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "ef9a9f06", + "metadata": {}, + "source": [ + "## Discussion Questions\n", + "\n", + "For the live session, consider the following questions:\n", + "\n", + "1. **You record 1 second of EEG data. Can you distinguish between 10 Hz and 10.5 Hz oscillations? What about with 3 seconds of data?**\n", + "\n", + "2. **Two EEG channels show identical amplitude spectra but different phase spectra. What might this indicate about the relationship between these brain regions?**\n", + "\n", + "3. **Why do you think most EEG connectivity metrics (coherence, PLV, etc.) operate in the frequency domain rather than the time domain?**\n", + "\n", + "4. **A colleague shows you an amplitude spectrum with a very sharp, narrow peak. What does this tell you about the underlying signal?**\n", + "\n", + "5. **In hyperscanning, we analyze two brains simultaneously. How might phase relationships between two participants' EEG signals at the same frequency be meaningful?**" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A03_power_spectrum_frequency_bands.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A03_power_spectrum_frequency_bands.ipynb new file mode 100644 index 0000000..029ffa0 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A03_power_spectrum_frequency_bands.ipynb @@ -0,0 +1,2539 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "bef816e8", + "metadata": {}, + "source": [ + "# A03: Power Spectrum and Frequency Bands\n", + "\n", + "**Duration**: ~60 minutes \n", + "**Prerequisites**: A01 (Signals and Sampling), A02 (The Frequency Domain)\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "- Understand the relationship between amplitude spectrum and power spectrum\n", + "- Compute Power Spectral Density (PSD) using both periodogram and Welch's method\n", + "- Explain the trade-off between frequency resolution and variance in spectral estimation\n", + "- Define and compute power in standard EEG frequency bands (delta, theta, alpha, beta, gamma)\n", + "- Convert between absolute and relative band power measures\n", + "- Use the decibel scale for visualizing power spectra\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "df115612", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#1-introduction)\n", + "2. [From Amplitude to Power](#2-from-amplitude-to-power)\n", + "3. [Power Spectral Density (PSD)](#3-power-spectral-density-psd)\n", + "4. [The Periodogram and Its Limitations](#4-the-periodogram-and-its-limitations)\n", + "5. [Welch's Method](#5-welchs-method)\n", + "6. [EEG Frequency Bands](#6-eeg-frequency-bands)\n", + "7. [Band Power Extraction](#7-band-power-extraction)\n", + "8. [Comparing Conditions: Eyes Open vs Eyes Closed](#8-comparing-conditions-eyes-open-vs-eyes-closed)\n", + "9. [The Decibel Scale](#9-the-decibel-scale)\n", + "10. [Practical Example: Realistic EEG-like Signal](#10-practical-example-realistic-eeg-like-signal)\n", + "11. [Exercises](#11-exercises)\n", + "12. [Summary](#12-summary)\n", + "13. [External Resources](#external-resources)\n", + "14. [Discussion Questions](#13-discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "e1bf97ff", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Imports loaded ✓\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Tuple, Optional\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy.signal import welch\n", + "from scipy.fft import fft, fftfreq\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parents[2]\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from src.signals import generate_time_vector, generate_sine_wave\n", + "from src.spectral import compute_fft, compute_amplitude_spectrum, compute_frequency_resolution\n", + "from src.colors import COLORS\n", + "\n", + "# Matplotlib configuration\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"font.size\"] = 11\n", + "\n", + "print(\"Imports loaded ✓\")" + ] + }, + { + "cell_type": "markdown", + "id": "6061c1aa", + "metadata": {}, + "source": [ + "## 1. Introduction\n", + "\n", + "In the previous notebook, we learned how the Fourier transform reveals the frequency content of signals through the **amplitude spectrum**. While amplitude tells us \"how much\" of each frequency is present, neuroscience research typically focuses on **power** — the squared amplitude.\n", + "\n", + "Why power instead of amplitude? Power is directly related to the **energy** of oscillations. When we say \"alpha power increased during eyes-closed rest,\" we're quantifying the energy contributed by 8-13 Hz oscillations. This physical interpretation makes power the standard measure in EEG/MEG analysis.\n", + "\n", + "The **Power Spectral Density (PSD)** goes one step further by normalizing power by frequency resolution. This allows meaningful comparisons across recordings with different durations or sampling rates — essential for comparing across participants or studies.\n", + "\n", + "Finally, we'll explore **frequency bands** — the canonical divisions (delta, theta, alpha, beta, gamma) that organize our understanding of neural oscillations. Computing \"band power\" is one of the most common analyses in cognitive neuroscience, and understanding it deeply prepares us for more sophisticated connectivity analyses." + ] + }, + { + "cell_type": "markdown", + "id": "6425c54c", + "metadata": {}, + "source": [ + "## 2. From Amplitude to Power\n", + "\n", + "The **amplitude spectrum** shows the magnitude of each frequency component. The **power spectrum** is simply the amplitude squared:\n", + "\n", + "$$P(f) = |X(f)|^2$$\n", + "\n", + "Why square the amplitude?\n", + "- **Physical meaning**: Power relates to energy — the rate at which energy is transferred\n", + "- **Variance interpretation**: For a signal, power at frequency $f$ equals the variance contributed by that frequency\n", + "- **Squaring amplifies differences**: A 2× amplitude difference becomes a 4× power difference\n", + "\n", + "**Units**:\n", + "- If the signal is in µV (microvolts), amplitude is in µV, and power is in µV²\n", + "- Power is often reported in **decibels (dB)**: $P_{dB} = 10 \\cdot \\log_{10}(P)$\n", + "\n", + "The distinction between **power spectrum** and **Power Spectral Density (PSD)** is subtle but important:\n", + "- Power spectrum: raw |X(f)|²\n", + "- PSD: normalized by frequency resolution (Δf), giving units of µV²/Hz" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "07a5ed5e", + "metadata": {}, + 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Amplitude ratios: 1.0 : 0.5 : 0.25 (linear decrease)\n", + "Power ratios: 1.0 : 0.25 : 0.0625 (squared → differences amplified)\n" + ] + } + ], + "source": [ + "# Visualization 1: Amplitude Spectrum vs Power Spectrum\n", + "# Show how squaring amplifies differences\n", + "\n", + "duration = 2.0\n", + "fs = 500\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create signal with components of different amplitudes\n", + "freq_1, amp_1 = 5, 1.0 # Reference amplitude\n", + "freq_2, amp_2 = 12, 0.5 # Half the amplitude\n", + "freq_3, amp_3 = 25, 0.25 # Quarter the amplitude\n", + "\n", + "signal = (generate_sine_wave(t, frequency=freq_1, amplitude=amp_1) +\n", + " generate_sine_wave(t, frequency=freq_2, amplitude=amp_2) +\n", + " generate_sine_wave(t, frequency=freq_3, amplitude=amp_3))\n", + "\n", + "# Compute amplitude spectrum\n", + "frequencies, amplitude = compute_amplitude_spectrum(signal, fs)\n", + "\n", + "# Power = amplitude squared\n", + "power = amplitude ** 2\n", + "\n", + "# Plot comparison\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Amplitude spectrum\n", + "axes[0].plot(frequencies, amplitude, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "axes[0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0].set_ylabel(\"Amplitude (µV)\")\n", + "axes[0].set_title(\"Amplitude Spectrum\")\n", + "axes[0].set_xlim(0, 40)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Annotate peaks with amplitude ratios\n", + "axes[0].annotate(f\"1.0\", (freq_1, amp_1), textcoords=\"offset points\", xytext=(5, 5))\n", + "axes[0].annotate(f\"0.5\", (freq_2, amp_2), textcoords=\"offset points\", xytext=(5, 5))\n", + "axes[0].annotate(f\"0.25\", (freq_3, amp_3), textcoords=\"offset points\", xytext=(5, 5))\n", + "\n", + "# Power spectrum\n", + "axes[1].plot(frequencies, power, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"Power (µV²)\")\n", + "axes[1].set_title(\"Power Spectrum\")\n", + "axes[1].set_xlim(0, 40)\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Annotate with power ratios\n", + "axes[1].annotate(f\"1.0\", (freq_1, amp_1**2), textcoords=\"offset points\", xytext=(5, 5))\n", + "axes[1].annotate(f\"0.25\", (freq_2, amp_2**2), textcoords=\"offset points\", xytext=(5, 5))\n", + "axes[1].annotate(f\"0.0625\", (freq_3, amp_3**2), textcoords=\"offset points\", xytext=(5, 5))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Amplitude ratios: 1.0 : 0.5 : 0.25 (linear decrease)\")\n", + "print(\"Power ratios: 1.0 : 0.25 : 0.0625 (squared → differences amplified)\")" + ] + }, + { + "cell_type": "markdown", + "id": "271bedff", + "metadata": {}, + "source": [ + "## 3. Power Spectral Density (PSD)\n", + "\n", + "**Power Spectral Density** normalizes the power spectrum by the frequency resolution (Δf = fs/N):\n", + "\n", + "$$S(f) = \\frac{|X(f)|^2}{f_s \\cdot N}$$\n", + "\n", + "This normalization gives PSD the units of **µV²/Hz** — power per unit frequency. The key advantage: PSD values are comparable across recordings with different durations or sampling rates.\n", + "\n", + "**Important property**: The total power in a frequency band equals the **area under the PSD curve** in that band:\n", + "\n", + "$$P_{band} = \\int_{f_1}^{f_2} S(f) \\, df$$\n", + "\n", + "This is what `scipy.signal.welch()` computes, and it's the standard representation in EEG analysis." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "87b57163", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Function compute_psd_fft defined ✓\n" + ] + } + ], + "source": [ + "def compute_psd_fft(\n", + " signal: NDArray[np.floating],\n", + " fs: float,\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"Compute Power Spectral Density using FFT (periodogram).\n", + "\n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.floating]\n", + " Input signal in the time domain.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + "\n", + " Returns\n", + " -------\n", + " frequencies : NDArray[np.floating]\n", + " Array of positive frequency values in Hz.\n", + " psd : NDArray[np.floating]\n", + " Power Spectral Density in µV²/Hz.\n", + " \"\"\"\n", + " n_samples = len(signal)\n", + " \n", + " # Compute FFT\n", + " fft_values = fft(signal)\n", + " frequencies = fftfreq(n_samples, 1 / fs)\n", + " \n", + " # Keep only positive frequencies\n", + " positive_mask = frequencies >= 0\n", + " frequencies_pos = frequencies[positive_mask]\n", + " fft_pos = fft_values[positive_mask]\n", + " \n", + " # Compute PSD: |X|² / (fs * N), multiply by 2 for one-sided\n", + " psd = (np.abs(fft_pos) ** 2) * 2 / (fs * n_samples)\n", + " psd[0] /= 2 # DC component not doubled\n", + " \n", + " return frequencies_pos, psd\n", + "\n", + "print(\"Function compute_psd_fft defined ✓\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "3e75d3d1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note the characteristic 1/f trend (dashed line) — lower frequencies have more power.\n", + "The peaks at 6, 10, and 22 Hz stand out above this 1/f background.\n" + ] + } + ], + "source": [ + "# Visualization 2: PSD of EEG-like signal with 1/f trend\n", + "\n", + "duration = 5.0\n", + "fs = 256\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create EEG-like signal with neural oscillations + 1/f noise\n", + "np.random.seed(42)\n", + "alpha = generate_sine_wave(t, frequency=10, amplitude=2.0)\n", + "beta = generate_sine_wave(t, frequency=22, amplitude=0.8)\n", + "theta = generate_sine_wave(t, frequency=6, amplitude=1.0)\n", + "\n", + "# 1/f noise (pink noise approximation)\n", + "white_noise = np.random.randn(len(t))\n", + "pink_noise = np.cumsum(white_noise) * 0.02\n", + "\n", + "eeg_signal = alpha + beta + theta + pink_noise\n", + "\n", + "# Compute PSD\n", + "frequencies, psd = compute_psd_fft(eeg_signal, fs)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "\n", + "ax.semilogy(frequencies, psd, color=COLORS[\"signal_1\"], linewidth=1)\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"PSD (µV²/Hz)\")\n", + "ax.set_title(\"Power Spectral Density of EEG-like Signal\")\n", + "ax.set_xlim(0, 50)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# Add 1/f reference line\n", + "f_ref = np.linspace(1, 50, 100)\n", + "ax.plot(f_ref, 0.1 / f_ref, \"k--\", alpha=0.5, label=\"1/f reference\")\n", + "ax.legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Note the characteristic 1/f trend (dashed line) — lower frequencies have more power.\")\n", + "print(\"The peaks at 6, 10, and 22 Hz stand out above this 1/f background.\")" + ] + }, + { + "cell_type": "markdown", + "id": "7e200ebc", + "metadata": {}, + "source": [ + "## 4. The Periodogram and Its Limitations\n", + "\n", + "The PSD we just computed is called a **periodogram** — a single FFT-based estimate. While simple, it has serious limitations:\n", + "\n", + "1. **High variance**: The periodogram is a \"noisy\" estimator. Even for the same underlying signal, different noise realizations produce wildly different estimates.\n", + "\n", + "2. **Inconsistent**: Adding more data doesn't reduce the variance — the estimate doesn't converge!\n", + "\n", + "3. **Spectral leakage**: Sharp edges in the analysis window spread energy to nearby frequencies (as we saw in A02).\n", + "\n", + "Let's demonstrate the variance problem:" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "40e3f9d5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Notice how different each periodogram looks, especially away from the 10 Hz peak!\n", + "This high variance makes single periodograms unreliable for quantitative analysis.\n" + ] + } + ], + "source": [ + "# Visualization 3: Periodogram variance — multiple realizations\n", + "\n", + "duration = 2.0\n", + "fs = 256\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Same underlying signal structure\n", + "alpha_freq = 10\n", + "alpha_amp = 2.0\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "\n", + "# Generate 8 realizations with different noise\n", + "n_realizations = 8\n", + "for i in range(n_realizations):\n", + " np.random.seed(i * 10) # Different seed each time\n", + " \n", + " # Same oscillation + different noise\n", + " signal = generate_sine_wave(t, frequency=alpha_freq, amplitude=alpha_amp)\n", + " noise = np.random.randn(len(t)) * 0.5\n", + " signal_noisy = signal + noise\n", + " \n", + " # Compute periodogram\n", + " frequencies, psd = compute_psd_fft(signal_noisy, fs)\n", + " \n", + " # Plot with transparency\n", + " ax.semilogy(frequencies, psd, alpha=0.5, linewidth=1, label=f\"Trial {i+1}\")\n", + "\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"PSD (µV²/Hz)\")\n", + "ax.set_title(\"Periodogram Variance: 8 Realizations of the Same Signal\")\n", + "ax.set_xlim(0, 50)\n", + "ax.axvline(alpha_freq, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7, label=\"True α (10 Hz)\")\n", + "ax.legend(loc=\"upper right\", fontsize=9, ncol=2)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Notice how different each periodogram looks, especially away from the 10 Hz peak!\")\n", + "print(\"This high variance makes single periodograms unreliable for quantitative analysis.\")" + ] + }, + { + "cell_type": "markdown", + "id": "63f110d2", + "metadata": {}, + "source": [ + "## 5. Welch's Method\n", + "\n", + "**Welch's method** solves the periodogram's variance problem through averaging:\n", + "\n", + "1. **Divide** the signal into overlapping segments\n", + "2. **Window** each segment (e.g., Hann window) to reduce spectral leakage \n", + "3. **Compute** periodogram of each segment\n", + "4. **Average** all periodograms together\n", + "\n", + "Key parameters:\n", + "- `nperseg`: Segment length — controls frequency resolution (Δf = fs / nperseg)\n", + "- `noverlap`: Overlap between segments — typically 50%\n", + "- `window`: Window function — Hann is a good default\n", + "\n", + "**Trade-off**: Longer segments → better frequency resolution but fewer segments to average → more variance." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "8e853f55", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Function compute_psd_welch defined ✓\n" + ] + } + ], + "source": [ + "def compute_psd_welch(\n", + " signal: NDArray[np.floating],\n", + " fs: float,\n", + " nperseg: Optional[int] = None,\n", + " noverlap: Optional[int] = None,\n", + " window: str = \"hann\",\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"Compute Power Spectral Density using Welch's method.\n", + "\n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.floating]\n", + " Input signal in the time domain.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " nperseg : Optional[int]\n", + " Length of each segment. Default: fs * 2 (0.5 Hz resolution).\n", + " noverlap : Optional[int]\n", + " Overlap between segments. Default: nperseg // 2 (50%).\n", + " window : str\n", + " Window function to apply. Default: \"hann\".\n", + "\n", + " Returns\n", + " -------\n", + " frequencies : NDArray[np.floating]\n", + " Array of frequency values in Hz.\n", + " psd : NDArray[np.floating]\n", + " Power Spectral Density in µV²/Hz.\n", + " \"\"\"\n", + " if nperseg is None:\n", + " nperseg = int(fs * 2) # 2 seconds → 0.5 Hz resolution\n", + " if noverlap is None:\n", + " noverlap = nperseg // 2 # 50% overlap\n", + " \n", + " frequencies, psd = welch(signal, fs=fs, nperseg=nperseg, \n", + " noverlap=noverlap, window=window)\n", + " return frequencies, psd\n", + "\n", + "print(\"Function compute_psd_welch defined ✓\")" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "254cc82a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Welch's method produces a much smoother, more reliable estimate!\n" + ] + } + ], + "source": [ + "# Visualization 4: Periodogram vs Welch comparison\n", + "\n", + "duration = 5.0\n", + "fs = 256\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create noisy signal with alpha oscillation\n", + "np.random.seed(42)\n", + "signal = generate_sine_wave(t, frequency=10, amplitude=2.0)\n", + "noise = np.random.randn(len(t)) * 1.0\n", + "signal_noisy = signal + noise\n", + "\n", + "# Compute both estimates\n", + "freq_periodo, psd_periodo = compute_psd_fft(signal_noisy, fs)\n", + "freq_welch, psd_welch = compute_psd_welch(signal_noisy, fs, nperseg=256)\n", + "\n", + "# Plot comparison\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 8), sharex=True)\n", + "\n", + "# Periodogram\n", + "axes[0].semilogy(freq_periodo, psd_periodo, color=COLORS[\"signal_1\"], linewidth=0.8)\n", + "axes[0].set_ylabel(\"PSD (µV²/Hz)\")\n", + "axes[0].set_title(\"Periodogram (single FFT) — noisy estimate\")\n", + "axes[0].set_xlim(0, 50)\n", + "axes[0].axvline(10, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Welch\n", + "axes[1].semilogy(freq_welch, psd_welch, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"PSD (µV²/Hz)\")\n", + "axes[1].set_title(\"Welch's method (averaged) — smooth estimate\")\n", + "axes[1].set_xlim(0, 50)\n", + "axes[1].axvline(10, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7)\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Welch's method produces a much smoother, more reliable estimate!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "c5a5ffd0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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vvfSSd8UVV3hr1671fv3rX3v333+/96EPfcg9xqmnnuq1trYO+7vr1q1z9/vGN77hjcT3vvc993v27zmahoYGd9/Vq1cf9b72WhrswIED7vV1+eWXD/n6uuuuuwZc/6UvfcldP23aNPfcEZWVlV56err3yU9+csD9I6+lb3/72wOuf/jhhw/7N+7cudNdd8cddxzTa/df//Vf3e+/9tpr3lh55ZVXvLy8PG/u3Lnerl27ov69008/3cvNze17vWzYsMFt6+c+97lhXzf2NyFa0b7uB+/f4Tz44IPuvrfddtuQtxcVFbm/BdGw94m9jh566CHvgQce8G6++WYvNTXVmzx5srdly5YB983JyfGKi4uHfJxbb73VbdPbb7991OeMvO6Otrz44ovDPsb777/vzZgxwyspKfF27NgR1b8VAJB4yIwCACQF6yVj5UURVnpnGQGW2TFcJlV/1lvlkksu0VNPPeWyAmzGN+tNY+erf/mXf3lYpoBlq1jGjGXR9G8wbJkHlnkymGXqWKaJZdJEyokGs/I6y4z6yle+clh2gpVzWWmaZbZYlovd/utf/9qVe1m2VX+W3TKSJsm33XZbVH1pjGXXRMOygn7zm98MuM4ygP7u7/7OzfhlTahtfbRYnynrOTVceeZQ/w4rk7OMEmt6faQePv0bP1uWjmVQWZbOaaed5n5/MMtQGVzqZ2P+r//6r7r++uv7MtuMlZ1ZVpRlJw1mmVNf+MIXBlxnmVWLFy/WI4884sr9huuLNZLXbiSLzEryli9fHvUYRzJlLGsrGrYPHn/8cXdp7wPL+jsSez9Y+aC9biIZSVZGae9Vy/SxcT7eptxWPhitaPo8RTKH+v8t6s9ec0NlFw3FMr36s+wyy4yy97u9viyrsv/zDpexGJkwINrntcy4n/70p0PeZhmnQ2VCRVh2qm2fZWHZe9LejwCA5EQwCgCQFIY6USwsLBxyWnM7+bYTrsHKy8tdMMpKtSwYZWVRpn/Z3mDWn6g/6wNlpWyDWcmeBRKsBM8CEFZGZKVRdoIZCU5Ens/ua8uR/p3Wf8jK66yZ92B2Imz3a2hoGHa7B/+7bRkPVqL37W9/2wWqRisYZaWV1u/ISrKeeeaZqEqRrJTPAmIW7LExs15jNiZ2Im09uPqPofUAs+bP1iR6cO8eK7sazF5bg2cMjAQKhnqd2m1WcjmYbddQQQ0bK3ut1NTUuNfSUEby2rUyVgvuWFnVP//zP+sDH/iAK1m16y3YeSQW4Ljzzjs1EvZvtV5YRwtGWQmjsQBef1ayZ+NmJXwWqDoeF154oUZTJGjW2dk55O1WDmt/W47VZZdd5oKgVrJrjxV5ndnzHuk5+2/b0Vgwcrj9MlSftP69raxPlpXoWRP1/mWUAIDkQzAKAJAUhgoAHS/LPjIWOBku02FwcGG4Ez47gbQ+PZaNYn1zLDPE+sFYkOMPf/iDCypFns9OtC17ZSgjyVqJlk1Bf7QG4/3389H68ByJZbJYb6JoGoxHw/ZdpFm8BYuGamw+nMgMZxaAtMexsbFeUBaMsfGxE33r23T22We7PmSWsWbjZP8Gy0iygKE950hei8PdFq4Yi81r1wJztg+sgb9l3lnAwYJS1n/JAofWe204FliJZtut55EFkaz/0de//vVhX9/9AyiWgWPbGOn/FGFN/22brJH58QajIj3domGvgaM12Y/0w7LXzWAWLLIstaH6Oo2EZRtZRp5lH0WC6va8ll1nzzF4vCPbMpJeXSNlrwEbCwuS/fCHP3TvSQBAciMYBQDAIJYxZE3DB2dHVVRU9GWkGMuWsVIYa1q9YsWK496PFqiyk/DIibg9tmU6WEaKzQpozxdtxoYFdOzEeOvWrYfdZmVkVnoWbRNzazI+XFnOYJbNcjwzlFkZj2Xk2Ax2x8uCela2ZPvCgkLHUhJkmUUWJLHFTqitfNPG47/+67/cdQ8//LDLhrIStlWrVg343b//+7/XWLIMvaGCC/Y6tdnxjhQUPJbXrt0vcl+badAaqtv+sOCoBayOlc0gZ2WglslkAS4L6kUzC6Btg5WjDc4+s9e1ZcLZfSwLZ8mSJce8bZGJA6Jhpa8WSDsSKyO0IOZQ5cFWcmivMQt2Hg8LOqWmprrMzwh7TPtbYEEqy2rrz7bF/qaNZFKDkbLXiQUa7bJ/2TIAIHkN3UgAAIAkZyfF/Vk/J8sKsRO5SBnNZz7zGXdpJ89WgjJURtFwpTGDWUnVYNb7xkRKCW1GNzuZteycSJlVf3YiG3kcy8yxE3Lrq/Pkk08OuJ/N1na0qeAH94yy3jnRLNaLKBpDlUfa9ttz2eXxztBmGRiWfWHBBMtiGmkgysrLBvfQsaBHJBgT2f5IJtPg7B/LJBrJrGjHwsbw+9///oDrrFeUvTZs/w3XL2qkr92hZk6zTDPLSrLA5kheS0Ox57csnu985ztRBaIiJXo2HoNL9CIsUBi53/GI9nVvy3XXXRdVwPmjH/2odu7c6QKZ/X33u991vcasNHdw0HFwUHmo94+xckrLYLv00ksHBCkj423P0Z9tgwWPI7ePBZvh0QK4FnD85je/OWbPAwCYWMiMAgBgEAs2WfnSvn37dNFFF2nv3r0ugGMZDTZFfIT1PLFp1L/61a+63jl2EmmlLlZiZlO4W18Uy1IZPM36UKzptJXqWQaDPYadnEeykSIn3HbybdkFloFjQRE74bbglJ3M2wmlZefYfSPZGXbiZwE069OyevVqV0JmARLbLitXs4yUWPWMspNlyzqyfWj/Xgui2XZFMjfWrFlzWB+hSGNkO5E3FmSKsN+JZHy88cYbLhBn+8VK7azEbjDrz3Wk5taWXWKPZ0Edy6yxLCPLJrMTa2scbvvUWOaaPY6dzNs222vHggEWlLOxsdfBWLFsFguaWvaPvXYsCHXvvfe6bbXX5ZGM5LVr97MsKssys6CeBUxs31uQ067rn4FzLKy01B7/SMGzwWNjz28ZbxZ8GYq9tu3x7P1iDfGHK0Uc755RxsbMSj7tNWNBbtuntr/tb471TItkXkZY7zh7/fcPeNqYWC80+1swc+ZMFxS0ny0bzAKw/f9ORf4dNsa2v+y9YX3P7H1k5Zb23j5SqeXxsGC4TR5hWVcXXHCBG4/+LHvzeAPPAIAJKtbT+QEAMJZsGnf7uLNp3Qe7/vrr3W39nXfeeW768p07d3rXXHONl5+f72VlZXmrVq3y1q9fP+RzPP30097ll1/uFRYWuqnVy8rKvAsuuMD77ne/67W3t/fdzx7XHn8oNkW73WbTr9tjlJaWepdeeqn3zDPPHHbfvXv3emvWrPHmzp3rpaWleZMmTfKWLVvmfelLX/I2b9484L42xfuHPvQhN7W7LZdccom3ceNGb8WKFd7ixYu9WPk//+f/eGeddVbfv9e2beXKld4///M/e11dXYfd38bvSFPJ33HHHYeN+ZEWG98jqa2t9f7qr/7KO/nkk72CggIvPT3djd8NN9zg9ml/L730knfuued6eXl5Xm5urnut2HVHen0N9++zbR9sqN+JvJbeeust76KLLnL7z577wx/+sPfuu+8OuK/9Wwfvo5G8dm3bPv7xj3uzZ8/2MjMz3b9z+fLl3v/9v//Xa2tr88bbrbfeetTx7b888MADR93H423Hjh3eJz7xCbff7bVl798f/vCHQ97Xxnrw6+ixxx5zfx+mT5/uZWRkuMdYuHChd8stt3hVVVVDPo69r771rW95CxYscH837G/M5z73Oa+mpibq7bZtmTdv3rC322vMtvXFF1+M6n071HsBAJAcfPa/WAfEAACIFzabnWUZHU/fo3hnWSOWwXPGGWe4cjJMPJaxZMvzzz8f600BAAAYMXpGAQCQwAb3PTLWZ8h6Al1yySUx2SYAAAAkN3pGAQCQwKy31Nlnn60TTzxRoVBIL730kh588EHXo8r6KQEAAADjjWAUAAAJzBpt//rXv9Z///d/q6OjQ9OmTdMXv/hF/cM//MMRG3gDAAAAY4WeUQAAAAAAABg39IwCAAAAAADAuKFMb4Ss38b+/fuVm5srn883NqMCAAAAAAAQBzzPU3Nzs8rKyuT3j05OE8GoEbJA1IwZM0Zl5wMAAAAAAEwEe/fu1fTp00flsQhGjZBlREUGIS8vb1QGAceepVZTU6OioqJRi84CEx3vC2AgL9Sjlv0vqq2tTVPmXqRAShq7KMbj0XrgJbeePfVs+fwcisYSnxkA7wsgGg0NDZo1a1ZfPGQ0cAQwQpHSPAtEEYyK/QGUzQxl40AwCuB9AQwX/PA3ZyvgD392E4yK/XgEWsKzOGbn5RGMijGOpQDeF0C0nxdmNFsVkU4CAAAAAACAcUMwCgAAAAAAAOOGYFSU1q5dq/Lycq1cuXJsRwQAAAAAACCB0TMqSmvWrHFLU1OT8vPzx3ZUAADAqLAG2dnTVqm1upr+RHEyHjnTPxjrzQAAADFGZhQAAAAAAADGDcEoAAAAAAAAjBvK9AAAQMLyvKA66jZJrU3yvEK+h4uD8eisq3Dr6ZPL5fMFYr1JAAAgBsiMAgAAicvzFGyvkbrr3DpiPx497dVuYTwAAEheZEYBAICE1h0M6WB7UHv2NbkG2pGYlF1GwlOerQ34Wf1+9gbe1zv67xx2W//fGfBzZL33lsMeL/IbA2M3Q4XVvCGCbUPfb4jrhrhxyN8d4saRbIvPC2puqFll+RnKHuL3AABAciAYBQAAEtb+pk5V7GtSZ09If6quVUiUhcWSX0HlZHSpurVLO/z1OnvuFPl9vphuEwAAGH8EowAAQEJ68/1GPbWlUiemhZQW8GnhlGzJHw5G+XoDIO7/vvBleN0XvgyvHrrPoN8ZcFv/3xnweOGVwx/PN/Dnvvv03tL/d/p+Hvg7/berv4FxnX7/xiF+acjfH/J+h99zqMccLqR0aJt8kheUatJV1dKpddsPam9jlz6ytFRZaQQJAQBIJgSjAABAQukJhfTUlhq98X6T/PJUmJWqmdk+lZ5QokBKWqw3L6l5oR61+LI1KTNFb+/zaVtNm3746h597KSpmpafEevNAwAA44QG5gAAIGE0dfTox3/c5wJRlpBz/rxCLSnJUcBPKVi8sAyzqXkZuvED0zU5M1UNHT26//X39cc9DUP2mgIAAImHYBQAAEgIu+vbXZbN+40dykjx61MrynTu3IK+8jrEl9LcdH3ujBlaVJytoOfpiS01enBDpevvBQAAEhtlegAAYEKzbJrX9zTqt+/UKORJJTlp+sTJUzU5K83dljX1XLXW1Eg++hLFnC+g7LLz+tYzU336xElT9eruBv1uW602VbaosrlTHz9pqopz0mO9tQAAYIwkXWbUli1btHLlSp1wwglatWqVDhw4EOtNAgAAx6grGNIjm6r01NZwIGppaY4+e9oMF4gylhXl86e4wAcZUrEXGQ+3RBrC+3w6c3aBblg5XbnpAdW2dutHr+3Vhv1Nsd5cAAAwRpIuGLV69Wp99atf1bZt2/ThD39Yf/d3fxfrTQIAAMegvr3b9Rp6e3+zrCXUJQun6M+WlyotJekObxLCrIJMrT5jpuYWZqo76OmhjVV6vKJa3UHK9gAASDQT4mht+/btLoh00kknKSUlRUuXLh3yflu3btVFF12k7OxslZaW6rbbblNXV1ff7VVVVXr33XddEMr85V/+pR555JFx+3cAAIDR8V5tq+sPZSVd2WkBXXfKNJddMzj7yfOC6qyvkNrec+uILRuDjroKtww1HjnpKfrMKdN03rzJrgH9G3sbdf8f31d9W3dMthcAACRxz6jNmzfriSee0GmnnaZQKOSWwerr613Z3YIFC/Twww9r3759uuWWW9TW1qZ77rnH3ef999/XjBkz+n4nJydHGRkZOnjwoAoLC8f13wQAAEbOekC9tLNez717UDbv2rS8dNdfKD8zdbhfUE9bpdTV6tYRY248wi0S0iedIBdxGsTv82nV/ELNyM/QwxsrdaCpU/e9ukcfWVaiRcU547/NAAAgOYNRV155ZV820w033KA33njjsPvcd999ampqcplOkydPdtf19PTo5ptv1u23366ysrJx324AADB6bJa1RzdVqaKqxf28YlqeLl9cpNTAhEj0xggtKMp2ZXv//XalmyHxP//ngM6aXaAPLihUwOoyAQDAhDUhglF+/9EPMp966ildeOGFfYEo87GPfcyV9z3zzDMuiDV9+nTt3bu37/aWlhZ1dHQcMSuqs7PTLREW8DLDZWhh/Nj+t2/IGQeA9wUSX21rl375dqVrbm1xiMsWTdEp0/JkVXlH+hzwej8rLCPH7ufjszum+saj93PcpyMfS1lD8xtOLdPv3j3oZkx8eVe93m9o10eXlyg3fUIcxsY1jqUA3hdANMbinDthPsWtX9SNN9444LpJkyZp6tSp7jZTUlKi+fPn67HHHnOZVvfff7+uvvrqIz7uXXfdpTvvvPOw62tqalwgC7F9QzQ2NrqD2mgClkAy4H2BRLSzsUe/39OurpCUneLTxbMzVZrW6T6Lj8oLymttVWdHh7u/PzBMOR/Gh/WJam11q602fr5AVL+2okDK92Vo3d4O7W7o0L2v7NFFszI0LSdhDmVjgs8MgPcFEA077x5tCfMJbj2jLPg0WEFBgerq6vp+vvfee3X99dfrb/7mb1ym1C9+8YsjPu5XvvIV13uqf2aU9Z0qKipSXl7eKP8rMBLuG1Wfz40FwSiA9wUST8jz9MJ79frDrmb388xJGbp2eYlrch0tL9Sj1u5s15qosKhIgZS0MdxiRDMebT3Zbj2rqEg+f/RjWVwsnTCtS/+9oUrVLV16/L12XTB/ss6ePemwxvWIDsdSAO8LIBppaaN//JQwwahoLVmyZMieU8NJT093y2AW/CAAEnt28MlYALwvkHjau4N6aEOl3q1tcz+fNnOSLlk4ZcS9gjz5w4EKPi/iQt949B5L+UaY2VyUm6GbTp+hJyqq9db+Zv1+e532NnTommWlykqLLssKA3EsBRyO9wUw0FjEPhKmtskyoIZKHbOMqf59pI7V2rVrVV5erpUrVx73YwEAgOFVNXfqR6/udYGoFL9P1ywrcY3KaVoNkxbw6+qlJbpqSbF7fdjr5Iev7tG+RtonAAAwUSRMMGrRokV9vaEiLDh14MABd9vxWrNmjSoqKrR+/frjfiwAADC0jQea9f9e36u69m5NykzRZ0+brhPLjqMs3hdQVunZUt6KqPsTYQz5Asqeeo5bjmc8LGvhlOn5+uxpMzQ5M1UNHT26//W9en1PQ1+DdAAAEL8SJhh12WWX6dlnn1VDQ0Pfdb/61a9cOtnFF18c020DAABHFgx5enprjR7cUKnuoKd5hVn6/OkzNTUv47h2nQUtfIE0yZ9KX6E4EBkPt4xCn6epeen6/BkztLg4W0FPenJL+DXU2cOMxwAAxLMJ0TOqra1NTz75pFvfvXu3ayL+4IMPup/PO+8818B69erV+v73v+9mx7v99tu1b98+3Xrrre76srKyUSnTsyUYDB73YwEAgENaOnv0q7crtau+3f189pwCfXBBofw0pUYUMlID+vhJU/Xq7gb9blutNlW2qLK5011XnHN4308AABB7Pm8C5DLv2rVLc+bMGfK2devW6fzzz3frW7Zs0Re+8AW98sorys3N1XXXXadvfvObo9r53QJh+fn5rgSQ2fRiPwNMdXW1iouLaSYP8L7ABGV9fv7rrQNq6uhRWsCnjywtUXlp7qg9vucF1VG/TY0NDSqadaoCgdRRe2wc23h0Nbzr1tMmLZBvlEsn99S367/fPqDmzqBSAz5dWV58fGWeCY5jKYD3BRANq0CL9OkerTjIhMiMmj17dlT1/4sXL3alegAAIP69+X6jnthSo56Qp8KsVH3i5DHIZPE89bTuk7pa3TpizPPUbeNhwaj8+dLxV+oNMLMgU6vPmKmHNlZqx8F2PbyxygWoLl1UpNRAwnSnAABgwuNTGQAAjKueUEiPb67SY5urXSBqYVG2Pnf6DEqqMCpy0lP0mVOm6bx5k12s6433m3T/H99XXVs3exgAgDhBMCpK1i+qvLxcK1euHNsRAQAggVk53o//uM8FCCxQsGp+ocuIsr4/wGixfmP22vrzU8qUlerXgaZO/fDVPdpa3cJOBgAgDhCMitKaNWtUUVGh9evXj+2IAACQoHbXt7uAwPuNHcpI8evTK8pc9gqNyjFW5k/JdmV70/Mz1NET0n/+zwE9806tm70RAADEDsEoAAAwpqzv42u7G/ST9e+rpSuokpw0ff6MGVpQlM2ex5jLz0zVX3xguk6fNcn9/PKuev30jX1q7uxh7wMAECMEowAAwJjpCob0yKYqPbW1RpaMsqw0R589bYYmZ43eTLfA0aT4fbpsUZE+dmKp0gN+l6V33yt7tPNgGzsPAIAYIBgVJXpGAQAwMvVt3br/9ff19v5m+X3SJQun6KPLS5WWwuEHYmNJaa4+d8YMl51nWXqWIfWHHXUKMdMiAADjyudZ7jyi1tTUpPz8fDU2NiovL489F0OhUEjV1dUqLi6W38+JDcD7AvFke22rHtxQqfbukLLTArp2eanmFGaN+3bYYU6wu021tbUqKpmuQIBG6bFk4+EFO9y6L5Ahn8/a2McmY++Jimq9tb/Z/bxgSpauWVaqrLTken1wLAXwvgCi0dDQoIKCglGNg3AGDwAARjXY8OKOOv38T/tdIGpaXro+f/qMmASijAU7/CmZkj89ZoEPHD4etsRyPNICfn1kWak+vKTYlfC9W9um+6y5fkM4UAYAAMYWwSgAADAqOntC+uVbB/TsuwdladcrpuW5xtHWQBqIRyum54d7mGWmqrGjR//+x716fU+DC6oCAICxQzAKAAAct9rWLv2/1/ZqS3WrAj7pyvJifXhpiVIDsT3U8LyQuhq3S+173Dpiy8ags+Fdt8TLeEy17L0zZmhxcbaCnvTklhpXYmrBVQAAMDYIRkWJBuYAAAxta3WLfvTaXtW0dik3PeCyoU6dkR8fu8sLqbtlj9R5wK0jPsbDjUkcjUdGakAfP2mqa7JvzfY3Vdpreo+qWzpjvWkAACQkglFRWrNmjSoqKrR+/fqxHREAACYIm4HsuXcP6j//54DLIplVkKHPnzFTMyZlxnrTgBGzHlZnzi7QX6ycrrz0FNW2drsg69v7m9ibAACMMoJRAABgxNq7g3rgzf36w4469/NpMyfp+lOnKzc9hb2JCW1mQaZWnzlD8wqz1B309PDGKv16c5W6g/GTyQUAwERHMAoAAIxIZXOnfvjqXjcDWarfp2uWlejyxUUKWH0TkACy01L056eU6fx5k2Wv6j+936T7X39fdW3dsd40AAASAsEoAAAQtY0HmvVvr+9VfXu3JmWm6C9Pm6ETy/LYg0g4fp9PF8wvdEGprFS/Drgg7B7XIw0AABwfglEAAOCogiFPT28NzzJmpUtWwvT502e6mciARDZ/SrZWu15oGeroCbkeac+8U+veEwAA4NgQjIoSs+kBAJJVS2ePfvbGPr26u8H9fM6cgnC2SFog1psGjIv8zFTdsHK6Tp81yf388q56/cef9qmHgBQAAMeEYFSUmE0PAJCM9jV26Iev7dWu+nalBXz6+ElTdeEJU1wJ04TgCyiz+ANS7jK3jtiPR1bJaW6ZaOOR4vfpskVF+tiJpe69sLOuXdso2QMA4JgQjAIAAENqaO/Wj//4vpo6elSYlaqbTp+h8pKcCbW3fD6f/Kk5UiDLrSM+xsOWiToeS0pz9YGZ4QypDQeaY705AABMSASjAADAkN7e36zukKeyvHR97vQZKs6hPxRglk/NdZfbatrU3h1kpwAAMEIEowAAwJA2VYazPj4wM18ZqROrpCrC80Lqatopdbzv1hEP47HDLRN5PEpy01WSk6ag52lzJbPrAQAwUgSjAADAYaqaO1Xd0qWAz6dFxROrNG8AL6TuZgtG7XPriP14WHDQBQgn+Hgs682O2kipHgAAI0YwCgAAHCZygr2gKEuZEzQrChiPYJQ1929s72ZnAwAwAgSjAADAAJ7n9ZXoRU64AQw0KTNVswoy3frG3vcLAACIDsGoKK1du1bl5eVauXJltL8CAMCEtK+xU/XtPW76+hOKsmO9OUDcNzLfsJ9gFAAAI0EwKkpr1qxRRUWF1q9fP6IdDADARC3RW1ico7QAhwrAcMpLchTwSVUtXa7PGgAAiA5HmAAAoE+of4le6QRuXA6Mg6y0gBb0Zg9uoJE5AABRIxgFAAD67KprV0tXUJkpfs2bQokeEG2pnmUUWjAXAAAcXUoU9wEAAElWoldemqMUv08Tns+vjKJT1eqrdeuI/XhkFp/at54IrK9aeopfjR092lPfodmTw03NAQDA8BLjKAAAABy3npCnLVUtbn1paWLMoufz+RVIy5NSctw64mE88t2SKOORGvC73lFmw4GmWG8OAAATQmIcBQAAgOP2Xm2r2ntCyk0PkN0BHEOpXkVliwvqAgCAIyMYBQAAnI2V4ayoJSW58vsSoERPkueF1N28W+rY79YR+/Hoat7tlkQaDyvNsyCuBXO317bGenMAAIh7BKMAAIC6giG9Ux0ORi3rzfJICBb8aHpP6tjr1hEH49G43S2JNB4WvI2Utm7YH+67BgAAhkcwCgAAaFt1q7qCngoyUzQtP509AozQ8rJwMOqdmlZ1dAfZfwAAHAHBKAAAoI2V4WwOy+7wJUiJHjCepuamqyg7LTwRQG+WIQAAGBrBqCitXbtW5eXlWrlyZbS/AgDAhNDeHdS7NW2JV6IHjCML4kbeP5TqAQBwZASjorRmzRpVVFRo/fr10f4KAAATwtbqFgU9T8U5aSrJpUQPON5Z9XbWtaupo4cdCQDAMAhGAQCQ5DYeCJcURRowAzg2BVmpmjEpQ56kTb2lrwAA4HAEowAASGItnT3acTBSopcT680BEiY7asMBglEAAAyHYBQAAElsc1WLy+KwGfQmZ6Up4fj8yphyspSz2K0j9uORWbTCLYk6HktKc+X3SQeaOlXT0hXrzQEAIC4l5lEAAACIyqbe7I1ELdHz+fwKpBdIKXluHfExHrYk6nhkpwU0f0qWWyc7CgCAoSXmUQAAADiqhvZu7WnokC+Bg1FALCyfmucuNx5okudZ7iEAAOiPYBQAAEkq0mB5VkGm8jJSlIg8L6Tulvelzkq3jngYj71uSeTxWFicrbSAT/XtPdrb0BHrzQEAIO4QjAIAIMln0VvW23A5IXkhdTVuk9p3u3XEfjw6G7a5JZHHIy3g1+KS8IQAlOoBAHA4glEAACQha6xc2dzpGi2X9540Axj9WfU2V7YoGKJUDwCA/ghGAQCQxCV68wqzlJUWiPXmAAlnzuQs18y8rTuo9w62xXpzAACIKwSjAABIMtZQeWPvLHoJXaIHxFDA7+ubGGDD/ibGAgCAfghGAQCQZA40d+pgW7dS/D4tKqZEDxjrUr2tNa3q7EncHlkAAIxUUgajPv/5z2vatGny+WwyawAAkkskK2phUbbSU5LyUAAYF9Py0zU5K1XdQU9bq8MTBgAAgCQNRn3605/Wm2++GevNAABg3IU8T5sqk2AWPSAO2BefkewoZtUDACDOglHbt2/X6tWrddJJJyklJUVLly4d8n5bt27VRRddpOzsbJWWluq2225TV1fXiJ/v3HPPVUlJyShsOQAAE8vehg41dfS4jKj5U7KU8Hx+pRcul7JPcOuI/XhkFJ7olmQZj0gw6r3aNrV09sR6cwAAiAspigObN2/WE088odNOO02hUMgtg9XX12vVqlVasGCBHn74Ye3bt0+33HKL2tradM8998RkuwEAmKgleouLs5UaSPxggM/nV0rGFCk15NYRB+OROSWphqEwO82V6+1r7HRZiafPmhTrTQIAIObiIhh15ZVX6sMf/rBbv+GGG/TGG28cdp/77rtPTU1NeuSRRzR58mR3XU9Pj26++WbdfvvtKisrc9etWLFCe/bsOez3Tz31VD399NNj/m8BACBeBUOeKqoo0QPG2/KpedrXWKMNB5oIRgEAEC/BKL//6N9UPvXUU7rwwgv7AlHmYx/7mCvve+aZZ1wQy4x2L6jOzk63RFhAzAyXwYXxY/vfpidnHADeF4iOlQm1dgWVlerX7EkZSfH30/NC6m49IK+zXsHg5Hg59ElaNh7B9iq3HsgsSZpstfLiLD39jlx2VE1zh8uWigccSwG8L4BojMUx44Q5IrN+UTfeeOOA6yZNmqSpU6e628bKXXfdpTvvvPOw62tqatTR0TFmz4vo3hCNjY0uIBVNQBNIBrwvcCRv7Gl3l3PyAqqtrUmOneUF5TX8SZ0dHapJKZA/kBrrLUpuXlBq7M2Azz9V8gWULKbnBLS3OajX3qvSytJ0xQM+MwDeF0A07Lw7aYNR1jPKgk+DFRQUqK6ubkSPZVlUzz77rFufPn26LrjgAv3Hf/zHkPf9yle+4npT9c+MmjFjhoqKipSXlzfifwdG9wDKZqmxsSAYBfC+wJH1BEPatXm3W185p0jFBZlJscu8UI9au7Pls949RUUKpMRHRkqysvFo68l261lFRdeIB2sAAEuQSURBVPL5J8yh6HE7padZezdXa0ezp8uXFbljmFjjWArgfQFEIy1t9I+fRnwEsHHjRv3ud7/T66+/rgMHDqi9vV2FhYVauHChm6Xu0ksvdbPdxbOf/OQnUd83PT3dLYNZ8IMASOzZgRxjAfC+wNG9V9Omzp6Q8jJSNGtylvxxcCI8Hjz5wyf9fF7E13j0Hkv5kiizubw0V09sqVFdW7cqW7o1LT9D8YBjKYD3BXA0YxH7iOoRrQzqpz/9qU455RSdeOKJ+uY3v6nq6mqVlJS4IFRKSoqee+45ffzjH3dlc5/97Ge1a9euUd1Qy4AaKjXMMqb695EaK2vXrlV5eblWrlw55s8FAMBYzaK3tDQnaQJRQDxJT/FrUXH4C9sN+8PvRwAAklVUmVFLlixRV1eXrr/+ev3iF7/QokWLhrxfW1ubm7Huv/7rv7R06VL96Ec/0qc+9alR2VB7zsG9oSw4ZdlZw23PaFqzZo1brEwvPz9/zJ8PAIDRYhlR79S0uvVlU3PZsUCMLC/L08bKFm2sbNbFC6co4CcwDABITlEFo7761a/qE5/4xFFTs7KysnTNNde4xTKj9u3bN1rbqcsuu0zf+ta31NDQ0Nc76le/+pXbposvvnjUngcAgESztbpFPSFPhVmpmpobH42TgWQ0rzBLWakBN6vlzro2zZ8S360tAACIaTDqWLKbZs+e7ZZoWEbVk08+6dZ3797tso8efPBB9/N5553nGlSvXr1a3//+93X11Vfr9ttvd4GuW2+91V1fVlY24u0DACBZbKps7suKioemyUCyskyoJaU5Wr+3URsONBOMAgAkrRF3obrxxht19913D3nbjh073O0jZf2nrr32Wrc8//zz2rt3b9/Pmzdv7usZZX2prD+VBaT+7u/+zvWm+qd/+ieNB3pGAQAmorauoLbXtrn1paVJWKLn8yt98hIpa75bR+zHI2PyUrck63gs7y2V3VLVoq5gKNabAwBATPg8604+ApGZyy655BI98MADA/on2Qx7Z555poLBoBJVpGeU9avKy8uL9eYkNZuO2AKZxcXFzGwI8L7AMN7Y26jHK6pVmpuu/3XmzKTcT3xeIJ7Yofe/vrhL9e09+rPlpTHt48Z7A+B9AUTD2iVFJpUbrTjIMX0lde+992rLli36wAc+cFhTcQAAEH+z6C2bmhPrTQFg3wT7fH0BKCvVAwAgGR1TMOrEE0/U+vXrNXXqVJ122ml67LHHlOgo0wMATDRNHT3aXd+evCV6LgslpJ72KqnroFtHHIxHW5Vbknk8lk8Nf6u8vbbVNTMHACDZHHOxfmFhoZ599ll9+tOf1kc/+lF9/etfd2nHiWrNmjWqqKhwQTgAACZK43L7ZJ45KUOTMlOVlLyQOus2S23b3TpiPx4ddZvckszjUZSTpql56Qp50ubeCQYAAEgmKcf1yykp+sEPfuAypb74xS/qoYceGr0tAwAAozKLXrJmRQHx3sj8QFOnK9X7wMxJsd4cAADiOzNq1qxZSk9PH3Dd5z//eZclVVVVNZrbBgAAjlFdW5f2NXbKJ7mp5AHEFwsS2/tzb0OH6tu6Y705AADEd2bUzp07h7z+nHPO0Xvvvae6urrR2C4AAHAcNh5ocZdzC7OUk35cidAAxkBeRormTM7Ujrp2lx113rzJ7GcAQNI45p5RQ8nNzXWZU4mIBuYAgIlYoscsekD8Wl6W2zfrZSL3XgUAYLCoviq96qqrNJLpahNxdj1rYG5LU1OT8vPzY705AAAMq6q5U9UtXQr4fFpUTIkeEK8WF+foN/4a1bR2qbK5U1PzMmK9SQAAxE8wygIwFmSKsG9uXnzxRZ188skuGwoAAMSPjb1ZUQuKspSZGoj15gAYRkZqQCcUZauiqsWV6hGMAgAki6iCUc8///yAn3t6epSWlqYf/ehHWrFixVhtGwAAGCH7wmhTb7+oZcyiJ/n8Si9YrFavzq0jPsYjsg7pxLJcF4yyUr2LTpgif78vgAEASFTHdBTQP0sKAADED5tBr769W2kBn04ozlay8/n8SsmaKqUVuXXEfjxSs8vcwniEzZ+SrcwUv5o7g9pV1x7jEQIAYHxwVBYlGpgDACYCy64wC4tzlBbgYx6Idyl+n8pLw73drFQPAIBkwFFqlKx5eUVFhdavXz+2IwIAwDEKWYleZBa93pPbZOd5IfV01Erd9W4dcTAe7bVuYTwOWT41z11auV53kNcpACDxHVcwinI9AADix+66drV0BV3Jz7wplOg5XkidBzdIrdvcOmLMC6nj4NtuYTwOmVmQofyMFHX2hLStpjWGAwQAQBw1ML/qqqsOa45qvvzlLys/P/+wANVjjz02mtsIAABGMIve4pIcV/oDYGKwpuXLpubqpZ31rlRvCZMPAAASXFTBqKampsOyoM477zx32dxMbTsAALHWE/JUUdk7i97U3FhvDoARWt4bjHq3pk3t3UFlpgbYhwCA5A5GPf/882O/JQAA4Ji9V9uq9p6QctMDmj05kz0JTDAluekqyUlTVUuXNle26NQZA6sPAABIup5RN910k37961+rra1NyYrZ9AAA8Wxjb1bUkpJcV/IDYOJZXpY7YFZMAACSOhjV2tqqv/iLv9CUKVN0+eWX6wc/+IH27NmjZMJsegCAeNUVDOmdakr0gIluWWmuLJS8q75dDe3dsd4cAABiG4x64IEHVF1draeeekpLly7V97//fc2ZM0cnnnii/v7v/16vvfba2G0hAAA4Ipt9qyvoqSAzRdPy09lbwASVn5mqWQXhMluyowAASvZglAkEAq5p+d13360tW7Zo27ZtuvHGG/X666+760tKSnTDDTfowQcfpKk5AADjKHLSutSyKijRG8jnV1r+CVLmLLeOGPP5lT7pBLcwHkOLTEBAMAoAkMiO+ahs3rx5+tKXvqRnn31WtbW1uueee+R5nm6++WYVFRWN7lYCAIAh2axbNvuWYRa9w/l8fqXmTJfSS9064mE8ZriF8RjaktIcBXw+18i8qrlznEcIAIDxMSpHZbm5ubr22mv105/+VFVVVVq3bt1oPCwAADiKrdUtCnqeinPS3GxcACa2zNSAFhRlufUNNDIHACR7MKqyslK33nqrnnzyyb7r7rzzzsPuZ+UBZ5xxxuhtIQAAGNbGAy19JXo4nOeFFOysl3qa3DriYzxsYTyGt7xfqV7I88ZtfAAAiLtg1PXXX6+amhoXkPrWt77lrnvhhRfGctsAAMARtHT2aMfBcIne0tIc9tVQvJA6av9Hatni1hFjXkjtNW+6hfEY3glF2UpP8auxo0d76jvGcYAAABgfKdHesbGxUb/97W/V2tqqq666SpMnT1YyWbt2rVuCwWCsNwUAAGdzVYssZ2JaXroKs9PYK0CCSA34VV6So//Z16QNB5o0e3J4hj0AAJIuMyorK1y7np2drccff9z1h6qoqFCyWLNmjfv3rl+/PtabAgCAsykyi15vSQ+AxCvV21zZop4QWX0AgCQNRp111lk6ePBgX2Dq0Ucf1bJly8Zy2wAAwDAa2ru1p6FDPvpFAQnJsqFy0wPq6An1zZgJAEBSBaOef/55feMb31BhYWHfdSUlJfrd7343ltsGAACGsakynBU1qyBTeRlRV90DmCD8Pp+W9WZHMaseACApg1GrVq3SjBkzdNttt+mtt94a+60CAABHtCkyix4lekDCl+ptq2lVRzd9SwEASRaMeuyxx3TOOefo3nvv1SmnnKIlS5a4GfV27tw59lsIAAAGqG3t0oHmTvl90pISZtEDElVpbrqKstPUE/K0pTocgAYAIGmCUVdeeaUeeOABVVVV6ec//7nmzp2rO++8U/Pnz3e9pH7wgx+otrZ27LcWAABoY2/j8nmFWcpKC7BHjsTnV1rePCljhltHHIxH/ny3MB5R7K7+pXr7w+97AAASwYiOyqxx+Sc/+Uk3m15lZaXuu+8+paen64tf/KLKysp0xRVXuKAVAAAYG57n9QWjIiepGJ7P51dq7iwpo8ytI7ZsDNJyZ7mF8RhZqd7OunY1dfSM6fgAADBejvmorKCgQDfddJN+//vfa+/evVq9erWefvppfeYznxndLQQAAH2sPO9gW7dS/D4tKqZED0h0BVmpmjkpQ16/iQsAAJjojmv6nZqaGv3yl7/Uf/7nf+rVV19VamqqLrvsstHbOgAAMGTj8hOKspWeQqbP0XheSMGuJqmnRZ435Xi+h8MojUeoOxxQ8afmkh0VJcuC3NPQ4Ur1zpxdwGsRADDhjfiIrLm5WT/5yU90ySWXaNq0afrSl76ktLQ0/fCHP3Sle48++ujYbCkAAEku5Hl9mRGU6EXJC6mj5g2pZbNbR4x5IbVXv+EWxiN6S0pz3YQFlhlZ09I1hgMEAEAcZUZ1dnbqN7/5jesH9dRTT6mjo0MnnXSSm1HPekhZUCrRrV271i3BINPqAgBiY29Dhxo7elxG1IIpWQwDkCSy0wKaPyVb22pateFAkz64wLL8AABI8GBUcXGxWlpaNGfOHP31X/+1PvWpT2nx4sVKJmvWrHFLU1OT8vPzY705AIAkFGlcvrg4W6kBys2AZGtkbsEo+zuwan6hm2kPAICEDkZdf/31LgB1+umnj/0WAQCAwwRDniqqwv2iKNEDks/C4mylBXyqb+9xWZIzCzJjvUkAAByzqL5W/d73vhdVIOqFF15wQSsAADC6dta1qbUrqKzUgOZMpkQPSDZpAb8Wl4Rn0NzQmyUJAEDSzKa3atWqYW/buXOn6urqjnebAADAMCV6S0pzFLBOxgCSslTv7f3N2lzZrMsWFfG3AACQPMGovLy8w2rUW1tbtWHDBjU0NLgm5wAAYPR0B0PaUt3q1inRA5KXZUXmpAXU0hXU9tpWLSwOZ0oBAJDwwahHH3102Bn3bGa9hx56SNdcc81obBsAAJC0vbZNnT0h5WWkaMakDPbJSPj8Ss2dIwXr3TpizOdXWt6cvnWMjGVFLi3N1Wt7GlypHsEoAMBENWpHAenp6Vq9evWwwSoAAHB8JXpLS3PkZwatEfFFgh8Z09064mE85rqF8Tg2y8ty3eU71a0uSA0AwEQ0qkdltbW1Ki0tHc2HBAAgqdnJ5js1lOgBCCvLS1dhVqq6Q562Vodn2AQAIOHL9N58883Druvp6dHWrVt1xx136Oabbx5wnxUrVhz/VgIAkKTeqW5RT8hzJ59Tc9NjvTkTjud5CnW3SME2t47Yj4fXEw6u+lKyD+tDiqOzfWa9455/r04b9jfrxLI8dhsAIPGDUaeeeuqQBw6RA7y//du/dbfbz3YZDAZHZ0sBAEhCGyt7S/Sm5nLifiy8oNqr/2izrUgl063rziiPEEY6Hm1Vr7vV7LLzLCLFDjzGWfUsGPXewTa1dPYoJ539CACYWEb8ybVu3bqx2RIAADBAm5sxq82tLysN94kBgMLsNE3Pz9D7jR3aVNmi02dNYqcAABI7GHXeeeeNzZYAAIABKqpaFPKk0tx0FeWksXcA9LFSPQtGbTjQRDAKAJCYDcwPHjx4TA9eV1eneGP/lssuu0wLFy7UsmXLdOONN6qzszPWmwUAwLCz6C2bmsPeATBAeHZNaV9jpw62drF3AACJF4yaM2eOvvzlL2vDhg1HvW9ra6t+/vOfa+XKlbr33nsVb6yP1Ve+8hW98847evvtt9Xe3q577rkn1psFAMAATR092l3f7taXUqIHYBDrEzW3MMutb+gNXAMAkFBlei+//LK+9rWv6eSTT9a8efN05plnavny5SoqKlJ6eroaGhq0c+dO/elPf3L3nTRpkmtkvnr16qg2Yvv27frOd76j1157TZs2bdKiRYvc5WA2Y98XvvAFvfLKK8rNzdV1112nf/zHf1RaWvSlC5MnT9a5557r1v1+v2vIvmfPnqh/HwCA8bC5slk2NciMSRmalJnKTgcwZCNz6ytnwajz501mkgMAQGIFo6yc7dFHH9WOHTv0s5/9TM8995x++ctfDihvmzlzps466yyXFXXllVcqJSX6dlSbN2/WE088odNOO02hUMgtg9XX12vVqlVasGCBHn74Ye3bt0+33HKL2trajjmzqaOjQz/5yU/07W9/+5h+HwCAsZ5Fj8blAIazqDhHqYFq1bV1u3K96ZMy2FkAgMRrYD537lx9/etfd0skQGQBHcs2sgypY2XBqw9/+MNu/YYbbtAbb7xx2H3uu+8+NTU16ZFHHnHPZ3p6enTzzTfr9ttvV1lZmbtuxYoVQ2Y6WQbU008/3fezBbyuv/56XXDBBbr00kuPedsBABhtdW1d7sTSJ2lJKf2ijovPr9ScmVJPg1tHnIxH7zqOT3qKX4uKsrWxssVlRxGMAgAk7Gx6/RUUFIzKRli53NE89dRTuvDCC/sCUeZjH/uYKwV85plnXBDLvPnmm1E955o1a9zz/su//MsR72fZX/0zwCwgZobL4ML4sf3veR7jAPC+SDgb9oezouZMzlRWqp+/c8cpJXeuvI4aeV74swOxlZo3z13aeHge4zEajcwtGLWpslkXL5gsv3U1jxLHUgDvCyAaY3H8dFzBqPFk/aJs5rv+rDfV1KlT3W0jcdttt2nv3r0uy+pogbC77rpLd95552HX19TUuKwwxPYN0djY6AJS0QQ0gWTA+yIxvL2v1V3OzPJUXV0d682Z8HhfIJHlep4yAj61dgX15o4DmpkX/eE97w2A9wUQDTvvTtpglJUEWvBpqOysurq6EfWnsh5R1iTdZvwzF1100bB9o2zmPetN1T8zasaMGa55e15e3jH9WzA67ADKZke0sSAYBfC+SBTVLZ2q62hWwCedNr9UGamBWG/ShGZfWAS72+TzujSlqEiBAPsz1uPhBcNf5vkCGTTcHiXL6mu0fm+T9nYEdOr84qh/j2MpgPcFEI2RTBqXcMGo0bJkyRJ3IBQt64U1VD8sC34QAIk9C0YxFgDvi0SyqSqcFbWgKFtZ6cyid7y8UI/aal6Xr7VV/pIyPrvjYDxaq19z69ll58nnJzg4Gk4sy3PBqK3VreoJSWkp0WeMcywF8L4AjmYsYh8TprbJMqCGSg2zjKn+faTGytq1a1VeXt6XTQUAwGizL0s2HWhx68yiByBa0/MzVJCZqq6gp3dqwgFtAADi2YQJRllZ3eDeUBacOnDggLttrFnD84qKCq1fv37MnwsAkJxsBr369m6lBXw6oSg71psDYIKw7KZlU3Pd+oYD4cl2AABImGDUrl279NWvflUf/OAHXbnb0qVL3Qx3d9xxh/bs2TN2Wynpsssu07PPPquGhoa+6371q1+5dLGLL754TJ8bAIDxsPFAeBa9hUXZIyqzAYDlvcGo7bVtrpk5AADxLOoj3QceeECLFy/Wt771LW3btk35+fnKzc3VO++8o2984xsuO+m///u/j2kj2tra9OCDD7pl9+7drkl45Gebtc6sXr3aPd/VV1+tZ555Rj/+8Y916623uuvLyso01ijTAwCMpZDnaXNVOBgVyXAAgGgV5aRpal66Qp60uTL8twQAgHgVVQNzK4+78cYbdfbZZ+v73/++C0oNnqHuC1/4gq6//nqddNJJOuGEE0a0ETZt9bXXXjvgusjP69at0/nnn+96Rj333HPueSwgZYGpz372s/rmN7+p8WBlerZYoMwCcQAAjKbdde1q7gwqM8WveVMo0QNwbNlRB5o6teFAsz4w8/BZqAEAmFDBKMsKmjt3rp588skhp/Szkr2nnnpKJ598srvvv/7rv45oI2bPnh3VDHcWBLNSPQAAEs3G3kyGxSU5SvH7Yr05ACagpaW5euadWu1t6FB9W7cKspiREwAwgcv0XnjhBX3uc58bMhAVkZ6e7u7z/PPPj+b2AQCQ8HpCnioqe2fRo0RvdPl8SsmeJqUVu3XEmM+n1OxpbmE8Rl9eRormFGa6dcuOAgBgQgejrDn5smXLjno/u481OU9E9IwCAIyV92pb1d4TUk5aQLMnh08kMTp8voDSJy2Usua4dcTBeBQscgvjMTaWT83rm1UvmsoDAADiNhjV3NzsejQdTU5Ojlpawt/sJhrrF1VRUaH169fHelMAAAlmU29W1JLSXPnJ3gFwHBaXZLtS39rWbh1o7mRfAgAmbjDKvlXxcXAMAMCo6wqGtLU6UqKXwx4eZXYM4wW7pFA3WSJxNB5uIWtnTGSkBLSwKDwJwob9lOoBACZwA3NzwQUXyO8/cuwqFAqNxjYBAJA0ttW0qivoqSAzRdPzM2K9OYnHC6qt8iWptVUqLpFEqV6sx6P1wItuNbvsPMkX9aEoRmB5Wa42V7VoU2WzLl44hYxLAEDcieoI4I477lCys55RtgSDwVhvCgAggWzsbTJss2CRhQxgNMyfkq3MFL+aO4PaVdeuuYVZ7FgAQFwhGDWCnlG2NDU1KT8/f2xHBQCQFNq7g3q3ps2tM4segNFiPaOWlObojfeb3Kx6BKMAABOyZ9TR1NTUqLu7ezQeCgCApLG1ulVBz1NRdpqKc9JivTkAEsjysvCsehVVLeoO0koDADABg1E2g5yVqA327//+7yoqKlJpaanLFvqbv/kbmlECADDCEj3LiqJED8BomjEpQ/kZKersCbnedAAATLhg1N13360nn3xywHUvvfSSbrrpJmVlZemv/uqv9MEPflD//M//rJ/97Gdjta0AACSMls4e7awLl+gtLWUWPQCjy+/z9ZX/WqkeAAATLhj1xhtv6Oqrrx5w3X333afU1FT94Q9/0He+8x09/vjj+sxnPuOuT0SWGVZeXq6VK1fGelMAAAnAZroKedK0vHQVZlOiB2D0Le8NRr1b06q2LibhAQBMsGBUVVWVFixYMOC6p59+Wuecc45mzZrVd921116r9957T4nImpdXVFS4kkUAAI7Xpsgser0nixgjPp9SskqltCluHfEwHlPdwniMvZLcdJXkpCnohXtHAQAwoYJR1g/KZpGLeOedd1RXV6ezzz57wP3y8vLU1hYuOQAAAENraO/WnoYOWWhkaSnBqLHk8wWUXlAuZc1z64gtG4OMyeVuYTzGx/IySvUAABM0GHXyySe7ZuURv/jFL1yj1SuuuGLA/d59911NnTp19LcSAIAEsqkynKEwqyBTeRkpsd4cAAlsWWmuC3zvrm93gXAAAOJBVEfA//AP/6Bzzz1XCxcuVHFxsV5++WVdfPHFOvXUUwfc76GHHtLpp58+VtsKAEBCoERv/HieJy/UI3lBZvyNk/GwsXB8AWaRHAf5maku8L2rvt3N4HnO3Mnj8bQAABx/ZpQFmNatW+ead1vJ3te+9jU9+OCDA+5TXV2tlJQUXXfdddE8JAAASam2tUsHmjvl90lLSphFb8x5QbUd+IPU+MahIAhixwuqdf8LbmE8xr9Uz4JRAADEg6hrA8466yy3DMcyph577DElKptNz5ZgkANZAMCxi5wMzivMUlYaPYwAjL3ykhw9UVGjqpYuVTZ3qjQ3nd0OAIj/zChjM8l98Ytf1JVXXqnVq1fr2WefVTJhNj0AwGiUKEWCUcuYRQ/AOMlMDeiEoiy3vmE/2VEAgAkSjHrppZdcE3PLDFq/fr3uv/9+XXLJJbrvvvvGfgsBAEgQlpFwsK1bKX6fFhVTogdg/CzvDYBvqmxWyHp3AQAQ78GoO+64Q4sXL9auXbtUWVmpgwcP6uqrr9ZXv/rVsd9CAAASxMYD4Vn0TijKVnpK1MnJAHDcFhRlKyPFr8aOHu2pb2ePAgBiKqoj4Y0bN7oZ9WbMmOF+zsvL03e/+13V1dVp7969Y72NAABMeJaJYBkJhhI9AOMtNeDX4t5JEzbQyBwAMBGCUbW1tZo+ffqA6yKBKbsNAAAc2d6GDpeRYBlRC6aEe7cAQCxK9TZXtqgnFGLnAwBiJuoaAZ/PN7ZbAgBAAos0Ll9cnO0yFDBOfD4FMouk1MluHTHm8ykls9gtjMf4mz05U3npKeroCendmrYYbAEAAGEpitIFF1wgv//wg+dzzjlnwPUWtGpsbIz2YQEASHjBkKeKqnC/qKWl4cwEjA+fL6CMycvU1FPt1hEH41G4jGGIEb/Pp6VTc/TKrgZXqrewd4Y9AADiMhhlDcyTnc0kaEswGIz1pgAAJpiddW1q7QoqKzWguYWc/AGIneVT81wwaltNqzq6Oa4FAMQGwagorVmzxi1NTU3Kz88f21EBACRkid6S0hwF/JSKAYid0tw0FWWnqaa1S1uqWzUtldEAAMRxmR4AJJKuYEh1rd062Nal2t7Lpo4eFeekaXZBpmZNzlR2Gn8icfy6gyF3wmeYRW/8eaEete57XmptlTflMsmfFoOtwIDx2P+CW88uO08+P39nx5u11Fhelqvn3j2ojZUtmjaDMQAAjD8+fQAkrJDnqaG9Rwdbu1Tb1qWDFnRq7dLBtm43q9lQdta16/U94b539s2xBaUsOGVNX3PT+ZOJkdte26bOnpDyMlI0Y1IGuxBAzFlg3IJR9pnXUpqt4lhvEAAg6XBmBWBC8zzP9eKxAFOtBZp6s5zssq6tW0HPG/Z3M1P8KsxOU2F2qgqz0pSbHtCBpk7tqm9XdUuXK2Gw5Y294eDU5KzUvsDUrIJMTcqktgHRl+gtLc1xzYMBINYKMlM1c1KG9jR06NX9nToYalRWWooyUvxKT/ErI9WvjJSA+zk14GNWbQDAqCMYBWBC6OoJuYBTuKxuYNDJpqgeTorf54JIhbZkp2lKb+DJ1rNS/cMeYFuAa099uwtM7a5rV2Vzpwtu2fLmviZ3n0kZKQMyp+zgfrjHQ3KyjChrEmyWMYsegDhipXoWjNre0KPtDbXD3s/a3IWDVIHeIFXvkhoIB676/Xxovff+vcEteuUBAAYjGAUgbgRDVlZnQaZwOV1t76X9bP2chmPhn/yMlAFZTi7olJ3mrj+WbJTstIAWl+S4xbR3h4NTu+s7tKu+zWVQNXT0qGF/s97eH858yUtP0ayCDM2anOUCVLYNBKeS2zvVLeoOeS4YOjUvPdabAwB9Tp6Wr5aOHlXWN0up6S54bl/udHbbZdCthzwreZfaukNuUfux7cC0gC+caeWCVIcHr9KHCGb1v3+qn+wsAEg0BKMAxLyszl22daneldUN/7uWyeQCTpEsp95Ly3xKDfjHdLszUwNaWJzjFmMH7XsbDmVO7WvsUFNnj2sGa0skoGXlfJHMqaKcNMq0kszGyt4Svam5BCYBxBXLHD5v3mRVV/eouLhYfr//sM/r7qDnglIuONUd6gtYRX4Or4fU0R08dFtvMMt+7ur9ULfLrmCPmjqPbVsDPh2WmdU/gGWf0fblk/Xmi1yO9XEBAOD4EIwCMCbsILSurX+w6VC2k9027B8lv68v2GSXU/plO2WlBeJmtOwgeP6UbLdEZud7v6FDu620r65d7zd2uKBbRVWLW0xmqt8Fp1yAanKmSnPTCU4lsLauoGtebijRAzDRWGZvWootfuUd4ymDZTx3DhG86uwJqj0S3OqXiXUo4HXoZwtnWUyrrTvolmhl9Q9QZYaDVPkZqX0BK5uUhPJBAIgdglHAGOpxB2H9DsC6g2rvf+BlB13BcGDG5/4L15xFisqsuqz3Wrfee3PvfaK/f3j9KPfvd9uA+/d7LP8w19tFi2U79QWdul2W0BHL6jJTNCXr8LI6O0iciE2e0wJ+zS3McovpCYW0r7HTBaYsQLWnod0deG+tbnVLJKBlDWQtMDW7IMuVcXFgnBgso2DDgWZX3lKam+ay4hAjPp8CGYVSZ+qhP1qI/Xj0riOx2WeafZF0rF8m2d9Sy6o6LDOruzdY1XtMZUEqK+dv7AiX9dvvRIJXB5qHTseyV19OemBAgCqy5GWkuuMUy3CeiMckADAREIwCjvKN3uEHPYe+rbODIwswDHW9rVt6ezKzbyUt2OSym/o1ELdG34mePp/iP5QFFXkt7W86lDllTWPtoPrd2ja3SAddT40Zkw5lTk3LT3ePg/hmJ0vNnUE3vhaAtMv9jZ193+AvpXF5TPl8AWUUnqimYLVbR+zHI3PKSQwDony9+JSeYotf+RnR/022Y7BGC061d7vLcKBq4GWw92+3LQpPmjtkeWBuX5BqYNDKBawyUlzWM/0hAWDkCEYhoQ2ZHh7JThqUoTRUQCnS6+B4pQcizTgHNuW0S0uBt+/c7Jm83qfru3TXhn92a5HL3lsO3S/8Q2Rr++7fe1AWuc9x3d+e87DtCG+JXW/9Gg7NVBd/ZXXx8O2wBZpsOXuONYT1VNnUGe451dt3yl6X7x1sc0ukZHF6fiRzKlPTJ2UkfBBvImjp7NH+pk7XJ8wu9zd2uMzAwSyT0MZvxfS8mGwnACQjCwzZMYktVg4/FPsMtlJqF7Dql1HVP2DV7AJWUkN7j1ukjiEfKzXgcxOYuCBV5uCAVTiIZcE0TBw9wXDDfpu8JiUQ/jy3DDlLkiNTDhg9BKOitHbtWrcEg8G+GZIWpmW5DxmMr+5gSFXNXdrX2K6q+k4F6mpdqdvhgaVDJXDHy80CM2CWl8BhgaXMoa5nSmMMww5myvIz3HLm7AJ3YFzT0uWypiIBKus5Zeu2RL6hnZZvs/WFg1MW2OIAd2zZGBzon/HU1DnkzI52oFqUnRYe07x0N07FOWkEDwEgTj+Dc9JT3DItf/gvNJs7DwWnwoGqgZlW9hlhWfCuRUFbt829O+Rj2fHgUFlVkYAVDddjf14R+Yy3z/zqli5XZq+KcFuF/ny9rx9LXHeXvsGXPtn3hoOvO+x+/iPdNvTjDriu9z6BYW/z9X2pyZfDiFc+L5IGgag0NTUpPz9ff/vQm0rPzlFuesCddLglL92diNg3MRi9nkvVLZZ5ED4RtBNC+9l9QIyAfWsVDiTZN2UDg0UDM5UGTi1sY2kn+/TxwXizP821rd29s/W1uUtXStCPHXBYnynrN2XZU9Z/ygKn1dXVQ86MhCOzb0AP9M94auro/Tb88ANRKz0ty09XWZ79/U9XSW666xuG+OOFetSy/w9qbW1V0bxLFEihf1esx6P1wItuPXvqOfL5+VIvlkKhEJ8ZxxnIsMDUkQJW9gVpNKw/lc0OXJKTpuIc+1wJXxJIGN3xqmzu7A06hTOba1p7A08Jyr7ItMl2lk3N1cKibDchAXAsGhoaVFBQoMbGRuXljU7WP0cAx6goJ1XNntzJYf+GxMZ641hQyk5QpuVluJNFSmuOzr6BslnX+vddsW8qLCA1VC+isrw0patHBbnZykxL6Q0eHZ65ZFMB2zcDwEQrM7Cm17asnJHvglP17d2HMqfq2tXQ0ePeK7a8vKveBUns4HVymqfS1npXGhD51tV6XhAsOcSyKK1Mcl/vwagdmNa5b7UPF/mbHsl4srIPMtImGC8UXhAfGAskCDu+d7P/Zg8f5LZ2Ef3LAA8Fqg5dZ9lVlmVly96GgeWA9sW3BaUs29a++LBg1ZScND7Tj8JmOa6MBJ2aOtzlcIEnCwTa+Zp9ztuXTKU5qepoqlNRUbE8n8/9jmWwhxcL4vZeRn7uf9uA+3iu1HPAbUP+7sDHsHOioz3ukL8bGnid9a60LzbfqWl1i31hubA4R8un5mpeYRZftiPmCEYdo5tOn6mMrBw3Q4d9ix5eOt3JYiRVd+OBZndfi4PYh4gLTrkMqgx3gpnM2Tb2B9JO/OwkMHIyaPtyqIbfFlTqy0DozT6zE2w7OQ9ngBSSAYKkCE5Nzkpzy4rp4ZqChvbuvoboFqCy91Rlc5cqLbP8YN1hj2HBWutrESkJiJQMhK8L97lIxCBLV0/4m9B9vY3F7aDUZnwc6otQa67f/++NHZxacBsAgGNhn6vhYNLQ/avseNYmw7HglAUOqpqtCqBLVS2dLjs33GT9UD9JY2cQlkVlAari3gCVBarsMywZzy8in/P7+weeWrqG/Jy3wJMFnabmhb9kssWOf/o3obeMwc7m3nK5CZ5lbhUldk668UCLO08Nrze7Y8IlJTlaNjVPMwsy6IWFmKBM7xjL9IZLT7NmiC4w1XvSs2+Yxrapfl84At9b3mdBKvtQScTZOOxD1j5M+58I2oeFfVM0mEXs7cNhWu/JoH1ADLdfSC0HBrJvWHfVtWpXVYOCKelq6u11EZnmOtqD5kjAqn8vi/5BLAsQx+vfqr6ecu7vTfhvzXAHpPbvK+v3d9j+9lAOkaBlevueD5fpzb+MMr04GI/W/S+49eyy8yjTizGOpeKbHStbMME+1yxAFVmPzNY6mFUCWP/C4t4SP1fyl5vmPsPj9XP7WPZJOPAUDjrZuYVVVgz1OZ/Tl/FkPTrDXzBFsy8S8X1h52OWOLHhQLM2VzYPOD+1Y7ulpeGMKcv+TpTXCkYXZXoTgJ3ILCjKdkvkjW8ngpb9E8mgigRibGp3WyKsAXZfeV9vH6rc9ImVvOb+vTbTlAXi+gWf7BufoT4w+6fE2r/XZmFjlgrg2IQPJnJV7G8fcABl70v7mxMJTkVKBPqW3uutr4Xdr6any6WyD8eCxoMDVHmDMqyyxmGq6x47WHSBp0OldsP1lLMyh8jBaKR82hrXAgAQr+wLoshMvBH2mW7lfFWWPdWbRVVtl61drsLAKg1skcIVGpFzjEiAKlLuZ5fx3ue2L/DU+xlvwafhAk/2Od8/28nWmWjqEDsms1mZbblk4RSXUW8ZUluqWtwx4Cu7GtxiM2MvK811PaaOVH4KjAaOxMfhjW/TvNpSXpLTV6JmJSLh3kjh8j77Qzt4WndjJ3dl/YJT9sc1nj44op3i3Jrn2QdfX98VShWBcf075PqopYb7TgzHBaz6BafCS/eAn22qY8uyslICW4ZjweahAlaHygJTXPA+2uCz9U+wDCcX5O79W2PfDgeHmIMjkoLfP+OJA1IAQKJ8pkdmArS+PxF2fmHl+/bZaCV+4SBVlw62dblzjN31HW7pzz4bBzdMt2BELHrd2jFI//5ORyqpJ/B0fKyU0147tlyxuEjba9tcxtS2mlZ3bLfuvTq32LGUBaXsi06OozAWCEbFgL9fY+ITy/IGzBoXCU7ZpZ14uZPA6p7DGqT3zeCXn+7SKcfjQ6MtMsV5vywEy7A40hTnkXI7+4BLSZA0VyCRv4GN/G06UkPQ5n4ZVQOyrHqDVvaNrf1Nsx5WwzUFjwSpc4cMWKW6gFJ9W3dfhqUF7IeazMB6HvTPeBqq9wMAAMlwfhHpLbm49wvwSPm6BXWq+sr9woGq/p/f79a2DTiOD8/qNzCLqiBr9KoXIpOIhHs8WcbT8IEnO0boq6TID2c2T7TKkXhm55D2erHFxmVrVavLmNpR19Y3Ps+8U+tmbbbAlCVXxFNixEToZ+ayFZs63ezu1tdtkiWqZKQkZX+3wXgnxwnLIgj3SMrQyhkDU1Pft8DPEA3SLYJt7HVsHxj9M6gsGHQ8L3D7YxSpw46cDNpzD8YU50BySYti5iArn2vuCPYrCwzPGNQ/aNXSGXQzzFg/OVuiYb2qIr0fIoHuSZkEnnA0PgXSJ0mddvDMgV98jEdB3zqAsQ82lOalu6W/ju5gX6N0y6Cq6i33syyqSPbz5qp+j2P9qFwW1aFZ/ax5uvVlOtIXQH3nFBZ06jd77ZCBp95ejn19niipH1cZKQGdNC3PLVb9srmqRZsONLu2Mjvr2t3yREW15k/JdoGphUXZSkvAiW+OlWUnWjKJnbtH2vPYe2yo9hG+3td7gQtOpbgAla1b0HdS7yzYydC6hgbmo9zAfKxZxkE4MHUoQ2nIBunWCDz3UHDKTtzsBT7Uh0Vk6tNoZpqaHJlpql/5S6xm30rE5oJAsrwvrOyuOVL+N6AsMPyz3WYZUq6st7e8dzS/lUVymSjvC2C88d5Af9aPymbvO9Q0vdMFqewEe6jsZGM9Il0vqtw09+W4ZXzYCXik3M6+QB+K3a9/0Cmeejnyvhiood8sfPZ66N9DdFGxzciX60r+kinTJ9IXOhx4CiePWIbfUBMGRfqWWmsJ25f2Jexw76f+1QN2HDwpKxKwSh0QuDpaEHiiNDAnGDXBglFDvREszdYFqCK9mxo71RkMDVvOYid29gK2lEH7veqjzDTlTgQtLTY3Pa5mmuKDAuB9AfB5AXAshTE+5vbCpfeWOeUyqHqbpw+X4TTcOcXUOAw8DYVzjOFZgDISmKrvl9luQclya3xemquZBRkJ9+WhZRJGzrXfbwgnhgyVEGIBOjvftkbxkYQQCyoNfj9Zgkl9mwWmut1+DAepwutWUXCUWJWrqrLAVCRQFQ5WHfrZzvtHO1jFbHo4jL3IIi9A+wMQeYFbZlM4eyr8Zqls6nIz2g1ukB5hwalI9kGkyXg8f0gAAAAAGHsWWJiSneaW8n7XWz8qm303XOYXLvezL8mtCXrkfMICT9lpnFMkCsuC++CCdK2aX+iygTYeaNHmymYXmHljb6NbrPwsPCNfjuttPNH6eFrWkgVbXeCptyJpqEl7LBHM9sf03lY5FoCy98jRAnF2u/U9y01P0cyCQzNlDq4e6B+osnY54dYW4dYXto1HmkwoPeAfUP7nAldWAti7biWZ8YC/DAneIN1qfvsapEf6TzV1umis/XGI9F1hhgQAQCLyQj1qO/Cy1NIib8pFkp+pqmM+HpWvuPWs0jPl83MoCkzkflSRnrdILhZgmjEp0y2XLJyiXXVt2ljZooqqFhcseXlXvVssMGllfBacOlK/0VhWGVmGXzjwFA5ADTdpjmUeRVrgTM/PcH3YrJfqaAu4rKdw4Gj2ELfbttls1xaoctlVHd1qcJfhny0waFVSlsXYv6yyP8ucGlz653pWWXP1zJQx+XcNJemOACzt8qyzzlJ7e7uCwaAWLVqk+++/Py5K7sa8QXpvuR0AAMnEC3VLXnSN8jFO4wEASAgWPJk3JdstVywucrMzWhnftppWl7mzbnudW6zf8NKpuVpamhuzRIjWrp6+Hk+RJuNWPTRYZoo/HHiaFA48xVPVUIr/0MyZKjz8dstYbBiUURW+DC9t3SH3b27vDs/yNxSrmopkUUVK/wLdbaP/b1GSscalv/3tb/uCT7fccou+/e1v6xvf+EasNw0AAAAAgAmbLVdekuMWm0lxa1WrC0ztqGsL91xq6tQz79Rq9uRMlzFl98tMHZuSMQvKWLClf+Cpf5+riIDP58pJwxlP4cvJWUNP/DVRxqCot0pqKJ09ob5AVf/yv3APqx6XVWXZVba839jv91pbEjMYtX37dn3nO9/Ra6+9pk2bNrlsJbscbOvWrfrCF76gV155Rbm5ubruuuv0j//4j0pLG1nKXyQQZVlSra2tysnJGbV/CwAAAAAAycz6ElnLGFtaOnu0uarFBab2NnRoZ127W56oqNaComxXxndCcfYxl4dZz+Ta1q4B5XbW92moRuBWOti/3K4kN91lGyWL9BS/+zfbMlTZomVNRUr/+ves2q+OxAxGbd68WU888YROO+00FyCyZbD6+nqtWrVKCxYs0MMPP6x9+/a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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Trade-off:\n", + " - Short segments (128): smooth but can't resolve 10 Hz from 11 Hz\n", + " - Long segments (512): resolves peaks but noisier estimate\n" + ] + } + ], + "source": [ + "# Visualization 5: Effect of segment length on Welch estimate\n", + "\n", + "duration = 10.0\n", + "fs = 256\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create signal with two close frequencies\n", + "np.random.seed(42)\n", + "signal = (generate_sine_wave(t, frequency=10, amplitude=1.5) +\n", + " generate_sine_wave(t, frequency=11, amplitude=1.5) + # Only 1 Hz apart!\n", + " np.random.randn(len(t)) * 0.5)\n", + "\n", + "# Different segment lengths\n", + "nperseg_values = [128, 256, 512]\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 10), sharex=True)\n", + "\n", + "for ax, nperseg in zip(axes, nperseg_values):\n", + " freq_resolution = fs / nperseg\n", + " freq, psd = compute_psd_welch(signal, fs, nperseg=nperseg)\n", + " \n", + " ax.semilogy(freq, psd, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + " ax.set_ylabel(\"PSD (µV²/Hz)\")\n", + " ax.set_title(f\"nperseg = {nperseg} samples → Δf = {freq_resolution:.2f} Hz\")\n", + " ax.set_xlim(5, 16)\n", + " ax.axvline(10, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.5)\n", + " ax.axvline(11, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.5)\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "axes[-1].set_xlabel(\"Frequency (Hz)\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Trade-off:\")\n", + "print(\" - Short segments (128): smooth but can't resolve 10 Hz from 11 Hz\")\n", + "print(\" - Long segments (512): resolves peaks but noisier estimate\")" + ] + }, + { + "cell_type": "markdown", + "id": "66de37e4", + "metadata": {}, + "source": [ + "## 6. EEG Frequency Bands\n", + "\n", + "Neural oscillations are traditionally organized into **frequency bands**, each associated with different cognitive states:\n", + "\n", + "| Band | Frequency Range | Associated States |\n", + "|------|-----------------|-------------------|\n", + "| **Delta** (δ) | 1–4 Hz | Deep sleep, pathology |\n", + "| **Theta** (θ) | 4–8 Hz | Drowsiness, memory encoding |\n", + "| **Alpha** (α) | 8–13 Hz | Relaxed wakefulness, eyes closed |\n", + "| **Beta** (β) | 13–30 Hz | Active thinking, motor planning |\n", + "| **Gamma** (γ) | 30–100 Hz | Cognitive processing, feature binding |\n", + "\n", + "These boundaries are somewhat arbitrary (you'll see slight variations in the literature), but they're widely adopted conventions." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "bc116c85", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EEG_BANDS defined:\n", + " delta: 1.0–4.0 Hz\n", + " theta: 4.0–8.0 Hz\n", + " alpha: 8.0–13.0 Hz\n", + " beta: 13.0–30.0 Hz\n", + " gamma: 30.0–100.0 Hz\n" + ] + } + ], + "source": [ + "# Define standard EEG frequency bands\n", + "EEG_BANDS: dict[str, tuple[float, float]] = {\n", + " \"delta\": (1.0, 4.0),\n", + " \"theta\": (4.0, 8.0),\n", + " \"alpha\": (8.0, 13.0),\n", + " \"beta\": (13.0, 30.0),\n", + " \"gamma\": (30.0, 100.0),\n", + "}\n", + "\n", + "# Colors for each band - use COLORS from style guide\n", + "BAND_COLORS: dict[str, str] = {\n", + " band: COLORS[band] for band in EEG_BANDS.keys()\n", + "}\n", + "\n", + "print(\"EEG_BANDS defined:\")\n", + "for band, (f_low, f_high) in EEG_BANDS.items():\n", + " print(f\" {band}: {f_low}–{f_high} Hz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "a5c5d233", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: Each peak corresponds to a sinusoidal component we added.\n", + "The alpha band (10 Hz) shows a prominent peak, typical of relaxed wakefulness.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 6: PSD with Shaded Frequency Bands\n", + "# ============================================================================\n", + "# Create a composite signal with activity in multiple frequency bands\n", + "\n", + "fs = 256 # Typical EEG sampling rate\n", + "duration = 10.0\n", + "t = generate_time_vector(duration, fs)\n", + "\n", + "# Create signal with components in different bands\n", + "np.random.seed(42)\n", + "signal_delta = 20 * np.sin(2 * np.pi * 2 * t) # Delta: 2 Hz, high amplitude\n", + "signal_theta = 12 * np.sin(2 * np.pi * 6 * t) # Theta: 6 Hz\n", + "signal_alpha = 15 * np.sin(2 * np.pi * 10 * t) # Alpha: 10 Hz (dominant)\n", + "signal_beta = 5 * np.sin(2 * np.pi * 20 * t) # Beta: 20 Hz, lower amplitude\n", + "signal_gamma = 2 * np.sin(2 * np.pi * 40 * t) # Gamma: 40 Hz, smallest\n", + "noise = 3 * np.random.randn(len(t))\n", + "\n", + "composite_signal = signal_delta + signal_theta + signal_alpha + signal_beta + signal_gamma + noise\n", + "\n", + "# Compute PSD using Welch's method\n", + "freqs_welch, psd_welch = compute_psd_welch(composite_signal, fs, nperseg=fs*2)\n", + "\n", + "# Plot PSD with shaded frequency bands\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Plot PSD line\n", + "ax.semilogy(freqs_welch, psd_welch, color=COLORS[\"signal_2\"], linewidth=2, zorder=5)\n", + "\n", + "# Shade each frequency band\n", + "for band_name, (f_low, f_high) in EEG_BANDS.items():\n", + " color = BAND_COLORS[band_name]\n", + " ax.axvspan(f_low, min(f_high, 60), alpha=0.3, color=color, label=f\"{band_name.capitalize()} ({f_low}–{f_high} Hz)\")\n", + "\n", + "ax.set_xlabel(\"Frequency (Hz)\", fontsize=12)\n", + "ax.set_ylabel(\"PSD (V²/Hz)\", fontsize=12)\n", + "ax.set_title(\"Visualization 6: PSD with EEG Frequency Bands\", fontsize=14, fontweight=\"bold\")\n", + "ax.set_xlim(0, 60)\n", + "ax.legend(loc=\"upper right\", fontsize=10)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Note: Each peak corresponds to a sinusoidal component we added.\")\n", + "print(\"The alpha band (10 Hz) shows a prominent peak, typical of relaxed wakefulness.\")" + ] + }, + { + "cell_type": "markdown", + "id": "83749cee", + "metadata": {}, + "source": [ + "## 7. Band Power Extraction\n", + "\n", + "Now that we can visualize frequency bands, we need to **quantify** the power in each band.\n", + "\n", + "### 7.1 Absolute Band Power\n", + "\n", + "The **absolute band power** is the integral of the PSD over a frequency range:\n", + "\n", + "$$P_{band} = \\int_{f_{low}}^{f_{high}} S(f) \\, df$$\n", + "\n", + "In practice, with discrete frequencies, we approximate this using the **trapezoidal rule**:\n", + "\n", + "$$P_{band} \\approx \\sum_{i} \\frac{S(f_i) + S(f_{i+1})}{2} \\cdot \\Delta f$$\n", + "\n", + "where $\\Delta f$ is the frequency resolution.\n", + "\n", + "### 7.2 Relative Band Power\n", + "\n", + "**Relative band power** expresses each band as a proportion of the total power:\n", + "\n", + "$$P_{relative} = \\frac{P_{band}}{P_{total}} \\times 100\\%$$\n", + "\n", + "This is useful for comparing spectral profiles across subjects or conditions, as it normalizes for overall amplitude differences." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "9c48a395", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Absolute Band Powers:\n", + " Delta : 198.92 V²\n", + " Theta : 71.54 V²\n", + " Alpha : 112.43 V²\n", + " Beta : 13.93 V²\n", + " Gamma : 6.88 V²\n", + "\n", + "Relative Band Powers:\n", + " Delta : 49.3%\n", + " Theta : 17.7%\n", + " Alpha : 27.8%\n", + " Beta : 3.5%\n", + " Gamma : 1.7%\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/tw/x1b5ldls1_s1t0h65sy4nsym0000gp/T/ipykernel_34619/1703510758.py:41: DeprecationWarning: `trapz` is deprecated. Use `trapezoid` instead, or one of the numerical integration functions in `scipy.integrate`.\n", + " band_power = np.trapz(psd_band, freqs_band)\n" + ] + } + ], + "source": [ + "def compute_band_power(\n", + " psd: NDArray[np.floating],\n", + " freqs: NDArray[np.floating],\n", + " freq_range: tuple[float, float],\n", + ") -> float:\n", + " \"\"\"\n", + " Compute the power in a specific frequency band using trapezoidal integration.\n", + " \n", + " Parameters\n", + " ----------\n", + " psd : NDArray[np.floating]\n", + " Power spectral density values.\n", + " freqs : NDArray[np.floating]\n", + " Frequency values corresponding to PSD.\n", + " freq_range : tuple[float, float]\n", + " Tuple of (low_freq, high_freq) defining the band.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Total power in the specified frequency band.\n", + " \n", + " Examples\n", + " --------\n", + " >>> freqs = np.array([0, 1, 2, 3, 4, 5])\n", + " >>> psd = np.array([1, 1, 1, 1, 1, 1])\n", + " >>> compute_band_power(psd, freqs, (1, 4)) # Power from 1-4 Hz\n", + " 3.0\n", + " \"\"\"\n", + " f_low, f_high = freq_range\n", + " \n", + " # Find indices within the frequency range\n", + " band_mask = (freqs >= f_low) & (freqs <= f_high)\n", + " freqs_band = freqs[band_mask]\n", + " psd_band = psd[band_mask]\n", + " \n", + " if len(freqs_band) < 2:\n", + " return 0.0\n", + " \n", + " # Trapezoidal integration\n", + " band_power = np.trapz(psd_band, freqs_band)\n", + " \n", + " return float(band_power)\n", + "\n", + "\n", + "def compute_all_band_powers(\n", + " psd: NDArray[np.floating],\n", + " freqs: NDArray[np.floating],\n", + " bands: dict[str, tuple[float, float]] | None = None,\n", + ") -> dict[str, float]:\n", + " \"\"\"\n", + " Compute absolute power for all frequency bands.\n", + " \n", + " Parameters\n", + " ----------\n", + " psd : NDArray[np.floating]\n", + " Power spectral density values.\n", + " freqs : NDArray[np.floating]\n", + " Frequency values corresponding to PSD.\n", + " bands : dict[str, tuple[float, float]] | None, optional\n", + " Dictionary mapping band names to (low_freq, high_freq) tuples.\n", + " If None, uses standard EEG bands.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, float]\n", + " Dictionary mapping band names to their absolute power values.\n", + " \n", + " Examples\n", + " --------\n", + " >>> freqs, psd = compute_psd_welch(signal, fs=256)\n", + " >>> powers = compute_all_band_powers(psd, freqs)\n", + " >>> print(powers[\"alpha\"])\n", + " \"\"\"\n", + " if bands is None:\n", + " bands = {\n", + " \"delta\": (1.0, 4.0),\n", + " \"theta\": (4.0, 8.0),\n", + " \"alpha\": (8.0, 13.0),\n", + " \"beta\": (13.0, 30.0),\n", + " \"gamma\": (30.0, 100.0),\n", + " }\n", + " \n", + " band_powers = {}\n", + " for band_name, freq_range in bands.items():\n", + " band_powers[band_name] = compute_band_power(psd, freqs, freq_range)\n", + " \n", + " return band_powers\n", + "\n", + "\n", + "def compute_relative_band_power(\n", + " psd: NDArray[np.floating],\n", + " freqs: NDArray[np.floating],\n", + " freq_range: tuple[float, float],\n", + " total_range: tuple[float, float] = (1.0, 100.0),\n", + ") -> float:\n", + " \"\"\"\n", + " Compute the relative power of a frequency band as a percentage of total power.\n", + " \n", + " Parameters\n", + " ----------\n", + " psd : NDArray[np.floating]\n", + " Power spectral density values.\n", + " freqs : NDArray[np.floating]\n", + " Frequency values corresponding to PSD.\n", + " freq_range : tuple[float, float]\n", + " Tuple of (low_freq, high_freq) defining the band of interest.\n", + " total_range : tuple[float, float], optional\n", + " Frequency range for computing total power. Default is (1, 100) Hz.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Relative power as a percentage (0-100).\n", + " \n", + " Examples\n", + " --------\n", + " >>> freqs, psd = compute_psd_welch(signal, fs=256)\n", + " >>> alpha_relative = compute_relative_band_power(psd, freqs, (8, 13))\n", + " >>> print(f\"Alpha: {alpha_relative:.1f}%\")\n", + " \"\"\"\n", + " band_power = compute_band_power(psd, freqs, freq_range)\n", + " total_power = compute_band_power(psd, freqs, total_range)\n", + " \n", + " if total_power == 0:\n", + " return 0.0\n", + " \n", + " return 100.0 * band_power / total_power\n", + "\n", + "\n", + "# Test the functions\n", + "band_powers = compute_all_band_powers(psd_welch, freqs_welch, EEG_BANDS)\n", + "\n", + "print(\"Absolute Band Powers:\")\n", + "for band, power in band_powers.items():\n", + " print(f\" {band.capitalize():8s}: {power:10.2f} V²\")\n", + "\n", + "print(\"\\nRelative Band Powers:\")\n", + "total_power = sum(band_powers.values())\n", + "for band, power in band_powers.items():\n", + " relative = 100 * power / total_power\n", + " print(f\" {band.capitalize():8s}: {relative:6.1f}%\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "6f911283", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: Delta and alpha bands show high power due to their large-amplitude components.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 7: Absolute Band Powers (Bar Chart)\n", + "# ============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "band_names = list(band_powers.keys())\n", + "powers = list(band_powers.values())\n", + "colors = [BAND_COLORS[band] for band in band_names]\n", + "\n", + "bars = ax.bar(\n", + " [name.capitalize() for name in band_names], \n", + " powers, \n", + " color=colors,\n", + " edgecolor=\"black\",\n", + " linewidth=1.5,\n", + ")\n", + "\n", + "# Add value labels on bars\n", + "for bar, power in zip(bars, powers):\n", + " height = bar.get_height()\n", + " ax.annotate(\n", + " f\"{power:.1f}\",\n", + " xy=(bar.get_x() + bar.get_width() / 2, height),\n", + " xytext=(0, 5),\n", + " textcoords=\"offset points\",\n", + " ha=\"center\",\n", + " va=\"bottom\",\n", + " fontsize=11,\n", + " fontweight=\"bold\",\n", + " )\n", + "\n", + "ax.set_xlabel(\"Frequency Band\", fontsize=12)\n", + "ax.set_ylabel(\"Absolute Power (V²)\", fontsize=12)\n", + "ax.set_title(\"Visualization 7: Absolute Band Powers\", fontsize=14, fontweight=\"bold\")\n", + "ax.grid(True, axis=\"y\", alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Note: Delta and alpha bands show high power due to their large-amplitude components.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "35738aee", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/tw/x1b5ldls1_s1t0h65sy4nsym0000gp/T/ipykernel_34619/1703510758.py:41: DeprecationWarning: `trapz` is deprecated. Use `trapezoid` instead, or one of the numerical integration functions in `scipy.integrate`.\n", + " band_power = np.trapz(psd_band, freqs_band)\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Relative power normalizes for overall amplitude, useful for comparing across subjects.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 8: Relative Band Powers (Stacked Bar + Pie Chart)\n", + "# ============================================================================\n", + "\n", + "# Compute relative powers\n", + "relative_powers = {}\n", + "for band, freq_range in EEG_BANDS.items():\n", + " relative_powers[band] = compute_relative_band_power(\n", + " psd_welch, freqs_welch, freq_range, total_range=(1.0, 100.0)\n", + " )\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Stacked horizontal bar\n", + "ax1 = axes[0]\n", + "left = 0\n", + "for band in band_names:\n", + " width = relative_powers[band]\n", + " ax1.barh(\n", + " 0, \n", + " width, \n", + " left=left, \n", + " color=BAND_COLORS[band], \n", + " edgecolor=\"white\",\n", + " linewidth=2,\n", + " label=f\"{band.capitalize()} ({width:.1f}%)\"\n", + " )\n", + " # Add label in the middle of each segment if wide enough\n", + " if width > 5:\n", + " ax1.text(\n", + " left + width / 2, \n", + " 0, \n", + " f\"{width:.1f}%\",\n", + " ha=\"center\", \n", + " va=\"center\", \n", + " fontsize=10,\n", + " fontweight=\"bold\",\n", + " color=\"white\",\n", + " )\n", + " left += width\n", + "\n", + "ax1.set_xlim(0, 100)\n", + "ax1.set_ylim(-0.5, 0.5)\n", + "ax1.set_xlabel(\"Relative Power (%)\", fontsize=12)\n", + "ax1.set_yticks([])\n", + "ax1.set_title(\"Stacked Bar: Relative Band Powers\", fontsize=12, fontweight=\"bold\")\n", + "ax1.legend(loc=\"upper center\", bbox_to_anchor=(0.5, -0.15), ncol=3, fontsize=9)\n", + "\n", + "# Right: Pie chart\n", + "ax2 = axes[1]\n", + "wedges, texts, autotexts = ax2.pie(\n", + " [relative_powers[band] for band in band_names],\n", + " labels=[band.capitalize() for band in band_names],\n", + " colors=[BAND_COLORS[band] for band in band_names],\n", + " autopct=\"%1.1f%%\",\n", + " startangle=90,\n", + " explode=[0.02] * len(band_names),\n", + " textprops={\"fontsize\": 10},\n", + ")\n", + "for autotext in autotexts:\n", + " autotext.set_fontweight(\"bold\")\n", + "ax2.set_title(\"Pie Chart: Relative Band Powers\", fontsize=12, fontweight=\"bold\")\n", + "\n", + "plt.suptitle(\"Visualization 8: Relative Band Power Distribution\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Relative power normalizes for overall amplitude, useful for comparing across subjects.\")" + ] + }, + { + "cell_type": "markdown", + "id": "5b7a8fca", + "metadata": {}, + "source": [ + "## 8. Comparing Conditions: Eyes Open vs Eyes Closed\n", + "\n", + "One of the most robust findings in EEG research is the **alpha enhancement** when closing the eyes.\n", + "\n", + "### The Alpha Rhythm\n", + "\n", + "- **Eyes open**: Visual processing engages occipital cortex → alpha is suppressed\n", + "- **Eyes closed**: Visual cortex \"idles\" → alpha power increases dramatically (especially at 8-12 Hz)\n", + "\n", + "This phenomenon, discovered by Hans Berger in 1929, remains a fundamental marker of cortical state.\n", + "\n", + "### Practical Application\n", + "\n", + "Comparing band powers between conditions allows us to:\n", + "1. Detect state changes (alertness, relaxation, cognitive load)\n", + "2. Identify task-related spectral modulations\n", + "3. Establish baselines for neurofeedback protocols" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f1f24a6d", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/tw/x1b5ldls1_s1t0h65sy4nsym0000gp/T/ipykernel_34619/1703510758.py:41: DeprecationWarning: `trapz` is deprecated. Use `trapezoid` instead, or one of the numerical integration functions in `scipy.integrate`.\n", + " band_power = np.trapz(psd_band, freqs_band)\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Alpha power ratio (Closed/Open): 24.0x\n", + "This dramatic alpha increase is the hallmark of the 'eyes closed' state.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 9: Eyes Open vs Eyes Closed - PSD Comparison\n", + "# ============================================================================\n", + "# Simulate two conditions with different alpha levels\n", + "\n", + "fs = 256\n", + "duration = 10.0\n", + "t = generate_time_vector(duration, fs)\n", + "np.random.seed(123)\n", + "\n", + "# Common components (same in both conditions)\n", + "delta_component = 15 * np.sin(2 * np.pi * 2 * t)\n", + "theta_component = 8 * np.sin(2 * np.pi * 6 * t)\n", + "beta_component = 4 * np.sin(2 * np.pi * 20 * t)\n", + "\n", + "# Eyes OPEN: suppressed alpha, more beta (active processing)\n", + "alpha_open = 5 * np.sin(2 * np.pi * 10 * t)\n", + "noise_open = 4 * np.random.randn(len(t))\n", + "signal_eyes_open = delta_component + theta_component + alpha_open + beta_component * 1.5 + noise_open\n", + "\n", + "# Eyes CLOSED: enhanced alpha (idling visual cortex)\n", + "alpha_closed = 25 * np.sin(2 * np.pi * 10 * t) # Much stronger alpha!\n", + "noise_closed = 4 * np.random.randn(len(t))\n", + "signal_eyes_closed = delta_component + theta_component + alpha_closed + beta_component + noise_closed\n", + "\n", + "# Compute PSDs\n", + "freqs_open, psd_open = compute_psd_welch(signal_eyes_open, fs, nperseg=fs*2)\n", + "freqs_closed, psd_closed = compute_psd_welch(signal_eyes_closed, fs, nperseg=fs*2)\n", + "\n", + "# Plot comparison\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Overlay PSDs\n", + "ax1 = axes[0]\n", + "ax1.semilogy(freqs_open, psd_open, color=COLORS[\"signal_1\"], linewidth=2, label=\"Eyes Open\")\n", + "ax1.semilogy(freqs_closed, psd_closed, color=COLORS[\"signal_2\"], linewidth=2, label=\"Eyes Closed\")\n", + "\n", + "# Highlight alpha band\n", + "ax1.axvspan(8, 13, alpha=0.2, color=BAND_COLORS[\"alpha\"], label=\"Alpha band\")\n", + "\n", + "ax1.set_xlabel(\"Frequency (Hz)\", fontsize=12)\n", + "ax1.set_ylabel(\"PSD (V²/Hz)\", fontsize=12)\n", + "ax1.set_title(\"PSD Comparison\", fontsize=12, fontweight=\"bold\")\n", + "ax1.set_xlim(0, 40)\n", + "ax1.legend(fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Right: Band power comparison\n", + "ax2 = axes[1]\n", + "\n", + "# Compute band powers for both conditions\n", + "powers_open = compute_all_band_powers(psd_open, freqs_open, EEG_BANDS)\n", + "powers_closed = compute_all_band_powers(psd_closed, freqs_closed, EEG_BANDS)\n", + "\n", + "bands_to_plot = [\"delta\", \"theta\", \"alpha\", \"beta\"]\n", + "x = np.arange(len(bands_to_plot))\n", + "width = 0.35\n", + "\n", + "bars_open = ax2.bar(\n", + " x - width/2, \n", + " [powers_open[b] for b in bands_to_plot],\n", + " width, \n", + " label=\"Eyes Open\", \n", + " color=COLORS[\"signal_1\"],\n", + " edgecolor=\"black\",\n", + ")\n", + "bars_closed = ax2.bar(\n", + " x + width/2, \n", + " [powers_closed[b] for b in bands_to_plot],\n", + " width, \n", + " label=\"Eyes Closed\", \n", + " color=COLORS[\"signal_2\"],\n", + " edgecolor=\"black\",\n", + ")\n", + "\n", + "ax2.set_xlabel(\"Frequency Band\", fontsize=12)\n", + "ax2.set_ylabel(\"Absolute Power (V²)\", fontsize=12)\n", + "ax2.set_title(\"Band Power Comparison\", fontsize=12, fontweight=\"bold\")\n", + "ax2.set_xticks(x)\n", + "ax2.set_xticklabels([b.capitalize() for b in bands_to_plot])\n", + "ax2.legend(fontsize=10)\n", + "ax2.grid(True, axis=\"y\", alpha=0.3)\n", + "\n", + "plt.suptitle(\"Visualization 9: Eyes Open vs Eyes Closed\", fontsize=14, fontweight=\"bold\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print alpha enhancement\n", + "alpha_ratio = powers_closed[\"alpha\"] / powers_open[\"alpha\"]\n", + "print(f\"Alpha power ratio (Closed/Open): {alpha_ratio:.1f}x\")\n", + "print(\"This dramatic alpha increase is the hallmark of the 'eyes closed' state.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "114828c9", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/tw/x1b5ldls1_s1t0h65sy4nsym0000gp/T/ipykernel_34619/1703510758.py:41: DeprecationWarning: `trapz` is deprecated. Use `trapezoid` instead, or one of the numerical integration functions in `scipy.integrate`.\n", + " band_power = np.trapz(psd_band, freqs_band)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The radar chart clearly shows the shift toward alpha dominance with eyes closed.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 10: Spectral Profile Change (Radar Chart)\n", + "# ============================================================================\n", + "# Show relative power distribution as a radar/spider chart\n", + "\n", + "from matplotlib.patches import Patch\n", + "\n", + "# Compute relative powers for both conditions\n", + "relative_open = {}\n", + "relative_closed = {}\n", + "for band, freq_range in EEG_BANDS.items():\n", + " relative_open[band] = compute_relative_band_power(psd_open, freqs_open, freq_range)\n", + " relative_closed[band] = compute_relative_band_power(psd_closed, freqs_closed, freq_range)\n", + "\n", + "# Prepare data for radar chart\n", + "bands_radar = [\"delta\", \"theta\", \"alpha\", \"beta\", \"gamma\"]\n", + "values_open = [relative_open[b] for b in bands_radar]\n", + "values_closed = [relative_closed[b] for b in bands_radar]\n", + "\n", + "# Close the polygon\n", + "values_open += values_open[:1]\n", + "values_closed += values_closed[:1]\n", + "\n", + "# Compute angles\n", + "angles = np.linspace(0, 2 * np.pi, len(bands_radar), endpoint=False).tolist()\n", + "angles += angles[:1]\n", + "\n", + "# Create radar chart\n", + "fig, ax = plt.subplots(figsize=(8, 8), subplot_kw=dict(polar=True))\n", + "\n", + "ax.plot(angles, values_open, \"o-\", linewidth=2, color=COLORS[\"signal_1\"], label=\"Eyes Open\")\n", + "ax.fill(angles, values_open, alpha=0.25, color=COLORS[\"signal_1\"])\n", + "\n", + "ax.plot(angles, values_closed, \"o-\", linewidth=2, color=COLORS[\"signal_2\"], label=\"Eyes Closed\")\n", + "ax.fill(angles, values_closed, alpha=0.25, color=COLORS[\"signal_2\"])\n", + "\n", + "# Set labels\n", + "ax.set_xticks(angles[:-1])\n", + "ax.set_xticklabels([b.capitalize() for b in bands_radar], fontsize=12)\n", + "\n", + "ax.set_title(\"Visualization 10: Spectral Profile (Relative Powers)\", fontsize=14, fontweight=\"bold\", y=1.08)\n", + "ax.legend(loc=\"upper right\", bbox_to_anchor=(1.3, 1.0), fontsize=11)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The radar chart clearly shows the shift toward alpha dominance with eyes closed.\")" + ] + }, + { + "cell_type": "markdown", + "id": "56d37f8b", + "metadata": {}, + "source": [ + "## 9. The Decibel Scale\n", + "\n", + "Power values in EEG can span several orders of magnitude. The **decibel (dB)** scale compresses this range for better visualization and interpretation.\n", + "\n", + "### Why Use Decibels?\n", + "\n", + "1. **Dynamic range compression**: Power ratios of 1,000,000:1 become 60 dB\n", + "2. **Perceptual relevance**: Our senses respond logarithmically to stimuli\n", + "3. **Additive comparisons**: Multiplying powers = adding dB values\n", + "\n", + "### The Formula\n", + "\n", + "$$P_{dB} = 10 \\cdot \\log_{10}\\left(\\frac{P}{P_{ref}}\\right)$$\n", + "\n", + "where:\n", + "- $P$ is the power value\n", + "- $P_{ref}$ is the reference power (often 1 or the minimum non-zero value)\n", + "\n", + "**Key relationships:**\n", + "- Doubling power ≈ +3 dB\n", + "- 10× power = +10 dB\n", + "- 100× power = +20 dB" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "446cd174", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Power to dB conversion examples:\n", + " 1 → 0.0 dB\n", + " 2 → 3.0 dB\n", + " 10 → 10.0 dB\n", + " 100 → 20.0 dB\n", + " 1000 → 30.0 dB\n", + "\n", + "Key insight: Each 10× increase in power = +10 dB\n" + ] + } + ], + "source": [ + "def power_to_db(\n", + " power: NDArray[np.floating],\n", + " ref: float | None = None,\n", + " min_db: float = -100.0,\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Convert power values to decibels (dB).\n", + " \n", + " Parameters\n", + " ----------\n", + " power : NDArray[np.floating]\n", + " Power values to convert.\n", + " ref : float | None, optional\n", + " Reference power value. If None, uses the maximum power value.\n", + " Common choices: 1.0 (absolute), max(power) (relative to peak).\n", + " min_db : float, optional\n", + " Minimum dB value to return (clips very small values). Default is -100.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Power values in decibels.\n", + " \n", + " Examples\n", + " --------\n", + " >>> power = np.array([1, 10, 100, 1000])\n", + " >>> power_to_db(power, ref=1.0)\n", + " array([ 0., 10., 20., 30.])\n", + " \n", + " Notes\n", + " -----\n", + " - Uses 10*log10 (power ratio), not 20*log10 (amplitude ratio)\n", + " - Zero or negative power values are clipped to min_db\n", + " \"\"\"\n", + " power = np.asarray(power, dtype=np.float64)\n", + " \n", + " if ref is None:\n", + " ref = np.max(power)\n", + " \n", + " # Avoid log of zero or negative values\n", + " power_safe = np.maximum(power, np.finfo(float).tiny)\n", + " \n", + " db_values = 10.0 * np.log10(power_safe / ref)\n", + " \n", + " # Clip to minimum dB\n", + " db_values = np.maximum(db_values, min_db)\n", + " \n", + " return db_values\n", + "\n", + "\n", + "# Demonstrate dB conversion\n", + "print(\"Power to dB conversion examples:\")\n", + "test_powers = np.array([1, 2, 10, 100, 1000])\n", + "test_db = power_to_db(test_powers, ref=1.0)\n", + "for p, db in zip(test_powers, test_db):\n", + " print(f\" {p:4d} → {db:5.1f} dB\")\n", + "\n", + "print(\"\\nKey insight: Each 10× increase in power = +10 dB\")" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "117f1073", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The dB scale reveals structure across the full dynamic range.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 11: PSD in Linear vs Decibel Scale\n", + "# ============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Use the composite signal PSD from earlier\n", + "psd_db = power_to_db(psd_welch, ref=np.max(psd_welch))\n", + "\n", + "# Left: Linear scale\n", + "ax1 = axes[0]\n", + "ax1.plot(freqs_welch, psd_welch, color=COLORS[\"signal_1\"], linewidth=2)\n", + "ax1.set_xlabel(\"Frequency (Hz)\", fontsize=12)\n", + "ax1.set_ylabel(\"PSD (V²/Hz)\", fontsize=12)\n", + "ax1.set_title(\"Linear Scale\", fontsize=12, fontweight=\"bold\")\n", + "ax1.set_xlim(0, 60)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Annotate: low power regions are barely visible\n", + "ax1.annotate(\n", + " \"Low-power details\\nhard to see\",\n", + " xy=(40, psd_welch[np.argmin(np.abs(freqs_welch - 40))]),\n", + " xytext=(45, np.max(psd_welch) * 0.3),\n", + " fontsize=10,\n", + " arrowprops=dict(arrowstyle=\"->\", color=\"gray\"),\n", + " ha=\"center\",\n", + ")\n", + "\n", + "# Right: Decibel scale\n", + "ax2 = axes[1]\n", + "ax2.plot(freqs_welch, psd_db, color=COLORS[\"signal_2\"], linewidth=2)\n", + "ax2.set_xlabel(\"Frequency (Hz)\", fontsize=12)\n", + "ax2.set_ylabel(\"PSD (dB, ref=max)\", fontsize=12)\n", + "ax2.set_title(\"Decibel Scale\", fontsize=12, fontweight=\"bold\")\n", + "ax2.set_xlim(0, 60)\n", + "ax2.set_ylim(-60, 5)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Annotate: now details are visible\n", + "ax2.annotate(\n", + " \"Details now\\nvisible!\",\n", + " xy=(40, psd_db[np.argmin(np.abs(freqs_welch - 40))]),\n", + " xytext=(50, -20),\n", + " fontsize=10,\n", + " arrowprops=dict(arrowstyle=\"->\", color=\"gray\"),\n", + " ha=\"center\",\n", + ")\n", + "\n", + "plt.suptitle(\"Visualization 11: Linear vs Decibel Scale\", fontsize=14, fontweight=\"bold\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The dB scale reveals structure across the full dynamic range.\")" + ] + }, + { + "cell_type": "markdown", + "id": "d6d4b82d", + "metadata": {}, + "source": [ + "## 10. Practical Example: Realistic EEG-like Signal\n", + "\n", + "Real EEG signals have a characteristic **1/f spectrum** (pink noise) with superimposed oscillatory activity. Let's create and analyze a realistic synthetic EEG signal.\n", + "\n", + "### Components of Real EEG:\n", + "1. **1/f background**: Power decreases with frequency (aperiodic component)\n", + "2. **Oscillatory peaks**: Alpha, beta, etc. appear as bumps on top of 1/f\n", + "3. **Noise**: Various sources add broadband noise" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "c5fc2503", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Generated 30.0s of realistic EEG-like data at 256 Hz\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 12: Realistic EEG Analysis Pipeline\n", + "# ============================================================================\n", + "\n", + "def generate_pink_noise(n_samples: int, fs: float, seed: int | None = None) -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Generate 1/f (pink) noise using spectral synthesis.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples to generate.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " seed : int | None, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Pink noise signal.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " # Generate white noise in frequency domain\n", + " n_freqs = n_samples // 2 + 1\n", + " freqs = np.fft.rfftfreq(n_samples, 1/fs)\n", + " \n", + " # Create 1/f magnitude spectrum (avoid division by zero)\n", + " freqs_safe = np.where(freqs == 0, 1, freqs)\n", + " magnitude = 1.0 / np.sqrt(freqs_safe)\n", + " magnitude[0] = 0 # No DC component\n", + " \n", + " # Random phases\n", + " phases = np.random.uniform(0, 2 * np.pi, n_freqs)\n", + " \n", + " # Construct spectrum and inverse FFT\n", + " spectrum = magnitude * np.exp(1j * phases)\n", + " pink = np.fft.irfft(spectrum, n_samples)\n", + " \n", + " # Normalize\n", + " pink = pink / np.std(pink)\n", + " \n", + " return pink\n", + "\n", + "\n", + "# Create a realistic EEG-like signal\n", + "fs = 256\n", + "duration = 30.0 # 30 seconds of data\n", + "t = generate_time_vector(duration, fs)\n", + "n_samples = len(t)\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# 1. Pink noise background (1/f)\n", + "pink_noise = 10 * generate_pink_noise(n_samples, fs, seed=42)\n", + "\n", + "# 2. Alpha oscillation (10 Hz) - the dominant rhythm\n", + "alpha_amplitude = 8\n", + "alpha_freq = 10\n", + "# Add some amplitude modulation for realism\n", + "alpha_envelope = 1 + 0.3 * np.sin(2 * np.pi * 0.2 * t) # Slow modulation\n", + "alpha_osc = alpha_amplitude * alpha_envelope * np.sin(2 * np.pi * alpha_freq * t)\n", + "\n", + "# 3. Beta oscillation (20 Hz) - smaller amplitude\n", + "beta_osc = 3 * np.sin(2 * np.pi * 20 * t)\n", + "\n", + "# 4. Theta burst (6 Hz) - intermittent\n", + "theta_burst = np.zeros_like(t)\n", + "burst_start = int(10 * fs) # Start at 10 seconds\n", + "burst_end = int(15 * fs) # End at 15 seconds\n", + "theta_burst[burst_start:burst_end] = 12 * np.sin(2 * np.pi * 6 * t[burst_start:burst_end])\n", + "\n", + "# 5. White noise (measurement noise)\n", + "white_noise = 2 * np.random.randn(n_samples)\n", + "\n", + "# Combine all components\n", + "eeg_signal = pink_noise + alpha_osc + beta_osc + theta_burst + white_noise\n", + "\n", + "print(f\"Generated {duration}s of realistic EEG-like data at {fs} Hz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "29f22c94", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/tw/x1b5ldls1_s1t0h65sy4nsym0000gp/T/ipykernel_34619/1703510758.py:41: DeprecationWarning: `trapz` is deprecated. Use `trapezoid` instead, or one of the numerical integration functions in `scipy.integrate`.\n", + " band_power = np.trapz(psd_band, freqs_band)\n", + "/var/folders/tw/x1b5ldls1_s1t0h65sy4nsym0000gp/T/ipykernel_34619/3934509928.py:125: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " plt.tight_layout()\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Complete analysis pipeline visualization\n", + "fig = plt.figure(figsize=(14, 10))\n", + "\n", + "# Create grid for subplots\n", + "gs = fig.add_gridspec(3, 2, height_ratios=[1, 1.2, 1], hspace=0.35, wspace=0.3)\n", + "\n", + "# ---- Row 1: Time series ----\n", + "ax1 = fig.add_subplot(gs[0, :])\n", + "time_window = (8, 18) # Show 10 seconds including theta burst\n", + "mask = (t >= time_window[0]) & (t <= time_window[1])\n", + "ax1.plot(t[mask], eeg_signal[mask], color=COLORS[\"signal_1\"], linewidth=0.8)\n", + "ax1.axvspan(10, 15, alpha=0.2, color=BAND_COLORS[\"theta\"], label=\"Theta burst\")\n", + "ax1.set_xlabel(\"Time (s)\", fontsize=11)\n", + "ax1.set_ylabel(\"Amplitude (µV)\", fontsize=11)\n", + "ax1.set_title(\"A) Time Series (10-second window)\", fontsize=12, fontweight=\"bold\")\n", + "ax1.legend(loc=\"upper right\")\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# ---- Row 2: PSD with bands ----\n", + "ax2 = fig.add_subplot(gs[1, 0])\n", + "\n", + "# Compute PSD\n", + "freqs_eeg, psd_eeg = compute_psd_welch(eeg_signal, fs, nperseg=fs*4)\n", + "psd_eeg_db = power_to_db(psd_eeg, ref=np.max(psd_eeg))\n", + "\n", + "ax2.plot(freqs_eeg, psd_eeg_db, color=COLORS[\"signal_2\"], linewidth=2)\n", + "\n", + "# Shade frequency bands\n", + "for band_name, (f_low, f_high) in EEG_BANDS.items():\n", + " if f_high <= 50: # Only show up to 50 Hz\n", + " ax2.axvspan(f_low, f_high, alpha=0.15, color=BAND_COLORS[band_name])\n", + "\n", + "# Mark peaks\n", + "ax2.axvline(10, color=BAND_COLORS[\"alpha\"], linestyle=\"--\", alpha=0.7, label=\"Alpha peak\")\n", + "ax2.axvline(20, color=BAND_COLORS[\"beta\"], linestyle=\"--\", alpha=0.7, label=\"Beta peak\")\n", + "\n", + "ax2.set_xlabel(\"Frequency (Hz)\", fontsize=11)\n", + "ax2.set_ylabel(\"PSD (dB)\", fontsize=11)\n", + "ax2.set_title(\"B) Power Spectral Density\", fontsize=12, fontweight=\"bold\")\n", + "ax2.set_xlim(0, 50)\n", + "ax2.set_ylim(-50, 5)\n", + "ax2.legend(fontsize=9)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# ---- Row 2: Band powers bar chart ----\n", + "ax3 = fig.add_subplot(gs[1, 1])\n", + "\n", + "band_powers_eeg = compute_all_band_powers(psd_eeg, freqs_eeg, EEG_BANDS)\n", + "bands_plot = [\"delta\", \"theta\", \"alpha\", \"beta\", \"gamma\"]\n", + "powers_plot = [band_powers_eeg[b] for b in bands_plot]\n", + "colors_plot = [BAND_COLORS[b] for b in bands_plot]\n", + "\n", + "bars = ax3.bar(\n", + " [b.capitalize() for b in bands_plot],\n", + " powers_plot,\n", + " color=colors_plot,\n", + " edgecolor=\"black\",\n", + " linewidth=1.5,\n", + ")\n", + "ax3.set_xlabel(\"Frequency Band\", fontsize=11)\n", + "ax3.set_ylabel(\"Absolute Power (µV²)\", fontsize=11)\n", + "ax3.set_title(\"C) Absolute Band Powers\", fontsize=12, fontweight=\"bold\")\n", + "ax3.set_yscale(\"log\")\n", + "ax3.grid(True, axis=\"y\", alpha=0.3)\n", + "\n", + "# ---- Row 3: Relative powers ----\n", + "ax4 = fig.add_subplot(gs[2, 0])\n", + "\n", + "relative_powers_eeg = {}\n", + "for band, freq_range in EEG_BANDS.items():\n", + " relative_powers_eeg[band] = compute_relative_band_power(psd_eeg, freqs_eeg, freq_range)\n", + "\n", + "# Stacked bar\n", + "left = 0\n", + "for band in bands_plot:\n", + " width = relative_powers_eeg[band]\n", + " ax4.barh(0, width, left=left, color=BAND_COLORS[band], edgecolor=\"white\", height=0.6)\n", + " if width > 8:\n", + " ax4.text(left + width/2, 0, f\"{width:.0f}%\", ha=\"center\", va=\"center\", \n", + " fontsize=10, fontweight=\"bold\", color=\"white\")\n", + " left += width\n", + "\n", + "ax4.set_xlim(0, 100)\n", + "ax4.set_ylim(-0.5, 0.5)\n", + "ax4.set_xlabel(\"Relative Power (%)\", fontsize=11)\n", + "ax4.set_yticks([])\n", + "ax4.set_title(\"D) Relative Band Power Distribution\", fontsize=12, fontweight=\"bold\")\n", + "\n", + "# Legend\n", + "from matplotlib.patches import Patch\n", + "legend_elements = [Patch(facecolor=BAND_COLORS[b], label=f\"{b.capitalize()}\") for b in bands_plot]\n", + "ax4.legend(handles=legend_elements, loc=\"upper center\", bbox_to_anchor=(0.5, -0.2), ncol=5, fontsize=9)\n", + "\n", + "# ---- Row 3: Summary text ----\n", + "ax5 = fig.add_subplot(gs[2, 1])\n", + "ax5.axis(\"off\")\n", + "\n", + "summary_text = \"\"\"\n", + "ANALYSIS SUMMARY\n", + "═══════════════════════════════════\n", + "\n", + "Dominant rhythm: Alpha (10 Hz)\n", + " → {alpha_pct:.1f}% of total power\n", + "\n", + "Secondary activity: Delta (1-4 Hz)\n", + " → High power due to 1/f background\n", + "\n", + "Notable features:\n", + " • Clear alpha peak at 10 Hz\n", + " • Smaller beta peak at 20 Hz\n", + " • 1/f slope in log-log space\n", + "\n", + "Clinical interpretation:\n", + " → Normal resting-state pattern\n", + " → Alpha dominance indicates\n", + " relaxed wakefulness\n", + "\"\"\".format(alpha_pct=relative_powers_eeg[\"alpha\"])\n", + "\n", + "ax5.text(0.1, 0.95, summary_text, transform=ax5.transAxes, fontsize=10,\n", + " verticalalignment=\"top\", fontfamily=\"monospace\",\n", + " bbox=dict(boxstyle=\"round\", facecolor=\"wheat\", alpha=0.5))\n", + "\n", + "plt.suptitle(\"Visualization 12: Complete EEG Spectral Analysis Pipeline\", \n", + " fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "5ed550e5", + "metadata": {}, + "source": [ + "## 11. Exercises\n", + "\n", + "Test your understanding with these hands-on exercises." + ] + }, + { + "cell_type": "markdown", + "id": "95e9fe17", + "metadata": {}, + "source": [ + "### 🎯 Exercise 1: Impact of Segment Length on Welch PSD\n", + "\n", + "Create a signal with a 10 Hz component and compare Welch PSD estimates using different `nperseg` values (64, 256, 1024 samples). Plot all three PSDs on the same figure.\n", + "\n", + "**Questions to answer:**\n", + "- How does `nperseg` affect frequency resolution?\n", + "- How does it affect variance (smoothness)?\n", + "- What is the trade-off?" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "4b82b921", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: Your code here\n", + "# ---------------------------\n", + "\n", + "# Create a 10-second signal at 256 Hz with a 10 Hz component\n", + "fs_ex1 = 256\n", + "duration_ex1 = 10.0\n", + "t_ex1 = generate_time_vector(duration_ex1, fs_ex1)\n", + "\n", + "# Signal: 10 Hz sine + noise\n", + "signal_ex1 = 5 * np.sin(2 * np.pi * 10 * t_ex1) + np.random.randn(len(t_ex1))\n", + "\n", + "# Compute Welch PSD with different nperseg values\n", + "nperseg_values = [64, 256, 1024]\n", + "\n", + "# TODO: Compute PSD for each nperseg and plot\n", + "\n", + "# fig, ax = plt.subplots(figsize=(10, 6))\n", + "# for nperseg in nperseg_values:\n", + "# freqs, psd = compute_psd_welch(signal_ex1, fs_ex1, nperseg=nperseg)\n", + "# ax.semilogy(freqs, psd, label=f\"nperseg={nperseg}\")\n", + "# ...\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "16b247e6", + "metadata": {}, + "source": [ + "
\n", + "💡 Solution Exercise 1\n", + "\n", + "```python\n", + "# Create a 10-second signal at 256 Hz with a 10 Hz component\n", + "fs_ex1 = 256\n", + "duration_ex1 = 10.0\n", + "t_ex1 = generate_time_vector(duration_ex1, fs_ex1)\n", + "\n", + "# Signal: 10 Hz sine + noise\n", + "signal_ex1 = 5 * np.sin(2 * np.pi * 10 * t_ex1) + np.random.randn(len(t_ex1))\n", + "\n", + "# Compute Welch PSD with different nperseg values\n", + "nperseg_values = [64, 256, 1024]\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "for nperseg in nperseg_values:\n", + " freqs, psd = compute_psd_welch(signal_ex1, fs_ex1, nperseg=nperseg)\n", + " freq_res = fs_ex1 / nperseg\n", + " ax.semilogy(freqs, psd, linewidth=2, label=f\"nperseg={nperseg} (Δf={freq_res:.2f} Hz)\")\n", + "\n", + "ax.axvline(10, color=\"red\", linestyle=\"--\", alpha=0.5, label=\"True frequency\")\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"PSD (V²/Hz)\")\n", + "ax.set_title(\"Effect of nperseg on Welch PSD\")\n", + "ax.set_xlim(0, 30)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n", + "print(\"Answers:\")\n", + "print(\"- Larger nperseg → better frequency resolution (narrower peaks)\")\n", + "print(\"- Smaller nperseg → more averaging → smoother (lower variance)\")\n", + "print(\"- Trade-off: resolution vs. variance reduction\")\n", + "```\n", + "\n", + "**Key insights:**\n", + "- `nperseg=64`: Poor resolution (Δf=4 Hz), but smooth curve\n", + "- `nperseg=1024`: Excellent resolution (Δf=0.25 Hz), but noisy\n", + "- `nperseg=256`: Good compromise for many EEG applications\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "556f9d6c", + "metadata": {}, + "source": [ + "### 🎯 Exercise 2: Band Power Ratio (Alpha/Beta)\n", + "\n", + "The **alpha/beta ratio** is often used as an index of cortical arousal:\n", + "- High ratio → relaxed state (alpha dominant)\n", + "- Low ratio → alert/active state (beta dominant)\n", + "\n", + "Create two signals simulating \"relaxed\" and \"alert\" states, compute the alpha/beta ratio for each, and visualize the difference." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "b06e6777", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Your code here\n", + "# ---------------------------\n", + "\n", + "fs_ex2 = 256\n", + "duration_ex2 = 10.0\n", + "t_ex2 = generate_time_vector(duration_ex2, fs_ex2)\n", + "\n", + "# TODO: Create \"relaxed\" signal (strong alpha, weak beta)\n", + "# signal_relaxed = ...\n", + "\n", + "# TODO: Create \"alert\" signal (weak alpha, strong beta)\n", + "# signal_alert = ...\n", + "\n", + "# TODO: Compute PSD and band powers for each\n", + "\n", + "# TODO: Calculate alpha/beta ratio\n", + "\n", + "# TODO: Visualize with a bar chart comparing the ratios\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "09766dba", + "metadata": {}, + "source": [ + "
\n", + "💡 Solution Exercise 2\n", + "\n", + "```python\n", + "fs_ex2 = 256\n", + "duration_ex2 = 10.0\n", + "t_ex2 = generate_time_vector(duration_ex2, fs_ex2)\n", + "np.random.seed(42)\n", + "\n", + "# \"Relaxed\" signal: strong alpha (10 Hz), weak beta (20 Hz)\n", + "signal_relaxed = (15 * np.sin(2 * np.pi * 10 * t_ex2) + # Strong alpha\n", + " 3 * np.sin(2 * np.pi * 20 * t_ex2) + # Weak beta\n", + " 2 * np.random.randn(len(t_ex2)))\n", + "\n", + "# \"Alert\" signal: weak alpha, strong beta\n", + "signal_alert = (3 * np.sin(2 * np.pi * 10 * t_ex2) + # Weak alpha\n", + " 12 * np.sin(2 * np.pi * 20 * t_ex2) + # Strong beta\n", + " 2 * np.random.randn(len(t_ex2)))\n", + "\n", + "# Compute PSDs\n", + "freqs_relaxed, psd_relaxed = compute_psd_welch(signal_relaxed, fs_ex2, nperseg=512)\n", + "freqs_alert, psd_alert = compute_psd_welch(signal_alert, fs_ex2, nperseg=512)\n", + "\n", + "# Compute band powers\n", + "alpha_relaxed = compute_band_power(psd_relaxed, freqs_relaxed, (8, 13))\n", + "beta_relaxed = compute_band_power(psd_relaxed, freqs_relaxed, (13, 30))\n", + "alpha_alert = compute_band_power(psd_alert, freqs_alert, (8, 13))\n", + "beta_alert = compute_band_power(psd_alert, freqs_alert, (13, 30))\n", + "\n", + "# Alpha/Beta ratios\n", + "ratio_relaxed = alpha_relaxed / beta_relaxed\n", + "ratio_alert = alpha_alert / beta_alert\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Bar chart of ratios\n", + "ax1 = axes[0]\n", + "ax1.bar([\"Relaxed\", \"Alert\"], [ratio_relaxed, ratio_alert], \n", + " color=[COLORS[\"signal_1\"], COLORS[\"signal_2\"]], edgecolor=\"black\")\n", + "ax1.set_ylabel(\"Alpha/Beta Ratio\")\n", + "ax1.set_title(\"Alpha/Beta Ratio by State\")\n", + "ax1.axhline(1, color=\"gray\", linestyle=\"--\", label=\"Ratio = 1\")\n", + "ax1.legend()\n", + "\n", + "# PSD comparison\n", + "ax2 = axes[1]\n", + "ax2.semilogy(freqs_relaxed, psd_relaxed, label=\"Relaxed\", color=COLORS[\"signal_1\"])\n", + "ax2.semilogy(freqs_alert, psd_alert, label=\"Alert\", color=COLORS[\"signal_2\"])\n", + "ax2.axvspan(8, 13, alpha=0.2, color=\"purple\", label=\"Alpha\")\n", + "ax2.axvspan(13, 30, alpha=0.2, color=\"red\", label=\"Beta\")\n", + "ax2.set_xlim(0, 40)\n", + "ax2.legend()\n", + "ax2.set_title(\"PSD Comparison\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Relaxed state: Alpha/Beta = {ratio_relaxed:.2f}\")\n", + "print(f\"Alert state: Alpha/Beta = {ratio_alert:.2f}\")\n", + "```\n", + "\n", + "**Interpretation:**\n", + "- High alpha/beta ratio (>1) → relaxed, idling state\n", + "- Low alpha/beta ratio (<1) → alert, engaged state\n", + "- This ratio is used in neurofeedback and cognitive workload assessment\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "a240f411", + "metadata": {}, + "source": [ + "### 🎯 Exercise 3: Custom Frequency Band\n", + "\n", + "Some research uses non-standard frequency bands. Create a function that allows arbitrary band definitions and test it with a \"low gamma\" band (30-50 Hz).\n", + "\n", + "**Task:**\n", + "1. Generate a signal with a 40 Hz component\n", + "2. Compute the PSD\n", + "3. Use `compute_band_power` with the custom range (30, 50) Hz\n", + "4. Verify the power is concentrated in this band" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "bd8e4675", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 3: Your code here\n", + "# ---------------------------\n", + "\n", + "fs_ex3 = 256\n", + "duration_ex3 = 10.0\n", + "t_ex3 = generate_time_vector(duration_ex3, fs_ex3)\n", + "\n", + "# TODO: Create signal with 40 Hz component + noise\n", + "# signal_ex3 = ...\n", + "\n", + "# TODO: Compute PSD\n", + "\n", + "# TODO: Compute power in custom \"low gamma\" band (30-50 Hz)\n", + "# low_gamma_power = compute_band_power(psd, freqs, (30, 50))\n", + "\n", + "# TODO: Compare to standard gamma band and total power\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "974e62b4", + "metadata": {}, + "source": [ + "
\n", + "💡 Solution Exercise 3\n", + "\n", + "```python\n", + "fs_ex3 = 256\n", + "duration_ex3 = 10.0\n", + "t_ex3 = generate_time_vector(duration_ex3, fs_ex3)\n", + "np.random.seed(123)\n", + "\n", + "# Create signal with 40 Hz component + noise\n", + "signal_ex3 = 8 * np.sin(2 * np.pi * 40 * t_ex3) + 2 * np.random.randn(len(t_ex3))\n", + "\n", + "# Compute PSD\n", + "freqs_ex3, psd_ex3 = compute_psd_welch(signal_ex3, fs_ex3, nperseg=512)\n", + "\n", + "# Compute power in custom \"low gamma\" band (30-50 Hz)\n", + "low_gamma_power = compute_band_power(psd_ex3, freqs_ex3, (30, 50))\n", + "\n", + "# Compare to standard gamma and other bands\n", + "standard_gamma_power = compute_band_power(psd_ex3, freqs_ex3, (30, 100))\n", + "total_power = compute_band_power(psd_ex3, freqs_ex3, (1, 100))\n", + "alpha_power = compute_band_power(psd_ex3, freqs_ex3, (8, 13))\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# PSD with bands highlighted\n", + "ax1 = axes[0]\n", + "ax1.semilogy(freqs_ex3, psd_ex3, color=COLORS[\"signal_1\"], linewidth=2)\n", + "ax1.axvspan(30, 50, alpha=0.3, color=\"orange\", label=\"Low gamma (30-50 Hz)\")\n", + "ax1.axvspan(50, 100, alpha=0.2, color=\"yellow\", label=\"High gamma (50-100 Hz)\")\n", + "ax1.axvline(40, color=\"red\", linestyle=\"--\", label=\"40 Hz component\")\n", + "ax1.set_xlabel(\"Frequency (Hz)\")\n", + "ax1.set_ylabel(\"PSD (V²/Hz)\")\n", + "ax1.set_title(\"PSD with Custom Band\")\n", + "ax1.set_xlim(0, 80)\n", + "ax1.legend()\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Bar chart of band powers\n", + "ax2 = axes[1]\n", + "band_labels = [\"Alpha\\n(8-13)\", \"Low Gamma\\n(30-50)\", \"Std Gamma\\n(30-100)\"]\n", + "powers = [alpha_power, low_gamma_power, standard_gamma_power]\n", + "ax2.bar(band_labels, powers, color=[\"purple\", \"orange\", \"yellow\"], edgecolor=\"black\")\n", + "ax2.set_ylabel(\"Absolute Power (V²)\")\n", + "ax2.set_title(\"Band Power Comparison\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Low gamma (30-50 Hz) power: {low_gamma_power:.2f} V²\")\n", + "print(f\"Standard gamma (30-100 Hz) power: {standard_gamma_power:.2f} V²\")\n", + "print(f\"Low gamma / Total: {100*low_gamma_power/total_power:.1f}%\")\n", + "```\n", + "\n", + "**Key insight:**\n", + "Custom bands allow you to target specific frequency ranges of interest. \n", + "The 40 Hz component is fully captured by the low gamma band (30-50 Hz).\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "0fbe95e6", + "metadata": {}, + "source": [ + "### 🎯 Exercise 4: Spectral Analysis Pipeline\n", + "\n", + "Build a complete spectral analysis function that takes a signal and returns a structured report.\n", + "\n", + "**Function specification:**\n", + "```python\n", + "def spectral_report(signal, fs, bands=None):\n", + " \"\"\"\n", + " Generate a complete spectral analysis report.\n", + " \n", + " Returns\n", + " -------\n", + " dict\n", + " Dictionary containing:\n", + " - 'freqs': frequency array\n", + " - 'psd': PSD array\n", + " - 'psd_db': PSD in decibels\n", + " - 'band_powers': dict of absolute band powers\n", + " - 'relative_powers': dict of relative band powers (%)\n", + " - 'dominant_band': name of the band with highest power\n", + " - 'peak_frequency': frequency of maximum PSD\n", + " \"\"\"\n", + "```\n", + "\n", + "Test your function on the `eeg_signal` we created earlier." + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "2c2db922", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 4: Your code here\n", + "# ---------------------------\n", + "\n", + "def spectral_report(\n", + " signal: NDArray[np.floating],\n", + " fs: float,\n", + " bands: dict[str, tuple[float, float]] | None = None,\n", + ") -> dict:\n", + " \"\"\"\n", + " Generate a complete spectral analysis report.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.floating]\n", + " Input signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " bands : dict[str, tuple[float, float]] | None, optional\n", + " Frequency bands. If None, uses standard EEG bands.\n", + " \n", + " Returns\n", + " -------\n", + " dict\n", + " Spectral analysis results.\n", + " \"\"\"\n", + " # TODO: Implement the function\n", + " # 1. Compute PSD using Welch\n", + " # 2. Convert to dB\n", + " # 3. Compute absolute band powers\n", + " # 4. Compute relative band powers\n", + " # 5. Find dominant band and peak frequency\n", + " \n", + " pass # Replace with your implementation\n", + "\n", + "\n", + "# Test the function\n", + "# report = spectral_report(eeg_signal, fs)\n", + "# print(f\"Dominant band: {report['dominant_band']}\")\n", + "# print(f\"Peak frequency: {report['peak_frequency']:.1f} Hz\")\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "88edf75b", + "metadata": {}, + "source": [ + "
\n", + "💡 Solution Exercise 4\n", + "\n", + "```python\n", + "def spectral_report(\n", + " signal: NDArray[np.floating],\n", + " fs: float,\n", + " bands: dict[str, tuple[float, float]] | None = None,\n", + ") -> dict:\n", + " \"\"\"\n", + " Generate a complete spectral analysis report.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.floating]\n", + " Input signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " bands : dict[str, tuple[float, float]] | None, optional\n", + " Frequency bands. If None, uses standard EEG bands.\n", + " \n", + " Returns\n", + " -------\n", + " dict\n", + " Spectral analysis results.\n", + " \"\"\"\n", + " if bands is None:\n", + " bands = EEG_BANDS\n", + " \n", + " # 1. Compute PSD using Welch\n", + " freqs, psd = compute_psd_welch(signal, fs, nperseg=min(len(signal)//4, fs*2))\n", + " \n", + " # 2. Convert to dB\n", + " psd_db = power_to_db(psd, ref=np.max(psd))\n", + " \n", + " # 3. Compute absolute band powers\n", + " band_powers = compute_all_band_powers(psd, freqs, bands)\n", + " \n", + " # 4. Compute relative band powers\n", + " relative_powers = {}\n", + " for band_name, freq_range in bands.items():\n", + " relative_powers[band_name] = compute_relative_band_power(psd, freqs, freq_range)\n", + " \n", + " # 5. Find dominant band and peak frequency\n", + " dominant_band = max(band_powers, key=band_powers.get)\n", + " peak_idx = np.argmax(psd[freqs > 1]) # Exclude DC\n", + " peak_frequency = freqs[freqs > 1][peak_idx]\n", + " \n", + " return {\n", + " 'freqs': freqs,\n", + " 'psd': psd,\n", + " 'psd_db': psd_db,\n", + " 'band_powers': band_powers,\n", + " 'relative_powers': relative_powers,\n", + " 'dominant_band': dominant_band,\n", + " 'peak_frequency': float(peak_frequency),\n", + " }\n", + "\n", + "# Test the function\n", + "report = spectral_report(eeg_signal, fs)\n", + "\n", + "print(\"=\" * 50)\n", + "print(\"SPECTRAL ANALYSIS REPORT\")\n", + "print(\"=\" * 50)\n", + "print(f\"\\nPeak frequency: {report['peak_frequency']:.1f} Hz\")\n", + "print(f\"Dominant band: {report['dominant_band'].upper()}\")\n", + "print(\"\\nAbsolute Band Powers:\")\n", + "for band, power in report['band_powers'].items():\n", + " print(f\" {band.capitalize():8s}: {power:10.2f} V²\")\n", + "print(\"\\nRelative Band Powers:\")\n", + "for band, rel in report['relative_powers'].items():\n", + " print(f\" {band.capitalize():8s}: {rel:6.1f}%\")\n", + "```\n", + "\n", + "**Usage example:**\n", + "```python\n", + "# Quick analysis of any signal\n", + "report = spectral_report(my_signal, fs=256)\n", + "print(f\"Dominant activity: {report['dominant_band']} at {report['peak_frequency']:.1f} Hz\")\n", + "```\n", + "\n", + "This function encapsulates the entire spectral analysis workflow into a single, reusable tool!\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "9bddb42e", + "metadata": {}, + "source": [ + "## 12. Summary\n", + "\n", + "### Key Concepts Learned\n", + "\n", + "| Concept | Description |\n", + "|---------|-------------|\n", + "| **Power Spectrum** | Square of amplitude spectrum; represents energy distribution |\n", + "| **PSD** | Power Spectral Density; power per unit frequency (V²/Hz) |\n", + "| **Periodogram** | Direct FFT-based PSD estimate; high variance |\n", + "| **Welch's Method** | Averaged periodograms; reduces variance at cost of resolution |\n", + "| **Frequency Bands** | Standard EEG bands: δ, θ, α, β, γ |\n", + "| **Band Power** | Integral of PSD over frequency range |\n", + "| **Relative Power** | Band power as percentage of total |\n", + "| **Decibel Scale** | Logarithmic scale; 10·log₁₀(P/P_ref) |\n", + "\n", + "### Functions Implemented\n", + "\n", + "```python\n", + "# PSD estimation\n", + "compute_psd_fft(signal, fs) # Periodogram (high resolution, high variance)\n", + "compute_psd_welch(signal, fs, nperseg) # Welch method (reduced variance)\n", + "\n", + "# Band power analysis\n", + "compute_band_power(psd, freqs, freq_range) # Absolute power in a band\n", + "compute_all_band_powers(psd, freqs, bands) # All bands at once\n", + "compute_relative_band_power(psd, freqs, range) # Relative power (%)\n", + "\n", + "# Utilities\n", + "power_to_db(power, ref, min_db) # Convert to decibels\n", + "```\n", + "\n", + "### The Trade-off Triangle\n", + "\n", + "```\n", + " Frequency Resolution\n", + " /\\\n", + " / \\\n", + " / \\\n", + " / \\\n", + " /________\\\n", + " Variance Signal Length\n", + " Reduction\n", + "```\n", + "\n", + "**You can't have all three!** Welch's method trades resolution for variance reduction." + ] + }, + { + "cell_type": "markdown", + "id": "b004a83f", + "metadata": {}, + "source": [ + "## External Resources\n", + "\n", + "### 🎥 Video Summary\n", + "\n", + "- **[Power Spectrum and Frequency Bands - Video Overview](https://notebooklm.google.com/notebook/3d75df7a-91c7-4f12-a3f8-1047aea0e23b?artifactId=18b4b25d-2bda-4d12-9d34-d9022556d189)** — AI-generated video summary of this notebook's key concepts\n", + "\n", + "### 📝 Practice & Review\n", + "\n", + "Test your understanding with these AI-generated study materials:\n", + "\n", + "- [**Quiz**: Power Spectrum and Frequency Bands](https://notebooklm.google.com/notebook/3d75df7a-91c7-4f12-a3f8-1047aea0e23b?artifactId=e7a2fcaf-d4ad-46f2-93d5-cc5c73b8b5e5) — Multiple choice questions on key concepts\n", + "- [**Flashcards**: Power Spectrum and Frequency Bands](https://notebooklm.google.com/notebook/3d75df7a-91c7-4f12-a3f8-1047aea0e23b?artifactId=a00d2a74-84d0-4d01-8222-63787492f3ea) — Review key terms and definitions\n", + "\n", + "### 🎥 Video Tutorials\n", + "\n", + "- [**Power Spectrum Explained**](https://www.youtube.com/watch?v=spUNpyF58BY) — Mike X Cohen explains power spectra for neural data (14 min)\n", + "- [**Welch's Method**](https://www.youtube.com/watch?v=wZsHtLiIDYY) — Understanding Welch's power spectral density estimation (10 min)\n", + "- [**EEG Frequency Bands**](https://www.youtube.com/watch?v=P8UWJc0tOVE) — Overview of delta, theta, alpha, beta, gamma rhythms (8 min)\n", + "\n", + "### 📖 Further Reading\n", + "\n", + "- [Power Spectral Density (Wikipedia)](https://en.wikipedia.org/wiki/Spectral_density) — Mathematical foundations of PSD\n", + "- [Welch's Method (Wikipedia)](https://en.wikipedia.org/wiki/Welch%27s_method) — The averaging approach to spectral estimation\n", + "- [Neural Oscillation (Wikipedia)](https://en.wikipedia.org/wiki/Neural_oscillation) — Frequency bands and their cognitive correlates\n", + "- [Mike X Cohen - Analyzing Neural Time Series Data](https://mikexcohen.com/book/) — Excellent textbook chapters on spectral analysis" + ] + }, + { + "cell_type": "markdown", + "id": "e5fe484b", + "metadata": {}, + "source": [ + "## 13. Discussion Questions\n", + "\n", + "1. **Why does EEG show a 1/f spectrum?**\n", + " - What might this tell us about neural dynamics?\n", + " - Is this universal across brain regions?\n", + "\n", + "2. **Band boundaries are somewhat arbitrary.** \n", + " - Should we use individualized alpha peak frequency (IAF)?\n", + " - How does this affect cross-subject comparisons?\n", + "\n", + "3. **Absolute vs. Relative power:**\n", + " - When would you prefer one over the other?\n", + " - What confounds affect each measure?\n", + "\n", + "4. **Welch parameters:**\n", + " - How would you choose `nperseg` for a real EEG analysis?\n", + " - What's a reasonable overlap?\n", + "\n", + "5. **Clinical applications:**\n", + " - How might spectral analysis help diagnose conditions like ADHD or Alzheimer's?\n", + " - What are the limitations of spectral biomarkers?" + ] + }, + { + "cell_type": "markdown", + "id": "0c823078", + "metadata": {}, + "source": [ + "## 14. Next Steps\n", + "\n", + "### In this Workshop\n", + "\n", + "**Next notebook: A04 — Filtering Signals**\n", + "- Design and apply frequency filters (lowpass, highpass, bandpass)\n", + "- Understand filter characteristics (order, cutoff, rolloff)\n", + "- Learn about phase distortion and zero-phase filtering\n", + "- Extract frequency bands from raw signals\n", + "\n", + "### Connections to Connectivity\n", + "\n", + "The concepts from this notebook are **foundational for hyperscanning**:\n", + "\n", + "| This Notebook | Connectivity Application |\n", + "|---------------|-------------------------|\n", + "| Band power | Coherence in specific bands |\n", + "| PSD estimation | Cross-spectral density |\n", + "| Frequency resolution | Detecting narrow-band coupling |\n", + "| Welch averaging | Reducing connectivity estimate variance |\n", + "\n", + "---\n", + "\n", + "**Congratulations!** You now understand how to extract power information from neural signals. This is essential for understanding brain rhythms and their role in connectivity analysis." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-BuiFQKUd-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A03_power_spectrum_frequency_bands_quick.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A03_power_spectrum_frequency_bands_quick.ipynb new file mode 100644 index 0000000..d2e258b --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A03_power_spectrum_frequency_bands_quick.ipynb @@ -0,0 +1,982 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "001ea623", + "metadata": {}, + "source": [ + "# A03: Power Spectrum and Frequency Bands (Quick Version)\n", + "\n", + "**Duration**: ~30 minutes \n", + "**Prerequisites**: A01 (Signals and Sampling), A02 (The Frequency Domain)\n", + "\n", + "> 💡 **Quick Version**: This notebook imports pre-built functions from `src/spectral.py` instead of defining them inline. For the full tutorial with step-by-step function implementations, see [A03_power_spectrum_frequency_bands.ipynb](A03_power_spectrum_frequency_bands.ipynb).\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "- Understand the relationship between amplitude spectrum and power spectrum\n", + "- Compute Power Spectral Density (PSD) using both periodogram and Welch's method\n", + "- Explain the trade-off between frequency resolution and variance in spectral estimation\n", + "- Define and compute power in standard EEG frequency bands (delta, theta, alpha, beta, gamma)\n", + "- Convert between absolute and relative band power measures\n", + "- Use the decibel scale for visualizing power spectra\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "aec5cf4d", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [From Amplitude to Power](#section-2-from-amplitude-to-power)\n", + "3. [Power Spectral Density (PSD)](#section-3-power-spectral-density-psd)\n", + "4. [Welch's Method](#section-4-welchs-method)\n", + "5. [EEG Frequency Bands](#section-5-eeg-frequency-bands)\n", + "6. [Band Power Extraction](#section-6-band-power-extraction)\n", + "7. [Eyes Open vs Eyes Closed](#section-7-eyes-open-vs-eyes-closed)\n", + "8. [The Decibel Scale](#section-8-the-decibel-scale)\n", + "9. [Exercises](#section-9-exercises)\n", + "10. [Summary](#summary)\n", + "11. [External Resources](#external-resources)\n", + "12. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "359966eb", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parents[2]\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from src.colors import COLORS\n", + "from src.plotting import configure_plots\n", + "from src.signals import generate_time_vector, generate_sine_wave\n", + "from src.spectral import (\n", + " compute_amplitude_spectrum,\n", + " compute_psd_fft,\n", + " compute_psd_welch,\n", + " compute_band_power,\n", + " compute_all_band_powers,\n", + " compute_relative_band_power,\n", + " power_to_db,\n", + ")\n", + "\n", + "# Apply plot configuration\n", + "configure_plots()" + ] + }, + { + "cell_type": "markdown", + "id": "f85d0895", + "metadata": {}, + "source": [ + "## Section 1: Introduction\n", + "\n", + "In the previous notebook, we learned how the Fourier transform reveals the frequency content of signals through the **amplitude spectrum**. While amplitude tells us \"how much\" of each frequency is present, neuroscience research typically focuses on **power** — the squared amplitude.\n", + "\n", + "Why power instead of amplitude? Power is directly related to the **energy** of oscillations. When we say \"alpha power increased during eyes-closed rest,\" we're quantifying the energy contributed by 8-13 Hz oscillations.\n", + "\n", + "This notebook covers:\n", + "- **Power Spectrum**: Square of amplitude spectrum\n", + "- **Power Spectral Density (PSD)**: Power normalized by frequency resolution\n", + "- **Welch's Method**: Averaged periodograms for variance reduction\n", + "- **Frequency Bands**: Delta, theta, alpha, beta, gamma" + ] + }, + { + "cell_type": "markdown", + "id": "e593dc36", + "metadata": {}, + "source": [ + "## Section 2: From Amplitude to Power\n", + "\n", + "The **power spectrum** is the amplitude spectrum squared:\n", + "\n", + "$$P(f) = |X(f)|^2$$\n", + "\n", + "**Why square the amplitude?**\n", + "- Physical meaning: Power relates to energy\n", + "- Variance interpretation: Power at frequency $f$ equals the variance contributed by that frequency\n", + "- Squaring amplifies differences: 2× amplitude → 4× power" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d414b1be", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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d7CIAAMCQo3bAgComDQmlokGymKFTwwIAAEBO5aYhYeTIEeHUE48OfzrrvCzFIKYZLDB+fNh71x3D4Yd8NCy5+KI1vU6hUAjH//Ab4cLLrgkXXXFdmPT40+GRx54M48eNDdtuuUk4cL/dw3u22Ljffx6GT0JC87xiQulr9riRDQAAAEOO2gEDKo1PLMwLKU1HNqgdAAAADSA3DQnRqJEjw+GHHJjduvOFTx2Q3ao1Jey7x87ZDSpJFzE0VUhISBsWAAAAGDrUDhjMhIRCUyF0VAwkJAAAAA0gacsG+pSQkHQktFvlAAAAAI0trQ2UagYSEgAAgAajIQF6IR3J0FxKXeyUkOCwAgAAQCMrpgkIpTGPSfGg0+MAAAA5pSEBeqE9SUhomldUKH0tb1gAAAAAGpCEBAAAAA0J0PeEhHkjGzolJGhIAAAAgIbWqSHhnTVBhTReUUICAADQACQkQC+kIxmaKyQktEtIAAAAgMZWcWRDUopTOwAAABqAhgTohbThoLS4obmpcsMCAAAA0HiKFUc2JAkJ0hUBAIAGoCEBeiEdyVAa2ZAmJKQjHQAAAIAGT0joaEh4txRXbEseBwAAyCkNCdALacNBaWRDczoG0ioHAAAAaGzpYoXSIoZkMUMoakgAAADyT0MC9LGmICEBAAAAmE/acDAvGaFg3iMAANBgNCRAXxMS5v0Wda4pGNkAAAAAjaoY6wISEgAAADQkQG+kDQdN8+IWS1/Lx0QCAAAADaZ8oUJToVNSQrZJ2rAAAACQUxISoBfaOyUkvFNUaE7GQEpIAAAAgAbWXq0hISkeWM0AAAA0AA0J0Atpw0FzhYSEdKQDAAAA0GDKmw0K75TgCklCwnxNCwAAADmkIQF6oS2pK3QkJHSqKSgqAAAAQMOqKSFB7QAAAMg/DQnQx4SEd2sKaUKCwwoAAACNqliekNBRPGiqvg0AAEAOaUiAXmhvrzSyoXLDAgAAANBgytMPSosYJCQAAAANRkMC9ELacNAxsqFTQoKGBAAAAGhYafpBrBfMqxkUkoSETtsAAADklIYE6IV0JENpVEPnRQ4aEgAAAKBhpQsV0oKBhAQAAKDBaEiAXkgbDpqbOjcmlDcsAAAAAI2lmKYfpKkIheT7ouIBAACQfxoSoBfSkQwdIxuaOo90KEpJAAAAgMbUqSEhSUhoLlRuWgAAAMgpDQnQC7HhYP6RDYWq6YwAAABAA0mKAoVqCQkKBwAAQAPQkAA9FJMP0ppBR0JCoXrTAgAAANBA0ppAkpBQSNMSJCQAAAANQEMC9FBbWZ9Bc7WEBCsdAAAAoCF1GseQJiSk36sbAAAADUBDAvRQeaNBaXFDc1PXjQsAAABAg0hrB+kChiQhoaghAQAAaAAaEqCHykcxlEY2lCcktCksAAAAQGNKEhIKzdUSEpIUBQAAgJzSkAA9VN5oUBrZ0Ny5HyG0lzUuAAAAAI2dkFBIEhKMbAAAABqBhgToofLgg6Z5xYRCoRDSngQJCQAAANCg0vSDNBVBQgIAANBgNCRAnxMSku+TlQ7lox0AAACAxlBMawdpKkLyfadtAAAAckpDAvRQ2mgQ6wgxGaF8fENkFCQAAAA0qFoSEorJNgAAADmlIQF6qD1pSEgTEd7597vfS0gAAACABpWkHxSS2kH6fWiTkAAAAOSfhgTow8iGNBEh+4VK/l0+2gEAAABoEBISAAAAMhoSoIfa0tTFsoaENDEhTVIAAAAAGkcxXaSQpiKkdYT2YiiqHQAAADmnIQH6NLKh82NpYoKEBAAAAGhQxXQ1Q1I8KC8kaEgAAAByTkMC1HNkQ/IbZRQkAAAANKikdlBIEhIKZXWEdDsAAIA80pAAPdTWKSGhbGRDUlgwsgEAAAAaVHuVhIT0+/LtAAAAckhDAvQhIaGpbGVD2qBgZAMAAAA0pmKafJDWDsoWNkhIAAAA8k5DAvRQWlMoH/2YNihoSAAAAIAG1SkhIW1I6FxIKEpIAAAAck5DAvRlZENXCQnGQAIAAEBo9NUMhU4jGyQkAAAAjUVDAvRlZENZIaE5+aeEBAAAAGhQnRIS3i2/FeLChnRxg4QEAAAg5zQkQA+1d5GQkDYopNsBAAAADTrvsTwVIf232gEAAJBzGhKgh9raK49oKG9QkJAAAAAAjalYJSGh/N/FtMgAAACQQxoSoC8jG8oWOaQNCm0CEgAAAKAxSUgAAADIaEiAHmpLRzbMl5CQbJcWHwAAAIDGUXw3+aBQlpDQ6d8SEgAAgJzTkAA9lDYapCMasl+opEGh3RxIAAAAaExpbGJ5vGJaS1A7AAAAck5DAvQldXG+hIR0ZIOEBAAAAGhExSQhYb6GhPTf7cl2AAAAOaQhAfoysqGsppCOcDCyAQAAABpU59UMnR9L/l007hEAAMg5DQnQl5ENZascmpKEBIscAAAAoEElRYFC2bjHgoQEAACggWhIgB5qTxIS0gaEqDn5jTKyAQAAABpUjQkJnbYDAADIIQ0JUMeEhOakQcHIBgAAAGhMxTQ2scuGhGQ7AACAHNKQAD3UVqzcgJD9QiUNCmmSAgAAANCoCQmdawfpv4sSEgAAgJzTkAA91N4pIaHzYxISAAAAgDT5oCAhAQAAaGAaEqCH2pLkg6ayhIS0QSFNUgAAAAAaSBcJCYX03xISAACAnNOQAD3U1ikhoWxkQ9KgYGQDAAAANKgkIaGrkQ2hmGwHAACQQxoSoIfSxQvpiIbs30lRIW1cAAAAABpHMUlXDF2MbCiKVwQAAHJOQwL0UNpoUF5TSBsU0tEOAAAAQANp6yIhIV3cICEBAADIOQ0J0ENpo0HXCQkOLQAAADSkpHZQKFvNUGhO/i1dEQAAyDkNCdCHhIS0ASH7d/LPdgkJAAAA0Jjaa0xISLcDAADIIQ0J0EPtXSQkNHVKSDCyAQAAABpNMdYN0pJAoaz8liYmqB0AAAA5pyEBeigdxTB/QoKGBAAAAGho5U0G6YiGKKklFCUkAAAAOachAXqoLUlIKE9dTBsULHIAAACABlTWZFAoS1csSEgAAAAaiIYE6KH2pNOgPCEh/WfauAAAAAA0iPLUg/LVDOm/JSQAAAA5pyEBeihtNEhHNGT/TooKbSISAAAAoPGU1wPSRITyf6sdAAAAOachAXqoLVno0FS2yiFtUGiXkAAAAAANp9iDhIT5tgUAAMgZDQnQQ2mjgYQEAAAAoKxw0PnfZemKEhIAAIBG0tIfL/rUs8+Hex54JEx55fXw2htvhtmz54QFFhgfFl5gQlhphWXDRuutFUaPGtkfbw39Lh3F0FyeupgUGdrK6g8AAABAA0hTD5oKoVDWkFBIExOKEhIAAIB8q1tDwsT7Hw7nXnxVuPn2u8Orr7/Z5bbNzU1hrdVWDnu8b7uw1/u3C+PHja3XbkC/a0sSEtIGhPIGhXZzIAEAAKDxpPWApgrhpIW0eGA1AwAAkG99bki4+Mrrw2l/vzA8/tSzoZj8oXbM6FFhwQnjw4QJ48KokSPCm29NC29OnRbeePOtMHduW7jvoUfD/Q8/Fk485cyw+47vCYcevH9YcvFF+7o7MKALHZrL5kCmIxzSxgUAAACgMaT1sZiQMJ/md+8rpkUGAACAHOp1Q8Ltd98fjj/pL+HhR5/MLrQWmDAu7PzercImG6wd1l9r9bD8sktVfN706TPCA488Hu59aFK4/r+3Z6Mdzr/smnDp1TeGj31oz/DZj38ojB0zui8/E/SrtNEgbUCImpJCQ1zkEH83yqMZAQAAgEYZ2SAhAQAAaGy9bkg45Ks/yL5uvdmG4SN77xK23XKT0NrS/cuNGTM6bLbRutntkAP3C89NfilcfMX14e/nX5YlLYwaOTIcetBHertb0O/akjjF8oUO5Q0KbcUQWvQjAAAAQONI6gaVFikU0mKCkQ0AAEDO9bohITYifOFTB4T11169Tzuw7FJLhMMO3j8cfMA+WVPC6NEj+/R60J/ai8WQDmKYb2RD0/zNCy2V4hkBAACARpj1OP/jaWqCkQ0AAEDO9boh4eTj3klIqJfRo0aGTx+4b11fE/ozHaFSQ0JT2cqH2MAAAAAANI5i2mRQaYxjp4SEZFsAAIAcqtCmDVRTnqRYPqKhvEGhvIEBAAAAyLm0FpCmIVS4r6huAAAA5FyfGhKO/c2p4dEnnq7f3sAQV95gUF5XKG9QaJOQAAAAAI0lST0oVBjj2Ok+CQkAAEDO9XpkQ/TX8y4Nfzv/srDWaiuH/fbcOey+07Zh3Ngx9ds7GGLKGwzKGxDK6wzqCgAAANBgepCQMF8UIwAAQM70KSFhzOhRoVgshgcnPR6O+eUpYcf9Ph2+e8yvwu1331+/PYQhpL2sUFA+oqFQKITm5C4JCQAAANBYOo1hqJCQ0Ok+KxkAAICc61NCwvUXnhauvO7mcOHl14Y7730wzJw1O1x69Y3ZbZmlFg/77rZT+MCuO4QlFlukfnsMgyhtMIjlg6ayhISoqakQ2tqKFUc8AAAAADmXNhl0k5AQF/oAAADkWZ8aEkaNHJk1HMTbsy+8GC647JpwyZU3hBdffiU898JL4bd//nv4/Wn/CFtvvmHYd/edwvZbbx5aWprrt/cwwNraq6cjdNxfKIQ5YV5DgsICAAAANJZkcUKhu4SEtNAAAACQQ31qSEgtt/SS4YjPfCx86ZADwy133BPOv/TqcP1/bw+z58wJN912d3ZbcMK4sNcuO4R9dtsxrLrS8vV6axgwaYNBlX6ETo0KkhcBAACgwXSTkFBI77OQAQAAyLm6NSSUFAqFsPVmG2a3t6a+HS656oZw4eXXhIcffTK8/ubUcOY/L85u6665athvj53Dbju+J4wZM7reuwH9oj1Z5RCTECrptNBBYQEAAAAaS1oLqLSaIa0nGPUIAADkXIVBdvUzYfzYcOB+u4dz/viL8M9TT8i+X2D8uGw+3v0PPxaO/sXJYYf9Pt2fuwB1lTYYVB3ZkNzfprAAAAAADaXYTUJCp/uKxaxOBgAAkFf92pCQWmOVFcO3j/hMuOb8U8NhB++fNYPHC66Zs2YP1C5An6WjHZuqNSQkKx3aFRUAAACgsaQNCZXSFcvrCRYzAAAAOVb3kQ3VvD19Rrjs6v9k4xtiOgIMR2mDQXPlfoTQlBQbJCQAAABAg0kaDAoVEhLmuy82MDQP2JohAACAfDUk/O+u+8IFl10TrrnptjBr1uyOGLqFFpwQPrDL9mHf3Xfu712AukkbDGoa2SB1EQAAABpLmnjQVEtCQpKoAAAAkDP90pDw4suvZE0I/7riuvDCi1Oy+2IjQnNTU9h6i43CfrvvHLbberPQ0tLcH28P/aYtSUhIkxBSaXJCu9hFAAAAaCjFtMGgQkLCfPepHQAAADlWt4aEOXPmhKtuuDUbyfC/u+8L8e+2pTSEZZdeIuy7205h7912DIsvunC93hIGXHuPExJEJAAAAHRn2tvTw6zZs8OCE8aH5maLF2ishITYwFBlKiQAAMCw1+eGhAcefixccPk14d/X3hSmTpue3RcbEUaNHBF2fu9WYd/ddwqbbbRuPfYVBl06gqG5SkJCmpyQjngAAAAghOcnvxz+e/vd4Y6JD4R7H3gkTHnt9TB3blvHoRk3dkxYeYVlw6YbrBM23XCdsOUm62tSYHhJEhIKlRISyusJagcAAECO9akhYb9PfSU8/tSz2felNIS1V18l7LfHTmH3nd+bFREgT9IGgyoBCWUJCQOxVwAAAENbe3t7uPam28I//3VluO2uezulKpabOu3tcM8Dj4R7H5wU/vz3C8LCCy4Q9t19x/DBPd8flllq8QHfd6h3QkIhNiTE+0vbSVcEAAByrE8NCY89+Uz2dYEJ48IeO7837LvHzmGNVVas177BkJOOYKg+siHZ3ioHAACgwcVGhBP/cGZ4+rnJHU0Iyy29ZFhv7dXCWqutHBZcYHxYYPz4MHLkiPDmW9PCW1Onhucmvxzue2hSePCRx8Orr78RTv3bBeG0f1wUPrjnzuELnzoga1KAoSqOYOhQKSGhdH/7vGSQtmR7AACAnOlTQ0KMTdxvj53DTttuEVpbW+u3VzBEpQ0GtYxsaLfKAQAAaGCf+vL3wl33PpQ1IsQFDHu+f7uw+87bhsUWWbjmZIVb77w3XHrVDeHam/4XzrnoinDZ1TeGn3z3K2H7bTbr9/2H/khIKL+/WloIAABAaPSGhFN+8cNeP/etqW+HO+99IKyw7NLZbEgYbjWF6gkJycgGCQkAAEADu/OeB8PWm22YpRqsv/bqPX5+U1NT9vx4mzFzVvjb+ZeGM86+KDz06BMaEhi6iu8mHhS6SkgoSRMVAAAAcqZPDQl9MXbMqPDNH/0irLrS8uHvfzhusHYDeiRtMKi2yCFNTkhHPAAAADSas37/s141IlQyetTIcMiB+4WP7rt7eOHFl+vymtAv2rpPSCgUCqFjK4sZAACAHKtrQ8L3f/abmraLf6N9+rkXwqzZc8LjTz9Xz12AfpU2GFRLSEjvtsgBAABoZPVqRkiNGT0qW9wAwyEhIRQkJAAAAI2trg0JF/37unc6vKusCo+PlZS22WzDder2/jNnzQp/Ouu88O9rbwqTX34lLDB+XNhm843C4YccGJZYbJEev97zk18Op/7tvHDz/yaGl199LYwdMzosv8xSYef3bhk+9dF967bfDB/tyaqFmkY2SEgAAAAYMtQNGAjFTvMeq8QrJrWDotUMAABAjtW1IWGvXbYPhVDlQiuEMHv27PD085PDQ5OeyJoTPrzX+8M3D/90Xd571qzZ4ZCv/CDc++CksNgiC4Udttk8i3C88PJrw4233BHOOunYsNzSS9b8ev+59c7w9aOOCzNnzQ5rrb5ytqrjjbemhkefeCb88+IrNSQ0qLTBoClpsKk6skHsIgAAwJCgbsCAae9pQoJxjwAAQH7VtSHhmO8cUdN2sSHhK9//WfjXFdeFD3/g/WGNVVfq83v/4cx/Zs0IG6yzRjjl+KPCmDGjs/tPP/uicPzv/xJ+cOxvw2m/+nFNr/XE08+Fr37/52HsmFHhlF/8MGy47podj7W3t2f7T2Nqa69hkUOyyqFdQgIAAED4+wWXhfMvuTostOCE8IVPHdDpOvvt6TPCBz/91fDvf5zcr0dK3YABkzQYFKqkK8b7O7bSkAAAAORYlTbt/hUTB476xhey9IHf/OlvfX69OXPmhH9ccFn2/ZFf+VxHM0J00P57h9VXWTHcMfGB8MAjj9f0esf97rQwa/bs8P++c0SnIknU1NQU1llz1T7vM8NT2mBQdWSDhAQAAIAOV15/c/jpr/4UHnn8qXDrnfeGTx3xvWzxQMd1Vnt7mPzSlH49YuoGDFpCQpqEUDUhIdkeAAAgZwalISHacpP1w8gRreHu+x/u82vdfd/DYeq06WG5ZZbMmh3KvW+7rbKvN9x8e7ev9eLLr4Sbb58Yll16ifDeLTfp876RL+kIhqojG5LfqjapiwAAQIM769yLsxrAtef/OfztpGPDissvE044+Yxw0l/OHrB9UDdgIBXTxIMqixnS+zttDwAAkDN1HdnQEzFpoKWlJcydO7fPrxVXWURrrTZ/M0K09rwmhUnztuvK7Xffn63O2HCdNcPcuW3h6htvDRPvfyi0tbeH1VZaPuyy43vCAuPH9XmfGZ7aJCQAAAD0SByL+KcTjg6LLrxgdvvrSceGr/3g5+Hk088JE8aNDR/YdYd+P6LqBgwoCQkAAACD35Dw0pRXszmR69Zh/EEp2nGJxRap+Hjp/hdqiIB8/Olns69jRo8KB33pu+HeByd1evzXf/prOOFH3wybb7xen/eb4Z2QkI5mSDUlqxzSEQ8AAACNaM6cuWGRhRfo+He83v7NT78bvvq9Y8Pxv/9LGD9ubL/vg7oBAyqpHRSqJCR0ul9CAgAAkGOD1pDwyz+cEQqFQjj4gH36/FrTZ8zMvo4aNbLi46NHjXpnu+kzun2tt6ZOy76ef+nVYfToUeHY738tbLPFRuH1N94Mfzj9n+GSq24IX/n+z8IFf/l11QaI1D4HHVHx/meenxyWXmKxMHXq1G5fg6Fj1uw5Hd/PnTO74/xNnz793ftnz+60vXM8vKTnkuHNucwX5zM/nMv8cC7zxfnM17kcP358GEoWX2yR8OTTz4fFFlm4477Wlpbwy//3zXDYt34cjv7Fyf2+D0O5bhCpHeRLoa0tlNoNps+cGcLUqfP9d7bQ3t6xzcwZM8JM9aFhxf9u5odzmR/OZb44n/nhXOaHc5kv0we4dlDXhoR//fu6Lh+PYw9efPmVcO1/bguTnng6bLXpBmHmzFkVnzcQkY2VtM/rSp/b1hZ+8PXDwq47bpP9O45p+On3vhKeevb5cP/Dj4WzL7w8HPHZjw/KPjJ4ahkD2dz07vdtAhIAAIAGt96aq4XLrr5xvqTB1tbW8OtjvhM+/eXvh4cefSIMF+oG1KV4kKYupiMeAAAAcqauDQnf+9lvstSDWhSLxXDLHfdkt3LxJXrSkBDjHqPY3FDJjNiNHrcbM7rm14pfd9lh6/ke32e3nbKGhDvueaCmfbvw9F9XXf3Q3t4+5Fau0LVC87uJFvEzUn7+4r9Hv94WQnhnu6amZud4mPK7mR/OZb44n/nhXOaHc5kvzif94bCDPxImv/RKxcfiddUfjv9BuP7m2/v14A/lukGkdpAvb4d3GxLGjBsXmpPaQem/szNHjAixehCNHDEijFAfGpb872Z+OJf54Vzmi/OZH85lfjiXDHpDwlJLLBoKHYFzA2epJRbLvr405dWKj5fujyMSurP0kot1vGal5orS46+9/maf9pnhqb34blGhqUrzTXOy+qEt2R4AAKARjR07Zr50hNQCE8aHvXfdsV/3Qd2AwUpIqLpwJ01OSBMVAAAAcqauDQlXnH1KGAxrrLJi9rVaxOODk965f/V523VlzdVW7jQTstyb8+4fM7r7VRPkT1t75caDVHNSbGhTVAAAABrczh/6TNh+683CPrvtGLbdcpOakxXrSd2AAZWOYEjnOiYKTcn9RjYAAAA5VvmqaJjZaL01w/hxY8Kzz78YHn70yfkev+qGW7Kv2229WbevteE6a4YFFxgfXnntjfDkM8/P9/gdE9+JXFxztZXqsu8ML2mDQXOVGlraqKAfAQAAaHRz57aFa/5zW/jSd38adv7wZ8Ov//TX8Ozzkwd0H9QNGChxRGmnYoCEBAAAoMHloiGhtbU1HLDv7tn3x5x4Spg+453Zj9HpZ18UJj3+VNh0w3XCOmus0nH/386/LOz1icPDiaec2em1Wlqawyc//IHsAjK+1rS3p3c8dssd94SL/n1dtprjwx94/4D8bAzdkQ3VExLe/V5CAgAA0Oi+8KkDwjJLLZ5dZ0955bVw6l/PD3t+/PDwqS9/L1x85fVh1qzZ/b4P6gYMmPLRjVUSEkKSkFCUkAAAAORYXUc2DKbPf+LD4bY77w0T73847PmxL4SN1187TH5pSrj3wUlh4QUnhKO/dXin7d94863w1DPPhymvvj7fax380X3C/+6+P9x65z1hz49/May/9urZ9vG12trawxGf+VhYb63VB/CnY2gmJFRuSGhKGhXaygsRAAAADebQgz6S3W6feH+44NJrwtX/uTXMnDkr3HnPg+Guex8KP/3VH8NuO24b9t19p7DuWqv1236oGzAgyqISq44oSRc5iFcEAAByrNcNCV/41o/DFz/90U6pA30xc9as8I8LLg+jR40K+++za4+fP3LkiHDqiUeHP511Xrjsmv+Ea2+6LSwwfnzYe9cdw+GHfDQsufiiNb9Wa0tL+P3PvxfOPOficPGV14Wb/zcxtLa2hE03WCd84sN71TT6gXxqK1ZuPEiljQppogIAAEAj22zDdbPbkdM/Fy6/5j/hwsuvzRr/p709I5x7yVXZbZUVlwv77bFT2PN924UFF5hQ1/dXN2BAlKcdVKkdFDo1JJQ9BwAAIEcKxWy4Xc+tv/1+WZf3e7faJOy/965h6802DE1J3FytXnjx5XDxlTeEv19wWXj9jbfCYQfvn62cyLt9DjoitLe3h3+d+dvB3hV64Hf/fTq8PO2dONEDN1oqrLH4uOz7qVOnZl/Hjx8fnnh1ejj9juezfy80uiV85b0rOcbDSHouGd6cy3xxPvPDucwP5zJfnM98ncvh9P9ln3j6uXDhZdeES666Ibzy2hvZfbHWEMcpbr/1Zllqwjabb1R9lXnOqR0MP8WZs8P0867r+PeYj+wUCq0t8/13dvY9j4Y59z+Rfd+y8jJh5FbrDtIe0xv+dzM/nMv8cC7zxfnMD+cyP5zLfJk6wLWDXicknPKLH4bjf39auOHmO8KNt9wZFlpwQnj/dltnoxLWW2u1bD5kJTNmzgoPPPJYuO/BSeH6/94eJj7wSEcqwUEf+UD42Af36P1PAwM5sqHKKoempFCWJioAAADQ2corLBu+dthB4cuf+3j4z613hQsvvybceOudYc6cueHqG2/NbosvunDYe9cdwuGHHOjwMeQV50tIqLJ4J6kpzPccAACAHOl1Q8KWm6wf/vmnE7KIxdP+fkF46tkXwtkX/Tu7RWPHjMriFRcYPy6MaG0Nb02bFt58a1qWglCKsY/hDCNHtIbddto2S0VYesnKTQwwVLQlgSLpaIZUc1PlBgYAAAAqa25uDttvs1l2e+2NN8PFV1yf1Rsef+rZ8NKUV8MfzzpPQwLDQ3kdoMpihk6NCmoHAABAjvW6ISGKkYkxPjHebp94fzj34qvCLbdPDG+8NTWbARlvz4WX5ntec1NTWHuNVcJuO70nfGCXHcOE8WP7shswYNJFC01Vigppo0K7ogIAAECPLLTAhLDKistl6QlPPvOc6yqGl2JSOCgUqo4bKaQNCelzAAAAcqZPDQmpzTZcN7tFcQXDvQ9OClNefS1LRJg1e3ZYcML4sNCCC2RFhQ3XWSOMGTO6Xm8NQyohIW1USLcHAACgumefnxwuuPzaLB3h5Vde60hWbG1tCTu9ZwuHjuEhXZhQLR0hSmsKFjMAAAA5VreGhFRsOog3yJt0BEM6miGVNiq0WeQAAABQ1YyZs8KV1/83XHDZNeHu+x7uaEKIVlt5hbDf7juFPd+/XVhgwnhHkWGh2DlasfqGnUY2KB4AAAD51S8NCZBXaeJBU5WEhLRRoV1CAgAAwHwm3v9w1oRw5fU3h+kzZnY0IYwbOzrstuO2Yb89dg7rrLmqI0d+ExKSx4oSEgAAgBzTkAA90N4pIaHKyIakUaE4rymhWvMCAABAo3jl1dfDRVdcFy68/NrwzHOTs/tKjQibbLB22G/3ncP7tt8qjBo5cpD3FPogSTsodFULSGsKEhIAAIAc05AANYqFsrZi5dEMqfJGhTjmoalZQwIAANCYrr7xliwN4ebb7wnt7e0dTQiLLbpw2HuX7cO+u+8UlltmqcHeTeiHhITqIxsKnUY2JM8BAADIGQ0JUKPy+kC1ukJ5o0Ic89DqKAMAAA3qaz84LlspHhsRmpubw3ZbbZKNZHjPFhuHpi7+YAvDUpp2UOPIBgkJAABAnmlIgBrFxoJU7QkJDjEAANDYVlh2qawJYa9dtg+LLLTgYO8O9JtijQkJ6WOdngMAAJAzGhKgRnH0QleNByXld7eXNTIAAAA0kjN++5Ow4bprDvZuwIAnJBQkJAAAAATZiFCj8saCppoTEjQkAAAAjasvzQivv/FW+Ojn/y/85tS/1XWfoN/UmJBQSB+zkAEAAMgxCQlQo/LRC9UTEgohPlIqQWhIAAAAeNfkl6bUdDiKxWJ46tkXwiOPPxWen/xy+NIhBzqMDKuEhFpHNpj1CAAA5JmGBKhRW9mKhebK/QjvPNZUCHPnrYoQkAAAAPCuXQ84tEeHIzYmtLQ0O4QMC8VOCQldFA6Sx+JnHAAAIK80JECN2pOiQqwbFKqMbCg9Xq2RAQAAoJH19I+vSy2xaPjm4Yf02/5AXRXba2tISGsKaaoCAABAzvRLQ8KMmbPC+ZdcFf57+8Qw+aWXw8xZs8Plfz+54/Gp094ON95yZ/YH3d133rY/dgHqLm0saO6iGSF7PBYd2t7Z3sgGAACAd/37H+/WByqZNXtOeOa5F8J5l14drv/v7WGdNVYN22+9qUPI8JAsZih0MbKh02OiFQEAgByre0PCw48+GY448qfhpSmvdqx6KF9JPm7smHDKmf/MZkEusvACYYuN16/3bkDdtXUaA9lNQ0LymW+XkAAAANBh6SUX7/ZorLT8MmG7rTcLP/3Vn8I/Lrw8/PlvF4TPfuJDjiJDX5p2UOPIBgkJAABAnlVv1e6FN958K3zx2z8OL778SlhrtZXD1w87KIwbO3q+7WKDwn577Jw1LMTVDjActPc0IWEeCQkAAAC98/mDPpx9/dcV1zmEDAvFNO2gi4SETo+1F3s8ygQAAKAhGxLO+OfFYcqrr2eJB387+dhw0P57h5EjRlbcdtstN8m+3vPAI/XcBeg3aWNBcze/OU1Jw8K8yQ0AAAD00MILLhDGjxsTJr/0imPH8EtI6GoxQ3l6goYEAAAgp+rakHDDzXdk6QdfO/SToamrLvB58YstLc3h2RderOcuQL9pS4oDacNBJWnDQrtZkAAAAL0yZ86cMO3t6WGBCeMcQYaHpAZQqDUhoex5AAAAeVLXhoTnXngxtLa0hDVXW6nbbWPjwrgxY8K0t2fUcxeg36SNBelIhkrSkQ5pIwMAAAC1u/HWu7JrsW232NhhY3joNLKheu2gUP5YmqwAAACQIy31fLE47665uSlrNqhl2+kzZobRoyqPdIChJh29kDYcVNKUFBbSUQ8AAADUcP3V1hau++//wo9/eUpYbeUVwlc+/wmHjeEhbSyQkAAAAFDfhoTFF104PPvCS+HV198Iiyy0YJfb3v/wo2H2nDlh5RWWdRoYFtLGgnQkQ7cJCRoSAAAAOux6wKFdHo329vYw5dXXs6/vXH81hQM+/835touXXZf//WRHliGl2KkhoYvFDGXNCvF53S/vAQAAaPCGhE03XDdrSLjw8mvDIQfu1+W2J/3lnCxJYctNN6jnLkC/aU9GLzR1k5CQNizoRwAAAHjXCy++3KPDEZsTKqklnREGXFIEKHSZkFA+skG6IgAAkE91bUj4+If2DBdefk3401nnhbVXXyVsVaHZ4JXX3gjH/e60cNNtd4URra3ho/vuVs9dgAFKSOhmZEOakJA0MgAAADS6//ftwwd7F6D/1JiQkDXUxIdLJYNi8jwAAIAcqWtDwqorLR+O+MzHw4mnnBkO/b+jw5qrrRSmvf129tg3jz4hTH5pSnhw0uNh7ty27L5vfemQsNQSi9VzF6DftBUrj2SoJG1YMLIBAADgXXvvuqPDQX6lixK6SkgoPd42rxFBQgIAAJBTdW1IiD594L5hwQXGh+N//5fw0KQnOu6/4rr/huK8i7Lx48aGbx3+6fCBXXeo99tDv0kbC7qrKaQNCxISAAAAoDEUSw0GUTfpiiGpHRTTZAUAAIAcqXtDQrTfHjuHXXfYJlx14y3h7vseDlNefS20tbWHRRdeKGy03prh/dtvnTUlwHCSNhZ0l5CQ1hzUFAAAAKABExIKNSQkhHdSRCUkAAAAedUvDQnRmDGjsxhGUYzkRXuSkJCOZOh2ZENajAAAAGgg9z/0aFh3rdXq+pozZ80KL0x+Oay84nJ1fV2oi6R2UGjuunZQaCqEjq2tZgAAAHKqm1ZtoFJjQVOhBw0J5kACAAAN6sDDvhW+9J2fhAcnPV6XRoS//OPCsOsBh4Yrrr+5LvsHdZc2FtSUkFB6nsUMAABAPvVbQgLkTToGstuEhKRhQUICAADQqDZad81wwy13hBtvvTOsu+aqYY/3bRd23XGbsPCCC9T0/GKxGG67675w6VU3hGv+c2t4e/rMMHrUyLDmaiv1+75DbxTTxoJuEhLMewQAABpBrxsSvv+z39RlBwqFQjj6W4fX5bWgP6WNBd3WFJKGBamLAABAozr9tz8JV91wS/jlH84I9z30aLj/4cfCz397alhh2aWzUQ5rrLJiWGjBCWGBCePDiNbW8NbUaeHNt6aF5ya/mI17eOCRx8OMmbOyxoTmpqbwwT13Dl/89EfDIgstONg/GtQ1IaFTIwMAAECO9Loh4aJ/X5c1E8SiQLl4fy3iczUkMFy0t/dgZEPysIQEAACgkb1vu63CDttsHq664eZwzr+uCHfe82B48pnnw1PPvhAuCTdUfV6p3hAbFvbZbcfw4Q/sEpZdaokB3HPohaR2UGjqSUKChgQAACCfet2QsNcu24dCqHxhdd1//xemTns7jBzRGtZefZWwxGKLZPe/9Mpr4aFJj4eZs2aHCePHhu233rz3ew6DmZDQ3ciG5PE2RQUAAKDBtbQ0h9122ja7Pf3cC+G//5sY7rzngSw1Ycqrr4e2traObceNHR1WXmG5sMkGa4fNNlw3bLHJ+qG1xcRJhmFCQpKAUEmhqSl0VBrEKwIAADnV6yv6Y75zRMX7v3n0CWHa29PDZz62X/j0gfuFcWPHdHr87ekzwql/Oz+c+tfzw5y5c8Ox3/9qb3cBBlRbUlNo7iYhIU1QaK+QIgIAANCo4riGeDtwv9077ntr6tth9uzZYYEFxms+IEcNCT1JSEieBwAAkCN1XWJw7sVXhiuu+2847OD9w6EHfaTiNmPHjA5HfOZj2WzIk/5ydth8o3XDB/d8Xz13A/pF2ljQzSKHTg0LEhIAAAC6FlMUQ4g3GN6KaUpid8WDQlPl5wEAAORIN1dGPXPBZddkK8M/8eG9ut02bhO3Pf/Sq+u5C9Bv0saCHo1sUFMAAACAxpAsZih0l5DQnDxelJAAAADkU10bEp585rkwbtyYLAWhO3GbsWNHZ8+B4aAtKSp0P7Lh3e/brXIAAACAxpv32E1CQiFJSAhqBwAAQE7VtSEh/uF16rS3w5tvTe1227jNtLen+2Mtw0Z7rxMSRCQAAABAQ0hrAD1JSGiXkAAAAORTXRsSVl9lhey66+TTz+l225PP+Gf2B97VVl6hnrsA/SYdvRDHjXQlTVBIRz0AAAAA+VVsrz0hISQJCUW1AwAAIKda6vliH9l71zDx/kfC386/LEydNj18/qAPh+WWXrLTNs9Nfin84fRzwr+uuD4UCoWw/z671nMXoN+kjQXpIoZKmpJVEGoKAAAA0CDSIkA3ixk6z3u0mAEAAMinujYk7Pm+7cJtd94bLvr3deHiK6/PbksuvkhYfNFFssdffuXV8OLLr2bfF4vFsNcu22fPgeGgvVj7yIaWZBGEhAQAAABoEElCQqG564SEQpqgYGQDAACQU3VtSIj+37e/FNZcdaVw8hnnhDffmhYmv/RKdktNGD82fP6THwkf/9Ce9X576DdpY0F3IxvSx9vS+ZEAAABAfklIAAAA6N+GhOhjH9ozfPgDu4Sbb58YHnjksfDa629m9y+80AJhnTVWDVttukEYOXJEf7w19Ju2pK+gpZuEhDRBQUICAAAA5F9MAw3pooQ0AaESCQkAAEAD6JeGhGjEiNaw/TabZTfI28iGbvoRQnOSkJA+D/rLtFlzQ/ykjR/Zb/9ZBwCAuvj+z36Tff38QR8Jyy61hKNKPtMRaikeJI8XjWwAAAByqptWbaBS0kGagFDxFyt5uO3d8ZHQL557Y2b4xQ1PhhNueDI89doMRxkAgCHt4iuvD5dd85+wzJKLD/auQH2VNRUUepSQYDEDAACQTxoSoB8aEjqNbJCQQD974KWpWe0q3u5/carjDQDAkLbwgguEUSNHhkKSLAeNmJBQSB+XkAAAAORUXbO9D/nK93v8nFiA+NMvj67nbkC/SBsLmropnHUa2WCVA/1s1tx3V+HMFskBAMAQt+5aq4Ubbr4jvDTl1bDEYosM9u5A/ZQ3FfQkIcFiBgAAIKfq2pBw+8QHatqutAqiWCxaEcGwrCs0dzcGUkICA2hOW7Hi9wAAMBR9/IN7Zg0Jvz/tH+FH3/ziYO8O1E2sc/UkISEkixmKFjMAAAA5VdeGhMMO3r/Lx6dOezvc99Cj4Z4HHgkLThgfPrL3LqG5ubmeuwADkpDQ7ciGpKhgwTr9LU1FkJAAAMBQt/nG64VvfvFT4fjf/yVMe3t6OORj+4W1V19lsHcL6p+Q0N1YkjQhwcgGAAAgpwa0IaHktrvuDV/9/rHhiaefCycc/c167gL0m7b2HoxsSGsKYhcZ0ISEsgIYAAAMMbsecGj2taWlOVx9463ZbeTIEdnChaYqEffxEuzyv588wHsKPZSmHDQVuk0FLaSLHSQkAAAAOVXXhoRabbHx+uFbXzok/ODY34XzLrkqfHDP9w3GbkCPtPckISEd2aCowIAmJBjZAADA0PbCiy/Pd9/MmbPCizNnVX1Od3/YhSEhTTmo0lzTiYQEAACgAQxKQ0K06w7vCT887qRw/qVXa0hgWEgXnqcjGSpJExTSUQ/QHyQkAAAwnPy/bx8+2LsA/aJYlpDQrWSbTs8FAADIkUFrSIhxjKNHjczGNsBwkDYWdLfQIW1YiDWFYrFoRQ/9Jh3TkDYnAADAULT3rjsO9i5A/yckFCQkAAAARDVcHfWPl6a8Gqa9PT37Qy0Mu5EN3SQklI908DdiBm5kQ1IAAwAAYOAkKQeFGhISOm0jIQEAAMipQWlImDlrVvjxL/+Qfb/ayisMxi5Aj5sR0tpAecNBufKH2xUWGLCRDZq8AAAABj0hobtoxfJt0ucCAADkSF1HNpz0l7O7fHz27DnhxZdfCTfffnd4461pWYT9AfvsVs9dgH5PR6ilIWH+hAR/JGZgRjbMbY/NM8XQ1E2KBwAADLZYHzjjnH+Fm2+fGF54aUqYPXt2mHjteR2Pvzl1Wjjnwn9ntYODD9gntLQ0D+r+QneK6WKEGhISOm2jIQEAAMipujckxEJBd+KYhqamQvjcJz4c9njfe+u5C9AvylPwu/tjb/lIhzYJCfST+NkqD0WIKQkjWzQkAAAwdMUmhG/88Pjw9vQZHaMcy+sJC4wfF6696bbw4KQnwiorLRd22GbzQdpb6P+EhE7NDAAAADlS14aETTZYOxRC9T+CNTc3hwnjx4Y1Vl0x7LLDNmGFZZeu59tDvylvKGju5m+9seEmpa5Af5ld3i0z776RLYMykQcAAGpKRvj6UcdlzQjbb7NZ+MAu24cfHvf7MHXa9Pm23Xf3ncIDjzwebrzlTg0JDH3JxX+hpwkJkhUBAICcqmtDwmm/+nE9Xw6G78iGsoclJNBfYhrC/PeZPQoAwNB1+tkXZc0IcaHCcUd9PbvvmF/+seK2W2++Ufb1gYcfG9B9hIFISCik27iOAwAAcsoSWqhBeUNBdyMbYtRo2rPQZqUDA5qQIOoTAICh67//uzu7Zjr8kI92u+2ySy0RRrS2hucmvzQg+wZ90WnsQi0JCWltQd0AAADIqbo2JJz0l7OzlQ61+uu5l2TPgaGu/O+7tdQVmpPCQnnCAtSLhAQAAIbjyIaRI0fUPMZxzOhRYcbMWf2+X9BnxTQhoWcjG4ppugIAAECODGpDwpn/vDicfPo59dwF6BdpQ0FsNIirebqTjnUwsoH+Umk8Q6UmBQAAGCri9VStf3ydO7ctTJs+PYwbO7rf9wv6LElI6DSOoZp0m7JkRgAAgLwwsgFqkDYUNNf4W5OOdTAKkoEd2WBlDQAAQ9fSSy4WZs+ZGya/NKXbbe+894GsKWH5ZZYakH2DPkkbbQrdFw86NS1ISAAAAHJqUBsS3pw6LYwc0TqYuwA1aStLSKhF2riQPh/6f2SDzxsAAEPXlptskH0956Irutxuzty54dd//GuWqPCeLTYeoL2DPkhTDpp7NrJBQgIAAJBXg9aQcMV1/w1vT58Rllx80cHaBahZulChqZY5kGWNC+2iFxnAkQ0SEgAAGMo+8eG9QmtLSzj9nIvC+ZdeXXGbByc9Hj77taPCfQ89GsaOGRUO2Ge3Ad9P6KliDxMSOo1sKBZD0WIGAAAgh1r68uSzzr04nHXupZ3ue/2Nt8KuBxxa/UnFYnhr2ttZM0Jc5fDerTbtyy7AkE1ISBsXJCTQX2ZLSAAAYJhZesnFww+/+YXwvZ/+Ovzo+JPCr/54Vpj29vTssY9/4dvZKIdXXnsj++Nsc3NzOOa7Xw4LLThhsHcbupcuRqhlMUP5NvH5tSQrAAAANEpDwtRp08MLL77c6b629vb57qtmi43XD4ce9JG+7AIMiLakqJCOYuhK2riQPh/qqVIagoQEAACGuj3ft11YeMEFwk9OPCU88/yLHfff++Ckju+XX2bJ8P2vH5rVDmBYSBISCmn6QRXzbROfX2vRAQAAoBEaEnZ8z+Zh6SUXy76PC8h/cOxvw7ixY8K3vvTpqs9pKjSFsWNHh9VWWj4st8xSfXl7GDBpQ0FTjQkJaQ1BPwL9ZU7FhIT5mxQAAGCo2XqzDcPFZ/0u3HHPA2HifQ+Hl199LbS3tYdFF1kobLjummHzjdbNEhKgoRISAAAAcqZPDQlrrLpSdiuJDQmjRo4Ie++6Yz32DYaM9nRkQy1FhbLGBQkJ9JdKzQeVmhQAAGAoiqMcN9tw3ewGw10xSUjoXUOC5nIAACB/+tSQUO7e68+v58vBkJH+fTcdxdCVtHGhLWlogHqaXaH5wMgGAACAQZBe+9cwsqF8m2KxGGqrOAAAADRoQwI0xMiGGsc5po0LacIC1JOEBAAAhpuDjzgybLHx+mGzjdYNG6yzRmhtUZogJ5IEu0ItCQnlCx4kJAAAADnkqh96OrKhFwkJc6Uu0k8qpSFISAAAYCi7696Hwt33PRxOPv2cMHJEa1h/nTXC5hutGzbfaL2w3lqrhebm5sHeRRiQhIQ4siQb21BaBJEshgAAAAiN3pCwwQ4fzL6utPwy4cLTf93pvp6I114Trz2vt7sBA56QkDYadCXdrF1RgX4yp8LIhkr3AQDAUHHEZz4W/nf3fWHi/Q+HmbNmh//ddV+4/e77w+/CP8KokSPCRuutlTUnxCaFtddYJTTVGlMHgy299q+xdhAK8fPdNu/5VjMAAAD50+uGhDjXLv1a/n3tTMdj6GtLPttNvUhISJ8P/T+yQRELAICh6zMf/2B2mzN3brj3gUlZc0K83fvgpDBj5qxw8+0Twy133JNtO3bMqLDxemuHzTdeL3zyIx8Y7F2HLhXThoKs0aAGsXYwrx+haDEDAACQQ71uSDj1xKOzr6NHjpzvPsib9O+7tSYkpKMd0oQFqKfZFdIQKt0HAABDTWtLS9hkg7Wz22EH7x9mzZod7r7/4fC/u+4N/7v7/vDAI4+HaW/PCDfeemf4z213aUhg6EsaEgrNtTYkJNtJSAAAAHKo1w0Jm224bk33QR6kCQfNNYZ6NCWNC/oR6C8SEgAAyIuRI0eEzTZcJxvbMGLEiDB3blt46NEnepnGCIMgvfivMV2x0FQIHc9SPAAAAHKo1w0J0Ejak6JA7QkJ734vIYGBTUgwsgEAgOHjwUmPh//ddV+47a77wt33PZSNbYhiI8KY0aPCRuutFbbYeL3B3k3oXppwkCYfdEVCAgAAkHMaEqCHCQlNNa5ySBsX0udD/yck+LwBADB0Pf7Us1nzQRzNcMc9D4Sp06Z3NCCMHNEaNtto3bDFRutlX9dba7XQ3Nw82LsMNSmmCQc1LmZIt+v0fAAAgJzQkAA1SP/mW2tCQtq40K4hgX5SqfmgUpMCAAAMFfse/OVQmHe91NzcFDZcd82w+Ubrhs03Xi9suM4aobW1dbB3EeqQkNDzhoROzwcAAGj0hoQNdvhgXXYg1iAmXnteXV4L+kvaUJCOYqg5IcEqB/pBXEFWaTxD7FGIn7lam2cAAGAwjB0zOhyw725hu602zZIQmmqNuIehKrn2L9T4eY7bdTxL7QAAAMihlr78Iaw+/MGMoS9tKGiq8Y+8zUlCggR9+sPc9uK7hasysVFhdJNoWwAAhp6tNt0g3H3/w2Ha29PDqX89P7uNGT0qbLL+2u+Ma9h4/bDmaisN9m5Cz0lIAAAAqF9DwqknHt3bp8Kw09YpIaHGkQ3JYoh2qxwYoHEN6WOjJd0CADAE/eH4o8LcuW3hvocmhdvuui/87677wr0PTgo33npn+M9td2XbLDB+XNh0w3XC5hutl41yWHmFZQd7t6FbxfTav9bEj0KynXGPAABADvW6IWGzDdet757AEJY2FDT3KiGhXoki8K45ZeMa4ieuWOUxAAAYSlpamsNG662V3Q496CNh9uw5YeL9D4db77o3a1B44JHHw9U33hqu+c9t2faLLrJQuObcPw32bkPX0mv/WkfoJXMhi2nCAgAAQKM3JEAjSReiN9WYkJA2LqQjH6BeZicfzNgA09JUCLPmNSKkjwEAwFA3YkRrloQQbzE94ZY7JoaTTz8n3PfQo9njr7z6+mDvInQvaSgo9CYhQe0AAADIIQ0JUIO0oaC5xppCp4QERQX6QZqCMKK5kDXBzGqb/zEAABjKisViePCRx98Z33D3feHu+x4KM2fN7rTNiFblC4aBXoxs6NS4ICEBAADIoZb+KibEaMXLr/lPVlR47Y03s/sXXnCBsPYaq4Tddto27LTtFqGp1m5xGGTtSexi2mjQlU41BYvV6Qdzkg9Wa0tTaMk+m+90JGhIAABgKHv0iaez0Qy33X1fuPOeB8O0t6d31BNKIx3WXXPVsNlG64UtNlovbLjumoO8x1CDtKGg1pEN6XaKBwAAQA7VvSFh8ktTwjd+eHy4/+HHOhUTohdemhImv/xKNgNy7dVXDr/40f+FpZdcvN67AHWXJhw01VhU6JSQkM6RhDqZPffdYldr0zsjGzoeM7IBAIAhart9Dg5vvDm1U82guakprLnaSu+MbdhovbDRemuFMaNHDfKeQs8U04aEQs8bEjo9HwAAICfq2pAwddrb4VNHfC9rOohFhQ3XXSMrJCy+2CLZ4y9PeTXcfvf94e77Hw4PPPJ4+PRXfhD++adfhPHjxtZzN6Du0r/t1pqQEOPzO55vlQP9PrKhqdNnTkICAABD1etvvBUKhUJYbeXls5pBvG264Tph3Ngxg71r0DfJtX+nUQxdEa8IAADkXF0bEv545rlZCsICE8aF4476Rthyk/UrbhdjGb/+w+OyNIU/nnVe+Nqhn6znbkDdpQ0FzTXWFNLGhXTkA9RLmoLQ2iwhAQCA4eGEo/8vbLrBOmHBBSYM9q7AoI9sKHQa2SAhAQAAyJ8a/7RamziKIa5y+P7XDq3ajBDFCMa4TUxRuPrGW+q5C9Av0oaCphoTEtKaQrKQHepmTnvnhITWpFtGQgIAAEPVzu/dSjMC+ZSmI0pIAAAAqH9CwktTXg2tLS1h5/du2e22O227RRjR2hpenvJaPXcB+j0hoaWpFyMbJCQwAAkJ6WcufQwAAIa6tra28ObUadn3C4wfF5qbmwd7l6BHiuWjGmusHaTbFSUkAAAAOVTXhoQJ48eGmbNmh6YausBjcWHEiNYwauSIeu4C9Iu2XiQkpH8cbi8vTEAdzJn7bkJCTEdIm2UkJAAAMNTNmDkrnHPRv8Pl19wUJj3xVGibFy3X3NwU1lhlxbD7zu8NH9rr/WH0qJGDvavQvfJmgt4kJFjMAAAA5FBdGxI2XHfNbGzDU88+H1Zcbpkut43bTHt7ethq0w3q9v4zZ80KfzrrvPDva28Kk19+JVtVsc3mG4XDDzkwLLHYIr1+3aefeyF88FNfDbNmzw5bbLJ++NMJP6rbPjP86gppo0FXmpPGBQkJ9Ic0BWFElpDwbiFLQgIAAEPZk888H770nWPCsy+8lI1zTM2d2xYeeOTx8OCkJ7KGhd/89Lvd1hh6Qu2AflH2OS7UWDvotJ15jwAAQA7VtSHhkAP3Czfcckf48S9PCb//2feyBIRK5syZk23T0tIcDvnYfnV571mzZodDvvKDcO+Dk8JiiywUdthm8/DCiy+HCy+/Ntx4yx3hrJOODcstvWSvXvtHx50UZs+ZU5f9ZHhKGwqaa01dTEc2lC2UgHqYk3TKSEgAAGC4eHv6jPD5b/wovPjyK1l6Yhz7GBcrlBYSxHGQt95xT7jqxlvD089NDod+4+hw/mknhjFjRvf5vdUOGHIJCQUJCQAAQL7VtSFhnTVXDcf/8BvhyJ/8OnzokK+GT31037D5RuuFxRdbOHv85Smvhf/dfV84/eyLwpRXXw8n/OibYe3VV6nLe//hzH9mzQgbrLNGOOX4ozoKFfG9jv/9X8IPjv1tOO1XP+7x655/6dXh9on3ZzGR5158ZV32leGnrb0XIxuSzdrFLtIP5iQJCRoSAAAYLs7858VZM8Jiiy4cfvfTI8Oaq6003zb77bFzeOSxJ8MXvn1MloB41nmXhM994sN9fm+1A/pLsXxUY40JCZ22M+4RAADIobo2JGywwwc7rXj44XG/73L7L3/vZxXvj3/vnXjteTW/b0xc+McFl2XfH/mVz3VaNXHQ/nuHf11xfbhj4gNZ5OM6a9TeAPHKa2+EX5x0erZSY/edttWQ0MDShoKaRzZ0SkgoK0xAHcxOojfeGdnw7mfOyAYAAIaqa2+6LRQKhXDU1w+t2IxQssaqK4WjvnFYOPzbx4Srb7y1zw0JagcMaEJCmnzQlSRJoVj+GgAAADlQ49VRbeLcx/rceva+d9/3cJg6bXpYbpklw1qrrzzf4+/bbqvs6w03396j1z32N6dmcY7f++rne7ZD5E46cqHWhoQ0SSEd+QD1Mif5YMaEhBHNTRUfAwCAoeTZ518MI1pbwnu32rTbbbfdYuMwckRr9py+UjugX6XNBIXYj1Bb7aDTdhoSAACAHKprQsKpJx4dBsMjjz+VfV1rtfmbEaK15zUpTJq3XS1uvPXO8O9rbwpf/PRHw/LLLpXNsKRxpQ0FzbWObJCQQD+bPbfYKSGhRUICAADDwNy5c0Nra23liJikELedM2dun99X7YB+lSYjJqkH3Uq3la4IAADkUF0bEjbbcN0wGCa/NCX7usRii1R8vHT/C/O26870GTPDMb/8Q1hx+WXCIQfuW8c9ZbhqT4oCtdYV0sYFNQX6w5z2zgkJaUOChAQAAIaqeI3+7AsvhcefejassuJyXW776BNPh2lvzwjLL7Nkn99X7YB+lV7417iQISMhAQAAyLm6NiQMlthAEI0aNbLi46NHjXpnu+kzanq935z6t/DCi1PCn0/8f6G1tbVP+7bPQUdUvP+Z5yeHpZdYLEydOrVPr8/AmJsUFmZOnx6mFuZ0enz69OnzPWfGjHdX8LS1F53rYaLSuRyqZs5u6/i+bfbMToWsWXPbGv4zN5zOJd1zPvPDucwP5zJfnM98ncvx48eHoWyLjdcPzzx/Zfh/J5wc/nDcUWHkyBEVt4sjFH/8y1OylIQtN9mgz++rdkC/mjatYy5qsVCY73qs6n9nZ8/ueN7cOXMb/jpuuPC/m/nhXOaHc5kvzmd+OJf54Vzmy/QBrh30IEOuMTzw8GPhb+ddGj6wy/Zhs40GJ/GBoac9HdlQ4xzIdLti2WtAPcxJGmVamwuhtVNCgs8bAABD08Ef3SeMaG0Nd9/3cPjQIV8N5196dXh+8sthzty52e25yS+F8y65Knvs7vseCq0tLeGgA/YOQ4naAV2PbJCQAAAA0O8JCS+/8lqY9PhT4a2pb2fzIbvygV136NN7jRn9TgLCzJmzKj4+Y+Y7CQpjxozu8nXmzm0LPzzu92H8uDHh6184ONTDhaf/umpyQnt7+5BfuUIIxWIxpH/bHT9uXBg/pnJyRqfzOSJ+7t8dEzJm7LgsVp/hYTj8brYV3/18LTBu3LwmmNeyf89tHx4/w0BwHPLF+cwP5zI/nMt8cT4ZCMstvWT48XeOCN/9yYnh6ecmhx8df1LVa7GWluZs2/icvlI7oD+1TZ8T3qk+hdDU3BzGVLkeK//v7Nwx00KpmtVcaAqjXccNK/53Mz+cy/xwLvPF+cwP5zI/nEuGREPCQ5OeCD/7zalh4v0P17R9HKvX14aEpZZYLPv60pRXKz5euj+OSOhK3O7hx54Miy68UPj6Ucd1emzqtLezrw8+8nj41Je/l31/2q9+3Kf9Zvgtcoiaa1zo0FQ2M7KtWAx9GwACnc1pa++UkNCSJiS0t2cF3BhvCwAAQ82uO24Tll92yfDrP/413HLHPdn/d001NRXCNptvHL50yIFhrdVXrst7qh3QryQkAAAA9H9DQmxGOPiII8PMWbOzYkKMYFxwgfGhpbk59Kc1Vlnxnfd/9ImKjz846Z37V5+3XXdeee317FZJbEy4Y+IDvd5Xhp/yUQu1j2woe513/3YMfRb/G5uOZYjpG2lDQqyFxSaYFg0JAAAMUWuvvko4+bgfZNfZsZ7w2htvZvcvvOACWRPC+HFj6/p+agf0p2J60d/Ug3TEZNti+YoIAACAHKhrQ8JvTv1bmDFzVhaleNQ3DgubbrhOaOrJRVgvbbTemtmYhWeffzE8/OiTYc3VVur0+FU33JJ93W7rzbp8nWWWWjzcd8MFFR+7/e77w6e/8v2wxSbrhz+d8KM67j1DXVtZQaA8+aCa5goJCVAvc9qLIf1EjWguzNcsM3tuMbSMcMwBABg64ujCJ595Pkx7e3pYYMK4sOJyy2SNB5tvvF6/v7faAUMyISGtHagbAAAAOVTXboGJ9z+UxYMf/8NvZMWEgWhGiFpbW8MB++6efX/MiaeE6TNKU/tCOP3si8Kkx5/KmiPWWWOVjvv/dv5lYa9PHB5OPOXMAdlHhq9kEXoPExLKGhKsdKCfxjWUEhJGlMVylG8DAACDZc7cueGEk88I79nrE2G/T30lfPLw74a9P3lEeO8HDgqnnPnP+UY29Ae1A/pV8d3rr0IP6mGF9DpOtCIAAJBDdU1IiPWD0aNG1m2+Y098/hMfDrfdeW+YeP/DYc+PfSFsvP7aYfJLU8K9D04KCy84IRz9rcM7bf/Gm2+Fp555Pkx5tfJoBqg+sqG2YxOTFGJLQrHK60BfpOMaotbmQvaZay6820QTUxQAAGAo+PKRPwv//d/d8zUevPHW1PC7P/8jPP3c5HDMd47o9/1QO2BIJyS4hgMAAHKorhEGyy2zZJg7ty20tbWFgTZy5Ihw6olHh89/8sNh1KiR4dqbbgsvvDgl7L3rjuHsP/4iGyMBAzmyoXxbi9Wpp9nJB6ql6Z1mhFJSQqVtAABgsFxx3X/DTbfdlTUjLL/MkuEzH9svHPmVz4WDD9gnLLbowtn9l1x5Q7h94v39vi9qB/SXYppuUOhBuS1NU5CQAAAA5FBdExLiH/9//ts/h+v++7+w83u3CgNt1MiR4fBDDsxu3fnCpw7IbrXabKN1w303XNDHPWS4NyTERQ49aUiIfxsu9ee0SUignxISRsRYhCQpYebc+bcBAIDBcslVN2Rft95sw/DrY74TRoxo7Xjsc5/4UDjkqz8IDz/6ZLj0qhvDZhuu2+/7o3ZAv0gXMyTXaN1K0hQ6NTUAAADkRF0TEg7YZ9ew5Sbrh6OPPzkbnQB5kDYS9KQZIWpOtm8XvUgdpekHaSrCiDQhYa5iFgAAg++hSU+EQqEQvvnFT3VqRojGjR0Tvvr5T2YpCbEpAYatpJmg0IOEhEKnhARN5QAAQP7UNSGhubk5/Pan3w3H//70cNCXjgwbr79WWHfNVcOY0aO7fN5hB+9fz92AukoXKKQNBrVoSlY6SEig/xISmio2J8xRzAIAYAh4482pYeSI1rDyistVfHydNVaZt91bA7xnUEfp9VdSC+hWuq2EBAAAIIfq2pAQ3XLnveGGW+7IVjfcde9D2a07GhIYytJGguRvvTVpThsSLFanjuZ0SkjoPLKh0jYAADBYZs+ZExZdeMGqj48fN7ZjOxi20maCNPWgOxISAACAnKtrQ8Kd9zwYvnzkz0L7vIuw5ZZeIiyy0IJZcgIMV23tfRnZ8O737UljA/TV7CQhoerIBg0JAAAAA6JYj4SEea9T6MnzAQAAGqkh4eTTzwltbW1Z3OLPj/p6WG7pJev58jAo0kaCNPGg5wkJGhKon7TZYESVhIS0aQEAAICBSUgo9DYhofQ6TRb2AAAA+VHXhoQHJz0eCoVC+Nn3v6oZgdxI/6bb3MOEhDRRIR39APUd2VA5IWHOXCMbAAAYGl59/c2wwQ4frPp4rCV0tU28tJp47Xn9uIfQR71MSJgvDUHtAAAAyJm6NiQUi+1h7JhRYYVll67ny8LQGdnQg0UO5Q0M7RISqKM5nUY2VE5ImOMzBwDAEFHs8x9ZRdgzfBISQl8TEgAAAHKkrg0JKy2/bHjo0SfC7NlzwogRrfV8aRgaIxsKfRjZICCBfhvZ0FQxLSHdBgAABsthB+/v4NNYTTc9GfdYtm2xvaj9BgAAyJW6NiR8+AO7hB8c+9twyVU3hP322LmeLw1DIiEhbTCoRbp5+jrQXwkJI9KEBF0wAAAMARoSaAhtvUxIKEhIAAAA8q2uDQn77LZjuGPiA+Fnvzk1jB41Muy207b1fHkYdg0JnRMSNCRQPxISAAAAhpDkmr/Qg9pBtm3cvPR0IxsAAICcqWtDwvd/9psQE+1bW1rCt398YvjVKWeFtddYJYwdM7rqcwqFQjj6W4fXczegrtJgg6aejmxItpeQwMAkJLy7ukZCAgAAwABp72VCQikloTjv+dIVAQCAnKlrQ8JF/74uazAozc174aUp2a2S0nYaEhjq5qYJCT3rRwhNyaoINQXqaU4SB9qaNCGkzQnpNgAAAPSfYnrR38PFDNm8x9Llm+IBAACQM3VtSNhrl+1DIcuZg/xoL/ZhZEOyuYQE6ml2kpCQpiKk36djHQAAABiiCQnZ9m3Zt0UjGwAAgJypa0PCMd85op4vB0NC2kjQ45ENSQNDW9LYAH2Vph+MSDpfOick+MwBAAAMiKR2UOjhYoa4fcezJSQAAAA508OWbWg86d90e5qQkDYwSEigntJmg9YqCQlGNgAAAAxGQkKP5z1Wfh0AAIAcGLSGhPb29nD9f28PRxz508HaBej5yIYe1hTSBob0daCv0nEMaSpC+n061gEAAID+U0yTDXo8siEpNkhIAAAAcqauIxtq8fRzL4TzL706XHzF9eHV198c6LeHvo1s6OEqh7SBIfn7MdR5ZENTxbQECQkAAACDkZDQ04aEd7cvSkgAAAByZkAaEmbMnBWuuO6/4YJLrw4TH3gku684b7X4yissOxC7AL3W1ikhoYcNCUkDQ/o60Fdp+kGaijAi+T6OdYj/rS308HMLAABADyWLGQo9HtkgIQEAAMivfm1IuOeBR7ImhCuuvzlMnzEzuy/+cWyl5ZcJ799+6+y22sor9OcuQJ+lixPSBoNaNCV/CG4Xu0idxPEfc5PPU7WEhLhF3C5tWAAAAKAfFHufkFBoasqu3+Z7HQAAgByoe0PCa2+8mY1juOCya8KTzzzfKQ0hrtL9+x+OC+ussUq93xYGZmSDhASGgJh8kEobDsqbD2KSQmvzgO0aAABAY0oXIfQ0ISGtNVjMAAAA5ExdGhJiw8F/br0za0K44ZY7Qltbe3bfqJEjwg7v2SLsvesO4dD/Ozrb1ogGhvXIhh6OgUxHPKSNDdAXc9o6r5hJUxHStIR3t9WRAAAA0J+K7b1PSEi37/Q6AAAAjd6Q8Ozzk7MmhIuuuD688urrHbPKN1pvzfCBXXYIu+ywTRg7ZnT99hYGQdpIkDYY1CKtQehHoF5i6kFJ/ES2JqtvYopHS1OhY6TD7LLmBQAAAIZYQkK6veIBAACQM31qSNjjY1/MGhBiI8IySy2eNSHstcv2YdmllqjfHsIga++UkNCzooKEBPo7ISGOaIj/HU7F+0oNCeXjHQAAAOgHSbJBoYcJCZ22l5AAAADkTF1GNnzsg3uErx36ydDa2lqPl4MhJf17blx93hNpA0M6+gH6Im0ySMc1pGMbZsxprzjeAQAAgH6QJhv0sHYgIQEAAMizHg6162xEa2uWjvC38y8LO37wkPDjX/4h3PPAI/XbOxhqIxt6OgYyKUKkSQvQF+kYhpiGUC69Lx3vAAAAQP8opskGfRrZoKkcAADIlz4lJFx7/p/DJVfdEC649OrwyONPhXMuuiL8819XhuWXWTIb37Dn+7cLSy2xWP32FgZ7ZENfEhLUFKiTNPUgpiGUS1MTJCQAAAAMcEJCD0c2pNsX09cBAABo9IaECePHhgP32z27PTTpiXDepVeFy6+5KTz93OTw2z//PfzutL+HTdZfO+z5/u3rt8cwiAkJTT1c5ZAuXk9fB/oiTT2olJAwQkICAADAwEqu+Qs9bEjotL2EBAAAIGf6NLIhtdbqK4fvffXz4brz/xx+cuSXw6YbrB3iwvLbJz4Qfnjc7zu2u/n2iWHu3LZ6vS30u7Y6JSQY2UC9pKkHrRUKXRISAAAABljdRjZYzAAAAORLnxISKhkxojXs+b7tsttzk18KF1x2TfjXv68LL015NRSLxfC1H/w8jBs7Juywzebh/TtsHbbedMPQ0tJc792AfqkppA0GtUgbGCQk0B8JCSNa5v9Mtiaf03RbAAAA6i/Wu7JVOXUY2SAhAQAAyJu6NySkll1qifClQw4Mh3/6o+G//7s7nH/p1eH6m28PU6e9HS6+8vrsNn7cmHDTxWf2525AHRMSevbcdMSDvwvTLwkJzfMXuka0NFXcFgAAgH5QnmrQh4SErLkBAAAgR/q1IaGkUCiE92yxcXZ7/Y23wr+uuC5cePk14fGnngtTp00fiF2AXkuTDXqekFD5daBuCQkVGhLSJoXZGhIAAAD6V7FzI3ihLwkJruEAAICcGZCGhNRCC04IB+2/d3a754FHspEOMJS1J6sTmpIRDLVIGxjS14G6JSRUaJIZkXTCzBHNAQAAMKQTEuJCng5qBwAAQM4MeENCaoN11shuMJSlixN6mpCQNjCkox+gP0c2tCara4xsAAAA6Gft7XUb2TDfawEAAAxzPcyQg8aTNhKkIxhqkTYwGNlA/4xsmP9D2Zrcl24LAABA/RXnS0jo/ciG+V4LAABgmNOQAN1oT4oBTT1c5dCcJCSoKdAvCQkt8/9nfESSmiAhAQAAoJ+VX/D3cNyjhAQAACDPNCRAjxISejiyIfkNk5BAvcxJUg9aKzTJjGgpVNwWAACAfpCOWSgUQqGHtYNCWjywmgEAAMgZDQnQjWQxeqcRDLVIGxjSxgboi9nJhzJNQyhpTe5LtwUAAKAfpE0EPR3XkD2nULm5AQAAIAc0JEA30kaCph6uckgbGNLRD9AXaerBiOb5P5NpaoKEBAAAgP5VTJsIeriQ4Z3nvFueK6odAAAAOaMhAbqRNhJUWIzeg4SEEIpSEqiDNPUgTUOolJogIQEAAKCfdWpI6E1CQjqyQUICAACQLxoSoAcJCWmDQU2/YGW/YRY6UA9zkg/SiJauRzZISAAAAOhnyTVaoRcJCZ2eo3AAAADkjIaE/9/enUBHVtZ5A34ra3e6m4ZuNkEQRVlFhVEYQUXBBcUNV8BxQWbEBZfRGfVzG9cZxX1FGHFFBlTEFVAUQRBUUFFkF2XfmqXXdNaq79ybTvJWdSVdqbpVqbr9POf0SbpSdVPJrVtJ3vrd3x9mkTQalI+CnOPIhooAQxxugHqNjkUNCVUek3098cgGZ9cAAAA0VaMjG+K1g5K/4QAAgHwRSIBZJGMWYnNtSOiuWIgYd6YDGRiJHpjVRjb0RtUcSZtCURAGAACgacrGM9YzsiH+u866AQAAkDMCCTCLygBBldd+Zz/AKgIMXhgmi8dk3LTR171xSKa34jJjGwAAAJpoPLuGhFLctgAAAJADAgkwi8oAQeMNCb7dNKZyBEO1hoS+isuMbQAAAGiiaO2goCEBAACgjEACzKEhoWuOZzpUnrwen9kO9UhGMMzWhpDo0ZAAAADQOvHfaXU0JBTikx80JAAAADkjkACzGG+wISFZVIjXIopmQdKgkbHphoTkodVTZbErGRXSG10+opoDAACgeeIQQaGOpba4VcG6AQAAkDMCCTCLyhMT6hkFGYcYNCTQqNHxUtlohrIzaWYY5RDfBgAAgGyV4hBBlRa7TYoWG0oaEgAAgJwRSIBZxAGCZE1hphd/Zz3IooUFJ6rTqLjtoNq4hkl90cc0JAAAADSRhgQAAIAZCSTALMajsxziYMFcxK8Zx9uDeoxGj6G4BWH2hoSKqg8AAACaEkgo1LF2UHYbDQkAAEDOCCTALIplDQl1BhKihYV4e1CPOFwQtyBUitsTjGwAAABoovjkg646ltri2ziRAQAAyBmBBJhFfGJ5HCyY00EWBRniERBQj5GxeGTDzE/hfdHHjGwAAABonlLcalDP2kF8m1IplKwdAAAAOSKQALMYz7ghwcgGGjUyXppzQ0J8GwAAANq4IaFyewAAAB1OIAFmUYwWAepZU6gMMlhToFGjxbk3JMRjHgAAAMhYdDJDoY6GhI1uU/I3HAAAkB8CCdDkhoR4XUFDAo0ajdoO4haESvHH4tsAAACQsTgEXs/ZDAUNCQAAQH4JJMAs4gBBPHqh7pEN5kDSoJFooStuQagUtyfEtwEAACBbpfhv/XrWDirD5lEzHgAAQKcTSIBax0AWGg8kxCMgoB6jY3FDgpENAAAA866YbUNCydoBAACQIwIJUGtDQn15hLIgg4YEGjUaLXTVPLLBYhYAAEDzRH9zFeo5maGyVUFDAgAAkCMCCTCLOEBQ/8iGaHtaF2nQyHipppEN8cdGxjzwAAAA2rUhIQ0xxEEGoXIAACBHBBKgxoaEukc2aEggQ6PjdTQkRCEGAAAAmjrvsb5txLcTSAAAAHJEIAFmEb+OW39DQjSywaICDRqJAgk1NySo5gAAAGiaUoMNCZW3K9seAABAhxNIgFkUowDBLK/9zn6QRQ0JxWgEBNQjbjvo05AAAAAw/6K1g0ImDQkCCQAAQH4IJMAsxktZjGyItmdNgUxHNtTWkDBqMQsAAKB5MmhIKMS3064IAADkiEACzCIesZDJyAYNCTRoJGpI6K2xISG+DQAAABmLAwQaEgAAAMoIJMAs4gBBd50NCWUjG5zlQIYNCXELQqW4PWF0TDUHAABAs5QyaEiIb1dyMgMAAJAjAgkwi3hNQUMC7deQUNvIBg0JAAAAHdSQYN4jAACQIwIJUGNDQr1rCnGzgjUFsmxIqHVkQ/I4jsePAAAAkKHS9N9phTobEspupyEBAADIEYEEmEX8Im7dIxuio6xoUYEGjBVLZSfe1DqyITEa130AAADQXg0J8ZqDQDkAAJAjAgkwizhAkMnIBosKZNSOsKmGhL6Kj41Gox4AAADITikOgNfZkFB+NoNAOQAAkB8CCTCL+DXcrjobEspGNmhIoAEjFYGE2RoSeroKIX7EjoxZ0AIAAGiK+OSDOtcO4maFkpMZAACAHBFIgFpHNtR7kkMcSLCoQAPiloNkrWq21o5CoVDWoDDqsQcAANAcUaNBQUMCAABAGYEEqHVkQ70NCdGLxl4TJquRDbO1I1S7TuW4BwAAADIS/7Ff57jHQnw7IxsAAIAcEUiAWcSNBl11LipEJ6lrSKAhI1FDQtx+MJP4OvFtAeb7Z2vJCCMAIE/iAEEmDQn+fqM5SuNFv4sDANByPa3/lNCpIxsab0gY9wIMLWxI6NWQALSZ21cNhVP/sCL0dBXCvx6wMCxd2DvfdwkAoGGlDBoS4tuVNCTQBGO33BWGL/1r6Fq6OCx42v6hUO9sUgAAmCO/ecIs4jWFekc2dEW3KzrLgQaMzrEhoXxkgzNsgPl32a2rwuBoMaweHg9/umP1fN8dAIBsRAGCgoYE2tTo1TeFMDYeivetCuN3rJjvuwMAwGZEIAFqHdlQ50kO5Q0Jvt3UbyRqSIjbD2ob2RBViALMk9VDY1Pvr4neBwDoaBk0JBTi22lXpAlKg0NV3wcAgGYTSIBZxCMW6h7ZUKgecIC5GokSLXMd2SCQALSDwZHxqffXRe8DAHS0UhQAz6IhQaCcjJVKpVAaHpn+//Co7zEAAC0jkACzKMaBhDpHNsRBhnh7MFejZQ0JtYxsmL6OkQ1AO4hDCAIJAEAelJITD+I/9eutV4zWHJIXjyFTo2NlTR6loelwAgAANJtAAswiPimh3oaErmhRQUMCrR3ZoCEBaB/JwnocQhgc1ZAAAOSsHaGhhoRozaFo5B7ZitsR0v8LJAAA0EICCVDryIY6T3KIgwzx9mCu4paDuP1gJhoSgHYyPFYs+zm4blggAQDIgYrRjIU6T2YoxEEG4x7JWGUAQSABAIBWEkiAWcSNBl11LirErxs7yYHsRjbMrSEhvi3AfKgc0bA+CShYbAcAOl0xq4aEOJDg7zeyVRoanbUxAQAAmkkgAWZRLGtIqDOQoCGBjIzMsSGhN7pOfFuAdggkJIxtAAA6XakyYFnnyQzlIxv8/Ua2SsPD5f83sgEAgBYSSIBZxCeVx8GCOR1kUZDBmaC0siGhT0MC0EaqhQ+qhRQAADpKZZtBofGGhJKGBJrckBBGRj3OAABoGYEEmEU86zoOFsyFhgSyMhq1HMTtB7WNbHCGDTC/1g4LJAAAOVTRZlDIpCHByAayVRoa3viy4YqQAgAANIlAAsyiGC0s1HBCelXxqAdrCjRiJGpIiNsPZhKPdYhvC9AuDQmDGhIAgE4X/6EftRzMVSG+rZENZKzqiAZjGwAAaBGBBJhFPGIhDhbM6SDrqt64AHMVtxzUEkgob0gQSADm17oqDQlrR8bm5b4AAGQmDg/U245QeVuBBDJWrQ2hNFwlpAAAAE0gkACziAME8eiFuYiDDHHAAeYqbjmoZWRDeUOCxx4wv9ZpSAAAcqiUUUNCfNuybUIWqo1s0JAAAECLCCRAzSc61BlIiIIMyeaKWhLIoCEhbj+YiYYEoJ2sq9KGsM7IBgCg00V/4xc0JNBJDQkCCQAAtIhAAtQ6sqHOo6UyyCCQQL3isQtx+8FM4uvEYQaAdhnZIJAAAHS88WwaEgrx2kFJQwLZKZVKVcMHAgkAALSKQALMIAkOlGYYvTAXlaMe4rUKqH9kw9waEuLbAsyHwSojGwQSAICOF7cgNtKQEP+NZ9wjWUqayqq0dZaGNw4pAABAMwgkQA3tCOnBUufCQuWJ7JXbhVrPaIhbDmppSOiNrpM87MY89oB5fA6rFj4QSAAAOl2pmE1DQih0Vd8mNGim4IGGBAAAWkUgAWYwXpEer7choTLIULldqEUSJogfObU0JPRVXCce+QDQSkNjxaon+g1WCSkAAHSU+JecOtcNUvHagTA5GZopeKAhAQCAVhFIgBlUnpBQOXqhVpVBhqKFBeoQtyNUth/MpDK0ULkNgFaZqQkhCSqMOQMQAOhk0e8yhRqC4zMpxO0Kfj+iFYGEGS4HAICsCSTADCqbDOodBVl5O68JU4+RinaDyvaDapLMQvz4q9wGwHwEEvorAlWDI56bAIAOpiGBNlfWhNDXU/1yAABoounfQnNgaHg4fOXUM8O5518c7rzn3rB0yeJw0P77huOPPTpst83ymraxes26cNFv/xAuvOSy8Jerrw9333t/6OvtCbvuslN41lOfGF76/GeG3p5cfduYwXhFk0G9DQmFQiFtSZgMOFRuF2oRtxv0dBVCVw1VoMljL2lJGB6beLHPyAagHQIJS/q7Q3FoPIxu+Hm4bmQsbLHA71YAtI61A7JUitsM4paDudKQQJPETQhdSxeH4oqVE/8ZGQul8WJDzR4AAFCL3Kz+Dg+PhGPf8r40RLDN8q3CUw7aP9xx1z3hB+ecH3596eXh1BM/FnbaYftNbufrZ/wg/O+3vpe+kLfHwx8a9tlrt/DAylXhT3+9Nlx5zQ3hvAsuDV/+xH+FhQv6W/J1MX+KUUNC8tJvLS8AzyT52258fOPtQq3idoPeOYRj+roLYXhschsee8D8BxIGervSkNWq4fFZxzkAQDNYOyBz8UkH9VYrVty25EQGMhQ3IZQFEjZ8rDCwwPcbAICmyk0g4aRvfTcNIzx6793DyZ/4rzAwsDC9/Btn/DB84ktfD+/72BfC1z774U1uZ2DBgnDMUUeEo454ZnjQdttMXX7zbXeEf3vr+8Mfr7wmnPzN74Y3v+Zfmvr1MP/idvt62xEmTYQZNjQkCCTQYENCb0/tZy8kDQkhTLzYpyEBmC9JC8IkgQQA5pO1AzIXNSQUMgokxNuELBsSCosWhNDTHcLY+PTHBBIAAGiyXHRyjY6OhtPPOjt9/91vec1UGCHxypc+L+y26y7h8iuuClddd+Mmt/Wv//LC8NbXvqIsjJB4yIN3CG95zcvT98/55UWZfw20nzg4kIxcaEQcaDCygXrEYYKk9aBWcZtCHGoAaKXBioaE5N8kDQkAtIq1A5rfkFD/MluhbGSDv91oUiBhQV/6b0rUngAAAM2Si0DCn668NqxZOxh22nH7sOduD9vo4087+PHp2wsvuayhz7P7w3dJ395z3/0NbYfOUIwWABoZA1kZaLCuQMMjG+Yw37EvalOItwHQSnHoYGFPV1gokADAPLB2QFPELYhZNSSU/O1GkwIJ/X3pv2ofAwCAZsnFyIbrbrwpfbvnIzYOIyT22hBSuH7D9ep12x13pW+3XrZVQ9th82tIiAMNGhJoeGTDHBa5eqM2hRENCUAbBBLSkQ1ROi9uTwCAZrJ2QDOU4uB3I2czFKLblpJMQqmxERAw+XAanrkhIf4YAAA0Sy4CCXfevSJ9u902y6t+fPLyOzZcr16nfu+n6dunHLR/Q9uhM8RrCvHIhXrEgQaBBOoRtxv0zaUhIbpuPPYBoF0CCUY2ANAq1g5oiqjNoGzswlxV/p2Xbre7gTsGSYFHqWwsg4YEAADmQy4CCYPrh9K3Cxb0V/34wgULJq43uL7uz/GdH54bfvuHP4clixeFY1/2gppv9/xXvqnq5bfcfmfYYbttwpo1a+q+TzTX2nXD0/8plWbdV4ODg7NvLGpbWDc4GNas8cJwu9rkvpwnawcnnucShdJ4zc8dheJ42TY2p+ecdt2X1Mf+7Gxrh8em3u8aHwndxemfg6vXj2xWz0154rjMF/szX/tyyZIl83032pK1A5qhsH44TJ6CMDo+FkZm+L1mk8+zw6Nlc1XXrl4TQo9AQrvqmJ+byeMqmiqybmwkLeOYfMyOrFkXhjfz38U7Zl+ySfZlvtif+WFf5od9mS+DLV47yEUgodn+8Oerw0c/f0ooFArhQ+84Pmy79bL5vku0QNxuP4cT0quKb681n3rEZxPHYxg2pSdq94i3AdDKs7LWj04HEBb2FMJocfoH42D0MQDoZNYONlNRQ0JoZNxjZTNjGuAUSKBBI6NT75aSx2dPdyj19UwFEuKPAwBAs+QikDCwcKIBYWgoOqM9sn5o4szigYGFc972DX+/Obzp3f8TRkfHwjvf9K/h0Cf985xu/4NvfG7G5oRisejMlTbWv356MaC3u7umfTXTdXp7HgghTJwd2te/wH7vAO12Vlmhe/r5bWBBf833b9GC5Plvoh2m0N3Tdl9XK2yOX3Oe2Z+dZ3BkPBmDPGXZFotC91DS3jJxJtLQWMl+7XCOy3yxP8kzawc0w3BP74a/9kPoXdAf+jfx98dMz7OlsfENvx1NWDSwKHQtrN4ESvto95+b44OjYbJvsWtBXxjYYoswunRtmBzi0D1WCgvb/GtolXbfl9TOvswX+zM/7Mv8sC+pR4PnfbeHB223Tfr27hX3Vf345OXJiIS5uO3Ou8Nx//GBsHrN2vD6Y44ML3vh4RncWzrFeHQ2eVflmQpz1B2dJRFvF2o1Oj591k3vHB6PvT1RQ4J6DmAerBuZHh2TFLz0dxfCQO/0r6DD48Wy5zgAaBZrBzRFsZkNCdCY0vBk9CCEwoK+DW97pz8+w8ldAACQpVwEEnbfdZf07TU3/L3qx6++fuLy3TZcrxYr7rs/vOZt7w8r7nsg/MuLnh1e96qXZnRv6RRxbiAOFNSjO1pYGC8JJDB3I9GLdX1zmCESXzfeBsB8BBIG+rrTEVgLo0DCZIsCADSbtQOavXhQ6Gpgma1y3cHJDGSgNFQtkDDdvFEaNrIBAIDmy0UgYd999ghLFg+EW2+/K1x7wz82+vh5F16avj34wMfVtL1Va9aG4/7jg+n2nv/MQ8Lbj3915veZ9hc3Gczh9d+quqKFhaJAAnWI2w16k1OMaxS3KWhIAObDupHJEuMQFvVNzEHu6SqE/p6uqqEFAGgWawc0RRwcaKBdMQltlt1eQwIZBxJC/4ZAQv90Q0IYHQulcb+LAwDQXLkIJPT29oYjj3hW+v5HPnNyGFw/OR0thG+c8cNw/Y03hcc+Zu+w9+67Tl1+2vfPDs95+fHhMyd/q2xb64eGwxve8eFww99vDs94ykHh/f/5+ok/CtnsxE0GmTYkOEmdFjYk9GpIAOZZHDZY1NezUTih8joA0CzWDmiGUhwcaKQhofL2GhJoWkNC34zXAQCAZpheFe5wx738xeF3f/hLuOKv14Znv+z1Yb9H7RXuvHtF+MvV14dlW24RPviO48uuv3LV6nDTLbenIxlin/vKt8Ofr7oudHd3he7u7vC+E75Y9fN95P+9qalfD+3VkNDVwFkOifiEdiMbaGVDQl90XQ0JQDuMbIgDCfcPTlTECiQA0CrWDmjXhoTK25cFHaBOpeEokDDZkNDdHUJPdwhj49NjGxYt9D0GAKBpchNI6O/vC6d85oPhK6eeGc7+5UXh/It/F5YuWRKed9gh4fhjjwrbb7t1TdtZvWZt+nZ8vBjO/sWvZ7yeQEL+ZdmQEAcais5yoA6jdTYk9EWV6PE2AOanIaE8kFDtOgDQTNYOyFwUHChk2ZBg3CNNakiYfL+0dv2G6wz7XgMA0FS5CSQkFvT3h+OPPTr9tymvP+bI9F+1oIGwAYn4ZIR45EI94kBD3LwAtRqpsyGhN3rsxtsAaJXBGQIJA70CCQDMD2sHtGtDQhJomNqaQDlZNySUBRL6o0DCRGsZAAA0S4PRbdg8GhIabV2MAw1eE6aVDQm90XU1JABt1ZDQHwcSxlp+vwAAMlGKzmZouCEhWnzQkEBTGxJ6p68UhRYAAKAZBBJgBnGTQaMNCfHNNSRQj9Ho8RiHDDYlDi+MSsMA7RRIiBoSBkeNbAAAOlMprlds9GyGqF2xpCGBBpWSdYTh6faDQn9f1ffj0AIAADSDQALMoBidjRCPXKhHHGiItwu1GokWo+Y0siG6brKNkscf0C6BhOj9dcMCCQBAh4rC48nIhYbEt/e3G40aKQ8alDckCCQAANA6Agkwg/hkhK4Gz3KIAw3xKAioRRJiidsN6h3ZkGxhLJ5vCtCC56/1UfvBQO8MgQQNCQBAp4obEho8maEQrz3E24U6lIZGy8MuPd3VAwlGNgAA0GQCCTCD8SY1JBjZwFyNVYxamEtDQl/FdY1tAFppcGQ8DUNNWtQfBxJ6qrYoAAB0lDj0PYfw+CYbEoTJaVBpaLgsgFCI1raMbAAAoJUEEmAGxeiP/4bXFKI/+qwp0Mi4hsrWg02pvG7ltgCaaTBqPujpKoT+6DkpDickYamRMc9PAEDnKcV/5Dd4MkOITmYoaUigQaWhkaqNCJX/15AAAECzCSRADQ0JcaCgHvFJ6hoSmKvRYv0NCUk7R9zwoSEBaKV1w9G4hr7usrOy4vEN6XWNbQAAOlEcHIgbDuqhIYEMxUGDuBEhFf0/Di4AAEAzCCTADOLgQDxyoeGRDVHQAWoxGrUa9HYV5hyQicc2xNsCaLY4ZLCor3ujn40Le7rKxjsAAHScaO2g0ODaQdntNSTQooaEMDYeSmN+FwcAoHkEEqCWMZANNiR0RYsK8SgIqMXIWKmucQ3VbjMy7vEHzE9DwqKKRoTJ1oSp6wokAACdSEMCbao0PDr9n8pAQkVjgpYEAACaSSABampIaOzbFAcaNCTQUEPCHMY1VLuNhgRg3hoS+jcOJMStCQIJAEAnKsUnHTTYkFB2ew0JNKg0NDxjAKGQLHT19VQd7wAAAFkTSIAZxMGBuVbkV4oDDRrzmavRaIGrr450THwbgQSgleKQwUDvpgIJYy27XwAAmSlFY/G6Glxmi25fFnSAOpSGRmcc2VAZUtCQAABAMwkkQC0NCY2ObIhuX4yCDlCLkQwbEoxsAFppMAokxOGDapdpSAAAOlI0Fq/QaENCvPYQBx2gDnHrQdVAQnSZhgQAAJpJIAFmEJ+M0N3gokJPdPs46AC1iFsN6mlI6I1uE4cbAJotbj2oFkgYiGpiBRIAgM29ISGt0a8SdIB6xK0Hhf7ejR9vGhIAAGgRgQSopSGh0dbF6CyHeBQE1GJkrNRQQ0JfdJtRi1pAC62bQ0NC3KYAANAJSsnf9/FJBxoSaBOlYjGEkXhkQ/9G1ylrTYjCCwAAkDWBBJhBHByIAwX1iF9DdoI6czWaLCRUaTuoVXybuG0BoLWBhOk2hOnLjGwAADpY5QkHDTYkxLcvaVekAaXh6TBCorCgSkOCkQ0AALSIQALMoFjWkNBgICG6fVFDAnM0ErUaxG0HtYpvE28LoNlNQ+tHizU3JBjZAAB0nIrQQKHRhoT49lEwHeYsbjzo7g6Fno3DwUY2AADQKgIJMIP4ddvuBhsSykY2OMuBOYpbDTQkAJ1icLR8BMNADYGEtPYYAKBTVIYGCo0tsxXihgVrBzSgNDwyaztC5ciGkpENAAA0kUACzGC8SQ0J8SgImHtDQmMjG0aMbABaJG486O0qVG14iQMJY8WSFhcAoLNUhgbqaLQroyGBjMQBgzh4EBNIAACgVQQSYAbxaIVGWxfLRjZoXaShhoTGRjaMOssGaJHBKJCQtCMUqrQNLewtb00wtgEA6CSljBsSQtSQUPK3G1kFEvpnCCRElyeNCtrKAABoFoEEqKUhoeGRDdF2NSQwR6NRQ4KRDUCniMMFcRNCZWBvoHf619F1I2MtuW8AAJmoDA10ZdmQoF2R5jYkhPjy5ESIsfKRawAAkBWBBJhBHBzIdGSDRQXmKB6zUK3yfFPi24yMWdQC2ieQMNmeUK1VAQCg7cUNCYVC1UaouShEDQnqFWlE0niw6YaE3hlvAwAAWRJIgBnEuYGuBhcV4oaFeBQEzHVkQ1/33J+241aFeFsAzRS3HcwWSFjU1zP1/lqBBACgk8R/3zfajlC5DScz0OSGhDQA09db9TYAAJAlgQSoZWRDo2Mgo0CChgTmaqRsZEODDQnRtgBa1ZAQtyBUisMKGhIAgE5SigPfcbtBvQrT2yjF7QswR2XhgplGNlSEFQQSAABoFoEEaPXIhlJyEoUXhald3GoQtx3U1ZBgUQuYl5EN0y0IswUS4tsAAGx2DQlxAL0kkEBzRzZUfszIBgAAmkUgAWYQNxk0PrKh/P+aF5mL0ajVIG47qFU85iHeFkAzxW0Hs41siNsTBBIAgI4ShcfT+vsMGxIsHNDskQ2VH9OQAABAswgkQBVJg0EcGsiyIaGyfQE2ZaThhoR4ZIOzbID5aEiobWSDQAIAsDk3JBTibWi3o5FRIqNj048rgQQAAOaZQAJUUdlg0N1gQ0Jlw0JRRQJzELcaxOGCukY2jCdhG4EYoH0CCYujj8WtCgAAbS8ODWTRkBBvw7oBdaocvTDryIY4rDA86nsOAEBTCCTAJsY1ZHGig4YE6pWEB8aix2M8fqFWlWMe4u0BNEPyPDM0Nr1Ab2QDAJBHpfhvqwZPZKhcfChpSKBOZaMXerpDoWfmcHChvze63bDvOQAATSGQAFVUjlRofGRDxfa15lNHO0L9IxvKbzPqAQg0WWXTwcAcRjYkY5MAADpCFBoo1PG32kY0JJBxQ8Js4xomPt4f3U5DAgAAzSGQAFVUVtpnPrLBiy3UaKQiPFDZdlCLyjEPIxUhB4BmjmtInrdma3eJAwlJIHA4alYAAGhrGTckFOKTITTbUa+oIWG2cQ2VgYWyZgUAAMiQQAJUUXkCeaMNCUkgId5E5UgImEncZpA8hHrqeCwmj7/4dhoSgGYbHBmraVxDYmFvd/r8Vi3MAADQ1uKxCnG7QSYNCUKa1CcOFmyyISEKLCS301YGAEAzCCRADSMbGswjbNhGYcbtQy0jG5Kmg0KdZ93EzQqVYyAAshaHCmYb1zD58zG+jkACANApSvHJBtksHFTfNjRtZENfeQhmTDgYAIDsCSRAFXGDQbIeUO+LwDONfXCiA/WMbOhtYCZpfNvKMRAAWYtDBYv6ejZ5/bhFYXDUIigA0CGa2ZBQ8ncbGTQkbGJkQ+jrnfG2AACQFYEEqKIYNRg0Oq5hejvT72tIoFZxm0HccjBXSbtCtW0CND+QMHtDQmKgd/o6a4cFEgCADhGdzFDIYO2gbBv+bqMVDQnJY65ibAMAAGRNIAGqiE8gj5sNMhvZoHqRFjck9GlIANo4kLCoX0MCANCB4hYDDQm0Y0PCJgIJE9fprRpmAACArAgkwCZHNmTVkBAFEqIGBphN3GYQtxzMVRxm0JAAtDKQMFBLICFqSFinIQEA6BCluMUgi3bFeP2hWAolawfU87iMWw42NbKhIrSgIQEAgGYQSIBNjmzI5lsUNy0UNSRQR0NC3HIwV/G4h3ibAM0OJCyuJZAQXWfdyJidAgBsng0JlX/zCSTQioYEIxsAAGgygQSoIm4wyGxkQ3S0GQVJfQ0JXRk1JAgkAM01GDckRO0HM4lbFNaNTt8WAKCtRScbFDJoSChUrj84mYE5Ko2PhzA2PseRDVFDgpENAAA0gUACbGJkQzxqoRFxsCHePtTekNDIyIa4IcHjD2hdQ8Ki/k0HEuIWBSMbAICOUcy4IaFyG/H2oQaVIxfi9oOZaEgAAKDZBBKgijgv0JVRQ0IcbIhHQsBs4jaDRhoS4nEPGhKAZkqeY4aj565FNTUk9Ey9P6ghAQDoxMWDLNYOKk+IcDIDjQQSentCoYZ1hLKGhIpAAwAAZEEgATbZkJDNtygONmhIoL6RDdk0JMTbBGjmuIbKcQwzWRQ3JIyMh5LgHgDQAUplDQlZBBK6Zt4+1PKYjEYu1DKuYaPrGdkAAEATCCRAFePRCyHxqIWsGhK8Hkx9IxuyaUiItwmQtXVRw0F/d1dN7S5xICHJBA6NeZ4CADpAdDJDIZORDRoSaEzccFDLuIbK62lIAACgGQQSoIpitKjQlcVZDmmwYfp9DQnUSkMC0GnWDY9XDRrMZkFvV9n6e9KSAADQ9soaEhpfYiskJ0TEJ0VoSGCuhkcbakhIGha0lQEAkDWBBGhRQ0IcbIi3D7OJ2wxqOct4JvFtNSQAzTQYNSTUMq5hcqzRQG/52AYAgLYXncyQyciGyu3E24calIaGp94v9PfW9D0rCy4kj7nRMd9rAAAyJZAAVcSN9vGohUbEwYa4gQFqbUjoi2s2GhjZEG8TIGtrR+bekFB5XYEEAKATlDJuSKjcTtn2oZbH5FDckNBf2/esr7esmcPYBgAAsiaQAFXEIxWyOskhDjZ4PZhajUbpmDhUMFdxmCHeJkDWBusMJMRtCgIJAEBHaHZDgnZF5igOExQW1NiQUCiUtSkIJAAAkDWBBNjUyIbMGhKi7WtIoEYjUXrFyAagE6zLpCFBTSwA0AFK02HvQkYNCWXbESZnrg/J4SiQ0B+NYtiUaGxDvA0AAMiCQAJUUYwDCVFtXUMHWxRsiLcPs4nbDHobCMf0ljUkePwB7RhI6KnasgAAsFk1JMRrENYOaKghocaRDRXhBQ0JAABkTSABqohPQoiDBI2Igw0aEqhVHB7o62lkZMP0bY1sAJopbjeovyFBIAEAaH+lYrGpIxvKtg+1PCbjdoMaRzYkCnFDQhRqAACALAgkwKZGNmS0phCPfoi3D7MZiRsSGngwxreNx0AAZC1uNxBIAAA2n4aEjJbY4u0Y98gclMbGQhgbr68hwcgGAACaSCABqihGf/THQYKGDraoIcFJDtQqbjOIWw7mqje67VixZGwI0DRxu8FANIZhUzQkAAAdJ1o7KGQ07rEQr0FYPGAOSkOj5Y+l/jk0JBjZAABAEwkkwCYbEjIa2RAdbRoSqEUy2iMuM+htIBzTV9GuEI+CAMiy1SVuYam3ISFuWQAAaFtxYKCBAHkZDQlkMa6hrycU5tDaoSEBAIBmEkiAKqKT0kNXRg0JcbAheaEZ5tKOUNlyMFeVt63cNkAWKoMEA3MIJMTXHRwd1+QCAHRWIKHQjECCv9uoXWlopGrjwZwDCdF2AAAgCwIJ0KKGhDjYUIy2DzOJzzJO9PXU/1hM2hUKs2wbIOtxDQt6ukLPHEJ9cUNCktsbGrUADwC0t1J8skFGJzPE2ynbPswlkBAFDGpRFmAQSAAAIGMCCVBFMfqjP6vWRQ0JzFXcYpCsSTUSjknmmfZGYxs0JADNDiTMZVzDZIAhni4TbwsAoC1FDQZzqceflYYE5iOQEDckDI+GkhNpAADIkEACbKIhoSujhoQ42ODkdGoRtxgkIxeSUEEj4rENyZx3gHYKJCTPcfHYhnUjY5neNwCAzDWhIaEQb0dDAnMx3MDIhvj6yZrYyKjvPQAAmRFIgCrGyxoSMhrZEL2YHG8fZhK3GCQjFxpV3pDgMQg0N5AQhwtqFYcYNCQAAJ3UkNCMkQ1l24dNaKQhIfT1JAnhqtsCAIBGCSRAFXFeoJGa/FgcbCiqvmOOgYS+DGaHxNswsgFohrjVYK4NCRO36Ym2ZWQDANDeymrtmzCyoeRkBubyeBxuYGRDoVA+tkEgAQCADAkkQBVxg0FWawpxsCEeCQG1jWzItiEh3jZAVgYbGNmQKB/ZIJAAAGx+Ixvis9RDSUMCdTYkzHFkQ3qbOJAQhRsAAKBRAglQRRwYaEZDQnTiO9TWkNDT+NN1b5SuGfEgBJogDhEsitoOamVkAwDQUaKRCoWMzmYoxO14GhJo1ciGRBRi0JAAAECWBBKgimL0R38cJGhEfIK7kQ3MuSEhg8dhX8/0NkY1JABNDyTUM7Khu2rbAgDAZtmQEAUeYFPjQ8pGNmhIAACgjQgkQIsaErrKGhLU5TO3hoTe+CyZOsXbiLcN0I6BBCMbAIB2fwE4xOMYCxktsUVNCyVrB9RqbLysjrOehoSykQ1R2wIAADRKIAGqiF+rza4hQSCB+hsS+uKKjTr1RYGEeNsAWS3Kx60GAwIJAECeVYYFMgiRp+I1CA0J1GijAEF/75y/d3GrQmlo1PceAIDMCCRAFfFIhaxaF+Ngg5McmJeGhOgxqCEByFoSdBqNfsBpSAAAcq0iLFDIqF2xEDUkWDygVvG4hiSMUPY4qqchYXjYNx8AgMwIJEAV8UiFrBoS4s0Y2UAt4haDrEc2jBjZAGQsbkdIDPTOfWRDfJv1o+NlAUEAgLZS2V6Q1dkMGhJosCEhbjqYCw0JQFsZHNIUBJAjAglQxXj0Akg8aqERcbAh3j7MJG4xyGZkQ9yQ4DEIZGtdFEhY2NtVV6BvUf90IKFUJeQAANA2KqsP6zgjvSoNCTQaSIiaDupuSKgcAQHQQiNX3BC6fvHHUPjVFaE0OuZ7D5ADAgmwiRMdujI6yyEONjjjk3kZ2dAzvQ0jG4CsrRsZa2hcQ6K/u6vs5+XgqEACANCeSpUnGjShIaFU2cIANYxsqLshYUHv9H9GRkLJvFFgHiQBhNFrb5p4Xlo3FMZuuct+AMgBgQSYj4YEf9Qxx5ENWTckxNsGyLohod5AQjJ7OW5JWDcskAAAtKnKMXgZrR1oSGD+GhL6ow0mCwejdgbQcuO3ryj7GTt+s0ACQB4IJEAVcWAggxPTJw62aHHCa8HMS0NCVP2pIQFobiChp+7txGGGdRoSAIB2FTckdBXSYGUWCnHTQklDAq0LJISe7vKGjqh1AaBVxioCCON33e/5CCAHBBJgEw0JcZCgEfHryRoSqMVosXkNCaNSMUATAwkDdTYkJBb1akgAADqsISEKfzesEC8eaLajRlmMbCgUyloS4pADQKvGNYzfcW/FhaUwdus9dgBAhxNIgCriMY3xqIVGxKMfipWzJqGKkbGMGxKibYxU1osCNGhwtPGRDelt45ENGhIAgDZVqmhIyEwUJC9pSKCVDQlpmKG36jYBWmH8tnvKF+ZnaE0AoPMIJMAmGhLiIEFDB1u0QJGc+C6UwKbELQaZNCT0xCMbhGKAbK0bHq/acjBXA3FDQtS6AADQVootaEiIWvOgJYGE6LYCCUCrxcGD0hYDU+8X777PcxJAhxNIgCrikQoZnJheNdggkMCmxC0GmTQkRKEYDQlA1uI2g7jlYK7idoVBgQQAoF1F6waFDAMJhbhtocpZolCtraM0nE0gIUTjHuJtAjRbaWQ0jN85Pa6htNcuoTT5fFYKYezWu+0EgA4mkAAVkqBAfA5CV0YNCZWvJ2vMZ1NGowWurEc2aEgAsha3GTTSkBAHEtaNjDV8vwAAmt+QkOHIhjjcoCGBWoyOlQdkolDBXGlIAObLWDquYcNzWTI+ZuulIeywfPrjxjYAdDSBBJilHSHRndHCQmWwQUMCmzrDYTRKrWQysiHaRjKWpPKxDtDIc1bZyIaMGhKMbAAA2lUpDiRkdCJDSkMCc30sxk0GyUOxr7fu76FAAjBfxm+ebkDo2Wm79OdhaYetpy4r3nN/KK0fnqd7B0CjBBKgQuVrtJWjFupVGWzwYjCzSQID8WMx64aERBx4AGjE8Hgxfd6aNNBQQ0LP1PsCCQBA24r/YMtwZEO8rZIQOTUoDUWBhL6+8rEfjQQSjGwAWqQ0PBrG75oe19DzkO0n3tlqcSgMLNhwJWMbADqZQAJUqAwKZLWuUBlsiF+4gUojY+WPjywaEnortjEy7jEIZCNuR0ieaQailoO5ihsS1o8WBfgAgPYUV+RnOLKhbFtxCwPMoDQ0WjVQUNfjLxr3UBZ0AGjVuIYFfaFr2602PCkVQvfO201f75a77AeADiWQABUqgwJZNSRUrk84OZ3ZVLYXZNGQ0NNVSF8onOlzANRrcHQ6kLCwt3ujMUVzURlmiLcNANA24rBAkxoSNqpwhCpKw9MV5oUF9Y9rmLi9hgSg9cajoEEyrqEQ/SycaktIfize/UAoGtsA0JEEEqBCseIP/spRC/UqJInO+EQHDQnMYjR6HCaPmyweh8ljsC8KNoxqSAAyEo9WiBsO6pE0wvRGz3nGNgAA7ahsnEKGDQll29KQwFwbEvr7G/qelTUsDI+Gkscg0GTJeJjxO++rGkBIdC1fGgqLFlQNLwDQOQQSoEL8Gm2yDNDIWZ4bHXDRwkLlaAiIjUTtBVm0I0xvq1D1cwC0SyAhCU/FLQmD0bYBANpGqfkNCSUnMlDLQ3Eow4aEaGRDang67ADQDGO33pP8wJt4DkrGNWyzVfnzUqEQenaeDimM3Xy3HQHQgQQSoEIcFMiqHWFqe1G4oXI0BMTi9oK41aBRcbjByAagHQMJldvQkAAAtKXob7ZCsxoShMipQWlopHrDQT16upPFsKrbBmiGuPGge+ftq/5M7Y7HNqx4IBQHh+wMgA4jkAAV4lEKGecRygIOWu+YzchY3JCQ3QMxqUKf+hxGNgAZiUMDcbtBvQQSAIDNtSEhnps9ecYozPpQjFoMNmo4mOvjr1Ao20ZSpQ7QLEnoafyu+2cc1zCpa9kWobB44dT/x2/RkgDQaQQSYLaGhAzHNWx0ooOFBWYxGj0Osx3ZoCEB6LSGhLGGtwcAkLl4DGOWZzPE6xDOZKAWZSMbGmxIqNiGhgSgmcZuu3t6XMPC/tC1zZbVn5cqxzZErQoAdAaBBKgQBwUyH9kQbS8OPkCleJxC3GrQKA0JQDMMZhxIiFsWjGwAANpRqdichoSybZWS12msHdC6hoSNAgkaEoAmGrt5uumge+ft0uDBTMrHNqw0tgGgwwgkwGwnOWQdSIh+qYpHQ0ClkSiQoCEBaHdxi0E2DQk90banww4AAG25eJBlu2LlOoSTGZhFEliJWww0JACdInnuKt5939T/4waEarq2WlIxtkFLAkAnEUiAFo5s0JBArUbG45EN2T0O423FnwOgXUc2xO0LAABtI2pIKGQ4Zq9Q2bZgbAOzSYLB0QkvmQQSopYFIxuAZhm7NRnXEDY5rqFsbEPUkhC3KwDQ/gQSYLZAQsZHSFcUcPBaMLWPbMjugRhva9TCFpDRWVnlIxum2w2yCCRoSAAANu+GhGg0BFQoG6mQPA77ehv/HhnZALTA2M13lY1jmG1cw9T1ohaF4r0rQ3Hd+qbdPwCyJZAAFeJRCnGAIAvxie5FtYvMYrRpDQlRIGFMQwLQuKGxYlnIbiDjhgSBBACgHZXioEBlq0EjNmpI8HcbszwO43EN/b01vaC3KRoSgGYrrh8OxXvur3lcQ9nYhiUDU/8fv0VLAkCnEEiAWRsSmjiyIQo+QKWRpjUkxCMbnGkDNC4ODCTPMAt7uzINJCSBhzEL8QBAu4l/P8ly7aBiW2XBB6hQNlIhg3ENlWMfjGwAmmE8HtcwsCB0bb20ptttPLZhumUBgPYmkAAV4rM8uzNuSCgb2eDFFea7IUEgAchA+biG7kzahSpbFuLPAQDQFqKgQCHLhoTK36WsHVDjyIY4SNDQQ9DIBqANxzVUa1Mo3rcqFNca2wDQCQQSoEIcFMi4IEFDAjWLwwJxiKBRcbhh1MIWkHFDQhbjGiabYeJGF2MbAIDNpSEhfVEm3p6GBGoe2ZBRICHezsiYlg6gCeMaHpj6f8/O283p9oUtF4fCFoum/j92i5YEgE4gkAAV4lEK2Y9siD6P1kVmMRI1JGQ7smF6W0Y2AFmIwwLxqIVGxdsaHBnLbLsAAFkoG6WQZUNC5fYEyZnHhoSJzzFqHwCZGY8CBIVFC0LX8trGNcw0tmHc2AaAjiCQABWKcSChiSMb4s8DszckZPc4jM84jsdCALRbICFuW9CQAAC0nfhv+qzrFaPtlawd0OqGhJ7uEJJ/U59j2D4AMjN2891l4xfmMq4hvt2k4v2rQ3HNYGb3D4Dm6Ak5MjQ8HL5y6pnh3PMvDnfec29YumRxOGj/fcPxxx4dtttm+Zy2tWrN2nDi104P51/8+3Dv/Q+ErZdtFQ594gHhda86MmyxZLoSiPyJmwuyb0goVB0NAZXi9oIsGxLi8Q8jY2o6gHZuSEh+TZ1Y/BRIACBL1g7IRNSQUGhqQ4K/26gxkJBRQ8LktkqTc9mHNCQA2SgODoXiiulxDd1R08FcdCVjG5YuCqVV66bGNvTt/TC7CaCN5aYhYXh4JBz7lveFk7753TC4fig85aD9w/bbbh1+cM754SX/+tZw6x21zxJ6YOXqcPRxbw/fPvOnobu7KxzyhAPCooEF4dTv/SS87HVvD6tWr2nq10L7jGzI+iSHuHEh/jxQKW4vyLIhId6WhgQgC+uicQpxq0Gj4nCDQAIAWbF2QGbikwwyXjwoO1vUyQzMRyAhalvQkABkZfyW6XaEwuKFoWvZFnVvK25JMLYBoP3lJpBw0re+G/5y9fXh0XvvHn5y6hfDJ97/H+G0L58Q/uP1rwr3r1wd3vexL9S8rY994ZRwy+13hqc+6Z/Dj781sa2zvv65cPQLDg833XpHOOGLX2vq18L8ipsLsm5IiDcXNzHAbCMbsmxIiLc16kwbIPOGhOzKtwQSAGgGawdkJv57qqAhgflRGs5+ZENluCH+HACNGLv5robHNUzdPmpXKD6wJhRXT7QlANCechFIGB0dDaefdXb6/rvf8powMLBw6mOvfOnzwm677hIuv+KqcNV1N25yWyvuuz+c88uLQ29vT3j3vx8XeqKZaW973SvDsi23CD8978Jw3wMrm/TVMN+KTQwkxNsrakhgFiNNa0joqvo5AOo12KSRDXHbgoYEALJg7YAsleLmggz/ZktFawclQXJmegwm60rDrWhIMLIBaFxx3fpQvHdlw+MaJnUtTcY2LJ76/1jUvgBA+8lFIOFPV14b1qwdDDvtuH3Yc7eNZwU97eDHp28vvOSyTW7r4t/9KRSLxbDfo/YKWy/bsuxjfX294eADHxfGx4vhot/+McOvgHYSv0bb1UBKc5MjG9QuMi8NCfHIhuLEAgZAZg0J2QUSFgskAJAxawd0ZkOCv9mYwfBoCNHDI9NAQtyQMDRsFwDZjmtYMhC6tlrS8DbjloTxW2of2Q1A6+UikHDdjTelb/d8xMZhhMReG0IK12+43mwmr7PXDNvacw7bIgcjG7I+ySE6y2HcC8HMIAkJjLagISF5qHscAo1I2n4GR5vUkNDbXbWFAQDqZe2ATEVrB4WM2xXLtqchgRmUjVJIHjO9PU0a2aAhAWjc2C3ZjWuY2o6xDQAdI7vfVOfRnXevSN9ut83yqh+fvPyODdfLYluT12vE/evHwgm/+nvD2yFbI2PF5o1siH7R+uNtq8NVd63NdPtkN7Kjq6vxY7xeSValNEOIoFGV4YZPXvCPTP4AaEftsC/Jjv3ZnpLnq/ikvSwDCYv6p7f1wPpRvzO1Icdlvtif+dqX7zy08TPO8qhT1w7C2vVh3fd+1fh2yNbIaPVGgyxE2xu+9K9h+PfXZLt9GlYoTawdrcu6HWMuNtyH9P7092X7t300smH89hW5fg5qi31JJuzLNheFqLofsl0mm+zaYlHatFB8YE36//XnXBpCd3brEmTDsZkf9mUO9+eLD23Z58tFIGFw/VD6dsGC/qofX7hgwcT1Btdntq11NWwr8fxXvqnq5bfcfmdYsHS5mchtrjg2FtasmfiFZjaDg4M1bm/6F6+xYimMOeOTGoysXxfWjHRl1gCSLFFMvn44OBrVjAI0IMk7ja5fF8aGCpn8zCxEzQulitEQALA5rR08ePGSskV82s/6keEQNrF2UOvvQIlCmPi7LTU2PvGPttJusf5iX09N61c1K41P1+omKeQcPwe1276kfvZlZygtWhAGk8xAVj83t9sqdG0IJPiZ2Z4cm/lhX+ZLocWfT/QTZjo4CiE8fFn1xaV67bpsQehx1DEHe22zIPRl2JCQtH48ctuF9gGQuUdvP5DpWVmL+7rDrltl+3MYACBrpaTaPoM52GXb3KF68wZUfbwk/zI623jK1luE0mJrB0D2Srs9OIQsG10esm0o9fdmtz0AmiIXDQkDCyfOPBgaGq768fVDE2cuDAwszGxbi2rYVuIH3/jcjGc/DI+Oh387YKeatkPrbTXQExb1ze0QWbJk9kWI5MNvW7403D9o/l67Ghxcl74dGFg033cl9Pd0hW0WT9ckZuVF+y4JT143EoZy3o7QTvuSxtmf7W1hb1dYvqgv05+ZiZc/bnFYsW4kjIzFg2xoF47LfLE/87cvyc/aQXF0NCx4xgE1bYcWKxRC19LFodDTnenvQOFRS0LxYQ8OpaH8npXe6SbP3B0YGJjvuxIKAwtC18DEc1KWSs95YiiuXJPMAgp51k77ksbYl+2vnuerTf7cXBJC6YiDQ3Hl2olGF9qOYzM/7Mt8GZxDg1sWchFIeNB226Rv715xX9WPT16+w4brZbGtyes1Osv9wVtm/wcD7W2grzv9R3ta0z0RFlmyJN/H5tZzfOGwE20u+3JzYX9unpLGhW0Xa0loV47LfLE/87cvyc/aQTILuXvrLRvfDh2la/FACMk/2tOaiXWd7loCJh2q0FUI3cu2CLm3GezLzYZ9udkqJL8rLV8633eDmTg288O+zOX+bJVclMfvvusu6dtrbvh71Y9fff3E5bttuN5sJq9z9QzbumYO2wIAAADag7UDAAAAaL1cBBL23WePsGTxQLj19rvCtTf8Y6OPn3fhpenbgw983Ca39YQD9g1dXV3hj3+5Otz3wMqyj42MjIYLL7ksdHd3hSf+834ZfgUAAABAM1k7AAAAgNbLRSCht7c3HHnEs9L3P/KZk8Pg+olZjYlvnPHDcP2NN4XHPmbvsPfuu05dftr3zw7Pefnx4TMnf6tsW9ssXxaeeegTwujoWPjIp08OY2PjUx/71Je/Ee5fuToc/rSDw/Kt1CUCAABAp7B2AAAAAK3XE3LiuJe/OPzuD38JV/z12vDsl70+7PeovcKdd68If7n6+rBsyy3CB99xfNn1V65aHW665faw4r4HNtrWO44/Nr1d0qzw3FccH/be/eHhb/+4Jf3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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Amplitude ratios: 1.0 : 0.5 : 0.25\n", + "Power ratios: 1.0 : 0.25 : 0.0625 (squared)\n" + ] + } + ], + "source": [ + "# Visualization: Amplitude vs Power Spectrum\n", + "\n", + "duration = 2.0\n", + "fs = 500\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create signal with components of different amplitudes\n", + "freq_1, amp_1 = 5, 1.0 # Reference amplitude\n", + "freq_2, amp_2 = 12, 0.5 # Half the amplitude\n", + "freq_3, amp_3 = 25, 0.25 # Quarter the amplitude\n", + "\n", + "signal = (generate_sine_wave(t, frequency=freq_1, amplitude=amp_1) +\n", + " generate_sine_wave(t, frequency=freq_2, amplitude=amp_2) +\n", + " generate_sine_wave(t, frequency=freq_3, amplitude=amp_3))\n", + "\n", + "# Compute amplitude spectrum\n", + "frequencies, amplitude = compute_amplitude_spectrum(signal, fs)\n", + "power = amplitude ** 2\n", + "\n", + "# Plot comparison\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "axes[0].plot(frequencies, amplitude, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "axes[0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0].set_ylabel(\"Amplitude (µV)\")\n", + "axes[0].set_title(\"Amplitude Spectrum\")\n", + "axes[0].set_xlim(0, 40)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(frequencies, power, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"Power (µV²)\")\n", + "axes[1].set_title(\"Power Spectrum\")\n", + "axes[1].set_xlim(0, 40)\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Amplitude ratios: 1.0 : 0.5 : 0.25\")\n", + "print(\"Power ratios: 1.0 : 0.25 : 0.0625 (squared)\")" + ] + }, + { + "cell_type": "markdown", + "id": "dc476c03", + "metadata": {}, + "source": [ + "## Section 3: Power Spectral Density (PSD)\n", + "\n", + "**Power Spectral Density** normalizes the power spectrum by frequency resolution:\n", + "\n", + "$$S(f) = \\frac{|X(f)|^2}{f_s \\cdot N}$$\n", + "\n", + "This gives PSD units of **µV²/Hz** — power per unit frequency. PSD values are comparable across recordings with different durations or sampling rates.\n", + "\n", + "The `compute_psd_fft()` function computes the periodogram — a direct FFT-based PSD estimate." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "dda57331", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Peaks at 6 Hz (theta), 10 Hz (alpha), and 22 Hz (beta)\n" + ] + } + ], + "source": [ + "# Visualization: PSD of EEG-like signal\n", + "\n", + "duration = 5.0\n", + "fs = 256\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create EEG-like signal with oscillations\n", + "np.random.seed(42)\n", + "alpha = generate_sine_wave(t, frequency=10, amplitude=2.0)\n", + "beta = generate_sine_wave(t, frequency=22, amplitude=0.8)\n", + "theta = generate_sine_wave(t, frequency=6, amplitude=1.0)\n", + "noise = np.random.randn(len(t)) * 0.5\n", + "\n", + "eeg_signal = alpha + beta + theta + noise\n", + "\n", + "# Compute PSD using periodogram\n", + "frequencies, psd = compute_psd_fft(eeg_signal, fs)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "ax.semilogy(frequencies, psd, color=COLORS[\"signal_1\"], linewidth=1)\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"PSD (µV²/Hz)\")\n", + "ax.set_title(\"Power Spectral Density (Periodogram)\")\n", + "ax.set_xlim(0, 50)\n", + "ax.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Peaks at 6 Hz (theta), 10 Hz (alpha), and 22 Hz (beta)\")" + ] + }, + { + "cell_type": "markdown", + "id": "814c6aa9", + "metadata": {}, + "source": [ + "## Section 4: Welch's Method\n", + "\n", + "The periodogram has high variance — it's a \"noisy\" estimate. **Welch's method** reduces variance by:\n", + "\n", + "1. **Dividing** the signal into overlapping segments\n", + "2. **Windowing** each segment to reduce spectral leakage\n", + "3. **Computing** periodogram of each segment\n", + "4. **Averaging** all periodograms\n", + "\n", + "**Trade-off**: Longer segments → better frequency resolution but fewer averages → more variance." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b9fdb2f7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Welch's method produces a much smoother, more reliable estimate!\n" + ] + } + ], + "source": [ + "# Comparison: Periodogram vs Welch\n", + "\n", + "duration = 5.0\n", + "fs = 256\n", + "t = generate_time_vector(duration=duration, fs=fs)\n", + "\n", + "# Create noisy signal with alpha oscillation\n", + "np.random.seed(42)\n", + "signal = generate_sine_wave(t, frequency=10, amplitude=2.0)\n", + "noise = np.random.randn(len(t)) * 1.0\n", + "signal_noisy = signal + noise\n", + "\n", + "# Compute both estimates\n", + "freq_periodo, psd_periodo = compute_psd_fft(signal_noisy, fs)\n", + "freq_welch, psd_welch = compute_psd_welch(signal_noisy, fs, nperseg=256)\n", + "\n", + "# Plot comparison\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 8), sharex=True)\n", + "\n", + "axes[0].semilogy(freq_periodo, psd_periodo, color=COLORS[\"signal_1\"], linewidth=0.8)\n", + "axes[0].set_ylabel(\"PSD (µV²/Hz)\")\n", + "axes[0].set_title(\"Periodogram (noisy estimate)\")\n", + "axes[0].set_xlim(0, 50)\n", + "axes[0].axvline(10, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].semilogy(freq_welch, psd_welch, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"PSD (µV²/Hz)\")\n", + "axes[1].set_title(\"Welch's method (smooth estimate)\")\n", + "axes[1].set_xlim(0, 50)\n", + "axes[1].axvline(10, color=COLORS[\"signal_4\"], linestyle=\"--\", alpha=0.7)\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Welch's method produces a much smoother, more reliable estimate!\")" + ] + }, + { + "cell_type": "markdown", + "id": "8df0f94a", + "metadata": {}, + "source": [ + "## Section 5: EEG Frequency Bands\n", + "\n", + "Neural oscillations are organized into **frequency bands**:\n", + "\n", + "| Band | Range | Associated States |\n", + "|------|-------|-------------------|\n", + "| **Delta** (δ) | 1–4 Hz | Deep sleep, pathology |\n", + "| **Theta** (θ) | 4–8 Hz | Drowsiness, memory |\n", + "| **Alpha** (α) | 8–13 Hz | Relaxed wakefulness |\n", + "| **Beta** (β) | 13–30 Hz | Active thinking |\n", + "| **Gamma** (γ) | 30–100 Hz | Cognitive processing |" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ad78c1af", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EEG Frequency Bands:\n", + " Delta : 1.0 – 4.0 Hz\n", + " Theta : 4.0 – 8.0 Hz\n", + " Alpha : 8.0 – 13.0 Hz\n", + " Beta : 13.0 – 30.0 Hz\n", + " Gamma : 30.0 – 100.0 Hz\n" + ] + } + ], + "source": [ + "# Define EEG frequency bands\n", + "EEG_BANDS: dict[str, tuple[float, float]] = {\n", + " \"delta\": (1.0, 4.0),\n", + " \"theta\": (4.0, 8.0),\n", + " \"alpha\": (8.0, 13.0),\n", + " \"beta\": (13.0, 30.0),\n", + " \"gamma\": (30.0, 100.0),\n", + "}\n", + "\n", + "# Colors from style guide\n", + "BAND_COLORS = {band: COLORS[band] for band in EEG_BANDS}\n", + "\n", + "print(\"EEG Frequency Bands:\")\n", + "for band, (f_low, f_high) in EEG_BANDS.items():\n", + " print(f\" {band.capitalize():6s}: {f_low:4.1f} – {f_high:5.1f} Hz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "ae484c4b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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A60bIh3XRw7OkKrqGcxwJtM2gkm+Rm0oP05q1/2jXaWe7Tld7n2wWsFr7+FTk/YkaVfElhXxU8gEAAAAAAKwfIR9q367TAPp2EPItdkOZUckXqwClXefi9CCtqTP5tPtP4MQrDQFYo12r5JvUWmzWNOTTrgsAAAAAAACrR8iHdSHks5xeidmsdp16KKu3EcVC9qnP5NOr6Zr9CMKuA1JTyTfZ2Vazn63P5GudLknO00qTAQAAAAAAsCqEfKhtu86cqZV8TdsUcwVBfHxh09p1aociQr5k/gqq6RoosVUoa/aAnYIg1kKzppV87S2xj7VNzNTs5wMAAAAAAGRRvtkbgJUbHZuQsfGJ8O1ypWLETUcln8WSgjQ9bGuQWDiszwrEmdslfkM0dSZf0nWz6wArtU6VxNUeFyZqWMnn512Zbi2GFXxzVKg40d1es+sAAAAAAADIGkI+i9x59z3yoU/cNf9+b3eXNJuxIZ8WGtH+cWUhnyntOpnJt5pKPmmehOtWM/nMOAoAWE+rznLBlXKxtk8T1Vw+PeQDAAAAAADA2hHyWeSO22+V2265OXz73e/7gJjA2JAv1q6Tfp06R6UxxrTrJJRdiSCpFaZpM/nCmYH8vQG26RjXWnV2tNb8MUG1/9w4ODr/frt2nQAAAAAAAFgdQj6LdHd1hBelkM+Lb0BLQ3tm8hE6rKxdZ3P2X8BMPisr+cI/MzUTMAz2zmj+YQlADSr5JmvYqnPOlAoOq7RRyQcAAAAAALAuzWz0hhTQw7Pqtf5mCrTtIORLoAe0ThMr+ZJCWYLZOP0PzAmatssWfRQh5AOspFfVTXRGA7lamOxoiV4nIR8AAAAAAMC6EPJhXWjXaa9Y8Ok08XCQVEFIyBfnG9Sqc05uBS1FARivowGVfGEL0CrFUkXypUrNrwcAAAAAACAr6taus1Lx5PTIiAwNj0qpVJLe7i7Z0NsjnR3t9bpKNAHtOlPUrrOJrVYT27yq7eM0hKUDNANuH5UNR+5JVPIB1lFBmwrc9Pl5tTbd3hIWJKsuv9UtO8eKnTW/LgAAAAAAgCyoacj30GNPybcefFQefuxpeWbfS+J58dXevk0b5JrLL5Zrr7xE3vj6G6S3p7uWm4AGy2nVVvosPFNCIz2MhApjfHPmKSbdb6jki/PNKb6cR7tOwHrtE9EqPt9xZKo92lqzVvNXVdDXPjFTdd3TMraBkA8AAAAAAKApId/4xKR8+p+/Inf/81fk4OFj4ceCJRbnB04NyRe/dp986d++JX/wv/5Svvd1r5K33fYmufryi9e7KWgCe9p1Nm1TLGrX2cR9lxAwqmCW3bbMTD4j2nWqveRo28ieA2zSVhW6KSrgU4FcPaiWnXrIBwAAAAAAgAaHfKod56c++wX5yF/dLSNj42Gw19HeJpdeuFcuu3ivXLT3HOnt6ZKeri5pbSnKyNiYjIyOy5FjJ+WJZ/fJk8/sk/2Hjsq/fPWbYeh34/VXya+956fl3D271rpJMKFdp7EhH6GDye06VcCoRUXx7YNIrF2nAbeRFjQGtOsErJMvRw8upZZC3a5rdi7fyPz7hHwAAAAAAABNCPne8tO/JIeOnhDXzclNr75OfuiNr5ebXn2tFAqLLQxtm3/rbW+5Jfz/wOGj8s9fvle+8K/flPse+K7c/9Bj8sH3v1dufdNNa90sNLuSr5lBURVCvhUwKaBV160u1fcn0qKY2E1i4kw+PYgEYLy8F/3D9fL1KxOeCkO+Be3jVPIBAAAAAAA0POQ7emJAbv+h75ef+8nbZevmvjX9jLN2bpdf/L9+Iryoar4P/9Xfy+FjJ9a6SWgCe9p1GlDxZJjYbdLsgFZdv7ewTbTrXMFMPiPadWrvU8kHWMfVKvkq+fqdQTDZGQ352lS7TvV4ZMjzBwAAAAAAgEyEfF/42w+tOdxLcsvNr5E3veFGOXlqqGY/E/VnTchH68c4X0tj6jR/aaVUFahTvc7MPoszsJKPkA+wX77SuEq+2XadVdft+VKcKUuptVi36wQAAAAAAEirNS8R1zLgm+M4jmzp31Tzn4sGzuRrdjXYGYF2z6aSL+lGMiygVX0fq1F9GRN4joEhn3Y/8s04BgBYe8hXqWPIN9NaFE97rtA6OVO36wMAAAAAAEgzE5aIYTFrKvkIjGJi1Y3NDmi166f6ciWVfM1vQ6tns7TrBOzj6pV8hTr2AnYcKRfzS4aMAAAAAAAAqHO7ziQf+sRd4f83XHuFXHnphct+/Sfv+pxMTk3Le37mbbXcjNQaHZuQsfGJ8O1ypSImIOSzmGEhX6wKVG8nCjNn8unbwG4D7K/kc+t7cPHCn1+ef9+tcOAAAAAAAAAwIuRTLTc/9jf/KL/1vvfIrW+6acmv/8SnPidDwyOEfCt05933zAepSm93lzSbo63LmVvJ17RNMZdpVZh6yEf1ZZxnYC22vg0U5ADWaWglXzjzL3rgcD0OHAAAAAAAAGtRlyXiUrks/+X3/pf8r4/9bT1+fGbdcfut8sVPfTi87N65Tbq7O82r5Gt2y8czaNe5lkq+JidGejCrbx8kiLXrNOBG0UcpUpADWKeRM/kWKvkWUMkHAAAAAACwNjVfIt7Y2yP/7p0/KkEQyEfv/LS87wN/KKXSQksmrF13V4fs2LY5vBTyeXGbHcqY3K6T+W7LcvR2mE1v16ndnwn54nxtHzX/ECCOPhdQ30YAxtNDNq/eIZ/28/NU8gEAAAAAAKxJzZeIVcbzyz93h/zX//yL4ro5+cq998vP/sp/kcHTw7W+KjRbEEhOC/l8Y9t1UhUWv5EMC2hjM/nYZzFaRzvHDcx7FKGSD7BOwyv59Had2vUDAAAAAABgZepWB/Ijb/5e+Ys/+E3p7GiXp557Ud75798vL7x8oF5Xh2ZIyBdo12lzu84mh3yxYJa0KMaCdp2EfIBdVGtk14seXGjXCQAAAAAAYIe6LhFff/Vl8tf/+3dl+9Z+OXpiQH7qvf+PfOM7j9TzKtFASdVxTa8GO4NKvuU5poV8VPLZOZNPK/ghmwXs4ia0yqx3u86KXslHu04AAAAAAIA1qfsS8Tln7ZS//dAfyBWXXCATk1PyK//P78rf3P3P9b5aNIDeqtOskC/6Pu06V9Kus7mJUawKlHadK2jXKU0Xu9vQdQ+wSlKrTD2EqzU9RNRnAgIAAAAAAGBlGrKqv6G3W/7yjz8ot9z8GvF8X/7gf39cfvuPPiy+z2pw6ir5ml0NdgaVfCtgWiUfcxSX52v7KGfCTL5g6W0EYLR8ufGVfJ6rh3w8HwQAAAAAAFiLhpXuFAoF+YPf/I/y7p+8XYIgkH+458tyemSsUVePRrR7NKmSTwusHLWpCaFklsVm3jV73+W0w5FPZYcV7TqZyQdYTQ/YKm6u7o8HnlYpmNdmAgIAAAAAAGBlGr5E/N53vUN+59d/WfJ1Pkscja/kC0wIipYIG8OgD8ZW8tGucwX0dXDXvEcRZvIBdslrIV+9q/iSroNKPgAAAAAAgLXJSw198VN/ITm9GifBrW+6SXbt2Cr3P/x4La8ezQ75DAn4Fg/5AgnEnG00LeRreqtV2nWufiafAZV8sbmAFOQAVtHn4VUaEPKF1YKRbaBdJwAAAAAAQNNDvu1bN6/4a6+89MLwgvS062x6SLSCkA9zN1BC3NnskFa//yS0g8082nUCSGMlH+06AQAAAAAA1sSAOhDYyrZKPmbyLROgraAKt56C2Ew+Qr7I7RPOldTu125g4Ew+hz81wOKQr1JoRMhHJR8AAAAAAEAtEPIhnSFfQlVhjtBoQcJt0fRKTNp1Ls0z9AieSwgaadkJWENvldmIdp2eG72OvKrko9oeAAAAAACgse06b3n7v5darOv/y9/9xbp/DgwI+ZodEi2HBcR5TpCQwhjXrpOkKHp7xG8yI2by5RbZ1vrnBADq0q6z/geWpJagqmVnI1qFAgAAAAAApMm6Qr6jx0+uewOcZgcLqN1MPpP2peOI7ziSqwr2mMm3XLvO5u6/WEhM5aV2eyTcaCashy8W8gGwQlMq+RKCRLUdhHwAAAAAAAANDPl++E1vWPRzX/q3+6RUrsitb7xpPVcBg5ncrlPmxpdVbSIhX5VYQGtAJZ/erlP9o+5jzd4uQwSmtutMyANUoSh7DbC1kq/x7TrnKvkAAAAAAADQwJDvt3/9lxb93LcefFSGhkeW/BqszujYhIyNT4RvlyuVpt98emimKudMMhs6UsmXJBZ4mrDvcrnkMNI1YNtM4Ou3gwpApfmStoG1esAazajk83Pxant9OwAAAAAAAFDnkA+Ndefd98iHPnHX/Pu93V1mtes0bCafXlnoJHSozCy9FWZSwNZgifefMORrxtYYSA/OcmZks+FMPvXHFZaDnuFpZbQAjNWMSj518FItO3Plhet2K5wdAAAAAAAAsFqEfBa54/Zb5bZbbg7ffvf7PtDszTG/XacWGumhZKb5vnkBbcI2OIEvASlfcrtOk8JPFfRVbx9r9YA13KqgrVGVfHMtOwvVIZ9HJR8AAAAAAMBqEfJZpLurI7wohXxefC2oaTTTQ77YjDe9RWWGGdmuM2kbCGarbgvttml+8eWiIZ+ayQfADnltFl5DKvnC68ktWVEIAAAAAACA5Zm0TAzLVM/SMTHk02cEEvIt1a7TgH3nOJGOjyFCvqrbQru5TDp669tCyAdYo5mVfJHtoF0nAAAAAADAqlHJh9TO5KOSbwmmBrRqNmBVVYkKZqm/PMPX9pFrzi3juNoEPkI+wA5B0JyZfAmVfLTrBAAAa5UfL8uGp4fE8QIZvmSDlHpauDEBAEBmmFQLAsuY3q5T3x4q+apuCxMr+RT9PtTklrRGz+Qz6eidC5YOJAEYKecHsar8RlXy6ddDJR8AAFiTIJDN3x2QrhNT0nlqWrY+cJKOMAAAIFNMWiaG9SGfGIWQbwl6eKYq6AwQqwalXWfVbaHdWGbsssRtiQWSAIzkJszBqxSa1a6TAwcAAFg9d8aX1uHS/Pv5aU+KowvvAwAApN262nV+6BN3Lfq5yampZb9mznt+5m3r2Qw0ientOoPcMtVrWWZqFaZ2H2KfLTGTrzHr8CvDTD7ASnqrzqQ2mvVCu04AAFALhbF4oFeYKEupl5adAAAgG9Yd8jnLhAN/8cm/X/bnEPLZiXad9rKmXacWRmaawe06nRwz+QAb6dVzqtOu36DKbn32X75Ce2YAALB6xfFy7GOF8Qo3JQAAyIx1hXxKwCJ8ZhHyWczQkC/QF5epvly4bfQ5d/ocvGaikg9IRSVfGLw1qLLbc6MHDtejXScAAFi9wlhCyDcR/xgAAEBarSvke+Lr/1i7LYH97TpNafm46Ey+pm2Keaxp10llx6LtOg2q5BM3WDqQBGBFJV9Fq66rJ/26XCr5AADAGhST2nUmVPcBAACklUnLxLC9ks+QarDFQz5SvsUr+Qw5FNCuc3F63slMPgD1qORrEP269MARAABgJYqJlXwVRj8AAIDMWNfK/mc+/69yeni0dlsDqxjfrjNWFUbIt3BbaImRIQFtLChmn1kzky+CtXrACnr1XCMr+eLtOqncBgAAq5Ob8cQtxZ9DuGVfcgkfBwAASKN1tev8rf/+5+L+j7+Qyy8+X25+7ffITTdeJ2ft3F67rYPRjA/5qORb4sYxdN8RzC4q8M0N+ZjJB9gpXzankk+vKgQAAFhOcYm2nGou30yLSe1PAAAADAz5VKj3nUeekEefek4ee/p5+aO/+Cs5e/cOufk118tNN14fhn/I0Ew+Q6rB5hDyraZdp2NmSRgtVhdoc+6cnEGVqfpu46RZwAqu17yZfF5eq+Qj5AMAAKtUGC0t/rnxisxs5CYFAADpt66Q709/59dlZqYk9z/8uHztvgfk3vsflpcPHJZXDh6Rj/3tZ2TThp4wCHzDjdfLq665XAqFQu22HMZV8vmmVIOdQci3OMfQkC/erpO0aJ5e5GLSSam5pQNJAGZqaiWfq83ko10nAACocSUfAABAFqwr5FNaWophkKcuQRDIY089FwZ+X//WQ3Lg8DG5+56vyKf/+V+lrbVFbrz+qvDrXn/DddLd1VGb3wBNY367zqW3N9Ni+86Q3o+067SyXafjan9bZLOAFfQWmRWtuq6hlXwq5FOPTYY9lwAAAOYqjhHyAQAArDvkq+Y4jlx12UXh5dfe8zNhVd/XvvmA/Nu3HpSnnntRvnLv/fKv3/iO5HI5ueaKi+UNr75O3vCa62X71s3sCdsEgejdAmnXaRFDK/lii7sEswsMDvmYyQfYSW+R2chKvqTWoG7FF69gUpkyAAAwWWGpkG+JKj8AAIA0qWnIpzvnrJ3h5d/d8WNyavC0fP3bD8lXv/mAPPToU/Lgd58M//+D//1x2XvObvne175Kbn3TTbJz25Z6bhJqxEkoijOuko+qsEU5elmYY2q7TqovF2vX6Zi0Dq7P5NNbiwKwo5Kv0Lx2nXMzAgn5AADASuRKnuRnFn/hUZio0CUAAABkQl1Dvmp9mzbI7be+MbxMTk3Ltx58NKzy++YDj8i+lw7ICy8fDL/uPT/ztkZtEtYhqfWlcSGftj1JwWRmmVrJl8stPTswy/Q5d3oprVEz+Zq0HQDWV8mXELw1ql1n0vYAAACspYpPyXmBuNOeeG0NW/YCAABoiqY822lva5Xvf/0N4cXzPHnk8WfClp6b+zY2Y3OQmZDPoFCk2bTwLDC2XSdp0aI3hUHtOmMjHdltgBWaWckX5HLiO47kqh6bw7l8AAAAa5jHV+rIS37Kk1zVa93CRJmQDwAApF7TT2lyXVeuv/qy8AJ7JFVYGRMUnUHIt9gNE0hsTxkS0NKucwm+ye06g6WrDgEYSc3AW25OXr2r+XJlb9HQEQAAYDHF8VLk/ZmOQrgG0FI1i68wXpHpPm5DAACQbuuuBTkxMCh33n2P/PNX7pWKtjhTKpXlQ5+4a71XAQNRyWexpBaYWpvMpmGO4uL0tW9DdllIywUowATsoIdqXsNDPnfJ0BEAAGCl7TrLHXkpt0fPY1eVfAAAAGm3rkq+g4ePyTve859lbHwyfP/jf/dZ+Z8f/M+ye+e28P2ZUkn+4pN/z5y9DIR8gUHVYItVhdGu8wyTqzBj7TppsTp/M9CuE0AtBUFsBl6jK/kq2gxA16OSDwAArK1d50xn4czCxAJCPgAAkAXrqgVRAZ7jOPLLP/dOeesPv1Fe3n9IfvIX/295dt/LtdtC2BHymRISLdWuM6mCLYOcpDIrQwJaNaMpgn125oZR/2j7yDXo/sxMPsA6av6dfuRvfCVf9OChh44AAABJnLIv+eno84ZyRyFeyTde4QYEAACpt66Q7+HHn5YPvO8X5F3v+FH5L//h5+Uv/vA3pVzx5Off91/DwA/ppQdmeqBmgkDbpPBdKsMWaddpyP5Lqr5kn8VbdarbxqR2nfq2eOw2wHRJgVrjZ/LRrhMAAKxecawUe+1fal+kXSevJwEAQMqta5l46PSIXHHJBfPvf8/Vl8vH/+S/hW//wvt/W04NDa9/CzFvdGxCjhw7GV7KlYp4vm9OJZ+RIV98m2jZGQ/5wjDUlP2XtB28KIu36lSMCvn04NiJtcoBYPY8vqTKunrz3Oj15WnXCQAAVqA4rs/jK4QnjKqgr5oTiOQnqeYDAADptq7VnJ6erliQd8F5Z8v/+aMPyPjkpPzH3/yD9W4fqtx59z1yy9t/PryoeYijo+NNu30I+ewVCzpNCfgWa/tKy05J6rAqjS24WVJiVWHzzkEAsAJuORryeTkn3jK5zqjkAwAAa1EY1UK+rkL4v1/IiVeIPp8pTBDyAQCAdFvXas7es3fLA999IvZxFfT92e/+hhw5dmI9Px6aO26/Vb74qQ+Hl907t0l3d6c57TpNafe4bCVfUzbFLHpo1uBF3SUlbAuzFC2o5EsKHAn5AKsq+Ro9jy+pPSgz+QAAwFoq+UpnQj51Amu5Q5/LF/1aAACAtFnXMvGtb7xJhoZHEj935aUXyv/4r/9Jrrn84vVcBap0d3XIjm2bw0shnxe3ieGMXg3mG1QNtlTwSGCkdpZvbkBLu85knj5gMjCpADP5kYSQDzCaHqg1eh5fUrtOl3adAABgBQraTL5SZyHaulOfywcAAJBi0VOcVukHv/918oPyukU//9pXXRNekD6067SXye0650a5RbaoibMnjeEbXMW3yPaoFqMG3bMAGFjJR7tOAACwWk7Fl8JU9HlMuau48HZV4KdQyQcAANJuXUvFv/wbvyv3fvsh8VmEz5xYyGdSNViVYLmAK4ti7ToN2ncqcNS2h+rLhJl8Bs3jC4W7TLtf+QbdrwAsG/JRyQcAAGxQHItW5qlXIeXOhfPXY+06mckHAABSbl2VfF//1kNy77cflk0beuSHb3mDvOUHbpY9u3bUbutgrNhMPpOqweY4Trhd1cEeIZ/aWYbvu3B7qraRYFbEM7uSL9xlapv8JbYZgFHcSvTsgUqh+ZV8eW2bAAAAdAUt5FOhXhC2APcTK/nyk5XZE11NOrkVAACghta1VLxr+1YJgkBODQ3Lx//us3LbT/2y/PR7/x/53Be/JlPTM7XbShgnZ3pQtMh2EfIlVMYZ9mIn0GdN6tubRdq6t2NYyBfSt4m1esBoZrTr1GbyadsEAACgK45H5/GVu6Khnj6TT73aZS4fAABIs3VV8n3+b/9cHn78afnMF74q/3rv/WGw9+hTz8ljTz8vv/enH5M3veFG+ZE3f69ccckFtdtiGMGGmXwKIV8Cvb2uHqo1mx46EvLFW1/mDAw+VT5QWaLFKACjuEa064xep+tx4AAAAKur5CtVzeNTgkJOKsWc5Et+pGVn9dw+AACANFlXyKdce8Ul4eU3fuXn5F++dl9YxffYU8/LxORUGP6py9m7d4Rh361vukk29vbUZsthVrtOw6rB5gQqv6pax2S+my3tOqveJS2SwDN8Jt+Z6sLIPYu1esBoJlTy6cEilXwAAGC1M/n09pxzH8sPLXSXKoxHvwcAACBN1h3yzWlvb5Mf+6HvDy/7Dx2Rf/z8V+XzX7lXBgZPy8sHDssf/cVfyZ/8nzvlpldfF87ue+2rrhHHtHABK0Yln73Mb9dJJZ+d7TrV/crRqg8NrDgEYE4lH+06AQDAKjgVf3bGXpWS1q5TqaiWndUh3wQhHwAASK+ahXzV9uzaIf/x3/+U/Oq775D7Hviu/OPn/1W+8Z1HpFLx5KvffCC89G3aILfd8gb5kR+4WXbt2FaPzUAd2RrykTkktL80LOSjXWcCvSrOyJBPe5/RWoBllXy55rfr9IPwRBRTuwMAAIDmUhV51c8SgkUq+Uqd0aUu1a4TAAAgreoS8s3J5XLyuhuuDS+nh0flni9/XT77L1+TF185KAOnhuRjf/OP8pd/+4/y2Nc+Xc/NQCPadVoS8uW0cDKTTA9otTI1PVDOosBzjG/XqYd8dFkFzGZiJZ+S8zzxcnV9egoAAFLSqrPSnpcg4flEWMlXhXadAAAgzRp22vaG3m75qR//Ybn7Y38k7/mZt0ku50gQBHreAFsr+XK2VPJxh4tX8uUMb9fJcLd4JZ959+NYC1F2G2C0fLn5M/mSrjNf4eABAACS6WFdUqvO8ONadV9+2gtbfQIAAKRRw06VPnj4mHzmC1+Vf/ry1+XU4On5j7cUk5+UwWzWtOvUAiOqwsyfyUe7Tltn8mnv8xoaMJrr+c2v5HPjBzPXo9cvAABIVhwrRd4vLxLyVTriS12qZWepp8hNCwAAUqeuId/U9Ix88Wv3yWe/8FV57Onnw4+p6j3lwvPOlh/5we+VH/y+19dzE5D1kE/brljAlUVaH0Xj9h3BbJwemJnYrlPfJkI+wGgmVPIFuZx4OSecxbdYG1EAAIDF2nWWOpNDu8DNSaXNlfzUwvOKwkSZkA8AAKRSXUK+7z7xTFi195V77w+Dvrlgr6uzQ978fa+VH33z98lF559Tj6tGs2bymVhZpOghH+06E9p1mhXyxUJHglkJ9DVvE//etBaigW/W/QrAAsf3xfWbX8k3Fy66pcr8+y6ttAAAQALH8yU/sfCcYalKPqXUUYiGfFqrTwAAgLSoWcg3MDgkn/uXf5PPffFrcvDI8fBjKtxzHEeuv+pS+ZE3f598/+tvkCLtOVPBlko+PWcg5LOhXaeWYBHyxe/IBoZ8sRaiFOMAxkoK0poW8mktO2nXCQAAkhTGK6K/cl1sJp9S6SiInJpe+P4JQj4AAJBO6wr5ypWK/Nt9D8pn/+Vrcv9Dj4kfBPNVe1v6N8ltt7xB3vLm75Wd27bUanthCFtCPir5EsT2Xc7sdp2EfPGZfK6BbWeZyQdYI5/QEtMrNK+Sr1qeSj4AAJCgoM/ja3MlyC/+WrbcmY+FhAAAAGm0rpDve3/0XTIyNh6+rcK9fN6Vm159nfzoD36f3Hj9VWEVH9JJD158vfrK1Jl8tOu0r12nNkMwk6xo1xl9l90GmCtp7p1eUde0Sj5m8gEAgARFrd1muSt5Ht/851UlXxUq+QAAQFqtK+QbHh0L/z93z86wHeetb7xJNvR212rbYFUlnxgpoCosxtHTF9PCeD10pJIvHphZEPLp1YcAzK3kq6iz4Jv0WKBX8tGuEwAAJCmOlVfcqlMpd0Y/75Z8yZU88YvN6V4AAABgZMinKvbU5fKLz6/dFsEKOUvadcYr+Zq2KeYwvJKPdp0J9FzWwJAv1kJUnyMIwBh6tVyz5vElXXfSvEAAAIBYu87lQr72fHgycvUaQGGiIjOEfAAAIGXWFfJ94D/9wpq/d3hkVD7/lW/IhXvPkWuuuHg9m4EmsGUmH+06lw/59GrHZovNCKTFqoin7SNm8gGoYSWfXk3XSLTrBAAAyz9hCMKArlpJq9SLyTlSac9Hvk+17JzZ0MINDgAAUqVp9SAdHe3yxx/5a/nt//kXzdoErFUQxCriTAuK5hDy6TdIILE9ZXy7Tqo6Yq0vbZjJFx/5BcAQJlXyxdt1cswHAABRKpzT1yBKy8zkS5zLp831AwAAkKxX8une9av/74q+ThXmHDl+QmZKZTl6fKCWm4AmVPEpVPJZImm+Xc6wxIg5ijHM5AOQ2ko+7br1bQMAANDn8VVaXQkKy7+OLXfmRU4uvK9XAwIAAKRBTUO+hx57ekVf5ziOBGeCojfe9OpabgIagJAvXSGfaVWYscCYdp0i2pq3Y+Cs+NicQIpxAGPpc++aWsnnRg8ezOQDAAC6ojaPr7TMPL45VPIBAIAsqGnI956feduSn58pleTg4WNy3wPfDav43vGjb5b3/9K7arkJaADHgqBoTpBbftuzxImVhNnQrjOYDfpM285GsqJdp/a35Wd4fwGGM7mSz/Wo5AMAALJkm83yClp1JrbrnCjz2hIAAKROQ0O+OSdPDckvvP+/yd995gvyhhuvl+uvvqyWm4E6o5Ivbe06DQtjtPah4dapzTZsMxslLGQMnKUDNRNoGUFSngzADPmyOTP5Knm9ko+QDwAALN2uc8WVfJ3Rr8tVAnFnfPFaDWyNAgAAsEZNqQfZ3LdRfvPX3iO+H8iH/+rvm7EJWAd94LXCTD47Q74wOzKsQi7xvpTlxCjpVzfxNSntOgFruCZV8rl6JV+Gj/cAACDOD2KVfCUtvFtMpc0VX3udElbzAQAApEjTmr5dfvH50tbaIs/se7lZm4AaVfKF7xkWFC0WGCVVIWZJ7Pc3cb8lVRZmuc2qt4L5dwaIbRPFOIA1IV9TZ/JRyQcAAJagQjn9ROPyCiv51OvdSlLLTgAAgBRp6lJxhpftrabPtTN1Hl9yyCfZpodlWmtMIyTcnzI9SzGpqMXA3UYlH2DvTL5KwaBKvgqVfAAAYPFWnZUWV/ziyp+7xObyaVWBAAAAtmvaUvH+Q0dkenpGLtx7drM2AbWq5DOxGmyRADLrlXzi++YHtIntOrO73wJr2nVq+yhwsrzbAKtCPs9t3pkDeqvQvEcZMAAAWFDQQr4VV/HNfX1nPvJ+YaLCzQsAAFKlKas6U9Mz8rt/8lFxXVfe89Nva8YmICshn17Jl+WKMFvadTpO/D6V5f3m6/soEHEseTShIAewo11nwZx2nTk/EEc7IQUAAGRXUZ/Ht9qQj0o+AACQctFTmtbpQ5+4a8nP+74vx06ckvsffkxODQ3L9VddJo888Ux40b3nZwj/TKUHZb6J1WBnMJNvuXadhu47tV3ewraqBd/Mxnx6UUvO0Gw2KSPwDa06BDIuVsnXxJl8Fa1d51zLzkrRxL7EAACg0QpjpfWFfJ3Rr8+rSj518quJL6oAAABMCPmcFTxRCs5UEz346JPhJQkhn7msruQLP5jhJ/S27Lsw5Kt6P8t9H/WCFlPXvankA+wQBLG5d5W8OZV8iut5UqntU1QAAGAjP4jN0Ct3FVf1I8od+VjXAHfKE6+d5xoAACAdavqs5porLhbHyD5yyG7Il7z9Jm9zPTmWVPKp/RPZsgy364zN5HPtCfkCz8zOokCWqYWtnPY43sxKvqTr1kNIAACQTYXJiuS0pwUlrTJvOV6LK77rSK6qU0xhokzIBwAAUqOmId/H/+S3a/njUuG5F16R3/2T/yNPP/+S9G3slZ96223yjh99s9jMrpDPSQ75JKP0OUc5Q8vCtO3K9CxFrV2nY+guo5IPsHMeX7Mr+VRlvZfLiVv1+JS0jQAAIHv0Vp1eMSd+yyqftzhO2LKzZWThZ6nqwOn+tlptJgAAQFOZulycCkPDI/LuX/uAdHS0y5/93m/I295yi/zBn31M7vnS18X2KoBqgaHVYIttW6YDI1sCWn2/ZXmf+dptkTPztgjvSk6w9LYDMG4eX7Mr+WavP/p0NO9RyQcAAESKY+V1zeNbrGVnUc3lAwAASAmakNfR33/uS+HC9//4r/9J2lpb5FXXXC5Hjp2UD//V38utb7pJbJWGSr6ssqldZ/QD2V3wtaZdp6LW6avzg+zuNsBYepWc7zjiN/mxIAwZSwuLbVTyAQAApRAL+VY3j2+OquSrlp+I/lwAAACbUclXR99+6FF5zauuCQO+OW+86dVy4PAxOXT0uNjK/pBPssuSkE/frkxXX3oWHbW1ADLD2SxgrHzZi1fRNflxvOJGD2yEfAAAQCmOR8O48por+aLfp9p1AgAASNYr+X70Z39VfuFn3ybf97obarIhJ08Nyf+5827ZurlP3vWOH5V6UzPy7n/4MXnq2RfkyedelJMDg+HHn7z3M0t+3/TMjHz0zk/LF792nxw7eUp6ujrlxuuvkve+6x2ypX9T5GsPHDoqr7vh2sjHzj5rR/j//oNHZNf2rZKKkM/UoEhxnHD+XvUWZrmSj3adFvItmcmn6NtGyAcYx/U8c+bxLdIu1KVdJwAACIKESr5CTSr5CpOV2RNgTV7LAAAAqHfI98qBw/Jrv/WHsvec3fLjP/wmedMbbpSe7q5V/5yHH386nFH3+a98Q8qVivzSu94hjaBaZv7bfQ+u6ntmZkryrl/9TXnimX3Sv2mDvOHG6+Xo8ZPy2X/5mnzj/oflzg/9fiS4Gx2bkO7OjsjP6O7snP+crfSqKpMr+ea2rzrYy3TIF6vky1nSrjPL+0x738xdNh9ARvZUfPQXAMMq+cwI+ajkAwAAUfnJiuS016/lzmJNZvKp7j7q51e08A8AACBTId+nP/7H8kcf+qR84zuPyO/88f+R3/+zv5QbrrlCrr78Yrnsor1y/nl7wiq3auVyWQ4dPRFWzz3x7D755ncekeMnByUIAtnQ2y3v+em3yVt/+I3SCFdccoGcf85ZcumFe+XSC8+TN73956VUWrplw4f/+h/CgE9970f+8Lekvb0t/Pgn7/qc/OGff0J+8/f/TD7+J78taWdTu875SkOPkM+mmXx6+Jjldp2Bp+0j1+DbIqfVzfrqbYO3F8igvDaTT6+iawbPdZfcRgAAkD1FrYrPK+TEa1nbGY9+0RWvmBO3tHAGZWGiTMgHAACyHfKdc9ZO+bPf+w158LtPyl/+3Wfk/ocfDwO/bz7w3fmvyeVy0t3ZLoVCQUbHJ8JKuGoq3Ovv2yhvvfWN8pNvvVU6zoRmjbDalqAqoPzUZ74Qvv0bv/ru+YBP+em33Sb/9KWvy8OPPR22Ab3kgnPDj3d3dcjYxGTk54yNT8x/zlbWhXza9mU5MNKHpBm77/Tw0c9w30eLKvn0bWMmH2Aefd6dGZV8tOsEAABRia061/H6Vc3lc0szCz9/vCxTW7jVAQBAhkO+OddffVl4OXLspHz6n78s33roMdn34n7xfF88z5PTI2Ox79m0oVeuvfIS+YHvfY28/oZrxdXO4DbRo08+J2Pjk7Jrx1a56PxzYp///tffIPte2i/3fvuh+ZDvrF3b5ZUDRyJf98rB2ff37J6dzZeKdp2mVoOdEWibR7vOKobuO9p1VmEmH4AayleiBxWv0PznYJ5Lu04AABBVHIueJF5e4zy++e/vyEvr6aqQb6LCTQ4AAFJh3SHfnB3bNssv/9wd4WVickqefu5FOTk4JKeHR2WmVJLe7i7Z0Nsj5+7ZKXt22RdwPf/S/vD/i/bGAz7l4jPBnwr65rz6uqvk7z7zBZmemZHWlpbwY1++99ty1s5tkdl9S3nLT/9y4scPHjkm27f0y9hYPEStJd/3xQ88KbbmxVcDtoJAHK08x5cg/BpT6YFR4HtN2d5APCl0tYqTc2Q68CTXhOq0gnadZQmk5Jv34qbVCaSg3Q+nm7CdQeBJpbhBcrmK+DMtIk7NDpkr5paiBXKlwJXp6dosyk+VajuDQm1V9bbOzORlalpSzQt8afG6pa/iSsvUtLhqMCFgsOL0wuKWEkggxcmpNf+8wkz0562F6uwQ/ZnldW0TALu4gS+9FUc6nLwEk574YftvAFlXGI2GfDMtrviTi78m9KeXfo1fKrqxn7/UzwOQPcsdRwBgOX4QSL7U+JOp67Jirdpuquq+NDl2YiD8f0v/psTPz3386JmvU378tjfJ33768/K+3/pDueOtt8pzL7wsd//Tl+WD73+v2My+Sj6tXae2mJglsVarhu47fbsy3WLV4nadsW0HYFy7Tn0eXjN4ea2Sz+PFNQAAmRYEUtQq7Uod66/kq1Yg4AMAACnR+LIUS02eKUdpbZ2tyNO1tbbOfl3Vmecbe3vkI//jA/L//clH5Bf/798O25S+7xd/Vm59000rvt7PfvJPF63wU9VNXV1dUk/qOnKOK6XpiuTElZyTE0fLW4Kc+njzFwlXGvK54jRle9XNVh6blsB1pNVxw5mVjeZooUvBzYubM+8woG+TOqG7tQnbqTLRcum0tLcdl/aWGXFyjU+tSo6qol24r7QUK5Jvre12dLVGz5Jdq1LBFT+s55tVzHlSaE33Yn3F92TGHZVTeU/2tLVKPmfusRBQHIk+Js60tUipBjOR1/MzStpzKydwarJNAOx5LB2eCMRxKuK0q+fIPJYCWZefrEjOiy48VPpbJde6/GvCXHvy11Q2Rp9v5Kc9cVtyEmhtwwFgseMIACwr8KUy0/i1UI5adXbh3rPlr/7sdyXV1WDrGH7dnKowySy91ep6BpfXVWyfZXin6b+6wetesU6VGd5tgKnyeiVfvvkHFX0bqOQDACDbCto8Pi/viNeyvucsZa0SUL3izE9UpNxdXNfPBQAAaDZOWVqh9rbZSr1pbZbNnKnp2Uq/9gyceW5dyEe7zgV620tD23XGtivD7Tpj4yNNPmoT8gHWteusGBHy5ZYMIgEAQLYUx8qR98tdxXWfoBrkc1LRgsLCRPR6AAAAbGTycrFRtm3pD/8/MTCY+Pm5j28/83VpRshnMUvmKcaC4wzPUWQmH4D6VvI1/6mgPhfQrVAGDABAlukhX6lrffP45pQ7tbl849G5fwAAADZq/sqOJS44d0/4/7MvvJz4+Wf2zX78/DNfl2Y5S4KiOVTyzd0QgTaJyeR2ndFDk5PhSj495DN4/GWslajeHRZA8+XL5lfy0a4TAIBsK4xH23WWaxXyaS07qeQDAABpwEy+Fbrqsgulq7NdDh05Ls+98Eo4a6/aV+69P/z/9a++TupldGxCxsYnwrfLleadcUYln6WSgjItTDMG7ToXeFoQmzM38HT0bdO3HUDT6QGaCSGfvg1U8gEAkGFBUMdKPi3kG6ddJwAAsJ+hK/zmKRQK8vYfeXP49u/88Udkcmp2Bp/yybs+J/te2i/XXnmJXHLBuXXbhjvvvkduefvPh5eDh4/J6Oi4NIN9Id/S25/lkM+edp3ZLQmL/eomH7WZyQeYLQgkr7XC9AwI+fR2nTlVee5l97gPAECWudOe5CrR164lNZOvLpV8tOsEAAD2y2wl3zfuf1g+/Ff/MP9+uTz75O6d73n//Md+/qfeKq+74dqF93/yrfLAI0/IY089Jz/0zl+Qqy+/WI6dGJAnntknG3u75YPvf29dt/mO22+V2265OXz73e/7gDSL3jrR1KBose3LautHJykoMzWg1feZ2mUqnDV1e+uJkA9AjSRVyBkR8iXMBVQVhxXX5LMaAABAPehVfL7riNfq1mUmX37GE6fsS1DgOQcAALBXZkO+oeHRMJzTVX9MfU21lpaifOyPPygfvfPT8oWvflO+dt8D0tPVFQZv733XT8jWzX113eburo7wohTyefF934i5buZX8umBUTZDvuR2nYbuu6TtUtvvGrq99eRZNJNPe22c4QJMwEhuRTugGNKuMyloVBWHldqctA8AACxSHCvFW3XWaM2h3F4Q9arY0ebylXpbavLzAQAAmiGzId9bfuDm8LJarS0t8t53vSO8ZFFSQKa3wzS/9SMh3+ztYm4lX5A0KzCD+y38lS2q5HNo1wkYLZ8Q8hlRyZdQsafPDgQAANlQ0Cr5yjVq1RlyHam056UwudCmk5APAADYrqYh3+jYRFjd9vBjT8uho8dldGws/HhPd5fs2r5VrrvyUrn5td8jnR3ttbxaND3kMzMoWmz7ctnLipL3ncn7LWHbHN+XQJq/GN1Q4S7TbguT78D67qGSDzA65PNyOTNabjtO2JozXzWHL6m1KAAAyF67zrCSr4bKHVrIN85cPgAAYLeahXwf+9t/lI/9zT/KxOTU/MeCM6GC4zjy6JPPyT996evy+3/2l/Jzd/yY/Mzb31Krq0YDJc2zM2KBcAlU8p2h77ukajnT23VmTdIYRZNzTj2A9M0+NgBZb9dZKZhzQFEVhdGQj0o+AAAyJwikMF7vkK8gMjAdqeQDAACQrId8v/7bfxzOqJsL9dxcTnZu3yLdXZ3h+6Nj43L46AnxfF/Gxifkf374r+XFVw7Jb//6L9Xi6tFAVlbyaYFRdmfy+faEs44TthN1qndVFvdb0hp3zqKZfKzRA2ZX8uXNOaDoLTvdqsAPAABkgzvjiVuOPgcod9Y45NN+HiEfAACQrId8f/9PX5LP/+s3wrcv3Hu2/Nwdt8uN118l7W2tka+bnJqW+x74rnz0bz4tz73witzz5a/LVZddKD/2Q9+/3k3IDNUOVYWkSrnSnJYSVoZ82vYlVSNmgVXtOue2r2qb1X7L2p4Lkta4zVmTj2EmH2BZJZ8B8/gWmw2YND8QAABkax6ff2aGXq3bdUauU7XrVK87TX99DAAAsIh1PVtSQdOfffRvw3act9z8mrAyr5BP/pEq9HvjTa+WN7zmevmN/+9P5Ytfu0/+9KN/I7fdcrPkDVpkMtmdd98jH/rEXfPv93Z3NXwb9IBMVVsZ/2RYD/myWBGW2K7T8P2m2on6VYu8WQxnLQv5YttGIQ5geCWfOc+/9KpC2nUCAJA9+jy+sOquxusNeiWfqhzMlXzxW8x5XgQAALAa61ou/vq3HpLh0THZsW2zfPA//+KiAV819TX/7f3vDb9neGRM7v32Q+vZhEy54/Zb5Yuf+nB42b1zm3R3z7ZDbSQ9IDO9ik/xCflmWbbvYu1EsxjOetpt4ATxajmT6K+L/WzuNsCWkM+oSj43ui206wQAIHuKY6W6zuNTKm352ZOVq9CyEwAA2Gxdy8UPPvpkWMX3Ez/yZmlpKa74+9TXvv0tPxDO8PvOd59YzyZkSndXRxiOqosKS9Xsw2aHfHqAZqRYTpLN1MGxrZIv1mY1g2Vh+q9scsCn5PS/LdVytUnbAiDGrUQPKlTyAQAAkxQmomNJynUI+dTr4MSWnQAAAJZa15Kxmq2n3HDtFav+XjW3r/pnwA6OtmBvejVY4ky+jIZ88XadhidGegiZwXadsZl8hu+yxCrDDGazgKlMnsmnbwvtOgEAyB53OvpcpdxW23l88z+3IxoeUskHAABstq4l42MnBsJim3P37Fr196rvyeWc8GfAHrGZfKZXgyVso5PV0EFLjEwPaGnXmRCQmbMev/JHlOjrdABNlC8bPJOPdp0AAGSeOx2tqPNa6/NchZAPAACkybpCvonJKWlvawtbdq6W+p6O9vbwZ8AeNs7ko5LP1naduaW3Pwu0gMzoeXwKlXyA0YyeyZePHkCo5AMAIFsczxe3En3N57XUKeTr1Cr5aNcJAAAstq4l48mpaWldxSw+XbFQkKnp6fVsAhosR8hnL9tCvli7zgyWYPrOMjPvzH9EibUcBdA0JrfrpJIPAIBs01t11reST5vJN1EWyepYDwAAkO2QL6jBkyCeR9nFynadSTP5snjHsyygpV1nQkBmznp8orDSUB/cqQeVAIyp5PMK5lby6dsKAADSzZ2JPvb7OUd87flBvSr5cl4Qu34AAABb1GeKMepidGxCxsYnwrfLlWiv+kZJRbtOyahYJZ/hvR/1/Ua7TvPbdSpqG6tfH1PJB5hbyeeac1DR5wO6FQ4eAABkSV6r5Aur+Oq03qB+tu86Ybg3pzBeFq+VJTIAAGCfdT+DGTw9Ile84cfWXAm4lnl+WXXn3ffIhz5x1/z7vd1dDd+GNIR8c7+HDdue6Zl8sXadGay+1Ne4zVmPXxwhH2Askyv5Kq4W8nmcTQ8AQJbolXT1mscXcpywZWfLaHn+Q4WJikz31e8qAQAAjA35atGyEytzx+23ym233By+/e73faApN5uVIV9CmKUCr8CGwKSOvR9N33eBXmmYxWONrSFflYB1esAYRs/k09px6dsKAACyNZOvXvP45pQ7CtGQb3zhbQAAgMyEfO/5mbfVbkuwrO6ujvCiFPJ58f3Gt7Kycybf8mFlJthWyRdr15m91m2Bp+0j1/z7rWopGtnK7O02wEjqGOpqjwN6i8xmol0nAADZplfyVepZyZcwl68wQcgHAADsRMiHzLbrzBradVrIt3Emn/rbqvqb89Xb2ft7A0yTVBlnVCWfNh8wbNepHqsteJ4BAADqNJOvjlS7zmqqXScAAICNbFgyhkEI+SwWC2jN/vOPVYlmMJi1sl2nu2SXWABNkq/E/xhNruRT5wvksjiLFQCAjGroTD51slNbfsl2oQAAALawYckYBrGxXaeqAtCXCZ0srhta364zezstNs/OnPX4lT+qEPIBRlbyBQnVc82UVFXIXD4AALJDD9kqda7k00NEt+zHXzMDAACkvV3nSg2eHpYvfvU+eeXQESkWCnLR+efI97/+BmltaWnE1SPjlXxzYWR1SJTJdp16SZXp+y6nLT5n8QWXhZV8zOQDzJTXQr6wcs6gx4GkwNH1fGE6DgAAGRAE8Uq+Bod8itoGT6vwAwAAMN26nr2cHh6VT332X8RxHPm/fuJHpFiMDi5WvnH/w/KfP/hHMjU9E/n4n3/8U/Lnv///ytm7d6xnE9BgejjmG7RAuJTZMLIq5MtkYGRXJV+sSjST+0yrZgzn3RmOSj7ASPmydna8Qa06Fd/NhY/S1Uc9KvkAAMgGFa7pr07r3a7TL+YkcKJdfgj5AACAjdZVF/KdRx6XD33irvD/pIDv8LET8r7/+j/CgC8IgsjlyLGT8ku//jtSrjDc2OpKPsODosUqDrNYyaeHZMbvOz1AzuJwN/1XNmtNfkWPKoFn+P0MyAjXMzvkU8d8Lx89gBDyAQCQDXoVX9CAkC987lF0l9wOAACA1Id8jzzxTFjFd8sbXpP4+Y/+9d0yfaaC79//9I/LVz/9Ubn/C38j7/+ld4mby8mhoyfk81/5xno2IVNGxybCcFRdVDjq+X7zZ/JZVcmX4ZAvCGJnRprUpi2RFkJmsfoyNpPPgnadolcbZjCbBWyo5NMDNRN4bnShLe9xAAEAIIvz+MKArwGvV2Nz+Qj5AABA1tp1Prvv5fD/G667IvY5z/Pky/feH4aAP/ymm+QXfvbt859754/9YFjl9zd3/7P8230Pylt+4Ob1bEZm3Hn3PWHl5Jze7q6Gb4O1M/myHvIlBWT6zDvDBMzkiwVkat6d6WLbyBo9YAQ3aSafYcLgsaq7O5V8AABkQ77B8/jmr6dF6yJAyAcAACy0riXjwaFhyeddOWvn9tjnnn9pv4xPTIZv337rG2Off9ttbwr/3/fy/vVsQqbccfut8sVPfTi87N65Tbq7Oxu+DTlrQ77o+4R89rXrDPdZ5sJZbR+ZtyYfp28jIR9ghHzF8HadCZV8LpV8AABkt5KvAfTryc/w4gUAAGSskm/w9LB0tLUlfu6p514M/29pKcplF+2NfX73jm1hy86h0yPr2YRM6e7qCC9KIZ8X34R2naYHRYtsZ9ZaPzpJ8+xMD2iT7lsq5DN9u2vJX6YVpg0z+XidDBhBr4qrFMwL+fTgkUo+AACyGfJVGlbJR7tOAACQ8Uo+J5eTsfGJxLDpmTMh396zd0suoS2g+lhnZ7uUypX1bAIajHadaWrXaXZYlhggZyyctXMmn/Y+IR9ghHzFt6NdZxVCPgAAskFvk9msSj7adQIAAButa8m4f+MG8YNAXnzlUOxzjz71XDiP79IL41V8c8YnpqS9rXU9m4AGS0/IJ9miV2Cqm8P0fZe0fZlr12njTD5tH3mG38+ArFbymRjy0a4TAIBMyuvtOqnkAwAAWLF1LRlfeqYN59/+4+cjH3/6uRfllYNHwrevv+rSxO/df+iIeJ4n27f0r2cT0OyQz/BqsMVDvmyFRbHf1/SAT0m4b2WtzWqsCs68Nfk4KvkAK2byUckHAABMQSUfAABAk2by3XbLG+RfvvpN+cwXvir5vCtvuPF6OTEwKB/6xF3h53u6OuW1r7om8XsffPSp8P/zzz1rPZuAZs/ksyEsIuSLt7lMaKFrHMcRtdWRe1iGQr4wl/W1vy8Ldhsz+QAzWVHJp22T3mIUAACkUBAYM5MvV/JnX3NacjIzAADAukO+V193pXz/62+Qr9x7v/zDP305vChBEIStOt/zs2+TYrGQ+L0qHFRfc/XlF7MnbKH2q/4hQj47aHMzrajAVPctdamuQgwytOCb9KvqrTBNpL8ez9AuA0xmRSVfrF2nPpgUAACkjVMJJKedzNm4mXzRsyjVq2S35InXuq6lMgAAgIZad13I7/2XX5Wf+JE3SyGfD8M9dWltbZFfetc7wo8neWbfS/LI48+E6/evuyG50g/mSWpxaU3Ip4VaWWv7aGW7TiXL+y0hHHPMW5OPic0NJOQDjAz5KnnzSoM9bZv06kMAAJA++elK7GMNm8lXdMPuMdXcGV7AAAAAu6z79KRCoSC//iv/Tn7l5945P4fvvLN3S0tLcdHvUXP4/vHjfyyu60r/po3r3QQ0M+SzoSKMdp0J7Tot2W85R5zqNd4shXxJa9vmrckvX22otxwF0BSuBZV8egtRl3adAABkbx5f3pHAbdALn5wjfjEnrmrTucj2AAAAmK5mPQja29vkkgvPW9HX9vZ0hxfYJamKyppKPmf5wDLVtN/Xlv02WxZW9SIrQ/stsTOpFSFf9N2A18iAGbNubJjJpy3o0a4TAID00+fxNbpVpmoNSsgHAABsVrNnT77vh5V84xOT0tPdKXt27ajVj8YZo2MTMjY+Eb5drsRbWtSbk5Cv2BIW6duZtZDPsbSSL9vtOp1UhHy06wSaL+f7sSJbEyv59G2ikg8AgPTL65V8DZrHN6fS4kpxrDz/PpV8AAAgcyGfCpv+10f/Vu6+50syMTk9//Gerk65460/JD93x+3iWBIEme7Ou++RD33irvn3e7u7Gnr9ucSZfGKFrId88XadNqRFCe1g/QzNR9Ar4HKBFaMUmckHmCdfjpfU2lDJp88RBAAAWajka+xzFD1UJOQDAACZC/l+5Td+T7714KMSaKHJ8OiY/O+//JQcOHxMfufXf3m9VwMRueP2W+W2W24Ob4t3v+8DDb9N9GAsLDSyIXVICIucDGVFSb0fbanAjFUcZimc1e+jduSyVPIBBkqqiKvYMJPPI+QDACDt9FBNVdY1EiEfAADIdMj3pX/7ltz3wHfDt3fv2CpvvOnVsqW/T44cPymf/9dvyMCpIfnnL98rb/mBm+W6Ky+t1TZnVndXR3hRCvl82CK1kfRWidYERVTy2duu08luu87A1pDP1fZR4IS/S6zCD0DD6BVxfs6RQKuaM7Zdpzq5w6LnGwAAYHWo5AMAAGhiyPfPX7k3/P/V110pf/o7vy7FYmH+c+/+ydvlXf/hN+W5F16Rz3/lG4R8KaBX8hHyWcTSkC/Q24pmKOTT23U65hXdJEvKDTK02wATuVrIV3HNPKDo7TqdM/MEfUO3FwAA2D+Tz2uJPv+gXScAALDNuk7jfnbfy+G8vf/8iz8bCfiUzo52+Q8//1NhG08V9CGFIZ8lQVFiIJmlto+KrQFtbCZfhvZb2A+3Ss6O3z2xYo+Oe4BRlXxewczQTK/kW6zVKAAASG8lX6XpM/l47gEAADIU8g2PjElLsSDn7NmV+PlLLjj3zNeNrudqYIg0VfLlgqxX8pnXpm1F7TpjPSzTy9p2nUnbmZ3dBthRyWfgPL7FQj49oAQAACniBeKW/SZX8mkhX8nL3knBAADAautaNi6Vy2HF3mK6Ojvmvw72S1PIl7Un7dbO5Mt0JZ/2vplr8it6VMlQNgvYUclnaMgXzgrUPuZ6HEAAAMhKq07Fa3IlnxOI5Eo8/wAAAPawpTYEBgZFVoV8WlgUC73STktZbNl3sZawWZ7JZ3Ulnx33NyArIV8lb+gBxXFiAaRehQgAANJDn38X5ET8QmOfpyRVDjKXDwAA2MTQVR6YKGf1TL6lqxJTz9ZKPi3ZytR+s7RdZ5gf6/MDOREWaCrXkkq+pACSkA8AgPRypyuR9ysqcGv0Cak5RzwtWCTkAwAANsmv9wcMnh6RK97wY4t+3nGcJb9GPX977GufXu9moAHS1K4zU2FRUuWiLfsuVsmXnbQo0KvfXIvus+o1cvWuys5uA4xky0w+xXPVti20eXcrHEAAAEgrd9praqvO+ettcSOzAQn5AABApkK+YN1hiSVhA8Le9NUI+SwSq8K0oyyMdp1V7Nhlidsa0G0PMKxdp8Ehn17J53EAAQAgKzP5vJZ1L1GtideSExlfelYgAACAqdb1DOo9P/O22m0J7Kvks6XlY0IgGXYTVL+PLRVtmW3XmeEKTN/SmXxntjWypyjEAZoqX3VmuuntOmcr+RZQyQcAQHrpFXOVJlbyVcvN8AIGAADYg5APa275aFMlX2bCvEU4gZ+Sdp3ZDflsruQj5AOaS6+GM7uSL7pteSr5AADITrtOLWxrFP16qeQDAAA2aU4vBKzJ6NiEjI1PhG+XK9EB1Y1g80w+P6FyTYWWgWvP75DFSr5YW9EMhXyxFpfmrsnHhaWyVfexcL5gdvYdYJp8WVtAs6ldp9ZqFAAApEfeoJl81ZjJBwAAbELIZ5E7775HPvSJu+bf7+3uauj129yuM6lyTf0+mYkdfEv3XabbdWq/exicWUJ7ba4XkgJoLD0oM7qSj3adAABkhh6mmVLJR8gHAABsQshnkTtuv1Vuu+Xm8O13v+8DDb/+nBYU+RZV8iVVHWYmMAqC6pqqWda268xQWmRxu87YTD4KcYCmymshn14tZ5KKXslHu04AANIpCIydyUfIBwAAbELIZ5Huro7wohTyefEbHHjY3K4z0yFfUotLSyr5YhWHWW7Xae6afBwz+QCzK/kKBlfyaVWGbiVDJ3cAAJAhuZIvjvbyzphKvpIXhpDWnBwLAAAyzaZlYzSZ3SFf/GNZDvlis+5sadep/snMftPeN3dNPo6QDzBHEEje8+2ZyRdr10kpMAAAWZjHFxgU8jm+SK7MiUYAAMAOlqz0wwS2z+TTgz4nI1VhTtJANFsC2qQw0s9myKdaYFpDmx8YaPMFATROUkhm9Ew+rV2nHlACAIB00Fti+sVc0zrOeC3xF1u07AQAALawadkYTWZzJV/S9ma5ks/adp2ZCvmcJYMzk8UCSdboAWPm8RlfyRdr10klHwAAaeROV4yYx6cEbk78fPT1lzvDixgAAGAHQj6smF75Zn/IJ9kQ2282VfIlzVL0szmTz9w1+Th9W7OxywAjJc20M7mSr+JGn5oS8gEAkE56pVyzWnXOqehz+bTtAwAAMBUhH7LRrjPDlXyx39OWgG+xbc1MJZ/FR2t9W3l9DBhTyReGaAY/DsQq+WjXCQBAJmbyea35pm1LeP2EfAAAwFI2LRujyfTKN/sr+bISFgXLz7mzaJZiVkM+u2byRd/NSPElYEXIZ3KrzqSZfFTyAQCQTnqlnF5J12iEfAAAwFY2LRujyXLM5LOT71sdzuqhZHbCWe19s9flIxx9fqA+XxBAw+ghmcmtOhXPjW5fXlXyZeW4DwBAhrixSj5CPgAAgLUg5MPa23VaFhbp7UX1GYNpFQvFLGuzGmsrp4WWaRRWvukljHpwZtMjS/p3GWAs+yr54ttHy04AANInr8/kI+QDAABYE0I+rJgeijGTz9Z2nXaFfLH7WRbC2YRQzOZ2nYR8QPO4Zcsq+bR2nQotOwEAyEAlH+06AQAA1sSmZWM0mfWVfNrmZqbto+X7TQ8lM7HfkirfzF6XX3JbmckHmFTJl7OqXadCJR8AAOniVHzJeYFhM/m0ucBapSEAAICpzF7pgTFUsKJHQ7aFRfr2ZiIsSmpLan27zgzsN8/uo3Ws6pDXx0DT2DaTz8854mvHfSr5AABIdxWfke06S8wFBgAAdrBo2Rim3VFo12mJWMhn1599oG9vBkK+xMo3m3abPj/QtyxYBlLEtpl86sQOvdrQrTDYEwCANM/j811HgiZ3G9BDPlVp6GjVhgAAACayadkYTZQY8tleyZeVNUMtMbJtv2WzXWestywz+QDUppKvYHjIl9Cy0/UoBwYAIM2VfJUmV/EtNhMwqeIQAADANIR8WPMdRW+nZbogi2FRKtt1ZiCd9Sw/Umvby0w+oHmsq+RLmBuo/w4AAMBu+ry7ZrfqVFQloaoorMZcPgAAYAPblo7RJKms5Mtsu07L9pu+vVls12nZkdrRX6NnIJcFTKW3ujR9Jl9iJR/tOgEASJX8dGXZKjoj5vJpYSQAAICJ8s3eAKzc6NiEjI1PhG+XK9EnxY0esRWyKyvKbsin/Z7Wt+vMQMgnlod8se0l5AOaJg2VfLTrBAAgXfQ2mCZU8s2FfIXJhbUWQj4AAGADQj6L3Hn3PfKhT9w1/35vd1fz1uxVUGRZWJTZkC9WyWdZYuTovR8zsN+8ZSrjTBc/YIS7zbJDBpDKkM+GSj59G6nkAwAgXfTwrNJixtKU16K1DKeSDwAAWMCMZ1JYkTtuv1Vuu+Xm8O13v+8DTV2zt64aLNxmyWTI56SuXWcGysJ8ZwWltAZL2l6128zPFoDUcW2s5Iu166RVFgAAaWJyJV81dyYDrz0BAID1CPks0t3VEV6UQj4vfgPDjnSEfBls+5gw4M26fZfBdp3Wz+RL2l5CPqAp9ICsorXCNBHtOgEASDe9Qo6ZfAAAAGtn/koPjBAL+Sy85+gVYdlt12lZyKeHklnYb2lr16lwEizQcI7ni6s9BtjQrlOvNsxXOIAAAJAafiBuKfrYXjG2ko9uAgAAwHwWRjVohlRW8mUhLEqqfLNs3wX6DMEMVPLFAjHbjtTuCqoTAdRd3osvTNnRrjN60KNdJwAA6ZEUnFHJBwAAsHa2LR2jSXJaIJaOkE+yQd93emhmugy267Q+5Es6PBDyAQ3nJlTA2VDJp2+j63EAAQAgLfLaPL7AEfGLZrzgoZIPAADYyIxnUrCwXWcaQr4MhEWpbNeZ/sXewNd+51xg30w+PUX3LLvfASmQ1+bxqb9KX6uSM5FebUglHwAA6a3kC4M1Q04i1kO+nBeIQ9twAABgOPNXemAE2nXay9FDMUNeQK1ULFDOQiWf7TP5kg4a6c9mAeO45ejBpFIwZxFtVe06qeQDACA1XK2Sz5R5fEpFC/kU5vIBAADTEfJhTXcUK9t1ZrHtYxoq+bK432xv15mwzRkowASMr+TzXHMW0VZTyaf/HgAAIEWVfAaFfEHeEV97HUPIBwAATGfj0jGagHadFtNCscD6dp3pD/ligZiNR2oq+YCm09tchpV8FvDyWiUfIR8AAKmRn64s2SKzqRxHfG173BnOVgQAAGazcekYTaCPBLOykk/b5EzM5AsCie0py/ZdkNMOU1ms5DPode9KxVqM8toYaH4ln1YhZyq94pB2nQAApHwmn0H0lp1U8gEAANMR8mFNdxQ7Qz4neyFfUiBme7tOtd/Svu887XfWU3Yb6NvsW3a/A9JYyZe3tJJPzeRL+3EfAIDMzuTLi0n00NEt0TYcAACYjZAPa7qj+IR81oZ8sco40yXd19K+2JvCdp0Br40BAyr57DiYJIWRboVyYAAA0iBveCVfLOTTthcAAMA0dqz2oOnSOZMv/WGRExvuZmO7zoTtTXnLzthuM+t178owkw9oOmsr+bR2nYrrscAGAID1giBWyee1mvX8hJAPAADYhpAP2WnXmRAWhUFfmqWiXWf8MOWkPOQTz/4jtUPIBxhXyWdNyJdQcagHlgAAwD65sh97DV4h5AMAAFgXC5eO0Qw5reLNypAvk20f9f1mXyUf7ToTAjMbEPIBBrbrtCPkU22l9bbgedp1AgBgPb2Kz8x2ndpsYNp1AgAAw9m4dIwmcFPYrlNxUh7yxX4/2wI+xRGJ7SU/5bOZfG0/5Sy8n7pawKz/TgDq/2doaSVfUjUf7ToBAEjhPL5izrhOM/F2nSl/7QkAAKxHyIc13VHSUsmX9pAv1q4zofWl8dR+0174pb1dZ6Cf4GrPuvwCKvmAptOr32yp5EvaVpdKPgAArBebx2dYFV9iyFf2Rbx0v/4EAAB2s3DFH81AyGcpreLNxnA2pG936sNZ+9t1xraZcVpAw9lcyVdxtQU2j4MIAABpC/kqFoR8ilvieQgAADCXhUvHaIY0hHyq7WPsQymvCItVKhrWCmU185ki/GyFfFYeqankA5ouX7ZzJl9iu04tsAQAAClo19lq3nMTv5CbnWVfhbl8AADAZDYuHcOEkM/GsMhxYqPOsteu08L9lrTdKQ75wrukfkc177Xvqg8aAaMsgIbTq99squSjXScAAOnjWhDyqXWD+Fw+TjYCAADmIuTDyu4oQQoq+RRtu1Mf8mm/n7X7TZ/Jl+bEyF/BH6CVlXyW3vcAWwVBvJKvYOBC2iI8N3oQydOuEwAA67nTFePbdSp6yKdXIAIAAJiEkA9ruqPYGhb5GQv5nJRU8jnhuf4AAMCySURBVMXubymu5EsK+aycyedq+yjFuSxgopznx7pUU8kHAABMmslnZCVfQshHJR8AADCZhUvHaIZUtOtUYiGfpFss5LP0Tz5D7ToTwzAzX/sujZl8QFPlE2bY6XPuTKYHkszkAwAghTP5WvJiIq9Fmw1MJR8AADCYPas9aKq0VPLp2x2rdEsbra2lrftNDyfTXIEZeCk5UjOTD2iqpFCs4trbrlOfLwgAAOziVHzJVQJLK/loSwIAAMxl5mlTSDQ6NiFj4xPh2+VKtJd9XQVBekK+2Gy39IZFCu06LZQ0uy4FIZ+wPg80tZLPyzkSaMGZybxYJR+LawAA2CypGs6WmXxU8gEAAJMR8lnkzrvvkQ994q7593u7uxp23U5aQr6MzeSLt+t0UtKuM8WLvfqvlgv0LrNWiM0RTPEuA0yU10IxPTQznd5aNKn9KAAAsHcen+86EuTNfKHjFQn5AACAPQj5LHLH7bfKbbfcHL797vd9oGHXm9TS0rc0LMpcyKf9fraGs3rIl+r9pq9j21N4E5ULlq9QBNCwdp3WhXxaa1HX40wBAADSNY/PFVPPZqSSDwAA2ISQzyLdXR3hRSnk8+I3qJopKVCxNSzKXMgXq+SzMzGK3d9SPEtRG6Nob8jnLvN7AagrvfKtYnklX9KMQQAAYG8ln6nz+JJCvlzJn30NaunJzgAAIN1sXT5GA6Ur5JNMhXxpmckXCydTHPLpbS0dc1/7Lol2nUBzubaHfFTyAQCQKvpcO1Pn8SWFfOpVtFvihCMAAGAmQj6sLeTLpaSSL81hUUL5VGradaZ5v3lOOo7SzOQDjKrks61dpx5KUskHAIDd8lZV8uUkWCakBAAAMIWty8doID1QsTle0cPJ7LXrtDPki4WTae79GGvXGaTj0cWLjYgEUEduWa/ks+spH+06AQBIFz0kMznkU7MCvaLWOnwmxa9BAQCA1exa8UFT5LSV+TBwSc1MPkm1WMWbpfstFk6muJIvNTP5YuGkY/cZAoBlbK/ki7Xr9IN0V3EDAJCxmXwmt+tMatlJJR8AADCVrcvHaCC92s3alo+JIV/KFwyDdFTyZatdZ0pn8imc/Ao0jPUz+RIqD3MebbIAALCVO1Oxp5KPkA8AAFiEkA+rb9dpa1CUxZAvtu/s/JMP9MQozfstNZV8CR8j5AOaV8lXMHshTZdUeZivcBABAMBKfhBrd+m15MVkVPIBAABb2Lp8jAaiks9ejt77MTXtOtO70Bv4Tjpm8iXlCendbYBxXC0Qq2jtL03nufGnqC6VfAAAWMkteap5/5IhmmkI+QAAgC0I+ZDtkC/NbR8V/feztQozS+06U1zJF5s3CKBubK/kU5Xnnnbs11uQAgAAO+fxBY4K0cx+oUPIBwAAbGH2syqYGfLZGhQlbHv22nXaue9iwXKa91tKZvLNnqqr7Se9ShFA3dg+ky+pZadenQgAAOzgznjxKj7DTx4m5AMAALYg5MPqZ/IZ/mR8KeqMwcyEfEEQa4li+guplbfrDNIb9KWkki+8q+nbThEO0LxKPhtDPq1lJ+06AQCwU16r5DO9VafiteaWDCoBAABMYenyMRop1e060xoUKUktLS2t5JNcbtkisbSItbS0+SitbztFOEDDpLGSL08lHwAAVtIDskqr+c9L4pV8fnpPNAUAAFazefkYDULIl56QT804slFisJzWAW+eFkS7Fr+QzGVjlwHGCQLJe779IZ9eycdMPgAAUjGTz4pKPm0bw0YlJV7QAAAA89i54o/mtuvMpaiSL8XP0Z2kRMXWKsyk+1xSpWIapKiSLzZPMMV/b4DJrTqtbdepz+TzaJMFAEAq2nXaUMlXjG8jLTsBAICJLF4+RrMq+XxLc6KkgJJ2nfaGfHr4nBopCvkkp+0jmw8egEWSKt4qefsOJnr1oUu7TgAArKSHYzZU8qnXoF4h+vwpz1w+AABgIPtWfNBwtOu0lF6B6VhcyZfYrjOdIV+sANOC178rfoShCAdoiNRU8tGuEwCAVLBxJl9SGJkj5AMAAAYi5EO223WmNChK/N1sDfgUx4nP5UtrJZ+2Nu/YfJRmJh9gRCVfRYVlFj4GxNt10vMXAADrBIG40xX7KvkStpNKPgAAYCKbl4/RIDktLIqFLRbJUsgXC8Fylv+5661W/ZQu9uotLfWWlxaJBZQp3WWAafJlz/oqvqTtTqpQBAAAZstVfMlprwNsmMmneC3RFzTM5AMAACayfNUfjUC7TkulKJwN6RWkKQ1oU92uk5APaAh9dp0+287edp0cRAAAsI07ndBG3NJKPneG5yIAAMA8hHzIWMi3dCvSNIlVulncZlXJartOq4/ShHxAU+gVb2mp5HM9KvkAALA95PMKOQm0E3nsCfl4LgIAAMxjxzMrNFWqZvLpLR/DDwYZaddp735Lajea2oDWT9FMPlc7duitSAE0ZiZfwc6Qr5LXK/lYWLOVwzxFAMgsfY6dLVV8CiEfAACwQb7ZGwDzpauSz0n8/Wz+nRaVov2WGFJmJOSz+VSMWEDJ+jzQlEo+e9t16pV8tMiyTXG6JBc+sV82DgzLWE+HPH79+VIpFpq9WQCAZlbyWTKPTyHkAwAANrB4+RiN4mhZSvpCPkklJ2WVfLF9FxteZ7/wV9J7ymrVcFahXSfQFHrFm6dVxNlC324q+ezSfXpcrvvm09J3clhygUjP8ITsfeZQszcLANBgeovLiu2VfGntBAQAAKxl56oPGipV7ToXqeRLpVjIZ/mfu95qNY2VfEm5pc27LZf6XBYwUmor+SocRGyx9dCAXH3/s9IyU458fPPRQcmXKk3bLgBA49lcyacHkuoE4VyZ5yMAAMAsNi8fo0Gy0K4zlbRExeb9lpl2nQmvF62eyUclH2BEyOfZGvJp25336PlrOnUCzt6nD8jFj78iuYTHadcPZOuRU03ZNgBAc9g8k89vyS1bmQgAANBsNi8fo0FSFfIlVCGmsiJMSV27Tr0sLIX7LemkUHteA8c4qj9bNd/u+yBgCzctlXxau04VGjk+Z8+bKl8qyxUPPi+7Xjmx5NdtPziQzsdwAMCKKvkqFlXyBW5OvHz0NQwhHwAAMA0hHzIV8ilBRir50jaTLwvtOgMvZUdp/fU7a/NAQ+S1tpa2VvJVtHadCi07zdQxOinX3feMbDw1Gvvcqc09kfc7x6ake3iigVsHAGgmPRSzqV1n8lw+XtQAAACz2Lx8jAZJ00w+cZxYSJnWkE9SFs7G23Wm8MVVrNItELF5t+nFl3S2ARoirZV8ikvLTuP0HxuSa771jLRNzkQ+7ucceeaKs+WJ686XqfaWyOe2HzzZ4K0EADSD4/niajPsbGrXmRzy8aIGAACYhZAP2avk07c/rSFfrJLP7j/3TOw3PbfMhbm0vZjJBzRFWmfyKVTyGSQI5OznD8tlj7woeS/6ADbTUpDv3nCRHN/VHz6QHd3dH/n8lqND4pZZJAWAtEsKxOyv5OPxCwAAmMXuVX/UXRAEsZDPtzp1UGFR9P1cGsMi2nVaKVbpZtfr3xh9jCLtOoHG0MMTWyv5VDjkaSeo6FWKaA61Hy57+EU5+4Wjsc+N9HbIQ6+9REY3dM5/7NjOvsjzR9fzZcvRwYZtLwDAjHl8qsrbT6jUNxkhHwAAMJ1dz67QeH4Q6xZodbvOpIqwFM52CwV+qiowY5WIfjYq+ayWC5ZpRwqgHvJeOir5klp26hVjaLy2iemwPWf/idOxz6kw79EbLpJSazHycfX+qS29kY/tOEDLTgDI5Dw+y16XEvIBAADT2b6EjHpLmHtme1ikh5ROCrOi5Hadlu+3DLbrjFXC2cZdMncGUKfZNznt+G9tJV9CQEklX3NtGBiRa+97WjrHpmLncOy7ZLc8e8XZ4rvJD156y86u0UnpGp6o6/YCAJorr1Xy2TaPTyHkAwAAprN9CRn15qUw5NO2X29Hmhax38vy/aaHlE5CAG09vdLNtfy+SbtOoOnz+JRKwb4FtTkVLTAi5GuerYcG5MoHnpeC1g62XHDl8e+5UA6fvXXJ5xpD/T0y3Rat8Nt+kGo+AMhcJZ9lvBbtuQgz+QAAq1QYK0nbyanwpFygHvJ1+amY9/RzL8rffPrz8tjTz8mhI8fl537ydvnlf/dOa26hQGv5FX7M8rAoKyFf2ir5YtufhZl8lp+GEatEZJQW0JSQT295aXUlHy+KmqI4XZILnjwQa+E+3tUmT1y7V6Y7Wpf/IY4jR3f1yzn7jsx/aMuRQXnx4t1Wt5QFAKx8Jl8lFZV8/mxXGcvXRQAAjdF5cEz6HxsMX0vN9BTl6I1bJbD4NTrMxD2qzh596ll54pnn5arLLpKuznZJRSWf5WFRVkO+QJ9pZ5kstuu0/ghNJR/QcHqlmyoQ9i0+/usBJZV8zdF//LS4WgX9ya0b5JEbL15ZwHfGsV39EmgzFjcfHarhlgIATJKOSr7oNqu26E4lha9FAQA1VxgvS98TQ/MnS7aMlKR7/xi3NGqOSr46e8eP/qDccfut4dtvetu7xfaQLw1PZbMS8jn6ADTbzzTUFqkdPwMz+ex7DRyV0/ZR4HDSK6zWMzQmu186LoVyRabaWxYuHer/VikX800/1uqVfGGFlMXHf891l61URP1tOjkSeX9gS688dc15q75vzbQVZXBzr/SdHI607DymzesDAKRDGmfyzYWXlYK9J1EBABogCKT/0YHw5JBqPS+OyOieLqr5UFOEfHWWs/js+ZB21nYYkFm8WBjSQ740hkUK7Trtk7J2nYnbrw4p9r22B8J2hZc/uE8KZ0Km3qH42Xeem4uGf+2tMn0mBJxuaxFfmy9XD3qlW8XyNoi062y+nOfLhlOjkY+d3L5xzc8Hj+7uj4R8PcMT0jE6KRPdFna8AACsrl2nhZV8qqWa7zqS84JoyNdZaOp2AQDM1vPiqLSeLsU+ni/50nVgTEbP7WnKdiGdUhPyPf38S3L/w4/JU8++IE8+96KcHBgMP/7kvZ9Z8vumZ2bko3d+Wr74tfvk2MlT0tPVKTdef5W8913vkC39myTrAr2Sz/JWnUm/Q3badTopa9eZvmG1geqrt1QlnGUSKxEJ+WCpHQdOzgd8i1Hz4jrHpsKLTv01D27ukaevOle8Qv2efuUr0WOj7bPOVHBajXadjdc7OBpp1Rnel/t71/zzVCXfTEtBWmbKkWq+Fy7ds+5tBQAYJAjELdlfyTe33bnJyvz7+RlPZpq6RQAAkxVGS7Lx+dOLfr73xVEZU9V8DTgRGNmQmnvSh//q7+VPPnKnfPWbD8wHfMuZmSnJu371N+XDf/UPMjk1LW+48XrZurlPPvsvX5Mf/3f/UQ4dPV737TaeHvLZXsU32zEw/SFfEMz3e55n+76LhbMpnMunt+tMayUfYBnH92X7wYH1/QwR6Ts5Ihc8dUDqKfWVfFqIifrrO7FQdaeMbOiUimpNu0bqpCNVzVdt6+FByXm0YgWANHFn/NnXbJbP5EsKJ/VZg7BD68CUdB0ck+LwTPrWEgCYww9k86OnxKl66aofcdTJIl0Hxxu9ZUix1FTyXXHJBXL+OWfJpRfulUsvPE/e9Pafl1Jp4QzhJB/+63+QJ57ZF37vR/7wt6S9vS38+Cfv+pz84Z9/Qn7z9/9MPv4nvz3/9aNjE3JqaPEUXmlrbZFtW1I0V0RbcElHyJeBSr6kFqSWV/Ilbr/6PV3Lf69q+mtFO18DLxnyBd5s2AHYpO/4cKTqSDm2s0+KM2VpnZyRtskZya3wsWTrkUE5ctZmGdnY1biZfBbTQ0qXIKixgkA2VbXWVAa3rL2Kb86xXf2y54Wj848Hqkp287HTcnxn37p/NgDADO7MQuWbElheyVeNkM8+PS8My6ZnF57TeMWcTPa3ydTmNpnqbxWvNTXLowCarPeFEWkZibbpHDm3W4ojJWk/NR35utHdXela10TTpOZR7F3v+NFVfX25XJZPfeYL4du/8avvng/4lJ9+223yT1/6ujz82NNhG9BLLjg3/PgXv/ZN+W9/9OElf+61V14SCQZtF+gz+WwPijIc8gWWz4dM3P6U7btYB1K7dxmVfEiNnQdORN4f3tApz155zsIHgkBapkvSNjEb+KlL6+T0/NvFUnSR6/ynDshDr72kLhXWqavki7XrpJKvkdrHp6VtKvoC9dTm9Yd8alblUH+PbBoYmf/Y9gMnCfkAIEX0IMxryVnbXSbc9iqEfHYpjJVk43PRk5ZcNRPryER4UWa6C2HgN7m5TaY3ttp/kjSApiiOzMiGfdHjTamzIKcv7JWWYRXyLXQNzE970nVoPGzbCaxXakK+1Xr0yedkbHxSdu3YKhedX7VQd8b3v/4G2ffSfrn32w/Nh3w/ftst4SVTUtmuUwv5Urhe6CTNq7N93yVsv+MHsZJ3q6Us5At3merRU90jN5w7mKq9hpTrGJuUDYNjkY8d2bM5+kWOIzNtLeEl+nR+1s5Xjsv5Tx+cf79rdDKc8Xdkz5aab2/aKvli7Tqp5GsovYpvurUoE10LJ8ath2rZWR3y9Z4el/axKZms0c8HADSXO62HfPYuP8Ur+VK4iJDmrgRPn461jtW1jJbDi5qT5buOTPW1zoZ+/W1S6Sw0amsB2MwPpF+16aw63qjlsIGr+sLZe9ObWmVqU4u0DS5Mde19YVjGdndyYgHWzfIl5LV7/qX94f8X7Y0HfMrFZ4I/FfRlWhpDvthstxQGDplp15myF1eedt90g/Q9yqRslyH9duw/GXm/VMzLya0bV/Uzjpy1Rca14OKc5w9LYZm24rWp5LP7qZ6nbb8eYqK++vRWnZt7anbS0KktvTLTEl00234w+vcGALCXqlBIwzy+mrbrDALJlb3UdaQxWdvJKWk/ObWq78l5gXScmJK+J4dk99eOyK5/PSx9j5+aneenWvAlrbcAyDxVwadOFqg2fF6PzGxomX//9PnRriiFqdlqPmC97D2Vap2OnRgI/9/Svynx83MfP3rm69ZqaHgkbPupTE/PyP6DR+TLX/92OLvvta+6Ztnvf8tP/3Lixw8eOSbbt/TL2Fi0uqDWgsnJyFgwVYTjq6FaFvO1KiJV9daI3ykQTwpdreLkHJkOPMnVMaByvYq0Vl+3I+F12l5A1erMFobNKXkV8fyVLWDnZspSGJ+WSnuLeG3FFX1PEHhSKW6QXK4i/kyLiFPfQ6ZbiWZiM15ephbaddfcVKn+ZySq9Xmn6s9rcrogQR1/p0bzAl9avG7pq7jSMjUtrmN3oIJ4YLb18KnIx05s2yCFmYUz71bq5fO2yuWPvjL/fqHsyXlPHZCXLtxR05u9OB1tragWkYqTq1vYWI213Bar4VSirU7dslfX3wdVt3XFk56h6PPMkZ72mt7+J7f0yq6DC8+1tx06JYd2z57piuxwA196K450OHkJJj3xc5Y/YQUQyk1EH8MrriP+ZPRjteRroWIt6adludOVVf8uxdGSbHt8UAozXviy3C/kxFOXovrfnf0/fFv978Y+Z/1Ju83gB7LpyaHIhyrFnBy9ul9ah2ekfXBa2odmwlBvKYXJihQOjIuoi/qxOUdmugoy012U6e7Z/8vtefu7J6GuxxGkm5rBp2bsVZvpLMjgrk6RqseLyfa8TPUUpa1qZl/vvmEZ2USb4LTwg0Dypcaf2JTZkG/yzMp5a+tCml6trXU2Iplc50LGS68ckl/7rf8+//5X7r0/vGzf2i9fuusjYjztyU4qKvmyOJMvBftt/veo3l8rPIMuPz4tnQdUyfxse8/xPf1S6ayOQQ2h5772nuy6gEo+WKz/+LDkqyra1fHj+I7VVfHNGd3QKQObe6T/5MIT/61Hh+T49o0y0V279oT6zDrrK/lcvV0n5cCN0js0LtVZi1rQGt7YWdPrOLF9QyTkK1Q82TQwKqe2rn/uHwCgufJatVtFq4azupKvtMrnI34gW5+cDfgU9ercLfvhRSZX9iPKra6Mb2mTsW0d4XwnLK/30LgUtTB2cG9PePupy+jOznDftI6UzgR+02EVznKrJzk/CBfoqxfpVYvP6e5iONsvDP+6ilJpc9OzFrNefiDdRyfCCt+xbe1S7uA+jPRwvEC2PDMUa9N54pIN8RM0HEdOn9MtbY+eilbzHZ+Use0dDdxqpE1mQ75Gue6qS+XJez+z5u//7Cf/dNEKP9/3paurvsM5Zwp5qX5KFORyknPsfXIeykW3Xx2EG/E7qWN9eWxaAteRVseVXK5+C685/VzDXE5acyn4c1e3mb/wYrFFcuIv93uVKtJ6aHA+zFUPrx0nRmSmq2PZJ9zqW8ql09LedlzaW2bEydV3cXlG8hJUpWItLRXJt9Z/QburVav8qaEZtyBB1cukNrcsbmt6gvWK78mMOyqn8p7saWuVvHZ8gcWCQLYeOx1rLzi2sWfNP3LfZWfLxq8/MR9Uqb+Mc148Jo/ceHHNFgBy2okrpbZWKbXXf8ZZva5jWi1+VVG3XSN+H4j0Dh+L3AynN3XLtHrsrCG1L4c2dcvGwdH5j205MSxHz9nGLmiywkxZOsanZGRDZ/j8v96PpcMTgThORZx29RyZx1IgDfLaiUd+V0FyqtqpzupxHb52cqmq/HKLOQlWeDJVx+FxKU6tr0KoMO3JhgPj4WWmpyhjOztkYken1W1Q60lVW258ZeH5hTK9oSgT53RLTnveHYZ+OzrC2dq5GU/aBmZbfKr/8yucv6juE+2nZ8LLHFWNOdXfKqNnd8v0xpZMB34bnx6S3pdm90fP0Qk5/Prt4rWZu0bViGMV0mPjM0NS1KrXVVvOypb2xDlp020dMv3KqLQOL6zFbTgwJhPndmf6OJEagS+Vtbb1XofMHrXa21rnW2gmmZqerfRrz/pCUhpn8mWhkk/7ndKw3+bmKUZ+k+X2nR9Iy8GT4mj349xUSXLjU+J3tYtRtMeAVHR+DMtAnGjPX9v7xiITeofGpHMsWs1/ZM+Wdf3Mmbai7N+7Xc597vD8x3qGJ8KWoMd39UtdKvkKbqoq+VSIqY7ptHOssyCQTUnz+Org6O7+SMi3YXBM2sanZcrEivuM6B0clSu/83z49zbVVpSnrj5PxjbUtooTQPq5+ky+FFXyzc3lW1HHhCCQ3hejLdxq0RZOXTY9c1omN7fJ+M5OmdzaxvOjKhueG5ZcJfq6c/DSTcsuoPstrkzs7AwvYdv70ZK0DUxLy/CMtAyXwtadK6UqNTuPToYXFcyOnNMt46pSx03H+sxqjgU9VYGrqoTd+NywDFzV19TtAmqhZWhael6MnlCg/t6H9y7x2klV813QK9seWJhHrkLCjiMTs8ceYA0yG/Jt2zK7mHZiYDDx83MfV3PvsixIZcgXfd9J4dBkR5/3l5b+/XpAu8xcw8KxQclNJgf5+ZMjUjIt5AsDsCppmEmjve4N6LQHS+w4sPCEW5lsb5Ghvu51/9yDZ2+VbYcGpH1i4dh03rOHZGDrBvEK639alq9orbHy9i6oKV7C4pnreVJhZltddY1MSLGktbfaXJ8Wmuq+XyrkpVheuL7thwbkpYt21eX6sIwgkAue3D9fFdw2VZJr7n9W9l1yVhjIcnYxgBUJgjAES0u7ziDviBoFX93YJQz5VtBysO3kVNgCstqpyzaG1WNuyRN3xp//P6f+r/pYruQv2TpSdSXqODEVXry8IxM7OmRsZ6fMZLxqrDg8I10HZ+fnzRnb1SEzG5LH9SzKcaTU0xJe5qhKv5aR2cBvLvhTLSiXo0LZzY+eCit+Rvd0y9hZXZmpwuw6MCaOtg7QeWhchs/tlnJ3sVmbBaybU/Gl/9FTkeN0kBM5qQLsZdZhpza3hWGgOjbM2bBvJDyOr+v47Qey4flh6To0LqWuggxc0ScelamZkNmQ74Jz94T/P/vCy4mff2bf7MfPP/N1maWHfCkIi/TfIZWVfHpwmYL9lvh7LBHQuqfHJD84tvjnJ6YlNzEtfoc5lQKxACwNz/nXOZMvKIv4o1X73TnzfGfuQ3NvR94PZr9OvbZNw22IhitOl6Rfa9UZVvHVYLFEVaCpxfIrH9y3cH2lipy974i8eMlZNQ/5POtDPjex/VeF9YC66jsRreKb6GiVqTo9Xqq/ieO7+mT3y8fnP6aC8Jcv2FH3NpGI6x0ck47x2Y4m1bOHLnxyv/ScHpfnL9sjPiE7gGU4lSBsX1jN6kDDccJqvlxVy00VxC0rCMJF22rhLLg9XSt7XhkEYdCXn6pI59EJ6Tw8O9MsiVsJpPvAeHgpt+dlfGeHjO3qXFEQmSpBIH1PDkUW3dW8vKGLNtTkx6tKv6nN7eGlujVodein/l9sbqNq/7nx+WHZ8MKwjO/olJFzuiIhYup4gXTvj1Y5KWr/qErU469aX6cUoJlURarepnPogt6Vhdeqmu/8Xtn6UFU133hZOo5OzgZ9a+EHsvm7A2H1sKIeL7bdf1yOvmZbeOxCumU25Lvqsgulq7NdDh05Ls+98IpcuPfsyOe/cu/94f+vf/V1kmmprOTLQMiX4nad0Q8k7ztnakYKhwfjt4HrhGfazMmfHJbS2VvFGCls16lCtmCNIZ835Ej50Xy8/HbFVx6Iu9WX/DmeOBnvvIzV2X5wIDLbzsvl5NjO2rWTGdrcKwNbeqW/KkjZuf+EHNvdLxPrqTBWZ82nrZIvIUzQf0fU3qaT0QXJwS31qeKbc3RXfyTkU8F33/FhGdi+sa7Xi+WrmKttO3xKOkcn5clrzpNpg06SAmCefMIsGpvbdc5tfyES8i3/fKR1aEZaq2a0KcPn9az8xDHHCRdmSy2uDPW2hEGVah3ZeXhcOo5NxoLUOaqlpAoX1WWyv1UGruwzev5ZLal2d/ptrhbSvdb6/f7qZ09uVZczz+ODIAxm1T7qfmUsscWnqmxTlTbqMrWpJWzlGX5/StZu5qhwerG5hmruYeupKZnu48U67NM6OC3dL8fnfo6cu/IRB6rN8kx3IVLtvWHfsExsX8OxQAV8jwxI57HZgG+OCiG3PnhSjr16Cy2dUy4FS8hrUygU5O0/8ubw7d/544/I5NTCGaufvOtzsu+l/XLtlZfIJRecK6YYHZuQI8dOhpdypSLeMq0Ka8KLPnFd61q72SGfpI6T1ko+LfVKbLVa8aR44GQsvC3v3CRlrdWYOzYVBoLG8FN4hNZ/hxWuzavdV3luHQFf+EMc8Y65MvPtgpSfcyUwaFfDXOq4sv1gdJH7xI5NUinWdmHgxYt3i1d1bFbdefc+dXD5WaOLCQLZ9crxWEsn2yv51IsbvTWnq52AhNpXsnaPTDSkVeecya42Gd7YFfnYDu3vEA2qYj4erWLWdY1OynX3PS2btGrPplAzOtXJW2k8YS+t/EDaj01I9yujYVtCZGcen593JFjJ/DqD6SHlSkK+3n3RY2W5zQ0r7NbMccIWbwNX98uBN+2Sk1f2yVRf65ITz9sHpmXHfcekMLbQEi6t1GOCqg6rpqoaVYDW2A1xpNJeCBf7D33vDjl+Xb9MbVr85Ji2wRnZ+tCA7PrqEel5aUScckqe6waB9GghiG6j2l88jiMFbTr9nCMDV/Wvbv3VcWT4/OjrrOJYWdq1oG5ZfiBbHo4HfHPUiQ+bHzll3N+aei5YXYiB9UnNqTzfuP9h+fBf/cP8++Uzcz3e+Z73z3/s53/qrfK6G65deP8n3yoPPPKEPPbUc/JD7/wFufryi+XYiQF54pl9srG3Wz74/veKSe68+x750Cfumn+/tzu6GFIPgZ/Cdp1ZqOSLhXx2v6BavF2n9mCgBmMfGpCcNkeosqlLvA1d4dcHJ4bFqVogVrP5ymdtlmYL74b6TD7L1+aT5goG+u+4iGDEkWCyRscbFfYddsU7mhN3ly/5szxxaPWHRWw6cVpap6NzUw7vqf0xQrU+PHjuNjn7haPzH9s4OBq2CV1t9VLO8+XCJ16RrUeiFczqz61U43CyGVRQma86blPJV1+bBqJVfJV8ToY31n8AvJr31ju00GZ746lRaZ2cken2FLewsqCKed+lZ8nepw9E/gYLZU+ueGifvLJ3u7xy/o6mVB3kJ8rh2cqtwyXxijmZ3tASzlqa3tgiM70t1ocJadR2clI2PTk039ZKzYs5fv1mmdlIVWgauTPa6zGbW3WuMeRTc+FUwFZtRFXx1WhNRR3nxnd3hhd3siJdR8al89BE2O5Nl5/yZPt9x2f/5pYIm2zX++JIrJ3p4CUbw44+TeM4MrmtI7wUR2ak5+Ux6TwyHptRp6iKv01Pn5YNzw2HVZujjQ4na6zl9Exk3pgysaUtnCE5Rz2Or6s9IdAEKpzWK3RPX9Qr5c7Vt0ee2NYezs5T4d6csAp72wqr+bxAtjxyUjqOL/xdJek4Pvs8bPCyjc2vGPZVW+XBsL20V8jJqcs3ysSO+r/erCs/CFs1q2p79Zz3LHVizfqnsayK/Ss/ZwwNj4bhnK76Y+prqrW0FOVjf/xB+eidn5YvfPWb8rX7HpCeri657Zab5b3v+gnZurl2rblq4Y7bbw23TXn3+z7QmCulXaedtOFuWWnXqdpvquq8an57i5S3bZp9J5eTSn+PFKrOUndHJqQyXZKgtcmpj798QJalmXwqkIv+nGD2EWvuJgmqLtXvLzWa3nfEO+CKdzgn7u4zYV9qHgVRKzu1VnUjvR0y3lOfF50HztsWtr9rnVp48bv3mYMyuLlH/BVW4LVMzchlD78g3SPxs/aO7t684p9jU8tOKvnqS6/QGurrachsvJPbNoZhkgqQqkOnly/cWffrhqpi9mOtOlUVs2ojPLKhUy575IXYrD51kkL38IQ8fdW5Na92XkphvCzbvn18fiFXzT1SC4Zzi4aqCUCpuxgGfmH4t7FFKqpNXUqeD9tGBbKbnh6KLT6p/bbt/hNy8pr+hRZ3WNXieeupaZnqb5VSr3knQ1QvVipeSz5zIV/vC9pJM8WcjO2uzyKm156X4b29YSvQ4kgpbAHZeWQiMhfOLVf9zanF45TJT5al58Xoba5alap2eKZQs/cGrpptu9p1YEy6948ltrZVbVj7nhoS/0yQayu9ik9VVZ64drPs/PqRyByzjc+eDoOO1HSgQqq1DkxJz/6FExOVqY2zLXfXJJzN1yNbVKXdGS2jJWk/MbXs8yNVwLD54YFIcD43h1Sd4LDxmaFwXusctd3qOfHI3pW3FK3P3NTZgG/usUlVGZ7yAhnbXf9iplo/x207ORWe0NN2akpyVbd1M9j/TOuMt/zAzeFltVpbWuS973pHeDFdd1dHeFEK+bz4DWnXmb6wSA+KEls+2i617ToX33e5sUnJawuTgZuTmd2bI7+/qupTYeDc96rP5AdGpLyrX5oq4c85FTP51hDyBRUR70T0G9Vcvfye5b95PvctiVT2zwZ6sZafniPeK7OfU0Gfqu5TswOB9vGpsHqo2pE99RsG77uuvHDRbrnsuy/Of6x1uiR7Xjy2omCjZ3AsXHhX88t0L5+/Q/bv3S5poLcczTOTr65Bz8ZTIw1t1TnHd3NyfEef7Np/Yv5j2w4NhJViaegkYbq+E8PSMpNcxazaqT78mkvkosdfls3HTscqP6/75lPy5LV763ZCRDXVbm7bt08kLopWt+JXlQPq0vPK7CJMpcWdrfKbq/braWluZUcGqPZLKuRQredyizyFUwvZWx48GZ7BPbbH7oqVRs8B2vat2RbdwXMiJ67bbFZQGgTScTTa9rnUs/rqBptDPnUygprHVm303O76z0NynDD0HextkdMX9MrWB05G5tPlVEu3h9Tf3CYZ22PXYupyNj59OnKsUS8BBy81oGIlgdfqyvAFs6GsmlmnwjC94k3Z9MxQGFL6RfterLpnZhJWG1X3OdeRoYs3hO1J56iKKBV42l652MjHV3WiR6m3KH7BvvuGzVQr3f7HFsK4uUBNzT1dz7FmYnuHlJ4fluJ4JdLueXJL26I/VwV8Wx4aCGdb6ttz/FVbZHpTq5Q787LtOycilcObnj0tXtg6ujknEKhODnMB3xz1G/Y/NhhWJY6dbe5xIFf2pHVgWtoHpsKKvaR5q82UgiVk1FOQxpAvA+06UzuTT68kmAvqSmUpHhyI1HCpz5RUG079zHLXlcqm6IOGe3pcnIRF8uZX8on91hDyeSdzYRA3zwnE3baykxrUn3d4aREpXOBJy41lcXd4ycM3y45UXszLzLcKUjmY0wtgkUE79kerWFSrS1VdVE8D2zbIUF/0mLT75WPSNhGtmIkIAtmx/4Rc9Z3nYgGfaq34xLV7ZX+TWujVg6e13Vt1u84gkMJMWfJnWrljcT1D45LX5iKoytJGUS07q6nQadNJA2a/ZcCOZaqYVdj+1NXnyQsX74p1F2+bKsk133omDGXrSVWnbP/W8SUDvsWo71FzStSsph33HZc9XzwYm5WFGgY8RyZk19eOyIYXFg/4Igs7TwzJhmeZy7RSKjyd+zNUT3HVXCC1oG6K4mgpslCpjG/vyFTIV72P5mYSjjQ4yFbB0LEbtoTtEeN/c4PS+/ywcfOZ1qr11FRsFpUKlMpdhs9ocB0Z39UpR163TY7cuFXGtQpLVYmpqtxs1P3KWOQluAoe5ipZ1UkJqtK+2oZ9w+mZRVhHaq7t7i8fku33n5DdXzo8W72axsIFQ3UfHJPCVPTYr0LryhradMZm8+2NnlipWtmqKrFFA74HTyYGfMfOBHzKdF+bnLwq3qVQPW9QFYmN1rV/NGxFupj+J4fCk8NM0nJ6RjY8d1q2f/OYnPUvh2TrwwNhSGlawJeqSj7UiR7y5VIY8oUfDFKzGBrSnqynIZxdtF2n70tx/8nInD2lsnWD+J3JrTlUy878qdH5gHe+mm/HmbaeTRAkvUZMw0lZ2u+wkiBNb9WZ2xSEod1aOK0ihYs8cc/ypPKyK/5x9bO1+1HJkcq+vFQOBpI/2wsDxTRUUWJ1chUvbJ1Z7diu/rC6qK4cR/ZdcpZc/42n5mdhqbOs9z59UJ64/vz4l3u+XPDUAdmesJg+2dEiT1x7flh1kyaeqy2qacf75fbrlQ/um5/1NtNSkImuNhnvapPJzjP/d7VJpcBTYqVPC9RGe9ql1MB21hPd7WG41DO8UAGy54Wjs6G348x3aFaH8UD948Sf56gz99XMy5ENXal43tqsKubDSVXMjiOHztkmYz0dcukjL0ZOMnD9QC56/BXpPj0uL1xyVs2PnWq2lWozp1r6VJvuLYZn/oetC4dmwnAh6byepAqyjc8Nh3PCxi1rDWQyFcRuempQ2gYXKof0doWnL94grYMzYTvBaioQzE9VZs+G5293UbkZT9q0hbnZVlcDcuzVW4247ToPT8Ra9KkqWtt5LbkVhXxqPl7n4ej9e+TsbgkKjX+Boeb2qUrPvicGpftgdJs2Pj8s+emKnLpskxH3mzXzg3DOVDU1q1VVMlrDccJZiSc3tYrzoJqttRBYdh0YD1vY2fQ3pCrNug9E2xmO7epcqEh0HBm8eIPs+NbxSKCpZiqevmhDozfXDkEQVkBVByTqNaM6eUm15lWPnaWe+jxnz5W88Ll2M45hplHVW9WmNrXOVqjWwPiOjnAfV4dHan9PbY5W86m/rzDgOxXdFnUyiQr49FnHatbd4JQX3lfmf0YgsvWhk3L0xm11u9/o2o9OSN8T0WN1EjWXVB3XR7TQs9FyJS+sLqw+Hq+Emq84taEl9pjbCKxoYFFBEEgwPZO6sEjv3KeosCcNv9u8WCVfLqXtOn0pHBmU3HS0tYXX3R4GeYvKu+Jt7JL84MKCljs0JuUtveHnmiKllXyOPlewukIvgT8hEgxrL6C3r/6MfV2uXaR4qSf+Hl8qL7niDyTcuNOOVJ7Ni3cgkMLlFcl1ckZclmw9MhhpA6n2/hFVDdwAKmQ6fPYW2f3y8UjYomajDarj0hnF6ZJc9siL0nM6/oTxVH+PPHP1uakMq9ZTyacCormAb64yTF30QIPwb5ZeNdeoVp36LMme4Vfm3+8emQgvqzXW3S7PXnmOjHcb1MLOkio+VcU8sEQV8/CmbnnwdZeGQV+vdjzacXBAukYm5emrzw3D1lpQAd7W7yQEfBtawsUMteg013IobGE1XJLW09PSMjQTtqmrnkmlU4sNanFDzUnC+hZCwvZLqnJjkddfKuRQi+5qf6nF3kqbGzubu+vwRBicqFBChROI6zg2kRhktw3NhJUwpy9s8gJ5EIQLzvrCZRpOqI1V8lWC8OQrvQVn70sj0QqmnLP2WU21kHPk1BWbwhaR+t+cqkZQf3NqTl/dW4nWiZpt16LNgBy6sNfKFpfKqcs2hkG+OhlFUX85KqQ98tpt1oSx4TxI7TF79OxoEKJCzYmt7ZEFdNW2VAUmnpqji3mqwnHzd+Nz1+aoVq87vnE0bP86fH5Pzf6W1fMv1fVAXe9c+9tRg1sp1l0QSOvQdPx+XavHt9zsbL7Nqm3lGep5bFs4f7dt/nnu1gdPhh+r5uUdOX7D1kVPBhg5tzs8qaPn5YXXxWp+3NYHTsiR12wL57rWk5ohrO7D+i01cPmm8DFInXRSbdOzasSShPfnZjx/KI7MhK1QV1Ktp05gU/tHhbFqTrLXmhc/8GXcm5L4Kdv1xZHTIqNjEzI2PvuEuVypf1moPzAsooUnpRb7e+knhXlhyCfpkd52ndHfIzc2Fftd/ZaClNR8vWUeCFQI6A6OVrW6CcJqvkqdW/MtSu995QRpeC286nad3jHtxVghkFxf7f46VXBXvKIi/qgzG/YNxp8AB5OOlB7JS/HqiuS60nRkwJLtL7VFbhVuTLc3btH3lb07ZMuRwchMrL1PHwhbeaoXaqo65rKHX4jNzFL2n7dNXr5gZyoW0JJUtJMvVhryuWUvtl8Xs1j4N9VWlAPnbZejDQp8m6l1Ylo6xqMvGE81IeQ7sX2j7H3mQKxt6Gp1jU7Ktd98Wg6cty2cTxmk5YSnGlPVrlsPrb6KWVV4PnrDhXLeM4cicxQVFcp+z71PysGzt8qBvdtjczVXo2VoOpwlog+yn9rYEs4b0YMg9f50X2t4mf1AIIWJypnAb3q22q9qMXh2PtVA2CrN1gXhpgqCsMpk43OnFw1TJ/taZfCyjdG2eY4ThlGVtrz0PT4YWfRpH5iW7fcdl+Ov2hwulGDpKrlqveqM/02tMn1mMbAZVJVmftqLh3wpoId8Sm7GF689F6m07NLO3h87q1P8hO9tqLm/uRZX+p4civzNdRyfCmedHv+ezdYdB9UJBqoqu9pMd0HGzrK3QlsFXOqEiOqqGxXiWDOzLgjCsK7aZH9rYuvUoYt6pf3E5HworoJNdcLIKVXRjflZxGqOpt4CWaduQ1URr04EGbiiLwxR1zP3VYV76vG4+ueritlSZ6GpjzHNVBwtx56PqjnPtaROWlMnY1SHS6q18lRfqzjebCind0vwCrmwNbOax7ooVT17yUZxp2bb189Rj9fbHjghR2/cWrfjf2G0JFsePBFr364CzbnZsKr7ipoVWE0Ff2q99/SFvQ1d5+g6MCabnhxctN28n5OwHWoY7PW3Sam7kLh9B3fnGx7y8WrXInfefY/c8vafDy8HDx+T0dH6ln5WDixUFCgzxbyUWwzvab7WkC9tPay1nohpqVLU227p+019PpzDt4Izl4JiXrwN0UGzYWWft/6qsTXxU3p0XkXIp+62eqvOerXOzHUHUryqIsVry+L0JmxUeTboU2Eg0k8FaCoQqHZ4T2NDHa/gyksX7Yp8rH1yRna/cjycc3X1/c/GAj7PzclTV58rL1+4K7UB33radW4/eFIKq53fJ/FZYxc+uV+6hhvfbqPZrTpVNddYb+MXZv28K4f3bK3Jz1ItcM9+4ahc982nM7EP12LL0cHI38lqqphVcPrCpWfJ01edGx6PqqnwbM9Lx+RV//bE7Ky+Ncx9Umf9qhadsYCvrzUx4EvkOFLuLMj47k45dUWfHH7DDhnRqgnUQoqaTZKW2VT1lit7YftU1Y5wxzeOhbO9kgK+cpsrx6/tl+M3bFl0LpZaiD9x/eZwhky1ltFSOPtELW5igZq7pyr2FqNuxc3fPSWuFrI1UueR8VjgUu62fw1B8Qu5WFcgfUZozyuj8xVY81Ws5zZutu1yxs7ulhPX9oeLlNVUtYgK11WrUZuoQEivGFPVRrY/L1aVn6rlW7XwZIpp8/ePeuyuPplGWaySVT02zM3pm6NCco79s9qPT8qObx6LBXzquHJ6b08YuOnU16o2qJueGAyrvlZVpTYwJdu+dTycf1wd8Jn0GNNMehWfakVd85ORcmo2X/QxQz3ut5+YCrtarCngm+M4MnB1X3iiXDX196qCZH0EUi3kJ8uz7fa15/KjZ3VGWiqP7O2RU+rYrVHB9UbVvrMBz9Gdih++Huh/PB7wqRbQw+d2hx1EDvzA7rBqcuS8ntlWp4s83ujPbRuBU+Mscsftt8ptt9wcvv3u932grtcV+L5UDkZDvvGudLQ7SprPspLZHVZJayXfMk/Wyzv7JFjF7KDK5l5xT48vVPP5geRPjUmlqj1e02by2XUS5eJyK5/J5w854Xy8au72+g7fzvUGUrymEl535QVXgvGqDa6cqei7qhJ+HdJrp1btNdXeIkNLtfytk+M7NoWVZ9XtOM9+/rDoXW/nKsyevO78TLQiXEu7TtXOedcr0ecxg/09cnRXv3SOTUrH+JS0j01L+8T0/CzEpfQfOy1jvdFFiLTZdDLawmtwc3PaoyivnL9DKgVXegfHzszPDRaeq6kxyuqfQJutfKYqX4XhrVPRYKBzbEqu+dYzcvCcbbL//B31n7VpiyCQnfv1KuaeVVcxn9ixKZxvedkjL0j7RHTxQe0PNatvx/4T4ay+kY0rq65QC02qHVH1YvlcNYAKhdbTikqdyTzb0nNhW1Urqt4XRmT4fItmONW5OkZVQBYmypI/8//c+0u1P51rTagWqFRrqJUEsZNb28NZcurs9OqfXZjyZiv6rt+8roqENNHbYKrFPXU7V1cyqdCp/9GBMAhv+DHcC6TjaPSkqfEdKXrsdJywmq+6UrF6Lp9qqdetVTCN7+yQSp3boK3W5PYOOd7ihjOdqgOy4nhZdtx3LFzEtCGYVdUhqrqt2vi2dpnuS0GVkWqxevmmMGyZ/1AlCGdVqdaqJtOr+Eod+dmZYotQC/2qQrm6PenGZ07Lie9JmA2c4fl71WGDCurV/fz0+b2y4YXh8PmLvqbZs39MOk5Mhu0Qp7Ys8XoxCKTt5FR4XdXPixYTPsZ8dyA8gcf2MH0tFY7VpjfVp+uPammu2m/npxYeX9Tx2km4L4QB3ypazqvnz+p5tHp+pY75c1R4qAKu8PhSo/2qKtu33n8idjKMatOrjm/69ahK5SAn0q/N7et9eTRcq1VdIep1n8uPl2XLwyelZTTeNUmNB1B/cza0ETZ/CzGvu6sjvCiFfF58v36L3/7J07FWnWlZSFysXWeaxH6ftDz4LtFqq9zXLd4qF2CDloJ4PR2Sr5r1kz81IpX+7sbPMdT+nOtRvdYMsd9jicOWdySabDrdfkPm4qk/D3dTILmeipQfz4t/umqjPUdKj+aleGVFchvSdZzArMJMWTYfiz6RPKyqWJpx3HQcef7Ss8Kqo7lrTwr4VAtPVcFXKdrfQnsl9FZ/K2njqFqftk6XY8HR6IZOGZCNkTBQBX0q8Fsq/NtQNcM1rS0be7XfsRnz+KpPyDp47rbwslrqLNQ9Lx6Vs148Gvn7UW+ryrL+E6fl2SvOCe8LWdc9PBGrYj5y1toW1Sa62+Wh11wqZ+87HAaHenjePTIp13z72bAd64sX7ZKZtsUXJNpOTsqWBwfCasDIdWxpk5PX1mBuVM4JX6zvvPdoJFTa8NywzPS2LLkYmUaqMkRVTqgzufNnwjy9Mmal1AL70CUbpNK+uscnNUNGzYRRrVmrW1Sp7dh2/3E5eXV/GEzU+wzutoFpaT85GS54qgX18V2dMnjJBmNeS+kh38S29jBQVQuP1VUX6u2eF0fDM+MbqX1gKnbfmUhJq845S4V8KnCqrlZQb6kZWSZSrcZUezb1N1f9+6i3t993LAxY1NcYKwhk01NDsdmH6viTFur2V4v9XYfGI8cAVfk2N5/LNOoxRFUcVQtbjC5xDFWVUOpkhepAS514o45rRt8H6zl/79GBsI2ubqanGM6snT9xwJ1twzuxrUP6Hj8lrcPRNVwVEm174KSM7egIK1wjbYODQNqPqxOchmPfV63Skgv3kWoZO6f91HT2TowK5/FFQ9DpjXW6f6rZfOf1SP+TC2sUyQHf1tlKslVSbTnVyRyqSrQ6gOs8OimV1tMylFBRt1rh7MAHTkhxIlqFqqoIT17Tt+gxYWyPWot1pO+xaCt3FVqroE/Nl631c7L2YxOy+dFTsc4hysg5XTJ48UZrCmdSsoyMWqvsPxZ5f8wRKadlMdEJz/9OdciX1kq+pCpMxetoXfMsvYqqVNAWB93B6BmBTZnJl5ajs16RuMiaUVAS8U81topP5+RFCirM26jX5s8GfZ6qNETqbD8UXUj2co4c29W8ORDjPR1ydPfiZ+gePGerPH79BZkJ+BS9DaC7XFvlIJDdL0Wr+E5v7EoMdVS7wYmudhnYvlFeuWCnPHXNXnnwpsvk8e+5IBaGuGXzWyStlQox3aq/A/WQ1Ixq1lpQAZDalw+/5hIZSzhBTc0dVFV95z1zUHLNatFtCFVdp1cxhxWc62g7/OIlZ8mDr79UTi3yc7YcHQpbeIZVyglVuWphL6zg0wO+re3hwta6A765bW3Ly4lr+iOvCWbbUA1Y165uvRV7quWmqgRTi8dqoW8tAZ9qGabOJj8ZLj6u7fGp0lmQI6/dJtO90QUr1TJpy8MD0v1KjU+2UPMax8vS89KIbP32cdnzxYOy9aGT0n1gPKwiVLeDqkjpfqUJrwsSqG2tXmSdn3XnOGEIqmat6a391EzLRlItXPXFPNOq2Go9l28u5FOvIXtejlbdTG5rX7RVrQlUtZ76m9Nb/qmgcuv9x6Xj6OLzH5tNhRMqaKg2cl73mo8/phq8eENYsVtNtWFUVbMmUu1qq18xe3knDCqXo8JwFVpU2/jMUObaaKs2pTu+eTQx4Bvb2SFHX7M18Ziqgp6jr90WnpSS1CKw68iE7Pq3I9KhjtGBqriekB33Hg0f8xYL+Cqtbtg+8dD37QwDIfV+NXVilGrNmhX5qUps3myt5/FVU23m9dt8jvpbOfrqtQV88z+jPR9W/Pt5J1Y1p54XrYuad/3wQOy+pVoQr6Qbx9juLhm4qi+2bt99cHy2vX6txm35gWx8eki2PjQQC/jU35F6nTB46Sar1tPTsoyMGgo8XyqHoq17Tlh0p15LNV/aQz61iJkKCWdsBHlXSmpBfI1ncwRtLeJ1Rc+EK5waqd0Dx5rbdabkPqmXIelh5hnesdxsc/mq73O3NjbkUxxXpHBFRXJ92nX7jpQfy4unBZGwXBCE7TGrndy+qekB2ksX7pRyIfqkXoWPz1x5jrx48e5FT3jISiWfu0wl36aTw9I5Hn1xvNqKsJENneFtPke9taEZJ4A0SN+J6Dy+kQ1dUinYvTCrAvOHX3OxvKzac+rP+0Rk98vH5fp7n5KeFO/XpRRKZdmiVTEf2V2bKubJzjZ54voL5LHrz5eJzvhZzipQVrMSX/X1J2TL4YVZeDuHAtn+8ClxtD/x8e3tYeVdrV9kT/e3ydBF0bPQVWWfatdj6gJqrakKPn3RaiWCM7NoVPvUgcs3yuGbttekskRVGajWnapqs5ra831PDsnGp4bC4EpVi6xldoz6HlUpuunJQdn11SOy62tHwvZ3KizQ73dzVMs01XKq2fQATYV6032t87fbyaujC2KqwmnzIwNhkNsI6qx9vYJHtapMm8VCvk71tzQTvROpmVmmUyc8qOBAX6xW4bq6/7Ro7elMoP6ONz0dffxSi+GmVk2uh/rbHrooWp2oKmN617sIX6cKNPWYoi/Wr6Rts/qa6vlcSuvpknQci3YbyOr8vVOXbJgNPZYKRxwnnP8ZPh6feWyIPb/57ik560uHwgAmqS3h3Dxd9bh+8Ht3zrZPdHOzjzFJJ0apxxgDHh8boVWfhVfMhTOf60Xd7knHNFVZqaqwa9FSWYWE4Ql02tNr9byoS1XOrWam45wgkP7HT0n7yejzgUrbbPWgqiJcCdVJIezeoW1b1+GJ8IS89a7XutOVsFNE70vxE8hUGHnkddus7ERg96t31IV3fFCkFD3gn8w5sjltIV9VsJe2kM/RB58Z0mJmvYJi9JCl9lpJtdVb50JkOJtvbOFByCl74ay+Sm9j2mCou593OPqEzSmkdCaft8jvfzT6hbnNflhZ1wxh0Hd5RcpP5sUfyEWDvsfzIpdXxO1P1zEjq1Swoc/uOryn+Y92KmR87vKz5ZLvvhjm5NOtRXny2vNSPxNuMRVXW1BbpvrqLK2KT80KW211kprZpoKujVUtLFW126mt6WkDFWl5pc/ja8Js2npQJzmpGXwDWzeEc+G6q9pzK+2TM3LN/c/KoT2b5eULd8UC5TTbdvBUvIp5d22rmIc298qDfd3hyRRn7zsihXL0b1e11L3ksZdlx/4O6e4sy/WHg1g7InXm+sCVfXU7i3bkvJ5wBk31WfPqzGO1gDyo5oWkWRBI18HFQ261sKIqBsodBSl3LPxfUf+rSoI67RO12KsWnfqeHAyr6vQzzNVljjoDXYVdXqsbhi/q//D9qo+pE2PaTk2HLTjV//qcx+Woij4V9DX1/qAqL/RWndvbI6/xVGg9fH5PpOWdqkjsf3xwNiSv8+tBtRhffduq+49qIZc2XovWXUC1/PWD2EKhCsBLvfWr8qilsHXbDVvCBfvqY2EYFD92Sg6/fvuKgppG6VLVtlrFtap4M2kba2nsLNWycywMveb07hsJK3nV8dgUqq1odTWMemv07JXN4VVGz+oKq6dVy+g5G549HVby21RJs2pBEO7Pjc9HT7ibn793TX94fF8pdZ9Qf88qcFVVStUthJXF5uqqx3X1GDK2szPx9latU09f2BubAasCl6bMgG2wVq0yPjwxos6/s/rbV9Wxc38T6vnNsVdvqWmFuDpBSz3PVu0qq/U/MRg+D1Pz6NQJRSo4Vq3Vl6vC2/jsaek6FJ8frAK+1c60m9jeISccJzz5rro1s2or6vgDaz4BsPXUtGx+5GTsxBxFtbZVLUFtfTwh5EOMdyC6ODbd1iIzXiXdlXwNrtqqu7S262wtSqW3U/LD4+E+LO/cJH7H+vtgq5+hWn66EwsP3PmBYan0NKYHvH88J8GoFnLplWQpnskXjDoSTOSa2qozabsLl1Wk/LQr/onq3vWOlJ/Ii1xaEXdLyo4bGaRX8Y32dBgTpA1s2ygP3HS5tE3OhK0ma9Wizkae9iTbTWjxN6f79Jj0Do3FWpyu5UXY6b7uaMh3Kp1z+TrGpqRVm8O8npaNJlLz4h658WLZ9fKxMGyqbk2q7Np/UvpOjoThutrv2ahijrbqPLltY11a86ug9fDZW+X4jk1yzvNHZPtBNa8v+jW9wxPyqvjalozu7qzL7I0I1erwqn7Z+Y2jkYVFNftDLWaoM4nTqmVoJlYxcPr8nnDhSgV6FbUY06zXEDlHTl2+SSqt+cSFz/kvqwRSrFREtJkva6WCKbWQ6XhBGP5Wz1obO6trXa2x1qM4UorNtRlXC7Ga0+f3hotXbVVzg1T4prZ/9Ozuhs4LnNzcFp3/lOJKPvW766GTmpVoE/U888S18XBdHRdV69ewZZkJgkC690efj6ljlo0VFyvmzB4Pd9x7bGFmtx+E1c3Hv6dJc8ST9ovWUnlya/vqQkg1U/GiDWGV2Rx13Os+UP/jl5Hz97qLcuL6/rW1oHWc8DFrckub9D0xJB3HF6+IVO161fEqbP+8zGP+YjNge18ckeG96ThBcDENm8enHZeP3rB1tnLXERk+t2fVQdlKqOe6qrJt07PR51sqWFPPJ9RFnUCk5p6q4+186KdOZKm6z3SrE7FeHI21vVTHqbUGk6rt9fHrN8uWh1Qr/4WPq/v0zq8fDasp1ck3XtEVvzj7f3ii15m3/ZbcwjpKEEjPS6NhEFkdGoafciScWzm6p8uMY+oaEfIhIvA8qRyKvugfV/NMTqdrYStQf+NVa4Tpb9dp70FKV97VJ5UtvbMH6hqeca9m87mvLDxZyZUq4o5OSXITg9oJKiLlF6O/h9MeiLszHSFfrCl0wq+lV/E5rYHkNjT/bzIM+i71pOyoIFYL+p7Kz5Ylbs5Ge4o0ahuflk0DI8ZV8VWb6mgNL1m3mnadZ72onajUWpQTO9a2MHW6r0vk+YX3O8empDBTlnKLOWdN10LfyegLuqm2okx0NqaSvZHUc6GD520PqzEveuxl6RmOLkirQP3K7zwnT167t64Vmy1TM7L36YNSnCnLgfO2yeCWxleHqsrNNq2K+cieLXWvUN532R45smdz+PtvXCY0V2f0n7p8Y0NeaAeF2cXt7fcdi1Qi9T0xKKXu4pqDHdXCSp2BrRbE1EJI2HLNoOfkarZJtVJHfrZdmimLG44jwxf0hi2eVDWaviBTK6rNnwqk1GLoVF9beH9QcxnV/KK5+4O6RVR1p6qOaMbtowdoquJiRptdGMo5YUu1nfcejVRrqGoOtTBX6qlPZZm6r7cNaK06Uxq6xEK+aS9c4K4WVj5ssvD525lwvThajoTcPS+PycTWjvn2sM1eaNdPThi60KDjVp2ov93Rc1Sl28KJbKodXvuxSZnc3vy/NVUprZ+IMHLOyqv45kxsaw/nslbP8up9fjic62drZc2igiCcQdyW0BK3VtVEXms+nIGmZvCpNtXVlUszXQUZPr83VhW+pDMzYFW4oqr45mx4djgMvaw87q2AantdHIuuDDbqd1Wz8wYvq/9JFqqzRX7KC09yW4w6uUC1N5+bh6q6KUxtag0fG1QRRt9TQ7HgTD0nmVlnIDq1pV1OfM8W2aJmdlc9Ty+Ol8PLcnzXme3s4MyeOJDUovbktZvDk/tsl7KjZLqNjk3IkWMnw0u5UhHPr30I4B09JaKdIT/R1S5pk+qZfEG81VGqnvQ6jgRqgbXGLbX8zjbx26IvlgsDo7N9JuqocsAVmYnun/zeSrwCzlb6bvKj87NVTuad0Kv4PGPusmo7Cpd44TZFhEGfK/6xxp6hXJwuyVkvHpVznjss2w4OSO/gqLSohdo0HcMaZMfBaBWfmoGn5vHBPJ5WxRi260y4z7ePT0nfidORjx06Z8ua59KO9XRIRbtu1bIzbdQMw2qDm9O9WKbmxamqvhcu3i2edt9Qv/X5Tx2oX4eHIJBLHn1JNh8/Lb2nx+Xyh14Ij+ONplfxjXW3y2hvYxYJ1euKx77nAnn8ur0y2Z78Ynrk7MYFfHNUkKcWt6uphQTVIiintRldTn6yEi6m7f7Xw+GZz22DM2ErP3XmsEnVA2rRT5+dZOLf/vjuLjmq5vRtbQvDLXUm+Xqov24VeKlg4PDrt8nB798pp67sk8ltHWHAN7eops/CUa0+1cykhguCWMgXBmiL7Ct1ln/Y4lafr/bwwNrm66xA59GJSAirFtRUFU8WQr5wkVFb/A2r+Az8W1oRxwlnf+l/Z/2Pnarb/Wc11JyoaqXOfGqDBd3QBRvCdn3V1KK6CftFtdmsNtNdWNt+cRwZumRj5EP5kh8L0tNAnRihB3zqMDqo5u+pGas1DDVV28PDb9ghQxf0hl0Sjl/XL0du2j5bAbvKY9XsfL6+TM3n06v41GPcTJMq++vGcWTwso1y8spN4XMkfRbeYt0UOk5MhTP89IBPGbhiU82eC6i2ose/Z0t4269WzgvCavukgE+11j7yuu2pCPgUKvkscufd98iHPnHX/Pu93as/M2Y5lf3RM+BzmzeIt855ZyZKdciXtDBl0FnDxlLtPzf3SktV+77cTFnyrnqBf7guV+lPqfa4WpvOjb7k+lJ0f9R7cqmngOpDZ+6S4cy7SvX9MxB3W/NfqFRTh4v8RV54Wox3uPqFlSP+s0XZsbNbHt5e/+3IlypyzbeeiVVfzM1Smm5vkal2Vfml/q96u2353ulZk/M82XZooRWMcnRXfziHDeZX8qnDijqTUH+Sv/ul45GTXMp5V47uXnt1pgoHhzd1hW0cq1t2pikMVseVnqHxeMiXdo4jh87ZKqe29MqFj78iG6pavKrWpSr4rEc1X/fwhPRW3d7q/nrJd1+SB193acMqRFsnpmMzGMMq5kYuSKuFhC0bZKi/R3a+ckL2vHBECmcWKYfO7ZLhixsb8FW3K2o5PRM5i1m1qut/9FQ4I265bSqMlaT3hZEwkEmqOlNVfarlmJpz12xqG/X5aeO7ml8NspiZTa1yYm7BWJ3QWAnCKgJVRaXaJYaXaW/2Y9rH1V5TbZvmq/X628IZZMsZObdbug+OhWe2z1ELWVOb2xr6vKp1cEby096qquTUotrwOd2R+YVqcUtVpw5c3V/zbew8rLXq3NqevqqbM/SQRVfqKoT3M5up9menL+oN7+9z1ALpxmdON3U2paqm6TymnZxwlpknJ9SDOglBtZPb8sjCaxh1bFAzQ/VgrJHUY191+0Zl9JzuNe8XFQ5ObGkLw4M5qsWeaqOnKtPSou3kdGxumZoxtpr5e6uhHvdUdXwtTPe1hZX/1e201X1RzXUzpoVsHefx6W0qU8NxwhOr1EWdPKB+77aB6fAkJ9U2fDW/sTqRSv2cWlIVg6qjwtYHTobzktcjUF17LugN51Cm6f6aniNkBtxx+61y2y03h2+/+30fqPnPD8oV8Y5EKxvcs7aKjDfhjMU6S23IV/GkcCI+t2KtVQxZ43e3i99SCMO9OS0zW0WCp+tyfZUXXBG/6r7oBJI/v5Kmx5jkikT1eJxLbtWZ2xiIY+Dr4jDou+BM0Hcw+uL+ksNb5EjOE4meNF1zZ+87nBjwKWq+VMf4dHjRqaPbTGsxDPxObN8kR3f3p+qJzFpsOTIkBa0y4+hZZrXqxIJKQuW2mstXHcqqKtetR6IDw1VbQD0gXC01n00P+dJEtaytPhqoyrZMzKQ7Q7XDffSGC+Xa+56R7pGFhcOd+0/UJeRTP1fXMlMOq/tUdVsjjs07Dg7EwnD12NAM6vnpoXO3yaEdG2XmwD5xWqflnLN6Jd/Ex6jBSzZKy/BMpFWYmpXT8+KojCwyY0sFg70vDCfO1Knm+BIuxqoqmWbrOhithlGhhDWLp6qrR8GRciEXhhFLCgLJVXzxVeC0yvuVCqkGL94gWx45FQk6VMVKI2cPdR6JnoihWqyVu5evIBi6eENYJdIysnBf7jo8EYactZw1mZ+ItnZMc6vOpEo+ndVVfFVGzukO5zlWV7CoEyDCdop1CiGW03VoPDyOVo9gGUuYTZlmqrXi5IHW+XZ5ijomqXaWKzkuNKKKT51Usd5jgGpv3X5iamEGoRfIhudHZuf0pkTbqehzhtGzu5r2t7UWKhwJ5/NV3RdVC9mlni/ZSp1sU216UzqqvpZ7DjS1uT28zJ1kofa3CvzC0E+rYNc7ctRrLq1q/Xno5h3h85u5k7lyJV/cknp79n+1rapl+WJt3tUxSrWdVSdtpY0lz+ShdHd1hBelkM+LX+N2nd6RARGv6mc6jri7Nos8uz/9IZ9ZhUOr5/uSPzUq+ZPDsRZT4XtpPMukHhwnnM1XPLTwYj7vdYo3U/vFGP+0I/5JbabDTl9yaXudkhTyqWwlP1vJ6A/prTrN/WMMg769Z4K+/dF998aDvjzfflyOnLejLtfdMTopO/dHT8JYKedMZYq6bBgcC49/x1TQl2E7qip2lcH+HmbfWdSuU3E9PzIzVVUDqeq+OarN1OEazBg7vSkaeLVPzoQz1WbaWlLZqlPNIcxcRavjyOGzt8jFj708/yE1L061f1WtPWtFBdGbj8Zb2cxd354Xj8r+vfV5DJmT8/yw1XO147v6xK9xC/TVqhTzcmBDXjaYsDDuOuF8vp3f0GaaPXs6nIE2vwAXBOHZzaqFmFrsWKnOQ+MyfF63lLua1+apMFqKhJjzrTrTyHHEL7jranE2/cpYJOjo3TcSLqg3JBRVJ3EdjZ5wO75zhYvnOXVfnp3Pp1pqzVHVfKot1bIB6SpadVabq5pMK7+Yq25KEqHayY4bMB+tJtTsrSv7Zu8/VVW/qm2navvX8ErNIJCuA9GTE8a3dYStAzNFVcJfvknavn5kfg1LLWT3PzEoR2/cuqqA2fH8cNFeBRheqxsGpnMti1dVXalV8qqZuuutdlaB5djuzsjsWHVyiqrmW+ucXJOotpYto9GQRJ2AYV1r36v7Zce9RyKz/jY+dzps96gq8NNA/Z2ok7+qqfmDWaMqQVVbc3VRVMeE1sGp2dBvYDo8CUoZ2dMVVhzX82QXddxXz8+WPcmrrEI/P/x7C0PAM8/rJ7a2p/axI2Ov4rGUyoFjkffdrZvEabH/ATRJkEtJJV8QiDs4Kq3PHZbC8dOJM2T8rjYRKvlWzOvtFF9rUZsbOV9qSd3dys9rDyqFQPLnpLCH+WKVfGEVn3Yb5APJ9Zsb8s0Hfed64p4d31cXPHdE+o4lL+CuSxDMzojS2nOOd7XF5kmttZIkS9TCfXXFznyrOhhLhU5BQiXf/NtlLxbcHtvZJ6XW9T+HGe9uD+c1VktNNV8QyEatbWMmWnUmOLlto5SK0cf+HWs8sWIx2w8OSG6J55tnP39Eeut839p8bEiK5eg8iiNUMceoeWzqDF993oxqkeZOVsJZdju+cUy2fefEogGfaieszmQ+/LptkdbC6q2Nz8a7bjSSakGptx9McyizLo4jpy7dGLkvqMBDtS1s1MwmvSVVOENphSodhXAmjmjbv/nhk+HCZS3oC/wTagEwzSeYOo54LcnPv1WAn6bfvdJZCCuqqhWmvEgbz0ZRQVRxvBJv1ZlBKqDXZ4aqExHUSSTLUYvdnQfHZMuDJ+WsLx6Sbd85KRteGJG+J4dm58g+dzoM7laq68B4rPWzCuJqQbXSizx+BhKGzju/dlj6Hj8lHUfGxZ2Oz9iygT6LT/2e0xbOBFPhcOz5UjD7fGk19yOTtQyXIhVh4VxfC/dVPfb9xI5OOXVFnxz6vp1y4I2zl7Clswkn7TlOGEyq46UKnFU4qR4z1CWtAZ9CJR9CQaks3tFomyt3z9bU3jrWt+tUZyWMTErh/2/vPsAbO6v8j5+rZknuvc14es+k916AFAhJ2AAJPfAngQUCCyzLUkNbytJbNqEkQIAMJCSQkAQCqaRPkkkmM5le3XuTbfX/874ee3SvZI+LZFnS9/M8eizLsn0tyVfSPe/5ndZusQUSv7BRL7DCZUUSrE1+3FROdPM1dR2+yF8pkb5hsSfpplQRldFB85tDVeAz5mYcz9xK8B44qo4pREXCLZYuvpqIGBnwfKt2H85lYTFsUQntNj+Nrt68T54pK0zqbCV1UDZ2XpRyYFmt7F21QO8LXP6geIb84vGNHProF8/Q6HlXgv1DYf+Qvq6KqctF1TH/24o/z5mzhY2MOqDmsInj0Mwua5Gv7kC7OGM+V8/oB5Ym6TWMYehuvqrWHlORr3Vh5nfDFvUMxhV8cvV/QRWSWxZWyqLdhxe81TZ2yp7VC2Yd+aoYkUhcIbqvJF8K+3zjo2v1fL4XUzufr96yyKO7oiip3YrZREX49KwukbJthwtyagVww0ONkyaAqJk6KnKrb0nR+EEENdutdMfhgnp+65CO+FTdVHMuHJWCg5aZVg0FWVWYSLZASV58R0mjT89XTPV9aC2gqQOLIe/09g/qIFx/x4hp+1UHSdmW2c9XU12h1siuKXcaZnhkZ2znylixPJkxqPOF2p/lt/jEExNXV7R/NLZzLqPOrF18gQJHTkTmTURF4an9w1j3jFK+tUfPwzTNHI1GxTkQlPy2IfG2Duvnnon29mpBgXqu0vPv1PPY0mJ9IH9CkagU7zMvTlLdNWFPcg4zq5+jYmNVETKWKva6BgelaP9gzGPBLcMVbv0xE6Kn1QKOWGq7M/V5WCUcqOjO2Nc5aj6fnmd8cubP51PdrrFUJ+l0O15zQSb83+UC7gVooYPt+kl6nM0Qx4KquJXz2SKTi3y2wWFxtnSLbYLZXEqoJF9C1aUSTdFBomwXLi2QaFuvGDEHjcP7nWIvnf2K12hIJLTL/GLZyI+IvX5+d7DNaiafWvqkqs5jIoZEVMPbiJExUZ2JOJZERAUGRnYf/j9TRTXVdbflhOVJ+R22UFiWbz1oumzY45L9y+tGPzEM3a2kTn1l8asmVYeTKvgd+8x2U8FPFQ7Hf0YuiUbj4vLa61IbJ4HkCNvtpiKf41AHgiqeNOxpNV23o6ZUhpNYuFAz6kxFvq7+0ZbsDH/cxM4aVFR38Ig3dw+YqY62ht0t4we/HKGwXhSQjHmdla09evZerO3rF+uZiMu2Nc7JfL6CPp8U95oLBnTxHfkgqjogmt92+GDcRAU+dYBfFfNUB4M1xq53WbEU7RuIi/9sOa16zvcjqsBo7QzTRT5Mqmd1qY6ljI29LH+lS5rPrE3ZfWiEIvr+SkYBTUVnqbl5sQU5NV9NHRQfmkW8pLUIGfLYdUxbthudy2fep6v//9lGFM7bSD4V2/mIJbbzpU45eG79nBzs1t1nLb74Lr4Mfx02G+qx1rm+TGqfObyASD3HqOeWzvXlulPM2zqk59rFFgKnQt3PJbv6pWjPgAwsKtBdg4kKd2r/5Bg2d2upDvZkUr+78MCgOPwTd4VlYtHPmgKgtjWTqa5L1U0a+3ep106qYNxn6TrNNLFx3UouPMchc82/vR3SImyN6qyrFMPllGiS5/7NF7H1htEL5n+Rzxj2i7OlR+yD5lU/scKFHgnWlEo0S2YFpY3NJqHKYl1MHRPpdEjoYEgcC2f3PxHaYxcJmh+AjpWqK0yyl/rbYl+XR0a7GWMZBRExCuf//6GV0RCStk6/VPcdPkBW3dItHc1d0l43+8HgqqtEzdKLtWttw5RnZoWddhksztdRdAtiukhUoSsXi3yFfUOS7zO/qWpLwv2E1FOdfBLzHmusk08VYazFE9XpmkyqyBfLPRIc7YbN8A4o6zy+XO3iG6MKnJ3VJVLZ1muKN25WM0xneSBRzYyM1VtaoPfNKg62pGtAF/tM8/l2Nsu+lcmdz2ed66q6mDurSXs44sHt4yrE9VjLhAdJg/kOfRBSzTJS8/wSUQfB1XVUl8WYsRkmc9kJk6gbRh1YVJGOmJzqZulZWWK6D909AV3kSlX3ljo4b4rBG4vCnAFVeG47oVLqH2+xFGq6pKnENe3uwNEfGpWCJnM84KCKEs2Bwstokc/SwZukiML5SO0juteW6kjHMaq4U76lWzqPTf7seqvCxkHTAouoTfRczFw3XO2VwVqvFLQcXgygCl0FTeYFCZNR1woWOuM6chU167p474BepKJub/U8piJcx3/XHnMX30iJS/xJnlWmnj/VghjVVe/pHJ7S32Ut+qkozOihkx4BoD+OXWYbPe84/PVIJDo6W7QhNbF+Kvbb6QtlVZFPz/A8vkLqH2kWh2VBk57Pl6kz7KJRyes2HzvIxXl8yBzZfFgZUxQdCUi41dzZ4FiUvVGdiTr5JpuRkm5GICjOA+3i3tk8YYEv4nGJf2mNBJbUUOBLklBZ/MDo0HaHhPbaZlwTjvhEwgfNP9NWERF7+fx9/KXimSbqF4l0WKI66yIZeUxAbfOrC9plyPL6X3XzOS2Fh+ly+0Z0V0ms7vIi3aU0XR21ZQkjO3NNdbM5qnPYmyf9JdkfK5UtnXyx7KqTLxqVht3mLr6eskLpL03ugZ+hfLcuiMRShZhM5hoO6P1ArK6qzF5pmwzWzraCgWEpscQlz6SDrqTHfCC8cXH16BnDkK3HLo17fC3Zkdz5fI5gKC6qWP2t1hnViKdiz9pOqpSI5bbyFzl10eTg+fWjHSUTFPjGqOizkCX2TB38msuFhg5fULyW7gG6+KZORbCqoq71PlQdd6lgLaANV6qOlJkfcA4WuXRHXyzV1Vn1fKc50WeK8rr9ej5brMH63Ci86Gi9GCpS0NrBm21UEdNaiFARsJ5282uJpItG4xYnDNbmmyMpc5j6n46dW6ccqRCmrq/iVtuPrZD9Fy6UxvPq5eC5dTJQn58wyUuF8qj7euFDTVL5fMdoTG+vXzyWDif1f5AKat+lYh/3Xdyg59x2rS0VX7VHIo6pvYZRCxtUl6MqTLsGg5LXF9Db7u0Y0d2IhU0+XRAs3jOgo0HLd/dL1au9svDhJrGPJH+unCpWWhcJqAjITKc6JjsSzOerUvOMhzNzdqKrPyh2y/9TLscEY/7L7lcimJLQwTbzG0y7XewLMn/WzHSKfDN5Y5PymXsqlnN/u+RtaxSHJV5pTMTlFH9DlfiX10kkwzsK5h27TYKV8S9U1Qw2Fbc5k2MyoZ0OcxupERXHysx8wTObZ5pws11Hdo4zonoeX6YKOMPy98XmN5oqGnPV5n2zOni3YusBscfsm9RNtvOohhmtkO4tK5SAy3xgSkV25pRoNO4gd2v9PBkMjSMKWeaiqU4+1YlWYFn8kuwuvvG5fJZuPh3ZOQ84AiE9Wy9v2Hyg5UgqLF18QYdd+pJcHM1E3ZXFMmSJLK23dMBNl+oGjKUKeh0x85LV/L1Xjl9uPihyaD7fbBeLjKk52Cn2mHSOiGGMdihiSgLFedJ8Zo34ajz6IGjLKVXSdE6d+KbRtaQWjqk4q1jqQGN+TAdGqhUeNBeNwo7RA72YIrshXevMRTI1d6jEMi8qGWyBsO7ki+uSmyVV1LX+HBXjWbbtcIfiVKluoViBQqcEinKjK1TFpvYvKpCgx64/qmjfrKdjO8vjCkqVm7rEFkx+IWSMu8uvO7NiDWRx1+R0qRhN63NLIuqx2re4UFpOrZZ9FzVI20lVMthQMN6ppgppHYcWrvQ3FMQnXx16baIKYgsfaZaaZ9vjIqvVPL6UUmMqSvJ0/GPbKdUzLvpNlSoMFu3tn5uozix5P6rSCdR8vlhqMYgqEBfv6pt/x12PwG3p4gt6HfMy/hUYw6Mzg/QP+GRgcPTFdDCUvMJAyBrVuaBSDEeWPzRs83QmXyQi9p5BcXQNiM0S0Rcr6rBLsLpEwmoGV5a8IJiPQmUFEunZIm6/OTIrvN8uEhJxrA5P+eYPdxkS6bR0rzVExJYDx1ZUFGnsf1ik07LasDIiRoYvXttaZshpvhKpbj184FzN8FKxmO2qkDRNZe29psg4pWlxtfgKZ/aAUd0auR7ZqSLxrLGORHVmWFynpcin4mytM+VS1Y2minw1MUXiks6BtM/ly+8f0vM2xx7XIx6XLuiPnYYKJj5oYI3qVMWtqI21f+r2Uvtatcgidp6eaySgZ59OlyMQnKCDznxb95UXyp7VC1Izny8alfqYfb+iOsJn8vfkMnVgse3kQx2YM6Tizop395kOWJe+2iO+Gm/ce5OUdMMcsEQrLijIzhliKTRU7ZGhSrfuABmj7lM1t2pGkZcTUMVf1QExJmKbeVRnXKHm6HI9azI2glbN3xqu8Ew9PjYS1TMKczGqc3we2jGpj6mcb9RjXBW6K1/uMhW6y1/p0dHGqVBk6eILFDiZiWWhOuhU0V0tHLHGZw7VeGWo2jtagJ/C/6eK41QRrKpwWLKrTwr3D+rYTit1v1u71VP+PDZB0W+s8Kee51yqS69zRNxdI3ou4VRjSyeiOv161iQx2jwa1VHdsUYyParTQkVbj97+flM3pYq7Vq9D1CzJkcrMaFBgHh8yTZZXcrLLbXfcIzfeumH885Ki2a9gigyNSKStJ6eiOsdWMM+nIp/hD4q9q18cPYNiqAiySQ7Uh6pKJKQ6CjgYNwd3jCF+d6u4vF1i6zna9KVwk12iIRHnuiPP04tGREI7LLtbV1QcS1K36nFesan/r9j/OSMuqjPjGYa8uq5BSrsHdRffmFWv7JPe8sJpHUw1IhFZseXwAWZFdeHtneV8JmuRT0d2Dqq5Ytn1xmKqUZ0DRV4ZKsyMNxiIj+ss6+iXkm7zAesDS2tSdoCxp9zcyecKhnSUo5qplhbRqKx5aa+pcO0eDuhC5FgxMuB0SF9ZwXjRb7DYq4tL6nVGqSUKsqs6t+fxxWpZUCFLtzWOd76pSPe6Ax0zmpFXd6DT0pE9cQfd/mW1KZnPp7pOrbNIrbGkmCM2Q3pWl0r1xo7xi1y+kO6w05GfKeRpH447KKsKU5gmw9DxeJ5HmseLcLaISNmWHmk/KXn/V9YuueEqr55NlQzq57SdODqfL7aQWPVChzSeWzelLgVPx7Duckl2pyHmP7XfyG/2maJ/1T5ssM6rZ8Qlk80flvwWX/x+K0eKyVNmM6T59Bop3dErtmBE/KV5ekHCbDqOVIdg1/py6V1RIsV7+qRo74BpnmcstQihP8XPYTMt+jkHg7rQp177GuGo/hvURxWzPH5eXz76dXsgLPmth7uo1axCx2DQNItwNtT2OPzm5+LhDCl4TZlaXHxCpdQ93hIX6aziUuueatPPF6oDUz3O5q1oVBcrJ4tqBuabefwfBat3XHmpXHbR+fr8tZ+8ISk3UPiAOUJIHHax1+XAqrS4Il/6Ijkdnf1iGxi2lD0sVzUMCZUX6gKfuo8wt6KFe8VRs0pCr6pCzeF7KtJml2DIEOfRITEmuVvCjTaJ+sz3sGNZWIxc2QNPdkwiLyq2LJlJGMhzyvajFsv6F3aNX+YMhnVs5+YTV0z5DemCvW1xB2R3r14oIefsHjC62OhymIqQKrJz/4rs7+ZThVNrPGlbnTlyC5nVyVdmicsccbukbQZds1M14s3TMY7eocOrUks7+9JW5FPdYUV9iaO8YwuRqiN4rCs4ZLfpeYV+t0scMQuK1B64qzIHosamKORy6MdS3cHDhRjVCbd/ee30uh11B11b3GKLCRd9HJrPd9Ljr4h7JGiaz9dXVhgXGTtV1rhRX4FbPx8gPVQ8pr/YZeq4KN3eq+P/UtlVZ+3iU9ugYkgxfcFCl55PVrz3cIdRQcuQ9HcOy0jF7A/W2kdC4rbEuanHRzKpg+DqAGvFlsOLfVXRrvKFTmk9rfqIr1kLGs3PPyOleRLKz42ozpynYzsrZOEjTaYuKRXb2XheXlJn5anioRExF5NURzQSF++7LXHCyaDmgHavLZPe5cVSvKdfF/vULM9YvvrDsZ/zimHo/fW0qHnffzsojphFDKqbTxcNUxDVqWb1Wme9ZgNVYG46u05HQat5h4kWsnhVl+SqktFZjvNwRrSa4WhdHDVSxusmzG/kc2SQosJ8qa+t0ienwyH2JHRyWaM6HQurxbCsls+FmXxz2cmn7jVHV7/kbW+UvL1tYp+kwBdxOSRQWyYjaxdKqK6cAl8a2WtDuphnrQhHumwSeNGhu/oSiQZEQnvM/1NGYSQ7utemapJdir02klWLMTvqyqSt1vwGSx1gt8a1TURFwi3Z2WS6rL84X1oWJmHxhTEa2ZmLc/nKOvp0wTVWu9qnImOEj7DA5eDS6pTHTcbN5bN0w80VWzhsinWcKlXYU51htY2dpsv7S/L1XDgc1rjY3JGjOiYrYuKYp6KirVc8w+borMYlk8c9qvthy/HLzWNrRWTti7v188N0FjaUt/XKmk27ddyoaRsWHfkAPlLIMKTbEv2lDiKpA6eporthWofiZrNh5tSBybCls678le5ZzWIek988ZHpvqOZMqa6cZOtfWqTnWMVS3VlHmjGoOmCsj6dkFyExv4W9jvj5lH4V29md3IhhS1SniqxNZhERU6dud9WJfuA1C6RrTamEXbbxGWXda7IoDcIwxGfprEvm7FxrVGc2zeOzUoVfFWvcdFatXlhkNRbhueDRZnF3mmfQzsd5fOoxH0xSRyeQKhT5clhkcFgineYX8fYciOpMV5HPEQzJ8jy3rPIUSF5rj9hiummswoUe8S+uFv+qBRJWq+tzoPCaCexVUXEeGxKxmx8v0V6bBJ536IKelS7whcyPN+fKqc/yywaTxZna67IvsnTH+kW6Yy7Wyi37p3SAVh24d4TMBeAdRy1K2ot/a5FvNLJz/r2oTrbYWWpKb1mB7sxC5sZ1xgo67NLckPr4QWtkp4pWVMWUubZwT5u4LfuT7Uct0qfWujLd1TgdXSolACaDxfnSW2ougizYZ0m/OALr9fuLvbqgeiSqa2/vqgVxRca1m/ZMWkBQj0U1z3X1S3vkzAdflGOe2yG1jV2mYoHq5mxdwAKHdBuudI8e2IuhCiuGpTsiqd0wpvluBkWZpBzwNu878/qDen7VbBU0mn+GmtmYki5P1ZF1XIXuJIlVuq1X8iwRZbG8bUOm2L6okaR5gcgoaqHAkGWGY2GjT7xJKoiomDwVZ2z6nYvpQp8PHYN9K4pl/+sWyoEL6uXgBfWzigWdj3yV5udnNcNUdVinIv5RzULNdio+tunsWuk4uixuccxYJGrdk21S+XxHcm7nJImL6lRdfLl0EA8ZiSJfDgvtbzVf4HKKvbY8N4t8CYYJJ1PesF8aDrRJncsl9gmeGFQHgpq1N7JqgQSW1EhERYDxJDLv2Muj4jouJOKwFPoGbBLY6JRozGuByKChozpj2arDYivNjnjK2T7TGCURsaVpnFUqBV1O2bZ+seky1UW2+uV9kx6gLeoZjOuwUbOhVLxesqiINr+lY6eqxdzlkW3sobDuqInVRhdfxsd1xmpaXHXETr9UdPKpzrjCvuSt7p0KtVhg0a5m02Xd5UV6xlrT4mrZevxyefKCY+TJ84/R0Y9NDZU6nnEynTXmriKMUrdnrNLuAcnvn9r97R0Y1l2TsRrVz5vi6zo1n88aoTo2n8/6+rW0o09Wv7RXF/aOfXaH1B3sjOtcHtO6oELCs4x+Rmq6+VT8WcnuyTuoZtwNY4nq9NV5JeJkAeFsqRlUgULzayoVTWab4P9vKhy+oLh7A3PWJaeKlWp2UuyrU7WXqn6+Q2yB8JSiOlXBWkX6IceoIvEx5RJ2mJ/XKl7unPCxMx3WiL9AgZOovPnEZoxG9Gbh8aqhMrdE7If/LnXOGzOnb6ZcfYG4qFO16CcnGIYMLC6Sg+fXS/8ESQKFTT5Z+FCTFKvXQik+PjsV7u7DIxqUkbIcua+Q0Sjy5bCwNaqzoVqMFEddzRdR29x18qkhvlVNHWKf4Ikq4nZKoL5cR3IG68olSmTWvGcriYrrhJCIy1LoGzLEv9EpkaHRWk5oh3rDG/NYs0XFuTz7OteOaILdiiOLI0s7a8t0R02sivZeqbEU8cZFo7Lylf2mi0IOm+xebe7mSMobcssB/WyP7Kxo6xF7zPwxFYNn7WjE/BeaoIinOlJ08WQOqCjFwUJPWiM7l25vipunt2vtQvNBFsPQnaqqoLP96CXyzLlHy+OvPU5ePnGFHFhaoyOA1f+B+t59y2rTNldwvmuvLY1bFKFm882ki091d08rIvjQfL4Rt/n3q/l8qqhX0tkvq17eK2f840U57pnten7gRIU9Rd3XHdUlsifZzymY1cp21aEVq3h3v9gt819mS3UguAYPz3hUBhrohkkKmyGdR5lfT6i5diXbZ16sVXOKrPFgqe70GCl3x3UlqgjZyk2dcYvTVPHG224+2D24gOjXXBX2OKTrKPNzm8MfkYqXumYVXasjhlvM/wsDiwqysqCEechmiM/SbW+NKE5GVGcg36H/h3KJjvA8tkKazqxJHOEZikr5ltEIzzxLXOZcUs91qsMwFvP4kAlyo6KDOJF+n0R6zBnnjhyJ6hyLFZmTIl80KhUtXXEHXtRvCxd7xb+0Rvwr6iWsIsBypMCaLWyFUXGdGBRxWx47I4bu6Avvt0mk23yf2hdFxMj+RIZ4tgT/X/ao2Kqzt8g3FrNpPUC8YssBcVlmNCm1BzulqM/8ZnbvinoJTDN2bypyLbLTOg+xu6KY+WMZKDxBVJnqdk3F/8lUIzvnsshX0D8ktQc7TJepeZ0qWnIqBUrVsbdrbYNsPGudPHbRifLYRSfInjULU7jFmU0lLDQ3VJouUws17MHJo4TU160LOtTPiUwzbm+i+XyqqHf809uk/kCHuCaJfldU5OiOdQ3yxAXHyuaTVkqILr55Rc0xin2FpCIQS3ZOb/bjkVi7+IL5DhkpJ646WUYqPfHF2r394hyY+gzNcdFoXJFvsC5fH3BOtd4VxXERsvmtw3GzIvW8QEv0q/XvR24ZXJgfN9uxoGVoVjMqdcRwzNvEiE1kYCHFZMwd61w+T+fwrCO11c+INWz5HbnEX+YejfBcP0mE5xOt4uyfwXNpCrr41HOdv4TXTpj/qCrkKGtUp+F2ia0qdzob5momX2HvoBQMmFf9+MIhGV5ZL4FF1RIp8LAiLYOpqMm8E4NieC2Pn4AhoV2WVVl5UXEszsEuvglm8tmrI2JkebJPyOWU7dbYzpCK7dxretOr5nUu23bQdD0Vr9e4JDXdSamO7LSFwrJgb6s+qU7mdHIEglLWYS7CtNfnRix1tkkUx6n+i1Rn2lyyRnYW9wzMzeM8GpXlWw/EzVfbY5ndNlWq4DQXEaeZTs16jC2yqS5Ka6xyokUbsd2W6vtVnOpMqPl8072P+0ryZedaVdg7Rl44Y600LqmRgGfuCuGYumChSwYtB66L9g3oyMZkMEKRuKKRmqNFN0xyda0rlWjMa11VBKt6vkNcveaDhEfi6g/GdQ4M1s/RrDvDkPbjK3TnYKzyLd2mv6OgyVw0Hqrx6BldyGGGIZ0qttPyOCjeOyCl23tnFjG831xcVjMfVbQsMFeGKtymxgBVdLZ2MU9LOBof/2hZWJFzVITnkokjPNVzqSr4p4Pb0kXoL3XNyYIbYLZ4RZaDotGohPaZozrti2rEyKGd1lwU+ZwjASlvMx84D0Yj0hgYkSgrqbOG4Rbd0WcUTn6QV8V0ZntRa0KJinxZHNUZS3XOtFiKShUdffog8JjFO5riujF2rluku0hSIlFkZ7O5223GolE9E2rllgP6dOK/tojjCJ0mqaSKl7aY/XvYFv+3I3M7+dR9OawWy8whVSSPfcWgorjVPM1UK2/vjZvxdmB57Zx2MeYiv8clndWl8ZGdE71ujEZlwX5zVKf6fr9n5qt/DyyrlU7LfD4rFcG6a81CPYvx+TPXyUGVFDGL34m5072qJK5ANKMD4wmoAp/qDhyjDljSDZN8ai5V71Lz/2hef1DqH2uRipc6dfTgVORbCrIhj138ZXP3fxx2O3ShL5Z6PFZv7NAdLPbhkHi6/OkpQmJeG3vsWNOSSnf0jc7XmgZ314i4fOb3DgOLiRjG3Io4VFRy8iI73b1+8/PxoXmmsER4FpkXIs+qsDoLzONDpqLIl4OivYMS7fflbFRnwiJfkusNRiQi1U2dpoPLyvbhEQmmcP4f0sNwiZ7RZ5QkfiAZxRGx1eRGUSshS1Oj6nw0inPn/0AV7OJiO7cekLxhv+QPDMXNbuqoLpXuIxzQna12y7zAwoFh8SYhslMVL0u6D6++LRgYlmOe3a67++ZDVKc62E73UmZKFDOoih/p2I4BSzymtfiWbOo1xfKt5m7fEbdrzrsYc1WTZeZj/uCIlHYlvs/LOvrE6zMfBJ/1zEjDkFePWyrDXvPB/oEir57b+uR5R+sIVvX/oGYxIrOEvQ7pX2zuEC5o9CUloqrwgLkbZqjKow/GI/l6VxZLyG1ezafebRbtH5SFDzVJ0Z5+kQnmsx+O6hyML6DN8Qyy4Sqv9C43Px6dQyGpeLlLPy5jqc6toSqiOnHosVPtlfbjKkwLoRQ1X8u6L5qM+p+JFShwMgsLaaE6SGN524Z0R95MeDrM77MDxS66UxNEeHYebV4crbrb1QKTuWSEI5Jn6cRXs2uBTECRLwfFRXV63WKrMA/bznZRW2o7+VQHnytgjlvpKSmQ7nD6OlqQWoZDxHVcSGzl8cU858pwTicj2UrNt4l9UW7dHiGXQ7YdbY7tdITCsualvXpGX+zIQtVptnNt6mdk9ZYliuzsntXPVIW8pdsb4y4v7vXJ+ud36ULFXFJF1NiCo9JGVGfGUoW12MdsR3WJ9JemZz6LNbJzooJPstTt75B8nzk2RhV3IvZcbQ+fWz3lhTpCOVb9vvaE17Uu2hgs9Ojuz9kKupzy3FnrZOeahbJjbYM8de56ee7so2T/8joZyefAQ6brWVEsEfvhF0bqXNm22cVoqyKhu8dcKBxYRDdMqkQdNmk5tVrPPLSyByNS8Uq3LHi0WdyWmUxj8nr84hwOz4suue7VpTJSal4wUNjkk1LLvEhfrVck5nEL+BYUxB2kVyo2dUl+s7lInIjqes1vMV+vfxERw0gPHUcc87ktFBVP18wWxXo6za/j6eJLzF+aFxf9O9fdfHm9AVMTiHoMWJ8TgfmKIl8G6R/wSVNLuz4FQyEJz+CAqY7q3N8S18Vn5NIR9xTHdeb3+6So17wCzZ/nkq7y1HbmIP1UHKfzmJDYag+/SXcsC4kth7rWErGXR8W5LiS2qrA4VoVyJqozVld1qbQsqIjr/omL31OdGHNxwDZhZOfsinwNe1olz594jlB5R5+s2bRn4oi7FFB/T+yePuiwS1eKOySR2sU5L5y+RhoXVcneFXWy5fhlabu5rUU+NX/XnqJuVRV3u2RHU1w0IwXrOWQY0rjI3I1X2dqjFxLE8vhGpLy9L76LL0mvsVUX6cFltdK4tGbOY2qR+qiqvmXm/Up+67DkWWbCTEfRAfN7kVCeXXfyIXWCRS45eG69dK0pMRVtYzsS6p5sk6qN7WIfMi/8tM5OVN1LgaI0xTHbDGk/oSLuQKs6wB1rcAFRnYinojW71pjfY6j/BjWn0nOEg/Vq/lbswfWITeLmlgJzRXW+q6JTrPyWoRnNx1ULOWINV7JAK/GNZcTdNnNd5LPO41PPxcyeRaagyJdBbrvjHrnoquv06UBji/T3T38GTKS7X6KWSDY1jy/XpKrI5wgEpbLFHA8XUYPM6yviugeRnQybiGtdWFynByTvjIA4luReQSsRe21EXEeHxbEwklNdfLF2rmuQEbe5e84av7d/+dzFD1ojOwtmEdnp9AelYbd5AYlVTXO37lycq0JftWXOYEdtqUQTzHVD5hjOd8uO9Ytl76r0drH1lhbo5/Yxqhu3pGvqUVTTsXhXs7iClpmdaxvmPMIt17UuqJBQzP5D3fr1+ztM16nf12ZeWOC0Syvdw5ii3mXFEnaZn6PKXu2Z2XNmOCoFjeb3iXoWH+9FUs9uSN+KEjl4fr0MTNCJV9A8JAsfbpKS7b06FkzFeFrn8aUjqjNWyOuUjmPKJ/662058GSbUt6JYdyjHzXd8rl3yuiZYvBCNSuF+82spX10+kYZIK1+NOZLY2zo87edlNWdSPf7HqNmVI2UU+SZijYHWUaeTxV0nmdsye3aknC4+ZA6OdmWQd1x5qTxw+0361LCgVoqKCmYf1VnoFVuZeeVoThb59IWzfOKIRqVKzeGzPAF11pZJ0BKLh+xn84oYLJiGpQtj29FLJrxNdq1dOKeFi4SRnTPs5lOdRg51oOoQtRfctn6xhC1FtYX72mTxzmZJNVWsLOozr7Sk8wnJEnHYpc8SFZqKyE7VGbZgrzn+sb2mVPqSEP+I6Qmrgp2lG7vuQPvoAXp1XD8U1jNJY7UsrNSPFWAq1Cpx60FxT5dfPB3T7+bLbx0Se8C8yGyggW6YuRT2OKTjhEppOqNG/Ak68mzhqJRt75UFDzfraFaH5f5KV1RnrKG6fOlbnPj5ZrAuvUVIzH89q0viHj/qcV/7TJu4+swH0ccKIS6feVETEcNItyEVSxzD4Q/HdeVNN6pTRT+qiGckNlzljusid0/zNp+xaDQuRYGCLDIJe5YMUlSYL/W1VfrkdDjEbrNNO6ozbCnyORpyL6ozUZEvGd18Ze294h6xzL4ozpfBYt5UAxjVXVUizQsrE858aq81d9alnOoyri2d9Vw+VVBTB7tjqYPhzYuqZPMJy00dT8rSHU264yWVqpvMXXyqmNlTnnsLWjCHc/ks0bvJsOzVg2KLeW2i/pd2r0n9zE4k1rS4yvS5KxAa32eqfY4zJrJV3WsqWhaYbsxdyGMuDJe/0iVeFQ8Wnvr7lMID5m6Y4fI8CRWw4DAd/OVuaTqnVjqOLouLv1ScQyEp2WV+/hgpcc2b+6t7Xan4i+K3hahOHJFhSNf6sriOVnXAvvapNnEOmiP+i/YPxkXWjpTRQYP0Cqro5ELnrCI7rYt1Riro4jtiTGqxeXGMp21uIjtd/UGxW6Kp2Q8hk1DkyyGRjl6JDpmfYByLcy+qc6xF3sqYRQu4Z3BYSrrNb9ACLod01szxQXsA897OtQt1NOeYiCGyY92itKyI7qidfWTnaCHi8Odhm032rFowXtTceuxS09ByZeUr+6XKEqeZNNFoXFSnjibNwQUtSB1r0biwf0hHdidLcdeAVLX2mC5rXFKtI0uRHr5Cr/SUmbsSFuxv1/ucBZaFC11VJXMzXxVZRUVKd68qMV3mGgxJzXPtsuhvB6Tyxc7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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization: PSD with shaded frequency bands\n", + "\n", + "fs = 256\n", + "duration = 10.0\n", + "t = generate_time_vector(duration, fs)\n", + "\n", + "# Create multi-band signal\n", + "np.random.seed(42)\n", + "signal_delta = 20 * np.sin(2 * np.pi * 2 * t)\n", + "signal_theta = 12 * np.sin(2 * np.pi * 6 * t)\n", + "signal_alpha = 15 * np.sin(2 * np.pi * 10 * t)\n", + "signal_beta = 5 * np.sin(2 * np.pi * 20 * t)\n", + "signal_gamma = 2 * np.sin(2 * np.pi * 40 * t)\n", + "noise = 3 * np.random.randn(len(t))\n", + "\n", + "composite_signal = signal_delta + signal_theta + signal_alpha + signal_beta + signal_gamma + noise\n", + "\n", + "# Compute PSD\n", + "freqs, psd = compute_psd_welch(composite_signal, fs, nperseg=fs*2)\n", + "\n", + "# Plot with bands\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "ax.semilogy(freqs, psd, color=COLORS[\"signal_2\"], linewidth=2, zorder=5)\n", + "\n", + "for band_name, (f_low, f_high) in EEG_BANDS.items():\n", + " ax.axvspan(f_low, min(f_high, 60), alpha=0.3, color=BAND_COLORS[band_name],\n", + " label=f\"{band_name.capitalize()} ({f_low}–{f_high} Hz)\")\n", + "\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"PSD (µV²/Hz)\")\n", + "ax.set_title(\"PSD with EEG Frequency Bands\")\n", + "ax.set_xlim(0, 60)\n", + "ax.legend(loc=\"upper right\")\n", + "ax.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "fd43868a", + "metadata": {}, + "source": [ + "## Section 6: Band Power Extraction\n", + "\n", + "**Absolute band power** is the integral of PSD over a frequency range:\n", + "\n", + "$$P_{band} = \\int_{f_{low}}^{f_{high}} S(f) \\, df$$\n", + "\n", + "**Relative band power** normalizes by total power:\n", + "\n", + "$$P_{relative} = \\frac{P_{band}}{P_{total}} \\times 100\\%$$" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "094d1bf2", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Band Powers:\n", + "Band Absolute (µV²) Relative (%)\n", + "----------------------------------------\n", + "Delta 198.92 49.3 \n", + "Theta 71.54 17.7 \n", + "Alpha 112.43 27.8 \n", + "Beta 13.93 3.5 \n", + "Gamma 6.88 1.7 \n" + ] + } + ], + "source": [ + "# Compute band powers\n", + "band_powers = compute_all_band_powers(psd, freqs, EEG_BANDS)\n", + "\n", + "# Compute relative powers\n", + "relative_powers = {}\n", + "for band, freq_range in EEG_BANDS.items():\n", + " relative_powers[band] = compute_relative_band_power(psd, freqs, freq_range)\n", + "\n", + "# Display results\n", + "print(\"Band Powers:\")\n", + "print(f\"{'Band':<10} {'Absolute (µV²)':<18} {'Relative (%)':<12}\")\n", + "print(\"-\" * 40)\n", + "for band in EEG_BANDS:\n", + " print(f\"{band.capitalize():<10} {band_powers[band]:<18.2f} {relative_powers[band]:<12.1f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "fd52583f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualization: Bar chart of band powers\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "band_names = list(band_powers.keys())\n", + "powers = list(band_powers.values())\n", + "colors = [BAND_COLORS[band] for band in band_names]\n", + "\n", + "# Absolute powers\n", + "axes[0].bar([b.capitalize() for b in band_names], powers, color=colors, edgecolor=\"black\")\n", + "axes[0].set_xlabel(\"Frequency Band\")\n", + "axes[0].set_ylabel(\"Absolute Power (µV²)\")\n", + "axes[0].set_title(\"Absolute Band Powers\")\n", + "axes[0].grid(True, axis=\"y\", alpha=0.3)\n", + "\n", + "# Relative powers (pie chart)\n", + "axes[1].pie(\n", + " [relative_powers[band] for band in band_names],\n", + " labels=[b.capitalize() for b in band_names],\n", + " colors=colors,\n", + " autopct=\"%1.1f%%\",\n", + " startangle=90,\n", + ")\n", + "axes[1].set_title(\"Relative Band Power Distribution\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "be6e48e0", + "metadata": {}, + "source": [ + "## Section 7: Eyes Open vs Eyes Closed\n", + "\n", + "One of the most robust findings in EEG: **alpha enhancement** when closing the eyes.\n", + "\n", + "- **Eyes open**: Visual processing → alpha suppressed\n", + "- **Eyes closed**: Visual cortex idles → alpha power increases" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "fa9d8576", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Alpha power ratio (Closed/Open): 24.0x\n" + ] + } + ], + "source": [ + "# Simulate eyes open vs eyes closed\n", + "\n", + "fs = 256\n", + "duration = 10.0\n", + "t = generate_time_vector(duration, fs)\n", + "np.random.seed(123)\n", + "\n", + "# Common components\n", + "delta = 15 * np.sin(2 * np.pi * 2 * t)\n", + "theta = 8 * np.sin(2 * np.pi * 6 * t)\n", + "beta = 4 * np.sin(2 * np.pi * 20 * t)\n", + "\n", + "# Eyes OPEN: suppressed alpha\n", + "alpha_open = 5 * np.sin(2 * np.pi * 10 * t)\n", + "noise_open = 4 * np.random.randn(len(t))\n", + "signal_open = delta + theta + alpha_open + beta * 1.5 + noise_open\n", + "\n", + "# Eyes CLOSED: enhanced alpha\n", + "alpha_closed = 25 * np.sin(2 * np.pi * 10 * t)\n", + "noise_closed = 4 * np.random.randn(len(t))\n", + "signal_closed = delta + theta + alpha_closed + beta + noise_closed\n", + "\n", + "# Compute PSDs\n", + "freqs_open, psd_open = compute_psd_welch(signal_open, fs, nperseg=fs*2)\n", + "freqs_closed, psd_closed = compute_psd_welch(signal_closed, fs, nperseg=fs*2)\n", + "\n", + "# Compute band powers\n", + "powers_open = compute_all_band_powers(psd_open, freqs_open, EEG_BANDS)\n", + "powers_closed = compute_all_band_powers(psd_closed, freqs_closed, EEG_BANDS)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# PSD comparison\n", + "axes[0].semilogy(freqs_open, psd_open, color=COLORS[\"signal_1\"], linewidth=2, label=\"Eyes Open\")\n", + "axes[0].semilogy(freqs_closed, psd_closed, color=COLORS[\"signal_2\"], linewidth=2, label=\"Eyes Closed\")\n", + "axes[0].axvspan(8, 13, alpha=0.2, color=BAND_COLORS[\"alpha\"], label=\"Alpha band\")\n", + "axes[0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0].set_ylabel(\"PSD (µV²/Hz)\")\n", + "axes[0].set_title(\"PSD Comparison\")\n", + "axes[0].set_xlim(0, 40)\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Band power comparison\n", + "bands_to_plot = [\"delta\", \"theta\", \"alpha\", \"beta\"]\n", + "x = np.arange(len(bands_to_plot))\n", + "width = 0.35\n", + "\n", + "axes[1].bar(x - width/2, [powers_open[b] for b in bands_to_plot], width,\n", + " label=\"Eyes Open\", color=COLORS[\"signal_1\"], edgecolor=\"black\")\n", + "axes[1].bar(x + width/2, [powers_closed[b] for b in bands_to_plot], width,\n", + " label=\"Eyes Closed\", color=COLORS[\"signal_2\"], edgecolor=\"black\")\n", + "axes[1].set_xlabel(\"Frequency Band\")\n", + "axes[1].set_ylabel(\"Absolute Power (µV²)\")\n", + "axes[1].set_title(\"Band Power Comparison\")\n", + "axes[1].set_xticks(x)\n", + "axes[1].set_xticklabels([b.capitalize() for b in bands_to_plot])\n", + "axes[1].legend()\n", + "axes[1].grid(True, axis=\"y\", alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "alpha_ratio = powers_closed[\"alpha\"] / powers_open[\"alpha\"]\n", + "print(f\"Alpha power ratio (Closed/Open): {alpha_ratio:.1f}x\")" + ] + }, + { + "cell_type": "markdown", + "id": "0280c2d2", + "metadata": {}, + "source": [ + "## Section 8: The Decibel Scale\n", + "\n", + "Power values can span many orders of magnitude. The **decibel (dB)** scale compresses this range:\n", + "\n", + "$$P_{dB} = 10 \\cdot \\log_{10}\\left(\\frac{P}{P_{ref}}\\right)$$\n", + "\n", + "**Key relationships:**\n", + "- Doubling power ≈ +3 dB\n", + "- 10× power = +10 dB\n", + "- 100× power = +20 dB" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "9f523c36", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The dB scale reveals structure across the full dynamic range.\n" + ] + } + ], + "source": [ + "# Linear vs dB scale comparison\n", + "\n", + "psd_db = power_to_db(psd, ref=np.max(psd))\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Linear scale\n", + "axes[0].plot(freqs, psd, color=COLORS[\"signal_1\"], linewidth=2)\n", + "axes[0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0].set_ylabel(\"PSD (µV²/Hz)\")\n", + "axes[0].set_title(\"Linear Scale\")\n", + "axes[0].set_xlim(0, 60)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# dB scale\n", + "axes[1].plot(freqs, psd_db, color=COLORS[\"signal_2\"], linewidth=2)\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"PSD (dB, ref=max)\")\n", + "axes[1].set_title(\"Decibel Scale\")\n", + "axes[1].set_xlim(0, 60)\n", + "axes[1].set_ylim(-60, 5)\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The dB scale reveals structure across the full dynamic range.\")" + ] + }, + { + "cell_type": "markdown", + "id": "a9781478", + "metadata": {}, + "source": [ + "## Section 9: Exercises\n", + "\n", + "Test your understanding with these hands-on exercises." + ] + }, + { + "cell_type": "markdown", + "id": "95c2f2b6", + "metadata": {}, + "source": [ + "### 🎯 Exercise 1: Effect of nperseg on Welch PSD\n", + "\n", + "Create a signal with a 10 Hz component and compare Welch PSD estimates using `nperseg` values of 64, 256, and 1024. How does segment length affect the trade-off between resolution and variance?" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "6451bc46", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: Your code here\n", + "# --------------------------\n", + "\n", + "fs_ex = 256\n", + "duration_ex = 10.0\n", + "t_ex = generate_time_vector(duration_ex, fs_ex)\n", + "\n", + "# Create signal: 10 Hz sine + noise\n", + "signal_ex = 5 * np.sin(2 * np.pi * 10 * t_ex) + np.random.randn(len(t_ex))\n", + "\n", + "# TODO: Compute Welch PSD with different nperseg values and plot" + ] + }, + { + "cell_type": "markdown", + "id": "c12b21d4", + "metadata": {}, + "source": [ + "
\n", + "💡 Solution Exercise 1\n", + "\n", + "```python\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "for nperseg in [64, 256, 1024]:\n", + " freqs, psd = compute_psd_welch(signal_ex, fs_ex, nperseg=nperseg)\n", + " freq_res = fs_ex / nperseg\n", + " ax.semilogy(freqs, psd, linewidth=2, label=f\"nperseg={nperseg} (Δf={freq_res:.2f} Hz)\")\n", + "\n", + "ax.axvline(10, color=\"red\", linestyle=\"--\", alpha=0.5)\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"PSD (µV²/Hz)\")\n", + "ax.set_title(\"Effect of nperseg on Welch PSD\")\n", + "ax.set_xlim(0, 30)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "plt.show()\n", + "```\n", + "\n", + "**Key insight:** Larger nperseg gives better frequency resolution but noisier estimates.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "a56c7dbe", + "metadata": {}, + "source": [ + "### 🎯 Exercise 2: Alpha/Beta Ratio\n", + "\n", + "The alpha/beta ratio is used as an index of cortical arousal. Create \"relaxed\" (high alpha) and \"alert\" (high beta) signals, compute the ratio for each, and compare." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "2c4344bc", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Your code here\n", + "# --------------------------\n", + "\n", + "# TODO: Create relaxed and alert signals\n", + "# TODO: Compute alpha and beta power for each\n", + "# TODO: Calculate and compare alpha/beta ratios" + ] + }, + { + "cell_type": "markdown", + "id": "88b996bf", + "metadata": {}, + "source": [ + "
\n", + "💡 Solution Exercise 2\n", + "\n", + "```python\n", + "t_ex2 = generate_time_vector(10.0, 256)\n", + "np.random.seed(42)\n", + "\n", + "# Relaxed: strong alpha, weak beta\n", + "signal_relaxed = (15 * np.sin(2 * np.pi * 10 * t_ex2) +\n", + " 3 * np.sin(2 * np.pi * 20 * t_ex2) +\n", + " 2 * np.random.randn(len(t_ex2)))\n", + "\n", + "# Alert: weak alpha, strong beta\n", + "signal_alert = (3 * np.sin(2 * np.pi * 10 * t_ex2) +\n", + " 12 * np.sin(2 * np.pi * 20 * t_ex2) +\n", + " 2 * np.random.randn(len(t_ex2)))\n", + "\n", + "# Compute PSDs and band powers\n", + "freqs_r, psd_r = compute_psd_welch(signal_relaxed, 256, nperseg=512)\n", + "freqs_a, psd_a = compute_psd_welch(signal_alert, 256, nperseg=512)\n", + "\n", + "alpha_r = compute_band_power(psd_r, freqs_r, (8, 13))\n", + "beta_r = compute_band_power(psd_r, freqs_r, (13, 30))\n", + "alpha_a = compute_band_power(psd_a, freqs_a, (8, 13))\n", + "beta_a = compute_band_power(psd_a, freqs_a, (13, 30))\n", + "\n", + "print(f\"Relaxed: Alpha/Beta = {alpha_r / beta_r:.2f}\")\n", + "print(f\"Alert: Alpha/Beta = {alpha_a / beta_a:.2f}\")\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "9ee8b7a3", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Description |\n", + "|---------|-------------|\n", + "| **Power Spectrum** | Amplitude² — represents energy distribution |\n", + "| **PSD** | Power per unit frequency (µV²/Hz) |\n", + "| **Periodogram** | Direct FFT estimate — high variance |\n", + "| **Welch's Method** | Averaged periodograms — reduced variance |\n", + "| **Frequency Bands** | δ, θ, α, β, γ — standard EEG divisions |\n", + "| **Band Power** | Integral of PSD over frequency range |\n", + "| **Decibel Scale** | 10·log₁₀(P/Pref) — compresses dynamic range |\n", + "\n", + "### Functions Used\n", + "\n", + "```python\n", + "from src.spectral import (\n", + " compute_psd_fft, # Periodogram\n", + " compute_psd_welch, # Welch method\n", + " compute_band_power, # Single band power\n", + " compute_all_band_powers, # All bands\n", + " compute_relative_band_power, # Percentage\n", + " power_to_db, # dB conversion\n", + ")\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "9410a91d", + "metadata": {}, + "source": [ + "## External Resources\n", + "\n", + "### 🎥 Video Overview\n", + "\n", + "> *Interactive video overview of this notebook's key concepts, generated with NotebookLM.*\n", + "\n", + "[▶️ Watch the Video Overview](https://notebooklm.google.com/notebook/3d75df7a-91c7-4f12-a3f8-1047aea0e23b?artifactId=18b4b25d-2bda-4d12-9d34-d9022556d189)\n", + "\n", + "### 📝 Practice & Review\n", + "\n", + "Test your understanding with these AI-generated study materials:\n", + "\n", + "- [**Quiz**: Power Spectrum and Frequency Bands](https://notebooklm.google.com/notebook/3d75df7a-91c7-4f12-a3f8-1047aea0e23b?artifactId=e7a2fcaf-d4ad-46f2-93d5-cc5c73b8b5e5) — Multiple choice questions on key concepts\n", + "- [**Flashcards**: Power Spectrum and Frequency Bands](https://notebooklm.google.com/notebook/3d75df7a-91c7-4f12-a3f8-1047aea0e23b?artifactId=a00d2a74-84d0-4d01-8222-63787492f3ea) — Review key terms and definitions\n", + "\n", + "### 🎥 Video Tutorials\n", + "\n", + "- [**Power Spectrum Explained**](https://www.youtube.com/watch?v=spUNpyF58BY) — Mike X Cohen explains power spectra for neural data (14 min)\n", + "- [**Welch's Method**](https://www.youtube.com/watch?v=wZsHtLiIDYY) — Understanding Welch's power spectral density estimation (10 min)\n", + "- [**EEG Frequency Bands**](https://www.youtube.com/watch?v=P8UWJc0tOVE) — Overview of delta, theta, alpha, beta, gamma rhythms (8 min)\n", + "\n", + "### 📖 Further Reading\n", + "\n", + "- [Power Spectral Density (Wikipedia)](https://en.wikipedia.org/wiki/Spectral_density) — Mathematical foundations of PSD\n", + "- [Welch's Method (Wikipedia)](https://en.wikipedia.org/wiki/Welch%27s_method) — The averaging approach to spectral estimation\n", + "- [Neural Oscillation (Wikipedia)](https://en.wikipedia.org/wiki/Neural_oscillation) — Frequency bands and their cognitive correlates\n", + "- [Mike X Cohen - Analyzing Neural Time Series Data](https://mikexcohen.com/book/) — Excellent textbook chapters on spectral analysis" + ] + }, + { + "cell_type": "markdown", + "id": "4589563c", + "metadata": {}, + "source": [ + "## Discussion Questions\n", + "\n", + "1. **Why does EEG show a 1/f spectrum?** What does this tell us about neural dynamics?\n", + "\n", + "2. **Band boundaries are arbitrary.** Should we use individualized alpha peak frequency (IAF)?\n", + "\n", + "3. **Absolute vs. Relative power:** When would you prefer one over the other?\n", + "\n", + "4. **Welch parameters:** How would you choose `nperseg` for a real EEG analysis?\n", + "\n", + "5. **Clinical applications:** How might spectral analysis help diagnose ADHD or Alzheimer's?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04a_filter_fundamentals.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04a_filter_fundamentals.ipynb new file mode 100644 index 0000000..f6d6c59 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04a_filter_fundamentals.ipynb @@ -0,0 +1,1281 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "87d8130b", + "metadata": {}, + "source": [ + "# A04a: Filter Fundamentals\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "- **Understand** the four basic filter types (lowpass, highpass, bandpass, notch)\n", + "- **Explain** key filter characteristics (cutoff frequency, order, transition band)\n", + "- **Compare** FIR and IIR filter designs and their trade-offs\n", + "- **Design** digital filters using scipy.signal functions\n", + "- **Visualize** filter frequency and phase responses" + ] + }, + { + "cell_type": "markdown", + "id": "2c547ca1", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Filter Types](#section-2-filter-types)\n", + "3. [Filter Characteristics](#section-3-filter-characteristics)\n", + "4. [Filter Order](#section-4-filter-order)\n", + "5. [FIR vs IIR Filters](#section-5-fir-vs-iir-filters)\n", + "6. [Designing Filters in Python](#section-6-designing-filters-in-python)\n", + "7. [Comparing Filter Designs](#section-7-comparing-filter-designs)\n", + "8. [Exercises](#section-8-exercises)\n", + "9. [Summary](#summary)\n", + "10. [External Resources](#external-resources)\n", + "11. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "f0fb6131", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumPy version: 2.3.5\n", + "Source path: /Users/remyramadour/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials/src\n" + ] + } + ], + "source": [ + "# Standard library imports\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Tuple, Literal\n", + "\n", + "# Third-party imports\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "from scipy.signal import butter, cheby1, cheby2, ellip, firwin, freqz, lfilter\n", + "\n", + "# Add src to path for local imports\n", + "src_path = Path.cwd().parent.parent.parent / \"src\"\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "# Local imports\n", + "from signals import generate_time_vector, generate_sine_wave\n", + "from colors import COLORS\n", + "\n", + "# Matplotlib configuration\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"font.size\"] = 11\n", + "\n", + "print(f\"NumPy version: {np.__version__}\")\n", + "print(f\"Source path: {src_path}\")" + ] + }, + { + "cell_type": "markdown", + "id": "f88eca97", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 1. Introduction\n", + "\n", + "Raw EEG signals are a mixture of many sources: neural activity from different brain regions, muscle artifacts (EMG), eye movements, cardiac activity, environmental noise (like 50/60 Hz power line interference), and slow drifts from electrode impedance changes. Before we can meaningfully analyze brain activity, we need to **filter** the signal to isolate the frequencies of interest.\n", + "\n", + "Filtering is one of the most fundamental preprocessing steps in EEG analysis. When we say \"alpha power increased during eyes-closed rest,\" we're specifically talking about the 8-13 Hz frequency range — and to measure that, we first need to remove activity outside this band. Similarly, connectivity measures like Phase Locking Value (PLV) or coherence are computed within specific frequency bands, so proper filtering is essential.\n", + "\n", + "However, filtering is not without risks. Improper filtering can:\n", + "- **Distort signal timing** (phase distortion), which is catastrophic for phase-based connectivity\n", + "- **Create artifacts** at signal boundaries (edge effects)\n", + "- **Remove genuine brain activity** if cutoffs are too aggressive\n", + "- **Spread transient artifacts** across time (ringing)\n", + "\n", + "In this notebook, we'll learn how filters work, how to design them properly, and understand the fundamentals before applying them in A04b." + ] + }, + { + "cell_type": "markdown", + "id": "b0dd8037", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 2. Filter Types\n", + "\n", + "There are four basic types of frequency filters, each designed for a specific purpose:\n", + "\n", + "### Low-pass Filter\n", + "Passes frequencies **below** the cutoff, attenuates frequencies above. \n", + "**Use case**: Remove high-frequency noise, muscle artifacts (EMG), or prepare for downsampling.\n", + "\n", + "### High-pass Filter\n", + "Passes frequencies **above** the cutoff, attenuates frequencies below. \n", + "**Use case**: Remove slow drifts, baseline wander, and DC offset.\n", + "\n", + "### Band-pass Filter\n", + "Passes frequencies **within** a range, attenuates frequencies outside. \n", + "**Use case**: Isolate a specific frequency band (e.g., alpha 8-13 Hz) for analysis.\n", + "\n", + "### Band-stop (Notch) Filter\n", + "Attenuates frequencies **within** a range, passes frequencies outside. \n", + "**Use case**: Remove line noise (50 Hz in Europe, 60 Hz in Americas)." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d4be4ea2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Note: These are IDEALIZED responses. Real filters have gradual transitions.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 1: Four Filter Types (Idealized Frequency Response)\n", + "# ============================================================================\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 8))\n", + "\n", + "freqs = np.linspace(0, 50, 500)\n", + "\n", + "# Low-pass filter (cutoff at 20 Hz)\n", + "ax = axes[0, 0]\n", + "lowpass_response = np.where(freqs <= 20, 1, 0)\n", + "ax.fill_between(freqs, lowpass_response, alpha=0.3, color=COLORS[\"signal_1\"])\n", + "ax.plot(freqs, lowpass_response, color=COLORS[\"signal_1\"], linewidth=2)\n", + "ax.axvline(20, color=\"red\", linestyle=\"--\", linewidth=1.5, label=\"Cutoff (20 Hz)\")\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"Gain\")\n", + "ax.set_title(\"Low-pass Filter\", fontsize=12, fontweight=\"bold\")\n", + "ax.set_ylim(-0.1, 1.2)\n", + "ax.legend(loc=\"upper right\")\n", + "ax.grid(True, alpha=0.3)\n", + "ax.annotate(\"PASS\", xy=(10, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\")\n", + "ax.annotate(\"STOP\", xy=(35, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\", color=\"gray\")\n", + "\n", + "# High-pass filter (cutoff at 5 Hz)\n", + "ax = axes[0, 1]\n", + "highpass_response = np.where(freqs >= 5, 1, 0)\n", + "ax.fill_between(freqs, highpass_response, alpha=0.3, color=COLORS[\"signal_1\"])\n", + "ax.plot(freqs, highpass_response, color=COLORS[\"signal_1\"], linewidth=2)\n", + "ax.axvline(5, color=\"red\", linestyle=\"--\", linewidth=1.5, label=\"Cutoff (5 Hz)\")\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"Gain\")\n", + "ax.set_title(\"High-pass Filter\", fontsize=12, fontweight=\"bold\")\n", + "ax.set_ylim(-0.1, 1.2)\n", + "ax.legend(loc=\"upper right\")\n", + "ax.grid(True, alpha=0.3)\n", + "ax.annotate(\"STOP\", xy=(2.5, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\", color=\"gray\")\n", + "ax.annotate(\"PASS\", xy=(27.5, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\")\n", + "\n", + "# Band-pass filter (8-13 Hz alpha band)\n", + "ax = axes[1, 0]\n", + "bandpass_response = np.where((freqs >= 8) & (freqs <= 13), 1, 0)\n", + "ax.fill_between(freqs, bandpass_response, alpha=0.3, color=COLORS[\"signal_1\"])\n", + "ax.plot(freqs, bandpass_response, color=COLORS[\"signal_1\"], linewidth=2)\n", + "ax.axvline(8, color=\"red\", linestyle=\"--\", linewidth=1.5, label=\"Low cutoff (8 Hz)\")\n", + "ax.axvline(13, color=\"red\", linestyle=\"--\", linewidth=1.5, label=\"High cutoff (13 Hz)\")\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"Gain\")\n", + "ax.set_title(\"Band-pass Filter (Alpha Band)\", fontsize=12, fontweight=\"bold\")\n", + "ax.set_ylim(-0.1, 1.2)\n", + "ax.legend(loc=\"upper right\", fontsize=9)\n", + "ax.grid(True, alpha=0.3)\n", + "ax.annotate(\"STOP\", xy=(4, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\", color=\"gray\")\n", + "ax.annotate(\"PASS\", xy=(10.5, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\")\n", + "ax.annotate(\"STOP\", xy=(31, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\", color=\"gray\")\n", + "\n", + "# Band-stop (notch) filter (48-52 Hz to remove 50 Hz line noise)\n", + "ax = axes[1, 1]\n", + "notch_freqs = np.linspace(0, 80, 500)\n", + "notch_response = np.where((notch_freqs >= 48) & (notch_freqs <= 52), 0, 1)\n", + "ax.fill_between(notch_freqs, notch_response, alpha=0.3, color=COLORS[\"signal_1\"])\n", + "ax.plot(notch_freqs, notch_response, color=COLORS[\"signal_1\"], linewidth=2)\n", + "ax.axvline(50, color=\"red\", linestyle=\"--\", linewidth=1.5, label=\"Notch center (50 Hz)\")\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"Gain\")\n", + "ax.set_title(\"Band-stop (Notch) Filter\", fontsize=12, fontweight=\"bold\")\n", + "ax.set_ylim(-0.1, 1.2)\n", + "ax.legend(loc=\"upper right\")\n", + "ax.grid(True, alpha=0.3)\n", + "ax.annotate(\"PASS\", xy=(25, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\")\n", + "ax.annotate(\"STOP\", xy=(50, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\", color=\"gray\")\n", + "ax.annotate(\"PASS\", xy=(65, 0.5), fontsize=14, fontweight=\"bold\", ha=\"center\")\n", + "\n", + "plt.suptitle(\"Visualization 1: Four Basic Filter Types\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Note: These are IDEALIZED responses. Real filters have gradual transitions.\")" + ] + }, + { + "cell_type": "markdown", + "id": "76cad186", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 3. Filter Characteristics\n", + "\n", + "Every filter is defined by several key characteristics that determine its behavior:\n", + "\n", + "### Key Parameters\n", + "\n", + "| Parameter | Description | Unit |\n", + "|-----------|-------------|------|\n", + "| **Cutoff frequency (fc)** | Frequency where the filter starts attenuating | Hz |\n", + "| **Passband** | Frequency range where signals pass through | Hz |\n", + "| **Stopband** | Frequency range where signals are blocked | Hz |\n", + "| **Transition band** | Region between passband and stopband | Hz |\n", + "| **Passband ripple** | Amplitude variation in the passband | dB |\n", + "| **Stopband attenuation** | How much the stopband is suppressed | dB |\n", + "| **Filter order** | Number of coefficients (affects sharpness) | - |\n", + "\n", + "### The -3 dB Point\n", + "\n", + "The cutoff frequency is typically defined as the **-3 dB point**, where the signal power is reduced to half (amplitude to ~70.7%).\n", + "\n", + "$$P_{-3dB} = \\frac{P_{max}}{2} \\quad \\Rightarrow \\quad A_{-3dB} = \\frac{A_{max}}{\\sqrt{2}} \\approx 0.707 \\cdot A_{max}$$\n", + "\n", + "Let's visualize these characteristics:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "64c2f1b2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ Cutoff frequency: 30 Hz\n", + "✓ -3 dB point: 30.0 Hz\n", + "✓ Filter order: 4\n", + "✓ Stopband attenuation: ~81 dB\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 2: Annotated Filter Response with Key Characteristics\n", + "# ============================================================================\n", + "\n", + "# Design a 4th order Butterworth lowpass filter\n", + "order = 4\n", + "cutoff_freq = 30 # Hz\n", + "fs = 250 # Sampling frequency\n", + "nyquist = fs / 2\n", + "normalized_cutoff = cutoff_freq / nyquist\n", + "\n", + "# Get filter coefficients\n", + "b, a = butter(order, normalized_cutoff, btype='low')\n", + "\n", + "# Compute frequency response\n", + "w, h = freqz(b, a, worN=2048)\n", + "frequencies = w * nyquist / np.pi\n", + "magnitude_db = 20 * np.log10(np.abs(h) + 1e-10)\n", + "\n", + "# Create annotated visualization\n", + "fig, ax = plt.subplots(figsize=(12, 7))\n", + "\n", + "# Plot frequency response\n", + "ax.plot(frequencies, magnitude_db, color=COLORS[\"signal_1\"], linewidth=2.5, label='Filter response')\n", + "\n", + "# Find -3dB point\n", + "db_3_idx = np.argmin(np.abs(magnitude_db - (-3)))\n", + "freq_3db = frequencies[db_3_idx]\n", + "\n", + "# Define regions\n", + "passband_end = cutoff_freq * 0.8\n", + "stopband_start = cutoff_freq * 2.5\n", + "\n", + "# Shade regions\n", + "ax.axvspan(0, passband_end, alpha=0.2, color=COLORS[\"signal_3\"], label='Passband')\n", + "ax.axvspan(passband_end, stopband_start, alpha=0.2, color=COLORS[\"signal_4\"], label='Transition band')\n", + "ax.axvspan(stopband_start, nyquist, alpha=0.2, color=COLORS[\"negative\"], label='Stopband')\n", + "\n", + "# Mark -3dB point\n", + "ax.axhline(y=-3, color='gray', linestyle='--', linewidth=1, alpha=0.7)\n", + "ax.axvline(x=freq_3db, color='gray', linestyle='--', linewidth=1, alpha=0.7)\n", + "ax.plot(freq_3db, -3, 'o', color=COLORS[\"negative\"], markersize=12, zorder=5)\n", + "ax.annotate(f'-3 dB point\\n({freq_3db:.1f} Hz)', \n", + " xy=(freq_3db, -3), xytext=(freq_3db + 15, -8),\n", + " fontsize=11, ha='left',\n", + " arrowprops=dict(arrowstyle='->', color='gray', lw=1.5))\n", + "\n", + "# Add annotations for regions\n", + "ax.annotate('Passband\\n(signal preserved)', xy=(passband_end/2, -1), fontsize=10, \n", + " ha='center', va='top', color=COLORS[\"signal_3\"], fontweight='bold')\n", + "ax.annotate('Transition\\nband', xy=((passband_end + stopband_start)/2, -15), fontsize=10,\n", + " ha='center', color=COLORS[\"signal_4\"], fontweight='bold')\n", + "ax.annotate('Stopband\\n(signal attenuated)', xy=((stopband_start + nyquist)/2, -40), fontsize=10,\n", + " ha='center', color=COLORS[\"negative\"], fontweight='bold')\n", + "\n", + "# Add stopband attenuation annotation\n", + "min_atten = magnitude_db[frequencies > stopband_start].mean()\n", + "ax.annotate(f'Stopband attenuation\\n≈ {abs(min_atten):.0f} dB', \n", + " xy=(100, min_atten), xytext=(80, -55),\n", + " fontsize=10, ha='center',\n", + " arrowprops=dict(arrowstyle='->', color='gray', lw=1.5))\n", + "\n", + "ax.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax.set_ylabel('Magnitude (dB)', fontsize=12)\n", + "ax.set_title(f'Filter Characteristics: {order}th Order Butterworth Lowpass (fc = {cutoff_freq} Hz)', \n", + " fontsize=14, fontweight='bold')\n", + "ax.set_xlim(0, nyquist)\n", + "ax.set_ylim(-70, 5)\n", + "ax.legend(loc='upper right', fontsize=10)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"✓ Cutoff frequency: {cutoff_freq} Hz\")\n", + "print(f\"✓ -3 dB point: {freq_3db:.1f} Hz\")\n", + "print(f\"✓ Filter order: {order}\")\n", + "print(f\"✓ Stopband attenuation: ~{abs(min_atten):.0f} dB\")" + ] + }, + { + "cell_type": "markdown", + "id": "4c92443e", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 4. Filter Order\n", + "\n", + "The **filter order** determines how sharply the filter transitions from passband to stopband:\n", + "\n", + "- **Higher order** → Sharper transition, but more computation and potential instability\n", + "- **Lower order** → Gentler transition, but more robust and faster\n", + "\n", + "Let's compare different filter orders:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "55aff115", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Transition band width (from -3 dB to -20 dB):\n", + "----------------------------------------\n", + "Order 2: 41.3 Hz (30.0 → 71.3 Hz)\n", + "Order 4: 18.8 Hz (30.0 → 48.8 Hz)\n", + "Order 6: 11.9 Hz (30.0 → 41.9 Hz)\n", + "Order 8: 8.6 Hz (30.0 → 38.6 Hz)\n", + "Order 10: 6.8 Hz (30.0 → 36.8 Hz)\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 3: Effect of Filter Order on Frequency Response\n", + "# ============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Parameters\n", + "cutoff_freq = 30 # Hz\n", + "fs = 250\n", + "nyquist = fs / 2\n", + "normalized_cutoff = cutoff_freq / nyquist\n", + "orders = [2, 4, 6, 8, 10]\n", + "colors = [COLORS[\"signal_1\"], COLORS[\"signal_3\"], COLORS[\"signal_4\"], COLORS[\"negative\"], COLORS[\"signal_5\"]]\n", + "\n", + "# Left plot: Frequency response comparison\n", + "ax1 = axes[0]\n", + "for order, color in zip(orders, colors):\n", + " b, a = butter(order, normalized_cutoff, btype='low')\n", + " w, h = freqz(b, a, worN=2048)\n", + " freqs = w * nyquist / np.pi\n", + " mag_db = 20 * np.log10(np.abs(h) + 1e-10)\n", + " ax1.plot(freqs, mag_db, color=color, linewidth=2, label=f'Order {order}')\n", + "\n", + "# Mark cutoff frequency\n", + "ax1.axvline(x=cutoff_freq, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax1.axhline(y=-3, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "\n", + "ax1.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax1.set_ylabel('Magnitude (dB)', fontsize=12)\n", + "ax1.set_title('Frequency Response: Effect of Filter Order', fontsize=13, fontweight='bold')\n", + "ax1.set_xlim(0, 80)\n", + "ax1.set_ylim(-60, 5)\n", + "ax1.legend(loc='lower left', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Add annotation\n", + "ax1.annotate(f'Cutoff = {cutoff_freq} Hz', xy=(cutoff_freq, -3), xytext=(cutoff_freq + 10, 2),\n", + " fontsize=10, arrowprops=dict(arrowstyle='->', color='gray'))\n", + "\n", + "# Right plot: Zoom on transition band\n", + "ax2 = axes[1]\n", + "for order, color in zip(orders, colors):\n", + " b, a = butter(order, normalized_cutoff, btype='low')\n", + " w, h = freqz(b, a, worN=2048)\n", + " freqs = w * nyquist / np.pi\n", + " mag_db = 20 * np.log10(np.abs(h) + 1e-10)\n", + " ax2.plot(freqs, mag_db, color=color, linewidth=2.5, label=f'Order {order}')\n", + "\n", + "ax2.axvline(x=cutoff_freq, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax2.axhline(y=-3, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax2.axhline(y=-20, color='gray', linestyle=':', linewidth=1, alpha=0.5)\n", + "\n", + "ax2.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax2.set_ylabel('Magnitude (dB)', fontsize=12)\n", + "ax2.set_title('Zoom: Transition Band Sharpness', fontsize=13, fontweight='bold')\n", + "ax2.set_xlim(15, 60)\n", + "ax2.set_ylim(-40, 5)\n", + "ax2.legend(loc='lower left', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Add annotation about transition width\n", + "ax2.annotate('Higher order =\\nSharper transition', xy=(45, -10), fontsize=11,\n", + " ha='center', style='italic', color='gray')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Calculate transition band width for each order\n", + "print(\"Transition band width (from -3 dB to -20 dB):\")\n", + "print(\"-\" * 40)\n", + "for order, color in zip(orders, colors):\n", + " b, a = butter(order, normalized_cutoff, btype='low')\n", + " w, h = freqz(b, a, worN=4096)\n", + " freqs = w * nyquist / np.pi\n", + " mag_db = 20 * np.log10(np.abs(h) + 1e-10)\n", + " \n", + " # Find -3dB and -20dB points\n", + " idx_3db = np.argmin(np.abs(mag_db - (-3)))\n", + " idx_20db = np.argmin(np.abs(mag_db - (-20)))\n", + " \n", + " freq_3db = freqs[idx_3db]\n", + " freq_20db = freqs[idx_20db]\n", + " transition_width = freq_20db - freq_3db\n", + " \n", + " print(f\"Order {order:2d}: {transition_width:5.1f} Hz ({freq_3db:.1f} → {freq_20db:.1f} Hz)\")" + ] + }, + { + "cell_type": "markdown", + "id": "dcd5c9bb", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 5. FIR vs IIR Filters\n", + "\n", + "There are two main categories of digital filters, each with distinct characteristics:\n", + "\n", + "### FIR: Finite Impulse Response\n", + "\n", + "The output depends only on the **current and past input values**:\n", + "\n", + "$$y[n] = \\sum_{k=0}^{M} b_k \\cdot x[n-k]$$\n", + "\n", + "### IIR: Infinite Impulse Response\n", + "\n", + "The output depends on **past inputs AND past outputs** (feedback):\n", + "\n", + "$$y[n] = \\sum_{k=0}^{M} b_k \\cdot x[n-k] - \\sum_{k=1}^{N} a_k \\cdot y[n-k]$$\n", + "\n", + "### Comparison Table\n", + "\n", + "| Characteristic | FIR | IIR |\n", + "|----------------|-----|-----|\n", + "| **Stability** | Always stable | Can be unstable |\n", + "| **Phase response** | Can be linear (no distortion) | Non-linear phase |\n", + "| **Filter order** | Higher order needed | Lower order sufficient |\n", + "| **Computation** | More coefficients | Fewer coefficients |\n", + "| **Memory** | No feedback | Requires feedback |\n", + "| **Typical use** | When phase matters | When efficiency matters |\n", + "\n", + "### For EEG Analysis\n", + "\n", + "- **FIR filters** are preferred when **phase relationships** matter (connectivity analysis)\n", + "- **IIR filters** (like Butterworth) are common for **general preprocessing**\n", + "- **Zero-phase filtering** (filtfilt) can eliminate phase distortion for both types" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "a6e74a81", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Summary:\n", + " FIR filter: 51 coefficients, linear phase, always stable\n", + " IIR filter: 10 coefficients, non-linear phase, can be unstable\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 4: FIR vs IIR Filter Comparison\n", + "# ============================================================================\n", + "\n", + "# Parameters\n", + "fs = 250\n", + "nyquist = fs / 2\n", + "cutoff = 30\n", + "duration = 1.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create test signal: sum of frequencies\n", + "np.random.seed(42)\n", + "signal_clean = (np.sin(2 * np.pi * 10 * t) + # 10 Hz (alpha) - to keep\n", + " 0.5 * np.sin(2 * np.pi * 25 * t) + # 25 Hz (beta) - to keep\n", + " 0.3 * np.sin(2 * np.pi * 50 * t)) # 50 Hz - to remove\n", + "\n", + "# Design FIR filter (using firwin)\n", + "fir_order = 51 # Number of taps\n", + "fir_coeffs = firwin(fir_order, cutoff / nyquist, window='hamming')\n", + "\n", + "# Design IIR filter (Butterworth)\n", + "iir_order = 4\n", + "b_iir, a_iir = butter(iir_order, cutoff / nyquist, btype='low')\n", + "\n", + "# Get frequency responses\n", + "w_fir, h_fir = freqz(fir_coeffs, 1, worN=2048)\n", + "w_iir, h_iir = freqz(b_iir, a_iir, worN=2048)\n", + "freqs_fir = w_fir * nyquist / np.pi\n", + "freqs_iir = w_iir * nyquist / np.pi\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Plot 1: Magnitude response comparison\n", + "ax1 = axes[0, 0]\n", + "ax1.plot(freqs_fir, 20 * np.log10(np.abs(h_fir) + 1e-10), \n", + " color=COLORS[\"signal_1\"], linewidth=2, label=f'FIR (order {fir_order})')\n", + "ax1.plot(freqs_iir, 20 * np.log10(np.abs(h_iir) + 1e-10), \n", + " color=COLORS[\"negative\"], linewidth=2, label=f'IIR Butterworth (order {iir_order})')\n", + "ax1.axvline(x=cutoff, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax1.axhline(y=-3, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax1.set_xlabel('Frequency (Hz)', fontsize=11)\n", + "ax1.set_ylabel('Magnitude (dB)', fontsize=11)\n", + "ax1.set_title('Magnitude Response', fontsize=12, fontweight='bold')\n", + "ax1.set_xlim(0, nyquist)\n", + "ax1.set_ylim(-80, 5)\n", + "ax1.legend(loc='lower left', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Plot 2: Phase response comparison\n", + "ax2 = axes[0, 1]\n", + "phase_fir = np.unwrap(np.angle(h_fir))\n", + "phase_iir = np.unwrap(np.angle(h_iir))\n", + "ax2.plot(freqs_fir, np.degrees(phase_fir), color=COLORS[\"signal_1\"], linewidth=2, label='FIR')\n", + "ax2.plot(freqs_iir, np.degrees(phase_iir), color=COLORS[\"negative\"], linewidth=2, label='IIR')\n", + "ax2.axvline(x=cutoff, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax2.set_xlabel('Frequency (Hz)', fontsize=11)\n", + "ax2.set_ylabel('Phase (degrees)', fontsize=11)\n", + "ax2.set_title('Phase Response', fontsize=12, fontweight='bold')\n", + "ax2.set_xlim(0, nyquist)\n", + "ax2.legend(loc='lower left', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "ax2.annotate('FIR: Linear phase\\\\n(constant delay)', xy=(60, -400), fontsize=10,\n", + " ha='center', color=COLORS[\"signal_1\"], fontweight='bold')\n", + "ax2.annotate('IIR: Non-linear phase\\\\n(frequency-dependent delay)', xy=(60, -1200), fontsize=10,\n", + " ha='center', color=COLORS[\"negative\"], fontweight='bold')\n", + "\n", + "# Plot 3: Impulse response\n", + "ax3 = axes[1, 0]\n", + "# FIR impulse response is just the coefficients\n", + "fir_impulse = fir_coeffs\n", + "fir_time = np.arange(len(fir_impulse)) / fs * 1000 # ms\n", + "\n", + "# IIR impulse response (apply to impulse)\n", + "impulse = np.zeros(100)\n", + "impulse[0] = 1\n", + "iir_impulse = lfilter(b_iir, a_iir, impulse)\n", + "iir_time = np.arange(len(iir_impulse)) / fs * 1000 # ms\n", + "\n", + "ax3.stem(fir_time, fir_impulse, linefmt=COLORS[\"signal_1\"], markerfmt='o', basefmt='gray', \n", + " label='FIR')\n", + "ax3.plot(iir_time, iir_impulse, color=COLORS[\"negative\"], linewidth=2, label='IIR')\n", + "ax3.set_xlabel('Time (ms)', fontsize=11)\n", + "ax3.set_ylabel('Amplitude', fontsize=11)\n", + "ax3.set_title('Impulse Response', fontsize=12, fontweight='bold')\n", + "ax3.set_xlim(-5, 250)\n", + "ax3.legend(loc='upper right', fontsize=10)\n", + "ax3.grid(True, alpha=0.3)\n", + "ax3.annotate('FIR: Finite duration', xy=(100, 0.08), fontsize=10, color=COLORS[\"signal_1\"])\n", + "ax3.annotate('IIR: Decays exponentially', xy=(150, 0.15), fontsize=10, color=COLORS[\"negative\"])\n", + "\n", + "# Plot 4: Filter coefficients count\n", + "ax4 = axes[1, 1]\n", + "categories = ['FIR\\\\n(51 taps)', 'IIR\\\\n(4th order)']\n", + "fir_count = len(fir_coeffs)\n", + "iir_count = len(b_iir) + len(a_iir) # b and a coefficients\n", + "counts = [fir_count, iir_count]\n", + "colors_bar = [COLORS[\"signal_1\"], COLORS[\"negative\"]]\n", + "\n", + "bars = ax4.bar(categories, counts, color=colors_bar, width=0.5, edgecolor='black', linewidth=1.5)\n", + "ax4.set_ylabel('Number of Coefficients', fontsize=11)\n", + "ax4.set_title('Computational Complexity', fontsize=12, fontweight='bold')\n", + "ax4.grid(True, alpha=0.3, axis='y')\n", + "\n", + "# Add value labels on bars\n", + "for bar, count in zip(bars, counts):\n", + " ax4.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 1, \n", + " str(count), ha='center', va='bottom', fontsize=12, fontweight='bold')\n", + "\n", + "ax4.set_ylim(0, max(counts) * 1.2)\n", + "\n", + "plt.suptitle('FIR vs IIR Filter Comparison', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Summary:\")\n", + "print(f\" FIR filter: {fir_count} coefficients, linear phase, always stable\")\n", + "print(f\" IIR filter: {iir_count} coefficients, non-linear phase, can be unstable\")" + ] + }, + { + "cell_type": "markdown", + "id": "31aa07c5", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 6. Designing Filters in Python\n", + "\n", + "Now let's learn how to design filters using `scipy.signal`. We'll create reusable functions that are in our `src/filtering.py` module.\n", + "\n", + "### Key scipy.signal Functions\n", + "\n", + "| Function | Purpose | Filter Type |\n", + "|----------|---------|-------------|\n", + "| `butter()` | Butterworth filter design | IIR |\n", + "| `cheby1()` | Chebyshev Type I | IIR |\n", + "| `cheby2()` | Chebyshev Type II | IIR |\n", + "| `ellip()` | Elliptic filter | IIR |\n", + "| `firwin()` | FIR filter with window method | FIR |\n", + "| `firwin2()` | FIR with arbitrary frequency response | FIR |\n", + "| `iirnotch()` | Notch filter design | IIR |\n", + "\n", + "### Design Functions\n", + "\n", + "Let's implement wrapper functions for common filter designs:" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "239a1edd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Testing filter design functions:\n", + "==================================================\n", + "✓ Butterworth lowpass: 5 b coeffs, 5 a coeffs\n", + "✓ Butterworth bandpass: 9 b coeffs, 9 a coeffs\n", + "✓ FIR lowpass: 101 taps\n", + "✓ FIR bandpass: 101 taps\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# Filter Design Functions (from src/filtering.py)\n", + "# ============================================================================\n", + "\n", + "def design_iir_filter(\n", + " cutoff: float | Tuple[float, float],\n", + " fs: float,\n", + " order: int = 4,\n", + " btype: Literal['low', 'high', 'band', 'bandstop'] = 'low',\n", + " ftype: Literal['butter', 'cheby1', 'cheby2', 'ellip'] = 'butter',\n", + " rp: float = 1.0,\n", + " rs: float = 40.0\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"\n", + " Design an IIR filter.\n", + " \n", + " Parameters\n", + " ----------\n", + " cutoff : float or tuple of float\n", + " Cutoff frequency in Hz. For bandpass/bandstop, provide (low, high).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " order : int, default=4\n", + " Filter order.\n", + " btype : {'low', 'high', 'band', 'bandstop'}, default='low'\n", + " Filter type.\n", + " ftype : {'butter', 'cheby1', 'cheby2', 'ellip'}, default='butter'\n", + " IIR filter family.\n", + " rp : float, default=1.0\n", + " Maximum ripple in passband (dB). Used for cheby1 and ellip.\n", + " rs : float, default=40.0\n", + " Minimum attenuation in stopband (dB). Used for cheby2 and ellip.\n", + " \n", + " Returns\n", + " -------\n", + " b : ndarray\n", + " Numerator coefficients.\n", + " a : ndarray\n", + " Denominator coefficients.\n", + " \"\"\"\n", + " nyquist = fs / 2\n", + " \n", + " # Normalize cutoff frequency\n", + " if isinstance(cutoff, (list, tuple)):\n", + " normalized_cutoff = (cutoff[0] / nyquist, cutoff[1] / nyquist)\n", + " else:\n", + " normalized_cutoff = cutoff / nyquist\n", + " \n", + " # Select filter design function\n", + " if ftype == 'butter':\n", + " b, a = butter(order, normalized_cutoff, btype=btype)\n", + " elif ftype == 'cheby1':\n", + " b, a = cheby1(order, rp, normalized_cutoff, btype=btype)\n", + " elif ftype == 'cheby2':\n", + " b, a = cheby2(order, rs, normalized_cutoff, btype=btype)\n", + " elif ftype == 'ellip':\n", + " b, a = ellip(order, rp, rs, normalized_cutoff, btype=btype)\n", + " else:\n", + " raise ValueError(f\"Unknown filter type: {ftype}\")\n", + " \n", + " return b, a\n", + "\n", + "\n", + "def design_fir_filter(\n", + " cutoff: float | Tuple[float, float],\n", + " fs: float,\n", + " numtaps: int = 101,\n", + " btype: Literal['low', 'high', 'band', 'bandstop'] = 'low',\n", + " window: str = 'hamming'\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Design a FIR filter using the window method.\n", + " \n", + " Parameters\n", + " ----------\n", + " cutoff : float or tuple of float\n", + " Cutoff frequency in Hz. For bandpass/bandstop, provide (low, high).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " numtaps : int, default=101\n", + " Number of filter coefficients (filter length).\n", + " btype : {'low', 'high', 'band', 'bandstop'}, default='low'\n", + " Filter type.\n", + " window : str, default='hamming'\n", + " Window function to use.\n", + " \n", + " Returns\n", + " -------\n", + " h : ndarray\n", + " FIR filter coefficients.\n", + " \"\"\"\n", + " nyquist = fs / 2\n", + " \n", + " # Normalize cutoff frequency\n", + " if isinstance(cutoff, (list, tuple)):\n", + " normalized_cutoff = [c / nyquist for c in cutoff]\n", + " else:\n", + " normalized_cutoff = cutoff / nyquist\n", + " \n", + " # Design filter\n", + " if btype == 'low':\n", + " h = firwin(numtaps, normalized_cutoff, window=window)\n", + " elif btype == 'high':\n", + " h = firwin(numtaps, normalized_cutoff, pass_zero=False, window=window)\n", + " elif btype == 'band':\n", + " h = firwin(numtaps, normalized_cutoff, pass_zero=False, window=window)\n", + " elif btype == 'bandstop':\n", + " h = firwin(numtaps, normalized_cutoff, pass_zero=True, window=window)\n", + " else:\n", + " raise ValueError(f\"Unknown filter type: {btype}\")\n", + " \n", + " return h\n", + "\n", + "\n", + "# Test the design functions\n", + "print(\"Testing filter design functions:\")\n", + "print(\"=\" * 50)\n", + "\n", + "# Test IIR designs\n", + "b_butter, a_butter = design_iir_filter(30, fs=250, order=4, btype='low', ftype='butter')\n", + "print(f\"✓ Butterworth lowpass: {len(b_butter)} b coeffs, {len(a_butter)} a coeffs\")\n", + "\n", + "b_band, a_band = design_iir_filter((8, 13), fs=250, order=4, btype='band', ftype='butter')\n", + "print(f\"✓ Butterworth bandpass: {len(b_band)} b coeffs, {len(a_band)} a coeffs\")\n", + "\n", + "# Test FIR designs\n", + "h_fir_low = design_fir_filter(30, fs=250, numtaps=101, btype='low')\n", + "print(f\"✓ FIR lowpass: {len(h_fir_low)} taps\")\n", + "\n", + "h_fir_band = design_fir_filter((8, 13), fs=250, numtaps=101, btype='band')\n", + "print(f\"✓ FIR bandpass: {len(h_fir_band)} taps\")" + ] + }, + { + "cell_type": "markdown", + "id": "11ae3bc2", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 7. Comparing Filter Designs\n", + "\n", + "Let's visualize different IIR filter types (Butterworth, Chebyshev, Elliptic):" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "57df6031", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filter Characteristics Summary:\n", + "------------------------------------------------------------\n", + "Butterworth : Maximally flat passband, gentle transition\n", + "Chebyshev I : Ripple in passband, sharper transition\n", + "Chebyshev II : Flat passband, ripple in stopband\n", + "Elliptic : Sharpest transition, ripple in both bands\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 5: Comparing Different IIR Filter Designs\n", + "# ============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Parameters\n", + "cutoff = 30 # Hz\n", + "fs = 250\n", + "order = 4\n", + "filter_types = ['butter', 'cheby1', 'cheby2', 'ellip']\n", + "colors = [COLORS[\"signal_1\"], COLORS[\"signal_3\"], COLORS[\"signal_4\"], COLORS[\"negative\"]]\n", + "labels = ['Butterworth', 'Chebyshev I', 'Chebyshev II', 'Elliptic']\n", + "\n", + "# Left plot: Full frequency response\n", + "ax1 = axes[0]\n", + "for ftype, color, label in zip(filter_types, colors, labels):\n", + " b, a = design_iir_filter(cutoff, fs=fs, order=order, btype='low', ftype=ftype)\n", + " w, h = freqz(b, a, worN=2048)\n", + " freqs = w * (fs/2) / np.pi\n", + " mag_db = 20 * np.log10(np.abs(h) + 1e-10)\n", + " ax1.plot(freqs, mag_db, color=color, linewidth=2, label=label)\n", + "\n", + "ax1.axvline(x=cutoff, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax1.axhline(y=-3, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax1.set_xlabel('Frequency (Hz)', fontsize=11)\n", + "ax1.set_ylabel('Magnitude (dB)', fontsize=11)\n", + "ax1.set_title(f'IIR Filter Comparison (Order {order}, fc = {cutoff} Hz)', fontsize=12, fontweight='bold')\n", + "ax1.set_xlim(0, fs/2)\n", + "ax1.set_ylim(-80, 5)\n", + "ax1.legend(loc='lower left', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Right plot: Zoom on passband ripple\n", + "ax2 = axes[1]\n", + "for ftype, color, label in zip(filter_types, colors, labels):\n", + " b, a = design_iir_filter(cutoff, fs=fs, order=order, btype='low', ftype=ftype)\n", + " w, h = freqz(b, a, worN=2048)\n", + " freqs = w * (fs/2) / np.pi\n", + " mag_db = 20 * np.log10(np.abs(h) + 1e-10)\n", + " ax2.plot(freqs, mag_db, color=color, linewidth=2, label=label)\n", + "\n", + "ax2.axvline(x=cutoff, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax2.axhline(y=-3, color='gray', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "ax2.axhline(y=0, color='gray', linestyle=':', linewidth=1, alpha=0.5)\n", + "ax2.set_xlabel('Frequency (Hz)', fontsize=11)\n", + "ax2.set_ylabel('Magnitude (dB)', fontsize=11)\n", + "ax2.set_title('Zoom: Passband and Transition', fontsize=12, fontweight='bold')\n", + "ax2.set_xlim(0, 60)\n", + "ax2.set_ylim(-20, 2)\n", + "ax2.legend(loc='lower left', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Add annotations\n", + "ax2.annotate('Butterworth:\\\\nMaximally flat', xy=(10, -0.5), fontsize=9, color=COLORS[\"signal_1\"])\n", + "ax2.annotate('Chebyshev I:\\\\nPassband ripple', xy=(10, -4), fontsize=9, color=COLORS[\"signal_3\"])\n", + "ax2.annotate('Elliptic:\\\\nSharpest transition', xy=(35, -12), fontsize=9, color=COLORS[\"negative\"])\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Filter Characteristics Summary:\")\n", + "print(\"-\" * 60)\n", + "print(\"Butterworth : Maximally flat passband, gentle transition\")\n", + "print(\"Chebyshev I : Ripple in passband, sharper transition\")\n", + "print(\"Chebyshev II : Flat passband, ripple in stopband\")\n", + "print(\"Elliptic : Sharpest transition, ripple in both bands\")" + ] + }, + { + "cell_type": "markdown", + "id": "7bdbfba3", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 8. Exercises\n", + "\n", + "### 🎯 Exercise 1: Design a Custom Beta Filter\n", + "\n", + "**Task:** Design a bandpass filter for the beta band (13-30 Hz) with:\n", + "- Order 6 Butterworth IIR filter\n", + "- Visualize the frequency response\n", + "- Verify the -3 dB points are near 13 and 30 Hz\n", + "\n", + "```python\n", + "# Your code here\n", + "fs = 250\n", + "\n", + "# Design order 6 Butterworth bandpass for beta (13-30 Hz)\n", + "# b, a = design_iir_filter(cutoff=(???, ???), fs=fs, order=???, btype='band')\n", + "\n", + "# Plot frequency response\n", + "# ...\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "fs = 250\n", + "\n", + "# Design order 6 Butterworth bandpass for beta (13-30 Hz)\n", + "b, a = design_iir_filter(cutoff=(13, 30), fs=fs, order=6, btype='band', ftype='butter')\n", + "\n", + "# Plot frequency response\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "w, h = freqz(b, a, worN=2048)\n", + "freqs = w * (fs/2) / np.pi\n", + "mag_db = 20 * np.log10(np.abs(h) + 1e-10)\n", + "\n", + "ax.plot(freqs, mag_db, color=COLORS[\"signal_1\"], linewidth=2)\n", + "ax.axvline(x=13, color=COLORS[\"negative\"], linestyle='--', label='13 Hz')\n", + "ax.axvline(x=30, color=COLORS[\"negative\"], linestyle='--', label='30 Hz')\n", + "ax.axhline(y=-3, color='gray', linestyle='--', alpha=0.5)\n", + "ax.axvspan(13, 30, alpha=0.2, color=COLORS[\"signal_3\"], label='Beta band')\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Magnitude (dB)')\n", + "ax.set_title('Beta Band Filter Response (Order 6)')\n", + "ax.set_xlim(0, 60)\n", + "ax.set_ylim(-60, 5)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Find -3dB points\n", + "idx_low = np.argmin(np.abs(mag_db[:len(mag_db)//2] - (-3)))\n", + "idx_high = np.argmin(np.abs(mag_db[len(mag_db)//2:] - (-3))) + len(mag_db)//2\n", + "print(f\"Low -3dB point: {freqs[idx_low]:.1f} Hz\")\n", + "print(f\"High -3dB point: {freqs[idx_high]:.1f} Hz\")\n", + "```\n", + "\n", + "
\n", + "\n", + "### 🎯 Exercise 2: Compare FIR and IIR Efficiency\n", + "\n", + "**Task:** Compare a FIR and IIR filter that achieve similar frequency responses:\n", + "- Design both to lowpass at 40 Hz\n", + "- Compare the number of coefficients needed\n", + "- Visualize their magnitude responses\n", + "\n", + "```python\n", + "# Your code here\n", + "fs = 250\n", + "cutoff = 40\n", + "\n", + "# Design IIR (order 4)\n", + "# b_iir, a_iir = design_iir_filter(???)\n", + "\n", + "# Design FIR (numtaps 101)\n", + "# h_fir = design_fir_filter(???)\n", + "\n", + "# Compare responses\n", + "# ...\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "fs = 250\n", + "cutoff = 40\n", + "\n", + "# Design IIR (order 4)\n", + "b_iir, a_iir = design_iir_filter(cutoff, fs, order=4, btype='low')\n", + "\n", + "# Design FIR (numtaps 101)\n", + "h_fir = design_fir_filter(cutoff, fs, numtaps=101, btype='low')\n", + "\n", + "# Get frequency responses\n", + "w_iir, h_resp_iir = freqz(b_iir, a_iir, worN=2048)\n", + "w_fir, h_resp_fir = freqz(h_fir, 1, worN=2048)\n", + "freqs = w_iir * (fs/2) / np.pi\n", + "\n", + "# Plot comparison\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Magnitude response\n", + "ax1 = axes[0]\n", + "ax1.plot(freqs, 20 * np.log10(np.abs(h_resp_iir) + 1e-10), \n", + " color=COLORS[\"negative\"], linewidth=2, label=f'IIR ({len(b_iir) + len(a_iir)} coeffs)')\n", + "ax1.plot(freqs, 20 * np.log10(np.abs(h_resp_fir) + 1e-10), \n", + " color=COLORS[\"signal_1\"], linewidth=2, label=f'FIR ({len(h_fir)} coeffs)')\n", + "ax1.axvline(x=cutoff, color='gray', linestyle='--')\n", + "ax1.set_xlabel('Frequency (Hz)')\n", + "ax1.set_ylabel('Magnitude (dB)')\n", + "ax1.set_title('Magnitude Response Comparison')\n", + "ax1.legend()\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Coefficient count\n", + "ax2 = axes[1]\n", + "bars = ax2.bar(['IIR', 'FIR'], [len(b_iir) + len(a_iir), len(h_fir)],\n", + " color=[COLORS[\"negative\"], COLORS[\"signal_1\"]])\n", + "ax2.set_ylabel('Number of Coefficients')\n", + "ax2.set_title('Computational Efficiency')\n", + "for bar in bars:\n", + " height = bar.get_height()\n", + " ax2.text(bar.get_x() + bar.get_width()/2., height,\n", + " f'{int(height)}', ha='center', va='bottom', fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"IIR: {len(b_iir) + len(a_iir)} coefficients\")\n", + "print(f\"FIR: {len(h_fir)} coefficients\")\n", + "print(f\"Efficiency ratio: {len(h_fir) / (len(b_iir) + len(a_iir)):.1f}x more coefficients for FIR\")\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "34f558a9", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 9. Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "#### Filter Types\n", + "| Filter | Purpose | Typical Use in EEG |\n", + "|--------|---------|-------------------|\n", + "| **Lowpass** | Remove high frequencies | Anti-aliasing, remove muscle artifacts |\n", + "| **Highpass** | Remove low frequencies | Remove DC, drifts |\n", + "| **Bandpass** | Keep frequency range | Extract specific bands (alpha, beta) |\n", + "| **Notch** | Remove specific frequency | Power line noise (50/60 Hz) |\n", + "\n", + "#### FIR vs IIR\n", + "| Aspect | FIR | IIR |\n", + "|--------|-----|-----|\n", + "| Phase | Linear (can be zero-phase) | Non-linear (can be zero-phase with filtfilt) |\n", + "| Stability | Always stable | Can be unstable |\n", + "| Order | Higher needed | Lower sufficient |\n", + "| Best for | Phase-sensitive analysis | General preprocessing |\n", + "\n", + "#### Critical Points\n", + "\n", + "1. **Filter order** controls transition sharpness (higher = sharper)\n", + "2. **-3 dB point** is where power drops to half\n", + "3. **FIR filters** have linear phase but need more coefficients\n", + "4. **IIR filters** are more efficient but can have phase distortion\n", + "5. **Design functions** provide control over filter characteristics\n", + "\n", + "### Functions in src/filtering.py\n", + "\n", + "| Function | Description |\n", + "|----------|-------------|\n", + "| `design_fir_filter()` | Design FIR filter with window method |\n", + "| `design_iir_filter()` | Design IIR filter (Butterworth, Chebyshev, etc.) |\n", + "\n", + "---\n", + "\n", + "### Next Steps\n", + "\n", + "In notebook **A04b: Applied Filtering**, we will learn how to:\n", + "- Apply filters to real signals (lowpass, highpass, bandpass, notch)\n", + "- Handle filter artifacts (edge effects, ringing)\n", + "- Use zero-phase filtering to preserve timing\n", + "- Integrate with MNE-Python for EEG preprocessing" + ] + }, + { + "cell_type": "markdown", + "id": "cdd8ac0a", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 10. External Resources\n", + "\n", + "### 🎥 Video Overview\n", + "\n", + "- **[Filter Fundamentals - Video Overview](https://notebooklm.google.com/notebook/7ff28d85-f955-4901-a0d2-8fab0d77a0e4?artifactId=d48177da-5a5f-4c56-8ce4-59e23bb20406)** — AI-generated video summary of this notebook's key concepts\n", + "\n", + "### 📝 Practice & Review\n", + "\n", + "Test your understanding with these AI-generated study materials:\n", + "\n", + "- [**📋 Quiz: Filter Fundamentals**](https://notebooklm.google.com/notebook/7ff28d85-f955-4901-a0d2-8fab0d77a0e4?artifactId=801ae525-4306-46a0-9d3c-e9c9cad0c8a5) — Test your knowledge\n", + "- [**🃏 Flashcards: Filter Fundamentals**](https://notebooklm.google.com/notebook/7ff28d85-f955-4901-a0d2-8fab0d77a0e4?artifactId=43b0f20f-147e-456a-b323-02586e5a749c) — Review key concepts\n", + "\n", + "### 🎥 Video Tutorials\n", + "\n", + "- [**Digital Filter Design**](https://www.youtube.com/watch?v=uNNNj9AZisM) — Introduction to digital filter design (20 min)\n", + "- [**FIR vs IIR Filters**](https://www.youtube.com/watch?v=0ql8Z1fPqQo) — Comparison of filter types (15 min)\n", + "- [**Butterworth Filters**](https://www.youtube.com/watch?v=HJ-C4Incgpw) — Understanding Butterworth filter design (12 min)\n", + "\n", + "### 📖 Further Reading\n", + "\n", + "- [Digital Filter Design (Wikipedia)](https://en.wikipedia.org/wiki/Digital_filter) — Overview of digital filtering\n", + "- [scipy.signal Documentation](https://docs.scipy.org/doc/scipy/reference/signal.html) — Complete API reference\n", + "- [MNE Filtering Guide](https://mne.tools/stable/auto_tutorials/preprocessing/25_background_filtering.html) — Best practices for EEG filtering" + ] + }, + { + "cell_type": "markdown", + "id": "6f794f37", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 11. Discussion Questions\n", + "\n", + "1. **Why is the -3 dB point used to define cutoff frequency?**\n", + "\n", + "2. **When would you prefer FIR over IIR filters?**\n", + "\n", + "3. **What are the trade-offs between narrow and wide transition bands?**\n", + "\n", + "4. **How does filter order affect computational cost and filter sharpness?**\n", + "\n", + "5. **For connectivity analysis, why does phase response matter?**" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04a_filter_fundamentals_quick.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04a_filter_fundamentals_quick.ipynb new file mode 100644 index 0000000..a50ed25 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04a_filter_fundamentals_quick.ipynb @@ -0,0 +1,687 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# A04a: Filter Fundamentals (Quick Version)\n", + "\n", + "**Duration**: ~30 minutes \n", + "**Prerequisites**: A01 (Signals and Sampling), A02 (Frequency Domain), A03 (Power Spectrum)\n", + "\n", + "> 💡 **Quick Version**: This notebook imports pre-built functions from `src/filtering.py` instead of defining them inline. For the full tutorial with step-by-step function implementations, see [A04a_filter_fundamentals.ipynb](A04a_filter_fundamentals.ipynb).\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "- Understand the four fundamental filter types (lowpass, highpass, bandpass, notch)\n", + "- Distinguish between FIR and IIR filter architectures\n", + "- Explain key filter characteristics (cutoff frequency, transition band, filter order)\n", + "- Use the filter design functions from `src/filtering.py`\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Filter Types](#section-2-filter-types)\n", + "3. [Filter Characteristics](#section-3-filter-characteristics)\n", + "4. [FIR vs IIR Filters](#section-4-fir-vs-iir-filters)\n", + "5. [Filter Design Functions](#section-5-filter-design-functions)\n", + "6. [Comparing IIR Filter Types](#section-6-comparing-iir-filter-types)\n", + "7. [Exercises](#section-7-exercises)\n", + "8. [Summary](#summary)\n", + "9. [External Resources](#external-resources)\n", + "10. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumPy version: 2.3.5\n", + "Source path: /Users/remyramadour/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy.signal import freqz\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parents[2]\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from src.colors import COLORS\n", + "from src.filtering import design_iir_filter, design_fir_filter\n", + "from src.signals import generate_time_vector, generate_sine_wave\n", + "\n", + "# Matplotlib configuration\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"figure.figsize\"] = (10, 5)\n", + "plt.rcParams[\"font.size\"] = 11\n", + "\n", + "print(f\"NumPy version: {np.__version__}\")\n", + "print(f\"Source path: {src_path}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 1: Introduction\n", + "\n", + "Digital filters are essential tools in EEG signal processing. They allow us to selectively pass or attenuate specific frequency components, enabling us to isolate brain rhythms of interest, remove noise, and prepare signals for connectivity analysis.\n", + "\n", + "In hyperscanning studies, proper filtering is crucial because connectivity metrics are sensitive to artifacts and noise. A poorly filtered signal can create spurious correlations between participants, while over-filtering can remove the very neural activity we want to study.\n", + "\n", + "This notebook focuses on the **fundamentals of filter design**: understanding filter types, their frequency responses, and the trade-offs between different filter architectures. We will use the functions from `src/filtering.py` to design and visualize filters." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 2: Filter Types\n", + "\n", + "There are four fundamental filter types, each defined by which frequencies they pass and which they attenuate:\n", + "\n", + "- **Lowpass**: Passes frequencies below a cutoff, attenuates higher frequencies\n", + "- **Highpass**: Passes frequencies above a cutoff, attenuates lower frequencies \n", + "- **Bandpass**: Passes frequencies within a range, attenuates frequencies outside\n", + "- **Notch (Band-stop)**: Attenuates a narrow frequency range, passes everything else\n", + "\n", + "Each filter type serves specific purposes in EEG preprocessing:\n", + "- Lowpass filters remove high-frequency noise (muscle artifacts, line noise)\n", + "- Highpass filters remove slow drifts (electrode drift, movement artifacts)\n", + "- Bandpass filters isolate specific frequency bands (alpha, theta, etc.)\n", + "- Notch filters remove powerline interference (50 Hz or 60 Hz)" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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prHibxOSvkuoGhxRX10txVb1pgu60vSRDtpf2kyibyIi9DRKdv1YyEmPMNMBWj5udLWPGHHzdL1y40Os+ZGZmyrhx41zff/HFF14DuvT0dJkw4eDr/quvvpJ6L+8RKSkpMnHiRNf3ixcvlpqaGo/bJiYmylFHHeX6funSpVLl5T0iPj5eJk+e7Pp++fLlUl5+YGWrFmJiYmTq1Kmu71euXCklJQeXY9fjs7KyUpKSksxr+Pjjj3fdt2rVKikqKhJvTjjhBNf1tWvXSkFBgddtjzvuONd7xIYNG2TPnj1et50yZYrExja9R2zatEl2797tdVsdBx0PtXXrVtm5c6fXbSdNmmT+nWrHjh2ybZv31/0RRxwhqalNS9Xn5eXJli3eX/d6POhxofLz82XFihXmedxf705jx46VrKwsc33fvn2ybt06r487evRoycnJMdd1bNes8f66HzlypOTm5prr+jvT37M3w4YNkz59+pjrpaWl5vjxZvDgwdK/f9PrXo+xZcuWed124MCB5qL02NXj3Zt+/frJkCFDzPXa2lrzOvKkwstnH/xr0aJFkpyc3Or25F3FMkoSzXVbXKx8+e0Srwmb9NRUGT/q4Hvu1yu+9f7emJQsRxx2MNZasnKF1HiJn5ISEuXIceNd33+7epVUVnt5b4yLk6MnHIy1VqxdI+WVFV7fG6cccaTr+1Ub1klJWZnHbfW969gjD74/r964QYpKPMRPYklVdbWcNu1E123rNm+SgiLv8ZM+rvO9ceO2LbKnjffRY444UmJjmlac3bxju+ze6/199OgJh0t83IH3xrydkpfv/X30SI2JEpt+zzt275Ltu/K8bnv4mLGSeuBY2bV3j2zZsd3rtuNHjZb01Kb4Kb9gn2zattXrtocNHylZGRnm+r79hbJ+y2bXeCYmJIjNmUXR98ahwyX7wPtoYVGRrNm0wevjjhg8RHKzm95Hi0pKzO/Zm6EDB0mfnk3vo6XlZeb48WZw/wHSr1dTrFVeWSnfrvb+njugT18Z2Lefua7/Hj3evenbq7cM6T/AXK+tq5Wvl3uPtXr3zJVhA5tirfqGBlm0zHuslZudLcMGDTbXNb75cmkbcVlmloweNtz1/edLvvG6bWZ6howdMdL1/aJvl0bMe4T78RkdFe3Te4TTtKOPcV3nPeLA31jFRbJ+y6Zmr/VDvUd4E+nvERVVB/s7+gOJKAARQT+AEmOizKV3apzU1DclpfZrUurANjqLb83eSrHll0t0lE16JsdJ77Q4mpwDgD/V1YtoTjgmSmxRB6tGAQBAZLBZbdWfRbiysjJJS0uTFZt3SkZ6U6bUHVPz2j81r6yoUDKye4rtQMkvpeUdLy13jmdqZg/XeLbcNtSnx4TCtnpfQWW9bN5fLRsLK6VOs1FW8237pMXLkX3TZFRussRFR1Fa7uPUPK3M0cob/T1QWt65EvCGhgbZu3evazzb2pbS8kO/7rV6r0ePHqZyy1mhBv/HT4WFha6qPif9vVT/4yOxWyK25ASJO3Z8SEyLC/WpeQVFRab6xG4jfups2wbneGZnZrrGs+W2oR67hNK2Wmii49lDq0ra+KuSqXm+T81zPz6Jnzr+utex3FtYaI5N99d6Zx83nF6fdj9uW1JWKj2HDfZb7ERFlA+i7FHN3gS8bufDNh3Z1h5u23r4I0lZeoC3eBxv27bncSN1W+d46rHknohq+abi67EWydv2Sos2U/hGp9RLmT1ZNu6vlm3F1eI48Fm0q7xedq0tlPc2Fsn4XikysW+a5KbGBfR1H+7bOsdcLy2P71B6HYXTtt7GszOPGw6vz0Bs255jGx3nPGbdWbX1JgllxMWE7HtYV2zr7bVrs1ofy6HyvhSO2zrH07yfevnjNNTfw0JpW/1j37lte34fofCaC8Vt2zo+Q+l1FE7btvVa7+jjhsvr05/bRvm5gplEFAAcoD2hBmQkyMCsJKlpaJSNBVWydl+FFFc3mPu1r9Q3O0vNpU9anBzdP13G5CZLdDs+uAAgklk6Le8AW2xTIgoAAEQWElEA4EF8dJSM7ZUih+Umm5X31u6rlE37q6TxQJnUrtJaeWPlXnl/faFM6pcmR/ZLk5Q43lIBwOdEVAzvmQAARCIiAAA4RHlqz5Q4czlmQLpsKqySNfsqpKiq6Y+pyrpG+XRzkXy2pchUR03unyF905tWFAIASKupeS4kogAAiEgkogDAR3HRdpNsGt0zSfaU18mqPeWytaja9ObUQqmV+RXmotP2jhmQIaN7JkuU3fNysQAQkaiIAgAg4pGIAoAOVEn1So0zl4raBlm9t8JM3dMeUs5pe//8bo+kxUfLlIEZckSfVImNpo8UADA1DwAAkIgCgE5Ijos2Tcsn9k010/ZW7jk4ba+0pkHeXVcgn27aL0f1T5ej+qeZ7QEgUjE1DwAA8BcRAPiBrpw3MidZRmQnye6yWlmxu0x2ltaa+6obHPK/LUXyxbZimdAnVaYMSJespFjGHUDEoSIKAACQiAIAP0/b65MWby77K+tkRX65WW3PskQaHJYs2VlqLto/atrgTMlNjWP8AURkjyiJierKPQEAAF2ERBQABIhWPZ00NEuO6pcmK/eUy5q9lSYZpdbsrTAXraCaNiTTJK4AIJKm5tlYNQ8AgIhEIgoAAkz7Qukqekf0STPJJ01KVdc3NTZfX1BpLkOyEk1CakBGAr8PABExNU9IRAEAEJFIRAFAkMRF2+XwPqkytleyrNtXKd/uKpeq+kZz3+b9VeYyMCPBJKQGZSaYaX4A0C0roqLsYrOzmigAAJGIRBQABPuN126Xw3JTZFROsqmG+nZXmVTUNSWkthVXy7Ylu6RvWrycMCRThvZIJCEFoPtVRFENBQBAxCIRBQBdJMpuM03LtU+UNjTXhFRpTYO5L6+0Rv66bLf0SYuTk4dmyeAsElIAwpulqzbUNb3H2aJpVA4AQKQiEQUAIZCQ0mTUsB6JsmV/lSzbVSbF1U1/rO0qrZW/LN0t/dPj5aRhWTIoM7GrdxcAOqbRIeJo6o9HRRQAAJGLRBQAhAi7zSZDeySZxuVbi6plSV6pKyG1o6RGXlq8y/SO0pX4+tPUHECYseqb3s8UK+YBABC5SEQBQIjRJuU6FU+TTpv3NyWknFP2NEH1/Dd5JlmlCam+6fFdvbsA4Bu3RJQwNQ8AgIhFIgoAQjghpc3KB2clyKbCKlmaVyZltQ3NVtkb3iNRThyWJb1TSUgBCG1WQ9OiDMoWxYp5AABEKhJRABAGU/aGZyeZpNSGgkqTkHKusrehsMpcRuYkycnDsiQnOa6rdxcAPHNLREkUzcoBAIhUJKIAIIwSUiNzkmVYjyRZX1BpmppXHkhIrdtXKev3Vcr43ily4tAsSU+I6erdBQDvPaKYmgcAQMQiEQUAYbjK3uieyWalvbX7KuTbXWVSVe8QS0SW7y6XlfnlcmS/dDl+cIYkx/E2DyAUK6KYmgcAQKTiLxQACOOE1GG5KSYhtXpPhXy7u0zqGi1ptES+3lEiy3aVypQBGTJlYLrExzANBkDo9Ihiah4AAJGLRBQAhLmYKLtM6JMqo3omy/LdZbJqT4U0OCypb7Tkf1uK5JudJXLc4Ew5ql+a2RYAukQDU/MAAIAIf5EAQDcRF22Xo/uny0UTesmYnsliszXdXl3vkA/WF8oTC7fJ0rxSaXToJD4ACC6rnql5AACARBQAdDuJsVFy7KAMuXB8LxnWI9F1e3lto/x79T558ovtsnpPuTgsElIAgsh9ah7NygEAiFhhVxH14YcfysUXXyxDhgwRm80mP/vZzzxuV1dXJ7Nnz5bc3FxJSkqS6dOny/r164O+vwDQVVLjo+WkoVly3rie0j893nV7UVW9/GPFHvnzop2yqbCSXxAQAUIhfrLcp+YxTRgAgIgVdomo9957T1asWCHTpk2T9PR0r9vdcMMN8uyzz8q8efPkjTfekNraWjn55JOltLQ0qPsLAF0tKzFWZo7MlrPG5EivlFjX7fnltfLy0t3yf4vzZHdpTZfuI4AIiJ9oVg4AAMIxEfW73/1OVq9eLS+88IKkpaV53CYvL0+ee+45eeihh+SKK66QU089Vf71r39JSUmJPPPMM0HfZwAIBbkpcXLG6ByZObKHZCXGuG7fUlQtz3y1U+avyDfVUgC6n1CIn9x7RNmYmgcAQMQKu0SU3X7oXf7ggw/E4XDI+eef77otMzNTZsyYIe+8806A9xAAQpdOyemfniDnju0pJw/NlJS4KNd9utreHz7fJu+sLZDKuoNTaACEv1CIn9yn5glT8wAAiFhhl4jyxbp16yQnJ0cyMjKa3T5q1ChzHwBEOk1IDe2RJD8c30umDEiX+OimjwNdUO/rHSXy+Gfb5H+bi6SuwdHVuwqgu8RP9W6JKCqiAACIWNHSDRUXF3vsf6CBVVFRkdef0z4IenEqKyszXy1xiOXgj7HOsiyHWJZlvgrDyXiGmEg9PjX9dFjPJBneI0FW5FfIyj0V0uCwpK7Rko837TdJqROGZMgRvVPFbrf5/LhaVaHjqV/ReYynf3FcBid+0nF2H2vL2SPKpm+zltj0/RaHPl7NZ5N1YKVTxqyzGE//YjwZz1DFself/l5tu8sTUdr8Mj8//5DbDR48WGJjDzbZDYT7779f5s6d2+r28uIisTe6LTmMDtEgqrK8zFWNgc5hPP2L8RQZnijSr3+MrCpqkK1l+meiSGVdo7y9tlA+37JfJveKk0Gp0T69fvWPT31/13H1ZUoQGM9g6g4Ll4RD/FRQUGBW4XNKrKkVnQzssNulsLg4oPvUnei7cVlFuVg2PXlA/MR4hhaOT8YzVHFs+ldpRdPf8d0mETV//nyZNWvWIbdbu3atjBw50qfH1DN3noJMPdOnvQ68ue222+Tmm29udkavX79+kpKRKWlpzcvU0X6m0kRE0jKzxGbjD9POYjz9i/Fsoi2Mc3NESqrr5Zu8MtlW3LSaXmmtJe9vq5G+aXEyfViW9M9IOGQiShNW2dnZJKL8gPH0r0AnZoIhHOInff27V1hVW2vNV3t0lGS38XhofRbaZon0yMgUOyfyOo3x9C/Gk/EMVRyb/hXj5yn1XZ6IuvLKK83FnzTg2rt3rwmc3PscaH+DtoKxuLg4c2nJpuefOKPfeY6mSihNQjGejGfI4fhsJiMpTk4dkS17ymvlq+0lsreiqaohr7RWXlyyW0ZkJ8kpw7MkJ7n1e6aTvt61GoqKKP9gPP2nOxyT4RA/tXr9H6gu1xXz7JyQaoemxL4moRg3f2A8/YvxZDxDFcemP/n7REj4R2Ie6OouGvi8/vrrrts0qNLVYE4//fQu3TcACCe5KXFy1pgcOXV4D0mPP3juYn1BpTz1xQ7516q9UlpT36X7CCD04yedpiv1B9ocRPn3rCoAAAgvXV4R1V7bt2+XxYsXm+tVVVWyefNm+ec//2m+P++888zXvn37mrOEs2fPlqioKOnTp4/MmzdP0tLS5Oqrr+7S/QeAcKNn4gdmJkj/jHjZUFApi3eWSlV9Uw+pb3eVycr8cpk8IF2OHZQhCTH8gQmEoi6PnxrdmmxHdcvzoAAAoLsmoj755BO5/PLLXd+/99575uI623bAE088IcnJyXLrrbdKeXm5TJ06VRYsWGCCKQBAx0pyR+Yky5CsRFm1p0K+3V0m9Y2WWWXv863FsnRnqRw/JFOO6p/WPcttgTDW5fGTc8W8A1PzAABA5LJZ7tEHmtFmmxp4rdq6u1mvBHSMpatoFRVKWmYPekT5AePpX4xn+9XUN8qyXWWyem+FONw+SdLio+WkoZnS014lPXv27Bb9eEKhWfm+ffskJyeH8fSDkpISV2Pu1NRUfzwkPMRPOq3P2azcUVEt1W99Zq7bczMldsJwxsxHDsshBUVFpsE7PaI6j/H0L8aT8QxVHJv+VVJWIj0GD/Rb7MRfBwCADomPiZIpAzPkwvG9ZGhWouv20poGeXPVPpm/oUo2FVY1q7YAEKEONCo3SE4DABDRSEQBADolJT5aTh6WJeeO7Sl90w6unLW/xiGvfJsv/7dkl+wurWGUgQhmufWIstEjCgCAiEYiCgDgFz2SYuV7o3Lke6OyJSsxxnX71qJqeearnfKPFflSVFXHaAORyK1HFBVRAABENhJRAAC/6psWLz8Yky3H9IyWlLiDTYlX76mQP3y+Xd5eu08qahsYdSCSsGoeAAAI11XzAAChz2azSf+UKBndL0vWFVbJ0rwyqWlwmKbm3+woleW7ymTqwAw5ZmCGxEVzTgTo7iy3HlFMzQMAILKRiAIABEyU3SaH5abI8B5JsiK/XL7LL5cGhyV1jZZ8srlIvtlZKicMyZSJfdPMtgAioCKKZuUAAEQ0TkMDAAIuNtouk/qlyUUTesmonCRxppwq6xrl7bUF8uQX22X1nnJW2AMioCJKaFYOAEBEIxEFAAiaxNgoOX5wplwwPlcGZSS4bi+qqpd/rNgjz361U7YVVfEbAbqbBiqiAABAExJRAICgS0+IkRkjesjZY3IkNyXWdfuuslp5cfEu+evSXbK3vJbfDNBd0CMKAAAcQI8oAECX6ZkSJ2eOzpEdJTXy9Y4SKa5uWk1vY2GVbCzcIRN6p8iJQ7NM4gpA+GJqHgAAcCIRBQDo8hX2BmQkSL/0eNlYUCWL80pN7yi1fHe5rNxTIUf3T5PjBmWaqX0AwhBT8wAAwAEkogAAIcFus8mInCQZ0iNBVu2pkG93lZnV9Rodlny5rUSW5ZXJcYMz5Oj+6RJDs2MgbCuibLx+AQCIaPSIAgCElGi7XSb0TpWLD+8t43uliP3AEns1DQ75cMN++f3C7fLtrlJxWFZX7yoAXzXSrBwAADQhEQUACElx0XaZPCBdLprQS4ZnJ7puL6ttkH+t2idPfbFD1u+rEIuEFBD63CqihIooAAAiGokoAEBIS46LlhOHZMn543pK//R41+0FlXXy6rf58uLiPNlZUt2l+wigbRYVUQAA4AASUQCAsJCZGCszR2bLGaOzJTsp1nX79uIaee7rPHnt291SWFnXpfsIwIsGekQBAIAmNCsHAISV3qnxcs5hcbK1qFq+2VkqpTUN5va1+yplXUGlTOyTKicMzZKUOD7igJCsiGJqHgAAEY0oHQAQdmw2mwzOSpQBGQmyvqBSluwsleoGh2i7qCV5ZbJid7kcMzBDpg5Kl/joqK7eXQDuPaLsFOQDABDJSEQBAMJWlN0mo3smy7AeibIyv1yW7y6XeodlLp9tKZIlO0tk2pAsObJfmkQ7l98DEHSWc2qeTcRGIgoAgIjW7kSUw+GQ5cuXy9dffy35+flSXV0tWVlZMmLECDn22GMlOzs7MHsKAIAXMVF2OaJvmozqmSzLdpXJmr0V4rBEquod8u66Alm0vVhOGdZDxuQmi91GQgrBF/Hxk3NqHkkoAAAins+JqM2bN8sf//hHeeWVV6SgoECioqIkPT1d4uLipKSkRKqqqsxUieOOO05mzZolF110kdgJNgAAQZQQEyVTB2bIYbkpsnhniWze37SaXkl1g/zzuz2ycEusTB/eQ4b2SDSfWUCgET+1mJpHbAgAQMTzaZL+VVddJWPGjJEVK1bI3LlzTUVUTU2NSUjl5eVJRUWF7Nu3T/773//K+PHjZc6cOTJ69Gj58ssvI36AAQDBlxYfbSqgfnBYT+mTGue6fW9Fnfx12W554Zs82VHclKQCAoX4yUOzchqVAwAQ8XyuiFq9erUMGTLE6/09evSQmTNnmsujjz4qr776qmzbtk2mTJkS8YMMAOga2cmx8v3ROZJXUiNf7yyRwsp6c/uOkhp5/ps8Gd4jUU4e3kNyUw4mqwB/In5qXhFFfygAAOBTIurPf/5zu0ZKp+39+Mc/ZnQBACGhb3q89EnrKVuLquWbnaVSWtNgbt9QWCUbCnfIuF4pcuLQLMlMjOnqXUU3QvzkpoGKKAAA0IRV8wAAEUF7Qg3OSpSBmQmyoaBSluSVSWVdU5XGd/nlsmpPuRzZN02OH5IpKXF8PAL+YunKAZbV9A1T8wAAiHg+9YhSZWVl8t5778l//vMfKS8vN7etWrVKLrjgAtM/atq0afLaa69F/IACAEKbrpo3MidZLpyQK5P7p0lcVFPTcv1bWaulnvhsmyzYWCjV9QeaKwOdQPzk1qjcvAB9Dj0BAEA35dMpX004nXrqqZKfn2++z8nJkX/+859y5plnSnR0tAwePFjWrFkjl1xyiSQlJckZZ5wR6P0GAKBTou12Gd871SSltCJKLw0OS+odlizcUiyLd5TKcYMz5ej+aRJDFQc6gPjpAGejcq1M5LUEAEDE8+m01O233y49e/Y0q+Vt2rRJjj32WDnnnHPMV10176uvvpKdO3fK9OnT5cEHH4z4QQUAhI+4aLtM6pcmFx/eSw7LTRZ7U4GU1DQ45MMNhfLEwm2yZGepNGrJFNAOxE9NLPeKKBJRAABEPJ8SUd98843ccccdMm7cOFP99PDDD8v+/fvluuuuk9jYWLNNfHy8/OxnP5O1a9dG/KACAMJPQkyUTB2YIReO72VW03Mqr22U/6zZJ09+sV1W5ZeLw9nrBjgE4qfWFVFMzQMAAD4lovbt2yd9+/Z1fe+8rlP03GVnZ0tJSQmjCgAIWynx0WYFvfPH5crAjHjX7UVV9TL/uz3yzKKdsrGgUiwSUjgE4icPU/PoEQUAQMSzt2e1IU/XAQDojjITY+TUEdly9pgc6ZUS57p9T3mt/HXZbnlxcZ7sLKnu0n1E6CN+0lXz3CuiiCEBAIh0Pq9P/be//U0+//xzc93hcJjA6pVXXpFPP/3Utc2OHTsCs5cAAHSRnilxcsbobMkrrZWvd5TI/qp6c/v24hp57us8GZGdJCcPyzLbAS0RPzE1DwAAdDAR9cQTT7S67bHHHmt1G9VSAIDuRj/b+qXHS9+0nrKlqFoW7yyV0poGc9/6gkpzGdcrxUzp00oqwIn4yZzBPHhAUBEFAEDE8ykRpRVQAABEOk1IDclKlEGZCSb5tGRnmVTVN60I9l1+uazaUy5H9EmVaUOyJDXe53M96KaIn5pY9IgCAABuiJIBAGgnu80mo3KSZViPRFm9p0K+3VUmtY2WOCyRJXll8u3ucjmqX5ocNzhDkmL5qEWEoyIKAAC48Sk6bm/vp/79+wdkkBsbG+WRRx6R//73v7JmzRpzpnH8+PFyzz33yHHHHdds27q6Ornjjjvk5ZdflvLycpkyZYo8+eSTMmLEiIDsGwAg8kTb7TK+d6qMzEmWlfnlpiqq3mFJo8OSRdtLZEleqRwzIF2mDMyQhJiort5dBBnx0wFuFVHCqnkAAEQ8nxJRAwcObFfvJ00YBUJ1dbXcf//9ctlll8ktt9wiUVFR8uc//1lOPPFE+eCDD+Skk05ybXvDDTfIa6+9Jo8++qj06dNH7rvvPjn55JNl9erVkpaWFpD9AwBEprhouxzZL03G5CbLit3lsmpvhUlG1Tda8tmWYvlmR6lMHZQhR/dPN9siMhA/NWHVPAAA0O5E1Jtvvum6XlFRIbfeeqsMGTJEzj33XOnZs6fs2bNHXn/9ddmyZYs8+OCDEigJCQnmOTIyMly3TZ8+XQ477DDTON2ZiMrLy5PnnntOnnrqKbniiivMbZMmTTKVWs8884zMmTMnYPsIAIhcWvU0eUC6jO2VYqbrrd1XYabr1TQ45KON+2XRtmI5bnCmTOqXJjFRJKS6O+KnA6iIAgAA7U1EnXXWWa7rs2bNMsmfF154odk2WoF0+eWXy4IFC+Tiiy+WQNAKKPcklPO2cePGyaZNm1y3aXWUTts7//zzXbdlZmbKjBkz5J133iERBQAIqKTYKDl2UIaM750iS/NKZUNBlVgiUlXvkPfXF8qX24pNQ3NtbB7FKmLdFvHTATQrBwAAbtp9Onb+/Ply0UUXebxPb3c/+xcMDQ0N8tVXX8moUaNct61bt05ycnJaJa10G70PAIBgSImLlhOGZMkF43NlSFaC6/by2kb575p98ofPt8mK3WXisDRNhe4skuMnpuYBAAB37V7KRyuQvv32W1MV1dKyZcvEHuQmlA899JDs2rVLbrrpJtdtxcXFkp6e3mpbDayKioq8PlZtba25OJWVlZmvljiaB1HoEMtyiGVZ5qswnJ3GePoX48l4BlJaXJScPCRTJvSqN6vqbS+pMbcXVzfIGyv3ymdbiuTEIZkyKifJY09GrfLV90/9is7rinGMxPhJx9kcuw0He4daNhGHxgHwmSaqzevfJKwZu85iPP2L8WQ8QxXHpn/5+6RpuxNRP/7xj+XOO+80jcPPPvtsc+Zs37595kzeAw88INdcc027Hq+0tFTy8/MPud3gwYMlNja22W0ffvih3HXXXWZ/Jk6cKJ2ljdDnzp3b6vby4iKxB6gBeyTRIKqyvCk4bU/zezCewcDxyXgGg37oTu4hMiw5Rlbub5C91U0f6oWV9TL/u73SI94uR/WKk/4pUc3eJ/WPef281OM02AmL7kjHMtgiMX4qKCgwqxjHlpdLnHO/KyuloYgKwPZwiCVlFeUmiWcX4qfOYjz9i/FkPEMVx6Z/lVY0/R3fZYmohx9+WKKjo82ZtHvuucd1e3x8vFx//fUmmGpvqbr2nTqUtWvXysiRI5udPdRm6dqPSgOplmfuPAWZeqZPe0V5c9ttt8nNN9/c7Ixev379JCUjU9LSmpepo/1MJZRWBmRmic3GH1KdxXj6F+PJeAaTrt06uLfI7rJaWZxXJnsr6szthTUOeWdrtfRLi5OThmbJwMwEVyJKE1PZ2dkkovygZWImGCIxftLjVSus6neVSMOB+9LSUsWemerjvxLOs9A2S6RHRqbYOZHXaYynfzGejGeo4tj0r5joqK5NRGkQpcHUHXfcIStXrjRn43r16iVjx45t1VPAF1deeaW5tIc2Jp85c6ZMmTLFrI7XkgZce/fuNYGT+z5pfwP3YKyluLg4c2nJpuefOAPdeY6mSihNQjGejGfI4fhkPLtAn/QE6Z0WLztLauSbnaWyv6re3L6ztFb+b+luGZyZICcP6yG9U2PN+6dWQ1ER1XldMYaRGD+5jle3cn57VJTYORnVTk2JaE1CMXb+wHj6F+PJeIYqjk1/8veJkHYnopw0QDn++OMl2DRw09Xv+vfvL//85z8lJiam1TZ6vwY+r7/+uitI06BKV9P7zW9+E/R9BgDAG/0Ds39GgvRLj5etRdWyeGeplNQ01Y9sKaqWLV/vlOE9EmVCpkgOwxj2IjJ+cls1TzixBwBAxPMpEfXuu++aM2jtoX0Bdu7cKUcccYTfBln7Kuh+FBYWyhNPPCGrVq1y3adn4g4//HBzvW/fviaAmj17tmkO2qdPH5k3b56kpaXJ1Vdf7bf9AQDAnwmpwVmJZjrepsIqWZJXalbXUxsKq2RDocjo0j1y4tAsyUluXX2C0EP8dIB7c3gSUQAARDyfElGavNHeAFdccYXpK6CJHU8aGxvl008/lb/97W/y97//XR5//HG/JqK0XHzFihXm+plnntnsvgEDBsi2bdtc32uiKjk5WW699VYpLy+XqVOnyoIFC0wyCgCAUC59Hp6dJEOyEmV9QaUszSuTqvqmhNSavZXmMjY3WU4YmiU9koLf6wi+I35qYjWriKLZNgAAkc5m6RI8h6BL8j711FPyhz/8QbZv324aUI4bN840odRKpJKSEtm6dat899130tDQIGeccYYp4R4/fryEM222qYmrVVt3d6h/A5qzdNWnokJJy+xBjyg/YDz9i/FkPENVg8OSNXvKZdmuUjlQIGXon/Pje6fItCGZkplIQqo9NG5xNuZOTQ1c4+xIj590Wp82K6/537fSmLfP3Bd3whFii+d4bQ+H5ZCCoiLJztRm5Sz20lmMp38xnoxnqOLY9K+SshLpMXig32InnyqiNFi66aabzEUrnj766CNZvHixLFmyRGpqaky11IgRI0zF1FlnnWWWJAYAAJ0XbbeZCqje0dWSVx8vy/MrpLZBFyUWWb67XFbkl8vhvVNNQio9oXXfH3Qd4idPFVEkUgAAiHTtblZ+wgknmAsAAAhuQmp8rxQZnZsiq/dUyPLdZVLXaJkFyZbtKjPfH9E3TY4fnCFp8SSkQk1Ex0/NekQxNQ8AgEjX4VXzAABA8MVG2eXwPqkyumeyrNrTVBFV32iJwxJZsrNUvs0rlSP7pclxgzMlJY6PeYQAKqIAAIAbIlQAAMJQXLRdJvZNk8NyU+S7/HJz0X5SjZbI1ztKTZPzSf3S5NhBGZJMQgohUhFloyIKAICIRyIKAIAwT0hpwumw3GSTjFq1p8IkpPSyaHuJqZI6qn+6TB2UIUmxUV29u4hArh5R9IcCAABURAEA0D0kxETJ0f3TZVyvFNPEfPWeclMdVe+w5IttxbJ4Z4lMHpAuxwzIkEQSUggmVyKK/lAAAICpeQAAdLuE1DEDnAmpMlmzt8L0j9LG5p9tKZavt5fKMQM1IZUu8TFUSCGIU/OoiAIAABoSdGYULMuS3bt3S0NDA4MJAEAI0Wl4UwdmyEUTesnonCRXMUpto0M+3Vwkj322Tf63uUhqG9xWNENQRFr8ZLkSUVREAQCADiai3n//fZk8ebLEx8dL//795bvvvjO3X3XVVfLKK68wrgAAhAhtVK4r6F04oZeMzE4S24FcQE2DQz7etF8e+2yrfL61SOpISAVcxMZPB6bm2aiIAgAAHUlE/e1vf5PTTz9dBg0aJE899ZQ43FZCGTJkiLz44osMLAAAISYlLlqmDcmUC8f3kuE9EsVZm1Jd75APN+yXxxduky+3FUu9s58P/Cqi4ycqogAAQGcSUffee6/ceOONJqC67LLLmt03ZswYWbVqVXsfEgAABElqfLScODRLLhifK0OzEl23V9Y1yvvrC+Xxz7bJV9tLSEj5WaTGTzoN8WCz8k51hAAAAN1EuyOCLVu2mDN6niQlJUlpaak/9gsAAARQekKMnDwsSy4YlyuDMxNct1fUNcq76wpISPlZxMZPmohyIhEFAAA6kojKzc2VdevWebxPex0MGDCAgQUAIExkJMbI9OE95LxxPWVgBgmpQInY+Ml9qifNygEAQEcSURdffLHcfffd8tFHH7lus9lspqT8oYcekh/96EcMLAAAYSYrMVZOHdFDzh2rCal41+1USPlHxMZPbokoWxRT8wAAgEh0ewdBg6jVq1fL9OnTJSsry9w2c+ZMKSgokO9///ty6623Mq4AAISpHkmakMqWwso6WZpXKtuKa5olpHSFvWMHZcrEvqkSQ2LBZ5EaP1luTdmpiAIAAB1KRMXGxspbb70ln3zyiXz44YdSWFgomZmZcsopp5gLAADovgmp8loSUh0RsfGT+9Q8GxVRAACgA4kopxNPPNFcAABAZCekjhuUKUdQIeWTiIufqIgCAAAdSUTt2LFD2qN///7t2h4AAIRvQuqddQWykIRUK8RPmog6uGqejVXzAACAr4mogQMHmoaavmpsbGRwAQDohkhI+Y74iR5RAACgg4moN99803W9oqLCNNQcMmSInHvuudKzZ0/Zs2ePvP7667JlyxZ58MEHfXlIAADQ3RNSgzPliD6R29Sc+Kl5RZS046QmAADovmyWZblFCIc2a9YsU/H0wgsvtLrv8ssvN5VTnu4LR2VlZZKWliartu6WjIyMrt6dbrFyTmlRoaRl9qA8n/EMORyfjGcoC4fjUxNSS/JKZfuBhJRTSlxUyCWkSkpKzOd6aWmppKamBuU5IzF+Ki4ulpRah9QsWGxujxrUS2JGDOjq3Qs7DsshBUVFkp2ZKXYavjOeIYbjk/EMVRyb/lVSViI9Bg/0W+zU7ohw/vz5ctFFF3m8T293P/sHAAAip0LqtBHZcu7YnjIgI951u6mQWlsgTyzcJl/vKJF691XUIkjExk/NKqJCIxEJAAC6VrsjgqioKPn222893rds2TKxh+iZWgAAELyE1A/aSEh9s6NEGtxXU4sAkRo/aTWfk83O1DwAAOBjjyh3P/7xj+XOO++U6upqOfvssyUnJ0f27dtnzuQ98MADcs011zCuAABEuOwDCakC7SG1s1S2lxzsIfX22gL5bEuRHK9T9vqmSnQ3TcK4i9j4iR5RAACgs4mohx9+WKKjo+Whhx6Se+65x3V7fHy8XH/99SaYAgAAcCWkRnpPSC3ccqCpeTdPSEVs/GS5Vb5REQUAADqSiNIgSoOpO+64Q1auXCn5+fnSq1cvGTt2LA29AQBA2wmpiqZV9pwJqTK3CqlQa2ruTxEbP7n3BGPVPAAA0JFElJMGTccffzyDCAAAfJad7Dkh5ewhpRVSxw7KlIl9u2dCKtLip2aLM3fjijcAABDARNRf/vKXQ27zk5/8pL0PCwAAIjQhtSSvVHa4JaTeXedMSGXIkf3SukVCKmLjJ/em9EzNAwAAHUlEXXbZZR5vt7mVW3fLQAoAAAQkITXT2UNKK6SKmxJSFXWN8t76Qlm4tbgpIdU3TWKjwzchFbHxU6Pl8d8KAAAiV7sTUcXFxR5ve//99+XJJ5+UV1991V/7BgAAImyVvUKTkCqTbcXV5vbKukZ5f32hfL61WKYMzJBJ/dIkLgwTUhEbP9GsHAAAdDYRlZaW5vG2q6++WmpqamTOnDny7rvvtvdhAQAApEdSrJw6oofs14TUrjLZWnQwIfXhhkL5YmuRSUgd1T89rBJSkRo/WW4VUWILn98XAAAIHL9GBGPGjJGFCxf68yEBAEAEykqKlRnDe8j543rK4MwE1+1V9Q5ZsHG/PPbZVrPSXk1Do4S7bh0/UREFAAD8tWpeS1VVVfLss89Knz59/PWQAAAgwmUmxsr04T2kuKpelu0qlc37q0VrbKrrHfLRxv3yxdZiOWZgukzuny7xMVESbrp9/ORwr4iiRxQAAOhAImrs2LGtmk3W1dVJXl6eVFdX+7QqDAAAQHtkJMbIycN6yMS+9aaH1Ob9VSYhVdPgkE82FcmibSUyeUC6uSSEYEIqYuMnVs0DAACdTURNnDixVSAVHx8vffv2lR/84AcyatQoCaTf/e53pqHn1q1bpb6+XgYPHmz6K1x//fXN9suyLHnwwQflqaeekoKCApkwYYI89thjMnny5IDuHwAACJz0BE1IZcnEvqny7a4y2Vh4MCH16ebmCanE2NBJSEVq/GS5VUTZ7FREAQCADiSiXnrppS4dt5KSEvnhD38ohx12mAngPvroI7nhhhukrKxMbr/9dtd2GkTddddd8sADD8i4cePkj3/8o8yYMUOWL19ugi8AABDeCakTh2bJEQcSUhsKmhJStY0O+d+WIlm0vdgko44ZkBESCamIjZ/cK6JoVg4AADQksPTUVzucdNJJ5izZyJEjW923YcMGueaaa+Tjjz8O6uBecsklsnjxYvP8Slef6dmzpznLN2/ePFf5+/Dhw+X00083++8LDc50RZtVW3dLRkZGQP8NkcByOKS0qFDSMnuIzc7KOYxnaOH4ZDxDGcfnoZXVNJiE1PrCSnGPbGKjbGaFPV1pL+lAQkqTMvq5XlpaKqmpqRIMkRg/FRcXS8KG3dKwcae5PXbKWLGnJgXwX9Q9OSyHFBQVSXZmpthJ5jGeIYbjk/EMVRyb/lVSViI9Bg/0W+zU7mzAp59+agIMT/T2zz77TIItKyvLBEpOX375pdmXCy64wHVbbGysKX1/5513gr5/AAAgsFLjo2XakEy5aHwvGZWTJM5ZYHWNlny+tdissvfB+kKpqG3okl9FxMZPzSqimJoHAAA6uGpeyx4H7gFMTk5OUMa1oaHBNPfUwE0bfGoZudO6devM15ZnHbX/wo4dO8zPJSQcXAoaAAB0Dynx0XL84Ew5vE+qLN9dJuv2VZqF2+obLfliW7F8s6NERmV0TUIkIuMn91Xz6BEFAAB8TUTdf//95uIMok488USxt5haVVtba4Kb6667LuADu2nTJhk2bJjr+1//+tdy0003ub7XUvC4uDjTA8GdluHrTERTKu4hkNJ/g16cnGcuLXGYaRHoHMtymPHXr8Jwdhrj6V+MJ+MZyjg+2y85xi7HDkiXCb1SZMXucllbcCAh5bBk8Y5yCYZIj58cDodYjY2u2y1b01QJtI/DxE6W+UoA1XmMp38xnoxnqOLY9K+mz6AgJ6KmTJkiv/zlL82H4D333CMXXXSRWeXFnZZu6xmzM844o107oHMM8/PzD7mdNsjU51D9+vUzPQ0qKipk4cKFpqGmBnZz586VztBg0dNjlBcXid0tkELH6PFTWV7W5llhMJ5dheOT8QxlHJ+dc1iqyJDEWFlb3Ciby4L3eR7p8ZOuutezulpiDny/v7RUrOoOFeNHNIdYUlZRbhJ5diF+YjxDC8cn4xmqODb9q7TCc3uBjvIpGpg2bZq5OBMIV155pfTp08cvOzB//nyZNWvWIbdbu3atq1Rcz9YdeeSR5voJJ5xgmmVpoHfttddKbm6uOXOnZ+a06ab7WT09k6f7763x+G233SY333xzszN6GrSlZGRKWhrNyjvLVEKJSFpmlthotsl4hhiOT8YzlHF8dl6aiOTmiBxd1yhfbtwtwRDp8VN2drbE7a5wFUFnZWaILdaZlkJ7zkLbLJEeGdqsnERUZzGe/sV4Mp6himPTv2Ki/bsCcbtPS7n3EvAHDcr00hkTJ06UxsZG2bZtmwmknAHX+vXrZfz48c16H/Tv399rfwMN0PTSkk3PP7HKW+c5mgJxTUIxnoxnyOH4ZDxDGcen3yTF2+XofpqWCq5IjJ/MNES3HlF2exQnojrEYeInTUKxap4/MJ7+xXgynqGKY9Of/H0ixKdE1JlnnimPPPKI6Sug19uiH5RvvfWWBNPnn39unnfQoEGuUng9y6dnC52BVH19vbzxxhtm+WEAAIBAI35qsWoezcoBAICviajy8nJzxsxZbt1V/X20H4Imkn70ox/J0KFDTXJJl0N+4okn5Oqrr5aePXua7bScXMvE7777blMWPnbsWHnqqadk//798qtf/apL9h0AAEQW4iczr/TggDCtDAAA+JqI+uSTT1zXNfHTVTTBNHz4cHn00Udl165dpkRcE1JPP/20/OQnP2m27S233GKagz788MOmWeaECRPk/fffN007AQAAAo34SUQa3SqiSEQBAICO9IjqStp/4MUXX/RpW63a0qoovQAAAESqroyf9KTggQdmxVwAANDxRJQ2sXz99dclLy/PrKzS0gsvvNCRhwUAAOi2IjJ+cvaIoj8UAADoaCLq5Zdflssvv9xMkxswYIDExsY2u7+r+kcBAACEqoiNn5yr5nXXfx8AAAh8Iuree++V8847z5y1S0xMbP8zAgAARJiIjZ+oiAIAAC3YpZ12794ts2bNiqwgCgAAoBMiNn5yVUS1O+QEAADdVLujguOPP15WrVoVmL0BAADohiI1frKoiAIAAJ2dmjdv3jz50Y9+ZHocTJ8+XdLT01ttk5mZ2d6HBQAA6LYiNn46UBHVbXtgAQCAwCeijjjiCPP12muv9RpUNDY2tn9PAAAAuqmIjZ+oiAIAAJ1NRGmTTc5qAQAAED8dEqvmAQCAziaiLrvssvb+CAAAQESLxPjJsiz9X9M3dqbmAQCAJixhAgAAgMBVQ5mIk5ATAAB0sCJq0KBBXqfm2e12SUtLkwkTJsj111/v6ocAAAAQySIyfnJWQymalQMAgAPafXrqrLPOMs00i4uLTaB02mmnma/6fX19vYwfP14+++wzmTx5sixYsKC9Dw8AANDtRGT85GxUrpiaBwAAOloRNXDgQBkwYIC8++67kpSU5Lq9oqJCTj/9dBk5cqQ888wz5vpdd90lp5xySnufAgAAoFuJyPjJbWqejal5AACgoxVRjz32mMyZM6dZEKWSk5Nl9uzZ8vvf/15iYmLM8sQrVqxo78MDAAB0OxEZP7lXRDE1DwAAdDQRVVhYKGVlZR7vKy0tNSXmKjMzs70PDQAA0C1FYvxkNWtWzqp5AACgg4moE088UW699Vb58ssvm93++eefy2233SYnnXSS+X79+vWmDB0AACDSRWT8REUUAADwRyJK+xdkZ2fLcccdJ1lZWaangX6dNm2a9OzZ09xvHthul1tuuaW9Dw8AANDtRGT81KxHFBVRAACgg83K+/TpI0uXLpV33nlHlixZIvn5+dKrVy+ZNGmSzJw507XdrFmz2vvQAAAA3VJkxk9uU/PoEQUAADqaiHLSVV30AgAAAOKnVpiaBwAA/JmIUlVVVVJTU9Pq9u7UaBMAAMCfIiZ+sqiIAgAAfkhEWZYlv/3tb00vAy0r96SxsbG9DwsAANBtRWL85J6HYmoeAADocLPyxx57TB599FG5/vrrTVB1xx13yJ133inDhw83q7w8++yz7X1IAACAbi0i4ycqogAAgD8SUc8//7zMnTtX5syZY74/++yz5a677pLVq1fLqFGjZNOmTe19SAAAgG4tIuMnt1XzqIgCAAAdTkRt27ZNJkyYIFFRURITEyMlJSVND2S3y3XXXScvvfRSex8SAACgW4vI+KlZRVRX7ggAAAjrRFRWVpZUVFSY6/3795dly5a57issLDQNOAEAABDh8ZNbRZTNTiYKAAB0sFn51KlTZfHixXL66afLxRdfLHfffbfs2bPHnN3T/gYnn3xyex8SAACgW4vI+IkeUQAAwB+JKA2cdu3aZa7ffvvtprT8b3/7m1RXV8v06dPlD3/4Q3sfEgAAoFuLyPiJRBQAAPBHImrEiBHmouLi4uSJJ54wFwAAABA/OVk0KwcAAP7oEQUAAAAcEhVRAACgoxVRV1xxhfjKZrOZJYoBAAAiWcTHT1REAQCAjiaidEnhlJQUGTJkiFjuZ7e8JKIAAAAiHfGTW8xIfAgAANqTiDrmmGPkq6++ksbGRrPSy4UXXigDBgzw5UcBAAAiUsTHT82m5nXlbwIAAIRdj6gvvvhCtm7dKpdccolZ4WXw4MFy7LHHylNPPSWFhYWB30sAAIAwE/Hxk9vUPCrmAQBAu5uV9+/fX+bMmSPLly+XlStXyoknniiPP/649O7dW2bOnCnvvvuurw8FAAAQESI6fqJZOQAA8NeqeaNHj5Z7771XvvvuO7nxxhvlww8/lGeffVaCbenSpRIVFSXJycmt7qurq5PZs2dLbm6uJCUlyfTp02X9+vVB30cAAIBIjJ8sh+PgN3bm5gEAgA4morRPlJ69u/TSS02Q8sILL8hPf/pTue222ySYtGn6z372M8nOzvZ4/w033GCCu3nz5skbb7whtbW1cvLJJ0tpaWlQ9xMAACAi4yf39W1oVg4AANqbiPrss8/k2muvlZ49e8oFF1xgAqpXXnlF9uzZI88884xMmjRJgunFF180/ak8LY2cl5cnzz33nDz00EPm/lNPPVX+9a9/SUlJidlXAACAYIjo+ImpeQAAoKOJqH79+plgZO/evfKnP/1JCgoK5K9//at873vfk+honxbe8ysNiG699VZ57LHHJDY2ttX9H3zwgTgcDjn//PNdt2VmZsqMGTPknXfeCfLeAgCASBTx8ROr5gEAAA98yiLt2rVLYmJiTC+DBQsWtLmtrooS6Olvv/71r2XixIny/e9/X5YsWdLq/nXr1klOTo5kZGQ0u33UqFHy/PPPB3TfAAAAVMTHT26r5jE1DwAAtCsRddddd0mo0FVnNJn07bffet2muLhY0tPTW92uiamioiKvP6d9EPTiVFZWZr5a4mjecBMdYlkO05tCvwrD2WmMp38xnoxnKOP49P94BkPEx09usZOmpBxBGvfuxmFiJ8t8JYBiPEMNxyfjGao4Nv2r6TOoGyWitHoqPz//kNsNHjzYVGVdf/31ct1118nIkSP9vi/333+/zJ07t9Xt5cVFYm9s9PvzRRoNoirLy1yVc2A8QwnHJ+MZyjg+/av8wImmQIv0+KmqslKSDlwvqSiXRluD3587EjjEkrKKcrFs2lOD+InxDC0cn4xnqOLY9K/SCv/GTsFv8NTC/PnzZdasWYfcbu3ataYaSr+++uqrpk+UqqmpMV/1+/j4eHPRyidP0wO1Ukp7RXmjK9fcfPPNzSqitL9DSkampKU1n+aHjp+BTsvMEput3Qs2gvEMKI5PxjOUcXz6ly2qy8OfiIifEuMT9JnMbelpqWJPT+nQvzXS6VlomyXSIyNT7JzIYzxDDMcn4xmqODb9KyY6yq+P1+WR2JVXXmkuvnjttddMMDRw4MBW92nwdMstt8gDDzxgzvZpY3Xd1r1PlPaOautMYFxcnLm0ZNPzT3YSJ53maKqE0iQU4+kHjKd/MZ6MZyjj+PSr7nAyJBziJ3d2e5TYu8G4dw2HiZ80CcUYMp6hh+OT8QxVHJv+5O8TIV2eiGqPyy67TE444YRmt7300kvy97//Xd59913p37+/uU1Xx7Pb7fL666+7gjQNqnQ1vd/85jddsu8AAAARFT81WzWPKWUAACAME1F6Jq/l2bxPP/1UoqKimgVYffv2NQHU7NmzzX19+vSRefPmSVpamlx99dVdsOcAAAARFj+RiAIAAOGeiGqPJ554QpKTk+XWW2+V8vJymTp1qixYsMAEUwAAAAhw/OSgIgoAALRms3QpHnikzTY18Fq1dXezXgnoGF3GubSoUNIye9Ajyg8YT/9iPBnPUMbx6V9lJSUyamAv05g7NTXVz48OZ/y09/0vJKmg3AxI7HHjxZ6kzcvRXg7LIQVFRZKdqc3K6bPVWYynfzGejGeo4tj0r5KyEukxeKDfYic+zQAAAOB/TM0DAAAekIgCAABAQCr5nHTVNwAAABJRAAAACAwqogAAgAdURAEAAMD/SEQBAAAPSEQBAADA/1g1DwAAeEAiCgAAAIGtiCLiBAAABxAWAAAAwP+oiAIAAB6QiAIAAEBAC6KEVfMAAMABJKIAAADgf1REAQAAD0hEAQAAIAAOlkTZqIgCAAAHkIgCAABA4ObmkYQCAABuSEQBAAAgcFPzSEQBAAA3JKIAAAAQwIooBhcAABxEIgoAAAD+R0UUAADwgEQUAAAA/M9yNH1lah4AAHBDIgoAAAB+Z9GsHAAAeEAiCgAAAP7H1DwAAOABiSgAAAD434Fe5TQrBwAA7khEAQAAwP8OTM2z2Vk2DwAAHEQiCgAAAP5HjygAAOABiSgAAAD4Hz2iAACABySiAAAA4H+Wo+mrjal5AADgIBJRAAAA8D+m5gEAAA9IRAEAACCAq+ZREQUAAA4iEQUAAIDAIREFAADckIgCAABA4FAQBQAA3JCIAgAAQODYyUQBAICDSEQBAAAgcJiaBwAA3JCIAgAAQMDYSEQBAAA3JKIAAAAQOCSiAACAGxJRAAAACBwSUQAAwA2JKAAAAAQOiSgAAOCGRBQAAAACh0QUAABwQyIKAAAAgWNjcAEAwEEkogAAABAwNjuZKAAAEMaJqMsuu8wsA9zy8t577zXbrq6uTmbPni25ubmSlJQk06dPl/Xr13fZfgMAAERm/EQiCgAAHBQtYWjw4MHyyiuvNLtt1KhRzb6/4YYb5LXXXpNHH31U+vTpI/fdd5+cfPLJsnr1aklLSwvyHgMAAERo/ERFFAAACPdEVEJCgkyePNnr/Xl5efLcc8/JU089JVdccYW5bdKkSdK/f3955plnZM6cOUHcWwAAgEiOn6iIAgAAYTw1zxcffPCBOBwOOf/88123ZWZmyowZM+Sdd97p0n0DAACIqPiJPBQAAAj3RNSmTZtMeXhsbKxMnDhR/vWvfzW7f926dZKTkyMZGRmtys/1PgAAgEjTZfGTjUwUAAAI46l5hx9+uCkTHzNmjJSUlMif/vQnOeecc2T+/Ply3nnnmW2Ki4slPT291c9qYFVUVOT1sWtra83FqayszHy1xCGWwxGQf08ksSyHWJZlvgrDyXiGGI5PxjOUcXz6fzwjTVfET06WRlIROOb+4jCxk46hpd919e6EPcaT8QxlHJ+MZahq+gzqRomo0tJSyc/P96nBpp7B+8UvftHs9jPPPFOmTJkid955pyuQ6qj7779f5s6d2+r28uIisTc2duqxoYG/JZXlTcGprtSDzmE8/YvxZDxDGcenf5W3SJSEo3CIn5yqamqkto1EFtrmEEvKKsrFsulUBuKnzmI8/YvxZDxDFcemf5VWlHWvRJSeiZs1a9Yht1u7dq2MHDmy1e12u13OPfdc00CzurraNOLUM3caoLWkZ/q014E3t912m9x8883Nzuj169dPUjIyJS2teZk6On4GOi0zS2y2sJwVGlIYT8YzlHF8Mp6hzBbV5eFPRMRPTomJCZLaxs/j0GehbZZIj4xMsXMir9MYT/9iPBnPUMWx6V8x0VF+fbwuj8SuvPJKc/EnDbj27t1rAif3Pgfa38BTMOYUFxdnLi3Z9PyTncRJpzmaKqE0CcV4+gHj6V+MJ+MZyjg+/ao7nAwJh/jJfbzt3WDMu47DxE+ahGIcGc/Qw/HJeIYqjk1/8veJkLCPCnR1Fz0rqD0P9Gye0tVd9Ezf66+/7tpOgypdDeb000/vwr0FAACIrPiJ6fgAACCkKqLaY/v27XLppZfKRRddJEOHDjXBkTbbXLJkSbOgqW/fvuYs4ezZsyUqKkr69Okj8+bNMyvFXH311V36bwAAAIio+Im2RgAAIFwTUSkpKSYY+u1vfyv79u0zzTePPPJIeffdd+XUU09ttu0TTzwhycnJcuutt0p5eblMnTpVFixYYH4eAAAgUnR9/EQmCgAAhGkiShtlvvXWWz5tq70KHn74YXMBAACIVF0eP5GHAgAA3alHFAAAAEIYK70BAAA3JKIAAAAQOCSiAACAGxJRAAAAAAAACAoSUQAAAAgcKqIAAIAbElEAAAAIHJqVAwAANySiAAAAEDhURAEAADckogAAABA4JKIAAIAbElEAAAAAAAAIChJRAAAACBgbFVEAAMANiSgAAAAEDokoAADghkQUAAAAAodV8wAAgBsSUQAAAAgcKqIAAIAbElEAAAAAAAAIChJRAAAACBwqogAAgBsSUQAAAAgcElEAAMANiSgAAAAEDs3KAQCAGxJRAAAACCAyUQAA4CASUQAAAAgc8lAAAMANiSgAAAAEDj2iAACAGxJRAAAACBgbiSgAAOCGRBQAAAAAAACCgkQUAAAAAoeKKAAA4IZEFAAAAAKHZuUAAMANiSgAAAAEDhVRAADADYkoAAAABA6JKAAA4IZEFAAAAAAAAIKCRBQAAAACh4ooAADghkQUAAAAAodEFAAAcEMiCgAAAIHDqnkAAMANiSgAAAAEEJkoAABwEIkoAAAABA55KAAA4IZEFAAAAALGRo8oAADghkQUAAAAAodEFAAAcEMiCgAAAAAAAEERlomompoaufPOO2XQoEESFxcn/fv3l9mzZzfbxrIseeCBB8x9CQkJcswxx8hXX33VZfsMAAAQkfETFVEAAMBNtIQZh8MhZ511lmzZskXuuusuE0xt375d1q9f32y7Bx980NyvwdS4cePkj3/8o8yYMUOWL18ugwcP7rL9BwAAiKj4iWblAAAgnBNRL774onz99deydu1a6dWrl9czfvfff7/88pe/lJtuusncdtxxx8nw4cPl4YcflqeeeirIew0AABCh8RMVUQAAIJyn5j377LNy/vnnew2i1JdffillZWVywQUXuG6LjY2VH/zgB/LOO+8EaU8BAABCA/ETAAAIFWGViKqvr5dly5bJgAED5Cc/+YkkJSVJSkqKSTjt2bPHtd26devM15EjRzb7+VGjRsmOHTukuro66PsOAAAQkfETFVEAACBcp+bt37/fBFPav+D444+XN998UwoKCmTOnDmm2kkroVRxcbFpwhkfH9/s5zMyMkwTTr1fG3C2VFtbay5OpaWl5mv+/v1SWd8Q8H9fd2dZDqksLZHyRktstrDKgYYkxpPxDGUcn4xnKKsob/p815ggEnRV/FReXWW+Ru3dJ7aoqAD/K7svh2VJSVmpRNU1ip2kHuMZYjg+Gc9QxbHpX6Xl5X6Nnbo8EaXBSn5+/iG30waZ2mhT6Vm8N954wwRLqmfPnjJ9+nT5+OOP5aSTTurwvmhfhLlz57a6ffqRYzv8mAAAIHQTNGlpaRKOwiF+GvGLH3f4MQEAQPeNnbo8ETV//nyZNWvWIbfT5pq6lLDNZpMpU6a4gih1wgknSFRUlKxevdoEUnrmTs/MadNN97N6eiZPf17v9+S2226Tm2++2fV9SUmJKWPXcvRwDVRDifbt6tevn+zcuVNSU1O7enfCHuPJeIYyjk/GM9STOBpTZGZmSrgifoocvJ8ynqGM45PxDFUcm6EdO3V5IurKK680F18NHDjQ632aeHLvbaBLEo8fP75Z7wMdPE9l5UqTW+4JLidNQpE48R8dS8aT8QxVHJ+MZyjj+PQvuz18p4kTP0UeXv+MZyjj+GQ8QxXHZmjGTmEXgX3/+9+XL774wpV0UlpS3tjYKBMnTjTfa8WUHnB6ttBJeyNoOfrpp5/eJfsNAADQVYifAABAqOjyiqj2mj17trz88sty1llnyS9+8QvTbPPWW2+VY489Vk488USzjU7H02l2d999t2RnZ8vYsWPlqaeeMvMZf/WrX3X1PwEAACCoiJ8AAECoCLtElPYY+uSTT+TGG2+Uc889VxITE+Xss8+WRx55xPR/crrllltMR/eHH37YJKsmTJgg77//vmna6SudpnfXXXd5nK6H9mM8/YvxZDxDGccn4xnKIvH4JH4KX5F4vAYS48l4hjKOT8YyUo5NmxUpaxcDAAAAAACgS4VdjygAAAAAAACEJxJRAAAAAAAACAoSUQAAAAAAAAgKElFerFu3TqZPny5JSUmSm5src+bMkbq6uuD8VsLYpk2b5JprrjHN4aOjo+Wwww7zuN3zzz8vw4cPNyscjh8/Xv773/8GfV/Dwfz5880KkX379jXHoo7rCy+8YBrxu2M8D+2dd96RadOmmZU0tcmeLlxw8803S2lpabPt/vOf/5hjUo9NPUZffPFFP/9Wu6eKigpznOqiEUuWLGl2H8f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r5t19993Sp0+fZlVR+m/VAGnq1KmHfGzd5p577jH9qJxTBdvrzDPPNH0ndHW+r776qtm0Rme/K7VkyRL55S9/2aHnAAAAwUX85B3xE9A9kIgCEFC///3vTXLmmWeeMYkXnbKm359//vmubQ4//HCZP3++SUidc845cthhh5meR6eeemqrhtybN2+WP/3pT/LYY4+ZRpf333+/XHzxxc2202qqBx54wFQmbd++XdLS0sxjXn755e3e/yeffFIGDRokzz77rHlOneI2bdo0SUlJabad7rcmojQp5IsTTjjBPJZOrdMkVkdoQk+deOKJzW7X/fv000/N9WXLlklBQYFpGA8AAMID8ZNnxE9A92DTpfO6eicAwBNtJn7jjTea6qNQ98ILL8jVV19tGrDn5ub69DNapaQr+enqfIGilWhLly4N6HMAAIDQQfzUecRPQGBREQUAnaD9lzZu3Cj33nuv/PCHP/Q5CaV+9atfydChQ02T8/Hjx/v996AN33Uq4ltvveX3xwYAAOgo4icgstm7egcAIJxptdb3vvc9GTBggDzyyCPt+lldLfCll14yU+cCYceOHSZBdvzxxwfk8QEAADqC+AmIbEzNAwAAAAAAQFBQEQUAAAAAAICgIBEFAAAAAACAoCARBQAAAAAAgKAgEQUAAAAAAICgIBEFAAAAAACAoCARBQAAAAAAgKAgEQUAAAAAAICgIBEFAAAAAACAoCARBQAAAAAAgKAgEQUAAAAAAICgIBEFAAAAAACAoCARBQAAAAAAgKAgEQUAAAAAAICgIBEFAAAAAACAoCARBQAAAAAAgKAgEQUAAAAAAICgIBEFdDOffvqp2Gw2eemll6S7+eyzz8y/bdGiRV29KxCRbdu2md/H3Xff3eHx0J/Vx9DH8rd7771XevbsKWVlZX5/bAAAIvWzOxJjs5/+9Kdy2GGHSWNjY1fvCtAtkIgC2pngcb/ExMRI//795cwzz5SPP/6YsQwgh8Mhv/jFL+SMM86QY445ptl9mmjQpMPYsWMlJSVFsrKyZNKkSfLHP/5R6uvrfX6O+fPnm0Dj8MMPl9jYWPM7/vzzzz1uW1hYKFdccYWMHz/ePF98fLwMGjRILrzwQlm2bJnPz3nZZZeZ58nLy2vzuPvtb38rwfT73//ePG9ycrKUl5dLOLrxxhvNcaPHBgAAwYoTH330UY/bDB06VAYOHNjh51i+fLlJIAXi5I2/Y7OWMbP7ZdWqVa0eq6GhQR588EEZMWKExMXFSe/eveXaa6+V/fv3+7w/OrY6xoc6+eUttmvLXXfdJRs3bpSnn3663T8LoLVoD7cBaMN5550nZ511lrleW1sr69atk+eee07++9//yptvvum6D/71r3/9ywRgTzzxRKvA5eSTTzbJn0svvVR+9rOfmd/L66+/bq7rGbq//vWvPj2HJq6++uork9AaOXKkrFy50uu2JSUl5nd/yimnyIABAyQpKckEhlqJdvTRR5vj4dRTT5Vw9eyzz5pgbtOmTfK3v/1NrrrqKgk3mpTU/X7kkUfk1ltvNQlDAAAC7b777jMnq9LT0/36uBoHzZ07V0444YROJbQCHZs5HXfccR7jh379+rW67fLLLzfx2ve//3351a9+JVu3bpXHH3/cJI00NtM4qyvpiWf9G0BPDOq/SU9GA+g4ElFAO2kFzI9+9KNWH7SagHrxxRdJRAWIJokGDx5sxrrlGcglS5bIL3/5S3n44Yddt19//fVy5JFHmiTKn/70J5OUOJT/+7//M2fgNLjQs2ZtJaI0SfPll1+2ul3P3mmwomf1wjURpQGfnq3UgPCxxx4zSalwTEQpTU7OmzdPnn/+eZkzZ05X7w4AoJvTiuzFixebZNTvfvc7icTYzEnvaxkze6KzCjTm0BkGb731luv2iRMnmuSPnlC68847JRRiildffdWceL7gggu6eneAsMbUPMAPNHmhdDqXuw8++EAuuugiGTJkiCQkJEhqaqocf/zx8p///MfrFC2dZvbzn/9cevXqZUqTjzjiCHn//fe9Tp9yljDrtDCdgqQVQi1plY4+9oIFC8yZHN1Wf0Z/9g9/+EOr7b/55htzJk/v1zNQetHAShNtLRUXF8vs2bNl2LBh5t+YkZFhKop0WpS79957T0466STJyckx09j69u0rM2fOlIULFx5yfAsKCkyQcvrpp5t/h7vS0tJmvwOnqKgoyc3NNV9b/l680cqmzp7h0p5EOg5aMRUoeia0rZL3zpbsa+JJj9Uf/OAH5jjQRN+KFSva3Xvin//8pzl+dTz0eNZjoqKiwuPP1dXVmSBTfwd6bI4aNUpeeeWVVtu15zWlhg8fbpKGf//739s5CgAAtJ8mU4499lgTX23fvt2nn/n6669NJVBmZqaJkbQqW2M6/Wx0jxO1akideOKJrs98vd3JsiwT802dOtV8PiYmJprHuuGGG5o9ltO7774rkydPNp+n2dnZcvXVV0tlZaVP+9xWbOZOWyQcaor/X/7yF/P15ptvbnb7ueeeayq/nPcHQlvxVMuqM41jdayIKYDOoyIKaKeqqirTH0jpFDCdL37bbbeZBIZ+gLvTYGDv3r3mbJAmXvRDW6tuNEh57bXX5Ic//GGrx9cqGi3l1sfU59KyZN1en0crbZx0qpFW3ejZIq340H3Rqg/3M0kt6c9o4mbWrFnmj32tFtLgRPfRvQeRnunRihg9C6WJAf2Zf/zjHyYpof8G98oSPSP0ySefmIqZCRMmmEBn8+bNJunl3shSA6zRo0ebpJVOkdqzZ4+pKPr222+9nklzr3pSGiy1pMGWJsoeeOABM8a6TU1NjdlfTeDdc8895t8aKBpg6fhoAnDHjh3mrJ0mW/Tf2x6a0NPgsyVnos3dHXfcIVdeeWWz2zTI01J25Uv1lzf6OBpgXXLJJSbY0qSPVptpcurJJ5/0+XF0aqL2yLjuuutM362PPvrIlO5rCb9e1wRhy7OMGvTp8Wi32+Wpp54yrxtNOLn/3jvympoyZYo506rJQX9PkwAAoCWt0NbPLv28PlR7AD1Rp59hmjjSz0w9ifbOO++YkzMaJ7399tvmc1FjTI1n/vznP8vtt99uTtgo/Zx00qSUJm2016XGW3ryT2OyN954w8RD7ifmNAmln+v6uPpz+tmsj62fxb70QWorNnPSE1L679cG32lpaSY20nizZYJHE3H6b/T0WNp7SuPVoqIik6jzpW+VM05vSePqll5++eVWt61evdrElfq7cBcdHW1OzP7vf/8zSb+2EnAADsEC4JNPPvnE0peMp0ufPn2sjz/+uNXPVFRUtLqtsrLSGjZsmDV69Ohmt1966aXmsa666qpmty9atMjcftttt7lu27hxo2W3262jjjrKqqmpcd2+f/9+q1evXmb7F1980XW7Xtfb+vbtaxUXF7tu15/Vx9DH2rRpU5v73djYaB133HFWWlqaVVdXZ24rKSkxj3vNNde0OXY33XST2W7Pnj1WR9x1113m57/66iuP9y9YsMCMqfvvJD4+3nrhhRc69Hzuz7lw4cJ2HRc6PrfccotVX1/v0/M4f++Hutx7771eH0Ofa8aMGVZUVJT173//2+qMp59+2jyfHndOF154oZWenm5VVVU123br1q1mWx2rlrfZbDbr66+/brb9DTfc0OrYdI7zzJkzzTHmtGPHDismJsa66KKLOvyactKx0+f4/PPP2zUWAAD4yhkPOD+vzz//fPNZuHTpUtc2Q4YMsQYMGOD6vqGhwRo4cKCVkJBgYjt3l19+uXm8l19+uVU8p8/V0vz58819P/jBD1rFIA6Hw1zcP6f1OTdv3txsu1NPPdV89nr6rG1vbHbkkUda999/v/X6669br776qnXdddeZx87MzLTWrl3bbNvk5GQrJyfH4+PMnj3bPM+KFSsOuU86tr7EVG3Fdnl5eVa/fv2snj17Wlu2bGl1/09/+lPzGLodgI5jah7QTnrW6MMPPzQXPZuklRtaZXH22Webyh937o0VtdRZV/7QszFa2rtmzRqPpcrOqhYnPTukK5dt2LChWcWSnvHRbd2rffRMkfZG8kbPtLlXhOjParWLPpY2nPS039XV1Wa/9UzUaaedZip01q9fb+7Tihmt4tEzWVu2bPH6vM7n1FXp2rOKnZNWvShvzab1LJtOI9RKL30OrZDRKhj9XitoAt0zTI8FZwWQ9kPQ36tWqLWHnu1zHlfuF/e+V97ov1OnrOmZTV25pjO08knL+N3PSmolnFYT6ZlNX02fPl2OOuqoZrfpmWGljeRbuummm8zZUPdGpvo7dT/uO/qach43+/bt83n/AQDojPvvv99U0LTVn1AXWtEp7T/+8Y9brfamU9y9fWZ64qy80spsfV53zqlm7s455xwTs7T87NY4TRuFdzY20z5ZWomv0/y1ulr7SWnVvsaTLds36Oe4t+p1Z7W4p2omT7RVg6d4Si86zm3R9hg61VD3UeM6bWXREjEF4B9MzQPaSUugdaU0d/oBq71oNEmlfzg7AwANLn7zm9+YEmv9UPM0HavlNKqWQYHzQ899+Vots1Y61a2lMWPGeN13T9s7b9PV0Zy0pFlLwjU5lZ+f3+pnnP8WLfHWPlXa00rHRcdAp9nph7g2b3dOv9LV67SHj26nQYmWWWufo4svvtjjh7w3WgbdkvYu0l4MGtRoGbWTTt3SaXuamPve975neh/olLmWPYo0iaUJtY7SnljO40GfR48BTU5pYk4Tlb7Sf4NONWupZTDZkh5fmmzTcb3mmmukM3Sa5NKlS81Yuh8POj2zR48eJkl1qCCurWNNpwjosez+2Ic67lv21+jIa8p53FBCDwAIFo2LdAETjZM0HtC+mC05T+Jpb82WtB2DTtdzxnyHovGnxiS+rqbn7XNXucecHYnNvNEx0JWFdRqgtlFwJpm0l5W3E3i6nXMbX2hM1zJOd9IV+LzRBJwmzXRanibMdMEbT4gpAP+gIgrwA6340eSKnkFy/pGtCQ9tovz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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Section 2: Filter Types Visualization\n", + "# =============================================================================\n", + "\n", + "fs = 250 # Sampling frequency (Hz)\n", + "\n", + "# Design the four filter types\n", + "b_low, a_low = design_iir_filter(cutoff=30, fs=fs, order=4, btype='low')\n", + "b_high, a_high = design_iir_filter(cutoff=1, fs=fs, order=4, btype='high')\n", + "b_band, a_band = design_iir_filter(cutoff=(8, 13), fs=fs, order=4, btype='band')\n", + "b_notch, a_notch = design_iir_filter(cutoff=(49, 51), fs=fs, order=2, btype='bandstop')\n", + "\n", + "# Compute frequency responses\n", + "w_low, h_low = freqz(b_low, a_low, worN=2048, fs=fs)\n", + "w_high, h_high = freqz(b_high, a_high, worN=2048, fs=fs)\n", + "w_band, h_band = freqz(b_band, a_band, worN=2048, fs=fs)\n", + "w_notch, h_notch = freqz(b_notch, a_notch, worN=2048, fs=fs)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 8))\n", + "\n", + "filters = [\n", + " (w_low, h_low, \"Lowpass (fc=30 Hz)\", COLORS[\"signal_1\"]),\n", + " (w_high, h_high, \"Highpass (fc=1 Hz)\", COLORS[\"signal_2\"]),\n", + " (w_band, h_band, \"Bandpass (8-13 Hz, Alpha)\", COLORS[\"signal_3\"]),\n", + " (w_notch, h_notch, \"Notch (50 Hz)\", COLORS[\"signal_4\"]),\n", + "]\n", + "\n", + "for ax, (w, h, title, color) in zip(axes.flat, filters):\n", + " magnitude_db = 20 * np.log10(np.abs(h) + 1e-10)\n", + " ax.plot(w, magnitude_db, color=color, linewidth=2)\n", + " ax.axhline(-3, color=\"gray\", linestyle=\"--\", alpha=0.5, label=\"-3 dB\")\n", + " ax.set_xlabel(\"Frequency (Hz)\")\n", + " ax.set_ylabel(\"Magnitude (dB)\")\n", + " ax.set_title(title)\n", + " ax.set_xlim(0, 60)\n", + " ax.set_ylim(-60, 5)\n", + " ax.grid(True, alpha=0.3)\n", + " ax.fill_between(w, -60, magnitude_db, alpha=0.2, color=color)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 3: Filter Characteristics\n", + "\n", + "Every filter is characterized by several key properties:\n", + "\n", + "- **Cutoff frequency (fc)**: The frequency at which the filter response drops by 3 dB (half power)\n", + "- **Passband**: The range of frequencies that pass through with minimal attenuation\n", + "- **Stopband**: The range of frequencies that are significantly attenuated\n", + "- **Transition band**: The region between passband and stopband where attenuation increases\n", + "- **Filter order**: Determines the steepness of the transition (higher order = sharper cutoff)\n", + "\n", + "The **-3 dB point** is the standard definition of cutoff frequency because at this point, the signal power is reduced by half (and amplitude by approximately 70.7%)." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Higher order = sharper transition, but more computational cost and potential instability.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 3: Effect of Filter Order\n", + "# =============================================================================\n", + "\n", + "fs = 250\n", + "cutoff = 30\n", + "orders = [2, 4, 6, 8]\n", + "colors = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"], COLORS[\"signal_4\"]]\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "for order, color in zip(orders, colors):\n", + " b, a = design_iir_filter(cutoff=cutoff, fs=fs, order=order, btype='low')\n", + " w, h = freqz(b, a, worN=2048, fs=fs)\n", + " magnitude_db = 20 * np.log10(np.abs(h) + 1e-10)\n", + " ax.plot(w, magnitude_db, color=color, linewidth=2, label=f\"Order {order}\")\n", + "\n", + "ax.axhline(-3, color=\"gray\", linestyle=\"--\", alpha=0.5, label=\"-3 dB\")\n", + "ax.axvline(cutoff, color=\"gray\", linestyle=\":\", alpha=0.5)\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"Magnitude (dB)\")\n", + "ax.set_title(\"Effect of Filter Order on Transition Steepness\")\n", + "ax.set_xlim(0, 80)\n", + "ax.set_ylim(-80, 5)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Higher order = sharper transition, but more computational cost and potential instability.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 4: FIR vs IIR Filters\n", + "\n", + "Digital filters come in two fundamental architectures:\n", + "\n", + "**FIR (Finite Impulse Response)**:\n", + "- Output depends only on current and past inputs\n", + "- Always stable\n", + "- Can have exactly linear phase (no waveform distortion)\n", + "- Requires more coefficients for sharp transitions\n", + "\n", + "**IIR (Infinite Impulse Response)**:\n", + "- Output depends on inputs AND past outputs (feedback)\n", + "- Can be unstable if poorly designed\n", + "- Non-linear phase (distorts waveform shape)\n", + "- Achieves sharp transitions with fewer coefficients\n", + "\n", + "For EEG processing, the key consideration is **phase distortion**. IIR filters shift different frequencies by different amounts, which can distort the temporal relationships in the signal." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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PLeN53759dbLjlddAxr4ywVrHydeIKPKxZy0RDagrr7wS9957r/pk/0SfBvsuq+9Y4Sr9QuWT546kd5PMpNox2JW+p121QOgP0q+1q0BWSJ9cGWAdPXrUv00+IZcZZDu66KKL1O2KFSvabZeqTpltNpAM1mQw93//939q9t5gXBIl4aS8/nfffXevv6f0IpPz0NGMGTPUbcdL9eR8ysC04zmTS7/knPr+P/C9RtIWI5BcriaXkMllg5MnT+71v7WnxytVKvJm5te//rXqXduRfEjQ3f8LRERERANZ2dlx/CwtrqRKtWO7MVk6FiLIZfmBYyD5EF8+rJbxYWNjY6fvKUGjjOf6Sj6Yl16vMm72XdXVm+8p46+OV9tJSwlfa4OOY0/5HkVFRf778rXSOzhwvCnHJC0h5Kqrr7/+ut3Xy1hejkmqgvuip8cr75mEVB13dcUfWyAQRTZW1hLRgJKK08DKyhNNPCWTDkiFp1RdSgsF6bsllw11rKz0DWSkAkAuH5KKgpkzZ6rATy4rksuqejLZVW9JywA5HqlekAmxJFiUS+plMgGpDnj11VdVpeoNN9ygBll///vfu6zGlcu/5Hmkd2pxcbFqQ3DkyBFV1Smfpsu/J5BUfUpvK7lUTCbXkkvc5HvLwFMucZN/+8svv9znf5f8W2SQLK/nhx9+qP4NPf2eMnCWvrLyOkgPWFmXNwjSq1gqnqW1RSCphpWQWioX5BzLOfvjH/+oBsm/+tWv/PvJgFUG1/KayGsj4amEprKvvLbPPvvsCSudu9PT45X+ZDLRg/Rwk9fnmmuuUdUQ8vVSHSwVIVKFIhUoRERERKEgYxNpOfboo4+qQFEKIw4dOqTGSTLmCvxgWeYkkDZj8uG47CdjL6kYlTGfjMN9waX0TJWvlz6rUowg41apPJXnkoBVxkDSH3fhwoV9Pm6ZtOsPf/iDqgaWsVdvvuef//xnVcgh/w75N8qYTVqmSTgt7wFkfBdIxnEy5pQrqOR9iTyPjHdlImSZ3M1H2hHI6yPjYNlXvr+0LJAiAXleqYDti54er4TB0qZCxqTyPkb2z87OVuNU2V/G3w6Ho8+vORHpnEZEFCQfffSRfAysPfDAAyfdd8GCBZrJZGq3raqqSrv++uu1nJwcLSoqShszZoz26KOPaqtXr1bP+9JLL7Xbv6SkRPve976nJScna7GxsdqZZ56pffrpp9pFF12kxcTEdPp+BQUFXR6LPPdVV1110m1lZWXquVNSUjSDwaD2OXTokP/xv/3tb9q4ceM0i8Wi/g133nmntnv3brXfvffe2+656urqtJ/85CdaVlaW+rdOnTpV+/vf/6726/i8orq6Wrvjjju0sWPHqv0TEhLU+rJly7Qvv/zypK+3vHbyvH/5y1+6fHzHjh2a0WjU5syZ06vvabPZ1L/z9NNP19LT0zWr1arl5uZql1xyifbVV1+1+x7y+st52Lx5s7ZkyRItPj5ePeeFF16o7du3r9MxtbS0qNdj9OjR6nnlPH/jG9/Qvv766077dnW+Av+f9P2/05vjFbt27VLPK/vIeZWvmTFjhnqOI0eOnPR1JyIiIurNGNk3ZpOv6UjGJB3f0hcVFWnf/e53tczMTC06OlqbMmWK9sILL3R6nsrKSu2WW27Rpk2bpsayMraTsdnVV1+txjsdyVhPxkcyVpUxkNzOnj1b/RtkzN6XsX6g22+/XR3fs88+26vvuWnTJnXMo0aNUmPJuLg4NT79+c9/rsauXY0Bn3rqKfW+QsZ9eXl52i9+8QvNbrd3OqadO3dql112mRrvyfeX1+fWW2/Vamtr+3yOenq8Pq+88oq2cOFCLSkpyX+85513nvbHP/7xpK85EYUvg/wn1IExEVEwSbWAXG7km1mW9EH6cckiE3oREREREQWLjDelcvall17ilVBEpHvsWUtEEaNj3y1f/1OZNEAumyciIiIiIiIi0jP2rCWiiCF9R6WfrfRPlT630s9J+kLJtttvvz3Uh0dEREREREREdEIMa4koosJaCWffffddNalCZmYmfvCDH+D+++9XE0cREREREREREekZe9YSERERERERERER6QB71hIRERERERERERHpAMNaIiIiIiIiIiIiIh1gz9oTcLvdOHbsGBISEmAwGAburBARERENEpqmoaGhAUOHDoXRyDqC/sbxLBEREVF4jWUZ1p6ABLV5eXn98kITERERUfeKi4uRm5vLl6ifcTxLREREFF5jWYa1JyAVtaKoqAjJycn98oLTqVeHVFRUICMjg9U3OsDzoS8ulwtr165Fc3MzFi9eDIvFEupDIv6c6A5/b+lPbW0tCgoK/OMu6l8cz+oPfw/pC8+H/vCc6AvPh/7wnET+WJZh7Qn4Wh8kJiaqhfTxS6m1tVWdD14qGXo8H/o7H+PHj1d/LJKSkmA281e8HvDnRF94PvR5TgRbTgUHx7P6w99D+sLzoT88J/rC86E/PCeRP5blO3kiogghH2AUFhaivLycH2YQERERERERhSHO4kBERERERERERESkAwxriYgiaBZKp9OpFlknIiIiIiIiovDCNghERBHUK0cmGGtqakJWVhZMJlOoD4mIiIiIiIiIeoGVtUREREREREREREQ6wMpaIqIImmBs3rx5nGCMiIiIiIiIKEyxspaIKEIYDAYV2Moi60REREREREQUXhjWEhEREREREREREekAw1oiogiaYOzAgQMoLi5W60REREREREQUXhjWEhFFCE3TUFJSgrKyMrVOREThb/fu3ViyZAni4uKQnZ2N2267DXa7PdSHRURERERBwgnGiIgihPSpzc3NRW1tLXvWEhFFgJqaGixatAijRo3CW2+9haNHj+LWW29Fc3Mz/vCHP4T68IiIiIgoCBjWEhFFCJlYbMSIESgvL1frREQU3p555hnU19fj7bffRmpqqtrmdDrx4x//GHfddReGDh0a6kMkIiIion7Gd/NERERERDr07rvv4uyzz/YHteKyyy5TfclXrlwZ0mMjIiIiouBgWEtEFCGkT628gZeFPWuJiCKjX+3YsWPbbUtOTsaQIUPUY0REREQUedgGgYgoQkhIu2bNGjQ1NeGcc86ByWQK9SEREdEp9qyVcLajlJQUVFdXd/k1NptNLT7SRkG8teYAkJWJGLMJ0RYjos1GxFhMiAlYl+0xZiOiZbvZCKPRwPMXBL4PVeWWQo/nQ394TvSF50N/eE70JRh/zyM6rJWKg//8z//E559/joSEBFx55ZX41a9+BavVGupDIyIiIiLqdw899BDuv//+TtsXlRXjXUMUiixRPX4uixGIMhnaFrNvvcP2Lh4zGhj0nuhNXV1dnQps2WM+9Hg+9IfnRF94PvSH50Rf5G96f4vYsJaz5xLRYCNv+ObOncsJxoiIIoRU0Hb1BkDGuYF9bAPdeeeduPXWW9tV1ubl5SFKc+Oy+lL8PXEIjvcwsHW4ZdHQ6NB6fexWk8FTrauqdr2Vu6pqt23dU9Vr6vR4pAe98ibbYDAgIyODYa0O8HzoD8+JvvB86A/Pib4EoyA0YsNazp5LRIONvPEzm81qkXUiIgpv0q+2Y29aCW9LS0s79bL1iYqKUktXojU3ftBchpYzJqM5IR4tDhdaHW40e29bnN5bue/03nrvu3qZ19pdGuwuJ/pSaxJlDmjH0K5lg7dVg2rXYOoQ/JrCKuiVv9PyISsra/WB50N/eE70hedDf3hO9CMYf8vNg2323BtuuEHNnnv11VeH9PiIiIiIiE7kvPPOw4oVK1BbW+vvXfv666+rNwVLly7t1YtnTE8Gmh0wOJyI/XIrUhfNgCmzcz/crsjl+g6XFhDmutHqdKlbCXLVfbl1em8DHm/tQ9Brc7rVglZn775QAmlf9W4XYa4Kfr237cPg8Ap6iYiIKLJFbFgrVQjXXnttv8yee+CjrYiPi2+/sZuxXDCHeIbePnsQD6b7p+6fYzSc6M2C04FGc2nPKgf74TUI6rDd0PMHfFvkn9227lmT/6o1/2MGtZ//Me+Dgft41r17B2yT5/Tcl35z3sdkm7zR8933fhc5H1HNzXAcrR0clZxmEwxWC2C1wBDlWYxxMUC0VRf/frkc5vDhw+pNfXp6Oqt1iIjCnBQZ/P73v8e3vvUt3HXXXTh69CiWL1+utg8dOrRXz2WdNwXGTQfgLq8BHE60frgB0RLYSoh7EvI3zmqWxYik6N79G2SsIFW23YW5vsC37fH2lb3uXga98nWy1KJ3Qa/BV9HrC3Q7hLm+Vg1dPS5fx6CXiIiI+kvEhrX9OXvu0MpKJDa3BPFoifRP3iu5utgu3Vl6X/cSYUxGGOJiYEiMgzE1AcaURBjTEmGIGtjJDF0ulwprm5qaMGHCBIa1OsHZWvWF52NwzKAbKWTc+sEHH6gJcyWwlQlzr7vuOjz44IO9fi6DVI+eNR2tH2+Eu6z3gW1fSdCrJh+ToBenEPR2aNPQLvjt9LgnDO5N0KsFBL1o6WvQ6wtz21f2xnq3x1o9rRxkArZmhxsut0ww1ssXhYiIiCJexIa1/Tl7LhHRCbnc0Oqb1OIuKW/bnBADZ2oCXGkJcCXH+SuZgxl4xMbGqje3FRUVqncthR5na9UXno/BMYNuJBk3bhxWr17dL89lMJsRvXCGN7Ct9gS2H6xH9OKZQQ1s+yXojelb0BvYd1cC3pau+vN2CIAlsO1r0FvTm/qOnQf9E7F5Ql1v4KtC3Q5Br3cf33aTXO5EREREESli38n35+y5dbMmQktKbNuxm8Fbb+fJ1XrxgNbb79TLg+nN7prWu2fo9fzBJ/gCt6ahsalRtaWQy81O/BpqwTlHvZ8QuZvn7vn/SFrAay/rmm9d8zyLZ7tvXfM+1rZNyJsO33Z5RN33Prt6Q6J5Xl/P4tnff98tVbWeW3l+l28ftwanywUYjOq+2i7bTvE1OsGZ7cVzSN86T1WLvMGJtXpvfW98vPflTU+PWxg4XdDsDsDuULdaix1aUwu0xhZ12/GdnamhRS0oKgdiomAuyIZpRA6MiXEIlszMTBXUcoZp/eBsrfrC8zE4ZtClk1TYLvRV2Farv20qsF00E6YM/QW2/RH0og9Br83la8ngq9z1hb1d9OftUNmr9WUitl72540yGdVYJjDQ9YW+beGu93Fv+CvjIoa8RERE+hexYW1/zp6bXZjZZUsFCs2b7PLychVIcfZc/Z4PeZPjlNDW7ZmQxOFyw6HW3XDKfe+6esztubV7K1LUpCIuN2wO723Adtmn1zGu07u0aAF32khMGx9lQnKMRS0pMWbvrdw3Iyna0qM3Nppbg9bQBHd1PVzV9eoNsLumoW2HFhucu4vUYhqaDsvYQhizU4PS65Yzg+oPz4m+8HzoC/+ehzCw/WQj3Me9ge2HEtjOgCkjBYOd/I5QH/iaZXzQu6+VD7llvBJYxdvsC3tl3e5Zr2lshttoafd4b6p51RipxY3aXrZsCJxsratqXv8H29a2W6n+1UNvfiIiosEiYsPa/pw9l4h6Rwb0FpMsQIyl/1499QYooNJF3tzImx61yLrvvrr1vCFqsjtPOAu1PNRgc6mluLa1878FQGK0GamxFqTHWZEWZ0F6rFWtJ8WY/ROKGIwGGJLiYUyKh3mYZ9IXTQLa0iq4jhyH61ilvyxd1mUxZqbAOmUUTJl8Y0xERCEIbBdIYLsJ7uNV3sDW28OWgW2fybhAJh6TRT747emH3b5qXt+Eay0q1PUFuZ5tgeu+8Le3IW9f2jWYDIa2K5QCQty2W08/3vYBL5vxEhER9VXEhrX9OXsuEenoDVAvK10k4JU3Mg2tEsg6UW9zqlsV0LZ61utbnWi0u7oNc+XSRFkOVbd/Z2M2GpAWa0FanBWZ8VZkJ0QhK8GqKnPlWA0xUbAMH6oWzWaH8+AxOPYUQWvyhMIyI3frqq9hys+CdeY4GGM6V/b3doKxNWvWqAnG5EMpVqsREdHJA9tpnQPbs2bwg8QQVvN2F/KeqJK3uUOI2xwQ+Ep7Bk9Fb/t9eprxSpsr3wfbPWUxGroOdH33O4W+Rpg52xoREVFkh7X9OXsuEYUvCU3jrGa1ZKP7MFQqdutanKhtcaCmxaEuK2xbd6g3QR1Jm4eyRrtadpa1bZfLBbMkuI23qltPiBuFqHGFMI/Jh+tIGexb90NraFb7y/2W0ipYp42GeWTuKV1q6OlZ3E+NlYmIaHAGth8xsA3HSl6gdyGvtJjq2J7BF/q2XakUcMWSw6XGPj0hLa98H3b3pg9vuwpeqwlx/kXGcoH3TbCwepeIiCJUxIa1/T17LhFFNrlcLyPeqpauyJuVyiY7qprtqGxyqHVZqpsdnS4/lMlCpKVCYFsFiV+l+jYnKRo5SbHImT8TqRWVcG7ZB9gcakZu+9c7VXuEqDMmwBDV+wl3pJL2jDPOUBOMsaqWiIh6G9jaPt0EVykD28ES8vomJOsp+TBYxjid2lC1u3V32t7TNg2+Prw1PezDK+GuCm6j2oe4cV0EuxL8+lpXERER6V1Eh7VERP1FBvn51hjkp7Tvv+Bya6r6tqzBhrIGO47LbaOt04Qf8j7FV4W78Wi9/xLBgqHDMKe+EtlV1Z7nKylHyzv1iJo3Bab05N7PfB0VpWZW50QgRETUq78hZhOi5jOwpZOMM8yyGHvcqkECXumRe7JAN/C2py0afOFudYvj5P9/e8dyHUPcOKtZtWhwtjhgs7YiIdqM+Cgze+4SEVFIMawlIjoFJqNBTTYmy4Tstu2tDpcnnG2wqQD3aJ0N5Y22dtUlcong/gYn9huSMSLBgvMbKxCjuaE1t6J51ddwz5qApJE5PD9ERDRwga1U2H7SocJ24XSYslJ5Fqj3/08FVPCmoTfzDfgmivVMFuu5DVy822wutDg7t6rqSIZfvq/t1uGj7ap246NM3sWMeKuEuCYkyH217rkvgS8rdomIqL8xrCUiCgLpHVeQEqOWwL64x+ttKKlrxVG12FRVrjgQFYeXzFG4oKEMuU4bjG4Nhq+2Y/Xu46jLz0FhagxGpsUi6QSVLDK7dHFxMWpqapCens5WCERE1GsGky+w3QxXaaUnsP14IwNbGuD5BjxBaEYP9pc+uicNdm2edZlQtid9d1XVbrMbVc2Ok1bsynH6wtt4qwS6bWFuW8gr1boGXvlEREQ9wrCWiGgA++JKG4XAVgryxqGktgVHaltRVNOC100mLGmowERbo3oDMLuuEmv3O/G/sSlSnoL0OAtGpMWqpTA1Vl2KGHip4cGDB9HU1IQJEybwvBIR0SkEtlNh+3Sz6qXuqbDdiOizWGFL+mM2GpAYbVYLTjCZbGDf3cBgt7HVibKaOsASgyaHC402WZwq2JVJ2E74fIDaTxY0nPg4LSaDCm+lOlfaLSRGybrnuNU2uR/NFgxERMSwlogopKQaY0xmvFp81bdHa3JQsv0gco8eU9vmttSq4Paz2BTv5GZ1+OpIHYwGIC85RgW3o9JjkRVvQVZWFurq6li5QUREpx7Y+nrYSmDrYmBLkdV3NzXW4r8yqdzaiszMzlcl2Z1uTxjrDW8b5DYgzG303bc7TzqRmsPlmefAd1VVd6LNxvYhrrptH+7K+FFacRERUWRiZW0PuFwutXT1xz7wD3pX+wQymUyDYl8Z8Min1v2xr7y+vomSZF/fuZCl49d13Lc3zxup+8p+sn93Av8f7su+geck8JhO9XnDZd+T/Wz05XeEVN8OS4+Da954OHbHwb5pj3rs9OZqNdvxKlM83JpBTrR6UyDVuEVVTfhwr6YusxuZnoys5DjYnS7//weD6XeEHvcN/DmR/fR0vHr4ORrofX3nQ27D8XdEJO57sueh0DGYjN7AVipsK7yBrbeHbXZPO5AShS+rhLoBwe7J+uwGhrgNXYS6EvbKhGsnIo+3Ou2oaLJ3u4/8Ffe1V/BV5HrCXFNA0GtGjKXtbz4REYUPhrU98MUXXyA+3lP1Fig1NRWTJ0/231+7dm23b+CSk5MxdepU//0vv/wSDkfXn6omJCRgxowZ/vvr1q1Da2trl/vGxsbitNNO89/fsGEDmpubu9w3OjoaZ5xxhv/+5s2b0dDQ9fU6FosFc+fO9d/ftm0bamtru9xX3mjOnz/ff3/79u2orvbMbN+VhQsX+td37dqFioqKbvedN2+e/83e3r17UVpaqi7xjouL6zTwmDNnDqxWq1rfv38/jh3zVCV2RV4HeT3EoUOHVJ/P7syaNUt9P3HkyBEcPny4232nT5+OxMREtV5SUqIuSe+O/P8g/18I+Xft27ev230nTZqEtDTPm6Ly8nLs3r27233Hjx+PzMxMtS6v7c6dO7vdd+zYscjO9syKJedMznN3Ro0ahZwcz2RXUrkp//9IaNHV+Rg+fDjy8/PVuvw/tnHjxm6ft7CwUC1C/t+V/9+7k5eXhxEjRqh1m82mfo66M3ToUIwePVqty8/a559/3u2+8hrIayHkZ3jNmjXd7puRkdGuxcCJ9u2P3xGuaJunoklUH8WcoRmwp2dAyxyJg1XNnl5qZXthcNrRBGCL93+5VZ8bkBJrwdDUJCxdMMd7aWDk/444fvx4t/uG6ndE4M+J/G4fTL8juhPK3xG+8yHHO2bMmLD/HREJ44juvh/pKbCdCtuazXAdlcDW3dbDloEtUac+u1kneU0cLrcKbSXMrW+VW6f/Vi2tLtTbnCfsrSuPyNfLAthO3CLCF+b6At1ok7r1BbqysEqXiEhfGNYSEemYKT1ZjcjVJC8yOC+tREZKEk4b7wnb5FK6VZ+U4HhNA2qanf6KSrmtbrKjyt6AbZ8cQk5SFCZkJcBxolmQiYiIugts5zGwJeoPFpNU6lqRGtv9PjKOkwrbwBC3vtUVEOg6VaAr1bon6r4ggW91i0MtJ5skzRfe+m6T5DYg4I02t10tQUREwWXQTnSt5CBXX1+PpKQkVFZW+qubAvHyxdC0QZCqMakK69hTKhwuh47ENghdnY9wuRz6VPcdqEuc1WQYm/bAueeIZ4PZhPjz5sCYFN9u3xa7A+9/tAbH65rRmD4GzU51FKplgp/bjSGJVozLjMe4rHikxVl7dAy9Od6T7TsY2yD4fk7MZrOujnewtkGQ8yH9neV8BPMYBNsgnPx1kIrb9PR0VZHtqzyn/h/P1tTUdDme7Q3N5W6rsBUmIyts+6C78ROFRjifD2m/4GuvEFih67ltq9w9WeuFnrCavBO5BbZd8N76JniT0FeqjAfzOYlEPB/6w3OiLzKWTUlJ6dexLCtre0CCg8Dw4ET79VQk79ubP6h92dd3Pk70tcE+hnDZV0KDnp67vuzruz3R+Qj2MYRyXzFQ+5pmjoet1QHXkTLApaH1k02IOfcMGKwW/74xViA1xowotwlLFwxHRYsbeyqasLusEWWN3r5nRiNKG50obazFhwdrkZ1gxfisBIzPikdGvHVA/m16+NkYyH0Df04C24Xo4Xj18HM00Pv6tnf8gCncf0eE8769eR7SSYXtZ5vhKgloibBgOkxD2MOWaKBJMOoLSk9EJkqrD6jIlRA38L60XpBQ90RVXHaX5p3otvsqXZnzLN4/GZpU61qQ6G27EBjwyhwNRETUPYa1REThMnvx7ElobWiGu6YBWkMzbF9sV30EfQGghE/SP1WuBpDwIyfJipykaCwamYbKJjt2ljWqpbS+rbfZ8QY7jjdU4cP9VRiSEIVJQxMwKTvhpIN+IiIaxIHtmRLYboGrpNwT2H4ige00mIakh/rwiKibidLSzVakd7iiKpDLraHJ3r6Pri/YDazaldC2O9JmV31dq7q8q1sxZmOn6ly5Va0XosyItxpPeJUQEVGk47txIqIwYTCbVEVTy3tfSImEepPs3F0EyzjP5EsS2spkQTIJUMcJ+GRwPn94qlqqmx3e4LYBR+vagtvSBhtK99iwak8lClNjMHmIp+I22sKqNyIi6hjYTukQ2G5C1IJpMDOwJQpLMsnYyap0JUC1eat020JcV4cqXScaTzJHQovTjZZGO8p9V351U6WbuLfVf0y+frrtA14TzGyTQEQRiGEtEVEYMSbEImrOZNg+3qju2zfvVbNxG1MSevwcqbEWnDksRS21LZ7gdltpA455K26ljuFQdYta/m9XBUZnxKngdlRGLAfERETUPrBduwWuYk9ga/t4E7CQgS1RpJJiAPkQX5bM+KgTTmzW2KEqt2PAK7eyX3fkodpWp1pORPrkeoJc721AD11fwBttbuvXT0QUDhjWEhGFGXNOBtzjCuHYdViNZFs/36r612oGA44ePaomkZHJenrSuzQ5xoI5hSlqkVYJW0sbsO1Yg3/WYBlE+9onyEB34pAETM9JxNDEKA56iYgGuXYVthLYur2BrVTYDmVLBKLBymw0qDGmLCeq0m1xtFXptgt2W52oaWpFswtqnxOR1g2yHG/ofh+Lt2rYF962Vel6+upKhW681ayqi4mI9IBhLRFRGLJMGQVXaSXctY3Qahth37If5ikjsX//fjQ1NWHcuHG9fk5plSD9bc8akaraI2wtrcf2441qACxkJuH1xXVqyYy3YlpOoqq4lYkkiIhocDIYfYHtVriKyzyB7ScS2E6FeWhGqA+PiHRKte+ymtSSnRDV7Uz30iI3sBrXF+aqlgsB1bonKNKFw62hqtmhlm6PBzI5mqlTuwWp3I23mhBnNSMuSm5NnCCNiIKO77CJiMK1mmnOZE//WrcG567DMOZlqopaq9V6SlWv8rW5ydFqOWdMBg5WNauK213ljXB4J5WQHmPv76nEqr2Vqk2CVNuOTI9jRQIR0aANbCfDtnYrXEcCAtv509TVIEREfWUxGZEaa0VqbPf7uDUNzd7J0TpPita2XfrtdkdGuLKvLL7WYN2xmgwqvI33hreeRSZGM6lA1x/uWk2IsbAFAxH1HsNaIqIwJX1qLZNHwbF5r7rvXLcL45eehorKyh61QOgJuRxsVEacWmSAu/14AzYdrUdxbat6XKoYdpc3qUUGplOGJqqK24z47mcbJiKiCA1s506GDb7AVoPtUwa2RBR8RoNBXekly9AT7Cdj2cBq3HZVut7bRptLBbcnYndpsLc4UONtG3biY/P01Y3zhrlSSRxjkVsjYi2eoNdz36Tuy3ZOmkZEDGuJiMKYZVwBXIePqXYI7poGOPcWA6kxQfleUWYjZuQmqUX620pou+VYvapAEDLz79rDNWrJT47GzLwkjM+KVxURREQU+RjYEpGeyVg2ymxVrb+643JrqgWYL9D19cRttHvXbW33T9ZP11fY4KvY7Smp3PWHtwFBbkxAwOu57721GDneJoowDGuJiML8jbH19Aloff8rdd+5dT8Mp48J+veVQe6S0emqx+2BqmYV3O4pb1R9xcSR2la1vLu7AlOHJqqAl9W2RESDKbDdBteR420VtvOmwpybGerDIyI66VVlqmdt9MmjEl+w61k8Ya5U5nYV7srjvnEyelS560Rti7NXk7rJZMBSpRttkVsjos2eIDfaG+jGdLjve5yFFUT6w7CWiCjMmdKTYR6dB9ueImysPAb3p1WYd8XF/dYK4YTf22hQPWtlkYHo1mP12FBSj4omu3pcKg6+KKpVS2FKjKq2HZcVx8u7iIgiPrCdBJsBcBV5A9s1mxnYElEEB7vtJ0nrSNM0NVmv9NZtdri8t+62de/2FnW/bXsP81043Zq6yk2W3pKgt6twVyqRJQCWSl97ix3l7gbEWMzeCmXPY1EWedyoWlEQUf9hWEtEFAGsU0bBdugY7G4XUNcIV2UtLEMGdlIXuSRrdmEKzihIVlW164vrsLOsUQ0exeGaFrXI5VpTcxIwMzcJaSe4DI2IiMI8sJ0zCTJNDwNbIhrsZAJfqXqVJa2HXyMTp9m6Cnjb3Xeh1eFWIa+EwXIrlbm9IWP1HrVqKCnv+t8m70V84W1gkOu/NfnXperXt48sEvT6bi0mA0NfIi+GtUREEcBgtSB6yihMbWlR912b90PLTlcDwwE/FoMBBSkxajnP7sLmY/UquK1q9kzCIIPKzw/XqmV4agxOy09WlblSnUBERJGDgS0RUd8Z+xDw+tozBIa3vjC3xeluW/c/Ltt8j/U+6BXyFRIqy3Iq5J2ABLb+ANcf5nq2BQa78phvu3+bf93g/1q+v6BwxbCWiChCWEblIX5vMbT6JqC6XlUymQuHhPSYZEKEOYUpmF2QrKpqJbTdVdbW2/ZgdYtakqLNqkXCjNxENVsuERFFWGBrMMB1uLStJcKZU2HOYw9bIqL+JgFlfJQZ8SfuzNBtlW2rN8iVYNfm9AS7FdV1sMbGqTBXQll53HPr8ge1nv3dcHivqustzdev19W3dg7dtXjwBbjSm9dXwetZb3/rC4rbbrt+zCJzhpgNMBkMISmMocGB74iJiCLoDbFl2mjYP9mk7tu37IMpP0ttDzUZyAxLjVVLo82pqm03FNejusVTbVvX6sQH+6rw8f5qTBwSj9Pzk5GTFB3qwyYiov4KbGdP9LRE8AW2nzGwJSLSG3MXQa/b7Ua5oRmZmck9mhNDKnvbAl1X+3BXAl2X59bu8myTW7s8rm61dtv7mPu2C5+dMsEb+p9cFKiCXGNAyGv23G8f9PpCXgPM3v3N3vBXXm95zCzv49Rt+/uyMBQenBjWEhFFCM9AyoHmKA3ZrYCxsQXOg0dhGZkHPZEB4JnDUlXF7YHKZnxdXIt9Fc3q03SXpmHLsQa15CZF47T8JEzIjueEZEREERHYenvYBlbYzpsCc15WqA+PiIj6sbJXrq6TBbD0+XlkUjYJWz1hruYNc9uHvDZvuNsW9sp2T1jccbvDpfW56rcr8lSqqljd659K4K5I7a65Y9hrNEBzOxF75Kg/EO4u+JVKYN/Xd9xPzpXcl8fVrXeR7Zw0LrQY1hIRRQgZ0OzduxfNaEYWYtSfdse2gzAPy4HBFPrq2o5kADAqI04t1c12rCuuw8aSevXJuyipa0XJtla8v6dStUeQNglJ0X0f8BERUWgZ5HLU2ZNgNxjgPHRM/nDBtmYLcOYUmPMZ2BIRUcDfDIM3bDQZ0V9zEsukbSq0dXnCWwl0ffd96x1vHW5PAKz28bZ58Ozf+Xl8Eyv3J3lGzzFqgKNDX+DmVgSLySCV1p6g1xfgBga6bSFvQOjbxeOex9pC5q4DYmOXjxkHcZsJhrVERBE0oElNTYXZbIbJHgUcr4HW3ArngRJYRudDz1JjrThnTAbOGpmGbaUN+KqoFmWNdvVYk92FTw/W4LNDNRibGa+qbQtTYtgjiogoTANb6xkT1bo/sP1MAtvJMOdnh/rwiIgogkn4JxOTSR/bYPCFwZ7wtnOQK9s8t54Q2OnqsC5tG2R/deu5H/g1TndbhbC0mwgmyYZdUr0cvKLhHrWaMEuIa/AEub4wt926ofN2T9Dc9X6B+/r3MfTweY1txxPsfsUMa4mIIoT0kJo0aRLKy8sRZYqC7fjXartj+0GYR0h1rVyKpG/Su2lGbhKm5yTiSG0rvjpSqyYkk7GILDvLGtWSnWDFGQUpmJgdrz5tJyKiMAxsDYDzoC+w3QqcCQa2REQUtoIdBge2vysrK0NqegZcmsETDPsD3s7Bb+dA2BMeu2Sb3A9c/I/5tnXYx6Wpat+B4NY8k8556ov1RQJhX4jraG7s9+dnWEtEFIGMaUkw5WTAdbQCWosNzgPHYBmtr961JyKfVBakxKilvtWJ9SV12FBc558Z9niDHf/YXoZVeysxKy9JLdILl4iIwiiwPd1bYcvAloiIqA9tIoyIUpO+DWxRTluQ6wlzXR2C3sDF81hbdXH7r/V9nbvbx1wB2/3rmuc2yMXFPag8lv9osNk7tKfoB3xnS0QUoSyTRqiwVjh2H4Z5ZK56cxxuEqPNWDQyDfOHp2Ln8QZ8WVSLo/U2f4uEjw9UY83BGkwaEq+qbYckBkxfS0REYRDYGtSEmP4K27mAuYAtEYiIiPTIV1HqedcVuqs33VqHMFcLDHY9obJs6yr09W/r6vGOz9tuv7aw2rdPo7P/K6kZ1hIRRQiXy4V169ahoaEBCxcuhCUtCcasVLjLqqE1NMNVUhbWl5dKf6DJQxMxaUiCmnzsi6K2Fgnyx3PzsQa1SD/b2YXJGJ0RN6ib0hMRhU9LhAlq3R/Yrt2q7jOwJSIiou7Iez2jmoQOIVVbW4u7+/k5GdYSEUWQlpYW2GyeqlNhGT8MtrJqte7YeRimvKywn5hLjj8vOUYttS0OfH2kDhtK6tDq9Fx+crimRS0pMRacXpCEaTmJiDbrv18vEdFgJb/XVWArPWwPBAS2mgZz4ZBQHx4RERHRgGJYS0QUQROMTZ06FZWVlWpdmIakwZgcD3dtI9xVdXBX1MKUmYJIkRxjwdIx6Vg4IhWbj9WrFglVzQ71WE2LA+/trsRH+6oxLTcRp+cnIzXWEupDJiKi7gLb070Vtr7A9vNt6j4DWyIiIhpMGNYSEUXQG92kpCRVWeurnlWN56W61vuG17HzUESFtT5WsxGn5SdjZl4SDlQ2qxYJB6qa1WM2l1uFuF8V1WJMZhxmFySricvCvcKYiGhwBLbelgissCUiIqJBov+74AbZqlWrcMUVV2DEiBFqQPeTn/yky/3sdjuWL1+O7OxsxMXFYcmSJdizZ8+AHy8RUaiZCrJhiI1W6zLhmLuxBZHct2hURhyunJmDG+fmY0Zuoup1K2Sy0N3lTXhp3VE8+0Uxth6rVw3hiYhIf4GtTIqpaFCBrfNwaagPjYiIiGhAhF1Y+95772HLli1YsGABkpOTu93vpptuwnPPPYcVK1bgrbfeUpVmixcvRl1d3YAeLxHRQNE0DeXl5aiurlbrPgajEeZRef77zn3Fg+KkZMZH4YIJWbh1wTAsHpWGhKi2vrWlDTa8ua0Mv11zGJ8dqkGLwxXSYyUiog6B7WnjOwe2h47xZSIiIqKIF3Zh7a9//Wvs2LEDL774orrctyslJSV4/vnn8eijj+Laa6/FOeecg3/84x9qhrZnn312wI+ZiGgguN1u7Nq1CwcPHlTrgSwjcqTsVK07DpRAcw2ecDLOasL84am4ef4wXDwpC0MTo/yP1bc6sWpvJR7/5BDe3VWBGm+/WyIi0mFg+8U2BrZEREQU8cIurPVNmnMiK1euVEHFpZde6t+WmpqKpUuX4p133gnyERIRhY5ccZCQkNBpuyEmCqb8bM8dmwPOouMYbKQdwuShifjhGXm4ZlYuxmTEycTjit2l4csjtXhyzWH8fXMpSmpbQ3y0RETkD2x9V4cwsCUiIqJBICInGNu9ezcyMzORktJ+Ep1x48bhhRdeCNlxEREFk8lkwpQpU1QrBFnvyDI6Dy5vzz/n3mJYhucM2jf/hakxaqlssqvJyDYfrYfTram+tjvKGtWSnxyN2YUpGJsZp3rhEhFRaH5nW2eNa2vjo1oibJO5x2AZPpSnhIiIiCJORIa1NTU1XfazlfBWejl2R/rayuJTX1+vbqVKt+MlxRQach6kFyfPhz7wfITZOUlNhCE5AVptA9xVdXBW1sKYmojBLDXGjP8Ym46zhqdgXUkd1hXXo8nuaRFxpLYVRzaXIiXGjDPykzE1JwFWU+8vSOHPib7wfOgP/6ZTrwNbuSLii22q1HawfvBIREREkSvkYa1M+FVaevLZXYcPHw6r1RrUY3nooYdw//33d9peUVEBu90e1O9NPX9DJ//PSBjVk5YYFFw8H+F3TizZSYiubVDrDTv2wzbG2wuQMC4eGDUmBvtqnNhSYUeNzRN417Q48e6eSny4vxLj06yYlG5BnKXnv3/4c6IvPB/6w8lfqVeBrcFzdYiwf7Fd3TKwJSIiokgS8rD29ddfx7Jly066n0yaM3bs2B49p1TQdjXwl4pb6V3bnTvvvBO33npru8ravLw8ZGRkdFmpS6F5ky2DdTknDGtDj+dDX1wuFzZu3IjGxkb1AZfFYum0j5aSitZ9xwCXG9byOiTOmQJDFy0TBrOh2cD8sRoOVLWoFgkHq1vUdpsL2FRuV0HupOwEzC5IQlZC22Rl3eHPib7wfOhPsD+MpwgLbGdKha0Bzr1H2gJbzTuRJhEREVEECHlYe91116mlP0moW1ZWpsLZwL610sv2RIFvVFSUWjqSUJDBoL4G6jwn+sHzoR9STdvc3IyWlpbuf0airDDlZXl619qd0I5VwVTgnXiM2hmdGa+W4/U2fFFUg22lDXBpgFsDtpQ2qGV4WgzmFKRgZHqs+lnoDn9O9IXnQ184xqLeB7ZjPRW2e7yB7ZfeClsGtkRERBQBIvI68qVLl6qB/5tvvunfJsHtypUrcf7554f02IiIgkV+702aNAmjRo06YfgR+GbWeeAoT8hJZCdG4duTsnHz/GGYNywFMea21/ZgVQv+uvEYnv78CDaW1MHJ/uZERAMT2M4YC/OYfP82CWwdB0r46hMREVHYC3llbW8VFRVh3bp1al0qyA4cOIA33nhD3b/kkkvUbW5urqrWXb58uZoRPScnBytWrEBSUhKuv/76kB4/EVEw37xKqxen03nCKk9jVioMcTHQmlrgOl4Jd3MrjLHRPDEnkRhtxtmj0zFveCo2H61XLRJqWhzqsfJGO/65oxwf7KvCafnJmJmXhDgr20sQEQU7sBVtFbY71K1lBPuxExERUfgKu7D2o48+wjXXXOO//95776nFdwmwz5NPPon4+HjccccdaGhowNy5c7F69WoV2BIRDfY3uObhQ+HYdkD1+XMePAbrxOGhPqywEWU24vSCZMzKT8Lu8iZ8frgGxbWt6rFGuwsf7q/CmoPVmJKTiNkFyUiNCbs/tURE4RXYGgxw7i5qC2ylh+1IBrZEREQUnsKuDcLVV1+tQtmulkDSe/axxx5TvWulAnfVqlU9nqCMiCgcye/Bqqoq1NbWdvqd2JF5eEArhEPHTro/dWY0GDA+Kx7XnZ6H607PxYSseGmhqDjcGtYX1+EPnxXhtc2lONbo5GtMRBSswHb6GJjHFvi32b/aAcf+Yr7eREREFJZY7kNEFEGz3G/fvh1NTU0YMWKEagPTHWN8DIwZyXBX1EKrb4JW2whDSsKAHm8kyUuOQd7UGNQ0O/BlUS02Hq2D3aVJcRf2VDRjTwWwruIo5hSmqIDXZOy+TQUREfUtsFUVtrsOq232r3Z6KmxH5fHlJCIiorDCsJaIKIIkJCT0uILTXDAE9opate4sKoWVYe0pS4m14LxxGVg4MhUbSurxVVEt6m1O9dixehve2HocSdFmnJ6fjBm5iYi2sK8tEVG/BbbTRqsrHBy+wPbrneqWgS0RERGFk7Brg0BERF2TStrp06dj/PjxJ6yq9THnZ8F33b6z6Dgv0+9HMRYTzhyWgpvnF+LbEzORHtP257au1YmVeyvx+CeH8d7uCtR6JykjIqJTD2wt00bDMq7Qv00CW8detkQgIiKi8MHKWiKiQcoQEwVjVhrcx6ugNbbAXVUHU3pyqA8roki7g8lDEpBlbEaLJRFfHKnD3oom9ZjN5cYXRbX46kgtxmXFY05BCnKTo0N9yEREERHYyoeRjp3eCtt1UmGrwTI6P9SHR0RERHRSDGuJiAYxc2E27Mer/NW1DGuDFx4UpsZgeHocKhrt+LKoBpuPNcDp1uDWgB3HG9WSnxyt+tqOyYxTE5gREVHffudapo6WNTh2HlLb7Ot2qVsGtkRERKR3DGuJiCKEy+XC5s2b0dDQgLS0NBiNJ+90Y87Ngt24E5IYuqQVwrQxMHDyq6DKiLfimxOysGhUGtYdqcPXxXVosrvUY0dqW3FkcylSYy04oyAZ04YmwmpmxyIior4FtqPUervAViYdG8MKWyIiItIvvgMkIoog9fX1aGxs7PH+higLTEPT1brWYoO70jPhGAVfnNWMhSPTcMv8QlwwIRMZcVb/Y9XNDryzqwKPf3IIq/dWor7VM0kZERH1PrC1TBjm32ZfvwuOPUf4MhIREZFusbKWiChCSCXthAkTUFVV1aOqWh9TXhZcJRVq3VlSDlNmShCPkjqymIyYkZuE6TmJ2F/ZjM+LanCwqkU91uJ0Y82hGnx+uAaThiRgdmEKshOi+CISEfUmsJ0iFbYGOHYc9Ae2qoftmAK+jkRERKQ7DGuJiCLoDWl6ejrcbrda7ylzTgbssr+mwVVcBm3a6F59PfUPec1HZcSp5Xi9DV8U1WBbaQNcGtQiPW5lGZ4WoyYjG5key/NERNTD36+WKSPVeltgu1vdMrAlIiIivWFYS0Q0yBmirDBmpsBdVg2tsQVabSMMKQmhPqxBLTsxCt+elI3Fo9Lx9ZFarC+uU1W2QqpuZZG2CbMLkzF5SIKqziUioh4EtgbAsT0gsJUetmNZYUtERET6wXd3REQRQtM01NbWqgnGZL03zHmZ/nVphUD6kBhtxtmj03HrgmE4f1wGUmMs/scqmuz43x3leOLTw/h4fxWa7OxrS0R00sB28khYJg73b7Nv2A3H7sN84YiIiEg3GNYSEUUIaX+wZcsW7NmzR633him3LayVVgikL1azEafnJ+M/5xXgu1OHID852v9Yk92Fjw5U4/FPDuNfO8pQ2WQP6bESEek9sLVOGQXLpBH+bfYNe+DYxcCWiIiI9IFtEIiIIkhsbCxcLlevv84YFwNjaiLc1fVw1zTA3dgCY3xMUI6R+s5oMGBcVrxaSmpb1WRkO483ylW8cLo1rC+pV8vojDjMKUxGYUoM+9oSEXXBOtnbw3bbAXVr37hH3VrGFfL1IiIiopBiWEtEFCFMJhNmzZqF8vJytd7rr8/LVGGtcJWUw8gefrqWmxyNy5KHoGa0A18V1WJjST1sLk9F9d6KJrUMSYzCnIJkTMhOgMnISeOIiAIxsCUiIiI9YhsEIiJSzLlZ/lfCebSCr0qYSImx4NyxGbh1QSGWjk5XfW59SutteHNbGX675jA+O1SDFkfvq66JqP+tWrUKV1xxBUaMGKGq33/yk590uZ/dbsfy5cuRnZ2NuLg4LFmyRLW6of4NbC2TA1oibNwDx85DfImJiIgoZBjWEhGRYkiKgyHW0wvVXV4NzcEJq8JJtMWEucNScPO8QlwyORtDE6P8j9W3OrFqbyUe/+QQ3t1VgZpmR0iPlWiwe++991SP8QULFiA5Obnb/W666SY899xzWLFiBd566y3YbDYsXrwYdXV1A3q8kc46SQJbT1sEYd+0F3YGtkRERBQiDGuJiCKE9KqVN/979+7tU99aqe4y5WR47rg1uMqq+/8gKeik3cGkIQn44Rl5uGZWLsZkxMHXAMHu0vDlkVo8ueYw/mdzKYprW3hGiELg17/+NXbs2IEXX3wRSUlJXe5TUlKC559/Ho8++iiuvfZanHPOOfjHP/6B2tpaPPvsswN+zJHOOmlEu8DWIYHtDlbYEhER0cBjWEtEFEHkTXx9vafvbF+Yhqb7113HKvvpqCgUJHwvTI3BFdOH4idnFmBmXhIs3r61MiHZzrJGPP9VCZ7/qlituzXZSkQDwWg8+RB85cqVcLvduPTSS/3bUlNTsXTpUrzzzjtBPsJBHNhOCQhsN0tgezCkx0RERESDD8NaIqIIevM/duxYDBs2rEdBQFdMWamAN9CTsFZjgBcR0uOs+Ob4TNyyYBgWjUxDvLVtArri2lZVZfu7NUX4sqgWNqdnkjIiCq3du3cjMzMTKSkp7baPGzdOPUbBYZ0oge0o/33H5n0MbImIiGhAtc1CQkREYV9JmZWVpW5l6dNzWMwwZqbAfbwaWlMLtPomGJLi+/1YKTTirCYsGJGKucOSsa20AZ8frkV5o109VtPiwLu7K/DR/ipMz03E6fnJSI6x8FQRhUhNTU2X/WwlvK2u7r5NjfS1lcXHd7WFVOnKQidnHl+oPqx0bt3vD2w1twbLhGH98vLJeZDn5/nQB54P/eE50ReeD/3hOdGXYPw9Z1hLRETt/zAMzYD9eLW/utbIsDbimI1GTMtJwtShiThQ1axCW7kVrU63uv/F4VqMy4rH7IJk5CVH9/kDAKLBQCb8Ki0tPel+w4cPh9VqDeqxPPTQQ7j//vs7ba+oqIDd7vlwhnogIw7WEdmIOnBc3ZXgtqmpEfbCrH55Uyf/z0hg29crYaj/8HzoD8+JvvB86A/Pib4EY+JXhrVERBFC3vRJBVVTU9MptS9QfWs37lHrzmOVsIwr7MejJD2RAHZkepxayhpsqg3C1tIGON2av6+tLDmJUTijIBkTshPUBGZE1N7rr7+OZcuWnfRl2bVrl2pX0xNSQdvV4F8qbqV3bXfuvPNO3Hrrrf778nchLy8PGRkZXVbq0glkZsIRHw/nFk+FrQS3cXFxsEwYfspvsuX3r5wThrWhx/OhPzwn+sLzoT88J/oSjA/iGdYSEUXQH+1NmzapsDY/Px8mU1tf0t4wJMbBEBcNrakV7vJqaE4nDGb+uYh0WQlRuHBiFhaPSsP6kjqsO1KHRrtLPXa03oY3t5Vh5d5KnJafjJm5SYgN6HtLNNhdd911aulPEuqWlZWpcDawb630qz1R4BsVFaWWjiQUZDDYe1ETR8BgNMKxaa+679x6AAYY1GRkp0LCWp4T/eD50B+eE33h+dAfnhP9CMb4itfdEBFFkOjo6FP+ZE/+8JuGpHvuuDW4Kmr75+AoLMRHmbFwRBpuWVCIb0/MQnZCW+jTYHPhg31VePyTQ/jXjjJUePvdElH/W7p0qRr8v/nmm/5tEtyuXLkS559/Pl/yAWQdPwzWaaP99x1b98O+zVNtS0RERNTfWCpFRBQhpJL29NNPR3l5eZ+rav3PlZ0G5/4Ste4+XgX4wlsaVH1tp+YkYsrQBBTVtOKLohrsKW9S7REcbg3rS+rVMjItFrMLkzEiLZZ9bYl6qKioCOvWrVPrzc3NOHDgAN544w11/5JLLlG3ubm5qlp3+fLl6nd6Tk4OVqxYgaSkJFx//fV8rQeYZfww+TQTdm+bIMfWA5BfiNbJI3kuiIiIqF8xrCUiok5MWW39EF3eycZocJJK68LUGLVUNzvwVVEtNh6tg93l6Yu8v6pZLRlxVpxekKzCXauJF+4QnchHH32Ea665xn//vffeU4sI7Dn+5JNPIj4+HnfccQcaGhowd+5crF69WgW2NPB8Pdz9ge22A+qWgS0RERH1J76bIiKiTgzRVhiT49W6u7oems3BV4mQGmvBeeMy8LMFw3DumHSkxLR95lvRZMe/d5arFgmr91aivtXJV4yoG1dffbUKZbtaAknv2ccee0z1rpUK3FWrVvV4gjIKXmBrnT7Gf18CW/tWtkQgIiKi/sPKWiKiCJpgbPv27Wrm7/T09FNudG7MToO7tlGtu8qrYc7L6qcjpXAXbTFhdmGKqqSV1ghfFNWiqKZFPdbicGPNoRqsPVyDCdkJmF2QjJyk6FAfMhFR0CtsLZNGsB0MERERnTKGtUREEUIqsqqqqtDU1NSpOquvrRCcu4v8rRAY1lJHRoMB47Li1XKsrhVfHqnF9tIGSIcEtwZsK21QS15ytAptx2bGw2Q08IUkosgIbA2AfUNAYKtpsEweycCWiIiITgnDWiKiCOotOnr0aFRXV/fLG0XVt1aeR9PgKqvql2OkyDU0KRoXTcrGktHp+PpIHdYX16HZ4VKPFde2orj2OJKjzTitIBnTcxIRYzm1SfCIiELNMlYqbA2wb9it7ju2H/RsZ2BLREREp4BhLRFRhJC2B0OGDFGzhp9qCwRhsJhhTE2Eu6oOWl0T3C02GGOi+uVYKXIlRJmxeFQa5g9PwdbSBnxZVIvyRrt6rLbViZV7KvHx/ipMzUnEGfnJSIuzhvqQiYj6zDK2QN22C2w1wDKFFbZERETUNwxriYioWybpW1tVp9bdx6tgHDaUrxb1iMVkxIzcJFVFe7C6BV8crsG+ymb1mN2lqerbdUfqMCojDmfkJ2F4WiwvHSai8A1spSXCem9gu8NbYcvAloiIiPqAYS0RUYSQPrXSr7alpaVfetYKU3aq/02nq6waZoa11EvSkmNEWqxaKpvsqtJ287F6OFyaFJ9hb0WTWjLirDgtPwlThiYiynzqleFERAPJMkYqbA2wr9+l7nv+dmqwTBnFD6KIiIioVxjWEhFFCLfbjfXr16vANjc3V7VDOFXG9KS2vrUVtf1ynDR4pcdZ8Y3xmapNwoaSOlVdW9fqVI9VNNnxf7sq8MG+KkzPTcRpeclIibWE+pCJiHrMMibfU2G7zhfYHvK0RJjKwJaIiIh6LqxKV1wuFx599FHMnz8f6enpSE1NxVlnnYU1a9Z02tdut2P58uXIzs5GXFwclixZgj17PLO1EhFFKovFArO5/z6HM5g9fWuFVt8ErdXTe5ToVMjkYmcOS8VP5xXiO1OyUZAS43+s1enG54dr8eSaw3h10zEcrGrut0pxIqJgs4zOh3XWOP99x85DcGzey99jREREFJlhrVza+9BDD2HGjBn47//+b7zyyitISUlRge2HH37Ybt+bbroJzz33HFasWIG33noLNpsNixcvRl2dp/ciEVGkkUraOXPmYOrUqf1SVetjzEj2r7sqWV1L/cdkNGB8dgKuPS0XN8zOx7ScRJiNBvWYxLO7y5vw3+uP4unPj2B9cR3sLjdffiIKk8B2vP++Y+dhODYxsCUiIqIIbIMQExODgwcPqoDWRypmJ06ciCeeeAKLFi1S20pKSvD888/j6aefxrXXXqu2zZo1C/n5+Xj22Wdx2223hezfQEQUbkyZKXDuLlLr7vIaIDcz1IdEEWhIYhS+NTELS0ZLi4R6NflYvc3TIqG80Y5/7SzH6r2VmJ6bpHrbJsewRQIR6ZdldJ6nJcLXO9V9x67Dnu3TRof4yIiIiEjvwqqyVirFAoNa37bJkyfj2LFj/m0rV65UvRsvvfRS/zZpmbB06VK88847A3rMREThzpTR9nuXfWsp2OKsZswfnoqb5xfi0inZyE+O9j/W4nRj7eEa/PbTw3ht0zEcrmaLBCLSL8uoPFhPC6iw3XUYdlbYEhERUSRV1nbF6XTiyy+/xLx58/zbdu/ejczMzE7B7rhx4/DCCy+E4CiJiIJPPqTatWuXavcifb2Nxv75PM4QbYUhMU71rHVX10FzumAw91+bBaLuWiRMzE5Qy7G6Vnx1pBbbShvh0jTVImFXeZNashOsOD0/GZOGJMBiCqvPoIlokAS2wldh65QKW7cbyGlrMUREREQUUWGtTDh29OhR3HLLLf5tNTU1SE7uPACS8La6urrb55K+trL41NfX+wMQWSj05DzIRDM8H/rA86G/SRjLysrQ1NSk1vsrrBXG9CS46psAtwZnZQ1Mman99tyRjj8np04C2QsnZGLxyFRsOFqP9cX1aLS71GPHG+z4545yrNxbiRk5iZiZl4Sk6O6HNzwf+sO/6TQoAltpifCVN7DdcwRRzc3QMtlWiIiIiHQY1koFWGlp6Un3Gz58OKxWa7ttq1atwr333ot77rlHTTp2qmTysvvvv7/T9oqKCtjtnAFdL2/o5P8ZCWz7M4gino9I+fmQD6Xkd6X83jKb++9XvDnKhBjvesOho7DD00uUenZe+Hur/4yLB0aPicHBOie2VdpR1uz5MLXF4cZnh2ux9nAthieZMSndguw4EwwGz4RlPB/6xclfaTCwjJQKWwPsX+1Q963FlWrSMeOMsZ1+TxEREdHgFvKw9vXXX8eyZctOup9c2jt27Fj//Y0bN+Liiy/GFVdcocLaQBJWdDXwl4pb6V3bnTvvvBO33npru8ravLw8ZGRkdFmpS6EJPWRAK+eEYW3o8Xzoj7SAkaC2v39G3DHxsO0qVusxLQ4ksxqo568df28FxZBsYO4Y4KhqkVCHHWWNUvitWiQcqHOqZUiCVU1GNjErHmZviwSeD/3p+GE8UaSyjMxVt77A1rXnCKQcxMrAloiIiPQU1l533XVq6Y39+/fjvPPOw5w5c/D88893elxCXbkUWMLZwL610ss2MPDtKCoqSi0dSeDBYFA/JKzlOdEPno/BcU6kZ630rtVa7XBX1qnvwUqg0J4T8shLiVXLOTYn1hfXYV1xHZq8LRJKVYuECqzeV40ZuUmYlZeEeKuR50Nn+HNBgy2wlSvEpIetwdsSQTCwJSIiIp+we9coLROWLl2K/Px8vPHGG7BYLJ32kcdl4P/mm2/6t0lwu3LlSpx//vkDfMRERAND3vy1traq3tuy3u9hY4b3CgOHU002RqQnCVFmnDUyDbcuKMRFk7IwNLHtw1cJbz89WI0nPj2EN7aWobTJ2e8/I0REPWUekYPWcZ6Jx+ANbO0bdvP3EhEREemjsrY3WlpaVEVtZWUlnnzySWzfvt3/mFTETps2Ta3n5uaqat3ly5fDZDIhJycHK1asQFJSEq6//voQ/guIiIJHLu/+6quv1ARjQ4cOVb//+pMxLQmu4nK17qqqgzEpvl+fn6g/mI1GTBmaiMlDElBS14ovi2qx09siQRZpl7CjDPiyrASn5Sdj0pAEWL0tEoiIBopzaCosiYlweFsiqApbDbDOZA9bIiKiwS6swlppbbBlyxa1fsEFF7R7rKCgAIcPH/bflzA3Pj4ed9xxBxoaGjB37lysXr1aBbZERJEqmJfam9KS4PCuSysEDM8Jyvch6q9q8LzkGLXUtzpVe4QNJW0tEo432PG/O8qxak8lpuUmYlZeMlJjO1+tQ0QULObhQ2EwGmD/wlOA4twrLRE0WGeOY6shIiKiQSyswtrCwsIeXx4klbaPPfaYWoiIBgOppJ03bx7Ky8v7varWV1nr467qPIkjkV4lRpuxeFQa5g9PwfbSBnx+qBLlzW71WIvTjc8P1+KLw7UYnRGnJiQbnhYLI2dnJ6IBYPF+8NkW2BZ7KmxnMbAlIiIarMIqrCUiotAxWMwwJMVBq2uCu6YBmssFQxBCYaJgsZikRUIChphb4IhKxLqSemwvbYRL0yQbwZ6KJrWkxVpUi4SpQxMQbeH/40Q0EIGtVNhuU/ed+4rVLQNbIiKiwYlhLRER9aoVgrOuSWYzU4GtKd076RhRmMlJikZeSizOGePEhpJ6rC+uQ12rUz1W1ezAu7sr8MG+StX/VqptM+PbJiwjIupvFmmJYABsEthqDGyJiIgGM4a1REQRNMHYnj17UFdXh/T09KD0rlWtEA4e83y/yjqGtRT24qxmzB+eirmFKdhb0YSvjtTiUHWLeszu0lSvW1mGpcaoatsxGXEwGQ2hPmwiikDmYUPVbbvAVtNgPW08e9gSERENIgxriYgihPT0Pn78OJqamnrc3/tU+ta6qurA6ZgoUkgAOy4rXi3ljTZ8faQOW47Vq8BWSIAri/S/nZWXhOk5iYiP4jCKiIIc2O4vUfcZ2BIREQ0efJdBRBQhDAaDmoixpqYmaBU4xuQEQCp23W5OMkYRS1oefGN8Js4elYbNxxrw9ZFa1RpB1Lc68cG+Kny8vxoTh8TjtLxk5CZHh/qQiSiCMLAlIiIa3BjWEhFFCGl7UFBQgJiYmKC0QBAGkxHG1ATVAkFraIZms8MQZQ3K9yIKNZlc7IyCZNWz9mBVs6q2lVYJUmsrk5JtOdaglpzEKNUiYUJ2vJrEjIioXwJbgwG2z7e2VdhKS4TTJ7AlAhERUYRjWEtERL1uhSBhrXBV1cM8NJ2vIEU0o8GAkelxaqlpdqgethtL6tDidKvHj9bb8Pb2MqzcW4npuYmYlZuEpBg2CSGiU2MuHKJu/YHtgaPqPgNbIiKiyMawlogoQkifWrvdDofDEbSetcKUlgSnd91dVQcwrKVBJCXWgqVj0rFwZCq2lzbgqyN1ON5gU4812V1Yc7AGnx2swdjMOJyen4zC1BhWwRFRPwS20sNWY2BLREQ0CDCsJSKKEG63G1988YWaYCw7Oxsmkyko38eYmtj2PWsagvI9iPTOajJiem4SpuUkori2FV8dqcXOska4NVUAh13lTWrJiLOqNgpThiYiyswWCUTUx8BWWiKs3doW2GqA9Qy2RCAiIopEDGuJiKhXDAlxgPTldLnhrqnnq0eDmkzml58So5YGmxPri+vU0mh3qccrmuz4v10VWL2vClOHJmBWXjIy4tnnmYh6x1yQrW79ge1BaYkgPWwnwmAMzqSiREREFBoMa4mIIoRU0i5YsADl5eVBq6oV8qbQmJygWiBojS3QHE4YLPxzQpQQZcZZI9Mwb3gqdpc1qmrbI7Wt6oWxOd2qZYIsw1JjcFpeEsZkxsPEkIWIehPYGgDbZ77A9pjazsCWiIgosvDdNRER9ZoxxRPW+lohmDJT+CoS+QZXRgMmDklQS2m9DV8fqcW20gY4pEcCgEPVLWpJiDJhRm4SZuYlqaCXiOikb97ys4EzOwS2qiUCK2yJiIgiBd8ZEBHRKfatrWdYS9SNIYlRuHBilpqUbPPReqwrrkNVs0M91mBz4eMD1fj0YDXGZcZjVn4SClM4IRkR9SSwNcD22RZPYHvIW2HLwJaIiCgiMKwlIoqgCcb279+P2tpapKenw2g0BrWy1v99qznJGNHJxFhMmF2YgtMLknGoqhlfF9dhT3mTmoxMCm53lDWqRSYkk9B2ytAERJuD186EiMKbOT8LmDcFtjUMbImIiCINw1oiogihaRqOHj2KpqYmtR5M0rNW+uZJ0sRJxoh68bNjMGBEepxa6locWF9Shw0l9WgKmJDsHZmQbG8lJg9NVL1tsxKi+BITUSfmvM6Brfz9j5o9iZOOERERhTGGtUREkTQrfX4+ampq1HpQv5fZBENCHLT6JrjrGqG53DCYglfJSxSJkmIsWDwqHQtGpGFXWaPqbeubkMzu0rC+uE4tBSnRmJWXjHFZ8aofLhFRd4Gt63ApbAADWyIiojDGsJaIKEJI24Nhw4YhLi4uqC0Q/N8vJQGu+iZ1Dbe7vhGmlLY+tkTUcxLAThqSoJbjDTbV13brsXoV2IqimlYU1RxHvNWE6TIhWW6iCnqJiNoC26mwfbZZ/U1uC2xl0jF+kEpERBRu+NebiIj6YZIx9q0l6g/ZCVH45vhM/GzhMJw/LkP1sPVptLvUZGRPfHoYr206hgNVzXAHueUJEYUHc14mouZNlV4r6r4KbD/fBs3tDvWhERERUbAra2UCm82bN+Orr75CaWkpWlpakJaWhjFjxuDMM89ERkZGb5+SiIj6gfSpc7lcagl2z1phSkmAwz/JWD0wPCfo35NosJDJxU7PT1Y9aw/XtODrI3XYXd6oJiOTn+5d5U1qSYu1YFZeEqbmJKpJzKhntm3bhlWrVnU5np0/fz7OPfdcdZUCUTgx52Z6KmzXeCtsi457KmznSA9b1ugQERFFXFh74MABPPXUU/jb3/6GiooKmEwmJCcnIyoqSs083tzcrHokzps3D8uWLcPll18+IJfhEhFR24dpn332mZpg7JxzzlG/p4PJGND2gJW1RMEhY6thqbFqqW91YoOakKwODTbPhGRVzQ68t6cSH+yrUm0UTstPwpDEaJ6OLsiHWH/+85/xu9/9Dps2bUJKSgomT56MrKws/3j2gw8+UOPd2NhYXHbZZbj77rtRWFjI15PCBgNbIiKiQRLW/vCHP1SD27lz5+L+++/HnDlzMGHChHZBQGVlJdatW4f33nsPt912Gx544AG8+OKLal8iIoo8hmgrDDFR0FpscNc2qCAk2BObEQ1midFmnDUyDfOHp2JPeSO+Lq7DoeoW9ZjDrWHj0Xq15CZFq9B2fFY8LJz4z0/Grna7HVdddZUqPhg7dmyXr7MUIMh49rXXXsPEiRPxpz/9CVdcccVAnWai/gls50+D7dNNbRW2GhA1lxW2REREEVVZu2PHDowYMaLbx9PT03Heeeep5fHHH8crr7yCw4cPM6wlIhogcjWDtKMpLy8fsCsbjMkJcLXYALtThbaGWFb0EQWbyWjA+OwEtVQ02rGuuBabjzXA5vT0piypa0XJtla8t7sS03MTMTM3CSmxnJBMqmS/+93vnvT3o1TVXnTRRWqRsezRo0f5PzWFHXNORvvA9oi0RNAQNXcyWyIQERFFQlgrFQW9IRW3P/jBD/p6TERE1AdS1Sq/f2UZqApXQ3I8UFqp1t11jTAyrCUaUBnxVpw/LhOLR6Vja2kD1h2pRVmjXT3W7HDhs0M1WHuoBqMy4lT/2xHpsTAO0gr4vlTHSgsEtkGgyAlsy2DDVga2REREkTbBGBERkY8xKd6/rtU2AkPS+eIQhUCU2agmGpuZm4ji2lZ8faQWO8sa4fJOSLa3okktKTGeCcmm5SQi1soJyQKtXbsWu3btUvMvyERjRJEV2MqkY25PYKttRdSZrLAlIiLSqx5fJ1tfX6/6d/3rX/9CQ0OD2rZ9+3Y1+YL0AFuwYIHq7UVERKGbYOzQoUMoKSlR6wPBKJW1vu9f1zgg35OIuidV9fkpMbhkyhDcumAYFo9KQ1J022fzNS0OrNxbid98cghvbTuO4toW1W96MFbZXnPNNf77zzzzjAppZZ6GqVOnqonGiCIpsI1aMFX6Jan7ruIy2D7bCm2AxgpEREQUhLBWQtlx48bh/PPPx4UXXohRo0apGcfnz5+Pjz/+GAkJCdi5cye+973vqTCXiIgGngQuR44cwfHjxwcsfDEmxfnX3VJZS0S6ER9lVpOR/XReIS6fNgQj0mL9jzndGrYca8DzX5XgmS+OqL63vp63g4GMY2WeBZ+HHnoI1113nSpOuOSSS9SEukSRxDxUAttpHQLbLQxsiYiIwjWsveuuu5CVlYXNmzdj//79agKbb3/72+pWKri+/PJLFBcXY8mSJXjkkUeCf9RERNRlRV1OTg4yMzMHrmet2QxDfIy/snYwVugRhcOEZGMz43HlzBzcdGYBZhckI8bcNgQ83mDHv3dW4DcfH8K/d5ajrMGGSFdRUYEhQ4b4J9GVcexPf/pTxMfH46qrrsK2bdtCfYhE/c48NL1DYFvuCWxdg+eDGiIioogJa7/++mv8/Oc/x+TJkzF8+HA89thjqKqqwo9//GNYrVa1T3R0NH7yk5+oXl9ERDTwZIbzkSNHIj8//6SznQelb63TBa2pdcC+LxH1XlqcFeeOzcDPFg7DtydmITcp2v+YzeXGuuI6PP35EbzwVTG2HquHM0Ivk05LS0NRUZFalzZfEtxKWy/hcrkGrJUMUUgC24XT5FMcdZ+BLRERUZhOMFZeXo7c3Fz/fd+6VG8FysjIQG1tbX8fIxER6Zj0rXUdrVDr7toGGL2VtkSkXxaTEVNzEtVSWt+qQtqtpQ1wyIxkAI7Utqrl3d2VajKymXlJSI21IFJIC4Tbb78dW7Zswcsvv4wf/OAH7dp/DRs2LKTHRxRM5iHpMCyYhtZPNgEuN1wlngrbqDOnwOANcYmIiEjnYa0IvKR2oC6vJSIi/fNX1vomGctt/0EeEenbkMRoXDAhGktHp2NLaQPWHalDRZNdPdbscGHt4Rp8frgGI9JjMSsvCaMz4mAM87GgXCUmFbRSVStzMgT2qH377bdx7rnnhvT4iILNNCQd0Qumo/WTjQGB7WZEnTmVgS0REVG4hLWvvvqqmoxByKVhEtj+7W9/UxOM+cjENkREFBoSPHz66adoamrCOeecM2CtEAzJAWEtJxkjClvRFhNOz0/GaXlJKKqRatta7CprhBTbSr3t/spmtSRFmzEjNwnTcxORENXjoaSuJCUl4cUXX+zyMd94lyjSmYakIXrhdLR+7AtsK2BbsxlR8xjYEhERhVKPR9hPPvlkp21PPPFEp22suiUiGlyMifGAFNlJoFPfFOrDIaJTJGO5wtQYtTTanNh0tB7rS+pQ2+JUj9e1OvHh/ip8fKAK4zLjVbWt7MsxIFH4MWV3CGyPMrAlIiIKtR6VXUklbU8XqewiIqKBJ5W0s2fPxpQpUwZ0gjHpb2eI8/Spddc3QdM8PS+JKPzFR5kxb3gqfjqvEN+bPlS1QPA1QHBrwI6yRry8/ij+sLYIXxTVoMURHuPAlpYW3HXXXRg9ejRiY2NhMpk6LUSDLbD1Tzomge2nm6G5ONEeERFRKITntWtERNSJVLVZrVZYLJYBr3AzJsbB1dgCOF3QWmwwxLbNME9E4U961EpQK0tti0NV2m4sqUeT3RPOVjY58N7uSnywtwoThySoatucJP3+Hrjxxhvxyiuv4PLLL8f48ePV706iwaxThe0xT2AbNZ8tEYiIiHQZ1va2F21+fj6C5de//rUaXB86dAgOhwPDhw/H9ddfrwbdgeGEVHY98sgjePrpp1FRUYGpU6eqtg1nnHFG0I6NiGiwMiTGAccq1bpqhcCwlihiJcdYcPaodCwckYbdZY1YV1yHwzUt6jGHW1NtE2QZmhilQlsJb606m2H+X//6l5pk7Cc/+UmoD4VIX4HtWTPQ+pEEti5vYLvJG9iy2pyIiEhXYW1hYWGvqrSC2QqhtrYW3/nOdzBx4kRER0fjgw8+wE033YT6+np1OZuPBLX33nsvHn74YUyePBlPPfUUli5dis2bN6uAl4go0kgrmqKiItTU1CA9PX1AWyFIZa3/OOqb1Bs+IopsZqNBBbGylDfasL64DpuPNcDm9Fw6fazehn/uKMf7eyoxdWgiZuYlISNeHxWs0uZAWiAQUYefjaxURJ81PSCwrQyosGVgS0REpJuw9u233/avNzY24o477sCIESNw8cUXIysrC8ePH8ebb76JgwcPqpA0mB588MF2988++2xV+fvyyy/7w9rW1lY89NBD+NnPfoZbbrlFbZs3b54alEsVhVTbEhFFGrmi4PDhw2hqasKkSZMG9Ht3DGuJaHDJjI/C+eMyVcXttuMNqtq2tN6mHmt1uvHlkVq1DEuNUdW2YzPjYTIObLuWQD/60Y/wl7/8RX2QT0Q9CGw/2YyoBQxsiYiIdBPWXnjhhf71ZcuWYcmSJXjxxRfb7SPVrddccw1Wr16NK664AgMpLS0Ndrvdf//zzz9XlbaXXXaZf5v0Irvooovw1ltvDeixERENFLkCIjs7G3V1dSHpWeuj2iAQ0aBkNRsxIzcJ03MScbTOhnXFtdh+vBFOmY0MwKHqFrXEW02YnpuEmbmJITlOmVRszZo1mDNnjvrgPzk5ud3j8jvU94E/0aAObKWHrdMFVykDWyIiIt1OMPb666+rpSsySYO0KOgY5AaD0+lUM/l++umn+POf/6xaHvjs3r1b3Y4dO7bd14wbN05V4crXxcR4Zi4nIooU0vZgzJgxKC8vH9AWCEq0FbCYAYeTlbVEpMLO3ORo5CZn45wxLmw+Vq/aJFQ1O9Sr02h34dOD1VhzsBq5McFrn9Wd22+/Xd3KuPDLL7/s9DjDWiJfYCs9bDcEBLabELVgGlsiEBER6SmslR5fmzZtUtW1HW3cuHFAAoL9+/dj1KhR/vt33313u+oH6dcYFRWletoGSklJUZcJy+NdhbU2m00tPlKd6+sDKQuFnpwHOYc8H/rA86E/oTwnhsRYaFX10Jpa4bI7YDCzt12ozwl1xvMx8KLNBpyRn4TT8xJVVe36knrsrmiCpgFSb7u/0jM52UDizyNRz5gyUzoEtlWewHb+NP6dJyIi0ktY+4Mf/AD33HOPqk791re+hczMTFXFJX1tZTKvG264oVfPJ5frlpaWnnQ/mRRMWhmIvLw8rFu3TvXPlUvY5PtKSHz//ffjVEif266eo6Kiol2bBQodeXMl/89I8DHglYPE8xEGQvkzEm0xweJdryoqgTuBVzCE+pxQZzwfoRUPYOEQI2alx2FXlQM7qx1o+5iciMIlsG39ZBOipcKWH8wSERGFPqyVCbrMZjMeffRR/PKXv/RvlyrWG2+8UQWnvSEtFaQP7sns2rXL39ZAqmZnzpyp1hcuXIjExEQ1mZhMFiH9GqWCVipkZaKxwOpaqaiVy9rk8a7ceeeduPXWW9tV1kownJGR0amXGYXuTbacQzknDD1Cj+dDX1wuF9auXasmGJMejBaLLzodGI6KJjiP16j1ZHMUzJmZA/r99Yo/J/rC86Efw3KAc90a1h88huBOT9s9GSvKBLly29H06dNDckxE4RDYuo8zsCUiItJNWCtBrQS2P//5z7Ft2zZVFTtkyBA183h3IeiJXHfddWo5FTNmzFAhhcyCLmGtL9Tds2cPpkyZ0q6XbX5+frf9aiUElqUjCQUZDOqHhLU8J/rB86EfUrnpW0LxM2JKioPTd6exmb83A/DnRF94PvRDfk2NzUwY8O8rV0zJh/x//etf1TwIXZGxJRF1CGwXzUDrh4GB7UZEL5jOClsiIqJ+1Od38hLMzp8/X00oJrd9CWr7y2effabeeA0bNkzdl5l9pdo2cCI0h8OBt956C+eff37IjpOIKJgknD399NPVh2eh+IDJmBjnX3fXNw/49yci6ilpe7Vy5Uq8/PLL6gOuP/zhD3jppZewePFiFBYW4l//+hdfTKIumDIksJ0JeNsfuI9Xo/XjjdCc/HCDiIiov/To3fy7777b6yeWPq8y4Vh/kp5/c+fOxR//+EesWrUK77zzDm677Tbce++9uP7665GVlaX2k9YH0tJAKoCffPJJfPjhh7j88stRVVWF//qv/+rXYyIi0gv50Ep+/8kVArI+4N8/Pta/rjUO/IRBREQ9JR/o33fffbjsssvU/dNOOw1XXnmlCnDPPPNMhrVEJ2DKSG4f2JYxsCUiIhrwsFaC0KlTp+J3v/sdjh492u1+crnYBx98oNoayIRgmzZt6s9jVSHE6NGj8fjjj+PCCy9Uk5198skneOaZZ1RFRKDbb79dhbgS2Eo1bUlJCd5//311XERE1P9kkhFDjKeVjLuRlbVEpF8yLpQxpclkUuNLmdfA5/vf/367q7OIqJvAdvFMwGLuENh23VaEiIiI+rln7b59+/D000/jt7/9LW655RY16dbkyZPVJE9SwVVbW4tDhw5h69atqu/XN7/5TdWaILBfbH+Q7yWXqPWEVJVJda0sRESDZeIkCSAkdEhPTw9JKwRDfAy0FhvQaofmcMLgfRNHRKQnMt+CjF+FtNH6+OOP1cSMYu/evSE+OqLwYEpPbuth63D6A9vohdLDln//iYiI+srY05BUQlqZLVcqZ6WiVSZmWL9+vbovQe2YMWNUmFtcXIw33nij34NaIiI6Mem7eODAAfV7WNZDwZjQ1gqB1bVEpFcLFy7EmjVr1PqyZcvw8MMP4+KLL1Zts6RlllzBFSxyJdqjjz6q5nyQD9ZSU1Nx1lln+Y8nkIy3ly9fribQjYuLw5IlS9QEukR6C2zbKmxrWGFLRER0isx9GdzKQkRE+iJXFGRmZqr+3qHoWdupb21DM5CSGJLjICI6kQcffBCVlZVq/eabb1YfcEmxQUtLC2666Sbcc889QXsB5Xs89NBDuPrqq1XbLmnF8Kc//UkFttIzd9GiRf595Vhee+011QIsJydHHbdMgrZjxw4kJSXxJJNOK2xr0PrRRkSfxQpbIiKivuD1KUREEULaHowbNw7l5eUhaYHQqbK2gZOMEZE+SaWqLD5yBZksAyEmJkZdrZaSkuLfJhWzEydOxBNPPOEPa6WtzfPPP69akV177bVq26xZs5Cfn49nn31WTbJLpKvAdvFMtH6w3hPYlnsDW2mJwJZIREREvRKad/NERBSRpGetj8ZJxoiIOpFK2sCg1rdN5oM4duyYf5tU2Uov8ksvvdS/TVomLF26FO+88w5fWdIdU1qSZ9Ixq7clgjewlR72RERE1HOsrCUion7DnrVEpFcShr7yyiuqgnXSpEknbBcjj23ZsmXAjk0m6P3yyy8xb948/7bdu3er1jYdg125guKFF14YsGMj6nVgu2gmWj9cD9idcFcEtERghS0REVGPMKwlIooQMmnNF198gcbGRtXTMCStEKwWzyQjDic0tkEgIh2ZMWOGmqTLtx6q3t5dkQnHjh492q4VQ01NDZKTkzvtK+FtdXV1t89ls9nU4lNfX69upUpXFgo9OQ/SJzlSz4chJQFRZ82A7aMNAYHtBlgXTNNlYBvp5yMc8ZzoC8+H/vCc6Esw/n7o768lERH1mcPhUBVaoSLhh1TXuqvroTW3QHO5YTCx4w4Rhd5LL73kX3/55Zf79bllYsfS0tKT7jd8+HBYrdZ221atWoV7771XTWomIfKpksnL7r///k7bKyoqYLfbT/n5qX/e1Mn/MxIQhqrH/EAwThmG2E0HYXC64K6oReOqr9AydThgNkFPBsv5CCc8J/rC86E/PCf6In9DdBXWyh80GZjKJVpmM3NfIqJQkjcYM2fOVDOch/LNhupbW10PaIDW1AJDoqeSjYgoUr3++utYtmzZSffbtWsXxo4d67+/ceNGXHzxxbjiiitUWNuxgrarwb9U3Erv2u7ceeeduPXWW9tV1ubl5SEjI6PLSl0KzZts+XBTzklEh4OZgDs11V9ha65rRtKOYlh1NunYoDkfYYTnRF94PvSH50RfOn4Q3x/69Ffy/fffVxUAmzZtUpfdfv3115g+fTp++MMfYsGCBfje977X7wdKREQnJm805BLfpqamkF7ea4yPhcu77m5shpFhLRHpwLXXXtur/V988cUe73vdddeppTf279+P8847D3PmzMHzzz/f6XEJdcvKylQ4G9i3VnrZBga+HUVFRamlIwmhGETph7oSZRCcE2N6MgyLZ6H1A+lh64C7sg72jzchetEMXQW2g+V8hBOeE33h+dAfnhP9CMbfjl7/hXz11Vfx/e9/H5dddpmqIAisIhgxYoS6xIxhLRHR4GVIiPWvs28tEemFFBkEkh6xciWCVKnKVWLl5eWqF2x6ejpyc3ODeixyZdrSpUuRn5+PN954AxaLpdM+8rgM/t98801/ECzB7cqVK/GLX/wiqMdH1J9MqYmIXjwzILCtReuHG3QX2BIREelFr+PfBx54ADfffLMKba+++up2j02YMAHbt2/vz+MjIqJeXA4jAYD0JQzlJBnGuBj/urRBICLSS1jrW6Svq1yJ8MEHH6jAdufOnep29erVavuDDz4YtONoaWlRFbXy/aT1gYydv/zyS7UEBsoSGEtIu3z5clUMISHtt7/9bSQlJeH6668P2vERBTOwVRORyphFBbbrodkdfMGJiIg66PVHmQcPHsT555/f5WMyuA1GY10iIupZH/G9e/eqNggnukQ22Axx0f51d3NryI6DiKg7t912G375y1/irLPOard90aJFuO+++1RAKoFqMEhrgy1btqj1Cy64oN1jBQUFOHz4sP/+k08+ifj4eNxxxx1oaGjA3LlzVaAsgS1RWAa2Z3srbG2elgj+CltviEtERER9qKzNzs5WvbK6snXrVjXIJCKi0PQtSktLUxPIhLJnbWBYy8paItKjffv2dTtJl2w/cOBA0L53YWGh+nCtqyUwqBXSe/axxx5TAW9zczNWrVoV0g/jiE6VKcVbYRvlrbCt8gS2rLAlIiI6hbBWZquVigO5bMxHQgG5hOvRRx9V/WyJiGjgSW/DiRMnYuTIkSGdIMNgMsEQ7ZkRU2tiZS0R6c/48ePx8MMPo7Gxsd12qV6V7fI4EQUvsI1ZPIuBLRERUX+1QZCgdseOHViyZImq4BJymZj0SPzGN76hLtMiIqLBzRAXA63VDq3FBs3lhsHE2ZWJSD9+//vf49xzz1V9YaUVgm+CsY8++ggulwvvvfdeqA+RKKIZUxJUYNvywTpPSwRVYbse0YtmsiUCERENer0Oa61WK/75z3+qwaxciuWbRffss89WCxERkWqFUOXpYa41t8KQEMsXhYh0Y86cOaoVwhNPPIGvv/5atfgaMmQIbrjhBjWRrrT9IqIBCGzPnoWW1dLD1g53VT0DWyIior5U1vpIFULHSRmIiCh0pBpMQge5jFd+P4e0FUJcTPu+tQxriUhnsrKyVMsDIgodY7IEtjPbB7YfeCtsvX1tiYiIBpsehbVHjhzp1ZPm5+f39XiIiOgUtLa2wm63h/w1NAZMMuZuaoUppEdDRERE+g5svS0RWu1wVwdU2DKwJSKiQcjc01lrezOzuFR3ERHRwJJK2mnTpqGqqiqkVbVdVtYSEenMp59+ij/96U/Yu3ev+qCro61bt4bkuIgGI2NyvLclQsfAdgYMUZ5JS4mIiAaLHoW1b7/9tn9dZs2VScRGjBiBiy++WF1Cdvz4cbz55ps4ePAgHnnkkWAeLxERdUM+VEtMTFShQ28+YAtaz1ovralzCEJEFErvv/8+/uM//kPNt7B+/Xo1WW5LSwvWrl2rJh1bsGABTxDRADMmeQLb1tXr1CSlKrCVlgiLpcKWgS0REQ0ePQprL7zwQv/6smXLsGTJErz44ovt9rnppptwzTXXYPXq1bjiiiv6/0iJiChsGGPbKmvdrKwlIp2599571URiUmRgsVjwwAMPYPr06SgqKsI555yDRYsWhfoQiQZtYBsdGNjWNDCwJSKiQafX18m+/vrruPzyy7t8TLYHVuESEdHA0TQNZWVlqg2CrIeU1QyYPZ1q2QaBiPRm165dqppWWsbIlQhNTU1qe0FBAe677z786le/CvUhEmGwB7aGaE81rS+w1Wyh78lPRESky7DWZDJh06ZNXT62cePGkPdJJCIarNxuN3bv3o1Dhw6p9VCS8MPXt1Zrbg19eExEFCA6Olr9npTfVUOGDMGBAwf8jyUkJKC4uJivF1EIMbAlIqLBrEdtEAL94Ac/wD333KP6en3rW99CZmYmysvLVUXtww8/jBtuuCE4R0pERCeVnJysPlTTA2NcDFx1jYBbU5cyGmKiQn1IRETKlClTsGfPHtXaa/HixXjwwQeRnp6uWiLcfffdmDRpEl8pIr22RFg00191S0REFIl6HdY+9thjMJvNePTRR/HLX/6yXYXCjTfeqAJbIiIaeBLSSgAhH6DpIbBtP8lYC8Cwloh0QvrVylUIYsWKFfjmN7+JCy64QN2XCcbY1otIR4HtktM8gW2LzRvYrkP04rY2CURERBjsYa0EtRLY/vznP8e2bdtQWlqqLh+TCoSUlJTgHCUREYUdQ2xAWNvcGtJjISIKdP755/vXc3JysGHDBuzfv19dOTZ27FhYrQyBiPTCmBjXVmErgW1tIwNbIiKKaL0Oa30kmJ0/f37/Hg0REUUMQ2xb2wOt2RbSYyEi8mltbcXpp5+OX//611i6dKnaJr1rR40axReJKIwC25YP1iGGFbZERBSBeh3W/vnPfz7pPldeeWVfj4eIiPrI5XJh/fr1aGhowIIFC0I+4aMxsLK2hZW1RKQP0rrr6NGjIf8dSUSnFthqEtiuXoeYs6WHLfviExHRIA5rr7766i63S0WCD8NaIqLQaG5uVlVjehA4oZiblbVEpCMXXXQR/v73v+Pss88O9aEQUW8D2yWz0LrKG9jWSWC7noEtEREN7rC2pqamy23vv/8+/vCHP+CVV17pr2MjIqJekCoxmWCsqqpKFxVj7XrWsrKWiHRk7ty5uOuuu/CNb3xD9a/NyspqV3jgC3SJSH+MCd7AdvV61ROfgS0REWGwh7VJSUldbrv++utVNddtt92Gd999t7+Oj4iIekiChuTkZNjt9k6hQygYLGbAbAKcLvasJSJdueaaa9StTJT7zjvvdHpcfodKaxki0nFg62uJ4A9svT1sA67sISIiGlQTjHVlwoQJ+PnPf96fT0lERGFMqmu1+ibPpYqaposQmYjo0KFDfBGIwpwxIbZDYNvUNukYA1siIgpj5v7sk/jcc88hJyenv56SiIh6QcLQyspK1ZomIyNDF6+dvFmSsFaqa+FwAlZLqA+JiAgFBQV8FYgiNbBdvU5tMzKwJSKiwRLWTpo0qVNllFxyW1JSgpaWFvz5z3/uz+MjIqIecrvd2LFjB5qamjBy5EiYTKaQv3bG2Gi4vetSXWtgWEtEISL9vNPS0nr9ddXV1UhNTQ3KMRFREALb+ia1zsCWiIjCVa9noJkxY0an5ayzzsKdd96J7du343vf+x4GyoYNG1QYER8f3+kxCZCXL1+O7OxsxMXFYcmSJdizZ8+AHRsRUSgkJiZ2+TsxVAIvQ5Q3UEREoTJs2DDcfPPN2Lp160n3lQ+9/vrXv2LWrFn44x//OCDHR0SnGNgumeWf3NQX2LpbbHxZiYgo8itrX375Zejlct+f/OQn6lLfxsbGTo/fdNNNeO211/D444+r1gwPPvggFi9erKrOupokjYgo3MmHV9OmTUN5ebkuqmqFIbYtrJU3TPo4KiIajNauXYtf/OIX6vfkiBEjMGfOHEyePFmNJaOiolBbW6t62UoxgOwrEzbefvvtuOGGG0J96ETUA8Z4T2CrKmybWGFLRESDqLJ20aJF2L17d5eP7d27Vz0+EF566SXVm/Haa6/t9Ji0ZHj++efx6KOPqsfPOecc/OMf/1CD8GeffXZAjo+IiKSy1lPhIrRmVrcQUehIKy8ZD+7btw9XXHEFDhw4oCbGveqqq/Dd735XhbKvvvqqCm+lqraoqEh9+G+1WnnaiMIpsD37NBjiWGFLRESDKKz9+OOPUV9f3+Vjsv3TTz9FsEnoescdd+CJJ57ocgC9cuVK1bvx0ksv9W+TXmNLly7FO++8E/TjIyKiLtogtDKsJaLQGz58OO677z6sWbNGzbcgvWyPHj2q1g8fPoy//e1v+Pa3vw2zud/m4SWiAWSMj/EGtjFtLRFWfQ032zEREVGkhrWi4wRjPp9//jkyMzMRbHfffbfqlfuNb3yjy8el8leOIyUlpd32cePGdVsVTEQU7lwuFzZu3IidO3eqdT0wRLd9oKa12EN6LEREXZHx4pAhQ1QrBCKKpMB2Fgzx3sC2odnTw5aBLRERhYEelQw89NBDavEFtTKhmNHYPue12WxwOp348Y9/jGDavHkzXnjhBWzatKnbfWpqalSfsa4G4zKjb3fk3yCLj6+CWKp0ZaHQk/Mg/Yp5PvSB50N/50N+b8nEOHr5vaVFWdrWW1p1cUwDjT8n+sLzoT+D8fcCEQ1cYKt62Da2+ANb2Wb0TkRGREQUtmGtTMDws5/9TIVkv/zlL3H55ZcjNze33T7SjkAqV7/5zW/26gDq6upQWlrao0vWLBYLbrzxRhUIjx07Fv1NAun777+/0/aKigrY7awI08sbOvl/Rv5f7PiBAfF8DHbyc5Gdna0mXZSe3nqZZCzeZITB5YajqQV15eUYbPh7S194PvRH/q4TEQWDMY6BLRERRWhYu2DBArX4Kmuvu+465OTk9MsBvP7661i2bNlJ99u1a5eqqpXbV155RfWtFa2trepW7kdHR6tFKmi7GvhLxa30ru3OnXfeiVtvvdV/XyrU8vLy1EQTXVXqUmjeZMv/g3JOGNaGHs+H/sjPhnzApKefkdaYKFXRYnK4BqRVjt7w50RfeD70hxN4EdGAB7arvkb0ktNYYUtERLrU65kT7r333n49AAl+ZemJ1157TQWuhYWFnR6TgPb222/Hww8/rKpuy8rK1L6BfWulX+2JKnKlV1lX/cok8NBL6EGeDwx4TvSD50N/9HZOZJIxeXMEhxMGTYNBJxW/g/mcDHY8H/rCnwsiGvDAtrHFE9iePQsImAyViIgobMLaCy64AL/5zW8watQotX6yN0D//Oc/EQxXX301Fi5c2G7byy+/jP/5n//Bu+++i/z8fLVt6dKlauD/5ptv+oNgCW5XrlyJX/ziF0E5NiIiPbRBkL7ccmWBVNbqhSE6qt0kY77JPoiIiIgGNLBdcpoKaf2B7ep1sC6ayZNAREThF9Y2NDT4ZxaX1gASyIaCVNR2rKr9+OOPVV/GwBBX+ulKSLt8+XL1mLRsWLFiBZKSknD99deH4MiJiAbm8u5t27apCcakz7deetYaoq3+da3VBjCsJSIdkN7ejz32GNatW4fi4mK8/fbbmDBhAp588kmcfvrpOOOMM0J9iETUz2RiMRXYSoVtQ7MKbO0frodhSucrN4mIiHQd1n700UftwtFwIAPt+Ph43HHHHSpsnjt3LlavXq0CWyKiSCW/96TCVk+kDYKP1srJGoko9DZu3IjFixercaHMyyDjW5vNph47evQonnjiCXXlFhFFaGDra4ngDWxjNxyAOy0NxoS4UB8eERERwr553n333admPu9Ies9KtYT0rm1ubsaqVatO2K+WiCjcSSXtjBkzMH78eN1U1QpDTEBlbYsnDCEiCqVbbrkFs2fPxr59+/DCCy+0+5BLqmq//PLLkB4fEQ1MYGtIiPXcb7XD/sEGuKXHPhERUbhNMCb27Nmj+sGWlJSgtbW10+MvvvhifxwbERFFgHY9a1lZS0Q6IK0P3nrrLVgsFn+rLx/p+V1eXh6yYyOiEFXYNnl62Mo2I1s2ERFROIW1f/nLX3DNNdcgOjoaBQUFsFrbKqZEqPrZEhGRPrXrWcvKWiLSgbi4ODUPQ1eOHDmCtLS0AT8mIgpNYBu1aAaaV30NY7ONgS0REYVnWPvAAw/gkksuUdWzsbGey0aIiCj0pDps69atKoCQoMFoNOqwspZtEIgo9M455xz86le/Un1rk5OT/QUHLS0tat6D888/P9SHSEQDxBAbjebpI5Cw5XBAhe3XiD77NFbYEhFRSPT6nfyxY8ewbNkyBrVERDpUW1urJlXUbWWtzRHSYyEiEo888oj6YGvUqFG47LLLVFB79913q57fVVVVKsglosFDi7IgavFMGBI9E4xpTa1oXfU13I3NoT40IiIahHod1s6fPx/bt28PztEQEVGfSSXtuHHjMHz4cN1U1QqD2SSzn6l1zWYP9eEQESEnJwebN2/Gf/7nf6K0tBQjRoxQIe33vvc9rF+/HpmZmXyViAYZQ0yUZ9IxX2DbLIHtOrgbGNgSEZHO2yCsWLEC3//+91XP2iVLlvgvHQuUmpraX8dHREQ9JJVhvoBBb/3DDVEWaM0uVtYSkW7IGPb+++9XCxGRMHoDWzXpWH2TJ7D1TTqWwBaARESk07B2+vTp6vZHP/pRt2FAx1l1iYhocJNWCPKGBzYHNE3TXZhMRLR27Vrs2rUL8+bNw5gxY/iCEA3iwDbm7FloYWBLREThEtbKxGJ8k01EpD8SgtbV1ametRkZGdBbZa2iaYDdCfjuExGFwBVXXIGoqCi89NJL6v4zzzyDH//4x2pdtv/73/9Wk48R0eBtiaAC2w/WQatjhS0REek8rL366quDcyRERHRK3G636sHY1NSEwsJCmLx9YnUhKmCSMbu9LbwlIgqBzz77DI899pj//kMPPYTrrrsOjz/+uLp6TFojMKwlGtxUYLu4q8B2JowJnr62REREwaCfGWiIiOiUxcTEqKowvQkMZzWbI6THQkRUUVGBIUOGqBdix44dKC4uxk9/+lPEx8fjqquuwrZt2/giEZG/wtaQFN9h0rEmvjpERKSfytphw4Z12wZBZh9PSkrC1KlTceONN/r72xIRUfBJJe1pp52G8vJyfVXVqrA2oLK21R7SYyEiSktLQ1FRkepP+95776ngdsKECf65F+RKBSIiYYiWwHYmWlavh1bXCK3FpgJbNelYIitsiYhIB5W1F154oRrE1tTUqDD23HPPVbdy3+FwYMqUKfj0009xxhlnYPXq1UE4ZCIiCjesrCUiPTnvvPNw++23Y/ny5Xj44Yfxne98x//Y9u3bVXECEVH7wHYWDMneClsJbFevg7ueFbZERKSDylrpg1hQUIB3330XcXFtnyQ2Njbi/PPPx9ixY/Hss8+q9XvvvRdnn312fx8zERGFmcDKWthYWUtEoSX9aqX4QKpqZcwqPWp93n77bVWMQEQUyBBtbethW+utsFU9bFlhS0REIQ5rn3jiCTz11FPtglohPb6kOkEmZbjtttvU7ZVXXtmfx0pERCcgl+1Kn8X6+nqkp6er1jR6wcpaItITadv14osvdjv5GBHRiQLb1g/Wwc3AloiIgqTX7+QrKytVENCVuro61Q5BpKamnvrRERFRj2mahurqavW7WNZ127OWlbVEREQUpiSwjV48C8aUBHWfLRGIiCjklbVnnXUW7rjjDtUOYc6cOe2qEO68804sWrRI3d+zZ4/ah4iIBoZM/jhmzBgV2HY3EWTIRFn8q5rNEdJDISISMsfCn/70J+zduxetra2dXpStW7fyhSKiEwS2M9H6wXq4axq8k4597WmJkOTpa0tERDRglbXSjzYjI0PNnisz6UqPWrldsGABsrKy1OPqiY1GNXEDERENDPm9m52drbsWCIKVtUSkJ++//74qMJArxtavX4+8vDz1u1OKDZqamjBz5sxQHyIR6ZyMbSSw9VfYtto9k47VNYb60IiIaLBV1ubk5GDDhg1455131OC2tLQUQ4YMwaxZs9TMuj7Lli3r72MlIqIwZTAZAbMJcLpYWUtEISeT4N5888145JFHYLFY8MADD2D69OkoKirCOeec479SjIioJ4Gtv8LWG9iywpaIiAY0rPWRmXNlISIifZA+tY2NjWhubtZdz1rfJYNaYwt71hJRyO3atQsPPvigugpB2sZINa0oKCjAfffdp5bvf//7oT5MIgoDDGyJiKi/ndJ1shIISG/EjgsREQ08t9utrnzYuXOnWtcbg9Xbt9bu1GWYTESDR3R0tPo9KUGtXCF24MAB/2MJCQkoLi4O6fERUZi2REhNVPelwraFLRGIiGigwlp5gy2XiuXm5qrBrPSv7bgQEVFoWK1WdUmvLlm8F3NIUOtyhfpoiGgQmzJliupPKxYvXqyqbP/973+rXrZ33303Jk2aFOpDJKJwDGwXzfAHtvAFtrXsYUtEREEOa5944gk8/vjjuPHGG1Vw+/Of/xz33HMPRo8ejcLCQjz33HO9fUoiIuoHJpMJs2fPViGErOuNwdrWeUezO0N6LEQ0uEm/WqmqFStWrFAFCBdccIGaf6GqqgpPPfVUqA+RiMI2sG2rsGVgS0REAxLWvvDCC7j//vtx2223qfvf+ta31CQNO3bswLhx47B///4+HQgREUU2fxsEwbCWiEJI5l2QwoPAyXOl0nbz5s1qLDtjxgyeHyLqE0OUpX1ga/NV2DbwFSUiouCEtYcPH8bUqVNV1ZZcaltbW+t5IqMRP/7xj/Hyyy/39imJiGgwsARW1jpCeihERIGkynbUqFGYPHmyaidDRHTKga30sE0LDGzXM7AlIqIeaXvn3ENpaWlqtnGRn5+PjRs3YtGiRep+ZWWlmnSMiIgGnkyWI1c51NfXIz09XX2Ipts2CA62QSCi0JJK2jfffBMlJSVobW3tFN7K1WRERKdyRZFU2LZ+uAHuqjp/hW3M4lkwpiTwhSUiov4La+fOnYt169apy8euuOIK3HfffTh+/LiqspV+tTJJAxERDTzpIy4fmjU1Nal1vTEETnzGyloiCqG//OUvuOaaaxAdHY2CgoJO1bS+frZERKce2M4ICGwdaPmAgS0REfVzWCvh7NGjR9X6XXfdpdogvPrqq2hpacGSJUvw+9//vrdPSURE/UDChZEjR6KmpkafQQMra4lIJx544AFccsklePHFFxEbGxvqwyGiQRjYSpsEU4q3TQIREVGAXl8jO2bMGH/bg6ioKDz55JMqvK2ursb//M//IDMzs7dPSURE/UDaHshEOfJ7WG8tEDpOMKZxgjEiCqFjx45h2bJlDGqJaEADW2N6kmeDzYHWD9bDVVPPM0BERJ3o7908ERFFJEPABGNsg0BEoTR//nxs376dJ4GIBryHbbvAdvV6uKoZ2BIRUR/aIFx77bXoKU7IQEQUGtKnViZ5lIlydNmzNrCylhOMEdEAk6vAfFasWIHvf//7qmettPFKTk7utH9qauoAHyERDYYPrv2TjlXWqg+vpcJWtURIZUsEIiLqRVj78ssvIyEhASNGjDhpAKDLPolERIOA2+1WE0DKBGPSDsFkMkG3PWs5wRgRDbD09PR241QZ0/7oRz/qduzqcrkG8OiIaHAFtjM6BLbSw3YWA1siIup5WDt79mx8+eWXatB6xRVX4Lvf/a6aOZeIiPTFbDbrL6Ttog0Ce9YS0UCTycRYVEBE+gxsnQxsiYiod2Ht2rVrceTIEbz22mt45ZVXcNddd6kAV4Lbyy67TFUqEBFRaElIO3fuXJSXl+szsA3sWetwhPJIiGgQuvrqq6EXv/71r9WY+tChQ3A4HBg+fDiuv/563HjjjZ2qfx955BE8/fTTqKiowNSpU/HEE0/gjDPOCOnxE1E/BrYfbYC7goEtERH1YYKx/Px83Hbbbdi8eTO2bduGs846C7/97W8xdOhQnHfeeXj33Xd7+lRERDQIqQDC2wqBlbVEFAo7d+7ETTfdhG9+85u44YYbsHr16pAcR21tLb7zne/gr3/9K/75z3/iG9/4hjquhx56qN1+EtTee++9uOWWW/Dvf/8bQ4YMwdKlS3Hw4MGQHDcRBSGwPWsGjBnevtneCltXVR1faiKiQazHYW2g8ePH44EHHsDWrVtx8803Y9WqVXjuuecwUFUR8oa/4/Lee++1289ut2P58uXIzs5GXFycmjxiz549A3KMRETUNYPFM8kYJxgjooH22WefYdq0aXjqqadUf+8XXngB55xzDp555pkBP5YHH3wQd9xxhwppzz77bBXSXn755WqeCB+ZLFK2/+xnP1Nh7eLFi9VVbjLx2WOPPTbgx0xEwQ5sU9oC2w/XM7AlIhrEeh3WSt9aqaK96qqrVBAq/b/+3//7f7jzzjsxUORSsS+++KLdIm0ZAkl1ggTIMtvvW2+9BZvNpga5dXX8lJKIIneCsd27d6vLamVdjwy+ScbsjpNOWElE1J+kQnXcuHE4fPgwjh8/jqqqKnzrW9/C3XffrYsXOi0tTRUb+Hz++eeor69XLcd8rFYrLrroIrzzzjshOkoiCl5gOx3GTAa2RETUw5614tNPP8Wrr76K119/XQWfF154If72t7+pigSZ0GYgxcTEnLBXV0lJCZ5//nnV3+vaa69V22bNmqVaOTz77LOqnQMRUaSR8LOsrAxNTU36DUJ9Ya1bA1xuwKzD3rpEFJGkjZdU0ebl5an7iYmJ+M1vfqOKAIqLi/3bB5LT6URLS4saZ//5z39WgbKPfPgmxo4d2+5rJHCWuSTk62RMTEQRFNgunI7WjzfCXV7jbYmwXvW1NaV72yQQEdGg0KOUVQavlZWVqjftH//4R9XnKzo6Gnq1cuVKVVV26aWX+rfJJWPS40sqERjWElEkkpYwEjrU1NTodsZzXxsEXysEA8NaIhogMpbNzc1tt80X0MpjAx3W7t+/H6NGjfLflwpfaXfgI7/Lo6KiOo25U1JS1Ady8nhXYa0UVcjiI9W5QsbGer3qYrCR8yDnkOdDH3R1PkxGWBdMg/2TTZ7A1iEtETYgSqpu05IwWOjqnBDPhw7xZ0RfgvG7qkdh7dGjR2GxWFRv2pNNxCABQbBbDcjgNikpSVUUTJo0Cb/4xS/UZWyBlQiZmZlqMNuxEkH6kxERRSKj0ajCBnlzL+u6boMg7A4gJiqUh0NEg0ywPsiSsW9paelJ95MP1KSVgZDf19I7t7GxEWvWrMHDDz+sfnfff//9p3Qs0ue2q+eoqKho12aBQvumTv6fkTBKr3+vBxNdno/xOYix22GubfIEth+sR/O04XAnxWEw0OU5GcR4PvSH50RfgpGB9iisDbwkK9RkYghpaTBhwgQ1k65U+n77299W7RkuueQStY9UGiQnd75URMLb6urqbp+blQj6x0+Q9IXnQ3/0fk40U1vbA7eEtTo9zsF0TgYbng/9GcifjbPOOqvLN/7z5s1rt723xQcyDl22bNlJ99u1a5e/rYF8sDZz5ky1vnDhQtWWQSYT+9GPfqTmhZBxq4xNZaKxwOpa39UTHYsSfGQeiVtvvbVdZa0EwxkZGV2Ojyk0/8/LOZRzwiAq9PR6PrSMTH+FrcHlRtyWw4haOA3GQdASQa/nZLDi+dAfnhN98X0QH1FhbW8rEX7605+2237BBRdgzpw5uOeee/xhbV+xEkH/+AmSvvB86IsEgvLGXt6Yy7kxBQSjemG12+Crpa2pqITL1XapbqTiz4m+8Hzoz0BN/hrM8ex1112nllMxY8YMNZGvTIAmYa0v1N2zZw+mTJnS7goymYehu361EgLL0pEEHgw99EOCKJ4T/dDl+bAaEX3WDE8P27JqVWFr+2gjohfPHBQ9bHV5TgYxng/94TnRj2D8nhrYmcH6qRKh44ty8cUXqz60vokWpNKgq4G/VCJI79rusBJB//gJkr7wfOiLvMmXS2llgrExY8ao9jV646hoghPlaj05PgGmzExEOv6c6AvPx+CoRtD7lWJd+eyzz9Qbr2HDhqn7Uowg1bYyVvaFtQ6HA2+99RbOP//8EB8tEQ0E6e3vn3RMAlunyzvp2EyYMiI/sCUiGqxCHtb2RyVCRxLqyozoEs4GXiImlQhdBb4+rEQID/wESV94PvTD19crcNEbY0DPWrmkT4/HGAz8OdEXng99GSy/B3ykoEDC1u9///sYOXKkCmA//vhjPPnkk7j++uuRlZWl9pPWB1JIcN9996lLgWWehqeffhpVVVX4r//6r1D/M4hooAPbTzbCfdwb2H4oge0MmDK6bodCREThLeRhbX9UyEjFgfSw9V0OtnTpUjXwf/PNN/1BsAS3K1euVJORERFFIml7MH/+fJSXl+uyBYJibvuzozlcIT0UIqJQkBB29OjRePzxx9UkvjJ+ldD2mWeewZVXXtlu39tvv119EPfYY4+pCcKmTp2K999/X7UHI6JBFtgukMB2E9zHq7yB7QYGtkREESqswtqioiJcddVVuPzyy9WgVgJYmWBs/fr1Kpj1yc3NVSHt8uXLVWCRk5ODFStWICkpSVUsEBFRaBgsASGy08nTQESDjlzJ9dJLL/W4Clyqa2UhosHNE9hO6xzYnjUDpkxW2BIRRZKwCmsTEhJU4PqrX/1KVY5JjzOZRffdd9/FOeec025fuZQsPj4ed9xxBxoaGjB37lysXr1afT0REYWIuS2s1ZysrCUiIiLqbWBr+3QTXKXewPYjBrZERJEmrMJamRzsn//8Z4+rFuSSMVmIiAYDaQuzb98+1NbWIj09XZd9IA3t2iCwspaIiIiod2MpE6LmM7AlIopk+nsnT0REfSJ9DY8dO6b6Gsq6LrVrg8DKWiIiIqI+BbYLpsE0JM0/ppIKW1dZNV9MIqIIwLCWiChCSG/DgoICDB06VK3rEStriYiIiPphTGXyBbbpbYHtxxsZ2BIRRQCGtUREEULaHhQWFqqwVo8tEDpPMMbKWiIiIqJTC2ynwjQ0ILD9iIEtEVG40+e7eSIiikyBPWud7FlLREREdMqB7fyAwNbFwJaIKNwxrCUiihDSp9bpdKpFtz1rTUbA16HBwcpaIiIiov4JbKcxsCUiihAMa4mIIoTb7cbatWuxefNmta5HqpeuydMKQXPp8xiJiIiIwo3BZPQGthkBFbYb4DpeFepDIyKiXmJYS0REA8vs7Vvr6rqy1t3UAtvn29Cy8ms49hzRb5UwERERke4C26kw5fgCW7dn0jEGtkREYYVhLRFRhJBJxebNm4fp06frdoIx36V63U0wpjmcaF35NZyHjsFdUQP7+l1wbNo78AdJREREFK6B7TwGtkRE4Uy/7+aJiKjXLQYkpJVFtRvQK7PnT4/WRVjr2HEIWnNr+227DsNVXjNgh0dEREQUEYFtLitsiYjCEcNaIiIKTWWty92uxYHm1uA8eNS7kwHm0Xn+x+ybWV1LRERE1PPxlhFRZ0pgm9m+JUIpe9gSEekdw1oiogghk4odOHAAxcXFup1grF3PWglq3W1hrbQ90Fpsal16rVlnjIMhMc77WC1c1fWhOV4iIiKisA1sp7QPbD+RwLYy1IdGREQnwLCWiChCSJVqSUkJysrKdD0pl7+ytsMkY66yav+6KS8TBqMBljH5/m3OfcUDd5BEREREkRTY5gVW2G6Ck4EtEZFuMawlIooQ0qc2NzcXWVlZYdGztmPf2sC+tKbMVM+uw4b6K3Gdh0qhOZ0DeqhEREREERfYut2wSWB7jBW2RER6xLCWiChCyMRiI0aMQF5enlrXrS4qa6US2O1tc2CIiYIxPsazbjHDXJDt35d91oiIiIh6z2DsIrD9RALbCr6cREQ6o+N380REFIkMvp61wunprat61To8VbPGlIR2+5vysvzrruLygTpMIiIioggNbLMCAtvNDGyJiHSGYS0RUYRQ1alut1r03LPWP8GYHLO3stZd2+DfZkyKb7e7KTutrRXC0XJoep48jYiIiEj3ge1kmPIDA9tNcB5lhS0RkV4wrCUiihAS0q5ZswYbN25U62ExwZi3Z61W19T2eIewVvqsmXIyPHfsTrgDetsSERERUR8C27mBga0G26cMbImI9IJhLRERhXyCMXdji3+bMSG285f4wlpphXC8KuiHSERERBTJGNgSEekXw1oiogghk4rNnTsXU6dO1fUEY+0qa13enrXNbWGtwTu5WKdWCL4vYVhLRERE1H8Vtr7JXH0VtiWcI4CIKJT0+26eiIh6xWAwwGw2q0XWw6Jnra8NQlOrZ4PBAEN0VKcvMcREwZDsaY/grqqHZrMP1NESERERRXZgO2dS+8B2zWYGtkREIcSwloiIBpbJ2Kmy1t3kqaw1xEbDYOw6aG5XXVtWHeyjJCIiIhoUGNgSEekLw1oiogghk4odPnwYx44d0/cEY4EtGtxuaA6nmjhMPRYX3e3XtQ9rOckYERERUb9X2BYO8Y7RWGFLRBQqDGuJiCKEpmkoKipSYa2sh0NlreZyQ2u1tWt30O2XZST7190VDGuJiIiI+j2wnT2xc2BbzB62REQDiWEtEVGEkD61Q4cORUZGhr571rarrHVBa3X47xqird1+mcFqgdHXt7a2wVORS0RERET9HNh2UWFbXMZXmYhogDCsJSKKEEajEaNGjUJBQYFa1ytDu561WrvJwgxR3Ye1wpiR4lnRAHdlbdCOkYiIiGiwkvkD2gW2mgS2WxjYEhENEP2+myciosgUECRr0rO21d6jytqOrRBcFQxriYiIiIIZ2JqHDW0f2B5hhS0RUbAxrCUiooHVrrLW3bfKWhXWsm8tERERUbBIYGs9Y2L7wPYzCWyP80UnIgoihrVERBHC5XLh008/xYYNG9S6nnuh+fWystYQF+2fhMxdWacqc4mIiIgoyIHt8MDAdisDWyKiIGJYS0QUQTRNU0s4VdbCFjDBWJTlhF8qE6cZM73VtU4X3DUNQTtMIiIiIvIGtqczsCUiGigMa4mIIoRMKnbGGWdg8uTJup5grF3P2l62QejYt5aTjBERERENZGCb077CtogtEYiI+puO380TEVFvSNVpVFQUrFarWg+Lylppg+Bwtt23mk/65cb0gEnGKuv6/fCIiIiIqLuWCBNgHhEQ2K5lYEtE1N8Y1hIR0YAydGyD4AtrTcb2/Wy7YUxJ8Ae+rKwlIiIiGjhSEGA9vYvA9nApTwMRUT9hWEtEFCHcbjeKi4tx/PhxtR4WbRBUZa13MjTLyatqhQS6xtREz9c3tkBrsQXnOImIiIioZ4Ht59sY2BIR9ROGtUREEUImFjt48CBKSkr0PclYh8paXxsEQw/DWvUU7Voh1Pbv8RERERFRzwLbkbkBgS0rbImIBm1Y29rainvuuQfDhg1T/Rnz8/OxfPnydvtIUPHwww+rx2JiYjB79mx8+eWXITtmIqKBGDRnZWUhLS1N1z1r1bH5jk8qgH1hrdnU4+cwtptkjH1riYiIiEIS2J42PiCwhSewPXSMJ4OI6BT0vIxJJ+TS3gsvvFBVj917770qsC0qKsKePXva7ffII4+oxyWwlZnRn3rqKSxduhSbN2/G8OHDQ3b8RETBYjQaMXbsWJSXl6t1XZPqWqcLmt2hKjGUXlTWGsOkslY+ONRs9rZ/IxEREVEEBrbCub/EE9h+sU3dNw8bGuKjIyIKT2EX1r700kv46quvsGvXLgwZMqTbytuHHnoIP/vZz3DLLbeobfPmzcPo0aPx2GOP4emnnx7goyYioi7DWpvDv6k3bRCMMVEwxEVDa2qFu6pO9b7tyeRkA8lx8Cgcm/epnrpxVjOc05ywjswL9WERERERBSewNRjg3FfMwJaIaLCFtc899xwuvfTSboNa8fnnn6O+vh6XXXaZf5vVasVFF12Et956a4COlIiIuiPBqqo19bZAUHoR1vqqa11Nx1XfW3dtI0zeScf0wLGnCPb1u/33jXYnHF/thMHphmVsQb99H3dzKxzbDqjqYmNcDCzjh8GUmdJvz09ERETU48B21ji1zsCWiOjU6KsM6SQcDgc2btyIgoICXHnllYiLi0NCQoIKZWX2c5/duz1vkOVy4EDjxo3DkSNH0NLSMuDHTkQUbC6XC2vXrsWmTZvUuq4FTjLWh8pa9RQBrRDcFfppheCuaYB9Q1trHkNinH/dvnGPerxfvk9DM1rf/UJdcqjVNsJ1tAKtq9fBWdT295CIiIhooANb86i8gB622+A4yB62REQRW1lbVVWlAlvpRzt//ny8/fbbqKiowG233aaqZqWiVtTU1KiJx6Kjo9t9fUpKiuofKI/LpGMd2Ww2tfhIda6vT64sFHpyHuQc8nzoA8+H/s6H/I50Op36/73VVcsCs6lXx2xIa6ukdVXUwDTKO7lFiNk27Pb3qDWPLYBpykjUf7EVUUcqPDMlb9yDqLOmn9L3kLYPtjWbobXaOzygefrEJcXBGBAS///2zgNcjrJs/8+WU3LSeyeV9AqEKiS0KIgCKpZP/KMIgiKoSBUEsQAWRBQVlGL7+FAsoNJDglICpAMhhYR0kpz0es7Z+r/ud3dm35md7bNnZ/fcP64le3Zn552dd8uz99xzPyQFP7e8h6c/qwghhJTmsMXBapVhG5e6kYO5NwkhpBrE2n379snWrVtzLoemYEYxDzct4gwgyAJ0Pz/zzDNl7ty5ctpppxW9Lci5ve2229JuhyAcCtl+EJOKgNcAXjMQbD3fQKkDwPnwFnhfDB8+XB1o2rlzpwQCAfEqTbGo2LfuUFurhJqb819JLCZd/D7xxeISbt4tewt5bJnw7z8snbfvTmxep3rZM7CbxJqbZV+vRhnSXCf+1rDEtu2SnWvWS6xbU9Hj1G3eKY1Jh260qUFajholDWu3St3WPSoW4tBrb0nLNDbTdIKfW94D3+uEEEJqULBFhu3qjeq20Py31b8UbAkhpArE2scee0wuvfTSnMuhodgRRxyhPvhPPPFEU6gFs2bNUqLE8uXLlVgLBy0csmg0prtr4ajF43G/EzfeeKNcffXV5t8QPIYOHSp9+/aVHj1Sp9uSyv7IxhxiTijWVh7OhzfnBAeYvP4eaW1YJ/GDrZbbOnfvJj369StoPW29NkkMea0tIenbrYf4GuulkoQ2vCNGAEXDpFHSecAA831SP7FJIsl4hG67D0v96OHFu2rnr0pk/kL4PmmKdOnTQ+IDB0jbk69K/HCrBHcdkD7BRvG7kOMbj8Ulum6LxLbtFmmok+DooeLv0UWqFX5ueQ/0FSCEEFJbqNrnmHEiPpHIKk2wjYvUjaLDlhBCPC3WXnLJJeqSL3CNZQLirJ5Vu2rVKpk6daolyxaCr1MEAoAArIvABhA8vCx6dMQvfs6Jd+B8eI9qmBOzwZiGPxgoeJsDfXsosRbEd++XwJDCxF43iUciEt2wPfFHMCB1Iwap52nMSXDEIIksWyMSiUp0wzbxzZggPofs3lxEtu1SgiwIDOojwX69EnfU+6Vu0kgJvfGO+jO6ZrMEj59U2nOKxiT03yUS3brLvC26dos0nDRFgkcMkGqlGt4jHQnOAyGE1LBge3Tit7kp2L6WdNhSsCWEkIxU3a+Uc845RzXQMYRZgPgDNNM5+uij1d9w3nbr1k25dg2Q44johLPPPrsi200IIe3hGNyyZYs0Nzd7PwPS70u/rYjYBr+HmoxFNzWLhCPqenDYgLSGafg7OLR/4g8Its2JuIRCiWhNOoKjrTm9EIQhFKvlNm1XYmspoCGaLtQqYnHVLCS2151GaYQQQgipfcE2OPYI8zYItuG1myu6XYQQ4mWqTqy99tprlVB77rnnylNPPSW///3v5aKLLpIPfOADcuqpp6plEH2ASIOf/OQncs899ygx9zOf+YxqUHbNNddU+ikQQkjZMmvXrFkjGzduVNc9jS/966cYl6m/T3fzenRXZcXayPs7zevB4QMdlwkM7mtej27eUfAY8XBEopuT2bwNdRIYlFof8AUDKUE4FJHo+4WPYRDbc8DMmZOAXxpOmSYB43lFY9K2YIX3X2eEEEII8Y5gO26YeVvoteUSXkPBlhBCPBmDUCjIkJ03b558/etfl49//OPS1NQk5513ntx1113qS8Dg+uuvVz8iIdgiv3HatGny7LPPqkZlhBBSi+AzsE+fPir/Uf889CKO21eMWNvUKL6mRhULENu5X+W5GtED7Qm+b6Jbk2It4hz6OmejI7ZAuYqRA7ulWeLHjCtortQYSbescu867LPA8AESWZdw30bWb0uJtwUSXrHevF43ZbRaD7a/Zdc+iR84LLHmPeoS6J+MYSCEEEIIySbYHjU2UZ+s3KD+Db2+PFFn2M4UIoSQjk7VibUAwuuLL76Y88sA7lpcCCGko+Q+Tpw4UcUgeD4D0ikGocht9vftoTJgJRqV2N6DEnChqVahxHbvF2kLq+uBAb0zuoQRheDv10tiyJ091Crx/YfE1z3/Zl1RNPlKYnfVmrcP6C1SH0w4azFOPF6weB873CqR9VsTf9QHpW7M0MT2BwJSP2W0tL3ypvo7vHKDK2JtPBSW0NJ3JbppuxLtg6OGSN3EERUR3gkhhBDS3oJtXOpGJ2oNQgghVRiDQAghpAZwEGuLiUEAAS0KwWg21t5EtQgE5Z7NghJTjccVmLML8VXh80mgn7N7FwJnwGg6FgqrOINCiby3BXZhdb3uyCPEF0wd2w0c0V98nRLNOBGzEE+K1MWCaIfWOQsk8u4mibeGlIgdfnONtL38JmMWCCGEkBoVbIPjU43DQ6+/I+F3N1V0uwghxEtQrCWEENL+uBSDYG8yFm3eI5UgtiM1bmBgSox1U1yOHWpR8QNGVq+9gZllDM3tGtteeCMzMxfXoYmZEoOHDUiuPK4amZVCaNHKlKAMET/50oDL1nDdEEIIIaTGBNvpY6ROF2zfoGBLCCEGFGsJIaRGiEajMn/+fFm2bJm6Xn1ibaCoVfkRexBMPNY47b/d82p37VPXfY314uvcKevy/t7dzOdvPC4foproqrtznQgM6OX4uHwjEGK79ie2tWdX8XdJfz56AzUzLqEIEFsRWbsludKAdPrwSdIw8yjz/tCba5TblhBCCCG1J9jWOQm2q+mwJYQQirWEEFJDhEIhCYdLOy29PXDKIi02BkE5PQ3xsi2cyI9tR5TbNRRR1/29u+fMh0WkgL9HIqc2vvegigHIh9jOlLCbKQLBHAM5uA31ptu4EAE7umVHapwh/TIK5L6kiIsmY/k+BzvhlakmZsjC9XfrLMHBfVNu3khUwqvcc9diP8DF699/WDWjI4QQQogHBNsJmmC74B0VjUQIIR0ZirWEEFIjoKnY0UcfLRMmTPB+gzEnQbOEbdajB6Jbk7mu7URMc8dCrC00ukF/fNZxtOxZ5SbO8eMn0De5LeGIxA+2SFH5u4P7Zl6/IZDDWVxg9i6ItbRJZN37iT/qgpa4hbpJI83XSGTNZonHSndLx/YdlNanXpW2Z16Tzgvelban5ku0nYV9QgghhDgIttMg2I4wbwsvXCl1m1P1CCGEdDQ8/mueEEJIIcVuly5dpKmpKae704sNxorNrFUPHdjHUWzMJhSG3lknbQtXSHjtFomXEBuhRxkgSzYf9OXyEQwhVsb2JsRaOFp99XW5x+iZEnRje/bnH+lg5OjWB7OKwiXn4m7cpjJvQd2RQywZvP7OnUyhGDEIsebC12+f79YXFqrYBd0RjcZmsWQOMCGEEEIqKdgeKXUTU4Jt46otEmEkAiGkg0KxlhBCSPvjICYXG4MA/F2bxNets9nsC824MoEstJZ/viThJaslsmqjhF57W1qefk1ltRaD7owN5HC8mtuLmIIk8X2Hci4fP3hYRQKox/bsmt8Y2nKx3SlXbvZxWkSSGbGBPj2yiv66WFtoLi6I6E3Mhg8qWy4uCC1YIfGWNnXd17VJol0aE3eEI9I2/+12zzkmhBBCiINgOxWC7UjztvCilRJetZG7ihDS4aBYSwghNUIsFpNt27bJzp071fWO5KzNV9wLv7NOZaEZwqdBfN9BaXtxscSjscIzUJNuTTQW8yVzYnPh754QlkFsf8rtmQk9h1d3zObvrM1PrI0Zrto8XMK+Tg3iSz6P2O59BeXWxkNhiW3fk3IKJzN8dZSzNtk4LrJpe9EZs3AKRzdtT/zRUC8NZ8yQw0ePTmXu7tgj0c2pnF5CCCGEVFKwHS1BzWEbwllQLubXE0JINUCxlhBCagQIh6tWrZL169d73ynocmYtCI7QxNr33k/bByj0Q0tWp5YfPUQaZh2VEu32HJDwinUFjancmobjVRNgc4EmY76mhLsztu9Qzvmy5NXm6az1dW5UUQaFxCBYIx1SubqZCPRLumvjVkE55ziIqkg+ZzQxc3Lw+oKBVGZuKFJ047jwCq2J2dTR4musVyIwGpqYy7xT2LxnI/L+Tmn9z2Jpef4NFbVR6AEAQgghpCODmiA4eZS0DU81OQ0tXCnhlRRsCSEdB4q1hBBSI6C47dWrl3Tv3t3zmbU+u7PW5xNfiWKtv0uT+Pv2VNfj+w9JdGsquza8ZrMq9A3g2mg4bqIEB/eVhlOmmeJx+J31yvWZL3Dkmk9BizbIa3uN5dEALHmKfiaMvNqCxFqfz1wW64+3Zh/D7qwN5NEszRK1kKd7F0S3pZrAYQ4yYTYxU48pPGoBebfRTcm4hcZ6CY4cbN7nH9zXnDM879j+3HEU+QjDbfMWKadurHmPitponbtQ4jYnNyGEEEKy1zChkQOsDltEIlCwJYR0ECjWEkJIjeD3+2Xy5Mly5JFHquuexud3NQLBoG7cEeb10KJV6tR8CGih15enlpk0UuonjUoN3bObBEcmM1PDEYmsyz8fVRf4/MnM3HwxIgQMcTnrOEYTrEDAdOTmg7+HJqbmyMZVTcz2JCMdunXOs4lZkWKtIQpDUM7i4A3071laLu6WZtPBWzdikCUXWZ1qOSol3kY2lJaLi+0LLV6VdjtEW6fbCSGEEJKFpMO2bvIom2CbOmOGEEJqFY//mieEEFKT2J21Lom1gaH9xd+7mymAHn5srkUoC44fLnVTRqc9rm7sMPN6ZO3mvMfTBdBCxVpLbq3m0HUSUePJhmm+rp0Kck2j8Vqa4JtpnEOHEXyctm05xeDk5uQbtQDnstFUDWIv4g4y4evSlIqL2LG34EgB01WL18YR/dPuDwwbYF6PrN9WdHwI5qhtwQrzbzRHaZx9nBLX1brf3WSJmCCEEEJIblDz1E8ZbRNsV1kijgghpBahWEsIIaT9sQmOvqSoVfpqfdJwwmQzq9VwVQIU+vXTxziKnRAN/b26mQ7RXMKmo7O2gMxatXy3Lnm5XuOHW0Vi8TTxNR982vLxHM/JKjznF+kAoRUu3MTjD+YlpsYKyMVVUQ79ku7aaFQ1MsuXeCRixi2gGZrfIdbB39Rorh/ivh5rUQjRzdvNx2IcxGwE+vaQ+mmpAwPht9eKWyDSIvT2e0ogjmwoXmQmhBBCqoE0wXYxBVtCSG1DsZYQQmqEaDQqb7zxhrz11lvqelU5a+1/l7Lq7l2k0+zjJDCkb0Kk69tDGmZOV4V+Nldq4IiUyzK6OeXIzIYp7jXWi6+hvrDt1Jy48YOZhVT9PuTyFjSG7qzNMkYpwrO/Z0LkhqAc259b7IzuTAmugT65c3EDyRxiNUQhTcyQcZsUj9GoLNPcB4f0KylqAUTWbjGv100ZZY4VPPII9RpU60aO7cGEQ7oU4NA9/O9XJLzsXYms3ihtLy+TtheXSNzr73lCCCGkBCjYEkI6EhRrCSGkhmhpaZG2ttyNpCpNmnDmcsYuBNvGmUdJ08dmKeFWF+QyERySanSlNyfLejp/a6ioCARFQ51IMgIgm4inu3wRC1AIvs6dTBdzLmetEU1QaLM0a27twYKamOVy1qplehWXi4usWIPAoMxNzPz9e5Uk1sZa2szXCyIbAgP7mPchIzc4Zqj5N1ywpYDXW9uLi0XarE3wou/vUKeFEkIIITUv2E6xOWzfWVfRbSKEkHJAsZYQQmoENBWbNm2ajB071vsNxuzbV0AOa7lQTbUMF2Tznpyn9McPtRbteFXj+XwJMTW5rkynsusia8ExCH6/+DonM18PHM56urzuivV3a3LdIWyOszc5Tl1QfF065V5/jy6lNTFT7tzu2cXmZGxGdPuegiMFouveF0k+BI3q7AcigsMGppYtsYlZaOnq1AGCvj2l/oRJZt6zysXdkRKoCSGEkFqkfjIE21TMUGjJaglRsCWE1Bge/zVPCCEkXyASde/eXbp27VpQEypPZNZ6YHNVPqrhsozGcjbMiiWbfqnHJgXRQvEnxVo09jJEuLRxNAEUDcYKHsMQeCPRNEemAQRKI7MWz8UXDJaniVk4ksjgTUYt5PM6xbaYubh7D0o82QQt6ziYv12J+YMg7GtsyLx+n08C/ZLzDre0ISbnSWTLDvN6cMQgx/1jNL1Techa3EQh4HUQee/9xB91QWk4earUjRws9dPHmsuElq0pat2O4x1uVY6l1v8skdBba5STnBBCCPEC9ZNHqXx4gzAE2+V02BJCageKtYQQQirw7WMT6byg1ioHZg/H0/WdMETHUsRa3VmayZVqOmv9PnWafeFj5BZTlVAcjhTUXMxcvyE459PETM/F7VZE1AJE7TzEztjeA2rZfKMWAnoUQvPugpqYGa8TzGWmOAyLu1YTdwvOxU26fuvGDxN/0gUePHKI2Ugutn13Qe7jTET37JeWJ19V3baR3xx+c620PD3fcoCCEEIIqST1kyDYHmn+HV4Kwfa9im4TIYS4BcVaQgipEeCObG5ult27d3u/O7zPm2KtLuzpjbByxiA0Fe54tYu88cPOWcOx5DgQRRFrUCj5OF/jWmauIfzliy8YMEXkXE3MdKHVV1ATs8Jya2M7tAiEfHJxtUZnBUUtNO9VjdXUOAN6Z1wuMLB3UWKwAd7PpqvWJxIcNcS8D6+JurFHmH9H1ieXKxK4n9v+s1S5jC23H2yRtpeW5eVsJoWxaNEiCQQC0qVL+gGMUCgk1157rQwYMEA6d+4sZ555pqxaxXxiQggB9ZNG2gTbdynYEkJqAoq1hBBSI8RiMVmxYoW899576rqn8aizVuWjJgXRXKKdKzEISXek3alr3obogqTj1cjTLcm9e7glt0u4KPducoy2cNbT5Y2ohUKbsvl7dLW6ZnMQ273fUYh1Oxc3tm2XeT2bWKsatqGhnJGHnBR48x5n+25zjtDAzG+bI+XcTb6HIhu2l3SwJvz2exJPvrb9vbtL45nHmvMb27VPIms2i5tgW+MZ4jk6Anj+X/3qV6VvX+cmeFdddZX89re/ldtvv13+/ve/qwaSp59+uuzbl/1gEiGEdCjBdppNsH2bDltCSHVDsZYQQmqIHj16qMxar5OWVeoRsRYuRUO4gwsUp7nn46wtRuC0Pw4ZoWljtKTctkWLtU253bu6WOsvQni2uHc1l27WJmYQMPNdvybsxg7kPhU/ti85js8qxLqZiwui23c7Rik45+L2TPwRiuQlOOtENjeb14MjB6evv7FeAgMS40NohahaDBBNw6s2JP7w+6XhA1PUdjecONkq5uZovpcvkU3bpeWJl6T1ny9JR+Xhhx+WnTt3ysUXX5x23+bNm+WBBx6QH/3oR+r+D37wg/L444/L3r175f7776/I9hJCiBepn2gTbJdBsF1b0W0ihJBSoFhLCCE1Ak6jnTp1qowdO1Zd9zT20/m9odWmn3KfpdmUKXA21qsogGLwNTU4CrPlE2vTBeE0l3AxzlpNrM2WW2s6a/1+S9ZtzvVDQE4K+pmyfS3N0pJxCyo6Is/3guneVbm42ccwm5glRVcIvRBMs6GLubECoxCihoMXoq8WqWBZ/7ABqeU3pcTdQohs2Kqa64Hg6MHiT+YdB/r2lMCQfuZrMrpxW1Hrt461Tdr+u9R08XZEILrecMMNcvfdd0t9ffrr57nnnlNnSVxwwQXmbb169ZLZs2fLU0891c5bSwgh1SDYjjH/Di9bI6G3KNgSQqoTirWEEELaH486a9NOiddO29eB8zLekhA+7aekF4KvU3YhNd6qibU5xMCMYzTUp4TODGJtqTEIhqiXNRc3FjeFVl+3JvHZozByOJ6NqAmsP9tp/uq5ID6iUPeuJRc3FaOQ1b2bjDPw9+qWe/2GszaPPGTLOIdbJZ58Hfp7dxNffSJOwU5wUN+ScnHNJmbG+kancnFB3bhhqeU2lCbW4jm1vb7cGhPRAbn55pvl6KOPlnPOOcfx/pUrV0q/fv2kZ8/UaweMHz9e3UcIIcRK/cQRUjddE2zfpGBLCKlOgpXeAEIIIR0Qj2bWAuN0eHtDLB0VJxAvLa9WPRaO3PqgOjW+bM5av089FiKmU9RCuljbUJqzNoPzVQnPhrip5egWErUQRcQChNi2kEhjQ+5c3FKamI3IvryebRvQHptx/RAk8bqPxQtrYrZtd365uJ0a1GsXr9nYrv0qwgPxDvkCl7CR9QvxOdCzW5rYrF5HcNZu3akiE3zJHN5CCcPplMxiDgwfKA0ThkpHY+nSpfLggw/KkiVLMi6zZ88eFW1jB+ItGklmArm2uBjs35+YV7h0PZ9n3kHAPKizADgfnoDzUVtzEhw3LNGYc+m7pmAbj8ekbtKoMmypSHRzs4SXrJbA0P4SnDo6PeqrBuB7xHtwTrxFOb7PKdYSQkiNEI1GZfHixXLgwAHp3bu3+O1RA17Cy87abpqzNqNYq4mbBZzO74SvsUHiSqwNZRVr9WZkBY/R1JjYZjQAi0bTogGM/F0l+BXxuvEXmItbXBMzCMK7zNzaQAaxNq7l4vq0uSxIrDUyb7Ogu2/zcdaqPOTuXZRQGz+APORoXvEZse35NTFT9/frKRG8ZvEDd8de1YwsXyJbdpjXgyMGpW8/IhiGDZDIyg1KcEaObt2o9PzcXMTbQhJ5L+ngrQtKwzHjpLUld+yE10HDr61bt+ZcbuTIkVJXVydXXHGFfOUrX5Fx48a5vi133HGH3HbbbWm379ixQ0Kh9M8ZUpkfdXjNQFDy9Hd1B4HzUYNz0rtJ6kYPlMY1ic/lyFvvyaGDhyQ0MhUZ5BZNb74rgYMtElmxXlr27pPW8UM9Vde6Ad8j3oNz4i3K0fiVYi0hhNQQBw8elMOHvS982E+B95ILQTllA36V3ZmPWFuKiKrG61SfcPBGo2luSDectcYY5jpbQxaBGdmruE0tV2ykAxyWhms0GQ/hdkM2v9292zfdcViKs1btX2PeszRJM8fZfcBR6M0GllOu2nhCEA707p7zMdFdSVHY5xN/H+fnrOfiRtZsTjxu+56CxFqLg3eQ8+OChlibdBIVI9ZG1m01HdbBUYMTMR01INY+9thjcumll+ZcbsWKFcpVi38feeQRlVsLWlsT7w/83djYqC5w0DoV/3DcIrs2EzfeeKNcffXVFmft0KFDpW/fvo5OXVKZH9n43sOcUKytPJyPGp2Tfv0k3LWrRJasVn82rNsunTt3lrrJ7jpsW2WNcbKV1G3dI42NnaTu2AkFxT15Hb5HvAfnxFs49R4oFYq1hBBSI6CYnTx5suzatcv7P/487KzFjwO4OOP7DipREK4Ou5gMd6BJkVmy5ngNDVYhtUsGsTaDkzSvMbTHqnXqYq0mrhYb6aD2Gdy7B1vyysX1F+2szZ6LmybWapEWBc97LJ7xh5Y6NTPprMXzVoJjEVELucRauG8NpzCylH0Qk7OtX2tiFt2xJ69tMsaJNe9JPR9NGLesH9sLYb4tLNHmPY7vjazj4LTUtQkxGdTZcnGrmUsuuURd8uHRRx9Vguvw4cPT7oNAe/3118udd96pXLfbt29Xy+q5tcirzebIbWhoUBc7+F7w/HdDBwLvHc6Jd+B81OacNEwYIX6fT0KLV6m/I2+/p9ZbP2W0exuaPABpEF33vipr64+bVFOCLd8j3oNz4h3KUV+xYiOEkBr6wobbqnv37p5yqjpi/0Lz2OaamapoiuWUJZt0ooJ8hbp8Xa+O46DYLzIfNOcYJTpeU2MkH4tIh0gij1QnVmJ0hL9rp7zEWrOJWWN9xmZcOcdQ896aXxOzPF21atkeBTYx25tw4SbGyaOJGWIskg5sPDZbIzbLOBB2k1lbgYG9M35+qCgEo1FaKCzxvbnjInRUnm7yMf4+3QtqAFdLfP7zn5d58+ZZLhdddJFy0+L6l770JbXc7NmzVfH/t7/9zXwshNvnnntOzj777Ao+A0IIqR7qxg+X+qPHWnLTQyrHNr/vyJxEY6laLfn9GXnvfQm99rY68EsIIcVAZ62LWZHhcNit1ZEsdn/sZ5wuSHdI5anV+QgGgxIIBLwveFYzHnbWAp/WAAtuUbGJmGiuZC5bsrM2s5AaSwrFcMaW8nq0OGvtYm2JjlenxmTIrfV1s5YY8UMtLmTWpq/LMgYakhj7rHOJY0AQziAqq/uMx2RwoebVxKyQqIVe+UctRLEPIJofbs1LGEdkQiG5uNFNzYnHNe8uSKyObk3l7waPcD83sFqAo9buqn3xxRfV986sWbPM24YMGaLcutdee626b/DgwXL77berA3KXXXZZWbaN9Wz7UKv1U7XSXvOBvGq8l0n7UzcOn7k+CS1amWp0GY9L3RQXGoIlD3ai1qo/Zpy0vbRMrTuy7n11e/3xteWwJYS0DxRrSwRH5LZt22ZmjpHyYnQFRQMlCmmVp5bnA8V0v379qsOlqs0HIhDweYSML09jL1o9to/9msCF/FLTTejkrC1VrM3geoXwKEaWbKm5uNo2xlvbMj+XEpuYmeuEWGiLILA2GCt8HNWMC05ZODozNjFrKy0XV49awLxnWE7PtNUfk48wj7nAPtcF37yamOXhrE0s11Wi7+9MPv6A5bWccZzdqVxUf4YsYPP+flrUQvMeqRs7LK/tsou1uURhkuCee+6RLl26yA033KC+a0866SSZM2eO+m5yE9az7Ust10/VSHvOB3KjBwwYwHmvAHXjEt9XpmD79nuJ20sUbFW9BgJ+CQ7tL3LyVItgi9dXwwmTKdgSQgqCYm2JGEItRJ2mpiZ+8ZYZlXcXiSjnI4vbylOL82E8JzRkQWfvlpYWGThwoFQD+KHx9ttvy6FDh2TUqFHedm9Uk7PWwcWpZ9aWHINgyaxtyyCilioIZ3HWuiQ8WwXh9I7zRtwCtsVXpHPJ39QgMYi1La3OWcIWQbgIZ60WtZBNTLU6awuLdIATV4m1uIQj4qsL5inWdi0iauGAyJB+WZfHfowaDt6Gupz7Ta0f2xyOmDm3+YBGdnDimhEVPTpmBEImvvOd76iLHWTP/uQnP1GXcsJ6tn2pxfqpmmmP+cAYaADb3Jw4M6FaasuaFGx9IqGFmmAbF6mbWoJga0QdJGsbu2AbXb9VUN1RsCWEFALF2hJPFTOE2t696RBpD1jceotano+uXbuqH8k7d+5U73FPC5+27XYtg6uMpJ0O5rGXj8Ul6tAwyxQjg4GE47OUsbQsWj1ewVVBOIuQ6tY41qgFm3s3GjPHLSkXF49F5il+GGF9NiewLqzn4yjN7qzN0sRMu89fQAyCMUZsx14zYsOXQYRVTq+9h8yDB9lE3YxRC8i8zYFyQSdfA3Dv5vosx3vX36ubxLbvTorObXk1v4vt3JvK+R2QOReXtD+sZ9ufWq6fqpH2mo9OnRLfSxBsq6m2rDWMM0JMwXY5HLZxqZt6ZHHzn8ys1ZuAJgTbadL28lJVs6QEW0QiMPqEEJIbflKUgJFRC0ctIaT26Ny5syrgqyWPGkX/UUcdJRMmTPD+DwCvO2vtp/TbMATOUkXUxDq0Jlgh7bWm5+KW7N7VxFptva46a/U4hxabIKw16ypZrLXl+WZsYlaMsxYCr0/LKs6AeZ/PV3CzNN2Jm00QVvMSTYqbtkiJ7OtvUqdi5p+Lm3LvBnrlH7VgPn5Pfk3GohBrjXEYgeApWM8S0n4YvxurpbasZcG2/pjx5t/h5eskvPTdgg0PannjMTYjQnBoP2k4eZp5uxJsX30rFZtACCFZoFjrAjwiTkhtwvd2GbEVtF7b10rcTG6T3VmrOvsmBc9S82oVyGE11q2Jtfp1fZmigPvX2MeakzbNaasLx27m4lqyZEvJxW1Ii1WwjqOJtcU0GAv4TZFXz6VNc7wmYxAwRqEOGd29m1UQLrKJGbbH372LuQ64mvMVa4uKWsjDvZsYJ7VcoHd+ojBpX7z2OUxILcL3mXeoG3uE1M/QBNt3ihBsdeHVoR4IDrEJthu2UbAlhNSmWIsvuEwX5EsahEIh1T0XAe5wx5155pmyatWqim47IYSQJD7b14/HRAKc6m3kvKY5OEPuxROoddRniEHQxFqL+7aYMbB/k+tIc9Ya4i3ySks4Nc/fmG8ubglibafGjIKwuq1EZ63lccjGTZ62bwH7LxxJLFtAczFz/XrUQpZcXP2+QpqY2cdwyly2jKO5bxFvULizNk+x1sjfhSBegFOYEEIIKRd1Y5wE29X5C7ZGXi3IUENRsCWEdAixdv78+WmXI488UqZNm2YJar/qqqvkt7/9rdx+++3y97//Xdra2uT000+XfftSHY8JIaTWcgeXLFkiK1euVNc9jcczay1NuZDLqbkT462aiNpYouPVyDhL5t5anLV6DEKpzlptHRbHriakliw8KzdyBmdtWzmamDmItYbbFgdxixSFrREYra7m1SYeozUxyxaDcLA4Z619jGxRC+r+/YdSImqe4/i7dzbnOq9cXAjfSfEZrlzm9ZFygSZtXbp0STtYpTdowzK62QN9Jz7wgQ/IU089lfc4Tz75pAwZMkSZQ7zE+vXr1XP661//at42fPhw+epXvyq1hNPzrDSXXnqpupBqFWwnmH+H31kv4SV5CrZafahn1tqhYEsIqXmx9vjjj7dc4Jx999135X/+53/MZTZv3iwPPPCA/OhHP5KLL75YPvjBD8rjjz+umoHdf//9Fd1+r1Kp4tYotoyL3++XwYMHq/ncsGFDwc8Dc4ztfOedd/K6vRrB83j11VfTbrfPl9f4+te/rn4wtBcHDx5UrzXsl4ULF5q3HzhwQHr16iWvvPKK1CL79+9Xz73qTgP0mLM27ZR7TRh0s/FXmhiru15ddNZa1hGJmuJzHKJ+0j1aci4uBHhDEC5XLm5j5lxcPbMWQntaE7t8x9CalunxDU7xC8VELShROynOZ4paSHPWdi3BWZstaiEWN0VhPCbf03N9gYD4uibcsbF9B3Pm7xXj3iWknKDRk2H6gLmjtbVVPvKRjzjWV3Yg4Nx0003yjW98Q+rr3fkOKCf/+Mc/5Jprrqn0ZtQ8119/vfzhD39Qv0tJ9VE3ZqjUH6sJtivyE2wt33856g4l2J4y3RqJ8MqbzLAlhNSGWGvnkUceUT8uPvOZz5i3PffccxKLxeSCCy4wb4M4M3v27IKERdJ+xS0c0Fjnyy+/LHfeeae6fvbZZxfsDoQoe9tttzmKtU63VyN4Hvns747O9773PdXZ107Xrl3lyiuvlG9961tSa+Bgx8SJE2XUqFHqenU5az0o1mY4rd9yir8bmbWakKociMkfBq47azXB13DXxkOp94ivIVj6GGUXa7NELUB0NrKEixFRk/h1Z60trzgxbptjLEO+qAOTSfEVQmomodPirC2wiZm/S6e8ohbU80uewlmoIGxGIUDwzTJGWi4uxVriAfAdaRg/Pvaxj8kTTzyhPnt///vf53zsiy++KG+//bb8v//3/6QamD59erseLM+Hlpbs8SzVyOjRo+Wkk06SX/7yl5XeFFIkdUemC7ahXIJtjsxaO8HBfa2C7cbtFGwJIY54/Nd8bv7v//5PTjnlFOWgM8ApwP369ZOePXtalh0/fry6j3ivuEWUBdZ54oknyuc+9zn52c9+poRVr+YM4zkjWqM9qYbCtj22EfsdB2Oygfc5imUI207Acf/f//5Xli1bJrUERKA+ffqozz7PN7CoBmetLm5mEGtdaTAGDDEWwlnyIJUlrsANZ61+kMxwB4fcFoSTY4QjFhHSLTeyr1N9frm4mju24DE0sTbm5KzVMoz92vYUNIYhvsbjac/DHFtvYpbl1MqSnLUlRDroObrZHML2qIR8m5gR0p7grK6+ffvKxo0bcy6LmnfmzJlqeb3Gxffu888/r84Ow4HhYcOGqbP87CCeDQIqlsG4V199tTI/FLOufLDHIHz+85+XSZMmqXGwHejtceyxx8qiRYvSal2csTVmzBhpaGiQkSNHyt13351Wb33605+WoUOHSlNTk0yYMEHuuusuS51mnEX3u9/9TsUE4Mw8jJdre3/84x+r/YP1nnvuuZbeJAbYb1gWdQ/i8OAg1g/U57N9AEYR/E6EKQXzesYZZ8i6desstScO8mMesC+wLAxDdmAU+t///V9HswCpIsH2uJRgG4Fgu3hVZsE2zxgEZ8HWnxJsX6bDlhBSQ2Ltm2++qcQ/PQIB7NmzR3r06JG2PL7Id+/enXF9+CLGKcT6BeALPdMFH9y1cgHZ/na6bdCgQWZxm2v9RnELMSnXOEYkA+ISjNuM4k1/DE7tQgGIggqXESNGmMWSEa2Q7XasA4XejTfeaCnAUGjp22MUtohxmDp1qlrun//8p3Iw3nzzzeZyyM7CulEsGrc988wz6rbm5mbztvvuu0/Gjh2r1oPnBRcoXMTG/Q8//LB6DBy0aI6HQhrrNAQ4NM8znse8efPMfYJ13HrrrdK/f3+1n7/whS+oU+KLeT387W9/U1nQjY2Nap7hiIYYa9yPcSHeY59gv3br1k39i/u2bNkiH/3oR1VhjEL7hz/8oeNcb9q0SS688EK1rSiQceAFkQX6Mtg/V1xxhVoH5gjL7dq1K+u2wzl72WWXqR8YTq+vI444Qv1QwH7OZ19k+wzw4qUqttn2+YtXR8W3yXbRBdJYa+IggbroWan1QVfmROpSrtZoSyjxGL3ZWDBQ+vOp18ZIPp+oLkLXBV0dI9aaeB7quWgCZzzPfea4H/EZmNxXcLha7tfzZRvqi56PuD7vLa3py2gCbjzHOBn3kybyQui034/5kaTrGcJrwfsJBxGSrh1k1mZaLmrk1YIunQp7Dl00UfvAoezL7z+ccxxCKglqJfxGMOrFbMyZM0c5KJ24/PLLVe2B+hRnnuHUeNSBBqgdP/GJTyjREDUj6jnUhKiFCl1XKWzbtk3198D4f/nLX1QtfP7550s4nPre+drXvia33HKLXHTRRarWQy2MbcD2GqDeQz37q1/9Sp29+KUvfUm++93vqrrWDmptfPbCaAMhNht4zrj8+te/VpfXX39dmUTs4Iw91KJ4DthfEGIRhVfI9iG6AM8Tz+/pp59Wj0f9a/wOBJ/85CdVlN43v/lN+fe//y0f+tCH1JxheR2YTnbu3ClLly7Nax6IN6kbDcF2ovl3ZOWGzIJtHg3GMgq2M6elBNtNFGwJIVZKP+exRNDwy+lIqR0czbWfOg9Bra6uThU9bnDHHXc4OvF27Njh2EAABQ1+YODoabUfQTV+KNmfh/H8Mi1jFLcQ0XLtAxS3KPj05Yzr2JcoFDHG2rVrVS4riqtx48ZZllc/LpOuMwiVxnUsgyPqKNZQUKEImzVrlroPYnKm2/E4CIwQRSG6YjwUwnD3QnxEMWaM+/7776vCFcUmjtDjgsxeODSNbYRLAeKmfhtETTwXHCzAbXB8QviEAImoB0Q+4HWHgwwQJPV9/dnPfla++MUvynXXXaeET8R9nHzyyeqxcAoAiMvGWFg3fkA8+OCDKjPrhhtuUEIoYiYK4V//+pfaL9hn3//+95XD+dvf/rbKEf7zn/+sljH2/Ve+8hV1wOSxxx6TQCCgtgUOCBTIv/jFL9SBExTlyJIOBoPmtuL54rlAiIZTo3v37qqYRiNAuKrhjtddKDi9DEU4xoDInen1BpH5rbfekkcffVQ12zK21b48nNxwrWR73eI+zAXEYXzWeB0UkfhxgVxebDf2lWeJxUT317W0tsje5mbxEsG2FjFOJj+wc7eEOye+Mhv27hfj22jPoYMSa86eZ4a5wHcd5idTPEVjNCzGK2z39maJdWmUppZWwQzGfSI7du0s2X1cH2oTw2+6d8cuiUpEAjv3i+GPPBxqK3kOGmNR83ns2rpNYsk4gqZDLYnn4vfJjt27SnounYN+8YcTQioOghlYnksklPG55JoP3+E2MRLcW/fuT1tPp/0HzOJp18H9Eg9ljwBwoj4WSc3Ftu0SiVkdvP4DLZJIhBVpDYjsK2JeOjfUiR/C/4HD0rx9u+M+b9i+03wt74u0SbSAcQLhNnN/H2reJW09MkdCdN5/ULkDYvVB2bEn/aA5m7+SSmB8/6O+Q50FByvqvGzgNwvqmylTpjje//GPf1zVsAD1DEROiLJGPYn7UH8Y7ssPf/jDqg7CAWbULpMnT857XaWA2v0///mPik4C2IZTTz1ViaKobVGL33vvvUqYhcAJ4DY9fPiwqllxGz4/sV24AHym4rFYBo+FeUAHAqgupGYDdQyEUNSGADU3xnn22WdVLxKD4447Tn7+85+r6zA3oObGPoJwa+y3XNv3xhtvqPmEEI06Fb8vUMcaYJ0Q2TE2IvWMsfBawDrOOussc1nsT9Re2I/HHHNMETNDvELd6MRZu6HXl5uCLag/aqzl7DVrZm1hPrjgoL4iM6dL23+WqLo4Idguk4YPTGUjTkJI5cVaCDz5dM5csWKFEtIM8IULMQZfkMij1YEo5lT4QxyyL6sDEQ6nIhlA9EBxAFHPyakLcRHFBL7YcTG4/7VNcrCtsuJtl4agXHb80LyXN36w6s/DuN24zf6jFsUtChsUt2geZX+sU3GLQk1fzrgOUVIHzkccAYcoZ98eFEGGcGaIUVgPCk2jMII4qrseMt2OAgxHyCHQGgUYiuDt27crYfecc84xx8XrB9uEwtAATmEIwRADsa3I3IW4iqPveH3AIYxGVnCMYhux3A9+8AMltELIBHgNo2D/6U9/qk6xwulhxr5G8Y59bAfiuJOrA4K1floWTvOHM6HQU+cg0OLHBNwPAD8m8FxQ/OK9iB8Txr7HPtIdEtiXOJUO4vxpp52mbkOhjDnF+8+YcxTKyBJGQWsIs5gDzBFiMPRthpiPoh1znA0U4PjBhX2MsYxtxL/21ydei5gDuIXxGnYCj8FcYE4gwnsdvL4wP4cOHVJz5GWBWbna5S3zbxyM6K4J9F4gGg9KSBKnxHapa5C65PaF1jaLkabdq38/8XfL/rqEOIjCHt8lmcTa0KbdEt26J7HObt3E36eHtMZXK8exr65O+vXvX/LziextlbBsU9e7N3WRYL9+EjkUEcNH1aVXD3VbKYQ275HotsTz6NmlmwT6Jr47W2IrzAiEUp9LW+f1EmsJiS8Sk759+pg/aCIHwqnn0rtnxueSaz4QP9EqicikBvFLN9t6WqPvqXmB+Nln8MCiIkciByMSXpuYi271jWnbGo3sFOMQcVPP7kW9N9q6b5ZYyy7xRWPSt3tPx8iOtlXvmy73nkMHib+AbNxY527Stnitut4Y82Xcxng4Iq1Jl3CwexfLgTiDamjS1BG5f/5GOdhWWO8AN+nSEJDLTjiiLOvG96T+HYk6AdFeqEGyYRhM9AgEHaOWBPhswAF1HKw2DA5wXNqbwX7qU59S9R5qSF2szbYufIfqfR1wfyEHaHHGlCHUAjh9gbF+1HCGYKwf1IZgC2MBzoxCLYpaF2YXiM84y0535uL56s2LUUvmC4RjQ6gFqCdR16Fm1MVafR8Zz2Pu3Lnm3/ls31FHHaXMAnAZ4/mi/tVfG+iFgrGxDfq+gGCLuhjzoP8ewW/GfIxIpEoEW59I6DVNsI3Hpf7ocanvfi0GQQqMLALBQX1sgm1zQrA9aWrBEUj5Etm0XWXNB48cKj7tzC5CiLeo+LvzkksuUZdCQUGDL10nEQqiLsQ2iGt6bi1yi3TB1w7ENrs4CPBjzukHHW4zTkXXf6wdaovKgQoWt8CH/wr4AWksa3+M/tzwL4pb/UeVUdxm26/G6VYAP9L0MYzrKPxQBBmn0ONviJhwneI0+kzbar/udF+mxwA4K1GAQUzUi16jANPdiRDsUMDpQKxFIbhgwQJVYBuOToiccOviftz35S9/WY0LhypOjzLiGAwg3iIvC8vieRv3QQh1mkf789C3W78dRSu2p5DXgv5jwr6N2CcQn+FAMO6DO1jfx3AooMA2nAwAhSsK/MWLF5vLYd+jGMd+NfY9ilzsM0Qh6GPDDa0X/JmASIsICGTSZns9GD+08HqDMw8uaieMx2X6DPAaeD4QtPG6rZZtNvB5cXv13NO2UGr70Mgqib+hPq/tzvU68tfXmQIwxDUspxpmKbE2cdCgVPRMWl8kmvgOCxf+XLKBdZjPIxxJrc84pb++ruQx9MxbfyQqvsZgWv6uv1Nj1nGyzQeiDZQ7RkVRaPNukIzBQC5use71QOdOprAsLeljRLUIDDQ8K2afIYM2tm1X4o/DrZbGaQbxA8msWb9PAp2bxJejk3Va7i6WR4OxQy0ZtzF6KBVP4e/aOWM9RbwHhNr9FTYflAtEKuEsKHxfGmcioacC4tVw4DsTRras0+8FYDd3oGbGgWmAf/E9jTpFBzUT1mePasu2LrhiUUMZoHbC2V354rRu/fmhVsW24uwsJwyxFoYCNByGw/Too49W68XvAhz0N0wLBvbnnQ2ngzq4zS6COj0PPf83n+1D/AEMOr/5zW/knnvuUfOBMwFRl+N1gn2Bucl0ABzbpPdOwVxWQ58Jkh91ozC3Pgm99rb6O7IqcRDfFGw1Z20h36Fpgu2spGAb1QTbD7gv2CJ6qe2/iZiOyMbt0nja0a70LHAiHo1JbMceZUDwBctztp+Ktdq1T/zdu5RVeI7tO6gOepfSdyHnGIgMw1lfDvWaW+AAOmLW9Ea0ro+B+vlwW9nGiLe0SdvCFarHRP3UI8vy2sJzCC1cmTg4gzHc6lFSbWJtscA9iC9Y5GLawVFWFP44HdoQgiHc4sgoTuVuDydApSnXNpSruEXMheF+nTFjhnKNDhgwQJ0eb3cguEkhBZhTkYnMWojJ2Cdwc6OQhHBtxCPg+SJCA85a43XotC7jb3uhXkhhm6loLbQRWqE/JuzLYZ85OU7sy2Hfv/baa477Hvs122OdQEQDYhLgJDac9RCejX/tDg/jtVhLBTWEI7x/IEB7OgLBCU82GNObWWn5sZozx7XCUFsPCimF8W+dO3MJh659DEsTM1cajGljJAXHOA7GJJ0nvjKM4WtscLXxmzpI01gv8cOt6U3MIEwmm6WVNEZT6rswdljL2jXG0TJ+i22WpjdKQ9GcNgYyuZONwZCLW+iPTCwPwRbuHKwH63M6MIj7zccU2MSMVJZK17PlHB+/E4y6Exn2cNTizCnkmSIjNRPGGXqGaFpojWb0MNBBzYJaLdvZf3YgPOIAv0GmM4SKBduCbYU5xsn5bjiQcYak/SwwxDU4UYhxwL6PjNuy/dZwIp/tw2sB8ReIGIPZB3FfRowYfjdiX6Cuxdl1+QjLeG3AiEBqh7pRCeOQk2BbSgyCTnBgH/HNnC6thmC7uTyCrd5YFCJn69xFZRNsESERWfe++Lp0ksYzZhR09k6+hN9ZJ+Gl76o+E42nHyOBns4GnFKIYC4wLwG/NMycrubKbWL7D0nLv19R15GXbLzm3CQeicjhf74k0hqSuimjpH7y6PKcOfn8GxLbuU+Co4dI/bETXG96HV67RTXlA7G9B6Vx5nTXBdvolp0SeXdTYoyde6Xx9BkVEWyrUqzFKSjIIzrvvPOUeGgH4hpEWpzOAsECYhoyOyE24Qu73JTrlC0v0F7FLYoiFEnLlydOOwE4Dd2eHWyIn8VSSAGW6YMGQqwh1iKD1bgNoiEEQTgPEKdhjOdUhKI41O/PNWY5KfTHhH0bUUgj59mO8RwNsB5ETjg1obCL+vnsBzSMw+vD6TQ7uE/wOoU4bGC8FllQewTvabWWBmMWUTPpElUCs0sFtE+L6YiHo8qNYAqcLgnCPl30dRBrXRFS9XUk1x039pcSWl14LtoYliZsLom1xuMh1sJRDYHWEDKVUBsvTUS1P9YuCCdu08TapBhdiiAc15uvGWBejAz4Il0c/i5NEoUYCxc49o3DtiIz11yeYm1VUcv1rB3UtugLgMajcGHCMOAEmp5CvETNUSg4YIwIJvyGQXyYAeK0AA705wvE2XJmohpnRyGzH83NMoED3rqYizOlcEZXqSCmDHWnEYWAaAOYBfQosnwodPvwmxFNxGAKQqwUwJlhOJMT68mUVWyA+heRXLniNEj1ocQzRCLM1wTbuEhggPa7qMSzRAID+0jjzKOk9T+LyybYWsTlMgu20R2J3+k4oNs6Z0FZBNtYc1ILaAtL6wsLyyLYRrcnjUrRmLS9uES5oN0WbKPNu5WLUz8o4LZgG9t9QAm1IPzmWvX6rZs8yl29oS2shFoQWbNZOc/rj5tUtOvcCcM0AXAGGQ5wuC3Y6nU4BOHWFxZURLCtSrEWAe9w5aGpUSZwGguKIhwZRa4snJrIX9Lzj4h3i1sIe5hj/fQriPCIstCBWzrbaVy5bi+kAMsEhFkcGEBB+4UvfME8HQ35s3AgG65agOIN4jCO9KPrrl6oYxsggOcCTlT783AT/ccEGqHp25jPjwk8BxTYKKyNzFr8jfefLvRi3//pT39SGWy5smjzAduM4l4HcQ54DmiQAcepzvr169XnQabXLGlnvOisRdGNL/5I1CJqms7X+kQjkrIIqVounmvuXV3ktLt3ldAaLI9D2G1BOJOIrhVv+jJFjWGIjqibcZDQcO+64Hg191MyQsCIVdBxYxxEQWR11mrj+ot172qnuMUOtEjAQazVXTx01hIvAxclhDzk5uMUeCdgHICrFdn8xYCGYTCboJEt4qXWrFkjN910k8pK1fNqK82YMWOU0xTbiRoXIinyXlevXq1qrccff9yM30LMAGK3ULMj+7XQM7oyidGIBcPvOBxchzMW9aWeV5sP+WwfjDwwKqBOxDKIMUPPBzTQNdYBwRoGA/RFwO8FxMLBUIL505umIcarUOGdVA91I5MOW0OwXb0xJeThO84FQTUwsHe6YPvSUmk4eZo7gi3qDvtNSrBdKI2nHeOuYKvl+ZZLsLWIzxBs5yQF214uCrb6GLGkYAuHLeIr3ELPPjYF23gyhqM8Y4TfgmAbl7opo137PWM/GBB5731VS9cf76JgG7MdcFCC7WL1vnFNsLWPsfegtLywQDq1s2BblWItnHOwWGcDzjycPl/OU+iJe8UtIhXgejQya9GwCh8aevO5T3ziEyr7FU5MFEFoOIVMWx0Ibyi4kBk7YsQI9TpAUZXp9kIKsExAjMUp9nhuEK3B9OnT1RjYPuSnGsDpjf111VVXKdcu8l7xvJHRC5dFPi5PiJvI24KLFyInBOBCTn/DfkUW1+9+97ucPyYuvPBCdUHWLsTnfH5MYF+iWQOaxuF5Yb+juYM9FxbN/NDwAcI2Tj9DAzI4EtA8Ao0vdKE4HzAOsm2dwGsP26SDgvrEE0+sqaxEOEbefPNNdYBKb1RXFXhQrAUoWlV2rC7WGvmrbmZj2UROuGud7nNLEDZjEDSx1o1xdMHXHKPN5aiFTM5azcErJTbX8zVmiFrQRdSSoxYaHKMW0sbpVO+Cs7ZMgrDmlFWibLKhnE5sP521pDpAPQUBFWeKoelwJoMH6lHEdGWK/sgG4ttwwB5npOFfHMT+0pe+pOokr/Hzn/9c7RM0zcX24mA+/kbfBQM0akU/gyuvvFI1CkX+K8wI+TSPzgbWAZMG1o2z6FCv48B7oeSzfagFIeii5ocrFtFsmF80DDaAgQG/cSD2InYLr41JkyaZJg0D/DZBfV5ojBmpXsE2vi8RuaZwSYxSgu2so6T1xaRgu2WHe4KtJtgFRw6SyJad6mB3bNd+1wVbu3BnCranz3Avz9QmQKJeNx22bgm2doEbgi1iEWZOk+CgvuUZQwm2yxPuVzS6K8N8gPDb76l/XRNs7fMBwXbd++pf1wTbqDYGVheHYLtbvV/wvnFFsHWYj3gFBNuqFGtJ7RW3EAINcFR76tSpypmpu1IRbQEBFQ0AUEBiTBS3usMa4hQEU6wPp3Dh6DncvHD2Zro93wIsEzhaD7cshDI8zhBl4eZ+5plnLM8BoGCEO/anP/2pGhOxARBH9X2QjV/+8pdK3ITjAKd3weGQSaS0AyEa5HKT6j8mzj333IJ+TGBuISajOIZbAU3+8JzhljacGABiIoTqm2++WTkm4EyGgI0mbrrruBzAHQKnLw4K1BpwoBjzXFV4VKyFe1YOa8IjDhQmr7vpPrAIv1i/7ngNup9Za0Q56KKwG+OkPY+0qAUXBGG9uYNFRA+nHM+lFoMZoxZcctZqUQtYv/170RRS8VyKzJ/Wow3aIxdXNcZwIH44mQveUMeu06TsoJ7CxfIatBk8nJYxwBk/uYDbFDXbSy+9ZNZ4qMOcjCR63WOAA98f+9jHVKwbGqvaa+JC1mUHda39sTiTSMfpYD0OeNsfh+366le/qi6ZgCiJ2C87evNop23KB7hqcXEi0zphHMGlkO2DgQH9NzLNB8DZb7fccou65Irpy2RcIbUm2PokNP8t6x0umiQCAxwE2/8ulYZTShRsNcHO36ubdBo/XFrmLEwJti8kBdsSz1BKjBVP1RjBgJlxbzps3RBsNVENjcyQL5oQbBOisCuCrSYO+nt3V07khGC71DXBNq6P0aubxHbvN3N/gSuCrT73Pboot6gp2EIUnuqCYKs33OvalOiNEI+7K9jGUnOO9alGYOGIxLa7J9jq81F/1FgJr1iv6mYl2M5ZIJ3OOKbomLJCoFhLKlrcFlLAoYCCuAbBUC+mEMOgA0coLnYy3Z5PAZbNhZqpEQKOrmcCQiYumcCRf1ycgKvYyaHstB/h1tVz0SCO4vlmK7z1HxO4ZAI/JhDzgOLUDtwQ//73v9Nu1wtoQzTO5V62/8gohEw/eBCfge3+5Cc/KbUEDlagwR1y3arKVethsRYCp3oFRWOJRlkoEIzXVLmctYhdcNnxmjaGsX79/avl5royhiEI65m1rjtrQ2libTmjFuItIffEWkN0xusJgnDyKL1q/JUcp6RCEIWqEePhIKTG3BBr9exdJ0FYPZc2V/YXIV4BB+hxphdqGvsBedJxMZpfZ4vpI7VD3chBqnRtg2Br/NRwsRGYo2D7fumCrb0hmr9HV+l0xgzlGESeKURC02FbqmBr9F5orJcGPI85CxKC7SEXBVvj+fj9Kne3dd4iie2AYBtxTbDV91nDiZMltOzdRIMrw2F7ynQJDi5RsNXGgMs1um2XRFZu0ATbuNSNTvTAccdVPVg5wZXQCcF2edJhW6Jgq++rQP9eEpjeR9peWmYKtqgLG06YXJJgG9fH6NcrMe9zF9kEW2TYBt0Rnbt3lsYzZ6iIDWWy2AfBdmG7CLZV9mue1EpxSyrDK6+8ohwEEFM7MnfddZdqIIGiupbAlytcJHAtV6I5XSm4GTzvJnpDLIiOuojqZgyCLy0Gwf1xVGFviPjhsNVZG/C7Mgf251GOzFpL47ek61UdlDHiKVwRhOudnbWWXNwSm5hp8Qb6elWzLqPxVylNzFTUQn36+l111maPWlBzn3RAFJuLS4gXgfkAWfn2xrek44KD5A899JAylJCOQXDEICU8qdoqEFDiqtsowfbUo9X6QUKwXZIwEBRDVDOxJGtCuCwh2BoHjQ3B1ql2yBdVl5lCqk/8TY1KnDWy6xOC7RsSg/PSDQek36dqUOwrvxHJlBRso0mXatHoAncwIA0nTZHAEcmok1hczUdkyw7XxkC9DjdncPxw87bQ6+9I+N1NJQ2BhrkmAb/UjR0m9ceMM2+CYBte9m5RZ0KY2MYIDu0vDSdPNU050fVb1QEOy7YUPEYsdd3vk0CfHkqwNQwjhmAbdzCUFTMGepj4u3ZOvH6TZ5QlBNsFzrWvi1CsJe0Ki9vKAvcwYiQ6MsgXRk5uoZm4pGNiEf4gPLWDWJsWg1AGB68p0hqFTBncu1KuXFxHh3A05Xh2JWrBNu8O10tuYqaJvXqx51oTMz1XF1EL9uw4N3JxLc7a8uTiEuJFYEBATWU0sCXugTOq7r333qrbpejxwMZiHVOwbfrYTHWBIFkO4FBsPPUoTbDdqRy2RQm2NlHQwN89Idj6dMH2hRIE27iDKAzB9sxjxdct0Vg6fqi1dMHWeD7J55JRsEV0QbFoAjf2GcQ7twVbi3jp96sD7vXTx0idLti+UaJga3NVg4RgO968Obx8nYSXliDYRtPHSAi208xM55RgG3NlPkC6YLtHWucVL9ja50P907XJJtgeUo70cgq2FGtJu8LillQauGlvvfXWgpqyVQv4Yt2/f7/KrC3pqGgl8KoT2HJafzjRbMzArY6jtnWpGAR9HK0xmFtNxoz1G6Kta7m4mEdTEE6PWnBDeLYK29E096v7UQu6s9bFcXSx1hK1UAax1t7ozS1nLX44JkXrckUtEEIIIV4GB1/d7GOQt2D7n8IFW2sMgrX2hmDbqAu2ew4UL9g6CIPqaqeGxBi6YPs8BNtUM9KicnG1MVKCbc+UYDt3YdGCrT06whhPCbbDBlgF283NRT4PbQxDePb5pM5JsF1dpGCbYU7qxh4h9TM0wfadEgRbiyM19foKDu2XLti+WpxgG8/wPJRge/oxKcG2OSnY6qaRYkRn/aCGk2A7Z0HGvg2lQrGWEEJqBGQIL1myRFasWKGuVxUeFWstoh1Os9dEVLcEToWePYbCWx8n4OY4yXUZxX1SSC2LS9h01roscDs4a+NljVpIz8VVlDhO5lzcVMFXanSAJaqh1fpjyxwnGCgp18sQYeMtrWmFPZ21hBBCiMuCbbKWim4tQrDNIHS5Ltg6uB8zCraHIdgukNiBw8ULd7YxEoLtUeLvpwm2LxQp2GbYZ0qwPXGyVbB9aWlxgq3FkZr6TWQKthNGmLeFFkCw3VjSGPbos7oxToLt6oIFW70xl/31FRxiE2w3bCtOsI1lHiPQu7s7gq0tBkEnTbDdfyiRx1wGwZZiLSGE1BCNjY3VeVpmFYi1OAW+bI5XPH+j0ISzVi+8XRSFTYHZGMM4zcfNjD2bs9bt/F2n7F23c3GtIn04/ToEzhIbieTj3tVF46LG0BofxDOItaW7d5OPx2vJVgxTrCWEEELcFmyPtgm2BWTYZnAM5hJs2+YuTvuOL8b9aN7UqSERu6ALtnOKEGzNzNr0MZRgO0sTbMNJwXbn3sLGyOJGdk2wzSIOKsF22pE2wXaFRAp02FrmxGHulWB77ATz7/A76yW8pEDB1iE+wHXBNpp5PiyCbTIWLbajCME2y5ybgu2ZM8TXOSXYIprEbSjWEkJIjRAIBOS4446TKVOmqOtVhVe/jfR4Arvj1e0mIsk5U0el8yimiyLodxTvjHgENzAFWQjCKHYsAre72biGa9dSgLmcWWtx0yaFVFcE4Qy5uG66hC0xCK1aLi72V3JeXI1ayOTeZQwCIYQQ4gqBfj1tgu2uhGCr11t5iGl2UTCbYBvfe0CaFq/N32GbQ6xV4xuCbfcSBFutiZnjGHaHLQTbuYsKE2z1JmYO5hJTsB0+0CrYbmp2xZFqEWwnpgTb8KKVUrdpZ/7PI485qTtyqFWwXbFeQoUIthkykdME21OmWwXbVwoQbGPZ58MUbE+zC7aL8hZsc82HurkLHLbHWgTbjvLzmBBCSIfCo85a3dUatmXJuiyI667XcsUg+AJBZ2HN1RgEbXsh2OrOWreyceuzuHfdENEt854cIx5PRGFo45fFWetqE7MMcQ5ly8XNJtaWp/EKIYQQ0tFwEmxb8xBsczle0wRbNARL1gmBg63SNndR2oHZYtyPFsH2dCfB9lDRmbVpYwSTgm3/4gRbs9lUtjEg2J4wySrYvlyAYKs7UjOInEqwnQrBdqR5W+PqLRLJNxJBj6bI8lzsgm0Egu3iVfkJtjkcqQbBwX2tgu1GCLZv5iXYxk2xNvvrN12w3Zu/YJvHfKhN6NIpKdh2knJAsZYQQgjJJx9Viaj6Kf0uu5eTxQAcvOWKQbA4a3UhzdX8Xd2NbHPWuiXWarm4qnjUc3FdmBdro7TkuvFcjALR7VxcB/eu603MdEFYd1W7mIub3VlbhfEshBBCSJUItrFteQi2eYqo5iLdOiuHrSS/w+N7D0rrCwtyC7a6gzfHGWIph20XW4btodwiqiEg5hDulGA762jx9+9VuGCbpziYEGydHLbb8x8jl/CsBNvRFsE2vGiVhFdtKGiMXGftKcH2OE2wXbkhL8E2V9RCdsF2e36CbSy/OU9FIswoXLDNcz5Sgm0qEsFNKNYSQkiNgKZib7/9tqxZs6b6GoxJER1H2wGLiBmJWAvgYLmctdYYBFedtXqsg+6CdFUQtu0zoyBCzqtb2cSGIIuiMRqTuEVED5anUZqLjtd2c9ZqDmDDFVzeqIUMYm190N1GeYQQQgjJINguzizY5nGaupNg23DaMRJrSApeew9KSw7BthAHr9qWRgi2x6QE25a2hGCb7dTyAoRBNUYwkMiw1QXbfDJskzW5vSmX4xh+n1WwjUOwXZZbsM3TkaoLtkEtEiG0cKWEV2YXbK1zkvu51I2GYDuxMME2j/gAZ8HWnxJsX84h2EZjBb1+A726pQu2c3MItgW+tiDY1s+cLm5DsZYovvOd76g3vv0yadIkcw/NmjVLzjnnHPPvF1980bJs586dZfLkyXLPPfdINM+Q8+bmZunatasSmAz+/Oc/y8c//nEZMmSIWu9PfvITx8fu27dPvvjFL0qvXr3UOj7xiU/I1q1bLcssXLhQvvCFL8j48ePF7/dbtj8b69evV/vk/fffr9grBNuAfYp/CckHfHnu2rVL9u7dW3D3zorj1c3VxU04LMso1pqO1Fgs5eZU4/jL43pt1QS7cjQxM93IyWxUV6MWNKETxVa4DFnCtkZpemMNV56L1ijNsYkZKFVIzeDedVUQziDWqtgIs4kZIxBIx6tn7TWsfdxaIVutXgl+8IMfyJlnnlnpzSCkfQXb03TBdre0vphBsM3RACqbYHv4qNEiybNx4LBtmQPBNnUGjXWcwoTBlGA7wyrYzski2Frcj3mOYQi2A5KCbSSaEGx3ZBFsjXHyFAcNwTY4YpBVsN243RVHqhrD55Pg5FHSNry/eVtoUQ7Btoi5rxs9JF2wXbQy8+/MPDOR0wTbmdNSgu0mCLbLMgu2OXKKswu2iZo3tjO7YGvNrM1vHH8ZohAo1hKTTp06yfz58y2XRx55JOceevjhh9Wyf//731Vx+/Wvf11+/OMf511QoXjVi+i//vWv8t577+UsaD/1qU/Jc889J/fdd5/87//+r6xatUrOOussiWgOq1deeUVeeuklOeqoo+SII47Ie7YhkN52220VFWuHDx+uBOhbb721YttAqgt8cY8ZM0aGDRvmnoOxg4u1FlEO+auWBmPliUEA8ZDmViiTs1bKNIbVWRuzOGvLMi+IQtA+992IQUhvlBa3FnQuiLVKGDKEUt1Za1yHE7mAH1KOY+hib1t5ohYyZtZifxnuB0YgkA5Yz9r51a9+JXfddVdBz4UUzhVXXCFvvPGGzJs3j7uPdBgCfSHYHpMSbLc7C7aFOl4tj21qkIbTjzbjk+L7INgudBZsLWeI+QuqKZRg2yMPwbbI56IE25kQbHunBNu5EGz3lJSRahnD75P64ydZBduXIdhuy5knm+84qCNDI/tLcNJIq2C7IoPRq8g5UYLt8Zpgu2pjRsG22NdXcBAEW81hu6k5Idjqoql9jAJfvwnB9pj8BNsiD2q4DcVaor0O/XL88cdbLugqnwsUplj2gx/8oPzpT3+ScePGqYI3FwcPHpQHH3xQLr74YsvtcNYuWbJEibCZQDH97LPPqsd/8pOflI9+9KNK5H3zzTdVkW1w5ZVXqlPCIeZC/Kw24Bz+v//7P9mxY0elN4VUyXt44MCB0rdvX3W9uvCoWmtxiUbK6qy1CKm6mFamiAL91PtCirZcWE5313J+3XTW6oJswllbjhgEa5yDZQy33bv66yrpenUjakHqMjhr29yMWsgQ52AZg3m1pOPVs3YmTJggY8eOFS/R0tIitUaPHj3UGXpwRhPSkQj07ZEQo5K1RUqw1cQoXfwqovbzd+0sjWfOyC3YliAKK8H29NyCrdn4q4jnkhBsp9sE20USbd5TUkaqo2A7Uhds33QWbI39lTzDI/9BfFI3eZS6GCCqwEmwLTQGQaduFATbSbkF2yIcqQbBQX2kYdZ0cy6jmQRbQ9gu4reus2C70HpWWynz4TLV9mueVEGBjIJ448bcXQkhrgK4Ye3ryMXTTz+tijH9NCcUwNOmTZOnnnqqoHXZwelwp556qro+Y8YM87Q4cOjQIfnqV7+qxmpqalIC8OWXX64iGXRwO5aDI2Pw4MFq2XPPPTctpuHOO++U0aNHS2NjoxLYzjjjDFm3bp15/wc+8AHp3bt3Xo4QQkgNOWt1F6SLQmomsbZ8Y4RSOrybzlqbIGw5Ku7WOHpzuRCyd91tYubUKE1dDLHWhSZm6rTAZEZX2aIW9MdnilpwoyEbIVVWz9qxxyB897vfVdEJb731lqr3UCtCMIYZwc7vfvc7tT2oF1FX3nTTTZaIBtSXEItHjhypnMVHHnmkfOtb35K2NquAgnoWtef1118vAwYMkH79+uXc3j/84Q8yatQotV7chjPZ7CAnHxEU/fv3lz59+qgIMtTMhW7fQw89JBMnTlTLoP7FflmwYIF5Pz4jEbmAs4gaGhrU+u6+++607bngggvkySeflJ07d2Z8foTUIoE+PRKRCJkE2yKiAzIKtk2NmmC7wNJU1CKkFvF73BBs/dkE2wLzUfMSbOc5CLYFZqSmCbbHOQi2G6yCrSlIFmm2qZ8yOrdgW4KADupGDU4XbBfaBNsiMpF1ggP7qDkxBdvNDoJtcoxijSZKsD3jGLPRb2znvoTDVq9hS5wPt6BYSywgQkC/FJN7uWHDBhkxIhV4nYk5c+aoeAIUnoWCQhGCqf1IB7JpV65cKaWAbfrlL39pOSUOF3D48GFVHON0NwjG3//+9+U///mPnHfeeWnr+cc//qEuv/71r9Xl9ddfl4997GPm/Sh+v/3tbyv37DPPPCMPPPCAEpv379+f5g55/vnnS3pOpGOA9yt+HMEpU32ZtR7d3oA9s1YXBV10iqY1/0oWDDhY5GKhoIucllPW26GJmWtuVKCPEYVYGy1fgzFDTC2De9cSp4ADAShAjR84bj2PpFBariZmhhhcTvcuIbVaz4bDYfnsZz8rn//851XNCPEUrlDkzxv89Kc/lUsuuUQ5fv/1r38pofXnP/+5EmwNIEqihwOWRU153XXXye9//3tlKLADx+nq1auVGxgO4mwsXrxY7rjjDiXwom6F6IrtsIus9957r7z77rtqzFtuuUWZDL73ve8VtH3//e9/VU189tlnK+MFxjv99NNVDr/B1772NbX+iy66SImx2G/YH/az8U444QRVr8OAQUhHI12w3WMKtqWKqBbB9gxdsD2UaDpmCLYlCoOGYIucUX/PrlrTsTcktu9g2hjF1sqGYBsY6CzYqu8O4/uj2DFMwXZwSrB9xSbYmrm4xbs4HQXbd1ImMDf2lxJsT9AE29UQbFekvmNdmPeAEmyPsgm2S5WA6sZ8qDF6Jh22hmC7yybYujAfbuDuL01S1UDkqdNOmQR//OMf5cILL8z6OBRDKIThLoW4iZwonLqfCxwpL7YBwJ49e5Sz1k7Pnj1l9+7dUgrdunVTp6oBOByOOeYY8z64XyG8GuB5o5DHkX8UvjjSb3DgwAEl6Hbv3l39PXToUFV0wjGBQhf7CS6JG2+80XwM3Ld2pk6daorHhGQDzhY01cN7GQ36Auy+XjLKdYBiAUdYUeRG/GV01mrrMxxTbo/RDjEIekM0i3vXzUZpllxcu4heBmcthNpIeaMWMIZePLs2Rn2dxKUFqpAqcnGQ0zL3pTprsc3YVgjaIW0e3BSECanRejYUCikhFAIlgBEBdSXqR2wvakn0LoC4efvtt6tlMFZ9fb1cffXVcu211yoHKjJ29SZfJ510kmqUBlETNSRcuwYQTREZls+pndu3b1emBDhhwfTp09U2wul72WWXmcshggmRY+BDH/qQEnnhOMZzA/lsH/Y3tk3PCf7whz9sXl+7dq0ShSHMfulLX1K34Yw0GCnQZwK3GWfU4TcCelXAKIH+D4R0VMEWAhS+n5VgO2+xNc6rRDOAv2uTEmzheI0fbk0ItnMWqNus+ajFC14JwfYY1QQstueAamTamhyjmCZQjmMEA9JwynRp++8SiW7dZQq2jaceLf7e3dwZQ0UiTBTxiUTWbjEFW/wbHD7QPFBfqkEDgi3GCL+5Vv0dWrJaneBWP2GENRe3hLq/Lik6h+YnGmpGVm9SZ9HVzxhfUjSFDsTzxplHSet/FqvXUnTzDml7aak0nDTFlflQY/TsptzbOMiA+LmEYLswkf1suHcr7KylWFsGWp6ebzkNoBIgR6bTWScU9BiccoSj2jo4vSgXcH7q3HDDDar5Vy5wdB7iZ7WBgh/OADgI9FO87GItohQMoRacdtppqghF4QixFi4MNJtAsQ3H7XHHHZf24wLgdDI4EuC+cLqfEB28RoIuOz7bBY8aaxXYn9GQikDwRfSsr/LFIJRFRLW7XvVT4d101lrcu9oY5XIIqyZmyR8fAb9rhZUulkJItcQgBMvk3tW33S33riHG4j0G0Rl/G3MPscaNZmkQhLH9lsxazbnNGISqpNL1bDG1bLXVsxAXITjqMVrY/s2bN6u/X331VZWJi9P69Qa6eAzOonn77bdl5syZ6kAMHLO/+c1vVJxWa2uruSya9uqNzxDXkG8GHx5nCLUA0V0wEaCW1cVau1gN08Ojjz5q/p3P9qEuhuECblm4jSHo6iIzHMwAzmP7vvjhD38omzZtUg1W9frZHj9GSIcTbJNCpxJs7af3lyh2OQq2+w+p66aLVC1UYrPUBmfBtm76GNfivJRgO3O6tP3HKthaxcESx/DBYZto1GUKtq++lbizyKZZTtRPHo3RJPzmGvV3eMlqVQOW0lzOWbD1SWh+Yvsj725KX6jEMQIQbGcdpVzhSrDdskNa/7PE1d9IcG1bBdv9iQxb42w6irW1BwrbSou1xRaMuos0X3CaEuIHmpub1alSKJhQOOLIejZQqCFvqhjgoEVR5uS4hSBaLnCK2v/7f/9PHb1HFALcDCgEzz//fEvhCZxywHCbUTiiGIVjAoUr8rYg7MJhABcCCnUDYx9h/RRrSTbgpD3xxBPVe7H6XLXeVWvhfoy3JZpA+fTAeReKXMs4To7QMjprxRKDUMbM2jI3SlMuZKOocrGJmV1ItTYxK5N7V3fWurS/7KKzIawa47vROMFXH5Q4jl2GNPeuxVnLBmPVCOvZ8tezqPfgktXB30ZNaWSuQsh0wqiFf/azn8k111yjHLgwC6BOhuP3iiuuSKtPkSubL061LB5vF0HtZ7vhOehRCflsH0wNMERA1IWpAbEScMXisajtsS/w+QIRNtO+0MVazEktNlAjpBACvbtbBFsTv3uNk5Rge+YMaX0+JdiGl72rLVB6jekk2IZeW566340xAoZgu1SiW3cqwRZuztT9LozhKNi+qYRPN+vxesQhwGG7LCnYLl1tXbcL+6tu5CB1zL8Ngm08Kdhqtasbv5MCA6yCLTKYTVwSUp0E29QG0FlbcxjdETvKNkCoNUTeU045RZ0e9c1vflMVWtm+BFB46TlUhYAxcITd+FFogLxanGpVLh577DGVK3v//febt+H0MCcgmDndhlPFDHEc2Vu4bNmyRTkQ4OJAEYosWwPsIxS9aEJBSM3iXa025ToNR1U+atm+vJ0EdpdFd0sxq+1zN4VUx+xdl/eZZXsjqXkplyCscrL0HzluRRToDl04d/2xskYtGKc/Gs8FIqsrGDEHyBHDGHVBZtbWAJWuZ9t7/ErUs7kwDAiILUCclh0jUxf16Uc/+lFlmjB45513HNdZiEDjVMsiGgG1cCHku32IfsAFwuwTTzwh3/jGN5RRAfm62BfY9pdffjlN4AaYLx3MCZqVEdLRMQXbuQtFQuVxDPq7JAVbOGwPtVp6Ubh1lpgp2M5dJLHd+639Ltw6q0oJttOk7b9LJfr+zlQfATWGO+K2Kdj6fBJZszlZjxs5rO4ZQeonIb/WlxLOjdgInztCKgiOSDROMwRbN2M2Mgm2Ji6+hpVge8YMaZmz0GpmcdmYUyhVeK6s9ynmlK1aoUuXLio36tJLL5XHH39cOU4zgaIKp0IVA07hQnOvF154wTx9DDEES5YsUY0GSsUoAu1uBByhtxeIRkaXnXnz5qncMyMKYe7cuer0LsQd2NZxHdoAACOWSURBVEFnX/wgQEOGFStWWO5bv369JV6BENK+oMhUJRRctUaRUAax1tcOMQgZiw43x9EFZt1d6eoYWi6uyqw15qU8onMiF9f9Jmbpzlptfso1BjDEWrfcu1rMARy12D9u5uKSysB6tvz1bC7QKAtRAIhFyLYNhdSnhYCYhTVr1qj4A4Dry5Yts0Qg5EOh2wfjApqNodGYURej7wNA87WPfOQjOTP8N27cKBdffHFB20lITQu2p6UEW7hh3UYJtmccK61z3kgItuYdLh6sh2CbzOJVgq2Bi42glGB7iibYluN5QLA9NtEjRwm2xu0ui+j1kxIRQG47nbMKtmUYJ+Ak2LospPp7QLA9xiLYMrOW1Bw4lR9NEBCHkK2wRBbVX/7yl7TbcaRdP9r+1ltvqSYFaERgnIqG4hVOBxRhd911lzpVCl1x0bAL+a8GO3bsMJ2vuI7cL6wLoJmDnoWlA3EUp5E/9NBDKv8TF7gtkMmFU7bQ4RbbgCISgrETcMJCVIZbFkf3ISIfe+yxarsBCl2cBoaMNPz7yiuvqAL4K1/5imU9aBh18sknZ93nhBg/TvCjBgcJ8EPHaLRRFRTRqbvdMIRBwzVYri9vp3W6PU4mwbRcMQitetRCGYVUw1lbJtEZzl2Ls7ZcEQXa9rvnrLXl4qLINQpdF5uYGSiRtnMna2yEWw5eQqqonnUDxAt897vfVfEBEGxnzZql6lPkvMJ5+re//U3VsqhPER+ABlyoYf/0pz8pYbVUEHkAYRTbAHDmFwwGiPIqhHy2D43UIMTiOSJ+AfX/M888o3o7ADwONfjnPvc51VgN5gf0c4BZAwYJiOoGq1atUjU/62dCrIJtpw8dL5H12yR4RP5xKIXg79IpKdjCYdtSliajCcE2ITwbgq3PwW1fumCbbDqWFGzdPvDsKNiW4eC2EmwRibD0XXcNBzkEW9ciw3TB9tSjE43yolEJ9E1vNu+OYJuMRGgNib93qv9QJWD1TFwHpyt961vfUm6EF198URVdTiCHCqdDoVGX3rwABS/cuXomLi7IodKdC3/+859VAYf8WDQamD17tvziF7+wNFdavny5asqgY/yNdaGRgxMQutCd9kc/+pHKz8L6EbkAgRUFMsZBt1oIr3DD2ptSABT2Q4YMkcsvv1xl6aJQRQdbA2SL/va3v1UXdLJF8wtk18JJoJ9+tmjRIstpY4RkAq9RvGbQ+A7XvY5/QG+JbduVuN7TwzEfumhnCFBliUFwOELsolMgm/irN+wqXxOzMgnCZWqUJkG/NWrBkllbhogCCKkxvcGYS89F+05Uz0FrzFMuQdgcy4DNMUkHrGfdAmdeQSBFc1vUn9iuUaNGyTnnnGO6VW+55RZlSsC/xjb9/Oc/z+lAzQWyctHQC2IxcmohkKKWLTSjN5/tmzFjhsqnxe+A/fv3qxoaouzNN99sLoPHwMmMODIIyDijD3/ba/2nn35a/W7AOgkhKfxdOyfyTMtIQrCdIaElq5VQ6+/vfj8ZrBeCbWjxSomHIhIcPsD9MQJ+JdiGlqxSObl1Y49wf4ykYOtrapDo5h1SPzERbeM29RNHqlotvHqj1I1NZXu7LtgG/BJatkaCg/uWpV9BoH8vaTr3ZIntPyT+fj2lHPh7dJGmcz4g0Z17JTCgfL2Q8sEXr4Zf9BUChQJOYYfQZg/ON06Rh+CHvCg4O0nhHH300XLuueeaxVsu8HKFcApB1q1Q9HIAERhFNBwEpQDBGAIufgB48flWy3wUS7W9x+GshfMGn1nIadMPXHiR2OFWCb3xjvi7dVYdXb36GsIR3Oj7Oyy3+bp1lqaPfCDveYGIDqdQNrdzeO0WCb32dpqg3en0whs/ZtyWfQel5d+vpN3e6bxTxA83pBtjHGqRlsetndhB/dHjpG6cOwUiiuaWp15V1wNH9Jfoxu2pzrGnHePKfES371bOEFA3frhEd+yR2M596u+m/5ntyus1srlZdR5WY0wZrYpc1bUXMbAnT5XgEaX/+Aiv3iShBYmzVeqPnySB/j2l5YmX1N+BYQOk8QNTSx4j9NYaCb+5Vl1vmHWUKtIxP5gnnKbW+TOzsz4eZ5/gDBOcFdCtW7eSt4dYYT1bfmqxnoU4DTH03//+t1QbEGkhBHtxPqqttqwU+X5XE85HR4XvEW9RjlqWn3ykoqCIwhF6vWMsSX0A45Qx7COvFvLEW6CYhRMFpy1WQ2Hrb2pU+UP1R4319mu8PbJkM3RNdT1uIUO+k6vO2kzbXC5nraWJWbkajGmZtX6/a6/XtDgHS9RCmdy74XZ21pbhdDtCvAbrWe/w3//+V9auXStXXXVVpTeFEEIIKRpW0KSiwIUA1+imTZvM5gUkwfvvv68ywdAVlxBSQZxExnLEIDiJnO0Ug+Dq88k4RnmEVEvXVhefh1VIjSWyXtXY/vIJwloT3bI0MUMEQlgbxK0x7FEL2r/lyEYjxGuwnvWWkxzxaU5nRRJCCCHVAitoUnGuueYaqTXWr19f8jrgkERWGiH5gtP4cHodnOpMuHEPRxdtezUY87k7jq89hNQMgqmbbmRfBmdtORuMGU25XHUh6+vC+rVkKotY7GaDMYuztgxjIN8Xz4NiLelg1Fo9i5zeagQxZIQQQki1Q7GWEEJqKDrj9ddfVw3GBg0apDpGExfwt08MgmNEQYbYguLHcBKefY4RDMWPkWFdrgqp/rI3GPPZG4xBsLWNXTK66GzELDjc55qzFq7aMsQg6M3QlBgci4nEksIznbWEEEIIIYQUBMVaQgipIZBVWw15tVVFO8UgOLleXc+sbQeXsNpm6LW29qVuOUXNMSAKQxA04gnKKaSqzNpYeV3IGEPfZy49F59NSNWdtW4JqT57DEI5BGFCCCGEEEI6CKygXYCnGxNSm1TbextO2pNPPll1z6Wr1j0cT3v3B6rUWetrv0gHXUQth8CNMWJWN6qbEQUWURau16SztlxxDmYDM6f7SkFvVIYxtHF0kbVcUQt01lYP1fadR0g1wvcZIYSQfKD9qgTq6urUv4cPHy5lNYQQj4I4AXR9N97rpIMSaK8YhHZ0vVpuc1kQztgsLVD+MVxs/oX3vjH38ZAmPpZJEI6jiZnh3nVxHMtrNRq1xi249Tq2NDGLJuIWjPHprPU8rGcJaT+M342sLQkhhGSDztoSgHMNnUbhYgNNTU2JH3ekrEejI5GIBINB7msPUIvzYTwndBPGBe9xulQ7OI7CY5Vm1jq5Xsvx3sX+0aJk1TAu7zOsz+4DdNVZC7C+aEzibaHUGC4Kwmp+sf/haDQycfX7yiAIW521bjUY09bDGISqg/Vs+1OL9VM10x7zgTEg1OJ3I2tLQgghuaBYWyIDBgxQ/xqCLSkvKHTQRAmZnCxuK08tzwd+vA4cOFC6d+8u1QLmYtWqVbJv3z7p06cPs2tdwlFk9FdpZq2TWFum5xIvu7PW4TPHbUE4GEg0MGsrUxMzw71rNjBLPqdgwL3PVJsgbDZKS47jCrbMWksMgotZxaR8sJ5tX2q5fqpG2nM+INQa7zdCCCEkExRrSwRf6BB0+vXrJ+GwzUZEXAeF1K5du6R3794UojxArc4HnBUQa6vtBxR+bGzbtk3FNzATrRpjENrRWVv2McovpLZL1EJ7NJeDmKmyZGOpiAo3c3HtgnAZGrKp94PR8C0tF5dibTXAerZ9qdX6qVppr/lA9AHP1iKEEFKTYm00GpW77rpLHnroIdm4caM6Mvnxj39cbr31VunSpYu5XCgUkptuukn++Mc/yoEDB+TEE0+Ue++9V8aOHVuW7cIXL79826eYQqHT2NjI4tYDcD6892N7+PDhsmfPnqoTmj1NOzlr2yOz1jE+oByvFSeXsNvjOI1RDmetw22ujhFIjAEh1VeuOAdDEEakgy6kujkOxghFEpm1FkGYYm01wXq2fWD95C04H4QQQrxG1R3K/cEPfqBE2M9//vPy5JNPyje+8Q2577775LLLLrMsd9VVV8lvf/tbuf322+Xvf/+7tLW1yemnn65ODyaEkFoEbpBhw4bJoEGDeDDDRRyjCKraWesre4Mx5+gIX/nHqMKoBbMpmi5yui4Ip8awZOO6OI4p/OI56E3M3Mz4JYQQQgghpANQdc7aRx55RD772c/KDTfcoP4+9dRTZefOnfLDH/5Qfv/736vTlzdv3iwPPPCA/OpXv5KLL75YLTdjxgw54ogj5P7775frrruuws+CEEJI1eAkAAaqPLM229/lGEPd5raz1mF9bguDju7d8jhrlYiadB+7HrOR3GYlBiNuwRzbxXGS64rbcnEZg0AIIYQQQkhhVJ3dAbmw9oY/+Bunrxg899xz6u8LLrjAvK1Xr14ye/Zseeqpp9p1ewkhpL1ATi0iYPA5ycxaF6mxzNq0bW+nGATxtYOQ6rbw3B6uasPdCsUWma9qDJcFYWMMs5GZbWw3MLY5YnPWMgaBEEIIIYSQ2hZrL7nkEpVDO3fuXDl48KC88cYb8otf/EIuv/xy5aoFK1euVA2/evbsaXns+PHj1X2EEFKL4CDV/PnzZdmyZZYDWKQ0HIVZt4XHdsysbZcGY4F2EJ7bwb3rGBFRBmdt2R3Cxms4HhcJR8ry+vIZ2wwxmA3GCCGEEEII6TgxCDfeeKPKnz3jjDNM59iFF14oP/vZz8xl0FynR48eaY+FeLt79+6M68Z6cTEw8m337t3r8rMgxQIBav/+/VJfX89MTg/A+fBeA0YcxDp8+LD63EIzPlI6sYP7pe3wIcttdYf2SzDP74Z83yc4Rb3VPs7BA3mPky9tLYclpo3jP1wnbWUeA52zwi5nxre1HLKOgdsO7Bd/nc+1zy2nMeoOH3R1TtpabfsKc9LS6OqctLW2mGP4JCrxw61KwHVzTvQxAnv2SDR5ve3QAfHvzb6fjTqLZwSUB2O/4nVfzk73JH/wOYQGyGyY6w04H96Dc+ItOB/eg3PiLVBjuV3LVlyshSC6devWnMuNHDlS/bC699575Z577pG7775bpk+fLsuXL5dvf/vbcuWVV8ovf/nLkrbljjvukNtuuy3t9hEjRpS0XkIIIaTDc2mH3wPe44viKXbt2pUWdUXc2a8ADSgJIYQQQoj3a9mKi7WPPfaYXHpp7l9wK1askL59+8o111wjP/7xj5U4C0455RTp1q2bctd+7WtfkzFjxigHreGK1YHjFtm12Vy7V199tcXpgcJ248aN/PHgoSMWQ4cOlU2bNql5J5wPwveI1+HnlrfgfHgP1GxoAputRiPFY+xX1rPegZ9D3oLz4T04J96C8+E9OCe1X8sGvZBBi0s+IJ8WMQXTpk2z3A6HLVi7dq0Sa8eNGyfbt29X4qyeW4u8WtyXiYaGBnWxA2WcwqC3wHxwTrwD58N7cE68B+fEW3A+vAdP0S/vfmU96z34OeQtOB/eg3PiLTgf3oNzUru1bFUFVxmnby1evNhy+6JFi9S/w4cPV//Onj1b7aS//e1v5jIQbp977jk5++yz23WbCSGEEEIIIYQQQgghpCqctYXQv39/Oe+881RGbSQSkaOOOkpl1t56662q4dj48ePVckOGDFFu3WuvvVYCgYAMHjxYbr/9duUouOyyyyr9NAghhBBCCCGEEEIIIaS6xVrw+9//Xr73ve/Jr3/9a9myZYsMHDhQPvvZz6Y1BkMTsi5dusgNN9yguq2edNJJMmfOnIKyZxGJACHYKRqBVAbOibfgfHgPzon34Jx4C86H9+CccP92NPia9xacD+/BOfEWnA/vwTmp/fnwxePxuGtrI4QQQgghhBBCCCGEEFL7mbWEEEIIIYQQQgghhBBSq1CsJYQQQgghhBBCCCGEEA9AsTYDK1eulDPPPFM6d+4sAwYMkOuuu05CoVD7zk4HZc2aNXL55ZfLtGnTJBgMyqRJkxyXe/DBB2XMmDHS2NgoU6dOlX//+9/tvq0dgccee0zOPfdc1bgP7wfMy0MPPST2BBXOR/vw1FNPycyZM6Vv374qE2fkyJFy9dVXy759+yzL/etf/1LvC7w/8D55+OGH22kLycGDB9X7xefzycKFCy07hO+T9uF3v/ud2v/2C3LsOR+V7Tswffp09bnUp08fOeuss6SlpcW8n59b7sJatrKwnvUWrGe9BetZb8NatvKwlvUu7VXPUqx1YM+ePXLaaacpcfbvf/+73H777fKb3/xGCSKk/CxfvlyefPJJGT16tEyYMMFxmUcffVQuvfRS+dSnPiVPP/20nHDCCXL++efLa6+9xilymZ/+9KfS1NQkd911l/rgwYcR9v13v/tdzkcF2L17txx33HFy3333ybPPPqs+l/7whz/IBRdcYC7z8ssvq/cD3hd4f+B98sUvflH++te/VmKTOxxoghmJRNJu5+dW+/PMM8/I/PnzzcsVV1zB+agQP/jBD+TKK69Un0f47Lr//vtlxIgREo1G1f383HIX1rKVh/Wst2A96y1Yz3ob1rLegbVsB65n0WCMWLn99tvjnTt3ju/atcu87f77748HAoH4li1buLvKTDQaNa9fdNFF8YkTJ6YtM2bMmPhnPvMZy20nnHBC/KyzzuL8uMyOHTvSbrv00kvj3bp1M+eK81FZfvOb38DmbH4+zZ49O37iiSdalsH7Zfz48RXawo7DihUr1PfHfffdp+ZkwYIF5n18n7QfDz/8sNr/Tp9fnI/2Z+XKlfFgMBh/6qmnMi7Dzy13YS1beVjPegvWs96H9aw3YC3rDVjLeo/2rmfprHUACvgZZ5whvXr1Mm/75Cc/KbFYTJ577rkSdHiSD35/9pfle++9J6tXr1ZzovPpT39aXnjhBWlra+OOdhFY++3A9r9//345dOgQ58MD9O7dW/2LswHw+p83b57FaWu8P1asWCHr16+v0FZ2DHCkFTEuY8eOtdzOzy1vwfloX3D6F1wHODPDCX5uuQ9r2crDetZbsJ71PqxnvQFr2eqAtWzt17MUazNkfI0bN85yW48ePWTgwIHqPlJZjDmwz9H48eOVWLVu3boKbVnHAfb+wYMHS9euXTkfFQKnWrS2tsrixYtVJMVHP/pRGT58uKxdu1bC4bDj+wPwM6x84PSWt956S2655Za0+/i5VRkmTpwogUBAZTvfcccd5ilKnI/2BRFFkydPlu9///vSr18/qa+vl5NOOklef/11dT8/t9yHtaz34edQ5WE9W3lYz3oL1rLeg7Vsx61ngy5ue03lfEGctdOzZ0+Vr0MqPz/APkeYH8A5Kn9hi+xNZNhyPirHsGHDZMuWLer6hz70IXnkkUc4HxXk8OHDKj8YGefdunVLu5+fW+0LDq7edtttKt8ZjcX++c9/ys0336zeM/feey/no53Ztm2bLFq0SB3M+NWvfqVy0PFemT17trz77rucjzLAWtb78HuhsrCe9QasZ70Da1lvwVrWe7R3PUuxlhCSN5s3b1Yh2aeeeqpcddVV3HMV7qKLGAo0MMHRvY985CPy/PPPc04qBOagf//+8oUvfIFz4AE++MEPqosBiqhOnTrJ3XffLTfddFNFt60jghgpdJaGY2fKlCnqtuOPP16dDQDxXJ8rQggpN6xnvQPrWe/AWtZbsJb1Hu1dzzIGwQEo3/v27Uu7HUq5nmNLKoNxZMI+R8aRDM5Redi7d6/KZ0Ge1N/+9jczi43zURnwBYEuk5dccok88cQTKh/nH//4B+ejAmzYsEE5zeHkxOcS3iv4Igf4Fxe+TyoPcs5xuuXSpUs5H+0MXv/47jAKW+O7GvnnOODE90d59jlrWW/D131lYD3rLVjPegPWstUBa9mOVc9SrHUAGRP2PAns8K1bt6blT5D2x5gD+xzhb+SGIJuQuEtLS4ucc8456n2ApiXdu3fnfHgIfGHU1dXJmjVrZNSoUeq60/sD8DPMfZCTjbzsD3/4w+pLGhc4nQFc6GhYyc8tb8H5aP+8tUwge5ufW+7DWtb78HOo/WE9621Yz1YO1rLVB79Dar+epVjrANyDc+bMUUdeDR577DHlJMSplKSyQIwdM2aMmhOdP//5z3L66acrwZa4RyQSUUfx0MHwmWeeUY3FOB/eAqHmCDPHe6OhoUEJhDg9w/7+QLg5TtMg7jJt2jTlbNYvON0e3HfffSrTiJ9blQdZ22g2hqPfnI/2BQf7du3apVzNBvgbDRKPPvpofm6VAday3oefQ+0L61nvw3q2crCWrQ5Yy3awejZO0ti9e3d84MCB8ZkzZ8afffbZ+EMPPRTv0aNH/IorruDeagcOHToUf+yxx9Rl1qxZ8aFDh5p/Nzc3q2UeeeSRuM/ni99yyy3xefPmxS+//PJ4MBiMv/rqq5wjl7n00kvj+Ki466674vPnz7dcWltbOR/tzPnnnx//wQ9+EP/Xv/4VnzNnjpqXAQMGxKdMmRJva2tTy7z00kvxQCAQ//KXv6zeH3if4P3yl7/8pb03t8OC/Y73zYIFC8zb+LnVfsyePTt+5513xp988kl1ueyyy9R74Otf/zrnowJEo9H4jBkz4qNGjYo/+uij8SeeeCJ+/PHHx3v37h3funWrWoafW+7CWrbysJ71FqxnvQXrWe/DWraysJb1Hu1dz1KszcA777wTP/300+OdOnWK9+vXL37NNdeYQggpL+vWrVMih9MFL3iDBx54ID569Oh4fX19fPLkyUq8Iu4zbNiwjPOBueJ8tC933HFHfNq0afGuXbvGO3fuHJ84cWL829/+dnzfvn2W5fDlgfcF3h94nzz44IPtvKUdG6cCF/Bzq3246qqr4kceeaT6Dm9oaFDvhXvuuScei8U4HxVix44d8QsvvDDevXt3NS/4EbJ8+XLLMvzcchfWspWF9ay3YD3rLVjPeh/WspWFtaw3ac961of/uWULJoQQQgghhBBCCCGEEFIczKwlhBBCCCGEEEIIIYQQD0CxlhBCCCGEEEIIIYQQQjwAxVpCCCGEEEIIIYQQQgjxABRrCSGEEEIIIYQQQgghxANQrCWEEEIIIYQQQgghhBAPQLGWEEIIIYQQQgghhBBCPADFWkIIIYQQQgghhBBCCPEAFGsJIYQQQgghhBBCCCHEA1CsJYR0KL7zne+Iz+dLu0yaNKnSm1bVHHvssfLLX/7S/Pvzn/98xn2a7T4nXnnlFenTp4/s37/flW0lhBBCCKlmWM+WB9azhBCvEKz0BhBCSHvTqVMnmTt3ruW2pqYmTkSR/OMf/5D169fLxRdfXJZ9eNJJJ8nEiRPlrrvukttuu60sYxBCCCGEVBOsZ92F9SwhxEtQrCWEdDj8fr8cf/zxeS3b0tKiimGSmZ/97Gfymc98pqz76Ytf/KJcc801cvPNN0tdXR2ngxBCCCEdGtaz7sJ6lhDiJRiDQAghGohEuPPOO+X666+XAQMGSL9+/dTt8XhcfvKTn8iYMWOkoaFBRo4cKXfffXfavnviiSdk3Lhx0tjYqE6lWrBggfTo0UOdrmYwfPhw+epXv2p53OOPP67GhkPVoK2tTb71rW/JsGHD1Jjjx4+XRx55xDFS4MUXX5Tp06dL586d1biLFi2yLBeLxeSnP/2pWgfWhed2wQUXyL59++Stt95SYz///POWx0SjURk8eLBcd911GV8j69atk5deekk+8YlPFP06mjVrlmM0BW43OO+882Tv3r3y1FNPFT0OIYQQQkhHgPVsCtazhJBqhM5aQkiHJBKJWP4OBAKqsAX33HOPct4++OCD5nJf+9rX5IEHHpCbbrpJjjvuOHn11VeVoAs36eWXX66WWbp0qXz84x+Xs846SwmjEDI/+clPKtG1GPDYl19+WW699VYlskKovPDCC6Vnz55qDINt27bJVVddJTfccIN0795dbrzxRjn//PNl7dq1pgv1yiuvlPvvv1++8Y1vyJlnnikHDhyQJ598Ug4ePCiTJ09Wz+mhhx5S9xk888wz8v7772eNN3jhhRckGAwqgTif/WwI3zq/+tWvLHm0W7Zskc9+9rMyduxY87Zu3bqpKAQIyueee27e+5AQQgghpFZhPct6lhBSo8QJIaQDceutt0IpTLv88Y9/VPfj+oQJE+KxWMx8zJo1a+I+ny9+//33W9Z1/fXXxwcMGBCPRqPq70996lPxESNGxCORiLnMgw8+qNaJcQ2GDRsWv+KKKyzr+sc//qGWW7dunfp77ty56u9nn33WshzGmDFjhvn3RRddpLbt7bffNm+bN2+eeuxLL72k/l61apVa5vbbb8+4Xx544IF4Y2NjfPfu3eZtH/vYx+Innnhi1v35pS99KT5x4sS027FdTvvZuDg9BrS0tMSPOeaY+NSpU+OHDh1KWyfuI4QQQgjpyLCedYb1LCGkVmAMAiGkwwE3LOIJ9MvZZ59t3g/XquGyBXPmzFH/wjULB4NxOeOMM5SrddOmTer+119/XT7ykY8ol65BsfEAzz33nPTq1UtOO+00y5hwvi5ZskSd0mUwaNAg5To1mDBhgvp38+bN6l80U4MOjdzXTHz6059WLlwjZmHnzp3yr3/9K+tjwNatW6Vv376O940aNSptP+NyzjnnZFzfJZdcohzJiIWwN33r06ePGo8QQgghpKPDejYd1rOEkFqBMQiEkA7ZkOGYY47JeH///v0tf0O4hNgJsdAJiLXIlYWQaGTc6qfvI7+2UDDm7t27MzbTwlhDhgxR15GJq1NfX6/+bW1tVf/u2rVLRRXYt00HWbdoEobohyuuuEL+9Kc/qWxbRDFkA2NgOSfwvJ32c+/evZUga+dHP/qRPProo/Lss8+qXF87GAcN3wghhBBCOjqsZ9NhPUsIqRUo1hJCiA3dVQvgcMVtyI81hFAdI1t14MCB0tzcbLkPWayGaKqLmKFQyHLbnj170saEYzVTQ61swquTOApXLrYt2+MuvfRS+c1vfiPLli2Thx9+WAm1Xbp0ybpubKfeFK1Ynn76aZW1iyZup59+uuMyaDCG50IIIYQQQrLDepb1LCGkeqFYSwghOTDEQzhUEXOQCTTZQnQAmosZUQh//etf05aDI3bFihVpsQc6iFiA0xTi8JQpU0qaI0QpoGCHAIumaJmAC3batGmqWdmbb76pGn/lAkL1vHnzStq+VatWKVcvmoqhAVomIArrTccIIYQQQkh+sJ7NDOtZQojXoFhLCCE5GDNmjIoG+NznPifXXnutHHfccRIOh2X16tVKqES+KrjhhhtkxowZct5558lXvvIVee+995RT1B6DgBzbL3/5y3LbbbfJiSeeqNyz8+fPtyyDbFoIwx/60IfkuuuuU4LtoUOHZPny5bJmzRp54IEHCtr+yy+/XG6++WYVrYBi/fDhw/Lkk0/Kd77zHRk8eLDFXYvniqL1pJNOyrluLPPd735X5eMasQyF8tGPflTlrl188cXy2muvWSIkjPxdsHDhQvnmN79Z1BiEEEIIIR0Z1rOZYT1LCPEaFGsJISQPfv7znysB8/7771fiJOIB8PcFF1xgLjN9+nR57LHHlGh7/vnny6RJk1QG6wc/+MG0Jlpr166VX//613L33XerZgh33HGH/M///I9lObhy77zzTuVw3bBhg3Tv3l2t8wtf+ELBc3bvvffKiBEj5Le//a0aE3ECM2fOlK5du1qWw3ZDrIVwmg+zZs1S60KMAYTeYoDoDU499VTL7di+F198UV1fvHix7NixQzV5I4QQQgghhcN61hnWs4QQr+GLo2sOIYSQsoEGYF//+teVi9XrPPTQQ3LZZZeppmkDBgzI6zFwuy5ZskTmzp1btu2Co3nRokVlHYMQQgghhDjDerZ0WM8SQvKFzlpCCCEqD/bdd9+V733ve/KpT30qb6EWXHPNNTJ69GjVmGzq1Kmu7000aUPswxNPPMGZIoQQQgghjrCeJYTUCv5KbwAhhJDKA9fvhz/8YRk2bJjcddddBT124MCB8rvf/U7FFJSDjRs3KhH5lFNOKcv6CSGEEEJI9cN6lhBSKzAGgRBCCCGEEEIIIYQQQjwAnbWEEEIIIYQQQgghhBDiASjWEkIIIYQQQgghhBBCiAegWEsIIYQQQgghhBBCCCEegGItIYQQQgghhBBCCCGEeACKtYQQQgghhBBCCCGEEOIBKNYSQgghhBBCCCGEEEKIB6BYSwghhBBCCCGEEEIIIR6AYi0hhBBCCCGEEEIIIYR4AIq1hBBCCCGEEEIIIYQQIpXn/wOpfGhBkGt5kQAAAABJRU5ErkJggg==", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Coefficient comparison:\n", + " IIR: 5 + 5 = 10 coefficients\n", + " FIR: 101 coefficients\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 4: FIR vs IIR Comparison\n", + "# =============================================================================\n", + "\n", + "fs = 250\n", + "cutoff = 30\n", + "\n", + "# Design both filter types\n", + "b_iir, a_iir = design_iir_filter(cutoff=cutoff, fs=fs, order=4, btype='low')\n", + "h_fir = design_fir_filter(cutoff=cutoff, fs=fs, numtaps=101, btype='low')\n", + "\n", + "# Compute frequency responses\n", + "w_iir, H_iir = freqz(b_iir, a_iir, worN=2048, fs=fs)\n", + "w_fir, H_fir = freqz(h_fir, worN=2048, fs=fs)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Magnitude comparison\n", + "axes[0].plot(w_iir, 20 * np.log10(np.abs(H_iir) + 1e-10), \n", + " color=COLORS[\"signal_1\"], linewidth=2, label=\"IIR (Butterworth, order 4)\")\n", + "axes[0].plot(w_fir, 20 * np.log10(np.abs(H_fir) + 1e-10), \n", + " color=COLORS[\"signal_2\"], linewidth=2, label=\"FIR (101 taps)\")\n", + "axes[0].axhline(-3, color=\"gray\", linestyle=\"--\", alpha=0.5)\n", + "axes[0].axvline(cutoff, color=\"gray\", linestyle=\":\", alpha=0.5)\n", + "axes[0].set_xlabel(\"Frequency (Hz)\")\n", + "axes[0].set_ylabel(\"Magnitude (dB)\")\n", + "axes[0].set_title(\"Magnitude Response\")\n", + "axes[0].set_xlim(0, 60)\n", + "axes[0].set_ylim(-80, 5)\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Phase comparison\n", + "axes[1].plot(w_iir, np.unwrap(np.angle(H_iir)), \n", + " color=COLORS[\"signal_1\"], linewidth=2, label=\"IIR (non-linear phase)\")\n", + "axes[1].plot(w_fir, np.unwrap(np.angle(H_fir)), \n", + " color=COLORS[\"signal_2\"], linewidth=2, label=\"FIR (linear phase)\")\n", + "axes[1].set_xlabel(\"Frequency (Hz)\")\n", + "axes[1].set_ylabel(\"Phase (radians)\")\n", + "axes[1].set_title(\"Phase Response\")\n", + "axes[1].set_xlim(0, 60)\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Coefficient comparison:\")\n", + "print(f\" IIR: {len(b_iir)} + {len(a_iir)} = {len(b_iir) + len(a_iir)} coefficients\")\n", + "print(f\" FIR: {len(h_fir)} coefficients\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 5: Filter Design Functions\n", + "\n", + "The `src/filtering.py` module provides two main design functions:\n", + "\n", + "**`design_iir_filter()`** - Design an IIR filter\n", + "- `cutoff`: Cutoff frequency in Hz (or tuple for bandpass)\n", + "- `fs`: Sampling frequency\n", + "- `order`: Filter order (higher = sharper transition)\n", + "- `btype`: 'low', 'high', 'band', 'bandstop'\n", + "- `ftype`: 'butter', 'cheby1', 'cheby2', 'ellip'\n", + "\n", + "**`design_fir_filter()`** - Design a FIR filter\n", + "- `cutoff`: Cutoff frequency in Hz (or tuple for bandpass)\n", + "- `fs`: Sampling frequency\n", + "- `numtaps`: Number of coefficients (should be odd)\n", + "- `btype`: 'low', 'high', 'band', 'bandstop'\n", + "- `window`: Window function ('hamming', 'hann', 'blackman')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filter Design Examples:\n", + "==================================================\n", + "\n", + "1. Lowpass 40 Hz (remove muscle artifacts):\n", + " IIR Butterworth order 4\n", + " Coefficients: b=5, a=5\n", + "\n", + "2. Highpass 0.5 Hz (remove electrode drift):\n", + " IIR Butterworth order 4\n", + " Coefficients: b=5, a=5\n", + "\n", + "3. Bandpass 8-13 Hz (alpha band):\n", + " IIR Butterworth order 4\n", + " Coefficients: b=9, a=9\n", + "\n", + "4. Bandpass 8-13 Hz (FIR, linear phase):\n", + " FIR with 201 taps (Hamming window)\n", + " Coefficients: 201\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 5: Filter Design Examples\n", + "# =============================================================================\n", + "\n", + "fs = 250 # Hz\n", + "\n", + "print(\"Filter Design Examples:\")\n", + "print(\"=\" * 50)\n", + "\n", + "# Lowpass to remove high-frequency noise\n", + "b_lp, a_lp = design_iir_filter(cutoff=40, fs=fs, order=4, btype='low')\n", + "print(f\"\\n1. Lowpass 40 Hz (remove muscle artifacts):\")\n", + "print(f\" IIR Butterworth order 4\")\n", + "print(f\" Coefficients: b={len(b_lp)}, a={len(a_lp)}\")\n", + "\n", + "# Highpass to remove slow drifts\n", + "b_hp, a_hp = design_iir_filter(cutoff=0.5, fs=fs, order=4, btype='high')\n", + "print(f\"\\n2. Highpass 0.5 Hz (remove electrode drift):\")\n", + "print(f\" IIR Butterworth order 4\")\n", + "print(f\" Coefficients: b={len(b_hp)}, a={len(a_hp)}\")\n", + "\n", + "# Bandpass for alpha band\n", + "b_alpha, a_alpha = design_iir_filter(cutoff=(8, 13), fs=fs, order=4, btype='band')\n", + "print(f\"\\n3. Bandpass 8-13 Hz (alpha band):\")\n", + "print(f\" IIR Butterworth order 4\")\n", + "print(f\" Coefficients: b={len(b_alpha)}, a={len(a_alpha)}\")\n", + "\n", + "# FIR bandpass for better phase properties\n", + "h_alpha_fir = design_fir_filter(cutoff=(8, 13), fs=fs, numtaps=201, btype='band')\n", + "print(f\"\\n4. Bandpass 8-13 Hz (FIR, linear phase):\")\n", + "print(f\" FIR with 201 taps (Hamming window)\")\n", + "print(f\" Coefficients: {len(h_alpha_fir)}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 6: Comparing IIR Filter Types\n", + "\n", + "The `design_iir_filter()` function supports four IIR filter families:\n", + "\n", + "- **Butterworth**: Maximally flat passband, smooth transition, most commonly used\n", + "- **Chebyshev Type 1**: Steeper transition, ripples in passband\n", + "- **Chebyshev Type 2**: Steeper transition, ripples in stopband\n", + "- **Elliptic**: Sharpest transition, ripples in both passband and stopband\n", + "\n", + "For EEG processing, **Butterworth** is typically preferred because the flat passband preserves relative amplitudes across frequencies." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Observations:\n", + " Butterworth: Smooth, flat passband (best for EEG)\n", + " Chebyshev Type 1: Ripples visible in passband\n", + " Chebyshev Type 2: Ripples in stopband, flat passband\n", + " Elliptic: Sharpest transition but ripples everywhere\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 6: IIR Filter Type Comparison\n", + "# =============================================================================\n", + "\n", + "fs = 250\n", + "cutoff = 30\n", + "order = 4\n", + "\n", + "filter_types = ['butter', 'cheby1', 'cheby2', 'ellip']\n", + "colors = [COLORS['signal_1'], COLORS['signal_2'], COLORS['signal_3'], COLORS['signal_4']]\n", + "labels = ['Butterworth', 'Chebyshev Type 1', 'Chebyshev Type 2', 'Elliptic']\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "\n", + "for ftype, color, label in zip(filter_types, colors, labels):\n", + " b, a = design_iir_filter(cutoff=cutoff, fs=fs, order=order, btype='low', ftype=ftype)\n", + " w, h = freqz(b, a, worN=2048, fs=fs)\n", + " ax.plot(w, 20 * np.log10(np.abs(h) + 1e-10), color=color, linewidth=2, label=label)\n", + "\n", + "ax.axhline(-3, color='gray', linestyle='--', alpha=0.5, label='-3 dB')\n", + "ax.axvline(cutoff, color='gray', linestyle=':', alpha=0.5)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Magnitude (dB)')\n", + "ax.set_title('IIR Filter Types - Magnitude Response')\n", + "ax.set_xlim(0, 60)\n", + "ax.set_ylim(-80, 5)\n", + "ax.legend(loc='lower left')\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\nObservations:\")\n", + "print(\" Butterworth: Smooth, flat passband (best for EEG)\")\n", + "print(\" Chebyshev Type 1: Ripples visible in passband\")\n", + "print(\" Chebyshev Type 2: Ripples in stopband, flat passband\")\n", + "print(\" Elliptic: Sharpest transition but ripples everywhere\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Section 7: Exercises\n", + "\n", + "### Exercise 1: Design an Alpha Band Filter\n", + "\n", + "Design both IIR and FIR bandpass filters for the alpha band (8-13 Hz) and compare their frequency responses." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 1: Alpha Band Filter\n", + "# =============================================================================\n", + "\n", + "# TODO: Uncomment and complete\n", + "# fs = 250\n", + "# \n", + "# # Design IIR bandpass for alpha\n", + "# b_alpha_iir, a_alpha_iir = design_iir_filter(...)\n", + "# \n", + "# # Design FIR bandpass for alpha\n", + "# h_alpha_fir = design_fir_filter(...)\n", + "# \n", + "# # Plot and compare frequency responses\n", + "# ..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Exercise 2: Effect of Filter Order\n", + "\n", + "Design lowpass filters with orders 2, 4, 6, and 8. How does the order affect the transition band width?" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 2: Filter Order Effect\n", + "# =============================================================================\n", + "\n", + "# TODO: Uncomment and complete\n", + "# fs = 250\n", + "# cutoff = 30\n", + "# orders = [2, 4, 6, 8]\n", + "# \n", + "# for order in orders:\n", + "# b, a = design_iir_filter(cutoff=cutoff, fs=fs, order=order, btype='low')\n", + "# # Compute and plot frequency response\n", + "# ..." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "Key takeaways from this notebook:\n", + "\n", + "- **Filter types**: Lowpass, highpass, bandpass, and notch filters serve different purposes in EEG preprocessing\n", + "- **Filter characteristics**: Cutoff frequency, transition band, and filter order determine filter behavior\n", + "- **FIR vs IIR**: FIR filters have linear phase (important for timing), IIR filters are more efficient\n", + "- **IIR families**: Butterworth is preferred for EEG due to its flat passband\n", + "\n", + "### Functions from `src/filtering.py`\n", + "\n", + "| Function | Purpose |\n", + "|----------|----------|\n", + "| `design_iir_filter()` | Design IIR filter (Butterworth, Chebyshev, Elliptic) |\n", + "| `design_fir_filter()` | Design FIR filter using window method |\n", + "\n", + "### Next Steps\n", + "\n", + "In the next notebook (A04b: Applied Filtering), we will learn how to apply these filters to actual signals, handle edge effects, and use zero-phase filtering to preserve timing information." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## External Resources\n", + "\n", + "### Video Overview\n", + "\n", + "- **[Filter Fundamentals - Video Overview](https://notebooklm.google.com/notebook/7ff28d85-f955-4901-a0d2-8fab0d77a0e4?artifactId=d48177da-5a5f-4c56-8ce4-59e23bb20406)** - AI-generated video summary of this notebook key concepts\n", + "\n", + "### Practice and Review\n", + "\n", + "- [**Quiz: Filter Fundamentals**](https://notebooklm.google.com/notebook/7ff28d85-f955-4901-a0d2-8fab0d77a0e4?artifactId=801ae525-4306-46a0-9d3c-e9c9cad0c8a5) - Test your knowledge\n", + "- [**Flashcards: Filter Fundamentals**](https://notebooklm.google.com/notebook/7ff28d85-f955-4901-a0d2-8fab0d77a0e4?artifactId=43b0f20f-147e-456a-b323-02586e5a749c) - Review key concepts\n", + "\n", + "### Documentation\n", + "- [SciPy Signal Processing](https://docs.scipy.org/doc/scipy/reference/signal.html) - Comprehensive filter design functions\n", + "- [MNE-Python Filtering](https://mne.tools/stable/auto_tutorials/preprocessing/25_background_filtering.html) - EEG-specific filtering guide\n", + "\n", + "### Scientific Papers\n", + "- [Widmann et al. (2015)](https://doi.org/10.1016/j.jneumeth.2014.08.002) - Digital filter design for electrophysiological data\n", + "\n", + "### Videos\n", + "- [3Blue1Brown - But what is a Fourier series?](https://www.youtube.com/watch?v=r6sGWTCMz2k) - Visual intuition for frequency decomposition" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Discussion Questions\n", + "\n", + "1. **Filter selection**: When would you choose an IIR filter over a FIR filter for EEG analysis? What about the reverse?\n", + "\n", + "2. **Phase distortion**: Why is linear phase important for connectivity analysis between two participants?\n", + "\n", + "3. **Order trade-offs**: What happens if you use a very high filter order? What are the potential downsides?\n", + "\n", + "4. **Real-world constraints**: In real-time EEG applications, why might you prefer IIR filters despite their phase distortion?\n", + "\n", + "5. **Hyperscanning context**: If you are comparing alpha-band activity between two participants, which filter characteristics matter most?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04b_applied_filtering.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04b_applied_filtering.ipynb new file mode 100644 index 0000000..4bf5fbd --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04b_applied_filtering.ipynb @@ -0,0 +1,1436 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "6f38d38e", + "metadata": {}, + "source": [ + "# A04b: Applied Filtering\n", + "\n", + "**Duration**: ~45 minutes\n", + "\n", + "**Prerequisites**: \n", + "- [A01: Signals and Sampling](A01_signals_and_sampling.ipynb)\n", + "- [A02: Frequency Domain](A02_frequency_domain.ipynb)\n", + "- [A04a: Filter Fundamentals](A04a_filter_fundamentals.ipynb)\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "1. **Apply filters** to time-series signals using convolution and SciPy functions\n", + "2. **Understand edge effects** and transient artifacts from filtering\n", + "3. **Implement zero-phase filtering** using forward-backward filtering (filtfilt)\n", + "4. **Remove powerline noise** using notch filters and their harmonics\n", + "5. **Build a complete EEG preprocessing pipeline** with appropriate filtering stages\n", + "6. **Use MNE-Python** for filtering neurophysiological data" + ] + }, + { + "cell_type": "markdown", + "id": "1a08620a", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Applying Filters to Signals](#section-2-applying-filters-to-signals)\n", + "3. [Edge Effects and Transients](#section-3-edge-effects-and-transients)\n", + "4. [Zero-Phase Filtering](#section-4-zero-phase-filtering)\n", + "5. [Notch Filtering for Powerline Noise](#section-5-notch-filtering-for-powerline-noise)\n", + "6. [Common EEG Filtering Pipeline](#section-6-common-eeg-filtering-pipeline)\n", + "7. [MNE-Python Integration](#section-7-mne-python-integration)\n", + "8. [Exercises](#section-8-exercises)\n", + "9. [Summary](#summary)\n", + "10. [External Resources](#external-resources)\n", + "11. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2714b53b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumPy version: 2.3.5\n", + "Source path: /Users/remyramadour/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Tuple, Optional\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy.signal import filtfilt, lfilter, sosfilt, sosfiltfilt\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parents[2]\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from src.colors import COLORS\n", + "\n", + "# Matplotlib configuration\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"figure.figsize\"] = (12, 5)\n", + "plt.rcParams[\"font.size\"] = 11\n", + "\n", + "print(f\"NumPy version: {np.__version__}\")\n", + "print(f\"Source path: {src_path}\")" + ] + }, + { + "cell_type": "markdown", + "id": "9c775417", + "metadata": {}, + "source": [ + "## Section 1: Introduction\n", + "\n", + "In the previous notebook (A04a), we learned how to **design** filters. Now we focus on **applying** them to actual signals.\n", + "\n", + "Key challenges when applying filters:\n", + "- **Edge effects**: Filters need \"warm-up\" time, causing artifacts at signal boundaries\n", + "- **Phase distortion**: IIR filters shift different frequencies by different amounts\n", + "- **Powerline noise**: 50 Hz (Europe) or 60 Hz (US) interference is ubiquitous\n", + "- **Real-time vs offline**: Different constraints for different applications\n", + "\n", + "For hyperscanning, **zero-phase filtering** is particularly important because we need to preserve the exact timing relationships between two participants' brain signals." + ] + }, + { + "cell_type": "markdown", + "id": "f2c5fe24", + "metadata": {}, + "source": [ + "## Section 2: Applying Filters to Signals\n", + "\n", + "Once we have filter coefficients, we need to apply them to our signal. The basic approach uses **convolution** (FIR) or **recursive filtering** (IIR).\n", + "\n", + "Let's first create helper functions for filter design and application:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1cadb947", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u2713 Filter design functions defined\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 2: Filter Design Functions\n", + "# =============================================================================\n", + "\n", + "from scipy.signal import butter, iirnotch, firwin\n", + "\n", + "\n", + "def design_iir_filter(\n", + " cutoff: float | Tuple[float, float],\n", + " fs: float,\n", + " order: int = 4,\n", + " btype: str = \"low\",\n", + " ftype: str = \"butter\",\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"\n", + " Design an IIR filter.\n", + "\n", + " Parameters\n", + " ----------\n", + " cutoff : float or tuple of float\n", + " Cutoff frequency in Hz. For bandpass/bandstop, provide (low, high).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " order : int, default=4\n", + " Filter order.\n", + " btype : str, default='low'\n", + " Filter type: 'low', 'high', 'band', 'bandstop'.\n", + " ftype : str, default='butter'\n", + " IIR filter family: 'butter', 'cheby1', 'cheby2', 'ellip'.\n", + "\n", + " Returns\n", + " -------\n", + " b, a : ndarray\n", + " Numerator and denominator coefficients.\n", + " \"\"\"\n", + " nyq = fs / 2\n", + " if isinstance(cutoff, (list, tuple)):\n", + " Wn = [c / nyq for c in cutoff]\n", + " else:\n", + " Wn = cutoff / nyq\n", + "\n", + " if ftype == \"butter\":\n", + " b, a = butter(order, Wn, btype=btype)\n", + " else:\n", + " from scipy.signal import iirfilter\n", + " b, a = iirfilter(order, Wn, btype=btype, ftype=ftype)\n", + "\n", + " return b, a\n", + "\n", + "\n", + "def design_fir_filter(\n", + " cutoff: float | Tuple[float, float],\n", + " fs: float,\n", + " numtaps: int = 101,\n", + " btype: str = \"low\",\n", + " window: str = \"hamming\",\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Design a FIR filter using the window method.\n", + "\n", + " Parameters\n", + " ----------\n", + " cutoff : float or tuple of float\n", + " Cutoff frequency in Hz.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " numtaps : int, default=101\n", + " Number of filter coefficients (should be odd).\n", + " btype : str, default='low'\n", + " Filter type: 'low', 'high', 'band', 'bandstop'.\n", + " window : str, default='hamming'\n", + " Window function.\n", + "\n", + " Returns\n", + " -------\n", + " h : ndarray\n", + " FIR filter coefficients.\n", + " \"\"\"\n", + " nyq = fs / 2\n", + " if isinstance(cutoff, (list, tuple)):\n", + " normalized_cutoff = [c / nyq for c in cutoff]\n", + " else:\n", + " normalized_cutoff = cutoff / nyq\n", + "\n", + " pass_zero = btype in [\"low\", \"bandstop\"]\n", + " h = firwin(numtaps, normalized_cutoff, window=window, pass_zero=pass_zero)\n", + "\n", + " return h\n", + "\n", + "\n", + "print(\"\u2713 Filter design functions defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "6419551f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u2713 apply_filter() function defined\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 2: Apply Filter Function\n", + "# =============================================================================\n", + "\n", + "\n", + "def apply_filter(\n", + " signal: NDArray[np.floating],\n", + " b: NDArray[np.floating],\n", + " a: NDArray[np.floating] | None = None,\n", + " zero_phase: bool = True,\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Apply a filter to a signal.\n", + "\n", + " Parameters\n", + " ----------\n", + " signal : ndarray\n", + " Input signal to filter.\n", + " b : ndarray\n", + " Numerator coefficients (or FIR coefficients).\n", + " a : ndarray or None, default=None\n", + " Denominator coefficients. If None, assumes FIR filter (a=[1]).\n", + " zero_phase : bool, default=True\n", + " If True, use zero-phase filtering (filtfilt).\n", + " If False, use causal filtering (lfilter).\n", + "\n", + " Returns\n", + " -------\n", + " filtered : ndarray\n", + " Filtered signal.\n", + " \"\"\"\n", + " if a is None:\n", + " a = np.array([1.0])\n", + "\n", + " if zero_phase:\n", + " # Zero-phase filtering: forward-backward filtering\n", + " filtered = filtfilt(b, a, signal)\n", + " else:\n", + " # Causal filtering: introduces phase delay\n", + " filtered = lfilter(b, a, signal)\n", + "\n", + " return filtered\n", + "\n", + "\n", + "print(\"\u2713 apply_filter() function defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b265c663", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\ud83d\udca1 The filter isolated the 10 Hz alpha component, removing theta, gamma, and noise.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 2: Basic Filter Application Demo\n", + "# =============================================================================\n", + "\n", + "# Create a test signal with multiple frequency components\n", + "fs = 250 # Hz\n", + "duration = 2 # seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Signal: 5 Hz (theta) + 10 Hz (alpha) + 30 Hz (gamma) + noise\n", + "np.random.seed(42)\n", + "signal = (\n", + " 1.0 * np.sin(2 * np.pi * 5 * t) + # Theta\n", + " 1.5 * np.sin(2 * np.pi * 10 * t) + # Alpha (strongest)\n", + " 0.5 * np.sin(2 * np.pi * 30 * t) + # Gamma\n", + " 0.3 * np.random.randn(len(t)) # Noise\n", + ")\n", + "\n", + "# Design and apply a bandpass filter for alpha (8-13 Hz)\n", + "b, a = design_iir_filter(cutoff=(8, 13), fs=fs, order=4, btype=\"band\")\n", + "filtered = apply_filter(signal, b, a, zero_phase=True)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6), sharex=True)\n", + "\n", + "axes[0].plot(t, signal, color=COLORS[\"signal_1\"], linewidth=0.8, alpha=0.8)\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Original Signal (5 Hz + 10 Hz + 30 Hz + noise)\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t, filtered, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Filtered Signal (Alpha band: 8-13 Hz)\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\ud83d\udca1 The filter isolated the 10 Hz alpha component, removing theta, gamma, and noise.\")" + ] + }, + { + "cell_type": "markdown", + "id": "96528f67", + "metadata": {}, + "source": [ + "## Section 3: Edge Effects and Transients\n", + "\n", + "**Edge effects** (or filter transients) occur at the beginning and end of a filtered signal because the filter doesn't have enough past/future samples to work with.\n", + "\n", + "These artifacts can be particularly problematic for:\n", + "- Short signals or epochs\n", + "- Event-related analyses where timing matters\n", + "- Connectivity measures at epoch boundaries" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ea28bd21", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\ud83d\udca1 Higher filter order = longer edge effects (more samples affected)\n", + "\ud83d\udca1 Zero-phase filtering affects both start AND end of the signal\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 3: Demonstrating Edge Effects\n", + "# =============================================================================\n", + "\n", + "# Create a short signal\n", + "fs = 250\n", + "duration = 1 # Short duration to show edge effects clearly\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Pure 10 Hz sine wave\n", + "signal = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Apply lowpass filter with different orders\n", + "orders = [2, 4, 8]\n", + "colors = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"]]\n", + "\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6))\n", + "\n", + "# Show causal filtering (lfilter) - has phase delay AND edge effects\n", + "axes[0].plot(t, signal, 'k--', linewidth=1, alpha=0.5, label=\"Original\")\n", + "for order, color in zip(orders, colors):\n", + " b, a = design_iir_filter(cutoff=30, fs=fs, order=order, btype=\"low\")\n", + " filtered_causal = lfilter(b, a, signal)\n", + " axes[0].plot(t, filtered_causal, color=color, linewidth=1.5, label=f\"Order {order}\")\n", + "\n", + "axes[0].axvspan(0, 0.1, alpha=0.2, color=\"red\", label=\"Edge region\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Causal Filtering (lfilter) \u2014 Shows Edge Effects and Phase Delay\")\n", + "axes[0].legend(loc=\"upper right\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "axes[0].set_xlim(0, duration)\n", + "\n", + "# Show zero-phase filtering (filtfilt) - no phase delay but still has edge effects\n", + "axes[1].plot(t, signal, 'k--', linewidth=1, alpha=0.5, label=\"Original\")\n", + "for order, color in zip(orders, colors):\n", + " b, a = design_iir_filter(cutoff=30, fs=fs, order=order, btype=\"low\")\n", + " filtered_zerophase = filtfilt(b, a, signal)\n", + " axes[1].plot(t, filtered_zerophase, color=color, linewidth=1.5, label=f\"Order {order}\")\n", + "\n", + "axes[1].axvspan(0, 0.05, alpha=0.2, color=\"red\")\n", + "axes[1].axvspan(duration-0.05, duration, alpha=0.2, color=\"red\", label=\"Edge regions\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Zero-Phase Filtering (filtfilt) \u2014 No Phase Delay, Symmetric Edge Effects\")\n", + "axes[1].legend(loc=\"upper right\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "axes[1].set_xlim(0, duration)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\ud83d\udca1 Higher filter order = longer edge effects (more samples affected)\")\n", + "print(\"\ud83d\udca1 Zero-phase filtering affects both start AND end of the signal\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "7bd5ce90", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filter: Highpass 1 Hz, order 4\n", + "Estimated transient: 750 samples = 3.00 seconds\n", + "\n", + "\ud83d\udca1 Strategy: Pad signal before filtering, then trim the edges\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 3: Strategies for Handling Edge Effects\n", + "# =============================================================================\n", + "\n", + "\n", + "def estimate_transient_samples(order: int, fs: float, cutoff: float) -> int:\n", + " \"\"\"\n", + " Estimate the number of samples affected by filter transients.\n", + "\n", + " Parameters\n", + " ----------\n", + " order : int\n", + " Filter order.\n", + " fs : float\n", + " Sampling frequency.\n", + " cutoff : float\n", + " Cutoff frequency (lowest for bandpass).\n", + "\n", + " Returns\n", + " -------\n", + " n_samples : int\n", + " Estimated number of transient samples.\n", + " \"\"\"\n", + " # Rule of thumb: ~3 cycles of the lowest frequency in the passband\n", + " n_cycles = 3\n", + " period = 1 / cutoff\n", + " transient_time = n_cycles * period\n", + " n_samples = int(np.ceil(transient_time * fs))\n", + "\n", + " # Also consider filter order (higher order = longer settling)\n", + " n_samples = max(n_samples, order * 10)\n", + "\n", + " return n_samples\n", + "\n", + "\n", + "# Example\n", + "cutoff = 1 # Hz (highpass at 1 Hz has long transients)\n", + "order = 4\n", + "fs = 250\n", + "\n", + "n_transient = estimate_transient_samples(order, fs, cutoff)\n", + "transient_time = n_transient / fs\n", + "\n", + "print(f\"Filter: Highpass {cutoff} Hz, order {order}\")\n", + "print(f\"Estimated transient: {n_transient} samples = {transient_time:.2f} seconds\")\n", + "print(f\"\\n\ud83d\udca1 Strategy: Pad signal before filtering, then trim the edges\")" + ] + }, + { + "cell_type": "markdown", + "id": "09f2dbdf", + "metadata": {}, + "source": [ + "## Section 4: Zero-Phase Filtering\n", + "\n", + "**Zero-phase filtering** (using `filtfilt`) applies the filter twice: once forward, once backward. This:\n", + "- Eliminates phase distortion (all frequencies are shifted by 0\u00b0)\n", + "- Doubles the effective filter order (sharper cutoff)\n", + "- Creates symmetric edge effects at both ends\n", + "\n", + "For hyperscanning, zero-phase filtering is essential because we need to preserve the exact timing relationships between participants' brain signals." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "1434e3fd", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\ud83d\udca1 Causal filtering DELAYS the signal \u2014 the filtered burst appears LATER\n", + "\ud83d\udca1 Zero-phase filtering preserves timing \u2014 essential for connectivity analysis\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 4: Causal vs Zero-Phase Filtering\n", + "# =============================================================================\n", + "\n", + "# Create a signal with a clear event (sudden change)\n", + "fs = 250\n", + "duration = 2\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Signal with a \"burst\" of alpha activity\n", + "signal = np.zeros_like(t)\n", + "burst_start = 0.5\n", + "burst_end = 1.0\n", + "burst_mask = (t >= burst_start) & (t <= burst_end)\n", + "signal[burst_mask] = np.sin(2 * np.pi * 10 * t[burst_mask]) # 10 Hz burst\n", + "\n", + "# Apply bandpass filter both ways\n", + "b, a = design_iir_filter(cutoff=(8, 13), fs=fs, order=4, btype=\"band\")\n", + "\n", + "filtered_causal = lfilter(b, a, signal)\n", + "filtered_zerophase = filtfilt(b, a, signal)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "\n", + "ax.axvspan(burst_start, burst_end, alpha=0.15, color=\"gray\", label=\"True burst location\")\n", + "ax.plot(t, signal, color=\"gray\", linewidth=1, alpha=0.5, label=\"Original\")\n", + "ax.plot(t, filtered_causal, color=COLORS[\"signal_1\"], linewidth=1.5, label=\"Causal (lfilter)\")\n", + "ax.plot(t, filtered_zerophase, color=COLORS[\"signal_2\"], linewidth=1.5, label=\"Zero-phase (filtfilt)\")\n", + "\n", + "ax.axvline(burst_start, color=\"black\", linestyle=\"--\", alpha=0.3)\n", + "ax.axvline(burst_end, color=\"black\", linestyle=\"--\", alpha=0.3)\n", + "\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Amplitude\")\n", + "ax.set_title(\"Causal vs Zero-Phase Filtering \u2014 Effect on Event Timing\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\ud83d\udca1 Causal filtering DELAYS the signal \u2014 the filtered burst appears LATER\")\n", + "print(\"\ud83d\udca1 Zero-phase filtering preserves timing \u2014 essential for connectivity analysis\")" + ] + }, + { + "cell_type": "markdown", + "id": "b9430ec1", + "metadata": {}, + "source": [ + "## Section 5: Notch Filtering for Powerline Noise\n", + "\n", + "**Powerline interference** at 50 Hz (Europe, Asia) or 60 Hz (Americas) is one of the most common artifacts in EEG. Notch filters remove this narrow-band noise while preserving other frequencies." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "64da3598", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u2713 Notch filter functions defined\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 5: Notch Filter Functions\n", + "# =============================================================================\n", + "\n", + "\n", + "def notch_filter(\n", + " signal: NDArray[np.floating],\n", + " freq: float,\n", + " fs: float,\n", + " quality: float = 30.0,\n", + " zero_phase: bool = True,\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Apply a notch filter to remove a specific frequency.\n", + "\n", + " Parameters\n", + " ----------\n", + " signal : ndarray\n", + " Input signal.\n", + " freq : float\n", + " Frequency to remove (Hz).\n", + " fs : float\n", + " Sampling frequency.\n", + " quality : float, default=30.0\n", + " Quality factor. Higher = narrower notch.\n", + " zero_phase : bool, default=True\n", + " Use zero-phase filtering.\n", + "\n", + " Returns\n", + " -------\n", + " filtered : ndarray\n", + " Signal with notch applied.\n", + " \"\"\"\n", + " b, a = iirnotch(freq, quality, fs)\n", + "\n", + " if zero_phase:\n", + " return filtfilt(b, a, signal)\n", + " else:\n", + " return lfilter(b, a, signal)\n", + "\n", + "\n", + "def notch_filter_harmonics(\n", + " signal: NDArray[np.floating],\n", + " base_freq: float,\n", + " fs: float,\n", + " n_harmonics: int = 3,\n", + " quality: float = 30.0,\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Apply notch filters at a frequency and its harmonics.\n", + "\n", + " Parameters\n", + " ----------\n", + " signal : ndarray\n", + " Input signal.\n", + " base_freq : float\n", + " Base frequency (e.g., 50 or 60 Hz).\n", + " fs : float\n", + " Sampling frequency.\n", + " n_harmonics : int, default=3\n", + " Number of harmonics to remove (including base).\n", + " quality : float, default=30.0\n", + " Quality factor for notch filters.\n", + "\n", + " Returns\n", + " -------\n", + " filtered : ndarray\n", + " Signal with notches at base_freq, 2*base_freq, etc.\n", + " \"\"\"\n", + " result = signal.copy()\n", + " nyq = fs / 2\n", + "\n", + " for i in range(1, n_harmonics + 1):\n", + " notch_freq = base_freq * i\n", + " if notch_freq < nyq: # Only if below Nyquist\n", + " result = notch_filter(result, notch_freq, fs, quality)\n", + "\n", + " return result\n", + "\n", + "\n", + "print(\"\u2713 Notch filter functions defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "2b664ff1", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Section 5: Notch Filtering Demo\n", + "# =============================================================================\n", + "\n", + "# Create a signal with powerline interference\n", + "fs = 500 # Higher fs to capture 50 Hz properly\n", + "duration = 2\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# EEG-like signal with 50 Hz interference\n", + "np.random.seed(42)\n", + "eeg_clean = (\n", + " 1.0 * np.sin(2 * np.pi * 10 * t) + # Alpha\n", + " 0.5 * np.sin(2 * np.pi * 20 * t) + # Beta\n", + " 0.2 * np.random.randn(len(t)) # Neural noise\n", + ")\n", + "\n", + "# Add powerline interference (50 Hz and its harmonic at 100 Hz)\n", + "powerline = (\n", + " 2.0 * np.sin(2 * np.pi * 50 * t) + # 50 Hz\n", + " 0.5 * np.sin(2 * np.pi * 100 * t) # 100 Hz harmonic\n", + ")\n", + "eeg_noisy = eeg_clean + powerline\n", + "\n", + "# Apply notch filter\n", + "eeg_notched = notch_filter_harmonics(eeg_noisy, base_freq=50, fs=fs, n_harmonics=2)\n", + "\n", + "# Plot time domain\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8), sharex=True)\n", + "\n", + "axes[0].plot(t, eeg_clean, color=COLORS[\"signal_1\"], linewidth=0.8)\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Clean EEG Signal\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t, eeg_noisy, color=COLORS[\"signal_2\"], linewidth=0.8)\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"EEG + Powerline Interference (50 Hz + 100 Hz)\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "axes[2].plot(t, eeg_notched, color=COLORS[\"signal_3\"], linewidth=0.8)\n", + "axes[2].set_xlabel(\"Time (s)\")\n", + "axes[2].set_ylabel(\"Amplitude\")\n", + "axes[2].set_title(\"After Notch Filtering (50 Hz + 100 Hz removed)\")\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "plt.xlim(0, 0.5) # Zoom to see detail\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6191f439", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\ud83d\udca1 The notch filter created 'notches' at 50 Hz and 100 Hz, removing the interference.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 5: Frequency Domain View of Notch Filtering\n", + "# =============================================================================\n", + "\n", + "from scipy.fft import fft, fftfreq\n", + "\n", + "# Compute spectra\n", + "n = len(t)\n", + "freqs = fftfreq(n, 1/fs)[:n//2]\n", + "\n", + "spectrum_noisy = np.abs(fft(eeg_noisy))[:n//2] * 2 / n\n", + "spectrum_notched = np.abs(fft(eeg_notched))[:n//2] * 2 / n\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "\n", + "ax.semilogy(freqs, spectrum_noisy, color=COLORS[\"signal_1\"], linewidth=1, alpha=0.7, label=\"Before notch\")\n", + "ax.semilogy(freqs, spectrum_notched, color=COLORS[\"signal_2\"], linewidth=1.5, label=\"After notch\")\n", + "\n", + "ax.axvline(50, color=\"red\", linestyle=\"--\", alpha=0.5, label=\"50 Hz\")\n", + "ax.axvline(100, color=\"red\", linestyle=\"--\", alpha=0.5, label=\"100 Hz\")\n", + "\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"Amplitude (log scale)\")\n", + "ax.set_title(\"Spectrum Before and After Notch Filtering\")\n", + "ax.set_xlim(0, 150)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\ud83d\udca1 The notch filter created 'notches' at 50 Hz and 100 Hz, removing the interference.\")" + ] + }, + { + "cell_type": "markdown", + "id": "e895a0f4", + "metadata": {}, + "source": [ + "## Section 6: Common EEG Filtering Pipeline\n", + "\n", + "A typical EEG preprocessing pipeline includes multiple filtering steps in a specific order:\n", + "\n", + "1. **Notch filter** (50/60 Hz) \u2014 Remove powerline interference\n", + "2. **Highpass filter** (0.1-1 Hz) \u2014 Remove slow drifts\n", + "3. **Lowpass filter** (40-100 Hz) \u2014 Remove high-frequency noise\n", + "\n", + "Or combined as a single **bandpass filter** after the notch." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "303fc6c3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u2713 preprocess_eeg() function defined\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 6: Complete Filtering Pipeline\n", + "# =============================================================================\n", + "\n", + "\n", + "def preprocess_eeg(\n", + " signal: NDArray[np.floating],\n", + " fs: float,\n", + " highpass: float = 0.5,\n", + " lowpass: float = 40.0,\n", + " notch_freq: Optional[float] = 50.0,\n", + " notch_harmonics: int = 2,\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Apply a standard EEG preprocessing pipeline.\n", + "\n", + " Parameters\n", + " ----------\n", + " signal : ndarray\n", + " Raw EEG signal.\n", + " fs : float\n", + " Sampling frequency.\n", + " highpass : float, default=0.5\n", + " Highpass cutoff frequency.\n", + " lowpass : float, default=40.0\n", + " Lowpass cutoff frequency.\n", + " notch_freq : float or None, default=50.0\n", + " Powerline frequency (50 or 60 Hz). None to skip.\n", + " notch_harmonics : int, default=2\n", + " Number of harmonics to notch.\n", + "\n", + " Returns\n", + " -------\n", + " preprocessed : ndarray\n", + " Preprocessed signal.\n", + " \"\"\"\n", + " result = signal.copy()\n", + "\n", + " # Step 1: Notch filter (if requested)\n", + " if notch_freq is not None:\n", + " result = notch_filter_harmonics(\n", + " result, notch_freq, fs, n_harmonics=notch_harmonics\n", + " )\n", + "\n", + " # Step 2: Bandpass filter\n", + " b, a = design_iir_filter(\n", + " cutoff=(highpass, lowpass), fs=fs, order=4, btype=\"band\"\n", + " )\n", + " result = filtfilt(b, a, result)\n", + "\n", + " return result\n", + "\n", + "\n", + "print(\"\u2713 preprocess_eeg() function defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "3ae1e7df", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\ud83d\udca1 The preprocessing removed slow drifts, powerline noise, and high-frequency artifacts.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 6: Full Pipeline Demo\n", + "# =============================================================================\n", + "\n", + "# Create a realistic noisy EEG signal\n", + "fs = 500\n", + "duration = 5\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Neural activity (alpha + theta)\n", + "neural = (\n", + " 1.0 * np.sin(2 * np.pi * 10 * t) + # Alpha\n", + " 0.5 * np.sin(2 * np.pi * 5 * t) + # Theta\n", + " 0.3 * np.random.randn(len(t)) # Broadband neural noise\n", + ")\n", + "\n", + "# Artifacts\n", + "slow_drift = 2.0 * np.sin(2 * np.pi * 0.1 * t) # Slow drift (0.1 Hz)\n", + "powerline = 1.5 * np.sin(2 * np.pi * 50 * t) # 50 Hz interference\n", + "high_freq = 0.5 * np.sin(2 * np.pi * 80 * t) # High-freq noise\n", + "\n", + "raw_eeg = neural + slow_drift + powerline + high_freq\n", + "\n", + "# Apply preprocessing\n", + "clean_eeg = preprocess_eeg(raw_eeg, fs, highpass=0.5, lowpass=40, notch_freq=50)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6), sharex=True)\n", + "\n", + "axes[0].plot(t, raw_eeg, color=COLORS[\"signal_1\"], linewidth=0.5)\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Raw EEG (drift + 50 Hz + high-freq noise)\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t, clean_eeg, color=COLORS[\"signal_2\"], linewidth=0.8)\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Preprocessed EEG (0.5-40 Hz bandpass + 50 Hz notch)\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\ud83d\udca1 The preprocessing removed slow drifts, powerline noise, and high-frequency artifacts.\")" + ] + }, + { + "cell_type": "markdown", + "id": "2c1f8fcd", + "metadata": {}, + "source": [ + "## Section 7: MNE-Python Integration\n", + "\n", + "MNE-Python provides high-level filtering functions that handle many details automatically:\n", + "- Automatic filter design based on data properties\n", + "- Edge artifact handling\n", + "- Parallel processing for multi-channel data\n", + "- Proper handling of different data types (Raw, Epochs, etc.)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "faf574ad", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\u2713 mne_filter_data() function defined\n", + "\n", + "\ud83d\udca1 This mimics MNE-Python's filter_data() function conventions.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 7: MNE-Style Filtering Function\n", + "# =============================================================================\n", + "\n", + "from scipy.signal import firwin, filtfilt\n", + "\n", + "\n", + "def mne_filter_data(\n", + " data: NDArray[np.floating],\n", + " fs: float,\n", + " l_freq: Optional[float] = None,\n", + " h_freq: Optional[float] = None,\n", + " method: str = \"fir\",\n", + " fir_design: str = \"firwin\",\n", + " filter_length: str = \"auto\",\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Filter data using MNE-style conventions.\n", + "\n", + " Parameters\n", + " ----------\n", + " data : ndarray\n", + " Data to filter (samples,) or (channels, samples).\n", + " fs : float\n", + " Sampling frequency.\n", + " l_freq : float or None\n", + " Low cutoff frequency (highpass edge).\n", + " h_freq : float or None\n", + " High cutoff frequency (lowpass edge).\n", + " method : str, default='fir'\n", + " 'fir' or 'iir'.\n", + " fir_design : str, default='firwin'\n", + " FIR design method.\n", + " filter_length : str, default='auto'\n", + " Filter length specification.\n", + "\n", + " Returns\n", + " -------\n", + " filtered : ndarray\n", + " Filtered data.\n", + " \"\"\"\n", + " # Determine filter type\n", + " if l_freq is not None and h_freq is not None:\n", + " btype = \"band\"\n", + " cutoff = (l_freq, h_freq)\n", + " elif l_freq is not None:\n", + " btype = \"high\"\n", + " cutoff = l_freq\n", + " elif h_freq is not None:\n", + " btype = \"low\"\n", + " cutoff = h_freq\n", + " else:\n", + " return data # No filtering needed\n", + "\n", + " # Auto filter length (MNE uses ~3.3 cycles of lowest frequency)\n", + " if filter_length == \"auto\":\n", + " if l_freq is not None:\n", + " min_freq = l_freq\n", + " else:\n", + " min_freq = h_freq\n", + " n_cycles = 3.3\n", + " numtaps = int(n_cycles * fs / min_freq)\n", + " numtaps = numtaps + 1 if numtaps % 2 == 0 else numtaps # Ensure odd\n", + " numtaps = max(numtaps, 51) # Minimum length\n", + " \n", + " # Limit numtaps to avoid filtfilt padding issues\n", + " # filtfilt needs padlen = 3 * numtaps by default\n", + " n_samples = data.shape[-1] if data.ndim > 1 else len(data)\n", + " max_numtaps = (n_samples - 1) // 3\n", + " if max_numtaps % 2 == 0:\n", + " max_numtaps -= 1 # Ensure odd\n", + " numtaps = min(numtaps, max(max_numtaps, 51))\n", + " else:\n", + " numtaps = int(filter_length)\n", + "\n", + " if method == \"fir\":\n", + " h = design_fir_filter(cutoff, fs, numtaps=numtaps, btype=btype)\n", + " if data.ndim == 1:\n", + " return filtfilt(h, [1.0], data)\n", + " else:\n", + " return np.array([filtfilt(h, [1.0], ch) for ch in data])\n", + " else:\n", + " b, a = design_iir_filter(cutoff, fs, order=4, btype=btype)\n", + " if data.ndim == 1:\n", + " return filtfilt(b, a, data)\n", + " else:\n", + " return np.array([filtfilt(b, a, ch) for ch in data])\n", + "\n", + "\n", + "print(\"\u2713 mne_filter_data() function defined\")\n", + "print(\"\\n\ud83d\udca1 This mimics MNE-Python's filter_data() function conventions.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "aa26d22c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\ud83d\udcca Input shape: (4, 1250)\n", + "\ud83d\udcca Output shape: (4, 1250)\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 7: MNE-Style Filtering Demo\n", + "# =============================================================================\n", + "\n", + "# Create multi-channel data (simulating EEG with 4 channels)\n", + "fs = 250\n", + "duration = 5\n", + "n_channels = 4\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Generate 4 channels with similar content but different noise\n", + "data = np.zeros((n_channels, len(t)))\n", + "for i in range(n_channels):\n", + " data[i] = (\n", + " 1.0 * np.sin(2 * np.pi * 10 * t + i * np.pi/4) + # Alpha with phase shift\n", + " 0.5 * np.sin(2 * np.pi * 5 * t) + # Theta\n", + " 0.3 * np.random.randn(len(t)) # Noise\n", + " )\n", + "\n", + "# Filter using MNE-style function\n", + "data_filtered = mne_filter_data(data, fs, l_freq=1, h_freq=40)\n", + "\n", + "# Plot one channel before/after\n", + "fig, ax = plt.subplots(figsize=(12, 4))\n", + "\n", + "ax.plot(t, data[0], color=COLORS[\"signal_1\"], linewidth=0.5, alpha=0.5, label=\"Original\")\n", + "ax.plot(t, data_filtered[0], color=COLORS[\"signal_2\"], linewidth=1, label=\"Filtered (1-40 Hz)\")\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Amplitude\")\n", + "ax.set_title(\"MNE-Style Filtering (Channel 1)\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\ud83d\udcca Input shape: {data.shape}\")\n", + "print(f\"\ud83d\udcca Output shape: {data_filtered.shape}\")" + ] + }, + { + "cell_type": "markdown", + "id": "91aae877", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 8. Exercises\n", + "\n", + "### \ud83c\udfaf Exercise 1: Compare Edge Effects\n", + "\n", + "**Task:** Create a 1-second signal and compare edge effects with different filter orders.\n", + "\n", + "- Create a pure 10 Hz sine wave (1 second, fs=250 Hz)\n", + "- Apply lowpass filters with orders 2, 4, and 8\n", + "- Measure how many samples deviate from the original at each end\n", + "\n", + "```python\n", + "# Your code here\n", + "fs = 250\n", + "t = np.arange(0, 1, 1/fs)\n", + "signal = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Apply filters with different orders and compare edge effects\n", + "# ...\n", + "```\n", + "\n", + "
\n", + "\ud83d\udca1 Click to reveal solution\n", + "\n", + "```python\n", + "fs = 250\n", + "t = np.arange(0, 1, 1/fs)\n", + "signal = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "ax.plot(t, signal, 'k--', linewidth=1, alpha=0.5, label=\"Original\")\n", + "\n", + "for order, color in zip([2, 4, 8], [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"]]):\n", + " b, a = design_iir_filter(cutoff=30, fs=fs, order=order, btype='low')\n", + " filtered = filtfilt(b, a, signal)\n", + " \n", + " # Calculate error\n", + " error = np.abs(filtered - signal)\n", + " n_affected = np.sum(error > 0.01) # Threshold for \"affected\"\n", + " \n", + " ax.plot(t, filtered, color=color, linewidth=1.5, label=f\"Order {order} ({n_affected} samples affected)\")\n", + "\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Amplitude\")\n", + "ax.set_title(\"Edge Effects vs Filter Order\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "id": "d737682c", + "metadata": {}, + "source": [ + "### \ud83c\udfaf Exercise 2: Build a Custom Theta Pipeline\n", + "\n", + "**Task:** Create a function that extracts theta activity while removing powerline noise.\n", + "\n", + "- Apply notch filter at 60 Hz (US powerline)\n", + "- Apply bandpass filter for theta band (4-8 Hz)\n", + "- Test on a synthetic signal with theta + 60 Hz noise + random noise\n", + "\n", + "```python\n", + "# Your code here\n", + "def extract_theta(signal, fs):\n", + " \"\"\"Extract theta band activity with powerline removal.\"\"\"\n", + " # Step 1: Notch at 60 Hz\n", + " # ...\n", + " # Step 2: Bandpass 4-8 Hz\n", + " # ...\n", + " pass\n", + "```\n", + "\n", + "
\n", + "\ud83d\udca1 Click to reveal solution\n", + "\n", + "```python\n", + "def extract_theta(signal, fs):\n", + " \"\"\"Extract theta band activity with powerline removal.\"\"\"\n", + " # Step 1: Notch at 60 Hz\n", + " result = notch_filter(signal, freq=60, fs=fs, quality=30)\n", + " \n", + " # Step 2: Bandpass 4-8 Hz\n", + " b, a = design_iir_filter(cutoff=(4, 8), fs=fs, order=4, btype='band')\n", + " result = filtfilt(b, a, result)\n", + " \n", + " return result\n", + "\n", + "# Test\n", + "fs = 500\n", + "duration = 3\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create test signal\n", + "np.random.seed(42)\n", + "theta = np.sin(2 * np.pi * 6 * t) # 6 Hz theta\n", + "powerline = 0.5 * np.sin(2 * np.pi * 60 * t) # 60 Hz noise\n", + "noise = 0.2 * np.random.randn(len(t))\n", + "test_signal = theta + powerline + noise\n", + "\n", + "# Apply pipeline\n", + "extracted = extract_theta(test_signal, fs)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6), sharex=True)\n", + "axes[0].plot(t, test_signal, color=COLORS[\"signal_1\"], linewidth=0.5)\n", + "axes[0].set_title(\"Original (theta + 60 Hz + noise)\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t, extracted, color=COLORS[\"signal_2\"], linewidth=1)\n", + "axes[1].set_title(\"Extracted Theta (4-8 Hz)\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "id": "22790f9c", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "Key takeaways from this notebook:\n", + "\n", + "- **Filter application**: Use `filtfilt()` for zero-phase filtering, `lfilter()` for causal filtering\n", + "- **Edge effects**: Filters need warm-up time; plan for transients at signal boundaries\n", + "- **Zero-phase filtering**: Essential for connectivity analysis to preserve timing\n", + "- **Notch filters**: Remove powerline interference (50/60 Hz and harmonics)\n", + "- **Standard pipeline**: Notch \u2192 Highpass \u2192 Lowpass (or combined bandpass)\n", + "\n", + "### Functions Defined\n", + "\n", + "| Function | Purpose |\n", + "|----------|----------|\n", + "| `apply_filter()` | Apply filter with optional zero-phase |\n", + "| `notch_filter()` | Remove single frequency |\n", + "| `notch_filter_harmonics()` | Remove frequency and its harmonics |\n", + "| `preprocess_eeg()` | Complete EEG preprocessing pipeline |\n", + "| `mne_filter_data()` | MNE-style filtering function |\n", + "\n", + "### For Hyperscanning\n", + "\n", + "When filtering signals from two participants:\n", + "- Always use zero-phase filtering to preserve timing\n", + "- Apply identical filter parameters to both participants\n", + "- Be aware of edge effects when epoching around events" + ] + }, + { + "cell_type": "markdown", + "id": "50696df4", + "metadata": {}, + "source": [ + "## External Resources\n", + "\n", + "### \ud83c\udfa7 NotebookLM Resources\n", + "\n", + "- [\ud83d\udcfa Video Overview](https://notebooklm.google.com/notebook/5d899740-f497-4339-ac73-909dbf71c3af?artifactId=0af231ba-8877-4cad-b821-f4f25085f345) - Video overview of applied filtering concepts\n", + "- [\ud83d\udcdd Quiz](https://notebooklm.google.com/notebook/5d899740-f497-4339-ac73-909dbf71c3af?artifactId=bdc62b32-eb64-4961-b1c5-89c1743e3f3b) - Test your understanding\n", + "- [\ud83d\uddc2\ufe0f Flashcards](https://notebooklm.google.com/notebook/5d899740-f497-4339-ac73-909dbf71c3af?artifactId=1ebd1709-713c-49c3-8feb-e077e09c0c57) - Review key concepts\n", + "\n", + "### Documentation\n", + "- [SciPy filtfilt](https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.filtfilt.html) - Zero-phase filtering\n", + "- [MNE-Python filter tutorial](https://mne.tools/stable/auto_tutorials/preprocessing/25_background_filtering.html) - Comprehensive filtering guide\n", + "\n", + "### Scientific Papers\n", + "- [Widmann et al. (2015)](https://doi.org/10.1016/j.jneumeth.2014.08.002) - Digital filter design for electrophysiological data\n", + "- [de Cheveign\u00e9 & Nelken (2019)](https://doi.org/10.1016/j.neuron.2019.02.039) - Filters: When, Why, and How to Use Them\n", + "\n", + "### Tutorials\n", + "- [FieldTrip filtering FAQ](https://www.fieldtriptoolbox.org/faq/what_kind_of_filters_can_i_apply_to_my_data/) - Practical filtering advice\n" + ] + }, + { + "cell_type": "markdown", + "id": "b2f671b8", + "metadata": {}, + "source": [ + "## Discussion Questions\n", + "\n", + "1. **Real-time applications**: In a real-time hyperscanning setup, you can't use `filtfilt()`. What alternatives exist for minimizing phase distortion?\n", + "\n", + "2. **Edge effects in epochs**: If you're epoching around events (-500 to +1000 ms), how would you handle filter edge effects?\n", + "\n", + "3. **Filter order trade-offs**: Why might you choose a lower filter order even though higher orders give sharper cutoffs?\n", + "\n", + "4. **Notch vs bandpass**: When removing 50 Hz noise, why use a notch filter instead of just setting lowpass to 49 Hz?\n", + "\n", + "5. **Hyperscanning considerations**: If participant A's signal has more noise than participant B's, should you use different filter settings?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04b_applied_filtering_quick.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04b_applied_filtering_quick.ipynb new file mode 100644 index 0000000..db1f72e --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/A_signal_fundamentals/A04b_applied_filtering_quick.ipynb @@ -0,0 +1,777 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f93480af", + "metadata": {}, + "source": [ + "# A04b: Applied Filtering (Quick Reference)\n", + "\n", + "**Duration**: ~20 minutes\n", + "\n", + "**Prerequisites**: \n", + "- [A04a: Filter Fundamentals](A04a_filter_fundamentals.ipynb)\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "1. **Apply filters** to time-series signals using src/filtering.py functions\n", + "2. **Handle edge effects** and use zero-phase filtering\n", + "3. **Remove powerline noise** using notch filters\n", + "4. **Build a complete EEG filtering pipeline**" + ] + }, + { + "cell_type": "markdown", + "id": "43df62b6", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Applying Filters to Signals](#section-2-applying-filters-to-signals)\n", + "3. [Edge Effects and Transients](#section-3-edge-effects-and-transients)\n", + "4. [Zero-Phase Filtering](#section-4-zero-phase-filtering)\n", + "5. [Notch Filtering](#section-5-notch-filtering)\n", + "6. [Complete EEG Pipeline](#section-6-complete-eeg-pipeline)\n", + "7. [Exercises](#section-7-exercises)\n", + "8. [Summary](#summary)\n", + "9. [External Resources](#external-resources)\n", + "10. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "214707ab", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumPy version: 2.3.5\n", + "Source path: /Users/remyramadour/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy.signal import filtfilt, lfilter\n", + "from scipy.fft import fft, fftfreq\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parents[2]\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from src.colors import COLORS\n", + "from src.filtering import (\n", + " design_iir_filter,\n", + " design_fir_filter,\n", + " apply_filter,\n", + " notch_filter,\n", + " notch_filter_harmonics,\n", + " mne_filter_data,\n", + ")\n", + "\n", + "# Matplotlib configuration\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"figure.figsize\"] = (12, 5)\n", + "plt.rcParams[\"font.size\"] = 11\n", + "\n", + "print(f\"NumPy version: {np.__version__}\")\n", + "print(f\"Source path: {src_path}\")" + ] + }, + { + "cell_type": "markdown", + "id": "9951fc3a", + "metadata": {}, + "source": [ + "## Section 1: Introduction\n", + "\n", + "In A04a, we learned how to **design** filters. Now we focus on **applying** them to actual signals.\n", + "\n", + "Key challenges when applying filters:\n", + "- **Edge effects**: Filters need \"warm-up\" time, causing artifacts at signal boundaries\n", + "- **Phase distortion**: IIR filters shift different frequencies by different amounts\n", + "- **Powerline noise**: 50 Hz (Europe) or 60 Hz (US) interference is ubiquitous\n", + "\n", + "For hyperscanning, **zero-phase filtering** is essential to preserve timing relationships between participants." + ] + }, + { + "cell_type": "markdown", + "id": "ae1ac685", + "metadata": {}, + "source": [ + "## Section 2: Applying Filters to Signals\n", + "\n", + "The `apply_filter()` function from `src/filtering.py` provides a simple interface for filtering signals with automatic zero-phase filtering." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "375343ff", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The filter isolated the 10 Hz alpha component.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 2: Basic Filter Application\n", + "# =============================================================================\n", + "\n", + "# Create a test signal with multiple frequency components\n", + "fs = 250 # Hz\n", + "duration = 2 # seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Signal: 5 Hz (theta) + 10 Hz (alpha) + 30 Hz (gamma) + noise\n", + "np.random.seed(42)\n", + "signal = (\n", + " 1.0 * np.sin(2 * np.pi * 5 * t) + # Theta\n", + " 1.5 * np.sin(2 * np.pi * 10 * t) + # Alpha (strongest)\n", + " 0.5 * np.sin(2 * np.pi * 30 * t) + # Gamma\n", + " 0.3 * np.random.randn(len(t)) # Noise\n", + ")\n", + "\n", + "# Design and apply a bandpass filter for alpha (8-13 Hz)\n", + "b, a = design_iir_filter(cutoff=(8, 13), fs=fs, order=4, btype=\"band\")\n", + "filtered = apply_filter(signal, b, a, zero_phase=True)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6), sharex=True)\n", + "\n", + "axes[0].plot(t, signal, color=COLORS[\"signal_1\"], linewidth=0.8, alpha=0.8)\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Original Signal (5 Hz + 10 Hz + 30 Hz + noise)\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t, filtered, color=COLORS[\"signal_2\"], linewidth=1.5)\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Filtered Signal (Alpha band: 8-13 Hz)\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The filter isolated the 10 Hz alpha component.\")" + ] + }, + { + "cell_type": "markdown", + "id": "cebe4bf3", + "metadata": {}, + "source": [ + "## Section 3: Edge Effects and Transients\n", + "\n", + "**Edge effects** occur at signal boundaries because filters need past/future samples. Higher filter orders = longer transients." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b2979d7f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Higher order = sharper cutoff but longer edge effects.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 3: Edge Effects Comparison\n", + "# =============================================================================\n", + "\n", + "# Create a short signal\n", + "fs = 250\n", + "duration = 1\n", + "t = np.arange(0, duration, 1/fs)\n", + "signal = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Compare different filter orders\n", + "orders = [2, 4, 8]\n", + "colors = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"]]\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "\n", + "ax.plot(t, signal, 'k--', linewidth=1, alpha=0.5, label=\"Original\")\n", + "\n", + "for order, color in zip(orders, colors):\n", + " b, a = design_iir_filter(cutoff=30, fs=fs, order=order, btype=\"low\")\n", + " filtered = filtfilt(b, a, signal)\n", + " ax.plot(t, filtered, color=color, linewidth=1.5, label=f\"Order {order}\")\n", + "\n", + "ax.axvspan(0, 0.05, alpha=0.2, color=\"red\")\n", + "ax.axvspan(duration-0.05, duration, alpha=0.2, color=\"red\", label=\"Edge regions\")\n", + "\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Amplitude\")\n", + "ax.set_title(\"Edge Effects with Different Filter Orders\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Higher order = sharper cutoff but longer edge effects.\")" + ] + }, + { + "cell_type": "markdown", + "id": "5358c879", + "metadata": {}, + "source": [ + "## Section 4: Zero-Phase Filtering\n", + "\n", + "**Zero-phase filtering** applies the filter forward then backward, eliminating phase distortion. Essential for connectivity analysis." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "8491eade", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Causal filtering DELAYS the signal.\n", + "Zero-phase filtering preserves timing \u2014 essential for connectivity!\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 4: Causal vs Zero-Phase\n", + "# =============================================================================\n", + "\n", + "# Create a signal with a burst\n", + "fs = 250\n", + "duration = 2\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "signal = np.zeros_like(t)\n", + "burst_start, burst_end = 0.5, 1.0\n", + "burst_mask = (t >= burst_start) & (t <= burst_end)\n", + "signal[burst_mask] = np.sin(2 * np.pi * 10 * t[burst_mask])\n", + "\n", + "# Apply filter both ways\n", + "b, a = design_iir_filter(cutoff=(8, 13), fs=fs, order=4, btype=\"band\")\n", + "\n", + "filtered_causal = lfilter(b, a, signal)\n", + "filtered_zerophase = filtfilt(b, a, signal)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "\n", + "ax.axvspan(burst_start, burst_end, alpha=0.15, color=\"gray\", label=\"True burst\")\n", + "ax.plot(t, signal, color=\"gray\", linewidth=1, alpha=0.5, label=\"Original\")\n", + "ax.plot(t, filtered_causal, color=COLORS[\"signal_1\"], linewidth=1.5, label=\"Causal (delayed)\")\n", + "ax.plot(t, filtered_zerophase, color=COLORS[\"signal_2\"], linewidth=1.5, label=\"Zero-phase (no delay)\")\n", + "\n", + "ax.axvline(burst_start, color=\"black\", linestyle=\"--\", alpha=0.3)\n", + "ax.axvline(burst_end, color=\"black\", linestyle=\"--\", alpha=0.3)\n", + "\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Amplitude\")\n", + "ax.set_title(\"Causal vs Zero-Phase Filtering \u2014 Effect on Timing\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Causal filtering DELAYS the signal.\")\n", + "print(\"Zero-phase filtering preserves timing \u2014 essential for connectivity!\")" + ] + }, + { + "cell_type": "markdown", + "id": "1f02565b", + "metadata": {}, + "source": [ + "## Section 5: Notch Filtering\n", + "\n", + "Notch filters remove powerline interference (50 Hz in Europe, 60 Hz in Americas) and their harmonics." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "781bb14d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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e+8IXvrCi7bnllluUmTPEHKRleaORpoJph2iXXiHH7/cXAtuBNocIIqTSeYFgiwIAMLAuVgCgWLvFvkSlPhjBm2iX6QARNEizhFk4jkWhfYj95Y2AQ3U293tK+Y2IjkIqZqnRUfXCZL9rqudlNRcTEDGGtuQlmUyqfo4m5oQQMruhZxQhhJCGAKXh4RvjBzx3CqU5eaNA7r//fuUPhCgX4y0DDyKAimfwNfGCaBhUNwPnn3++EkpQFc3Pb8kdHWPSc/xEpcmAVxLSEN2/Gb5HX//616WeQLojJu3w4jKUsz8LgYgj+OVgsuqNwoH3DVKuUD2sFMEPflmoSIaS834ePkg7m6zCm4n28EZ2IBIJ3lZTAb8Tv+OLX/xizn5Bu1m/fn1Jn4HfhchARKph/19yySV5N1Q2QzU0RMYUo1i7feMb36j+RYSSX5RLKemOlYLjh21DpTwv8CTCa6jihnRJA4TSz372s+r+q171qpJ+I6olok37eVT5Rb/VE8V+VzXOy2qB8xuVPSEUeiPd0OZLrbhICCGkfmFkFCGEkIYA4s+tt96qoh4gfCDKBca7SN2BGTl8ZLwRKxCbMPFGxBQmq4hswUQHwgQ+z+2FBDNupPjhc173utcp7xb4mjz66KPKrBtRK6tWrVJpK4gugRAC7xWYASNqAxNgbAfMvGGibMyqMTmGIe+LX/xiZVT+rGc9Sw499NBJfy+M2rEd8GSCAACxAZ5MSJGaKZCKZwQ4CDgQYhAphJQflH2vZH8WA0IiDJXx9zj28P6BL5jxRTIiw2TA3wgRNWgfEPlgco50JEzYIXbBCB2CEvZ1ISDyIKIEhvOI2sC2w4MH24LtgshZKUipw+dCjML34PciOgRphYjqc5vDFwJpgmgjl156acH3QIxBiiE+t5gx9mmnnabEAuxftGtEB6HNou3iM2Bojd+NY4HPgWE8IhCxDyAs+Akd1QDfA5N3iFJecF7gnMa2of3hWGO7IWT+/e9/V8+7/c5wbgJ4nb3hDW9QfQLaKm7YR+hXYNiPCEic00jJRLQUzgETaVWPQJBHROE3v/lN1VfBNw9RSDDZr9Z5WS3QvrAwgL708ssvV/0oUk2xHfD+K5aSTAghZBYw0+X8CCGEkGpw9913Wx/60IdUmfdFixZZ4XDYam9vt0455RTrU5/6VE45eYCy7ygNjnLjr3zlK63Ozk5VHv7cc8+17r33Xt/v+OMf/2hddNFF1vz581UZ8qVLl1rPf/7zrS996UvW+Ph4znvvv/9+61WvepW1cOFC572veMUr1PPuEu8f/OAHrWXLlqmy6e6S68VKyxu+8pWvWIceeqj6/NWrV6uS8zfffHNe6Xa/Eu8G7APsCy/F/saL2Vb3LRQKqdL1r371q62HHnpoSvuz2L7YsWOH9da3vlV9F445PuPtb3+7tXv37pz3FStp725Dl1xyiWo/2B78e+aZZ1qf/vSnrd7e3kn3w6OPPqp+z7x581RbOuOMM6zf/OY3vtv/pje9ST3nh98xyWaz6ngffvjhattWrVql2vWf//znSX8XOO2006xAIGDt3Lmz6Pue85znqGOH/YrtxWdj+71cc8011po1a9S24D34PW5+/OMfW+ecc446r6LRqLVixQrrwgsvtL71rW/lvM/vbyfDtM0f/ehHea+NjIxYixcvVq/7tes//OEP6vm2tjYrFotZxx9/vPX1r39d7V8vX/jCF9T5hXbl3Q+JREK9ftxxx1lNTU2qr8FnfeITnyipzZVyfnvbCo5JIfw+r9A5fMMNN1gnnXSS+v1++6nU87JQ3wH82k6x9lRoW5944gnrJS95iTpeuF1wwQXqPDv55JNV+yOEEDJ7CeB/My2IEUIIIdMNolwQxeOXSkcIIaQ+QUQUolrPPPNMlQZMCCFkdkLPKEIIIYQQQkjd4ecDCF88+FddcMEFM7JNhBBCqgM9owghhBBCCCF1B6r6wcsL/nswh7/jjjuUz9eaNWuUzxchhJDZC8UoQgghhBBCSN0B8/Lf/va38vOf/1xVC0WxARRv+I//+A9lQE8IIWT2Qs8oQgghhBBCCCGEEDJt0DOKEEIIIYQQQgghhEwbFKMIIYQQQgghhBBCyLRBz6gygXni7t27pb29XQKBQG2OCiGEEEIIIYQQQsgswrIsGR4elqVLl0owWDz2iWJUmUCIWrFixVSODyGEEEIIIYQQQkhDsmPHDlm+fHnR91CMKpH169erWzqdVo+3bdsmXV1dUz9KZM5G2B04cEAWLlw4qWJMCNvSFEgmRb70Jfv+Bz8oEo2yQbFfIjWG1zgyZZJJsb74RRkdHZWWj31Mgk1N3KmEfRKZcXh9m5yhoSEVvINMssmgGFUi69atUzfs3M7OTuno6FA3QirtyFCiGG2IYhSZCmxLk5DJiFxwgX1/3jyRUIgNjm2J1Bj2S2TKZDKSPf98yQwMSMe8eRKMRLhTCfskMuPw+lY6pVgaUYwihBDSuEB8Ouecmd4KQgghFfTdyf37uYhACCENCvODCCGEEEIIIYQQQsi0QTGKEEJI42JZIlhZxw33CSGEzJq+O3jwIPtuQghpUChGEUIIaVxSKZFvftO+4T4hhJD6J5WSwLe+JS3XXMO+mxBCGhR6RhFCCCGEEEIIIQ1EJpORFBfiqm5gjn2KQlRzsQhVJBKRUBWLAVGMIoQQQgghhBBCGgDLsmTv3r0yMDAw05vSkPsWgtTw8HBJ1eIaka6uLlm8eHFVfj/FKEIIIYQQQgghpAEwQlRPT4+0tLTMWdGkVmJUOp2WcDg85/arZVkyNjYm++HDKiJLliyZ8mdSjCKEEEIIIYQQQhogNc8IUfPnz5/pzWk45rIYBZqbm9W/EKTQxqaasjf3Eh0JIYQQQgghhJAGw3hEISKKkFpg2lY1/MgoRhFCCCGEEEIIIQ3CXIzaIbOvbTFNjxBCSOOC8OGzzpq4TwghpP4JhcQ680xJDgxIC/tuQghpSBgZRQghpHHBJOb88+0bJzSEEDKr+u7kOeew7yZkjvKJT3xCReGYW1NTk6xZs0b+67/+S1W0q4SvfOUrsnLlSuV19PKXv1wagdtuu00+97nPVfS32K9f/OIXZaZgZBQhhBBCCCGEEELqzjD7lltuUffHx8fl1ltvlQ9/+MNKjMK/5bBx40b54Ac/KP/2b/8mF198sSxYsEAaRYz64he/KB/5yEdktkExihBCSONiWSKDg/b9zk4sAc30FhFCCCml7x4YkAD674ULub8ImaMEg0E544wznMfPf/7z5dFHH5Xrr7++bDHqqaeeUtXw3v72t8thhx02pe1KJBISjUbV9pHK4d4jhBDSuKDSx1e/Kqkvfdm+TwghpP5JpSTwta9J6//8D/tuQkgO7e3teZXcIA4hMuiQQw6RWCym0vl+/OMfO69fdtllKhoKrF69WqWnXXPNNerxtm3b5JJLLpHOzk5pbW2VCy64QAleblatWiXvfve7VYrg4YcfrirK9fX1qdfwOccff7xKI1y2bJn8+7//u2QymUlTENva2tT3nH322erzjj32WPnTn/6U8z5EgH3mM59R34/fdfTRR8u3v/3tnM/55Cc/KaOjo0464zlIb9Y88cQT8spXvlK6u7vVd5xwwgnyk5/8JO878DmLFi1S0WJvfvOb1edNB4yMIoQQ0tCMpzKy6eCYHJ7KSHN0preGEEIIIYSUSjqdzknT++Uvf5mXkvbqV79a7rjjDvn4xz+uhKg//OEP8k//9E8yb948ufDCC+VjH/uYrF27VqXoIapqyZIlSpQaHh5W4g0inK6++molKH32s5+V5z73ufLII4/IihUrnO/A9x5xxBHypS99SUVFQbj68pe/LFdccYW8//3vV89D/DFi1Oc///mivyuVSskb3vAGee9736u27wtf+IK86lWvUuLY/Pnz1Xs+9KEPyde+9jX56Ec/KmeddZb8/ve/l8svv1z9LcSxt73tbbJz504lvJl0xo6ODict8cwzz1S/4b//+79l8eLF8thjj8n27dtztuMb3/iGPOc5z5Ef/vCH8vTTT6vvhDA12fZXA4pRJbJ+/Xp1m0zlJIQQUl+ks5ZYuOhnLGme6Y0hhBBCCCElgQidSCSS89xrXvOanBQ9CFS//e1vVVTR+ShYIyLnnXee7NmzR4lTEKMgPB155JHqtZNOOklFGgGINBB/Hn/8cSVigec973nK5PyrX/2qEpgMEIAgciFCKRwOy8jIiPp8iFHGQBzfC6HqAx/4gBJ1jKjkRzKZVILPRRddpB4fddRRcuihh8qNN96ohLSDBw/K17/+dfU5iFwC+H14/lOf+pT8v//3/2T58uXq5k1nBPgbbMvf//53R6B64QtfmLcdEOauvfZadf9FL3qRPPDAA3LddddRjKon1q1bp25DQ0MqhI8QQsjssR6x/9V3CCGEEELmEOlsVobidoTRTNHRFJZwmR5LMDD/61//6qTi3X///fIf//Efyvfp+9//vnr+pptuUmlo5557rhNFZYQhRBEhmATV8/z429/+ptLjjBAF8Fn4W0RauUEEFaKhzHfceeedSpC69NJLc74Xgg+iuBCFBGGrEMFgMEccgkCG34tIJ/CPf/xDCWD4fK8Yh1Q7RDG5t9vLzTffrNIPjRBVCPxWN4gg++lPfyrTASOjCCGEzAkqKwJMCCGEEDK7gRB145MHZ3QbLjx6gXS3lOeXAMHm1FNPdR4/+9nPVsIPquIh+ghCEiKF4N/kjaAyIEIK0UN+9Pf3q5Q0L3gOYpL3OTf4XnDyySf7fvaOHTuK/rbm5mYVueQGj+PxuLNtft9rHhvPqkL09vbK0qVLZTK6urrytgHC33RAMYoQQkhDYyfpMTKKEEIIIXMTRCVBDJrpbagGJhoIqXUQoxDJtHDhQpVC50dPT0/Bz8Lfosqel3379qnX3MAc3Pu3AB5Ubm8pA1LupkK3/vz9+/crY3T3trlfLwRSBHfv3i31DMUoQgghDY3JzssyS48QQgghcxCkx5UblVSvmIglVH4DSHVDlTtE9KCqXTmgkh38kSBIwbPJRCT95S9/kXe84x1F/xbm4KhQh7S6V7ziFVJtTj/9dBXt9Ytf/EL5XBl+/vOfK4HNeGAVimTCfsFvgzE6KhDWIxSjCCGENC7BoCROOkV6943IkkB5PgWEEEJmiGBQrFNPldTgoLpPCJmbZLNZufvuux3Db3hGfeYzn1G+Rqh4ZzyPLr74YmW+DTNxCFIwPkfk1KZNm+S73/1uwc9/85vfLF/5ylfkxS9+sfpcU00PBuXve9/7Jk1vg5E4vhOCFDyl4E31zDPPyG9+8xtVfQ9iVaUsWLBA3vOe98hVV12ltgsG5Yj+QuU8GJsbHyxEiiF1EVX3UHEPHlEQ1mCujup7ENywjTAq37Bhg4yNjanH9QDFKEIIIY1LOCxj571Idm8bkLUFzCsJIYTUGeGwyItfLIn9++37hJA5CYzAEYEEIBAhHQ6V5iC0uD2iTPW3b37zm6o6HgqOIYUPYlMxEDF02223Kf8pRELB7By+VDBN90u98wLvKqTQffnLX1YCEbYJlfte8pKX5PlBVcJVV12lRC8IahDLYHJ+9dVXyzvf+U7nPRDi3vWud8l//ud/qpQ+iHT4TUcccYQyWb/yyivV6xCsEE3lrkQ40wQslhcqC1NND+F7XrMvQspR+dFZIMQSxnyEVArb0uRs7h2Tu7cNyAuOmC+L22NsbGxLpMawXyJsR6SemEt9Esyvt2zZovyKEE1DqgukE4g6EMa8HlJzhfgkbczoJYODg5NW8mvss5EQQsjcBoZRIyMSGh8TK8t6eoQQMmv67tFRCYyNTRj/EUIIaSgoRhFCCGlcUinp+sZXZe3/fkuyydRMbw0hhJBSSKUk8MUvSus3v6nuE0IIaTwoRhFCCGlozJo6F9cJIYQQQgipDyhGEUIImRNkqUYRQgghhBBSF1CMIoQQ0tAYDYquI4QQQgghhNQHFKMIIYQ0NJaWoVg8lhBCCCGEkPqAYhQhhJA5ERmVZWgUIYQQQgghdQHFKEIIIXMCRkYRQgghhBBSH4RnegMIIYSQmhEMytgxx0l/f1yaA1x/IYSQWUEwKNYJJ0hqcFDdJ4QQ0nhQjCKEENK4hMMycMFLZOe+EVkS5iWPEEJmBeivX/5ySezfb98nhBDScHCpgRBCSEOT1aZRTNMjhBBCCJl9nHDCCRIIBORvf/ub7+tXXHGFLFmyRILBoLzvfe+TX//61/LNb35TZhtf/epX5Q9/+EPZf3fNNdeo/XPw4EGZTVCMIoQQ0rhAiEokJZhKSpYO5oQQMnv67mTSvpkqFISQOcnjjz8ujzzyiLr/4x//OO/1v/zlL3LVVVfJv/3bv8nf//53ef/73z/nxKjZCsUoQgghjUsqJYu/8SU55vtfFwuTGkIIIfVPKiWB//xPafvv/1b3CSFzl2uvvVZFPD3/+c+XX/ziF5Ly9AlPPvmk+ve9732vnHnmmXLIIYdUfRvGx8er/pmEYhQhhJAGx6ypc22dEEIIIWT2AIuFn/zkJ3LuuefKBz7wAent7ZU//vGPzuvnnHOOvOc971H3Q6GQSlVbtWqV/PCHP1QRVXiM22WXXeb8zV133aU+r7W1VTo7O+X1r3+97Ic/nWbr1q3qb5D69va3v13mz58vp59+esFtxPe9+93vlvXr1yshDJ/58pe/XA4cOJDzvm3btskll1yiXsd3X3DBBfLoo4/mfA7eg88x241tMPzv//6vnHTSSdLU1CQLFiyQiy66SL3fzY4dO+TCCy9Un3/EEUeov6lnGBlFCCGksdEqFDM9CCGEEDIXBR0rnZ75WwUDsTvvvFOJQxCMIN5AGHKn6iEVDx5RRmTC7Te/+Y0Sag477DDnuY997GPOeyBgQRD62c9+Jt/5znfk3nvvlZe97GV5333llVc6YhjSAIvx29/+Vt0gJH3ta1+T22+/3RHJwPDwsPreBx98UK6++mr5v//7PyWsPfe5z1UCEvjVr34lixcvVoKV2e4Xv/jF6jV8/5ve9CY55ZRT5Prrr5fvfe97SmzyCl5veMMb5Pzzz1dpihCuIMI98cQTUq/MufIUOBhvfOMbZXBwUJYvX67C/mB2RgghpDGxtBpFA3NCCCGEzDkyGRn72c0zvRXS8poXlF0dE8ITIoFe+cpXSiQSUULNj370IxkZGZG2tjZZu3atk5Z3xhlnOH+3cOFCFTXkfg58+MMfllNPPVUJOog8Ascdd5wce+yxyqsJIpbhxBNPlO9+97slbSfGmBCjYrGYegwB7XOf+5xks1mVYviDH/xAbQ+itdasWaPe87znPU9WrlypfKK+9KUvKfEIf79o0aKc7YZu8YlPfELe8Y53yLe//W3neT8BDRFa73rXu9T9s846S2644Qb55S9/KR/96EelHplzkVGXX365OhhPP/20OoBokIQQQhoXsxBH/3JCCCGEkNlBOp1WHlEQiBDJBBAhNTY2pqKIygV/B4PzSy+9VDKZjPp83I488khZsWKFipByY6KSSgHCkhGiAEQyeFuZ9D9UAYTgZYQo0N3dLeedd57ccccdRT8bEVLY9re+9a2TbgeiogxI1YNQt3PnTqlXZkVk1KZNm+SLX/yi3H333fLYY4/J0Ucfrf71AvMyhMMhnK+9vV1FQH3mM5+RaDSqXt+3b59s3LjRURFxQBGyh5xSQgghje4ZRdcoQgghhMwxQiE7KmmmCYXKevtNN92k0tAuvvhiGRgYcKKYkNWEiKl//ud/Luvz+vv7lQiFanu4eTHpcgZEKJVKV1dXzmOjP8Tjcee7/T5v0aJFvrqGG6TzgaVLl1a0HWYb6pFZIUYhnA0hZs961rNUqBtuXnCAYUSG3EmE3e3atUuZnEFF/MY3vqHeA1UQqqcBoX0I+8MBRv4pIYSQxoWRUYQQQgiZa6h0tDLT4+oB4w315je/Wd3cQKRC1FFPT0/JnwehBvviIx/5iDIY9wJTcDcmja8aIArqqaeeynt+37596rViGJ1i9+7dymaokZgVrRJqqIlmggnXfffdl/ceGIENDQ2pkD1zQBF2h5xJNLhSlERSHbJjcZUXE2xt5i4lhMwswaCMrj5KBseS0hyYc5nphBAyOwkGxVqzRtJDQ+o+IWRugYASGJFDNPqXf/mXnNf27t0rr3vd65QBudskfLKIIKStnXnmmcpDGtlT08nZZ58t1113nRKkjjrqKCeY5i9/+Yvygiq23djmlpYW5TtVrKrfbGRW9O4w/ZqMG2+8UV74whfmKIuvfvWrVRQVQvwAlER3+B2Mz3CwGRVVPaysJcM33Ckjv79TrEx+BBshhEwr4bDsu+hlsv38l0q2zPBwQgghMwSiOF79aom/9KWzMqKDEDI1IERhrv7e975XVaFz31772tcqs293VT0v8GaCiTgq4SGQBfdNVTpkXL3mNa9RQSy33XabqmyHSnW4XysQ2QX/JvhQ/fSnP1XV7s4//3wJh8NONUCz3bfccov8+c9/VtuNDC74ZX384x9XwTfvfOc7ldH673//e/ngBz/oG6Qzm2iY3h1+UW95y1vyQvGQU4rXTE7m4Ycfrho3Iq1QEtEvRM9NIpFQNwOir0ChdMG5jpVKSziZUvezyZQEYpGZ3qS6BG0HVRfYhgjb0nScb5aK1sS/POfYL5HpOOd4jSNsR6R+mEt9kvmt5jZbgdCESnMwBvf7HfCGhu8TvKXN6+73QRe45557VOQUBB2ITYgsQpQRzMRRnQ4CUTKZVAErsPtZvXp1zn4rtA/9vs/7Xu9nwB7o1ltvVQISIqHgXfXsZz9bbr/9dvX95v2f/exnVWbXq171KhkeHpbvf//7KjPsQx/6kEojROW9a665Rvlj47egamA521wNzHcU0kPKOc8C1ixrpSZNz2v0hVKPn/70p/Oq48G1HmUNv/Od7zj+U2iMKJGIA3/ttdcWTeFDQ/3kJz+Z9zwELuPqT1yk0tL+18fV3ZHnrBUrSjHKD5ykaINoQ6VE/hFSCLalyfnHnoT0xjOyvC0sxy+0DSUJ2xKpHeyXCNsRqSfmUp+ECm74rYjCgTcyqS6QTiAkhUKhqnpKzSaQWbZt2zZ1PkGD8QIRDRUK0Q47OjrmRmRUqRxzzDFlhbNdeeWVygjdHRkFE3SokF63eiJixZNislwXdM+XQAs7wUIXRXRgaEeNflEktYVtaRKSSTn2Mx+T0WRGRj54RVlGl3MNtiXCtkTqhmRS5HOfk/bRUWn+9KclyEk1mQJz6foGoQBiANK/cCO1wU+EmSuEw2F1HsHqyE/wLEcEbZgWOm/ePKW+eYEx2GQO9cWIxWLq5gUHoNE7s0pwB+UFJMB9VARcFNmOSDVgWyqC6qcD2ElisU9iWyLTBvslMmUD80CA7YhUjbnSJ+H34beaG6l+ZJTZr3N1/wYm6ZvLOcca5mw8+uijHW8oA8SpPXv2qNfINOHOEZ1dGaCEkAbFkvzcfkIIIYQQQsjM0TBi1IUXXqhKIw4MDDjP/eIXv1DKHJzqp8r69etl7dq1ctppp035sxoaGAUbOPEjhNQBpiuiFEUIIYQQQkh9MCvEqLGxMbnuuuvUDWZZ8G0yjw8cOKDec/nllytXeVTHu+mmm5RbPlzn8Xwxg/JSWbdunWzYsEHuvffeKvyiOSJGzYGKFYSQ+sf0SlkK5IQQQgghhNQFs8Izav/+/XLppZfmPGceo0TiOeecozyjbr75ZlW+EYIUhKm3ve1tqjwimT4slwBluYUpQgiZYahFEUIIIWQuQGsCMhva1qwQo1atWlXSj16zZo1K1SMziPs4ceZHCKkDzPWD+jghhBBC5kKVN2QWNTc3z/TmkAZkbGysahUFZ4UYRWYRGRqYE0LqiGBQRlYeJvF0Vqzg3Kx6Qgghsw5U0zv8cEkPDemqqISQUgiFQtLV1aUyi0BLS8ucrfpWqwXOdDot4XB4zu1Xy7KUEIW2hTaGtjZVKEaVYWCOWyaTmfJOb2jc0VAMQyCEzDThsOx4yatkNJmRnhAveYQQMisIh0Xe8AaJ798vHbhPCCmZxYsXq3+NIEWqK8hks1lVJG2uiVEGCFGmjU0V9u5lGJjjBvP0zs7Oquz8hsRtWk4Dc0JIHWCMy2lgTgghhJBGByLJkiVLpKenR1Kp1ExvTkMBIaq3t1fmz5+vBKm5RiQSqUpElIFiFKkqOabl9IwihNQBpitil0QIIYSQuQJEg2oKB8QWoyDINDU1zUkxqtpwD5Lq4hKjWE2PEDLjJJNy1He+Ksd872tiJZIzvTWEEEJKIZkU+dznpPWrX7XvE0IIaTgYGUWqi0UDc0JIfRFIpyRoiVhSvVK0hBBCaksglZJAOs3dTAghDQojo0jtqunRwJwQUgdAgoLFJNP0CCGEEEIIqQ8oRpUIKumtXbtWTjvttNoekVmO5TYt58yPEFIPWDDzFMkyMooQQgghhJC6gGJUiaCS3oYNG+Tee++t7RGZ5WTd0VCspkcIqQMsfbGjPk4IIYQQQkh9QDGKVBXLlaaXEyVFCCEzgGXZTlEoc5ylGkUIIYQQQkhdQDGKVBV3BT1MAgkhZCYxvRDS9NgjEUIIIYQQUh+wmh6pKu5oKCvDqR8hZGbJSkBGlyyXbCQklgUbc0IIIXVPICDWIYdIZnjYXk0ghBDScFCMIlWFaXqEkHrCCoflmZe+RrqbI5JJskQ4IYTMCiIRkcsuk/H9+6Ud9wkhhDQcTNMjtYuMcpuZE0LIDGCyhUPBAA3MCSGEEEIIqRMoRpXI+vXrZe3atXLaaafV9ojMcnIEKHpGEUJmmKx2igoGhQbmhBBCCCGE1AkUo0pk3bp1smHDBrn33ntre0RmOzmRUaymRwiZWaxEUtb+8Jty6P98XQKpJA8HIYTMBpJJkauuktb16+37hBBCGg56RpHaVdNjmh4hZIZBNxSKj0tYwgzWJISQWURgbEwC4+MzvRmEEEJqBCOjSM0MzDnzI4TMNJZOF0YtJsv1mBBCCCGEEDJzUIwiVcU90csRpgghZAYwPVJQlwZnwCYhhBBCCCEzD8UoUjvPKEYgEEJmmKyJjLK1KLEceYoQQgghhBAyU1CMItXFHXbAEISCWKm0hPqG6atFSI0xmrgRo9gtEUIIIYQQMvNQjCJVxV1Bj5FRhRm+7ylpefAZSe/YxxZISA0x4pNJ02PAJiGEEEIIITMPxagSWb9+vaxdu1ZOO+202h6RhoqMomdUwd00Flf/pkftfwkhtQE90vjCRZJevEQsCVAkJ4SQ2UAgIP1dC2Vry/yJ0FZCCCENRXimN2C2sG7dOnUbGhqSzs7Omd6c+sUdGcV8mIKYqDGavBNSW6xIRDa98p+kfVmHWLuGmKZHCCGzgUhEdr7mn+XhHX2yNhKZ6a0hhBBSAxgZRaqLOweGYlRh9L7JMnqMkGkxMA/RwJwQQmYVKMrMoSQhhDQuFKNIdXGPGiym6U0q2nGURci0nGqhoK1G8ZQjhJDZs5jA+qeEENK4ME2PVBem6ZW4n5imR8h0kE2m5Kgf/4/Mm9csgRe+hgbmhBAyG0ilZOF3vyVHD46JnPRRkVhspreIEEJIlaEYRWoYGcX1rII4nlEZtkBCalzhMzo8JKFQEvblNDAnhJDZgGVJcHBAYsPxnErNhBBCGgem6ZHqQs+okgjogRVN3gmpLUYSD+pqTJzSEELI7Oq/mV5NCCGNCcUoUl3cq1ccPZTgGcWpMSHTYWBuKoObSpaEEEJmi70m+21CCGlEKEaR6uIeMHDwMOl+YmQUIbXFdENai6JGTgghswSzeMC1TUIIaUwoRpGqEnCNGBiBUMIMGXWLCSE1w3RJJk2PGjkhhMy2ND1GRhFCSCNCMapE1q9fL2vXrpXTTjuttkekoTyjKLRMKtpxHxFS4y4pN02PkxpCCJltaXozvSWEEEJqAcWoElm3bp1s2LBB7r333pociEYz5lb3uZJVGKbpETItWIGAJObNF1m4UCxVT48QQkjdg767e77E53Wz8AQhhDQo4ZneANJguAQopukVxhHqGBlFSE3JhsPy9KsvkzXH9Ij1+H72S4QQMhuIRGT7698iO/uGZU04MtNbQwghpAYwMorUzDPKfZ949hPFKEKmBZxqAZdnFLslQgiZHZi0aqZXE0JIY0IxilSVnNQ8pukVxvjYcGZMSE3BJCYYgBjFbokQQmYTjr0m1zYJIaQhYZoeqS4Uo0qCkVGETA9WKiVH/PwaCf2tQwLPupgr7IQQMhtIpWTFtd+TefGkZI/6gIjEZnqLCCGEVBmKUaRqwCMqmFNNj0tZk1fT4z4ipJZYWUua+nslGEko+3KecYQQMguwLIn09UpTIiVZ+msSQkhDwjQ9Uj08aXmsplcYnTEkAWui+iAhpDYiOc43bRlFA3NCCJklOPaaXEUghJCGhGIUqR7e0QI9owpPjjnCImRaUL2SUaI4qSGEkFmEMTCf6e0ghBBSCyhGkerhDaOmGOWPa78EGHpOyLRU0wu4xGBCCCH1jxGh2G8TQkhjQjGKVA/P0hXT9EoQozgxJqTm1fQQGBUIBJQgxRV2QgiZHZjREvttQghpTChGkaqRt3LF0YM/rv3iGJkTQmoaGaXOt8DE5IYQQkh9M+FowJ6bEEIaEYpRJbJ+/XpZu3atnHbaabU9IrMZT8oZo34K7SdGRhEyXWRQIbyjU6SrSyXrMd2DEELqH4yUEm0dkmjvkKyzpEAIIaSRCM/0BswW1q1bp25DQ0PS2dk505tTn9DAvDRcFfToGUVIbbEiEdn6xnfKsWt7JPDQHgZsEkLILOm7n3r92ySRTMhzwpyuEEJII8LIKFI9GBlVEpY7MsrzmBBSXXB6BQOuND2mexBCSN2TcY2NmKZHCCGNCcUoUj30wMFyCy2c+BXcT36RUoSQ6oI+COblIBgICM82QgiZXUMlrtkRQkhjwrhXUjUsHRmVDQUllMlOjCBCzPXP3VEeMQr7KhRiSySkBljJlKz8+f+KLG6X4KkX5p1+hBBC6o9sMimHX/9/kk6nJfvuy2d6cwghhNQAilGkeuhZnhUM2gKL6zlSOJ2RS36E1FYkb9q/TyQ7DPtyRmsSQsgsIJu1pPnAPslkMhwnEUJIg8I0PVL9ND2IUc5zTIrJwyPQmYgyQkj1UWebDs5UaXrUxwkhpO5x+0TRM4oQQhoTilGkemhRxXKnnDEyKo88w3KKUYTUDJxuJlFYGZg7rnaEEELqOTLKuc9umxBCGhKKUaRqmAgfy5SuAhxB+OworxjFURYhtTUwt+8HhZFRhBAy+wzMOU4ihJBGhGIUqX6aXiAoWT37YzW9wvvJwfhrEUJqHxnFOQ0hhMyyNL0Z3RRCCCE1gmIUqR5mtBAMiGVCETiC8NlPueITPaMIqR22IG73RwEVGcVZDSGE1Dtm+Ijem/02IYQ0JqymR6ovskCIMqEIFqN+Jk/T4z4ipFbgbMs2N4u0tEAnZ2QUIYTMAjKWJZmmZslmM1zXJISQBoViFKm+yBIMimXUKEZGlWBgzkgNQmpFJhKV3Ze/Vw47tFsCTx2ULA3MCSGk7smGI7LhTe+SQCYph0YiM705hBBCagDT9EjVcNLNkKZnTMwptOTDND1CptnAXKfpMTKKEEJmBWb4GAqy8AQhhDQqFKNI1bCMEbfLM4oG5sXLFStoYE5IzcDpZi506JaojxNCSP1jfKLCqt9mBDkhhDQiTNMj1U8/CwTtWZ96kgOI/P1EA3NCpo1UUnp+92uRBS0SOv1FYoW4BkMIIfVONpmUw373c4kFMjLymn+a6c0hhBBSAyhGkdqk6bGaXsmRUU5EGSGkJiJ5bNd2kZEmCZxu0TGKEEJmyVipdfcOiQWzMsRxEiGENCRcIiZVw8pMGJg7kVGsFOezn3LFpywHWYTUDGi/prhnMADvEUZrEkJIvZPRC3eYqHDJjhBCGhOKUSWyfv16Wbt2rZx22mm1PSKzGMvyiYzixC9/P3kioyhGEVLLfsmp7UkDc0IImSVg4QALCOi4uYhACCGNCcWoElm3bp1s2LBB7r333toekQaI+Am4IqNoYF6CZxQjowipGTjbjDaOf2hgTgghsySqFVoU1zUJIaRhoRhFqofbMypo0vSYEuPFK9BRjCKkdsAlKqBjo7DKTtcoQgiZPVGt9iICx5KEENKIUIwiVU8/C0CIooF54f3kiYTyRkoRQqqH6pZMZFSAmcOEEDKrIqMCXNckhJBGhdX0SNWAqBLwGpgbHykysZ88K3z0jCKkxudbOCwSidgG5ozWJISQugfRUIFwRKxAhpFRhBDSoFCMIjWIjHJX02Nodd5+8npE0TOKkJqRjUTlwPuukMVL2kW2D4g1luLeJoSQOicdjsjWd75f2gMJyVjRmd4cQgghNYBpeqR6GFGF1fSK4/WMomBHSM3A6WUs7GhgTgghs6jvVmubAckKFzYJIaQRYWQUqU1klJ79UWjx209ez6gMWyEhtTTB1ZGaNDAnhJDZk6aHPhur5vQvJ4SQxoRiFKke2h8qx8CcIwif3eStpscVP0JqhZVKS9cvfybS2SSBZ7+IXRIhhMwCsqm0LPv9dRKz0nLwha+Y6c0hhBBSA5imR6ofGRVCXLVuWqwUl483LY/7iJDakc1IdMtmkY0bJWRZNMIlhJBZgJXJSNu2LdKyfYtkOU4ihJCGhGIUqR56sKBSYkzLYmRUwTQ9R5LiIIuQmoHzTMdpquxhdkmEEFL/ZLJ2inXApwoxIYSQxoBiFKkevpFRHEDkoQdVFvaTj4cUIaQ6YAKDLiiQY2DOPokQQuod1XerfjvAoSQhhDQoFKNI9SOj3AbmnPgV9ozSYhRHWYTUhgnZye6PsMpOKYoQQuofLBxgIQG3LBc2CSGkIaEYRaousgRVZJQORWDUTz7Z3MgoyTAyipBaYLRwpukRQsjsFKPcjwkhhDQWFKNI1QjogYKqpmcio7ialY8R6JzIKIpRhNQCM3lxJjQBpHtwQkMIIbMjTS8wsbbJrpsQQhoOilGk+p5RSNPToweKUUU8o7CfXPuNEFJdvGcWDcwJIWSWpenpx7R9IISQxiM80xtAGggd4YM0PSVI0ZzbHxOZwcgoQmp+qmUjURm+8qPS1dUsgf0jkrXi3OuEEFLnpMNR2f3+D0ssPSbZAa7bEUJII8LIKFI9TEpMjmcUo34mMzAPcB8RUhPMSrpdHJwG5oQQMpsio0IBd5oex5OEENJoUIwi1cN4H2Hk4FTTox/SpAbm3EeE1ASj8+ruiGl6hBAyS4D4pIozO49neIMIIYRUHabpkaobmGP0oEzM6RnljxafHDGKIyxCaoIllgTSaWn+1S9FWiISeN6LlI8UIqYC7jJNhBBC6gorlZbu398ooXRcAqddyMgoQghpQBgZRWoThsA0vYI4aXnaV4tpeoTUsBqTlZXIU0+IbNggQR29Sf2XEELqm2w2I80bn5SmTU+rfpxpeoQQ0nhQjCLVw4mMQpqeMTBnXHWh/WQiozDIIoTUrksy2riJhkLEFCGEkPolm7W035/db3M4SQghjQfFKFI1TIQPKuk5KTA0nJy0mh4jowipDROlwI2Buf2IkxpCCJkFka0ItM/rzwkhhDQKUxKjMpmMjI6Oymzjne98pyxbtoyeIbWMjAoZzyhG/UxmYM7IKEJqg+l9zGTGGJlzTkMIIfUN0vJUXBQXEQghpGEpS4zq7e2Vr3/96/LSl75UFi1aJNFoVDo6OqS5uVlOOOEEefe73y2333671DtveMMb5IEHHpjpzWg4Ak41PURG0Zy7JNGOkVGE1Ayzku6k6WlZiivshBBSv6CPtiOjTK9ti1OEEELmoBi1fft2ueyyy1Q00X/+539KOByWd73rXfLf//3f8u1vf1s+/elPy3Oe8xy577775IUvfKEceeSRcu2115a8EZs2bZLLL79cTjzxRPXZxx57rO/7nnzySTnvvPOktbVVFi9eLFdccYUkk0kpl+c+97lKTCO1qqYXmKimx8FDwf00ERllcT8RUgO86XgmMoppeoQQUr+YPtqdpsd+mxBCGo9wKW9au3atXHrppfLnP/9Zzj777KLpbQcOHJCf//zn8qlPfUp27NghH/7whyf9/Mcff1xuuOEGedazniXZbFbdvPT398u5554rRxxxhFx//fWya9cu+cAHPiBjY2PyjW98o5SfQWqIKpWu78MzinHVRXeW/a8Ro8xzLDVPSJX7Jd0nYZV9ND7hPUIDc0IIqVtMFJTqs51FBEZGEULInBSjIBYdcsghJX3gwoULZd26dSpyavfu3SX9zcUXXywve9nL1H1EYCHCysvVV18tQ0ND8qtf/Uq6u7vVc+l0Wn3PRz7yEVm6dKl67uSTT1aRXF5OPfVU+eMf/1jS9pAKcC9ZITJKCy3CSnGTRkY5+4/lBAipKpi8ZMMRSV38ask8vV1i2/aIBNu5wk4IIXUMhkTou4c+cIXI+KBke0NCC1JCCGk8Spr+lipEuUH0FNL6StoIRNJMwo033qhSAI0QBV796lerKKqbbrrJeQ5eUAcPHsy7UYiqMe5RAqrpMR+myL4y6Yyudp+h0Tsh1UadafAc6R0WCUckunmHRNJpGpgTQkgdo6KgAgEJxqISiEbVfUZGEULIHI2McuMXdeQWlTo7O6W9vV2qDfyi3vKWt+Q819XVJUuWLFGv1YpEIqFuBkRngULphHMVK51x7mddKTCopsf95B8ZlTWCHe6n0xKIhKbhSJFGA+eXMntlf5RHJpNV4pMMjqjHgXRGjug9IJnsYu4vtiXCfonUcd9trxrAAgKJ1ZZkOJ4kU4BjJVIt2JYmp5w5Sdli1KpVq4p6Rpn3vO9975P3vOc9Ui3gGQXxycu8efOkr6+vrM9CKuBf/vIXdX/58uXy/Oc/X370ox/5vheG7Z/85Cd9vbEqMU9vVAKJlLS59k1mZERwtNKplOzfv3+Gt66+iGZt4W54ZERasPJnWXLwwAGxmqIzvWlklnb4g4ODSpAqJcp0LtE7lpGOgV4J33enWFhZP/F0Oay/Vw7s3iOJtthMb17dwbZE2JZIPTCaykpybFSyP7tRJDUuyRMukL5+kebU8ExvGpml8PpG2Jamj+Hh4dqJUf/3f/8nV155paqYB5+nnp4eJTbAy2njxo3KsPyuu+6S97///er91RSkqsU111xT8nvxW2GU7o6MWrFihfLG8hPH5irWWFzi6OwDIj2LFsnYuB39Ew6GZF5Pz0xvXl0xpN042zs7xAruF8lYMn9etwTbW2Z608gsHWBhgQB9EsWoXJKDcckkdkhw22YJzmuX8c42CY+My8L9w9J+2IoZOmL1C9sSYVsi9cBgPC1NuxLSvXWLSCouTaeFpaOzS3rmc5xEKoPXN1It2JYmp6mpSWomRv3tb3+TF73oRfLtb3875/l3v/vd8o53vEPuv/9+FWXU0dEh3/zmN6smRiECCqv/fhFTbh+pahOLxdTNCyZ9nPhNYILxrIC9XwIhnXIGX25Ga/im6SnPqAAiWbLKvI37iVQKxCj2Sb57RrrHxux7rc2SWXuoBO/ZIKFtu0VOWC3B1mY2OrYlUiPYL5FKUfWZcV0LBFRUK/5Df85xEmGfROoBXt+KU05fXXZOx09/+lO55JJLfF+79NJL5frrr1f3X/KSl8iWLVukWhx99NF53lAQp/bs2aNeI/Vhyo1BAwgaPySW4i0sRgVELL2f4K1FCKkuViYr8xLjdp/U2iSBnm450NIqgawlqUc3c3cTQkgdYszKzVASY0oamBNCSOMRrETpevjhh31fe+ihhxwlLBQKSXNz9VadL7zwQuXzNDAw4Dz3i1/8Qn3f+eefL7Vm/fr1snbtWjnttNNq/l2NIEY5leIoshQRowJiOftpwvSdEFIdQoPDEsL5Fg6JRCNqJeuJhYvUa+lndkt2DMnFhBBC6gkjPBmPWohSHCYRQkjjUXaa3hve8Ab52Mc+psy7L774YuVTAsPq3/zmN/KZz3xG3vnOd6r3IV0P4k0pjI2NyR/+8Ad1f9u2bcqX6brrrlOPn/e856nvuPzyy+XrX/+6vPzlL5ePfOQjsmvXLvnQhz6knl+6dKnUmnXr1qkbtg0VA0kuTmSPKzJKPcPIqKJilNlfgsoxhJCqEu6zU7sDLU12SHVApK+lVTLz2iXUPyyZ3QckeDi9owghpJ4wwpMpl4T+m5FRhBDSeJQtRn3pS1+ScDishCeIUgb4KkGs+cIXvqAeP/vZz5YLLrigpM+EATpS/NyYx7feequcc845yjPq5ptvVh5UEKTa29vlbW97m3z2s58t9yeQWqDFKJN2FjARPxSjckDFM6cWJYQoE4POCDJCqk6kf9BJ0bNPOft8S/XMt8WoXQclQjGKEELqiqxWo5xge0ZGEUJIQ1K2GBWJROTLX/6yEqIeeeQR2bt3ryxZskSOPfbYHCPx5z73uSV/5qpVq9QkfTLWrFmjUvVI/afpBYwoxbhq3/1k9pVJ04O3DSGkeuCaEu0fdszL1b/6tVRPtzQ9tVUye3vVuRcIlZ2xTgghZJoio5SRORc3CSGk4ShbjDIgUgkpdIQo3KlnNDAvjHswpUro2fsrSzGKkKpiDY5KMJ2WdDgigY/9u/KxC0Yi6rV0e5sEmmNijScku79PQksWcO8TQkidgJS8bDgimX/9Vxnt6xUZjdAzihBCGpCKloONX9OZZ54pRx11lPr3iiuuUM+TuZ6mZzcppukV308TaXo6MoppeoRUlcyBfvVvP6rntbeLtLY6/RLOwtBSW4BK7zrAPU8IIXWE8ocKBCTU1iZWS4sEA0HJMDKKEEIajrLFqMcee0yOO+44ufrqq1V63rnnnqv+xePjjz9eHn/8cWlEWE2vOJYTU+1K8HebdRO9oyxfMYqRUYRUl8x+LUa1tjrPGYs2nIWhpQvt9+0+yF1PCCF1RMbK7bMxVOJwkhBCGo+y0/T+9V//VVavXi033XSTStUz9Pf3y/nnn69ev/HGG6XRYDW9STCRPc7IwRhzU4zyE+0sj4E5PaMIqS7ZAwPq38FYTOSGG9T9wHnn627JktCS+er8s4bHJDs0KsGOCdGKEELIzBqYI8068Ic/SGxwUEInnMtqeoQQ0oCUHRl1xx13yEc/+tEcIQrg8b//+7+r18kcxGNgLgFW0yvFW8tJG8pkpuMoETInyI7FxRodV6LvYHOzyL33qlvApBMjAyQSluBC+zrG6ChCCKkf1IKBZCVw330SeeghCVpZrm0SQkgDUrYYFQ6HJZFI+L6G50OhUDW2i8zayCjdpJimV5pop6t4WSYmnRAy9e5Ip+gl21slGw7lp+lpUTi8zE7Vo28UIYTU11ApaDpsXU1P+UgRQgiZ22LUC1/4QhUB9fTTT+c8v3HjRvnYxz4m5513XjW3j8wSnJK7TmSUM+ubuY2qZ9HOiYzSaXo0MCekamT29al/x7s6nNLg9mkXUI9N9rAxMUdFPSuV5hEghJA6AMITBCgD7tL1gRBCGo+yxagvf/nLkk6nZe3atXLiiSfKBRdcICeddJKsWbNGPY/XGxEamE+CGSWYiCjzr9vcnDjinOV25aRnFCE1EaPGOjtyJjSqTwpozzbc72iVQFuz6r8ye+2/IYQQUgeRUa6um5FRhBDSmJQtRq1cuVIeffRRJTodeeSRks1m1b9f+cpX5JFHHpEVK1ZIIwID8w0bNsi98B4h+RgvFpOm554AMjrKtZ/8PaMYGUVIFf2ihsfU/bHO9pyuyDupQaTURFW9AzwEhBBSh5FREKaYpkcIIY1H2dX0QFtbm7z3ve9VN0LcIouJiMpZ0rKyleieDYkRnYxnVMDxjNLpe4SQqvhFBbs7JB0OS1B8IqNcwZqoqpd+ertkdPU9QgghM0sG1fQ8kVG01iSEkMaDCgGpCoiQU3ir6akXmaZncCKgHDHKeEZxHxFSzRS9YM88u2qeNzJKr7o7j1ub7XMwnuQBIISQuknTY2QUIYQ0OiVFRrW3I9XBM6IvAN43ODg41e0iswwnssdTTU9BoWViV+R5a+n9xcgoQqoqRoUWddvnWyQq8r732S9GIuoalSP9NkXtfxNJJQo70Z2EEEJmhIxlSSAaFetf/kVGDxyQQCQq2TQX7QghZE6KUR/84AdLFqPIHMVE/GhxxUz4lIE5BhUzu3V1Q9aITq40PewnekYRUl2/qNDCeWLtHbXLg3d1FUzTC8QiEw+SqQlxihBCyMx5Rum+20omJRiH1x/tDAghZE6KUZ/4xCdqvyWkoSJ+jC9SALM+GphP7BOfyCglRjEyipDq+UXNa1ciU1asogbm5hwUCFKJlErVC1CMIoSQukrTwwIng+wJIaTxoGdUiaxfv17Wrl0rp512Wm2PyCzFiCnuFBdj0u1ETRGXZ1Qwx8Cc+4iQKvpFLeq2+yBMaHDO3XSTfctkdLRm7t8FYnY0lBVP8DAQQkgdLHCGdN8dve02dZ/V9AghZI6KUa95zWvkoYceKvlD4/G4fOMb35Dvf//70iisW7dONmzYIPfee+9Mb0qdV9ObaFKW0aW4nDWxTwp5RnEfETJlMjoyCn5RE2JURuTOO+1bJuNbItxEQ9HEnBBCZh4MiULZjATuukui992n+nEOkwghZI6m6a1cuVKe/exny5FHHimXXHKJun/88cdLd7c94E8mk7Jlyxa5//775cYbb5Tf/va36r1XX311rbef1FHEj5JX3JFRximKaXr5+8nlGaVg9BghUyI7nhBraNTxi1LPKb+63Dy9PANztxiVYEU9QgiZadB3h13jSdyF/yghhJA5GBl11VVXyaZNm+SlL32pfO9735Nzzz1XFi5cKJFIRFpaWqS5uVmlsF122WUyNDQk1157rYogOuWUU2r/C0idRfwEfdL0OIDI30963zAyipCqkDUpetovSp1vnsKeAN2St0tiZBQhhNSZgbnLMwr3MxxLEkLI3IyMAkuWLJFPfvKT6rZ582YlNu3Zs0el5CFC6qijjpLTTz9diVNkDqIje3LT9OyBBFez3LspayvAZpBlZsqMjCKkqn5Rdt8zcaoZghLI65MoRhFCSL0ZmEtuZNRMbhAhhJCZFaPcrF69Wt0I8Ub8uA3MnVkghZaJ/ZTJ3U9M0yOkumKU8YtyUj08apRvZFQsZp+fcabpEUJIXURG5aTpBSaqNhNCCGkYWE2P1Dwyip5R+fvJVNMzaXoBDrIIqbz7GRgWa3hMLZ+Hemy/KNP1eAKj1KQmPzJKp/VRjCKEkBkHBZq9a5scJhFCSONBMYrULDKKnlEl7Cfzr6VFKkJI2aS37lX/hpYukEDUFpZAFmUUfCKj8g3MdWQUDcwJIaQuIqNCrvEk+nFvFVRCCCFzNE1vLrJ+/Xp1y2QyM70p9R0ZZarDqQeMjPJiGdHJY2DOyChCKgNRTulte9T98CFLPK+JLU696132E5EIDcwJIaTOUZVQozGx/t//k7GDByUYjUjWSsz0ZhFCCKkyjIwqkXXr1smGDRuUcTvxwS8ySt93KsiR/KqDTjU9RkYRUgnZviGxRsZFQiEJLV+YL0ahH+rpsW+BgL+BeSxq30mlxUJ+CCGEkJk1MNd9d3bBAgkGgyqilQVxCCGksaAYRaqDjvgJhEITT9HA3Gc3adFO7xvHyJzh54RURHqrHRUFISoQDueb4Hpco3y9R6JhJ5KTqXqEEFIHaXquFGt4/dnPz+BGEUIIqR8x6oknnpAf/ehH8rnPfU727rX9OjZt2iTDw8PV3D7SCNX0KLRMkOcZxTQ9QirudyxLMtvs60/4kMU+ryMFNiNy2232LZPxNzAPBCTQZEdH0cScEEJmFlTOC+q+O3rnnfZ9LVIRQgiZw55RY2Nj8ra3vU1+/vOf24aC2ay86EUvksWLF8uVV14phx56qPzXf/1XbbaWzKpqehSj8rFMOp7ZT9pjK8A0PULK73YODIg1nhCJhCW0dGH+62JJCOcWhChw1lkFqzJBjMJnWXH6khBCyEySQZqelZXA7bdLdHRUgmedq55nZBQhhMzxyKh//dd/lVtuuUX+8Ic/yNDQUM4K80UXXSR//OMfq72NZDagRwjBEKvpFcXyr6bHND1CKk/RC6/oyS2e4DrdPMX0VNJeITFK/U08yUNBCCEziEqxzknTm3ieEELIHI6Muu666+Sqq66S888/P6+y3KpVq2Tr1q3V3D4y60QW14SQBub5u8mJIDOeUToyigMsQsrrcrJZSW+3U/RCnip6E91S7oTG7paQpudjUm5MzClGEULIjIF+WxmY57g+0DOKEEIakbIjo0ZGRmTJEv+B/+joaDW2icxCTJpZTnQCPaOKeEblVtMLWharxBBSBpldB0QSKZFYREKLuwueboFSDMwZGUUIIXWBU3TYJzKK1fQIIWSOi1HHH3+8/PKXv/R97YYbbpBTTz21GttFZhs6sgfld52nHDGKpdLzRllm37iX/miGQEhRsmNxST2xVcZvvEsSf31IPRdeuTg3ItPdLXlOMfuUC4ilXimQppdgmh4hhMwUJhUvV4xiZBQhhDQiZafpfexjH5OXvexlysj80ksvVaGz99xzj/zkJz+R73//+8pLiszppay8sGqKLBOYVT1vNT17P2UdQ3NCiKeLGR6V8RvuFMlocTsQkNCSBRI9/vAi3ZI10Q85/ZJ/gc9AU8w+R5mmRwgh9TScpGcUIYQ0KGWLUS9+8Yvlpz/9qXzoQx+Sa6+9Vj33rne9S5YvX64ev+AFL5BGZP369erm9ckiklsNzh0ZNeE4yd1k8O4nrxhFCPEle3BQCVGB5phEjj1MwisXOQJSIcoyMI9F7L+hGEUIITMeGRVyqVGMjCKEkMakbDEKXHLJJer29NNPy8GDB6W7u1uOPvpoaWTWrVunbqgg2NnZOdObU394I37UAyfJf4Y2qg4x+0LvG+wvPINHVtbyuNsQQtwpeiC0eL5EjlxZ4ulmSSAcFnn72+0nwmFtYF4kTY9iFCGEzHyaXiQi1tveJmMHD0o4Yk9XWE2PEEIai4rEKMORRx6pboQ4Ios70kcLLhBZSOH4c0SQBfC8ST8ihORhjdpiVKC1qeS9gzMqEAqJLFqW0y35nWlOml4iaYtY3pAqQggh0zdMgm3BsmWSjUQkiH6cYhQhhMxNMepTn/pUWR/6H//xH5VuD5mlKDGlUJI/DczzI8hcE10rAAEvwzQ9QqosRvml6RWOjLLT9JQonM6I6JV4Qggh00c2m29gTgtSQghpTEoabX/lK1/JeZxMJmV8fFzdb2pqknjcniQ0NzdLLBajGDUHCfhGRun7jIyaIOuznyDawYqM+4mQglhj9jUn0NJc8l5CSkcQXmx//7v9xBlnqNPN1zMK6XzhkBKikKoXqECMyuztlexoXCKrJyKxCCGElNGPmmFSNiPy939IpL9fQi843+nTCSGENA4lle7q7+93bn/+859l0aJF8r3vfU8GBwdVVT38+93vflc9/6c//an2W03qCpXS4hPxMxEZxcHDxM7K+qTp2aehRQNzQib1jAqWGxmFohN//rN9y2Rsf7YCfZKfb1TqqW2SuHeDWCWk0Sb+/ogk735MssNjPJKEEDIVzygrK4G//EVif/2rBCBMcThJCCENR9lLv+9+97tVJb03v/nNznPt7e3ylre8RUVLweT7nnvuqfZ2knrGPbHLMTDX/zLiZwKzL/xEO4pRhPh3Mam0SDJtnzotpYlREJwsT5dkn3p20QA/ArGoWCPjjhiF703e/5Tq44IdrRI56pDC35fJTvzdyLhIewuPJiGEVFpNL+BXTY+Lm4QQMucio9w8/PDDcuihh/q+tnr1annssceqsV1kNuEWm3LSz3TEDwcPEzjpjF7PKO1VQwgp6Bcl0XDJ6XMTum+uGlUoTS8nMiqRsE/J/f3OOZt8dLMtihUAxufOd4/r7SWEEFIWZl3Oz4KUa5uEEDLHxahVq1bJ1VdfnScw4PE3v/lNOeSQwivHpEFxR/S4xChnEsiInwmswpFRWe4nQvy7mFHbLyrYWrpflLlCBfwio0pM04MHlEMiJakNWwp/nyu1zxq3xSxCCCEVpun5RUZRjSKEkLmdpvf5z39eLrnkEjniiCPk4osvlp6eHtm/f7/87ne/k23btsl1111Xmy0lsyQyKl9ksTh4yNtXAZ8Isiy8bQgheVjaL6rUFD31Nz4TmpIjo7SwlNViVOiQxZLZtldST2yV8BErJOizHVZ8QoCiGEUIIZVRrDgz48cJIWSOi1Eve9nL5N5771Wi1G9+8xvZs2ePLFmyRE4//XQlRJ144om12VJStxjjbcubEsNqeoWrDuZERul0xjS9EAgplqYXKMO83EnT856DJRqYQ1zKDoyox7FTj5b4aFyyBwck9ehmiT3rmPxtZGQUIYRMmYxZSHCpURhb4hEjowghpLEov3a1iBKcfvrTn1Z/a8jsRM/6LG8+jImMMhXkiMczKnf5j2l6hBRP0wu0NE85MmoyA3P1t4mkZPb22X/f1SaBpphETzpS4n++R9Kbd0rk6EMk2NmW+8duMWqMaXqEEFKtND37MQ3MCSGk0ahIjJqLrF+/Xt0yTKXKR4tNXjEqwDS9SSKj9P2QjoyigTkhRdP0gpVERsHw/LLL7AfhsAQDKfUaxCqvubk7MiqzT4tRi+fbp2nPPAmt6JHMjv2SfGSTND0nNwqYkVGEEFLFNL1IWKw3vUnGe3ulJRwuupBAJtjaNy6P7xuWF6/p4W4hhDSeGHXuuedO+p5bbrlFGo1169ap29DQkHR2ds705syOyCjHwJzDh2LV9Ix/VJZiFCFVS9NzDMwh9q5a5eqWdMSmTwqfaDEKUU7GvDykxSgQOXqVEqOyBweLVtOzxuO+YhchhNQTt2zqlUVtUTlmcbvUC0jFQ88ZDIUku2qVZFpalJ0Bhk0ZjicnZax/WFr29Ur2qAUSdPuTEkJII4hRHR0deQPs/v5+eeCBB6Srq0tOPfXUam4fmU1ilNtt0m3SzSpxE/vE15nTREbRwJwQLyiA4BiYl1NNz6R6eCQnMzRXL3v186aY/ZpJuQsEVESU87oWw2BQ7hWb3JFRqk9MpkR02h8hZPZi+pJGE5cRjX3UY09IurNdZPEJUk9pep7hpJO2V8Duj7hY8ORmOWRgSNIHFkl0UTf3DZmRcVtmX6+EFnTZ0emEFKHsFvLrX//a9/mDBw/KS1/6Unnta19b7keSRjEwL+gZxdFDfppe0AndcNIZM9xPhPhWqcN5AwNbLRaVlaaXzYjcc4/94JRTnAklJjwhjxoViEVyu7D5nTkDqUCz/n5sD8Qn89grRmnfKONBRQiZvZOqLX9+QMLzO2TlqUdII5EdHJGu0VFJx22xv15A3x1SYVAZkXvvlUh/v8gLX0jPqBIJ68qu6ZFxiS6q5ZEixJ/Utj2SuvNRkdXLpfWM/IIvhLipWvzmggUL5IorrpCPfvSj1fpIMuvS9HKbk7OKyLDqCcwKq3vZz3hGMYKMzPAqeXZguH5T9FpiuedNqZFROK/+8Af7lsk42cN+GrmK5oxOCFKhxd15rxtfqex4rkn5RDSV+L5OCJl9ZPuHZNHBg9K5eXtJ779/56Bs67cLLtQ9Ohpb9ZF1Vk1PmZejv77xRondfLO6j+c4nJycUDpt78dEqubHihA/4vv61b/JoTHuIDIpVU0mhrn33r17q/mRZDZgBjJ5kVFGZGHEj7+BuTcyqr4GhGRukXr8GRm/4U5JPV3apGu6sCqopAfM2VQgYLNwRT3jG+Xxi3Jeb9Gpejp1UN23LDuCC693tNrPUYwiZNZjvODC6XRJqfQH9g/K/v5RmRXoMUcQ/VcdjT/gGeWfpsdqepOBa1EobbdTilFkpsgMjNjtkfYjpBZpevCG8pJMJuWJJ56QT37yk3L66aeX+5FktmMV8owqEoIw18Uot4E5I6NIHZDttU25U49vkfDhyyc836aIlUypynShpQudtl7Wdo2Vb16uvtfovp7nA/oZUz7cT4yyhkZFQiEJLujKf70lJtJnp+E5pNJOBGhwXodkBkeViTmpX7BIUk6kHZkZZroQQNoVXWKNJyXQVlgURzTks598UsZbW0QOO1vqnSz6LQOiaUL1kVaMrlRFRnlgZFQJpDPONS/n+BIyjQSHbUE+oIVRQqoqRsGg3DswMOkQz3rWs+R//ud/yv1I0qCeUU7ET52FgNdfZFRI/VtPK5Nk7mEieRDxk9m+T8KrllTlc5MPb5L009slevpaiRyxouI0vWDZYpQWhzz90mQauYmMCvV0+YpngWZjYh7PT9GLhCXY1iwYfuWIVaSuSG/dI4m7H5fY2cdLeDnLn9crELIRrRnsmSdNzz5+RrYhDQHK3UcWEaMyQ6MqyqhpbHak6WXTE2MOCyJG6ZZ8M2JgjrlHoUUEYmO5xVOm6ZEZiiYNo4ALYGQUqYUYdeutt+Y919TUJMuXL5dly5aV+3GkEfCrEAeKmbPIXI+MmpjkBkIBO2VomtMZ01lL9g4lZHlXeZN80phkRuPOpCv1xFYJHbK4KhEJiIoC1khlEzRrrLI0PXM2eX+C28Dcj2xnm4jsk8AKf5FCRUZ5xCYjRkHIMibnTNOrX9I796tBcmZvL8WoOibbN6TE8dT2fRI7a2YipJDqZAbKmbG42EtH/qR1PxDKZmdF5F1uZFT9RDCoyCiffYe1Abo+TC7gOvcZGUVmgOzgRJpygIvspBZi1KGHHipLliyRSCS36hBIp9Oye/duWblyZbkfSxrQwDxoogo4eigeGRUKqonzdEeQ7e4fk4ef2ifdp66UlihLr85lEJUX0INYRDhiEpjd3y+hKZaFxmDYGhzJGyRXZGBeZmRUtkBklKORF/i7g8uWyCMjAXn2ssXiFyhQLDIK1fMmXmdkVL2i0jB12hWpX7Ja8FUG257qldO2Da7oktRoXKKTiFFBd9qbqxhCPZJ1CVAQpqpqIjtFA/OQj/CIFGtGRk2CS4AKUIwiM0Cyf6IQToCRUaQEgpWIUQ8++KDvaw8//LB6ncwxjIjiXcmiZ1QeZg+5V0xNmp4xE50uok88I+du2SjJ7fun9XtJ/WGElUwgIMNLe5zoqGr5UKnvSFbmX5GtOE1vEgPzAmrUWMaSwaZmSWb83xDUkVFmopwXGWUip+pQjLLSaUnvOjCnU6cRsZI1YlSi/o4RyfeLU/d1IYPpJusS0dO6Lyr4XpOuO4X+bqbEqEwdba+dpufjGcXIqMn3nTbcV1CMIjNAom/IuR9kZBSphRhlfDj8SCQSEovVSdI5mTacanl5EQimxjnT9NR+wgDLZ4YcDJn9NL0TxLCOWEHpajK3MSln8XBEdiy0xajMrgOS1W2kUjI5YlT5kVEqzUD/XaC1zGp65lQLh0Ve/3r7Fg5PamA+mrQnaAmXn4pvNT13ZJQWNbxpesWulzNB6rEtkrjtAUk++LTMVVTapx4gMzKqvkm7BKhK03ynitt3B2l6xcjE3SlSlUWCzpQYla4rMUovGoTDYr3udTL+ileo+7aBeX31qfVG2tUGGRlFZoLMwESaHqJa620cNNc5uHWvbPrjvZJxC9czTEm5OU8++aRs2LDBeXzbbbfJzp07c94Tj8flJz/5iRx22GHV30pSkEz/kGS27ZPIMYdKIDJDqVaWf2SUU43LvD7XcffHvtX0prfDDuqOyKRBkbkLfFnAeDgs+yQkxy/vkczO/ZJ6cpvEnnVMxZ+bPTghRhlRqZLtgjF4uf2bY2AeCokceWTpkVFajEoVWNEzYpMk07bpbziUGxmlDdDVF8xQatFk4iAM5SNHrZRgW4vMZT8LdyQLqT8yownHoyk9PFa+r0Q1cEeXTBLt6Bbckd5XzF+qHkD/JXVYeS2b1ZFRGEMeeaRk9u9X9zFS4rx2co8zM7oMIlWUkGkmNDJxjVVgLBWu995w7hB4cpss6R2Q1I79Ejp8udQDJV3bf/azn8knP/lJJ9rlwx/+sO/7urq65JprrqnuFpKipB7ZJJmdByTQ0SqRw5bOrGeUpxS8k4rGyKh8Uc69r8z9CiOjKi19HU7qCTRL0M95TEpZPBKR4URGgketVGJUestuiZ50pAQq8D5Bu8xN00tVnKJnopHK+v4KDczHUjoyqkCaHoQxNbBKZ5RYhr7XiFF92YDs3TMiRzZF1XMo9R6qIzHK0uWW0SejyuFMVSirB78oAJ80pCw6CyekrnBHH6aGxmSyXmDjgVHpao7IwrZizk7lEXBHOE2ykuzu49KJlERmkRhVyzQ9XAt2DsZlWWeTb/pdwcgoDzA1z3A8WXzfJSdE0GAdmdKTuQH6wIh3rId2SDGqbgjo41NPCxAljcDe9773yZYtW+SZZ55RF5Xrr79ePXbfdu3aJb29vfLSl7609ltNHEyagRWfQe8LI6IECkVGMUTT3k+u/eDeV1MQo7LDozL2y1sl+ejmstOfQjryIzDHowMcH5053E6NN0sqGlUizlBbmy0AZbKSHagsVQ9Cjds3qVQPFfcEyVTSK9cvKsfAHOfVQw/Zt0xmUgNzExmVLJSmFwjkVcwzYtSBlMiOwbgrlW/6+2V4fSXuejQv0hL71R0Fmdm6RzIub4e5gvGLqufy5+iLkEqZ3r5X5jIB1/mTGRmb9P2P7h2WTb2eVfkpEnQN2EOTpTW4+jiIUV5wTtZVhTO3GFXD7cICx1+f6ZcDI8nSPaOgRsH8+KGHJPzYY+o+nmKa3iT7ztXu7KqOzEwg00dGjxfTsahktaLsHtPNFhAZv2+4MT0lA/p4ZPTC66yJjOrs7FQ3AOEJ1fSi0eqtPJHKcQY2FVaqqgp60uMtY+w8nsOT/Bzc+yHoJ0aVv58yuw6KJFIqikWOW136prgG+eG47W0zE2Wz64HEPzaoiXn09LUSOWKFzEVMewi3NqkQ/4F4WloR8TMWl+zwmIR65pX9mSYqCmlrSqxJpSZtZ6mntkvy/iclcuxhEjlutauSXnP5v8l4RmFC8+tf2w/WrpWgTmLw65Yw0RlP2YP3RBHjTZiUW8NjThqhEaNGAyFJozKhI1bFp1/EeHiTmriFD18uoYUTxw3bq4iGJbRkgWS27ZXUQ09L6NxTZa6m6TkLOXUUvWbOndSGLWo1ObSsx0nlnktAuAnq6F0QmMw8HH3LaFzGjQdjlXBHl4RRHRTnd4Hj4Y6iQrqUl8QdD0tm9wFpfulzJFhBtGe1sVyVrqwaTkzSWhAp5MPnV00vgurMWDz4zW+kaXRU5OyztWdUzTazIciLQMYcIcb5Gpke4n1DaoRldbRKtn9Ygtm0LSrPMvY+sUOSm3bJggtOqavo9mousExVJIT+MPbg0xI7dKmEF3ZNbZtKeVNfX59k9cWkvb1dRkZG1HOFbiSfvUMJ+c1j+6q+qmMuPLWu3IIJKaJwfLdBt438NL3KRZa5FBllRLtAJZFRA8MVRWA4XjwmcqSOzEunE0xEMzr6QAl6fu+ZAyuLxsAcIkpHU1j6x1MS7GjJS2uqxC8qtHSB/pLJq/tgogaVKPXoZknes0Gy2rS4kjS9AnUViqbpQYjCs4EikVHqM5qbcirqGTFqJBCUdNaaEKNcFfemA9UP6IGfN6LNRAQF21slesIRShDP7OmVzN5emS3sum+jbPvTfVM6J7NDunCDeaIOI0Od63k6I5n9c3NMZSWSEnCdoiEsmhQZS4wPjcsLNz8lRz/5dFXF3ZBnIlUsCt0dRZX1uaam9veraFNrioUhqoZLcK9lyob5mlLFKJzefml66LoZGVUc71xgNlR1JI1Dos+ek4Q728QyfrizMDKqeesuWTw6LCks+DcQluua5i5gUQnJbXtFNu6Q4Yc2TXm7ShKjFi5cKPfdd5+6v2DBAvW42I3ks2c4ISPJjKQK+ZBU2KgcMaqGqQZYCRz/490yfuPd/p2KiYzyzPqCM5iml9q4Q1JPTr00fTUxaWBWwLOvQpWLdmbCiclwOQboXvHKLU7VGgib9XJxSm3e5ez3zL4+1dbdoJrc2C9ukcR9T0gjYyJ4IKLAc6V/LK1EC1BIhJ6MjBajgj3dThufbGDsTqFKb9qpItbcaXpP7h+Rg6PJ8gzMvf1SkYBNk6IHQS5ZJDIq2DIR+aSEEd0PD1mBXDFqmtP0nOgnVSXTHhQ6j/VxDHa0SrC9RcKH21GA/f94YtakqLZt2iYLDvaqc7USlGior5UDzc05QmJd4TIehifkXMRck5KRsGSRGovxTpFIw2TfkBrQdoyPSapaE/Bk2jGDTkcik57ToRwxymdMpiOn6iZVz50SXcNrMvpEUKxPdQPBKeQTQcvIqDI9zuqprZE5gaUjj2Pd7ZJF8RhQJ+P9cjAp2ZmZzDqqBYg2NXPRqYpRerxZiR9sRWl63//+92X16tXO/bmYzrN+/Xp1yxQJN7x3x4Ca4Jy+Mj9cDZEG5mIcC1cp5B7h4mYiXcMSjcr01ohew2MSmNee87qJmssx5Z7BND1cfBFVAUIrF9dFOHxOSLz3/Jmk6iB+D9I2gou6c849ZRBtVlixj9EGSgwnTXtSHuAZFPQc11oAb6bE7Q9IeNVSiZ11nMwk2H8QPBzgj3SgX0KL5ztPpSFWITphx36RU9dII6JEbRMZ1dok82Jh2T0Ul8ACOzIqOzRW/mdms5LVfkShBZ3KAB2TOPui5Z9ypzyNdCRU9LQ1krz/KcdHDWl62M4Hdw1JKBiQFxw+X+a3RqdmYO7jGmXMyyHIDcXTk0ZGYb85CwGBgIwHQ+qLraaZEaOyLl8db2SUpY+jMly3LHl03gI5PLhTmkdGJbPnoISX1sdCkhKEg4G8cQb6wbDuQ5P7+iW8REfclYERO8fCEUk2NYmMj9elGOVOmUrv3C/RU4+ec+Mu0yelYzGxQmmJITIK/UOBlN3UaELQI2AvjfUOSueS+VPfBmP0GgxKpjkmYaQaFzin0ee5o6jyIlTSGQmaYi/1Eq3iEofgnVi7r7F/d6mLscrA3AyL4kkJDo1JBtfmbIyRUZPhFZ9m4WQafj3o78J+4XGkrgnpMUiwq21iEXKWiVEqesgx+Z5d2z4Z7mvPVI9LZiyhFoACVRC8SxKj3vSmNzn3L7vsMpmLrFu3Tt2GhoYc/ywvvaMpiRcIQ+4fsxt2VSOjPGWEa4V7UoPV9TzRwhGjCnhGTXOaXs72Do7UjRiFcsXAgheCi4k0Pf/9pIxsN+5Q4k340ImKiWpg7i7NHC+9chfEqMA0R0ahg089vFFN1h0RbQbJ7u2192EkrASozI59Km3JiFFKrNq+b8KMO52WQHhGiovXFvQj+hwOtTTJvGhY9VPxZts/SnkjIdqnjIGhOgcxMYuElfgBnyJVFr3IwNjtaRQ+YoUEO9skfvuDatsQzYO+FacI4hNu3dQrLzxygRKNCm6DFsG9W20eF4qMwgC4PRYqGoEFzygnMkqn7VioOGiErqbozEdGDQzneHQZISbQ3ix3bxuQLUMpWdCzQBbu3S+JjTvrQozCvhz73R0SXtaTJ1a792X6wEBFn2/2wXAsJmH0lf31Hxkl8G0bGJbQvA6ZS5goKJxLgWxYJJ6Q7Oi4UynMS9oVNZXsHRapohhloYImBOahEcmMxf0Hzl6ByRuh4ur7sNpeF5X23IurJabQVfQ1urMt5sOXZ2AeCEhq806xNu2UMLzwbrlfjg5HZGVTkyRTQxI55rA56aVWsh9MMKisH2ZjZNQdW/qlPRaWU1f4z7WIyOB4Srb2j8sJS+vnuoA+Lqp9/jB+s2ZrZFQ6o8z/C0a4zmaS1ROjUC0aBKqwkMGevIqMpzIymsxI3KOk4nkjUkHxrxqui0w1wuRKSZ3xi5KwjMDmiYwK6oGCCQms6jaNjkv8749Iend+Pq9b6LAqrARWCxyfk0KRUQV8UCy90uD1dvEKOuVMfE31NEtvy3SIUYguMqlD9TBASm20o6Ig8IVX9OTtY0T2WKPjE48riBCaTREIiVBIopGwI/D0B0K2wIwBra5qV655eXB+h119zqS4FIkIcDyNOlrV34QWdUvLS8+W5ovOUibo6EfBsw/tlpZoWG7e2Fs0egndDjY/L324SMAm+u+WaEiioWBxz6gWV2SUFjOyEKPMb9GGsdOZ/qq+1yVG4frgGKwjilKn6T08nJEtfeNy1qp50n3MKvt1VJOcgcp/viJmMi1peId5cO/LAM7NCq4rpo0lmpskaATDmaxEWwDvauxcTNVzrlEQDXU0VLpIH2wGxiCjvRSnSlqf2xCjTOptaiReonG0Z6DvXjysk8iogHs8WsvIqERSDu89UHJ/iCjyxRu32BHuiNzFYkZTTC0ktMbjylMw/qe7K670Wo9gwQeLL1h8rIbhPiL51L91WC10MlIj4zKuo6SJP33P7JHoA0/UlViS1udjJhZV0fCixahZFxnlupZka9gvzgSWu71MVY/QY6dgFQzqS1rmP+6440oOEcf7Hn74YZlrYGC8Ys9eZYraO9YtyzpDOVFRi4eHZFV/n6SXtom0V8eZ3+0TVY0wuULkiDs+/jFGZJmuanqYPMRvvs+O2BgalbAxSPbZXmPwXQ9MiHaec2kS0c4INxlPNID3t1njybI722Rbi8SGRyUzSaWiqlT5etRlcjfDFydMXIxheeTw5SJ6YqoEqHhSiR8ZHRVlUKaz3fWzClXtSV88HJFoOCDNkaDEQgEZiGdkfnuL8gCAEBdsaynfvHy+nbKsBiaTiOZuMcoQwAREp7yNJe1+pqs5LOce3i1/2dgrN288KC9Z2yMRnxVyVV3L53uKGZgjTa8lEpJoOCiprKXSS5AWmPcZLk8ocy6lXWIUyhqHHS+37EQxh2mMjAKYrAUxkUcKbzKtEhM3xkXOOmyerOpulqzVJLuam6V7fFxSz+yS8BpbnJopnEFrIqXuB8KhvHYKgum06vsDnW0V+Vlk2lrUOa4+tw4jo4xYkQoGJZLNll0ttRFACgAINjdJWFfISw2NFUjyFQm4jmOgwqILXlK4FuBONCKhVj25L1CUwNu3ecdk7vFavQgEbjEqR5iqMk3b98qx+/fKXsmIHL246HuxH0/avFm6UEEPx39Rt8RbItLysufIhj0jMrrjgBy7f49a2Bq/8S6JnnSEhI86ZNI5CsZLibsek+hJR+ak4tcLFqLudu6XTDAgkROPqCgtFynOqiANfi9SyUfHa5o1UQsw3n3WE09IEgtYa4q3lblM+zM7pGdoRFJ7eiV2SH3sp7HeIVtUMGM4bUlTyxTgWpB1RdnWssrozItRmSl9VlBfcyGAT7Uie0li1CmnnDLn/ArKJT48LmsO2JPXrX3LZFlnU45f1NG9+6VrfFyG9h4QWVydCa07ugQDn6k2hkLkiDt+kVHGwNzrGaW3RRmPVmnbcCLFb7nfmXRhBdQ72ctJ06ujlbPsJJFRharpmWgSJb6hwpCOusjzhCkjsiFgUouQ+jE8Ktkai1EQdlSUmsr7mvnIKOUFhVSABV1O2in+xQAX0VGhQxZLeod9PmPSClHBHSHYSJh2Mx6OyIJQUJ2nXS0RXVGvVTKDo1qELt2jJ9NrC6fBBTrMHivboAQxSqX1+QChCLpQU9jexrMPnSc3PHFADowmZWlHfiquqoqHcw2plZdeaj8ZDktQa1B+0i/S9BAZFtPiFiJZQ/CBKiBGqVV7fR4mXSmc6XBYwvhuvI4JrYmkSqYcYa7aqOgnvZps2rISrJctdPptrJbD/2ZFl709SIXZv3ChdG/frvzTQkcfUpVtST7wlGT6h6TpuSdJAClOlRgqj8Vz2oI3qgLiPFIBKqmkF+pslZAeKGfLEPGnC1PZbLxnvkT2HlAiOQT0YIOVmC4GrkkBnTocbQqr8zU7WjgyKuDyzYy6vNOmQjpup9PhnA23NtnbUMBE3VtExpu6kGOrUAeRwSCQnTjfAjUsv26OTcvI5NfQ1FPbZd7oqDI/bn7OCRI8+RCJ9/VJSzisvPh2zZsnp512mCTvfkwyuw8qb0H0e7FJPB1RrATnUfKRTdJcj2KU6YcwnkZb0eO8sjBppfifvubMNgNmRPeGs1kJJxJ5CxJkgpDub+olyhIk+4aVqBCGXxTQx65efZdUsRkVD5A7J0uPuuZSsyyqazLS7uvUFH6b21dL7T1cP6ZgY1LSX15zzTUVf8FcKmdpphjJg0Mih074bwyMJmRlXIecV3MV1nWRUY0BA5wqT3Qg9Bjj24KVtQp5RrmjFRCFMEUxChem+G0P2oJBJKIe46KF1W63qbq7bDKEtHL9bmpF1kRGefbDZJ5R7nRMVCgLL1uYExk1GGuSzsSEd00pnYhRtEPzO0W278mJOqg22P8mKiq8erltGl4FJb0axuXhI5Y7z2O1VLWtPQcl0NlqC56hoISPXCGpRzY3rhhlIqMiYSfCaF5zRHYNxlVFPVyusoOjsqV3THraY9IaLT44hNBoIlBgXg4CscnT9BDp4o2M8gpFzZGQ02Y6m8IqguvgSAExSqfpKbH3mGOc5815VigyamlHTCI6EiOZsaTJp0uF+G1EyoxOPU2EwspvCgOcNLq75pjtNQaxr6VJTYKQXhI7+wQJ12IlE4MM3VeElvfYYpTeNtN2YdqNyDf34Cu+eIGkd+6U8Mi4ZPf1Tzl5H4J56gm7kmn6md0SOWpl6X/rNoBGiqyrLZjozQxSOCG8HRwQQVRjGZ/tGOR3tUskm67fNL10Wh2GWFebDAyOStf4mGR27ZegroA4F4Dog54m0tYs0ZaI4CgFiiyahF3joSiMxhMpp9+peBv0wD0Yi0i0pUltgxQYw5kIu2wkrHx7Qp6BvjtCpV4MzN3RUNVItSiI7pda4vFJr/vqvMa4efVKaV+5WLLZHknv36/6cTtr3FKibOyckyX99A5J3veEpJ/aLqFF8510ez/MuDB7YED1yc6CQp3g7ofU9lUgRhnBMxMKOW2/mmIFCtBgfBQ96aia+XWl3Om24wkJt5cekT2XCGlPumwdiSVmDBfR87GATtPL1In47gb90KY7HpdQJCxHnHl0zmup0fjEMMhn2zGWwIJ2oAK9eKZJm2jfqUbDJlMSdI2hcU2biqducKoH88CBA7OmLPR05MqCgDaONST7R5yD5l69myresPBa+EapCbllqQmAkz7hWQEsFBmV4yFVhTaSuPMRVe0MpsiPHLHaKc2NFXjna5IT1W5QDho5sVaR1dRpRVfLs4IFIqMmSdMzAyn1HCq/aZFwdF5neZFRiM7Q3xU2YgGMmGt0Hme277XFiWhYIu5UkxqmBRTdnj299kQXRtkrJ0SBkDa8xeuZbXZUVGjpAgl22/toLkRGIT3NiFHDiYxk2+xzbKRvWO6E6XXf5OeSqaKHynwmxW6yND0V1TOZGKVT6AyY0Cxoi8qBUf/PzBaY9BQyMEdKXjyVVZ5RpuJpogTfqKzuf+LBkHTEwhMrbq5UvkzfkKQee0Y9Tm3aIbX0i8J2BSEyu6InzSBxtKkpT0xsb43J7q556n5ms6u6ZIXg/DGkNm4vr19xF2TwCA9GjBroaPdNW54Ms6iSDAalraNZoq1awEwk624MY8SKYDQsiZ7uOekbFdD9Uqy9SUI6RRjltlW1RR8ienJmVdE3yqTThWIR53wPFhjDGX+pbIvdZwYzuZOYjFvEqoPJmVqUckVjB2t4PQ7o81otHhbxAlLXAX39SPlEPSKS02wl+nYI3Sa1OHH3o8pLtBBYUDGkd9kp+vWE2/OsHMsFv7FiFhHAOhp5Mk8hXHfTW/dM2gdiwTJxx8NK+IMgVSvSrjTYZI0j9mcrEEMcg+066EsMYVNJT5+7Jqptqp5RSgT1eOZOlUTvkKzYsUuWPLMtL1PD3Qb9ooeQ6ZG69wmJbtojs42MS5yeSjRsXh81xXZYkRh10003ybOf/Wxpbm6WxYsXq3/x+E9/+pPMVZDvbWgfG1NGuCbNI+KK1KmuGOUNA0/XLEVvKNYk41r19EZHOcbcOprAwT0RnGJFPWwHDLDxmekzj5dtVkRGtBhlBi/u7U1EIjIUi9VVql5WD/byJsiOGJU/GFRCn6szzOhVQ+WXgup0WC3UPkalDmCMYTXSiqKdrRMKeQ3aj/KKemyzuh85elXuauQMXUTTz+xS/4ZXLVEXy6194/KrR/fKHcOWqkAD8QCTaPWelYsdcQSTWSO8uil1IpvpHaz6BbWakVHwaDCllI2J+Wg0lmv8XELFJfN5AZfHVEAPjAuKURiIo53D7LyAN5USo6K5l6yFrVHpHU36Rjk5kVHonx5/3L6hMp9jZZf7NzBIxzPGwFztkyITNFNRT0UkYV8FQ9Le5CNGjY6rlBKjfiH6CNFDNROj2lvsssq6n1DCte6zhyPRPDGqszkimzu1GLVzvwQq6AdQtAMVDu/a2i+9mycGaMpvbH9/yZ9judqXNy3PPB5ftGDit5WxH00bHonFpKM54ohRKlKujlaX3YN3rNq2rrIF8zRE9DrbzloBjxFjxIzIKHj6ZRCNqNpBvuCQTmUkqgfWma52J1p9ytuRnBCjTIokUhOcMY+PcGXpdhXKWjnvM2KVek89TCBhb+B6GKplmp4rZbGYSKg8+OCzh/d1tDl9d/ipp5y+21QlNkRPOMIeAyXTkvj7o77HRkXruvoTNZasM1KuCbBbmCoHs1CM6LyQKaIxSX+euPNRSfwdC73Fxf3R+550+slaFuZANJQh6U6XIg7ugIB6iYzCORZzKunpeYVO0Z/KNuK3Jm5/UOK3PVDV69/Alr32Nvq055zzz+c7U/r9mZHZ1z6zbq/pAtYwpeANfrCmW4z6wQ9+IBdeeKFEIhG56qqr5Cc/+Yn6NxwOy0UXXSTf//73ZS4ScBnHwhsKEyQwGE9LV3xi8BSsoplg3sSuBkaFZjVppKnJmZh6TXILRkZVUYxKa7NppFJtCcYkGgpIc49tjpx1DTonxLOYEtDqSYxyhIy8yKgiaXqeExxVyjDYMr9zvLlZgk6Z+dI6RuN5kYpGJIKVd1PxogYDDDVhRBuCEe/Rh6hmgEmFem0GLqI4Z8xANHzYMtk7nJC7tvVLZ1NEUoGAHGjWQkgyrSLr9ra2SxrRPdhmrOq6Vl4hZoz/5V4Z/+3fJh08IqUyftM9ynjfWwVxpjHtBhVQDEiBQ7PckbGPVXMqJT3NodLEKD3pMgbRCpM+XEiMMlFnbc1y764hFaXkl6bnjowCC1qjymgc/WxBA3NMhH7xC/uWTtvV/Xy6JIhdoFUbmKvNLRYZBYNYFyMBREaF8sSo1ONb7HS5aFgJRRCl0jWIcjFVN4PtLXYUBwaC8Kwasg3oQX8YYlRuKHVHU1gGm5rtSXzWkvCevrK/e/9IUnYPJVS56QiiV/U1A6SeLiMSzJum58ZEyszvkOFo1ElbLtcvajTWpHzHYrGwpE1fVAeVBHPQfWMwEpb5S+bJWCSiBo71KGb7gUjAxC33S9AzVigVs2CC4xOMRtQ5m9JRln6RNXH9HKrDBhfawmrStUg11TGWiuxEWq6ZvPik6mW1MKoKBhhcQoDbtLxQKWw/IaVmePo2REnVKkLQvQKf1qnDfpiFRYzfgoiqQH993XXS9LvfOX23dwuRLobUZ/jTIHLeRKDmfK6+vpiodJxHdSEIuki7xl/u+2Whf5MVCUnI9PNFfif2QbZvsOj4b/9IQu57YKsEtYfmVMSyUnBHEJpJP8nF3f/UywKFuV5nwmEnxdTx+5qCZ1QW4xr0S1hUq2ZBKld0X9p7nXKlzPr11UbQMZ5JswnLbe8zhWjYvHNzir5gZYtRn/rUp+Syyy6T2267Td7znvfIq1/9avXv7bffLm984xvl05/+tMxFIq5UsKZMWoYGRp1Kem4xqqqN13ORQfncamMmzsmWZonryUVeulKBano5ossUBzlGQAguXyjP9I2pSlBhHRGENBkziDLC02C0SbLtrVUblFYDZ6AZ8Bi96wkR/u+NvHEq6SE8XQ3OMuo3mk453d4qYWOOXKpnlBEfolE1uEMUGaiFb5QJ5w72zFOrJPAhSgVmrsJGettee0W4s02Gmpvlr8/0yaK2mDxvdbe88IgFsuSIJc57e9vb5fYdQ/LLx/ZJqiW/7WNSlN3Xp/5N/uPxggN5RKZg9dGcJ8o8fYoUE0nKxRz3jJ7sAXgKQaR4vD8hKfhPQKBKpyoWoybS9NJFRW/0MxsPjinz9JzPtCxbjPJE9XS3RNS2wTcqbzv8ohDN9sBb3POcqdaH70CEGAI9S4qM0gwHgirqCH+XzmSd1835Fj35aAkfarevjGtgX/XIKFSKw6RcR0dBGDALCH2hcF5kFFILsZeGly5SjyP7ykt/A8OJtFogOK8nJrFMWpkP3794mf39O/aVPnkpkKanqkTpa2fnvDbpa7b79slW8/3aWLq12RYkAwHHdL6qXo7VQPeN4VhYwqGgjC2YiFybDSTvf1L1jZFd5QubOdGaLg9MS4u/xqTfTWJEt5WmqETn6wIxVRD9nShBLYiZipl+4qUzQWmOSlZHVlo6dVDdzxGjMr4LbmM/v1nSW3bLdOD2ZwNqi2skhpkoN2A89oqJURDHkZLnBX0rhkjeay0E+NizbF9A+PJ5F3zM44NNLer8x4dkdtVX2qu7j6w0Pc1MNC1EORu/tCJzDhVpbwp6+IhWiHi9+emDsmKrHSlu6Xadk8ZUZdx9sTtKikyQdfuL1YkYldL9ctaV/aAE5Sluo3tRKttbnblcciwubcMTfUTCU5jLncHkl75sUt3CunDYbMJyjcHdadrlAl+tGY2M2r9/v7z2ta/1fe11r3uden2ugc5TNUqdIgESBwYd83KYSxvCrsHJlL/XEwmFMsRTARNAb0SCMX1EKey0mZB7VOSAqVzjmsyq512rWFM5YXGRRkQQ6O3slPFUVg7rbpHm7nbbywpm2HqbzIQDK2tLVsyvWrh+pXnOSvyYLDLKZQSZ9vhMmMFsKhiSwZYWx+DTrC6iagWqDek/LqlDMKvORnxI6iiDWkRGZXbbK/nhpXZqzcaDo040wlSV9Kmk6FmHLJZbN/dJWzQszzlsnmPoHF06UXhg2TGHyEuP6ZFDu1tkf0BPQlxiVGbfxEQLA9tCIlPqkU12ZIweXGOyMZUVcERz/fLRvSqtbKoo/xWTXuIxdO1GKlM4KGGdptiWTJYoRtnty/hFucO1C6XpOQbbesI57Il0gpE4/P+9kVEwXJ/XElEV9Qqm6fmgvEc8fdJY0hZUjIk7fnuijMioZCisDNaNibn79eDibgkftlTCKxZN+JZVeWXe9IGYmKl/dboSjK/VzggFZTQUyROj0PbbYiHpa7WPc3AsUXZ/DX+x9lhYVbdS29IzT/qbWyQDvzVXwYBJf4Onml6egB4ISHtHs/psd9pySZ9tqjXqRQqQjtSrGDURGQViut2kdta/R6cyztepmZVGgpvjndbXJhDQ/nUpn2grM3lHNGJYm+eGUH12ivsqoK+/Js3YRI/6RtKZlL6mqPLs8Q783X1f0GchJr23T63+J6uQQobFCr/o0twv1GmN7krENTJWd5ujuwvMFBKjBiBG+XTeZnHB76ch7R79LPBGEJrvHI7FpLerMyfavm5w9UHpCsUoI4jiemsWgPyET+f9LjHfz1tqLJWVlf190jZue2ymj7SrrWZrKUa5hIBaRmDNZtJjrutVnYhRSZdnpcFcv6YiRmVciw9pPQ+cKn3P7M1JUU57Fjjc1y2/wg6Op2ONMpJqikuDmEo0rLePmqpnddli1BlnnCEPPPCA72t4/vTTT5e5hhM9FItJSIeIhwaH1WQHQogyL9cTnDAq+lQpN99cPJRRt6pCUfmAGpOnPz55QLa6DIpVOtjQhCFdVnu5uNP0VLlpDPrQCS200+bcIGzefmMJk9hMRpJIafGEYprVYJSJ3zSaka6msIqIaGuOqEpy7kHMxKCjSdoW2oOO6Ni4jHoiLUpFGWpWINJgopn464OS+PvDzkmaLVB10G30Hk942oYWHNKhoOyLao+sg4OS0RFgzQs7JdoUkbSJNiohOsoZSOvIFZWGVgMxCsczs7/PMQcfiqdl73ByIjVmmiOjcJ5i30EUutNqUoLEOau7HfEBBLralP8ELqjh5QvVBPv0lZ2quh4Yd63MmAGvmSSpaABPSfHM/n5Jbdii7seefbwq16wqsOlJeyXsHUqowbiJHoIoFt5bui+PG0unbKIPQTqMm5OXd8qFRy+UsP7trYlE0UihKUVGaaFgXEdfItLGL4XOGxllUvUO+ohRTppeocgozzV4NJVVYpIhFgoqEawQJj3WkAiHpRlRVaGg6k+DxiAbaSSnH2NH43S22QsWSLkqsjKPvldFNJUxUDBtL0+M0m0tg4iAQMC3GiLSVA+q2mXGP668/hLnthKjdCRkbPlC1c0NLbNFlPTGHSUJsG5vCWt0oqiC6ZsQxakiheAn40pbngy3QX543oQxcjoSrUsxykwgjQnxglWLVL+JFVuzMFOvxJ/c5npQ2X4119ysS9AOt9v9bNqziq2e0+8PNceUXwlaTSidnvJxNRE9Tv+lt8d3TKD7NohRKkXWm5rnFqNQWMWjqCT0dTnlMtqulL9sPCgP7ioeRWDGoYhihFciSNdIjHJXFsTiZSET+hwxyqfzNtFSfh6B6nuM2b8nfdcsUg5Hm2RTTEeM7jpQcDtmgoC72mKFFT6d9oZIPt1m/YRP5/0uPz93WzUkxxOy9oAdxRs9/nBH6K1lBVL3fqimx24jkXab3Zcg9KgK0lO0Spl0m4ZtQccZ9ygxSo81pjDndafQVUuMQqCAwvTTLjEK/XLYK9gUyFhR92ebYJry9AcV9oHe3z3Va0fZYtTnPvc5+fa3vy2f/OQn5eGHH5Y9e/aofz/xiU/Id77zHfn85z8vfX19zm0u4IT/tzVLUIeId4yNqQF6SAsrwQVdjmhUrYGvI3JoJTo9BYU2gfQvS6R3zHVBxAmKSVEgINGOFlXmXX0ffIAcM177GMOfKehTitb85lI8o1KPPiOph56W+O0P5gh2jtnk0oWyczAuh82301Dg+4FUK/Xx/cMqUsycIKnWZtv4FGWWRWTLtspCspFeNf6r21W1kXJQEwYVT+5a6THeWnkG5hOPx73pScazIhKWIR25ABEkqAfD7T2dymw5blZiSxAkHdFJR8I4q71VFqPU6jjSlZpjahK+6eCoxBBnb/LIp3lFB2XmQXx+l+xPB+S5h83LEzdUuzr/WdJ88dkTg7lAQFausAe5QweGVHECpGGplWxE6605XIIQYtMZSdz5mLpwGRFTpecpf6qlEj5ksZOmZSK0DOgr/vz0wZLEHvjzmL/BRDz514ek+fHtFR0/EyWXiEYkGsm9HKCiXFss7Bi4N8XjlXtGuVIG/AQWp9qbFpeHPGLUuC4I4RaL3CbmiMxBSoEbnG6F0vTwS/MjozI5Qg0io4qn6U0MupC+gAiDFh0ZlcpYEuzplsgxh0nseSc5AhG2x0RHpYtEQKQef0biN94l6RKr26koWd3/Z1CCPp110vTMYCOlq3z5i1FhGUSaYrPuC4pUvPID4mFn0HLKskeWLVRpnns6Om0BFkUBntym/KMS/3hc4n97KC/CVn2vu0+AyKTb0kTalvai6GhV5ctN2vKk+werePCckIC0mP2Cr9Dt0krU14DSeOyYUsnhSEjG59uLPal6i+jQwC/sno0HctPMphgZ5Y62NsU2/NL0svq6p641oZAkTErfFD1GIGipzzX9l94evzQlE0WlRH09yXGPyfIKA3hEAhPpHhgdn1JEF/qx/vG0GisV/Rzdl6PvsvQ1uRZiFLbBmKOrRUtrwr/NDRY2zXEvlKYXnGQ4GdLVgU0/5Hy2XqTEGP0ALBxwbUpn6saDzTsBDlQq4uo2FER71UJ2sEAqkVrwcIl27ipbhuD2vXZhgM42CR+xQqJt+ppXQzHKpGN7hamZBHOe8ZvumRAxZpiMe5xfgtCzbd+Q3HbPloIiblW2SV+j1bxLgwIcUx3ru6OWAsOjU6/Ml85Im/ZJw7hcfa47CjuRzF/E9OzjXDFqdvmaBb0ZFRXuTyNIm2vHZFU7J92ucv/gzDPPlK1btyox6uSTT5bly5erf+ElhefPOussWbhwoXObC5gLXbat1als1hWPy7a+MWlHeCtOyvkdkjWra1UTo/QJoQ0zs1P4XJQ0BwPj6bzfhdDmtiZUXmux0+6QDqa/y6QqHWht9V3Jcrq+ycrGjo5L6smt9ltHcF/nqKfSktlnDxj2tHeoj4FflJnYxdu0QNM3NBGhFo1KS0ssxzelf+9A3mR1MiBAZbQIhaiXctJq3GXHzXFyVvA9Ru9qwqw77UShcpmRsLQttQURM2BDlECoKaZEgwkxavJBggmxNul9Jj2r2p5RqP6kvmfJAjV4fKZ3TA6d3yKWMUyfxjQ9DPbMJOmplg45ZF6TdLfki6fGENUxXtSEdZRJayIuf3rqgPzpvm1q1Q5C7R1DWdlwyErHQHX8t3+VsZ/9RYmYyHcPtDZJ9NQ16u8jhy2bWJV1na+YOEBk2j9c/BzG6lavDtHGuaom4vpi4vbYKXm/mIiTcERFAvlhxKjo+LidLjeJsOwfGaUHJTiBPRc/RMiZ7RjSYsNQPJMXGYXupdkjmIEFrXa/enDUI+SKVTBNz88I12uQDpG3eJrexEQZ/mvQWZHm56TpBQMSPfEICS+xU1QNoZU6VW83Vub9z4HMfrv/yOp071KjorDPHz0wJrds6p0QozSIOnOnIbqBcASRNaAFKyXelJESFE9nZf7IsOrwEUUIE+d5zRHpS2Qkcrjd5lMPPi3JezeolD2URvYKsup7PW3D9EnOIoO+hrY1RWSodSJtuVRz99FoRFXSc3DSrupnBR4TR+NT4e6HWg+xq+rFt9enGHX7M30S3rFHQjjH9ZgkjAqVFay8muPu9mWLmog/v+uUkxqsje1NFPcUipfgOCCS3f5yu82EWvUCjs/5EUi5hCtHjHJ5j6Q9/ZN3PGHS/PCdU5iE7xtJqNX8sURKLVgUxAhE6A8cMaoGk38sSOm7JpLd77g4VZHbW5Sw7y9G6QXdAuPJ4PxOZwzpTJYwXtUT2u7F86Q1FpaBefNq5t3n5an9I7JjYBJx3zMBDld4HMyEEBGVJjVefa7PdQYLuG5jeb8UTZMmF17UrbxNjT8p0phqlS7sFqPqxSAaC0cY2yHCtx4wxRJKFRMiDz0lZ27eKGO7Ko/In4yA7hPDLjGqGpFR7rGIErKnuMDQt+OgRLIZsSJhVS1bbafbg8tJEY9M2Mx4+2rX48wsq/gY9C6CVHhsjGBuMqammuKdW1anBFAtr9Bq81wlo0UQNQjHpBXRFZm07No7KMdr8/Jgd6dkdhyQcCJZvbA+ffBVmhBsQabQcZtJF1J/cJHBMXaHNvdEUV0rIGMoDZ5K2pEMzTFHjDrY0iZH+CTFOGl6k1y4Ug9vslfwMTlIJFVkQGT1Uskg+gQTu45W2ZgQWdoRy4mOyHS2ieywTcyNGIUqTkgZATgeyItvi8eVefbqBRN+IcVQUS33brAfBANqgg1jzOjJR5X2925jXVPhxEzifc4fDGDR4SU9gqLpBAORiKzq6ZChaEw6khPRXyASCigxoWQxajyujlTIlDY3olSVfQBMyg5S9DAYS2QsOWJBqww4kVHTl6anqueMJ1Slj+3NbXLREm1yWyLBDrvDxSrhsqagLInb51qkZ56ccWi33L19QMLLlsvh27blXjw7WiV25rHOwDA4r10J1hh4Q+xEhUFwQEc7wQ9qeVdTfvrqg09LaOlCZaqOZtTVHFYTjWzSNcitoF8x7WU8bPtD+WF88MLaSBLRQs3BkP/noXqbj2eUQIBUdbkt1U+Z/QFMKjCip0Z1uikibUw/ZISipoj/BAWRPhCpkKrn3nfFIqP80vQgeC2PTvx9NBzIE8VywG/QRQVSEdsvSkU+hWwxqhAmDRQCHLyjwst78t5j6QFXdri0lB2TOo1j1TeWUoUzVFWb1ianPY5G8yvpuSOjACqWhfXiQKmYlMqWPrvPQzsFEKN2DMQldMQKSW/Zo3Y4+mOsPKL9+4n7mDgGvOal8zsnTPZjdpuCxxXMiOcNDSvhP3LkyuL7R/er6CcX6muDW7xw+5RUk80HR2XPcFLOPtSe/JaEe3LhOk/aVi2S0fs2SGR4VEUHBV2Dfi8jibSKapwu0CfA5+3wATvtJ3rsYTJ+zwYlTKk+xvU7SsG7YAJMdGEolVICtokac6fzOAJxZ7vIgT5J9Q9LbvJxGaTSTls0YrqZjHu9bFT0j2nPKkXKpOlNLESFtCinUqLR+WD85h6OuAbzOO9Vul8FHOwblRdtelItIu5e1imdbvHVvc26nWFxyEjzmVpUmDPjHywytLZIVyLuG81oqrqlOtqdcU25kVGIZsY4HBV8EfWDvtXxIwyFlN/cslBKtgy3SbfsU1VNo3rhoBagXTy6Z1ilFi/rtK0B/DDtKQsRLpt17DwQ5VfW97l8y3Btcqo/JnPPF7/iD37zB7OQaiIDzTU9gPYLwbTCNlpw+zP2bzdEquixOxVMxFnGW7ypArb0jqkF5KWdueO8csgJaJhE7EcbbOu3z63Evn5pW16bIBEj6Lgjxs1iylSqtgV15FEyFpWoHjuEFuRbwpTK+PZ9qtsNL1vojG0jmJejsFEwOGFdEYuqCrYqxdjTL7p92FKj41L5kZRJj108nWsfUSoD4ym78JCr/7cXuqoTGeUI5tiHA8OSneK1o+zRCirpkVwgggR09AROPqxIY9WhZXjEMS/HBMSC0IKBZBVCXNWqhJ7Mh/QJVciPpRTSg6NywcYnZMu8+TKStL1yjLgDM/BDoyE1EOjDhCaVVCkWOJExCcIFr7el1RvwY2+TWckq4uuBqCYTtdJ0zkmSvPcJ1eEkH9k8UR1kyQIV+XDWqtxOKASxSa/UGPFjIBKVdl1i3UQHdCbjMl5iBTLs2+Tdj6nBIdIuI8eulsTtD6o0k/DqZco/a7K/dxvrOr/BpOn5GXMqFX5cUt48XBO6Hw3L/NaIbGxrlY4+3enraB0McDAZVt8xSdtSx0FfyCI65NrkeGPi5xYApgImj2b1E2LUxm1Dsqg9qiIw+mcgMspEYezs6JRVC9vUdpQDBnJGQDi1MyKpPWOCrQ8t7lbRXpj4/fWZoAysDsvJSzukdV6rijJBlJWX8GHLVIVHpGCFj7In0RBSsNf3DecfPwgW6ae2K++fA6edqKJbDpnXLE/sG5HM+ETkTCUit5nkj8J8u1BklIlISKUlkk4r4brgxREXJNPO3ZFRaFOILkDb80zCTIoeIrAQodkWDclIMqMKFZg0Shipes3L3Z8N3yivibljYI729vKX20/qtuc1MEe0Fy767rRN5RlVLDIKHlDNMdUHoiqb2Sd2ZFTxvwut6LGP6Y59eWIUhBEz2MyrXFqCX9Qg0jdVdFlKWrranSgO9It+KXrAnA/xWFTaPBVsJgMpktjZYe0PZyLBIEZBlINpescrnue8P/nYM3YUhM8gyIhR8MALW1lHSDORc6ZSD9rI07FmOQLPQWjWA8lCmH4xE404xQrU/mqqrWcUoh0PjJR3XjoiAf7n9rOLRSU1r0Oi/UMysnWvdBx7qO/f7x6Mq+IMF61ZqI7BdDA4npbFI8MSwkA+GlZm0smHNkoz2jKOnY6uLBX8jRpTmbQgfY1Mh0L2RH0krvz9DFjkc0+WjS9YZgqr6Cb6AH5KRhSItjZJ2q+vzRGuIo7/npO64BqbpTGpiifyxFiT5gcSAyPSov1HyyW9t1ctmswfG5P92/eJLLbHCXmYCSIigQOFU7Wmivmd8KYaQxGWvj7f6IasLjSzPRCR+S32Dam61steJvG+PmkJYQyqBb0ii5uYqGI8q/whl/c4PqJYyOtqwaJLSG7d3ywnw+Qbk9uDAxLqqWxfT8ZIPCXHbdum/AR3LmmXlfPta6lfdS/1u1qaJDA2LgFU+xtLSFhfe801CtdeP9/EiQ8yVTjt6o+ZcEjCPpNp9XkHbOE40dosMYz9/CaTxsDfRFmFgpIKhySisiMSuan4VcC7KBBRolzWdxw1nSDCMVClMfKje4elqzkyJTEKC/YGd3Sb71v7RySsxyMmcKLaqChS0wfrRXJ1Xwugk21jwc9NpR2/ueSi+RLdvkcyvUMVLzBgO5sO6HEKxCgUm9CLA1iMR2BHykQ64bVkSn2/N2I74FpIr2Vlyaf3DcvT2/vkwlMPUePKctj60BZVBOL4Z2GUpMlk7IUQ3A2H7N9WgVCI/WFSr419z7QbmBPPQUmknHC1mB4AmVS9FQP99oFHyCxWMU0IubsSQqVgpUPfDbVNTBYrJXCgT5rTaVlzYJ8May8ccxEfb25SSj4mgyNRbXY9NOr4RWU62lT592CxyKgCS1lK+HngKft3rFqiBhIm+ii9aYdkdto52vs6OlUaDFaX3MDEHGblajt0PvdANDYRGaWFo45EQvm4lAJCcSEAKOPhM49Tk8XQsoVqwqXS9SaJ8sKqnPviP5GmV6CaHtCD14xnUpTWj83gIuoaNMW6JwaZpurQZIIEJl34dnQ/Ub2CETaGg8q4uDqDUbX/VNh8hwxlA2pShqgotQ3T7BmlxEHdNrZ1dMmxi4uLiYWAMS6ASGsiAkOL7IqNC9ui8qKjF0hfa5s8mo2oDrrQACq8arFqA1gdhmgN4QVCCASmgXg6r0qemYhD9OjvG1EeSV1NETtl7uDUxKicyKgC26sq8xgRIFW8op4zqQ+H8lIdJ0zMcy9aWbcYlc6qfek1MVcpdEUG4dgnvaPJnBRCNWhEa8dE8sQT7ZueVKqBpeVjkB7xekYVP9dNGlE8FJaWqC5SEbQNzIvh+EahOppHuMqJGkA6RAlROyYyKtPSrPYhgG+MMTEHvaHCYhRS91oiQRkxEZZleEbhOC1MJ22hEYsxuo/qarH7YGO0bzDtwleM1gOcEZ0+ZyK0nKhN7WkF8fdga6tYEPFLKAjgpOF5fA3DJkW5RiakEFFLve446GsHUpW8k54WJ1WvcHrR4/tGHIFouhiMp+SwfrvPj6xero5xqsRrkhd1fdX9SJM2LTekzfHyFIqImAhi/XrzAnsMFnD5W5ZLWke/Zl1RXeZa6U7ryPHvxDHDIN9TsMG8jgmAU2nPPUbAirXrcby/skkjIuJaXX5MPTv3SKrAZMMpIILIKGPkq735qon5nbjuJ0xqbZE0vd2hqJy8vMNu+7rvTh97rL2dJViQotCN+i16QTDr8iPEuLCnLaoilUa77YXNYoUkpsrwM3tl+fCgrO7vlew9j+cZIRviwxPVINWiNa7J2hDa8PSBUbnxyeLVNE2qaNjMNZyqjql8Q2tjXm7SyH3FqNw01ZyiDzVIbTbXOlQ5tfSxTk3BPiKxZbeM3HL/lCvXOlUKEdk9he1JpjNy+JZtsmjLjur5ak0iJgzvmfBuRrGpmhBP2oKOJ7VadLR9pZFRZlEsDQFUj7VTUzAx7zswJG2JhGpbsA9Rgq0pSjE6ltPegk0xx1LEe26Ywhbq72okRmUtSyL3bZBzNz4lo2UWPMJ5dPgzW+TQTc/kVig21yMsxkYiFc/DzDUd1zuTYTPVc6xsMSqVSimT8lNOOUV6enqko6Mj7zaXMEaMY+GINOmT0IhRi0ZHnBQ9tYquLxBIk5oqll6xgGdN2HzvFNKeHJ8XjNcf3qgr6Y3m5IRicjZuTtzhMWdCHp/Xaad9+Yksk6TpYRKhRK1gUKIn2ApuaFG3ihxQPRtClZuisjEbkiUd8DzJbbKYlAzqClxmhAIz9Xa90m8io5qTSUmV4MMAoSH5wNP27z3xSEfMip5ylBIQILJMNnjJHPRUNnPS9LQPiM8KvpmoZz3GzWn9GGIUWLByIsS2VVcLnLTktAvHbyocliY98Y7FIpIw0UpV8o2aSNFbIJt6x5TZ/HItJBoxatqq6eFCqDvcRUvnVZy+gpQ7kN6+1/b3wMRbFywArdGwHLmwVbb3jxf3GopFJbRcixGbd8lBnaJ3jBbJ9nl8o3KO6YF+JdYgkiWEVWPXxMO8b/9IoiSjcffxHo+EJRYOTPrbcSEvRYzyrpjCr82kruSJUaZ6VEerikRClFPAK0alcv2cvOBvMOdHaLLzuf4ZsQo7Y9DKEbtAqycyCr+16OBfGyWPB0O5kVGTCBBBRD3gnE+mJrxSzHZ7Vi/9jL69mPeM634Awj32heMb1RSVobRVUIwSHc49GIyU7RkFs/ll46NO321E2KZwSAlcSBnMwRxHv/Nfn6dIDc8RYp2iC01OZJQVCErcVOvbVNzo3bTLoMvnS22KGUjVKDIKwjKEyXIEETN4RCSJlwiui9gNA0O+1zNEWKLi57N2bJWEp13VktG+EenR452wTpk0lfDKvaaoBRM9sYl5UhEtkybnEksxwYtqP6aAFitjna1qbIRJULlm/AanOrFLjDIpKJgMuoUFYz4OsQmE9DXGjNPM6xCiLNP+3YP3TNZZsS5UMbAU9o0kpXt84m/nj4/JwW37i1eudHkkTjXVwhdXZFTKeHkhctp1HUCUjXoOWR+LuqSnLfc8LbWaHghpo3+70qbl9Kf4bvw9xqlLOmKys8XuG2tpSh3aPlH4ZmFfnwz//VHfvsBMgDGWN4KqV4xCCj8WGiBwTyZGhUxhBjPW8iwyon/HIjo+qVWnbbmjPQxmTuF4PqqxZqR2Ar4RgLHIoMXsRAVemIaxx7ZIYM9BZ3G0UnLaaoX9CRjaPySHDPbL8r17p1TJMeg2u58k6ijpytJAZXFv+0NfOv7nqZmzO2n0SJN1zW9Mv6Iq0lWwKGB8UCEYtS3umlhgqDDSanjrXvUvqt6b1FNzTTHVABGRqN7TEnPNVVyCTjarfo/zG2tk5r/3mX2yaNAW3pIuQbEUkgN2tlbQa7Cu+4EsUninMA8zcw3MO01f4wjX0yVGvetd75KPf/zjcthhh8nb3/52+eAHP5h3m0uYidQovDa0GGPEKCdyyTzWgzNv9EslmIuLikjSjSE8FTHKNbBtGh5xPJxUCKMOwzMr7wBCleMX1dqqPGz8xKhikVEqKupBW/iBd47bAyN60pFOBFF26UI5OJZWptNeMClBGWA38EowaXqY+JuLe3AS/xUMguO3PWCHMi7qdlKo1N+2t0pkzSp1X0VHFVmaK5iLXyxNz6k2lts2Mvpvw032660LOmSkpUXGYzEJ6TK76qONGDVJ2zIRBnGYn+vtQNQbImPU51RBjFKRSLpKDcQoiCvw+nLax3RHRrk8K45eNiHglUvQlJPXkYMI7fcKi6j0iO/Z0pc/mYCXj0nDM1U8Mrv2q/QyePYgdBv/elP13Md03uioGqjDM2deYlwZOjrvQ8WyTFZu3tirKheWc1GJF4mMsn+73Qe0JycTo/L9oiCOXf/oPpVi4zsw1udlprVZ7TuITvh9bvNdJUYVEVK6WyKqu8BkPCfaQIUBZkWeftq+GUHYY2BuxCgT3WTEd7wn5TnX7942oFKhQARpuwu7ZFtbhyOWwetkssgo9AEhVGBUBtyeMuSeqIFSUvVMZNRQOKp+M4R7RCQhRRY+ZYHDlimxrqgY1RSWg6KPURkVveAV1D2mU3IX26uXBqSJ5UdG6Ym63/mvB+jow+3tiNvVKXU7Natw6LNwve1fvNAxgy/Wd5nU+Ih71ValXWkPFFScqkGZd4hR2ItlldV2Td79zkMLk2rLkgObXFXrNBv2jcjxvftlyciwNLkmwrUmuseeyAQXz5+4juvrbrlehBNFFcIS9kZX6sialBGw0XeNpySs26rpd4JICdOLVKVUW/RjIkV+IioE4wnHh8cdsWgin/Rqs/M3ul8x74VprhG33NWH8lIcKpzwHhgYky7tUxpaqiNentrm+96smTwgitVsUw0WiEwEJES4UCyqKrd6jwtSb8BoNCYnrHSlzOm+O7R5s7o/mWcUQOVe4+WH6H4zRjfXMABvwc0RXawB75mCwFAI9Eet2kcvfOIRqt1AnIINhbdvdSbAzTHHJy3pEmEgvpk0dFSt9ENFApvjZyLzjE+UR2SEGTfAWNII8m4fHIOJ1nN7PJrIrcksISrB9NMQosyClns/lIsR5zJT9QR07b9SFocKEXdHsle4TRBDVOqlZrKoo5DrPFMLmJ79iYUcVL5OF+gnSsFEMGf1YpGDu/+uQEDK6AhYq6VZIu0tyvcNCxXIKKiEkJmXINNFY2xKEvq4Oqb9eN6J4nadPx7RJVgDv0kL/cNjm5zHpdo1GOLuvtV1vJ0IXvQLeryfLXHh2k3aLBJCjDLXuileO8oOEbj++uvlK1/5ihKlyMQqdrzZVUEAIoHLIddET4T0qp0JQZ8SulFhgmeEjEg2K+l0VsIFjIiLEdAiSKKlSWJjcUlt2KIej+pKegbL+FNhAqlHZdvDTTK/1T93vKiBeTxppwKimNwxh6oUG6zmY1Iegvhz/BGSemKL7F2wQEIj2bwUPdAaC6kywAYY8CLSB6kyBkQHZMYTEvGE9udsZyYj8b8+qFY9kFLZdPYJTooEzFkxUUeZ9tSGrXalFpiAu3Kj/SrpZTvbJDg4MiGGGDVdmzS7cQavugyv+W4zcTcnPJ5vu/AM+z2uyYpZEZ5stcqo5Ckdam0mdn2RiDIWrUZklIr0wEA+EpbMvHYZ2LlfjljQ4pOmM02RUWaiEApJWwED53LS9AyIAvGC6BhEgG06OCZHLWx1jiM8hP76TJ9q4y8/dpHtUYEuYjQuQ/0jskBHsMBXa8+QR4xyHdOFYyNaeAnI4rR+HgNFtJvxhBJjMFBH6t9kKLNxI04WMTBXv12f9+2ppMQz5UVGITIGZ/+oFRAln7onYRhY6AttAkJ376gyKkc6hfIi0ucfUp2KRUZB6MR+OTCakqO8Bua4SP74x/aTH/mICAa6tpd6jtgVU5XwXGKUvlgjWsvch6iAqpCI9ILnA8QXrLL1P7xX1uZ4RuX3d5hQ4NhCmFWVPud3qihLpJNE5JD8yCi01WRarEmiJFQ1Qr3f+4IRaY9l1L5AFSdMSpovOkulMMpTB4uKUR2xsDxl2SKdGuDiMz2RRHnfbVkyHE9J67COAtYCm2FeS0Q293q2v5gYrQesCT2oxcqoGrTrSJmwfl71g1iIiERl+cJ5dqWjzbsketxq3+1E/x/Qnj9uYi0xSZgVRPiCuMxXpwrOeZPmifZbqgep4xlV4HxEdFT6ia2qql56zQqnzUK83dM3JicPD9d0xdaPjj57chvWkVsgaKKYxsqb6Jv+DlVxvUSRmr5FJO2K+oqPjCsLOsuTGpyEcDU+roqbiGu7SgWLhhH3QpEWkVORiERhoo7tNIKbFq6U2OSevOsIBpNur0QCLRDkRCF5otyi8XjZ3jTK7Hb/gGrnaMfRU46Wsd13SEffgGT6hyQ0r8O3nWEcUTR1doqY6DD8bvgdjjQ1SwwRoQPDjldTwoyZutpzI5dhVP+Tn0jz6KjIKadIUBfOKBYZhWOEvhUR95n9/Y5Q3zR/YvFuaUeTpENhSXR1SGxgSInZwUmKIBT8fem0pLfuVXYO7uteavMudSziXR0y/5jDZE9KZMHjG5UNBMYSkaMO8Y/cxCKwEqgmxmLwATTpvri/tLM0w33THr0LQMYvKo02YYqrQLzztDnjC+NO0xMn4rH6/UtGRyNikhuUrJofTMWTx4hzmSlUp1S49l9qaLRiz6I0+iKXAGn6yPK2Jfe3wJC6UF+RzWTsc0cvbuC9qf6hnIjTtE57Sw2NVWzEnTRRfN7xgntBBf2Nx0R/0s8dGlPXZghGqnp6e5tEBwYrMjEfGRqTLn1tdPt0mup/mRF9vhlrFBwbn77aO2+BkbdV5SII/c/skc6RCQEqWGTu6kdyYNQRd5Ijcae9OgsgOOdDlUfD4jODZt6pBzZ+YnY5lK1atLW1qagoIjm+Sim9YqcOCk56l7mmiZRyKsNMIkYlkinZtf1g0ZVpc3FROeGuC0W8wtDZkP68+OqVMqA9mIzpo3sCE2lrVtFSJqwgMK9D+lKW8mzx3c4ikVFmhSEdi8mt24fkukf2yh+fOij37rA7x+gxh0rrJefKZp2i51eSHAPxhA79BlgNNX5ROStlmHjonOC8bbQsSdz9uB3RFAlL0zknO4MKTDyve3ivPLZ32F5BdKovFVidgsCmf9emcHPuhcxERvlUiXEExXQmx6fGqabnElFamyLSZoRNg4lEwfcXMU92ypa6BtiYaJvIqGqIUU6K3uJu6Y/bkQELtA+Q+i0zFBllvDoqxaSqGRA95we8sTBgdBtqP753REVJIMweggQmK0E9OYj0DcnCVnv/L2qLKREG3h/O9rvO6bZk0qkc1R2P56yA430mxc9E+hQFFybdVpCmVywyyvx2rLonikxY/MQoIyoNZo3A6hKjsGoD4SMYkIQWSJHSiXMY6V9q23yilvxAH+Q2i1YG5gXeC387d/86msxIs0eowcQJuM/HUVT50ykTxqTcu312ml7+OYiKibdt7lO+YCCkvU2QTjKxzRNpJeFlPSVV1LPMQDAWkf6MpSKcEJGE6pUwgTe/DxRP04NPR1ClSKjvLcHEHFFy0fG4bTIaCtoLMS6wHdgGtw+aM/H1Of/NKq9JDYdRqzG4j4fDEnNtPyatI4mMhA9frh5DjCp0zTT+Jl4PIlxTYD5fi1Q9/O7j9u6Wc57Z6JtSN5pMy/WP7s0/V11VzvyA8SqYNzgot27sVWKtiYpaFh9RFYBAqEYVAr3Eh8eka8y+5oVcg3xTIKPc0tfmGoTS2l5aenSqBhZ59LE2kRNOJT1NurvTKV5R7JpYCDOBNWbkzvOx/Gul06eZ67RZPNLH0onMgPej8Yd0tQnz96gYZYyb02WKiehnHVF4QZeKBEovsdvK2KPPFEnTC01EANQgMspMdiAWYuELNgrqedfq/eAeWxzpWlrcSNz055MFbZqJanrrbvXmVDAoba7FJGwHvKP2t7dP2TcqvWmXJP/xuIqqN+0MbRNiFAgcakdBLzl2lTy10D4/8jzuzLFuik2MMV2eTLh2YK6Lvh1ji6JzAqSnmr7DEaNy+5/Uflv8iy3udtqjShP1nCcmAsc9/jSpzhD4q03GiayOOMUlTNRYJRhvn6mKUSbCyhuVWS4h17W80ogvS6cymrlVoEio4MjBYRU1inPP0uPVuC4U4GQx6PEHjPMr6SfdKW5BzwK98mTSiyW+kdCTfa6OWIzqataWnlej6FW5DGzabQsoqGjtGstHTYCFHu+YSCd1HmqhJaewg24LaaRc+0XJThELY8BH7KiooL7W+6VXqk1BGrrP8+7oPXc7Mz6IEKnNOCxTwQKEiYyCpuFUCp/itaNsMQppeOvXr5dMhTmbjYYJAc64ql64BShV5lefoMbbyUwmCzFw5+PS9bf7JaUn9X64DTFVOUp98YmXOfAzoFwyaGlvloeXLHNSWAZjTTnRJC2xsCoRboBflPFs8d1OJzAqv5MzJqT9Qfvzj1vSLicubVcr6RCBACblqKIHc+dCNDfHJKHFGIhnXjHK+D416cm7l9Rjz0hm6x4Vzdb03BOd92P17fG9wyo96OHdw2oiOVmIsjHNHI7GJGHea6rpmVQCv9VOPSCIZNKOmbJ6r8nZn6Q0drjZTh+wt61w+zKrWcZjSv0thAAT1l2NyCgdQouIEUTq4PNN6Xj3b5muanqOaV8F5VHd2BcnM9mYEJO8ILoJaaIbD+rUqXhaTRSPWdSmJufP6BQ+E0XSPT7qiHWL2mN2VT3tI+U+nhhkAlM4oE2veAWXTRiQHhgczxEfiuG0BRz7QNC3lLYhtGieEhvgvYZov3LEKIhKEHYQGaXe4y5hroUGVOaMZycmCvDEwrmPc9B4ZBSLjALw0sJ7MclX31MksiAvMiqZkVbP52M7gLuinhHIoE/tHdLCn96+3Gp6+QMEk96ItDaA1Xu1nYi01PtN/asHziHt5TFZiLYZeATbWlRbs1M+c83D0R5weM1v8qNTpwInzGS7hNQVTICNRw1+jzdtFZFR7u1QFBCjVdUk3UciHc8MYk2fCsHcvf0Q1hABGF65SJ2XGEyisp4X1Q70Nbe5PXftF+0j5YhR1Z1cjSXSsmqgT0Wcpn2qh2HfQbAa8aatuibvfqh+IxpRFdOi+/vklo29KqIYqcFHJCbaSjSZKi89sEJGt9g+HNnujpyVfixcKcr0yJy4RuVH5alKxfD9yWSc8YOJnPD6gWVWLFKFBSB4p7eUn7JoVpEdTwzzvEkhdbUXZ7JrRCjPAN1MAmCpENT9RNZ13J3xHNIA9e8YOlheKgrSu825aFKAW463IwUDO/flpaKZyWHQHVFWgwUi53eqyKigKjDjFaOiWkSLThLtgOpQIDOJGmVMzE0KNMZjpi8yYEz5dNget8Nywj1ZNlGspaQqm3aIRQWMJdX9/f0SGB2XdDAo7YfbYhT6rpg2Yfb26SF9/BFpYERV9zwBYhTGDoh4RbGAyeYEBkf49KaE6mt4B8YOECrMi+42mclKSI/bA8bsWPXNRoyqjr+oX2QUhChzPle6SGC5fNiMAXlFn4N0f9dE2yw2V/I5za4o0VSFIptj8u725Sxw3o5oSwnMRyN6oSjlOu/QNzqpmFZ5VXTdmBT5iGexR71mxgSVGGVrIcUIRhEjMnusDUohuNMu+oFKrznP6+tU0AgsRoxqjjmWAjl9tUn9RJEOM5epojA7tmmXaifwdYo96xg1h0Y1RO93YBEK9he7BvO/O+g6ju4Iy7T5begXnDS9CtInddtVmoYRs3Vk5bSJUe9973vlmGOOkdWrV8sb3/hG9dh9+5d/+ReZK6BRmsl7XtSEHgxg9dtMiCLGuwh/V0SBNpO99GCRTs8ZsOqwcC0YJSqscIGS7aC1vVkGW1pkZNVyVdJ4X1u7SoUzYMI2HJkY9PW1tamJpvFoyqOYZ5QeHAU7WuTcw+fL2kVtcszidjmsu1lFR2GAvWMgrqvoFU4Xgb9MrzbO393U6piXO5tgTH39Solns84AInramhzPk50DcRlKZOTsQ+fJ81d3q1SXg2mr6AVy31bbLDTT3SFLF7R7PKP0MS9iYB7NZpxIC/VWs82TiFEoVwyPjWLbpl7TAwjL5emD9oly02oTq2FgblaRYlElJM5vtdPKnO8zHfg0GZjnhKZOAZVapVdXQz3dBcNy8b7DF7TKDm1kjrYMIWUt2vb8Ztk1GFfPmxSFBWNjKkXKDFgx6DS+USqVTl+E9rbpVVykHiRTKiIFpOZ3iaW3ZXRoTJ2LEB8muzCYyJdMNKqEKPcxyvtN4bCEltriSNuB3hI8o1yRUfG0HNrd4lSlyomMyqmkl1FCDqJVICijy8DvMFE1RuwphInOPDCSKsHAPDcyys+TykSKJVxRTvgt2FfYxzu1b5R3+1CpCWKVN5XERLAYY3ac8+a6YQQXE2kLcc6InRj8FjuWRoyyWpuVuAEjcgg12E5j6I792BoLF037UZOlcFD5yanPLUmMgl+UngD7TCSRShcJBmTAZWJe8Px3LXBFo2GJ60UPM6EcR3qUK3pPtXPsy1BQwofaA8yUn5F5MjUhcvmkHab17612ZFRycFRCpoyyj/Buqpwl9TVlYoOMl49/fwXBz3jOnTw+qI7tH588IFinbeud8CtsSqdk1DNxVREbT25z/B6rwm47qiSqK0QamvVqNibV5ay4O4arPscKvz2rz5nRfTq1y4zBXNc00NYSk03zbaE+9fgzRX0efbfDCAQeMcpURXZXUTI+oIE8MUqb0evjAM8kE2nlFuWdSOsoKrG2VFRRb+9QXBmWu8ef0QWdMtjRoSaa6c2554aZhAQiwYm2VoF/iCG9Y58k7tmQXx1U/07sE4wV+40YNTisFq7i9z0hzXox1BtZ6cVccie7tpmoU8NYc5NTsMVw+IIW6Vk6TxUfQnSu8bnEtRkLj7ds6lXjz8lwRzCphc2DAyoaDxyYN08irsi6ZSu1GIUFCN3f4bdEzO9HZJRu9+Fk0vmdiLJec2CvrH3gYYkPF/Dzc8So/IU/txiD7QvoYheIFMU1wfjTuVOQjGead+wUMYKzZ66Bzx27/jZJb8n3svNS6L1ZfR6hn3bGEJVGnbhMvqdkzI8iSq79DdGikkn3yEjcaefqYysUMBxfrVjMzlJRwpu/oGCinsLzOx0xCgbgzmd5KtNV7IdlxChPwQm1baHKI6OC+lpgBKP2xTpyskwTc/hBdWjBO7zSrkhrCOjU/TCuU6m08tVSz6MNmoUDnzQ9LBZlTBXSMqLc8Pdo/35tyMpkJamjoiJrD1WCbFZbACU814PBvQPywic3SMrj9YXPjY5PjN3c6bRmLhSMTkRGVXRuuFIZzT5SLXEKQUpli1E/+clP5Itf/KLs2rVLbr75Zvnd736Xd6tnent75cILL5SjjjpKjjvuOHnLW94iiUSFnYI7fcBjjBo+dKlETz1aoqeucZ5D52ou08UGviHt31SskTjVWYxHgR4wpSpY3UVKSVR3FPC1QlTCthXL5OD5Zyk/JndqByZspuw2Znq7Ik129asCk5xinlHOJEqbohtOW9mpJjF3bOmXLX3jypvFL0XPgPc+3rNYAi86U/a0tuUJY+ZkCWYz+V4D+N268wkftmxiuy1LRbMgygW/D9tw4Zoex6DU6/EAsJKW1t4HPYf0SKxZT+pckRr2hhRJ08tMTL7dAtpkkVHw+8EqsPqeIhc5x1PKu4qszV6r4QPgDGgiIRUZ5U3hDDqRUdMjRhm/DrcRbaWoKmiedBQ/IKjiaP9tS59K6Tp1RacSWlbpCL+tfWMqcgy0J+I5K5Joc/gb1V7QznS72d2hS1Hv65OsMXyNRGXICoql208snZbDultURIQ7vcwPM8mPt7UUTdEzqAgUpFL09hdOh3Iio/TqadZSk2VE6rTptB23GGX6UJjDx1NZJ/LFnMMQfxC1hNQ932qdLjDZ6IiFlGF6joG5D65MY7WNSPfyprBBzAnkRUZllHAI/7rdQ/agdNzxm7K/zPzrrahnjodJW8xJ1dPHwkQLIDpTDZLwWQjFLjLYMauZJjoUkVHoj7uaYB6enhCjiqToGbD/x4w4U8IqKSKxFsRzJ8Bu1HY0R6RPb4fCrNzD3NvVjpwqcmq+H3a2w3jwxT2RUUjTwy6FAGdS9TI79+ddW81j5a/ok/qmIgPVF1RXjMq4TUQ90U/AeMAYUcrZXtMvFoiMMgU/0IiDB/rlhT1R1fZPimRs3xg9icOeGtEl4w3w2kABjsSdj07tx5ltTaYk1me33YjuHwyYUGbNinsZ+9aIPN60OwMEFjCixShzvTO+iQZEkWyf160m5xB0M6iCWg5GRPFcN0wqSto9qTOeP0a40ouDiOBSaRd6TBdCxIdeeHCP77Jmwh2FX2aLI2aWCr5jtHdYjR/y0mV1eo5JeXHIuDyjquD7gWI08ENCVJCvGBUNq3HKCMQodMDJtIz/4U7JPLXd3r4FXZNeo+0eubiBuXofRB3XxDjT1pr/nkBATj+kS0bm29fhkW37lDn4n546oBYe0dfsd0UoT7oAg/YKy4c7H5X0NjsKY0xXzTV0dbWookMqtUd7ASLtHVGO9nZPGHdHU2kljKHvhujevfeARMYTMn9wyEm/ztkOp1KWK6XOVL5zX3O1AJHonIjsdiprudpk0vg3qeyLiQtpTF/Hvf1lattedS4mSohCRJoi3ptGRoIbfR6ohfum0jJJCuH+LXkFAsr5HDN+1zflo1VBpNXwfo/wU6EY5URUxSKTRh2F9eIWopbNQmrEVZzEiFVTjfryikZunEIcZfYtEGYiRjzRfW6sw2ViXkZhCqToqRaM/eDZxoCef6JCnrFIUPvVVdghR0hzBYJk9fmVLKMAAgoYxP/0DyfDwU1qxz6JxhMqRT2mC2ahyrQ3vVK9d+seacqkpXW33dc4JJISdo8pXJqAqdaOfqGYXcJkBBKuPi80EVk5lWyXssWoD3/4w3LJJZcoUQeC1JYtW3JuzzyTn5teT+ACdOWVV8pTTz0lDz/8sIyPj8s3vvGNij7LNFyEAHtX7bGCB4NCs8qVnxLg38Fms1mJmMZeTIwyCrsRo/RF3ISDG0O6/b/6qwxsKF4lAdFUdt0oO4oIkRlYUR/B5DAUyJmoYkJjym6jg9sfzxRM0dM7Qv8wHxXYdHyezgE+UGcfNk9dhJHesbKrcIqe+nOkDmZEmdkCb5qeGdQj1NFMAPInQAHZ4loFg/dO71hKpVa5f7u5EPuldPSOxGWeK0w+pgfTzkDA7AMf4c5EtsWUGJV1RMJw1sdA0geUocdkTW1bkYucU5XKI56a1ABVvWoKoZbudgvLYHgkedtHyAhr0+QZlTIpElUQo6LHr5am8053IhMKgcnhiq5m1Y5gaG7M9/E8zFMhsmKFHSmvAVdkDFjcHlNtAClhjsdXOKwG6yaaKL3LjsAbaG5WgoC5KHZYGVncESspVS+joyiGEd1YQtEDVCDBSlxLIuFE8EyWpodUO1WuOxaW7q6WXDNfd5peR4tqKxCdzLmGiEjsg9FUZtKoKMPCtphTUc8xMJ8kTQ8iMirmeQsk4G+xkm8imkwkEPobHFMcI1RIHPNsnyNGefq8lCcyCgR1GXIzKDTXFKQj4RoSMKXQi/hGmb5oLBhWbcn0fxAAcyKjShWjTGXNEgZYY6NxadMDE280ggHpMWY7gJMSpDxKXPvI+HsEg+o8GQ0Z4V8X18BE3TUpMr8HaW4wZ1aFQrJW3gTHSXMtcP4bIbfakVEmFabQtdzqH5IzdmwVy5PCZ0QKtxm3FwzOQ1r8iW3eKS87pkeWj9gCdQgRSvr8g59TzneaBSCs7lfh98JrBxOD8eamHB8Otf1I/zbjnTIibk1klKmc6CWsLRCUMbkaGKd8I6PQllf2tMsz3fMnoqPKuLYFzBjLU/TCWDCYBQF1X09Yjc9Njg8Pznt9zqMqrlN9yNUmMvoahXFAQFcvDpQxwYGPUNvIiG+6bGubvV9SXpFWi+wqbVC3tcnKxBdCRfBq8TpPDHZVZMNYEhM94/0CsT29ZIHctfwQCTznpEm/x5z/xQzMDfDNKlR8xHk+EJClR9uLkOmdB1SEYSgQkBcdvVCWdcRKFKOSTmQ9jOPVOZbJqHlBK9LbXag5gJ5YZ3T/MDYSt8UpPHBVf25Kp9ViDK5nzemUBPU4Er6Nfql6Zk5gFqjV7zNG5m7PIz2pjRgrEbzuE7VsrtPmNYOpvofUNfdENqk/N12CiGqiGb3piuZcDrdgP+iMhgqFpBzT9qksfOrPUWMwk0FQpqG0+hhXfzGVtPD0+MQYq1jUUSqVllYdIYM+C/2KEdPMuDKlF8HMvLSSyChEQjpppj6G7KVERuE1RAS524OlUxqVMKSv0Th/xrWw7O5/JyOwwxZsop4UPfVaKOj4E5pFQaRL47vMXCVH2DTzc7ymtytdRmRUWotofmIa5uzqNWRe6D450tWa83fOduvrn0rpc5+HA6MFq/25U8+Rnq2eq2AeFjLXXESPwRfMCI5TEH3LFqP6+vrk7W9/u3TotKhqsGnTJrn88svlxBNPlHA4LMcee6zv+5588kk577zzpLW1VRYvXixXXHGFJPWKU6l0d3fLc5/7XHU/GAzKqaeeKtu32ysz5WImZChD3YxQ5xJIRooLBuOjiYk852Inr+loTVi4yQ13DQQGN++WVhifecKz87ZJK+3wncIJYItRaR0tkHshwqRrV2enDK9eKckTjlSr/cXEKOMZ5RsZpTt0t2Dn9i8545Au6W6OFE3RM2l6QBlDa3HKjcn7hRjlnljmmNEFg/KP7QNOVMXj+0bUfoAw4MakWvpV+EgeHLLTMnT6TVOL3i+mIzP598FinlEZGTNm8uPJieook0ZGuQb+BdqWCms1fjReo0FzEXFdqCpGq+MD+mfP93g1OAOkaRKjTLh52JtuUQEqXa1nXklVjtb0tKo2dMry3L4SqXoQOrcPxOVgs76wulaT4X2EJgIha1in6o6HwjKvq8UpjACzZvV8W6syxLZ0+1kYtJxJejETc6SsmAvvUEtpkVFog3EtnqS37ytJjDJRQBBIujp0REG8cJqeEaOwf5WJeTyt0lYnMy937zv0XYhmKtXAfGv/uBJuEMHjBSKdV4xC9BW+B0IVUi4hSrnNzwuJUY5nlFuMcpmYqwgKV2SU2S+T+UaZfT4SCKoUZTNhQ9vD/sN2wEerVDFqxAzASoiMCmgjUUQheMUAQ3ezfRwdw3f3bnF7ceiJMAafqKhoIqOct3qqq5l+H9cpYNJIUaXLbwXa+P3lYQyDqyxGhV3VcDI+k6Hm3ftl8ciwxHblnktZ3X9O1udH9MppBhEJY3HHhDm8YpHj3eRdsXVHx1RaHjvn8/QgP96jfesKjXfKiLg1KUURz4KJwaSvNo+OqfPcRJL7RVKt6WmTjV3danUe51Y5RtVBcxw8ImaLFhgCI2MTkxS9DWGTWuTy4VHv0UIBFvuc65BbjDKDe6Tx6fFQeLxAOpYPGPvM9/hFGSKmfXuj8/T5FgxPpGyg2lYlqDGD7u/yzHz1OY6IaLPokThlrcTOOk5aXnGO9J6wRva1d0iL9qwrRhHXByX2o4LoQ7uGlFjlFsebXMKLlyisGeCHmE7J6khWzj9qgbr2wOAcIro7Mtb3t2tRAX117MyJucv2znnSrYVANxHdt4/pyTTS7pyoqGDA6UexQDw6Gld+UYszE/vUFqN8xBUTweOKjDJ+Zzk+jfoa464uaBa13YUWjHjpbf94bPwrc/rMIftzQ+PxSdNyU3ryDqsARMA4n63PI5WuqNutsRApBBZwfIttuM4vtwF5uRiBDh4+JoujIhNzk4Kv++ZAAe+vyXBSGZFpo6tL+qVHDe4bUPMRZVaN6zNEF7392GdKQNaCRnKJ3X+nJ6nc6wf6drQGLFS67RkcSoiMwng29ehmSdy7YeJ36mtVBm3BNd7Odmq7Ch2ROxnp4TFV2EEJcZ7oXeczdZXetF4Uzuqxgp+Y6wQXqIJWWowqY7HFFKZI+8yz0vpz3P6HYd1fiGtBUvmP6fEFetRxlzAXN2KX7kci7v7YR4wyixKlgrlD2FzPTMBFFSqkly1GXXTRRXLXXXdJNXn88cflhhtukMMPP1zWrl3r+57+/n4599xzlfh0/fXXy+c+9zn5zne+Ix/4wAcq/t54PC7XXHONStsrF6QDpDbZE0JUByl15X4yfwoz+Zz0wBolWp8s5oLhDscd1SsVoQJO/IaUOZH0hQuTMkxgkCrk9otSnxUMSCwalv0rl8nBiG227BUbcjAXLc/FSXXwRiTwrKi6DSYvXLOwaIoeMAbrGJBBFDSTQb/IKO/AwilvHAkpUe2vz/TL9v5x9duPWdyWJzqYyKiUT0cS0h07vFNUVIVJl4CxG0ZPWU+0mAvHawKHVl+kIEapbcQ2TLIPICYgXbTYiosRmTCQiHoGfvBogSihXi8gNJSKabd9yaxKt/J6Nbgjo6YahVUKZqDvNaKtNfNbo3LRmoV54igioxBx+MDOQekz+1yXWgZo7/NbonL/zkF5+Bm7iEG2KSpHLWydqOBnIvrmdaiJfkafA51iCzo4BYyRd0EhXZXaDclgLCaxcGllaZO6OpOfGKUGlWYVXLd9RDbhfMR5GdJtDue+GgjBO298YiAPscbdViCsQMxSfk6lRka12kb+WE22RBuYYzB00UX2TQ+MTGQUJjAQlEz6pN95ldCePhClIDwhjVmtqHc0yc7BhBL93Ns3IUZlfdP08BkmSkqJizi3sS+GRnMio+z90jLpiqW5lgxawZxCAYhIwjci5QTfXYoYhd87HJxI0yta0dWypGloolhBIXA9URUIh5Kqzf92w4GJyYx7gKr7ZiVGhUPKI8qNGVy5I2jRrtD+gUnLyXpWKc3Ex3egrCc+tRCjYq4Jkp/w7kSMeFYTncioScSoEFIO4DuH1KC/P2qnzaCwwqJ5ziDRW8ku7ppEjbuiMSsBv8lUBQtos30vaTOYL8eLUP/+qLdirCY4r021J0SO7Ds47PjteNP0AM7Vnu422TFfR0c9ull5A6nJ2CQDZ2Na7J2MN7U1qbapJmCmqpPua40YhX7HMaCHZ5lTFdc/Msqk6aGPNGJUazKZk9JbCPQlsBToSegoCM+5GDYirPf3GmsGFRmlPa58qoCWgjuN2Ftp2F0R2PHha2pSVhY4JxE96ztuUxsXEuvCCyXxgheo+8bX0B0ZhajPB3cNyq8f2yf37xxS++LubQMS0AUi0oGgdHT7jzHVdoVDjlfo8ZJ0xps97THVztxVcfN+N/aXPvb92YD6nOgpR8n4/C7ZOb87pz82NHfbk+l430huNUiTlobv120kPqzFqPTEedyZiMuAzzblVXTUHmUKE82BIhG6X2pxiXWmr3H7RKU9c4yc6C7Pojq+O2TEKxUlV/x8NwsEbtNsFWFjxuOITNH7I5pOS6ZAu0SE1fiNd0v8L/fm748qi1FI9w3p67GZ8JdDRIsHoSXzc4S3cnH7ajnzAp/ry/i+fuc6YeYxlo66TPQNqwg+zE3UfED7/VUUGWWqn+poooKRUUX6Fic9bl+/c9ySWhizPNFWUR0pVKpP05Cep2dRYdQnckuhnzc2K2asEDJt37V/Tco9zpmAGduXsYAfNJF2Pgs0WT3ncy/EmAXJkGs8ARN6lZKtGdPVMUFSt03jSQsPLCeaS/+LLBFjl1KuzxMWG0wkp/FjdgTw6UzTe+tb36oEnI985CNyyy23yAMPPJB3K5eLL75YduzYIdddd52cfPLJvu+5+uqrZWhoSH71q1/JBRdcoLye/uu//ks9v3v3hAke/n7BggV5txe96EV56XBvetOb5PnPf37ea6WQvOsxNchItbfKzo6ukiOjTKpAIcFg/P+39x5QjmVXuf+WrmKpcldV5+kwuSd5jGfG48GecRrbGIMN2GCiMcmPIT/sR/xjw7PNwhhMGAfAhvcID579AAOOOGGMsRmHcZjgCT3T09Opurorl7Luf33nnn10dHUlXakklUq1f2tVd5VKJV3de+4J+3z72yvNJ7Dmd34/A15oc3lXrLR0x4IOvtlEu2hVsABciQmDPPyY/GBRg98trBXUZK9Zig8bK/uVURz1hs9RqsGkMyxqoRvxpOp+83LAu37YJajb5TJmsQ496+i0Ujv8+2OLKohycLK+40rrYBR3GkELs+jsRP0kFp2AMTCPBB+j7rR5R4qDUarTa6HEqQlGNVJG6c5Pea/4FvcIYJya1KqXEAaUjVCLV93hnS/Up+iBGAdQ1Zv1Xh3Fk4l+B6MagYDu4ekRVYWtOGUpY6xB4do9o3T5TIaOTXjHvGt6VAW1YJxuQJWN6XHV7tf1DlmmUlZthe/RRnBaIFI6sN4Jo4xS7J1RMVUEs/xqHdOnoa3qto80A3gs4Zi4Ik+sXKaL64Vqih52hBNxFaRhZRTA30FFpII9IQIpQAU/Y1G1gEBTVLcNAlA33+x96WAUG5gjEIXAe6NqnVAKGeNxHfTgNDik9SGNGOd/xOr/eTETlKbH4wSreZBOE+US9Ajw4d7BueJUHf0/K8iCYCXCYoVo0ur/lHcUkfqMIJwyKkIr8J7T0bpmKkm030ltXs4KryBgqI7j+LfjF+mRhQ11rrlSXs39z8ooRyujdLqg+ZwBype9Y0k6qT8f+0q4vhQKVv5yNdtGwSg2hm3FA+fW6GMPNa50q46hXKmp3ho4lvPCq0E1PTNZDKGOquhgduzAnJfeyWnXvopXXIIbrPs8TNpFGT6XK+o6jfnSkcxzWJkRMhiFBWlE32+pBkoZqFN5gr7w5AVKmgB48PW9eneG7p+YVgVZEDzKffwLlP2X/6CN//txyv3HVxsei2OCUfXXITuqS4xzWfRiNQ2PYe8ebBA6fIzw6vCZmyv0GIXAUURXpIKP0FKzIjZWe4SvTorTG333Im8C1C3IOSBuVdODr2Yn2CpKfzCKFyhKGaUrttpq06YpxLrvLt54ow5GeQ9z14rx4Z/vO6f6FRiSf/u1c3TbkSl6/GKWvrTu0vIVh+lL+w7QeIs5JqsqbeUc5r7orxEMavi5dZ8Bm4dPn1xRY1X8qsP0wBWX09hYOrAoiDNZq3SoqiGqx8j3b3Ytq8aYiVz1/CJzwp+yo47FV9ERxH3XHuMIgkXFaLQmDZbbOKeLqs/UxN6A05rM5/cphSpN0srV+1njCs8D+Pi9dMW4ulfUghfBkwb9RxnKTKj5lSF8A+89/73WcTXmGCV0uqftFxcG+IJl9HjAgU9Wl7SNHu9j6aSVAhdQrVwHyhGMYmK67RUWV83v4Rk6olVyCFS2XehB3/uVBh5/1eq5jQOCptqs61JZV5Ev8PrVZ+MyojNOOFjaioreOE3pIidBOL6KeqxMCrIUYcEH7hmXNx986+v/emKJvnJ6JbjCI89zAuZWrn4sZt2bnGKcREEDfQ5XdZVEpmR5f3EqfmzXuJpL2a9rxgAEozr0jOLXqiADSHfIQZ5zPQ9GIXADX6jf/u3fpuc973l00003mS+kvOH/tg8ioLqYnw996EPq/ZBmx7ziFa9QQaWPfvSj5jEEwxYWFuq+PvzhD9e83l133aXe921vext1RIQofs1ROv2061SjxC5tGNjbpVFwKGfL6ps0En/ZYaOQ0h0cct3h7cI0W8wY8019Y0HlZXu3+IEKAGqFhY1Cc7+oJrpqvmHgmWMvQDsBC11Wn9T5RQEr8GLLkGs6NJTRjEXp9qPTagJy3Z6x4IkEd7g+KTomVKYijJ4oY4eLF11KBcIBuUY+Nr5Uy4KRSbdelCAgmDeeUYWmg0YWhvu+c46fT4xOqGPDIMU7FW1jtdkLDYNRVgpDP4JRxlB9c9X0usmRaW/wG9015u3CIG3OktrCMB+m52NaTmf8E/Ruh3psfJTGx1JKUbTg6oCrbpcjLYJRnKIHFR8WBv720IhEOknnM6OB6ig7RY+Dp1BGjaW0Gkn3VQgKP3EBKiAdjNKDraeMsqqlpWLqM+TLbmhlFN4XKXRYQKDLaWVgjkUL1FR+9VqtMqpSl3II9o0n1esj6GQrY52GBuYVZarsvVZ10ObFI6dewj9L7Y7XpOlttNyZhzJq3FoMIyg2alX9y4ToR1TwrYJUAh3MaOJbs5orGo8825/FDxQPV+8eVQHWb792N123d0ypFfz3P3/vRr3xJ6s9AA0Bk91LpjzPNBgPszJK+SFZ4w0v9kwVKB+8C8ntF8Hrwn3HG1acQ6VLjK9+5ZsN+k/7jgrq59gs2vEtSnjCqbx8Qvi4ofKi+VnvcHMqCPqDGn8de1HXaR+vKZ/0fOvOjo/TaMAmkO3HZZeXboo1mU02ULIBNuhGMChZ1oGeBosh3N9jEyP0yOFDFN0z7VWw5CpIJ84E+3m5rgqaKwIW4xX9/uiz8Vyed/FOscJSm3BgS70Wz9XsFFUORqUTKtjGn2WjRSolgh9QAl2X0OPEeKb2GCzVC5dwr0vTw+95w66Nqofg4kaBvnZmlR46Ua2w6k/T488JRRj6AnSPdnENLxgVbmzGnEwp0vT9ffzCBkWjEfr2a3bTjfsn1Osg2H3LJRP08IUs/WdygtbmdgWrriycfTN1m0IYS5Cqd05bNwTBfUY+5qh+EwVLsBGMNPxGGQPcpyNYDUuG8kZt0Q97vF9bWlfjVJKDO/paOsurdapVu1KWeS9W3OtrwPO63IhXRc98fp572hXozOvVfw5U4K1ZmPr6knKTdC8EnNn/qsbHjtOX0P5xnTF31u9daHANSroPUn/vD05Y7V35JLXZtquvU/XnNVkcbfi5gWUUF4BCBe1fz+Fiqqp6+5kBrKRF8BLWKo0CPUmdNqm8FPkxrcpzl9eppOeA7uQ4xUdHvDQ7qNrarKhtUr91qlsdXKmx2XrWai/wbgNl/bpxn40LZ5yEMcuGLxvS2XCW474qejZxvQFgDlnPCbjvtPtq4w8Yj5HLhSqsPq9UqtD0vQ/QxFe/UXeP2n1jkCAlwoUurLEM/TlX7eM5c/G83gTRxxm17r+oXuehn6kktUKaK85aqmsuWtGuMqrEwUdrfGZl1GaCUW2vzj75yU/SVgC/KKihbCYnJ2nv3r3qd+0ArykosaCyahUIQ6U9u9oe1FkgfvtTKXbpJbTx5IqaOCMoFoaKJW8N+hvbCA2T0oavy9HZeMx7Dg9SxTIViiV6YmGNri1ZZUSX1ygSUO1I/Y4jtIm4eT/ssCNVDTv+/mPAY+fX8krJcMXMSNPPztX0MBDYzyvrwRW+IFh/hj1/jcjEo7ScdWk0UX+8rll9upTPFWp+j4CPagExRz0OZcW3H5v1yt0GHJPpfIq112Zpo2CCUYiW8+/gVYEJnpLh68fgo4XfK48Y+z0w8KJd5ItUKpdNNRNI6FudH3yGAnu9NGhbZb0TgrTSuWjt58M1yEUdiuzZRe6ZBSoeP03xGy6rfu58gcpnLqjFDi+Ug+AJAc550fX8YvzHggllHgb/OC94fq8VS1Z1v822s24xmXLoqtkRNXHGfemenKfSuYsU8e1qm4lBUrcpGNxOjCplEkwpxxJwlnDpTClCV1rXfiQWVYGgRp+XlVGRXeNUuFAmxKLCnBu0k9Nj47R7fY1KT5yl2DFd8UPt9Ohjtdo/AhazGa+PUCpJfR/OL25Qxd0w6h/0Waqqp9UuR/FmejBPx4LvxyBmRuL01TOrXgAL2bGYSLAv4CWXYPdDvS4WcjCCfer+8YavjZfIZ8vq9yu5gq6a550r/D+TidP8aoFS1vE5KvcA1Qy9v2PyxYpaoMSjEVrJFalS0RMe7WfCwWJUFjR/xwGW9SyVke6jF42nV/Kqj4bPifp9hNRu93iytv+DOurJpZw67YgJtjqHODal6EIwYz1H5dWNujbJbJxfpjG8Ho5pvPk4cMPeaiEIPA0efep7fCbuK/V9it08CCgK2Hnk1OVYjOIB9+9cBgtcohOLG3TN3KhRdFU2siYgwypWVIoNOkYEANQ5zBWoiL7vc/ep+66YiFPqZc+qMYMG8JFB3w11X6PNmDynb2kwSfO/N5tFR32/40k2rnWYNh+78hIqfuFBz8Nibsr7Gz1RTBaLtJ4vqkW6KiFvzWVGsjlaXsvRGHsbtgFeq3TaWzSsTHupgn5Tae849CJ3LRvqs7BflErj9I1RNhEEg06cpdn1NZMyAOVCo+dfOTtC/7FWoAPXHVLzF/j1zf77FyidL1Bp/iI52jPFHEehaIKJ2PX1vy52nem4VwQC7TbKfknWc1092YcPi7HOxL1Sripc4CWG8TRiLXDw9wisqspki+tNz9tXTi+rQMv+Uk6dAygU6+Y/XE24XKZyqWTaMyvQVL+sx3TMVYqlcsvKpQBBYBh+YyP2aVbKEeYKNcfACrO447XBaIRyVptHYH56pMG1wxzh8ccpevEiVbARjUCFEnVVqFwuq2DUJZOpuvELmz0I/n/pyRWazVTntY1w0QdgHpIvqnkSFMNgFhUZF7NUKGGMjDQ04oYq/ZsPT9KnH1ukfz9+0at+FzD3Ue+FBWQ0QrGKS+fOLlUXpaiOxmXlk9WKemOVklFeOId2U/mRUzS6vqECWfYmCN87WAuYNqg3mZB+iWtf1gqUIoIP1rGpdqdfw8xdeS4X0O+yIgSfH78r+4KmuUUv+BJ4rjc8w3Z7baLmyFysJW5dL7xPoUh51X/45kZoZ5bXplK2WnNJ2z+Xzw8+S928uwW8Wa8Mq7ViJaY/d1gwVmZ0gMC1xjXMmRoF0RthAnkIhuj7FnMc+3hyuaJRYqGv5N9x2r+ztkGFaITQeuK7xtUcMpdM0EguT2UEsRqoiIMorGbV6yAwEnhOdDAKfV3g/YD+0wrSFE+dVylonOrpjKZ8bZUrfzZZH2vyOo28OD3hnfcGz4+NpsluLVBRqzmrPr/YODL3lJWmV9HrQajcuG+98OR52rvqjf9Y99kZMrYaCvd03door+85ay2u/m50RNnAZC+u0MjUGEXZEubS/VT62nHln4j3x/wnwfNwtFXcPxtZVcgEG9msEFT3gaVOb6ct5/X1RrVL83f6mpTzhZoNjXZet+1g1O23397096io1wvgGYXgk5+pqSllqt6OP9Vb3vIWuuqqq4yKC6boeCyIN7/5zfSGN7yh7vELlTyV5ufp/FKe3DLR/Hw1Qt+MDTwZF3RljZZ8f4NOsry+UdOZNnrdUUziEaDPrdP8fIVi2Q3CssUpFemJs/N07skVsm3g18+ep/x48KSzqAND2UrJHFO0WKR8oUi51SWaz9dOxosbJZOzHsmu0Px84x3Wop5wry6vUNH6LMnzFwlHsxaL0cL58KaijXALBcoXSlRax7Wo35UZRZn2kkvLFxdpPmGZNF5cJmjtSm4l3DUslQl7C7jh5s+cMR3tE0sFuk4vDC9urJE7r6W0ToTiRaLF+fNU0hO2tfV1ys/P0/KyZ1rMAdF0xFU3ZCSfoyfPzNPasp44UIVWQhxbVqtoMMDNnzunOqZHl4qULbl07UyC0ucuqNe/EIvRzIXzNTtj69ky5Qt5WpxM0+QZosLxJ2lxz5he3FVo5J6HyVnL0cryMpX2WqliPiKoroW260SpWCpSYfUiza/VTuKwc5iMRAhd9MX581TJNq+WuGn0eV9aX6PyfDhvpH6wP45dpRxtpGKEKU7u1DlanK31tkivrKlrtlLIqf4GJGZGKbm8RqtjCSquXKRCvkArus+HkSfaMUzCL6yWVN9QBya4Wim5UCnQWrZIG6sVmqfWKSHY0T6RTNJT8MPiKp0/cdKkT8XmL6o+qIgqeDiGiktLCKKMlGl+3gu0ZOBnVSzT+vIaZfNLqg2sRyq0fHZetb8N9Dclr91DEYXHwPrKIs1nw6m3ovkKbWDXOUc0FinQ/OkVGn3729Xv1n7mZ2CQRhvrBTq3XlKlwtOlNZqfD1aO5taLtLKG8zhPpxcK5JTdmn5i1C3SyUKRNlaq/SQW5TjuhQuLlCpUJ+mrmBQ4eI0ynV4o0kxEB+OoqO4ZZiNG1bHBdWkUQYZSmS488SRVdHDqUyeyKkB321hF9Ufws8gXC5RFe1iN1Exc0Y+nkboYop9dXytSsVikjSipa7k2v0CFTLBCZ+NJTxlXGkvT+YXmaWs2ZYxz+hCXFi5QOaJTnBYXvfaDYOX8PFXKJSoiNaJYoqzjUG4d16l+N3EiWqJvnF6kuWiWMvDcyRbo4pOnqczpMLoqz0o+a+4hm2yhpO4/7AoXPvHF6i8KRbr4jceobBn9ok1f1Du2j51ZoMp4gynU6Xl1Xczf5fJ14wtXv8JE1v5dIp9X9/xadp02woxJY3FKHpih8niaVi96ChWnkCUsO1LFAp04c55m0o6qKjrNE2onqhao33joJB3YZx9pOFQ/nyuooNFa0gkcOzERzVW8z1ha2wg1vkZXs2rRhsBqs+c7kbL6fNNamYeFxvmFxu07iXG2UqSP3n9apSWj+d2cSNGhfIFWHz9FBae2n6xs5AlLX6gFzl9YqFMz5+L6+es5unDiSXXMeOQ8zr9+LhSg6N/Wzl/07tGofi3XNW1j4cxZdewjeoF5cR2Kl4JSKGJ+lF1cpn/56knaP+rQ7hGnJiCykq/QA2dydM2uBJUeOq8WCGvJaH0br1Tf7/yZs2bjEp5b6j2Xl9RCe1T7ap45ey5UddWTqyXK5Qt056E0jZ2tbqIW17O0bB3DiA6uLq4uYVJL5WKeFhaLNB/Nqr5yaS1H+5LoYwMUGYUCZd7xDorkcjQ/N0fRVIoKmKcslemBjRVaXMvTVWOVwH4B+pNrJrF5Wn/vBQELhli+SMsnTlGxrL0MCxXK5fP08MmztCtd3w/Gz19QfUc2EqXR7BJdMVahr2jVQmVjmeaLwcq2kXSSnPUcnX3iHE3pxeNauWjmyEm3rK5/rJCjmaz3GuWRJGWTjuojx7Mb9NjpeXVfM8mNrPqbjUKu+nl91z517oJqk9l47T0bL+a8OYh1n+I6go1ioW6tktNzzY3FZTWX5fn8RiZNI+tZyl1YpmyDcx5d2VD3C5O/sKRePzav+38nYo4hhfkzlEULF8kdq22TsTMXKW0FwC+eO0+VfHUOE1teVa/HLJw9q9KG/fPuVsSXVtS5KVRKtJBbV+cTpurzp89UU9BakD2nU89ScVpZWKB0zKEYxvTTZ6niU+U0xXUpo/uKC2srVNZptauLy1Scr67vihdWvXVNPEbnV5eJdKVVpOaq+xyBHDYvT3rjLYpNIBi1cnqeitGqWiZXcpWakVNs/ThLK6ovzhHmefXXHOsA/H59ebWmX/C3hzzScNFnFop04ZHHjUfSciFLZevvoms5r/0UvHlZUy4squuVjzcfT6I5b9xhVgs59Z6Rjbw6X5h/8d872awan9fzWVpxIt7v0b5OnVFK4OXjp818buH0WS/4zOfq4qo6F+o9C0WzTjP3qu6TcW3dQrUtO0lH3QdLp8/TWsahER0nWBpNUBopt5UKnXv0JDmpGI0iiIb3zq6p5SmOdXn+Iq2PxijDr7+8TNG1DXUs2OQMG78ApYVF1bcWI9W5cKVSVvca2qF9rVZXwxdJ6UreCtLg/u7v/o7+5m/+hj73uc+pHYtB5ZprrmnLNPmXf/mXa0zSoYw6ePAgzc7OquCYs3yBdsUdmptrnKZgs3ahQHTiNGEuMzY3V/s7GDlWTpifY5EI7fI9B0BGnNM7cTO7Z2lyYoTKpSgV6AlKuS4tOBkaK9eak6ZKLk0EvBbIk1dtb2RqwjynkMzRfHGJDu3bXbcjVEjk6NG1RZUGcmT/XFM/ozNx77VHMxmKW++f/9oT3k7MaIbmGhxXO1ykdTqTW6FL9s4GmkYqM9xSnlKJdM37XTjj3SypzAiNhDgOtJ1s9H61mz81Mk5xnWL0xMp5s5M6c2Cf2X1cTh5XxrLj6QwVHG8XZ2x8XJ1nlVI0O2sGxfzoGaosrdNIJEqZiSlainrXMJEZqWsrQSQWvDYRqbg0OzWtIvL3Li3QhXyRbsxMUkyb2eYnxmn37tqqEvFskZIXFyhxdDfRI2comivSrkhceRQV731YBU3UsTuJmuvoBzJ3vEvFidG+qVHas3tX4DlciD6o5KFTY+M1qWe94GLFq9AxNTtjdjwHiUosRfmHT1NsJUuzM7M11RZz5YfVwDKxe9b4Rbmzs0TXXUFpHQSauTBPS3pSgt3u2eldtOrk6eTGMu2ama3b5UZOPsJz2H2f3LuXkgvnaG7XFM0FeKT5UX3n2QoVpiYoubhMU9kKxQ557aG4sE4Y6pLjo6q9Lm4UKZlYoEt271Jm7urzJBPkFrPeAKo9mMb37abyxDgl5y/QvrkZU9UO7zV6fl55LV2yZ45iIX2tZiou3XvxnAp6TkxkaG4mRZGMd5+qezyRoLHsEiWLWdoznqSDTYKr6FdO51ZVn+EuLtCe8VhNXz8+VaZoao2O7h+vOc/pM2dpdHyM5nRwUU1+T5+jmekxcpMFpSqdm6veG9kvHTcmmGP7d5Nj3WO5icfJvbBCU/GUetx7rbOUgy1gwQuOYzd5ZixDe3fXGkmjH39iY5F2jSZq3q8RbjpH8fkixUYnic4t0QhFabLB/Z77ite3p/bNhuqfzHu4Lp10HlUjz0RmlGL6b0tLOSrqlBGc76mlBSqmkioYlYsnaHZ6kubm6o2Ir07k6DOPLVJ6fJpiUJVlL9JEPG1ed7H8gPp/cvdsYDoh2sl69AGzk4/dRkzay4+fobHVPCWuvtQ8F2bwyURFXWtXjSXB/cnK1056nxVVjNayFI9E68a5BddTdON9x2ZmzJixqh+fnt1FibB9457aFIRKPE15eozS5TKtZyZobmaEzp1cMFUFYcRbOb9ElfVSR+Nv6ZEn1bVaSo/Q/t3TNAdVmg+1s4wUpEfPUaxQUmNdK+/DMi2qvgl+S82Oy52YpNyXj5sx1xlJtfwcT09k6eEFT0kDRerpr5SIVlcotVaoa+PrrLhIxGjON1aaMewLj9BooUATBVf1e0gvsp+7NnpWBexTOm7lxr12rX6nFxC7JiYpkklRTre9mb27lSpG9aVnLtKlKYeW0yP04HKBHllF5eK48ukcTzl0IpejmTGHbpyIUxHeUpEITV5+2Hin2fD7zUxMUnTUWw6t63nwNK5LKkE5ul8tqiYnpmg001oZ8VhuiXZPJGjfnhnKfem4Sb1HwJ4/J9KQ+LPN7t2jPtvE0gKlUK1ublKl6CVOz9P+uWmaG08GbyTpvntKB6NGzp6jsfGMqpo6MxajKw7ONGxX7bTs4p4VKl1YpUzRpYQ+/lnXpXsX56mUGKG5ufqgbfG8N+YhHQZzKlz9aGqVTi7l6NC+xseVnz6jCi04uTKl9PkZm5k2fVbxwgaVnjhPGdel3ToIkJibppHDByh/3xM0iY2b1FjNfbdeeVj9PzkzXTPXN9d+fJJy2ePqsfG9szX3i9f3nqNEJEqz+vEnyevDRicnzHEx586uE50+T0kUzZibo/UNr4+NH95LdN9xSuSLDdcbpcK86jsQ6EXwwckV1bGUFr3+P5Ku3suF8XNUXlyjVLS+P8g/eNrUBAJTmVFy5qrj38bx2uD0rrEJosnRunl3K7KP6sDY2Bjt2reX1uMPKjXrZHKEEiHnk7m8t65L75mh8bk5WkFK5toGTaSxLgquRBoEMg84ZDuzfy9dfBxCjBXKpNKmzYKVBR3ImBqv67+WUw9RIudVbYeNyOzhS9Sc8/T4OaLVNRqNODVz/H996ALFnQjdcWnwPGml9Ij6f9feOYpb559ZfMLrS1PxZOAaq7R+Rl33/EhapafF5y9QZq1IFb25P7V/H0UtDyV3NEc5+oZq063GlGVdAGhkfIxGm40nk0XK/ddD5uepPXMq8wDq1Bw9SFHrvVYIcxeiyV1TFE1FqJw8R7F8gaZGRim2a4JKn/d+D6ZH0CarY3gpV1GfFeD88zqNFYO4tq6+tvbnKlzYoPLZRUoWKzTmpLwNvXiMZg4doI2HziC6RIlShEbjKSW8LaeTNLdnD2VPLROdX6ZkxKHpXTPVtrNvD1UWlqhAjxNqF6FvDcuFh737ITM9QSn9d0ujF4gQTI4naq5xKtV6TbHpYNTGxoZKc0MA6mMf+5jaTb3xxhvp93//96kXQAGFiHaQYsr2keo2SVSa0nmXNujI8JUreb44YTs2R+fVQprr/xvsdKW0/wHpaGzQ67IcV+WSjyTVc1g2C3njIxeydFTvSKIsppPLk7uy0fAYHZOD7L0WODiZpj1jqcAdMuUPEYmoz+1wznIjWBLu8wZjL5JKJh363DVj73iKTq/mlWcKPAT8QFKpUph855TLaKNqQtjjQPQbBozrazma1t4R1YooCXKs0rrs9wSvKuy8q8ewKw2TWQzGuh2BKGTamHRUypSDpwJL92E2F+LY4ii5i7TAclnJ/jHxW8lhGzhCD51cpOtRxQyVUDIjda+Xxm4pfhdxKHbJbuVfU3n8LEWjDpUeeLz6REhqmxwLm0gWMKkZrbYnP1BOoVdG8KQb17/h8VjeH1GUze7he3WKStPCDhvSlFbXTely25MCi62aY7cWHDCIXlvHFoijlHswsx2DXD0SUe1ozLd7V9LeVFiYw+cCz0MVu7DnBrv2G9NeMArBR/N3+dp+ZK0I86GIMo/l5yhT0rUsJWG0rnd3nMkxr6lHIpT23YdYeCGNI9GG3xf+fAZeH6sFcvj+0gO7WvBjcq4fOzJdfy/Y4LzgVnQpQmuFsvIosp8/kozSLYfqAwZQROLv+LnwF8KpRuGAiVSczq/X9sfwjWIPHmdqvPZ346PqmrmrWfU41Dk4nvF0jM7ML9E+5VkSU+3A/1mmkYKlPfXCXF+vHyAqpZJqJw5Sef/f4Z5C5dIRLuU9O9X2fcXGmgicm79lA1oYVKtKeTEVhMrQujLJRtpl0PvsR5qOE6UnV/J02WiaKhBsbXjHrdKC2MvPfw9p8NDZ8Qnam9ugzC3HlAk4zLkRjELV3MjNx6qBImWoFVHm9Uu5xn1hhM1XZyZVsQ6kSPmf61iGu1ALRnThkIj2KIuj/HKH/RX7ZyXLZdrIe8e5sbRB49qsNTo5poJRibUNWsmXTQA4LPhbcH4kQ7ut+9uPo1MAMfapz9jEB0q9brma3t70s6dTKg2T05jtuUsjjuzKqC8mtW8X0UPHyb24rI4vYs1lSnlPmULxxtdgYzRDoxcLVIGRuwoA1t5j7MMT0ceI1Av+PUphOwXPrD1qmQ9jjEJbc8YzKsgxWizQC66cVRuVjy9m6cJ6UdknPLxQVvM/eFxW7vU2W2JH9lJMFzzwU+b3K3rtUPlcsYE5jGitypXlUrgx+cJGSfnzqcqBPgNz/nvXsoqIJrzPlow5hKEBz8ni95GI8uELfE8cK7xsrLkS5nf4e3jhwX+u5Rw0JDB6xjl3F1drjmVuNEmLyxvkJl11P9eg04tg6M1/c+OBCXrK/vGmi2RnYpQqJ+eVr2uSPbWs/gnfl3RBElTPU49Nj6uxgLSqJr+0RtG943V2BPFU7b1Q0lYREYzPXElvdrLmORHtAYX5g5mPcnplwLyJDZaRGqfaFHtVHtpDxfuOUxyP83jro6g3RQsTY5RaWlHpSqot6vkD+ggzX+BCDLDTsNcPqAJ35oKXwq3VszDKr3kOUmCt98V6KhIw724F1ltRXSlT/Q2CuUiZWlynVJMqsubvXZfSutAHrqGa+6MfXNugUjZPyTb6ePYrwvzZQUVPPbdDv1nz2bUnZVSvD2teAx5MOjU0P5ahcfaL095Maryy5i3FxVXKY21wZDrQWzSqN9Hi48FzKS7EARFF4DnXBUfKoyM0ccksufMXqHz8NDmYd0Ui5GTSNRu06EfNmNKgjZnn6rVtvNX4kEqatZN33rx7kT0P1fpVjxHs9QjvqghU3biW+YJq18XREo2vr9ekeMbt+8xXrAQ/cwGVMl9bVFz19WmxiVEVZIquZWnj3BKpv5ieUM+L75pQ3omliyuUR/qvGv+9axHPpLzgVzZvjhvnVF0T9sNqdw3GFf+stTv7ymE9bb9WO6/b1kwHiqcPfOAD9H3f931qF+AHf/AH6d5776VSqUR/+7d/S1/84hfpZ5AG0QOQVuf3hkJw6syZM+p3WwV2uO287VawSz86Xn/+KvxLUtbgzZ4SdegbDL4bcS5VrhtDvFJWxzSr0wGLWpmiynQ3eD02ULWNL9FhN5Jqc2Ur7NK1JMDAHAEL44UTsIvXCShj/rzLZxp6HZhO22ewxh1AmMpFDJvLZXUASqVXauUQ+5SY5+rOrIDKJKzIa3SM+hqiig78bDiNI6zxNsyWbd8oVa2t4qqd4KxePMC4MhFgSMnXGmbNKLkMSifOUv6zX/OewAGNFgZ1bGAHT6hm7QMdv/cmvVVR5oplo3jwl+geFNTiQ/u5VawSrcrwkQ0Hm/gKXLdnlG6YS1Ynbht5c48GmZhjRwTgPbmqUZi0DAYTktVRbaytTTD9BubsKYLn2hMYvga7CnkViIBXiVIGYKKoX9sGwaiwlfT8psXq/Zp0S9hwPtBCDcbHA/8tpCgGFkgIAGpSu5peoeSaexSBIfTRUHwxRrGHiaqvegwbVLs6nZr/7oa9YzSh9QgbEcdUQbVBAQr4XIU9bv68eb0BYy8yVQn5s6v0T/fN0398Y54yOoXSX70rDAg21Bmv8vnQgSp4MS6NeO1sMZ1uaLIPzxqYycMHKMIV9fRxK/No3gRoUG0NPHT4EB2/5UYViALKZBbjITxkLCNzjNE4pzA2RpUrVbU2oA+M6dSbmD437Itl41iVy5SnoG/ctwMEbYP7TE8Ec7qCXoGrV2ISqTdRJgs5OrHYnhmv8lzRyqGFkUxguzNEUVhDm6+GMcY1ZdRb3/PYuWba9V0BkzPjqpqv8hiz+jH1/qZ4SJMxbFKbmOtzgVTZmuPjhQzfQ9ZrmfEPJsY8n8NChxfhWr3EpdbRZ1y7Z4xuv3SaXnLNbvrup+yll127m/ZWCl4FOF1QpxFc2c+M3xWEsz2UZxWUflwFNESVKowb6N9VP4s5lDWOo/3yXJPnA8ocWb8+xhoed9Z1UYhMso05dASFJ+A5CG+oWnPjzcDtqbK0VjNXxr1+9MFHKPeRzxvfTf+YV/GbxrdQALKJ+WQxbzag7UAtt+ddjkuO9nnC8eE68b2LoFnNe3JFR1/lQAQ+2SdSVaZzHMqM+8YYUwCpvgJdUAGdhJ7nolgOm5cj+yA+OarUNsrHrYHJd4GNqSdH1bGoY1zdqHo82esQrlbmM8WHXx361HwyQflJPf742q3fTJm9ftrFVDfV93NM+y7ltZk0gk0w8Ye3WBCr63nKaKsIbAJ4nytZE5gLfSz6PJT12MDrGr+ZN68dgsznoxOWitXa+IxPem2ybBW7unhhjZ712CP0zMcepdMX6q0M4Gtsqo42KBCCggzec4Pn+mUuZDOeofSBOTWjYYFEWQXnffeS3c+2Wo/oAGcsxGYL1ETqb+x70bGKLbGXI8/JOSim/w7t+uIT5818AyDYWHM8Ph8zu1qxa6rU1W/YcEW9xEaWSnr+ntBV2x1tUB9ZWqPikncu2WgfQTUF3le3f/QHqn/iytK+KpStiGjfSS6yoF5D9xE9r6b3H//xH6r6HMzCX/KSl6jqdd///d9Pn/rUp+jrX/+6mpzs8cnEu82LXvQipcBaWqou1t773veqyNudd95JWwEm5/5KSq3AQGEat6+yG2THnMffrJFwp1pAVFRLeKvBqIqKGI8VdYPBgpN3qRpUuED+sHpui11LJulE6Zrdo3RkV4iJAHck1g3KpbcRTEN50r7AwShfh8g3D3fqYeCqg3k9kGBhGdODjX9SjN0UUEJnwAsXXUmqDn0N025FtYWYvv5c0SFUJSxTUS+vTJLBDfvGaU63h7UGizosnvGVR5R8bkoFCDDBxKIOi5f4tUeDK5b44POJa7uriTEuL0Z7XU0vZ1cWHKBqen6i097Awnn8wBibYhLf5NihaoCfRbWcezUYhaCmjQqc6jKwShmld+URJAkLdrZX0iNqAYSgMi8yzUCr2zwUTeP+IIhu4zM5XYVtbEQNjFCYYpHir2B5w74xujVAedQK7Nir12+wKLhkMk1PPTDR8nPz75GexcGxMCCFuSYYxUE/J2oCQ2t6IWaXe47OTtbt9Pkr6hV1JSrcx4e1n9NGFIqr+mPDuX3+lTN0ZUB6W/DnjZh0StLKKN40ue/sGn3lzKo6t8+Z1ebruH6+hVgY2DyzZhLNfYHui1FZ8dGpaSq+8FZ6YmKq6bWCYu3iRpEK+liwuws2Vrz/UXWoWR+Pc4k2yOAaxA56ganyibPmcfTLMI7H5gcu78pqlgpfeZhKVkl4XpzBdJ2DY1zOufpRKzVGn0XdT6lKUxw8b2Ne4UdVo9JeFah+owJIevMEKQ8mGJXPq2BUO9YFamMLFQsjEVrNZAIr7toUufIW9xOFImU//gUqfO3R+tfW7cFUiWoCf4ZWgcZGoI9c1EH1smWEDEp60ccL0CCQkqFg83Lfoh1qa/W/WbzEAqsPuQEBOPSLinyRit94ggpffohyn/kKFR96Ql0rbLrh+Itf986hc2iv6SeaBaPM+G23R/2+fH+UQizaL64X1TwWBRngU+h9fk/ZXTO3teYDNZtm+l6D2hRB57DVqLlPx0bb3vFkRxsVjVCLafQfuFesQM9czKVd2psMlYZteIxG6mtb76UDAmP5nNp8rK+mp8fyVe9es9s7B83iK2vmvkXwjAPeMV+b5WvPasaNdLpu09ZUXLTmYw4HowLmHomxlAkSVXSwjCv0lUfSdUENG65umhhN0wZveqxueAbkeF/7POjv7ep7YO241ydH9s+ZuVHd3NTXjlvNXRuiXyemizGwggjFPbAG/LdHL9IjJy7Q8VO1fYg51vMrXuAXGRV6bsQb2qZ4VEhcPac36iAORvmq6fEaMSgYxRX1QNqyHEhzf7pWHQ9yj51RwRVka6w+dqb+ePSYogKQDQL3pipsi2BUYmJUnZ+yFSBjw3gbBKfsKuVN4UJfIe5PV2ctIf3NbAqgkBXPO7gf58+hPxdUjOrjreeooA3TmdJG7fVV60D7Pa2fS/zcgHU45hGc1pqa9zbHYlqlCbWd+rO1daroDcuYDl5xPxLNFUz75/6A207QRlkzWAVpr3VZBdxpwFe9bpgnPfOZz6R3vvOddP3119O//Mu/KDXSO97xDvV4N9JekPL3vve9T32dOHFC+TLxz2y6+prXvIbGxsbopS99qQqG/fmf/zm99rWvVY/v2+cpOXrJ3XffTceOHTOm5xyEAGmrHHkrEjGH8tiNsxebmpX1nDKQZDApDSr9WbOTxosta6IzFnWN+Rt2H9Z0h18JGByws5uw5LhhwHtChhxqtz1AGcW7fRuJBKW6OJloehiNdhDMAih8oIIHlKLuPKCa4CBinTJK36QlO02vkTJKTyJSbpkubBQoxjvnoZVREVWdEGCCsJwrKfUHyrvv02mb5+PJhgoDPA5lFK5v7LC+pyJEyWdcZ3woWnY2usPGYqLZRLHC/cYmIulhyOnBHru+zaoAbjU80eSJnb1Tgk6/1U6reh6XvM3mVWARk3y/MspFH4BriFTRyVErSBLe2B3tJOtGzC6fURXo/sxWRqE6Zc0x6rY8plP0Ikg7UAq2ijpeP5lEjKYblMhuBlKIVZpAg4+FhcwVPrP4IPi8LKx7BSOgUAitjLLKl3MACa/H5wTBOjtFJPXCp1PytuvrXiuid2K5/2ZlFAJeKb2Q4TS9IJAWGDbYiHaGaldZjFHop1Sp52o/t3s0Sc84PEXjrp7s+lRcYTFKDWuCavpiSxmFNNN8IqkuZKN+C0AZhUs17+p+Xo9/WR2UsnfxgkhhXLaCUSB2yNtgKz05bwJy6FNxnqfwld0g5+P/RcWvH6f8v99rKuUYpQAWZ5wC4ZvwFSFnt34u81zAnrC3MSYFwZNFmHErbx6eREIZpc3dkcKIFHN8riCCglQcuFlKpWnvtBdMbgaXgOZ2hOAKUtvwf937sZKmD8ooHDerKvzBKLZCaBaMysxNmY1Fdew+JZt/cVbzWmYBXTKBG660rP4WCyJ93gpfeICK9z+mgqKFex5QamWoyxEw4dTehN4saoSqBGaN33yvVVDglMdi3d7KAWpaPwsbBdWXITjPC1JsYBV4bqvbGs+3jBJMbWZGqsqoQrllMNMPT5+OhtkMbbM98MLODjqNLS7XbaSan3mzq81gFFc1Q7qdfvOaSnBmY5gD0wj66/bE7X4smzUBdHNdLTV+nTLqvNfGC5mA88bVuK0gZYwtQ4ICGnqeizkt3zslHdhlJW9uMbiwEZ8zJ5OkQjptxjauWhe1+mo+DzErkKQC9me9Rf/Y0b3m+OqCTfrcIu1J/ejb/A8NF5pgpSMHitey9LGHLhCduUDPO/4QXXvfgybN2AZm7upzTY6ZvhLV2tQx+4ITreCAHaePRRtssvO8Oqj/Sk4FB6NSEyMqmIzgBM89k7piKsicWzBBZHM8OrAIb8dGcDAqaONZrW/1PTWiC4WkL6l6DgX539n9iX8958evYmoG+1L5VY72xnntZlGs5lpinE1f9K61y69lb4ZblRnN57CCkUU9PgaJQtBHl/W54HsUc0b1O1RoxOZZpUIp/f68McHjIsQSZavapvegVka1EYxSticc4LODUTwv9gVF2yHUDPW6665TB/Fv//Zv9Ad/8AfKJ6odl/RWwJH95S9/ufqC2urkyZPmZ1S/Y8+oj3/84xSLxVRA6pd+6ZfoR3/0R+n3fu/3qB9AGXb//ffTPffcYx7L6huhHWUUlEwsW7c7Ikg92XeoZgUVlFqnb7CyHvjVn2BCoRvZDajwoxteYiJDa4nGwSiUAI1xkKTJxKtjIkHKKG+BsBZPBC5Ae4Jfps7HYnZ/wl9DDtrx4mM5WzQl1usmxSxfxGSBz0GkdZoeduDjrIwKkEkHgcXafMbr0LFTv5wteR5aWMit6eppiVTDc26rA1AuHCqNxDdd5RnwcQfWUhmlc65bdP6qxHXAAJX79Jcp+6H/rFMNdkoxq6/LAKuiaoNRayYAzZO2sLv+tjIKYJLvD0aVdeAIaWHoM7AAx+Q+qGx1I1TQEgo6PRhy2l81TS+pxgsEW8Z8ah1u42bSqyflaHfd7AsQfHnawYmWaXgtX0cf08J6QQVXw56nujQ9K4CkKmU5kZpgFE8uTBq3RZR9YOD5Bm8C/boYS/icH907oRQ73SChFJJuXcobxjveeDEL0AbS/FZwSlDN/V/2K6MctYfBbTgBp80G4LzCN/BEwbUUXdUxNei81gVY9eYSY6fqVc5dVEFAHMsEgomPnKRnnjhODk8myxUVlOJ7GBSxOLOCUXZKX9F37UusjOIggTqAzVX+hBEwSBSLdGo5RyNFDkalVOoEL6rGczmlKvODe/gbn/gqffXzDyvvEKZ8TgejRkfppgOtUzS52qZSU5XK1SAU2rM/2MWbGSH661plVPvqPODoxRj6MNs2gcefZouYybEkrVh+ov7n+sccx17k8HwDn1ePqf7PHD92RClonL0zFLviIMWvPqzmDvAyy0FZdq9nWO1csrs29SaIuG/+o++1SrQ67+E5EEqwt2JhraCUz8ovSlerRH9R4CAi+5qauapT06dy4He9UGo7GKUsJBzPt63bRAOCUZUzVbVDRae8Mryh3CrY7Ufdf1bfifZbE9RVabZWVVRLLcIBs4lcVs09FUEb1P5rz0HPAF8xo4zS7QJ9FXttBs0/EQRBZoZ6rvZM4zbIRX0KOmWo7r3MplXSVIeFMkqlEuHvrepjfF+z7x9YeHxeHVsF3jqzU+b4OIBc15ew4qXDOaVJf9THwgUAErkcJZdX6KZTJ5RiBWuANV1J0YbHA7u/qtq1NA9GPXBujR5ZWK9L++I1iOljGgWjgq7d5BjlE3HaGEnXqCnhP5RjFSvSJlfXaXR93QTc59ZW6dT52nU/zwMqTeaoTqNjVGNCVgW/UJU1rdtNDGo3TZwDfz7MZkWLvirIgqYRMbZDaBCMUu9lB79YYcTBqOU1Gs9ljVJVvZYv+MTp+PyaRV7zU1UxyKo5PyYIiudig5pTWKNRquh7z3he6eeaYFSlQiVOm+WUXD0HQ9v1WwY1pBBse2AC4L1O0/vKV76i0vGgRHr44YfpVa96lUrLe8UrXkHvf//7Q+3aN+Pw4cNqUhL0dccdd5jnXX311SpVD0qqc+fO0Vve8hZKBORX9ov5tULbyqiaYJQVNVUmvRzFzaSqqXxBN3ADXwXulPdyil46SYlkvKkyqsDSeVzDXizY9YBqN/aKjoSvQRnVRnrcZjDBJt/5NJLLNo7DdAIFzzMEu8qjnPfvW5yx7weuWaSVZ5S+oWFCj2eyMipsIAUL8FPpjJc+tbRGueV1lbqjJkzZvHrNlWSqpTJKHWI6Sek7b6H4lYdqjq2lLJYH7hYKkiDPGEjNsdOLiWD+C151ls1SDOH9MQgojxCcE/ipaaltVRkVso9jJUSTYJTxi9JeNvBBwnVvpw9PxiJeEEvLhBHgUv21ZUCKYBVeu1GaHlPQE8V8qdxU+dIJUD5BFaTO6/Of7321aXbLiiJP5RW+f6z3jKp6c+FcQ2G1aqXpNQPqGqNy0akBJhilJzcTk60VKmFBV4nrx8EoTnmz/RE5daTTYJTpb+37X/fFUX2NODgJnybQSt0Fb7zTBT2WoT1mc013G23gC3MxW1ST/6BUvdIT51Q/nyoWaeYrD1LhCw+qSdyFyUlKPusp3nMeOanOlauVUTCKtZVRdnso+oL6xi/FWrxv9nryJBnHDPPrjN4w4d1mXhzNlQvK/8pP/vQCHTx7lg4/+hh95utnzdiQPeMtPvdduieU1xwHxcobOSodP1VdgGE8bJA2H0YV5qVV1fp2tMso2xiUyjWpWZze3WwjCAHQdV3pLXAzz5+2Z/fjekyvqABzMfD5CD6NfOttlHrON1HypmOUeOqVlHr2U9XfVs4vUlmrFhLXVqs9NsQs2PW5Z0WNNRcx3i6tfFhQSXCjaDwhOf0TRsNVZVRtmp6tdMN9DKGoqmLZShkFz5bnPY/yz3qW6btHEw5dNjPS1gZKWKK7aoNRmLdysMWvjFLFWrQiybECKKHfSy++g/onlWZrLfZqVIAIIDhRZcmxfmG1RhmFYJQff5DT0arImvfT7QOLVnzmQqFU3aRu4F1X4Mf1tY7r/gQb4Op99QaoH/YDwv1rvNGUYrvYMBiF7I1iuaxSis896FX5ix+cU1kGZnPY16dGOFuBVSodpOlhQ4NTF3mDlYMC6WKRbnnicVMIAGR9aVoQGST1fI7VqM28sPzg895vjUll3S+xVQgro/zrRKMICrh2GJOSL34GZV749LoxhudjmGesP3rae8+ZKdX+0NNvHD9d+/k4RbfJPMCk6QUIK3hNmksmKcpFTXCe9Ouh2EYQ3J8066tUOjOflxBCCyiy8PmTR2szrVxbGRXggcdjD4zLlRp/IkMxToX0X18TEB6pU0ZV9Bwg1qCSacxuP9rWg4nrfksdJ9Su+rxh7chphmU9LzFtwl7zhvSNKmqrCOXlZaeVsxn6JmxXQs/+kaL2pje9iY4fP07//u//rgJSUErhfwDF1Kc//WnaKTx0fp2+emaVrp7LqElJWOCsz2l6nNYCoGIxqV7pZDVPNUD2xgMPqrfY8IIbRoXq5/GM6mxYCqtSdHwUOE8VjatLi5mWnlE6TW89nlS+IH2B82Oxo2IdizGLbSclwhogMZlC+sqISdNLNjaGDOkZxTtSSQ7ghQ1GKc+oGEV0kCC9cJEm0jEqX9QGmGMjdHhujHaPBVE4nCgAAInHSURBVHd2mbijvHHsXXDzORrl5fso69+j0kS7yig7OIvd39ITVa+WTinmtocyShmT6sGGF0Vm17VtZZS3OICSZ8OXVsl9AweSoNhpxy+KPeOwMOWAVuXisrcDZBSWCVpFFUfI6P3KKF9AZ1WrNpGm147CtC0wmbjtNu+rzWAUvDWw6MEn86ccNgPV9Oz7COcZaWS8gEJgy6+MagZPLrATySl/GEv8pvHdUkbBcJ1T8JRHkOvWKqM4yLPJYJR9/3OqAffFPDZgbIQSopH/FwMVHNRU7BsFBS5P9lrdQ0em08oH8UunVujh8+v1qXonz1HxwRP03OMPkYMUkWiELlx+mP5z30FyDsxRdM+06t+LX3uUynonXPnCxKqLPNuwngtn1HmBsDKqCxXCePcdRVGWVnJqk0Mdl76unGY7XcjTYoAyauOM502BndDdT56if31ogR578iIlsjl1P0wdDFeS3NGLwfLaBhXtyqxB4wkvLkL010oh89SrKHbpfqXi7YTpTIIuaJN8NiJH0YtSyE2M0oSldkiGT9Pj8QjjJSs2wmyYQCWVvvNms8BWbc9SXDSCX7ui+xw3QBllfDVbBKPg84T+H6nQ6rX0ghT9RZEXbiZNT89VbWWUHm/wGpg/NU191n138eabTd8NE/en7LN8ZbqI38RcpaAjlVL/ngPz9mfEXR3vwDdPBZX4+4D+qSYNxg5GoRKcvuZ5rXQ21h0Bm6r+dmV7Bhms+w3ri4K9iG5wL5Z9QgBOs2K1DVuF+IM7UGry54ONCAclolwNMB3gGUVE9z52ke55eJ4uWfbmMLGDu73f6fZjq+lVtUgeT/QYVaecCoN9L3AwCmMtNoj076MzE1VPVe3Lxays5WlS+41BxVX9XNo7qsUxQQWNTStshtmbFuyrVQ301M7ZzWdvEEzPjKRoJGCTk/2+lIeX9kpMokrnYU/pMzZfm6rHahtOcWumjLKDdgyvSQv6fdXzkMlx4xWeIlRf47q/a5DpUgMEAPyaYfrWyTGa+o7bKXPFQd972coofR2s+4w3W8zr7NllKuTVBRv19cZ72RvHCj3fb+SjnLCCUUkrvVL9jRWMKqPSrF0x3idGMW0C80f9nLDevTnesPEX2WkQjGrHi7KjSMBtt92mPJROnz6tPKS+93u/l/71X/+Vnv3sZ9PRo81z14eFr5xepWv3jNKN+9sbFBul6S1lizRWsYNRTXJifUZkBp5wcI6yjr4W9Y2OxuhvHNVIe4+UI008o9YTia6rIRoehu48sCjglJkaY9kO0vRQkhe79mqxpFMgor6OyUgiVbWwcNX02PAUlRG9x8Mro0Blj7dImFlZUcooNsXGROuWQ5MNPXiu3j2q0qXuPxuQ68+dOSZmTToYVTUQC6AWah4TVbcGE7+HWv6/7q/trDuAfQLCnsNB8o2yPaPCwIFQDhSwMsqYnEItogcklv1jYtF2MEpVQ3LJRf+C8wr/Et49TsTUjhEHWuo8o3yTgkUn0ZM0vW7CvlFhzcsBDHlr0/TcGhUJzktbwShLpYSgBg4JgTITjOpgMdR0jIJ3HKfprWXV8ePjVJVROjWnA0WAoolnFKtYWTULRVKYcQKbQtfsGaVlhxUbWVU2PEywDhNgmOVfOZuh/zq5TMcvbFipenE1iRx/8LhSIyCQm37hrRS/6jChSCIWC4kbLvc+zmOnlApVHc/UWFUZ5bpUtCfx/spP/LNZvG/+XuBF2Ei5pHbxzf3JKTm6vxnLZZUyyt+vs4oSHFxaVBUCTzx81vxtWLVpYkxPXM8veSn6OJ/cH/uDcmZHP2ShgKP7KPn0a5uW924GAvYro94kn71vTi5VA3dBfjk2XMkIRP0V1RpsFtrfo1S7qdwX0iYBQcT0C59OiZuPUfLWa0P9jUll4nbGZb6tdlY1Q26+MEHKMtjlC0YhQAbz30BlVE2aXsTc1+hTOknT68nGaYCJeVkrXUq6KrVKLeW0Sn2fYz6f6GAjJar9EtX7BsyXaqpV+QJIPH6XLqx489lGawJfO8zGYjTmq6SnnoOFqb6HMGdiewMsxBt5nJat9roej9OoVnTwuiOeL9RV8EbatKq0p8espK7gZlLqLNWPOi4napRdZ86v0jevX1QqU1gEOPtmatJfawLbujqv+j1vqnSQQsRV6cq2EgZG0pwGNTFKqTueSs6+WfVzammlph9de1JXV0NqtJVmZdKnigGpyvzerkuXnjxJV50/R6dXdAaLDm5wxURTBbwu4yN8UN+GP1fp1DzF1zaUAih5aA85elNm18YGnTmrbRmKJWOKH2/iHWmOMVAZ5Y2zrlbIMQh+QRHasE8Mo4xiFdJm/WKtfjEouO6fWyAYZYKNVnqpei5v1vP9bMUAIlw0o8F8307FZvPyoDReVhsa9OtF9NyfU+pUirURvYQLRhWWdWDVnz5pCiD41odtBIA3NeNBjum3fMu30F/+5V+qtLm/+qu/omuvDTc4bjf8BubX7MmoKmXtDop4fpEHbKshYmAe07VIVC61SWNqnKbnl9/yBIc9mXiHws2kvTAIbibf4r66c9yjdEdWAfGCuOKayQuCUf32jMJAxmXWIRPnioXtVNPjc5Usl9XEDJJmU3nEr4zSkkhlBlkJl6aHHGqYymHhY79GmPQpUJibVv/PbKzThBMxkvNWO6hYbB/bPapkwf6Fck0wp8kAUMyHC0YFKqPYwHJqzDvWfJHyn7+PKm1We6h5H17sbKZMer+DUayM4lSRsMGoVL1nFEQ0xpgZbV23QW5rSMdqx7ycq+kBKHTYRBEmz/YxoP2MxOurJNkLMvgWLBYrSqmIY+xZYBrt59Qp76uDtsTHVZdy2IaBORYMtoIWyiikvdlqmWaYAgLrWbVbitdS9w73O13svyFIUmmYeoKJoI7fHxFmneq4OlRGBRWUMH5z+nx7aijPMypswPSymUyNMspUfgmhLsTY/E0HxunSXSP0uRNLdHo556XqsTrKcejxI5dQ6s6b1b06NeK1BwRynJlJcvbPeqspqIricUqjmqg1rtipeXW+PKwkMUGCzSujuN+Aapf9omxDWFZGxdGmSuWalF5MKBM6KA4lFVLMn5lbpstI78zv9saYMKR0MIp7mfgVl5DL3iR15dj7r2Qt6z4MwSh87ieWspThuViLYNTIzCRV9CfjaluGJsEorrSHYBSnzvmDWc1Ae45ffjB0QJAX7ByMUilmvmBUdYHXfGFyYb2oguncL3KaHoLXJbYlMO1ZBxl8aXqAU0ObBqN03x09c6ajvnuzJuacCkkH5iinMxpYHcXzFQSjOhm7atP0ApRRrK5AIMPXNljBNbe6Qhc/dz8VHzrZOBhltZHVZKrh+eb1RCFXMNUkm7Yv65hqKvSlEmr9ErE2ns3zuKI3PLKiERodSdKGrgANilD2+9ZUHJy6NVWhsTPasP+brjTPi/N9ZwW2TdDAqnbWyu+02fyx7Duv8esuVQEaL2CSUNcDRXnipZIpYKHeX2/SxfbO1Hwu4/nUZMGOedyhhQW6amGelk/pzT79XDbNdjizxBfoMeuRNjdhY9rD09UV7tanJtVcEeO82phBQPOxM2odl//MVym6nlX3RfJA1eepDj2WBSmjOHWMDf3DH2jrlGLjz7TZub9d+dSkHVvnNZVQqXEK9B+oRs7BKKy5ua8tlY1ZOAeWODhVk77aYK6C9TzuK6Qo2mm76neTY549gbqGtZ5wHNxyAirEcgA60Js6AH+1vroMIN9rlfTzw9C12X86naZXvvKV9E//9E80jPgNzI/tbi2NbkSZB2xLCbIE3yFWwqSTwQavvg7S39HU/ayjl4lkTOXkBqXqVXqws14DD1BsygyvEQSkEJRLJNpKceyKMsqtKqOw4OLqhe2k6VWDUSU6uZg15uWq062bgHo/w4ycjakbBjBxjPp3MDE3Js8hd92M/D2dplI6pXZk0otLJrhhS70bAWUBUl2+cNLzATKfA5+N22STinqcfsKT7YYYma0djKqm/iRvvU61ncqp8zT/tdrUjnbgxc62UEaxdLcuTS9klUsOWukdHJ508iLTDNxoYvp+QGA2jO+LDU+8a3yj9A5yTSW9ICWRNbmFYhNBeKiz0NJ6lrKLBdGf/qn31UG1Dz4/gZ+nibqIjcar6ZDV+579p9bC+kZZKXMIAtp+UaqP7eLiHceJ47WVUXblWDUmWb4fnVAt92xdD04jY8l3xKsIibMYdrGHIOCE3nVcW1yrVooN6buG97z5kgmaHU2oNHwVlLnxCkrcei195oorqXhov+m/odxCwJVT3OI3XGZeB958KnBnjW8lK9jjT9OL8M9dTNPjjRGkxWQ4yGMFo1SqF5RSrktj+bwqmsFgMYLxByW0VV8MTpyh6UXtOacXJmGo2TV3HLqwbzct6kBtXTCqwdyml6RmJ6mEa1ooUvbrj9HlX3uARrnaZwu10uRogs6Njqq/j/k2e+o+g/Va7D+D4BsHiPxV0LoJj8fmfHPQ0zYwb1Am3g824EyKHl6HN5EyKWMdwaoEDmzZG6c8T2HT/KbBqFKJIn/2ZzTy13+9qUpN7cALvfKp82YsTuyfUZuntm8Uj89qMd7BPNY2jw5WRmmlUcC8jb2txgp5Gnv8lFExFgM2rkylKxwrTKsbzT/1NcKGYontDZrdh9Z72RX60D9WdD/jr6iX0wbw/Nkwnqxbaw8EoxoG1R96XAX7nUv21KS8xThoZwcmOIjkOOSkNmGu3MCfF+ljqW++wWzGQHlT0eqUjdNVj7H0Bd1fahWX+UzwTeP7rUFFPePvhpToJ8+ojatowe8ZVZ8CF1TxLSxJn5+Ye0k1TY5T9cbnF+jUZ76mArVQjN175AglG/gcqWOwqrb5q8Nz6phd4S8UrNBuck25KEgrdWvY98LGgVHw2Wl6lr8b7ksVwE3ETXDIBOZZvWgp0JxCwctYqFRMRkyj+T6u5cgLbqbMnbfUiSfQnuBVFRQoivlSKO1xxvbDCkNEC0kcfxEEePvxa1prupxWUoVhMPMihhxUgbA7IaRzrMIc1arIZnZGgzyjzO5hC48CPdhhQt/IxJxvlF4po4zEl5VReiBHKdBkrzxigohbaXql+mBUWwbmevCEgW0WlfT4eowk6wNN+pqolDtXv1eDlAL1t/r5aAtseB46HUIv2AowVZ/SQYLHzxiPLlvK2QgoWaAOOL2Sp1PL1WCpqgQVwjfKDA4tBsGq8aK1ADLV4xJKeVC86oj6efS+R6hklZgNiwqmtZn2MQjKKOyI4b5sO00Pn5HPazZPGT2RNIoHvm7xuGmnHXlGcTAKkyPtG+VX6MBHLUhJVDO5HcsoBdWGDnT0q5hBu+D8oBtrJ53EqTMwd2vOM6cvhk3VM2WHVTCqUusX1WW/P1VNT6XppYwHWZYVj3HHmJerttbhfWXMkgOq6TlWO+A20U7AdHrW6+fWF9fUhkG74xsWa1CIXtgo0sJ6UR2re8leWiJHpT3XvNdIQj1PHffUuElnWEql1birrov+DCUrAFXhCZseH6N6DKkaeHdDGaV9hSoV2h+pNfM16SY6AL4LvlGWiXlh/qLxRELgSS2mlCm81yfZi8GWxxFzjJdQ8dBe+vSTa1TUQRD/xobbpApUr5geTdLFtFYEfPVh2gWPF3jFXXag2r81AH3Clw8dpg9ffjUl/KkLmKDbaghrHI9xcAjtgNUObVZkaweH278+3yZ9yu77m6TTMOjT0E5MMMruCxLxqgrBl6ZXo4zS9zKsKZJOpG8bkmHhQA9vsCAYlBpN00Zcq8v0fIrnK/lYvO0NHQWuCSsKAtQQsSN7lSdY/Ooj9cc4OaZ8igr7ZumR6V1UvOYo3Xf4MF08fLD+uVa7K6PCZwN4joRAFHt/Npt71lT98qkxHK6Sq/3zmAIvZnUQB31tPpWq26ivOS5uuxgrohFK3OilRDOsSERGAbdrU8URaYa8udFJml6T9Ec/cfgG4jOe9frO4so6jeTzqg9A6pafiqnKXa2oZlOy5gb7VpZp/twSRTlYz2uQoHvW7lPbHJ9HpkZNUAEB9vEj3ngGYghMRSI0kcvR1Mkz6rHsU66i22860nz+UWOUbSuhSyaNnv3GQmMKQDTJ0sh1Jxhl/P0sZZS/wAYHJfk643yUeL2kx0yz3o/HqoFmzBGxeZz3/K3UuW8iDMEco1GGS+Kqw6qv4qIr5m982Tp2f9BM9BJEXLdVO+WUP6+pmGrdZwWtsAvDYI0COwQ2FOPGifKsaISmmh4mJc3y902H1KRSFaK1ekcSk+JVvavjD0axTLBnyiiODuugDw/kuRR2jvvX/Hjx43lGucaoFEop9ft2PKNwbfT1wWJnMlJp6J9iBkKtdvJ+aNxx807s5WnrOSEXJnFUFtE+QGfGvA4L1em8Y0uFXpAdmEjRvvEkfeHJZWXU/2+PXqT3ffUsrVb0MTUY1D3TyJDBn4Dqhn7D7tN799CT4xMqKJf/9L3G0yMsuM5sBr/p3ZE+gHPG92zl4mo12NBGpShWqmAAhMIFSpEN3p32qQ7cDtPj2PNDmZjrFBcGZXE//8SSUlnwgqXm+KzrAPNSjMXsQdK3YgZtgv4TJrutDLT992LJ2q1EAMkORuGcQ90UNhhlVEowMC8h5c/yi+ryRgLfmqpaEo4ZMd3VrGlPdiW9ToNgVWWU7RmlJexW38Ftoh3lgaPTwlKFgvL1a6cIAIP+DwHDb5z3FlNQ8IGJdG0/Av89228p+fRr6NxVl9Kp3XPVc6P777LlH8Em0XxdORhlFCvdCEapAIF3LmdyekPCUkapn/XEdk/B841i8ue8vtbRxuDx66uqL/iktNvmFqenVNnwf4+NqnNmFEd1aXpbEIwaidOZMS8AUYw59OS+vZR+6e2UvOWall5UuMaTIwl1vfzV3ZRCxN5Bt3akOW3ONsWN98oqQVW39alD+L6zvU+4yEuThQlUgOizuZKe7Rel2jtX3fUZmNuLN5wniEShns0MoGLZr0RCINYLmuh5u0nTq3pGsUVC2ymBWmHIQeGa4xjLUOr2G8096P9b+NRN3nEjPXbwID0wOUOnxicoHnA+TVvD3wVU0jPvp/8WgSg2+26mjOLCBOp73+vGdRpSybcYLa/Xb7CVLVVVOWCeZvc18asOUdTniQOlh1FlcLCVvZ6QLqhfk6vi2YHVTz1yIbCSaKtiUUEkdTDKueBlFayd8Obe7vRE4HwYcyV1HA18UbmwAVApj/c/XlU88TkJSIEzgbhotG0vvWQiRlkdEFyYmKCMXdkwmahReMWvv5R2H7ukdVVLWArwsdkFS7iSXixG6Ta9J6MhglGsjPIXlmgXs3FuBaNc33oRqjHM3WNWJT6/6IQD9OVYXPW1ZQ4EYfM5lzfB2EYeba2IX7qf0i+6tX6M96vX7XtMt59yiGAUPnucx+cAj7CgCocVq/poKwZz9j/kuKlqI0Wnhc4Qza/G3yKEZ1TUV83CnuwonwfdEWHhsxwPTtPrdTDKTMg5TU83zmwfzcsVAQbmeXsh2E41PTtVr1SiCZNeGZCygg5Hdy4mGNWks+GB83BSPwcBipALPjVBiUWVYuVUPF0jLfYbYLZ6nW86MKGCdV98clmdL6TvmUo5DZRRqLIT40GxRXCPBxO746oGX7xzO79WoC/uO0BLk+PK7yj3qS9RWZuxh0EFG/nabANllL04LJ+7UK1O18Yihc8dBjhcRzYxV4/xva7PxSMLG8o4fJdeWIQFQRW0SKWegSrH2hV9ZLVIj13YoJsPTqgKZXVY1yGt2+S5VW8gHlQDc7T92w6HV4IATNAQ8+bKnZ5nlKWSiER0Rb3Gk4A1q38y6VVqF63geUb1SNUKZRRAmiG/b3kta/lFVYNRnWLSlKzxjSubOlbfwW2inbGCjxmKVVOevM1zhOsDM/MnFnPq/kGhikiAif1UOq7uA1b3YdPj3MwuSloqF17kGzWUrSTUx6q8JZC+zsGzLqkETYVNrvDnk+zH4HOFYNXiEi2tVRdFri6CkuYFFgyDtS+Is7u9ewGcu/JS+vDRK8gZHaHbj06btK36anq6DfjmNr0E7frc3Cw99JRr6MOXXkXOdZc2NJENAm2gkTKGqz4phZQV+IlqlSXUGpyiaQcNuo1Rj/B4y+O0ddxhglHYOEA3NqFfj/2izAKI72ufIb9/PoDzhTsz00aF0n5hTMw1vAAv6Tbh94xCapnfGzEsydtuoPS3PdNU0m37WCMRunxmhE4sZlU/FKQys73MEk3SoUwwKl81aW/mV5pg5Sz6ab/BOnsAWdUHFbzhaN1fqhAKfx8QODAbCck4xa85GuzDy/eWaXc63RkeVPpzIe3YThPD+HpqJU//9cRS46I8bVT3hGUB7vM4Uq/Ws1Q6s2BSPIPgManIFc19cJEL3piYOudlB8BU3FQHt1PgOPvEqLk6u7fWdEGH9X31lexiV1zi/X90H8WvvTTU66mgPN8f9uYTB6NS7W9qmQ3VJmo3LgxhG+J3As+XsYHEwS//egJB0pFvf5YKIPuVb9xP8HytzH6BnPabK5hCTUHtf7P4N7Nrjp19/0KoBtkvCkUqghSTpr1ZAcIIK2dDMJiz/2EnlVRRayV7X15TufMTGJRtN32ewAZEfjlab+eCA7uB2DcFUh24hLpfGRUzpmk9Uo7oTgjKqOLxU1R89JT6eU2Zl/dvIlLjGaV34It22c02peJ2MGpUV0GMBimj0MnqAd10t82UUT4T+rZzvp2I2nHMll0qzVZNZsOk6Nlg0fWtx+boO6/bQ8+/Yoau3TNmJjV2CV0byO7DBn+CFqPVNL2kWsSfh2ImEqX7jhz1SncXS5T7xBfNZBAl2L9yunFwCj43ppz5AO7ABsE7pJwigElxO7tbHBBlaTCqRZk0PR5wEnHV5yDQiInsvvH2ggrYJYZKho3RHSuVBQa2L7p6li6fzQROMFR+PYJXTpRSMxMq2IBgFBY4LXfYtohMItawAmUjYro/UemtWqXnD6h4wajgSQDMs99/3zyt8+QHAUCWdufyNcqoZrLuTuCgmfIE40XmejUYxcqoTs3LawJOuvqKmkibYJStjNJpem2Y7KvzhF1h82bVVI12OLprhGJORPUzUEaNJuvVL1O6XbBvFPc7fK4UJhhVb7DL6ZcRrtTVxuInDP4NEtszSr3/7l3qfDmlEmUWlz3/NgQ7teIlbqkyoBSCQipxXbhFiA2UNDhXz7ls2gtEsG+mFYyC0StSbdRx9bm/ns4k6YF8VC2aDky2165RhfYZjYLVvJDxbSrx+AclcZQ9J3voGcUbl2rRiuqnAcoos8BtYhSOYBRSU9msuqqM0u2KlVG8AGuQJs8q0XYr6fUD28QcysLoLm15YDz02DOKF5fxTc1L2T+mU9BPYZTB5oe94cHEJzJ0MZWmk+OTpuJd4LEYH7NSNX22yX2IUvMnJqbowZk5Gve9Lq8/4rrqqnmcN1CsBXLcNq8OOJcoIIFAj6qa2eBco7hErVeZFcixA2qWLQQrxpGK/dhFX9BMY+a6IfpjXMu8rpBYPnOBktovigP+fjjgXW4QjCrruYE7O0Xl8YwZz1QwwKe69T5b7TwvTGphEGcuP0qfOHI5pQ7UH3ds3wyNvPw5lMC1aCOApNa79jFaa9GSb0wKg2O11Uawus+kKHeIvXHO/n6h5hN6XsZFwoxalI9d95VI0yxoxaBK3e11MMqu6uoEbJQ1gFPu2A/Oj6sLPNjXxGmjGroEozqsprcZ4lAqZbzOunzuolJGzXLbVlLnRE001kZN2tnw0tdw7QV3xOrgsQha08EopHnYAYAY78T22MC8cvo8Ff7z60qqCJn/E+OTfU3Ts5VRUA7Zld/wu7Yj8/rcT0QqlNHBqEBlVEAgpJkMk9VtPMlrNhkIAhN9TnuyB8F2g1EAqUn2ji9Lade44/SxtG4pEVoMhCZNp0YZVTXsXs6W1AIeRsIbFVLlc5VqKFeg4kNPqOc9uZyjB+fXa7x5bFABjCsSboc0vaCKetE2fUR4gsPqlUzcVkaxxDhGn3nsIo2n4vTUA809URqBPsVU6ZuuvsY1h3eZXfNGpJ9/M6VffJu6zvDgyZddFXToVbnurYCDFjAbb+TNNZuJq3vVnEeLxxe9+3+jUP0dL/hi2bz3+rneKqOU8k3LsaPZnOmvXT15DkpLDosJOOH04B6FCkvfxsHKqDbSqBHwtL2ROvTigcoAlfUeWVj3NowC2jUMzHGMj17YMCq4bKFcM7ZxX2gCAIC/j8eM1wImqzwp7JYyyr9B4pfwYyxytDHtweVFNRcpL3iqqHy6NrUb3yMQ1W7KI1c5/Jar50xwsaqMsuY31lhg0sr6BNShuHq7x5Jtb5IhoLJnrME54c/pH3/041DEcbsP6w3ZEfbiCYuqIG8y3U6jTTyjUGjHDsxjPgn4fjMVAXUVqVbBqNEBDEYB9gpzUAVN94eRkWqqNDZXecOn0sP0yjAg8A1rBRCojHKi9Jmjl9EX9x80XoWBWKlPrKBr1iZxL3953wF6eG53XVCRA2zJYpEKnJ6EKrC8mLcWyMmJUV27Mngsg/dt+gW3UKxJxTaudmeC2zzXgTIK5uK8KW71N+incWUPTqboy6dWTMaEjQk+hL03dfA+f//jyqsPm3ONPH5iPFdjo23/e+uAGgLzqWNV37Ca4Kd9vX1+Wf5q62HJZBK0kkqpuXcQOBftztWMUbbVtxhhhC/tMgzREMEot0uFIczfF8tGHGL7LjU8xpQ/GKXbJv+tHkcRiCrxBl8HY2sr6mw+7DVlLHyaXn7Ju16NguecumjaX7GkiqeERYJRHVbT2wwYiC9qKWTp3EXlrzIdraYTqMEvSNqv/sAKJPknx42UUfEoFWIxqrA8UMvtMHlGKVJ+357AnRY+nuNQ/ClXUOqFT6c1N9LXND2eDNlpemwo28muOQfvrptOUYoH7gaLszpVTjOlC1+jDpVRaFtI/UETGrlkrmqQq005N4MqVY4J6UrwLtKKnpgqWhy3WYxaVQZtD5z5tbw6dEyyVFn5eMzIgssnz6mgLB5HIIrTvPzg94ltmqbHtOMXZT+fJ8pIg6hW0/MGhoVCRak3vvnIVMdqJAQHOIhyLmF5R4RY+CuDej2gTaRjA52i1yl8Xsuuq/pZBKX86p5LptIqE/MJHXhi0KafXPLuJXuCzAu+eA5+YL1L0+NYkGdiXg2AjfiUUf6Ur3aoqbaJ+9sa1+zfsWcU+5SFxfY02Mz5uWI2o4LiSBme1G3VBpPymw5O0OmVHH328SV1rdHv8LlSGC+FerN29EvY6Va/R3pMlwsu1GyQYEEQMDGHUTLYs7ZKyytZKp33dvTLHWxghIavsa2M0p+9FIkaZWG/4ADLoanO23TTsd+3ePFfX6TedCsAGXgc8LAzC/Ki2ZDknXHvmHTKD8bkBmlLSH1HANYct9404yAn7t2qf0+xYQERvp8zA6pYjl99mOI3XE6Jb7qq+lgmpaqHqYwGBKR6pEzthMtnvPl+UDES9FHwMFRzwibBP3ONkDoawvsT6jgo8RFQrPNThI+T/tsHjnvpZZiHJLlIk6WqHU3FaF1vlneaUuUPRlUVpnqxHWCuvJEv0dHVJfqmuRE15n79jLcBaFP1zgoX0BjZqw2stXquNDvVMHAT0+sFu6q6DQfOovE4xQ/vpQIHYKwUZmUczb687DdoBeI6AUGoXSPxumIdmyEoTa+slTaxDlJUzRyhSTCKLWg2qzg1yigE2Nuo9mqUbxy09lWu541mBKJKeoPPbzbeDXAP29V5a0QrAartRpS133PcV6zAYPUfIDfvzSPCMlwrgG0CpLTn06yMWlRGtxPEvkPJ2kbiq6bH0VV0QPF4kzQ9WxnFKSPaKJD9I3KFEiXYEK9HAyomtBswbDu4m9IvuY0S1xxRxw7BQF+rZ1m51QXt71HkXZIOjoMXOKrqWSsPFX/efQgDcyN/bzdNj8vQJ2Nq5yX5rBsp+cxqCdrNENGD4MZazqQf2RjFFFJkWiwm7FQcLMzUjokx8E+qxR8MsLHjhrfCgtDZt8szQ1zLKuUQ+7RAIRVEFh4K3L4HdNLrRy3+bdPb1CaDUXEvaPSFk8t0asG77xdLLt1yyWSd/007YDGB18Wi5etZ18jk/WlArWC1SU8D0zi2O+7wvuy0lD4po1gd5d+1xo72nvGkUUExZ1Zyyq8J2KopXvAl8rVpet0ORjkoUx+NqEAYB3WS+bwJDJn+roESNKw62J5E844pPq1jXSMeI9otnW63w06UPAz60X0T3t83mpwjqAhPsZNLWfrMY4tK6Wen6UUCKocaX56YU5Xt54tmUmibuG8Ge4PEmEwHVOiBsbGDRfaT56hwzqsGFdfmyr3ApAQFBKOKTrTvKbtzo0m6ds8oHZpqP2WkGXHdv9WZk+O6Wz+WOlw4drpgN8Eou9+11OMIovvBgh3jMKvb/AbmIB5zqMD3L+ZGrPTrNE0PFQlvv50Kz3hG3/puPt7EtUdrvMNSCYc27EJAxuJi64NRu8cSdMel0zTXQM2C4G6rIhx2MCrKgfMWQRi0BfSRgamO2sR85cxFOrOSp7VckVIc5LLOK47rkekZOj+SIZqrWku0Q8VU3aiqMuy5N//e7m+SJ8/SdU+epOhnv0rX7M7QN5CO7TMzZ2VUWBPs1J7pmvs6EZDqxnDbith2IUHewElP3ZU7csA7Jp8yxQQa9FzBfMYOq5XDtuGFV822VbClFf6qbSo1Xwc32Du0HWLc5pooerrlh8yBLwRoeUO3ZjOt0THyXFzP00wwSo8JMT1/KmcLJiDJAcpuw+pNv3chb0aEqabH1wtpv0EYBbi+B3NtFpySYNQWgIF4IZlSC2vcMGP5PI2ygkNPnKt5qrWNhG8GlEb2m2bW5IJa0UssXFRWx5jOZz57Qf2f18ED1Xn2SCIOc8KPXn4VRZ9xnVlMwTS539WzjNEfVAr6xjMVjTYTjEJHohf+jVQs9cqo1p5RbPjerncIT/I40IBUvdgl1fKsmyJRlfGf8gWAUC0snw0/CMZQIl5/rxajLFVGta6Yo4JRmFhxG8GOLDo7NhMtPnFOLdShqMGxBO3kYufLVNPbJsooVW7dUke1rYzidqkHvl0ZLxUO6rFyzrs+M5MjdDjIXLzdNL1yRU0yF3NlKtxyHSVvu77toCcv8FNDGoxC0JbVTUEmx0em0qqt22blMKOdSsdMQIgx1VEL2sDct9PWTVQhBCtNL10s1BmYbybADcNfVmooHw/dJxtvCc3saJyu2zNKk74qdu0FozZ3fq6eG1XpHPDKaQQCUlAacr8Y5Bllj+Vc/ShSE4yqLt67Foyy+g9/ip5N7LBXBWjszHmK6BThkb2dLQzbSrMISNMrRR3l1dVPcK/dsG88MM2pG5/T8anYa0phh6zWtVm4oInyPrHanzkm/T3SiziAboMxGJigNFLVOGVXty3MNQvsHYKNU1MdMd5xMAr9dr+DUUEgML4e18GohaWq4H8AglFoT/snUsbLyw+uS9MUPfUkXnSXKVoOpwC5bGZEeVYFwXO1I9k1+tyJRVpe3vB8jyK1YxYUw6dndtF/HDpKiQ4X434POr/C1KiE7FTgNZ0hcn6Rrsivq7b4xSdXGvjzhht/MH/fGKmej8yBmcbP1e0m2qAgEJuw82eYuP4o/efho0Q+E3eTgqgDfaYKXxPz+X7DaXqmWux6TnnTYUMq04EyKmZ57jUCPojqOZtc25rAE9YppsBG69eMs48ae8vpoCMXquDfq0BUzvKL7gU6rgCT8RrvQp7T+YJRJ+dXqOCLPThZvQnZIK0yYlXjVP9fCF9sSh1LW88WugIks8hWjsx6O4/78xvkmFxq3UHFG0QsdeeI6hFxf7pXIqb8H/BlT0LR+LB4XJn28plLpxZUapSp4oAc4B7tRHJ03Y4V5LSipa+pOdakq8wGf5tRRukOpbK8Wq161igY5Z9ohjAwb/RzKzgVaLKLEtvqsXivmSG3zvARqabxNlLisFNnFqMwzDR+UUlaK1RUwBLBKF7UcQAzdtCr8FE6eU79D08XpJzB08UPOlMEH71jH5yBuRV2med2/W64XfKkjI3oX3xsjg5kvOsyN9VAZtsGKR2suH9+TUm6Zw7PqfK27cJpejWL9yGA04yKUGLqthtkwg2zZCyEEYBSz0clzOW8UmjYJvH+KnEYQ3qljAIYL3DPcQAjXSpROopqb2VTongzaXoxO23IVkb5xjQEra7fN95wkRUqTW+TEzz4CH3n9XtaKgkPTnoBKaQx2Soqs+C3/DKMLw8WSXqhg1LUPN4bT71NYqt1m10vpOqhp5xYX1fHhmsTDyg33y2MAjgoTS8a7equ/FYCvxv/5iBjV7vqRzDKGBoXStV2VhOMqloZBAajdF+U5qAWNuEwviLFUC92cL/mebcdQWs9/voN6eGphj6mURXCQQRBOA5GGV+1WLwtP7utAvOko9MjoeZ30VKJYqyca9Eur5obVYH4IHiuNrWyoubaj5/yAnhoK/Z6A+uTUf3eQWmGofBV5zTpVNyPskLKKr6D1HOmdO/DdPWuETqzmq/1INWvV2eJ0oSS9tBcz4xQtIl6mO8ZrP0C02JNqqT33iOJGN1x62V187cKnzMdYDYV3wYpG8CnjKqseCp9KA2THfjGcXBbpRQ38Ix1OCC5yTQ9vgdUtV99TcJ4Gsb8yjfd9vhxE3jKFSjCc6oeeEap99JBXr+pfVW1XZ1n5s4t0vS//ictfO5+8xiuW4ILrDXwjDI+1+zVhbVxO8fY1rOFrmB237TZ3e7cRp26xuyM+tP09IUuYrLoW9ygU0/ddr368svxsauzBNN0vC6MUi8sU4nfs4c7O3wUdn+R0x1SP4NRqiKZPu/cWXM0uJXZdlMFijbh87y+ouECTE09o5p7S7SC051gTt1t+HOMRlzlkcI7pdVKepU2glG+xai1sIaKB+0GaXrcRhBwAg5M2aMRiqys02g+pyZCWLT7lVqgyJ4OeLFtMGFkapRR7Q5OPEjmAyY4ISrkhAWTxrV8mc6tFlQ1qU7Nx9Evwa+lXeVLW+A8zM97X41KOPdIGVUqe6ktjSbaGAuwo43gLq7X6RVvMox2bfty2ZXXRooFLxjVI88oPlYVRIP3hz7uNILGXKpXVSnqvB3Z97/aLW2gjOoUVnR16/yETSNFQOpl1+2p9Wbhvoc/Y8VV6hN1bDDu1/esKkWtJ9Bh0gDCULMp1UQZBZVbZaZaOS87PtqzDSr1fjzO2Qsx/dltxdB2J3bZQeWRCQ8iP7aPBys7egkHvNQc0sx96tupF4yqN3M2m4isjLLMy7mtYE5adGp9L+vS8rXH0fMu9/x1wvTd0YWFvvXdjUjHorSeqFVG5WNOX71PO6VZ0IjheVu0hMIv4dL0mr7eRIYiWLhWXHp6skRxndURtDmASqWdeAPWe9DxRrPP64m9WC0lZpK9miIRlW46c/qs+tFWKXOf1E5Bheil+2klmaTVw15aXSOM8ADtOsizx6i7qvdoUPqya82jvc9YNT4fFFRVQ9tkfcVL+cqnO1To2/1JgDoKqk2zHtlsMQzOqimXjbF/mPZg1vJFPcbpgFNcB4aMMi5fJKfQu7mcOl69KeUPUEZ57WuJXvJnvTT9zKlz6jza6dhqbG7w2bm9IeMI67lEAy+0Rgx+LzqM1fR0EKm0y1NGja+u1gWjzODtU0ZxxL/UZgU4tdNdqUpny6fOm2BUp6aBYeBjtBfGmNTg0b7vilmm8Krykc/ksC34nHElnGYpK/5BIYRnlKHDND1WnHQT3qFJul6btL1uUIVpnE9jmGCUStNx6pVR8ItS5aPjaqGOwRdfHMDE5MLZ401i962uKGk1ctyfXK7t+NDeSlZZ3u1UqW1TaXo8+QqY4HCKL1/HzYAgIZo+zEtRjWYzvOiq2U2nDTYFn/vtb/e+2qju0ZVgFBSoemHXKAXoyHSalnMlpS6EQgpKM/hwYGLOgayaVJhKhRKYvHCqTU+UURGVhqnSifTuLnyjbH+8zdxTOD/liJ5EKwNzvavbrWBUF9P0Nn0setxRO6ta/cYTZYxJXIGsguCifg6nIWz6vfHZI/VqsSASR/eb712rQmYvMKlN2KXiBYqe23A62TCgqhXumgjcgKqpdtWPhaMVjGIloq3A43YacyuUDyj1DWN+NCUOvvj9otRbOJYySps4Y+PU8fV9mPuF2oAoFinyjnfQyF/8Rd/67mb+SKyM4nl5zolti2BUKLjIT7lMcS6wsIl2ifGB1VG7FpfoklS04ZyG0zU7VUb5PehYZclBb/4cqo9VU86ySj0H8eu8wjiJh0+o6n+rVjDKBB/aGEOm9kzRpy+7kkYv3df8mB2nWkmVN07t3/Par8VYUPWMqu1HByobwOdNxJX0Ki3GpEaoCom8tgwK5Om5v5o9xbukjHK9wFLY+4KzFFS1VFSR120zzoopVpMWChSz/HJ7QUz30QlfpkWU+3JLtc2V/dAP5M94gamyvl7lJvM+Tl1E+ytf9FL0Cm34ig5JL7q9qunxomQ5naISjP6KJSrPX6yNplp5qjXozpTNKNtNq4GHkHrZU/N17v69gAP59p4WjgMDeL+l+Ha6BAJiZnd6E2l65ucmue51i/8wnlHmb2NtV8JAis94gKnkpmEjv2JZVbn70pMr9K8PLdBD59fpwnqRxnSQNYzSDGk3Ncoo9oxCJb3VvDHiVGo/BFL1rqz6Wz3BQTAKqiikOiEYtm7tesEAGjt86jUGKHc+DFHk0Ec6DEahLbMk2pKkq5+7KN/mQPJVc5mhSanpJmjfuM09018dfG/gg4Oy8OgPH15Yp9PLOWOiDNPumjQ9+AvpfiexoiXQjtORsrMV9nsX9KQpspEzflFNg+8hQJsp88IDxqCcptclzx4VhNGv1Svpe/s7q/p8ohiDNfZwYAZKN16AdE0ZhWISekJoq8WCSB7eY0zlk7t7Z17OnoHcsk31pyFURoVSC/Rr4chzCZxvfW+bnXH1++rx5LS/oD9Nz563+SvpeS8RoQJv+mllFMb5fhvS9wL031nfvC8fi3WeWjZg8FwzUS5RjO0NNjl3ci7x5mrl0wt0ONF4TrN7NEkzmXjHc4m6ggg+hSn/vqz7muxqzivYECGKX3OEorsm1Frr2oVztJrT/RGUMLqfbicYhXvku67fo9K7W1Hm47ZSBpnq/LXFWMDzPQ7qs8n2ZhVB3cSnDuZgFFlV39uFi+awt5ZNUW9uI+C/aYWvbfjthl+XIWDGx4i+0rQlHRAyyijXVfNDtxsqrgZEd0+ra8Ab+eYYuf+3glHsAwjWHj+j/s8vrTf1i6qNWZSoqCvyurqIQahjDP1MoWvwouTceokuoIIE4IWiUUbV3rx11fTaHCSU4XCp4imjUJ12aY1iy2u9T9PT/YBSIllVzvppXm6wPBGw+1HdnY5tPhjVLDe8HQNzX2fUbuAAlUngW9Kux0q7A/7TD03SLYcm1fugUtvFbJHGomy63noxgVvApORoWScoxeOqSh6qGzHwE8KuLBM7MKc67slcVqUK7B1LqlMKrx0Gwatu7O5tBRgg4tdfTrHLDngy93b/3ucbZTBVVjZ/PhD0vGJ2hC6daf/4dgrKF0lXoMIireGOUjSiSso/vLChqoxeosvLI+BnG5iDih4fYroiKldm6ZWBOcjp1BRUseSJCnsQbIaKvVvKu7qsltwkalf+0B4VgLGVhlutjIJi01ZG4V43Cx3snhrPqO71WYmbrla7/2rB1ew44zE6cekRVdlqTC8iewWqrsH3UsFBc/Zy7ENluYHAusZhq3VtBmPmjHFAj42OvRFnLbpyvo0MgDEYXk9MRZdmj1gLSqQPGwNzE4xyejIf6TfoU9yR2oBuLjZEyig9v+NAlGKT/VB0etzbuCiVqaQXtkHBKGwovuDK2c7fJ+nzhOJCEPpxVm1wCltBt10aSauAfeJpV3nHsbRI+Yt6o4eD5B2ch7DtnTeXKgEpTWwi32o+7TcHpzZMtvuFqQ5frA1GxSc7D0bxxlWQMqqw4a0nuDjIZkAwq84+IGR7wHpGHateays1F88H4rEaJXhFBc5605c40+M08vLnUMJnfk/cd1mbnmS1RefMgjdn0dfLGW883zepi8UyFXQac2zXeOhjHJJedHvByqj5tTwtjdZGDqvV9LS81IpY2gvMdg0vEfzBzhYWqtEZnR64oNVYPZwIBRuYl/trXu6XofuCUR0po3ANrSBHM2VUXcfVbPfHH2QcoCpwJqhTKhNS+2GK+ZzLdtF3XL9bBcBmktHwuwaWMsLzjPI6wFWKql0CBDv8bdf8bSpBa+PeArN88pxaOENJ9aT2jULneWYlV/U9GKBzGBaUlU7eck1HqVDGHNivjGIpcBcGaHg93XRwUqVbCk2CUWXPwLxVla7DU94gj93hjL7P/MoowClzkcWVnm4kYIGF48a9tMEVpNYRjOqOMkq9HgeecP/zjmkXVQbJW6+j9Lc9s211adfRwRWooby0TbcmTc+xjUwbGD5v6u0PzFHi+stC9SWjl+2ntauOUrzH47NXda223Dr3T7ZiaMcEo/qQShqxFuRczdFserKlgj73pjKuBcZgpKoxrl5gRa3dbxRuMNdVV18qDokyCiQSMSpa42feiXfuczRg1PWTXVCVoE05B+fU92bs6EEqklGX+pRRcZ0hwCohVmEWdZl6Tl12ZibVRr1SMJ+/WPNaULf0zOZBB6NKlhrFfCbeTG0lPDAKYw5GsTJqgOa9xii75PXzWgmW2sRGkUlxDAhGFdn2pkvjqD0vgXo4bNDIKN908LMYq7UMqVhrb7eHGUog6Jj9FgI1huu4F+AvvbhCFX2/JJoonUzws1gyFXnT2hc7DLKS2AJ4YIZHSNHnzWCqZ5lGUrsYYdPaSpvKqJReXECh5BzwdiBMqkCy3wbmFbWY7Tt6IoWFwEquZD5/R55RvvPWXBkVD+8ZhbZhB7m2eiFlYx+LlRKHa4nUIk5DCXvMNYtRnaa3RF4lKnu3EW2XDcyZ85OTNVX1YAIN4/Mnl3L0kW8s0BeeXKHZhA6ODdAOUV/gz2sNKi6uDV+fbaYU2/7KqErLVA4EofaMQW2WqQ0I+fr/IqeccTAq2ZsUNATCoNLC8a/G4pYyqnvBKDZGVyWpOcWgyykvg+AVV/Xi8QJRBQTz3aqBOSujHHt3fIsCMkd2jdBtR3qbosf3RlH3//40vZ0SjLLHyXYMkjt+P1aP4HwHeEap53AwKqDcPNTGMPEGqGDF6oaopW6A4hkLLu9JZBbzQ5LJplTaOavPRZoe+sqhwImSa/WX3Zp7sm+Ued0eBKPM/YNKkUiL13N7R8/RHVYQc+Bbq/YcS3nOKUwjugpYP9KGo+ngYBSMox29aLINzJsHenTwSquP+tGnhIWrdqJoFPcb8FsbHe18HmG8sgKCUahMq963S2tbu9hEO56GLve5OnBf8ql+awJQqS3wtuTPZc0zY/oeKeuUvLXHzlF0w7tfYk2UUbyB5uQL6gutNzYtyqiBBhJOTMZwseIzE9UGkYgpUzu7A4pWaktXGrVDmwtsLGzwKgXLN4qJ9NnAPL9FaXqcH4sg1GreWhB0mBZgnzdUI2r4PHvxj6h6iwVSTfBkgAIHKrLOA1+QmagxhA8ZjLIWo6yMWiOHxnwl1NUE0JeuenrU21GpnF9SAVoEo3Cb/Ntxb1fruZftossnkoMX0OsDQWXTa8xfd0oazBYDlUBRp+m12j1Hn/Dcy2foiFV+G4o/BC9QfY0p8OSFJ549StPjYDCCYSvRWE+UUSboYCmj7FShocEocssquFeyAvnqXtTjCKui2tl53a54VddqlVE8frg7pH8yFQUtH5FewotTzCF5k7Nu7qPbarFhmp6+Zusb3gLGiVIkM1LTj/nTLOEZ5QxAULgbYN7KSlFO0+t7IZ4egWtnz5W6tWkVnZ0yCqCeBaPYhwfrJWsTjgtBmIIQrA5n833LRy+qVRyT6+tqw8BYovQwOB7V56Ls94yyAywtPaNqK9VFdXW5QdqE5fUsipVwBfL1pOeV2Sk8TgQpo8r62nVLcWoHo+zvQ6dhcpqe756y/SyjPTIvb4ZfGYW1GIzLQfKKg+r/ypPnKM5Ks2a2Icbo3ZvH5NLpttZew9GLbkO4ot70aJKcucn6TtruAG1zMZ4ktCnBZCWSStUbz1DRUvL0VBkVYGC+VWl69qJgJVekhA5GdboLbQejQqfphZA924PIoJlvV32jAsqpmlK0sfYWoxigtGfUWiRqJrwMG5iz7xgCm0uRGJV0R46dFlQfe+r+cXrW0Sl6wZUztGc8WR3QByig1w+MZ5S1oDDXqxuGjkJbyih4BHVicss77naZ9bxPCdWrjQT2NcTGwaIORiGNjOXazYLvYWGvC1VNT39G438xRPCEDzvduJYle/KMxbxv0bATDLwRnDCeUb40vU6VytsNOxUz3odd8WqqUpEinMLu65d47C7Z5e31mOul6XnPr2hD2+h4pm488fu0wG9lEBSK3QDKsFVrTlZJdG66PYjUzN26VdETm+86VU/93IWxww+CTbzGMF5lkSjF9DqDN+hMgQidQhq1DJnhbwVlbqJSpo2Flb542MX1usFfTY/7QngKtdyYMBvEZc90nc3nBygYxYUSXEsZlU9vriJvdf1Qvxbhqond8uKz1brtBKN4fsZt0p/R5FjrRmcLglHc/0P0Yhvpo90ljuxT91RibUNlOKm22OQY/eu+Yhvm5eoYOjh8oQuwh8hUOk7RuWn1fc2FjnpKprrIr564tSs/5Ag0FhfoAM6PW/K5Hu2u2w2MhVHY5c+X3S31jIq7FVorlCnOnXanwSh7t6epMso6v2E635pg1IBNzHkCXdi8MsosRjFw6L9dpiiN+FRzCE6xqk+9TdlVi/yKruLDC+Srd4/Swcl0VY2nj3HHKaM4YFgTjNqZ50KBdvaMZ3hffVzoe55R4dL0gmA1Vd4ORmkzcaZXleJ40bmWL1MuEqWKrxpOVxYUgcqoIZySmGBUxeu7ODAc87xIVNUd28h0yFVRAJ+bUxb8yqjt6PHXCbbBcLfSSZphjPIRjOKqUP65j1VUwA6CK0VfBfM2nW7DxW8CFhycmtKV4KrjkHvrrVR42tMGQjUJz6wVp38+L/3GVkN1M52ffaOwqu3F5rcq9sFtV6ueStZYwvMeVg0ltBLfVkYh6BOd8YQB+bMXO/bn7UTRVV/5WAfow/ivWilwJuVZvfjW3y91yqhyNRjFaWAdwwUZ9DWtQZ/Pbvkh25tkYa5JowCTv2+MWcGoWBeKwnSujNJrqzUvSFtJJVQgrTBZjROU0snmwUNUe7Z+jPosiFqxM0b9LnD33Xerr7LPUHwzO89YrCAlKXL5AaosrVL80gM+g2fHk8xxpSGUIu0w4svBH+xuYXH0eDJD+/qijNJlgHXghw15bSPMvqFvvITrqpSuuPGM2mSaHhYVzV4D78u1O0MsNGo60AGbmEOp5bZURoW7trzAraxtGNXYuhupV0bphbFXhdGhDZ0TrySjF5bIXdF/3+h4BmiHqB9UDcyt3TZzLgarPfUFTCTuvLPvb4v+HSl6CKKy0qgTZVShVB3i1/1KyR75QnDwbAlGxqqKVIqIyzHjfHajHVleF7xj3enGwCBjF87IVSpU4XvR+qzleIxi7Ac5AIvufsD9v98zatDUwL0CBsN8Z/eyiAwTS8UJZzhao8zzeUaxr6ZbUT6NvGnKno1GGRVgXm7QcwTu8TaV5qT77sL8/GAEo2JRWtNpemo6N0C+PF3BTtPr4n0IP6bYkX0UyaR6osxmD7okgh0mGGW1Fz0HjOrKrUkdwLCVUep15qaoeO4i0cISuXumej4Hj+rNpIhvc5eViWH883gcURs6ls/VIKkRHT6HCJix11wT/6FQWIqwOnjz1bd5t9n3Uu/XRn/mD0b519r4fbnHG4tN0fcIK6MK6zklIOFjSV4yR7Tk+ZO6Vjp2EDUxC/SVOuMrLMO/Bdcl7rrrLrr//vvpnnvu6crrxaNRmkzHlMQXDTT1zTeQs9cz0PPvkJpdY/yv/UPazYVFWiDGAASDYPR8fmSEXEisJzI9vQl43GFlFAejtqIcLgeMEnoKuJlqeurv2OujhUpADQo8sLeTpocg14Dtkkd0emiNHxHT5s42+1W4q9nqLmMEwahocCBVDzo8MY6NZ2qUUXVYqWk7CmPmGZCmt8MCc1tJzEGaHoL/bofKqKqalSlEolWD4B6m6WFyj65qKceTdmsHeaTFDlnbyqiqofIg7eZ2DSsYpTzAAvrJsjaJ73ZFwUGm7FNGtZvmvd2JcTo1/unDZ/anArpB8xFLxcebPoA9G42BOQejJuuDUajEaAeghim4io2y5VRaBedXJicoOWjK9a6m6XWvTWIem3zGdZS44fKuvWa90tKpSYmyFXm8CadaO6dMobKZL5jozHkBqAQW4Dx/6uEGHs/1oz4P1hIrpdpQRqmq1Gw+PWD3XNSy5OD5eqzNNC4/ZmM1IE0vwmNJt4LF9nVoI23Tr3byb4zXWL2ktkBlGbO8qV1XBaPUsejjTh/aY54abeYXpeF2hxlrZk6UUduCY3ta34hqEEcnxcoo3UFVKELxNjtIdNYIAGFBj93u0VScMt/yDDUZ6WUE3SijdACIJzVb6RnFXlEO+yZ0GozSuyphIvzoOJVXQ4hzzR3WIE7KebcsUBnF6oawx82DqDZFrujJeb0yyqkJQsFIFcQnM2qn113Vig3/8egBfqepgQLT9PhcDGCb6jmIhC8ve99PTIRLle0CsWi0Wk2vg/6OA1h2Rb0ilK3JBMXZpLRHGwk8XihlFPrK0RE1wVC/y3TH86NmR3eIDcz5cyLxvlhEaet6FVgZfZTuxnZKNTmT7lAoegVO9ALC9lIaZpxEjHB3YRHdDxUD+v4axVKAlxNvECFwulGwglFGGeXUVtILWFBCTYWAeYznrZvx3EG7WFqiCPrv2drCO1sBlGE4b2vPuYXuO7tKI0NiXm6oMTDfXhtXJYcLbej5pNWPojBUJRKhKLJLlrxgiBswjkVnJlRFQZS0L+vy9D1VanIlVYwLFdeoxlDxUilU2gxGGWXUgI0hsXjMU2VmsyoKjiId6YnMJl9UX++AtQjOp6JbwSj7fLYxh05kkupzm+PyFaqw52+RrTQwxz+VCpX1vRPXAgt4AuZH0pTcyFIixPVS91yBaD2dpjGcJy/uG4oh60m3D3vGkuorVLUxrjKjo97IjU50sCOjjKBLFTqzkqe940nlVdHrSRC/OiujnlzOqV33rUjTs9MlbGlipwt0Z+8MJb/5BkrcdKz1e/N7hFFGcQc6iIEDsxtRr4xqe2fbN2CW9eTHH4xCe0GaE9ouwI5t0olQ3FJG2dUazfEUdlbaRxgD8+02wewKaKtve5v3FVQFskfEoxGlalIpwR2k6aHqKr8Gg+p8RXsC08PdNATD4BmFY49Zu2LdMC+vqeRleUYNY5qevZNahsksT5Ttz2rdlzulmhwHo1TfhIArq753SDAqOjVOpycm6ex+NkzoLUo9UlMVKmD6r9tk0q1VRmEDCFMXjMPuml1Jr6qYrK2UGOuOMqpYpMgf/AFl/vRP+9p3N4I3UbPlivI+5VTqofSMGsT5ZxMqptJjNrDdsRIzqpX4tl+UPSblR/W8cv5iz1NozcYz/rHaN1eDC3MNovy5Lc+oXpqudwL36exVtx5P0Gg63pXXDKrs7XS5omBNlck27ou4L8Dk+DYPt1wZ5Vj9F9qPNjCPWoqu+NOuopXdM5S6tPU4xXOX3Fj7qrfBarFCsGka7xrrDqoQczoaBJMxhxbWi8q8e+9Y9ytatErTO79WoIfPb9BTD4yrAEPf0TcKDMxxQNFNpoaoKiGWjLEp3Cm2YWA+iIqeRtX07J3t0OfT9zzspmLNHuSvg0kgK6KwY5tOOJ4yLaI70Vyhfmdhx1bTC/CMKuzMc7GVoI9jRUEnaXrGmNVWRsEA2w5G9dDvD8ooVweHa4xerUqsXZlMDrlnlBoE0e+7XopeNfAWC65ANoTqsECMyrZo+mrX9hcZcjB/uP/wYdrdYlOymyAYFecy3gEWAHz/pSJEK7YyCn6NMW/zsrzcuJIeUAF0uw0PUSobVF9x3a+jX94Ku4leUrNxt802rjgAY4JRvoCMUm0UixTTJs2xsWClR2Vmgmh1zQqO9zAY5URVapNTLqvNQx7PK8bzKEQwij8nXoOr8A3YGOL4+oD1ZJJ2JzZ3jFHdVoOUUUY53qVAoj0vaWddhvUSVGCO3iyP+5VR2NhTnsKRLQlGIX0WSkBUYHQxz2Rjf2stNXZwTn2FocJrj13tpeiB4epJhwyW6/PklReXBSfW0SCIv1nMFtXcePdYfxo+K6/gnfL5J5ZoVyZOV8xuUp7Z6bFYfgiQ6zasKNOL9+YOLIQHlDM7qVRRUF4NGvw56jyjoDLTg3fYnYOo73n5WNxb+AYE7KCk44U90vVG8DxrZ5ZNEW12agU5MwAjSMclW3dymt4WekaxXq/TYBQ2HWqUUeUKVTgYFI+pe6BX8BgDD7eopYDoVpqe2dG1AjTGW2KIUP2Z/lzlQvWz2sH4mknzEJ6DVt52vIhCVUFnyNQmzTg0laZ94/0LRtV4OUWbKKPI9SmjKkax3KySHgdsuLLZMCr9kKqHjbF8h4UpBhoraDCIm6HNMFXv9DzUHwRlJWYyq4NRDew12DfK/Kx9Unt93NhQNY9xynIIVT+Po0q0wEH9AZvn+ddY+XRK+SVvhmgDzyhUq+XgT7c262y1bjvKXYz9tsdnwu8hFXMo9fybKf38m7fMH9jl8bZUJkcLXqIdpgwuX36Yvrp7LzlhRRoWO2fU39bKqPo0vU6CUSwxns0kTJWUXsMbZ/edXaPVfIluuWRy051Qx8SrwShO1VP0IxjFg0qIz44dx5Hveg4lrr+MBg7+HP7dCLuiRcjJp7/qXtZx6lL0GCyIs3oRh4kgP49N9fwm5si/N2Xot9kO36axJzB6cNnRaXpbhK3+7HTRAmWUP02PvS56vZPG6ts0PG1qDMy7E4xyAtL0zMR6yLB9PYwKzF742ZPmIT0Hfjgw7lrBKFTEQhB3p/CU/eN0yVR9ulCvsNUidrlyfztFPbyNQrXfgddoXSW9APNy9bdIqY/apdCHqz1j7rGaL6uYB7INhlUZtd02rmrUpQFBUA7Q8Ca0XZTDZsRXSMrp8TjLx12xlOzcH0ZDBMKMkrRcqW4SD9o957fkaFGZLdRLcjEl3tzR5Dc8dQ8UP91a29kb5+0q5UrWPRX3BaOAMz1O0akx2ipYIYvzGCsUNuVfhWyV49MzNJFp/56RYNQgw5VLfAbmRZRP7CDNjScT8IvqFxx7QVWma3aP0uQm84S7YiRbtoJRUNf0IyLNOdMhr1svyt92VRnly9O2fVDCHrtfGbUejdVV0mNSsaoyCju2I/p5ER2Mcv0V9ezdkm02qdos6vz7FWw7tbLgFgIDc6bT4D+CWLVpehUqzUyRc3CO4seOUC+xlVFYmHDwq9Ekvl3MDuOwe0YB/bkqxWowyp4o29Vxh/Yc+DABOARYtVcFlFFbksK/Q6gJRjVRRqHIC6fFV9P0dECVg1GNlFHR2mCUnY46DGBTdznnjavJ2HC11Ro11HbbuPLPbVr8zAWI/KQyKVpNWp45PUyFB65WiJaz9cEoJ8Q14BS4iJWmV7MhOQggHcz6MRKi6FMrzLnxKaOKeizBHLhbnsj2dQhzTYK8cFW63gDOv12ugFcomhTuToNR0yNxlXU11oGaUIJRA4xt8Gqn6ZXjnd1kvNO9d7w/flEgoi3MJ1IxumbP1kV/1bGwgWG5rNRRij5N/NsxMB9kGnpGdVCW29+pr0eiTZVR2J2tuK4KSlWVUWxiXpumZ4JlCDbuoLSPRibmO7Wy4MAoozr0FkFAKF/ypnGozKfM0OMxSj3rRopfdqBrx9rovQHfa8nbrqfEzccaLkI7qSZm0EHTQZysdQMOMJWKRYrqKq72Ij2W2r6KhE6JxR1TodHVVXy8jbad11/3Czt9x6Rn2OiFSQzjbKlCZZ3y5KmRo14lPfaMapqm11kp9O0A+kMUdthM+vX2qKa3va6bX/Xt70ftn90W6eZrY9W1SqzHG+g8VytZaXomwBJiLDB+TAhGDag1hfKaszfnJje/FozpIB42d+wCRgUO6nUxmOpY/lasyAoLVwm30/UGipiem6zoKpOILXR47nZlEvS8y2c6yn4asp50yOCdKM4D5oVlh1HvfRMpum7PKE2l+3dTYD125WyGnnF4SlWH2lIsz6hju3SqS586CDNQRrb5LccTFL9nVBuDZyNl1IoKRjVQRsUdVb0G5uUYdkb04BBplKa3w9PSTNBQB7B3+vnYCjjdCP91qvZAQIiVUSX9f79SrP3BKGfPLopffrCr5Z6ZyJCn6RnPqHypqsq1NkJi1k6kv18cVmKxqAo+2abDoozqMXbbapKmx5t1CEK5OjCFfkBV0sPvsMnTQCGJfs/2jNpuQY0wGQa89B0+A3O7atj2miv406f87c725SslE00zIgpT431TRrEqtsyKHhyrViWGCSo5Vvqh8Z0awHuOPepyTowyo8nuBaMQiLLU4yUdjIp28bptRhnF3oilQQ1GOd51KWjFq5tKdE1R1g4DenYGj7vvvlt9lbkCWx/gQAmk/XYAwJ8bHZZMwqHr91U72X6ARv20g+076/cC49FRKtPh8QSprr9fKRGJIVFGxVspo5y2FiMYQnhKsBaJNVZG6UkfDPjVzz7PKKTpYdJsOtEOgmPDWVFPBw138vnAJOimm6rf9wkOQHWqiqoqoyrGL0q9bp88dXjXv1GAeLPg/i9FIkqFUecjNWTwIr9crKpy7b4ylk4YldBOCUYhnQvBqGS5TBUdjFKeUdt8jBxoEi2UUb5gFFLiEfxG14P0tMryilFFNVqwxKNRKvDcFakpmwmeI73naU+j4vJyX/vuZvBcZLN9+yBSE/zYZv1Q1Fc5zR/IsYNVlZEWqeazU1R52Ks+OdLjNUJMB6MqPFdTmzPh52v256zogFYvKwB2SgX9QIloLZGg8S6YwkNZrRRuPL/lVHi9AetvD5shlojh0L3v231dDjYO6v3kVJVR6gg7TNHbLAN6dgaPu+66S32trKzQxER/gis8WfUro0wVGqE97IWO3kFoJ3iyGZzZKeW54uwbvAp57WB2myoVz4yXB2rjGRW+S4mhrG00SlG8FhYm0cZpelBGgYsbHIzSnlHYncWkGOaN2bwxV64qgXZmF1eXpmdKBe/AvgNt8sUv7v/b6kX1ZpRMCAghPQ/pMvCLUq/Xp8X6RDqmFqDjqd7cQ6oEPIIP5VJw6t4wYS3yg5RR8VTS2xwZZnVYQP9f0N5CnKZXcsQzqpfU9P9NlFERDkYVUDHO2wzF2GzMy5uk6sLAPBvz3icfi20uGKX77vz8/MCk+/FcBN1wv/rifqFS16B6G0kNrG9pI6JWqrP62TfXcex1U4uKsCMTGfrPg4cpnozTs3usEoEqtuSrphc1RS5CBKOi1U1dNQdus+Jbv6jovn4tmaR9VtpbpyAYDiVtHOuHYsn4HHFQr1uV9NRr1RiYt3du3Zkpyj96ktZ21VZpHBQi3OeveRtCDldr7jOD12KFukZS8XlGdVN+uKOwJkWm4+/TBAcKnvR33LEl8seugk4ZHwGSYAwAJpU0/OBpL9axE64GE7TpSMQYkzeqBIlgFOZI/DMGYgSklDJqZZ2Ig1HskTSouxF9K5teIBcLizYmN0KXlVGbUDKxOgmpesWy29fdeJhQfuf17Zfobef8bEDtUA7wvxgyWOXsuNVgVI1nVCJG61olNogLiV6gjK7ZPNWk6e2sanpbGowK6kd0fwMzZPRbUEZx4Rv8X1nyglGRCc+rMQgE3zcSCdp46tV071KBDmyzoEYreO6Bvnnbz+cC2kf6xbdtyyIKTiLROPikFS2sPnW0or4RY0mHzo+O9cXSxEknPNWNZX0BX9t25mu8qRvRgRj/Zx8YZRR0AKlU16wGyo5eP1gm5rxOttMyu3FfQOXpYvHT5hw6Oj1OH7r8arpyrjtemz3bKMt6G0JOQMW/fjBcGtMhg+X6rpZssrrB8e0ACOFQEwcOnmg5az8H3WGYuKjPwJ2xNXhyG203GMWmhlxxopEyCulKER2MwnPscxkN8o3iNMLETveMKtZWG9khC90akAa2vu59WSlhvYYnXJsxuWVPkkKpGowalt14KGOws8lgoRDbhougUOjPhUBUo+IZWV3BKZbpTrXCQQdBJ/aMYqUylFGdmJ8K4bD9TiJNlFFQPWOchUcjCodwEKZVJT27f8rumaWF1MjmvEJ13x3Z2Ohr390MU9BhyFL07PlUp9W0tpJ4MmaCTUEqWztAE29RzW1Mq4H74c/Ic7UI27C4LjlsBxNyvsZ+TB37GvWBfMY75znLj6sbwSiFPcftwdwf65qvHD5CX7v0aNvV11U/EYkMbH8R5bnJJivpbfo4tuRdhVAY7wiYSGICq28yxyoDLbSHmWwZZdSQLn76XVGvA08iLEZ4MVqKx5XRMyT+QWBCi87cM1Kt7bbYxBzqKGanK6NszyhznWJO2wPpUIC28Ja3eF9cZbEP8CJsM8GohC4dnlfKqIoJ4gwDuNXtCjv4flhFMbYxdFUZVTv23HfkCH0WqSHjjVUnw4TyFtKpG0wlIEAidI+o7dUSNPfhx0oVVSQEyqhssaI2jtAVVXTFpehk42AUK9ug5oTX1Kbu6WKRIr/7u5R5+9v72nc3gxeVg7q43KkkYk41uB0QkHGsjJJWwSiM2Qi+9qNaIuw7QJTbd6VCUR14DTt/9Qej2IdqkDh7+RH60GVXUWS6ezY3ZX19EDxnIjz377I6bHlqgtYm2w+kcT+xGYV8L/HPQyQYJTQsJ+kiYmkt/OEvIXSI7tzZ6G+nBiu6E4wqbs7APFpVRhRi8TrFkx9OF/Crp4KUUTveM8q6RtVrI229n2DugdbcKMAahiSn6ZVcZWCO+NaAzmk2Xe4Z3w+DerSVMirm6v173/1YzozQ/OjY1led3QpllKYim0M9JW4tUgOVUfxYuUwjsainjFIqqajn68WV9Jqo96BsQ/AqV/TauTNkGyC8MdaPQIUQnrjVn6Dlxf3V9Kyfec7YjOmRuCr61Gs4aBIr1YoOVDgqZH9oFEKaQUzTwyZaPh6n0S6e00qAMirK/qhdPgfYPMFXuyCoiTlbZkCzEqIDEowazLMj1CijUPaa82Bh8pzsQwc5rCAKjE7ezfU/TW9oCEjT60gZFa0qo3Ixp2GKHpNS16pEI77nRcY8JUFldb36IJv9b7PyxD0xMOfrNKCD4bCCwAoW3JvZQWd/qHyprJRRSIEZpoAN+0gAOzA11MGoBsoo7JyqYOMOCUZxNT0bd4f21/3CrgTlX4R4T6g+lnGITmtlFMZeUwQj2br0tzIx12qFYayOiOCcKKMGC6TUsdISVfB4I4eBKTvmmwXHoVSIFK5nHp2iiFerrbfYx2JtHrpO881ZG9eX7p4cQO9F7gdGu1BJj6lo30U+Zyj24rA/apdTFbEZ3olFAtrltx6b60tgczsro2R1MsDE4rqcpApGeROBghOTQXBTJ5U9oyRNr1N4h6nGNLADA3P06zlddWctnmhZQp5/738e73K5q1mVb48d3NITZ1umEww1vOjIF6oqMVno9Z0rZjK0b7zz6iRQGSBIUSijmp7bFw+LfmKnZflTDYYyTc9t7BkVj3U22d3W1fT8wSjZHOrtOU8nTb2AwI0463qMOJ66yZiYcypMiGsUr1FG0dDx9EsmZR4+wMoobNpnfH2p8v259hoql3N0e4ggD5T7/QDWCeWYo4IoylZB32eVNubS9qYOAnGDmMrPmywojNI1TAElb44LJWeCvY+6XOjrlksmOw5NdjMA121QvdeqIUNRCUYJfmDAV2JllN6VwuRtfAA7mu2CmYBxxQVJXepqml471Qmx6/Pwnj00dmCGTjpp2tNi54Cr2NQpo1CmFwMdqmqs56jwhQeIyhWKzk2Rs3+WdrRnlNpp0zvaoozqO0/Zv3mzTqSD5EsV5cEybMEo7P7uhGAUT5rj5TI57AcSoIwaxEVEr0DqAqrn1dCn6rY7lXjCIYwG0QYp9RFPmqfGz5GIlyq0uFGkQ1Npcos8ZwoRjHI8f0cwjEq/XZnB8+TZ6WDjBoGYZlU5n3bFLF1YWKBBowLPVKzzcgUqa2/Idvxs7XGUz8GgKqO6qRByebzQ64+1XJHGynot0uU0vWFVQkas9uLiEm2R39hwnt0hgatBRKD20GllCEYN603RF/yTXdmJbR+WvwYYmLcb3HMTcVqZm6GNskvpFu2a0/jSvsEMO0uRUU8dVXzwcSqfOu9Vr7j52FClNLWDyZevuORu5HZ0ZcHtDlL1YGAOCfpm/KcGEVsJM8zm1Rx4SvJEOWAs2j+eoqPTO6OSHkDfXLf7P4DpJcME/JtYPRKYpqee5D2e0sMxVJlq7DXKqNZjPAIBXIXP2aFjsNB/yro/QUAmqCpnKu4M5Bjq6vlaJV+gsrGYCD+XttP0BjUYNTUSpz1jrTMg2kKPF7wZvr6RN0GNbqfpDS0xq72ESMHuFRLVGGSsQd9dy5k0vUF15d8O+Hf1xDOqk3MY64qBOVBGp0r1oSe8HSij7FS90jeeUP/Hrz7ctPz00IMJiZ6gIH0RiApwewLviwIro4ZNZWApgewJ9dDBwaiSDkbB+8ungto3kaLr93Wv7PV2wB+Mkj6q95Qc75w7DRa7PCdKRzwFn/oeBubsxRIqTa+qjBpGzyhhMGEPIb+h98CT8NQoxY08lXiTt51glHVPDupnnxtN0nMvn+lusMMoo7y+yT2/rP6PjKZlbRcSex6yVX5RQDTRA95IMJyjqbC6AZH/nar26Ar+iZSkBXTuGWUro3jXtE1lFCaqq/lSoOLJz+6xJB3dlQ6U+Uas6ihI24tfdyntZNBHQB3lZvNUWdvY2Wl6CHI85SnV77ehMgoVrZDdFRSIHR5l1Pa7NmGJ6HEmqf0sRJGr8e9eS9p8z3liz24aX1ym/TMTzc323YpXZKTiesVDOJAaJhilfe42naYXjZJ7ww1UXF7eln230F9KHNTZZv1INOX1g6VcQaXceWm0bXwGa+zcSRVJ/f618YVF9b+zZ9eWHte2IuZsuV+UOowte2chFIhyR8tlqqxn2za1ExovCszPQ7a466tnlPYi8r7vLE0PJpGrOR2MaiHfHUk4dOuhqcDf2aV6E0+7WnZFAKTf2Ty5a9kdXVlQBZxf+lLariRjEVrJYVsiQvHUkG1E2P3xgO7odgV/xRrZBKkLkLvNUseErnFhboa+kZmgQ42UUU7UKytfqtBIPEorec/AvC1llLU43lQwSvfd+fl52TgUWrI4N0NfzxdpbXaarthG5yuqfXrK2QK5iZhamLcXjLI2dXbQ2GKyNPT6I7PkKaOcvRKM6igYNdJ5sZ3NIlsNIbn77rvp2LFjdNNNN1E/4XLXrg5GwWNH6KYySia/m/WMQgU79ozqRBm1XvAmua3S9JqhdkKcKMWO7KPYgbmOX2cog4bZ/M5WRg1Bmh4MzEuVijIzHybsha07ZJ/Npm4BL+OOPi8xL/ChvU5QUVDoLRwoahgk4rZZLhu1stoo0qkwYcZ420pC0vSEfvrsPrJrlsrp7eW9F0sljWcUZxxE25mv7VBlVNQKRlWyecrkcmo8cXZPb/WhbUsD88gWKqNk5A/JXXfdRffffz/dc8891E84dcHd8BaUYkLcbc8oWaBv2jOKU/Q6UUY5ETV4YMK6GT+c6HiGRl7+XErcem3HrzG0Jub8804NZCNYWih4X7qS2XZL00PKS7HsBlYI2s7slGBUvTJq5ywYmoHgU0mPwaVotG/l1HcyPM426kq4bbpKGaXNzGNOW8ooOwC1KWXUNu+7ha0JtG63cTKW1hXM8qh+7AWjnHaqwdn35A5a03DADgG8wmmvSmJpfJQiSal22Unbieig6FYgI/+AU+HSx3ogjspNtjlkh7prQQ7eweHBkzD+t7mg5Ekrdl4364WG9ALxU7Ovk29A3qnKKKSTvulN3peVWrqdlFHwbYE6atgMzGuC10McoKlbwEt6uEJ5Eumd2SLKsQ9Z+x7UBTvW6g3HSt4pL5WVP2PSiXgBpbY8o7x5AP4sqKpZaIpFirz5zTT6h3+4Lftuob9wpbzt1o9EdJoeFarBKFb9hMLe1NlB8zyH1f+lajCK5kQV1bGB+Yh4RgkNgJldkNGd0BniGdUFeJAsFutS9NoNBvGu6WZS9IRg/EooqVS1PYEyCrg+L5ZhIGrf9+IZtSMXj0XHISTVFJUyanstIrcjSKFrqlay0vSumM3QnjFvgdJeNT2tvpLrKfQRbnfbbdOG52rRQtH4ArejZLfvyZ00z3OSvBYpUWTeMy+P7xO/qLaw244YmAuN8FcYirYj3RSa3njezzun4+4WZpB0iUrHT1N0NN1xymNVGSXBqG4jaXrDQdLy0eGd32HBLi9vexcMGxGkn6Gvq7hDrwJrh3g0SgVRRvWViVSMxngR1zRNr6zGZTM2czp+iHHe+FJJ5WdhCzZuYtts04aVUU6xRGUO+rYRVKop/LCDglExXT0xUq5QpJynciRCo3tEGbUdPaN2TqsdgtLXILGFjWUYqNnVw0Rpm+2gDARIh8uklal+4XNfr57DDgZB3sFqVUlP6ABfmt5O2jEbJmzT8qFTRlkpBZFhN6/G2KNTm8Uzik9JRKXngZITpbSMxz3n0pmM+mraTn1ekMDVBuZhKhBz0FyUUUI/2bbKKC0ycMplpY5Sj7WRbmdvBEd3kDeoUUZpljMZGpd5bnskYl4wNBKppotuAbI6GXSsqCWivvEmO1pCCOyOKu6Ix1AHIBUv/YJbqPjIk1R65ElyN3Le4x3kqvNklY1Shd4po3asZ9QwKaO22SS7LWXUkKtUVeU4HYzaSbvXzUB7zmvTcgSlxoZM+bedd8rdcm0wqh3PKFY8S9ql0E+2q4E5xeMqDR9HHc/l2x4j7ADxTqqanIg7lI1EyNGeyuuTE1t9SNtStZ1+8W2q8SkF9xaxc1rtdsUa+CFnT8qifVPU5FYP+eKnl0DOmbjuUopfc5TKZxao/MRZcg7t7XjyIMqoHlwje4cMarYhToMaZuzUvGFTRtUGo4a8fdaMPUP+WUOCdJqLCU/tvZZI0NyQBVu3JRz89iujjGdUG2l6cj2FPsLtbrtt2kSiEeUVhTS9qA6sdJqmt5OUUaoARjSqFGWgMDO51Ye0LYlsoSKKkdX4NkrTQzAqM2SLkb5TUwJVFgTdGERj+2fVV0eXQzyj+qKMkhS97QuqUcF0uFB2h84zKhZ3zI5wmPSf7QwCUKY4vYw9ZtF4fGoXHb1iHx0/n6crtnBnVqj3jKrBeEaFT9MTZZTQT7Zzu6sk4ioYZWgjGGVv6sR2kK8wsjRQjTVZLnvVWKfHt/qQhA6RYNSAY++gFp1YTcqGsLnzKbvTW49U0+tTmt4O2i2rAwvcY8eq329D0O8XyuWhU0bFYlG1sxmvVGpNWIcRGXsCTglyAyK0kRkhd6GwLReRQwcraH1pem1V0+uWgXk0Su7VV1NpZWXb9t3CFgSjtuM4iTnaetb82Kkyyu+jNOyUtefg+UyGMlJtftuys1rtNsSWREMZxdUihA6xJeZDvhO/Hdg1EqeDkynKJORadB0rALWjlVG451/xCtruJubRSJmGTBhFsWiUVmMxihcKW1rJpR/ULOIlRdxU0wPZUsU7LRKMGiBllHdN1PdIHWLPqBBjCfopXMpNp+npvjs3P0/jcs8ILUjHHNWHjG7H+aRVcMZFELeNgJozkqKcE9NWLjtr47Gk+6v5zChdtR2vu6DYwSuUbYIVMCnFYiplQ+iciFMtsS2eUVvPaDJGzzoqpVh7gTIjxMKhWNpRppbDCJRRSGmCLH2YwGe6Z/8lNFIs0rWZNO0YZZRshOhT4rXnrK7UJsGoASComl6lQpxjGkYZhX4K11I8o4R+gs36l9+wZ1uuk6KWqqfitFdcyYk79KFLr6BKJELfOmw7Vi14Yt8+Wr1wkU5OTNE3JSUYtV2RFcqAY8svYXAndLHE9rCnhQg7HqTqufAh2GG7ZcMGlFHDlqIHsFhdSaXV11OGXBVTq4ySscc2Gs4VtTJqhy2ktk2ang4W1vy+BeivJLgo9JvtGIgCTqqqDHbb3KxQRt76vtxp99zGxBg97iTV504O4RxppyBXbsCJWgGoiiwouwIrosQzStgpvlE7WhlVKBC9/vXeF77fhoynYpQZwl0/BKM4/jD0Kgqp5FoHB1izpbISLG/XheSwG5ib71GVNeR9igq5qc3aSiB99w1voNHf/d1t23cLQhhiVkUzt82UVDsGM2xFTlrBwTekZg6bcnwnsYNXKNuDqB0h30FVEvqyKBClmTDkRBLeBGdHB6OGgGv2jNIxd5SGdTJZLrtDv6Mryqh6YpYyativ/7ZO02O/qDYWyUi/l2sqCOGIpqvBqHbXJlwoINKNogHbDO5jhnGzbichK5RtpIyK7OSKWD0osS3KKGHYifBumw5KCdsTpRgZ0jkmKh/ly+UdoIyyxnJJ01PgmuOy54plCVwMmjLKStNrp5IekxZfNEEIf98lOw9GQRGkigYMoa9kWHXtqGy4bmskGDXgONYNFrVknMIm4EmSLAiEISd21SFl2B87snerD0UQmu5sDnswqmYhL6rc6qmIRihfdmlcKgUPBpzzU6OM0t/LnEkQemqpoL7vYHxQKe9DPoY2TdMTZdS2RjyjQnL33XfTsWPH6KabbqJ+4lidkmNVWxC64RklsVhhuHGmxyn59GspOpLa6kMRhObBqMhO8oySlILqafGmoTFU/xS2HNM2Ky65qKIHZZQ2MJcqkILQ+2CUnRETFgSiuCDEToI9sjIJGVO3MzL6h+Suu+6i+++/n+655x7qJ06y2inFrGoLQufELj1A0dkpcvbPymkUBEHYQlBBDXPoYd/VrQlAhaxIthPgBZRU0hsQ7HZarnTsGSUIQmdpetEOUs6wqcOB/Z1pYC5903ZGrt6AE0vG6XR6RNmFxGyDO6Hzc3pwTn0JgiAIW0s8Gh36QFTNIt9xQlck2wlwEErMrgcES6EGryikDHXiGSUIQhvgPmMT8g6KVUFZvDOVUV5/Jcqo7Y0EowYcSNc/c+io+v65YggpCILQ/uLq8sur3wsDhdrR3QGTaLOQl3G8LhgJdkIb2A4oA2S0VQSg2CtqqzyjolFyL7uMSisr0ncLQ3/fVRJxcgrFjpRR2NDZiX3o/okUua5LCfEc3NZIMGobdFCQXpYqLiXlZhMEQWgPpJZ83/fJWRtQMIEeer8ooNMwbG8QQZRRA4kvGOXqNL2+K6N0352bn6dxSREUhhxVpEoFo9ofI7A+TO3AjQ4ooq6cG93qwxA2iQSjtslkXQWjdmA+sCAIgjC8jCUdWisM/1QkOjVGiaddRdGp8a0+lIGCU0t2RKrmNgFBJ6QMuWWtiNIG5lIFUhB6R2xqjMor6xQZz7T9t08/NEnRnbCpIwwlwz8DHAJ4kiYyREEQBGGYOLZnjI7toR2hco5feWirD2PgYNNdrookDABssG+UUeIZJQi9Jvn0a8i99lKKTrav9EnvQFWUMDyI1GYbeWrsxHxgQRCETVEoEL3xjd4XvhcEYfCq6Ymf28AQ0ZYQ7lZ7RqG/ftObKPO2t0nfLQw9kViso0CUIGx3RBm1DUAQSvyiBEEQOqRYlFMnCAMIK6Jks22A4KDTVntG4T2LRYro9xcEQRCGD1FGbZM0PfGLEgRBEARhmOAglHhGDQ4RnaZnPKOMMkr2rwVBEITuIiPLNpmsiTGdIAiCIAjDRJw9o8SGYHCVUdrAPCK+NIIgCEKXkWDUNuCaPZJDLAiCIAjCcCHKqMGD0/HcUsV7gBVSW5CmJwiCIAw3EozaBsyNJrf6EARBEARBEHqijIpJNb3Bq6ang1Buces8owRBEIThRjyjBEEQBEEQhL4jBuaDhwk6+arpodqXIAiCIHQTGVkEQRCE4SUSITp8uPq9IAgDw3gqRgcnUzSRim/1oQiMSdPjanpblKYXiZB76BCVV1el7xYEQRhSJBglCIIgDC/xONGrXrXVRyEIQgAJJ0rPOjot52ZA0/Rc17WUUc6W9N3Z+Xkaw/eCIAjC0CFpeoIgCIIgCIIgUCQWrSqi2LwcSDU9QRAEoctIMEoQBEEQBEEQhGo6HoJRxXK9YkoQBEEQuoQEowRBEIThpVAg+p3f8b7wvSAIgtCQiA46uUjTs/yiIv323EN//Za3UObuu6XvFgRBGFLEM0oQBEEYbjY2tvoIBEEQtp8yaqv8ojSRjQ2KZLNb8t6CIAhC7xFllCAIgiAIgiAIJvDklirklkreGdmiYJQgCIIw3EgwShAEQRAEQRCEauDJStOLxCWRQhAEQeg+EowSBEEQBEEQBKHqGWUbmIsyShAEQegBO26ro1Kp0G233UbZbJbK5TJdddVV9O53v5vGx8e3+tAEQRAEQRAEYSA8o4wySoJRgiAIQg/YccqoaDRKH/nIR+jee++lr33ta3Tw4EF6y1vestWHJQiCIAiCIAgDZGAunlGCIAjCkAejHnnkEXrNa15DT3nKUygWi9G1114b+LwHH3yQnv/851Mmk6E9e/bQ6173Oip0UKqbVVBQSa2vr/e/XK0gCILQH9C/79vnfUlfLwiC0LzLtFRQbr6oH9uCRIpIhNy9e6m8e7f03YIgCEPKQKTp3XffffSBD3yAbrnlFhUgwpefxcVFes5znkOXX345/f3f/z2dOnWKfuEXfoE2Njboj//4j9t+z+c973lKHYXA11vf+tYufRJBEARhoIjHiX78x7f6KARBELYHTnWf2s3lvW+2Ik1P993Z+Xkaw/eCIAjC0DEQyqiXvOQldPLkSXrf+95HT33qUwOf8853vpNWVlboH/7hH+gFL3gBvfrVr6bf+Z3fUY+fPn3aPA9/PzMzU/f1whe+sOb1Pvaxj9G5c+foaU97Gr397W/v+WcUBEEQBEEQhEEmEo0SRb2MATfnZR9E4lsQjBIEQRCGnuig+Di14kMf+pBSM01PT5vHXvGKVygV1Uc/+lHz2Je+9CVaWFio+/rwhz9c95qO49CrXvUq+t//+3938dMIgiAIgiAIwjZFK6HcvLbCEANzQRAEYVjT9MIAvyiooWwmJydp79696ndhQWAKQC3luq5SYzXyqAL5fF59MVBngUbphIIQBrQdtD9pQ8JmkbbUgmKRiNWvP/mTXuqHIG1J6CnSL21zHASjSuRmvWCU6zj9n68Ui+T+8R9Ten2dKq99LVEy2d/3F4YK6ZMEaUv9o53xYtsEo+AZheCTn6mpKbp48WLo10Fq3g/+4A9SEYOc69I111xDf/iHf9jw+W9+85vpDW94Q93j58+f78g8XRD4Jl1eXlZtMIwyUBAaIW2pBYUCjZ46pb5dO3eOKJGQxiRtSegx0i9tbzLkqtSJcjan/l/LblBxfr6/B1EoUOb0aSrkcrR+7hxFU6n+vr8wVEifJEhb6h+rq6vDF4zqFgg+ffGLXwz9/F/+5V9WRum2MurgwYM0OzsbGBwThLCDIqo4oh1JMErYDNKWWlAoUCSTUd+OzM1JMEraktAHpF/a3uSSjypVVLRYVj+PTU1SDP1nP8GGr+67p+bmJBglbArpk4RuIW2pNak2Ng+2TTAKCigoSYIUU7aPVLdJJpPqyw8CCBJEEDYDglHSjoRuIG2pCVAeRiKWMa8oEaUtCf1A+qXtSyQWI9f6ORqP93/OG42SG4lIOxK6hvRJgrSl/tDOeLFtZuVXXXVVnTcUglNnzpxRvxMEQRAEQRAEYZP4DMulmp4gCILQC7ZNMOpFL3oRfexjH6OlpSXz2Hvf+14Vebvzzju39NgEQRAEQRAEYRiIxHzLA6mmJwiCIPSAgUjT29jYoA9+8IPq+xMnTihfJlS5A7fffrvy1XnNa15Df/RHf0QvfelL6Vd+5Vfo1KlT9NrXvlY9vm/fvp4f4913362+ymUvf14QBEEQBEEQhrOaXm3aniAIgiB0m4EYXebn5+nlL395zWP88yc/+Um64447lGfUxz/+cfrpn/5pFZAaGxujH/3RH6U3vvGNfTnGu+66S30hUDYxMdGX9xQEQRA2CfyiZmer3wuCIAjNu02/EmorlFGRCLmzs1SBEa703YIgCEPJQASjDh8+rErct+Lqq69WqXqCIAiCEIp4HLsJcrIEQRA69YzaimAU+u6f/EnamJ+nUXwvCIIgDB3bxjNKEARBEARBEITeEvGl6VF8C4JRgiAIwtAjwShBEARBEARBEDxsJRRS5Noo0y0IgiAIYZHRJSQwLz927BjddNNNoU+uIAiCsMUUi+jAvS98LwiCIDSlJi0v5lBkKzyb0F+//e008ud/Ln23IAjCkCLBqJDAvPz++++ne+65p7dXRBAEQege8CM8f977CuFNKAiCsOOx0vS2xC8KuC5Fzp+n6IUL0ncLgiAMKRKMEgRBEARBEATBw6eMEgRBEIReIMEoQRAEQRAEQRAUkVh1eRCJD0ThbUEQBGEIkWCUIAiCIAiCIAgedjU9f2U9QRAEQegSEowSBEEQBEEQBKHOJyoSl2CUIAiC0BskGBUSqaYnCIIgCIIgDD3iGSUIgiD0AQlGhUSq6QmCIGxDUJJ8ctL72ory5IIgCNtZGRXbIs+oSITcyUmqjI9L3y0IgjCkiCuhIAiCMLzE40Q/93NbfRSCIAjbB9snaqvS9NB3/+zP0sb8PI3ie0EQBGHoEGWUIAiCIAiCIAj1yigxMBcEQRB6hASjBEEQBEEQBEGo94wSA3NBEAShR0gwShAEQRheikWiP/kT7wvfC4IgCM1xolvvGaX77vRf/qX03YIgCEOKeEYJgiAIw4vrEp0+Xf1eEARBaEoExR6Qnlcu16qk+onrUuTMGXLW16XvFgRBGFJEGRWSu+++m44dO0Y33XRTb6+IIAiCIAiCIGwlsWidf5QgCIIgdBMJRoXkrrvuovvvv5/uueeerl4AQRAEQRAEQRgkjHG5BKMEQRCEHiHBKEEQBEEQBEEQDJFUouZ/QRAEQeg24hklCIIgCIIgCIIhccs1VLmwTNFdE3JWBEEQhJ4gwShBEARBEARBEAzO9Lj6EgRBEIReIcEoQRAEYbgZGdnqIxAEQRDaxB0ZIbdSkfMmCIIwpEgwShAEQRheEgmi171uq49CEARBaLfvfu1raX1+njL4XhAEQRg6xMA8JHfffTcdO3aMbrrppt5eEUEQBEEQBEEQBEEQhCFGglEhueuuu+j++++ne+65p7dXRBAEQRAEQRAEQRAEYYiRYJQgCIIwvBSLRH/xF94XvhcEQRC2Td+d/ru/k75bEARhSBHPKEEQBGF4cV2ixx+vfi8IgiAMPq5LkRMnyFlfl75bEARhSBFllCAIgiAIgiAIgiAIgtA3JBglCIIgCIIgCIIgCIIg9A0JRgmCIAiCIAiCIAiCIAh9Q4JRgiAIgiAIgiAIgiAIQt+QYJQgCIIgCIIgCIIgCILQN6SaniAIgjDcxONbfQSCIAhCm7jxOLkxWaoIgiAMK9LDh+Tuu+9WX+VyubdXRBAEQegeiQTRr/6qnFFBEITt1nf/yq/Q+vw8ZfC9IAiCMHRIml5I7rrrLrr//vvpnnvu6e0VEQRBEARBEARBEARBGGIkGCUIgiAIgiAIgiAIgiD0DQlGCYIgCMNLqUT013/tfeF7QRAEYdv03an/9/+k7xYEQRhSxDNKEARBGF4qFaKHH65+LwiCIAw+lQpFHnmEYuvr0ncLgiAMKaKMEgRBEARBEARBEARBEPqGBKMEQRAEQRAEQRAEQRCEviHBKEEQBEEQBEEQBEEQBKFvSDBKEARBEARBEARBEARB6BsSjBIEQRAEQRAEQRAEQRD6hlTTaxPXddX/KysrFI1KLE/ojEqlQqurq5RKpaQdCZtC2lILCgWifN77fmWFKJGQFidtSegx0i8Jm6ZQIDefp/V8nkqYc6MvFwTpk4QtRsa31iBOYsdNmhFxwzxLMBw/fpwuvfRSOSOCIAiCIAiCIAiCIAg+Tp48SQcOHKBmiDKqTaanp9X/TzzxBE1MTLT754JgIsYHDx5UN+n4+LicFaFjpC0J3ULakiBtSRgkpE8SpC0Jg4b0S62B1gkZQPv27Wv5XAlGtQmn5iEQJUEEYbOgDUk7ErqBtCWhW0hbEqQtCYOE9EmCtCVh0JB+qTlhRTtieiQIgiAIgiAIgiAIgiD0DQlGCYIgCIIgCIIgCIIgCH1DglFtkkwm6Td+4zfU/4LQKdKOhG4hbUmQtiQMGtIvCdKOhEFC+iRB2tJgItX0BEEQBEEQBEEQBEEQhL4hyihBEARBEARBEARBEAShb0gwShAEQRAEQRAEQRAEQegbEowKyYMPPkjPf/7zKZPJ0J49e+h1r3sdFQqF3l4dYVvz3ve+l77927+dDhw4oNrNU57yFHrPe95DruvWPO/d7343XXHFFZRKpeiGG26gf/mXf9myYxYGn7W1NdWmIpEIfeELX6j5nbQlIQz/63/9L7rxxhtVnzMzM0MvetGLKJvNmt//8z//s+qL8Hv0TX/+538uJ1ao45/+6Z/olltuobGxMdq7dy+94hWvoOPHj9c9T/olgXnkkUfoNa95jZoPxWIxuvbaawNPTpg2s7y8TD/yIz9C09PTqg1+13d9F505c0ZO9g6hVVtaWVmh17/+9XTzzTfT5OQk7d69m17ykpfQ1772tbrXkra0swnbLzH/+I//qObgQc+TttQ+EowKweLiIj3nOc9Rwae///u/pze96U30J3/yJ/QLv/ALHZxyYafwe7/3ezQyMkJvfetb1eIOC74f+7Efo9/8zd80z/nbv/1b9dh3f/d304c+9CG69dZb6WUvexl97nOf29JjFwaX3/qt36JSqVT3uLQlIQxvfOMb6ad/+qdVn/ORj3yE3vWud9GRI0eoXC6r33/mM59RfRD6IvRJeB4WfO973/vkBAuGT33qU6qdHDt2jP7hH/6B3va2t9FXvvIVuvPOO2sCm9IvCTb33XcffeADH6DLLrtMtZ0gwrYZ/P6jH/0ovfOd76S//uu/pm984xtqnhU0Pgo7ry098cQTanxDn/R//+//pT/90z9VgYKnP/3p9MADD9Q8V9rSziZMv8RgfPv5n/95FdwMQtpSB7hCS970pje5mUzGvXDhgnnsXe96l+s4jnvq1Ck5g0Ig58+fr3vsx37sx9zx8XG3XC6rn6+44gr3la98Zc1zbr31VvdFL3qRnFWhjgceeED1Re985zshr3Pvuece8ztpS0IrHnzwQTcWi7kf/OAHGz7nzjvvdJ/xjGfUPIY+6uqrr5YTLBh+4id+wj1y5IhbqVTMY5/4xCdUv/TpT39a+iUhEJ77gB/6oR9yr7nmmrrnhBnLPvvZz6q29pGPfKSmf4tEIu7f/d3fydnfAbRqS2tra+76+nrNY6urq+709LT7Uz/1U+YxaUtCmH6J+fVf/3X3Wc96VuDzpC11hiijQoCdmec973lKCsxAjl6pVNSujCAEgfQXP0iNgXR4fX1dpTM89NBDqi3ZfM/3fA99/OMfp3w+LydWqAGKFkiJr7zyyprHpS0JYUC6HVRQUA8EgT7nk5/8JL385S+v65Owk/z444/LiRYUxWJRpUYhVYGZmJhQ/3MquvRLgp9otPmyI2ybwbwcqVewz2AwLiLN5oMf/KCc+B1Aq7YEewxkJ9iMjo4q9cvp06fNY9KWhFZtiXn00UdVtssf/uEfBv5e2lJnSDAqpF/UVVddVfMYBkF4JOB3ghAWpMDs379fTeK57fjb1tVXX61SQh977DE5sYIBaVLwOvj//r//L7CPkrYktAJpLtdddx39z//5P2lubo4SiQTddttt9PnPf95MtBBkCOqT7HYmCK961avo/vvvp7e//e0q9QVBhF/5lV9RGy5oU9IvCZ0QdizD8xB8soOh/Dzpp4RGLC0t0de//nUzpklbEtrhZ3/2Z+kHf/AHlY9do/5L+qX2iXXwNzvSMwrBJz9TU1N08eLFLTkmYXsGouCFgKg6tyvgb1toV0DalsBsbGwojzr41Y2Pj9edGGlLQhjOnj1LX/ziF1VQE0EE7BqjTcFT4+GHH5Z2JITmmc98pvKK+t7v/V6666671GNQpXz4wx8mx3GkXxI6IuxYJvNyoRNQfAoBTCjM7TYnazyhFfD+/exnP6uUm836L2lL7SPKKEHoA08++aQytXv2s59NP/MzPyPnXGgLKFlglvjDP/zDcuaEjkFqOaoxQmWHylPf8i3foiqiIa3qj//4j+XMCqHBpPwHfuAHlNH0Jz7xCVU9Fu3rxS9+cY2BuSAIwqCkqcPE/O6771YViQUhLLlcjn7u536O3vCGNwRasAibQ4JRIcCODGToQRFQ20dKEBrJguHRsmvXLvp//+//mdxk3unzty3eGZS2JYATJ04oNR0GQbQVtCcEFAD+x5e0JSHsWIZ+6PrrrzePoZ9BahWqyUg7EsKCTRVUGUbfhE0WBDdRjehLX/oS/eVf/qWMcUJHhO2DZF4utAO8fH78x3+cfv3Xf51+6Id+qK7NyRpPaAaqxWLt9spXvlLNwfGFtGFswPD30pY6R4JRIUDuuj8HHR3XmTNn6vLaBcEGO8Tf+q3fqtoLBkM2eOV2BfxtCz/Dy+Xo0aNyMgXlkYGBDooDTJrw9ZKXvESdGSwCUVxB2pIQhmuuuabpzt+ll15K8Xg8sE+y+yxBgF8U0vJsoDbArjG8x2SMEzoh7FiG533jG98wZvn286SfEvxeiQiWIwj1m7/5m4FtTtqS0Az0K4888gjNzs6aefj/+T//RxV2wffvec97pC1tAglGhQCqlo997GMq+slAko4oKbw2BCGIUqmkKsKgs4KPBozLbTCpuuKKK1Rbsvm7v/s7eu5zn6smXoKABR8qnNlfv//7v69OzDvf+U7l/SNtSQgDAuMXLlyge++91zyGn6Fm+aZv+iZKJpMqwIk0Pn+fBMPXw4cPy4kWFIcOHVLtxq/iXFhYMO1E+iWhXcK2GczLoZZChT0GXi5f/vKXVfqxIHDQHBt5UHFivhSEtCWhFb/0S79UNw9/wQteoMY6fP9t3/Zt0pY2gRiYhwBGd3/0R39EL33pS1W1mFOnTtFrX/ta9fi+ffs2c/6FIeYnf/In6V/+5V9UGsPKyoranWGQFoOF3+tf/3r6vu/7PqVIwCIQEy5Utvr0pz+9pccuDA4wQ7zjjjsCf4cAwlOf+lT1vbQloRUYw2666Sa1S/zGN76R0uk0vfnNb1Z9EforgDQGtDf8jGA6Jlp/8zd/o/omQWAw/4GHBqoLQamJoCZXaUS7YaRfEvzFOD74wQ+a4CXmRhz8vv3225XyIEybufXWW9Vi8NWvfrWaY6VSKfrVX/1VlYL8Hd/xHXLSdwCt2hJUc2gjGOd+/ud/nr7whS+Yv0UhmGPHjqnvpS0JrdoS1HN+xeVf/MVfKD9ge34ubalDXCEU999/v/vc5z7XTafT7tzcnPuLv/iLbj6fl7MnNOTQoUPQjwd+PfbYY+Z5f/Znf+ZedtllbiKRcK+77jr3n//5n+WsCk355Cc/qdrRPffcU/O4tCWhFefPn3e///u/352YmFDj2Z133uned999Nc95//vfr/oi9Enom9797nfLiRVqqFQq7jve8Q73+uuvdzOZjLtnzx73ZS97mfvAAw/UnSnplwQGc59G8yKMa+20maWlJffVr361Ozk56Y6Ojrrf8R3f4Z46dUpO9g6hVVvieVLQ1+23317zWtKWdjZh+yWbH/qhH3KvueaauselLbVPBP90GsgSBEEQBEEQBEEQBEEQhHYQzyhBEARBEARBEARBEAShb0gwShAEQRAEQRAEQRAEQegbEowSBEEQBEEQBEEQBEEQ+oYEowRBEARBEARBEARBEIS+IcEoQRAEQRAEQRAEQRAEoW9IMEoQBEEQBEEQBEEQBEHoGxKMEgRBEARBEARBEARBEPqGBKMEQRAEQRAEQRAEQRCEviHBKEEQBEEQhpbXv/71FIlE6r6uvfbarT60bc3NN99Md999t/n5Va96VcNz2ux3QfzHf/wHzczM0MrKSleOVRAEQRCEwSO21QcgCIIgCILQS9LpNH3iE5+oeWxkZEROeof8wz/8Az3++OP06le/uifn8LbbbqNrrrmG3vrWt9Ib3vCGnryHIAiCIAhbiwSjBEEQBEEYaqLRKD396U8P9dxsNquCV0Jj3va2t9ErX/nKnp6nH/mRH6Ff/MVfpF/7tV+jeDwul0MQBEEQhgxJ0xMEQRAEYceClL3f/u3fpv/xP/4H7dmzh+bm5tTjruvS7/7u79IVV1xByWSSjh49Sr//+79f9/fvf//76aqrrqJUKqVS1+655x6anJxU6YHM4cOH6ad+6qdq/u4f//Ef1XtDYcTk83n6lV/5FTp06JB6z6uvvpr+5m/+JjDl7VOf+hTdeOONlMlk1Pt+8YtfrHlepVKh3/u931OvgdfCZ3v5y19Oy8vL9LWvfU2997/+67/W/E25XKb9+/fT6173uobn67HHHqN///d/p+/6ru+iTrnjjjsCUyfxOPPSl76UlpaW6IMf/GDH7yMIgiAIwuAiyihBEARBEIaeUqlU87PjOCoAAv7gD/5AKafe/e53m+f97M/+LP3Zn/0Z/eqv/irdcsst9NnPflYFrKAGes1rXqOec++999J3fud30ote9CIV+EGg5hWveIUKKnUC/vYzn/kM/cZv/IYKIiEQ8/3f//00NTWl3oM5e/Ys/czP/Az90i/9Ek1MTNAv//Iv08te9jJ69NFHjYrop3/6p+ld73oX/fzP/zw9//nPp9XVVfrABz5Aa2trdN1116nP9J73vEf9jvnwhz9Mp0+fbpp+9/GPf5xisZgKgIU5zxzYs3n7299e4wd16tQp+r7v+z668sorzWPj4+MqVQ8Bs2//9m8PfQ4FQRAEQdgeSDBKEARBEIShZn19vS7V6y//8i9VoAdMT0/T3//935vgFII6f/zHf0zvfOc76cd//MfVY8973vNoY2NDeRjhMaT+QVF1ySWXKJUTglsAwSqkmLXLJz/5Sfqnf/on+shHPkJ33nmnegyBojNnzqjglB2MunjxIv3bv/2bCtYAqKOe/exn0+c//3n65m/+ZnrooYfoHe94B73xjW9UgSoGgTPmx37sx5Raa3FxUQW7AIJTz3jGM5TSqxFQfrFazM99993XMKWOjxUcO3bMfJ/L5VTgDO/pV57dcMMN6jMJgiAIgjB8SJqeIAiCIAhDDQJECKLYX9/yLd9ifo9ADweiwMc+9jETvIHSh78QkIIq6eTJk+r3CJS85CUvMYEo0Gn62kc/+lEVFHvOc55T854ISH35y19WKXTMvn37AoM7Tz75pPofZu1QIzULin3P93yPChxxGuDCwgL98z//c8tAGoJjs7Ozgb+79NJL684zvr71W7+14ev96I/+qFKUIaDnN5VHRT28nyAIgiAIw4coowRBEARBGGqgYnra057W8Pe7d++u+RmBGQRzEAwJAsEo+DohUMIeU3Z6Gfyj2gXvCcVTI2UR3uvAgQPqe3hS2SQSCaMyAhcuXFCpdP5js4GaCibkSE2866676K/+6q+U2gmpgs3AewSpogA+d9B53rVrlwo4+fmd3/kd+tu//VulBoOvlh+8DwzlBUEQBEEYPiQYJQiCIAjCjsZWRQEolPAY/Js40GPD3kZ79+6l+fn5mt/BC4mDQnaQplAo1DyG9Dj/e0Jx1Miwu1lgKSj4A1UVjq3Z3yFV70/+5E/oK1/5Cv35n/+5CkSNjo42fW0cp2263ikf+tCHVAohTOKf+9znBj4HBub4LIIgCIIgDB8SjBIEQRAEQbDg4AgURkjDawRMvJHaBvNyTtV73/veV/c8KJoeeOCBurQ8G6QAQimE4Nf111+/qeuBVD8E0xBggul6I6BiespTnqLM0L/61a8qY/FWIBAHf6vN8I1vfEOpsmBaDoP1RiDoZZuaC4IgCIIwPEgwShAEQRAEwQIG3Uhd+4Ef+AF67WtfqyrPFYtFZQyOQAz8jQCq2d1000300pe+lH7yJ3+Sjh8/rpQ+/jQ9+Ej9t//235T5OQzCoX76z//8z5rnwBsKga8XvvCF9LrXvU4FpGC8DlPwRx55RFX2a+f4UfHv137t11TqH4JrMF9HNb3Xv/71tH///hp1FD4rgj633XZby9fGc37zN39T+VNx2mC7fNu3fZvy8ULVvs997nM1KY62ufkXvvAF+u///b939B6CIAiCIAw2EowSBEEQBEHw8Yd/+IcqQPOud71LBV+QvoafX/7yl5vn3HjjjfTe975XBaVe9rKX0bXXXqs8kF7wghfUmXSjQh8q3KFiHMzD3/zmN9P3fu/31jwPqipU6INC6cSJEzQxMaFe84d/+Ifbvj6oBnjkyBH60z/9U/WeSHe7/fbbaWxsrOZ5OG4EoxAYCsMdd9yhXgtpdghkdQKCegAVAG1wfJ/61KfU91/60pfo/PnzNRUABUEQBEEYHiIuHDoFQRAEQRCErgCD8Z/7uZ9TKqRB5z3veQ/9xE/8hDJl37NnT6i/gVoJFf5Qta9XQJH2xS9+safvIQiCIAjC1iHKKEEQBEEQhB0G/Jgefvhh+q3f+i367u/+7tCBKPCLv/iLdNlllynj8xtuuKHrxwYTeKQlvv/97+/6awuCIAiCMBhEt/oABEEQBEEQhP4C1daLX/xiOnToEL31rW9t629RRfAv/uIvVBpdL3jiiSdUkOxZz3pWT15fEARBEIStR9L0BEEQBEEQBEEQBEEQhL4hyihBEARBEARBEARBEAShb0gwShAEQRAEQRAEQRAEQegbEowSBEEQBEEQBEEQBEEQ+oYEowRBEARBEARBEARBEIS+IcEoQRAEQRAEQRAEQRAEoW9IMEoQBEEQBEEQBEEQBEHoGxKMEgRBEARBEARBEARBEPqGBKMEQRAEQRAEQRAEQRCEviHBKEEQBEEQBEEQBEEQBIH6xf8POq8FskVZ3A8AAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Notch filter removed 50 Hz and 100 Hz interference.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 5: Notch Filtering Demo\n", + "# =============================================================================\n", + "\n", + "# Create EEG with powerline noise\n", + "fs = 500\n", + "duration = 2\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "np.random.seed(42)\n", + "eeg_clean = (\n", + " 1.0 * np.sin(2 * np.pi * 10 * t) + # Alpha\n", + " 0.5 * np.sin(2 * np.pi * 20 * t) + # Beta\n", + " 0.2 * np.random.randn(len(t))\n", + ")\n", + "\n", + "# Add 50 Hz + 100 Hz interference\n", + "powerline = 2.0 * np.sin(2 * np.pi * 50 * t) + 0.5 * np.sin(2 * np.pi * 100 * t)\n", + "eeg_noisy = eeg_clean + powerline\n", + "\n", + "# Apply notch filter\n", + "eeg_notched = notch_filter_harmonics(eeg_noisy, base_freq=50, fs=fs, n_harmonics=2)\n", + "\n", + "# Plot spectra\n", + "n = len(t)\n", + "freqs = fftfreq(n, 1/fs)[:n//2]\n", + "spectrum_noisy = np.abs(fft(eeg_noisy))[:n//2] * 2 / n\n", + "spectrum_notched = np.abs(fft(eeg_notched))[:n//2] * 2 / n\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "\n", + "ax.semilogy(freqs, spectrum_noisy, color=COLORS[\"signal_1\"], linewidth=1, alpha=0.7, label=\"Before notch\")\n", + "ax.semilogy(freqs, spectrum_notched, color=COLORS[\"signal_2\"], linewidth=1.5, label=\"After notch\")\n", + "\n", + "ax.axvline(50, color=\"red\", linestyle=\"--\", alpha=0.5)\n", + "ax.axvline(100, color=\"red\", linestyle=\"--\", alpha=0.5)\n", + "\n", + "ax.set_xlabel(\"Frequency (Hz)\")\n", + "ax.set_ylabel(\"Amplitude (log)\")\n", + "ax.set_title(\"Spectrum Before and After Notch Filtering\")\n", + "ax.set_xlim(0, 150)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Notch filter removed 50 Hz and 100 Hz interference.\")" + ] + }, + { + "cell_type": "markdown", + "id": "8d9ca150", + "metadata": {}, + "source": [ + "## Section 6: Complete EEG Pipeline\n", + "\n", + "A typical pipeline: Notch (50/60 Hz) \u2192 Bandpass (0.5-40 Hz)" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "6e9668ea", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Pipeline: Notch at 50 Hz \u2192 Bandpass 0.5-40 Hz\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 6: Complete Pipeline\n", + "# =============================================================================\n", + "\n", + "# Create noisy EEG\n", + "fs = 500\n", + "duration = 5\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "np.random.seed(42)\n", + "neural = 1.0 * np.sin(2 * np.pi * 10 * t) + 0.5 * np.sin(2 * np.pi * 5 * t)\n", + "slow_drift = 2.0 * np.sin(2 * np.pi * 0.1 * t)\n", + "powerline = 1.5 * np.sin(2 * np.pi * 50 * t)\n", + "high_freq = 0.5 * np.sin(2 * np.pi * 80 * t)\n", + "noise = 0.3 * np.random.randn(len(t))\n", + "\n", + "raw_eeg = neural + slow_drift + powerline + high_freq + noise\n", + "\n", + "# Pipeline: Notch \u2192 Bandpass\n", + "step1 = notch_filter_harmonics(raw_eeg, base_freq=50, fs=fs, n_harmonics=2)\n", + "b, a = design_iir_filter(cutoff=(0.5, 40), fs=fs, order=4, btype=\"band\")\n", + "clean_eeg = filtfilt(b, a, step1)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6), sharex=True)\n", + "\n", + "axes[0].plot(t, raw_eeg, color=COLORS[\"signal_1\"], linewidth=0.5)\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Raw EEG\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "axes[1].plot(t, clean_eeg, color=COLORS[\"signal_2\"], linewidth=0.8)\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Preprocessed EEG (50 Hz notch + 0.5-40 Hz bandpass)\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Pipeline: Notch at 50 Hz \u2192 Bandpass 0.5-40 Hz\")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "0b585f7f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Input shape: (4, 1250) \u2192 Output shape: (4, 1250)\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 6: MNE-Style Filtering\n", + "# =============================================================================\n", + "\n", + "# Multi-channel data (4 simulated EEG channels)\n", + "fs = 250\n", + "duration = 5\n", + "n_channels = 4\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "np.random.seed(42)\n", + "data = np.zeros((n_channels, len(t)))\n", + "for i in range(n_channels):\n", + " data[i] = (\n", + " 1.0 * np.sin(2 * np.pi * 10 * t + i * np.pi/4) +\n", + " 0.5 * np.sin(2 * np.pi * 5 * t) +\n", + " 0.3 * np.random.randn(len(t))\n", + " )\n", + "\n", + "# Filter all channels at once\n", + "data_filtered = mne_filter_data(data, fs, l_freq=1, h_freq=40)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(12, 4))\n", + "ax.plot(t, data[0], color=COLORS[\"signal_1\"], linewidth=0.5, alpha=0.5, label=\"Original\")\n", + "ax.plot(t, data_filtered[0], color=COLORS[\"signal_2\"], linewidth=1, label=\"Filtered (1-40 Hz)\")\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Amplitude\")\n", + "ax.set_title(\"MNE-Style Filtering (Channel 1)\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Input shape: {data.shape} \u2192 Output shape: {data_filtered.shape}\")" + ] + }, + { + "cell_type": "markdown", + "id": "9d191e55", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 7. Exercises\n", + "\n", + "### \ud83c\udfaf Exercise 1: US Powerline Removal\n", + "\n", + "**Task:** Apply a notch filter at 60 Hz (and harmonics) to remove US powerline noise.\n", + "\n", + "- Create a signal with 60 Hz interference\n", + "- Apply `notch_filter_harmonics()` with `base_freq=60`\n", + "- Compare before/after in time and frequency domains\n", + "\n", + "```python\n", + "# Your code here\n", + "fs = 500\n", + "duration = 2\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create signal with 60 Hz noise\n", + "signal_clean = np.sin(2 * np.pi * 10 * t) # 10 Hz alpha\n", + "signal_with_60hz = signal_clean + 0.5 * np.sin(2 * np.pi * 60 * t)\n", + "\n", + "# Remove 60 Hz\n", + "# signal_filtered = notch_filter_harmonics(signal_with_60hz, base_freq=60, fs=fs)\n", + "```\n", + "\n", + "
\n", + "\ud83d\udca1 Click to reveal solution\n", + "\n", + "```python\n", + "fs = 500\n", + "duration = 2\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create signal with 60 Hz noise\n", + "signal_clean = np.sin(2 * np.pi * 10 * t)\n", + "signal_with_60hz = signal_clean + 0.5 * np.sin(2 * np.pi * 60 * t)\n", + "\n", + "# Remove 60 Hz and harmonics\n", + "signal_filtered = notch_filter_harmonics(signal_with_60hz, base_freq=60, fs=fs, n_harmonics=2)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 5), sharex=True)\n", + "axes[0].plot(t[:500], signal_with_60hz[:500], color=COLORS[\"signal_1\"])\n", + "axes[0].set_title(\"With 60 Hz noise\")\n", + "axes[1].plot(t[:500], signal_filtered[:500], color=COLORS[\"signal_2\"])\n", + "axes[1].set_title(\"After notch filter\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "id": "bf1615cc", + "metadata": {}, + "source": [ + "### \ud83c\udfaf Exercise 2: Theta Band Extraction\n", + "\n", + "**Task:** Extract the theta band (4-8 Hz) from a noisy signal.\n", + "\n", + "- Design a bandpass filter for theta (4-8 Hz)\n", + "- Apply to a signal with multiple frequency components\n", + "- Verify theta is isolated\n", + "\n", + "```python\n", + "# Your code here\n", + "# b, a = design_iir_filter(cutoff=(4, 8), fs=..., order=4, btype=\"band\")\n", + "# theta = apply_filter(signal, b, a)\n", + "```\n", + "\n", + "
\n", + "\ud83d\udca1 Click to reveal solution\n", + "\n", + "```python\n", + "fs = 250\n", + "duration = 3\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Multi-component signal\n", + "np.random.seed(42)\n", + "signal = (\n", + " np.sin(2 * np.pi * 6 * t) + # Theta (6 Hz)\n", + " np.sin(2 * np.pi * 10 * t) + # Alpha (10 Hz)\n", + " 0.3 * np.random.randn(len(t)) # Noise\n", + ")\n", + "\n", + "# Extract theta\n", + "b, a = design_iir_filter(cutoff=(4, 8), fs=fs, order=4, btype=\"band\")\n", + "theta = apply_filter(signal, b, a)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 5), sharex=True)\n", + "axes[0].plot(t, signal, color=COLORS[\"signal_1\"], linewidth=0.5)\n", + "axes[0].set_title(\"Original (theta + alpha + noise)\")\n", + "axes[1].plot(t, theta, color=COLORS[\"signal_2\"])\n", + "axes[1].set_title(\"Extracted Theta (4-8 Hz)\")\n", + "axes[1].set_xlabel(\"Time (s)\")\n", + "plt.tight_layout()\n", + "plt.show()\n", + "```\n", + "\n", + "
\n" + ] + }, + { + "cell_type": "markdown", + "id": "2d1fc9ed", + "metadata": {}, + "source": [ + "## Summary\n", + "\n", + "Key takeaways:\n", + "\n", + "- **Zero-phase filtering** (`filtfilt`) preserves timing \u2014 essential for connectivity\n", + "- **Edge effects** increase with filter order; plan for transients at boundaries\n", + "- **Notch filters** remove powerline noise (50/60 Hz and harmonics)\n", + "- **Standard pipeline**: Notch \u2192 Bandpass (0.5-40 Hz)\n", + "\n", + "### Functions from `src/filtering.py`\n", + "\n", + "| Function | Purpose |\n", + "|----------|----------|\n", + "| `apply_filter()` | Apply filter with optional zero-phase |\n", + "| `notch_filter()` | Remove single frequency |\n", + "| `notch_filter_harmonics()` | Remove frequency and harmonics |\n", + "| `mne_filter_data()` | MNE-style multi-channel filtering |\n", + "\n", + "### For Hyperscanning\n", + "\n", + "- Always use zero-phase filtering\n", + "- Apply identical parameters to both participants\n", + "- Handle edge effects when epoching" + ] + }, + { + "cell_type": "markdown", + "id": "1212485e", + "metadata": {}, + "source": [ + "## External Resources\n", + "\n", + "### \ud83c\udfa7 NotebookLM Resources\n", + "\n", + "- [\ud83d\udcfa Video Overview](https://notebooklm.google.com/notebook/5d899740-f497-4339-ac73-909dbf71c3af?artifactId=0af231ba-8877-4cad-b821-f4f25085f345) - Video overview of applied filtering concepts\n", + "- [\ud83d\udcdd Quiz](https://notebooklm.google.com/notebook/5d899740-f497-4339-ac73-909dbf71c3af?artifactId=bdc62b32-eb64-4961-b1c5-89c1743e3f3b) - Test your understanding\n", + "- [\ud83d\uddc2\ufe0f Flashcards](https://notebooklm.google.com/notebook/5d899740-f497-4339-ac73-909dbf71c3af?artifactId=1ebd1709-713c-49c3-8feb-e077e09c0c57) - Review key concepts\n", + "\n", + "### Documentation\n", + "- [SciPy filtfilt](https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.filtfilt.html) - Zero-phase filtering\n", + "- [MNE-Python filter tutorial](https://mne.tools/stable/auto_tutorials/preprocessing/25_background_filtering.html) - Comprehensive guide\n", + "\n", + "### Scientific Papers\n", + "- [Widmann et al. (2015)](https://doi.org/10.1016/j.jneumeth.2014.08.002) - Digital filter design for EEG\n", + "- [de Cheveign\u00e9 & Nelken (2019)](https://doi.org/10.1016/j.neuron.2019.02.039) - When, Why, and How to Filter\n" + ] + }, + { + "cell_type": "markdown", + "id": "00587359", + "metadata": {}, + "source": [ + "## Discussion Questions\n", + "\n", + "1. **Real-time filtering**: In real-time hyperscanning, you can't use `filtfilt()`. What alternatives exist?\n", + "\n", + "2. **Edge effects**: How would you handle filter transients when epoching around events?\n", + "\n", + "3. **Parameter matching**: If two participants have different noise levels, should you use different filter settings?\n", + "\n", + "4. **Notch vs lowpass**: Why use a notch at 50 Hz instead of just lowpass at 49 Hz?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B01_hilbert_transform.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B01_hilbert_transform.ipynb new file mode 100644 index 0000000..6f8d1db --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B01_hilbert_transform.ipynb @@ -0,0 +1,2488 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "8f2ce2ca", + "metadata": {}, + "source": [ + "# B01: The Hilbert Transform\n", + "\n", + "**Duration**: ~60 minutes\n", + "\n", + "**Prerequisites**: \n", + "- [A04a: Filter Fundamentals](../A_signal_fundamentals/A04a_filter_fundamentals.ipynb)\n", + "- [A04b: Applied Filtering](../A_signal_fundamentals/A04b_applied_filtering.ipynb)\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "1. **Explain** the concept of the analytic signal and its components\n", + "2. **Understand** what the Hilbert transform computes (90° phase shift)\n", + "3. **Extract** instantaneous amplitude (envelope) from a filtered signal\n", + "4. **Extract** instantaneous phase from a filtered signal\n", + "5. **Recognize** when the Hilbert transform is valid (narrowband requirement)\n", + "6. **Apply** the complete workflow: filter → Hilbert → extract\n" + ] + }, + { + "cell_type": "markdown", + "id": "8a8a077a", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#1-introduction)\n", + "2. [The Problem — What is Phase?](#2-the-problem--what-is-phase-of-a-complex-signal)\n", + "3. [The Analytic Signal Concept](#3-the-analytic-signal-concept)\n", + "4. [The Hilbert Transform — Mathematical Definition](#4-the-hilbert-transform--mathematical-definition)\n", + "5. [Extracting the Envelope (Amplitude)](#5-extracting-the-envelope-amplitude)\n", + "6. [Extracting Instantaneous Phase](#6-extracting-instantaneous-phase)\n", + "7. [The Narrowband Requirement](#7-the-narrowband-requirement)\n", + "8. [Complete Workflow — Filter → Hilbert → Extract](#8-complete-workflow--filter--hilbert--extract)\n", + "9. [Instantaneous Frequency](#9-instantaneous-frequency)\n", + "10. [Edge Effects and Padding](#10-edge-effects-and-padding)\n", + "11. [Alternative Approaches — Wavelet Transform](#11-alternative-approaches--wavelet-transform)\n", + "12. [Phase Synchronization Preview](#12-phase-synchronization-preview)\n", + "13. [Exercises](#13-hands-on-exercises)\n", + "14. [Summary](#14-summary)\n", + "15. [Discussion Questions](#15-discussion-questions)\n", + "\n", + "---\n" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2a6a5dc4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumPy version: 2.3.5\n", + "Source path: /Users/remyramadour/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials/src\n" + ] + } + ], + "source": [ + "# Standard library imports\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Tuple, Optional\n", + "\n", + "# Third-party imports\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "from scipy.signal import hilbert\n", + "\n", + "# Add src to path for local imports\n", + "src_path = Path.cwd().parent.parent.parent / \"src\"\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "# Local imports\n", + "from signals import generate_sine_wave\n", + "from spectral import compute_psd_welch\n", + "from filtering import bandpass_filter, lowpass_filter\n", + "from colors import COLORS\n", + "from constants import EEG_BANDS, BAND_COLORS\n", + "\n", + "\n", + "# Matplotlib configuration\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"font.size\"] = 11\n", + "\n", + "print(f\"NumPy version: {np.__version__}\")\n", + "print(f\"Source path: {src_path}\")" + ] + }, + { + "cell_type": "markdown", + "id": "d59e89e7", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 1. Introduction\n", + "\n", + "Many connectivity metrics in hyperscanning research require **phase** or **amplitude** information:\n", + "\n", + "- **Phase-based metrics** (PLV, PLI, wPLI): Measure synchronization by comparing phases between signals\n", + "- **Amplitude-based metrics** (Envelope Correlation, Power Correlation): Track co-fluctuations in signal strength\n", + "\n", + "But there's a fundamental problem: **a raw signal doesn't have a single \"phase.\"** A real EEG signal is a mixture of many frequencies, each with its own phase. Which phase do we report?\n", + "\n", + "The solution involves two steps:\n", + "1. **Band-pass filter** the signal to isolate a narrow frequency range (e.g., alpha 8-13 Hz)\n", + "2. Apply the **Hilbert transform** to extract instantaneous amplitude and phase\n", + "\n", + "The Hilbert transform is the mathematical tool that enables this extraction. It's the foundation for virtually all phase-based and many amplitude-based connectivity analyses in neuroscience." + ] + }, + { + "cell_type": "markdown", + "id": "a8b09855", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 2. The Problem — What is \"Phase\" of a Complex Signal?\n", + "\n", + "For a **pure sine wave**, phase is well-defined at every time point:\n", + "\n", + "$$x(t) = A \\sin(2\\pi f t + \\phi)$$\n", + "\n", + "At any time $t$, the phase is simply $2\\pi f t + \\phi$.\n", + "\n", + "But for a **composite signal** (sum of multiple frequencies), there is no single phase. Which frequency's phase do we report?\n", + "\n", + "Let's visualize this problem:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "d0b50b44", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Key insight: We must filter to a narrow band before extracting phase.\n", + "But HOW do we extract phase from the filtered signal? → Hilbert Transform!\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 1: Phase Ambiguity in Composite Signals\n", + "# ============================================================================\n", + "\n", + "# Parameters\n", + "fs = 250 # Sampling rate\n", + "duration = 1.0 # seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create signals\n", + "pure_10hz = np.sin(2 * np.pi * 10 * t)\n", + "composite = (np.sin(2 * np.pi * 5 * t) + \n", + " np.sin(2 * np.pi * 10 * t) + \n", + " 0.5 * np.sin(2 * np.pi * 20 * t))\n", + "\n", + "# Band-pass filter to isolate 10 Hz\n", + "filtered_10hz = bandpass_filter(composite, 8, 12, fs)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Plot 1: Pure sine wave\n", + "ax1 = axes[0]\n", + "ax1.plot(t * 1000, pure_10hz, color=COLORS[\"signal_1\"], linewidth=2)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Pure 10 Hz Sine Wave — Phase is Well-Defined', fontsize=12, fontweight='bold')\n", + "ax1.set_xlim(0, 500)\n", + "ax1.grid(True, alpha=0.3)\n", + "ax1.axhline(y=0, color='gray', linestyle='--', linewidth=0.8)\n", + "\n", + "# Add phase annotation with better positioning\n", + "ax1.annotate('Phase = 0°', xy=(0, 0), xytext=(15, -0.6),\n", + " fontsize=10, arrowprops=dict(arrowstyle='->', color='gray'))\n", + "ax1.annotate('Phase = 90° (peak)', xy=(25, 1), xytext=(70, 0.85),\n", + " fontsize=10, arrowprops=dict(arrowstyle='->', color='gray'))\n", + "\n", + "# Plot 2: Composite signal\n", + "ax2 = axes[1]\n", + "ax2.plot(t * 1000, composite, color=COLORS[\"signal_3\"], linewidth=2)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Composite Signal (5 + 10 + 20 Hz) — Phase is AMBIGUOUS', \n", + " fontsize=12, fontweight='bold', color=COLORS[\"negative\"])\n", + "ax2.set_xlim(0, 500)\n", + "ax2.grid(True, alpha=0.3)\n", + "ax2.axhline(y=0, color='gray', linestyle='--', linewidth=0.8)\n", + "\n", + "# Add warning annotation with better positioning (top right)\n", + "ax2.text(360, 1.3, 'Which phase?', ha='center', fontsize=11, fontweight='bold', color=COLORS[\"negative\"])\n", + "ax2.text(360, 0.8, '5 Hz? 10 Hz? 20 Hz?', ha='center', fontsize=10, color=COLORS[\"negative\"],\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=COLORS[\"negative\"], alpha=0.8))\n", + "\n", + "# Plot 3: Filtered signal\n", + "ax3 = axes[2]\n", + "ax3.plot(t * 1000, filtered_10hz, color=COLORS[\"signal_5\"], linewidth=2)\n", + "ax3.set_xlabel('Time (ms)', fontsize=11)\n", + "ax3.set_ylabel('Amplitude', fontsize=11)\n", + "ax3.set_title('Band-pass Filtered (8-12 Hz) — Phase Becomes Meaningful', \n", + " fontsize=12, fontweight='bold', color=COLORS[\"signal_3\"])\n", + "ax3.set_xlim(0, 500)\n", + "ax3.grid(True, alpha=0.3)\n", + "ax3.axhline(y=0, color='gray', linestyle='--', linewidth=0.8)\n", + "\n", + "# Add success annotation\n", + "ax3.text(375, 0.6, '✓ Now we can\\nextract phase!', \n", + " ha='center', fontsize=11, color=COLORS[\"signal_3\"],\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=COLORS[\"signal_3\"], alpha=0.8))\n", + "\n", + "plt.suptitle('Visualization 1: The Phase Ambiguity Problem', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Key insight: We must filter to a narrow band before extracting phase.\")\n", + "print(\"But HOW do we extract phase from the filtered signal? → Hilbert Transform!\")" + ] + }, + { + "cell_type": "markdown", + "id": "2a9bac88", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 3. The Analytic Signal Concept\n", + "\n", + "The key to extracting phase and amplitude is the **analytic signal**.\n", + "\n", + "### Definition\n", + "\n", + "For a real signal $x(t)$, the analytic signal $z(t)$ is:\n", + "\n", + "$$z(t) = x(t) + i \\cdot \\hat{x}(t)$$\n", + "\n", + "where:\n", + "- $x(t)$ is the original real signal\n", + "- $\\hat{x}(t) = \\mathcal{H}\\{x(t)\\}$ is the **Hilbert transform** of $x(t)$\n", + "- $i = \\sqrt{-1}$\n", + "\n", + "### What We Can Extract\n", + "\n", + "From the analytic signal, we can compute:\n", + "\n", + "| Quantity | Formula | Meaning |\n", + "|----------|---------|--------|\n", + "| **Instantaneous Amplitude** | $A(t) = |z(t)| = \\sqrt{x^2 + \\hat{x}^2}$ | The envelope (signal strength) |\n", + "| **Instantaneous Phase** | $\\phi(t) = \\arg(z(t)) = \\text{atan2}(\\hat{x}, x)$ | The oscillation phase |\n", + "\n", + "### Geometric Interpretation: The Rotating Phasor\n", + "\n", + "Think of the analytic signal as a **rotating vector** in the complex plane:\n", + "- The **real part** (x-axis) is the original signal\n", + "- The **imaginary part** (y-axis) is the Hilbert transform\n", + "- The **length** of the vector is the amplitude\n", + "- The **angle** of the vector is the phase" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "99a17f92", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The phasor rotates counterclockwise at the signal frequency.\n", + "Its length = amplitude, its angle = phase.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 2: The Analytic Signal as a Rotating Phasor\n", + "# ============================================================================\n", + "\n", + "# Create a simple sine wave\n", + "fs = 250\n", + "duration = 0.5\n", + "t = np.arange(0, duration, 1/fs)\n", + "freq = 5 # Hz\n", + "signal_sin = np.sin(2 * np.pi * freq * t)\n", + "\n", + "# Compute analytic signal\n", + "analytic = hilbert(signal_sin)\n", + "real_part = np.real(analytic)\n", + "imag_part = np.imag(analytic)\n", + "envelope = np.abs(analytic)\n", + "phase = np.angle(analytic)\n", + "\n", + "# Create figure with phasor diagram and time series\n", + "fig = plt.figure(figsize=(14, 5))\n", + "\n", + "# Left: Phasor diagram (complex plane)\n", + "ax1 = fig.add_subplot(1, 2, 1)\n", + "\n", + "# Draw the unit circle\n", + "theta_circle = np.linspace(0, 2*np.pi, 100)\n", + "ax1.plot(np.cos(theta_circle), np.sin(theta_circle), 'k--', alpha=0.3, linewidth=1)\n", + "\n", + "# Plot the trajectory of the analytic signal\n", + "ax1.plot(real_part, imag_part, color=COLORS[\"signal_1\"], linewidth=1.5, alpha=0.5, label='Trajectory')\n", + "\n", + "# Show a few phasor snapshots\n", + "snapshot_indices = [0, 12, 25, 37, 50]\n", + "colors_snap = [COLORS[\"signal_1\"], COLORS[\"signal_3\"], COLORS[\"signal_4\"], COLORS[\"signal_5\"], COLORS[\"negative\"]]\n", + "\n", + "for idx, color in zip(snapshot_indices, colors_snap):\n", + " ax1.arrow(0, 0, real_part[idx]*0.95, imag_part[idx]*0.95, \n", + " head_width=0.08, head_length=0.05, fc=color, ec=color, linewidth=2)\n", + " ax1.plot(real_part[idx], imag_part[idx], 'o', color=color, markersize=8)\n", + " ax1.annotate(f't={t[idx]*1000:.0f}ms', xy=(real_part[idx], imag_part[idx]),\n", + " xytext=(real_part[idx]+0.15, imag_part[idx]+0.15), fontsize=9)\n", + "\n", + "ax1.set_xlim(-1.5, 1.5)\n", + "ax1.set_ylim(-1.5, 1.5)\n", + "ax1.set_xlabel('Real Part: x(t)', fontsize=11)\n", + "ax1.set_ylabel('Imaginary Part: ĥ(t)', fontsize=11)\n", + "ax1.set_title('Phasor Diagram (Complex Plane)', fontsize=12, fontweight='bold')\n", + "ax1.set_aspect('equal')\n", + "ax1.axhline(y=0, color='gray', linestyle='-', linewidth=0.5)\n", + "ax1.axvline(x=0, color='gray', linestyle='-', linewidth=0.5)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Add labels for amplitude and phase\n", + "idx_demo = 25\n", + "ax1.annotate('', xy=(real_part[idx_demo], imag_part[idx_demo]), xytext=(0, 0),\n", + " arrowprops=dict(arrowstyle='<->', color=COLORS[\"signal_4\"], lw=2))\n", + "ax1.text(0.3, 0.5, 'A(t) = |z(t)|', fontsize=10, color=COLORS[\"signal_4\"], fontweight='bold')\n", + "\n", + "# Right: Time series showing relationship\n", + "ax2 = fig.add_subplot(1, 2, 2)\n", + "ax2.plot(t * 1000, real_part, color=COLORS[\"signal_1\"], linewidth=2, label='Real: x(t)')\n", + "ax2.plot(t * 1000, imag_part, color=COLORS[\"signal_2\"], linewidth=2, label='Imag: ĥ(t)')\n", + "ax2.plot(t * 1000, envelope, color=COLORS[\"signal_4\"], linewidth=2, linestyle='--', label='Envelope: |z(t)|')\n", + "\n", + "# Mark snapshot times\n", + "for idx, color in zip(snapshot_indices, colors_snap):\n", + " ax2.axvline(x=t[idx]*1000, color=color, linestyle=':', alpha=0.7)\n", + "\n", + "ax2.set_xlabel('Time (ms)', fontsize=11)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Time Domain View', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 2: The Analytic Signal — A Rotating Phasor', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The phasor rotates counterclockwise at the signal frequency.\")\n", + "print(\"Its length = amplitude, its angle = phase.\")" + ] + }, + { + "cell_type": "markdown", + "id": "1007d187", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 4. The Hilbert Transform — Mathematical Definition\n", + "\n", + "### What is the Hilbert Transform?\n", + "\n", + "The Hilbert transform $\\mathcal{H}\\{x(t)\\}$ is a linear operator that **shifts each frequency component by 90°** (π/2 radians):\n", + "\n", + "$$\\hat{x}(t) = \\mathcal{H}\\{x(t)\\} = \\frac{1}{\\pi} \\text{P.V.} \\int_{-\\infty}^{\\infty} \\frac{x(\\tau)}{t - \\tau} d\\tau$$\n", + "\n", + "where P.V. denotes the Cauchy principal value.\n", + "\n", + "### Frequency Domain Interpretation\n", + "\n", + "In the frequency domain, the Hilbert transform is much simpler:\n", + "\n", + "$$\\mathcal{H}\\{x\\}(\\omega) = -i \\cdot \\text{sgn}(\\omega) \\cdot X(\\omega)$$\n", + "\n", + "This means:\n", + "- **Positive frequencies**: multiply by $-i$ → phase shift of $-90°$\n", + "- **Negative frequencies**: multiply by $+i$ → phase shift of $+90°$\n", + "- **DC component (ω = 0)**: unchanged\n", + "\n", + "### Why 90° Phase Shift?\n", + "\n", + "For a sine wave, a 90° phase shift gives the cosine:\n", + "\n", + "$$x(t) = \\sin(2\\pi f t) \\quad \\rightarrow \\quad \\hat{x}(t) = -\\cos(2\\pi f t)$$\n", + "\n", + "This creates an **orthogonal companion** to the original signal, which is exactly what we need to form a phasor in the complex plane!" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8d6f1f70", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean Squared Error between computed and theoretical: 6.72e-02\n", + "The Hilbert transform of sin(t) is indeed -cos(t)!\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 3: The 90° Phase Shift\n", + "# ============================================================================\n", + "\n", + "# Create a simple signal\n", + "fs = 250\n", + "duration = 0.5\n", + "t = np.arange(0, duration, 1/fs)\n", + "freq = 5 # Hz\n", + "\n", + "# Original signal and its Hilbert transform\n", + "original = np.sin(2 * np.pi * freq * t)\n", + "analytic = hilbert(original)\n", + "hilbert_transformed = np.imag(analytic)\n", + "\n", + "# Theoretical Hilbert transform of sin is -cos\n", + "theoretical = -np.cos(2 * np.pi * freq * t)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6))\n", + "\n", + "# Plot 1: Original and Hilbert transform\n", + "ax1 = axes[0]\n", + "ax1.plot(t * 1000, original, color=COLORS[\"signal_1\"], linewidth=2, label='Original: sin(2πft)')\n", + "ax1.plot(t * 1000, hilbert_transformed, color=COLORS[\"signal_2\"], linewidth=2, \n", + " label='Hilbert: ĥ(t) = -cos(2πft)')\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('The Hilbert Transform Shifts Phase by 90°', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "ax1.axhline(y=0, color='gray', linestyle='--', linewidth=0.8)\n", + "\n", + "# Mark the 90° phase shift\n", + "ax1.annotate('', xy=(50, 1), xytext=(0, 1),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_4\"], lw=2))\n", + "ax1.text(25, 1.1, '90° = T/4', ha='center', fontsize=10, color=COLORS[\"signal_4\"], fontweight='bold')\n", + "\n", + "# Plot 2: Verification (should match theoretical)\n", + "ax2 = axes[1]\n", + "ax2.plot(t * 1000, hilbert_transformed, color=COLORS[\"signal_2\"], linewidth=2, \n", + " label='Computed Hilbert transform')\n", + "ax2.plot(t * 1000, theoretical, color=COLORS[\"signal_4\"], linewidth=2, linestyle='--',\n", + " label='Theoretical: -cos(2πft)')\n", + "ax2.set_xlabel('Time (ms)', fontsize=11)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Verification: Hilbert(sin) = -cos', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Show the error\n", + "mse = np.mean((hilbert_transformed - theoretical)**2)\n", + "ax2.text(350, 0.7, f'MSE = {mse:.2e}', fontsize=10, \n", + " bbox=dict(boxstyle='round', facecolor='white', alpha=0.8))\n", + "\n", + "plt.suptitle('Visualization 3: The 90° Phase Shift Property', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Mean Squared Error between computed and theoretical: {mse:.2e}\")\n", + "print(\"The Hilbert transform of sin(t) is indeed -cos(t)!\")" + ] + }, + { + "cell_type": "markdown", + "id": "ffa46ee3", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 5. Extracting the Envelope (Amplitude)\n", + "\n", + "### Definition\n", + "\n", + "The **instantaneous amplitude** (or envelope) is the magnitude of the analytic signal:\n", + "\n", + "$$A(t) = |z(t)| = \\sqrt{x(t)^2 + \\hat{x}(t)^2}$$\n", + "\n", + "### Physical Interpretation\n", + "\n", + "The envelope captures the **slow fluctuations in signal strength**:\n", + "- For a pure sine wave: envelope is constant\n", + "- For an amplitude-modulated signal: envelope follows the modulation\n", + "- For a filtered EEG band: envelope represents \"power\" in that band over time\n", + "\n", + "### Applications in Hyperscanning\n", + "\n", + "Amplitude correlations are used in:\n", + "- **Envelope Correlation**: Pearson correlation between amplitude envelopes\n", + "- **Power Correlation**: Similar, but often squared envelopes\n", + "- **Amplitude Coupling**: Cross-correlation of envelopes at different lags" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "5a344593", + 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Correlation between true modulation and extracted envelope: 0.982\n", + "The envelope successfully captures the amplitude modulation!\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 4: Envelope Extraction\n", + "# ============================================================================\n", + "\n", + "# Create an amplitude-modulated signal\n", + "fs = 250\n", + "duration = 2.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Carrier frequency (10 Hz) with slow amplitude modulation (1 Hz)\n", + "carrier_freq = 10\n", + "modulation_freq = 1\n", + "modulation = 0.5 + 0.5 * np.sin(2 * np.pi * modulation_freq * t) # Between 0 and 1\n", + "am_signal = modulation * np.sin(2 * np.pi * carrier_freq * t)\n", + "\n", + "# Band-pass filter around carrier frequency\n", + "filtered_signal = bandpass_filter(am_signal, 8, 12, fs)\n", + "\n", + "# Compute analytic signal and envelope\n", + "analytic = hilbert(filtered_signal)\n", + "envelope = np.abs(analytic)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Plot 1: Original AM signal\n", + "ax1 = axes[0]\n", + "ax1.plot(t * 1000, am_signal, color=COLORS[\"signal_1\"], linewidth=1, alpha=0.7)\n", + "ax1.plot(t * 1000, modulation, color=COLORS[\"negative\"], linewidth=2, linestyle='--', \n", + " label='True modulation')\n", + "ax1.plot(t * 1000, -modulation, color=COLORS[\"negative\"], linewidth=2, linestyle='--')\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Amplitude-Modulated Signal (10 Hz carrier, 1 Hz modulation)', \n", + " fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Plot 2: Filtered signal with envelope\n", + "ax2 = axes[1]\n", + "ax2.plot(t * 1000, filtered_signal, color=COLORS[\"signal_3\"], linewidth=1, alpha=0.7,\n", + " label='Filtered signal')\n", + "ax2.plot(t * 1000, envelope, color=COLORS[\"signal_4\"], linewidth=2, \n", + " label='Envelope |z(t)|')\n", + "ax2.plot(t * 1000, -envelope, color=COLORS[\"signal_4\"], linewidth=2)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Extracted Envelope via Hilbert Transform', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Plot 3: Envelope vs true modulation\n", + "ax3 = axes[2]\n", + "ax3.plot(t * 1000, modulation, color=COLORS[\"negative\"], linewidth=2, \n", + " label='True modulation')\n", + "ax3.plot(t * 1000, envelope, color=COLORS[\"signal_4\"], linewidth=2, linestyle='--',\n", + " label='Extracted envelope')\n", + "ax3.set_xlabel('Time (ms)', fontsize=11)\n", + "ax3.set_ylabel('Amplitude', fontsize=11)\n", + "ax3.set_title('Comparison: True Modulation vs Extracted Envelope', fontsize=12, fontweight='bold')\n", + "ax3.legend(loc='upper right', fontsize=10)\n", + "ax3.grid(True, alpha=0.3)\n", + "\n", + "# Compute correlation\n", + "correlation = np.corrcoef(modulation, envelope)[0, 1]\n", + "ax3.text(1500, 0.85, f'Correlation = {correlation:.3f}', fontsize=11,\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=COLORS[\"signal_4\"], alpha=0.8))\n", + "\n", + "plt.suptitle('Visualization 4: Envelope Extraction', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Correlation between true modulation and extracted envelope: {correlation:.3f}\")\n", + "print(\"The envelope successfully captures the amplitude modulation!\")" + ] + }, + { + "cell_type": "markdown", + "id": "0ed41cfe", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 6. Extracting Instantaneous Phase\n", + "\n", + "### Definition\n", + "\n", + "The **instantaneous phase** is the angle of the analytic signal:\n", + "\n", + "$$\\phi(t) = \\arg(z(t)) = \\text{atan2}(\\hat{x}(t), x(t))$$\n", + "\n", + "The result is in radians, ranging from $-\\pi$ to $\\pi$.\n", + "\n", + "### Phase Wrapping\n", + "\n", + "Since phase is circular, it \"wraps\" when it crosses $\\pm\\pi$. This is important to remember when:\n", + "- Computing phase differences\n", + "- Analyzing phase time series\n", + "- Calculating instantaneous frequency\n", + "\n", + "### Applications in Hyperscanning\n", + "\n", + "Phase synchronization metrics:\n", + "- **PLV (Phase Locking Value)**: Consistency of phase difference\n", + "- **PLI (Phase Lag Index)**: Asymmetry of phase lead/lag\n", + "- **wPLI (weighted PLI)**: Weighted by magnitude of imaginary coherence\n", + "- **Circular Statistics**: Mean phase, phase variance" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "e54a7b1c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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Wf36tXdfeQbKt3yXOeM+tQWAY330I6KCsDUGv7qzbrr6PKJnE68P3PQI6CLRoJcKAEi48Jr5H9O+Dre+dvVAK2fb1tgffIwic7d2712IdtBfUsxdOmjhi/LZdb3369BFncsR4sfU7koiIOsZgFBGRnZC5ogWj0CsIfTzQd0l/uz2QiYOsKJwtRwBiz549KkMKO/boX4EsnKVLl6r76s9Ea31wNPqDDj30TtEHohAAwtlnZBDgoKFtQKa78BoQ/NIOSE4//XQVtGt7Fl2fBYHA0JdffqkyEbCTjx5R+n5cjqIPAOHgEr1O9K9fy6gAZFugr4w1ISEhFvdzJmc/fkevrbPnR7AAB8jIvENWz759+9TnGP1kEER86KGH5MILL+wwmKCH3j36A1lkceAAGr1j0GPGWlC2O8vfGXw+tH41gN5E6NWEQAmyI9BbSD/2u7NMbT9rWG8YD+1B0LvtZ1r/+bV2nb7fUFe+S5zxnmuQAWjvd6et67ar7yP6CM2bN09l8SDAju9mfA7nzJmjPqf4XkYfsqeeeuqE4DJOUnSn/153IZDW9n3EcqJfUlez1/SsbTe6Mn7brjd8tjrr/dcdXR0vzvqOISLyZwxGERHZCSVA2EnVzprizL0+MwBNa22FHW88Fg5EUR6glQwg+woHDYCDPmsHrLt371aZO7gOzcj/+c9/Wn0OlKfoXXvttSoQBchycCQctGHZtedEw3RkQLU9c9x2udCEFmUw2lnl2bNnt/sc+gMBW87A67VtxouMNq35LQ7I9etj1KhRVrOiHAUBSDTwbptFhwbteG81bW/HATvKlgAHlVrzdFdD82d8flG6hYbMuGhZNvhM4zOJ93Lz5s3mwERn713bzyoycHAg64zPatvl0ZZJ/57jNWgluYCyJ3xWAe+RVsLlCDi4x3jRSvWwLn7729+esIxYJgTDtQN7fKa1dYOMG9ymfY8UFBSYA+fafbvzXdKV99wTdPV9xIQGyFJEE3Jkd2rwvmjl1dr3c9vvFnzH6htra1Aq7ewyLgTOEAzTZzHhJAHWAybJQKN5ffl3Z+PAVl0Zv2gwHxwcbM6ifeGFF9TJDP3z48QMSuq05ezuNqAr44WIiByPwSgiIjshsHL11Ver7J22O8OYGQ49VWyF7CD0TJo2bZoqqUAZIM7iY1YfaweN+jPGmAkJ/VpwVh/9SjDznDVt+1ngYARBEAQx0PPKkVAagpmm2mYg6GEHHxcsl1bygoNBrFMc5OJgoKNZBHv27Gn+GQcTOOBBDxecnUY2VUfZCDgIxfNqwZ577rlHZUTgMRE0QyaaRh9kdAZkajzzzDPm3mBa9gD6lejLpqwd0HoCBC+w3hEUwWcQvZqw7jFzHA56rX1+9e8dypu0DD1cEGRr+1nF+4UDRXw+OgpQdpV+eQCBZHw2kTWE/nDoIYPlx2sFzOyIA1YcOGNGMkeVtWqQVYRgMWBMow8TvlMQ6MGBPmZ+w/rF98RVV12l7oc+SOhbpwUCLrvsMtWrDVk9H330kblfEMYHZlrrzndJV95zT9DV9xEl1OjNhe8x9C1CQASBEWRxtX2tCF4joK59p/3mN79R32WYkQ2fJ3y3IIMMZbf4zj/llFMcNpve8OHDVf8wqKysVJ8hLbiD/k14PgS18frxXuF7R9+/r7NxYK2czZqujF+8nl/96lfm7SmCe/iModwP6xbZaMhEQ3avtq71y7t+/XoVHMT7g5NBmKmvI10dL0RE5ASdNDgnIiIr1qxZY3VWo2+//daumX0wg15nMyXpZ4TCjFIDBgywej/9bE36GbDg7LPPtvo3bWchw4xJ3ZlNz5aZn7T779271xATE3PC7ZhZ6dprr213difMFBUZGWn1sTGrYWfLvmPHDkNmZmaHy4jZ7eyZbaq9ddgRzNbX0TJgVjDMLtiWs2fTa/uYuJ/+7zCbmfY+dPZeT5gwwdDY2Gh+rK+//trq/YYNG6Zux4xZI0aMsOmzqi1Hd2aZrKurM2RkZFh9vrVr16r7PP/881ZvHz58uGHcuHEWy2fLc3Y2G+UjjzzS6Xpt+x4tXbrUEB8f3+79AwMD1cxxel35LunKe96etuvI1nHT1XXblfdx5syZHb7W8PBwtS3Qz8Y2evToTtdRRzOQdmU2Pf0yX3/99ebre/fubZ498n//+5/Fd+yKFSvsGge2zLjX1fGLz2Lbz1zbS2lpqfn+GzduVJ/ptveJioqy6TuhK+OlK9+RRETUsROnwSAiok4hq6Bt/wvMYKSdnbYVzv7iDDVmoUJjWpQmoGQBmQ84q4zeUcje0aCf0sKFC9WsbzhLjN+RWYMzx8iqaM8XX3yhzvLicXH2GCU06Cny1ltvue3dxjKgnxXK+vC60TcKDYHx+rA+2oP1jN4kJ598cpf6XSH7CmVETz75pOq7g+fV1vkll1wi8+fPl1deeUWcDdlveA+QFYf3HhkmyLrr16+fyvZCRoazs7O6AxkNaEqPjDZkMqAXC0p/kGGA8i1kH+C9xLrVoJcQ/gbvAT6HbaH8ZtGiRSpLChmGWB/I+kB2Hd4vR8PjoycQPoNYbmv+8Ic/qLI1zBiH5cPn7/bbb1f9gtrO+uUI+EwgOwkZjGjmjGXE8yIbBMuJ27Fe9TCzG0rK0A8O30sYT1i/2dnZKksGGTltJwvoyndJV95zT9GV9xHrAVk3KCXD+sc6xfuBEj9k2GCM6jPMkIG1evVq+de//qV6ayHjD+sH31MolcN7+uGHH3b4Xd0dmNVVy3ZFZg8yuLSZI/HcyAICZE3hc4GMOFvHgS26On7x2UOmKMrnUKKH9waPhWVBRhfeA33ZHspZ8f2J7++uNGTvynghIiLHC0BEygmPS0REREREREREdAJmRhERERERERERkcswGEVERERERERERC7DYBQREREREREREbkMg1FEREREREREROQyDEYREREREREREZHLMBhFREREREREREQuw2AUERERERERERG5DINRRERERERERETkMgxGERERERERERGRyzAYRURERERERERELsNgFBERERERERERuQyDUURERERERERE5DIMRhERERERERERkcswGEVERERERERERC7DYBQREREREREREbkMg1FEREREREREROQyDEYREREREREREZHLMBhFREREREREREQuw2AUERERERERERG5DINRRERERERERETkMgxGERERERERERGRyzAYRURERERERERELsNgFBERERERERERuQyDUURERERERERE5DIMRhERERERERERkcswGEVERERERERERC7DYBQREREREREREbkMg1FEREREREREROQyDEYREREREREREZHLMBhFREREREREREQuw2AUERERERERERG5DINRRERERERERETkMgxGERERERERERGRyzAYRURERERERERELsNgFBERERERERERuQyDUURERERERERE5DIMRhERERERERERkcswGEVERERERERERC7DYBQREREREREREbkMg1FEREREREREROQyDEYREREREREREZHLMBhFREREREREREQuw2AUERERERERERG5DINRRERERERERETkMgxGERERERERERGRyzAYRURERERERERELsNgFBERERERERERuQyDUURERERERERE5DIMRhERERERERERkcswGEVERERERERERC7DYBQREREREREREbkMg1FEREREREREROQyDEYRERGRTQ4ePCgBAQHqMm3atC6vtZtuusn8OEuWLPGa5W4PHlN7fDyXp3n33XfNy/fkk086/fnwHNrz4bm7o7q6WtLS0tRjPfPMM+JPPvzwQ/W6w8PD5ciRI+5eHCIiIodiMIqIiMhHHT9+XB555BEZNWqUxMTESEREhPTt21duvvlm2bx5s7sXz6Pt2LFDrrnmGunRo4eEhIRIYmKiDBo0SC677DJ57bXX3L14fuPVV1+VgoICFZD59a9/bb5+48aN8vDDD8uUKVOkZ8+eEhoaKikpKXLBBRfIsmXLnL5cCA7deeed0q9fP7VsYWFh0rt3b7n11ltl//79Nj1GWVmZCtzhYi1oN2vWLPX5q6+v97tAHBER+b4Ag8FgcPdCEBERkWP9/PPPcskll0hJSYnV2wMDA+Xll1+We++91+bHxEHx2rVr1c9xcXEyYsSILi3b3r17VaAM8Bh4LGdCtlKfPn3Uz1OnTu00G2v79u0yadIkqaqqsno7AhD79u0z/75161YpLy9XP5900kkqMOFJEOhAABKeeOIJp2dH5ebmqgsMHDhQUlNTu/Q4TU1NkpmZqT4rV111lXz88cfm2+644w7597//3e5n+/PPP5dLL71UnKGwsFBGjhwpx44ds3o7ApdbtmxRQbLufi4fffRRee6551SwLT8/Xz02ERGRL2BmFBERkY9B1sbFF19sDkSdeuqpMnv2bPnhhx/klltuUde1tLTIfffdJ/PmzbPpMWtqalSQ5ZRTTlGXrgaiYMCAAebHcXYgqiueffZZcyAK2SnffvutfP/99/L666+rbKmoqCiL+2NdaK/H0wJR7pCdnW1eH10NRAHWuRa0REZaW+np6fLHP/5R3e+jjz5SmWvaZ/v+++8XZ0FQTAtE9erVS42tL774Qv0MGHeffPKJQ55LC6g1NDSo10hEROQrGIwiIiLyMX/5y1+ktLRU/YwD9J9++kkdzM+cOVPeeust1bMJkByNUqf2egu98cYb6u9RpvbZZ5912HsJmSCnn366REZGqmyWp556ShYsWGC+v/acHfWM0q5DuROypy688EKJjo5W2SDIhKmrq7PoJYQyqfHjx6ueQsgcQWBr8uTJ6jV2x4YNG8w///e//5Xzzz9fzj77bPV86OOzcuVKm3pG1dbWqoAfysfwOvB6cDten3Z/DdaDfl3Nnz9fZVmhBAzBnX/84x8Wz7lt2za59tprZejQoWr94D1C4Oe8885TWXG2aPucnUGQB+Viw4cPVyWf2rLhOfXrvL2eUfrXjWDO9ddfLwkJCaqE9Morrzwhi2/OnDnqf9z/zDPPtLjtuuuuU+Vwf/7zn9V7c/XVV8unn35qvv3QoUOqvK/t562zC5axM1oWHFxxxRVqbCFohJ/1WV0dwTJpWVGwdOlSq2MLn2+sI/36ICIi8gXB7l4AIiIiciz9Qes999xzQrbOAw88YA4SoMQsJydH9ZLS+9///qeut8WBAwdUmRF64EBeXp4KSKBXVVcgkIagUnFxsTnwhJKs5ORkFXyAyspKFSzTa2xslFWrVqkLluHxxx/v0vMjOKJBMAlBqNGjR0twsHG3CQE3WyBA8vXXX5t/R4bVpk2b1OvpLEiE9Y/gDxw+fFh++9vfqsDTjBkzzMGotpkyKB9Dphsy4BAIRHDQkRCIartOsWy4IECDfkm2Ovnkky0+Xwh2IqD2wQcfmK/75Zdf1P/4bLbNoEPWlbWMOz1b3yd76YNFWG6UdCKIhJ8BgTprmVxdNWbMGFm0aJGsXr1ampubJSgoyGGPTURE5C7MjCIiIvIhCNLoZ95CEKWtYcOGqQN/fbPuthAoQCbVV199pQ6y8TftQamUFohCLx0Ew1555RXZs2dPl15DRUWFyiZC6dOf/vQn8/X6HkEINDz99NNq2X788UdZvHixKo3SAhIvvviiKm3qCi3gA2+//bbKUEIwBNk5b775pgp6dQbLpAWikEH0t7/9Ta1LvK72+njps3rQiBvBK/RKsvb6kbH217/+VT0mAhULFy6Uf/3rXyrwiCAW+gw5mvZ64uPjVdAIAa/3339fZa1lZGTY9VjIGsNjoPQRWW2A90/LOkJmEbLjoH///jY9Jj4vGpSmIhtN+3zqm5qjvA+/43LOOeeYr0f2GUruOpuFEI+N+8bGxqreWJdffrkKPuFnBMmWL19usczWMsWwTOhrpR+n2jKhabue9lgIYuKzQURE5AuYGUVERORDEMjRQ/CjLRwUJyUlmfve6MuONOh/891335mzgUBfgqZB4ANBEw3K2FDGBWi4/Pzzz3e5Lw8O0FH+hMfctWuXFBUVqWVFYAiBAGSMICiAmdWQTYWsEQ16PuFvEByzF2YgXLdunSpv1PfMQvAFF5SkIWigD+i1hSCR5u6775bf/e536ufBgwerS0dQboeSMwSWEAjT+g/pm6bjdaEcD9lKeJ14vfo5abD8tmT42DOPjfZ60TMLTdyxDAgKotzOXghCoa8ZfPPNNyqbC+8fPmPIqEPATls2rUytI+vXr1dZgID1hub8GgQo9VlTWu8z0Pe0Qu8vlMXZAuV8KEdtG8jFcmDcjB07tsO/x/LoPz/4TFvL9mr7+jEG2mYxEhEReSNmRhEREfkQBGnalm61hYN8rQQOrDURRx8efSCqPejLozX7RmBCC0QBSu26+hr0GV0InGm0DKwvv/xSZQ8hYIQDdH0gqu19u1Kmh55NCDyhRG/IkCEWt6Nc6p133unwMfQlaBMnTrTIaOosuIKyL6200tprBzToRgkhZjdENlzboFJXX3tHtDI8lEDivUXmEbJ2fv3rX9udBYeyTk17r1HTWcAMmUhnnHGGClTiM4tA5rhx48RZkImGQBoCUQggIRMRgdfTTjtNZXxhxkJHNhvnxNdEROSLGIwiIiLyIQikIGNDgx5FbeEgWl9qhl5EbaEpuL30Dbm7o22wRh8U0w7MX3vtNYtm0CiLQ7aSvtG11nOpK/Bapk+frjJ4sL7QF0ufuaJvcm7LY3X19Vt77Sg//M9//mO+HdlnKFPE60dfLf19Hem2225TM9chEwpBR5TXoYk4lkXfM8wRrxFN2bX1pjXjtwbvO8pJkRGIAB7K7C655BJxBHyusDy46Mv0kBmnfbaQjdWzZ09V+ocMOGuZcfhb7XFsaRTflv71a+8vERGRt2MwioiIyMdo5U/wz3/+84TeSehfpC9Nslb2Y2sABWVOWsNv9LTZuXOn+ba2s845ErJzNOixgyDUlClTLK7vKmREtV1nKMvSz5ZmLRNLD2VsGmQvaXbv3t1hcMUWyGrTZhZESdsf/vAHVXKH97GzflTdgWAKMubQJwqN75ERh+wsQMnnihUrHPZcCFBppXX68kQ99CZDdhxKKFE6OHfuXLnooou6/JydzYCnQSaeRssKBGSoWbu+PYGBgTYFTrXXj9eI8lkiIiJfwJ5RREREPub3v/+9ag6NTBUEhxCowWxsOJhF5giacmueffbZbj0XDqgRENDKkpA183//93+qmTOamDsLDsq10jDM8IbsGMxAZ60Zu72QyYKMnyuvvFLN+oZsFDSORsNwDXo5dRYQRFaVlsWFbLXs7GzVdL27kLWGpugISCEohMwkXIdm7/Zkg2HWPm3GvRtvvNHcXLs9aNSNwCMaeOP1IHij701VX18vjoR1j/cYWWlarzANmn9jtkIEBRE4RWkcMqNQsqd/j9rOJNlR0BWln3h9+rJKa9DMHxlZgHWOv8HjaDM9tjdxQEfZYXgfkU2Fzxo+J7i0zW7EcnEmPSIi8hUMRhEREfmYrKwsdWCN5t8ISKHRNS5tg0gvvfSSnH/++d1+PhyEz5s3Tz0XGjhrmVlocL1lyxZxhl/96lfmBuNoVo0LAjToFYRl6C5k+iCYZi2ghrLGzpp2IwCILB3MQIfMnXvvvVddj5IulKB1J4MJ7x36N2lZb+jZBMgkQqYa+ng5AwJC+Fy99957J9yGYBj6NjkSPr/ozYWMLGSrYcY6DbKgtOw03I4AbFsIYiGjrSP6flWYjRCfY2uN+vWQDYZgL/qx4b6zZs2yuL1Hjx7m97sjCGJpn1eMHa28EIE1rSwQwT4tkw7rg4iIyFewTI+IiMgHIeMFWVEo4UJ/H2RFIUsEB+fIgsFBrjbDW3f16dNHli5dqkrFEBDKyMiQxx57TGUsadDc3JGQpfPvf/9bBWDwnMiCwYxs+gbqXYVMpqeeekr1QUIGFh4/IiJCNTJH0OOXX35Rv3cGjbQRlEDAA6//vPPOU0FBLXvJlsdoDwKJCIpgXaOR+IUXXigLFy7s1mN25q677lLZYihBxHOilA7BtWuvvVZlJFlrhN8dKAlELyZAEMwZkDGI9xnvsa2QtYTxg4AoSiPROwsX/IyG92vWrDEvty2fEbzO9praa68bYxeZYERERL4iwMApOoiIiKibsDvRts/Uww8/LC+88IK5T5Wjgl/evE527dplnp0PmWObN29209J5B3x+8DlCkO3w4cMWmUy+DpMMIHh89OhRFeTSyj6JiIh8ATOjiIiIqNvQPPyTTz5RPX5w+cc//qEuEBIS4pclRg8++KA899xzKlMGgRT0GUJmkUb/M1n3m9/8RpUe1tbWyhtvvOFXq+mzzz5TgShkRT366KPuXhwiIiKHYmYUERERdX+Hop3Z93A9ZrvTT3vvL2666Sar/ZUATcARnLKnPIyIiIjIV7CBOREREXXbPffco/pGYdY5NOxOSUmRyZMnq548CLz4I8wyeOTIEdm2bZtqWI5SMzQ/R+8flF0hY4yIiIjIHzEzioiIiIiIiIiIXIY9o4iIiIiIiIiIyGUYjCIiIiIiIiIiIpdhzyg7tbS0qJlNYmJi2m3WSkRERERERETkTwwGg1RWVkqPHj0kMLDj3CcGo+yEQFRWVlZ33h8iIiIiIiIiIp90+PBhyczM7PA+DEbZCRlR2sqNjY0Vb87wKiwsVLMddRax9EUNzfVSUV8izS1NEhQYLLFhiRIaFObuxSIP4+/jxNtxnDsfxwi5mzeMc44TIueOEW/4HiDyl21JRUWFSt7R4iY+F4zat2+fvPTSS7Jq1So1XfLgwYPV/7akjL3wwgvy+uuvqzdy9OjR8vLLL8ukSZNsfm6tNA+BKG8PRtXV1anX4MkfZkerrCuTnMIdcrziiBjEYL4+QAIkLTZT+qYMlZjweLcuI3kOfx0n3o7j3HU4RshdvGmcc5wQOWeMeNP3AJG/bUsCbGhp5Pmvwort27fL3LlzpX///jJ06FCb/w6BqCeeeEJ+97vfyXfffScZGRly1llnSU5OjlOXlzxDUVW+rMr56YQNFuB3XI/bcT8i8k4c50S+j+OciPg9QOT9vDIYdcEFF6gyudmzZ8vYsWNt+htEEZ977jl54IEHVDBq+vTp8sknn0hiYqLKsiLfhjMnG3OXS4uh5YRAlAbX43bcD/cnIu/CcU7k+zjOiYjfA0S+wSuDUV1JS1uxYoWqX5w1a5b5utDQULn00ktl3rx5Dl5C8jRI4UWZpi1wv5zCnU5fJiJyLI5zIt/HcU5E/B4g8g1e2TOqK3bt2qX+R38pvSFDhkhubq7U1tZKRESEm5aOnKm+qc5qaV57jCV7h6W+aYyEBYfzzSHyAhznRL6P45yI/PV7oLm5WRobG929GOTmnlGNjY2q4sudPaNCQkIkKCjIIY/lN8Go0tJSCQsLk/Bwyy+hhIQElQmD260Fo+rr69VFg+wq7cOAi7fCsuN1e/Nr6EhDU4vsLa6RkppGqajNk9AA2zZY+g1XcdVxSY/Nctoykufz9XHiS/LL8m3eMbXYQS0/JpkJ2U5bLl/HMUKuhO1yV8b53O27JTuhl4zsESPBgZ03VHU0jhOiro+RwqoGWXO4XPYUVkt9s0HiQoulf6L/7NdjvRw/flzKythChESNkcrKSrevivj4eElLS7PapNye4ya/CUZ1FfpMPfXUUydcj9n4EJX0VviQlJeXqy84b+jGb6vmFoPsKG6U9QUNUttk3FClRlZL/0T7H+vA8UKR2lAJtGEmAPJNvjpOfEVRbbNsK2qUY9XNEhJU0KVx/u2OfAkLapHJGWGSFOGYszz+hGOEXKWx2SD7ygu79Lf5FTWy+VihLNpXJKNSQmVoYoiEBLlu285xQmTfGMH/hyqbZWthgxypara8c2ib321UWlYigXVhXvdWIPCAxIjU1FSVVGHLDGXkmwymgC3GiLs+B1gGxEAKCgqkurpaYmJiTriPPcEyvwlGIQMKAxkrT58dhYwovJm43ZpHHnlE7r//fovMqKysLElJSVHTKnorfJDxuvE6fOEgu8VgkC35lbJkf6mU1zVZ3NZs6NrrW3+8RTYU1stFQ1MlM95703qp63xtnPhS5uOSnBJZlVspWiu4pIiuvT/NhiA5XNksR6pqZHxmrJzeL1EiQhiUshXHCDlbXnmdLD9QJvuKayQurFkGJXVtnEN1o0FWHK2XTYWNMjE7XiZkxUq4C8Y7xwmRbWMkJiFJtuRXqUyo0lrL/fmQwACJDQ+W6LDQro3DkBi1P+dNwRyU5pWUlEh6erokJXXhy498TmNjoyqTcycEoHBchIAUPpdtS/baVqJ1xG+CUVqvqN27d8uoUaMsekllZ2e32y8KpX24tIU3wNsPTvFl7O2vA9HZXQXVsnBvsRRWN1jcNiwtWoalR0t0aIrsyj+kknRtf1yRivpoaWxplLfX5snJfRJkWr9ECQny3nVF/jtOfMnugiqZu7PQIuiMqpvIsCQxyCEJsGecq3vHG382iKw9XCHb8qvk9P5JMj4rToLcUM7jjThGyFknmZbllMqS/cXSYhrWFfUxaqzacywZIAFywbCBsiq3Ru0vQE1jiyzeXyIrDpXJhKw4mdQrXqLDnLtLzHFC1D5s05fn1cvu7bkqC1IvISJEJmbHyZiexuBxfVO6LN29366SXXxvfL2jQdbm5cvlI9NVUMsbNDQ0qO+OqKgorwqikfOOewNMnwN3fx60zyQCpm2DY/YcM3nHSHSAKVOmqEymzz//3ByMQmTxyy+/lHPPPdfdi0ddkFNcIwv2FkleeWtPL+ifFCnTByZJj9jWqGxZdaYdzQ4DJDw0XVKjoyWvol79xfIDpbK7oFouGZEmPeOYJUXkahV1TfL9rkLZcbzKfB16v0ztl6gOJEODAmXz4QKbxzkOUNE7Yvrg/rLyUJksyymRhmaD1Da1yLxdhbLuSLmcPShZ+iVHOfmVEVFb5bWN8uXW43KwtNZ8XXRokAxJi5OYsB5SVZdv0wkmjPO02CzpkxSvLscr69X2fGt+pfrr+qYWWXagVFYdKpPJvRPk9P6JLM0ncrEDxTXy6eZ8qW207DPTLylSBaEGpERZjEs0IU+LtX2/HoGootoEaWwJkUOltfLGylwVkOqbFCnewt2BByJnfSa9MhhVU1Mj8+bNUz8fOnRIlc7Nnj1b/T516lSVgjl9+nR12759+8zpYii5e/LJJ9XtI0aMkNdff12Ki4vlwQcfdOvrIfs0tRjk2+3HZdNRy3rUrPhwmTEgSXonnrhx6ZsyVAoq81REuTPY4I3LHimn9o+TFQdLZfG+Emk2GFTm1X9XH5ZT+iSqA2B3NEEl8sfsiLW55Sr7sb65dUe1b1KEnD8kVZKiQrs0zrER7ZsyRGU7ntY3UUb3iFXB7c2m75WCqgZ5f/1RGZQSJWcPTpbEyK6VBRCRfRBw/mbbcRUYVmNVRE7rlyhT+yaqbMXKulBZlXNMfTfYOs41aTFhctnIdBV0QlBqU16l2r43thjk55wSKaiql8tGpEtoMDNhiZwN2+o1ueXyw+5Cc/Yjerlhe4wy2pTo9re79mzvgwIDZVDaMCmoaVAZWNUNzfL+ujw5Y0CSnNIngQFoIjcKMNgyij3MwYMHpU+fPlZvW7x4sUybNk1dcD9cNHipzz//vApCoQH56NGj5eWXX5bJkyfb/NwIfMXFxakme97eMwp1nmiG503lRziL+dmmfNU7QpMWHSrTByTJwJSOU1iLqvJlY+5y9TmwdiYFZ1Dx92OyT5Hk6Azz9TiTOmfbccmvaM3ASo8JlUuGp0t6rPc1QiTfHye+AgeGX207bpH9GBUapDKWRmTEWB3vXR3nmiNldSoD60h56wQVYUGBcu24HtIrwXo5tz/jGCFHaWhukR92Fcr6I8ZZiyEuPFgFj9qOve6Oc33G5S8HS2VNbpn5YLhHbJhcM7aHxDiwbI/jhOjEE8tzdxTIhrzW8Z4dEyRXjs2S6HDb+uHY+z1Q09AsX2w9JvuKWo8hBqZEqv35yFDP7BWJXscHDhxQx7329OGxpr6pTkqqC6S5pVGCAkMkMSpVZZl5Mxzv43j+73//u8Me86233pJPP/1UfvzxR/E0BoNBmpqaJDg4+IR94KKiIhk6dKhs2LBBMjMz3frZtCde4pXBKHdiMMp9qhua5MP1R1XpHCAz6fyhKTKqR6zNZzUq68okp3CnHK84bLHh0lL5cQY1JtzYQ6btLH0o41maU2LeYUVi1Bn9jWdVmD7rm3gA4T5HK+rk/bV55uwIGNszVs4cmNzpTmNXx7kGGRco4/lpT5FU1jebG6dePSaDZXtt1xUDtuQAxyrqZfaWYxa9H4emRcuFw1LbnVCgu+Ncb39RtXy6+Zg64aUFwa4d20NlUjkCxwlRq6r6Jvl0U77klrWe9JnSO15GxDZJelqaXSf/7P0ewPYdWZBL9pWY7x0fESyzRmV4ZBsORwSjjOtoxwlljcZ1lKmyzGz9rrTHTTfdJO+99576GT2F0KP5hhtukEcffVQFUzwxGIX13bdvX9XW5+STTxZ3e++99+TNN99UyTaPPfaYqgzLyclRgZ4ZM2aoJJsePXqY749qL0zOhoCatwSjvLJMj/xPWW2jSqktrmlUv4cHB6ozl/ZmKuDLdlTWZKlvGiOl1QXS1NIowYEhktDJ2QGUBkzrnySDUqNkztbjcryqQQWlFuwtVn1mkJlFRM4JRCVHhcgFQ9Okd2KEU8e5BsFtBLkHp0bLZ5vz1VlUlPF8uCFfZo1OV9cTkWOsP1Iuc3cUqnI5rUznnMEpKvjc0Yme7o5zPfSGu3VCpny44agq48HlrTVH5MpR6QxAEznQ0fI6+XhTvspK1E4sXzQsVYanR6tMdHvZ+z2A7fu0fkmSFRcus7ccl5rGZimrbZK3Vh+Rc4akqFl1fekEc0fZY/gdASqUO3aWRdpVZ599trzzzjtqRnsEUu6++24VmELrHE+Etj8InnhCIAq+/vprufDCC1WLImQ8ISA1bNgwqayslPvuu0/dtm7dOtHcfPPNMm7cOHnxxRclMTFRvAHrTsjjoUwOvZq0QFRMWJDcMiGzWyUz2EClx2VLZkI/9b+tO64ZseHyq8nZcmrfBPN1OMOCCxE5Zkf1PV0gKjs+XH41KdvmQJQjxnnr3weqbKghqcYm5jhYxtlcZE0RUfdtPloh32wvMAei0mPC5NeTsmVcZpzNB4TdHecaZEHdPilLlekBsqQ+2HBUBcuIqPuw7USQVwtExYYFq/35kT263/bE3u8BBKDvmJwlmaZsKHwHfbejQL7eXmBTPzpvgIwoBKJaDC3tNnrH9bgd98P9HQ0z0qenp0uvXr3kzjvvVNk833zzjboNASpk8vTs2VPNzDZx4kRZsmSJ+W/R1/nqq69Wt0dGRqp+zx9//HGHzzd37lyVkfPhhx+q3/F4EyZMUI8fHx+vgkzoKd2eTz75RC644AKL67Ccv/3tb+WPf/yjvPTSS+rxTzvtNNm7d2+XM8awfbN2uemmmywyj1AqiIATnvOnn36SWbNmyaBBg2TSpEny2muvyfr16yU3N9f8NwhUIVNqzpw54i0YjCKPhlkv3l5zxFwqgwyJ2yZmOSx1vitwFmfGgGR15laD5sorD5W6bZmIfEEeAlHr8qTOFIjqlRAu143rqYJC7hIcGChXjMqQkRkx6ndkRH6x5Zhs4AEqUbfsKaxWPeE0J2XFye2TMjtsWuxs6BN180mZauICbbwjWLZgT5HPHKASucOS/cWqFBe9orRJh341OcutpXFxESFy84RMmZTdWqK2Ma9C5u8qsqkxuqdDaZ6trwP3Q7mjs0VEREhDg7Ec+ze/+Y2sXLlSBYC2bNkiV1xxhcqk0oI8CMYgywcBpm3btsmvfvUruf7662XNmjVWH/ujjz5SwSsEoq699lrVW+niiy9Wk5vh8fFceIyOTnQsX75cxo8fb3Hdn/70J/XYWL7nnntO7r//fhXwmTlzpjQ2GhMlli1bJtHR0R1etADZK6+8ol4nAkv5+fnqgp9xHW7TLFy4UAXiBg8ebHVZUQKH14Igmx6Cb1geb8EyPfJYuwqq5PPNrRuunnFhcu3YnqqBsSfAdPJNLS3y055i9fsPu4okJDBQxmfFuXvRiLwyEPV+m0AUxrs7A1H6Mt1LRqSp8iE0V8Y3Es6eokQX3wNEZP+JJmQZaj0Ysd08b0iKR5THYCa9q8ZkqAPSVbnGTIFlB0qlrK5JLh2Rxpm3iOy07nC5mplaM6ZnrOr5ipM97oYTzCjPy4wPly+3YpZOUeM+NiJYTu7dWgXhbdCsvG2PqI4YS/YOq3JHZzQ1R7ALwZX58+fLPffco7J5UL6H/7WeR8iS+uGHH9T1zz77rArE6Ge8x9/h7z/77DMVcNH75z//qTKXvv32WxV80voWIWBz/vnnS79+/dR1Q4a0zq7aVllZmbq/vgcT/Otf/5I//OEPqjdVSUmJjBo1Sm699VbJyspSvZzOOussFcDatGlTh+sgLS1N/Y8sJ2SMITCXnp6ursPPyMDCbW1L9KxBoA7LhOBb255MWP6NGzeKt2AwijzSprwKdcZU+wrtnxQps0ZneMSBqd4pfRKlsdkgS/YbN7JI8cUBK/rNEFFXA1ERqnmwJ4139Jm4YGiqhAYFyspDxgNUzLqHGcBO6+sddflEnuBYZb18tOGo+UTTsPRojwlE6cc7DlATIkPUDH8GU4kRyorOGpTs7sUj8hr7i2tk7s7WXlBnDkxSQR5PGu+AGXrxnaRla/64u0iNd1zvjTBrnq2BKA3uj75bKHN0lO+++05lBSGDCBM5XHPNNfLkk0+q8rnm5mYZOHCgxf0RkElKMvbhxe0ISiH4lJeXpzKqcDtK9tr2eUK/sV9++UVOOukk8/XomYSyN2QwnXnmmapEEBlIGRnWe2PV1taq//XNuNEMHAEolMXpYbY6LCeaiWvBpP79+4sjg3fffvuteu1tYV1eddVV6j4IlLWFZUGPKW/hOXv6RCYHS2rl6+2tgSiUx1ztYQemetP6JapZQADLjAbn24+xpwyRrwSiNNh5njkoWab2S7Qo0V24t8ity0XkLUpqGuR/uvHeLylSLh2R7rHZRsh8RJYUZs+FXw6Wqj5XRNS5gqp6+UyXATm5V7w6ietpgSh9xtbp/Vu373O2HpMDxd5zUK/X3GIsH7MXGsA70umnn64yhlB6h2APZodD/6aqqioJCgpSPY9wu3bZuXOnuVQNTbjxMzKAkIGE2xFY0sr8NGPGjJGUlBR5++23TyhLRJYVyvOmTJkin376qQp+rVq1yuqyIriEzyYCUBosY3sQLEOgzd4yPVusWbNGlRliudsGopANhb5X6CFlbaY6BM+wPrwFM6PIo5TXNqrZq7QNF3pInDskxWN3VAFfXGcNTFYZUmsPl6uAFOriQ4ICZaCp7wQReXcgSj/ez+ifJKFBAeYS3Z9zSiUhIkTGZrJEl6g9lfVN8v66o1LVYOwBicbBV43OUGUyngyzZ549OEXm7SxUv6OHVGJkiGTFd30SFSJfV1XfpGan1Lbv6MPmDVmFU/smqgbrKMlvNoia+Q8zbbqzV21XBAWGdOnvMBOhIyHwZC1jCAEkBHOQ0XTqqada/VtkOl100UVy3XXXqd+RWbVnzx4ZOnSoxf1QgvfXv/5Vpk2bpoJHaOzd9rlwwQx+kydPVv2f2mY6QWhoqHrsHTt2qNI7QLAHZW+rV69WTcs1Bw4cUGV9WtmfPWV61gS0Oc5Fid55551nEQxDIOrKK6+Uffv2qeCclkHWFvprYV14C8/d4ye/09jconpIVJt2VHHG1NMDUfovESwrzqoAgml4LUhPJqITYWdPv6OKQNR1Hh6I0sPZXf0kBnN3Fkp+RZ1bl4nIU9U2NquMqNJa41n31OhQFXhGfyZvMCErTk35Dijl+WRjvpTXOTaDgMiX9uc/3pgvZbXGWfMyYsLkspGemwHZdn/+vCGp5pPJalbN9UfVyXJvkhiVKgFi3/rG/ROiUsUVkKGEJuM33HCDfPnllyq4g2wgNAhHw3IYMGCAyv5ZsWKFypj69a9/LcePH2/38RCg+eKLL+S+++5T1+ExEYBCZhQyiTAzHTK0OuobhcwrNDHXQ8Pyv/zlL6rnFaA0D+V/CKKhwbq+TK+jS0xM+yWfMTExankPHz6sfseMg/p+UQhEXX755bJu3TqVXYZA3rFjx9RFnymG8jxkm2nBNG/gHXsB5POQVol+S3kV9er3hIhgudxLNlwaLOuFw1JleHq0eYf1441HVZoyEbVqbjHI7C2tgWc1a54XHZjqS3iQvamNdwSgcdBNRK3QVw09oo5XGXeY48OD5fpxPSXSQyYjsf2EU6r0TjBmQyG7CwfbeG1E1AqzTqJdxZFy48kZ9F26xotONGmTllwxMl1NnAQV9U3ywYajXrV9RxPytNhMmwNSuF9abJZTmpe3ByV0CEY98MADMmjQIDXz3dq1ayU729iz6rHHHpOxY8eqABEyfdDsG/dpDx5j0aJF8vHHH6vHRG+pXbt2yWWXXaaCVZhJ7+6771ZBrfagMfm8efNUI3MNgls333yzmk0PEOBC8AkZVo5y0UUXqYDZOeecI/v371fZT3jdGvTMQoDqyJEjqi8WsrXQ+woXBOv0GVVYf+1lm3miAIMvzF3pQujMj073+JBaq9P0Fkh1RGpkamqqBHrAbBarc8vMKfBoAH7bxCxJ97KUWP2BNkoNdxVUm88A/2pSlirbI+/iaePEVyzYWyTLcow1+bHhwXLH5GyPmSXTXphR8+3VR8yBdJxNvVr1mPGeQHp3cIxQR7CL+cmm1u0hxjlKXpKiQr1yxSGA/uaqXCk1ZXyg+ToOWjvrgcNxQv64fUc5+y0TsiQjtvP9eU8cIyg1fGv1ESkxZUUhGH39+B4unQUQs6YhY6ZPnz4WjbVtUVlXJqtyfpIWQ+dB88CAQJnU90yJCecMwQg6IQiGoFNb+K6fM2dOh0Gx7vrb3/4mCxYsUEExa9tU9JIKDg62ut1B+eG9996rGsW787NpT7zEM0Y7ib83LMdsNZqLhqV5bSBKO6OCrC4EoaCgqkHm72aDYyLYW1ht3lFFqxgcyHlrIAqwU4qZPiNDjJvTPbrXR+TvVueWmwNRyIy4flwPrw1EAb6rkOWBg2zYfqxKlua0TllP5M825pWbt38YIVeMyrApEOWposOC5bpxPcz7KAdLa1XWl7fkcSCwNCb7FBVoai9DCtfjdtyPgSgxN07XGpO7Q2ZmptVAWGeKiork0ksvVQ3OvQmDUeRW6Lmgb1iO6V69dRpVPWRBXTEqXUJMjVnR2HwHZ9gjP4fx/uXW1nr/6QOSJdtU9uLN4iNCVD8MbVdv8b5i2V9kPAAn8lfHK+vlpz2tJ2IQeM6IdV0JiLOkRoepE06t472E23fye5h1Ds39NWj67wuT+CB4fs2YHqpqA7Ydq5J1R1pLuDxdcnSGynhCCV7bgJRWmofbcT8y6t27t9xzzz1uWx2zZs3qUpldcnKy/P73v/fY2Srbw9n0yL0Nyze29o3pmxQh0wdYnxnAW3dYsTH+dodx4/z19gLpEReuDlyJ/LJP1OZjUmPquYCd1Cm9fScdvH9ylEzrn6gOTI0zah6XOyZnSRzHO/np9h2zyqKXmtZfbYAPHJhqBqVGy4yBSeYZNb/cdlwSIkO9OguEqDszZX6qO7E8MTtOjXlfkRkfrgLQ6BMHqHbokxgpyV6S5YmMp1FZk6W+aYyUVhdIU0ujmjUPzcpd2SPKF3hLVpw3YWYUuW0wY/Yprc9KfESwXDEyQ5W4+ZJxmbEyLM2Y6olZw77YckwdlBP5m0X7iiW3zNjQNC48WC4ZnuZzfZVO65soA5Ij1c8Iun22GQfjbHBM/mfBnmJVog5p0aEyw4dONGmQyT2qhzGTu7HZOGFJjenkGpE/7c8jI6q20bitwzYQJ2J9zeDUaBlvmrAE4/3Lrd63P4/AU3pctmQm9FP/MxBFnoDBKHILlK1tzKtQP6OU7erRPbxqZh1bIVXygmGpavYgwMH4kv3sL0H+BX2Ulh/Q9Ykale6T4x3BtUtHpKvgOmA2ofm72C+O/K8v3KrcMvVzcGCAKmH1xQk81PZ9aKpkxhkzC8rrmuSH3a39L4n8waajlWobD+itdMkI75oJ2x4zByZLYqSxuiGvvF6WHeD+PFF3+d7eAXm8wjYNvS8anibpPpzaHhESJJePwsbZ+PuynBLJKa5x92IRuUR5LfpEHTP/PmNgsmTFe3+fqPYgyHbl6Ax1EA5rDpfLlqPGwDuRr8PsU19ta+0Ld9bAZEnz4glJOoMg26zR6RJumrZ+s+7AnMgftu/f6yYgunBYqldPSNKZ0OBAuXREmrnz0tL9JZJXbsz4JqKuYTCKXKpFpfMeb+0jkR3vEw3LO4OD7zP6G8sU8MpxcF7dYJwamshXIYX98y3HzOn7g9Anyof6SLSnR2y4nDuktUzhmx0FUlxtLFki8uVyHfRGrDKVqqFcZ0K2sazFl8WFh8jMQcnm37GPU2vqjUfky+P9q+3Hpb7JuH1HySpK2fxhfx4l+YBDGezPNzSzHJ+oqxiMIpeX52l9YxIjQmT6QN/rI9Gek/skqCbtUFnfrM4esxEe+bKFe4vlsGm8o1T14uFpXjfLR1eNy4yTMT1jzf0lMJEBxzv5+vZdX67jT+MdY71/UqR5+67P/iby1fGeU1yrfo4NC5ZzfLBPVHum9kuUHqaKjqLqRlmgmzWUiOzDYBS5TFmt5Rc20nlDfbCPRGf9ZLQU5j2FNbLqkLGvBpGvOVJWJysOGvtEYUbkK0Zl+GSfqI5g51zrF3egpFaV8BD5Q/k9AlHRYf4zYTOCbtinCTPt06AnJnpnEfmikppG+Um3P3/R8FTVksJfYLIl7M9r5firc8tlfxHHO1FX+E8kgNwKGQHIDGhoNphnmetjOovoT2LCjLOIabAxP15pnFGQyJfK877dcVyVpMIZA5LU1Mj+Jiw4UM4fmmr+Hc2N0VOHyJdgxsjZWzBzpHHET8iKk4EpUeJv4iJC5Cx9ud6OAqljuR75YLuNr7Yds9if75/sf+M9JTpUzhzYOt7nbDvu8bNpNleWSfXGFVK1aqH6H7/7o5tuukkuvvhihz/u9ddfL88++6z4gjfeeEMuuOAClzwXg1HkElvyK2VfkbFpd0xYkGpq6q8GoG9Ob2PfHGzLv2P5DvkYzKR1rNLYIyk9JlQm90oQfx7vI9KNfTTQO4vlO+SL5bjHTCdVUqJCLQIy/gYH5lo5fkVdk/zI8h3yMcjoP1RqKr+PCJaZg/ynPK8t9MTrpyvPnbuzQDxRw9FcKXr/75L35B1S/P7fpeTTf6v/8Tuux+3OyBbt6PLkk0+KL9m8ebPMmzdP7r33XvFUp59+uvz3v/9Vy3r11VdLVlaWREREyJAhQ+SVV16xuO8tt9wiGzZskGXLljl9uRiMIqdDJoB+tg1MhRzuR+m81qCZuTY9LHposXyHfKkcd/G+YvUzEtgvGJqmUtr92dmDUyTCNNuWMTDPdH7yDZhJauVB49n1oIAAuXxkupphzl/hIOuiYWkSitpkEVl/pEL2c/Zc8qFyXASf9eW4yAD2V2i/gXWgzaa57ViVbM33rHL82l2b5NjLj0jN5lUiLW0arbe0qOtxO+7nSPn5+ebL3//+d4mNjbW47sEHH7Sonmlq8u6s8VdffVWuuOIKiY72zCb+JSUl8ssvv6hsp/Xr10tqaqp88MEHsn37dvnjH/8ojzzyiLz22mvm+4eGhso111wj//jHP5y+bP77DUIug0CUNpvW8PRoGeQHs210Bjvr5+lm20K2hKen9xLZYt7OQtWwG8ZnxflleV5b6J0zc3BrtogqWTbNQETkzeU6yARoLcdNlHRTU19/Ft+mXO/rba0zjhF5c/n9nG2t5bgTs+OlT6L/tdtoKzY82KIcH9UOlR5Sjo+Mp8K3XhRBoKdtIEqD65ua1P0cmSGVnp5uvsTFxalAvfb7rl27JCYmRr7//nsZN26chIWFyfLly6W+vl5lFiFQEh4eLqeccoqsXbvW/JjvvvuuxMdbzsj81VdfnTBRxp///Gf1GHiO2267TR5++GEZPXr0Ccv40ksvSUZGhiQlJcndd98tjY2N5ttef/11GTBggFqOtLQ0ufzyy9t9rc3NzTJ79uwTytry8vLUdVhG/D3Ww4033ihVVVVdWqfWdJR9tmTJEvP95s6dK2PHjlWvBVlPyISaOnWq9O3bV6677jq5+eab5csvv7R4bCz7N998I7W1xokKnIXBKHKqXQVV6kwBRIYE+tVsG51Bjf2wNGNgrqaxWRbu5Wwc5N12Hq+S3aamvdGhQTJ9gP/MltmZ0T1ipU+isXynrLZJFu9vPbtM5I3QpDuvvLU8z5/Lca3NpqmN9/K6JlmgyyYh8ka/HCw1j/ekyBCZ4UezYXdmREaMuRy/rqnForm7O1Us+FKkBSe6tVMG7TGo+1UsmCOuhCDR888/Lzt37pSRI0fK73//e/niiy/kvffeUyVi/fv3l5kzZ6qsHlt9+OGH8swzz8gLL7ygMoCys7PlX//61wn3W7x4sezfv1/9j+dDoAsXWLdunQqKPf3007J792754Ycf5LTTTmv3Obds2SLl5eUyfvx4i+uvuuoqKSwsVEEo7XWtWbNG7rjjDvN9nn32WZVN1dElN7f9ICGWD/D4WtYZvPPOOzJlyhTz/RBUuuiii9p9HCx/YmKixXV4PchYW716tTgTg1HkNGjciTMEGgSi/Gl2HVvLd/Tp/JiBjMgb4cz/PF05Lsa7P82u0xmcpUKJsjb7DkqbjlZwvJN3Qiavfnbc84am+H05btvyHX253jps3ys9I1uCyF7F1Q2yZJ8xIIBP9CUj8NnmIaTeOUNSzeX4aL2RW+rcbJLOoDm51dK89qiSvZXSXFkuroJgz5lnnin9+vVT2VEIGr344otyzjnnyNChQ+XNN99UPY3eeustu8rlbr31VpXpM3DgQHn88cdlxIgRJ9wvISFBlaUNHjxYzj//fDnvvPNk4cKF6jYEf6KiotT1vXr1kjFjxnTYC+rQoUMSFBSksrE0W7duVdleKHMLDDR+LqZNmyaPPfaYfPrpp1JTY+yjfMcdd8imTZs6vPTo0aPd59aeE4EkLfMMkEGGUjtAxhkCahdeeKHVx1ixYoVapl/96lcW10dGRqpAGl6fM/GbhJwGjTvR0A8GJEeqMwd0Ynrv6f2NZ5dw3gLBO6RCE3mbRfuKVcNe6J8UKcNMZwmpVVJUqEztZzzzhFH+zTaOd/JOC/cVS42p/B4ZASzXOVGCyh5pLddbcqROGppZrkfeB60kmg3GfdPJveMlK96Y9UetokKD5HRdNjhOzqGU2V3q9u2wPRClaWmRun3bxVX0mUTIUkKZ3Mknn2y+LiQkRCZMmKAyp2yFTCH8jV7b32HYsGEqgKRBuV5BgTGBAgEyBKFQwoYZ8pBtpQWPrEEZG4Jp+nLBffv2SXBwsHqN6ImlGTVqlMo20rKdEhMTVQZYRxc8DiBIh9JDBNKGDx9u8zpZtGiRClrhNbe1bds2lTH1xBNPyFlnnXXC7QgGdvTaHYHBKHKKA8U1KtMHcGYQ9dRta3pJzHX3adHG6HV+Zb2sPey6sxJEjoAMn9WHjE2MkflzHsd7u07unSCpuvGOmQeJvK1p+XrTdgrb97P8eDatzpyUFSe9E4wH7pUNBvnF1OydyFtgwg2t/B6zYU/rx/K89ozPjGvdn6+olw2m4yB3MNTXuvTvugLZR/ZAhpE+sAP6Pk/2QKBLD8eoLabgHQI+KBP8+OOPVZAK2VUIIpWVWf/+Tk5OVgGbhgbjLNKgD3S17S8FWqPzZ+0o08NMeBs3blR9tNADylYo0bOWFbVjxw6ZPn26yohCxpY1KJFMSXHuNp7BKHK4ppYW+UZXnnfmwGTV0JOsw0xj+uaHyDDxlOaHRJ3Bmb9vt7c2MUbmjzZTJFkf7yjf0ULzmHmwtKZrO1NE7m5aPq1/ksrwpfbL9S4YlirahKIrDpapGUeJvAEy9X/YVWSxP+/Ps+fZsn0/d0jr/jx6wbprcqKAsAiX/l13oVQPZWWY8U0faELgBSV7gKBIZWWlVFe3zkiMMja9QYMGWTQ9h7a/2wLZSDNmzJC//OUvqifUwYMHVYaRNVpzdAR3NEOGDFEZUOhbpYcgF2YW7Nmzp91lej179jRnSyFzyxYI3n377bcn9IvCLHqnn366aqiOHlvWIFutrq5OlSk6k1d+o6ALP1LoEFFFbSQanumjke3p3bu31W7zWNHkOKsPlUuJ6eAqOz5czahFHctOiJAxPWPNvXeQEk3kDdbmlsvRitYmxlN6s4lxZzDD4IRs4/ciZh5EeW7bs31E3tC0fFK25cxGdKLkqFCZYNoPwkxk+l5bRJ5szeEyKaw2Hl9lxoWz3YYNeidGmJuZo5QZJ5zcIbz/UKQS2fdHgYES3v/EUi5XwDH9nXfeKQ899JDqb4TAzu23364yjtADCiZOnKj6GD366KMqUPLRRx+Zm45r7rnnHtVjCs3C9+7dq2bWQzDJnuqc7777TvV6QiAI/ZLef/99lTWFQJc1CJJhpjr0iNJgJj70nPrNb36jlgN+/vlnlYH029/+1rw8iXaU6dkKmV3IoELgDsEwrEPMTKgvzUMgCmV5999/vxw7dkxd0Gxdb9myZapUEYFCZ/K6YFRpaamcccYZKviEKQiR3vaf//xHrUxbYGrFlStXWlxQ50mOUd3QJEtzWpscolwHZwapczjjFBFiHJJb8yslp9i5NbpE3YUeUQt1s0QhA0Br0E0dmz4g2ZxRsq+4RnYcd9xUv0QuaVo+hE3LbTW1b4KEm5qZbz1W5fbmxkS27M9rTcu1SUm4P28blC5rkxeg9cYx0wk7VwqKiZfIUZNsD0gFBkrkqMkSFOO+BALMrHfZZZepPk0I7qDv0vz581WPJC1w88EHH8i8efNUU3KU0T355JMWj3HttdfKI488Ig8++KB6jAMHDshNN90k4eHhNi8Hmn8jxoB4AzKc3njjDfVc1nouaW677TbVW0oPM9ohqwkBMsDrQoZSeyVxjoJ1gPjIv//9b/n666/l3HPPtQhozZ49WwWesC5RhqhdTjrpJIvHwWtGQNDZAgxedjr2ueeeU+lkqJ/UpiBEMOquu+5S13XUcR6ZUYhSont+V1VUVKjO8pgCEWl23goRXjRqQ0Mzrcu/I+AMv9bzaGzPWLloeJrDHtsfrD9SLt9sN5Y4JkeFyJ1TsiXYge8PecY48RWfbso3B1E43u23q6BKPt5onIY3MSJE7j6ll9cF8zhG/Me3OwpknWn7Pjw9Wq4YleHuRfKqcbJ4xxH5Oc94UNozNkxum5TFg3vyWN9uP65mgYTRPWLkkhHGWbqcxde2JctySmSB6WRdr4RwufmkzC71zkX1DgIqffr0sSugAg1Hc+XYy4+INKH1R0eH+wGoS5P03z0noT2yxdegmgqVVP/73/+c9hxoYo7MKcxKN3nyZIvblixZojKRkFCDQFd3GAwGVf6H4JItn6eRI0eq4NesWbPseh6U8SEYt2fPHhX3sPezaU+8xOtG+/fff69qOLVAFGAF40vsxx9/dOuy+buCqnoVTAGcEThDN6sE2QalelnxxgFdVN2o+ksQeaKDJa3ZPJhFBpl9ZJ9BKVHSJ9HYn6GktlHWspk5eaijbZqWz2TTcrsNSQoxT16QV1GvMqCJPBGab+snIdLPCkm2wayDSab+mYdK62TbMddnPyOwlHLrQyrQ1G6GFK4PDlb384VAFErS/va3v6lgCtr6YJa4BQsWqN5IzoRZ51DOV1TkOWXYDQ0NKtMMs/DZKz8/X72e9gJRjuR1wSh8sAYPHmxxHaKMSC/DbZ1BCh3K8tCdHmlrW7dudeLS+pcfdxdJiynwfkqfRIkJY1NTeyEF+vwhqebmxkv3l0gpm52SBzYxxnjXzBiQJJGh1mcOofbhrNbMQckW47220T3NTok6Gu/f6ZuW92PT8q5u32cObD1J99OeItUjksiTIPPi+12FFpOScH/efqhqOHtw6yxk83cXumW8RwwerTKeUIJ3QkDKVJqH23E/X9mvQhnfaaedJuPGjVPNu7/44guVyOJs06ZNkwsuuEA8RWhoqArGoYeUvbC+Zs6cKa7gddGC9lLcUE+K6Qc7gmkN0fwsOztbcnJyVLkfGnqhyRcadFlTX1+vLvq0M0AmljYFpDfCsmOD46jXsL+4RvYWGXscoQ/KpOxYr14/7pQaHaKaG6/OLVfNThfuKZJLR7Dc0RfGia/AGT6c2Qec6R+ZEc111EVppvW3Ob9KaptaZMm+YhWg8hYcI74P05O3Ni0PkQlZ3L53dZz0TgiXQSmRsruwRirrm2V5Tomc3r8105/I3bYfq5JDpp5mKB9H831X7AP54rakf1KEDEyOlD1FxvG+dH+xOnnXlfWiXboiJCNLkq6/V+IvvlHq9++QlroaCQyPlLB+Q809orysa0+7UC72008/nXC9O1/f1KlTzZ9rRyyHwfQY7n7PtM+ktZiIPePY64JR3YHO+JpTTz1VdZFHltVLL70kr7/+ers9qp566qkTrkfjL2+ehQ8fEtRx4kPU3dpsnDWdt6e12fZJqcFSWuw5aYreaFisQTYHBUhds0E1Ox0U0yIpkcw88eZx4ktTPf+4u3Va3ZNSgqSozQwcZJ+R8QbZdkyk2YDZi8qlX2STxIZ5x+eNY8S31Tcb5Kc9reN9cnqwFBdxvHdnnIxNCpC9Rdh3EvnlYKlkhzdITKh3jHfybY0tBvlhV+t4n5gWLCUuGu++ui0ZnxwgmFAP433loTLJDm+UeDu2742NjWrdoE8QLt0SESWhw1ubVCOU0e3HJJcyGAzS3GzMoO9KDzJHwmcHn83i4mIJCTGWpGowk5/PBqOQAYUvK2sZU/o+UrZAaR8yozDtYXvQkV8/Ux8yo7KystQ0jt7ewBwfYryO7n7po668pK7K3JTz5IE93D5AfMHUhjKZv8fY/HBDsUGu753q7kXyO44cJ75i1aEyqWwwjve+iREyrl8Gx3s3YWRPqSuWZQfK1A7rplKRy0d6x3jnGPFtC/cVq5MiMCwtWsb0ZZZud8dJemCgTKwtkpWHylUAelNJgFzmJeOdfNuS/SVS1Wgc7/2SIuSk/q7bvvvqtkRt3+uLZblp+76uyCDXjLF9vCPxAQf2QUFBFjOikX8LaRP8cQd8JjFWk5KSTmhgbk+zfa/7VCOTqW1vKASn0GirbS8pR0B/KVzawsr39i9LfOl393XUNTXL4v2t5ZGoj8aHk7pvQq94WX24XMpqmySnpFYOlNRKv+QorlovHCe+Av2Mfj5Qqn7G7ulZg5I53h3k1L5JsiGvUqobmmX78WqZXFEvWfHG5uaejmPEN1XUNcnqQ8aTf0EBAXLmoGR+DzponEztlySbj1ZJTWOzbDteJRPL4yU7wTvGO/mmstrWSXMwqes5g1Ndvn331W3J1L5JsiW/Sn2noqUJ9un727g/j2NQrBfM1hYZGen0ZSXPz4wKMAWI3Z34gc8klgGf0bZj1p4x7HXBKHSEf/bZZ6WsrMzcO+rzzz9XLxpld/Y4evSoLF++XK6//nonLa3vW5ZTqg6etLOm3JlybPPD6f2T5Iutx9XvP+0plj5JkZwKmtw63msbjXXgI3vESEasfdMMU/vCggNV75jvdhhLIubvLpJbJ3RtKmgiR0B/E5TtwElZcZIQ4f4zsb4iIiRIzhjQOt7RMPr2SVncvpPboKG+Nt4nZMdLimnmR+q+0OBAOWtgsszeckz9vmBPsfS1cX8eAUEc7xYUFKjfEZDifoF/B6OamppUlpy7PgdYBsxaiM8kPpvdDVp3ORi1c+dOWbdunRw+fFhuueUWSU9Pl3379klaWlqXurbb6o477pBXX31VLr74Ynn00UclLy9PHnroIXV9jx49zPebPn26HDp0SC0TfPzxx/Ldd9+pGfRwPzQwRz8orMAHHnjAacvryzDLG0p2tLOmnPrV8YZnxMiKQ2Vqmt38ynrZll8pI3t4b3koefdZ09W5xvEeHBggZ/S3rwkndW5szziViVJY3SCHy+pkx/EqGZbuvO0pUXuKqhtkQ55xwpawoEA5rV8CV5YTxvva3HI5XtUgRyvqZcvRShndk9t3cr3DZbVqYhKIDAmSaf3YVN/RhqVHy4qDYWqsY39+x7EqtY9vCxxjgxaQIv9lMDUMRxKOu4OSCERpn02XBqMQCbvtttvks88+UysBK+Tss89WC4P+Sn369JG//OUv4syeUQsXLpR77rlHBaQQ+MLyYGY8PTT30jdlw3IhE+q+++4zZ1WdccYZ8vTTT6vbyH4L9hSp2d5gUq94SYzkWVNHw1mTMwcmy/vr8sz9O4amR6usKSJXWri32DzeJ2bHSzyzJBwuKDBAlT5+uOGoORtyUGoUxzu5ZbybhrtM6RMvUaFel0jvFeMdrQ3eM23fF+wtkiFp0SpLksjV412DDF1k7pHj9+cxk97764+a9+cx3vE90Bkcb6PPcWpqqmpoTv6rxdQwHH2a3FnOip5VjirjtXvv4sEHH5RFixbJvHnz1Ix0UVGtNa/IOnr55ZedGoyCIUOGyIIFCzq8z5IlSyx+nzRpkixevNipy+XPZ1FO68uzps7SLylSXfYX16j+UTiTOrk31ze5Tn5FnWzJN86MERESKKdyvDvNgORI1RgePSWQfbomt1ymcLyTCx0xZeVBdGiQTO7F7Y2zoFRnUEqU7C6sVlO/I9t8KrNSyIWwb4mepJAYESLjMuO4/p043vskRqj1XVLTqLJPUQJtKxz8sy+vf2tpaVGBIDQI95Xeana/itmzZ8sLL7yg+jOFhlrWE/fu3VsOHjzoyOUjD00R/GFXkcVZlHCeRXEqZEdpfs4pkbpGY58uIleM9x93t473qX151tSZcAb0rEEpqkE8/Ly/RGpMffmIXDHekaGjQWCEmTrOhWxILTlixUH05eN4J9eN94V7LPfnbcnUoa5v32cMSLboy9fQbOzDSeSv7A5GVVVVqVRBa6qrqx2xTOThdhVUy5HyOvVzSlQoz6K4QEZsmIw01ZbXNLbIctOMZkTOts808wuggfFJ2caJI8i5431UD+N4r21qUQFoIpdnSUQyS8IVkqNCZbSpF2RdU4v8wu07uXB/Pq+iXv2cFh1qcw8j6rrM+HAZkmqsKkI25GpT710if2V3MGrkyJHyxRdfWL1t7ty5Mn78eEcsF3moFoNBFu1rrS2fMTCJZ1Fc5IwBSapRPCCVH1PEEjl7vP+oO2uKfgdoXk6uGe8hpnW9JrdMSmoauNrJ6eMdfco0mM2VWRKugQw08/Y9t0wq67l9J+ePd32vqOkDkjibowu379qeFE4uMxuS/Jndwaj/+7//k7feekuuv/56FXxCyuGaNWvUjHZvv/22/PGPf3TOkpJH2H6sSgqqjAdFPePCVK8Dcg1kpUzINtaWY/rdxbqgIJEzbD5a0TreY8PUbDDkGnHhIebecM0GkSX7mR1FzoXZWo9V1puz8zBZBrkGJoQYb+od09hskGU5zH4m58LsjZi5FbLiw2Ug9+ddJjU6zDxzJrIhWe1A/szuYNR5550nn3zyiSxfvlzNZod647vuuks+/fRT+fDDD2X69OnOWVJyu+Y2AZDpA5LdPq2kvzmtb6KEm2ba2ZiHQIHxwIHI0RqbW2TR3tYAiOpjxPHuUif3iVcN480HDqbAIJGjYabMRftKLPoUYvYnch1MBBMSZFzn6w6XS1ktZ80i52hqabHYn0fWM7fvrjVNlw2JUj1WO5C/6lIb9ssvv1wOHDggu3btUkGpHTt2SG5urrqefDtLorjGuHPUOyFCzfhErhUZGiSn9DFmS2DW7QW6kgoiR1p7uFwqTKUiyIDszfHucuHBQXJy79bxvng/xzs5x/rD5Wr2RuibFKFmcCXXig4LlkmmnnzNBoMsZTYkOcn6wxVSZmr1gLHeO5Hj3R3ZkPpqh6XsDUl+qltzAg4cOFCmTJkigwcPdtwSkceeRdGXiah6Z541dYtJveIlNixY/YzpoA+VGpvNEjlKgy5tPMDUS4LcY2J2vESFBpnLpLUyKiJHqW9qsTgQOlM32xO51sl9EszZz5uOVkiRqYyKyJHbd/2kGMiKIvc4tW+ChAUZx/uGI+VSzPFOfsh4RNuJp59+2q4Hffzxx7u6POSh1h+pkHLTWZT+yZHSK4FZUe4SEhSopt/9enuB+h2p1jedlOm25SHfszq3TKobjNOLo09UWkyYuxfJb4UGB8qpfRLkh91F5vF+9Zge7l4s8iErDpaax/vw9GjpERfu7kXyWxEhQTKld4KaKKbFYBzvV4yyPoM1UVegQX6VabwPTeN4d6eo0GCZ0jteFu8vUeMd457jnfyNTcGol19+2eL3hoYGqa01ZmOEh4dLXV2d+jkiIkLCwsIYjPIxDc0t8rMuKwoz7JB7jeoRqzJXUDaJabgPFNdIH5ZVkAPUNTXLLwdbs6Km9eN4dzc0NsZ7gmmg1VTc5XXSkwEDcoDqhiYVjAJM3ngGt+8ekf2snRDYdqxKTu1TL+mxPCFA3YdZ237RZT1zvLsfJipZc7jcPN5P6VMnGbE8IUD+w6YyvdLSUvPlp59+krS0NDWjXnl5udTU1Kj///vf/6rr58+f7/ylJpf3jtHOogxJjeJZUw+A6bbR/FCDXjKYTICou1YfKpfaxhb184iMGEmJDuVK9YBsSExeoMHZUyJH+OVAmTRgukYRGZcZJ0lRHO/uFmbKhtRwvJOj4CQmZm8DzObG7btnjHf99n3BXm7fyb/Y3TPqN7/5jTz00ENy8803S0xMjLoO/99yyy3ywAMPyN133+2M5SQ39pJYntN6FuV0njX1GMMzYiQ5KkT9fKi0TnJK2DuKun/WVJ8loQ94knuNzYyT+HBjMvO+ohrJZa846qaq+iZZc7hM/RwcGGBxQETuz4aMDW/tDXm4jNt36p7K+iY1axtgFjdu3z3H+KxYi+37wZIady8SkecGozZv3ix9+vSxelu/fv1k27Ztjlgu8hCrDpVJTaOpl0RGDHvHeBBMu326roQKvSWYHUXdsfJQmfmsKUpBmSXhORAsmKoLDjJbgroLpZ+NuqwoLfhBnpENOVUXHFzIbAnqJrTbwKxtWrATs7mRZwgORC9Y/f58a2sUIl9ndzCqd+/e8sYbb5xw0IvfX3/9denVq5cjl488KEvidGZJeJyh6dGSaiqjOlxWJ/uLeTaFuqamoVlWHSwzj3f9gRB5BgQIEyONBxBarziirmZJrM0tNwc6MasTeZYxPWMlMaJ1vOdwvFMXldY2yvojxvEeGoQsSI53T4O2CEmm7fvB0lo5wOwo8hN2B6Oef/55mTt3rgwYMEB+97vfyXPPPaf+x+/ff/+9up1856ypubacWRIemx01rU22BLOjqCsQeK5vNo73sT1jJcG0U0Se2yuO4526Ck2M9VkSMWHMivLE8Y6Zc/XZUdy+U1csyykRUxKkapAfzfHukeNdn/2M7CiOd/IHdgejLrroIlm7dq2MHz9evv76a3n66afV//gd1+N28o1eEq215WLxBUmeZUhatKSZsqPyyutlbxGzJcj+GbUwe5PWS4K9YzyXaipvajKdW1an+ksQ2Z0VddiYJRESGCCn6Jplk2dBewQt+/lIeZ3sKax29yKRF2ZFbcyrMDfLntyL491TDU9vzY46VForB9kLlvyA3cEoGD16tHzyySeSk5MjtbW16n/8juvJd2bcMM+ww9pyz+8dZVFrzrOn1J3xHitx7CXh4eOd2VHUdZiUpIlZUV4z3s/Qb9/3M1uC7M+KMg13mZQdL5GhQVyFXjNTNsc7+b4uBaPIt1XUtZ415Qw73mFwapRkxISpn49W1KvZd4i61DumD7MgvSkbkuOd7N2+rzP1jmFWlPds39NN2/f8inpmR1GXs6JQokfeNFM2ekdxJk3ybXY3CTjjjDM6vc+iRYu6ujzkIVkS2lnTCdnsJeENAkzZEh9tzDdnRw1MiVJnVYk6y5LQesecpJtOnDw8W2JAknxsGu+L9nK8k22WHygxb99Pyo5j7xgv2b4jW+KTTcbxvmR/idq+43qijjAryju375hA5outx9XvS/YXS5/ECI538ll2Z0bFxsZKXFycxaWlpUXWrVsn+/btk/h4Rt29/aypNuNGSFCAnNybteXeAjunPWKNZ0+PVTbIrgJmR1HHyusaW7Mkgtg7xpsMSomSnqbxfryqQXYer3L3IpFXbN+NWRLcvntvdhSyIdkbkjpTxqwoH8mOqmN2FPk0u0+Bf/XVV1avLyoqkgsvvFCuuuoqRywXuXGGHfNZ0yyeNfUmAabeEh9sOGrOjsIOLLOjqD3LdL1jJmRxhh3vy4ZsHe/IlkD5Hsc7dZQlwfHuG9lR2L4PSI5ktgS162f2ivLymbKTZPaWY+bxzuwo8lUO6xmVnJwsv//97+Wxxx5z1EOSG3rH6HtJMCvK+/RPjpTMuHD1c0FVg+xgtgR1cNZ0g2m8hyILkjNqef1438XxTu0or200Z0VxvHunQSo7qrVXHLOjqD3MivJ+w9KjLWbOzWHvKPJRDm1g3tzcLMeOGaO45N1ZUeOZFeXVvaM0S/ZhFhXTNCpEbXrDmSbQU01NozjDjtdmS2iQHcXxTtYsU+Nd6wXJ8e61vWT6tc6st4Qz51I7mBXlK+Ndvz/PmbLJN9ldprdhw4YTrmtoaJCdO3fKU089JRMmTHDUspELVSErSjeDHrMkvFe/pEjJjg9XZ1IKqxtk+7EqGZER4+7FIg/rFbVBlyUxuRd7w3lzdhR6R+VV1KveUbsLqlW5HlG7WZDsBem1UHqPmTQx1jHm9xXVyICUKHcvFnkQZkX5VnbU0v2hal9ey47CPj6RXwejxo8ff0KNusF0tm3ixIny5ptvOm7pyGV+Odg6oxayomLCOKOWt/eSeW9dnvp96f4StUFjLxmyzIoyfW9nx0sks6K8Ozuqf5J8qOsdhQNWzrRF+l5RWhbkxF4c797fSyZRPt1s6iWzv1gFpDneScOsKN/LjtL3jurLmfXIx9gdcVi8ePEJ14WHh0tmZqb07NnTUctFLs6KWpvbmhV1CnvHeD00OtRnR6F31PB0ZkeRcUYti6woZkl4PTQyxkya6CNzrLJedhdWy+BUZkdRmyyJoECZwixIrzc4Lbo1O6qc2VHUillRvp0ddRjZUcU10i+Z2ZDkxz2j+vTpI1OmTJGpU6eaL8iIQiCqqalJcnNznbOk5DQrDpaZs6LGZTIryhd7ySA7ir1kSMuKap0xk71jfGW8W/SW2F9izlgm/8asKD/oJcPxTrrxbtq8yyRmPftUNqRmMcc7+ZguBaM2btxo9bbNmzer28l7VDc0y5rDZepnZkX5lr5JkZIVz5m2yHLGzPXajJlBATKldzxXj48YlBIlGTFh6uf8inrZU1jt7kUiD5hBT58VNbkXx7uvQF+41GjjTFtHyutkf3GNuxeJ3IxZUb5rqG5mPWRHcbyTXwejOjrbWl9fL2Fhxp1h8g4rD5VJo6mZxNjMWIkNZ68on8qW6MuZtsj6jJknccZMn8LsKLI+g57x5wm94tgbzoezJZgdRfosSGZF+eB418+Uzewo8iE2RR527dolO3bsMP++ZMkSOXLkiMV96urq5OOPP5a+ffs6fimtLM8999wjK1askJiYGLnhhhvkz3/+s4SGGqPGHQXSXnjhBXn99delsLBQRo8eLS+//LJMmjRJ/FFtU4usOVylfg4KYK8oX8SZtqjdGTPZK8rnoHF5ekyoHKtsUP2j9hbVyEDOtOWXTugNx15RPpsdVVDVYM6W6M9eMn6JWVG+b2iaMTtK6x11oKRWVUAQ+UUw6tNPP5WnnnrKfPb14Ycftnq/+Ph4effdd8WZSktL5YwzzpABAwbIl19+KXl5eXL//fdLTU2NvPbaax3+LQJRTzzxhDz//PMycuRI+ec//ylnnXWWbNq0ySVBNE+zubDRIisqLjzE3YtETp5pC72jONOWf2o7Y2Y0Z8z00eyoJPl0U776fcn+YtXcnDNt+Z/lB5AlYRzvE7LZG86Xe0d9bppZD9kSmPad492/syA5Q65/zKyH7TsmK+J4J78IRt13331y0003qcwiBG0QBBozZozFfZCVlJ6e7vRB8cYbb0hFRYXMmTNHEhONKYtonH7XXXfJo48+Kj169LD6d8jceu655+SBBx6Q3/3ud+q6U089VQYOHCgvvfSSypbyJzUNzbKtqEH9HBQgcipn0POLmbbyK429ZAZxpi3/mzFTlxXFGTN9F4LN+pm2mC3hr73hjFlR7A3nX9kSnGnLT3vDmXpBsjec78+st2R/iBRVN8qh0jo5WForfRKZHUV+0DMqLi5OevXqJb1795YDBw7Iueeeq37XXzIyMlwSnf3+++9lxowZ5kAUzJo1S1paWuTHH39s9+9Q0ocgFu6rD6BdeumlMm/ePPE3q3Ixg57x5zGZcRIXwawoX8VeMqTvDccZM30bZ9oiyxkz4yQqlL0gfRV7RxHGO3vD+dH2Xd8Ldl+JW5eHyBFs2kMpKSlRJXiBgYGqR1NVlbHPUHv0gSJn9Iu65ZZbLK7DsiEYhts6+jsYPHiwxfVDhgyR3Nxcqa2tlYiICKtN2XHRIKAFuH9IiDGAg/WCnxsbG1VQTBMUFCTBwcHS0NBg0fgd1+G2ttfjMfBY+ufTrkdAAffXQzANf4/n1UMTeSyH/nr8Pe7f3NwslbX1siqnSLD1CkSWRK849di4TeNtrwnZcW2vx3V8Tcb3Izs6UFIjRAqqm1WG1PY8Yzo/36eOP3v4zOG6tp8lb/rsVdc3yaqcQuN4DxAZlx6uloHjybPeJ0d+7/WJDZKkMIMUVzfJ4ZIm2VdULdmxIU55TbgvHhfbRNzurNfki++TM15TfUuAsTdcU6MEBQbI2LRw8/6Kt74mX3ifkJ2P5dfGiSNf08DkcPN4zy1qlF35pTIoPZ7vkx989tAbbl1uiUhAkARLs4xJNY53b3xNuE0bI7jOl94nR372BidHSEJEsJRW1srBwkbZnV8i2fERXv2afPF9ctZramlpUY+J/z35NWnfQw4LRqWkpMjKlStlwoQJkpyc3GkGlH7FOKNnFIJPbSUkJKigWUd/hzc6PDz8hL/DCsTt1oJRKO3T+mXp/f3vfzc/FgJcU6dOlaVLl1oExMaNGyfjx4+XuXPnWjR8P+2001QQ7LPPPlPPq0HGWVZWlrz99tsWb+gVV1wh0dHR8s4771gsw80336wCg59//rnFBwXBusOHD1tkfOF1Iits586d8vPPP6vrcNgQmZwh9WMS5Jd162T9+vXm+3vra4LMzEw577zzZB1f0wnvk/SdIJLaX7765H/SXG1M6+b71PFn75JLLlEB6x9++MErP3srDpRIy+qvzWmwb23iePLE98kZ33t4zw0p/WRBdJgk5K2R3bt3O/w1XXbZZWqn580333TJa/LF98mRr6n3xBnSFJAqARvniKG5SV5f4/2vyRfeJ/ReLSsrc9prKl06z/wd/8XOOLntuqv4PvnJZ8/Qc7hI1kiJ3L9MXlt11Cdeky++T458TSPiwmT5YuOyf7LON16TL75PznpNaWlpcuGFF8qGDRs89jXZEwsKMOhDYe1477335Pzzz5ekpCTVoLyzYNSNN94ozoI37E9/+tMJTdSHDx8uU6ZMkf/85z9W/+6ZZ55Rf4ezU3qzZ89WKxeN0K31m7KWGYU36NixYxIbG+txkUhboqsVNfWyOrdMNuZVyC0TekpafIxHR1f9PQruqNeE/99ef0wKa5pFmhvlylFp5lpzb31Nzn6f8PwY8/ju88bMqOaAIPn7soPS2NCksqJ+PTlL4sKDfe59Ar4my/epxWCQt9YckeLaZpHAYLl6ZLL0ig93SmZUUVGRKudnZpR7x1N1Q5P8a3W+NBkCJKilSe6YnCkxpokKOJ7cnxmFWZxxQtfRmVFYjvqGBvnv6iNSUtMkEiBy44RekhUX6rLPnrbs/C533fYJveH+tfKItEiAhAQHy10TMyQiJNBr3yfchm0Jxggzozp+n/B2vrZsv5Rh+y4i145Ll34pcdw38oN92JaWFikuLlYxC/zsqa8Jx07oJV5eXm6Ol3QrGOVJUlNT5dZbb1UZS3o9e/aU66+/Xs2UZw0alN99990qbUyfHYWzub/+9a+lurraamZUW1i52Om2ZeV6MnxIjx47Lj3S0ywOIMi3bT9WKZ+ZZt7Jig+XWydkciaOTsZJQUGB+t7xxnGycG+x/JxTYp5B74Khqe5eJHKhrfmV5pl3eiWEy80nOX68e/sY8SU/7SlS/WO0GbXOHZLi7kUiF46TzUcr5Mutx9XPvRMi5OYJmVz/Puz7XYWy6pAx225K73iZOci7xzu3JfbZmFcuX20rUD+j7cYN43s65X0hz9LiJftc9sRLPPdVtAMpaG17Q+GF5ufnn9APqu3fgb5MAfBY2dnZNgWifA1m1SL/MiQtWlKjQ9XPmHnnQIntNb3kXWobm1UGJHDGTP+deSc5ytjbUM28w/Hus6obmmWNebxzxkx/NDw9RpIijeMds2xxvPsuZEWp3nDIVggMkJN7J7h7kcjFRmbEqt5RgFlzD5dxf568k009o0aMGGHz2VTcb/PmzeIs55xzjjz77LOq9l7rHYUaRUQHzzrrrHb/DiV8iMzhvqNGjVLXIZ3syy+/VLWRRP40E8fnpmyJJfuLpU9iBLOjfBDOmNY3GdN0R/eMlXjOmOm34/0LU7bE4v0l0kc3cQH5jpWHSqXBNKXW2MxYiQ3nDHr+Bg3rT+ubKHO2Gcf70v3F0juR2VG+aMXB1hkzkfUcbSrHJf8a76f2TZRvthuzo5buL5HrxjE7iryPTd9eaHzl6NT+rrrjjjvk1VdflYsvvlgeffRR1evpoYceUtfrez5Nnz5dDh06JPv27VO/ozTvkUcekSeffFI1ZEeADaV7qLt88MEH3fiKiFxrKLIl9odIUXWjOVuCB6i+lxWlpe8jAfLUPs6b4ZQ82/CMGFmaU2Ia77VyoKTG3CuOfEMNsqIOGbMkmAXp30ZgvO8vkZLaRskpqZXc0lrJTvC/zH9fVlXfJGtzy80VDif3YVaUvxrVI1aN9/K6JtlbVCN55XXSM85yoi4inwhGoWm5p0Bn+YULF8o999yjAlIxMTFy2223qQblem0bmMEf/vAH1WDrpZdeUo0kR48eLfPnz5e+ffu6+FUQeU62xBJmS/gcBKLqtKyoHrGSYCrdIP9zwnjfVyJ9JjAY5XNZkM3G8T6mZ6zEMQvSv7Oj+iWYe8lg+85eMr5lxcEyadSyojLjzJMUkP8JNmVHfbejdbxfO/bEybiIPFm3ekYhsIOgjqt7oGMawgULFkhNTY0cP35cXnzxRdXJXW/JkiVy8OBBi+uQ3YXsKEydiJlNVq1aJZMnT3bpshN5SraE1kvmoClbgnwzKwplG+TfMN4te8lwvPvUeM/VZUFyvPs99pLx7d5waw8bxzuzogjG9Iwxl2XvKayWoxWWs8YT+WQw6scff5STTz5ZNf3GtH34H78jy4iIvCdbQrN4X4nLg8rkHMyKIqvjvV/reMfZU/INK/W94XqwNxy19pLRIBuSfMPKg+wNR5aCAwPlVF2pJsr2iHw6GPXOO++oJuIhISEqI+njjz9W/wcHB6tG4G+//bZzlpSInJYdhV4ynHnH+zErimyZaQuzaHK8ez+Od2qPMTBpzJbYV1wjR8qYLeELveFaZ8jljJnUCuXZMWFB6uddBdWSX1HP1UO+G4x6+umn5aabblJlcOjbNGvWLPX/0qVL5YYbbpA//elPzllSInJudtT+YmZHeTlmRVFH2RKW2VHFXFk+0DtGnxXF3nBkkR2lm7iC4933ZsyMC2cvSDIKCQqUUzjeyV+CUQUFBXLVVVdZve3qq69WtxORN2ZH1amMCfJOzJIgW7KjEnXZUciIJC/OkjD1hsMMeqfpAo1EMBrN7E29ZLSZtsh7t++rdTNmnsIZ9KiNcZmW2VHsHUU+G4yaNGmSbNiwweptuH7ChAmOWC4iclF21LR+SebfF+9jdpS3YlYU2ZQdZdFLhtlR3mrFoVKLGfQSOIMeWZ1pq7WXDHvFeXkWpG68x3O8k5XsKItsSPaKIy9h93ygzz77rMqAwmx0F198saSmpqpsqDlz5sj777+vekiVlLQ2T0tM5Nk6Ik82LD1alu4PlcLqBsktM2ZH9U3i1O/ehFlRZKsRGTGqwWlJbaPkmLKjeiVEcAV62Yxa+qwozqBH7UHg4uecUqmoazLOtFVeJz3iwrnCvGy8rzpUqn7meKeOoHxz+UHjeN9dWK2yIXtyvJOvZUZNnjxZDh48KE899ZSMHTtWMjMz1f/oJYXrp0yZIikpKeYLEXnXTFvMjvI+zIoie7Kj9CVd7CXjfVZYzKgVxywJsnmmrcWcacvrcLyTPdlRp+myIbE/T96lpKbB7/r32p0ZhdnyAgICnLM0ROQR2VHImOjH7CivzIpilgR1ZmRGjPysZUcV10puaa1kMzvKK1Q3NMka3Yxa+jIsovayJZYdaM2Owsx6mfHMjvIGVfVN5hn02pZdElkzpmecLMsplfK6JtUr7nBZrWTFM/vZW7Ig/7UiV9JiwmT6gCTpk+gfVSp2B6Mwkx4R+WLvqET5fMsxcy+ZvokRDDx7YVaU1qCaqOPsqAT5aluBuZfMDeN7coV5gV8OlJmzotCwljNqkS3ZUegV9+0O43hftK+Y491LLD9QKo3m8R7H8U6dQtDyNN14X7yP23dv8csBY9bz4bI62Xasym+CUXaX6RGRbxqaHi0pUaHqZ5UdVVzj7kWiTjArirpqZEZr0+v9xTUqO4o8P0tizWF9lgR7cpJtjE3ug83jnTNpej5ksq09bJxBL4RZUWQHjnfvU4ntuy4LUl9u6evsDkY1NjbK888/L+PGjVPNy2NjY0+4EJH3Zkfpe0v4W92yt2FWFHUrO4q9JbzKLwf1WRKxEhtud3I7+fF418+cu3AvZ871dMsOlEhTi3G8n5QdJzFhHO9kx8y5bXrBkmf7OadEGrXxnuVfWZB2f7Pdddddata8Cy+8UM4++2wJDTVmUhCRj2RHmXpHIU0UZ1D7J0e5e7HICmZFUXeN6hGrektoM+shG5IzaXpuVtTa3HLzWdNTdFN4E9k6kyYOeIprGlVmFHtDeq7y2kZZf7hC/RwahPHuP1kS5Ljs55/3G7fvmCX7YEmN9PaTsi9vU6bGe7nfjne7g1FffvmlvPzyyyooRUQ+mB3VP1E+32zqHbW/RDUy56QFnmfFQfaKou6fPT29f6J8sfW4OVuiD3vFeW7vGNNZ0/GZccyKoi6O9ySZbeoNuWgve0N6KgQNm02Z6ROy4yUqlFlR1LXsqDnbjNv3RftK5OaT2AvWEy3dj/Fu/Hlir3iJ9rMsSLvL9KKjo6Vv377OWRoicruhadGSGm3MeNSyo8jzsiRWHSpVPwcFiGpWSdQVwzNizOP9SHmdmm2LPK+XxLrDuqwoP+olQY6fOVc/3jHbFnmW0tpG2ZBnzIoKCwqUk3tzvFPXsyGTTJPaIBsSGVLkWYqrG2TTUeN4Dw/2z/FudzDqgQcekH/+85/S3NzsnCUiIo/qHcXeEp4HpVWtM2rFSQJn0KNujPcz+lv2kmlhrziPzYpCLwn2jqHujHdkR2mQHcXekJ6XJWEa7jKpV7xEhga5e5HIq3vFWfaO4nj3LEt0431y73iJCPG/8W53Hti9994rR48elX79+slpp50m8fHxFrejnOeVV15x5DISkYsNSYuW9JhQOVbZIEcr6mXH8SoZlh7D98FDasvNM+wEBchpuh0Noq4YnBolPWPDJK+iXo5XNcj2Y1XqjCp5VlYUZtTyt14S5HhDUqMkIyZM8ivr1WVnQbXKiCbPyJLYrMuSwMEpUXezn3/OKVW9YLWZsvuxF6xHOF5ZL1vzK9XPkSGBMrmXf27f7c6M+vjjj+Wll16SvLw8WbhwoXz77bcnXIjI+8+eTh+QbJEt0ayF7sntZ1G0XhKTsuOZJUHdhpNI0wckWZw95Xj3nPGun1HL33pJkHPG+xltxjuzIT3D0hxmSZBjta12QO8oZkd5BpWpJkaYlCQs2O6wjE+w+1U//PDDcvnll0txcbEKSB04cMDikpOT45wlJSKXGpAcKb0SwtXPmH1Hq2km9ymsapBNebracmZJkINgFr3eCRHqZ453z1BU3SAbjrTOsOOPvSTIedv3zDjj9r3AlA1J7t++bzlqzJKICAlUJXpEjpopm73iPMvR8jqVlQoxYUHqZJO/sjsYVVJSIrfffrvExsY6Z4mIyGPOns7QZUct2Vcijc0tbl0mf7dIdxYFgSh/rC0n12RHoW9JUwvHuzuhn4+WkIpAFLOiyJnZUcyGdK8l+3Xb994JEh7M7Ts5qxdsEbMhPWB/XnNq30QJDfLPrCiw+5Wfe+65snLlSucsDRF5lOyECBmUEqV+rqhvkjW5xrP05J6zKOjdBdGhQapEj8jR4x0ZE1Beh15FzIZ0l7zyOtluGu9RoUEymVlR5GB9EyOkly4bUutdQu7pHaNlp2G8T+D2nZzQC7ZHbJj6Gf1gOd7dJ7e01jyTaXx4sIzL9O8EH7ubD9x6661y1113SU1NjcyYMeOEBuYwduxYRy0fEbkZsiUw3TvO2C3LKZGxmbHMyHGDBXtbz6KchrMoflpbTs4f79pO0s8Y7z1j+VlzMfTz+GlPkfn3qf38t5cEOTk7qn+SvLP2iDkzBxMXYAYucq0Fe4sssp453skZ2VFnDkyW99blmTNvMXFBiB9n5Lhr+44+vPrte3Cgf78Hdr/6s88+W/WFev7551Uw6qSTTjJfxo8fr/4nIt+RFhMmI3sYZ9aqbWqRFQdL3b1IfudASY3sLzadRYkIlnFZ/ltbTs6VERsuw0wza1U3NMuq3DKuchfDWD9QUqt+TogIkXGZHO/kHL0TI6RfkjEbsrS2STaYehKS6xworpE9hcbte2x4sEzg9p2c2Buyv2m8l9U1mWdmJtfBtv1gqXH7nhQZIqN6+HdWVJcyoxYvXtzh7WxgTuR7Tu+XJNvyK6XZILLyUJlKIY/hrE5uOYuC9yKYZ67JiU7vn6RKQnGm/pcDpXJSVhyzIV0Es5ot2FNskanG8U7OhOwo7WTHkn3FMjIjhpk5LhzvP+qyIKf3T2KmCjkVsqP2r8xV23dkP4/pyWoHt+3P909iJmpXMqOmTp16wmXYsGGybds2efTRR+W2225z8FtHRO6WEBki401n6xqbDfLz/hJ3L5LfQInk4bI69XNKVKg5S43IWVKiQ2WU6XNWx2xIl0LfmPzKevVzRkyYDEs3ZqkROUtmfLgq14GqhmYVgCbXwEm+oxXG8Z4ew+07OV96rK7aobFFlnO8u3R//ki5cX8esxty+27U5SJF9Iz68MMP5bzzzpOePXvKvffeK3V1dfLyyy939SGJyIOpPkVBxl4S646US0lNo7sXyS/OmurPoiBLAnX/RM42DWfsTB+1VYfKpKq+iSvdyZpaLMf7jIEc7+QaM9S2xfgzSvEr6jjenQ2zE+vH+1kDk7l9J5dlQwaZ9iWxfS+v5f68s2G2Un0WJN4D7s93IRjV3Nwsc+fOlWuvvVbS0tLkhhtukE2bNklTU5N8/PHHsn79ehWUIiLfg2nFJ/dKUD9junFMBU3OP2t6vKpB/dwzLkwGpxpnNiRyNvQqGmvqVdSAbMgcZkM62/oj5VJqOijoq+vlQ+RsSVGhMiHLOCFRowqKth40kXOsOVyu+vYAxnq/ZG7fyTXiI0JkYq8480mQxax2cDr05yqqNm7fs+PDuT9vbzDql19+kbvvvlsyMjLkggsukB9//FGuu+46WbJkiSrPQw1kenq6LQ9FRF5sSu94iQwxfm1gWthjpvRycs5ZlMX7WgMAMwYkq9mPiFwFs7yEmNIlsCNVaAqMkuPVN7XIUt0BwYyBHO/k+vEebpq1cfPRSsnn9t1pahqaze0OAkxZUUSudGqf1vG+Ka9CjpvKw8nxahub1WylmrMHp3B/3t5g1KmnnipvvPGGjBw5Ur777jvJz8+Xf/3rX+r6QDdMR/jtt9/KqFGjJDw8XAYOHCjvvPNOp39z8OBB9ca3vUyaNMkly0zkC8JDguTUvonqZzQ/XLiPZ0+dZd3hcikxZUn0SYxQs6AQuRImKcA041o25PzdhXwDnGTlwVI1eyGgj0TPuHCua3KpyNAgOa1f6/b9x92F6mQzOd6yAyWqHx+gPx/6+BC5eryfYtq+Y5Qv0JWMkmPhRBP6cwEmiOD23ZJNkaQRI0aoDdLSpUvllVdekY8++kgqKyvFHZYvXy6XXHKJTJ48Wb7//nu58sor5dZbb5XZs2fb9PfPPvusrFy50nx56623nL7MRL4EM2th+mHAdMSHTFOUkmPPmurLIJEVReQOCEZp431vUY3sLazmG+Fg6Mf1y0Fj02gkomFGLSJ3mJgdJwkRxvGeU1Krxjw5VmlNo6w+VK5+xkyZ6B1D5A6TesXr9uer5WAJ9+cdrbi6QdbklqmfkWmO/nzUhWDU5s2bVTneQw89JHv37pWbbrpJleXNmjVLvv76a5emmv3pT3+SiRMnqkyt008/Xf1+1VVXyeOPP27T3w8YMEBlQ2kXzARIRLYLCQqU001nT2H+rkLVaJscZ9G+YqnVnTXFbEdE7hAaFChn6nae5u8uUiWk5Dg/55SqvlwwLjNO9e8hcofgwEBVIqr5kePd4dCPq9m0z4RgQFxEiOOfhMjG/fkz+rfuz/+0p4jZkA6GdWravMuU3gkc71bYXGM3dOhQlVWUk5Mjy5YtUwEpZErhf0DG1M8//yzOVF9fL4sXL5YrrrjC4noEo3bu3KlK8YjI+Ub1iFXTkkJeRb1szKvganeQY5X1qkQPMHshs6LI3UZkxEimqWyssLpB9Y8ix8CspOsOm86aBgWovj1E7jQsLdpivG/g9t1h8srrZOuxKvVzJNoemMqkiDxhf/5IeZ3sOG78fFL3HSypkZ0Fxmzy6NAgc9sDstSlhk8nn3yy/POf/5SjR4+qHlLXXHON/PTTTypTqW/fvuIs+/fvl8bGRhk8eLDF9UOGDFH/79q1q9PHuPPOOyUoKEhSU1Pl9ttvl5ISzhBEZK+gwAA5d3CK+XdMT4wGfdQ9KIf+YVehqt+H0/ommlOoidwF2c/n6Mb7kn3FqpSUug99uLSzppN7xas+XUTuHu8zB7VmR6FkHA32qfvbd2SaWTSMDwniaiW3CgwIkDN12ZDYn2f2c/ehYuQH3XifPiBJwkwN48lSt/Z6ENQ599xz1aW2tla++uor+fjjj8VZSkuNPRXi443Tz2oSEoyRxo4CS2FhYSoQNXPmTPX3q1evlmeeeUbWrVsna9askZCQkHazsXDRVFQYM0BaWlrUxVth2bFh9ObXQO7VKyFchqZFyY7j1arx7qK9xXLOYN/qbeTqcYIzUgdMNfvo2zExK5ZjlDxCj9hQGZkRLVvyq1QJKQ5QMd65Lem6vUXVskt31nRKr3iOdx/lbeMkMy5MhqZGyY4C4/Z9WU6JRTkP2U/15DH12EyMCJFxPWO85vPgCt42RnxJv8RwtU9/qLROimsaZW1umUzIjnP3Ynm1TUcrzDOSpscY958c8dlu8ZJxYs/yOewUXEREhFx99dXqYo/y8nI1O19nuptxlZGRIa+//rr596lTp6p+Ueeff77MmTNH9b+y5rnnnpOnnnrqhOsLCwulrq5OvBU+JFj3+EC7Y0ZE8g1jE0X2FIg0GYxTv/eOaJSkCN850+fKcdLUgqyo1ubQE9OCpaSYsxWS5xgVb5Adx/FZNY73vpGNEhcawG1JF8f7d7t14z09RMpLON59lTfuc41OFNlVaJxJE7M99g5vkOhQ71h2z8ySaG0GPz41SIqLODupt48RXzIuOVAOGXM+1EzZqUG1EhnC96ErGpsNskC3fT8pJUiKCgv9apxU2jHRndvzwT///HNVLtcZ9ITSMqDwJljLmEpMtO+sDTK6oqKiZP369e0Gox555BG5//77LTKjsrKyJCUlRWJjY8Vb4cOMVGy8Dk/+MJNnSxWRUxtKZfH+ElVatqawRW4Yl+7SSQ18ZZygiXFlo7FWv29ihEzon+Ez65F8Z7yfUl8iS3JK1XhfVyRy9ehUbku6ON4rGozjvVd8uJw8sAfHuw/zxn0ujPeTaopkdW65OuG0pSxQLh6Oa8leCN6X1leZs84mDeB494Ux4kswsvdXFcjm/EpBFf6m0gCO9y5asr9EqvGlKSKDUiJlbL8Mvxsn4eHh3hOMuu2229TFFiiXQzkdekOh3E6j9Ypq20vKEVDeh0tb+AB48ofAFvgw+8LrIPdCQ75NRyultLZRDpbWya7CGhmWHuMzb4srxkl5XaMs103tfs6QFFUGTeRpTu6bKBuPVkp5XZPsK66R/SW1EsdtiV3wXbn8QOt4P29oKse7H/DGfa5p/ZJk89FKqWtqkS35lTK5d7xkxHJ2V3tU1jfJon2tbUTOGsTtuy+NEV9y1qBk2V1Yrcb75vwqGZsZJ70TI929WF6loq5JVhwsM2/fMd4d/XkO8IJxYs+yee6rsAJBITRJnz17tsX1n376qWpi3rt3b7seD83Xq6ur5aSTTnLwkhL519SwZ+t6RWHq9wY2O7XLT3uKVVovnJQVL6nRJwbAiTxBaFCgRbPTH/cUm6cpJ9tgkoJG1D6JyITseEmL4XgnzxQZGmSe4RGf2Lk7C1XJGdk33nFwD6N7xEivhAiuPvJI0WHBMmNgkvn373YUspm5nRbuLTJv37E/nxxlnKmQfCQYBf/3f/8nK1eulLvuukuWLFkiTzzxhHz00Ucn9HUKDg6WW2+91fz7Aw88IA899JB88cUXsnDhQtUL6tprr5Xx48fLxRdf7IZXQuQ7BqVESf9k49kTZEwsM531p87lltbK1nxjbTXq809nk1jycMPToyUr3pgdUVTdKDuKGt29SF5jb6Fl0/LTTQf6RJ4KjYyTIo2T/Bwuq5N1hy1bZVD79hVVy7ZjxvK8iJBAlSVB5MnGZcZJzzjjCZLC6gZZqTWSok7lldepShGICA6Uady++2Yw6pRTTpEvv/xSli9frkr1EIj673//K1dccYXF/Zqbm9VFM3ToUFm0aJHccsstcvbZZ8u///1vFaxCYAqBKyLq/tTvQaYWRysOlkpJDQ9QO4MzzPPQIdbkjAFJEsGpnskLxvvZuoOqtcfrpQZNJqhDjc0tMm9noUVJBKd2J08XHBgoFwxt7RW1YG+xKkWhzsc7Mks0MwclS1Qoy+/JswUGBMj5Q1IlQNf/qKyW+/OdaW4xyDfbC8y/I6MUmaXkg8EouPDCC2XLli2qh9TevXtVgKktdJl/9913zb8j8IRG5Wh+3tjYKAcPHpSXX37Zq5uQE3kSpKJO6pWgmxmOM8V0ZmNe69SvadGh6owUkTfIjA+XUT2MveHqm0UW7W/tiULWoY9EiWmnHtNoj8zwnd565Nv6JEXKmJ7G/eX6JgRVWw+6yLqlOSWqPxygNG90Dx5vkHfoERcuJ2Ub90fRQoL7853DSfhjlcb9+dToUDkpO97J75Lv8MpgFBF5JpwJiAkznglAE0SUpJB1dY3NsnBvsfn3c4ekqDNSRN5ixoBkCTGlQ64/UiEHSlqnLidLOChdllPS2rQcZ5453smLnDWwNbNnZ0G17DxuLD+jExVU1csKU7sCfEUis4zjnbzJ9P5JqpRcG+97uD/frqLqBpVBBtgjumhYmgRjQ082YTCKiBwmLNiyufH3uwpVlhSd6Mc9RVJtKm0alhbNGUvI68SGB8t0XY+zr7cVcPKCdrBpOXk7lJygHF8zd2eB1DWxPNda+f13OwrENCeJmnE4JZpNjMm7oIQcpaX68d7QbGzET5bj/Zvtx83HOpN6xavMcbIdg1FE5FAoPck2fREX1zTKyoNsfmitqSkySSA0KED1jiHyRhOy4iQjKsic/YN+MmSJTcvJlyYvGGCarKSyvlkW7uF4b2tTXoUcKq1TPydGhMhpfTlJAXmnERkx0ifROPtjWW2TLMvh/nxbmNBBG+8JESFyRv/W2QjJNgxGEZFDIRUdJWdagurifSVy3FRHTSK1jc0qg0SDQFR8hHGmIiJvHO/TssLNKemrc8vkUGmtuxfLYzS1tFhMUsCm5eTt4/28oanm8ty1h8vlcBnHu6a6oUllPWvOH5oiIUE81CIvHu9DUs2TE/1yoESVpJERGrv/pBvvFw5LldBgjnd7cY0RkcNlxIbL5N7G5n3NBoN8ufWYOigjY+liRb1xJqJ+SZEynk3LycvFhwXKGbpyva+2HWc6vwn6SGgziyJjlE3Lydvpz/6jMAUzSLEc32j+7iKpbTTu64xIj5Z+yVFufKeIug8lplP6GCcnQunp3B0FapIwf2cwleM2mOpxx/aMlb5JxqxRsg+DUUTkFNhZxYwScKyyQWVI+btdBVWy+Wilub/WRcPY1JR8w8TsOMkyleci+LKI5XpysKRWlpvKGlTTcjYxJh8xMTteesSGqZ8LqhrkF1Ozbn92oLjGvH0PDw6Umbr+WkTeDKWm8eHB6uecklrZmm/8nPszrIO9RcZJWzBxE9ttdB2DUUTkFEhNv2xEui69t9Svy3fQrBxnkDVoBBvH8jzyEZgJ8uLhrTPIrDpUJrl+PN5RjouMUO388en9kyQ9xnjwTuTtggIDVEmKNmHU0v3+Xb6DzO9vd7Ru32cMTJaYMOPBO5G3Cw0KVO03NHN3FqoSNX8ux0WVgwaljBEhxt6ZZD8Go4jIadJjw9RBGOCgDAdn/jr7DmYi0WbPG5QSJaN7xLh7kYgcKjkq1GK8o1yv0Q9n39HS98vrjOW4vRMi5BRTmQORT5Xj99LKdwzy7Xb/Ld9ZtLdETdgCyBAdlxnr7kUicqhBqdFqAgOoa2qR2VuOSbOfzpb9/c5CqTGV42I27CFpxvVCXcNgFBE5FaY11mbXw2wcP+xqbfbnL7blV8r2Y1Xq54iQQLmA5Xnko6b0jpfMuNbZNP2xPBelOttM4x3lOpeOSFOZY0S+Zlr/REmIMGYAHSytNc8S60/2FFbLL6ZZg5Epdv5QZIxxvJPvuWBoqsSbxvvhsjpZst//ZtPcXVAlW7X9+WDLjDHqGgajiMipsFN26Yh0CTXV623Mq5Cdx41f5P6gsr5JvtvZmr5//pBUpu+TT4/3i4Zj9h3jeF9xsFSOlBmnPfYHJTUNKgtSg1ImluOSL5fvIPii+WFXoRzzo9lzUaqEjG/NmQOTWY5LPis8JEiuGJlhLs9dllMqOcXGvkn+oK6xWb7b0Vqed/bgFIlmOW63MRhFRE6XEBlicfYAvZOqTDPK+TKDqXShVpfOOzyD5Xnk21KjUZ6b6HfleihZ+GILZhI0li6gFHdYOsc7+bb+yVEy3lSW1thikE835queaf4w3lGqpG3fB6dGyeRexlmEiXxVZny4xWyaCMaih5Jf7M/vKLCYDXsU2204BINRROQSo3vEqp01qGk0NvP29f4SKNfZXVitfo4KDVKzaRH5gym9E8yzbRVWN8hCP5hd7+ecEjlSbswCS4xAAJ7jnfwDMgS08V5S26gC0L6+fV+wt0iVKgFKlzCBQwDL88hP2m8gGAOV9c0yZ+txafHx8f7LwTJz+X1YENttOBKDUUTkEthJQ8kKgjKAIM2GvAqfTt+fp5ttA7X22msn8ofZtnBwps2mufJQmWw+6rvjHTMHYkYxQAnDZSPTJSyYu1jkP7PnzhqdoXoiwq6Call+wNhHyVf7xqw4WKZ+xnfcrFF47dy+k/+U418yIs28T7u3qEbNoOur9hdVy4I9rf1uLx2ZJgmcDdthuKdERC4TFRosFw2z7C+BHiu+pr6pRT7ZmK/+B6TycrYN8jdpMWEyc7Blee7hslrxxT4SX2w9pkoWYFq/JFXKQORPcHB22Yh00Vp3IxvygA/2k8GJJmSCaM4alCI9TZM2EPmLmLBgNTmHBsGao6bMYF9SUtMon29u3b5P7Zcog1M5e54jMRhFRC6fHlab9hi9VT7ddEzqmnynvwRSlb/YckzyTU1ckb5/ju6AnMifTMiKM/eTaWoxqCBteZ1xCnRfMXdnoZopFDBz6Kl9jdPdE/mbASlR6mANcPD2+ZZjUlHnO/1k8B2GA9Na04mmIalRMjE7zt2LReS2fnEn9zZu79AqEeNdOwnrCxrUieWj5vE+MCVKppm+38hxGIwiIpebOShF9VQBzLzz2aZjaifPF8zfVWTuE4Vp3a8b25Pp++TX5bnondQ7IUL9XtXQLB9vzJcGH2lovv5IuWzJr1Q/oywP5Xmc1p38GYJR/U39ZKobmuWzzfk+s31H9ofWFy4hIlguYp8o8nNnDEiSnlq/uJpGi9lkvRl63n29/bgcrzJWbyRFIvMzjdt3J2AwiohcDgdt14ztIRGmnir7i2vkm+3e3/B0dW6ZrMotM/eNuXJ0hqREh7p7sYjc3j8K/WRw8Ab5FfU+0eB45/EqNVumvi9cPPtIkJ9DMBZB2bhw43hHk++fdrf2W/FWuwqqVO87CAoIkCvYJ4pIggMD5PJRGaqptzZxD07SeLsVuobloUEBcvWYHhLOvnBOwWAUEbkFgjQISGFDpm3AFu7z3hm39hZWy/c7WxuWnz80Vfqazg4T+Ts0OsV4x04dbD9WJUtzjA2/vRF64WBady2cNqlXvIzIiHHzUhF5hsjQIHUyBkEbwEmaraYMQm9UWmPZJ2rmoGT2iSIySYwMkQt0/WC/21EgO44bAzne2rD8J33D8hHpPLHsRAxGEZHbZCdEqDOoWsPTZTmlsvaw983IoUoNN+ebD0xRQz8uk30kiPRSo8Pkct14X7yvxCt3WNGkFaWGWukRJijAwSkRtUJT73OG6CcwOC4FVcZeit7WsPy9dUekztQ3ZmhatExgnygiCzgZo/VPw6Zx9uZ82WNqWeFtgWf0vjI3LO+byAmInIzBKCJyK+zYna1r8D13R6FKh/cWlfVN8tGGo6oZu/Z6ZgxMcvdiEXnsBAbTB7SOjy+3HlNle96iqLpB/rf+qNQ3tzY0vWgY+0gQWYPJC0b3MGYMYhv5v3VHpdDUg8VbAlHvrD0ipaYJCpKjQtSMwOiFR0SWsC+vjXfsEn+6KV9yvGhGTTQs/xgNyxt1Dcv7s2G5szEYRURuhxIXbUYOhHRmbz7mFVPAY8OFQFS5abagnnFhcgkbHBJ16JQ+CTLSVNLW2GxQO39V9Z4/4xZmAXx/XZ7UNBpn/+yVEC6zRqWrnlhEdCIEbc4bmirpMcYGxxX1TSq44w0B6FJTIEqbKRMNjG86KZN9Y4g66BeHpv7D06PV78ge/mjjUckt9fz9+brGZrWs+obll3J/3iUYjCIij4BsohGmDVgjNmAbjqosBE/VYjDIF1uPyVHTTjWataLBYaipiSMRtX+AeuGwVBW8BQRz31uXp7IQPFVNQ7PK6tACz+kxoWq8h3C8E3UI28QbxveUDFNACjPsvbv2iEefcEIg6l1dIAoZUTdPyJSYMGNTdiJqPyCFHkuDU6PMJ5w+WH9U8kyzUHpqhcM7a/PkQInxOwm9La8ak8GZsF2ER01E5DEbsItHpEmfROMU8DWNLfLB+jyPzJhARhSyt3YVVJtnB7x2bA/uqBLZCEEcBHNiTQd3BVUN8uaqw6ofk6epb2qRDzbkSaEpOJ4YESLXjevJHVUiOyYwuPGknpIVH65+R/8lZBkeKKnxzEDUGstAFDKiGIgisg2yha8YlS79TJP4oKz9f+vyVH9VT1Nc3SBvrT5iXrbIkEC5cXym6nFJrsFgFBF5jODAQLlqdIakRYeq39Gn4a01rRsJT4DsDSzTdlPjZVTooFQnzXTWl4hsg4O7m07qqWbigaqGZnl77RGP6hnX1NKi+l7klRu/g2LCglSWBw9MiewTERIk14/raT7h1GDKmMBMtB4XiDJlQDIQRdSN/fkxGdIrwTjea00BaE/qGXe0ok7tz2PcaxUOt0zIkkxT0Jxcg8EoIvIo4SFBKusAGwUoqWmU/646LJvyKty9aHKwpFb+s+qwOTgWFmQMnvVPNqYjE5F9kqJC5baJWZJt2vlDSv8nG/Nl1aEyjzljut/UgDU8OFAdTCeYgmdEZB8ti3hgSqS5pwx6xu04Vun2VclAFJHjS3Qx3jPjws0lupiZEttWd0Nj9XfWHFHLBKnRoXLrxExJMZ0MJ9dhMIqIPE5seLDcfFKmZMSGmXtIzdl2XL7edlwaTbNYudraw2VqI6ptuJDNcfukLDU7GBF1r4QH2UZazzhMYvD9rkKZt7NA9WZzNYPBoILfb6zMNfeECwkMUDvVzIAk6n6J7pWje8iwtGjzrFufbT4mm4+674RTQVU9M6KInBSAvm5cD/MkBpX1zfLvlYdl/ZFyta11h23HKlVWpjYLNk6G3TIhU+LCeaLJHdiJj4g8ErIPbp2QqQ5K1x8x7qRuyKtQs/DMGp1hLu1pT3NlmdTt2yGG+loJCIuQ8P5DJSgm3u7laDYYZO7OQllnWgZAHTzq4VF2QESOOUC9dGS6JEQWy885peq61bnlqm/LZSPT1Q5tV9j7PYAZdb7bWShb81szNTCrzuUj06WH6ewuEXVPcGCAGtch24/LpqOVKgA9Z+txKa1plJP7JLhsYgCc3ML3zS8HSlRQDFiaR+RY2Fe+YXwPeXdtnuoPiR5S32wvkB3HquTC4akuDQKtzi2T73cWqu8cGJQSJZePSufkQ24UYHBXWNJLVVRUSFxcnJSXl0tsbKx4q5aWFikoKJDU1FQJDGSCHHk2ZCl8t6NAZUhp5TKYctVaVlLD0VypWPCl1GxehQ966w2BgRI5apLEzrhUQntk2/S8lXWN8uG6w5JfbcyGgsm94uXMgcmczp3ISduSjXnlakfVNNxVhuTVozMkLsL2HdaufA9gdq8vthxTveo0Y3rGyjmDU7ocDCMC7nNZh8xHHBiuOVxuvi4hIlhmDkpRs3Fh5k1bdOXkE8p0vt1RoFoBaFCqw55w7sEx4vvqmppl/q4idWJZg/15bGNH9YjpdLx35yQzSgMX7SuWbceqLLbvFwxN9ar9+RYvOX63J17idcGon376Sd555x1ZvXq15OTkyN133y2vvfaaTX+LFXL//ffLnDlzpLGxUWbOnCmvvvqqZGRk2Pz8DEYRuQf6NH22KV+KdTuOp/RJkDP6J5k3JLW7NknhWy+KtDRbHoBq8MUdGCQptz4kEYNHt/tczS0G1UR5/u4i81TuOJOLjdbont4bhCbylh0jHCiicThm3YKggAAZkxkrp/RO6LRnk73fAzggXpZTKkv2F5sDYNhBxngfnhHjsNdE/stbDiDcAYchi/eXyM/7S8zZCoBG52cPTjGX9zgq6Fzd0KS27ZuPtmY/YhcC+xOn9U10WVYWWeIY8R+YtODr7cdVyZ5mYEqUXDgs1erkIN05yVxR16S27RvzKszbdzi1T4JMH5Bkc8DbU7R4ybbEp4NRDzzwgPzwww8yceJEFVS69tprbQ5GnX322bJ9+3b561//KuHh4fLHP/5RgoKCZN26dRIcbFvFIoNRRO49q/L1tgLZYZrJDhIiQmR0zxgZEVgm1a8/LtKE4FFHX2sBIsHBkv6756zupKIkcG1uuVTUt2ZHRIcGqWnoOcMGket2jNDH5cP1R80zW2kHjSMyYtSBo7Wpl7HTeuzlR2z+Hmi+5XFZUhklB0trzbdg+nmUEOG7hcifDiDc6XhlvSrLP1DSOhZxmDguK06ddEJvue4EnXG4gwPSH/cUSW1j6/3RL+aCYamcyt3NOEb8S21jsxrv+qBwRHCgnDskRW3jtSBRV08y1zQ0y7IDJbImt1xNlKDB98iMAUkyNjNOvFGLl2xLfDoYhTdBW/m9e/eW888/36Zg1MqVK2XKlCkyf/58Oeuss9R1u3fvliFDhsgnn3wis2bNsun5GYwici98Za08VCY/7SmyOMsxbdMn0uf4dgk02NDgXJ1NmSzJN/xW/ZpfUaf606BPjH6jBemRgXLNuCyJi+QMG0Su3jHCDuXyA6VqAgGt2ShgNxVlPMhk0PdyKnr/7yeePW1HS0CgHEgfLktGXWl+zNP6JcrUvolelbZPns9bDiA8Yfu+q6BaZS5p061rmYrT+ieqsprw4CC7g85l1z4q6xpi5VBpncVjnjUoWT1moJdlR/gijhH/hCqEb7cXSJVpciCtb1v/pCgZ0FIsoe/+ya6TzIbUTFl5qFRWHCyTelNmNaDUfkrveJncK8Gry+5bvGRbYk+8xOsamHd1xX///fcSHx8vZ555pvm6QYMGyejRo2XevHk2B6OIyL1wtmRK7wSVvYD67wPFtRJWX2V7IApaWqR680o5uvcyWVtikNyyOsvnMKUMT8iKlaimSokJ97qvSiKfEBkapA4YT+2bIKsPlcmq3DKV1YDd0p0F1erSPylSeidGSFRjtSRtWiUBNn4P4Puiz7FtsmrweRIWF6+yoXolRDj9NRFR+9v3IWnR0j85UlYdKpOfc0pUEBrluj/sKlKX+IhgOXXDJ5LS3CwBHR6ggkFampul+Mc5csgUdAZkXpw9KFmirZQEEZHrDE6Nluz4CJm7s8Dcz6moulGKqsskfNPn0qe5WQJtGOeG5mbZ8tmHsnDkLKnRZT6ixcaE7Dg5tU+i2p8gz+M338K7du1Swae2taHIjMJtRORdsuIj5MbxmVJW2yh7ly6yPRBlEtDSIht+WSO5GSMszpSOzYyVk7Li1Wx9xjMQrSWBROS+2Xim9U+Syb0TZN2RcllxoNR8JnVfcY269MnfImfY+T2A741LYkql7ymjOJsOkYdA36ZT+yaqHo0L9hSpGfc0dWVlkpy7uUtB54j4BDl/aIr0T45y4tITkT0QJLpiVIYMS6+SFQdL5UhZnd0nmfF9gO+Flr5ni4RFq5J+ZD1O7Zfo0tn6yH5+E4wqLS1VmVFtJSQkSElJSbt/V19fry76tDPAQSou3grLjnRob34NRBAbFiSDY4PEOBm8fUKa6swpwROz4mRkRoyEmtJ3tTHOcULUPlePkZBAkcnZcXJSzxh1gPrLwTJzT6mQptZttT16hrVIcIDxtRA5A7clXRMVEigXDUuV8ZmxsvFopeorFbFnq90nn3D/q+LLJHPKSFWCy7HueThGaHBKpLrUNTZL7i9LuzTOM8sOSPioyTKtb4IkRRnba/jSeG/xkuMSe5bP7cEo1BLm5+d3er++fftKaKjre7Y899xz8tRTT51wfWFhodTVWZb2eBN8SLDu8YH25JpTIls01zd0aUVlJUfLoL4R0jM6SAIC6qWsxPJgluOEqGPuHCPZYSI9B4ZLYU2LSssPro8W2W7/41TUN0h1QYEzFpFI4bake5DXMCFJRJJCpblMpLW7jO1Ca0uluKiQn0gPxTFCejGNFV0a52ekigSlBUhzdZkUVPveOm3xkuP3ysrWbFaPD0Z9/vnncvvtt3d6v507d8rgwYO7/DzIgDp8+LDVjKnExMR2/+6RRx6R+++/3yIzKisrS1JSUjptyOXpH2aULOJ1ePKHmcgWzRGTJP+7921qWmwWGCiTTz9VgmLan1GD44SoY54wRjJM/zdnREn+0o/s/h5IHTu5w+8BIl8YJ76iJiVV2q9naF9cSppEpqY6YYnIEThGSK8muYvjPNW3x3mLl2xLwsNbJ5bx+GDUbbfdpi7OhkDWggULVCRR3zcK/aJGjGjtGdNWWFiYurSFD4AnfwhsgfXgC6+DKDAuUSJHTbJ5Fi1tNr2QuIRO78pxQuQdY8SZ3wNEvjJOvF3EwOHG6dztDDpHDBjOde/hOEZIw3Hu3ePEnmXz3FfhYOecc47Kglq4cKH5uj179sjGjRvl3HPPdeuyEVH3xc64VCQQM2V0NkVzgLpf7IxLuNqJfAy/B4h8W1BMvAo6q4CULUxBZ2Y/EnkPjnP/4XXBqEOHDsns2bPVpaamRvbv32/+XS84OFhuvfVW8++TJ0+WmTNnyi233KJKA7/99lu5/PLLZeTIkXLppZe64ZUQkSOF9siWlFsfwuBvfycV1wcHq/vh/kTkW/g9QOT7GHQm8n0c5/7B64JRixcvliuuuEJd0ET8hx9+MP+u19zcrC56n376qZx55pnyq1/9Sq655hoZMGCAzJs3TwWuiMj7RQweLem/e06dBT0hIGU6O4rbcT8i8k38HiDybQw6E/k+jnP/EGBAEyWyGRqYx8XFqU723t7AvKCgQFJTUz265pSoq5ory6Vu33Yx1NdKQFiEhPcfZneaPscJkXePEUd8DxD5+jjxVg1Hc6ViwRyp2bzSsoeU6eQTyvGZBe0dOEaoPRzn3jdO7ImXMBhlJ6zU+Ph4NTOftwejkFnm6d34idyJ44SIY4SI2xLP1lJVIU0Hd5uDzsG9B0lgtPfuo/sj7m9Rp58RjnPxlnGCYFRWVpaUlZWpoFRHWJ9mp8rKSvU/VjAREREREREREVnGTToLRjEzqgsRyaNHj0pMTIyaWtFbaRFLb8/wInImjhMijhEibkuInIv7W0S+M07QBQqBqB49enSawcXMKDthhWZmZoqvwAfZkz/MRJ6A44SIY4SI2xIi7m8RuVusFxy/d5YRpfHcYkMiIiIiIiIiIvI5DEYREREREREREZHLMBjlp8LCwuSJJ55Q/xMRxwkRtyVE3OcicgcelxD55zhhA3MiIiIiIiIiInIZZkYREREREREREZHLMBhFREREREREREQuw2AUERERERERERG5DINRfmbXrl1y5plnSlRUlKSnp8vvf/97aWhocPdiEbnEvn375I477pDRo0dLcHCwDB8+3Or93nrrLRk4cKCEh4fLqFGj5LvvvjvhPuXl5XLrrbdKYmKixMTEyOWXXy75+fkueBVEzvP555/LRRddJJmZmWo7gbHy9ttvi8FgsLgfxwj5s3nz5snUqVMlJSVFNZLt27ev3H///Wq7oPftt9+qbQi2JdimvPPOOyc8FvbBHnroIbVPhjGHfbTdu3e78NUQOV9VVZXargQEBMi6dessbuP2hPzVu+++q8ZE28vDDz/sN2OEwSg/UlpaKmeccYba8fnyyy/l2Weflf/85z9qB4rIH2zfvl3mzp0r/fv3l6FDh1q9zyeffCK33367XHnllfL999/L5MmT5ZJLLpFVq1ZZ3A+3//jjj/LGG2/Ihx9+qA4ezjnnHGlqanLRqyFyvL/97W8SGRkpf/3rX9WBND7TGA9PP/20+T4cI+TvSkpKZOLEier7f/78+Wo/6v3335crrrjCfJ/ly5erbQe2IdiWYJuBA4XZs2dbPNa9994rb775ptonw75ZfX29TJ8+/YTAFpE3+9Of/mR1/4jbEyKRH374QVauXGm+3H333f4zRgzkN5599llDVFSUobi42Hzdv//9b0NQUJAhLy/PrctG5ArNzc3mn2+88UbDsGHDTrjPwIEDDVdffbXFdZMnTzacc8455t9XrFiBNBHD/Pnzzdft2rXLEBAQYPj000+dtvxEzlZYWHjCdbfffrshNjbWPH44RohO9J///EdtF7T9qbPOOsswZcoUi/tg2zJkyBDz74cPH1b7YNgX02AfDftqL7zwAlcz+YSdO3eqz/Qbb7yhxsjatWvNt3F7Qv7snXfeUWPC2r6Xv4wRZkb5EURTZ8yYodL3NLNmzZKWlhYVSSXydYGBHX/l5eTkyJ49e9S40Lvqqqtk4cKF6oy1Npbi4+NVOYVm0KBBqqQJ5RtE3io5OfmE68aMGSMVFRVSXV3NMULUjqSkJPU/ss+xrVi8eLFFppS2Ldm5c6ccPHhQ/Y59L+yD6e+HfbSzzjqL2xLyGffcc49qkYD9JD3ucxF1zB/GCINRftYvavDgwRbX4YObkZGhbiPyd9o4aDtOhgwZog4wDhw4YL4fvuRR1932fhxL5GtQbtSzZ0/Vg4BjhKhVc3Oz1NXVyYYNG1Qp64UXXii9e/eW/fv3S2Njo9VtCWjjCP+npqZKQkLCCffjtoR8AcpSt27dKo8//vgJt3F7QmQ0bNgwCQoKUv0Hn3vuObVt8ZcxEuzuBSDX9oxC8Kkt7ASh/wGRv8MYgbbjRDtQ0MYJxxL5UyAK/QrQQwo4Roha9erVS/Ly8tTPZ599tnz00UccJ0QmNTU1qp8a+qHFxsaesF64PSF/l5GRIU899ZTqQYhA0jfffCOPPfaY2q689tprfjFGGIwiIiKiExw5ckQ1xDz99NNVk2UisoTyB5SvYnKMP//5z3LBBRfITz/9xNVEJKLGRFpamtx8881cH0RWzJw5U100KNGOiIiQl19+Wf74xz/6xTpjmZ4fQXTU2uwsiKbq+0gR+SvtTEPbcaKdmdDGCccS+bqysjI1Cwv64HzxxRfmfmscI0StRo4cqWY2uu222+Trr79WfaLmzJnDcUJ+79ChQyqjFlkf2KfCNqWqqkqtF/yPC7cnRCdCfyiU6W3atMkvxgiDUX4E9aZt60bxwc3Pzz+hFpXIH2njoO04we+hoaGqllu7H6ZMNRgMJ9yPY4m8XW1trZx//vlq+4CmmHFxcebbOEaI2g9MhYSEyL59+6Rfv37qZ2vbEv04wv/Hjx83H1jo78dtCXkz9LJBT5vzzjtPHSjjgsxBQLYtJlTi9oSoY/4wRhiM8iM4y71gwQJ1dkLz+eefqzPeSAsk8nf4Uh84cKAaF3qffvqpTJ8+XX3xa2MJBw+YyUKD2S42btwo5557rsuXm8hRmpqa1Fk5zPj1ww8/qMblehwjRNatXr1aNS3HGAkLC1MH3Gje3HZbgoayaHIO2PfCPhiyDzXYtmCWPW5LyJthFi9kCuovKD2CN954Q15//XVuT4isQJ9ONDPHTMZ+sc9lIL9RUlJiyMjIMEydOtUwf/58w9tvv22Ij4833H333e5eNCKXqK6uNnz++efqMm3aNENWVpb594KCAnWfjz76yBAQEGB4/PHHDYsXLzbccccdhuDgYMOKFSssHmvmzJnq7z/77DPDN998YxgxYoRh1KhRhsbGRr6b5LVuv/12nFYz/PWvfzWsXLnS4lJXV6fuwzFC/u6SSy4xPPPMM4Zvv/3WsGDBAjVe0tPTDSNHjjTU19er+yxbtswQFBRkuPPOO9W2BNsUbFuwzdD79a9/rfbFsE+GfTPso/Xs2dNQVlbmpldH5BwYB9i+rF271nwdtyfkz8466yzD888/b5g7d666YHuA7cR9993nN2OEwSg/s2PHDsP06dMNERERhtTUVMODDz5o3nEi8nUHDhxQO0LWLviC1/z3v/819O/f3xAaGqq+zHHA0RYOFG655RZ1EBEdHW249NJLDXl5eS5+RUSO1atXr3bHCMaPhmOE/Nlzzz1nGD16tCEmJsYQFRVlGDZsmOH//u//DOXl5Rb3+/rrr9U2BNsSbFPeeuutEx4LQd4HHnhA7ZNh32zGjBmGnTt3uvDVELkvGAXcnpC/uvfeew0DBgxQ3/1hYWFqe/HKK68YWlpa/GaMBOAfd2dnERERERERERGRf2DPKCIiIiIiIiIichkGo4iIiIiIiIiIyGUYjCIiIiIiIiIiIpdhMIqIiIiIiIiIiFyGwSgiIiIiIiIiInIZBqOIiIiIiIiIiMhlGIwiIiIiIiIiIiKXYTCKiIiIiIiIiIhchsEoIiIiIiIiIiJyGQajiIiIiIiIiIjIZRiMIiIiIiIiIiIil2EwioiIiIiIiIiIXIbBKCIiIiIiIiIichkGo4iIiIiIiIiIyGUYjCIiIiIiIiIiIpdhMIqIiIiIiIiIiFyGwSgiIiIiIiIiInIZBqOIiIiIiIiIiMhlGIwiIiIin3LTTTdJQECAuixZssTdi0N+7N133zV/Fp988kl3Lw4REZHHCHb3AhAREfkzHKA+9dRT7d4eFxcnZWVldj8u/ubvf/+7+rl3794qQOMJsEza6/GEg/ODBw9Knz59zL8bDAanPp873xe8VgRHYPTo0XLxxRe77Ll9BdbfzTfffML1UVFRMnDgQLnmmmvkt7/9rYSEhLhl+YiIiLwFg1FEREQ+CEEPLcg1depUjwpGHTp0yGOCUf70viAYpT33jTfeyGCUA1VXV8vGjRvVZf78+eoSGMgCBCIiovYwGEVEROQhzjnnHHn00UctrgsOdu2muqWlRRoaGiQ8PNylz0vkbZBd9uqrr0pjY6MsWLBAnn32WXU9fv7yyy/l8ssvd/ciEhEReSyesiEiIvIQqampcsopp1hcJk2apG6rr6+XoUOHqt4zKAHavHmz+e/OO+88c1+ajz/+WGXb6EvPli5dar592rRp5qwk7bq3335b/vznP0uvXr3UY69atUpletx5550yfvx4SUtLk9DQUFUyOHnyZHnrrbesLv8PP/wg5557rqSkpKj79+zZUx2QIxNK652jZUWB9vy46Mvk3nnnHTn55JMlNjZWIiIiZNSoUfLKK6+oQFlbr732mvTr10/db8KECbJo0SKHZRHp19natWvl9NNPl8jISElPT5fHHnvMYnnw8zPPPCPDhw9Xy4JgXnZ2tnpvtPVly/uybds2ufbaa9V7nZiYqN4PfC7wOD///HOH/Yg++OAD9fxhYWGqZOyzzz4z3xePj+XXvPfee+a/1bKz8PhXXHGFDBgwQOLj49V72KNHD5k1a5Zs2bLF4rn1nx+8X8h469+/v3puvF/W3ocDBw7I7bffrj5nuB9e15VXXik7d+484b4IiL7wwgsq4IMSOKx3PO7zzz+vbtPTlgNlj3p4zdpteD81X3zxhRpb+DzjNeL9xO9/+MMf7CrTxN/j77Be8d5r7yEsW7bM6t98/vnnMnLkSKvvkb3vQW1trTz00EPqvng8rCd8vi699FKZM2eOxX0LCwvl/vvvN983ISFBfaYw1omIiNzCQERERG7zxBNP4OhXXW688cYO77tq1SpDUFCQuu+ECRMMzc3Nho8++sj895dddpm6Hx5Hu67tZerUqSc8b9++fS3us3jxYkN+fn67j4HLU089ZbFs+L29++Lx3nnnnQ4fT3PDDTe0e58rr7zS4jlffPHFE+4TEhJiGDJkiMVzd+TAgQNWl0N/fUZGhiEiIuKE53rzzTfN93/66afbXe6TTz7Z5vfl448/bvc+gYGBhkWLFpmfU79O276H2v137dql7vv/7J0FmCPXlbY/MUMz8zB60BQzs8eO45gd25t1wFknm2ySP1nHjpPYoXUYHHLYdhwzM8MwYzMziLH0P+eqSyo1zHTPqAWl+86jZ6RSdamqbp26t879zjm0/em2K153991337TrGI3GyN69e6e8bqf6bYvFEhkeHo6tv2XLlojdbp9y22azOfLRRx/F1vX5fJFTTz112n2h7/x+f2x9cXlNTU1C20qPmdqTePPNN9l5mW7bwWDwsNeL9JyLbSZy2WWXxb67/fbbJ62/aNGiw7bRbNvglltumXbd6667LrZeW1tbpLKycsr1yF6eeuqpwx4zh8PhcDhzAVdGcTgcDoeTIUjVKhNVK8Txxx+PL3/5y+z9xo0bmZrpzjvvZJ9JjfTrX/+avf/GN77BFBgipC4hpQa9KKxoIs3NzUyN89xzz+Evf/kLUzSREuXb3/42U268/PLLeOONN/Dwww8zZQXxwx/+MKZQ2bx5M771rW/FtnfrrbfimWeeYSotUnlQ7hxSTNHvkwpFRNwnUUXy2GOPsd8nFi5cyP6etiOqwx555BH2IkZGRnDXXXfFtnXHHXew/Z9OaXMs9PT0YPXq1XjqqafwhS98Ibb8t7/9bew9fUeQmoUUShSqRcdy++23o6ysbMbtQsf94x//GE8++SRTF7322musXUnNQuqr++67b8p9pDak8/7ss8/irLPOYsto/d///vfsPW3/Zz/7WUJIqPjbtF8EKctovaeffpq19yuvvMLUSYTH48EDDzww7W+Tqoj+jtRLhNPpxD/+8Q/2nvxFlKNKTFz/3//93+yaom2rVCq4XC6WFFxUJZHKSlSBVVVVse3QtUBKM4K+m25fjgRdT6KijcLq6PzSdU1KN1F5OFtCoRDLEUXKQJHly5dPWm///v2HbaPZtoF4zZHSjGyHzimp8G688UamfBL57Gc/i87OTvaevqP9pGvKbDazEMNbbrmFKSE5HA6Hw0kpc+Li4nA4HA6HMyOkCpPDqVakqpElS5ZMWu/f//53wnpSZc9EBcfE3xWVOxN55plnIuecc06ksLAwpsiSvnbs2MHW+6//+q/Ysmuuueawx0vqlYkqpKmUJT/72c8i77zzDnuRAklcfvHFF7N1H3nkkdiydevWxbYRCoUi1dXVSVVGabXaSG9vL1tOajRSqNByUvqInHDCCWxZRUVF5IMPPoi43e4j/t5U7UL7/5Of/IQdE6mLFApFwv7l5eXF1pWqblauXJmgoBOXX3755bHldC6mu64I2ue77747snz58tgxSl+rVq2a8vqhdhN5+OGHY8vvvPNOtmzbtm2xZccdd1ysXel14oknxr7bvHkzW3/FihWxZXQNitD7qY53Nsqor33ta7Fl//rXvyKDg4OR2XAkhR+96PpzOBxH1UazaYPS0tLYdukc071hIkNDQ7FriNaXnvsNGzbEtvvYY4/N6jxwOBwOh3Os8ATmHA6Hw+FkcAJzytckhRQylCuIVFKikoTyyVCemKPl4osvnrSMEjBfeeWVh/07Uely8ODBw25rpki3I1UgSRFVT6TGEVm3bl3sPSlt1qxZg/b2diSLRYsWxdqBVF6kOiGVinj8BCleKP9OV1cXy6tFCpv6+nqmgCElEOUHmgmU10eqYJqI9DelUGU+kYKCgiOuPxXXXHMNU+Qk+7el7bp9+3accsop07YttZ10fbrOpaohEek6s4EUgKQuohxspNojKHcV5SgjBdHZZ5+No0VUAJKyyWKxHFUbzaYN6JqjXFWUP27VqlXs2qfr7Pzzz2e5pEiR19jYGLtP9Pb2HvbcczgcDoeTSrgzisPhcDicDEtgfiQOHDiQkGiZPlO4DSW7PhomOrzExOAiFCp47bXXssTcFLpHoUPEVAnF55qZhBMdTajV4ZCGPE1X4fC2225DZWUlCynbtm0bDh06hKamJvYi5wI97FMI3+GgsMcHH3ww9hsUhknOGHq/YcMGDA4OTptgW7qP0v2baUJuct6JThAK3/rBD37AwtYIMTH3dO19rL8907Y9UruGw+GEz3S+JkIJ3rds2cLO80cffcRC5/r7+1nCbwp7o7DFk046aVbV9Gi/KKyVErhP5YSa6XmabRvce++97HjIcUzJzelao+uMXmSjdB3OFB6mx+FwOJxUw3NGcTgcDoeTRVD+IlE1REoIgpQRpJCYqNIQOZLTaKqHfFL4iNAD9znnnMMe0qXLRaSqH8rbdDgOt1/S7VC+HHpIn/iiB26CVEcilLNK6pCQfk4VtG+kSKE8Ubt27WJ5kMR8XqRIef/99494/ENDQ/D5fOw95V6iPEzkhKBjHR4ePuZ9PNxvS9v1vPPOY5UUSclDSrxjRdqutM2p2pWcIf/5n/85aX3KjSZCzqOptklV7cTzR05ZgqrnkaNpIvRbS5cuZdUZSclGSiPKtySeE8rVNdtqeqSqImXS4RxRM+Fo2uCTn/wky+tGx0p5uqh6pViVkdRj5CAT7ZuqTlJ+q4nnnpyg5GTmcDgcDieVcGUUh8PhcDgZAik03n333UnLKQxNfCClB3ZK3k3QQ+j//u//Yu/evSwZ8+WXX87UGhNVGOQcoYfswsJClgRaTAR9OCgpshgKRYnC6eH4r3/9K/utqUKf6OGeIGUQlZi/7LLLmIOB1Ca0z6eeempsv1paWmJOLgrLood6SvhM2xGTMt9www0ssTYlTKey9KQ0IkcXhTJSsnRyjun1eua8IYcFOX5oHykZdTJD9GYKOQHIGUFhUKSQood+qVOMwsLE45+uXejvxGOi70i9Q6o1UsAkQ4Um/W26zl544QW2z+TYofYWocTplDCcnJ0Tw0aPBnKskYKHHCRvvfUWS6JNIXKk5COnEbUfKZPE65pUeKT0IT73uc8xJws5VL72ta8lhLOJkMOF1E5er5f9LV1rv/rVryYppQhSG7355pu46KKL2Dmna5WSj09sp3Qw2zYQnWAUvkhFB+g8Se2TjiU/P5/ZzPPPP88cuZdeeikL76N2b2trY+opUlZ98MEHqK2tTclxcjgcDofDOOasUxwOh8PhcOYsgbk0+fJDDz0UW3b11VezZZQsWyxVT4mMA4FAbNtr1qyZtC36vYm/S0mWJ0LJnSf+rV6vT9imNDn4XXfdNe3+S9f77//+70nfSxN533jjjYc9F+L+E/fff/+k7+lc1NfXJzWB+cRE41MlYT/rrLOm3eeSkpLI6OjojNrlc5/73KTv5s+fHykuLp70m9Lk2NLzMt2+B4PBWNJr6Uts/4suumjSd5TcfqoE4dNdP9MlSd+yZQtL+H64thWhRNynnHLKtOudeuqpEb/fH1v/t7/97aR1zGZzpLKycpIN3XvvvdNul66dd99997DXi/ScT5WA/nDrz6SNZtMGDQ0N0x4LFTmgZPhEW1tbwrmY6iWeHw6Hw+FwUgUP0+NwOBwOJwvo7u6OhX2RwkVUIp1wwgmxsD0K1yMVjQgpKyh0bGLOo5kqfX77298yZRKpdUidRSXhSeEyFffccw9TLtHvUXJmUr2Ul5ezxOp1dXWx9UjV9OlPf5p9N1V44J///GcW6kbhSaSY0mq1TMFCicApsTclmRahMDY6D6ToIOUYqcJIWTVdkua5hPbr6quvZqFQlO+HcgKRWoXUXqRCEkPJjtQuP/rRj1g7U/Jp2g4pWV577TWWr+tYoX2inEQUWjZVSBkp32666Sam1KL8VqROe+aZZ5AMVq9ezZKX33777SzskNqVfoOuJ1pGxyhCbUk5j+6//36sWLGCHTtdg6Seu++++/Dyyy+zv5fm6/r617/Ocq7RumeeeSbL/URtMRFKME5KPfpdOv+kPCL10LnnnssUUqQ2SiezaQM6ZlIgkqKKclaRzZEt0PkkZZUYxkv2QwooSmpOyfjpXFL703tSqdE1UVVVleIj5XA4HE6uoyCPVLp3gsPhcDgcDofD4XA4HA6HkxtwZRSHw+FwOBwOh8PhcDgcDidlcGcUh8PhcDgcDofD4XA4HA4nZXBnFIfD4XA4HA6Hw+FwOBwOJ2VwZxSHw+FwOBwOh8PhcDgcDidlcGcUh8PhcDgcDofD4XA4HA4nZXBnFIfD4XA4HA6Hw+FwOBwOJ2WoU/dT8kAQBHR3d8NisUChUKR7dzgcDofD4XA4HA6Hw+Fw0k4kEoHT6UR5eTmUysNrn7gzapaQI6qqqupY2ofD4XA4HA6Hw+FwOBwOR5Z0dHSgsrLysOtwZ9QsIUWUeHKtViuyWeE1MDCAoqKiI3osOZxchdsJh8NthMPhfQmHw8dbHE66EbLk+d3hcDDxjug3ORzcGTVLxNA8ckRluzPK5/OxY8jki5nDSSfcTjgcbiMcDu9LOBw+3uJw0k22PZfMJKVR5h8Fh8PhcDgcDofD4XA4HA5HNnBnFIfD4XA4HA6Hw+FwOBwOJ2VwZxSHw+FwOBwOh8PhcDgcDidl5FTOqLvvvhv33HPPtN9/61vfYutwOBwOh8PhcDgcDoeTKsLhMILBID/hnGlzRtH1QXmj0pkzSqPRQKVSJWVbOeWMuu222zA2Noaf/OQn+OCDD2LLTzzxRNxxxx3s+4n4/X72kmaHFy8GemUrtO+RSCSrj4HDmWu4nXA43EY4nEzuSyJCCL6BLYgIfhhKToRCqUn6b3A4c02uj7fo2Pv6+jA6OpruXcloIkIECuWRk2LLGUEQ4HQ6070bsNvtKCkpmTJJ+WzsOKecUZWVlaipqWHvTzjhhITvqqur2fcTue+++6ZUU1FZRfJKZit0kZBjjm5+2ZCNn8NJB9xOOBxuIxxOxvYlkQjQ+ygUgX720eUVAPOS5G2fw0kRuT7eIucCiR+Ki4uh1+unrkIWoQf8CKBIjiIlm4iEIwgFBHYKFCoFNPrcu0YI0WFLNjKTSnVztQ/kA+nv74fb7YbFYpm0zmycZTnljDoavv71r+NLX/pSgjKqqqoKRUVFrKxitkIXMl3EdBy5eNPnyJtwSEDn3gEMtI2hpD4PVUuLjmo73E44HG4jHM6xMpd9icNVCv9w1Bll0oZgKi5O6vY5nFSQy+MtCs0bHh5GaWkpCgoKJq8QiSAcdCASdLOPKn0hFCotcgFyfAS8IYSCYWglXguTWY9cJRgMsjC5dEIOKLJTckjRNTsxZI8cqjOFO6OOgE6nY6+JUANk+82SbvpyOA7O1DfvdHnM081onxtNm7vhcwXY5679Q6heVnzU54PbCYeTuTYy2ufCYIcDRdU22IpNKf99DifVdhKJ0EN7fBvG0hPhH94Z/U4I8DEdJ2vJ1fFWIBBgx24ymSaNVYWQD+HAKCCEY8uYnasnP5vKjVAgDL8nyELzpiIXn3Mikue7dB+/eL2SM3Wic2w2NsydURyOjKBOy9XxIhRKHSw1FyCXoE6rdUcf+ppHEpZTJ0ZKKbUm92TNHHkjhLzw9L7HcsaYK87MmZlS0d5btveivyWaX2O0x4W1lyxI925xOHNq786259l7W8OVseVKVXwGOhKO5ziVm707Bj2wFRmh4n05R6ZInQsRIYxwYAyRkHeKNeWdV0sQIgh4gszupVCuKNExRRHKOeiLyiiS5QzjzqgM8CxyOMnAP7IPjpanIAQpTlcBfcEyaMxVOXFyh7ocaN7Sw6S8McisxydTuDOKI0fH8+D2H8YePtWGYhiKViMXGOp0oGlLD4K+uL2z2dMcVoRy5I1veA+crU9DCLrYZ33BCujs89l7qRNabs4osmmyd+rfg/4wbCUmLDu9Nt27xeHMKaR+DHn7x3NEjaNUU8cvriDLFiB7JwcUOaKkh6jSKKEzauD3hhAWHVRsBd7fy4Hc0kFOQ35+Pt566y3s2bMn3bvC4cwaIejGaOMjGD34t3FHFM0eaBD2JyqE5EjAF8KB9zuw/92OmCNKqVaifnUZC9sRCQflPYvEyT2Uaj0UKkPsc9gv/wo8AW8Q+9/rYC+pI0qEnM4cjpwIB5wYPfgPjB36R8wRpVDpEAnH1RL0WYQq6snN3g+838kcUYRzaCqVCIcjLygMV6kxih+g0tmh1uczh5RCpZFlAnMhLLD0Gn63xBGlAHQmDfRmLZQqStgdXz/d/rg333yTTX4dS/XD1tZWto3t27cjl+HOKAC33347XnnlFfz3f/93utuDw5nVDIJ3cDsGd/4E/qFovghCa5uPvKX/yWZVSNLv6d8ky2Pvbx3FthcaWb4YEXupGavPb0DZ/Hw2kyLCH1I5crjm6SXFWnuJbBURk+y9ZRTbXmxiKgmRvDIzLIXjA3Zu5xy59e8DWzFE/ftIfKJUa1+EghX/xZRRIonKqGiuxKwvcd88gq0vNGK4K7EikxASJt0HOZxsJ3pNJ17XSo0FSo0JakMJ+58mmTXGEqaCVmknVy9LBzfffDNzpkx8nX/++TPexumnn44vfP4L8Dj8CRPHNIY32nTQ6NSSHEmSPzyK+0AyHEic5JNzYXp33nkne0n5zne+w14cTrZAKghH61MIjB6MLVOoDbBUXwR94XGIhNxwd70RG7wai9dBLlA4DiUoH+mJzhITaq0KdatKUVRji3VaKnV85igcTIw753CyCVI5UgiuLm8xjCXHx5YrtVZZKiKk+NwBZu+jvdEqQoRap0L9qjIUVltx6KMuOAejy9lANi4W43CykrBvmNl7wNEYW6ZQm2CtvRi6/OWTQlEVpJJQakgmnfVOaVJGNG7uxlhf3N41OhUUKiUL3SF42D1HToR8Q3A0vwBBWDpJHUWKqEyHHE9/+tOfEpZNVfhrOjUUvdiEcSSeF0prVEMjKZ1HzjpKki0Ny+M+afnAlVEcTpYRdHdjaOfPEhxRNEAtWHEnDEWrojMTUtl+lg9OpZ1Rz6FhNlsqdUQVVlmx6oJ5KK61JwzSuTKKI4e8EZ7eD6L2PnYIrvaXEsLx5GjnIpSktPvgEFNDSR1RhdU2rD5/XszxzO2cIydCnn4M7vpZgiNKX3AcCsfVUNPlRFMqo+ooIUvvA8zeD5C9NyY4osjOqX8358WTtHOlM0cu/bu7510M7fo5gq4ORMI+RISowzWbIMdTaWlpwisvLy+mRNJqtXjnnXdi6//gBz9AcXExOlo7ccP1N+Gdd9/Br377S1gKjOzVN9yD995/l93rXnjhBaxZs4b9xrvvvovmliZcfd1VqF9UC3u+DevWrcOrr76asD9+vx9f/epXUVVVxf5u3rx5+MMf/sBC4s444wy2Du0fbZ+UXYQgCLjvvvtQV1cHg8GAlStX4rHHHkvY7vPPP48FCxaw72k7tL0jQb/x61//GhdccAH7u/r6+knbJZqbm9k2jUYj++0PPvgAIkNDQ7jmmmtQUVHBvl+xYgUefvhhSKFtLl++nP1GQUEBzj77bLjd8fvo73//eyxevBh6vR6LFi3Cr371K2QSOaeM4nCyHbWxBCpDIULuLibjtdReCn3+ksSVFOpxX7Mgi4dUr9OPxk3dcAx4Ysu0BjXq15ShoCKuDpGiUkvC9HjOKE6WEfIOwNH8BIKutgTnUzjgiM2WKiXOqGx9CJ0Kkus3buxKyA9D9t6wthz55YnhCVwByZETKkMRtOYqBBzNUGptsNZdBp194RH/zlR1DpMKxPLMZBGeMR8ObeyGa1hi70YN5q0tQ16ZZer+nCsgOVlMyNOHsebHEXJ3ji/RsRg0uYWgUggeRSPdcMMN2LFjB3O6/O///i/+9ud/IM9agB/c90M0Nh3CkiVLce+932ZVr4uKitDeHh33fO1rX8OPfvQj5sQhB1JzYwvOO+c8fOubd8NsN+GfD/8Dl1xyCQ4cOIDq6mr2NzfeeCNz5vzsZz9jjp2WlhYMDg4y59S///1vXHnllWx9q9XKnDcEOaL+9re/4Te/+Q3mz5+Pt99+G9dffz3bl9NOOw0dHR244oor8LnPfQ6f/vSnsXnz5hmn9qHjvf/++/HTn/4Uf/3rX/HJT34Su3btYs4hkW984xvsOOm36T05nxobG6FWq+Hz+ZhDjhxstM/PPvssPvWpTzHH2PHHH4+enh62Pjn5NmzYAKfTyZx/4rX097//HXfddRd+8YtfYNWqVdi2bRv+4z/+AyaTCTfddBMyAe6M4nAynIkVokiSb62/At7eD2CuPh9K9eRRWVQdpR2fafFndXnX7gODaN89ECvnSpTU56F2ZQkLz5uOhMErT2zMyRKonLOn5x24ul4nuVNsuaF4HcxVZO/6aZRR2Z8rhuy9a98gOvYm2ntpQx5qyN6nKOnOlVGcbFdHUDiOtO+21G2Ap/d9mCvPTrD3w5GNofgUntO5fxCdewcT7X1ePmpWFCfYe4Kd88klTpYSEUJwd7/FXvH+XcHSayj9Vigl+d+I7S83JRTroPuFiPS+kUw0ejWOO7dhxuuTc8RsNics+3//7/+xF0FpcCgvMzlxyAlz7SevwwXnXsi+s1ltTL1ktZlRWVUxadvf/va3cc4558Q+W1ZasWjekpjD+t5778UTTzyBp59+Gp///Odx8OBBPProo+z3SB1EkCNLWrCMIGWW3W6PKam+973vMYXViSeeGPsbUmL99re/Zc4oUjc1NDTgxz/+Mft+4cKF7Fi+//3vH/H8XHXVVbjtttvYe9pf2ref//znCeqkL3/5y7jooovY+3vuuQdLly5lzihSMZEiir4XueOOO/DSSy+x4xSdUaFQiDnLampq2DqkkhL51re+xfabvidI/bV37152bNwZxeFwZhSS52h5kiUq1pirYss1xlJo6jcc9m+jFXd8WauMco140bixG+5RX2yZ3qRBw7py2EsSO76pUEkGsnzwyskGgu4uOGi21NMbW6bSFcBafzm01viASo4KSOcw2XsXPGPx46AKOvPWlcNWbJr277gCkpOtBF2dcLQ8AXP1BdDZ5sWWU9Usyg8lZ5xDHqZ2TrB3y7i9F0229wQFZIjngORkHxSKR2qosLc/tkylL4K1fgMETQkGWlom/40vFKsUPZnMqB5L4WXkrJEiOn0ICtP7y0N/wao1q1BdVY37v/MDtlyhUkBv1ECpiiY9n4q1a9cmfKbQs7vu+hZeevlF9PX3MieM1+tFe3s7+56q0qlUKuZAmink9PF4PAlOLyIQCDAlEbFv3z7m+JEiOq6OxMT16PPE6nkrVsQLUpSVlbH/+/v7mTOKcmWRs4ycT11dXWy/yIFGyiaC1F9nnXUWc0Cdd955OPfcc/Hxj3+cKcnofDU1NeHWW29laigROm82W7zieLrhyigOJwOhuHFKQO7upjhrgYXr5C/7LBTKmZusqJrINsUEzZZ27BlgM6ax4iIKoHxBAaqXFSc8fB6ORMUEH7xyMlv96B/Zi7FDD0sGmAoYyz4Gc8WZCdWy5KaAJNVix55+dB0YSrD3ioWFqFpadER758ooTrZBfbKr6zV4et5jFbRowqlw+RemtXM5Qfbevqsf3YcS7b1yUdTeqXz7VHA752Qz/pH9GD34t3jFPIUSpvLTYCo/nY3rKRRrOpWSlKgyKhIvXDAHTPzNI0FOEcrLNBWkeAx4g3jrzWjOqJGREYyMjsBeYGOh99M5oaTblvI/X/sfvPrKK/jOPd/DwkULYMu3MscLOWgIMexuNrhc0Ry0zz33HFMhHU0i9mNFo9HE3ovnhPJYET/84Q9ZiN9PfvIT5nCivFEU+igeMznfSG31/vvv4+WXX2aqKwr1++ijj9i6xO9+97tJzjT6u0yBO6M4nAwj4Gxlzqewb7xEFOt6IhCCTqh00aSAM0Gp1IFcMBEhMCkUIFNxDLhxaFM3fM64A41Ku85bVwFLwew6Ga6Y4GQLNPjQWhtY+Wayc7WxFNa6DdCYK4/4t/lLb2eDWWnIXrYw1u9m6giqoCVisuuZOsKcPzN7T8wZlRkzxRzOdFAuKFfrUwj7h2PLlCo9hKALKlVcTTBbhJAHQtDNFJKUV5LKwGcao31uNG3qgs8dTLT39eUw5x3e3nl/zslmtLYGqPT5CPuGoDaVw1p3BTSmqALmcEwMl6NckuIEM23nSM6cdBIKhuF3B5ky5+vf+Cp+/sAv8fhT/8ZnvvCfeO21V2P7TsqpaKW8I/PB++/jumuux6UXX8aq6oYigYRE4uSsISfOW2+9FQvTk0K/RUh/b8mSJczpROqq6RRVlN+JQgGlfPjhhzPaZ1qP8lhJP4uKq5nw3nvv4bLLLmM5rMR9p3BECuUToXN58sknsxflh6JwPQpf/NKXvoTy8nKWq+u6665DpsKdURxOhkAJiF0dL8Hb91F8oUI1Pnty2qxUUdE/jc+yUuelmGHuiXR1Wm07+9HbGB+gU3nXqiWFqFhUOO1s6eHgOaM42ZQLjnLDWOsuR9DTA1PZqVAoZzZrpTYUIdsIBcJo3dmHvqaRRHtfWhS1d+XMB9hcAcnJBoSQDxh6HWOuPfGFCjXMlWfCWPqxGdv7dFClTe/AZvY+f9nnZ/Sgm1J739GHvuZEe69eVoTyhTOzd66M4mQTkUg4QblEzmGaYKLQXGPZSUevapI6n0glNUfqqNlAIWO9vb0JaqhwMAK7JY85Tm67/RacdebZuPW2W3DZlZewkDTKYfSVr3yFrV9bW8tUPORUotxT0hC/icybPw9PP/sULjjvQqi1anznvm/HFETitigP0i233BJLYN7W1sZC3j7xiU8wJw2NuyjP1YUXXsiUVBaLheVk+uIXv8i29bGPfQxjY2PMCUQJw2l7t99+e2yfKf/Tli1b8NBDD83o/PzrX/9i4Ya0XUomvnHjRlbdb6bMnz+fVcsj5ROF3tF+0PGIzig6d6+99hoLz6NcWPR5YGAgliCdclB94QtfYGF5559/PmsvSsBOKjVyVmUC3BnF4WQA/tEDcLQ8BSEwFlumNlXCVn8Fm+U8GhKSG7MQnsx0Ro30ONG4uQcBT3y2lFRQpI4w2o5+n/nglZPJkn1nx0vIW3gzVLp43L4ubxF7yZnhbieaNncn5MFg9r6+Akbr7NVdXDHByXR8I/vgbHkKiqAztkxjqWEPp8lyJk/u7zODoS4Hmrf0JNi7tcjIKmPOxt65ApKTLfiG98DV/gLsC2+G2lAYW6611rHXsSGdmM2MynsvvvhiLM+RyPx5C7D1o+344f99Hx2dHXjuuWehNWhQbijHgw8+yKq/kfOEnEXkCCKHDymUKP8TVb+bDnLEfOqmW3D2BWeioKCAVdtzOBwJ61D+Kkqe/tnPfhZDQ0Osyp6YTJ3C8Mg5Q39HFelIsUROJUosTpXzqKoeqYgoufnq1atjf0fboEp85LCiMLj169ezPE7k9DoS9HsPP/ww2x86T//85z/Zsc6Ub37zm2yfKB8Uhd1R7qdLL72UVc0jyGFG1f8ojI/OBTnc6DxdcMEF7HtyntHfUbgfOdMo9JEUZBTqlykoInKrIznHUEOTd5G8pnQBZCvk/SXPKnlRlcrMD9+SMy7KDdX5anyBUgNz5Tkwlp54TKF1rs7XWMifUqmFpe4yqLSZdb0G/SG0bOvFQFvcAUeJDGuWl6Bsfj6bOT3W7W988gB7by81Y+lp0SoTs4HbCSeZUBiNs+05+IZ2sM9a+0LYF9yQ0VL7ZNkIJWJt3taLwXaJvauVqF1RzKpnHe05oAIH219qYu+L6+yYv35yRR4OJ11Q1SxXx8uxzwqlFubq82AoXp/U0Hnq791UgZP6u4U3QmdfiHQS8IXQsrUHgx2OCfZegtJ5ebO295FeF/a+FS33XrmkkI0TOPIi28db4YATzrZn4R/ezT5rLLXIW3zrjOycckaRE4Yqnen100/Chv0jEIIe9l5loBxr2oxpO78nhHBAEm6nAHQGDQunS9YYh1RXYlEjmogyHMUEViqh46Zwucsvvzxp24xEIiwBuVp95Jxbc83hrtvZ+Eu4MorDSTM6+6LoIDIisLwxlrrLWTWdY8VceRYyEbqR0gCVBqpBf7zjspWYMG9tOauglQwSqumFeC4ZTnqved/QTjZQjYQ8ki/C5KECjmFAGRhrQsjbx8J8jSUnQKmefQLPObf39jE0b+1l4Toi5CBuWFsGvenY7J0rIDmZjC5/GZtwIjuP6KuRv+AqaAzH3r8fVhmVxqIlZO80wUQTTVJ7zyszo2FNGXRHae9cAcnJ6P59cBucbc8jEvZOqGid7BQZmaWMYo6RQBh+imyIJPbLOlYpL8lORWmUYnK3zEkj3BnF4aQ5VwzldiAllFJthL5oTdo93XMJdVgk2adQHWmnVXdcKVM1JPPYKQ8Fqaui8eu8mh4nPYT9Y3C0PoXAaFSlRyhUBlhqLoS+cNUxX/PewW1sIEzo85dllDOK7J1C8kZ6otVqCLVWxey9qNaWFHvnD6mcTGJisRC1vgCW6gtZfihHuAwqnX1OfjcxR2R6wvT87gALuR/tnWDvq0pRVHNs9s5zQHIyEVIqUTXMwFhjbJlCbYSl5mLoC1YkfzyfkDMqkvbK19THJxQOITWUUcPsfi6eZdg2abOR6LMURx5wZxSHkyLoxkkJRn2D25G36FMJCclN5afK/tgpeSklMZV2XPkVFjZbSrHkcwE5ukL+MFdGcdLyUOrt3wxX+4sJOVxIKUEDVZXWIpuH0KnsvbdpBG1k7xJVYkGVFfWry6CdZenow8EVkJzMsfeNzObzl3w6wS6NJetZGIujv3/Ofl+hjCujSCWZcntvHEbrzn4IEnsvrLaiblVy7J0rIDkZZ+99H7EQXKpYLaIvWAlLzUWsMu7cIHXwpEfxT/ZOUQ3SPK8EOaC0pIY6xhQbM3FIMUdUFviiuMNsZnBnFIeTAkK+ITZ7EnQ0s8/unndgrjgjJ8691+lH0+YeVsZdRKNXs4fSwqq5zWNFs6ncGcVJB2NN/4J/aGfss1JjhqX2Uujz4+V4k/0QmgnOKLL3xk3dcAx4EuydnM4Flcm3d66A5KQbKrfuaHkCQWc0p5Gr81WmfEwlyjQlMPc4/Ggiex+M27vWoEY92XtF8uydKyA5mYSj+d9sYllEqbXBWnvpnBcgISc3jSWgUEKhmJtJ3MNBk0ukhpI6nSkCQVRDpYRxXxd39MgH7ozicOZ49sTT+z4bnLLcMONQ1byJ4XpzUaGPzdqEAzBVnAFD0WqkEgqP6z44hPbd/RDC8SkMCs+hMB2Nbu5vP+IANkFGzOGkAH3+8pgzisJvLdUXzEkInVKlT5siYqK9dx4YRMeeRHsvqbejdmXpnA5UuQKSkw4iQhie3nfh6qScj/FqcRHKDzXH/Xu6c0YJ1L/vH0T7ngFm+yIl9XmoXVmSdHvnCkhOJmEoWhNzRlExAnPVeVAmNTfUYZzOEltPqRrKF0qoiklQcnJKUn6sBYdmw3iUXixUT86pTXIF7ozicOaIkKcPY82PI+TujC1Tau2w1l0OnX3+nJ/3iBBCyNPL3gvBeA6HVEDVLkgd4RqOJ3OkmRMq50yJTFOFOIClwTINnudaPszJXSYOivT5SxAsPRla+wLobPPm7HcTwvQk4QKpxO8KYdeO1liVG0Jv0qBhXTnsJXNv71wByUk1QXc3HNS/e3ri16EuH9a6DdDa6lO+P6kM16V+nfr3BHs3azFvXTlsxXMTnsQVkJxMygWntdbDVHk2tJZaaK11kDNMDeUOJEwyMTWUSQO1pFBQqoiOs7IgRo8zY7gzisOZAyeQu/tNuLvfjlbLYihgKDkB5qpzEuT0qZsp9acsoWHH3kF07RtIyK1YNj8fNcuLE2Y3U0GitD8MZQrUWJwctPeuN1iojm3+NQkOqVSE6qTDzqX23r6nH137x+JjQwVQPr8A1WTvEvubS7gCkpMqSPVESihPz7uSnC0KGEtPZhVspU6hVJKK+wA9lHbsHUDX/sEEe69YWICqpXNv71wByUmPvb+GkLsLdsr1KnFIyT3VBk2wkRKKFFFSKOyeQnHTpkhKyOHOlVFygD+ZcThJlu0P7/l1TJFEqPRFsNZvgNZSk9JzrVCmVjHhHPTg0KZueB3xgbDBosW89RWwFhqRDiYmPdWkXt3MkTEBZxsczU8g7Btgn/3Du6EvWJ7SfUiXM4pyQjVu6oLXGb+3GK06zFtfDktBau2dKyA5qVJHDO/5bYIaSm0ogbX+CmjMlWltBJU2DwUrv8hyyM1FuNDYgJupoXxSe7eRvVfAkp+aCp5cAclJJQFHS7R/9w+xz97+TTCWHJ/2Rogm7446whXKuZngDQXD8LuDCSG4ShWpobQpm2SajgQnGBdIyYKkO6N27dqFV155BR999BF6enrg9XpRUFCAhQsX4tRTT8X5558Pk2muqgxwOOmFOgatfWHUGaVQwlR2KkwVp0OhTH2iQakCay5zyZCTp21nH3oODceWUV9RsbgQVUuKoFSlr+PiSU85cwHZk6vjFXj7PoyPhhRKhAOOlJ/wVDujSGHYtqs/wd5pprIyjfbOFZCcVECqCKqW5SJnlELF+nbq46WVcdM59lDrC+fkoZSqYlJ1zPhvKZitVywqSKm9cwUkJxUIIR9cHS8y51MMhYqpoNNNNP1GX3SX1Aao9flJ3n4Efm+QFf6RQkooUkRlRH6mBGVUOneEkyzUyfLS/uUvf8HPfvYzbNu2DXl5eVixYgVKSkqg0+kwOjqK1157Db/85S9hNBrxiU98At/85jdRW1ubjJ/ncNLKRJkoSXfDvmGYyk+DxlSWtv1KxUPqaK8LjZu72QyKiClPj/nrKtj/6SbhIVVS/YPDOVr8o4dYZUwhMBpbpjZVRNURxtKUn1ipAnKuE5iP9LjQRPYuKelsztfDXq9DVV0RlMr0OJ65ApKTqlwxxrKTEPYNwlh6EtTGElmf+OFuJ7N3adJiS4GB5YYy2lLfvycoIMNCWie6OPLEP7IPjpanIQTjE0saczXr39WGIqQfqTMouZ6YUCDM+vYENZRayXJDqY7S1t58802cccYZGBkZgd1uT8p+Sp+35qqiHv3GE088gcsvvzwp2yN/x5133sleR8vpp5+O4447Dg888ADkRlKcUUuXLkUgEMBNN92Ev//971i0aOrSlh6PBy+++CIefvhhLFu2DA8++CCuvfbaZOwCh5NyhJAXzvYXoNblsxlSEVJB2ed/Mu0tMpfOKOq0Wrb3or9lNEHCW7WsGBULClJaWWPGD6m8oh7nGBBCHjjbnodvcFt8oVIDc+XZ7MFU+sCaSqhCn0qXx+xdpbHMyW8E/SFm7wOtY/HfVSlYXqjSeXkYGIiGKaYLroDkJBsh6Gb2rtSaWSVMEYVCxcLu5Qyz9229GGhLtPeaFSUom5eftv594uQSd0Zxkmvvz8I3XgFXnOgxV50LQ8nxaevfJ5EQopacCVYq7hPwBNm4Pv47pIbSQKNTTauGOpJK6lvf+hZzoCSbhJ89Rl/U3XffjSeffBLbt0crI4pQZBcJazhZ5IwildMnP/nJI86KkirqiiuuYK/W1lZ0dXUl4+c5nJTjG94LZyvNnjiZfFeXvzRDZk3mvrrOUKcDTVt6EpIaWouMbLbUYMmspEyJ5aATZccczkwJB5wY3v2LhKqUGms9q4yp1hek9UTSfafwuC/PybZp1pHsvZnsXSLbp4pZZO9UQUsQ0q845ApITjKvef/wLjhan0Uk5GZPZfr85WnPCTUTvIPbIYyHCpvKTz2qYx/scKB5a09CmI69xMQqY+pN6UnOLsIVkJy5QAh6MLjzp+P2HkVrmw9r3WVsoiezSJ4nhuxdVENJN0V2RtWvj+TsJYeNyCOPPIK77roLBw4ciC0zm83YvHkzks4MlFEkkNFqj/5+VVqaepV7LpMUVy+pm2YrzyfJ2sknn5yMn+dwUkY46MLooX9i7NDfo44odl9UI+QbzLhWoBlcKNRJc0YFvEHsf6+DvURHFD0E1q8pw7IzajPOEUVwxQQnKdeR1gKNOVqAgBRIlrrLkbfolrQ7ouYSyhtBtn7g/c6YI4oGqeSEWnp6DXNEZaTTmSsgOUdJODCGsYN/w1jjI7EHU7L3dOSCOxrcXW/C1fES+3+20APpvnc7cPCDzpgjitn7+nIsOa0m7Y6oydVx0+8E58gDpcYIfd7iWB4ma/3HYV94UwY6osbVSOPOmGMJUaMwV58rEE2xIamMSSF51LfPRHVIDhvxZbPZ2L5Jl5EzSmTLli1Yu3YtE6WcdNJJCU4r4qmnnsLq1auh1+tRX1+Pe+65B6FQfMK7vb0dl112GdtmYXE+brzlevT398X2nRROFML2+9//HnV1dWw7BKUJuu2221BUVASr1YozzzwTO3bsYN899NBD7HfoM+07vWiZeJ5JMSXS2dmJa665Bvn5+SzvNR0L5cYmmpqa2L5RaiLav3Xr1uHVV1+dVXvcfPPNLCSQ9kfc19tvv5051RLaTRDwP//zP+y3ysrK2HFL+b//+z8sX76c7WNVVRU++9nPwuWKT6K2tbXhkksuYaovWoci255//vnY97t378YFF1zAjoN+44YbbsDg4Nw/36Yk6+J7772Hffv24ZRTTmGJzDmcbINu+hSeQ7L9SNgbW07Jyq21NHtiQyZCA+lIKAThGKrp0bH3t46idXtfgow3r9yMhjXlbAYlU+GKCc7RIA7ypDJ0S+0lLATXXH0uVNrMtPdkwOy9ZZSF5Ukf+PIrLMzxrDNknr0nKia4ApIz+2veO7AZrvYXEiZudHlLmd2TMzobEEPzqXruTEue03p9zSNo3dGXYO8FlVbUry5loTqZAu/POcnKA0dIQ+/MFIpLRYcqz4JKE3eiZCS035HwUYXpkb3T5BJNLieoobSqqBpqjkJwv/GNb+DHP/4xc7SQk+WWW25hvgHinXfewY033sjyTpOfgJw7n/70p2OhfuSAER1Rb731FnxeH+74/B246bYb8dorr8V+o7GxEf/+97/x+OOPQ6WKTlBdddVVMBgMeOGFF5jD7Le//S3OOussHDx4EFdffTVzvlD6INF5ROtMhJw5p512GioqKvD0008zR9vWrVtjqnD6/sILL8R3v/tdliebcmiTw4ccbtXV1TM+R6+99hpzolGeLYoe+9SnPsUKwNF2Rf785z/ji1/8It59911s2rSJrUPCnnPOOYd9T8IgOo/kkGtubmbOKHJe/epXv2Lff+5zn2MOrrfffps5o/bu3RtzGpLjjpx15LyjvFRUgO6rX/0qy/P9+uuvI6ucUaSSosb405/+xD7/5je/YSeDoOXPPvssuxA4nGwh7B9hCYsDY42xZQq1EZaai6EvWJEZ1SWmwVxxJvnSoVAfXQVLnzuApk3dGO2Ly5fVOhXqV5ehsMqa0cc+layfwzkSId8wnC1PwlC8DvqC5fFrSWuBbd5Vsj6BNFNKBQnGJPZOOSPICUUPp5lq71wxwTlaQr4h1r8HHc2xZUqNmTmh9PnLsurExivoRphDSpo3ciq8Tj+zd0e/J7aMKmaJ/XumwRWQnGMl5B2Eo+UJ6AtXwli8PrZcqdazsLxMxN3zLjw9UccNESFHlDQCYhy1qRx5C29I+NuRA39FyN0t+dvJairq141lJ0Np/hjmCnKokEOH+NrXvoaLLroIPp+POV9IDUTLKO80Qcqoe++9lzlRyBlFTppdu3ahpaWFqX1oUvzBX/0e605eg02bN+PkU05kf0dOFnIEkcOLIIfNxo0b0d/fz/wPxI9+9COmeHrssceYw4scMWq1+rBhef/4xz9YXkxy/pAyipg3b17s+5UrV7KXCO07JT8nx9XnP//5GZ8jrVaLP/7xj0w9Roqlb3/72/jKV77CtidGn1FxODonpBpbvHgxKwxH50d0RkkTpFME2ne+8x3m/BOdUaQwu/LKK5l6SjzXIr/4xS+watUqfO9734sto/2hc07OuwULFiBrnFHU+NTYIvfddx/zspF07DOf+Qy76LgzipMtBJxtGN3/EBvYiVBpZ0vNRVBqjs7Bk0qMpScc1d9RNY2exmFWwl2QOHGKamyoW1UKjS79paxngkrNw3c4M58t9fR+AFfnK5REAiFPL7TWBibhz3TGmv7NqvvRw6d9wfVHZe/dh4bQTvYejg9Wi2vtqD2uJOPtnSsmOEdD0NWB4X1/YPYuoi9azRKWK9WZb/dHzBM5jTOK7L3r4BA6dk+w9zo7aldmrr1zBSTnaCEHDjl0XJ2vAZEQQp4e6GwLMzaqQQrZsrS6X8J30vehycdC4cbT/a10G3NVcVuEnCgiFF5GkJOIlEMUJkcqKakCKBwOM2cVFT6jyCpyiNCLoDmxRYsWw26zY//+fTFnVE1NTcwRRdB2SbVE6iIppPgh9dVMoeTm5KQRHVETod+gcLnnnnuO5dEiRxH9Bjl+ZsPKlSuZI0rkxBNPZNvu6OhgxzbxPIrnks6jCCm8yO+yf/9+OBwOti/ieaRtf+ELX2C+mJdffhlnn302c0yJ26Tz9cYbbySEV4rQ+coqZxR5D8ULbc+ePewk/td//Rc7OPJ6kmSOw8kWNKZyKLUWhH1DUGptsNZeCl3e1NUi5YJnzIfGTd1wDknCEQ1qNKwtR355doQriPDBK2cmhDx9cDQ/gaC7I75QqUE4MJIVzqigsxVh/zBTbB6NvR/a2A3XcNzeSa5P9p5XluHhCuNwBSTnaCAlgVpfhJCnG0pdHgu519nnZ+3JnEkFXfeoD40bu+Aa8cWWUZ6YeWvLYS/NbHvnCkjO0RB0d7P+nexcRKk2QQi5ssIZRXat1EiVioIklUB8wnWqCAiFygiFevK4faLK+UgqymNFo9FM+m1pmBsJVai42UTE3E8JTKPQprAzKbRd8kdQ2NtE7Hb7jPedwvwOx5e//GW88sorTIhDiila/+Mf//ikfE/JPo/iuRTPI4X2XXzxxczZRI49cp6RQOjWW29l+0LOKBIHnXfeecxxRg4pclxR+OQdd9zBzheFF37/+9/HRES/TtY4o8gDSQmyKO6T4jDpAEhuJno6M6HyDoczHRPzLFCOGGvdBlbu1Vx1HpPyyhVKaNi1fwgdewfYzKlIaUMealaWQC1JEpwt8MEr53BEhBDc3W+xF8vBMI6h5ARW0jke9pIdiojZzG6SvXfuG2Qvqb1T6fbqFcVZZe9cAcmZqfpRmieGHuSs9VfAN7gVpsqzs8bep0OhnN4ZRfbesXcQXfsGII3UKVuQj5plxQkhcJkKV0ByZkNECMLd9Qbc3e8wB04UBYylJ8FceXaCkjCTMZV9jL2kocWRUNSZrDaWQqFUTfksE/CGoCm+ClL3BYXh0uRyJoXcU+Jyyq8kDX2TQuFoJGyhF6mjaNdJETU6NopFCxcfdru9vb0sDI9C1qYLjSPfxOEg5RAlRh8eHp5SHUWqLkpAvmHDBvaZnDrkGJotO3bsYIoq0fn14YcfMiGPqAg7EpQknnws5FwSw/oeffTRSevR9ih0j15f//rX8bvf/Y45o+h8Uc4tOld0zrKump4UysJOCa8ozvH+++9nCcJEKFEYJdVKFRTjSAZHUjmK9aSEaXSxk3dw/vz5rBHc7nhuDE5uE3R1YnjPbxDyDiQs11rrWCx5NjqihLCf5bwKenpZxzwdzmEvdrzSjPbd/bEHU6qoQVXySCGRTQ+mUrhignPYEJ3dv4K76/WYI0qlL0Tekv+AtfaSrHowjc1qRsLMwXYknEMeZu8de+KOZ4NFi+Vn1rH8UNlm71wByTkSAWc7hnf9gvXzUjSmsmjYfRbZ+8yUUfFZecegB9tfbkbn3rgjymDVYflZdahfVZYVjiiC9+ec2aTYGNr1i+hE07gjSmUoRv7S/4Sl5sKscURNhUpjhcpQCLWhOJrMfALhYBgehz9W9ZpQqhQwWLVM9ZxJjijirrvuYrmeSB1FEVUUlvfwww/jm9/8Jvuewskox9F1113HEodv3LQJn/7sbfjYyadg9arV026X/o5C3ahKHamAyEH0/vvvs2TqmzdvZuuQ44VyUVEoHlWN8/snT+hRFT3KKUXbIccTJQYnp80HH3zAvid/AiVNp22QQ4lyZx+N8CYQCDAVEyUVpwp3lBuKck6JjqUjQf6NYDCIn//852wf//rXv7K83VIop9RLL73EjpnOJYXlkbNPTG5ODjc6XvKZUGgerUtJ0o/ksMs4ZxTJ1EgCRqooyi5PF5cIJfQ6//zzkSqeeeYZ5tGkmNRHHnkEhw4dYgnRqJGpQR588EEmSePkNjRoc7a/GHVEuTtZckOx2ka242x7DoPbf4ThXT9nsykToaTeVDVr56vN8IyN34QVQMWiQhx3XgNsxZmfF+tw8JlUzlR4B7ZheM9vEfL2jS9RwlR+GgqWfx5ay9QzaNmjiJheGs7sfRvZe0uCvVcujtq7tSjzQxKngisgOYebkKF+cGTvg8zeWf8uyLPiovQBWxD87KG0eWsPdr3WAq8jau/0HFq1tAjHnVsPa2F22TtXQHJmgndwB0b2/g5h33hJeoUKpoozUbDsc9CYZ6YyyWQUKg1zntP/UscSTSxR0SGvM4CIJBecxqBmzmep/WQS5DOg4mbkMFq3bh1OOOEEVs1NzJNEx/jUU08hLy8Pp556Ks499xzU1tbhz7//S4LKcyL0d/S8T39DDhXKefTJT36SRW+VlJSwdShnEvklzjjjDJZv6p///OeU6inat+LiYubXIMcYiW3Ein2UE5v27aSTTmI+BToeUhnNlrPOOos5tmh/Schz6aWXslxUs8k5RftCYXbLli3D3//+dxaGJ4WcSuR0IgcUHTedEzG5eXl5OXO20TrnnnsuO07ylVBI40wdYkeLIjJVan2ZQBcXXRwUO0m5rKSJzcQM+eRpJQ/pmjVrZrRNSghGpR/HxsZgtWZetZGZQl5bSnpGxjXXF1kmE3A0w9H8JML+uKOGZK/2RZ/K/PKuM4AG4Z7e99n7vCWfhtYSvbkTY/1ulhuKKmiJmOx6zFtXDnP+4WOkswW6vb3/6F72no5p5TnxyhEzgduJPAkHHBja+VNEwj6ojWUsVIfyw2Uro4cehn94F3tfeNyXodLlTV6nz8Xs3e+OKyRNeeP2nnf09p4JNuL3BrH56YPsfX6FBYs/NvNyyhz54h9rZJXyBP9IbJnaVMGS/Ku0qR2/pcJOqK+nPp9QFVyC1n358Hvi9m4me19fwfr5bIQU3DtfiVY9LJ2Xh4Y12XvP5sydjQghL+vfhaATGlMVrPUboDZGnQ+ZCiWZJrUKRQ9NmSfpCFCFObJ1aci9Uq1kSijpZI1cEHNckuLLaMvO+5mUm2++GaOjo6zS30yeaygxOYXSpVvldrjrdjb+kswsmXEYyEsoVVtNhGRttA41KiXuEr2CEx1RBGXHJ7q7u2fsjOLIAyHkg6vjRXj7N8UXKlQwV5wJY9kpU8Zgy0W2T51W644+9DXHB+gKpQLVS4tQvqgQSmVmSXiPBbpRU4dMFQFJFcLJTSbmgqMHUUvNxWywSiWNpUlAs14REfZDejRk76R+7G8ZjS2jAVzV0mJULCxgtp/tcAUkZ+LDqLP9efgGtsYXKtQsT4yx7KSst/fpUGosUOqKEPQr0L13DH6vJWbv1cuKUb4gu+2dKyA5M8kFp1QbYKm7DGHfMIylJyZ8JzcEIYKAJ8j6eSlaowYanSrtzoo5gw4rQm2f7h3hJIOkO6Mo+da9996Lxx57DJ2dnVPGXx5L7CFlgicv209+8pNYvCZBcaGUgIu+JyhMkBKNrV+/ftptkbOKWLRo9tXRwkI44QFHiESrG7CHX8mNj9YjaNmkdWm5xOkxm3UF+v0J69INWZjxuhG2bXopJdGa8XUVsRu4uO702535utLzczTrEirpulOc9yOtGxg9AFfrM6zcKStpCgWT7trqNkBjLJ7Rdqdso9m0/TFcJ1O153TrRpRa0BlWIMISmg53OdG4pQsBX5DdzBURJSyFRqaO0JvViLAqHbO5plJ3nUxqzxmuSwPYcCiMUCgYvd5ncU3FzmMkkrz2zJp7ROa0/bFcJ56hPXB3v4m8RTdBPa52pHW1BdFyttIH02O1+3TdIzAhcbF4fka6XGje2styR0RoiSLCQnPmr6uEwaKTTV9CD9sRRfS8h4NCyvqSTGh7fo9IvE58w3vgbH0aoSDlA432fVpLHVNHqHT50TaKhFPe9qnoSxzuSrS0n4egN8yOnLAUG9CwphQGsy7BETWbcUSm9CVQ0V2MtqNgk0upHEek6jrh94iZ9yVkG4GRPfB0vYa8xbdCpbXF1tXaF6b9WWM2bS9+J64rRdrXRv8Pk7ybjWsDfqqmJp4rBdSaqBpKtPWp7j/TbVe6LNPXpbfsniI5VZm8v0dad6ZtP5FMOY6JPhG654t9V1qcURSLSOFvlABryZIlLNYymVRWVsbiSCmuVArlhqLvCYo/pWTq00k9KVEZKaguu+wyFqM5HeRMkzrUSHZG7Oz8ECeYzoRGFa1T0OvoQM9YGwpMJajOj29vZ+cH7CaztGwttOMJsPudXegabUGesQi1BQtj6+7u2oiQEMSi0tUwjJcTH3T1omOkETZDPuoLl8TW3dO9GYGwHwtKVsKkjc5+Dbv70TZ8EBadHfOKl8XW3dezDb6QB/OKlsOij5YxHfUMotW5B2ORPiwsXRlb90DfDngCLvZb9JuE0zeKxoHdMGhMWFQaVZMRh/p3w+UfQ23BIuQZC9kyl9+BQ/07oVPrsaRsbWzdpoG9cPhG2Lmhc0TQ7xzo2w6NSotl5XGnYcvgAYx6B1Fpb0CRJVpO0hf0Yl/vFqiUaqyoiLc7HS8dd7mtFiXWaNsHQn7s6dnEBizHVZ0cW7djpAl9AzthdTcjLxRtR0GpQ6dtJVRaO1bSQHU86Ry1D7VTsaUCFfZo0n1qxx2d0ZA32gfaF6JnrB29jnYUmstQldcQ+70dHe+zgdPSsnXQqqMPfn2OTnSPtSLfVIya/AWxdXd1fYSwEMLi0jXQa6IhMwPOHnSONsFuKERdYdxhurt7E4LhABaWHAejNvpwPeTuQ/vwIVj1eWgoWho/7x4nvPoalPt70H2wBz3tCoSNbgSqBqEK6rGgdAWrlkc3kP292+ANujGvaBks+mjZ0zHvMJoH97Lfod8TOdi3C+6AA3WFi2E3FIxfJ2NoHNgFvdqIxWXxeOnG/j1w+kfZ8dJxE+6AEwf7dkCr0mFp+brYus2D+9hvVuXNQ6G5lC3zBj3Y37sVaqUGyyuOj63bOnQQI54B1j7UTtG292FPz2bW2a+sPCnmjArmD8NvdaF3zIhSazRnQDAcxO7uj9j7VVXxSiWdI80YcHWjxFqFUktVVBIbDmF3T3TdFRUnxgYe3WNt6HN0oMhcjsq8eAjg9o732P/Lyo/P3nuEdwgtg/tg0lqxoCTquMmme4QQdMHV9hw6XL1wqcwoaXkBtfOuPOI9YtDVg1JrNcps0VAvssudXR+y93RNiYPLTLpHGENh5EtUnzs7PoJjxAVFcxGUwfE+2OqBssYJQ0ExK+Uu3uv29myBP+TD/OIVMOuiUuoR6h+G9sOss2F+8fLYPuzv3T75HuEZYn3JaKQnoe1TfY/w13QAISWMYw3xUsczvEcQdP+k+2iZrWZW94hyW3Q8QgOvnV3RCTJ+j0jPPaJOGIOn5+2obWiK4FZbUJnXgKLyj7GHWG/Ak5RxxNHcI8qsNbFB+67uD5N6jwh4g2jZ1oduxV5EigTousuhhg41K4uhLPJi/8hm2H1HP4445ntEksYRDu8IwiY91G4zy4dF10mqxhH8HjH34whqX+pLRoTuhLaf6h7hcHXjQOc7UAVGUOUfgqPlaVjnXcuus0x41pjtPSJfV8ruD+IDP+0zYdCamAKIIHullyoSgSrkZMsUCiMi2ui2yGY0OnXCumqlOjaujNqBm/2GXmOMOfxC4SAbK9Ix6460rhBkx01jYJ06Ht7vC3rY+IfGJspxbTYdM903pluXloljaXFdOi/0e/F1vRAiYbZf4r2S7qFhTQAQFIgENbFz5g952Xd0vHTcBP0tbYOecajvEaHfot+keyrdE6LrCmzfJq5L94MQravSQT0+nidnC91TyPViGL9/itcEnSO61ugVXTfCziVhlK4b9rNzr1Fp8ac//Sm6LiLwBtzTtj39Pu3HpOtEsr/xttfE+gzWngEX21z02SGx7Wd0ncTaPn6d0Dr0W/t7tmJBxYqEe8Sezm1ImzOKkoZTEnPKAJ8uSHn1wgsvsATlU0HZ5imJGfHrX//6sNuiML+pwgKDAT8GBwZixuHwjyHg98MpuNAf6o+tR44sumgHBgehUUYvzLFAdF0XrRvuT4i9FCIhDA0OQquKNrQjMMrWdYfd6BcS1w0JAQwPDcGtisbOuoKSdfv7E9RqQcGP4eEheNVRx5orMMrOg8fjSViXPtOFOTIyDL8zWonBG3Kx7dJAP2Fdt3t83REEXdHBvy/kZutS4Tbpum6Pm13EFD4Zdkc9p/6wl60bVkbjxEVcXhcCQT/GxkYR8UZvVLT/tK5SEZpm3TEofNq4wTAHoiJhXafPiTDiztGIvhqR/FMR9nYiHAhgoH8g5tV1+BwIBPxwRBzQBKLbYKqqccdkP7X9uKIi1vYRJ/qDiW1PdxJyfIo3uzG/pO2l1wlr+zCGhug60SW0PVt3QtuHhSCGhobgUnmixyZt+0h83WAw7pn2jEQ7L0KlUcBSoIPKGmL51MTrhNqTqil41dGQPk/IMXXbe8bbfngEAU044TqJBBXTtn1ovHilP+yJXifKyLTrCp7oDTAQ9rF1Q4rwtG0Pb/T8BoUAW5cePMR1I4juH008jY2OQemLnl/qiGLtOeE6YW3vcEDp7WfbZzNw4+vS+RIHEg6/Y8q2F9fN5nuEOxg9NkXInX33iOa3gZF3oBB8gCY6eA34XOjv62HhuIe7R0Tbfgwqf3R5OCJp+wy9R6glauPu5i4M+4MQFGGIwxBjvgaGehNGwmOsgqz0HuH10nXiZ9eJRx0tF+0KRvfBM6Htp7pHuAJj432JN633CJFAIN5HzPQewdp+fF3H2OzuEerx64QGsvwekd57hFtDD5TjSmBNPqAthjdShIGBwaSOI47mHqHyRfsScpQm6x7hFJxo7GzHUJMHQigCRJ+RYcjToLTBCoUuyH7zWMcRx3qPSN44grYX7fd83mjflqpxBDs//B4xp+MIckxSX0LbmfYe4QwDrr3wjW6EoC2MhaT7/QEM9PXA7cuMZ43Z3iNcIRcUgpblAqJzIDobQsFQbF0ahwphgSUnV40LU+heR18zJZQymktIXDfq/BZiywhxoiYcCkEYH8eK6woT1qX8U/SPloljXjqOqdalz/F1I4nrhgWEMHndcDgUy3FFYxtRITbldsNUKXh82Xj1YxE6X3SO2Lp0zOGQWEAxrh6PYMJ2x89PKExStYR12QS0ZN1wbLthIBJX/rB1qY0S1h3fbjgMRSS6XOpknHRsh1s3mNj24rkMCsFYhJl0uxPXpf8Tfi9hXeWMrpOEto9dJ/Ht0v9s3BuY/KxBfpK0JTCn8odUopEysc8VFKL3xS9+cZJk7Ic//CG+/OUv45133mElHanztqldKsoAAQAASURBVFiiXjoR+psbb7yRZean9Sj7/OGYShlVVVWFwaFB2G321MlsJ6x7uHCJmaxLF3L/QD/LpaVWxX2S4u/NaLuHW3eiHPYwstXZrJsMOayn81UWjqcriM7QZXoIzkzac6p1KZlhx7YPYNG+yjqs4ZEVcHpXstnS/CozUw3OuD2T0PbHep3Mtu3Fdfe82YaxATcLUVp32UJoNOoZb5dONDmfCgsLozHqaW77VN4jjqrt03yPCPqG4Wp/DmHHodi6UBthqjofuvwVsXZO5v0kE+4RQVcbfAN7MdoXxFB/KfyhqHpBrVGjblUpCqusbEB3zNfJFO15VH3JHNwjtr3UyIoxUFLP9ZcvnLP7Saa1fS7fI8QxoHRdUkYptXnQ5EVVopnS9snuS3xuP1q29MHRHx38s/3UK1C7sgSFlbZYVMCxjiMyre03PXUIkVAEBosWK8+rT9k4IlXXSS7fI47Ul0T8o3C1PY2gszmWYkOhNsJWczG0eUujDok0PWsca9vTc2Z7W3ssEXTUzRF1rUfPbYQVHyHniVIZhFYdVcRAZYJKb01YV0QMaZ24bKbrimsnf93p922m63pdAaaOpOVGuy5+vU273ehRz2Qfomtm9rrBYBAajSbt+ysmMK+qroLRYEyw+9GxURQWFKYngflnPvMZ/PWvf51TZ9SRoBA9Ko040RFFkLPq0UcfZeUej+SIInQ6HXtNRKPWxMo6EtL4ZilThQnO1bqEKiF17RHWVarYDV/6/XS/N+V2M3hdZUTBkpP7Rw+wyjnkBRbXtdVekJp9SGHbS9elm0Bv4whad/ZBpxZgK43eVEw2JeadPg9a/dRmn8nteSzrqjSq6M0zooBCUCScvyNtl2YH6OZKtp6u9kzmurO+R2Rge061Ls1S+fo3wdXxEiJCvDqkvmAFS1SulEiYM2F/k9n2ZO8D/Xlo2zWfJeonaDhQWG1D/apSaKax98Ntd7bHkQl9CassEwmxXDJks+xBIAOv1dhyfo846nPJQiT6PoRvaHc0V8x46ARhrjh9yu0dTRslc91k9SWkJOhvGkPbzj4IkvLtRTU21Cy3wNPxBBwH/NBYamCpPj/1fckcn0u1WoVgKGrndC4zwZb5PWJu+xIS2nh6P4Cr8xUwueR4H2coPA6WmguhVBuzoj0Pty45mej+IDqxxAf+6CRbCAFvVIkSHctK+lll1Lk1FVM5dqZaNv3yuVp67PsmPUcsHea4uumYt5sF60YkuZnmqu1nuq64LxN9IgQtmylJd0YZjUamODrppJOYOsluj8aMi9BOk6op2YgNIzqj/vM//3PSOvfffz8eeOAB/P3vf8dZZ52V9H3gZAYh7yAcLU8g6Gxln8kpZSyJ5wiQMx6HH02bu+EYiMruhXFZP5FXqp3WESVneKUt+TN68G+sMIGIUmOFte5S6PIWQ+723ripG87BqL0TWoMaDWvLkV8+eTJGzqg044OyCFUUjEClnnowxcluQp5+OFoeR9DVwT57et6FqeI05AKeMV/U3oe8CVWzGtaUMXsXgh4ExqKqUMV4GLcc7Tzoo4d3Xh03Vxg79A/4R/bFPiu1dljrLofOPn2+32yD8iuTA46qu5MyjD5TPxbwhWKTTAQ5XbR6BXz+ceeU4Ic6Eg9TzxUoLCwUGJ9881J/P7VTRo5ExsMI2QScxPeR6n2gNmBpS5TKY84PnvQn069+9avs//b2dnz4YTRZWyqcUVQ576233mJJy/fu3YuLL7444XtKqv71r38d119/PZNBSvetoaGBGT8nu6EKE56e9+DqfA0Yj78lwr5ovgg5QxLe7gODaN89EIvBJvIqCmIJ8CLhuGIkJx9SJ1Ta4sgHcjqJzihD8TqYq86HUpKMUY723rV/EB17Eu2dihHUrCyBWiPP0vWHQ6WWVJ0MhnNqcJoLRIQQ3D1vw931JquGJyKIScZkDOUJ6dw/iM69g4n2Pi8PNSvi9q4YT5hLRISZ5+vIJkS7FqvppethjJM69IWrxp1RChhKToC56hwoVZMjVrIZeqCnZ9Oenh50dXWxserE8SqNZaPj2QiEQLQIk0KpgVIzjFwjFAjHzo9Gr4JSlTv9fWQ8ZxddM+m+/5EAiYrHTaeKTJszSkx6lWpuv/12ljj9ueeew+LFi1FfH69sRbz88svs/7/97W/sJYWy2N98880p3V9Ocgm6u+FofgIhT3dsGZVxttDsiS1emUaOuEa8aNzYDfdofHZEb9KgYV05bEV6hH1fYINUhSpezSKXoFK3Inw2VR5MfAgxFK1lSgmS7Wutifd+ueEa9jJ1RIK9m7VoWFsGa6EGiFAYQ+45o7idy5egqxOO5scR8vbFlqn0hbDWbYDWWgs5Qyqoxk1d8IzFnUt6ixbzWP+eGH6soGIZCjWbjIuEZeqM4gpI2UNhuGK1L0KfvxTBslPYpJPWEq1eKkdIXWI3FmJwnx9+TzQxOkHVb8npbM6LjuGFkBfDe55m7zWWWtjqNiDX6Do4iL72EfZ+3rpSWCfcC+WMIAis8ERBQcExO4GOBQrLS5Y6Kytjdu688072kvKd73yHvShX1XHHxUvHijz00EPsxZEXESEId9cbcHe/QyY6vlQBY+lJMFeenTBTKMfZUlJG0IypqH6ivqt8QQGqlxXHZhDVxmh521yFh+nJy95dna8jEvYymT5bNp7EmB5M0z1LNJeQI7VjTz+6Dgwl2HvFwgKUN6gwsud+DLRGoC84DrZ5VyGn7ZwrIGUBqXldXa8xxXP8olfCWPYxmCvPZKoAOdt7++5+dB9MtPfKRYWoWlo0rRKAxjwRqnAkUyU0V0DKF3bNDr8DhyMA+/xrE/pzyn8mZ0jN27arHz2HRJUTqV6AisVFqFpSmGDvEUEDDaIJzDVwsoTnuYZOo0MkGD0nKoUmp86BIAgseTkdczqdUclkzpxRlGG9ubmZ/T+R1atXz9XPxhRQnNzouIZ2/wph30BsmcpQDFv9FdCYqyBnHANupo7wOuMDTqNNx2ZLLQXxZI6ciYNXHqaXrQQcLSwXXNg3xD7r8pdBa42qHuXshCLG+qP2TtXiEux9fQUs+QaEmWQ/IuvwnFmF4/J8MrIIy5vYv6uNZbDWb4DGVAE5M9rnRtOmLvjc0WTNhMmux7z15TF1xHRQ+FI45IEgU2UUV0DKE/9YIxwtT0LhHwH1cv7hPdAXLEMuMNrrQuPmblYtT8SUp8f8dRXs/4koqHKfzBWQR4KP6+VF0p1RlNCKKupRKBwl2JoKKt/J4RwrNANIkl0vDVYVKpjKT2MvJlWXKSGaPdnZj97G4YSEhpVLCtmMaS7FTR/dQyq/92QbQsjHquR5+zfGFypUCPuGAWuDrB1RzN539KG3KSpHF+2dlBEVZO9iBRlJ/ozcHZxyZ5ScoH6cwnI8PdS/q2GuOJMpotiDmIzzoLTu6ENfc6K9Vy8rQvnCuL0fDvFeINf7AFdAygsKOXO2vwDfwJb4QoU6J3LBkb23bO9Ff8tobJlSpUDVsmJULCiIVYibCqXGzCoL5mr6DT6ulxdJf2q/5557mDqJQuKuu+46/PKXv4TJZGLOqaamJvz85z9P9k9ychhz9fms0zJXniP7cLSRHicaN/cg4InPnpjzDZi/vhxG2/QSVd/QLghBJ3tP4Yu5Bh+8Zi/+kf1wtD4NITAWW6YxVzN1hNpQDDkz3O1klTHFks6EpcDA1FBGa2LyVoWSwpFp4BqRrSLiSPCZUvnlgqNQPCHogKn8dKgN8i4yM9TlQPOWngR7txYaWe7HifZ+OBTK8XVJNSGEZee84wpI+eAb3gMn9e/BaMgZEdGVI3/BVdAa5d2/D3U60LSlB0GfxN6LjCy6wWA5sr0XrfoKchk+rpcXSXdG/etf/8Ldd9+NT3ziE8wZtX79eqxZswY33ngjbrrpJjzzzDO48MILk/2zHJlDJYud7c+zB1FjyfrYcqXaAPuC6yFngv4QWrb1YqBtLGH2pGZ5Ccrm5x929oRwdb7KKgrSjGlOOqN4+E7WIQTdcLY9B9/QjgSHi7nqXBhKjodCIV8FIA1Om7f1YrBdYu9qJWpXFKN0Xv6USjBaRueHQvTkmivmSPCZ0uyFHkYdbc9BYyxl6mYRyglla5B3/jMq3d6ytQeDHdHqWHF7L2HV8mar/JxYUU+hlFfYPldAZj/hgBPOtmfhH96d4EQ1VZ0HZ6Qaan0h5ErAG0Tz1l7mjJJe07UrS1DSMHt7z1X4uF5eJN0Z1dnZiQULFrAs65Rca2QkLje+/vrrcc011+DXv/51sn+WI+OZUuqwnK3PMAWUf2QvdPaFUOlsyIVjH+pwoHlrD4L+eHiZrcSEeWvLWQWtmRCX7QdyshQyn0HJLkK+YQzv+TUiIU9smdY2jyUsV+nyIFfINskBRY6okMTe7aVmVilPbzq8vbPExcwZlavKKJ7APBuveXI404NpJOSFf3gvdHlLZK+CEo+dJphooonCdUTyysxoWFMG3RHsfTomheyq5eaM4jkgs5mwfxRDu37BipCIaO0LYa29DAqNBc7+fsjV3vtbR9G6vS/R3svJ3suhM8q3GMNcwPt7eZF0Z1RZWRlGR6Pxr3V1dXjzzTdx9tlns88HDx5M9s9xZAwl5SUJr39kn2SpAiFvv+ydUX6aPdnSg+GuaHidOBNQd1wpiuvss3IoxQenERZjDhlXGDzi4JUnNs54yOGkNpYi6Ghm+RAsNRdCX7hK1k5UvyfIQvJGeuLhCmqtitl7Ua1tRsfO7Dzo5AnMuZ1nzUOpo+UpBMbi40KFSsOWy90Z5XcHWMg9JS5OsPdVpSiqmZm9Twfl2VLp8lkic6ljSi5wBWR2o9LZobXWsYllhdoIS83F0BesYNc8VQmTIz53AE2bullhAhG1ToX61WUorLLKemwzV6g0fFwvJ5LujDr99NPxzjvv4JJLLsF//Md/4Mtf/jL27dsHrVaLJ598Etdee22yf5IjwxkE78BmuNpfRCTsSxhkWWovhUprhZyPva95FK07ehMqv+VXWNhsqdYw+9kTJcsnE4XyyahyzRnFE5hnNBPVevSeVFDuztdgrr4AKq0Fcj52Sk5OScqljtKCKisbqGr1M++iuQKSK6OygUhEYMUIXO0vISLEQ0p1+cthqb0YKkrMK2d7bxxG264BCBJ7L6y2om7V7Ox9OgyFx0HOcEVE9tn7xLB6S+0lUKqNLOxeqTFBrkSECHqYvfdPsHcb6leXQqM7env39G9C0NHCxvRMNS7jcdKRw3V5YaJsJ+nOqO9+97sYHBxk7++8807W+T722GPwer34whe+gLvuuivZP8mRESHfEJwtTyLgaI4tU6pNzAmly18q6xkErys6e0Jl3EU0NHuypgwFlUc/e5Ig22dl33O405I4+DjpJ+QbhKP5SZgqzoDO1hBbrtYXwDbvE5AzXqcfjZu64RiIhyNq9GrmdCZ7ny1cAclnSjOdkHeAlW8POltjy5QaC+vf9flLIHd7797ugM8RT1isNaij/XuFfCfYkg3PFZM9UBSDo/kJGMtOhj5/WWw5TShTERI54xnzsf7dOSQJRzSo0bC2HPnlxz4GD7o6Yjk1WUqDXHZG8XF91pN0Z1RpaSl7iXzxi19kLw7nSPjHGjF68G/RULJxKDzHUn0hlBp55T2YOHvSfXAI7bv7IYQjseXFtXbUHldyTLMnRK6XfeeD18wjEgnD0/M+S65PVZ+cLWPQLr8jIfmunO2968AQOvZMsPc6OwvLo3Cdo4HCckS4ApLPlGYagbFmjBz4M7N3EUPRWlYRlwqRyBWB+vf9g2jfM8BsX6SkPo8lLT5ae89V+ENo5kNVHN09b8Pd9QYNOuFsHYbW2iBrO5fae9e+QXTsTbT30oY81JC9S8LLjoWJ/X2uwQsZyIukO6M4nKNFY6qAUqWHIASh1NqZ9FRnny/rE+oejc6euIbjsyeUyJBmTyiRaTJIdEblXqUtqjZIorJIhM+gZAJBdw8cLY8j5O6OLYsgEs0VI/Nyzu4RHw5t6mL/i+hMGlbO2V5ybPZuqjgTxtKTmUMvFwb9E+EPqZmNxlwJldaGsH+I5TSi/l0rUUPKEerXqX+nfj7R3itgL5m78KSIEIpOPCnVCQ+tcoDngMxsgu4uOJofR8jTm1ApTwg4ZN8vOcneN3bBMxZ3DlGhIerfbcXJtXeqnpvLk8w0rqeq4jShx5VR2U9SnFErVqzAP/7xDyxbtgzLly8/bDgRfbdjR7xcN4cjQh0VyfUDjqZoLLnMBlFShLCAzn2D6KTZk/jkCcrm56NmeXFCcr5jJdeVUXTPofNJFUx4AvP0QQ9INFNKM6aIiOGSChhLT4S58hxZq6LI3mmmlGZMpfZevqAA1WTvEsn50aIxlSOX4QrIDM8Fp9LCWn85/CMHYK48S9b2Tv0Ms/f9g6xuiIitUo+F62qg0c7dPLB3cDscTf9i7yk5NN1f5QTPAZmZ0ESnq+t1eHrejRbLYShhLPsYzJVnQqHUyNve9/QzxXPs0BVAxcJCVC0tSkr/fuT0G7kHjeuFcIiP62VAUnrENWvWwGQyxd7LOa8PJzlQvLOz7QXY5l/NZktFKG+E3HNHOAc9OLSpG15HvAMxWLSYt74C1sLkhyPmupyXoMEAd0alj4CzjeWOCPsG4m1iKIa1bgO0lmrIGcoJ1bipC15nXJVosOowf105LHNg77kKV0BmDgFHK5xtz8A27xqoDYWx5VprPXvJmbEBN1ND+ST2brTp0LC2DJ6Qc04eTHNJMcEVkJkH5Xil3I+kehShirjW+itYxIOcoRyvzN5dcXs32fVMDWXOnzslWK5HPIj3AkrqEgrysPxsJynOqD/96U+x9w899FAyNsmR8+xJ56vw9L7PZk+cLU/DtuD6nHBg0uxJ264+9Bwcji2jw65YXIiqJUVQquZmkKrUmFlYBM1Ey3l2aiYD2DDvtFKOp+8jOFufic+WKlQwlZ/GXgqlfCPF6VqjKjo9hyT2rlSgcnEhe82VvecqXAGZfoSQD66Ol+Ht/4h9drQ8gbzFt06qpiVH6IGobWcfehtHEuy9akkhKhYVMqWEp9855/sh98knroDMLDz9G+FseSq+gPr3ijNgKjsVCqV886HR5Gbrzj70NSXae/XSIpQvKoRSObfPNLke8ZAwrg8Jk5S4nOxCvk8CnIzDP9YEZ8sTCPvjN+9wwIFI2AeFzGPJR3tdaNzcDb87npzdlKfH/HUV7P+5RF+wgr1yGXEAS/HllFSSBg2c1MDywihULHGx2lQRnS01xotcyJGRHheayN49cXunWVKaLaVZ07mAcm4F3d2ICAGWn0etjytSck4ByZ3OKcc/egCOlqcgBMbiCyNhREI+KGRcgIQY7naiaUsPAhJ7txRE7d1oi9q7IKSmkqvcw3e4AjKz0NkXwaV6iY3jNeZq1r+rDUWQM8NdZO/dCHjjxRhI5czs3Zqa9CJyV0DOyjEdiY7tVWo+rs9pZ9Qtt9wyq/X/+Mc/JuNnOVmCEPLC2f4CfANb4gsVapY3gkq+KuhBVabQg1HL9l70t4zGllHSvaplxahYUMCdImmqvMErGM0dE2eoyCliqT4PkYgAY+lJslZJBP0hZu8DrWMJ9k55ocrnz629B8YamRKFsNRelrPOKILnhksdQtANZ9vz8A1tjy9UamCpOheGkhPkb+/bejHQlmjvNStKUDYvPy39u9zDd7gCMrP6d5XWynKTkTPKUHK8vO3dF0Lztl4MtkvsXa1E7YpilJK9p1CZQ8We5KyAPBqV5FyHQHMy3Bm1bdu2hM9dXV0YHBxEfn4+iouL0d/fj+HhYRQWFqKysjIZP8nJEnzDe+FsfRpCMC5P11hqWa4YaS4JOTLU6WCzpdSBiViLorMnBot8k7NnItKE8NwZNXf4hnezENy8hTcnJCgmJ5TcB+hk781k7/54/gKqoNNA9m6e+2TNcldEzASugEztNe8f3gVH67OIhNyx5VTCnSrlqfT5kPOxD3Y40LI10d6pQh5VwqUKWukiF8J3uAIyPde8b2gnPN1vIW/JfyRUxjMUrYLcj50czuR4pglmEXupmeWC05tSb+/S8VXO9vfqxHE9J3tJujPqxRdfxGc+8xk88sgjOOOMM2LLX3/9ddx666347ne/m4yf5GQBjtan4e2L5o4Qy7uaq8+DoXidrGdPAt4gmrf2sodT6eCpdmUJShryeFxz2pOe0mAiN3NnzRUUbkt5ofwje9lnV9drsFRfgFyA7J2cziTdlzpF6o4rRXGdPWX2ngsPobOdKeUKyLnD2fYcvH0fxD4rVHpm8/oieRexodBbcjpTaF6Cva8qRXFt6uw9l+8DXAGZWigEnMbzgdED7DNFOtjqr0AuQPZOIfcUei9C/QrZe1GNLW32rtRYoCtYAaVSC425BrnI5HE9J1tJes6o//mf/8G3v/3tBEcUceaZZ+Luu+/GV77yFVxwQW48pOQ6NEMqOqO09oWw1l4Klc4OOc+e9LeOonV7X8LsSV65GQ1ryqEzatIWRuFofhyCEIDWXAVz1bnINXjS0zmcLR3YwganJNMXCftGWFienJ3OzN5bRllYXjgYn5XLr7Cgfk0ZdIbU2rvcw3OOZqaUO6PmDn3e4pgzSpe3FJbai1nIjpztva95BK07+hLsvaDSivrVpdCm2N6nQ1qkRK73Aa6ATA3Uh3v7N8HV/lKC+oacnJFIWNYpNsjee5tG0Eb2LlHdFFSRvZdBq09vymWVzgb7vKuRy/BxvXxIujUdOnSIhedNBS1vampK9k9yMhR9/lIEitdBY6ljCbTTPWM4l/jcATRt6sZoXzxcQa1ToX5VGQqrrWk/dv/ofva/nKuXHQ5eDjr5hHzDcLY8iYAjfk9XqE2w1l4CXf6ytF/zcwmVcaaCBGMSe9eQva8pYw+n6Tj2XFBEHAmugExdrhgqTGAsPw0aUzn0+csgZ7xOP7N3R78ntkyjV7OH0sKqzHLA0QQAJTemQgaCZIJATnAF5NwT8g6yHIRBZ2tCZWZL7aVsbC9nPA4/U0M5BhLtvWG8f+dkBnxcLx+S/mS6ZMkS3H///TjttNNgNptjy51OJ1tO33NkOHvS9xGC7k5Y6z+eMGCl3BFyhiqz9TQOsxLugmT2hOS7JOPV6NLv/OGKCT6Dkmx79/R+AFfnKyS7iy3XFx4HS/WFUGpMkLO9dx8aQjvZezgSW15Ua2Nheem0d5Lri/CEpjyHRLIgBQTZOzmd7QtuSFA7UpJyOcPs/eAQ2ncn2juF31LYfSb079P1+eSMopcc4QrIObb3nvfg6nyNVcAVofBbCsOV5oqSo713HRhE++4B9l6kpD6P2TtX2mYWXBklH5Lek/785z/H+eefzxKVU6iemMD8jTfeQDgcZjmlOPIh5O2Ho/kJBF3t7LPOvhj6AnnPkop4xnxo3NQN55A3tkxrULMEpvnlFmQKTA1Fcmoqs80VEwkhFpzZqyNG9v8JQUdzbJlSa4O17jLo7AtlfTrdo1F7dw3H7Z1CbymBaV5Z+u2dJzDnM6XJJujpZSHeIXcX++wd2Axj8XrkAszeN3bBNRJXF+lMZO/lyCuNT7RmIrb510QVUpKKW3KCKyDnrn8f3f8QApL+XaXLg6VuA3S2BsgZ14gXjRu7md2L6Mne15XDXmLOKtVqrsCVUfIh6c6ok046iYXqPfDAA9i4cSP279+PsrIy3H777bjzzjtRWlqa7J/kpIGIEIa75224u95gTg6RkKcHkLkzSqDZk32D6NibOHtS2pCHGpo9kVRuyxSo8kYk5M1hZ5Q0lwxPdHi00IBHZ5sfc0ZR6XbKQaaUhIjJDSEsoHPfIHtJ7Z1Kt1evKM4Ye+cKSD5TmiwiQgju7jfh7n6LPohXGAT/KOQO2XvH3kF07RtAJG7uKJufj5rlxQmVWTMVrUXeCY25ImIO+/eCFePOKAWrgmuuPDuhcpss7X3PADr3DwKivSuA8gUFqF5WnODwyDSGdv0CYd8QFGoDilb9D3K7SjYf12czc6IxLikpYSF5HHkSdHdFZ0s9vbFlKn0BrHUboLXWQc44h2n2pAuesbhTh8o4z1tXzsq4ZypUyTCCHHZGTaiyxTn6WTdj2ckIenpgLDkeWkutrE+lc8jD1FBSezdYyN4rYC0yIpPgCkg+U5oMAs52lism7O2PLVPpi2Ct3yB7J4djMGrvXofE3q061r9bCzPL3nMZroiYu/7dULQWIXc3DEWroTFXQc44Btw4tKkbPmc8nNVoi9q7pSDz7T0iBKOhuOHMdZil7D7Ax/VZTWYGvHMy9sZHceSennfp0/hSBYxlH4O58qyEKi5yg250HXv60XVgKGH2pGJhAaqWZvbsCUHKFXLBUEW9XIQPXmcPVWJieSOUqoTcMFRBR+5VXMjeKS8U5YeS2nvl4kJULSmCUpWZ9q5U6aNVjmQ8k304uALyWO39FZYfKnbRK5QwlZ8GU/npsi5+QWXBKe9jz6Hh2DJ6Pq9YXISqJYUZa++5Cp9cOnYor6Cr42UW2SDN7UqOKQq7lzMhsved/ehtlNi7UoHKJYWoXJQ99i7289HqhrkXqsfH9fJhTkYXb7/9Nh588EEcPHgQPt/kah47d+6ci5/lzCFC0IPhPb9B2D8UW6Y2ljI1lMZcKetzP9bvZrOlVEFLxGTXs9kTc352JHOMhfDQTIrMS/JOBR+8zo7AWBMcLU8i7KfBmgL6vCWyt3OR0T4Xq4zpc8eTs5vyxu09L7PtvXD113NuQCqF2/nRIYR8GN79C4T9I7FlalM5rPVXQmOUd2qFkd6ovfs9cXs3k72vr2D9fDYSdHcj7BtkDgeqdCi3pNP8IfTY8I8ehKPlKQiBaNitPn85q46ZC4z0ONG4uQcBqb3nGzB/fTmMtuyyd4p4iBKJFpPJsUko3t/Lh6Q7o1566SVcdNFFOPvss7F582ZccMEF8Hq9eO+991hSc6qyx8k+lBoj1MaSqDNKoYKp4gyYyk6FQilfp0YoEEbrzj70NY0kzJ5ULS1CBc2eKLPnoU+qlKAZcIoxzyX44HVmCCEvXO0vskTFMRQqVqhA7s4oZu87etHXHM+Lo1SRvRczBSTZfqaTy44ogtv50aFU66Gx1iM8sAVQqGGuOpvli5HzpEXQH0Lr9j70tybaO+WJoXwx2WDv0+Ht3whv/yb2XmOqkKEziueKOdpJZWf78/ANbosvVGoQDoxB7pC9t2zrxUDbWIK91ywvYfngstHepXkiKepBlWvOKGmYHi9MlNUk3Rn1rW99iyUq//73vw+NRoN7770Xq1evRltbG8477zyceeaZyf5JToqw1F7CEptaai6A2lAs6/M+3OVE05ZuBLzx0raWQiNTRxit2ZesWVpVh+WNktngdHaJDnnOqKnwjeyDk2ZLg87YMo2llkn41YYiyJmhTgeatvQg6IvbO+WEIns3WLLP3nMVPlM6cyaGdVDZdpqoMFedA7W+AHJmsMOB5q0T7L3YiHlr5WHvicUM5Jcnktv57G3dP7wbztZnIITcseVaaz2rlKfW50POxz4k2rs/nuTaVmJi9k45X7MV5UQ712R21b9kw8f18iHpzqh9+/bhu9/9LpRKJRvouN3RG19NTQ3uvvtu9rr++uuT/bOcJCIE3XC2PQtd/lIm8RZRaa3IW3STrM81DU6bt/VisF0ye6JWonZFMUrn5Wet8kBnXwiV1sYUUgpl9na+yUl0yKtuSBGCLjhan4V/eFdsGV0j5urzYShex0qEy5UA2fvWHjZYlV4rVBWTqmNmq73nKnym9MiEA072UKq1z4exeF1sOaln7PM/CTkT8AbRvLWXOZ+ljo3alSUoqZePvcfDd2TqjOKKiBkTDjjgbH0a/pF9CZOT5HzWF62RzTU/FX6y9y09bHJZau91x5WiuM6e9ceeGPEgPzs/EnxcLx+S7ozS6/UQBIEZeVlZGZqamnDKKaew7ywWCzo6OpBO9u/fjzvuuAPvv/8+258bb7wR3/nOd6DV5t4D+lQzCL6hncwRFQl5WHlXmjlRqjO/qkQyjp3kuyTjpXAdEXupGQ1ry6A3Zff1QZVRchk+eJ2aoKcXI/t+j0jIG1umtS1gCUxVOjtkbe+tY2jZnmjveWVk7+XQGbOzGIN3YCsCzhamcLHWXgIlnynlSPv3wW1wtj2HSNiHgKMROvsCNkmRC8dO4XjUv0vDOfLKLWhYU5a19j4jZZQMi5ZwZdTMCHkHWK5XsncRXd5iWGovZZPLcrZ3CrensHupvedXRO1da5CHvctdAXkkKMySCstQyiweppfdJN0ZtXLlShw4cADnnHMOzjrrLKaSKiwsZCF73/zmN7F8+XKki5GRERYmOH/+fDz++OPo6urCl770JXg8HvziF79ALhP2j8LR+jQCowdiyyJCGCFPP7RWeZdvp8SlTZu7MdLjii1Ta1WoW1WKohpb1s+ecKK5vqjjEsIR3mlJUOuLoNLaEQp5oVAbYam5CPqClbK+5n3uAJo292C0N9He61eXorA6u+2dHFG+ga3svVBxZu45o7gCckrCvmGWsJgcUDEUKrZc7s4oZu+bujHaFw9P0uhUqFtdhsIqa1bb+0wUE5TEXG7wyaUZnid9AdTGMgSdLVCqTcwJRREPcrzmRbyuqL1T4SERjV6N+nF7lxNyV0AeCbqO6V5AjijujMpuku6MonxRLS0t7P33vvc9XHLJJbj00kvZZ0pg/sQTTyBd/OY3v4HD4WD7kJ8fjZEOhUL47Gc/i//3//4fysvLkWtEIgI8fZvgan8JESF+M9PlL4el9mKoZPwwQ7MnvU0jaNvRl5BHqKDKyjourV6+paxzEeq0hHCY54ySQAUIrPVXwNPzLiw1F8raecHsvXEYrTv7IUjsnRxQ9atK2YBVToNTOT6EHgn+kDq5f/f2fQhXxysJChlyOJPjWakxQa5EhAh6GofRtrOPTUKI0AQTTTRpdNlv7zPOJSMzeK6YmeWBoxB7a/3lcHe/DUvV+awQkZztvfvQENp39SfYe3GtHbXHlcjS3uWugJwJMWcUzwWb1STdOi+88MLY+4qKCmzZsgWNjY2sot6iRYvSGg73wgsvsCp/oiOK+MQnPoHbb78dL7/8Mm6++WbkFMFRjB14BkFna2yRUmNhsyf6/CWQM16nH42buuEY8MSW0cMoSXgLKuU1eyJ9MIkIQTZAUSjlIVOe7QCWEljmaqdFkn1SR1ABAqqwJKIxlcM27xOQMx5H1N6dg3F71xrI3suZdF+WD6E5ODjlCsg4pGp2tDyOoCueGkGptbEQXMohKGc8Y76ovQ9Jwo+NGta/55fLx95zNXyHKyAnE/L0wdHyBMxV57L0GiJqfSFs9VdAzrhHo/buGo7bO4XeNqwrR16pfCfYomHWFmbvpIDLRZhj2hvK2XG9XEiqM8rn8+H444/HD3/4Q5x77rlsGXnpKSwuE6B8UbfcckvCMrvdznJb0Xe5hH9kL9DzKIKReL4UQ9FalrRYbmWAJ86edB0YRPvuAfZehJKXUhJTCteRI97BHXA0PcreW2ouhrH0ROQa4gA2HAxPmkGUMxRu6+l5B66u1+nJBI7mJ5C/9DNMFSV3BLL3/YPo2DPB3hvyULtCfvYu94fQmcAVkNS/78PooX8yexcxFK+Hueo8KNXxyqpyQwgL6Nw/iM69gwn2XjovDzVk75KqqnIm8T4gP6c0V0DGoQrX7u632Cvavz+JguWfTwjVlLW97xtkL6m9l83PR83y4gQFnRyhKsdyr3Q803sBqd1zaVwvN9TJTl5OeZiokl4mQjmjyPk0kby8PAwPD0/5N36/n71EKMyPIKUX5cEi6HjpfTAYZMnbRVQqFdRqNQKBADMSEVpG301cTtugbUl/T1xOBkbrSyGVGf09/a4UnU7H9kO6nP6e1g+Hwyw0MaQsRCCoghJh6Ex5MFReDJWpBn76k6A3K49p4nJaRt+JeJ0BtG8bhGPYzVRC7PdMGlbetaDMxvYl6A1k1THNtJ38QQGBEKBS0k3bxxzH2X5Ms22nMEIIhYNQKdUIBel96IjHRL9PyybuY6Yc05HaSREcZLOlfldfbFnI50PIPwqFxpaR7ZSsa8816kXr1j4EXAKEiABBCDN7r1tVAnuxGUp1dNvZdExHaicoNQgLYC+vx4mIYe7v5bQubZf6RGnfn657BCU39nn98PnCbJ8ysZ3m2p5UpmqEInpWxl2lzYep5iIY8+cholDEzkm2HdOR2sk14kXz1j74HH52j2fbMyqZvVsLjQiGAkw5mK5joj6X9l+0k7m89sLjb9l9wOuGerzNM6GdjvaYJraTgBALx/L5ovcfORzTxOVHOqagqxOu9ueAwAAb2wVDQFgFuB0DUOnzs+6Y6DvRRmjZ4dppqHeMVcYke49uRwWTVY/KFfmwFBgRCAWAUPqPSa7XXqYckzA+rifcLg+MJoPs20kQBLbNTL/vTRxrpDRM74orrsCjjz7KwuHkwH333Yd77rln0vKf/OQnzPlGUPjhaaedhrfeeitBYbVmzRqsXbsWzz33HDo7O2PLTz31VCxevJidJ3KQSUMcq6qq8Mc//jGhQa+66iqYzWb86U9/StiHT33qU3C5XPjXv/6VcKGQ+ouqFj7//PMJDjcKSdy3bx/efvvt2PLKkjxcdOnVePPDHdiy5ZHY8qw+pspKXHTRRdi8eTMLExUpt9ViSdlaHOjbhu6xeGjikGoN1qqy85hm105anLY0hEX2ETz6+IMyOabZt9MJdeegs70Lf/n7n2d0TBs2bEB7eztefPHFjD2madvp7CDcXuDR9+KzpBpNALdUBdHRsS2j2ykZ155Ja8WJ9eeiZ6wN+3rH9317dh/TYdvptAZsbVJhSxPNCL/EXnN9TFdeeSUb9Pzud7+bm2OaZTuVKOZhR9cHGHb34bW9GdpOKbj2/vwaDWrJ7ilR/yOyOKap2sloMOHPf3ko4ZhOn38ZNIUCXvrgGWBbZhzTI488gtHR0Rkd0zG3k92KT5yoxoEeNd5+eQ8AesnzvldgLkH1WrusjumI7fTmG9h/4GD8mBpUWDs/gpd22dHZ5wTw++w7phm20ykfOxXFumq8+M7TcAcc8eWrz0LpcYX4/UO/zbpjkmM7peyY3o8f0/Y/2nH11VfnRDuVlJSwfNxbt27N2GOSOsmOhCIidYUlgT//+c8sGfiqVavYwdAJmyibI4dVOiguLsatt97KHExSKLfVDTfcgPvvv39GyihqoN7eXlit1ozzRM54VkkQMDg4iKKiIuZUy2Tv6kyPaeJyWjbS70TLtj74nQGWK0mlVEFrVqFmVTEseYasPKajaaegqwtjB//EZs9MpcdDV3Zu1h/TbNuJcgoMdzrZrPmqCxqgnKBin04ZRTZfUFCQNcqogLMN7rbnEA4Mg1Tq9NcRTTHMNRez/FCZ3k5THdOR2kk8ppE+Jw5t6oLfNf43CgWseSbUriqG3qrJymOaTTtF3I0YOfhPpogwlp0OY9nHUqKMor7EZrNlhDJq/ztdGO13sN9ee+l8KFXKjGunZF57rsGDcHe+CkvDVaxcuxyOaabt5BkJoHlLLzzO+AyswabDouOrYbTrMuqYSBk1MDDAqkvPtTIq09ppLo5pxyvN8LuCUGlVOOmKpbI4ppm0U8TbjpGmJxHyxR2bOlMZ7PM2QFAXZOUxSZVR1JeIFdgnthNVyGvfMYCgV0BICFEiVGbndatLYS+0ZOQxzeW15/e5Wa6wSDgIpcYAo706649ptu104MN2DLZHnZIrzq6DrdCSE8qooaEhVnSN3mfqMdGzU2lpKcbGxmL+kpQ5o44UokcHMRtvWTIhDyA9VEor+tFJIs8jef9mksCcTi4NumdycjMZukj7+/uZgy5TwyqPhVAwjLad/ax6ljS5beXiQvaiB5RcIuTtx9DOn7L3+sJVsDV8HLkGOaP6mqOe/+PObYApTy87O3FTbqj2FxPKt5sqzoCp7BQoxkNX5Aiz9x19rDqm1N6rlhahYhE9/OVGHgH/WBNG9/+RvTeWnwZLVTR341ySaTay9+02jPSQGghYf9lCWVRJnAoKt3Z1vAhv/yb2WZe3GLb51+VEzoxQIIzWHX2x+7lo79VLi1CeofaeaXaS7Wx/qYklrqbL/cSrluTEde/ueReu9hfiCxRqmCvPhrHsJCgU2Z8faTobIXtv2d6L/pa4A06pUqBqWTEqFhQw289FQr5hDO34MXuvK1gB+7yrkWs0bemJPeetOLselgL55jzOtr5kNv6SpI/SWlpakKlccMEF+N73vsek0mLuKJKUUWOKCdc52c9IjxONm3sQ8MQ9tOZ8A+atK4fJLt/krTMt+S7HhKYzIRcq8ESr6NDALAKNuRrWug1QG4shZ4a7nWja3I2ANz4TRgOSeesrYLTGr/tcQClJWpuzCcw1UjsXoJFpgnKqjCkEKSQnihD0sAqK0uTVcmSoy4HmLT2J9l5oZP17rtl7LiPaOU2nU/JqhUr+DgmdfRFcHa8AkRA0llpY6zewanlyZqjTwRwOQV/c3q1FUXs3WHLb3hOq5/L+Xjbj+ghVPc+xiudJd0bV1NQgU7n99tvx85//HJdffjkLJaRk61/5ylfYcpK7cbKboD+Elm29GGgbS5g9qV5ejPL5uTt7QvAqW5MfUuWIxlTBlFBUEdNQcgILTZUrNDht3taLwXaJvauVrIpO2bz8nLR3pcYCXd4SZu8aUyVyEZU6rhAIB+Vl50LQBUfbc/AP7YwtUyi1MFefx6rlydneA74QWrb2YLDDkWDvVBWTquXlgjKGM31FPTmq3SdWB1MbCmGpPo8png3F6+Rt794gS1BOzihpm1PVa6qGy+2dLgM++ZQ4yZzd/X044ICz9Rk2oWxfcC1yiaQ4oyh2kcLfZgtVsMvPz0eqoHC81157DXfccQdzSFksFtx222347ne/m7J94MxNhz3U4UDz1h4E/XHPuK3YxGZP9Gb5l7idVacl5KhiYsLgNduved/QTvgGt8K+4EYolPEHcHPlWZAzdOyUI6B5Ww9CEnu3l5rQsLYcelPu2rtKZ4d9wXXIZeSogIza+w44255DJOSJLdfa5sNadzlrd7lCx04TTDTRROE6IvZSM+atLYMuh+39cLg6XkbYP0LeStgaroLckLMCktn74HZ4+z5C3pJbE1QSxtKTIGfo2PtbR9G2oz/B3vPKzWhYUw6dUU4tfYwo1My+ERFyVxklg3F9hOx9YAuc7S8gEvaxZb6h3dAXLEOukBRnVF1dHcsCT68VK1Ycdl23281yNv30pz9lDqFvfOMbSCWUNf7VV19N6W9y5g4/zZ5s6cFwlzNhkFJ3XCmK6+x89mQcNoNGAxohCCFXOy2ZKKPC/jE4Wp9CYPQA++zpfRem8tOQC/g9QTRt6cZIdzQnEKHWqpi9F9XauL1zZGPnUhwtj8M3sDX2WaE2wFJzMfQFK2V9zfvdARaiI+YAi9n7qlIU1XB7Pxy+kX0Ie/tZvy9LZ5RMFZDkQKQQ3MDYIfbZ1fkaLNXnIxfwuQPo2eWEdySe61WtU6F+dRkKq6yyvtcdDXQ+KAVHJOzN3fQbMujvHS1PMGeUiEJtijoZc4ikOKPee+89/O///i+roNfQ0ICTTjqJOaWoUhtlh6ccTZRLisoP0rqUr+mrX/0qC4/jcI7Wk9zXPIrWHb0JA5H8Cgvq15RBZ+CzJ1PFlwtCMHc7rSwfvEYiArwDm1mCcuksGKumMkHOLzfo+Cg5OSUplw44CiqtqF9dCi23d46MZkonorMtjDmjdPnLYa29GEqNGbK298YRtO7sgyC19yqy9zJoZZqUPtn9PdOVUJ8fEWQX0iU3BSTr3/s+Yoo2yv0mQnnhZN+/CxH0NA6jjew9HK+pVVhtY/27RsftfTooJJ85o3I24iG7x/WEvmBlzBmlLzwOluqLoNQYkUskxcKXL1+OJ598Es3NzfjLX/7CQuEeeeSRhJKA1dXVOPnkk/G3v/0Nl1xyCSsnyOEcDV5XAE2bulmZVxENzZ6sKWMPp3LutI8FW8PVrNQ9zarnIokzKNk1eA35huBofgJBZ7xABD2MWmovhT5/KeSM1+lnlRAdA/HwJKqQ1jBu7xyO3GZKJz586vKXspxQFJanz18COeNx+Fn/7hiUhCMa1NH+vYLb+9EWLVGo5VW8RQ52LhLyDkT7d1dbbJlSY4W17jLo8hZB7vbeuLELziFvgr1TyH1+uSWt+5ZNKTh4xEP2jOsn9e+2BpjKT4fGUg2dfSFykaR6hOrr63H33XezFzEyMgKfz8fyQpFCisM51tmT7kNDaN/VnzB7UlxrR+1xJXz25AhobVRpLXfJxkSHkUgYnp734ep8lVXQEdEXrYGl+gKWqFzO9t51cAgduyfYe52dheVRuA5nMkO7f42wfwhKlRGFx30p505RNs+URoQwC7sltaNt3idiy2ngSg+mckag/v3AINp3DzDbFympz2NJi7m9H2PRErk5o2SggCR7d/e8DXfXG9RIseXkeDZXnQelzNpMihAW0LV/CB17E+3dWqbDwuNroNXx6IaZIHcFpJzuAxEhBHf32wi6OmBfeGOCQ8pcdQ5yGfVcJwzncJKBe9TH1BGu4fjsCSUypNmTvDL5hitwcrPTEgeqI/t+xzouEaUujyUs1tnmQc64R3w4tKmL/S+iM2kwb205S1zMmR4m2Q95IRnf5xTZqoAMurvhaH4cIU8P+6zLXwJ9fm4kMHWNeNG4sZv18yJ6kwYN68phL+H2fjTIvWhJtiujyHEwsvd3CLrj/btKVwBr/QZorXWQM85hsvcueMbi1yUVGqpfWwp/xA21hk80zRS5KyDlMskcdHVG+3dvH/tMYXmG4rXp3q2MgcfKcTJ+9qRz3yB7SWdPyubno3p5Me+0OLIdvFKFPI2lZtwZpYCx9ESYK89JeMiQo73TTGkX2bvEmVK+oIDZu3TgwTn84JTUEHLPNZLNg1ORiBCEq+sNeLrfIQsYX6pA2DsIuUPtw+x9/yAg2rti3N6XcXtPqjJKZmSzApIgBYsub/G4M0oBY9nHWCVcaeU8Odp7++5+dB8cSrD3ioWFqFpaxHI290vSb3BmYecK5bjTOcecURk+ricHIRUh8PS+R5/GlyohBONFOTjcGcXJYJxDHjZbSjHlIgaLFvPWV8BamFvJ3ZIBhX5Q7iEamNIgSM4ScDkoowhzxVkIeQdZtTytpRpyhnLE0Gyp1xlP3mqw6jB/XTks3N6P4iFUiIZ2KuT7cJPtdh5wtrJcMWFf3PGkNpQwdYTGXAU5MzbgZmpnn8TejTYd5q2rgKVAvuHH6XBGCTIsWpKNCsiJkwPkgAp5+9lEk8ZcCTlDOV6Zvbvi16LJrse8deUw50ftXRAy+36diVgbroRCcRWVYMu5iadM7+8DY01wtDyJsF9SHdJYBmv9FdCYytO6b5kGV0ZxMnP2ZNf47Mk4dI+tWFyIqiVFUKq4OuJo8PR9AG//JvY+f9nnoFTn1s1QJZF+hzJs8ErJJ10dr0Cls8FUdkpsOamg8hbeADkTDobRtqsfPYeGE+y9ckkRKhcXcns/lvCcsF/WM+3ZOFMat/eXWPWsGAoVS2JqKj8VCqV8h2YhsvedfaxanohCqUDVkkJULOL2niyUSrkrozLfzkWEkI/ZOxWPsVSdm6B+ts27CnImFAijdUcf+pon2PvSoqi9K3PPgZLsnFG5jHRcT2PJTEAIeVnVa6p+HUOhZspHY+nJzO45ich3xMPJSkZ7XWjc3A2/OxhbZsrTY/66CvY/J3mx5bmGUqVgknBSymbSDIp/9BCbPRECo6zD0tkXQ20oRC4w0uNCE9m7J27vNEtKs6U0a8o5tsEpOT2o6mIuIX1IDWWQnYuEgy4M7/4VhMBYbJnGVMXUUGpjCeTMcLcTTVt6EJDYO6mgyN6NNm7vc+mUlhuZrIiQ4h/ZD0fr0+P2rmTVbzWmCuQCw11k790IeEOJ9r6+AkZrbjtROMmBnJnk3KQ0LpnglBZCHgzt/BmEoDO2TGOpZble1YaitO5bJsOdUZyMmT1p2d6L/pbRBOdB1dJiVCwsYDcbzrEh94SmR4IkzDSApYFrpnRazrYX4BvcGl+oULAExnJ3RgX9IWbvA61jCfZOeaHK53N7PxbknitmVjOlGaaAJJRqE5Po++nhVKlheeAoTEfOVZCYvW/rxUBbor3XrChB2bx83r/PAWpDMfQFK9j9QKXPh5wVkJnodBaCbjjbnoNvaEdsGSkew75h2Tujgr4Qmrf1YLDdEVumVCtRu6IYpWTvORhOxpk71Bolgv5wRozrlWojtLb5bFyvUGphrj4fhuJ1su7fM9YZNTg4iB/96EfYtGkTOjo68MQTT2Dp0qX46U9/iuOPPx4nnHDCXPwsJ0sZ6nSw2VLqwESsRUY2W2qw8NmTZJHrD6lEzBmV5sGrb3g3nK3PJCQx1Fjro7Mn+gLIFcqZQfbeTPbujzsKbMUmVjnLYJZvcvZUwRWQmaWAnJgnht5bai9lmXvN1RdALUNHgfTYBzscaNk6wd5LTKwyJlXQ4swNWlsDe8mVTA3To2veN7QTzrZnEQl5YsvpAdVadxlUOvlWGadjJ4czOZ5pglmEKuA2rC2D3sTtPdkE3V3wDe9hY3pyPmstNcg16F7AnFFp6O/pmiekfbyl5gKWs5MmmlQ6e8r3KRtJujNq69atOOuss2Cz2XDaaafhzTffhN8fffDt6urCAw88gEceeSTZP8vJQgI0e7K1B0MdjoSbSu3KEpQ05PHZkzlNaJqjzihSTXhDaRu8hgMOOFufhX9kT0K70EOpoWitrK95vzfInFAk3ZfObtcdV4riOrusjz2VcAVk5iggw4ExOFuehr5oNQvPEVFprbAvuA5yhkJvmb13c3vn5IYCMuwfZSF5gdEDsWUKlQGWmougLzxO1n0c2TuF3FPovYhaq2L9e1GtTdbHnk5Cnn54ut9i79X6otx0RrF7QTDl/T2z95anoC9YBkPRmgR1lK1B3rngMt4Z9cUvfhEnnnginnrqKXbz+etf/xr7jlRR3BHFYbMnrWMsTEc6e5JXbkbDmnLojLmVcDcduWRyMWeUdDZVCAkpL3sfdHVgZP9DiIR9sWU6+yJY6i6FSmuDXKHzTOG3ZO/Smav8Cgvq15RBZ+D2nky4AjL9Cki65il5qav9BTZjHXR3Qmuth1It/ypxdOyUrJiSFkvPf0GlFfWrS6Hl9s6RYQ5IUqiM7P1DQgoEXf4yWGovgUrGefvI3nubRtBG9i5xBhRUkb2XQavn2WDmklyffJKO6ylvlBAW5rzoTSQiwNu/Ea72lxARAgi62pnykSaZOEdH0u8SFJr3+OOPQ6PRIBxOnK0oKipCf39/sn+Sk0X43AE2ezLa644tU+tUqF9VhsJqK589mUMofhm5HqY3odKWWjK7OtdQyXaaMQmHfVCoTbDWXsIGq3KeMaQyzlTOmco6i2jI3leXscGqnI89XehsC6CsN7FBqtzLhWeiAjLkG2IFCYKO5oTlYd8glOYqyBmv04+mzT2J9q5XM3svrOID9XSR6omXXMwBqTaUQqXPQ8jTy4pGUCiuVA0pV3un/t0x4Emw94Y1Zcz5zJl7+OTT5HH9XDqjQt4BOFqeQNDZFm8DpYappLgzKoOcUSaTCQ5HPOxKSnt7OwoK5JsPhXP4wRCVbqcS7qRKESmstqF+VSnrwDgp7LRyfAYlHc4ocg5Y6zbAO7CFyfaVGiPkCs1QdR8aQjvZezgaU08U1dhQR/au4/Y+V6iNxeyVy6RDARmJhOHp/QCuzlcpe3Fsub5wNcshQY5oWdv7wSG07060dwq/pTAdCtfhpD4kfHj3L1lIvs6+EPb518iuCdKpgJyUC06pgrX+Cnj6PoKl+gJZqyDJ3rsODKFjT6K9l9TbUbuS23v6qufmZsQDJceXjus1c5BqOCJQ//4uXJ2vA5F4fmNKTm6uOh9KNa8Geywk/YngvPPOw3e+8x2WN8pujybuohu21+tlCcwvvPDCZP8kJ8PxOPxo3NgF55A3tkxrUKNhbTnyyy1p3bdcgs+gTFEOeo7GiyFPHxxtz05KSK611bOXnHGP+thsqWs4bu8UeksJTPPKuL1z5KeADHp64Wh+HCF3V2yZUmtn9q+zz4fs7X1jF1wjkvBjk4YlKKfExZz0QLP1YoEMaWi4nEiXAjLo7oGz5SkWYk+VMUWoSp6t/grIGdeIl/Xvbom9600aVoDEXsLtPb0FS/gk81w4pikE19H8BKt0LaLS5cNav4GF33My0Bn1/e9/HyeffDLmz5+PM844gzmivvnNb2Lv3r3sPTmqOLmBQLMn+wfRsWeAzaSIlDbkoWZlSUpVKRzRGaWMxpgrcvPcT3xITTYRIQR399twd79JIwPWgeUtviUnyrpSrH7nvkH2kto7lW6vXlHM7Z0jSwUkVc4aa/oXGf/4EgUMJSfAXHVOwqy1HO29Y+8guvYNYLygEKNsQT5qlhUnJJjmpDmXjEwVE6lWQEaEINxdb8Ld8zazd+rf85fdDkUOjKeYve8ZQOf+QZani6EAyucXoHp5ccI9l5MuO89RZ9Qcjuup8vXYISq6Fu/fjWUfg7nizIRzz8kwZ1RFRQW2b9/Oqua98soraGhowNDQEK677jp86UtfQn6+fMsYc+KQKuLQxi54xuI3RyrjPG9dOSvjzkk95MkvXv9t2eWOmA0qtWrOZlAoQTmbPfH2xZYJQSebnZZ7LLlzyMNmS6X2brBE7d1axO09lZBDNOTtZw+gFCqiNpYg10iVApLQmGuYCoUeBFT6ouhsqcwrGjkGo/budUjs3aqL2nuhfMMRswnmIFFqWMioXB9SU6mADDjbWP8e9g3ElkUiIQgBp+zLt1NOqMZNXfA6405NI9n7+nJYCri9pxOefmNux/Vi4REh5GZ5XykUN1dzcc4lc5K4g8Lz7rnnHvbi5BY0IKA4coonl86eVCwsRNXSIj57kkZy2Qk19eA1OeWg6aHf1fkaPL3vRUv7MJQwlp8Cc8UZ7EFVzvZOeaEoP5TU3isXRe19rquacKZok8AYyxVD6AtWwjbvEzl3muZaAZnwWzobLNUXIuwfgYnZu3zzoYWDYZb3kfI/ilC3UrmkCJWLC7m9ZxhKpRaCEGR5o+RIKhSQdO5cHa/A2/dhvH9XqGAqP4295GzvoWAY7Tv70dMosXelgtk6t/fMIBcUkKkc109UWFKuRwrHpQk+U9mpsrb3dJKSs/ree+9h3759OOWUU7Bw4cJU/CQnDVAFHZotpQpaIia7ns2WmvPlm8yRk8WKiWMkMNbMKmuE/fHBmtpYFp09keSSkCOjfS40kb27g4n2vr4c5jxu75mR0FSeD6Hpmin1jzXC3fk67AtvSEhQbCheC7kz0hu1d78nbu/mPLL3Cmb3nAxVTYTcsi1YMtcKSP/oIVYZUwiMxpapTRXR/t1YCjkz0uNklTET7D3fgPnry2G0cXvPFHJBAZmqcb1/9ABcHS/DvvBmqLTx/Kb6/GXHvI+cFDujrr32Wuh0OvzpT39in3/zm9/gs5/9LHtPy5999lmW3JwjH0KBMFp39qGvaSRh9oSUERWLCqFUckUOJzNnUo8FUkO5u16PL1CoYa48C8bSk1llHVnb+45e9DWPJth79bIipoCk95z0wQsVJF8BKYS8cLa/AN/AFvbZ1f4iC8fLBcjeW7b3or8lbu9KFdl7McoXFHB7z4J7gVwVE3OpgHR1vQ5352vxBUoNzJVnw1h6kqxzQAb9IWbvA61jifa+vJjlh+L9e+bBkmhHwiwVRy5yrON6IeiGs+15+Ia2s8/O1mdgX3BtUveRk2Jn1Lvvvosf/ehHsc/33XcfbrvtNvzf//0fPvOZz7DQPe6Mkg/D3TR70o2AN17q0lJgYLOlFFPOySzIgRL2j7LBVK48TM3V4FVjqZW8r4G1bgPUhiLImaFOB5q29CDoi9u7tcjI1I8GC7f3jEBB3Tpd54JsFRGpVED6hvfA2fp0rDIZEfINsdxccpfsT2nvxUZWKY/bexY5piNhWV6vc5krRmdbwFSQFJpHD/uWCZVx5QaFJ5G9N5O9++MOfMrxSv075XzlZCZ5C29ELnO043q65v3Du+BofRaRkDu+POxjDnyeoDx1JL1nGhgYQFlZGXu/Z88edHR04L/+679gNptx00034aqrrkr2T3LSAA1Om7f1YrBdMnuiVqJ2RTFK5+Xz/EQZClWGCHv7oVBqc9MZlcTBq87WwGZJVboCGErWy3q2NED2vrUHQx2OhAd+qopJ1TF5PrLMgdqCBlHigCoXSYYCMhxwshlS/8iehId7c/X5MBStlbe9e4No3trLHk6lA/7alSUoqef2nq2VtmTnjJrDXDGUpNhUcSYrPqIvWiPrPs5P9r6lB8NdzoRzW3dcKYrr7LI+dk5ujuspt6az5Wn4R/fHlilUelhqLoS+cDW/5lNM0numgoICtLW1sfxQL774InNMLV26lH0XDochCHObTJQzt1CHPdjuQPO2HoQksyf2UjMa1pZBb+KzJ5mMUqkDtVpECCASEWT9QJW0wWskAt/gdgTGDsA275MJnZSl5iLI3d4H2sbQsq2XheuI5JWRvZdDZ5RvcvZshpwmUWeUD7nIsSgg6Zr3DW5jsv1I2BtbrrUvhLX2MpawXK7Qsfe3jjJ7lw7q88otaFhTxu09y1Ao42pVlk9GI6/KpslQQDJ7H9gC39BO2BfdFM3BM4658kzIGTp2CrensHvp+cuvsKCe7N3A+3eOvMb19NzjHdjMQu2lObZ0eUthqb0kIVcUJ4udURdccAG++tWvYseOHXjooYdwww03xL7bvXs36urqkv2TnBRBiQwpJG+kJx6uoNaq2OxJUa2Ne5KzsPKGQp1biShnO3ilkEb0Pw2nr519pk7MWLwOuYDPHWAJTEd7E+29fnUpCqu5vWcycs8VM5cKyLHGh+Ef3h37rFAbYa29BLr85bLu46jwCPXvo33xcAWNToW61WUorLLK+tjlirH0BOjzl7D7gVJjhtw4VgVkyDcMZ8sTCDia2WdPz/swlZ+CXMBL9r6pmxUekto7OaEKKrm9c+Q5rh9rfJSF5onQfZGcUDxJucycUZQvihRQpIq68MILWY4okSeeeALnn39+sn+Sk4LZk96mEbTt6Evo8AuqrKhfXQatXl7S75xJbszyyeSYM2qGigk2e9K3Ea6Ol6AQ4g/0IXcXgHXyt/fGYbTu7IcgOUfkgKpfVQoNt/eMhysgjz58h/LDiM4ofcFKpn5UykxRIiUiRFjp9radfRDC46XrARTV2FBH9q7j/Xu2opXkNZQjR58rRoCn9wO4Ol9hVchi2/APQe6QvXcfGkL7rv4Eey+utaP2uBJu71mIq/NVltuQlD75S/4DKl0econZ3Af0+Utjzih90WpYqi9MqIzLSQ9JH2XYbDb88Y9/nDa5OSe78Dr9aNzUDceAJ7aMHkYbxmdPONlcaSv3VBMzmUEJeQfgaHkCQWdbbJlSY4Gl7jLo8xZDzngcUXt3DsbtXWsgey9n0n1OdsAVkEcfvmMoXsdsX1+wArq8RZAznjFf1N6HJOGIRg3r3/PLub1zskkBOTOnc8jTh7HmxxFyd8aWKbV2WOsug86+AHLGPRq1d9dw3N4p1J5C7in0npOdCAEnywXL3of9kG8t56lRH6a/n5gLTpe/DIaSE6DLWwydbV5K95MzPXzKizPt7EnXgSF07EmcPSmpt6N2ZSkL1+Fkf0LTXONwsv6IEIan511W0hmRePWoiHkp8uZfDrXWCLkikL3vH0THngFm+yIlDXmoXVHC7T2rFZDkdOYKyIlQdTF3zzusrLO19uL4uVMoYZv3CcgZISxE7X3vYIK9l87LQw3Zu4b375wsU0QcwenM7L37Lfai6oJRFDCUHA9z1blQSu6ZcrT3zn2D7CW197L5+aheXsztXVaTzLk3rqfiWRPH9VF7fxNh33BCf06OKQq75+SAM+rtt9/Ggw8+iIMHD8Lnm5xAdefOnXPxs5wk4R7x4dCmLva/iN6kQcO6cthL+OyJrBKa5hhKlRIKpYINyKQzqaQSG977IEKentgylS4f5trLMOozQynj3Fo0S0qzpTRrKkJlnKmcM5V15mQf1vorAFzJnM+5VqRgJgrIoKuTqR9Dnl72mfLqUHheLkAqqMZNXfCMxe//esu4vRdxe5cTQsiDsG+IqSXU+gLZhe/MNGcUPZgO7/l1zN7Z3+oL2X1Sa6mBnHEOedC4sZupnkUMzN4rYC2S7wRbLpHrzihyMNG9gO4BNK4PONvhaH4cYd9ATA1FfTwnh5xRL730Ei666CKcffbZ2Lx5M0to7vV68d5776GyshKnnXYaUsm1114Lg8HAnGM//vGP8eyzz2Lv3r2sqt/KlSvx7W9/m1X+40RnT0gZQTOmEXHyRAGUzy9gsyfSjp+TnUhn/2iAmquzqVQJUjp4pYd2tals3BmlgLHsZJgrzkJEoQZ8Ufmz3KDjZ/Z+YBCQ2HvFwgJULeX2ns3keg4ElUTZI7XziBCEq/M1poCMX/RKBN09sndG0Xlo392P7oNDCfZeuagQVUuLmKOeIy/8o4fgaHqUvTdXXwhT2cnIxVwxCqUaWmtD1BmlUMJUdipMFadDodTI2953jdv7OBStVMHtXXbkujNKvBfQM41Fvw0je/fH+3eFEmH/SLp3j5NqZ9S3vvUt3Hnnnfj+978PjUaDe++9F6tXr0ZbWxvOO+88nHlm6kqlhkIhlkj9D3/4A3OI3Xfffbj55ptZtT+VSsUcVGeccQZefvnllO5XJkI5oWi21OuM5xEyWnWYt74clgI+eyLf8J3cg5yqE51RBCUyFPwOmKvOgcZcyZZFhKMrF53pUAUdUkNRBS0Ro43svQKW/Nx2ZHCyH6VSMUkBSRWzHM1PJiQpVhvLYK3fAI2pAnKGKuRRpTypvZvseta/m/O4vefC5FO0YEnuKCAn5ooxV57NquOSE0pjKoecoQq4jZu74XfHk7Ob8vRM/cjtXX7kevoNwmjoga3gfWjU8eqQalMFUz9qjKVp3TdOGpxR+/btw3e/+10olUrWEbjd0QujpqYGd999N3tdf/31SAWkxvJ4PDjnnHOYOqq5uRl5eXGZMi1ftmwZHnjggZx1RtFAvXV3H6umI0KD+MrFhezFZ0vlhcpQBF3eUtZ5qbR25CJqdQjW/E3wBwsALEpQk+Qt/hTkTCgYZlUxqTqm1N6rlhShguxdycu3c+SlgBTCPjhanoS3f1P8S4Ua5oozYSz7GBRK+eZHCgXCaN3Rh77mRHuvXlqE8kXc3uWO3AuWTKWAFEJeONtfgNpQDFPZx2Lf05jHvuBayBmy95btvehvGY0tU6oUqFpWjIoFBcz2OfJOv5FrEQ8UiuxsewGF1q2J/Xvl2TCWnQSFQr79u5xIujNKr9ezEDhyRJWVlaGpqSkWBmexWNDR0XFM25fOdEwFzYaIUEje6aefDrM5mudI6ogiSB21YsUKNDY2IhfxDAfQsakZAU88WbM534D568thtMk3R04uQ9UjcrmChH/0AIptT0KldCMstCLoOxUavQ25wHC3k6kjAt64vVsKDEwNRSpIjnwIurvhH9nHHkD1BcugMVch12CqifAYSvNegbc/Xj1KY65haii1oQhyZqjLgeYtPYn2Xmhk6ghu77mB3BUTExWQvuG9cLY+DSHopBK4rGIW5crKBYY6HWja0oOgL27vlBOK7N1g4f27nJG7AnI6woExDO/+FYSgK7bM4y1GxdproTXLu3+XG0l3RlEepgMHDjDV0VlnncVUUoWFhSxk75vf/CaWL19+TNv/4IMP2Lavvvpq3HbbbWzZ73//e/zjH//A66+/nrDuM888g89//vOHDeP78MMPjypnVCQYSJABR8JhcklT7wiFSp2wHkOtmbyuQgmF+ijXDQXJ80YjbiiUynhIUTh0xHWD/hBatnRjoI1mSxV0J2OzJzXLS1BaZ4VCEWHbOvJ2Q/TlNPuggEKtmbyuUgWFSjX7dWn/6ThojzXSAVaISoElZd0pz/us1p1F2x/LdTJV2yflOjlceyah7Y/2OpmuPWexbtg3Bmfr8/CN7IJKnB2MhOEfboW6aPG01wlLsjC+3aS1Z4rvEcEg0LKjH4PtY9HzFRFY9ZGaleUom5cfHcxn0nXC7xHHfJ0EHZ1wtb8KKBVQ6fOZM2ou7xG0DfadVpsx9whyRvmdegR9RqgMHijVOpirz4O+aB0U4TA7n6ntS1Jzj/A7PWjd3ovBLk/s/qVURVCztBCl8wqg1GiSMo44muskl+8R6ehLSBnFqqdFIhACcYesnMYRKlUYEcENu+E9jB1qGz+OCBTUJO6emDMqGeOITLxHBLxBNG/txVD7eHSDQsUUY7UrS1Bca4UiQvfnUFqeNdLal2ThPeJorxMISkTC9HuKmAIyF541FAoDC8ULjB6AENFicGA5HK56lCus8b9P8bNGKu4RkBSlyaRnjUm2LG4jHc4oyhfV0tLC3n/ve9/DJZdcgksvvZR9pgTmTzzxxDFt/4QTTmCKJtoWvScoLxSFBYqfCVJkkVPs4ovjJZsn8oMf/ABdXV344he/OO06fr+fvUQcDgf7f/Dvv4Dp1i9DaYjmU/Ls+BCeLe9Av2AFzKecH1t/6G8/Yxdy3if+EypLVIHh3bMF7o9eh65+MSxnxEtMDv3z14j4vbBfcQvUeYVsme/ATrjeewna6nmwnkMVkqIM/+t3EFwO2C69AZqisui6jXvgeus5aMprYLvg6ti6I088hPDoEGwXfhKasmp07hvA2N59KOx6B0FDIbDuMtSvKWMVtEaf+gtCg72wnnMltNUN7O8DXa1wvPgo1PnFsG+4ObbdsRceQbC3A5YzLoWuPhruFOzrwtizf4fKakfeVZ+On7dXHkegsxnmUy6AfkHUIRka6sPok3+G0mhG/jWfja/7xjMItB6A6cSzYViymi0Ljw1j5LHfQ6HVoeCG/4qt63znRfgP7YZp3ekwrFgfXdftxMjDv2YGU3jLl2Pruj54Fb5922FcdRKMq6PybcHvw/DffsbeF9z837Ebgnvjm/Du3gTDsnUwHX9GzBCHHvo/9j7/+i9AqYuqxzzb3oNn2/vQLz4O5pPOjf3e4J9/wm5geZ/8DFQmS7Ttd22Ce9Ob0M1fBsupF8bb/h+/RCTgR97Hb4PKlh9dd982uD94FdrahbCedVm87R/5LQSPC/bLb4K6oCTa9od2w/XOC9BW1sN63sfjbf/vPyDsGIXt4uugKYnmRfE374fzjaehKa2C7aJrYuuyth/uh/X8T0BbURtt+/YmOF75N9SFpbBfdmN83ef+iVB/Fyxnb4CuZn607XvaMfb8w1DZC5B35a3x6+SlfyHY3QbzaRdBP29pdN2BHow9/VcozVbkX317vO1fexKB9kaYTz4P+kUro9fJyCBGH/8jFDoDCq6/I972bz0Hf/M+mI4/E4Zla6Nt7xzDyKO/ZTfKgpu+xG7s/uFdGH35IQjdY1DWWqCqtsDjLcVA30pU73gOHvULKLz1f+LXyUdvwLdnCwwrT4Bh9cfYNoSAn9kyu05uvDPWobi3vAPvjg+hX7oG5hPOire9eJ1c+/m03iN8A0PoLTwTflU0JFPnaEfe8EZYF81HwbyliNA/ITLpHsGuk7ZDcL76BNTFFbBfcl287Z/5G79HZPg9wvnCywgN9UK9ughCyMfUynN1j/B3NCH03MMYLa9G3uU3Zcw9gpxRlt6NCBzqg3F9IfJOuxUqnX3SPSJm9+++DN/BnTCuOQXG405kywSvB8P/+AV7P909wrT21GjbBwMY+stP0naPoPvUYLsDo//8JRD0QVV3IcI6G+ylJlRaB+B/9yE42pM3jmBtz+8RMx5HGNadFu1LQiEM/eWB1NwjFBoIvR4IjWPwVWkgzBfkNY7o70bRgT9BY3RBWytRQrQqAacKgjUIIU845nFEJt4jdAuWw1t1Ilq397F8WQWNj0MhhBE+6RrUnVgPnVED7+7NaX3WOJp7ROiZv2O0tBJ5V8RTJvBnjcPfI0YfexghRy/Ux5fE+ns5PmvQtUmOEek9wnrJx+FWatE/uBI48CoK3VvhPXQlNCtWpvRZI5X3COP6M6J9iSBgOEOeNaa6Rwy++G+kzRl14YXxi76iogJbtmxhYXCUQHzRokXQSrzdR4JOdpg8cdLyjeOd/JEgVRTlg6qtjV7oE3nllVdYsvW77roLa9asmXY7lPT8nnvumbScHFQDgwPsoiXCY2MQ/H4EXU54+uPVt4I+P/PKDg4OQuGNOrWEsVGE2boueCXrhvw+RPx+DA0NQjGejFEYHV/X7YZPuq43uu7w0BAUEVXCugG3B/6Edb3R7Q4PQ6nSQ1cYgZKaQQEY8jQwLtLD4RmFwwOEPJ7odkeGodRHBz7C8HB0u14PAtLtetxs3dDoCJTjyyNDQwj5/VB4fQhK1g273ez8hEZH4+uOjq+rVKM/YV1XdN2xMTjFdZ1j0XUFJK7rdE5e1+tm65JXeKp1gw4HXOK6AX90XQD9A/2x/CFhpyO6rtMBt7iuEI6tOzAwwBxjbF2HuO6Etg/4mdebtb07OispjI1F29PpTGx7nx+RoB+Dg0NQ+EOJ67pdiW3vE6+TISjCiplfJ4rorIAwOhJtT497wnUy3vZ0nWiiNzVhZLztPRPbPrpuiNY19CdcJwqvN6HtQ+7xdaVtPzze9irfhLaf4jpxDEfXhSJxXZd4nYzG297tjLZRKIz+7mZg+E0ovC2AEJ1piCg0GAt+DAN9VVCE/PAHAlCGJ2zXEb9OaLtjZNvBAFsWvU4GYjMssbZ3TGh78TpJ0z2CcuV4uh2IuPwIW8OAgXJiKWCv1kMbUMIf8Ccc88R7hLQ9p2t7fo/I4HtEMB6q4XKOwKXqn7N7RHh4BMFgkOVnDKbzHuFzQ+HrRn/7NkBfgZAQYgOcSESDgG4FhsZolq4/8R6RcD8Zt/uxsXj/4PfG+4dp7hGxtg8FJX1Jau8RzvYeDBxywzMcRL4QAc1NUldWsMgMc7EW7hZX0scR0vbk94gjjyNifUk4FOtL5vweMd7vse0HA4n3/GwfR4QciLQ8B616hKmBmA0q9UDeqQh3tkAYbsNoMsYRGXiPCHt9GDwwiJFeqv4bhcQLWosKujoNxlwjgCv9zxqzvUeEh4ejfYl3Yl/CnzUOe4+gfGmaPETyToJXWcnaWnbPGv0dUDreACwrILj18XvEqB+wnA5/TzxUb2x0LLZvKXnWSPE9wjXelzAfSZqfNQ53j5AKeY6EIiJNspRhvPnmm6zanchpp53GltntdqbAomToBP3/ox/9CC5X/GKkEMH169czZ9JEtm7dynJJbdiwAX/+858Puw9TKaOqqqow3N8Ha35BxsniZiqdHet3wukaQVllKVQzlsPmprw+08IwjkU6Gw44MbLnN4iE/NDa5sO24GpZhukFnC1wtv4rlieD1D9a2yJYai9G+34feg+NsPOy9LRo9bjprpOIQsEeGCjUWEnnN91tf4R1oVKhv3kUbTv7EQ6Mr6tQIb/KirpVpdBoKY8OD8GR+z0iMNqC0f2/Z7J9Y+lJrKz7XMnrw6EQBvp6UVRUPIu+JHn3iEhEYMnJ3W0vsXwZamMR8pZ9Doc+6sNQOyXyjWDVBfOht+qzLgTnSOvSfvS1jKF97wgEsTqoEEJBpQW1qyugNWgyKgQnl8cR6ehLaL8GNt7FzoPaWIH8FZ/NmhCcw90jgu52jB38a7R/pzBEcrp761B90ieh1pmzOgTnSO3Zc3AQHbt6IZBzYNzpWVhtRc3SPGh06ox71khbX5KF94hMG0dkwj2CJoK9fR/B3fM6FAhBqbHAvuTzUCrUCe3ZtrMP3fsGWH+/+PRa2Esssg3TiyiUrC8pKiqCgrYxF22fhHuEY2QY+cUlzHFmtcZDJ1OijCIoPO7f//43Ojs74fP5Er6jg/rDH/4wo+2QYmnTpngFHEqAPhPIYfTOO+/g29/+9qTvSKV1wQUX4KSTTmK5po6ETqdjr4modPpElRZrAM0UG5giEXgy1h2fTZu0ruQCOdy6tmIL/PCyGz6FOMbX1c5iuylcl5hKFaecq3WnOe+zWTfVbT+TddVaRELRUFPAn91tf5h1daoauBRqROgYNWZYai+BPn8Z+1qt6YuuR4M7hYbZcuK+xbcrFmMgW5fmWklb2x9mXa/Tj8ZN7XAMeMaXq6HRq9GwpgwFlZKOYIb3iIxoe36POKrrRK03Q6ESBwWBqJ0npS+Zoo3Uaig12rT0JSHvIBwtTyDobGVKXzpmOl4hMBKttDX+sEZaoYR9y4S+5Bjt3uMKomlzb9ze6dQY1KhfU4WCCmtKxhEZYfdZco9IV1+i1OiiThtFcIJ9HsM4Is3tqTRXQqkxQRACCCvN6OtfA4+3EjVKY/QYkzSOyKR7hMfhR+PGLjiHSB2nBskfyd4b1pYjv3yaZ6MMeNbIlr4k49o+2581ktBGIU8/HC2PI+jqoO49Ck26hh1QmcoT1lVL+ntEJP39HD9rTD6O5KwbESKJ1S+n6EvoGJXq1D9rzLTtJz1bpdIZ9de//hWf+tSnWFW9mpqaSWF5R6qGJ4WcT2vXRuMzD0fCTQvASy+9BJvNhhNPjMZrivT09ODcc89FdXU1HnvsMZZUncPJ3eo68iv1LKJUG2GpvRT+sQOwVF/APouo1JJy0OPy02yGOq2ug0Po2N0PIRwXuhbX2VF3XCnUWl7aNrdLusuvuk4kEoan5z24Ol+jabnYckPRWpirz4dSbYBK3TOp7LscEIQIug8Mon33QDQ59Tgl9XksaTG3d87Esu90D4gIcTuRwzjGWnc5/MO70d2zDJ7xkBOyc43MCseRvXftG0TH3kR7L23IQw3ZOz2Eczgygu5V7u634e5+kxUaEjEUHw9z1blTOmDkMq4XwgI69w9irNeNZWfUJjqkZEzSnVH33nsvPv7xj+OPf/wjjMb4A+Bckp+fD7fbjccffxxnn302yxdF6iepk4pyVtEyipX86U9/it27d8e+I+XTqlWrUrKvHE46UVBuBZK3RkKyKQEb9PTC1fYCrA0fh0obnyGkkvb0mohKE78vhEPxji4bcY/4cGhTF/tfRGfSYN7acthLzWndN076kLMzKujuhqP5cYQ8cWeTSpcPS93l0NkaprHz7B2cSnGNeNG4sRvu0bi9U+ERUkfYS0xp3TdOZlKw4gtQKDUsN2c2EnR3wdn6LOvfxcp4hM42j736BrqYyjvbH0KnwjlM9t4Fz5g/wd7nrSuHrZjbOyeOEHRBYGGrYaiNxVl7aoKuzmj/7u2L9+X6QljrNkBrnToHtFzG9c4hDxo3dcfsvfvQECoWRpOHy52k907d3d349a9/nTJHFEEV8x544AFceeWVeO+99/DCCy/gl7/8ZcI6fX192LFjB3svVvcTIQVXa2tryvaXw0knrNxzKBTtuLJ99qTrDbh73mbx3M7WZ2BfcO0R/46qbIlk6+CVZk9oppRmTKVZ/8oW5KNmeUnCMXJyXQGZ3XYuxdu/GY6Wp8gCxpeM58SqPDvhmOU0Uxqz9z0DbMYUor0rgPIFBaheVsztnTMtpBLMRiJCEK7O1+HpeZfZu7PlSdgX3TIpuiKhP5eJ05mOo2NPP7oODCXYOz2YVi0t4vbOmcTQrl9CCDpYTqWi1V/LyjPkHdjKHFHxi14JY/kpMFecwRzqch3Xh0MC2nf1M+eT1N7lcj9LizPq1FNPZaojSiA+V1CFDClUMa+pqYm9f//991myrPPOO2/SOhmcq53DSRlKlQ7hkDurH1IDznbWaYV9lLAwSsjbDyHkPeLgO9sVE45BD5st9TrjYZYGqw7z15XDUpi6SQBOliggs9jOJ6Kx1ETLRlGuTEMxbPVXQGOuku1MKeEYcLPZUqm9G206zFtXAUtBdjoaOJzDEXC0sFxwYd9QbJkQ8iAS8kChMcmqP5/IWH/U3n2uuL2b7HqmhjLnc3vnHEYNHczu9Btaaz0USu14IZIyWKl/n5Abajqy9T4w2udCE9m7O5ho7+vLYc7LHXtPijOKyjOKfO9738P111/Pckadc845rPLdVGF1cwUlJg+IVaQ4HM4kRAVBNj6kkprL1fEKvH0fxmdPFEqYyk+Dqfz0GYUiZOsMSjgYRtuufvQcit9v6bm8YnERqpYUQjmesJrDIbSWGlZpThraku2oDUUwV57DkpSTzR/O3rPVzkVCZO87+9HbKLF3pYLZesUibu8c+SGEfHB1vARv/8b4QoUKpoozYCo7FQoxQbEMFZChQBitO/vQ1zSSaO9Li6L2niO5YzjHFppPfSMJL2aTnzldTNxPlc4OS82FEIJuGMs+NqW9y6W/Z/a+oxd9zXFxDdl79bIilC/MPXtPijOKStVKLyi6wD7zmc9Mawz/n737gG+q/Bo4/ku6NxQKlL1lyFYUFBVRVFyouPd63XvvLQ4Ux9+990BxK7hABdkgIkPZG8rq3k3ez3nSpEmbls7M8/UTae9Nm6c398m999zznKdMpgdUSvm3noy9zAx1C5ZaEkWZK8le+yW24ooP78iEdo67J/Ftav17PE5egyRjYs/WXFbP30JRfsXdE7lLKndL5S6KUpU1731RUG+Uosz/TJHyZvuc45Gin9B2REjfKRV7tuawav5Wiiv19x5D2xKfov1d1V7RnuUmk1iyDeSGTUR0zVNs+0vRnhVkr/saW3GWa1lUYkeSu55EZFz1NXBCIQNy95Ycc3wvLqgoMi9Zj92HtiM+OcQqsqsmG/HgYDcBKfe6kYGocM9y8jZPp3mvCz0Kkse12vukZcF+Xr9rczZrFmz16O/JafGm9mO49vdGuQqVYuXBEIVVSjlm13GSlN5gCEblbPihvHZEOWuUqRMT32aYY0hSHXicvAb4HZSSolLW/bWdjHUVAThrhIWO/VrRtkeLsJlpQ4UPW0k+ORu+o3DnX+b73M3TSOowus6/J9julDr7+9pF29ixPsujv3fq35r07qna31W9buIUZMwxX8elDQnIYFTOhinkb/3D9b0M1ZFZs+JaH4BFpnIPsX7uVFJYyppF29i5wa2/R1rp3L8VbaS/63WVqm+dyAANRkmh9ex131K0e4n5PnfjFDMzZkMFw3l9cWEpaxduZefGbNcy098HtDazY4Zzf2+Uq9ALLrigMX6NUsrXM22ZGfUCv85QVEL7iq+TujjultZz+FEwZExIdumuTY67JyVFFXd5ZAadbvu3JS7Rs1izUsFO9nmZql0mIrCV5rmWl+ZtMcMN93ZRGsx3SuVvlxNUOVH16O+tE8zMmDKDllKhOrNmdEp3VzBKvpaL04iY5iFzPPfW3yXgLIFnGa7jJDPgdtsvndgE7e+qIf28OCD3+cJdi8lZ/y320gLX8rLiLOy2sjoNyQu2z4Hq+nvz9ES6DUknRvt74xUwX7ZsGS+//DJr166lXbt2jBs3jiOOOKKxfr1SqpHEtxpKTLN9zJ0US2TgB6JETOq+xLYcZAoYx6Xt16A7CIE++05xQQmrF2xl9+YcjwNt5wFtaN21WVjfPVGhqaw4m5x1X5shRU6WiFhTPyK25eB67fPBcKdUyNBbCTrLUB33tncZ2IZWXbS/q8bLmAjUGXRjUroT3+YgIuPbmON8Xfp7sGVGSX+XIXky9N4pMjrC9Pe0zil6fFeNMOKhMKC2YllRppkFtzjrP9cyufZI6nQssS0GNMo+H6jn9UV5xWbIfea2Sv19UBvSOml/b9Rg1IwZM8zseaWlpaSlpTFlyhRee+01XnjhBS6//PLGeAmlVCOJTukasNvS3D3ZuZCSnA0m+8lJDlYp3cY1ymsE6smr/O0ZazNZ+9c2j3altk2iq9w9ia95alul3OVu+sUEd+QuqdSPkuKggUb2+YId88ndMMXjBDqmeR+SOh/foCFFgXyn1Pm3b1+zh3WLt3v09xbtk+g6OJ3oOO3vqjFryfg/M0oyHAsy5lGctZqUHmd6XIRK4Lk+IqKCIwNS+vu21XtYL/3d7fOoRYdkR3+PDfxyCSpwBWJmlKO/zyV3w1RTx8opJrUfyZ2PwxqV2GivJRP4SNkKu80eEOf1pr+v2s26v2WW74r2tOyYTJdB2t8ra5RPv/vuu4/evXvzzTff0KFDB7Kzs7nwwgu5++67NRillKqVssLdpkB5cfZq8310s57EpvZt9K0nJ8AyTlsOEIFykSrTOK+av4Ws7RXDk6JiIsxJqpysajaUqitJfy/N32q+tpUV0rAk+KY5Wcv8912Pu6VycipBqNjUfUP2TqkoyCli9fytZhp3p6jYSNPfW3YIvJo+KngFyjC90sKdZK/5gpKcdeZ7uekkNaxC9eZS5f6+at4Wsnfke/R3GaLTor32d9XIGZCm/EYAHN//e4/iTPfjexJJXU4ktnnvJnlN+SyQYXD+Pt7nZxexWvr7zor+Hh0XaW4qt2in/b3JglFLliwxQ/QkECWSk5N56qmn6Nq1Kxs3bnQtV0opr3dPts8mZ+OPUt3QtbwkZ32TBKOcBy0TjCrx751UuYuzZeUuNizJwFZmdy2X9F1J442K0bulKvgzIryRAGtUUkdXMEqG50h2hLWRhg4H4kWq6e//7WLDP579vVXnZnQe2Fr7u2ryCUt8zW4vM7NiSqYm9orZo0rztzfK7w/kDEjp75v/3cmGf3aYr51k+K0My5PhOkqF4vFeju9SDsQZjJLyGokdj/GYOa/JglF+Oq+3yfF9xU42LPXs7627Nadz/9ba32vQKFc6O3fupH37igLDwhmAknUajFIqcNhKCykr2m1OTKVIaERMit/aUpqfQfbayZTkbnQts0ankNzlRHMgaypyAltS6N+T17zMQnO3NHd3RTFHGYonBUybpyf5rV0qNARi2n5lCemHUJq7ibjWBxLTrEdIZ0BW29/3b0vzNo03XEGpmics8Z2SvK1kr5lMaf4W1zI550jqMtbUiWoMgZoBmbunwPT3vD1uw48Toui+f1uatdb+rhqX1F6KTulh+ntj3dCpTzaUexZ/XKuh5tw+ruVgolO6NfnrOwPT/vgckOO66e+ZFf1dJh6R/i4TD6maNdptdx1GolRwKMpcQfbqSeZrKSAY32a4z9tgt5WSt/V38jZPlytl13KZyjmxw1Eed3magvMEVg5alQ+gTc1WZmPT8p3m4X73RKZu79i/FZFuNTCUapyMCD/XipH+vmW6tIrE9qNcy2UGnWb7nNtkrxsIGZCu/r5sB/aK7k56j1Q69WvlUfNGqSaf8t0H7LYSc2yXYzx254WhxZxrJLY/wqNNoZYBKf1949IdbFqxE5z93QJte7Sgo/R3t/Yq1VisUQnm4Q/S33M3/Wr+lVpQTjIDbkq3U33WDmffkqxjObeWGlJNTa4hNi7bwebK/b1nCzruq/3d58GokSNHYrVW/ZAdMWKEx3K56MvKymqsl1VKNeBOqT9m17GV5rNn2euUFlSk6UfEtiS5y0lEJ3f2SRtcqf12x4ErItI3waicXfnm7kl+VsV2j0ty3D1JTtO7J6qJLkL9WEOiOGcD2Wu/oKwgQ06ZiWnem6iEtj55bX9nQErNCOnvBdmV+vvQdiS3DI6ZTFVw8/XxXl5j9z8vUVa4w7UsIq6V4/ie1LHRXy+QMiClJtSqeZspyKnIRI1PjqH70LYktdD+rkJPcfY6x/G9cKf5XkprRCd38UtbKg/ZbephsFk78szxvdC9v6dIf29HUmpck752qGm0AuZKqeBg9XMNCUtEHNaY5mCCUVbi244gsd1ILFbfzR4VEek+A4+tye9WymtIXSipD+V+96R9r5Z06JtmZgJRqjFZImL9mhklny25m34if9ssR9TXNEqG7mzyXTDKTxmQkom1fkkGW1fudi2Tl27XO40OfVpqf1c+I0N2ohI7mqBUZFzrpn+9iBiiEts7glGWCBLaHmoeFmtkyGZAlpaUseHvDLaucuvvVgvte7c0Dz2+q1As95G78UcKMuZULLREUFqww3/BqErn9U0VjJL+LrNiyuyY7v29Q5802vVqof29HjQYpVSYsUT6d/iOXBAmdzmBrFVFpmCxry5Mq0/tL4MmnFY5c3uumVmjMK+iOHtCs1hztzSxud49UU3D6j67jo/7eVHWKjMzpq2o4mQtMqEtyV1OJioh3Wft8EcGZOa2XDMzZpF7f28eS4+h7Uy/V8qXIqKTSe17mU9fM6njGJMBndhhNFHxbUI6A3LP1hwzM2ZRfkV/T0yNM9nO2t+VL4NDhbv+NlnQMtKgqWasE0WZ/5K99itsxRWjnKISO5jje2R8K/ylynk9jX+De/cW6e9bKC6omIwhqYWjv8en6PG9vnSqJqXCuZZMEw/fsZUWkLthCtHN9iE2tY9reUR0Cql9LsFffDEDj8zqsW7xNravyfS4e9Jx3zTa7tMSqw/Gs6vw5Y8C5tLfczb8QOGOBW4NiTR1YuLTh2Ox+LY+ki8zIKW/r/1rGxlrK/q7NUL6eytTP8IX9SuU8iUJOOWs/57o5K7EpQ12LbdGxdN8n/N81g5/ZECWFJWa/r5jXZZnf+/XytSH0v6ufMleVkDOuq/M1zGp/ZokGGUryTP9vXDXXxULrVEkdRhtJiGRGlH+1JTn9aa/L9rGjvWe/b1T/9am3qv294bRYJRSYcZXBU0L9ywnR+6elOSYOymSumuNDIxMoKYuerprc7a5W1pSWHH3JDktnm77tTU1JJTybTCq6TOjSgsyyPr3LWwlua5lUUldSO46lsjYlviDrzIgd23KZvWCqv1d7pbGJWl/V6FFAj5Fu5eSs+5rbKV5FO1ZYWbyioj2zyywvsyAlL9d+vsa6e9FFcMCZcYs6e8yg5ZSoTZhSWnhTnYvfRV7aZ5rWXRydzPzdURsKqF6Xi/9fefGbNYs3EqpW39v1jrBnM9rf28cGoxSKsw0dcaEXIxmr/uWot1L3F6niNK8rUSndCUQNNUdlOLCUnPQ2rUx27VMiqt2HtCaNt2a66yjymck+zCh3SjT330xNC4iJhVrZILp/3JinNjxaOJa7efXu6VNnQFZXFDCmoXbzMWp+2tKf2/dVfu7Cj1lxdkmCFW0Z7nbUpuZkMRvwSgfZUAWSX9fsJXdm3MqXjvKSpeBbWjVpZke31XITlgix/fI2BaU5OaZepRSYiO25eCA2ucb+3gvQ2/lJtOeLZX6+6A2tOqs/b0xaTBKqTBjscpBSw4gdmxlhY32e+UOQuGuxeSs/xZ7aYFreXRKT8fdk5hmBAqPOyiNcNCSv13SdyWNV4brODVPT6TbkHRiEvRuqfIta1Qiie0P99nrSYHi5K4nk7d5GkmdTyAiJoVQzYCU/p6xLpN1f2337O9tpb+3JSbed5MxKLU3mf99YAoLSx9t0e/q+h/fdywww3DtbucNMc16kdTlBBP89pemzoCUv12G28uwe/fPkdR2SXSV43uc9nflX2aCABkGby9rlMyoysNd5aZScteTyN30K0mdjvVb4NkXx3tHf9/DusXbPX5Pi/bJdB3chmjt741Og1FKhRk5wEhASu6eNFZmVFlRpiloWJz1X8XrRMabg1ZsiwEBdfekyp3UBs7AU5hXbIbkSeFiJ5nFQ+6epHVKCbi/XamGKivaQ/a6b0yB4ojYioKlMotWs33ODZgN3BSZUaa/z9tC5vaK4QqRMRF0HZxOyw7J2t9VwCkr3FU+u139TvlLC3eTs/ZLirNXu5ZJFmRS5+OJSd3X7/t8U2ZAFuQ6+ntWRkV/j5L+PiTdXJz6+29XykmyoO2l+Q0+ry8t3GVKbCS0O5zo5M6u5ZFxrWjW44yA3eCeGZL1O68vyCkyE5BkZ+S7lkXFRpqbytLfVdPQYJRSYZrSa4JRtoYHo6ReRNaqTzx+V0yL/iR3OtZkZwQij5PXet5Bkbsn21btZt3fGWZaaSe5IO0yOJ3oJpyhTyl/sNttFGyfY6Z0lv6eXZJLs96XBuyb0ZgZkHab3Uzdvn6JZ3+XgLMEnqNitL+rwCTDagx7KXZ7WZ0mEijKXEnmyg9k/L1rWWzLQWbGPClUHrK1Ymx2tqzcxQbp72V21/K0zilmWJ72dxVorBExlJXm13v2XPlsyN/2J7kbfzafFWXFWSaT0mINjsy/hpzXS3/f/N8uNv7j2d9l+K30d7nBrJqOnj0pFYZS5QBjifQYZ15fkWbqZsfdQWtUEkldTmzSaWUD4SI1P7uIVfO2kLOz4u5JdFyk425pO717ogJnumcZUiMnmVLvoaEFyrPXfEFJ7oaK31+cg62oYva4QNNYGZD5WYWO/r7LbfhxXKQpYJraNvCGKyhV/aQlxVjqMJFIVEK78kzqEqzRzcyQ+5hmPQNqAzd2ZlRepqO/5+6u6O8y9Fb6uwy9VyqQ68HWZ5heSf42stdMpjRvs2uZnDfIqIfIuDSCQX0/B/L2FLJy3mbzr1NMQhTd92tLszba331Bg1FKhaGIRsxYklpQUqxYDmKJHY/BGll+FzYE76DY5O7Jip1sXLrD3Elxat2tOZ37t9a7Jyqg7Pr7GTObpTUqmbTBt9Xrd9htZeRt/d3UgpJ6FE5xrYaS2OEokBp02RmEYgakrczG5hW72LjMs7+36d7cTOkcGaV3S1UQzqxZh2CUZD8ldz6e4px1ZliuZF8EmsbKjJL+vmn5TvNw7+/pPVLp2K+V9ncVHDPqSQakrQyLde/HJ7utlLwt08nb8pt84/xNxLU+kMQORwZkf2+szwHp73Js3yz9vaK7k94zlU79WjfZRAiqKg1GKaVqrSRvM7mbfiGl22keQaf41kODaitGVpp9pzbkLqncLZW7pk4yratM5yzTOisVkBehJTn1nl2nJHcT2Wu/oDR/m2tZRGwLkrucRHRyF/O9zdb4s9Q1lsgGZEzkSH+fu5n8rIptp/1dhUQwqholuRvJ2TCFlB5netywim3RzzxCuVZMzq58Vs3dYrKeneKS5PjejuS0wBiOqFRdZtSzWGveb4tzNphsKFNPrlxEbJqZiCQ6qWPQbewIt5tDezveZ+/MN+fzBe79PTmGHvu3Jaml9ndf02CUUmqvJEVfZtHI3zrDTOOcu3EKyV3GBu2W80znrfnkVcaPS52YLf/ukgkIHSzQbp8WdOjbSu+eqCBI2y+uMjvO3uRvm0XO+u/MrJsOVuLTDzYz9AVNDYl6ZEzISeyGfzLY8p/2dxUa3LMbvNWTkc+H3E0/m3ox0t9z1n1Dsx5nEiwakgFp+vuS8v5eTj4m2/VuSYc+aVgjNDtCBYeImOZExLZ0FDJ3ZTl5l79ttpn52nV8t1hJaHsoCW0Pc8zMF4Q8y294P6+X4fpyPr915W6P/t6+Txrte7fU/u4nwbnHKaUapCjzX5P1IHdJ49seUuOwveLsdSY7oqxwp8cdVAlQBctFaX0vUrN35LNpQSYlBRXPiU+JofvQdiSl1n6og1L+zYiwOwoQ16FGnMyM514XTu6WSv2YYOKZMbH3i1SZIW/1/C0U5lZMxpDQLNZkPyZqf1dBSmo+OVXOjCrOWk322i8pK9rtMfue1JsLhiH3DcmAzNyea7IjivIqirMnNC/v7831+K6Ci9Rzq63olK4mACVD7yMT2jmO76b+a/Da23n9nm25ZmbMovyK/i7HdenvcpxX/qPBKKXCkMyAV5Ax13wd23KA12CUnIzmbpzqep5hiSCh3WEkpB8StHdPalPosFTunizezrbVe1zLLFaLuVParlcLvXuigoLV7SJUMiIi6hSM6mAC1fI74tNH1Kr+RLBmQJYWl7Fu8Xa2r/Hs7x37ptG2V0usVp2+XYXIML3yIbu20gJyN0yhYMd8tydGkth+FPFtDgqq/l7XDEjp72v/2kbG2orJF6wRFpPpLBnP0veVCmWRca1MTSgR32Z4nWbYDLaJiUqKSln313Yy1nn2d6kD17aH9vdAELxXk0qpRqohUZEF4J45lb32K2zFWR4Xp8ldTiYyvlXQb3k52ZTUXClaWPnkdfeWHJMdUVxQ6lqW2CLOjCWPT9G7JyqYL0KTqg9O75hvasW4n5QmdRhNMKvNReruzTmsXuDZ36VmhNwtjU8OnuKtStX2eF+4exk56742kxs4RSV1NkPvg2XmrPpmQO7alM3qBVspKazo71ITSvp7XJL2dxV6CncvJX/7bJrvc57HaIaE9BGEEjmvlyCTlNZwHu93bsxmzULP/i41XrtJf09s+GziqnFoMEopwn2qZ8+0fQlCeWRDWaPMRanMrmGRtN4QILVzpNih3CF1nrzK3ZO1i7axY31FAE4ObM07x9FjUEciIoL/zpEKL3srXGwryTN1Iwp3/e2qE5WQfjChoqYMSDk5XbNoGzs3uPX3SCud+7eiTffUOtXXUiqQRSV2NDNfyudB4c6/KM5e7TGET2bDjWu1f9Ae32uTAVks/X3hVnZtzK74uUgrnQa0pk235trfVcgpK84mZ923FO1Zar7P2zzdlQ0VquS83lZWas7nV8zcwK5NOR6fE50HtKZ1V+3vgUaDUUqF8xSwXgqaRsa3dn0dndzN3C2NiE0l1MiJqDMYtWNDljlRLS2qOJFt1jqBLkPakJ2XqSeqKqQyIKWYuQSgJBBlL813LS/JWY9dhuiESCDGWwak/O0ScJbAs/R/p2ZtEum2XzqxCXq3VIWWqIR08xDWyDhXMCq6WU+SO59IREwzQjUD0vT3dVlmWJ57f2+eLv29LTHxwVn3UqnKirJWkb91psmClkLmRbuXYi+rmP25tGBHnScyCcbPAqkIVVJU5hGISm2bRNch6drfA5QGo5QK89l1Kk/7HtdqKMWZK4lJ7Utsy0Ehe+BynsBKhsR/sza5lkdGR9BlYBvSOqeYA3d2nh8bqVQjZ0CWFWWSve5rijP/rXheZBxJHY8ltuXAkOrvlTMgpXCpDMHdszXXs78PakNap5SQ+tuV8iYmtR+xLVcSndKN2BYDQmKfry4DsjCvmNXzt5K5za2/x0TQdVA6LTsmh8TfrpSTrSSX4qz/XDeWnCyRCSR3Ps70/VDf590D0yJK+vvgdFp00P4eyDQYpVSYZ0zkrP2G+FZDK9ZZrDTb51xCnfsJrFOL9sl0HdyG6DjH3VIJRikVrKwRsR4ZkPnb55C7YapHAFpOUJM6H1fjjJqhkAEpgahFP6zyuFiVE1Q5UY2O1VMhFR7kYjSl2ymEksoZkHLc3rZqN+v+zsDm1t9bdkyh66A2RGl/VyE+a6ZTbIuBJHUagzUqgXAQlxxNXqYjG0xuMMmNpqgYPb4HOn2HlArzjAmwUZy9lujkLoQT9wOUnJx2G5JuglFKhYqYFv2JSu5qZr7MXv0ZJbkbXeusUUkkdT6B2NQ+hMOdUrvNTpnNEVyOjos0Kfst2ml/VyqUMiCLC0pY8us6cnZWDD+W/i5D8mSojlKhyn3yAWt0CsldTiSm2T6Ek84D25iJR5JaJphSGyo4hFUwam/piZoFocKFtVIWhNSQCLdgVLteLU1R08TUWDr1a22G6ygVSiTbyZnxJLNhOoNRcWn7maLFUj8m3DIgpXipFDHV/q5U6GVASq2YkqKKQJQUJ+/UX/u7Co9gVEqPs7AVZ5sSG9bI8Jv9OSYuig59g3/G73ATVsGoWbNmceSRR3L66adzySWXmGWvv/46H374Ib/++qvXnykqKjIPp+xsx0wcNpvNPIKVtF2Cb8H8N6j6s8a2ITZtf8oKdxKffgjRKd3Dbl9IbBFLv1GdXd97+/u1n6hQEd92FCX52xz9PbmbWdYYfT7Q+0hquyRydhUQkxBlCpTLtM4iUNurQlOg95NgJzNhuotNjKKr9Pc07e/BQvtIw0U36+2xPVXosQXJsaQu7QurYNSBBx5opmdv3769+VpMmTIFq9Xq+r6y8ePH88ADD1RZvmPHDgoLK2YpCDayk2RlZZkdWv5+FYbiD4R4KJZYa0aGv1sTkLSfqJDS/FiK5bBVmBE2fSSyOXQ6sDkR0RaKyCMjQ2ckUL4X6P0k2EXEVNR3bNYhluad4imya38PJtpHlAqdfpKTUzGbYdgGo+RNKisr8xxTHlH3YTh33HEHN954o0dmVIcOHUhLSyM5OTmod2bZJvJ3BPLOrJQ/aT9RSvuIUnosCWzNU1LNVO5JLeNISAm/4UmhQM+3lAqdfhIbW/vP4ZANRv3222+MHDnS9f2hhx7K9OnT6/x7YmJizKMy2QECeSeoDdmZQ+HvUKopaT9RSvuIUnosCVwxcdG07dHC381QDaTnW0qFRj+pS9tCNhg1ZMgQ5s2b5/o+KUln0VBKKaWUUkoppZTyt5ANRknwab/99tvr8wI5qqiUUkoppZRSSikVasI+EpOamkpeXh6TJ092zZSnlFJKKaWUUkoppZpG2AejjjvuOLp27copp5zCsmXLmmgzK6WUUkoppZRSSqmQHqZXnczMTI/vO3fuzOrVq+s0S58I9iwqqcYv0y5KtXsdqqiU9hOl9FiilJ5zKeUPel2iVOj0E2ecxBk3qUnYBaMaSnYA0aFDB383RSmllFJKKaWUUirg4iYpKSk1Psdir03ISnlEJLds2WIKpMvUisFKIpYSUNu4cSPJycn+bo5SAUn7iVLaR5TSY4lSer6llL9lB8n1u4SXJBDVtm3bvWZwaWZUHckGbd++PaFCduRA3pmVCgTaT5TSPqKUHkuU0vMtpfwtOQiu3/eWEeUUuIMNlVJKKaWUUkoppVTI0WCUUkoppZRSSimllPIZDUaFqZiYGO677z7zr1JK+4lSeixRSs+5lPIHvS5RKjz7iRYwV0oppZRSSimllFI+o5lRSimllFJKKaWUUspnNBillFJKKaWUUkoppXxGg1FKKaWUUkoppZRSymc0GBVmVqxYwZFHHklCQgJt2rTh1ltvpbi42N/NUsonVq1axeWXX87AgQOJjIxk33339fq8N954g549exIbG8uAAQP49ttvqzwnKyuLiy++mNTUVJKSkhg3bhxbt271wV+hVNOZNGkSJ554Iu3btzfHCekrb775Jna73eN52kdUOPv+++859NBDSUtLM4Vku3btyo033miOC+6++eYbcwyRY4kcU956660qv0vOwW655RZzTiZ9Ts7R/v33Xx/+NUo1vdzcXHNcsVgszJ8/32OdHk9UuHr77bdNn6j8uP3228Omj2gwKozs2bOHww8/3Jz4TJ48mUcffZRXX33VnEApFQ6WLl3Kd999R/fu3enTp4/X53z88cdceumlnH766fzwww8MGzaMk046idmzZ3s8T9b/+OOPvPzyy3zwwQfm4uGYY46htLTUR3+NUo3v6aefJj4+nqeeespcSMs+Lf3hwQcfdD1H+4gKd7t37+aAAw4wn/9Tp04151Hvvvsup556qus5M2bMMMcOOYbIsUSOGXKh8Nlnn3n8rmuvvZbXXnvNnJPJuVlRURGjRo2qEthSKpg99NBDXs+P9HiiFEyZMoVZs2a5HldddVX49BG7ChuPPvqoPSEhwb5r1y7XsldeecUeERFh37x5s1/bppQvlJWVub4+//zz7X379q3ynJ49e9rPPPNMj2XDhg2zH3PMMa7v//zzT0kTsU+dOtW1bMWKFXaLxWL/5JNPmqz9SjW1HTt2VFl26aWX2pOTk139R/uIUlW9+uqr5rjgPJ8aPXq0ffjw4R7PkWNL7969Xd9v3LjRnIPJuZiTnKPJudrjjz+um1mFhOXLl5t9+uWXXzZ9ZN68ea51ejxR4eytt94yfcLbuVe49BHNjAojEk094ogjTPqe02mnnYbNZjORVKVCndVa80femjVr+O+//0y/cHfGGWfwyy+/mDvWzr7UrFkzM5zCaZ999jFDmmT4hlLBqmXLllWWDRo0iOzsbPLy8rSPKFWNFi1amH8l+1yOFdOmTfPIlHIeS5YvX866devM93LuJedg7s+Tc7TRo0frsUSFjGuuucaUSJDzJHd6zqVUzcKhj2gwKszqRfXq1ctjmey46enpZp1S4c7ZDyr3k969e5sLjLVr17qeJx/yMq678vO0L6lQI8ON2rVrZ2oQaB9RqkJZWRmFhYUsXLjQDGU94YQT6Ny5M6tXr6akpMTrsUQ4+5H826pVK5o3b17leXosUaFAhqUuWbKEe++9t8o6PZ4o5dC3b18iIiJM/cHx48ebY0u49JFIfzdA+bZmlASfKpOTIKl/oFS4kz4iKvcT54WCs59oX1LhFIiSegVSQ0poH1GqQqdOndi8ebP5+uijj+bDDz/UfqJUufz8fFNPTeqhJScnV9kuejxR4S49PZ0HHnjA1CCUQNLXX3/N3XffbY4r//vf/8Kij2gwSimllFJVbNq0yRTEHDlypCmyrJTyJMMfZPiqTI7x8MMPc/zxx/PTTz/pZlIKTJ9o3bo1F154oW4Ppbw46qijzMNJhmjHxcUxceJE7rrrrrDYZjpML4xIdNTb7CwSTXWvI6VUuHLeaajcT5x3Jpz9RPuSCnWZmZlmFhapg/P555+76q1pH1GqQv/+/c3MRpdccglfffWVqRP1xRdfaD9RYW/9+vUmo1ayPuScSo4pubm5ZrvIv/LQ44lSVUl9KBmm99dff4VFH9FgVBiR8aaVx43Kjrt169YqY1GVCkfOflC5n8j30dHRZiy383kyZardbq/yPO1LKtgVFBRw3HHHmeODFMVMSUlxrdM+olT1gamoqChWrVpFt27dzNfejiXu/Uj+3b59u+vCwv15eixRwUxq2UhNm2OPPdZcKMtDMgeFZNvKhEp6PFGqZuHQRzQYFUbkLvfPP/9s7k44TZo0ydzxlrRApcKdfKj37NnT9At3n3zyCaNGjTIf/M6+JBcPMpOFk8x2sWjRIsaMGePzdivVWEpLS81dOZnxa8qUKaZwuTvtI0p5N2fOHFO0XPpITEyMueCW4s2VjyVSUFaKnAs595JzMMk+dJJji8yyp8cSFcxkFi/JFHR/yNAj8fLLL/Piiy/q8UQpL6ROpxQzl5mMw+Kcy67Cxu7du+3p6en2Qw891D516lT7m2++aW/WrJn9qquu8nfTlPKJvLw8+6RJk8zjsMMOs3fo0MH1fUZGhnnOhx9+aLdYLPZ7773XPm3aNPvll19uj4yMtP/5558ev+uoo44yP//pp5/av/76a3u/fv3sAwYMsJeUlOi7qYLWpZdeKrfV7E899ZR91qxZHo/CwkLzHO0jKtyddNJJ9kceecT+zTff2H/++WfTX9q0aWPv37+/vaioyDznjz/+sEdERNivuOIKcyyRY4ocW+SY4e6yyy4z52JyTibnZnKO1q5dO3tmZqaf/jqlmob0Azm+zJs3z7VMjycqnI0ePdr+2GOP2b/77jvzkOOBHCeuv/76sOkjGowKM8uWLbOPGjXKHhcXZ2/VqpX95ptvdp04KRXq1q5da06EvD3kA97p9ddft3fv3t0eHR1tPszlgqMyuVC46KKLzEVEYmKi/eSTT7Zv3rzZx3+RUo2rU6dO1fYR6T9O2kdUOBs/frx94MCB9qSkJHtCQoK9b9++9nvuuceelZXl8byvvvrKHEPkWCLHlDfeeKPK75Ig70033WTOyeTc7IgjjrAvX77ch3+NUv4LRgk9nqhwde2119p79OhhPvtjYmLM8eLZZ5+122y2sOkjFvmfv7OzlFJKKaWUUkoppVR40JpRSimllFJKKaWUUspnNBillFJKKaWUUkoppXxGg1FKKaWUUkoppZRSymc0GKWUUkoppZRSSimlfEaDUUoppZRSSimllFLKZzQYpZRSSimllFJKKaV8RoNRSimllFJKKaWUUspnNBillFJKKaWUUkoppXxGg1FKKaWUUkoppZRSymc0GKWUUkoppZRSSimlfEaDUUoppZRSSimllFLKZzQYpZRSSimllFJKKaV8RoNRSimllFJKKaWUUspnNBillFJKKaWUUkoppXxGg1FKKaWUUkoppZRSymc0GKWUUkoppZRSSimlfEaDUUoppZRSSimllFLKZzQYpZRSSimllFJKKaV8RoNRSimllFJKKaWUUspnNBillFI+cMEFF2CxWMxj+vTpAbfNpU3O9klb/WndunWuthx22GEEsrq2VZ7jfL78rFLB7O2333btz/fff7+/m6OUUkqpIKLBKKWUqqdNmzZx6aWX0rlzZ6Kjo0lJSaF79+4cf/zxPPjgg2GzDW699VYGDBhAcnIyCQkJ9O7dm/PPP59ffvnF380Le+7BMnk0tczMTBOUkIcEKnz9tzpf+8svv/Tpa4dicMn9kZiYyODBg5kwYQIlJSX+bqZSSimlQkCkvxuglFLBaNu2bQwdOpStW7e6lslFWnZ2NqtXr+aHH37g3nvvda276667uOSSS8zX/fr1IxR8/vnnJuiUl5fnsXzFihXm8dVXX5nghAof8n4/8MAD5utDDz3Up1l2Eoxyvrbsl2PHjvXZa4c66eOLFi0yj6lTp5qH1ar3M5VSSilVfxqMUkqpenj++eddgahRo0Zx1VVXmewBuSCeO3dulcyMHj16mEeomDVrFmeeeaYrS0ICc7INOnTowJYtW/j222/56aefCNQLa8ngUkpVb+DAgeZzTvr4zz//zKOPPmqWy9eTJ09m3LhxuvmUUkopVW96W0sppeph4cKFrq8nTpzISSedxJFHHmmG7b322musX7++VjWjbDabGdLXvn174uPjGTlyJH/99ZfX2kKV6xPNmzfPPF9+rk2bNtx9993m9zlt3ryZiy66yAyha9myJVFRUaSmpnL44Yc3eBjTTTfd5ApEDRs2jBkzZnDeeeeZ9px99tl89NFH/PHHH1Wyya699lq6detGTEwMzZo1M3/HpEmTav26knkmWWYyFDAuLo6kpCQOOOAAXnnlFex2u8dzndtKhlEuWbLEvD8SMDz22GNdz1m7dq15zzp16mTa1KpVK04//XSWL19e5bXluSeccIIJZMnzrrvuOvLz86kv+Vn5HfK75Hced9xxJqtOyPsobZL2y7rc3FyPnx00aJBZFxkZSUZGRp1fu677knz9yCOPsO+++5rtHhsbS8eOHc22fOONN1z7eJcuXVw/89tvv1Wpp/XPP/+Y/aNPnz5mX5R9Uv5++T2///57jfWI3n//ffP68j717NmTTz/91PVc+f3Sfqd33nmnSg00+f2nnnqqCQrLvidDa9u2bctpp53G33//7fHa8nrOn3/rrbd45plnzBBceW3pT7/++muVbVqXfam4uJjHH3/cBHzk/ZXtLr/3scceM+uq249rU39MMhYPPvhgM2xY/kZ5P+X72267rUofqYn8vPycbFd5791rolXu207Sl/v37+/1Parre1BQUMAtt9xiniu/T7aT7F8nn3wyX3zxhcdzd+zYwY033uh6bvPmzc0+NXv27Fr/vUoppZTyMbtSSqk6O/XUU+WqzjxOOOEE+x9//GEvKiqq9vnnn3++6/nTpk1zLb/22mtdy52PlJQUe+fOnV3fr1271jxX/nUuS09Pt8fFxVX52ddee831u2fNmlVlvfvjnXfecT1X2uRcLm2tyYYNGzx+z/Tp0/e6vdasWWNv06ZNtW257bbbXM91/zsPPfRQ1/Ldu3fbe/XqVe3vOOOMMzxe0317tmjRosrvXLBggb1Zs2Zef1diYqJ9zpw5rt+1a9cue4cOHao8r3///l7bWh15jrefdT7atWtn37lzp3nufffd51r+3nvved3+o0ePrvH13Lel+yG/rvvSgw8+WO12P+igg6rs45Ufzm3z0UcfVfscq9Vq//XXX12v+dZbb7nWde3a1evzV6xYUWW7Vn449+fx48dX+5z4+Hj7smXLXK/tvu29vXZSUpLZH53qsi8VFhbaDznkkGrbIuvcP0ucyzt16lTtvuT8jJC+KNulut9dUlJS4/7ivs0r788nnniia93ll19e5fne+qb7e1TX9+Ciiy6q9rlnn32263nr16+3t2/f3uvzoqKi7F999VWNf7NSSiml/EMzo5RSqh6OOOII19dff/01I0aMMFk6kknw1FNPVamj5M2///5rhsEIqb8iNaa++eYbM+RtbzOtyRBBKSgsdZkk28hJMoScJCNCMi0kU0KG1kybNs1kjKSlpZn1Dz/8cL3e+8WLF7u+joiIYPjw4Xv9mSuvvNJkRgnJsJBt9vTTT5sMGyFZInPmzKnxd9x5552mFpWz7pYMFXr99ddNFoT4+OOP+eSTT6r8XFZWlmnnq6++amrdSO0uucaXukLOmlaS6fXjjz+adshzJRPpwgsvdGWSPPnkk2zcuNF8LRkq8jqSuSNDEutLflaybiSbpGvXrq5sNudwKHl9Z9HxDz74wPVzsu2cZKhkQ9VmX5J1QrJZJENJ9qd3332Xyy+/nPT0dLNOMtbcs9wk60cyaOTh3M/32Wcf0z8kM0+yi6TI/UsvvWSyWST7avz48V7buGbNGi6++GIz/FOGxQp5vrz/Qn7/c88953r+Mccc43ptaZeQfiXPk+0nfUGGkcr77cxSkwzH6l5bsork5yR7SeTk5PDhhx+ar+u6L0mWlTMLTIa1yu+RTELJNBOyrrq27I18fjgz2mQ/ku0r/UIy3SQbrT5F7EtLS02/mTJlimuZt7p30jdreo/q+h449znJNPvss8/MNpUsPMnAdPZ552eLTKQgZJ20U/YpyYKU7E3JDq3N57FSSimlfMxPQTCllApqpaWl5u58dXfuu3Xr5pE54S0z6vHHH3ctO+WUU1zPlZ9zz1TxlhkVHR1t37Ztm1leVlZmsgpkuWRnuHv77bftI0aMMMstFkuVdmZlZdU5M+r99993Pbd169Z73VaSVeR87ZiYGFfmj7jppptcv+u6666r8nc6szPkb2zevLlr+ZIlS1y/4/nnn3ctl+wNJ/e/88cff/Ro06JFi1zrBg4caDLbnI9hw4a51s2fP988v3fv3q5l3333nev3SPZQdZkk3rhns7hnHv30008emThORx55pFkWGRlp3759u1l21FFHubZlZmZmgzOjarMvHXjgga7MLcm4y8vL2+vredse0m+eeeYZ+/7772+yiyrvk/IeO7ln3QwYMMC1fPbs2a7lY8eOdS3f2z4sbb7//vvt/fr1c/2N7o9BgwZ5zYxy36c+/vhj1/Lrr7++XvuSe0bcN9984/rd8rW3v7cumVG33367a9mkSZM8+lptuG/z6h4dO3a0Z2dn1+s9qst74MyklN8r21gyymr6bJHnu2/7k046yfV7P/vsszptB6WUUko1Pc2MUkqpepCMB8kQkZokkgkhNXzcZ5eS2j+STVMTybhwkrpHTnLXv1evXjX+rKxv3bq1+Vpe15kp4D57nWQZSL0cyQ6R5d7qxdRntjupJeO0c+fOvU71vnLlStdrS72oFi1aeGRKOP3333/V/g6pCbNnzx7ztdTXkdpBtf0dkn0l9aLcuT9PanRJZpvzIcXZnZz1ftzfq/3339/ra9eV+3vu/nskK865vSTTxJmdItlYkmXjrDk2ZswYj/eivmqzLznbIZlbUiNMsk6khtJll11W4/tWmdT1uf76602NKskuqrxPVrc/ysx8Tu77T132X8kik1pQUj/MW62v+r52Xfcl9+dXtw/UZZu6k3pckmUmpDaT1IqT91bqLEk2W0PIviF1zaQWmGSB1uc9qst74NznJBNTPl+lZpRkd8k+5Jw8YtWqVa59SDIv3be9e10pb3W7lFJKKeVfOpueUko1gFxMOi8ot2/fboaMyPCxykXO96auw2fch6kIKWRdmXNolLj11ls56qijTMFgaaNcDAr3ItW15RyqJMrKykxATi7+6qM+w4Yq/8zefocUkq6vvQ3vqU/76/J7xo4dawp979692wQ/ZUhcUVGRWXfWWWc1ymvXZl+SoY1SZF+GlC1atMgEGCXgKg8ZciUX+zKEryZSmFuGSjpfQ4aJSt+Rr2UCAAlsVldg272N7u2rbUHuDRs2uIY3SiDtiSeeMIEN4SzMXV1faOhrN9a+JH3NnWyvyiRIu2DBArOdZdirDJ2TAvcSmJFhbxKYrs2wWvfZ9KRdEgCW4KO3IFRtt1Nd34OHHnrI/D3yeSrFzWVfk/1MHjK8T/bD2tJhekoppVTg0cwopZSqB6nrUnmGM8lAkNox1V08ViZZQk6SKeIkGUDO2kgNIVksziwFqcsis+hJhoFzeX1JnRvJjnG64447vGZHObMR5CLWeaEtF5S7du1yPce9TpTMvlUdqXPlDHbIheXSpUtr/Tu8XeS7P08yOuSCufJDXkcyf4SzppOYP3++19euq7lz53r9PVKTytlmyXI555xzXM+XekNCggLuswI2NdkeRx99tKkTJYFM2fclw8mZkfLnn3+ar92zAysHd+R9LywsdAU0pQ6TBCFk20qwraFqem33fV6CsldccYV5351ZRA1R133J/fnV7QPuz3Fmv8n2c/YzyZ7z9hkhr9W3b1+effZZEySWTCOpt+TcJnWZRdM5m95BBx1kPjdqCkTVRn3egzPOOMPMyCd/q2TSjRs3zjUro2SPuX+2yOepZBBW3vYSBJUZS5VSSikVWDQzSiml6kEyD7777jszFEYuqGR6csmMchafrjycy5sTTzzRNd26FBmXTAApJC0XkjKteUNJ4V/JYJGLWClkLlOuy+9ujAt/KUItf7dcHM+cOdNkRl111VUme0aG0EghZclekOwNCYbJxacUFpasHpnG/YYbbjCBqRdffLFWxbgl0CAXpi+//LJrONJ9991nAnfyb21+hzsJhkjWhVzUyrAjKXws72VUVJS50JcggWSTOIcGnnDCCa7g2tVXX222pwRWnMWx60OCeJJBIsOP5Gv3/cKdDFdyFueWbe3MmIqLi8NXJAggwQh5n+U9lot+96CcM1vLPTtGglYS/JChYlKcW35OhkzKdpN10ockgCv7fX0y9Cpzf+0ZM2bwww8/mDZLYEf6gpMUTpeC4TLUVoriN1Rd9yXJaJNMHyF9RoIsElC5/fbbve7HEnCRbCf5TJCfPeSQQ0y/8RbslmwjGcYpgUrZ5rJvSfHxyu+TP9T1PXAGwWT4Yrt27cx2WrZsmcffIlmDUqz++++/N58n0k+lv8j7vn79epM9JZlVMlxSgrxKKaWUCiA+qEullFIhp6bi5c5iulu3bq2xgLm49tprq/xscnKyKVZcUwHzysWh3Z/v9OSTT1b53S1btrTvs88+VX53XQqYO0lR4ISEhGq3QUpKiuu5q1evdhUk9va47bbbXM+t7u+UYsXepo93Ps444wy7zWbba+FnpwULFpgi3TW9j05SCFqKd1de36NHjxoLdlfmXnTa/Wedj/T0dHtGRkaVn9tvv/08nvf999/X6j2qTQHz2uxLo0aNqnYbSRF790LqQ4YMqfIcKQgurrrqKq/bsFWrVlVe0704tvPna2p7SUmJ131Mfo849thjq6w76KCDvO4n7gXMnT9fUz+py74khbhlUoHqnnfIIYfYi4qKXM9/5ZVXqjwnMTHR3r59+yr9+KGHHqr291qtVvuMGTNq3F/ct3lt9ue6vkd1eQ9kEojq/pY+ffqYYvhi/fr1HtvC28O5fZRSSikVOHSYnlJK1YNk40gWwujRo83wEMlAkHpM8rUMP5GskTZt2uz19zz99NOmoK9kVknWiGSeyJTn7lkeUq+lPiT7SOrySEaC/A4ZEiUZCbVpV22ccsopZvjMLbfcYqZ6lzowkq0jmRySweEcHiRkKJbU0JKsoi5dupiskeTkZJPlIYW5JdNobyQLQoYeSRbRPvvsY4b3yHaXDDSZyl3qGdWlhpNkoUnB6csvv9y0T94/GQooWS6y7JdffnE9V7K7ZGimFHCWbSltufTSS5k0aRL1JT/7f//3f+Z3y3aTDA95DRmSWJmzmLOQTKPKBdmbmtQZO/30083+Le+zZHRJtopkqEkWknshdcl4kSF9lWtRiQkTJpjhfVL7Sn6PZLLIdm6MLC9pk9QkkqFl3oaUvffee2YYrWw/eZ/PPfdck8HXGOqyL8l+K1mDzmxF+dul70sfGj9+PD/++KP5efd6XbLPS+0zea4Mt5XaT+7DfJ2kqL0MB5TXle0vmUeyr8rnlGRISbaRP9XlPZC/WbIEnZ9f8pkh2U2yPeVzTP42IRlgkgEln0NSjF+2pbz/8rVkqck+IUOLlVJKKRVYLBKR8ncjlFIqXMlHcOUAigyrkwssmW1KLtjke/d6OCr8SPFn5zAnCXa6D29USimllFIq2GjNKKWU8iPJFJEaTpJxIwEoqXNyzz33uKY9l9ozGogKX1IXR4qFO2tGCcn2UEoppZRSKphpZpRSSvmRDNF74IEHvK7r3bu3GY4jw7hUeLrgggt45513XN/L8DwZxqWUUkoppVQw03EfSinlR1LHSWa+kvo7UidG6ujIDFIyFbnMwqWBKCWkJpPUbPrggw90gyillFJKqaCnmVFKKaWUUkoppZRSymc0M0oppZRSSimllApzUj5CJtap7iHrlWosWsBcKaWUUkoppZQKc5dccglZWVk888wzzJo1y7V82LBhXHPNNWa9Uo1Fg1F1ZLPZ2LJlC0lJSVWmY1dKKaWUUkopFTjsdjs5OTm0bds2JGcoLiwspLi4eK/boPK1a0xMjHm4a9++PZ06dTJfH3jggR7rZNZnWa9UY9FgVB1JIKpDhw6N9gYopZRSSimllGpaGzduDLlgigSiusQlsA1bjc+TCXJyc3M9lt1333067E75lQaj6kgyopwfZsnJyQRi5taOHTtIS0sLyci/Cny6D6pAoPuh8jfdB5W/6T6o/C1Q9sHs7GyTTOC8jgslkhElgaiNdCa5mnLQ2djokLuuyvVr5awopXwtKINRq1atYsKECcyePZt//vmHXr16mX/3RtITH3/8cV588UXzwThw4EAmTpxYJQWxJs70RunIgRqMkgi5tE2DUUr3QRWu9LNQ+Zvug8rfdB9U/hZo+2Aol1hJJoZkIqpZWxbQ168qfPn/U6Eeli5dynfffUf37t3p06dPrX9OAlGSjnjDDTfw7bffkp6ezujRo1mzZk2TtlcppZRSSimllGoaCXt5NEwoB/KU/wRlMOr44483aYafffYZgwcPrtXPSFR+/Pjx3HTTTSYYNWrUKD7++GNSU1NNlpUKLGvtcI0N+pfByDJ4zwY2u79bpVRgWIKNcyiiM4XsTyGvUkoZ2kGUEtsp4yGyOY6dXMQeZlDksWFybLCzTLKldXup8PQfxXxMNtPIx+Z27FhaBvcVwm0F8Eup9hGlgksUEF3NQ9Y1jFwz//bbbyYpRKmwHqZXnzTPP//804wXPu2001zLoqOjOfnkk5k8eXIjt1DVhh07X5PFa+xkO6UMJ4HraEW+PYaDbJAPlJZHTKfb4Tc7vGaVyLxuXxVe/USSqyNx7PizsXEYRWaZ9I8NwHxKmEkZ7xBDZhl8nQe5NjgsDvpoOQAVRv6lhOHsIBO7KeUqJzlvkc8TJHNqaRLXZMH3RZh1fSNhQjIcHevvVivlGwXYOJ9tTCLHtawLUXxNO74ojOHeIswgHznaPFEMYyLhi3iI1vMupYJAYg2X9nLG2DCXX365SeAoKSlhypQpDf59SgVtZlR9rFixwvwr9aXc9e7dmw0bNlBQUOCnloWvO9jCWNYwhWzmk8+L7KA/y/k/Wxl5bh+bzrkh3gDmASsL4cGtcPMm+DoTyvTutgpBuZRxA6tJ4U+i+INBLOBbdnEzxZS49Q/n7v8uNh7LsdF2DZy/Da7OgL7r4fytUKp9RIWoUmzkuZ1kX00WWeWBKMd6h1ttOQzbaeeH8kCUWFYKx+6G3z0Tp5QKWbexg8/dAlFiAyUcWrrDBKKE80aHmFIKE2ueLV4pFYKZUddff72ptezu4YcfNiONNBClCPfMqPrYs2ePmTEgNtbzFmjz5s1NZ5P1cXFxVX6uqKjIPJwku8pZkE8egUbaJH9PILbN3X8U8iTbTDRUPurkX2lxkb2MOabptiqRUtlZ79sBP212PF8eE7fDAfHwQ3dIqq5mn/KpYNkHA5kMmziWv5lFtrkwkH39H3I5kWWAY2hy5f4RUWzhni2SR1XRd+Rm9gfZsG803NScsKL7YWjLpITbWMEHbKEIG31I5E568mt5kdbK/cOSG09GmXwmWTzWyWHj4RyY0vARDFXoPqj8zX0flAF5b5Bpzrrc+4Ccg2UWJRBpK8NWnoHr7s1CuD4Cvt0NS/OhUwyc3BIS9JxL1XEf9Cd/v77vMqOqO5jJbUylAk/YBKPqS+pMPfDAA1WWy2x8Eh0ONPJhm5WVZT74A2HWiur8SqapdVPl0CBnRfaM8stoT9Zi2LXZeSlewVYI//sXLm7ZlC1WobYPBrJF5FDALgZWWSP9Yqf3H8qOgFznAAtP0wvg3DA7D9H9MHTJJfNNrGAdBezryg3MYSKLGEIn7z+UWwbFhV77h9xuyiiF7BLYXAQtoqBVIwxv1X1Q+UsJNr5lC7/YtpOaVUozewqHW9vRt1JWlEtRNJR67x8JZTBuG2wvBqvFUb/z3Qh4oDN0r3oPV6mA/BzMyalm3w/JzCilgkfYBKMkA0oynCSA5J4dJRlRMjuArPfmjjvu4MYbb/TIjOrQoQNpaWkBOTWmfOjL3yPtC5RAgORq/MF2fmELCURyKp3JoxkLySu/h11JWSwRJFNW+aRoG0TEOicn9bSyFO5o1UR/gAr6fTDYzKKAxURT6rUoeRQRpFTtB/YoIuwRVfsNEGOBVmHWP3Q/DF1fs51JOIfWV+zvFuzEEEsxMVVvdMQkE5Gf4LV/dLHAgzvgjY0VQ1qPSoO3+0HLBgSldB9U/sqsHcsMprAdiw0GW6z8nbaDF6y7iaAved6OK0XxWArTsFfqH3J7o9kayLRDWZTn8rO2waqhEKn1pFQQnBNWHhkTmpxD8pQKHmETjHLWivr3338ZMGCARy2pjh07eh2iJ2Ronzwqkw/UQL3Qlg/9QGmflFk+mV/4nk2mALOcAt3JQm5jf0q8XBTICc4Ayx7W2pojAyLLypfJv/1ssELuynl5nUybo7C5FjcPDIG0DwajZkSZmh3ehkxEsolkmrOnfGirs38cExvBlJyIKpcZ8g7sGwMr8+DZlbBgD3SIgyu6wajWhDTdD0PTLLKIwEqJl4vqfDYRRXez30sfkh4kzxqbaOergqr9Q9a32g6vbC0/tpR3uR93wQmLYNawhh1XdB9UvvYz2/iO7eZrUwrBAsVWOxZrGZ3JZQ2JHv1ALgQ6xxZQUmJlk93iutFhRuEVwQ4p4lmpD0hf2VgCv2XDkWE2BFwF5+dgeJyPJsiVazXrtDiiCkzh0DON4cOHm0ymSZMmuZbJbAAyk96YMWP82rZQNoElTGGT+VqyPGT6eTkJeox5nI8jsyzC7YQoBiuvWtqwxAo3W2CYXGQDn1nhjiTvI55lJx6e4LhgKLHB+lzICbMhSSp4zWM7x/AVsbxIKq9yA38whhSs1QRrzyaFpcRyH5EcjZUzieAXovkoOYJWERX9yf2i4WQLDPgRXlsDc3fDV1vgiN/hqX999mcq1WhSiTLHEm/iKOBPWnIysbTHymCieJVmfB6VzEspjv4hxwxnPzkuEhZsq3qTQybGmJPpeCgVTKayzTX7qjvpM2tYzY0098idGE4cv1ra82eihTOiKirOHBwBL+2lllqGFjdXKoBE7eWhVOAJysyo/Px8vv/+e/P1+vXrzdC5zz77zHx/6KGHmlTQUaNGmXWrVq1ypWfKkLv777/frO/Xrx8vvvgiu3bt4uabb/br3xPKXuVfr5lMcqLUjF18Tk9eZxdbKeEgErmeNLoTa+7CPVbpXKq4GfSPg6UFFUP15KJCnvZgOjz9DzzyN+wucqSNn9kVnjsAmunU9iqAA1EH85m5SJCHZBI+z2Kms4nXOIxLWGmeJ4EpyQLpRTwT6EpLLNxb+cQiAv7oAJduh9/KRzC1i4DHWsL42Y5ArWuGsfLr+NuXwNmdoE04ZK+roJVHMX+TQQqx9KYFZ9GWu/jPbS5JBwkwXUh79iOGT7zcHb4sAY6Lhc8KIN8Oo2IguhC+qWG2yWW5cKBmfqggEl3DfWZZ9yRp3EULllNMayLo5gxNWeH9eHjX7jhWyHlUTilcbYXCamo/Dw28ahVKhTHJjIoNpUt+FQaCcs/MyMjg1FNP9Vjm/H7atGkcdthhlJWVUVpaMd2zuO2220wBvQkTJpgC5AMHDmTq1Kl07drVp+0PJ3vwfttMzv13U8jJNDeP2oi2wrQecOcWeHcXFNhhaDw80g4Wroeb51U8Vy62P1wDa3LgjzE6fE8FpvuY4wpEOcnXf7GTaLJZzVA+IIOdlDCMZMbSgqgaLjR6RMP0DrCtFHJt0CUKNuTDMsckoFVIP/l+K1zUpSn+OqUaRvJon2Yu9/MHueV5sf1I4wNO4B36cwF/m/o4EqyVzNv9SGE8+9T4OyVAe51MOFRuh71iNldvOmuBZhVkTqMDj7GiyvIILGadBQvNiTAZUd5IkXLnUSYpEm5tDw9uqPQceZ006BEHhaUwcyvILPAHtYW4oLyyUCrUa0aFw2yCKhgF5SGjc+fOJqhUk+nTp3sdsyzZUfJQvnEQrfiJLVWGVMgFxDDqXlE5NRJe7ggvdXBkR8mdu2KZ6WVx1efKMIuZGTBjO4xo05C/QqmmMY1NXocbRWJlOps5i324k451/r1t3D7ZZeajmuxltVJ+8w5LuJlfPZYtYycj+ZDVXM46RvIRW9hjMmubczRpXoe31iQtBk5Lh0lbPSfHkGNL13g4rEUj/TFKNZHt5DKXjTQjjuF0ZBDNuZ1eJiDlHK4n/29HHOPpV+fff18nSIiAJzbCrlJIsMIVbeHhzvDpSrh8GuwpL0eTHA3PHwLn9W7sv1IpVbvMqOruoFQu4qBUYAjKYJQKHvcwkJ/Z4nHnWe7OtSeBc+le798r9aGcO+/mfNhTTd0Ced0FuzQYpQJTIlEUep0f0k5SI43v75oA+yTBfzlVA08RFjhGA7UqQD3GLFcBcicJ3u6mgPdZylUM4WYantn8yr6QWQpTdlQs65kAXw9xZImUlMGszY4bHAdK5oeW3lABwIaNW5jCc8yitPwMqxPNmMSZjKc/R9Ka91lHAnmcSVsuoisp9ZhpS/rArR3gpvawuwRSIh2Z6vO3wxlTPPtndjFc8DN0SYYR7Rrxj1VKNTAzyuv85Ur5nQajVKPaShabyaI7LWlGPMNpzY8czW3MYx47zV26U+jMUww1F+KNITXGcVEtFwqVyelZGx1moQLU+fTmGf6qkh0lQ47O3stwo7oEbl8cDEf/7rhokKF5zv7yYF9oq/1DBegQvf/Y7TVzTzIHJUOqsSRHwQ/7wz85sCQHOsbC8OaOvvP1Srjke9iR73huSgw8cwRc0L/RXl6penmGP3mamR7LNpLFaN5iLTdzOK05jDQyyKAVrbA2cM4iOW6kuV3n/u9vxzJnDUL35z23WINRSvmeBqNU8NFglGoUu8jjEj7iK5aYi4doIriCg3mSExlJOnM5gTxKTL0bWdeYUqLhNEkXX+cZkLKWrzux7qOclPKJexnKb2xmPhmu4RQSiHqQAxhcj2Gs1Tm8FSw4Ep7+DxbsgY5xcEV3ODa94jk5RVBqg+YanFIBQOratCeJjeRUWSfB286kNPpr7pvkeDj9swNO+dzzuJJVBBd+B51SYGSnRm+CUrUO1j7FjCrLpQRCFoV8yGKu5MAm3Zor9lQNRAlZtnxPk760UqraYXrx1WybhgWjlWoqGoxSjXJSdCKvMZv1rrvYxWZWsN/N5fVETjbLEppwWtEXhjmKlc/Z6Ugplzo5Eoj69ggtpqkCVzLR/Mk4JrOaaWw2Q/OkTtQg0hr9tfqlwFv7V12+Ygdc8w38vNrx/ZB2MHEMjOjc6E1Qqk6uZyg38YvHMqkJFUsE59Wj9k1dvbDAUWzH7iXzY+JcDUYp/5FheVu8BGqdmYOr2N3kbejdHBZkVA1ISb01WaeU8jW5zqruWkvHl6vApMEo1WDz2MBM1nq9Q/cSM3mAMSRXO9Vo42geA7OOg+nbYOEuSI+DsZ0gXvdwFSC1PV5iOi/wK5vZwyA6cifHMpp9iSKC0+lpHr62PRcOegWyCiuWLdoCo96AuVfAwLY+b5JSLtezP+vJ4n8sMMcT0YJYPuUkWps7wE1r+S5HtmBlkim1bJe+Ucp/5LjRgRQzLM9boGofWjZ5G64eAO/+671/XDewyV9eKVWFHBerOzbWbXIPpXxFc/ZUgy1hS7XriihlTSPW9qiJ1PcYmQ437QtndasIRJXZ4OOFcNLrMOZleHY65JbP/KKUL1zNB+axgq1kU8gMVnE0E/mUeX59A16eA5mFnsOQJKtQvn38d3+2TClHFtSzHMl6ruQTxvIDp7GJazgM34yP2ycVIr2cJUlmlKxTyp9uYUSVZTJBTCpxnEnTFzUb0go+PspxM9BJMtLfORIO1hsZSvmxZlR1D6UCj+aNqAbrRGqNFxNtm6C2R21JIOq0t2Hy4orhe1OWwyt/wszroXl1Q6uVaiQr2W6yooQz5lNWPvPRTXzCKQwhwk/3BeZscvSJyiQbZOYGf7RIhats8pnEbLaRxWA6M5oBrn7RnmROI9nnbbpyMLyxmKoz+tnhBi9DXpXypas5kB3k8QS/U1Q+U1Z3WvAJZzR5NrrTqT3ghK7w51bHcNbh6RCrVxZK+YlkRSXq1ldBRQ8ZqsFG0oNutGQdu10X2UIuJE5hAK1wqwjrY18tcQSihPOiW/75LwMe/xkeO8FvTVNh4leWV7tuE3tYTQY9aYM/tEpwZH5UHookF9+t9XxG+ch0lnICT5JLoTluyDCjgXTiJ+6ipR+CUE4DWsOnJzlm09tTPpQ1MQqePgKO6OK3ZinlKvL/IEdwAwexkC00J5ZBtDXLfSkmAka2975uRw5s2AWdW0ILPaYo1cRqyoDSzCgVmHSYnmowuXj4nsvoUilD6lC68Qqn+XULf77YMaSiMrmz/fEif7RIhZv4vZwA7G19U7poiPeaOBKw/T/N/FA+kEchJzKBPIrMfieBKLGEjVzFm35/D07eB7ZeAz+fCVNOh23XwqVaD0cFkObEMYpuDKadzwNR1ckthHNehzY3wn4PO/699B0oKPZ3y5QKZVE1DNHTAuYqMGlmlGoUPWnFv9zFb6xmA3voRzqD6eD3rVtS5jm8wl2pI6tdqSZ1PAOJJYpCSqoEcfenM+1rGOba1A7pAuNHw50/OmquWcoDtRcPcTyUampfMp9sCqoslyzbz5lLJnk080Gx8prERMIonV1S+XECjNf5kVf4gW3sYRi9uI1x7O+HSS9q6+zX4bu/KzLS5abHmzOgqBTevdjfrVMqVEn6YXUpiNVdDSnlXxqMUo3GitUM2Qskx/aFSX9VXS5Dk8Y2fX1PpWhGPG9yIefwmqmh5pwVLIU4XucCv2+h2w+F0/vB5GVQXAZjesKAdH+3SoWLDLI8+kXlgNSeAAhGVSe/CCbNhpXboEcbOPVAiHcr5qxUY7icF3iNqSbryY6dL5nNV8xmKg9xOAMCbiOv3A5feznvksDUB7PhsVOgbTN/tEypcMmMqm6dUoFHg1GqzuRkaDu7iSCCNAL7jOKMwfDKTJizvuIOXYQVWiTA7Uf4u3UqXJzJAQyiI2/wB1vIZAAduIiDaenHemruuqTCTQf7uxUqHA2lu9dAlJD+4c/MwZr8sxFGPQQZ2RAV4cjCvfUD+OUe2Nf/ScEqRCxhnQlEOc+9nEFaCeBez2ss5vmAGZrntLT6CZbNediKrRqMUqoplBFrHt7X6RhZFZg0GKXq5Df+4lqe42/WmO+H05cXuJ6BAZYR5T684uer4Lnf4MMFUFgKx/WFmw+Htv6b5E+FoV6k86Sfa6gpFWiG05PD6MMfrPCYAEPcyylEBeBpiswaNm4i7Mp1fC+BKCHfy/LlTzmGvSrVUFNZ6DVzUL6XQNUOsmgVYDcFOzTfy/rAjC8rFfRsRJpHdeuUCkS6Z6paW8wqjuRmysqnEBZzWM4hXMdS3qYDrQJya8ZHw+1HOh5Kqdpbtw1e+Q7+3QTd0uH/joUe7XQLqsYjWR1fcws38T7v8htFlJJOM+7mZK4gMD+056+Bf71kf5TZHMtl/f7d/NEyFWqi93KaHojB2sGdYHBH+HuT5wQZUh5hRA/o0dqfrVMqdBUTbR7VrVMqEOlseqrWnuRjkybufodO7mTnU8gLfKFbUikzG1gpf7GCpaxyDasIRtP+gt4Xw5OT4MuZ8Mxk6HsJfDfH3y1ToSaJOF7lUjJ5k228zEZe5EpGB9zwI6ddOQ1br1RtncQwr8tlAoyR9Kd5tcWK/UeyAr+4CnpVqj04sCN89H/+apVSoa94Lw+lAlHg3VJRAUuyoErdsqLcA1JzWe6XNikVSD5lKtfyGNvZZb7vQUfe5EEOZjDBpKwMznsCiks9Z0OSiwxZvvVjiNZamKqRxRJtHoFuUGdHlod71oeTLB/cxR+tUqGoA2lM4GJu5HUisVJaXi8qhXhe4AoCVccW8Pf9MGMlrN4B+7SBA7vq8FWlmlJJDUEnz/mclQocGoxStZZOC9aw1Uwz7LkTRdCWlkG5JddugZe/gGXroEs6XDYW+nb1d6tUMPqN+ZzBrR7ZUKvZxGguYylf0IX2BIv5/8Gmnd5r5ezOgd/+hiOH+KNlSvlf62Zw1VHw3A+ek2VLHpcsb6X1CFUjuoGxDKMXb/Aj28lkf3rwfxxNa/ZSnMnP5ObFiJ6Oh1Kq6UkZw+ryictLHCoVcDQYpWrtck7gD/6uslyypS7m2KDbkr8tgqNvcBSflUyQyAh4cTJ89CCceri/W6eCzZO8hRWrR001CdwWU8pLfMoT3EiwKNzLLbRCzfdW9SR9Yg0biCGaDrQN2u341LmQlgxPfwe7cyE1EW46Fm470d8tU6HoQHqZh1JKhWNm1JIlS/jpp5+YM2cOW7dupaCggBYtWrDPPvtwyCGHcPTRR5OQkODvZqp60JpRqtbOZBTXM658x5FqHhbz72P8HyMZFFRb0maDCx6G4hJHIEqUSlDKBpeMh/xCf7dQBZu/+c8jEOUky5awkmCyf09IivO+LiYKRvTzdYtUKPiSH+nCIfTgcDpyMEMZy+IgHeIdYYW7ToIdr0Lmm45/7zzJsVwppZTytby9PIKN3W7nnXfeYciQIQwYMIBHHnmEjIwMWrdubYJQkZGR/PLLL5x++umkp6dzySWXsG7dOn83W9WRZkapWpPg00Su5gpO5Htmm+F5J3JwwM6iV5PFK2HdVu/rsvPgl/lw/MG+bpUKZp1px2Z2eB3G2jnIMkDiY+GJS+GK5xwX1xKktVoc9aMeOh+aBV7NXBXgfmOOmR/P3UL+4VDOYAU/04Y0gpHVCinx/m6FUsF1M/CnWfDDDIiKhHFHwgH9/d0qpYJfqGVG9e3bl+LiYs4//3w++OADevXynh2an5/PlClT+Pjjj9l333159dVXOeuss3zeXlU/GoxSddaTDuYRzKQwc43rg/FTW/nVNZzFHyz0WuD/Mk4l2Fx+HLRrARM+g+UboHtbuPEUGHeIv1umgtFjvFRlGKv0jVzyeJWPuJdr/do+pVTTk3Ork6+H7/5wlEYQE96B686BibdogXOlGkLqQlU3h3MwZkbdfffdnHHGGVjlrk8N4uPjOfnkk81DMqM2b97sszaqhtOEchWWBvaA1GTv6+RO3WHBNfmZCgDjOJIHucpkQjnFE8u7PMLAIK31cfww+O0pyJgEfz6rgShVfwtZ6nUYqw07f7FMN60Ke4tYwnGcTSwdaEZ3ruJ2dpbPzBoqXvwYvp9RURpBHuLZ92HqTL82TamQyYzy9gjGe+yS3bS3QFRlnTt35qCDDmqyNqnGp8EoFZZiouGZ6xxfO2t8OD/vHrwEWuhsSKoew1jv4TI28TMfMJ5JTGAb0ziH43RbqrDXjtamj1QWgZV2tAm57ZOZDV/9CHMXQ16+v1ujAt3fLOUgjmMK0yiimCxyeIV3GcEJ5BM6O9BbX3pfHhEB733r69YoFVqK9/IINTNnzuT111/n33//9XdTVANoMEqFrXOPgZ+ehVH7Q9uWcFA/mPQw3H6ev1umgllrWnAWxzKO0SShM3soJa7iXOxeBhDIUL1LOD2kNtKzb0GbA2DcNfDw/6D9QfDBV/5ulQpkDzORYkoqDWMtYwWr+IDPCRVZuVKUuOpymUgmM8cfLVIqdOSVD9Xz9gjGYXqVs6QuvPBC1/cvv/wyI0aM4P/+7/8YOHCgKWSugpMGo5RXa1nHXdzPaZxr/pXvQ9ER+8PUibD5a/j9JRh3uL9bpJRSoeciTuM6LvTIjoomijd4jAH0JlT8MB2ufxiK3G5D5+bDuTfBgiX+bJkKZD/zu9dhrBFEMJ0/CRWHH1BRK8qdTJBx2H7+aJFSocMfmVH//fcfFouFDRs2MG/ePC666CK6d+9u6jj16NGDO+64g7y8hofCZsyYwTHHHOP6fvz48Wb2vOzsbMaNG8cDDzzQ4NdQ/qEFzFUVPzONEziVUkrNzGBSdHYi/+NrJnEEI3WLKaWUqhMJQj3DPVzL+fzEDGKJ4XhGkUqzkNqSz73jGHIkmR7uZDj4Sx/C6+P91TIVyJJIYg9ZXvtNEqEzfentF8GkH6GgqKKPSHAqPQ0uOcXfrVMquMmAXs/5nCsUNtFrfvPNN/Tv35+OHTvy3HPPsXLlSm699VZ69uzJ0qVLuffee5kzZw6//vprg15nx44dpKenm6/l927cuJHrrruOxMREM9veqacG30RBykEzo5QHCUCdz6WUlKeLy7AK+Ve+l+WyXikV3tasg7Muh4TOkNgFzr8aNmzyd6tUMOhKRy7jLM7nlJALRImV66sGooQUal6zwR8tUsHgAk43N/4qk3OuswmdKE3PzjDrPTh2hGOymLhYOPtYx7Lm1Uwqo5QK3Myob7/9luOOc9RGve222/jjjz/M0LnDDjuMq666iueff55p06axYMGCBr1OixYtWL9+vfl6ypQpJjDVt29f831ZWRk2W3VhOBXoNBilPPzJbLax3WREuZPvZfks5ugWUwrYwAZ+53c2E15TyG7aAkOPgU+/hvwCR3HmDybDAcdAxg5/t04p/+rX0/swJFnWp4c/WqSCwW1czXD2N19Hlv8n7uBaRnAgoWTfHvDVc1C0APLnwtsPQ7vW/m6VUsGvsWpG3X///WboXXUPWS8yMzPN8Lnjjz/efJ+Wllbldw0aNMj8u2XLlgb9bTJET4Jdt9xyC4899hinn15Ra/Kff/6hS5cuDfr9yn+CMhi1YsUKjjzySBISEmjTpo1JBywuLq7VdI/eOlVhYVMlLwafQopqXF/QZImeSgWHTDI5hZPoQTeOZBTd6MI5nE2uOdyHvmdehcwsz+wP+XrHTnjhLX+2TCn/u/FiKKt0g9ZicTyuOsdfrVKBLp54pjGZz3mTSzmH67iUuUzhUe4iVEmfUEoFXmaU1GK6/vrrzdezZs1yPcQ111xj1jszlFJTUxk6dGi1v0uCVaJXr14N+tsmTJjAUUcdZV5zzJgxHjWivvjiC44++ugG/X7lP0FXM2rPnj0cfvjhpija5MmT2bx5MzfeeCP5+fn873//2+vPS5Gzm266yWNZTExME7Y4uBzI/sQRRwEFVdbJclkfLlb8C99875j55fgx0Lthn6MqREjg6VcqZu2QoaxyCWHHxgd8RKj7cbr3YUhyAf7z7/DArf5olVKBYcT+8OFEuOYB2F1eAqhdK3htPPTu7u/WqUAm2VAnc6x5KKVUXUnAqboYrzMYJQW/K18DV74Obt++PZ06dTJfH3igZ2am1IaS9c4hepKxZLV6z23ZuXOnyaI68cQTzXV7Q6SkpPDmm2/WGPBSwSnoglEylaN0JImCSjRWlJaWcuWVV3LnnXfStm3bGn++devWVTqWqpBMMg9zLzdxh6lf4CxgLv/Kclkf6iT4dMe98OQzIJ+vcvfujvvgxmvgiUf0bl44W85yfuLHKsulrtrnfM5jbKQDHQhlzZIdfaDy9NzSV1JC/+NBqb0643g45WhY8A+UFsEBQyAqSjecUkqppiND8Ur2Eozq0MHzHPW+++5zDburC6nT9MMPP/Dqq696XV9SUsIZZ5xhvn7ppZfq/PtV+Ai6YXqy4x9xxBGuQJQ47bTTTOGyH3+sepGo6u56ruYT3mMo+5FKc/Pvp7xvloeDr751BKKE1MNzZoE8/TxM/tqvTVN+9h//VrtOMqRWsYpQd+6pVQNRzr5y7jh/tEgFmn/4mxu5klM4hru4idVh0C8qk+DT0AHQvbNjdj2llFLK38P0ZBa6rKws1+OOO+6o12v9+eef5ObmMnr06Crr7HY7F110EXPnzuX77793zYLXEAUFBSbpRGbpi4+PJyIiospDBafIYKwXJTu4u2bNmpkdXdbtzQcffMBrr71GVFQUhxxyCI8//jj9+vVrwhYHp3GMNY9w9Oa71UzNHQFvvA2nnOivlil/60LNBRI74UhrDmUXnglTpsHk7yCy/AhSWgrnjIPTw/MjQ7n5nE+4hLNMRq3MBDaNn3iVF/icHziEkbqtlFJKqSbKjKquNpQzYyo5Odk8GkqG6Ml1dFJSUpV1N998M59++qkJRA0YMIDGIDPzffjhh5x55pn06dOH6OjoRvm9yv+CsmaUBJ8qa968Obt3767xZ0844QQOOOAAM951zZo1PPLIIxx88MEsWrSIrl27ev2ZoqIi86DSWFvJxArEaSSlTRKRDsS2BYvtGY7Mj8pDoGWZzBammzZ898F96ceBDGMBCyij1LU8gggOZxSd6VxlJspQI/3ik1fhlz/g2x8d9QlOPAYOO8ixPlDe9lDeDwNVHnlcx/+Zr51DvCVj0EYZV3MxC/nP6/T1oUr3QeVvwbQPShPffgteeVlm3gK5hr35VjjsMH+3TIXCPujv1/eFknquqy2Z9Ms9GHXZZZdVeY7MdDdx4kST/DFq1CgayzfffGOKmF99dXiM0gknQReMaojnnnvO9fWIESNMaqFU95ed+8UXX/T6M+PHj/eo2O+0Y8eOgJyFTz5sJe1SPvirKyinanbc0RBhqTojUoQVjjoSMjJ0C4bzPvgSL/M4j7GS/zyCVDdzCxmEz84xoLfj4bRjBwEl1PfDQDSfOXRjn2rXz2MOXehGuNB9UFWnhBIKyCeRpCYN0AbTPvjG6/DdtxAVDVI7We793n0X3HwLDB/u79apYN8Hc3JyCIfMqOou7Ctun9aflMj57bffTNHyZcuWcdxxx3msl8wlGfZ3zjnn0KVLF2bPnu1a161bN9LS0ur92jIMT4boqdATdMEoyYCSDzVvGVPudaRqQ4b2SWbUggULqn2OdCqZrc89M0qKv0mHaow0x6b40JfItbQv0E88AtVZpzvqQxUUVgzVkyF6MtnEO69Dq1b+bmFgC/V9sBWteJO3WMxfrGUtPelJX/b1d7NUmO2HgUiyBf+m+uNpFJGm/4QL3QdVZYUUMoF7+YBXySePFqRxObdwKddjqXYerNDfB9esgUce9l6P8LZbYNkKrb0WrAJlH4yNjSXUyRA9WxMGoy6//HKTwPHdd9/Ru3fvKqOKnLWb33//ffNw99Zbb3HBBRfU+7WvuOIK3nvvPa81qlRwC7pglGQyVa4NJcGprVu3mnWNzduUl0I+UAP1wC4f+oHcvkDXrSv8+gPccCv88adj2UEHwtOPQw+dmrtWwmEfHMwQ81CBKxz2w0AygsPM9PTFXqpWtKAl/RkUVsP0qtsH16+DrZuhe09oWf8bxSoI3cAFfM/nruHcO9jOQ9xssqRu4J6w/RycPq1qnU6nDRtg7VrQpIjgFQj7YCDv/4EYjLr++uvNw93DDz9sHhIQGjhwYJWfefvtt82jKUjR8j/++IPhw4ebicwql+yRfeyGG25oktdWTSvoglGSGvjoo4+SmZnp2hEnTZpkPmTqGi3dsmULM2bM4Nxzz22i1qpgNWgATJ8qgU7H9ykp/m6RUkoFtlRacDcPcy+3mjpqZZSZf+XC+zGeIZrwLji6cwf837nwy1TH9xGRcN7F8MRzoLVYQ98qVvAtk7yue5HHuYwbiSeBcLS3pJW4OF+1RKngHqZX3Zxy1cR668Ufs9ffdttt5t8NGzZ4DP9z0mBUGAajli9fzvz5880UkTK7XZs2bVi1ahWtW7f2Wlm/sUiK4PPPP8/YsWPNFI+bN2/mlltuMcvbtm3rep4UTVu/fr1pk/joo49MsbUxY8aY50kBc6kHJWNQb7rpJsJVDln8yc9m1qNhjCKVlv5uUkDRIJRSStXeddxCN3rwEs+yjtX0ph/XcnPYz6Qnw49OPRYWL6rYVmWl8M5rjlkpJ/xP97JQt4i51a6TIXsSrOofptm2xx7nKIXgNl+Qq0TCoMHQoYO/WqZUcGVG+SIY5Q/hUIA+XNU5GJWfn88ll1xipmyUKKTsHEcffbQJRkl9JSlY9sQTTzRpzahffvmFa665xgSkJPAl7ZGZ8dyVlZVRKvONl5N2SSaUpBw6s6oOP/xwHnzwQbMuHE3mbe7jSoooMN9HEsVNPMrF3OzvpimllApSxzHWPFSFebNh4byqW0TOryUgdffD4GWiYBVCpD5UQ9aHsubN4aWX4eKLHAEo53VnYiK8/LK/W6dU8GRGVTcYUUM5KmSCUTfffDO//vor33//vZmRLiGhIqVYso5kOsemDEYJKZr2888/1/ic6dOne3x/4IEHMm3atCZtVzBZzFzu4CIz7bZTKSU8zi10pRcj8ZwhQSmlaqOgAKZ8CZvWQ88+MGqMI/NDqXC2Yln164qLYcM6aFa1BIcKISM4gla0YScZrppRIoJIDuBg2tGRcHb2OSBlaN56S8poQP/+cNHFOmmMUnXJjAr1YJTMZC+jm7zNaD948GC/tEk1TJ0vET777DOefPJJU59Jso/cde7cmXXr1jWwScoXPuIlrKamh2dJO1n2Ls9pMEopVWf//AVnjoZdOxz1cGQYUtee8MnP0E6HWagw1qmGBGzJBGnbzpetUf4QRRRv8hVnczRZ7DHF/qVEQns68Qzv6psC9N0XJjylm0Kp+siX2knVrPMyUWVQKS4uNjPqySx97iOf3FWOS6gQDUbl5uaSnp7udV1eniQIqmCwibVVAlHCRhkbWeOXNikVSCRrcAlzmM6X5utDOJ6BHNQk02+HAjkHuOAEyNxd/n35x8v6NXDtufC5Z7KqUmFlxGGO2fPWrqnoG85A1Emn6ax64WIQQ5nHBr7lM7awgX3YlyM53gSqlFKqIWwRUsi7+rqFwVw46oEHHjCF02W2vrPPPpsXXnjBjM6S4NTq1atNPWkVnOo8z2X//v35/PPPva777rvv2G+//RqjXaqJ7UN/kxpemSzrjY4VUOFNgk+PcgUXMIz3eIr3eZqLGcG9nO8xvEJVmDkNtmysOj23XHjP+g02rNWtpcKXzCr+2Q/Qo6fn8sNHw0StiRNWEkjkdC7gBu5lDCdrIEop1ShskTU/gtmkSZO4//77Oe2008z3Q4cO5bzzzjMBqoMPPphvvvnG301U9VTnXfOee+7hxBNPNIXMTz31VFPEfO7cuWa2ujfffNPUklKB72yu4mNewYYVu9vFtXx9EeE7u2BtbNkAn70JG9dAt94w7iJo2drfrVKN6Wc+43NeMV+7ZxB+x3sMZRTHc75u8Ep2bq95k+zMgI7hOVeEUkaXrjD7H5g7CzZugL79oHdf3ThKKaUarix2L+P0Ks1WGUw2bdpEz549iYiIIDY2lj179rjWnXPOOZx55pm89NJLfm2j8lFm1LHHHsvHH3/MjBkzzGx2drudK6+8kk8++YQPPviAUaNG1bMpype6sg+v8wPt6ORalkY6zzKJQQzTN6MaM36E0T3hxYfh2w/hmbvhiO6weI5uslDyDW+b+mmVWbDyNW/5pU2Brn8NSbExsdCjty9bo1RgkiEUBwyHcWdoIEoppVQjktG+0dU8gnwksJQIyszMNF936dLFY6Ky//77z48tUw1Vr6S9cePGmYe8+Tt37iQ1NZVevXo1uDHKt4ZxOD+zipUsNdkfPelnCmqq6mc8uuksKCkuH3tdrrAAbj4Hfvyv+rHaKrhIcVmpn1aZZA5mUV4USXnovg8cOw5+mFwxLbfTZTdCUrJusFAis6/+yqfM5Gvz/cGcyEhO02OIUkop5Q+Je5lObydB67DDDuOPP/7g+OOP59JLL+Xmm29m+fLlREdH8+WXX3LWWWf5u4mqnhoUeZB0OXmo4GXFyj7083czgsKcabBnV9XltjJYvwqWL4Y+Wm4rJOzHYSxlbpWAVAQR7M/hfmtXoHv+PXi0Hbz/qiNIm9IMLr8ZrrnD3y1TjamYIm5lDAv51RxDxDQ+ZQpv8xjfEmVuwyqllFLKZyT7qWpSv0MQFy8XjzzyiEmAEddff70ZmfXZZ59RUFDAtddey7333uvvJqqmDEY9+OCDdfqlukOoUJS/l8kiC3QyyZBxBlfzBa+SQyZl5UdwCUTFkcTZ3ODv5gWs2Fh48Bm48zFH4LZlK4gK8tRwVdW3vM4ippmv3Qv6z+NnfuBtTuD/dLMppRpN9h6Y/CrM/QXik2DMOTByrGajK+UhIXSDUW3atDEPpxtuuME8VJgEoyZOnOjxfXFxsYlECikiVlhYaL6Oi4sjJiZGg1EqJO13MEREek7L7ZSQBH0G+aNVqimk0Za3mc1z3M5vfGVm1zuYY7mGx2jrVmdNVR+USm+nWydU/cJHXpdbytdpMEop1Vh2bIXzD4Ttm8BuA2sE/DoZxl4M97ymASmlXKJquLL3cu2iVNAEo9wr1s+fP99Mqyiz6kndqKSkJHJycsyUiw8//LApZK5UKGrRCi673VG8XGpDSd0oi9VxcnTDIxAX7+8WqsbUke5M4DNX5odzOJJS4U6G6UmAtjJZVoTj5pRS4ayQPKbwOnP42kx8cRCnMJoLiSLG300LOi/fCzs2O861nKURxJdvODKk9jvMr81TKrBqRoVQMKp///58+OGH7LvvvvTr1w9LDYV5Zd3ixYt92j7lp5pRV199NbfccgsXXniha5kEpC666CKTLXXVVVcxd+7cRmqeUoHlugehXWd4eyJsWgfdesElt8KY0/zdMtVUNAillKdhHMtKFlWpqSZ9ZTjH6eZSYS2fHG5lBGv52wRoLVj4i1+Yzoc8yk8akKqjnz6FMi9DjCRT/ZfPNRillEdmVHWlEYJwgqUhQ4aQkJDg+rqmYJQKo2CURB1lSkVvunXrxj///NMY7VIqIMnn4KkXOx5KKRWOTuEaUxtqB5tcASkrEbShEydxpb+bF5Qyd8IXL8C8HyEuEY44C0afAxHV1f9QAesb/sdalriyB53/LmUGP/E2Y7jMzy0MLt4CUU6lJb5siVIBLjq0glFvvfWW6+u3337br21RTafO4046d+7Myy+/bKrYu5PvX3zxRTp10noqSimlVKhKoQWvMpdTuZ7WdKQ1nczXLzObJJr7u3lBZ+cWuHgQvPMg/PMnzP8Zxl8A950Gtor68CpIzGASdrfC/u7XgjP53C9tCmYjjvMelJX6nbJOKVUuoXyonreHI8FIqeDPjHrsscdMragePXpw/PHH06pVKzIyMvjmm29Yv369mWZRBZZNLON7nmUdf9GSThzFlfRFB9krpZSqn+a04iommIdqmLcfhF1bKwJPzto4v0+GOT/AsGN1CwcT9xkm3ckt3MpDW9XeXfEgzJoK+TkVWVKSpT7sKDjoGN2CSnlkRskjREgJoLp48803m6wtKoCCUSeeeCLz5s0zQamvvvqKrVu3kp6eztChQ00gauDAgU3TUlUvS/iFRznGpInbKGUNC5nNJC7kOY7hGt2qSimllB9N/6yiKHPlmji/f6HBqGAzjLGsZ0mVoJSlfJ2qm0494aNF8M6TMPtHSEiG486DU6/QYaxKeZCJlGIa64rf/xYtWuTx/ebNm9m5cyepqamuZJjdu3fTsmVL2rdv77d2qoap164pAaePP/64gS+tmpoEoF7lMnMnzpkyLgEp8S43cTBnkUQLfSOUUk0uZw98/xLM/wFi4uGQM2DUuY4LbqXCWaWqB7VepwLTiVxnipVvY7UrICUz6nVlIKOp251+5dC2M9zxgm4NpeqdGWUP7mDUlClTuOKKK/jkk08YOXKka/mvv/7KxRdfzCOPPOKnVqqG0rnKQ9hmVrCd1V5rF5RRwl9M8Uu7lFLhJTMDrh0C794DS2fAop/hmYvg4ZNrLk6rVDg4ZKz3oKzUxDnoBH+0SDWE1E2byBzO4j66MIBuDOZ8HuEJfiNWC7copZpKCNeMuvXWW3nwwQc9AlHi8MMP5/777+eWW27xW9tUw9T5nrS86XsjUUoVCGoOgztneFEqnG1hOb/yAhv5mzS6MpLL6caB/m5WSPnkUdixoaIWjvPfOd/A7K/goJP92jyl/OqC++HP7yBrp2O4ntTDkYwoqRU1XAs0B21A6izuNQ+llPJ7ZlSQT4axcuVKMzzPG1m+evVqn7dJ+SkYlZycjEXOlNzs2bOHhQsX0qxZM/bbb79GappqqLb0Io3O7GR9lcBTBJEM5CjdyCqsLeVnnmGMq6baambxJ+9yIW8wggv93byQ8cck7zVxrBHw5xcajFLhrXUHePMv+OxZmDMF4hJh9Nlw7MVaE0cppVQthXAwqk+fPqZe9aGHHkpioqR6OeTk5Jjlsl6FSTDqyy+/9LpcCoqdcMIJnHHGGY3RLtUIrFi5lJd4jONN4Uy52LYSYWpIncVjJJOm27kRFebBtDdh0Q8QGQPDT4Nhp+nFRKCSWh5vc4nXmmofcBX7cQpxJPu5laHBmQnlfaUPG6JUgGrRBi4b73gopZRSdSZD8eKqWRcR3Nvz+eef5+ijjzaFymWonrOA+bRp0ygrKzM1pVSY14ySSvYynvPuu+9urF+pGsFAjuYx5pli5R3pxyDGcCdTOJ6bdPs2orxMuPMAeOs6WDQF5n8Nz54FT43TmjiBahNL2GWyBqtGSoopYCk/+aVdoWj4yY4sqMokW+oArYmjlFJKKdU4mVHVPYLY8OHDzVC9yy+/nKysLH7//Xfzr3wvyw866CB/N1HVU6POYySRyW3btjXmr1SNoDMDuZp3dFs2oa8nwOYVFTMfOf+d9yXMnQzDTtXNH2js1Fw5WzKmVOM44y6Y9SVkbi8frmdxTHM+4HAdohfodrKWmbzCdpbTgq4cxP/Rht7+bpZSSimlKmdGxYfulGWtW7c2Q/JUmAejpDZUZcXFxSxfvpwHHniAoUOHNlbblAoaMz+qvibO7M81GBWI2tOfFNqQxfYqY8UiiKYPo/zWtlDToi08vxC+ehbmfQcxCTDyLDj6Uu+ziKnAsJLpvMgx2CgxwVkrkfzO/7iISQxgrL+bp5RSSimnqPKHN9UtV8rP6nwZIAXKKxcwt5engRxwwAG89tprjdc6pYKETMHtjXSNshJft0bVhhTxP4cXeJFTsZhaahU11cYxnkRa6IZsRM1bwwWPOh4qOGqqvc8FlFFcqaaahQ+4kD4cTRSx/m6mUirMrVsAM96G3J3Q9UA4+AKIT/F3q5TyU2aUPLzxvHQPSjI079VXX+W///6jsLCwyvq///7bL+1SPg5GSaGwymJjY01BsXbt2jWwOUoFp/1PhKkvVs2OksLNg4/1V6vU3gzhZO5kJlN5mo0sphXdGMU19OcY3XgqrG1iIbtZ72WNnQIy+Y9p9NV+opTyo6kT4eMbwRrpON+a8wlMmQB3zYQWHfWtUWGmptpQQX5jfOrUqRx77LEcccQRzJ8/n2OOOYaCggJmzpxpYhAyy54Kk2BUly5dSE9PJyqqar5faWkpW7ZsoWNHPQKo8DL2dpg1CbJ3VASkLFboth8cfJa/W6dq0o0DuZJPdSMp5aaUogatVyoc5LCdBbzFLlaSSjeGcCHJpPu7WWEhYw18XD4Xj80tOz1rG3x0I1z9md+appR/hHAw6r777uP666/n8ccfNzGIhx56iMGDB7N+/XqOOuooDj/8cH83UdWTtT7BqEWLFnldt3jxYrNeqXCT2haeWAhjroM23aHDvnDGQ3DfrxCtI1mUUkGmA0OIo5nXdVJTrTuH+LxNSgWS9cxiAt35kbtYyLv8xD3m+7X87u+mhYX5nzlu+lUmgamFX0BJ1VE8SoU2GaKXWM2juuF7QUJqU0s2lNVqNeWC8vLyzPJOnTpx//338/DDD/u7icpXwShnfShvioqKiImJqW9blApqzdPh/Kfg+ZXw9BI4+U6IDfIPf6VUeJJ6UCfxlPlaaqo5/nWcMhzHQySQ6tf2hZPd6+Gnh+HL62DB+3qRHSg11T7hLErINzXVpJ6a/FtKIR9xps7G6gPF+VCphK2LDNkrDfJMEKXqnRlV3SOISUkgm81mAlEyQmv16tWudUlJSWzcuNGv7VNNPExvxYoVLFu2zPX99OnT2bRpk8dzpJDYRx99RNeuXWlq0p5rrrmGP//80+yA5513nomIRkdH7zWQJul9L774Ijt27GDgwIFMnDiRAw88sMnbrJRSSgWTYVxECm35hQlsZSkt6cZIrmcQ4/zdtLCx8CP48FzH15IFYnsOfnwQrvodktv4u3XhaxPz2MO6KsslIJXDFtYzky6aPdik+h4JXz1Qdbn0k06DIS6paV9fqYDNjPKm+lySRr/ebgoDBgzg33//5cgjj2TUqFE88sgjtGzZ0gzZu/vuu+nXr5/P26R8GIz65JNPeOABxye+RCRvv/12r89r1qwZb7/9Nk1pz549Zlxojx49mDx5Mps3b+bGG28kPz+f//3vfzX+rASiZMzpY489Rv/+/XnhhRcYPXo0f/31l0+CaE1tN6tYxqcUEEV3htCZkVhCYfoEpZRSfiGz5slD+V5OBnx8PtjL6xA6/929Br64Fs7XUnd+U0xujeuLyPFZW8JV9+EweCws+soxc7GwShKnBU5/0t+tU8oPpJxzVA3rfHS93RSkXtTatWvN148++ijHH388J5xwgvleCph/8cUXPm+T8mEwSnaACy64wGQWSdBGdspBgwZ5PEeipG3atDHBqqb08ssvk52dbXa61NRUV+H0K6+8kjvvvJO2bdt6/TnJ3Bo/fjw33XQTN9xwg1k2YsQIevbsyYQJE0y2VDCbw0R+5iYsRJLEYOZyO904inF8QSQ6dFIppZQKJosneRZmdpJJMpZMhqI8iNGh4H7Rnv2JJNYMy/NWU60DmnHf1ORy44pP4ceJ8NtrkLsLegyH4++Gbrr5VTiqKTPK5pvr7aYyZswY19ft2rVjwYIFrFq1ysyo16tXL79kaykf1oxKSUkxBcI6d+5sopKyQ8j37g8Zv9nUgSjxww8/mGkdnR1DnHbaaWYc6Y8//ljtz0mKoXQqea6T7Lgnn3wy33//PcFsG4v4mRtNDqadMpMmLtYwldno7SGlVGArzIIFr8Nvj8DKKWCr40mTUqHaL7wVaHZmSZXk+7pFyimWZEZxX/l3Fo9/D+NOEmihG8sHIqNgzK3w+Ep4YTdc/60GolQYa8SaUfW93m4KklAiw/TcX1diDpK1JSOdNBAVBplRu3fvNkPwpIK9jBnNza05Pdl9x21sMn71oosu8lgmbZNgmKyr6eeERE/d9e7dmw0bNpjIalxcnNei7PJwkoCWkM4oj0CwmHexEm1KZ2Kzgt1i/pWg1CLeZDh3+ruJKoxIv5AsykDpHyqwrf0VPjrZcWEtQywkEyR9EJwzBeIbcCjR/VD5W0P3wS4jwCbDjyoHpCzQshvEpWrg1p9GcAtJtOUPnmInK0mlKwdzA0O4wJQ0DwT6Oaj8LVD2QX+/vk9ElDke1a1zu451konHvE0+Vt/r7aYqXi7DBCUOocI0GJWWlsasWbMYOnSoKRa2twyosrJqOkIjkDGs0hkqa968uQma1fRz0tlkh678c/IhKeu9BaNkaJ+zXpY7KYAukdpAUEgUCciwSRvYLMRldXcUqrPaiSCODDL83UQVRuSAn5WVZfpVIB04ishkO3OwUUJLBpJIe383KeyVFMB3D0F8b8/imvlWmPoYHHRz6O2HKnw0dB+M7w79LoYtiytq4sjpl3w98nY5D2n8Nqu6acdozmC0x7IdBM4bo5+Dyt8CZR/MyQmHOm6SLFLdNnYkknTo0MFjqdRSvv/++xvterupyEimTz/91GRrqTAMRr355pt069bN9bUvhuMFijvuuMMUbHOSiLJ0ZAnQJScnEwja0YV/eNpxNSeZURbISVuIxWqhK0fSilb+bqIKI86pV6WPBEoQYAVv8QdXmUCUYyiFnd5cygj+55quXvne4vdh1wzv65YshGPuhtjk0NkPVXhpjH3wzInw08Mw+zUo2APtBsLo+6DPcY3eXBWC9HNQ+Vug7IOVkxFCk5zjFtewDjZu3Ohx/eotKyoQHXTQQaZW1XHHHWfKBbVu3bpKPEICVipEg1Hnn3++62spZO5PEpGVCLu3CG5NwwPl52S4nWQzuX8gyc/JzizrvakufVE+UAPlAqc/5zKbJ8hmk6NelMVu6kxYrHYO5m6serHtd2UlsHYK5G6B1oOhzX6OO9yhSvpUoPSRnSzmNy6tMq/tcl6hJQPYlyv81rZwl59RHhr0kj0vy0pyIL7qjbmg3A9VeGroPigFyo8b73jIKBPdlZWv90GlQmEfDI/9X7KfLDVmRkkgqjbJFPW93m4qF154ofl369atXms9yz7WlCOzlJ+DUYFEaj5VHqsqnUV2zsr1oCr/nPj3339NETQn+V0dO3b0OkQvWESTyPnM5GduZgWTzbJ09uNwHqM9w/zdvLC3/S/4fAzkba3YFB1GwklfQkxgJNeFtBW8gYUI7FJTzYOFpbyowSg/ajfUeyBKJLSCxHRft0ipwBUW11JKKaWaLDOqqa+3m4pMoKbCOBjVr1+/Wg/Nk+ctXryYpnLMMcfw6KOPkpmZ6RrLOmnSJBPxHj3ac9y+u+HDh5tIsDzXGYwqKSlh8uTJHtNFBisponkSH1JCEdvZRls6aEZUACgtgs+OhoKdnss3/Q4/Xw3HvuuvloWPPLa6Zpj0ZCePLX5okXLqNAI6joCNfzpmB3N32P0QEXS3S4JXCTls4UdsFNOGkcTRxt9NUkoppVSt5dWQGSXrmv56u6l06tTJ56+pfKNWp/pDhgwJmDpRl19+Oc8//zxjx441Y0eluv4tt9xilrdt29b1vFGjRrF+/XpWrVplvpeheVL/SYq0ybhlCbC9+OKL7Nq1i5tvbkCV3AATQRSRBMf433Cw5jvI3151uVx4L/8IRj0HsQ0YhqT2Lo3BrGVypUF6criOoBVDdRP6kRxWzv4Wpt4Ei9+FsmJIaguH3gv7/Z++Nb6ylo+YxSWUke94X4ikH3fTn3uxVHtiq5RSSqlQzIyq7fV2U5Jr9BYtWtT556TAuj+GEqomDEa9/fbbBAoZw/rLL79wzTXXmA6SlJTEJZdcwiOPPOLxPBk3WlrqOSzntttuM7M5TJgwwcyGN3DgQKZOnUrXrl19/FeocJGzyVUvuwp7KRTs0GBUU+vNJfzFBIrJwo4z/cZisqUGc0eTv76qmRQoP/E1GPMcFGVDfJoOR/KlPSxhBuc4ZmMtJ0Na/+Z+ktmHLpzh0/YopVRjyVkPGfMgtgWkHwLWCN22KpRJICqqhnWNf73dlLp06cJFF11kHv3796/xuXl5eXzxxRc8++yzpr133XWXz9qpGqZBgyAksLNz505atmzp08yp3r178/PPP9f4nOnTp1dZJm2U7Ch5KOULrQZ4D0SJ6CRI8pxhVTWBONIYyx/8zuVs5Q+zLJmuHMRE2nKIbvMAERXneCjfWsmrZkbJqkNZrfzLcxqMUkoF5aQxv10BK96sOAdL7ABHfwGthvi7dUo1lbzqLzrKM58b+3q7Kc2cOZN77rmHQYMG0a1bN1NyR4JSMsJJJheTIYRSS2rBggXmuTKcUBJPJHtLhXgw6scff+SBBx4wb77UXYqKijJD+e69916OOuqoxm+lUkGq/SHQZn/YvrBqTZz9b4bIcJhpNgCk0oex/E4+GZRRQCIddfiRUubUdb2X4v7CRi7rdBspJcENCtnJ76avtGAEUSTpdglgCx7yDESJvC3wzWg4bz1EJfqzdUo1leIaLu3rlhkVCKSkzpdffsmaNWt49913TabWJ598QlFRkes5MgnZQQcdxPvvv8/xxx9PZKQWGw02dZ6b5a233jJFzSQA9eSTT/LRRx+Zf+XNl0Lgb74pn/5KKSEJg+N+gO4nVNQUjEqAYffCsLt1G/laPK1IopMGopQql0JfUz+tMlnWnIqZZ5UKV5uZzPe0ZSZH8SfH8j2tWc0L/m6WqoatDP5+rmqCiNwQLNoNqz7VTadCOTMqt5pH3QqYBxIppyM1n//44w8KCgpMLSmpYSVfr1u3jg8++ICTTjpJA1FBqs7hwwcffJALLriAN954w2O5jCm98MILeeihh8zYTqWUQ1wLGDsZ8jIgPwNSukB0gm4dpZT/9eRyVvAsZRRVqhtlow+3+LVtau8KMmDXfIhJhZZDwVLnW4yqJlksYS6neQxjlezaxVxNAl1pwzG6AQNMSQ4UZ3lfZ42CbJ0hXoUsyX6KCJnMqJrqWanQUefTloyMDM44w3tB0zPPPNOsV0pVldAK0vbVQJRSKnAk0okj+JkkuruWxdKKg/mAdA73a9tU9ew2mH8zfNYOfj0WfhgGX/aE3X/pVmtMa3jJ6ywkkjm4imd0Yweg6GSITfO+zlYCzXv5ukVK+UreXh5KhUAw6sADD2ThwoVe18nyoUN1qnSllFIqWLRiOCeyguP5hzEs4BQ20YUz/d0sVYOlT8GypxyzsjrlroMfRzkyQ1TjyGOl15pqMjNrLv/pZg5Akh046FYvyyMgoR10PcUfrQptNorYzXR28YvJHFT+UlKeAeXtIeuUCoFheo8++qjJgCosLDRTJ7Zq1cpkQ8l0ilJcTGpI7d692/X81NTUxm6zUkoppRqRBQvN6KvbNAjY7Y5AVJXlZVC8B9Z+BD3/zx8tCz2J9GIH06sEpCQzKok+fmuXqtnAGx1D9f6aAGWFjmUtB8KRH+nEMY1tO5NZxqWU4Lj2iyCZXjxHO87X3dTnimvIMwmdYXoqzINRw4YNM//KbHpSP8rJLmdHYKZddFdWVmkKMaWUUqqWinbBnnkQ3Qyaa00cpbAVQeF27xvCGgk5q3QjNZauXMlaXq4yVE8yo3pwo27oAM6OOuAhGHgz7PobYltCam9/tyr0ZPMXiznVo2+Ukc1SLiCOzqRyqF/bF35kKJ632XFFxQx0SgV1MEpmy7PIFGFKKaVUU2Z/3A3/PQn28uzy+C5wwKfQfD/d7Cp8WWMgtg0Ubqu6zlYKST380arQlExvhvE1C7iIIhwbPIoU+vMMrRjl7+apvYhJgbYjdDM1lQ08jwWrl8zBSNbzjAajfE6yn6q7RtfMKBUiwSiZSU8ppQJVERvJYzHRtCGBIWb4kQo+a/4H/z7quaxgA8w4Eo5aA9E6mYoKU3I/sO/NsODmSssjIKoZdPE+x4yqJ5kx7xg2soe52CghlQOIIFa3pwp7+fxXTU21UvJYEfbbxz+ZUSUhG4zauXMnEyZMYN68eWzcuNGUCOrbty/PPvssBxxwgKlrrYKPTgKslAoJNopZyYUsoJMpxfw3+/MX/SjQIrNB6b8J3mvilGTBxvf90SKlAkefG6DvrWBxu6WY2BVG/wJRSf5sWWiyEkkLhpPGoRqIUqpcPD1NFlRlsiyBfXQ7+VzxXh7BSyZJ69GjBx9//DHt27dn9erVFBU5hh5u3ryZiRMn+ruJylfBqJKSEh577DGGDBliipcnJydXeSilaq9oG2yfDLt+dkw7rOpnA3eyg3c9ahcUsIKlHGnuZqvgmrZesqC8kYvvXK2Jo8Kc1MQZ8jicuhVGTYExc2Hsv5A6wN8tU0qFi45cjR2b18yoTlzvlzaFt/zy7ChvD1kXvG644QZTt3rlypW88cYbrlrVQrKiZs+e7df2KR8O07vyyivNrHknnHACRx99NNHR0Q14eaXCl3yOrrwN1j1tKj4a0a2h/yeQqjUf60SmEt7GiyY/qvKaYjawh29pwUmN9t6ppr/QjuvoPSAlU9kndtd3QCkhhZnbHaXbQinle8kMYgCfspRLKWWPWSbzTPbiWVI5TN8Sn5Psp4ogjafgvikrQ/MmT55MVFRUlcnR0tLSyMjI8FvblI+DUbIjSCqcBKWUUvW38QVY96TnsuIdsHAMjFgDMa1169ZWKTuwUVDN2ggK0VSaYNPzZlh8bdWaOJFJ0OEcf7Uq+BWwhEIWEUlbEhlppqhXSiml6qM1p5DGcexhprkh2IzhRBCvG9MvQjcYlZCQQHZ2ttd1GzZsoEWLFj5vk/LTML3ExES6du3aSC+vVPha7214sw1shbDlbT80KIhF0QorCdWsLSNOaxcEna5Xwz53giWqYplkSx38kxYvr48yclnLGFbSn42cz1qOZAXdKWRp471pSimlwo6VGFpwOC04QgNRfiXD8XKreci64HXUUUfx8MMPs2vXLtcyi8VCQUGBKWA+ZswYv7ZP+TAYddNNN/HCCy9USZFTStVNYXU1cSKgYI1uzbqwEks6V3uZ0jaSGLrQHD1IBeWMYY/AmK0w/Ac4bBYctQqa7+fvlgWnLVxLDj96LCthI2s4CnuQ3zFVSqm6KM2EjHdh64uQv0y3nQoVoVvA/PHHHzeZUVLE/LTTTjOBqLvvvps+ffqYAJUEqlSYDNO79tpr2bJlC926deOQQw6hWbNmHutl55AIpVKqZvHdIe/fqhm1MmNYQm/denXVgYcoJYvtvOYqwpVAf/ZhktfZXlRwiGkBbY72dyuCWxlZ7OG9iuJ0bmtK2Uw235PCiX5qnVJK+c7Oz2DVeWArKL9/ZYe086D7G56zUyoVfCT7qbqh98GdRNKuXTv++usvUyrop59+MnEICUKdffbZ3HjjjaSmpvq7iaqe6vyx+9FHHzFhwgQTdPrll1+qFDDXYJRStdP5Nlh6YaWF5TVx2p6nW7GurETRjZfowH3k8zdRtCGefliqZEspFV5KkcKepdWstVDCeh+3SKnAIzOA5fMtxSwmgvYkcipWdIboUFK4Bv470+26vPxm4I73IH5faHeLP1unVEMVh2wwSkgCzAMPPGAeKoyDUbfffjvjxo3j1VdfJTlZD9JK1Vfb8x0Fy1ffD7b8imyp/h9BlAb46y2aNuahlHKIor2pqWbzWjPCTiz76qZSYU0yBLcyihL+LT81LmMXN5LO98RykL+bpxpJxtvlAajKNZ7tsO1/GoxSwS6vhgo8lWebDn4zZ85k+fLljBgxgn322cffzVG+Ckbt3r2bSy+9VANRSjVCTZwut0CHKyBnEUQmQ2J/x3KllGosVuJoyfVk8Gilq7AIYulHAiN1Y4eYwqWw50Moy4LEQyDlJM/JAJSnHVxMiWvWVUcWoZ1ctnEindiMhRjdZCGgeIvjHMvbfGPF2/3QIKUaVUnIBqPOOussYmJieOutt8z3L7/8MldeeaX5WpZ/++23jBo1ys+tVD4pYC7V6mfNmlWvF1NKVRWZCM1HQNIADUQppZpGax4gjVuwEOtalsSRdGGKDmUNMTuehn/3hYwnYNcrsP50WHmgIzClqiplKwVM9TKMxYaNXeTzvW62EJEw0FGXsworJPT3Q4OUavRgVHXFy4N7opIZM2ZwzDHHuL4fP348l1xyiSlqLiO2dOheGGVGXXzxxSYSmZ+fzxFHHFGlgLkYPHhwY7VPKaWUUg1kIYJ0HqcVd1LESiLNcNb2ul1DMCNqy03l37iVCStYDNvuhXY6v0wVNnbXuE3L2NnI75Lyl7RzYdPDUCJvqXtQygbt79H3pSZlbKCAVyhhCRF0JI7/IwqN4AWSCAqrvblkxx7UVaN27NhBenq6+Xrp0qVs3LiR6667jsTERM4//3xOPfVUfzdR+SoYdfTRjmmNHnvsMfOQguVOdrvdfF9WFsy7u1JKKRWaIkghnv383QzVRGRonjmzq1yvvgx2v6PBKG8i6YaFZOxke10fw9AmeKeUP0SmwL5/wOpLIfs3x7LodtDpcUg9Xt+T6hQziz0cARSVR/EiKeBFknmfOM7SDRcgrJSGbDCqRYsWrF+/3tSHmjJliglM9e3b16yTuIPNFtzDEMNZnYNR06ZNq3H9mjVrGtIepZRSqkYyzCLnbch5C8p2Q9xh0OxmiOqqG06FtzKJp1RTd9CWIzcNdTh4ZVZiac7d7ObWKmviOY4YBjTNm6X8Iq4H7DsdirdBWS7EdgFLdROQKRPEyOYiybt0qzvkiHZncykxHI+VJN1SASCWsmrnj7YH+UA9GaJ32223sXjxYt5++23OPfdc17p//vmHLl26+LV9yofBqEMPPbTKsp07d/LJJ5/w4YcfMnv2bC68sPJ89UoppVTDycV0xnmQ+2F51UMblKyEnPeh3Z8QoxPDqTAmxcp3/c/LighIOFgDUdVJ4WZTTy2TRyljGxbiSeJSUhnfpO+X8p9onXS3VspYYR7e5VPMVGIZ15hvjaqnqJAtXw4TJkwwGVCSFSX1q91rRH3xxReukVsqDIJRTlIzSt58CUD9/PPPlJaWMnDgQCZOnNi4LVRKKTd2cijhQUqQGTWysXIw0TxEhE6/HRYKZ5YHovC8SWvPh923Q/q3fmycUn6WMhbihkDBX241cSTrwwJtHvZz4wKYDG1J4RqSucrUkLKSjIVofzdLKb+zm6F59V+vfCdxL8GomqvjBbaUlBTefPPNaoubqzAJRjkjkhKA+vrrr01Aqk2bNiYQ9dFHH3Haaac1XUuVCkO2HWDLhIjOOi23sFNKIaOxMc91pWXjdwo5jFh+JYIRfn7HVFPL/7b6mjj5PziG8OmQCxWuLFHQ7RfYdh/sfhtsuZAwAto8BIkH+7t1gc+ClQha+rsZSgWMSPbFSmtsbPeyNoJoDvdDq5Q3cmpU3YjTYK4XpUJbrYJRM2fONAGoSZMmmSF5UkTsnHPO4ayzzmLfffc130tQSinVOMo2Q/ZlUCwzSkuNjzRIfADirwjvLVzGd9iYXWWp3Asq5i7i+N1PLVM+U1NtD7klWF3BBKXCREQKtHvG8VBKqYawEEkSz5LFmeUHWcc5l9wKTOAuM0+rCgzRIR6M+v3333n11Vf577//KCyUGmae/v77b7+0SzVMddl8HqRy/csvv0z//v359ttv2bp1Ky+99JJZbrXW6lc0qm+++YYBAwYQGxtLz549eestGa5Ts3Xr1pmZ/io/DjzwQJ+0WanashfDnpFQPKW84qD8swNyroSCve/qIa2MaeWj4iuzYWMG9qAfFa/2JuEkL1lRzpo4J4LF94ekgGO3F2OzTcFW9il2+2Z/N0cppVQQi+V0mvML0RyJlXQiOYBkPiSB+/3dNOUmoXyonreHrAtmU6dO5fDDDzdJMfPnz6dDhw60bNmSf//9l7y8PPbbT2cJDunMqH79+rFkyRJ+++03IiIizI5w0kknkZTk+9kTZFyovPYll1zCM888w6+//srFF19s2jJu3N4L6D366KOMHDnS9b0//galalL0JZSt9L4u9yGIvSB8i9DK9NvVl2GM07SYMBC7HyRfDdn/K78FKLf7IsDaHFo87u/W+Z/N9itlpafL1CKOBWVWLNZriYh4CotG6pRSStVDNCPNQwV2ZlR1F/bBfp/uvvvu4/rrr+fxxx8nKiqKhx56iMGDB7N+/XqOOuooE6hSIRyMkmkUly1bxvvvv8/HH3/MBRdcwBVXXMGxxx7LcccdZzKMfEV2vgMOOMBkagkJLK1evZp77723VsGoHj16aDaUCmgli8qTf7zMwWpbC/Y8sMhtjjAUyZmU8JCXNRFEcp4pQqtCX8vnIH4UZL8Dtl0QdxgkXwmRYT5a3G7fSlnpcRLSdltqw257BpulCxER1/qxdUopFdhkIozST8D2F1jaQeS5YNVRaCpIJFQzdgDvlxRBZfny5TzyyCNmRJbEHSQbSnTq1In777/fPKSEkAo+tQ6U9unTx2QVrVmzhj/++MMEpCRTSv4Vzz77rBnL2ZSKioqYNm0ap556qsfyM844w+ykMhRPqWAX0a6aYUiS95MEFkkAClNWehPN026xdEc83WKWP+LXtinfkfsfCWMh/Qto9zukPqiBKGGzvV0eiKqaPWgr0wJCSilVHds6KOgFxRdB6UtQcgcUdIFSqd2pVJBkRtX0CGZSmsdms5lAVHp6uklEcR/ltHHjRr+2T9VfvbL2DjroIF544QW2bNliakhJIfOffvrJZCl17dqVpiI7XklJCb169fJY3rt3b/PvihUr9vo7JKNLhhq2atWKSy+9lN27g3miSxWKYqVGZKyXEWdWiPs/nSksihuIYwlR3EQklxDDB8QxHwupfnrHlAoQ9nU1lC/VEzWl7PYS7MUvY887CHtuf+yFt2C3bdENoyi6GOxb3NJIJKZfDEWngz1XN5AKfIl7efiSxAakjE5ZWRlPPPEEhxxyiKnxlJqaauIFkthSF1IrWupDiVGjRpksKYlBSC2pu+++25QUUiE8TK86EtQZM2aMeRQUFPDll1/y0Ucf0VT27Nlj/m3WrJnH8ubNm5t/awosxcTEmECUjCuVn58zZ47ZkaUI2ty5c8340+qyseThlJ2dbf6V6Kw8Ao20yW63B2TbVC01h+QvIfs0sOeUB6XsEH0cxD8g73Fgb0nf7IN9iORR13dS512Llyvf74eBxWbvU/73Vr7PJB8ivcJqWwSCQN0H7TY77JLbyWCJDZ+hzXa7DQpOcUt1sUPpCih6DxJmYbF2ItQE6j4YaGzboXR6+TeVPz7zoeRbiDzNDw0LAYGyD/r79X0hKkAyoEpLS5kyZQpvvPGGiQ+MHz/ejKS67bbbTOxAZsSTgNSPP/5Y61pPUi9q7dq15msZqXX88cdzwgknmO/bt2/PF1980aR/kwrQYJS7uLg4zjzzTPOoi6ysLDM73940NONKUvpefPFF1/eHHnooffv2NTWvZAc+7TTvRxnpQA888ECV5Tt27PA6raS/yYetbFP54PfHTIeqkfQH+19QPAfIgQhJBuwOOyQ4JY8ApvugCgThuB/a7cdSVvqV4+qp0lA9a8QNWK0ZfmtbOAq0fVDaYZ9ix/ZxGci9vUiwjLJivciKJS70g1L20nlQvA0YXGmNFTJfxRJzHaEm0PbBQGXbDMVDql8fmQ+R+vEZ1PtgTk6Anzw3Us2o6oJR1dWSagozZ84kPz+fI4880sQHpMSPM3FEyPJ9992XiRMn1joYJYkvTu3atWPBggWsWrXKBLtkxFR0dCCE4ZRfg1H1NWnSJDNcbm+kJpRzR5YPNW8ZU5L6VxeyYyckJJgdurpg1B133MGNN97okRkl00mmpaWRnCwzewUW53haaZ+eeISAjgQd3QdVIAjP/bAVdtvTlJaeBywtX5aENeJ+IiJkhj0Vzvtg2Ytl2K6T6SfdzAfLnxYifoz06WQ0/mAv+A5KFldTlPFfLMmhV3cw0PbBQGVvDvkb5E6z9/VxQ8HaivBgy4GiKdJhIPowiOwYEvug1BwK58woGUHQEHs7Pkiw0UmGzx122GEkJjoGB7oHooRkR/Xv398EkxrSHpmUTAU/vwejLrnkEvOoDRkuJ8PppDaUDLdzctaKqlxLqjHI8D55VCYfqIF6YJcOGsjtU6FP90EVCMJyP7QOxBqxGOzLsJONxTIAiyXe360KW4GyD9pL7PCAHautUjskge5XsMyxYB0e2v3ELn+eVf5g78N1LCH6OREo+2BAi4HYh6D4/ypKIxgWiDgNIvclPBRMgqwLHNMKGhaIvw6Sn3bMHBLE+2A47P/RTRiMmjVrlsloOv30013X7a+//joffvghv/76q8dzv/nmG66++uoah/HNnj2bESNG1KkNUjPq888/Z9OmTVVGJ8k+JsMCVfDxezCqLiQoJGNMP/vsM667riKd+pNPPjFFzDt37lyn3yeRW5kacv/992+C1iqllPI1+xYbvFSMfV4J9gFF2MeUwqHhlb5t7mBa+laZA0GFsU3AzmrWWcE+1w7DCW1RJ0HJK15WREKU5yzNKvxEXQqWRCh+COzLgZYQdRVE3UV4KP0XMs+sFKy1Q/4zENUb4iVSpwJ9mF7sXi74nbWP95Z0UdmBBx5oMpqkPpN8LaQulAT5nN87JxuToJGUwamOFDTfvHkzN9xwA7X13nvvceGFF5oMt06dOlUZlhfqmb2hLKiCUeKee+4xqX9XXnmlGVo3bdo0E5WVgJS7yMhIzj//fFeU9KabbnJ1GClgLkXLpR7Ufvvtx9ixY/301yilaiRpv7bdIJkd1jjdWKrm3eWfMhiR56irJsWKM8tgQj72x+xYbtn7yZZSIUtGSVirSQqygSWN0BcxGiJPh9JP3DaGFSytIeY+f7dOBYDIMx0POXxYQj+RxlP+G5XSwpwskPe8BqOCPDPK+dEvpWbc3Xfffdx///1VhtzJLHjugR4JRNWGZEVJPajqEkR++ukn85r33nsvQ4bUUKitkoceeohx48bx5ptvEh+v2d6hJOg+ag8++GAmT57MjBkzzFA9CURJmuCpp3re1ZJO5N6R+vTpY9IIL7roIo4++mheeeUVM+XkL7/8YgJXSqkAk/sZbOgJa1vCmmTYdhaUagVRVYOrCh2BqLJKZ1+3F2FfH/oz6ShVHUszC5ZTZMyRl7PAZLCMDbrTwTozd87jPoC49x2BqYiDHUGohL+wWNv5u3kqgIRdIEqUbawmWm2HMkmtVMGQGZVYzUPWiY0bN5ray86H1Eau7LfffjNlcZyPUaNG1boNEoyqLitq4cKFnHLKKZx11lkmGFUXW7ZsMTWmNRAVeoIyCiNTOTqnc6xNITUhgSd5KBX0ZN+eVgxzS6ClFcbFQrMQO3PK/RK2SYDZmXZbCrmfQtFf0PEvsITXsCu1d/bddvi9rJqVwFclcK1mR6nwFfFCJKX/lsDf5Wd/0l3iIeLLSCwJ4THEwWKJgKizHQ+lVIWo/lD4qZctYoXI/rqlgjwzynl2JJNv7W0CLslYmjdvnuv7pKSkWr2+DAH8448/ePDBB6usk2LlxxxzDMOHDzdJJHV1yCGH8M8//9QpMKaCQ1AGo5QKW9k2GLMHZpY47nDLTazrsuHz5nB0CF1o777PS7p4GZQsdwSqkrzPfqnCWGkN5TllVyrxZWOUCjyWNAuRC6OwT7VjX2jHkg6WcVYsKeERiFJK1SDuYsh9Auzu6cXCBolVs2dU4JHBa9UNYKvLp7wEn6SMTV2Lwk+dOpWUlBSGDRvmsXzr1q2MHj2ajh07mrrPkm1VG7t373Z9/eijj3LOOeeYmlFSSF1K7lSWmppaq9+rAosGo5QKJjfnwOzyq2rnuUIBcPIe2NQKUkMgQ8peAsVy696bKCiao8EoVVWaBQZYYYmt6kgD+f6YEDvc5S+E7Y9C7u8Q2RJaXAxp14Kldid5KjxZIixYxlhgjL9bopQKKBGtoMU0yLwQSv9yLLO2huSnIPZof7dONTAzqrRUkDbUAAAsxElEQVQJtqAEf2QiMCmfc8QRR5ghepL95B6kKigoMMt27tzJs88+a7KbnKRw+qBBg6r9/S1btvQoTC6jnq644opqi5W7l+dRwSPEzs6VCmFFdni3wPOGlZCEEJnh9NNCuDwUivpFgiWp/O5cZTaICIdKu6qu5OTE/mwsHJlfUZvYeb5yZRSWPrUrvhkUcmfC6pGOIbtyilm2A7bcAnkzofPnDZqCWymllLfPXRv8lA/Fdjg8HtJC6JjiFDUQ0hZB6WqwF0BkL7DopWKw8HUwSmpDTZw40dSBmjlzJj/88AMvvPCCx3O2b9/O4sWLzdeVS+zIrHjr1q2r9vdLsXKdJS/06SeMUsEi1w5F1ayTc6KMECnQLBfSyZdA1rNeimlaIFFrfahqdp1DI7HPTYAnihwZhD2tcEUsnB9CQ1iFBJ7sZVWn4M76whGQSjzYj41TSqkQ82EO/F8G5Nkrrp4eSIU7Q3RYUGQ3f7dA1UOCW6HyyhrjFlVmZqbH9zJj3urVq83Xf/75pymILpOLVX5O5TrOtXXBBRc0oLUqWGgwSqlgkWqBjlbYYPN+y2O/EBqe0+IhKF4EBdPLI23yN0dC6/cgynNaWqXcWQZGwIfxWGw2LBkFWFpFh9adNVsB5M+qZmUk5EzVYJRSeUtg0xOQPROiW0HrS6H1hWE6TZpqkMVFcM52zxKWcs51127YJxpOkbnKlArszKimLpsphcmLi4sb/fcuW7aMl19+mbVr19KuXTvGjRtnhgSq0KHBKKWChVxQP5AIF2Z7LpdYzYBIOCqEZpizJkDbXx3BqMIZYG0OiadBZCt/t0wpP4sof3irjWAHS6wf2qRCQnYZTM2CIhuMTIZ2QXpMyZ4FS2QYq/SRUihaDzlzIGcW9Kj7LE4qzL2S5fjIrTzOSeKaz2VqMEoFDMmKCqXQ6IwZM8zseaWlpaSlpTFlyhRee+01MxTw8ssv93fzVCPRW0RKBZML4uENuUiwVoSTz4yFn1IhIoSyP5zBt/iRkHoPNLtaA1FKCWs0pIwtD0hVVgbNTtXtpOruo12QvghOWwXnroGOf8FdG8vrkgWZtTc6JsJwRQ/Ks4m3vwG55YWZlaqtdaXeC+7IbrW2KSrxKNWwzKjqHsHmvvvuo3fv3qau1LZt29i1axdjx47l7rvv9nfTVCPSYJRSweaieNiQBlvSILMVvNcsNGbRU0rVTrunIapNeRUIS0WSc/qjENtTt6Kqm6X5cM5qyHcbAi5fProV3t8VXFuzNAtyZnupNygiYM93fmiUCmp9o73H/mVZv2C8xAd2/AozD4fvkuDnLrDyCbA19UAu1dTi3epGVX4E4/RGS5Ys4d5776VDB0d5juTkZJ566il2797Nxo0b/d081Uh0mJ5SwchqgfQQnMlFqaa0Ig8+zYACGxzRHA5vHpwzz0V3hH3+gd1vQt6fENkCUs+HhOH+bpkKRq/uqJiBssowpO1wbkuChmUvx0VLCNVWVL5xRQr8L8uRJejeR+TrW5oF37uw7RuYe2J5By+D/FxYfjtkLYT9PvZ361QD1JQBFYxh0507d9K+fXuPZc7AlKxzfq2C2/+3dx/gUVXpH8e/IY0QIKETWujFSEcRWJbeBJQusCoCgvq3rLrq6uKyoAgqoqK4iwqo7KoUQQXpKCoIIk1QCCiCEDBAKAk1QJL5P+dOJnUSCCTT8vs8z4XMncncm5lz23vf854i7l4BEREuxEL8T5B0QR+GFIwXf4cGG+G5/fDKQej8I/Tcbq+P440CwqH841DjE6j6tgJRcu1iLjkvQWY2jQM5DeHqofyLQ3jXnLuxlunnhpUSr1YzEFZUghoZ7t+XNwNlVID2XpZvYgJqO59IfZBxo7fBH3MhfoubVkzyQ2AuXfS8NQzvUwPQiFPKjBIR97lwBL4fAbHL7I8DisMNT0PUP7wzY0U808YEeGZfhvPv1Do4y0/ClIPwj+ruXDsR97oxBBadyh6QsgbH8LKLbaPmVNjRxt5lz/qjUgv+V3sOQmq7e+3EG/05BH6NhJ8vwSUbNAqGQC88R7l4DM79ksOT/hD3JYQ3d/FKSX4plmKfnEny0vtuHTp0oEiR7Lkzbdu2zTTfBK0SEsw+X7yNglEiviIxGabth9kxcDYZupWDp2pDDdNb3AOlJMNXneH0nvR5SWdhx7PgHwwNHHfvRK7T7CMQ4AdJWYoxm4cz/1AwSgq30eXhtSP2mlFZuyH9PQKvU6w+NPsZYqfDmfUQWAEqjIDwju5eM/Fm5gZZw2C8mr8ZbdUE0ZwNTJACAR56vihXpUiSfcrpOW8sYC6+T8EoEV9gbnn03AhfH0+/mJhxEOb+ARvbQh0PHOw1djkk7HT+3M4Xod6jUES7KMkHp5JyHhXMPOfJTu+Hvf+DxDgo3xJqDLAHa0XyS5Ug+LI+DN8HuxLt8yoEwGuR0DnMOz/noAiIHO/utRDxLIFhUL47xK0EW3L2emsR/d21ZpIPAhIhICjn57yNglGFg2pGifiCRUfgqwyBKMNkgZxOgvEZMo88iakRlVOx2UsnIPGYq9dIfFXrsBwH16KtBxeg/fV/MK82bB0P0dNhzZ2woDGcP+ruNRNfc3Nx+Lkh7G4I22+EQ01hSBl3r5WId9hxCuYfhK0nc77x4SkavgXBFewZUuYczM/c9PODRtOhqBmlVbyVXxL4Xc5h8vD7blJ4Ke1AxBcsO+a8G1KyDRZ56IVrsSrZ78w5FCkKQaVcvUbiq4ZVtNeGiklMr4tTJHVUyn96aL2o87HwzXCwpUbRHNvK6b3w/WPQ8SO3rp74aDekeiF4ncRTcDEBSlRRNq241omLMHAdrMlw86xlGfi0LUR46LYUWgM67IKY2RC/yR6YqjYcStzg7jWT63U2tRdmTs+JeCBlRon4gsBcNmVPLbJZtR8Elc6+GzJ36moNhwAPPZET71MiAL5rDndUSN8eWoXBmqbQoiQead+89EBURiYotW++Rp4UOXcEFvWB/5SFWTXg3Srw07v6XMR17twA38ZlnrflJPRf5/nd9Wo+DM1mQ9RkBaJ8xeUrTCIeSMEoEV/QPyJ7VpTh7weDK+ORAopB+2UQXDbz/Ihu0HSyu9ZKfFWlYPgwCi60h4vtYV1zaOPBXfQuJYBfDodoWxIke2EBCPFOH+6Fhp9A0EyoNQem7YQUN3dFSr4M89vDvi9SK62bbMKjsHo07Jrt3nWTwmHfWVgea89Az8ici204DttPuWvNpLAyAadLOUwKRomHUjc9EV/QsSyMqAazDtoDUObkyCSARIbAv+rhscreDH1iIHYFJB6FMi2gVBN3r5X4MrN9mMnTVfyzPeiUjR+E1YUgDw6kie94/Sd47Pv0Abj2nYGH18P+MzDlFvet12+fw6kc6iF+Px4a3GXvdihSUH4/e+VgVWM3lhtISYItb8P29+DCSYhsD63/DmU9+JxQrk9uTVLd9MRDKRgl4gvMSfeMxtC7Anx8GM4kQaeycG8khAXi0fyDoEpvd6+FFGY/HYep2+DHY1AzDP6vMbSv6t51imgHlTpB7JoM3fVMppQNbn5RF9pS8M4nwdgt9p+zJkK9/jP8rSFUctNQ8Me2QJFASHFyuz9hH1w+B0EeOIqs+I66JdODtM40cONIlKaI+sIhEL3AMQNOx8CuuXDPd1BRN/18OjMqp+dEPJCCUSK+FJDqE2GfPM35U7DxbfhlOQSFQuMh0GQIFMlhND0RV1l5AHp+Zj9ZN90rtsfB/F9hWgd4sIl7t+dui2DLeNjzLlw8BWWbQvPxUK2n+9ZLCo/tJ+BMDlcwppved0dhYE3cIjQCUnIYACMwVDUHpeBVKQYDq8GCmMxd9UzmbecKUN+N9QgPfgvRn2TPlDJBqi+fhr8sd9eaSUE6m0tw9Jw+evFMCkaJFAa7j8Obm2BLLESGwf3NoYOLRhE7ewym3QLxB+wZHqYOzu6lsPMz+Ms8KKLSdeIm5oJ69CpITkk/gXPUXnv8GxhSH0oXdW9dtZYv2SdzEaFuR+JKJa+QVVvCjVm39YfC2r9D8sXMV1/m+NJwtG50iGvMvNmesDr3oL0Zmkyp3pXgPTd2YTV+XWofWdIEoLINgLHSHsjVzUDfo8wo8UIKRon4um8OQLcP7XfuklJg8x8wbxe83hX+2rLgl//lBEg4mGGI+tT/f14Au5fADeqiJ26y6wQcOOP8uUsp9qypwS6or3HqEHw5BaJXQHBxuPlu+NNoCAhKf40CUeJqN5SCG8JhT0LmzA9z8V0qGDpWct93ElIWbvsUvhhg75JnglDm2FKtC7Se4L71ksKleCB83AZeaQq/nYXqoVDNTV1XM/LPJVBsglA6nvhuZpSTQXgt5128LiJXScEoEV9msinuWwKXU9JHP3JcVDyxGobcCOUL+MRpxzzn3SnMXbufFyoYJe7j5gHBLMf3w8s3wYX41O3EDw5shp1L4YHFunst7mMuWD/sCB2/gIRLUMTPfqETVATmdoIgf9cey86egKAQCE49ZlXvDqNjYe+nkHgCIlpDxZt1oS2uV7mYfcooJh7Gr4bPdtozpgY0grGdIMIF3ffq94d1L2Sf7+cP9fvlPFKreDdlRokXUjBKxJftPQl7Tjh/zmRJLd8Ldzcu2HVIK76c7YlcnhNxgagyUK0ExJzJHpgyF9xdqhX8OnwxNkMgykhdkV3L4Ocl0Oi2gl8HkZw0KQN774APfoXoeKheHO6pm164PPEyrN9n/7l1TShaAF33ti2CuU/BkT32i+hmfeHOqVCqMgSVgBvu1vcnnuXIGbh5Ghw/Zz/XMt79AZZEw7a/QpkCvgkY0RRaPQEbXrEHoEz3PLPthJaDTi8V7LLFvcGonK7sVcBcPJSCUSKFOfPDFbGgqD6w+b3stQvMxXcDddETNzKZHtM7wW2fp9eLMsVnTfbg5D9DmZCCX4efFuWSOfiFglHifqZu2mMNs8+fsxn+by6cumB/HB4C0wbBX27Kv2X/tAKm9kl/bG5gbPsMDm6FCT9DcJZsFBFP8Po6iDubuXurqU14+DS8tQHGds6/ZaWkwI8rIPpbKBYOfxoC5apBp5eheifYMRsunIRqbaH5fVCsbP4tWzyLKVKew7gOJLp4XUSukoJRIr6sTmmoVQr2ncoemDIX3d1r5f8yT5+EowegRDEILQmd/gm7FsG54/a7c1a+OlC7oz1QJeJOPWrApqHw+jb4MQ5qlISHmkCnanDmAryxCuZvsl9U9G0Gj3aF0vk4ZHxuRWTVlUI81Q+/w9AP7N3nHOIvwF0fQM0y0CqfRtn7bLy9213GLFoTvI3bDxvnwJ9H5M9yRPLTsj2ZA1EOplzCyl/yLxh14QxM6A571oN/gH17/OgfcP870Gkk1O5un6RwuJRa0y+n50Q8kIJRIr7MnMT/uwf0nGN/bNLFHZkfEzpAxeKweS8s2AiXk6Bnc2gfdW01N84lwJsPwNpPoEoTOLITej8IwyfCX7fC2tdgzzIILAbN7oSW99lPnkTcrUl5eL9b5nnnLkLbifDTofR6a9GH4ePvYePY6wtImTvZjlEkmw6EDTOzZ0eZTMIm/a59GSIF6Y2v7ccSx+iTDv5F4I1v8i8Y9ftm5925zbFj3w8KRolnKhFkv+9mc5KNG5phYIrrNWcs/LrR/nNyhuzz6aMhqj1ULIAbjuLZmVFZOiGkMQOPinggXQmK+LqutWDTSHhtI2yNhcgweKAF3FobHn0Ppi6BAHNh7AdTFkO/ljD3cQjIY3HaCQNg+5r0O+WXEmHBK/aL7NFToOdk+yTiDWZ8AzsOZc78MEHc/XH2bKlxffP2fkmX4b+TYME0iI+DavXhnmeh5zh7faj4w/aLbseoYC2GQv0u+f5nieSL3UfTa+FkZOZFH7m+QO3FRCgaYr8pEloaTh/N/jqzXZYsf+3LESlIf2kK6w9kn29ubJjnzl6A+WvhwFGIioTbW0FQHuutmW3gq1nOu3mbbWfthzBw7LX/DeJ9TPZTTveSlRklHsrrhlNYtWoVQ4cOpVatWvj5+fHQQw9d9e8mJCQwcuRISpcuTYkSJRgwYACxsbEFur4iHqFJRfjgdvjpfvhiCPSsA0u32gNRjguIpNQTmk83wjur8vb+e7fBttXZT4rMydLit+xZUyLeZNG2zIGojAGpT7fk/f0mDodZ4+yBKCNmDzx3J6z5HJ75EXo9B3XaQVRPGP4xDPuvRgUTz1W/QupNjCzMPPPcwSMwbibc/TxM+i8cPZn7+5kA1GtPwZ/CoVUo9KoFiz6A9qOdd1c122YbFS4XD3XvzdCjXvo24dhW+t0I9UIh8m4Y8Sq8MAcGTYR698LvVwjimjYfvR3WroS4I/bHF047f63ZZs7kMHiN+HZm1NkcJvOciAfyusyo5cuXs337dtq1a8fJk1c4ucnijjvuYOfOnUyfPp2iRYsyZswYevTowebNmwkI8LqPQuT6/Pcbe5cKU1Qzq1lfwfD2sGAF/Po71KoGA7pDsRBINBlP/4NVi+1dJbr3gRK53HK5fBH+2At1musbE+9htg2rVo2TgJTpavHuQpgyG/YdhtpV4clhcM9t9t85cQK+/cq+fXTsAsdjYOWHmd/D8b7vmuyoEdB9jH0S8QYPt4ePnARlzfGkZRmoOyT9Bodp6hNnw+rXoWUUJCXBzp0QHAz16tm3mScHwbol9swo4/B+GHsPPPMmNOwOO5ba66uZ7cZcaI+YARVqu/ZvFrlagf6w6B5YHA2LdtmzVfreCF1rQ417ICE1MuDYRmLi4K7JsHYKXLgAW3ZA0WBo1sjepfvgPnhoAOzaZn+92RYGj4JaLWDf1uxdWZMvQ/02+r4Km9yyn5QZJR7K6yIwkydPZsqUKdbPX3311VX/3oYNG1ixYoU1de3a1ZpXr149GjRowMKFCxk0aFCBrbOIRzp1znkgylw4HD0CNTvCkTgIDLDXk3riRVj6Dvzrftj6vf0CwkxLF0LrZrksyA9KRxTkXyKS/wbcBKt3Og9ElT4Lo59PD1bt/h1GjIMjxyHkJDw3Bi6njqNcrBiMHpLzchJOQMyvUDNK36J4j5bV4aNh8MBce+FyI6woTO0Pf5sAl5IyB3IvXIQ7n4fn+8Bjj8GR1CyQBg1g3N/h28XOlzP9OVhxCA5sguivIaQk3DQQwiu64I8Uuc4bGn2i7JPDyi3wh5OMJXMutm4nTHgTJr8Bp00qC1C9Krz3Koy7G2Jj0l9vstA/fhsGDQS2pHfvdgSqqjSAm/PYlVy83+VcuumlnpKIeBqvC0YVcRR9zaNly5YRHh5Oly7pNThMMKpJkyYsXbpUwSgpfP58A6zekV6c2cEUpT37C5yJtz82gSjjZAIMGACX99kfmwsNx8XG+q3QphycP5n5AsScFN3cE8pUcsmfJJJvhrWBjzbAN3tSu8ultusbK8La1fafHW3d8f/zL4P/L5nf5/x5eH8mROayrOJh+uLE+wxuAX0aw/p99s2jTU34ZiucSHB+sb33Zxg6L/MxYs8eeHQUVMghC/FUHBw5CHXa2CcRb3Y8h251lgT458TMsw4ehn79ofSx7C8328uiJTDjU5g/Dn7/EQKDoe1f4K6XISCPNajE+53LJQNKwSjxUF4XjLpWu3fvtoJPps5URiYzyjwnUujc1wXeWg7HEtIzpMydvKDLEO/szl0ynI2BQCfZVCZIXKQulDsMxw6mz6/bAh6bWYB/hEgBCQ6EFU/A7O9gwWb7NnJ7M6hUBPovd/47tj/s24Kjq5HDOX/7fFuWbBF/f2j4JyhfRV+jeKeigdAxtTaOcS4xlxcfzt711SpYnuHGRlbm9SXC8299Rdzppro5P+d33J7hlPH4Yf2cmHOX8QvnoGpTeGUbXLwAAUH244oUTiYQlcOuVMEo8VSFJhh16tQpKzMqq1KlSuVae+rixYvW5HD6tP2uRkpKijV5GrNONpvNI9dNPIwZmn7DC/DMh7Bwo/1iu3sT6F0fHnjG+e+YLko5ZSemBMOMX0jZtgrbkWOk1KwNDVrZT6LUHsUb94Wm7sfIP9snh7Vbc94GAlJvPWZ93hQ9D20Il3ZD0iV7xqAZXc9kDD49Q9uHjyqUx+M2DSEoIL0WTkZ+ifYLpazbhzmt8jdZHMlZMmsDoFUXCCutbeQaFco26MlqRcDQ9jDv2+xZ6SEmuORk+0gKTC+LkFVIMQgvY98+TFaU4WHftae0QXcv32WZUTld2ad2chDxNG4PRpkR7q5mRLuaNWsSFBSEq02aNInx48dnmx8XF0eiKeTsYczO1nymZsd/rV0apRAx5y6vDoEpg+0XAabNJJyGm6KcDxccUhlCzmc/2THnSD0HWoWbU6o0IaFEArawMIrEpY4cJuIr+8I6laBLczh1JnPRWHNHO9RcFJzOvn2Y5bfvBX37w7Y1EH8cKtWARm0hoCgcc9IFQ7xeoT0evzAc5mWo6eno5Vq+DMTFZs/wMJ/Nn5pD7HZ7kNY8Npm45SLgwYnaPq5DoW2DnuzFO6FhZVj6AyRegpKh0P9PsG4l7P09ezFy871VSYSkxMzHFhOc6nw7nD5jnzyUp7TBM2c89zPK18yonGJuCkaJh3J7MGr+/PmMGjXqiq+Ljo6mfv3617wckwEVE5Oh+F+GjKnSpUvn+HvPPPMMjz/+eKbMqKpVq1KuXDlKliyJJ+70TVdEs3468ZBrUr48tG4Bb3yQOd3XnPgMvw22fwJHDtkvFgyT5VGzLvQfAsVLqA2K7+8Lx9wPtz5kv5Aw2YLmDndoUZg8Ep4clSW7owgEBsK7s6FWbaidoUuT+LRCezx+7E4w51VT58P+WKgXCU8OhuQ4uPPO7K83x5a334aqlWD5xxD3B9RrCh1uh0DX34T0JYW2DXq6p/4Cj90BZ85DWKi9a124H9z5UPZtw4z2PWkGTH4c9u5Mn99nGIx6HNxwo94b26AZRb1QZEbl1EvTyf1lEU/g9mDUvffea00FzQSyVq9ebUXmM9aNMvWiGjZsmOPvBQcHW1NWZofqqQd28/d58vqJF5j8dyhbCqbMgpPxEF4SHr0HxjwA8U/Af16xj6JnAlG3DYL7/wYl04swqw2KJyiwdti2GexdDO99Dr8dgrqRcE9vKFcaSheDJx+BuNRsp6qR8O+ZUCeXWiHiswrtvnBEb/uUkTXy5G544YX0mxkhIfDuu9C4sf3x0Edcv64+rtC2QU8XHGSfHAb3gf0HYdyU9NFYS4fD7DehQ2dovx1+3gJxR6BBE4jwnlqDntAGC0X7N5lRCkaJl/GzmeiMl6pevTq9evVi2rRpV3zthg0baN26NatWraJz587WvF9++cUKUs2ZM+eqR9MzmVFhYWFWyqmnZkYdO3aM8uXLF44drxQsc8FghhguWfyqi2KqDYoncGs7NBcSP223Z0RFNcy5xpT4NO0Lc2BKM3z5pbnbB926gQeeS/kKtUEvdOIkrN0IIUWhfWv7duLFPKUNevr1W778bTWgZA4f8ekUCNuPT/794t3cnhmVVwcOHGDTpk3Wz+fPn+e3337jk08+sR4PMMPOpwoICGDYsGHMnGkfyatVq1Z069aNESNGMGXKFCtdc8yYMTRq1Ih+/fq56a8R8XAmAFVKw86L5IkJQjVroQ9NxJmICOfd9UQEypSGPj30Sci1ddPLKd5XCOq3i3fyumDUmjVrGD58eNrj5cuXW5ORMckrOTnZmjKaO3euVf9p9OjRJCUl0bVrV958800rcCUiIiIiIiLidUzvTieDLlqusx9UxhI3Tt/eeztaiZt5Xd+Be+65x2rwzqaMzOP3338/0zyTwmgypUzRcjOqwoIFC6hUqZKL/wIRERERERGRfHL2CtN1MOVuihcvzsiRI62fzWR+DgkJsX4WuVZKCcojR9DL9M/11L7ZJtBmuiGqZpSoDUphpX2huJvaoLib2qC4m6e0Qcd1my9n8Jy+nMtzjv+zXL/mNFBXVrfccgv+/v5UqVLF+tkwPZPMd+p4LHItFIzKI7NDNapWrXpNH7iIiIiIiIi4/jrO9JTxJUFBQVSsWJGqR47k+jqT2ZT1+vVf//oX48aNyzTPBOwylroxXfRMIEqkICgYlUemW19MTAwlSpS4Yv9ZdzARb7OjMeuo0RJEbVAKK+0Lxd3UBsXd1AbF3TylDZoAiwlE+WJ5FpN1tn//fi5dunTFzyDrtauzrKhvvvmGDh06pD1u164dX3/9dT6usUg6BaPyyKQjmhRFT2d2+ApGidqgFHbaF4q7qQ2Ku6kNirt5Qhv0tYyorAEpM+WH5s2bp41cb5gEDJGComCUiIiIiIiISCFngk8tWrS44utUm1gK5Wh6IiIiIiIiIuIepUuX5ty5cyxcuNBjB/YSz6dglI8xfX9NMbqrGRlBRG1QfJX2heJuaoPibmqD4m5qg76rV69e1KxZk/79+7Nr1y53r454KT+bL49xKSIiIiIiIiIiHkWZUSIiIiIiIiIi4jIKRomIiIiIiIiIiMsoGCUiIiIiIiIiIi6jYJSP2L17N126dCE0NJSKFSvy1FNPcenSJXevlviIvXv3cv/999OkSRMCAgK48cYbnb5u5syZ1K1bl6JFi9K4cWO++OKLbK9JSEhg5MiR1igcZvjYAQMGEBsb64K/QrzV/Pnzuf3226lSpYq1jzPtcNasWWQteaj2JwVp6dKltGvXjnLlyllFeU3h1scff9zap2W0ePFia/9n9oNmf/jee+9ley9zfH7yySet47Vp0+b4vWfPHn2Bkidnz5619ot+fn5s3rw503PaH0pBeP/99632lnV6+umn1f5EJM8UjPIBp06domPHjtbJrRlec+LEibzzzjvWSbJIfti5cydLliyhdu3a3HDDDU5fM2fOHEaNGsUdd9zBsmXLaNWqFX379uX777/P9Drz/MqVK5k+fToffvihdQHWo0cPkpKS9GWJU6+++irFihVjypQp1oW+aS+mrT333HNqf+IyJ0+epGXLlta+a8WKFdYxdvbs2QwcODDtNevWrbP2e2b/Z/aDZn9ngu+ffPJJpvd65JFHePfdd63jtTluX7x4kU6dOmULbInk5vnnn3d67NTxWAra8uXL2bBhQ9r04IMPqv2JSN6Z0fTEu02cONEWGhpqO3HiRNq8t99+2+bv7287fPiwW9dNfENycnLaz8OGDbNFRUVle03dunVtQ4YMyTSvVatWth49eqQ9Xr9+vUllsa1YsSJt3u7du21+fn62uXPnFtj6i3eLi4vLNm/UqFG2kiVLprVNtT9xh3feecfapzmOtV27drW1bt0602vMfrFBgwZpj2NiYqzjszlOO5jjtzmOv/TSSy5ce/Fm0dHRVpuZPn261QY3bdqU9pz2h1JQ3nvvPau9OTsuq/2JSF4pM8oHmLuvnTt3tro9OQwaNIiUlBQrA0XkehUpkvuuYt++ffzyyy9Wu8to8ODBfPnll9Zdf0dbDQ8Pt7qkONSrV8/qdmW6wIg4U7Zs2WzzmjZtyunTpzl37pzan7hNmTJlrP9NZrLZz61ZsyZTppRjPxgdHc3vv/9uPTbHZXN8zvg6c/zu2rWr9oNy1R5++GGr+7w5hmak47G4k9qfiOSFglE+Ui+qfv36meaZC/6IiAjrORFXtEEjazts0KCBdZG2f//+tNeZE2dTXyDr69RWJS9Md6jKlStbdcfU/sSVkpOTSUxMZOvWrVZX0dtuu43q1avz22+/cfnyZaf7QcPRTs3/5cuXp1SpUtlep/2gXA3T7fOnn35i7Nix2Z7T/lBcISoqCn9/f6t23qRJk6z9otqfiORVQJ5/QzyyZpQJPmVlTnRNjQsRV7RBI2s7dFxsOdqh2qrkVyDK1EQxNaTU/sTVIiMjOXz4sPVz9+7d+eijj9QOxWXOnz9v1Ssz9cZKliyZ7Xkdj6UgmRvd48ePt+rnmRuLixYt4tlnn7X2idOmTVP7E5E8UTBKRES8xqFDh6yi0B06dLCKQIu4mulSbLqHmoEdJkyYQO/evVm1apW+CHEJ0+YqVKjA8OHD9YmLy3Xr1s2aHEz34pCQEF577TXGjBmjb0RE8kTd9HyAyT5xNgKPuTuWsY6USEG2QSNrO3TcoXW0Q7VVuR7x8fHWSHqmTs+CBQvSapmp/YkrNWrUyBot79577+Xzzz+36kR9+umnaodS4A4cOGBlhJrMFHO8NfvEs2fPWs+Z/82k/aG4mqkXarrp/fjjj2p/IpInCkb5AFOfImudCXOSEhsbm612hUhBtUEjazs0j4OCgqyaAo7X7dmzx4zime11aquSmwsXLtCrVy9r32YK4YeFhan9iUcEpgIDA9m7dy+1atWyfna2HzQc+zjz/9GjR9OC9Rlfp/2g5MbUXzR1GHv27Gld9JvJZOYZJlvUDGaj47G4k9qfiOSFglE+wGQKrF692rpD5jB//nwra8Ckz4oUNBNsqlu3rtXuMpo7dy6dOnWyAlKOtmouwMwIew5mFL5t27Zx66236osSp5KSkqw7r2ZEsuXLl1uFy9X+xBNs3LjRKlpu9oHBwcFWQMAUl866HzTFyU2Rc8Mcl83x2WT3OZj9ohllT/tByY0ZedZk4mWcTPcoY/r06fz73//W8VhcztRwNMXMzSi3Oh8UkTyxidc7efKkLSIiwtauXTvbihUrbLNmzbKFh4fbHnzwQXevmviIc+fO2ebPn29N7du3t1WtWjXt8bFjx6zXfPTRRzY/Pz/b2LFjbWvWrLHdf//9toCAANv69eszvVe3bt2s3583b55t0aJFtoYNG9oaN25su3z5spv+OvF0o0aNMql0tilTptg2bNiQaUpMTLReo/YnBa1v3762F154wbZ48WLb6tWrrfZYsWJFW6NGjWwXL160XrN27Vqbv7+/7YEHHrD2g2Z/aPaLZn+X0X333Wcdp83x2hy3zfG7cuXKtvj4eH2RkiemnZn946ZNm9LmaX8oBaVr1662F1980bZkyRJrMvsys4979NFH1f5EJM8UjPIRu3btsnXq1MkWEhJiK1++vO2JJ55IOzkWuV779++3TnadTeZE2GHGjBm22rVr24KCgqwgk7loy8pcbI0YMcK6ECtevLitX79+tsOHD+tLkhxFRkbm2P5M21T7E1eYNGmSrUmTJrYSJUrYQkNDbVFRUbZ//vOftoSEhEyv+/zzz639n9kPmv3hzJkzs72XCaL+7W9/s47X5rjduXNnW3R0tL5IyZdglKHjsRSERx55xFanTh1rvxUcHGzt66ZOnWpLSUlR+xORPPMz/+Qtl0pEREREREREROTaqGaUiIiIiIiIiIi4jIJRIiIiIiIiIiLiMgpGiYiIiIiIiIiIyygYJSIiIiIiIiIiLqNglIiIiIiIiIiIuIyCUSIiIiIiIiIi4jIKRomIiIiIiIiIiMsoGCUiIiIiIiIiIi6jYJSIiIiL+fn5XXF6//33ad++Pb169fKI7+ett97ipptucsmyXnjhBbp06eKSZYmIiIiI6/nZbDabG5YrIiJSaH3//feZHrdq1YqHH36YoUOHps2rVasWcXFx+Pv7U69ePdzp/Pnz1vpMmzaN/v37F/jy4uPjiYyM5LPPPqNDhw4FvjwRERERca0AFy9PRESk0LvllluyfQbVqlXLNr9cuXIe8VnNnTuXy5cvc/vtt7tkeeHh4VbQa+rUqQpGiYiIiPggddMTERHxUFm76Y0bN47ixYuzbds2K5sqJCSEZs2aWY8TExN54IEHKFWqFFWqVOH111/P9n4bNmygY8eOhIaGEhYWZmViHTt27Irr8cEHH1iBqICA9HtYphuh6U64efNmunbtSrFixawMrtWrV5OSksKzzz5LhQoVrOmZZ56x5jkcOnSIQYMGWc8VLVqUGjVq8Nhjj2Va5sCBA1myZAnHjx+/jk9QRERERDyRglEiIiJexGQoDRs2jNGjR7NgwQLrcb9+/bj33nut4NS8efPo06ePFdxZv359pkCUCW6ZIJTJdHrnnXfYtGnTFbOdLly4YL1PmzZtnD5/9913WwGzTz/9lEqVKlnr8te//pWYmBhmz57Ngw8+yIsvvsicOXMy/c6OHTt44403WL58OePHjyc5OTnT+5pgm5n39ddfX/dnJiIiIiKeRd30REREvMilS5d46aWX6NGjh/XYZBz17t2bli1b8uqrr1rzTPbT/Pnzral169bWvKeffpoWLVqwcOFCK6PJaNiwITfeeCNLly7l1ltvdbq8H3/80Qp4NWrUyOnzptaVycgyKleubL2nyZYywS+jW7duLFq0yFoXR02sH374gUmTJnHHHXdkClBl7apnui5u3LiRAQMGXPfnJiIiIiKeQ5lRIiIiXqRIkSJ06tQp7XHdunWt/zt37pw2zxQ9NwXHTXaSowD5d999Z3V9M9lGSUlJ1mR+t2rVqlaGVE5iY2NzrV+VcdQ7x7pkXD/HfMe6GKZr4SuvvMJ//vMf9u7dm+Oyy5Ytm7Z8EREREfEdCkaJiIh4EdMVLygoKO2x42eTSZSRmW/qSBmnTp2yglCm615gYGCm6eDBg5kCRVk53iM4ONjp8xmXezXrYphugiZgNWbMGOrUqUP9+vWtjK2szDJNN0ERERER8S3qpiciIuLjTHDIdM37xz/+YdWTcpaBlJPSpUtb/8fHx1OxYsV8WZ+IiAhmzZrFjBkz2LJlCxMmTLC67O3Zs4eaNWumvc4sMyoqKl+WKSIiIiKeQ5lRIiIiPs6MnmcKgkdHR1t1o7JO1atXz/F3zQh5xv79+wuky+FNN91kBaNMt8GMXfZMLSyTteVYvoiIiIj4DmVGiYiIFAKTJ0+2CpubDKTBgwdTqlQpDh06xKpVqxg+fLg10p4zNWrUsDKZTAaTo2j69UhISLCKmt91111WoMkUZH/zzTet7C1TS8rBZEmdPXuWtm3bXvcyRURERMSzKDNKRESkEDCj6q1bt84K8Jjgkxk977nnnqNYsWLUrl071981o9ktW7YsX9ajaNGi1oh7JgB12223WUEpkwW1cuXKTN0FzfIiIyOtzCkRERER8S1+NpvN5u6VEBEREc+1Y8cOmjZtyr59+6wAkSuYIFTv3r0ZO3asS5YnIiIiIq6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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Phase wraps from +π to -π (or vice versa) — this is normal!\n", + "Notice: peaks correspond to phase π/2, troughs to phase -π/2.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 5: Phase Extraction\n", + "# ============================================================================\n", + "\n", + "# Create a simple signal\n", + "fs = 250\n", + "duration = 0.5\n", + "t = np.arange(0, duration, 1/fs)\n", + "freq = 8 # Hz\n", + "\n", + "# Signal and analytic signal\n", + "signal_raw = np.sin(2 * np.pi * freq * t)\n", + "analytic = hilbert(signal_raw)\n", + "phase = np.angle(analytic)\n", + "\n", + "# Theoretical phase (unwrapped)\n", + "theoretical_phase = 2 * np.pi * freq * t\n", + "theoretical_wrapped = np.mod(theoretical_phase + np.pi, 2 * np.pi) - np.pi\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Plot 1: Signal\n", + "ax1 = axes[0]\n", + "ax1.plot(t * 1000, signal_raw, color=COLORS[\"signal_1\"], linewidth=2)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Original Signal: sin(2π·8·t)', fontsize=12, fontweight='bold')\n", + "ax1.grid(True, alpha=0.3)\n", + "ax1.axhline(y=0, color='gray', linestyle='--', linewidth=0.8)\n", + "\n", + "# Mark peaks and troughs\n", + "peak_times = np.where(np.diff(np.sign(np.diff(signal_raw))) < 0)[0] + 1\n", + "trough_times = np.where(np.diff(np.sign(np.diff(signal_raw))) > 0)[0] + 1\n", + "ax1.scatter(t[peak_times] * 1000, signal_raw[peak_times], color=COLORS[\"signal_3\"], s=80, \n", + " zorder=5, label='Peaks (φ=π/2)')\n", + "ax1.scatter(t[trough_times] * 1000, signal_raw[trough_times], color=COLORS[\"negative\"], s=80,\n", + " zorder=5, label='Troughs (φ=-π/2)')\n", + "ax1.legend(loc='upper right', fontsize=10)\n", + "\n", + "# Plot 2: Extracted phase\n", + "ax2 = axes[1]\n", + "ax2.plot(t * 1000, phase, color=COLORS[\"signal_5\"], linewidth=2, label='Extracted phase')\n", + "ax2.plot(t * 1000, theoretical_wrapped, color=COLORS[\"signal_4\"], linewidth=2, linestyle='--',\n", + " label='Theoretical phase')\n", + "ax2.set_ylabel('Phase (radians)', fontsize=11)\n", + "ax2.set_title('Extracted Instantaneous Phase', fontsize=12, fontweight='bold')\n", + "ax2.axhline(y=np.pi/2, color=COLORS[\"signal_3\"], linestyle=':', alpha=0.7)\n", + "ax2.axhline(y=-np.pi/2, color=COLORS[\"negative\"], linestyle=':', alpha=0.7)\n", + "ax2.axhline(y=0, color='gray', linestyle='--', linewidth=0.8)\n", + "ax2.set_ylim(-np.pi - 0.3, np.pi + 0.3)\n", + "ax2.legend(loc='upper right', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Add pi labels\n", + "ax2.set_yticks([-np.pi, -np.pi/2, 0, np.pi/2, np.pi])\n", + "ax2.set_yticklabels(['-π', '-π/2', '0', 'π/2', 'π'])\n", + "\n", + "# Plot 3: Phase wrapped to color\n", + "ax3 = axes[2]\n", + "ax3.scatter(t * 1000, signal_raw, c=phase, cmap='hsv', s=20)\n", + "ax3.set_xlabel('Time (ms)', fontsize=11)\n", + "ax3.set_ylabel('Amplitude', fontsize=11)\n", + "ax3.set_title('Signal Colored by Instantaneous Phase', fontsize=12, fontweight='bold')\n", + "ax3.grid(True, alpha=0.3)\n", + "\n", + "# Add colorbar\n", + "sm = plt.cm.ScalarMappable(cmap='hsv', norm=plt.Normalize(-np.pi, np.pi))\n", + "sm.set_array([])\n", + "cbar = plt.colorbar(sm, ax=ax3, label='Phase (radians)')\n", + "cbar.set_ticks([-np.pi, -np.pi/2, 0, np.pi/2, np.pi])\n", + "cbar.set_ticklabels(['-π', '-π/2', '0', 'π/2', 'π'])\n", + "\n", + "plt.suptitle('Visualization 5: Instantaneous Phase Extraction', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Phase wraps from +π to -π (or vice versa) — this is normal!\")\n", + "print(\"Notice: peaks correspond to phase π/2, troughs to phase -π/2.\")" + ] + }, + { + "cell_type": "markdown", + "id": "63c8ad02", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 7. The Narrowband Requirement\n", + "\n", + "### Why Filtering is Essential\n", + "\n", + "The Hilbert transform only produces **meaningful** results for **narrowband signals** — signals that contain a single dominant frequency or a narrow range of frequencies.\n", + "\n", + "For broadband signals:\n", + "- The \"instantaneous phase\" and \"amplitude\" become mathematically defined but **physically meaningless**\n", + "- The envelope can become negative (which makes no physical sense)\n", + "- Phase estimates become unreliable\n", + "\n", + "### The Rule of Thumb\n", + "\n", + "A signal is considered narrowband if:\n", + "\n", + "$$\\frac{\\Delta f}{f_c} < 0.5$$\n", + "\n", + "where $\\Delta f$ is the bandwidth and $f_c$ is the center frequency.\n", + "\n", + "For EEG bands:\n", + "| Band | Range | Center | Bandwidth | Ratio |\n", + "|------|-------|--------|-----------|-------|\n", + "| Alpha | 8-13 Hz | 10.5 Hz | 5 Hz | 0.48 ✓ |\n", + "| Theta | 4-8 Hz | 6 Hz | 4 Hz | 0.67 ⚠️ |\n", + "| Beta | 13-30 Hz | 21.5 Hz | 17 Hz | 0.79 ✗ |\n", + "\n", + "**Recommendation**: For broad bands like beta, consider subdividing (low-beta, high-beta)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "f3a8b36a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Narrowband: Δf/fc = 4/10 = 0.40 (< 0.5 ✓)\n", + "Broadband: Δf/fc = 20/15 = 1.33 (> 0.5 ✗)\n", + "\n", + "Always filter to a narrow band before applying the Hilbert transform!\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 6: Narrowband vs Broadband Hilbert Transform\n", + "# ============================================================================\n", + "\n", + "# Create signals\n", + "fs = 250\n", + "duration = 2.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create composite signal (5 + 10 + 20 Hz)\n", + "composite = (np.sin(2 * np.pi * 5 * t) + \n", + " np.sin(2 * np.pi * 10 * t) + \n", + " 0.5 * np.sin(2 * np.pi * 20 * t))\n", + "\n", + "# Narrowband filtered (8-12 Hz) - centered on 10 Hz\n", + "narrowband = bandpass_filter(composite, 8, 12, fs)\n", + "\n", + "# Broadband filtered (5-25 Hz) - wide range\n", + "broadband = bandpass_filter(composite, 5, 25, fs)\n", + "\n", + "# Compute analytic signals\n", + "analytic_narrow = hilbert(narrowband)\n", + "analytic_broad = hilbert(broadband)\n", + "\n", + "envelope_narrow = np.abs(analytic_narrow)\n", + "envelope_broad = np.abs(analytic_broad)\n", + "phase_narrow = np.angle(analytic_narrow)\n", + "phase_broad = np.angle(analytic_broad)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Plot 1: Narrowband signal + envelope\n", + "ax1 = axes[0, 0]\n", + "ax1.plot(t * 1000, narrowband, color=COLORS[\"signal_1\"], linewidth=1, alpha=0.7, label='Signal')\n", + "ax1.plot(t * 1000, envelope_narrow, color=COLORS[\"signal_4\"], linewidth=2, label='Envelope')\n", + "ax1.plot(t * 1000, -envelope_narrow, color=COLORS[\"signal_4\"], linewidth=2)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Narrowband (8-12 Hz): Clean Envelope', fontsize=12, fontweight='bold', color=COLORS[\"signal_3\"])\n", + "ax1.legend(loc='upper right', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "ax1.set_xlim(0, 500)\n", + "\n", + "# Plot 2: Broadband signal + envelope\n", + "ax2 = axes[0, 1]\n", + "ax2.plot(t * 1000, broadband, color=COLORS[\"signal_1\"], linewidth=1, alpha=0.7, label='Signal')\n", + "ax2.plot(t * 1000, envelope_broad, color=COLORS[\"signal_4\"], linewidth=2, label='Envelope')\n", + "ax2.plot(t * 1000, -envelope_broad, color=COLORS[\"signal_4\"], linewidth=2)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Broadband (5-25 Hz): Envelope Tracks Peaks Poorly', \n", + " fontsize=12, fontweight='bold', color=COLORS[\"negative\"])\n", + "ax2.legend(loc='upper right', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "ax2.set_xlim(0, 500)\n", + "\n", + "# Plot 3: Narrowband phase\n", + "ax3 = axes[1, 0]\n", + "ax3.plot(t * 1000, phase_narrow, color=COLORS[\"signal_5\"], linewidth=1)\n", + "ax3.set_xlabel('Time (ms)', fontsize=11)\n", + "ax3.set_ylabel('Phase (radians)', fontsize=11)\n", + "ax3.set_title('Narrowband Phase: Smooth, Predictable', fontsize=12, fontweight='bold', color=COLORS[\"signal_3\"])\n", + "ax3.set_yticks([-np.pi, 0, np.pi])\n", + "ax3.set_yticklabels(['-π', '0', 'π'])\n", + "ax3.grid(True, alpha=0.3)\n", + "ax3.set_xlim(0, 500)\n", + "\n", + "# Plot 4: Broadband phase\n", + "ax4 = axes[1, 1]\n", + "ax4.plot(t * 1000, phase_broad, color=COLORS[\"signal_5\"], linewidth=1)\n", + "ax4.set_xlabel('Time (ms)', fontsize=11)\n", + "ax4.set_ylabel('Phase (radians)', fontsize=11)\n", + "ax4.set_title('Broadband Phase: Irregular, Unreliable', \n", + " fontsize=12, fontweight='bold', color=COLORS[\"negative\"])\n", + "ax4.set_yticks([-np.pi, 0, np.pi])\n", + "ax4.set_yticklabels(['-π', '0', 'π'])\n", + "ax4.grid(True, alpha=0.3)\n", + "ax4.set_xlim(0, 500)\n", + "\n", + "plt.suptitle('Visualization 6: The Narrowband Requirement', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Compute bandwidth ratios\n", + "narrow_bw = 12 - 8\n", + "narrow_center = 10\n", + "broad_bw = 25 - 5\n", + "broad_center = 15\n", + "print(f\"Narrowband: Δf/fc = {narrow_bw}/{narrow_center} = {narrow_bw/narrow_center:.2f} (< 0.5 ✓)\")\n", + "print(f\"Broadband: Δf/fc = {broad_bw}/{broad_center} = {broad_bw/broad_center:.2f} (> 0.5 ✗)\")\n", + "print(\"\\nAlways filter to a narrow band before applying the Hilbert transform!\")" + ] + }, + { + "cell_type": "markdown", + "id": "7b5eab77", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 8. Complete Workflow — Filter → Hilbert → Extract\n", + "\n", + "Now let's put it all together in a complete workflow for extracting amplitude and phase from a realistic signal:\n", + "\n", + "### The Standard Pipeline\n", + "\n", + "```\n", + "Raw Signal → Band-pass Filter → Hilbert Transform → Extract Amplitude/Phase\n", + "```\n", + "\n", + "1. **Band-pass filter** the signal to the frequency band of interest\n", + "2. Apply **scipy.signal.hilbert()** to compute the analytic signal\n", + "3. Extract **amplitude** as `np.abs(analytic)`\n", + "4. Extract **phase** as `np.angle(analytic)`" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "4edca006", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The envelope correctly captures the alpha burst (1-2.5s).\n", + "Phase is only meaningful during periods of sufficient amplitude.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 7: Complete Workflow Demonstration\n", + "# ============================================================================\n", + "\n", + "def extract_band_amplitude_phase(\n", + " signal_data: NDArray[np.floating],\n", + " low_freq: float,\n", + " high_freq: float,\n", + " fs: float\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"\n", + " Extract amplitude envelope and instantaneous phase from a signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal_data : NDArray[np.floating]\n", + " Input signal.\n", + " low_freq : float\n", + " Lower cutoff frequency for band-pass filter.\n", + " high_freq : float\n", + " Upper cutoff frequency for band-pass filter.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " filtered : NDArray[np.floating]\n", + " Band-pass filtered signal.\n", + " amplitude : NDArray[np.floating]\n", + " Instantaneous amplitude (envelope).\n", + " phase : NDArray[np.floating]\n", + " Instantaneous phase in radians.\n", + " \"\"\"\n", + " # Step 1: Band-pass filter\n", + " filtered = bandpass_filter(signal_data, low_freq, high_freq, fs)\n", + " \n", + " # Step 2: Compute analytic signal via Hilbert transform\n", + " analytic = hilbert(filtered)\n", + " \n", + " # Step 3: Extract amplitude and phase\n", + " amplitude = np.abs(analytic)\n", + " phase = np.angle(analytic)\n", + " \n", + " return filtered, amplitude, phase\n", + "\n", + "\n", + "# Create a realistic-looking \"EEG-like\" signal\n", + "np.random.seed(42)\n", + "fs = 250\n", + "duration = 4.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Mix of frequencies with varying amplitudes + noise\n", + "alpha_burst = np.zeros_like(t)\n", + "alpha_burst[(t > 1) & (t < 2.5)] = 3 * np.sin(2 * np.pi * 10 * t[(t > 1) & (t < 2.5)])\n", + "\n", + "eeg_like = (\n", + " 1.5 * np.sin(2 * np.pi * 3 * t) + # Delta/theta\n", + " alpha_burst + # Alpha burst\n", + " 0.5 * np.sin(2 * np.pi * 20 * t) + # Beta\n", + " 0.8 * np.random.randn(len(t)) # Noise\n", + ")\n", + "\n", + "# Apply the complete workflow for alpha band\n", + "filtered_alpha, amplitude_alpha, phase_alpha = extract_band_amplitude_phase(\n", + " eeg_like, low_freq=8, high_freq=13, fs=fs\n", + ")\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(4, 1, figsize=(14, 10))\n", + "\n", + "# Plot 1: Raw signal\n", + "ax1 = axes[0]\n", + "ax1.plot(t, eeg_like, color='gray', linewidth=0.8)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Step 0: Raw \"EEG-like\" Signal (with alpha burst 1-2.5s)', \n", + " fontsize=12, fontweight='bold')\n", + "ax1.axvspan(1, 2.5, alpha=0.2, color=COLORS[\"signal_4\"], label='Alpha burst period')\n", + "ax1.legend(loc='upper right', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Plot 2: Filtered signal\n", + "ax2 = axes[1]\n", + "ax2.plot(t, filtered_alpha, color=COLORS[\"signal_1\"], linewidth=1)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Step 1: Band-pass Filtered (Alpha: 8-13 Hz)', fontsize=12, fontweight='bold')\n", + "ax2.axvspan(1, 2.5, alpha=0.2, color=COLORS[\"signal_4\"])\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Plot 3: Amplitude envelope\n", + "ax3 = axes[2]\n", + "ax3.plot(t, filtered_alpha, color=COLORS[\"signal_1\"], linewidth=0.8, alpha=0.5, label='Filtered')\n", + "ax3.plot(t, amplitude_alpha, color=COLORS[\"signal_4\"], linewidth=2, label='Envelope')\n", + "ax3.plot(t, -amplitude_alpha, color=COLORS[\"signal_4\"], linewidth=2)\n", + "ax3.set_ylabel('Amplitude', fontsize=11)\n", + "ax3.set_title('Step 2-3: Extract Amplitude Envelope via Hilbert Transform', \n", + " fontsize=12, fontweight='bold')\n", + "ax3.axvspan(1, 2.5, alpha=0.2, color=COLORS[\"signal_4\"])\n", + "ax3.legend(loc='upper right', fontsize=10)\n", + "ax3.grid(True, alpha=0.3)\n", + "\n", + "# Plot 4: Instantaneous phase\n", + "ax4 = axes[3]\n", + "ax4.plot(t, phase_alpha, color=COLORS[\"signal_5\"], linewidth=0.8)\n", + "ax4.set_xlabel('Time (s)', fontsize=11)\n", + "ax4.set_ylabel('Phase (radians)', fontsize=11)\n", + "ax4.set_title('Step 2-3: Extract Instantaneous Phase via Hilbert Transform', \n", + " fontsize=12, fontweight='bold')\n", + "ax4.axvspan(1, 2.5, alpha=0.2, color=COLORS[\"signal_4\"])\n", + "ax4.set_yticks([-np.pi, 0, np.pi])\n", + "ax4.set_yticklabels(['-π', '0', 'π'])\n", + "ax4.grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 7: Complete Hilbert Transform Workflow', \n", + " fontsize=14, fontweight='bold', y=1.01)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The envelope correctly captures the alpha burst (1-2.5s).\")\n", + "print(\"Phase is only meaningful during periods of sufficient amplitude.\")" + ] + }, + { + "cell_type": "markdown", + "id": "b172b05d", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 9. Instantaneous Frequency\n", + "\n", + "### Definition\n", + "\n", + "The **instantaneous frequency** is the rate of change of phase:\n", + "\n", + "$$f_{inst}(t) = \\frac{1}{2\\pi} \\frac{d\\phi(t)}{dt}$$\n", + "\n", + "In discrete time, we compute this as:\n", + "\n", + "$$f_{inst}[n] = \\frac{f_s}{2\\pi} \\cdot \\Delta\\phi[n]$$\n", + "\n", + "where $\\Delta\\phi$ is the phase difference between consecutive samples (properly unwrapped).\n", + "\n", + "### Interpretation\n", + "\n", + "For a pure sine wave at frequency $f$, the instantaneous frequency is constant and equals $f$.\n", + "\n", + "For modulated or non-stationary signals, the instantaneous frequency varies over time.\n", + "\n", + "### Caution\n", + "\n", + "Instantaneous frequency is **very sensitive to noise** and only meaningful for narrowband signals with sufficient amplitude." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "987b6ed3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean Squared Error of frequency estimation: 0.067 Hz²\n", + "The Hilbert transform accurately tracks the changing frequency!\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 8: Instantaneous Frequency\n", + "# ============================================================================\n", + "\n", + "def compute_instantaneous_frequency(\n", + " phase: NDArray[np.floating],\n", + " fs: float\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Compute instantaneous frequency from phase.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase : NDArray[np.floating]\n", + " Instantaneous phase in radians (wrapped).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " inst_freq : NDArray[np.floating]\n", + " Instantaneous frequency in Hz.\n", + " \"\"\"\n", + " # Unwrap phase to remove discontinuities\n", + " unwrapped_phase = np.unwrap(phase)\n", + " \n", + " # Compute derivative (phase difference)\n", + " phase_diff = np.diff(unwrapped_phase)\n", + " \n", + " # Convert to frequency\n", + " inst_freq = fs * phase_diff / (2 * np.pi)\n", + " \n", + " # Pad to match original length\n", + " inst_freq = np.concatenate([[inst_freq[0]], inst_freq])\n", + " \n", + " return inst_freq\n", + "\n", + "\n", + "# Create a chirp signal (frequency sweep from 5 to 15 Hz)\n", + "fs = 250\n", + "duration = 2.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Linear chirp: frequency increases linearly from f0 to f1\n", + "f0, f1 = 5, 15\n", + "k = (f1 - f0) / duration # chirp rate\n", + "instantaneous_f_true = f0 + k * t # True instantaneous frequency\n", + "phase_true = 2 * np.pi * (f0 * t + 0.5 * k * t**2)\n", + "chirp_signal = np.sin(phase_true)\n", + "\n", + "# Compute analytic signal and extract phase\n", + "analytic = hilbert(chirp_signal)\n", + "phase_extracted = np.angle(analytic)\n", + "inst_freq = compute_instantaneous_frequency(phase_extracted, fs)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Plot 1: Chirp signal\n", + "ax1 = axes[0]\n", + "ax1.plot(t * 1000, chirp_signal, color=COLORS[\"signal_1\"], linewidth=1)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Chirp Signal (Frequency Sweep from 5 to 15 Hz)', fontsize=12, fontweight='bold')\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Plot 2: Extracted phase\n", + "ax2 = axes[1]\n", + "ax2.plot(t * 1000, phase_extracted, color=COLORS[\"signal_5\"], linewidth=1)\n", + "ax2.set_ylabel('Phase (radians)', fontsize=11)\n", + "ax2.set_title('Extracted Instantaneous Phase', fontsize=12, fontweight='bold')\n", + "ax2.set_yticks([-np.pi, 0, np.pi])\n", + "ax2.set_yticklabels(['-π', '0', 'π'])\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Plot 3: Instantaneous frequency\n", + "ax3 = axes[2]\n", + "ax3.plot(t * 1000, instantaneous_f_true, color=COLORS[\"negative\"], linewidth=2, \n", + " label='True frequency', linestyle='--')\n", + "ax3.plot(t * 1000, inst_freq, color=COLORS[\"signal_4\"], linewidth=1.5, \n", + " label='Estimated frequency')\n", + "ax3.set_xlabel('Time (ms)', fontsize=11)\n", + "ax3.set_ylabel('Frequency (Hz)', fontsize=11)\n", + "ax3.set_title('Instantaneous Frequency: True vs Estimated', fontsize=12, fontweight='bold')\n", + "ax3.legend(loc='upper left', fontsize=10)\n", + "ax3.set_ylim(0, 20)\n", + "ax3.grid(True, alpha=0.3)\n", + "\n", + "# Show estimation error\n", + "mse = np.mean((inst_freq - instantaneous_f_true)**2)\n", + "ax3.text(1500, 3, f'MSE = {mse:.3f} Hz²', fontsize=10,\n", + " bbox=dict(boxstyle='round', facecolor='white', alpha=0.8))\n", + "\n", + "plt.suptitle('Visualization 8: Instantaneous Frequency from Hilbert Transform', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Mean Squared Error of frequency estimation: {mse:.3f} Hz²\")\n", + "print(\"The Hilbert transform accurately tracks the changing frequency!\")" + ] + }, + { + "cell_type": "markdown", + "id": "c3c6a7c6", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 10. Edge Effects and Padding\n", + "\n", + "### The Problem\n", + "\n", + "The Hilbert transform is computed via FFT, which assumes the signal is periodic. At the **edges** of a finite signal, this assumption fails, causing:\n", + "- Distorted envelope near the beginning and end\n", + "- Phase discontinuities\n", + "- \"Gibbs ringing\" artifacts\n", + "\n", + "### Solutions\n", + "\n", + "1. **Zero-padding**: Extend the signal with zeros before computing\n", + "2. **Reflection padding**: Mirror the signal at edges\n", + "3. **Trim edges**: Discard a few samples at the boundaries\n", + "4. **Windowing**: Apply a taper function before computing\n", + "\n", + "### Practical Recommendation\n", + "\n", + "For EEG analysis, **trim the first and last ~3 cycles** of the center frequency to avoid edge artifacts.\n", + "\n", + "For 10 Hz alpha: trim ~300 ms from each end." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "7486c32d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Edge effects: The envelope deviates from expected values at signal boundaries.\n", + "Solutions: Apply windowing, zero-padding, or trim edge samples.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 9: Edge Effects\n", + "# ============================================================================\n", + "\n", + "# Create a clean signal\n", + "fs = 250\n", + "duration = 1.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "freq = 10\n", + "\n", + "# Signal that abruptly starts and ends\n", + "abrupt_signal = np.sin(2 * np.pi * freq * t)\n", + "\n", + "# Windowed signal (smooth start and end)\n", + "window = np.hanning(len(t))\n", + "windowed_signal = abrupt_signal * window\n", + "\n", + "# Compute analytic signals\n", + "analytic_abrupt = hilbert(abrupt_signal)\n", + "analytic_windowed = hilbert(windowed_signal)\n", + "\n", + "envelope_abrupt = np.abs(analytic_abrupt)\n", + "envelope_windowed = np.abs(analytic_windowed)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Plot 1: Abrupt signal\n", + "ax1 = axes[0, 0]\n", + "ax1.plot(t * 1000, abrupt_signal, color=COLORS[\"signal_1\"], linewidth=1, alpha=0.7)\n", + "ax1.plot(t * 1000, envelope_abrupt, color=COLORS[\"signal_4\"], linewidth=2)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Abrupt Start/End: Edge Artifacts Visible', fontsize=12, fontweight='bold', color=COLORS[\"negative\"])\n", + "ax1.axvspan(0, 50, alpha=0.3, color=COLORS[\"negative\"], label='Edge region')\n", + "ax1.axvspan(950, 1000, alpha=0.3, color=COLORS[\"negative\"])\n", + "ax1.legend(loc='upper right', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Plot 2: Windowed signal\n", + "ax2 = axes[0, 1]\n", + "ax2.plot(t * 1000, windowed_signal, color=COLORS[\"signal_1\"], linewidth=1, alpha=0.7)\n", + "ax2.plot(t * 1000, envelope_windowed, color=COLORS[\"signal_4\"], linewidth=2)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Hanning Window: Smooth Edges', fontsize=12, fontweight='bold', color=COLORS[\"signal_3\"])\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Plot 3: Zoom on edge - abrupt\n", + "ax3 = axes[1, 0]\n", + "ax3.plot(t[:50] * 1000, abrupt_signal[:50], color=COLORS[\"signal_1\"], linewidth=2, alpha=0.7, label='Signal')\n", + "ax3.plot(t[:50] * 1000, envelope_abrupt[:50], color=COLORS[\"signal_4\"], linewidth=2, label='Envelope')\n", + "ax3.axhline(y=1, color='gray', linestyle='--', alpha=0.7, label='Expected envelope')\n", + "ax3.set_xlabel('Time (ms)', fontsize=11)\n", + "ax3.set_ylabel('Amplitude', fontsize=11)\n", + "ax3.set_title('Zoom: First 200ms (Abrupt)', fontsize=12, fontweight='bold')\n", + "ax3.legend(loc='lower right', fontsize=10)\n", + "ax3.grid(True, alpha=0.3)\n", + "\n", + "# Plot 4: Zoom on edge - windowed\n", + "ax4 = axes[1, 1]\n", + "ax4.plot(t[:50] * 1000, windowed_signal[:50], color=COLORS[\"signal_1\"], linewidth=2, alpha=0.7, label='Signal')\n", + "ax4.plot(t[:50] * 1000, envelope_windowed[:50], color=COLORS[\"signal_4\"], linewidth=2, label='Envelope')\n", + "ax4.plot(t[:50] * 1000, window[:50], color='gray', linestyle='--', alpha=0.7, label='Window')\n", + "ax4.set_xlabel('Time (ms)', fontsize=11)\n", + "ax4.set_ylabel('Amplitude', fontsize=11)\n", + "ax4.set_title('Zoom: First 200ms (Windowed)', fontsize=12, fontweight='bold')\n", + "ax4.legend(loc='lower right', fontsize=10)\n", + "ax4.grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 9: Edge Effects in Hilbert Transform', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Edge effects: The envelope deviates from expected values at signal boundaries.\")\n", + "print(\"Solutions: Apply windowing, zero-padding, or trim edge samples.\")" + ] + }, + { + "cell_type": "markdown", + "id": "08552068", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 11. Alternative Approaches — Wavelet Transform\n", + "\n", + "While the Hilbert transform is the standard approach, there are alternatives:\n", + "\n", + "### Wavelet Transform\n", + "\n", + "**Advantages**:\n", + "- Better time-frequency localization\n", + "- Naturally provides amplitude and phase\n", + "- No explicit filtering required\n", + "- Works with non-stationary signals\n", + "\n", + "**Disadvantages**:\n", + "- More computationally expensive\n", + "- Choice of wavelet affects results\n", + "- Edge effects still present\n", + "\n", + "### Comparison\n", + "\n", + "| Feature | Hilbert | Wavelet |\n", + "|---------|---------|---------|\n", + "| Time resolution | Fixed | Adaptive |\n", + "| Frequency resolution | Fixed | Adaptive |\n", + "| Computational cost | Low | Medium |\n", + "| Implementation | Simple | Complex |\n", + "| Phase extraction | Direct | Direct |\n", + "\n", + "We'll explore wavelets in detail in notebook **B04**." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ddada961", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Both methods track the burst, but wavelets provide better time localization.\n", + "Hilbert is simpler; wavelets are more flexible for non-stationary signals.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 10: Hilbert vs Wavelet Comparison\n", + "# ============================================================================\n", + "\n", + "def wavelet_amplitude_phase(\n", + " signal_data: NDArray[np.floating],\n", + " freq: float,\n", + " fs: float,\n", + " n_cycles: int = 7\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"\n", + " Extract amplitude and phase using Morlet wavelet.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal_data : NDArray[np.floating]\n", + " Input signal.\n", + " freq : float\n", + " Center frequency for wavelet.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " n_cycles : int\n", + " Number of cycles in wavelet.\n", + " \n", + " Returns\n", + " -------\n", + " amplitude : NDArray[np.floating]\n", + " Amplitude from wavelet transform.\n", + " phase : NDArray[np.floating]\n", + " Phase from wavelet transform.\n", + " \"\"\"\n", + " # Create complex Morlet wavelet\n", + " sigma = n_cycles / (2 * np.pi * freq)\n", + " \n", + " # Wavelet duration (4 standard deviations on each side)\n", + " wavelet_duration = 2 * 4 * sigma\n", + " wavelet_samples = int(wavelet_duration * fs)\n", + " if wavelet_samples % 2 == 0:\n", + " wavelet_samples += 1\n", + " \n", + " # Create wavelet time vector centered at 0\n", + " t_wavelet = np.arange(wavelet_samples) / fs - wavelet_duration / 2\n", + " \n", + " # Create complex Morlet wavelet\n", + " wavelet = np.exp(1j * 2 * np.pi * freq * t_wavelet) * np.exp(-t_wavelet**2 / (2 * sigma**2))\n", + " wavelet = wavelet / np.sqrt(sigma * np.sqrt(np.pi))\n", + " \n", + " # Convolve signal with wavelet\n", + " convolved = signal.convolve(signal_data, wavelet, mode='same')\n", + " \n", + " amplitude = np.abs(convolved)\n", + " phase = np.angle(convolved)\n", + " \n", + " return amplitude, phase\n", + "\n", + "\n", + "# Create a transient signal (burst)\n", + "fs = 250\n", + "duration = 2.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "freq = 10\n", + "\n", + "# Signal with transient burst\n", + "burst_signal = np.zeros_like(t)\n", + "burst_mask = (t > 0.5) & (t < 1.5)\n", + "burst_signal[burst_mask] = np.sin(2 * np.pi * freq * t[burst_mask])\n", + "\n", + "# Hilbert approach\n", + "filtered_hilbert = bandpass_filter(burst_signal, 8, 12, fs)\n", + "analytic_hilbert = hilbert(filtered_hilbert)\n", + "amp_hilbert = np.abs(analytic_hilbert)\n", + "phase_hilbert = np.angle(analytic_hilbert)\n", + "\n", + "# Wavelet approach\n", + "amp_wavelet, phase_wavelet = wavelet_amplitude_phase(burst_signal, freq, fs)\n", + "\n", + "# Normalize for comparison\n", + "amp_wavelet_norm = amp_wavelet / np.max(amp_wavelet) * np.max(amp_hilbert)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 9))\n", + "\n", + "# Plot 1: Signal\n", + "ax1 = axes[0]\n", + "ax1.plot(t, burst_signal, color=COLORS[\"signal_1\"], linewidth=1)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Transient Burst Signal (10 Hz, 0.5-1.5s)', fontsize=12, fontweight='bold')\n", + "ax1.axvspan(0.5, 1.5, alpha=0.2, color=COLORS[\"signal_4\"])\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Plot 2: Amplitude comparison\n", + "ax2 = axes[1]\n", + "ax2.plot(t, amp_hilbert, color=COLORS[\"signal_4\"], linewidth=2, label='Hilbert envelope')\n", + "ax2.plot(t, amp_wavelet_norm, color=COLORS[\"signal_5\"], linewidth=2, linestyle='--', \n", + " label='Wavelet amplitude')\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Amplitude Comparison: Hilbert vs Wavelet', fontsize=12, fontweight='bold')\n", + "ax2.axvspan(0.5, 1.5, alpha=0.2, color=COLORS[\"signal_4\"])\n", + "ax2.legend(loc='upper right', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Plot 3: Phase comparison (only during burst)\n", + "ax3 = axes[2]\n", + "ax3.plot(t[burst_mask], phase_hilbert[burst_mask], color=COLORS[\"signal_4\"], linewidth=1.5, \n", + " label='Hilbert phase')\n", + "ax3.plot(t[burst_mask], phase_wavelet[burst_mask], color=COLORS[\"signal_5\"], linewidth=1.5, \n", + " linestyle='--', label='Wavelet phase')\n", + "ax3.set_xlabel('Time (s)', fontsize=11)\n", + "ax3.set_ylabel('Phase (radians)', fontsize=11)\n", + "ax3.set_title('Phase Comparison During Burst (Hilbert vs Wavelet)', fontsize=12, fontweight='bold')\n", + "ax3.set_yticks([-np.pi, 0, np.pi])\n", + "ax3.set_yticklabels(['-π', '0', 'π'])\n", + "ax3.legend(loc='upper right', fontsize=10)\n", + "ax3.grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 10: Hilbert Transform vs Wavelet Approach', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Both methods track the burst, but wavelets provide better time localization.\")\n", + "print(\"Hilbert is simpler; wavelets are more flexible for non-stationary signals.\")" + ] + }, + { + "cell_type": "markdown", + "id": "5bc59cc8", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 12. Phase Synchronization Preview\n", + "\n", + "The Hilbert transform enables **phase synchronization** analysis — the foundation of many hyperscanning connectivity metrics.\n", + "\n", + "### Key Concept: Phase Locking\n", + "\n", + "Two signals are **phase-locked** if their phase difference remains constant (or nearly constant) over time:\n", + "\n", + "$$\\Delta\\phi(t) = \\phi_1(t) - \\phi_2(t) \\approx \\text{constant}$$\n", + "\n", + "### Preview of Metrics\n", + "\n", + "| Metric | Formula | Range | Key Feature |\n", + "|--------|---------|-------|-------------|\n", + "| **PLV** | $\\|E[e^{i\\Delta\\phi}]\\|$ | [0, 1] | Measures consistency |\n", + "| **PLI** | $\\|E[\\text{sign}(\\Delta\\phi)]\\|$ | [0, 1] | Ignores zero-lag |\n", + "| **wPLI** | Weighted by imaginary coherence | [0, 1] | Robust to noise |\n", + "\n", + "We'll explore these metrics in detail in notebook series **G** (Phase-based connectivity)." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "4cc7a796", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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3wQUXON+BdGmlTdx0002uBQGQv694xSusj370o8JCRPcRRn36bZ+PYkESBhCdWMhZt25d4Lmwnd3rMQpiUX0PX1KvBQJI3qB2jf4CbU8B59bTg8+sug/1z7///e/XzY9+PCwjdMDnV30HP88gMgxkphewvNCP8do/wBYmaDGlHdcUdH9ceOGFrvteeQTrCzmvec1rfO0g9Jd3S34rZC38xdXnRx99dM3v8Jn6Hsf6PSPgTawD7Vm/XiwY7Ko+4HnPe57vuZctWxb5ftTtTLDwpz6HNzUAH3l9oUO3GghqC942We+l38P6tYOk/utf/+r0T6pNwTLHa++CBSYGg8FgMHYH7JowoAwGg8FgtIiVK1eKLa4K3/nOd4SFgG6BgO2N3m3PQXjhC18oIlRjmzO24WKr6De/+U2xjRfbLLEVHNuU/WDzF1Wo7bJeYEsorAmCzhPlHI0C9g3IG7YHA3j/pS99yXUMtqtieza2nYehVCpRuzA1NeW8xzZlWE7oWL58uat81ZZoL9atW+e8925RV9t5H+9IJpNiyzPa1o9//GOx/TwIenl5y0wvr2baBOwGPvvZz4r6BP71r3+J+/IDH/iA2H4M+4U//OEP4jvYBnjvmzAoe4V6SKVS9O53v1tsm37ggQfE1uk3vOENNDY25hxTKBQc6waF//zP/3Tef/e73xWWKLpFQNg2dbRVbHGv1w71Ng/stdde1Aii1p0XsCnwwnst+v3m9zfqq53X5IcvfvGL9PGPf9z5+/Of/7zLrgB473vfS9/61rfqnrtd/ae3rLzl4v2smXJqR1/VSB/g1x782kTU+/E1r3kNxeP2FBLPTVjRwKoAlgXAIYccUtcWp9H0vdeAZ7Ruf6AsEGBL8axnPUu8h80QfqNbAT3zmc9sKE0Gg8FgMB4rsGctg8FgMHYbYJL4q1/9SrzHBPFrX/uamJDp3zcCeCfCXxLeffBAvP/+++maa64RnpsbN24UXpbw/ATU5BRQvnwKIIn88Kc//Ym2bdvm/A0yDGTw6OioIIe8hGWrQB4weVdevJjQgjzTrx2AB6kCiDZM9o8//nhBQIHU0v2A2wXdJxKE4OLioiv/8C1VgHchPA+DyDn9uCcK4L+qiM9GoJdXWJk12ybe9ra30XnnnScWCbAogXvh17/+tfgXnpfw9cS95K3PM888U5w/CM34Su67777iBW9OeKDiPbxU/e5R5Wd7xx13CA/p//mf/xEenAD8ZuHb2mqZer1RQShHIbEaTccLv37Fey36/eb3N7xh23lNfu3trW99q4uU1Ql0/TgF1BeI9QMOOECQlfCo1T2G2wW9rLzl4v2s0+XUjj4g6DmDfCo/46c//el01llnBZ7juOOOc97vsccegvSEVzAWYOBFrZ7Lytc2CrxtEn0FiN4g6AQ4nm2qbYCoVQQ6+hR43OMeBoGPBQAsxirv4cMOOyzStTEYDAaD8ViDyVoGg8Fg7DbAZBKTY6VmQiAiBUzOEBAoKkCc4FwgkaACxAuAehfBc5RSUEEnm+677z6h/MRnIHr++7//2zcNRRQpgAACUQvoKr52AIG7cO0qTQRkgVoyKECSAoL3KCUS1F5XXXVVYBo6AaEI4ajQJ/sAFNEIvqPIb708EGAGAXEeL9CJmg996EP04Q9/mJYammkTWNRAoCIQJSBvlGoNAYwU2bpp0yZxbhAlaJNK5YbPQNZ5SS3cTyB+9GB4QUBwKwSmAzmkK2kBkMwg9BT8yP//9//+nyCaAQQvUspABFlT92krQMAmXINSuX/qU58Siyl620YZ4tq95dBugOAEOabUjFjEgQIZ9QcgoFTY/dpOgORD0CqltIaKWQ88F9QuQdCpdgHFZBhx2Wpf9fe//128v/nmm8UihEoX7Q2f6cfursC14xkBbN++XdwL/f39rmPQN4MQ9+YTdYZ6BBCkEPe5KncEZ4vaJtEvqDpGWtjt4gUIZQQLQ3A+P4Us+htFSKsFJgSVwyKs/mw+6aSTnlALfAwGg8HYvcFkLYPBYDB2G4B4fOlLX+psadYn4SBYMPGLCqhyQJxhAodo3rBZgNoTyi0/gkdXxM3NzdGTnvQksQ0ck8gtW7YETkZ1QPGHbb5QBasI2O3Cs5/9bNq8ebPz98knn0yXXXaZ6xhMuPHCdSHSPHD77beLMl2/fr0gyaCQDAIiiSuALAFJdtBBB4kJMJSXiHoehOc+97kiXRDdiiiDKhrnBGEA9aWCTsJ3AiD79e3X+lbmf/7znw5hAHJLRSAHEBFdRUXXyxpAtPef//zn4j1Ic92yY3dAM20CynEsQECVh2NXrVolVGxQ5eqLKIqcPP/88x3FKu4bqNxw32LRBIQNSBdEbse9+JKXvKTuNYPEueCCC+jCCy+kpz71qWILNCLT4/782c9+5lJAIsq9F7gW/B71D6uERpWB9YB8gQBT/RUWf3C/PP/5zxd9C5T8iGoP9X2QkrxdgLoe9xUsKtT2ddQb2ikU+fpiCUhRLJh0AlgkO/vssx07jYGBAdp///3pkksucR2HfhLkHNolCFIAOymQD7Qn9J9hVhl6X/WLX/zC2dGAV70dGOjLcD9DmYnFCihaofpEPwdSW1kYoG13YhfCrgJ2evz0pz8VpPmDDz4oVK1YqMTiCxZNoDrHzhI8F0Gu60Ados1i0VLvu9HPexdOgoC6fMc73iHuXwBtcMOGDWKhqK+vTxDI6I9vuukm0VaRpgKe2bBZwSIlFkNwvaifpz3taQ5pC7IWn/tZJzAYDAaDseTxWJvmMhgMBoPRCLxRqtXrZz/7me/xQYHBLrrooroBTb7whS84xyOg0H777ed7nB4F2xtg7DnPeY7vb7yRwxFIq5UAY1ECtKjjH3jgAauvr6/mewQle/nLX+76TMe2bdus7u5u33MjIne9a0dAmTVr1oReI6Kc6/AGGPMiqAzD4A14E/TyXr+etyjl7HeNQUHh/KDXtTeoXdTfedMLqp9m2sR3v/vdumXxjne8w5U+IrQ3Wu5B8LaNoNdpp51WEzBQ4V3vepfr2JUrV/oeG9auw4Jpod/w9g/e1/T0dKT2HNSXRQ3mhXyde+65odeyfv16a8uWLa7ftfOavIH5gl7q+KA2hnp61rOeFXh//PSnP/X9HYI9RglC9oMf/EAEpgu6vkwmI64tSln45Vt/RuzqPkAHAs3pwSiDXn5A4Ervcddcc03NcWHt0zAM65WvfGXd9P3y7v3doYce6nz385//vOYceP4wGAwGg7G7gAOMMRgMBmO3AhSu3i3SCLTip5wLA9RtH/zgB+mUU04RXnhQa2HLMlR9UAfBuxbqTwVsrYSnJXwSoSjC3/DGgzIOisEg/OhHPxK+njgvlFjw0cSW37CAMJ0GrgGqSKjqkG94lEI9hvyhPIKAcoZiEeqlZvx2ob687bbbhA0AtskjXVXmUE1de+21dOmll7aYO8auahNQu0GhjPsFAfmghkN9QlkHZTcCQ33mM59x/QZtH6paqMwRcAtqeWydhhISaeN75R1bD7gXoZqEOg+KcZwP7RLngzoQCr1vfOMbQvGstvt7AWWk7ukMBWHQsc0A/QTSh2oQFgi4h3B92G4OD1ZYQewqyw/kC9eBbe2nn366UCGjvqBuRV8GD2+o3aGQXiqAwhrXDKUvyg27J6C6hdo77DrhiYzAiuhz0O82inPPPVdYdrzxjW8U9wbqES+083//938XKvAo6u+lDviyIy9QgEPhrJ6DuH9w/0OJjT7bD14FOn6j7ISiAvceLHFwH59zzjlCLYv6Qr+w5557CuU9fGf1HS9BSln0Rwp4Run3Ne47tAUGg8FgMHYXxMDYPtYXwWAwGAwGg8Fg7GrA/gBEjtouDUsAr30Jg8FgMBgMBoOxK8GetQwGg8FgMBiMJxSgzITfJlR9iqiFgpiJWgaDwWAwGAzGYw1W1jIYDAaDwWAwnlCA9YkeGAlbr0HgInAgg8FgMBgMBoPxWII9axkMBoPBYDAYT0jAZ/eEE06g6667jolaBoPBYDAYDMaSACtrGQwGg8FgMBgMBoPBYDAYDAZjCYCVtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAaDwWAwGAwGg8FgMBhLAEzWMhgMBoPBYDAYDAaDwWAwGAzGEgCTtQwGg8FgMBgMBoPBYDAYDAaDsQTAZC2DwWAwGAwGg8FgMBgMBoPBYCwBMFnLYDAYDAbjcYvS3AbacdOFZFbyzmeFqbtp4tbP0I6b3k/zG3/h+zujOC1+V17cuguvlsFgMBgMBoPBYDzREbMsy3qsL4LBYOw+KFUK9ODOO2l8YRsVKwVKJdLUlxmkfZYdREPdY4/15TEYjMchZh+6igoTt9h/xOIUT3RRsnsFZUcOo+zYkRSLBa89W2ZFELXxVC/FYjHx2fjNn6Ds2FHUveKpFEtkaP6Rn5FlFGhw/1dUf2eZZJYXKZ7qplgs0flMMhiMxxWKj9xPO77wAcoeeAQtO++9j/XlMBiMJxDu2HITbZ15RLyPUYyyqW5a3r+W9l12CCXiPKZhMHYHJB/rC2AwGLsXbt38VzItgw5ZfQx1p3oFYTu1uIPKldJjfWkMBuNxjPTAftS/9zlEBBJ1gUozDwhVbGHqLho84BW+hKplGhSLJymR7nM+M40imZVFygzsR4l0f2B6IID13zEYDEYjWLjxeuo7/jRauOl6qsxOUXJgmAuQwWDsMoz2rqBDVh1DJlk0l5+iO7f8XXx+wIrDuRYYjN0ATNYyGIzIKBslms6N09HrnkHDPcvEZ13pHhrsHhHvMQiA8vbIPU9wfmNaJv3xvmtov+WH0ZqhvenvD19PfdlBiscS9OjMBorH4rR2aB+x0qunc/+O22jn3BaqmGXqTvfSfssPp2V9q7i2GIwnKHTSNZEeoFTPakr1rqXpe79B+fF/Ufeyo4VtQd+6M6k4cz+V5h6inpXHU7p/L5q+539p7Kj3UyW3TbwHpu+1/0317UXl+YfFe/weGFr/ekpkhmji1kto+JC3UKpnlbBTwG8HD3wdLWz+NVXy45TqXkn9e7+Akl3VXQULW35Pue1/IzLLlBk5lOLJHirN3k8jh/6/x6DUGAzGYwGzWKDcrX+lFe/4JBnzM7T49z/QwLNeYH+XW6CpH32DCvfdRlapQImBEeo/5WzqfcozaMd/f4RSK9bQ8Dmvd85lLMzRlg+/gZad9z7K7n8obfmvt1DvU0+mysR2yt12I8W7emjgWedQ73GnOL+pzEzSzDX/Z6dRqVBq2WoaeuHrKbPnfo9JeTAYjF0PzLUyqS7xvivVTVtnNtLk4nYiOpywufrhiXvo0ekNQniDudY+YwfTioG1gefLlxbpnm3/EnNB7D7KpnvogOWH02jvSrrhwV+K+dxeowc6x8/lp+lvG35DT9/3dOrJ9NG1d32fDl71ZBqf30YTC9spm+qiA5YfQcv6Vzu/WSjMijngVG5c/I0546GrnyKuj8F4ooE9axkMRmQkQJbEk4JENU2j5vvVQ3uLh2+xXPWGHJ/fSoZl0Ir+6sMf23KwBefYvU6h/ZcfRg+N3yV+B2DwcPPGP9FMboIOXXMsPW3f0wRRiy08DAaDoSM9sI+wQyhO3e18tvjo7yg7fBCNHPqf1DV2lOv4VO8eNHLY28X7gf1eRqNPeo+wPsgMHyqUu/gbLxyn48Mf/jBlBvahFcd+gr72xf+ivj1Op5GD3ywsGeY2/Ng5Lj9xKy1u+QP17fFsQfIm0oOU33lTxyvtkUceERYPeJ100km0FIAyU9f0rW99K/Lv1q1b5/zu8Y6lWG+7E17zmtc45feHP/yBlhJA1IIgTS1bRT1HHU/f+OqXnWt972teRuUdj9LYee+jle/5HA2/8N8o3mMvRPUeezLl/vVnsipl51yL//wTJQaGKbNfdVF7/g8/p/TafWjFOz9NvU97Nk1d9TUq79zqEMU7v/RhMmanafT1F9CKd11Mfc88EwMs8b26DtxrDAbjiYH5wgzN5CeESAbYMHGPmI8dtOooetq+z6F1IwfQHVtupKnFnYHnuGfbzWJ35TF7PZOO2/c5tP/yw8W8EP3JmsG9aMuMvfCtgL9hkQeiVuGhnXcJQvi4fZ4tSN7bt9xIpUpRfFco5+jvj1wvdkpBGPTUvU8V5wUxzGA8EcFkLYPBiN5hxOLC/mDL7CP0u3uvpps2XEf377hdDACAoe5R6s700dZZ2yNJPaiX96+hZCLlfNabHRBKWjy8Vw/uRf1dw8JKAZhc3EGz+Sk6Yu3TxfYdrKRCUTvWt5JrisFYwtBJtnqvdhIrieyYCAamkB09XJC0yewwJTKDNerceKpHvJ+dL9G73/thOmD9obT84FfSHke9ifbZ/1A67Xnn0IXv/yAtLi76ppcZPliodZPdy6hn1QlUXthElmkTK/ntN1LXsqPs9LtGqXfNMynZtaJteX08AHUPIhevW2+9taMk8ate9SrfY6699lrnmP32Y6Whju985zv09Kc/nfr7+ymTydDKlSvpyU9+Mp133nl04403tr2+Hq9YuPH31H3U8eI9PGutUtUqyizkKL16HWX22IeSw8soe8Bh1H3Ik8V33YcdI/7N3fEP5/jFf/yReo8+ybWAkV3/JOp7+rMpNbaC+k8+i+I9/VR44E7x3fc/9ym6+Nd/ov/eVqbt8aw4pudJx1Fm3f67LP8MBuOxBwQz193zI/rt3T+kvz50rSBF140eKAQ3D4/fLeZ0IEwx11o9tBetHNiTNk8/FHi+fDlHg92jQu2q5mdqp+Wqwb0oV5ynmdyks7Ny2+wmcV4dOA7pYA6IXZeGWRHzPmDT1IOUjKfo8LVPpYGuYXueOLQ39WSCLasYjMcz2AaBwWA0BChkx3pXiS0ws7lJmljYRo9M3EsHrzpaPJDXDO5Nj04/RHuNrhfbaibmt4nVUR0ISKYjk8w6q6rzhWmxLUZfhWUwGIxQaCRGsqe6nS4I+UKZTn/Oi+meex9wPiuVK7SwcSNt3LiRfvvb39IbXv8yysrvXve619GJTz2I5h/5OR3zvHOd38RTdj+FQGQghiuFcepa/hRXWqneNcKS4YkGlNkpp9jbsvfff38XWfuRj3zEIfiPOOKItqb70pe+1Dn/NddcQ8ViUZCOOn74wx8671/ykpfQYwUQoTfccIN4PzAwQI81UG4gu3Vs375dvG6++WbaY4896Nhjj33Mrm93ARSupU0P0tjr3iX+jiUS9Nyzz6b9jziSBp/9QlpWnKPctVdS6dGHKXvA4dR96NGU2esA+9hUmrqPOoEW//57QbCWNm+g8rZN1PP6d7vSSK/a03kPEjfRP0jmwpz4+5pfX0vf+8vtRH+5nZ556qk1ClrV5rJZ1cMxGIzHI0Ckrl95FBlWhTZO3i92KWIeB6sB7Hr858Y/uo4Hwdqftedof37wV0LpqsQ4R+15Iu05sh/dvfVmmlzYTiO9K4QYB8QtgLnbaN9KIdKBPR6IYtOzsxJQxwPJeFKQsyWjIP6G+AdKXKX+ZTCe6GCylsFgNAxYGED1itc+yw4WXrUPjt8pyNpVg+vo/p23CxsDvOBpO9RT9XMEvNtbMXiwyHL8lRgMxu6Hq666igoFe8ANnHvuuYLkAb7whS/Qk570JOe7Qw89tG3pGvmdwl9WIRZP1/3Nj359p0PUHnnkkfQfrz6BhgeyNGXuT7fccovIiw6QVCsGKzQ9eBuNLfdTytr9F8NdZnjtahxwwAGCAIZqd3Z2VqhozzzzTOf7SqVCV199dUfIWqixe3ps5XYUgESGinUpYGFhgS666CLxvquriz760Y+KcpyamqIHHniAfvaznz1urSkarbcogcXINITPrEKXZdHhyRStPupIind1k/GUp1P+7n9R4f7baedX/ktYGQyd9SrHCmH7JecL39mFv/+BsvsdQslh9ziKEj4BFeVW4VidSO9Lpc0xGIzOAhYFSvyCQGNQ18KjtjdjLw4eucfxlEnanrYKcdl/HLXHCYK8tc9jf7ZmaB8a6V1JE/NbhX0drBTgWbvniL0gi9gkdzx6Ex244gjaMv0wrejfQ1yDDt/niBxC8RyQwXCDly0YDEbLwEMf21iAdDJDy/tWi5XVLTOPCJuDRoAV10I5T4vFea4ZBmM3ArZKgwRQL13NCHJWff7Wt76VBgcHKZ1OUz5v+1s/+OCDzrZ0Xdn34he/WHw2uO+5dN9DW5zPcfxrX/taWrtmJa086u2071P/k04//XS64R9uv7Qg3H6fTSIDSO+c551AJxy7XpwTxDLUtStWLPf1rP3Wt//Pda5vXnUz7b/+SEFwPee1/0vX/fYXLi/N3//+d86xulckCDCQiL29vTQ8PExvfOMbXWQ3CKQ3velNolyXL18uygvqy6c+9an0v/9rB0erB5Tv+eefL7b6oz5ASO211170ghe8wEVY+uGd73ync73XXXed8/maNWtqPFa/8pWvOMfifZBnLd4r1SuA8g7ztZ2YmBBlOTQ0RH19faI9gDyMoq5V+MEPfuD67ne/+51zDrTLgw8+mLZs2SKUwIcffjiNjo5SKpUSdfLMZz6TfvKTn7h+D2WwumZc249//GNBaqJ8P/jBD4oyVnUMD3YFwzBobGxMfDcyMkLlcjnQs1Yvu29+85v0+c9/nvbdd1+RBq7x+uuvr8kzFhgOOeQQoZbEv8h3I77Bd911l1AhA6eddpqo/5NPPlksurzvfe+jv/3tb/T2t7+95n498cQTXedB2SaTtoehWpTxlhkI9KOPPlpcKwh93HN+bfcTn/iEWEzBPYJyRV2hjP0AEh4EM86H8z7taU+j2267LdCqZdOmTXTOOeeIewrlpYAFpv/8z/+kffbZR5Q3+irUja7GBrx1949//IOe8YxnUHd3Nx3wsvPoixMxWvaOT9KKd31avH6zxzG0x8VXUKK7R9RLorefJpato7FXvpX2uPhKGn7+q53zZVbvSXt+7gd00gknCP/anqc8Q9THcccdJ9TYe//XV2nVc14oyuaSSy4ReQc27dgpfv/d3//ZuU5ck9d+JsiztlQq0ac+9SnRnlHeyAva2yc/+UnxXVBZosxe+cpXNnyfMhiMXQfcq3uPracHdt5BvZl+oV6FchZkrv5CIDIAYhv1WVZ+Jj5PddPa4X3pSXs8XfjcgvxVGOtdKcjZzVMPiZ2XazwWCPXQlx0QOzcVScxgPOFhMRgMRkQUywXr7w9fb22Zftiay09bi8V5a9vMJuv6e39i3fHoTc5x4/PbrGvv+oF17Z3ft/KlnOscN234nXX31ptdn/1r4w3W7Y/eqB1zvfXnB34lzoM0ds5tFS8Gg7H7YM899wRTJV6///3vnc/f+ta3Op/fcMMN4rPLL7/c+ezUU091jl27dq34bHS435q655tWpThn/fXPv7P6+nqd4/VXLEbWpRd/wHUdxdmHrO03vs8yynZfhH/f/PJjnd887WlPs6658mLrkb98zCrndlpGacEyjYpVKUyJ35UWtlgf+tCHnOP/9+v/45z74k9WP1evVDJurT9gb+fvH3/1NdbE7V8Ux6vP+vv7rZGRkZrfXnjhhc65t23b5ptH9frIRz7iHPvwww87n5944onO56973esCf//yl788tP6uvvpq59iPfvSj4rNNmzY5n3V3d1vlcll8/spXvtL5/M477xSf6WX2zW9+05V/v5c6Rm8369evb/i6gY0bN1qxWEwc39fXZxUKBd8y+fjHPy4++9vf/hZ6bd/+9red36Mtq8/32msvJx28kOdXv/rVNe0b+NOf/uR8ft5554XWm152e+9dbUvqhTxNTU05x//oRz9yXYd6HX744TXlG4S77rrL1T6/+tWvWps3bw48Htdr33MxUd4K+r38iU98oqbMUL/xeLzmWn/7298655idnbWOOOII37rA7xX0svZrK+vWrXPaqLdt6eWqzrlhwwZrxYoVge3gggsucM6l193KlSutrq6umuO/9rWvOcej/J3zvOwca/H2v1v3//Pvoe3u2DXLrM3ve41llopWJpMJPO61r32ttfXT77Ju+9YXQ8937XcvF9fiV5a4R0444YTA3+K7YrFYtywbuU8ZDEbngHkV5lc6DNOwfn/vT60N4/dY92+/3frdPT+2Hp3eIOZas7lJ65GJ+8TfQcD8bXx+q3P83x76jXXrpr+4jrl/+21iDnjDA7+s+f2v7/yetX3W/Vy57u4fWY9ObXDmmbimf238szWTm7QWCnNizrlQmG2xNBiM3ROsrGUwGJEBb6GBrhHhe/T3h6+nvz74a3pw5x3Cp3b9yiOd40Z6lgsfWvgZwcOoURyx9jhhLH/7o3+jvzz4a7p/x21y/M9gMHZ3nHDCCc57qPX0f4GbbrqJTNMUasfNmzeLz4598oFUmn2Axv91Eb3mlS+m+fkF8fnZZ5xMP//5z+gDH/gAxeNxEez8/As/6fwu8BqOqSrK/vKXv9CZLzuf9jnhg/TkIw+nC958Gm3beEvdfMzMzNCH/uvTzt9vfvOb6Re/+AU9/7kn0T33VZUm6YH9RWAzHXNzc0Jl+aMf/UioARX+53/+x3kPVdt//dd/CYXkb37zG/r9739P3/ve95yAWBdffHGN2s2Ln/70p+LfPffcUygvcR6ochF4Cyq4MBx//PHOdkW/esrlco5y8a9//av4F2rUgw46KPCc8MqEmlYBik18hheU0X5ljIBXX/7yl4WyGEAZwN4gDFBXQoEMzM/P069+9SvxHgpEXSmrLBBWrFgh1IOoD6iIUdbf/va3RR0BH/vYx3zTefjhh4XyGapLnBdl9vrXv975/oorrnDewz/XT/lbDxs2bKALLrhA/B4qR5WnK6+80lHsvu1tb3NUvFDCoh1CHepVloYB7UrZVqB9Qum9du1a8UKd6XUPqHwi3e9+97u++fSzmIBq/YwzzhC2Cvr3etu/8MILneBzaFOf+9zn6Ne//jV98YtfpAMPPND3+qH2hSoUSmdcs1K/QsXrhx07dtBnP/tZcU+gHap7WFm3QC2LvOAY5e2K86N/8mLbtm1C5Yr77d+eeZxvnlyIxWnmF1dS7IrP0o9eeTpdc8Eb6fc/v0a0PSjXFU7aZzV1P+lpwscWZYJyRjn88LVn0Xc++j56ylNsf2yoprfOzNPyoSFxL0EZrfCRU46mq152Kv3kLS+nIw6uKoi9gHr7T3/6k3iP8kP7QnqqTeA71IMfoIJu5j5lMBi7FlDT7jG8n4g1stfYetpn7GB6ePwe4U9788Y/0fjCNuqSQVj9YdHd2/5Ff5HH96T7hCeuDgQEgyVLozsr1e5MxDnBbs1/PHw9/W3Db4RyN8YetownKh5rtpjBYDz+UK6UxEqpd/WUwWA8cRCkrN25c6fz+dlnny0+Uyq6gw8+WPx7xx13WD/4wQ+c4z772c+K4/71r385n0EBVyqVnPOec845znef+9zn6l4fVHJ+akS8xsbGrAcffNA51k8l+v3vf9/57KijjnKOhZJvzZo1znfXfOt8a+aBH4jv9DRuueUW5zcHHnig8/nMzIzz+c9+9jPrWc96ljU6OmolEoma67zttttCFZpKJQiFJdLTFaZRcNBBB4nfDw8PW6ZpWm9729tc9fTFL37RVZ9nnnlmaJmFfe7XbqDuVXjOc57jfH7rrbfWvXZcmzr+pS99qfjsV7/6lfPZMccc4zr+W9/6lnX88cdbg4ODvu0Cak+vSrS3t9eanJysSXv//fcX30M9rdroAQccID5btWqVZRhGZGXtWWed5Xz+ve99z/kcdQHcdNNNgffEscceG1lZC/zxj3+0li1bFqiuvPTSS51jc7mcNTAwID4/9NBDxWdQXkL1K1Shxx7rHKuXGc6v2uH27dudz9EHACgbtDdHDXrttYHXqytrodhX+OQnP+l8/vnPf963bV122WWuc6EeVb1DxToxMeF89853vrMmHb3u0um0yIu6fqjO8Tnakp+yFvXrBe4vtFN1zCtf8mJr49tfZBU3PSS+//Of/yzaAuo4mUzW1M1Pf/pT33LR+14FP2XtYYcd5nyOfkcB79Xn6EfafZ8yGIzHF6YWdgplbaGcf6wvhcHY7cHKWgaD0c7FHypWCvTQ+N2UTKRorG8Vly6DwXABakWljoNaD4GN7rjjDqHggpeqUmoqtSYAxSJw//33O59ByQZvUYVjjjnGea8fFwQoKW+//XahyoVCDT6bCuPj4+LzeopHBaVws4wSFcdvpCcfeZjzXXlxK2XHqsHVgP7+fuELqQAPU11NCkAhCAXib3/7W+HdCgWlF+rYICj1IxSWCPAGH0ooX9/xjncINWBUFTT8J1GmSl0JJWdYPbULuh+qXxmFAQrThAzCBBUn/IB131Fd1QnFILxUoUrEuXWv2bA04YsK5acX8L8FJicnhRIS/sT33Xef+Ax+nlCBt6sM9HbovSeUujgqUN+4zq9//et01llnudID3vOe9zjpwqNZKYRx/+IFT1SofsPUw8cee6zjZ+2XH7R15XeK40455ZSOtBXcWzpQR6re4Vern6Ne34L+DL7SAOpWqdajtFMF9DdKoXz8046jTz77GErvuT+l1+5Nf//734X3LJS7UP4qj1odjaTlBz1fqj+L2q+2cp8yGIzHB0zTEB64CDi9on+N2GHJYDBaA5O1DAajbcBD+g/3/ZS2z24UUUex3YbBYDCCSEAQD9jmDyISxJIil0AKKmIQwYVANNZDM5HqEVgIVgM33nijIIne8pa3ON/961//inweJ+1YjEoz91NpvhrorHfNyZQZ2Nd1vNeCQCeKFWH0pS99yfkMRCK2a4NMfNaznuV8DruIMMBiAQQQiMsDDjhAXOc999wjyMlTTz3Vl/QJsqyANcAtt9wiSCkQnSBC9XrqBFmrl5NfGYUB1wmCC8CCAIguZYEAQu1FL3qRcyy21yu8+93vFkHIUNYqQFZQWSuCzotXv/rVzvVie7iyowBe9rKXUafKoJl7wAsE1ALJj7LauXOnsFQAMau2u997773OsbrlA/KpLBDQNkBKtyM/UfPUaFsJqjs/1LuGsPs5ChBE7uMf/7h4v++6PelLh44Rbd1Iw+f+u/jsq1/9qghIBzzvec+jX/7yl6J9ws4kal/QLKKUfyv3KYPBeHxg2+wm+uP9P6eKUab9l9uWPQwGozUwk8JgMNoGRA599sEvphMPOJNGeqNPhBgMxhMLOqmnfBBB1EJ1p6KWgxgEEAFdKST3339/53f4XicbdS9J/Tg/QKkGclYHosKfd955zt9+SlYdUN8pIBI8EIunqG+/V9HtD9jqQiDd37hvGwDPXp1MBEmLstA/jwIQqyDEQbJB9fjCF75QfH7nnXfWVSDr9fTf//3fwiMX9QQCHUQ3PEEVAQrV7lFHub3r/KCrSjtFMCno6s7zzz/fUWwiX6tXr3a+U2UKVSB8SZ/5zGeKBYJ6ZR1EZMEDV3nwQtWrFJP77ruv8LhtJ/R2iHtCb7den9kwoGywaOGtK+RD94nVz4+8HHaYrSJHHpFXACR5I2SojtHRUYf8gxoaPq6dgLfuUDfqs4ceekioopvpWxoFFgbe8IY3iPdQaf/yN7+lw77yE1r1vkspvcr2i9Xb4UUXXSQ8aZ/+9KcL39123WN6vtA/7oq8MxiMxw9WD+1Fzz74RfTUfU6lbKr7sb4cBuNxgcaWfhkMBoPBYDBahK7YBGkIgAQESQMFqK7e0wlDWAesX79eqEOxjf/lL3+5UJ2CULj66qvFMQhwc84554SmDwUgSOKzzz6bTj75ZBGAC8FwEGRH4eijjw49B8hTBAFDoC2QG7AGePazn03/93//R48++ii1ClyTIlM/+MEPOue+++67I58D2/RBOmIrM8hJkLX674vFYujvEexor732EoG09HpS/8JeQW3vB9EeRVGoq/AQ0Avnx9Z9lLfaHt8uwFbjTW96kyCZ9aBz3sBXKGtsgwdBB3sMEJCXXnqpQ+42A6hO0c6gRlUq7UYCi0UFrA8QEAr527p1q1Bb4r5AYC0v+RoG5FUtmOC+gKoY9XL99dc7wb5QP4qc1fP51re+1VW+reQTRCPUx1gcAPAeFgEgjGH5gDKFsrTdAFGPewy2FbgvoLx++9vfLohbBM5SaGcd4v5GX6VUs7AnAQGrSFgsIKEe0D51shbKbQTNCwqept9jUDxjsQsvELxBQDnDFgbADgP0FSCvYX2h0In2y2AwGAwGIwCPtWkug8FgMBiMJ06AMYU99tjD+T6bzTqBkV772te6Auf84Q9/cP0OAZVUECPvCwGCvvzlL9e9tgsvvDAwiJIKHIUgZ/WCYiHwmfe3qVTKFTBMz7tfYB8AwaXUdwhcBPzwhz+sOTfKCcHMvOcOClS1zz77BOYRwcMqlUrdsnrVq17l+t2f/vQn8fm3v/1t1+cf/vCHXb8LKrPbb7/dN4CXyrfebnTUC5oUBAQ909NBcKbx8XHXMRdffHHN9SComwoKpl+fHiwL1xQEBJpTAd7U6+6773YdEyXAmF52QWn/6Ec/8i1TBP7yO48fHnjggdB7wq+OVWAuBOTSg21NT0+7jgkrM797AkH29IBX+ks/LqhNBAXzCmpbCg899FBNnekvBCWsV3dB6fhdk/6Z30udF32et37x91Of+lTf+tWDgumvsDJH0DcE2Au6lhNOOEEEkKtXls3epwwGg8FgMNxgGwQGg8FgMBiPqboW2+dVYCQ9KBJUsnqwGwAq0Ztvvlmoy6AWhZoTSrLnPOc5wtcVSsp6eOMb3yisBRBkCFt7+/r6RPoIcvbKV75S2Bpgm389QHkHBSDUoVAdQuUIj0992zjUt80AdgX/8z//Q/vttx9ls1mhPIXqL8p1Kbz3ve8VgaKgzMN1II/r1q0T+YdiUtlLRK0n/F5t4/cGr4rqVwul4OWXXy4U0u1W0vrBqwaEkhpb7b31+LGPfcwpp5NOOkmUD+wMmgXaJdqowuGHHy7y3AlAQQyrCwSPwz2DdK688kqR16jtEHlHUDtsyYeCfdmyZSIP8LBFeVxxxRX0oQ99qOZ32Lr//Oc/3/kbW/Txm1YARSksHOC5jHKDZy6uH/nSfVrbjb333luooP/jP/7DUXwjGCDuge9///tCdf1YAH0edg7g3kFfcPDBB4tgefCd9gN8bS+55BJhkRHVPxf3IoIZKmU5yhxpIU2oedG3om0xGAwGg8HYNYiBsd1FaTEYDAaDwWA8boAhlNf7Elvu4X+JbeH4bnx83BUhnfHEwZ/+9Cc68cQTxXt44SJ42a5qhwAsDZTnKEjIKIH6mgHId0VMg9TUg7cxGAwGg8FgMBoHe9YyGAwGg8FgNAGoF//yl7/QueeeKwja7du306c//WnHv/OUU05hovYJCPjUzs3N0Ve+8hXxNxTM8ATtFG644QaRFvyboeqemZmhyy67zCFq4QMNhWq7Ab9m+Px+85vfFH9DUQu1OoPBYDAYDAajNTBZy2AwGAwGg9EEEBgIJJki5XRgC73f54zHP2AF8Mc//tH5+3Wve50I1tYpmKZJ3/ve98TLC1h8fOtb3xKBu9oN2C5s3LjR+fv8888X2+cZDAaDwWAwGK2BPWsZDAaDwWAwmgA8ahHNHV638HwEUQU/SZBWt912m/CMZDxxAW9ceMB+/vOf72g68Fp9xSteIdobvF3RFqH0hn8z2iHsEDqJlStX0oUXXkjvec97OpoOg8FgMBgMxhMF7FnLYDAYDAaDwWAwGAwGg8FgMBhLAKysZTAYDAaDwWAwGAwGg8FgMBiMJQAmaxkMBoPBYDAYDAaDwWAwGAwGYwmAA4w1EcRh69atImBDLBbrTK0wGAwGg8FgMBgMBoPBYDAYjMcFLMui+fl5WrVqVd3gr0zWNggQtWvXrm2lfhgMBoPBYDAYDAaDwWAwGAzGEwybN2+mNWvWhB7DZG2DgKJWFW5/fz89nlGplGnj1o00PDJMyQQ7ZjBag2laND05RUMjwxSPsyqd0WL/VC7R1PZNtGrZMkomM1ycjJb6pompWRodHuC+idEyKqUC7djwCC0bW03JFPdNjNZgWhZNzM3TaH8fxXlHH6MFlMsl2jIzQWPr9qJkOs1lyWitb+J5HaONqBgmTU1O0Z6r9qRkMvW4Ltu5uTkh/lS84uOOrH3wwQfpkksuoRtvvJHuvPNOOvDAA8W/USTHn/rUp+jLX/4yjY+P0xFHHEGf+9zn6Nhjj42ctrI+AFH7RCBr++Z7aXBggJKJ3bKpMJaYhYhRNmlwYLCu5J/BqIdyuUClhR7qHxikVCrLBcZooW+yqFQhGhgcYrKW0TIqhRzlentoYHCQkmnumxitk7UlitPA0ACTtYyWUC4VabaSp4GBAUpx38RotW/ieR2jjagYFSqXSoJfe7yTtQpRLFV3S8bkrrvuol/84he077770kEHHRT5dyBqP/ShD9Hb3/52+vnPf04rV66kU089lTZs2NDR62UwGAwGg8FgMBgMBoPBYDAYjMclWXvGGWcIG4KrrrqKjjzyyEi/KRQKdNFFF9E73/lOQdaefPLJ9L3vfY+Gh4eFSpfBYDAYDAaDwWAwGAwGg8FgMB5L7JZkbTNbqP/6178Kf4gXvehFzmfpdJpe8IIX0C9/+cs2XyGDwWAwGAwGg8FgMBgMBoPBYDSGJ4wR6b333iv+hb+tjvXr19OmTZson89TV1dXze+KxaJ4KYDwVT4teD2egfzB5xd+fmbMnde5yUWa3zJDYwcsp3Rm1zQjyzRp2/07KdWVobE9h2hXYXE2TzOPTNLI/sso27XrDPm3P7CTYvE4Ld9ndJelmV8s0tQD4zS0zxh192U61J5q75udD0+SWTJo+X6jIs+7AqVimcbv2UH9ew5T31A37SpMbJ6h0nyBVh64bJfl1agYtP2ubdS7epAGRntpV2F62xzlJxdp+YHLKJFMtPXclmlV+yfTcj43KwZtu307dS3rpeE1A7QrYI7P0/xCiTZ29dL6sTSlEp0NoGcZJlGuRFZPmu6drNBANk6r+zrXD1sLBaJMimIpuw5nCyY9MlumA0fSlEm2P6/mjlkYNVJ85aDr8/snyyK9PQfam1djOkeZjdNk9PYSZd0+WYslkx6YKtP+IynqTsXbVn/W5imKDfdQrL923AE8PFNGEdA+Q+3x7bIKZfFvzJM/HYWKRfdOlESafZnm82pVTKJCiagnE8mP69G5Ci2UTDpgJBXpeL/0zE2TFF/eT7GeaM+tsmHRXeMlWjeYpMFsY30T+h1r0xRRjCi+x4ivx6jom+RLx/acSVNFkw4cTOwy/1Fcw53TBq3qjtNoNh6pb6HeDNFCkagrRdbkApFhUnzVEFllg6wtUxQbq1/W4wWTduRMWj+YoMQuCiqKcr97xqCRTJxWdMej1+fkgrg3Yr3NeQxPF03avGDXa7qB/l/0BTM5ig12UywgkK/enry4d6ZCPckYre2t34atikHWpkmKjfQS9WbJ2jmHG4FiKwbIenSKKJO06zUd3r/Ol03aMGfS/gMJ6orQ/yN/1swixVYOYSBoP0uaaA8PzRmEn+3V19j9aqL95ooUWzPccP+Sr1h036xB+/YnqDe16wLjblowqGBYtF9/oqk+MQiqLWH85B2LlwyL7ttZoD2H0tTfYJ/oYGKOqFgmWjUMM8ZIP9k2V6a5okH7j0Z7XvgCD8sN24l6skRoZ3VgmBbdvbNAq/tTNNzd4ngC9+XkvLinKBs+RxxfqNBEriLy2rY+MV8iGp+1851K+veJOwu0rCdFY73tHTtZ26epa+skmQP9NWlP5yu0da5M+49mOzMmnlkkQpc42O20NeT1vokiDWQStLK/g56naG9o63gG9mRprmDQxpmSqNdMssPzunyJYg/vIGvtKD1YjFEqZtHKCP1/W1AoU3F6kTbGM7R2JENdbc5rxTCoUjEol8tTMmmPWXdXJBIJSiaTgX1aIxziE4asnZ6epkwmQ9mseyA2NDQkbm5870fWwjrhIx/5SM3nCFAGa4XHMwyjQgtzCxSPYaDt7ghyt2yj7kKRdm6bptRhyykpJ/GdxMJkgXof2C7eb5ieo4E19SPotQPzt++gvsU8TW+dIjpsxS4hpwvzJcreu1W8f2h6ngbX7RrSafbuCRqYXaCFLRM0fehKynan2kq2z80tiIGNTlKWChVK37mFEmTRhqk5GtxvmHYFZh6YosGJOSo+Ok6zB62krv70LiFNY7dvoYxp0sMTc9R/4PAuIWxnHpmlwW3TVNm0kzYdsIJ6hjsf9Ab1XbllC2UMgzbvnKGeQ8baGliuUinRwkKRJqZmKZnIO5/Pb5ynru1zNL9jlrYbFRrr6Wz5JuaL1PXQBBVLRPcOjdF9O9P09BVEnRqvJUEsPjpLMcOkHcsG6YZSj/j8mDGiNfbbtiIxm6euh6cIs+Tiyn4qj/XSn7cT7SwQ3bktRyetJEq3sfuPlSrUc/cO8b4wv0iVYXshZaZI9Ptt9jFHDBPt3a74npZF3ffspHi+RAv3bKbSWvdE7x/jRJsXiW7dSnTyKqJsG7r/7MNTlJzNk5lJUu7AZTWT2lyF6LeP2vOQrYNEB7o568ZgWZTdNCPaDepwcf1ysgKe17dPEj04T/TPLXZee1Ot56+w1zCZIQRx2ST69WYiwyLaPEl0ePQ5voP09jlKb58n2rCDFg9eEZg/HffOEN09Q3TTo0TPXEU02ED3n1goUteDE+J9jipkdrt/bJSLNF80KDE7T4lk0TW/+/XOBJVMjGEsOmbQbDivzeDhXIxunbU7pOOHDRoN4Vi7H5mkRL5M5cEuSs1U+1VgIWlRdsc8JecLRFunaH79ilD+4rrxBC0YRPdPWXTcsElR5uvpiQVKzRYot+cQWU0s8G0rxOjGaTuvxw6ZtDJbS3B6Ec+XqeeRSfG+ONpLpTG5oGlZlJwrkNGdrtum/jiRoKky0d2TRCeOGJH7/+zWWUrN5qk80EWFVf7jPIssml1cFIsDMfxHYrJE9KdJ+7qOHDBpz+7wvKbHFygzsUC0fVrcm/FiRXxu7pimeNkQ743xWcrtGT4GQ/minG+fIHrGiEGZsKIxLep9cFw8r9Bmaso4IhYqRL8btxM6pM+k/Xrr16tC70PjFKsYtJi0QvsiP9wyG6dHcjG6ZSfRM0cNapXXi4KiQXTtToyIibbMWHRIf/uEQUalTIv5Ek1OTVMy6e637pky6YEZk27eTHTSmgT1pRvrnDLbZ6lr64x4v1AqUqUvG4k0vW6TQVjf2zweoyPG4k0Rtug3ujdNintkvlQgo85C0oZZk+6cNOmf6BNXJWgo23xHnNk5R12PTou082uGqTjmPzcF13DdZlMsim7YGaNjlsdbXrBDX9z70E5xnxUnZym/tvbe3bJg0s077TZ07IoELeuOtW2sNnDXVkpWKpRLbKTiavfY6Y+PGjRbsuj+7Qt03Mo4Jdu4YBcvlqn/7q1ikFQe7KbFvUbFwGE8b9Hfttl92VHL4rS6t/0DcfQlvffvoEShTGYqQXOHrKa/bTdF2vdsW6DjV8UbWrBrCBb6052i3hcnZmn7QJ8Yu5QnMefo/GAihueEZVEPLdC2XEKIJ9qZKp51WEjamNvY1kWqxwK430HWIlgaiFsv5ufnI5/rCUPWNov3vve99I53vMOlrF27di2NjY2JCng8o1IpU668SMMjw5TUGhqUpjEwE7EYdZfLlNtepOVPWtPx68lteMS5eQe2TFPvASsp02GlK9SXsdxGkVeQTouPLtLKp+xFncajjz7q5HVo+wyl911BvYP+Cqx2wcRgen6TSDeJ6MOb5mnk6fu27/xYRYrFaHgEEderD9Ct926XE9YYDU3OU2zv5TS0vK/zROLcFpFXJB3bOEMjz3Cr7juBnRsmKYFZbCxGg3OLZORGaXRd58npwu07nPaU2jhNI/sf3PE0p7bOUlrWeX+uQMVpk1Ye0D6VeKVcJLM4TaPDA5RKZZ16NW/dSWYsRmnLoke2lWj9U1Z07KEPVZRx/0NUiSfIIJNWl4t0r9lN41aGDhvtTN9U2YBJQVywwYm5MiWlUuL2GaJD1vS2XcFgTBTIStpppCbzVN53FU09miN8hOXKLZUUHbO8feS/+egUmSq9HQuUWLdcKL0e2VqkZLIkPr9rDnntoZ506wNxc2KeDMOiSjxOmbky9Q/0OwriimnRtkcXRF4x/N9QTNKJK7paTs9cLJM6aXd3T41C8c6dJYfku3+B6ODV3TTc1Rwjbs3lyZjfaadHRMPxNMVH+30Hltu3LVIyaZMg9+cS9Ox9Gt9xgHvQuGuHk79swaLEmmCl04NTZYolCmIwuilPdHC2i1Y1qBKvPDTl5G9oqkiJg1fX/c0NE8irPYG9ez5OZx0QfaXD2P6oc08MLlQoscdy9/UUc1SZ2kmjA32U1CKub1k0yIyVCRzkzjLIzxTt3d/5he6bF0qUTNh5vT2XpBctD1awVe4fhySEkvMl8a+Okd4eMrfMkSU/HxsKXkSeLJhUIKRLNGMQTcWSdNBQ/XoV6YMAmSpSrDtNseHeyGpp4K5t1bzehntneX0Fm2ktkCnzlJzOU//eKyiWTJC5fZbMHQuiP0gcGTzuWyhbNLezKPKas4i2Whk6KqIi3invhRL1BZSnUNRaRKODAy5yZ8NOtCWbmLhzkeiQ5RnKhihdzZmik0+qWNX6RXHJ96l4gnpC6hXqy3GZV+ieNhoZetpoKry/wyhLa0spgygRkoYftk5WKJmwyeV7c6jXNA1E7P8rsQmR/nBP8E4G32tHnzhh5xW94oOlNJ081vlF/ftmKpSQeX24QHTwsjQt64o3PDbxU2qXS0XKlRdoZHiIkumMq/8f3z7r9In3LSTp2fs3MMctlCi2c4vTDw8UTKK96o9tN82UiOILYnFjW4HogFQvrW1k5cy+eIo9MF59BuxcJOvJK0JX/f4xOUfJpF3Gd80m6KwWdmHFHqk+f/omFqn3wD1804aqtkJIl2iqRDQb66F9w1bOIqX9IBHEVBgSLpSoe2SoJu3bZ+cdleIdMzE6d+1ge8bE922x25iVoL7pPPXuv5ZIzsmhNF000Z5ILNjtNLvo0GVtnMNuHKdYwi5z5DubzBIN9dADm/Bct8dOd87E6MC1g+0nTjfupBj6T2TOIuqNpWm6XBZ/Fi2iLeUsPXl5h3ZrTsxRLF8R44/pgQzt0Z+m3pFRSiZT1J9JUEe1P1htzpWwyUagnIiRmUpSdxvG4Qp41BmGQalkc7uslgrQn5bLZSHsBCm777771oiVvOLRMDxhyFooaGFnADWsXkBQ1KJB4Hs/QI2Llxco9HaqxJYikD+UTTwec+V19tEZ0ptYbHax42WBCWB6qroKEbMsWpjIUdeenVUITm+eJX0YmpzP75J6T2B7hYbFiUXqH+6AbE7D5OYZUa4K6YWcTWS2Mb92e3LfOxa2PGvITyzQyMrOKomnxxcpVbYHakA2VxATlniHt6+Uts24Ot3i1ALF9+6szcXiXIG6kD+JTLFE5WKl4wsduS0zpA9XjOn29hPYRlntn+yHenH7PFmlirPSu3punubLy2mwztbfZmHOFzF7FRNYpLkyn6f7+gZpZ85wrqmdENvLseVNIrGQp3iPRVYsJpSJUwWTVrbZDsGYyVX/qJi0ZbzgWknHNud25tWA8sv5w6LYXJ5iY330yGy1XoGJvEl9zW7V1NPbMmMPCvF/9H/bZym+p721feucO80di63n1ZxadH8wuUBxjwLJm9edOZNGe5qrV2OxquwUmM1R3Kd/3b5gUFG2Y5Hmoq36bHTAbM4WbGZDYb4QWmZ+eV0z0MA2cmzZz1e3y1lTi3WvGzYeMwVBIQlM5k1x/0RZ6LDyZbK0NmqNzwuFkW4vAUJN9E3y5eR1wXTntWDSvg1YepjzedvuYY8RsibmxZbbhMcqxAuouLbnq+nmykR5A6pp/7yG6WRimKyBGJHHhKnCNtbk1aJDIrQlJ32xdT5H1tYZSqxfRfGB+pNfLK7AikClgu4SXNBYV510Deh5tGM2T5FZKJFVMuzrKZuhecWWdVde81ZkxZxe3mG/8bYnTAb19iR2YhctWhti1WKlkqH1G+U6Hl305jW8bMydcyLNOFR3ibhov9hK26ii8BFPGU8ULBrKRLhfTZNsF7eYUPc2ku62nCmICadPlH1GvT5R2AwsFMUiA8YpxtZp7O+lxB7Rxnp+/cSK7ujPOmPbNJkbJ8VzM7FuzEXaqr4J16WPx6ZythWNwmTOEPdE5K36c4VqQaGMxueI1ouJZOjPNs+4tzpP5Azac7jB8drOWdt2B/YduOkX8hSD7Q8sEXywWDJofLE6/ocFQwkLi83YHMHyYT5fzTt2z+F55GOnsmnWndfxnEH7tzImNgzxfHWljfHaSFXsUjJM2jZfzWuxYtF8yaLBJhd/q2mbRNumRRsxUe6wrUKdr1smvt6EcYCGiUWMids4Dkdaenuby5E53OtqT1Bt4zm/oq/NdgizWn1jse5RqMmr83O0rY7xBNtsBXcJuz2SCVo1PEqVHru+k+k4pTs5hy2WyUrbVS/Si8Uol0pRth3bzbS+s1KpUCadphhEKbs5UqkUbdy4UeTJS8420kZ2/5KICOVVe99999V42e6xxx6+FgiMAEhyLTdqTxLS+aIYEHUSUzvmKVWpkBGPU27Q7pgK055JbwdQRseo5TVTKFEFT/UOYh7bnAtFsTqaG7En1WV483QY+a0yryLNGCXhG7NYJYY6gWK+RF0Y6GhlbM5q5FCHsIAtS0hzsE+0KZA0c14SpQMWCNnZBVdeYzLvncT0Rnt7Z76ni0ppe9Ayt1MjxDoA9AepyTlXXuMLnc/rzE67Dnf294ktQb2VMk3Odc73CBMyYDyZIQOLfjGD+iplMeHoSHrzkgjLJKmIRQ/TomVmmdZKwgcEZlvTy5dsr1OQX1LdNj1u35/wcAWm8oavl2JT6ZUqgqAB4OcqPlso0lTepPmiibk+7S0VaxNgnFpND5PqObtdlkdkevJv4OGZiiuvmMxistOONqPyB79jr0fuzkU7b/sNy7y20J5UfmKSEFbl68UjMq8oX5Rz2bRoDjKRRtNT9QfPU+l3jHIO8o3dMu8u40bzCuWeSE/51mEmIf15gwA/YGB1f5J6JGk5GbE9OeXZn7XzaMn7st7vLIs2zst6HUg4hJPvseUKGRt2kAmvaPVZxSDjri0iLePuLWTumCNzo23FEIaNC4Yg8oazMfEKS9cPsdE+py4FEaL5g4fh4Zq8Nt83mfDHiIAtOVNcYncqRquk/c1ksX66FkgPPb2dc2SBfKrTjnQiUc8r0gxq86509WMaXAQaL1iUK1tCkbhOerhO1MurZyIv6lV52KiFCqs+kajnFduc0VcE+srLeyO+rJ/iY1KpCd/jBuYMsyWTpgqWuL33abQ9oUEoKJYhIlQbRppIu1Ah0ji+GhiPTlHl3i2CkDbuepTMTRO21/CmSTK3zojnaT1gwQwkcZR+ol4fhYUkc4ttPVEPG6fta4OqFZ6bguhq5Bk7K8fPa0aJMmB0DNvHNQRIY/Osne6+o/bzaRIeQI1iTj7TxgaI1MJnSJ8s1LxEtKw35XjzNpWuIg2B/m6iIWntMbPg3/9Pe/Ia1piikoa4YTMpotXSO32nbUOhsGW2LMoZ+UR+RbrtGJ8uYiwqVjirtg/afGaTN6+5SqQ+MRJAzM/LOl8nd7XMLNKO+QoVKqZov0qd3XIZe4E8qPn43rYNUAx+wZbl5HU6b4gy7wjUfHmZLTDE8ltG9t16V9cRwPPcIiok4LdPYpeoih3C8Ee7SPsnDFl73HHHCduCH/7wh85nkCj/+Mc/ptNPP/0xvbbdCRhgZfL2Q3DwgOVC0ZWAPYBnFa3dgNoSKPb3UHywdlLdKaTwQMKa2V6jVBH+aRbNIlhBB7Eo85rvylJKDm6hLus04vIhkFk1REUMtqSit5OYF3m1qJROU5f0O0pqE9ROwZKDu+RYP5W67QdsbrLDeZ3OUxxbhBMJ6t/HXn1O5zq/0OGQ3yN9VOmxF6VgEN9J5BfLYnFFWFusXyk+y2KhQ/ridQplSYSlh7pslQXKfaZz7claLIq57Y5EiqbSGepOxmiwXBKTaJBubU9P3qPx/i6al6u0e8dKtEyqbtpNEpuKeOvvopgMwidIDCI6SAZSw/x3uk0ksZrYgxiOIwiOLGOVrxU9SVqpiInFNqQJz0Ypnar0SzJTU6KOS9JUD7jVEnGKwa08f0IGpkKe9T5AnX+4K057KBK+JbJWkiXwsovZSlQLaiAPoPIBkOaIVN2ozxqBCW9cpCeVdEKy6lX3SkAJbkhyrVmy1snfCLbLp2vq0A8qjTX9SRqR9864JEgiKXnRRrsz4qV/Fob5siW8KFEkhw7b9YpAY34LHcYjE2TunCfjzkdd9iDVi9De1pkoIcgXsLYn4QQXCyK6/M4Vw0RQKfNQWREmodhpMFeyjztiRPbDJeTfanoRJwrUYtWanjiNybyq/IeigVkuAqyZ43N2IDZZZqo8Ua9iocMgmitHyKuer4bJWjtNBI1bLrfI112s89ZdNkXxUZtocaxR6rQnldcDZHAxHI772BcVeS8ja3gegywW26Zl3xsRKk3U6RoZNC4ygakRtGJnSgNQ6a7rTdCg9G8NI4lxj1ozeTK32YQZbDT08sSCSz3APgQ/6U/HHIsUfBas4PVZDNPyqRYH66Yryco1A2ka7m6CwFTjTCjgh6TKsM5YHlvlsWCHbeoHLqsSmA2TPyodELV9UngVIoSYkATe6oEUjUgT4qbJ2mk5H8T9o8han/E1djhA0QvS/1BppTRTMKjSZJ/oIsgHeqpqWs9cUZGVq/vTNCJ357SFwFRl3ttFRlfKVeYgKrGIDyCvUHLnyyblYFDfDiiyFAT5MrlLaDZHk7CXQp/Yn3J2IjVdr2H5xkIEbF32GBMLxPFShboMgw4cywplq63o7cBcB7tB5dhtIpO1+9UYkbKWxs6SjgH3JIKE47EFAlLsbLQJ246TxIzdk6zN5XJ01VVXiRfkxfCRVX/DHwI4+eSThUeEAuTH8J+95JJL6NJLL6Xrr7+eXvrSl9Lk5CS9613vegxzs3thcb4oVIggaXuHuqmYtScrCx0m9Uw5+cLkKCsVUIpI7RTKpYoknEj4xZa67QdsocMKzLIkLKzuDPWM2ARJpsPqZWEzUbIfAl39WTL6dk1ei3N2vVa60tQ3ag900qWS8AruJJJYmUW59mfJknmtBCjO2oWiUvBlUtQ30l1d6JBl0CkgcBKQ7ss6W0nNDpP/OXn+UjpJvQNZZ6FjTt/i3sG8ZvoyFJfETQFWBR0CJkIYmM0n01RIQZEYo5GYPUjrhLpWEVNQSU5Je56hcolGO0TWOirCgW6RJoil3qJdnrCWGFUT5zaoXEV6sv5iXSlHyYsynpWKsQGRZjWvra7oOyRbNkVmV7K6zV1GXp8v+afbNKDUE+RwzFaCKhIMki2Jal4TNNZjpzktSM0mVK6INJ+z6ys+1O1EureEIseNuULredWVynFEt5cqJ1O227A0QRBj8I+FjkYmdU6bgb+p1mbCgK2RwGCmmteoaiNVnnZ6addnYYACEehLxQTxA94KTWHGT70sn0+udIMI6DpqQUWaDqRjdcla33PFPWRthGaoiErsjuxPxx3LhUhqSL9ohREVkbPlal5H6uXV5/yqvYYeeu8WMh7aKVSTwGLFUre0SHc4Ez1dsWtBoWI2rDYF4Ns6qhTT9ZTwnq9jmRTF14xQ8rA9KB4QFEkHyIBFp4wjpKsWZ5O4t+X2e7ll1pX3iPeO3oahXo6yo0OR6o0qa9GX+aXbsEJc77cjpK+3YZUm7mEsgNScevssVe58lEyPlZhOCvstzAURpwAUmA0TmCLeRb5KHCr7gTpzNNgPqDSHsghkHRP5xC6ahqB2bfXoZG3weH5e5TWTaJ3AVHlEulJI5BC4PuXbk06Ihd+uVFy0sal8pXWydlArczyLtPtCL+OWiWkdsr6t3iwZylItXxQLNAtFe2yGxXzkddBRL7dpfKqet8gzxjSYXxgGleQcru159SOKMZdKxMnIpu1xcaUs07XzOtVuRS+g7rFsWvgAwywFPbAdirDDZK2wQLLtzYUREvp0dO2CrGVlbaexW5K1O3fupHPPPVe8/vCHP9DmzZudv++66y5xDAyK4RGh44ILLqAPfehDgrCFmhZBnK699lrae++9H6Oc7H7Iy0ketlND3m322g/GUoe36cfkhCzRm6H+UUnWlstU6OA2/UUZCRlKSPh7qsAEhs9Et53QJ4N9Q91kYruzZQp7hE4qIaH6xDJdz0CWEgNdu2SbvuOn2JWhbE+ayim5Tb+D5D/sCNLSr7Z7sIvSUgXQ6W36ioQ3uzKUSCa0hY6FztoRSBI+299F2aFds9BRkuSMkUkLz2OlXs5Pda4NY1KWkEolLDiAsBXXsFDqyDYdpZLEOGU+mRKEHzAsQlHZPphtT1Pej+iLpqT7cVel4pCm8OKEUqVt6UkvUPRFUPPi1APlEmF+A5uJKqnXJmWt8h5Ff6u20edLtCAnNP2ZOA1nEUHZ3i66ICfTTaenqSRFtHecGG0lX6b5IrZ32TwVtsqrMm5GbeqkpxYde3BfxAQprfKoMKfI2kxcpIuAQcKPson2pNtmgJiJyUmVlyjBBDkv7R2QrkPCN5pXWAThhsAoXjwzJTkc8BxxiOlMXEzs8K+dbhNkrWgz2bpkraWR8GhPjRLTTno9jSlr5zSSC6SVQ/74ERM+W+eg6PRFHQJIkT8gTUc1ItG3T6wEXIska13EV1iaqnylB6RDsEUhurTLEgsaylMWCygT81S5c3MgAeUQmKkqkQgyvN5ChyK3ogSfsuSY05Q7rHQSHn6gDoEZQflZsy2+gZ0nOgkviGm50KHuY194yOAY+gX0Q93palCikGelasPg0zMJqq/UVuUqAzYKyOdkI2StShdq0wF9oSNK/+8ia6OXL9Yfxe0QQzt2k8TNk7VW5HrF/ZpNxKoLHX7pqvvAW5a6grdUIWPThPCxDQLuD+VXKwjMRoku0b9bRLDZQv2qgIB1djg4BLEIjBSjIbmjoyGCTVMbQuXpUtYGtGX1jHWTek0813F+1ffjWQClp7omLSaGnWY1r+j/VbrwCm4aai4K4rBL3sO4x7X2UCXh41UisR2WBI6yNmuPnTLSt3Sh4JRvn8prOxW9ertCO0OeVbnLcYbehpH/Ujuln86ihJ2m2oWKcT/GMB0jiV0K8i4x9kUgZRG70bQd11Gj7bIkC+rHkKZIFmMCoayF9VD704zHE/STn/yEdjXWrVtHn//852mpYbcka1GYYqLs8zrppJPEMSBxH3nkEdfv0GlAXQtyF4HGbrzxRnrqU5/6GOVi90RJqtSwmgQk1WC6w1vXE0oJ2ddF6UxKbJsXyU51jugqSnKtLDvjzC4i9XQlJIguReotTuZ2iRISRGJW+ikmtcBUnUnYbk9JScyU5epwJxW9tmWHJUjwbFeKeqVSGz7BnVQvmxoxJP6WCx3lDpL/xUJFqHeBnoEu6h+rLnQUtaA87UZloaoOB2J9dj9hKG+xDqnvMRfCFp3+3hR19dtpd5XLTXlv1gWI4bIhgmovpJKUkCq7PlOSte1WueIZJwfhIIomTfvxnYZxfTLmeG+q7WdtgUoPE7DutChfbHsaTdnlOepMrtqUpk68YdusVNkpewuQeQl9UtdiXh1FpCIrFJmZK1YndBlJrsk04Z/bsl+tnMw65KlG2ugEpkhXTbCayKtDRjvp+RMlKk1sa8aW1GqajeXVaZ9pSQLJ/txCVCsf6GUMNJpXQWCqiRjU2IrgDyEJoAxUSsi+TJWEh9q23qTDXqCpKnlFu4lI1lYJTPs+VeQPvDhr4BfozDP5dxAyEUV+QOABturTnmiBN/CdS/pt00Y96sraBolEQBGYCIBVF9pkM64HTzNMMh7cYe9mQJCqmp9VrRdA6vWKtmzPMeuSerIMxYJGBHWtPwnvqdcopJ7nPgwk5EPSRV5TcZvErEsmeify8LqsOSb457MakShImHokvKasVUAZCzSwe6rantzpBtovBN0fDZA2c/J+RTvCM6e64NDgWELvUyLYIKh0B6L0E6o+dasFvNfzCTXc1hkRcCyIoANRq5SQXakquTYddfeKeo5isQwdTIDKsyavitSTyktFdE03ojZVc0/M00AaigU7+BoZvm2sWIHvfJVMVJYPsChQn0cG7l9LPkzwLEc/KeNC6IFgXWpeWZ+qjKeaHTuJZ58sJ4yzcQ1yvK3qQyxMOs/YhNitg0V2PBdU2TcF1KmaB6tAanI+AzJTJ6YBRRI3VK9hcMZtMr+ecRRIeASLg4rZTredY2JZr11yXg6hBshay86bQ8K3M00vUSzIWgQAlHHOTMRzUL61nSJrbQsEhHkUQRoxLsAz2rIXexoBdsC/5c1vob3W7UXdXd20etVqOu05p9Ff/vIX55itW7fQaaedRksNd911F51zzjmCh8SzaFcRu7slWct47KArIYG07KiTHdy27lVCAhW5Ol/qoLK25Cgh7QdBVpI/qaBJUweUkOIzmb4RYatlq0rIiiThu2XaIqhbhAFmq3YEIKYFZF7NDhKJeZnXklR9dg/YgzvYe0Bh3CnEZP2l5D0TVxN9bB3qEBYlEVxOJSmZTlA6m6IKvJZQDhG9zJqCHDTFJUmkiMyoAVuaQW7Wzk8umRLEJdIWqshK2RXluF1QpE0+mSQzFqe0zGO2bOdRqffaBnj8idFZjEqJOE1b9uM7iYFSxXQ8VVtVm/qSw9mUGJgUE/ZAdDjmJtna5c/rKHklqeiQjPK5g+3ydrr2wLRtylrZ7wgCTn6uk6Z2mqp8owUPClXWqgmOo6zVlTBK9WOnV63XJsq4qJHtgPrXcx9601R5heLWb/ttINR5ZTpqy3MQMQMluF8ZR713HJIb5HAiXrVBEF7gVmiafWkotGOCoFZxlxbrtScoh1V4eJDDsr2IgEl1iDYvgQklJrAQpGbV84k0VT3oKsU6alddCQmVHiZ0PUmVbm1efT01NWVto3YEIBKBPqmwXYji4yrvreQRe9q2PcrLVS8nn0VVpYQUQquUveVeKXvhFxwKJ7x1nBIHrKTEwavd34dE2NaVkHZeZfnWSRNB5Eyv2EBrQ/DpNbbP+NavYVnO+UFgivSjpOu5JxziVPyhFgisyESik2aAmte5J7Q2q/qixmwQ3Asd9dJ1QVPTRlWG+5HwKk0ol/3IiaBngq4Cj+JZW3vvBNer6uNcfR1uAvWnN0p7kNJUEolKCdkrSXGo9CJZ0igCS84fglSeXsx7SD2kDyw2QiRqCk+nv1LKXh8RUdWOwN7NkU7YlgQi3UafsTltPqzuH2UJ4FnA09Wm7ud6k/MrVeYpbHNKuMlLuXMOYwbUoej3ZZ32OmXcwrwObVq0ZRDz8pmryn+hoBHTnnptxzhRqJk1GwSgKyO6NjV3VmWr/m1r/Ag15pD1PC/HxP1mxdOGOzBvViKYnqy4R4TKVZG1svl1TG+EQGJSWSuGAw5Za0XZMOACdsHfcust9I1vfoPuufceuvonV9OJJ51IU5NVX/4VK1ZQRlq9LTUbVuzG/+QnPymucVeByVpGS0rIbG/aUep1SpXoVkLKwYdUuxoRFC3t2CILZGWeoVQsNxAcoRUlpEg/23kCUykhFQmPcoanKpDvECFuwidXEltdMq9xNdDx8exrux2BLFfYeZTlZKLQQYV4qmTnKSu3BieV6rSDCx0OCS/vF/FervwXO0jWJhzvWDuvaUXaysFUJ6C8abGQI7zxsHU/FqNuo9L8gDgEarK5IAdrXdJ2IYEFF9OoT/w0mp4i3jJJQRCgPwTxjtsU14IJlriedg1MMdFWk0A5wc5Lon9AkrW9ckIJtWKr268EOawpa9W/ICbSFTswh0qvN9WmvDp9vLw/NLLWq/rskWmjSEK3GofAIb8VGe14vZVqPSFlumobbDPEtCWfU2gzYUSJbr0AQH2TUaReA2VczV/aRQah7XrJDKGEDCjjyPeOh9wXWzHFDeEJ3uSXV0lMo6/ARDZKXh2LIvQx8bhNEMuyredbqyshXfXqR655bRDUAnFCblnXEUJA6UpIhWq6Pr/zIY71AGNRAzTpSkhXmlHuG3VIzEOU6vlU5LErTft7kNFKZaTSha9saJKKREN9wosPJIAubvZJL4jA1NMMW9QxNuy0yX+Q/nL8o7fZyt2PkolAc4/YcTh0gHzGqVE0UvDvkPCq//CFTuqpoF/635GVte684lHhu6jjZ4Og9QlRUBALRuRKV+0iiUL+ez1ro1t5uPMKDkY1A9/2FHQpHl/i0GsVFi0B/YRfmqo+/dS7ybgzd6g53gOvEhJ9YncjBKaHwHKpPEMst3SfXCBqPxyo6lVw5hG1bcxLmurpNk3W6n2yk7b7eaB7x9pptkhgestcnNStrPWS8Ha6bSAw9XyrZ5U2d1N5VWRpW9JUQL8hLfv0xQHTtKgbu8xSccokvem2afyP+0e1KZnfqZjdh/bIuaxKM19pLs5AlDrPp1NiXAzPWgHLkg5ellCHl40OvMp2MEBUIcoaXW/ZsqiMPJrR/MOBmZkZ+vMNf6aLLrqInvGMZ9Cee+5JxxxzDL3nPe+hM848I9AG4a9//SsdccQRIv7Uk5/8ZPEd2vStt97q7KbH37/73e/E993d3XTcccfRfffd55zjoYceorPOOouWL19Ovb29dPTRR9N1113XUBXgNxdffDG95CUv2aVksmfZjcFoTAkJggKPYqgSQTRmvROJNikhE5oSMmw7ZyeVkLBfMOJxQcZAlZhSHj2dUEImbSUkkFBl2smgWyoIjVKyCQIzJYJ9FRaK1KsmE+0m4WWwum5F+sv04x3Mqx6sTsFIpYRiutwh8r9UKFNSDqK7B+32lOpNi/G98lntBCpop0KdXc2riQlanqjSobzawepKjncskOnNEEodZYzv1X3cTlSU6l/dL4JQQRA3k4pQTI+2+cEqibAFqXDtx6wZNiLFihg0zsYTYnAD9UZboIJQZVOOEtIQfVBFDCB7JQkfSb0WAU7fKn0NgXlK0BAG4ZbdlmG/gAks5r8g2LCtvGnofqdKmZlJinNnDcNRQroG4S1EF0Y7dPKINjNXFESYpZS1STeRiLRBEoAMQV67fXYQ14Va5POSp5J0VGreTML2qgVaIeGrdaiUruE2CCqvIt1UnIoVe9FhuKtBslY9G9W/IHJAVGikDQhvDPSFEtIhphvLaw25j0WaTFJcB4hqR1Hsk1dFTIt003GhuK3XnrwLuAJ4X6zY30kfuyhKSGyvDrpfQZBa+iKGo1C0vYctdODOyc3IRKJOdPmRekHK2liiMc9PrxJSEU6oc0zq1H3sCzXpU8cIhsxwkWyOLYMrTTfJVS+vvjYIUqEm+ju0VTXJ95uIxvzT7Ua9xuxqAVei9AU12ZTWU4l9lpM1PieC/rnU2bK/N2dyYvwblFdFwkQhxHXyWHguK9Wy66DoalPYL6RlMYHAhIVKXRsEdU/KBRx1/YFpyryiXJGeyKsipqOQ/xpBijKu/HMDxUZ6KbFuzKnvsHSVOluoEpMxUfZIt9871WmDshYkPB6BaN4qj6Ft2PSxQXDI2oTdF+rXMrlA1sQsxfvc5/IqIUW66bgguXKlJpS14gRZm6jFuGy09iclw6S87G9bIvX80s4Giz68BLGdboImFiuNk3oOaelDFGvja0HCa/68Ik3ZrlC+Ue6DQLJWz7e6DjkWVsplVb7tGjtVd9D4l/lcouoJLC5LpmkTiS2OifVxvuq/xKI+CWGGKt+2EOJeiPaEMSrsLuyOfdyK0zrwA3g2VgxBFGOxEEQtVOn6okBLwH0tn7+zllpUqT6H8AnSvOr2Hb4uSm1R1oIgjsWEv3RM++wFhywXXZHf48QLkKR4/fSnP6Vjjz02EuE5NzdHZ5xxhog1deWVV9LGjRvpbW97m++xF154IX3mM5+hsbExeuMb30ive93rHHuFhYUFcY6Pf/zjIt3LL79cnBeE7h577EFLGaysZTSnhJR2BPA3tSO9d25btVcJ6VYldk6BmZLnzkjCaVeoEouzbjsCcR2SfOqkKjEhH75KCQkY8mFU7pCytuCxIwDSMq/JDlpNxKTtQFLLqynJjE6RtYszsl6TCUH6A1lJTMNztFOqdCcSvFSF2wkrpXZn8pqbL4rFG0HCC4sJom6pOkUQu1KHVOmGnNymNOJGDahKAZ6ZrUCoBTGQkEwG/MCwiCTIJ+lb29KA2Cc9ABMwRTg5KqVCub3qBa9frZxwzMohQ4/Mn67A8VXqNQCHeINvpBr1pZNiEJ41DRqUSkhAKWxbskFQ7VARMy4/xUrNFv2mlT866SYXZoQfr8ezVihNPXYEdpoRCaeQPNbYICDyvEYM+RGYKt2G8upRnQhSTZatV0mnyheTVkcJ6bThcFViLVmrkbKKIA5Y8POqee1riNieVJvRthdXrR6C+zWo5WqUkDJNzKdrfOb0xSx8V9IUit5F4kjK2uosyiGJ/YguX0uGmL+6NRZdCdmlxe7L1SMTHWWt/Vtfv1yfxT4vkVg3rwE2CE72dNVpwM9BPM970k3AWiMRTibqthaiD1CLGH7jHp8ZsFe53KiyNr5miBLrPVYPEWwQvIHj9HR9t+n7KWtRrsgTThVhLKAWHJoi4f3uDzSxiQUyN9f6HvsGq/NJ13dBNIis1cdZdcha1YZhfeCQ8E4bNoPT1PuPslbm2CKvwXh4HGwl9U55t+iHkHoNKWu1flgtmgfYfM3L/l9XQipSDyRXZKshj/WO672PmMdrvaCn27SyVilaASWM0Ihi5Ad9PBap1DNOpYnPi83s1CnUV9Y6YxgPCd/yOFE9W3UbFW0heFHe16qMYTWhFnJaVrl6/WoVWWtalMY4UV+YbPeYWLVzGeMAbXS6jDgZCXtNMVd07dRpq/2Cqu9kkuZlexGPBvl8iIetsrUF0nLF58GfwM7niPdrMpmkb3zjG/R/l/8fjQyP0PHHHy8I1ttvvz3wN1deeaUo16997Wt00EEHCS/b888/3/dYELEnnniiOA5qXShyEaMKOPzww+kNb3gDHXLIIbTffvvRRz/6Udpnn33ommuuoaUOVtYyIiOPbcaKhFEelHjYpFJCNdgp/1hTPew11W5Kpg8VWydQKRuUlKtY3dKrVlwLyNpCsWOkniEfBpZG1mZ604RPkx0ka2FjoW/Rd65hIUeVDnnllhaLhJI1tAc+lNpwcUtKr1wsBrQbCTnQUFvz9YFGpwjM0qKtDq/IwHhAV2+a8njwwRdssUQ9DQY2iYK4XHBQixviMycifIdIeLmQAZ9cWEzoizroJ9CPZPQBZrsgibC0NPh3FH6LJSorVWqb08N2oEIqIRQ/UEJWutJCvTNIBm2W5I8UUrcMtaUdA2RFoMUxOSrmbRuE/vbaIOh+tQDG2DlJTGOBQSdO8Who1fbB8W3V2gbIUwwCoaxVkxxdldLKYFgnTh1ViyRorFLZIdprJrCLRnPqZUy21aRaEW4o25gi5GDXUfVTVagSmI0rcLxKV4c8hcdqoeyQKE66HrVpoyS8t82otAUxjHuwt3qsKkPlP6wTxFDcor3V27zi22bStppM1a8X8yFlXNcGwUO26++D0hPnrdSSMEgSHAWaBUg9nRRyzYewdVuReOlEjVo4bFu3IguVwrUu0RUQYMy5IBdh6t8OVb2Cw1ZKSLGok4yJ7/DqDVKl6xM+dX5F1upEpo90SJGmyh9Xz2vY/SoWStV9qY83RL2qsY/f72OEeDliMwCsGyWpplSuUBEj3VG//l+1FWxVh/WCJNV8fY997neVH+VnqtIU34URP7J8Y+lUrTq5DlcLMkQ9Rvt0QjwVo+mirTatgZ9nLfKDGzsP9XvZV/2uQxETrrxGJeFD7g8XiVrnnlUI83sOJGsbsEEIq1eUPepALWxFsUEIukfjnsWhBbmApfxMG1qYxP2jyDt9XFcnkJyyptKf61j4jWteuUoZ2ThxGKysVWOG3maJ6XpWBD7KWnVeELRQJQKoR3jlQl2M70Fat5y2KgP0LxZ2AKky9lObtkCaOmpmfZFUzqEqJqUQdC2ZdKyUVLqlPNTLJkmtV2tpa7sF0W+DMMUK0CB2mjlptlvA4FYzw/oFSuFcIkmJGMY4ZaJ+O10ouNtL1lYXJdS9Y+9QkWStUOTH6JxDl9Fg0HaOZoE+NFcU1gfzyRQNdiXstAtlMksVKkt76potIAF4wTkvoNOfezrdcMMNdNNNN9Gvf/1ruuTiS+iyyy6jV736VTXH33fffXTYYYcJCwQFWCf4AccprFy5Uvy7c+dOoZyFsvbDH/4w/eIXv6Bt27ZRpVKhfD5PmzZtoqUOVtYyIqMoHz6VJLbFxmtViSERmFuCJCkS2oNBqRI75ZVbkMQziOm0NmO0ZF47toXcs20V6JI2DLBfKHXAHgD+u1A8Ai4bC6Xa65BXrqnyqqKnIsms5pW7UOpMADdJNGW0BQfHaqJDthoVeV5hQSChe+V2SqmdkJOltLZnO6lUbx2ymijL9mJ4VB1Y1AE6taiTkJP5jNZPJOS9a3YgryBPMecpJhLULSevihTrE7Khdq+sKyIs6UR4F2St/K5hv88GiTdMnuBZi9szpg3020GcCpQ8W+iBTFKUccYwHOJFV9aiHJr2BVN50BV08j0mHHE5ye/2mTg3lVfVBlOJqp0PJm6K7CtWHNWhnibei1gtDXrlClWbIiq054m+DVkcZ4GEqU230fbkDUjnTc+rrFWBa5QyW3nlKvuHSCSxIk8zfspaf/I0L+8ddc82pF5WJJveZlR6IWStU6/a5FVsqw4iE/U/QfA4arkkxYZ6KL56iGJqcS9ErafSRRA1J68tBBhzEV8BiwZ+eY3sH6t/pX4uVXfOYpW6Jg/UvaGt1UXbLq8INE2lFFVZq5evvojiqFyDlLVe0t9R1vqRtRSS11oSHtcUqEpUfaUfiaeuP+C3OakERlPQeK5IyloXCa73DxHGW2F5DfTK1RFEkIY8N6B2VFWhp+u0YV9lbcDJCtFtEPzuHfBNilevuWctPxuEqqVHfFk/xfRdVT6XiraS9+mLFdGVq0fqqfzhntTHfNouldB+WEtTLOo0QrChP1KLOBGVteq5o4KKNT2GQZn7EcWKPIVQQs6r/Mq3ZUsCJWLSyVrRn6Dt2Nem0u3SF7rbQWD62SCIhWCM1yzqMgxRvq4+sV3EqcdKSgGBfoE+zaqnLZYPOtS8X5a5Kl8IU0RWZXtoCyEeQpCreyfmUdaivDGvTCXa/IrZFjSJRJySCSjhE/bnybj9uXS6agQgXp/1rGfR+9//fvrzn/9Mr371q+kjH/lIy8WUkvNMu3xizq5w4F3vehddffXV9IlPfEIQxfC7PfTQQ6kkbfuWMpisZTRBwniWTzq8rTouB7ZJ7WEMVSIpr1zIG9qMkuyUyx5i2tlu2akAWJKw0IlpeOMaMrCPUi22EwWZVwQs0n14k92dJfWcbd36xF565XYqr6WiIdoMkNXIWqU87ZRXrlnwH2B0ksAEMQ2FskhWV6XLeyfZIa/cilKHayS822qi/fUKEiEmiYSMTkw7RFEl+ra6BsnaQjxRnVzJyXc3Ga1v069JT5GZKWfCoSwfoBJSCpWiXO1vGZ7thSBGCwmsqLuJt6oqsUVlrQ95CuIWZYztbbpYQHnlqutqKj1P8C3xHsRQIm4TxKYh0tH9NVuyQfBJT/yt8ls2nLzopKkIkucE+7Ian9RAvadv7/b45IIMwa2BbOqkXsNB3EASKDJPj0Ke8Z84VyfrbuKokYlzlfTSlHtOAKNKgDqwlhCJmlcnPb3NaGR7EIIIzEBSTydfMPlUfbUk+hNrR6pBqUKUtX7phhJOAQHGYnL8QfqkN0C1lw/Ka5SgUHof7dggJGrL16cvz9UhMAO3aao8Q+Gq3evx0T6hZA5KT5xX9rPdHqVvaPA4QKtP/V8/Za2fr6xKV9ktiLx6vHIbJmvrICcvGWnq5RSq6NW35GvQAw9GTVevV+WVG5iujiBlbYT7RvBP8YgLDkHkr2vhpXGyVl/UqblnlVBFF6xoamYQtslD1tZuUdDqD7sYlA2Li8CM6vepKzz1BZw6ylqHSAwiMKM8d9S5MUfTFwQUiYjv9b5UI6bdeW2CSBQ7ZWoXQ22bj7jrmedHELdE6iFPeR/CVKnWAY2sdS/CunfqNAU/6wl5LWhKXUaltXoNgx9Bjn5AKGtt39pqmvZnJemV2zI81hNqDOOIcOS1NRScL3La1fpW9RrTn5PYdSUPxY6/tgIL8UK3LL1qFfAcidlEcasBhtcftJ4WFxd9vzvggAPojjvuoGKxOnf8xz/+0XAa8K59zWteQ2effbYgaVesWEGPPPII7Q5gspYRGRX5cDA9ijld3dUJxOXKqSIPq9uqkx3zyi3LAYg3r1Wv3HJniWnd+0mu3AHFDqhNdcW0DuWV27FgXzKvOjFdDZrUGf9YlVcEiktqE4i0JG6T0g6i3dCJNtfnHVRqwxvWj5jOSqWFCvbVbjgqVu8EQdazsvpod/lifGKA2NL8uTJSZpUyDOEN2bb05LZ1DFBAYKqBqSJusrJc2+pZqxH+apCY7pGT3lJFeIIpX7B2WCF4yUVMJPOJpE1egvyWA0Klcm05rz7EGyacGGMjhR5srZMQvmCNkolRVJKyDpWa10skOnltgpgOJmurZFRdBU4DefVTuQqov2X+FUHsVQc26gvsEC/Yqq8vcGb9yUwnXU9eo6Yr+i5FtPkoXf3IU0UkIptKwduQV646p48aO0xZG0Rgekk9c3KeKvdvcxNMwgahqqx14Kd29RDTigNwkbXJEK/cQGWtjw1Co8raKCpXv7JXqzK6DZQVTUWsvHJxfLB/bID6szdLyYPXBF9XgJq3GWWtE+gqog1CtYzJf1EniCT2Bm/zSweeriFkuF6+QBCRKJ4P6v702lkFBDr0Q6Pp1iAoKF4IoaG3YT/FdCOetS7AKzzkuMB+InBRR/6j5cVXzRxinaPGEgj6pAd+iqxK9Avw5XrOlH3Lui1krb4dX88j7ivxt6Z+ldvW1U4ct4o44ZCqkUkndV6Us24pIghTN1FdL6+RgrjpEDYH+E2stty1OAaqbvV0kW9cotGsV66uKPapc6WsDR7DGB0lazMaWYv2rPyQ26Jy9bR1Va+OMEVeW2+z9RqRIFfkv66sxT2m3raDl3ZB3hMWiFn9PkPwUUkUR+WHJycn6ZRTTqErvnOF8Kl9+OGH6aofXiVsEM4880zf37zsZS8T6tjzzjuP7rnnHrr22mvpkksuEd81YgsGn9of//jHQlF72223OedtBFDh4vd44f2WLVvE+wcffJA6CSZrGZFh+GzR7zSp59q2rm/RF6pEGTyoA/YLSkWsb1t3eeV2yD82IfOa8pC1wiu3Q1YTlZz/tvWMJPU6RWDGA8haK2OXcSe8cpViWrUdhS6V14ohvHJ3hWK60165ysoDqmzd+1f4TcuBLLxy2w5JaMQ9/URcDew6YKtRlG24GE+4tnzhGgQxYxht83IVkG3XoBiV4vEqqSf7C6gy26msVeSweA+yVk1gVT8BD1LLai0YVR0yEwNE5NUZHMnvWyZNJRzPT11ZG4tRXikmLPd96QTAalZZ6+M/KiDVvAhqFjThaCqYmkP0efoA1ReVK77K2kY8Vf3JYXd6SuWm8h9EmvY0GuzFCYLlLc86NgheBWbUybpafdEDYOn16TMeccrXS8LItgTyMmhO5xcgTn+P74LKyVElBihrHbJ22wxZU4tkzuWrB2HmpXnWOukqtWsAWatvW9e6RLGgo4rLq0r0t0FA+fqY0dUjaz1q00hBoRzlpzYJU6S0i3x3n8NWB1JNuvaiTp10nW3j8VACs/a7YCKxrorYu4tALRyDmPdOHj3ljDZWT6kdqDYNtUGgUAQqpoOIRNWW8LWnbFu1QWjEt1bZAjRG1lJddXjNvR6lj8QhoYpeaqg9OW3Fx7PWWQDwUWeDdFGoRyQWZHCsQDjEnc9zzRkr1NZz4MKko0o0mtuO7yVMtTam0gSBp3v/dqXsHTS68rYuVJ48z1fXZ7LPCtpF0nRgM32s5L2X1Q62fMkhnrPa/Yd8q7+bUn4KeyXDP+8hytruqErtJqwnUG8L0jA17XmGNV3GESwYnLaS9ShrW9iBFZy2nKtlNGWt8CST38sAdvbbNrO18v6HstbV3GJVv9yoat7e3l7hN3vppZfSM056Bh1+2OH0oQ99iF7/b6+nL3zxC76/6e/vp5/97GeCFD3iiCNEQLIPfvCD4jvdx7YePvvZz9LQ0BAdd9xxdMYZZ9Czn/1sOvLII6kRbN26lZ70pCeJF3xvQRrj/b/9279RJ8EBxhjREaAORKAmo0MEpmvbuoesFduq8wWqdIBwClIHQpVY0FSJuoKoPdvWDV9iWgyE5qBKbH8ZVwol0RFY6VoCs6S8cgtlStcJBNGsx2jaE2zKu0233SR8ykcxDa/c+VhMtLXcfJH6hro7Qkyrbeu1XrkdUNbmSuI57lVMC6uJZFL4PcNqot2BzWIlf7K2k7YaygoFQcz0lV+oGBGdG+QpBmuj3e0JWKeIgxIIEyia5CBcqSSh5G3rYE0NzmMxKsg1VjEf6Ura4RTQRZYNsZ17Om+2TpyCmPKo+cSEA8E/RD9hOMFhGlVg1iX7tH4I6o9cPEEZqgi1hg5763oLQRwc8tSjqEsnxGA3Y5iU8pKm8m+URU2wlzpA0DJxfq/i3CH7qjYINSqyZojpIIW7owQ1QklT3SsX16UIzUD4EIqu8UKAsrbGBiGqslamB/JZJ15V+foF/AoiJpRXLiwScO/Ak602f0aVtPPzrAU5CiLG57cOqRewXd4hupzo7gHKWv3cSs0VRNYGbFtX6c4gKFTZokH9keQ34cIYR2539Jhd+qabV1v0myHX1Ff69SqiwWWDEG3buiIT50t2sC9fqMm9N+CWj9rUW451VcQBadaQ/khblS/IRZ1d96SJJqyq3E9tOp4PSTdMWes+sOYYPzUvoJPhrjJyVLVuewmRvBMPoUTG1mmKrxz0VUi5iengdEMRRI6GKKqcNuy9X2V5I2t47GjxuII9a73AvRwQODfIViOQhFf3q1K+CTLLY7EBhDyngvpELOpAmSgCKJVM6td2LEVahER94jOQTHgWeQjV+tYADdgg+BGmGGtjXA0hxGCPJ6+e9ii9cheK9nii6cBmNc/YcGWtHjy0ITi7WHwoHMduDHOKrCBmveMUEPG4JgSqGulpkAZS5DfmFei39PtIKGttsjbWCRsEw996As/tgpyLK+s3Pd3pXBvIWtxbiuOQbV21YUeI4njWtlHNq6DinmSSVCgXKKt4Ws1rXBPZtheYD4CQjXvIWvnYsg+JlmgmkxGesXj5JyWJYdOgWKzaho477jihhlW44oorhD8tAocBJ510Us01gNjVP1u3bh1df/31rmPe8pa3uP6uZ4uAc7TbUi8KWFnLiI4AJWRakjBJw2j7tuqgbeuu6JOd8N4MUCUpwhikHojktiZZ8N+23qjHV9OBvjyTevjXwsdWXFubiVNbMW24tnIrOO2rA+S/Uod7iWnbK1faL3SAJE4GKKaVp2rcb/tju2xLfAaeSkVdlorUzhDTHgW+JKqVerydQJRZwPT2EWls28fWKNOZ9LUnQamYkOo2Rx0i21XCMCkOlUab0tS9OXNGdaIeF+xEdQutmoQoJUdrg2J5DmeLoPtvRfapvOtbDJuBn/8oyg9qab9BeHeLefXzHxVQNghCWeue5IDQU2Nj5X3aamAMlV8sEKpgOV61kZrkNZJX5QHsVQ47tguS7KxulXTnFYseigyK0o6d9FIB6Xme034BZvS/66YZYGPhTOKw5dijqgsiiPXPAtN1+cZq5DDuQWerfkAwHVWvnkutKV+VtL6tGfeiIpz8yNoA5WCQ6tO+joC8+pK1kuz1LkzXURHXkP9Omr4/c59TJ9/9SFRP2rr60kv6OekGKaadsvUja/UDo6s+q2kG2Go4CxvSBgHX7PTjngLyEC2K0MPlwrvVla4k+VR7ayrAGGBFb08qTbH5Q2+KYcRwNmUHyAMBsGmy6nvqAc6nLtlLYKoyDnuui7L3krWqnoPqJoSYxqKOqiZvGUedwAfZlghVZ532VPPMcRZ3JFk7MU8W5kwgUXTBh7cOYuGBHu2fxLTnjhlBYepD+oUoqIMITPUcgqK3ae/UAM/coF0krudOVGVtKGHqDnIZRExHKl8/qOdMSJkrYY9fXtVnDY9h6pW5UNZWA4z5lW8hSOneSNoe6wmUL2JHYMyixCLedBsuYy8wX1X3m0dZq4I2q/pWeS+3OCZ2gHRl3lUgNZHXmN6XW45bUaeUtfivywYBHYnyzO1Euhouv/xyEYgMtgk/+clP6IILLqAXvehF1NUlvfsf52CylhG9sZT9ydqsDOjTCQIzaNu6W0FT3mXb1kEYKwITatOOENOebeviOtRD2TuQbwcClJBKqdgJArMgZmxy4OQhptV1dILAdIhprwoA38mHYLnN9Wrqiuked2TepFyRjXeAwKwS0z55lTMOR0HeRihSTS3iKKRlP5HogM1EJaBeQVQJgYdpULGd/rGy3HJy5dchfzARFKvPMUobRvsGa1rQEO8kR9/W7kx0WiWJlSIAQXfkoNhREci+WKn9wMU1TWDqNg8qj9rkRw9qFvOoFLJRSb2gNIM8azOaZ613+26DBGYUz1qVfkVGBRLb1j1rDirNhspXPSu8Cxjqb0dZ60+aAtlG0nXKMyA9kKfyXsB9ga3rdrqxgLyazZHRMkic65okHDLEh6xVW0OD6jXQNkMfi/iMf8K2rSvlngoI5RA++qRHbDuVf+vtUb4PIn+CiB+RV0+69cjamrRDEJRuNc0QX2A/gs+PrI1IELvLuJ4NQj2rByvytnW1K1aIscyQtqTdm04/7h33xBqoV5luYF5l/fr6/Pl8hGsxtk2LhR1nwcFDmiYCCczgPgPpJw5aTTE5HgraRaXuG3QpXnWgak8IqBkI5NfztYvErEPWdoW1pygLHX4IGP/gXhSXIwI9+qdZs+Cg0jQt0Q8YGyfEn/E1I26hidcGQU83gEjU+8TQvjho0SwkyBjuf1V+3nTVcz3SM0dtDffaIIjrcXuzhxHE4hTKyzvqM1YtvvqRlk7a4craSOXrB4/C0y9t5QcdStY2MyZWafvmOynasJ/fvypfPPtDbTWipO2Zq6J8i3Kc6H3mV8u4xTGxE7AVRuhuAtiZ62D3V8UQqnRFarZETrvGcvb152PSmzdZS5hCIAK0nTNVateYR1krErWDjiHttit6NWzfvp1e8YpX0Pr16+ntb387nXvuuXTZZZfREwVM1jIiIyknf94t+iAWO0VgOt6xPmRtIkJgj3ZvW+8kgekQ055t6zpZ2wkCMxbkp6oRmKU257UovXfFtnWPYiel1KYdIDDVwz7ul1c543C8mduEwqI6X4yynlG4Up92gsB0iFi/QbS8n4w23zvw+03I7eoZDwmfljNJ2Gq02xfYdIgwr7JWrrZr6tu2QBJFi9InS03qMAm1t2UTZaXHasuDRH0Cn0rWqgO1be31CKfo6dWSCSrdhCpjRTi0QGDWEIs4jZamGITH47afnGcbfUNEogeCLAoi30KUtS2lGxLQDDDk/drls21YpZlvYOBfJTM9tgQO2S5VP/KczRCYrvTUVn1veepksTxGtSVbqRaU16jK2kQIeeq1XvBXkenpBk1gnXP5qZlCxiL6tvXIBKZ2CS5FskZcxuraIPirA93kj6bgRfreWZ5moVCjcPWpHp2Y9hJOahd1EIHpfCkS068hgrI2gEgU6crrCGxPfgGZIiprg7atw3onVIHpszDlpC/9x6vXEM16wdWegvKqzuu7LT5Wc5zxwDYyN06S8cCO0HR9CUz1NsByQbSrrvAdY1HyGqSYtjMgG1qMKLH3mCBqE3sv0763ml7oqEk3KkNSJ03cJ271mtY3GcE2CNbMor3wkEkKWwkXIihr/Ui9TJRnnV/QRecE/hY4OJ+yzPDu6GiIwAwjin365FCytmllrZ+qt5o2vDwLAc+dpgnMsDJXcxs1ngh5rjdFJNYpc2QD4ghvGad0ArNZ4URA3Bx7nCjJWsw/NMss1YaLrZKmPgS5aitZPGSUhzzswWIxyjoK8TYwmM6unmq8Ct2H2CFr5Z9tJU1Fv2aJ7tz0e3RI31x83El3gHe/+93CoqBQKAh17ec+9znq7m6vXeFSBpO1jIb9VL2KOZ3ALLV5W3XQtvVOKzCDtq13ksCsbluvzWsnFZhxOalPdu06BaYiuv2I6U4qMNUWGT9iulMEpiLhy0l3lHQAnqOdIjCdQF++W8SCI6a3I6iZBZ9YNUuWSCNNNVhrt62GE9TMQ4SB5FMkfBvzCqIL45K8o6zVI/jY19AfswdybbFC0G0QtCBJbkVWJbIqsX56tWSCEzVa1quuAGuFOBXnUumloISujgaR15IahHvujypB3ERedf/RGlsCTDgsQdaGTXQaqVc/D2A9PV2V6UeaOvXayMBfI/hdUHUKghD2ICHWANV0G5g4e5S8flu8wwhiXUUctrU4TOlaVfO620x1G6xPunVtEALIaE+QsSDCCZcEcjpIgVlEkfjlV/VbXu9Zjaz1K6cwdaAvgWnPydzn1q/Xq9D2YS/Dtq27FJhB6mUfgs838JfVQF7rKGudfqyestanjMNIvUAFpthOW7swpd6LIG+hZK08f0iagQRm1ABjigOcK8h/8459RVQCM8rEvepn7T8eCC3fKIs6Kr9QhC0boORhe1AMY2mH1ai30OGXLvm3J2+G/Tnq4DQDfHL1hQ49r/biivqDyNw5J97GR/tqldO1DEskArOuAtPHx9PfDsA/uKRtKxSiwKwX1j4SWVsbYKxpFXFkz9pqu1bjExCVijhsmcB0bBCC7R+E4MiyfBcmI5HwTZS5AeGWZVECVggx97l1Yr5pAYPT1txpo14rulWPNtZv2mqiJu3axVrXQoenrbdEiAelnU5WCWJfstbqEFkruxqhrPUu/FRVvZ20QXiig8laRiTY5Ipc0fF4jOoEJoJV7apt62lJLrabwAzbtt5JAjOMmFYEprquXbFt3UVgtpnUQ6TSIGJaBTLrBIGprDz8SPhOEZiOvYWPOtxFYLZ5oUMpphXRryPeIVW6ymvFh5gWvsCJzizqKBJIeQC7IPPa1vu1bIiBSSmO4A1ucZ8ibnqkPK5l/1iZnkAKZK1HpaF5yLascA3wj9W3rYs2q1+TVIO2lK6PX22VrIWytnZ7cFMEpoRzj6fdwanUZ8hqVmzl85nAqjJuZPCPE6oRdI2vcpWkgZVQqJo3bAu5B0o5W5MeyAA1eS9VNM9av8l6rHVlrcu31gj1ydXzKghMo7EFBSc9zRpEh3ehoxGriSDbjHrPjiD1pVJgqiYvythPraomqF6FqfpbSF58iMSQdH2tAfR2pSaCWh8e8+4yshrbtq6nG+ip6qf8VIolv+M86XrVvO40/ZNUhL6+iyD02vQd9vIjv3QDFZhq8q68gCUcGwbcR3p9esox3AYh+H51KafrBRirqVzLaSu+JLF6JORKZO6YlbEr6qflBJMN2M0UFJhPJzADLR/EiQPIadWuA1gNh6z1TTegjL2nCggiFmRbEkW5jKbjKDA9127N5h2ytgYhdVD1Dm9Cgenj4+lCABkfRpqCwFR9RyjRpe2OiaqsjbSzIrINQohXr6as1Z91NYH2miUwA0hLV5kbJiUty1EMt88GISCgHOoVi3VyJxvUtTWX1iqBGWA9IdqTE/zWXeetCglq0pb5xkICxsVOn+hRkTuL+u2wX9OU1KoNu4h/zTeWHB1smyD7GVOevaYrkfUdo87aIDzRwWQtoyHFnN+2ddcW8jYTXeqB6KcO7NQW8rzMq9+29U4qMMO2rSsCM95mAtO1bd2HrHUCm7V7u3wYCZ9JCGVmJxSYysrDj5juFIGp8upn5eEiMNuc14QiMCXR7/pO1muszR7ISjFt+Cim7c8Tbo/ZNiGm/FM9al4grgI4tTEyK0gnEVAlHq/dti7T65GTmNDJZNT0NCLMS3Tp29qrW7lbTNOjyqxuW9dsELS2U93y1dzANIgIgwJTkbU6OdwsgekgQOUqvpJtN2Wa/uRPU5Mree3IiJcAwLMzZgdn8Ns+2BCB6bPV2ktCCasOtYBRqlQnsCHkT0OetX6klypnjw2CH0GAiTo83+x0zdaUtZ42k29lsh6woCA+CwoOpZE6fiSXSFcnTkOUtTWeqsLIWb73IYDClbUqTe1DbablqFl1kss7BgtR8/q1pVCvXM81uPrTCF65UQjMQl0bhNp0xHVUZ8AuqCygO6xRG4WR/6quvOS73mb1uggkEmuz0hVGYOrKaR8iPSyvIGBQ3cK5IBFcrz3bp8h4eJysmZxmg0DByNQha2UhRyYwoyqJnbDptfeNYVlOHxvqWVtPWYv25Jf3OgSxX5rorlRzcdL16yuw+Ohj3aYHRJQ/bsjHtV6fqPt4uq/HP9ZGWJpiC3mU5w4qXpVBgzYILlWi1ys3yhhGPIhD1K1qXgOvZ0/QqSACs6Ft+mE2CCLgpa1wta2c2kBMB2zJ90IFhBVjDJ/xdkskcYj1hBrDOOWhLQ6oum6fDYInuJiyclLtQB6nxsSRPZDD4Cy8a8pavV7l7a0ClLddWQutgUyj5lmnhgoBwxdGe8BkLaOhLfp+29Y7qcBUZJLftvVOKTCV6s9PHdhJBWbYtnUXgdlGVaJzLp9t6+JjR7XX3rw6wXb8VFHxOFU6oMAUxLQcnGd2IYGpvCh9B1YdJDAd2xKfwXtS1nW7LUQcYjogr5bsJyptvnfiKq/ZYG/rmsAtraBik7XleKKGcFJtukt61rZlZV0jwmrIH01Z2xKBGaKsVVv5MNiubvnWlbUtKnoDtpiDmEYZC8/aALI2KoEZpFT2omDZfT7+m/QZ9TYz0dE9gP3UNXh+2j65pi8xoROYkdqTmMjK9z7kovoMQc2cbest+vMGBfzyWnW42lMAEecoBMMWHUI8a11byv38VEPsF4LSrPpGJyKTw+J8IdvWawhMv6TVZx5yzybXFOnko6yNsm3dZYOglJDVtGINKmvrEdPOFvJAT1WVWPUjkNSxXs8OJ09+lVK3GQWmsxAWoIR0ytjTn6rTBRPT7mtz0lPX7q1Pvc1q+fNetZPXkHr1EpgiTbmbKdizVpdmefIq7X5ATPsFJ1PpOqrRiMSIUtbiXnbKJWJ7AlehshGk1Haegd5rlmXvl2ZB2afDd96PmHb6xJrE3HnDxfmVc4CyVp3Prz2hzDPOPSs/9Ln2wDbsvQ75UwQ/VSRWmI9rILkWRhrqhF4pOlkbWYGpxumJekRxVf1bDabW4sKkeK6EEMViATbmEmH4KVzta2lCgRlmgyDTx9nSpumbbksK1xBVryJr/QJ92em2qHJVde5JW4kTHFsVXVmrBaxrZUzstUFQYxicX43h7OOMjtogqDac0Z8f8v7WnSdayqsOtTZEUkHro6wlR1nLbG2nwGQtIxIUuaL8H4MVmG1WzMnJVtJnq0mnCExFmikf3l2lwIxJOwJFGgYRmO0MbKYCwuHcfsR0pwhMR6WU2XUEZlWlG6tu5d4FBGaoAkwnMAvtJaahwtZ9cf2CuCWMNhPTIavugOMf28a8YoKoVpQzPrMrpQRFX9KuAQyIKbELLx53BvkOZD1nLbPtAcYwoVfnUyv3ul+mm8BsZWDq3mLupInze1SS7fGs9SfecD6UsejmPYF3GiYw9fQCVKciTdMS/mcqTS8iB8DSEUb0SVJcRVGuaU/NlLFKLxH37ddVvkuSIUjFq1tPGyEwFcS2Z0VChJCn6roKdUm9+nkNtV3wTJxE0poQy6+M69ZryHb5Khld214USehH/NQudISUsx+xHcC54T4phqTrq8DUVYiqzWjkZ61iz4foMtzkXbA1QBBZ60+uwW80LOVCBCUk5szKyqWanFUlFgPJWv9E1amC8hqowJT3SU3AtiAbBM8zq9qewhWYehmbG8epcsdmLU9BcldFTHsuWR7vR4br5W74XLcfuVu9YCFLttPzGU+HtWG3ApMaUtY6SlOfdqjKN5iYJv827CVPcQ/pfa+TZgBZG1Kvvvesn3zOLxgf4F0glD9Vqj/kUz1LG1PWhvjVBhCmerpBz7pICswwCwTX51hVtwN9lVQZ+ylrmwlsFkQUo7xV4FA51vVLsykCUw+gFZJ3FDd26viVsSpfEPUNj4lDyh3nKybUTqjam7JlAjNgfqHO5widNB5Cla94JrYyFveoemvasBr3yHxXF5zbTNbKdP1sEFDp6tO2qWsRbwH/aGvDLsixslDWtilJRi2YrGU0pA60ApS1VQVme4kuZXGQ3IUEpiKcrIDBe6cITLWV24+YFtclr6fcTlJP1qvh5wsnrCY6Q2CqiW88gNQzO0BgluWIvoJt6z4DrE4RmM525ECytv0WIkVHfuFPTCu1bRKDtYCAF60FigqY+MqBTjv9Y0GQqFgbWbVFX0NK5j9lmK0RmJ4t5sqz1hs0QhE3UEm2LcCYZkvgDBLV5EojT0G4OQqcFqwQvH6neppelWRblLUBtgSorzJsEDzHtUwShylrK8Fq3kYIzKjp2Z/bylpYL3jbU1P+sSFb9lV6QEXeh0FpOhGy66XpsnnwIYc9amzVnprNq27zEFXpqtoI5oveQF92mnUmkqXmlLX1SBiX8jOsmP2e0QGqT2RVTdZUf+DXhl0KTJ0oVeWjPye9+fa51qJZh5iuE+wriKyNjfT6H+chpn26f/8t5FG8pCMqa/3KFwgkEpXaO8AGQfQ5+jPZc8lqF4FfexIEpmMhop1CeskLxEMI1ICPFVkbmNeEh4fUg1+FcLViu7TyrfUZE1SJ03ACM5D897PVcHnWmiEEcYMkvPcSvMpaRdYFkLXq3vFrw67nTpgNQhBZG6CkLsprQfn6EtOKXAsinOoRps7zXOuvtS3pSuHZFIFZL22X2rHi1Cs+9nvuZBshMFVegtLWx7pyDhP4rGuUwFT5RhsOqG/MKYStkoHxRHCAMWSzobET2qjqv3zJWjsgrGhLPosvLdsgBPjUq/GECjquBxizA7u1QeXqUdaqcznl61GR64relqG19ZK8Z4X1gs8zynF4aSNZK85HPsHFdFUve9Z2FEzWMtpCwqjAPu0kMEEiJeUKoiINdwWB6aiIA4jpThGYyjvWj5juFIGJbbDi3AHEtApO1W4CU21bV2rWGqhV6TYSmKrcjIR/mp0iMNVKq/JO3RUEprofKgHKuqwTYM2iYqAspZW81lnUaeO9U5JtGINEv4Epyl2M202zPcG+MFjCajOUtTEfZa3sI1MywEI7lbVWKl6dTMp0neBN8hjHP7aVdD1b2l2r+aoOYbUgB44te+UGEG9i6xom9AFkWLPRhdX2eF9lreFW83rRzCC8quQNuC9SCREUQmxbbEFtGuQ5XK9/bTVNhxz2sXkIU9Y2rSLW6yWi0rWaZsB2VI3AVIFDXHkMC0TlY7sQhVzT0w30rFV5iuDdqqCIJMzl/YoYn9UoMP2UtRrJU1Ov4nI9qk/VTzRKYNaQte6PoUJNHrKGYn1ZJ20FJKn4r0YITPvH2iJDXWuAIGWt/8/qKjC9NghqDFZnB4iu/AxL10Um6gRhmNJVs9XQ27Iia+sRmPB7rSJi/6gWk33GtQ3dO3rKhknGthmyVMDjQM/aYHV4vTZcG2DMq6yNudTTqn79rBdEupVoqnSnT2xEWRsPV9bWW6wDqevbJsN8W1W6jmK8evPVXayLQq6FBdlS0HZBKoI4jTGxzz2Aa8HHth2t1bw/uydt+MKHPXca8sr1Wk8E3MvKrhCetX5lrBOYDXm5OnUY8827UNZ2ygZB7IKo3YGFdqkIzKSa13jSbnacGBZgrKYNe/yZ2+aVG6SsDSRrq0ritkCeB//1fUQqGwSx7tk+bW08nqCf/OQntKuxbt06+vznP09LDUzWMhpUWvk/GDuxhbxS1rc37zoC09mSG0RMy4FJuwlM5TGaCiIwO6DANOSAJ8jeQvkCt5vArCqmw1fk20lgKhLeDBo0dYjAVPdEEAnvkLhtvHfKKq8Biul4Mu6oqUu6l127yNqAenW8p9toIVKSMzojYBAOcgU1ji1hbVnllvWECawJGwS/gFHC71Qqa1skiMXkTqYJcljBGSRqRBiObWqbfh1lraMOVCyPKmeHII6owAxKz4cI07etqXvEq3RtWtGrzpMMUtbaW/nClLUNqTTqKmuhhCFKWcHK2ob8Y0NsHsTnsjyjkrVQX/oRmFGVRl41dn1Sr057crau+9/zfkrXYp00k7oC05OuuAdDtss7RJvHqiMauabacB1+y4+ICVB9qsdXkGLOj8DU/T1jqoy8s7OAsotKrgUSmAqOGtPnmnuzmsLWqilfwQsFXF5guk4/ENCOQspYTUyDVZ/BRGKoDQKO18lVLV3ch2HEtK8CU/eSBYJIaQ2Vux+lyj8fdv4uO8pa/+OzHhsE0ZZC6lKHbuPjRb17R5W99341N07Yr0cmGg4wFma9oNdrEZHvPQpvdxqaqa7eJ9WxQQhWL6v2FJBe2IKOz0JLIwrXQAVmFMLUx7e2RpXYDIFZx3LLdV3Fiv/2cQ0guUDk6tfXqHeqb9ryOoPqtWECs56iGJcnF9u6qEreNeULH5S25smrA3koYqFbP9aVZgsKV10IptU5rC3UreDMJz2iMUdZ26yi14coVvdONkhZ20z5BkHN09PVnXVp/d5xnlHaelvrqcoTKRsE27O2BvrnEeW84+Pj9JY3v4X2WrcXdXd10+pVq+m055xGf/nLX5xjtm7dQqeddhotNXzta1+j448/noaGhsTrlFNOob///e8dT5fJWkZDSisVrCdQgak6tDb6qaKTSAaYs3dCgekEg0nvOgVmpWQ4xHQ6QEXcCQWmWQwf8LgITGdrfftUxMp6YFcoMFUbUR6xu4rAVCriRAAJr3yWYm0kMB17iyAfPs36opRvPzHt57usE9bxNirwy5g1heVVqv1AhLXDkkARYVBfAjU2CEk3WdsyQayrAyVZC385ZxCuE3IVo2VLAnuLuSQUvDYIQn1SVdeqCXZTBGYd8lQPGha0oNG8DULwgpy9lU9aL/goJespMJshT0EWodih/g4mYVQgkghphgXfAjzK02YITB0OqR10DzoTV7cNQj2SOMjvzXlGB6TnZ9XhWnCgcA/MmntHbwd+dajKGT/z3APFhmwQrAbJWvmv1ZhPrv6dv7JWqmU8uzKSh6yl+Fhf9QNvuq3aIKhrCCAYHELV8ieIgwjXQAWmWiQKeU4G2iDIwg+s16C2pMg6b33qfweMexRRJ3aKBAyJaxSY3vYbRVnracOVOnlV9YrqE1P7RrrjALIWxK+6jHrp5j3FZc7m3B8E2CBYoZ61AeQamgq+8ga2rPGs9dogyDYWMGeo620ddL82o6yVFVRP4Vp3C3kkO4BasrZe/98WGwT9u3JVWRukcHXZ79R7xkYhij0Lhm2zQYhAFJfl2L6bgudP1R1C7QtshjIuJWwLKX8bBFmvzRCYancv7iPtflZtBLYAzryjZpzYog2CaydPso6y1i1gQJotqVzFFr7q7kF1LpfHtPPWcki99tkg2C+UXL0FTdEtRkj33HPPpVtuvYW+8c1v0D333kNX/+RqOvGkE2lqcso5ZsWKFZTJeAKLLgH84Q9/oJe+9KX0+9//nv72t7/R2rVr6dRTT6UtW7Z0NF0maxkNBb8KUsxluqUC0zDaRmA6HqMBwa86pcCsbgFO7DICs6gR06k6aqh2qhLDgrTUEJhqS1kbg18p5W6QArOdBKYZYetSJwhMZeURlFdFYLbTQqRKTIfkVX7XTlV6XJHwmXAFvlJWtwOVOh7TGNxhroIt5u30j8V2LyDIBgFtHAswKmpsq+nhvJKXdqVpR6KtTgxatiQQM24lVZDKWs/A1GtL0AyB6a+srfbzamAtiGk1oa9R1jZAYOrpecjosKBmzRKYjShrVb8jyNrALamK/KnfnpxyCrJdUFtyZTmEEZhOGYfl1af+gshhTDbqEaf1bRDMukpl+7qwoGqfo56yKnTirNWfr1JV+Ae61eZRg25VF1dgr0LN2SB4Zkj1CGI9XW/AInsxRj6rPP04gozF143pCTdlgxDYlgI8a6sX4DkugvrSrV72kvB12pHPpSkoVWVdBaaIF2bVJWtF0Cv5G1c/pwdm0uo1kJj2EJhicq/3yWHK2oCvVLFl6xCY2AprRa1LlaSmfgTJqp4FOjGdDmj6dT1rFYICjPkqa8PzKghMnyBu3gYi0tDmLc7963OtsI+oR0w7fWIbAoypSio0QGD6jidCFj0dOJ76Olkbrqx1+uFWAoyJ76oepvWIaf166itrI5DUMt9qXF9fRdzoWCI4bahbxblDmLOmCMw6cyiUMcbForn5BBvXy7dhAjOApHaR8Oq6AmwQmla5qrQ1orjm3lH1IQLAmc7n+qJT87ZrpmvOAWI6rvdp4ppiokyFEAo8TKUi+tLWXxWyJK8TNwOOkZeC+U69ep2ZmaE/3/Bnuuiii+gZz3gG7bnnnnTMMcfQe97zHjrjzDMCbRD++te/0hFHHEHZbJae/OQni+/wDLz11lsdEhV//+53vxPfd3d303HHHUf33Xefc46HHnqIzjrrLFq+fDn19vbS0UcfTdddd11D1XHFFVfQm9/8ZnEtBx54IH39618n0zRFup1ESE/DYFSBSOqiwQSRtV0pWpTvC/kKdfV4Iwc357sZq6MOdMjjNpJ6ipgOUgcqAhOdIgjMbJvyChghxLSzhbydgc3qBaIR/kcyr7kK0Ui7g1/tuiBujhorZJAjCMxS+whMNzEdTGCabSYwVZC8sAGdUhgrFW5b7S0CiOl0d5oKQpXeThLetFcdA4giYYMAPtMwaboNW5LURLooVa41g385SMNmMJBvpVhCEJiugAANpVf1Aw0inDARFERYGcpa+55qmiRW7RBJeFRa7qBmRacsFIGJcSWObSSvrmBRurJWz6scpHr7vkYIzKjkKQgRKyTAmCIwF0o2+d+XaawO/aDsLbKWKYLEtcuzNlaXzJQqkJAJLL5bKKnJScD5QiwCXNdRrri2LQZHAw8n9Rw/zXr5E9dmiAledVIXnle/dJ1FzRBSAwS4ZdgTJErrwa8oPHBQEJGo8qHaYEiAMfwy1oDvpi+BqSolHqP48n6KdaUo1tflk6b23nPJxYhKSLWF3LtF15noBRazn7I2AjHt2UIeWREursVfvlw3wJimwES63UmPJYEfsSY6UcPdz/nmtQHFtGfbfaDwIQRmneBXOoEpDo0YYMw+qQwwNpcnYy5Psf4sJQ9a4woaF0RMBy7qBNkeKKiy9/WsrU/+oy/G9Yl7R/X/3lMFKGv9xCzFSMR0wP3qly8Pguo8OoEJCymzNSsCeSzaEp4BofdOFNVnuTllbRBp2pDKtQHPWrWzrr69kU1gBqoXGyDIQeqh587KuAl+aErl6theBCtrDWkh5aus1QjMsmm51aF10/Zva642rOobfSjubXn/tRxgzIcgr7l3kIYyPS5XKJVNi0CmsK7BokMqwJIucr4TCSqqZ45fG0ba6Ov/+C/KCjuEGJXaIccUZDFRGnYH8RiVfKosfdyhopvHCyUclixIUrx++tOf0rHHHhtJPTs3N0dnnHEGnX766XTllVfSxo0b6W1ve5vvsRdeeCF95jOfobGxMXrjG99Ir3vd6xx7hYWFBXGOj3/84yLdyy+/XJwXhO4ee+xBzSCXy1G5XKbh4WHqJFhZy2iIhAnath6PVxWY7Qr2VQ30FULWqs65jURXzPEYDSH1nLy2h3RSUbnVecMITPXwb0/C4fYWuu+p8rdtl71FBT5xAYNIxwNZKjXbk3C4vYXe1hyys63EdEDAOnlPKWuIXREQ0P5OBUBoT7pmxaREHWJafY4V2EqbLC7MCMQUxjEJBCJoR5oqSJJ8fHpJAqV0xT8g3wA18WxZWRu0fVAj39Tg0bVFsxFoxJuaOHgDQnmVtS4PzEbzKgeDrnx4CWKfgFHOd02Ub2iAMXjWxoKVtfoks24gkholTiJcCRPiNBbkzxiaXtAuDdnP1ZtIimtS7SmkS3TI06CJsGYTUJQNExOZIGJaXU+pToCxQBsEj9o8SlAz/buaeq3nOax/p7UZnMasq0q0P7dFZB51nv7MCJqghSprgy+3eu9QjQ0CnsvxwZ5aX1U70epbj2enTrD5wfm8urPTDYfgq6OsbUC5rKdb009EsUHwXptEvXpFG1TEmyvdIM9aXfEe8EyORMKre0el6SUowviRgHJXZG1YGQu1L0wQqtLakIS0JD3jMWuuICwRlBVVeL1GfNZpXu8CYcraCHn1TdfXszbu40lshhLEQWRdTZo+RLP//Vpb5yrAWD3vWHegJD9lbYR+0WNhpO4FZDPoueOMYVq1QdAWCaMR0xGf63ViuKi00STU3DlIvZzRCMwAO+OGCXLHLiuErFX+vCo4VySofimgzO1dSVJZi3x77okkrAriDY6d6pDzrjYs7jG1w6VS2yc2u7POp63VkP9izOHxKVb3Tivjf21hIHQME8GLvGFEvWzJ1NrK2vBDk8kkfeMb36D/u/z/aGR4RPi/gmC9/fbbA39z5ZVXin4RfrEHHXSQ8LI9//zzfY8FEXviiSeK46DWhSK3UIBEiOjwww+nN7zhDXTIIYfQfvvtRx/96Edpn332oWuuuYaaxQUXXECrVq0S3rWdxG6prL333nvp//2//ycqoa+vj171qlfRxz72MUqn03WjvIGR9yKfzwtpNcMfWAlWW7kVieYHBPgB4VRuE9Gl/FQtGdnSDwk5EFAEa3uDXwVEOFVBqqDAbBPRVSkY4mY0QyYNyTQihmOCbbbfTzWEmFZb6Y225bUiaC4jEZxmKpNC8VKikYFEHag24vhf+ibsjuDaKtTCRSURTEyDwCzKbfNQ4iaiTBzrJixtS0IGsn6+jq2gqCl0MwH9hG3xYcuNSoUKJSNsP42+pT0gr07gMYuMphlMDbJt5FSEbJ+Bk1DZlQ3qjps0JwemvU0K8C15v7uUtd6JpLatPZNpcjDspFerIqwhiZWKWet3MdFZLFuND4jVOTzRs50JLHxyne1tRnOTqyAlbwBZm5CetX7KWle6DXrWBin4SrItpSW5H5amQ8I0WIcuyPqLCaK8GpTOD+koJLxqo0HkqQq2YyJ4YwQ1r5amr9ooAkmANiPU5vCD74lmg1AlRAKUtRHIWvtYqeRRoljMI4OIaTXXs6xaVQrGIAvFYCLGX/RZ13fT/s5NTjnEVT1lV4CyFsVbL/gVFJhKLIx0s14Wqa4NQi05HUUJGVSvziJ/mGIaCntPmm5lbXC6KAfcr35kbaCyFnApa2vzGkYkphUZorou7xiqKWUtRWhPdqAZe80heoAxvwWsyr8eoV7TouTgKsqEjBOzigz3EJdOnam/vVmOhyhrteB8QVD3bEn/vZelkIH6rBobhDCyton7NZJnredzeYooBKbq/2tIPVyHEhiEkpZuAkuRXCALg4hplaYdUA/P41iTvrFVH1GH1AsrY1lHdccwkYjipGgSijBNB5QxkkS/iJ0GRcOkZD0FZgQLhhzFaUiQtfbz3e8ebGbsFKbqxXNatBExdtIIU48KF+nmSnKc2IglaRRlrVqkRbooJzmHV8Q0yrdlGwRvunp7Qp1A1OSQtTFaLFXbfEtpp6q7g/yVtfZ9njzxCFo0YpSIxWggbLU2ClBe+YIY3hVSaepLJ/x3zeEaDdvF3bb8Ce/zX3DOC+j0555ON9xwA910003061//mi65+BK67LLL6FWvflXN8ffddx8ddthhLp4O1gl+wHEKK1euFP/u3LlTKGehrP3whz9Mv/jFL2jbtm1UqVQE/7dp0yZqBp/85Cfpe9/7nrBg6DSHuNuRtdPT0/TMZz5TsOI//vGPhanvO97xDiFF/tKXvlT39y984Qvpne98p+uzpWhivJRQKdvei0AmQFlbVWCWBRnXDpjOSloEtWkbVYmKmE4FBfrSSNV2bSGHajVZx2M0lU1KArMTxHRIVyDz2i4CE6rVeB1iGipUlVcsFjSzdS/IyiPI3sI14W4TMV2WCw5hVh664rZUrG5jby3hcI9pP3XkrrDywOcgrnGPlXHvRNlDXjdhWa9BKkI1gCuZZLSBmAYZgwGJCuLgO9EBGZZHgAer9ZV1h1BIBHp9CnJYHpvtbk5tGrSlXVfMOcpa9Z2m8m9I+RmBCHOpCNQA3bOrIJCEiRwswscGoWJR2vGs9W8v6raKMtHRyeGgBQWotDHUy4T4vet5rbtdso4tgV63yTpkbSRVSgTSS6RZqjh9YhSFkwjCbNZWU5gy2k9V5VpwCJ2s11PWhvenlnOs/YypWiAEpwkiQhRbRfI9Mbey1rmSsLJt0HdTXJMkQJxHndWMQqeWSBTEdMgpkC5sYXzXzeQ4MziQCTVlg+DcO6b/QlioDYIPQYwgWuqvUOJUfGe5041A1roWiQyTjLsfpXQ6TsXBHpkfiqwidmwXnIsPuY8Dyl3ZU4TN/YUqVHG0+E9ET0oxVtDtPjQuENu4s4ng8Vo6qP8PCChW/TtWN8BYlPYkFpMqBhn3bSNroVCbhn4vqf7IrO2/I92vSoGvPJCtdgQYq+9ZG9wnas/GCHYAisCKsmiGehWEO8YeFYu60z6LOuqZEyq+qHqYVhec4xHaUz3P2miqXpMsSpuWINe8li8KyCfKAn6quMa6rnoRbBAW5ZJfXPhVm779W0tkrU++HXsjLFLg2oSdCyyB3PcviNMcmY0pekXa/vVd04YdsrbSWl59007W7iLR25NnTlVd6Ghh/K/lO3RxBeUeg5etLYiBj2ykHSP1kEiQJfzUE2KO5fh96zBMipFBcdfOinCA3HzWs54lXu9///vpvH8/jz7ykY/4krWNIJWqtjfVx8JTFnjXu95Fv/3tb+mSSy6hfffdl7q6ugQnWCo1Ho8H5wBZC89bnSDuFHY7svarX/2q8K+4+uqrHY8IsOMw/H3f+94n5MhhgLEwfDIY0VFSCtdYjJJBAUQ08q1dpJ6KDhvmMQqSsdJGAhNK2SjEdJXAbNNWbrXHNCyv6aratF0EZqJO8Cv9mtpG1hYrYiobRkynNaIc7S/TlW6bihikd+AxHi/HVgEyP1GHmEY9Kg9kEJ7t8HuOO1YewfXqELltImuhlK1n5eEs6giyttJmP+16g/Zye0j4CshaRGaNiwmU3yBcETfdclt704NEkZ4iFOL1bRDKhqPgaHlgKtusPhF2BolaACfvdw2TxAH+o3peHRV4oLK2ifRgw+LjmYnrzyjftXo2CFHyimOUGiqgz8tRTJC1KSvYt07VOeY4OGUYIRZUpgpCpRmHmscOalZPMVcvr0rdHkZ6iXtCkLW4tlgoQYwkQz2QoyprNeKrXlCzKMraRm0QCo7SNPhnKl08XmtcgfVJsU+/GqT6rBdZXpxafucopqMGhML3NgfpIU2reQlbSEA3vVAOaE+ODDEwcfe1RrQGUErImjRDLAmqaXquTcVglBxYyJDYKX893VDPWjXx18Za1kJRUMOpZIwKfY0Q05b/WCYsTLjPaQUt7ZC19RWYNRRMPWWtTMWBvPGRpBnRyqMkBIRavxkLvwanvn0Wx6LcO6qM8Tgyd8ySNe8haoGaAGNVKxhRB1pZRkoz7r7XQAJGt0Hwkp3yPA0E3apRBzrjhGR4HWu+sfp5wkhTYSGSiInrA6nX7XVsdC24RlPWVsm1kDYcZWESDdOxGQv3y8WhScus3/8LsjYiqRdh4RDPHQPEHeoFfYnPc7kpG4SQHUKKhBdEO+ocEQ59xk9NE6dRlLXO90VXH9rIrqQoBLlNTPu0J09bD7x3mkk7WU9ZK4UU0sG+0fhtvpA7JNTVB97mqtvVA0w2iPUHrRc+tn444IAD6Dvf+Q4Vi0VHXPmPf/yj4TTgXfua17yGzj77bPE3lLaPPPJIw+f59Kc/LewWrr32WhHMbFdgt/Os/dWvfiW8IXQz3xe96EWCOf/Nb37zmF7b4xXVrdzBijmBNvt9OmqkkJVTRbwpArNVFGVe6xHT6oERtE22UTjqspCV2oxDYFpCgdnO4FdBXsT2NbVXgemQviETX+GBLNuaIgHbppgOyatjG1BuHzFdz3dZHCcHTsqnuVUopXmYYjou23C7PJANee+EEdP696psWoXYyi0U0yHtKcDztBmAmMKABL6mgQN/mcesHLo07OPqpyJMxEMDjKljm/VxraantrTHawbhDjGt6li3QWhWRRBA9LmUtWpwGqCsVdslI+UvZEs75mBiLiZ812Iu5XDTEw6fgG1e5C1pS2BnxvcYFb8iSrreOgzz1ANZG2qDECWwmexvQpUc8lrKsvzDyDWhNgppx1VbifrjEVWejXkWNuaRq3+n9zFRFHOOKtFHlRLTn1WhNgj+ZG2UAGOOAlPzrK0Ln3SdNOvMKkLJ/4iEcaP+vIHepmHEaaiyNhoxXWNJUM+zVhHyAUR2JD9VLU1BKHjImBqlrZ6+T16QJCbhsXrENGxsVBtuJMCY/gwQCdrv1SdhbdiZGqDPNsOUtQF/e54ZBrz061h52NektfmAbtGxflHQ+w7PXKXq9RzeJ6r8inbQgrK2StbW96wNVAdGUHj62yDU74f17/29cqtBl0L7Ck18UVTPnVAVcQSPUWEdZNZX9SahrLXRo0yCA+Bs049C6kUJMKZ7xwbuDmpBWetDFCuCW5ShZ1eLK91mx6cB1hM1vssaQd9U+YalLc+tygyLyC6LjhrP2haFE96YFWH9hGdR0bOW2hycc9knD1KH60SxbYMQjMnJScHhXfGdK4RP7cMPP0xX/fAqYYNw5pln+v7mZS97meD4zjvvPLrnnnsESQplq5109LGC2pF/66230m233eactxF86lOfog984APCdxfWqtu3bxcvEL+dRHJ39KtFdDcdg4ODwpsC39XDFVdcIUyKIZU+4YQTRMEfeuihgceDycdLAapeABXcaCXvbkD+MNhDEK2U3ModlmellAQZ15aycXw3g9NNpRPYbSzUsFBgpsK280dAKVdyiGnR2QXlw8lruS15raqIg/OK7QdmLE5xy6RivkSpMCVhBORhpiORTMWC03UmvUZLeVXtSeVVbBMKOZ9Qm5qmCDRhDmTbRkzD+zcwr7JeodZsR70qmwzcG2HnUxYiIq9tSFfZW4DADDqf4/fcpryWNRVxaF7loKpSaO3eAbmA9pRAFF3RhpGuFUjWKpVd0DGR0xXlRVSWylq/8ylyPgOlpIi4i+dFk+SpHKxZiTjlC/b2WxAi+vksRdaWDErF7WMwuaoYZvAAKzA9ucCQiIs08iWZZqKaJr5Twd3UZ5jU4V2+wbw6izdJOz0FRCnGXwjSo9Kzy756TFJOglS63WFsgkpPW0BR5zJlW8pJIh7lKUrNsETf4V2kBAkj6rVSP6+6X629e7X2+LxJVBFKGPv6ghRSaG+IBo68IiK5b3rCS1ASHrBzCLg+fCfuG8sUZRyUD1H+dfJabaP+94PKv1qQsijpak++6SZsD2S7PcUD0gu+5/U2ivJAuan21GhenXvC00Zd6TlkbcV+zlkW5aHAoZh9v4ZMYgSpJwXY1Q32dh7iB68WEzFsa/S2HXtCZqeln19sz1Z5DUgXtwq+wQQQx2CsI65W+ieGwZ68meI4tRNJla/oE0N+j7IQ96tM13Ve3If4n7A39ulXldITizOGSeb922h5IUFbugYEbxIlrwZ2Jck+EcSlSC/kmkW5YxIqCTLxXh4q2nBovcr2hGuVx9lkqUUmyE1v/kUfGnA+yxILJqJeQ/NqH4Ovkd9kxXCdE4ubgXlV5asBV4urQl7t8wbcO84uf7s9ipc8V732RL2Zqo2AIgiUci2kDaMW8egD15uvmJSS/bSqMydfnvZkCkU62pG7LFQbRvPAsyWoe1L1KixpPGkp4sLqTpM1Vy17E8eBZEH5V0yKJWvTDbtf7XRjIk20g15xj3vqCosHfveNdo3qW9w/ioBNx63AsZgKkmePYbRjimU7UBnGVmHjOHFNNulkGQbltS3iYeM/xytdjDE8c52STDsZMW2yqCLGGXHRFwTOJ+N2eRS9edWh8o0xAOo6JP2KaI8G9aCvDM1rQBl7YVpO7A3xfAs4FufBzi9sTRfjK5/j1FDJftZFG4eLtNENYuyhFlXkvE6vV/EsxHGY/3jOnXLVa/TxfwxesCJtd74dD2RVr6m4rfDE8UqMJOsV9jtlxAVpMBhXDGWopZ2Xymp7/K/lATYBWr6bKeMayLaOtDEWEnlF8TrnU7SsPYbQ7388T2v8uhuB6MPt/kP2auFkrbOGFNyH9fb2CL/ZSy/9PD300AYql8u0du1aev2/vZ7e+973eJK3nyN9fX0iCBh20B9xxBGCswNh+vKXv1wobdVx+m/Ue/2zz3zmM/T617+ejjvuOBodHaV3v/vdgtPTf+M9hxdf+cpXhG0C7BN0fPCDHxR+uLVFKMdnPpxhI21it/SsBTnrxdDQEE1NTYX+Fqz9U57yFGE0vGHDBiFjfvrTn0633HIL7b333r6/ueiii4SPhhfj4+NOhLnHKwyjQgtzCxRbTNIgSFusikwEl3EZ/qIgTRcLocdFRrEsHwKlwPOpDgsd1Pj2Scr0hGznj4CFiTz1Iq+x8LwWK2Xqwip8vtiWvJqFoshroRKcV6Acj1G6YtH0+DQVK6Cpm0dupkjd0ntzamom8LhipUQZyyKjEH5t9YC6mkN7yhWkGb0RnlcoOSyL5ibnyEy2psIs5cuUloaA8/OztLDo/wTLl4rCwxEPyHbUa3EhT1mUsWmG5xWTIcuihdkFSkw0NpDwAg8AKGuR24XcApUM/34qV7TrP16ptCWv+dmcyAPyEppX+fDKzS+2lG6lUqKF+QKNyFXrxXyexif8vYcSBgZ6WCgo087x6UaEWzXoXixQxTCoYJqULhdpfKK6mKeQLhYoXalQrFikSrqLpmYrNJ7INZVedj5HyUqFivk8zeXjVKkQ5RcWaFy7JZK5PGUrFTLmc7Q4PSuOAbbunAn1N/RDenZBXHsZC5UT07Q9h7ImgvhzfGJaHJNYKFJXpULmYp6m5WelvH3c1FyFxjPR+6b09LydXqkk0lOYWbTPV1is0GSxQj34wzCc9BRiIM5Nom3js9QfwUEkOZmzywrBBeS5MEFG31QuIM0YGQkM6u1CnNk+RZZHQVOQ1zazUKHxifBxgFNWcaq5doXpeaKVIMlMg6bGp8kMskIx7HS3T86REbB+hcUXUVY478xsoPIIbQr3RLpSDu3/87L+5xYrvm0d6MkVBQk0O79AZtn/mGypJNLML+SpkkiKReDxieB2YpXtdHdOzVPac8qexQLFKhXKLS6SKUYmtUgX7HuwPLdAC+NJEfcDmJ+ZpXzABGaxaKc5nyNXX9I1n6dEpUKFXI4qE/6/TSJQLdrVXI4WphI0XzRo0kRfkaJyyaLx6eC8GuW4IE8qpknS+VZgdm6BzC45pinVlmt3qSzsc+bnFqhiSULZQkwyW9W1OF8kKyDZxQrWXxO0YBKNT89SeiFHGWHFU6TC9CyFoRfBREyTZmbmyJJKp/HFGFWMOJnl8LyWS3GqGDGanC/TuGfTfCaXo7RhUClfoKLPNeBe6jYMMkolKj26k7qm5mllOUaVdA/lFoo0HmA9h/k88ooS2j5VdATZPYWieFbOoh2Z/u2oC+0WJNP8AlXiBvWhjMwYmXDoq5RpfDr4/i8X7bxOLZTt/h8TT9kQZ+YXyPI0xDS2eQZYemH3wGy+JM6HhfbxMFsSMyHEuVunijQ0t+g+p2nSVED9dpft9uROF/0HrAkqop0EoZCPUZ9lih0OC7k8meUSZQ2DKsUS5eu0p9hoF3UhbSmWUOmaRoUK+RyNT4eQvWZCbF7YNl2kouw2u4slVz6K+QKVtGtI5GQ7yhcpp30+iz7HSAjiZ2LGvx8D8nm7rc/mieZiBZFPpxyW91F5sAtbwiiF57L8bnpu3r5v0E9Oz5KpqeanFu12UiqUaHw6eJxgoQ0bRNtnSpRZtO9XHdNzC77K+HihTD3yWIy9DNOg8YkZqlTsRcn56WlaCHhO5PMWVSoGzefc4/X01Dx1o3+tlGkxbBxnmDSonqU7JwnFXamYVClgTBxcxlhkq1Qsmpieo+6K+z5JzebEM84w4zRfZww5gMUZBO/FvZNMUm5uhozFgLyW7LwumMFzk8RikfrwPE8naa5O2vCMFfYchXzoWBeBb5HXyZl5GqbFULJ0QJXlbPCzfT5vUBFLLKZB85PTVMLD1AOQ/sgrTjc+Pll/Ud+yaDBfEDzc7Nw8WYW8a143EzNFHrCgniuXxLM3Pz3n3JMKqHfU//TsIk0mo48TB3J45hs0v7BIhtZXzy3aZVdYmKdJI0bZYlE8h4szc5SfqHrMYtEdvciO8alQBbsf+hZy4vm/mMtReYJo56JddlgMcN0T+bx9T8wvinuinLfzOjOHuU5zfFHP3CKlUJaFAs2VMf63qLi4QDNY7ISfOe4lCAow75P1EYvFxZPVJqapaeDZCALWfkrLPPsAfRpKFEtgWAzFNQYhkUjSf/3Xf4mXH2BrahqGEEliURV/AyB4//nPf5LClVdeKUSXsD7FMeDylPes+s0hhxzi+mzNmjVClavjDW94g+s3DzzwgOtvL9T3fvD7jcgP5v+Tky4/XWB+fp4et2RtK/jCF77gvD/++OPp1FNPpQMPPFDIqb/85S/7/ua9732vCGCmABYeqwBjY2PU399Pj2dUKmXKlRepUrSVCPFsmkZGq/YTXhS3Fyk2OUepWDz0uKjYYW0R6Q6ODNDQaF/wccltojPr6eqhgdHeltKszIyLNGPpVGgeytMVim2foRTF2pLXIm0X6fYN9YWeb2tqO8UMg7oyXTQyinifzcMqzNhbfVPJ0DStfIximyaFurqVvIpVpFiMClvsTrh7oCf0fPn0uFhNzabD210UzE4sCA8nKKaXLRsNPC5hLZD50E5KWa3lVSF3P4jBGGX6ukLPl8tOUyxfpEwivN1FASZyeTnwWrFyNNC6pCtTpEJsu9gGPTQ82LIHcu6ReZHXVE82PK/d8xSbz1E6Ht7u6qFSLpKxOEUUswf8K1YMUleAsr4yU6LxHXkRfHZgaLDuFrzQdBMTZMRNMlNpGuzN0thoV80xZsEiEws/yQQlk0lKZlM0NtqcOryyeQ7MGmWG+4m2xwkhh1aMdNNQV5VANClJ5rYFSiWT1Ds2RN3b5sW20L6BHhpQIbMjwpgskJUsUGagl/pHh2h6skzJZIEGehI0NtotjrGyBTI2zhDFE9Qj+6FJKlFyviisN/zKJDC9mRJZySSlZXoKsfFFShomLRvuopFsjIwHJsXno8MDrrbaN75Is0WTevq7aKy3/pDGzFtkJucp3ddFvTI9qObQIvKpPkpOFqi/K06pXEaogUYG+ijW4w6El0uWKTlbEIptVSaB6dECmckZop6sU1ZexKdzgsBMxYj6e3soPuL/HOubylHeMqgb7W7Qf2HSypXISE6ILbFjY8H31/ymBcFO9CVjNBbyLDEXDUpO5YRJ7pjP81VMhOI7RMj14bEhigX4ZBvTJbLmS5SO2/fE6ECGxkaD2fWB+TzNGBXq6qk9rhIfFx5uw6ODNXXjqufJPKXTGYoNDFAyuShcKFYuCx5LpAsmJccXxcLEmDbmqDw8Ax8dyowMUny4xz89SpG5dZ5SyRRlh/upMrWTJlJZSpZiNNKboLGh4IXkoWKZ5kEcxuKu3dLDPm1Ph7F1XtiyDKDNDNl1UzYtio8XxcRt1UgPpQJURANQXU7ZfefQQA/FFypkJvKU7umivqGBwDRFeSQnYYpo3xtZu242G2VKLho01BOe12GjTJuLhtgZ5D3OnC2RmShSuqeb+n2uwYrnyEjMiUkPgoOYiXmiikXJRJJWDnVTn5IBen+HRYnJolBK9vX3UC9uNJRffIqsBNHw0ADFAnzxjR2LZBUMWcZ9VEmMC9I3ZsVpsDtNY0PBbXgnVSiZr1AqHRfHiWBUCZvtHxlx92Mi/+UYmZP+ZJ2JWXMiRRBkLh9M01hXcL/eO1UQZHxvXzf15cqiXnWMBdSvscVuT+50MWknGsAzTLYxP8wnEA18QowBeruyIhK7mVikVDZDvXXaE2AND5Dxr6p/YAztM56gZQM9NNYbvOLYN1ukctGint4uGutJVOtM855I93ZTXLsGK5EnY+uceF72aJ9XciYlp0vUl46F5rWcNig5X6ZYMkb93T1kTlQJNrv/ts9plsj5bnRogMzsHFmFMg339lCsr/qMTCyWKFkyaaw/SWMDwc+wgcUSLZgmdXenqK9cW6/i2ehDuln5EhmJmWpQSbKopw99Yl4oIUfHgvv/eL5CyfE5QUy55hwLFYolk5To76Vs2DgOZGVqu/h3ZKCfEvkSJZMlGh7AmDh4nDCwsEBTpRJlurtpxDt2KscolpymZG83peuMIWPd42Tmi9QFVXIySSuWDQUSk11lk5LbZ4SScHhkyH+LdWxe5Ju6w8e5wCTmMPkKDWXCx/WDhRxtw+JiF84ZMp7AIiXSTiVoZGzE9xCh5Ns0LYhpRHTp6+pGw6g5DgvUyS324nHf0GCoh7BA2aBYYqt4O7xi1PFjVvO6XKVLjIkGetPUlSlTbK5Ivdks9XrSHqrkKbmYp2Q2QyOj/s9SP8RiW8UYZBBjGr2v3jotBDbLRvtpCFaBOYNikzlKpjLUraXdtXVaKMm7+wdoUBs7R0r7AXu8Icangz00EytScnKR+ntQr9p4wohTbNscJTEGGB2maSpScm5RBLV2HddI2psw9khS7/AA0WSMkkmDxob7aDBjUSFfpEQyTkkxaLD9iWFGE4fq28LwHOOJFpQpUMMLFjZGCVhDBtlAYZdWsUJxsQ0D19P8XFLEDhQWvUnX/Xf55ZcLUeXq1auFhcGFF14oLFChul3KQD5g6zgyMiKCqunw/h16nmYvAL4RYLk3b94sbAlWrFhBDz74oAjg1cnCg4J2FitKPopb3cc2CmCdADb+5ptvDjwGEmtlaKwDhY/X4xnInyDztEjWYXlOZKoemO0oG2yBBxBcKux8Ygs5VlnLlZbTNeVAFQRm2LlScoLSrrzG5VYO+KmGnU9ttcSqc6vpqnrFtvWwc6WzaTuIWxvyKohwmVcEvwo9n/IFLpktp2vIekVbCTsXgsph+AtVhnhGtZpfx081PK+OL3ClDXmVW3SEjQQGdgHIdqdJrfUahkXpFh6wgKpXWEmE5UH5AsdazCtsQSxDBjWJxagrmwwchCfSSUFeIIATSEwM3JuB2BojV+iNeIy6UngO+EyOZB7Tlr3iLAiUJtNEGxKa8GSCSlg1x8Az7Uk3lbS3q8L2IB6jbCpO5SLy2ni6pkovjXqMiXOINLW8on8UrQwr6tgihfLH9jNpv9BImtgSKnYVoo603+E8Tl7TcTs9HIfr0ch2EO/g63GLR0nX2Y0h+vjq8cgDzoFPUH4ob/SRqkx1ZNN2XqFOqZemk57oZ/2PRRnDVkP0OT7pKXSlMBS3/RmDjlFbq+BXG3ZtlYSdXheF58FJ0/BPExHVlcgPdegbLVjcEwm7DqECSbnbkx9EYDmfvNr3oOkESQxMT1naGCaVsT0QeUnaE5kgdMt6FacXwdzl9j55z8OSKfD3sNcR6Rn2c05vT7AziIXnFSosO9nqcfhNmCcbttLjFzhOnV+lia+wbTro91DcC/cFC7+JiR0gSBvlWU9lJcrcwDVXz1/Na/jvURbYnivqtSbAH4VeA/p5+39Q1Kv98qpuQ8o4FhPXhe3mop+QkebtKNYxiidtj+rQMpbpSGdWmZfwvHZhG7bwGJVpmqhjNCwojHwmvuhzfExehT2F9GV12nFoEDeQJ3ZebdWT+9ig3woRredYlFNctdE6bRgaJr0Ni7rS2mYYhKWJljaeCvF69SrLIlas1qudD7umnPyKgJHauUUbFN4Irs+jtmFck94n6nWGv53fCrsF6feYiEtrlphou/r5nXqt10/I9iSOl/erjkTAeMqKQ2mnjrWvqKSCxol+OHgclnWCKsnxu7o+dJJ49qdTrkBqvsA5yhVBwKu1AJw3NF0517Gf657jMK7GZaRT9cfoIthVidKmIYjpZEgAXDzrAPGIseCb7nNuPOxwWCpZN234xmacZ2xYGatgXz551SHLPCxtZQuAmAqilaOsfI4V4+FETFgDQMVedyyO3WniwYKxkXteIZ51llaveMCjbUCJ6TlvlxakK/L4H2Ma++FgLwYruxOxQ1NLF5+jPYqHuNu+CmWM3ZwQfTY878BcWUvbacNijKWdS6WNPhc2abJe8fOm5zooQ3mflVEHYkyM+EFO2C81WJFdngy0KC0MopmGB0A9YuUYP/Bc2sf/n703Abalu+rCV5/TZ7j3vnn4hgQyEiQogwwhgoAMBSEoRCsgqAUhhCqMQiEBBErAgEAoKSMqKVQSKEoMGAwggoIkwRJFEZD8SwkihCQk3/Dm9+5wph7+tdbea/fuPntYu/u8l+TLXfDlvXdvd6+9d+/ew2//1m8p+YABPrnUxqeyJ598Er7ru76L9GERu/uSL/kSio5P0ax9fxiPmS7MMKVPJIO1Jycn8IpXvAL+zb/5N0rbqqrgRS96EYG1yEJ99rOfTZnS7pchE7arTYvg7eOPP06/O7X7YCazdLhjNSDM8CQ+uIE3ya9mgoRFGL64g6Rblcm8GPaJep+UuTklk2boeUZPNfxJ1jtM4oag3liQ/Cqf4/nsDuvKAGZInN/WBd7srq6sl+qzqQZrcSGM4SvIiBlirC81jiRhQODI1kYcYhvdNzhBm89Q4xU1t0jveVnA1MOIS9eYDvdhBDzs64dYqR+BdQ1uCHFzhbIaVd078ZadBpwAjmxkdNV82sfIWo4mZ4qZ7kOof1brxBZdv+yPD2Bws44BNn2GRE5OxWOg0bWzfXJ/xvbQma05SVVy+/J8YX2buOCzkynQggx/T/HMFYBFrOCQNmkSt1DyrZVdV5zvcDBwJKUwWcglPjlBXGD+xOQcanPlyN6empyj8/68l+nxYb6dv93pkzMgby2OWZOXEUKf6fLwoY7v2zF+fck57PcRGFfNN4HJZayEICGzpyS8x2zeTZ+R+GtgEQTpqC6xbOCYPM610YluRPTvLX215nsNJ99QSdxwbFIJi+YpCca62UysusamdW4LPKBITjDGeqDYD0nftilOTK4a/S50Xe2xvFeCsbqdQEz8vfKfPn+h9QmB6qrlZyK/tdIu5nWb+hGMHgmwXO12zwDGz3sEqnc8TmuEaF1HGQmS9EowhtZ5vsJm0G/4NjuhmnV38NlGExwPYawxjftkrA+3En0F27D5O/ngNVnnPvubjfXhR5YnML6XuxOM+axb/9rK1xRNfqgZlDr5mhlyef0WKzQarm/x+k3pXk8EEls6k0JJk5vpa7DsU5Stiqz/UcuUAUwspzNQq5D7XmmwFn1L2ji6nuC5NrDG5mdg0mKUiAolhsakXChfqNp4LE505fRrJaKFzJ+Umuf1pES05jk4KDXvEIvNGs+cRMy0Tcc397fkZF+UA6Dd7vwM7qPGOonVTMK6vonNthKMrf3rGDNPKSCe/jpg28EPUIq4uAYPXGf/crBTt33Lt3wL/fehaslIxDd90zfBW9/6VvilX/olI8zL9uIXvxj+43/8j3A/7Qu+4AvgV3/1V+HOnUZj7U1vehMh1ChrkGKPPfYY/Pqv/zp88id/8n0o6VPI9GDB2eNDoB5d59HcSjFMFsY2jSQN4+Q6JlHNALOTwYQMGbBoXX2vXj5Rp04/h5/rd8yJzXYBTMvqyu2Pic1Q92eocf/AcGkZgDncZ6n7EwH7AcsnI5U0APsg7mIH2sgA07G6+hc3qcZ9I1ZXNJSFILc7qKthEUfGifFOD3WahWnQiDmlkintIjMr1hRlNbzaV7rtMYwfbQhAzEARMi/RsKp5d+M8aW8+DdDVxy+Di3pc5aGmVVdakOu/c2KJnplvm8iNpr9isZskPpqlxQmcOv0mOeNuYNzjDQQBSmO3v5ZPDWAGTQCeItBAzNostrkS1NUBfrsME5DQMyPltyVDnOA/g0EBdiLZpAPWxrKB+4Bpbh/cjEYOaMiKJpFOTP5EAZhtv8zAbD3TZR0ACI0z1McBEcWR23oTQqzWvpEBpBigZ1+zsj84CVPF4de0sRDAxHDo8j03GjDRTl7le4TtF1mqDJpmjkMEj1/Th20QM1Rmg9Wa7CkWQABJPjHBEplnvvIlFlT+m7/H/DaHSc34M37OQzD+6KfD6Bl+GahWuyMre2/KhDZBH1Z/Wm/T8dCAa6JSNffSsUXtyXzuSs5kjxNdbKT7fokhh+xwzMLW6F/ye4r1YW5f7EKo0dupiP9Gfr8d4oP0m92vSviEOzfhkfc+qRJJSs3xXIz2aYFcgSJzQqYW6GRAJAHni+f2ojSgXmwsDq5heFEiBGuxD+PBeawP2+3hnWOF+yZ6hu4LGGHVG5hu+Y4Dxdy+dpsPOvzd8u1+3y0Qnpm3jrVMtH2dvq01jc1I198REjXM1NwBTNl6A6f2c7YIDJ1vxyTjrtLb12XECtHkm/HYjDXOMdEaO/lzH5hL2eQu0/n0gmbm3/uD1X7IWzJY+zM/8zPwAz/wAwSMTqdtraZnPetZ8K53NZpD98O+9mu/lmQWXvKSl8Cv/MqvwI/92I/BN3/zN9PPUWiY7XM+53PgIz7iI8y/3/jGN1LmuJ/8yZ+Et73tbfD6178ePuMzPoNCkV71qlfd1zJ/0JteYKI+X8gmGoTZBQPTZgdGw1z05LELsJYnBROW7rEpA9OY4W/IqRkB05a2VoyC02HQPRBgmtpCTzpITRkKTDOLOAbW7pCBadi5gRAo8jkaGeBvs3QnHOkDTMfAWpRJ2BWAidnW7WzoIWNAt7A2LH2Nyx5jTO8SrK3LJqwxWDYMQccFXVUNY9bqsQ1ZkLho9AFOzKLk6IC+ALENFGHCCDQnw4m/YdJnqBq2aR+/HXDRsAis16qYru2FKW9gRQBmwJ/tkwm16vcNGOZjfsr8+cFMe8NhmLcusFb7pFyEkW5swF4P0KcYSyyDkDXMZoeZxX/gvRoWaGS+Xus0wbGNJH43k4BfA7ZH5hFuTx4To2xTDzDN7RmrH/cnYtZaLO2Y8Tdtvh37fYTAWi6PBhLRmmzrEAdrUQah27wx4NSAlzazVtdDUFcbTDTfbIpsiuWXlzFRUE+3xaN37kL12B2ob1sJdQy+F2bWkl/MQm6eKQGmocNy1e9Vy335zdqENsoLIr+zLgNTz818EL1lgf7F7wcvickKtJifDBBjmPC5Pa9siLJtVijCpiMJw1X3YWwc1ABPZtaiscyO/h+J32besX7YnX867YVtkO2r/WuNWQUTGa44RPAjkYXp9dWtO88bnQOK5psN+8WkaOoeHRoutW5/oXnLww4UHGAls1t5btgUBmCbRNZszDYNM2slQDEq9Cp2q2hMZOanbx42kabxei81xDKpwosE8eG6oN7cvpgHQN3j9510wB5j1tpgbWDv1szrCf3XtHnuZvOiFAr38Ym73snrRDZ7n8xEHt3GW/2J2wa/U2JyN+2btCZmQz988KtxEIoQ1Ie7aM1z8Sfqpzhuqt/BMNMPoAjM2ECux26cA3rV9Slq9Y7aIhmsPTo6Ir0Ilx0f+7MY7lKz9i1veQuJ9iJg+63f+q0ky/CP/tE/al1XojaJlZkN5RmQSfsN3/ANBDTjfZ/4iZ8Iv/Ebv0G/OzW/MRMmFt5ss01Zp28o4ER6tDEz4fLDwR+eFGLAtM32XVks4CHANA6I48iG17CbdwBgcsh9bNOLACbqG5LbgaAeaqPSgl7AmDbvYBegXmSh0SrjWJVrF7IafHAx0eC+9zq9uNkJ21S/15i8hf19YTbaXdU1BsKjVrF9/RCreZEZq6vWmEPN2kEsV92PDCvR51aXh5jVVkh/slkL2rWerl2bK2Jk8SZ8U1objnS/9Raz1r2ps8PM0dgn7tOTzq8cYGYLNOVFuNnwtR/O8gtSYDoU0m6YVeNtMNo2ZBpxcaPvNhJCzxslkkHIIkwYyabOtGf4m1gxWCuYq4MMEW6fWBy6Lg9/9zHg1Ab/nf4izGEbbG/JW0RsCxDn9kSAJ3RwTJpxWauMzKyN1RXHESezNmrbz+VQ7hgYbl9D9yQxay1QretXAOrRvTz+2/OAXhv4wNPWT1EGQRdgjoKyEduWJNB+Y33ClMUhgxCVt1D34rSBhzL1kVKJ9yaNC6x3G58pjGmrnSVpwe1H094/o24hYrhapDc8fHI9MmqctEjfTsNwBBB3ShJ0N8iOZ/A7sMFaKcOVJUTcYK311zPtBDLZeHtOcUWR+GyGL4KJw9rv6GGV6Hr0tAsJMggqzB9NxDbltYCLWStYZ7aYtcKDs2AUSZHOrCXNWkFiWRMu75tjE+q91J2BI6yiMghRZm283gaMNOsX/3qCk4pF/SYwa4nB6gFM7fZlWSWReeQJnfN6bgGm1vP7Rn65gGLvQYddvgLX4Y22LjPZk8xITGWwMuO/OlxkrGBxYiUZZI19/U9LKGiQkQ557NOxfA9m9D6F7OREJQzFpKhDLFmz9mM/9mPh3/7bf+uUHPjFX/xF+KRP+iS43/b85z+fpBBC9mu/9mutf7/whS8kRu2pDWAHRibG2SyHY0vGABODDQFrM0l4sw3q7QCsxeQg6pm5gIE5JmAaGZh7B/3rutFgLz4vZgYw3wUw7Qg/DoJ6WNeBwDQm+qIhizJLjkSg3miXLGJJXbFcK9S5HQhMY0I2zVpT7GQIJuejUJOdgLXyxSQn4dmFBrJU3gI1qMtdSYhweKmIWatC4Q6HyCBYyRuCGx1mEeJfiTmZ0QY2tvHc9sdhs81izbvJwXe5KgiM7Bt+RYvnTYdZ69tcdZin+Gt8DbgvQeA0pg9qfDrATNciHME3Ird5mLWrXTBrbS0yDT76mK7oF98pLf5n/fyRT7sPW2HLPp9xGQQZmMlMbdZVjm2cj9YeZq3po5FDPw5H9eguu3w6QXghGN1s2mrY6D4tASa62stdDWefEcCIfQZfKCbN0wmhyK9AGoASjHWbNxp76Ge4TgRjDbcHtTEDpZIxyqHjKmX0Mgiv5HnrXpq1dJ1OhCgBiN2SBHEdYnbJTE8jg0CH6/H32tJALgEmDNZ2QDxj9jyGf7U/Te1fxCK2pQF0pxIlS209WiWtodcE6DdyKyZR0X+npo29yxizFvuw4NZWRAeODUgoiDBrfWBtKisdvxsbmLbrQD72ppB/zIc3605evzukFyiKJOJ2puEXqh733zNzyJ95Jfh+jcSEVdQUsNYJnCbJIDTRj5vSf+jsA/W2LNE3HpQoGYT4NxANl0/wvdBfBEZ0hUwMJArW9ryGkUQmRoHpHpq1tO6zpQhIRyXbal8M6W9pIPfwvQnlU+D79DfXXwZhu81b+ry2ccQZjkObEvLphNb8vE6UyDv7AHJeS/C6GqPCz5w9gOvXr9O/9/b3INusabzfIDhMa0nMh5PqVBstYFY0zGBi43E9gkx/u05brWl/vykLWI5KI52S7rYmsiUS/jK9z/pgNKwHArXXrl2DCxcuuBOK3k+w9ju+4zvgi7/4i6kQmI0NJ4Hf/M3fJJmBN7zhDaRle2pPLRvrwY3BM5+N8hFUmOinqkjvcwhYiwmhciE7sAEwd6C7yfpeAloKAskIODELeKieqgSsZQbmLkA9qbyFCZdfN2Xt7VK3Lya3iW0eMFyeAMxyh4xpCYDJSdwG1rUtbxEDMCeUSXknAGaKnle+myRutrwFy6H4DFnGuGXFcQIB7RibPGi80ZEwa3EdhYumDjMzxRiYYqDLB5xS30YmXlVTmHkBI1qs5dO0BYwNFMXYgdgGNfZZYtZO+skgUPhqm5nhZcJwmDkf+uhwyROdxO2spH4ePVCnTw/TtdlICusYAN9aSc0MC8r9TaLf402cNV13wG+fTzo0W7s1cm2f9j1BZnRkY7rIZBvJaBI3I7sQZ9YivIb+xlkdXcz7QPhQgri2PysRid7piGQQumHVHaZ5yOgbJLC2hBI0KzGTJBizQSoFj4nMoRMnZbiizZmBic0zULPWsBIjdTUbVgSnEQ+0gbUEzVqcc7jIXI8kSQIp4zSQYCzWn5SEiNrvr4oS8pNVEKyl8PwrZ2gwGz39IpS//3jjU1c/hR1O42gSaGrTQrVfzayV+OWWJADTjs6VGn8H3L6CPsyAOX6v5R8+CfWdE+9zbcv2G7CWk4xJ+7Aqm0I/t5YTXckFi0Wd6XVgbR2Om6RmxEwON9YEalonkksetzFEWQLEs0avPiNptGMFAGZ3LMYXlMJuNYmRm7ktdpgbBNcSE4z1kUHwAqfCw0LsU8x5jO1huH3xuwke6gvavLWegHiCMTGA6ZEiYGNpAKqLkQTS6zurrVjGBQF0vGciAbE8bc7lbvVh/IY0uYju0/uRIPgf9L3d14IHHRZYq8qWQbGu1fcWOtSPgNSuNfHlq5foz2vXr+mCFTQuIJawrDMiUMxj6zKf4btbbWiOXYxzqkeQbLIpoSpKIrLk03FvsBY/1rIqIR/n0fHwg8EQqH3kkUcGPycZrP3CL/xC+Kmf+inSiUX9V7RXvvKV8GEf9mH0b9SKPbWnljUaoxIAc0wgzFC9z3JTKLBWwqzdoQamVGO0CSHfDAdr1wXl4ZTUlbVNdwHWjhiYFtTVAJgDGZiV3jRL5C0m87EGMKvdgbWCuvJiZGhdDWNaAEwjmEt11RrIePDR26Sajmgcyj4wYV1KQkD793jf3gCwNuOFl0C/ElsUuZmikC+fMVgbY9aST8Wy289qONGL6IOe/hAEirJ+LKbrbDzpuTBl9LsJD/aBxARM0T1Ne+I1JwhgSkHilh6ozaxtnmfMI4siYpta1jDqwpq1TdI2P7NW5FfPKb4DBfbZhO3viFkb+SYWtU5YJ2TWev1Kma6YvFEnKzqQMCE7em9m4W6YvBE2PQseFxUUnSR4ImZtV7NWMk7xO0Q2L1IvpYy5sdaZ0xiXubzHXqUl5RExE0Jug3o9NlnIkuJpOsY2HetkMNhS5NLuUtwVRwK0FtnLXA+JDIIF6ulCC8Fa8GrWSphS6BcZYBukpqNLHFcCc2T+EWpjx5IJrVDURBbxEuuaApra1xAbk5m1KolbzNCtIn3aL1benxCsrq1uIGHWzuw+7FmzOdniWrOWvm8cU5C9lsBKZ79ld30aAhj0+r0F1qbIEWiwlqSBUw5X0HANaoGGXnagy28X1FPU6WQZBM4rgkBtTHeZx3/8dlADeWS/k0RmLckg1NIEYxFQTwhS4/3rTEv/RPZrpEGK3xoCmKFDfQGzltmmrSjMDruVbZoil8V91lHvlu4yPhPHVFwjYxQN+rfKS4f6eQYLvU4UBaV62tz77aA/7OsE6s86wHQ9nFlrNGsdgzH2yeXalBmvOQaUX+ux77CZtXbUl9WWVx66DBcvX4SyKKD+g/cB3DyBuw9fgt86mcD5+Rg+69lKJiXZjpcA/9+74NYG4H9eehj+3DMP4OGzgZf1x0/C0fvuwB/Nz8Dlj3oIHr3Qj6xXlgXcunULnv7wh0GuSScfrIbSB0MZtb3BWrSXvvSl9N8f/MEfwI0bN+DSpUvwUR/1UTsp0Kl9YBlOkhwmOYmAMMw2nWzaJ6i9/JqJIe6TQWQGH3eiMZoAYA4GazclgbWc7ClkGGJe7IhtyoAvhuBLw+Wroe9VTzixhFCsgcxsUwqJkLAHPMZAvoRF3GUM9jVO2iVhTE/32gDmPJ/uQHc5/l4NoDsQ/N/oHTAx62NaklsSIqnHzdazeGEaOz3GxbBmwgwam3R4M8sghDIaM8tuXwMJvZKMWSHtsSzKDJ6SDIJe7Cczay1gisEx74LYwdzohpCnyDzYG+qmrnb93LIE4uQczOQNgIstyQcrQdWwpCBhWQKTTI37cJAJI/ApBE8XGkRBsLYFhoa0TR1+G/Z3/LuvtI89gZYaA06sgWyGbiEYbb6JotLSMGOhjmu7jWMJ4lpm6QQyWCthzCFjhT8vrK/51KIJxpiJWDuZejFrJWdi8EcwzxKwoBxrn/wLmV/zbq1n6Iq06rXtmK9TgJFhYArwqhYwbWvmpjBrNbrcMD9loN4RRuYfNhIIIsZQ5xLFcMVQWjmQSH0hhVnbSo6lQuerhLpiS2JXKnWiMVc9wg9gjUf1z5S+RDIIPrFERzitin5hTYs+es8NG7L9YP89mZFBKCw2r7x9WUJGJRiLsNA7NnraRajvLaC+degPIffYlga+0dIcybSQbbB27AG5OmaXC9/tHrcPfrd8wJigWTuBRst/mAyCjNWLcyWuEzMrYtNnHJWE6zUE9fZ96YQEc/tqi4SzzW7tJSEVYNbausvm3VKkEIK1BUAnylaBtQlrYo8MQnBtumqvpZq6JuIEDqDYBZy2fFtl7q2Vu8Ws9QPEY4zyHU8RHaSXsV9nsKxxjzWG2aznXhLlYUo8hB3Rs/bmM5iFoqunE8Lzc5RCyPr7LcoRRVvO5/MPerB2lzZIEOIjP/Ij4VM/9VNPgdqnsJWbZoCZPkAA0wBlAgBzPNVs04EAJoVyc5KkhLoODSE3AKhgM8iAOW2wByZxG+kMpfkDBDB54ysBptsMzGF+GciXsMMbradhPhkUlADTIwQy9EaFE849CGDaLOgG9uHCYhFLjLWohyZxy/QnEJO3oM2x9omHI0P6L/K5NiNkhkRy0+gyMTDVJ8mYkRjIRxaQCHFmLW+uUjVrOyHfNmOuu9FpwFNL7iNRP9YAfWPBItyTMCNpw0EJ3/h5YWatnaDKZdKwOtOmPq03vcthORA7U7gfIGD2msufTCbgxGJ+xjLCSZi1USkS67vf5w83YFh8xo7sNpbKPJiHWN+RjEXmZtZK6sfX4DvYaOayhOFKfhkTFF3NDmHrpiSm3sgF6qX41WOb7ot43iABIlVCtQb07KNZi98Jc2tTQT0yZthLE4xZerX0Y5IGkPsdHaqg6OzsXvwmdWXrX+h9JAWIbRZxD4yA3dv8WImCD2ch7x0M1UOzlutKBwa+NbGvzfjd6v5rWOkJbdwdOoP9HztMppPjHS1pLGu+16jLVhRExY0sZNaOH70A4+c9bP7NjOAUtqn5dlIkEBz7B0mEA7ajc441a9VmTRfzjePEBIlHCSCxd14X7k0JrMWoOhK9pgk77FfCchUwik1/osE4soZJSjDmrzefR2NdzbIjQARhwJEBSLnvdr2jRAJ7bdo36W6n3kprNzDHmkS4xbYkTapZ4LxoXtf9gqWtxO0bqPfKJDaOy1yRbD8mcR6SF+TU+jNrv/u7vxtS7Du/8zuTrj+1D1yr9CgsYcy1AcyBzE+jgycIl5/lOmHRMPByQ+CaBkQspuN9BzATkl8hgIlLfmRYFEUFE8kuJQJMSxjTTV0H6gInhJQieFGjHheKpa9RA3mygyR58WeMdsQ2TdFdpuvHSu956EEHg7WxRF82+zZ28h+zQidjk8hbNNdtoBgITI/0Aoa1nEOmxpJi2NhkMWtJ1zS0UdLj5Vxv73st1oyeq2CxZvptE+6XLoPgTi7GuZN8/tiS/Rogs/1wZ1IzD3janK10wuVD9cONdmdDjutvnO7wp/TpODJ3p4LELSavZ6PIm4cRo/BF6a2H3c3XNtuoVUfZZpI0HnF85XsC808QhE9gnpYj9d3vCUKq22wjS0IkSZZAr0ewjOM0aQDTh5OYtY2UBYO1MVkA41ffSvtAKbPWFhbVZph6iSCMYSWKElG1n71OALnIL2qzIj6c+Zi1Pr98XTMW0/NSQb3eMggNwEznfwKgTNW1hgmGleKwc04I1naZtfQjWZIa04dtOYKUxHH6+6PZ2bBc49+sIT8aFnJCmL71AMPSk2jWWvKYNG6GCtY1KltTVsNKT2jjsjsmBupLbF5iHJZQ/p/3QXZxH9YPPSRnLpMIti5y2aN9rWs3NI6O4yCMBa4xG9cAplIJK5ttOJcBxOQXI4rKUoOJnfkYnympu2bWjusKZoJ5J7iGqeSsXpzXC5xfuYg0B/nbWrR2EoDkfP8E36tht6p27+VTwChmsLa1Jg5o5vZdJ24xa3Vf2OrDjoP9/mvitm/7fmc/7uwfkwDxELM2xObt+GawliRE6joqOeI0WocCLPW90W92ghqzOolzn73OqQ0Ha1/72te2/r1er2GxUKfESFVeLlV4z97eHsxms1Ow9ilknBBKypjbVcIiHqRkYO1YJSyqhyUsYo1RBAhFz5juim2q/GadU0OX5QRqqNUahstL5BpchgtM3EBwwqeYjXbENjWsMTGAOYa8KMy76Wsm+ZWAWWsAzIFMbdS8TQNrxzDZFIPB2pFuY/POAsYg5/C6spSHbJyombk5UFZjrDdXKGifwnrrbXoBgwnyYgkyWJYAMzij9SIRW6f6MbCWmYbI1mmFhsYATNs6wBSfkBPg0H2GY0G8FS4Z9Sdn1vren30NdqfgGYVVv2597MfamrVRGYRQXe1EO565jAFQE+FAId61U+iU2UbYPhQaOgn1Gf+3SBpzmDU4G8EowyzqVZBQGWKH2EnwYlZoQIK/iZhNLbC2eYgcPEV2cc1tQuG3EtZnu64p9WtkZSooWAZBuBxxMmsFpM9uS5pvJ4FtqliJaWHVdmE59FZaV56GW9Km1vOizFod2suXy0AYcDJru2OP16cO7WdP0lUm1vVcgdlZK9SdAJDK/nTawCT6SmB9UiCBxvdkPtt/X2MGOP13Cb42suTTeskgsKyHvllyPI/DJFYXXeIyz/leBLIaKbrL9jVFlx4euRelEDhHQH37BFaX5QAxzkVGuQErq6Uq+liB3wHKliQl3aqSpWjUdXpSNjqeQrA2xKyV7vNYW18474j02QX+idWYZY0MGs5BgTDyKNsUOziv0wO+W4moCKzdeCPnkgDMwCEwg7UtINETCWVfJ14net55ULOW7isd7Zu4Ju4wa1vRV5lABuFBMmt1Ge1E1djGc0mIQtc2JX0tLPkW/WaRWYvVxwTzp2Dtzk20s759+7b57z/9p/8EDz/8MLz+9a+Hu3fvwsnJCf35oz/6o/TzX/7lX959KU/t/WaY7Ij+TJgYdwFgMngkSX61q3B5kxBKyA40oddDk30xMC0BnEYjKEwIeX9Qb71sQokmggWXYZsOBPWYwSlKfmWFzZYD3isl7GKwVgBMGwBzINvUHFgIv51a97vhAKZcd5nZt0NZ6VzmOrGuQw91iGkiZNYaXdsB32u9UQABMWtjoXwaTJoxs7ZHaJAtS8CbBy9jLt9m1hKwnPBqmxD6zsLUBRw6NGSTJAlaEgH9mbWYdZZ/FfPbrZ9tzLjD5DLIRDDXeBpQtAg32n7+TXyLCcPXBPpo4ze9jqZYGsTBQwfacES+iWBdO9IZIcOwULS51l6MmfFrfTuS+hnrvEORZqEn5FdSvybBWAVrDdZKZRD4E6iT0FoYxqy1vxv9DJE2vAVgFn/0JJx7x3uIzZPCrEUYve6U3WjvxjbSGlxmfDklXB67ArKNGs1aaRtr1/rPsQAg5rpeXq8UM/bcXu8M18ysleipNmf6CphQ9ZD4ta7JMlhbCe8k1eW7VdP2ACc6mrUTAZtXHWCpv3s1a2MyCHVtvhu57rL6s0pg1pJ11mXsV8TAL6uuckNSQkDqe1pvmhnBvZJu9WXWFiWRRFgXNtmvfkbrmTHDfsw5BgTzDkslbFxrYhu4i7xnLrORQYvNsTEA074/xKy12aYJaxhb93zL7AghF7NW/8opW3U/mbVeGQQruVqnfbGeG984EfSdh9m8bB1cYBBY29Ks5boGvh3dPhhdyWSS3sCpJqZsRmOlqR8bZyZjWjcrsHZ4/qBTa1syLe9v/+2/Dd/8zd8MX/VVX2V+dvbsWXj5y19ObNu/9bf+Fvzmb/5m6mNP7QPVtGatRHdzl3qfKbqblLBoNCKQCgHXPVF6yW0r9O6XAcKYmWybA8FaBgVFya/4XZTlILCWw9axrpLNGYPmQ5O4pYK1DYCpytvHkIHMJpF8wIRr9S40kBN0l1ts0wEAppK3KMXAdG4kRHaUEDBx8T40YV3OYYsJLGJkHiOLJrr4cFlZqoRHIyWDEC7cuNkgZP00a+2Q79UqsrmywEzG/bCs6DfGAvaxMk2GX6c21/YmJAYkipm1rkzV5iBwewzCd4E6YtE2DrAyDTuEi8LXoL6gI8GhaBFuRRL4QBo+h1Kbq5FqPCrnJMwQdGzqaMNlfPrHdb6XwFpEvmKatUEZBDnzFA85pjqrucQa7WXbX5osQW0dYCUBEx3NWhE4YG2OCyODEL+tL7O2AZuGMWup76dkl7cAzPruCWSbEs4UG5iOZVJF9mFSy2JlcLBN6XkSOQJbQgTz7RjNWiGzVofLNxiZlB2I654NAcRZSjLNzuNro5ObyQDMkXqv2KQ01SVitVhviszYVoxxGo49hlnbSjCWACaOFJBoghGE9yHQuYQaKmabbj04Dtba340EUOf3sDUkxm6190bIXk7QrMVxpXN2kCaDoH1yX+oN1vbVrNXMO7kMggPATF1X47vNMkDxEU6WHbKgxmiCby4zERhwDRhZ10f1/o2cUhgobgGYhuXp9s2gObPKvdWy1wdOGQR1pNMCEh2A6XDNWs86sXsI6yBmMOCIdcX7pFEgIWat0zr17q2Va5c/z2F9IljDWAD5dDaCDUqI9AVrkVmLwPYoE2lM25q1vep6akFLFrx8+9vfDs9+9rOdv3vuc58L//t//+/UR57aB7Axi0XKmDMZ6AcCmAyUifRULTZsseoP6jH4yQChnIG5K2BaVtdqBwxMTuwkBaYRwKQyDq1rmQhMs6j7APCfE3aR7rIAmGZG6lC2aQpjWjlWfusBOq42s9xmnHtd8nutKrXR6WkpocK7YuAjgDbSu/WpgG40NnpOAlDPZxazNrbhYCYeJrYYHgaF2m2abepZOPEBCIW0a71PtJS6dt+jk+HK5mBtJPv0AG8rR11DCb+kC+JQP90K5bPHRg9ATGUtJAniQkyYpq4SqY5g8jj7PkGoJB/C+qQeJO3bsL8FG1iQM5y8/SlFlgBDYFEvtK7cusuhMFjNNuom3Yv54zJuejJrDemHSHBRtFb/qd8nMl0TmLUzi83baNamoHoNgJklANPolzRrLb1QU5AQ/uQAMNEmAtongqstBr5Ys7ZNZeTiNsHVYcP3gARRulq43tKOW/9Cv3j0IG5jDNNNBPVaVxCQiPdrXWsBG8001cAEY+wKARaJUV+39ITbhQoAqCy7YDFrpRrT/O1sJXqMtPPo0QvNP5C5pvuhaJwoK/N59pEEbm7Ad6oOcUcSyYeu7mYiYKoEnpV2LI7FchkELcdkr8WFmuw2kMjMWvQd9anHf9L77L7bBJDayOgEGKa2RRNRBTRjW8C0DSZGfKsknjzfBdqG643t6NhDOWUQQgnGUgBMonf6mLUMYHY1a91AcS+Wq0ez1k+aaAPkzj7cw7eJrAtq1jb4S9PGPQfjTUEBLMisDbJ5jW9LBmEgqevUdgDWPutZz4If+ZEf2aLM479f97rXwTOf+czUR57aB7IlaowyCDcUwGSgLJfEfFmbziEAJodkS3U3DVNvKNtUA9O5UH+WJ3/URO1rnNhJmhCK9RRH1UAQXq/iDSs56ng0mIFZJMpb8HvAPki6YL0dy9nhyjFLAwwHpqW6y1PrPQzRBebEc1LG9C6SuJUmU4xM8mEX2UoRuDGnzbGqMjisNwh9wFo75Fu8SNRtasKgUuraAd4YJHPVtZFBsJm1kOTTB546Gb18jWa69lqEB4A37k68aaJNjAlrd7FDIA5MG1ZmgOVqMyEDgLSM5crsm4xYavGNZJMQK2SNz/bPaR3IOzXBvIkMJ+mm2ZnsqyMNErV8RMAPsblcustOnw1gRG6TEppZCcagL7OWURjBTR2anf1+JH6RacT7MANMiBJRWX6NLiqG6EtBGAUW9desVRc3YK3IbZv5L5VBYG9U1lqL2sijz/E9kOQDtlFSMqiOf/0jcRsTIO4BML0+s3b4OI61KnLeQYPumKWNOzTBWAoI37Sxp4iU5MnXn5qyJzFc7XEiEazNLh5A/nHPMP8u9Pgp+V5RuoOfXg1h1iLwL2RpU9kMA1+HyyckRW4l+sJnpTBr2e8AGQRci6D8Dj5pLFhvtjXw6/7MWh5fhGvdaCIqgW91BmWxTSPkKdbAV48PfGsRoLiJSnKs1xys3iTQlNqxDsogbI2JHonCZLCW+no7ajCa6KubYEzSvj6zfBu5rCCzdtQwa/VfB8sgCIgpumDNYd1QachTGy6D8JrXvAZe+tKXwvOe9zz4S3/pL8FDDz0E165dg1/4hV+Ad7/73fAzP/MzqY88tQ9k4023cGJkDcwhYK0K5dZg7XTywABMA5IJgWksW7GDcPlUYHoXdUVQmxa3QmAaGZiFBWCKdO0cNirlGqPK8XAGJoK1WQKLeLaXw4nyCpt1CdP5aBAIL2VMN8lpHqTu8kgxjvE0dFnAbG963xMC0nUMrg6QfDB1RZ0kQZgOgjvm5LcPcKp1u4wMQi5l1qrvuxdArPtCpcP8w5q1beCNyrdKZRG0wUXD+owwazlhAy9gU5m1XeAtqFnL5bR2t2JGr4RZ20lqhoAySi9kKQxXbQbIDnyPLca0gFkb2nBIGe6mnbBcZXzM4fbFPtjKLkyJhJgGF//2l7oVJ0IEqfte1TeYAp4qgADZ9KJQPt31KXEXSohguGSK7ALPV2UFGz3fSME1Ll7TNCmgqWbv6zFCJUqXgnoZLHBeV2hiogyCev8Yb4BRDuIEY8zotcpu10OChNqyqFMhqId+cW4nELJIZNbq7GKmiCKP6v2PGeRNkd7pSj5Q6Doya+Vs06zF1E54r/p6BP9nmoUZNxwX1N9oyrMY4n01a4WfLI2J2P+cpQy0F34j3Af525F+r00SNz5xyGQJxvA94DoL/SB7k8aXXOYXNV8Vct58NslgraqzYtamaceiT5x3ZonsVgPW1jVpW3v1PiXJvhKBYiwvAk7YbhzZFzK8DgExBNfw3vnEr18a9KvL3ERbDNCFb/mOR+lQHbAfdpJd+doYl9LB9WnEtxOsDTFr+yQ2w35u7TvxkIQB0G0ZBDdQrGQfyiZRXszs9Y1+JjNkvWzTTpuLEtH6zJJg8gLTLd/cL2uYZ7sBa9eCvQ4ZHohQm5SD5e1ObQdg7Rd/8RfD//yf/5NA25//+Z+Hxx9/HB599FF4wQteQEDtx3/8x6c+8tQ+gI0nN1EyDw3CVVZG+j6mTpr1ICyUQWgAzAHM2nUiWGsBmEOM9UIZ6I47Hg5gMotYKvkwnU9goTcLZVFD3hPTY+1AKQjP4SzM3Oxj2CfyFHkL3ODjwg4X8KuC6j5En1cKTBugc8B75URsUmCar0WwlqUx+jlOYxGP9aJiSBI3W2NaBEzkSgAfma69qqozXOPIJDpt1t8pbk7QhmjWqoysfFLvvrQJodeLxF4yCB59Ltdizd5wacGzaChf1xzAGzGXHSwnw3TFewisTdB726pfSLPWARA7Nhx2Xb3ZhT0J1Gxr2Msog6A0Vocya2PztbmXNHLD4LAqm3VvUcMeUxnNRkrGUFxpiIu/iZhNuxsde64VyRKMTOitFIRhthH6xHc7SUho1kh1VLDBNqJkRXKQuM2YExXWzUhPAAXxjHi10SzXLFEGQbNNVYh+A2DFDNsXBau2MPsYG9P6cQNWpQGnWGga/yupZi075D/UX6RNjG1iGK4DkouRTyuxVcyISW6xj5P7E8og4OEM1zWBWUvAfxKltyODkLhBJVkNZmp7nilNMCbvw/oRVhI29QNhoXXuCRp7BeOE0iNvdIGN+EhPzVp8jvQASyXxVAfGLbBWSEQgy8f0fqZVmcysdSYYyxPAWkqkKScHIKiHep8K1LP8JCRW4zI3xIQdgbVBeaNG11Stl/zsVrFfu+x5H2atY+2k50kRaOpJ6maXd4ttOtkRs9a0G8p4cOI5YYQblpsOMBN9slFojyp/Pcb+GElshoZlxL1CXcG+PsAUA9MuzVqoiZhyVrp2onbfGL3bvsk0T20HYC0aArI/9VM/1efWU/tgBWulzNppjns/A8r1sfVyY4VyZ4kh5AOyyxccyi37LCazMSxx0VNXUBalKOy8a3gfLuRTgGne1cV0BkXAtPS9NumFCcDMxersnecwWCvccYymOwiX3xQKrBWe5tM94zHkRTEoiRszrlnvV5rEjRm5fQwTsY0TgGkjhbEpTNK5PsZSIFwHsd7zgLoiWEvMISnLG5m1WX9mrWG54hrK0oQN+bOlP/rJICifeLqNYK1ZhAf8MdO1ATATHHaYriHNWmLXcxazTRusZb3P2GLNFdJun7d1F8SG6YrjpvVzMUgcAN6MDII95wSyKbfDJfE+vz/fJsfWmKM6RLI3236dUhPGX/ibMPcK9fTabCOAvcl2/SQL84V+a2Kwdiuxjb4P+50EVNEAAbG5pEn2tF8Ea3Gjc5DCrLXAH9KsRRBGGkSiQZRejDl908qwA+W3Ikg0tvJBpTEwmwMsxfqUg2sbZpu2mLXd53f9Zu5LhUNrExpaiWUQTL/WAGSjWSv0OVb6tvUAZm3D5q3lbNNRbYBE9bh0BibOHXRwzbHz0iLXOslYpx5RowRjTaGl8hbMXnaWMOTfKi8za6XfK74HIqJrkNh0I2F9aS5bl1DRQafgm+W9GLOX+zCX9QPM95oyJuYZFGuVnClZsxZtkqcnGHMlojLMWtlaE2UFEKwdJewjvABbD81aQ2CIgbUxHVdBm29JZQmi9Zo2FjBrfWCtiQ4a3T9mrUcCgXSXu9+cZ12TDJzayUVZ29eV/NbDbsVv1m7fJADTajdc/5tkmrFvB8u6rmBPH3kNSzCmfIs0a60o0mmtEpuJGLmnJrJ+8b2n9iFjzJCVhnJPNAsR2aJ99T4x9Nww5sRAzHC2qdnICwFMG1y1EzulGAKfbBPhKtG8iyHJmRIXW/gemK3ZF9TDBFYMXEkTx+1C27RiuYgEFoCp6wC2KTOu5e91PJhtyonYODHbg0pYx4nnpMA0s8iHsNJLfZzPetWSzREuHRSzdgDLFcckS+sr5M+uY6pPO+SbEzOJMsHqss56ada2wcW4Tq4+ONKgux0uKerGDjCT2wkfjYwel7/ueCAONRMwa21g2qXL69L79C2IQ0xeKo7W++wmBAkdxIWkJpqEZhGwtkwfX12M3iT9WAuslUbebIHwVnuKNj1aJ1EltRG5bPvFTsHVlYypBthDMFLLIEiZtZoJkzRKWP7a+scpwLQCnGymqtQvJyVjZm0KY86QNZmxin3CZJaKt3VLYlfI4jQHWDhOGPpmjFnbgLXoJV2zFpm1GuvtuXetbR1aQb/HJKV/+o//BD723i3N6BU6cjBrmRAcbWKUR9H3ofWZ2lFn23aTJ2jWqm5Q92bWprLSVRJPrZXLP9ufysEYmjyaiTLql/cn+p9Jhysdq2v1/aUdYFnAaaJuLBkle9RjsRDEcQKYPZi165HW027XIZMAAQAASURBVBTumbygXoIEAwPMJj9HVAbBAUw7ffvX2Ft6qoLDWFEiKqEMQovhGtinJoGmnnp7k4vZ5cT9poVDJCU28zCpY4l+abzJLO1YfR1FjAmSNBqzJLSYSKDWnAKwlpK41v3BWmLxK8k3jOqTgq6YTNsQYnrmBTm1HTFrP/uzPzt6zVvf+tbUx57aB6ixxqg0RB+zsh9bQGQfDUyT/GokXwjgIEE2BKzV9xo2pwTAHI2IRYz6mXsH6XXdLBuNUSkwvQsAMzn5lQYwEYTfLIcD09N5Gtt0SBK3VGCa7jEA5uaB6S4jgK0kRHYh5SE/h2PGsQG1exgnnuNEdDHD8aS0JEAGaUxLJR/yEa2jJlUNxz0WEgxMKUkCkDNrsR+gfEiVkb5ddLHFZvV51voMDU2UUErr4OH3zUN2HxkECbPWZgfxaj23yLZ4bzAZAtVxu78GfZrNhy/BWKR+mzTN2hjTFct4UmFYdQ1nXRdEQui5rthm2AQmuWWnfl2f3kW4MCEo+x2bKI34+GoSqrU2znL9WOz7LIMgjbzZ0qxNkCRQ1420TmIay4P9bniXlEkTb7WZtQoQkfnMIaOopCSNUe+Bg/weFaavwR9iCyb41YWtNFNPrPfJYK2eK6ubh81mHJ/haWsqm76xzayVjXFcvtLu77H3aqNjFrNW2kr4LpD1ibaBTMzItR1wn5Ayl6sn7pDPh9ZLqNAhgwcJPvEfxAbLMvXVitpYSS/gfxgyT3VNSqqWmbpqaVbxe/Vp1powdI+/RgahHyudJS5Gz7oMo0cuyG8ej+i7yTmyLpFZO1SzljSmE9aJLYAtQQ6ArZ5glEPdK8FYaw2TuJ63NWvFYK0P1EvwzfOkITAIdeHjmrUySSV1bZzYI5KQEsogtHMM6Gtxjc966J32xTUBjhMoseE1DzgfTPTVIi6UZuCMAuI+39a+hu/16j0TWqnYrXh/vjelNT/WFcssPjR2JBcTza+67jO1m+wHmup615qcIj7UIUJMRmCtd018ag8GrD137tzWYu727dvwO7/zO3DhwgX4pE/6pH4lObUPSONNlRTAtPU+kSE720v3iQw/9GY2rg8IwOSkaONJGisR26hY9QP1NhogQ9BXanxSOySJmwl3FoatNwzMjQHT+wLTlNBKWN9dSAOkMqZbGsg9wf8N3VcnAdMoDbEeyDY1wHQi46EFfg4ApqWM6ck0x9xXxLQmxnWPhHVcXrG8BYVqA+TlMGYtZ7SXatbiVbhxRukEXHTtpYK1owzWmpIVBZzQZ1kQqMVAqfRk3ZW8iT/1GLOWtbVY73Op9T6jPh3gGy8uXUAva7p2mac8PUV9cjldzFpmVtmfTkCzVl2bwckmUNcIs7alV8uavAF/bQDT8UvhZnIrRDOBWduqa8rmtayh0KCRJNGLU/IhRZJAlwu7NQIinNRK5Jf313zAKJR5sIG9ospgksCszTE9e4sxJ7ipg9wMYdYazVqJdWKxDbNW2MaKCakQ1+rGIdQ3jjpZpUNsSA3W9gD1uHyFOegLyMp42phdSbsThugqfrcCNebC+1ySD1Pp+8FwW/vePoxelEFAYpq0jS0QG8F/M0yk+B5rze7E2zjBWIu4huSCP/UoZKGcA/wSSYsVenw7OombJm8kHXRgXTXTFHGfcUwyiJma/G9Th35gbTKzlgHMTT9mLSe9VTIIaYnNOMyeLNG30ay174369YB6KQnGmOgkTKbL7Yt1xeRZo+57NXOt37fRNeX2FckgONq4b4Ixe31qX4tlt/aamPyMkvsho51yoAT6Ibdbx/cWMG0b6/Viucn3pKdmrQusFQCnBNZuTNnR70LrPYvN8h0Epr3MWg3W9tnraN8FviNBFGE7L4ga07gvntr7Caz9uZ/7OefPb9y4AV/0RV8EX/ZlX7aLcp3aBxhYi+CK1IrxGCZFocC58+k+y5XS3UwJ5WZpgCEAJodmSnU3mW062fQPIS/XBS2+UurKep9D2KYNMJ0nA5h9QT07IZTUUBtXJXHbAWM6hQVg2KblIGAaJzox23Q6MWAtAqBiCRDLatZdDizotkz3gb56z2WJ2ngaYBMC07aEyKYnA79hTEtlENSCHRcSQxYwK2bWxhZOFA6l4kdR7P9QLzCN3mdCsq8Yw7UFZiIKjszasXIkrivudDthyGZB7KurCdu3Qs00WBuTJFDg8PY7DIaZeZiuBsCMyiD4maBrpwzCdv1S/IaYvOSzq38W8aeuBa9P3tDHZAkMs9ZogsfnEiM10ZJBkPnj8ha0SeNMw3H9tsZn2x+GBoosV+w1tHmCwIBhYAplJYzp+hB4o38k1qzlvxCG2YBtYX/NPXYfTgFhiFnLCYtSGZi0PtSh8gnMWmRSmUfYep90qBqbQ0xpyeSsT+u9Gr1aiQ6x/lNLNhj5BZAbD2V86JZqRipFejuCPTbGLAURrevwr8SsVYq1Eh0E+l/2i4BTsqEMQguEl8sg2HIE6lkAo3N7YhmRPsxaSmxmksfJ7yPXGphGPW3Rd8MJ8QZr1loa04k63rZMXSpYi2M/PQcjHaTa1nkDmpr5IpFZi/MOadbuQgZBeFiILEr8j3ObkEV824fT6HfeBWsF8g9beqr8fnD/hOVxAPuiZF9RZq06rWuB8PiucJ5G38RuzT1JPCvYD42mnnqLEn0xWNtXBsHhWwScdtapBNZuEiUJLN9ByQePbzwUofL2AU07UYTicWKSGxmE6Fr81N4/mrVXrlyBb/mWb4G/9/f+3q4eeWrvZ0PGW54og0D3DQwhb8KbEwBMPSEOA2vLZLDWMDB7sk3LVZPtUWocVj8kXN6AtdN0aYCqZ9ItBrT5hF1izNRkALOPMSt3lNCHeZHTVwMZAchUYLph4NaamdvHMTOmEyREBKHXIVtrYBp3ARPh4n2EIIoGo5v700yqz2lMs+OQ5RrU5/L5S9GP5ZBdXbYmM2vKYq0BwqLasY5FohjA7PhTVOD2ZsW3gTVtb4274mRfuMDnSxyatW4ZBDfzVBTK15J5EMogRJgpLgDTzeT1gLWduprrAmN7kB0iZdYye1mPE5JklUMzc5twVHJoow1xnxgqSQmLEjVy8RtERnsTFigz9msiK6QHfXozzExTJQsi2+iokHH1d8VyzQYwa+O31os1lO+6Dnu1SnKqHiGm1hq/dBvVV55gDI1bdKsXxOauDlilzsOEYC0HAmxSwFqrja1Q+5FQT5XcGBmEBLNeRcOsrZOZtVWP10o2UsxaypMnAU6t94F9gcGqJLapZn2Se12PJBkE+/LE78fMsT2YtbqmkGQog6BZ/6Hvpj5eQfnH14zGT/t8ph1eLjJiNCppiz6atZiwl4wSjMo/+I2WtcNxWNonbA18ej8kKWUlfRIYglXErNWHhCl+t9ZOwuRm3JcIuLJlEAL9GeeJYDSUh2Hq8msOultyAO51tohtGmDW4rzMS8et/mSSq237FrNcPdGCDC63kpq5fFvvvDez1qFZG/x2OvWeSgDxQJuL1/+WbwZre4Gmut5rBmtT9ljad+/EZqd2/xOMlWUJTzzxxC4feWrvRyso47YeJJLAWj2p92Ql9gnlNtqmA6j3ud4gS9mBbbC2X12ZzcjPkYbLp+j+uYzD1lPAWn4fVU9AnAHtFGCa3wVuJpHB+aDkLZiZykzV/izihD48ViEnNjM31Tg5WYoWsUlY1/O9csK5pISAlvRH7yRuRnc5QbOWfff5XgsU3EeWhmaICJqYwbc9vclOcts6WZct1kxCLExsIAQwXf5MiFqM0etgukYBzK4/Cxy273PV1cd0ZZ+hBSIBOobpGkgwZjMmeKzyLLKji/+AvxYwbTZXAs1aq65bIJWQ+WOSuFnM2hjg5aqreQ+CbxD7PgKnZqMuOJCyDwlo05GgkcvG7JC5EPhRfjVDNhWsNUQ9FW2QAl5at+vQdTmQUgfY4SFd0+qJu3D+8FhF99gFiJXTosUaMr5mzErNhHN3XkuUWcvJzQxEJsl+pWyi9RMMIzwRrCUAshezVoPpScza5lpuYwwflhjiWW0cvw9aq2R7KmDN2rQn9CHWIvjXR7OWZTVao2YCWItjHy9D0ljpnNisB8OVmbV1mFlL3+mT95Sus616YJ119mXWeoGuwLxTWtIwKbbS671Zwr7FTqhE845ZoyJrU1b25pAQWbmFaKzwrieE8wGDcqhrasYzStoUrntQU1Ug/8DlNSxdlgOwy77lUwBgBuptyydsfTsB32KWq8d3PPnttu+hmrX2mjjIcjXr4rIfSGyXO0+UQdB7V4wgTPbpiSKUM2vV3uEUrP0AkEFAbdqurddreMc73gGvfvWr4QUveMGuynZq72djdiBaLgVEtJD8gwZrUaZhPQDALBGY5lDuBGZto/fZD1xL3gxqBqbR+ywqYimmGrNyJyE9r65xMpqerE88kc8thq7IJfUBtWpHBqZUUmAoY3powjoEpseJdaWEdeMR5EXZ+vb6ANMGgBUYM477stIZbE1hEQNLfxSFAXtTjXUvpcC0Ybquq15axLjBJ7xvNKJNs4gxh9/MAsFalVW+T7IvLLNUBqFJ6lCJAEyXPwZ87eE7pllrMzMbkDji0ALebKbNJlRXD9PVTkTlDa8noIWRpXafUZl6FVHIrqsBvwOataE2Nm3q6aNdgICvCzFd7XbBd2Sfo0oTcJkNh42G4vcUuM/J1Ob6CcY56sOYQIjHCcGGiRb+44z6BNZ1YvqMfKxZj0Yw0+G3UuNNUaVB81QZBGbWSvVqlWG/NQROoWYtOJm1En3emsN08XsxodxStLZ5hiHHJzBN0bBpiGDd/UVsPG+TiRV4JXBdn6zg6u+9B/7MeB+We/N0GQT7DEXnOUth1uKMvq77MmvrZGZtS9u0B1aLuHKRxKxt2IRKs9ZGXYXu8cDaLkois7aREOFCxxxy2XFZIP92bL/47aiDjkS0lpIfag3XELOW0WuWuOH/QUkOrGnfBGMgSADqYrn2yYugD81wtzFlZqzQOIknzVk6kS2N/8J6I9CFc4Dpw13dFYc5Qb0EVm8LSMRn8cCO82Vojs0zOF572JCCvSKXd2aPaw45gGTQNKDVa7R5cU3cne8CkUliMoEHpI6CtQ4SiiESSNmmHSY1yj3woXYQOO0kdhNHm+2QWYu5OdinRHKq7bug7rqS5udwaNaeDJBpPLUdgLWYQKz70rnzfsqnfAr8y3/5L1MfeWofoLZebowGbZJ+5kBtU8OYSwAwkYGp9D7LXnqfawtZaG1gY8ZMr77JmdY9gGlrd75eFTDPp+kJoTSobcTvBWYAgJ6gHtdVnBDKAjDxvSpQD7fd/VjEzEiWGAOAzFTtC9amJMmj+8ZjAmuZmdtX8iHlvTLjuDdYy7rLCcD0Lhj4/G44o728DxeNlmgqs5a010byzPK6TVgvM22x1gBvRotMkmBMlzX5NL+bXIx1TTH5iS87u4NZ25xzhP0aILMDmPA5hXOBOA7LIHCONOdw6pB5sH+l0jF4MhrHNGvLiCavBxRqdNe26+dbYCu2kdo74jtq9cVEZu0UGwrfLW5g8ZsIzLnc91qbK0GG6q5PFVlR0fuXfEXYxthOeP9BQMbCZyhbQmBtggwCv1f7wERi/L6wORESSWLWaoBXqcAKw8ctzU00kyRJsrnS63YEWbNkUE9fSJtX7TPxzJhC5fswa3Uhq0RQr3zsNl37jJNj+L9aSkr0Xi2KKidNSSZR0qzTMJ8lZr9/rt5E6rhSwP8QzVrGMxrN2si9hnGM1yMLmZ8Jctubwp2zZ6C+e6yiURKYtTY4bQBNcT+ueuk9G63cTrZ7ieG8hy5JBiHhe1VccgXfcyRWmuOmjaQa02hcxj4EE7QlymQxWJvQXjjvnKDeZ2GBtQlkBJwjVUSH/gESa8bhPZNz7WQIOXFWbwtcY3Yr3o9tF8gw6JVBoHwCcaDYycDEtlquA0lSR4OYtVs6uVJmrfYbTUS1Q2ZtatJdIx1hEu7ymjgL4/1GBqHsp5Vrl7unZi3necGxybsmljJr8wRm7akMwgcGWPu2t71t62fz+Rw+7MM+DJ7+9Kfvqlyn9gFgm1UT3pxkAwFMA9YmAE4o03BsAa+zvVFPjdE0YHooA9Mwk1LC1jFUDAXzqwo26wLmB2lgLQK8fYBpw0wdyiJOWGihGbC2R7g8AdMGrM0fWMK6PrrLYDFxTRbyBwBM43utB2ggI9hKG5ZEYNokrOup92wSAiZJPujEcX3eKwFoilkrVQ/JJirUUWVm7ZtgADVrQZxgjBmWfC0u1DB81we4uvyhidi8Ls1aKXvBw5IMJTVrmKftBT4TbVjbzskY6sg82MbvhXVGpZq101BdbU1eH7O26LQxbzCIcuhnADHbCNvqbKuOcZkAlfykeY5im5caPPVHWjTskOZn5j0INu4MTNM4gRtP4UEYf2sqDDadWYvsEGyjCW/0RT51u/eQXaAkSRRmLE8uRkbgfN8Qcn0YpG8UAadMMtcsUbFOLlkDcvFbTIjRIcMiEljbU7M2NREVAvxcu4z6Yp12qG91v5QQfTp00X9fpiYY037MMCK93fKJ1ufI2czKWZrUBDNr+yQYw3H5PQ9dhmIzgk9Y3EvwmRnWMedRkhx20JzBpFXtKoVZi+NExbznZARfMWtJBiHkU7eBYdhqNjkRTaGPaWYtgsRSEMbWrRRop7psmY1oHB4Jojhafmn/WSrAqgOeSYzuI/HYXIG9En12F7hmJH/G0XGS7zMHqXgPtlvEt5eBacuxBZm1DgCzAxz6gWlPb7IPnR3v3Bw4u/pSYP0kXye6940NMC3XrDUJJnUCuOiauAMU2+0bHF/yjmZtqvyCXW5bBiGBWYt71/Eko3qiLMckZS9Kkm8AG5TxwOgmaYQQra0BpuWpZu37Hax99rOfDY8++ihMJttLs6Io4LHHHoNnPOMZuyrfqb0fjQGjVMac2VD3BPX6JL8a52M6ZcaQJAQwZ9KU69oKBqYTGbkmBLtvYrMeYesMKiNY2wfU22jQs8pG1G5SY/C8L9u0DzDd9L9NL2mAghiUHPIrb2MGdpmpmmpVD8Y03acXHn1lNfg0NQWYnszHmpVeDdNdThwnhjLwGVzOEyhdNmM6NTTIyCBkCNbKFy9oM90HU8T+TUg7hkFthIs1i01gD5+4yNyLLLi6IfSi0CuHhqw8vM0NhAWTmnkSjOF7xIX4stAMzAQmb2gRztd2wWE2LmMw2Rc+ztP2W8A0MXH0kIXl9RyUYjlPNo1+2lYdA0xX+x7sIwXOnTheRcZ1W2rCWELCL9P38X3jAY1wzrTlFxqmq2ysIS1KzbmbJIBHBjzvweRlXIsS+CQya7mXSMEf01d11cRyKdZNBNZy4qxErNZm1k5SZRCaR/TUrNUayPwPYYgmlRUjsBKZtSSVYh3qiNHaqpEkWKXil3osMJq1SWCtRk1TQD3r+aUGlim0mbBtGbUW7zLgP/0gDcXEoQjLzodvUpu1PwXvmNsyzhGgWYuhKBKnT5xz+P2kslxJs7aGvIowa7kRrA/FfH49mLWV7lOZlKm3dYDVj1mLyeqwvPSUiByAy2/rsC5hXc1AF+07cO8jWG8GmbWiZJodJmREN9b4ZQmq7lxskz8C79y5ZotERDJoimMbHrBsSRnYJxmOugfXiVo/1c2sFbJcPe3etHGMWdvspfAQn/Mx4HpifyokMOj+JpYjmOxQsxbX/8sUzdoGrJ3OM1iwhEiKbXB+VFrPUWDao1nbK7HZqXlt1Aes/V//6385f/f2t7+dfn9qTw3jrJ8pCaFaYFxfEIbDm5NoKU0ypz6gHodiGz29VAZmT1Cv0RhNrSsnZ+oBYBoWcVpdTbj8wLqmgrXM2OwD6jGLGIH8PIGNxYl3+gKYDTCdPzAA09ZdTgGmmTGNdUUm8oMCpo1of89xwrCIExAR7sNKAL8Hs5ZlEMRgrQ4j0szaFM1am+nagDAyf3gvsY1SkowZFgFnro0vTA1I52AvxBaIXY1ctmBSMxO1sd1Po3UNbPS2En2x8bX0bWw/N1hXHjscTF627uJf6SqHpRfs6+0FsZJdiDNB7QRubX+RjaQLmE5gnrJfm/0tMcNysjbrUg1Z/MaRCU9FTBjbzPtISKDW1YRMl0GoDb4kDl036K7SpTOh3BLAifffRkpAhbwng7X6rwkkPbImbL3z7QjnEfwcEaxVmrWC8Q37O/6ZAZwpC4V9pWjWLjaQ3z4SM2urG4dQHS5ajOm0BGON84ZZKweIW4B4cuY4AH0+2Gizy7Ba8z4MszaxysgOV9+PxGlj3DaNWoAcrOUlrei72Upslighwq41sxb1HYPa1lwfq48bBj6kG4vPIFScEgzVjIn9IuRwbKJEX/iYhDVfi+WaCBQjq7DgbyGBWGNLA5jEm4IEX2xboJ4wia8X1BPqBDPI22Kbmv24e69oRyGFD53pJGPbZwjAFGjWBteJAVZvXLN227e9JhaxXLvMWlf7uizfgQxCjwTDZBb+0gsk1vc2UYQJA9tkrKLT6grWfQlsp7YbsDaUMXi1WsFslq4peWofmIa6m3a4stTMpFgOZcxNeoG1JlvpA6jrWKMnfdmmvPBJYULaLMY+ep+c0CmVMZ3PJi32ZrrjtIRQbPU4b72jXvIWmGAggTXNusD969oPmDZgVI/3astbTBIOOmb6veKuQDGR08yArYnfDrPV+oC1VVmqhCK4gEmoK78PXEwkAadoRQVVrU+bhcgE1xGT+PTVrE0JgzJtyotKabIvR0i7AU1DdeUxxBr/nAxMl3mAPhtMlIDDXb/eBXEghN5ofXZ/ZV9bpgHE3K9DwKKLCRlLakbXu5LH2eUL+myXvUkSF8tUvd2+PsDdZVzWVO3zVn9K3KzjPRuNbGQJYC1PxyZhacpciUnUkFlbp4VU0622HquIzdJcg6+Fl+ciFRx9MYI2SqwlhYHZoMqG9Zm4j2gB0+a5AjBE30gHZ5TlXagboeiPdP2ZYqNqLABr7YOW6V0lthV7M/XxCso/fBLK//M+pR+rf54853TaKJcynKxkX2h9EoLzZ26YdlJJAsOsNahpkl9KEpnJE8exMUkuqaq6gQr9naekq1DXa/3YnsxapVlbyeRSbLBW/ylT/W5babVXSmQRzzkqKil9vYdAF4I/9F4TIsdagFMCu9Xco83I6gnWm1xXm00vBUzJb3e9JmXWemUQ4r7psK6HDAIexgS1XCO+gwzXAFDsZRG3fFu/64K1sTwOnjYXA5iEVrbrHlqb3ldmbYpmrYW/NGu2qr/kW8opbJ43B0l9pSFPzWkihOj3f//34fd+7/fMv3/t134N3vve97auWS6X8MY3vhGe85znwP02LM/Xfd3XwX/7b/8Nzp49C1/xFV8B/+Af/AOYTsPanTiY/cAP/AC87nWvg+vXr8PHf/zHw2tf+1p44QtfeN/L/MFoRsYgUYtyrMGfUc+TlSb5Vd+ERf2YtXkfsJb1PnvWlXU3R9N+bFNmP6fWtU/yK9RBLQewTY28xQNkYGLyqz7ANCasW5DuIAKYJeSpZe7JmGYmbm1rVAlts+ynuzzOMyMhgkkF7QR297OuRvqjx7fDUh5o0xREJFebBROmk3C2iMAUfuubkQq5l/pDQ3/40aVs1g1YNx41mapjCydmAOp7sZxH0hP9DvAmWpg6gEUX6zPkrzu/BBfhPD4j+wpBEIuRZDTQPG3cAIuBUL6OT9rMcjYvHH86fTzImBCwTp0sYrp+E2TWOgFxPmgZZcHvv9lI6jqiDAKVN6KnZ7WvObRnn6LQ0C7DSapZ22x0mgMFKbO2Jia8AgjSNWuRjVuNasj7MmtThkSLgRkiRbR98b0NCI91TVBBUPiorl7yzE4syLoXs9aQc+2fHcxEABL5ROweM5BLQT0GpzOAPZRBQKBNxKxtysNuYj5rLavFfvERyAJeUQx6iilH3EaYDE5ker5wtXHQm51gTP8pJptaALECa/mhkMzARCawYnvXyTIISVK5DGanMNK7zNq+2rG51qxFGYSQW4cMwmgIs1azuxOX/wYoyvHbwXonrvdwLEbwB1V+pWO/7Vdp1qZFcbXkjRLWmyqJp9b7LFHbN03+YWs9Yea88Lreq+MqIES05Y2664lwvbGNN6XWBabdodx3U1dHhwr4FkV98X24nrHWNCRj0INZq8qZAawEa2Jb/kE/q0kIG1uHtw8GdqZZK5JBaPZvlKSxzyGhTqa8TpF8M4sPpTHdO2fRqTlNtCv/6Z/+aXj1q19tJvNv/dZvdV534cIF+PEf/3G4n3b79m347M/+bHje854Hb37zm+F973sffOM3fiOcnJzAP/tn/yx4LwK13/Vd3wWvec1r4GM/9mPhh3/4h+HzPu/z4Hd/93cfCMj8wWZ9s36yfAHLGST5LCrSYmXALMUYaC37MPUST2zZJtNc6X32CB8H6z58TppjDer1BKbHPYBpBPFW+F5xA1tVlOgsxRjkHaeCgQwI9ZEGYGA6UfJhQpOz2iitl0UyWJvpsqZKeQyREEGt5j66ywjsoCRGXpSw6cHo7Sv5YA4oiv4sYgqDTUkIqAXwKUwnBTilY2bFKEHwJ1WzlkKwtVSn2PT4WVC4pHCR2GG68rAiqquPWSuSQbA0ay0NtBSN3O4i3C2DYL1r7DfWuNmAemngMFrIJ9axRhkESsDlB023NJAFmzsnY9okcgltrraZGlI91633GmAr22a3DWK0EwLMarkMgu77I8P+7s+slcog4KaXAAJ8RMJ6hNhGo4xClKmKCYd9rLWZpYI/PTRrbYarSS5GsoaCm/ndWQxgMVOPdVwr3T4pQKL2aRVdPfLKGRg/+yGBa4J7yAyzVgLquQDMxHWBKSsH6Ut0z7VmLWJk/I7ERnKxjS6wFBDn+YK7n/y9wrYMAjOZY2W3wH88qCBmbTrxs5FLoeVXDxkEU55aLoNgfTt9mLWsC5zUm0bMZ0egOYT8u5i1am3ah1nLSxCx/nEriac1JuY9wdo6kVlrH4gmsFu3wtYjcgBbfsdK73OLWZsC1iYyayc+UE+yltA+cw00Nw+NM4qxjY/XvkPnCLM2FPUV2M/w9cF1omdfjq+Vx7iZbwwfyqzleuMYMZJLg7V8Y2SmlchPLIOAdeOozslYzug1gOmY7t/XM2VsLb5lm0KxykcjOOglg7nRUgppeUFOzW+i3fU3fMM3wMte9jJqeAQ1EST9s3/2z7auQVbrI488ct9fzI/8yI/AvXv34Gd/9mfh0qVLJrHZK1/5Svj2b/92eNrTnua8D5m/3//93w+vetWr4O/8nb9DP/v0T/90+MiP/Ej4wR/8QWLbnpp7oMwSVzD5NKcFwSgh+7IrlDtFd9OeGIyG5gMI5UZAWSVnKmnjksJoxOs5zD4VmB6ibVoxYpRY16lVRgQw5/thJrtf3qIngNkD1ENJjD7ANAOY+H6UbMSsF2M6FaxlALOPrAYyyrH3VYl1RatGeA/WtRiQEDCtD/P1fVjphaaRIbMqyZBZiznvNWNCbLiZ0yG/KQnGGFRCcBgtyaf+tjc6bzqumXAhHvSnKXIMhIklCRxgn5EGECQYU0xXNf7JZRC2wVPKcK1vcwKnNtMVv5FpRFO15a/qmSQDKdGYEGv7m+Qykn4msqQyFxidIElgMV1DsgRNG2/XLwZkdvV5TULQyJij2Eaq6XHTMuGAWnyM4Htgv2PWmkjVrEWEmDtHQhisAvQyMTjc+FWsN/LYg1krTTCGIFj5jvdBfbgcoFlrMeGlY6IFAjFw049ZqyzxaL0NTNM6MxcyXZtuUFNdszSw1m5jib+9CWT7U6hP1ia0P2mbo5m1yBbtI4Ng3yEG2LrAtBj0tJi1nGDMfNuyZ4w4rxmR9CxUXmAEECAQk5I4rtP/UpKSNZq1NR2mBrVjHYbfN/egTZ2lfQMjJZdCzwnStJlZu1VsI2mQYmVPsJaTeGKUUI0aL6nMWjw448OVhLF4OkAGpzWvCwFTNpwfFxuL5Zqg1bsVti4kYXg18Ddx3172pYhZG1izRdo8unayyy9hEbt8b+nV6ojUTK1JnOYBqcUsVxsT0B9cIw0WmTfs8lraseLx3ypzORpbh0lSkggu1ErY65HYmP2zDEI0mq9jLDdCe2c81E/fjp6aw0Qr0PPnz8Mzn/lMeNazngV//Md/DC9+8Yvp3/Z/jz766ANB0P/Df/gP8Lmf+7kGqEX70i/9UmL6/cqv/Ir3PpRMQJAXr7UB5r/yV/4K/NIv/dJ9L/cHpfUMb270PtMTFtnswBTgk2yABiYPjqnAtA0oryXCkJbZ16cC00MAzK42pdSQwVjpd5KaxI2AaWYRG41UmRkQsIfkAzOmU8HadhK39DZmYHqcqLtskrj1AqbLXgkBwQJ4++g9N2BtuoSI3VZ9dJfLZLBWMWuRHdIn2Vet2bziBYxuV2aVJ7F5+R49r4pAGCs5FW58k7SyGOzTwBQv8II6fi2mK+v+ZeafvMgM+bPHIfZJ7GdPN/ZpusYW/yF91fCGw888VWyjdtmlmxwEUDj5Sas/CZiuvCFr+Uxk1nY1ayVzSZvlGk+g5vJrDuuEYC37LG09bSmzVrO56NNJPAAjYKJGnWpMBjROBmFQVkYE1h4uCKjdYn2KrAHSOLmYWKJFb+RwU8Yh5OLhyQjTNZq1ShBK7tqEchu0Vs7qNTiznutEshFGo9cUQaZZOxpB/rHPICFjU1SrHr4yGtOatVWW0TsSS1xoT/blYvKyAZX1WNyDWbtOTjDWBoiJXdt5ZswIqGWWak9mbcUFFTFr1R9VT2Ytti/zY9dJ71VZodt2lqa0a/pwPy1i5TPl/Mmed6ZVX2at0qwl7wl7tBaAmUiqac11iXumLVAvgdVrGJg8r0uTePoYmCJmrUfXVABSBxOl8r7Lq1kbYtb6pSdEoKmnzc3aNNdJUl3G9+CpkYVDiEBiu8yWby6rnZTNaUQqaN65WcPgwawkusKSf+BxGB8pBmt1u/O4kiS/gG2F3zhJviXKIHD0ok6qnOT31IImQohu3bpFEgcI1qBG7NGRyojqMxtIvR96tS9/+ctbP8OyIViMvwvdh/ZRH/VRrZ8///nPh/e85z2wWCxgb2/PmTQN/2NDwBcNwWH870OCWTseJ9WV9d1ws7IhvU+5S9TMBB22nty+egOHAF3qvfZGPuVe1Exs9D7XMEnIUIDXk2+8Hzd4KX6ZQbcpk+taaaALJ/HUexHARBkEfE8p92J4PbYRkVnyxLrq94qgYHJd9WSPGr/J9+rFxGaVVteW5MM0zS8fjGRlel3L9YaSvCAw3beuCNam3stgKx4gpNw7nmSKgV+mj6XFqqC6VvTdWJmnI0Y6hVqWYLVJuE/TTJEZgt8rslIk9yrml3qftV7YlmUVBbeU7ILyuVSBlrRoivlkf9z3ESzCO5aCuvIhV42HMsg8RsCXNnURv5puiRENuFDDcGi+ermpYM+zKzTfJo316o6l9okMJ2wCF7BBet0rHUFhlWuiQRx8hqu8tcMf25KyM6kN7Na9+tug8jqeiyD6sqzJ754Fujb1c7ffQtcVDduMPwEGoPD+zNPu2P/wN/iO+NkmysJRP9twk6Leq6orvm9un1gfwb6Ad+N7rapC5M9OfqLG/6Z+km+I62q06HUWdQnohf2e2Vw4x0u/dzQkbdOcVWdQ4bghHSs0ToQtNRnpcPDY9bonZNb9iKnE7sUepPRbsf9Z71XQNsjo5Xv5m8UWFt3LZdabOvwPQSspg5NY+Da5V7eA2Lf6XFVfKDnqoRbVl2QqtC8cL8WsUxxftF9VdvRZQYYCnl1ftNbR3yWN9+qQD7sQSiGIgTJi5Jq/Qk2HB4Lycl11e6FfyX1KpVFdt8Fn6AhgehrueQLPsOuM1WOslcBXYRvjOFrbMhuC98qGQ2/TN7Q0QaxPaJkJPDSTfjuUy6MCyJiUotsYz8rlDGY8O0LWvwJ7MfLGd6/drmzch6Xfq20ob4FjGx49pK67cPxXZVVjog2CxQwByDWCtYgFURvK7uVzOVqP4H21niMF9y/1nIjgGq5xCc9fFyISEX+jao6tIGPfuMaK3M/yC2qdWFElWP4h5JuXD+yTLcM9G/rGxvDcj3Myl7v1XnHuivhm8HHl2k+uC8WU97Q5lpXK3vXL+vk0eaOMVNHSnWXZHAzRLzBhsGtNrH3TOG89G8up6hrYS2rtbGo31BDXJKHue/XaeqN8Y6STvs68V1ddu+6xQTDPxXrTkv7DPulbE7t8L/Teg9ZetB6Jf+8UoYLfOUU35/G6Otqcowid7zXke6Kl5qpK1TWRmUtrUhz3PwQwtioFV5NcdPXqVfiN3/gNeMELXgBXrlyJbjTLvhnUhZq1CM527eLFiwQqh+6bzWYwn8+37sOOgb93gbUoncB6vbZhgjKUVngqW71RoN5is4SbN27J78OJjcaTGq49fgNm+3K09vDmCZxFkBeyJJ9oq7KAPWQrLdLKi1at1kovcb1OvhezTWNo0K3rd2C5wbRUMju5s4J9rQuT6nO5XsMMB7RVenmL5UprQ27S6wq4WKvh3s27UI2tJBoRW51sqLzYLe7dvQOjYzmTeLFekU/U503uE0cL6hPrquxRV6AyH94+hNGB/D7cnKEECNb16OgQVil9Yqn6BC4MU8u7OFxQeddV1aOuiol5fHicfC/KGOC9ywXem94nxkUJN67dSGLSH989gvP4rUMNN27dhXwsa+Px0YpO2jFE58l7x3B9rLJ7x2x0vIb9ooBlnZPszvHhIVwXVDVbl3CAi9Qig2K2oV3WY9fuxBk8ZQVndDKKa3dPoChwswFw/YY64AnZGa2TdefaLVgtsLwAtw8LuH7jJHjfwWJJ8ht3D4+gKlZw90Tlwzg5OoLrgfXhQVXSQcrdG7eh0tIoWak2hY/fuAtnPcP//skSRkUBi6NjKDNV15tL5RPdXb9x23nfXlHAGN/FrbtQVE17LHV57x5hXbfn5r3DhbrveAFF59l3jrDJK1ieHG+103yzhrwoYHX7EDYTR0OUyu8TN+5BYS0vZveOYVIUsF6uYO2oyxHmECvUBu3mzTvm59PlCqZFAZt7x7DytMHiWN177wTrqg6TJ7ePYFYUUGzWsPTch3brnrp3vcB7F5CfnMC8KKA8WsAicB8a4rN477VbhzAvl/QuqjKD25H7cL/BBJ3jxYq+iepkGb2Prtd9AufmTVFAnY1F93FdF8QEq2CzWInvQ8sQfaFs4CXcuH1XzPzcX28UEFjj+H+EJ5XB68cna9jXa2aFB2fEmFus1rBAvwHLj5aULKtcreHG4TEU5QjKdQ3Xb8fHw/3VWoUqLpZ06IVfHW6urkd8ok1PFjDDMuP/66RZxXotuteMb1RnBYBuygrWiwWsBfdj++KBF/msKtroF4tVtK3mJwuYkFwVs5wAbh4dQ72SreOxz5Z6o4wbSpx7bt++58zAhfMMv9PDO4fqHdUjKMoCHru1gn3hmf6ZTQGlYYTXcHQia6OzBO6ogwa0VSF7rzmul3S5j9cFFHkBRbGhNl4dh32PFms44IPbGsGVDDZ1Sd9AWcvWBXdwTCzHUNcl+cR+fSLsU8VqRXICKg8VHh6u4Thy7+RkAXNMrLTeUF1XC+zDgXmyruHgj25AVtZw9LyrGoxSEPfNwxOoR/H5mW2BYyJkVObDu4c054a+U9sq3YfxAEz8zWk72RQE1mL7JO+T1gXkZYXLGTi8dwj14kR2X10T6LRCEKgoYX3vGI6Fvk9WNRRFCceLEjYnuEYp4RD7lDX3++z23QqKooJyVcG9aqm+4aMFHAp8Y76Loqjh1u1DuFkfw9mjE1o/HJ+cwOZG+N7jJYaA13B87y6MlhmMj5ZwFue84wXcC/jGAzesa1kA3Lh+02AtB4dqLXGyOIG15/6b91Rd8RDUfq+jVQHncAKtSrhz/aZzHtss1b237x7Dzbw9d+zdVesKxDuWDt9HJwVhPsvDe3Cz7AxsdQ0XsDI1wN0nb0JtsVQpskiTpJ68dsvJ4JzdvktrjPVmAyeW7xvH6t56HN7XnUcsoqzg3rWbUO2ptel6oep69/AEbjrWiWzTW0e05t9sNqav3jtWfWJ5dAg3Ibx3OFuW1F+ObtyGYr2ErCrpAOzJ67fhbDCjIEB+b0Hr/3Iygus371BdpwmYyEGxof5SneDeYR/uHWE7ycam0XJD/WVdZzQGr09wXyffw+6v1/S+se7XbtyFai8NrC2rEo7uHcH1yXUYjxPlIT/I7PDwUHytqCXe8IY3wHOf+1zz9w8lweBv+7ZvowRmNrP2wz/8wwnAPnfuHDyVbfERK7h14wY8/PQrcO7CftK91/PHaIFxZv8Azl05I76vuFNS/0L9sstX0hja65sFZE/cgQmMku9dwRPk98zFs8n3Pj55HLKqgr35Hly+sn2Q4LN6eYd81pP0ulbHANl7bxG7MPXeBdwgvwdnD5Lvfd/0GmSbDexNZ0n33rtxRCwC1A+8+tCVpKRQo3IC9TuvU0Kb1PKejG5TXedn9tLvnd2CbLGC+WSadO/ieA0LPUY+/OiVJBByPlnA6vefgEmdXtfFuw6prtODeXpd53chQ7B3nNYX8WDmdv1uWgBeeugS7B1Mk9jWh//fY/T3c+cvGPkUiS0fX6h5aDKCK5fOw2Qyl5V3uoB741swxQzM8z24ekV2X5UdQZXfBlRAzvMcHrm8Dxf3xiLJkfIP1Mp+fzqGdT2CsxcO4Bxn9PHdt9xAmV8nasD87BnI767g3P4Yrl6Jj8PF3g1Cxy6fOwuXJyPIj1aQz3K4emUvfN/oGtEjLl29CNl8AqPrx7Qxe+jSHlw96383xf4dgOMVXDxzBkaX1KnGwZNHcLSp4cy5fbh64G6nYnwTxXxhfvk8ZOdU2ZZ3C8hvLODc3giuXnGfkJSPI8BSwWx/H0bWeHuUbyC/uyTdZ1c7Fe+5B5AXMLt0DkZXzrZ+l98+hvFoDVcvHMDVS+0+XN5aQX24geneHMZXLm499+zNY1guKjg4uwdXzzftVD55AnW+gtmFMzBy3AfHJeRPnsDBJIOr1hxZLWuobpyQTNM5131Yl3kB+e0FsTe4naqjEqr8GKZnD+Cs5z60yeEC8mUBl8/P4OqVKVTZBKr3HcIkz+FM4D6083dP4B5qoZ2Zw4ViDFV+F7KDPTiI3He4qiB//JikbS9fnUP5njsUJhi7Dy1flpDfOIF8U1AZYX8K+4L70KaLJdSTJYzHI5iMRnDl8gXx+vUSAnE0xozh6lX5mLiZ3cEwEGKuPXLhDK0LQoblK8d3G7BWh2fO5zM4c/F8+N4sh3J8CJPJFObzfciPC7hwMIarF+MH5OX77kG9qWAyn8HZEV6fwSjP4WrEJ5VzUUF1SwM1mpV+MJvCXHAvlXtTQpnfhEyzgccYtXewDyPB/eXjR7BApAuztM8nkBdjmEyn0bYqbyygHm+ICXk0yuHu+T34Uw/J32s5O4Tj44aph4yjKxfOOXV26+wEyrGKwjt/sAfV+B6MkKU0zuHs2X24FBn/jc/pHTpUx7rit3NmPodxrE/UNZSj6+p++h/cOY9l77UaQzXWkZP5hMq7n88gX6xo/Au9nzpv+vG4QhxzBKPRGC6eO2vG95gVJxXkt9cwn+aQr8YwmUzgQNinbl9fwQoWNGfmyKKcTGA/ci/ifTjWYjmxrlfO5a0x3Nm21Q0aF66cPUP7lCdHN6AuM5gf7MPVi7J6UnlXFdwY3YZRlcGlMweQefZY5XvVd9oykrFXURGS92rb9ccQoDqBMz32HRfv3FX5lsYjuPTw5RZTMmTI+szzO1DmOUyqnN7rXOh7tsJ58i6xoCcZCvdncAHHYw2+hezdqxPI8yWcPzuHc2f2IHvPbcjzMUwFvs8vjuGJ5Qom+7ie3ofsD68D5Dmcu3wR4KKfvUHsR/QzAnj46gXFotxbQvbOm9hwwTZHgDd/TB0onrt0wUgFZDhf5hs4e+kCwBX3+36iXEB+ZwHnzuB+xdpzY2LU//sk/fXypYtO6ZeLmwXkxwuY7OG+rl237IkjqvfBxXNw4Ch79thtGBdAc+vlg+15J5s/SVFil86dBThor7fn77tNdT44fx7OzR3rxDsryPIcxufOwJ7l+062gvzmMZw9mMDlzlqu5Xv/OrJ94OLZswAXVL1u1EvI753AeBa+F04wUiyH/OyB6avZtbuQ5yVcuXQWLp8Lz7HZwR3SdTl/cIATBRw8cQeO1hUcnDsHl89E9jrlHeX7YA/2z56FPD+CM3vYd4Tf+vUTyI7WcH4+hXyZw4i+dSFedfeYfGMkCO51Ll84gMuXEnK23F7B5sljmGdAZb98IS23DQLEVV0SxpanhGV/EFqXPBoy0e74K7/yK83fMdHY+9OQCXv37vZJIjJjQ/ILeB/KGeDpkN1AeB8u3vH3LkM2Lv7XNQSbUgCnD0b78D/1NCjPrODM+XlyXTk5U7mpk+6tNIsAQ7lTfSIgATqsOvVeTgiVI0iReG+ttWlwA5JybxOWm15X1H2tBtYVQzOS62oyeaf5Zb1BzGyf+u3ghmylpQVSy4unqmjjSXpd7cQ7feqKustjBBcSbDqfUl0p/LaqYZyiC2Y0R9P704i1dRPrurI0bud7ad/OdKolQPCEfVPBbC+hzLqNMTQLs1VzxuqY1dNcZXqvKnqE9D7SZsT66sQn84nyG/U3GUGpY1EPMsU2RWwjdi+C4DQ6TMbEvsl0UgOJT0pQhZIEZU3lxDvwRD90L4V56TBvBDtRlgXDdfEO3GyE7kXAkMKgK+w7WoMPswtjCHqojXV/xYQE6A8N9blI7ypQ10r7wwMy+5p5Hq4rS1Fg/bq/p0gzBMYdfpENQr+m8cfB/iC/Fb1b+/fM/sto7HGwWXRd53m7/+LhnXqA21+rrmVTV2T0g6d+rbpiCC+Wm9/rdEx9G1nVsf6F92SgGCLY/qp+YX9bdZ3kqm8L/IHuf3QVtyetDWTfLdYVx2EOsRxhuYUx6HuZ6v8FzVdygkLFvrREhjO8077eZHdHgMtOvCW4l8YjlZGe3+t8HL/PZvHi+IvhungHvhfJvRgKrLwqoBbvGAvvpft1wq2M4mu1tICgrVSdGykCBI24JNG2ogpncO9pl+G/rObw4WdG8PwE4gmyj9kv3oZe0acL/McymndKIfZK6kqNT/J2wrmDo17Jr6CNUetciUxgOVV/KgV9SRUW65i1vlkMv1X/F/Zt92NMkah7h9J1FdYX2ybFp20YobA2EiT8PWWi+uJa69xmDQ+/+wbAsy7D6LwbOKXwXH62rptKzYrDmbyePP1R8kNKyObvv3rUaxdbvyXUIk7xibZGwFNrSqauE/e1qxKB+IS1baE7Me4fMiRZF/JkzHPGepSWh2ovXK8K7meMm9ZrqAmlP0CJ75lee+N7onbCv6Bv3GcG7mdZAOVXz1VYXnphWgLL886wiJjIE3VNsT9huVUhSuV76veN16tyd/ZXNLirRSjthxxJynBep/YqdV1tw3vwEXhf53csb9TU1VE2vA8BY7yu83tcJxbrmnSUnfey7069+b1u1dXle7lW9dbXYTm9dXX4xkyj3F9w3ROsq21YZiy79o1lRbBWrRMj97JvXP/ze6X1mvB71b6n+rtT63DhvfiecCylpNPoN3E/SXsssPZYiXtRlBbCOeNDAGMbpZDW4IPMUHO2q02L4O3jjz++pUfbvQ/t//7f/9v6OT7rGc94hlMC4dT6W6UBTKMzJ72Prxdk3Owa68L0yS7PGqOTxIz2reRMiYnN+Po+ya9yrY3L5U4xbh9bR0ds+r2kvlcMKUJT4ZaJLvm99tCw4eRXnKHyQSSsK1AfyfoGUmxqaR6vU5N9mYSA6XXtm7Buo5OaVRkC02n1xQUQJ3FLTlhn9DmTblPaYfgHyoAkJBxCvUsK1+WNjlB0nxbmul329LZLkpmVkwAiMMXJJlKTmtmJDaLNy6tfQl1G8cQRnkMNNi6rL7EZ6W7x2GUli2qy7QYcmr5ayZJzsE+uo6Ofmrq62thK2iZO9mVd7wMHTRKSTvua6wPfokmSgewqRnNMEpLwss60sfaLfcxOaJee7GWUmJVbX486dgL9NfaJGmgExCSMM6STS1SwLHl84+QcCNamGLcihjeLWLxWExDIxEWVSFFayZ/wcIX8pq7qUduOX4lU/pI1Rc2/cZOVoJ1ZbxVfnmBM66CijXiOlQzl+ibWTE7OG6p1tPVfW890ldH8lQ8ZdD/SSyGh4TGQ/ps+9Iuapa3MXSE1GTgaJ6wb8/iU8AxbszYlwRj34byHT5zTW7ckfD84Dn36zSdheryE6k9u+q+3n8l9Qf9zlagdu8KDJNKsbQ6inC67z7WwPvxeUzVrl7rEOJ6mGq9hUsdEk2iIAd6EcZiAe33Abrq2NMGkPcfaa1xBm7XWE1YOAWkCTwRd8b/2Pda6x+fXlexL4JvXs1sJxqw1qHcNo+9ZucrmSLTFhpfzO/GuE02CsyI9yZin3tK1qSupnDjpriO5Ga8tnevErnUSu8XWp27fuT9xXMh0mfOO1q7ItG8kpii/iXt20qxV32tKQuVTC5toV/8xH/Mx4tAxvO7tb3873C/7gi/4Avi+7/s+uHPnjtGufdOb3kQI9ed93ud57/vUT/1Uki3Aaz/u4z6OfoZaJG9+85vhxS9+8X0r74eq1T0BTAPC9AEwJ2OVsKhK9FmhhqVm1vYC9XTClLRVuLmeRONTXU4nxCLAcpNGcMoJjW4fbK90xwzMJALT64KWiJzIKsWm1jtBUG8mCH9iG+lJapya5tdK9pUKYCIwTWyWHnVVAOaYWOmbZQF7B7N0YHry4OrKIGufuqJVdHpbQpEI/nM5MXlTkiErjzc6Kd8rJifCRCQ6s3zKJ4thsjiu7Y9UmmvRAsYC3hCQQ5PmLkSwjxKtoM6VPoPkZ8T9qYWWyloLMpCY373VdwxI7PNrLx5zx2I48F457Lg7BjU+PTdaSSS7xuVEJuSW8fWeb4Pfy9Z75es9hzZd0NSYySLsX2Bz++BGCR9Dr4ivj8ydpq7jbXAfgYHQWq/Z6FjgvGCubm2a7evxGZHxSm16FVMDv0EG2yRm3gn6RB1xZDYJ752RFmVzQCM17iU5ZtKRWAc4oHnSeo7UxBtY41b7xQRjnUzxUqs6rE+xad9cVwLhxWAtshv1/cgas54nKSwn02FgUGpqVlcWLaldHv1euHpJfjvMWlE9LeDDgHpifw2vGxlgaDmPiTHf1u8VW1QxjFOMp2SxT8uQzatKrv9Xcq+u73mUS2EQPkQosJ9p9WEqe2JlKdkoMbMjB2XdaiADXfcpZNbjfLeXsG1ZZP3BWj7AwjwbKcbzejb1A3c+I2mvcQaTtUqnSICvcKxoAV1dwDQyb7VAPXqOfhERMoRzHEb/2O44p+AeN+Ab71tsOusJA5j6fQcPnHGORd1aT7tzWTFSZ8sCe3IGd4kA4esSPL87sIAogOkBisWgaQcw7QXWMpZBbOeEObazp4oC0571eOq8ru5T/STXWtdJoKn2vdIjGzKCkyzPFSm4qmBxCtbuzERD/Cd+4id+wOjUfu3Xfi3803/6T+ElL3kJfPu3fzu8733vg2/+5m+mnz/taU8z133O53wOvPvd74Y//MM/pH+j9AHqz/79v//3SQsDAejXve51cPPmTfimb/qm92ONntpgbZXMDmxCK/swMIseACZqZ/JEPEtZ9RjH/RiY5voedZ3Oc1CKcTWVfzofJQPTKRqhbOa9dDW0hMB0H7B2lI+gQpAMT+qWiWCtnqwQ3E41Cr1JXFgyCJj3ZEwb+QQEaxMBTAZrWQ4kxRjMzlLZ4ev+LGK6DxcC60Tg1KprKrOWwu0Z6Eo5bcZMxEiuGI1o0ZQ0H+I3s9zAnh5josCpzVLts1izwL4Yw7Xrj4FQLqOWBQ6bg+kaXRDz+0PWjLU5boDpQF09LBG+BxfUyDayw0NtmYfupgOvbcLqZMxh23x1NWCyZ7Hr3VzpBg8diOEltMmvFRCaTzNzvQuMbvktOm3M1+OPDfILQWCawFfjL/4RMkCFPs03WOpnCOY/bGNm1qYc5Jp+jA2GqEbCYRQyY6nsqWCtBjxRY11kXeKcZlCWicxAZOp5DxxCfmvVn3C2kc44PP7xI+hfVX9mrVYokN+u70ct4tYPBDcxazNxymkAT0viwPuK7Z9X3bFV7pNyGuiHicFa6z1wk+LQFTuIsW+goYAlDXoAp4pZq5LsiRnTxDbtMGsTzIwK6kxUFjbaeY30z9C+wcms1fN6IsMVmcuYxyH67XSfi+Ur8V2qnoFj617Cx7OoR72j8mbM1EsEa5tx2Jq71QmN6H4a/+v08b+1dkoATM093SgSO0rD59MXCYV1p5ceHgAUOFY2kV+0dtF/D8yVwXWidSDr9umJDrLvcfhmcBcPwLxjS8B3dJ3oZdYK2aYOEgqDj9HIuk697TKK1uJdZq0UJLbuQd8SAsOW6TLTN56pNTGCzWYsD/ou6Dtb6jGFDzdTfNO+oa7gbp+QjlNzmmhX/+M//uPwgWKoLfuWt7wFvu7rvo4A27Nnz8IrXvEK+N7v/d7WdZidELN22/Z3/+7fpQXLD/7gD8L169fh4z/+4+GXf/mX4TnPec4DrsWHgDFYmwh08SDVB6xFbVPMWYj6TyVtYIUuNaCM4ZKpodz2KVadWNda908U8052ORkbvU8sP9ZdYiUu8vTibzIfAtYmsoh126DGaB9D5iaCtUVi7OJYL3JYNiLpXn2KjVqOqSziIWAtyWpsNslSEyNLszLVxhqY5mdIDUHWMYOuPcxIiGjpiFSwNpNKA9j3ks+SsuamyiAgszY5LEi3zSwBrLVZoMlgrcUEtcPWg5v1zsLUMCF1CGLIXEzXGLPWx8oU1dXDdLW7PZZ/j1l3W0zedl+1QRv3RifGrPVsdCwpC5f5gGlzfWDcYbYR+sQ2o9QZAqYracx12SG4gMf/8OdYx8C3bCQfCGjlDWT82zf9ib9XPFAoCzHTFdsIky4qGYQEZq32O8I2wTEmYSyfYkZ6Ypikfe/cS5SqvMS2mbWllOXaECEtprbUbYPW4uqBwFrp3qqD3ymAOX1jZhVfDuqRBiy0N5Ie19WdY6hP1jB69ELDrOU+nMqstbSIGxOgtTwvZ/38GvayBvFjRgdT2nhvjl8Zvlt7SHRbw9hnpikO7/jE6sl7kJ3fh9ElT8Lg2iGDYBRwZcZ9GEPf6ZEJfYoUhXUb0W1CZi3rLut/Ru5rM2uxfH2ZtTiGomYtVTVl3aXbJrOYtSl2wiB8D7AWdW77HGAxqNdEfcnYrTaYiOt/ejUJe8MtBqYQMN0C9Wxma2Sc8gKJ5HsTJX9sgXpmnao/Rq/fwEF3ZN/mBRIj8g88rweXAIGoPfGh/mSgDIKDWbuJrYk79TZjk5Ss0al3EBCXMGtT9jq6zEhWyibqNeJz9iRgLe51LPb8tGf04qSs3LIap9bLetAIG8OOfuPGDbhy5coDZd4+//nPh1/91V8NXvNrv/ZrWz/DMiK7Fv87tftshh2UqDGqmZAMHqVYTj7Vag31PnMhaNWEcvcD1ww4lqqVOwCY5vLmRZGk94nMVGUZTHr45ffC70lq3A/6SD4Y5uamgEIzOUX3YAIbvXFBJnJvtmlqXXkx1hOs5TYqewLTfXSX8b1ScpnEujJY2xeYZhZoCnBqg8pZD7e8YVAArFBXEpm1FBKdhVmfvoRfGN3BYv+ik/UGeOPFndSvzQS1F1oISnpJ1wbo6+jVpmhzuZi1kfC2LvAW3HBEmK6kkzXOqH2xrnsTd/2675t9YlWdyVqEmrX2hqPN5I0wa7t15esRlApEiDBYawBxgWYtdivGInjzoHSVkeHOzFP/wV8L/I/IPLTr2r6fpDrW8jmTmbX0BoRjDbFNOyBBinzPBMMeSbstlVmr/swxDlxU0PY/k0LXjehrH2atdmyRqeVEmDazdpQIrLHvPpq1lG3dfFphZm35+48rP/tTU76JBjxwChGzjXQyp61iCrDamvtgH0avTqam/yprY2scyvgZmDAGSeyxrmy9D4RZaQlkjT/lHzwBoxd+hOdmyy+OpTopZxqzVv3ZYHoJfQoTS7KshvQeAmv57xqID7Jc7b9bjOceIDwlP9QJAg1zUsSsbfohvqMUWQ3sPwsNL9PaGP9LYMkiW660QqSlZvRUKfGRnN1q/GLSxAqlqAYwaxMAU/uetj67ZK7zzesyoosXrMX7A98S65JictZUZm0Tot8BMFvyD+PA4UqgQkEZBO3XhxNY2q0uv1EgkYlQDrCWn+OV+epIT3AZxbIAHd9GfidJBm0M63V/Zi2SWibzEZUd/8NkrVHbKGIKJhhDORrp/Gj7xjFtignGTmUQdma9kJNf+ZVfgU/7tE+jpFyPPPII/Yn/RpbqqZ0adSweXBPZpkN0N+2ERSmgXqFXz311N/vqfTJjsw8TEs3UNQHU43bBe1N0brt1NWHoUuN+0Ffb1CSsk/u1E3T1kXxgOYFUBoIBHvuCtQbAlH87St5CLwp6ANN8D2scPai69pUQYVB53OO4kftwXlZyoh1q1mpmrTjRF5te3DErRXK2UpfbmrV9mLWs9xlbJDYh9MwiSAn32maethiYLvOwQH1Jt2L+Yozebv1cPn3rWJOAK8asbWnM+Zm8xq/vvdpjZEBuppXsy5ayCCYh0cBRowbSuid2uNqqK7epYAOwtbkS6PJ2/U5MGKxsDlHJd7Q7k7RNPpazpiOHA0qtSJZBaF+XdTKoh8wuWTKz1vLfgLWYREvCSHSxPtOZtSrdY2IiKuu9Mks2WmYcdG3N2qydREtizTG3pIxWeXQ/oqzwyaBek9SM7kagOrYeaQF/Ksy+lvo1shoK4BUD/3ST7VXLIJiCy6xhr1nSLGL/CDKpv2JVs3P78Xt0QEFTTOsHLrN+R38juZ020Cw1HEPLDA8PI5n9tg5zGoY3knlFkTrsEzFSfT/9kbiORx1KtGUiOas1/vfYL83GIx1ZUScd1jV+R0mAqSkrlz0gBdA1b9i6sN5bOq5C30EAM+KbfWKbbez+z9fT6cuoH1jrAEyN31AEFiWhde8vDIEhthZ31BvHYQOchk4nO6Sb5Ai3LrM2RbPWlkEYkGAMnxNsY49v6gfZKI3Na/nG7jKuK1gnyiWemt+SkZMf+7EfoyRfk8kE/uE//Ifwxje+kf7M85wSdb3hDW9IfeSpPQWtL4DZaIz2I32b7PLLBACTZRB6MmtNCHkqi1i3zbgns5bLm5KciYHdvsA0g56pDMxQcp8UtmmVUFfWfCW92x7AdAPW9qxrTxC+kRBJAaYtoKwHMM1sXCUhkiAPMBCszfShTgpYS8A0b4D7gLW6LyH4I13A1IZZ20cGQbXNVIdFi3zqRQ6CaAaEkS6cOkzQaLIvBytTpB0bAPq6QGLXfHquK0ldA0xX/uR8kgQuoC+64TDgMIKFdRpY62DyGr96KOvW1TBd0QJjj51QjcplsTF8ZjOXW+WKSD04GdNcR8G82YDw0AJ4pUxX3DQgUECsH+FYwz5p49BjPWKDtSmsUZ6h8r5grX4vMhmEhlnLr0M8PtkJxjQLGF2KQCeXZm0SsNYuPmW0T0gwxq44XD7mm96fBiFQtmWqu3sK0MXMWhF+aT9Wb7bHKcwqJ7O2hvrmERS//c7wfNkBA0aagZlSV5I9IGYtAtvpG3bCdkyOrwRmrcEomn4tNq2C8HvnLsDhI5dg/KwrooK2+nDUp02ZVvIJ3DwJW44tzVpbuiLo08WsTfBLfS/L6NCZapx4SI6hzWjLROigBXQZwFS+llfjv2L8xRJ8sSHoyON2SwZBOA/wPZRslSfrFGZt3pdZ2wH1BJF6bWA6ANZ6fNsMyhaAaTNbHeMAs037yiAE14l2WTt75A3nXYntYz19LQpg2uupjmatnDTR0ayNJVPzgLVbElIpvqsKOJ2NeN6hZMqcn6PHfp2SFGv3iePLqfkteav73d/93fCyl70MXv/617d+jhqyX/VVXwXf8z3fAy9/+ctTH3tqTzEbMfiTCGCa5FfznnqftHHcJAGYzGDsq7vZVxqgkXxIT37VSuKWsOjBdqET+Z7ANGq/rnuwTU0/6NnGfQDMYqC8BQKYKx0uVlWVHPDd9GeHK8ca/EpYhTMw3Vd3eWrRsRD43ZOyF3Tf6yvlYcD7BBClQJ1LvQjvw6zFshIehgnrxAsYBRSpBUyiPwaHOTlHUhhUumZtlwmK951smsW8hOnasD4FDh3v0AYSQ/66wJuE0RtiunoX/wEg09Q1BtZyuTt93aW7FmLySvySdAb2uY1f05XPM2nxj89i94ExNraRjDFrTV1xI2w2M3JmrQGmezBrMcGMCoOVjcOmrqi7HEkS5zI+EMIDGsdr9xq+Dnw1eSb0tcWca54jtcpiQ3n7sc+vBrnAgD81zGNjTQdLI/mQPjIIdlH6gLXcnxISjKEf7BNYz1RmLb7XVil9fu2fG7BWib+m+MSyttjLaChlcucYsqvn3Pd0mKEEBqIMggiEb4qP98xYWUxiVp1HOvFWMrO2m2As5QAAZRAygONxDncvnYNHJGsYBGs77RsETuvO3/HwSP9zlUgsx/F/kmVxzdo6oFmbyNTm+RhBYrJEMGVcleYAC8ccZov3Y9Ym6IeP0Z86MJcOxAyKUXQRFzOBWYsHQZTgDw/CVoVKYCdh1no1a/O0A9GuDELAN16KoLIX1IvIILDfRdVZJ0bIGF2NaacFwPkggGnLLHmkq6JkAg9QrEBeDNP39EG7bzJYm5roq+M7KcGYJcGwLtfpMgjW+9rX6xARSGzJIHAy5WTDAyidFyQ1svrU/JaMnFy7dg2+7Mu+zPm7L//yL6ffn9qpsd5nCgNThXLrhW1PZm0DYJYPLJSbtXFTGZimrj2SX7XYpgl1ZRmBvtqxuQaWsexhNoAHmO4dLp+nA9MGrO1XV5uhmqILzHU1UiCJ1mTMTQBrBwLTSkJE3btZbh6Y7jIf6qTUleUtcOnRgzCtBPCJWVvLxP41+GZkEHoya5HJiyZhODGoVI0VUIQm9msxQe37QnVlphYDy6w1JfLp1KyFsM8Ys1Ykg7DNdDVJHLoyCJ36pTBrSS6GNyOhJBn2ECE4nAoypgWHGC5Jgli2an9SM9mhCZcVE1UikKzuFTBrLeCULPGQRmnWaq1SKbPWBqYFm1XfASOCtSmsRKNZ25dZq9tINDTpTawtj+zUXQ74pW+o1rqzoQOWtmPlV9eRXCZqdqIZYizemiUA09qV2UzGwNraKt9Ia7EmMms3dYJmbavAdVsGIcEn6fPqv7eaJ/CN112w1gLhUxjTSrNWmEzH8Rgka6d2ia3Dush7RUmI8l3XoTpcGOAUj7fEAKbFrDVNGtSs3WbW2jIIKQx8BKZxPUG3B2UQ3Mxa/M7xcD6JWavrVgbms5DxHgeBnBSGeJPoa9SPWYsyOIkJxmyA2PRhIWBqJ/FES2LW+kA9KbPWJ4MQipgxUSSZGzg1soRhsJae1YoQCgPFjWxJ3wRjAWkA7h+dh+P4z+vTKNvU0+bRZF9cVlr7cbRZQBM45Bu/maqWg7X4jZa2DEIiSIxGbBTlf0//SCS/gFZYYG0fGQRrP1gnJsk+Nb8lb3Vf+MIXwu/8zu84f4c/f8ELXpD6yFN7ChqDeqMUxhxt/vRmcjYZpveZAK5VvNrpCSSyNEAqgGk0RnuErfdlYDLY2VfyoQEwa9gkgMRc11E8HbHTDJiQoIFjgOm+iePyEUkotBOzyTf5fGCR7DdhQcnGycj6AtN0r64rs3RlNw1jEZskbj0Z0wxspPYlXNSmMWt1htQ+Ok667yLYlJoNFrNFs4m7kyf8apXCrE0IveJv02a6xhamhuFojbnEXJYwertMV8u8fj0auXa7hHXX/MxMXvhj2CWFc5O/+JwS1CKOJDXza+r5ZReCPk2fCY+v2EaEByNrjuc6weZlC5gWMnnZsD+wZq1USqeV1KxzgCEyzKSMkcKjkfhQB22TDNZ2/s3jsAis1Y/Q1yYdJNXbep8E/oi0Tdt+6Z8DmLUpiaiMG0qOHk4w1rrJAmsNAz8BTdwYVdN4OW3QjjVmmS2aAq7RU+w2Zgu1lUMDWQrCG6azxsORWdvVyPUCktaPbcZ0Cl7LIKtU3qJ6702onrgL5f95n06MhDqucgCTru+2b1KCMQUQc29OYU1jGUvsTYQwJzBr9ZpgCLPWgLWJzFpc22J511kiWGvYpv00axEgQ81/ml+FJAgnyJXArLXvNfJrImatZ+1kpAiKnTNr7fZ1zv8SZi1LYNlzpAcwbfzK104hzdqgDMJW9FVzrZFL8Zkt/2CNW1Hg1FHvZm2ayKxFK0p3+7qsaPpHPR4Z9q84sRmbbre5ll8Tfa+E0uJeR2vW9mHWWvJ2GR6m9TjEPbVtS0aJvu/7vo8YtMvlEl7ykpfAQw89RGzan/3Zn4Wf+ImfIA3bW7dumesvXbqU6uLUngKG4fKlFUqYxJijUO5+gwQPkFXKibEeHHmASXY5z2HBep9lLYrSRF1QDuVmvdBUy7Rwe20N7mJgui+4lqvTfCz7ZlnAVAiqM4tYkoxmZwDmpqABri+LmJ6BerdVlZTEzSS/6gnCG1mNlLquNxSm1ReYZhYnbKw+IjDWae7LhG8Y+FUv3eVeo4TWVEKmhojlSifditVXECsrzSszD2ksHDeLvqDpd78mMKJKYjgZ8JQXeYIT/XqAZq0NLHImYQbltrILd+pnA292twvKIDDTlajOmOJ8LABr3UxeupaB6cAwgeWs1z52iPUsDCHHMTLA5O1qzLnamPxFNF1tZm3NzJrIgWOM9RPTkCW2EbZ9gcC0xhUFB0RdkDhV/gSDT/BwpbY1DxN8xpLEuQyZw1TVRBYZ47rjwcxawbenL+FDArEEgnLMNxspBDGzdqBmrbmvxazNkiQfsi4qGLzJRhIzmBmWq7zMDJ63zwfjwCWHuOfsM2HzystnYqpm/cDaURIIz4xpdQ99ryfrzvN9LOjm+aaNcIgmvfa4lbh+5igSs/6PMGsXVhRQhcBpRkm3xCC8rVlrI9UiZi1LiGgasQb/pQcm2A9wLKVPNlheN7OWD1dS8FZul4rKaB3ySW2Dys2ZZtbiy0pnuaYCpnxfwTIIwvGf9VRbTEghYGr8Yj9cWdGLgj2ilwkpjO7YYpsKEoxF2ZeCNneunSJRp6sUzVoGTK2xSySD0Kl3w+ZFCREhWIs9B9uT80fE1sSOw3ZR8lvbSCx/rAgtCNZO1F5541sTd9t8PKbDHx5ykoFT7KvLtQZrxzIZBFoLqEPx3pq1VtL0qSbE7PUg1Zxa25J32H/uz/05+vPVr3416dd2T1s/9VM/tXV9mZqc59SeEjadW3qfRWWS+shCuUdqQ97HOHFJygqG9RN7ApgTuk8tfpCBmUtOXy3mr60XmmKmvJsHmBCKwuVHkBelWBqA9F71rsNk5U600SwdwGxOw3syl0nHeExgfrHepOsuTweyTZOA6VKBtX1lJqx7mbkqMWbO9wemJ3SokyKXUhrd5ZFwq9CxfKRlEBCsFVyv60hgbdZfBoH6xUSDa6HFmsU4RAYLg7Wp/lQ4kzD8qqMhmxR6ZY/tekFstxGCsFvdw8F0ZXANH8fJLoI+1yW1k32lT/KBgessxKwNsnn9TFfcMCATDJm1+OnMsa680fJ8j0VsES5h1tobnQAY7WSbdpOaJYCn6LdeNhtnySHCFjAtqJ9tM8RDGNNI1axFV32YtXigisBEogxCkcis7TIVOVy+EDFVNWiqQZghzFo6/yB2oLyujWZtP2Ytv0n6l7Do3F7ks4X2uq8js0kDlgxCP2at7cRbyC3fue6DODQgMDkWfDd43ZbP7vOjmrUKkEwBprHtKs2szS6fBbh22PGdxZm1Gg/cVJkIrLUP6xCIoX/G+lTm7sPiuo4azVpz9KsTU7nGtVZxiH7MtFyLNS3gL6goEoAyw0iIbfZy++LtMpNLzetN6cM8JlaE4OPLSQxT3pTkPjXaoJFB6MespYSYiTIIziiSRDkcvtdEL+ZDNGtl+7WtEH0BUNxqX5cJ2tx5qB/xLWLWegBTKq994Nz95rzMWk/7ugxxBNZTx7ozWKvHYgb0t8zBZk5O9Mtlx73NpoDpfNp6lvc5lm/2SbrLqYCnLvtMj1GyxMY6f4/WtR7CrCVCTK3B2n6B0qdmWfIO+w1veEMvDaNT+9AyO7Qfgcl5Hl+ucVKwatQfcDKb8ZRFCCeEmg4DMDHUX4F6s7jLpR3KPez0KimJWzEw+ZV5P1hX2YLHBnXznmAtZ/NOATCHAtOGbWpJKqToLrMUSB+wls5CE9imzIYdwiLuk7BupBNOSA4ofOMEPiFPAWs3CqzFEKG+Y4Rh1ookCVi7UrHK08FaVU4GpIkQGkhYRCCD7ucrvYFMGpq4D2DVysoCMAP3dJgE4gQOaLiINAtitRhXi0u1NnctTBsZhOYdprB5KQEX9vmuDIJP8sGMBS7NWvVnaGjCiIAQ0xXrt1nXjd+AP7t82HTOSwSbK9Z/VczaMDjc9bt1PpgAnuL7KViSQPANUjZt/dgus1YqgzBDfyplRVCv07WBbckgCA82SeIBmXrErEXwJwHUQ2pfErO2/c9Mt1EfGYS9Wh3QxNborFNrbmZmLRLJRNqm6g9+e+SOsKu479Zj/Firv+w2s7YlehsCTIcza1GT1C5zuJC2b2gnzdJjzp5g97WVXKz7i5hvDvXXMi1JmrV6sz46vw/Zn/kwKP73e53Pd/tVEDGBxFUNBykSCJRPiN8ryI2YtQksYlXMtu4y+/Sxhx3MWvte6TjBcgklRqnRX6r4d8pFRoBZd30calLGJvZb4XCIfT+FWUtjopJBSNGsxTqshjJrcV5H4k8CWOsMW08kuBhAkKMXBb69ElJCkJpD+037su++kkr2vQ52a5DlKtWsDc3JHsBUlVevAzCJW3dN7GPWJkh0Ge1W3NNg3efs17NO7Pq2ysogsUpOJjQsO7LWkEwzyii6osAkbgWuiSXJxRLZvLYxMK1zZYg0a3mvo99ZEjDd8Y2HX5Oq1IB4/z34qfUEa1/2spel3nJqH4I2Gim9T2RUogbm/CAO1iIghp90NQBwMuHYSYlENDtwAIBpwFrh6p91QVkndIg0QAqAacKPh7JN15bofsRY75X6Q8/64nulBWr54BjTLQBTWFel46snWKLYpdtkPlGs9JTkfAJdq6glJuezgem+usuT2RiWLCFSlKIEdJX+xtS76RG5QZq1QNnlD0XJvkoD1qKlyyBojbmyMmtWXIR59basBDprzT1LAohx4WxkAiqRZu2WDILu7pK60sYakU4CTxtqEZb5BNmmZQ1nuzcZGYTx1iI8qkNG5XRvfBp2SNefH8wUsUNYXsQDLhqmnn5WiMm7FaLv2DhJwExbasIlK+Ey3+I/BTylMidsnO1+Zw4dEhlOM6hpnECWqxQMNMB0nm1Jg0RNt8NI+5Qqw6AcAc8UfWUQWIe1kICfDK7VNVxaL+Hjr1+HCi7B+JlXIj67f1d+8K8i3U3jV//Trovk/XTv0wm84sfcHTIjP6BytJVdR2bW0h60H7N2rZ21vrAEMBFBNvxccHpFYHJPQCXmT2frq04Aa+lgk8LlE0B4PQWZhIAHs+Q6463oUppmwLD++fBP+wp/A/b71pq1Kcxa7POOvuhnD9dBZi0D+tKxCWVdCK5NkItjXyZxXMKtxi+9nETNWp5jdLSBFKxVUSQ874z6adYiQI3MWpSbkMrguMLWE30bsCqB+BGVQYgxazmpGR1y1jAWrO03MbYp34vAHX7cjjWWM9lXTLOW12yjdMDUToiJ8yb6ndgybqbN8zRgumsTy7epqz4Q9WrWbjOKkwgMtm+rv2F/KtaNBFbYdyNd0As0NcxaDdZKiCn6fW80YU60Fvf4ZkJMioTUqfmtP1J0aqcWMc4uLw2rLvV1BAb2NM4un8I2Zb3MvrqbaJWuq1QagIFOZm72sZzrWvYApofUlcP5hACmrTHa1yZzK5Q8lTGdPzgAkxnTuDnqyzbl94oap9KEdaxbzDrGDyJhHeozG93lnsD0tMXAF/oVhnx7DZm1OuGXiJXSkiToccrN/a+qYa6LHPTLfS0DWOrLUhZrtLG1kn4xizJFBsEsiIV+Mz3+2WBfUH7BwaxNCjPzgIu2jqsLjHaBmWZTFwzlC8sEGKaGyeAcTr7l1Y4FOZjZqmsis3bLb8ImFj9ZPOiohd+gvWk2oEuiLAFqn6GtE1ibbZ3E5v2JMrbrchF7H5l6wpBfHDqroWDtpQM4znO4Nt0zkgpes4ilzzo5ovatHr8jqGMHdKpqBeoR0CXdXCnmZFejNHrX8QrqEzyOZL1P9fO1kF5rfNIDAv3BTvLVoagyCJmS7ItBsbZLH8vU8TOL0ZsC/m/7jFCRu0xMZn2KQPjmEQh68txB3615x7I68+UrYXdqxqauvEG8vFwuEg1CzdoyXbO2NZZJQHyL9co601K/3JfG7BMBTZdPV1tbMgipzFrTB3iaSAFrN1b0Fo2JsrGbwT8E5ai6fZi1NDKpvAHS/WGznhgNTjBmCDGRNT0DrPa9xvhe3K8Fvt+JNU/S3CkAiqN6qrT3YuDZvW9zrtciiVIbtimEzcNotvMbbEW5edo8PdHXNoHL67Nxov50kAmSEgx31nHMyg2yXPn95OM0yQePbwRMlU/Juqds7XWSowjZTsHanVtyD9hsNvCa17wGPvETP5GSi507d27rv1M7NRuck4K1Jvx6QJIkEy5f9kgINQDA5PBzKahXttiB/ZO4pQKYDVg7AMDU70daV9Z7ZfC+l0sGMEs5gMl9gPVuBwGYUrDW0l3ua7OOhIjMMTOmB0iIJLIOmDGNi0Cl29xTQoSznyfWtbfu8mSkdEa1nlLyAib1lNvaLOxzIpKQX0vvlDd1fZOaIa0pplnLId82KNmwCIQOHWDmFoBp+3Qwa1NlELr+lE/wJBjzg5lGszaYYGwbjHayXLkdo5ucSF1N+GVABoHfa7HNjBZJA9iWolk7xvA2nUyuJ9MoNeHXRKMi+A1Ksws7k9rgjxLY9Dyvi8ObUZJChzaLZ4DOoxGs/S9XH4W7k6mAIchh6zUcj/NGA/Z4JfdZK9BVJSwSMmtHShZkiyEbAVxxrCl+771QvetG8yj951qSUK0rDdBi0nZ81y6KatYa11KSfXGaLQlW6wPZeHyS9idT1+7jU2QQNPCawnAiHDKzmLWOQmAZqjvHXrY6vxope5mvI5/2e5WubyuWfMjk79Vm1lLiSn6Wx+eWDEIbTJeyXPn9j+11osunqxp6vUSys8hytZirMTN9gMfilKg8ve5iYooYmLZALhWFkx79yId1FTLEha+2ARJtZm0uAkyNX7wX5znug5F1LrcJVnObWWvtQwJ1V8x/XrNVSQnGvGtTZreGooNcMggBzVo8SGLgNKpuF3jnW7IPEVYvJzUTr4kda0Uni9g2h+xFL0mCzuGALH/EtmZtLxkEXXZMzBr1yabLueJDzYGEGJRgkB50337iHvzJW34P3veb7+7n8yluySjGK1/5SviJn/gJ+KIv+iJ40YteBNOpRDr+1D4UjTPTi/U+dxDKnc9UwiKUJBDfo6/tyw5Eq8d5EtuUgekhYC2GnheJdWVgdxBYq98P66TGDN9/PkBjFG02m8CC/lZDsalggpkvHoC8hQEVpMC0vm4IMI3J+IyEyKqE2Z6gnBy2O+C9jhIX0Q0IPyAhoG4rZBEXK1kStzoSmhU1rVmLixhe+AX9FRjyXVPoH1pqExuma1ERWHsTN5OBBQz3NWSB9l6s8SKrLGE2m4YBAjtOdTyijV9yyJeDWdsK09/S5PVr1iYlNdsCax0bDvs6p2atYMMRATNnHb/2O4yF6IcOTsIyCOpP1KJs/PVj1sbA6JZfzsyNjxIs5k14cyvRS8Osleic8hxdYGKbsoZ9gW4tf2Pkt6WrXMbL3QH3pcAE+mTgUx4i3wXXFKiHZ2HkdxKSQVB/IDaF8KmJHr99DHBmHnC5DToxqCcJl8cDL4OHEenSKkjIVHat9rN0W0mBrnc//SE4/yfX4c7Tr8KFEAPTlWCsw6yVgqaoM1hoMFkkmewCggyzthYDmF7N2oQEYwTqIQNT0r76VrwUe0RrruMXpZ9fPXYbqvfeguzsHPI//WFOkBhtVcrmkGacaAPDxW//MYw/6lEYXXAo33YerdimGX3iIv1krRZEf8VxolQJPb39uPXjRgbBMCETmbUEhmiX3eRLUmYt5QmrZOsSww7na3tIqNWTxDGxO+f0YNaOWCuXkj0CzATpIJxrGLt9sT4ROTh8P3iob8Dw2Pyq5w1kUG71PXxvY044FfaNbYXcBWIvC8gJZg0TWjvhe0MQMoVZG1hr2/NEFKwNRAo5E5sFDtidjGkRq9dK6h0DTTttbq+Jk1iuDhkEtGCuDIcMQhKb1/jO22CthAlvcmX0jCK0fBMhpqpgITxsWx+vYO94AQv61vb7+X0KWzI69eY3vxle+9rXEmh7aqcWMmalYEKgBwfWjjVYW4lDqk0o9w4ATCmoZ1ipA8HaRaLeJ7OIEdTua0bvlk8fI8Z6rwze97ExZiBHxhJOmsuNSCN1F4zpVAATpTzGA+tKz9FgrZSVvgtgmgF8qQbyLuQtjBTIRn6ow+Ub9UxWR5q1erODwH/UKHRaJRrCRAq4CEk1SohVVLBnmLUhf80iNYVt2jILfJseeABMNj7sIS3fNpAsXawhKFl3Q818SRxIEHF785MU3uYBF81iuJNdmK/rgpn2IjwM1kZYKd26Wuxol/H798sgxGUC7HtLzNJt35fKwLGYvDGQA98rhqxTyQRzTgNMWz80TFcN/sTeeamTfeFmvahhXzB9bekCY9vgvJuwacl6MGsR8EwambqPrioC9ZZQxxmCVkIolHUxkep3TwA+/LLQp04wxqCeZBjG8YyL0HpUpLwuDFP/KdX7vD3bg9+6+jR4wflpG8WkfuQpC3+P+lDRq20dALnwvVqqDds+YjZqklNKNVWrHpq1XZYlnxtI+zAdN+BnmXXmnSaLnCrC9Xvq+kNUk962UaK8xcrHrGUfLrC2g9aqpFuoganOBKIYhyWDMGJUuxQmUbNyf/GaQMwi5rFppPskAioJ0g30B/6f0cqtRfMm94FsgAyCkUoSMua25nUbwJJqXG8KpZWbkNjMCXQlAKatKBK6F4H1fprwxnA+Yd8hv1jmFeY2oc6ofhgoKzNEZ6G1eERaya1Z69+ncvti0qzoAZYDMDV+9Ry7BSZ6gGIRMG2b43DAySK2rcNmpgPxeoAMQgqz1tLq3UWCMSJzUUqJ9po45HvZMz9HNy8Ifjt3hd9rk7No2N75qWrJu90zZ87Ac57znPtTmlN7apmeXKTJmXiAHKIxyiAeAl2VIFze1sm09TOTjTUUpcmZeJcwpK6WuNdqUcgSQlXDEkK1w+WrJGCawfve4fJ6MaEWMHFjwJ7lIvqYYapKwVrWIh5QV7qf9Z41e1Uq+TCe9gfhGdQWg7VGd3nY5Mrscikr3bCIB0gvcMZ10WYFmbU6Q2r/7KiqP8y1oqUs2dfYn1k4QSbABk1d4ZK1Bqz5Hl4g4ueGGWxF5gAXvQtTvgZ/bS0G+VxCJoPgZrra9zIOT3X2hDFiUXh/HdKsjYXtb7FDzILbo1lr6zO6TCATQMwF/X7K9Y40a/HXkcU13otsDdpnSzRrXT7x7/xPIXiKl29G8nBuw9TT306K9EKXqSwN5aNvTGNN+lwmbt1vcjaxvh35I5ABxp9rHRtLHcxa1qwVAU7jkQIvu0zT2K2OZzegHshBPWSpjiNaqnYVOeGfdpaaYAzfK4KADacxYk5G5MgcCMmZtRpc6/oMrW07j+ZEVIrUHPfLVxCz1v68TTvrPztzwzZInAiIhw6whGsSgpP17RJAnLq+DdZynQTMWqovvx/D1IY0YBrraqIoHDc73hf7QuP5WX7ooJ6n8wf1SjDG+zpRdnmLbWqYkGaOsublmOFhJEq0EFgr1cr1zHUJzN5G8kdGIoqCa0LyB99vElZjVFdgLSZiYHp0Y70AJslj+eUf0iKh/L7960T3Hjk56ssh72b7dEqIdEBqbhP83pLwy47vqPwCXduA1IM0a7XvsVXv6NpJE1M4sXEvRi/5zmkspgRjwrWTIXWdgrVOS+4Br3rVq+CHf/iHoUzJyn5qH5qWGEJuwNoBTMipJWXQaGoKNEZHw0K5U/U+DXNnAJvXBjAZOAuZrX863QWAKQWmA7pHKVbpFaakrgRMG7A2HwxgjopExvRAALNJ4pYGTI9nw5m1nHAvZly2ISC8uj9NLqUBpodITWgpD0Efxk0UhRpmo2QJBGPa35wzswo0q5QMAgyTQdhUZlHLbCOfP76nF5vXwXT1ssisRbh9yp+U1MzDdKXFNCdx6yb7ovtGbo25Nm6czHTlMpts2wwOeRaesTb2gdHbftWflUMD2J38BNx+ic0G4o2kCg2VHTa6GNOK6SqfM7FfIThNzFox+NMBxFOSmnUOhJI0a7ehtbAx4HPlLOQf9wxaS4g1VRmcxeppKQOylEScGqxVoJ6srvj+eO2Rxqx1gE/6T6kMAo+JfFDRaD90wdracUCkrjWJvoR6n3hdiWBt58XWKQxii1krTzDWKrb1/FosdEsgPAPipYAxrW/H19uKIum0c0xiwCQ2q9OARFS4aoHwoT1EtwgjnKPlLFeaIkx9G7DWqwncOuRoqLXmwEHMrIWmrrwudq1rXY+zQLuc51iBXxVFov6ejfX1uB4RA6ZFa0yUH5p1xn9K2sjrE/l+iWQQRk1oeNyvB+hKSqap5jpqXok+O0vv+NYwQqCYy2zIGljmwPcmYmBGmbXtNUyrjI66b7h9Jeu1SQ+w1hNpmywNwN+XzazV7YuHYc7lQGfPardvVFrFpVPMzNoYo7fle6BmrX5nSL5B9rNdD7/vgvo6HopgPc0c28M3MWtJs1aYJJvHvwHRoU9lS0Yxvv7rvx4ee+wxeO5znwuf8RmfARcuXGj9Hl/wD/3QD+2yjKf2QWqpAOYukl+NRrbeZwHz/bCmMutkDtEYbYXaCyUfDDA9EMDEDROGOWwEACbqn6JV2UgkmeAzDrWXApiGpTRwEKbwiLWSGoiZCm/XE91AsLa2JBWiZTQ7yV2xTaVgbTmYMY3SGOsEDWSjuzzw2+FFhUkwGDEuH76bSkY83jLecGDiCASxggxS0tVUepl9w4JYJmCm+2QQELH0XJNZBGwWi1Anb6Y6IICZTzORPmdKXV3gogEwOwtTI0nQ2UQlJTXjSAbHQhDb6qSqqY3P4g/MAcq2jpwNmgbX4JFNVpNMza/J2/Ib23CwPwT/MLzd0z+x3McYuBxh8nYX6t0p1oCnApkA3Igis5aCQyUyCJ4NLL5/LDe+w0y8WVeatTFz6i6nJDUzB8djCkdN0WdEYExLk8qMsbVZDtnetKWpGh3+dafFDRa+E8ZAIBby2AV3tIQCSg0xgBnblBY07hft7yYGfDpAJeWnTgf1xh7GpykLOGQQ2sxa1sqNjTnMrN36uiTh8mwYmSEF4TvKDltvQpJgDOtK/TZTrFHtdy/wteEa7eTZj8D/eLLwa0KajFzdn7f/yXdLDzr4EMZ8rzxppYB6GhBHnxK/ps8hNqw0FHTiPAlY2/x7lMqstedY3RmdbPiAZi3aOMEvuuRukyNYax/OSZh7G2tMXMijDZzrCVx/4YcnJbeQDIICkSZDZBBac3l8vYmgHiY3I2kQwV4tyoQ0e+Kwb54rORG1NLFZcM0W2Y/zd6cOdWsY2+xSx1xg1jCSdWKAUczjTGudaLN67cRskjYWgNQkFU1yKbhOqGDS3cN0ZBB6g6ZbzFoBaGq1OwOd/TRr7eg6tayjb2IWuAeJKVDTOisZmO74xvYd1RUUUpyACQcDMZGnqiW3yhvf+Eb4wR/8QXqJb3nLW7YSjJ2Ctadm+oI5TZOdrIyKHSS/0gCm0vuMDxIIhmWsmznAGHTlEG257uZAAJMmmY0IwDQs4oF1NeHy0hN5Mwjvim0qZxHj5jMfwPxECYVNAtsUdjXhMIApqGtbd7m/XwR6CazFxSlt/EcPBJhOZeAbxvR0DJveYK2qG7LRcOG0FwRrcQGjmLXJoGmnjlMtgxDa6BgAEmUQdGxwclIzCzzl7MK4GMa6HngXSW0tul5Zb1syCBAJb3ODtRK/tsxD1/D+k00D1pn6BZKLxXzyvb7M5y0ZhBaTd9xf244Ny+/5rvl+A4AHvsUtDVeXrjKBp2pOlISGYqKpmHlZxEL2sLpGAbrIrJUApzbIyW3U6CoLkgryGIPtuUrXrEWP4q/HgF/NHRx+LgP1VFKzvO6A3q6ERdY9Latqpfepi1NE8pqhFXod0eoBEbDWxWIdJTJrDajXYtZaOtiusnQoquNMMfCxiRD8jY3r6r3K5DWVb8fPRigrkMqs1WBgF/yXgLVUQeWoYVbFfZ6c3Yebd9ZwceTRR2acb5vu67pcrEXMILyRXrDen/+ApVMGnOtMEjeBT2aacoETZBAUs7bux6zlCIdRBpkmBMiZtaM2sxZzUAn8moh6lG3lwzn8AHDdJclhYUc+LgYwa1XBAZA1KiW3bNQ6BtdgEr8INmJSwC2/aAkkIlvyByPIYp9/fF6XMmv1IRy3T+RQtAH1Rr1lEFADls9HaE3ckb3Y8tlHBsHR5qw969TKHbhObPm2nklr4jyDJa4TixoObBiLQtC6MgiC9g36LtLB2glq1q5a9/XyXdcwH6lD/aiEyEZHEQ4gpjTECEhKRJ7tiNT1VLXknf23fuu3wktf+lL4F//iX8C5c+fuT6lO7SlhDagnm5BN8qsBupvMkp1sClF2eQT+8h3opJjkTEJWIoO1Q0L0W0ncBANiqUNqhmqMjme5TuJWPlBgmqUFJKHru5K3wPeDrZaXMgBzV8A0L6w4vPlByFvgvcfWM2ea5eWzhs03rK5GCkTwXlGHGg9iyC3GEHKB+4bpVBUBMXuBIQeBMAqXGmVwZqBm7bSWMGubkPb1yTBmLQNTxDYqPGyjDgvUm4RKxHQte2f5TZJfCIS0NyzXOujPvib62VibDRfr0DDmCKzVbYAbcc8hQIwxTc9nNAnL7/kU6X5C15Adpe+JbNb9enoj2oRHmbW2DIJgLolqB0rA00JpFpJmrYDRxX0Ju4lhzaeAw3osyjVyRHqfMQa+7k+sWZvKrLWRAO+34+gneCCJLwMPnlrFw3b1jc1bLFTFrDUAG+beiUx169FYsT4tnxhVnaXKIOgblqmgHlfNB7BFWIkNAx/g7ESQYMxo1to+PDe4fI+Vzm4qsxZtCxYNgeI2s5ZdM/gvYZv6xibzvO3DBfvHbPwJyEH4zjhhP08sg9C0sQTUw/eQcdU4wRiaSAahKWPDrK3T+7DeJ7l1ph3PszFPfcIiYdY2YLiOIqFkV1USYEo+dXlFCYt8QFdi3gvWrKXICsE97SgSH7NWBtYis5b3lbmUzeudY2VAsTmEFayx7SiSITII6lBftS/+txcBinuBtY42d851tl5tNxoqWQbBzaTGci83jm/Wbp+ODFJ/Zm1bt9nbh3kttwvNWpIbUWuDJrFxLQNrUfKt714HjTZXOcCyFO3X6RY7mkm8ePrQseQecOvWLfiar/maU6D21OShxsIJmZNfIWNuiHFYtgzAVNcMBWsZdJUCmMzUNPqvA+sqCSHnug5lEXOofSpYy/IJ/R0z27R8YMmvGgmFWksrxBzvBpg2zEFBXTdamxkXk0OAaZTGoI2/JZnxIOpq7i/kIDzadACLGNsXa6rA2sjFO2DW8vtEf1LN2jpvkv2kLhINE7QTfuXM4NxJ5NBnYdowXV2atXWQySve6Dj8uRhXW4t/D5OXrtHFjS5M+V58pIOdYBgTCNYFwOEUYLr7Dl2Gfse1kkqI+Wza13PBWCYTgPfnmB2Z5p/4u/Jt6iT1c2kWSgARL5vLI52x7c9i1mqT+VWJmZK+1iCzNn47v/qJi1nr9el6SAZjIUhM12jNBaqtwfF6yCCAvK627vI0olnrLImrjYWgHjGmhS/W2QzIVkoE9byatUFmrb7HZmAajd64X17mdBMuGlDOW6ju9erlypm16k88g3VKEQkSBhN72ei4DmHWCm62mbUWc1migWwOzjSzlswFargeReXsaNYmgPDmvSZohtvX5TovCNaT9cj7jsVJzFotgyCLrKgttqiHWSsAkfC9zvVLQBksqV/vekLom8G5mtsnsMYOAtMt34F+Zopnjf8ezdjGbwKQ6AFMvTqunjwnYmDa5bvTz/1auUWzHuL90FCwFvfKVd1uX5dRm/KE3ugz9wJOrbwAe5lObBw76Oa9zlBmbeKhCBXXkrc7tW1L3tm/+MUvht/4jd9Ive3UPgSNQT2J3meFCUT0AmliJQkbwjaVAJjSMBM5WJsGTA8JW1cPkLNNDTA9EFzjMmPoPYbgS4FpZOQOMSMtIPC5K2AaJRQYwLQZrN4y6vcwVMojRe+Z9YqRRTzUlA5hGxT1X6xBt4F9uJEQEbCINTBNutRD3i2GtOFahgTwYwuY4Zq1DPYxWBvaXDGYhOA77/uSWK7kaJtZCx6WU1cmoJdOrkuz1gIwW+bQV8VFuAEwRQnGGn/dzfFWsi+WCAgyayM+7UzhLp1c3nAgiMnhXCH9WAkwLWAfkX4sslwFWdKibF6mUgrAWgQG0RA8jRkPJdsyCAnsKi2DsEFNVQkw4WjfkHRG1+wDBSnLla+pEjVr6wHMWrpf/4nMWvshPsmOtlP9Tw3AMagnYX4u9XxD0yN/G30SjDGbV9ANzDUo9TnqhuenM2vRpOHySrO2yyb1UmudvhuAIO4Tozl8zFpIZNbmJgt53K84wsF6PrV9p0zoEb/aFL3n4JjoGic6PokdmADCM3itgGWmxPvbt9XHrL+TrEAoiWfXr63PHmLW+sBa3SMM+CP4Xs3BJJ87JoCW6rrCgCkcYZACnG5p1iYCxaxZLvLZYTK2LNH3HORzXVwGIQ6Y0v16PcH7CQlYi2N3MPJDMP+15ZwiYG0KkBhocydo6mEU42vlb1DMNrV9W98s942tBFiOeveSBuuWn7RjI98N1xvnVkufv/e+Q9dhT9c7+O0QpbakeUeBtQOlITnauChEB1hjPgwauHd+qlryLvurv/qr4ZWvfCWcnJzA537u524lGEP7hE/4hF2V79Q+iA31PlXCoioxlHsogJmLtU13FcqNwDSqyyDgTKHaAeAMGQImIdRAYNqwhQSr8GpHdbVD7fG97UWe18hbjKEgAYX7D2Cihi8FUwwN0R+NSOM3L0oRgGmA6YETTgqAiUzjbAfAND0LwdqiMJIZMsZ0vpODDkldWYd6MDCdKwF8BE9ji38EbioODRqoWUuHNKNIcg7dDqjPiYbr72S3HfDUl+yrRaUyCcagt2atzVpkAHPVCZesHYthO/lJUlhdzVl4sn7MWqlmLSH7+OJK/byJO2wR9ziaBRRkuUraWLC5Uvqx2L4s7eF/XhQMF4KnI2xuZPPiMwGZR2FrNhxdf3JZApyn8XuVJhhzAtMB6Ywts9jRk7E6SIiyUnRdkbOvktknorU269Mw5uK3I4iIZvbpeC/WPwGsZSZhirbpiscn+h+tj9qDWYv3Y/S5DDRt2IGmrxtWb+diJ7t1m1krAv91grHemrW6vDP8eBLANe5DrCdsLHQ//67FrMVBVgbCG1DPJ4PgSjDmTBzXfEoIAOD36zNiaXYZ0y6wsHswXLsTjNn1CBlJYHAfJsaqZjRKZBCsf4/sJJ5lMM+j8mtLEjCAt1agRmsM931PWmeFQXiRDMIWszZBFgbN2j9g31hUDcsx6NcF6iWy7ijBmB7/M8E4HJzXDWAqY/XO9DtACZ643wjbVHhgaMpt1i7+NbYYNBW0eYvl6mG3DtasJdFre67jgyTrg+UEbN3oK45IxVwko36AKdfHz6zd3ic30mCJ+w6Ss0JtaLVunOr3SBFYLgkRi0nNid7ssiYb1XVl2OFBzVrN6iXN4h0wa0nbWhNUsP1iJIyxReqK5N/7kLTkXfaLXvQi+vM1r3kN/Wd3Nu58pTA8+tSe2obaswzWxvQ+bXbgkFDuFnAgWQgwC2oguGaHZCP7b77v1/tcWyurocB0Sgj5zjRGCcAcE+CMIfh7B/70kvjeUaAfbTKbQLHCHjGwrhJtUz3pDQVr6Vl0ol4aaYVgGU0ox+QBApgFQUc7qateOEkkRAxYOxSYno5pKSFJ4lasNwqYHtqHdbIIZCUGWa64csHxS4cGJTNcLX9o9C2MIpsrDRStterfrEdW1kYmgJm16ueuzZUBTztZeVPkj+2EZltJMjTbyDSdg+nKPknqSjL847OZvdjJZr0FdDHw5mCIpCY1w0MxbNPu1YrVoiUAV6WSmPUs7Im5wBntA/2JE2KFwvYpAUqNmsphJm9KUrOoLIFmOaFP1UfD5tNA7vbR4Deok54hu10Kmm75DEhnbJn1TczyCo7WQgCzqGGPcSwhVssX2t+4ARIF4NoW+5ISAG2CYO3WUzUgQcwsBJwEfk+ysYNZG7nJ8XvqS5AJ5Qi2AT3S7bXq0PhyAYguQFwGYFKCseiVHt96TWsAAs0QkxyuOJ0GQHHDYrK+cwLhyzRmbVcGoXGg/7TLjvNa7Qbh1TMB9gJLXQRqTRSJT2aZD8FaP+w4TWXW6mvocGWUNY+TJBjDa6y2wHkL2xe/2YNAT1Gh3FZdSZdTPxvXti1A2vXB6MZF3InndUmCsarTvimAaUdLk8Ba1PsUAacOALMHsxbvxgPz4CGUZK5L1MudcVJYfTgVMrN2isoghPcSJilmYO2SLEcgaPMWcJqiWRvrBhM3YBqVQejmNbCAafGaWLNUaYzaJIC1VpmbNu6x/sfn4L5wU8B0pnAByoFROV6rVW97bBpKElF9uJFVcJr2jYeSFUq+DdGs1YQj2mMZsNZ/bV2WkFmR1aujQa6fkpaMFL3tbW8L/v6d73znkPKc2lPIpvMcTuhvNWw2JUydYlQN4LQLjdE2A/PBaYyO8pEKza4qYmCGwFoGpjG8HnVCh5gJQReBtbuRfGBQncDaCIBZqLgV+vtkOoaFSm45LInbAwSm0Spi1MkATD4dZAmQIXWVApjMmN4FWMuhcSl1HQrWoqwGHeoIdOKwXPkuWMQTTjAWYYdgHXWEJ8kg9HVrM2tpaKq9bCMGk9TmAE/jeyyaOjIBwSy0HQ3ZqO6a05/uA8jyxKQtI7V5NWyjooZ8mnllEBrWj2wRrpiuY/UsHGOs8yIDTOuFqQlpd/QZL+vTWccwE4nZRvztuGQXtjXmYFjYYq7Y4bUkY3QErHXpDjsNwepMM78jlwY15qTMLrxfk3Hwm+gbetvIPEgSmjUHCrNxLQZ/UNtuzgxMKVjruK5hh8tvN0TTSQ51BKzdZtbWjQZmIfO71IAUBWWP1cFCLxkEi1kbAzCb92r90CfBEJNBMDqu4SIbvyiD0C2ar74Oxqfy2fwe/YYOxPgdOKecVGYtvtdNGrN2SwahKxFg1935baCaccMk3gsAmAw2BqNInJqutZ9ZK9Qi5pJi/Wi+wh8kMmvxRvSLPmN+W1EkPN/h3EtIb4c97GzWDLL5FOpyBeMZHtOXiSB8lq5ZS+sgXRgcEzVVO5pdPqpZK2f10vg/GkOdwuZ1MmvT9HJNngEBWGtr5bofJmtzZnAS+YMB/YjPKKBn17vDbmWbpmjWcuI4PWf0AUxtn7gmNkk8PRIMyXq1bPgcPK2wyQQukJgK4mfW9gJNrb6OrxXX/Lj2x29n0sU7TL1z076TMUq29WXWarA2IVcGklLUrdkO9lgqQV9sTGznIjmVQXBZMqLwmZ/5mVs/u3HjBvz0T/80/Ot//a/hv//3/w5f9VVflfrYU3sKGibnQEAStU2RgTmlhYUfrMWhAUPOdwbWChYCLGrNYedDDMuOYC2HascGJmSnDjUOQZcAmNweQ5OaATMbN5uo1ISRt8CwFRFlzm8sPC4BMA1Yu6u6krRCWBoA9XtHWstxkkJLdBhm3N1I9Z53CMLzM6oEFvFkPoxFjPcrBn4ZZeBzuQbLW+Qj2gQjK3ERXMBo/Vh94tz7tJmTLVp9l1h4k8zBItS6tnqB1iupmS0TgKfaY7kMglizsOXPemc4Fk1znV04I5+4WDvY0si1mLU9AGICiDB7rWZd+jRr7ZD2rvFCXVTXCBNUsY1qKB1gtG08JE5GCP4E/PL9gXkMhxkCa7EakW8iqs8rBE9JkgC1KDHCIrIIt0GE3pq13F9GyPhAQCR8uXdzxfNtrH6aTd+wyAoRWMu6y9jPsX1MdP5iDeUfPgGjp12C0eUzrhvVn1Zf4OlDAq5x72+YtQIGcfex2g/2SanfhaZNjlI0a10yCASQKVYjdtHOkOgE9Vp9qZv4is1VlBYDPy3BGLmKXulxrue0scXAx7qExh38PQHh+pKj5z0El8YTqP/fk5EEYwzWNs/m95qkWdsdvkJgLTFr/UzmWJi+SbhFOX3cbeLszw5QnMFIqRaxvq1NBZaA8KTTq/+eKfD/EOqo9jLX1Y4iQdIFRW2s1T6oceFqU4Dx859GnWi6oV1TmrwF1bPJ7SECTLntyXkTIh0DYaqqSULWWjuZZFcCwBQ/FlwXas3aShRZoYHEHWjWTjFyxZJ9CVlU718IUnP70poYD71DzFqpDAI/g+c3x3rBSFcVcc3alp5q0Q8w5fv5UB/bbw8/Rg/Zpjdois/B/ZvV7swi5r5izCH/MCjRl9XfaE2cZ7Dc1PTMgy6nywLIB+vVonFiY70vDX6v+ltksHY23oXUnPIdywvCuUhQF3q8AwzoqWi9WwU1a3/yJ38SvvALvxCe/vSnw9d//dfDcrmE1772tbst4al9UBuDrzG9T5P8ahcAJifAEgBdHGYylB1os4IxVDtkJetu7mBQSmGbUijGDljEaDWHy0dW4cyYLnYgb9GAtfLF5WgXAOZYlsRtl/IWnHEXQ0hiWZB3ySKWZkwn3WXWORyYYKytgVw+EN1lpe+p9ZQE+rHMqui7cDKszgJP0wMbZ9x06Y3XaohPXCUZ0cCGnRuSQdhi1ib4pQ22VcdgqLEjtK8JC02oqyeCIkWzNmVB7JJ6cPltwNpI+GDkszEyAWVcBoEYiREZhCggbuSD4uApbZyzuH4s1xW7Rjf5CZc3JktgErbh+86E4fKu/mT8xZnD9j38jI2QMVd3mLXFHzwO9fEayv/3hKeC+k+rqAw44atn3TqfcWnpFvzsTQbqBGat/mdwbOrYkR6f6A6e26t+zFpMyibxa96r3ZcMKh73ZYO1acxa7WqLWeu5ofNzPGhgM2CisK6meijdw99oMMHYtk8eGkRauQYv6DJr9Z/8DKvdvGNUJvNrQPiQLqiEWUsM17QEYzemM6UscPV8A3BLmLV2UjU6mNTPjI2J5mDEAqZ5rhAlKM5oLY0MemlfsstlooPM/ClA2uw5TR/C2s+M+VTubLA2gVnL65Msg0InmIwlLNpIZBCErF6WceNIgqDucggktn3jMwPrei43shJrYYKx6BoGxz7ub566T1zMWs86xrSxFMD0ANX4XpvDJP1eDdkm97B5E/eS5nBgW6Zra153gNSDmLUd38FvxyLeBPuw2PfY9CPyGVr76EFkpeWNegHTHd+Z0aytRDjBLjCRp6oltQxq0f7iL/4i/PW//tfh4Ycfhq/4iq+A3/3d34WiKOCNb3wj/PZv/zaBtvfbfuEXfgE+7uM+DubzOXzkR34k/NiP/Vj0nne96100KHT/e+ELX3jfy/uhbMweLSKridJojA7/WBmMlACYRmN0aFIzC6yNhZBz8qZdANOsbSpJ4jYywPTwujKz0bA6H4C8BSdjy1PA2h3UlSe8mAayYUzvAJg2YC9qG8XAhR3pLtMzTF2FjOkO2NrHUAoEAQ60mKyGeQdDDxxw46sTjAU1a1k/dgjLFc0CUOYhTT2uXwaw1CyfPos1FVrZgKeGWdvxyXqgg5m1rb7TfCfOkFTHJqAXi8CTMKpbVxPSHtCsTWHW+pigXbDWB56K21eQEAufgQvxSvBNxABxU97I+ErakZyZO8KYCNZVKlfUkSraCDbrtradFGzf6p86/LDFNhL4JMDU/gVKEqQmGBvZQFf4dv41cXkJFU8BftrGQ0aMqVfWNRxnOfzBmXOQffjlJnY98l7c762RPon5ZaCrNdV1GZ+Ns21P1jc5S9L7TGTWdn3bILEQTLSlAYzFwETbt7UGwVBaiU/br59Z2/HD5Qkya2PjBPjHf/6ZUAYhhVmLfn/z4lW4+dHPhAylyxLA2pZrzaylZ0b8Ouccn1/n52KNEyl9uCshkiJF0AGwvCHkAVmAVhTJNIFZaw7rcqo7jiGxKWMlkUGIAKZ8DYO1JxFmrQKRIaILbw1cgXlohDJSlDw0HjXTAImRPQetCcPtzmxKAteskHxnFIlp41FvwJSNwW0DJnqiBX3691FzSH5453WHb7EusECnWCJJRszamP6xxHQduA8Hx2F9aLPq6KvvhBATO+hmnGAXhKOnqImQjP/6X/8rSRy86U1vIsmDy5cvw9/4G38D/tpf+2vwZ/7Mn6F/P/LII/e/tADw67/+6/CX//Jfhle84hXwj//xP4a3vvWt8NVf/dVw9uxZeOlLXxq9//u+7/vgsz7rs8y/8b5Tu3/GgCSDdj4zYdc7kCNAvdBKyMA0GqM7ALoYaI6FkONmfrwjjVEEa0thXZlpvAuw1oTLRxZ6CFyPdqExqrVNl1iPuibJgZDeLwP1u2AR0yJRANYWWiZhF8B0jn1JxwYhMIp19zveZV1lC3hMooSGQvRDdZfRivEYJkVBcilwXsCyGyyDMKZ+SSE6ER0nXCxTYoshCxgLJNjLKjjEMPLIYq0X29SZEKuEme6TW4s1rcmrfI4Ghpptg2ENcOpi8jo0a8eJ9XMwM81imBfhDg2yxm/7nqBFElTxMwxzU5KYQ+AvnBDE3tANTTDG336ceUrJXjAkVcisCm2ao4lAdXuOrP6C/Umf3UX8+nSV/XIrjUxH+5sXs4j1XJfF8RMvWEvhkjphEfrdC2zYuPVMoi/tP8TI9oGqE940C+Ut/vDMefiMp8+h/KNr6rExFMUHKglBPfO9tpi1PrDW8QDrm+RnxEL0iTGnqzVUs7bxGw+Xx3eAAkMtl766xmQQjDRM2Ke6xvPNmn+6NGsrL+ik6hL22chbND8bf+QjUN0+hmxvCtV7bpIW+pZtEWsbhqsYmMZ7+CYjqSFAemv70Ejut0mS1yq4euQWWOt4lvVaGCAmbK2qVSI5iQyCvf9ISMTcJGeyQL2AeYHEFHarBrlwbYrRGRhpsKIIJQGA6Ro37XkZ/QdyqaCGMHcJPjyP+VRSJ55rWWsf5xhKJueXEMP3pJKHZjAWJRgTrGFIG7ktB9DyaYPwDFo6fJMyhe6b6Bf3ZVELrGe2AEwfszamCewzR2I3L2jqYtYOkkFog9SsR4x9eMssMooYhA/61mAt7v1pPREYm7Tv5dC9juXbEGIihzoop6hwglOw1mci1ObTP/3TqdER5PzGb/xG+LzP+zzIc3Xr3bt34UHa93zP98CnfMqnwI/8yI/Qv7FMf/RHfwTf+Z3fKQJrn/e8552yaR+gUXImAQNzl6Hc+WysNTAFodz6mjwwae4awKxY8mEHLGIE8TBnF4akx/Q+Uf+IirkLAW9m0UVZxHoQ3sF77YbL7wWeySxi7AtDTcrIQmB6Z7rLoxFJR+AkWyCAGThTaoDp4SC8AXwj4P+uw1Zoki6KqAZyNxnWMGatOnEOLSQQfMBANHwXuP7u+8kamYCygn1CcZSW65Y/jQogENlktO/n0wZPp3uehSmPVZjoBDVIKckD9DvRdzBrea1tkn1Zmrwt5kIfFoHnu2wyrjNYW/llECwGDs4ZonHAA2Zy2Zt3OIxZa2QCNvEEYyBY6DZ+Y7ILceYpyyDENGtDDKcmEahKgufVqmSt9ckY8jojUAL78TzQV5zstZaucuVPd9/pn9KQ35VjI9mSsPFpezd4T8sQ1KOERQL8k3BaZgNbciT1yRqqW0cwevRCO8GepyomDDbGXONQbq0xin21lrB5PSAjv3qp31Yf9mrW1iLN2njYuiUtEC6e37ed2EzoF0G9A8ISBQxMl2+rrnzOEWNgUkJAHv+7gFOUWbv9PL4lyph2gPCjS2fov+pJvcd0grXb7czfPH7GviSeXrkUvX72MvdbMgj2QYslbzGEWSs5cLBus5N4ot/Q+sROMEbVlkYa2NckjokmbL07VvNaFcdHHDNC60hLBoeTeMYPkwJMSBswxf8CuVTUXIf67M3hud+nbF5vgbUB00s2nTzUvwhMYmBGmLXNQbfNrN1eMLDOK7aNeE3sAEz9YK0bKE7KMeDybScYY4lGn2Yt5yqpkMndk8Bg+9Z7m7AMQnMokgTC+0z3G5KsQ7C2qP1rLV0+lvvwSnlIbZLTk6Z1CYcxZq0mdXGC61PbNtHb+JiP+Rh6wf/5P/9n+KEf+iFi2R4eHsKDttVqBW9729vgS77kS1o//7Iv+zJ4xzveQVIHp/YBZkIAkzdIg0EYC3hFIDak97mhMulBOETTkZqeCMXA9A7qamuj2qHpQRbxDiQf7I22BJjeBQhPYJIGJDbLjUzeYjIchDdSCgKwFnbEmG5rIIffKyetGu8AmFbZhRHsjoC1WspjVyehzLyOgbU7A6Z1iA4uJooQk9Bi1qpECP0XTgy+7WnKXZxZ25NFwKbfDQLOzSK8fYlhwunv2WYFpeYDdI0JW/ILLT3QbRmEtKRmDA53ZBDyNtvIldCsYcwxY0LuzzcOmEV1JDFHMFO105+/f+IjMAGKnRjCZ1G/FhgdkhmghG5ZRv5iTD1nQqgt/T4rPXoEKDAh5D3kF+jblQAUHY1jn4RI1/h7zY0kAO58mg/OqynsYNaiSZl6JsEYjmcWsxY/gPJ9N6F67y2obx+7fXaMmXlShqsB9CyfQfP4bRiYPZi1+u9bfdYFHlpjgHmvQukFknxMSDHWMuvbNEztKICpft/qNRGwltqgJWLclkFAQC/0beNn1YRyd37J7E99QYsFSu99+7kMlEb1eXkcdn0ioeR1ThmE5p9SRq8h1kZlEDq+ed8ybsYmEfjf6cN+v2G0Vul9SmU12K+D8RdLDNgBz1JlELbmHOqPmUwKwQrHT9XKjUeRxA4mFdkEk2lGWcTiRF8yCYiDTB/CItMxxJhOWSdGGM3cXq39umM/Y+upitfEgT1jwzbtMGs763wDYKYCiY73bRLRdvtwZ/1m97VhmrUJMgi5zawdANbqOjBRCw+vvMtJTNZbAyx2xazlBGMCzVoju3cqg+A10Y737W9/O/ze7/0e/Kt/9a/gp37qp+BlL3sZ/M2/+Tcpudhf/It/cdAGNsWQQbvZbOCjPuqjWj9//vOfT3/+/u//PjzrWc8KPgPL/Vf/6l8l6YYv/uIvhh/4gR+AS5cuBQFi/I/t3r179GeFOnGSUJkPYsP64cIMM3pWeuLorW26KoLtxR8rbmiGtmtuViM1rFaFN9nT6kRxqVAvczTOhr9PiwkVepYBc8fj4T5HABWy/pAhuNh4gdgCT4j1ggyTkg31a1hYkbraWsRNf+rvG/VgceJBsDb0HAamx9Ph/Yk32VmkriiDkGsAcxdjg0nOF6krA6soRzDU70jXFZnJoWehXMFEM+d3UVdmmSNjN/S8Bqwd0WbRjE8CzbaWP73RqfXC1Hc/MsfxV2udATnVz1YdVwAzDJ8kHKfaep6RUBmP6Pf4WxzOevm1xqPJSPnEzWlRVmYTbftDHwsE6jSQofKn1MmSN9RmVnb5Wod84c9q40/9nDf8Szzx1wCxuK4c7r0pWvcocQT1jhfrEmZ6dVohe9i6jtuXyknspHA/qo3Mgbu/YNlr7qP4d92mXeO6IkAQ9DcK+2ObEfcbE0NksBcAcXAzH2rjmgElbIeiajMx7et0BAFtYB19uFXXjfbpqCv9S9PCcH2QeZinvHHE72dSZlBvav3t+DdsuAGr9SfQ8kuspkr7mwb98TfB7xWfGarrQtfVgLVY5gWuMfQ9OE45vid8N+r/mtBSBnPwp8vSfR8b7unwy6PgeryHvi3M+I3sLfReqzpZz6Bv0QEE4XuiukZ8LvEgnPsSln+MzFrsN806w2W1xy+PxbG64u9tv/RM7EL4f9iP7Dpi4r2OrwrBBX0N7tVVXRFrrLz7mAV/rwjWPucq1LeOaeNdH69Uf3C90049EYzjstFYI2pjGiEt5YOacFh6bu0us+0X17X895zGf+UYn+s71+W6YhfGN2p3d9PO3I91v6V21XI63famz1vyXu0xsXMdJp+j3+Keq/O7bjtTcj/93eMZ3qLEg0r3OIEHeYZEnym/jS/Pt0oJn/TPtd47lQDHppGsrgvdh6etPqzeFT7fvtf1vWAJss44gX0p5rcZ/2s44W+WLsd5eROWoEM5AHy/2JZVRX2YnhlZJy71WKrmnGr7cHddQI3yYaHT0vVGScpgG+uxFZ9bVX6iwEof4GJdXeUj3wucyzZhyQssW6bmulhdV6au4b0k+ca2xGcHrpvrQ9iC5qGAX92JXW3sJCnU/nozBoprKuobNK5vy4IsTLIsGyeI+MaoD/JdbD2P/a5wrVMUZp1Pay7rWq4rjmdJ+w5db+xLTODKNWkCx4ENyurp9VaG5bP6uunDtCaO6+Vv+1b1pr6OGshc1812f8rwvWjfyxP9XnUb9zKa79TeNZurIQvrM3boL2f0zmuTTBnbZ9DeDn3rBGPLdQQT0UQzZNbS2kT3pw8FjE1qYnrSR3/0R5PeK/7HGrY/8zM/Q//hggEZt2if8RmfAffLbt++TX9euHCh9fOLFy/Sn7du3fLeO5vNCKj9/M//fLr/f/yP/wHf+73fC7/1W78Fv/mbvwkTDwPv+7//++HVr3711s+vX78Oy6VIqeWD1sqygKN7RzDKUCuoH4NuXZawjwPAyRJu3vC/n2q51hvKTfA6ifFgjAua60/ehPm++92e3F6qso3Hg32irYoN7OHJ1WIVfF5xslR1rYqd+N2g5lZdw60bd2BVLJzXLE82MMeJJsvg3t07gxNgrYoVgU7Vah2sw/poQW2yqSq4deMW3Lt3RDNGX/8FntTVNdy9fQ+qiftkuihKyCtcRAMcL468bSK1xXoFOdErw31zcXhMbbKBaifvtdAb0KO7RzC+4T8QGxdqkj1ZnUB1Q5CwIWAnyxV9EyhJEKrD8d0jOE91rXfTh/Ui6OTwOPw8XGzVNSw3K7h5cwNHRyu4cesu5OP0d7yHW1/8XldruHb99namb5w37hzShmyJw1+xhus3YsHyAX9Fod7VcgFFuQe37hZwfXzSumZy6xBmRQHFZgN3j1ak+b88LuB63WHGCWy2WpEO8Pr2ISynTdLnx67dMZv1/M4C5ig/UY5gceM23Fiq6+Y4x91Q863UpqsVTFF3+M4RrG5opu6Jet7twwKu31jA6GQN+9gG2RhuW8+/jc1cAKxP8Lp2m/hsslyqtrp3AstOWfFsEfdrTz55Bx7VFb99516LoXK4Vj5xk3Pz1h0am3DM8IXNjo+W9A6rowWcONpmeazbeL2BTV7DncMjqNfba4Sb93RdF6pNfJatCjjAC6uy1VZb7YAbGxz/j5ew8VyHDDM+Izy8cxeOXVWsazij2+rOtVvekLS9wxOoqhKWODYdr+D6jeYwu2s37qi6YgKJ69i5OnZQV7Qxu3v9NlR77nl6dvdI9ePlCmqY0fOu3TqEqcctDl9HSwWcHN+9B5X16eyXJYyKAu7duAPlxv2Aye0j8w1ivzpeqTocLiD4/V+/q+s62kBRliQRcXTrCObMalmt4fj2tmzYwWpDkSD3jo6grJuIkXIzgqLM4Ma9NZwLMMlwbp0isFZVsNgUsDo+gYOyJKC4mqjDzdXRMaytrpFjX3bIXRwfH0NRzuC4ArjuKCvbk4sMinJEVMzrt5f0LWI9i+MFLAL3zY4XMHX4LUdjKMoCbh6u4bpPowFl1xZ4Ha5n1nBdt8l8uYIJ1fEE1rctNunhiWl7ttuHRwAn+mCQIn1VH3/i9ooAO2ddV6quOCzczGuAh/Zh/923qF0XR8dQjLbrs79eGzYT2hpJH7pd1iv1Xm8dbbbGf9vunCCYpt4rrgXuHh8TeHBOP/c2Pq87VlUVnNW/X5ycmHd8fHQMVTUn8PXxWys48Oz87mxUmyCgcONO+/sw7Xys2vnMamPyIKwOjynCp/tuS5QtKQu4c7KB67f9db19rNpkvVxvXZcfq75aLldw0ulbB2v17bCtFktY4zWV6idP3l7B2n0mAwuKglcZy+/eXano+OOF8rVYbvmiNlgsqQ3QiuUKYLUmqarlagWL0Qn1k3s4Ttz2j+s3D1VdMTqJ6zpbLqnt1scL00+o7ofb3+mdu4etsbkuVV2v3VnDaOn+dvBTWWzUPSdHSzherOHmnTtwGcffsoJ7T96EyifTgv357iHN7cvVEpY3bsFigYlvSzg6KYPrtZt3KkqQW61xTdyOhjtblbQeOrp+C4rVnvcZ8zuHtEZB0lQ1wTVRDTdv34ODwr+HOFoW9H0vDu/BzeX2h31ms4G8KODk1h1Yg3/NPMX1GL7fbALHy/D6//o9VVc8HA9dt79ZU1subt+Dladvoo2WC/r+UfZhEXje4UlJbbI6OoSbuEEK2Hy9Um155xAWNyZOQB/fa7lZU+L4apTDPYfv68eqrlmeifd108WC1n6bw2M47jyzWKrn3b57DLeqQziPE2kGcOdOe4y7e6Tquj4+gpsgWyeiTU5OaC1VHJ7AkfZNieo0KPzk9Vsq0qKu4cJCLR7uHh5CvVrAzaW6bpZlvfY64+MVnMW2PFlSW24Wqq53aa/TXhOdP1nSeujw6AjuHo5VXU/wun57WARpqS0RAN8vaE187cZtODfd7idncQzHvc4UD6sKuHMrbf2/ZXUN+xrIV/u6TRQTWVcl3Lp5i3Cn65PrMB7vIOL5A9hSFAp6tcSnfdqn0X//5J/8E/jlX/5leOMb3wg///M/Dz/3cz8Hz3zmM+Gd73yn+Fmoefv4449Hr3vOc54DQ+zRRx+F173udebfn/mZnwl/+k//aWIG/+zP/ix86Zd+qfO+b/u2byOdXptZ++Ef/uFw9epVOHfuHDyVrSg2cLI5hkuXL0HeM9x5+fgSspv3YDIaweUrfgbzun6cQP+zF8/B5SttML6PXRs/Rouog70DuHDljPOa6hgBmgzqSR4sm9Q2twvInrgDE8iCz1vAdfJ7cP5gJ34fmzxBi+b92Z637e5cO4Qqy6DIc3j4oSuDfVbHGP5yi9iVwbpmt6iu87P7cAmvyzK4dPkijHqCte+dXqfTx73JzOv35HAFS3yvWQYPPXx5MDA9rg6h+qNrgPu0UF1P3nlPJbg4mO/kvS7mtyBbrGA2mXqfh4nW7iI6kWVw9eHLMPMAHlLbm61g+Y4nCBC/dOmCt+0W7z2huo73dlPXk717kB2ewGwc/hZv1H9Cfi9evQB7Z8ZQrW7DlUvnYTJBeDHNNnu34HCxhHmWwfmLF5yaX+W1BZyMF1DmOZw/mMPVK/5NRczKx46gXlVwYTaBfJ3DZG8CV6+0y13e20Cdn8D03AHAZgJ5VcPDl/bg6pn0qbq8u4H63hqm8zmcv3oR9h4/pMXa2fMHcH7OyRCRHZ3D9Mw+nLlyEY7vbCDPl3BufwxXr+wn+atOKqhuLWA6m8K5K+oA9SasIT9aQT7Nqe0wYUyV3wbYn8K+vgZtdOsE8k0JVy/O4eoFWR9GZk31xBFM8hzOWs9CO3PtCO6tazizP6HfI0h79aF2vyqPCsivLeDsNIOrlw9o036FxiaPdurkBMo/uYsUdjjo+EM7zjcwubMA3P5P8jFcfuiSU9ZnfG8BeV7A1QszuHrFv1tDBkr5/27S369cvuBl/hXZNZUk5+wZuOqZ6+4uK8gfPyY218NX/QLYxfwmHU5cPncWsoOZ+5r33IUNRg/kE8jyKVy9cuB9Xn6yhPxkA5fP4XXbzyv2bwOcrOHimQMYXXQ/B7/BOl/B7MJZOLeZw52ygL0Df9shA3b8viP6+9MfOtNK9lK+74hkM2YHBzC64s5kWB4WUOfHMD27T/1qim13/ZjY0lev+Nvu3Xiod7iGc2dyyG+MoSo3MMV1k147ZXkO+xe3fZaTuyRHchHb/FwzvlxYbeDapoT5Xg5XL7q/f9zg3MlwU4XZw0cw3p/DwcVzUP7JHQq9z/IJ1OOKxoCR5bsqR1CNtzcKD108C/mROuy+dOEAxp4+dw0KyA8LuLA/gqsXp1DVY6iuqW/xjKOOxu/dNVTjbdB+mo8hH+cwnY/h6sXA939rSfPwwxemcIXHsDsrqI7WMN3r1HFVQzVuH3LZ3xG23fTmigDMc2cP4IDpgh27d6+E/O4Gzu2puqKVTx5DvSrh/ME+jC5u94nyvfda8izTgz04p8t2BQr4o0UBk1nzPJdlBCCq94rg6fmDA/ou67ECDK6cP7fFfkcWfjlWY8aF82ehfFJ9B5fOn4UzJzWcoPz92X24rNuua+vjEvLbGzg7y+DqxfZY0m3nMr/VSCbM54r5eq8N8E7znN5rPgnXdXS0hnxTwdVzE7h6riNXk02gHB8Soeag07fK/A7UdpjyGXwf5+Hs3RVsVjUcnNmDqwfuvctN/K5vrmEvB3jokqor9eMnj5y+yN+tJdRjdWAzmU4Vu3g8hnMXzsBD833IDzcwyrfbzrZ8uYZ8VcHlM813XR2XUN1ZwnQ+M/3ElKfznV6+eM4kvUU7d7SGo6qCvYPttmM73tSQX1eA9MMXzsCmPILLly7CZP8ushHg4pkzABf843j2+CHpXx5cOg8HVy5BdlJAfv0esQZD+7V8eUKA88VzuE5sryeyM3iSd0z9GkJ7vhsLGjvHOP7DHtxar2F+sA+XO2snNtQYhffcpm/mkau4rnOwCJ84Qho5nN3bBwitX2kuGEOZ5VCPxrR38c3DjxU4ry/g/Fncm/jbEm6vILu3gjOzGZwJ+L71+Jp8lTOcO/3XVe+7DXlew0NXzsP5eWSfflJBduMY8imuvy452y5/323YKzYwHo8h33ev72/BCvL8GM4dTOAS1lWyr8MDr8fvQZ5PYN555kVsu+MFTOYzuHRuDFn+JLGtL1+93H7Gk3cgLyu4euksXD6bsNcZzyD7k9uEY8ws33uP3SZJh4Pzuu02BWQaILz0yBWaQ4/vrCHPj+DsPu5NemA+B2vI/ugGhldQW1Lb3TsmybnLnfVElj1GNP8LVy9BtliqdeLFM3A5MHYGDaMv3vEE/fXCNIdbBcD+ubNw+cx222Wj61CMSygnUzgzn+4Eh1nNHoes3MBsFN7XreEa9fX9cweEN1V1SRgb9pWnss1x3hTaINgaP+YXv/jF9N9isSCwFoHbFHvTm94EX/M1XxO9DjVpmUHbTWrGjNuQnIHLsNwHBwfw27/9216wFhm5+F/XcFDqCzh9sBjWDz8g3Lz2retYh+VjWHXoGUZPdW+yk3YlLc2yhGrj94uhgTi14Sn1LnyyVu4Iw4wDz+Ow9cl8uhO/FK6h6+N7Hie/wkRfu/A5mecUkofvLfQ8DmcZzydWfxrw7VgZ2X3PaJJfjWEcEOaX2nQ+pWynCP5L6jqa7aYPm6QCgfe6xFAq5R3me5PBwPRsPqG6IisdCeqcHXzLuK7TfCd1NZuPwDiBwDTKfaDN96eQjSprfEqX4sGykwA+MpdqgD3HM9AnEY1HI9if9PPDVk1UgP40o4BU0qTqPg/Dz4ndOR3DaqlCm/eno15+cVzDt5RV2KYZgdHFuoZN3WhEcsb4bIrjQka6dvibvR51rXUoY0bvUN2LGyWqa6XrWmLCNvW+7ecjo4P8ptR1qsYg2x8b+V2XRgMZQdPuNYil4E/mE+Uz1pewftTraezZvgafg32Jgk0xjHiqsuF2Dd+7auNwXY0/7A9VDZlDRBgBp0mNzDsl1eF7Hra/XVefoQ/SpNV9xnkNMmoy9U2Y9+ox9uurK74X6u80j7ifUyFLVF87q1VoHb67WF0xHLU7flVT5Q/Haq8/8w2qPjqfND5JFzaLtzHVDf+1qRqdU0+yI/pG8f+w71m/R6aP+nb8bG/SINUSCFgdHP9HKIeDP0HQolT+cTzvPkOVtm0zDFXVoqdFhe3n9ovSAVTXXJc5x3bNIMMxLSCLRueKDr/0/UXqqiKv9JjIfrV8h6pj+16Xr7E9t+ABByrTIOu8c69tZky0fOpRk/QsXffx740r/Db1dfxeqQ+Hkl9pv9xNaXzCkGj93JGVfIx0ubH/4WtnDWPdLnRtNoLZuCKZg5BfU9dxuy82EgPq//B3iJHy81leptvezXuNJPriccLhl+RrdH/u/q5ENp/dzpQIVCUZQ2GB2LdDfdj2SWHf7u+FyqJrSf+LVaaw7Iw09Of07YT7MPktt/sTypdIv1N8l/YYJOlPqM2u6qq+AUoKiD5xzl6uVd6D0DoOQ8FxfME9zmgEM0vPM7T+Y93NPdceC33jM2O+8ffa90xL32AbetfErCOMJBGdkX7LxL5LIrmgDIKSg0a5C09/0pO1musCz5xp31jOwHUsg4AHo949LIbwh9rY4xv7rWuvgD9C3XJcU2CPoTWy4zp+r9i+4n0d9h30jXNS5zoG1KkPY7vQBL7t27QxrVcT9h3IGqePpGw9E/1uMCKEXgUmANbZOscIGKv1LJ+5zfOe+1bMA0Kb74rGDK7rVh8mKRnlP5tNYF0qNu08ta624X1azmEPJwzABK0ePEfvdbCvR/uw0Gh8OdkQwzeMidj4D6/FPzQwNqntrCX29vbgy7/8y+Hf/bt/l3TfK17xCqMDEvoPdWqf+9zn0oknatPaxv/uatme2vvfxnpSZyDLJ1vAIWM+fdlUQ1AylrCo1EBXvQNAD22swQo7LMt5nQFrd3NqZHSBA2L5GIZK1+xIwDvnRFSRuuIgra7fUTiDoK6oHYvGyciG2kTHjONCGsE7r+kycT8YbDrrBSdIctlaJ1orEJzaxYEDAQ1ZPGEdg2A7qisCW2SB97pacHmynYwTBOCRrEblT85hFjDjYPZ5kXFyDr2xdSY/Ya2ufNQsiPv67SRTmjkSGxj2l/6uUDuwr09mkdr9ldnK7JOTK3aTLXGSB9w4i439OfoMJ0couJEdDNfkupoEGe4EXNi+BNYq4VIvqKe0KON+VbIofY1vDKhqGOuyLOno0W2mrjtIakYHZYhDUtKVsIZbrI1Nnwl899xHCazt9CenT04u5vIZSbDS+p2+1n5OKGER17XF5LJv8Ondmp93Dhw4YVFIE7isKfkhbfDw//D9MtuSwCTtv/sMzzvDPsdNFEqAZfqw7k/8PYfmKuXW/UwGzhl4cBk2Lxep1Y/5r1sJxuLagq4x0V9X64eRPB1b9bQTjJkkbuH7cU56x9kLCrB9RLGcaExx1Lf4rT+G4nfe1SALVv4mdaPlNyCTt9Rlco4TjXjuln+SHnM0IT+Gk1v5bBXyG0ww1ikiHxLyZx6sq2NM1O+plTzN66+dvFKaENDtV4O23fK6HtVpIkliM6fPbpKxkLGGjl7v8XeDTExisnqM5/XeY7HtGxNMGqAr5LNqQGzfdyr1rUkuCJiqfwb0edlvLPkVt3kkme6s0hIjDn1RNu5rWE1nG/dIbobPQZ1RGsM8+8Xge/X6Hnt9s640tW8nmR0b6jGbd5uaYMyQQdShVuO3M/6vt333qmsgmZ53DWPmTjWHD1mLt0zXZV8PJs4+jOM3HkxosDa5fT1m9oeRZHooh0J/alzh1Lbtgwq2RobrZ33WZ5FOrm0//dM/TUnGYsnFuvbv//2/J42uT/7kT95xSU+NbazZpqxt5TLMxs6C+bO9nnT/jmHioxhYWwU28n1solfzzBJ2GQmM67bI5zsGMAN1ZbYpA7tDjROZjXFSDyb6YrB2R4Mwb+4Du+ZC7zh2BUzbwOA6sMMyib52BEwjQ4osBEwvdwtMI+CLCQ3o2SGw1jBrd+N3xN9gYJzYaBAey7cLYBr7Ei5yEWDzLv4xkQX+QQuYYYsmDlmd6h2ZyycDUwTAaLMz2ieZSQJYtbOQ29lvrc2m/btedXX0V5NxnetqMrqM24vwHsC0yexOgHq7LfkTrFYBsJZBPWn72s/wAMSTSi14XfIHxm9KG5tIAs8Yi0wRzaYLgzBCn7xI94w51M7kM6NvwkqI7rRofxKAw3aG5K3+FPDp6kuuA4WuGeBYX4tsNWQbxfzyezVs1LrTjt3kSBi9cLg0m8cursDgWgggxu792N5+s5DHe4hiq//N5d0Caz0PRFai0G8L/OH5J5L1GSJgraQP4zDK74PLrJ7d9dX5t4tgNxb45T6cMg5vgbU2ExKigBO6xKZ8Yr4Po094NmTPuLz9LP1O7bGvPtEyBIoC3txDbNO4X+7fzgRkAbDWsMI6xkxPKYDp8ssArPOwo+tT+2sA8VBdYQvANL58/dj2Z3/feJCk78WhLJzoC7b7k2nbjl/XczoDRQoIv9WHpzLgsAGxcpNsiYHQ1nqiY0FwTQAcqt83bdyAa4GEW5K5Tu9Lo/XGsHiUMu2sj1y2ls7rwnrjuhRtmY2j7YtgpyjRuwCkRtmVKa5j7LJ2/aaunexn4cSytV6z+pJ537mzfe3r5b6tNuTkDS6wtnMoocrUEyBmo01GcyjCwPSm24ctoLi2yjQYONXtSDk6fH1YtzntdTAKYyhA3AFrcW/sPdSva4OZTHeFiTwF7YOuZb7jO74D/sJf+Avwyle+kqQL3va2t1GyMwRsbcvzHL7yK78SXv/619O/X/WqVxHl+IUvfCElGMOkYpg87JM+6ZPgJS95yfupNk99G89UKG4IwFxpwAnDrPIdgT+8eQgxMHlg3hU7kBmVWFcEMF2AEomyMzC9I2ZtiGHGZrKwhzK+Jth0NgZWg0MGpg9kz5lFjMJgOzADggQ22+V6QwObL0FOss/RCMrRiIDpzXIDewfTIGN6VyxiDEGK1RUB1XyHwDRahYsJDA0KgLUjZhHvCIQ3rPRAXTdLLW+xq7oiWIss3aryLsLxmyJmbTba2Qk3H9Y4N5K6/sjkjbJDpGCm9udkkZmF8SiNgenyp59hA2FmMVy4gTA0u+17MTVwE4//WWVmvyWP8Y5xLwTquYzeA/rEOuB/nXkDy84bLGRGu4ySKCQA0/gOa/wOfeCpBmsROJUATlE2L4WzB8BhLLuOFMQxkfsxZ+lO9isYzw0bG2UmNnFWIjOcnD4FB2BmXWD1UQSR8LESsJZlEFThlZ64C2yqr92D8o+vNz/ofOcMXAV9ljU8Nj+ATzhUUmD1cqP6KUmOdJiPtm/fxgn3leh3E/drl9GA/Mi0xpBrnzSGh4UnAfX08L8NEHRBRAFgyjYbCQDMKsTm9dy0xfh0MGsFzGWciidauqNVD/w9328/h9fZXbA20a+bWct102x6u0thBu+xH4QnuQ6ULHDMZZiNnYvt9stMcQFYq/0ZEL5MBIiZlS5g1tI8x//OR2Dn7EE8yoc7uJjaXkBawKydJoDwqn1rEduxKQOeyJUtZ5SbYZzRHIrAqXVcJD+YZN+hUyG7bNMcpjWvJ3oCxFu+ZUAx5jVRRa0F804EXLOAu5AhuxWPXhaB9V/SwS89NO57akcIefbj4rq2H9wcSOAHb63jef1A7eth1rLPKcoRpK6JSaon15ldce2m9i1TGyRGcwDFO2G4Yl3WG6rbdF/tH7f2HNwXp3krYqk3WcP2bclqOPuwrjdKW2FbJb3XgI30XhhxgM4rb2ETXFeUHPRPqh/a9kHFrEX783/+z8Ob3/xm+PVf/3X4/M//fAJqf/RHfxS+5Eu+pHVdSdl4mwHpoz/6o+Gtb30rvPzlL4cXvehF8M//+T+Hr/7qr4a3vOUtBOye2v0xw8AMMeZ0eHOxI3agcsxs08CEqH+HelO7sJkBrmpiCztdLixg2qFBOASUCYeS7hiYRl08vYjeeFbEGILMwPSuTszMuwps7isGGXf0Xm3mahFY3HEf35W8xZgXxiFgeseMaaP3rHWOfcag6q7Y4ba2dUy2hMu3MxmEqnSzXDVtEPdPCIb1ATBbpvsjH1w5Nxz6G16xvuGQBaJhSfIidxustcM4kxiYTn8NEGYWmrw3qGrFNnIAYbwYxk1C0iIc3wdf3xn7eIHrAoe7fvuweV1jLQ7nzJr2Md1xqGR8QbQIjzFhUJJAM7/DoaHCunakM1z+yEYZ5PpaH8DGodyhusZkENQ32GygRGHrISak8RdAth19xnw7QZBA++3O6xaw12JBLted6/qBa6ip+N5LKkx+9LBOTtRJPNWLWRsKb+6Cera/ELvWAxKP+b2Kwta3yxx6tjHH4bk5TJKw0p3LNT9bKM6s9YPmhn2p9fta1mVhWkA8a5DjNa3bRgiuNX6TGZgtv45qE7N2+xbTLXDor8I+6SzM1cZBZq37WgPCp/Rhu8BIuHC+G+tnvBbEA1WtlcvDp++bRckAXuI4mbUiuZLuoU78e/UylyUh+TaQa62pt1iJAeDUCf6YtXwEKDYRkLlzDdMLwBSGZ3fXK5I5Ns6sFQDkFtFlEYBpgu0b8o17FU9EJJZ/hjrxBNZOgnXl9yEyXBPxGNzpb615neffzl7VtG/fdbiRWivc8gt2uVpkgoHMWnqexazVbaYOqRzjyTRvonTGw/JkqOdNBGCt8o3rSLRdMWuZhBOKXmQpP4peRBH5U3PaByVK+UVf9EX0X8i6Ey0Cs/jfqT1YQ5COExZt1gVMHGAhaowSU2eHgJNhUgUmxEwvEvj0Z6iN80wlYcBN6nJjgGrb1ssGmN5JKLdUF0YveDCR0K6sxKQZhWKbYpBFiDE90aEduxr8WQs3yMTalXYsM1c3G8PuDCW/ms4fHNvUSF/sEJhm4Je1f13G7NBd1RXHhU3kUAeB6fEOGdO2DAIvjpyhQTh27UIGQX971HaU2Eadntubce67S1qgl4NO8w2w2NGsbdW1A0ylsk1bxu8FH6GP0XlDx8+euJi1PbV5FdN1RGMbMUytvmjAWh73AmBtMpsX8z44xh8sz54e5Yih4DBmh+AifCxYhGOfIWzEN7azJEHWaJy5/UrB2rDsggFVkUk2GcGi9LPS7WhHr98Y0xXLwY8nzVrVDqG6hvqT6QeBubJh8trMWse3Y99T134tYuyX+pC2xbTtgpqd2xrJB29Rze/uXLoA+fOvGKkVtSkO6eX6mbWmrgJQz2jWYp3w79gGOL75xmgfWMsgl2NMbOrqYX16WYlyZi2/O/G345NeML4hANZmprj46EmWJgvQ6Jvq1FN2va3DlG2mNr9XCYDp+KUNinfbltY+28/F90iBOpXya88H2z49USQpMghGs1bCrIVt8MfWe7a/VZc/bkdr34LPQhDG59cGplu4BM8XAp3lrXFiFP9e25IPdRrLk8FSrKed2CzP4HDllwZAIIo1qHsza+kQoGqYtXyYHTjUlzFrhfIPNnC42IFffpatn+pZB+SlKttxEKxNXMNQX9V9AOvmOIHCb3RWIUmh9ssg9GHW0sNVQjtq9/0mcTuyZdHWmA9grfCA7hzS+Oy5Jqa6rFrvvCW/4JVBGEBgML6bdQe2L0lr1OrZ+0zJt3z3bl+Xsc603p86+7Du56hXS9fuULMWD7FQVgPXvpgsecu1hYngmjgie/8ha6cw9qndVyOQjkPceMPi01PdFQiDg8QsPhlnOw5bJ71PvXDb+OrKGqM7BKZZDzYEYGb3QcC71BO5Amv9J2blDoFpZnKOCknyqx2yTXXfZHZn15bmfWPyqx3pAu9NWvIKD4IxTc/UzzIM5SAwvSNZDR0ahGBt5TnxL3cMTBOzVoebOUEY3e4IhOEYtisZBBt8t/1SUhMN4Cw0a32QT4sliQAIZp+mZ7vA2h0kGDN6mdZzKTO35dd1kDIsqZl7szlnBETCrE1gasSYoPtZk8HZZclguK3z5jAsBzY5LrKDAKZww9GAmZ4xxwIyTX/auP0adsjID0xHNWRNchnUqW7C8xj0Dvl1tnGkfsRMZFDI6jP8LB/QhaxBxlkQxG7V0Z5zLcCp7j6rAwyxchD69DEwbbapAWpJH7tTdwxrtcINQ8xaBuqWqYxpif6wh/3HGrTY/L5u7GV9+oi1ArCW+3Dw2wmF6HvN7xtd8qtqjcW2z9ABVhcotvsU92u8pKNZu5ckDeDyC16wlr4bTxOyXx+Y6GVMW2V3MtOpHO5r+V0tUoFpu4+47nX8yD7U2Yv4tUH4FjDtAaS3vnvC4D3jRNEnwZiA5ekAsOhZkbGY5xyWTNgyiV6uYS+P6aPZ0/O6ZK4LzrE2SO0DyHXSJXuPuPTQw6sqQd7IAKbhdud1/1Gd0fNdlsz6ZCmnQLvvodxQVaqu7tlD9QYwPcQibDNzhmnyDHiYtX2BRAeBa6sPO/YY4sRxEt8YbUprYse3Y/neCUBsfI9bCeuWrvWabhPWRx681zG+EaxVhBjfQcdmx3lXnqp2Ctae2n01CYDJAFi9QzkKCYDJk+GuwtbRSl0HljvY+v1692HruS5/CMDkdtgVMG0DmAxA+97rLgdhBjA5RMhpnOhrhwAmT7Y+ANOcDhKosJthdap1gJGJ6U3iZoDpB1fXlZYtUcD0jiRELE3j5vltM0nl7gOz1rVp5o0vZ+MduoCxgTB+Vsuv1acXWptt0GLNaIQpAGXe2ejgRrABT8eDQ81oE+lgZrYAkYBmbT/pBXfY/l73544+04vRGwH79jQLaOXKZtQjWVEMHMb3Spq12QgWIQAzpEWZsnm3NN0MgOnZOIskNRjY9IGnHWa03Ze8IeSB/pQJErapC9uh/biBJb8RYBq7Xd5pY3NwvMXMCzNr+V2FAUxPf+rMQfXhEorfeRdUrJEbYPA5D3Uswx8zdtDS3dTtZULxXeZxi6GeUQCzSpRB6OJcjnl5HgES28C0/TD1R/n4HagOF44bPWVkBn4UwNTlcwDMjb4pyyA4Dt9Is7ZdXhmAqf0GZBCombvgke+dC/xGEz3abdBN8OW5NgXAtP0ahrivTq7vxlrLzyN+vexwYR92mei9VhEZhCCz1n1IztrcPgBzpdvPq7tvJ/nyjUedsHQG1xD48QGYInDN1MVak/h8W+vc2Hul9WRsjrUBU59vzHnCclmBg9hea6cISI5tjMBe5ZFBQMYtywYkA5geRrMNYGLOEXAxa4dIdHlY5GYNw/O6Q4JhULSZ8d1eV9n92C2DsAOAeItZq8Fa19pH+17qOZLlIXbhW+2xkFnrYeDrfSbjCafmtlOw9tTuuzGA6WNg7hyEEQCYCH5xKPdkhxkIYwxMwyLeITA93ddamAEAs0l+NXlgoF6hdxy7HIQZwAwxMJm5ON5lZskI29Qwpse78zm3AMylB8BkEH60QxaxkQXxADb8HRfj3QHTmPyRNavXi46Wo3GsZUt2BEwrzVoO0XGdNpdGAmGXQv+4Ct4f1X5JgnzUbNaHyCBguY1ubWEATOPTTlIzyamufSUJjE/HJsQA05vaJDp0adb2S2rmBjMZcOKxICSD0Aes9YGnc864qxPEbflMbV+JZq1OMBYCMMUJxmIaspaGnwEwvRtJQdhiTAahk/CDn0UAZjWAWauTgHbN1ji2AYYGwKwiPnVWbts1jlcu5twWWNsur2IkxxiY4P52upstJtSerIKJi7Ds/Cx/KHdtXDAjlswckKRr1ooATM9BRyZNMKYPels/ysNAF7p0J7/Sf19uoHrXje0btxiR7TLLAUzHL3nO1X2p1Y/58K2bYAzbN4WBmSfKIJBciYt2GvcbBIhtv93vx+GP+4IEwOxKeWy1rxOshSBY2/ThOtGnBsJjUh4O0JN94jaKQtddfguPXwm71SR86jJrw4d1USCRfXPCKZdZABY/i9+xTytdBGBie/N789Xd8j3X84afRawjzXBNLNHdj8kw6MShjcRRtcNEXzGwVkWb0VrCsa9A3Xaju9+XWevwzXWoee/c2asOBjAdjOJmDePWrFUJYXcAnDLorevm/HZaMgg7ZNbqNp/otbCT4bpuS27sllmrEtb5DnXuB1nvqWinYO2p3XeLMTDr+8AOnOgVoo+BiQnATPIrxyK+v+MwqMd19YWX9HI5bxiYPgDTANMWADjccSRcXp+Q7pJFPBcwMA1jeofAtAEIPQAmg/CkbbsjywQAJkt57FLeIg7WFjuX8rCf52PgG7B2V+xwk2CsgsXGDdzg3gmZDfYmobchuqE3ZWeyeiuE3NbKNKf5AwFilgnAA7GGzVu13y+WSWd2Zuu9SAyAtbRYY982WDsEIPaAmfwsIznRAWuJMdcnwViEeTrTc0qMWSv12YCnhV8GATICa0MApnjxbzZTPrZRwzyRA5jZAHC4zfxGrd88AmAG/eLN/GPX5sF8gwOBCWtspHWNK4FQd67O+oeQb4F6HtkJw3r1AGsiINEH/JjkTAGWni8JkgUS+/x6Qb0IWJud24Ps8hkYP/Pq1jON5EOEHU7AtKcbOyU8tpi1Hb9SBqZTBoF91A4ZBGtM9zC1vcA0JbxpX+v2a/m2f+Z6tyhdMgSYZh+ZDKw1zFoBgOnV52WGuGst7QKIbbkUU9fECIeQLm/L2faPlKQCPz/RryDhlD3mp8kgREAubGeOuvOClm2wlg6TzOFv2G8UwIzl+rDAWh7XY5EV4rWEI9mVyzetiTNcm1U7ZNYyo9m9zt7XfZy6okNyzAZNkxLCkm8/k5vazk4o50kw1htIdLxv7pumfTsHE+gzKSFszLd+r8xKb/Xh9f3VrOV8IESa6I5jqw3Vk8HaXWnWYj/PNKvXq/dv3vcpszZkp2Dtqd1/i4B6Rt9wh0mSYgxM1lNFLUrOar0bxxGw1jCT8gcGYBaok8PA9A7ZpjFQz7TBDuvaAjBP3AAmT0quBG9D65p5FpXlfdBdbrHSPQAmg1Gs5btTVroHQGEQfpfAtHqeqkPhSeLG5dkZO1yDtZkFtrcMkx1glByCtUNZtcz60f3jzKgKJPvKZSHkEjMpwJFZ2wBOJIFghZhj2WzmWvIiXBuDaja4yOyFtd3Gu5JB8IB9vKBXDJFtZq3NGkxOMIbm+TaQQYB24gFrV703df5QTXxVLDXklPNIYEy73p+PWRuVQZC8V54bqtodPm82T3aosWOjY1lIysOW6nC2qUfjOCYN0GWHj57/EFS6ahkmUmEwxtbcjDBr7ef5AUwPCOMLYwxJFOhH8HLCW1cfuMYSE5sSit97H5Tv1pILlvmY3+g7xsBcemUQwKP3qX99YR/y5z3iZNdLAWJM4tQ6rLObG5PxHC6gunZ32zlf3nkfcW3Txm+MWetMMOZi1loAZul4D+yTSIcurNYGxbkbYb2yrm/rnv1ZVGrC24dtv67DDic7PBMBmAhMMz6zxdQ2Mgi1kFk7Sgbhu9+OmB3umFcohHw85JvNhIBp+2Yjq+QBMEXzOoNYvmS2HWatep4jhDzVr/3MGLN2lm8zMLd8JrIvYwmw9c95je3ThXdqhw9l1rKUE44zrkSPg9Zrft/YxpPainjZAmuHMmv9MggGwOzIIHD7orQFSvXsDKztJja7n5q1DNbq8VnJWHT6E+rZ8zvflV9Ls3aEa9B1hMC2Q5zgqWinYO2p3X+LAJic/GpnjLktAHMTzEC4q1BuCQOTTw13mfwqBmCuNCsTgWlM+PagAMz7kfyqLauxDie/2iFjOtfPynzAdCd8Zves9CLImJ7uUHeZmdrjCIt4l4xpep6erEsPA39U7lbeAr+bjHWyNioJV8vWBe1JkVm7q7AgBgwO9K7P3lw1EQbjYYm+HP4QQLFDyAnn6rBWdgIQOxJiMdBlAPFOiPmwBGOc1Ki9I0cG5jSrYVzXOqtxu6/ypmuaCEzHmKC51gU78SytkutqMaPDEkK5F8DES8TsEH5/eFDhYlpZLIhYgjEJME3fH5fJMY/YsgSSpFD4DceY2qF3aLPbbbM3dS5r2EbquuzcHO4+bQzZxzwNsoOZG1CMJBhTdeXnh0G9LtDlXdOwTwGz1hfK7QPXjGbt3QXU9xZQPXl3e0ztMgczObPWq/dsgPDODQat9fc/7ks+Bqaf9Wk9s6yhfOc1KN95HepOBMzokfP0H2jyAJscwHT8Ut9rwP4WW9sqHreLZqa2AMwiDPw4o0hsRi+3FUVl6PfOQJYN1u5N4wcdMRkE9sO+BczaGIDJIDzpKY58YLiQWeuQQYiB8GJmbRyrbfl1fbMIzPOrcbLSpaDlVrRBGMAUhehLfVt7CPlYPBomRWDVW5pMTbx2MiB1eJ/Ia+ydgcTq4ghYqxmY2dh5uDYINDXve3uNj203Q3kidIn17sxhgwFMR19jhisBmDj3c1SIYdbuSDuWCSYGrHUcOFtAcS95C5/pumRVBXMd0dcCiXW5sN1RvgvXzr6EsMmGsiB6fvBFVnOb7Ere7qlqp2Dtqd3/ThYBMA07cIdgbRvAdIG1WmN0x4DTiBObrcPA9C7D1mO6wGsOW98xMG0ATJ9W7n0AptsA5rbfJQPzCEzvUmpipgFMT10bLc78vgCYhYN50AKmd8isnbKEiCexWQNM73hy1bsr8/wHIW+h+1JeVltR0QjcKGZtwyIcbJwoSbMXnNlgabG2o5N1i02gQsgtdm3n+9xFIgXDzLQXxAwS641JFwhLTbrVMqM7t/1dstREhTvcDrOtd/sGmLW4sZloAOVYJ4jbVYIx9OdkJVoAv/18l0+lgRrxa8sErENgZpNgTMo2lUh1bJlhfzdjDWcEd/m1gWlvPw5JWfiYtdrn1iZHmxMgzrLmoFLPu3VCgjF6XgD8aSe/6jJrPXVnLUInK3EbwAwxMLd8Mgh+tNS+HN9Jl3F68YC0ZPFPA8J7AUzol5wp0P1mFnnM5dfbh1vMWgzd1QeY/J0ylvn0SzB+1tUt8DN04KDKEmCHc+i4AWsdQA72vXwMo2deNv5tANMF6jWh8s4iWe1s9WNKyNWRv7CTqe1PYS/gs11Xj1/7mUIZhBiAafvcAqZNfRzSSC6f1twSO+jwvldX/ZRH93UdM1EOrroWAWCaCtPW05Rr1u4AwOwBFIdYrmVVw0bKNo0SaxrtVJtF7OoDyXqqESkC/nnNDM8h0SuJIDVHB2Fi3S0G5sAktGEZBDuxWVh+oZc5WNy4HsZ1cQsnwITCnfwOwyPc8maMLKvtPoxjDY+fu9aspegH5e+syZVRbRNTcD0xHu9OAgEty8wetvYcTIw2qt0zTRI6NbedgrWndt8txsBkBt9kf/rAGJgbZpvuGHDKNdDlY2CO1vdBOzbCwOS6cqjszgFMT135fec7HoRZiNzFwFwfq59tdgxMxwBMPiFnsH53jsfeiW5x3DCmOVvtLmz2/7P3HuCWHNW18O4++eYwWTOaUZYQCAQmyBhLJJNtzJPBBCMTH9iAMeG3MWCCDfg9wIDBWAaLYIMNJvkRTJTJSEJGRqAIQlmTbjw5d//frq7qU91dHU/3mauZvT6GGd17TldXd+3uqlVrr12x7hdaZ/RVpBS/7lrKfR2RNmorjxy/7uXp9L2ILd9aU1lgDFODpvhkPa0+ilQzebEuF1oUO+5TY06c3OSpw+/NVbypxfs/Vl8Viy9BTAy7aiJsnHY1Pu5VafuznKwdKop+iHs9FXMybKsyVZs2A4OleyFqhvq+xe6ruFZ4XBV5wPud49dBRWC2+FgShGO4VYe4pirydJQSG2aD0OI/D21XsuqIQp4GtSv6ioppP2JaEKgqcli2eZBhV29GFaXCVzLsvmou5Rxb8HuO4/1ukAITw0kcwjOd8Hv34efxS0o7As1LYA7876s7dlBF6fFQRS88JIibXU5iusja2QoU7r8f9PmpETHto5gWhLUg4cLJWuu/g7zGwxSYLdGmu6/uDwpSA2NUPoxP04IQ9VNg+l1jJZno4xXLPrp7EfSd85EITDte/Z6JqgJjaA8hzscmHqRjl4s2qeNHYIrrHvgsFgW4HMpa1edkS4LwvgZdX6UtiwoSWTsi4SGkr+7zHl3bwD76jicRO4o2pbhRxkIYYSrmnq45ZhiBKeYwgphKS1k7skHwbxOzZUKJrkLEfmOBMd6mMoVcancqqK8ySiHKWrvtgm/GDFp59AYRrnHMa47rORwmvZyuvMaj+YSeSpEvATyeRdZiYbPC+NfYDbFewXe89MwU99auC4L3hsdJpDEckzDFvouxaV9fMX/Fz+T09Np1qedHtTKk8cSJYoMraxNfX7/mQzaDbP4nZU7keAORtYTMEZRCjupAkcpdTpmsDSIwDeFZmzLhFKbAzHNlbTHlvgalkA+42tRUvACzJDDFQzg/VZiYAlMQ08OUSXgHgalY5Gt8dzCXZrE6RiwUfAnMLre8GOTz6Sqmizkw+PG6ClW6nbaSovUCO56dKuRts9O0qpgbmp6qlYfwrWXVSl27zUiQpz6B4cRUSaSayQQxj5dhIWeve8cmiV0Foxy+tS4/UEE4jTNBtMlMKUbEotlQpJgzEoZ3NtE1DkgnFL7AuHHjxqivyZW1ngVqf8DGElZvbhnq48adhDMiRJBTLvKUpR3zhaPwrFYTmPEIYjsTItAmYOTj1wslMIP7OiJPVTYITuUwIkjRa5MhQX0NWqz6KGudKeSqxXrIeHITiioiSPHVoBRyQSTiueU86kD//huHNsE4XPVtP0yBKdqdcvtuulL9bcXOoU0Y/PwuMA5u+NsgMDLJv00kq9mlk7xto5K1Qcpaq11/Uk+QX5E3ddh9NcOVkAFtIlkhyPlAspY/N00VWRuiwFSOpzDSVPxY2miwPKD5+ahOQ9ekMaw+bChJ7GcToLTyiEdgqvrq3lhxwIimrMXjqwhMP/LfYeUhf83P49mFoNgZXV+fL9tkih9xOFKYyggjMFtpkLUuqybreE4ize/9GloQNgZRnJMUmGqSOOZ8IqKyVuNzbJWKWPQVzw03JyMjgpIai5bivDfsGseGfM1dY9uyQbCy2dzKWlRLC8V04vkpe6drnusurBAGwkJQGudjE8QCOBZt+4m+1wZB2gTHXqZK1rLjcrKW++SovHKHmgYD9DZPmawV60RNNdYNA3ShmE6ZEzneQGQtIXMEEZgdO/VAg1IloxRyBYEp/HPT9lMNIjCRmBbFr1J/MBX9CUxB4IqUmkkRmDYxrVrEpUJgqohp64VrpNxXB4Gp8EAe7Q6mTWD6ezyJyUXaxDQ7trAQUcSObiumU77G/HiqwmaCNB6g32mKxDQSh6jCKBpD7wKWpQYBSw0KXEjGbE9ONXN61g7t9DORti4WCInh8ud0pJDbNghCWSvUvCkoax0FxlxkoxSbLNV6DGJaVkm6F8dTfGLaVxRbaiUliEWsmQrytDtkY6mb05UEJp6fTYjE6KuvTYBU+b0oqgsHkTBR+2oT7s53ibMARy4CgRlR0aso/GEjwLNW5VkYhYRXWXUEeeS6q5AHKXp9lfBuAkhB1qrIhSgkjJpw8r/Xxt3r6l9I7Qd5b4ox5nkm4qLMpWZmG153We2xv91crdRmFCIRFakej2mhuvTz+wwhbQIJcb9r7HfMiMraIAKT/QyLImo+lgR5l/IzwH84jlJbnItHuew+pukiwv2K2SnIcPczGm02RMLFVMC7TlmAK6TfkVTEqjYDbBCU5yYdQ8QrK2qv+Lpvu/L94v0a3rYCxsFN/89JsGMnrooYETDHtNK2he+Jc24rE5jBz/8oZG30AmNB9guR3zmOtkNsEPh6I6iwZWxyLVRZ23cQXWHXN5SY9rMi8LFWwkdqT8faCRmRtfgQcfEBI2Wtl6wVbeJ4SzwnlglT6brbYgKx1pHaFu0KQncsSOPNY4Mg2X0gKY2qaUQlLUsC3rawX3OMYT7OmaiBkbXprHUEhIAp3x9658SdvlXsGDQop7x2Pt5AZC0hcwQRmKIgVtpp61bDXpWX52WYsrJWkLBIYPbkkuMZpq2HEZiYisg+k3JfgwjMPr7wM0hbdxKY/sS0Ko1mXAgbib6rrzim8UXEmk2ZhBc+zioCU2xCpE1MO1TpAcR0Pu2+8ompzkl+pWKaW2CkhpJVrbQ8dJK1bALRk5W1KU1g+HVF2wXPJJyP547OfW1TaHPkeeq0QWDtupS1sdUhEVPMxYQTN+uYOE4iwqKkrQdCKC5x0eFaWEzxYl94/9xIar3AVFd+qXw9kT6o9o9lamb+o1jkv49P7shzeKRyVRGYI3VIRGWtH3kq/zcvEudHsFmK6QjpzRHJU9mzViycEpGmYYt0sYmreD8Hknph48mjrI2mmIuiIlaOpRACLfAcQzxVfW0Q0BfVveDqDkCbLQcrE0WbAURiIOFkKz7jFxgLIzBH7fq06W6SkbXhbG0QgSkTeioSxrYdECSaj2dtULtKUi9Abeo4pux5LHvWih8tzzACPXfGTvbf5QACU4xhfKwGetYqlbXez8jXS2g/YhOYQWRtiGetRWCq20UCRjxCPe3K7z7DZDY7WKAv7n0Nilffd47Cy9OGILXwnaawUbNJpwACM3CT0FaYKp7FeK8VytqgTbPRHEYfX2Eqzom/C4K8cmNbA8gFp1Rjil/3As9KTHx9wwhTlYUdPrM1nDfp423CqoDrRfEudwlBLM9aAww8L9f7dyzrBRmK7D1BwttrR2mdbM8nUiZrhQ0CErOMwJTU6zIxnR9XrOFqezqgVoaYJ6etrM2VC+wtiES8O3ZwLY0jrIOCmJRr2xxvILKWkDlkAtOtwBTEVxbqwCACU/ippp22ni+MCEy3KjGrtHXZs1A56ckobV0mMD195cR06mnrIQSmGbDYHheGTxE39HXV+UuwPJ02gVl0FOFznI+w98iErOW2Gq6df0ZMczI1bXV4oeKvwB/aVh5pb3LkrQ13Y+hMDcKFmmHanrVpTWAE6VTgC21ZgSmIqRZ/LadCELvIU5lwsokwPkmKmrYe3N6o+I1QfuGPmG2WwdWvDrI2GWkqwJ6jPuRpWaiXFWTtOMS07ZPrVp6KdDK7grOpJCZwsRmLmLbV0V5y2PaPDSQw46Zo+pHRI9WpIEX8SL22TEyHetY6rToEmFJSTO4Vylr1ojl8PAXaLtgF27zPmZGiy/SmrYcppt2etRFVe4kJzKjjSwtOIQ9qV0n+uLJoVHMvZ/uSsjaAwAxMWx+jwFioDYJf2rofYnrWqgjMUaq8Txtuj1gFAe7HT4tjJkqXt0lxyW9Z9qzl0JdmIP/gU0Ffng0lMFtCzZv38VN1d0j2Q3bfb9eYt8eTcqMDwmNHSdYqzs3Vfz/iVFxf/Li70Bfru3R9TeGf6YbveBIkvPd3oZtmQYSpIJF85l1+KtfIaetBG2fi2SH5qLM2gwjiOBkzYj2E83n3WMK5g5iH8nP0+IzKG5NxyUR2TDzeqDih6rqLOXGqClf5eqqUvd0+y15o5/LKazz2PNGHJJdtENyiDHEeY8/DFbZZ9jFtb2avDUIq838RZ90BEyeIDBF2b8W1KBfSmYf7jPXykBOzCpFIm2f0pU3WokiMbewPh8zfWiXWQx4hkVjjBAKRtYTMIROYbgVmVmnrYQrMHCecxMswEwLT5feZZdp6LoDAFGnruMOVNgyhNnX1Nau09TAFppjgZdJXvuJw+wJ3eFEzHOOFlMexsFUQ41WpmM6gr2IyN3RNqHq4684ntpWUiWlhg4KFxNAyRIbh45uWxkRCKGvFJEkmjnqgsfuamrKWE2G4WSSnkDNiisduU8ulNlmTlbW4qBgVGBvZINgFxuyFzhh9xZWomHQJ4osrMHEi7k5xS2IL4KvMdC08sD3WhijsEFeB6QdB9rkXOqIiPL+ebjVkUp9cmzj0IYeZstYm4cdfXNm2C24lr6L4lp0a6tfX/GhREps8Ff+N40m6T44x7EKka+xLDktF9xTPGUdxPgniPFjaehS/Tz81pAJBBKYgugLVgWGQFkgO9bKPAhM3lsRlUxKn7vkUxkhEYlomMLtGjLT1UM/aEGVt3tmGql1vir7PMfG+ShYBfgSkg8D02dTxJdf4nMuMUGDMjaAibqHtKm0QvMpaVb9tRa8PgRlKhksFuGzYRc74f7uLAgYQmIHtigJjqusaoqwNatdWwvsV+pI3dHzIWr/xJOwXAq08/FR6pSBlbfC8SxCYbhImctp6gIeprbzEth12KVFsECI8/+zsO4XCVLx7mCdzLtAGQd5wj0x0SUWfPNedF3xip8gFEXJqvMBYmVBBJHmnx4Yiqh09dRzYxuSYBKYPWYsEZllkQ7nqDKSurJXaFmPY9lRV2CCkQ9aOLD/YnNj2XjYdYz11v1p+XPYXH1dOG4RsyVoQayylspaTtQWyQAgDkbWEiQDVpLLichJp63m+cBBkpbwoK/CXcynt4ldSqrZ4EE0ibV2kpIsUdaWfagZ9tRWYnd5ECn3JExi8h25bDdtPNQMSXoxRN1k72h1Mv6/CQgIJTLSWUKrDUyYw2bH5MdFTSKUOH+ZykFOkxY0DtAZBixDZMsRNTNsbMKk1ijYIGlPWigmh1R5aIJj2pDE1z1op/U0U6Gky4lQsDgCaaRUXc9gEWEosQdhhX22yr5Djk/AUiFNMhVYUGUNSFCdruN6QVe+pTMJ9Fh5FPjGtQXo2CAj7/N2qc5e/XtO1qEtKENtKXjc5bPurog2C1Q/HhoOn3ZSUtdL7S1y/lkseGGsh6WfzIDajmPpd87SJxASrHO1oN1xZJZPDDgJU2Ba5yGFPX/v+xLSvOlB3EUBRlbVcgIWn2QkgfxKTtdL5atMl+98i7b/pJteGUtq6ogltrmL9PVOy72Ggilg6datQDm/Hh9RT2yCMR9aKYwalrXue/36HlPsaMvQFeRarrw4bhACy1o/U48cMJKZDyFoWM/K1jTAP8GvXJojDDhFkg1AqQO7MXZA/fZfjK6IfwSR8hOsrI4I/sF+7raCica4++iprfWBv1qk2dfzGcJSUfIXaUIY8n3C0GfW9Lo4rK1kFxNzTJUYQx5TVu7HbRbDKspK6Vob8LhdZJD59Fe8cJBvzcdSBfoSpIBJ1HYrFkeKw7XrHjjV3CiKKB0PWZVTWttIgpoMUzRLw3Sk8VTuuDXabwMynb4Mg+mHzBGLtwxTTYxDiIfd7ZF0lKWszJmuLXPTjuK+87SZkRdZaVnNIFLvHkyj+bpIFQiiIrCVMBEO+4OyLiosTSFsvcuVfvu/2Ux3a6sCytEBJCyZ/MNrVJSeQtl7mi6PCwElgZpm2bjVsHXPomlzaaesZ7JhNzZYkX+CBT6Gv9Psq/PjcBOYgS2K6VIAhX+i3613n+fAJRz4DY3bbHqQ7OWIaFdh9fg07je5ErDw0aSLR7DlTg4Rfbey09SCI59zQhDlBiPQMqbBRfpQamoZnLY4dMcHtDWC6yCf+yPyIhW8xb6et4yR9bGJa9FHaOJopWOplXFvJ3tliMjyeslatzBQT06qpOxawkdLWE7QnxmiOS/Uc42kcJYxPte6RsjYHM3yCjeltfgqc6J61aq93lbJ2ho8ntuEgIY7Xm+/1FO9L19zAUuuC8hpHUmoLc0zZZkFK2XeTwwIzPHe5kaSvHs/aaGQtbiQJUs/TbpSK9uENjL4jzYVmCur7aheh8iGm9dkK5O9/MuTO3mP9AM/Rr4gOa9R5jLB21WnrIX64IZdiOu9zfQPS1v1gYn/t8whueFr0Na7a1GWD4N6wtppWf3cmr26zb+BzA0LIWv43flX0ETfnPMpazb/dGGNYdUyj1obB9XdD/9o7bHIPxyFaL8jjl7UpNldcmzqMhAmytxCZYKrr6h5iChWxfV99xlO4ctkAU1ErQLTnO4Y167Hit6njb4MgimZKBSQFbBJJPd+b5oHRdL0rIhNOOX8PU+jyNQUvUC2ASt1Sfsx2w3xrFSIi8fz335iMSaf4tS0Rdzh/s6+xD0mciFzj6zbvNeeiiHwOBprm6at41+H1Tzwn9uu3YUCZk7UNnl2Wik9uiA2CuL529iI/P6vGgGnNidMgMF0ktSN2pI2JTMhafr+FSA3vqz0nZkW+AGqcIE/VfgFRLNhFnJuuh5Nd1C0DwdHxBiJrCROByV+4g1Z3YmnrFU5g5gdDR1p1h6v2kATDIlmpg/fFcBGYWaatTyExjW8VrDguqRKzTFtH6IIUdU0uR2nrGVg+4ESCqzlaEoHJFNMifSjlomayWlcTk0iXYjptP1X7+Jzw7roITBzXWRHTBb7w0V0Tqj5fNRsZ7YQO+eS471LWZkbCF/OAXEgeF3DSBE4uLpZmdVS2sOVk16JujkgCiXhL27PKVkl3B/aCw95wyOug5XW7TSSmY1UWDkqjlxZSs3mAnMkXzQ5lbcTFehAURc1k72O0QZB/FSltPQh+ylpRFIQ/3xuehU4ygljj5K94f6iUrhiOBb54kttFFUx3GHM8ifeTqz1TkKfS+2uaH3OsvopnSZ97Gov2REy4JvI4PsVCp9GP3657A8OrIvMhJgQJ4+5rBILYFgrF9KyV2234KjAVX9LHU9YKAtOPSAyKV7RC0PD9HEUFpalJPb++Ksk1OT0/gbLWvr59pyoxMG09BWWtIBPdJHG4DYIgE7l9jr3pJr2TteA2MZTlTR1xffHQ4jkStOFgXyf8bAQVd9gYjmqDYK7Wwax32HzTbPL5UIA1AH4NT1VsgCIwfMVtUluIaNGVtYpr5TeGRwUBQ/oYpKwNsNUQCns5Zp2FHv3axefhKEU7jg3CFB9z7mdiLMLJJg57kZS1VruC6DIyImv5uUjzTfudM26bocpa53sojBBPNE/0vea90TXXtPGvb0ySGoewoWlQN7R0CHG/tqVxjtdXN01WF4SFN7/uoq9ofxFm5ZTkmk/zdQC7xgplbRaetbnhkBX+xme/7Vvb6bFXSCtnbVInmhMHgVkhWsfsuZ9rGRV6Px5BZC1hIhAEpXvHOMu09VJ5lFYtk3rCSzb1yvIcOaFg9SyusyOmmSox71UlZpm2LtsvaO6FvSCmMyBrZQKzJ5F6HSQSBTGdIYGZc5E0We8OGvy4sirdUkwPM1NMl2acO7ECQkFtZmBb4lSld32sPNLtKxKVOl/8ItkmUrxsZW0ul/pOs4iJOeAetbjLLaXdxU5bj0r2dfqMUGIF1QaWzYN4Lo9I0zS8ubxp9KKvfU13KLHSqLar8nQ1BwZoQ4P1taPnHAssmSBOQkz7KUEFWVzkq3Gv6nO86s02WWq3NyL4LQJTkImmp68s4zMX813dxSwNqQ8d72ajrTZNQGDawEWL+Jh8D+3FuvcdYiswpb5aaevRiGnVPQwqLsba9F2sR1BMC7Y2pg2CnyoRSZgovpuhkN9lDhJ+1KZMYAYSxG5Emm+koEoMKzAW8fpieMq3NjhtXQsoMBaRJPYlpnm7fl6f8r3lhTARqC4dnZ76uziExSNeJvUikfC2sla2QVCMNcUh/JS1ocS03bb39/bmlS+3rNnHlVWJoq/42FGmrQvPWleKvWX/4Pqs4vtJlbV2bQdWcMhHjR4wpuRNB9nZRTxylHYpAmKe7msHoJ7vCSLRzxogGlnrY0UQQBSPCEwpMyJJ2rrPxuSItCwqCOKUSFM/0tL2TrV+P50GIe6GyJxzk7X8XMR6HNuw58RpKVz97nfb8spF+4VxMnXiZinhMStcRY9EsXhvpa5wFWMJ1zLDoT2G27hu5SIjPL/U/Hndz7QczhNHIhH2TMRnWrtnxU7Oqn0wrljDA7bgUGcbi+zQtAu9H48gspYwEYwIzAkp5uy0aqFKHLU76GSXto4oTKlViTYxnUVBKOwXX2TKqsQs09adVhM+fqrlbAlMmdQTxPQgl7MJuDRR5n0t9PvO1EORop8RMS0ITNlqosM2PfClq0ElAxWxsNXAndi+NLExxL8zUhFrfEIjb+oYAwPyw+yIaWGtwKwQ+CTRUtaa0NX11Pxq3WTtjEj5wkk4J+Lwd2lYAygnqB2ryi8e121JkFqamY/f8Szva9tVOMJWG43TrigwJpOndnEqnWVQOMnacQtkeJW1bCHPn4EV7g3uVn0mva82OdpTk6fi/o7S9L3EBC5IIk/CkcUQJIT0DlNtwKkI4rgLHeZzrCKkbYukaIt1QUwz8XpYs6oiYyHKWmH5gO3IadWRvIjdBZISKGtlcg3/GUkdGAPy+BBp1azWkaxKF+njEY6PG2Gj//C5rlo4gelIW1fxv5Ky1qHMjkiaImEnnDHkaxxIJAYpa6O5IPhbPgSl6Iv7ZKs/R2ycNlO2P2OrThXfVZF6kRSujgJj0rl4xr2WmbLWARGvAffXVi/L93UYkTSNUgRQoWD3VdaGWT7wHxvrDUgClcWFsJnAV2Rg2rpYf/mQd+E2CFJatcNjVMtEWSsyOuTnf6K0dWlu5ICYa0skkiBNcUOwJ9nn2ArMuPMJm7T0u+aCrPX21bJyysAGgf+3XinYGxlyu6koXAOsJ7BJVHg2XXYcnbQLjCFJyOMbn2ELujFaJwuBV9qkKc6rxPy33bfvq7DRYyRxflTULc2MPoswtWJY9JXdVxT8GIb1ns/l44/hqM3z624LmzhytlgvfTvK4w1E1hImAqGIk1WJWaety165PWnyOhB+qhkRTn5eucI7Ngti2s8rt89VxFmlrZf5AsFd7EsQ01n1VUx0ho6+ZkvCVySv3K5EKghVcS6jvqq8csXmA9pB2IuLtL1y+cSi3eh401YyIuFzCqV2W0p3LPvmECYHEkW49kUC056YOpS1Ke808zidMqwx1OiZYPIJO25CxE5bj6yUtK4p+ptWhlb/RBwJwiCVvpa943XK5CpiyYuMqQN76XnWOlSZ/D0jijnKhMg4xcV8C1Th4oL/c4rHq3sBK84h9iScKU81Rx/xuG5bnRmVspaP5zhtMvLUJtwHgYtnQRB3XcVe7PEUdaNDQRYEZWeIvsqEU1MqQhJGTCdR1lre1eCrXg4cT+4CSX7+qhHT5cX19U1bx/5HuPT67nk2vnKnbHedrqxKVIzhKPdV8jbGC+d3XcMIzNC0dbn/srpW8lUNg4rAFKRXnFeOmUBZGztt3e1bK+ZdzHw97yFuI5F6QZ7AKgWzuLa6yrM2oE2P2pS3G0b+60HK2nC1qfL5H6Zc7g2dxKmquFiAstZdANGOnVxIEcKVOu+X4jMBlymIhA99DguyRFa+saqGXoWpDGsT0LLbET7w7DBJlLU+KdLBytqhp81YaethnrVSvx1eufKGaFLV55TimjuI4qIvWYsEsVVjIGHaukyQO4psinduUb0hyv891txUXHNc+8tF5do9yGka29CX27TGVkrEqYMwHV33RbAeRF1JQZ6Jd6w0zxHX1xDClFKBPf9F39Mv9GX1bQ6s47cwdvg16OdzTFWcul8tR45zInrHUvFajQ5A5/xPgYuDCP4gspYwEZR4CrlMYDZrXcv/Ch8SGfipyl65Q2kRaHDyRxMvy4xIPdkrt9ft22nrU3P+E+k0VImyV26fWyKY5Yz6iiQ7mxiNvHKRtC32rH+XM+qr7ZUrE5joZcYI+oyIROaVy/2MJFuNPFeLF/l9Txt5Pk5lr9xOzeprPyM7AsSAk96yKh1ftohCwGIwjU0dXfKUavO+9gpWwYW0wYqMobrKGNoLHSSpkHvCFPo5VdnzMdtDlA1OYOLEm0/YcHdbVBZObX/FRZ7iJBGJacNAGwSrvVrXmsCl0VexuSD7WFf4pKyu5ezJGi7usLANYjZqBR9Ve1L/7ImgXM3Zlbou+jqbtK+CPJQKVNnEdDEPM2V9lFbN1yK4aBfnMBezrxZ56vKtxfZMJ0Gj8o+172vc6+vyyWU+ikLpKpG1OE5xEetewMYdT0qbpAClq2ohGatNyRpEQPTPT0VmqRK96uVI7bpS9WN51irItRp/Ts1x0lp1rlF8a3EOlH/gAdB3zkdSCNZFu1HIf9kGgVXpikDWKop91XojgliZti7/SMGnReFtVASmaHdOtYD1OygjTs3YJLx4buG1xscKdlPcdxWYJ7AYRzZxqkP+3L2MeNd3L8Qi9Wri2RRo5aGyQYjnWYtp+cIrF5/9gpj2G8ejthW/Fw/XgK+qxrCInVm/NiVbluEvDo/8Y1VjSzEenV65PN5NMzRmHX0s5kDfuzT6b9FOkIo4cAyHkbWi9oSkyGbvGGQEdaW61fbKVahc6/Y7NhedOJQJU4wjMQdUEMUqa4A6L14UqU27bYWylqeGM7gEGLbtg6OvVrszcecT9jV3EaYiWzCArBXXFzdLE6WtszUSH6Q99Ybs6BoPPX2NdY3d4ApSR3vs3z1bWau6vhZZPqaYgMmu+XWXsjLn+Vy8LWWg1uzxlL53rEXW8mvQtQp84e/QR1Zses+Mc42VbVv9nhXCCZbR51x3pN4mh1gvVvp92yvXaHXZGqSTy8FsJF+lExtE1hImAkFg5gwDeuIBUW2zv3vFYiYkjHMROCKcND4hybmqx6aFYikPBveoE165zc2OnaJfysifZURgSju1/IWkZ9RXvG89l1cukrasqBkubuezIfWEp5JsNSFIeHvHOkMC07aX6A9tX9fpuUombRamvar0ftMaT2aGfbWLfbUkEp4TxpW5bNoVXrl5iaztCRLeR90xfqN5NkkUylqmWmz32I5+M1+A+VI2O9xFvnmDqWXi+VTXczbxk5Z3lJ1GzlWSqEpEZa1sg5AqWasgT4tDq20kv4WyqSotOBJXFkaI5ymyozx9blScSiw4Rouh6ph9Ze8qoRoUMcljRJsqWgtYQRLwRUe9i4SMlXKdSNHrsl4QJCNeazFORp6q3r7OcwI5ch/di1jxnMX7JCsmZfKHt4uTcTEhj0zWurIHLOWwvw0CqsOtNr2kaZR4xSJYHlWTPWb8Fw5u2wdGwkQZT25lrZRGm0RZG0gkCkSwKkCyz+85o1IlVnm78xHIf0Eosn+jsjaCTZBoE0ku8eyo8ns8H4XkGhpgHK1a8R9R4erX1xon5JXkmkplydu3fxVRWSt75Yrri20GPv8FQcrak1SuxTwj3j1q1zHJf94hyQZBuray57T4WQSvXDGG8RFdClXWSv1xj6OYylp7DPs8h/Ha5c7abf+3KZ4RSmWtHslqAhXEyKvjqc76Pf+ld6C+OONUottkLcQk4cV91aMThwKCzMIN9MBr7FS5snkT//dcOZdMWWtbXEjv2tDNugTkmkphivMy4SHqmnO622XP/06MvsrA9xpbJ0oKZsbw83/zub18fUWsJ25TgG3yqq77SOU5pfAjHl3jMUk9e07ac9og6BojTFHVKjZ17Pdr2fLmHxtizST1e2Zo9bueKyTbcIgKMZ7afZbthArwyqBvTQtKRfv6IpGr3JhMJaNPJmuta9AU646Y88So0KdKrK/Tg4EdO+1qh71K2vlCZore4wl0hQgTQaGYH6VVcwKzx9OrhxmlVDvSqqUdPKGELGVEJDKvXD7R6nICs8vVgQOu9M0CotiXsCBwKCFns+mrg9TjCsz25kgJqWdEwguriZxcvZaT8PmMVJ+OYl+cGG7yDQf0xSxlkKIv+8fKXrnCkw7JoczgsprAAm5YSRQxPZ8NMV3h945t6vCJ40CowzPqKxJTuFZEAtP2jzVMGIDGdn2zUtaiXzeuqXFjY8iJ1E1uE5AmQWwXGGM7+CZbcKDSVbZBsEm9NNpllYT5wkMsuroDXjxiVOxrXNJUft7aylNRAI//LaxJVErIcfpqt9dxtidIQHfl6FFfExY1E7YEgqxtqywJnATxOCS823dY2CHgz93nP+PTVySlheo2FG5lLbOV4ItnhSJTZflQ7YhFXXSy1h4vbINGpID6z0fcJDES1EIJKc5J3aA2agf/CGuZCJdHkGvoeTmMSmDiu3/PImjLUtEpFQJIY7cqMZYSEiF7meZ063ymiqDvkVSfLv7LKvrn9MqNpCIWXPjRGgxvXYHhXWuxyFq3ohfv0YiYVnzfz8bCiG6/gItxUTtPtBtZCSnbIHCVtkrlGZ/8j2Dl4bZBwDleyBwe75G73RExHeHZJPVNcwsPIqhNHcraCO3qC9Ogb59l/w5S1iq9dBWEuCD+8Rr4puhLP2fzOplwt38XQVkrE9P98OeEh8AScWMrPIM35t0qV1RC4iHw2R8pRV8QxSh6EJYedtsic8/d5ohIFASmINdiEZg4bnH8ympa8TcKM1ybHm6yFjcle1wJGZvUw36JOa0gaHHOy/z9RwrQKdkrl7eVisLVLjLG37l4DSTBi7uvLDvIvsZjzhOn+RqNi04Y2j02uvtcECPUtUIxPZcWaTrlVdZOccFNjZOW7N/dlNtFSIIqVgCxqMMsI2tNgOmSRMJnsG7mMT7Fs5vZfeVjvcbXHan21dF20coWGfTtjRxbhFMqpl/U7DgEkbWEiUE8hLv8ITlsZK+EHKVVD7xKyIwIJ4TBCcwetwYQSkgjw76WhFcuJzCZJ3DGSkjWDicuRLGvXr2drRJS9sodYDq39VLPc+KkmJH1gtWw02oCdwcRfXzhZERMV/h9ZV65WDkUx3M7WzsC1oatkLTaam1a9xWL9qElRBYolEabOkKpLUj4nJjgpQxMBcYFFE6akPwRqtpWLge5XEIlZFB7dkr7gKkmhCUBzmY2BloiJWQgBPmEbfSHMJO3VMT4n0hUJ1FCRvY8Ff7gjKzVmLJWLCZt0jSNvvLnvFBBic2MPN/oUCkhxyJrOWEg2hHtary4mNtTdWxi2iaHJRsElyWBvbiSFrCJFdOuKtm2/YJglwKI0yRtCgsfofSQbSVUJNS0wis3lrJWjBdeCZltKjDpmzf1VdWu6Kt8X4MWHHYf0E4CxwyS0ag2nZ8KPVfkHhhnIKVVR1FC5nYtQP6MXcEH91OIKlSJsZSQ2Ge3Z20+B/nzTgZ937J8Ao7vMKWRi3QKU0I6yHCx+MdrbCtc4xdxC1VCBnkOCx/GGES8W20aSmByItzhkRtx/uFuE991gswMVEzbNgguZa2sVJc/F5HADCUSpXaUZG3AKbvHMCPhgxTTMsSGjqx6ZCcgtx2sSncT04F9lY/lJmtjKGuxqJjwyh2NJy3C8x53SVDmLbJFoq3PbAUmJ9diKyFxLinGriBKxWaWz5xP5ZU7SluPMTfFg4g2RJvi3aN4DwhiusEJp7GVkG77CdkCgV872SvXvsa8r2PNndyF3RhRb1j3ouL1rEWiFseVlR2UElkrrjkrENG3uszPS7SbmppXQGw+2JswJhQ5gbkBVhvdgWEXNUusXo5wzfEazwhl7XR5tOGQBWnK14qljmU/KZS1+KjYMIWyNiuytsT8iNFqrsU3/oUIxybPCYEgspYwMRj8QdXjKtNJKCErXFGKHqpYVb7JCSckhEqKhWdaMHlfh/xlNAkl5BRXCueHQ+i2e0wJiQrFrIlp8fITNgRZKyFZk9MF5nWMK4fGRpt5Axf5JHMqIzsChO7alR3w+2tkVUiNe+WKjY7mZov9LUj4rDyBEXk+odJ5nHY5CT/IUAkv+/C2eazmOtl6AmvTRaasnRoMoNoZWmQtEiP5Qqp2BF4lyRCWciZMCUuCcmGkNkpTWYvqJ4nsm9VN0MGEASr8irlkSsgw2GntPcvvtNVja89WPg+bXAFpKyFT8cl1KlRMvkk2Nc/J2r7BSL3ISsjIZK1aWSs8eEUfa/zvpIsrzfXccbcnFuvWAtYiJ7C/wnIiLjE9srIY+JLDAqKvm3wciT7HaVO2QWDKU0F++1gGFSX/Omw3NgmP8cCMJa2UxNH7uRSoUJwtiTaH8Uh4ybPW3GhaP1qYUl5P71c1mzDc7LpUiRE2knKn7bDbE9D3LbHnnr7L39vUblMopmNYICg9a6X+2FBwnnOudiMRmOLyivjH+BAqvQjPb2EngW1a/qLBSkh8poWplaO8N2alduMoIW2bA4dnbbTnmSDu6j1Lqc2If6aEtDYG/BvVvP0XHKKD0FOfh+8YjvAclmOSteX4SkC8Sl65qApHjksUmg+LHfsZuNqA/k9uA3OzqSBr1WNSHFv0MZJyWSrQy55DcvyIax8wptArl3F6ptUuEmvCY3o+jFyT1dGCMBR/h1ioCdsBnDshbHVgVMJJJky52g4a1twPZtRzeUyXF8Sp3W5SJaTon9joEcSpQmwiskhEH8dWQroLu7ksEHyvcRop+qINQZjKBDm+c0rq64s/H3tOLNb8QsnLrrnlj1zicx3PeEqLSHR71vYHkGdqZoAVQ2fPf0Gaoh9zanNiuW22mWjCbB4YWYubDrKydjYL0pSNcw3yQwNKhgGt/hCMRpe9PtB+jdkUjFE7IhCFPJh881ZkGZvtbC0ajzcQWUuYGDROohnV1sSUkOiZiinqqEqsrTehU+PqwGI2xYoE8oIc5QTXJJSQxVIBepzoqq00bCVkL0MlJKK0aC0CdTHBylgJicB7161Yx2+uNa1idWCCoetW0bOMMLU0zf4uCKV0xsXqBPpTVl/b601GxOe4p1aWJPz0NquvpXaXbXQIJbwZkhY3Lgw+brqbLV6sziKKKln1tZiHfDHH1mB4P3GzAcnTZi6fugWC7d/IJ6R7tD4jidGfC4mpNFSfYb5w84ZFwLX1HNR76dkRqJWSfWtSbJig53OseMRqy7ngSKOvI6VkH0xcjfONm/JchZHQqB5Yaw8jKyEjk7U2ecrVOPw8lqes563o67g2E6K6u8EthGTPWgH0yl3ki0ZsV7SJqahxC3OMyFpLeWqTwwqLgG0+fY21gEXyFO8HcgudAZh80a4F2Pdsq4zaRVJ6IJSQnFANVX9LVgg2WRtS6FS0udbipF5UEl6cEm5c8A03fWGKFRFCqwLZI1OFZT5uVruG5QkZRQnJoW+fg/yvneIoOpU7aQny9zvZqX71aROJH7RACPRwVcHlWRsVy2IMd8zoSkhB5gnbFbw8gvuKcLqLzJ7EcsBBVW2oElIi1tww5QrnIVgua3ZfYykhxbXFd2NMshbT5ZHnwq9tdEd2D0gkBj4T5d+JqvH8PORNI79DbOP3dY0/HyJbPrgOquHJy9YoAedc0DX7WmK7opAabmyFKSEdauH+kNlreM7F5xijMSw2OgQJ7x8HcrFDFi/yBkcEZS3euyUes2sdgxG1+N7Dw0Sq3+P2rXUVuvLDEj/4WmvAia4ESsg553rJJk4D1ktL/L2D7Y6lhLRT8nl/+RoRFO+eZd7XjbaVDTW2EnLKR1nrWk/4XeOxCMxZcc1bzmvO5zZL/F3X6A7Z9U2VNJUJchyk4prPVWCJr9+wr04SPqX5qbi2GG/4HEchAWZ95fOAtxP7mTpBLMCIcN3yRG73YGeO+/xjYJcK2VgvCHDFNP61AwaQGxowbHbYhl21WGQbAr4WLSlArJEFBzMS4WSYCXsc4V5H1n7zm9+EZz3rWXDaaaexl9PLXvayyN+tVqvwghe8AJaWlmB2dhYuvvhiOHToUKbnSxihvGiRP/lGZ2JKSFYAixNdrfUm9DnhlKUSEjHFveKKrY7DjiBLJSRiMG1dyy6SehOwI0DMbLP6Wu70mM1E1kpIAYM/5PubLalYXbYk/CwjMDUoDAaseJzGJ7ZZqsMR2tyUvdHREtYL+TyzDcgKM66NDkFMZb0TmhMKsFobmniNkSzCXd+slLWaBvoMWiEAs0JAT22ruFgeFjIy3Bfk29Kwz7xykQxBP2ShhEzdJ5fHioG72vUOW6hWC0VYaeHENH2C2FZKtvts9x6h4/3TNFhrWYUysiFrJeINi2/ldYlMNFLz5hWkHiprWTEjLtcSC/xtU3zRjIu6qEWogtrjdg5IQqOlhE0Ou5SnMnE6Vpt4XFzlD9FftQsmV0NoiveXIKZx4Yp2GknuKyNPZYKYq3xEnKggrrHcV1T5Rl1wOMeMsLEIfsYsVrAYHhaix36a0Tc6xDtpMLSfo2iBwKwBztgFOp8b+fZVkD9tI7oSUu5rPsc2y5EYRlVtFCChhZYEuJZel0i9SGnrEpHH4EfWKmwYtnGyHYkuWwmphZB6UUlGH+DzcIH3a6VjhBdwC1DWGneuRW7XJjA7RiwlpNgsYs9zcSoRyVqMNXs8sb6GE4nWF0f/tJ8HPD6jZIzJbcrq5YUoai65a4W8o/hW2GWW2632Y4xhX+9qLXRcb+PPg80ebiJx9XIYCS+e6SrPZ1XbqnaljQ6ZDI+0MSlIy1rLIrEEeRzyTFyq5NnxsSgUesgmIrpk4hCfCSJFOuD5L4jTteZgPCWkW1nLxUQw530mz5R0KOZ1Nj/clEi9xEpIcW1xc5IVF1Onhtt9bVkFmrB9fM8JpW8iiHU3tokbTEJZy6859lPcQ+sap0iaouCDmZPzcYZjjh18yp5PYF9ZdhB/PqVGnOKzg1mtcY/eZsfKSOLrZJyfpm69IMAWGXxMV1uwDXitilyBPcZTIeGDwO/tTn0IC/0uezZ1CwXo67ns2uQQpCwKYtBGUOdzZpH9TDjOyNqvfe1rcO2118KFF14ICwv+KVwqPOMZz4BvfOMbcOmll8InP/lJuPnmm+EJT3gCDAajgkyE7DDLST20JKgebUxECYkw+URgsNECQywCM1ZCzi5PMYIJFZAbR+ojJeRCJduA5h54Rq0NA5FukDUxPVOEAX/5bR6pZ6+E5MjPW5Mprd6CPt+tM8qlzAvldXmRuMZqAwro/8MVfFmizBW9uWYH2lyZlWWxOtVGR47v/me9Ezq1ZD0nSq0OtNatvvaK2XkCi+cBLthnBgNWKA+zS4UNQibt8Ws41+/DUg/JYYBavpBYCRkGnceiWW2BWW2zdeBmscSIro0MihoIcpG1x1WS4nmAKfpHm8NYSsjQ9oRKsuVVScoE5mY7pQIZwlMOq7FvWGMUrSaEghCJSlR14X3FvoqCVImVtZIa21ipW8phzfsek4npDdHXBG0y8lSMmbXG6JoqnnM4XsWiEcn/JDYIjjGz2WYEcaiyVurrehJLDXnMCAI1ZCMKF8hCccTGU9S+ciKNkcK8sJ+j2ntUBWbXZGrIWCQMB34WiWFU1UbFNlv5adjp674Ephvy5/yIRDNYgbnOSRj0Ow1UQo5J1jra7RiwEVbALcgGwW43eptIrK20jchKSDsuJDVmVLJWbhfv60ZkOwLX7/ElIkglSeHPfHQVWChpfKMD4GgHvUYhulJbvt648SDHqR6dwByN4XjWC85fSP/0Ianx/qHLGt7Po1zlGtaufrLl5WwX4JOIYOFBHjamtpdHGw4bYtMsKqG3yIsRok0Lm2PijlBeWeBRRj6nwYJE6on09VjPYi5GYMpafBZL3ql+kAnMTV7LIRHhJEhqbBeFJkxYg7tDFeUz1CYTmwNG2LJ2k5J6uF7D5xO2ie0Lqw1BXrv6us7mMIJIHNOiC7MwxRoCr7utrC37XOMUU/QxtsTcBdu1ydoKLE9bbWJ7Ql2Lnr3Ct3ds4DUTXvEbDYB15CIADD4Gsc0q72sm8397rLdglnvlbup5WGla5DQrxpiVHQG/t8vmAOZ7PTYHrxe5dVdWxcU4iotT7NIvdTpQPVS1FL2FIszNkGftcUnWvvOd74Trr78ePvKRj8D8/Hzk711xxRXw9a9/HS677DJ4+tOfDr/9278Nn/3sZ+FnP/sZfP7zn8/0nAkWytPFkffmzQfZ352ZSqYkDKK4YBFder0FpU3rwVzZPpdpm2g70OXEYfMm3tdKmZF9k1AvY5p+fr3G/l1ctqraZkrq8ZdA+5eHmBISi1BlpYRUpenDSpX9O7ccrFBKA0O+O9m9/SjzB0b16dy28EIxaaiXS90eDA9usH+bfFxnCZN7hg0PbbC28W07vzPb8YTXUmx04DVm7YsJTkZAYg/ngtu6Haa0Q6VrI5+HXViNK4v2eGzk6y1Y6luqvmt71oJ310z6kyZBsiFxamw0GfGxUSzBkcYQ7qlZE9PdKfZVw7GpaZYtwVHrOZSbK9tK5Z8csvq8c9ryyhobqATFBcDQAOOI1Z5YDAhSD4nEO6vW5HjX9HjXmJGZfKE+vGfD4+1nLeqsvl7D+4qp8qj8SdymUCbcsSopM53Hk/t6B+/r7tncWAT/8K51q72poi/BKFSuPztixQ4SuHH9eTW+IWXg8w1VF1qwLYHoK6ak3rbB+xojdmwri41WZBsEud2b1/qMhEdOZTv/mX9jzv/UY254McJJw+rnJtxctRawu8PaTAGC6LqjMbRSujWAnZUEnrUxgAQpDmvk/H62bvV1Fx9fycjaeH092DLgUMsiunb59TWgMFsYaSmjnNOYLy7imjXe10o4CaPhPFpW1ePHYzxHhcUFknp3NYbBfZXbkP9ztmyfJ8tO2bNg/cxnbGOq8SInIa5ZteJ1qayxTa041xJJVH37bOTrLG844DiONJ449F3z3vGDc5NzT7IsTHzWEbJ6+dq1ARvLqFRXFqsTbe1egPx5++wCfPIYEJuAYRs8y9JGx+0NI1ZfQaj7Wx2Ag1wdjmuHCONKEGw3rXSYwhbVrSJ1PxLwWYztoMLzaNXhnerbJj8+qlt/tWY9v3fOJBD+ICGMYhNUed65Mjofn+eXaPe2jS4jifE+7Ug6d8J2uegEbjtipcdjbLvmuwuVHLM5QjuCG45awpSdsymInAQhvVYf2UBIambR13tqfTjSGCS/xiqIdrBtYX8xN8WKl5ULlnfszw5ZJO7OtOfhYk2Mba/X2T9z26yfHW304Z5aL71r7Ia4t7U25GotNhdHocZPD1p93T6dZ/c6E/BrPt/pwkIfyVoT7jbz2fVVgrZtjvUVxSmbfE7ZmJ5ic0XCcUjW6gmJva9+9atMifvYxz7W/tlZZ50FD3jAA+A///M/UzxDQhD6PE2/wn1y8gEFLtLCDCf1yp0uI4BQBbp8UrZkLcKYcfYVdkTfXEiKue2crO33mcIVSa/lkxczb1ebnXL0tb88lzkJP7s0BYamg24YUMYJJs43uTphEupl0dfu4mymnsCsLWmjo9Kw2p0/ObpCKimKfAIv+tqanYJSxkpteaNDtDu1N9sxjOmcuGhc7HVhMDRhvVhimw2ZKWvFRLU3ZAI0tFy4rWNNWk5ZyGDShMonXOghxzAwmBpG2CAguTZd1GB71EVdBCCJqPEsAkzbZz+bLdtE18H6INW+4rNGLOCFJ6i4xoJIRMUnqnpxIbl3bvzJvyAlbA/SHc53yvaU+yr6I66nrtiYWmZED1p3mrDeNti/D8wna1coa22Lh4DsAXdfDyzkY5PwOidr7fEyjcW+/MckFohDBTqK7g5zEuaUxeh91XEDTNcsohYlJkztE4Ws1R193TeXD0+9daVLay7lVBjw2SRUngebFglzSkISPg4E4XSIt4lErag6HwYH4einRFUUkJOJrsh9lU/JXTg24jjczts82sY0Y0vxiV62UT1rxWaDb1q7D2L3lUOXU8SxiGSMeNtesT673jFZ8S0UVe0Oef6zDSrpGeB+HuRO3gb5c/cGxqwgTuP2VRTItP9brocgq4v9iGnNyuhABTOG4skRN3V07NP5B0Djm+Ws7bkK6LMVyCFZG3DN3ff1wGxwYSZrA7Ck/AxufgqCOAgL0kYHKrVZu1E3sHB+KQp6Hdm0/t4ebc0i1KaHata92LdQjEc44ZgRbd96mB90dM1VQEJPFBk7XLfa3b+YYG6K13snX4feZW2E2gSqAoLAFH3dPVsYT/XJM8nsa64gyJkfPc/JgIikAAEAAElEQVToEO0eSNJXN0QM34GiCNO6B5L9hyDhj9Stwp9IwKeWLi+u+d2r1uZXHjeginyj23mN9y+mLPxZ4mQtErW4QZDLwdwO62erXOGKxbaQOE0dQtVbRQV7g93bw5Upqa8Zrq+w37rOhDe7Oi1mp3FEK7D5y0lz2ZK1KJ7AIvMamDBbtURz5R1z6RdwPk6RrcxvC+Gmm25i5Kx7YJxzzjnsd37odrvsj0CtZql2DMNgf45nYP/wAY1G6oaWTl/Z7tWmtZOFWNy3mPl1rMwWoVYsMvsFRHdplnEW6CWbJYr48F/ZGL0XJ9BXLJTUnqpApWXtVLbmZmC5oGd/jXfNAtzDd6VxY3rvgqfN0XhK71w6uBPLH/zYbzSnz7qvs7vmoH/ryOu6uGt+Is+C3sIMFFasCV2vkIfFxXLm7c7snIHWTRroXEmU2zGZvhpIEre5jQcqcnbPetrFitT28ylKWmoAzPkK5OfLoK20GK9w19Q0HJjPjX1cXyC5j2nfjS6g2OhosWJnBO+dzaZd9BvFytas+bkyVIo6NHh65oH5PJsv2+mWabS3OG1bBCBRjHYsJ80O4Jfro8X1yXMp9nXnPIBQ1SIxvX2GHRvVa0sVHdb44nXfHC8mJ7VrSGMpcv9wA+EwVwEhts06vr9nNgc/s4ThDGOPJ+HlLLA47TmextWl99S5Wno6xzYDkrRruv0C58q+x8G+yr/ZP5+P3yYuEpGUEUWiFrz9cwNj5ZYN6/NYXA1VipHbRWuJ5Rkw0VaC3c8lMHEpEfJ9VGUzuz3Tv6/oP8rGE/9josp7umgreM2ZEvt5HJw0pcMm97RDcm25ZLWTJTCtGnkIbi8K+2f0WG2afFTgXEv+nn6/vVZBpZmy8njYV6FuReypaKHtirZ0vKdYnJJfawPvaoRzXigCVPJWgTHEgVndmicqvsvePS4PB/3AdtBOXgbjliO253KUa3XStAa3jabEsG/ae43l8WSfw2wZzBXreaflcrHuC3JrSEYLH+L9nNALO4Z2xk4wf3nYsilZmIo/hqd1uHFzVIAt6ngyF6dB27fENjnE5/Uzd4Fx21HQTloKPAaO351lDQ63rc/smdIB91YinTs+UNEceroE5mrdtiuIdF+ndPgf6b8PxIwdR/wUcmyzzm88Otqd1uH2umHHL45puV0xlnAMe+ZyeJ2FyhEzY/CdE2G+h8pHVh+SN3PyfIJ5+O5F0EQ6PPZzz1Jo23vm8vDLVWs8oSJzvqQlm5/umgftnjXHePNre/u0pXJFogtx8sKYa46FKdCkW2oieas4HpLCSCQi8FrjeYw9F982B9qvDtt2NObeZesm8huJ71TcEMXNX7++Jl7XLc1YvuZ8M9hEboC3vWc2D/dUe477nOq6o1KwshN43Rwc92grgfYDwrIKNxxYnKT9jkW7LNxs4u+I4dIMdHIjKm5fktiJCnzw7VwA7eA6U7nWtRyzQzt5rsBI1MzWOxz6tlkYivcykvJ7vOu60Vz8xODYouKEIWs3NjaUHreLi4uwvm5JslV4xzveAW95y1s8P19ZWYFOh3u8HKcYDgfQqDVA1/DllM5uWmEpB5sLMzC/UYf6TAXMZh0a3KYnSwzOXAa44QgUhkMwFkqwtup/z9NCblaDje1zsHC0Cq1yCcxBG7qrfCKUIfQzFqF9fR/K/T4MFosT6SsUAKq7F2D+4AZ0CgUo6T1Pu7hgq9Ua7GWcluo2f+o8tK7vQqXbg+5CeTJ9xU2bk5dh7o41GDAvSXMi7RZPnoF6vQ0z7Q40F6ZhfZ3vxGeMxinbYObWFUZkaLPaRPpa2jsFtWoTZhtt9rwARV8Hgx40Gl1YXa9CPjd+XOnbKjC93oTNoQYH80U4y2jByupo8ZA2tD0zUPlVF/J9A4bzReadvncaYHMjm/uam8lDqYpxZ0J3oQi/VunD9w8Dq4C7CANYSfnZpOkGTGNBpYIO7X1zYKxvwqwJcOoUwC9qADvKAK1aFVK7wqYJ05oJWn8InZNmYbA+IlLPnwf4HtrhDQC26dhX57ubFQGrNdiaJY4itDxbhPxGC/pLU9DdrDrjFTeDZwF+voFehQCDRg1WxnzX5ffMQvnOTTBKOWi1WwAd7z2774xlxYZCjR157OtoszkuissVyFc7YOZ1aOsGwOpo89GN+89jKrdV9CrfqcNKgmaLMwUoNjswWKhAB9XPAe0hzqgAoMvGehdgVwFgZXW0wIuC3FQOKoMBmDkdmtN6aHsCD1oEuOqotfap9BuwwgVZAsN+lxULyVXrkMtzi4WdM1C5ZwCmrkHb594FYX8e4HBehyNdDU4tm7C6mfy+xsGvzQL8aMMi42eHXXn/ORTTeR30bh9aBYDhRtVLhLl/xrFLw/upw90dDfZXTFivBve1AgazJDIKOdaWtlSGaSR+NA02NmuR1bUPmgX4wVoOkJtYMPz7WsJCQ40hGzcaLi6xnXqdtaNtn4JKrw+9xQoMfPonY8EEOLmkw60tDXaVTKjXuyBxtzZpV202LWsQISPWTSgtlEEbGDCYKUVqS8YDZ6y+4h7WEsS4rzunAXbgZmrb+hMDqOM7o6LBjQ0dUATfa3ajPxPRpmHQBdiQxsIpSwBm33ccCdxvCj0wc4AC/G2aASsbMd91BZM96/tzZRjifYhwzniXzp3W4NqaDsx1p92FlZhLxtyeOcg3utDNG6F9FDirhOrAHGz2AXbmsK/ORoeDPjTbPVhb34B83qni08s6TJVykG92obc0DS3XOy0I5y0acM1RywKh1KvD2mpMxVzRhJmpPORrHehtm4EWxpM7EFw4pWzCSsGA1bYJu2d1WF+L8XCSYZowW9Ah1+5BZ9c8dLQBQMA89/wlE358ZMju8fSwAWurzfHmLTNFKNQ6YBR0qIG67ZMKJhwuGXCoacIpczpsJO2rC8Xd8zB15xqY+RxUc4an7QcumXDF4aGVbWC2YM01TxxnXVdeKEMZ/UunilBfKtttb9NM2FMx4c66AXumNahvpNNXGaWlCmsbn9nN6TwM1jbYff3RIQO6QxOWtDasueaJaUHfMwezN7dAQ9uubWU4MDDglk0DtlU06NQ2IUtmSZ/OwdxgAOWCBj+cXYLecAjLuS6sxZw7JUFuvgCFos6yHA7NzsC+dh3WeEahwNAYMt5ppbACOYnEPh5Rx2dcRGhm6tsG8VCtVuHQoZFKzQ+nnnoqFLkRssCBAwfgyU9+MnzgAx8I/T7aH+RyOVagTMbLXvYyVnTsF7/4RWRl7b59+xj5OzeXfSr9scRg0Ic7Dt4O27ZthzwrIJUO8OG+cbgO04uYUp2x9F5Cp9mDdq0Di7sne982DtegPFtmqeyTQq/bh/pqC5Z2z2ZuRyBj82gdipUiTCn8anEXCSdTS8uLie1MVOj3hlA9WoflPdlbL8iorTZAL+RgJuNCajKGgyGLncVd2VsvyKijryNO1paz9Y51j5eNgzXmkZtHdYsLg34XVg7eCiftOgkKhXSKnqGfa8vQoDtVgmWedpYlmLofFWaVIhxuDlmbxbjVjMcAVm9u9EzYMaaHqx/Q/5dV75bSBHHKcbRlMBVMOa2iEeLYzS5rExWT7iwaVIdgMTWVDzHu5q+ubcA29myKfv3RLxE9ebVts6ApxigCrSYwdRyVP2mAKRKRJPJpD4FpfNguqmwnmWa21h6y8TubsEAGm462esyOIOp5s1S+Jt7XZP7HWLCN+fGGFBdzA4vLIHGm8uYddFtw+JZbYOfuA5AvpleQETcVjrQN2FHWs/O1U6DeMxiBuRjTFob5ifYGdgHAWN81TaaG3BbB19TEVFZ81syMfFRNVAgieRpQUV4FXEi2hqZti6BsD9Vk603LKgTHq8siIC7YM7FtsiJcJcXzH+/76kYVti3Op+PxzdEZmFDrm7Ajqg9xSkCrCfRvrUzQr7CH9kZdE3ZW4llGjAv0ypW9iScB9KLEwma7Ff7H/V4X7lo9BLtOPQPyRZ9nHs5L8HsxrxN6uOJzKXGxIuFZi5ZxEee3+Pw/2hzAjnG9PvG9ikW+UFUbod/olYtCRPSTTQV2ETn/tvE5cLQxgG3T+eCCi3HbRe9WfEbL9iISmr0hmz+pfIjHWtfhOMPsALR+cN1v9kxsDGBxCufEk3s+oecyqmszsUCQgWMN31nLs6yvq80hzJb11OfESuBufi7H1jk4j0nNhzgKsK+tIZsPTynmiYPhEFZXV2D/ngOQ50WXj1cgn4iCUeRBw/jEY05bf+Yzn4EXvehFoZ+78cYb4eyzz07cDl6Qu+66y/NzJF2Xlvx9gEqlEvvjBj6U0iSctiKwf6xwABr6p9lXXYdtGXtQqjA1W2Z/Jo1lUd11gihXSlDel22BLxWWsCBDAKzxlG7slMo67JiAf6sbCy6PyklALx6bvs6H+IdlARwj2wP6ioVGRs+ndCaumEI70buKGQs8BfWkucm/T2ZKOebGkBmUBJjGVDCZAJ/vPs/4SlFj1g9+SDSW8P6dFPwuS704RgRf1ZKuwd75yY+n8Rc4mu/984M+Zl/1nckiPqiADhJqbDzxP2kBj4VpzpPGfFLyBRfgSTcVWV8jfhZTWrmnu42ERSlnixqEltBE8YIoLoVV1ceFpsHukL5mMZ6m2CYSTBy7JlAczw0sZLPnGKx4d0xg09cN3DDb6/OcEM8mVqjNbx6ecH6+NK4gBd/Pe7fF+gqe6knzKVxjtKrhRUmjYCFFj/+owBb3pNFXN3YEr1GRRJzNYl2Hn9/tP8ffnUVfQzBd0tXT1rSB/sDCpxnniXMT7Ouy9e7C1isZFz1XYUeAV7luGpnwBFsRcfp3zK/EC1/4QtsXJOjPOEQtAr9/8803e/xH0K923GMTCAQCgUAgEAgEAoFAIBAIBMK4OOZk7aTwhCc8galoL7/8cvtnaH3wP//zP/DEJz7xmJ4bgUAgEAgEAoFAIBAIBAKBQCAccxuEuLjjjjvg6quvZv9utVrwq1/9Cj772c+y/7744ovtz+XzebjkkkvgsssuY/99wQUXwOMe9zh4/vOfD+9+97uhXC7D61//ejjvvPPgaU972jHqDYFAIBAIBAKBQCAQCAQCgUAg3EvJ2m9/+9vwvOc9z/5vLBgmiobJFgfD4ZD9kfHpT38aXvWqV8GLX/xiVnn7t37rt+D9738/I3YJBAKBQCAQCAQCgUAgEAgEAuFYQjPdJq6EQGDVtoWFBVasLKx6270dg0Ef7jh4BywtL0F+gtUYCccnsOL6xto6LC4vpVYQinDiYtDvwfrhO2HPjh2Qz0++mB7h+Ho2ra5XYdvSPD2bCGNj0OvAkVtvhx3bT4J8gZ5NhDGfT1hBu1aHbXOzqRYYI5x46Pd7cM/mKmw/cArki2MWBCOc8KB1HSFNDIYGrK+tw/49+yGfPwbVLyeIWq0G+/btg83NTZifDy7OTpLSmKjX6+xvvMAEAoFAIBAIBAKBQCAQCAQCgRCVVwwja0lZGxOGYcDBgwdhdnYWtON8h1uw/ieCipiQPWg8EWg8EbYi6NlEoPFE2Kqg5xOBxhJhK4KeTQQaT8mAxgZI1O7Zswd0PTh7nZS1MYEXdO/evXAiAYlaImsJNJ4IWxH0fCLQWCJsRdCziUDjibAVQc8mAo0nwlbFifJ8mg9R1AqQESmBQCAQCAQCgUAgEAgEAoFAIGwBEFlLIBAIBAKBQCAQCAQCgUAgEAhbAETWEnxRKpXgTW96E/ubQBgXNJ4IaYLGE4HGEmErgp5NBBpPhK0IejYRaDwRtiro+aQGFRgjEAgEAoFAIBAIBAKBQCAQCIQtAFLWEggEAoFAIBAIBAKBQCAQCATCFgCRtQQCgUAgEAgEAoFAIBAIBAKBsAVAZC2BQCAQCAQCgUAgEAgEAoFAIGwBEFl7guKmm26Cxz72sTA9PQ27du2C/+//+/+g1+uFfs80Tfibv/kbOPnkk6FSqcAFF1wAV1555UTOmXD8jacDBw6ApmmeP51OZyLnTdh6uOWWW+AlL3kJPOABD4B8Pg/3ve99I32Pnk2ENMcTPZsIbnzmM5+B3/md34G9e/eydx2OqY985CPs2UPPJsKkxhM9mwgq/Od//idceOGFsH37dlao59RTT4VXvepVUK1WQy/YZZddBmeeeSaUy2W4//3vD1/+8pfpIp/ASDqWLrroIuWaDteIBIJAo9Fg7z0cG//93/8deGFM4p0gT0PnxMPGxgY86lGPgjPOOAM+//nPwz333MMewq1WCz7wgQ8Efvf//J//A29605sYYXveeefB3//938Nv/dZvwU9/+lP2MCeceBhnPCEuvvhiePWrX+34GU4OCCcmrr/+evjKV74CD33oQ8EwDPYnCujZREhzPCHo2USQ8bd/+7eMKHv3u9/NFrHf/OY34UUvehHcddddbF5EzybCJMYTPZsIKqyvr7P33Cte8QpYXl6G6667Dt785jezv7/xjW/4XrRPfepTbNy9/vWvZ3P5T3/60/C7v/u78P3vfx8e9rCH0cU+AZF0LCEe/vCHw7ve9S7Hz/A5RyAI/NVf/RUMBoNIF+T/EO/EGGvCCYa3v/3t5vT0tLm2tmb/7B//8R/NXC5n3nPPPb7fa7fb5tzcnPm6173O/lm32zX3799vvvSlL838vAnH13hC4Nj54z/+4wmcJeHeguFwaP/7kksuMc8999zQ79CziZDmeELQs4ngxsrKiudnL3rRi9i8SB5n9GwiZDWe6NlEiIMPfehDKNMOnIufeeaZ5jOf+UzHzy644ALzCU94Al1sQqyxdOGFF5pPetKT6KoRfHHjjTcyzuDSSy9l4+nqq6/2/Syt7SyQDcIJiK9+9avwmMc8BpaWluyfPf3pT2eKo6Adsx/96EdQq9XYZwWKxSI87WlPYykThBMTSccTgaCCrsd/LdGziZDmeCIQVNi2bZvnZ+effz6bFzWbTXo2ETIfTwRCHKAqEuFnS3brrbfCL37xC8e6DvH7v//7cPnll0O326ULTog0lgiEKHj5y1/OrMnOOuus0M/S2s4CrWJOQKB3zNlnn+342cLCAuzevTvQV0b8zv3dc845B+68805ot9sZnTHheBxPAp/85CeZ7cHMzAw88YlPhJ///OcZni3heAQ9mwhZgJ5NhDD84Ac/gJNOOglmZ2eVv6dnEyHN8UTPJkIYhsMhq/twzTXXwFvf+lb47d/+bd809KDnE5Jyt912G13wExhxxpLAd7/7XebBjf7H6Hv7ve99b2LnS9ja+OxnP8vW+H/5l38Z6fM0f7JAZO0J6jGKZJobi4uLzKcm6HtIquED2P09NIDG3xNOPCQdTwh88aOv7be+9S3mf4zFgH7jN36D7fYTCHHGID2bCGmCnk2EKMQa+j2+5jWv8f0MPZsIaY4nejYRwrB//35WAPpBD3oQE03867/+a+DzCeGew+P8HRE2hycc34gzlhBIzr7vfe+Dr33ta/Dxj3+c1S7BzMsrrrhiYudM2JrAsYD1bN7+9rfD3NxcpO/Q/MkCFRgjEAjHDH/3d39n//sRj3gEK1aHO/xoTv/BD36Q7gyBQKBnE2HL4e6774ZnPOMZ8MhHPpIVYSEQJjWeaN5ECALa0qGNBhbX/Ou//mt4ylOeworX5XI5unCETMfSW97yFsd/P/nJT4Zzzz2XFZQiu8QTGzh+du7cCc973vOO9anc60Bk7QkI3DGtVqvKHQzZd1T1PfQvwpQIWV2L39M0zd6JJZxYSDqeVMCdW1TW/uQnP0nxDAnHO+jZRMga9GwiCGxubsITnvAE5uH3uc99LtAXmZ5NhDTHEz2bCGE477zz2N8XXHABPPjBD4YHPOAB8IUvfAEuvvhi5fMJgXP4Xbt2eRS3cefwhBN3LKmAdghPetKTWPo74cTFHXfcAe9+97vZ2BF8QaPRsP/GP2iF6AbNnyyQDcIJCFQuur1EMXgOHTrk8S1yfw9x8803O36Oxzr55JNZqgThxEPS8UQgpDkGEfRsIhAIWQK9+VEthO84LK45Pz9PzybCxMYTgRCXbCsUCsxiLGju5J7D439jAelTTz2VLjgh0lgiEPyA3tfogY3EPRKw+AdV2gjMJkGrjKDn080nOO9EZO0JCNzBR49Q3M0X+MxnPsN28zEN3Q+//uu/znxG8LMC/X4fPv/5z7PCUIQTE0nHkwoHDx5kvm24g0sgRAU9mwhZg55NhMFgwKqm33jjjcyTDwtB0bOJMMnxRM8mQhxcddVVbJ3mR7riz88880zHug7x6U9/Gh796EczwpZAiDKWVEALhS9/+cu0pjvBgYrsb3/7244/73nPe9jvLr30Ul/bQ1rbWSAbhBMQL3nJS+D9738/PPWpT4W/+Iu/gHvuuQde+9rXsp/v2bPH/hy+qFG6LnbR0Prgda97Hbz5zW+G7du3w/3udz8WYGtra6EFEQjHL5KOp3/7t39jL3Ek+vFzWFTsHe94B/NCevWrX30Me0Q41ib0wtsKx0utVrNTqLB4AT576NlEyHI80bOJoMIf/dEfsXcWpvPhOLryyivt351//vmsyCE9mwhZjid6NhH88LSnPQ1+7dd+jSkgUXF27bXXwjvf+U723zg/R7zgBS9ghZ9wo0AA13TPfvaz4bTTTmMqNyRqkZj73ve+Rxf7BEWSsfT973+ffeZ3f/d34cCBA2yDG59thw8f9mwGEE4sYAHDiy66SPk7LF73wAc+kP2b5k8+MAknJG644Qbz0Y9+tFmpVMwdO3aYr3nNa8xut+v4zIUXXmju37/f8TPDMMy3v/3t5t69e81SqWQ+9KEPNX/0ox9N+OwJx8N4uuKKK8yLLrrI3LZtm5nP59nfT3/6082bbrrpGPSAsFVw2223mfhqUv359re/zT5DzyZCluOJnk0EFXCM+I0lHGf0bCJkPZ7o2UTwwzve8Q7zAQ94gDk7O2tOT0+b5557rvnGN77RrFar9mcuueQSNr7c+Kd/+ifz9NNPN4vFonm/+93P/NKXvkQX+gRGkrH0y1/+0nzc4x5n7tq1yywUCubCwoL5xCc+0bzqqquOUS8IWxk4/8bxc/XVV9s/o7WdGhr+nx+RSyAQCAQCgUAgEAgEAoFAIBAIhMmAPGsJBAKBQCAQCAQCgUAgEAgEAmELgMhaAoFAIBAIBAKBQCAQCAQCgUDYAiCylkAgEAgEAoFAIBAIBAKBQCAQtgCIrCUQCAQCgUAgEAgEAoFAIBAIhC0AImsJBAKBQCAQCAQCgUAgEAgEAmELgMhaAoFAIBAIBAKBQCAQCAQCgUDYAiCylkAgEAgEAoFAIBAIBAKBQCAQtgCIrCUQCAQCgUAgEAgEAoFAIBAIhC0AImsJBAKBQCAQCAQCgUAgEAgEAmELgMhaAoFAIBAIBAKBQCAQCAQCgUDYAiCylkAgEAgEAoFAIBAIBAKBQCAQtgCIrCUQCAQCgUAgEAgEAoFAIBAIhC0AImsJBAKBQCAQCAQCgUAgEAgEAmELgMhaAoFAIBAIBAKBQCAQCAQCgUDYAiCylkAgEAgEAoFAIBAIBAKBQCAQtgCIrCUQCAQCgUAgEAgEAoFAIBAIhC0AImsJBAKBQCAQCAQCgUAgEAgEAmELgMhaAoFAIBAIBAKBQCAQCAQCgUDYAiCylkAgEAgEAoFAIBAIBAKBQCAQtgCIrCUQCAQCgUAgEAgOXHTRRaBpGvtz++2309UhEAgEAoFAmBCIrCUQCAQCgUC4F+LNb36zTab94R/+Yebtfec732Ft4p+f/vSnMEn8x3/8h902EYfjk6/iTy6Xgx07dsBTnvIUdn8JBAKBQCAQCMce+WN9AgQCgUAgEAiErQ8k897ylrewfx84cAAe8IAHTJSs/fjHP26Tjtg+YXwYhgErKyvw5S9/Gb7yla/ARz/6Ubjkkkvo0hIIBAKBQCAcQ5CylkAgEAgEAoFAOIHwF3/xF/D9738fvvSlL8HDH/5w9jPTNOFP//RPodfrHevTIxAIBAKBQDihQWQtgUAgEAgEwnFqj4BKyfe+971w+umnQ6lUgvvf//7wX//1X47Po63As571LNizZw8UCgVYWFiA+9znPvC85z0Pfvazn7HP4LGEqhaBvxNtfOxjH2M/u+yyy+Bxj3scnHzyyTA9PQ3lchnOOOMMePnLXw6rq6u+KfnYBn4G0/ErlQo84QlPgDvuuMM+N/yMUNUiHvnIR9rfFan7f/M3f8OOuXfvXnaMqakp1oc3vOEN0Gq1HG2jKld8//Dhw/AHf/AHsLi4CLOzs/CMZzwD1tfXPdf0//2//wePecxj2OfwOp511lnserTbbc9nb7nlFnZ99u3bB8ViEZaXl+GJT3wiXH755Y7P4XUT54H3TL4f4ufYJwFs67WvfS27pngOeI1POeUUeNrTngZf+MIXIA7wGL/xG78BT37yk+GTn/yk/fONjQ24/vrrPZ9vNpuMyN25c6fnHgnEuQfXXnst/M7v/A675zjm8BqhUvslL3kJ3HnnnY7PIqn827/927B9+3Z2PbHPr3rVq9i5ylhbW2Pf379/P/sc3s8zzzwTnvnMZ8J3v/vdWNeHQCAQCAQC4ZjCJBAIBAKBQCDc6/CmN73JxKkc/rnkkkuUPz/11FPtf4s/s7Oz5vr6Ovtsv983zzzzTM9nxJ8Pf/jD7HN+v8c/H/3oR9lnHve4x/l+5pxzzjHb7bZ9jhdeeGHgOT784Q9nn7vtttsC2/72t7/NPnfWWWf5fuaRj3yk47rt378/sO1nP/vZjs+/8Y1v9D32Ix7xCLPb7dqfveqqq9j1VX1W0zTzgx/8oP1ZvG7id3jPBOQ+43USeP7zn+97Hu5zVkG+5uKeITY2NhzHuvLKKz2fx/vnd48Eot6D1dVVc/v27b6f/eY3v2l/FsefruvKz2F7YhwjHvWoR/ke8/Wvf33o9SEQCAQCgUDYKiBlLYFAIBAIBMJxiltvvRX+7M/+DL74xS8yVS2iXq/Dv/7rv7J/33TTTfCLX/yC/RuVo1/72teYf+n73/9+pp5EBadQN6Ja1J1Gj39QNYpAVepHPvIR5n2Kilf8+7nPfS773Y033gif//znleeInqmXXnopfOITn2CqXsQPf/hDpvDcvXs3awPPReDv/u7v7LbPP/989jNUVP7Lv/wL/Od//idrG/srzuvb3/42/OhHP1K2jWpVbPeDH/wgU2MiPvWpT0G1WmX/vvrqq+Gv/uqv2L/xXFA9jNfoSU96kn1d3vOe97B/I6eN1wivL+Liiy9m1+CNb3wj6LrOfv/KV74S7rrrrkT3EtW9CFSOfvazn4VvfOMb7HzwGqPiNwmwn69//evt/87n83D22Wd7Pnf33Xf73iOBqPfgiiuuYPccgarXb37zm8yT+F3vehdceOGFrOgZ4p577oGXvexlzFcXVbI4Jr/+9a/b4/Dmm29m4xCB1xzbQOCYwLa/+tWvsnP+X//rfzEVMoFAIBAIBMK9BVRgjEAgEAgEAuE4BaaaY3o6AlPRf//3f99O1UdgCroAkpGYHo82AUguIlEmgCnz3/rWtzxp9DKQ7EViEz938OBB6Ha7jt//93//N7NbcOOtb30r/O///b/Zv3/wgx8wgk2c47nnnsvawXR5gfvd736eth/72MfCX//1X7PvHzlyBPr9vqftX//1X/e0jSTtU5/6VPZvJPiQiB0Oh8yKAMlt2SIASUJMqxfEJBKxCCQwkRD/6U9/CjfccAP72a5duxghjtcXCUv8+ec+9znmB4t/I2kbF+JeIVl62mmnwTnnnMPI9Oc///mxj4V9kcl3AbSjmJ+fj32P4twDecyhVQRaSqB1Ato+vPrVr7Z/95nPfMYeQ0h8i4J2eN6f/vSn2Xj+t3/7N/j7v/97RjLj95EQ37ZtG7P9wDGKPxfnTSAQCAQCgXBvASlrCQQCgUAgEI5ToFJRAH1BBTY3N9nfSGg94hGPYP9GVSSSgDMzM3DBBRfAO9/5Tg/h6gdUNiIR9+EPfxhuu+025fdEm3HPMQzonYptoyIWFaBuknCctoXqGPH2t7+dXSv885SnPMX+OaqT3Z994AMf6CAlH/KQh9j/lj8XBy94wQtsv1dUj6JaFD1h0b/10KFDMA5QmYu+uXjPk1ynOPcArx+OO8T//b//l3kcI0GMfrc4flBJ675O6L0srv1v/uZv2h64qAzGjQH0yEWVLgKVunhd0DMXr9Nf/uVf2kppAoFAIBAIhHsDSFlLIBAIBAKBcJxCTo9HlaGAZUMLTEGLaesf+tCHGMmFClAs8HTllVeyP7/61a9sFWUQsMAVknQITKPH4ltYsAzVlFiYCiFIuLjnGAYsPlar1di/kWRGlSsSil/60pcYGZhl24jBYBBKaqPqM+hnqOYVcBdjE0DV8n3ve19mJ4FF2fDeoL0E/sF79z//8z+OPgQB7QPQWgItB5aWlpgSVdgPJLlOce4BkqhooYDjCu0ScMxhoTcsAoZ/sFDYn//5n0NUYPEzQegikYuKZ7RnwE0DVDvjnx//+MdMNU0gEAgEAoFwbwApawkEAoFAIBBOUCDZhkpaVGeixycqJI8ePQqnnHIK+73sM4vEroCb/ER/UYE//uM/hqc//enMqqDT6aRynlHbRhISrR+w7TTUlML2QJCBeL3cf5AsRDsC+bNInCKJK3DVVVd5jinbDSBZKRBEKqKNxb//+78zNS+qmdEeAHHdddfFUuwKGwskVtGGIIiojYI49wCv2fbt25mX7+WXX85UweitjONQHnPy9XzTm97ke+3x/AWJ/OIXv5h5+6I9w8bGhm19gf6+gtQlEAgEAoFA2OogZS2BQCAQCATCCQok2dBrFslVTB3fuXMnUySKAlCyYlRWV6LvKhK6mOr/4Ac/mBW9EsAiY6eeeiojzNDDNA3IbaNHLJKL+AcJQbltLD6GhcKQHMXiW+MCPXbf9773sX+jQnh9fR3OO+88ltKPylYkAbF97DN6qqKPLCpdkYB89rOfDX/4h3/IzgWVxwg8Nyx4hUA1q9wntKBoNBq2EtWNhz/84SytHy0VTjrpJEbWCo9cRFTLiiwQ5x5gobFXvOIV7DogaYwes6gUFtYGsk8tKmzxv9F3GZXISC7j53CMYkExLBCHqmIEXj88JnoNo6obNx3wcwgkdvE4VGiMQCAQCATCvQFE1hIIBAKBQCCcwLj55ptZir0KwgcUgZ6ioogTWifgHwQSYujhigXKkKREVemTnvQkm2DElPdx8chHPhL+9m//1la44h8EnstznvMceNvb3sZIPCTuBHmXRttIjKICFK8PErRyASyBSy65hP2N1+ZjH/sYI7+RSEUFLP4RwN+/973vZUW1EGhpgOTjFVdcwRTIr3vd69jPBeHrBpKPWBAN/7iBRDuSyMcKce4B3rNrrrmG/Qkac1h07AMf+AArEIZEK3rqBnnpon3Hu971LuUxH/e4xzG7BwKBQCAQCIR7A8gGgUAgEAgEAuEEBRJYmGKOpBeSraiUxWJNSPyhKvb973+//dn73e9+8M///M+MTMS0fxmzs7OMoHvUox7F0tlR+fnWt76V/UkDT37ykxkRh+pJty8rFqhChSsSq3ju+BkkNF/4whem0jb24ctf/jI8/vGPZz6seI2wf6jqRcUn+vMK4Dn85Cc/YQQufgbPFVXB+F08x5e+9KWOY3/yk59kRGK5XGbWAH/yJ38Cn/nMZ5TngWQu2gugihV9X/E8Dhw4AC95yUvgv/7rv8a2MhgHce4B2hugp+3DHvYwpuTGa4RjBhXaf//3f89+J4Df/973vgdPe9rT7M/i34JEl4lrLACH1xJJXhyf+ActEl772tf6XlMCgUAgEAiErQjNjFNBgUAgEAgEAoFAIBAIBAKBQCAQCJmAlLUEAoFAIBAIBAKBQCAQCAQCgbAFQGQtgUAgEAgEAoFAIBAIBAKBQCBsARBZSyAQCAQCgUAgEAgEAoFAIBAIWwBE1hIIBAKBQCAQCAQCgUAgEAgEwhYAkbUEAoFAIBAIBAKBQCAQCAQCgbAFQGQtgUAgEAgEAoFAIBAIBAKBQCBsAeSP9Qnc22AYBhw8eBBmZ2dB07RjfToEAoFAIBAIBAKBQCAQCAQCYQvDNE2o1+uwZ88e0PVg7SyRtTGBRO2+ffvGuT8EAoFAIBAIBAKBQCAQCAQC4QTDXXfdBXv37g38DJG1MYGKWnFx5+bm4HhXEa+srMD27dtDWX8CgcYTYZKg5xOBxhNhq4KeTwQaT4StCHo2EWg8EbYqTpTnU61WY+JPwSsGgcjamBDWB0jUnghkbafTYf08ngOGMBnQeCLQeCJsVdDziUDjibBVQc8nAo0lwlYEPZsINJ6SI4qlKjFwBAKBQCAQCAQCgUAgEAgEAoGwBUBkLYFAIBAIBAKBQCAQCAQCgUAgbAGcUGTtm9/8ZiY39vuDvycQCAQCgUAgEAgEAoFAIBAIhGOBE8qz9oUvfCFUq1V473vfC1dccYX98wsuuABe/vKXs9+70e122R/ZEFh4tOCf4xnYP9M0j/t+EiYDGk8EGk+ErQp6Pp24wHlOFN+wtMbT8NAa6AszoFVKqbZJOH5BzycCjSXCVgQ9m44tcJ4xGAxgOBzC8TKeer0etFqte3W9pFwuB/l83nduGYdbO6HI2r1798L+/fvZvx/2sIc5fnfyySez37vxjne8A97ylrd4fo6V6rD41vEMHEhIbuOD4N4cMIStARpPBBpPhIwfMlC+7k7onrEbzJhEGD2fTkzkD29A5fo7oX7RfXF2ndpxg8bT9A+vg97+HdDfvwMmguEQtIEBZqkwmfaOY5R+eRDMQh56ByZ07zjo+XTsoVebYMxNYUUYuDeDxpIaWrcPWqcPxvzUhO/IvRs0no4dkKBFESGStbE2nJEoNJFR1LfsmBLiyHsrcO6HZO3c3Bwjbt2o1+uRj3VCkbVJ8LrXvQ5e9apX2f+Ng2ffvn2wfft2dgOOZ2CwYPBjX4msJdB4Imwl0PNp68NotMFYq0J+/67JtLdWhe5KFabPPgC5HfHIFBpPWwPdH1wLWqkIxQefM5H2OtfcytYs25eWWbtpIWg8tUGDmelpKMQco0nR/9ktMLjxdig8+D6QP3UPHO8wOz3o/ejnUPyN80ArpktQd6+9A7SKDguKe2ds1gEGBujb5lNtkx2b5uMODO88Aka9BYVzT0n9Wiuvf60J3cuvhdLjHwb64izcm0FjSY32574N0BtA5ZmPnfAdgRN2PJnDIfR++HMonH8m6LNEkse97rfccgsUCgXYs2cP+zsqYWtsNtjfmOGzFdHv91l/7s1Ebb/fZ8JOJGVPP/10T2yUy+XIxyOyNgSlUon9cQMv+olAYGLgnyh9JWQPGk8EGk/HljzVSgXQCpN59be/egXAYAjFUyZDEA2r1gRUA+u9FRf0fHLCNAzoX3sLFO5zIFUiMwjGXUfZ3/pDz51Ie2atabWn6aClPM/xHU9ou8DnkVlicOdh0JfmAVpdAMOE/tU3QOGUPaBtUTVNWhg2O2AcWQet3QO9nLLVBFMkqbPNejfeAWa7C5XHPBiyAD2fRmj/8Gfs79L9ToNJwDRwSwdAM46PTEMaSwr0BuyvY3F/h0c3QCvmQV+YPaHG03C1CsY9KwCnnQT6/MxxYYE0KaBVAJ4/ErVTU9GJbmbPVOyxf+cqFZg0jHYHNLQH8FmHCEVqkIXAvQVION9xxx1M+ewmZ+PEyr3/jUMgEAgEAiEUncuvhv5Nt0/uSg0m66FlbIi0ImthfbzB7PWlPmaP4eF16N9wG/R/eddE2jMnPF4Yhoa9QJgYsKkJNNe96gYY3HI3U5oyIOE0yX4eK/A+ZnFPTRwvfl5z5glyfY8xJvkM9IDuLyEDdL75Y2h/5Ucn3LU11qvHLK6GR9ah9blvM3XvvRmxNxf4xtOxAL6TzVYXjEYLTgToKW38EFnLd4QIk0Gj0YHr/uNHUKu1J3rJf/WDG+CWr1490TYHAwOu++KVcPCutYm2e8d1d8BtX/gBTBo3/OfV8Kvr7phom0fvWoM7P/Mdlm4wSdx0+U/h5h/eONE2G7UW3PGZ70Jtw1KCTQq//NFN8Iuv/2TisXP9/5t87Nx8tAGf+Mk9E2kL05CaOFHs9uDTPz0E1x3OdgGKhI3ZaAP0rYnp4XoXLr3iThhkVEDSjyj5+s0r8IPbNrJdxLuabnQH8MEf3gG1jqWcmRSuvGMTvnyDpRRNA/0bbofOd64J/MzQMOGfrroL7t4c31Pf5EplfboykdjBVGOGGN6qLHYO1ZMTb/Z/RF/AjB87yUi9OLHD4q8/ALPTZc8YyHPPtJjtHqvYuSqN2InZ10ixg4Xj/Ba7CcnaSb530ogdVNzjnyTA2PnHMd87g9sPsb+1mUrM2FlP3KZ9X2Pc3ySxw9Jnbz2Y+PqmFjsxIWLnrs3Jru3Sih17Q2sC7x1P2xHJwjRiRznebrwdjFYnu9gJwHCtdszmbMNDqwDdvkNUMKnYMfsD+5pPPHbEeNM0WGvGG/fjt22NXUMj+jEO6GoBwNLSEnz3u9+F66+/PtbFI8THyu1H4JRmHRqrfDdtQsgdWYPihHdy1o9swin1KrSPZkNM+KF351GYb092wtTp9GHfxjoMViZ7XzdvPwTLvS50W5MlaxeProG+Mdm+rtx+FLb1OtCYsKokf2gFyjWLtJkU1o9uwoHGZGMHF0it62+DO1MguaLu6kOnB91WF2480oAj9W6m7TE/RWlO/MuVJhyqdaHTz4isbaqfQT8/VIdDtfSvMUvtssla58z/zo02HGn0YLOd7nOi/Y2roH+Lv+r0hiMNuLuaXl+N9ZqTYFRgpdmDuzY7sJrCJNzgZK1N9AXgpqPNsWNHjFF9bjrS57sDw4qdRne8/sXE2LGTUEUUK3ZwnKCKBTdpOj3QYhbcyzp2wjBW7CS8vpFiJ1BZm0wxzWJnI15fTaz+vZZ8DjJO7PSuvhF6V92QOHYOjhE7qL7v38rJuRhCG4wdbDcxEowpfB7GjZ3hXUegd8XPmSdvUqT93okXOxMWTiSInXHfBeO+d7xtNyNtPowbOyqYrQ70rrmZ+Zr74bpDjfFiJ6TOgHLOliB20iCKJxU77S/9ANpf+O4xiR2RwTTUNOiFzCcza1snkWQcEFkLAC95yUvgm9/8Jrz61a+OdfEI8dFZrU0842E4NGC+i8TBZKX/tSMbxyS9o9xsgjbhvq4dXLceJhPuq8ZN0s0J9rdebcKMMZh4pnWPT2omGjuGAQtdLIcz4dg5PPnYGdxyF8yvbUwsHVoQU6uNnrXGz7hZN5F5iJPDWTWLxKIb9e4A6t1hJn1lqmGhkHA1cDCDvjJlxMommA31xN4wTThc66baV2vMBB8QSUR2fin0ViwioxwK2x03dkz+PNcikMNCaTRO7IgiG1bj0Q8yduyY8VMRY8dO31IkWcraPmhl7jkc82JlETthwNjBa5x4OCVQQUaNHcsGwe/3yZS1LHZiXuHBr+6BzteuhO6V1yWKuyNjxA4+F9Cb1z6Xu474q41Tjp3BbQfZJmfu5J2RTz7pewcVj55+xXlO8I2VOM0agkBK6Cs/buzge61/0x2xlb127IzxDhiubkLvp7+M1y4bx2m86/i7oJjPNHYCiz2FeLZmMWcTbftt5qHCtdYdZDNn6/XBrLdSi53Ym/suC4ax3ztx2peen2nEThJl7bFwdBnyeQlWlgjCP//zP8Pi4uJEzunegBOOrH3lK1/pCYi//uu/hk6nA1/72teO2XmdKMhX1cqnLFFdqUKRF/SYJAZ80jXJB2K/P4D5Xhe0CT+Em0c3rX9MuN3plvWiNye4Obhx0CISJz2e8mIyOdHYqbHYmfR9nXTssInbZgMGQ2NiXTU2rD6ucHVG1u16yFp7gphRe+u8PamY0WHRZhbtBSjOs+irn4pXYKPVhy6Op5QaZQpJnOCHHE8sctKwJRupjYIPhmmZRxvWAnas9sTmmxmXXEsGk2+YxD3I+OMpvgQzbuwg6SKKCuLiLClZm3QhiZ9H5WcSH2IWO4MUYid2XyPEDi50/SYc7HsxSVcRO3GJxHbPJm39shiCIJRySa4ws9Xg38Tx1f3eT8FY5XPAjGMHicTcvp2gz05HPnk7dmI22v3RddD+8g/AQEIpwQZAktgRVjBJiwCOEzv4nfbXr4LeT24CU2zURUQa5Frn61dB//pbI39+YJhwNCVyzd64i5CePU7sBL6HQjYpM5nH8La1KXVl+iyJRHtjwmpgYu2y42JM84JyZtrvnbC2e/2JEtOe9gfi/TVJmRMHV/K+6KUvZhak+KdYLMLpp58Ob33rW1khrq2MD33oQ3DRRRfB3NwcO/fNzWjvvXFxwpG1hGMHfADO8vT8SRbzqB4SKj2YKIr1yZNra4c2IHcMiETTVtFNrq/tZgfmB9ZLz5wgW9teEcS0ecLEzqTH06Rjhy12hRJtErvqhkUOI1aFWiJzZe1oYtzpD2GdW4dkNV2z25M6djDLiT8uOrgqRj4+/jtNtamjPX7ULIhE3/ZCDpjWgo4tKIQKIuRYRxs9GKZQWynsmrphL3IStjtEwl0o2CIeJJXYic/Vxo4dQdYyTz58hpe5cipGu47YifO9To+leaLyc3CH5S8aB0kVZMPDa9C/5W6JWIvZbpS+ouIw0LM2Xpt27Iyz4E+wMzNO7KBS2/6eUGBGUGKOGztMJV5rQn7/LmtSEvHkk5Jr+DxCUqf7o5/bX45zvZLEjr1BlvDRMo76cnj3iu1THvf+jPveSeLRixvdSWIneH5kZv7e8SWKA46X1ZwtrFhflhlYzMYll1Ney8zFBLKFzISyzQSGLhvIrPuqLJCZUuGrWG2jaE6yXXj84x8Phw4dgl/+8pcss/3Nb34zvPOd74StjFarxc77L/7iLybaLpG1hImhXmvD7HByhIhAnxOJk0zlZunjnXRf6FHQENYLE2amK02RLju5dtcPjgzvJ3mN9YQ+h+OgvtmCaWPyqSt9e0JzfMeOmLDGWP+NBbPetHeYhT9ilnvcOEGzizdhen595MmY2WQYFyBIhJnOtHXWZhbtbdRBX5wDdwOY/trspR87Ysz4HdOe+JuTUfKyz7B7m841jmMRkMZigxExqBxGL7OIBxqHhBcex/oSHzMRjzFu7Nhka8wvx76vdrqhBVtZG+NaOWInZgEotgGGD9QEytqk46lz+X9D76rrR9+Lo2iMEDssJd4wHcQS/rvzw59ZGw3mBJXLSNaOURx51Nf4imno9bxKU3mDrD+AocJvftzYER6TLGZj9N3ua8yNCjaGdc1SEseMW7ReaCSIHZEWnnQ+MM6zWN7QjdO8M3aSnbeRoD5BWupLZmm0VrM8YyMca9y++m/E+h8vqznbiCgO2XQ2syFMVe/fpLETB0PZpmtC2WYCIgtBm51KJXZiwfaM1SdPFQwNBw9TKpVg165dsH//fnjpS18Kj3nMY+CLX/yi4ytf//rX4ZxzzoGZmRmb3BW4+uqr4bGPfSxs27YN5ufn4cILL4RrrhkV4MXnAhLAJ598Mmtrz5498IpXvML+fbfbhde85jVw0kknwfT0NDz0oQ+F73znO6HZ+X/+538OD3vYw2CSSGaKQyAkJNe2i/+YIONU4MWRJmkNsLFSh4pQe06wryL1eJJKyF5vAAs97r8zwWvcPFqFBf7vSapNZ5rcY2mCbW4cXINt4j8m2G7+GMTO5modyhOOHQdZO4FBLKsZNlEtkS9l2lWm1hHqK3OkDOH/mTpwcYuFK/Sdi45FWNqKFPdCM3fyLjCwcJvUQFZ9DSNP01bzhilgEKi86aHUKIVnoqO9qGTtGH0Viyd9aT7SjeoPDVaYI8LpKcGI4W6PLRatMRPte2OPp2Siz9ix47YfEGQtfj/q/MDR1xgXGX1Fc3u2M6Vrkos09nhKMCAixY6tIh39fnD7YRjefggGs1OJRkRiBX5/AFqpYFWxj9lfjB1U9LJ24zaMJLHpHcjyNRvccRh6/30jTP/+Y1ONHeaDXsxbpFqMndVEacaoSEdyAe+r3E7MjSTrK2Z8tXTC5/dYG1iMnNatcR6jfWfsQCIMDq5a/4hh/5BW9gor9mqakNu9jW00ZRY7ChjNtuRf6n/ALOYxzJPZ3sT3azfDDfa1KuQP7AZjZcM1Z4sfO0nahlLBinPeRBYZWMq2hWWMaaYSO25g0TC/Ipk41sz+EPq6AfrQgM0UU3G3TRehGBC/dnExbFDR10qlAmtraw4V67ve9S74l3/5F9B1HZ7znOcwcvWTn/wk+329XodLLrkE3v/+97Nx8u53vxue+MQnMqXu7OwsfO5zn4P3vOc98KlPfQrOPfdcOHz4MFx77bX28V/2spfBDTfcwH6PRO4XvvAFRgj//Oc/hzPOOAO2EoisJUwMHZE+PkFyzTAMmGu3wZpiT45xqh5ah8oxINdK9Sbr6yQl8+uHN2AWjgEwRU0QbGkYNEZAq9mBuWHfaneCBGZntTrq64Rjx2p3srFju2dNnKw1J9KkTISJ+5rlELZ9yebQ588qomAR0xlZEvD+odLV4Gr/dn8IG+0B76uZfqGKZgdyi7PgdCGzJuBp91V4HPP/UP4eF1dpKrWjqG/EYiONdpH81uZn7LTYINjXeIw2GRFTyIOOapOGuuiIDFwwY8wkjR0xRu0xE5WEGTt24in0osaOgQv+4RD0mSkfZW0pdrty7ES9xrgxhPeydO4pnKyNd42E9ULc8cT67z1Y5O9Hih2RwslJWzzX/o23jTwfVzdjjwnR17hjmBF7xQIrtpXEeiFp7KAFgvUP8QPF7gP6+iqqjI8bOziucDMHvQKZsjbCMeTYieUd27LIMW26YqldY57vQfH8jxM7jmyGWM2NFTt2+80OI8IZgZcwdpLOYxxp6VHb5eNp3LkTkrUYv/juCev3uO8dN8Rmtr4cvEmZxZyNjbdRGoJP7PQzWXfg8xqJQ33bvKf5JLETB5gNgc+S3M4lGLJNAnPs2Inn5V5LNXbcQKL2H6+4CyaN/33BPtgzp/Y+RhiYcaHIiMBrcvnllzMV7ctf/nL75/1+Hy699FI47bTTbHIVfW0FHvWoR3n8ZBcWFuC73/0uPPnJT4Y777yTKXdRsVsoFJjC9iEPeQj7LP7uox/9KPsbiVoEEsFYuwp//va3vx22EoisJUw0fbyWL8Ac+oxOiPuprTeYSm+jUAJ9gr6mmD7ezOWgpJiwZoXhcAgL3Q5UC0VY7PcY2Ya7UVmjfngTptGCIV+YKDE91Wyyvi704ytLkmLtnnVYQkIxjyqlyfU1V22wNhcGvWxZPQm1jSZTh28UiqBP8L72VqvQ1HNQTOBhlhSCuClgyiOfPLAFYVbtbdbZ4gDVpzkwYWmqkOluPvYPF2EasyWwJqW4C47KxExUrkgs5nTQkRyWFpEIbNfMjBye5Yt45yIn7b6yxTuvqKtCtTOAVt+A7dNFGKYQr8zGotpgZLuJBaN8gIuchXKepa6P2ypbzCzPwaDaCFyoIXl4xHGNk8WORcRgenO0Ryv6UKJjwmIlWeywMSNUejEwduwksEGIEjv9//kFI5gqj3mwdXiZrMXCNaJ4TZx25fsa8TuMoNU1yJ20PVGafo3FzjB27DCyH4HKngTXOErs2PYH/LxwDJnSpg1rLg7BPEbsmD2urOVtx8GhMWLHKi42atP+vkN9Kn7k7M+4scOUeKdYC2u2tWrGjJ0YbeLmH0KfqcBQJi9jKGvjxo6jUFyCC5Q0duT28Z3N+hsDzthJ9uZhNk2lIjI00T7P08fHfe+wYx1eg9yu5UjvnnFiRwW0C8FNUZb5ELIRm/Y8hik8me2Qut+HE8ZOHHKekdQIl7I2buzEASueNzRY24ysNcePHYgT470+m+vgsxRjZ76cZ22ntQbAa4fEqadtfEdVW2ystXsDKJiorC3AtulCKusdbDdMyd0HHfhbC7785S8zewMkZZGveNaznsVsCwSmpqZsohaxe/duOHr0KAgcOXIE3vCGNzDrAvw5ciCoxkUCFvF7v/d78N73vhdOPfVUpphF1e1TnvIUyOfzTD2Lnz/zzDNBBlojLC8vw1YDedYSJoaZVgua06PF+yQLJLVmpiaqhMzXmlCvTGWmXFNh/UgV8mBCa4Zf44m0aimwaoUiDHQdtAn1tdvtw3y/J42nyRUXw33mdqU80fGEsTPp+4oKVwS2O8m+FjB2pqbAZMKZ7Bu2VJlt6Gg6I2vZzzJu0/LKtPToOOkv5KItPMdqjxGZOEc1YaXRgz3zltLOzKq9+ZlREQO0Xqh3WT9xYpj6xB+JN12zlMOad+Kfdl9tpXKlpHz4CA8ybDeNCThTOhmmdQ8DjoeLq91zJS46S94uTqpRdcMsCdgPglUcfcMc+xozctj2ogw/yuFahy0OCjk9sT+jTe4jIhwE0wuTxg6Sp1jJXqlEDEGU2GGevx0pfRTJWiy4l9MZqWevxeK0K8dOxIssYl/DwjEJxuGhhLFjrFdHCtf4XG202OEbNIK0dWycWKxprEbHip1eHzQktxLMMQUJnyR2vMpa1Ye8N2Cc2GGf7/QsJZ7wuNSiHcURO3Haa1mWALJ9iPMf4eMpbuzYRHhCJI0d1jZ6MXNlrfUDM2HsxDtnu9+dHugLmPkT7TtrzT70h+O/d6yN0Kal8Izw7hkndvxUvbkdi55NZhnjxo5v20c3rXe8vMHljh09fuxEJmvLRet57ep7ktiJXdhMcxLF48ROHKA3MoI9x0wpdlJcx6IVASpcPX+mi7B7Og8758uwY7oAe6aRqC2qP5vgT6AFgmky2wVD+swjH/lI+OlPf8psC9rtNnz84x9n3rECqIaVoWm4ThpdJLRAwO+/733vgx/96Efs30i09tBTHQD27dsHN998M3zwgx9kFgt/9Ed/BL/5m7/JyOFGowG5XA5+8pOfsO+JPzfeeCM73lYDkbWEiaDZ7MI8KmrtAjATIvW4Ss9kKYCTaRN3iOY7bTDmZxnhNCl2rX6Ye0MuWCTQpKwB0HqhNW0R05PC2sF19vDS+MR9Yp61m3XYLJfBjEgopIFmnRfmm3DsoPVCi8fOpGwQmPWCiB38wQSaFamHR/LFEVmbYbuikJIohrVtqgBahlfYLqTE2tNYVWFsS6QrZaOsbdjkMD8LRvzsmi2BztTL6TaK5Km+MAsaI4dHE39U+qDKddRXMz2lMi40GFmrVn1OF3MwV86n42vHyWF2TX0OKNTLu+fKY48nkR6pL4cX3xLKtd2zYnGV0OO42eFkdLS4PyQTBPGbHMWETdaGf+dovRcvdpja0vpQ779vgt5PbrIVe3GVtWGxw9Lie5Katj8ErVCwximSejHZWk/sqNocGtD+6hUOWxdHob8E7M2hhLEj/Pr5mfG/IpJkUWPHtkGwPoGZEYzoYO8NXpY+gWI6SewIZW0SoEVL0tgZEYquayydvD33NMeIHXe73OZCmy7HGluO2InRKCMusS1R8DDGJkurN4TNkNhRttnpA+AmB/uP+E+1pLFjtd21nvnCRiXi99N47yBZitDngzcjVR6uOI6t8xjDzx/7zdZN4WNqnNhR+ofWW5ysZT9Rfm7c2PGdF65sQG7Hgm8GBIuduRLkYsZOVLI2Z1uasDMaK3bitq3NzViZZinETuy2p8r2Rv9oHpP9Kkt4xvb4xDzL7EEPhIe+eL4BMGL29NNPZ/YEqHaNix/+8IesYBgqZtGTFouIra5y72sOJGlRTft3f/d3TIF7xRVXMFXt+eefz5S1qMjFc5D/oHXCVgORtYSJYO0eyzR6aufCRMk1TB+vV7AYAU4jJoPqRgumjCGUt8+DGeHlnxYGazWo5guQs9UWE2hzYDDrBY0TQZPqa/PIJuCjv8LJhEmNp6lmC3qzQr03ucJ8iOkJx04ebUt47EwK1Y0mi53S9vmJjSdU2BmaBo1S2X4hZtmqTWzwTRXc2R5XCRkERihg2hVXEbZ7Q7b+3DnLnxMp95b5gSFZKxY/ViOjRU4GzyZGEPHrKU/8UX2J2CMWdGm2ZxOLCkUKTsCRIEiJhGfk8HQFNPSo9DkgLnDaA2MshZMjpVzTIpGn2NelSgEqBWsSbo6xYWKTpyEnj+rwI42eNJ5iqsj6A7ZItvsX8RiYshgndir/cysMrr3FofyUGox8vlFiB8k7uUAR9lEr5JhXrVBg8pOOBE/smGqCB8cKIzzk2Leva3xGI2ns2CnkDmIt2hGixg6S0w4bhFZHUobFU9WqYyciuYwLX8OwngfsB9HbZbFTHyN2bGWtm6yVP+S9/nFjx48kFmOZEQ1mzNiJ69+K99Y9D4lCEAuVXkwiEeNXKHmTkrVJ3ztCJY7vmTjtp/HeYc8PfN/MoWdstO/ghihmJU3FjB3fd8/CTOi8ftzY8Rxvg6ssmcLT/+KNGzt+z0smGthuEcWqvojxlPZyR/i2jjaDR31PGjtJLJ5sUkCQpinO2YIKqbJ+axoYhsliB4nprL1yrcaHbHMRszkmStRKRLHO4zUNnHHGGaz4GKphr7rqKnj2s5/NyFmBj33sY3DZZZfBddddB7feeit84hOfYL/fv38/sz/Azz/3uc+Fz3/+83DbbbfBj3/8Y3jHO94BX/nKV3zbxCJlqMC95RZrXofEL/73+rq1Ts8KRNYSJoL2USt9fH5HeFplmphtt2AwZ72EJ/Vo2jxoEdMLe5Z4NyfT2UK9Ac2pqRE/MgGP3vWjm8x/ZmrHgqUinhDMjRpUi6XRg38CpF6n02f+uDlOTE9KbYqx09MmHztovWDHzoTa3OTWC4sTjB0kwnAslUt5ae5mZkvW5nOwiR7PALDMlLXZDWHbzxXJTM0qGrFjBlXE1us/7XbNWosRCUjYiPlgtz9kaYts4s9SmVJsz00QSYt4XNCVcjoscy+t1LzeBDnsq0jpMEXKuKSpwNC2sRDKb/XCCjEiJszxyOG5aTuVPcxLT/TV79wiKYeZjQW+v8JfJOhlNzBM2D1bTnSNHUrlGIsW7Guc2MnVWjC48XaWdmlgXLDG451sd2BEih1G1A4NZmHBgDYIhTzkT98L+VP3xLJ7UMaO6kNcySvatOw6rNhHWAko8QnMJLFje/QydWusJqPHju1Zy20QHISeaDsOCe+OnZh9FcramNYL48QO2J614mTsswoka+PGjh9JbKuJI4ytqLGjbK/VBh2VteJ7MTYA8PlfzGnBsaNqs9uTyNro5zpu7MibHUk8vBHjEJjMjx3b5aq7KMewFYni/BO+7swqboSWLZVlSMbc2LHjMxdkfQ843rixo2ybF/zObefKWtdBewOD9dcaTynP2XBjAAUEwoZAuuxJYyeWxRPOp7BtKatmnNiJpWbmRRKxz6JYKCr/sxRs2BgM2ZwOydqc1NFJLO+MwRD6aDWHmSgpcQWXXXYZbGxswAMf+ED4gz/4A6ay3bFjh/17LDb24Q9/GB7+8IfDeeedB9/61rfgS1/6ku1Ji4XEkKx99atfDWeddRY89alPhauvvpopff2ABc9QlfuiF72I/TfaKuB/f/GLX4QsQWQtYSLQNutQLZdBE34lEyDXGptNmDaGUNw2z6i1iVkvrFWhredgBv2XEBNodsisFzpgYCqwvaDPvt069wRe2oNltyZ3jcuNFrRnpllqG2IStePWD66xd8zMLu4vNSFo1TpUS2XQeF8nEjvVJsxg7CzPsdiZFDHdWxnFjjmp2NmowyG9ANMlTMPJfvLCiLeFGVhpWovP5Uo+0xQoRkxhISW+8EQbBJaymNFwQqUyQiYzj9a7rH/YrqhnkQU5PPqhaXvH7porWlnKKZHwSBqgWtm2eXAds9EdQL07ZMoQizc207F5cPirej+Di42ZYg5mcdNhzMWVpYye4f/l/1zHxQYqYXDRrIv3TtL2kBy2PY6DjyIKn1j3Nn7ssJR5HZVcXE0VoU3WLutrtNhhKjlUYuoa9H76ixHBF1P1eSRC7LBjclUtKmxHyto8FJCsPbA79jsrSuzYpOHA8Bb6Q8S0C8LYqXUHiWKHkdWelPVo348cO0JZy+0t2HOAKWtFW9wKIQKUsRO1uz0XcWnGJ9eSxo6vslbehFBc/zixo263Z40nO3U5/EXijZ0Y40kQ8SJTI+Y1RgImF/O9w8haoYKPeYHGiR2hJIZiYZQanjR2YrXKm6o1LY/7iIMDr6c1niwiMcbpejDKAnKShlnEjt+mr2UF4N/4uLHjp/BkRWfZePPG0pGGFTtpzmPcxcVyNlk76nvS2IncNr6jmMUTb5tZL4wXO7EK0/YHXNVrKWut2MmlMp4C28b3Fb6/8jnoY3G1SbN/jKzVmH844sP/8I/wH//xH74fRxIViVgZT33qUx3jAUlSJFfR7/YXv/gFXHzxxXD77bfDK1/5SvvzV155JVSrVeZRixYIj370ox2euG95y1uYqhZ9bg8ePMhUtve73/18zwsLoLFr6frzh3/4h5AliKwlTARTrRb0sFBRgDIoq/Tx+d1LE7VBEOnjbOKS5TadhOpqDUqmAZXt3AOIEZjZtztYr0EtX4DyVGli/rz9/hAWemi9MEqzNsGYmPXC0q5F1ldtotYLMzZZO5HYuYfHzp7licZOrjbZ2BGqzEN6EWZwsRFvjZ8IwtPxCCdr0Sc3y111eUGALXT7BlcaWb/Pwj+WeXIhkcAbOVLrsJ387TPFVNIHfclhhKv6uFDBINJo1aHKVCxynEqj8RUpBno1suIrTg9gv3RfxDh+ekz9UXXZSvgcbLPdZ+o1tsixvx+/TYxBTb5/IQdB1Scq0suoSkownlhxMVYEC5Meo62AByIFNmLsCI/N3Mm7wDgiLTpUaeMBwPEUGjtImoofC9J2YClrbcS8QVFix7Zd4Mpadh8x9kV6fsyBKArzxY0di6weeG0BIvc1WuzYqmUEFmSSbRDYB6K3qYydSN8cXXetGJ/YOzRm7HiKYKm+b3vWmolix69dq1CeFrnAmDd2YhQdxRRxLFhpb1aZMVWfGDvxNrCQCLeVtTGRNHbstPRDq1Z/YzKCntiJS8IbPCVe9rgPOcZGewAdtF5wjKeUNiYD7vG4saNs27HJ7P1MGrETZuVkHdf0vGORV9s+k751FWaaMDWzPNbN8WInFlGMG7WSmGC1ke6cLbBtVlzMsr3AsS82HDK3QUCiFud2us4ez2KDcBLAfmq41tL1UbuTWT4fN9hSZC16P/zt3/4tPOMZz2DS4gc/+MHw+Mc/Hv7kT/4EPve5z0GzaZmQE+5daHd6MI/p46jSm2CgYoEkrPC+sDw5GwR8ec+02jBExY7o5gT6WpUVrhmRMIHWCzYmQCQeXgdMlprZuQiaEGJNQFlrYnGxYhkKzHphMi+6drsLC4O+FTuS/+ckYqcrxc6kMNtqW9YLAhn3FXe6cRKxkiuy4gIjZW1GO+uYpowqkoVZOMoniIgs9znkSTlWT8YJm5iUsnNKuWFjQ7YkGKk00G8tz4jpdBUELGVfkMO8TXwOdwZDWGv1U+8rU2awlH3uXe3qDarlynmd+emlUYRkpFbEuAhW1uIiBzHOxJ+RjL3BaAEboPixlUbjkDC4gGAF4kR74ec+LjHt8ByOOCfBatzDGLEjConlTt/r/KBIpY941jiewmJHqGkdykeurLURY+4VOXa4slZ4uRrNtjeNOsZARIIgUezItgByezEI8Uixg89PAcMAs82LUInNtpikqSd2oiow+f1OUmDsUH282GFFsFTn6rjuzg2JuLGjbBfHtey9HIEZjBI7Khho54FN4IaOkLNH3GQRsZNoA4uRtfGtLcaKHRzWtx8C4+gGFM47TbJRSxg7cRW9uNna60Nu17Lko2lGLi42jnUVK2yJ6nhU9UZ4Ro4bO462h0NrLuiwb/IeMY3YCS46q+4Ms16YLWUzZ2N+tSNlq8iIGCt24rSN4gWWjq/Z1zjNOVu4mtlqB7MrnOPJzNwzFtWtCCwaF7D3ny6G3uJixNbey8hafGh8/OMfhwc96EFw//vfH972trex6mw7d+5kHhJYIe7yyy9nBO7u3bvhhS98IZM5E+49WLtngw202V2LE1UH6sx6oQI66v0npA6s19owawyY9cKIrM2+r73VGjRyeZiZm5qYshatFxY6HTD5IttSQkLmqB/eZM0s7V4CbSIloSxUGk3oiEq5E/JxXb/HIuHndk44dqoN2JRjZwJt1qstmJFihy3/M25XEGHt6SkooloiniArceVhWJiBo82efT/T9gTzFlKyJuXdocGegztTUKT4wSLepAJDTFlrpbaJn6TZV9bekqRO4YuewzXr+orCJwgzrfbYIl73XeRYBIyWjvrG9rXDZzv/oeuY9e4AGr2hS+FkjulxLC1gTX+CYK6Ut1Tp6lMLBSM1B0OXMtr/ILjAYSn69niKqSKzPY7FQjXaiSNBECd2kATA32MxEX1pzqM6jPp+Zv7HIbHjKCwmlLX9oVNZa38gvF1l7KhsEARJLDxrhdJUIOacIGns2OQlKk15WiI/6dDvxoodSVnLfBdNcBYYY+ny0c5ZGTsQ0wYhZoExZr3geBbHf+/YylrxPeF7KB/Hdf3jxo6y3Q76ucrkdPjYihI7KhhVi6y1lLX8i67++gFVkIi4Pt4snZZ51iYrrDTOe6d/852Q27Md8ru3xVLWqmMn3nkPD62x95vO531W2+F9xdRxFjtjKDCH3LeVFdlCBLBXacSOZ4xhOr6tblWP5zRiJ7DorP1D16YzL7iV9pwN33sss0Uma/m1TBo7cVW9zrYB1tCbN8U5W5CyVrTdGWL5cfQ/Tmc8xSkuxojaSSprB0NrLpRPr7jYiQbFTG6yOPfcc5lXxCWXXAKf/OQn4eyzz1Z+rtVqwde+9jX41Kc+Bfe9733hQx/6EDzrWc+a+PkS4qN1dANwqbK4cxEMIYGcAPmDCtfqNuklPIE2Nw6uwzZmvWC1i4/jSRCJhVoD6pUK7MT/mJBn7eZqHcqmAWUx0bFeudk2yit5VgtFOKlcmJiytt8fwHyvC53F3Ym8+JKiubIBM6DB4q4FMIQiawLjeLrZgtryKHYm8Vpfd8XOJK4xElOtfAGWFrCw0ShzIzOylhNh1VIJemLdj2RtRj21Kx3zSTlOEEt5DUp5TP+2m08NuKBm6aMuZS1Ohu+3fykTBQFeUyyiNIK16EEVDKpCtk0X7UIOaUzCnapM7zFxkXP2DmuRnwYJL8jvka8dwtsmYrRoTv4kZmMGyWFRFZw1Z/p6x8ptBnw0oD0XOcwO4v/59VYfekPTrhYdd4/Q43EccdGCKr3l6ULk2ME4MJFM0HXmGdtbt+w64lyggWHA0UYPHrR3Pjh2HGTtQFLWSoujGBZUythR9bHfdyhrkXjPSfOBKKnq7vF0VoLYsW0BSgUw8DLHJIijxg4S/QIGkrU4bhMWGIsaO6goHdx9FHKn7Hb2FzdvxeI3YpsbY8aOOB9Hm3bboyOJMcY2IhPEjl+7tp8rQg8+iDJ2opL/vOCVhtdXXCRFP/3GE8bO9umiHauRWkXlG27g2H2Md4GSxg7CqDehsJcX5olB4qTx3kH7hdyupdHmJyKCYlpW80b4irrtI+tWVg6q4+WjmdnEjnsdg82NVL3qhtOIHU/bSm9xZ+ysNLrwoL3WJmOaNl1mrcHGuu1Xyxpgv0keO3HEC6hmvs8pVrO83+uNHuzeJ/qakXACN4nX61Dcx1bpzCMXpT/2OM5a64TFxfJ5ll2H1muO53WW7fLrbhUXy8ba4kTAMVfWvuENb2DGwG984xt9iVrE1NQUPO1pT4N///d/h+uuuw72798/0fMkJIe5YaWP5ws50AS7ljFajQ7MDvtQQCNvhskoa9srmyx9fG7Zegmit2nW3BqSeHOdNhiOl372pF710LpUXIwT0xN4ChcbTWhNC4VrbE1KIqwd3LCtFwQmsi+JsVMqQT4/wdhpdmDuGMROh8fOvIidCfDSw40aHMkVrcXGBKqjoqJAm52CQy1rp1k0lpVnLZuUaxro89YiDn3eMN0LkYVnrd8iALu2J4UUfU97SIihn6ukELE4fmvijymwsopgbEWKrcqUlMNSZ9r9IWy0rfRxcS5mmuSwfSLO/8S+VvI6LJTzY19jYUkw8oZUR78pFUiSP2YmGTNYAI8rMi2FkRmhyIs8nsz4HseuDYVwZa1EEESIHSQuTU685M/eD+XHPJg3E131ebTeY/xNWOzIylrbs9bPBiEClLGjOl1BDKNyBj1c212J+IgXABg760ljpy/bAgjWNNo1jhU7osAYfqbRsj6P3ouCaGGq3vDT9Y8d75cH96xA78rr7DRW9jnhzxsz6MaNHUZW4/gqjsaVksP0KGvjxY4ScvEt++z9z18ZOzFUj7aq1k2ihao+O7BzhsdOjLR1oVge2SBEPNkxY4eR72h7w+1LRuLSlGNH1fZwCMbqJrNAsE887Dv83R4ldsKA1g/6jkX7GeeXuZJG7HjaRt9WzNAJKZiXSuyo3rmYii+yIFw3Djc50PEljc1fN9CfGOHINuEDNmnsxCLIWWEzZ1YNEqdpztlUQJIY1a2i37XOkDW/UBl/zhbaNr6X8P2R1y2yVhR6nxBMu7iYaHdyqt7jBcecrEV1LEu1jYEDBw7Awx/+8MzOiZAuKs0mdGfFji9MJJVbFBeb27UkqQMnkz5eK5ddYzrbduubTagYQzt9fFI2CMJ6YXqukkhFkwTDobBemJ1oXxtHNlla/vIeSfU5AWK60mhBd2bCscOLi81hYT7WMGsVJmNbMoqdbGlTC8ONOhzSC5yslXmbbNplRNjirJXGxxc4TFmb0XBi5PDcNGi5HFPIIVmLiytEJpNhVEli0SZhF8KhayYjf9Ke+I/IYdfEn6s00lDfeKr5oirTUQzLqW5C2BP/MduUPY7t9sB7UOHhKi86ky7onDYWavWwWOA05RRYcc4xOyzI6DByWADv63w5zz2m448n5nE8XRmlkEcwaRTWC6O+hscOppoa3FOU9U0sVOziS9FS5VEEExY7tg1AuWgVR8I2BsltEJSxo2pXeMXiOO10rWeZbIMQsT13gSTRbmxlLd5TKWU9WjGoGLEjk7UdbgeA19ixwRDepn/sKD4sSFrZgoERpkjWihajXaiDY8aOIOcZaeredJBPXhrjSWLHX1kr2SCEPCeUsROxTaPWGCkexYZcxE0WNZEYXbEsbBDiXKBxYscQmw6zLgFEhO+P+95hVgCGOUpLj/CirneHLHZshWv4V5TAZxfOj3KSACNI/DF27CjIWo+61NWJtGLH0/Z6lc2ZHO9c0zmGhfWCz6mNR1LjnFR6N1lLDD8SPl0LBJY1JOpiiHGb4pwtKkld7fYZAZfGnC0U/B1i5nLM/1goXCcB3OBDG72hrjMSnnAvJWvD8MMf/hD+6Z/+CW6++eZjfSqEBOj2BrDQ64ImfHlEsGZMOLVWNqGnabC4Y0RgTuIxMdNsQU8qkDQJtSlaLyAWbXJNqMjMzK0XGhW5mEj2fV0/sgkFMGFq+4LVYkqKuSgKTLReKEqLhazJ/163Dwt9TCnn6Tn6ZIhpjJ0+HIPYabWhLxcXy3g8IbmgdXpwNF/kvlHZKmtHRR2QrO3Adj4RztKvSpDDiLVmn204lDlplMVkmPUPU/bFc543slwp2Lvq4ypS1H6u0nNI02A4NGG1aVVQlk7DTukeqz1JlWkr6jgO1rssxQzTx8Xvx3kOC49jrwrU+TnmpccXG9bHNJsviU0Oo6rMTX4HKI1G1zjZs9gao3J7wfMDubhYhI8rN2gcSuUIai6MHVSkeMdTiA2C7LHp/lIkO4IuG0thscOIHlQ7lopszHS/9z/W5/PSgjhiinF/aChjJ8izlhXLQR9E/LzLszZqrON4Sho7tvUDI2tlAjFau1FjR9g92ER1DjNeRg/SqEXGYsWOIGmltlHdquH9jjIQfQokJVJC2urPELJW+lmS2PFr26GsDWHplLETYUAwf8VGGzSejSKIrBEXbwbGzgr6X3o2Cc3o11bMMWPcGFXsGFFjBzcg8Z0m1WOI2r4qdmLZLwgLHJkYD2lbFBfbNe57Z7XKvuSwbREw048dx+EHAytDx0HWerXfacWOZx666iKKrV847iuOpaI0V0xrPekhqXkDmCGqip1x52zuthlJ7SINCxokip1xSOoqV9YKZOlZy1S1msbWdYhJkrX2ZqOjuBjhXk3Wosr2ec97nv3fl156KTziEY+AF7/4xfCABzyAFRoj3LuwfsiZPp6WwikM2kYdqqUy5ISahRVJyrbNZqMD8yx9fPQiQhuErDvbW61CS8/B7CJXYIq2MyT1hPXC0J5kWX3NuhBV/bBVcGvppJH/JT+hTNst19F6YVrqa/bE9NohqzDfzC5OTMNkgLGzWZ587MxNOHYE8VYvV2AOVa4SaZOJZxUr6jBgZKaoUi0ay8IGwSrk0IAcJ6ZwkYMtlPhELQsVsUwOy41gapv9oxStYVihCuHnKqHZHbAFjUe5NnZ7dcvjziYNnJ1BZS2qUXRbsTFmERJVsS+G0UFbvSFsdgZ2uq/4WJJ2PeRwSHrmVCFnxU7Cd7tdAE9W8rquqTJ9XN7oiONFyTZMasoxGoUg8I4n//NkyloktTy/FO8qM5avKWvX79Iw8q7ACLzhXUdheHCVpfc6U00hErDIS+TY4Z61MDCsQnE4Vh02CBDTeiFh7KDSFDdt8J0lKWvDDhA7doyhk6zlWQr2lxhRHH66cWLH9gOWyFoD1faYrRbD2gLHJBtPEWKHEZZ+mwI2Wev+paMx+++4saM8d1zwY3FMWVkb4C8aK3bcbfFNB114dtvzkPANAEwft6wXEhCJ4triuyXm/HKc2GHKWnx2iGsb0VosjfcOEpbMG1ioLCM0bcWOzlSujq/EfN8NMSWeqSxH83q/zJU4sRMF6F3K3rMewtT5n2nEjnITEa2j3ESxi6x1EtPpEIn4DGNzRNtibdR+sztUx06K02JjDQububOwAJamCqnN2XzbXq/ZJDXGTqtvFfuVTyWz5Q761WJxsaHJsg1yrvdGlsIufHZjT/PiXYkgge29m6z9wQ9+AE94whPs/37HO94BL3zhC6FWq8HFF18Mb3nLW47p+RHio3Fkg6m5lnjRIExxZo+FjEm9qeYofXxSz4eR9YJrpzbjvqL1AhJOtvXCBBSYtY0mTBlDKHOF66TQX6tBLVeAKbEg5C+dLMWmg8EQFrodWx0+KWXtsYydnid2zMnEjiguJuatGfYVFXYDTYepRe7PKZHDmfnH4n2tVKDdN2CnWOSgZ20Gal7mqYgeWYKsrXchn9NBbKprKccOm4hXGw7iTRzbQdamOJo85DBrQINGd8Aegzt4u6Mqvym0JxfCct04zyIHVRrjkLWbdediVkFQuFNgR6dljk8OK9TD7r66/f5i+ccKZZWbPPU5RLUzYLHjIWFiLFSRFFEpa4NOG2NnsZKHCi/YFbqQRHIJCS/J29OrrA0+16HBU2DdCnxVv2yy1rIBwIV45bEPAV2kNsvth6Vx1zvK2FGNY4+yFtUztr1EvBXoOLHD/HklWwCJrQ38XuzYkdWtgwGzl7FPlvF50ZW1qthRqsiEMolvSLMNByS5mK+06GZ4mxg7rYix0/7SD2B4x+EAZW1Joag11WRt3NhRQLQ7Kr4V7C/qFztRxhN7RuDnKyV13AScuLBeELFjtRttHDMiHC2EWFEz9hOIClXsRLYQqbdBn3Vmpli/CP5eGu8dkYnjbdsMLS4WKXYC27Y27RwbvT5kcZzYidQ2puPndNdcwnvT0ogdpaIY37ncNk+0bUqxc0SyXhCnlsY8kfnFy7YXEuquORtrN8V5MSt+22wrCpsBbJsqZEqasrkxjnW+eYqx4xajZGmDgO9n3JjoGQbLNBitdzJpLsSvlpAEW+rqrayswO7dVsXT66+/Hu666y74kz/5E5iZmYFLLrkEfv7znx/rUyQk2E2qFkqO9HFrTpvdU6Lb7sH8oDcyEUewBcdk0scXePo4wqqFmy1m28708TR2X8OwyYuLLfLiYlbD2VdTK9Yb0BDFxaTJS5btbhzZhLxkvcAbzvzOWoX5SlCUFr9ZE5jdTp/Fjtv8P+u+to/y2NkuT+KybRUnT6uFIuyeH1UCFgriLK6wVUipAIe4GE2k8bGnRAYVaN0p+7igKxdydjtp2yCwAgo4EZeIMPRmROyYTraQDGwPybBaS0HWWspanPTLE8Q0JsOeYl9S6mJvwNPHUyBN/dvjf0sXEAmCYk5j6pCxlbW8AJ6nMJXiWHKBJMepJSqAF7xotdu0PYElNVccFZm7AJ6MQGXtyMNVnCL7is/nhQLRdFxHVzshJ41jaWCYnnZNP9IUi7TxeVZuR8Amasi1wr4qY0eltJQ8a41WhxfbGj23rWJxEIpxY4d5uLJr7fYXDf5e3Nhx2CDgNbezTyI0ljB22EIbIRS2qGAeDHnMRH+IR40doQoXClPH74T6UybkFeNZFgrEjR0V7HaVnrVm9NgJaFWMby9Zyz8Qga1i9kaS9YLdboQHlFFv+mZsZBk7qKx1e8wzhLSfxnvH9GTihCuRvcR0QhsEVeFOnzE17ntH5Z2Kc2xNrm2i2E1OI3aU6fiVEuhifAvwttdaPegbpq1wtU8thZkiKluRkfXbYE8aO5H9avHdL5G1qDRFLMtjOIO1M8tYwloHnJOwNnWc66qsFL2sKCRmJeRzrL8Ys9Jv029QPjp2yI+sDWn6n//5n2FxUWFRcoJiS5G1y8vLcMcdd7B/f+1rX2PE7bnnnsv+e4hVIzNOdSakj3KjCW3XRMAinLK72msH19lDcFYyjhcbSRO1XmA/zLavjWoLZoYDKGwbkWsjb9Ps2u2s1qCt52BmQbIGyJhew/ifx+Ji0sJe45c6S/K/dnjTYb1gNZz9riSLHYmYRgjxTlZYO7hmxc6uycYObLqsF7CfGV/jwXptVFzMpSDMJA2KLw4O1nswU8zBjFT1OZMJIqbsV0pMBSUqKJeYQsPMxAYBlcoIWS2y1rLInO0zsndmShN/Zcq+mPgPJTKc/3jM+8qUGe2uVwnEj8nUEm6l0RgkvKWgC1/MIkGAfRVpfOxjCbcmlQtY62Qc/9nsDaDWGVVQTqr6Ye3NYwG8aClyuMiZLuZgtpRLNJ4YWVvIswJjjgMEQMSOPJ7CYkcUvDK5IspqxpXxEoE0Reyac1mIKL4olLVC1aqrfBijKmtdfWVf9Ttdm6y1lLXalIsAiNAe4khjzNjpCWWtZEcQoe3YsYOEqSBYmGetHltZGzt2XDYIJj73xHM2hrL2UNTYEcVoFOQkU7giYYpzTDchLn9cEJ+GETt23OjfdAd0v8s9mB2etf7MlW/s+DTZ+59fQPcH144Kx+F99WQziLlB2KaOO3bCn8VGsw2DX90D+VP3jJqMOPbHiR1GzKMNjbxGi/yc8IkdM2Y6vqwuHZ2Yb+ygytWpmI50us7DDwZW4U7ZK10+mpkwdmKoWz3qUtc9S/LeiUwUb/O2LRq3Y8dj+QBjgxU2Q9sqt38p32BPEjtx2mZ2H1J9g9WW9Z52bjhkIJxAohg3pfl4w9iZq+Qd9zIzrRN/bxi6zlTTBUfxc46s1ln4DuHFxdy1xV70x//bytrRNCgWi3D66afDW9/6VhgM+JxiC2J9fR1e/vKXw1lnnQWVSgVOPvlkeMUrXgHVqrURcMKQtWiB8Gd/9mfw2te+Fv7mb/4GnvGMZ9i/u+666+CUU045pudHSJI+3gVYcL4QraJb2bEwzaObgOG+JNsRTEAdyKwX0EfMQ0xn19d1rnBdcFgviIl/du3mq3WoVSquFKJs7+vmWgNKpuGwXrDvasakXjVfgIpjIZqtUhtjZ76LhfkmHztDRexk/aKYRusFV+zEUZfEBVMr1ZuwkiuNJv4S8ZaFKl2k3R12FaoYedam3d6IeNtoD6AzMKx0Ot5O2qJ0psrElH1JdbXGJ8MlaYKYloLAUmUiaeElF9us0rqzKv24k3D/lH2+yKl3mcVEWml8dsq+6/1p/dKtXHMtchKMp1EBPK+fXFiBJPYxcZy4abCqBbPPyYvYcag3Y4xhYWPhVH+KE1cfRMSOQ2kUFju2slZalMZIpxbjCReRZUyLDosdybMWkVPZE0XwN7VSYHuRY4eR0vg7LEznLgAVsU1BwseJHVbJHZX80nlYBbdcaoAIxHSs2EHBCL+nzHpBJh0EURuhTYSacFJ811bWDqFyza+g//NfWRsOWMgtor8oazdq7Ij2FOIYVLiOPFXd19jBNLG/akliR0L/5jug95ObmP9y8fwzmXLbcfI+B/KNnYCNP/R5RoIan7tsk1OcqFtZ63Pi/rET3tf+dbeybIbCfU7xZGykHTvu7C22AenIGovUrGUzoYqdiOfNPGPZ+9TrIRqeWaEaTzHeO5t8w0ORlaNqP3LsRCxs60nHZwd03rXNMWPH9x2PZK2rbfkxjeNpqVJgWVhpr3YYUaywQMAWWl3VnC3F+ekaesbOOe7hkaZlr7LI/Y+tM0l/OYkZxmxTmj+PMHbmK85CglkINoKLi2kTLS7mriuBePzjHw+HDh2CX/7yl/DqV78a3vzmN8M73/lO2Ko4ePAg+/Oud72LcZIf+9jHmLD0BS94wYlF1uIFeNzjHsc6/8QnPtHhUfuFL3yB3VjCvQfrh6308emdzoVDxoJENgGpFstQcC2UmHdURursdseyXsi7jNMtG4TsetxZ2YSupsP8dklZm2SrOYH1wkCyXpgEqgfX2N9LeyTVJyeBsiSm0XqhOeVKE9MmFDs7Jhw762i94I0dyDB2OsK2ZMk5ieM6lkzaNKpNZnmwUSrBothVl6xSUveswkJKjTZbHNgEgTTzRnVK+mStVXwLcZgXqqgUc9LkMFn6YBz/2NU293yQkJpKA/1cZ0cTYIEBE9Y50/jsdsclh9Hvy7GpMDqolT5egrxMTCdYSDracy8ohTyBH687MGC91fcuchJM/Fl6dX+gXsAq0jNLeX0UOwmUtawAno/nsN8x1ORaPBsEr3I4eAUsYsddcIV9xaedkbI2rzgJlRRxPCKRkZWFPOT37oTCA87wkqbWSfMP+7e70ujB0PSLHef3mNIT0ysxnRYXZULd6m4zws05HDN2+jffCZ3/+olXWSwIjwiX2C92mGjU54vYZ2ERYvaHDmWtfZ4h3Q2MHVWbA/7eHQwhv9Fg81u0QLB8B+PZIESJHba4d/vzCjBC3vIGtr+m6rdIqW54yTWhxIwSssNDa6DvWobyw89jRKZHHCC3H9rXAHsLjFdmq9NgZBrz5LW/595kUR8DK9lj7CQhMPFdnTtpu9N+JuIzLW7syBjcfgigXITc7mX5jEO/i7Gz1vSJnajP4pUNVqhOVjqG7T2w2Mm5YifBPIYV+EIRglvVa7/DzFTfOzKGaAXg9owVMP2Li7HvJLR8sA+PG1yDoZoo5p1xF+Zz/Xq8OXC16S0uhteEHTxZ7MQiqV1rDCwIiJBVn6MpVnoTcpkgF7EzImsz1jphcTG0QDB4cTG3xDXDdSWKYgzNVVxMQqlUgl27dsH+/fvhpS99KTzmMY+BL37xi47PfP3rX4dzzjmH2aEKclfg6quvhsc+9rGwbds2mJ+fhwsvvBCuueaaUfumyQhgVMBiW3v27GFKWIFutwuvec1r4KSTToLp6Wl46EMfCt/5znd8+3Pf+94XPve5z8FTnvIUOO200+BRj3oUvO1tb4MvfelLmSuCFTPJYwe82B/5yEd8i48R7l2oH14HXNYuyb6mGEDj5qOGoNJE6wVXgaSMBZjrBzdgwZU+bjWcLcOmbTagWi7DkpzaYBOY2bRZ59YLbUUqjfD8zAK9tRo09DzsnJ/22CBk1dkhs15ow+r2pYn2FWNnaqvFjpmdbcmkYwdJGzx0YXF2lMYntZf6zjpXZXamp6DebVmLHHndmXKbqHJjihlOTB2sd1kKH/pGCa5oHCLRT5VZOPNk+2dY8AMnpfwD6fufrbuKk3CgV6FuAquOLcMKneTtWsVQZmybGfugvC+4oHOTXPbEP8H+zihl3+mTZx/Qx3oh6ULS189VVfiEV8Z2pMDGfMea9SYjhNTqJlNZgKTeHcKeqCn67vaQjKk3QT97v6I9/4OI2JkpOa08Am0QMF0cP+SwdxBfEoWi/M8VYwcXzY841flM9LVBwJT8YoFdy6LKxsL6tjhp33ZRQYafUseO2gJBqxTBaFhEv4NsEt+MmKK/O0bssOebKDolefbag0Gl9nTBN3aClP/c+4/9WlbWOojwCCS8X+yovsqVrmIDAGETHhE35mPFjm2DoFDWdriyVrqvI4GtdCT+byQwPbFjfyR8XOB9dahpPWfv7UDc2JGv7XC1ypW1XrsF+3oEqD7xk0nsd3CjTDtp++gHukT+pxw7NgyTFZHL79/l9U4VX04SO5HOGmC4ssnsWpQEvM9RUDG9ay5G7PjAWNu0iou50/EVGPe94227yqxEHFY8YlNA6oTyvcP/TjqPsX1b5ZoUVuOsMxg7eI0fcUr02ImjLkW4RRmIPlqBmcliJwqYBzdabrhIalTCWx+Q2pQIcS0twnKzAfnT9zliZ8F+xozEE2mtAXCuIzJP8G98Lw8aHSjiPR707CwJfNbl8j0wegUYplAATJ9ziidwQxMVvVGLi6G1wNqaJcpCtFotJuL8l3/5F1Zg+znPeQ4jVz/5yU+y39frdVbP6v3vfz+LiXe/+91M6IlK3dnZWUasvuc974FPfepTzFL18OHDcO21lt0N4mUvexnccMMN7PdI5ApRKNbHOuOMMyKdM1ogzM3NQT6fP3HIWsLxhcF6naWP75EnPvZcOhsWpt8fwHyvC51Fq1CdDdkvLgM9efPIBuASaVHyyWXtZSzBnG61oL7kfbFChtd4/eA6bMPNFRe5xojEDJnpQrUBjakK7JR+Zu+qZ9TX6koNSqYJZUfhK6cKM6vYqSljJ/okPvXYyajd1tFNQH3D0q6FicUOKlnw+m5bmFJOv7OwJMAV1CH+yrVSYEfX1SLXzEyLi7GFVRcncKZnQTcu7JR9KaVxo9WHnsKfMw1PMOHnWtiDTyInUEFQKehMvSaDtTtGm0wFqljkYF8GhgFHG1144F7n70fPp/gzf1XKvpucwfua1zVWmMOrDozbXs1aRLoLj7D2nP+J7Z65w7Wp4zy1MYp9qQm+kQ+lKlXSjOhx7ENGW2eeiAzxJX8YeaggIkLSqUXsdIfO6uNBBaHURKkLEUgNTIFdni5Eih2zz4s+oQqx2gQTSWhuwyB9MficYBQ758eJHSQUkXznz05hA+FRBQb01S92AhX4qDYV1xnJO/s6SV65IUMxMHZURLxN1lrkeOGh50LhgHhHR2OqkLyMGjtBylokyG2vXDchLh+Hj/E1VvjKmZUUZ1MHx5he9MngsseEmTh2bPBra6xuclsAhedzyAYAKiHResEdOyxrxqdZdjS0EOn0QJuqxN7kSBQ74rwabYBOD/In73L+IgL7GRg7UUh4LEi4VoXi/X0IETMgdrZN+zyLo7/xkJTP7XQJMBwHMxPFTlS/2tzygjctXIumDmenF7tVqbgYEmruDAh2UNOKnYE3dvQUrKsYUYzp8JLYRt5gV83ZwmInVmEzeZOLt7nS6inFBPaPUliCsHkOZs/xtvG+5jQN5sp5YG9QSTyR1hoACdrOV69w/ExEqrtsJM6G8OmXhi60/IQLIMfnyKwvQywuloNphZpXBn728ssvZypa9IQV6Pf7cOmllzIVqyBX0ddWAJWtMj70oQ/BwsICfPe734UnP/nJcOeddzLlLip2C4UCU9g+5CEPYZ/F3330ox9lfyNRi0AiGDP78edvf/vbQ/u7uroKf/VXfwUvfvGLIWtsKbK23W6zjn/2s5+Fu+++m0mU3cBCY4R7B0qYPu4qkGRhzHzUAKwdtEhTt/VCkuIncYCpaZg+Pienj7OGcccwm0bbzS7MD/rQcaeVZEyudVaqzHphYZtqkZ1JkywFf7bThvXdO5wtpsk4KVA9tAHY4rJcXIw1DJmi6BM7rJtZxc6hsNjJpmFzo8ZsS+bzk4sdq7hY0amEdChr022XqTLnpuFQow/lvA4LWFxAIhTSVtbKKfuiUMWv7Z0H6I1i1LGgS6M9F/GGbdqHlifDKTwmfFP2OVk7XfDuyI2j0mCLy2oD8qedpPilydLpkJ9QpY+zjyTQaeA1ze3yKvrFEQVBgF6F7tS2JCpiYRHgXUQ6iYNOfwjr7X5IX6O1h76b7pR9P7tGHE8YO4u8MMfo89EWdPYY9Ul9VR3EETvyV0Jih3l7qiwBHPclgAype9PHxal6voWkmmHafrW+iEDCsBRYl7pJnLqHJOYEFyP3cV6O1niF+DYIGDvDmLHjIBRR6SrIahchHlwMKn7smAamlErXmSvz2DzEUiHY7ao8+kJjR9WssEHg6k8WM+JdGXFeezBO7Ihr61LWsgKLtg2CNBADbBDWmz3Y6yLFYr13UFnrHlOjk7ePoyWNHZf3MlPWdnuQkzesPJss6mOoyDX29ZC+ouoPobv9eCNcnySxI5Crty0rANcG5GjcJoydqCpLzKrY4c6m8g8EFjvMtsRLwvt8RQmmKMTiYuee6vmdqgZGrNgJaxuLLa1VoXD2KANJbl1+fiR570Qhaz0WCOzAmiN2PArXFOZslg3BrFPFLc/ZiunO2dxt43tKR59vjpVGFwaWwsglJhA/SoetZUSxjpYbQjjRgZ2zRdBdGwNpXGMBXGsgcYpzZANV+zMVWO0MYLaUt72I8Zlntrqwli/AYqUA+ZSUtTbw/WGaMMhpCusF67+//OUvM3sDJGVxjf+sZz2L2RYITE1N2UQtYvfu3XD06FEQOHLkCLzhDW9g1gX4c+QHUY2LBCzi937v9+C9730vnHrqqUwxi6pbtDBAFSyqZ/HzZ555JshA3nF5WbaFUaNWq8GTnvQkuM997uM45xOCrP3jP/5j+Nd//Vd45jOfyS4AVogj3DsxHBow3+3Ayk6v8oknAWbSbuPoBrNeWHaljwsw9QeEp74kSR/vutLHWXtWo5AF1g+uKdPHPR5bKUOv1r3WC6xh/F9G97XagiljCE1VFdPs+EvorVWhnsvDrlk3cZqdDQJaLyz4xA6fymXSbuNISOwoqkOngUqjBW2F/3FWsWOl7DfgaHEWHuQga7NV1qLqFCdqolCFTGSmXYHWStnHibHGKo83WcGtEsCac3LImk+pPXfKPk78p3kKn0zgpTEBR2U0wk3WYhqfNfH3PuPHSeVjXm9or6AsvmUtrFj6+Iw3jY99P2azdsr+Oft9PmD9he3uXfCmCSe1QcjtdW6G8YM5rhqm8SHGXTRbymFFyr6PeZscO852o7VpeRxPOck2GYqDYPqrHTuuU2Rf8WsMlZ5IannOVCJ9AizA8b7Ol/Mw7SJglaQptyMYVa/3QYjKlaWP17tw9g7vs1ip+rFtEEqjDSAPYRy+Ak0UO4JQxDjBhSD+N/OsdX0pRB0YO3aQHJayXTR5geuwAVCv80NjB8JtEDRZfeajLlW1GzV2mBex9Dc7hfXaSKlVKjpTtkcvstEx+O+6/QSx47H3CBnXCosW/9jxUS4PDcjt3gbDQ6vWZx1krasdxTFE7JwVNXbk9ptt63MSkRS1wNg47x293rZUlu5NcnGAgO+O+95BBTNuJvtnOXhxmKesj6s2FVYAOZVnrOLCxYmdMJiNFns3KItsSWxd4vdO2IbzRh3yp1gqQlVn8L6i4lO2Xhj92hy/wNc+7/xCzNlm3EKnFNWmw3VvYTMk4Udwzk/ZT1KajxvYNs7F+bvCjh3XAjKtwrvsWPkcU7garQ7oaIEwNw3DZh+KuMHCzwM3pYxCHox8CXTp5xMpLsb/85GPfCT8wz/8A+P6UN0qrATEPUc1rONrmjMDES0Q0Dbhfe97H/O9RV/aCy64AHo961mxb98+uPnmm+Fb3/oWfPOb34Q/+qM/YgXMUHnbaDQgl8vBT37yE/a3DCSQg4D2C0j+otUCWie4z/O4J2vRpBf9KVDqTLh3Y+NoFSqmCVM7gl9KaQN9DKuFIux1L5QyVNb2egNY6HXh6JIrfdxqGLJC82gVpkGDRdc1tpWQRnbWC41lb5pYlmnrG9x6YXH3knooZVT8qlBD6wWFOjxDYnrjSO0Eip0+zPe70F30TiDNCCm0SYBKFn0wgPXpEixPyd50ozlbmn0VhZTQG+7QShfus3PGo2BJq5CCo7jYtgVvoQppETialI7frkqViZPSbSJN0kzZ/wzJYUXKPnrkIhc2p1TWJp8MD31UmWJxKvpaVKSPI2ITpyJl301mShtx/aHBPCEffLJTCS8+ZiYqgOct/uFeleIip6BrztiJJtx0gC0cT1UolX3CHsl/ETvudqOMJ3VxseATVxV5kU/R37MWbRDUytoofqq+Kj1VXwWJp0ptVTTvd4MwdnpDb5EX67sqGwRO1palceAm1vTw50uS2DF5MQ/c1BD9YkSxrQoNVkEmjh1WYExa2EkFxpwnq2Zrk8SOTZrimGJteot/hhPiHTgnauwolLVC/cm+g0p4boHhOGn5MGJD0IwfO5HtPRQp66Gxo7q+XCGeP3UPDFc2rII8MZW1qPjE2HErXK2vB88UkVBxk7WsxQjP0XHeO7l6C/Rl7/i3z8Dny2m8d5D8Z/MFhcrS78RxDKP1gj2nGJ2p31f8iWKcO3gEGDJZbCaLndC2OVGsJGtHnUj63gmtm4Abzqq2+aaa8NP2/HZMMQFT5Tfbyn5j7GBozSrJ2vFXWVZxsRoU7nPA8XPs6xI+h9edgyftLFwsKJfjCvJR7MzjRREnmN3SbsiLiw2tNQbGjwpZLCnx3TwMKC6GwKJep59+euI2fvjDH8IHP/hBpphF3HXXXcyawO2Di2pa/IOC0LPPPpupas8//3ymrEVF7iMe8YjIbaKi9nGPexwjhrEYWrns56meLjJw70wOZLfdkmTCvRO1w/gExAJJyxNTzCFK9Sa0pr0K1xGBaWaSPo6vmRmXXy1rL608DhU261AtlSGvSB9nbQdJdxKiya0X8m7vxozT1tF6oa3pMLvo8noL8cIZB5iWMddug6FQfeJ40k602Mmg3fVDmzx2fBYNGbQp0qFhYdaVnsPvqYlT8PTaZWqKoQG9mWnYbA+ck2HOnab5mGAKCkzzs9OuujBV0JnaSJ4RBlUgT0QOS0SYlcbXkchaM1UFAVNlKlL2sU0k+af8VBpjtIcFQfyq3QcRBIi47Y5S9lXFtyz4WS+MTsuM3V5OWZzKuXDHvmIBKk8KrCN9MBhYcV0ugBfUHqLVG3pjJ04BH+5xHEjWKuCIHcdXgmMHVZDesSJIH1GoyP9ccRy7U1F9PWsFaRpVWevTriAIlO0quBssHuIma70p6+Hem4lipy8pa1VkdYiyVsSO/3jyIeG57YL9WbnAGL43Qnj4RLEjCn5xUnHkkyufmP81bveHsBEjdmyLCXkDnI+x/Jn7uDWLrKxVXGs+zy7ntdixY4Ofh9+4VqWsh8aO6kCSvUR+307vBoR7/qMkEtXp45FsENDSp1x0Klz9mGVFu0neO1gsTW901Jtz9klDqrHjtkHQFYWmAjfOsLjYmO8d2QpAZVNiw0wWO1FUvZiS7rb+sQ7o3OhGD9fEseNHFGM6vvIdOLJe8N8kTA67sJmCrGV2WRqw96zitMaeK5r1lmWZ5WqbPYtFX11iAtePkreNm+C1hm01MoodVNa6bBAyWGOZaKHDydqCrgeP+ZSB7xFWXMx3Q2b8Ns444wxWfOzGG2+Eq666Cp797GczclbgYx/7GFx22WVw3XXXwa233gqf+MQn2O9RhYtcI37+uc99Lnz+85+H2267DX784x/DO97xDvjKV77iS9T+1m/9FjSbTXZc/G8sWoZ/srZo3VJk7Utf+lJ24Qn3fvTXalDL5WFqpuxDOKXf5mAwZNYLSMJ4IJ6LGZC1mD6O09ql3YqiBBliCq0XZoOI6WysFxBzbi9Fq2XICrlaA2qVCqsI6WwxO9VnbaMJFdOAkru4mNVwZuhz6wW/2MmCNMXYWTgGsVMPiJ2slNpITHV1HeZdxL88WU6zq4IIO5q3Jui7HYUqrEVZGgoCu71ag6fszzoqKLvtUdJK90KVG06I5UVAtTOAVt+AbTPeRQmexrjXV9g8uIF9RS+wvGLoaDzlLnF7PsQixuMRniqpahOS+MciOaxKUZXuIar0cN2K3oHjLq6YrYSusTZVx5Ih0kI9n+O9jXJv/YuLqU9+lD7uk3ob0h5TBvYGPrYL/DN+BIFPCqz1HZ/2UAXpk6EQRiTWeOyoVXre62vbIIR61trfUP4a+4pe2lMqCxEVGYLqVhwzEkHrsUGIYL2QJHYEociePXL/7bmPEdhXETvoHRgrdgzDSmcVhJGdOirIteB7GxY7amWtywZBUtaycRnCaAgiMXLsKAqMsWusaVD8tXNAxyr2Mpln/y2zptZfy1OF2LFjH4L313dcK8ZzWOyolbUjsj9/xj5m86DPKFSX9iaL9yAHax1YKPvETogCExWHspem/aUQRIkdv/edWW2Chj7XS6p3mmjf5zmRNHYcBFbTUezJc+Kmul18Fnu/En0NwDxjkShWqku9z+iw2Ik7j0GFp8h48jlBq90A6wXpYzHbFun4KtsLjak+WwrbEtHuOPNEbBszTZCoVsUOFhJTqT7TsEFgbeOjWhIYidjBjTOvmGD0mXSKi40Kmzljx8kKp7kGYIdlXvaGpaw1DCjk3NdXi6Xij9U2XruhAX1NV7SbHi677DLY2NiABz7wgfAHf/AH8IpXvAJ27BhZbWCxsQ9/+MPw8Ic/HM477zxmh4AZ/MKTFguJIVn76le/Gs466yx46lOfCldffTUrRKbCNddcw0hhVOaiIhg9dMUfVPWeMDYIaCb8/e9/H37913+dVW/DCy0DB/Of/umfHrPzI0RHsdaEpip9PEN1IFovTIEJ04r08dGOZAZKvfWaOn0c28sobb3bxfTxHnQUCtcoBQKSon20ynbLFnf6KWshE8y0WlDd7lWajgqMpc9MVw9x6wWlhyt61mbT2UK9qbZeyHCj41jFjslip6SMndSrbknFxQ7nirB73r1AkppNlaytsbTKgx0DijmNVVvPUlnrJsJwgnjfXbOeFetoXTLmZHizYbUnEWGCXNs2o54MjzOWglL2sa/38fHeiihW8iVPC7iQ9xwUuQ0D+uCTPp5QCeNHRtswsRhUh1XjLij6G1e9zNqbn3F6cCouXA/T+Bo9eNh+dQosOzUzoq1EPueTisqO4rmvBXfsSB8PazOQHFYo9OR27diRvxESOyplrf1attOp/UlTX4JAFTu9iMraESutbtcnBVacu1LRix5z8phR9Tng5qw2e8yvMHbscBsEpqwVz7NCYWSdo0rNl5AkdhgBjAtg3DDGP8ZwZEkg5nkBRHzi2BGkqSAvPR6jwXNMHE9xYscmwmUbBBxjxfxobimTeUobBOu7yxVFm1HfO7ZiPLjAmNxu7NgRfUMU85BbmIGp/3WRkyRz3RzTrzCfYgxHeRbjRpLs9T462eDrEyl2zAC1ISsI5OfN6D+mDo353mHFxVzkmXTi/LxNZew81Md6wfpOcLv2pl2n5ymqJnUgXuzEeLNjPOFcsHiypd4Oesgmfe+EqVtzrmJ/owMDtHtW3Ee234nrV7s8p1R2Yuyci9kCij75quHHVDOL2LGVtXKbKdogMKIYvZnnrTgT2WYYOwPXZlPa6w7b6xzbGg5hujg5VS17Z/HiYn7WC//095dCyW+zCICRqM9//vMdP3vqU5/qGPtoZYDkqoyLL77Y8Xn84wf0mn3LW97C/kTBRRddlFmh7XsVWftnf/Zn7G+s5HbllVd6fk9k7b0DmD4+32nD6t7dsXdtx0H98AZM+aSPjxQX6bdbajShrUgft5vOILjXDq7DvE/6uP1Cz8LGdaPGrBcWfHZns7ivzXoLZocDaCsKAsT1SYyDzmoVWnoOlufV3lZaVrHTbsPaSSdQ7KhULFbDmcQOkrUruSKc4ZmojXaa0/WPtVSZIj0TVQSjJq3W0lAQyO2xyWkhz4pUoMrVVhpJpEta6V6MCMOq0pKfKyrXpos59qfjamRc/zO/lH2Rxlfwm/gnVC4Y7a61wPMphtXHVLOcfwqsdW5xC+DVoXCfgFgMSFkUH4trg6AmMp1yKVSj4D8DlZBR/WNR5aNSkCmYQWXsOD5uho8ZJJvcCjb5xF3n7YkdV5veb/Cf4bl0/QuMhZ2riJ3Zko+Hn4c05SReGFlrb2yqzxnH068fUGcHKWOnP7T8W2VbAM85hBCJIenj1rlBgLLWKg7FPs+UtREJ8Zixg+R76wvftVSnOPfh19Iu9iU2GAL6miR22HmIvqo8a+W2fcAUiXFiR6RzDqWf9/uueyvfV/GP0ecN/t3lindMRn3vCBLVW7TO/UEzcewwuGw0/Irh+I0pETsX+MZOcF+xWntu93LsncVIsePzXVYJPky1nFLsKMlaLDqkyOLwUxQfrffY+QY/iyO8dzhR7E/WepW1wbET2qTTh35oBKh6rfuV9L0TSc18n1N8PqFBpz+E6VIO5lzFxazfJp+zWWrmKhRO26v8nbURi3O2dDfYHWpmhQUCApW1pkJMwH4E48PyZp6zvZkdsSORwvivNNcA7Lj43tA1GJjWu9vXjiALEU5QcTGOCVLHxwW2lA0CEhVBf7L2hCCkg+paA0qmAWVVtU3+aMiCXEPrhWq+AJXpUuwUwPHSx7sAPgtdK5U7AwLzyCZgNCyrrBfsl0D6bO1Uq6W0XrCbzuC+rt1jebjO7/L2VdP4IyyDAZWvqq0XrIazedlg7JQxdlTWCxkqa6PETtpkrR07C+qJM/N7TrmzOGnNtTqwWih50sfFnELHaX+KzVpE2JydUq2aoWPTaUWrTLyhggzhnCCKnfx0FASMHMaUfYlEEJPSkfJdmgyPmWzgl7KPnqadAaqXfSb+CfsarMpEzsqEpUoBKj4+uewYMRpmHoboseZDDrPjGSYcafSUCjL2sRiRwxQ/1YY/WetavAZZL0gfHYMc9p68SAtVfhzTUcPa2/Qnh0f2IM6fe2LHcYoBsYMLFfxFWIGxEIWr+lwV9xVJrYKkegyDol0RO/7qQAWBierWfH6kxsaB4VbbRSASE8WO27MWP8vIxHBl7ZDHzq6gvqpicjBkBfHy+3daylrWZ3He4craRLEjv3ORcGFtarEYDdzoiBU7qgJjvYFTKS4/TL1cLfT5MRZVytqI7x3b3sJvE0Jx0UJjR0X84/hBP0ePYll8zz2mnAfZ7AygHTN27LbR5xgLnqK1hOeXEIgosePbLlPF+xMpfhcrSuwYEZSO+lJAcTHrxBWp8gA7VNYLMeYxSNxhlpPHdsLTfrTYiTOdwLbxVP3fs9Y1F++dcS0fnG2Lwmb+JDX688aNnSiw1cwKklrEToHFnmKDfUzhhFAzuwubYezgs6nCNyvkvqWVcWZbT/BrLmLHM56kTLdUV+xYKDGHfrWG9Xp02xFI/5n6knLIi4v5ZLllsIQ97rGlyFrC8YEq9zVdPGkpIFDTD9divQEtn/TxrAqMrR/ZhAKYMOVXICkbrhZMVLgWS1BQTGTTrmYp0OlY1gvK9CWr4Uw6i8XFupoG89tVlg+QGVmL1guDgDSxdB2GLGwesohptfVCdhYiGDt+tiVZ2SBg7OSDYsdqNFWwiri4mJydgbx7scD7meYoZlVw210Yzk2zausetQRf9I6rNnWrMsWCAJVGpZwOi1MFD9sTR5ESl3hjixxU/CgW1EGL13FS9kUKLFbGVh0/aSofI2txYavwW8ODog1C0OIVYSYYo0Hk6Ua7BwOfFFjrtKKPJ5YSi4of32IzmmORs2Om5I0deSEZ1t5waKl8ghat0hjpDgwWO74p+hEeiYHksM9BPLEjfzwgdoQC0r/AWDBZG5xSrVJ9DiJYIASz6aP08eg2CEgesnbFJo2KMA7ZmfHzoWRf5X97iFMkETmRiAoeRraJtiNcY6zGjbGzx2+jQ6Ve7vasLt73VNBnp0f9FMpaJuaXvuRD1saOHbdAJafHusZJYsdWLbs9a+UxJin8VYW3BlxZO+vj4Wr1NSRobcVrCFkbJ3aUNghoWRIQP54x5fz1yNc0RuzIfURSxWODEE1Zm/i9g8paH3JaHEDV/GqC2FEXF5uLRow7Yqeojp0YalNjHYlin/ecdDAc02m8d5xt10Cbm/F/VvOJJz6L0S5rKeZ7J0zhaamZ1esZPG63NwzZwEo2ZxNEscqjWMQOztmyUNb6qZlthatCxJWWspap17GWAy+kJ2KHFRdTPL/SKLxrt43PZXyOM79aE/I57RgUF8vWr/ZEw5ayQRDodDqschv+7QYaCRO2NnprNWjqOdgx76fATN/HdcisFzqwut3PkycbArN2eBOwl8uq9HGrYcgC5UYL2jPq66tSs6WBdW69MLvTv5BaFr3VNutQLVdgSTVR07O5r41qE2aMIbR8d6KzURH31qpW7Cxswdgx0rdesGJnaWKjCUkb7EZl2V+1iPc1rfEkiLe1AqZbNUcTNXebKe3kIzGMCzFBvKF37K65op3GZwndhLKWn6M5JjmMfq77Rqb+je4A6l1eqEJxC8dX1qqJNySIMf01N/DxrE04GQ5SZaL6G8naINIU4i7qAlL2xfHWGj3fFFj2uRiLDVs57OeRK61KgxWu1t+hi3X0ODZHBfD8D2S1PUof9yMIgmPHLoAX5AGseK66Y8f1aasvKqUeJ/aYDYJQKcr9EkSj4rsYO7XuIJj4cbeHRFpYqrh80gqI2JlVpMD6bU1iu2iDIDZNPOS0aNPn3qBiFsfTb5zib70Aqq/L1xTVvbLq07N5ayoJvbixYxPwwtpC9NnOJuCsQoCiN1rsuIh4ua/4376VtdXXOFHsDL3KWusay2StaHfUtnyUobCm8FHLscObwe8xUdTMY/vgOQczeuwolbUYPz6+uPLnfAqMIfEzU4wXO7IFAvuMosBY0GM0ceyIvvQGYCoUuXL7qkEcZL0QZR7jJrCUB/AtzOefRcKOHfLiYen4azUonK0uHmQdbHQC4753VKSlr7LVbntkbxT3vRPcdo2rmdUXGJ2cBoa6MJ91asmJxCA1s4id3MAq1Jq2JMZWM0veqI7YUTD9aYmdbG9mqbgYAucUVjv2Cdn/nZoNAh4TRSBI1vawuFiYLjO9RaWw7unreZjyazck44awxcnaXq8HL33pS+ETn/gEDEQBARfICmHrI1drQH1qCkbLd0V6c8rsWnWlZlkv+KSPjx7A6baLKT2YPr6n4k3PYe0xUi/dNvv9ISz0OnBkcedYk5e4aBzdBNyXXVJZL2RYTG261YL6krrNnFi8pE1M37MOSL/P+5DwOJ6yIKbReqFeqQTHDhyr2EmXrR2s1WAzX4CTJhg7g/U6rOWKsGtBpZKU2k7pGjMiLJeDu4c65DQNtrtTYPkELa1KsLYnGyemcIJ4xjaJ+JcWAGlMSs1Gi03MZP9YRwXlYV+hrB3D/4yn7OcPeD2dbbXEhrpTuE5JaoOQ26F+/nQHlmWG7yJHnHeMu8vI4cUAP1em0uizSusloexTfCzq858VwJsqKzxW7aOxRw6qQo7Wu3D+SXMhlqhmNOWw5HHsbk4cCf8DFa7K2LE/HkJsiAJ4Ycpa11E8sSN/PCB2RPEeDVObq5LgwE0k+qgvIYAg0FWxIxSuofCfAwX5ULJ2lQXGhhaBxxV66nPAL6rfG5vtPlOvxY0dmcAUytoRWSs2Fv0JcRxPcWOHEfD4C9FHEZtiMepZ9Du/Hzl23Ocr1K14jZlfrv8zQYVDCWLHvr4OZW0f9MqMKqVJskEwHRvA4td+cydfInEwgNb/+z7oc1PB9h6uax4pdlS/UBQDVLejjtugVHnxdd++Yoq4eFZ4fun/VEsaOw5LjSBlrY8oIFLsxCCwlAdgJ246YudIvQcP2DMX9StKmM22tZHtRxQ7PmwReuO8dxyHGxrsvZc/dY/vZ9g4N8PfO0mWz6gozu31W1UAdHmqfLAqfQzfVp/7bcfOhjpIxlbWYnExVDNjIcyg2JEaiTqPCQNuDFhFVKcdsVMWcSc/Q8e8xp53usiOYDYIQ6gU/N8Rqa9j+WZfX9Oh4LM5kM3qeWsiLR5mS9kgYEW2b3zjG/Cxj32MdfADH/gAfPSjH4VHP/rRcODAAfjSl750rE+REAK8b3PtNgx908ezSeXePIwr9ACVnngAp2yDUKw3fdPHs8L64XWsZwMzO3zSxzmBmbba1Fy3rBfyfjvybCKRbqPtZhfmB33IB6QuGVlYPqyi9YIOC8tBhIKZeuzMYuzM+5MKzAM57Y0OETs+tiVuG8C0UELbkumA2MkgbQeVy0fzRZ9FjlCfpudZaxVSmmET/52zRch5Ji/W/UyjkIJNhKEqc7oMncEQ1lp95wTcNdMfZ4Lo5+eKfS3ndVjE4jJK5cIY/md2yr5KWYvFQHChrl4xJrFBwEUWS9n3UWU2kbAC019plCB2RPEt9QGtv9YbweRanH0z1l5AVV7xrFtpdFnNIf+00GjkP/M4np1yLKAUDTp8AzF2/KoKh40nqwAe2BWZoxxEGTuKs1Q1a9SaAOWif4GxgDmII3bCT9M6HhZ/iqAMDMrvHMWOz1dVsTMYWPdQEJYqdW/AQAxV6fnFjvAyZf8eelP05S8piekwck1BYPKCcTZxqDuVtZYojslMlc1Gjh33L/iiW9xfpbI2YGNGvHdixY6PZ63z/kox6rrWGDv2GPc5r6Dnk1HDZ/zQek5EUIyLvkeLHW+rlh9vBBsEv2vMNjpixo5MIKL/erkY04c4YeyIdkNsEEbjOUHsmCHp+BKB5QvpGCuNHgzNAMufiPY7TGWJRHHAWkK2YUgUO0HzMsP0Ly4mYJrh752YmhjcaDIb7cB+d4YG5DVN6TFtt5lg0sYyr5j1xHxw7ATsx4xDmuLmgMqvVsTOaCPIOSe2zj1xsw7LDaFm9sSOa26cRL1cKFj3q9WyNohlqyl8R+GbEg8ZrqxNDybKtBF5hWXPCYgWvzfiXh0XytrPfOYz8OY3vxme/vSnw7Of/Wx4yEMeAg960IPguc99LlxyySWMrH3iE594rE+TEID6ZgumjCE0fYqLWUhfgdlfrUEjl4eduBs/Id9NVA8sdNuwssMvjVuoTdPtbJ1bLyz5qj5F4+m2W2k2oeNjvWC3nWqLAOuH1gEp6bldCxMl//VqAzZ9rBey2hvE2JlG64Wg2BmXXVOgt1q1Ymc2JHZSvMbMeqHbgZWdyxO7r7iA1GtNOFpegAfM+BdSS/MSo2pR37bA0vhOmvepRM8LjKXxbBJEH96zwzUrHds58Xc+e8dNvWILaiSmyqM2RAVlNvlUqBTG6atfsa96dwCN3pCR8H4LzSSKXuZ5FpCyj5Wby5oGM34psPZ7JxrslP0Q/9j1Vg/O2B9EJEbvK17T/OneSs1ymxg7eF+1KARBhPZ8+6d4f2Hs+HkkRhlPFjk87VtAyD6KdAh17HjPUxU7RrUJelCl8wAiS44d3zbdSlMkm8IK5sjtu74vx06c8WSRpDmrUBBu1KoWIwGbmqg0wsrjcWPHoazFRalCWet3jTEFFsfTWTsCiqQqbg1T1pZGhBouwNlH7EWwsEEAH/VlxNhxK3q5SgnJRBPXfKpFd8AcEwmCuLFje9bKNggu9bYzRsW1HsUOr7HuT9YGzCeEMp19Lkgx7mIko8WOoj0cP1HiRzGmROwEb+r4P4uxcB3LavD4EAefStLYcdggKPyEpQN4vh05dsLS8RdHBJa6Xec1xjGMP90ZM3aUnrF4rSv+90q+7kliJ6htPNFAKx7+nkWEbhLGsV8Q2VYBRHFnYEI57+9rmjRpEklitFBRKWvl2LFUxenM2ey2ccMH1cynneT4+SF37GDbRvI5W9BYz3F7MBE7Z25XxA7vYJJ1Ry6Xg4WFBTh69Cj776mpKatoJBKEmgadZguGvSEMiyZ0BprnuWf0eszTtqMbwbYoMYDWLgPcRM31oNNR96jb64I2GIKhsDpl52aaLLs+jwVM76WEr2majKjFe4P3CO/VcUPW3n333XDmmWeyTpXLZdjYsBRfiOc85znwzGc+E/7hH/7hmJ4jIRgbh9ZhGwAs+KTKI8QCPk0U0HqhUgG1McDojZ5mJvfmSg3KpglTfgpX3m7aqdz48q3mi3BSWb1To2dArvV6A1jodeHo0q6JEoktZr2gwWJAESquZUm13elmC2rbArx5M7BBiBQ7kD4KtWa02DHTj53K9snFDqbs64YB3Zlpq6CBoj32V0qxw1Lfqk3QTtsLR+/swa/tU0yWtZSVtZiyv2cbVxp1mCpk23TRl4nAZ8U4zaqIN5wMny0WdIrFF2szYaOMeGMp+0X/Ii8+fntJFhwjP1e1KrPRM2DWb+EppS5FV+A0gi0COLCycJiaCxcIoe2hNyRWag4gT8WDDq8xjiVl7DgUKWZoAbzCfawx6nvy1qdZJeOjjR48aK//QjNsPAlbiUC44kIZO6p2Ve3VGpDbrniG291Se196Ykd5muPYIIj2vW0iYqdyo6pctIuFr3yUtX73JqgYVGDsCLIWnwG4KEQygJNtYRvV660+9IbxY0coa0cnp7tsENQqU4HIseP+hbAiEMpaX7LW+2P0oEwUOyobBI9nrb8NAsbOqc4fKU45wMcVlekCAePavYhPFDt4ju1u8PNB9y8wljh2OIxWx1tcTPQtQIGfOHYEcKMl4NlmfTlh7PicN3v2r2woLYxGB/D+CBWuy9PB1guK0/VgiErHIM9Y6WDDFN477nR8fKcHbhjyzb+w905cyyyWjo92Ij5iDERnYMBcwV99mdjvnxcXyymUtc7YCciGSjpXxLkUCjRcimKP5Y9rQzENrRMrLNxs26peETuODVHX8wsfM2j5ERe7dllrckHYCsIU380dTYP+0IRmOa8u9NrpQUPPw0Yxl5r6FueUfexGsQBrPjHbxznn0IDcRtn/WWEYoOv3fnXuwsKCfY+OG7J29+7dsLm5yf59yimnwHe+8x14zGMew/77F7/4xTE+O0IUdFY2oaPpsLgUtNhMV22KQT3bacPGbn9Pnqi7r3FQPbQB+KhZ9C2QxJEyWVtsNAPTx0cFxtJrc/3wBuB0dtrHuzErGwRzow6bpRLMJ/DXSopWswNzwz60g6rG6lrqHjJRYsfMIHbmOm1Y2+1L1UpG+EbqsbM0wdgRxFshZMKelg2CUGVulspgmD1vcTF7wYl3dfzIQaWbrMrESanHesE18fERoUYGU2VKi692fwgb7b5XpedW8yZur6ZcWB+sdaBS0GG+nIeuTwNJ+opEnzZTUZJh+C6p94ZwcsCDIO57x0rZRwWOn/0K31AISKmO01c/pbLnaDwtNCwFFkLaRSUZEgWh5Cn7MMDRZo9xFoEKp4DxZBXAa0DhpO3BbSmIH7VtSYgC0zDBrLVAP21vBO9L5699Y8d1CI/SVC6wFQC/Suty7MRTYA4AhJUFqkb8iDVV6jkfTw9WbWDZ5zv6rOO73AYBFf3Csxb8lLWuxa9NEMSNnW7PRdbyOJT9B+UvuQnxhLEjVK72/VUVWVV9ERfv9WSxw9S8uHAXvr/4N/5MpZyWCWoO5rkZwngEPZ+YslZknATaE4zaiBM7wiMeYdRbrL1cQHacfV4KIh77WsnrsBAzduxjNjugq0i0AIJinNiJaoOgYskix47feeO1RmJ8Z9C1VilrQ2wmItjvWOn4NSiccwCiYKPVH+u94wa27SYNlQdkCuL4751I6fg+Ywpjpzs0oVTRY8VOFKDtBW5GeGw+XLHT9cnAGCsLC4linEtJcw117DjHehpcwdBWM7uLi0njyfWMtEj4+G3i95A727FjB/T7fTAaLehcdw0UH3oufOFQB+bKebj/Kd75z3BlA7o3Xg+fntsFj7zfbjiwNL6dI76vWl+7An5YXoTzHnIK7PJ5Ht925U0ws1aF7U86x3ddura2BsvLy4ywvbcCrQ/GVdRuSbL2oosugu9///vwlKc8BV70ohfBa17zGrjxxhuhWCzCf/zHf8CznvWsY32KhAjp47VKBZYDAiztIkn1jWao9YLfQmUc9Fc3oZ7Lw65ZRXGAUcNsYZ0WcMd3odOBlV3+yqQs0taF9YKvJ7DVMqSNqWYTmvPBkxwxiUizuBhS0nO7wyfwYvcvDeSqDaiGxA5kEDsVYwgln+JiaaYFyeivVicfOxs1aOg52Lbko76RlbUptCcKKR2EAlvb4yRcCVyUpsDBuwsp4QTx5MVK4Ex/HE8w5oXW6jgmw6LSur24Ujx3ZQVm3F1zv5R9tqATKbB+NggJ+moph9XEYq0zYClkWIQkrdhhyuG5KanKvPuA1l9YQXkqII3V8j8zo5G16CE4ExyHwNP4ztnpv5EUReGEZHt4sa/RmMH7Ghg7YcQPekIiORyUfsoPIl8vZewoTtNDYGJ7+E6YD7AL8knRF7Hjt8Dhp+mJHfSsDVIgKk7aP3aCviZzkfgfTFlrjcHc7mUfNbH6aVrrDpiFSCQC0/0LQWBiYUoka1FZLEi9kLkP9hVJ6bixg8paXS4C5VHWMkmh/A37X8Y4scPVrYIo9lXWKq7xwaSxM8DCcQVGrDGiVpDjKmWtwvqBFTUTnwv0rDV9lbX6jkUwjmyorTU85xAzdqR/D+9ZYcQ7jt/wdkTROvk5YflQBsdOgA0CKmv9yEufL40TOziO2U/RBiGUrE0ndgSGRzfYhfcr1mm3y07UHD92JJi4cd4bQG5bQCaXdLDVRm+s946jbUz33mxA/ox9IZ+0HrJBZLg4xVgFS9dqkN/vr+zD64tHK6mKF3LI+p84MzamKPb1q5Vix88GYZwsLGa5MeuYSyljx/X4TGO9w4hirB0xM+WInWk5dlwDd1zhBJKC+GdwaB1MtOfasQx3/OJOeOTOBZap7sawWALoDaEz1EEvlJSfiYvhyiYY3SHcXSnB45dnoeij1tUNDQr9oW+buK5GohN/f28ma9PEliJr3/a2t8Hq6ir79ytf+Ur20P/sZz8L7XYbXvGKV8Bf/uVfHutTJIRgptWC+raAiY94Npnppo9vD1O4ZkBgFupNaIQUF7NaS5FIPLoJUxCcPh6WCpgEuMiuFoqw17diuPW2SZNc63b7MN/vQSdEhcXI/zSVtSvcemFHBALTTDd2ascqdgKsF0YWImnGTmPisYNF447miv6TYR43OIbTeE6IQkr3tAcsrU2ZZiTbIIzZV1uVOT/N0sdXmz146Mnu54RLRTCGJ5hKlfn/s/fnwbatV10wPFa/1l5r7f7s0902HTcJuQkC8SMxKqBi8goFFoVfKVUKhYpWiWAVjVaUIBCg6lVLLUpsAMumyuZV/ANU+AiWCIgvIYEQArnJTW5y7zn7nN2svl+z+WqMOZ+5njnn08451z7n5u6Rutlnr73mHLN5xtP8nt/4jfvjJdQqJUpbpPMLZvb8ZNhq4h+l7Kf7A1ysv/UW+7wY/bMoZf+5p4R/R4YGnq6quAnbrlhZXIw749GOeupmyvphTGUdUIfVkzGd7o6GVYWmih1qM1ioyUQ3ECtjj4P0cVWKnhL4MWIOh07D65bHjr49EZse/yYoZsY2EmT9KN5rzSAFlo+dADTVFEiKX3SqT43HjuywBPMfQUTst0KQuPnu56XXK2oOpiw9Jdu0USdAkTRrk6CeRGpCVyApuGYRyIXM2rhmLRkDApIrbe6fl9N19tgJNWsj5rCIcScJ9qyxg8+XNMjx2XpeUFwMv8tvCPAvh2OcstjRgrUySQLsc8dTqL35WfB6QbFMrYVsOePY4QYe594ZVG4emmnjCuIW2/Fbbqkla0SvBzeOl//jI9R+RTIIah3i7LGz/I1PBIAtvldNSn4qdsamsSMBax/2Aoan8lnHr5vFzu2c4457NgjmRspaKpuToSZ8nnEntWmPuvcaZi0WUUP3Khax7TyGNlxwQ12hV4vtCXX36wqwNsZeNpy0RWzmL36d1G8UO5I1XJ4sLJS9SILzEZmAb0+Jza4ils8Bk3ov6nOUsRMxa4upW0Fs5k4Leg7OZQzAf8okLGadhSxuD0k2ex0pUBs4LV5G8AvdHivIGnUdvviLvzj6/bu+67vgV3/1V+EjH/kI/NiP/Ri025oKktf2SG06wfRxB6o6XaCCwxQLJM3LFejut/XzrYIAJ9z52ZvPwdsz0MIr0MangY7z4V05MM0WEkUC043xFOYK6YVtyCD07vepg+rcVACJNMwWi9aWUHqh2YSKZrAp8hlj7HQNY6dIHVeMnZlh7BQ2oIex46qqs5NjKNYGEzirNuTsm6KZtSHwpgQIWLpnDtB0428Epd02MQkehimwKb8J8CSXJAEuQlCrkqvs/CAs8sJ0s0Vpjewvtl2xDHibrVwYLJzNvcpS6iyLqTEgqLy/K11sVCtl5SRqQ57Q+w1S9tX6quwshzvqtHd0a6RZa6TnWoLF2tUz14yYtYHGsZJRzelhGoFritgxAoeZz/Ac0tgRHeILYgIZNVJ/3EGCNGN8vpvYER4d+GGnWKyC/kN3f5KLTsWO8jDuekO2pZbRK6EL4b3u1CqUoqnyKYwdkl+oEOhDhb88P8WsFbGXWQqsvj2Za9aWuAJjMRA+wb7MGjtRgbHwOYuZteJnrNM1DQ4VadZ6m3t1/Uh2Ivau+QvmZD1Y7ERXKYlLKRaJQCJqEO/uQP1Ln4Pqs3eMGfimsRMRgT0PvLM+VO5oJFKie4m3KRY7qlR55jc57jif/DydB/XlK7cEc3lF95gndpBhirqx9G9VQaEEgEWxY9Se5CAXPWud3ESCWctiJxMDP5HyTUAxk22Rn43+vz9d5Rp3ePPOBzRP0o2zo6UbgLUKNi/5tcjCitLxFUAxvtcG6tUqzmkytifNR+1px410W3lLx45sg91sHpPyjRkXw0lKo/i+LHYSc+LgIz8Xs7YSPvModpKgadRuQ7C2IPIPsZmP9vSxw0lqFcXDQTZzv96Am6Jiyluu5fOFbo8VWHttr27r3e/Rzz0VSy9kQhYZqCS90Gyp6fIFyyAMexNo+p4yfTx0XCjbdN0bwahSgx3Rbjznk6wgv47jwf5yAWBQpKVIfG3ysA+4VDm6c3ClbNOd6YyKUCmtYACzd/+Sfu5ppBeKLs6HsTO+4tgZhbHTVBUXKzh2cFFfXa5gutOClmSRwvZ6i9CsDViZIyjtd2kBq54wMWZtPuOBN9zJxz2bk05i4p8AMvNMEAMwuhOr7JyalCZXyDnA/03KfnzTCAEYtA1YK5/423jUsTLxXtsNtR6ViZ5erHKy4yoXdaiRi3bU0oC1BumDtKDBlGMD1imCtQetmjR2TO/VFBxGc10/iB2jtFCFv301c3jj0lfHTvIYwYLOuwjSPqX+gtWnFKw1udfgUH8ju4CfK+cDiQvwFbEjPyp2p6RXi58rteTT/iK/IfCjZHRL2pOP8gvot1oBfxZc/0azFqTFoIYLB+ZrTw+uJWKHAFNk8wo0a6XM2gRAYBs78w99GJyXTgk4pQ0x9pxF47QgALAAIaY328YOtSs3kEGg31EGATWB8bu8LjK3obLpx/0odqJNe5VmraBhIKuWbrPbhtrr7wqBnvQ1ZIyd2SIA+lWSJRwYmIxbfL5otkxt1It1XnoA1Tc9Bc2v/FK6V8FRSmZt1tjBwkNR4Thd7BYQOynJJEPdVr5/OmhVNbED+nHnrE/SGloL/aP+sVHsGIzrBBQf7UFJk849JIkKgBsZxh11On5NKXNEzFp6vn4u9nLKNwOKBcVLU7GjYtZmmJ+Sb9w0SkgwCGMn4cRmzib0jWxm1GYO+y4WOyLiROCI/ZqfsIEbhpiRgECxNnYKJqeguZdDeLmsyF6MfBfk8DVkjxysff755+HjH/84/fttb3sb/S777+1vf/ujvtxrU9j8bABrKMG+AYBZZP54dz6H9a4uFSlfB5y0YQhMqxiugWPyWoxTJDeMpjDVMFwjZm2B0gs18GFHpEm3xffqo/RCvQE1DXsnAGuL8bucr2DPWUW7onoZM7+w2FmVSrB/snu1sTObw3rvamNnwNjhmuJivkSLL4sx4K2i1Mrc/MgLwtNCcOXAuNWkCq+i4mKbL+f3SZO0wSS6P5yUItiUSuNLTkwt2aYiliSzlROkwMb1wNJorQC/NfQnTtlHBgGm8G3YpuJJr+1kmNoMVlGWAGH4jDuNqjIwbBgpTONYtLhh9nCyMmbW+kYF8MBIz3UpWmwkv2ZS1GYyV8cgZ73pKoidDMw1E81hGaIijR3RITEypR8walSpttxB/LEsdlTsSzqc+WI/EXzBNrOj1teNnSDB+ozHjiGAGTKtMzNrTRiusthB4BQ3bRBsClmfUZGm1MYif6+hrqk2LTQBroUgCi+DQKBpiQNtSbNWxqy1uFc/AD+9hz1qu1GxrxDoETJrE/7QLrLGDtPIZUxl19sUdBMWWeR/Ce71BkoRSNjj/P2K/uSNZsHfFZXrYxdPJO+cscNrEcsulg6IbwAgCG8UO4nxyHn5DMBzofr6u5k6cKvY4Zskgu6MJY2/azRrkxreWWKHmTcMQXhZ4UzueP7CdcXFwksND5GMAdM5zccqWnLA5gI809jRjLJ4TajjKdTzTthgHrwblPNQ+rVYAngXA5ICkAH7bNxpoZaqkllrv6ZE4A7jOJaRAJLYkcz1s+ZqElhbLqfamzB2Es8zLzeFAHJBcTFpe4rJIOQzYjO7bsis1cROgesd8r12SG/8fqWh7Z82kPi1vWo0a7/0S780kjfAf9sWHLm2x8gGYxg2m7CvWeQUyQ6cDGfQcR2YHe8aAk5+Yenj03IFTjS78pSiXxDIRenjizlcHm+qr4ssGuBiBS/ySS/gXR7ePbhSZm1zMoO5ifRJgaDe5f0e4FK7e0t3r+HiqaB3W8LYaTThQLP7XqQ+L8WO58Ds6GpjZ8liRyG9EDgu7l7d/hgcKEFX1U8UuNPMwOEHZVzgz+DWroQtwWvW5nDqT2YxVialhQoWVvQuYxPTbJNhSiEdTqDKVb1nhSqEYG3CJ31k6RjBTFEaJbvXKAVWskFmOxlWsTInS4eKVXR3NWBt+NMoXZJS9uvCysk8WItPHKsoq8wEhA80js3A2pWjLmgTfo3M1xXA0/oLzvQwZN9IY0fH5lo7BA4bgbUJgEAHSkR++cOni0BTWccGjMblzdEPJ0HsqKrZM5/cpQabQgi6GGvWJjc6krIl8sNij1gB4KX9xV/OdOVQcT7j9pRk1jpO4DcEmzBeInBPAqwxgAAL83V1bPhE7JDUAoG1CWZpuRLvG5hOLucXz4P94rufPTCPHQSHEbRFLWJk1SJ7l82pFbrnvG2qj1vGTqgHHDGVOc3aWBvjn3O0+cClykfAtQysFY87/ngKpZ2mAWObzkL/35+tMsWOh5kMJqz05MY8l6KfJXZwXEHpoPKOCkgRF+qyjh1eyiAEp6PfdZq1yY3JDLET6/sx9VnIIk6cILjwqD296xlN7Gg2RKMMGVW/nDhZKce4k5qX4ZhgABT3F2Gcac5pOmfD9opAce2tYs1Yftwh9uXSkftk5/QtC3xJSC/p2JFtsGdbdyBQTBv73HpKGjsyzdqMqwACinEeF8Y3ZWAJYic5rywCNMX7pnMddOH043117ERtvQil3OC+8YwPUGpOy6y9BmtfdWDtT//0T0f//pf/8l8+0mu5tvzp4zOJvl/KikofP+3BkYH0QtFp65XRBEatHTjRfZFPCctpg8swfVwjkh+lJRcEdDkovVCtwW3V5DIcfIoCa9drF/ZWC1g+cVP73YBZW4zf6fkgAKY1YO0mM64YQHxnOofJgcFkkqzo2Dm80tipDscwbrX0sRNOJIoqLnZerWt2mrnJS063tECoV+HlpQ9HOzVoyhZG4cQ7r9ozn7KPKbCYPv72O5K+OJbyla0r9pEp4/kxIAxZC1ij4kZHMFFLsHnpI4s7jlL2n3s69TecDL/huK1FZW0nw/hMhXqCXBofMmtVZ7SRfAhYoB3lhjUuroITQn5mLRXAa2uBEVReIKaRNi1UDcIjMxqZiLq0Y9bfnI2XxLyRxk7kV8LmYkxlHTjMThKmjytjJ3GZ/L0yRo2SWYsmYB0ikCiNnfRlRrGDrDEEm4xJDonFbyp25IfFtAOFOqaGL8ekQBI7lHwlG1TErA18l08OU/fPgDX+2AdhkRetJEYydgTMWgIB+A0TCbO2P3dg4XjGsYOn8BfLzX2yew1BWl9SYCzZ/k8zxk5UvI2Bta4HzmfvUxp1LI2bvwwOrKXYuc3Fm28WOyS3gNkhoxnprhtZ+CywGJRV7HASIgT0c9XiNQfGbgrHgNcf7djHDo5jOuawZPfWPnY2n2FfQYZtAsdTlWZtgm54mjV2mO/hGEq7O5zGs+IEwZUT0xRjRwvChwfJktzYXMxI1zu8v91GJfO4wxuCpWg6Vi+OO8NFuFGiOavpnA01W0kzVuEb2xPGDskgLBQ+LdcAmBGAxabqz9wS/j0VO5KbykqcQOAwOXeTx06SwJCfWVs52ujyS2MngYBnJU7EfPeG1H8OHTCKHXYZRSzt8Jm75TL43Z1QVkPt9Fqz9lUmg3BtXxg2XwTp4/oCSawgVEF+z4ewLJVh35BZWwT2gwPWrkmBpMBzYUDi8NRMeqFoJmR9PIHpjllaWlFvtvegTztJ7RP9jnTAIi7mXv3eGIb1JtR0gw37fgF+5/NlEDs6Pa+CmdqL80EYO5pK4AVr1qJsiWMSO0XkBXGFFs4qCNYaTF5wwZzTH9PmPJ3oUxY3zNrsXgl4w4VnswHnkxVVFhZO1JK7+Rn9boCwzXuk9PFuA6o8oCBoO5lYGixlPyERsHBcuJyt0/cqmvhbNCcCh8dyPVcE1xrVcpg+qGLWmqcPMiavyh6MV2YLOgPWD5OV0Bk+Y7yL3MxaBKP3UONYt2APznRuEjsKED5gDpfIp+FJ1LEjuEzeLy7SCDhtKo7F9yLQUxXGjuQy6VB2iulCn8adPEN4sDR2xJctZGAaMSAFrE+MnQOD9HE6HOSatWgVvgBpilkbB6aN2lNS8mEp0GzFTQcO5AuO4QA5jn2JZs4i9oPChowZjuxaBMSVzFrxM84UO0yLOGQRrz/1MkkyNN75lsSBPLM2+Ody7QaxwxVIks2PkrGz/tiLsPj//b+URqsFMhPWm67tYof9nC6gZBM7jBHvIwnRg8vpWpsqL2pP3niml3mQ3Eqe2CF963IpSMnHZ6V4XgHZMH/s8Mxao354wwwwjx0NkEi+DXTLOe9wqNGEZ981yV4hKQC+7xBYMO6AIbPWbM5GQDGOfwpGcSD504AytQXVPMbo0uLsUtzMP06v34SxI5NByKDjSnJL2I8k7lsWO8m2bjNnE8peIKOY8y2NncRYVQRoytjMRrHDZxIWsLZDVm+v3oRbuuJizOm1vbqYtd/6rd9q9f2f+qmf2tq1XFt2693vA3bLXX7ifAW7KuVQeuFQswAMBqNiOqXJYAo7ngsTHYOmYGatqfTCRiaygA6YpBcWcGGguVSknur4QSi9oNE13YD/xfhtTacw6xhMKpmGnF9c7OzqpBcKbk+lwcQudgogEY8HU2h7LkwFkzjhNRZwr77rQXU6h9HucaAxegWTFwKm7hzD6WAJb3xdW4uC4CPO4zJZXAzv4aaIfSOYmGZiLuAipN2KLUJwUpoCfgRsyywyCFHKfmLBh0wuNF6vUDbBN63ebKLnygralEorjdZb8FObLmmQsj9eOlGBMd0Jgx7R1xTAG0Ptrr4S+tzxCQhRxo7JojmhcSw9D2zA2nfc1vcTUv1LbKO7bT2bKzqJJnYE1+kn2oyJpIQMSDQBTcsCGQRt0Z6Uf3nsyA9LSD4wZq0OrBUAJCx2TNLHyVfi3RKAiUy5kNUbk0YppYG1KHaWrr7wSUjYjKWPr9dpGQAcM/l2FdAnhfeK6a/GsUMFalYblis+Z7xPNt8QjtXxAEAW54PREt7zOv18IqW7HEoeMBaie/+CAJfK7eOER+6CGfiPIDoEhfkYR9BUBsEbTQKAB/v4N2ykdbQXH8og3L61ax07jJVu6ocvMCaU/JEdzgPEKCuB/byWPSxn1maNHSwuhmM2brC6mOWgOge3s2kdO4nrprFmOIHarae0x/Oo4P2xYexsDpHLJ93CHDK9sSnuYUsPjZhIVwVFWPUbojjumO5imzIwUa+WpAAUfXQEJE7VO9m2czYstIn9o2g+I40d4ZzNfmXnXrAMl30zyZ+kDEIObgrJEi1X0ZjMYueOcC4eJ5DlJWzgOgfbW/2Z22axUyqOnMI2q18xKS5GTq9lEF51YO1HP/rR2O/37t2Di4sLODw8hJOTEzg7O4NerwfHx8fwxBOGg/i1XblNz/qA3fKBCeBUIDuwPZvB5NC8ymcRYG3/fpA+vm8AJBbZKVVHExjv6KUX+OrseW1wMSbphZaROH9x94qTyWG1Dndbat0opuNaBGi6Xq9hb7WExYFaEziereUXEjsdKMHBLRMWcXGx05nOYHRkHjtFOO7d7wEu+/aNgOli2hPtsuN7MgFScqRexYC38QwWOzuwulypQZjQWREyCNUw5QxZn0ftGrEIhA5jwGm2JowawPxE3PE8OJss4Uuf2JWmNSY/snGLLFBRyj5OwBFIpKI2vAMZs9bwZnV6rgiGvOmkDSVvrWakRPNxPQMHTQXW4r1GWSlG7Bv53xEw4DWOVTZ3PGhqNHIDn3JGCmkcDyZQffaOeeEgF4u82AOJog0MI/N9TeyonzFpOD99y/wgfxM756LYkRzOHUqAU+VJvVRQ/AS+PHaUl80BmJiq36jp2WqCmDsNY8foUkWxg2BtuwmVO8fQeM/bY7Ia0YiR0EzVFnmJX3KCWesEadTcvVafuAFlHuhLoZ4+V9DGjH3JDotkEBCoxTEQixwyFq9g44Hme5zr/mwNS1dfEFAIwmMRKvw81M3255LNAB5Y4sDao70aNMolmGnmR6lnHALUNBYaMmvZ6xjN1/AmQ3Z44MKPmKa6QrLxAzdgbdbYoX4XN2c19yghGuaKHfSNYG31zc9A6TauYOQapXx7xrHOKnYSnxFTfLk2zHDgmbXmbN7wEGE6PmXICOSTRDZYOIB3eWAC1mrmbARSD8ZQ+yK976BYaQUgmAZo/JrN2TCbTCWBgAUIcc72JTjuYP03P/88JvJ93id2qSiLRhQ7ycwE3q/tmh1BahqbEjGGffGbbghiJ5FylUWma+ObFRfbi8XOLVXs8Mxaa48JgoHnUWGz08/PDLI5NjPxvMtYzD7B/uVepwNfahizRZGOXitWfhzAWvbfj/zIj1CxsQ996EME2H7iE5+gn7/4i79In//wD//wo77ca5OY38f08QZUDdLHgwJj+QN1NsX08bWR9EKRqdzL8yHMS2XYO9BPmqiivV9McbFdw/TxImUQIumFO0dXKoPQGE9h1rZJhysASDwdALbe9k3zqrFFyCAAxk6jAVWTlNLCYmcBu65d7BRxrxg7C4ydo86VxQ6xSJA1rZFKKUqzlhVSOqvWtRO1UgEFxrAADjHsQmARJ4jS3e1E+9ExMKU+E0DY2WRF+Eh6gpgGF231zzaszDTwhuleNzt1qKSkFyQTfwt/Mj3X+dqF3jxMH9ecNEqpM2DgIC2pvCuPC5bGVwT7JpKx0DBd8R3NHRcaKGynMRUxCDcvaCFhAp5yDHezxbqAfUkL5Yk5WBueRBk7yUN44MdxgrRq3fgsKDB2FqbAmrL0onR5TFlHEMSEHcgf7ytiR3HZAYnSD5lyUwN2YDroFnzsaK9VHDvE6kUAs1qB6lO34oCxRAYBYwc3HPaNGHOJ2FmvoVSLp84i07T2lmcTFxYHa2MFt7T3Gh7GwC3WpkIWMQNpfRlLPKYvysA1+9jZgLXhsZ4vLngomE8v16E2rwC0FvrlgcT5RjDTqF0FZ4lc2MVO2I5nyDQ1T9nd6CAHsXNiGTtoKPNAn+nuUTCG5Y0dBKexryi3GlC5aVanAO2+bewkXjmys/F8ouKgghOE1x3GTtcMIKZjBH/DfiqQTzIbB7CAp7EMgm5DlIHUJsza0RL2mU/t2K6fsyHLkkgKivEdNwhx3NnMYxRgLTuvBbM2yWxlJowdyTwqyxIAwdrK0X5sXKDYUUn+iGQQspAYLgYBez3MTGCxIwT/U5Jk9pIPvJFmPoKg+12z2OEzCbO7DXxjVgS+21rDqC8mv9dY7asLrOXte77ne+Dv/t2/C1/5lV8Z+/yrvuqr4AMf+AB893d/9yO7tmtTW2syhUXHdJJVCN4EvfuX9LNrwNLLWoFcZOXhGIatHSjrtPeY7wJudjKck/SCrrhY0cD0+mIEk0oV2rutK9stc10P9hcL8A0nWEWxTccP+5QGdWTAmN6wyPI7bk1mFrFTzL0iwxUMpRdUjLlssdO60thZXIxgUK7CzUOzZ5wVwExqZX7OrcBes0qVYM0mTH4ucBgn5pQCq2JzCVgE1ppg82VQ9T6hVytMHxfM8m2ZtSxlXwzWCsAQ2cTfRgZBoefKiouRXw3NJcmElPpD8FuTsk/gGrtXExkEX9NGSeNYzQzDFL61B2ZgrYKREjGHTYp9hbZbr0CbTz2X+RX4JHDYkDkcnCRg9ihjJ33IJqUaQQEDoIkeUaqqvCR2NH0xq+7Oqk7bXrQpkMjHzvJ/fATWv/WpAAgw0qCMN8RY7BhcKh0eMrMXv/ThoB0xHVfxhQbHJHSBMXZMCiSxUySlAQgw1V1sYjMTY2e6co01gZOatbB2I2A6YtRKCozxhu81GHcyxA7KIFTKsefL9GulFj6speMGsRN7eDK/m76Y3XMZWYDYJ5luPoT3Xc4SO/iMEYg20ayNXs5mkyVL7ET9UqViUOwqPYZljZ1oDEWt3I4pAYLvJyxjJ3Hh7r0zktLQjTXRCUJwDWPH6l4FA14krWHYVzFN+IaBdI5uzmaSLUPfC8ed/Z264dhuoEdPMk7xArBJu8/GHSzMVypuDeDNFkE8S9aq4jmb+Ow2c7ZIM/ZiCOUbe+axI2XW2huC1Px9K2MnMTfOve64HNKcfOKCWezwmYQ5sQLUq3UqZfB2WkbjzrUMwqscrP3Upz5F8gciw89ffPHFK7+ma9PbauVQ+riJHl2R6c2zsyGsoQSHN00ATCgMwOzM57A23f0vYtuKpBcCYHr/tpkOWVHAdHU0hkmrZf5ei7jXsyHUwDeTXmBM7QJu1sPiYrUGNHSLkxjbNJ/P1WoN+2vz2MF7LSZ2BmHsmGlCkkWMsOzWmc1g3TUETQuKndXlkFiuWsYcB5zmIRFTyv5eG+5PV2YLOmLWZt9VD1iZZaq2jIUbVqr08USsZKlA60aszG5sAn6jU4d6YpGzmaT6Uu1AnW1S9uMxsnY9OJ+uxMxlWUpdTnCY3WutXIIjWlzpmLWbc6rMRM8VGXMRWJtBOzDlz6DoCi428Cx1EwYZO7cvBqMRVNQCP3Si4EwnHYPvShgpjDlcsQCHkTGtjB2R3/DfCF6iaUEBgQwCtqfjdjp2hIczf35QqIg+synIFPpXxo70sCCt17l3HhSCMpgDscwBHiDYxI7mWODAvOUa3NNLcC8Hm6Jbsgulg5hmbQg4EQhv+l4Tkg/INtUUCIozpgO/rMgL6iRqfbLD8L8F06x1ImC61AhlCUQL4USfbgUkJouprdaBDjkX78x34sDoPlk7xkdOfo2ZtaHh8/V8qD33NOx8wx/VFyCMThL82G1UrGOHim1hvFoVGAuZtZ5PsWO6qcP3xRiz5W7LSD4k+eyyxg6wjZ21Y5lpABljZ/M76i5j3Fae0Im3xa98MAsY3iZ+o/mE4G/ug0uS8ZD2Fwl7MAk3SgwmJ7o5G41BGLuazQc2Z4sKX2lcm8xjNpuj6kwdGncwW0ciQxD5DH+azNkYy1Ikn8LGnVTsSFgDunlM0mgcXjspVu/9UHpBGDvJOTE7l+WEnDRje3FGsTp24qhwXmYtsnpRfsG0MF+xzNoh9Bot4/lEYYu715A9VmDtW97yFvjRH/1RmEwCphCz8XhMn+Pfr+3xs8vTAYkfG6WPsxAtAknE4mKNJlS4qrxSK0gaYDqaQcd1oG5SXCxwXAi4trgI0se7B/odYmQtFvGMSXphsQDXlEHDDXR5bPQgYH0e3TVIm2JWQHNqjCfm0gtRwbp8AObl/T51wh3D2AmdQl4rRbFjWHynALfT8Ry6rgM1RXXahOPc7QnjvTKawqDegN2mjh0V/tjI8GUyYknud81SqpkMQo4mHPjr0CJXDxDE+8Es+xy0EKhWYiwdVrxB6lLIXDBzzBYelcRCk0kvyIqaCS/D4GZpIY/gsKK4GDK5KI1PwgjZXIo+dnDxr9NXna1cGMyd6Bnr7kOX42Cq54r3ivepq7ROPsNNWNGlBRW5zcYRdvixASgR+E2/AZKxQJaelsG2OckUtUkNwTU6BOLMWvSlBQX4RXEWhisXO+YsveRFK2JHdRiCposV+Mjacr2YVqz2gkWxoz2Ui50wPd9frCk2iW0qu9AEe5nFjrm8RSJ2GICpsVhMUqr8EnZqZWK52sQOsT5xXEZmLfquVaHcaUHj694DXkcELm6AjiB9fGHehhOxk2Ly4neUMgj8WOKT35hckoFmrT8LALJSq2lXbyG8BpOU9dglYztmrHQDFm8yU23teIHkT4ZnjO/WiAkv6NQyx05M9sYUrKWjaQMrT+ygdin2FVWDQpYbvwCD+RpahrHDDhNJ4bgPesbFxZj0gqnpQFNiOmKBLw0wz1ifEbNWMy8ymbPR5mh3RzkepcYdPxt7WZiOj2OvoJ1Hclmi9lSADEIEFCc2vvEZ35LFTgI4zJqFiyQNvDnGrNXGTmIenEf1DccJH6WJjvfpvdrEDqIFedd2yCh+uVQ3nscUKZn4WrHHCqz9x//4H8Nv//ZvUyGxb/iGb4C//Jf/Mv188skn4WMf+xj8o3/0jx71JV6bwCZnPepkDk0KbqEZpNOY2M50Cktjll4xgBMWF0Pbu21zr/nBtcpwAiOL9HFiaOR0O+pPSXqhYQpMF3Sv68sRjCo12DFMh8sHdQXmOC7sL5cAhpPZoojak4cDkl44NGBMFxk7rekMFpaxk/cZs9jZvXV1sYOLo5rjgLurnzQzaLhcyp6MRMBbfwKrbhtmqOFnmoqUoxIsX3EYd/JRW25HJr2QyPEy0T+T+WPP0/V8eKhjEAiZC6b+RkLgDdkSOPdG/bOkOzGz1oxF7PdDWQlJ8ZnYIken9WaQUudPZrSgVS2kN2l8TXP2ja8ogIcVyQ3AU2xPLdShN3xXsgWHDVg7Xbt2zFrBItK6uFgpAMSVsZM8hIsdTDvV6tWyi+XALMf1NLGTPjxi1hK7dccoPTl20eDLY0d6WAnqyPTknrNKXzl2wQkZBHtgOpAioH+HjEg5CJFIK/IFsWPgN5MMQoJRyoqLmb4f1p6wwBixpfF8CEyHvqXaxFzQjRYOjTu2IHxkEbO2rGHWbu6T3XetUgpix0KzFvsiL9Srtdp0wHEnPLdJMajYJYeF+Yj1aADCRw0xjNuV41Hs3OzW7WUQlivx8xRdbOLZZY2daMOzXrN4xiWay9gU5mN+Y68fJZpQVsM4EzG48OF8bSy9EPlNSuGg7+XKGKyl2HHijHylTwV4SUDxWR8qJ/p5/f3RgsYdpkevc20yZyMZJ0VWCUovxMYd7TxGzl5OnRsLmyGbWfDusD0JY0fi31YGgTZp2+kMHu2GqJBMkKG4GNYdCIFibewkNoHyJIgSQI44wfFexObVs/fD9Y4FcUIle/G5ct1i3CmuGPlrxR4rsPZd73oXSSF8+7d/OwyHQ/jlX/5l+om/4+fvfve7H/UlXpvAXEofr0PdJMWxIGbtcrGGvfVKuqBOWqlcTCr3PCyQtH9svhAsQhqA0sdNFkcFPuNBWFzswKS4WNj3F9EB10dTmO5YpKcVgBH3z5Ad7kP7xIzhyhggeZnaOKka1BpWsVMqKHYqlrGTt8AYxs6qVIKDmxaSD3l3fENWZt2gkFps8pLxGQfAmwsX1YbhIocrMJbFn+fFCikFhQUUE6YoQNkE0T71KikRcDlbwdrz5RO1FLPWbuNMVVwMKwrXkuxw6cTfTN6CWEgNsZ4rLtQvYvIW+WUQTPRc8b3WKyU47BiybxQLOtKzM0nZD/22kgCMyq/gXgkcns6htGc2Zl5MAxalSaV1GQjPb2CYnmO2dI0ZZHQMlKL2xNjtBo5ijbCnix3BdfIyCFgEz9p8RezI/GLmCbIumSGj12gzdRMfK0yBnRhKwyRihxW+YmCtnFkbB9aYvijGzlHbnIGJsYPvFLX4ImkA3cUmGKU2jGl2CgJnVw6UOWmLUtUkIyRkaVsD0/HYYcA0tTPGQmsK7j0CbzYyCC3Wlgw1az3Ph/nP/ippIGcBa7HYFtqBKfuSix1k1iJb2exASDBrXbvY4Zm1KHFhpN0aHzSzxg6CcpvNq475xk74tayxw4w2lJDhaUkyQODUpLjY5nIFhc0eXhJQTFrIBoaxExA/zIY7vCfZfIKyD5ZrfSE3fs5mqF/HjzvSOeHlSLk2xjkMjjsxsFbp0+jSApAafUuy5+RzNolfSzKBK5CT0sZOQgIiGTumxgByVneA5LJUsVMAcYIZ6vTiph5uipgW5uM1a3PJvl0MuOJi5jIIedZZr0UzG+Wu0G7evEmSB9f26rHmeGqePh5pm+YL0svTHuxZpI9HFR5zeQUoD0YwbDbhyEpXyy8kfXxunD5eDNt0eT6EebkCh/s7Vh1wfumFOVw+cftKgenxgwHs2LDDc1QM5a05mcLcuOgDW+zn23DonfZg9xHEDmDsNJpwYBo7RbThyyEsSyU4vGFShT78kVc/FgBegaCwWLdRMbrFLKApGqVCex4BRSyN713PHBikdLLf7dpwVGX4TU9GnzEGgVwGIZFmBvYyCNVnbqU+V4EhonsKQsc3BodFC8yHE1zQcXpgGjqECUuD2CCYQq9YxLPUZqbPp2XWKtpTVJBOA9ZikYrhwoEWMvuWATCSST+WgcOGzFoEa/Ftt2vmQGJSd5PAGAtmLR4+Wznmiw0udpAth0xl080vXuj8dKiJnaTP6Hp9isPK6y3kc7iLtgYSSwBNJ9BSLSNbDGUQTAAY7uUgkysWOwY+0ejoEKz1WPq6jOmaQBXwBxXm42NHe8lBG1597MWgmCKyek00a7lGuFh7FDs24D+29rsvfIZA0srNI3BfPgv+YMTqDf6JjGmjcUcRO1H6Mo7Tnqtmgvqb9hwVZeL1fhXM2orjgo+srNkiYH0agp/MTscreANmuVmkygeXjDIIc/NCZgkkCXU3bUH4SDuWmLUmwGe8H80cO2wzqT+Gyp3jDP1Etthh5o2n5qxabn6CBcbeZNk/pcBaBA0PdqFkIpMXxs4mq8KQWSv5m/uwH7AsE9qpSYvN2UpmrF7dnI3moI6rZPUm52zBMtVkHqO+NorlpZxEJR13JJq5NmzToNbACGpveir2eRQ7GjkC7lLC84GV0byRu+/UnE3mNmLW5lh3oOTG4R5lVeC4Y7b5yzIJc8q+XQxhWa8DNBvG4841rfZVzqy9tlefOY4H+8sFlPYNFyrM8mrHPhwAJkseGaaPR1pYOdmB7ekcVl1zhmsRxdQumfTCrQNLADOf38rITnqB3SsCrllteDmBpu9B89gWmM5n68shDKs1aO3YTYbzAKdMesE6dnLa9GH/EcXODJZWsZN/TEc271nFcMc3fKkVZHJl9MeAt5cXnnEqEk4y2XrbdqeZrziM+lgLx3AhyadeWdytqMowLnJQN7CJ6fJCk1TbNXCLhYVwAZBkS6D0AuqfCd+rRD7DFPr3B+OUPm4yjS9KH9dooUcbHZrFlQ5YRNbPLb495VjQRXp2VfXE+kGofxykNiu/qnzGxFTGjTwTjVMAOA8Zc6bRn4ydTUyY96suMlV98+Ji7OqIgdkL/ZlspiZeDD5jdeykD4/Yyqh/acusJTaYInZkhyEYhzIIJYDGH3o7/Wd1waLY0frkmJCmMgjJ/jaSI7AHfvzVKijitkZmbdWOMT1VVB+X2JPrOexd9KDx7udjFcVLNT2rl7V9xtKzSx/n+q8Vd68heKorMLZ2gmMbFcE8QaFZ21ht9EFtWbUMrEVD9pqJ8V0nyiCUTIuLJU7vuD71xabG2MvIeETWtGpTLuaTe3aZY4eNoVjYzEoWJmgYWWOHmT+aGRUiFGVU2T3j9LhDm8qGYw6vCRwcbOaTvipo4+5Zj8YD3Rg7WGzmbKZqY7o5m4c6weWycjzCez1o1QKJI3YzKrDWkJziK4qLkVzWZCV/r8INdnMAk7S+l+vUuB/FjlS2JCnTZU9OoeJiQ8xw48DasS7LLd6x2BInRNITbM5mFDvlYmQQsLDZRaNlNe5E8+YCila/VuyxA2tR+uCbv/mb4Z3vfCc8//zzqf+u7fGy3sMB1MCHHYsCST4xa/P5xR20Yb0BNcMqnzaaOzJbTJfQdddQNUmp3njOfa+LswGlj++d7FpNePKmGHTnc3AspBci3zl8DkPphUOb4mI0ufMLkF6wYLiGAHYer70HgfTC1cfOmApuXWnszFew51jGTgH3WhpOoFdrbCrtmrnNpx970KVddaNFDpeKhOZnAYd3UKOrblYFNrEisGURR4VKuBRzLUsvsfC00j8T+EPDisIOn8YX8yeWJjC6Vyzqo2Bl4r2edBpQZRtYZrJg+mJfipT9peNRxeiILWGgmaFa0JnqxyIIj2y5BmnW+pljBzWcCRw2ZDjhuyUz9Mn2kny+yIiNTiK+ds+nvsYOmAjak9sbBgX3uNR1xUGxd/fQmuFaghNnCdVPfJZ+R81aW5uvXHnsKPw21wg0NaDcatilkHNAYix2tD5hAzitQwDfDRd3hmAtMuljsWN6yegV2eTLFYGPOhmEJDPtcram2LEZd/Y8h+618sRJDOQxKVq3ecaG444kdgIZhOCasWAl6bqKGK8cg3kRymNgunzsZMl/xy65BA18tnnAWlYMynQjidtYoz7eGKxNdvIoW2K+0XE0nZCEFIKmdDojzdr4tlfm2PF9cD53Sh9U7xgW+WJ7D15i3DE5jht32IaSNVgLWNAS4NBmzpYATYllieCZRXHkWOwYjD3J2OENZQgqGlZt4JPb1DFEa3XzGNTKJaBYwVRPzdkKmMewsRdjuSwoLsbmbMLYUUhX+dbFxeJzKV3sJPf2VSC8ksSAxcUOu7E5m3ZeHDiK/GYBTanoJ8bZQZfmbCSXZRE7eQqMUY2O3hg+X6pZb+rQ8TnXd68le6zA2p//+Z+Hr/qqr4KLiwv48Ic/TIXFjo+P4ZOf/CRMp1P4si/7skd9ideWsBGme1iljzPLF6WtyQzmHZv0GuY2u9/e/Uv6uWvBcC1CBqE0HMOg0YKKcfp4fmbteDiDjuuYaX0mJ8M5GJjLiyFMyxXoWOyI5+3vXQ/Z4XPwbTQOme8c9zoOY+foimMHpRcWVx47AQjfvXl1seM7LjTmC1h1d8zS+GKC+9kMgTen24bx0oU7RimwTLM2m6wGD/ThTj6mIXUbisW9UCfLEhzutCIAAVl62sIniYm4TXMilmQZgbed1AS8JEkfl6X0mUyGK5O5kpWZBqbVs87NvYr/Tin0xByW9z2bNL6mcVzIWBq0iCWwVt/Xpdi8GaqBs0WUqbb8eOnAZGVe5IX55L/u9sL0V4vK8ivXp0WOMnaSfsPYYfdnLAuQsWgQO/ztixFUP/MK/V7OwKydLh1p7CgOg6azzgCqcUBihnvdaNZyerkKADP5BlBfNBY7VsxazqcJs5az/ixgkJmmj6N1XBecWi0CSY19h5kLk6VD447dM47HTkyfFzc8JCn7fL4YAhP0ddEKXCGD0MSCrtUKVG4fGUukMMNxh+nz2uhp09fxvTquuQxCkgHnm8cOarZ+xUufgYPFDAD1avF4E2YtXejmn5ljB5nAn7kPldvHlrFbIimPrLHD7p0+swZrA2kLm9hJaS/jOI5SLYbtKoqdPXav+jYlY5tGGu0mBTxHi/ScTbcRq5izBYXNBkoJBBY7cbBWx6xl51dfm2qsf6CSy5JJBVgQJ6jAFxaiTcT1adb5qZFXcd2BjWyJKnYSc/GMMghuf8NmZvMJm/WOaM5mav54SjU6Pge2YK06I+3aHnOw9vu///vhO7/zO+Hnfu7n6Pcf/MEfhF/6pV+CF154AWq1GgG51/Z4mXM5hFG1Bk3D9HGynLnN67UD+6sFlCzSeoooCDU7CwokHRoWoSpKBgHTx9eWE568ep/9EFzbvW3DcM0GOPFWHU1gbMNwDRzncjo8H0Hd96F5Y+9K25NzOSLphWbLcPJOjvNhteu1C/ur5ZXHDsqWIERweMtGYzFf7FCFdmxTplqS0eQlW3NiwFu/EUzQbplKL5BmbXgOS598Cr2RDmVyN9+WQZBI2e/P1rRY1zEIeBem+md84SYCMBKLHGQPsArKRhN/g/daxkWeABxGQ1bI2UTCSFEwyBR/jslYyAzZEgiE3IhSYPX9nWwCHqQKrowkAjaFT8zbSCoNFoud9IMUPRPDBZ1tDCRZPzbgMLOV58OOoUZu5JeB31b+4m1zbSpbwo4uAbQ8D9y9DjT+6B8w1L+Mu0ctYmnsyA/LBtaGLDCKHeuU6lJKszYyWXpxIvaxuEw8dgz8hrHDiprRZyYFxjjDftFGrxat4zmwZqxWDqzVMWuDWw60L9FsdZfR3AeXsPqtF4ICZ8wf9oMyFmhEK/RhuUZRpeAago8MwFpsT6sVSRFgO67/gS8CG6Nxxw1HEIu+iX7OQimNjDII1XLJOHZwTgChhAj7twmzluZc4X3liZ3KdE56ltXX3TE+NjhBoBubNXaYDAGaPbMWYM9i0yy83LhWrkURTbRY7BjOsWXzmI1Gu8GG6Gi5AS9NJY5Um79MM1YhIzeYB3O2GGNas2tvNGejsXAMZQnBB+cxR5JxR7rBbjEndi/6xGbmN02j2LGSI7BfxxKjGLOHwr4zPWcT+RUxa+2NGMVhZo9xcTHutoNCXxkcc2zmh9W6Vf+kkw+7tsccrP293/s9eO9730samRgwyKZFe/rpp+EDH/gA/NAP/dCjvsRrS1h9bJk+TpaxVwrt8sEAcKresQFNE7tYmWwwgkG9CVWbRU5O3c35bEnp48bFS0KzmcQK/Z4PYFkqw/6xTUXt0DdXQMW6uFgG6QWUfMgF1p6GDFcb6QUNo87EGuMJTG0K85HbPPugQXExih0rhmso+ZA3dhoNqGo0vIqMHWRpY0vsmoLw/OQlwzNmwNv9cg2a1TIctPQLDrbQ3qx9/UzpT3gcThBvaSdqaWatKTk8YGXGU/Y31cd1k2GeuWA+GSZwWMBQUQLTkv4A2QY6n5UxMmLaKXAY7XyyJG1TfuK/WRiombWyZ0xtBhlsihT6oMhLHSqskRisYGREmShVMEzXk9nCcaGHgBNLzzRsI0n2Mi3YXc8YzMT2VGfjqy1jDhmYyGpCrUKL8RKPW7oe7BjqxkZ+SwBlZG5O5sZ6kKJ9BCuGK5Rgx3fB6+xA9a55WvPGfykspGYHJGLsNB0nA1iL/+cLY8fo0DB2eOCUUvNlzKHExwiGx2LHdNxBpwhcmoK1CceThf0zRrB2hYVa0PhxUjdmhsGOsWM67iSv2n35Iax/N5DW2MgglLQsUMwsYszaDUoX/gPTsCUxTO0JQSXM0gjXezaGDLLgIi36Jna3LHsiY4GxukVbwv6IjsF+wopZu7mvPLFTGwXAIbKXraxUgqXjZoodZG6yCvUk0WQot8XGHWxNe6aFigR+I8AU+wnD/ioeO2bkDxnblAp4lsxA6mAewzJmzJ6zah5jsvkrLQhroFmrmiuWsH2v1lToSuxXIdEik0EwlOmiTeGLEVRuxDGB88kqiB0LmS6VvIXMvItBTPYC+yfUyMWNHbnf+BoSf+PbsC2BAucwKL9jPu6E5JQSyiBkW9y5/TEsGw0aM1AD2dbyZKa+1uyxAmubzSYBNhigt2/fhhdffDH6W7fbhZdffvmRXt+1CdLHFwur9PFIdzMH4DR50KejD++YT0CilMgciFOLCiRlYLgWkD5uJb1QgAxCeTiBYbNpXlysAGbtZDiHHc+FhkVxsdAx5C0uNq5UoW2iOcg8MjzByx47e0uMHVsQPt+9jh8OaDJ8aMGYjuaQOcTgm5OZlfRCEbEzOxtAv1KDWweG75XJINDkxd4fA95eWpXMiovllEGI9FwPupTCh4w5rb5cdElsgmjeE28KOMT1anebVWgrU3WzFRijCTgVbYiPLxvpBdliWzbx13eJ5clCyohBMFyaPi5l1oZ/ltzsJmXfRl9Oj9YG3/DFYG2jvqn4LrEHowBYsNHwC/zGF1d4f2imYCbe63E7BDOMAeJN7LDFqs3mJsYOSqHuWGzCRsDpItCJNtZGTPQJe80KdCylF1qeC74WPBQbPtLFyrViX0Z+M4G1QSwqY0dxaEwGIdQ8VoM/+ZjLzG/dS8guaGUQ0r9ag7Wuu2HW4kUgSKsCppPFoEKWnpVsCYudsHBb7F4bNXk/ER43W7mkCxycJPzJfsc+TdEvttYBszaL3Q/HHbbZaWL0SH0P6p98KdjMMdGOpQPjv1p1EyHruIZ6xAhm4TMx2bDmAKQ8sVObzChm9ZsNaf+rtZ2kRkxCxPPA+fwDqDx10+p4HHfwrnetmbUJGYRhUFzMNBZisaORBIh8SuZsQQHPtra4WCD5I5iz6Zi1inkMAcXYZyjGd4qdRjU+7miek8mcrTKaS8derVyWbO/NUMeVxn3XhXICrEWAWB87Mpku31hujQBTDqwlYFoXrylGb7blDsvsSc3ZjMkp2dEY9N2rN+zHnShbM6Pj16A9VmDt29/+dtKnRfvqr/5q+OEf/mH42Z/9WdKyff/73w9ve9vbcvv4/d//ffjjf/yPQ7vdhlu3bsH3fM/3wGq1Ebq/NnMbXIyh4XvQSnSQ2y4IhQvAYbUOjWbtylK5V4sV7K1X1gxX7IHzBBkCTpg+fmBRhIoB4nl6wvYMpRfsGK55NWv7oSbw/p2DK2XWovTCpJWBHU7LhGwA5iCUXtixkF4oLHZq2WInq62Wa9hfL61Tk/NKiOCk+bza2IA/pm4zTl4CFmjXTl8uhwxCxMrs7ERMI70MQppZa6wJJmBtRKnyOpdCTTC1X6xgTazMBHiKjE/UGJUC05RCKrgOTf+PC0wCaxXFxbAtRczP6OYU6b4alkYw0ZYDmWvXo8IcaX056SFKRkpQNbirnVjjYgNZIXi/duBP/NKi9EBDsAD9HrPUQVtmbaRxXIKSheY5xg6OIS1bGYQSQHsxzwXW3rLtm0IZBE+rYyo2ZBnhwtmmaBBazXWh6TrW4Bq1HT+Qt0jFjvbY4Ce1AtRSZUXNVGBtKV2B3BpwghLUWSEz9pxrOhmEuONqCazHnTYya2ubYxDsMWIlhv2rkQyO4FA0LLgVWRirjXc9D/W3v0F5YG+24vb/EqAtl8qftIrvkQyCcaE6qUSL+TwXv/pl8yGUZ3NovOtt1pXLmdWyMmuXK2LVmmlbbzbk8sRObTqDkkWRLWYelEhCJEvs4FW7D3uk0Vt95rbV8afjBRES2nX7vji2SXjeN5L6ifzysWMqgxD+TH6VNOENnnmsuBid0IzSqZrHRLJRijaG7Sn1XjVrKBMZhPJ4FjCpBRt6bM4m3SSUMWtNM7DOB9TfJFm9wjmb0Df/K1vbmRnKjOBFMlYvztnOJok5m9AvJJi19usOyq4bz6BytEexw+ZsdrJv2cgplGnXH8ErZUsJBM73tQzCqxSsRb1aFigf/OAHiU37dV/3dSSNcHl5CT/+4z+e6/z9fp90bxGc/c//+T+Tj3/2z/4Z/I2/8TcKuoPXlg1PA9bngXWBpHzWGE9hZpk+HsE+GXGu3mmfztBRCLdLHOcyvz+2Th/fHJzN52y6IOkFY61PZgYDusoWF0OYl8qwe2A/ucxqyOTfm8/BtSxwkZdZy6QX7GMnX4Nqjqcwzxg7fo7YKWeMnax3i5OAOrJ52zvmaXyMWZvxXnGi7O11oD93zFMWw9mojoEp84dAJoLp90cLApuwMIeR8Zq1Fv5IGysEbPBazXRyEzIIhsxaWUqfNI2PN1lKncKfP5rRRkhJwqwV3quOkaKIHZOUfZz0495XTIfMYAUjw3MDcFi/QYQbDlEKrMVmWPKrpGFnuGier12KnRP2Xi21KKMK4LtiGQuZYexg27ABYcgvAmyLZVBwz3R8TrjAZ6wyf7GE5f/7CdpIoMN9gJbvgq8DDxXavDYFkpgdTQL978rNDHM9UUEbA+NjB5m15W7Q7ygBzCRbyfetCiSxUzT8gBFJsVKpKCuri/zut6pW6eM+ynB4Lqz4TQ28TyNQvkSgdH++tgbho4001Lpki/fQJ1Z0l+urBt+9nK4ImBaOLeWycDzDavXf9OLvQxWzKI2lCPjT8+OOnQzCs6s5rG8emW+ucOANs6qNZAMDa5ENv1jZaUyH95UndmrTOTFMbY2kLZLjjonfEHNzP/+QNulsN+ipcGiGTXo+k8QbT0mapnLn2GLc4WLHIHMl+lpizrYp4KlvXzRnq3JztgR4l5VZq9LKpdgRtie13IDJGgCZtSXJ+46Aadm4I7kp3ZwtNq856Kb6aVYkVWkJdr7ha4jMvRgE8+KwT2Fztjva7JX4M83Cr3IRKMa++sY+PWMr2RJ+vZNhzU5F/FYOvORXs28SXssgGFu27fkt2fve977o33fv3oXf/M3fhE9/+tMwn8/hueeegzrTc8poP/ETPwGj0Qh+5md+Bg4Pg0mn4zjwV//qX4W/9bf+Fty5YynC/hq31cUQJpUq3Ny13B3HwTgj8OM4HuwvF3B++9jOZU5mLRZIQojr6PZ+hnvNzoTcmU5humcJmkYyCNn8Xt7rAUbH7q3DK2XWVoYTGLVacGwjvRCxiDO5hHF/Ak3fs5Ze2PClszleXwxIeuFWuAC1cJw5dlw3kF44yxg7WZHpCYudO1cXO5jWWcPFoAUIzybfwU6znV9cbCNQNL59AjBSMAhEThFAYeexZfIe7cWYRkYps6GfkoUmWOQPJ8ThOUYLB2amqZI8cyFipWv8YTohpnAmAAO81/1mFXbqZkWGNn7VXeKmom+6zSAbESv8vuVW4m+amb0KhI/8KRa0eK8YfnFQT//OROwblLEgjWONXi3z+9QB65vs2GvMbwCejqFmKFfEqkXbFLQJry7wh/9hm7GUZaJ7ReaNZVeDcdBZLKyAnyRae1Nzr+75EJxPvQy1Nz8TMJRdlzTHvYwyCMhualTK8tiR2NFkDKNaHdq2TMgwAPDdvvmmbaYOL4OAzNode7DWABDnDUHxt/3mb0G1Gviqve4OuCYFkhJdzqGlfh9JzOD74UB4uk8dSBz6ZkW+tMBE+lCa/6A+b+XJm+DeOzMqgMWec2+6hqNKYvdNo1mLgBLOJD574wTeZjkXQRstuXHHZiPJ8+C2s4TVwV1rn/yupg3/LWLWuhtmrZm/oM+l9PGMsVPxfajNEay1Jz8sHI9muDaxQ35D4AfHtmSxJ3Ow1n5azQNd7v0LYlmabiyxcScWOxmZtZQNhFrM4bxM5zcmlxXNzTRgrWT8xzkobf6+6Sll7KBclpBZq/Cr22DHProynkH5yVvS94qgtHLcycOsReJC4pkz6QV97Mhkugwzzi4GJIHA1knUhgFIs1bnNvQU/WoLmhKjGNn67Racjs7hqX37zS+LLjTuG0FqvN9qA96XlVmbq4jQa8seG2btYrEgGYRf+IVfiD7DTuyNb3wjPP/887mBWrT/9t/+G/yxP/bHIqAW7Zu+6ZuIXcf7vTYzq42mMGllS2PKCnL1zwdQAx9aVsXFuDl8RvAH6f6DegPqtumHOdiBy+U6kF4w1PvjLYB//MzFxdYkvWCftk6+M/a/nQzSC5HrjE4HGRmueZm1tfEUJtaF+cx3/UXWexjEzk7G2MlcMbSP0gsYO7Uri53VZaCVuWMl0cJ2mu3TkTws5OH58KBSh1qlBEdtw3sNJ8m2mrUMHGbAYqxQhdZfRmYtgbW7dsXFyElCE8yCWSuSJFAWqiAHMmatenKIQJ+HE19BO72YrmDt+XAnyQzRySCwc0viglL3FItpkgVoY5vipRcM2Te+XONYZZj+ioU5IhaMxWYYz4QhAAoZkXtm49f98ZLYrQeRZq0pQBw8ZdTONGU18YaxUydmrF3UU6bN0hKsLdmBteAEYI8f/iyHhba8rMzaDIXUcNF6NB7DacueoRfg/L44dvSHRv6RoVjOIIOAaaGx2NHZcg311RqeWQbFjRHAbHz5my2uNrAD0wyH0Px5IEOw5PseYxmEoBgUxo615E+pBHuhPm/tLc9A62v/kLn0As7HZytoJMBaX6NZi/e6qFbhhVu3rYpPCdPHLcDAymAEVfBhbZsxRsb5segmYmDtYm2tkysddwwOP3DXtLGfBaydOx7UK5axw23+epgSb1EDgqWP4/0GdTIs+2Ju3HFPL6F848C4bbFxJ4qdHJq1JP9QKkHFIItMOmfTbcTKsmawqJrvK8c/KcNVc8+beYz4Oz5qIyPAL2XW6uZsijoDmncRzYUT85rL6RrWKJel1Y6N+zBUo4jMu0Rpqfi8GDec66bZGBGz1pw4wbN6cVPE8XyKHSstesaszch1wgKCi2YT3Go107iTZ/38WrTq41Rc7N69e3YFjTLo1X7rt35r7LP9/X0qZoZ/E9lyuaT/mCEzFw0BXvzvC9nw/ogdI7hP/Gx3MYf+7RPr5xAUGAvOYWuj0z6x9A5u7dsd729227L4bU5QeqGd6dis93p57xJwr7B9cz/DMw4LrmRpo/0xDBtN2C2VrI6PFumuK20zsvY0Gy+g6zowO9y1v9eQ+ZXlXhfnQ5iWK3DYDYobmvuEzP0Axc58Dpd3b2W41+ztaXTayxU7uAjLFDsovdDZKTx2VO1p/KBPiPrxkXnMsgkbVkcl4Mfielkhpc86ZbjVaUSsGK1PupENkxcLz3mefgFKwBsuive7MFmsYbhw4Fa3pr3mqAaM61LBOJoMG9wrFlFA1kbpuaej794fLmCnVoZOraw+PpwMR9+J3aunvMfK07dj38HzYIGMr3ha3oYpbVrULuhzeXvCyrZuR9wP4L2i3ezEnzF7b1QYVXTe6O/p68E2g6lzxAiVXFPAmK4njsVJvabfwftMxA7eH7Ld/Ja6r3swQt1ATJUP/NICzbB/DeI1+K6LYDTarlnsnw4XAZOLtVHZM5U9Y0z5XTtQ2jWPeSyQhLHTqJas+7ea50JrvZben7B/SoR2u6IeY70Q7PGWa3oWpWVQX8GpVuzHDt+HpetTzNoc603m0Fqt4P7+CbzD2ucGvEvGjtHBaFhcDA2BLlwA1+T3nszqQRliq3tdBHP9PRcLmpXBL2O70B+fBDGQRWblN9SMXVY3z6iCep+VzbtSjXertQc3j+rG487mwn3YxXtFw6JEzWRfIzvMj+KnzhWLoWv0ApYvDi6ifgrvdV6tZZ5P8OPOomQ+B6tcDmFZKsE6yzye39W0mGv6vAzCbAHl4z2z5xu2Zdm4oz+BD0duWIul20q/A0VbQpuvPehq+iaZX7xX1JiGTtqvynDcwfAljN+ybbBxx3VdktmovnkzTzEfd8LYoTZl4F8wZ3MfXJIUgI99h+J4jJtBYs4WZaQYtGfR83HPegHytt+RHh/FTj0+BpBv1XpRMY8h3xdBOr7IN5Ne+INPyds+9p+yuRm2Cd08kb60F/d9bzg3jx0uFtgYYtIGSDMWN6UPNr6xPbG5k9pl/H1TRp/F2o7awOUQqm99NoqdWxb9BPbNyTmbLVB80WzFY8fQIskSzx4r+EIym/t7bMBatD/9p/80/If/8B+I/boNQ81aBGeTdnBwAL1eoL+atB/5kR+BH/iBH0h9fn5+TmzgL/SGNBwOKWiSIPoEdW88F85bVTg7O7M6Lw6o2NHYHoc2f3gJo0oVStMRjKfhYtDAPEwBx+Nn80zXu7daQv943/rYJRWvy3avl59/ALhH6lXW1sdjV7herTL5bU1nMO7sWB87m83o5/nFJbTmdav21HtlAE/jd1ola7+e79E7ynKv5cEQho0GeBcXVseNhzNAntFoPIKKpdvpaAG3fA+cK46dxcMeDCtVKGeNnXmW2PFgb7WA4fFe4bGjak/rsx6Mqw3Ymw/hbGl4r2sXaG/e82AyncLZWbwiuMoa9x5CtVWHl0ZLeKJTMb7X5nIJJceF0XAYjStTg0JH1dMeIM/scj2HV14O4q6+xmveVPUWWWU4JsD+8uIS/Gmd+oi5q4+58nBK7X3gr8ELv/vSxQyOmiW6ZpW1XQ8WkymswuP6i2Axj2NuYyWZgqwd6M6WMC574HDXNlp5lKLZ8rAtBizDpNWnU5LASN4TjtdY4Vp4r74P7d4QpscdmJ2dpdrTiw8WsFsvwah/CXxrqgyH9Dwvzs/BFzBy2QR2OBrBWTX+bnYuBuDtNGAkefZumMb3TAdi19z2PZhyz1Nk0+mK4oM/rvngHMo7DTi/UL+vFy5WlHJVmg3gbFGC+mxGBaZM2jROvlns1F45g0a5DBezMcB8oj325f6MYgfrE+C4N+gPwK3oJ7PDURCnw5fvA/KZes4SfMP4e2UcHFvyPVguFzC06KM60+CeBt4mJnT9E4K7fIvHe/VnclZKrT8A5MoMLi7BhTXMLwNJmf5sCtUzu4UMxg4u6Kq+Y9UXV3pBn3FRMe/XouufjKmQpih2dIax88xqBs/8n5fo98FsAs1qBVbrFQxk1+H5QR/Ort1y7lUZTOhe6VSVsvGxtemU3hOz0nJq5bd2dgGVUgmGi8XmuG7Yn4S/y8Y7HEOQWbtfTfd5JrGz6zkESp8P+wAjM6ZqabmmGCUpnRCcddbBPLXSD/pEBxfii2UqplrDEUzLZZjz92phNO40gnGn7fswHU+UfSGzytkFPKw2YT3oQ8MJsgxMjd0rms1cEzeq8S02HQe8tQtz34G1wbGN+RwqjgOfedjPHDvHzgrW1QqMhwOruRMeO3M8OKjazzNx3NldBxseg/VC2C/qxh0ci6cTs3caXbPnwnQ6hYtX5tBZOzACBG0Nx4D+DO5yczZqU5Ox1j8bd6I5G84hTi9hfedQOqYnx53aajNnK4/nNMfCeZHnyLEF2Zyt+fIDYjOf94JCzSL73MU8ip1k/9UQzJmY9Reecs5Wv/cQKvUKDId9KI/j7Wm88gj83/Hk8R7M2dJxtZgvYC2bswnmwnC2KRb/mYcL6BrEDo7JCB6yMUU1Z5ONjX1vTXMOJr3wdGLOpupXxqMRrM9qMEGtW8U7SFp5uoA2rh3KHrxw7yKIHZv1judlXu9g4d9OfwQv7d6AvQzjzjTECnAdMl1MrPqnLyQbj8evTrD23e9+N2nH/qk/9adIv/bmzZspzRsEdK/S/ubf/JuxAmTIrH3yySfhxo0bsLubJZ3m1WO021Mq0b0mA2Z29nn6+cQbnoCOZUGoYfUebQCenJxYX9Ns/imY7uzA6yyPxXvBKUSr2bD2e/7KBenEHTx10/rY0Yu9QL8mw72OPvoySS88cceuoiraQ/gE1KpVa7/LxRocZwXLG3etj11cBpO0w4MD6O63rdrT6FMXsCqV4Jk3PGndOc/Kn4ZKuZzpGZcXH4feybH1sVU/mAB32x3rYz939rkodkTPSRs7GdvTfBHEzuuvMnbuXdIgc/Bkhtj5jDp2VO3pcvF7lLb73K2bxv6QBYNT5Gq5DM2dHTg5MdPaRFt+/GXwDvdgsPTgD7/+CE5OzMaGVfMB+Ms17O8THA5Hx8fQbeiH5dUrffA6LTi5cxs+9VIf6pUFvPGJ9HiZNNevAk5nj44OodzZgcYr90nDUvdunNErsC6V4OjZJ6FUCdKoe7//Ejx/u6t9TovqC1Df2YH90Edlilcwg/2DAziJdFET1/mwR9e5//TdWBrn5RlO7Kbw3JMn0ue0vpyBUzpP3dNO7xwqy4XwXpH1tFi7UD/eh4OTk3T/9Pl7cHe/njrWXZfoOo+PjoVVkAP2xISKpfJtAj9fzD4OjdfdhV3Js0eNXNefwBvvHMWe07zy+9DmnqfIuosBwINV7HoXH/0slI8PoKN519OLM7jR8eF2GDvrh2NwygOj+K2+MIdWGDurz5yDt9+Bk5s3jdLzB8sxvOf1R3B82KA43N/bg8rJDe2xwxKmrM9hF3vGagWOn7prrJX4qVkQO+16kFItexciu/E7D8FlMSEYs0T907L+efAgSLFHOzo62qT3C4yePTI12x2onpzAoBcs4jvHx3BybDd2YOzgvGt3pwlti/t0xmvAbZFF3b7/d0YrWALGzo71sRgjt5yXoeoGQMHByQ3w210o7bVhT6IjS3HF/V6vVKBr4RfJiGy5X2mZ3y/1Odzv+3u79L5MbfXiGZzWGtBqt6X9qWy8WzQegusu4Nmb+8bjDh87S/dlgJ2WUZwyQzYZPmfEqJrIkoU5VCsVel4uqp/g35AJXa+nYmrhfhpWKCnWsG9PaP3ffwneFo4783IZ2u22si9kNvE+A6NyFW4rxh2ZTSkbMABxyuWS8XUvK69QhgMWj0PbvX0CFYN5xfqVPrjDOQydinDc0RmxGd0XYUXt6cRq7nQ2WdI1t+pV2LP0i+POgRuAhUdPP2Elc/F/wnGnMqtA3fCdJsedw1rQ9g6eugPlbtto3Okvx/CHuDlb0KY6Wv9s3Dk6OoYuMulHU1jiJvOzT2jfMRt33vTkZs7m1cc0zz7cPyAGtsxwzoYp9vx7pX5v+HtQff1dZX/X42KHN6e/gDU8kLazYM42lc7ZFh/7HKz2grVQai7O5mxPnNBzEtn6YgpO6dJqziaaC/M2/Pw9eMIgdpaNl6FUq0X9FJuzdRJzNmm/T3OOJ0izFmOH5my3j+DkUN/HzEslmhviWLErmLOpzPncAxqXD599CiYv9il27tisdzyP+nAsSGa73nHPB7DyAV4s1eGdGcadRW8VESW7AvxI1T99IRkqCrwqwdpv+ZZvoZ+np6fwX//rf039HV8e7mpmNWwYiNaLGLe8ji1vjUaD/ksaNqAv5EbEP3PRva4vRzArV+D4cFNwxuKkRP20fX6YbrK/WMDFE7dzPPvgfmxs+jBgCty4e2x9LC7iSDcqw/Wi9MKi0850LMogoNke238wIBZl99ah9bHlUMiVtRmb9lQaTmDQaMFB1b5LYrIattc7QbYg7sjf2Le/1/D7Wfyuwti5YVDoR6ozlCF29jB2nrz62MEp89Fd+/ZUKuljR9SesBjNzmoF/s1bVj597p3a3GtQAXgMs6fuAM627+y1zP2G7xM3G4JfzcYVH7U5D3fpuw/GK6ruXglBVOVx4bnL7LmFWm86n+gP08sroVbmZOnAeOnC3b2m/noT8Rl9X9FPuKi/Vi5DZa8TA8IejNfQqVdgryVnI9I5Be0G7zXmnzNnGABoHlawTrQnZEucjlfwh549SLOQovemaS+Jv6OmHxX1OQjeocgeTgLm8O3EM6Zq2Rp/2Bfz75WKNA2nlFqte1/Ynu5wPoMxzIzhEMwFgmvzhxOo7HeNjjsbBht9QXsqmT1Tdq/sOgdT0q0ziQNmLHZKmE9tOU4fLBcwRrkgxZiV6p8SlZpZHEqPD4FK/EnnWTu0qYmgtG1/irHzRKlE+oxWx86XsKxWwTPsm2LXj/cH2Cca9BMCw/HZqdegcesw6AuO7fTWsW6cjV83LNSFhtrVpsem5jOWYyWms57XceFWsh7v5i6m0LLYsZ/H3ECEei/o90zND2PssFmD0mqjEIDniPjekrkvAr3LcAPOes62dGDEjTvUFxqep4SbseW6ctyRGaXns/PY9BMoH8Sxcitds/k8jXnE0lvBuwXjjomhDMKyfWg9F8d+Aq8Z5S2yrAH2nTXJaVRM9Xkjv6i52QA4CwpQ2/gOxvYSwHgaFBfrtoUbaOpxZzOWm7Qpvk+ndj8K5hDVo12tb+GcrRz8Wz+2p+cx5Hu5oqJqsmOnqyB2RH0xK44lO7bC9FcF10Zzi/4YvKdPpO0J52y7rZoUKwieV3qOkZzHiMwPaynE1gAWscOuKf09ffunefh+FyqkeR/cK9iMd2FdjmAurr/XmGEx1Z0mbSqy2LHqw9l9B/kRduPkYBxkY1Tqmccd0b9N+qcvJLO5t8cKrP3sZz+71fM/99xzKW1aBG8RHMa/XZu5VUYTGLdacMMWqA0ty1HDyzE0fA9aN/SVNpNGi8eMVZKcHhZIqsMTzdqV3SumfuyvlvBwX1xdU2fBvdofN33Yp9SMw9t6gfyUMe2yhG6cibWnM5gc2C3E8lr/fg9wi2Yv070yEMT+0OpwAiOMHchm9uWvAIYXQew0rQpuFRQ71TrcFbAOt1VgbN0LUksaCnaC2B+Dae2qlJJm1XIN59UGVEquXTX7sLCCTQVaAof7I6g990yka/oGU5ZdqqiBWTeB/vgCDpjqZVRcLHQSL+CgL6bm9YNCUclFj7ZQhbKysDxysJgZFi7yBX38YL6GpeOli3IYVksT1QPDQlhoumIgRzs1Sv1OmWWBMX8yx/xdKGmKb2GhiofjFbzjDseUsChAwWKHdNiGE6ii7qaB4b1inaIbqPccFtEyL2oW/sSK0HftqstHsUNgrZ2sAG4c91stsKstn+jRdMVTnBA8XDv079LKgWmpkmncwdh5HaKXlsci63xZr2cqQjJde5QGftumT+QMGYnLnRbsvecdmfRFrcePUBOYjm1YzPeS82Ab/b7VmqrIXxztkmxDlmJQOEJT7Fha86IHd9YLcJ9+vd2B4e0e7NQAlkzUPvEzBGBS7XnlwAL7WuurFYw7FgVXCaytNjPFDn+I1fHos14nzWfatGwbMqlKuMHuk+SPcNxRXStu8Pg+HLprONuxLwCNfeJN3AzKMPnC17HvrqG8a1dczA3HnbfjuEOObQuMBeOON5zSprIJUIuGWqrRuMOfzMB/cuinMb1Rh1JT/76EczbDItiiORvq9OLxFcX8XlpcjDlXzmHkczasZYCbEu6uuK09GAdzNhWpi/4mOLeu1hvNMy6HUH/7G2Of9+eOeewI3rdpC8R5I19MDp/xIc7ZjIt4bu7bsK5dZG5vDOXDbjx2MhiOHTbrHTSvN4bFTotA/izjTt5i5K9Fe6zA2qefRtXK7dl73/te+OAHPwiDwSDSrv2P//E/EhjxJ/7En9iq7y80687mMLxptzDKW9F+eNoHTBA4uCNmQessK+DUGE9htmM3+YiMS5+ysd5pAJq2b2YAEgPHmZ4xVkRH6YVdy4rRzCOdw9LvfL6EPWcN86OMsiK2oxzzez6ERakMB0f2DNfNvMPeb3c+h/4t+/Q/5jjTRsdpj2Ln8PZVx84EZu2MsaOE1+Q2etgHhAYOb2YDa2nyYuGWgD4A+DxU4aRboQrk5i6DCrCb2DEDT3DBi+DpwnHhcraGP2wCYMZOEhZTo2JVmq9i8YH+BOpPbTaOsMhXs1qGg5YBoJF4HCbVdpGpnKzuyybDf+AJTT8hY28ougl8hwScCo6NVR+XufL1C8lUUYx6VSidEPkNFzmSEyotueFA/ggcVvd155MVaeXG/Zr3r+wZI4sXdc1k1aFFi+aTboNih2WFGIMwpRLUMW1uMjP2hxaLnXO7kshYRLO7XMBLB3b9aap56Z5rCNb6jgPz//prUJktYF6uZRoDsB3XcVy37MexIBSBtRkWVli8DWeJRhssAmv7Ljg1iwrXybmP5UUjcLqu16CyWkNVoEGtdBk/k/GhWE0c7bzRgpsZnvEMAfFK2WrcYdb91Ofgc7Um3LlrKXkVMr4PW1Xwe754bEE2XrLY0DwQqVhUs7UnHHca1TLss3HHcLeRNgvXDixrWeBwlA8C2nQIT2Z8nL92YdkIwFoEak1BRGxQmA0FGWJn+T8/SpJOOINftDKAteMFPFPHfsI+ixVb4AGCtV27uTwbd+6we7V8SWwe440mUN7tWPWJbNyJmYH/aNM5/B03J1Wbr8xw4xfHnfck36sh8Uk0Z8PxvYRsYoXsxGkYO7TBkj6pdg4Dkq94YXFdt9uS+v2Su7sZN9jV60mae+M8IwFS48akeeyk+5BgHqPZSMUNVGxvzz2tn7MpXDPnonmimrAxhtqbnkzHjqnriJxSoswBG0PyRq/ehJOOIHYsfJuQU64tsEfOL8YCC1lMVhBMZd/+7d9O+iBf//VfD7/wC78AP/3TPw3f/d3fTZ/fuXMn03W8Fg2LK3U8B+q2zDWeMZchRlcXQ5iWK9DZs9Nqi1VYtfRLBZKWC/AFwIGJYZ+UZWE1edindLKjrMB0Nqw2kl7IYiyVxpKgBL37ffq5eysbMM2nmdlYeTCGYdMiZV002FiOcuNBIL1gzfqMHGd7ryi9MClXobO3c7Wxs1iAbzCBLRKYXl6M4LJSh1t7lguVUjaImCaM9Sp8dm7PgmGTNRO2acwftt/DXdpRRzOeICYWBCZrXX8yI1YmD57iBJzSx40WGHGwb0Mg8eVsiTC9jLfx0oHJyoXbuxrwRkRl1UyGabEj6ePxXncbVeiINHIN0Frx4iq4P9nzI+mF0VIC1pqwb+I+cUFVatahrGG4IwsGT3+Tb8em9GsudtxwAWcM1uK9Mp8GbOW4T4CbKJSJGT8WYG0sdrhFk4nR+0MGj4XmWHCxdj0agrT0c+VQHKIcwhzTJS07YxY7DWJpWwKY0zmsGsistR94+ovg+tsI/mRk1jqh9Iqx8Y/YlkW8XINTr9P4gSmm5j7twR5m7uWQWP1jBDDB3mYrDxpID7Q0BBtq4yl8vNHFEcjq2PNQouWgVd3cK6tuHjFr4xkV9LdZEKeLGurc2t/tg7CfYKngvF+lISsddT3L2WInATlbPeMl6mFjE+lYzL1I8s+XjjuLX/0YOC+dCg9F0NC7CGoqIPvNxqhA0mgFrQybOmi11RpuOkso37Cby5/y404G8gUbopBZW7ZYH8bGndjJDJi1kGbWmoC12qwkI2ZtevNX5/tUFDv8SZVzGHZpvrD/KqHuugAoHodyWfo5WzZmrXfeJwY/yiAkN3+7jYp4zpY0SgBIMmv1awBk9OKXKqE0D4sdqzUAd4MmxIl4Nt+K7jsWO7ZGMkV25BRk7mMf80qplnkT1oixcW2PF1j77LPPwnd+53fCxz72Me13sdrjv/k3/wa+/Mu/HP7JP/knmTRrP/ShD0G1WiXA9vu+7/vg277t2+Dv//2/n/HqX5vWux8A5ZnSx3MgTlWUXsjKcA0gEetJwOBsCDit3MmQPp4HcHJD6YVGRukFGzYUs/XaIemFUmLgM3eZbbcMpRccKMHBzezPOMvEsj2bw1pSqMTEJZp/1bGTkaldG2Ls2LMscsXOeRA7rYyxk3WjozyawLDZhDqm/Np5zMisHUFpvwtn01BzzdYnL4Ng8G7RHzRqxMq8P1rQzvZx2zDNOLHCCHA/tU/GnODBUymQKHKZ6O51WJw/mhEjK8msVTFcEx7lMgi+GBDDVD4Z65SAaZ1PHbPWN2MOM+vN1rByfYX0gmZBl/gGvkMT4BSZa0ftGjFwYu4M+xzcryOGU28YpKMaFJhxsALyhGtPlp0rfh0BAr9SJp+mFoudBLhtsmGCXx+Rzihsq7yMPAABAABJREFULV0emXkRyIWMZdSnqzashzsWOw2qWm5+HOkRMhmEDAurwdzJtSjDjc21RZGiwJUlkMcfu1qDV6vCv9+7DbW3vs7iyOwyCN75AMpHe6TVbPuMMXamjkv6orbGNv3OCCS2c4xgCNpuHcFaxmJmJ2ZgbbytoU63e/+C/r1EGYQMbSI17pgya5cBuIyZVFliJ3aIKaCCjhyHmLVoqkKCKSvhEOhLxx3vwWUwDxD4JCCHiheVwbGsAdGfrWHpetBuZNtc2Tu/BOyxqk+ZFzpKjTuhjr6NYeuvonzOYhUrSGo17vAnM2LWcs/c9UjKxMQ3ticcd24k52yGm5TJvdqgZkJ6c9tqHqNl1srJBKq5hVp6IeFfcAG61Q4WuiqjRjDT1OX8agFi3rkvnseozMUNkVqVCl7ysWPHrE3IIBgeRkAxbYZ3hXM2c//2sm8I1GIf/xm3khmsjZp6BsnE16o9chmEX/3VX4W//bf/NnzJl3wJvP71r4d3vetd8Pzzz1MVOCzshZIFqGX7m7/5m/RdlC/43u/9XmLDZrE3v/nN8Iu/+IuF38dryRbnA1iikHyG9HGyDCAMVgfcxfTx2xnTxzOuF0YP+oBd/mFGhisDa/H6bRicJL3QzgYkZr3Xy9M+4BvtZARNI5aY7WwYpRcaDdgTaTOaObY+ZDZdwK67hllG6QUsBJVlsFky6YXDjGzTDPAltr3uIn/s2C7oRqdh7Nw1rzKaN3aQlbkzn4Nz63YGf5sfVpOX/hgWRwfgTQDuGE8QOZ8kgxA4N2lOlLJ/ELAykWl0s1Oniq7ZNGvT7CeRP2SZITMTbb52oT9f27F5Y8zaePpgyl+Ust9JTcBbmAIrqSgc96e9jLR+LIKnziJdVXu8hC97UsKEN9GsxYU3d0EROPyWQHNYZPhe0W7J2pOmnSQ1kHHzr/aGJ9QHyRY5Nsxaph1oCA6jnY1X1O5T7cmYWVuCW84K/N20xrHK+NhZ2wJswwlM63VwwnHA1DBdMWY6l0wGYToLfn75W+FXPjEAW8EwFjuYLm81PiPI5XqwqtfB28i5Ghm2vf6C6Q/bz0iwL2/5HlxYMmvRUykrWLtcg1utwsyvYNVH8wNT8haG/jwP3PM+1N7yLJRG9hvdZ5MVgdNYNM7WEOzDIjPIIrZdMz+cLOGLw43NlFYt+5nocFcf+SS4r5wRwOFVquA7dilYOO70kuOOQZYBXdKaA2szxM4+6wMN/ZGhjIHnE1jrWzJr8fuoRSkbYwkcDKUoYp8vsNqbD5XbR/D7A4f0WG2MgWs7CMJP7GN27+wCPlPfgbcjiJWBMR1ZBmbt/jicN3AaorrYEY47ppq13DyGdFuxCKcRWLsQz9kMNymTczZWM0HFrF2EsSNPld8QbUTZPrJLoyyo3hiqb7shbU8ol7WPDHz1XcmzoZTM2gFUn72dnrONFHM2gesUs9ZAksA7H0LleC96XuZkArFv9tSRoStkP/O+LwZE1ii3W/BgdGGf0Rf5x2K1duGGczv8+oNKHb4mK1jLsnCvqbWvHrD2bW97G/yX//Jf4DOf+Qz8q3/1r4j5+u///b+H5TJo+GhPPfUUvPvd7yZW7dd+7dcSM/baHp0F6eNNOMxapQ87CN9eegFT4mZZ08exY7CZaIW2vhzCqFKD2x1b3bTsDEzXdWF/uYCHt7OWoLKcVIY2eTCAdk5gOsu6rDWZwdxCZypp6K5s6RQZrgc5pBeiNbql3/JwDKNmC44yx469hAhKL2DsTPPGjqW8xfpydPWxM5pC1fehZpEOndJwspi8EPA2nsHl7VsUciddy0I6qQJjhkUNnrwZTRCf3Ld/vmyyb7IsYeBwpuJiEukF/hqk4HCimjQucpAZopVekLE0JBNwYpjhmIQMics4WDtaOjBdufJFjsFGUbIrRv1ftGTqHm/IlthrVsXp4wYAO1sH0rdwMYeMI01MUBrfeAlvPulkHktoAUsax+OYxrHK8F5jaXyWm2/49RNnCe6e3WZULHYsdfQR4J80mtZLjaXrA97lBvfxjWQQPCwQxxW9sgX1WOzALHg/puahPjYCbQg4rewGAEx/XaDYZ3DFVsfybEh7Zm1odjLEgSGztrUDgJiXxdZo2o+ZZ+p7UF/05gGURgFbOwvrM4tuIIIsbrcNniWrPPDLIfcisBb704QMAsppoLZk7U1PQSnIILYy4bhjGrerII6W5Uqm2HlrVMXQYrNjHfhE8P9/HN6C/+t15lJ7K4pRhQ4lbuII4pj07DGT6h1vgv/5kTP4SsuHzMadasWh8cA2XlFG7YXODXjeInjYuPMcG3eyyCBgZt5oBKW9jlbqh48dafq4FbMWwA1ZziYyCOj3CdGczTC7Krl3uilWKidPaeds/GRbpJIQ/kzJmiBIjRJZRHoJsygEBWH1czbFBrtMumq+JKAasxKS4w7O2YwBTGGBMXWfiM8BmbW1L3pKMGezGa82fmLsZc3jci+G1JemYsfaSlDG/TawA2tXOy3aqM4kvcBvdFiuKV/L9shlEJi97nWvgw984APwv/7X/4L5fE5atvfu3aN/v/TSS/Bv/+2/hW/4hm+4BmofA+tQ+nh2cC1g1toNxv0wfXw/Y4EkNGQg2E7UaqMJTHKkj0cApsUCqf9wCFgrd+ckB7iWgYGJEw6SXrCpgmwBwohstVzD/nppVRgm7dj+kPnZANZQgsOTjCxibifaxtqzWc7YsZdBGJwGmsAHOWPHdnlVG1997IweBFpte5klNUIJK8Ovs4nyvVINbnTqULdhY5G/ECAGs4k6VQ6fzKFy0IW168E5SS9k11Y0KaSADKykXm3NRnqBLpxn1oYfGfqL/I4NpRdkE3/JBJzAYUzZr1SkDFftxF/JrI1HLKWvolaYgoWjLFRhBBBvJv6RjIWmj72crmGN0gspv3bM2uZiERT9MNR5x8VGLHaSYoA6n65Hlc89C63CZOzQQsmzK8Q5bmJlebs+cR6yCRmzxLTAGDFcebDWyisXOxaSFvTNaQASrxtZpBcWG0/2WC34iyD2bDVro7JIGUAfYtaG4LDNoZMkkG14rPuwB1CpQPkQGVpZQPglVR7PIo2E/ZATzkVsGE4YO2ezoD3GwNjoH364WxR//gj8V+4cQ/WZ20YbFUlj487RTt1eBmGVg1k7XpJExSY/2uw4JmHiVSrwqZ1dYxCRAU64KS8ad5DNGHTsAmZtqAlc3gkAsiyAOOsnbOPdG0/p56Wl9jKOOyT5E8ng2PkNDvHhYDwmRrFNexLO2Ww1azGT5GGfgNqSpiihcs5mJYPAxR1mIlUrgW6sxO6LYkd0M5I3JyNORNr0ko1n8zmb2LcKNN3Ma/ZyFBcLvCR96LoVJGjgxl451KuNxY6NcfetmxfH2MyXyOrdT8dOFizGctxB371mi+b/1usdZuFhvi0D6DVsjw1YK9KXvX37NkkhXNvjY9NJkD5eS+xm2Zn9aMzSx7sHOaUBbOj+XlAgydNoARVd9RClF9AO72RMH48YmHazLZRemOeQXsiiWYvSC9gJdW5m1T8mx/YF6/pjGDSbUMk42GwW27ax40A1o/RC4Nj+kMX5EOblypXHDsqWeIb6YUXFzux8AONyBW4eZ99ptllIMlbmi6tS9gmTBbOWZ1FggSRhGp/KEkCYDoIn9gKyMhNgLe6o61K1pDIIGgZ+ksmLNlu5pH9pJDMh2TSSTcBF/vhFzk6tDLsy6QWDfiDNrB1TEZSkzloyjU8KEBswXXkNZFrUoMaxpmCSdJFjxawFaM8DgE+noZcsVhc/i3kMVqdTGkNci02wVOxYgJgYD/jfBMFasLPFOlycGMon+AysZRayzW2G9njsmAERq4++AKvf+hR4lyOAZh0c1BgFO8PYiRZzWWQQMKUbr6VqDtaSfiNzRSxIS5/LFXghOGwDYA6Z3MPmQoyO8x72iCGFfYH9dmgQOzvIvre9T8clKQ83HJ9tXg/GTowwHTJpk8xa/oZ816UNB9YHZQES2biTTB836SdiYG2G2InAWkMmLzLhnZcf0r/dasX6XkdLl4YW4bjDpFFEMgjIrMUDG3Xr5Lpg3FkE406WjQ4EsHBqXa5ZzdnYuMPGgFIG33vrFTTXa6jcPrbwmxx3QjNsmzFm7VkPyjcPjaUX5HIE+uaVjB0ETFXFSlWxw59T5Zvf/OUNxweZNj2LHSOGazg5M52zBb6HAPUalNrNdJ9YKxPLNbMMgiZ2mGZsJVzLsdgRticLzVp2Lu0aADfDj/dSsZMty9l8pKPiYoMxvFKuZ1/vBHze4B/XWO2rH6y9tsfTWIGkrOnjaDSPs5y9VIYTGLZaVrqvSQtcWoCmvQk0fA+aOdLHI98W7EDncgTDag122o2c4JqFTyeQXvAN0niK1KzF4mLYXx/ezsiEJMfk1OqQnekMlp0CgGmLQ/r3L3MW5iPHGWInkF7IHTs2Gw69CTQxdrIW5ssYO/5gAv16M6hmnIP1byxLF7Iy70/X2SZMTAZBo+O68TeixRim7BPjB1PAO/XMMRron6n8jVPMCZviYoET8a++EhzeFabxmT1j8cJDNAEPinOMiams0nDVpvFpNGv5CXgADss3bIYLB+ZreaGKYDFrjskHlaLVizk0bE+oLZeKHQuJAPTRni9I35hpHKsMdRlTjBRTiklo1dE00HjsWlQBT8WOOWOOCmwgm7LZssYgZ0yn05RZi+w89t1aFcoh+GnjNhY7hjgIMj7Xn36FQIjKjQMjbWuR3/2dWmawFqU70NYWsmcYO55NlZgkMI6L0QzM2sEikQJssdlXCYkPur5YFDsPx0vYwYrnls/XefEVOsY5CQAmm6MxdjZdSZhDyzNOcbymSf7m+W8YnyFYm6FJCMcdU2APZRAQNLVsxyx2ok19wza1/sRnYf3RFyJmrW3sjFeB3qyoz45A2pBZi0D0+vdeAufzDwisRS1LPM6WMYexM2PjToY6EFhAzqnXYFW2Yy+zcYc2HZhZto2jVQBaVQznmyx2pPMYI2Zt+IxmiyDbyQCsxQ0s6ZwtQ4Exmr+c9bX3bcz6lPiWAYlYSFSWsbORXjDfYBd9LJXL6o0ILE3GCLYnI7kslQyCJnYQIEcmM5PqYrGjBOFFriGtWatdA1wMg8ysg11x7FhegM3eCK0/PB8+laO4GLmNmLUZ5gWvUbsGa68tU/r4fo4UfX2Nx7R15rMoZSu7WzsRs0EITB9k1XBlPi0npvXxBKY75sUIJI6tvo3SCzXwoZ1RFoA8Rmnr5sfgYmVQa0Bdkz6kTdG3eL7L+Qr2nBVUckgvRPMAQSqazGZnQ1iVSrB/Y+9KJUS6c5QtyQFMk1873s+jip1WASA8cpx8i/a76uyA4yn05ZT+NkQkI2ZtPwTeymXaVceKwlQ0yNhfHMjUFVKgyRmXYrdyPLigND6be00ya8NLENwsq3CdZLoGLL0SVb01cRd6iH8suFdiAzmulFmrTeOLNm0UYC3XniiFDcHTQznrdFOoQrHI0TJrORkEqhRtpqUnZsHYySB0FgsoGbJqsS2lYifqXA2ZtaMp9Cs18AUyFjJLxY4FekQF8MolmDcbVouNlevBggEtBoxs2qRyXQJf6BKRHc3+ZtEpxmLHsB8nViuyTM8HUDnZz0K0CwozsbTbDGsyvIZVqQyeRf/GNFwzgbUh+zILWNtPgLUmx5Le+XwJpd2dLNNTuJytYO350GnYLdQR7Ft/4iWoPH0b/HbL+l5Z7AQHckxaRofwRWBtAKZtmLVgHTuicccUj6F3G2pJWgGJYewwRiIVMDQ4AUvR3oC1GZi1sj8ytn0493TvX1DxtuX/+m1Yf/rlzTO2nCny4w4PItmAtetWM0N7Sow7GTqb/dUS5rWakOGpih3hnM1UBiFse5WLQHoLN7V0ppqzWSUqsVibLgLdVkVRNYyd84lmzqYZc0V/pbkMbTZJJBBs5mybdKjUZalkEERAcdCeLOs4JDf2NezqpG+jOZvIuH5Tl3EWkwnDzKxqRZ2BZXYBdrJvl0FRytOczNooe+qaWWts12DttdlZWFwsa/p40OqiPUkjm4xm0HWdnNILbF5pMUG8GMIU08f3dq4slTuQXpjnkl4gf5bUhY30Qh5wLfjhWfTAWJBgblElV+bXZlraO+3RpXZzsMOzsFRLGDuNfLFDjAmL70/HM+i4DtRzssMDZi1Yxc4kb+yULWNnvoSW60hZkoZeqcK1UWplyMocNoMFb2ZmLW43cGnrKuNT9q0ZrrzxMgi+3h/rx7AKOH7dCphO4ENMPkGmH4sMwqT+2oMwxcxEekGW0oeRkyRpE/AmAIfRpisHRgvHbJGjeIY8ZkTgMOm5yjeK8L126hXoykAYg8Ukuyw3LICnkySIpBeEWnrmYwl+tbOYG4HDWsa0YX9TGU3grII6ieYdVCp2LDajCPzG9PFSuj2pDJlcTEveKAsFU8fxu00OrM2wgZWKHRMgMWS1opWRWWsJ/GDsINvogDFrLdFa5/4FOJ9/SPI9tsDPplCk3YY1suPoZ7hx7JnKYvg+9OccWGsKiI9DuZBw/mMjv8MDBG0EIW00B8/7BJ7Wnnua2zOwjJ29sJ9Av0yjlgWDCqxlGw8hAdcudkQSLWbAGoG1TN7CEpgOGOm8DIL6PbENOZZZ4FtKiGDsYGaFtGYcA2vDjR+6N9xkRv3MlQOlEDC13Kugjck2G3cyySBMwQlrFJi2J+G4k4F2vbdawrTZtI4dsQyCWXcVyRj3QykAg0wS1MCXzyfMmbUsdtyzYN2mYtZKYyd2Uo0MgmDcoQwTnMskNGOTsWMklyXBivFY0SWh/jWB1AnfWFgMxx2b+alIdkPVBGnenwRr+dixMW6HzrQvZr6VczZj/6w9Gc59ekNYdnbALZWySy9wzNprtNbcrsHaa7NPH7dINxRaKZv0Qr70cftUblwEjls71pP+mLEO2HBmOrwYQ933oVWA9IKNOb1AeqGV0P+xMZ3uUcqn48LecgElBXBh6Nnq25OzARUhOcwl5WG/aMbYWRUQOzZ3e3kvjJ0c95plo6NaROyAZew8DBgOedjh7PmaeGSszPvlGhzu1KjQSybz5Zpgsa8xVuZBN0zjsywuJiwwpmEQJPRckaWH6Zk3OjZgbTz1VCmDwJjDgtQ2a2DagKWBFdEpbTQExGI+TYuLCXyl/IZ3GxXFUICnWFxMmcZns/YZBkVfdOApasstHEkan8WGY9X3oLVaGevVYns6bMVjx0ZOB6+JwFosamPYPUljx/B4YraEbdQWSIzM4B6ZXm0EcNUDHUqLS03HjgEIg4xPAopxU7FaCTdr7NlyaNgv0jktmYXr3/4U9XWfa+7YAYnjxUZPnliQhovQ2QKWv/LbJC+zDsFT02vG2FnxY5RhESpvEmh8ljMya1nsVKvm98kD8WUEmAzGHWnsRDqT/Oo7OBm9A67N4PNFZitjPmaJnYoofdy4wJgTFX+yjR3si6N4NZAv8UfBhlzjD70ddv6/f4zaoe29ItlCtjgn/d9wPkA/UeKhXoPq6+7Q76Udpv1qD/5jP0H9r+W0jQAslEEIWb02sYPjTnrjzM521yuYNMznQqJxZ+PetMBYcJ2V8dRovKPYIYar5DoNO3c+dnDjpbTXidLxZe9VK5fF6yYJfaYvjfTMsZ0qspIodgxsM9cRgabpa5IVTcWNSTRrma4Us1YeO/5oSvP+CgcUM4ZrpvVOUgZBuwaY0Ga/MHZsLST/GPf/l0PoN1oUO5ml5rjYyaKO9Fq1a7D22oxtsVjDPqWP5wUSA1FrY7/nQfr43o3dK2MHYkeNBZIciwrTSlDP0PHwNADXDu8e5mTW2s38i5BesGUR904HgFP3nTzgGjm21EDujWFQb0Itz2ATjaxmLOJFJL2QP3bAMnaWpfKVxw5KL7DiJZktZC+bxg7qH2M/cXJr70omL4yV+RmnkjkViS0MTPApAt48nyZqWFHY9TNUgU3MCJUMAscltgw/GUdmyEmnAVUp7Ufk00YGIS0RsHQ8qnprfK+qiX/iM1VxMZyANypljh0ocqV/cXxFY9I4bqPWmfycesa0CbM27ItZQTpNLEaFKoRgLRjb3mpFXzdl1krv1RSEmS6g5LhwVm0Yd4vC2DFl6Hl+uFjqCtuTyqg9sTHHJH7WTgyspSJxitgRWTJ2TIAIfx6AefV3vAkaf/CtlPqd6V4rZeiwIi+2LL21A7U3Pgm/tn/TGuiKmFwWCLP7+YfgL9fQ/OovBwg1ck39YuzEvmroF8EtBMNZ0ThV5XM1S89urkdgbQjE25YZiMVOkCtP/xE4G3VyYs1axvgM7tW+PeEGYVWU0WRy8bwMgmXsCCVaFKfgpXxKleAZ295rJYw5oTEpFVblbbWGUr0K1adu0XvdMLVtZRDC4mLh0VaNcbkmVm/ErDWNnUjXNFFg0mbzwXGhs17B2KIYuZLhagi4BQR6H8oE1naMYgclf/R+9czaaPP3YgAVDbHnNJqzqeAeDbOWXRn3XhAwLe12hNITwtgxMSFomv5aVDQ1QS66bzBnM9KsVcSOCCim2Mkkg8YXGCsZrgEwM6sriR1L9+ZEchqT0T8WFzMF4aVmmTV5bY8hWHtxcQHf933fB1/91V8Nb3rTm+B3f/d36fN/+A//Ifz6r//6o76817Rd3r8M08fzgmt2qdyYPj5otGgCk9ev6ax2MpzBjudCPaf0QsRKMmQHri6HMK5UoROyLa4CEHdJeiFfcTHyaLmQHD/s0ds4yiO9EDk27/Sb0yksckovbFL0zb5/eT+/9ELW2CHZkkcRO8f5AOINHm7YjnsjuKw1oNOs5WfWmiy2MWW/1YDPzdzsEyaGK4S/qhZ1Liv2td8J0n0zSS/EV+cqBgGB0X7O4mKcy+hXybqANBxHcXCYpcrjd411yGQyCAI2Fyu+Ja0WvatJ4zNhuXJYiqsAh9HGSwfGSxfuqN6rAZAZXdZwEhTC0Gj53R8vKYWvi8WKZGcziImD5ZwKPOnAYQhT76SL5ggIMtswsZFBEMaOYaeKmxeBjEU2tmmLFQJh/bENsxaLttklr6Rjx6Ab95cBWIsFc6rP3M7GhIyKvGQbdwK2YNWKbcpip4IUTAuGK2N+4sK/jCx7dg2GfjF2mjXuPmluYAD8ozxJd5N9YsOExNiJGNOGu4t4bmRmIViLTDxWhIr+ZhE7EMVOGABM9oCdgpi2eO64DAIrLra5VyOXBps6/laYtQ/52EkyazXjNPW5oT9bEB7faxc3OWTMvoRmLcogoC/cAGz9X++G6hvuWj/jSRg7Gwa+HQWZFSJ1mAay4XEIcqXGHVvfoykdMjEEa2OxIzNDzdqO50J57Rgxa5XSC+yE5Fvvl8IOiyHSfEk9zzbKSorGP19DOtqYdzmU6tXGYsfEJLtGMtCUiosdyoqL1c2kFzKAxPHiYjVx7NgYN88xef0utxEkjB1r/8ETNlrvhCD1J3MWFwvdBnYN1r46wdqPfOQj8MY3vhH+3b/7d/DEE0/Aiy++CMtl0MHdu3cP/sE/+AeP+hJf0zZ7GKaP38wLONll2bRns/wFkizZgf1QemH/dl4gMeZda9XhBCatvEBtqFlryuY9H0HD96BpWElVapY0Dac3hmG1Ds2WeTV7qWvD97peO6RvlVd6wVbyYXY2AORJHebe6LCPnVW384hi5+hKY6c+mcG8nVf/ONSsNVygYAX6pZsnFcmcWYuMHbYIxIkaFm5oYArslmQQaAFW2gBvjufB2SSLTm6CWStJgULGIlpy8RGkwJbghiqNL+FO5CAJ/CAoRSBC1uJi7KSim0lcToBp+EEKvQKsRfASTSlvYdC3R5elAKOTfuWMn/CnQVAcLBeUjorFL3TWn63lsWPKTuyPSBMS9bFtmJCp2DGsEs9ACabjbIopIKMKYycCaxXthkA1/Dwlg4AFxuw2CVOxY7DpxtLkeQ1G2xT9TUp1dFMWR9NATRsMNimaLHaijUmLDUZiaHPFr4JL9o397vNzGASoDQ5FZm2pu5MJo6LYYSmwhrGy/q1PwfJ//hb1e+zd2renBRzthLHDLthPANSYbUSUrThYy9LzyW+G2JH2ExJDYNo9vYwBmjb3ep+LnQ1Z20AGYRgv6Jgldrq44SxFi0IZhEizFoHoALAh8D8stGjDXk4VSLJE0517Z9RPOZGEiLlfkQ6xDeMOnzfa2FAGIRY7IrOQQTh2Q0kRwwKeUeyozCBrxmfp+JRp1VXHTgHzmGQ3TkAxFUrd1caOkUniWMqsvRwKtXIfZCkuJtOslcRO0nfm4mKR741PNFXbp8ysaA2Qo2YF59+0wBiCtX6lDKdQzVZMOeY2zJq8BmtfnWDtd33Xd8FXfMVXwKc+9Sn4yZ/8ydiL/IN/8A9eM2sfsfn9EaWPV3Okj9tOS+ezJew5a6hKBgV7wMk3Th9fYPr4UV62qTmzloqLFZE+zsxwvjMIi4vlZbja6rg2xhOY5QXXAsfGN3t52gdsve2b+UBTG11F+lp/RMXFqgYghsazcXLbfBrETk2y+7292BnAHGPnsH11sbNeQ3e1BMhZmC94vmZMGJw4jVsBkyQ7szYEa9miWeWPA96I9ZmpoJm5DAJNDLtB1Vm0swmmwNrfazI8ZWwu1I+lyWNCegYBgpvdelSR28Bj6EAwAefT+DjgLWmLtQu92dpc3kLx4lgaLBbEwHRRFRMGFznNahn2Wyq2hCGzFu9VsaCKLt33ya9skSPTk5OBtcMwJnSmTuMz1P3sj8ELi32Zs7kksWPojzSOkZloMdadT5YUOzsJsFZ0/OJDH4b1J14KtGN5sJbYkOxSTcEQQez4hsXFOKkO02yDVOzYUoEJCHCDVHqs7m6RQs5ipxxp1jJNVQPmJcf8tGHWstjh025jkgAGzNroOAv2cix2DFlkyMKjzY0FB9Zavp4YQBBR/DD9YgNQ0z3g75GmrU/6vCUumylL7Ij1tOUnch/0YPFLH6b7DsDaavbYiZi1jBEvPy54vo1csbNHzFowZtaiZm3SbPBWbE8YOwds3LE4GO/NvXcOlSdOhAxMfV+cGHcsSZHIdJzWarAum82ttenjhv7xVm84KwKwkgVRhX51qfKGawrW5KPiqAqgmMWO6TxG5jo57lBxMQSKJZmn1nM22Qa7aJ6IxcUWKygn1jULx4VLHHesM7/S1yhr/iSDhNlRnO9U7NhalOVmsAa4GEbPXBg7Gcy0L0a92mWnTRKLeYqLkU/b9JVre7zA2t/4jd+A7/iO74AaTdLiAXTjxg04Ozt7ZNd2bQCtySx3+rgtO5AVF8udPs4cG3YO5eGYFp3lQtLHzTrDSX8KTd+DeiHFxcxnPOuLEUwqVWjnlF6IFkkGN+u6HhUX83ODa3btafJwQGm6RzkZ07bsmyB28rPDcSFoyiLu3Q9YJd28THjL2KkMJzC66tg5G1EbaOVkh5PUnsFyjrEyH1bqsNusBhW5MzkMJiy60AlYmUEKPaWPE1si404+50cFhrBiZsn08Zs2xcUinzyzNjy/L2AO77UjZhDv165gRMmosjCBtbjQEhT9w+eLVgyzNgBhInA4ocmb9BsVeZGfUNvv4PG7ngMlTNHUgLWYwodVlLX3qgP5cLMRwdqmIVg7Wspjx1QGoT8GP9zcNNpgkcWOKZOXYmLXOm0dAT28pR1WYEkR8Aji+dP5hlnLgLUmMmvZfRi5TceOiWYtgrWoB8j137Kq3CJ7MA7A3phfGwYNSiAQkxiZteYAJr5XWkRGsgLmc6CA+Rm0CZZCa+KXxc7+Ds+s1Y+VpP+HPrm+x4aBGYsdUxmExYo2jMhvxKyFDLHDgbXsYL5deYxZG/wN/eE75UGlcobYEY876Ye2Qgbx//ndQKc2BG0BwZ0QGDeNHeG9mjBrOTA8OMQ+dnZbCL5KjnK8GFgbaNYKwFqw38CKYsaiLSKz1Z/MofLEDcvYcWCycgUgvB2r13vYg4tWO1vsCM2UWQtww12B02lr+5pU7MhOaGAsdiL9e8G7Z2Ysl2XIrGWxg+xS2liXrN+09yrzkMqGEkhXSYuLCcYdU9civzIZJCoutiuPHSvfGxa5ri8mNjPKPxzvKWLH3r/pZhK+816zBbuNKnTySC/EiF3XaO2rEqxtt9swGgWBmLTPf/7zcHSUM6322jLbauXA3nqpXfiZGGllGcbolNLHS3CQkwlpKw3QQekFwSJ+m51SPywudpBXwzW8V1PN2tpoEjEEc5nNvZ6NoO77sHOSH5hGXqKxNl1vBMNaHRp5dE0JmDbvOlerdRA7OaUXmJlOCaZnwzB29q40dgLZks6Vxs7oQY8kWo5vF6OnrfPJgLfPedmLizF/MRkEyTPesDK7xLxZuX6+iVo0QRSDITw4zE9Kj9t1qNtKLyTiU8bAR3+VRIysXY8Kc1hX9w08pD7mfdL97Xc3wFkCIMAiani/Zr4UXwnXflR4BgEoTrsxaUaFKgwANwI3nDBFUzNms+Ji2sInOpBvOIWK75NGtomxCspSnyaA12S+AWsN+idZ7JgutPiYsAVDsC2VeT1VFbMUi/utA7AWZUiqr78L5RsHwdzJEAwRxo7BffqLZQxsosMs8FZsT1HsWGag0FdZYTWUQbBhByZjx3DzGNlS2L+mZBAM3i6LncM2N58wYNaKNm5sGJjx2DEDtJkWMW44pJm15rGzSZUPrxexWr5gDGG3mwJjkbwNB+xkiR3huCMAffH+aBMnbEfOZ+/Tz8rRnlXsYCZJqk+M2pT4OJIwQZmJsGhc1tghMER2TCiDwAqN4X0y1jBvuWLHAjB1H/bouaDGtV3sSDZELXYtkFWM7/pip50xdgRmmKiHl3nbWRpJ9KViR+rYYCM2jJ1g41BXONRwzqYZFpLjDq6jMANKJHckjR0T/77+VQTFxeqpeVRs3LExgeyGLGbdywKLi4W+k/9UkSeouNjRvjx2rP0HOIEROWUyp+JiuX2isfHCdOfs2h4vsPZrvuZr4Id+6Ifg8jJghLFOYj6fU4Gx973vfY/0+l7L1gvTxztFsPRC9pqR9ccwbDQKSB9noJ7e72yygK7rQC1vcTG0sAP2DDql1fkQZuUK7O4XJQ0ARtILu4tZkEqa26X5rjqCa2gHdwrYgAlF0k2sMZ7CrJ0fhEfDqbLJBLF3OghjJ/+Gg1UxNSrM17zi2JkHsVPApo5N7Kx7I+hX67DXzj+RMHnCNHGqlOFTi5wTpojIoo4dPmVfW6jCol/AX0WPFydmCBglwdrMRRSE6W2J9LIEkxcNJ/14fVY6ZJJ+KLl4VenHMpaePo3PgFkbspdR5gE3bGTA4HztQn/u6MF/g74dv3LTWYLfqFPRJJVhGl+rVg5SbzP6Y+mo+BSwz9EZ9pvK9mSAcLA0UNjrGo870tgx8MeYiRFYawGGREyjiLmmKDC2doNUZ5RBwKrw1Qo0/j9fHL1HUyxDGjsG95kCay2YkKd87GRgGzGQDRhYa3C3LHbuCJ+xxt9iGWyYhZXFbdimLHbaPFhmMEYT4FAuxwrxYb9gsnZNxY4pszYEa9EJS9O30ayNAAIOJN7IIHAgJmPaRmDtGKBaiVVuzxQ7IhOciApVYhsKmenexSDwT8XczNpTKnZMmbXo0/XSes+WscM2dUTHMRkEzGSgn8ggrklkEGxjJzrYfJrpDaeBXFKlYhU790cL4bgTPGJDoPgskHC7bHeyxY7IDDVzS8s1HLlrWB/sZYgd0QnZRZpu/ur16I1099lJDecxkW6rZH2cZ86W2mAXbcZgYTNJcTE7uSzORHNFwYvwesOgHwnZzMLYsTGu79bFDrGZyyXa4JPFjr3/oMikrrkzkPqFAoqLBW4zvKPXuD1WYO2P/diPEbMWi4x90zd9E73Q97///fCWt7yFAFwEcq/t0dj4YZ/AqcPbxaRUm4Zqa1pM+njo1mgOwNLHdwuQXtjo0Ogdl0cFpY+z2zRhJPan0PI8aBQgvRAVfjbwu74cwgilFzr5NXfIt8F7dV0X9peLAnRNAyOXBjPEImMnSNM3s53pFJYFsMOtYudeAMLv5i3MZxk7tdEUpjut/JMAQ+YaMXd22zB1vJypSMkCY74crEXwot2iidp+s7rRv7TxlpgRBq/VV4DDu1EaH1b4zQbWptGl5CSc0stcLwWe4iIH5944Cbe2VGrb5l43lZQlxcUwtc1qkQMGMgjq4mKmhSoCLEjDvimVArDWsEq1UnrBcAWO9zet18Ex0A4cLRyYrVXSC3q2YFAArwQQMptMFtjy2LFgQ0bMWrO+iVJgRXIEwUXHvksADP7nhoCtoD6AKQNTGDuGMgi85mZ0mNajIHZs0JscMgix2In0RQ2ZtZimj1+PmLVs3DHzS++V+TIEXIiZdtCJSU2Y4mOjpRuLneB6dexhL3quZCHz00bOKRU7kVui1jJPAfMTpWwYqDTAgltBQT5bIFEYO7yJ+ixkpCPrnoH+XEFAU5ZrKnaYm+h9+UpAnFWKzx47inGFMWuREY43gwXGBGnJprEjLGppQQqgcTTUmbchbDCGa3rcsWD1nvWJYTmv1cxiRzvu6FmmzMq9If1cGY6x2jmboZAnfq2FWrko7aEgRTDpBZN5TLQiV85jwr0Z1w1iWuI705xNtcGezPjCvlNQhyPoi7MW+fKNYod8c/fNYsdorih0zRUY08QO6dViP1qpKGLH+gJo7awlp1wOqZDrfbdcKFh7zax9lYK1d+/ehd/6rd+Cv/bX/hqcnp7C61//egJp/9yf+3Pw4Q9/GE5OTh71Jb5mLUgfb0Cdm4RktnDSpLPlcg37BUkvoJlOmGZnQ1iVSnBQQIp+NAiF8lIq65L0QkHFxQyf8SCUXtgvQHphw9IwBdcKYBAHjo3ebu/hEKpQjPTCxqMBo+URxc7eeqUEh7YB/s/PWezsXlns4EK0u1iAt1uU/jGVg9ICN6z9Zp2oBf6CSaFums6Ki+EkR7l41TuMg7WyarvIhmrWI4bQxXQFaw/T+LIWNRNMhnl/kmJfmGKGaW21isVURTKB5SfgUYEMQXxQ+jim8Zkwlw3SPvFyypjWPpkrpVCQGVKrlOCIT6mWOdWxb0IZBM+wSrWSBWOYyo7vEPVqjVJgjYq86P0FGsdhZWGt17BatKyqvG/Cpq9EhZJM2YGX03UQO3zBLVk6NWPNEbPWFaaZmmpgCmPH4JqFzFpD4GeVjB2DzYwiZBBisRMBa2bghz8NwNrSDmObgiXg1NyAHSGjVDcHQhZ6si8wZWBuwDW+0Jf6GH+5jvtKatZqvQZ+Y2MdA/T8eHvGjTDMOmF/D8auTqb2FI07kr5YtHFF8ijY37JCXNymo2kRN2xPsdgJ27EOUNkU56vni51oCJMza0kGgcVKjgJj9wXjDg8i6cxHsDbcMNu0J7N2LATXbFi9vSGUj/dIhsNoA8tIi97swSFYOy5XwElsbAn9jhbm80QDGYQjJJ3gNSiyP2ncQckfi3mMmlnLae/7iuJiydixMQ1oSprbApA6Ne7YmGC+KIodyv7qjWN6tRQ7WaQXYidOMGsljR8LfLFnLo2dDFY2kX3rDQPiT6mUT/Yt9cgtJgavcXuswFq0/f19+IEf+AH4tV/7NXjhhRfg13/914lRe3iYH0y6tuzWnExh3i4GXKPFq8H3Lk979L1uEenj1C0YCscPUHqhCZUsg42sU2LFACQ2Hc2g7blQPy4GmCYzuNflRSC90N0vpvhV4FcvvbC3mIMXpq9eFYA5fhCkTB0WIb0QODYaaxoYO0UU5iOXJbPYuR/ETiGyJSx2LKQXKuWri515b0IgfPNGMZsrweRF/hViZQ4ncFFtQLteIcH97P7ojPpd9VArc5PGl3GilgBPZAIixALl2FC5pBcE/W5akmBMDBle64/5tQWIk+zhmE/mL6qknO6DHo5X9L07RaUPIst9PqN/VzTMWkqB1bElDIDM8moFHd8FT6MdPVu5MFw4+sWrxiUxXgZjGDeahimwS3XsmICnocaxKZtLGTsGlDsC2PaRDRkCN4biOwwgwMX6poCPGCbbADEh2CQCa22ARKEepG+vWRu+Dt2i7kwWOxk0aymTwBD44WOHPeOSqQwCMmuRCRoCXqZs01jsRCGrl34gIHE0SbHDTDEqbE+x2DFpEAxEDOe0G81a29jZvNcSn1nEs5hdNygSied2vQDMS4K1hlhgNO4oGPipE2H7Yf+F98vAHeNnLNJwTd6nAhRPySBYxk7UTwiFM8P5EOnjhv5EMggZYid+MwZEBATGURqGgbVm+3oUOwPZuGOIMgdjDrK2OxbvVTPuRP715ypdDuFetamdGxtJL7BYNLgR/NrxKigSWFJIHDE9basMIdWmc/jXQMJFXlwsk4arpOEkY8djmrEJoJjFThYyQUkIEqdjB/sx7Nt434wJr52zSZ3Hsw0El7KJM+xHj/bUsZPBv0lBZXzuWFxsp1ah4nz53Zoz8K/tMQVrk/arv/qr8C/+xb+AT37yk4/6Ul6z5jiYPr4EKIilx3olBO1UNn04CNLH7xxcKQNzZzorLH3cNKWudy+QXtgvIH08dGwkDVAZTmDcLEZ6wbQg1Kg3gabvQaMIcC3wbHSvzuUIhtUa7BSga4pmMgGPYme/QBDeMHZw2X9UYOyYFKxrT6ewKogdbho7A6Z/XIhEi37tS5M2z4eXoVpAKlKywJhkcT8OUvZxkjZ3vBwFDaKzqpm1BITF9WoPWzVoCdKyTXyK09v8ODjMFdtBcz0fHtoWqmAnR0v6DH9GlZRRe6xWFYIhuCY/MUnjM5FBKGHByjktcJAJKjPjRY7BYhIzF9B0WuRGTCMD1g2r+I4yPqapt6rYKen8kcbxJExvDj/T+FTGjkEMJzWVjVmfoyUcsNgpaTY2Q6CSgFosHFSVFA7S3K00dgyARCxkWNqJFxw1ZWBiqnwsdiykbCJbrwMGM+r1Gj/jRZrxYyiD4E3npKe6AXnNxp1Y7EQgvH4AoYJMPha8ipMQjFmfqdiR9wdsfsLS8yOGaarAmFns3EmmyodgbQSM45t2PIAqvrtSwBRHjdxEMSCbDYcodkQmYtYydjqCiEd7UHv7G6H65Ikxe5liZ5wszAeGYC2TQYgXGKO/2caO5CCeMUx6y2g5CoyxvjjLwSiBQF8Px5lMsSO8cP11E4sZi66Gm8r5pBfi7vWyIj4RE06rDe2lDkWxI/duwKwFuLFaUNtW3cd9XeyITDOPobnTZbiRLyAzCWMHsmPFyY+R4QkCkPp0HMZOp16MDIKgPbmh7AU/BxDGjpVvjlmriB2WeYasXjN2uLl/XV/szRbUl75SCoqLFaE3u5n/XKO1r0qw9s/+2T8L3/It3xL9/hM/8RPwnve8B/7SX/pL8I53vAM+9KEPPdLre61an6WPF8RwNd19xZSDQb0BNcGucRYjdzoCwnwFe84KqgVJL2xSuX1t+viyVIa94wLT1g1mPN3ZHBwN+yovoy1pw9OQ4Xq3KGCanGq/VhtPipNeQI8Gu+C9h4OCY4dtdGgmk/0RDCl28u+C0vkMvhPEzjqWJnQVsbO8GMGoXIWDggrzIfDvKe7YDSdOL6xKuSdMLJOUBxKTRixQP15cLHf1WV8O/GDBEkwNThYXyyz3INC/S04QA+bwbioF1vF8w0WOwAQTcPLFinPI9GrHS5r0Vw02sDbYt4qRUoL2fE7FhHiNSt6Wjkdpi8bSC5o+tjaZwgpK4CVANxHIVa+U4HBHMcYaLMDZYmLcbCpjx7g9acACfzILWC64aGSfaZ6JNnZU/pAhOIxrHBunrce0ntUMvQiIcTwFs1YPTMhiRwuCM/3WdjMTEwafcSx2ssggoAZnCD6ZsJej2OFlAWK+NWDtWR8qnGa/4TRGHDuM2as41vnk54jpWRKyTQ1iJ6lDKYkVXGTP/v2HCFBj6fmMzcvAxFyxQ37DTWN+8yFi1nJfTcxDTGPHpBgU/7DpnBxYi37rX/y6SCbApD2x2IlJw0RtSs7Wxs0jes7ICOeArEyxo2TW8mDtSi6DgP2/2iWlj+P9pjd1zGKW5ITw9XdDaZg8scP7NtEzZtJJBNZasIi18xiD7IPxFEquBw+rDdKG1flEM9uINWDWgk/MWpFua9Kv8TzRKEMoiB2SnpDM8YWxY+M/OU9MxA6yeoXFxcLYySS9IMAeaR8q8Rn65ouLrZwgdnLJoHFtTRU7VFysUqbNfqM5m6n3SMdb/t6JSQ0AnyyouJitZOK1PYZg7a/8yq/Ae9/73uj3H/mRH4Fv+7Zvo6Jj3/iN30jyCNd29YYFktCOikofDyc8ukANpBcKKpAUONayA3v3e9SNFJU+bppSVx5OYNgsJn08cKz/ymQ4g47nQK0g6QW2W6a719XlCKYovaBgmRUtg+CS9MICfAMNR1ML0p98I+mFowI0gckMJ/7Nyazw2AGD2EHrFlCYL45nqP1WWWG+AnZ8o7Qg1U7zYAx+uwWX64wargl/OmZtUEgJCOzDiVqnXoFuVumFxIywLAB+kvqxuBgxrios9JluO/iuogk40yFLpNWxRY51cTHZxD/8iffDZB5EZqUHZtDmiFmLYK0iMwWLt+HVmvnVM4+qoymcV+vBhpLCjKUX0FQTemwz9RossdCL5tomSwdGS00FZc318G3UmM2lih0NOEygBOr0ce+QYkfjk1JgeaaRDkhkQJMbataKCowZkN6ksaO7z+k8+FoSrGX3o3Yb9hOCNizxufqdT8PqY5+OfxXZxSG4ZwLqbWIn8YwNZJmQmUgbNzc3c9tNX+ybx45hCjm2I/f0Eqpf9FQKcDBhm87WHoyXbjx2JOAWamSTnMZ0HjA+yyWoPnkTKk/djMDEXLFDWC2368fuO6ZZG1oSrDWIHaNxJwmM86xT3HgQgsSm0gt8YT5Qb7Is1zD/r78Gzgsvx4qLxQ6xiR1V/4fMZfbe5sG1ss0N3sxiR5I+LthgFRluYJF8ERev1rGTvnIzGQTcxK6ihnhLK11lPO6E7k0keNDOcIzVfBcZrsZzNoPn3lyuoel5UD6UZybie49vEur8Gl6a44KHm5YSoHgj+ZNRwzVx65vYCYrpkRSRAChm7SmbiQqMpWOHGMV8cbFw3MlVYFgkgyB4/4HGeZc2+63mbCaXoNuI743Ab9TgdF0QmzeGFRRyuteEPVZg7fn5Ody+fZv+/bu/+7vw8ssvw1//638dOp0O/Pk//+fhd37ndx71Jb4mze2NKX282cohos2bAQizxvRx1OUpSnqBMSE1Nj0bACYiHhYEOJmyO9qzWWHp46bSAAxc2ytKesFA25CBa+OWmvFl61b3aocXI2j4HjRvFMNwNWVqM+mF4mNHzplYrx9l7JTg8FZBzzhisahW2z505ovC2OFGaUH9ESxC/e78YC37IZ+8UMr+bpuKDWXRcBU6jFKv0k2YFiKYsh/q0A3ma2Kv5ZqU+qIJoq8sLoaLnKOdGjQF7MJMMgglrqDQyhGCp1H6uOnE34BKVAY/YNZq9GorpRLcMEnjM2AeVcchWGsATGgBYoMxjDGVcTFhCoZo27HGH6ZCkm6f/uuRX1VBMxPmMA/wmwA/o5VPsbMpuJXcsAYJsxY1ax0AkQyCARgijR1NPx4V22olmbXh3xU3jIwq1A7kY0epvYnP9XwA3sUg/iHKP/BgrfqSw9gBuNFJPmM9xOyGEjqVW5s5kKovTvpNgWsMuJUcvP7EZ6nNVp8O1jm8maRyX8w9CcM1/V3GukRZAioa16hD5eYhNN/zDu5ec8QOf58ciEkbDQmwVsysVftk446yL04M1pHeMQGoq1SBPpPYORXETiSRISlaR2A43jtKaiR0103Yy6nYUbwYer4hOBsVNBNp1hoC07HY4a/aAEihokccgJUpdlIXbgbikAwOZquEbHbdMQiuGY07BoApjQetBizKFaONDvM5m/65d2aB9ERFUVysP3dgoYsdW2ZtCaA5mwWblhKg+MF4lXPOJt5gx49p8wU39RP3vZFeyFrHQTxX5C8FixjjvJ9/5vLYsfXt69cABFIHvnPVrEj5Z8xa+VeQ1btEbKKg4mLML9k1WvvqBGuPjo7gc5/7HP37v//3/07A7Vvf+lb63XVdrU7jtW3H6uMpTAsqLhaLU0V6c+9BH3A60j4pDlwzSm/Bitb1JtSyaDOKPBowIeezBew66+KkFwhc0084FhcDkl7YL0h6wVSHpjufg1NUcbHAs7n0QmHANANr/UcTOwq3GDvYetsFSS+EnvUDK0ovNBpQs52o5cBqndkKmliYT5MSZuFVudPM9E779QY0q2XSBMvrL8aslcggMJAo90RNyObyhf5Yyn6+4mJhH5iSJOBS2/obhgxvD8YZClXwJpn4R8XFBOBpf+mRTILV4krgi7fd9RoquMCRMHkZIwVZkNUIDIDsEgEoDzCZwVmloYydhePC5WytBeENMK9Iz9WEj4X3qo0dDUrHy1iYZq+oY0fDOB2kNY5NgJ+LeQC+SlmfyeMZ2ESatW4KbGKn0AMTstjRtB0EmxAET6STmjBrsRq36yeyDXTgMAKJrGCSTAZBB/ygbEm3wcUOA9bEgDhv7oNL2pQqc5qqJmNsKnZ415J79sZTcD57CrW3vk6o92gSO9ieGsnYkay2mX4qOA4xP5NF4+xjR9CeUszaoAAWySCAillrBpqiaYsf8qfhwFr6PAuzVhg7SUY8pKSDom+mivOV7GNH1QiRcR+mYhOzFmUXBOOGCXs5HTvRwfq1EgJYF0OocASITLGTunAzVm8wT2FauSaawAbjjg2zNhzPdbFjzXDVEXumUxhVqsJ4ThYXs54/KVxje9oZTwHKZQLJxX4zkgkkLFF+/czS8ZPMWhY7mckEovlpInaQQY79Gu9bGjt2zmOSZOTLlxQXO9w1nrPZuA8KjPny9U5vBP1GKxh3CpBesBl3ru0xBWtRAuF7v/d74bu/+7vhR3/0R+HP/Jk/E/3t4x//ODz77LOP9Ppei4YD8v5yDr5ioWltElZJMn3cLzJ9nLEDNX1DazqFRadIcI0NNgpg+l4AJO4WxeYlx/p7LQ0C6YUiiosFLvX3Op8soe250OA04q6CWbu6GMGkUoXOXpGateqH7G4zdhQbHZvYObrS2GlOtyC9oGlP096Mfu4VFDtEjFL4pMXRcg33SjUCL3OL7YfPVQaGMHAYganx0oHJys0HYCYmSSJGCvnj2iwucrB6cieP9EKKubCZDJMkAZfOTp8ZVlC2Y9aG7SlM2U8WvUE7nwXA0U1rZq38KwerUAdUyaxdWIDhagAL0xRR7odSNBUXhmwUc6YRmiQmcDExnm20Aw2AH23saBat/AaGiSyqNnY0/VsyJgK/eiDxfO5Bt1HZxA7DfCS50bHiQQgACcFaNQijjB3NfSJ7qdRuZdp0xjZcSsaODr1BlmASrE3KIMhdRn5jjJ8ks1ajx8eDTfzhVrETk7cQI4LOp+8RI7L6hieE5zSJHWxPt7r1eOxI5pgRsxalEPDfCcanfew0pSDHRoubk0HgppUphqtB7JyajDuJZ8Yza6V+DWIn1Rdr2hTvV86stYmd+IvBDQ0PZS3C98k2M4g9LJBAYJdqBCSKxh2DdQuBZ7gxeHKQKXaUWp+atoH9JDFrQ6ajas5mNe6ws2nORZt3Bx2j2EHZkiJlldrTGZzXmtp7jY07hn5VzxC/sjNF3faOcLOJSS9klyNQMGtDGYKSpLhYatyxsZI+dlCGAC0G1uYtLhb63szFxbHDQOrK0a5Z7FhegGqqhesdHDvulWt0r4VJL5hqw1zb4wnW/t//9/8NX/M1X0Os2ve9730xjdqf+ZmfgT/5J//kI72+16JNhkuo+z60CkwfN9lVQemFUbUGjaLSxyOT+1ytHNhbLaGUKHSTywzudRamjx/cLBDADJb0yr93psVKL5h0wDMGrt0uDphmIukqqxUtvcBMca+D89H2YkfhGAf3YbUOjWYxu6Abk/tcr9ewv1pC+bA4YHrDrFX0E8MZzEtlOCyIHR5p1mrSoT/tFCS2H2nWisEQ0h10XCq+lbu4WOAwPDHnPsmWwUVQorhYPoA4jRDxE0QeeGPWm61h5WKhiixgbfhTwOaN/CXAYZ65dtyuEYvAzJceEDpYLmBRq6UW8cwcz4MzlF4oiH2DbRT/qpNBwOrjyAo5bhuOsZJzYXtBM2bWmrQnxUYYAhQIKkbMWoPUW23sqPwxjeME2G4CJGJ7igOJSYZe4gyxSu/pNG46VHOvythJsIgw3nlmqzdFsLaZadyh9PFk7GjQQAKnkxlz6/VGBkHT/wtjJ6VZq3ivuMkQyr2kLjlT7DAZBBAW/KK0bUnmiSmzNv1eJcB/xKz1AlBPxKy1iZ0UgIlVeOIFxihdmWQQsMAY17+mQFOzfkILSiTjlosf+rOI0WsQOynmWqpNJQ5ccWBtYt6VKXaiRxcc47x0CvP/9r/De/Q2zFrsIyRFZHXtCdPHpeOOASaDEiYIyvOFQW1i54Zs3DGgPxOAhdkqDKzVgPBW8xjdhhYCWFi8bn83e+wofKv6O/wbMmsf1tTns87AMgDh8Bs7E2R4itepw5Uvjp1cG+xxhif6Ts7bSPLHZs6Wdi4EiflPsKgaSZGFsRaMO3klyRIbXpK+mNo6FhfbbetjJ4N/VXOnwmZYTNmpFAgQmxG7ri1uxZQKL8j29vbgp37qp6TFx67t6m3ZC/RxDgtkuDJTsQMb4wlMC2XphQWhVBO1B33A5VinwPTxsqJ6bGSDMQwaDdgrKH3cZPCdTRew665hVlj6uFmBMW84g0WpDAeHnStj1qJ8Sncxh/7tk+J8hq9Uda8ovdAsOHYiUE8RO/XJFGYFSi8Yxc79PnQKLMyHVmJ7iQq/tckCho0mHGepAit0qt5pJrC2VoWXVz58eVFgLT5dyRqQ13M9vT+FVrUM+80cw3ZiEZi8V380owU4A6YYW+LLn8y5kSSYhOO5EaxBn+XnnpYUeckg+RClncadRi0EwdonxH3BOYIhuxaxY7CoxU2MUbMFMp47ahViON+xYt+owNoRFcBbl1AtV274jG926lDRpfHpdEf7I/oOAlHl+3O15M/ahf58bQbWqmKQYyqbsAPxXlWxE0h1iI8lrTyBxrEOSMS/IRPynTf4e1WDtaRTywNPIs1azYJeGTuJV7366Au0IdT8I18S+J/Oqdp20iLepJ+huJjqQGR9Jr+6Rk3OmhEIw2JHKL2gA4qRbYop5d0kWMv6D4vYYZqmJUXBLwR4EqwwWdFFkS3WLmkgp7VjIw+xF7zRrHWJpS2SYTGNHUwf32+l26KwwBiCiQSchJ9hmr6B/E7svGFxsS/TjTuJuE0ya4UgscIvFpcUxg67fMYgTsYtsuBLALW3vymmf8wfahU73OYtPavFEmC1DsZM0qzlwFpJOryOvdxbqCR/uPcpWUu4530CS3mWpUnsPNCMOyasa9K5rlQ2Mgia52s87gQXoCYIhABWUGRrou2LZbEjca6WqRlNoeJ6cKYAa41jJ+E2PFj6lRrW/JgvpMXFLmZujjmb2H+JY7z7vRHU3vRk6tDcDFdBe0v2xcniYsJxJ6Pv5D99kS70wS5lL+hix94/UG0b6XoHgeJmHV5Z+fDOAsHacrkE1FquwdpXJ7P22h5DG81gXKlCu1sgK5FpiUmGdEwf31suik0f5/RZZDZ5MACvYOkFE3YgSS8UWlws9K2aqN3rFS69sMmWVQCJ0wUMW63CpBcixwqf48EUdlDXtEjpBQMAc305LD52NOmoruvB/mIBfoHFxUxiZ/wwjJ0iGdMGsdNdLGCZWGzn9qvomxAoWqFMCortFwLWBrOzTegkUqD6QepXudWIClXkkV7YFPxhv8fvlYA3rpASVk+e5pZekGuCYXV0Ysgk+nqcgO81q9CuVwqVQagjE2wiLvaFC4LLBaYZ29yrGbN23JQvYJAZgnNv1Kw1NkW/g8xhL2QLqubCOPE3XbyqjIp97bVp0Z5sT5mLvCjinsBa9NUNQHVZ7PBmFDsqf4niYiYEMEx/XTgJhisPJIoAYgQqeR8C7XwdgKmOnQSzdroAfx7IdBAQNJMxa9XjDsaOUJtR03ZQs5akEIjVO4fl//6d4BpizFpQxk46BVbNrGVMYgQ+6GuJzRkTcC0VO7r3GgJuKp1JfeyE0guJ/inZp0f+luu4/rGoLeWJHT4AeBAT+1iOWStifuoAOYwdHHeMWHoxGQQ3BtKmC5upY+e+LHYiMF68EYg6y1jkq/7WZ1OFnzLHDn8QYwxj28UNhvC+iDEtKC5GfjWgKW5MpmMnfr/KcQYlRJL3mrjsTAxXXdBzhc2Y/EaR4452MxTB2kY9klFS98WWczbNS3Mvg/nZw2qjmNiJ3OrnMTecoK+tSJi1uDGZd86WfIdR7MxQfmyV0qvF2Hmo2iQ08i0AibkuPMg2G5MMATMEw6WxY+Oa8y2LHWIUh77zFxhOXUGQSSib+1yONsXFimTWmuz+XtvjDdb+8i//MnzzN38zvPOd74Tnn38+9d+1Xa01ZwuYtIpl6UWdkoQd2Hs4pPTxnZNiwbVUMYKEuVggqVaHeqPA9HGNFtByuYa99QoqhYNr6lF/dj6ANZTgsEAWcSnqgeW2u1jAumBwjZtqCK1/PwCmDwosLhbpuCqeMUovTHaKjR3dbLh/NoQa+LBToPQCudPEDk4oBrXGlcbOar6ErusUWphPy6wdjGHYbEHNJn1c7TD2W4pZG6bsG6eFmrrkUq9iDAIE3naaUArfo3Uan9BfOjrZOp+AsFIaCBMXebE0wQT8hhsAHiKw9nK6RlIY3N61eK+ahTgyn1quAyMFWIsTf2xLNUN2uKhgW1Lj2AsLgMgWsGvXg/OpZQVl2YSe1481WKgbxY5icUv+MJ08WqibMSGVsaNi8mJBuno1BWLqCvjge0UTpugHJ0hdNbHmeMsgg6CMnSRIhkxeJoOAafOeL9Ry1mE3GDtrkfSCDr0JNWtRImDx8/8HnJfPAjAqvAYti3i8hBudOtT52ElKTXBX7Z71Yfb//BJ48yV4k0CSKVnYUJe2Loqd2AxEcs3+fKVk1urf6xKqJaCUX6ElD15ymrX4noUsbbPYEbUnOjQhg8BARbZxQybccNCDXCbjTooRj/eJYzgDxZPM2syxk2TEJ/68Wiu1Y0WHKGMnwbyPtKwpXjYFxkh+QVIMWRc7F3OPJH9isZNwLx1nkOU73UjR2MaOkn2pWbugUWEzjnxR2LjDTDXXvUSQejcinOgZ0xbzGB1Q3BvCotmAZbmijR2rTWcDcP5ktQQPY2uvLZVoQT3tTKaRQYB+yGZOzPUxdkjyZysyXcFnRCig4mJ7sfaEbUkUO7kLjHHXQnGGUj2Hu2axk8G9rMXh/bu9IfSbTYqdo5168VjBNVb76gRrf/7nfx6+6qu+Ci4uLuDDH/4wPPnkk3B8fAyf/OQnYTqdwpd92Zc96kt8TRmmj+8vl+CGqSaFmWYiMHoQFNw6LLBAkgm41hxPYFaw9MKG9SABpu/3KQiLTB8ndzioqjpCBJ0aTagUlT4em1+KHc/GKL1QMLhGjtXZyMuLEczLFegeFA0Sy5sTxs7ufB6BJlclgzA6DYDpw7sFy5ZoYqcxmcK8wMJ8RrFzGvQTnSI3dVSTF6yqPZrCg3KNdtQLEdtnjB1fsqseFjaarVwYLBzzVHm10w1Ym1jrEhDG6Q7jpHSnVoHdPNILaEJNMD8o1NFtx3QcKY0vR2qbjMVSCtkh2DeWdztScM1ukRNdtZKViTIIOvaNuU99yr6/x2QsxN97aJPGp9AiJ3B4MIk2G01Yn0axo1h9s4J7/FeDaxGfyih2FP0bi8FUKreGWUspsJUS7DY2bTs6R8TATJyAJAA2sSbUrFWwyLSxU0ozESOmacjEFGkr6xiY8urj6raD4B4VTzrrk0xA633vgp0//Ueh+uxt7l7BqjBf9Igjtufmbx5WM3dccO+dk/wKbUwhCzR2xSX72InJIQTvFe9v9bFP03OlZ4yAXlMB1hrEzlGrnI4dmaRGKIMQMGsdDbNWHTs6/eNoXsJARZxXqpi1BozpnVpZP+6k2nMAXkbM7BSzNmPssAclY2vj82UAagGxk9pnCJ8r3R9+xvcRMr+a2Akkf1Qa3vwFGGYbGMaOlvWpuHBkqJNmOcfqLWzcCU6m3AxFAIvkHzSXSrEzl8SOzLUBUDzvdIxiB1mudo41zNr1AqbtHa6YYFLyR6SnbWkSGQS/N6aNrnJiIzETMG0ggRQrgMuKixVZxyFyhP+3IU7Qb76guNjhnnnsFEROobkkFlMu1yl2CpNeMNjUubbHHKz9/u//fvjO7/xO+Lmf+zn6/Qd/8Afhl37pl+CFF16AWq1GQO61XZ2N+lNo+R40josF19jEDlMYROaE6eM7nQJ3kALP0oHQcVwCpksFM1x1KVDTsz5ptxzeLpYJGZivrCi6KDp9XFPQoxcCibsFpsqT37AolMwqwzGBJYVKL0RsUwlo2p9Q7DQLZrjK0oWYrS9HMKrUYEeQyrrt2IH9q42d2dmQ2OFHhRbmw00OXGjLCyl91q0WlxIUrfHDXXx+4bncsFes0vi0Prnd/MQi0k1UvWeT0jzSC0IZBI5Zm2TnDBcOzNde9nuVLDzwHm46KwAsFCHYpKIKyvUStCRMJaUzBSvTKZVhXKtLi7zgJNxqkaMBFumvEbNWziDD7vqkYyO9IGALjmdhATxzZq3Je5VpyBKwN4wXwGNNUzafMIodxQJd1EbpEM1iA/0et5BhmGTTsp/xe0R2KW4IxQA9ERsywYa3ip0kiwiZiCE7koF7wkJUGgYmbnQctKrp2FEtyhij18UiZyEjE8HTVmPDmoYSLVCVsSOTXhCAmOwe3fvnVFysJNCn1pHMlLFDWG3wXrHvXv/Oi+Ce9QLNUfyTomBusi8WtydB3yTom0nSgjFrUU8VH6JQjsA0dkT6x1hgzBcya/UyCPqCW+hTO+4k2zPKPWDMsLhJFRiTtydl7LDrkIG1+Ixlhb6yxE4CLGUgeLShwgG08gJj8n7C83y4nBtI/ijGNXwWSZblpj3J71U77mh2wbD4NBq/qayLHRtwTalfPp0TgEVgrYacooydLEAxpuP3RzDvtrXjjlHsJP1q7MZqKc0UHC0cWLrZ56cyYkb0ORb4FJB8sD2hHvBOFukFHZnA3wDkfHExHHeksiV55uKC2AmKi1XIv1HsZPBP6x1Be8L7RvtUUcWUk5rA+I9rGYRXJ1j7e7/3e/De976XQBUMUmTToj399NPwgQ98AH7oh37oUV/ia8qGp9tJH48Ap0QRYGa10bT49PGQWSsbkvoPB1DF9PGTYsG1aAxMVjxmH/fHMKw3oC7ZHc/uWK5Zu1ysYRelFwpmuOo2Z+fnQ1iVSnBwo2hmrZpF3J3PYZ2o+FwYU1tys4P7AevzoODCfNEzlsROfTyl3e+txI5MeiGMnfZJ0SA8cy6ZvGJhvlodapLFSjan8ol/kLJfgk+vCwJNmUOeWZtcENGO/i6xJeqVEhzu1IrdzefSojE1GBarOIOgiEmpYP0RLCSDlH2RXi1aZh0yWUodLjjclVQLHSfgN0RgiNKXuo26vREMGw3p0upiugLH8zMs6MR/ojaKrKsw3VrO5lpSRWEj6QXFBpGo2JdUtsTx6H6N25MIHEadUc+PVyBnf5Ocxix2JOAwsukxDVFYnEmtu3k6XgnaE8+s3dwjAtDzn/mflN7LM1vlzFqJT03sJIEIAoEYsxYBJ/yOQMpGN7ZLq4+r0Bsm+YBzI7wOBH8S7B1Ve2Kxk2YaJYE1SIO1p5cB6C/YsNYzIQWxwwHEwT99YrOSIXt4zsBaFbNW/nyD2FnDjZYgXkUvB59n+Mwj3xKGa3i1ytiRSS8kC4wxUJE2w9gzsdxwQDMGQ1LtGZm11YhFnIwf1TM2Gndk6bsrZNbKQNMMsZMcwxhYy2KUXy9IQWJF7MzW4CI7XMrAVxMvaNzmpGiiw8KfMjARmZDacUcDHBKAVa1Aicvk0seOxbij2gwNASyUQdDFzqkmdmzvnaXj65i1uVifsrn22oF9ZwXjnbZ0rEPLzKwtqV6FD4DtTQTW5i0uRk5EzFpOBiGhzXw5k407WXxvnrkodnD+iJsSOC4axY6te0WYs+JiLy9zykwI/TKwttDTfkHbYwXWNptNSh/GF3n79m148cUXo791u114+eWXH+n1vdZsNZzBFNPH97cjDeALECcqLraYg1d0cTHQSS8MtpQ+rmYHNsdTmG8BXFPpuF7e71Hgd28VC0zjJotqt6yM4Fq9UTjDFU12r5PRDDquU3hxschkgPjFEGblCnT2Cn63ZXnseCx2CpZe0FkkW3L3YEubOuKH3JzOYNoqmEHM0oIkCxSn3SKmZFGpSNEaX8BKJCAMNy53d6J038KkF3hmLe8vBIfRJkuHGBPFVLxNM2vryPxaOynWIk7AO/UKdLn08WLYEj7ccFbgCzTXggrKK2JC2tiGvSJZ3A2Q1d/Ugmu3bHRyyZ3cHz5PBnqpAQLTxaucakgax8iEDNmgqhyHh5Ml/S1PUTNkfqOxKuDBV9U600axIzkBY9PLmbVim66C2DneSbQn/hK466GUw/BnjNkqSV1XvVdt7PBMUwQSGbM2ZGJioaSUTwWLjKWPC1l6imcepcwzEEqmz6uLHZlOroAFSWAtPl+879FU/F5LGWIndpuhDEII1pJmbAgSl1UyCAaxo2TWChjEUK9tGNMSzdrMscMjZGxOxwD4qgmzVh47yHLNtKnD5B5qMmatCkhcUnEkYewkmLXLX/ltWP/+S5tLWK+VcgSZYoe7tyhWImZt1YBZaxI7knFHg0TyWvq5Y0dkCjQS2aVUXIxrk4WNO+HZpPfdGwXs/2ajmHHHZmxHoLgEsOju6GPHFsDUgfNhOv643ZK+11a1BJ2sczYpsxZg13OgtFqnwNpItiSvNJgAnGf9U8BmjgPF0nEnq3NfHjtUXOxwW8XFAv/S9U5vCKvdjmXsmBs932tm7asTrH37299O+rRoX/3VXw0//MM/DD/7sz9LWrbvf//74W1ve9ujvsTXlL3x3W+G5bvfXPyJFePC8HIMTUwf3wa4ppghovTCsFqDloL5kM2lfNaD6eN7qwWUOJZQgY6lM63pw1B64VbBwDTzKOmAd2YzmAmKl+Q2hQxCLywutnfrYAv3Kn/G1eEERq1WvvRxgalYP4PLCTS2Gjvie3UuR1cfO2uMnSV4RUulEOFNIoPQH8Ok1YIKFqrqFCWDsLnHZGpowDoN2CuFT9R4zVrGIOgzxkornsa3JeZCaxYU+EmBteMFFYPKHDuS46rTORXfY3quvPXnDiwdTwyGaP2BNGXfH06pIJ1q8YqMz6YAqMrEvmH6qmFP4SnTxy1jRwhmxpnRKoYTsvQqpml8UvB0DKV2KwWMqNKqjWInWijFzxEVwBNsgAVZ4HKfaKn2xACskFnL/FE1efYVDqwVA2wKv7rYScYiauTymrWNWordSoeFP0VeMXYWjifcwFJmRzAZhPD+k9qxwfEldey0atBMSS9w7OUEOIfAZeXkAJp//J3Q+lPvhuobnpBes13sJBnTIcuTZ9bi5wI9YNPYwddy2BQxawUM4hB4L3daEbNWWYhKETvSwnyCAmNxzVr1hoMudozGnUQ7Rw1mZPJGmrU2zNqwuJgodthnm+r0i2gjh36nQl8aZq1N7CSvISGDEPOlkF+Q3+sSduuldOyk/AsAZi/QKRdnG8iOshh3NDIIIlmawsYdOpmKURwwHc364gwFYUsaoBi19isVfexY+1X/2bscwrpUglmjKS+SmpT8yWLJeSKCok5wT7xGMdogjJ3882KBTFfI/KcY97C42G6sPQnHndxZbsFHfqq42F72OZvheifZnkib+XIEA5QPLFp6wUBG8Noec7AW9WpZsH/wgx8kNu3Xfd3XkTTC5eUl/PiP//ijvsTXnNXyasEIbMP6SQfqMCwadFhw+jj5C9lV0vTxLUgvRFlTAnZg7xTTxwHaBUsvRL4l/SClj9cbUCtisEmeWzLPWcxXsOeswetu4Rkr5C0W50NYlkqwV7T0AjmWMw+68xm4giJGhcWOYCU5vH+5HXZ4FDtXK72gjp0+YOutHhTsl+kNJl5sUEhpDGfVOpx0GlAtUGw/cCBg1obsFQQRe7N1cRM1npHCrQ2ShZRw4t+oluEgp/RClMoW+6wE7dk8AIcSIH9uYFoCENUmgaySJyouFhaqEKYZa/2JJ52Utuj7MGoomLVZZCYki0lk8tHk/gBZR+Fngu+dT1bg+uapbapCf6liXxrgJ4gdk2cseaYq/ViBW+PYkYQzMYcTBfBMU6oxBXavXlJQ6TcnYOnN9Cf0FQKXQr8KFpk2drjFIfWryIT0vFDjVMUOlDPmHkiLi0UOJRITG2YtMQZtmbWy2FEUGIPFklhxCNhSGrcImIMMscMDxGyjHIFDxl5Gv426EAg3iZ0HFDt1dZEXAbO2hNr1TJpAxcBUxI48i4QrMMaedSSDoGPWqkH4RsVw3ElevJNg1ibB2qyxk2RrJ9vvquDYSY5hbkIGAe+L6Tor5BdU7Ukt+SPv830s0ud60n5YGjtTw3FH0a9GY1yCZamPHdNxR050CYqLjVISPCKvGDuXU1XsyHyr2K1Dkq4rLHZSjuW+8b4v600qzlqYhJQRszaoM+A361BOzRNV446NbwFIHLYnYhTjZm2i6G5xNSu4PjT8iJdfYJIbxrGTwb+oyaHeOvZp9ypsvVO+Mqzg2sRWoNhffnvf+94X/fvu3bvwm7/5m/DpT38a5vM5PPfcc1CvF4/uX9ujMPnkZXUxJOmFk4KlFzbboBLpheUcLk6KB7miCo+Cv40f9mBnS8C0SnepOZnCorOF56vYLUPpBYSkG0WDa9yAI/zTYEzMtsMtDTaiex0Pp9D2XJhtRXpBvtGxuhzBpFyBm4I0723Gzv5yDudXHTtnfYqdTuHtiUqQpCcvkzktRD/vFVhcLDFJ5SfhlH41mED12Ttwf2ybxqfzuWk/vHYggsMV7j0yPbDc0gsCVAs/as8QWNyAw2jjpQPjpQt3crF5xRN/1EIflqvQFCxuEfjB9FesopzJn4SJjTZuNcUayL5PC8n3vO6gGHCYS9lXERrxXomxYvqMJa8f2XtUlZsHaxValA9spReSMRhqHNfe9KTg62K/D4xjh2szXHuUpftqgR8EErsCll70K6G10T3yYC0BTNVyANBYgMRmscMdzFLW2appuYrp5YouWwSI3A9jp9MQLCei+xVccEIGQVT0Lxh2LGMnwayld0ipy3UCMUUF1ESHW8UO/5oZszbSrPWC+9NknqhiR6nNGDGIuffE0uX5TCYJe18bO13JRgc6Q+FT/hrWPLM2vBqJVq4qdpCRaDTu0LVzIPXaJVCHwEzMEkmcI3PsRG2qLGaGrw00a21iJ9EINwXGQnkLBMPxGaNsoEKzVlQqg2JnsoJ3HFfNusPk8ZEUTdcudkaG444iKzACsBLZiNrYsZ07iTaXUKoGi4txQLEsdh7qYkdmkgYapONPoPrMneJiJ+Y39KNg9fYQrFXEznErx6a+LBEkZNZ6R+LiYhg7XdG4Y+U7/UQZgMnYzCzDhWJnvIT3PFtUpuam/SRjB5mt1Id123B6Orabs5m7J1KXL9gYQPs0FlM+KF4CYVPzZSun/oK0x4pZmzTsCN/4xjfC888/fw3UfgFZtDktmElURxMYt8S6ONuy4fkIGr4PrRvFg2sRk0Kw4HB6YxhVa9BUVAjO7FcCYK5RKH613I70gqLvnZ0NwEE23cEW3m14r6jZmjQEhFbd7Wi4BjIIaevdC6UXii7Mxw3oolkTxs42CvPpYqfu+9C88thB6YU61PJO1JI+43V/IiOJAKqMWioYrE0wa2OFlAL2Ci42kMmLxQUK380P8SIPGSsJDUdlCqyVP/FHnfk8teBDAAYtF4tYkotZG0+JGS1bSGaeCKtS9lFfroLl99LWn61h6WZL45PJdOC9l/faygrkyEjBoifImjYyyQo8WVyMfVV0bY7nwdnEoj0JNhspnXsZL4AX8ys4jXHsCLJ+owJ4MrBWwV6Wx84GSAzWiOGxvAwCFkhikgBStmnap1HscJ1MjBmIkh3IrBUUFwsvNzjGt2UkKg5kYDEDFwUyCFHVaKvYCX2G48fqf38c1r/30oY9rANrIUPsJJm1eL9MsxaL1CGzVgfWZo0d0Zwg1ADm2Z4qUE8WO5VSCW7IUmB5NJDdf/hOsf1Gj0SiWauKnaybOgSQV6tQfeom1N/+BuvYuaUbdwTMWtQkJuBWoPUcXKKcnKK9V3YMi1XWTxCzVg6GB5cqBhIpdhwPbuwomJCqbIrBJNQpr1vHDkr+GI07MtCQ6fgnCAmFjTuKkzGgOA7WSkB4XewofItunU/H18ZOlnmM4n2zdPxL0t6Xx04uZq0ELY7AWk6jvnCGq5BZG8ogXAZs5mTsFEmcYM4ZwO7zerWYJRUWFzOOHfsLSK93EChuNeDzc3crerXkk/v/a3uVMWvRULP2P/2n/wSvvPIKLBYBzZ0PoJ/8yZ98ZNd2bQVZyHJMhikOPt35HAa3TrbyqDGFoyzoG1B6AT0e3j0q3Kdq0VwfT7aSPh56FsogXJ72AZee7Zv7W9wtEwz4/aAqer3ASpYpH4nf59MlSS8sBLuyxe1K+sLiYotSGQ6OOtuLneTg6nmwO59D7xHFztEWpBdUsdMYT2HWblFbLtipcEGHiwSvUYNxaZvMWl4/dgOEnX7yUp8Ca+c0eqgRHk4p+xvgbbF2oTfPkMYn9Rd/nnXfg9YKgbfd1CKnWS3DfivH1CTCav3UZsZ5pQ1JlUpWqOJL7+K1OBn8iSkCG/1Y+UIdzV4GQeIPweHddgCUhHqZUiAxy4Iu2ecMxsTuQkBaB4acUfo4WLSnNIKkZHRJ73VhFDsifWzGphf5o+vg9gT4s1PsoPQCPeN50tHmgrn3SMxaBF0IbApYgSJmILtWUXsyih2+7TDmJxpKISBrbLdt1Rez2PmyJySbdQoRS9/hNWvFzNNMscMeGffsiJGIzxj7WWNmrUXs8O817O82zFqUQVgHkgQqv5rYofa0Wgpcp4GOSNKCB/sF+se62LnZVcQOz2pl34lp1pakYK1Z7BhaTAbBJRkEjFkx81MdOwey2GHPmH8WkTRB8J6lzFpJCChjJwJ4xcxaZA6j9ISfocAYMhLRlMU0Fd1lng0sk7GO2rNKMzbU8U/6LWbckd87sSyb9Vg/Je+fNLGjMqH8TwgUH3ShfDZVx06WOZuCictA6l69BbuS2EEQsZuU/MniP3H+ymIJLd+DRaLOALYv9PulsnHHznl0zkibmj7A7LYxVF93JxU7hTFcuc2mzZ6bv5G9eOJki8XFwjUsRY6fkr1Y73aoi8tds0LlXNDW733yHtR26gD51Ne+4OyxAmv/9b/+1/At3/It0Gw24emnn06xaYsu1nNtj8aiTinBmBsPZ0H6+LbAtcBr6pPV5RDGlSrc6raujAkZpI8v4OLmceE+yV1ZfK+ThwPA5djRFlifzKNootaazGDW7cA2hEyihSS2J24O17t/SdIL3VtbAqYls7oyVYBvwdEWpBeSAzqzyXAOO54L061ILzBLv9d1FDvb0CIW77YHsiULOD8pfnOFcUPSzNoxzHZ26G83iyouRu42IBGfVk1ame0mLbhxovbEfrNglyGzNmxRLiukFC5wo+JiW2IuHKyD81eSxcVG8iIv5v7S7cabL6G8WsPDbiP1bjGFb7piDIIMYC35kqTsP/c0lDzxQhIn/nvNKrQli3ypSahwtJANn6eAKBpL4/uiE4uNJAWzlnQ/uX5Ots5mKbDGsVNO93EEDnMF8OKXKGYkWceOn/AnKIAX+eRZKVxz3cROHQB1meMHsQuOvUcEfIg1hUDT0V6Uxm3HhDSIHQmzlorhkQyCeKyUJXTEY0dhGmYtaX520mOIDIShAkmy2ImAtU27xOcb6bgqinzR39kxFrGzea2scBzPvPQCLVVNnGtjp1uHwaXkwMQFE/iNeuCsDeEGjgQ4yhw7eDo2h08VGKtoZBB0sWOhp+15sP7k56H6xieDom4SUFoVO+hXGTsMxOH/HrFdQ8kJmWZtltjhNxrwQNaWmFwKguEh8UHJmJaApruNCrRULD0ls3YM1Wduiw9j15xn3JEhoCGIVDlO91EyGQTrcUcgrcHM641DZmup+HGH8y185peYjt8Osi6ksbPKPGeLTiPwjc8cx6JJvS4kR1DsdOs552yh+8TTrA2DMTjJrGWxUwiZgO8/uQSJXSQLen6MSU2x06yKJX+yGpflxi4DN9twsxhZvZnmbDk0a2nu2hvC4M4tKE22IL3A/EjC3P/tT0G/24a9L0nLXb2W7bGSQfjBH/xB+MZv/EY4OzuD3/3d34WPfvSjsf8+8pGPPOpLvLYtFhjr3wtmovvb0HBVbDXXtpg+zhayqXs9C9LHtyG9EHoWQok48A5rdWg0a1vUrI1/tlqtYX+9jIm0b6c9xT+fng9JeuFgSwXcZJNKLJy0kjCUcpssdu4/mtjZpvSCtJ/YZuzINJz6Y7isNeC4XYd64alIG6nMSK+K2Cu7sHY9Ki5QaBVYfje/JC6khKyFWrkER7jDXYi/+BM9XC7Aw4liIk7Yojm3vyTwFjJTSAYh8XajQhXdemH3Ryn7q3WkH5spBVbmjhyICuBNNmCtJPUWmTcr1y+GaSSsyi1fvNrFTvqZMn+yolDJe7WKHRHAjxsYggJ4qUNS7SmQXjgWxE7q2hlzLgTXmn/kDwRplxU5WItPUAQmGMUOz9gTyCDg/drdq6bIi2IBHwOLKW1foFmrih3NIpIHJ6kwEQNrNczacpbY4e+TsZd5Zi1qmkpANePY0WUl8cxafJ4IHrJCdYpisurYMdQ/Zlqu+E7LpeDZM4BTorusjB1TyR+8hMkcVh/+vaCPR2atJG5UscM2OlR+UhsAoWYtY1CrQFPr2OERXgTEWT+BMYrjJl4HuxZbZq3BuBOtHny9Tnnu2DHsM1Buwh+iVNOulZRHpjmbdDN0t6DYsWf1MtBQ1Z6sYscwAyJIx+9KQWxt7Fj599OyiOUKeI34+QsnEwTOucspwf5iHhAYuHeeWWZC5hr7SQbWciA8L7mRac5mfgWp9Q5lFK0cOC3Xt7beIT+C971armGPsIJtEvZenfZYgbX379+Hv/gX/yLsXLHu4rVdtYk75kWYPr57uB2NUVFJEEwf35vPwd3bkk/JIDg6DXRND7YErjHtzaQ1x1OYb016QaxD0zvtU0fT3hZoynz7Cc3a/hgGjSZUFZP3XP4En00nC9h111DbEjtcxjZdng9hjrFzsCWQuCSOHZRecHcfTewc3jnYkk8/vtMcLlBegdpWqrHGZBDCm2WFjTCND9dqhaciRRPE8Ff0x6WN4qT0ZrdRjPSC4BQHqyVMG81YUaH52oX+3Ml9ryKWCAJvfrVCBcaS6w2811atTIyJrA5TTGw22Q7BxeTfgxTYRTbWgggcHs+ClH0Ns5alj9v5Tfc5VPBkuAGH+W8WAkwLFuy69Nvk4tUqdhT+ZIwhGWOOirxgYT5V7CSYtclq8qVqWQH+pNuTeexs3mWUps9YrgQYywqMiUEYFjvIEFe50zJrPX+j08sfrogdWXuKQFr+vaHuoiFYK8MtlLFTSh/Mni+C0vRvHVibNXZkMgg8s1bhWx07TbXbkFkbbawiWMveI3sPAkaxLnaMxx2egYoANQKoivle5tiJZC7SzFramENrFhc7G7AUN1WcxKZGCMCH7FpRYT7ZvTLpBX2Rr+iA2Mfu+YB+liUZXJliR+RcopWLn4tIH4VuiArGV8zMwfecBJFE7GWT2JG7FoztVGx2HGmnqmIns/SCALBMAsWq2CmMfZk4f3U4gQfVRuqq7o8W6nEn55oKPzlYLMLiYpVY7BS7BkgTJ/BXFwt8YRbRbjvjnM3cfbDe8VNz108XXUxZIK2Xwgru9wKs4OYW1navcnuswNo//If/MHz84x9/1JdxbVs2tgmf7PgrgwkMWy0obyF9PHCcHsRG/Qk0fQ+aW0ofl8kgrHsjmFSq0N6C9ELoOeXTcYL0cV+iwVeM2/QW9/jBABBGPbq9LYareDK8M53Csrsl8DJwnHKKgw3a7q1tgfDhvSZw6fJoAqMtxo5I8mHUn5Ke1DaKi5nETkuQDp3faVo7kGllftopbwGs5f8ZFjXAxd9iReApMlxx7o2T8OJ88gXGQn1FjpWJVuykVMCsXS1g3GpKdChzsoglwBttKggWHLjIySW9IJh0Ugp9vUrV2EWsn+HCgdnay8aWEFwmS9mvhH27TDsQFzn7zSrs1C02sERp1lQAz0/pQoqAH9fzqTq2TXsKHikHPiHgNY4XwNOlwVrFjqCvoQ0TxVgpYy8rC/Px2qalBLOWB7VwgSgAL9kpZGCINnZ4FJ9nts6ZRIBdgTF97IizI+gzntmLJmFgymJH3p7Ca0kxa5cBG9EANLWPHf69xguM0XNemTBrBVrpvkHsiJ49A/8ZsKcCMLPGTihBkNKsDcFDBHjq73yLVDvWOnYkV8+MgabKe80TO8k2FW42eNgXIrAiA2uzxA4P+vNxgu+VgbNYaMsShB9R7Lj6TR2ZBNXDXjCmtVsFxo7gJCKGJxY9wtoJwvaUMXZM5w+C4mLBpZaE7SnXnC0JsA+ntAmxYdbKYyf73En8vllxsfLhnjp28m6wizacfB8qwzE8RLBWdK/dnHJZSeN84GkPlnOocKSbKHYKLzCcIE6QDMEGIM80Z8shg4BF1TDGPzdziykwrLLEe50+xELkAIdbki58NdsjB2t7vV703wc/+EH45//8n8M//af/FD7zmc/E/sb+u7YvBBNP4DvzGay722LVBsWvkgWhBvf79PPgztGVpnJvU3ohcJyWQeifDaAGPuxskeEqSm3A4mKDWgNqEk2vQjVrQ1tSOsVqa9IL5E8wqZyfDWBN0gtbkreI5vBxtLYzm5Eg/NZMFDvbZoc/ktgJ04L4yctgDH6lDGdFFxcTMmvjxSQejBZUyb5WZGE+XgYBAPY8h4AFBoStXA8usqbxSfzFmMqeD3urJek6JyfgtUqJqq3n88ccxQF3lj0hSr3NwoKJOfTlrMxgMuxL0viK0bUjGQuu+ImK4WS/eGXnSm9gpJm1aeDncraCtedb+o0/06gAngQ8FS0k7WInvlgkcG8yl4LD3BExvxg755OVfPEaLS5ZmvjGH6Wth1a5cwOqT4qLRYrak2ns8IXUSN8zNG8epGRLmbXS1FtN7CjSa4kFyQPUgvekjh3ZM2Y/05q1FCOaBb6smJoydqJTlsINMHynXFEo7N+1IHE6drAf1saOoL8LwH8bZm06do61scOlRYfPGtsUAxMxVb/2xiclRfLC67SJHfElpDYclPcqip2xQeyomLWjGRXmkzLws8QO/055sBZPwd6pZuNBxDZlBZKyju3ewx5Ubh0q7lUcOw9sxh2Jbqt73g/GVNGmTtbYEbnH/0uOrwjW4uZrokig6FJPjWJH5jx9QjcBFBcWOzG/4c/kPCb0jaBl5tjJuiE8XUB57YTMWkHsFCUNJgCKy2FdjJhebZHSC7xvPx07uDHBfFvFTpZLSMggsOJiGDt3tlZcTIEV1JtQt63j8BqwR/5Ejo+PYx0/dgZ/5a/8Felg4PKpU9f2KmfWbgJ1Op5B13VgvtUCSek2tboYwqxcgaO97TBcRdpPLH28d/fWVnyGjlN3O3rQB4S4Drelaxp1wPHPGpMpzAXFQwozwWT48n4PsCV1tp5OEb/Z0mAMg2YT9osE1zTM2ul4HsTO0dXGzjKKnZ0vnNhhaUHcRwhMLXdalLZTdCoSf49scUVAWFhI6XR0sSU2L2PWAtxwgkUuA6aQjYJ/LQ6s3fijf42nUPX9NLOWpY/nZkvE2w0CCMgE9Z59AmC8js0PsUgFMvXy6IElWaBo+A4rd46lWpTIXGvXK9BtZGBLCNCVpESAKPUWx1uc+H/FM5Z9okTPFdlVyaI6KvaNVewk2oyXKIAn+rqYaWQBEHAuZWC08BDO8dl4RaeQticOq2WbGHQ8MS83z7L2hieUflPP2DZ28AQhmEi/zpZqZq2gPRnFjiK9lvRF6zUCUumrQmatPHZ2ZUVe2DPg04HXgQyCTgKBv2Sr2OHBPNZ2GZgXyi9oGb1ZY0cEdDDN2ohZawnqmcSOoMBYwKzV92kiBqY2doQn4taOi+zMWl3sRFXi+TaFOs/IghtPU9rruWOHv68kA50930pJw6wVsz7ZuBNsz0gPDp1z4/ZyTf1i9Yuelh8miZ1Tm3FH8hq88wFUZBtYRY070ckS4/nlMGSXxi8u2G5LA5iZ506Ce0fAtNTdid51YbET8ytm1hJYi3NRrGdQ6meKHTP/7B/cmI9SADgfxToDnONZGDtFkgmS1l0uAaMMi30mY0c67hQkSVZCNvMUWb179rFjaaWE7Btj9Q6fuA0whq0ya0kGIdHeWuMpjLdI2Hs12yMHa3/qp36qWCr7tT32VmKEbi5QL+/1ALmte7e3CK6FxYN4q4Tp4ze2lD4uYgcOe2H6+DaBaYHGqHM5glGlBrcTu8Pb3C1zHBf2l0s4u3tzaz5FzFpMp8Au/2iL7SkYbOKf7UxnMBUUQCjKeGYUs969Szh8BLGDelLjK4+dSSi9sD1JjSSDABco/UYTDls1aCkKtWTzBzFmLabuMeANm/PDyQqev1Nwe0owa0/cVayQEk4OKyWAk05R0gvxSRkDwkaNJLN2Aa87KgD4T0z8SesOfyKz9l58wYEMMrRcE/+EDAKBw5g6GPYDKjAk89xHAA5Xn7mlBBIHCwfmjip9XOdz88+gAJ5MOzDNgrGOnUTfmiyAJ/o6xk5MesEmdhIoA7XRcgnKimwFERkJUxax2zqRpcAmGXqMOYfxb8gmEbHIjGOH8xsr8BUCXTy7V3QYN8Qaxc4mvTX9N/SPAESUoSLSrJXFjkkKLP93zyemlhFYmyV2eBA+ZIVHmsCaAlT8Kfg2nIwd3KhUGmOFeyH4j306e6aqAmOS2HnbHU1WUnBg8G82VrueVENVx8DUxo7sGkKLtGMtJR+MYid6v4k253okg1C7fay9RNvYSTFrsf1goToGwJfL4Cv6jEJih+/zLwK92sqJfJ5ZzLgjAEtniwDAksz7dLFjZYlHg/eCWr21L3oq/dXEpQaSPyt42+2sGX2Ce+eKixUaOzG3EnJcWFwM5+K5xh39BQQ/+Hni5Qi8Zh2miToDhTNcBTsMe/MZ5S4m6zgULr3AnYv9sz4K5qv4znPP2bT+4xsOVPtg7cD9SgMOWpXi1zucJacEzmoNu+slTA5vb83nq9keOVj7F/7CX3jUl3Btj4pZy809F+dDWJZKsHdji1UABdqC3dkM+jdvbNdlcvJy2oOTLaaPB47TvWFtPIHpFouLBX7jjnsPBtDesvRCpFnLzYZxsT2sN2BXs0DK7Zp7r4v5CvacFSy2WMkyak9c7MwfUex0ZnMY3Dx+RLFzsNV3Gu0042JsOIH7R7e2s8vMge+MCUOszFuHVFHYyZDGZ2ScZu2JswTY3xRSwknpjU4DqgWB8EHF283veH+zahVWHNtr6XhwOV3Du58porqvgCWJz7aLfV8/NvFHll6jUoaDnZq4Qomp8fcXgsNRsS9BERJc5LwjKwifWCxsKnRzC7r0ZXHajJZpoQnWDbEv+mOovelJ4Xfz61CmkQZVcbHIL/e7dexwC+AS06vF1GYF8CTSDsR7xU0OjB0xuBYy9IiBGepFIwsSTcJqFV0qf69WsRNL43YCYAv1gLHKvIKVuGlPvjh2lD4TDD3fB+eTn6M2SwBtuULFxrComvBeBbHzdlXsiFiQ+E7HUyXQlDjcLnZi8hYhGE7SFlUCTs2YtRljJ2qH4cHr8F3yzFoLBmYUOzppGLpPL95HILBoIHclYmDysWNs3Cs2ZtZyTs1jh7G149dGbXi5pr5Cd4lWscNvqqBcCH7UqAVtKowTYpkq8Htx7CzheR0IH7toLm5Rm7cSZPyofNJ3Ez7RbPriZBwgqxatfEMcv4WNO8HZYsg6AVirNZQFQHEydi5MY8ewc6f5Z38E9aduFh87Mb+Ck4ZA8SZDKGvs2PiPA8UegqVOPHaw/69XSnCoG3dsnXP3htl7uH7scn2JcezYuo7m4sFHjfGUxgpkU5+eTemz7YG1pdh6h8levOhVtiq9sCF2bX7vnwaZv+2TLeIir2J75Jq1aJ/4xCfgO77jO+Brv/Zr4du//dvhF3/xFx/1JV3bNk3ADsT08WGzBZVtFRdjfrh/TwZTaHsu1LfIcC1FyHRcemFerkBnf7vFr/gn6Xoe7C8WAbtsi+Ynxvvxg4DJdrRtYDryHlgLpRfa23y+rOgWB0zf79En3W1KL0QLs80svTQcw7BxBbHDvdfJcAodz4E6J8B/NbEzIumFzl57q8xa9nQ93OX2fHjR3UJxMd5CGQRKrQwLKWHa7VaqwHILDGxOJyiDsN8pJo1PZjzwhlIhjWZs4r+RXiiA9S9gSWKaKlvE8wwcSh/fredL40vQaxg4XA7baHKbY7J0YLzMUagiCWQmwGE5kLiADqXAWm5gJVbglNa9XImZtbjO5X7HZ52tPW0WrQQO64p9Je41c+xwbYYHv9WMuXh7UrbhkuCxhmBtUlJCdYrMscPFBjFbmU/UVUVTMJfDw2LasWaxkwAgxjNY/eYnwb13HhZSC/t5GbNWEDtG0gvJTY3pXKrJGz88S+wwxjTXHyALMsxWoD9ZyiAYx05q8yZsTw1DzVpZ7OzWLZi1G81aBiYWHjvSq09o1iqZtfFnbBw7ImkNDtwo7cpJEJlih/88lP5jbZexpWtveFK4YRadgpvHsNgZLQ0lf6LNK26cwWyRbkvJLBTHztJu3KFTxEFDZPWi7E6Zi6dCYkdkiXeMrFo0TEvX9cWnprFjeO9UvwCLi3FAsSh2sD3lmzslNnxixcW4DCHuiGLnbIINYQbWCtpTMXJZzHf4k/OxO5vBZb2ZLXayFvsNL6QxmkTFxaxjJ4t/7vkiQI66zJ+fFVxITew89mInD/pUXOzoznVxsccSrP2VX/kV+JIv+RL48R//cfiN3/gN+Mmf/En4mq/5GviJn/iJR31p13aFaevt2QxW29YqSYzoCK6h7d0+vAJc2k9JL2xV/iMx6A8vxtDwPWjd2KauqUAGAfVvqjVotgqsZq9pT+u1C3urBZQUTKxiHMcH+OkZq2S5RdanAIRpTzF22lfLmA4L81117DDphW3Fzub5bkAbtPtQK36iFjiMySC0ZrOgkNLBLrFvjnZq0DBY/Nr53DzTsuPAvueAH27iICvkrGiwVpDSPiSwdvNZIL1QghuFSC/EJ/644KFUPrYg4b75IHdxsXQ/EIHD4aI6yfqxqj4uccifjxZ0WBmcmMObS0KLM1IyvtfEZlhUAE9UlTvJhJ+viYFjHTvc+IUgG18AT/j1RDVw69jhmWxeCA5rxo/kGi+IHU2RF14GgS3UmGarYRaIqD2Zxw4XG2s30qglgA+1CSX9qih2jAvzJQGIEOCiP1XLm4JUMs1aYewYPOME6EIbYjYyCDaxwwPEeM3IhvR8KDUtwNqssZMYJ2Pgf9j+9Tqu6dhpKo6JO45r1kbSCyaXbBM7mktgMghKfd6ssSPZAIi0rRXzr0yxk9hUoY8Y8177XsT3qi3MJzJ+nEFtXs08Uxw7iwzFJeNgrT+caIs9FjLuRA65/uq8D6X9jnAzLSmDcGocOzJLzJUuhjS2q7JmnFB6IXNxMdFJQ51eHqTON+4Y+meXgWP+ag3eXgjWbqu4GPmO3zz23e3FAi4bzXyxY2jsmW6YtROohAC5fexknb6Gc7vLITh7XVig9MIWi4uhBfJH3OZAbwT9ehNahhlGrzV75GDt93//98Ob3/xmeOmll+DBgwdweXkJX//1Xw/vf//7H/WlXduWLNKiDH+fTxew56yhusX08cg31+0vLoawKJVh/2h7IHFSdxN/Yvq4q9DCK8RvyBDk08dh29ILgefYyIoDz+xKpBc2/X7vQZ/0XTo3t71Dl2C09EcwrDehukWdnyi1M7zZ+XwZxM5Wi4uFvrl/Ly4GsMTYOe5eaex05zNwthk7pM27WWrgYmzdasKqXC6e4Rr62/yzBDuzOX1W3utscaK2WWHUJzP6ycDa88kSXD9HoQqJu2giPF/Sf5hFEZuAj5dws4tpfKVC+wMC3vrB5DfJcFo4LlzO1vmfcWIjI13sK7F4HS+hWS3DQataEPsGWacd0jBU6SRmX+Qkwe9NATwdw6mIIi9Gxb4SALZt7PDrNR9jAtlMCiZvcEx83MFq3K6vkV6IQJ/Nw8rErM0aO/x9IgsyZOtR8S0NoJc5dkTMc2YVE2atKHYUzyqpC8wbB55KD4cMsRP5hLhOLc8EtGTWmsbOpkilH2PWkqwG2zBSMmszxg7/ePkOx0az1iZ2xCfa/JtpBFswa41jR8asxZTlZr342OGfD4K1+DsrMGUAhosATAThtbEju2j85wiZtTvFx47IdRyrpewRnBOpjilk3IlOtjmbezmEyrFMKzcug3A6zjlnS0gNIKu3fLQbk+MpLHZiftNoLWkU16tR8bxc447+AkL3fmxDzw/HfPZMWOxsgzgRSQHgRq3vwwXHrLWKHRvjGjv+q+W5UMOspQisLRiYFvkPZRAYmxmJZGhXIoPAWXMyhdk2C5G/yu2Rg7W/8zu/A3/n7/wdePLJIJ1jd3cX/t7f+3vQ6/Xg5ZdfftSXd21bsKhrDzXdGMN1d4uMRFFBqHIovVDeYvp4chgbj+bQxfTxbRYXi7RoNr+uL0cw3Wb6OL9bFj5klF7YWy7A1yx689qGhBD4HT8MpBcOt8j6JH8hsMesNZnBYssM1+S99u6x2Nm/0tgpDSYwbDavNnaGs63LliSBfwQWRs0mVYDtbCMViVvk4j93ZjNir/iVcpjaVvyEiV/f1sdTYoP7YbvFSSn++WanSL+bxY87CIAabDvx9MFFcWA4xwQNgDeXgLck2/TBKEibLQSs5dP3BmOoxCQJxGl8mdnhAvArCWQmSenjpQOTVcbUtsQ6jvkTXX8S+MH2lC12NuchcI8rgKd7JJgeah073GLVBBwOrpAd4UdtmGLHhFnLLU4jcM20wFhiQW8VOzwIQwW+UDO2FFyDJlU+e+zExw5MtYx0ZXkZBKlmbcbYYWMTD3QYMWtLOWInZNYyAJ75Q+a7BsTMHDvRBm74Owf+471Un3saKreOrGLHqD3x74ADbOyYtRaxI7yERDvAQkhKnemMscOw+KRmLRat00hr5IqdME5pcyza1DCbc4kATOPYSbK1XZf0efnsjeJjh7/wRDr+fBnJCokvt6hxJ95dIcvSH06lG3fJ2GHPOLMlx/aLQQooLip2hMYza88DkJq901zjjm06/sUQSjvNKDOBfY4MYrRC60ckNiaosBmurWqN4uZsKt8Rs7YEt7B+BHZjR3v55mzG/jcgPGkzOy6cVhrQbVS2s95JOmfve72G7gprZ2yfsPdqtUcO1l5cXMATTzwR+4wBt/i3a/sCNKZvFQbq7GwAayjBwdaZkHFmbWc2g7WiMEARhmCWz91sP5Je2C4wzTphZtXRBMY729+14u91cDaCuu9DS1LBtTBjDMxwO9+9ROmFOjS2KL1Axg3cq9Ua9tZL7QK/6NgJpBceQeyQ9ELnkcTO/pbZ4Xif0U5zfwwPKvWtCvyziXcplIPBNtSbrWHl+tvZVecWBLXxFC4r9QCMD2UBjtt1qBcpvcBRMrxewMqc1+tcGp8HZ5NVgdV9N+AFD7wlF5K42EBWCN5vbgvPySa8Sf3YdBpf9nul+2D+vKAAXgqsDTMr/JzFxcKThc42TFdZPycC1zIDxMxfKEmgWigFNezCDaw8sRO2GQSGdcBeknxGKbBttfRCdA8Rs9YPQBBk55XtQRjr2In6GwAfZRAwZRz9UoEvFTswETtji9jh3mXQp46gcjcs6ooFixj7U8SszRA7G3Ah/LnTtAJro0vmfKKp/PKABh0cpq5HGpsGEhfJ2CGJFquU9fAZI1iL7zQE9Rpf+pxyXiKKHVvmWqQvb7jpkCV2xCdK/K5JP88eOwm2dvg+PQJr1Wy7cpbY4WVZcFOFNjUquWQQbPriZF/rT+bBvWjAWjo277iTlE0aBprsJQWztpw3duIXsIklZE77PmWubCt2kq6ZURYSFg5NkBNSsTPOGDuxcybY+b4P7uUAyhxQzPfFxc/Z2D/CMR8ZxTf2N7ET/vV+OGe7UcScLeU7MK83hFmrBQ7Xp+Wdsyldcw0XwVo3zFrKNWczvoBwnojjcih78aJX3S6bV0DsGp72CYxsX8E69tVqjxysRduqdue1PXa2ed1hJxUWnKkWrc0ocMxczyYL6LoO1K4gfdzj09bPg/Tx3aMtg3pcgg5Wpcbqlu6Wi4sxv+y1DkPphcOtg2uBsUlTA9Mp2lcLTPdOB4BT6LZBtelCdVwpdhpQzayRlSF2pgvYdddQ22JxMdEzZtILu4fblEEIU5Pxf1jpebWGl66gMmpQYMyH9mxOC+toorYV6YVNjCJY+7C6AU63UlyMS/WK9GNL5agJo1Yh7rPcKXqCGAJDDHjjMNxYGl8lbxofLYo3wCJaSgYhdDpfu9CfF5DGxxZVWKHbw8WkuNgXuy5sT61qGfab2ZhGkVvHjQrgyb7K+mH0nZkdHmsz6uJigd8NMJEpdrjFqom/4JD4QtKqQBLTrGXsvLa8wrrqXjPHDjH2sBgUBwKpmLXJ2BlZxA43v6c+dbmG6rO3A7YpzvkYSC3SrBXEjr7gVvgzvDZiPrIUclOwNkvssHfK3S9jgxODWeczETvGfXESWFutg+JihusqUezcMmhPJRmz1kDOI1fs8MZOwAB/hV5trtjhNlkqT5xA411vC35frvTM2gyxE3t1IbOWge9WMgihV+PYSV102AePArkklhKvOzTXuMOBOOR7OA2koRS+gylNhtjRbS6z4p0SsJZvT5vCfDkLfSXnEomxKBU7RaXK85vAOK9YOTFWL98XFz9n2wQJspkxHT9g9YYfh47xGd/sFDBnU7R1ZPWO2+3ssWPrOwHWzjvtqLhY5jmbjYWyb1RcrNOCz8+cKyguhra598mDgHR0vHWZxlevPRZg7Vd+5VeS/AH77+AgADze8573xD7f29s+sHZt27dkQaid6QyW2y6QRI43I9xVSS9ELJbQb2UQpFVvM308qVk7Hsxgx3OhsW3phWi3bCO9MK5Uod01X4jm0jb1kCAUSC/Athmu5HjzjCcP+wTKH93ZbnvasDTC2CHphc7Vxk4kvbD9gdXjYqeM0gut7cqWbHaaN6zMz/u1rTNr0eGu60DV86iYBE7UcJK2U98SCE+FlDyoTqZwVm0E94vg2jYYBCVRCv1mcYUpixjCuIAtxF0ipZ0V52Cthl9IFrPI2fxzw8rkCgtx98oWdLn8cit5Vco+r6fHdCizbYxzQCaynLAAngTMxP6JxStWT55mTONj7GF/7RCrSytJwJGxMsUO/0wNiovRIeHPKHZMAIIYszZ8prM5VWC2udTMscOD0sjoxbYaFfiSLwpzxQ4H3hDzPGyv9S/9Iqg8dUsJQoljR9eewnsMx4nqUzcjzVYdsBZrx7axQ3+Of2cD1uoX3JljJ5myjuC/QjJEFzt7zSq0TWKHv1Xu/nRM03h7yihbwo5n2sAsfoyYtRliJ7rXEjT/yJfEZCV091vKEjsCZm0kg2DMrN3MnTIXSGLj9mgSSDEYbHZkip34lcelAIYTKHV21Mx/KGbcSW0UDiZBHynpN/hnfN8mdvSuA6AYMw/+/+y9B5wkR3n+/87M5hwvB+WAQBICDALLAiSBARMNAhvbAoN/Bmxsgvn5TzLIZIMJBmyMQYD5gY0JsgEbTDAZgYVIykLS6XR5725vc56d/+et7qp+q7o6zOzu7Nzt89XntLMz3V2hq2dnnn7qqa6ONbl24oWro5rZiaosYchYy89s8j1MLWDKn4OHemPrnq2Fw1VmfqvIjfEpmurqXPm1k6tw+7rQYu3KP7PV8H3n+ASV+7rVtbMmiyl7jTjB4/LoOI02t1BnGxYXS2KtQylyLTAGNhbyTvP8PE8fX6CZOiwuJr++zhwdoy6ePr6pHjcAor/o7JybGlp7gVjGIJw4NEo86bBvraMX1DmVU6ynaKoO0QtR3lGFRkfGqKMe0QsafTd2dILGm1tpxxqvZBktMKavnXma69+2pmUGBctrZzy4djbX99rhhfkm63DtqBiEUAgrNzfRZLG0diujis9hg5zZxDd02Fl74Ojq5nJZZYbTryemqcCrcCtnbYWOTS/Q4nJlDdoaXp9LS4Er8/zTqDBpT+PjKaHNObP4qlEg+Bw2nbE9fCqajrpQXlYLczx812q8T9iLYcWcMOKL5MHJeWouFdS0xZUUJ8tjV2bWStX8JecBW2q8qSP6rcLiMLuc0jL8wscrcodrITMUo0tiNeyUzcNy52q+dnihLTX1NI9YK1w/x6cXaZGjF7LaamXWhoL0NJeX//OP1dYqrx1TPLv15hcDkUv/TUlxf8prZ7G8rN4rcl87YiDqfF6+mdF8zq7gcVpmrXvt5Ile0I0sFanj6iuUyLR07wGqLDVl5sZG5dZw7ShXrYy6KESL8OWNQajl2om5IKdzOSCTrp2q3ZfNdr/mc9bWcO2kiLXFzjYqc7uzxNqarx0nBkG2N9NZW8u1I5yG3Ea+kWLcw3nHsBRNc147UaXtz7d7DyuBOo9wVNO1EztA9Kv6m5oxK3DV/u6IG4Xmxl2CqzaqamV1FhcLCnc+S/DCoYU1uXY8hUfv02PxzxUr+btT1Q32Y+PqRhv/TSwsLlvXztHpBXrYqnxmk4WbopVgyUx1dVFlYqm2a6fasvX5npmj7uUyjYbmmxV9ZstdfnixqbUWJmji9B1EczUuzLeCGITWyWkaDUVq4AdiLag7Jt9quaJcevw1pXtzfQRM8/DEJI21tVHfagoECegPEdNTc9RbXqT5OkQv6DtmHIEwf2yc5gpF6u+vkwOT/+Dy4mKzs3Rs+5a1L1J8sJw8fII66hC9EBZsr2RZh+iF6IN/hUYPnVDXTlc9rh158fDCfK31v3Y4emFura8d+UH9xARNt7dTR0sT9azRVCR5V39gcY7mm5qoo61FfRh+xO41uuEQjiEthI2UAmdtNI2vdY3KC12Z7KydmhFOo1X4khMrM8x844VJQuFN3iTkaXz8czXKtdwwLA6ftjX2upwqyR+EtUO+xhKjL9FZ+bFUoZmFMo3NLdU+ZdFUNRBPeQG8JFFEusj4y0ZHc6nGaycU20fHlTBSyFgYU7dVT4Gt+toxYzR0FOVy1kbTUXkMM9UIXSy6KCcPi7VVOWsLtV87up3TQX2LHL9gRKAcK9qHi7zwpKj85YrptfMLwcFkWWbhpARnrbh2Nue5doweXogcrc3NVGgNvvjnqnFN144dg6AceaFbOY+ztvZrx55nvzw5Q80pC4plXjvViPDaWSrPSY4b1nIqd9XXjmRhyc4lzoibkNdONbNIjGBmNFvOQ+Cs52UqZLjBarp2xHsu6ViLlOskqVwpmua6dmLl89+YCfW+3/qgs/KXu5K/O+IPKruKOb+05eKzc1V35X93zIGMq7dp5+bUqur1Dbjc3NdOLlfvJBU9JqZVu3ZiBxZOR9+ipTVeO1WVv8x/88OoLP67v7Qcu3ZW3fUpvj+Wj42pzO25tlaqjC/Vdu1UW7Z+3+ay+btOd+fKP7PlLZ7/VYgGyotmcbGO5mXlEF97ws94C8HiYqN10ApOZhoiBgFsLLRWy+9R00dOqNXIB9Z4Nfug4IJ6Y2J41fWFOt3JUXeQWFyrY/SC/IBYGpuiibWePu5MbZgYnaK2yjK11cPhKp0LKnqhmTq66hCQHv6hW1oqU9/8PBXqEL0gM2v52uFlTAa21qOPg7YyHdPT9Ykt8V07dVyYj7+gsOt0TaciiQt1YGGeptrbaXxuiWYXl9fug1rYp/yBvNzeRgvhQm48ta2/vZnac+QrVl2eWrghWAWeXTL6e0F5uaI+hK+Fm9eNCLC+0E3OKUPhpq6W1XMqz/tdmXL6oJrGt9K2GjMEuyFSxNrwPXHl0/iiMaq+SKXMgrG/SM7Xfu3om36jgVM5a/Et7cCs+doxY3QyEIfzLKQjzGcscvW3N2VfO0L0KQ70UvnwqJryWehor/r73Uquncp0sGCQWnFbi0BpmbUruHaCfoqctbE81fDc+sTi2LVTRYarLKLQ0pQ7r1aOp6qundAsbQQ9FuB1m3I5a2u8dszlGUzjpbmF1HzPrGun2vcJ5SyVfZ0jakJ8jMl/7aTGILTny6wV146aPl7ttSPPR3huM521tVw74nOBvmZMXEg1MQjVXjturSsVWtpziKi1hUrbh9bu2kkSDY+eUO+Ppa3pNx9W7e9OcLCg3+fmMyN4tHu51mvHc8Cg7ISFQ/Umq3HtZArF3s8xK7h2cpbPNwf8n9nmV+8zW6zcAHb1lgb71M2Z2q+dGm8MHBuniWITLTa3rG30gqft25YC0f/eSrC4WD3WkdLf7SaPjCkhsgOLi6UCsRbUHeMmW15W0yrHWtqoJccKsisvOPjTOj+3SD2LC1SqS/RCEA3Af2xmR8ZokQrUV4/oBZEL3DU7Q4s99VhcTBWs/j926IT6WQ+Hq5wW1DwxTVNVfPFdWcGqVDpxZIyaqFKXPzYmnzecIjze0kotOaYdrua107su186J4NoZroeztkIt/N40NUv3qw8va7kaK0XO2vk5Jdau/SqwOiJggpbCL/Xqg/+afSiNXIs8PVfl74U5ljwldImjF1ZbmC6E4jCXFQpv8gYWt5U/9K/KND7HqRz7khN+eV1YCqbArspUSf4qMTsfCDMJU+j16s0swreUCjTQUeP7hLl7sazOYdq1736RXFFuYCXIMksTh53Na792hLM2mHparGL2ZOCqqm4MF9Rq11Qu25mbufZcwbWjPxeEq7srR2KKWOrsVtu1U3CctY64ZbJqPcer6dox3zOjL5zN5+2m5gvOyFdfUeWqrp2CrdaqvtUCW1XO2iqvHX1ylisqAkE9VY1YG7t2qlgkz4iVhdpiEGq6djxirXbW5opBqOHa8YgXZtxWscBY7mtHDAa1YBz3qblO8i4wtoK/O6LSPLuhtGUg13ui3nVlf3fEZ9xDxwOHelYMwmr93TEHq1B5JPgOU9yc/B1Gf46p+tpJK1xFVM2kLhy6GteOFxaK9ecKJ/5hRX93clFQTvXKeLSAqX3tzNHwasdlSXi8hZ83Vv0zW473FXb1Hm5pW53PbLnLD9q9bXFeXWP7p+u1uFjE5KFR9d1uaCsWF0sDYi2oOzKDp216muacAPW1Kzj4cfzgqBr4XXW6k2OCtMeC6IVSHaaP6ztj0xOz1F1eomYRFL/Wd8sKlYqKXpgulqi7r7OOwvQy9c7N0nKOlbxXqeDARXw4mL5Sl+gF4XJrm5ym2TpELzTGtTNVv2uHiIbLC+rx3jUXa8OxO79AneUlmmxvVx/UulpK1N26Rjewwi8YKpM3/BLEC1Ws+EtOUnHCWSsdE1Ig2NKz+m4J5XJlV6YWFcyXwKDcVc3l0vmqHlem/vLKbolViV7QebwsRvOHuIF0Z63KcF3BND7df2pxsfJyhrM2+Dk1v0QTcyv74K8WF5uYzifWhl8kV3rtKDdTzr8flrM273gSrk+50nbVMQi1XjsmBmFWOU2VqzaXs3aF147IrI0tyMTlFwteMai2a8eesq6K2DJITds5uT8fNV07jrO2yK7lMPIhl1hb67UT7rh4+320dN+hoOwcznDftcOLI3W35nTp6W7mGADRP3kWGFut92KeHs+uS7OQW+YCYzVeO4U0Z23zGrQ1enMJbnCIGIS8mbXhtXNkqoa/O8IAUZnimJYqnP8r/bsjFLry4eO5snJX8++OFkzLR0bV33K+jlO2NOOpqmsn44BqOr6afeGJQVirzzGhUaE8lnDTeSV/d3KVHy6qVqmIz4l2W9dykS8Vm8Ui9UD3yq6dqsoOr3G+ET46QUeaW1flM1s1FeASti7NU7m/WznE12x9Do8Rh7WC5ePjdLSllbrbsbhYGhBrQf3RXxgWy9S3wNPH6yMkqjemCtH0yFg4fXygjoJThTqnZ2ghDA+vF3r6eG8dohcCgj/4TeOTSniqS4lamD4xHUQvDPXWran88WXp+DiNNzVTexUrMK/YWVtept6FOVw7q92/4QfWTUvzVCkU6HippS4fXrQrc6KtfW0yXD1CJi8wtBw67kdnFml+aXlt2qrf78em1OJpwVMF8wGc3QNtOad2Vov8wqE/95rp46vlDNFfcnTWmiM6FbQYPjFPpQLRcFfr6sVKtLZErjJvtbT7ZuVl6sU30qeFBrDww9Q8nnh8sEuQM45zOWv1eKrx2hHuxDx5tWqXsLV87cwtcfRCFYtB8UwFFmD4ZgmP/SpmR0RiSO3XDufkmqnjVThrl2q5dgoFWrp7P83/9E6i+QW/WJvgFnSvnVxTYEUf10pt146TWRtel+yaNguNpe9d07Vjhu6RUVq68/7AiZhDHE66dnJPgZXOWrlLFcJ0VdeOh9JgL7U99qFRe3M4a5drunaimyzmGe2azumsreraETPjOJc3iEEIxeHcztpIhM997biV5hlGM3O5xu+q/d3RfVwuq88MRXFTa83/7kjB9MgJKqW4aq1rJ1xcbMXTx8NZM8sjJ4IFtjzX0mpdO/EDB39XzIwkx0RV+7WTt3yOrgo/Y4Q3TFf0dyd3ucEPc/Ob+30l106VhavMY/6swwuoNbet3me2fMVTcalMQ+UFOtEeGKvq5qwNr7O2ySma7uysS/TCyQzEWlB3zBswTzmso0tPi2t6+njzamczJpZbUC6h3qUFaqrT9HHdyfPHxmihUKDetZ4+buXQEHXPztJSxtSl1UK/yc8fDR2u2+slwge3X1smp2m6oz4OVy0QLJyYUKtDdm6q97UzUfdrZ7me1064MN+mpQWaaW9T7exfy6lIWsgcnaClQoGmW1uDPLA1jl7QH0y1s/bgai5UESsvcgnpKfv81Fq6eXWZllgb/mS3RJmnfq3ilxwzhd5z4zHUclVbN3W3UpOzunOtBbIjoaRcIP7j8UhmAZ6/1K3G9EyeIshOo7RpzrouPJ5am4q1XzvCyZa1ErjrwKxlPMk+TIqV8JVZ9bXjnCqeXsz5otV8UVnRtWNiEGai6IUcU/V17UZquXb488/svFpRPnDWOjEIxWLkGky7drr42inW5oKsEj4fVV87ylVbUG2UYm37Ex5JTWftyFVmbdeO7fYs9FT3WWSl106woJhw1ubo90hcW52/O4Xw80iuzNparh3TJo+zNmuBsVquHb0TZxDzry0tkQO+mszacOHQ3NeO+z7BN3UrFXNjJ9+uBSUi1v53J/z7NjkTfGbIWFxSl7kqf3eCgwVux/EpKm3qz/devGriWiDecQRDMaHs1b52YkLxsTEqDvXGruOar50qCBYw7TB/i9xrZy0/K5aNSN1uRPiarp2qyub/8Y3+wKxxvKV1hddOteUXqLS0pHSY/aUWai2t8Nqp8vtzy9IidS4uUqVeushJTD2WfAPAIgjvJmoan+LFH+vmcOU3YH5vbJuaprnO+iyQxKi2Tkypsrvr5HDVf2ibxqZovLWd+uswfVzTxFO6l8s0neOO+KoQ/kVnNy9HL2zK8eFutcrlkdwzP0fHNtVpDIdCT/PYlBpX9YleiK6d9qkZmq3TwnwMt7HZXDv1WUhNOWvLC3SstV05NNZ0KpK4q88i+MR8mSbny2v8Qa2gVn7lVW8pdIMfHJ+nntYm6lqL6AXRfTIGgV0aRyfn6bIz1uA9seBz1oZf6Mbn1cu8wu9qFWam7J93mufVaPrgqgjE2iF8fIKaz9qevFkhKHPVoheWlzNdp0bAHJ9f2bWjXXssZOb428Vb8/TXmq8dOUadrL48beXpr3muHZPXH+6sVjkPV7yupqo1Xzv6vsncQuTIziECreja0WVq4cdx1pZ2baZCh/94NV07xlmbv4q+Kld97ZjptIGIotuUZ/yu6Nppaaam07dR8wNOo+XZ+dzZor5rZ1sN74lq4bYq+7qWaycVLdJm3ESu+drxaLXK6ZriCl/RtSPikdSvfM2EUSL5nbXRtVP1onHhz+Uw27pYjbOWhf8V/N0x93Y5dofLzpG/vGp/d9TBoocsWmZtytdNrdeO74C8+CP/SxKKV/3akYUvV6h8dIyaz9nle3WNP7N5brA7186qRld5hGI1M4q/64gc7zWPQVMRWhNKJF4sllZ07VRffvCDM2PvWSjQlp56RC9E9EwHGesdm+s18/fkBc5aUHf0F5be2Vkaa26htow706tYMBUrlTB6oV65psGbfu/sDC1RgfrrITgx4fttzyxHL9RTXCuoMpm+OgvTPbOzNNlepwzXoGTqWpin1kqF2uvkXI7aOkPjTS3U1r5W03PcgolK6tqJr3a/1tcOn1deRqS/Ln/QgxyloaUFup+a1IeXtS6PYefZWGubmorKrGX0gv4spqZ7FYrGpbF2bQ2FN56eG67IzuN4dGaB5sursIJy2gd/IbxJR8pgZ7Ny4KxOWWGMRcKUfa7KUrmi3CGr0VbjeJnnfLX0xb64rezk5YU5VlZo8CMrz1X28WqMp2qE0xVdO1ocZldNzkgC/TmG21r1YlC6vKYmc03kr+oKrh3pIA6dtSYGIYeztqZ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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PLV (Phase Locking Value) quantifies how consistent the phase difference is.\n", + "High PLV = synchronized oscillations; Low PLV = independent oscillations.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 11: Phase Synchronization Preview\n", + "# ============================================================================\n", + "\n", + "# Create two signals with varying phase synchronization\n", + "fs = 250\n", + "duration = 4.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "freq = 10\n", + "\n", + "# Signal 1: Reference\n", + "signal1 = np.sin(2 * np.pi * freq * t)\n", + "\n", + "# Signal 2: Starts synchronized, then desynchronizes, then synchronizes again\n", + "phase_offset = np.zeros_like(t)\n", + "phase_offset[(t > 1) & (t < 2)] = np.linspace(0, np.pi, np.sum((t > 1) & (t < 2)))\n", + "phase_offset[(t >= 2) & (t < 3)] = np.pi + 0.5 * np.random.randn(np.sum((t >= 2) & (t < 3)))\n", + "phase_offset[t >= 3] = np.linspace(np.pi, 0, np.sum(t >= 3))\n", + "\n", + "signal2 = np.sin(2 * np.pi * freq * t + phase_offset)\n", + "\n", + "# Compute analytic signals and phases\n", + "analytic1 = hilbert(signal1)\n", + "analytic2 = hilbert(signal2)\n", + "phase1 = np.angle(analytic1)\n", + "phase2 = np.angle(analytic2)\n", + "\n", + "# Phase difference (circular)\n", + "phase_diff = np.angle(np.exp(1j * (phase1 - phase2)))\n", + "\n", + "# Compute sliding PLV (200ms window)\n", + "window_samples = int(0.2 * fs)\n", + "plv = np.zeros(len(t))\n", + "for i in range(window_samples, len(t)):\n", + " segment = phase_diff[i - window_samples:i]\n", + " plv[i] = np.abs(np.mean(np.exp(1j * segment)))\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(4, 1, figsize=(14, 10))\n", + "\n", + "# Plot 1: Both signals\n", + "ax1 = axes[0]\n", + "ax1.plot(t, signal1, color=COLORS[\"signal_1\"], linewidth=1.5, label='Signal 1', alpha=0.8)\n", + "ax1.plot(t, signal2, color=COLORS[\"signal_2\"], linewidth=1.5, label='Signal 2', alpha=0.8)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Two Signals with Varying Synchronization', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Add period labels\n", + "for start, end, label, color in [(0, 1, 'Sync', COLORS[\"signal_3\"]), \n", + " (1, 2, 'Drifting', COLORS[\"signal_4\"]),\n", + " (2, 3, 'Async', COLORS[\"negative\"]),\n", + " (3, 4, 'Re-sync', COLORS[\"signal_3\"])]:\n", + " ax1.axvspan(start, end, alpha=0.15, color=color)\n", + " ax1.text((start + end) / 2, 1.3, label, ha='center', fontsize=10, color=color)\n", + "\n", + "# Plot 2: Phases\n", + "ax2 = axes[1]\n", + "ax2.plot(t, phase1, color=COLORS[\"signal_1\"], linewidth=1, label='Phase 1')\n", + "ax2.plot(t, phase2, color=COLORS[\"signal_2\"], linewidth=1, label='Phase 2')\n", + "ax2.set_ylabel('Phase (radians)', fontsize=11)\n", + "ax2.set_title('Instantaneous Phases', fontsize=12, fontweight='bold')\n", + "ax2.set_yticks([-np.pi, 0, np.pi])\n", + "ax2.set_yticklabels(['-π', '0', 'π'])\n", + "ax2.legend(loc='upper right', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Plot 3: Phase difference\n", + "ax3 = axes[2]\n", + "ax3.plot(t, phase_diff, color=COLORS[\"signal_5\"], linewidth=1)\n", + "ax3.set_ylabel('Phase diff (rad)', fontsize=11)\n", + "ax3.set_title('Phase Difference: φ₁(t) - φ₂(t)', fontsize=12, fontweight='bold')\n", + "ax3.set_yticks([-np.pi, 0, np.pi])\n", + "ax3.set_yticklabels(['-π', '0', 'π'])\n", + "ax3.grid(True, alpha=0.3)\n", + "\n", + "# Plot 4: PLV\n", + "ax4 = axes[3]\n", + "ax4.plot(t, plv, color=COLORS[\"signal_4\"], linewidth=2)\n", + "ax4.axhline(y=0.5, color='gray', linestyle='--', alpha=0.7)\n", + "ax4.set_xlabel('Time (s)', fontsize=11)\n", + "ax4.set_ylabel('PLV', fontsize=11)\n", + "ax4.set_title('Sliding Phase Locking Value (200ms window)', fontsize=12, fontweight='bold')\n", + "ax4.set_ylim(0, 1.1)\n", + "ax4.grid(True, alpha=0.3)\n", + "\n", + "# Add annotations\n", + "ax4.text(0.5, 0.95, 'High PLV\\n(synchronized)', ha='center', fontsize=9, color=COLORS[\"signal_3\"])\n", + "ax4.text(2.5, 0.15, 'Low PLV\\n(asynchronous)', ha='center', fontsize=9, color=COLORS[\"negative\"])\n", + "\n", + "plt.suptitle('Visualization 11: Phase Synchronization Preview', \n", + " fontsize=14, fontweight='bold', y=1.01)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"PLV (Phase Locking Value) quantifies how consistent the phase difference is.\")\n", + "print(\"High PLV = synchronized oscillations; Low PLV = independent oscillations.\")" + ] + }, + { + "cell_type": "markdown", + "id": "c0efbd39", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 13. Hands-On Exercises\n", + "\n", + "Practice the concepts learned in this notebook." + ] + }, + { + "cell_type": "markdown", + "id": "16703ffe", + "metadata": {}, + "source": [ + "### 🎯 Exercise 1: Envelope Verification\n", + "\n", + "Create a 10 Hz sine wave with time-varying amplitude (amplitude modulation at 1 Hz).\n", + "Extract the envelope using Hilbert transform and verify it matches the known modulation pattern.\n", + "\n", + "**Tasks:**\n", + "1. Create an AM signal: `modulation(t) * sin(2π * 10 * t)` where modulation is a slow function\n", + "2. Extract envelope using Hilbert transform\n", + "3. Compare extracted envelope to original modulation function\n", + "4. Compute and report the correlation" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "29c21758", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 1: Your code here\n", + "# ============================================================================\n", + "\n", + "# Parameters\n", + "fs_ex1 = 250\n", + "duration_ex1 = 3.0\n", + "t_ex1 = np.arange(0, duration_ex1, 1/fs_ex1)\n", + "\n", + "# TODO: Create modulation function (e.g., 0.5 + 0.5 * sin(2π * 1 * t))\n", + "# modulation_ex1 = ...\n", + "\n", + "# TODO: Create AM signal (carrier at 10 Hz)\n", + "# am_signal_ex1 = ...\n", + "\n", + "# TODO: Extract envelope using Hilbert transform\n", + "# envelope_ex1 = ...\n", + "\n", + "# TODO: Plot comparison and compute correlation\n", + "# ..." + ] + }, + { + "cell_type": "markdown", + "id": "8355e99d", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Parameters\n", + "fs_ex1 = 250\n", + "duration_ex1 = 3.0\n", + "t_ex1 = np.arange(0, duration_ex1, 1/fs_ex1)\n", + "\n", + "# Create modulation function (slow oscillation between 0.2 and 1)\n", + "modulation_ex1 = 0.6 + 0.4 * np.sin(2 * np.pi * 1 * t_ex1)\n", + "\n", + "# Create AM signal (carrier at 10 Hz)\n", + "am_signal_ex1 = modulation_ex1 * np.sin(2 * np.pi * 10 * t_ex1)\n", + "\n", + "# Extract envelope using Hilbert transform\n", + "analytic_ex1 = hilbert(am_signal_ex1)\n", + "envelope_ex1 = np.abs(analytic_ex1)\n", + "\n", + "# Plot comparison\n", + "fig, ax = plt.subplots(figsize=(12, 4))\n", + "ax.plot(t_ex1, am_signal_ex1, color=COLORS[\"signal_1\"], alpha=0.5, label='AM Signal')\n", + "ax.plot(t_ex1, modulation_ex1, color=COLORS[\"negative\"], linewidth=2, label='True modulation')\n", + "ax.plot(t_ex1, envelope_ex1, color=COLORS[\"signal_4\"], linewidth=2, linestyle='--', label='Extracted envelope')\n", + "ax.set_xlabel('Time (s)')\n", + "ax.set_ylabel('Amplitude')\n", + "ax.set_title('Exercise 1: Envelope Verification')\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n", + "# Compute correlation\n", + "correlation_ex1 = np.corrcoef(modulation_ex1, envelope_ex1)[0, 1]\n", + "print(f\"Correlation between true modulation and extracted envelope: {correlation_ex1:.4f}\")\n", + "```\n", + "\n", + "**Expected result**: Correlation should be very close to 1.0 (typically > 0.99), confirming that the Hilbert envelope accurately captures the amplitude modulation.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "53cf1367", + "metadata": {}, + "source": [ + "### 🎯 Exercise 2: Narrowband Requirement Demonstration\n", + "\n", + "Create a signal with two components (8 Hz and 12 Hz). Apply Hilbert directly (no filtering) and observe invalid results. Then filter to each component separately and observe valid envelopes.\n", + "\n", + "**Tasks:**\n", + "1. Create composite signal: `sin(2π * 8 * t) + sin(2π * 12 * t)`\n", + "2. Apply Hilbert directly → observe irregular envelope\n", + "3. Band-pass filter to 7-9 Hz, then Hilbert → observe clean 8 Hz envelope\n", + "4. Band-pass filter to 11-13 Hz, then Hilbert → observe clean 12 Hz envelope" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "25a91c9b", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 2: Your code here\n", + "# ============================================================================\n", + "\n", + "# Parameters\n", + "fs_ex2 = 250\n", + "duration_ex2 = 2.0\n", + "t_ex2 = np.arange(0, duration_ex2, 1/fs_ex2)\n", + "\n", + "# TODO: Create composite signal (8 Hz + 12 Hz)\n", + "# composite_ex2 = ...\n", + "\n", + "# TODO: Apply Hilbert directly (no filtering) - INVALID\n", + "# envelope_direct = ...\n", + "\n", + "# TODO: Filter to 7-9 Hz, then apply Hilbert - VALID for 8 Hz component\n", + "# filtered_8hz = ...\n", + "# envelope_8hz = ...\n", + "\n", + "# TODO: Filter to 11-13 Hz, then apply Hilbert - VALID for 12 Hz component\n", + "# filtered_12hz = ...\n", + "# envelope_12hz = ...\n", + "\n", + "# TODO: Create a 3-subplot figure comparing all three approaches\n", + "# ..." + ] + }, + { + "cell_type": "markdown", + "id": "228313db", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Parameters\n", + "fs_ex2 = 250\n", + "duration_ex2 = 2.0\n", + "t_ex2 = np.arange(0, duration_ex2, 1/fs_ex2)\n", + "\n", + "# Create composite signal (8 Hz + 12 Hz)\n", + "composite_ex2 = np.sin(2 * np.pi * 8 * t_ex2) + np.sin(2 * np.pi * 12 * t_ex2)\n", + "\n", + "# Apply Hilbert directly (no filtering) - INVALID\n", + "analytic_direct = hilbert(composite_ex2)\n", + "envelope_direct = np.abs(analytic_direct)\n", + "\n", + "# Filter to 7-9 Hz, then apply Hilbert - VALID for 8 Hz component\n", + "filtered_8hz = bandpass_filter(composite_ex2, 7, 9, fs_ex2)\n", + "envelope_8hz = np.abs(hilbert(filtered_8hz))\n", + "\n", + "# Filter to 11-13 Hz, then apply Hilbert - VALID for 12 Hz component\n", + "filtered_12hz = bandpass_filter(composite_ex2, 11, 13, fs_ex2)\n", + "envelope_12hz = np.abs(hilbert(filtered_12hz))\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Direct Hilbert (invalid)\n", + "axes[0].plot(t_ex2 * 1000, composite_ex2, color=COLORS[\"signal_1\"], alpha=0.5)\n", + "axes[0].plot(t_ex2 * 1000, envelope_direct, color=COLORS[\"negative\"], linewidth=2)\n", + "axes[0].set_title('Direct Hilbert (NO FILTERING) — INVALID: Envelope is irregular', color=COLORS[\"negative\"])\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# 8 Hz filtered (valid)\n", + "axes[1].plot(t_ex2 * 1000, filtered_8hz, color=COLORS[\"signal_1\"], alpha=0.5)\n", + "axes[1].plot(t_ex2 * 1000, envelope_8hz, color=COLORS[\"signal_3\"], linewidth=2)\n", + "axes[1].axhline(y=1, color='gray', linestyle='--', alpha=0.7)\n", + "axes[1].set_title('Band-pass 7-9 Hz → Hilbert — VALID: Clean envelope ≈ 1', color=COLORS[\"signal_3\"])\n", + "axes[1].set_ylabel('Amplitude')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# 12 Hz filtered (valid)\n", + "axes[2].plot(t_ex2 * 1000, filtered_12hz, color=COLORS[\"signal_1\"], alpha=0.5)\n", + "axes[2].plot(t_ex2 * 1000, envelope_12hz, color=COLORS[\"signal_3\"], linewidth=2)\n", + "axes[2].axhline(y=1, color='gray', linestyle='--', alpha=0.7)\n", + "axes[2].set_title('Band-pass 11-13 Hz → Hilbert — VALID: Clean envelope ≈ 1', color=COLORS[\"signal_3\"])\n", + "axes[2].set_xlabel('Time (ms)')\n", + "axes[2].set_ylabel('Amplitude')\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Conclusion: Without filtering, the envelope is meaningless.\")\n", + "print(\"After filtering to a narrow band, we get a clean, constant envelope.\")\n", + "```\n", + "\n", + "**Key insight**: The direct Hilbert on a broadband signal produces an irregular envelope that doesn't represent either component's amplitude. Filtering first isolates each component, giving a meaningful (constant) envelope of ~1.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "05fe84ff", + "metadata": {}, + "source": [ + "### 🎯 Exercise 3: Phase Difference Analysis\n", + "\n", + "Create two sine waves at the same frequency (10 Hz) but with different phases (0 and π/4). Extract the phase of each using Hilbert transform, compute their phase difference, and verify it equals π/4 throughout.\n", + "\n", + "**Tasks:**\n", + "1. Create signal 1: `sin(2π * 10 * t)`\n", + "2. Create signal 2: `sin(2π * 10 * t + π/4)`\n", + "3. Extract phase from both using Hilbert\n", + "4. Compute phase difference and verify it's constant at π/4" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "59293166", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 3: Your code here\n", + "# ============================================================================\n", + "\n", + "# Parameters\n", + "fs_ex3 = 250\n", + "duration_ex3 = 1.0\n", + "t_ex3 = np.arange(0, duration_ex3, 1/fs_ex3)\n", + "expected_phase_diff = np.pi / 4 # 45 degrees\n", + "\n", + "# TODO: Create two signals with known phase difference\n", + "# signal1_ex3 = sin(2π * 10 * t)\n", + "# signal2_ex3 = sin(2π * 10 * t + π/4)\n", + "\n", + "# TODO: Extract phases using Hilbert transform\n", + "# phase1_ex3 = ...\n", + "# phase2_ex3 = ...\n", + "\n", + "# TODO: Compute phase difference (use circular difference!)\n", + "# Hint: phase_diff = np.angle(np.exp(1j * (phase1 - phase2)))\n", + "# phase_diff_ex3 = ...\n", + "\n", + "# TODO: Verify it equals π/4 and plot\n", + "# ..." + ] + }, + { + "cell_type": "markdown", + "id": "523c2451", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Parameters\n", + "fs_ex3 = 250\n", + "duration_ex3 = 2.0\n", + "t_ex3 = np.arange(0, duration_ex3, 1/fs_ex3)\n", + "freq_ex3 = 10 # Hz\n", + "\n", + "# Create two signals with 90° phase difference\n", + "signal1_ex3 = np.sin(2 * np.pi * freq_ex3 * t_ex3)\n", + "signal2_ex3 = np.sin(2 * np.pi * freq_ex3 * t_ex3 + np.pi/2) # 90° = π/2 radians\n", + "\n", + "# Extract phases using Hilbert transform\n", + "phase1_ex3 = np.angle(hilbert(signal1_ex3))\n", + "phase2_ex3 = np.angle(hilbert(signal2_ex3))\n", + "\n", + "# Compute phase difference\n", + "phase_diff_ex3 = phase2_ex3 - phase1_ex3\n", + "\n", + "# Wrap to [-π, π] for proper interpretation\n", + "phase_diff_wrapped_ex3 = np.angle(np.exp(1j * phase_diff_ex3))\n", + "\n", + "# Convert to degrees for display\n", + "phase_diff_degrees = np.rad2deg(phase_diff_wrapped_ex3)\n", + "\n", + "# Create visualization\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Signals\n", + "axes[0].plot(t_ex3 * 1000, signal1_ex3, color=COLORS[\"signal_1\"], label='Signal 1 (reference)')\n", + "axes[0].plot(t_ex3 * 1000, signal2_ex3, color=COLORS[\"negative\"], label='Signal 2 (+90°)')\n", + "axes[0].axvline(x=0, color='gray', linestyle='--', alpha=0.5)\n", + "axes[0].axvline(x=25, color='gray', linestyle='--', alpha=0.5) # Quarter period\n", + "axes[0].set_title('Two 10 Hz Signals with 90° Phase Difference')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Individual phases\n", + "axes[1].plot(t_ex3 * 1000, np.rad2deg(phase1_ex3), color=COLORS[\"signal_1\"], label='Phase 1')\n", + "axes[1].plot(t_ex3 * 1000, np.rad2deg(phase2_ex3), color=COLORS[\"negative\"], label='Phase 2')\n", + "axes[1].set_title('Instantaneous Phases (Extracted via Hilbert)')\n", + "axes[1].set_ylabel('Phase (degrees)')\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Phase difference\n", + "axes[2].plot(t_ex3 * 1000, phase_diff_degrees, color=COLORS[\"signal_3\"], linewidth=2)\n", + "axes[2].axhline(y=90, color='gray', linestyle='--', label='Expected: 90°')\n", + "axes[2].set_title('Phase Difference (Signal 2 - Signal 1)')\n", + "axes[2].set_xlabel('Time (ms)')\n", + "axes[2].set_ylabel('Phase Difference (degrees)')\n", + "axes[2].legend()\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Statistics\n", + "mean_diff = np.mean(phase_diff_degrees)\n", + "std_diff = np.std(phase_diff_degrees)\n", + "print(f\"Mean phase difference: {mean_diff:.2f}° (expected: 90°)\")\n", + "print(f\"Standard deviation: {std_diff:.4f}° (should be ~0 for pure sine waves)\")\n", + "```\n", + "\n", + "**Expected result**: The phase difference plot should be a constant line at 90°. Small deviations near the edges are due to edge effects of the Hilbert transform.\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "8e5311cd", + "metadata": {}, + "source": [ + "### 🎯 Exercise 4: Complete EEG Workflow\n", + "\n", + "Generate an EEG-like signal with multiple frequency components and noise. Extract the alpha band envelope and phase. Identify the time points where alpha power is strongest.\n", + "\n", + "**Tasks:**\n", + "1. Generate EEG-like signal: mix of delta (2 Hz), theta (6 Hz), alpha (10 Hz), beta (20 Hz) + noise\n", + "2. Band-pass filter to alpha band (8-13 Hz)\n", + "3. Extract envelope and phase\n", + "4. Find the time point with maximum alpha power (highest envelope value)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "e077857a", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 4: Your code here\n", + "# ============================================================================\n", + "\n", + "# Parameters\n", + "np.random.seed(123) # For reproducibility\n", + "fs_ex4 = 250\n", + "duration_ex4 = 5.0\n", + "t_ex4 = np.arange(0, duration_ex4, 1/fs_ex4)\n", + "\n", + "# TODO: Create EEG-like signal with multiple components\n", + "# delta = 2 * sin(2π * 2 * t) # Delta: 2 Hz\n", + "# theta = 1.5 * sin(2π * 6 * t) # Theta: 6 Hz\n", + "# alpha = (time-varying amplitude) * sin(2π * 10 * t) # Alpha: 10 Hz with bursts\n", + "# beta = 0.5 * sin(2π * 20 * t) # Beta: 20 Hz\n", + "# noise = 0.5 * random noise\n", + "# eeg_ex4 = delta + theta + alpha + beta + noise\n", + "\n", + "# TODO: Band-pass filter to alpha (8-13 Hz)\n", + "# alpha_filtered_ex4 = ...\n", + "\n", + "# TODO: Extract envelope and phase\n", + "# alpha_envelope_ex4 = ...\n", + "# alpha_phase_ex4 = ...\n", + "\n", + "# TODO: Find time of maximum alpha power\n", + "# max_alpha_time = ...\n", + "\n", + "# TODO: Create visualization showing raw, filtered, envelope, and mark the maximum\n", + "# ..." + ] + }, + { + "cell_type": "markdown", + "id": "b5320f6c", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Parameters\n", + "fs_ex4 = 250\n", + "duration_ex4 = 4.0\n", + "t_ex4 = np.arange(0, duration_ex4, 1/fs_ex4)\n", + "\n", + "# Create realistic EEG with multiple components\n", + "np.random.seed(42)\n", + "# Alpha (8-12 Hz) - dominant rhythm with varying amplitude\n", + "alpha_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.5 * t_ex4) # Slow modulation\n", + "alpha = alpha_mod * np.sin(2 * np.pi * 10 * t_ex4)\n", + "# Beta (13-30 Hz)\n", + "beta = 0.3 * np.sin(2 * np.pi * 20 * t_ex4 + np.pi/4)\n", + "# Theta (4-8 Hz)\n", + "theta = 0.5 * np.sin(2 * np.pi * 6 * t_ex4)\n", + "# Pink noise\n", + "noise = 0.2 * np.cumsum(np.random.randn(len(t_ex4)))\n", + "noise = noise - np.mean(noise)\n", + "noise = noise / np.std(noise) * 0.2\n", + "\n", + "# Composite EEG signal\n", + "eeg_ex4 = alpha + beta + theta + noise\n", + "\n", + "# Step 1: Filter to alpha band (8-12 Hz)\n", + "alpha_filtered = bandpass_filter(eeg_ex4, 8, 12, fs_ex4)\n", + "\n", + "# Step 2: Apply Hilbert transform\n", + "alpha_analytic = hilbert(alpha_filtered)\n", + "\n", + "# Step 3: Extract envelope and phase\n", + "alpha_envelope = np.abs(alpha_analytic)\n", + "alpha_phase = np.angle(alpha_analytic)\n", + "\n", + "# Step 4: Compute instantaneous frequency\n", + "alpha_phase_unwrapped = np.unwrap(alpha_phase)\n", + "alpha_inst_freq = np.diff(alpha_phase_unwrapped) * fs_ex4 / (2 * np.pi)\n", + "\n", + "# Create comprehensive figure\n", + "fig, axes = plt.subplots(5, 1, figsize=(14, 12))\n", + "\n", + "# Raw EEG\n", + "axes[0].plot(t_ex4 * 1000, eeg_ex4, color='gray', alpha=0.7)\n", + "axes[0].set_title('Raw EEG Signal (Composite)', fontsize=11)\n", + "axes[0].set_ylabel('Amplitude (μV)')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Filtered alpha\n", + "axes[1].plot(t_ex4 * 1000, alpha_filtered, color=COLORS[\"signal_1\"], alpha=0.6)\n", + "axes[1].plot(t_ex4 * 1000, alpha_envelope, color=COLORS[\"negative\"], linewidth=2, label='Envelope')\n", + "axes[1].plot(t_ex4 * 1000, -alpha_envelope, color=COLORS[\"negative\"], linewidth=2)\n", + "axes[1].set_title('Alpha Band (8-12 Hz) with Hilbert Envelope', fontsize=11)\n", + "axes[1].set_ylabel('Amplitude (μV)')\n", + "axes[1].legend(loc='upper right')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Envelope only\n", + "axes[2].fill_between(t_ex4 * 1000, 0, alpha_envelope, color=COLORS[\"negative\"], alpha=0.3)\n", + "axes[2].plot(t_ex4 * 1000, alpha_envelope, color=COLORS[\"negative\"], linewidth=2)\n", + "axes[2].axhline(y=np.mean(alpha_envelope), color='gray', linestyle='--', \n", + " label=f'Mean = {np.mean(alpha_envelope):.2f}')\n", + "axes[2].set_title('Alpha Amplitude Envelope (Power Dynamics)', fontsize=11)\n", + "axes[2].set_ylabel('Amplitude')\n", + "axes[2].legend(loc='upper right')\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "# Instantaneous phase\n", + "axes[3].plot(t_ex4 * 1000, alpha_phase, color=COLORS[\"signal_3\"], linewidth=1)\n", + "axes[3].set_title('Instantaneous Phase', fontsize=11)\n", + "axes[3].set_ylabel('Phase (radians)')\n", + "axes[3].set_ylim(-np.pi - 0.5, np.pi + 0.5)\n", + "axes[3].axhline(y=0, color='gray', linestyle='--', alpha=0.5)\n", + "axes[3].grid(True, alpha=0.3)\n", + "\n", + "# Instantaneous frequency\n", + "axes[4].plot(t_ex4[:-1] * 1000, alpha_inst_freq, color='purple', linewidth=1)\n", + "axes[4].axhline(y=10, color='gray', linestyle='--', label='Center freq (10 Hz)')\n", + "axes[4].set_title('Instantaneous Frequency', fontsize=11)\n", + "axes[4].set_xlabel('Time (ms)')\n", + "axes[4].set_ylabel('Frequency (Hz)')\n", + "axes[4].set_ylim(5, 15)\n", + "axes[4].legend(loc='upper right')\n", + "axes[4].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Summary statistics\n", + "print(\"=\" * 60)\n", + "print(\"ALPHA BAND ANALYSIS SUMMARY\")\n", + "print(\"=\" * 60)\n", + "print(f\"Mean alpha amplitude: {np.mean(alpha_envelope):.3f}\")\n", + "print(f\"Max alpha amplitude: {np.max(alpha_envelope):.3f}\")\n", + "print(f\"Amplitude variability (CV): {np.std(alpha_envelope)/np.mean(alpha_envelope)*100:.1f}%\")\n", + "print(f\"Mean instantaneous frequency: {np.mean(alpha_inst_freq):.2f} Hz\")\n", + "print(f\"Frequency variability (std): {np.std(alpha_inst_freq):.2f} Hz\")\n", + "```\n", + "\n", + "**Expected result**: You should see the alpha envelope showing the slow 0.5 Hz modulation we built into the signal. The instantaneous frequency should fluctuate around 10 Hz. This demonstrates a complete workflow for analyzing band-specific dynamics in EEG.\n", + "\n", + "
" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "2d1272f0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "This workflow is the foundation for most phase-based connectivity metrics!\n", + "Next notebooks will build on these concepts.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 12: Summary Diagram\n", + "# ============================================================================\n", + "\n", + "# Create a summary visualization of the complete workflow\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 8))\n", + "\n", + "# Parameters\n", + "fs = 250\n", + "duration = 1.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create a mixed signal\n", + "np.random.seed(42)\n", + "raw_signal = (np.sin(2 * np.pi * 10 * t) + \n", + " 0.5 * np.sin(2 * np.pi * 5 * t) + \n", + " 0.3 * np.sin(2 * np.pi * 20 * t) +\n", + " 0.3 * np.random.randn(len(t)))\n", + "\n", + "# Step 1: Raw signal\n", + "ax1 = axes[0, 0]\n", + "ax1.plot(t * 1000, raw_signal, color='gray', linewidth=1)\n", + "ax1.set_ylabel('Amplitude', fontsize=10)\n", + "ax1.set_title('1. Raw Signal', fontsize=11, fontweight='bold')\n", + "ax1.set_xlabel('Time (ms)', fontsize=10)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Step 2: Band-pass filter\n", + "filtered = bandpass_filter(raw_signal, 8, 12, fs)\n", + "ax2 = axes[0, 1]\n", + "ax2.plot(t * 1000, filtered, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "ax2.set_ylabel('Amplitude', fontsize=10)\n", + "ax2.set_title('2. Band-pass Filter (8-12 Hz)', fontsize=11, fontweight='bold')\n", + "ax2.set_xlabel('Time (ms)', fontsize=10)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "# Step 3: Hilbert transform\n", + "analytic = hilbert(filtered)\n", + "ax3 = axes[0, 2]\n", + "ax3.plot(np.real(analytic), np.imag(analytic), color=COLORS[\"signal_5\"], linewidth=0.8, alpha=0.7)\n", + "ax3.set_xlabel('Real (signal)', fontsize=10)\n", + "ax3.set_ylabel('Imaginary (Hilbert)', fontsize=10)\n", + "ax3.set_title('3. Analytic Signal', fontsize=11, fontweight='bold')\n", + "ax3.set_aspect('equal')\n", + "ax3.grid(True, alpha=0.3)\n", + "\n", + "# Step 4: Envelope\n", + "envelope = np.abs(analytic)\n", + "ax4 = axes[1, 0]\n", + "ax4.plot(t * 1000, filtered, color=COLORS[\"signal_1\"], linewidth=0.8, alpha=0.5)\n", + "ax4.plot(t * 1000, envelope, color=COLORS[\"signal_4\"], linewidth=2)\n", + "ax4.plot(t * 1000, -envelope, color=COLORS[\"signal_4\"], linewidth=2)\n", + "ax4.set_ylabel('Amplitude', fontsize=10)\n", + "ax4.set_xlabel('Time (ms)', fontsize=10)\n", + "ax4.set_title('4. Extract Envelope', fontsize=11, fontweight='bold')\n", + "ax4.grid(True, alpha=0.3)\n", + "\n", + "# Step 5: Phase\n", + "phase = np.angle(analytic)\n", + "ax5 = axes[1, 1]\n", + "ax5.plot(t * 1000, phase, color=COLORS[\"signal_5\"], linewidth=1)\n", + "ax5.set_ylabel('Phase (radians)', fontsize=10)\n", + "ax5.set_xlabel('Time (ms)', fontsize=10)\n", + "ax5.set_title('5. Extract Phase', fontsize=11, fontweight='bold')\n", + "ax5.set_yticks([-np.pi, 0, np.pi])\n", + "ax5.set_yticklabels(['-π', '0', 'π'])\n", + "ax5.grid(True, alpha=0.3)\n", + "\n", + "# Step 6: Applications\n", + "ax6 = axes[1, 2]\n", + "ax6.text(0.5, 0.85, 'Applications:', fontsize=12, fontweight='bold', \n", + " ha='center', transform=ax6.transAxes)\n", + "ax6.text(0.5, 0.65, '• Envelope Correlation', fontsize=11, ha='center', \n", + " transform=ax6.transAxes, color=COLORS[\"signal_4\"])\n", + "ax6.text(0.5, 0.50, '• Phase Locking Value (PLV)', fontsize=11, ha='center', \n", + " transform=ax6.transAxes, color=COLORS[\"signal_5\"])\n", + "ax6.text(0.5, 0.35, '• Phase Lag Index (PLI)', fontsize=11, ha='center', \n", + " transform=ax6.transAxes, color=COLORS[\"signal_5\"])\n", + "ax6.text(0.5, 0.20, '• Instantaneous Frequency', fontsize=11, ha='center', \n", + " transform=ax6.transAxes, color=COLORS[\"signal_3\"])\n", + "ax6.set_xlim(0, 1)\n", + "ax6.set_ylim(0, 1)\n", + "ax6.axis('off')\n", + "ax6.set_title('6. Connectivity Metrics', fontsize=11, fontweight='bold')\n", + "\n", + "plt.suptitle('Visualization 12: Complete Hilbert Transform Workflow Summary', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"This workflow is the foundation for most phase-based connectivity metrics!\")\n", + "print(\"Next notebooks will build on these concepts.\")" + ] + }, + { + "cell_type": "markdown", + "id": "106108d3", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 14. Summary\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Definition |\n", + "|---------|------------|\n", + "| **Analytic Signal** | $z(t) = x(t) + i\\hat{x}(t)$ — complex signal with Hilbert transform as imaginary part |\n", + "| **Hilbert Transform** | 90° phase shift of each frequency component |\n", + "| **Instantaneous Amplitude** | $A(t) = \\|z(t)\\|$ — the envelope of the signal |\n", + "| **Instantaneous Phase** | $\\phi(t) = \\arg(z(t))$ — the phase angle at each time point |\n", + "| **Instantaneous Frequency** | $f(t) = \\frac{1}{2\\pi}\\frac{d\\phi}{dt}$ — rate of phase change |\n", + "\n", + "### Complete Workflow\n", + "\n", + "```\n", + "1. Band-pass filter to narrow frequency band (Δf/fc < 0.5)\n", + "2. Apply scipy.signal.hilbert() → analytic signal\n", + "3. Extract amplitude: np.abs(analytic)\n", + "4. Extract phase: np.angle(analytic)\n", + "5. (Optional) Compute instantaneous frequency from phase derivative\n", + "```\n", + "\n", + "### Key Warnings\n", + "\n", + "1. **Narrowband requirement**: Always filter before Hilbert transform\n", + "2. **Edge effects**: Trim or window signal edges\n", + "3. **Phase reliability**: Phase is only meaningful when amplitude is sufficient\n", + "4. **Wrapping**: Phase is circular (-π to π)" + ] + }, + { + "cell_type": "markdown", + "id": "862506c6", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## External Resources\n", + "\n", + "### 🎧 NotebookLM Resources\n", + "\n", + "- [📺 Video Overview](https://notebooklm.google.com/notebook/b9f2793f-11d9-410c-999d-00aada445602?artifactId=f884cad7-8611-4527-9648-75e2a22ff151) - Video overview of Hilbert transform concepts\n", + "- [📝 Quiz](https://notebooklm.google.com/notebook/b9f2793f-11d9-410c-999d-00aada445602?artifactId=818bfae9-c00e-416a-aa7f-5bd70211ea94) - Test your understanding\n", + "- [🗂️ Flashcards](https://notebooklm.google.com/notebook/b9f2793f-11d9-410c-999d-00aada445602?artifactId=dc2a4e04-8bec-459d-ad5a-3c5f82947566) - Review key concepts\n" + ] + }, + { + "cell_type": "markdown", + "id": "1ffe2926", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 16. Discussion Questions\n", + "\n", + "1. **Narrowband Trade-off**: If you want to analyze theta (4-8 Hz) and alpha (8-13 Hz) together, what are your options? What are the trade-offs?\n", + "\n", + "2. **Phase Reliability**: How would you determine if the instantaneous phase is reliable at a given time point? What threshold of amplitude would you use?\n", + "\n", + "3. **Edge Effects in Practice**: In a hyperscanning experiment with 30-second epochs, how much data should you discard from each end when analyzing alpha band (10 Hz)?\n", + "\n", + "4. **Wavelets vs Hilbert**: In what scenarios would you prefer wavelet-based phase extraction over Hilbert transform? Think about EEG event-related analyses.\n", + "\n", + "5. **Interpretation**: Two hyperscanning participants show high PLV in alpha band. Does this mean they have the same alpha phase, or just that their phase difference is stable? What's the distinction?\n", + "\n", + "---\n", + "\n", + "## Next Steps\n", + "\n", + "In the following notebooks, we will:\n", + "- **B02**: Explore phase in detail (unwrapping, circular statistics, phase relationships)\n", + "- **B03**: Deep dive into amplitude envelopes and their applications\n", + "- **B04**: Learn about wavelet-based time-frequency analysis\n", + "\n", + "These concepts will then be applied to specific connectivity metrics in the **G series** (Phase-based metrics) and **H series** (Amplitude-based metrics)." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B01_hilbert_transform_quick.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B01_hilbert_transform_quick.ipynb new file mode 100644 index 0000000..81f050f --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B01_hilbert_transform_quick.ipynb @@ -0,0 +1,678 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# B01: The Hilbert Transform (Quick Version)\n", + "\n", + "**Duration**: ~30 minutes \n", + "**Prerequisites**: A01, A02, A03, A04\n", + "\n", + "> 💡 **Quick Version**: This notebook imports pre-built functions from `src/hilbert.py` instead of defining them inline. For the full tutorial with step-by-step function implementations, see [B01_hilbert_transform.ipynb](B01_hilbert_transform.ipynb).\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "- Understand the analytic signal and its components\n", + "- Extract instantaneous amplitude (envelope) and phase from signals\n", + "- Apply the narrowband requirement for valid Hilbert analysis\n", + "- Use the functions from `src/hilbert.py`\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [The Analytic Signal](#section-2-analytic-signal)\n", + "3. [Extracting Envelope and Phase](#section-3-envelope-phase)\n", + "4. [The Narrowband Requirement](#section-4-narrowband)\n", + "5. [Complete EEG Workflow](#section-5-eeg-workflow)\n", + "6. [Exercises](#section-6-exercises)\n", + "7. [Summary](#summary)\n", + "8. [External Resources](#external-resources)\n", + "9. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumPy version: 2.3.5\n", + "Source path: /Users/remyramadour/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials/src\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parent.parent.parent / \"src\"\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from hilbert import (\n", + " compute_analytic_signal,\n", + " compute_envelope,\n", + " compute_instantaneous_phase,\n", + " compute_instantaneous_frequency\n", + ")\n", + "from filtering import bandpass_filter\n", + "from colors import COLORS\n", + "\n", + "# Matplotlib configuration\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"figure.figsize\"] = (12, 5)\n", + "plt.rcParams[\"font.size\"] = 11\n", + "\n", + "print(f\"NumPy version: {np.__version__}\")\n", + "print(f\"Source path: {src_path}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 1. Introduction\n", + "\n", + "The **Hilbert transform** is a mathematical tool that converts a real signal into a **complex analytic signal**, from which we can extract:\n", + "\n", + "- **Instantaneous amplitude (envelope)**: Signal strength over time\n", + "- **Instantaneous phase**: Position in the oscillatory cycle\n", + "- **Instantaneous frequency**: Rate of phase change\n", + "\n", + "These quantities are essential for connectivity metrics like **PLV** (Phase Locking Value) and **Envelope Correlation**.\n", + "\n", + "**Key requirement**: The signal must be **narrowband filtered** before applying the Hilbert transform for meaningful results." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 2. The Analytic Signal\n", + "\n", + "The **analytic signal** is defined as:\n", + "\n", + "$$z(t) = x(t) + i \\cdot \\mathcal{H}\\{x(t)\\}$$\n", + "\n", + "Where $\\mathcal{H}\\{x(t)\\}$ is the Hilbert transform, which shifts each frequency component by 90°.\n", + "\n", + "From the analytic signal:\n", + "- **Envelope**: $A(t) = |z(t)|$\n", + "- **Phase**: $\\phi(t) = \\arg(z(t))$" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The analytic signal traces a circle in the complex plane.\n", + "The radius is the envelope, the angle is the phase.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 2: The Analytic Signal\n", + "# =============================================================================\n", + "\n", + "# Create a 10 Hz sine wave\n", + "fs = 250\n", + "duration = 1.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "signal = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Compute analytic signal using imported function\n", + "analytic = compute_analytic_signal(signal)\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Time domain\n", + "axes[0].plot(t * 1000, np.real(analytic), color=COLORS[\"signal_1\"], linewidth=2, label=\"Real (original)\")\n", + "axes[0].plot(t * 1000, np.imag(analytic), color=COLORS[\"signal_2\"], linewidth=2, label=\"Imaginary (Hilbert)\")\n", + "axes[0].set_xlabel(\"Time (ms)\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Analytic Signal Components\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Complex plane\n", + "axes[1].plot(np.real(analytic), np.imag(analytic), color=COLORS[\"signal_5\"], linewidth=1)\n", + "axes[1].set_xlabel(\"Real\")\n", + "axes[1].set_ylabel(\"Imaginary\")\n", + "axes[1].set_title(\"Analytic Signal in Complex Plane\")\n", + "axes[1].set_aspect(\"equal\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The analytic signal traces a circle in the complex plane.\")\n", + "print(\"The radius is the envelope, the angle is the phase.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 3. Extracting Envelope and Phase\n", + "\n", + "Using the functions from `src/hilbert.py`:\n", + "\n", + "- `compute_envelope(signal)` → Instantaneous amplitude\n", + "- `compute_instantaneous_phase(signal)` → Phase in radians [-π, π]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Correlation between true modulation and envelope: 1.0000\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 3: Extracting Envelope and Phase\n", + "# =============================================================================\n", + "\n", + "# Create an amplitude-modulated signal\n", + "fs = 250\n", + "duration = 2.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Modulation: slow oscillation at 1 Hz\n", + "modulation = 0.6 + 0.4 * np.sin(2 * np.pi * 1 * t)\n", + "\n", + "# Carrier: 10 Hz sine wave\n", + "carrier = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# AM signal\n", + "am_signal = modulation * carrier\n", + "\n", + "# Extract envelope and phase using imported functions\n", + "envelope = compute_envelope(am_signal)\n", + "phase = compute_instantaneous_phase(am_signal)\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Signal with envelope\n", + "axes[0].plot(t, am_signal, color=COLORS[\"signal_1\"], alpha=0.7, label=\"AM Signal\")\n", + "axes[0].plot(t, envelope, color=COLORS[\"signal_4\"], linewidth=2, label=\"Envelope\")\n", + "axes[0].plot(t, -envelope, color=COLORS[\"signal_4\"], linewidth=2)\n", + "axes[0].plot(t, modulation, color=COLORS[\"signal_3\"], linewidth=2, linestyle=\"--\", label=\"True modulation\")\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Envelope Extraction\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Envelope comparison\n", + "axes[1].plot(t, modulation, color=COLORS[\"signal_3\"], linewidth=2, label=\"True modulation\")\n", + "axes[1].plot(t, envelope, color=COLORS[\"signal_4\"], linewidth=2, linestyle=\"--\", label=\"Extracted envelope\")\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Envelope vs True Modulation\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Phase\n", + "axes[2].plot(t, phase, color=COLORS[\"signal_5\"], linewidth=1)\n", + "axes[2].set_xlabel(\"Time (s)\")\n", + "axes[2].set_ylabel(\"Phase (rad)\")\n", + "axes[2].set_title(\"Instantaneous Phase\")\n", + "axes[2].set_yticks([-np.pi, 0, np.pi])\n", + "axes[2].set_yticklabels([\"-π\", \"0\", \"π\"])\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Correlation between true modulation and extracted envelope\n", + "correlation = np.corrcoef(modulation, envelope)[0, 1]\n", + "print(f\"Correlation between true modulation and envelope: {correlation:.4f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 4. The Narrowband Requirement\n", + "\n", + "**Critical**: The Hilbert transform only produces meaningful results for **narrowband signals**.\n", + "\n", + "Rule of thumb: **Bandwidth / Center frequency < 0.5**\n", + "\n", + "Examples:\n", + "- Alpha band (8-13 Hz): BW=5, fc=10.5 → ratio=0.48 ✓\n", + "- Broadband (1-50 Hz): BW=49, fc=25.5 → ratio=1.92 ✗\n", + "\n", + "**Always filter first, then apply Hilbert transform!**" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Conclusion: Without filtering, the envelope is meaningless.\n", + "After filtering to a narrow band, we get a clean, constant envelope.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 4: The Narrowband Requirement\n", + "# =============================================================================\n", + "\n", + "# Create a composite signal (8 Hz + 12 Hz)\n", + "fs = 250\n", + "duration = 2.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "composite = np.sin(2 * np.pi * 8 * t) + np.sin(2 * np.pi * 12 * t)\n", + "\n", + "# Direct Hilbert (INVALID - broadband)\n", + "envelope_direct = compute_envelope(composite)\n", + "\n", + "# Filter then Hilbert (VALID - narrowband)\n", + "filtered_8hz = bandpass_filter(composite, 7, 9, fs)\n", + "envelope_8hz = compute_envelope(filtered_8hz)\n", + "\n", + "filtered_12hz = bandpass_filter(composite, 11, 13, fs)\n", + "envelope_12hz = compute_envelope(filtered_12hz)\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Direct (invalid)\n", + "axes[0].plot(t * 1000, composite, color=COLORS[\"signal_1\"], alpha=0.5)\n", + "axes[0].plot(t * 1000, envelope_direct, color=COLORS[\"negative\"], linewidth=2)\n", + "axes[0].set_title(\"Direct Hilbert (NO FILTERING) — INVALID: Irregular envelope\", color=COLORS[\"negative\"])\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# 8 Hz filtered (valid)\n", + "axes[1].plot(t * 1000, filtered_8hz, color=COLORS[\"signal_1\"], alpha=0.5)\n", + "axes[1].plot(t * 1000, envelope_8hz, color=COLORS[\"signal_3\"], linewidth=2)\n", + "axes[1].axhline(y=1, color=\"gray\", linestyle=\"--\", alpha=0.7)\n", + "axes[1].set_title(\"Band-pass 7-9 Hz → Hilbert — VALID: Clean envelope ≈ 1\", color=COLORS[\"signal_3\"])\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# 12 Hz filtered (valid)\n", + "axes[2].plot(t * 1000, filtered_12hz, color=COLORS[\"signal_1\"], alpha=0.5)\n", + "axes[2].plot(t * 1000, envelope_12hz, color=COLORS[\"signal_3\"], linewidth=2)\n", + "axes[2].axhline(y=1, color=\"gray\", linestyle=\"--\", alpha=0.7)\n", + "axes[2].set_title(\"Band-pass 11-13 Hz → Hilbert — VALID: Clean envelope ≈ 1\", color=COLORS[\"signal_3\"])\n", + "axes[2].set_xlabel(\"Time (ms)\")\n", + "axes[2].set_ylabel(\"Amplitude\")\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Conclusion: Without filtering, the envelope is meaningless.\")\n", + "print(\"After filtering to a narrow band, we get a clean, constant envelope.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 5. Complete EEG Workflow\n", + "\n", + "A typical workflow for extracting alpha band dynamics from EEG:\n", + "\n", + "1. **Band-pass filter** to alpha (8-13 Hz)\n", + "2. **Apply Hilbert transform** → analytic signal\n", + "3. **Extract envelope** (amplitude dynamics)\n", + "4. **Extract phase** (for connectivity metrics)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean alpha envelope: 1.057\n", + "Mean instantaneous frequency: 10.00 Hz\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 5: Complete EEG Workflow\n", + "# =============================================================================\n", + "\n", + "# Simulate EEG-like signal\n", + "np.random.seed(42)\n", + "fs = 250\n", + "duration = 5.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Multiple components + noise\n", + "delta = 2.0 * np.sin(2 * np.pi * 2 * t) # Delta: 2 Hz\n", + "theta = 1.5 * np.sin(2 * np.pi * 6 * t) # Theta: 6 Hz\n", + "alpha = (1 + 0.5 * np.sin(2 * np.pi * 0.5 * t)) * np.sin(2 * np.pi * 10 * t) # Alpha with modulation\n", + "beta = 0.8 * np.sin(2 * np.pi * 20 * t) # Beta: 20 Hz\n", + "noise = 0.5 * np.random.randn(len(t))\n", + "\n", + "eeg = delta + theta + alpha + beta + noise\n", + "\n", + "# Step 1: Band-pass filter to alpha\n", + "alpha_filtered = bandpass_filter(eeg, 8, 13, fs)\n", + "\n", + "# Step 2-3: Extract envelope and phase\n", + "alpha_envelope = compute_envelope(alpha_filtered)\n", + "alpha_phase = compute_instantaneous_phase(alpha_filtered)\n", + "alpha_inst_freq = compute_instantaneous_frequency(alpha_filtered, fs)\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(4, 1, figsize=(14, 10))\n", + "\n", + "# Raw EEG\n", + "axes[0].plot(t, eeg, color=COLORS[\"signal_1\"], linewidth=0.8)\n", + "axes[0].set_ylabel(\"Amplitude\")\n", + "axes[0].set_title(\"Raw EEG (simulated)\")\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Filtered alpha with envelope\n", + "axes[1].plot(t, alpha_filtered, color=COLORS[\"alpha\"], alpha=0.6, label=\"Alpha filtered\")\n", + "axes[1].plot(t, alpha_envelope, color=COLORS[\"signal_4\"], linewidth=2, label=\"Envelope\")\n", + "axes[1].plot(t, -alpha_envelope, color=COLORS[\"signal_4\"], linewidth=2)\n", + "axes[1].set_ylabel(\"Amplitude\")\n", + "axes[1].set_title(\"Alpha Band (8-13 Hz) with Envelope\")\n", + "axes[1].legend(loc=\"upper right\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Phase\n", + "axes[2].plot(t, alpha_phase, color=COLORS[\"signal_5\"], linewidth=0.8)\n", + "axes[2].set_ylabel(\"Phase (rad)\")\n", + "axes[2].set_title(\"Alpha Instantaneous Phase\")\n", + "axes[2].set_yticks([-np.pi, 0, np.pi])\n", + "axes[2].set_yticklabels([\"-π\", \"0\", \"π\"])\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "# Instantaneous frequency\n", + "axes[3].plot(t, alpha_inst_freq, color=COLORS[\"signal_6\"], linewidth=0.8)\n", + "axes[3].axhline(y=10, color=\"gray\", linestyle=\"--\", alpha=0.7, label=\"10 Hz\")\n", + "axes[3].set_xlabel(\"Time (s)\")\n", + "axes[3].set_ylabel(\"Frequency (Hz)\")\n", + "axes[3].set_title(\"Alpha Instantaneous Frequency\")\n", + "axes[3].set_ylim(5, 15)\n", + "axes[3].legend(loc=\"upper right\")\n", + "axes[3].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Mean alpha envelope: {np.mean(alpha_envelope):.3f}\")\n", + "print(f\"Mean instantaneous frequency: {np.mean(alpha_inst_freq):.2f} Hz\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 6. Exercises\n", + "\n", + "### 🎯 Exercise 1: Phase Difference Analysis\n", + "\n", + "**Task:** Create two 10 Hz sine waves with a 90° phase difference. Extract their phases using the Hilbert transform and verify the phase difference is constant at π/2.\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Create two signals with 90° phase difference\n", + "signal1 = np.sin(2 * np.pi * 10 * t)\n", + "signal2 = np.sin(2 * np.pi * 10 * t + np.pi/2)\n", + "\n", + "# Extract phases\n", + "phase1 = compute_instantaneous_phase(signal1)\n", + "phase2 = compute_instantaneous_phase(signal2)\n", + "\n", + "# Compute phase difference (circular)\n", + "phase_diff = np.angle(np.exp(1j * (phase2 - phase1)))\n", + "\n", + "print(f\"Mean phase difference: {np.mean(phase_diff):.4f} rad (expected: {np.pi/2:.4f})\")\n", + "```\n", + "\n", + "
\n", + "\n", + "### 🎯 Exercise 2: Theta Band Analysis\n", + "\n", + "**Task:** Using the simulated EEG from Section 5, extract the theta band (4-8 Hz) envelope. Compare its dynamics to the alpha envelope.\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Filter to theta band\n", + "theta_filtered = bandpass_filter(eeg, 4, 8, fs)\n", + "\n", + "# Extract envelope\n", + "theta_envelope = compute_envelope(theta_filtered)\n", + "\n", + "# Compare with alpha\n", + "fig, ax = plt.subplots(figsize=(12, 4))\n", + "ax.plot(t, alpha_envelope, color=COLORS[\"alpha\"], label=\"Alpha envelope\")\n", + "ax.plot(t, theta_envelope, color=COLORS[\"theta\"], label=\"Theta envelope\")\n", + "ax.set_xlabel(\"Time (s)\")\n", + "ax.set_ylabel(\"Envelope\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "plt.show()\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 7. Summary\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Definition |\n", + "|---------|------------|\n", + "| **Analytic Signal** | $z(t) = x(t) + i\\hat{x}(t)$ — complex signal with Hilbert transform as imaginary part |\n", + "| **Envelope** | $A(t) = |z(t)|$ — instantaneous amplitude |\n", + "| **Phase** | $\\phi(t) = \\arg(z(t))$ — instantaneous phase |\n", + "| **Instantaneous Frequency** | $f(t) = \\frac{1}{2\\pi}\\frac{d\\phi}{dt}$ — rate of phase change |\n", + "\n", + "### Complete Workflow\n", + "\n", + "```python\n", + "# 1. Filter to narrowband\n", + "filtered = bandpass_filter(signal, low, high, fs)\n", + "\n", + "# 2. Extract envelope and phase\n", + "envelope = compute_envelope(filtered)\n", + "phase = compute_instantaneous_phase(filtered)\n", + "```\n", + "\n", + "### Key Warnings\n", + "\n", + "1. **Narrowband requirement**: Always filter before Hilbert transform\n", + "2. **Edge effects**: Trim signal edges after filtering\n", + "3. **Phase reliability**: Phase is only meaningful when amplitude is sufficient" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 8. External Resources\n", + "\n", + "### 🎧 NotebookLM Resources\n", + "\n", + "- [📺 Video Overview](https://notebooklm.google.com/notebook/b9f2793f-11d9-410c-999d-00aada445602?artifactId=f884cad7-8611-4527-9648-75e2a22ff151) - Video overview of Hilbert transform concepts\n", + "- [📝 Quiz](https://notebooklm.google.com/notebook/b9f2793f-11d9-410c-999d-00aada445602?artifactId=818bfae9-c00e-416a-aa7f-5bd70211ea94) - Test your understanding\n", + "- [🗂️ Flashcards](https://notebooklm.google.com/notebook/b9f2793f-11d9-410c-999d-00aada445602?artifactId=dc2a4e04-8bec-459d-ad5a-3c5f82947566) - Review key concepts" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 9. Discussion Questions\n", + "\n", + "1. **Narrowband Trade-off**: If you want to analyze theta (4-8 Hz) and alpha (8-13 Hz) together, what are your options? What are the trade-offs?\n", + "\n", + "2. **Phase Reliability**: How would you determine if the instantaneous phase is reliable at a given time point?\n", + "\n", + "3. **Edge Effects**: In a hyperscanning experiment with 30-second epochs, how much data should you discard from each end when analyzing alpha band?\n", + "\n", + "---\n", + "\n", + "## Next Steps\n", + "\n", + "- **B02**: Working with Phase (unwrapping, circular statistics)\n", + "- **B03**: Amplitude Envelope applications\n", + "- **B04**: Wavelet-based time-frequency analysis" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02a_circular_statistics.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02a_circular_statistics.ipynb new file mode 100644 index 0000000..85207d2 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02a_circular_statistics.ipynb @@ -0,0 +1,1683 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "c1d99350", + "metadata": {}, + "source": [ + "# B02a: Circular Statistics for Phase Analysis (Part 1 of 2)\n", + "\n", + "**Duration**: ~45 minutes\n", + "\n", + "**Prerequisites**:\n", + "- B01: The Hilbert Transform (instantaneous phase extraction)\n", + "- Basic understanding of trigonometry (sin, cos, angles)\n", + "\n", + "**Learning Objectives**:\n", + "1. Understand why phase is a circular (angular) variable\n", + "2. Master phase wrapping and unwrapping operations\n", + "3. Compute circular mean and variance correctly\n", + "4. Visualize phase distributions using polar plots\n", + "5. Build intuition for the resultant vector length (R)" + ] + }, + { + "cell_type": "markdown", + "id": "692ecc28", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Phase as a Circular Variable](#section-2-phase-circular)\n", + "3. [Phase Wrapping and Unwrapping](#section-3-wrapping)\n", + "4. [Circular Mean](#section-4-circular-mean)\n", + "5. [Circular Variance and Concentration](#section-5-variance)\n", + "6. [Visualizing Phase Distributions](#section-6-visualization)\n", + "7. [Exercises](#section-7-exercises)\n", + "8. [Summary](#section-8-summary)\n", + "9. [External Resources](#section-9-resources)\n", + "10. [Discussion Questions](#section-10-discussion)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3cd146b1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B02a: Circular Statistics for Phase Analysis\n", + "==================================================\n", + "Understanding phase as a circular variable\n", + "Building tools for circular statistics\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# B02a: Circular Statistics for Phase Analysis\n", + "# ============================================================================\n", + "# This notebook explores phase as a circular (angular) variable and builds\n", + "# the foundation for phase-based connectivity metrics like PLV.\n", + "#\n", + "# Prerequisites: B01 (The Hilbert Transform)\n", + "# ============================================================================\n", + "\n", + "# =============================================================================\n", + "# Standard Library Imports\n", + "# =============================================================================\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "from typing import Optional, Tuple\n", + "import matplotlib.pyplot as plt\n", + "from scipy.signal import hilbert\n", + "from scipy.stats import vonmises\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# =============================================================================\n", + "# Local Imports\n", + "# =============================================================================\n", + "src_path = Path.cwd().parents[2] / 'src'\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from colors import COLORS\n", + "from filtering import bandpass_filter\n", + "from hilbert import compute_instantaneous_phase, compute_envelope\n", + "\n", + "# =============================================================================\n", + "# Plot Configuration\n", + "# =============================================================================\n", + "plt.rcParams['figure.facecolor'] = 'white'\n", + "plt.rcParams['axes.facecolor'] = 'white'\n", + "plt.rcParams['axes.grid'] = True\n", + "plt.rcParams['grid.alpha'] = 0.3\n", + "\n", + "print(\"B02a: Circular Statistics for Phase Analysis\")\n", + "print(\"=\" * 50)\n", + "print(\"Understanding phase as a circular variable\")\n", + "print(\"Building tools for circular statistics\")" + ] + }, + { + "cell_type": "markdown", + "id": "bc930e8c", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 1. Introduction\n", + "\n", + "Phase synchronization is one of the most important mechanisms for neural communication. The **\"Communication through Coherence\"** hypothesis proposes that neurons communicate effectively when their oscillations are phase-aligned — allowing information to arrive at optimal moments in the receiving neuron's excitability cycle.\n", + "\n", + "Many of the key connectivity metrics we'll study are built on phase relationships:\n", + "- **PLV** (Phase Locking Value): measures consistency of phase difference\n", + "- **PLI** (Phase Lag Index): considers the direction of phase lead/lag\n", + "- **wPLI** (weighted PLI): weights by the magnitude of phase difference\n", + "\n", + "However, phase is fundamentally different from ordinary numbers — **it is circular**. An angle of 359° is very close to 1°, even though numerically they seem far apart. Standard statistics like mean and variance do not work correctly on circular data.\n", + "\n", + "In this notebook, we build the mathematical tools for proper phase analysis:\n", + "- Phase wrapping and unwrapping\n", + "- Circular statistics (mean, variance, concentration)\n", + "- Visualization techniques for phase data\n", + "\n", + "These tools form the foundation for all phase-based connectivity metrics." + ] + }, + { + "cell_type": "markdown", + "id": "74c51591", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 2. Phase as a Circular Variable\n", + "\n", + "Phase is an **angle**, typically represented in radians within the range [-π, π] or [0, 2π]. The key property that makes phase special is that it **wraps around**: a phase of π + 0.1 is actually very close to -π + 0.1, because they represent nearly the same position on the circle.\n", + "\n", + "**Analogy: Clock times**\n", + "\n", + "Consider the times 11:55 PM and 00:05 AM. Numerically, they seem very different (almost 12 hours apart), but in reality they are only 10 minutes apart. This is exactly how phase works!\n", + "\n", + "**The averaging problem**\n", + "\n", + "Linear arithmetic fails with circular data. Consider two phase values:\n", + "- φ₁ = -0.9π (just below -π, on the \"negative\" side)\n", + "- φ₂ = +0.9π (just above π, on the \"positive\" side)\n", + "\n", + "The linear mean is (−0.9π + 0.9π) / 2 = 0. But this is completely wrong! Both phases are near π (or equivalently -π), so the mean should be approximately ±π.\n", + "\n", + "We need **circular (directional) statistics** to handle phase correctly." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "e9d48ff5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Key insight: Phase 'wraps around' — values near π and -π are very close!\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 1: Phase as a Point on the Unit Circle\n", + "# ============================================================================\n", + "\n", + "# Create figure with unit circle\n", + "fig, ax = plt.subplots(figsize=(8, 8))\n", + "\n", + "# Draw unit circle\n", + "theta_circle = np.linspace(0, 2 * np.pi, 100)\n", + "ax.plot(np.cos(theta_circle), np.sin(theta_circle), 'k-', linewidth=1.5, alpha=0.3)\n", + "\n", + "# Draw reference lines\n", + "ax.axhline(y=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "ax.axvline(x=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "\n", + "# Define some phase values to show\n", + "phase_values = [0, np.pi/4, np.pi/2, 3*np.pi/4, np.pi, -3*np.pi/4, -np.pi/2, -np.pi/4]\n", + "phase_labels = ['0', 'π/4', 'π/2', '3π/4', 'π', '-3π/4', '-π/2', '-π/4']\n", + "colors = [COLORS[\"signal_1\"], COLORS[\"signal_6\"], COLORS[\"signal_3\"], COLORS[\"signal_4\"], \n", + " COLORS[\"negative\"], COLORS[\"signal_5\"], COLORS[\"signal_2\"], COLORS[\"signal_1\"]]\n", + "\n", + "# Plot each phase as a point on the circle\n", + "for phase, label, color in zip(phase_values, phase_labels, colors):\n", + " x, y = np.cos(phase), np.sin(phase)\n", + " ax.scatter(x, y, s=150, c=color, zorder=5, edgecolors='white', linewidths=2)\n", + " # Add label with offset\n", + " offset = 1.15\n", + " ax.annotate(f'φ = {label}', xy=(x, y), xytext=(offset * x, offset * y),\n", + " fontsize=10, ha='center', va='center')\n", + "\n", + "# Highlight that π and -π are the same point!\n", + "ax.annotate('π and -π are the\\nSAME point!', \n", + " xy=(-1, 0), xytext=(-0.6, -0.2),\n", + " fontsize=11, color=COLORS[\"negative\"], fontweight='bold',\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"negative\"]))\n", + "\n", + "# Draw a phase near the boundary to show closeness\n", + "phase_near_pi_pos = 0.95 * np.pi\n", + "phase_near_pi_neg = -0.95 * np.pi\n", + "x1, y1 = np.cos(phase_near_pi_pos), np.sin(phase_near_pi_pos)\n", + "x2, y2 = np.cos(phase_near_pi_neg), np.sin(phase_near_pi_neg)\n", + "\n", + "ax.scatter([x1, x2], [y1, y2], s=100, c='orange', marker='D', zorder=6, edgecolors='black')\n", + "ax.annotate('+0.95π', xy=(x1, y1), xytext=(x1 - 0.3, y1 + 0.2), fontsize=9)\n", + "ax.annotate('-0.95π', xy=(x2, y2), xytext=(x2 - 0.3, y2 - 0.2), fontsize=9)\n", + "\n", + "# Draw arc showing they are close\n", + "arc_theta = np.linspace(phase_near_pi_pos, 2*np.pi + phase_near_pi_neg, 20)\n", + "ax.plot(1.05 * np.cos(arc_theta), 1.05 * np.sin(arc_theta), \n", + " color='orange', linewidth=2, linestyle='--')\n", + "ax.annotate('Only 0.1π apart!', xy=(-1.1, 0), xytext=(-1.3, 0.25),\n", + " fontsize=10, color='orange', fontweight='bold')\n", + "\n", + "ax.set_xlim(-1.8, 1.8)\n", + "ax.set_ylim(-1.5, 1.5)\n", + "ax.set_aspect('equal')\n", + "ax.set_title('Visualization 1: Phase as a Point on the Unit Circle', \n", + " fontsize=13, fontweight='bold', pad=15)\n", + "ax.set_xlabel('cos(φ)', fontsize=11)\n", + "ax.set_ylabel('sin(φ)', fontsize=11)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Key insight: Phase 'wraps around' — values near π and -π are very close!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "81be73b6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "φ₁ = -0.90π, φ₂ = 0.90π\n", + "Linear mean: 0.00π (completely wrong!)\n", + "Circular mean: 1.00π (correct - both phases are near π)\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 2: The Circular Mean Problem\n", + "# ============================================================================\n", + "\n", + "# Two phases that are both near π\n", + "phi1 = -0.9 * np.pi # Just below π on negative side\n", + "phi2 = 0.9 * np.pi # Just above π on positive side\n", + "\n", + "# Linear mean (WRONG)\n", + "linear_mean = (phi1 + phi2) / 2 # = 0\n", + "\n", + "# Circular mean (CORRECT)\n", + "# Convert to unit vectors, average, convert back\n", + "mean_x = (np.cos(phi1) + np.cos(phi2)) / 2\n", + "mean_y = (np.sin(phi1) + np.sin(phi2)) / 2\n", + "circular_mean = np.arctan2(mean_y, mean_x) # ≈ π or -π\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", + "\n", + "# ---- Left panel: Linear mean (wrong) ----\n", + "ax1 = axes[0]\n", + "\n", + "# Draw unit circle\n", + "theta_circle = np.linspace(0, 2 * np.pi, 100)\n", + "ax1.plot(np.cos(theta_circle), np.sin(theta_circle), 'k-', linewidth=1.5, alpha=0.3)\n", + "ax1.axhline(y=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "ax1.axvline(x=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "\n", + "# Plot the two phases\n", + "x1, y1 = np.cos(phi1), np.sin(phi1)\n", + "x2, y2 = np.cos(phi2), np.sin(phi2)\n", + "ax1.scatter([x1, x2], [y1, y2], s=200, c=[COLORS[\"signal_1\"], COLORS[\"signal_3\"]], \n", + " zorder=5, edgecolors='white', linewidths=2)\n", + "ax1.annotate(f'φ₁ = -0.9π', xy=(x1, y1), xytext=(x1 - 0.4, y1 - 0.25), fontsize=11)\n", + "ax1.annotate(f'φ₂ = +0.9π', xy=(x2, y2), xytext=(x2 - 0.4, y2 + 0.2), fontsize=11)\n", + "\n", + "# Plot linear mean (WRONG) at phase = 0\n", + "x_lin = np.cos(linear_mean)\n", + "y_lin = np.sin(linear_mean)\n", + "ax1.scatter(x_lin, y_lin, s=300, c=COLORS[\"negative\"], marker='X', zorder=6, \n", + " edgecolors='black', linewidths=2)\n", + "ax1.annotate(f'Linear mean = 0\\n(WRONG!)', xy=(x_lin, y_lin), \n", + " xytext=(0.5, 0.4), fontsize=11, color=COLORS[\"negative\"], fontweight='bold',\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"negative\"]))\n", + "\n", + "ax1.set_xlim(-1.6, 1.6)\n", + "ax1.set_ylim(-1.4, 1.4)\n", + "ax1.set_aspect('equal')\n", + "ax1.set_title('Linear Mean: (φ₁ + φ₂) / 2 = 0', fontsize=12, fontweight='bold', color=COLORS[\"negative\"])\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# ---- Right panel: Circular mean (correct) ----\n", + "ax2 = axes[1]\n", + "\n", + "# Draw unit circle\n", + "ax2.plot(np.cos(theta_circle), np.sin(theta_circle), 'k-', linewidth=1.5, alpha=0.3)\n", + "ax2.axhline(y=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "ax2.axvline(x=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "\n", + "# Plot the two phases as vectors\n", + "ax2.arrow(0, 0, 0.9*x1, 0.9*y1, head_width=0.08, head_length=0.05, \n", + " fc=COLORS[\"signal_1\"], ec=COLORS[\"signal_1\"], linewidth=2)\n", + "ax2.arrow(0, 0, 0.9*x2, 0.9*y2, head_width=0.08, head_length=0.05, \n", + " fc=COLORS[\"signal_3\"], ec=COLORS[\"signal_3\"], linewidth=2)\n", + "\n", + "# Plot mean vector\n", + "mean_length = np.sqrt(mean_x**2 + mean_y**2)\n", + "ax2.arrow(0, 0, 0.9*mean_x/mean_length if mean_length > 0 else 0, \n", + " 0.9*mean_y/mean_length if mean_length > 0 else 0, \n", + " head_width=0.08, head_length=0.05, \n", + " fc=COLORS[\"signal_4\"], ec=COLORS[\"signal_4\"], linewidth=3)\n", + "\n", + "# Plot resultant (sum of vectors, not normalized)\n", + "ax2.arrow(0, 0, mean_x, mean_y, head_width=0.05, head_length=0.03,\n", + " fc='gray', ec='gray', linewidth=1, alpha=0.5, linestyle='--')\n", + "\n", + "# Plot circular mean point\n", + "x_circ = np.cos(circular_mean)\n", + "y_circ = np.sin(circular_mean)\n", + "ax2.scatter(x_circ, y_circ, s=300, c=COLORS[\"signal_4\"], marker='*', zorder=6, \n", + " edgecolors='black', linewidths=1)\n", + "\n", + "ax2.annotate(f'Circular mean ≈ π\\n(CORRECT!)', xy=(x_circ, y_circ), \n", + " xytext=(-1.4, 0.5), fontsize=11, color=COLORS[\"signal_3\"], fontweight='bold',\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_3\"]))\n", + "\n", + "ax2.set_xlim(-1.6, 1.6)\n", + "ax2.set_ylim(-1.4, 1.4)\n", + "ax2.set_aspect('equal')\n", + "ax2.set_title('Circular Mean: Average Unit Vectors → arctan2', \n", + " fontsize=12, fontweight='bold', color=COLORS[\"signal_3\"])\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 2: Why Linear Averaging Fails for Phase', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"φ₁ = {phi1/np.pi:.2f}π, φ₂ = {phi2/np.pi:.2f}π\")\n", + "print(f\"Linear mean: {linear_mean/np.pi:.2f}π (completely wrong!)\")\n", + "print(f\"Circular mean: {circular_mean/np.pi:.2f}π (correct - both phases are near π)\")" + ] + }, + { + "cell_type": "markdown", + "id": "57f26fe7", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 3. Phase Wrapping and Unwrapping\n", + "\n", + "When we extract phase from a signal, it is typically **wrapped** to the range [-π, π]. This means that as the phase naturally increases through a cycle, it suddenly \"jumps\" from π back to -π. This is purely a representation artifact — the phase is actually continuous.\n", + "\n", + "**Phase wrapping**: The discontinuous jumps from π to -π (or vice versa)\n", + "\n", + "**Phase unwrapping**: Removing these artificial jumps to create a continuous phase signal\n", + "\n", + "Unwrapping is essential for:\n", + "- Computing **instantaneous frequency** (derivative of phase)\n", + "- Visualizing **phase evolution** over time\n", + "- Tracking **cumulative phase** across many cycles\n", + "\n", + "The `np.unwrap()` function adds or subtracts 2π at each jump to create continuity.\n", + "\n", + "**Caution**: Unwrapping can fail with very noisy or undersampled signals, as it may misinterpret noise as phase jumps." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "9ec5d0ef", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ wrap_phase() and unwrap_phase() functions defined\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# FUNCTIONS: Phase Wrapping and Unwrapping\n", + "# ============================================================================\n", + "\n", + "def wrap_phase(phase: NDArray[np.float64]) -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Wrap phase values to the range [-π, π].\n", + " \n", + " Parameters\n", + " ----------\n", + " phase : NDArray[np.float64]\n", + " Phase values in radians (can be any range).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Phase values wrapped to [-π, π].\n", + " \n", + " Examples\n", + " --------\n", + " >>> wrap_phase(np.array([3.5, -3.5, 7.0]))\n", + " array([-2.78..., 2.78..., 0.71...])\n", + " \"\"\"\n", + " return np.angle(np.exp(1j * phase))\n", + "\n", + "\n", + "def unwrap_phase(phase: NDArray[np.float64]) -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Unwrap phase to create a continuous signal.\n", + " \n", + " Removes discontinuities by adding ±2π at each jump.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase : NDArray[np.float64]\n", + " Wrapped phase values in radians.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Unwrapped (continuous) phase values.\n", + " \n", + " Notes\n", + " -----\n", + " Unwrapping may fail with very noisy or undersampled signals.\n", + " \"\"\"\n", + " return np.unwrap(phase)\n", + "\n", + "\n", + "print(\"✓ wrap_phase() and unwrap_phase() functions defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "da6ed272", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Signal: 5 Hz for 2.0 s = 10 complete cycles\n", + "Final unwrapped phase: 61.14 rad = 9.7 × 2π\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 3: Wrapped vs Unwrapped Phase\n", + "# ============================================================================\n", + "\n", + "# Create a long sine wave (multiple cycles)\n", + "fs = 250\n", + "duration = 2.0 # 2 seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "freq = 5 # 5 Hz = 10 cycles in 2 seconds\n", + "\n", + "# Generate signal and extract phase\n", + "signal = np.sin(2 * np.pi * freq * t)\n", + "analytic = hilbert(signal)\n", + "phase_wrapped = np.angle(analytic)\n", + "phase_unwrapped = np.unwrap(phase_wrapped)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 9))\n", + "\n", + "# Signal\n", + "axes[0].plot(t * 1000, signal, color=COLORS[\"signal_1\"], linewidth=1.5)\n", + "axes[0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0].set_title('5 Hz Sine Wave (10 cycles in 2 seconds)', fontsize=12, fontweight='bold')\n", + "axes[0].set_xlim(0, 2000)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Wrapped phase (sawtooth pattern)\n", + "axes[1].plot(t * 1000, phase_wrapped, color=COLORS[\"signal_5\"], linewidth=1.5)\n", + "axes[1].axhline(y=np.pi, color='gray', linestyle='--', alpha=0.5)\n", + "axes[1].axhline(y=-np.pi, color='gray', linestyle='--', alpha=0.5)\n", + "axes[1].set_ylabel('Phase (rad)', fontsize=11)\n", + "axes[1].set_title('Wrapped Phase: Jumps from π to -π (sawtooth pattern)', \n", + " fontsize=12, fontweight='bold', color=COLORS[\"negative\"])\n", + "axes[1].set_xlim(0, 2000)\n", + "axes[1].set_ylim(-4, 4)\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Annotate a jump\n", + "jump_idx = np.where(np.abs(np.diff(phase_wrapped)) > 5)[0][0]\n", + "axes[1].annotate('Phase jump!', xy=(t[jump_idx] * 1000, phase_wrapped[jump_idx]),\n", + " xytext=(t[jump_idx] * 1000 + 100, 2.5), fontsize=10, color=COLORS[\"negative\"],\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"negative\"]))\n", + "\n", + "# Unwrapped phase (continuous)\n", + "axes[2].plot(t * 1000, phase_unwrapped, color=COLORS[\"signal_3\"], linewidth=1.5)\n", + "axes[2].set_xlabel('Time (ms)', fontsize=11)\n", + "axes[2].set_ylabel('Phase (rad)', fontsize=11)\n", + "axes[2].set_title('Unwrapped Phase: Continuous, monotonically increasing', \n", + " fontsize=12, fontweight='bold', color=COLORS[\"signal_3\"])\n", + "axes[2].set_xlim(0, 2000)\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "# Add reference lines for multiples of 2π\n", + "for k in range(1, 11):\n", + " axes[2].axhline(y=k * 2 * np.pi, color='gray', linestyle=':', alpha=0.3)\n", + "\n", + "axes[2].annotate(f'Total: {phase_unwrapped[-1]/(2*np.pi):.1f} cycles', \n", + " xy=(1800, phase_unwrapped[-1]), fontsize=10,\n", + " bbox=dict(boxstyle='round', facecolor='white', alpha=0.8))\n", + "\n", + "plt.suptitle('Visualization 3: Phase Wrapping vs Unwrapping', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Signal: {freq} Hz for {duration} s = {freq * duration:.0f} complete cycles\")\n", + "print(f\"Final unwrapped phase: {phase_unwrapped[-1]:.2f} rad = {phase_unwrapped[-1]/(2*np.pi):.1f} × 2π\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "bbb86493", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "⚠️ Lesson: Unwrapping is reliable for clean signals, but accumulates errors with noise.\n", + " For noisy EEG, prefer working with wrapped phase or use phase differences.\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 4: When Unwrapping Fails (Noisy Signal)\n", + "# ============================================================================\n", + "\n", + "# Create a noisy narrowband signal\n", + "np.random.seed(42)\n", + "fs_noisy = 250\n", + "duration_noisy = 1.0\n", + "t_noisy = np.arange(0, duration_noisy, 1/fs_noisy)\n", + "freq_noisy = 10\n", + "\n", + "# Clean signal\n", + "clean_signal = np.sin(2 * np.pi * freq_noisy * t_noisy)\n", + "\n", + "# Add substantial noise\n", + "noise_level = 1.5 # High noise level\n", + "noisy_signal = clean_signal + noise_level * np.random.randn(len(t_noisy))\n", + "\n", + "# Filter to narrow band (should help but noise still affects phase)\n", + "noisy_filtered = bandpass_filter(noisy_signal, 8, 12, fs_noisy)\n", + "\n", + "# Extract phases\n", + "phase_clean = np.angle(hilbert(clean_signal))\n", + "phase_noisy = np.angle(hilbert(noisy_filtered))\n", + "\n", + "# Unwrap both\n", + "phase_clean_unwrapped = np.unwrap(phase_clean)\n", + "phase_noisy_unwrapped = np.unwrap(phase_noisy)\n", + "\n", + "# Expected unwrapped phase (theoretical)\n", + "expected_unwrapped = 2 * np.pi * freq_noisy * t_noisy\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Clean signal - wrapped\n", + "axes[0, 0].plot(t_noisy * 1000, phase_clean, color=COLORS[\"signal_3\"], linewidth=1)\n", + "axes[0, 0].set_ylabel('Phase (rad)', fontsize=10)\n", + "axes[0, 0].set_title('Clean Signal: Wrapped Phase', fontsize=11, fontweight='bold')\n", + "axes[0, 0].set_ylim(-4, 4)\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Clean signal - unwrapped\n", + "axes[0, 1].plot(t_noisy * 1000, phase_clean_unwrapped, color=COLORS[\"signal_3\"], linewidth=1.5, label='Unwrapped')\n", + "axes[0, 1].plot(t_noisy * 1000, expected_unwrapped, 'k--', alpha=0.5, label='Expected')\n", + "axes[0, 1].set_ylabel('Phase (rad)', fontsize=10)\n", + "axes[0, 1].set_title('Clean Signal: Unwrapped Phase ✓', fontsize=11, fontweight='bold', color=COLORS[\"signal_3\"])\n", + "axes[0, 1].legend(loc='upper left')\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Noisy signal - wrapped\n", + "axes[1, 0].plot(t_noisy * 1000, phase_noisy, color=COLORS[\"negative\"], linewidth=1)\n", + "axes[1, 0].set_xlabel('Time (ms)', fontsize=10)\n", + "axes[1, 0].set_ylabel('Phase (rad)', fontsize=10)\n", + "axes[1, 0].set_title('Noisy Signal: Wrapped Phase (erratic)', fontsize=11, fontweight='bold')\n", + "axes[1, 0].set_ylim(-4, 4)\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Noisy signal - unwrapped (with errors)\n", + "axes[1, 1].plot(t_noisy * 1000, phase_noisy_unwrapped, color=COLORS[\"negative\"], linewidth=1.5, label='Unwrapped (with errors)')\n", + "axes[1, 1].plot(t_noisy * 1000, expected_unwrapped, 'k--', alpha=0.5, label='Expected')\n", + "axes[1, 1].set_xlabel('Time (ms)', fontsize=10)\n", + "axes[1, 1].set_ylabel('Phase (rad)', fontsize=10)\n", + "axes[1, 1].set_title('Noisy Signal: Unwrapping Accumulates Errors ✗', \n", + " fontsize=11, fontweight='bold', color=COLORS[\"negative\"])\n", + "axes[1, 1].legend(loc='upper left')\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "# Calculate error\n", + "final_error = np.abs(phase_noisy_unwrapped[-1] - expected_unwrapped[-1])\n", + "axes[1, 1].annotate(f'Error: {final_error:.1f} rad\\n({final_error/(2*np.pi):.1f} cycles)', \n", + " xy=(900, phase_noisy_unwrapped[-1]), fontsize=10,\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=COLORS[\"negative\"]))\n", + "\n", + "plt.suptitle('Visualization 4: Unwrapping Failure with Noisy Signals', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"⚠️ Lesson: Unwrapping is reliable for clean signals, but accumulates errors with noise.\")\n", + "print(\" For noisy EEG, prefer working with wrapped phase or use phase differences.\")" + ] + }, + { + "cell_type": "markdown", + "id": "64fe034b", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 4. Circular Mean\n", + "\n", + "As we saw earlier, computing the average of phase values requires special treatment. The **circular mean** algorithm:\n", + "\n", + "1. Convert each phase to a **unit vector**: $(cos(\\phi), sin(\\phi))$\n", + "2. **Average** the x and y components separately\n", + "3. Convert back to angle: $\\bar{\\phi} = atan2(\\bar{y}, \\bar{x})$\n", + "\n", + "The result is the **preferred direction** of the phase distribution — the angle where phases tend to cluster.\n", + "\n", + "**Important**: The *magnitude* of the resultant vector (before normalizing) tells us how concentrated the distribution is. This will be key for understanding PLV!" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "2a5ad6c3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ circular_mean() function defined\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# FUNCTION: Circular Mean\n", + "# ============================================================================\n", + "\n", + "def circular_mean(phases: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute the circular (directional) mean of phase values.\n", + " \n", + " Uses the vector averaging method:\n", + " 1. Convert phases to unit vectors\n", + " 2. Average x and y components\n", + " 3. Return angle of resultant vector\n", + " \n", + " Parameters\n", + " ----------\n", + " phases : NDArray[np.float64]\n", + " Array of phase values in radians.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Circular mean in radians, range [-π, π].\n", + " \n", + " Notes\n", + " -----\n", + " The circular mean is undefined when R = 0 (uniform distribution).\n", + " In this case, the function returns 0, but this should be interpreted\n", + " with caution.\n", + " \n", + " Examples\n", + " --------\n", + " >>> circular_mean(np.array([0.1, 0.2, 0.15]))\n", + " 0.15 # Phases clustered around 0.15\n", + " >>> circular_mean(np.array([-0.9*np.pi, 0.9*np.pi]))\n", + " ≈ π # Both near π, not 0!\n", + " \"\"\"\n", + " mean_cos = np.mean(np.cos(phases))\n", + " mean_sin = np.mean(np.sin(phases))\n", + " return np.arctan2(mean_sin, mean_cos)\n", + "\n", + "\n", + "print(\"✓ circular_mean() function defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "9abb0c73", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Concentrated distribution: R = 0.95 (high concentration, mean is meaningful)\n", + "Dispersed distribution: R = 0.28 (low concentration, mean is less meaningful)\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 5: Circular Mean Illustrated\n", + "# ============================================================================\n", + "\n", + "# Generate phases clustered around π/4 with some spread\n", + "np.random.seed(42)\n", + "n_phases = 30\n", + "center_phase = np.pi / 4\n", + "spread = 0.3 # radians\n", + "\n", + "# Use von Mises distribution (circular equivalent of Gaussian)\n", + "phases_clustered = vonmises.rvs(kappa=1/spread**2, loc=center_phase, size=n_phases)\n", + "\n", + "# Wrap to [-π, π]\n", + "phases_clustered = wrap_phase(phases_clustered)\n", + "\n", + "# Compute circular mean\n", + "circ_mean = circular_mean(phases_clustered)\n", + "\n", + "# Compute resultant vector\n", + "mean_cos = np.mean(np.cos(phases_clustered))\n", + "mean_sin = np.mean(np.sin(phases_clustered))\n", + "R = np.sqrt(mean_cos**2 + mean_sin**2)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", + "\n", + "# Left: Unit circle with phases\n", + "ax1 = axes[0]\n", + "theta_circle = np.linspace(0, 2 * np.pi, 100)\n", + "ax1.plot(np.cos(theta_circle), np.sin(theta_circle), 'k-', linewidth=1.5, alpha=0.3)\n", + "ax1.axhline(y=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "ax1.axvline(x=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "\n", + "# Plot individual phases as points\n", + "for phi in phases_clustered:\n", + " ax1.scatter(np.cos(phi), np.sin(phi), s=80, c=COLORS[\"signal_1\"], alpha=0.6, \n", + " edgecolors='white', linewidths=0.5)\n", + "\n", + "# Plot individual unit vectors (faint)\n", + "for phi in phases_clustered:\n", + " ax1.arrow(0, 0, 0.85*np.cos(phi), 0.85*np.sin(phi), \n", + " head_width=0.03, head_length=0.02, fc=COLORS[\"signal_1\"], ec=COLORS[\"signal_1\"], alpha=0.2)\n", + "\n", + "# Plot resultant vector (sum)\n", + "ax1.arrow(0, 0, mean_cos, mean_sin, head_width=0.06, head_length=0.04,\n", + " fc=COLORS[\"signal_4\"], ec=COLORS[\"signal_4\"], linewidth=2, label=f'Resultant (R={R:.2f})')\n", + "\n", + "# Plot circular mean direction\n", + "ax1.arrow(0, 0, 0.95*np.cos(circ_mean), 0.95*np.sin(circ_mean), \n", + " head_width=0.06, head_length=0.04, fc=COLORS[\"signal_3\"], ec=COLORS[\"signal_3\"], linewidth=3)\n", + "\n", + "ax1.set_xlim(-1.5, 1.5)\n", + "ax1.set_ylim(-1.3, 1.3)\n", + "ax1.set_aspect('equal')\n", + "ax1.set_title(f'Circular Mean = {np.rad2deg(circ_mean):.1f}° (R = {R:.2f})', \n", + " fontsize=12, fontweight='bold')\n", + "ax1.set_xlabel('cos(φ)', fontsize=11)\n", + "ax1.set_ylabel('sin(φ)', fontsize=11)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Legend\n", + "ax1.scatter([], [], s=80, c=COLORS[\"signal_1\"], label='Individual phases')\n", + "ax1.plot([], [], color=COLORS[\"signal_4\"], linewidth=2, label=f'Resultant vector (R={R:.2f})')\n", + "ax1.plot([], [], color=COLORS[\"signal_3\"], linewidth=3, label=f'Circular mean direction')\n", + "ax1.legend(loc='lower left', fontsize=9)\n", + "\n", + "# Right: Dispersed distribution for comparison\n", + "ax2 = axes[1]\n", + "\n", + "# Generate uniform-ish distribution\n", + "phases_dispersed = np.random.uniform(-np.pi, np.pi, n_phases)\n", + "circ_mean_disp = circular_mean(phases_dispersed)\n", + "mean_cos_disp = np.mean(np.cos(phases_dispersed))\n", + "mean_sin_disp = np.mean(np.sin(phases_dispersed))\n", + "R_disp = np.sqrt(mean_cos_disp**2 + mean_sin_disp**2)\n", + "\n", + "ax2.plot(np.cos(theta_circle), np.sin(theta_circle), 'k-', linewidth=1.5, alpha=0.3)\n", + "ax2.axhline(y=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "ax2.axvline(x=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "\n", + "for phi in phases_dispersed:\n", + " ax2.scatter(np.cos(phi), np.sin(phi), s=80, c=COLORS[\"negative\"], alpha=0.6,\n", + " edgecolors='white', linewidths=0.5)\n", + " ax2.arrow(0, 0, 0.85*np.cos(phi), 0.85*np.sin(phi),\n", + " head_width=0.03, head_length=0.02, fc=COLORS[\"negative\"], ec=COLORS[\"negative\"], alpha=0.2)\n", + "\n", + "# Resultant (very short for uniform)\n", + "ax2.arrow(0, 0, mean_cos_disp * 3, mean_sin_disp * 3, head_width=0.06, head_length=0.04,\n", + " fc=COLORS[\"signal_4\"], ec=COLORS[\"signal_4\"], linewidth=2)\n", + "\n", + "ax2.set_xlim(-1.5, 1.5)\n", + "ax2.set_ylim(-1.3, 1.3)\n", + "ax2.set_aspect('equal')\n", + "ax2.set_title(f'Dispersed: R = {R_disp:.2f} (mean less meaningful)', \n", + " fontsize=12, fontweight='bold', color=COLORS[\"negative\"])\n", + "ax2.set_xlabel('cos(φ)', fontsize=11)\n", + "ax2.set_ylabel('sin(φ)', fontsize=11)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 5: Circular Mean and Resultant Vector Length (R)', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Concentrated distribution: R = {R:.2f} (high concentration, mean is meaningful)\")\n", + "print(f\"Dispersed distribution: R = {R_disp:.2f} (low concentration, mean is less meaningful)\")" + ] + }, + { + "cell_type": "markdown", + "id": "f36f2323", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 5. Circular Variance and Concentration\n", + "\n", + "The **resultant vector length (R)** is the key measure of phase concentration:\n", + "\n", + "$$R = \\left| \\frac{1}{N} \\sum_{n=1}^{N} e^{i\\phi_n} \\right| = \\sqrt{\\bar{cos}^2 + \\bar{sin}^2}$$\n", + "\n", + "**Interpretation**:\n", + "- **R = 1**: All phases are identical (perfect concentration)\n", + "- **R = 0**: Phases are uniformly distributed (no preferred direction)\n", + "- **0 < R < 1**: Partial concentration\n", + "\n", + "Related measures:\n", + "- **Circular variance**: $V = 1 - R$ (higher = more spread)\n", + "- **Circular standard deviation**: $\\sigma = \\sqrt{-2 \\ln R}$\n", + "\n", + "**Key insight**: R is exactly what **PLV measures**! PLV = R of the phase difference distribution between two signals." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "59f594c6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ resultant_vector_length(), circular_variance(), circular_std() defined\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# FUNCTIONS: Circular Variance and Related Measures\n", + "# ============================================================================\n", + "\n", + "def resultant_vector_length(phases: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute the resultant vector length (R) of a phase distribution.\n", + " \n", + " R measures the concentration of phases:\n", + " - R = 1: all phases identical\n", + " - R = 0: uniform distribution\n", + " \n", + " Parameters\n", + " ----------\n", + " phases : NDArray[np.float64]\n", + " Array of phase values in radians.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Resultant vector length R, range [0, 1].\n", + " \n", + " Notes\n", + " -----\n", + " This is equivalent to PLV when applied to phase differences!\n", + " \"\"\"\n", + " return np.abs(np.mean(np.exp(1j * phases)))\n", + "\n", + "\n", + "def circular_variance(phases: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute the circular variance of a phase distribution.\n", + " \n", + " Circular variance V = 1 - R, where R is the resultant vector length.\n", + " \n", + " Parameters\n", + " ----------\n", + " phases : NDArray[np.float64]\n", + " Array of phase values in radians.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Circular variance V, range [0, 1].\n", + " Higher values indicate more dispersion.\n", + " \"\"\"\n", + " return 1.0 - resultant_vector_length(phases)\n", + "\n", + "\n", + "def circular_std(phases: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute the circular standard deviation of a phase distribution.\n", + " \n", + " Circular std = sqrt(-2 * ln(R)), where R is the resultant vector length.\n", + " \n", + " Parameters\n", + " ----------\n", + " phases : NDArray[np.float64]\n", + " Array of phase values in radians.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Circular standard deviation in radians.\n", + " \n", + " Notes\n", + " -----\n", + " Returns inf if R = 0 (uniform distribution).\n", + " \"\"\"\n", + " R = resultant_vector_length(phases)\n", + " if R == 0:\n", + " return np.inf\n", + " return np.sqrt(-2 * np.log(R))\n", + "\n", + "\n", + "print(\"✓ resultant_vector_length(), circular_variance(), circular_std() defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "e373d205", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Interpretation of R:\n", + " High concentration: R = 0.92 → Phases cluster tightly\n", + " Medium concentration: R = 0.70 → Some clustering\n", + " Low concentration: R = 0.07 → Nearly uniform (no preferred direction)\n", + "\n", + "💡 When applied to phase differences, R becomes PLV!\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 6: Three Levels of Phase Concentration\n", + "# ============================================================================\n", + "\n", + "# Create three distributions with different concentrations\n", + "np.random.seed(123)\n", + "n_samples = 50\n", + "\n", + "# High concentration (κ = 10)\n", + "kappa_high = 10\n", + "phases_high = vonmises.rvs(kappa=kappa_high, loc=np.pi/3, size=n_samples)\n", + "\n", + "# Medium concentration (κ = 2)\n", + "kappa_med = 2\n", + "phases_med = vonmises.rvs(kappa=kappa_med, loc=np.pi/3, size=n_samples)\n", + "\n", + "# Low concentration (nearly uniform, κ = 0.1)\n", + "kappa_low = 0.1\n", + "phases_low = vonmises.rvs(kappa=kappa_low, loc=np.pi/3, size=n_samples)\n", + "\n", + "# Compute R for each\n", + "R_high = resultant_vector_length(phases_high)\n", + "R_med = resultant_vector_length(phases_med)\n", + "R_low = resultant_vector_length(phases_low)\n", + "\n", + "# Create figure with 3 polar plots\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5), subplot_kw=dict(projection='polar'))\n", + "\n", + "distributions = [\n", + " (phases_high, R_high, 'High Concentration', COLORS[\"signal_3\"], kappa_high),\n", + " (phases_med, R_med, 'Medium Concentration', COLORS[\"signal_4\"], kappa_med),\n", + " (phases_low, R_low, 'Low Concentration', COLORS[\"negative\"], kappa_low)\n", + "]\n", + "\n", + "for ax, (phases, R, title, color, kappa) in zip(axes, distributions):\n", + " # Plot phases as points on unit circle\n", + " ax.scatter(phases, np.ones_like(phases), s=50, c=color, alpha=0.7, edgecolors='white')\n", + " \n", + " # Plot mean direction\n", + " mean_dir = circular_mean(phases)\n", + " ax.annotate('', xy=(mean_dir, R), xytext=(mean_dir, 0),\n", + " arrowprops=dict(arrowstyle='->', color='black', lw=2))\n", + " \n", + " # Draw R as radial distance\n", + " ax.plot([mean_dir, mean_dir], [0, R], 'k-', linewidth=2)\n", + " ax.scatter(mean_dir, R, s=100, c='black', zorder=5)\n", + " \n", + " ax.set_ylim(0, 1.2)\n", + " ax.set_rticks([0.5, 1.0])\n", + " ax.set_title(f'{title}\\nR = {R:.2f}', fontsize=12, fontweight='bold', \n", + " color=color, pad=15)\n", + " \n", + " # Add variance info\n", + " V = circular_variance(phases)\n", + " ax.text(0, 0.3, f'V = {V:.2f}', ha='center', fontsize=10, \n", + " transform=ax.transAxes)\n", + "\n", + "plt.suptitle('Visualization 6: Resultant Vector Length (R) Measures Phase Concentration', \n", + " fontsize=14, fontweight='bold', y=1.05)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Interpretation of R:\")\n", + "print(f\" High concentration: R = {R_high:.2f} → Phases cluster tightly\")\n", + "print(f\" Medium concentration: R = {R_med:.2f} → Some clustering\")\n", + "print(f\" Low concentration: R = {R_low:.2f} → Nearly uniform (no preferred direction)\")\n", + "print(\"\\n💡 When applied to phase differences, R becomes PLV!\")" + ] + }, + { + "cell_type": "markdown", + "id": "79538376", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 6. Visualizing Phase Distributions\n", + "\n", + "Phase data requires specialized visualization techniques because of its circular nature:\n", + "\n", + "1. **Linear histogram**: Simple but misleading at boundaries (phases near π and -π appear far apart)\n", + "2. **Polar histogram (rose plot)**: Natural circular representation\n", + "3. **Scatter on unit circle**: Shows individual phase values\n", + "4. **Mean vector overlay**: Shows preferred direction and concentration\n", + "\n", + "Let's create reusable plotting functions and compare these approaches." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "a9bd4c26", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ plot_phase_polar_histogram() and plot_phase_on_circle() defined\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# FUNCTIONS: Phase Visualization\n", + "# ============================================================================\n", + "\n", + "def plot_phase_polar_histogram(phases: NDArray[np.float64], \n", + " n_bins: int = 36,\n", + " ax: Optional[plt.Axes] = None,\n", + " color: str = COLORS[\"signal_1\"],\n", + " title: str = '') -> plt.Axes:\n", + " \"\"\"\n", + " Create a polar histogram (rose plot) of phase values.\n", + " \n", + " Parameters\n", + " ----------\n", + " phases : NDArray[np.float64]\n", + " Array of phase values in radians.\n", + " n_bins : int, optional\n", + " Number of angular bins (default: 36 = 10° bins).\n", + " ax : plt.Axes, optional\n", + " Matplotlib polar axes. If None, creates new figure.\n", + " color : str, optional\n", + " Color for the bars.\n", + " title : str, optional\n", + " Title for the plot.\n", + " \n", + " Returns\n", + " -------\n", + " plt.Axes\n", + " The matplotlib axes object.\n", + " \"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots(subplot_kw=dict(projection='polar'))\n", + " \n", + " # Create histogram\n", + " bins = np.linspace(-np.pi, np.pi, n_bins + 1)\n", + " counts, edges = np.histogram(phases, bins=bins)\n", + " \n", + " # Plot as bars\n", + " width = 2 * np.pi / n_bins\n", + " centers = (edges[:-1] + edges[1:]) / 2\n", + " ax.bar(centers, counts, width=width, color=color, alpha=0.7, edgecolor='white')\n", + " \n", + " ax.set_title(title, fontsize=11, fontweight='bold', pad=10)\n", + " return ax\n", + "\n", + "\n", + "def plot_phase_on_circle(phases: NDArray[np.float64],\n", + " ax: Optional[plt.Axes] = None,\n", + " show_mean: bool = True,\n", + " color: str = COLORS[\"signal_1\"],\n", + " title: str = '') -> plt.Axes:\n", + " \"\"\"\n", + " Plot phases as points on the unit circle.\n", + " \n", + " Parameters\n", + " ----------\n", + " phases : NDArray[np.float64]\n", + " Array of phase values in radians.\n", + " ax : plt.Axes, optional\n", + " Matplotlib axes. If None, creates new figure.\n", + " show_mean : bool, optional\n", + " Whether to show the mean vector (default: True).\n", + " color : str, optional\n", + " Color for the points.\n", + " title : str, optional\n", + " Title for the plot.\n", + " \n", + " Returns\n", + " -------\n", + " plt.Axes\n", + " The matplotlib axes object.\n", + " \"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots()\n", + " \n", + " # Draw unit circle\n", + " theta = np.linspace(0, 2 * np.pi, 100)\n", + " ax.plot(np.cos(theta), np.sin(theta), 'k-', linewidth=1, alpha=0.3)\n", + " ax.axhline(y=0, color='gray', linewidth=0.5, alpha=0.5)\n", + " ax.axvline(x=0, color='gray', linewidth=0.5, alpha=0.5)\n", + " \n", + " # Plot phases as points\n", + " x = np.cos(phases)\n", + " y = np.sin(phases)\n", + " ax.scatter(x, y, s=50, c=color, alpha=0.6, edgecolors='white', linewidths=0.5)\n", + " \n", + " if show_mean:\n", + " mean_x = np.mean(np.cos(phases))\n", + " mean_y = np.mean(np.sin(phases))\n", + " R = np.sqrt(mean_x**2 + mean_y**2)\n", + " ax.arrow(0, 0, mean_x * 0.95, mean_y * 0.95, \n", + " head_width=0.05, head_length=0.03, fc='black', ec='black', linewidth=2)\n", + " ax.text(0.05, -0.15, f'R = {R:.2f}', fontsize=10, transform=ax.transAxes)\n", + " \n", + " ax.set_xlim(-1.3, 1.3)\n", + " ax.set_ylim(-1.3, 1.3)\n", + " ax.set_aspect('equal')\n", + " ax.set_title(title, fontsize=11, fontweight='bold')\n", + " ax.grid(True, alpha=0.3)\n", + " \n", + " return ax\n", + "\n", + "\n", + "print(\"✓ plot_phase_polar_histogram() and plot_phase_on_circle() defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "ad67c932", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 Distribution Statistics:\n", + "------------------------------------------------------------\n", + "\n", + "Concentrated:\n", + " Circular Mean: 0.754 rad (43.2°)\n", + " Resultant Vector Length (R): 0.913\n", + " Circular Variance (V): 0.087\n", + "\n", + "Uniform:\n", + " Circular Mean: -1.783 rad (-102.2°)\n", + " Resultant Vector Length (R): 0.043\n", + " Circular Variance (V): 0.957\n", + "\n", + "Bimodal:\n", + " Circular Mean: -1.830 rad (-104.9°)\n", + " Resultant Vector Length (R): 0.027\n", + " Circular Variance (V): 0.973\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 7: Comparing Phase Visualization Methods\n", + "# ============================================================================\n", + "\n", + "# Create phase distributions with different concentrations\n", + "np.random.seed(42)\n", + "\n", + "# Concentrated distribution (von Mises with high kappa)\n", + "phases_concentrated = np.random.vonmises(mu=np.pi/4, kappa=5, size=200)\n", + "\n", + "# Uniform distribution\n", + "phases_uniform = np.random.uniform(-np.pi, np.pi, size=200)\n", + "\n", + "# Bimodal distribution\n", + "phases_bimodal = np.concatenate([\n", + " np.random.vonmises(mu=0, kappa=8, size=100),\n", + " np.random.vonmises(mu=np.pi, kappa=8, size=100)\n", + "])\n", + "\n", + "fig = plt.figure(figsize=(14, 10))\n", + "\n", + "# Row 1: Concentrated distribution\n", + "ax1 = fig.add_subplot(3, 3, 1)\n", + "ax1.hist(phases_concentrated, bins=36, color=COLORS[\"signal_1\"], alpha=0.7, edgecolor='white')\n", + "ax1.axvline(np.mean(phases_concentrated), color='red', linestyle='--', linewidth=2, label='Linear mean')\n", + "ax1.axvline(circular_mean(phases_concentrated), color='black', linestyle='-', linewidth=2, label='Circular mean')\n", + "ax1.set_xlabel('Phase (radians)')\n", + "ax1.set_ylabel('Count')\n", + "ax1.set_title('Concentrated - Linear Histogram', fontsize=10, fontweight='bold')\n", + "ax1.legend(fontsize=8)\n", + "ax1.set_xlim(-np.pi, np.pi)\n", + "\n", + "ax2 = fig.add_subplot(3, 3, 2, projection='polar')\n", + "plot_phase_polar_histogram(phases_concentrated, ax=ax2, color=COLORS[\"signal_1\"], \n", + " title='Concentrated - Polar Histogram')\n", + "\n", + "ax3 = fig.add_subplot(3, 3, 3)\n", + "plot_phase_on_circle(phases_concentrated, ax=ax3, color=COLORS[\"signal_1\"],\n", + " title='Concentrated - Unit Circle')\n", + "\n", + "# Row 2: Uniform distribution\n", + "ax4 = fig.add_subplot(3, 3, 4)\n", + "ax4.hist(phases_uniform, bins=36, color=COLORS[\"signal_2\"], alpha=0.7, edgecolor='white')\n", + "ax4.axvline(circular_mean(phases_uniform), color='black', linestyle='-', linewidth=2)\n", + "ax4.set_xlabel('Phase (radians)')\n", + "ax4.set_ylabel('Count')\n", + "ax4.set_title('Uniform - Linear Histogram', fontsize=10, fontweight='bold')\n", + "ax4.set_xlim(-np.pi, np.pi)\n", + "\n", + "ax5 = fig.add_subplot(3, 3, 5, projection='polar')\n", + "plot_phase_polar_histogram(phases_uniform, ax=ax5, color=COLORS[\"signal_2\"],\n", + " title='Uniform - Polar Histogram')\n", + "\n", + "ax6 = fig.add_subplot(3, 3, 6)\n", + "plot_phase_on_circle(phases_uniform, ax=ax6, color=COLORS[\"signal_2\"],\n", + " title='Uniform - Unit Circle')\n", + "\n", + "# Row 3: Bimodal distribution\n", + "ax7 = fig.add_subplot(3, 3, 7)\n", + "ax7.hist(phases_bimodal, bins=36, color=COLORS[\"signal_3\"], alpha=0.7, edgecolor='white')\n", + "ax7.axvline(circular_mean(phases_bimodal), color='black', linestyle='-', linewidth=2)\n", + "ax7.set_xlabel('Phase (radians)')\n", + "ax7.set_ylabel('Count')\n", + "ax7.set_title('Bimodal - Linear Histogram', fontsize=10, fontweight='bold')\n", + "ax7.set_xlim(-np.pi, np.pi)\n", + "\n", + "ax8 = fig.add_subplot(3, 3, 8, projection='polar')\n", + "plot_phase_polar_histogram(phases_bimodal, ax=ax8, color=COLORS[\"signal_3\"],\n", + " title='Bimodal - Polar Histogram')\n", + "\n", + "ax9 = fig.add_subplot(3, 3, 9)\n", + "plot_phase_on_circle(phases_bimodal, ax=ax9, color=COLORS[\"signal_3\"],\n", + " title='Bimodal - Unit Circle')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print statistics for each distribution\n", + "print(\"\\n📊 Distribution Statistics:\")\n", + "print(\"-\" * 60)\n", + "for name, phases, color in [(\"Concentrated\", phases_concentrated, \"signal_1\"),\n", + " (\"Uniform\", phases_uniform, \"signal_2\"),\n", + " (\"Bimodal\", phases_bimodal, \"signal_3\")]:\n", + " R = resultant_vector_length(phases)\n", + " V = circular_variance(phases)\n", + " mean_phase = circular_mean(phases)\n", + " print(f\"\\n{name}:\")\n", + " print(f\" Circular Mean: {mean_phase:.3f} rad ({np.degrees(mean_phase):.1f}°)\")\n", + " print(f\" Resultant Vector Length (R): {R:.3f}\")\n", + " print(f\" Circular Variance (V): {V:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "47b0aa90", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 7. Exercises\n", + "\n", + "### 🎯 Exercise 1: Linear vs Circular Mean\n", + "\n", + "**Task:** Demonstrate why circular statistics are essential for phase data.\n", + "\n", + "1. Create two phase values at -170° and +170° (convert to radians)\n", + "2. Calculate both the linear (arithmetic) mean and circular mean\n", + "3. Visualize the two phases and both means on a unit circle\n", + "4. Explain why the results differ\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Create phase values at -170° and +170°\n", + "phase1 = np.radians(-170) # -2.97 rad\n", + "phase2 = np.radians(170) # 2.97 rad\n", + "phases = np.array([phase1, phase2])\n", + "\n", + "# Calculate means\n", + "linear_mean = np.mean(phases)\n", + "circ_mean = circular_mean(phases)\n", + "\n", + "print(\"Two phases: -170° and +170°\")\n", + "print(f\"Linear (arithmetic) mean: {np.degrees(linear_mean):.1f}°\")\n", + "print(f\"Circular mean: {np.degrees(circ_mean):.1f}°\")\n", + "\n", + "# Visualize\n", + "fig, ax = plt.subplots(figsize=(8, 8))\n", + "\n", + "# Draw unit circle\n", + "theta = np.linspace(0, 2*np.pi, 100)\n", + "ax.plot(np.cos(theta), np.sin(theta), 'k-', linewidth=1, alpha=0.3)\n", + "ax.axhline(y=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "ax.axvline(x=0, color='gray', linewidth=0.5, alpha=0.5)\n", + "\n", + "# Plot phases\n", + "for i, (ph, label) in enumerate([(phase1, '-170°'), (phase2, '+170°')]):\n", + " ax.scatter(np.cos(ph), np.sin(ph), s=150, c=COLORS[\"signal_1\"], \n", + " edgecolors='black', linewidths=2, zorder=5)\n", + " ax.annotate(label, (np.cos(ph)*1.15, np.sin(ph)*1.15), fontsize=12, ha='center')\n", + "\n", + "# Plot linear mean (WRONG)\n", + "ax.arrow(0, 0, np.cos(linear_mean)*0.85, np.sin(linear_mean)*0.85,\n", + " head_width=0.05, head_length=0.03, fc='red', ec='red', linewidth=2)\n", + "ax.annotate(f'Linear: {np.degrees(linear_mean):.1f}°', \n", + " (np.cos(linear_mean)*1.1, np.sin(linear_mean)*1.1),\n", + " fontsize=10, color='red', fontweight='bold')\n", + "\n", + "# Plot circular mean (CORRECT)\n", + "ax.arrow(0, 0, np.cos(circ_mean)*0.85, np.sin(circ_mean)*0.85,\n", + " head_width=0.05, head_length=0.03, fc='green', ec='green', linewidth=2)\n", + "ax.annotate(f'Circular: {np.degrees(circ_mean):.1f}°', \n", + " (np.cos(circ_mean)*1.1, np.sin(circ_mean)*1.1),\n", + " fontsize=10, color='green', fontweight='bold')\n", + "\n", + "ax.set_xlim(-1.4, 1.4)\n", + "ax.set_ylim(-1.4, 1.4)\n", + "ax.set_aspect('equal')\n", + "ax.set_title('Linear vs Circular Mean\\n-170° and +170° are close on the circle!', \n", + " fontsize=12, fontweight='bold')\n", + "ax.grid(True, alpha=0.3)\n", + "plt.show()\n", + "\n", + "# Explanation\n", + "print(\"\\n📝 Explanation:\")\n", + "print(\"The linear mean gives 0°, which is on the OPPOSITE side of the circle!\")\n", + "print(\"The circular mean correctly identifies that -170° and +170° are close\")\n", + "print(\"and their average direction is around ±180° (the 6 o'clock position).\")\n", + "```\n", + "\n", + "
\n", + "\n", + "---\n", + "\n", + "### 🎯 Exercise 2: Concentration and Resultant Vector Length\n", + "\n", + "**Task:** Explore how phase concentration affects circular statistics.\n", + "\n", + "1. Generate three phase distributions using von Mises distribution:\n", + " - Low concentration: κ = 0.5\n", + " - Medium concentration: κ = 2\n", + " - High concentration: κ = 10\n", + "2. Calculate R (resultant vector length) and V (circular variance) for each\n", + "3. Create a visualization showing all three distributions\n", + "4. What is the relationship between κ and R?\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Generate distributions with different concentrations\n", + "np.random.seed(42)\n", + "n_samples = 500\n", + "mean_phase = np.pi/3 # 60°\n", + "\n", + "kappas = [0.5, 2, 10]\n", + "labels = ['Low (κ=0.5)', 'Medium (κ=2)', 'High (κ=10)']\n", + "colors_list = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"]]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 5), subplot_kw=dict(projection='polar'))\n", + "\n", + "print(\"📊 Concentration vs Circular Statistics:\")\n", + "print(\"-\" * 50)\n", + "\n", + "for ax, kappa, label, color in zip(axes, kappas, labels, colors_list):\n", + " # Generate phases\n", + " phases = np.random.vonmises(mu=mean_phase, kappa=kappa, size=n_samples)\n", + " \n", + " # Calculate statistics\n", + " R = resultant_vector_length(phases)\n", + " V = circular_variance(phases)\n", + " cm = circular_mean(phases)\n", + " \n", + " # Plot polar histogram\n", + " plot_phase_polar_histogram(phases, ax=ax, color=color, title=f'{label}\\nR={R:.3f}, V={V:.3f}')\n", + " \n", + " # Add mean direction arrow\n", + " ax.annotate('', xy=(cm, R * ax.get_ylim()[1]), xytext=(cm, 0),\n", + " arrowprops=dict(arrowstyle='->', color='black', lw=2))\n", + " \n", + " print(f\"\\n{label}:\")\n", + " print(f\" Resultant Vector Length (R): {R:.3f}\")\n", + " print(f\" Circular Variance (V): {V:.3f}\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Explanation\n", + "print(\"\\n📝 Relationship between κ and R:\")\n", + "print(\"• Higher κ → more concentrated distribution → higher R\")\n", + "print(\"• κ ≈ 0 gives uniform distribution (R ≈ 0)\")\n", + "print(\"• As κ → ∞, distribution becomes a point mass (R → 1)\")\n", + "print(\"\\nThis is why R is used as a synchronization measure:\")\n", + "print(\"High R means phases are tightly clustered (synchronized)\")\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "0bfe6ffc", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 8. Summary\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Description | Key Formula/Property |\n", + "|---------|-------------|---------------------|\n", + "| **Phase as circular variable** | Phase angles wrap around at ±π, representing points on unit circle | Range: [-π, π] or [0, 2π] |\n", + "| **Phase wrapping** | Constraining angles to standard interval | `np.angle(np.exp(1j * phase))` |\n", + "| **Phase unwrapping** | Removing artificial discontinuities | `np.unwrap(phase)` |\n", + "| **Circular mean** | Average direction using vector representation | $\\bar{\\theta} = \\arctan2(\\sum \\sin\\theta, \\sum \\cos\\theta)$ |\n", + "| **Resultant vector length (R)** | Measure of concentration, 0 (uniform) to 1 (identical) | $R = \\|\\frac{1}{n}\\sum e^{i\\theta}\\|$ |\n", + "| **Circular variance (V)** | Dispersion measure, 0 (concentrated) to 1 (uniform) | $V = 1 - R$ |\n", + "| **Circular std (s)** | Analog of standard deviation | $s = \\sqrt{-2\\ln(R)}$ |\n", + "\n", + "### Functions Reference\n", + "\n", + "```python\n", + "# Phase wrapping and unwrapping\n", + "wrapped = wrap_phase(phase) # Wrap to [-π, π]\n", + "unwrapped = unwrap_phase(phase) # Remove discontinuities\n", + "\n", + "# Circular statistics\n", + "mean_angle = circular_mean(phases) # Average direction\n", + "R = resultant_vector_length(phases) # Concentration (0 to 1)\n", + "V = circular_variance(phases) # Dispersion (0 to 1)\n", + "s = circular_std(phases) # Standard deviation\n", + "\n", + "# Visualization\n", + "plot_phase_polar_histogram(phases, n_bins, ax, color, title)\n", + "plot_phase_on_circle(phases, ax, show_mean, color, title)\n", + "```\n", + "\n", + "### Why This Matters for Connectivity\n", + "\n", + "| Circular Statistic | Connectivity Application |\n", + "|--------------------|-------------------------|\n", + "| **Circular mean** | Average phase relationship between signals |\n", + "| **Resultant vector length (R)** | Foundation of PLV (Phase Locking Value) |\n", + "| **Circular variance** | Measure of synchronization stability |\n", + "| **Phase visualization** | Understanding inter-brain coupling patterns |\n", + "\n", + "### ⚠️ Common Pitfalls\n", + "\n", + "1. **Using arithmetic mean on phases** → Can give completely wrong results\n", + "2. **Forgetting to wrap after operations** → Angles outside [-π, π]\n", + "3. **Interpreting R without context** → R depends on sample size\n", + "4. **Ignoring bimodal distributions** → Circular mean can be misleading" + ] + }, + { + "cell_type": "markdown", + "id": "1b4114d8", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 9. External Resources\n", + "\n", + "### 📚 Scientific References\n", + "\n", + "- **Fisher, N.I. (1993)** - *Statistical Analysis of Circular Data* - The definitive textbook on circular statistics\n", + "- **Mardia, K.V. & Jupp, P.E. (2000)** - *Directional Statistics* - Comprehensive mathematical treatment\n", + "- **Berens, P. (2009)** - *CircStat: A MATLAB Toolbox for Circular Statistics* - Practical implementation guide\n", + "\n", + "### 🎧 NotebookLM Resources\n", + "\n", + "- [📺 Video Overview](https://notebooklm.google.com/notebook/cb53f20f-a599-4681-8f6a-28a958412045?artifactId=a6291909-f06a-4d58-bcf8-b43d8e64f807) - Video overview of circular statistics concepts\n", + "- [📝 Quiz](https://notebooklm.google.com/notebook/cb53f20f-a599-4681-8f6a-28a958412045?artifactId=1fea7300-96d6-4927-b8b2-fa869923d329) - Test your understanding of circular statistics\n", + "- [🗂️ Flashcards](https://notebooklm.google.com/notebook/cb53f20f-a599-4681-8f6a-28a958412045?artifactId=701d29f6-dc10-41bb-935f-9a0e1d66a057) - Review key concepts\n", + "\n", + "### 🔗 Online Resources\n", + "\n", + "- [Wikipedia: Directional Statistics](https://en.wikipedia.org/wiki/Directional_statistics)\n", + "- [CircStat Python Package](https://github.com/circstat/pycircstat)\n", + "- [Scipy.stats.circmean documentation](https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.circmean.html)" + ] + }, + { + "cell_type": "markdown", + "id": "8fade0a9", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 10. Discussion Questions\n", + "\n", + "1. **Why can't we use standard statistics?** \n", + " Explain to a colleague why we can't simply use `np.mean()` and `np.std()` for phase data. Give a concrete example where linear statistics would fail.\n", + "\n", + "2. **R as a synchronization measure** \n", + " The resultant vector length R ranges from 0 to 1. In hyperscanning, what would R = 0.1 vs R = 0.9 mean for two participants' brain signals?\n", + "\n", + "3. **Bimodal phase distributions** \n", + " If two brain regions show a bimodal phase distribution (peaks at 0° and 180°), what might this tell us about their functional relationship? Is the circular mean meaningful in this case?\n", + "\n", + "4. **Sample size considerations** \n", + " A researcher finds R = 0.95 with 5 phase samples and R = 0.3 with 10,000 samples. Which result is more indicative of true synchronization? Why?\n", + "\n", + "5. **From circular statistics to PLV** \n", + " Based on what you learned about R (resultant vector length), how would you design a measure to quantify phase synchronization between two signals? What would you call the numerator and denominator?\n", + "\n", + "---\n", + "\n", + "**Next notebook:** [B02b: Phase Relationships](B02b_phase_relationships.ipynb) - Apply circular statistics to compare phases between two signals" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02a_circular_statistics_quick.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02a_circular_statistics_quick.ipynb new file mode 100644 index 0000000..379919f --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02a_circular_statistics_quick.ipynb @@ -0,0 +1,500 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "f65a17a6", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Why Circular Statistics?](#section-2-why-circular)\n", + "3. [Circular Mean and Resultant Vector Length](#section-3-circular-mean)\n", + "4. [Visualizing Phase Distributions](#section-4-visualization)\n", + "5. [Exercises](#section-5-exercises)\n", + "6. [Summary](#summary)\n", + "7. [External Resources](#external-resources)\n", + "8. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "86bac14c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumPy version: 2.3.5\n", + "Source path: /Users/remyramadour/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials/src\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parent.parent.parent / \"src\"\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from phase import (\n", + " wrap_phase,\n", + " unwrap_phase,\n", + " circular_mean,\n", + " resultant_vector_length,\n", + " circular_variance,\n", + " circular_std,\n", + " plot_phase_polar_histogram,\n", + " plot_phase_on_circle,\n", + ")\n", + "from colors import COLORS\n", + "\n", + "# Matplotlib configuration\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"figure.figsize\"] = (12, 5)\n", + "plt.rcParams[\"font.size\"] = 11\n", + "\n", + "print(f\"NumPy version: {np.__version__}\")\n", + "print(f\"Source path: {src_path}\")" + ] + }, + { + "cell_type": "markdown", + "id": "11c80697", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 1. Introduction\n", + "\n", + "Phase values are **circular** - they wrap around at ±π. This circular nature breaks standard (linear) statistics:\n", + "\n", + "| Problem | Linear Statistics | Circular Statistics |\n", + "|---------|------------------|--------------------|\n", + "| Mean of -170° and +170° | 0° ❌ | ±180° ✓ |\n", + "| Standard deviation | Can exceed 360° | Bounded [0, √2] |\n", + "| Distance metric | Ignores wrap | Respects circular nature |\n", + "\n", + "This notebook introduces the **circular statistics** needed for phase-based connectivity metrics like PLV." + ] + }, + { + "cell_type": "markdown", + "id": "9db00689", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 2. Why Circular Statistics?\n", + "\n", + "The key insight: phases are **unit vectors**, not numbers on a line." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "852e4aff", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Two phases: -170° and +170°\n", + "\n", + "Linear mean: 0.0° ❌ (wrong - opposite side!)\n", + "Circular mean: 180.0° ✓ (correct - between the phases)\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Demo: Linear vs Circular Mean\n", + "# =============================================================================\n", + "\n", + "# Two phases near the wrap point\n", + "phase1 = np.radians(-170) # Close to -π\n", + "phase2 = np.radians(170) # Close to +π\n", + "phases = np.array([phase1, phase2])\n", + "\n", + "# Calculate both means\n", + "linear_mean = np.mean(phases)\n", + "circ_mean = circular_mean(phases)\n", + "\n", + "print(\"Two phases: -170° and +170°\")\n", + "print(f\"\\nLinear mean: {np.degrees(linear_mean):.1f}° ❌ (wrong - opposite side!)\")\n", + "print(f\"Circular mean: {np.degrees(circ_mean):.1f}° ✓ (correct - between the phases)\")\n", + "\n", + "# Visualize on unit circle\n", + "fig, ax = plt.subplots(figsize=(8, 8))\n", + "\n", + "# Draw unit circle\n", + "theta = np.linspace(0, 2 * np.pi, 100)\n", + "ax.plot(np.cos(theta), np.sin(theta), 'k-', linewidth=1, alpha=0.3)\n", + "ax.axhline(y=0, color='gray', linewidth=0.5)\n", + "ax.axvline(x=0, color='gray', linewidth=0.5)\n", + "\n", + "# Plot phases\n", + "for ph, label in [(phase1, '-170°'), (phase2, '+170°')]:\n", + " ax.scatter(np.cos(ph), np.sin(ph), s=200, c=COLORS[\"signal_1\"], \n", + " edgecolors='black', linewidths=2, zorder=5)\n", + " ax.annotate(label, (np.cos(ph)*1.15, np.sin(ph)*1.15), fontsize=12, ha='center')\n", + "\n", + "# Plot linear mean (WRONG)\n", + "ax.arrow(0, 0, np.cos(linear_mean)*0.8, np.sin(linear_mean)*0.8,\n", + " head_width=0.06, head_length=0.04, fc='red', ec='red', linewidth=2)\n", + "ax.text(0.15, 0.1, f'Linear: {np.degrees(linear_mean):.0f}°', color='red', fontsize=11)\n", + "\n", + "# Plot circular mean (CORRECT)\n", + "ax.arrow(0, 0, np.cos(circ_mean)*0.8, np.sin(circ_mean)*0.8,\n", + " head_width=0.06, head_length=0.04, fc='green', ec='green', linewidth=2)\n", + "ax.text(-0.4, -0.95, f'Circular: {np.degrees(circ_mean):.0f}°', color='green', fontsize=11)\n", + "\n", + "ax.set_xlim(-1.4, 1.4)\n", + "ax.set_ylim(-1.4, 1.4)\n", + "ax.set_aspect('equal')\n", + "ax.set_title('Linear vs Circular Mean: Why Circular Statistics Matter', fontsize=14, fontweight='bold')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f4632454", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 3. Circular Mean and Resultant Vector Length\n", + "\n", + "### The Vector Averaging Method\n", + "\n", + "1. Convert each phase to a unit vector: $e^{i\\theta}$\n", + "2. Average the vectors: $\\bar{z} = \\frac{1}{N}\\sum e^{i\\theta_k}$\n", + "3. **Circular mean** = direction of $\\bar{z}$\n", + "4. **Resultant Vector Length (R)** = magnitude of $\\bar{z}$\n", + "\n", + "| R Value | Interpretation |\n", + "|---------|---------------|\n", + "| R = 1 | All phases identical |\n", + "| R ≈ 0.7-0.9 | Highly concentrated |\n", + "| R ≈ 0 | Uniformly distributed |" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "e9d4ce34", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 Key Insight: R measures how clustered phases are around their mean\n", + " This is EXACTLY what PLV measures for phase differences!\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# R for Different Phase Distributions\n", + "# =============================================================================\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Create distributions with different concentrations (von Mises)\n", + "distributions = [\n", + " ('High (κ=10)', np.random.vonmises(mu=np.pi/4, kappa=10, size=200)),\n", + " ('Medium (κ=2)', np.random.vonmises(mu=np.pi/4, kappa=2, size=200)),\n", + " ('Low (κ=0.5)', np.random.vonmises(mu=np.pi/4, kappa=0.5, size=200)),\n", + " ('Uniform', np.random.uniform(-np.pi, np.pi, size=200)),\n", + "]\n", + "\n", + "fig, axes = plt.subplots(1, 4, figsize=(16, 4), subplot_kw=dict(projection='polar'))\n", + "\n", + "for ax, (name, phases) in zip(axes, distributions):\n", + " R = resultant_vector_length(phases)\n", + " V = circular_variance(phases)\n", + " \n", + " plot_phase_polar_histogram(phases, ax=ax, color=COLORS[\"signal_1\"], n_bins=36)\n", + " ax.set_title(f'{name}\\nR = {R:.3f}', fontsize=11, fontweight='bold', pad=15)\n", + "\n", + "plt.tight_layout()\n", + "plt.suptitle('Resultant Vector Length (R) as Concentration Measure', fontsize=14, fontweight='bold', y=1.05)\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Key Insight: R measures how clustered phases are around their mean\")\n", + "print(\" This is EXACTLY what PLV measures for phase differences!\")" + ] + }, + { + "cell_type": "markdown", + "id": "9b289137", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 4. Visualizing Phase Distributions\n", + "\n", + "Three common visualization methods for circular data." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "79f8c871", + "metadata": {}, + "outputs": [ + { + "ename": "AttributeError", + "evalue": "'Axes' object has no attribute 'set_theta_zero_location'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mAttributeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[4]\u001b[39m\u001b[32m, line 26\u001b[39m\n\u001b[32m 24\u001b[39m \u001b[38;5;66;03m# Method 3: Unit circle\u001b[39;00m\n\u001b[32m 25\u001b[39m ax3 = fig.add_subplot(\u001b[32m1\u001b[39m, \u001b[32m3\u001b[39m, \u001b[32m3\u001b[39m)\n\u001b[32m---> \u001b[39m\u001b[32m26\u001b[39m \u001b[43mplot_phase_on_circle\u001b[49m\u001b[43m(\u001b[49m\u001b[43mphases\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43max\u001b[49m\u001b[43m=\u001b[49m\u001b[43max3\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcolor\u001b[49m\u001b[43m=\u001b[49m\u001b[43mCOLORS\u001b[49m\u001b[43m[\u001b[49m\u001b[33;43m\"\u001b[39;49m\u001b[33;43msignal_3\u001b[39;49m\u001b[33;43m\"\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mshow_mean\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n\u001b[32m 27\u001b[39m ax3.set_title(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mUnit Circle\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[33mR = \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mresultant_vector_length(phases)\u001b[38;5;132;01m:\u001b[39;00m\u001b[33m.3f\u001b[39m\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m'\u001b[39m, fontsize=\u001b[32m11\u001b[39m, fontweight=\u001b[33m'\u001b[39m\u001b[33mbold\u001b[39m\u001b[33m'\u001b[39m)\n\u001b[32m 29\u001b[39m plt.tight_layout()\n", + "\u001b[36mFile \u001b[39m\u001b[32m~/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials/src/phase.py:393\u001b[39m, in \u001b[36mplot_phase_on_circle\u001b[39m\u001b[34m(phases, ax, show_mean, color, mean_color, alpha, marker_size)\u001b[39m\n\u001b[32m 385\u001b[39m \u001b[38;5;66;03m# Draw mean vector\u001b[39;00m\n\u001b[32m 386\u001b[39m ax.annotate(\n\u001b[32m 387\u001b[39m \u001b[33m\"\u001b[39m\u001b[33m\"\u001b[39m,\n\u001b[32m 388\u001b[39m xy=(mean_angle, r),\n\u001b[32m 389\u001b[39m xytext=(\u001b[32m0\u001b[39m, \u001b[32m0\u001b[39m),\n\u001b[32m 390\u001b[39m arrowprops={\u001b[33m\"\u001b[39m\u001b[33marrowstyle\u001b[39m\u001b[33m\"\u001b[39m: \u001b[33m\"\u001b[39m\u001b[33m->\u001b[39m\u001b[33m\"\u001b[39m, \u001b[33m\"\u001b[39m\u001b[33mcolor\u001b[39m\u001b[33m\"\u001b[39m: mean_color, \u001b[33m\"\u001b[39m\u001b[33mlw\u001b[39m\u001b[33m\"\u001b[39m: \u001b[32m2\u001b[39m},\n\u001b[32m 391\u001b[39m )\n\u001b[32m--> \u001b[39m\u001b[32m393\u001b[39m \u001b[43max\u001b[49m\u001b[43m.\u001b[49m\u001b[43mset_theta_zero_location\u001b[49m(\u001b[33m\"\u001b[39m\u001b[33mE\u001b[39m\u001b[33m\"\u001b[39m)\n\u001b[32m 394\u001b[39m ax.set_theta_direction(\u001b[32m1\u001b[39m)\n\u001b[32m 395\u001b[39m ax.set_ylim(\u001b[32m0\u001b[39m, \u001b[32m1.2\u001b[39m)\n", + "\u001b[31mAttributeError\u001b[39m: 'Axes' object has no attribute 'set_theta_zero_location'" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Comparing Visualization Methods\n", + "# =============================================================================\n", + "\n", + "np.random.seed(42)\n", + "phases = np.random.vonmises(mu=np.pi/3, kappa=3, size=150)\n", + "\n", + "fig = plt.figure(figsize=(14, 5))\n", + "\n", + "# Method 1: Linear histogram\n", + "ax1 = fig.add_subplot(1, 3, 1)\n", + "ax1.hist(phases, bins=36, color=COLORS[\"signal_1\"], alpha=0.7, edgecolor='white')\n", + "ax1.axvline(circular_mean(phases), color='black', linestyle='--', linewidth=2)\n", + "ax1.set_xlabel('Phase (radians)')\n", + "ax1.set_ylabel('Count')\n", + "ax1.set_title('Linear Histogram\\n(hides circular nature)', fontsize=11, fontweight='bold')\n", + "ax1.set_xlim(-np.pi, np.pi)\n", + "\n", + "# Method 2: Polar histogram\n", + "ax2 = fig.add_subplot(1, 3, 2, projection='polar')\n", + "plot_phase_polar_histogram(phases, ax=ax2, color=COLORS[\"signal_2\"], n_bins=36)\n", + "ax2.set_title('Polar Histogram\\n(shows circular nature)', fontsize=11, fontweight='bold', pad=15)\n", + "\n", + "# Method 3: Unit circle\n", + "ax3 = fig.add_subplot(1, 3, 3)\n", + "plot_phase_on_circle(phases, ax=ax3, color=COLORS[\"signal_3\"], show_mean=True)\n", + "ax3.set_title(f'Unit Circle\\nR = {resultant_vector_length(phases):.3f}', fontsize=11, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "982d03f4", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 5. Exercises\n", + "\n", + "### 🎯 Exercise 1: Linear vs Circular Mean\n", + "\n", + "**Task:** Create phases at -160°, -170°, +170°, +160° and compare linear vs circular mean.\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "phases = np.radians([-160, -170, 170, 160])\n", + "print(f\"Linear mean: {np.degrees(np.mean(phases)):.1f}°\")\n", + "print(f\"Circular mean: {np.degrees(circular_mean(phases)):.1f}°\")\n", + "```\n", + "\n", + "
\n", + "\n", + "### 🎯 Exercise 2: R and Concentration\n", + "\n", + "**Task:** Generate phases with different κ values (0.1, 1, 5, 20) and plot R vs κ.\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "kappas = [0.1, 1, 5, 20]\n", + "Rs = [resultant_vector_length(np.random.vonmises(0, k, 500)) for k in kappas]\n", + "plt.plot(kappas, Rs, 'o-')\n", + "plt.xlabel('κ (concentration)')\n", + "plt.ylabel('R')\n", + "plt.show()\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "d0d3a0c4", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 6. Summary\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Formula | Range |\n", + "|---------|---------|-------|\n", + "| **Circular mean** | $\\bar{\\theta} = \\arctan2(\\sum\\sin\\theta, \\sum\\cos\\theta)$ | $[-\\pi, \\pi]$ |\n", + "| **Resultant Vector Length (R)** | $R = \\|\\frac{1}{n}\\sum e^{i\\theta}\\|$ | $[0, 1]$ |\n", + "| **Circular variance** | $V = 1 - R$ | $[0, 1]$ |\n", + "\n", + "### Functions from `src/phase.py`\n", + "\n", + "```python\n", + "from phase import (\n", + " wrap_phase, # Wrap to [-π, π]\n", + " unwrap_phase, # Remove discontinuities\n", + " circular_mean, # Average direction\n", + " resultant_vector_length, # Concentration (R)\n", + " circular_variance, # Dispersion (1 - R)\n", + " circular_std, # Circular standard deviation\n", + " plot_phase_polar_histogram,\n", + " plot_phase_on_circle,\n", + ")\n", + "```\n", + "\n", + "### Key Insight\n", + "\n", + "> **R applied to phase differences = PLV (Phase Locking Value)**" + ] + }, + { + "cell_type": "markdown", + "id": "0aaf29b6", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 7. External Resources\n", + "\n", + "### 📚 Scientific References\n", + "\n", + "- **Fisher, N.I. (1993)** - *Statistical Analysis of Circular Data*\n", + "- **Mardia, K.V. & Jupp, P.E. (2000)** - *Directional Statistics*\n", + "\n", + "### 🎧 NotebookLM Resources\n", + "\n", + "- [📺 Video Overview](https://notebooklm.google.com/notebook/cb53f20f-a599-4681-8f6a-28a958412045?artifactId=a6291909-f06a-4d58-bcf8-b43d8e64f807) - Video overview of circular statistics concepts\n", + "- [📝 Quiz](https://notebooklm.google.com/notebook/cb53f20f-a599-4681-8f6a-28a958412045?artifactId=1fea7300-96d6-4927-b8b2-fa869923d329) - Test your understanding of circular statistics\n", + "- [🗂️ Flashcards](https://notebooklm.google.com/notebook/cb53f20f-a599-4681-8f6a-28a958412045?artifactId=701d29f6-dc10-41bb-935f-9a0e1d66a057) - Review key concepts" + ] + }, + { + "cell_type": "markdown", + "id": "e9d4109a", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 8. Discussion Questions\n", + "\n", + "1. **Why can't we use `np.mean()` for phase?** Give a concrete example where it fails.\n", + "\n", + "2. **R as synchronization measure**: In hyperscanning, what would R = 0.1 vs R = 0.9 mean for two participants' brain signals?\n", + "\n", + "3. **From R to PLV**: Based on what you learned about R, how would you measure synchronization between two signals?\n", + "\n", + "---\n", + "\n", + "**Next:** [B02b: Phase Relationships](B02b_phase_relationships.ipynb)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02b_phase_relationships.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02b_phase_relationships.ipynb new file mode 100644 index 0000000..511b39d --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02b_phase_relationships.ipynb @@ -0,0 +1,1300 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "0e4999c2", + "metadata": {}, + "source": [ + "# B02b: Phase Relationships\n", + "\n", + "**Part 2 of 2** | ⏱️ **Duration:** 35-45 minutes\n", + "\n", + "## Prerequisites\n", + "- [B01: Hilbert Transform](../B01_hilbert_transform.ipynb) - Phase extraction\n", + "- [B02a: Circular Statistics](B02a_circular_statistics.ipynb) - Circular mean, variance, R\n", + "\n", + "## Learning Objectives\n", + "By the end of this notebook, you will be able to:\n", + "1. Calculate phase difference between two signals\n", + "2. Understand instantaneous vs average phase relationships\n", + "3. Visualize phase coupling patterns\n", + "4. Connect phase relationships to synchronization measures (PLV preview)" + ] + }, + { + "cell_type": "markdown", + "id": "60bda0e2", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Phase Difference Between Signals](#section-2-phase-difference)\n", + "3. [Instantaneous vs Average Phase Difference](#section-3-instantaneous-vs-average)\n", + "4. [Visualizing Phase Relationships](#section-4-visualizing-relationships)\n", + "5. [Phase Locking: A Preview](#section-5-phase-locking-preview)\n", + "6. [Application: Two Coupled Oscillators](#section-6-application)\n", + "7. [Exercises](#section-7-exercises)\n", + "8. [Summary](#section-8-summary)\n", + "9. [External Resources](#section-9-external-resources)\n", + "10. [Discussion Questions](#section-10-discussion)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "b18ee252", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ All imports successful\n", + "✓ Project root: /Users/remyramadour/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# IMPORTS\n", + "# ============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "from typing import Optional, Tuple\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "\n", + "# ============================================================================\n", + "# PATH SETUP\n", + "# ============================================================================\n", + "\n", + "# Add src/ to path for local imports\n", + "PROJECT_ROOT = Path.cwd().parents[2]\n", + "if str(PROJECT_ROOT / \"src\") not in sys.path:\n", + " sys.path.insert(0, str(PROJECT_ROOT / \"src\"))\n", + "\n", + "# ============================================================================\n", + "# LOCAL IMPORTS\n", + "# ============================================================================\n", + "\n", + "from colors import COLORS\n", + "\n", + "# ============================================================================\n", + "# MATPLOTLIB CONFIGURATION\n", + "# ============================================================================\n", + "\n", + "%matplotlib inline\n", + "plt.rcParams['figure.figsize'] = (12, 6)\n", + "plt.rcParams['font.size'] = 11\n", + "plt.rcParams['axes.grid'] = True\n", + "plt.rcParams['grid.alpha'] = 0.3\n", + "\n", + "print(\"✓ All imports successful\")\n", + "print(f\"✓ Project root: {PROJECT_ROOT}\")" + ] + }, + { + "cell_type": "markdown", + "id": "3abbd426", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 1. Introduction\n", + "\n", + "In [B02a](B02a_circular_statistics.ipynb), we learned how to work with phase values from a **single signal** using circular statistics. Now we take the crucial next step: comparing phases **between two signals**.\n", + "\n", + "### Why Phase Relationships Matter\n", + "\n", + "In hyperscanning and connectivity analysis, we're interested in how brain regions (or brains!) coordinate their activity. Phase relationships tell us:\n", + "\n", + "- **Are two regions oscillating together?** (in-phase = 0° difference)\n", + "- **Are they oscillating in opposition?** (anti-phase = 180° difference)\n", + "- **Is there a consistent lag?** (constant non-zero difference)\n", + "- **How stable is the relationship?** (variable difference = no coupling)\n", + "\n", + "### From Single Signal to Signal Pairs\n", + "\n", + "| B02a: Single Signal | B02b: Signal Pairs |\n", + "|---------------------|-------------------|\n", + "| Phase of one signal | Phase **difference** between two |\n", + "| Circular mean of phases | **Average** phase difference |\n", + "| R = concentration of phases | R = **consistency** of phase difference |\n", + "| \"How clustered are phases?\" | \"How coupled are the signals?\" |\n", + "\n", + "### The Key Insight\n", + "\n", + "> **The same circular statistics we learned for single signals can be applied to phase differences to quantify synchronization.**\n", + "\n", + "This is the foundation of **Phase Locking Value (PLV)**, which we'll explore in detail in [G01](../../02_connectivity_metrics/G_phase_based/G01_phase_locking_value.ipynb)." + ] + }, + { + "cell_type": "markdown", + "id": "0a25b6f5", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 2. Phase Difference Between Signals\n", + "\n", + "### Mathematical Definition\n", + "\n", + "Given two signals with phases $\\phi_1(t)$ and $\\phi_2(t)$, the **instantaneous phase difference** is:\n", + "\n", + "$$\\Delta\\phi(t) = \\phi_1(t) - \\phi_2(t)$$\n", + "\n", + "### Important: Wrapping the Difference\n", + "\n", + "Since we're subtracting two angles, the result must be wrapped to $[-\\pi, \\pi]$:\n", + "\n", + "$$\\Delta\\phi_{wrapped}(t) = \\arctan2(\\sin(\\Delta\\phi), \\cos(\\Delta\\phi))$$\n", + "\n", + "Or equivalently using complex exponentials:\n", + "\n", + "$$\\Delta\\phi_{wrapped}(t) = \\angle(e^{i\\phi_1} \\cdot e^{-i\\phi_2}) = \\angle(e^{i(\\phi_1 - \\phi_2)})$$\n", + "\n", + "### Interpretation of Phase Difference\n", + "\n", + "| Phase Difference | Interpretation |\n", + "|------------------|----------------|\n", + "| $\\Delta\\phi = 0$ | In-phase (synchronized peaks) |\n", + "| $\\Delta\\phi = \\pm\\pi$ | Anti-phase (opposite peaks) |\n", + "| $\\Delta\\phi = \\pi/2$ | Quadrature (90° lead) |\n", + "| $\\Delta\\phi = -\\pi/2$ | Quadrature (90° lag) |" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "92c3c052", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ phase_difference() and extract_phase() defined\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# FUNCTIONS: Phase Difference\n", + "# ============================================================================\n", + "\n", + "def phase_difference(phase1: NDArray[np.float64], \n", + " phase2: NDArray[np.float64]) -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Calculate wrapped phase difference between two phase time series.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase1 : NDArray[np.float64]\n", + " Phase of first signal in radians.\n", + " phase2 : NDArray[np.float64]\n", + " Phase of second signal in radians.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Wrapped phase difference in [-π, π].\n", + " \"\"\"\n", + " diff = phase1 - phase2\n", + " # Wrap to [-π, π] using complex exponential\n", + " return np.angle(np.exp(1j * diff))\n", + "\n", + "\n", + "def extract_phase(sig: NDArray[np.float64]) -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Extract instantaneous phase using Hilbert transform.\n", + " \n", + " Parameters\n", + " ----------\n", + " sig : NDArray[np.float64]\n", + " Input signal.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Instantaneous phase in radians [-π, π].\n", + " \"\"\"\n", + " analytic = signal.hilbert(sig)\n", + " return np.angle(analytic)\n", + "\n", + "\n", + "print(\"✓ phase_difference() and extract_phase() defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5f147cc0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 Key Observations:\n", + "• In-phase: Δφ ≈ 0 (peaks align)\n", + "• 45° lead: Δφ ≈ π/4 (signal 2 slightly ahead)\n", + "• Quadrature: Δφ ≈ π/2 (signal 2 at peak when signal 1 crosses zero)\n", + "• Anti-phase: Δφ ≈ π or -π (peaks opposite)\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 1: Phase Difference for Different Phase Relationships\n", + "# ============================================================================\n", + "\n", + "# Create time vector\n", + "fs = 500 # Sampling frequency\n", + "duration = 2 # seconds\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "freq = 10 # 10 Hz oscillation\n", + "\n", + "# Create signals with different phase relationships\n", + "phase_shifts = [0, np.pi/4, np.pi/2, np.pi]\n", + "shift_names = ['In-phase (0°)', '45° lead', 'Quadrature (90°)', 'Anti-phase (180°)']\n", + "\n", + "fig, axes = plt.subplots(4, 3, figsize=(14, 12))\n", + "\n", + "for i, (shift, name) in enumerate(zip(phase_shifts, shift_names)):\n", + " # Create two signals\n", + " signal1 = np.sin(2 * np.pi * freq * t)\n", + " signal2 = np.sin(2 * np.pi * freq * t + shift)\n", + " \n", + " # Extract phases\n", + " phase1 = extract_phase(signal1)\n", + " phase2 = extract_phase(signal2)\n", + " \n", + " # Calculate phase difference\n", + " diff = phase_difference(phase1, phase2)\n", + " \n", + " # Plot signals\n", + " axes[i, 0].plot(t[:100], signal1[:100], color=COLORS[\"signal_1\"], linewidth=2, label='Signal 1')\n", + " axes[i, 0].plot(t[:100], signal2[:100], color=COLORS[\"signal_2\"], linewidth=2, label='Signal 2')\n", + " axes[i, 0].set_ylabel(name, fontsize=10, fontweight='bold')\n", + " axes[i, 0].legend(loc='upper right', fontsize=8)\n", + " axes[i, 0].set_xlim(0, 0.2)\n", + " if i == 0:\n", + " axes[i, 0].set_title('Signals', fontsize=11, fontweight='bold')\n", + " if i == 3:\n", + " axes[i, 0].set_xlabel('Time (s)')\n", + " \n", + " # Plot phases\n", + " axes[i, 1].plot(t[:100], phase1[:100], color=COLORS[\"signal_1\"], linewidth=2)\n", + " axes[i, 1].plot(t[:100], phase2[:100], color=COLORS[\"signal_2\"], linewidth=2)\n", + " axes[i, 1].set_ylim(-np.pi - 0.3, np.pi + 0.3)\n", + " axes[i, 1].axhline(np.pi, color='gray', linestyle='--', alpha=0.5)\n", + " axes[i, 1].axhline(-np.pi, color='gray', linestyle='--', alpha=0.5)\n", + " if i == 0:\n", + " axes[i, 1].set_title('Instantaneous Phases', fontsize=11, fontweight='bold')\n", + " if i == 3:\n", + " axes[i, 1].set_xlabel('Time (s)')\n", + " \n", + " # Plot phase difference\n", + " axes[i, 2].plot(t[:100], diff[:100], color=COLORS[\"signal_3\"], linewidth=2)\n", + " axes[i, 2].axhline(np.mean(diff), color='black', linestyle='--', linewidth=2, \n", + " label=f'Mean: {np.degrees(np.mean(diff)):.1f}°')\n", + " axes[i, 2].set_ylim(-np.pi - 0.3, np.pi + 0.3)\n", + " axes[i, 2].legend(loc='upper right', fontsize=8)\n", + " if i == 0:\n", + " axes[i, 2].set_title('Phase Difference (Δφ)', fontsize=11, fontweight='bold')\n", + " if i == 3:\n", + " axes[i, 2].set_xlabel('Time (s)')\n", + "\n", + "plt.tight_layout()\n", + "plt.suptitle('Phase Difference for Different Phase Relationships', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Key Observations:\")\n", + "print(\"• In-phase: Δφ ≈ 0 (peaks align)\")\n", + "print(\"• 45° lead: Δφ ≈ π/4 (signal 2 slightly ahead)\")\n", + "print(\"• Quadrature: Δφ ≈ π/2 (signal 2 at peak when signal 1 crosses zero)\")\n", + "print(\"• Anti-phase: Δφ ≈ π or -π (peaks opposite)\")" + ] + }, + { + "cell_type": "markdown", + "id": "8944ec91", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 3. Instantaneous vs Average Phase Difference\n", + "\n", + "### Two Perspectives on Phase Relationships\n", + "\n", + "1. **Instantaneous phase difference** $\\Delta\\phi(t)$: The phase difference at each moment in time\n", + "2. **Average phase difference** $\\overline{\\Delta\\phi}$: The mean relationship over a time window\n", + "\n", + "### Why the Distinction Matters\n", + "\n", + "- **Instantaneous**: Shows moment-to-moment dynamics, useful for tracking changes\n", + "- **Average**: Summarizes the typical relationship, needed for connectivity metrics\n", + "\n", + "### Computing Average Phase Difference\n", + "\n", + "We use the **circular mean** from B02a:\n", + "\n", + "$$\\overline{\\Delta\\phi} = \\arctan2\\left(\\frac{1}{N}\\sum_{t=1}^{N}\\sin(\\Delta\\phi(t)), \\frac{1}{N}\\sum_{t=1}^{N}\\cos(\\Delta\\phi(t))\\right)$$\n", + "\n", + "### Consistency: The Key to Synchronization\n", + "\n", + "Two signals can have the same **average** phase difference but very different **consistency**:\n", + "\n", + "| Scenario | Average Δφ | Consistency (R) | Interpretation |\n", + "|----------|-----------|-----------------|----------------|\n", + "| Strong coupling | ~45° | 0.95 | Stable 45° relationship |\n", + "| Weak coupling | ~45° | 0.3 | Noisy, unreliable |\n", + "| No coupling | ~0° | 0.05 | Random, no relationship |" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "7a643feb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ circular_mean() and resultant_vector_length() defined\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# FUNCTIONS: Circular Statistics for Phase Difference\n", + "# ============================================================================\n", + "\n", + "def circular_mean(phases: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute circular mean of phase values.\n", + " \n", + " Parameters\n", + " ----------\n", + " phases : NDArray[np.float64]\n", + " Array of phase values in radians.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Circular mean in radians [-π, π].\n", + " \"\"\"\n", + " mean_x = np.mean(np.cos(phases))\n", + " mean_y = np.mean(np.sin(phases))\n", + " return np.arctan2(mean_y, mean_x)\n", + "\n", + "\n", + "def resultant_vector_length(phases: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute resultant vector length (R) - measure of concentration.\n", + " \n", + " Parameters\n", + " ----------\n", + " phases : NDArray[np.float64]\n", + " Array of phase values in radians.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " R value in [0, 1]. Higher = more concentrated.\n", + " \"\"\"\n", + " mean_x = np.mean(np.cos(phases))\n", + " mean_y = np.mean(np.sin(phases))\n", + " return np.sqrt(mean_x**2 + mean_y**2)\n", + "\n", + "\n", + "print(\"✓ circular_mean() and resultant_vector_length() defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "f06aa6c0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 Key Insight:\n", + "• R (consistency) is more important than average phase difference for synchronization\n", + "• High R = reliable coupling, Low R = no meaningful relationship\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 2: Consistent vs Inconsistent Phase Relationships\n", + "# ============================================================================\n", + "\n", + "np.random.seed(42)\n", + "fs = 500\n", + "duration = 5\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "freq = 10\n", + "\n", + "# Create reference signal\n", + "signal1 = np.sin(2 * np.pi * freq * t)\n", + "phase1 = extract_phase(signal1)\n", + "\n", + "# Scenario 1: Strong coupling (consistent 45° relationship)\n", + "phase_shift_strong = np.pi/4 + np.random.normal(0, 0.1, len(t)) # Small jitter\n", + "signal2_strong = np.sin(2 * np.pi * freq * t + np.pi/4) + 0.1 * np.random.randn(len(t))\n", + "\n", + "# Scenario 2: Weak coupling (noisy relationship)\n", + "phase_shift_weak = np.pi/4 + np.random.normal(0, 1.0, len(t)) # Large jitter\n", + "signal2_weak = np.sin(2 * np.pi * freq * t + np.cumsum(np.random.randn(len(t)) * 0.05))\n", + "\n", + "# Scenario 3: No coupling (random phases)\n", + "signal2_none = np.sin(2 * np.pi * freq * t + np.random.uniform(-np.pi, np.pi, len(t)))\n", + "\n", + "# Extract phases and compute differences\n", + "scenarios = [\n", + " ('Strong Coupling', signal2_strong),\n", + " ('Weak Coupling', signal2_weak),\n", + " ('No Coupling', signal2_none)\n", + "]\n", + "\n", + "fig, axes = plt.subplots(3, 3, figsize=(14, 10))\n", + "\n", + "for i, (name, sig2) in enumerate(scenarios):\n", + " phase2 = extract_phase(sig2)\n", + " diff = phase_difference(phase1, phase2)\n", + " \n", + " avg_diff = circular_mean(diff)\n", + " R = resultant_vector_length(diff)\n", + " \n", + " # Plot signals (first 0.5s)\n", + " idx = int(0.5 * fs)\n", + " axes[i, 0].plot(t[:idx], signal1[:idx], color=COLORS[\"signal_1\"], linewidth=2, label='Signal 1')\n", + " axes[i, 0].plot(t[:idx], sig2[:idx], color=COLORS[\"signal_2\"], linewidth=2, label='Signal 2')\n", + " axes[i, 0].set_ylabel(name, fontsize=11, fontweight='bold')\n", + " axes[i, 0].legend(fontsize=8)\n", + " if i == 0:\n", + " axes[i, 0].set_title('Signals', fontsize=11, fontweight='bold')\n", + " if i == 2:\n", + " axes[i, 0].set_xlabel('Time (s)')\n", + " \n", + " # Plot phase difference over time\n", + " axes[i, 1].plot(t, diff, color=COLORS[\"signal_3\"], linewidth=0.5, alpha=0.7)\n", + " axes[i, 1].axhline(avg_diff, color='black', linestyle='--', linewidth=2)\n", + " axes[i, 1].set_ylim(-np.pi - 0.3, np.pi + 0.3)\n", + " if i == 0:\n", + " axes[i, 1].set_title('Phase Difference Over Time', fontsize=11, fontweight='bold')\n", + " if i == 2:\n", + " axes[i, 1].set_xlabel('Time (s)')\n", + " \n", + " # Polar histogram of phase differences\n", + " ax_polar = fig.add_subplot(3, 3, 3 * i + 3, projection='polar')\n", + " bins = np.linspace(-np.pi, np.pi, 37)\n", + " counts, edges = np.histogram(diff, bins=bins)\n", + " width = 2 * np.pi / 36\n", + " centers = (edges[:-1] + edges[1:]) / 2\n", + " ax_polar.bar(centers, counts, width=width, color=COLORS[\"signal_3\"], alpha=0.7, edgecolor='white')\n", + " ax_polar.set_title(f'R = {R:.3f}\\nMean = {np.degrees(avg_diff):.1f}°', fontsize=10, fontweight='bold')\n", + " \n", + " # Remove the placeholder axis\n", + " axes[i, 2].axis('off')\n", + "\n", + "plt.tight_layout()\n", + "plt.suptitle('Consistency of Phase Relationships', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Key Insight:\")\n", + "print(\"• R (consistency) is more important than average phase difference for synchronization\")\n", + "print(\"• High R = reliable coupling, Low R = no meaningful relationship\")" + ] + }, + { + "cell_type": "markdown", + "id": "14d056d1", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 4. Visualizing Phase Relationships\n", + "\n", + "### Common Visualization Methods\n", + "\n", + "| Method | Shows | Best For |\n", + "|--------|-------|----------|\n", + "| **Phase-phase plot** | φ₁ vs φ₂ at each time point | Detecting phase locking patterns |\n", + "| **Phase difference histogram** | Distribution of Δφ | Quantifying coupling strength |\n", + "| **Relative phase on circle** | Δφ as points on unit circle | Intuitive view of consistency |\n", + "| **Time-varying phase difference** | Δφ(t) over time | Tracking dynamic coupling |\n", + "\n", + "### The Phase-Phase Plot\n", + "\n", + "A phase-phase plot shows $\\phi_1$ on x-axis and $\\phi_2$ on y-axis:\n", + "- **Diagonal line**: In-phase relationship\n", + "- **Parallel diagonal**: Constant phase lag\n", + "- **Scattered points**: No phase relationship\n", + "- **Multiple lines**: n:m phase locking" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "3225ac32", + "metadata": {}, + "outputs": [ + { + "data": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 Reading Phase-Phase Plots:\n", + "• Points along diagonal = in-phase\n", + "• Points along parallel line = constant lag\n", + "• Tight cluster = strong coupling (high R)\n", + "• Scattered points = weak/no coupling (low R)\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 3: Phase-Phase Plots for Different Coupling Scenarios\n", + "# ============================================================================\n", + "\n", + "np.random.seed(42)\n", + "fs = 500\n", + "duration = 3\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "freq = 10\n", + "\n", + "# Reference signal\n", + "signal1 = np.sin(2 * np.pi * freq * t)\n", + "phase1 = extract_phase(signal1)\n", + "\n", + "# Different coupling scenarios\n", + "fig, axes = plt.subplots(2, 3, figsize=(14, 9))\n", + "\n", + "scenarios = [\n", + " ('In-phase (Δφ = 0°)', 0, 0.05),\n", + " ('45° lag (Δφ = 45°)', np.pi/4, 0.05),\n", + " ('Anti-phase (Δφ = 180°)', np.pi, 0.05),\n", + " ('Strong coupling (low noise)', np.pi/3, 0.1),\n", + " ('Weak coupling (high noise)', np.pi/3, 0.8),\n", + " ('No coupling (random)', 0, None) # Special case\n", + "]\n", + "\n", + "for ax, (name, shift, noise) in zip(axes.flat, scenarios):\n", + " if noise is None:\n", + " # No coupling - random phase\n", + " signal2 = np.sin(2 * np.pi * freq * t + np.cumsum(np.random.randn(len(t)) * 0.3))\n", + " else:\n", + " # Add noise to phase\n", + " noisy_phase = 2 * np.pi * freq * t + shift + np.cumsum(np.random.randn(len(t)) * noise)\n", + " signal2 = np.sin(noisy_phase)\n", + " \n", + " phase2 = extract_phase(signal2)\n", + " diff = phase_difference(phase1, phase2)\n", + " R = resultant_vector_length(diff)\n", + " \n", + " # Phase-phase plot\n", + " ax.scatter(phase1[::5], phase2[::5], s=5, alpha=0.5, c=COLORS[\"signal_3\"])\n", + " ax.plot([-np.pi, np.pi], [-np.pi, np.pi], 'k--', alpha=0.3, label='In-phase line')\n", + " ax.set_xlim(-np.pi, np.pi)\n", + " ax.set_ylim(-np.pi, np.pi)\n", + " ax.set_xlabel('Phase 1 (rad)')\n", + " ax.set_ylabel('Phase 2 (rad)')\n", + " ax.set_title(f'{name}\\nR = {R:.3f}', fontsize=10, fontweight='bold')\n", + " ax.set_aspect('equal')\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.suptitle('Phase-Phase Plots: Visualizing Phase Relationships', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Reading Phase-Phase Plots:\")\n", + "print(\"• Points along diagonal = in-phase\")\n", + "print(\"• Points along parallel line = constant lag\")\n", + "print(\"• Tight cluster = strong coupling (high R)\")\n", + "print(\"• Scattered points = weak/no coupling (low R)\")" + ] + }, + { + "cell_type": "markdown", + "id": "92c4ac68", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 5. Phase Locking: A Preview\n", + "\n", + "### From R to PLV\n", + "\n", + "We've seen that **R** (resultant vector length) measures how consistently phase differences cluster around their mean. This is exactly the intuition behind the **Phase Locking Value (PLV)**!\n", + "\n", + "### PLV Definition\n", + "\n", + "$$PLV = \\left| \\frac{1}{N} \\sum_{t=1}^{N} e^{i\\Delta\\phi(t)} \\right| = R(\\Delta\\phi)$$\n", + "\n", + "The PLV is simply the **R value of the phase difference time series**:\n", + "- **PLV = 1**: Perfect phase locking (constant Δφ)\n", + "- **PLV = 0**: No phase locking (uniform Δφ distribution)\n", + "- **PLV ∈ (0,1)**: Partial phase locking\n", + "\n", + "### Why PLV Works\n", + "\n", + "| Property | Explanation |\n", + "|----------|-------------|\n", + "| **Ignores amplitude** | Only uses phase information |\n", + "| **Normalized** | Always between 0 and 1 |\n", + "| **Symmetric** | PLV(A,B) = PLV(B,A) |\n", + "| **Phase-difference agnostic** | Detects both in-phase and anti-phase coupling |" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "d052c5b3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ plv() defined\n", + "\n", + "📝 Note: This is a preview. Full PLV implementation in G01_phase_locking_value.ipynb\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# FUNCTION: Phase Locking Value (Preview)\n", + "# ============================================================================\n", + "\n", + "def plv(phase1: NDArray[np.float64], phase2: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute Phase Locking Value between two phase time series.\n", + " \n", + " PLV = |mean(exp(i * (phase1 - phase2)))|\n", + " \n", + " Parameters\n", + " ----------\n", + " phase1 : NDArray[np.float64]\n", + " Phase of first signal in radians.\n", + " phase2 : NDArray[np.float64]\n", + " Phase of second signal in radians.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " PLV value in [0, 1]. Higher = stronger phase locking.\n", + " \"\"\"\n", + " diff = phase1 - phase2\n", + " return np.abs(np.mean(np.exp(1j * diff)))\n", + "\n", + "\n", + "print(\"✓ plv() defined\")\n", + "print(\"\\n📝 Note: This is a preview. Full PLV implementation in G01_phase_locking_value.ipynb\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8c42f7f8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 Key Insight:\n", + "• PLV quantifies the consistency of phase relationships\n", + "• High noise → scattered phase differences → low PLV\n", + "• Low noise → concentrated phase differences → high PLV\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 4: PLV for Different Coupling Strengths\n", + "# ============================================================================\n", + "\n", + "np.random.seed(42)\n", + "fs = 500\n", + "duration = 5\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "freq = 10\n", + "\n", + "# Reference signal\n", + "signal1 = np.sin(2 * np.pi * freq * t)\n", + "phase1 = extract_phase(signal1)\n", + "\n", + "# Create signals with varying coupling strength\n", + "noise_levels = [0.01, 0.05, 0.1, 0.2, 0.5, 1.0]\n", + "plv_values = []\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(14, 8))\n", + "\n", + "for ax, noise in zip(axes.flat, noise_levels):\n", + " # Create coupled signal with noise\n", + " noisy_phase = 2 * np.pi * freq * t + np.pi/4 + np.cumsum(np.random.randn(len(t)) * noise)\n", + " signal2 = np.sin(noisy_phase)\n", + " phase2 = extract_phase(signal2)\n", + " \n", + " # Calculate PLV\n", + " plv_val = plv(phase1, phase2)\n", + " plv_values.append(plv_val)\n", + " \n", + " # Calculate phase difference\n", + " diff = phase_difference(phase1, phase2)\n", + " \n", + " # Polar histogram\n", + " bins = np.linspace(-np.pi, np.pi, 37)\n", + " counts, edges = np.histogram(diff, bins=bins)\n", + " width = 2 * np.pi / 36\n", + " centers = (edges[:-1] + edges[1:]) / 2\n", + " \n", + " ax_polar = fig.add_subplot(2, 3, list(axes.flat).index(ax) + 1, projection='polar')\n", + " ax_polar.bar(centers, counts, width=width, color=COLORS[\"signal_1\"], alpha=0.7, edgecolor='white')\n", + " ax_polar.set_title(f'Noise = {noise}\\nPLV = {plv_val:.3f}', fontsize=11, fontweight='bold')\n", + " ax.axis('off')\n", + "\n", + "plt.tight_layout()\n", + "plt.suptitle('Phase Locking Value vs Coupling Noise', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.show()\n", + "\n", + "# Plot PLV vs noise\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "ax.plot(noise_levels, plv_values, 'o-', color=COLORS[\"signal_1\"], linewidth=2, markersize=10)\n", + "ax.set_xlabel('Phase Noise Level', fontsize=12)\n", + "ax.set_ylabel('PLV', fontsize=12)\n", + "ax.set_title('PLV Decreases with Increasing Phase Noise', fontsize=14, fontweight='bold')\n", + "ax.set_ylim(0, 1.05)\n", + "ax.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Key Insight:\")\n", + "print(\"• PLV quantifies the consistency of phase relationships\")\n", + "print(\"• High noise → scattered phase differences → low PLV\")\n", + "print(\"• Low noise → concentrated phase differences → high PLV\")" + ] + }, + { + "cell_type": "markdown", + "id": "6d1eceaf", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 6. Application: Two Coupled Oscillators\n", + "\n", + "### A Hyperscanning Scenario\n", + "\n", + "Imagine two participants in a hyperscanning experiment:\n", + "- Both have alpha oscillations (~10 Hz) in frontal regions\n", + "- During a cooperative task, their brain rhythms may synchronize\n", + "- We want to detect and quantify this inter-brain coupling\n", + "\n", + "### Simulating Coupled Neural Oscillators\n", + "\n", + "We'll create a simple model where:\n", + "1. Two oscillators have the same frequency\n", + "2. A coupling parameter controls how much they influence each other\n", + "3. Noise represents biological variability" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "f7b77bd4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 Hyperscanning Interpretation:\n", + "• Resting: Independent oscillations → low PLV\n", + "• Simple task: Some coordination → moderate PLV\n", + "• Cooperative task: Strong coupling → high PLV\n", + "\n", + "This is exactly what we measure in real hyperscanning experiments!\n" + ] + } + ], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 5: Simulated Hyperscanning - Coupled Brain Oscillators\n", + "# ============================================================================\n", + "\n", + "np.random.seed(42)\n", + "fs = 500\n", + "duration = 10 # 10 seconds of \"recording\"\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "freq = 10 # Alpha frequency\n", + "\n", + "# Simulate three conditions:\n", + "# 1. Resting (no coupling)\n", + "# 2. Simple task (weak coupling) \n", + "# 3. Cooperative task (strong coupling)\n", + "\n", + "conditions = [\n", + " ('Resting (No Coupling)', 0.0),\n", + " ('Simple Task (Weak)', 0.3),\n", + " ('Cooperative Task (Strong)', 0.8)\n", + "]\n", + "\n", + "fig, axes = plt.subplots(3, 4, figsize=(16, 10))\n", + "\n", + "for i, (condition_name, coupling) in enumerate(conditions):\n", + " # Generate two oscillators with coupling\n", + " # Participant 1: reference oscillator\n", + " phase_drift_1 = np.cumsum(np.random.randn(len(t)) * 0.02)\n", + " signal_p1 = np.sin(2 * np.pi * freq * t + phase_drift_1)\n", + " \n", + " # Participant 2: coupled to participant 1\n", + " independent_drift = np.cumsum(np.random.randn(len(t)) * 0.02)\n", + " coupled_component = phase_drift_1 * coupling\n", + " phase_drift_2 = coupled_component + independent_drift * (1 - coupling)\n", + " signal_p2 = np.sin(2 * np.pi * freq * t + phase_drift_2 + np.pi/6) # Slight lag\n", + " \n", + " # Extract phases\n", + " phase_p1 = extract_phase(signal_p1)\n", + " phase_p2 = extract_phase(signal_p2)\n", + " diff = phase_difference(phase_p1, phase_p2)\n", + " \n", + " # Calculate PLV\n", + " plv_val = plv(phase_p1, phase_p2)\n", + " \n", + " # Plot 1: Signals (first 1 second)\n", + " idx = int(1 * fs)\n", + " axes[i, 0].plot(t[:idx], signal_p1[:idx], color=COLORS[\"signal_1\"], linewidth=1.5, label='Participant 1')\n", + " axes[i, 0].plot(t[:idx], signal_p2[:idx], color=COLORS[\"signal_2\"], linewidth=1.5, label='Participant 2')\n", + " axes[i, 0].set_ylabel(condition_name, fontsize=10, fontweight='bold')\n", + " axes[i, 0].legend(fontsize=8, loc='upper right')\n", + " if i == 0:\n", + " axes[i, 0].set_title('Signals (1s)', fontsize=11, fontweight='bold')\n", + " if i == 2:\n", + " axes[i, 0].set_xlabel('Time (s)')\n", + " \n", + " # Plot 2: Phase difference over time\n", + " axes[i, 1].plot(t, diff, color=COLORS[\"signal_3\"], linewidth=0.5, alpha=0.7)\n", + " axes[i, 1].axhline(circular_mean(diff), color='black', linestyle='--', linewidth=2)\n", + " axes[i, 1].set_ylim(-np.pi - 0.3, np.pi + 0.3)\n", + " if i == 0:\n", + " axes[i, 1].set_title('Phase Difference', fontsize=11, fontweight='bold')\n", + " if i == 2:\n", + " axes[i, 1].set_xlabel('Time (s)')\n", + " \n", + " # Plot 3: Polar histogram\n", + " ax_polar = fig.add_subplot(3, 4, 4*i + 3, projection='polar')\n", + " bins = np.linspace(-np.pi, np.pi, 37)\n", + " counts, edges = np.histogram(diff, bins=bins)\n", + " width = 2 * np.pi / 36\n", + " centers = (edges[:-1] + edges[1:]) / 2\n", + " ax_polar.bar(centers, counts, width=width, color=COLORS[\"signal_3\"], alpha=0.7, edgecolor='white')\n", + " ax_polar.set_title(f'PLV = {plv_val:.3f}', fontsize=10, fontweight='bold')\n", + " axes[i, 2].axis('off')\n", + " \n", + " # Plot 4: Phase-phase plot\n", + " axes[i, 3].scatter(phase_p1[::10], phase_p2[::10], s=3, alpha=0.5, c=COLORS[\"signal_3\"])\n", + " axes[i, 3].plot([-np.pi, np.pi], [-np.pi, np.pi], 'k--', alpha=0.3)\n", + " axes[i, 3].set_xlim(-np.pi, np.pi)\n", + " axes[i, 3].set_ylim(-np.pi, np.pi)\n", + " axes[i, 3].set_aspect('equal')\n", + " if i == 0:\n", + " axes[i, 3].set_title('Phase-Phase Plot', fontsize=11, fontweight='bold')\n", + " if i == 2:\n", + " axes[i, 3].set_xlabel('Phase P1')\n", + " axes[i, 3].set_ylabel('Phase P2')\n", + "\n", + "plt.tight_layout()\n", + "plt.suptitle('Simulated Inter-Brain Coupling During Different Tasks', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Hyperscanning Interpretation:\")\n", + "print(\"• Resting: Independent oscillations → low PLV\")\n", + "print(\"• Simple task: Some coordination → moderate PLV\")\n", + "print(\"• Cooperative task: Strong coupling → high PLV\")\n", + "print(\"\\nThis is exactly what we measure in real hyperscanning experiments!\")" + ] + }, + { + "cell_type": "markdown", + "id": "919387a5", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 7. Exercises\n", + "\n", + "### 🎯 Exercise 1: Phase Difference Interpretation\n", + "\n", + "**Task:** Given two signals, calculate and interpret their phase relationship.\n", + "\n", + "1. Create two 10 Hz signals with a 90° phase difference\n", + "2. Extract phases and compute phase difference\n", + "3. Calculate PLV and circular mean of phase difference\n", + "4. What type of relationship does this represent?\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Create signals with 90° phase difference\n", + "fs = 500\n", + "duration = 2\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "\n", + "signal1 = np.sin(2 * np.pi * 10 * t)\n", + "signal2 = np.sin(2 * np.pi * 10 * t + np.pi/2) # 90° = π/2\n", + "\n", + "# Extract phases\n", + "phase1 = extract_phase(signal1)\n", + "phase2 = extract_phase(signal2)\n", + "\n", + "# Compute phase difference\n", + "diff = phase_difference(phase1, phase2)\n", + "\n", + "# Calculate statistics\n", + "mean_diff = circular_mean(diff)\n", + "plv_val = plv(phase1, phase2)\n", + "\n", + "print(f\"Mean phase difference: {np.degrees(mean_diff):.1f}°\")\n", + "print(f\"PLV: {plv_val:.3f}\")\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n", + "\n", + "# Signals\n", + "axes[0].plot(t[:100], signal1[:100], color=COLORS[\"signal_1\"], label='Signal 1')\n", + "axes[0].plot(t[:100], signal2[:100], color=COLORS[\"signal_2\"], label='Signal 2')\n", + "axes[0].set_xlabel('Time (s)')\n", + "axes[0].set_title('Signals in Quadrature (90° apart)')\n", + "axes[0].legend()\n", + "\n", + "# Phase difference histogram\n", + "axes[1].hist(diff, bins=36, color=COLORS[\"signal_3\"], alpha=0.7, edgecolor='white')\n", + "axes[1].axvline(mean_diff, color='black', linestyle='--', linewidth=2)\n", + "axes[1].set_xlabel('Phase difference (rad)')\n", + "axes[1].set_title(f'Phase Difference Distribution\\nPLV = {plv_val:.3f}')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📝 Interpretation:\")\n", + "print(\"• 90° phase difference = quadrature relationship\")\n", + "print(\"• Signal 2 peaks when Signal 1 crosses zero\")\n", + "print(\"• PLV ≈ 1 indicates perfect phase locking\")\n", + "print(\"• This is common between sine and cosine components\")\n", + "```\n", + "\n", + "
\n", + "\n", + "---\n", + "\n", + "### 🎯 Exercise 2: Detecting Coupling Changes\n", + "\n", + "**Task:** Simulate a scenario where coupling changes over time and detect it.\n", + "\n", + "1. Create a 10-second signal where coupling increases at t=5s\n", + "2. Compute time-varying PLV using 1-second sliding windows\n", + "3. Plot PLV over time\n", + "4. Can you detect when coupling changed?\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "np.random.seed(42)\n", + "fs = 500\n", + "duration = 10\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "\n", + "# Reference signal\n", + "signal1 = np.sin(2 * np.pi * 10 * t + np.cumsum(np.random.randn(len(t)) * 0.01))\n", + "\n", + "# Signal 2: weak coupling first 5s, strong coupling after\n", + "coupling = np.where(t < 5, 0.1, 0.9) # Step change at t=5s\n", + "phase_noise = np.cumsum(np.random.randn(len(t)) * 0.05)\n", + "signal2 = np.sin(2 * np.pi * 10 * t + phase_noise * (1 - coupling))\n", + "\n", + "# Extract phases\n", + "phase1 = extract_phase(signal1)\n", + "phase2 = extract_phase(signal2)\n", + "\n", + "# Compute time-varying PLV (1-second windows)\n", + "window_size = int(1 * fs) # 1 second\n", + "step_size = int(0.1 * fs) # 100 ms step\n", + "plv_times = []\n", + "plv_values = []\n", + "\n", + "for start in range(0, len(t) - window_size, step_size):\n", + " end = start + window_size\n", + " window_plv = plv(phase1[start:end], phase2[start:end])\n", + " plv_times.append(t[start + window_size // 2])\n", + " plv_values.append(window_plv)\n", + "\n", + "# Plot results\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Signals\n", + "axes[0].plot(t, signal1, color=COLORS[\"signal_1\"], alpha=0.7, label='Signal 1')\n", + "axes[0].plot(t, signal2, color=COLORS[\"signal_2\"], alpha=0.7, label='Signal 2')\n", + "axes[0].axvline(5, color='red', linestyle='--', linewidth=2, label='Coupling change')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Two Signals with Coupling Change at t=5s')\n", + "axes[0].legend()\n", + "\n", + "# Phase difference\n", + "diff = phase_difference(phase1, phase2)\n", + "axes[1].plot(t, diff, color=COLORS[\"signal_3\"], alpha=0.5)\n", + "axes[1].axvline(5, color='red', linestyle='--', linewidth=2)\n", + "axes[1].set_ylabel('Phase diff (rad)')\n", + "axes[1].set_title('Instantaneous Phase Difference')\n", + "\n", + "# Time-varying PLV\n", + "axes[2].plot(plv_times, plv_values, color=COLORS[\"signal_1\"], linewidth=2)\n", + "axes[2].axvline(5, color='red', linestyle='--', linewidth=2, label='True change')\n", + "axes[2].axhline(0.5, color='gray', linestyle=':', alpha=0.5)\n", + "axes[2].set_xlabel('Time (s)')\n", + "axes[2].set_ylabel('PLV')\n", + "axes[2].set_title('Time-Varying PLV (1s windows)')\n", + "axes[2].set_ylim(0, 1)\n", + "axes[2].legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📝 Interpretation:\")\n", + "print(\"• Before t=5s: Low PLV (weak coupling)\")\n", + "print(\"• After t=5s: High PLV (strong coupling)\")\n", + "print(\"• Time-varying PLV reveals dynamic changes in synchronization\")\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "3358957f", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 8. Summary\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Description | Key Formula |\n", + "|---------|-------------|-------------|\n", + "| **Phase difference** | Δφ = φ₁ - φ₂, wrapped to [-π, π] | `np.angle(np.exp(1j * (phase1 - phase2)))` |\n", + "| **Average phase difference** | Circular mean of Δφ | `arctan2(mean(sin(Δφ)), mean(cos(Δφ)))` |\n", + "| **Phase Locking Value (PLV)** | Consistency of phase difference | `|mean(exp(i·Δφ))|` |\n", + "| **Phase-phase plot** | φ₁ vs φ₂ visualization | Diagonal = in-phase |\n", + "\n", + "### Functions Reference\n", + "\n", + "```python\n", + "# Phase difference\n", + "diff = phase_difference(phase1, phase2) # Wrapped to [-π, π]\n", + "\n", + "# Circular statistics on phase difference\n", + "avg_diff = circular_mean(diff) # Average relationship\n", + "R = resultant_vector_length(diff) # Consistency = PLV\n", + "\n", + "# Phase Locking Value\n", + "plv_value = plv(phase1, phase2) # Equivalent to R of phase difference\n", + "```\n", + "\n", + "### Connecting to Connectivity Metrics\n", + "\n", + "| This Notebook | Full Metric (Part 2) |\n", + "|---------------|---------------------|\n", + "| PLV preview | [G01: Phase Locking Value](../../02_connectivity_metrics/G_phase_based/G01_phase_locking_value.ipynb) |\n", + "| Phase difference | [G02: Phase Lag Index](../../02_connectivity_metrics/G_phase_based/G02_phase_lag_index.ipynb) |\n", + "| Consistency measure | [G03: wPLI](../../02_connectivity_metrics/G_phase_based/G03_weighted_phase_lag_index.ipynb) |\n", + "\n", + "### ⚠️ Common Pitfalls\n", + "\n", + "1. **Forgetting to wrap** phase difference → values outside [-π, π]\n", + "2. **Confusing PLV with correlation** → PLV ignores amplitude\n", + "3. **Not filtering first** → PLV is frequency-specific (filter to band of interest)\n", + "4. **Sample size bias** → PLV can be inflated with few samples" + ] + }, + { + "cell_type": "markdown", + "id": "69b8356f", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 9. External Resources\n", + "\n", + "### 📚 Scientific References\n", + "\n", + "- **Lachaux et al. (1999)** - *Measuring phase synchrony in brain signals* - Original PLV paper\n", + "- **Pikovsky et al. (2001)** - *Synchronization: A Universal Concept in Nonlinear Sciences* - Theoretical foundations\n", + "- **Vinck et al. (2011)** - *An improved index of phase-synchronization* - PLI and wPLI\n", + "\n", + "### 🎧 NotebookLM Resources\n", + "\n", + "- [📺 Video Overview](https://notebooklm.google.com/notebook/d4d31cd1-619f-4df5-825c-2a038cabe293?artifactId=c94ced23-51f9-4815-aedb-6846967a4fe8) - Video overview of phase relationships concepts\n", + "- [📝 Quiz](https://notebooklm.google.com/notebook/d4d31cd1-619f-4df5-825c-2a038cabe293?artifactId=8cdfcc8f-9aec-4ac6-a2c2-a92de5d69c08) - Test your understanding of phase synchronization\n", + "- [🗂️ Flashcards](https://notebooklm.google.com/notebook/d4d31cd1-619f-4df5-825c-2a038cabe293?artifactId=e2bafda8-4b67-475a-949f-e54d43c4ad1f) - Review key concepts\n", + "\n", + "### 🔗 Online Resources\n", + "\n", + "- [Scholarpedia: Phase Synchronization](http://www.scholarpedia.org/article/Phase_synchronization)\n", + "- [MNE-Python: Connectivity Analysis](https://mne.tools/stable/auto_tutorials/connectivity/index.html)" + ] + }, + { + "cell_type": "markdown", + "id": "5be7eecc", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 10. Discussion Questions\n", + "\n", + "1. **In-phase vs Anti-phase** \n", + " Two brain regions show PLV = 0.9 with an average phase difference of 180°. Are they coupled? What might this anti-phase relationship mean functionally?\n", + "\n", + "2. **PLV limitations** \n", + " A researcher finds PLV = 0.8 between frontal and occipital regions. What additional checks should they perform before concluding these regions are functionally coupled?\n", + "\n", + "3. **Frequency matters** \n", + " Why is it important to filter signals to a specific frequency band before computing PLV? What would happen if you computed PLV on broadband (unfiltered) signals?\n", + "\n", + "4. **Time resolution trade-off** \n", + " In Exercise 2, we used 1-second windows for time-varying PLV. How would shorter (0.2s) or longer (3s) windows change the results? What's the trade-off?\n", + "\n", + "5. **From PLV to hyperscanning** \n", + " In a hyperscanning experiment, you find PLV = 0.6 between two participants during cooperation. How would you determine if this value is statistically significant?\n", + "\n", + "---\n", + "\n", + "**Series complete!** You now understand how to work with phase:\n", + "- [B02a](B02a_circular_statistics.ipynb): Circular statistics for single signals\n", + "- [B02b](B02b_phase_relationships.ipynb): Phase relationships between signals (this notebook)\n", + "\n", + "**Next:** [B03: Amplitude Envelope](B03_amplitude_envelope.ipynb) or jump to [G01: Phase Locking Value](../../02_connectivity_metrics/G_phase_based/G01_phase_locking_value.ipynb) for the full PLV implementation." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} \ No newline at end of file diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02b_phase_relationships_quick.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02b_phase_relationships_quick.ipynb new file mode 100644 index 0000000..ca39ee5 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B02b_phase_relationships_quick.ipynb @@ -0,0 +1,615 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# B02b: Phase Relationships (Quick Version)\n", + "\n", + "**Duration**: ~25 minutes \n", + "**Prerequisites**: B01, B02a\n", + "\n", + "> 💡 **Quick Version**: This notebook imports pre-built functions from `src/phase.py` instead of defining them inline. For the full tutorial with step-by-step implementations, see [B02b_phase_relationships.ipynb](B02b_phase_relationships.ipynb).\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "- Calculate phase difference between two signals\n", + "- Understand instantaneous vs average phase relationships\n", + "- Visualize phase coupling patterns\n", + "- Connect phase relationships to synchronization measures (PLV preview)\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Table of Contents\n", + "\n", + "1. [Introduction](#section-1-introduction)\n", + "2. [Phase Difference](#section-2-phase-difference)\n", + "3. [Phase Locking Value Preview](#section-3-plv-preview)\n", + "4. [Application: Coupled Oscillators](#section-4-application)\n", + "5. [Exercises](#section-5-exercises)\n", + "6. [Summary](#summary)\n", + "7. [External Resources](#external-resources)\n", + "8. [Discussion Questions](#discussion-questions)\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NumPy version: 2.3.5\n", + "Source path: /Users/remyramadour/Workspace/PPSP/Workshops/ConnectivityMetricsTutorials/src\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Imports\n", + "# =============================================================================\n", + "\n", + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Local imports\n", + "src_path = Path.cwd().parent.parent.parent / \"src\"\n", + "if str(src_path) not in sys.path:\n", + " sys.path.insert(0, str(src_path))\n", + "\n", + "from phase import (\n", + " compute_phase_difference,\n", + " circular_mean,\n", + " resultant_vector_length,\n", + " compute_plv_simple,\n", + " plot_phase_polar_histogram\n", + ")\n", + "from hilbert import compute_instantaneous_phase\n", + "from filtering import bandpass_filter\n", + "from colors import COLORS\n", + "\n", + "# Matplotlib configuration\n", + "plt.rcParams[\"figure.dpi\"] = 100\n", + "plt.rcParams[\"figure.figsize\"] = (12, 5)\n", + "plt.rcParams[\"font.size\"] = 11\n", + "\n", + "print(f\"NumPy version: {np.__version__}\")\n", + "print(f\"Source path: {src_path}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 1. Introduction\n", + "\n", + "In [B02a](B02a_circular_statistics.ipynb), we learned to analyze the phase of a **single signal**. Now we'll study **phase relationships between two signals**.\n", + "\n", + "**Why phase relationships matter:**\n", + "- **Functional connectivity**: Brain regions working together show consistent phase relationships\n", + "- **Hyperscanning**: Phase synchrony between people indicates social coordination\n", + "- **Beyond correlation**: Phase locking can occur even when amplitudes vary independently\n", + "\n", + "**Key concepts:**\n", + "- **Phase difference** Δφ(t) = φ₂(t) - φ₁(t)\n", + "- **Consistency**: If Δφ is constant, signals are locked\n", + "- **PLV**: Measures how consistent the phase difference is over time" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 2. Phase Difference Between Signals\n", + "\n", + "The **phase difference** between two signals:\n", + "\n", + "$$\\Delta\\phi(t) = \\phi_2(t) - \\phi_1(t)$$\n", + "\n", + "Must be wrapped to [-π, π] to handle circularity." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "In-phase (0°): mean Δφ = 0.0°\n", + "Quadrature (90°): mean Δφ = -90.0°\n", + "Anti-phase (180°): mean Δφ = 180.0°\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 2: Phase Difference\n", + "# =============================================================================\n", + "\n", + "# Create signals\n", + "fs = 250 # Hz\n", + "duration = 2 # seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "freq = 10 # Hz\n", + "\n", + "# Two signals with known phase relationships\n", + "signal1 = np.sin(2 * np.pi * freq * t)\n", + "signal2_inphase = np.sin(2 * np.pi * freq * t) # 0° difference\n", + "signal2_quadrature = np.sin(2 * np.pi * freq * t + np.pi/2) # 90° difference\n", + "signal2_antiphase = np.sin(2 * np.pi * freq * t + np.pi) # 180° difference\n", + "\n", + "# Extract phases\n", + "phase1 = compute_instantaneous_phase(signal1)\n", + "phase2_inphase = compute_instantaneous_phase(signal2_inphase)\n", + "phase2_quadrature = compute_instantaneous_phase(signal2_quadrature)\n", + "phase2_antiphase = compute_instantaneous_phase(signal2_antiphase)\n", + "\n", + "# Compute phase differences\n", + "diff_inphase = compute_phase_difference(phase1, phase2_inphase)\n", + "diff_quadrature = compute_phase_difference(phase1, phase2_quadrature)\n", + "diff_antiphase = compute_phase_difference(phase1, phase2_antiphase)\n", + "\n", + "# Print averages\n", + "print(f\"In-phase (0°): mean Δφ = {np.degrees(circular_mean(diff_inphase)):.1f}°\")\n", + "print(f\"Quadrature (90°): mean Δφ = {np.degrees(circular_mean(diff_quadrature)):.1f}°\")\n", + "print(f\"Anti-phase (180°): mean Δφ = {np.degrees(circular_mean(diff_antiphase)):.1f}°\")" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Visualize phase differences\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "scenarios = [\n", + " (\"In-phase (0°)\", signal2_inphase, diff_inphase),\n", + " (\"Quadrature (90°)\", signal2_quadrature, diff_quadrature),\n", + " (\"Anti-phase (180°)\", signal2_antiphase, diff_antiphase)\n", + "]\n", + "\n", + "for ax, (name, sig2, diff) in zip(axes, scenarios):\n", + " ax.plot(t[:100], signal1[:100], color=COLORS[\"signal_1\"], label=\"Signal 1\", linewidth=2)\n", + " ax.plot(t[:100], sig2[:100], color=COLORS[\"signal_2\"], label=\"Signal 2\", linewidth=2, alpha=0.8)\n", + " ax.set_xlabel(\"Time (s)\")\n", + " ax.set_ylabel(\"Amplitude\")\n", + " ax.set_title(f\"{name}\\nR = {resultant_vector_length(diff):.2f}\")\n", + " ax.legend(loc=\"upper right\")\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 3. Phase Locking Value (PLV) Preview\n", + "\n", + "The **PLV** quantifies phase relationship consistency:\n", + "\n", + "$$PLV = \\left| \\frac{1}{N} \\sum_{t=1}^{N} e^{i\\Delta\\phi(t)} \\right| = R$$\n", + "\n", + "- **PLV = 1**: Perfect phase locking (constant Δφ)\n", + "- **PLV = 0**: No consistent relationship (random Δφ)\n", + "- **Interpretation**: PLV is the resultant vector length of phase differences!" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "PLV decreases as phase noise increases:\n", + " Noise = 0: PLV = 1.000\n", + " Noise = 0.5: PLV = 0.879\n", + " Noise = 1.0: PLV = 0.631\n", + " Noise = 2.0: PLV = 0.250\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Section 3: PLV with varying noise\n", + "# =============================================================================\n", + "\n", + "# Generate signals with different coupling strengths\n", + "phase_shift = np.pi / 4 # Base phase difference\n", + "noise_levels = [0, 0.5, 1.0, 2.0]\n", + "plv_values = []\n", + "\n", + "fig, axes = plt.subplots(2, 4, figsize=(16, 8))\n", + "\n", + "for idx, noise in enumerate(noise_levels):\n", + " # Create signals with phase noise\n", + " signal1 = np.sin(2 * np.pi * freq * t)\n", + " noisy_phase = phase_shift + noise * np.random.randn(len(t))\n", + " signal2 = np.sin(2 * np.pi * freq * t + noisy_phase)\n", + " \n", + " # Extract phases and compute difference\n", + " phase1 = compute_instantaneous_phase(signal1)\n", + " phase2 = compute_instantaneous_phase(signal2)\n", + " diff = compute_phase_difference(phase1, phase2)\n", + " \n", + " # Compute PLV\n", + " plv = compute_plv_simple(phase1, phase2)\n", + " plv_values.append(plv)\n", + " \n", + " # Time series\n", + " axes[0, idx].plot(t[:100], signal1[:100], color=COLORS[\"signal_1\"], label=\"Sig1\")\n", + " axes[0, idx].plot(t[:100], signal2[:100], color=COLORS[\"signal_2\"], label=\"Sig2\", alpha=0.8)\n", + " axes[0, idx].set_title(f\"Noise = {noise}\\nPLV = {plv:.2f}\")\n", + " axes[0, idx].set_xlabel(\"Time (s)\")\n", + " axes[0, idx].legend(loc=\"upper right\")\n", + " axes[0, idx].grid(True, alpha=0.3)\n", + " \n", + " # Phase difference histogram on polar plot\n", + " ax_polar = fig.add_subplot(2, 4, idx + 5, projection=\"polar\")\n", + " bins = np.linspace(-np.pi, np.pi, 37)\n", + " counts, edges = np.histogram(diff, bins=bins)\n", + " centers = (edges[:-1] + edges[1:]) / 2\n", + " width = edges[1] - edges[0]\n", + " ax_polar.bar(centers, counts, width=width, color=COLORS[\"signal_3\"], alpha=0.7)\n", + " ax_polar.set_title(f\"Δφ distribution\\nR = {resultant_vector_length(diff):.2f}\")\n", + " axes[1, idx].axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\nPLV decreases as phase noise increases:\")\n", + "for noise, plv in zip(noise_levels, plv_values):\n", + " print(f\" Noise = {noise}: PLV = {plv:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 4. Application: Two Coupled Oscillators\n", + "\n", + "Simulating a hyperscanning-like scenario with two \"brains\" that can be:\n", + "- **Uncoupled**: Independent oscillators\n", + "- **Weakly coupled**: Some phase attraction\n", + "- **Strongly coupled**: Phase-locked" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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kqoN4bSLb17muhVUTAAAAAACAQaK3t5cOOOAAIchyobAxY8b4v5NZteHcWf65qamJNtxwQ/95r776qsg+Cz8vnHcLAAAAAACGFxBrAQAAAAAAGATK5TIdfvjh9PLLL9O9994rCoupsBi7ySab0K233hp4/Oabb6Y999xTCLYMu3LZRfvQQw/5z3nttdfomWeeof333x/vJQAAAADAMAYxCAAAAAAAAAwCJ598Mv3pT38SBcU4t+zvf/+7/7utt95aRBScf/759LnPfY5mz54t8mxZqH3yySfpL3/5i//cHXfckfbdd1867rjjRFstLS10zjnn0Ny5c+mQQw7BewkAAAAAMIwZls7a119/nU466SSaN28e5fN52nLLLbVex0vFvv/974tCCq2treJCV71IBgAAAAAAYE1x//33i++nnXaauA5VvxYuXCh+99nPfpZ+9atf0Y033igE2b/97W905513iueosIi7995705e+9CU66qijaOONN6a7775bXBsDAAAAAIDhy7C8mnvxxRfpz3/+M22//fYiDJi/dLjkkkvovPPOE4ItOw9+9rOf0T777EP//ve//QwwAAAAAAw9KpUKlUqlyN/xdQD/joteoWjRmmeg+rtQKFAul6N1iTfffFPreccff7z4SoKzbq+55hrxBQAAAKyrJF0jDkdwXTs8+3ugr2uHpVh74IEH0kEHHST+feyxx9I//vGP1Ndwx1988cXCyXDKKaeIx3bZZReRC/bDH/6QrrrqqjW+3QAAAAAwg1fFfPDBB7R8+fLE5/CF1qpVq7Sqq4LGGMj+5sq7kydPxvsGAAAAgAG/RhyO4Lp2+Pb3QF7XDkux1kbtfvzxx0U2GBd1kHCRBs71uuOOOwZ4CwEAAAAwEMiL8EmTJlFbW1vkxQ9fZHHhJl7+DbF2zTMQ/c1t9PT0UFdXl/h5ypQpA7yVAAAAAFjXrxGHI7iuHX79vSaua4elWGvDK6+8Ir5vttlmgcfnzJlDb7/9NvX29ooc2zD9/f3iS8KCL2MSv9AI/Dek0l9dtooWv/YefTB5Em01o9N+IFWq1P38fHo900QbbbY+jWq2Hwbld7vonfeWkzN7Km04od26nWp3Ly1/8S16u3McbTV7IuWy9gdJ/ytv04LeCk3ebDp1thWs+7vStYw+XPAhrZw+hTZbf4zV9ohtKpVp5XNv0Bsto2iLTadQc97eWl964z1asLibWjeZTtM768erLtUVq2nxy+/Qu5Mm0tYbjLcfS9UqdT83n/6vmqcNN59GY1ryVn3tj6V3llJxg6m06eQOq+0R29TTR8ueX0BvdIyleZuuR4VctqGx9MbqEk3YbDqt19FsvU2VRcup6/WFtGjqFNpq+hj7/i6VadVz8+n1QivNmbM+tRZy9v29YCEt+HAlFTaeTrPGt1ltj2h3xWpa8tLb9M6EiTRv9gTK2h67VYd6X5xPr5eyNGPONBrbanbsqlTeX0zvv7WIujeYRps1MpZ6+2n5s/Np/ugxtNWmk6nJYCyp/c3fi6+8TfNX9tPYOTNpymj7sVRdvIK6/u89+nDKZJo7s4HPgXKFVj/7Br2eb6FN5qxP7U0NfA68tZDeen8FZTae3tjnwKoeWvbim/TW+An0Ee9zgJe1ccV7vggfN25c4ut5+RIvPxJt9fZTv0NUaGmivOWYlMdcqVimalOBWgyOt/qGHKr09FN/NketLQVq5F7C6S9Sf7lKuZYm6/OboFyhUn+JSvk8tVlcB6j9bQsXxeLjgy9sJ0yYELl0bDCutQAAAAAwvOBrRCnUjh8/nkYSEGuHZ39LPZGva3lcNhqJsM6ItXyzxxV2+cZApbOzU7w5/PsosZajEy644IK6xxctWiSiFdY0fJOyYsUKsY3tz8yn/u4ylbtW0r/K02h6h93bl+9aTsUFH9D4CtFtPRXaf7blzbXjUNO/XqN80aFnVhapsMVEas7bDe7ml9+h7kXdNObdRfRIsUhzJzZZtZNd3UvOq2/TqLJDt6+u0oGbdhgdcGp/tz39OlX6q9S1pIcy5fWps8Xuprjw9iLqeXsJTax+SH/oK9Ou0y1F1nKF8i/Mp9aSQ4/1VGn3OZ3WonYrj6VVRSp8uIKeqvTTBmPsbrhzi1dSacH7NKFCdEuvQwdt3G7V19lMhpqf+T/K91fp5VVFaqlOolZLUbv51Xep+8PVNJkW0YOVMn10PTthLNPTT/Tq2zS67NCfexz65GajrU/erU+9RuW+KnUv7aaXnak0odXuxF14dwn1vrWIJlaJ7uyr0F6z2uz62yHKP/86tRQdeqK7Sk1bjLMWtFqeXUB9K/qp7cPl9Hi1SJt0Wo6lZaup/Pr71Flx6ObVVTp4M3uRtfmfrxH1V+mdFUVq3mo9ai9YjqX/e59Wf7CSJr27iO4tVWiHKc1W/Z0rlinjnZfu683QfnMaG0ulvioVF6+m56rTaMooy8+BhUup/60umlAlur2vSv+xgaVgX3Wo8Ozr1FR06B/dFWreYgIVcpZj6YW3qGdpL41+fyk9Vi7S5uObhCDIfckrYfgiKg7uZ75oZzJVh6i/RDmHaHmVaGyL/YVSpqePqEpUKlcp01qwPudm+ktULVYoT2Va7jjU0WQpsjoOUW9RHMMrq0SjW3LWYynT3UcO66ClCvWQQ00G71ugvxt0sfB7y+8xu2OixF9ekgYAAAAAoCIzatlRC8BQQY5HHp8Qa9cwZ511Fp166qkBZ+306dNp4sSJNHr06DX958UNDN8I8d/rozfFvycV++n5YoE+OmmiVZvlFf30oZMRzp4x/SUaNXY8tTXlrFxnK7N8o1ih9Uv9tIRaad4kuz7pf+EdWpXJUMEhendlhfbcfKLVDWClvJiWZrKUyVRperFI1daxRi422d/s8OnNLaBMxqHp/b30dqmJNp2R7OqKo/T+Cur2+rvcU6ZxEyZaCWPsrF7u9ff0Yj915ztoowl2H069znyxn53lEr1dKtD2kyZZtVNeXaIucvdtYrFE7WPHU7vmWFLHdqZUoZVZft8cmlIq0jJqo5m2Y+mV98VYYj5YVaWJW1qOpQ+W+GNpWqlITttYK3ctixrd2TfEvk3r66X55WbafJLlWOpa7Y+lXF+FOsezMJY17m9a3UsrMvLYLdKq7CjadJLdpE1vxR1LoyoVeqk3Sx/f1HIs9VZpccbdt/XLJWru6KQxFu5adoyuEseJQ5NL/bS42kobTLJzxhff6KJVlCH+/9LVFXesao4ltb+dxStoWVaOpX4qtYyhaWOCE4e6dOfcsTSl2E+vlJvoI5MmWLVTWtpLPd6x29pXptGd462co7wqQn4OTC4VaXm2nbaYNMpqm/pKfM7NUIvj0PvdRLvNmSQmRVmsYxFPp8I9P88plknKugUWN7M5u8kIh6jCbz45op0SZak5byf88jZV/LHhUI5n7m0aKleo7G4SNbFzO5OzXq1R9fYt7zjU62SoTaN/wzTqrJVtcLwVu2LCE+pM1GMAAAAAAMxIiT4AI4OBHI/rjLOWHbQcZ8A3fuqFPztqhWjV2Rn5Onbj8lcYvrEYrIrTvH0Zvmnkm06PnpXdlM2uZ9dgb1HcoHNz44t9tLS3TKNazG+4Kr39VPE2qbPYTwu6y9Z9UlEG9dhiv7hBbrJoi7ep6vXT+GKv2LepY1uN+zvbX/L3rVCt0vLV/db7xstovXtimlDso5X9FZrQbu4crqr71t9Hi7pLtMmkrNVy84qyqrRvebf9WO7tZ7lH7NyEYq/Ypg6DsST6Opslp7eH5EpXHkuvri5Zb5PsI4bHd7FK1FqwG0sOv2lENKG/l7pWl2j9MeauaKevyOZDAffUspW99v3dX1KO3V5a1lehyQYOe9nf6lji962ru0RzLLZJuOsUyam6qts9X9l8SLGT2esnPk4W9ZSps91cHK/yWPL2bUypSG+vLtqPJeVA4W3qKTvU0Zwz7m9e/i7HALfDY2lGp/lEi1MsBY7dFY2Mpb6iPC2JMbC0t0LTmi3E8Z7a5wDv27urS7TVFMuxpEw8NPf0CjGR90+OqaRxxa/3f68sm89Xq1Rm969FXIBTZXnV3bksL4+qsABvd9nE2+dvk4jHcChvtU2Of5zkHXffWiyON94eJzTWTY5btb8bvSiV723cddVgXWsBAAAAAAAwVFhnroBlVu2rr75al2U7Y8aMyAiEoQTncFbk3T7DSyqVmz8TKt29/r1sU7VCvaWK3TZ117aJ2+ljUdKmnXJFCGOSpkqFeou229TriyJN1ar1vlVD/V3pK5It5VW9/s0171tfqTog/d1btuyjXm6ntg3ZUlnc8NtQXdUbHANl233r9ScjWFzp7y/ZtVOpUrk7OJas+3s175v772YeS5b9zc7D4Fiy2zemvKpHCLVym+zHUq2/m7mPbMdSX5EqinpYqFSpv2K7TT3+NrnnE8v+Fu9bTWDjTE6r7ak6VF7d6//c3NC5ssffpob6m88Bynnf6S8FREATKspYco/dxse3e7zZtUPsPO2vfYY0N9IWn9+UCRLbz0r+MFFfadvXQhhVjgsel7YprJwTLreCJ3EtT92eoK28mLfRtp8AAAAAAAAAA8o6I9butNNOIrbg1ltv9R/jHIk77riD9t9/fxrquDfptZ/Z7ckFRozbYXfQqp6gMGor+LCg6d3c8U1j2VYUCQmjrhBpt02V1UFBs2cAhGimWrQTx4UQ3aeIhw0IyKrAJsQVa0E7OJYaEcZKipg1UMI/U1ZEG/OxVA0KbJYiVEUR/dx9a0BkV8dOyXIsVarCoRk8di37WxwntXNJI5Mj4WPXVkAur+6riYcVPnYbn9RgKrbnJZ7UUAS2RoR/ISA7jY+lsPCfK5epZKHWCSG6u5a53lTh81IDwr+3DTkuymfZ32LflOOCz5XWkz+KyCqEUcdeGA3aT20bYiGU6DuXXEQt40fTmLHtIk6BIzL22GMPeuyxx/TbUrYpSw0IrJWgEJ1poJ9UrrrqKjrggAP8yJDbbrut8UYBAAAAAEYw559/vrhumjp1amRh1Z133ln8/thjj6V1iZtvvpk+85nP0LRp08T+//CHP6x7zptvulGh4a8ddtghtf0HHniAjjrqKNpoo41EDYWvfe1rkc/75z//SVtuuSWNGTNGRKQOlsFhWIq1PT094gaAv9566y2RIyt/5sJfzJ577ik6XcLRB5w/y2/wFVdcQQ8//DB99rOfpSVLltDpp59OQx2nr18sm2xYZGXxUBF4hHho7dDsHxDHILej3iQ2ImiWuRjMAIgrvERYFdTYMVi0cAzy+1YnRFvum4h48DaBi8sUbUUodkOGBTYb4b9SFSL2gAg+vE2qY7BYtK6Sro4lFiJtx0CltzgggnZdf1fston3LShm2Y+lamhclvst+zt0nNgKkWIJvOquF++bZX/315bluz9biuP8usBxYn9eEs58P1aFVw6UGxjfIUHTZnzzhIFyPmvINdwX7N+Kck4wgvdtgM6VagxCphFBM+SsdZ2sFm2J/XJfx6t4Hrr/YXr0sb/Sz3/+c3ENwtcrL7zwgrEQzf+wdg1zZTEneDE4EBee119/PS1evHhYTIIDAAAAAAwVOMOfr6H+8pe/BB5nveuJJ56gUaPsakIMZ2677TaaP3++MAKkcdFFF4l+kl/XXHNN6mvuvfdeevbZZ+kTn/gEjR07NvZ5Rx55JB166KHC+Hn33XfTTTfdRIPBsMys7erqosMOOyzwmPz5kUceod12201UKQ5Xjv7mN78pbkZYsGVRd968eXTffffRhhtuSEOeciVwU8Y3166YUTB2eqq3Y9zOYluBrVT2nXCCEucpOsbVsp3wvlkK0WKpqRLF0ORU7UWRUjkkILvb1GJaXKZUCfRRQ666UMyEtWOwXPazWBtyaHI7A+TQFdukCgeliohmMC4KJN63ARI0lf7OVR3qs3X7RvQTb5NxUT8+dkP7tsrSeVgN9Um1z27fuL8D+2Y7lipVN4sz4Ii2nGgpBc8nLI4Wy1Xz4lk8lpQfG4n5qCrnIZ5oKVmOJXff6vt7dEve4vwWHEsrrcdScAxU+8vB/FjtbQrtmzxXtlgUv1TaaSgqICReusKvl61g1lDN6ZvN0vbbfYyorZnam/L0sY99jGbNmkVXX301XXnllcbbJM8Jvb29RnFO/LI14ax9/PHHxT6yy4GFWwAAAAAAkA47O/faay/6/e9/T7vuuqv/OAuDW2yxBeVydkVuh7uzNuvVLvjFL36R+NyNN95Yy02rcumll9Jll10mrqdZR4yCdUOuc8XuZ4bdt3/729+E8XNNMyydtXxjI4S5iC8WaplHH31U3Cyo8M0ju2vfeecdUWjs73//O+244440HBDCqPKztctL3FiHly1busVC4qH1stWw4FNtQPBRG2ogmiFKGLPZJhbqAoKPcJ82Lh6Ktm1zi+v6284R64orA+M85ErpAyH8OgMkjotcyErw71cs3adRop9df4cnEBoYSyH3Y6ZcssotDk+02Dpixb4pP3NucV8DEy3150qL/o48B1hOIoVWL9i6T8MTZNaTP3ycKD8WBnAs5StlKqrWZqNJJAo50C22KeKcaO8+DSqaLNZatVUz1tZFM3BmPkcGLFiwwP/9ddddR3PnzhUrgng53DnnnCMmoOU2XX/jDSJO4e9PP0mHHLg/tbe30xlnnCF+fe2114oLehZux48fTx//+Mfp6aef9tvmax9evjVtg1k0espE+tiuO9Ndf/pjINuXl9jxUi++jtp6661F+ywq8xKwNFAMDAAAAADADhYA2U3KcZ2SG2+8USzVj+Lll1+mgw46SCzP5+u1T37yk/TGG28EnsNi5HbbbSeeM2nSJOFSfe211wLPaeTab02SXcNFZnXaHzdunLgOv+uuu4Rp9PbbbxfC8GAwLMXadRIhHBD153LEY8o211UKPrKdRhyD0i3GbbGJytZVJ52etX2zXE7vORidDFHFc8BWbd2nnnjkb5NlpIIrrjiNv2+Ka7iczwccg+bb5DrYxDZlGhDsPeFI7pso5mQpsEnhX90mO4HNFXxq71sjkxruP8veWHIFZTtBMzgGeFLDfqJFHZPWsRP+WMoJl6B1YShPGFXHt1XWrLdvRT6XeG5q21gVMalRd65sfHxbjyV+/z1lrjaWGploaXwsSdE30EfFxiaRinn3c8A6UiHqXBkzlvh5pUo1+qtcoVK1SiV+Dn9xPm+pEv/8pK+yQ8WqQ0XOeueviiOy4uXvtc8HEQ5d+f5zjBNHIay//vri58svv5xOOOEE2nfffemPf/yjWBH0k5/8RAi24u8pTR3zpRNol112oz/88Y909NFHi2Vzxx9/vIgg4CVa7GzliIXly5f7r/nc5z4nnAlnnHIK3frbG2mzTTelI4/9PN395z8FNvODDz6gb3zjG0IEvuWWW4TIe/DBBwduHgAAAAAAhiJOpRj/VS0NynNtOPDAA6m/v5/uv/9+8fNLL71Ezz33nFiGH4bjAbgu09KlS8VEP4u67ALlaz9uQ/Luu+8KNyiLjb/+9a9FJq58nYrttZ9c0Z70FZXDO9B85StfEe5jFqRPPPHEuv2zhdv82c9+RkcccQStt9564rEvf/nLNBgMyxiEdRG5bLW7UKBR5WoDS9dd4ag3V6D2qiMOHFvHoBR8+goFaitW7YsLeeJhd97btwZcldxHpWyWcoW82NcsF+CpVKmQy5rvW2CbbEU/V2SX7XD2rZVjkJ2enuBTbG6iQqXsi9rGy7uFqK2MpQEQRtv4H9WKvcDmufN4LLUXGxjfnuDTnW+qjSUbQds7TsrZLDlNBTGWRDGnikNN+YyVMKaOb2unJ9Xa4XxPm9xi3q+qJ/D1NTXR6N5e3xU/qtlim3jflLG0wkY89NopZbLUnMsQFctUtTwvyUkkv78bmGiphsaSnYvVnfipZjJUbW4iKvcK4ZdFv1bDY1c4mdV9a8Dxrx4nPJZsViGok0j9hSZqrfbVMplbDdsq1Y+l5TH7xi7wa596N/h6d4Nq50ueteNDlcd7JkO5XNY4vYBzuYVAyio07ysXLMhmKOtFPBz3sWlU4PGa1o63Xfx6OTlVypfpzQ/eo9NOO01c5HIO1qpVq+i8886jM888U+RuMXvvvbdYFsdu2NNPO53GFlr8dr907HF08mmnU8eoFhE/xBFPPPvPS7ok7LCQ8MU+F1XlyIUTP/8FUchxz733obfffpu+/4OL6YDPHOI/ly9w//d//1e4dBl2WOy+++705JNPCrcuAAAAAMBQpesfF8T+rmnsJtS56TG15/7rInYfRD630LEBjdv8BP/nRf++lJxyrVi7Sr59Ko3f8uSGtrutrU04ZXn5P0/ccyQCrwTfYIMN6p57wQUXiOs+LpLFq7EYFmE54pPzWk8+2d2WH/3oR/5r+JqTry1Z0GQH75e+9KWGr/1mz54tcnWTOOaYY4SgvCZobm4WQi33F+fO8vZ+73vfo3/84x/01FNPiSzgRmFnM5sh2GDB/Wsa92YLxNrhgiL65apFIa6ssnV6cnNsXcqzCNUvHIN2N+kVXzzMlvqtBU2Z6dmTz7v7VrYUIDxRrJTJUY4Ftr5+331oKtZKt1itvxsRNFkc530rUYlnnmwETU/QZv2h1FSgbG/Gdwx2muYWc1vqvlWqtKxBcZwKWXeMFt0CSFLMMGmL6W9qokyp3y0M1oBrODCWbMRxT2Djfcs3FSjT2+eP76a84Vjy/r6/TQ0I0bxvfew8dLL8aWuXW+wJo6JJPnb7eN/sjzl+v/19s3XFK/1NzVkh1mbZIVmxP3b7+X2ryG2ynNhS3rdCmUXIsrXw7x4neXcVgnc+MRVrxVhSx3elQt0NTJAVs1nKsFO/UrIbS6FJpGzRfizxJFKVQmPJNrc4Cqus2dpLRQEu67/tZtaKyZbubhq13jj/V52dnSKrli8wOUN/9erVIoNfzdzn/DLOpH3h+efp49ts5+/Hfvvs67t0c5ShbbbZRlxo81I2dtBy5WC+6Jc89thjtYx/z6TLQvZhBx9Cp59zFq3q7qb25jHiOez0lRfrzOabb+67MwAAAAAAwJqLQmBxkK/9WLRlt2sU7L5lx20+n/evG/m6kmMM1Agsjv4899xz6V//+lfAbRqOQrC99uOVYKqTN4oJEyYk/l697mUh1CSfd8qUKXTVVVf5P3PeL+8Hxz3ceeeddPjhh9NAwEJwUhGyNQHE2mGCFCDEjWwpQ4VKhYpKNW9TwYeFgwwLbNQvRBHjwmBKVmWpqZkymdXusnyLbXIdVezyKoh9yzlVKpftxZWyJ4rw3vENPws+pkiBrciCT4mF0SqtqjQoirAwwyKGjeDjOUbZeegUCp7gU6Vi2bFzsTrhsWQhQ3giO4+lbFOWKt2cV1kVrrcmDbdZwL3mLY0Q4mGPK0Sz89DeWeuOJS7mxEugTZEuP+7vvCKw2fSTPHZ7Czyp4bpYuxs4TkrZHGV4MqJoN5ZkdEGFnZ6BsWQb8+EJ/3ycWJ6X/PGd47FUoAr1+v1tomeq+bCl5mbK9nV77djvW0+uQDnhrHSjMIyRk0gs/PN5KZOxjjCRDnTu76x3Xlpm5RyXk3Y5yuQ5D6FEGU94N5po8faNJ5HKPNHiHyeNjyXRRzHHLhceZFdr4PXshC+XKecQVXr6qcQXepksZXhyJJen9lFNlDfMvaqs7BbRB8VcnlqqZdGm09JM7c3upZN2AUTvtOFQRmTJPvjHe4SrffaM9Wn69Ol+XhZXAGZYdI2C8/Zpm239n9kVwQXU5OTLHnvsQb/97W/piiuuEOIvuyzYsfvjH/9YOC+4OAK7C0T21irXFVKlDK03aZLov+XLltHkca5YG74YZXcvw0viAAAAAACGMpO2PS/+l6Fr3UnbnK393InzztB+ri18DcfXa+yc5ZoGcWIjXzfyNR5/hZHXbbx6ap999qFtt91WxGCxIMu/45VX4Ws622s/FnXTosGSsmG5zpTqHJ45c2Zd7SlT2AXLzmDO3B0osXZtALF2mCBv0vtzrnCU9/LzGlnenStkiFvNO66gmcvmjJdksyuHmvLC6MPbxMvEbV11fbk8ZWVeZQMuPxZ8MiI/0RV+ObPQrKGa4CMEiG5y27EtmiOEGs7i9PIqrZaJu+3w+5YtsIeK84YthWgZX8H97Y0lm3Zcl7Y7lrJeFqccS00mbkgla7jK4ngj2+QVdHNzLzMN9re7b2IsUUYUveIsTNv+LrMwSg2MJU9kLWcylJWzjZWKscDmC6NiAiFvf5wokxoshnF/cwZ2qYEig35/Z7if5BjIWeXDVppkfzvUb9nf3LdF73zC4rjVecmLLmDhv5BXzpU2Y6lcG0vZPu94s3jf5KSGmGjhyBhvXBpPtCjueve8xGPJ7nNAirVyLLEIWYk5B/CYDccP8P5knKwYg/x6h/ubn+NkqJzLCKHWxKUt2hOxB0TVfJYKFd47bsusHa8x95t3sfrRrbcRcQ/jOmqRBgyLqAxHFbCIG2bWtOmBWmVi+8TPtf7+/Oc/L774Ap6zyU455RRxwc/L4bh9zh1j0XZ0zr0A58/wDxd1ibZGjxlctwAAAAAAwJog413nrM3n2sLXbYcccogQYTl/VuakhuHrOhZdZdyBSkdHh/h+7733ilVbfG0pxVg2NwxUnutAxCCwgKw6gTnWALhArB0myIzJSnOBMj18Q8zOLPuCQCwc5NiyJoSxqnCwtRQsb/ZZgOB2GhGzPPdp1rsJthHYVAcbi4c1Adlwm6qOL/hUm7x944IyNsHYSj/lcu7hluWcYFMns1e9XbTjCdG2Qk1APGThTwj/9q5hFqJZ8KkJbGbbJAWfcsYVjqQQ3WfjYvWWiXMUBotH1Ff2jx1bB7rb35b7xsvEvb9fbVaF6EaczDnKeccqC1Nl0xxd4YoPCv/i2G3ANVzMu8I/U7HMrBWiH4+BfI6q3nnJfCy5Yj27htl9LI6TapVWNyCO+2OJqdg6ax0h8on+ludK031TomcqzU2UWSWFf/tCk3zM8aQdIycAm3I20TNS+PcmkSzOlRWlYKUcS1KcNsJ3sXoOB/6/F0Ng1o7yCk8UDSilpm1FxDBIQVjCmWQcW8DLzbigQ10zpTKVV/eKiS2xWV6xsigzAy8342JjXGiMKwUzMm/s1ltvpeOP8KoKZzJ0+//8D82b+xFqa2+32DkAAAAAADCQcLHZDz/8MJApG4Zjsl544QURexAXG8BRCsLkoOS2cvEwNXagURqNQWAHLzt/B5I//elPInpsu+22o+EMxNrhgOL0rLLTk++v+EbbunBSUNAUgo/hzbV/ky4En6znznOox1Zg84RI6dCs2u6bJ0RLUcR1n5ptU0Y44biYDLmCj+fOs3OLua46FsbynuBj5WRWXMNNnqBpI0Srgg8XO5I6gRTdjNqS4qHS3zYCm+qqdNvJ2DsPvf2Qkwgc82HlrFXEcd/JbCOMeXEKok1PPMzZLhOXgqZwxbuPuRMtVaMcXdVZm1eEaNul6+q+uY/ZR5gEHJpVizGgrBzwz28NCJpC+Of+9l3xVXMns3LODQr/dvsm2pRCtGPrZOb+lpNt5J8reQy0mTqZxfkt5+6bd16yczJ75yWe/BOfA2Wq2uTxynxYIdTW3qeU1VkR7Xj/4Sa8w0vkw9qotUpmrSQTod+y4+HCCy8UBcZYsN1tt93ExTdX+2WX7G2/v4maxMYor/LaYbg4GRc+4NdxRMLzzz8vHBVcnIyZO3eucGrwz91Ll9NGszei395+Kz3x1JN02+9uSl3CpgMXc+Cla1yNWOakMRMnThQZYgAAAAAAIJmPfexjdPvtt4s82jg4JoHFSI5NYFGXHbgffPCBKBK2yy67iOxbjshivvjFL9KXv/xlevHFF+myyy4b0OzVrbbaao29nS+99JL4kvC1LRdG44iD/fbbTzzGxXp55doOO+wg9ouLil188cVCAP70pz/tv5avsfnrjTfeEFELDDuC2dXL18A9PT3impvbZzhKbG0DsXY4ICpSe//23HmMnQjlin5uDAI7mFyHpnEWpydolmWm5wC487jQTbbiCgUZbxm6UaU96WDzlvZaL6f3+tt1MLrLxPNOhUoW/S1dw8LJ3MSqiCfUVB0KLoBNwRN8yuzyy2ethWi3IJDbHxl2DXv5MbbuU981rEYFmArIilDHH0iu4GM5lmSmqHB6emPJIirAH0vCeeiNARYPTd2QSpwCv/9S+LdxMnNeqi/6iQkSt5946boR/qRGjpoVZ22vhWtYjhvhqvRc8VUL96k6+ZPjkPwGnLW1PpITCHYTLdLpKSZaWNH0xqVpVIDr0pYiO4+BjL1r2HGXrWfk5wBHBVh+DtSPJZ60s9kmZRLJ+zxZbTGJ5H8OcK6vdAdYOWtrkQNe1HBdVIBZO278gdg22bDdJoWkWc8RGxpKfME5depUuvzyy+mnP/2pcELw8jIukiBcEUX3+FVblCIrX7Dzkjl2TKxcuZKmTZtGZ5xxBn3rW9/yn/+73/2OzjrrLPrBjy+npcuW0cabbEq3/Oa39Mn/2I96GtdqRbG03/zmN/7PfEPAsFD76KOPNv4HAAAAAAAAbbTRRkKY5Os8jkLguAMutvWJT3xCTNBLIZXjB84//3xxLTlv3jwhRopis8OAW265RYjSkuuvv158qbm2nJnLBcZ++ctfCsGVr6N5dRm/ThW7q7y6uVIzvzCPPPKIELIlbHLgL2YgTAyNArF2GJAps3joUCXLFnYWRTzXUSM36VKE8l2jls5a7yadl63aONjUgkBZFrOq7k26WJpf5eJCJg624NJ1vo21yQdlcc/to4wQ2LINOJmleOiK42SdNVvLh81QXkQzuE7mPkunJ7uG2enrOthYVK405Bp2Bc2aEG22TYqY5cVOWDuZPXEn25SjbMndN1ccNYsKCLghvUxP6Yg2QjoPWcTy+oipWDiZ/fgKIfxnrB2x8tjlsVSbjLB1elLt2PWdzLbL8qWoLR2xFtvkxSDUCsO5kTE2Lm3p9OTCgDJvWo5Lo6gAfwwox4lNVIDnrPUd0d7D1YrNJJI3+eP3t3uuNHZX+5NIWWrzs7SdhiaRxESbd17i4oOykKUpYmWEd8DFRQXoumEzIpeBlV9HfMaYb4z7om+e/S26+FvnULm/rAjI9eclruzLX2Gqff1Upgp97nNHiwvLbF8/lai2TXwRzl9JcIGzH112Of3w/O9SxXGot6WFOor94hwpL0qjMsXYqaBz0cqvjcskAwAAAAAA9bCYyl9J/Pvf/657bOONN6abb7458XVHH320+FIJF/Bq5NpvbffL8ccfL75s2jr22GPFlyxULIxjA1QobiAwrJIB1gp8I+vd7HPhpoy35NnGWSsFXumstc1PVG/ShehnW2BMuFjd17DAGixUZbpNIrzA3SaZNVu1WN7NN63E4rgXXeDnJ9r0t3R68vvmVoK32jdPQPYFH9lHpk44z2Va4bHEgo8vitjljApnnxC15RioWjuZZX/LnFFjQVsIPm5/ZNWx5C3vNtsmV4jmfsrzvvnCqKmztpYPW/D2zTbmQ46/KmefCgey7CfzY05mBEtXvM2kBgtpssigO5bc81LWG2Om2yTPcVJktcp19c4nPJb848Si6JmYRPKOCXb6yqJnNuNSHrvuWMr650rj1QzyOPH72zt2LaIC5HlJHLtyFUK1aly0kvvIjUGQk0iWBfTEhKT7z1zejcJgrJzjXj4sO2Jry1AsYhDk64ROG3TEmrfjvUZGM7j/t4xmkK5hrxGrLXJlaOk+rvXT2ncQAAAAAAAAACDWDgsyyk06O03dLM5ghqEufvYtF5byowIshTGvHdcNKV2sFSshgxEZk1IUsdkmry3eppqAbOGsrar9nfOXd1vFTnj7IJb1stBuKWqzW1FuU1BktxBGpdNTjCUpsLlFz0yQjj4hIHuzUDauOin48L7JfFh2VtuKvowQapV8UOPl3Z7ox/3kCqOemGUqHHn9LYQ6MdEis09tMoK98Zd1hVFrB7K/TcpYsskI9s4/3E4+655PGKtCbDyW1PFtmzWrnCtd4d972PTY5SKD3mASzlo+DzTU3+7KCLcYo53jv3ac8FjKeCssLMeS168OF/NSsmbNnbWeOO4VhvMLH9qcu70xWVCEaLfomeE2KRmu8v1vPAah5n81/syVxcXkhsh/Nlj0TGq1IvvWWvStRTwEthcAAAAAAACwVoGzdjgghFH3hphFEXkjyzf8xiKUdJj5N+kZu6Xr3k26WErt3ezbRAVId54QV1jMyilLaS2FMRbY5PJud9+q5kKNdPmxKOILbGaCj7jp9YQGIUI34s6rSgdbOL7CQqyXYpYnHjFCPDItMhcQ/htz1rLaUAlFBRgXPfMEH3bC5eRY8oR/q+Xd3KTvQLdbJu6KkDVBszaWqvbCPwvs3nFiK4yJMeDHV2Ts84/9Y5fHkutCtxnfMoZDiH5q3rTxOaAm+uWFoJ2xi/lQJpHEZA23JbNmTY8TT0AOuOLFpIbNRIs7lgo8ljz3qXRKG22TPJfxvuVq47vcQH/XHP+2Ey2uoC2PExkXYbxNnhLpu0+tYxBq/1RdrFbGWtmO6vZtwMiqun3FvlkI0aqg7feTjYAMAAAAAAAAGHAg1g4DMsLlpYgi/hJRSwcbIwSIBmIQFJeXXEYr2jd1sHkhzywciXzaBtxZYpm4t9xYuvNs9i3gZBaCZk2sNRJFVHeeFEWkyGojRHNeIveN52QWIqSxY7Dm9CxkPaenZREmfyk/C1m+89CiWJ26BJ7f/6xdVIC/BN5zsfoCm9XybhaQQ8vEvexbI5TJiILirM1WK0ZOZlf49zJUpVgrnczWbl/VxcpRAYaTETIKhY9dLlTnTdpYO2ulU1+2YxmDwG+cP5akK96w6Jka8VBQhX/L2AlfQPYjNSz2ze9vd2JLnpeEyGrVT+55SQij3gRZ0eqYC7q0rYqeBRzormvYd8Wb7pviGvUjBxRzq0FL/n8bigpQn65YdNXCYPptyR3hzOpa0bNGRF/RygAIyAAAAAAAAICBA2LtcMqs5QJjnsDmF6kxdtUpTk9VPLRoxxc0PfGIqZg62ETObM3p6YpQtoKPuw/szso1FezzE1Uns5cPyhhXS1cjHkRhONfpZ+P0lOKRmhHMAkTFqiCQ5/SU4rh1ZqknHvJ7JpdSC/HQfgm0cNXZLu+W7790HuYay5r125IFr6yyb2uuSlX4d0XWqlXEQ6C/raMCgtnOdu5T9++KCQQhsLnRDDbuUz8PWmQ7ywkbG4emEoUiHJp5Oyez6vaWE1u250o129mLQbCKnfD72x1LalSAybjkXGdZzEsca4H3zXzSTnzLhDOZK9YxGOJzQHEyW2XWMp5jtBZfYNeMzJdV0wLMRFY1usBVa93/2rlY3bTZWltWebxKNINsRurI8NYCAAAAYDiBCCcwUscjxNphQEZUaXZv0qWY5S83NXHnKTfpIkPVWyZsW/BKfPNFEW8omTrYlHzYvBCivVxXGyHaX5bPGapy38xzGANO5lDshFE/Ke48V/CRleAtHJpyWX4oKsBUHPdjJ7JyLGXdomeGy7LViIdaPqztWJJjIBQ7YfH+u8KoFHxqQnTZVDxURCgZFWAs1qtCdDYUFWA8ltx2GNGGJ7A1kn0qx6UvsBnnTSuir9/fdrnFflyIyIhWc6stsoYjzkvsljdyxYcmEKST2W6bamNJOGvlucRYQFbGd66BqABPGA3khNsWdfTd7DLGxnMyWwj/Ace/6mQ2FmuVf/suVouoAO8VItdViJmWUQHiyY7vYvVNrLYiq2wyEDVrd1HoZ9Y2UvQMAAAAAGAtUCgUxPeenh70PxgyyPEox2cjeJWqwLBw1mYy1CLckK7AYlyAR81hVHIvbRy6tZt0V6jJKg42FkVYANTCdzB6MQikiCKmBa8Ud54sCuUuETbNhw0LPuGsWS8rUntZvhQP3dt9G2dt1V+Wz8u7s1TlZeeMzXJjT4hu9gQ2xlj0C0U8+C7WamMFmFioke7TTKViNpZCS6nJ8QR7Xt5tUdBNwGK2l8Upip6Z9rdSgEkVkE2FsbpsZ39MOtRtVRSq1pYj+rtknsmsFoVSnMymbl/un9qyfE/4t8xR9gVNnowQkTFKJnPFoeZ8xnDlgOdi9YoDuuPb1DVcc3zLiRbhijftb6Wooz9p58VzGJ1PvLEks50DkRq2hcG8yYjaRIvFWJKZtQHHP0+QmOY7hyyjQo60z6z1znJKRqwnaGbsioIF2jHOmpXfMn5cjPsn7GzD/F+lGWTWAgAAAGDYkMvlaOzYsdTV1SV+bmtr800owx1hiCmXKe+tygNDv7+5DRZqeTzyuOTx2SgQa4cDfLPq5ZUGRBHT/ETvJp1kASYp+NgsEw+IR7Xl3XLZapMQXnWdtUphGardpJvnJ9aW5cs8XrfoWcXYySwLMLGALNy+NtEMqjvPz2H0RPZqA8vys1kqebnFFRt3XqigW9Z3sBm05TmiGSHQ5BpwRHsCW9jJ7Lp99QU2P/9YurQzNWHUVLCvjSUWs9z3XzxuU6jKF/5lf3uF70wFNu848bOd/YJXdk5PEc2Qy1LJtuiZIvy3SPdpg8K/KJ4mXdrW+bCyCJcn/CsTLc1yBUBqO0ER0s/3bqC/xTjyREibqAC/qKMv/LtRAaaZtYHYEdHf3vnNJiO4rMZ8SOHfdTJzJnNOVQKTCDmiw07mnMXyfjUfthEXazgqwG3ORK0NuVj9zXN46BtukhLxIAuNuY0btuNvhPcdmbUAAAAAGH5MnjxZfJeC7UhB1KqpVikr7mkh1g6n/mahVo7LRoFYOwwQy/JlXmnAnWeYVehVpneX0dYcbHYVzj2BzSsuJCuTS0GzKWeWWesvXc8qebzGBZhqRXOkeCh+Z12ESxEOLCrB14pUhd43FiENhTEp7LBg73aTJ4qUy2LfdU8qgSJcvuBjIUR7sQxiAkEupbYUosOOWOGG9Jf46wtstYgHT9DMNJBZKwU2nl3j8e05mY3dkIqgGRwDdhMt8n1TncxWLm0pRGYzVFGKnvFEi9hOrX2rFRn0C7pZRGoEHf9uUTDpZDYtoKc6YlWHpvGElIx4EHEhShEux6E+S5e2cPtzhqro73JDwn+46JnNvgUiB/xYHbtJDTkhVfFWWEhXdC6bM852bpWrGTwnM49Jk3lpX4cUs3WKCGkbFaAW4RL/N3TpqrEJNbOv56y1p7Z/Vkp0LeKBGix6BgAAAACwluDroSlTptCkSZOoVCqNmPeBhcMlS5bQ+PHjhYAIhkd/c/TBQDhqJRBrhwOhJdC1Ilyue8m8Hc8x6uVV8g2xaaEq1enJN+nsqJLCgbtsVfcmvSb6NvFNeiZbE1cs9s3PYVRFEVPHoOf2dcXxWlyE2DcbZ60sDMfvnfe+2WSfCgL75gpavEm65lM1a1i6tPmNMy3kUx/x4PaR2J4GigvxNvkuXVPhVxHqOOLBF6GqVeoxynauinxnRiwTlxMAVrETwZiP2hgwW94ddB97wqjNmFSznbNZ4XxUncy8TXkjgU26WGsCm3FRKDXbWbi03XOJuq1W2c4yvsBzxBr1d6gd110t3b4G5xPxptWctYwsoOc/biNEhybtjKICwi5WP2+6YjyW5CSS3CanoIwlcWLS3TfVyZzlwem/b0afcRH4p0abqADxf9UP667WMN4iJyj6Zhp1+8oDJFT0TNsJoEQ8DETRMwAAAACAtQkLZAMpkg0F8ZCFv5aWFoi163B/D50tARoFr9T8RHcptbEoorr8pAAldAM7p6cviniDWoh1pqKf4hYjz3puvm81d15W7pe3TU7VPAbBiahyb7pvweI7NRHSeN+UYlu+o9bbR3PRT80rDW2TqRtSFXzE+0Z2leA9MV2I40p/54z7O1pgM8699PqI8QtUef0uC/SZtaWI2rZjQLphZbazd5wYj8lwXIgylrIWkz/im5cPK8cAb1NDwr+YtJEV9Cycnsq50u1vi35SjhPR337Eg2E77KpU40KUMSX3W3+bFEHTH9/mk3Y14d873rKW5wDlvOR4hQr9bSLDsRTKdvYzgo372/+PO6nluWFrvzPASXDpGjpr3eYydNF3LxQrBwqdo6ltXAdtOH0K7bHHHvTYY49pNBOKeFD/YSogqxEPoaJnjbBw4UI688wzad68edTR0UHTpk2jo446it56663GGgYAAAAAAGAdA2LtcEAsy1eKryjCqJkoEi+wmbpPazfpbganbMtOZFWW5SvCkbHg4+cwBkUoua02MQhS8GFyZCFCKa4zVYg2ElfE+uBqQOiRGcHm7mpl6TqPI0VgqxgoEIGIBzEma3mMTgPCfy4TFNjsRD9vWb4nQpm2Ix2PfgEm1VlrKLCp0Qy+OO7FRRgfu4qgqYpZxgKbHEty3zxXvOmxW5c1bC1Eh9ze3hhQIxusinmJMaAWqrI5V9bEQytXvDfx4+fxKiK5OA+Y6JCqk9kXWc2Pk/p8WC8yxnFnlU2Qzmd/LMljrtrYGBCfcfJcaaaMuv9VNFpV0DRDiqzBdFrvLGfajP/a1tZWeuz+B+nR+x6ky6/4qVhyteeee9ILL7xg0FQmZLC1sft6/aTkIPjF0yz55z//SXfccQcdfvjhdNddd9Hll19Ozz//PH3sYx+jRYsW2TcMAAAAAADAOgZiEIYBXKwlsARacR6aO2u9rEJuQwlQNhVF/OXJUsRqwO0rvkmnpxeDYL1v0nWmCJucf2tU7EYUdKs5PaXAZiP6yffNXZaviIcm/S0yiz23mCfSyjFgJ9TUClWpAptZ7qXq8vPGkaU47js9vcxTFtjELop+shN8wgJbxVr0DbohTWMnVBejiMJQBGS7CJN6V7yRwMZOT+/5vmvYm/wxdzLX8qZ536TAZieyK5MayjYZjyUp/GdZ+Hcdn2R5nPBG1Rz/7lRE1nDCJuNNtLku/aDw726TWeyE+ObHs6juesc8uzxXm7STaqQUu43aUqMdpMhqM7GlOv4deZwYiuOqMOoXz4r4pU5TflQATyCwsKmUFzOzsQb+Oi+t2mG77cWx9pHWFtrt4zvRrFmz6Oqrr6Yrr7wyrRlBzeRbE1l7entpVHub/s6J9oKZtd7ekS0f//jH6ZVXXhGVdCU77bQTzZgxg66//no67bTTrNsGAAAAAABgXQLO2uGAV2CsfomoxfJXVfBhfMegeX5iwHHoL6U1rUyuLDeWxW6sIgeUbFBv32RkgHlb7nN9IVJZJmwnZnlOTyVHxyh2Qo14kK5hS4FN9rdfrM7LrLXaNyWvVGyTrVjrOz1rjmj75fQh57iVszYkjIbckKbZp4xb1E9xaVtGmPD7VosLkX/DTPiXWow8PmzjCwKu+ECkhqn7VM0rDY4lMXFiQFURD13hv7FjV0Q8hCI1jNqpBs9v6r6ZH7tBJ7P9+yYzguVYqsVOmBy7araz/37JMcA56I04/lNiEHjciVzh8FelIsYATz6KSU5+rOo+zn+jWipHvy7yq+y+jl/vtcNtZMoVsRpAPKah2vqib8DtW/sdC5kTJ06kBQsW+I9fd911NHfuXJGbNXXqVDrnnHOoUin7v//9734r3rMnnnqS9j/kIJo6ZQKdeeYZ4nfXXnstbbHFFsLBy0USWEB9+umn/df29fXRaf/1TZq1+Sa03qRO2vaj29Cdd93lvo+eEH3sscfSlltuSY8++ihtvfXW1N7eLtyx7JxNq36rCrUMRyHw/r3//vupfQUAAAAAAABwgbN2OOA5PdWbdBsHW50AYSmwOao7L0Jgs79JD4ortqJveN+kMNZk0BZ5YgZrRxVLJ3N46boqsJlkccql9Ko7ryF3dSAKw3MMWsZO+O5j1Q1p6PSUfaG682pCjU2Orpfrys5h2yXwal6pkoPsT0bkzSIexHuXzVBVmYywWpbvOcetXfFexIfYJ9WlbeGKD4zLUB6vlfDvTY4EltWzwOY4btSKZlvuPqkOdMvYiVAmt03shMy/9h2jyrmSc12NtskX/pVsZ+mKN8qHrY3vllDshNFEixeFEhhLUkAmS8e/jHhw1M+T6Of3PfBU3cPi3MOfT975qC+T8Z3yhUyG+mTkgwbq6/q5f7hd3hhuM5sRbbfs/TFRoC2lJbkuol6tJYdWrlwpohDWX3998QhHB3Du6ymnnEKXXXYZvfzyy0KsLZfK9L2zvyVEX8nnjzuWjj/6WPrP08+kcePG0F/+8hc6/vjj6fTTT6f999+fenp66KmnnqLly5f7r/nc5z5H9957L11wzrk0c7M5dMetN9OhRxxOt/3u9/Qf+3/Sf94HH3xA3/jGN+i//uu/aMyYMXTWWWfRwQcfTG+88YYowKDLa6+9Rl1dXTRnzhzt1wAAAAAAALCuA7F2OBAuLtRIkSJ5k+4LBxaFk7wiPmHBR3yzuUlXi3D5WYVVKhsV31HyYdV9s3Geyb7wl+Xb5ejKnNmqzOJUHGxGAltY9BUbY5dXKcRDZbmxcCBaCWyu4FP1Ih7UZfXyPdWqTC4KMMmIh7AQberQVLKdhUvbLQzEY9LMyRzKGg5sk7mTWc12dhTRr7+BAkxym9y/UTEsViiPt4j+Npkg8UQ/4Rr2BWRLR3Sov8Ou+Kx3TCe2I8W0QIaqnIywdTIHHdHi2DEUx0WkSrbm+A9kjhv0d7ioo2MbO6FkcocnWszOS2474WxnuwkSb7JNLZ6mnpdM1gCFQ2atid5+46b9OIXaq8vlstivt99cSBeeexZVKhU69NBDadWqVXTeeecJsfaiiy4Sz917772pqamJTj31VDr1pK/QmM7x/kZ8+fgT6NSv/T/qzeaobVQLXfGjy2ncuHF06aWX+n/+k5+sCbDPPfecyJS96sc/oeOOPpa68wX6zMGforfeXEDf/cH3ab/9Puk7gZcuXUr/+7//K1y6DLtrd999d3ryySeFW1dr1x1HCL4sRH/2s5817TkAAAAAAADWWSDWDgMc74aehQORu6q6vIzdYtFL1zlbUdvB5t2kizzQgOBjmVcZcAy696FCpDFyn1bq3Hn2Tj+n3jVs4WDzIwfYyZyzF9gCbtiwO89CYBNNehmqtg5dXnovnbXtuajCSQ7ldcaSF/EhXudHPIj65A1FPIhJDSmOmQps3vJmkcUaLpxk3E8R2c5WsROK0zMcFWAjRKvuesscXSmMcluinyyX96vZzk25UN6019+FnG7kgHfsyheoY9K4v718b6UQn7rf2uK4n1lbm0TyhX+TYnUy7iKXFefpiu2knSf8+1EolrETAfexMtFiNbEVXmFBMp6lGt1HuazralW3h/epr5+ov0Qlzj5va6aWQp6qPb1U6i9TKZ+n1vYWrexybqu6slvsQ39zE41qayanVKJydx+V+M1raxFtq9nRCY35/+S/3N3dTa0TO/3HOjs7RVbtvvvuS/fddx+tXr2aDjvsMCHoSvbaay/q7e2lF19+mXbcaRdfMN5/v/38dvnPbLPNNkJk5RgDdtDuvPPO1NZWy7F97LHHxPdDP/1pf4P4tYcfdjidevpp1NPdTYXWFvErFlilUMtsvvnm4vu7775Lupx//vn00EMPCScvi70AAAAAAAAAPSDWDgeqwZv0qnXkgFLIR95UK8VutB1sqnioFCmyEUbVAky1bEhvt6XQpbtvspq44hYzdfoJscePeKgX2MwcuupS6uDybtMYBNcNG3J6Wgg16rJ8bkq482ych54wprp9syGhRuo3OgWYVHceC2yNZM0GluVb5Lr6zkOlWJ0QZSzGQH22s9ue+bL8miu+ln2asxMP1UJODbji5YRDreiZmxNr54iW+6Y4PU3Pcd75TR2LaiG+kkWsij+WLHNd/czawCQSu33tHLFyn/x9s8kIVp21ofNStmoQO6EW4gs40M0nI4SjV3X8e4Wv3Pe/KrRbFfFehOMH2M0vs8FZrM3lRUFGPk6yOcd9nFdLyPchCX7TxHh2/Hbc9t0xXs3masUeNZHxBZwl+8jd94qPmbbJk2mrzTYSRceYxYsXi+8sukbx9rvv0o6Ku3e9SevV2ieiPfbYg37729/SFVdcIcRfzrxlx+6Pf/xj4bhdtmyZiDAY1zmOyjIrPJOh9SavJ97L5SuW04QJ4/z8WRV298rMWx1+9atf0YUXXkjXXHMN7bnnnkZ9BQAAAAAAwLoOxNrhQFwRF8NltMGb9KjCSZoONjW6IGKZuI2YpcYgyBtR4yxO72ZfLsuvZXEaiBmK0zNQgMmyUJnvqgv1t7HgEy4Mp4isRuK4FKK9iAfHMtNTis3BfXMFNn9c6pxdFPEwpzqibceS3xZbxixjJ7y/WaVw7IRZf6vCvxQPZeyE6RJ4OQbq+pu/OwaueNmOum9yDFTtjl2HjzGxLF+JHDAsVMWtsOiXa2Qywts3FsXkZJTqijeKnfCLOnrioRKHYjqW6o/dmrPWNJfbfXmtyKDNpJ08TtSxpMZOiHxvjUm74Jisn7SzGUvuuPTa8iftqkT6Ealue7V5Eb8h6T7VbkCidoXnRDUYSe4f9ZaiiOMjm6Vtt/moEEu7CwVfqGVYUGU4qmD69OnBZsplmj5pciCz1l2FILfJ3arPf/7z4ouF37vuuktk37JAy6Ipt18qlWjZsqXU0THW75sPP+wSY7xzzBjDnYvmzjvvpK985StCrD3uuOMabxAAAAAAAIB1DIi1wwBZcVve1LmuM3ZmVYxyXVW3WC4TIbAZiiJ8Y+2LK5a5rupNOm+TuPn02jQudhMSs6wqwSvLgH0xTPaRELMsBGTRT2QvsHlZrOr7Zu32lX0aEldMYydUoSZKYNPvb08YDS3JlttkFjtRcw3nQoWTjKMCxHFSEw8DsRMWwr9fPM22MJznQFb7W3XFawts4nwRnGjxxwA/bnHs1pyerhAtNteqv2v7po4BbVe8ECEjsp3lcWJ0rnSznevOlYb53hmRyRwxlkz3LUL4H9BJOzV2osJjSWObeNv9yRHvwQaKMTLcltgkRcA0K1jofQ/X8jJSatWGPBev2qZ7CBkjo4PqHlfyvXfccUcRW8BRA1zMK/C8ohfDEGjGFYBF66FtmjBhgig2dvfdd4siZYzMmr3tf+6kLx79Rf+5t91+G82b+xFqb2unXmqMRx99VOTTnnjiiXTuuec22BoAAAAAAADrJhBrhzjiRk7mMIZu0rM2xW7CLq+chWNQXZavCBm2ua5ym3wxI8tKQYmqBrmucul6WPCpFRirmrnzhF5Q76q0WbasCj5SaMkZCGxuhXOialbtI8ucUemsDeX6iu00dEP6jlg5Biz6SV2WHxD+G4gcCDrHbdyQNTGrYaen99RaDIJ9Pmy4n2Sbvjie0+/vOpG9AVe8r9R50QWB3xmel/zJCFVkNRTHVWG0lqNbNexv97lR/U02Y4kUx3/WYpu8dur726IYY4TwrxZj1M7R9XJmww508c1yLHEsi5jAEsZ4c1c8v8L1aav20wadtYHWgy5W3bbqnh0zScfRA+xG5QJjLNjutttulMvlaP78+XTXnf9DN137G8q3j6qptVJH9v4GFydbsmSJeN2kSZPo+eefF3mxXJyMmTt3Lh1yyCF0+jlnU3dPL82YszndddvN9Pjjj9MdN9zkbq6RqB2EReFPf/rTtPHGG9PRRx9Nf//73/3fTZw4kWbPnm3dNgAAAAAAAOsSEGuHOsKZFSHWWuW61pblh0U/M8dgjKvSF1dMl0DzTTo7qkLLu43ded5S6kwDAlt4KX2gHTPBR81QDYgiqlinGztRJx4qS6lN3Hl+8TSlIJAcS7ZOZjX71Fhgi1mWb9Hfcvsd4c6rjW/3QdOM4GB8hZUI5W8P71K4j/h4s4hmCEdqGLvipaAZFEYbccX7x6uS62o00SLOS+HzSc5a0AxO/HhRAVXTyIGaSzvfSDFGpcBY9LnS4H0LCf+qQ9esGGO9k1lk8hpPRrj7Fha05bFbtMrjVTyjFkXPgo7YpN/qtONmafvN+P8wkmr9v8r/DWmsrvM6ZLg97bTTaOrUqXT55ZfTT3/6UxFhwCLnJ/9jP5Eb6x113n9rr+T3dLvtthP5tLfccgutXLmSpk2bRmeccQZ961vf8p/HmbZnnX4m/fCKH9HSZctos802o1tvvZUO2HNfs8+3CJ588klasWKF+OLiZirHHHMMXXfddQ21DwAAAAAAwLoCxNqhjnLzpLrzJFbFbmgAhIOwuGLrPg0tyw8vN1aXiKZtExO7BFpX0Ixx6NpEDqgO5GyDsRPiGxdg8oVoz6lLpsvyg2It75cvaBoIbAF3Xp04biCwKcvy/aiIBnMv1QrtNeHfoHBSymSEtgNdbccXNJXjxOrYZdeo95jFcvood72NKz6yEJ967BqNJVlkMHzM2cQgeMJ/IxM2ajyLXJav5LqauOIDBd18AbkmjOoXT3P7U83jDcROmEza+WMgFD0i+1tT1A44/iMd0SaTP955KfA5YJHv7W26K4DW4gvkN22ZVXla7ZSR8VqtCedaTfnblKHzzz+fLrjgAqqu7g3+PjSUjjzySPEVaKe/SOWefuonoi8ccwx9+YTj/GgEuW8HHHCA+EqitaWVLrvo+/SD715MPS3N1NnWJI7n6opuf3uiRFV2/aa5bo899ljxBQAAAAAAAGgMjbLIYK2iLKX2M2sVgc00KkC8JhSDINo2yT2MyIZURUhT96m6HX5b/FCVl+QauMWiRFZjMavmYAy7/HipqXnhpLhcVwORNWoJvBQ0qw0uy1cEEqMYBGWbVKenqcCWtCzfVPiPEg/Vwkn6wlhEpqfNZIR0e9cV8yJjEUqKcXWueMNjTu3v/ABM2DBqgSS7jGDlmMs04vSMcKA3OInk9nEw11U4kCsW5xMpyFkcJ5wP6++b6oi2ccXLMaBkabv95Dq+TY+TurFk+HnCx0jSRItRZq2KIrK6MmtUHkHKtnmvDLRnbD6VJ93gtikt67Ui/27ki0z2TZkAlg5dL3oi+IcAAAAAAAAAawuItUMd/2af7/Hrb2TtCifFCD6OvfvURhQJuPNUR1XeE9jIMGvWFyCCy7ttBIj6/EwyFzS5irl87yIcbPoOzahl4hYONvm80FgiKzdkhKhtvZS6vjCc2CybKvd1YymYEWzkGKwr6GbviA67j8XjFsJ/fd60jFTQdzInCZpGkQNO8HgVTdm4IaVLmzI1g73FcRIVO6JGc1Qs4lkC4qEnjpqcK4P9rUSPWMSzCPdj4Nytxk6YC/91sSqWmcxxk3baObri7/kzkvWTdhb6YWR8gZGeqRQHrM9BMMt1Dbh0g0qrcMSaFL7zBOTaJnn5viYasvpEE7UYAAAAAAAAMGhArB3i+I5R1Z0XWG5scJMeKOZFERXFNduKcFVaOUbVPF7lJl0twmUiHsl9C7sYjQU2T6irFRhTbo4tnMxujm7YwWYq+nlRAao7z1SElEI0//0GhX8WduWy/EiXtmF/BwqVeUK0tfAf2DelcFIjDk25bwaxE4EibFLMEgqk+bGrLsuvz5o1cMXztodFv0A0h7nwH4iWUMaAUVxE+Hwiigx6x4luP1Xrs4YD7nqL/lbHkk2kQkY5n0Ruk6nwH/M5YHNeqsvjNT1XqmOyUeE/JPa721RzxWtLkfxc8dTaOdt3jw6U6Ct+YdKIfL3SgO9kNci/VTY+nOYiC4xZ5/GqjcJZCwAAAAAAwFoHYu1Qx7+xViqch/L8dJ05NcEnGyFomhUYo4Rc14YqnDOyKJBhNEPYeRYUog0FTTXPUXRQNuCW1W1LfFeWUgdcdUb7FnQNS3GF3cf6/e2K4wHBj7tbLu/m2AmTfNAoocZwDMgCO/FLqXWFOsUJpwg+Vm5fpRBfOAZBRHM0skxcEdjMinDVnJ7+snyLyQgWD8Pj28oVrwj/+ZjYCRvRT812tp6MqBuTZOQ+jRX+lfOS0TEXniCzydL2J8iCnwM1V7z5eYm3yRfaA2NAs5/SCk1qTyC4grZwiEYcJ7xNpgvzPb3Wa0h93M4R62+TTTsJzzUTWdXWZDRDTZS20VjjIryNnMMAAAAAAACAAQdi7VDHd51RpODjLsk1rXDO9alqIhTf+Bk74epcrBa5rsrzfBerpUs3sjCYJ4pkjZbk1hxsqmPQxsnsxwqo75sqRJssy49wVdosW6bw+6Y62AyEX3VZfk1Azg1IRXm5b+LvGLgq/WznkLPWxsUYW4jPKJpDCtGhiRaZPW0hsKnLxNXJCO0l/oo4HpWjbBaDEJocCZ+XGnQyu8eJYQG9qDxeueuNCv9+7IT5+I7PrTYY3+H3TXWieu+HqWvYP8cpwr/RZITILg8VKjM9d6uO/9BYkudK8Tzd/ZOvD63xN8qslX+TW/F1UTXXVbOd4AYpGxNQkI22KdxU7WfdCwH5jV8VcvuabM8AAnEYAAAAAACAIBBrhzpxgk9gyXnVzOkpCtxEuE9N8xMpJtdV030qslhlNmh4Wb5pwaOIolDUYJyCava1qkwe4c6zEtgUN2RY8DESsyIyi9XtM3X6iU1Toxl8IdpE9HMFlLqid4ZuSF/4z0QI/2IsmQn/ct/UyYia29fEMRgSokPCv7YAFZHtbFOIjQuMxcVO2CyBrxf+zd2+Yiw5AzAZ4U2ONBw7ESP8184n+gXGhJM5HIPgZd+a5vFG9XcgdsJpQPj34llsijGGJ1rkpJ3p+S18XpL7lmGnu0PU09OjsXO1b7X4gprIaqNDhkVfE0TxtIR2RDSD4VaJfatzDbt9pNtCXDKD26S5k7lR5HtbKBRoXeD111+nk046iebNm0f5fJ623HLLyOddc801tMkmm1BLSwt95CMfoT/96U91z1mxYgUdf/zxNG7cOOro6KBDDz2UFi5cOAh7AQAAAAAA1iT5Ndo6aJyIyIGgwMbCGJkJPuodmoXTM3Kb1FzXquby7kCGbmibfAHCQMyKEXyMxEOxBD7UjuqG9Bxs4UIx9dvjkCPflwiBLWcpsvrLxC0iB1T3cZ1L23CbopblS9WWt6lkvCw/KLDJ/tYteubmnjp1y/KtipUFRO1Qcamqvkvbz5sO97dXkEu64vM6WlBEhqp0xZs5Yr3xLfqpAVe8OtESIbDZjKX6HF13fPdZFOKLzvc2Oy9xpmfAXW9zrvTGiptb3cAEmXQyZ0MRJkrsBI+BgJCb0FZsMS+DsaSO73AhPvFndCNjYj4HZH/zuGwZ1UFdXV3i8ba2tsjzrzj+i31ULRMVqxXq63ffP6dUpnKxKI61SpYo76Rf9jjFIpWLJSqK7HKOiHH7uVIqUqXsUNGpUl8+vZ/cbeoXXV7MONSX88a6134pm6Vq1iGnoDi4Y6j29VO5WKZiPkfZPqJKLiveg0qxKHTz/gxRXyZ9jMv+KHOb/UR9Xn9U+4tULlWoVK1Qb2+tKGbSvpXLZSE2pn0eJrXBQi2/t2PHjqWc6mQfwbz44ov05z//mbbffnuqVqviK8xNN91EJ554Ip1zzjm0xx570M0330wHH3wwPfbYY7TDDjv4zzviiCNEe1dffbUQdfn5++23H/3jH/8Q7w0AAAAAABie4EpuiBOIHAgvyxeZpXyvay6w+SiuypKunUbJYcw36mALZVWGxQzt1d0RN/yqy89oeX/Y6RlyMmsJbF5RMPW1dbET2v0dIWZI1xkLECaF4VLE8arpUmpV8LEpLuQvyw9lcZqOJVU4illKbXqcBJ3MmVof6ZqrVXE8IlKDYyeqvE1pooiXNay+tn5Sw2SbZLE6ZaJFboJurisXmEsQ2IzGklqIL6pQlUGEibssPyho+qKkTRZrjCted98iRW3FNaw/0aZm39rHTginp/dHw65h/1xp1N8h4V+JMNGetIvJ0lZjJ9rGTqRMU94XbGP3ra8ojqn+XI7aWgquc5XFMH6cMlQp5KlFQxh1ymWqFstUzmQp25SngsyZ5nYqVdH+shYNFyjvVy+LqQ4VCwVa2uSt0CiVqVqqbz+xqf4SVSoVKmVz1Nycdz8zZfvktt+ms2+VClW5LfbQNhWo2cssj2w/cdf4/FWlrJrJbgkLtZMnT6Z1hQMPPJAOOugg8e9jjz1WCKthzjvvPDryyCPpO9/5jvh59913p+eee44uvPBCuvvuu8VjTzzxBN13333ia5999hGPbbrppjRnzhy644476PDDDx/U/QIAAAAAAAMHxNqhDqsw4oY45HTxb/irBsKBdOcpFbe9drjQk5GjKmo5vRTYdNUspShYQBhVlgnbuPNqhZPc70LQNhEgPFGkOUZg03KwKcXTAkvXfRGKn2LiGJS5l1QnsJmI4yTdeWGBzdsm08zaun3zcl11x6Rcls+tBcVxac8z2DcpZgWEulqBMd19q0aOJVVgM1i67kUOtPhZEbU+0xYiZQGmqEgNQyHa7++IpetyrGnhPS9QrNDvb8MM7EDBK7UdebyRWaGyiOxT9e/otOO7tCMmEMyK+nn7prbluYazJuduZUwWIlzx2mPJiRH+pWPfpL8jjrngpJ3u+18fXyFQjhPu7mlTptCkSZOoVCrFbE6VVv71WerpKdH/jZtE+8+Z5T6+sptW/OMVWl7J0JKNN6AdZ3WmblPprYW0fMG79HZzG43bajptMK5NPN779Mu0bMkqmt85kfbcdFbq5wCLxyufeIFWFyv07oYb0O4bTHDbf6eLlr/1Nr1baKWOLafRBhPaU7ep+NzrtHjhcnpl9Dja/qMzqL0pT06xRKv+9jyt7i/TmxvMor03mJTaTvnDpbTizfn0Qa6JnM2m0mZTOtz2X5xPS95dTq91jKV5W0+nMa3JYjT395IlS2j8+PFCsLWFow/WFUetJK2/5s+fT6+99hpdcsklgcdZvD3jjDOov7+fmpub6Z577hFC99577+0/h8VajldgQRdiLQAAAADA8AVi7VAnbum6L7KSlqApXEfVKHdexhfYTATNyJtrKUjp3qQr7QRcPFKosXB6BgUfC6dnxJLsOoFNpy3focurzIP97bdjItSEckZtBDa/kE8495L/nbHYphiXtlF/+47B6CJc2vsWkQ1aJ7A55uKRPy6zNYHNJJpDRg4EIjVUgU1n/7z3TWxGhMDG+2ZW8CqUocqxE15bZrmuLPzXihUGx4CF459dhmrhQy92ouGYD+WY4/NJmmMwLnpGTkaYxbNIUVstfFgTovVjJ+LGd+1caXJeEoRywuVkRNE0u7zuXGk60aK46wOxE+6ElPo5wKJenLDH4mFfqUrFkkOlTF4sCRePFyvUV3YoX+bHC/7jSeQoK55fKWSpqbnFf42TyVG+xMdbhpqamqnJc6XG7lrFoaZSlTJlIiff5LeTb2qinjKPRYecXO3xRCoO5YscwZCj1pZWamnKkZMvULHiUB/vczWn1U45mxN/mwuM5Zqa/ddks3kqlByqVrLe403J+1atCqGVX9+IWAvqeeWVV8T3zTbbLPA4O2aLxSItWLBA/I6fx+Js2NnMz5NtRMFiL39JVq5c6b+nUZEMAw3/DenMBmse9Pfggv5Gf49UMLbR3yOZ6iBem5j8DYi1Qx1fOMgGHFWuwOYuEdUSND3BL2optfhmmukpnJ5BV52pwBZbWMZim9Rl+Zkogc1om2KKQhks7w7kOdYJPqYCW31bdgKbzCvNBpblq8WFtJZSK8vyA+KhJxyZuLRlf8fFTmQGIuLBMgaBxayaeKiIYoaCZv02mQlsccvypcDGwqhujq6MnaifaDFzn9aE/1B8RcbbJovJn1qlulrkQMZiWX6d8K9EhuiItVL4r494MBRGlYmrqCJc3IHaBeYSxrf4ZiH8ByeRpBDt9lEj4rjcJt2VA1JAjo1nYYHR0PEd+xlnEl8RWUDP/bd2XERggiw0aceTEQYubXVCUnX8+783zOQWq0fC5yXDHHSwZli2bJn4zq5Zlc5O1xW+dOlS/3nh58jnyedEcfHFF9MFF1xQ9/iiRYuor6+PBuMmhQuj8fkPQv+aB/09uKC/0d8jFYxt9PdIpjqI1yarVq0a2WItOwa+/vWv0+OPPy6q337hC1+g7373u9TUlOwEmTVrFr311lt1j/f29uo5W9YG3hL4xCJcmo6qKHeemjOqvyw/RszImRXh8h2jYtky1QsHJm5IX/DJNiSuBJxw6uYrbWkJB36cAgt+FNnfug62WKFGCmwmUQFyWX6kKKK5BDpmWb7vhjQQRXhZvj+Wogq6absho7NvXZefWUZwXCG+2p8yd2lHun11t0nGV4QjHkT1JUNxJS6TOWMXO1EvsisubY2mAo7/bIRreMBd8Ry3kd6OHEux75thDAK/VnVp+91tGmESJSBL0U9nEklxVocnEIz3Lea8pH4O6BCc2FJ+EXJE20b9SBHSZNJOCKPhgpWhiB6Tz936fTOfjIgsxOftm/p7I8d/7HkJYu1I5qyzzqJTTz014KydPn06TZw4kUaPHj0oN0Q8bvnvQaxd86C/Bxf0N/p7pIKxjf4eyVQH8drERHccdmItOwm4Mu7GG28sCii899574qKTKwpfeeWVqa8/9NBD6bTTTgs8xtlfQ5W4glc2Apt70xixLF/mwxqIUP4NaITApluEyy+eFqpwbudgi7pJrxW70RZFpOso4UZWz8ksbHORy5Zr7ZCxwBboJ3mTbiWKxAhsBm4x97URebz6daqU7NMYgc1zIDcFlPPobeL+5rEUeZwYLMuPjHiwEthiikKpApuBG7IuvsJ31po5BkWTdWMgZ5E3HeXOU7N9NdryJn6i83h5wkY/dkJ1Mke5tLX7O2ZM1lza2kkvflvBseSe36wK6EXk6IqUYN3Cd/I4EfsWU6zOohhj1OeAm22uMWmXVGjSQBgVLuWIPF45QSaytA0mI+ImyMxc8W5GdFKWtsmknfiuRv14bbl/y2SiRRbio5hrCoi1axPpoGWHh1p4TTpux40b5z/vnXfeqXs9P08+Jwq+5o267uWbk8EST8X5fRD/3roO+hv9PZLB+EZfj1Qwtkdmf5u0P+zE2quvvlq4AO68807/YrRcLtPJJ59MZ599Nq2//vqJr19vvfVohx12oGGDf5NO9Y5BA4HNdQq50QXhSunyBk33Xi9OQDYvwiWX5Te2tNd150VUOPdcUO42mzmz6gUIVWAzcy/VCxAZ6+JpUc5aEzdk9LJ8O5e2eP8jRCgjkV1Zlh85lqTjO2cQFRAeS6YxCDHuPB+TqIAIMUsV2HQLjMVGaiiOUb1tUp3jYQey/lhSx3eUOO7um0ZDYsPrBU25PSau4TjXaMANqdvfUvgPCWziGwvIBuNbbIO6b54j2t3mBsVD71yZM3T8xxZ1NMp2Vpbl52I+BzQm7VQBOTCWMtyOQbG6uEkk+W+TCZuYeBY1J1pvfFeUc2UDDl1V2FejfqwKe7qrGSKznQ1c8WDNIbNqZSathH/mFWQbbrih/7wHH3ywblKEn7fVVlvhLQIAAAAAGMYMuyltrn671157BVwDXPGWHTP3338/jTiU5fT5ARDYoopLGTuqlJv0hopwJQnIRuKKK9LI14b3zUYUiRbGPIFNd9+SMiZZCDAVRUJxEf6ycZOl1GnL8jUzVKOWZNcygg3zSqWgGSPWart9kwow6S4TjynEJzKCvXaNsjgjxCxVYDN25wXef09cMXHCOcnCv4yd0Nq3mDxeo2gG73hzeCIkwunJObPaGcEJBfSM3JCxDnQzl7ZwesrnhWZQ/bGlXYzRHQNxk0j6jv+485vaR1qb5DvM44R/3WiduImtwAoL3bgQ+dq6Ipre37KZaAkX9jSKQfAmo0JFBt3+bjzqR26TwCRL2/9sinFXIwZhrcJi7CabbEK33npr4PGbb76Z9txzTz/ya7/99hMu2oceesh/zmuvvUbPPPMM7b///oO+3QAAAAAAYOAYds5adgwcd9xxgce4wMKUKVMSq99KbrjhBvrVr34lqhh/4hOfoEsuuSTRgbDWq+b6N8TS/SqXQrq/5xurUqWSui3VcsW9+RQ3xLUqdPI2URQp0twnp1wR3/kGVN0mGanAOaRlsU2Z9G2S4oq6TazQyHzYSvrSVadcVpZSZ4LPlwJbWX/f5DZlAv3tCRBVzf6uuNsklvZ640W0I2pwy/dNc5sqtf52lztXQ25ILnpVSV1uLPdNjIHQWJLbxNXp08dS2Rcg6seS47Wj0UcsGihCdN34lvEc/N7l0/q71ke8uDPqOOnX2DfRR3IsZUNjSTj9XLec7vsmqkrG9HdGt79L3N9uO6z5yufLV7ku7apRf7Mwoz5fjiU+dkvlChVCglDdvpVrgk9w37x2tPfN7e/oseT9rYrBeUme49TzkrJNvG/Vak5rDLgCm2Pf3977Hz2WpPCvOZa8Y65MnH0b1d+kdT5xt0n2t/2+udvkHXOiqFxNmPXFWu9cmZYR7Pc3R2pE7Jv+eclth4+vrNLfTujzVO/YdZ8j+lsd31JA9j/jdLbJdWlHjW/3ONGLZ4g7dmsxCHrtVNXjJNDfXnPinKt5/h6CVXOHAxzbdffdd4t/cx0Fvq687bbbxM+77rqryEs7//zz6XOf+xzNnj2bdt99dyHUPvnkk/SXv/zFb2fHHXekfffdV1wTX3bZZSID7ZxzzqG5c+fSIYccstb2DwAAAAAArINirW31W+ZTn/oUbb/99jRjxgyaP38+fe9736OPf/zjwoUgl5UNtaq5+ZUrxU1wqerQiuXLqNDvCg357tXksEuuUqGly1ZQV7U7sZ3syh7x3ArlqK+3m7q6yu4vSmXKs9BXdWh1dw91dXWlblNTb5+4SStWKrR4UZcvEjZzf4i77jJ9uGgx9TQl36XnVywXrrlyrkr9q1dRV5fbn7mVq7ybsyotX7nSfzyOTLFMuXKZWD4qFouBfWjyBJNSf5/evnV3i5veIlcEVPq70NPt9/fipUup0J986OSWrBJiXTkb7O9MTz9lqtzfWVq1WnkfEmjuL7r7UK2Icedva6nkOkHLZfrgw66gUy5q38RYqlLJ4WqHy6mr5FYizK9aRVU5lpYvpy5KGUur+4jKFSFk9PfymHFFG36s4PV3T09van/ztuS8fStWK7Rk8SLfWSfHEu8bj6Xe5pSxtHw5VaoVsW+rV62grmyPeDy3YrVwpGWcCq1YyWOsNvESSblCeSG0O9Rf7A/sQ6HqPl7sC46xOJpXrRZux1K1SsuXLqVqdzZyLDUXU8bSstVCZCplHert5jFTEo9neouUFcduxhtL3vuQ0N95Fn7FxEwlsA/NRfd9EP3dtSg1I7iwcqXIpGVhbyWPpcpq8Xh+1Uq3v6sVWrai9j7EwcdDrlIW4mFRPUarDhW896GvN30siX3o6fHH0tLFi6ng7UNTX697XiqXadGSJVTpThZr88uXib4qO1XqW1U7L2VX8LmhSpSRY6mYKrLnhUMzQ8Vy+Lzk7lupX28sNa1e7W1ThVYsW0rZXu+8xJ8DvE2VMi1Zuozay8nVRbPLu93zUiZDfT3Keam/RLlKhbJV0v8c6OsX+1A3lvr7xeSCw58DXYuorZB87BZWuOclHkvdSn/nvLFEcizlexPbcXr6KCv6KEulvr7Iz4H+Ps2x1N3tfe5WaNnSxdTnKc5N3hjjPly0ZCllvPchjtzSFeLYrWQc6lm92j//ZFf1iuOfJ0lXisfdYzp+5xxq8o7RUrkc3Ley+zlQLRXpww8/TJ20a1q1iiqO9zmwbBk1RV1T8OeA0z0sq+YOB/j9O+ywwwKPyZ8feeQR2m233eizn/2sEHW///3viy+OQ+D4LxZoVVjE5boNX/rSl0Qk2D777EM//elPKZ8fdpf3AAAAAABAYZ26mvvJT37i/3uXXXYRF7Wc+fXDH/6QrrrqqiFZNbfYtZp6Mssok8/RxPHjaeIod/lbuadCS7NLRKbiqNGjadKkUYntVLMraHnuPao6ORrTMYomTer0XU2r8m9Rplym5qYmmjRpUuo2deffoUymSPmmgsgAlpTeW06rF62mQjZLnePG07i2QmI75RX9tCy7lJxcnjrH8D50iMcrVKDl2Q/EvrW187bWi/Phm/SVuTeF82hUWytNmjSxtq3Nb1Gmr4/yubzWvvUvWETdmW7K5vPB/l7WR/3Z5ZTPZmn0mE6aNK41sZ1KKUMrch+Qk83RaKW/q6t7aWXuHcpXHWpp5W2dkLxvLHxm51MmU6VCc/D96W/rotXL+6iQzdG4CROpOcXCVupaRb2ZFUQ53rdxNKnDLTBS6XdoaXax6O/mjtr7EEc1v5KW597lQUWjRyljqVKl1bk3KZMpU0uhObW/xc1+np9fomy+QJPVsbRwBXVnVnljaRyNb3ffhzjKq4q0JLNY7Nu4sWNp0sR2929km2h5biHlnAy1trf72xqH01eklbkFQpBrF89Xx9I7lOmpUD6X0xpLxbeX0qrMaqJ8niZNnECjW/L+uC9ml1E+w2NpLE0a35bYTqWSo2XZhRzITGNGd9CkSWOUcf825SpVahZjqbatsf2dfZ0yGYeamoPvT/HNxbRqaS8VcjkaN34CtTUli1Clxd3Ul1km+nsCj6UxLf64X5ZbJMZSfhRva/I5srpiNa3KvSPSGdrb2vx94HHfnZ9PmVKZCvmCVn/3FRZSJtNHGTGWJvmTF2LcZ1eJY3dsZ23cx1HuLtPS7CJvLI3xz63uuF9I+WqGWtt4bMQX8BF90ddPK7JvUKZK1NraFtiHnpb3KNNdFscuf5akCWzFd5eJ44G3adKECdTpnVvLq0pUyi6lQiZLHWPG+OM+dptoKS3Pvk9Ohj8HOvxzq9NfpJX5tyhbrtSNjThW8+dGpkxNofMSj/vVS3rcY3f8BBrjjfs4ykt7aWl2qdi3TqW/edwvz30oxlL7qNq4j923ld20PPsWe/tpVHtb4Ny6umkBZYpFKuT0xlL/G120KtNDmVyB1ps4kVoK7vFQWtxDfZkVYt/GjO2kSWOTq7m659Yu8TkwVvmMq7Z004r8e5QrE7WIsTE+sR333MqfA2Vqbg2+P32tH9DqlUUqZPM0fsLEYI54BHxu7fE+ByZNiL6maO+ovQ/DrWrucGDWrFm+6z6J448/XnwlMWbMGLrmmmvEFwAAAAAAGDkMO7GWHbTs5jCtfhsFRyews/af//znkK2ay8skGV6yWMjX/mY2n6tVuHbSq8qJXEherOrl1MnnOzl/Ra5ws2ntk7+0Nxd4vsh09IpwsS82rS0v7UAsv+QbTH+beN+83EudfZMLJN280uD74heJ0tw33ia5xF/dJplXyfvGv0/dJqfW34Ft8t63rO77FliqHt63WpV7/ls6/e0XzVH2rZrLKe9bejvyFlMWzfHfN1E4SW53RW8sKfmw4fdNFGLT3KbaWMpQPl8bl45wF3ntOOntiN526vdNLV6XqVY1x5I7mHib1GOXJ178/jYd34HjJO9mBOuOJS5C4693D/W3l8WZs+nv0FgSzbPjUqMdLxBCxLyE+9vPedV07knxQ26TFED5PFU7V2rsW0x/i2PX6Djxlqfzvinvv9g1pQgXx2vwsn2b/hbnN28M6JwDnJh2eCy5Karuc/SO3eqAnJfcE0qGqlzQLfQ54OcfN3CcyG0U33U/47zzkpMlKijnE/G5KyOJND8H3HaC5wDK2X8OZHP1n7vice/crnXseucltZ8C1xSalWqHYtVcAAAAAAAARgLD7gqYnbDhbFoWbxcuXOhX0B1R+IWqOKswrgiXRjt+USiKLCxjVk3au0kPL5VWinBpNaVV5V6/iEtdO2rxFS9fT2ebGCeiAJNZYRmvAJMoChauAp4x2zc/jzeisIxJBXe1mFdoLJFlfwcKAokiXLIyuW4RLin8h05FahEugyJzdcWORPawXTuB403ZJpHPqVOsTCnoFmhLrXKveey6WZyh9y1nWISLl297UrsUC9W2xOPa/aQcu3FFoXSLS8lidaH+rhXh0i8KJb6Lc2OoWJ1JwcKKe8w1fl5S8phj9s2qvwPnE6WAnmaxusjxrRThkjnptsdurQiXXiE2eW52M5mjiwMaF0+L6W/dzzg/yzeqgJ5RccBa8bTIfTMZk/Kl4c8BRRzXOg0kfe6afMYBAAAAAAAA1hjDTqzl6rcPPvggLV++3H+MK+ay84JjDUx4//336a9//Sttt912NFSp3VjVi6xSODK5aaxEiFlkKLDJ50WJtfJGtqwrHEQINYEq94ZCRljzU11HesKYV707fCNrKLCpokiUOC4ENm3BJ0bQ9KvTmws1sYKPtugbIfx7+yf+lq7gI/9eRDumop9bNCdULN1GZI8R/n03pO749osDxvd3VWub3OeEhX/esdpEi347chtUTEVW1zru1B8nnlBqNJZi+rtWOElTrPWdnqFfePumK7D52yReai+wyXNu3cSPciwbj+86kdUVoo33TTj+6ydsdI9dee4W+xIW/kU/yXOlyTaFP+PU81t6M+6Mhlc4K/w5oEzaaSGF/7DQ7gmaGZPjxHO8Bs4BOcNJO6d2HRB2YfuTdg1OtgWuKaDVAgAAAAAAsFYZdmLtSSedRB0dHfTpT3+a7r//fvrv//5vOuOMM8Tj66+/vv+8PffckzbaaCP/59///veisu4NN9wgCjhwvtcnPvEJyuVydNppp9GQxbtJZ2dtUND0luUb3TS6N5/1woG+wCZu0JXlr+F2pDCm5YSKdS+Z3aQLocq7Sa9zVMnK5BaiSKRjUFMcFyGc3hLosIvVF9h0ds67sRbt1DlrTQW2eEeViXDgi76R/S1FEUNnbaxrWNNYGeOslQKElUs7wQ2pI7L6zto6V53ZpEby+2YylpRIjTqBzRVZTR2D9ePbzHlIGmPJO5S02lJfF+WI1jt24yZazF3xFDFBVuf21RL+vTicKMe/F7mh7RyXgmZA9+dzt7TW6p+7xWvrRHZ7p379KgRDl3bMsStncMSqDy2h3fu8jBCieaNkNIOuK94VRpXHM/Izjp+iuT08LmMmNeTngLbjP8I5bnxNAQAAAAAAAFhjDMvM2oceeoi+/vWvC8GWhdsTTjiBvve97wWeV+GK12W30jWzwQYbCCftf/7nfwpX7tixY2mPPfagCy+8UPxuqBJ7k+4LB7xCUnepqdtOIRyPaLLc2BMy/G1QkSKraKqB+ALTJaJxYpa6RNRErJXiUUgUMXKweUup652HSq6rloNNOkZZgAj9UhUzdG7SK4r7NM4x2KD7tCaw6Qn/MpO5XvAxHwNym7Ixwr+RkBE5qWEWzaAeu4GmPLevrsDm9iULNfy+qdtTE9i0hX8vkzks/AcENk3RL1U81I4LST52OSOY37u6WIpYZ22E09PPPtU7TvwYhIgJMu0Jm8B5KfQ7f/JH7/wde15SXMNFo2M3yhXv5Q7rfg44ScK/STRDXDyL6TkgZkxGOJmzdSfTiG2Ki3iwcMXXHyc1V7xWhImMeIiZ1MjYOP7FWKJ6V7zuNQUAAAAAAABgjTHsxFpmzpw5IgohiUcffTTw8w477CActcON4E268gubZctxN7LeumG9TFdP7YkRRchUYItyxPpCdNV836LceQZuX+moinP76jvYPOdh1NJ1KbDpLMlNyOP1lxtri0eKeBi+SfdcXkbuvAjh3yhn1Nu3JDekmWs4KlLDG0tk42KlBBEqvSn//VWKXdkJbDHCv7dNcrvT24nJ0FW2yUiIjHJoqsvyNY+3uP5WBTZRhClZX6s5QiMENr8dA1d83TbJZeIiwkRvfEeKkMo26q8eUN+7+v7WFcdj41mUWJuM1r55z+Hjoc41bCiySidzhHhINuJ4hKBZizBxz3EFzf1Lcg3rRf3IbQpNkPFnrq/W6onjYrPizgF+oUHDz7hGViEAAAAAAAAA1hjDUqxdl1BzL+uy80wL+UQ5s9TiK8JR5gSFpTBeO3FFijKWy1ZVfcXKwcZCTDbaLWbiOpI3znVuSFOBTdw0e5meoeXGRrmuiZme6rJVnaaUtiIKMOWEOE6NOWul4OMJB4luSEVYiFuWrx+pUVveHZcRXG0kz9FrS3wzdGn7lZuiXH4mRe+iClV52yTf2+TtSSnE5x+7ZuJhZH/rxoMmLF0P5E1XnWDGqlGGam0yQu8c4BZiiyvA5D7HbKKlPme0FhmjF4NQK55Wn6ObcYtLaa+wiCnoZuKKV+Mrklzamufc6P52J7b0J+2kQ7f+cyBQ0E03Wicuj9ekWJ0ysRVb2FMn5yOheJp06Zqel5Izgke+WLtkyRJ66qmnRHHa3t5eGj9+PG266aY0b9685GsgAAAAAAAABgGItUOc2k160MHkZx6aFM7yCgJFOaHIE/34Hi1xhaiaVRkWT4yr3CfnjOo62HynUMjlp7al7zry/l422E/G+YnqUuq4qACdm/SkDFXDGARViI4T2BoW/k2WG3vuTPV1tXZqTk9dB5u/bwGR3TQj2CuexsJ/7HJjTQdyJa4QnydCaTp0Y4ve2TprI5yHxrmX3oZHFhgzyuN1szh1xpLOvrmvi+pveQ4gI8d/XTEv+RTdCJPEiRaDaIbY4mlmImRgDMT0t/ZY8kTf+kkN06J+0Q5k80mNeJe2mzuiNwEYzGUPC6M1QbNkGhkTV9hTNys+pnhaLf9WcwzIa4rQe1fLCdfs72HIihUr6De/+Y34+ve//123mojfl1GjRtHBBx9MJ554Iu28885rbVsBAAAAAMC6zbArMLauURMPw2uE7XJGEyuTa9ykyUIn0SKkxTZFCTWKg01XYEtyDLrCQboZjm/cfEdVVO6ljBzQWtqbtORc3qRrCqMxYpZpFIYcS1EVzmtiva5bLFqoMcoI9pfjJmeomjpiGynCFXAMRop+JoXYPMEnrLAFlvc3kOkZiJ0wWG4eE/Egt8lEHHdiI0z0iwy62xS1nN5gMiIlQ9Vo32IKjKkZwXpFuORYqhf+bca3+rraNhm6IZOc4yZFuLz3zRXrqaEiXIHCYJFOT81c14Q4HFVkTR1LSjxLXX977ZrlqXvnypiYD+PPuEaOE7V4WuRnnByTNOK46KKLRH2CK664gvbee2+68847acGCBbRq1SoqFovU1dVFTz75JF1yySW0bNkyUaR2r732opdeemltbzoAAAAAAFgHgbN2iOPfyCVV3DZwHcVWJldv+HNJ7dRclZE3+yy8GWSoxgpsHtqFk7x2CpGOQU2BTbiX4tyQhg42sZTa7afw8m1fTDLKGY0vCGRaUT4+cqCqnevqblOKG1JT8Ikunma23FgVNINuMdOM4Ji8UrFN+vvmuvOi+9tcYIvP0ZXOv4yjUYRLFpiLyVCVbl89Z637HNepH9wef980xXGxi5n640SNHkntJ98tWC/8BwowaTrQY5ecZwdqLNXcvibieHTxNLvjpP40YOKKd89v/BXrQDcowhU5QaIU4dJ1MvufTY1MJPJEW4zjXx4n7mcc6buGo9zssn+1oyKSssvNi2hG7ptJZNAwg+sY3HHHHbTbbrtF/n7ChAnia9ttt6WTTjpJCLZXXnmleN3mm28+6NsLAAAAAADWbSDWDnWUIkXRFc718vzkTbq4uY5y+OguW00oVGZahCuQnZdpxMEWX1Fe7qypoyrshrQS2CLEQ7et2r6lZwTHxyCoAptWf8vYhbjIAeGoaiyaIbgEuoFl4opDt6STMRmocB4jsOkK/37xtOjxrZWlLNyZCS5tw2XisbETSuEknYxg38XaoCveF3zqiqcpUQGagmZSXIh/Pklbup40icTtem5fLRHKX3Iec640EWvjHNEG7uqA8B9XiI8GYixJ16gbh1LIpX+eREdz1Nyn2pM/Uf2kFOFyNPeNG4ot6CY+LzUmI7yJtrhcdlNXfNKqD+198yYSo+JZ5BjgnPDGxFr3OOFrCi1X/DDj/vvvN3p+Z2cnnXvuuWtsewAAAAAAAEgCMQhDnLhl+UIkkTfphu7TxpaIJrvOTBw+scVXvLbcP2fmqIrK0ZUONqPcy8icUQMHm/ecqGzfgJPZMcjPjHFVmhYpinNpu3/OQFyJELPUjGAd4T92aa+BUJcm/BoLbHKZeJSYpVuEy3PUCeKW5RsUhYrLBw3mumr2UdRxEnbXWxZPC0SYmLiGI93VilNfY6IlLp5FdQya5PEmiax6VariC7oZFXMSEQ9xrnhFZDcoVhe9nD5nPLEVFasTmLAxmrQLnePUIlym4nhCZEyqgOzUojni2skMQOyEusIiVbD3nLVx4rg7cWs2BsIHnPE1BQAAAAAAAGCNAbF2CBModBIj+IibU4MbNLFsOW45vcbSTjezNk48NCzCFRCPqIGoANVRFW7HwDHoufyillIbO9gCFc5D22QQX+DoiuwGuZfRMQjeU0xyXRNEVq0iXGp0QZwAob0sv+bSri8yZ1LlXhUPEwQ2zUmN2IJXRsJovOjnC/8647Ki6YjWjFURRE1qyO3WzhmVmZ5JESZkP4mkilAmLu1IwV7fDRlwe0dNbPn9nbZvtSeEx5J7ztXPUXbFQ7fQZP3EVi2aQae/xbe4AmMWk0jhbN9AES4Tx3+M8F+LZqAGctnd48QociCl0KQs7JnckDf5F/VZadDfqktbxl5YX1MMQ9555x0RhfDcc8+t7U0BAAAAAAAgEYi1QxnFnVdfpMi9sTYrUOK4TqiIZflSOKg27Kw1WJaf5PKS+6u7b7GOKqXglUbxNOFeihNXTBxsSvXu2IxgTbdvojvPf9/IvsK5+nOD7lOjIlwBcSXTYMEr6WTOJjjYdN3ecQ5NAyez7zyMzlA1E9hSnJ7aRbgSMlRl4SRDQbPO8S8GZMZMHHfiMmsN3L4JxdPENhkIbNLNn5RZy/nOqedKLwoj+jjhjfTOlZqTSIKoiRYZg6EpHsoJqbgCY9rjm58XKR4qY8mg4FWiK17zc0C2Ux/zYXCcVJIiNeS5W2Myqi6ehRr7HEjIm1bjK2yLp6nXFDqTdsON3//+9zRv3jzx/T/+4z/o7LPPXtubBAAAAAAAQCwQa4cyijuv3sGmLF03yeKMzPTkG37NTMcEl59pEa7AcuNYB5tZFfBIlxdrNZrOWvE347bHUGBLzCqU4lEjy7sVgS19aa+SxxshsEmBpVrRd+fFuRjJwH0qvsW4j/2l60YZqmFLnVKES2O5cVAYpejiQjo5o6prPNZ5qCGuBI7diNgJE3e1dMXHFBmUESZpY0kI/3JZfljwMRbYvGM3Qhhz83A1c11l8bTIQk5mWdr+GBDbFNo37w3IaAlj8WMpkBGscw7wI1XCGao1J7NuHI6/TVn7bZLjO2ryr1awUPNzQLaVjSpaKY9dEwd6VK6rSYGxePHY3BWfNNFiMPmT4PZWi9XpxOrIt7Z+0s49TsR2j0Cx9vTTT6ef/exndOutt9KDDz5Il1xyCX344Ydre7MAAAAAAACIBGLtUMZzw0YtWRQCm0ERruBNY+iX3k2bEKF0BAghHsZUATcsnCS2LUpk9YvdGLh9hS4T5YSTeX76S4TrltJnFIFNJyogLWPQJJqB0gU2rYxJ/yY94rCXj5kUhYrLCNZ0i6mOuuiiUAZOZvmehB3oIYEtdVgmRQ4oS6m1JjXiRHaLKvfie6QD3WIsxU3YCIFNYwm0kqFat5Taa8vd7sYmNcSyfF13td9OffE0Oamhv3S9FhcSLv4n91c71zXuODFwsaZlctfUWt0VFgmTCIau+LQCY3oRPenCv26xOtKaSNRz1sYJ0SaTdmo8S9yknZY47uitQjDJZQ8XT3Md6Pqu+OEGjyH/+M1m3fPzCNxPAAAAAAAwMoBYO4Tx82H5prHOUle74deucp+0nN7AURUv+JhFBfg3hBE36TVRJN3BFuinuAxV3QJjvoMxQWDTFaLF/xusBJ9UFMoXDvRdfuLv5xpzQyYJ/2ZFuJJEdsOcUb8AU5Sz1lDM8MZApICs6/ZNyvRUq9xrCv+JedO+q05fHI9f3q/v0BUkjSXdnFEev0nLu8XT9Nyn0eK4J0Jq5k07GsK/bgE9f5tiHP9aArLiro8ak74b0ou5sM1QVSftdF3xsc5a79yd6tL2JjXk62InWqqak3ZOihCtc5x4ETbu8RbaHkNnbfKEpIkr3p0kjRLHA5m1moXhIh266ooWnRUWwwx20p500kl0+OGH0x577EFf+9rXaMqUKWt7swAAAAAAAIgkT5a8/PLL9I9//EMUbDjuuONo8uTJ9Prrr9N6661HHR0dts2CCDGrEpUvqDqRNLMh/WJOcbmXwlRkIoqQdREu4RSq6gtshZyuOy9imzTdvnIZbbyjyvu3gaAZ7TzzHMjaDs14R7Spq9JdSh3f30aFfBKEf/2Ih6T8YwNRJCZDVTzmDQouVmZU0K2RKveJ7VgIbLK4UIQD3awIV3yGqulYilxKrU4GsEPRcercqZH7FjUued+EoFnVzPSMjuYwihzw2nL3I2K71QiT1EJVNbdvnGs4o5PrmnB+CxTh0hL+3b8VJ47rT2x5IjtlqDkiMka+b7qTGuLPJwj/Mnok6nNQ3SbxrVGRVaPIoLErPsaBbtTf/mdTuB3XEavr0vZXxkQcu/6SkhHoOP3CF75An/jEJ8R16ze/+U366Ec/urY3CQAAAAAAgIETa3t6euiEE06gW265Rdwo8jIyLtbAYu1ZZ51FG2ywAf3gBz8wbRZEkVCcxFRgCxY6aXBZviewFaKcQuKmsaqdw+j+/RQH2wAIYyYZqm7RnGhxxX2a4dL1upzRmsCW2lTK0l59R7TnzovaN8Ob9CThX76XuhnBSZEDvmtYZ4lwWoaqtsiqt5S6rCHU1TJUB05gq3vrjFzDnpgVtU0GDt1AhmqUwCYjTFgYdurjtmPzjyNyi3mjdPJh5fufNIkk2tES2KTTM/o4MXExym2KK3rHImQx9RygnN8iJ+28pesm4iGff5KW5eu64hNidfi/6UXvUo5d5XOAJ7byWcvilybF02SBsbhzgHTFm2RpR56XDKJe/InblM+BRoo6im3KjdgYBGbWrFniCwAAAAAAgBEXg8BFGh5++GG6++67aeXKlbUljES0//7707333jvQ27jukrREWHW1GYiH6aJf+jbJdupv9k2WUrtOOPH8KCU6kH+btk2eWyimerfRjWxcnIIisOn1tyqwRSyDN122GhEVoApsOqKvv/w1aiz5ua6axZyShH/NIlzBZeIJoljaAFDe1yinp9lkRHzxNN+dp1u9Pc5VqQpsBsduVIZqICdac5l4eo5y+vYkCz6GReaSlq7rnpdUgS3BDZkmaIpzktLfUfs20BnBem7ImHYYuZ0GEQ/uZ0rol1YFxiIyglV3va5LO6qd0GdK2qHiC/ax/S0d/8ntiIMkxqUdcMVXK/r5x7HOWj1XvJyw4f/GxilourTFt6hzQOiaQr22AwAAAAAAAAxxsfa2224T2V/77LMPNTU1BX7HjoU333xzILdvnSZRYGVsBDYRqdDYMspYocakCJe6lDpqaauB8FtbbhxTcdvQvRQvsJm4IWu5l0lV7htZ3m3r8kvaN924CLet+shSkyJc7vsW4/ZVxI1UJ7NS4TwuQ9XYOR7lZlcKMDWUoapup0Y2pC/Wxhwn+sKY4ohteFIjpnhayDWq7fSLE5B5Ww2W5cdmseq6Ib1CTmI/IjJr/ZxokwzsSLevcn4bqPOSgdNTjuW6fTMcA7FZw9qfJwkCq4UrPnYsedsoYifStskX/iMmyAKueA0xU34OxEVq6B4nTm1FS+Q2aUZzBOMU4s9L7jmORhRHHHEE/fvf/9Z+fl9fH1155ZV07bXXrtHtAgAAAAAAYEBiEFavXh1blKG7u9u0OWC79DFCYMsmrDeWN8VOlHioZuc5A1PlPlU4UAW/NIGtEWFMupe08kr5TleKhxFPkP2rWeVe7EdU1q6BwBYoCtVIhXMlviLqJl26m2V/FxK3KaF4llo8zSj/ONoJJ/6ehvBfe1mcwKZbhCtp32oCW9lAZE/Mm9Zxr3n77yQIPrrjO34ptZyw0YkwSeijuuX0jWyTGjvRwDZxhIn3WGrOqFI8LcpZK89xxrnFDYrjsfsWyi5Py3WtLcuP+KVShEunmJdoL0JkNc6HjRPZTYtw8XsbtzLCa4fPuSUNwT45fkjPFe8WKnMSzkvuZITJ5E+kOO7tm070jHRpRxVPi/ocyPmf6MOfGTNm0M4770ybbLIJHXrooeLfc+fOpXHjxonfF4tFWrBgAf3zn/+ke+65h/7whz+I51599dVre9MBAAAAAMA6iLGzli9ub7/99sjf/fnPf6Ztt912ILYLMBVFPEwU2DSX0oonJwg+ulWpY5eu1/L80kQRN2c04SZdrd5tcMMf6Rr2hVHSducliSKOQfG06DtizxFtXFwoOnLApHhaWmat3pLcWh5vZHV6w2X5ScKou+0pY8kXxaKFf7MiXOnF0/h4q+qMAQ0ns3Dx6eQNJy2lNih6JtqLiAsJTNhoCJpJ+6YWTkqd1/DEo6jiaarol7pyIGF8u85D31qbuj3yL0XGs/irB3Qnf2K2SSkyqO2ujxMPFSdzen/HjyW1v7UKH6ZkqLqbrvd5EjchaVKES53Yqts9gwzstIkt+SakOmu9PlJfE3XM8ZfW5A//L3Lfap9xOqJv7MqYwASwRrHRYcall14qiuB+6lOfomuuuYb22GMPmjhxIhUKBWpra6PW1lbafPPN6dhjjxURXzfccAM9/fTTKEQGAAAAAACGh7P23HPPpYMOOkgUGjvssMPEjfBTTz1Fv//978VyMc6yBQNEYGkvxRdf0XHDeQJMtOCjCGyNLFtWinClZnGquaeRN8T6y4STRJGA68jAMZhPWN6dSXOweUJ0Wn9rL12Pc4sZOaLVSA2K3jchHpkI//FCtE4RrqCDrV5g017e7Vc4jxlLakawbj5ojDvPXW6sf7xFTmqEowIconxGI0M1rkiRX6xOYyl1nDDmR6rwkNPso4hCZaYO5EC2c6zAprdMXExspfS3jkvbXSYek6EqjxND4T/Jpa1VHDDOoRsuxiiKcCU4axM/B/Rd8UnHicmknb8sPyqL1TDGJvA5kBQZo+PQ9UXfeEEzoyP8O+lRPzndyQgWUOOyncXEZlVT9E2YRAqM75El1jK8KuyCCy4QX2+88YYQYxcuXCgiD9hhu+mmm9LHPvYxId4CAAAAAAAwrMTaT37yk3TTTTfRGWecIZwHzMknn0zTpk0TP++5555rYjvXSdQs1khhUN7IKtF4sW0lVNwmdYmotlBTf3NtVIQrxXlo5GDzHE6ReX5qYRldtxhlqJBSOClRrBV/J8nB5la51yvophYpoliBzcQNGT2W5Bhwhei0tuL3zUwUiV0mLrbJW26su29xuZdKRnDDxdNklXsDl3ZTgvDvFodzoh3vYoNq7ry4iIfasvz0bYrNUBVRAd7TNAXNpAxVt781hF/FpV0nMppEoVTSnPpy59Jd2pR4XqpFmGhFBcTm6FoUKkspCpXWlrosP3KiRc3SNnD8Rzk9/a1M7W/XNcxifaTIHCjCpfs5QA31d8AVn0l3xUcKseF4ltQimpqxE5GfcfoOdPcc4FA1GzexpRRRHOEFxmbPni2+AAAAAAAAGBFiLcN5X/z12muv0eLFi4UjYbPNNhv4rVvHyY4dRe9PXZ/mL++lDZOWiBq4hSKXY8riK40uE1dEqFTBR+QLuss6Y91img42WYBK3KTHONhcgS1diHYFn8huCjnYiPJZjeJpcTfpuvEVSaK259DVznUVN+kJApsn/OoUBnNfkxxfoeMWE5uW0t+pa7uThCOxTTWBTdfpGV0UyqzKPWkKbLxNTRoZqpGdpAijDYnjSsfpiOPiW4Iwqi2wKcvgIyM1lOMteZukyB7n0JQubdKPHEhYAq9VqCrJzR7ICE7bpto5IHYSSUdkFY5/b6Il8oDzxqRWfyuu+MhJO4OM4LhIlboiXKTX39nomI9abjUZxE5krF3x6XEhNVe89kRiQrazzqRdbQI4+nNALTCmUUcTAAAAAAAAMJTEWgkXX+AvsGbItrfSkrFjqKuXaOOYJaI6zjM3H1a6IaNv0PgGW6/qerII5YujmiJkfFahUoTLYMl5fWZtTWDTdYzGO6r0HGw1F1TMDbGMndDpb0/UTirmJf6WZiGnWBHKE4+0HYOxQrT+Eni5LD+2v734gtRIDU/QjK1wrmQEay3x98SMyP7WLMKlZqimFeFK3CZV+E/KGiYNITopdsLLP5bb3kjxNJMM7KT8Y7+PqjoxCHqTSKkRJinFvGROtM55yXd6RubxeuclrYzgBIeuSREu5XdRY0ktwlU0GANJmcypKyxSXMMmGdi1SaSY6BltJ7P6OUDxMQgprnh3FQr3UfIEmY6ALI6ThNgJ/Uk79RwQtW8GkUgAAAAAAACAtSvWXnjhhUaNfvvb37bdHhBCZgdG3VhJ8ShncpMe484T37SXv8bng5rkjMYu71e3yaCwjHR1xglsukVc4h1VOS0Hm8wXjC/mZdDfUoSKy3WVAlvDbkg9wSdYPC25nfTiQt6yfBY0EwS2NIuXFKIThX/NKIxk8VARfNJtfokZqvoCWy1DNap4mi/4sDhusnQ9QWRNG0u1gm4aRaF0hf80EVIjTiGpKFQt3zstwiQtcqDmQNd31kaIdd6+ifFvNNHSwLlSzVCNcda6BQt1couTowL8saR5DnCzWCmxCJfu50Cs49/oMy5J+Hcfy2m44tOON11hVM3jjSsw5j5PR2T34lli43BkRA/EWgAAAAAAAIa0WPujH/0o8HOxWKTe3l7x75aWFlGcgeFqus3NzRBrBxB5wxR3Q6x1A6repCe4WLWXY/pCJNk72JKcQnLfvOJCum7IqDXwgTy/Bop5GfVT6hL42vum5WBLEkVk4SQdB5u3b4UYwUdryXnAnRfR334RLkNRJFJgq7l0tdyQiRXO9Zcbu380flLDfVqjGaqKwJYi/JOGI1rLyRzIrI3v79SsAHV8Rwls/KBGhIkq/Ccuy9cuMJZQQC+rF2EitiexeJq6LF8zUiNiWb7Yt0wwxiUW1e0bE6mh5T71Iweihf/gEvgGYz78CBO9iZaoLFZ3Y2rCqO42RR+7SuyEQQZ6o6548S120k5/FUIgUiNiLMlJO528aX/fEs5LYoUFnLUAAAAAAACsNeJSNwMsW7bM/3rggQdovfXWo2uuuYZWrFhBPT094vuvf/1r8fh999235rd6HULee0XfWKmZjuk3jW47Me48U4dP0o2sTrETZdlyrAChu5w+LUPV+6fOcuM4F6vaVnp/p7nOagKbltPTz9GNigqQS9cbc9ZqV11Pc+cZFuFK3qbacuPEMZCyJDuQEZyq+SUtpa4tN9YWRWImWoLLjcl+3xT3qVnxNEosnJS8b+lCdG1SI1GtrfvbUfEsWg5dFseTXPG60Qy6y/I1tsnvx4SJtsDzdMZAihsysbuV81tSkUGTDFU3I7j+1/652CvCldZOvCu+NmmXPvkjnbXxDnSt2AmOZ0laGWEQO5E20WZ67EZF66gZwanieErxNHV8p37uDjMOOeQQev3118W/r7/+elqyZMna3iQAAAAAAAAaE2tVvva1r9EZZ5xBX/ziF6mjo0M8xt+PO+44Ou200+irX/2qaZPA0lkbKCyT4ob0b9CSYhC0li3rZUOmOTR94SjDLrfkqID0ZcIpbkjZvEY7TlLBK0/QTHWNaouHOjmMqqBJDUcFpArRmq5h9yXxxdP0nIeKeBjp0NR0eQVyRiN+b5DDmJZ76ZMq+OhEBWiIUKkZqpqO6PCy/ISJFnbFN5pbXRvfSe2oWdrRrngjV6WTMImkFizUEA9THdFaxRjjs53dc0nGMGc0LgO7dpwkT2qwa9hJn7DREaJTcnQDTubEMZBcaFJ1n6bGs8htTnANi23Wzi6P6W+1EFuiK16jjzQn7dLOA7X4IU3hX2NSI7Wfhhl/+MMffIGWr1/feOONtb1JAAAAAAAADFyBsWeffZY22GCDyN/Nnj2bXnjhBdMmQQLyJi4u11VH9FMLncQWzdEtCKTegKY4axPb8m6uE11essp9SvE0KYpkE5ye/rYnkbTUVG4T/y9teXegiEuCo8pEYItdBq9byMfr7zjRT4kc0HOLxSylNijClSr8a2b7plY4V4QjXZd21AEnMoJllXsNR7R0n6ZXubd3evoTCBpFuILCf/wYyKTETqQXq9PN0laKp8WMpYxulftUcVwpWJg2GcH7n40+V6qO/5Ku8O8VyqtvSx67zoAV4dIpVpd8ftMTomuTbRoZwQlFuHxnbYJ4qL16RDr+oyZaRFRAcNsbyWXXc8WreeMUPyZ1xfG4fTN0xYtvcVnaJpFIw4ypU6fSH//4R7ECjM8XH3zwAb399tuxz58xY8agbh8AAAAAAAANibWzZs2iq6++mvbdd99AMSe++L3qqqto5syZpk2CBOTNdyOuo6AoRskOn7Rl4oGl1I042NIFiJrARqn7Jv521I21uKs2XN6dUhjMSGCL2yZdgU0VRZKq3GsUTkpqx19urOUWixd9jYpwpbgh3WXwZqJIPk5ckZEaKcJ/rUhRzJOkWKJVYEyzyn2SY1AjQ1XbpZ1QPM1tKud+l4WTIv+gFHzkGKCUKvfpruGopd3qvonnpAlHlZRjzhd+0/o7rVideq7Uc0NGK3U1cTxtEskfA2n7llaESy14lTb5ZyD8JxUH9MdS7DbVjpOm2POSFKL1PgeyUeNWzZvWKaDnO2IpZrJNxxWfXtBPWxxPmERy25JKdKPCv3LOHVlaLf3nf/4nnX766XTxxReLz7qDDz449nOAf1+pVAZ9GwEAAAAAALAWa7///e/ToYceShtvvDEdeOCBNGnSJOrq6hKOhbfeeotuu+020yZBAvImLk1g0y50kuis1XCwBUS/Bpw5igjZHCMgaxXhUhxVcTey0g2p46gSmxZ7c21QyEeKkLE3+/qVycW2p2YEu0JNpFDhbVOagGyUwxjrFtMvwpUmRAeWG2uMgUThX2e5cUrxtMDjaU5mmaGaMEHiC2wDMalhEPEQ53KsFXTznMO5hG1K62+dpeuynaQCTBn92AlX1I5bheBNkOgKyDriuOay/GyjY0kV/eL2TU4i6SzLTy1Wl+6KD0zaxQj2OkW45BgQgn2M01N8S4144O3xJlpiM6K9x3WLp8Wu+qgdJ6nnE+HSTh7fWQNXfNwsUq2wZ4ornhXYVMe/N2k3wpy1p5xyirhmfeWVV+hTn/oUXXLJJbTJJpus7c0CAAAAAABgYMTagw46iJ5++mkh2t511120cOFCmjJlCn3sYx8TQu28efNMmwQJyJvmNBdjWlahTkEgXdeReF5MpELGSMxIK3TiFc3RELPc3YgRKqWzNqXKveuqS8p0lI7BtJt0ZVl+I45opb/jxUOlLcehQsK+JYpZSj6sTmZt4lJqzeXGaXERgbHUiKCpK46nFU9T3oeqTqRGmjCm1d8p0QV+Aab0KvdJEQ8msROBDNXECJMG902pcp86iZSyLD+QEZxa0C3J6alb1NEVxQQxEyiqWCvdfLFtaRxz+sXTqLHIgYDw746/+H7SEDSTnMzKsVtMFH2Vz5NY96nBCovEcen1d0o/1eJZkh3RWpN23jbHnpcUJ3PipB0XT0s856p50yMvs3bXXXeljTbaiI455hhhOoiL9AIAAAAAAGDYibUMC7I33XTTwG8NqENmY8bdyOoU4QrcNMYu7a09t5Gl1PoONsW9lLJvqUVzkjJUA0W40pctu06/dJeX1k16UjEv4YjWd7DFCmyBMZCyb7qCT9pyY+GES84GDWy7RsGrSJ1dxCCkO2Jd0VdmTJJ9Ea604mmK+zTTcIaqgcCWmKGqXxxQuOoSMlT9bdLop9R904id0IsL8U9M2mJt5PlEN0s7RUCWjlERYaI5iRQnwgYENocon7ErCuUePBoxNmmirx+pwtqg3rEbm0XrR8ZUtfpJOJkbKcKVNkGmHLtpTmYxlpJiJ7Qnf9TJqIjf+8dusqAtHNp+Ib5k4V+eBwq2xdNCou9IgmMPnnjiCWEsuP766+krX/kKxFoAAAAAADBkiUtmBEMEKVTGilC6y/JTlnX6j2oUqpJ/OxLNIlxa4qF386ktRGfSHWxacRFaeX4ay1+TikJpuo+1btI9gS19mXCSmOWJkJpusTgnnJsRrF+ES3zPaiw31nDExrrFZEZwo8XTxMZ4glZa9IiSoRq/b+kCW7rwn9EuwiUFT1+0shRqVBdjnONftJMq+taK3kXuW2CiJXnfpNM53sWoF2GSWjzNE+rSz2+K8K810TIADk2NuJBE0dekCJd0eiacl8RhJ4Tf9DEgzicJn01i8k/j/OYWKqPkIlyaQnRazIdWdrmTvMLCn4xK+TzxV49oOWvti6dpTyINQ8aMGUOLFi0S/050sgMAAAAAADAcnbV77LFH6nMefvhh2+0BcQXGGirCpS7vp8QiXOkxCMlVqaXIqncjmyBoqkW40m5kkwQI9UZWCGzxZrBAHmtSnl+KuKJbdT1VYPP2Td2HOhSXV3pcREqFc+99S6xynyb8e/sn0IxBiB1LvNxYd8l5kjCq6YRLK56miiVpRbgC+aANVblX3ZCUXIQrob+DxdNiBB81t7jhSY10EcoXxRLHUkZLYAvmjDZQPMtzaVfScpRT901mFidl1upORuhEYWgWq/OPk4gnKNupG2ESe14SImtGL0dX06WtI2g6mpN2SajjMs4R6wrR+pExkUXYtN3eSjxL2qSdwURL5L7Jc4CGU3+4wREIRx99NM2dO1f8zM7a0aNHRz6Xz18PPfTQIG8hAAAAAAAADYi1fHEbdiQsW7aM/vWvf9HYsWNp2223NW0SJOCvgk8R2JKLcHlFRbJJN7JyiaheVmFihqqOg82zE2rljGo42JIEtrCTNZ9NEdgSHLHyRlYvmiGhwrn/NxNtlb6jKrYolG5BNz/iIWFJrhDYdApexQv/Ng62+IgHZSw1tCxfz8mcWjwtyg2ZSxfG4vtbX6hJGku1CJP0c4D7mniRXSd2wu2nhDGg3d/JGarBsRTfTFg8jM5Q1VtyLvvbjXlJiObgCBPtonfUkMDGGyTHZbTIqicgpx0nahGupLEkJpCUzNpITITINAe6X4Qrvhl57hbFIePGt4wwcdKKcKV8pniueFeITtqmtNUjyrk7cdKu9rv4SVLPgawxaZc0QSLPb+41BY0orr32Wrr88stFgTEe56NGjRJuWwAAAAAAAEaEWPs///M/kY8vXrxYVNg98sgjB2K7QLjAWKxQky6wpWbWMprLjdOKFNXiC1JEEbXQSdqNrIbAFpuhGroBTVviT0nikeJgS941ZVl+nLiis9xYUQJySaKI5vLuNAFC23mYKvzribVyLMUuR1Vd2ikuxqSMyUBGcCPF05R9S90mX/BJWAJtknupI7Alq1lKIb44l7ayvDtN8EksniYnWjSKS6UJmn6V+6qWwMZu7Lh9011yTkkxH4oopi38p4zv1EJVaoZqysRWmiteCv+FFFd84rHricepKyw0inD5Y4AykZNougUrdfo7m81pFeGSQnVcPMuAxU6ohT3T3LDyHJBQHFC72KiWKz7l2B2GdHZ20ne+8x3/HPiDH/xA5NcCAAAAAAAwojNrJ0yYQGeeeSZ961vfGqgm13lYnJC6Qpzop7+0N/lG1hfYkgSowFLq5GXL6cvypVATo/uqhWVSl6574kpGw8GmI7AliayaN8S6Ve4Tl+SywOb1UVZnuXGjN+maUQGpbkjNIlw6+ceiHV13nihWF7E92s7DlOJpBkW4Upd3ewKbzgRCuuinMZYU4T9+6bqmeJjm0OT2M/rFpXTOS2kTJL7wH38SqLWjsW/8FR+FolGEy2CCTCe3mBKOOW2HbtqY1C3CpfyNrI7jX9PtG3kaUBzR6Y5RN3YiXvjXjJ2QebwpgrbWZ1xKhImv1qY5a0U8S8x1gNKWG/WjKfwn5oSPvBiEcMY1hFoAAAAAADCinLVJVCoV+uCDDwayyXUa9cY7TWBLzVD1hdEUsZYLI8UV36hqCj66y7vTHIOamZ61pesNOthSXHWqwFZsZLmxUuU+MWc0rXq7t2+iTR3xMKnCuXqzn1IQSHxjJ5zGNsW5IYXwn5bH67lGdZb2+gJySkawjlAX+/5720QGua5c5T7SnZdRl2RTaoZqosCm5YZ04yucxAxVVfRL3qbEpete7iV/JW9SygRCKG86OcJECv864mHKviW5WL3zmyAlbzrRfSwzgnVyRpVl+fEu7YxbhCvN8Z9yrsxIZ3KKeOhnqP5/9s4DzpKiXPvvSRN2d3Zn02xid8mwIggikkQyXrgGQETETwEBA14MeFHBgIiAXJIJxQCmK14k6RXJwasIKKJgIAlLWJaF2TQ5ndDf763u6lPdp0NV9czsnuH53zsuc6anp7pOdZ/up5563kK2GASjqADdmBcN4V9noiV+9Yje+6YTzyJfdZJyPjTOEzkGdI9Na9JuijlrOaprxYoV1N7eLv47jde//vWT0i4AAAAAAADGRayNuskdGxujxx9/nM4991y4FcYRVQyKq3AuBTbtrMI445myBFpEcebsCp3oV7lPESINHGxyP/mMbl8pivDy11yKwJYuHCRU3FZEjlrSQ3pVQ1wJRDNouoYThAMtJ1ySmBVROCdyubEnrojt05b2ai2lThA0NYtw6RRPk6KfOy6T+ttbSp04qeEJbJqZtbGF8TSKcMmoiGpCHq86BhLHUkrxNJMig+J940iNBJFV7DJhX2qGaqJ4yGK+Rn+Lf1Kch+6mOsJ/vHHc7SfTQmxZnZ7yuhSzTUFD+JcTEdyfiY5/TUc0T9wkRM+4KyySXdqpIqS/L/1Ju7QimmKFhWY8S+yEjT9JqjEmUyI1xD+6UT8x1wHte4omhOspPPjgg+Ielf87zjktJ6vZfAAAAAAAAEDTiLVRN7nSIbfnnnvS97///fFr3ascVVeKfK4IuGBIrwp4isAmHJqOQwVf3lJQHuCT3Hl6AptXqIqyO9iEMJqSoepW706J5PXVw6Ql8Jx9qrlsOc4RLfblvZ64oxQR0tuP7nL61IJXWg42HeFf7sudcCjF7Kf+pzVcrLrL8hOKFIlt0xyDKcXTfNFPR9BMKQgkfp4xs1a7CJcn/IuIhzTBRydDNXEsuc7xXGoMQoqrMuT2je1vbz9i+7jMWl9k15nYcsdA5FvnuYb1BE3eTz6+v+WyfOFmTxcP5fUnrk1acSGpEy1yXFK8K15ZzRA3qeGLrBlXRqiO6OTVIylub4PJCNIpoumfJ6QX85HS38ljqe72TpxEMpm0i80uV1fr0JTi3nvvpde85jX+fwMAAAAAADClxNqom9y2tjbaYostaMmSJePVLqDEILjaR4Z8ObXQiUbhpNgq9xqFTvRFP2W58Tg42JKyCnVzXX0hbxzyeFOXd0shICU7UVdgkyJ7umDPhxHjrNVysOkI/0o/1ZJFMXX7qGPzlxsnmby89saKIorAluhk1iieFlxurCPWJhybFLS1MmtjIh5CRbhiI0y8olBpEQ86RbjUsRQXqaE7YePuJ0ctCbmuqcuy+T1NW5ZvUIQrKb4g4IbUEdiS4llymjnR8roUMzvCx8zN0smtFv+Itzp5LMlrXOR2foZqsgip69QX/yQVB/Q3TRei2clcisus1Vjir8azxH8OKEW4dI8tye2rCvJRbdLJP9Ys7OkXT9MpNDnFnLX7779/5H8DAAAAAAAwJcTarbbaihYtWkSlUqNfrlKp0EsvvUTLli0br/a9qpGCYGI1ca0q9xruvECxm5gHWaXQSaJ7SaOYV+qDrLaDTRHqUgowJR6b52J1/3Q2gc0VMzQcgykZwU5AYKPE/tYVouMe0v3oApMK52luyAQBWV0iXEhzn6a1qZocFRBcblzTEv7zGTOC5biMjXjwinClR5g4ZrETDlExajNZWCjpemJQhEs0LSHbWexOpBOk9LcvjMZs5LU10c1erTtr4wrxyfMrbVm+jjDmuyHTikKluYYLuhnBsuBVnAopz5MU8dC7nmiNJW98F/N2juhANENaZq0sEBlbaNL7sxoRJskTWxpL/JXxmpSlLf7RKuqYEocjr306UT8pESZ+m3SKpyVGRWjcUwAAAAAAAAAmlLhb/0Sx9q9//Wvkzx599FHxczD+ztpU95Lm0vVYEUrkBHgP/LFuSPVhP2YbdRmlpvs0TWBLe5BNE7OkQzNR9PPiFNztU8QV3aW9Cf0UzgiOO7bUIkWij3jJeUqiguzDBGHUXUqd5mBLF/613JABR3RCfIWMeMiYV+mLE1rOw1xsISudjOBAhmrsyasu76bsol/Kcnop/Mcu7w/n8SbpNCnF08SxacVO6EU8uP2dMEEiiqe5GarxkRpKhIn2uZssRCaNJZ3iaXIMpEdqJAv/2nE4yqSGXhGutHM3fRJJ133KYym1CFfa50Cqc7yeERzv+K9naccJ/7qFPf3JiIRVH/XrkjsJZh/xoFfYM614WiB2Yoo5azm6qVAoaH8BAAAAAADQVM7a2AcKIhodHaXW1tasbQIe8iE31nWmWYQr6GKkVIEtPhsyvdCJbp6fEHFSlgmPm4NNFTMSjs3/SayaZVCEKzWrUCMjWBYY0xB8dDId1b9rX4QrXfgXVe5TBR/3dVHwKnECwV1unCiKVPUEZHXbLMW8fAE5Sfj3t9cQ2LJkqIaLcCWeuykZqp7gk1aES6d4mr+tbv6xRpX7WHFcZwJB03noF0/TEMdThX8p1CWMJbG/hP5Whf/EeBYvwiRRYPMiQJInkRS3b5orXqfgVcrngHTLCpE1LnbCez3NFS/Gt24RLh1nbdJnnO/Q1YtniRVZA7ET8YU90wrxmRb2TLiY1O8pEu3ezcdll13mv6e8CuxrX/satbS00JFHHkkLFiygl19+mX75y19SuVymT37yk5u6uQAAAAAA4FWOllj7xBNP0GOPPeZ//9vf/pZefPHFwDYjIyP085//nLbeeuvxb2VEe04//XS6//77qaOjg97//vfTV77yFXHjnQQ/+F500UX07W9/m9auXUu77rorXX755bTXXnvR5ogfoZriGA1sbCseagpsei7W9Dy/2rjl+amOwWShJllgUx/SY/6YdkG3eqZjWjZkYkawfNjX6CMhsGUteKXhhtQS/jViEKQwKmIZNCYQtJy1SZMIcgl5YmatXjak2F/SsbHT0/tRcn97GcEZMlTVv6F17iZlqGoWPUsbS26xI52JFq84YErUi39scW3yokTShDqdCBO/ABMLX5puyEhRTxlLLSnXykTnuFo8LWtRRxEXoVewUNdZm5RbrZMRLMeSo5PvrZmBHns9USN64sRxzVx2rRUtGpNtslCn/LyMmrQLtCltQjKlWF1a8TRWi7Vc8U3IJz7xCf+/P/OZz9Buu+0mxFm1WOoll1xC73jHO2jNmjXUTNjeEwMAAAAAgCYXa6+99lo699xzxX/zw+VnP/vZyO06OzvpRz/6EU0kGzdupIMOOoi22247uvHGG2n16tV0xhln0NDQEH3rW99K/F0Was855xz66le/SrvssgtdccUVdNhhh9EjjzwyKSKzdQxC3AbKg5vOA1pcQSD3j+g4qvSccOIfzeWY2R1sqqOKUmMQ4iMH5MN+kjiu6WAzKDCW2N9ShMqnZwTrVIIXxFrqlOXGOoJmiuins9xY/KPrhEsTxxMiNQJjKU2I1nF6pmUEK9a22AxVVVxJEUZ1BOR6NEPMjjTONymO87GNaQk+cSeccm3SyeLUKpyUVGBML05BJyNY67qkukbjMoLV9y2xWJ1cGaFRPC3FNZ62wkKNVUmMw0kbl1rniZd9mpqhWt9XvPvUE/61xlJCIT61CFeSs1YWT0txRKdFBei5tJV9xRb2VDNr7Z3javG0+HiWvN49RZPD96k//vGPA0Itw9+fdtppdMIJJ9DFF19MzUCWe2IAAAAAANDkYi07Ek488URxo8+iJt8QsitBhWfwFy5cGF+caZy48sorqa+vj2666SaaM2eOv6SNb7DPPvtsWrx4ceTvsfP3wgsvpE996lP+Erf99tuPtt9+e+GmYLftZltgLMkp5P1nemXyFEcVO2r4IT5p2aoisCVm5+ksy/cdbMmZvOkONh23r7tENElg03JnGlS51xJq/PzbmP3InNGkh3RlGW0lVsty6rmXCc5qvSr3msJ/mnDgZ0xSuts7TWDzLeh1R2fSkvOkKvepDs2cRkawkqGa7mJNWW6slVdZF9iSxrfobzFkEsaAFP6zZKgqP0saSzq5rv6S8yTBvqovjKZlBPvO2qRxqS5d576I2M7tI8eN+dAq5hUv/MufxGaoKhnBiZMRmgXG6u7TmB3J8ySfdA1Qzl2NSbtYp6fqik/7jDMRNLXyeFNWj6QU4dKZ/AkK/2krWohaUiYk045Np3iazj1F5dmXqNo7QPlpRaIuajqGh4fpueeei/wZv873i82C7T0xAAAAAACYAgXGZs2aRcuXL6ctt9ySnn32WTriiCPE9+rXokWLJlyoZW699VY65JBD/JtS5thjjxXL6u+4447Y3+PlYXxDy9uqAvPRRx9Nt9xyC22OpDlrdQU21Z0X76jSLSwjRd+43WhU3A4JPjlNB1tcm0hziagrsCUvN07LK9VzsClL1/PZ8xO5TZFV2Q3zYVMFNj8j2Mkk/LvL4A3GUpLT0xMP0wr5CBIEn/py4/R+Sj22lMkINypC5swmu2G1sjhTJiN0xzfJ2IkkwYfHbMIEglbxNLEvTTekYyCyJhV0k45RjcKHqbET3rL82AiT0NL1uGPzi0tpCGyxTfJzZilxWX59c40JstT+To6xCUxs6fS3TqRGbCfprbBQzxOticSEFRbin4RoDq2M6FCkRmI/aYjjpLmixY1nsS+eFizsGX9s1fW9VF2zjnKjZWpGOKeWoxDYXdvb2yte43/ZcXvWWWeJnzcLtvfEAAAAAABgCjhrN2zYICIOWPDgPKyBgYHE7dWbxonI5vrABz4QeI3bxmIx/yzp95gdd9wx8PqKFSvohRdeEE6L9vb2yKJp/CVhwZfhG2GZuzpRVLwl/vwcFve3VIEtbhv14drNtGvcjl2A8qGxUqtGblOrVl0BIs/7iW4Tv+IKRw5VktpUrfoPmbH9KB9Aa7yvKuUjZGsuUCMdVblc9N9joYNkfmKllnBsMmc2+tic0IN4XLt5Xwz/b1x/y9iBXI1dMNzfjetfaxWvv4V8EtPfctmyeNiPbpNTqfgP6byj+P7Opx4bv2+uQ5PdpXFjqS5qV2L2JfrIX5Id8755Pe6OyYQ2Ka7h9LHktilKG5LH5vZ3/Hki21SOOzbub/98ixtL9dGU2N8Vbyw5yeeudJ/yeRK5jXzfWPiPG9/eseWSxpKI5vC+ycX3t59ZW0u6Bki3b1J/y7HE/R1zbHyesEiVS+/vtLEkC145uXz6WJL9HTGYVKEu7tzVGUvi2Dy3d+x+eNWBbL+4lsR/DvB7p9vf7nUprr89YTS2v+vHVo35HBBOX8UVH9vffqSG9zkQIaK649vtp7TzJGks+ddcz60cd2z+5EjitdJ9Pfla6R2id2w1tiuH2+Qdm/u+xbXJm9SoOTQaO5YqgU+xtPGd/DngxXMkfZ6MI+P9NzgCi2MC+F6Sv0qlkigsxmPyqKOOaqr4AJt74k15Xyv/jriuTcLfAujvyQbjG/09VcHYRn9PZWqTeG9i8je0xNr58+fTAw88QG984xtp3rx5qQ7aqhTiJiifi29Ew8yePVuIykm/19raSm1tbQ2/x28M/zxKrOXoBJnXq8IFyiZ6qdz6vgqVKxUqOxXq7u5uyFdjWqosxDlUHh0T20TROjgkXGlj1SptWL+ORkqN+ykNDbqibrVC6zdspLax/oZtChv6hJhRyTk0ONBP3d31m31JbniU8vxAXcvRwOAgdXdHj4WWMffBiI8vtt1jY+4DfaVCr3SvpdYIUaSlv18M+HKtRr09PdQd0e5iX597UlQr1NPbR93F4YZt8gPDlKtWqerkqTw6Gt3fNcfv75Hh4fh2D4+4x1ar0vp1a6kY4YZqGR7yxIoKrV2/nqqDjWJtsbdXiGYVp0YD/X3UXYhod++QeN9yVKPePn5PxhobVK5QUQi2Do2OxY+Tlor7nlTG0scSC14bN6yn8kDEWBocqI+ljRtpWiViLK3vF9eJSr5AgwMD1N3d6NDKjYyJscSiyMDgUGybSqPuOBlLHEujXn+X6eXubmqPsCr7Y8nxxlI5ot3eNlSrxo6l3OCIaHeF8jQaN04ch1o8IW5kxB1vUbQMD3tjqZIwltxtqFKhtes2EA1FjKWNPVStcX87VO7jdjdeu/L9w3zxFqJPX3/0e8I/L3nnwGilnDCW3G0qY2V65ZVXIj8zWgcGRF/yWOrt2UCFkYh2Dwy4Gcp87drYS921wYZtChsHxHWpmnNoeGgweiyNVaggxpJDg0Px527LqDtOWDiLHUsjI674WynTK93raEZLxDnQ1+eduw719fZQtxPRbnldoir18nvSPRJ7PeV3ZWwkod3eDcaYd+2KbPege80pe58Dg4W465J77q7bsJGKoxHvSU+PECl5LI308zUnYiwNjFCuVqVcLU/94nOAhUJqvJ5642QscSzJz4EyvfxKd/Q50M9jyaGy41DPxo1UivocEOeuUFhpY08vddNQY7v7hoTwW6EijQzFtLta88+B4aH461ILjxPub6cq7hdix5L3OdC9bj2NtUaMpd4+t7+dGvX3cbsjxlKvey7lcjXq64/5bB4tU6HCY4lobCzhmuMd21jSPcXQEOUrFeofHKJyzL3JeNLf3/h+ZoFNB9dffz09/vjj9NBDD4mCYixu7rHHHmICv5mwuSfelPe1DI9VdjLzOJvosQPQ35MNxjf6e6qCsY3+nsrUJvHexOS+Vkusvfrqq2mbbbbx/3sy4g42F3hJHBdrUB0IS5cuFQL2zJkzJ/Rvz5vn0M7LqrRu3Trq6uqKHDhDrasoN1SlYj4vtolibGU39bPjqFiiBV3zqb3U+ABe6R2lsfxGKuQKNHNWJ3XNndawTXWMaEP+FV5DSZ2zZlJXV+PxO0Mj1FdYRflqjVrb26mra37jNiyYFJ4RTtiWtrb4dj+3jvo3DFOpUKA5c+fS9JbG4Vp+pZ+Gc72UKxRo/tw51NXR2tjuco42FljoytP0GTOoq2tWwza1Yh/15lezj5mmtbdG9rdod3El5coVKhVLse0eLq6mXG6UcsUSLVzQFekEK3f303C+n0r5PHXOjm53pW+MNuTXERWKNKezk7q6pje2u9RPPYWXqFDLUfu06dTV1ehqd4ZHqa/wnHBDzZg+LfI9YYbaVlNusEKFfCH+PXl+HfXTgGjTgq55ke9Jpb9MY/kNor9nzpxFXfMb212t5Ghj/mXh5nXHUuN74oyMUV/hBSGytbRFjyWmP79SiBStba3x7X5hPfWvH6JSnsfSPOpojRhL3QM0nOuhXKHojqWZEWOpWqCNhVeomMvFj6WefurNvyjcbh0zot8TZqDlOcqVx6ilWIwfS6WXaCBtLK0bFOcA9/es2bOpa1ZwQoqpDFZoQ26t6O/Zs2dRV1dHY7tbB6i3sJoKVaK2aTxO5jZs44yVqb/wHOVyFTG5Fdvu9jU00D9GLYUCzZvfFbl8e2zVRhrM9YuxNH/uXJo7vbFyeWWoKs4BFug6ZvI4mdGwTbVWpJ78GuGGndnRET2WuN3F54XA1NISP04GxLFVqdTaEj+WXtxIA+sGqZgv0Oy5c2l2e6lhm/K6IRrNbeTsApo7ZzZ1zZkW0253LE0TY6lRcKn1DYrrKWvxM6ZPj3xPmEEeS6M1KiWMpZF/vUy53DDlikVa2DWfShFL4Ssbhmkk30OlXJ5m8TVndnvke7Ixv5YcPv7OWZHvSa19iPoKL1KhRtQqzt15kQ7dAe962ia2iW73aPsrNNAzKj4H5s6bT60REy3ll3ppKNcnolPmz+PraeM5UB113LGUy1FLx8zIc6Ca6xHnADk8lvg9md3Y7mqNBgrPinOgpRQ/TgaLL1AuVxauzbhtymt6aVD9HJgRcQ70jNBYfr04T+bOjv5sruVbqKfwMhUc+TnQ2O7a4DD1FZ4XbvcZ4vxufE/UewoeH7HnwDPdVCuWaUbHDJoTc28ynoQn2ccLFmabTZxt9vtaxp1YyIm/B7F24kF/Ty7ob/T3VAVjG/09lalN4r2JyX2tlljLlXElXGhsU8JuAZkxFnYXJMUv8O/xsi92DagdxL/Hbwz/PAp24/JXGH4TJ/qN5N1z5iU/nMb9PZnnx44xUX07aomot/KR4wv4gTd6PwW3yr0owFTP+FSREXai0ElMe5wi7yeXuB8/AoEdQYX4fpTFbnhfLKJGtlsUzeFiNzkqxuyrxm3yqtyXRa5lRJvktl6eY+z7673Gfzf2/ZcdzkvOC1Hlvd3+FrsT/RTdJm6ziOMU+4lpj/e+if3EHJs02rtFk+L7W+YY8r7ixpKf6Sn6O24suTnE3N+xbXJjRkXbWKiIfE/Esbn5mSwwRG7jFXJy2x/dHrdN3hgQoyWmv733jfsprr+dgpJ7GTuWvGXEnFVZiN5G9pN7DLX4sVRLH0t83PXzJO7YvP7O5WL7uz6WeNzFnydOSh+Fx5LIf409d72xVIx+78SxieKAbn9Gj28vbzrhGuAUi/UiXEn97WXE5ooJx+Zln6aNJRmFwaJX0rUy6Rogcoa9eIJiwljyQ1FjzhP30MLnbi72PEm6nojrkt+mmH7yrrni/Vcyo4OHVg2cC0nnrjjEhDapxRjjPuNqgfMkrk3184QnPyK3UQu6JX0OKLnsydcldwyknbtufxfix7f3GRf3ues3K2UsqRnBIhM96nNA3G+4425y7oXgvhzPe+JNeV8rEde+Sfx7r3bQ3+jvqQzGN/p6qoKxPTX722T/TXeXxJmz4RwuvlHlZWzhPNrw7zFPPvlk4HXe17JlyyIjEJoBtQhXbAEeJT8xvuCRG+iXXHxFo1K2V6gsscq9V8wrreCVTvVut5hTSoEx74Ezscq9UlE+qW6SbK/Mtoxsk/xZYjEvtbhQcoGxakphmbQCTGrxtKTuDhQ9S+pvWTQnpaBbWoVzSmuTskw7NtvFKyzkbp9UUV6vEFta8bR6Jfjk983v76RVCPJvaBRPY5E4aT/px6ZzDUgvwqUWT4vtI+U8KaQWmUseS+LYZMHClMJwQhxPKQ7oH0PUsYmwUif9Q5R/5o2B5P7mfqLUolA6xdOqKWNJfg4kFhhTx0BKP6UX4pPFAVP6KO39F5NRCcXT5FjSKFgo/kkq6ifzeJMK6OkU9FMLe1Y1iqeljaWU8yTYprhDUwt72hdPU9vrXuOS91VXrUGz3RMDAAAAAIDNGy1n7c4776wdfcDbPfroozRRHH744XTBBRdQT0+Pn9N13XXXiYfrww47LPb39tlnH7G8i7d93eteJ17jghI33ngjHXHEEdSsSFFEVpOOWCFaLzCW8HCtI7D5Ql2SUFNwhSN1+7iHdPFwmST46FQUVwWfBBFK/JMkrijOrCQRSi16lu0h3e2nxIf0quc8THq41hBYtUSx8FhyHColCf9JoojSplpim6TgEy/8yx/5AnhDg+rCf9JYcsWjtPGtCvbpAltsfyvCf6KgKcdHUkV5v3hauuCTLCArgn3SsQmBrZY+qSEEv5RjSxXYlIkWjbGUeA3w9tOSINTJz7CaxiQS6YrjSf3tpI0leX0jrXM37Vopt+cxELnCQv4Nz/meaTIiTdDUmEDQmfixmpCKGwKeK16ssEiasEm7BiiFPaVIHLcvd9uUsZQ6aad8NsW1yTs2tzhgwvVNjkmNiRY5vl2PdLhN3nFDrN3k2N4TAwAAAACAKSDW7r777ptNTu2HP/xh+uY3v0lHHnkknX322bR69Wo688wzxeuLFy/2tzv44IPp+eefp6efflp8z9EHnNP1pS99SWRRsAD97W9/m9avX0//+Z//Sc2K74JJeOD3H9LFg2FG0c9b/p0ksFGKwKY+pKc52KRwkOiG1BDY/If9WGGU3UscpxAw4Vk62DQe0qUDOcl96qQ7quR7miiw6YhiigDBYylOg/CdnuyGy6ULEInCv1eZPtntHfy7ceJhmvDvTiJ4zvE4fUXGIAjBnuwFNmEXdMeSlhuSj8Fxlxw34Av/KWJWijDqu/MSJiMCEzZJx6YhRPvnXII7rz6JlKCNKufuWIqzNtUN6Sv/8S7teoJJsvBfv57EH1va5E9OxzWsTI7oOpnFMviolevevpKuSzoiq9rfaUK02E7j2p04lqQrnnTGd4KT2RsD4txNWc3gxiCkTP4kubQ9l767bfqEJH+Nh2tYX9DW+xwQbYpKX9E4NrB53RMDAAAAAIApKNb+6Ec/os0pn+vuu++m008/XdycclXfU045hc4///zAdqLSfCVYyfkzn/mMeIC65JJLRNXbXXfdlW6//XbaeuutqVkRD1ZpwpgUTTMKPjqiiBRXxN9NEkW0HogVF2PSw7WOO4+PjYucxwqj6c6ssIMtSmATlb2lwFZIEQ9ZpEpblp8Sg6AuWU10VOk6PdPcp95Y4mJOOS33acwf89sUL2iK6IKUqABf8BOiWLo4njiWVEdsQsRD2nJjIb6mxVdECGxRw6U+lpIjNWSESdISaLdNySK72J8QaZLFcc7PTHZDpk/+SIdran+nvG8BYVRDhIp1aSvHLDN3ba+5Usxy4wvI3jXM1xMh/OvFIPDkjxBH87bCv04UiuzvlIiHnE6ESYq7PuzSTov6SdqXkjedHIWSEhURmLRLH0s6UT/icyBRZE3pJ88tnaealuib1KTAOZdy3eX8Y9Ac98QAAAAAAGAKirVx8EPkunXraN68eZPqvOXqvXfddVfiNr/97W8bXuM2sruWv6YMOm44g+w8fkCrxAo+6cvEtfL8vIf0aspSUy0HW8B5lrz81e2j+GMjneWvahanQ1TMJSylTn7aF9KKEMYS+pvShDFPHOf9JDnYSGPpuo6Y4YsTCUK06tCMd0OqzsP4JqWPJY2cWdXFqJ0Nme7STnOfigzVRFHEE0cpermxmqGaJrDJMZCeoZqWx+v9d5wrXs1QTetv2aYEkZVSI0w853jiues6mdPapBbhyuT09Mc3ZYvCCIyltOtbcjKDnBhKEv3qKyw0luXzISQJ/yk54aqzNvbgtPtbuuKTHP+qKz65TamTf35/J30OeOduUjyLdGmnRWrkdOML4ttUd8NqiL6psRNennpSZq0cHJvJiisb+N6VJ+4feughWrVqFd10002000470de//nXac889aa+99qJmQeeeWAenOia+GhATp/VgpMhtDLYV1/5amZxamSjfqrdfcS612G3Lfychbmhz2JbyJf85yqlV4leAGG9bf8zjbZOawNvmvIltnf3abVvlNy9hWy4EWTDflrfj7ePIFSiXt9mWx2olYds85bw+ltv645vPJyefuK3JfvW25Q+L8jhtO77n/URtq/Y35esFxHGNyI37uczFvuv9jmvExJ7LNXcMR11LMu331XeN0L2PCF+7J+PeYMLE2jvuuIPOPfdcevjhh0Xua6lUElEJX/ziF+ktb3mLzS6BLbpFuMZh+WugmJeGCBX7ZO09pPNX6n5Sl9Mrgk9sNIOGwCaWous4qnLJDjbVnafT33I/kcfmCpFVDQEizTHoC5qJq431l0CnCv+py40Vl7ZW4aRkB5uO8C/+ETpD8nmSJkKJf1IKw0kxq6Qr/EctNw4I/xruvJQJm/r4TnZEp+ZN64rsXoGppGXZ4m+lLKfX6m9/P2SdEeyK9SlFwbSvuRrL8v0+cnNmo3ekkVeqkRHs3nBpOP4143DEP6kFr+SDQlwcjtmEjY6z1r0OJLVJXnMp0yoE2SbxORCVEeyvQNAoVsfnpFZhsITrN99c+xE2KatQ2KWddUWLfJhrUrH2L3/5i4jKmjVrFu2///5icn90dFT8jGMELr/8crr22mvp1cbav36VRqbXxVNJS+f2NHuHE/zvu/9yQewDXKljK5rzmlPq+3zkYnIqQw3b8chZ83In9S48wL8kz1lzOxWqw5H7rRQ7aMPCA/3v57x8LxUr/ZHbVgvttG7hId53Ds3p/j2Vyr2R29byLbRu0b/533eu/QO1jK2P3NbJFWjt4n/3v5+17kFqHe2mOLq3eLv/3zPXP0Rtw2vit118hC+sdmz4K7UPrYrddu2it5BTcN+nGRv/RtMGn4vdlvuhVphGwyPDNLR+JU0feCZ22/ULDqBqaab47+m9T9D0/qfit52/H1Va3Izkaf1PU0ff47Hbbpy3N5Vb54n/bht4lmb2/iN+27lvpLG2Be62g6toVs8jsdv2zNmdRtvdqI/W4Zeoc8PDsdv2de5KI9OXipHXMvIKda7/Y+y2/bN2puEZW4n/Lo2uo9nr7o/ddmDWa2ioY1vx38WxjWKsyfG9LvQWDnbsQEOz3KJ/hXIfzXnl3tj9Ds3YlgY7dxL/na8M0dyX74zddnj6ljQwe1f371ZHad6aW2O3HZm2lAbm7u5+U6vQvNU3x27Lfds/743edzmat+qm2G35Peubv4///dwX/5dyMUI7j4W+rv3872ev/g3la9ECS6XE14iD/O87X7qNCtXo68nLazqod/Gh/jPRzDV3UrEcd42YRr1L5Hmfo5kv3yPev7hrRM8Wb/O/73jl/8S4iLtGbFx6pP/9jO4/UMvIyxTHxuXH+P89fe0D1DK0On5b3q93jZi27iFqHXw+dtveLd7uXyPa1/+FWhPO+74lR1CtOF38d9vGv1Fb35Px+114GA1UitTzysvU3vtPaut9LHbbgUWHULV1rvjvlt4nqH1jfD2jgQUHUKVtvphQbu1/mqZtiD/v++fvQ+X2Re5+B56jGQnnff+8Pak8bQvx36WhF6ljXfx5PzBndxqbsdzddngNdax9IHbbwdmvo9GObcR/F0fW0kzvvI/ctvO1NDJze/HfhdEN1PlKo5lQMjRzRxqetcLdttxHnS/fHXktYYY7tqWhzp3Ff+crgzR7zR2x+x2ZsTUNymtEbZTmrP5N7Laj05fR4Nw3uN/UKjTnxf+N3XasfQkNzK9PbM954Yb4bdsW0kDXvv73s1f9MvEa0b9gf//7zhd/HX+NaJlN/QsP9r+fufqWyGsEw59vfYvrWf4zX7pD9LOK7O98SyfN3+1M//UNj32fKoPR52euOI26dv+c//3GJ35M5f5nYydbF+zxJZpQsfaHP/yhWGK133770cUXX0wLFiygV155ha6//npRqOv73/8+feADHzDdLbBEuBjTluTKJ1PNCuepVe5Ti3Cl5fkpy8Rz2RxsgaXUGqJI7MO+msWZJPiEiq8k5l4mOqo0CydpOGvTMoK14iu0i3DpiLXpBYHUYjc6wkGsWOuown+aO08jt9jPUk5xevJY0sgZTS0KleT29cQVf9vYY8vX3Xk6eZUaRbhix5LiGE0WxzVyRuXf0CjmlcsYF6KVEaxZXMp3HiaO7/o5F7sKQaOPAsK/ZkZw9HWpLvxLB0Vim8QKi6TrkmNw7qaIhzqfAynZvuqy/NhVPurKgcTCcOnRDFKAleduPvShoZNZHJ4gSy7GqF/YM66Anpj801k9ojqQY4V/p6ljED75yU/S3nvvTb/61a/Ee/DTn/7U/xm7al+NQu2mgN1Ao+UR5ft4JwqP3nKl/rCmTGVG7NehSrWst18uOKi4a2Lju7z7jMC2CW1gAu1NKkbID5yVMXI4q0uc8tXkbatlqvFMkLhkpe+3QgWq1srp+62UqZJz21xN2bZaq/h9nNqGaoXK3rYtafutKvtNcop5bZTbFjXaK9uQV8ZG/LZuP+RSt63W3+dqWnsrNFZxJ4WKythI27bg/Ru7rVOjsYp7HsUJGmp75TmXS+lfHi/q+Zm4rTiX6xMtfGbkEvY7om6bcH7yfkfKQ5rnZ41GxurbdiSe9zUaVradkTB+uH3DY4P+99OTtmURTdl2WpIznMW50QH/v9tSxs/w6AA5nljbUi1Ta9J+xwaolnfHQrGWsu3oAFW9+wYea21JbSgP0mitRM5YNXXbobFBKjtue2dURqg9ab9jgzSWc/eWK4/StIRteUyOFtw+zqWcG3wOjXjvh5Oybbky6o+JWnmUOhK3HfO3bUk5R/gaJcdlKaUNYlvv3Cim7rfib1uopGxb422HtK4RvF95bGnXCL5OqeM9iZpTDWzbmXKNULedlXSNqFXFeJd0JFwj+HqinnMznFpkWYbNDWOx9stf/jKdeOKJdNVVVwVe57ysk046ic477zyItZOJeLDyRNaI8SkyVL1Bnroc03PmaDmqNByD8W5I16ErREhNh082d56OY1TNK6UMApsUaVgb0KsCnuZiTRShvId99xBSHGxpIpROES5N4T9tebduNIOaERxfGC4lGzTcplizmDq+k9uTKGhruiF9ITJuZb73volNNc5ddujGxU5oHZvqhoz7sPOLp2lGBSQt8deIZ5HnW1K2sy/UiSGcISNYJ5ZBHJv7riWOJUX4T5xE0sgIFvsxygiOapAi/KdNInmO6MTrkpP93A2I41qFD9NXWCTGMXk/Sxb+9caAdCfL1QOliGOr5/HGN0lOVKQemydq5zMU9jQqnpY0cau+1qTOWo4+uPHGG8WqMK5voMIFaLu7492SU5n5u32WZs50nZUBQu9z1+vPjt9JaNv5u9adKfLhbnBsgDau30Cz586l2UVXRuDfcrpeo4yv0NjK5Wi2t9SRz3NnwWsbVkn4d0O5HM1Rl0Uu2FmJJ2oc053q8sWI/arMCmzL+41/MNzRYNvt1WiDiG1VQWtbdduu1ybud5t8SRzzhvXrafYWu4vzOo6tA/vlNgTPDfX62iG2lff6rxNXTaWxgd/rYIFJ3KvmyHFeR1Sru5PD8Lb+fsW2/6a5LS9fPSRh24Jfu8Ddtu7SDjMjEK9QI1r65vhtlcgEIYYv3lu8Vxs2bKA5c+YE+mx6rkCL/XgFh2jxnrH75W0XqdsuYqdb9Hs3PZenheqy5QX8fkRvPS2Xp67Atq4zj2K2ncfbynNn3o6J285VIjdq83aI3bZdOZfd/SZv26luO3/HhvHFn1MbN2yg2XPm0Myics7N3yHhXM6JMRxsQ/y5sW1e7tchZ57rklRxQuec7n4bt40/l7fKFevnp2iD975E7H65uu3c+rZRLPO3dbxt49uwhVOgnp6NNHv2HKK5Se11aAmfG15sgjNnOyI6xL/+1q/V7v+Ibb1zjsT7dmj9x+E2iPbKc3kFkVN3XodZEtj2NURbxJ/Li3Kh836LN8VuuzB8jViyd+Dn9SdzHsOhWJVF0q3eCG+70N/WodrC3f2xHb7/420XqNeIhbsl7Ld+3ovJNf7ciKGNvPNe7pc/lxO2naNG7UScG/Vt+byP3jY8OvmuYFbg3Ng+dr+87UztbZ3Qec/jsg6bJgZ7Bmnxwi0aVsXNec2pyVFGCrN3PEF72wkRa/km9rjjjov82Xve8x76xS9+MR7tArqkPciqhU60xRUN11GKW0gQ62DTX2qamjOqUTxNR2BTjy1p6XrdwRa9nF57GW3BNCOYUjOCU0URSnlITynCpSv8+/EVaY5B4c5Ly4aUglbMcmPVfZwmsKWIUPVMzwR3nlZGsDvuUzNU05ac+2JWSh/5ol9CxqQ/BvT2FSf4yOJpSYXh/P2kOv71XdqxgrY8Ng2XdlpGcMB9rOM81HB6Jop1mhnBuoKm6652H1waqDpGwn+yu96gYGHCsan5sMWsn01VDaenGj2j4UDXEaJjxfFx/Ywbr8KeesXTUic31dea1Fk7ffp06usLLn2TvPDCCzR3rrt089UG56jpZKmZ5K2Fty0WWqij0EbDLTXqaJ+bHBMCxgWeyB8sDNOMtk7092T1d6lC09vnoL8nqb9HBhyaOW0++nsS+ro8WKPOabh2TwYY25ML9/fYYLd7LxS6N1FzcdMw2VYH47skLrrAeV9R8OtvfGP8jAGYANIe9rwHNLGppsAWWzfJfwDlZzQNITJuX4EMvowONvlgquFiFUJGmnCQlAuo/J1Y96l0VBksf00Uor2Hax0RKn25cVrNsxS3r43wnyTU+Uugk9ok+zvOfapXpCggsKXkXiZ2klZGcN3tnXxsyhiIEf59d16aCMXbpAhsqcXTGNnglOJpOu5T6faNW0rtaGaoJu3HbUw9r1THWRu7vFu3jzRyXX1nbYrwX//bSccmi0JprLCIa5OjXLu1j42y5U17DY6Pw/EmyNIKHwZiVVI+B1InENImbNQxQHqRMZH9LV18yZMasr1JmbXBQnxxu6lf3BMLe2pM/qSOAfWDr0mdtVxb4Stf+QqtX78+0IfDw8OiwBhHegEAAAAAALApMXbWXnDBBcJBOzIyQkceeSR1dXUJty1X0v3JT35CP//5z8XyDwkvAwETR+oSUflgpfGQniqwBYSapF0FHZoNVe5lwauUpdQ6Djb5hKuTD+v+7Xj3UpqLVUdgC8YppDmqkjOCA+48DZdu0kO6rsuLEo9NT/jXLcAk3b46QrTcV4MDzxM0tQuMpWRDun8z5dg0lhvzX0h11uZSinApjmjdY0sVDzUdg4kFxjwxqyVJp8kFCzA17kctnqaxJDshb1q6tEUUSj5bhEl9TCYcmzqpkeIaThSz1AiTBOHfJNs5bjIiUDxPM9s5sb91BU0NV7xelrZXhCsuQ1VrokUv6kfnupSWy+3mInsFz1JWDsg26USYZIqM0Z7YShnf/j1FPTal2bjoooto3333pe22244OPPBA8Vn8+c9/nh577DHx3yzkAgAAAAAA0FRiLRdlYM4991yRXyuRy6P32adeDZIJ54GBcSalCJf/gCaKJmUT2NTiQjqOKtcNGb+MMv1h33P7auRVJj40qktE4wM003MBxd9JcWd5/e0uy6dM/S0FHK4jkdjfsmBQzPJXY6HGy21pbFB9/1rCf9JyY295t7YbMkGo0Y1BSBPYtIqn6WQEs2ju/r9GRnDCZISuWO+1SYhiaYJPqjheF3wiI0w0i6eJY0vKmg24tPPpDnTuoyQnMwtjaU59f1/JGcHaxdO4ME3adSktLkaK47FL1/Uza33xMGpXXiRN2moGtWCl1ljSjgpoLMIVdOhmmCDzrgFyWx1XfJI4Xm+TxkRiwvj2r0tpYzJpwibk0taZtEmeaEkvnqbeU0SNAf86mVCobnNnyZIl9Mgjj9Dll19Od955J22zzTbCZfve976XzjjjDJgMAAAAAADAJsdYrL366quTi3iAyUVn6brWUmrP6ZngYNNdJhzIiE3L89MUIOIyVKXVM9FZq1a5T811jSg8FCewxS5dTxch68eW5PJyX3ddowmHJ489yempIdSkFeEKVBNPLAqVng8r2irF8bSxJMWjBOE/vcCYKo7bF08LCGxxY8lfcp7urK0LPlHtUYToNEFbCqNpgo8Q/kmrCBePgWIuPkM1WYTi/eTc4llxwqiOS1v+LG7iR3Fppwr2KTEIfoSJhuNf7CclMkZsm/JZmZ4RrB/zkZgRLFdFaDp0+X/jx1J9X2muUVKulaUEh26rpuM/ehJJeS1NzJSu+NjPAdelrZU3LWMQMk1IarjiTcdSwrHpF9BLXmGhbtesdHZ2CtMBfwEAAAAAAND0Yu2JJ544MS0BdogHtIRcV3VJdqJTSFlGm1KASasyuUaOLj80ljScnryUupLgXnLbnyawpYm16lJT0hLY4jJr9Zb31x/2YwUfT8Bx3W7pTma55LxxubGBUJPoGtYU/r0+cqvcp7nzUsTx1GI3ruDDQl1RM1JjLEPxNHdf3t/RENlTi6clCGwB4V/HWZug16vnbuJYUopwueJoxNJ1nUxmtZhTgsDm5memTbR4x5AUFaDT32pOdFpxQJ0IE42JlsSCV2JfKWOJhX+/KFT6tTLWyVzVdHpqZARLR3l6kbm66Bd1rVQduslOfTkhGSMgK8K/TgyC/J34HF13NUN6f3uO2NgJSSfd7a0WdEsZS/rXpbjCnnrF09Jz8DVy4puQP/zhD/T444/TfvvtRzvsEF+dHAAAAAAAgM1SrAWbGWp2XtKy/LRnK+8hPanKve/O03m4Tsjz0y10IgVYFg7GIoVob615mjsv4GCLF6L9JaIZBDbtpesa2ZByaXTisnyxr7TlxnrLu1OLcOmKWcrfjxPHtSqch5dSx40B1qIoR21a2aeUrXiadkawm6Gqsyy/kDlDVXXDxrdJ3VbLWcttKjS2SfyT6mROzj8OCKMarkr3dzQc/6mTSMkZwePhPJTXEnXbOHwBLkWo0y0KlUvKdfUzVEkzIzhmm0D+Mdm7fdUMVZ1M5tiVGp4wLk5N3Um75PPEyBEbu+rDFeu1Ju1q6QXGUj8HFOd4xDSLQfE0d+on7ZrbzM7a448/nlpbW+mHP/yh+P7KK6+k0047Tfw3v37zzTfTwQcfvIlbCQAAAAAAXs0YWyPK5TJ99atfpd13310UF5s5c2bDF5g8ApED47AsP3FJbiA/MblNSW5IKwdbgniYWjzN21daNqQUxhJPCtWdF+sadkXfrEWh/CflNIEtVRhzhQMTASJJ+K+lNYmdtSluSN3cS99Vl5DrqjeW0iYQNIunaWQEy30JV51OAabYIlwGGao8LjUKjKUVBEovwqUrsqbFs3iRAzoOXRlhEhsVoE4iUaaMYHdZfprbW3XXpwj/qf0ddENGtonHh4bAxn8rVrBXC2flNB3Rsedu/bqUeHw6ua46E2Qp7nr18yRVP0yZtAtMkOhcl1KczOmFD1OOTQxIz1mb8jlQL+wZNyGlv+ojyRXvTAFn7X333UeHH364//2FF15Ip5xyCvX19dExxxyDaAQAAAAAANB8zlp2H/zkJz+ht7/97fRv//Zv1NLSMjEtA3poiCL+8tfUJfDer6SIIlIYyJbnp5OjqzjYUoun6Yki7GBKiwpIdZ55sxyRVcB94SDNCZfTywhWYg5Sjy1xSa5mhXONZfm6wqh6DHHH5i7LTzg4IRx4QmRcm4SLNd15WBdFIn7uF6pLF/6lG9Kt+N643FgeG59zqQXGEotw6Weo+uJKrEvbez1VzKpHKkQ1SRZPSxWQ/Sr3DlWyuLS9NsnfSZ9ESpxF0hoDOuJh4vVNRGoo22pPtkVkBCsTLamFD5NWRlQNncwpGcFq2+P35V2XYicj9Nz1qiM69vPEnyBLbpJaQG98ctnjJhI9t29KPIvqGo7sI8fEpR10fEdlBIt/NK7f6n4aj02+/83rrF27di0tWrRI/Pc///lPWrVqFX384x+nGTNm0AknnEDvete7NnUTAQAAAADAqxxjsfbGG28UFXTlkjGwiUlxVWo/oClV7uPcpzoVzsN5frEFxvwcxuwOttSHfUVgY9EvWqytF7tJLTCWJI7LQj7ED+kJ7Qks7Y1bRqvnqKrn38Y7kI0f0pPyeDWyQdMqk0vh39ER/r1l+UmO2NQibKrAlir8p0UF1EWoqOXGuhmqaUW4AsJ/ijAqdsf7ict1la+nCP+pjm9ZPC3Nnee1V6t4Worml1Y4yR9LabEqqRnBeuM7VfiX7dFx1ipL18U1Lvx3NSdaAu7TqFPOUYR/Dceo+NMJBQt1r0t+1mziJBJly3UNCP/jM5bSV6LoZWmzu74l8TMuZdJO2Xd6Zm16XIRu8bRUV7y3XbMyd+5cev7550U+7W233SaE25122kn8rFqt+rnMAAAAAAAANI1Yy86DrbfeemJaA8xRinDFPqDxQ5eBwBbnOtJdjhlYTp+SVVhMa1OiQ9d1NqY+WIfyb7mfwkKqv5Ray8GWUtDNE31bNB72Y51wXh+JP5mmZikuxrRoBl2H5liaOK7phkyLQUgTs3REEbG/VNew0kdOhuJp3r6SMoJ1HcjqkvMkUSQ1s1adaIkR/uvO2rSIh5QsZYMMVSFCZY1nUcdSynUp/dzVEdjcaIa0pevjkserEWFilOuaNBnhO2tT3jdlfKSdu47JpF3GeBZ/0i7ymqtMtBjETkQhzx8nNZddZrxHt0lX+K+///FZ2rrxLGmFPcW41CyeJtqW8LnrbtC8zlqOQPjMZz5Djz76KP3oRz+i973vff7P/vGPf9BWW221SdsHAAAAAACAsTXiU5/6FF1xxRXCfQA2Pa57KT6rMLgkO21fUmDLvvw1yZmjLlvWWUrtZnGmFZbRe0iPLcCjViZPcWgmCmyq6KvxsC/+dtTBGTykBwS2xEzHtId0pQhXrIs1PWdUtMkX/uPGkvfe6ezHS+hIcmjqOOHEPylZrCbCf6wIpWSo6iw5TyrEV3d7pwt1gsixpLjzdIRoueQ8tp88UTtTf+vlZwbdkDROy/JjlvgbFE/zheik+Aqda67q9o2bjNAsCpUosiuO/6T9qBnBlJKhqiUeapxzWoJm2ueJHxWR3CRfiIw554LO2pT9yM/dGAe6+EcnDidx9Ug9viRNiNbJ5TbJnJcTmw2HJvedZmPejLnkkkvoLW95i3DVHnHEEYGM2ptuuklEfAEAAAAAANBUztqPfexj9NJLL9E222xDb37zm6mzszPwc37Q+/rXvz6ebQRJ6BYVMXAMJhVfUbdLe9gTAluSCJUm1KS4/BwTgS1lCbRc8qtTXIhSCsLouIbVjOA4sdZve+pDekpGsKZQk/awHxTZsy031nZneW2Ki0GQbjHtpesJ+ZliWX49VUArIzhSzNDtp9S8aT3hP1CEq5Ys/Ke+cWoRrrioACM3JGWPMJGF2GrJGcGpb1zq8m5d8TBNFFOKFabpWfIaF3OtVB3/aVEYsk3lBIemk9XJrDr+dSbtdJzjJpEDqYX4SDN2guJd8RrF09RVCJFtqiorWjQLe0bFTvgTbXzt1ohBSHWOa04iycKekePbL1bYvDEIs2bNoquvvjq2+BgAAAAAAABNJ9b+/Oc/F64Evpm/++67GwqMQaydZDSz84R4qOkYjLKwuSKNF4OQKoq4fyexcJKOUCMEVnaw1RIcbJ5rOO25MfVB1muTUhzLpgiX9lLqwNL1mP6Wom9qDEJ9uXGkNqoWF9Ku3k4Zhf/cuEZquO5q+2gGN7M2Pr7CZFl+ICM4Zsm5+Neg6FlUEa7AUuossRMmwr9ShCuuWJ34J2V81/soYXm/l6GaN8h1jS3C5bU9vY+SxoB5Ma/IjGA5OaLjhgxk1ka1SelvzYzgSDO7ruM/baLFO0/c7TTPk0RRW8OprxbzSrh227jiS7Eubb3zLS1PXSeexZ+0S3Vpa7Qp4ZwLOpAzuOI1C54BAAAAAAAAJlGs/exnP0vHHHMMfe9736OZM2dm+NNgXJAPxLWUjEmd5cbSZZQm+Gg4dEXcbGzGoPuQnvZwre1gMxCz0gS2HItVmoJmOYMQHSzCFSeKaD6ke+JRkgNZr8J5chEuI+E/oaCbKvynBrF4rtG4mA9ZNMcVs5IaJCM1YgQ2peBVmpiluhij3b71MZAsaCY7dFXhP/Xc9cZAVHFAVfRNFepSHOjagn1gEokSozmKBhEmkUW45Lmr6zyU+7F1HnruY/c4oq8lWsUKNTKC645/jYmWhGgG3/FP2YV/36StMWmXNEGmuuLTxMPUzwE+PiGOk57wL8ZA0uoRvc+4pNgJuepD59gSXfF+scLkJrmfTVywMOac82YozAroOfYTbZs5v/vd78R97FNPPUUjIyMNP//b3/62SdoFAAAAAAAAY3y3vWHDBjr11FMh1G4mqBmqcU44KYroxiAIUST8ACqKFHmbaTlr4/P85FLqVOehL0ImC2xccbuQ8eFaily+YB3bJCn6JgnRegKynxGcGl+RuBtvGXySKKK73DitCJeB8J+Ux6q489JiEHzHYIKArFPMS1XNYsVx3WX5GhnBuq7hpCJc2hmqjLdBZISJFP51Yia9Y4s9d/k81M3R1cnPTIvmUAS2KMFeiP7S8W9SGC6hcFLqGMgpbsgEQVMvQ1Uj/1YzUoM0CuilFZoMOGtTxPrUSQ3fERtXjLF+bMmRMck5yvL65gqjyU0K5N8mxE6krh7xxn5cYc/AeZKUESxmNXOxMQiBXHadOJyUyBid63ewsGfEBrUaDZWr9FzvKK0das7aBbfffjsddNBBtG7dOvrzn/9MS5cupXnz5tGTTz5Jg4OD9IY3vGFTNxEAAAAAALzKMRZruRjDAw88MDGtAeakuGDcBzRZEIj0l4iG96Us7U4teJWW5+c9NFZz+eQ2KQ62KCec6xjVKHbki9rxUQG+yKWVexlfhEvsRyfTU/lbcQKb64TTf0iPdXoqBa+Si54lL3+VFeX1BB+5rwijtuLOyxm4WGOFf02BLZcksAk3pOMK/1kzguX+NeNCsmaoBiNMkgS2vJZ4KPYnfi1B8NFx1qYVKtMRfdMKTKljScfpmZhZ67q0dYrV+W7IqKpnvnjI/a2/nD5JPJT9qZMRHF34UBFZdd2ntcbrSeD918mb9sZA0sqINJFVXWGRep6kju/4fbnF0+qZtWl9lDSpwVFC2ueuHLcJ7mPxWakRzZA4aacUT0vcVeo1t0blqkPrhio0UI5Sczd/zjnnHPrEJz5Bv/nNb8T35513Ht1zzz3CZVsqlYSQCwAAAAAAQFPFIJx88sl02mmn0dDQEB1yyCENBcaY17/+9ePVPpCG58zJO7WEQid6D3uB4iuhPL9AoRMDASKuwrXWcmPFwRZpX1KzWMfJVSeXk2cW2AyWrkdnBMsMVc2HdI2Ih/QK52lFuOrCf+rSdWW5caPAJiMH9CrKJ0ZqKGMgraBb0nJjbdE3lBGcVGBMy1nrnW/xkxFmYq27BD9UhMufHNEQ/gt6gk+qO09zwkbXoVkfl+H91B3/6WJtWkawXrG6QIRJ3ESLmETScDIrbaplGEvpGcHqeaKxLyX/NtAV3rHpOnQTRb+A+zTdpe3++eRjS80/VjKwGx3/9eJp+bRz1/vcFbEqMZ+7ZBjREzkADCds3DUtMROJSiG+tDx10aw4kV1ObOVyVEob35spjz/+OJ1//vnifebzmd20zPLly+lLX/qS+Pp//+//bepmAgAAAACAVzHGYu2//du/iX+/+tWvii9VFJAiQbXanEvjmhLpgklaJq79sKcKkXECxDhEDvD40HpI13Ow6YiHvusoop/cwkIGzlqNwjJajsGkjOCqWXxFPb4gQfDhsaJbhCvFDZllubF0RLsu1uT9+MJBStGctGzIYEZw8vtWTHNEKxnBDc5D0UEyL2R8BDYtYczrSHcJdFAkrGeoajhrxbElFOHSFv69ZeIxESb1zFq9c1fH8V9I7e+E61vDtZI0I0xiJlo0nZ5+TnRS3jRjkA8bK/pqOv59sda7VgbeH6NrrjL5lxAXkl5gzL12q78TQIq+GpEacl+FqPgCNZ4ltahjcm61L2obRMbEHpv2hGT9GpA00ZJajdP7nMglFfbUjfnYTGlra6NarSaOc9GiRfTMM8/QfvvtJ37W0dFBq1at2tRNBAAAAAAAr3KMxdp777038ecrV67M0h5giF98J8ExqrucXhWPolxHpCkcpeb5aVbv1nOwaS5/VarcN/RTYFn+OAhshtmQMiM4IDb6D8QcFaHxkJ6U6aj7kK4W4UrJ0dUSxxMENpMl2dJ9Opbk9DQQ/WJzRr2xVNKJ1Ihzn4psZ8eiABPFu/M03OzqWOJxWfCnOcyWiasZ2Il5vCnCv5xAcH8nZiyJ8yQ9KkC2KcrFGHD8a00iJWcE668eSBL+1cgBg4mWqGX53sDQcqBrOP5NhP/INknhPy1SJTxBFtUkk+Jpyt+Pc8XrZNYGinAlfA4UdPs79jPOIsIkUmX3zpO83phMK+zpbmYwqRHnQPcnEqkped3rXifyaQ899FA6+OCDhcuWM2s5AuHzn/887bzzzpu6iQAAAAAA4FWOsVi7//77N7zGRRquvfZauuaaa+jBBx+kk046abzaB9LwsjjjinDJYl56y7vzqQKbo+UYrQts5QSBTSyD13T7xjnYpLiivSw/LvfSX0ptIkJS8nL61CXnwTbl1b8tncz5dGdt2pJz7WX5yt+PKnbjL1sWTc9YYEy3j2Sxm5RMT5OiZ5FKhuoYzRKpIVza3t8zyKxNcueZ5F4KZ62w1obaZHNsCWJtqvDvOUbdP5zgGNQYS7LAVKRjUM2t1nboxsWF1B3/uteTSIHNdzLrOT0pLsJEWZafHqmRHocjdmmYERx17upP2CSPJdU1mpiGoxThinXFe2OgRTNyIGosmUShyCJchVpS/rHu50DwOqAK/DInXH98JxX2lC7t1BmbxHiW+sSWxkTiZgrn1T777LPivy+44AJ629veRm9/+9vF91tssQXddNNNm7iFAAAAAADg1Y6xWCvhzFq+oWWB9q677qJKpUK77rorXX755ePbQqAvsCVUua9mrHJfL3Si6ayVTs8EgS21wBijsXRdt02xbkhfPExfSp1add1g2ap0OMl9hTOC68dG+gXGEvpJY/2zv9w4Zi2152DTydH1JhEilxvXJxBSnXBC+E/Ph9WOZhiPzNqkjGDFnaeXx+sJbHHFhTSFsUBxwCiBzctQTXce1s+TuLxK9+9pnG/yz0dGmKhuX4MJkpic0arWfpIjTKR73yQyhhIzgjWdngnCaMPfi21Pet60GAO6DuSEvGmyeN/KkZNI9eiZRJe21yb3d9LGku7kZkbh35uQjFvRYiL8y88BuaIhPGlH/oQk6X1+R0zaqfEsOpN2/rmbMNGiFWOzmcKFciVLliyhhx9+mJ5++mkaHh6mHXfckVpaWjZp+wAAAAAAADASazmL9rbbbhMC7f/+7/8KwXbhwoVCqP35z39Oxx57LHp0svFcMIIY9xLLGeyC0XJCxS3xVx/Sszh0TSqcpy0RFcXT9HN0RRZn3WSWINQ51gJbsNgNGRRiy7IkWxGiIx7SpSiSKrClFOEKCNFaQk20YC9FyNTcU7Gfen5mlAjljyUtwcf7eZzgI8UsE9Ev3CRlibCOazzJEW26nN4/d0OHF3DnaS0TTy7CJUgRooMRJtHiuG6GqmyTiAsJ70px/KcL2p5LO6a/azU3a103J5qUomeBjODAuZt2bLn4jGDF8a8TqTEhGcGRbfKW5Wu5T73IgSSnZ1pRR/XaFXnu6scgyJUT/L9xrmGTqJ/4zzh9N3suYdJOndhKdQ2nrR6Rf09j0k5+EERHxnB/O02dWRs1VrfbbrtN3QwAAAAAAADMxNo//OEPQqC97rrrROTB3LlzRaXc448/nl772teK71m0BZsARfCMFkXkkkUyEtgaxUNP9NUq4qK3LD91KXXoIT3Owaa71DTWVSeW98uHz2SxVhXYYsVDFkx0l+UL8SiiereylLpkVIAp9DPljUwTfNKLcJmK4zH9rVtYSHGLpS3tTRVqFZFCVoIPZgQbFvKJyQh233/HaJl4rMAmx5JpRnB4LHnfuwXG9ByjUWPJyJ0XOHczZqimFqvTj3ioTyJF/Lyq309hV3xDRrAcAxqTUXEuVnkOijGp5dJOE9jSC/H5bRLZp43O8XpGtEZeqXdsXMwr0aWtEXzqj7eE88Thzy7NiZboSA0L13Dc54BJYU8pssYVPTOIMIl3Dbuir/r30o5NHIeT8Z5iM4Yza2+44QZ68cUXaWRkJPAz/jy56qqrNlnbAAAAAAAA0BJruUou37weeOCBdMYZZ9Bhhx1GxaL7q729vejFTUh6np+BIzZhKbVfTVyj0Ima5xdlhPILnehUJ1HcQo0ONoM8P8+9lVRgTCf7NlVgMxH9khzIJg/7iuAzFrVMXL6k098JRbiChWUyiIfe0nHdGATeUaw7T3HWplF3sFFkQTcT8TB2MsJ3w2pGRcjjSBCidZflu8uyI3ImfeFfJwYhoQiXmqFqcO7GFQc0FcbiBLb6NYAyZQSrjv806kW4qDEjOOBAT2uTIkTHuCFN8ngTx5Lmsnw5aSf6O258k2bhwwThv16sTkPw87PLU4R/zdUMbnwBxRZP05tAiHFEh7K08xnGgLzmcr67UWHPcJuUnPi0qB+dwp5il2JSg5qSn/70p6K2QltbGy1fvrwh9kBn8g8AAAAAAIBNLtZyZdy///3v9H//939UKBSEu/aoo46ijo6OCW0c0MMXThKq3LtOT7Kvcu8tN9Zy+SXk+YmHdPngqPGkV3ewUYyDTVdgUyqTxzwQC9eZplvM/b2IpdQGUQHJGcEGBWp84SAiQ1V5SC+aONgSM4LThZqAazhKqNEVV9Q+iokK0BX+w65RNQOy7hbT7O80kV2YuXUcupTsGNR0IEvBJ1pgU9x5mmJW5FgyWZavjqUod54i2OtOIokYhISJFq34ipSMYPF3TIT/KFFbGd9aGcEpWcNaebxqRnDSWDJ1xUe2yVuWrzkZEZnrqvS/lks7xRWvL9jXJyOSiqfpT0YlT9rx30t3+yqrPmImtrSuuQmFPdVinKnHphk70cwxCOeddx4dc8wxdPXVV9O0adM2dXMAAAAAAABoQMMeRfToo4/SP/7xDzrzzDPpX//6F5144oki9oAzan/1q1/BhbCp8Z21SQ/pek4/8U/UsnwlOy9Tnp+yXz1RRHHDNQiRZq7heFFEyc80ENjilhvLNmk7qiJdjLxvT6jJ2z/sBx7SdaICkopwKc6zTMvyfQFZZ9mystw4wZ2nFakRWG4c72TWOrbc+BTi8wW2yKJn+sXTAhnB4X5SMlR1l4nHxoV4wn/eZCx5glOwUSaTEW5/RzlrXceonuiblhFsItYGl5xHL8vXE9njJ2xMVkWobsg4cVzsy6RNiedJutNTiIfe+xYVhWLi0lZzXWuR129HL+Ihp9ffuiss0j539VYzaBZ0y1LYUzlPUo/Na5M4jrjVDLrjezPlpZdeolNPPRVCLQAAAAAAaG6xlnnNa15DF1xwAa1cuZJ+//vfC8GWnbb8L/P1r3+dfve7301kW4Gm68jW6ZksHJhlevoCW4x7SbQ3ZyiwRe7LzdE1KpoTU6RI94HYd9YmiCLSwZWeoxuTEawIo1pL1xMya7UdjGJf3jYp7jwdB7L4J255tydopqdXqMuN49152k7PXJyDTSmaY7Sc3n4sBTOC4/vb0XLn1d2n0f3tjQGt/o6pKK8K/waRGrIIVwAT8VBcJ7hQVWNxQNXxr+3QjXBDCjFZOXe1jy0pVkW3v2P6yGRZvrsvb9Iuwempf87FCNFG0TNyWX7U5J/n0tYoxJeW61qPCtBwjqcV4dIUfQMZwQmrELSznRMymd1zjrRXtMRm1mpmFqvtTp4Abl5n7Zvf/GZhQAAAAAAAAKCpYxDC7LvvvuLrG9/4Bt1+++3085//XDhsf/nLX4r8LxZ0weQRXN7tUF55Yq278/QqnNcdmmTt0MylLcs3WEotH4rdzNKINnmOWL2H6+iiUCb5melV7uVDusZTrE6OrmmV+xhnlpaYpQr/ntCu9qtj7D71hOgYZ607lsh+ubGyLF/PDZk8GSHjQoomGcGxTri8mcCW4KzVK8RXd3rG9rdmrmu88O8YufPSi3DpiofJbkh5npQ0J6MiBTbP6au2O7lNyXnTvvCvM9ESd600uAYEMoIjDP/qJFK2ZfmO9rL8pGJesj18vun1d8JqDSnY605s+cJohDhucn0LHUt4X3K7VEQ/JRT21F3RkpSlbXJsSn/nIo6tVqu6/4oCY9Q0bNiwwf9vNh5wkVzOrD300EOps7OzYfs5c+ZMcgsBAAAAAADIKNZKOL/2iCOOEF/Dw8NCrGXhFkwuYfdpKdYFo7PEP17Q9PMTMyztDWSxGrjz4ordkGaObuBhP8q9xK9z8TSNJiUJbP7TdqGQvh9vmXBcP4nd6QrRCZED/JLrOtN3VEnxKCD8K5XgtSrKxyztVTNrdR2j4u+G+1t+r+vOC4iHwZ/J91Krn9TJiJic0Vpes1K6dHtGFfLx+lt9D+yKcKkFmDLmleqOSfW6JJfBF6KvS7pLzgtxy/J1C2fx5IjcJEL4l2qtbgyCnCBpjB5xY1X0+jvJoatMtBicuzknm/Cf5tImk6JnMiM4PLyVzwE98VBx+8YVv9TM9qVxiBxwJ+3cbcIRD8Kl7bVRb0JSjoGI64kUtXPZCnsG+shA+I+atPPjh3SE/82IefPmBVa78Pv0kY98JHYFTLXqitIAAAAAAAA0nVir0t7eTu95z3vEF5hcAlXuo/ITDXIBY505hnl+scVuDJYIq23KJbghtQvLpD2ka+a61qvcU2zxtFy6VptcPMsk+zTBdaYWTzNxeso2BYR/b996y/JTnHDcV1oFr+rLjSlG+HeL52k6axMcyPrL6ZMmIwwK8SnnpTMOGapi28j4gnretFb2rSewVWIcjNoCmy/WNopQUnh3Yyd0XNoxBQtNCicpbshaWND0jk1spu3STpjYMsitTnZ7s/Cve+4GM4IDIpSp8M/nQZLjX1wGDSZsIsVx6T7Wu+bGnnNqdrlGxENcES7/84Ry1KKjQcprTsxnnPh7erN/KdclR8+prxT2bDh3TYqwBVzxJPbVEjFpp7V6ZDOCi4mlRhMBAAAAAAAw1cRasOkQD4QxriOT7LzEnFGTXFfPBRW5RNR7SNcVD+Uy4ShXnVmFcy8qoJaSMZnP4GALVDjXUGvVgm6ZHGz1KveRxXdMji3ghgz+zJFOI+33LdrFKnfsjoG0/TSKBD5V0zze+nLjBtGPj810uXFSkSLKJrAJ8dbbl965G1+Eyx9LGrETqsDW4BgVjkF94V9MRvgiFMWfu6nZzvXl9JGxE5rXk8QIE2PHf0JOtLxWavW3EmHSMCYN4isaVlgQFXPREy2p+0kY39I1bJKBzts3TEYYiof+xFbU54BBHm9g9UjMZ6X+xJbX8AbHvzs5oj1JKrLLkwsWasUYKYU9oz4H6hNbOp8DuXhXvO/Sbi7hU9ZXAAAAAAAAoBmAWDsVSHy4NqlKnVzl3vghPaoIlyqKGBS8ihbYVBFKT/CJch/7xbxyOWrJ4mAzdVQVpMBWixSiZe6lVkawJ2REOqoMckbVAlON+3KMnZ5pOaM6S3tji92YCNopbZJilpboFyjCRbFubx13nuxL18WoCGxeH7k/1Cye5gvRZJ+h6hcrJKpEieO+EJ1+bInFnKQbUiNnVPZ3lLPWdqIlLNa61ze9Imw6RaGkqG0UYZLhPFGPTe5Lnu+u8O8er64Q7e4nPkdXyzmuTNo1FHRTney6kRpx/e1NIumO7zRXvOlYaohnkYUBhcBqeK2MEZC1RG0Rq5OjPEV8nsjxndft70Ly+NZ1oG9mPPbYY3TllVfSs88+S0uWLKFjjjmGDjnkkE3dLAAAAAAAABpovrttEL8sO+Q6MnbnKQ62SuIycbJ2sBkJrOLY4h+u5UOyrsDmHlvUg6y6jDZnLLBZVzjPJ1S555gA3Urw/vLXKFHEsHK3ImY0OCuVIkXpx5bshJPHptUmmQ2ZGKmh977FTkZ4go+jMy6TCl6ZONBDQntgX0rxNO1CfLHLxJVIDY1MT3+TpP7WPLa6uzp+Eil1abIXORCZWav2t9Zy+vrEStSxGTn+E/pb/Ksb8xHn0FXOE73YCXebBne1ofDvu+Ij43AU4V8zeiZ+hYW+Az3gim9waTuB+AadNkU60L3iafoxH1KJdifE/PYYnifJxS8VR2zqpJ2SW51QYEx3krR+/a6/LI5TvtBkYu19991Hu+22G11xxRX00EMP0VVXXUVvectbhHgLAAAAAADA5kZz3W2DRAeTECLVhzQh+OmLtaqDLfzM6D+kay+jjFtuXHceagmaqqMqZim1k9csVCVcRzFFoeQyWtPlxqo4riyB16lwniwcqMvESVtgi4wKMMlQVcQjVbBX3XlaxyZdXmnLjQ3cp74oE85i1RZ84otwqbmX2dx5prETinNc3Zd8HzWKufltysW4Ib3+181QlUSJ43X3qW5/e9mncY5/43iWpMJJ6buqu7Qpm+M/5hog9q0UhUoXNMd5WX6UOG4s/NfHZCXimiuv31pFHWWsR5xL21AcTxpLurnscbETARerrvvUjwwJ7kcUrDS4LlHsdUmOb43M2nyCK17Jrdb5HFDPucDErVccUvwdnXN3M+Kcc86hFStW0HPPPUcvv/wyrV+/no488kj6/Oc/v6mbBgAAAAAAQAPNdbcNEgQ2z6FZy1LhvO5giyoupB2D4O3LbUP80t6iscAW7RrVzvQUD5+NzlopQrGrsmix3NhWGA3kuiYsN9Z9SFfFwqiHdG1BUxYXinHnmcQgRLq02cGmuyxffX8bIjXMxKzEIlxS+NdyerrCf2wBJi9DVc+dF73c2C9UxuejlgrpCWyUUBhMK3Kg7k4Mj6XA0vUMsROqO093Ein+PDFrkxy7uVow39kXxTSvAX6WdkI8i5hE0miPuL5FFOEydmjGTSLUzIR/2abETGbDVQhRTmaj/STETtSPz+RzIFr4d88TjXzY8OdAQBw37CMlJ7qSKZe9Xowx0sls64oPjyWnOcXav//97/TFL36Rli5dKr6fOXMmXXrppbRhwwZatWrVpm4eAAAAAAAAAZrrbhtEoy7LD4iHdYFNdyk1TXSeX6AYjIGgGZUPaiL4JFSmVwUfY7dvyMFmVOE8Hy+w1R1VOhEPisCW8SE9kDMacGnX3Xm6DrZ4wafuzjMSfELLjV0RUn/ZckBgi3Hn5U0iHng/cf2tHfMR4/b1CmeZFIaLWwKtZqhmcsUbuCrD526DO086/rWynZWxFOeG1I4KiLnGKdc3vQiT+hhoOHfl9zk94V9sIYzr8cvyjUS/sDheNRT+E4RofXQphAABAABJREFUfxLJIL5AtKFhos09tvGMnTAeSzETW1UdF2tS7ITiGtY6TzxXfEOsjuhumcdLWhnBcbETdSHawhXfcM31NmmyGIR169bRFltsEXhNCrf8MwAAAAAAADYnmutuG6QWBgvkjCoCRFFXYIutKG/nYMvXgm0KFM7SGX1q4aQ4UURv/XPdKRSRo2uUe5kgsNUFbY0mqUXPGgQ2M3eW/wcTHtK1hAPup6jl3cp+9SIecql5pbqZtaqDLbjcuF6ZXm8/MZEDxi5tJSogqhK8qYMtRTzUzXZ2l9M3xiA43lp23eJZ/vFlLOgWcGhGOA/FNhmXiUsBX3eCRI7dBhFKOd9Ml4mHRVbHE9j8TNO0/YyTG9J3fIed44bCf6CoY1KhSYPPgQgVUjk2MoidCI5vcZ00Ef5TXPFumwyctRHuU9M+qscXJBTi0xjfgdiJmNUj2uJ4zKSGdNe7x9Z8t4+pkycAAAAAAABsJhQ3dQPAOBBTPEutcK6deykfGmPceaZuSPmwl/cL+3gCm6bDJ+BijMlQ1XVUUUqxG5NsyMg2GbuX6sJBo7NWqXBuUuU+qnCS95CuuwQ6KiM48JBu4tKOKgqlOpl1RNZQPqh8j1S3t7aDLcYNaVQ0R1luHM51VTM99QW2iAxNU3deQtEzKShri9rSWVvL7s6jyEmNujtPV2Bz848jHOhehqZ+USh1LEWcJ3n9yRE5GdF47hpMInnvW3J/64mHrMSPl/Cf5mI1XWHBbeAJKf8apIzvklHsRCiXXRlLpq74hlxXfyIxrz8Goq4ngVUo6bupF790aDTONawpjMa74g0zmdUVLQ0xCKrwH17usnlz4IEHRo6T/fbbL/A6j7Xe3t5Jbh0AAAAAAAB1INZOAeoV5UNL/JXcU13BJ7HQiYEoIpdISlddKdQmo2X5nts3+EBsWOhEEUUac3TdNjmGDrYGgc1Q9E0S2KTg41YBpwxiraljMCYjuOEhPUMRLhaiLdx5cYWThOBjmhEcWJVvuCw/QWAzztEVAlujc1y0x2gsJSzvNinEp55PnmvVd6N5LkYTd15c7qX7vpGW8K9meoYd6FaFqqLckMb78c7dhEJVOY0MVdG38tyNKArljgFN8VC64sN5rKYRNvJ9i5hokZMTppN2fD1RxVohRBsUB4yNnVCKp+k6mRPFcTkuM7nivckok8iBmCJzfht1IwcSXPEmgn2a49+9BlDTFRgDAAAAAACgWWhKsfbXv/61qOD75JNP0rJly+iss86ik046KfF3uALwVltt1fD6nnvuSQ8++CA1NbHFQMyW5asOtlixloUlA0eVWJIb87DXYuryihBGxSaaBZjqhZMa8xNJPoDqrJIsxAgHlhXOkx7SXeHEZLlxSGAzbZMqsAUiB5SHdO2CQHK5MUUK0brL8uVy46hsSPFPLkdtJkvXo9xiarszCWxKzIexizG6KJhupIbbRyHnoWnEQ9h96hAVc5YTLUKslCKU0h5DwU92QFSV+0Aer8G+oq6VRtm3SpzCWNiBbiL8qxMtnpu+3ibZ3xp5pSFXfKUhKsBAYFNjECLEcbFPC1c8t6ko/756zc0SO+GNbUdT+FdjJxoygv025fWjMPjvhgR7f0VL3jxyoDH/2NJZG1WM0yhvWpm4zVA8bXMCYi0AAAAAAGgmmk6sve++++ioo46iU045hb72ta/RPffcQyeffDJ1dHTQMccck/r7F1xwgVgKJ+Hfa3qE4hUjihhFDih5pXE5owa5l3UBObQfk2XiikOzHCGM8kN63lRgi3QdOb7Lq6ZzbEmCj4nrzHewBX8m2+hoP6TXBRZuhnyPjOMr4jKCDbNYZR+xwNZY5V6JeNASx6OXG/vRDIaRGoXwWPIKCxkJbLGiiLsvo2XifnGhcVi63hhbXBeUDY/NF8bkcZi68+Lc1cZjyc0/DhxL6NisqtzHuLS1xqQ/sUXxwr+u9VCNiIlZlq91GVBd8VGRGrq51cqy/LhsZ3n8JnnTsW7fDLET8hpQj3lx9F3xceJ4XavU2Je8VlLmSTvhPm6I+pEzkmbCf6Mr3tARG+OK92NedAvMAQAAAAAAAF4dYu15550n3LBXXnml+J6F12eeeYa++MUvaom12223He211140ldAqUmTg8IkU2BTBJ5fFwWaYnSf+llwiGpMPq1M8TewrpgiXWuWehYOakdMzvIzWwFGlk8er+UCcKxTcfz2hveDbx9TCcBo7Sqgo7wv/BvvxfzdGYNNblp+QxWlUOEkKbI1ilpE7T+yr7lwOoBRPy9LffuyExVhqdOc5ZmNJcdXxvlrkfngmyBeiSVtkjXLXi2MTBeb0XZWJY0lXPFKr3Mc4/k2ch2IVQoToa+SG9LarJSzLNxFZo5zjpkvgKS4j2HBZvh+pEDW+/UKTGWInlAJzbh851q54/xpn4KyNnYzwzpMWk0Jl7D5Wj02JZ9FaPZLkijf93I2dtDO8pwAAAAAAAABY0VSpY6Ojo3TvvffSu971rsDrxx13HD3++OMi6uBViVrhfKIcbPIhXSOHMc3BJh/STYpCJVY4112OqRSmCqA6YrPEF5g+yMY52PghvWb4kJ5YzKnuGk5vE4vjbn/HFc0xWSIcLYqYLRP3i3BFjiWzAmPinwZ3nho5YCaOO2FlX3XVGRThSnIM6jt0XXFFzXUNCv+6gk8htr+N+klxVUb1t64wygKbHN/hKvc2jn/ZpoZijHymaOaVJhWXctvDwr/uWPLaVAtl8pouORdO/WiBzShvWrm+haMC/HNXcyzFLafn/Rg70P3rW9zkSC6bK97UpV1Ivy5pZ9bGTth4/20YqREZF+FNkBjHswTicJo3BgEAAAAAAIBmoqmcteygLZfLtOOOOwZeX7Fihfj3iSeeoC233DJxHx/5yEfo3e9+N82dO5fe8Y530EUXXURz5sxJFIj5S9LX1+e7oMJOqImA/4ZwDiX8LRYYhAFVCAf1dtUqVb8gED97prU38ExWDR6fX5W6kNM6btEmGV9QqdbbVK2Kh/Sq5wLVbZM4tmp9+1qloix/TT829UE2V3OoWq3WM2z9NvFDs6PV3ySFGvXYRH+7+ykaHJsr+NT726lU6+9FPq83zjxBk4+tUq1SzROKxL68vEo++tQ2yfdN7Cc4lrhfdPfDyAXH/J6r2/P3bptzqX3ttqm+3Fhtk+wn+b7p9LcbzcDvf+Ox1UyOTXHWqmNJHJs3BkRBLJ1jk8u7A8dW8ZcbF7XfN6fhfBPCqLKUWq+/lTHA+yrVM1VZQjYeSyLXNfS+KZEDWuPbmyTi3w1cl/ic84qnqYXi4ttUF8bK4bHEmbiU179WSnd9w37qopjjpH9OyLEkrnGVqr9SwO1vbyzl9Md35Lkrr5Wa75ukqo4lcSGRk3Z6nwMiK1w5tlqt0HhsGudJzf+Mc3OLg+euN5a8Nqa2Swr/lVrkdUn7s0kZ3+KaG+hvx70u5fSOTTQr9BnnlOufAxz1o3dd8rav8fiu+hnB/Hlu0t/qZxzvJ/C5699TpH9WjheT8TcAAAAAAADYnGgqsXbjxo3i387OzsDrs2fPFv9u2LAh9ndbW1uFUPuWt7xF/P4f//hHOv/88+nPf/4z/elPf6JSqRT5exdeeCGde+65Da+vXbuWRkZGaDIeUnp7e8VDUT7GzVTo6xPb5XJV6unto+6S267Chj4hJFQKNRoa6Kfu7rroHEeLEC4dGh0Zpu7u7vrrY2Pi9bFKOfB67H6Gh92H+0qF1q3fQLlh9yG9pb9ftLVcq1F/bw91VwcS95PvH+YnTcrXiPoGBqi7u+y+PjDMWQ1UdfI0MjxE3d2h/MEIWitlV9CplGnNK92+q69tyG3rWK1KG9evo+GBvsT+Lg4OCBGGqhXa0NND3c6g+3pPD1X52JwajYr+Thkf5QoVWeirOTQwOFTv13KVSt5D8Vh5TKu/W3ksCjGlQq90r6MZLW7bWwcHxX64vzduWE+VgWSHVqHPfX/4sb6nr88/hsKGfnFslbxDQ4P8PoyltqnkuGNpbGQ0cAwlbyyVKxXq6elJ7GumZXjI7++16zdQPjyWnBr18ftQ7k9sT35wxBtLeeobGKTu7op4PTc4QrlqVQh14XEf26bymD+WXn6l23fitXhjqVyr0ob161Kdo8UBPgaRO+KOJfLG0sYecWwVHkv9/D4MJzeoWqOSd+6ODCljSbzujqXRyij19Ayk9jePJXFs1Qp1r1tPo63uti0DA6KtPJZ6Nm4gGkoZS728fY1yTpV6++rXn0LPoBDrKrk8jQ7X34ckWmruMZRHQ2Np1H0fWCzTed9KQ4P+WFq/YQO1jrkfgSXvGsr93adxXcoNj1Kexb1ajvoHB/3rj3ydRTG+LvX0jKT3tzeWiMdS91pq8SZaWgeHhNA+Vq3RhnXradBf0540lmpijG/o6aXu/JD7+sZe93Mg59CIznWJoy+8MTMyPFLvV37du4aOVTU/B0bqnwM8lqqD8tx1xwaPJdHfaedu75CYMMxTlXr7+/3rT75vSJw7FSrSyPAg9dSG068n3rWVJ34Dn3HeuGdxct3atanHVhocdPubt9/QQ9Mr7pgp9fYKcZTH0gBfQ8l9H+LIjZapUHU/4waUc1e8XqkQS7ZjY8FxH0crX1v5/8TnwFqaVqp/DtS86xJ/Dox6r8fB9xQ80ZOrefcUxdA9RdH9HOgZGUrt7/Ggvz95fDQbd955J/3whz8U96ErV66kj370o/Stb32rYbuxsTH63Oc+Rz/96U9FH+yzzz5iux122CGwHRsVTj/9dLr//vtFHYb3v//99JWvfIVaWmSIDQAAAAAAaDY2uVjLQuSaNWtSt9t6660z/Z1FixbRt7/9bf/7/fffn3baaSd661vfSjfddBMde+yxkb931lln0RlnnBFw1i5dupTmz59PM2fOpInGFWFz4u/FPRBVawXqyb9CRcrR9BkzqKvLFbOrY0Qb8q8QFYo0e9Ys6upKL6Y20PIc5cZGqaVQoq6uLvEaP4wN5J8RLqG29nb/9STK64ZoJNdLpXyeZnbOpq7ONvf1V/rF67lCkebNnUNds9qSj79tkPoKq6ngELW2T6Ourrnu68U+6smvZi8hzZwxnbq64t3RktH2l6m/d5RK+QLNnTefWj3b0UhpNeVyo5Qrlmjhgi7aWMwn9ndluEYb8+upmMvT9A7u1xnu6/1l2pBfJ/p7Tmf99TjYhddffJ5ylQq1trTU+3tkjPoLz5GTr9D0adP0+nt1Dw2sHRD93TlnLs2Z5k4+jD2/nvpzA6K/F8yfRzNak0/5KpWoJ/8yFXM5mjZdGUuVHG3MvyzcmZ0zZ1JXV/rYH2h5nnIjI1QqFAPHMJBfSblcjVra2qizsyWxr5nKhmEayfdQKZenmbM6qWt2u3vM3QM0nOsR/S3G0szWxPbUBoaor/AiFWoOtYpxPM99vaefevMvkkM5/bE0rZsGekapJV+gOcpYGi6+RAO5ESJvLKVlslZHHTFmuL9bOmb652hlsEIb8mvJ4XN3tsZYqtVooPAs5XIVKpWUsTRWpn7v9fb2adTZmXwtYcpr+mgw3++OpdlzaP4M94F/7MWNNJjrF/3dNW8udbZHT3BJavlW6imsoYKTo/Zp3K/upFq1toF6Cy+JFJ6ZHTP815MYbF1FuSF2nRaCY6nwnHvMrfVjTqLSO0pj+Y3i3O3gsTR3mnvM64doNLeRswto3pw5/vUq9tgGR6i/sIqKVR7HPJbmu6/3DVJvYZWYN+mYMZ06Z7Wl9vfYc+uof8OIuC7NnjuPpre4gubIv16mXG7Yuy7Np1LKUvhqOUcbC2upxPESHR3+Oeper7rFsc3WuS45Dg0WV1KuXKFSsX7uiutVgc/div7nQHc/DStjSZ6j5Zd6aTjXJ65L8/nc7Ug5d0v9YswUajlqm1Y/R6u5HuotrCbHccdS57TW1P4ebnuJBgbKVMoVxLbSFT9YeIFyubL+WBqoULnAnwM56pjJ/Trdfb2Hx9h6ce7OnV0fY3E4o2XqL74ghNmWllb/b9cGh6mv8LwQ7GeIzwH3epXE2KoNNLBukFryeZo9Zy7N8s7RsZVrqZ8GxVha0DWf2kvuGItD3FMUXvE+B3gszXJfHyPayPcUPFZnzqTOUvr1ezxoa0s+H5uN2267jR599FFxH5pkMvjYxz5G//M//0OXXXYZLVmyRBgMDj74YPrnP/9Js2bN8k0MBx10kKjHcOONN9Lq1avFPevQ0FCkAAwAAAAAAJqDTS7WXnfddXTqqaembseZtNJBywJvlOM2Kc4giiOOOIKmT59ODz/8cKxYy45c/grDDycT/YAiEUWREv6eUyyKbThntOa42zJy9TMvEW0t6LU354lO/IAot1czR3Oa+8kXC+7ybpGX6vaX+H2Zo5vPC/EhdV8Ft1SWm8VZ349c7SzySrWPzX1A5X5iYc7fl9dRvESa25TW33kvr7QQPjYnuJ+0NjlFd2mvbEP9favnAhYLOb1j437KNbZJdBQvE87zvgoabeL9uAWY1P3wuHKzWPPa/S37iYXE+vumFM0ppve1ODZuk1c0R33fuL/F/3F/FzXaxOeJt5/wWHJMx5LMv/XygAP9LQ7O7e80aur7prSJl3vLYl4lnfdNyXXlHfnH5n2JIlXibzka/c15ld71JOLc5ciBUlFzLHnFvNRjc1OUiaqij8zGEu9IZNj6Ve7lWEpvjziGhP4Wx6Y5BnIl9zwJjyXZ4XIs8aREan97+d6x16W8+97xUvgkavI8YQdl4Njq2eVa11y12GRgLNVXL3CWtnZ/R1wrRS43v6Y7BrzPk4LjFl0LXE+Uc1fvelI/d/n9Lsht5Qem9piMOU+8NrljSfc88f5b6W9J1eBzIK9+XqpjSX6m6H4OiPPEy8AOfA7Ur5Wtmv09HkzWvdZkcfHFF9Oll14q/vuee+6J3ObFF1+kH/zgB8Jk8IEPfEC8tscee9CyZcvou9/9Ln36058Wr3GxXTYRsOlA3gNXKhU67bTT6Oyzz6bFixdP2nEBAAAAAIDxY5PfAZ9yyim+gJP0xTm122yzjYgr4CVfKvL7cJbtqwalSFFUQSDdIkWBwjFqRpxS4Vy34FWgsExDcSHOB9Uv5MNP6VEV5U2rUsuq243FbuoVzn0RKOXY/JzRcJu8fFitNnlZrAK1ao6oJm5QhE20vZ7rqr51atEc0wrnDYWTpAilXcgnFzmWZBCjfpGi6KJQUjmoale5d4MvoyvTmxXN8YsLhcalLMAk22xSqCpLsTq3yn3jWHIr3BsUl/LaXi94VH9ZFGQy6W+1jxqKA3p5vIZFodxz1754mvu+eGMgENLt7kf73PXHJK+CV/rbtBCfOKiY8a2cu1qXk9hCfK6CbPM5ECjC5R8bz6EZFLzKRR+bzJot6rx3sr9ZiAoV4pPXJe1zVylWFi585/4p/XNX7qehWJ3/OUBmxRjD1zdP/9cvoul9xoXOOf9zQLcQW8yxGZ8nIOZtSh8Yd9xxh1hZpRbUZTH2sMMOo1tuucV/7dZbb6VDDjkkYFZg8wH/Lu8DAAAAAAA0J5vcWWsCO1wPPPBAuv766+njH/+4//q1114rioylFRcLc/PNN9Pg4KBwKzQ1AXElpsK55nOV/5AuHqZdF5svtvFDt4ngE/WQLoRIfTFDuM5iK2V7ziwDUUQ6Kxv7yVxg4wfZsZBQZyLUiL713phalChiUOFcFTQDAoThQ7oqsAVquijCv+4Y8Au6CWel40YCeO5M/29pHZvrpGwQ2U0Fe38sUcSYNBOzgtXS1f6uWldvD1e5948tl0Vgk2Myr9ukWNHPWPAJVLmPPjZeZq3VJiloeueuOL8sxhJvF3k9EQWYWNTO6/W3d30LrzyQByoLH2q1SZn8CY9v9+cGk0gUM7HlC5qabZL9GSP8a19zk67fvuinfw3IO5xTnnHSLjCWvGMTHVR31mb7jDO9LvlTduTU6u5l9zOY+4jPXfNJu+AkktLfuWz3FKbXJWAHmxA4EkOuKJPwve5VV10V2E46byVcl4Gjv8LGhmYqnAvQ380Kxjf6e6qCsY3+nsrUJvHexORvNJVYy3zhC1+gAw44QCzxYvfAvffeS9dcc40QbFWKxSKdcMIJ/k3tpz71KeFm2GuvvcSNLBcV4+Jhb3jDG+jII4+kZibO5cfWMdOHPdXBxrviBztHqSTtLxnN6mDzqqVrL8cVApvqYPOWUgtRRFeBUMWjRgebrjtPilksQoaFA+kYzOJkliKNroNR7sddJhwt+GiLR4rAVokR/k3dkLK/8zyYvLEkJhDEsTt6x+aJKwG3b9VOrBXHE3JDin8NnYfRYoa3LD9vKESHjk04dKXAprv+oRDthhT/GLrz5GRElOBj2t9hB2PQVWl2ngT6W3H8mwn/nvMwLEKJNmk6/pX3N+iG9D7oTSaRRD/lYp2eRuJhmvBvco2LFf5zZuKhL0RT46Sdprs6VmRXhGgT4b9BZFXiWUxc2v61Uv0csJm0i4gcshGiE13x/rFncMWLewrFqQ+tbcLgeK9wMV2GxVs151Z3u2YrnAvQ380Kxjf6e6qCsY3+nsrUJvHexKRwbtOJtW9605tEEYXPf/7zQojl/C7O9VKXijFVrsgtXW5E9JrXvEZkf33ve98ThRe4WMPJJ58sblhZ2G1qVAdbWDw0XJIbdrC5D2ShBzTN/US5WOsPoJoCsieuxDnYRA6jybGFHGxC9JUZqiaCT5yDzeLh2j22bGJWrBNKCtHaEQ+KUOfECP+G7jwp+nFNG3eJsDqWnMzLjbVdXupy49BY8uNCdM1iqts3wjFImSMezN3VvshUbRQhzVzDSqxKhHio7dAU/c0TNrXQBIKXn2nqhgy7T1XHv8ky8ciYj3qb9Bz/9dzcoPDv7Ud3MirUpshz13ASKV+LiOawFP7zAVd8zfLYIoRoC+E/KnZCdTK3WaxCqI8lL4zVxKUdOE+UH8hrnEE/yb9ZC8XhiH9MJzUSXNqU07XXx7viZZsg1toVym1pcQs2bkqaoXAuQH83Kxjf6O+pCsY2+nsqU5vEexOTwrlNqVK+/e1vF19JSAFOwsIsf01JAk44alyyKPQXCwdbSBQxEyE9B1uUAOE52EwyVP3fjVraa+hgCzyAen1k5s5LdrBVLcTxhsxai/5OEti0H9JVgS1WiNZdcl6IFNjqIiQZLTfOxS3tJXOBLSyKyLHUapMzmkH49x3Rtfi8adOxlHNqdYHN1H3sHZssnpUl21n0t+yjzI5Bd1/q9cR31/NYsohBKIf7m4VAw3HptmMc3JChlRGBZfnjlX9sIPznQ6J2SyFnJfyrrnj13JXLf4yytCMmWuQYMM0ub5jY8s4T8ad0B4B3HjS44m3z1EVBt1qES9vEFd94ngj8STuzyKAot7e8p9A+T14FmBTK1a2twM7YcDFd6aRV82l1t2u2wrkA/d3MYHyjv6cqGNvo76lMbjMsnIu7pKmAL7C5LijbfNgGB5u63Ng0py7GwSZFMqPCSRECW/2h0dzFGniQVQteGRbNaXR6OnXXaM5OYJNtGm+BTfchPU5g812sJg/pUZmlXn+ZCT6KABHhFhMFmAxF1oaiZ7bLjSnbWJKiSFiI9t15Fpm1wXNXuvPyRu68OKFG/Fz3GuAdm/j7DRMtrvOwmFVgM81Q9a4n8a5hk8gYz1kbUYzRaHyLnNGQyKosyzct6jguBfSK0WPJWohOiNTQmkhU/p4Te55kcMWr11yDSTvxT1Quu2kRLj/CJNhHxvuJyy73IzUK+vuR50nEPYW7wkK3w6c+JoVydeFtX3nlFSG6qnAOrbof/u9wNq10+r5qi+4CAAAAAEwBINZOAVSBrRISRRjTJdBhocZ1DFo6qmJEETMxI0pg4326RaH0BZ+IQj5KhfOihcCWKUM1ILDVi17JqACzY4vJB5UZqgbH5v9qxrxKVTz026REPGQV/gNLqbW1Ok/4D2UEW0UO5EJtsnJpu38vSvg37e+8L7BxEoLSJiFm2UUFRLnzDCqVRcdOWAj2keKRjciuOAYD/V2R+9J3MebyhcR4FtPxHRQP620zcvxHOD3lGDC9fjdMSJlGF4QE5Khz1+HZa51+ykXHTlgVYwxlaYt9Woi+uSQh2vAaJyMVcjVlwtWP1MjbTdopLm0pAsu/k8UVL/4xyC4Hdhx22GHCeXHDDTf4r7Fwe8cdd9ARRxzhv3b44YfTXXfdRT09PQGnL/8u7wMAAAAAADQnTRmDADQdbL7zzMAtphZNUR2Dxi5WWb07WHzFf9DOaT6ki33FFF/xHoi1nxkjCifZiGJxBZgCVe51BTZfOHBzPUtiP461azggQIiH9HpmrfaxRQps5kXP5L7UbF+bJcL+cuMYd57usnw/mkEcSKPT0+zYIpYb15TiaYYCG7//4yL8C4GtRhXOKS3W+9tE+JcRJo3uPMeimFeEK149Nm2XbuMkkq3jP2oSSV2Wb+L4Vq+zfKzW1xN5rQxNagT+Toaid6bXJTVSIdDfXvE0/fetfq0cjZi003XEc//IyZ+oSSRfiK7H1MfjF2NUzjnL6JmGPgpnO2t/DrjXpYISO6F+xrWYCMgJwr9RxIP3n+GMYO4peU+B+mJ2PP/88/TQQw+J/+YaCs888wxdf/314vtjjjlG/LvFFlsIx+6ZZ55JhUJB1Fm44IILaNasWfShD33I39eHP/xh+uY3vykK5Z599tm0evVq8Tv8+uLFiy1bCAAAAAAANjUQa6cCMYWT6sKYZoXzOGHMf0Aze9gX/8RlqBoE3skHzLhK2ZkEiKr5cnPRdtFHtUYh2s+9NIudEA/pnsCmPqSbZKjKjGBVgPDRzUZRHGw1z21oK/y7AltIhLIoeheoup5lWb4iNDqKwCYLctkJyHXBR8ZgmBQqkxmq7vsfETthOC4bxDq14JVBcSnZprFAhqoseKUvsMmZlKioALMxUPBzXcV54ve3oSPaP0+C4rjxsnwRFeAKbG70CFExpzqZvf7WUbOiRFbHYlm+7/iPEtjMji2qTarwbzT5FzFpV3dpay7L945PtCMk/NeLp2WbkHQnyAw/K6M+4+RYMv0c8CbteHy3FCxdrIrbNyiyB/+Ozn7qam3onsLLnOfrEsRaO+6991466aST/O9vu+028SX6WDlPvv71r9OMGTPos5/9rKgcvO+++woXLQu2ambt3XffTaeffroQbDs6OoTIe/7551u2DgAAAAAAbA5ArJ0CyAfipGrS+oKPdPioriPvgTiv72JlB6NbOMlz+Um89mk7fBhveTe3iR+K+QE4WOHcVGSNekg3jFOIy3XNsCw7ICCbuvwUoW404iFdu+CVeNMai56pwr+RwOYfm7cvrwiXiYu1LmiHip7JcWUwlqRY4ebfKgKbhYs1Svi3cg17/xl2n4pdGkYzRLpPvfOkZJB92+D09JyH4ucGAluck9l2fPP1JOxkdsVDMnOgR0QFyL9jM5Z4fBc5FkFdhWCYWx0Q/v1JJDOhTg6mWqUaKfwbxaqEIxVk28S1kqwn7VTHf75gM9Gi2Gdt3NWyTcqx+RNtnO1s8lnpT9hEnLuGkzZ+7IRfsNDuekIxnyfC8W/4/jO1QH/LCBN30q6s1yoQ4sQTTxRfaXARsEsuuUR8JbFixQoh4gIAAAAAgKkDMmunCL7IoDxY8UNtvcK5mfMs6KiqLzXN4mJVs/P0swvqS0SjnVCWApsUj6yKwbhCdFgUUYunZSmcFFhKbRQ50Fg0x/0j+suN1bEUFv5N3XkBASJLDEKaszaDwGbvYq0vW24oUmQaXxHlirfJB1Vc8VmE/0jBx8adF3IyS9wMbLMM1SiBzVoc5+1r0Rmq2g50ZQLEd8VnKC4V5Yp3j83Aya7ETkSNJZPPAb+/1X5Si6eZuL3F54kyaWct/HtCeyjXNcsYaCwwZiJoRmfFq9cl02J8gbFUleeJSdE7uR/V8a9el7Kdu0EHsvauAAAAAAAAAIbgdnuqEOE6ksKo+8BP1gXG5EO6Y5nr6u9HqXAu8weN3ZAhIdJMOPDcviH3EvnHRuZFuGIcg9rLjaMENiVD1Tx2IujOE8IRP6SbCGzyvakFhX8Z8WAu2NdixEOy7qNAHq+J8M9L19VcV9GYWiaBrayIUL6D0dDFKn49zqWte3iRhZPMhX/hio9y14sfGhQqU87dXK2mCGzmbnZ/MiIgHrqxE2bH5l2XRJxCY39zUR5toia2lGX5pudJ+Bog/hFpIvqxE/LcVWMnrB3/YTe7jeM/xu1d/7nhuRu1L+5/4WQmswmyCNewWcxLfdIuHD/k/SHNIwtOkkZFxphO2jW44v1oDv3+jlxh4Y/vvH6bAAAAAAAAAMZArJ0iSIdSnDtPXzgoROe6WohZ9ciBuou1/mdMHmS9vMqoYjdGbfKcUBQUD01dw64o0uhgq9lEPMTFTnjLjc2WrUa4/EzzeJUsTlVgCwr/WYRobpOpeKhkQyqOaImxwBaR6yozmXXfOjV2Iso1bONkDrriLYqnRRZOUoqnGQp1rmMwJPoaCv/hwknucVrETsj+Ho9ideKX6+erm8drHqkhr5UN/W0jaIYENpkNavS+xU3aBfJ4yTrmw6p4WowQLS4rJoX4wnER/ri0zC5vcDLLzxN9cTypsKfbXoP3TfR348qIuovVvL/DE5umYq08d2W+t/xvm30BAAAAAAAAzIBYO0W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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Section 4: Coupled Oscillators Simulation\n", + "# =============================================================================\n", + "\n", + "# Simulate 3 conditions\n", + "np.random.seed(42)\n", + "duration = 3\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Base frequencies (slightly different for uncoupled case)\n", + "freq1 = 10.0\n", + "freq2_uncoupled = 10.3 # Slightly different\n", + "\n", + "conditions = {\n", + " \"Uncoupled\": (0.0, freq2_uncoupled),\n", + " \"Weakly coupled\": (0.5, freq1),\n", + " \"Strongly coupled\": (0.95, freq1)\n", + "}\n", + "\n", + "fig, axes = plt.subplots(3, 2, figsize=(14, 10))\n", + "\n", + "for i, (condition_name, (coupling, f2)) in enumerate(conditions.items()):\n", + " # Person 1: simple oscillator\n", + " phase_drift_1 = 2 * np.pi * freq1 * t + np.cumsum(0.1 * np.random.randn(len(t))) / fs\n", + " \n", + " # Person 2: influenced by Person 1 based on coupling\n", + " independent_drift = 2 * np.pi * f2 * t + np.cumsum(0.1 * np.random.randn(len(t))) / fs\n", + " coupled_component = phase_drift_1 + np.pi/6 # 30° lag\n", + " phase_drift_2 = coupling * coupled_component + (1 - coupling) * independent_drift\n", + " \n", + " # Create signals\n", + " signal_p1 = np.sin(phase_drift_1)\n", + " signal_p2 = np.sin(phase_drift_2)\n", + " \n", + " # Extract phases\n", + " phase_p1 = compute_instantaneous_phase(signal_p1)\n", + " phase_p2 = compute_instantaneous_phase(signal_p2)\n", + " \n", + " # Compute phase difference and PLV\n", + " diff = compute_phase_difference(phase_p1, phase_p2)\n", + " plv_val = compute_plv_simple(phase_p1, phase_p2)\n", + " avg_diff = circular_mean(diff)\n", + " R = resultant_vector_length(diff)\n", + " \n", + " # Time series\n", + " axes[i, 0].plot(t, signal_p1, color=COLORS[\"signal_1\"], label=\"Person 1\", alpha=0.8)\n", + " axes[i, 0].plot(t, signal_p2, color=COLORS[\"signal_2\"], label=\"Person 2\", alpha=0.8)\n", + " axes[i, 0].set_xlabel(\"Time (s)\")\n", + " axes[i, 0].set_ylabel(\"Amplitude\")\n", + " axes[i, 0].set_title(f\"{condition_name}\")\n", + " axes[i, 0].legend(loc=\"upper right\")\n", + " axes[i, 0].grid(True, alpha=0.3)\n", + " \n", + " # Phase difference over time\n", + " axes[i, 1].plot(t, np.degrees(diff), color=COLORS[\"signal_3\"], alpha=0.7)\n", + " axes[i, 1].axhline(np.degrees(avg_diff), color=COLORS[\"signal_4\"], linestyle=\"--\", \n", + " label=f\"Mean = {np.degrees(avg_diff):.1f}°\")\n", + " axes[i, 1].set_xlabel(\"Time (s)\")\n", + " axes[i, 1].set_ylabel(\"Phase diff (°)\")\n", + " axes[i, 1].set_title(f\"PLV = {plv_val:.2f}, R = {R:.2f}\")\n", + " axes[i, 1].set_ylim(-200, 200)\n", + " axes[i, 1].legend(loc=\"upper right\")\n", + " axes[i, 1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 5. Exercises\n", + "\n", + "### 🎯 Exercise 1: Phase Lag Detection\n", + "\n", + "**Task:** Create two 10 Hz signals where Signal 2 lags Signal 1 by 45°. Verify the lag using phase difference computation.\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Create signals with 45° lag\n", + "lag_deg = 45\n", + "lag_rad = np.radians(lag_deg)\n", + "\n", + "t = np.arange(0, 2, 1/250)\n", + "sig1 = np.sin(2 * np.pi * 10 * t)\n", + "sig2 = np.sin(2 * np.pi * 10 * t - lag_rad) # Negative = lag\n", + "\n", + "# Extract phases and compute difference\n", + "phase1 = compute_instantaneous_phase(sig1)\n", + "phase2 = compute_instantaneous_phase(sig2)\n", + "diff = compute_phase_difference(phase1, phase2)\n", + "\n", + "print(f\"Expected lag: -{lag_deg}°\")\n", + "print(f\"Measured: {np.degrees(circular_mean(diff)):.1f}°\")\n", + "print(f\"PLV: {compute_plv_simple(phase1, phase2):.3f}\")\n", + "```\n", + "\n", + "
\n", + "\n", + "### 🎯 Exercise 2: Time-Varying PLV\n", + "\n", + "**Task:** Compute PLV in sliding windows (1 second, 50% overlap) for the strongly coupled oscillators from Section 4.\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "
\n", + "💡 Click to reveal solution\n", + "\n", + "```python\n", + "# Sliding window PLV\n", + "window_size = int(1.0 * fs) # 1 second\n", + "step = window_size // 2 # 50% overlap\n", + "\n", + "# Use strongly coupled signals from Section 4\n", + "coupling = 0.95\n", + "phase_drift_1 = 2 * np.pi * 10 * t + np.cumsum(0.1 * np.random.randn(len(t))) / fs\n", + "phase_drift_2 = coupling * (phase_drift_1 + np.pi/6) + (1 - coupling) * (2 * np.pi * 10 * t)\n", + "\n", + "signal_p1 = np.sin(phase_drift_1)\n", + "signal_p2 = np.sin(phase_drift_2)\n", + "\n", + "phase_p1 = compute_instantaneous_phase(signal_p1)\n", + "phase_p2 = compute_instantaneous_phase(signal_p2)\n", + "\n", + "# Compute windowed PLV\n", + "plv_times = []\n", + "plv_vals = []\n", + "for start in range(0, len(t) - window_size, step):\n", + " end = start + window_size\n", + " plv_win = compute_plv_simple(phase_p1[start:end], phase_p2[start:end])\n", + " plv_times.append(t[start + window_size // 2])\n", + " plv_vals.append(plv_win)\n", + "\n", + "plt.figure(figsize=(10, 4))\n", + "plt.plot(plv_times, plv_vals, 'o-', color=COLORS[\"signal_1\"])\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"PLV\")\n", + "plt.title(\"Time-varying PLV (1s windows, 50% overlap)\")\n", + "plt.ylim(0, 1)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.show()\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 6. Summary\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Formula | Interpretation |\n", + "|---------|---------|----------------|\n", + "| **Phase difference** | Δφ(t) = φ₂(t) - φ₁(t) | Instantaneous relationship |\n", + "| **Average phase diff** | $\\bar{\\Delta\\phi}$ = circular_mean(Δφ) | Typical lag/lead |\n", + "| **PLV** | R of phase differences | Consistency of relationship |\n", + "\n", + "### Complete Workflow\n", + "\n", + "```python\n", + "# 1. Extract phases\n", + "phase1 = compute_instantaneous_phase(signal1)\n", + "phase2 = compute_instantaneous_phase(signal2)\n", + "\n", + "# 2. Compute phase difference\n", + "diff = compute_phase_difference(phase1, phase2)\n", + "\n", + "# 3. Analyze relationship\n", + "avg_diff = circular_mean(diff) # Average lag\n", + "plv = compute_plv_simple(phase1, phase2) # Consistency\n", + "```\n", + "\n", + "### Key Insights\n", + "\n", + "1. **PLV = R**: Phase Locking Value is the resultant vector length of phase differences\n", + "2. **High PLV ≠ in-phase**: Signals can be anti-phase (180°) and still have PLV = 1\n", + "3. **Filter first**: Always extract phase from narrowband-filtered signals" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 7. External Resources\n", + "\n", + "### 📚 Scientific References\n", + "\n", + "- **Lachaux et al. (1999)** - *Measuring phase synchrony in brain signals* - Original PLV paper\n", + "- **Pikovsky et al. (2001)** - *Synchronization: A Universal Concept in Nonlinear Sciences*\n", + "\n", + "### 🎧 NotebookLM Resources\n", + "\n", + "- [📺 Video Overview](https://notebooklm.google.com/notebook/d4d31cd1-619f-4df5-825c-2a038cabe293?artifactId=c94ced23-51f9-4815-aedb-6846967a4fe8) - Video overview of phase relationships concepts\n", + "- [📝 Quiz](https://notebooklm.google.com/notebook/d4d31cd1-619f-4df5-825c-2a038cabe293?artifactId=8cdfcc8f-9aec-4ac6-a2c2-a92de5d69c08) - Test your understanding of phase synchronization\n", + "- [🗂️ Flashcards](https://notebooklm.google.com/notebook/d4d31cd1-619f-4df5-825c-2a038cabe293?artifactId=e2bafda8-4b67-475a-949f-e54d43c4ad1f) - Review key concepts" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "\n", + "## 8. Discussion Questions\n", + "\n", + "1. **In-phase vs Anti-phase**: Two brain regions show PLV = 0.9 with average phase difference of 180°. Are they coupled? What might this mean functionally?\n", + "\n", + "2. **Frequency matters**: Why must you filter to a specific band before computing PLV? What would happen with broadband signals?\n", + "\n", + "3. **Statistical significance**: In a hyperscanning experiment with PLV = 0.6, how would you determine if this is significant?\n", + "\n", + "---\n", + "\n", + "**Next Steps:**\n", + "- [B03: Amplitude Envelope](B03_amplitude_envelope.ipynb)\n", + "- [G01: Phase Locking Value](../../02_connectivity_metrics/G_phase_based/G01_phase_locking_value.ipynb) - Full PLV implementation" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B03_amplitude_envelope.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B03_amplitude_envelope.ipynb new file mode 100644 index 0000000..4bd3d71 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B03_amplitude_envelope.ipynb @@ -0,0 +1,2643 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3eb53fb5", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 1. Introduction\n", + "\n", + "In the previous notebooks, we've focused on **phase-based** connectivity metrics like the Phase\n", + "Locking Value (PLV). These metrics capture the **synchronization of oscillation timing** between\n", + "signals — whether two brain regions oscillate in phase with each other.\n", + "\n", + "However, there's another fundamental way that neural signals can be related: through their\n", + "**amplitude fluctuations**. Even if two signals have completely unrelated phases, they might\n", + "show **co-fluctuation of oscillation strength** — when one signal's amplitude increases, so\n", + "does the other's.\n", + "\n", + "This leads us to **amplitude-based connectivity metrics** like:\n", + "- **Envelope Correlation (CCorr)**: Pearson correlation between amplitude envelopes\n", + "- **Power Correlation (PowCorr)**: Correlation between instantaneous power values\n", + "\n", + "**Key insight**: Amplitude fluctuations are **slower** than the oscillation itself. A 10 Hz\n", + "alpha oscillation might have envelope fluctuations at only 0.5-2 Hz. This means amplitude\n", + "coupling operates on a different timescale than phase coupling, potentially reflecting\n", + "different neural communication mechanisms.\n", + "\n", + "In **hyperscanning**, amplitude coupling between participants may reflect shared arousal,\n", + "attention states, or cognitive engagement — even when their brain oscillations aren't\n", + "phase-locked." + ] + }, + { + "cell_type": "markdown", + "id": "d611d4ba", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 2. What is the Amplitude Envelope?\n", + "\n", + "The **amplitude envelope** is the curve that traces the peaks of an oscillating signal.\n", + "Think of it as the \"outline\" that hugs the oscillation from above and below.\n", + "\n", + "For a **narrowband signal** (signal filtered to a specific frequency range), the envelope\n", + "represents the **instantaneous amplitude** — how strong the oscillation is at each moment.\n", + "\n", + "**Mathematical definition**:\n", + "$$A(t) = |z(t)| = |x(t) + i \\cdot \\mathcal{H}\\{x(t)\\}|$$\n", + "\n", + "Where:\n", + "- $z(t)$ is the analytic signal (from Hilbert transform)\n", + "- $|z(t)|$ is its magnitude = the envelope\n", + "\n", + "**Key properties**:\n", + "- Envelope is always **positive** (it's a magnitude)\n", + "- Envelope changes **slowly** compared to the carrier oscillation\n", + "- Envelope captures **when** oscillations are strong vs weak\n", + "\n", + "**Analogy**: AM radio uses amplitude modulation. The high-frequency carrier wave has an\n", + "envelope that carries the actual audio information. Similarly, brain oscillations have\n", + "envelopes that carry information about neural activity strength." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "747759ce", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# IMPORTS AND SETUP\n", + "# ============================================================================\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Tuple\n", + "\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy.signal import hilbert, butter, filtfilt, welch\n", + "from scipy.ndimage import gaussian_filter1d\n", + "from scipy.stats import pearsonr\n", + "\n", + "# Add src to path for local imports\n", + "sys.path.insert(0, str(Path.cwd().parents[2]))\n", + "\n", + "from src.colors import COLORS\n", + "from src.filtering import bandpass_filter\n", + "from src.phase import compute_plv_simple\n", + "\n", + "# Color aliases for convenience (using available COLORS keys)\n", + "PRIMARY_BLUE = COLORS[\"signal_1\"] # Sky Blue\n", + "PRIMARY_RED = COLORS[\"negative\"] # Coral Red\n", + "PRIMARY_GREEN = COLORS[\"signal_3\"] # Sage Green\n", + "SECONDARY_PURPLE = COLORS[\"signal_5\"] # Lavender\n", + "SECONDARY_ORANGE = COLORS[\"signal_4\"] # Golden\n", + "ACCENT_PURPLE = COLORS[\"high_sync\"] # Purple for accents\n", + "ACCENT_GOLD = COLORS[\"signal_4\"] # Golden for highlights\n", + "\n", + "# Add envelope-specific colors to COLORS for this notebook\n", + "COLORS[\"signal\"] = COLORS[\"signal_1\"]\n", + "COLORS[\"envelope\"] = COLORS[\"negative\"]\n", + "COLORS[\"correlation\"] = COLORS[\"high_sync\"]\n", + "\n", + "# Set random seed for reproducibility\n", + "np.random.seed(42)\n", + "\n", + "print(\"✓ Imports successful!\")\n", + "print(f\"NumPy version: {np.__version__}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "714d7dad", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 1: Amplitude-Modulated Signal with Envelope\n", + "# ============================================================================\n", + "\n", + "# Create an amplitude-modulated signal\n", + "fs = 500 # Sampling rate\n", + "duration = 3.0 # seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Carrier: 10 Hz oscillation\n", + "carrier_freq = 10 # Hz\n", + "carrier = np.sin(2 * np.pi * carrier_freq * t)\n", + "\n", + "# Modulation: slow 0.5 Hz envelope variation\n", + "mod_freq = 0.5 # Hz\n", + "modulation = 0.5 + 0.5 * np.sin(2 * np.pi * mod_freq * t) # Range [0, 1]\n", + "\n", + "# AM signal\n", + "am_signal = modulation * carrier\n", + "\n", + "# Extract envelope using Hilbert transform\n", + "analytic = hilbert(am_signal)\n", + "envelope = np.abs(analytic)\n", + "\n", + "# Create figure\n", + "fig, ax = plt.subplots(figsize=(14, 5))\n", + "\n", + "# Plot signal\n", + "ax.plot(t, am_signal, color=PRIMARY_BLUE, linewidth=0.8, alpha=0.7, label='AM Signal (10 Hz carrier)')\n", + "\n", + "# Plot envelope (upper and lower)\n", + "ax.plot(t, envelope, color=PRIMARY_RED, linewidth=2.5, label='Envelope (upper)')\n", + "ax.plot(t, -envelope, color=PRIMARY_RED, linewidth=2.5, label='Envelope (lower)')\n", + "\n", + "# Plot true modulation for comparison\n", + "ax.plot(t, modulation, color=PRIMARY_GREEN, linewidth=2, linestyle='--', \n", + " alpha=0.8, label='True modulation')\n", + "\n", + "ax.set_xlabel('Time (s)', fontsize=12)\n", + "ax.set_ylabel('Amplitude', fontsize=12)\n", + "ax.set_title('Visualization 1: Amplitude Envelope \"Hugs\" the Oscillation', \n", + " fontsize=14, fontweight='bold')\n", + "ax.legend(loc='upper right')\n", + "ax.set_xlim(0, 3)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Carrier frequency: {carrier_freq} Hz\")\n", + "print(f\"Modulation frequency: {mod_freq} Hz\")\n", + "print(f\"→ The envelope captures the slow amplitude changes!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "da1eb920", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 2: EEG-like Alpha Signal with Natural Envelope\n", + "# ============================================================================\n", + "\n", + "# Generate realistic EEG-like signal with alpha activity\n", + "np.random.seed(42)\n", + "fs_eeg = 250\n", + "duration_eeg = 5.0\n", + "t_eeg = np.arange(0, duration_eeg, 1/fs_eeg)\n", + "\n", + "# Create alpha bursts with varying amplitude\n", + "# Base alpha oscillation\n", + "alpha_freq = 10 # Hz\n", + "\n", + "# Natural amplitude modulation (irregular bursts)\n", + "burst_mod = np.zeros(len(t_eeg))\n", + "# Add several bursts at random times\n", + "burst_times = [0.5, 1.5, 2.8, 4.0] # seconds\n", + "burst_widths = [0.4, 0.6, 0.5, 0.7] # seconds\n", + "burst_amps = [1.0, 0.7, 1.2, 0.9]\n", + "\n", + "for bt, bw, ba in zip(burst_times, burst_widths, burst_amps):\n", + " burst_mod += ba * np.exp(-((t_eeg - bt) ** 2) / (2 * (bw/3) ** 2))\n", + "\n", + "# Add baseline and noise\n", + "burst_mod = 0.2 + burst_mod # baseline\n", + "\n", + "# Create alpha signal\n", + "alpha_signal = burst_mod * np.sin(2 * np.pi * alpha_freq * t_eeg)\n", + "alpha_signal += 0.15 * np.random.randn(len(t_eeg)) # Add noise\n", + "\n", + "# Filter to alpha band and extract envelope\n", + "alpha_filtered = bandpass_filter(alpha_signal, 8, 13, fs_eeg)\n", + "alpha_analytic = hilbert(alpha_filtered)\n", + "alpha_envelope = np.abs(alpha_analytic)\n", + "\n", + "# Create figure\n", + "fig, ax = plt.subplots(figsize=(14, 5))\n", + "\n", + "# Plot filtered alpha signal\n", + "ax.plot(t_eeg, alpha_filtered, color=PRIMARY_BLUE, linewidth=0.8, \n", + " alpha=0.7, label='Alpha-filtered signal (8-13 Hz)')\n", + "\n", + "# Plot envelope\n", + "ax.fill_between(t_eeg, -alpha_envelope, alpha_envelope, \n", + " color=PRIMARY_RED, alpha=0.3, label='Envelope region')\n", + "ax.plot(t_eeg, alpha_envelope, color=PRIMARY_RED, linewidth=2.5, label='Envelope')\n", + "ax.plot(t_eeg, -alpha_envelope, color=PRIMARY_RED, linewidth=2.5)\n", + "\n", + "# Mark bursts\n", + "for i, bt in enumerate(burst_times):\n", + " ax.axvline(x=bt, color='gray', linestyle=':', alpha=0.5)\n", + " ax.annotate(f'Burst {i+1}', xy=(bt, alpha_envelope.max() * 1.1), \n", + " ha='center', fontsize=9, color='gray')\n", + "\n", + "ax.set_xlabel('Time (s)', fontsize=12)\n", + "ax.set_ylabel('Amplitude (a.u.)', fontsize=12)\n", + "ax.set_title('Visualization 2: Alpha \"Bursts\" — Envelope Captures Activity Strength', \n", + " fontsize=14, fontweight='bold')\n", + "ax.legend(loc='upper right')\n", + "ax.set_xlim(0, 5)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"→ The envelope reveals WHEN alpha activity is strong (bursts) vs weak\")\n", + "print(\"→ This is crucial for understanding neural dynamics!\")" + ] + }, + { + "cell_type": "markdown", + "id": "f97f1229", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 3. Envelope vs Amplitude vs Power\n", + "\n", + "These terms are often confused in the literature. Let's clarify:\n", + "\n", + "| Term | Definition | Range | Units (if signal in µV) |\n", + "|------|------------|-------|-------------------------|\n", + "| **Signal amplitude** | $x(t)$ | $(-\\infty, +\\infty)$ | µV |\n", + "| **Instantaneous amplitude** | $|z(t)|$ | $[0, +\\infty)$ | µV |\n", + "| **Envelope** | $|z(t)|$ | $[0, +\\infty)$ | µV |\n", + "| **Instantaneous power** | $|z(t)|^2$ | $[0, +\\infty)$ | µV² |\n", + "\n", + "**Key distinctions**:\n", + "- **Envelope = Instantaneous amplitude** — these are synonymous!\n", + "- **Power = Envelope²** — squaring emphasizes large amplitudes\n", + "- **Band power** (from A03) is the *integral* of PSD over a frequency range\n", + "\n", + "**When to use which?**\n", + "- **Envelope**: Standard for amplitude connectivity (CCorr)\n", + "- **Power**: Sometimes used, emphasizes peaks more\n", + "- In practice, results are often similar, but power is more sensitive to outliers" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1616c51f", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 3: Signal vs Envelope vs Power\n", + "# ============================================================================\n", + "\n", + "# Use the alpha signal from before\n", + "power = alpha_envelope ** 2\n", + "\n", + "# Create figure with 3 subplots\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 9), sharex=True)\n", + "\n", + "# Subplot 1: Original signal\n", + "axes[0].plot(t_eeg, alpha_filtered, color=PRIMARY_BLUE, linewidth=0.8)\n", + "axes[0].set_ylabel('Signal x(t)\\n(µV)', fontsize=11)\n", + "axes[0].set_title('Original Signal: Can be positive or negative', \n", + " fontsize=12, fontweight='bold')\n", + "axes[0].axhline(y=0, color='gray', linestyle='-', alpha=0.5)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Subplot 2: Envelope\n", + "axes[1].plot(t_eeg, alpha_envelope, color=PRIMARY_RED, linewidth=2)\n", + "axes[1].fill_between(t_eeg, 0, alpha_envelope, color=PRIMARY_RED, alpha=0.3)\n", + "axes[1].set_ylabel('Envelope |z(t)|\\n(µV)', fontsize=11)\n", + "axes[1].set_title('Envelope (Instantaneous Amplitude): Always positive', \n", + " fontsize=12, fontweight='bold')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Subplot 3: Power\n", + "axes[2].plot(t_eeg, power, color=ACCENT_PURPLE, linewidth=2)\n", + "axes[2].fill_between(t_eeg, 0, power, color=ACCENT_PURPLE, alpha=0.3)\n", + "axes[2].set_ylabel('Power |z(t)|²\\n(µV²)', fontsize=11)\n", + "axes[2].set_xlabel('Time (s)', fontsize=12)\n", + "axes[2].set_title('Instantaneous Power: Squared envelope — peaks are emphasized', \n", + " fontsize=12, fontweight='bold')\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 3: Signal vs Envelope vs Power', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Compute correlation between envelope and power\n", + "corr_env_pow = np.corrcoef(alpha_envelope, power)[0, 1]\n", + "print(f\"Correlation between envelope and power: {corr_env_pow:.4f}\")\n", + "print(\"→ They are highly correlated, but power emphasizes peaks more!\")" + ] + }, + { + "cell_type": "markdown", + "id": "b93f4b70", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 4. Extracting the Envelope — Complete Pipeline\n", + "\n", + "The standard workflow for envelope extraction:\n", + "\n", + "1. **Filter** the signal to the frequency band of interest\n", + "2. Apply the **Hilbert transform** to get the analytic signal\n", + "3. Take the **magnitude** to get the envelope\n", + "\n", + "**Why filtering first?**\n", + "- The envelope is only meaningful for **narrowband** signals\n", + "- A broadband signal has no single \"envelope\"\n", + "- The frequency band determines which oscillation we track\n", + "\n", + "**Different bands = different envelopes = different dynamics!**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "549f4dff", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 1: extract_envelope\n", + "# ============================================================================\n", + "\n", + "def extract_envelope(\n", + " signal: NDArray[np.floating],\n", + " fs: float,\n", + " band: Tuple[float, float],\n", + " filter_order: int = 4\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Extract the amplitude envelope from a signal for a specific frequency band.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.floating]\n", + " Input signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : Tuple[float, float]\n", + " Frequency band as (low_freq, high_freq) in Hz.\n", + " filter_order : int, optional\n", + " Order of the bandpass filter (default: 4).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Amplitude envelope of the band-filtered signal.\n", + " \n", + " Examples\n", + " --------\n", + " >>> envelope = extract_envelope(eeg_signal, fs=250, band=(8, 13))\n", + " \"\"\"\n", + " # Step 1: Bandpass filter\n", + " filtered = bandpass_filter(signal, band[0], band[1], fs, order=filter_order)\n", + " \n", + " # Step 2: Hilbert transform\n", + " analytic = hilbert(filtered)\n", + " \n", + " # Step 3: Magnitude = envelope\n", + " envelope = np.abs(analytic)\n", + " \n", + " return envelope\n", + "\n", + "\n", + "# Test the function\n", + "test_envelope = extract_envelope(alpha_signal, fs_eeg, (8, 13))\n", + "print(f\"Envelope extracted: {len(test_envelope)} samples\")\n", + "print(f\"Envelope range: [{test_envelope.min():.3f}, {test_envelope.max():.3f}]\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4f303099", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 4: Envelopes Across Different Frequency Bands\n", + "# ============================================================================\n", + "\n", + "# Generate a broadband EEG-like signal with multiple components\n", + "np.random.seed(123)\n", + "fs_multi = 250\n", + "duration_multi = 6.0\n", + "t_multi = np.arange(0, duration_multi, 1/fs_multi)\n", + "\n", + "# Create signal with theta, alpha, and beta components\n", + "# Each with different amplitude modulations\n", + "theta_mod = 0.5 + 0.5 * np.sin(2 * np.pi * 0.3 * t_multi) # Slow modulation\n", + "alpha_mod = 0.3 + 0.7 * np.exp(-((t_multi - 2) ** 2) / 0.5) + 0.6 * np.exp(-((t_multi - 4.5) ** 2) / 0.3)\n", + "beta_mod = 0.4 + 0.4 * np.sin(2 * np.pi * 0.8 * t_multi + 1) # Faster modulation\n", + "\n", + "# Generate oscillations\n", + "theta = theta_mod * np.sin(2 * np.pi * 6 * t_multi)\n", + "alpha = alpha_mod * np.sin(2 * np.pi * 10 * t_multi)\n", + "beta = beta_mod * np.sin(2 * np.pi * 20 * t_multi)\n", + "\n", + "# Combine with noise\n", + "broadband = theta + alpha + 0.5 * beta + 0.3 * np.random.randn(len(t_multi))\n", + "\n", + "# Extract envelopes for each band\n", + "env_theta = extract_envelope(broadband, fs_multi, (4, 8))\n", + "env_alpha = extract_envelope(broadband, fs_multi, (8, 13))\n", + "env_beta = extract_envelope(broadband, fs_multi, (13, 30))\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(4, 1, figsize=(14, 12), sharex=True)\n", + "\n", + "# Raw signal\n", + "axes[0].plot(t_multi, broadband, color='gray', linewidth=0.5, alpha=0.7)\n", + "axes[0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0].set_title('Raw Broadband Signal (Contains Multiple Rhythms)', \n", + " fontsize=12, fontweight='bold')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Theta envelope\n", + "theta_filt = bandpass_filter(broadband, 4, 8, fs_multi)\n", + "axes[1].plot(t_multi, theta_filt, color=COLORS[\"theta\"], linewidth=0.5, alpha=0.5)\n", + "axes[1].plot(t_multi, env_theta, color=COLORS[\"theta\"], linewidth=2.5, label='Theta envelope')\n", + "axes[1].plot(t_multi, -env_theta, color=COLORS[\"theta\"], linewidth=2.5)\n", + "axes[1].set_ylabel('Theta (4-8 Hz)', fontsize=11)\n", + "axes[1].set_title('Theta Band: Slow, Sustained Modulation', fontsize=12, fontweight='bold')\n", + "axes[1].legend(loc='upper right')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Alpha envelope\n", + "alpha_filt = bandpass_filter(broadband, 8, 13, fs_multi)\n", + "axes[2].plot(t_multi, alpha_filt, color=COLORS[\"alpha\"], linewidth=0.5, alpha=0.5)\n", + "axes[2].plot(t_multi, env_alpha, color=COLORS[\"alpha\"], linewidth=2.5, label='Alpha envelope')\n", + "axes[2].plot(t_multi, -env_alpha, color=COLORS[\"alpha\"], linewidth=2.5)\n", + "axes[2].set_ylabel('Alpha (8-13 Hz)', fontsize=11)\n", + "axes[2].set_title('Alpha Band: Clear Burst Pattern', fontsize=12, fontweight='bold')\n", + "axes[2].legend(loc='upper right')\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "# Beta envelope\n", + "beta_filt = bandpass_filter(broadband, 13, 30, fs_multi)\n", + "axes[3].plot(t_multi, beta_filt, color=COLORS[\"beta\"], linewidth=0.5, alpha=0.5)\n", + "axes[3].plot(t_multi, env_beta, color=COLORS[\"beta\"], linewidth=2.5, label='Beta envelope')\n", + "axes[3].plot(t_multi, -env_beta, color=COLORS[\"beta\"], linewidth=2.5)\n", + "axes[3].set_ylabel('Beta (13-30 Hz)', fontsize=11)\n", + "axes[3].set_xlabel('Time (s)', fontsize=12)\n", + "axes[3].set_title('Beta Band: Faster Envelope Fluctuations', fontsize=12, fontweight='bold')\n", + "axes[3].legend(loc='upper right')\n", + "axes[3].grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 4: Different Bands Have Different Envelope Dynamics', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"→ Each frequency band has its own characteristic envelope dynamics\")\n", + "print(\"→ The choice of band determines what neural activity we track!\")" + ] + }, + { + "cell_type": "markdown", + "id": "4a7d8fdd", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 5. Temporal Dynamics of the Envelope\n", + "\n", + "A crucial insight: **envelopes fluctuate on slower timescales** than the oscillation itself.\n", + "\n", + "- A 10 Hz alpha oscillation completes 10 cycles per second\n", + "- But its envelope might only change significantly over 0.5-2 seconds\n", + "- The envelope is essentially a **low-frequency signal**\n", + "\n", + "This has important implications:\n", + "- Envelope dynamics reflect **neural modulation processes**\n", + "- They can reveal cognitive states, attention, arousal\n", + "- For connectivity, envelope correlation captures **slow co-fluctuation**\n", + "\n", + "Let's verify this by looking at the frequency content of an envelope:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "882e5a5c", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 2: compute_envelope_psd\n", + "# ============================================================================\n", + "\n", + "def compute_envelope_psd(\n", + " envelope: NDArray[np.floating],\n", + " fs: float\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"\n", + " Compute the Power Spectral Density of an envelope signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " envelope : NDArray[np.floating]\n", + " Amplitude envelope time series.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.floating], NDArray[np.floating]]\n", + " (frequencies, psd) arrays.\n", + " \n", + " Notes\n", + " -----\n", + " Useful for analyzing envelope dynamics — confirms that envelopes\n", + " contain primarily low-frequency content.\n", + " \"\"\"\n", + " from scipy.signal import welch\n", + " \n", + " # Use Welch's method with appropriate parameters for slow signals\n", + " nperseg = min(len(envelope), int(fs * 2)) # 2-second windows\n", + " frequencies, psd = welch(envelope, fs=fs, nperseg=nperseg)\n", + " \n", + " return frequencies, psd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "299023f7", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 5: Envelope is a Slow Signal\n", + "# ============================================================================\n", + "\n", + "# Use alpha envelope from previous example\n", + "freqs_env, psd_env = compute_envelope_psd(env_alpha, fs_multi)\n", + "\n", + "# Also compute PSD of the filtered signal for comparison\n", + "from scipy.signal import welch\n", + "freqs_sig, psd_sig = welch(alpha_filt, fs=fs_multi, nperseg=int(fs_multi * 2))\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Top left: Alpha signal and envelope in time domain\n", + "axes[0, 0].plot(t_multi, alpha_filt, color=COLORS[\"alpha\"], linewidth=0.5, \n", + " alpha=0.5, label='Alpha signal')\n", + "axes[0, 0].plot(t_multi, env_alpha, color=PRIMARY_RED, linewidth=2, label='Envelope')\n", + "axes[0, 0].set_xlabel('Time (s)', fontsize=11)\n", + "axes[0, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 0].set_title('Time Domain: Alpha Signal & Envelope', fontsize=12, fontweight='bold')\n", + "axes[0, 0].legend(loc='upper right')\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Top right: Zoomed view\n", + "zoom_start, zoom_end = 1.5, 2.5\n", + "zoom_mask = (t_multi >= zoom_start) & (t_multi <= zoom_end)\n", + "axes[0, 1].plot(t_multi[zoom_mask], alpha_filt[zoom_mask], color=COLORS[\"alpha\"], \n", + " linewidth=1, alpha=0.7, label='Alpha signal')\n", + "axes[0, 1].plot(t_multi[zoom_mask], env_alpha[zoom_mask], color=PRIMARY_RED, \n", + " linewidth=2.5, label='Envelope')\n", + "axes[0, 1].set_xlabel('Time (s)', fontsize=11)\n", + "axes[0, 1].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 1].set_title('Zoomed: Signal Oscillates Fast, Envelope Changes Slowly', \n", + " fontsize=12, fontweight='bold')\n", + "axes[0, 1].legend(loc='upper right')\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Bottom left: PSD of the alpha signal\n", + "axes[1, 0].semilogy(freqs_sig, psd_sig, color=COLORS[\"alpha\"], linewidth=2)\n", + "axes[1, 0].axvspan(8, 13, color=COLORS[\"alpha\"], alpha=0.2, label='Alpha band')\n", + "axes[1, 0].set_xlabel('Frequency (Hz)', fontsize=11)\n", + "axes[1, 0].set_ylabel('PSD (log scale)', fontsize=11)\n", + "axes[1, 0].set_title('PSD of Alpha Signal: Peak at 10 Hz', fontsize=12, fontweight='bold')\n", + "axes[1, 0].set_xlim(0, 50)\n", + "axes[1, 0].legend(loc='upper right')\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom right: PSD of the envelope\n", + "axes[1, 1].semilogy(freqs_env, psd_env, color=PRIMARY_RED, linewidth=2)\n", + "axes[1, 1].axvspan(0, 2, color=PRIMARY_RED, alpha=0.2, label='< 2 Hz')\n", + "axes[1, 1].set_xlabel('Frequency (Hz)', fontsize=11)\n", + "axes[1, 1].set_ylabel('PSD (log scale)', fontsize=11)\n", + "axes[1, 1].set_title('PSD of Envelope: Power Concentrated < 2 Hz!', \n", + " fontsize=12, fontweight='bold', color=PRIMARY_RED)\n", + "axes[1, 1].set_xlim(0, 10)\n", + "axes[1, 1].legend(loc='upper right')\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 5: The Envelope is a SLOW Signal', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"→ The alpha SIGNAL oscillates at ~10 Hz\")\n", + "print(\"→ The alpha ENVELOPE fluctuates at < 2 Hz\")\n", + "print(\"→ Envelope dynamics operate on a different (slower) timescale!\")" + ] + }, + { + "cell_type": "markdown", + "id": "ae2411d8", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 6. Envelope Smoothing\n", + "\n", + "Raw envelopes can be **noisy**, especially with:\n", + "- Short data segments\n", + "- Low signal-to-noise ratio (SNR)\n", + "- High-frequency noise leaking through\n", + "\n", + "**Smoothing** reduces rapid fluctuations and reveals the underlying trend.\n", + "\n", + "**Common methods**:\n", + "1. **Moving average**: Simple, but distorts edges\n", + "2. **Gaussian smoothing**: Better edge behavior\n", + "3. **Low-pass filtering**: Most principled approach\n", + "\n", + "**Trade-off**: More smoothing = less temporal resolution" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e9fb91e", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTIONS 3, 4, 5: Envelope Smoothing Methods\n", + "# ============================================================================\n", + "\n", + "def smooth_envelope_moving_average(\n", + " envelope: NDArray[np.floating],\n", + " window_samples: int\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Smooth envelope using a simple moving average.\n", + " \n", + " Parameters\n", + " ----------\n", + " envelope : NDArray[np.floating]\n", + " Amplitude envelope time series.\n", + " window_samples : int\n", + " Width of the moving average window in samples.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Smoothed envelope.\n", + " \"\"\"\n", + " kernel = np.ones(window_samples) / window_samples\n", + " return np.convolve(envelope, kernel, mode='same')\n", + "\n", + "\n", + "def smooth_envelope_gaussian(\n", + " envelope: NDArray[np.floating],\n", + " sigma_samples: float\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Smooth envelope using Gaussian filtering.\n", + " \n", + " Parameters\n", + " ----------\n", + " envelope : NDArray[np.floating]\n", + " Amplitude envelope time series.\n", + " sigma_samples : float\n", + " Standard deviation of the Gaussian kernel in samples.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Smoothed envelope.\n", + " \"\"\"\n", + " return gaussian_filter1d(envelope, sigma=sigma_samples)\n", + "\n", + "\n", + "def smooth_envelope_lowpass(\n", + " envelope: NDArray[np.floating],\n", + " fs: float,\n", + " cutoff: float = 2.0\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Smooth envelope by low-pass filtering.\n", + " \n", + " Parameters\n", + " ----------\n", + " envelope : NDArray[np.floating]\n", + " Amplitude envelope time series.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " cutoff : float, optional\n", + " Low-pass cutoff frequency in Hz (default: 2.0).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Smoothed envelope.\n", + " \"\"\"\n", + " from scipy.signal import butter, filtfilt\n", + " \n", + " # Design low-pass filter\n", + " nyq = fs / 2\n", + " normalized_cutoff = cutoff / nyq\n", + " b, a = butter(4, normalized_cutoff, btype='low')\n", + " \n", + " # Apply zero-phase filtering\n", + " return filtfilt(b, a, envelope)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6fb0727f", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 6: Comparing Smoothing Methods\n", + "# ============================================================================\n", + "\n", + "# Create a noisy envelope for demonstration\n", + "np.random.seed(456)\n", + "fs_smooth = 250\n", + "duration_smooth = 4.0\n", + "t_smooth = np.arange(0, duration_smooth, 1/fs_smooth)\n", + "\n", + "# True underlying envelope (smooth)\n", + "true_envelope = 0.5 + 0.3 * np.sin(2 * np.pi * 0.5 * t_smooth)\n", + "true_envelope += 0.4 * np.exp(-((t_smooth - 2) ** 2) / 0.3)\n", + "\n", + "# Add noise to create \"raw\" envelope\n", + "raw_envelope = true_envelope + 0.15 * np.random.randn(len(t_smooth))\n", + "raw_envelope = np.maximum(raw_envelope, 0) # Envelope must be positive\n", + "\n", + "# Apply smoothing methods\n", + "window_ms = 50 # 50 ms window\n", + "window_samples = int(window_ms * fs_smooth / 1000)\n", + "\n", + "sigma_ms = 20 # 20 ms sigma\n", + "sigma_samples = sigma_ms * fs_smooth / 1000\n", + "\n", + "smooth_ma = smooth_envelope_moving_average(raw_envelope, window_samples)\n", + "smooth_gauss = smooth_envelope_gaussian(raw_envelope, sigma_samples)\n", + "smooth_lp = smooth_envelope_lowpass(raw_envelope, fs_smooth, cutoff=2.0)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Top left: Raw vs True\n", + "axes[0, 0].plot(t_smooth, true_envelope, color='black', linewidth=2, \n", + " linestyle='--', label='True envelope')\n", + "axes[0, 0].plot(t_smooth, raw_envelope, color='gray', linewidth=1, \n", + " alpha=0.7, label='Noisy envelope')\n", + "axes[0, 0].set_xlabel('Time (s)', fontsize=11)\n", + "axes[0, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 0].set_title('Raw Noisy Envelope vs True', fontsize=12, fontweight='bold')\n", + "axes[0, 0].legend(loc='upper right')\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Top right: Moving average\n", + "axes[0, 1].plot(t_smooth, true_envelope, color='black', linewidth=2, \n", + " linestyle='--', label='True', alpha=0.5)\n", + "axes[0, 1].plot(t_smooth, raw_envelope, color='gray', linewidth=0.5, alpha=0.3)\n", + "axes[0, 1].plot(t_smooth, smooth_ma, color=PRIMARY_BLUE, linewidth=2, \n", + " label=f'Moving avg ({window_ms} ms)')\n", + "axes[0, 1].set_xlabel('Time (s)', fontsize=11)\n", + "axes[0, 1].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 1].set_title('Moving Average Smoothing', fontsize=12, fontweight='bold')\n", + "axes[0, 1].legend(loc='upper right')\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Bottom left: Gaussian\n", + "axes[1, 0].plot(t_smooth, true_envelope, color='black', linewidth=2, \n", + " linestyle='--', label='True', alpha=0.5)\n", + "axes[1, 0].plot(t_smooth, raw_envelope, color='gray', linewidth=0.5, alpha=0.3)\n", + "axes[1, 0].plot(t_smooth, smooth_gauss, color=PRIMARY_GREEN, linewidth=2, \n", + " label=f'Gaussian (σ={sigma_ms} ms)')\n", + "axes[1, 0].set_xlabel('Time (s)', fontsize=11)\n", + "axes[1, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[1, 0].set_title('Gaussian Smoothing', fontsize=12, fontweight='bold')\n", + "axes[1, 0].legend(loc='upper right')\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom right: Low-pass\n", + "axes[1, 1].plot(t_smooth, true_envelope, color='black', linewidth=2, \n", + " linestyle='--', label='True', alpha=0.5)\n", + "axes[1, 1].plot(t_smooth, raw_envelope, color='gray', linewidth=0.5, alpha=0.3)\n", + "axes[1, 1].plot(t_smooth, smooth_lp, color=ACCENT_PURPLE, linewidth=2, \n", + " label='Low-pass (2 Hz)')\n", + "axes[1, 1].set_xlabel('Time (s)', fontsize=11)\n", + "axes[1, 1].set_ylabel('Amplitude', fontsize=11)\n", + "axes[1, 1].set_title('Low-Pass Filtering', fontsize=12, fontweight='bold')\n", + "axes[1, 1].legend(loc='upper right')\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 6: Envelope Smoothing Methods', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Compare errors\n", + "mse_raw = np.mean((raw_envelope - true_envelope) ** 2)\n", + "mse_ma = np.mean((smooth_ma - true_envelope) ** 2)\n", + "mse_gauss = np.mean((smooth_gauss - true_envelope) ** 2)\n", + "mse_lp = np.mean((smooth_lp - true_envelope) ** 2)\n", + "\n", + "print(\"Mean Squared Error from true envelope:\")\n", + "print(f\" Raw: {mse_raw:.4f}\")\n", + "print(f\" Moving average: {mse_ma:.4f}\")\n", + "print(f\" Gaussian: {mse_gauss:.4f}\")\n", + "print(f\" Low-pass: {mse_lp:.4f}\")\n", + "print(\"\\n→ All smoothing methods improve the estimate!\")" + ] + }, + { + "cell_type": "markdown", + "id": "39b9514b", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 7. Envelope Correlation — Preview of Connectivity\n", + "\n", + "Two signals can have **correlated amplitude fluctuations** even if their phases are unrelated.\n", + "\n", + "**Envelope correlation** measures this amplitude coupling:\n", + "- Compute envelope for each signal\n", + "- Calculate Pearson correlation between the two envelopes\n", + "\n", + "**Interpretation**: When signal 1 is \"strong\", is signal 2 also \"strong\"?\n", + "\n", + "This is **fundamentally different** from phase synchronization:\n", + "- PLV measures phase coupling (timing alignment)\n", + "- Envelope correlation measures amplitude coupling (power co-fluctuation)\n", + "\n", + "Both can occur independently or together!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a616112e", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 6: compute_envelope_correlation\n", + "# ============================================================================\n", + "\n", + "def compute_envelope_correlation(\n", + " signal1: NDArray[np.floating],\n", + " signal2: NDArray[np.floating],\n", + " fs: float,\n", + " band: Tuple[float, float]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute envelope correlation between two signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal1 : NDArray[np.floating]\n", + " First input signal.\n", + " signal2 : NDArray[np.floating]\n", + " Second input signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : Tuple[float, float]\n", + " Frequency band as (low_freq, high_freq) in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Pearson correlation coefficient between envelopes.\n", + " \"\"\"\n", + " # Extract envelopes\n", + " env1 = extract_envelope(signal1, fs, band)\n", + " env2 = extract_envelope(signal2, fs, band)\n", + " \n", + " # Compute Pearson correlation\n", + " corr, _ = pearsonr(env1, env2)\n", + " \n", + " return corr" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "46713e9e", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 7: Correlated Envelopes\n", + "# ============================================================================\n", + "\n", + "# Create two signals with CORRELATED envelopes but INDEPENDENT phases\n", + "np.random.seed(789)\n", + "fs_corr = 250\n", + "duration_corr = 6.0\n", + "t_corr = np.arange(0, duration_corr, 1/fs_corr)\n", + "\n", + "# Shared envelope modulation\n", + "shared_modulation = 0.5 + 0.5 * np.sin(2 * np.pi * 0.4 * t_corr)\n", + "shared_modulation += 0.3 * np.exp(-((t_corr - 3) ** 2) / 0.5)\n", + "\n", + "# Signal 1: alpha with shared modulation\n", + "phase1 = 2 * np.pi * 10 * t_corr + np.random.uniform(0, 2*np.pi)\n", + "signal1_corr = shared_modulation * np.sin(phase1) + 0.1 * np.random.randn(len(t_corr))\n", + "\n", + "# Signal 2: alpha with shared modulation but DIFFERENT phase\n", + "phase2 = 2 * np.pi * 10 * t_corr + np.random.uniform(0, 2*np.pi) # Independent phase\n", + "signal2_corr = shared_modulation * np.sin(phase2) + 0.1 * np.random.randn(len(t_corr))\n", + "\n", + "# Extract envelopes\n", + "env1_corr = extract_envelope(signal1_corr, fs_corr, (8, 13))\n", + "env2_corr = extract_envelope(signal2_corr, fs_corr, (8, 13))\n", + "\n", + "# Compute correlation\n", + "env_correlation = np.corrcoef(env1_corr, env2_corr)[0, 1]\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Top left: Signal 1 with envelope\n", + "axes[0, 0].plot(t_corr, bandpass_filter(signal1_corr, 8, 13, fs_corr), \n", + " color=PRIMARY_BLUE, linewidth=0.5, alpha=0.5)\n", + "axes[0, 0].plot(t_corr, env1_corr, color=PRIMARY_BLUE, linewidth=2, label='Envelope 1')\n", + "axes[0, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 0].set_title('Signal 1 (Alpha)', fontsize=12, fontweight='bold')\n", + "axes[0, 0].legend(loc='upper right')\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Top right: Signal 2 with envelope\n", + "axes[0, 1].plot(t_corr, bandpass_filter(signal2_corr, 8, 13, fs_corr), \n", + " color=PRIMARY_RED, linewidth=0.5, alpha=0.5)\n", + "axes[0, 1].plot(t_corr, env2_corr, color=PRIMARY_RED, linewidth=2, label='Envelope 2')\n", + "axes[0, 1].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 1].set_title('Signal 2 (Alpha)', fontsize=12, fontweight='bold')\n", + "axes[0, 1].legend(loc='upper right')\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Bottom left: Both envelopes overlaid\n", + "axes[1, 0].plot(t_corr, env1_corr, color=PRIMARY_BLUE, linewidth=2, label='Envelope 1')\n", + "axes[1, 0].plot(t_corr, env2_corr, color=PRIMARY_RED, linewidth=2, label='Envelope 2')\n", + "axes[1, 0].set_xlabel('Time (s)', fontsize=11)\n", + "axes[1, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[1, 0].set_title('Envelopes Overlaid: They Co-Fluctuate!', fontsize=12, fontweight='bold')\n", + "axes[1, 0].legend(loc='upper right')\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom right: Scatter plot\n", + "axes[1, 1].scatter(env1_corr, env2_corr, color=ACCENT_PURPLE, alpha=0.3, s=20)\n", + "# Add regression line\n", + "z = np.polyfit(env1_corr, env2_corr, 1)\n", + "p = np.poly1d(z)\n", + "env1_sorted = np.sort(env1_corr)\n", + "axes[1, 1].plot(env1_sorted, p(env1_sorted), color='black', linewidth=2, linestyle='--')\n", + "axes[1, 1].set_xlabel('Envelope 1', fontsize=11)\n", + "axes[1, 1].set_ylabel('Envelope 2', fontsize=11)\n", + "axes[1, 1].set_title(f'Envelope Correlation: r = {env_correlation:.3f}', \n", + " fontsize=12, fontweight='bold', color=PRIMARY_GREEN)\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 7: Amplitude Coupling (Correlated Envelopes)', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Envelope correlation: {env_correlation:.3f}\")\n", + "print(\"→ High correlation means amplitudes co-fluctuate!\")\n", + "print(\"→ Note: Phases were independent — this is pure amplitude coupling\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3067274e", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 8: Uncorrelated Envelopes\n", + "# ============================================================================\n", + "\n", + "# Create two signals with INDEPENDENT envelopes\n", + "np.random.seed(321)\n", + "\n", + "# Signal 1: its own modulation pattern\n", + "mod1 = 0.5 + 0.5 * np.sin(2 * np.pi * 0.3 * t_corr)\n", + "signal1_indep = mod1 * np.sin(2 * np.pi * 10 * t_corr) + 0.1 * np.random.randn(len(t_corr))\n", + "\n", + "# Signal 2: different modulation pattern\n", + "mod2 = 0.5 + 0.5 * np.sin(2 * np.pi * 0.5 * t_corr + np.pi) # Different freq & phase\n", + "mod2 += 0.3 * np.exp(-((t_corr - 1.5) ** 2) / 0.3) # Burst at different time\n", + "signal2_indep = mod2 * np.sin(2 * np.pi * 10 * t_corr) + 0.1 * np.random.randn(len(t_corr))\n", + "\n", + "# Extract envelopes\n", + "env1_indep = extract_envelope(signal1_indep, fs_corr, (8, 13))\n", + "env2_indep = extract_envelope(signal2_indep, fs_corr, (8, 13))\n", + "\n", + "# Compute correlation\n", + "env_correlation_indep = np.corrcoef(env1_indep, env2_indep)[0, 1]\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Top left: Signal 1 with envelope\n", + "axes[0, 0].plot(t_corr, bandpass_filter(signal1_indep, 8, 13, fs_corr), \n", + " color=PRIMARY_BLUE, linewidth=0.5, alpha=0.5)\n", + "axes[0, 0].plot(t_corr, env1_indep, color=PRIMARY_BLUE, linewidth=2, label='Envelope 1')\n", + "axes[0, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 0].set_title('Signal 1 (Alpha)', fontsize=12, fontweight='bold')\n", + "axes[0, 0].legend(loc='upper right')\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Top right: Signal 2 with envelope\n", + "axes[0, 1].plot(t_corr, bandpass_filter(signal2_indep, 8, 13, fs_corr), \n", + " color=PRIMARY_RED, linewidth=0.5, alpha=0.5)\n", + "axes[0, 1].plot(t_corr, env2_indep, color=PRIMARY_RED, linewidth=2, label='Envelope 2')\n", + "axes[0, 1].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 1].set_title('Signal 2 (Alpha)', fontsize=12, fontweight='bold')\n", + "axes[0, 1].legend(loc='upper right')\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Bottom left: Both envelopes overlaid\n", + "axes[1, 0].plot(t_corr, env1_indep, color=PRIMARY_BLUE, linewidth=2, label='Envelope 1')\n", + "axes[1, 0].plot(t_corr, env2_indep, color=PRIMARY_RED, linewidth=2, label='Envelope 2')\n", + "axes[1, 0].set_xlabel('Time (s)', fontsize=11)\n", + "axes[1, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[1, 0].set_title('Envelopes Overlaid: No Co-Fluctuation', fontsize=12, fontweight='bold')\n", + "axes[1, 0].legend(loc='upper right')\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom right: Scatter plot\n", + "axes[1, 1].scatter(env1_indep, env2_indep, color=ACCENT_PURPLE, alpha=0.3, s=20)\n", + "axes[1, 1].set_xlabel('Envelope 1', fontsize=11)\n", + "axes[1, 1].set_ylabel('Envelope 2', fontsize=11)\n", + "axes[1, 1].set_title(f'Envelope Correlation: r = {env_correlation_indep:.3f}', \n", + " fontsize=12, fontweight='bold', color=PRIMARY_RED)\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 8: No Amplitude Coupling (Uncorrelated Envelopes)', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Envelope correlation: {env_correlation_indep:.3f}\")\n", + "print(\"→ Low correlation means amplitudes fluctuate independently\")\n", + "print(\"→ No amplitude coupling between these signals\")" + ] + }, + { + "cell_type": "markdown", + "id": "b274d6ba", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 8. The Volume Conduction Problem for Amplitude\n", + "\n", + "Volume conduction affects amplitude metrics too!\n", + "\n", + "If two EEG channels pick up the **same underlying source**, their envelopes will be \n", + "highly correlated — but this is **spurious correlation**, not true connectivity.\n", + "\n", + "**Solutions** (briefly mentioned here, detailed in later notebooks):\n", + "- **Orthogonalization**: Remove the shared signal component before correlation\n", + "- **Source localization**: Analyze in source space rather than sensor space\n", + "- **Laplacian reference**: Spatial filtering to reduce volume conduction\n", + "\n", + "This is why imaginary coherence (F02) and orthogonalized amplitude correlation (H01)\n", + "are preferred in many connectivity analyses." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0f65169b", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 9: Volume Conduction Creates Spurious Envelope Correlation\n", + "# ============================================================================\n", + "\n", + "# Simulate volume conduction: one source, two sensors\n", + "np.random.seed(555)\n", + "fs_vc = 250\n", + "duration_vc = 5.0\n", + "t_vc = np.arange(0, duration_vc, 1/fs_vc)\n", + "\n", + "# True source signal with amplitude modulation\n", + "source_mod = 0.5 + 0.5 * np.sin(2 * np.pi * 0.5 * t_vc)\n", + "source_signal = source_mod * np.sin(2 * np.pi * 10 * t_vc)\n", + "\n", + "# Two channels \"pick up\" the same source with different weights + independent noise\n", + "weight1, weight2 = 1.0, 0.7 # Different mixing weights\n", + "noise_level = 0.15\n", + "\n", + "channel1 = weight1 * source_signal + noise_level * np.random.randn(len(t_vc))\n", + "channel2 = weight2 * source_signal + noise_level * np.random.randn(len(t_vc))\n", + "\n", + "# Extract envelopes\n", + "env_ch1 = extract_envelope(channel1, fs_vc, (8, 13))\n", + "env_ch2 = extract_envelope(channel2, fs_vc, (8, 13))\n", + "\n", + "# Compute correlation\n", + "spurious_corr = np.corrcoef(env_ch1, env_ch2)[0, 1]\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 9))\n", + "\n", + "# Top left: Source signal\n", + "axes[0, 0].plot(t_vc, source_signal, color='black', linewidth=1, alpha=0.7, label='Source')\n", + "axes[0, 0].plot(t_vc, source_mod, color=PRIMARY_RED, linewidth=2, linestyle='--', \n", + " label='True envelope')\n", + "axes[0, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 0].set_title('True Source Signal (One Neural Source)', fontsize=12, fontweight='bold')\n", + "axes[0, 0].legend(loc='upper right')\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Top right: Two channels\n", + "axes[0, 1].plot(t_vc, channel1, color=PRIMARY_BLUE, linewidth=0.5, alpha=0.5, label='Channel 1')\n", + "axes[0, 1].plot(t_vc, channel2 + 3, color=ACCENT_PURPLE, linewidth=0.5, alpha=0.5, \n", + " label='Channel 2 (offset)')\n", + "axes[0, 1].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 1].set_title('Two EEG Channels: Same Source + Noise', fontsize=12, fontweight='bold')\n", + "axes[0, 1].legend(loc='upper right')\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Bottom left: Envelopes\n", + "axes[1, 0].plot(t_vc, env_ch1, color=PRIMARY_BLUE, linewidth=2, label='Envelope Ch1')\n", + "axes[1, 0].plot(t_vc, env_ch2, color=ACCENT_PURPLE, linewidth=2, label='Envelope Ch2')\n", + "axes[1, 0].set_xlabel('Time (s)', fontsize=11)\n", + "axes[1, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[1, 0].set_title('Envelopes are Highly Similar (Spuriously!)', \n", + " fontsize=12, fontweight='bold', color=PRIMARY_RED)\n", + "axes[1, 0].legend(loc='upper right')\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom right: Warning\n", + "axes[1, 1].scatter(env_ch1, env_ch2, color=ACCENT_PURPLE, alpha=0.3, s=20)\n", + "z = np.polyfit(env_ch1, env_ch2, 1)\n", + "p = np.poly1d(z)\n", + "env1_sorted = np.sort(env_ch1)\n", + "axes[1, 1].plot(env1_sorted, p(env1_sorted), color=PRIMARY_RED, linewidth=3)\n", + "axes[1, 1].set_xlabel('Envelope Ch1', fontsize=11)\n", + "axes[1, 1].set_ylabel('Envelope Ch2', fontsize=11)\n", + "axes[1, 1].set_title(f'SPURIOUS r = {spurious_corr:.3f}', \n", + " fontsize=12, fontweight='bold', color=PRIMARY_RED)\n", + "\n", + "# Add warning text\n", + "axes[1, 1].text(0.5, 0.15, '⚠️ NOT real connectivity!\\nJust volume conduction', \n", + " transform=axes[1, 1].transAxes, fontsize=11, ha='center',\n", + " color=PRIMARY_RED, fontweight='bold',\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=PRIMARY_RED))\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle('Visualization 9: Volume Conduction Creates Spurious Correlation', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"⚠️ Spurious envelope correlation: {spurious_corr:.3f}\")\n", + "print(\"This is NOT true connectivity — both channels simply measure the same source!\")\n", + "print(\"→ Solution: Use orthogonalization or source localization (covered in H01)\")" + ] + }, + { + "cell_type": "markdown", + "id": "c031c5df", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 9. Envelope Dynamics Across Frequency Bands\n", + "\n", + "Different frequency bands have characteristic envelope dynamics:\n", + "\n", + "| Band | Frequency | Typical Envelope Dynamics |\n", + "|------|-----------|---------------------------|\n", + "| **Theta** | 4-8 Hz | Slow, sustained fluctuations |\n", + "| **Alpha** | 8-13 Hz | Clear bursts, ~0.5-2s dynamics |\n", + "| **Beta** | 13-30 Hz | Faster fluctuations, ~0.2-0.5s |\n", + "| **Gamma** | 30-100 Hz | Very fast, often brief bursts |\n", + "\n", + "These differences matter for connectivity analysis — the timescale of envelope\n", + "correlation depends on the frequency band being analyzed." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2e012ced", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 10: Envelope Dynamics Across All Frequency Bands\n", + "# ============================================================================\n", + "\n", + "# Generate a rich EEG-like signal with multiple components\n", + "np.random.seed(777)\n", + "fs_bands = 250\n", + "duration_bands = 8.0\n", + "t_bands = np.arange(0, duration_bands, 1/fs_bands)\n", + "\n", + "# Create realistic multi-band signal\n", + "# Delta (slow background)\n", + "delta = 0.5 * np.sin(2 * np.pi * 2 * t_bands)\n", + "\n", + "# Theta with slow modulation\n", + "theta_mod_bands = 0.5 + 0.5 * np.sin(2 * np.pi * 0.2 * t_bands)\n", + "theta_bands = theta_mod_bands * np.sin(2 * np.pi * 6 * t_bands)\n", + "\n", + "# Alpha with burst pattern\n", + "alpha_mod_bands = 0.3 + 0.7 * np.exp(-((t_bands - 2) ** 2) / 0.8)\n", + "alpha_mod_bands += 0.5 * np.exp(-((t_bands - 5) ** 2) / 0.5)\n", + "alpha_mod_bands += 0.6 * np.exp(-((t_bands - 7) ** 2) / 0.4)\n", + "alpha_bands = alpha_mod_bands * np.sin(2 * np.pi * 10 * t_bands)\n", + "\n", + "# Beta with faster fluctuations\n", + "beta_mod_bands = 0.4 + 0.4 * np.sin(2 * np.pi * 0.7 * t_bands)\n", + "beta_bands = beta_mod_bands * np.sin(2 * np.pi * 22 * t_bands)\n", + "\n", + "# Gamma with brief bursts\n", + "gamma_mod_bands = 0.2 + 0.3 * np.exp(-((t_bands - 3) ** 2) / 0.1)\n", + "gamma_mod_bands += 0.25 * np.exp(-((t_bands - 6) ** 2) / 0.15)\n", + "gamma_bands = gamma_mod_bands * np.sin(2 * np.pi * 45 * t_bands)\n", + "\n", + "# Combine\n", + "eeg_multiband = delta + theta_bands + alpha_bands + 0.5 * beta_bands + 0.3 * gamma_bands\n", + "eeg_multiband += 0.2 * np.random.randn(len(t_bands))\n", + "\n", + "# Extract envelopes for each band\n", + "bands = {\n", + " 'Theta (4-8 Hz)': (4, 8),\n", + " 'Alpha (8-13 Hz)': (8, 13),\n", + " 'Beta (13-30 Hz)': (13, 30),\n", + " 'Gamma (30-60 Hz)': (30, 60)\n", + "}\n", + "band_colors = [COLORS[\"theta\"], COLORS[\"alpha\"], COLORS[\"beta\"], COLORS[\"gamma\"]]\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(5, 1, figsize=(14, 14), sharex=True)\n", + "\n", + "# Raw signal\n", + "axes[0].plot(t_bands, eeg_multiband, color='gray', linewidth=0.5, alpha=0.7)\n", + "axes[0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0].set_title('Raw Multi-Band EEG Signal', fontsize=12, fontweight='bold')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Each band\n", + "for i, ((band_name, (low, high)), color) in enumerate(zip(bands.items(), band_colors)):\n", + " env = extract_envelope(eeg_multiband, fs_bands, (low, high))\n", + " env_norm = env / env.max() # Normalize for comparison\n", + " \n", + " filt = bandpass_filter(eeg_multiband, low, high, fs_bands)\n", + " filt_norm = filt / np.abs(filt).max()\n", + " \n", + " axes[i+1].plot(t_bands, filt_norm, color=color, linewidth=0.3, alpha=0.4)\n", + " axes[i+1].plot(t_bands, env_norm, color=color, linewidth=2.5, label=band_name)\n", + " axes[i+1].plot(t_bands, -env_norm, color=color, linewidth=2.5)\n", + " axes[i+1].set_ylabel(f'{band_name.split()[0]}', fontsize=11)\n", + " axes[i+1].set_title(f'{band_name}: {\"Slow\" if i < 2 else \"Faster\"} Envelope Dynamics', \n", + " fontsize=12, fontweight='bold')\n", + " axes[i+1].legend(loc='upper right')\n", + " axes[i+1].grid(True, alpha=0.3)\n", + " axes[i+1].set_ylim(-1.3, 1.3)\n", + "\n", + "axes[4].set_xlabel('Time (s)', fontsize=12)\n", + "\n", + "plt.suptitle('Visualization 10: Envelope Dynamics Differ Across Frequency Bands', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Observations:\")\n", + "print(\"- Theta: Slow, sustained envelope changes\")\n", + "print(\"- Alpha: Clear burst pattern (waxing and waning)\")\n", + "print(\"- Beta: Faster envelope fluctuations\")\n", + "print(\"- Gamma: Brief, transient bursts\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0e5e2e64", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 11: Cross-Band Envelope Correlation Matrix\n", + "# ============================================================================\n", + "\n", + "# Extract all envelopes\n", + "band_names = list(bands.keys())\n", + "envelopes = []\n", + "for band_name, (low, high) in bands.items():\n", + " env = extract_envelope(eeg_multiband, fs_bands, (low, high))\n", + " envelopes.append(env)\n", + "\n", + "# Compute correlation matrix\n", + "n_bands = len(band_names)\n", + "corr_matrix = np.zeros((n_bands, n_bands))\n", + "\n", + "for i in range(n_bands):\n", + " for j in range(n_bands):\n", + " corr_matrix[i, j] = np.corrcoef(envelopes[i], envelopes[j])[0, 1]\n", + "\n", + "# Create figure\n", + "fig, ax = plt.subplots(figsize=(8, 7))\n", + "\n", + "# Plot heatmap\n", + "im = ax.imshow(corr_matrix, cmap='RdBu_r', vmin=-1, vmax=1)\n", + "\n", + "# Add colorbar\n", + "cbar = plt.colorbar(im, ax=ax, shrink=0.8)\n", + "cbar.set_label('Correlation', fontsize=12)\n", + "\n", + "# Add labels\n", + "short_names = ['Theta', 'Alpha', 'Beta', 'Gamma']\n", + "ax.set_xticks(range(n_bands))\n", + "ax.set_yticks(range(n_bands))\n", + "ax.set_xticklabels(short_names, fontsize=11)\n", + "ax.set_yticklabels(short_names, fontsize=11)\n", + "\n", + "# Add correlation values as text\n", + "for i in range(n_bands):\n", + " for j in range(n_bands):\n", + " color = 'white' if abs(corr_matrix[i, j]) > 0.5 else 'black'\n", + " ax.text(j, i, f'{corr_matrix[i, j]:.2f}', ha='center', va='center', \n", + " fontsize=12, fontweight='bold', color=color)\n", + "\n", + "ax.set_title('Cross-Band Envelope Correlation Matrix', fontsize=14, fontweight='bold')\n", + "ax.set_xlabel('Frequency Band', fontsize=12)\n", + "ax.set_ylabel('Frequency Band', fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Interpretation:\")\n", + "print(\"- Diagonal = 1.0 (each band correlates perfectly with itself)\")\n", + "print(\"- Off-diagonal values show cross-frequency amplitude coupling\")\n", + "print(\"- Adjacent bands often show higher correlation\")" + ] + }, + { + "cell_type": "markdown", + "id": "0b534133", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 10. Envelope Statistics\n", + "\n", + "We can quantify envelope properties with various statistics:\n", + "\n", + "| Statistic | Definition | Interpretation |\n", + "|-----------|------------|----------------|\n", + "| **Mean** | Average envelope | Overall oscillation strength |\n", + "| **Std** | Standard deviation | Variability of amplitude |\n", + "| **CV** | std/mean | Normalized variability |\n", + "| **Median** | 50th percentile | Robust central tendency |\n", + "| **P25, P75** | Quartiles | Distribution spread |\n", + "\n", + "These statistics describe the oscillation's \"behavior\" over a recording." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "77d4268f", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 7: compute_envelope_statistics\n", + "# ============================================================================\n", + "\n", + "def compute_envelope_statistics(\n", + " envelope: NDArray[np.floating]\n", + ") -> dict:\n", + " \"\"\"\n", + " Compute comprehensive statistics for an amplitude envelope.\n", + " \n", + " Parameters\n", + " ----------\n", + " envelope : NDArray[np.floating]\n", + " Amplitude envelope time series.\n", + " \n", + " Returns\n", + " -------\n", + " dict\n", + " Dictionary containing:\n", + " - mean: Mean envelope value\n", + " - std: Standard deviation\n", + " - cv: Coefficient of variation (std/mean)\n", + " - median: 50th percentile\n", + " - p25: 25th percentile\n", + " - p75: 75th percentile\n", + " - iqr: Interquartile range (p75 - p25)\n", + " - min: Minimum value\n", + " - max: Maximum value\n", + " \"\"\"\n", + " mean_val = np.mean(envelope)\n", + " std_val = np.std(envelope)\n", + " \n", + " return {\n", + " 'mean': mean_val,\n", + " 'std': std_val,\n", + " 'cv': std_val / mean_val if mean_val > 0 else np.nan,\n", + " 'median': np.median(envelope),\n", + " 'p25': np.percentile(envelope, 25),\n", + " 'p75': np.percentile(envelope, 75),\n", + " 'iqr': np.percentile(envelope, 75) - np.percentile(envelope, 25),\n", + " 'min': np.min(envelope),\n", + " 'max': np.max(envelope)\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bca77bfd", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 12: Envelope Statistics Visualization\n", + "# ============================================================================\n", + "\n", + "# Use alpha envelope from earlier\n", + "env_for_stats = extract_envelope(eeg_multiband, fs_bands, (8, 13))\n", + "stats = compute_envelope_statistics(env_for_stats)\n", + "\n", + "# Create figure with GridSpec\n", + "fig = plt.figure(figsize=(14, 6))\n", + "gs = fig.add_gridspec(1, 4, width_ratios=[3, 0.8, 0.1, 1.2])\n", + "\n", + "# Main time series plot\n", + "ax_main = fig.add_subplot(gs[0])\n", + "ax_main.plot(t_bands, env_for_stats, color=COLORS[\"alpha\"], linewidth=1.5, alpha=0.8)\n", + "\n", + "# Add horizontal lines for statistics\n", + "ax_main.axhline(y=stats['mean'], color=PRIMARY_RED, linestyle='-', linewidth=2, \n", + " label=f\"Mean = {stats['mean']:.3f}\")\n", + "ax_main.axhline(y=stats['median'], color=PRIMARY_GREEN, linestyle='--', linewidth=2,\n", + " label=f\"Median = {stats['median']:.3f}\")\n", + "\n", + "# Shade IQR region\n", + "ax_main.axhspan(stats['p25'], stats['p75'], color='gray', alpha=0.2, \n", + " label=f\"IQR [{stats['p25']:.2f}, {stats['p75']:.2f}]\")\n", + "\n", + "ax_main.set_xlabel('Time (s)', fontsize=12)\n", + "ax_main.set_ylabel('Envelope Amplitude', fontsize=12)\n", + "ax_main.set_title('Alpha Envelope with Statistics', fontsize=12, fontweight='bold')\n", + "ax_main.legend(loc='upper right')\n", + "ax_main.grid(True, alpha=0.3)\n", + "\n", + "# Histogram (rotated)\n", + "ax_hist = fig.add_subplot(gs[1], sharey=ax_main)\n", + "ax_hist.hist(env_for_stats, bins=30, orientation='horizontal', color=COLORS[\"alpha\"], \n", + " alpha=0.7, edgecolor='white')\n", + "ax_hist.axhline(y=stats['mean'], color=PRIMARY_RED, linestyle='-', linewidth=2)\n", + "ax_hist.axhline(y=stats['median'], color=PRIMARY_GREEN, linestyle='--', linewidth=2)\n", + "ax_hist.axhspan(stats['p25'], stats['p75'], color='gray', alpha=0.2)\n", + "ax_hist.set_xlabel('Count', fontsize=11)\n", + "ax_hist.set_title('Distribution', fontsize=11, fontweight='bold')\n", + "plt.setp(ax_hist.get_yticklabels(), visible=False)\n", + "\n", + "# Statistics table\n", + "ax_table = fig.add_subplot(gs[3])\n", + "ax_table.axis('off')\n", + "\n", + "# Create table data\n", + "table_data = [\n", + " ['Statistic', 'Value'],\n", + " ['Mean', f\"{stats['mean']:.4f}\"],\n", + " ['Std', f\"{stats['std']:.4f}\"],\n", + " ['CV', f\"{stats['cv']:.4f}\"],\n", + " ['Median', f\"{stats['median']:.4f}\"],\n", + " ['P25', f\"{stats['p25']:.4f}\"],\n", + " ['P75', f\"{stats['p75']:.4f}\"],\n", + " ['IQR', f\"{stats['iqr']:.4f}\"],\n", + " ['Min', f\"{stats['min']:.4f}\"],\n", + " ['Max', f\"{stats['max']:.4f}\"]\n", + "]\n", + "\n", + "table = ax_table.table(cellText=table_data, loc='center', cellLoc='center',\n", + " colWidths=[0.5, 0.5])\n", + "table.auto_set_font_size(False)\n", + "table.set_fontsize(10)\n", + "table.scale(1.2, 1.5)\n", + "\n", + "# Style header row\n", + "for i in range(2):\n", + " table[(0, i)].set_facecolor('#E6E6E6')\n", + " table[(0, i)].set_text_props(fontweight='bold')\n", + "\n", + "ax_table.set_title('Envelope Statistics', fontsize=12, fontweight='bold', pad=20)\n", + "\n", + "plt.suptitle('Visualization 12: Comprehensive Envelope Statistics', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Coefficient of Variation (CV) = {stats['cv']:.3f}\")\n", + "print(\"→ CV indicates how variable the envelope is relative to its mean\")" + ] + }, + { + "cell_type": "markdown", + "id": "3970301b", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 11. Practical Application — Alpha Blocking\n", + "\n", + "**Alpha blocking** is a classic EEG phenomenon:\n", + "- When eyes are **closed**: Strong posterior alpha activity\n", + "- When eyes **open**: Alpha amplitude decreases dramatically\n", + "\n", + "This demonstrates the utility of envelope analysis for detecting cognitive state changes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1a75d652", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 13: Alpha Blocking Demonstration\n", + "# ============================================================================\n", + "\n", + "# Simulate alpha blocking: eyes closed → eyes open\n", + "np.random.seed(888)\n", + "fs_block = 250\n", + "duration_block = 10.0 # 5s eyes closed, 5s eyes open\n", + "t_block = np.arange(0, duration_block, 1/fs_block)\n", + "transition_time = 5.0 # seconds\n", + "\n", + "# Create amplitude modulation (high before transition, low after)\n", + "alpha_amp = np.ones(len(t_block))\n", + "# Eyes closed: high alpha\n", + "alpha_amp[t_block < transition_time] = 1.0\n", + "# Eyes open: low alpha (blocking)\n", + "alpha_amp[t_block >= transition_time] = 0.25\n", + "# Smooth the transition\n", + "transition_samples = int(0.5 * fs_block) # 0.5s transition\n", + "trans_idx = int(transition_time * fs_block)\n", + "alpha_amp[trans_idx:trans_idx + transition_samples] = np.linspace(1.0, 0.25, transition_samples)\n", + "\n", + "# Generate alpha signal\n", + "alpha_block = alpha_amp * np.sin(2 * np.pi * 10 * t_block)\n", + "alpha_block += 0.15 * np.random.randn(len(t_block))\n", + "\n", + "# Add some background noise\n", + "full_signal = alpha_block + 0.1 * np.random.randn(len(t_block))\n", + "\n", + "# Extract alpha envelope\n", + "env_block = extract_envelope(full_signal, fs_block, (8, 13))\n", + "env_smooth = smooth_envelope_gaussian(env_block, sigma_samples=25)\n", + "\n", + "# Compute statistics for each period\n", + "mask_closed = t_block < transition_time\n", + "mask_open = t_block >= transition_time\n", + "mean_closed = np.mean(env_smooth[mask_closed])\n", + "mean_open = np.mean(env_smooth[mask_open])\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 10), sharex=True)\n", + "\n", + "# Raw signal\n", + "axes[0].plot(t_block, full_signal, color='gray', linewidth=0.5, alpha=0.7)\n", + "axes[0].axvline(x=transition_time, color=PRIMARY_RED, linestyle='--', linewidth=2,\n", + " label='Eyes open')\n", + "axes[0].axvspan(0, transition_time, color=PRIMARY_BLUE, alpha=0.1, label='Eyes closed')\n", + "axes[0].axvspan(transition_time, duration_block, color=PRIMARY_GREEN, alpha=0.1, \n", + " label='Eyes open')\n", + "axes[0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0].set_title('Raw EEG Signal: Alpha Blocking Paradigm', fontsize=12, fontweight='bold')\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Alpha-filtered with envelope\n", + "alpha_filt_block = bandpass_filter(full_signal, 8, 13, fs_block)\n", + "axes[1].plot(t_block, alpha_filt_block, color=COLORS[\"alpha\"], linewidth=0.5, alpha=0.5)\n", + "axes[1].plot(t_block, env_smooth, color=PRIMARY_RED, linewidth=2.5, label='Envelope (smoothed)')\n", + "axes[1].plot(t_block, -env_smooth, color=PRIMARY_RED, linewidth=2.5)\n", + "axes[1].axvline(x=transition_time, color='black', linestyle='--', linewidth=2)\n", + "axes[1].axhline(y=mean_closed, color=PRIMARY_BLUE, linestyle=':', linewidth=2,\n", + " label=f'Mean (closed) = {mean_closed:.3f}')\n", + "axes[1].axhline(y=mean_open, color=PRIMARY_GREEN, linestyle=':', linewidth=2,\n", + " label=f'Mean (open) = {mean_open:.3f}')\n", + "axes[1].set_ylabel('Alpha Amplitude', fontsize=11)\n", + "axes[1].set_title('Alpha Envelope Shows Clear Blocking Effect', fontsize=12, fontweight='bold')\n", + "axes[1].legend(loc='upper right')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Bar chart comparison\n", + "ax_bar = axes[2]\n", + "conditions = ['Eyes Closed', 'Eyes Open']\n", + "means = [mean_closed, mean_open]\n", + "colors_bar = [PRIMARY_BLUE, PRIMARY_GREEN]\n", + "bars = ax_bar.bar(conditions, means, color=colors_bar, edgecolor='black', linewidth=2)\n", + "ax_bar.set_ylabel('Mean Alpha Envelope', fontsize=11)\n", + "ax_bar.set_title('Alpha Blocking: Quantified Reduction', fontsize=12, fontweight='bold')\n", + "\n", + "# Add values on bars\n", + "for bar, val in zip(bars, means):\n", + " ax_bar.text(bar.get_x() + bar.get_width()/2, val + 0.02, f'{val:.3f}', \n", + " ha='center', fontweight='bold', fontsize=12)\n", + "\n", + "# Add percent change\n", + "pct_change = 100 * (mean_open - mean_closed) / mean_closed\n", + "ax_bar.text(0.5, 0.6, f'Change: {pct_change:.1f}%', transform=ax_bar.transAxes,\n", + " fontsize=14, ha='center', fontweight='bold', color=PRIMARY_RED)\n", + "ax_bar.grid(True, alpha=0.3, axis='y')\n", + "\n", + "axes[2].set_xlabel('Time (s)', fontsize=12)\n", + "\n", + "plt.suptitle('Visualization 13: Alpha Blocking — Classic EEG Phenomenon', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Mean envelope (eyes closed): {mean_closed:.4f}\")\n", + "print(f\"Mean envelope (eyes open): {mean_open:.4f}\")\n", + "print(f\"Reduction: {pct_change:.1f}%\")\n", + "print(\"\\n→ Envelope analysis clearly quantifies the alpha blocking effect!\")" + ] + }, + { + "cell_type": "markdown", + "id": "f542e664", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 12. Hyperscanning Application — Amplitude Coupling\n", + "\n", + "In hyperscanning, we can analyze **envelope correlation between participants**:\n", + "- Do both brains show co-fluctuation of oscillatory amplitude?\n", + "- This may reflect shared arousal, attention, or cognitive state\n", + "\n", + "**Key insight**: Amplitude coupling is a **different mechanism** than phase coupling.\n", + "Two participants might show:\n", + "- High PLV but low envelope correlation (phase sync, independent amplitudes)\n", + "- Low PLV but high envelope correlation (amplitude coupling, independent phases)\n", + "- Both high (full synchronization)\n", + "- Both low (no coupling)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "90185a10", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 14: Hyperscanning — Amplitude Coupling Between Participants\n", + "# ============================================================================\n", + "\n", + "# Simulate hyperscanning with amplitude coupling but INDEPENDENT phases\n", + "np.random.seed(999)\n", + "fs_hyper = 250\n", + "duration_hyper = 8.0\n", + "t_hyper = np.arange(0, duration_hyper, 1/fs_hyper)\n", + "\n", + "# Shared envelope modulation (both participants attend together)\n", + "shared_env = 0.4 + 0.6 * np.sin(2 * np.pi * 0.3 * t_hyper)\n", + "shared_env += 0.4 * np.exp(-((t_hyper - 4) ** 2) / 0.8) # Joint attention peak\n", + "\n", + "# Participant A: alpha with shared envelope, random phase\n", + "phase_A = 2 * np.pi * 10 * t_hyper + np.random.uniform(0, 2*np.pi)\n", + "phase_A += 0.5 * np.random.randn(len(t_hyper)).cumsum() / fs_hyper # Some drift\n", + "signal_A = shared_env * np.sin(phase_A) + 0.15 * np.random.randn(len(t_hyper))\n", + "\n", + "# Participant B: alpha with shared envelope, INDEPENDENT random phase\n", + "phase_B = 2 * np.pi * 10 * t_hyper + np.random.uniform(0, 2*np.pi)\n", + "phase_B += 0.5 * np.random.randn(len(t_hyper)).cumsum() / fs_hyper # Different drift\n", + "signal_B = shared_env * np.sin(phase_B) + 0.15 * np.random.randn(len(t_hyper))\n", + "\n", + "# Extract envelopes\n", + "env_A = extract_envelope(signal_A, fs_hyper, (8, 13))\n", + "env_B = extract_envelope(signal_B, fs_hyper, (8, 13))\n", + "\n", + "# Compute envelope correlation\n", + "env_corr_hyper = np.corrcoef(env_A, env_B)[0, 1]\n", + "\n", + "# Compute PLV (should be low since phases are independent)\n", + "from src.phase import compute_plv_simple\n", + "filt_A = bandpass_filter(signal_A, 8, 13, fs_hyper)\n", + "filt_B = bandpass_filter(signal_B, 8, 13, fs_hyper)\n", + "phase_inst_A = np.angle(hilbert(filt_A))\n", + "phase_inst_B = np.angle(hilbert(filt_B))\n", + "plv_hyper = compute_plv_simple(phase_inst_A, phase_inst_B)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Top left: Both signals\n", + "axes[0, 0].plot(t_hyper, filt_A, color=PRIMARY_BLUE, linewidth=0.5, alpha=0.6, \n", + " label='Participant A')\n", + "axes[0, 0].plot(t_hyper, filt_B + 2, color=PRIMARY_RED, linewidth=0.5, alpha=0.6,\n", + " label='Participant B (offset)')\n", + "axes[0, 0].axvspan(3.5, 4.5, color=ACCENT_GOLD, alpha=0.2, label='Joint attention')\n", + "axes[0, 0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0, 0].set_title('Alpha Signals from Two Participants', fontsize=12, fontweight='bold')\n", + "axes[0, 0].legend(loc='upper right')\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Top right: Both envelopes overlaid\n", + "axes[0, 1].plot(t_hyper, env_A, color=PRIMARY_BLUE, linewidth=2, label='Envelope A')\n", + "axes[0, 1].plot(t_hyper, env_B, color=PRIMARY_RED, linewidth=2, label='Envelope B')\n", + "axes[0, 1].fill_between(t_hyper, env_A, env_B, color='gray', alpha=0.2)\n", + "axes[0, 1].axvspan(3.5, 4.5, color=ACCENT_GOLD, alpha=0.2)\n", + "axes[0, 1].set_ylabel('Envelope', fontsize=11)\n", + "axes[0, 1].set_title('Envelopes Co-Fluctuate (Amplitude Coupling)', \n", + " fontsize=12, fontweight='bold', color=PRIMARY_GREEN)\n", + "axes[0, 1].legend(loc='upper right')\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Bottom left: Scatter plot\n", + "axes[1, 0].scatter(env_A, env_B, color=ACCENT_PURPLE, alpha=0.3, s=20)\n", + "z = np.polyfit(env_A, env_B, 1)\n", + "p = np.poly1d(z)\n", + "env_sorted = np.sort(env_A)\n", + "axes[1, 0].plot(env_sorted, p(env_sorted), color='black', linewidth=2, linestyle='--')\n", + "axes[1, 0].set_xlabel('Envelope A', fontsize=11)\n", + "axes[1, 0].set_ylabel('Envelope B', fontsize=11)\n", + "axes[1, 0].set_title(f'Envelope Correlation: r = {env_corr_hyper:.3f}', \n", + " fontsize=12, fontweight='bold')\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom right: Summary comparison\n", + "ax_sum = axes[1, 1]\n", + "metrics = ['PLV\\n(Phase Coupling)', 'Envelope Corr\\n(Amplitude Coupling)']\n", + "values = [plv_hyper, env_corr_hyper]\n", + "colors_sum = [ACCENT_PURPLE, PRIMARY_GREEN]\n", + "bars = ax_sum.bar(metrics, values, color=colors_sum, edgecolor='black', linewidth=2)\n", + "ax_sum.set_ylabel('Coupling Strength', fontsize=11)\n", + "ax_sum.set_ylim(0, 1)\n", + "ax_sum.set_title('Phase vs Amplitude Coupling', fontsize=12, fontweight='bold')\n", + "\n", + "for bar, val in zip(bars, values):\n", + " ax_sum.text(bar.get_x() + bar.get_width()/2, val + 0.03, f'{val:.3f}', \n", + " ha='center', fontweight='bold', fontsize=12)\n", + "\n", + "ax_sum.axhline(y=0.5, color='gray', linestyle='--', alpha=0.5)\n", + "ax_sum.grid(True, alpha=0.3, axis='y')\n", + "\n", + "# Add interpretation\n", + "ax_sum.text(0.5, 0.75, 'High envelope corr\\nLow PLV\\n= Amplitude coupling only!', \n", + " transform=ax_sum.transAxes, fontsize=10, ha='center',\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor='gray'))\n", + "\n", + "plt.suptitle('Visualization 14: Hyperscanning — Independent Phases, Coupled Amplitudes', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"PLV (phase coupling): {plv_hyper:.3f}\")\n", + "print(f\"Envelope correlation (amplitude coupling): {env_corr_hyper:.3f}\")\n", + "print(\"\\n→ These participants show AMPLITUDE coupling without PHASE coupling!\")\n", + "print(\"→ This could reflect shared arousal/attention without neural synchronization\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "85dd8302", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 15: Three Coupling Scenarios Comparison\n", + "# ============================================================================\n", + "\n", + "# Create three scenarios\n", + "np.random.seed(1111)\n", + "\n", + "def create_scenario(phase_coupling, amplitude_coupling, t, fs):\n", + " \"\"\"Create a pair of signals with specified coupling types.\"\"\"\n", + " # Base envelope\n", + " if amplitude_coupling:\n", + " # Shared envelope\n", + " shared_env = 0.5 + 0.5 * np.sin(2 * np.pi * 0.4 * t)\n", + " env1, env2 = shared_env, shared_env\n", + " else:\n", + " # Independent envelopes\n", + " env1 = 0.5 + 0.5 * np.sin(2 * np.pi * 0.4 * t)\n", + " env2 = 0.5 + 0.5 * np.sin(2 * np.pi * 0.5 * t + np.pi)\n", + " \n", + " # Base phase\n", + " if phase_coupling:\n", + " # Same phase with small jitter\n", + " base_phase = 2 * np.pi * 10 * t\n", + " phase1 = base_phase\n", + " phase2 = base_phase + 0.1 * np.random.randn(len(t)).cumsum() / fs\n", + " else:\n", + " # Independent phases\n", + " phase1 = 2 * np.pi * 10 * t\n", + " phase2 = 2 * np.pi * 10 * t + np.random.randn(len(t)).cumsum() * 0.5 / fs\n", + " \n", + " sig1 = env1 * np.sin(phase1) + 0.1 * np.random.randn(len(t))\n", + " sig2 = env2 * np.sin(phase2) + 0.1 * np.random.randn(len(t))\n", + " \n", + " return sig1, sig2\n", + "\n", + "fs_scen = 250\n", + "duration_scen = 5.0\n", + "t_scen = np.arange(0, duration_scen, 1/fs_scen)\n", + "\n", + "# Scenario 1: Phase only\n", + "sig1_phase, sig2_phase = create_scenario(True, False, t_scen, fs_scen)\n", + "# Scenario 2: Amplitude only\n", + "sig1_amp, sig2_amp = create_scenario(False, True, t_scen, fs_scen)\n", + "# Scenario 3: Both\n", + "sig1_both, sig2_both = create_scenario(True, True, t_scen, fs_scen)\n", + "\n", + "# Compute metrics for each\n", + "def compute_metrics(sig1, sig2, fs, band=(8, 13)):\n", + " env1 = extract_envelope(sig1, fs, band)\n", + " env2 = extract_envelope(sig2, fs, band)\n", + " env_corr = np.corrcoef(env1, env2)[0, 1]\n", + " \n", + " filt1 = bandpass_filter(sig1, band[0], band[1], fs)\n", + " filt2 = bandpass_filter(sig2, band[0], band[1], fs)\n", + " ph1 = np.angle(hilbert(filt1))\n", + " ph2 = np.angle(hilbert(filt2))\n", + " plv = compute_plv_simple(ph1, ph2)\n", + " \n", + " return env1, env2, plv, env_corr\n", + "\n", + "scenarios = [\n", + " (\"Phase Coupling Only\", sig1_phase, sig2_phase),\n", + " (\"Amplitude Coupling Only\", sig1_amp, sig2_amp),\n", + " (\"Both Phase & Amplitude\", sig1_both, sig2_both)\n", + "]\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 2, figsize=(14, 12))\n", + "\n", + "for i, (title, sig1, sig2) in enumerate(scenarios):\n", + " env1, env2, plv, env_corr = compute_metrics(sig1, sig2, fs_scen)\n", + " \n", + " # Left: envelopes\n", + " axes[i, 0].plot(t_scen, env1, color=PRIMARY_BLUE, linewidth=2, label='Envelope 1')\n", + " axes[i, 0].plot(t_scen, env2, color=PRIMARY_RED, linewidth=2, label='Envelope 2')\n", + " axes[i, 0].set_ylabel('Envelope', fontsize=11)\n", + " axes[i, 0].set_title(f'{title}', fontsize=12, fontweight='bold')\n", + " axes[i, 0].legend(loc='upper right')\n", + " axes[i, 0].grid(True, alpha=0.3)\n", + " if i == 2:\n", + " axes[i, 0].set_xlabel('Time (s)', fontsize=11)\n", + " \n", + " # Right: metrics bar\n", + " metrics_vals = [plv, env_corr]\n", + " metric_names = ['PLV', 'Env Corr']\n", + " colors_m = [ACCENT_PURPLE, PRIMARY_GREEN]\n", + " bars = axes[i, 1].bar(metric_names, metrics_vals, color=colors_m, edgecolor='black', linewidth=2)\n", + " axes[i, 1].set_ylim(0, 1.1)\n", + " axes[i, 1].set_ylabel('Value', fontsize=11)\n", + " axes[i, 1].axhline(y=0.5, color='gray', linestyle='--', alpha=0.5)\n", + " \n", + " for bar, val in zip(bars, metrics_vals):\n", + " axes[i, 1].text(bar.get_x() + bar.get_width()/2, val + 0.03, f'{val:.2f}', \n", + " ha='center', fontweight='bold', fontsize=11)\n", + " axes[i, 1].grid(True, alpha=0.3, axis='y')\n", + " \n", + " # Highlight the expected high values\n", + " if i == 0: # Phase only\n", + " axes[i, 1].annotate('', xy=(0, plv), xytext=(0, plv + 0.15),\n", + " arrowprops=dict(arrowstyle='->', color=PRIMARY_GREEN, lw=2))\n", + " elif i == 1: # Amplitude only\n", + " axes[i, 1].annotate('', xy=(1, env_corr), xytext=(1, env_corr + 0.15),\n", + " arrowprops=dict(arrowstyle='->', color=PRIMARY_GREEN, lw=2))\n", + "\n", + "plt.suptitle('Visualization 15: Phase vs Amplitude Coupling — Three Scenarios', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Summary:\")\n", + "print(\"- Scenario 1: High PLV, Low Env Corr → Phase coupling only\")\n", + "print(\"- Scenario 2: Low PLV, High Env Corr → Amplitude coupling only\")\n", + "print(\"- Scenario 3: High PLV, High Env Corr → Both mechanisms active\")\n", + "print(\"\\n→ These are INDEPENDENT connectivity mechanisms!\")" + ] + }, + { + "cell_type": "markdown", + "id": "80d04a8c", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 13. Hands-On Exercises\n", + "\n", + "### Exercise 1: Envelope Verification\n", + "\n", + "Create an amplitude-modulated signal with a **known modulation function**.\n", + "Extract the envelope and verify it matches the original modulation.\n", + "\n", + "1. Create a 3-second signal: 10 Hz carrier, 0.5 Hz sinusoidal modulation\n", + "2. Extract the envelope using `extract_envelope`\n", + "3. Compute correlation between extracted envelope and true modulation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cbb5082b", + "metadata": {}, + "outputs": [], + "source": [ + "# ==============================================\n", + "# YOUR CODE HERE - Exercise 1\n", + "# ==============================================\n", + "\n", + "# Create AM signal with known modulation\n", + "\n", + "\n", + "# Extract envelope\n", + "\n", + "\n", + "# Compare with true modulation\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "625e3d5f", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to see solution\n", + "\n", + "```python\n", + "# Create AM signal\n", + "fs_ex1 = 250\n", + "duration_ex1 = 3.0\n", + "t_ex1 = np.arange(0, duration_ex1, 1/fs_ex1)\n", + "\n", + "# Known modulation function\n", + "true_mod = 0.5 + 0.5 * np.sin(2 * np.pi * 0.5 * t_ex1)\n", + "\n", + "# Create AM signal\n", + "carrier = np.sin(2 * np.pi * 10 * t_ex1)\n", + "am_signal_ex = true_mod * carrier\n", + "\n", + "# Extract envelope\n", + "env_ex1 = extract_envelope(am_signal_ex, fs_ex1, (8, 13))\n", + "\n", + "# Compute correlation\n", + "corr_ex1 = np.corrcoef(true_mod, env_ex1)[0, 1]\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "ax.plot(t_ex1, true_mod, color=PRIMARY_GREEN, linewidth=2, linestyle='--', \n", + " label=f'True modulation')\n", + "ax.plot(t_ex1, env_ex1, color=PRIMARY_RED, linewidth=2, \n", + " label=f'Extracted envelope')\n", + "ax.set_xlabel('Time (s)')\n", + "ax.set_ylabel('Amplitude')\n", + "ax.set_title(f'Envelope Recovery: Correlation = {corr_ex1:.4f}', fontweight='bold')\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Correlation: {corr_ex1:.4f}\")\n", + "print(\"→ The envelope accurately recovers the modulation function!\")\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "83463d3c", + "metadata": {}, + "source": [ + "---\n", + "\n", + "### Exercise 2: Cross-Band Envelope Correlation\n", + "\n", + "Generate an EEG-like signal with theta, alpha, and beta components.\n", + "Extract envelopes and compute cross-correlation between bands.\n", + "\n", + "1. Create a 6-second multi-band signal\n", + "2. Extract envelopes for theta (4-8), alpha (8-13), beta (13-30)\n", + "3. Compute all pairwise correlations\n", + "4. Which bands have the most correlated amplitude dynamics?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "03cb7618", + "metadata": {}, + "outputs": [], + "source": [ + "# ==============================================\n", + "# YOUR CODE HERE - Exercise 2\n", + "# ==============================================\n", + "\n", + "# Generate multi-band signal\n", + "\n", + "\n", + "# Extract envelopes for each band\n", + "\n", + "\n", + "# Compute pairwise correlations\n", + "\n", + "\n", + "# Visualize\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "id": "ae1ca3ae", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to see solution\n", + "\n", + "```python\n", + "np.random.seed(222)\n", + "fs_ex2 = 250\n", + "t_ex2 = np.arange(0, 6, 1/fs_ex2)\n", + "\n", + "# Create signal with some shared modulation between adjacent bands\n", + "theta_ex = (0.5 + 0.5*np.sin(2*np.pi*0.3*t_ex2)) * np.sin(2*np.pi*6*t_ex2)\n", + "alpha_ex = (0.4 + 0.6*np.sin(2*np.pi*0.3*t_ex2 + 0.2)) * np.sin(2*np.pi*10*t_ex2) # Similar mod\n", + "beta_ex = (0.5 + 0.5*np.sin(2*np.pi*0.8*t_ex2)) * np.sin(2*np.pi*22*t_ex2) # Different mod\n", + "\n", + "signal_ex2 = theta_ex + alpha_ex + 0.5*beta_ex + 0.2*np.random.randn(len(t_ex2))\n", + "\n", + "# Extract envelopes\n", + "env_theta_ex = extract_envelope(signal_ex2, fs_ex2, (4, 8))\n", + "env_alpha_ex = extract_envelope(signal_ex2, fs_ex2, (8, 13))\n", + "env_beta_ex = extract_envelope(signal_ex2, fs_ex2, (13, 30))\n", + "\n", + "# Compute correlations\n", + "corr_theta_alpha = np.corrcoef(env_theta_ex, env_alpha_ex)[0, 1]\n", + "corr_theta_beta = np.corrcoef(env_theta_ex, env_beta_ex)[0, 1]\n", + "corr_alpha_beta = np.corrcoef(env_alpha_ex, env_beta_ex)[0, 1]\n", + "\n", + "print(\"Cross-band envelope correlations:\")\n", + "print(f\" Theta-Alpha: {corr_theta_alpha:.3f}\")\n", + "print(f\" Theta-Beta: {corr_theta_beta:.3f}\")\n", + "print(f\" Alpha-Beta: {corr_alpha_beta:.3f}\")\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 8))\n", + "\n", + "axes[0].plot(t_ex2, env_theta_ex, label='Theta', color=COLORS[\"theta\"])\n", + "axes[0].plot(t_ex2, env_alpha_ex, label='Alpha', color=COLORS[\"alpha\"])\n", + "axes[0].plot(t_ex2, env_beta_ex, label='Beta', color=COLORS[\"beta\"])\n", + "axes[0].set_xlabel('Time (s)')\n", + "axes[0].set_ylabel('Envelope')\n", + "axes[0].set_title('Band Envelopes', fontweight='bold')\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Correlation matrix\n", + "corr_mat = np.array([\n", + " [1.0, corr_theta_alpha, corr_theta_beta],\n", + " [corr_theta_alpha, 1.0, corr_alpha_beta],\n", + " [corr_theta_beta, corr_alpha_beta, 1.0]\n", + "])\n", + "im = axes[1].imshow(corr_mat, cmap='RdBu_r', vmin=-1, vmax=1)\n", + "axes[1].set_xticks([0, 1, 2])\n", + "axes[1].set_yticks([0, 1, 2])\n", + "axes[1].set_xticklabels(['Theta', 'Alpha', 'Beta'])\n", + "axes[1].set_yticklabels(['Theta', 'Alpha', 'Beta'])\n", + "for i in range(3):\n", + " for j in range(3):\n", + " axes[1].text(j, i, f'{corr_mat[i,j]:.2f}', ha='center', va='center', fontweight='bold')\n", + "axes[1].set_title('Cross-Band Correlation Matrix', fontweight='bold')\n", + "plt.colorbar(im, ax=axes[1])\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n→ Theta and Alpha have similar modulation → higher correlation\")\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "1266e0d4", + "metadata": {}, + "source": [ + "### 💪 Exercise 3: Smoothing Trade-offs\n", + "\n", + "Explore the trade-off between noise reduction and temporal smearing by comparing Gaussian smoothing with different sigma values (10, 50, 100 ms). Create a noisy envelope and show how larger sigma reduces noise but also smears sharp transients." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "45861de9", + "metadata": {}, + "outputs": [], + "source": [ + "# ==============================================\n", + "# EXERCISE 3: YOUR CODE HERE\n", + "# ==============================================\n", + "# Create a signal with sharp bursts\n", + "# Extract envelope\n", + "# Compare Gaussian smoothing with sigma = 10, 50, 100 ms\n", + "# Plot and analyze noise reduction vs temporal smearing\n", + "# ==============================================" + ] + }, + { + "cell_type": "markdown", + "id": "74377498", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to see solution\n", + "\n", + "```python\n", + "np.random.seed(333)\n", + "fs_ex3 = 500\n", + "t_ex3 = np.arange(0, 4, 1/fs_ex3)\n", + "\n", + "# Create signal with sharp bursts (step-like envelope changes)\n", + "burst1 = np.zeros_like(t_ex3)\n", + "burst1[(t_ex3 >= 0.5) & (t_ex3 < 1.5)] = 1.0\n", + "burst2 = np.zeros_like(t_ex3)\n", + "burst2[(t_ex3 >= 2.5) & (t_ex3 < 3.2)] = 1.0\n", + "\n", + "envelope_true = burst1 + 0.5*burst2 + 0.1\n", + "signal_ex3 = envelope_true * np.sin(2*np.pi*10*t_ex3) + 0.3*np.random.randn(len(t_ex3))\n", + "\n", + "# Extract noisy envelope\n", + "env_ex3 = np.abs(hilbert(signal_ex3))\n", + "\n", + "# Smooth with different sigmas\n", + "sigmas_ms = [10, 50, 100]\n", + "smoothed = {}\n", + "for sigma_ms in sigmas_ms:\n", + " sigma_samples = int(sigma_ms * fs_ex3 / 1000)\n", + " smoothed[sigma_ms] = gaussian_filter1d(env_ex3, sigma=sigma_samples)\n", + "\n", + "# Plot comparison\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Original signal and true envelope\n", + "axes[0, 0].plot(t_ex3, signal_ex3, alpha=0.5, color=COLORS[\"signal\"])\n", + "axes[0, 0].plot(t_ex3, envelope_true, 'k--', lw=2, label='True envelope')\n", + "axes[0, 0].set_xlabel('Time (s)')\n", + "axes[0, 0].set_ylabel('Amplitude')\n", + "axes[0, 0].set_title('Signal with Sharp Bursts', fontweight='bold')\n", + "axes[0, 0].legend()\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Raw envelope\n", + "axes[0, 1].plot(t_ex3, env_ex3, alpha=0.7, color=COLORS[\"envelope\"], label='Raw envelope')\n", + "axes[0, 1].plot(t_ex3, envelope_true, 'k--', lw=2, label='True envelope')\n", + "axes[0, 1].set_xlabel('Time (s)')\n", + "axes[0, 1].set_ylabel('Envelope')\n", + "axes[0, 1].set_title('Raw Envelope (noisy)', fontweight='bold')\n", + "axes[0, 1].legend()\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Smoothed envelopes comparison\n", + "colors_sigma = [COLORS[\"theta\"], COLORS[\"alpha\"], COLORS[\"beta\"]]\n", + "for idx, sigma_ms in enumerate(sigmas_ms):\n", + " axes[1, 0].plot(t_ex3, smoothed[sigma_ms], label=f'σ={sigma_ms}ms', \n", + " color=colors_sigma[idx], lw=2)\n", + "axes[1, 0].plot(t_ex3, envelope_true, 'k--', lw=2, label='True')\n", + "axes[1, 0].set_xlabel('Time (s)')\n", + "axes[1, 0].set_ylabel('Smoothed Envelope')\n", + "axes[1, 0].set_title('Gaussian Smoothing Comparison', fontweight='bold')\n", + "axes[1, 0].legend()\n", + "axes[1, 0].grid(True, alpha=0.3)\n", + "axes[1, 0].set_xlim([0.3, 1.8]) # Zoom on first burst\n", + "\n", + "# Compute metrics: noise and edge sharpness\n", + "noise_std = []\n", + "edge_response = [] # Time to reach 90% of max at burst onset\n", + "for sigma_ms in sigmas_ms:\n", + " # Baseline noise (before first burst)\n", + " baseline_idx = (t_ex3 >= 0.1) & (t_ex3 < 0.4)\n", + " noise_std.append(np.std(smoothed[sigma_ms][baseline_idx]))\n", + " \n", + " # Edge response: measure slope at burst onset\n", + " onset_idx = np.argmin(np.abs(t_ex3 - 0.5))\n", + " slope = np.gradient(smoothed[sigma_ms][onset_idx:onset_idx+100]).max()\n", + " edge_response.append(slope)\n", + "\n", + "x_pos = np.arange(len(sigmas_ms))\n", + "width = 0.35\n", + "axes[1, 1].bar(x_pos - width/2, noise_std, width, label='Noise (std)', color=COLORS[\"theta\"])\n", + "axes[1, 1].bar(x_pos + width/2, np.array(edge_response)*10, width, label='Edge response (×10)', \n", + " color=COLORS[\"alpha\"])\n", + "axes[1, 1].set_xticks(x_pos)\n", + "axes[1, 1].set_xticklabels([f'{s}ms' for s in sigmas_ms])\n", + "axes[1, 1].set_xlabel('Sigma')\n", + "axes[1, 1].set_ylabel('Value')\n", + "axes[1, 1].set_title('Trade-off: Noise vs Temporal Resolution', fontweight='bold')\n", + "axes[1, 1].legend()\n", + "axes[1, 1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"→ Larger sigma reduces noise but smears sharp transitions\")\n", + "print(\"→ Choose sigma based on expected envelope dynamics in your data\")\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "ce266df1", + "metadata": {}, + "source": [ + "### 💪 Exercise 4: Envelope Correlation vs SNR\n", + "\n", + "Investigate how noise affects envelope correlation measurements. Start with two signals that have perfectly correlated envelopes, then progressively add noise and measure how the correlation degrades." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f1eb3683", + "metadata": {}, + "outputs": [], + "source": [ + "# ==============================================\n", + "# EXERCISE 4: YOUR CODE HERE\n", + "# ==============================================\n", + "# Create two signals with identical amplitude modulation\n", + "# Add different levels of noise (e.g., SNR = inf, 10, 5, 2, 1, 0.5 dB)\n", + "# Compute envelope correlation at each noise level\n", + "# Plot correlation as a function of SNR\n", + "# ==============================================" + ] + }, + { + "cell_type": "markdown", + "id": "84823f63", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to see solution\n", + "\n", + "```python\n", + "np.random.seed(444)\n", + "fs_ex4 = 500\n", + "t_ex4 = np.arange(0, 10, 1/fs_ex4)\n", + "\n", + "# Shared modulation envelope\n", + "shared_mod = 0.5 + 0.5*np.sin(2*np.pi*0.5*t_ex4)\n", + "\n", + "# Clean signals with identical envelope\n", + "clean1 = shared_mod * np.sin(2*np.pi*10*t_ex4)\n", + "clean2 = shared_mod * np.sin(2*np.pi*10*t_ex4 + np.pi/4) # Different phase\n", + "\n", + "# SNR levels to test (in ratio, not dB for simplicity)\n", + "snr_levels = [np.inf, 20, 10, 5, 2, 1, 0.5, 0.2]\n", + "correlations = []\n", + "\n", + "signal_power = np.var(clean1)\n", + "\n", + "for snr in snr_levels:\n", + " if snr == np.inf:\n", + " noisy1, noisy2 = clean1, clean2\n", + " else:\n", + " noise_power = signal_power / snr\n", + " noise1 = np.sqrt(noise_power) * np.random.randn(len(t_ex4))\n", + " noise2 = np.sqrt(noise_power) * np.random.randn(len(t_ex4))\n", + " noisy1 = clean1 + noise1\n", + " noisy2 = clean2 + noise2\n", + " \n", + " # Extract envelopes\n", + " env1 = np.abs(hilbert(noisy1))\n", + " env2 = np.abs(hilbert(noisy2))\n", + " \n", + " # Compute correlation\n", + " corr = np.corrcoef(env1, env2)[0, 1]\n", + " correlations.append(corr)\n", + "\n", + "# Plot results\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# SNR vs Correlation curve\n", + "snr_labels = ['∞', '20', '10', '5', '2', '1', '0.5', '0.2']\n", + "axes[0].plot(range(len(snr_levels)), correlations, 'o-', color=COLORS[\"correlation\"], \n", + " markersize=10, lw=2)\n", + "axes[0].axhline(y=1.0, color='gray', linestyle='--', alpha=0.5, label='Perfect correlation')\n", + "axes[0].set_xticks(range(len(snr_levels)))\n", + "axes[0].set_xticklabels(snr_labels)\n", + "axes[0].set_xlabel('SNR (ratio)')\n", + "axes[0].set_ylabel('Envelope Correlation')\n", + "axes[0].set_title('Envelope Correlation Degrades with Noise', fontweight='bold')\n", + "axes[0].set_ylim([0, 1.05])\n", + "axes[0].grid(True, alpha=0.3)\n", + "axes[0].legend()\n", + "\n", + "# Show example at different SNR levels\n", + "example_snrs = [np.inf, 5, 0.5]\n", + "colors_ex = [COLORS[\"theta\"], COLORS[\"alpha\"], COLORS[\"beta\"]]\n", + "for idx, snr in enumerate(example_snrs):\n", + " if snr == np.inf:\n", + " sig = clean1[:500]\n", + " label = 'Clean (SNR=∞)'\n", + " else:\n", + " noise_power = signal_power / snr\n", + " sig = clean1[:500] + np.sqrt(noise_power) * np.random.randn(500)\n", + " label = f'SNR={snr}'\n", + " axes[1].plot(t_ex4[:500], sig + idx*3, label=label, color=colors_ex[idx])\n", + "\n", + "axes[1].set_xlabel('Time (s)')\n", + "axes[1].set_ylabel('Amplitude (offset)')\n", + "axes[1].set_title('Signals at Different SNR Levels', fontweight='bold')\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"→ Envelope correlation is sensitive to noise\")\n", + "print(\"→ SNR < 2 significantly degrades correlation estimates\")\n", + "print(\"→ Pre-filtering to the band of interest improves SNR\")\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "90ed3be6", + "metadata": {}, + "source": [ + "### 💪 Exercise 5: Alpha Blocking Detection\n", + "\n", + "Implement an automatic alpha blocking detector: given an EEG-like signal, detect periods where alpha power drops significantly (e.g., below 50% of baseline). Use the alpha envelope to identify \"eyes open\" periods." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8607c916", + "metadata": {}, + "outputs": [], + "source": [ + "# ==============================================\n", + "# EXERCISE 5: YOUR CODE HERE\n", + "# ==============================================\n", + "# Create an EEG-like signal with alpha blocking periods\n", + "# Extract and smooth the alpha envelope\n", + "# Define baseline alpha power (e.g., first 2 seconds)\n", + "# Detect periods where alpha drops below threshold\n", + "# Visualize detected blocking periods\n", + "# ==============================================" + ] + }, + { + "cell_type": "markdown", + "id": "46674686", + "metadata": {}, + "source": [ + "
\n", + "💡 Click to see solution\n", + "\n", + "```python\n", + "np.random.seed(555)\n", + "fs_ex5 = 250\n", + "t_ex5 = np.arange(0, 15, 1/fs_ex5)\n", + "\n", + "# Create alpha envelope with blocking periods\n", + "alpha_mod = np.ones_like(t_ex5)\n", + "# Eyes open periods (alpha blocking)\n", + "blocking_periods = [(3, 5), (8, 10), (12, 14)]\n", + "for start, end in blocking_periods:\n", + " # Gradual transition\n", + " for i, ti in enumerate(t_ex5):\n", + " if start - 0.2 < ti < start + 0.2:\n", + " alpha_mod[i] = 1 - 0.7 * (1 + np.tanh((ti - start) * 10)) / 2\n", + " elif start + 0.2 <= ti <= end - 0.2:\n", + " alpha_mod[i] = 0.3\n", + " elif end - 0.2 < ti < end + 0.2:\n", + " alpha_mod[i] = 0.3 + 0.7 * (1 + np.tanh((ti - end) * 10)) / 2\n", + "\n", + "# Generate EEG-like signal\n", + "alpha_comp = alpha_mod * np.sin(2*np.pi*10*t_ex5)\n", + "theta_comp = 0.3 * np.sin(2*np.pi*6*t_ex5)\n", + "beta_comp = 0.2 * np.sin(2*np.pi*20*t_ex5)\n", + "noise_ex5 = 0.15 * np.random.randn(len(t_ex5))\n", + "\n", + "eeg_ex5 = alpha_comp + theta_comp + beta_comp + noise_ex5\n", + "\n", + "# Extract and smooth alpha envelope\n", + "alpha_env = extract_envelope(eeg_ex5, fs_ex5, (8, 13))\n", + "alpha_env_smooth = smooth_envelope_gaussian(alpha_env, sigma_samples=int(0.2*fs_ex5))\n", + "\n", + "# Compute baseline (first 2 seconds, assuming eyes closed)\n", + "baseline_mask = t_ex5 < 2\n", + "baseline_mean = np.mean(alpha_env_smooth[baseline_mask])\n", + "baseline_std = np.std(alpha_env_smooth[baseline_mask])\n", + "\n", + "# Detection threshold: below 50% of baseline mean\n", + "threshold = 0.5 * baseline_mean\n", + "\n", + "# Detect blocking periods\n", + "detected_blocking = alpha_env_smooth < threshold\n", + "\n", + "# Find contiguous blocking segments\n", + "blocking_segments = []\n", + "in_block = False\n", + "start_idx = 0\n", + "for i, is_blocked in enumerate(detected_blocking):\n", + " if is_blocked and not in_block:\n", + " start_idx = i\n", + " in_block = True\n", + " elif not is_blocked and in_block:\n", + " if i - start_idx > int(0.3*fs_ex5): # Minimum duration 300ms\n", + " blocking_segments.append((t_ex5[start_idx], t_ex5[i-1]))\n", + " in_block = False\n", + "if in_block:\n", + " blocking_segments.append((t_ex5[start_idx], t_ex5[-1]))\n", + "\n", + "# Visualization\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 10), sharex=True)\n", + "\n", + "# Raw EEG\n", + "axes[0].plot(t_ex5, eeg_ex5, color=COLORS[\"signal\"], alpha=0.7)\n", + "axes[0].set_ylabel('EEG (µV)')\n", + "axes[0].set_title('Simulated EEG with Alpha Blocking', fontweight='bold')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Alpha envelope with threshold\n", + "axes[1].plot(t_ex5, alpha_env, alpha=0.4, color=COLORS[\"envelope\"], label='Raw envelope')\n", + "axes[1].plot(t_ex5, alpha_env_smooth, color=COLORS[\"envelope\"], lw=2, label='Smoothed')\n", + "axes[1].axhline(y=baseline_mean, color='green', linestyle='--', label=f'Baseline: {baseline_mean:.3f}')\n", + "axes[1].axhline(y=threshold, color='red', linestyle='--', label=f'Threshold (50%): {threshold:.3f}')\n", + "axes[1].fill_between(t_ex5, 0, alpha_env_smooth.max(), where=detected_blocking, \n", + " alpha=0.3, color='red', label='Detected blocking')\n", + "axes[1].set_ylabel('Alpha Envelope')\n", + "axes[1].set_title('Alpha Envelope with Detection', fontweight='bold')\n", + "axes[1].legend(loc='upper right')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Detection results\n", + "for start, end in blocking_periods:\n", + " axes[2].axvspan(start, end, alpha=0.3, color='blue', label='True blocking' if start==3 else '')\n", + "for i, (start, end) in enumerate(blocking_segments):\n", + " axes[2].axvspan(start, end, alpha=0.3, color='red', label='Detected' if i==0 else '')\n", + "axes[2].set_xlabel('Time (s)')\n", + "axes[2].set_ylabel('Detection')\n", + "axes[2].set_title('True vs Detected Blocking Periods', fontweight='bold')\n", + "axes[2].legend(loc='upper right')\n", + "axes[2].grid(True, alpha=0.3)\n", + "axes[2].set_yticks([])\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"True blocking periods: {blocking_periods}\")\n", + "print(f\"Detected blocking periods: {blocking_segments}\")\n", + "print(f\"\\n→ Envelope-based detection captures alpha blocking events\")\n", + "print(\"→ Threshold and minimum duration can be tuned for sensitivity\")\n", + "```\n", + "\n", + "
" + ] + }, + { + "cell_type": "markdown", + "id": "6b7abb23", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 14. 📝 Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **Amplitude Envelope Definition**\n", + " - The envelope captures the slow-varying amplitude modulation of an oscillation\n", + " - Extracted via Hilbert transform: `envelope = |analytic_signal|`\n", + " - Represents the \"strength\" of neural oscillations over time\n", + "\n", + "2. **Complete Extraction Pipeline**\n", + " - Bandpass filter → Hilbert transform → Magnitude\n", + " - Filter order affects transition sharpness (typically 4th order Butterworth)\n", + " - Different bands reveal different aspects of neural dynamics\n", + "\n", + "3. **Envelope is a Slow Signal**\n", + " - Envelope frequencies are much lower than carrier frequencies\n", + " - Typically < 2-3 Hz for most cognitive processes\n", + " - Can be analyzed with its own power spectrum\n", + "\n", + "4. **Smoothing Methods**\n", + " - Moving average: Simple but may introduce discontinuities\n", + " - Gaussian: Smooth output, sigma controls trade-off\n", + " - Low-pass filter: Principled frequency cutoff\n", + " - Trade-off: Noise reduction vs temporal smearing\n", + "\n", + "5. **Envelope Correlation**\n", + " - Measures amplitude coupling between signals or brain regions\n", + " - Values: -1 (anti-correlated) to +1 (perfectly coupled)\n", + " - Sensitive to volume conduction (can cause spurious correlations)\n", + "\n", + "6. **Hyperscanning Applications**\n", + " - Amplitude coupling indicates shared intensity patterns\n", + " - Joint attention, emotional synchrony, motor coordination\n", + " - Complementary to phase-based connectivity measures\n", + "\n", + "### Functions Implemented\n", + "\n", + "| Function | Purpose |\n", + "|----------|---------|\n", + "| `extract_envelope(signal, fs, band)` | Complete pipeline: filter + Hilbert + magnitude |\n", + "| `compute_envelope_psd(envelope, fs)` | Power spectrum of envelope |\n", + "| `smooth_envelope_moving_average()` | Simple sliding window |\n", + "| `smooth_envelope_gaussian()` | Gaussian filter smoothing |\n", + "| `smooth_envelope_lowpass()` | Low-pass Butterworth filter |\n", + "| `compute_envelope_correlation()` | Pearson correlation of envelopes |\n", + "| `compute_envelope_statistics()` | Mean, std, CV, median, percentiles |" + ] + }, + { + "cell_type": "markdown", + "id": "faad615a", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 15. 💬 Discussion Questions\n", + "\n", + "1. **Phase vs Amplitude Coupling**: When would you prefer to use amplitude envelope correlation over phase-based measures (like PLV) for studying inter-brain synchrony? What types of cognitive processes might be better captured by each?\n", + "\n", + "2. **Temporal Resolution Trade-off**: How does the choice of smoothing parameters (or filter cutoff) affect the interpretability of envelope dynamics? What considerations would guide your choice for studying rapid attentional shifts vs sustained emotional states?\n", + "\n", + "3. **Volume Conduction Concerns**: We saw that volume conduction can create spurious envelope correlations. What strategies could help distinguish genuine amplitude coupling from volume conduction artifacts in hyperscanning studies?\n", + "\n", + "4. **Cross-Frequency Coupling**: The cross-band envelope correlation we explored relates to cross-frequency coupling (CFC). How might amplitude-amplitude coupling between bands (e.g., theta-gamma) inform our understanding of inter-brain dynamics?\n", + "\n", + "5. **Complementary Information**: In a hyperscanning study, you observe high PLV but low envelope correlation between two participants. What might this pattern indicate about their neural coordination? Conversely, what would low PLV but high envelope correlation suggest?\n", + "\n", + "---\n", + "\n", + "## 🔗 Next Steps\n", + "\n", + "In the next notebook (**B04: Wavelets and Time-Frequency Analysis**), we will explore:\n", + "- Continuous wavelet transform for time-frequency decomposition\n", + "- Morlet wavelets and their properties\n", + "- Time-varying power and phase estimation\n", + "- Comparison with Hilbert-based methods\n", + "\n", + "This will provide a complementary approach to extracting both amplitude and phase information with flexible time-frequency resolution." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B04_wavelets_time_frequency.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B04_wavelets_time_frequency.ipynb new file mode 100644 index 0000000..a92d2d1 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/B_phase_and_amplitude/B04_wavelets_time_frequency.ipynb @@ -0,0 +1,2820 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4f0e4bd4", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Table of Contents\n", + "\n", + "1. [Introduction — The Problem with FFT](#1-introduction--the-problem-with-fft)\n", + "2. [Intuition — Windows in Time](#2-intuition--windows-in-time)\n", + "3. [Short-Time Fourier Transform (STFT)](#3-short-time-fourier-transform-stft)\n", + "4. [Limitations of STFT](#4-limitations-of-stft)\n", + "5. [Introduction to Wavelets](#5-introduction-to-wavelets)\n", + "6. [The Morlet Wavelet](#6-the-morlet-wavelet)\n", + "7. [Wavelet Convolution](#7-wavelet-convolution)\n", + "8. [Time-Frequency Representation](#8-time-frequency-representation)\n", + "9. [Choosing Wavelet Parameters](#9-choosing-wavelet-parameters)\n", + "10. [Extracting Phase from Wavelets](#10-extracting-phase-from-wavelets)\n", + "11. [Wavelet vs Hilbert Approach](#11-wavelet-vs-hilbert-approach)\n", + "12. [Edge Effects](#12-edge-effects)\n", + "13. [Practical Application — Event-Related Time-Frequency](#13-practical-application--event-related-time-frequency)\n", + "14. [Hyperscanning Application — Time-Resolved Connectivity](#14-hyperscanning-application--time-resolved-connectivity)\n", + "15. [Exercises](#15-exercises)\n", + "16. [Summary](#16-summary)\n", + "17. [Discussion Questions](#17-discussion-questions)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8738abd4", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# IMPORTS AND SETUP\n", + "# ============================================================================\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Tuple, Optional, Union\n", + "\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.colors import LogNorm\n", + "from scipy.signal import hilbert, stft, spectrogram\n", + "from scipy.fft import fft, ifft, fftfreq\n", + "\n", + "# Add src to path for local imports\n", + "sys.path.insert(0, str(Path.cwd().parents[2]))\n", + "\n", + "from src.colors import COLORS\n", + "from src.filtering import bandpass_filter\n", + "\n", + "# Color aliases for convenience - following style guide\n", + "PRIMARY_BLUE = COLORS[\"signal_1\"] # Sky Blue\n", + "PRIMARY_RED = COLORS[\"signal_2\"] # Rose Pink\n", + "PRIMARY_GREEN = COLORS[\"signal_3\"] # Sage Green\n", + "SECONDARY_PURPLE = COLORS[\"high_sync\"] # Purple\n", + "SECONDARY_ORANGE = COLORS[\"signal_4\"] # Golden (used as orange)\n", + "ACCENT_PURPLE = COLORS[\"signal_5\"] # Lavender\n", + "ACCENT_GOLD = COLORS[\"signal_4\"] # Golden\n", + "\n", + "# Sampling frequency (standard EEG)\n", + "fs = 256 # Hz\n", + "\n", + "# Set random seed for reproducibility\n", + "np.random.seed(42)\n", + "\n", + "print(\"✓ Imports successful!\")\n", + "print(f\"NumPy version: {np.__version__}\")" + ] + }, + { + "cell_type": "markdown", + "id": "230caed2", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 1. Introduction — The Problem with FFT\n", + "\n", + "The **Fast Fourier Transform (FFT)** is a powerful tool that decomposes a signal into its frequency components. However, it has a fundamental limitation:\n", + "\n", + "**FFT tells us WHICH frequencies are present, but not WHEN.**\n", + "\n", + "This is problematic for EEG analysis because:\n", + "\n", + "- Neural oscillations are **non-stationary**: they come and go\n", + "- Alpha bursts appear and disappear over seconds\n", + "- Cognitive states change during an experiment\n", + "- Social interactions involve dynamic synchronization\n", + "\n", + "FFT assumes the signal is **stationary** (same statistics throughout), which is rarely true for brain signals.\n", + "\n", + "**Solution**: We need methods that provide BOTH time AND frequency information — this is **time-frequency analysis**." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "454517db", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 1: FFT Loses Temporal Information\n", + "# ============================================================================\n", + "\n", + "# Create a non-stationary signal: frequency changes over time\n", + "duration = 9.0 # seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Three segments with different frequencies\n", + "# 0-3s: 5 Hz, 3-6s: 15 Hz, 6-9s: 10 Hz\n", + "segment1 = np.sin(2 * np.pi * 5 * t[t < 3])\n", + "segment2 = np.sin(2 * np.pi * 15 * t[(t >= 3) & (t < 6)])\n", + "segment3 = np.sin(2 * np.pi * 10 * t[t >= 6])\n", + "\n", + "# Concatenate\n", + "signal_nonstat = np.concatenate([segment1, segment2, segment3])\n", + "\n", + "# Add small noise\n", + "signal_nonstat += 0.1 * np.random.randn(len(signal_nonstat))\n", + "\n", + "# Compute FFT\n", + "n = len(signal_nonstat)\n", + "fft_result = fft(signal_nonstat)\n", + "frequencies = fftfreq(n, 1/fs)\n", + "magnitude = np.abs(fft_result) / n\n", + "\n", + "# Only positive frequencies\n", + "pos_mask = frequencies >= 0\n", + "freq_pos = frequencies[pos_mask]\n", + "mag_pos = 2 * magnitude[pos_mask] # Double for one-sided\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 1, figsize=(14, 8))\n", + "\n", + "# Top: Time domain\n", + "axes[0].plot(t, signal_nonstat, color=PRIMARY_BLUE, linewidth=0.8)\n", + "axes[0].axvline(x=3, color='red', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "axes[0].axvline(x=6, color='red', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "axes[0].annotate('5 Hz', xy=(1.5, 1.2), ha='center', fontsize=12, fontweight='bold', color=COLORS[\"theta\"])\n", + "axes[0].annotate('15 Hz', xy=(4.5, 1.2), ha='center', fontsize=12, fontweight='bold', color=COLORS[\"beta\"])\n", + "axes[0].annotate('10 Hz', xy=(7.5, 1.2), ha='center', fontsize=12, fontweight='bold', color=COLORS[\"alpha\"])\n", + "axes[0].set_xlabel('Time (s)', fontsize=12)\n", + "axes[0].set_ylabel('Amplitude', fontsize=12)\n", + "axes[0].set_title('Time Domain: We Can See WHEN Each Frequency Occurs', fontsize=13, fontweight='bold')\n", + "axes[0].set_xlim(0, 9)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom: Frequency domain (FFT)\n", + "axes[1].plot(freq_pos, mag_pos, color=SECONDARY_PURPLE, linewidth=1.5)\n", + "axes[1].axvline(x=5, color=COLORS[\"theta\"], linestyle='--', linewidth=2, label='5 Hz')\n", + "axes[1].axvline(x=10, color=COLORS[\"alpha\"], linestyle='--', linewidth=2, label='10 Hz')\n", + "axes[1].axvline(x=15, color=COLORS[\"beta\"], linestyle='--', linewidth=2, label='15 Hz')\n", + "axes[1].set_xlabel('Frequency (Hz)', fontsize=12)\n", + "axes[1].set_ylabel('Magnitude', fontsize=12)\n", + "axes[1].set_title('FFT Spectrum: Shows WHICH Frequencies, But Not WHEN!', fontsize=13, fontweight='bold', color='red')\n", + "axes[1].set_xlim(0, 30)\n", + "axes[1].legend(loc='upper right')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Add annotation\n", + "axes[1].annotate('All 3 frequencies visible,\\nbut timing is lost!', \n", + " xy=(20, mag_pos.max()*0.7), fontsize=11, ha='center',\n", + " bbox=dict(boxstyle='round', facecolor='lightyellow', edgecolor='orange'))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"→ FFT reveals all three frequencies (5, 10, 15 Hz)\")\n", + "print(\"→ But we can't tell that 5 Hz was first, 15 Hz second, 10 Hz last!\")\n", + "print(\"→ For non-stationary signals, FFT alone is insufficient.\")" + ] + }, + { + "cell_type": "markdown", + "id": "ab693966", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 2. Intuition — Windows in Time\n", + "\n", + "The solution is intuitive: **compute the FFT on SHORT windows of the signal**, then slide the window through time.\n", + "\n", + "This gives us frequency content at each time point!\n", + "\n", + "However, there's a fundamental **trade-off**:\n", + "\n", + "| Window Size | Time Resolution | Frequency Resolution |\n", + "|-------------|-----------------|---------------------|\n", + "| **Short** | Good (precise timing) | Poor (frequencies blur together) |\n", + "| **Long** | Poor (timing uncertain) | Good (frequencies well-separated) |\n", + "\n", + "This is the **Heisenberg uncertainty principle** for signals:\n", + "\n", + "$$\\Delta t \\times \\Delta f \\geq \\text{constant}$$\n", + "\n", + "**You cannot have perfect resolution in BOTH time AND frequency simultaneously.**\n", + "\n", + "This is not a limitation of our methods — it's a fundamental property of signals!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ed6631d7", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 2: Time-Frequency Trade-off with Different Window Sizes\n", + "# ============================================================================\n", + "\n", + "from scipy.signal import spectrogram as scipy_spectrogram\n", + "\n", + "# Use the non-stationary signal from before\n", + "window_sizes = [0.2, 1.0, 3.0] # seconds\n", + "titles = ['Short Window (0.2s)\\nGood time, poor frequency', \n", + " 'Medium Window (1.0s)\\nBalanced',\n", + " 'Long Window (3.0s)\\nGood frequency, poor time']\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(16, 5))\n", + "\n", + "for idx, (win_sec, title) in enumerate(zip(window_sizes, titles)):\n", + " nperseg = int(win_sec * fs)\n", + " \n", + " # Compute spectrogram\n", + " f, t_spec, Sxx = scipy_spectrogram(signal_nonstat, fs=fs, nperseg=nperseg, \n", + " noverlap=nperseg//2)\n", + " \n", + " # Plot\n", + " im = axes[idx].pcolormesh(t_spec, f, 10*np.log10(Sxx + 1e-10), \n", + " shading='gouraud', cmap='viridis')\n", + " axes[idx].set_ylim(0, 25)\n", + " axes[idx].set_xlabel('Time (s)', fontsize=11)\n", + " axes[idx].set_ylabel('Frequency (Hz)', fontsize=11)\n", + " axes[idx].set_title(title, fontsize=11, fontweight='bold')\n", + " \n", + " # Mark true frequencies\n", + " axes[idx].axhline(y=5, color='white', linestyle='--', alpha=0.5)\n", + " axes[idx].axhline(y=10, color='white', linestyle='--', alpha=0.5)\n", + " axes[idx].axhline(y=15, color='white', linestyle='--', alpha=0.5)\n", + " \n", + " # Mark transitions\n", + " axes[idx].axvline(x=3, color='red', linestyle='--', alpha=0.5)\n", + " axes[idx].axvline(x=6, color='red', linestyle='--', alpha=0.5)\n", + " \n", + " plt.colorbar(im, ax=axes[idx], label='Power (dB)')\n", + "\n", + "plt.suptitle('Visualization 2: The Time-Frequency Trade-off', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Observations:\")\n", + "print(\"- Short window (left): Transitions are sharp, but frequencies blur vertically\")\n", + "print(\"- Medium window (center): Reasonable balance\")\n", + "print(\"- Long window (right): Frequencies are distinct, but transitions are smeared\")\n", + "print(\"\\n→ This is the Heisenberg uncertainty principle in action!\")" + ] + }, + { + "cell_type": "markdown", + "id": "7e1b13e9", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 3. Short-Time Fourier Transform (STFT)\n", + "\n", + "The **Short-Time Fourier Transform (STFT)** formalizes the windowed FFT approach:\n", + "\n", + "1. Apply a **window function** (Hann, Hamming) to a segment of the signal\n", + "2. Compute FFT of the windowed segment\n", + "3. Slide the window forward and repeat\n", + "4. Result: 2D matrix of complex coefficients (frequency × time)\n", + "\n", + "**Key parameters**:\n", + "- `nperseg`: Window length in samples → determines frequency resolution\n", + "- `noverlap`: Overlap between windows → determines time sampling density\n", + "- `window`: Window type (Hann reduces spectral leakage)\n", + "\n", + "The **spectrogram** is the squared magnitude of STFT: $|\\text{STFT}(t, f)|^2$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "afb727af", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 1: compute_stft\n", + "# ============================================================================\n", + "\n", + "def compute_stft(\n", + " signal: NDArray[np.floating],\n", + " fs: float,\n", + " nperseg: int = 256,\n", + " noverlap: Optional[int] = None,\n", + " window: str = \"hann\"\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating], NDArray[np.complexfloating]]:\n", + " \"\"\"\n", + " Compute Short-Time Fourier Transform of a signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.floating]\n", + " Input signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " nperseg : int, optional\n", + " Window length in samples (default: 256).\n", + " noverlap : int, optional\n", + " Overlap between windows (default: nperseg // 2).\n", + " window : str, optional\n", + " Window type (default: 'hann').\n", + " \n", + " Returns\n", + " -------\n", + " frequencies : NDArray[np.floating]\n", + " Frequency values in Hz.\n", + " times : NDArray[np.floating]\n", + " Time values in seconds.\n", + " stft_matrix : NDArray[np.complexfloating]\n", + " Complex STFT matrix (frequency × time).\n", + " \"\"\"\n", + " if noverlap is None:\n", + " noverlap = nperseg // 2\n", + " \n", + " frequencies, times, stft_matrix = stft(signal, fs=fs, nperseg=nperseg,\n", + " noverlap=noverlap, window=window)\n", + " \n", + " return frequencies, times, stft_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f2cc5d09", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 2: compute_spectrogram\n", + "# ============================================================================\n", + "\n", + "def compute_spectrogram(\n", + " signal: NDArray[np.floating],\n", + " fs: float,\n", + " nperseg: int = 256,\n", + " noverlap: Optional[int] = None,\n", + " window: str = \"hann\"\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"\n", + " Compute power spectrogram (squared magnitude of STFT).\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.floating]\n", + " Input signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " nperseg : int, optional\n", + " Window length in samples (default: 256).\n", + " noverlap : int, optional\n", + " Overlap between windows (default: nperseg // 2).\n", + " window : str, optional\n", + " Window type (default: 'hann').\n", + " \n", + " Returns\n", + " -------\n", + " frequencies : NDArray[np.floating]\n", + " Frequency values in Hz.\n", + " times : NDArray[np.floating]\n", + " Time values in seconds.\n", + " power : NDArray[np.floating]\n", + " Power spectrogram (frequency × time).\n", + " \"\"\"\n", + " frequencies, times, stft_matrix = compute_stft(signal, fs, nperseg, \n", + " noverlap, window)\n", + " power = np.abs(stft_matrix) ** 2\n", + " \n", + " return frequencies, times, power" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36e83555", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 3: STFT Spectrogram\n", + "# ============================================================================\n", + "\n", + "# Compute spectrogram with balanced parameters\n", + "nperseg_stft = int(1.0 * fs) # 1-second window\n", + "freqs_stft, times_stft, power_stft = compute_spectrogram(signal_nonstat, fs, \n", + " nperseg=nperseg_stft)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 1, figsize=(14, 9), gridspec_kw={'height_ratios': [1, 2]})\n", + "\n", + "# Top: Time domain signal\n", + "axes[0].plot(t, signal_nonstat, color=PRIMARY_BLUE, linewidth=0.8)\n", + "axes[0].axvline(x=3, color='red', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "axes[0].axvline(x=6, color='red', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "axes[0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0].set_title('Non-Stationary Signal', fontsize=12, fontweight='bold')\n", + "axes[0].set_xlim(0, 9)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Bottom: Spectrogram\n", + "im = axes[1].pcolormesh(times_stft, freqs_stft, 10*np.log10(power_stft + 1e-10),\n", + " shading='gouraud', cmap='viridis')\n", + "axes[1].set_xlabel('Time (s)', fontsize=12)\n", + "axes[1].set_ylabel('Frequency (Hz)', fontsize=12)\n", + "axes[1].set_title('STFT Spectrogram: Now We See BOTH Time AND Frequency!', \n", + " fontsize=12, fontweight='bold', color='green')\n", + "axes[1].set_ylim(0, 25)\n", + "\n", + "# Mark transitions\n", + "axes[1].axvline(x=3, color='red', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "axes[1].axvline(x=6, color='red', linestyle='--', linewidth=1.5, alpha=0.7)\n", + "\n", + "# Mark frequencies\n", + "axes[1].axhline(y=5, color='white', linestyle=':', alpha=0.5)\n", + "axes[1].axhline(y=10, color='white', linestyle=':', alpha=0.5)\n", + "axes[1].axhline(y=15, color='white', linestyle=':', alpha=0.5)\n", + "\n", + "# Annotate\n", + "axes[1].annotate('5 Hz', xy=(1.5, 5), color='white', fontweight='bold', fontsize=11, ha='center')\n", + "axes[1].annotate('15 Hz', xy=(4.5, 15), color='white', fontweight='bold', fontsize=11, ha='center')\n", + "axes[1].annotate('10 Hz', xy=(7.5, 10), color='white', fontweight='bold', fontsize=11, ha='center')\n", + "\n", + "cbar = plt.colorbar(im, ax=axes[1])\n", + "cbar.set_label('Power (dB)', fontsize=11)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ The spectrogram clearly shows:\")\n", + "print(\" - 5 Hz from 0-3s\")\n", + "print(\" - 15 Hz from 3-6s\")\n", + "print(\" - 10 Hz from 6-9s\")\n", + "print(\"→ We now have BOTH time and frequency information!\")" + ] + }, + { + "cell_type": "markdown", + "id": "a3da82c7", + "metadata": {}, + "source": [ + "J'ai créé le notebook avec les imports et les sections 1-3. Continuons avec les sections 4-6 ?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3f7839e8", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: STFT resolution trade-off comparison\n", + "# Same signal analyzed with different window sizes\n", + "\n", + "# Create a chirp signal (frequency increases over time)\n", + "duration = 4.0 # Longer signal to accommodate large windows\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "# Chirp from 5 Hz to 40 Hz\n", + "chirp = np.sin(2 * np.pi * (5 * t + (40 - 5) / (2 * duration) * t**2))\n", + "chirp += np.random.randn(len(t)) * 0.1 # Small noise\n", + "\n", + "# Compare different window sizes (adjusted for fs=256)\n", + "window_sizes = [32, 128, 512] # in samples\n", + "window_labels = ['32 samples\\n(High time res)', '128 samples\\n(Balanced)', '512 samples\\n(High freq res)']\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(12, 6))\n", + "\n", + "# Top row: Spectrograms\n", + "for idx, (nperseg, label) in enumerate(zip(window_sizes, window_labels)):\n", + " noverlap = nperseg // 2 if nperseg > 2 else 0\n", + " f, t_spec, Sxx = spectrogram(chirp, fs=fs, nperseg=nperseg, noverlap=noverlap)\n", + " \n", + " # Limit to 0-50 Hz\n", + " freq_mask = f <= 50\n", + " \n", + " ax = axes[0, idx]\n", + " im = ax.pcolormesh(t_spec, f[freq_mask], 10 * np.log10(Sxx[freq_mask] + 1e-10),\n", + " shading='gouraud', cmap='viridis')\n", + " \n", + " # Overlay true frequency trajectory\n", + " true_freq = 5 + (40 - 5) / duration * t_spec\n", + " ax.plot(t_spec, true_freq, color=SECONDARY_ORANGE, linewidth=2, \n", + " linestyle='--', label='True frequency')\n", + " \n", + " ax.set_ylabel('Frequency (Hz)' if idx == 0 else '')\n", + " ax.set_xlabel('Time (s)')\n", + " ax.set_title(label, fontsize=11)\n", + " ax.set_ylim([0, 50])\n", + "\n", + "# Bottom row: Time-frequency resolution boxes\n", + "for idx, (nperseg, label) in enumerate(zip(window_sizes, window_labels)):\n", + " ax = axes[1, idx]\n", + " \n", + " # Calculate resolution\n", + " time_res = nperseg / fs # seconds\n", + " freq_res = fs / nperseg # Hz\n", + " \n", + " # Draw resolution boxes at different frequencies\n", + " frequencies = [10, 20, 30]\n", + " times = [1.0, 2.0, 3.0]\n", + " \n", + " for f_center, t_center in zip(frequencies, times):\n", + " # All boxes have same size (STFT limitation)\n", + " rect = plt.Rectangle((t_center - time_res/2, f_center - freq_res/2),\n", + " time_res, freq_res, \n", + " fill=False, edgecolor=PRIMARY_BLUE, linewidth=2)\n", + " ax.add_patch(rect)\n", + " \n", + " ax.set_xlim([0, 4])\n", + " ax.set_ylim([0, 50])\n", + " ax.set_xlabel('Time (s)')\n", + " ax.set_ylabel('Frequency (Hz)' if idx == 0 else '')\n", + " ax.set_title(f'Δt={time_res*1000:.0f}ms, Δf={freq_res:.1f}Hz', fontsize=10)\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle('STFT Resolution Trade-off: Fixed Time-Frequency Boxes', fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"📊 Key insight: In STFT, all frequencies use the same resolution box!\")\n", + "print(\" This is inefficient: high frequencies need good time resolution,\")\n", + "print(\" while low frequencies need good frequency resolution.\")" + ] + }, + { + "cell_type": "markdown", + "id": "2a79f77b", + "metadata": {}, + "source": [ + "## 5. Introduction to Wavelets 🌊\n", + "\n", + "A **wavelet** is a small wave-like oscillation that:\n", + "- Starts at zero\n", + "- Increases in amplitude\n", + "- Returns to zero\n", + "- Has finite duration (localized in time)\n", + "\n", + "Unlike sines and cosines (which extend infinitely), wavelets are **compact**.\n", + "\n", + "### Why Wavelets for EEG?\n", + "\n", + "| Fourier (Sines) | Wavelets |\n", + "|-----------------|----------|\n", + "| Infinite duration | Finite duration |\n", + "| Perfect frequency localization | Good frequency localization |\n", + "| No time localization | Good time localization |\n", + "| Same resolution everywhere | Adaptive resolution |\n", + "\n", + "### The Multi-Resolution Principle\n", + "\n", + "Wavelets solve the resolution trade-off elegantly:\n", + "- **High frequencies** → Short wavelets → Good time resolution\n", + "- **Low frequencies** → Long wavelets → Good frequency resolution\n", + "\n", + "This matches what we need in EEG:\n", + "- Fast gamma bursts need precise timing\n", + "- Slow alpha oscillations need precise frequency" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8204f99d", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: Gallery of common wavelets\n", + "# Show different wavelet families and their properties\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(12, 6))\n", + "\n", + "# Parameters\n", + "n_points = 256\n", + "t_wavelet = np.linspace(-2, 2, n_points)\n", + "\n", + "# Row 1: Different wavelet types\n", + "# Morlet wavelet (complex - we show real part)\n", + "def create_morlet(n_points: int, width: float, w: float = 5.0) -> NDArray:\n", + " \"\"\"Create a complex Morlet wavelet.\"\"\"\n", + " t = np.linspace(-width, width, n_points)\n", + " gaussian = np.exp(-t**2 / 2)\n", + " oscillation = np.exp(1j * w * t)\n", + " return gaussian * oscillation\n", + "\n", + "morlet_wav = create_morlet(n_points, 4, w=5.0)\n", + "\n", + "axes[0, 0].plot(t_wavelet, np.real(morlet_wav), color=PRIMARY_BLUE, linewidth=2, label='Real')\n", + "axes[0, 0].plot(t_wavelet, np.imag(morlet_wav), color=PRIMARY_RED, linewidth=2, alpha=0.7, label='Imaginary')\n", + "axes[0, 0].plot(t_wavelet, np.abs(morlet_wav), color=PRIMARY_GREEN, linewidth=2, linestyle='--', label='Envelope')\n", + "axes[0, 0].set_title('Morlet Wavelet', fontsize=11, fontweight='bold')\n", + "axes[0, 0].legend(loc='upper right', fontsize=8)\n", + "axes[0, 0].set_xlabel('Time (a.u.)')\n", + "\n", + "# Mexican hat (Ricker) wavelet - manual implementation\n", + "def create_ricker(n_points: int, sigma: float) -> NDArray:\n", + " \"\"\"Create a Ricker (Mexican hat) wavelet.\"\"\"\n", + " t = np.linspace(-4, 4, n_points)\n", + " A = 2 / (np.sqrt(3 * sigma) * np.pi**0.25)\n", + " return A * (1 - (t/sigma)**2) * np.exp(-t**2 / (2 * sigma**2))\n", + "\n", + "ricker_wav = create_ricker(n_points, 1.0)\n", + "axes[0, 1].plot(t_wavelet, ricker_wav, color=SECONDARY_PURPLE, linewidth=2)\n", + "axes[0, 1].set_title('Mexican Hat (Ricker)', fontsize=11, fontweight='bold')\n", + "axes[0, 1].set_xlabel('Time (a.u.)')\n", + "\n", + "# Haar wavelet (simple step function)\n", + "haar = np.zeros(n_points)\n", + "haar[n_points//4:n_points//2] = 1\n", + "haar[n_points//2:3*n_points//4] = -1\n", + "axes[0, 2].plot(t_wavelet, haar, color=SECONDARY_ORANGE, linewidth=2)\n", + "axes[0, 2].set_title('Haar Wavelet', fontsize=11, fontweight='bold')\n", + "axes[0, 2].set_xlabel('Time (a.u.)')\n", + "\n", + "# Row 2: Morlet at different frequencies (scales)\n", + "frequencies = [5, 15, 30] # Hz\n", + "colors = [PRIMARY_BLUE, PRIMARY_GREEN, PRIMARY_RED]\n", + "\n", + "for idx, (freq, color) in enumerate(zip(frequencies, colors)):\n", + " # Scale wavelet duration inversely with frequency\n", + " # Higher frequency = shorter wavelet\n", + " n_cycles = 5\n", + " wavelet_duration = n_cycles / freq\n", + " t_wav = np.linspace(-wavelet_duration, wavelet_duration, n_points)\n", + " \n", + " # Create Morlet-like wavelet\n", + " gaussian_env = np.exp(-t_wav**2 * freq**2 / (2 * n_cycles**2))\n", + " wavelet = gaussian_env * np.cos(2 * np.pi * freq * t_wav)\n", + " \n", + " axes[1, idx].plot(t_wav, wavelet, color=color, linewidth=2)\n", + " axes[1, idx].fill_between(t_wav, -gaussian_env, gaussian_env, alpha=0.2, color=color)\n", + " axes[1, idx].set_title(f'{freq} Hz Morlet\\n(duration: {wavelet_duration*1000:.0f} ms)', fontsize=10)\n", + " axes[1, idx].set_xlabel('Time (s)')\n", + " axes[1, idx].set_xlim([-0.5, 0.5])\n", + "\n", + "# Common formatting\n", + "for ax in axes.flat:\n", + " ax.set_ylabel('Amplitude')\n", + " ax.axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle('Wavelet Gallery: Different Types and Multi-Resolution Property', fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"🌊 Key insight: Higher frequency wavelets are SHORTER!\")\n", + "print(\" This is the multi-resolution property that makes wavelets ideal for EEG.\")" + ] + }, + { + "cell_type": "markdown", + "id": "680cc0da", + "metadata": {}, + "source": [ + "## 6. The Morlet Wavelet: Our Tool of Choice 🎯\n", + "\n", + "For EEG analysis, the **complex Morlet wavelet** is the standard. It consists of:\n", + "\n", + "1. **A cosine wave** at the target frequency (real part)\n", + "2. **A sine wave** at the target frequency (imaginary part) \n", + "3. **A Gaussian envelope** that tapers the oscillation\n", + "\n", + "$$\\psi(t, f) = A \\cdot e^{-\\frac{t^2}{2\\sigma_t^2}} \\cdot e^{i 2\\pi f t}$$\n", + "\n", + "Where:\n", + "- $A$ is a normalization constant\n", + "- $\\sigma_t$ is the temporal standard deviation (controls width)\n", + "- $f$ is the center frequency\n", + "- $i = \\sqrt{-1}$ (imaginary unit)\n", + "\n", + "### The n_cycles Parameter\n", + "\n", + "The width of the Gaussian envelope is often expressed in **number of cycles**:\n", + "\n", + "$$\\sigma_t = \\frac{n_{cycles}}{2\\pi f}$$\n", + "\n", + "- **More cycles** → Better frequency resolution, worse time resolution\n", + "- **Fewer cycles** → Better time resolution, worse frequency resolution\n", + "\n", + "Typical values: 3-7 cycles (5-7 common for EEG)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9d9e8831", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 3: Create Morlet wavelet\n", + "\n", + "def create_morlet_wavelet(\n", + " frequency: float,\n", + " fs: float,\n", + " n_cycles: float = 5.0,\n", + " return_time: bool = False\n", + ") -> Union[NDArray[np.complex128], Tuple[NDArray[np.complex128], NDArray[np.float64]]]:\n", + " \"\"\"\n", + " Create a complex Morlet wavelet for a given frequency.\n", + " \n", + " The Morlet wavelet is a complex exponential modulated by a Gaussian\n", + " envelope, making it ideal for time-frequency analysis.\n", + " \n", + " Parameters\n", + " ----------\n", + " frequency : float\n", + " Center frequency of the wavelet in Hz.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " n_cycles : float, optional\n", + " Number of cycles in the wavelet. Controls the trade-off between\n", + " time and frequency resolution. Default is 5.0.\n", + " return_time : bool, optional\n", + " If True, also return the time vector. Default is False.\n", + " \n", + " Returns\n", + " -------\n", + " wavelet : ndarray of complex128\n", + " Complex Morlet wavelet, normalized to unit energy.\n", + " time : ndarray of float64, optional\n", + " Time vector in seconds (only if return_time=True).\n", + " \n", + " Notes\n", + " -----\n", + " The wavelet duration is set to 4 * sigma_t on each side, where\n", + " sigma_t = n_cycles / (2 * pi * frequency).\n", + " \n", + " Examples\n", + " --------\n", + " >>> wavelet = create_morlet_wavelet(10, 256, n_cycles=5)\n", + " >>> len(wavelet) # Depends on frequency and sampling rate\n", + " \"\"\"\n", + " # Calculate temporal standard deviation\n", + " sigma_t = n_cycles / (2 * np.pi * frequency)\n", + " \n", + " # Wavelet duration: 4 sigma on each side captures >99.99% of energy\n", + " wavelet_duration = 4 * sigma_t\n", + " \n", + " # Create time vector\n", + " n_samples = int(2 * wavelet_duration * fs) + 1\n", + " time = np.linspace(-wavelet_duration, wavelet_duration, n_samples)\n", + " \n", + " # Create Gaussian envelope\n", + " gaussian = np.exp(-time**2 / (2 * sigma_t**2))\n", + " \n", + " # Create complex sinusoid\n", + " sinusoid = np.exp(2j * np.pi * frequency * time)\n", + " \n", + " # Combine to form Morlet wavelet\n", + " wavelet = gaussian * sinusoid\n", + " \n", + " # Normalize to unit energy\n", + " wavelet = wavelet / np.sqrt(np.sum(np.abs(wavelet)**2))\n", + " \n", + " if return_time:\n", + " return wavelet, time\n", + " return wavelet\n", + "\n", + "\n", + "# Test the function\n", + "test_wavelet, test_time = create_morlet_wavelet(10, 256, n_cycles=5, return_time=True)\n", + "print(f\"✓ Created Morlet wavelet at 10 Hz\")\n", + "print(f\" - Length: {len(test_wavelet)} samples\")\n", + "print(f\" - Duration: {test_time[-1] - test_time[0]:.3f} s\")\n", + "print(f\" - Energy: {np.sum(np.abs(test_wavelet)**2):.4f} (should be ~1.0)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "37d5a18b", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6: Morlet wavelet components\n", + "\n", + "wavelet, time = create_morlet_wavelet(10, 256, n_cycles=5, return_time=True)\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 6))\n", + "\n", + "# Real part (cosine)\n", + "axes[0, 0].plot(time, np.real(wavelet), color=PRIMARY_BLUE, linewidth=2)\n", + "axes[0, 0].fill_between(time, 0, np.real(wavelet), alpha=0.3, color=PRIMARY_BLUE)\n", + "axes[0, 0].set_title('Real Part (Cosine Component)', fontsize=11)\n", + "axes[0, 0].set_ylabel('Amplitude')\n", + "axes[0, 0].axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "\n", + "# Imaginary part (sine)\n", + "axes[0, 1].plot(time, np.imag(wavelet), color=PRIMARY_RED, linewidth=2)\n", + "axes[0, 1].fill_between(time, 0, np.imag(wavelet), alpha=0.3, color=PRIMARY_RED)\n", + "axes[0, 1].set_title('Imaginary Part (Sine Component)', fontsize=11)\n", + "axes[0, 1].axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "\n", + "# Magnitude (envelope)\n", + "axes[1, 0].plot(time, np.abs(wavelet), color=PRIMARY_GREEN, linewidth=2)\n", + "axes[1, 0].fill_between(time, 0, np.abs(wavelet), alpha=0.3, color=PRIMARY_GREEN)\n", + "axes[1, 0].set_title('Magnitude (Gaussian Envelope)', fontsize=11)\n", + "axes[1, 0].set_xlabel('Time (s)')\n", + "axes[1, 0].set_ylabel('Amplitude')\n", + "\n", + "# Phase\n", + "phase = np.angle(wavelet)\n", + "axes[1, 1].plot(time, phase, color=SECONDARY_PURPLE, linewidth=2)\n", + "axes[1, 1].axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "axes[1, 1].set_title('Phase (Linear at Center)', fontsize=11)\n", + "axes[1, 1].set_xlabel('Time (s)')\n", + "axes[1, 1].set_ylabel('Phase (radians)')\n", + "axes[1, 1].set_yticks([-np.pi, -np.pi/2, 0, np.pi/2, np.pi])\n", + "axes[1, 1].set_yticklabels(['-π', '-π/2', '0', 'π/2', 'π'])\n", + "\n", + "for ax in axes.flat:\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle('Anatomy of a Complex Morlet Wavelet (10 Hz, 5 cycles)', \n", + " fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"🎯 The complex Morlet gives us:\")\n", + "print(\" - Amplitude via |wavelet| (the Gaussian envelope)\")\n", + "print(\" - Phase via angle(wavelet) (linear phase = constant frequency)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6fe66ed9", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 7: Effect of n_cycles on wavelet properties\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(12, 6))\n", + "\n", + "n_cycles_values = [3, 5, 7]\n", + "frequency = 10 # Hz\n", + "\n", + "# Top row: Wavelets in time domain\n", + "for idx, n_cycles in enumerate(n_cycles_values):\n", + " wavelet, time = create_morlet_wavelet(frequency, 256, n_cycles=n_cycles, return_time=True)\n", + " \n", + " ax = axes[0, idx]\n", + " ax.plot(time, np.real(wavelet), color=PRIMARY_BLUE, linewidth=2, label='Real')\n", + " ax.plot(time, np.abs(wavelet), color=PRIMARY_GREEN, linewidth=2, linestyle='--', label='Envelope')\n", + " \n", + " # Mark wavelet duration\n", + " sigma_t = n_cycles / (2 * np.pi * frequency)\n", + " ax.axvline(x=-2*sigma_t, color='gray', linestyle=':', alpha=0.7)\n", + " ax.axvline(x=2*sigma_t, color='gray', linestyle=':', alpha=0.7)\n", + " \n", + " ax.set_title(f'n_cycles = {n_cycles}\\n(σ_t = {sigma_t*1000:.1f} ms)', fontsize=10)\n", + " ax.set_xlabel('Time (s)')\n", + " if idx == 0:\n", + " ax.set_ylabel('Amplitude')\n", + " ax.legend(fontsize=8)\n", + " ax.grid(True, alpha=0.3)\n", + " ax.set_xlim([-0.4, 0.4])\n", + "\n", + "# Bottom row: Frequency response (FFT of wavelet)\n", + "for idx, n_cycles in enumerate(n_cycles_values):\n", + " wavelet, time = create_morlet_wavelet(frequency, 256, n_cycles=n_cycles, return_time=True)\n", + " \n", + " # Compute FFT\n", + " n_fft = 1024\n", + " fft_wavelet = np.fft.fft(wavelet, n=n_fft)\n", + " freqs = np.fft.fftfreq(n_fft, 1/256)\n", + " \n", + " # Keep positive frequencies\n", + " pos_mask = freqs >= 0\n", + " freqs_pos = freqs[pos_mask]\n", + " power = np.abs(fft_wavelet[pos_mask])**2\n", + " power = power / power.max() # Normalize\n", + " \n", + " ax = axes[1, idx]\n", + " ax.plot(freqs_pos, power, color=SECONDARY_PURPLE, linewidth=2)\n", + " ax.fill_between(freqs_pos, 0, power, alpha=0.3, color=SECONDARY_PURPLE)\n", + " ax.axvline(x=frequency, color='gray', linestyle='--', alpha=0.7)\n", + " \n", + " # Calculate frequency resolution (FWHM)\n", + " half_max = 0.5\n", + " above_half = freqs_pos[power > half_max]\n", + " if len(above_half) > 0:\n", + " fwhm = above_half[-1] - above_half[0]\n", + " ax.set_title(f'Freq. resolution: FWHM ≈ {fwhm:.1f} Hz', fontsize=10)\n", + " \n", + " ax.set_xlabel('Frequency (Hz)')\n", + " if idx == 0:\n", + " ax.set_ylabel('Power (normalized)')\n", + " ax.set_xlim([0, 30])\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle(f'Effect of n_cycles on Time-Frequency Resolution (f = {frequency} Hz)', \n", + " fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"📊 Trade-off summary:\")\n", + "print(\" - Low n_cycles (3): Short wavelet, poor frequency resolution\")\n", + "print(\" - High n_cycles (7): Long wavelet, excellent frequency resolution\")\n", + "print(\" - Common choice: 5-7 cycles for EEG analysis\")" + ] + }, + { + "cell_type": "markdown", + "id": "d262321b", + "metadata": {}, + "source": [ + "## 7. Wavelet Convolution: How It Works ⚙️\n", + "\n", + "To extract time-frequency information, we **convolve** the signal with each wavelet:\n", + "\n", + "$$W(t, f) = s(t) * \\psi^*(t, f)$$\n", + "\n", + "Where:\n", + "- $s(t)$ is our signal\n", + "- $\\psi^*(t, f)$ is the complex conjugate of the Morlet wavelet at frequency $f$\n", + "- $*$ denotes convolution\n", + "\n", + "### The Convolution Process\n", + "\n", + "1. **Slide** the wavelet along the signal\n", + "2. At each time point, **multiply** signal × wavelet\n", + "3. **Sum** the products → This gives the wavelet coefficient\n", + "\n", + "The result $W(t, f)$ is a **complex number** at each time-frequency point:\n", + "- **Magnitude** $|W(t, f)|$ → Power at that time-frequency\n", + "- **Phase** $\\angle W(t, f)$ → Phase at that time-frequency\n", + "\n", + "### Efficient Implementation\n", + "\n", + "Instead of sliding and multiplying (slow), we use the **convolution theorem**:\n", + "\n", + "$$\\mathcal{F}\\{s * \\psi\\} = \\mathcal{F}\\{s\\} \\cdot \\mathcal{F}\\{\\psi\\}$$\n", + "\n", + "Convolution in time = Multiplication in frequency → Much faster!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "010700f9", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 4: Wavelet convolution (single frequency)\n", + "\n", + "def wavelet_convolution(\n", + " signal: NDArray[np.float64],\n", + " wavelet: NDArray[np.complex128],\n", + " mode: str = 'same'\n", + ") -> NDArray[np.complex128]:\n", + " \"\"\"\n", + " Convolve a signal with a complex wavelet using FFT for efficiency.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : ndarray of float64\n", + " Input signal (1D array).\n", + " wavelet : ndarray of complex128\n", + " Complex wavelet (e.g., Morlet wavelet).\n", + " mode : str, optional\n", + " Convolution mode. 'same' returns output with same length as signal.\n", + " Default is 'same'.\n", + " \n", + " Returns\n", + " -------\n", + " result : ndarray of complex128\n", + " Complex-valued convolution result. The magnitude gives power,\n", + " and the angle gives instantaneous phase.\n", + " \n", + " Notes\n", + " -----\n", + " Uses FFT-based convolution (convolution theorem) for efficiency:\n", + " conv(s, w) = ifft(fft(s) * fft(w))\n", + " \n", + " Examples\n", + " --------\n", + " >>> signal = np.sin(2 * np.pi * 10 * np.linspace(0, 1, 256))\n", + " >>> wavelet = create_morlet_wavelet(10, 256, n_cycles=5)\n", + " >>> result = wavelet_convolution(signal, wavelet)\n", + " >>> power = np.abs(result) ** 2\n", + " \"\"\"\n", + " # Determine FFT size (next power of 2 for efficiency)\n", + " n_signal = len(signal)\n", + " n_wavelet = len(wavelet)\n", + " n_conv = n_signal + n_wavelet - 1\n", + " n_fft = int(2 ** np.ceil(np.log2(n_conv)))\n", + " \n", + " # FFT of signal and wavelet\n", + " signal_fft = np.fft.fft(signal, n=n_fft)\n", + " wavelet_fft = np.fft.fft(wavelet, n=n_fft)\n", + " \n", + " # Multiply in frequency domain (convolution theorem)\n", + " result_fft = signal_fft * wavelet_fft\n", + " \n", + " # Inverse FFT\n", + " result = np.fft.ifft(result_fft)\n", + " \n", + " # Trim to match 'same' mode\n", + " if mode == 'same':\n", + " # Remove half the wavelet length from each end\n", + " start = (n_wavelet - 1) // 2\n", + " result = result[start:start + n_signal]\n", + " \n", + " return result\n", + "\n", + "\n", + "# Test the function\n", + "test_signal = np.sin(2 * np.pi * 10 * np.linspace(0, 1, 256))\n", + "test_wavelet = create_morlet_wavelet(10, 256, n_cycles=5)\n", + "test_result = wavelet_convolution(test_signal, test_wavelet)\n", + "\n", + "print(f\"✓ Wavelet convolution completed\")\n", + "print(f\" - Input signal length: {len(test_signal)}\")\n", + "print(f\" - Wavelet length: {len(test_wavelet)}\")\n", + "print(f\" - Output length: {len(test_result)} (same as input)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d4483f89", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 8: Wavelet convolution step by step\n", + "\n", + "# Create signal with a 10 Hz burst in the middle\n", + "duration = 2.0\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "signal = np.zeros_like(t)\n", + "\n", + "# Add burst between 0.5-1.5s\n", + "burst_mask = (t >= 0.5) & (t <= 1.5)\n", + "signal[burst_mask] = np.sin(2 * np.pi * 10 * t[burst_mask])\n", + "signal += np.random.randn(len(t)) * 0.1 # Small noise\n", + "\n", + "# Create wavelet at 10 Hz\n", + "wavelet, wavelet_time = create_morlet_wavelet(10, fs, n_cycles=5, return_time=True)\n", + "\n", + "# Perform convolution\n", + "result = wavelet_convolution(signal, wavelet)\n", + "\n", + "fig, axes = plt.subplots(4, 1, figsize=(12, 8), sharex=True)\n", + "\n", + "# Original signal\n", + "axes[0].plot(t, signal, color=PRIMARY_BLUE, linewidth=1)\n", + "axes[0].axvspan(0.5, 1.5, alpha=0.2, color=SECONDARY_ORANGE, label='10 Hz burst')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Original Signal (10 Hz burst from 0.5-1.5s)', fontsize=11)\n", + "axes[0].legend(loc='upper right')\n", + "\n", + "# Real part of convolution result\n", + "axes[1].plot(t, np.real(result), color=PRIMARY_BLUE, linewidth=1)\n", + "axes[1].set_ylabel('Real part')\n", + "axes[1].set_title('Real Part of Wavelet Convolution', fontsize=11)\n", + "\n", + "# Imaginary part of convolution result\n", + "axes[2].plot(t, np.imag(result), color=PRIMARY_RED, linewidth=1)\n", + "axes[2].set_ylabel('Imaginary part')\n", + "axes[2].set_title('Imaginary Part of Wavelet Convolution', fontsize=11)\n", + "\n", + "# Power (magnitude squared)\n", + "power = np.abs(result) ** 2\n", + "axes[3].plot(t, power, color=PRIMARY_GREEN, linewidth=2)\n", + "axes[3].fill_between(t, 0, power, alpha=0.3, color=PRIMARY_GREEN)\n", + "axes[3].axvspan(0.5, 1.5, alpha=0.2, color=SECONDARY_ORANGE)\n", + "axes[3].set_ylabel('Power')\n", + "axes[3].set_xlabel('Time (s)')\n", + "axes[3].set_title('Power = |convolution|² (Detects the 10 Hz burst!)', fontsize=11)\n", + "\n", + "for ax in axes:\n", + " ax.grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle('Wavelet Convolution: From Signal to Time-Frequency Power', \n", + " fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"🎯 The power trace correctly identifies WHEN the 10 Hz activity is present!\")\n", + "print(\" This is the key advantage of wavelet analysis over standard FFT.\")" + ] + }, + { + "cell_type": "markdown", + "id": "004d5722", + "metadata": {}, + "source": [ + "## 8. Full Wavelet Transform: Multiple Frequencies 🌈\n", + "\n", + "To get a complete time-frequency representation, we:\n", + "1. Create wavelets for each frequency of interest\n", + "2. Convolve the signal with each wavelet\n", + "3. Stack the results into a 2D matrix (frequency × time)\n", + "\n", + "This gives us a **time-frequency map** (scalogram) similar to STFT's spectrogram, \n", + "but with multi-resolution properties." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ba9c3784", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 5: Full wavelet transform\n", + "\n", + "def compute_wavelet_transform(\n", + " signal: NDArray[np.float64],\n", + " frequencies: NDArray[np.float64],\n", + " fs: float,\n", + " n_cycles: Union[float, NDArray[np.float64]] = 5.0\n", + ") -> NDArray[np.complex128]:\n", + " \"\"\"\n", + " Compute the continuous wavelet transform using complex Morlet wavelets.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : ndarray of float64\n", + " Input signal (1D array).\n", + " frequencies : ndarray of float64\n", + " Array of frequencies to analyze (in Hz).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " n_cycles : float or ndarray, optional\n", + " Number of cycles for the wavelets. Can be a single value or\n", + " an array with one value per frequency. Default is 5.0.\n", + " \n", + " Returns\n", + " -------\n", + " tfr : ndarray of complex128\n", + " Complex time-frequency representation with shape (n_frequencies, n_times).\n", + " \n", + " Notes\n", + " -----\n", + " The magnitude squared of the result gives power, and the angle gives phase.\n", + " \n", + " Examples\n", + " --------\n", + " >>> signal = np.sin(2 * np.pi * 10 * np.linspace(0, 1, 256))\n", + " >>> frequencies = np.arange(5, 40, 1)\n", + " >>> tfr = compute_wavelet_transform(signal, frequencies, 256)\n", + " >>> power = np.abs(tfr) ** 2\n", + " \"\"\"\n", + " n_times = len(signal)\n", + " n_freqs = len(frequencies)\n", + " \n", + " # Handle n_cycles (scalar or array)\n", + " if np.isscalar(n_cycles):\n", + " n_cycles_array = np.full(n_freqs, n_cycles)\n", + " else:\n", + " n_cycles_array = np.asarray(n_cycles)\n", + " \n", + " # Initialize output\n", + " tfr = np.zeros((n_freqs, n_times), dtype=np.complex128)\n", + " \n", + " # Convolve with each wavelet\n", + " for idx, (freq, nc) in enumerate(zip(frequencies, n_cycles_array)):\n", + " wavelet = create_morlet_wavelet(freq, fs, n_cycles=nc)\n", + " tfr[idx, :] = wavelet_convolution(signal, wavelet)\n", + " \n", + " return tfr\n", + "\n", + "\n", + "# Function 6: Compute wavelet power\n", + "\n", + "def compute_wavelet_power(\n", + " signal: NDArray[np.float64],\n", + " frequencies: NDArray[np.float64],\n", + " fs: float,\n", + " n_cycles: Union[float, NDArray[np.float64]] = 5.0,\n", + " baseline: Optional[Tuple[float, float]] = None,\n", + " baseline_mode: str = 'ratio'\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute time-frequency power using wavelet transform.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : ndarray of float64\n", + " Input signal (1D array).\n", + " frequencies : ndarray of float64\n", + " Array of frequencies to analyze (in Hz).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " n_cycles : float or ndarray, optional\n", + " Number of cycles for the wavelets. Default is 5.0.\n", + " baseline : tuple of float, optional\n", + " Baseline period as (start, end) in seconds. If provided, power is\n", + " normalized relative to this baseline.\n", + " baseline_mode : str, optional\n", + " How to normalize: 'ratio' (divide by baseline), 'zscore', or 'percent'.\n", + " Default is 'ratio'.\n", + " \n", + " Returns\n", + " -------\n", + " power : ndarray of float64\n", + " Time-frequency power with shape (n_frequencies, n_times).\n", + " \n", + " Examples\n", + " --------\n", + " >>> signal = np.sin(2 * np.pi * 10 * np.linspace(0, 1, 256))\n", + " >>> freqs = np.arange(5, 40, 1)\n", + " >>> power = compute_wavelet_power(signal, freqs, 256)\n", + " \"\"\"\n", + " # Compute wavelet transform\n", + " tfr = compute_wavelet_transform(signal, frequencies, fs, n_cycles)\n", + " \n", + " # Get power (magnitude squared)\n", + " power = np.abs(tfr) ** 2\n", + " \n", + " # Apply baseline normalization if requested\n", + " if baseline is not None:\n", + " times = np.arange(len(signal)) / fs\n", + " baseline_mask = (times >= baseline[0]) & (times <= baseline[1])\n", + " baseline_power = power[:, baseline_mask].mean(axis=1, keepdims=True)\n", + " \n", + " if baseline_mode == 'ratio':\n", + " power = power / baseline_power\n", + " elif baseline_mode == 'zscore':\n", + " baseline_std = power[:, baseline_mask].std(axis=1, keepdims=True)\n", + " power = (power - baseline_power) / baseline_std\n", + " elif baseline_mode == 'percent':\n", + " power = (power - baseline_power) / baseline_power * 100\n", + " \n", + " return power\n", + "\n", + "\n", + "# Test the functions\n", + "test_signal = np.sin(2 * np.pi * 10 * np.linspace(0, 2, 512))\n", + "test_freqs = np.arange(5, 30, 1)\n", + "test_tfr = compute_wavelet_transform(test_signal, test_freqs, 256)\n", + "test_power = compute_wavelet_power(test_signal, test_freqs, 256)\n", + "\n", + "print(f\"✓ Wavelet transform computed\")\n", + "print(f\" - Signal length: {len(test_signal)} samples\")\n", + "print(f\" - Frequencies: {len(test_freqs)} ({test_freqs[0]}-{test_freqs[-1]} Hz)\")\n", + "print(f\" - TFR shape: {test_tfr.shape} (frequencies × times)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7b5929fa", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 7: Plot time-frequency representation\n", + "\n", + "def plot_time_frequency(\n", + " power: NDArray[np.float64],\n", + " times: NDArray[np.float64],\n", + " frequencies: NDArray[np.float64],\n", + " ax: Optional[plt.Axes] = None,\n", + " cmap: str = 'viridis',\n", + " vmin: Optional[float] = None,\n", + " vmax: Optional[float] = None,\n", + " log_scale: bool = False,\n", + " colorbar: bool = True,\n", + " title: str = ''\n", + ") -> plt.Axes:\n", + " \"\"\"\n", + " Plot a time-frequency power representation.\n", + " \n", + " Parameters\n", + " ----------\n", + " power : ndarray of float64\n", + " Time-frequency power matrix (n_frequencies × n_times).\n", + " times : ndarray of float64\n", + " Time vector in seconds.\n", + " frequencies : ndarray of float64\n", + " Frequency vector in Hz.\n", + " ax : matplotlib Axes, optional\n", + " Axes to plot on. If None, creates new figure.\n", + " cmap : str, optional\n", + " Colormap name. Default is 'viridis'.\n", + " vmin, vmax : float, optional\n", + " Color scale limits.\n", + " log_scale : bool, optional\n", + " If True, apply log10 to power. Default is False.\n", + " colorbar : bool, optional\n", + " If True, add colorbar. Default is True.\n", + " title : str, optional\n", + " Plot title.\n", + " \n", + " Returns\n", + " -------\n", + " ax : matplotlib Axes\n", + " The axes with the plot.\n", + " \"\"\"\n", + " if ax is None:\n", + " fig, ax = plt.subplots(figsize=(10, 5))\n", + " \n", + " # Apply log scale if requested\n", + " plot_power = np.log10(power + 1e-10) if log_scale else power\n", + " \n", + " # Create plot\n", + " im = ax.pcolormesh(times, frequencies, plot_power, \n", + " shading='gouraud', cmap=cmap, \n", + " vmin=vmin, vmax=vmax)\n", + " \n", + " ax.set_xlabel('Time (s)')\n", + " ax.set_ylabel('Frequency (Hz)')\n", + " ax.set_title(title)\n", + " \n", + " if colorbar:\n", + " cbar = plt.colorbar(im, ax=ax)\n", + " cbar.set_label('Power (log10)' if log_scale else 'Power')\n", + " \n", + " return ax\n", + "\n", + "\n", + "# Visualization 9: STFT vs Wavelet comparison\n", + "# Create a signal with multiple frequency bursts\n", + "\n", + "duration = 3.0\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "signal_multi = np.zeros_like(t)\n", + "\n", + "# Add different frequency bursts at different times\n", + "# 8 Hz (alpha) burst at 0.5-1.0s\n", + "mask1 = (t >= 0.5) & (t <= 1.0)\n", + "signal_multi[mask1] += np.sin(2 * np.pi * 8 * t[mask1]) * 2\n", + "\n", + "# 20 Hz (beta) burst at 1.0-1.5s \n", + "mask2 = (t >= 1.0) & (t <= 1.5)\n", + "signal_multi[mask2] += np.sin(2 * np.pi * 20 * t[mask2]) * 1.5\n", + "\n", + "# 35 Hz (gamma) burst at 1.5-2.0s\n", + "mask3 = (t >= 1.5) & (t <= 2.0)\n", + "signal_multi[mask3] += np.sin(2 * np.pi * 35 * t[mask3])\n", + "\n", + "# Add noise\n", + "signal_multi += np.random.randn(len(t)) * 0.2\n", + "\n", + "# Compute STFT\n", + "frequencies_stft = np.arange(1, 50, 0.5)\n", + "f_stft, t_stft, Sxx = spectrogram(signal_multi, fs=fs, nperseg=256, noverlap=192)\n", + "\n", + "# Compute wavelet\n", + "frequencies_wav = np.arange(2, 50, 0.5)\n", + "power_wav = compute_wavelet_power(signal_multi, frequencies_wav, fs, n_cycles=5)\n", + "times_wav = np.arange(len(signal_multi)) / fs\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# Original signal\n", + "axes[0].plot(t, signal_multi, color=PRIMARY_BLUE, linewidth=0.8)\n", + "axes[0].axvspan(0.5, 1.0, alpha=0.2, color=PRIMARY_RED, label='8 Hz')\n", + "axes[0].axvspan(1.0, 1.5, alpha=0.2, color=PRIMARY_GREEN, label='20 Hz')\n", + "axes[0].axvspan(1.5, 2.0, alpha=0.2, color=SECONDARY_PURPLE, label='35 Hz')\n", + "axes[0].set_xlabel('Time (s)')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Signal with Three Frequency Bursts', fontsize=11)\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].set_xlim([0, duration])\n", + "\n", + "# STFT spectrogram\n", + "freq_mask = f_stft <= 50\n", + "im1 = axes[1].pcolormesh(t_stft, f_stft[freq_mask], \n", + " 10 * np.log10(Sxx[freq_mask] + 1e-10),\n", + " shading='gouraud', cmap='viridis')\n", + "axes[1].set_ylabel('Frequency (Hz)')\n", + "axes[1].set_title('STFT Spectrogram (fixed resolution)', fontsize=11)\n", + "plt.colorbar(im1, ax=axes[1], label='Power (dB)')\n", + "\n", + "# Wavelet scalogram\n", + "im2 = axes[2].pcolormesh(times_wav, frequencies_wav, \n", + " 10 * np.log10(power_wav + 1e-10),\n", + " shading='gouraud', cmap='viridis')\n", + "axes[2].set_xlabel('Time (s)')\n", + "axes[2].set_ylabel('Frequency (Hz)')\n", + "axes[2].set_title('Wavelet Scalogram (multi-resolution)', fontsize=11)\n", + "plt.colorbar(im2, ax=axes[2], label='Power (dB)')\n", + "\n", + "for ax in axes[1:]:\n", + " ax.set_xlim([0, duration])\n", + " # Mark true burst times\n", + " for time_start, time_end, freq in [(0.5, 1.0, 8), (1.0, 1.5, 20), (1.5, 2.0, 35)]:\n", + " ax.axhline(y=freq, color='white', linestyle='--', alpha=0.5, linewidth=1)\n", + "\n", + "fig.suptitle('STFT vs Wavelet: Multi-Resolution Advantage', fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"📊 Compare the time-frequency resolution:\")\n", + "print(\" - STFT: Same time resolution at all frequencies\")\n", + "print(\" - Wavelet: Better time resolution at high frequencies, better frequency resolution at low\")" + ] + }, + { + "cell_type": "markdown", + "id": "e34789a8", + "metadata": {}, + "source": [ + "## 9. Adaptive n_cycles: Frequency-Dependent Resolution 🔧\n", + "\n", + "While using a fixed `n_cycles` works, we can optimize by **adapting n_cycles to frequency**:\n", + "\n", + "- **Low frequencies**: Need more cycles for better frequency resolution\n", + "- **High frequencies**: Can use fewer cycles for better time resolution\n", + "\n", + "Common approaches:\n", + "\n", + "1. **Linear scaling**: `n_cycles = freq / 2` (e.g., 5 cycles at 10 Hz, 20 cycles at 40 Hz)\n", + "2. **Logarithmic scaling**: `n_cycles = log(freq) * k`\n", + "3. **Bounded linear**: `n_cycles = max(min_cycles, min(freq / 2, max_cycles))`\n", + "\n", + "The goal is to maintain consistent time-frequency uncertainty across the spectrum." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec08fe9d", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 8: Compute adaptive n_cycles\n", + "\n", + "def compute_adaptive_cycles(\n", + " frequencies: NDArray[np.float64],\n", + " min_cycles: float = 3.0,\n", + " max_cycles: float = 10.0,\n", + " scaling: str = 'linear'\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute frequency-adaptive number of cycles for wavelet analysis.\n", + " \n", + " Parameters\n", + " ----------\n", + " frequencies : ndarray of float64\n", + " Array of frequencies in Hz.\n", + " min_cycles : float, optional\n", + " Minimum number of cycles. Default is 3.0.\n", + " max_cycles : float, optional\n", + " Maximum number of cycles. Default is 10.0.\n", + " scaling : str, optional\n", + " Scaling method: 'linear' or 'log'. Default is 'linear'.\n", + " \n", + " Returns\n", + " -------\n", + " n_cycles : ndarray of float64\n", + " Array of n_cycles values, one per frequency.\n", + " \n", + " Notes\n", + " -----\n", + " Linear scaling: n_cycles = freq / 2, bounded by min/max.\n", + " Log scaling: n_cycles scales with log2(freq).\n", + " \"\"\"\n", + " frequencies = np.asarray(frequencies)\n", + " \n", + " if scaling == 'linear':\n", + " n_cycles = frequencies / 2.0\n", + " elif scaling == 'log':\n", + " n_cycles = np.log2(frequencies) * 2\n", + " else:\n", + " raise ValueError(f\"Unknown scaling: {scaling}\")\n", + " \n", + " # Apply bounds\n", + " n_cycles = np.clip(n_cycles, min_cycles, max_cycles)\n", + " \n", + " return n_cycles\n", + "\n", + "\n", + "# Visualization 10: Fixed vs adaptive n_cycles comparison\n", + "frequencies = np.arange(4, 50, 1)\n", + "n_cycles_fixed = np.full_like(frequencies, 5.0, dtype=float)\n", + "n_cycles_adaptive = compute_adaptive_cycles(frequencies, min_cycles=3, max_cycles=10)\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 8))\n", + "\n", + "# Plot n_cycles strategies\n", + "axes[0, 0].plot(frequencies, n_cycles_fixed, color=PRIMARY_BLUE, \n", + " linewidth=2, label='Fixed (5 cycles)')\n", + "axes[0, 0].plot(frequencies, n_cycles_adaptive, color=PRIMARY_RED, \n", + " linewidth=2, label='Adaptive')\n", + "axes[0, 0].set_xlabel('Frequency (Hz)')\n", + "axes[0, 0].set_ylabel('n_cycles')\n", + "axes[0, 0].set_title('n_cycles Strategies', fontsize=11)\n", + "axes[0, 0].legend()\n", + "axes[0, 0].grid(True, alpha=0.3)\n", + "\n", + "# Time resolution (sigma_t)\n", + "sigma_t_fixed = n_cycles_fixed / (2 * np.pi * frequencies)\n", + "sigma_t_adaptive = n_cycles_adaptive / (2 * np.pi * frequencies)\n", + "\n", + "axes[0, 1].plot(frequencies, sigma_t_fixed * 1000, color=PRIMARY_BLUE, \n", + " linewidth=2, label='Fixed')\n", + "axes[0, 1].plot(frequencies, sigma_t_adaptive * 1000, color=PRIMARY_RED, \n", + " linewidth=2, label='Adaptive')\n", + "axes[0, 1].set_xlabel('Frequency (Hz)')\n", + "axes[0, 1].set_ylabel('Time resolution σ_t (ms)')\n", + "axes[0, 1].set_title('Time Resolution vs Frequency', fontsize=11)\n", + "axes[0, 1].legend()\n", + "axes[0, 1].grid(True, alpha=0.3)\n", + "\n", + "# Compute spectrograms with chirp signal\n", + "duration = 2.0\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "chirp = np.sin(2 * np.pi * (5 * t + (45 - 5) / (2 * duration) * t**2))\n", + "chirp += np.random.randn(len(t)) * 0.1\n", + "\n", + "# Fixed n_cycles\n", + "power_fixed = compute_wavelet_power(chirp, frequencies.astype(float), fs, n_cycles=5.0)\n", + "times = np.arange(len(chirp)) / fs\n", + "\n", + "# Adaptive n_cycles\n", + "power_adaptive = compute_wavelet_power(chirp, frequencies.astype(float), fs, \n", + " n_cycles=n_cycles_adaptive)\n", + "\n", + "# Plot spectrograms\n", + "im1 = axes[1, 0].pcolormesh(times, frequencies, 10 * np.log10(power_fixed + 1e-10),\n", + " shading='gouraud', cmap='viridis')\n", + "axes[1, 0].plot(times, 5 + (45 - 5) / duration * times, color='white', \n", + " linestyle='--', linewidth=2, label='True frequency')\n", + "axes[1, 0].set_xlabel('Time (s)')\n", + "axes[1, 0].set_ylabel('Frequency (Hz)')\n", + "axes[1, 0].set_title('Fixed n_cycles = 5', fontsize=11)\n", + "plt.colorbar(im1, ax=axes[1, 0], label='Power (dB)')\n", + "\n", + "im2 = axes[1, 1].pcolormesh(times, frequencies, 10 * np.log10(power_adaptive + 1e-10),\n", + " shading='gouraud', cmap='viridis')\n", + "axes[1, 1].plot(times, 5 + (45 - 5) / duration * times, color='white', \n", + " linestyle='--', linewidth=2, label='True frequency')\n", + "axes[1, 1].set_xlabel('Time (s)')\n", + "axes[1, 1].set_ylabel('Frequency (Hz)')\n", + "axes[1, 1].set_title('Adaptive n_cycles (3-10)', fontsize=11)\n", + "plt.colorbar(im2, ax=axes[1, 1], label='Power (dB)')\n", + "\n", + "fig.suptitle('Fixed vs Adaptive n_cycles: Effect on Time-Frequency Resolution', \n", + " fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"📊 Adaptive n_cycles provides:\")\n", + "print(\" - Better time precision at high frequencies (shorter wavelets)\")\n", + "print(\" - Better frequency precision at low frequencies (longer wavelets)\")" + ] + }, + { + "cell_type": "markdown", + "id": "2f4e45d2", + "metadata": {}, + "source": [ + "## 10. Extracting Phase from Wavelets 📐\n", + "\n", + "One powerful feature of complex Morlet wavelets: they give us **instantaneous phase** at each frequency!\n", + "\n", + "From the wavelet transform result $W(t, f)$:\n", + "\n", + "$$\\text{Phase}(t, f) = \\arctan\\left(\\frac{\\text{Im}(W)}{\\text{Re}(W)}\\right) = \\angle W(t, f)$$\n", + "\n", + "This is exactly what we need for **phase-based connectivity metrics** like PLV!\n", + "\n", + "### Wavelet Phase vs Hilbert Phase\n", + "\n", + "Both methods extract phase, but:\n", + "\n", + "| Hilbert Transform | Wavelet Transform |\n", + "|-------------------|-------------------|\n", + "| Single frequency band | Multiple frequencies at once |\n", + "| Requires pre-filtering | No pre-filtering needed |\n", + "| Fixed time resolution | Adaptive time resolution |\n", + "| Faster for single band | Better for time-frequency |" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1536a1a8", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 9: Compute wavelet phase\n", + "\n", + "def compute_wavelet_phase(\n", + " signal: NDArray[np.float64],\n", + " frequencies: NDArray[np.float64],\n", + " fs: float,\n", + " n_cycles: Union[float, NDArray[np.float64]] = 5.0\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute instantaneous phase at multiple frequencies using wavelets.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : ndarray of float64\n", + " Input signal (1D array).\n", + " frequencies : ndarray of float64\n", + " Array of frequencies to analyze (in Hz).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " n_cycles : float or ndarray, optional\n", + " Number of cycles for the wavelets. Default is 5.0.\n", + " \n", + " Returns\n", + " -------\n", + " phase : ndarray of float64\n", + " Phase values in radians, shape (n_frequencies, n_times).\n", + " Values are in [-π, π].\n", + " \"\"\"\n", + " tfr = compute_wavelet_transform(signal, frequencies, fs, n_cycles)\n", + " return np.angle(tfr)\n", + "\n", + "\n", + "# Visualization 11: Wavelet phase extraction\n", + "\n", + "# Create a 10 Hz sine wave\n", + "duration = 1.0\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "signal_10hz = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Extract phase using wavelet at 10 Hz\n", + "freqs_phase = np.array([10.0])\n", + "wavelet_phase = compute_wavelet_phase(signal_10hz, freqs_phase, fs, n_cycles=5)\n", + "wavelet_phase_10hz = wavelet_phase[0, :] # Take the 10 Hz row\n", + "\n", + "# For comparison: Hilbert phase (from previous notebooks)\n", + "from scipy.signal import hilbert\n", + "analytic = hilbert(signal_10hz)\n", + "hilbert_phase = np.angle(analytic)\n", + "\n", + "# True phase\n", + "true_phase = np.mod(2 * np.pi * 10 * t, 2 * np.pi)\n", + "true_phase[true_phase > np.pi] -= 2 * np.pi\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 7), sharex=True)\n", + "\n", + "# Signal\n", + "axes[0].plot(t, signal_10hz, color=PRIMARY_BLUE, linewidth=2)\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Original 10 Hz Sine Wave', fontsize=11)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Phase comparison\n", + "axes[1].plot(t, true_phase, color='gray', linewidth=2, label='True phase', alpha=0.7)\n", + "axes[1].plot(t, wavelet_phase_10hz, color=PRIMARY_RED, linewidth=2, \n", + " linestyle='--', label='Wavelet phase')\n", + "axes[1].plot(t, hilbert_phase, color=PRIMARY_GREEN, linewidth=2, \n", + " linestyle=':', label='Hilbert phase')\n", + "axes[1].set_ylabel('Phase (rad)')\n", + "axes[1].set_title('Phase Comparison: Wavelet vs Hilbert', fontsize=11)\n", + "axes[1].set_yticks([-np.pi, -np.pi/2, 0, np.pi/2, np.pi])\n", + "axes[1].set_yticklabels(['-π', '-π/2', '0', 'π/2', 'π'])\n", + "axes[1].legend(loc='upper right')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Phase difference (wavelet - hilbert)\n", + "phase_diff = np.angle(np.exp(1j * (wavelet_phase_10hz - hilbert_phase)))\n", + "axes[2].plot(t, phase_diff, color=SECONDARY_PURPLE, linewidth=2)\n", + "axes[2].axhline(y=0, color='gray', linestyle='--', alpha=0.5)\n", + "axes[2].set_xlabel('Time (s)')\n", + "axes[2].set_ylabel('Δ Phase (rad)')\n", + "axes[2].set_title('Phase Difference (Wavelet - Hilbert)', fontsize=11)\n", + "axes[2].set_ylim([-0.5, 0.5])\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle('Wavelet Phase Extraction vs Hilbert Transform', fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"📐 Both methods give nearly identical phase for narrowband signals!\")\n", + "print(\" The small differences are due to edge effects and method differences.\")" + ] + }, + { + "cell_type": "markdown", + "id": "b09e7f36", + "metadata": {}, + "source": [ + "## 11. Edge Effects: The Wavelet Challenge ⚠️\n", + "\n", + "Wavelet analysis has a significant **edge effect problem**:\n", + "\n", + "- Wavelets extend beyond signal boundaries at the start and end\n", + "- The wavelet \"sees\" zeros (or other padding) instead of real data\n", + "- This creates **artifacts** in the first and last portions of the result\n", + "\n", + "### How Many Samples Are Affected?\n", + "\n", + "The edge effect extends approximately:\n", + "$$N_{edge} = \\frac{n_{cycles} \\cdot f_s}{f}$$\n", + "\n", + "Where:\n", + "- $n_{cycles}$ = number of wavelet cycles\n", + "- $f_s$ = sampling frequency\n", + "- $f$ = frequency of interest\n", + "\n", + "**Lower frequencies = longer wavelets = more edge effects!**\n", + "\n", + "### Solutions\n", + "\n", + "1. **Exclude edges**: Remove affected samples from analysis\n", + "2. **Mirror padding**: Reflect signal at boundaries\n", + "3. **Collect extra data**: Record beyond your analysis window" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "25b35c5c", + "metadata": {}, + "outputs": [], + "source": [ + "# Function 10: Compute edge samples\n", + "\n", + "def compute_edge_samples(\n", + " frequency: float,\n", + " fs: float,\n", + " n_cycles: float = 5.0,\n", + " n_sigma: float = 3.0\n", + ") -> int:\n", + " \"\"\"\n", + " Compute the number of samples affected by edge effects.\n", + " \n", + " Parameters\n", + " ----------\n", + " frequency : float\n", + " Frequency of the wavelet in Hz.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " n_cycles : float, optional\n", + " Number of cycles in the wavelet. Default is 5.0.\n", + " n_sigma : float, optional\n", + " Number of sigma (standard deviations) to consider. Default is 3.0.\n", + " \n", + " Returns\n", + " -------\n", + " n_edge : int\n", + " Number of samples affected by edge effects on each side.\n", + " \n", + " Notes\n", + " -----\n", + " The wavelet extends n_sigma * sigma_t on each side, where\n", + " sigma_t = n_cycles / (2 * pi * frequency).\n", + " \"\"\"\n", + " sigma_t = n_cycles / (2 * np.pi * frequency)\n", + " edge_duration = n_sigma * sigma_t\n", + " n_edge = int(np.ceil(edge_duration * fs))\n", + " return n_edge\n", + "\n", + "\n", + "# Visualization 12: Edge effects demonstration\n", + "\n", + "# Create a clean signal\n", + "duration = 2.0\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "clean_signal = np.sin(2 * np.pi * 10 * t) # 10 Hz throughout\n", + "\n", + "# Compute wavelet power at different frequencies\n", + "frequencies = np.array([5, 10, 20, 40])\n", + "n_cycles = 5.0\n", + "\n", + "fig, axes = plt.subplots(len(frequencies) + 1, 1, figsize=(12, 10), sharex=True)\n", + "\n", + "# Original signal\n", + "axes[0].plot(t, clean_signal, color=PRIMARY_BLUE, linewidth=1)\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Original Signal (constant 10 Hz)', fontsize=11)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Power at each frequency\n", + "for idx, freq in enumerate(frequencies):\n", + " # Compute power\n", + " power = compute_wavelet_power(clean_signal, np.array([freq]), fs, n_cycles=n_cycles)\n", + " power_1d = power[0, :]\n", + " \n", + " # Compute edge samples\n", + " n_edge = compute_edge_samples(freq, fs, n_cycles=n_cycles)\n", + " edge_time = n_edge / fs\n", + " \n", + " ax = axes[idx + 1]\n", + " ax.plot(t, power_1d, color=PRIMARY_GREEN, linewidth=1.5)\n", + " \n", + " # Shade edge regions\n", + " ax.axvspan(0, edge_time, alpha=0.3, color=PRIMARY_RED, label='Edge effects')\n", + " ax.axvspan(duration - edge_time, duration, alpha=0.3, color=PRIMARY_RED)\n", + " \n", + " # Mark valid region\n", + " ax.axvline(x=edge_time, color=PRIMARY_RED, linestyle='--', alpha=0.7)\n", + " ax.axvline(x=duration - edge_time, color=PRIMARY_RED, linestyle='--', alpha=0.7)\n", + " \n", + " ax.set_ylabel('Power')\n", + " ax.set_title(f'{freq} Hz wavelet: {n_edge} edge samples ({edge_time*1000:.0f} ms) per side', \n", + " fontsize=10)\n", + " ax.grid(True, alpha=0.3)\n", + " \n", + " if idx == 0:\n", + " ax.legend(loc='upper right')\n", + "\n", + "axes[-1].set_xlabel('Time (s)')\n", + "\n", + "fig.suptitle('Edge Effects: Lower Frequencies Are More Affected', fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print edge samples for common EEG bands\n", + "print(\"📊 Edge samples for common EEG frequency bands (n_cycles=5):\")\n", + "print(\" (with 3σ criterion)\")\n", + "bands = {'Delta (2 Hz)': 2, 'Theta (6 Hz)': 6, 'Alpha (10 Hz)': 10, \n", + " 'Beta (20 Hz)': 20, 'Gamma (40 Hz)': 40}\n", + "for band, freq in bands.items():\n", + " n_edge = compute_edge_samples(freq, fs, n_cycles=5)\n", + " print(f\" {band}: {n_edge} samples ({n_edge/fs*1000:.0f} ms)\")" + ] + }, + { + "cell_type": "markdown", + "id": "5224a5d4", + "metadata": {}, + "source": [ + "## 12. Application: Event-Related Time-Frequency Analysis 🧠\n", + "\n", + "In EEG research, we often analyze brain responses to **events** (stimuli, actions, etc.).\n", + "\n", + "Time-frequency analysis reveals:\n", + "- **Event-Related Synchronization (ERS)**: Power increase at specific frequencies\n", + "- **Event-Related Desynchronization (ERD)**: Power decrease\n", + "\n", + "This is far more informative than simple time-domain averaging (ERPs)!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b0d80d3d", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 13: Simulated event-related time-frequency\n", + "\n", + "# Simulate an EEG epoch around an event at t=0\n", + "np.random.seed(42)\n", + "\n", + "epoch_duration = 2.0 # -1s to +1s around event\n", + "t_epoch = np.linspace(-1, 1, int(fs * epoch_duration), endpoint=False)\n", + "n_samples = len(t_epoch)\n", + "\n", + "# Create simulated EEG with event-related modulation\n", + "eeg_epoch = np.zeros(n_samples)\n", + "\n", + "# Background oscillations (always present)\n", + "eeg_epoch += 0.5 * np.sin(2 * np.pi * 10 * t_epoch) # Alpha\n", + "eeg_epoch += 0.3 * np.sin(2 * np.pi * 6 * t_epoch) # Theta\n", + "\n", + "# Event-related modulations:\n", + "# 1. Alpha suppression (ERD) after event (0-0.5s)\n", + "alpha_suppression = np.zeros_like(t_epoch)\n", + "mask_erd = (t_epoch >= 0) & (t_epoch <= 0.5)\n", + "alpha_suppression[mask_erd] = -0.7 * np.sin(2 * np.pi * 10 * t_epoch[mask_erd])\n", + "eeg_epoch += alpha_suppression\n", + "\n", + "# 2. Gamma burst (ERS) after event (0.1-0.3s)\n", + "gamma_burst = np.zeros_like(t_epoch)\n", + "mask_gamma = (t_epoch >= 0.1) & (t_epoch <= 0.3)\n", + "gamma_envelope = np.exp(-((t_epoch - 0.2)**2) / (2 * 0.05**2))\n", + "gamma_burst = gamma_envelope * np.sin(2 * np.pi * 40 * t_epoch)\n", + "eeg_epoch += gamma_burst\n", + "\n", + "# Add pink noise\n", + "noise = np.random.randn(n_samples) * 0.3\n", + "eeg_epoch += noise\n", + "\n", + "# Compute time-frequency representation\n", + "frequencies = np.arange(4, 50, 0.5)\n", + "n_cycles_adaptive = compute_adaptive_cycles(frequencies, min_cycles=3, max_cycles=8)\n", + "power = compute_wavelet_power(eeg_epoch, frequencies, fs, n_cycles=n_cycles_adaptive)\n", + "\n", + "# Baseline normalize\n", + "baseline_mask = (t_epoch >= -0.5) & (t_epoch <= -0.1)\n", + "baseline_power = power[:, baseline_mask].mean(axis=1, keepdims=True)\n", + "power_normalized = (power - baseline_power) / baseline_power * 100 # Percent change\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8))\n", + "\n", + "# EEG signal\n", + "axes[0].plot(t_epoch, eeg_epoch, color=PRIMARY_BLUE, linewidth=0.8)\n", + "axes[0].axvline(x=0, color=PRIMARY_RED, linestyle='--', linewidth=2, label='Event')\n", + "axes[0].axvspan(-0.5, -0.1, alpha=0.2, color='gray', label='Baseline')\n", + "axes[0].set_ylabel('Amplitude (µV)')\n", + "axes[0].set_title('Simulated EEG Epoch', fontsize=11)\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Raw power\n", + "im1 = axes[1].pcolormesh(t_epoch, frequencies, 10 * np.log10(power + 1e-10),\n", + " shading='gouraud', cmap='viridis')\n", + "axes[1].axvline(x=0, color='white', linestyle='--', linewidth=2)\n", + "axes[1].set_ylabel('Frequency (Hz)')\n", + "axes[1].set_title('Time-Frequency Power (raw)', fontsize=11)\n", + "plt.colorbar(im1, ax=axes[1], label='Power (dB)')\n", + "\n", + "# Baseline-normalized power\n", + "im2 = axes[2].pcolormesh(t_epoch, frequencies, power_normalized,\n", + " shading='gouraud', cmap='RdBu_r', vmin=-100, vmax=100)\n", + "axes[2].axvline(x=0, color='black', linestyle='--', linewidth=2)\n", + "axes[2].set_xlabel('Time (s)')\n", + "axes[2].set_ylabel('Frequency (Hz)')\n", + "axes[2].set_title('Event-Related Power Change (% from baseline)', fontsize=11)\n", + "cbar = plt.colorbar(im2, ax=axes[2], label='% change')\n", + "\n", + "# Annotate\n", + "axes[2].annotate('Gamma ERS', xy=(0.2, 40), fontsize=10, color='white',\n", + " ha='center', va='center', fontweight='bold')\n", + "axes[2].annotate('Alpha ERD', xy=(0.25, 10), fontsize=10, color='white',\n", + " ha='center', va='center', fontweight='bold')\n", + "\n", + "fig.suptitle('Event-Related Time-Frequency Analysis', fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"🧠 This analysis reveals:\")\n", + "print(\" - Alpha ERD (blue): Suppression of 10 Hz after event\")\n", + "print(\" - Gamma ERS (red): Burst of 40 Hz during processing\")" + ] + }, + { + "cell_type": "markdown", + "id": "4b93d4e5", + "metadata": {}, + "source": [ + "## 13. Preview: Wavelets for Hyperscanning Connectivity 👥\n", + "\n", + "In hyperscanning, wavelets enable powerful **time-resolved connectivity analysis**:\n", + "\n", + "1. **Time-resolved PLV**: Track phase synchronization over time\n", + "2. **Time-frequency coherence**: Coherence at each time-frequency point\n", + "3. **Cross-frequency coupling**: Phase-amplitude relationships\n", + "\n", + "This is a preview of what we'll explore in depth in Module G!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "293569c4", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 14: Time-resolved inter-brain synchronization preview\n", + "\n", + "# Simulate two participants' EEG with varying synchronization\n", + "np.random.seed(42)\n", + "\n", + "duration = 4.0\n", + "t = np.linspace(0, duration, int(fs * duration), endpoint=False)\n", + "\n", + "# Participant 1: Base oscillation at 10 Hz\n", + "phase1 = 2 * np.pi * 10 * t\n", + "eeg1 = np.sin(phase1)\n", + "\n", + "# Participant 2: Initially desynchronized, becomes synchronized during task\n", + "# Desync (0-1s): random phase offset\n", + "# Transition (1-2s): gradually synchronizing\n", + "# Sync (2-4s): same phase as P1\n", + "\n", + "phase_offset = np.zeros_like(t)\n", + "phase_offset[t < 1] = np.pi # Opposite phase\n", + "phase_offset[(t >= 1) & (t < 2)] = np.pi * (1 - (t[(t >= 1) & (t < 2)] - 1)) # Gradual sync\n", + "# After t=2, offset is 0 (synchronized)\n", + "\n", + "phase2 = phase1 + phase_offset\n", + "eeg2 = np.sin(phase2)\n", + "\n", + "# Add noise\n", + "eeg1 += np.random.randn(len(t)) * 0.2\n", + "eeg2 += np.random.randn(len(t)) * 0.2\n", + "\n", + "# Extract phase using wavelets\n", + "freq_target = np.array([10.0])\n", + "phase1_wav = compute_wavelet_phase(eeg1, freq_target, fs, n_cycles=5)[0, :]\n", + "phase2_wav = compute_wavelet_phase(eeg2, freq_target, fs, n_cycles=5)[0, :]\n", + "\n", + "# Compute instantaneous phase difference\n", + "phase_diff = np.angle(np.exp(1j * (phase1_wav - phase2_wav)))\n", + "\n", + "# Compute time-resolved PLV (sliding window)\n", + "window_size = int(0.5 * fs) # 500 ms window\n", + "step_size = int(0.05 * fs) # 50 ms step\n", + "\n", + "plv_times = []\n", + "plv_values = []\n", + "\n", + "for start in range(0, len(t) - window_size, step_size):\n", + " end = start + window_size\n", + " window_diff = phase_diff[start:end]\n", + " \n", + " # PLV = magnitude of mean phase difference vector\n", + " plv = np.abs(np.mean(np.exp(1j * window_diff)))\n", + " \n", + " center_time = t[start + window_size // 2]\n", + " plv_times.append(center_time)\n", + " plv_values.append(plv)\n", + "\n", + "plv_times = np.array(plv_times)\n", + "plv_values = np.array(plv_values)\n", + "\n", + "fig, axes = plt.subplots(4, 1, figsize=(12, 10), sharex=True)\n", + "\n", + "# EEG signals\n", + "axes[0].plot(t, eeg1, color=PRIMARY_BLUE, linewidth=0.8, label='Person 1')\n", + "axes[0].plot(t, eeg2, color=PRIMARY_RED, linewidth=0.8, alpha=0.7, label='Person 2')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Simulated EEG from Two Participants', fontsize=11)\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Mark periods\n", + "for ax in axes:\n", + " ax.axvspan(0, 1, alpha=0.1, color=PRIMARY_RED, label='Desync' if ax == axes[0] else None)\n", + " ax.axvspan(1, 2, alpha=0.1, color=SECONDARY_ORANGE, label='Transition' if ax == axes[0] else None)\n", + " ax.axvspan(2, 4, alpha=0.1, color=PRIMARY_GREEN, label='Sync' if ax == axes[0] else None)\n", + "\n", + "# Phase of each participant\n", + "axes[1].plot(t, phase1_wav, color=PRIMARY_BLUE, linewidth=1, label='P1 phase')\n", + "axes[1].plot(t, phase2_wav, color=PRIMARY_RED, linewidth=1, alpha=0.7, label='P2 phase')\n", + "axes[1].set_ylabel('Phase (rad)')\n", + "axes[1].set_title('Wavelet-Extracted Phase at 10 Hz', fontsize=11)\n", + "axes[1].set_yticks([-np.pi, 0, np.pi])\n", + "axes[1].set_yticklabels(['-π', '0', 'π'])\n", + "axes[1].legend(loc='upper right')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Phase difference\n", + "axes[2].plot(t, phase_diff, color=SECONDARY_PURPLE, linewidth=0.8)\n", + "axes[2].axhline(y=0, color='gray', linestyle='--', alpha=0.5)\n", + "axes[2].set_ylabel('Phase diff (rad)')\n", + "axes[2].set_title('Phase Difference (P1 - P2)', fontsize=11)\n", + "axes[2].set_yticks([-np.pi, 0, np.pi])\n", + "axes[2].set_yticklabels(['-π', '0', 'π'])\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "# Time-resolved PLV\n", + "axes[3].plot(plv_times, plv_values, color=PRIMARY_GREEN, linewidth=2)\n", + "axes[3].fill_between(plv_times, 0, plv_values, alpha=0.3, color=PRIMARY_GREEN)\n", + "axes[3].axhline(y=0.5, color='gray', linestyle='--', alpha=0.5)\n", + "axes[3].set_xlabel('Time (s)')\n", + "axes[3].set_ylabel('PLV')\n", + "axes[3].set_title('Time-Resolved Phase Locking Value', fontsize=11)\n", + "axes[3].set_ylim([0, 1])\n", + "axes[3].grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle('Wavelets Enable Time-Resolved Inter-Brain Synchronization Analysis', \n", + " fontsize=13, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"👥 This preview shows how wavelets enable:\")\n", + "print(\" - Real-time tracking of inter-brain synchronization\")\n", + "print(\" - Precise timing of when participants synchronize\")\n", + "print(\" - Foundation for hyperscanning connectivity metrics!\")" + ] + }, + { + "cell_type": "markdown", + "id": "0a1a0d58", + "metadata": {}, + "source": [ + "## 14. Exercises 📝\n", + "\n", + "Now it's your turn to practice! Complete the following exercises to solidify your understanding." + ] + }, + { + "cell_type": "markdown", + "id": "0272ca5b", + "metadata": {}, + "source": [ + "### Exercise 1: STFT Parameter Exploration 🔍\n", + "\n", + "Create a signal with a 15 Hz component and analyze it with three different STFT window sizes.\n", + "Compare the spectrograms and explain the trade-offs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "896379ea", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: STFT parameter exploration\n", + "# TODO: Create a 2-second signal with 15 Hz oscillation that appears only in second half\n", + "# TODO: Compute STFT with nperseg = 64, 256, 512\n", + "# TODO: Plot the three spectrograms and compare\n", + "\n", + "# Your code here:\n", + "# ---------------\n", + "\n", + "# Create signal\n", + "duration_ex1 = 2.0\n", + "t_ex1 = np.linspace(0, duration_ex1, int(fs * duration_ex1), endpoint=False)\n", + "\n", + "# 15 Hz appears only from t=1.0 to t=2.0\n", + "signal_ex1 = np.zeros_like(t_ex1)\n", + "mask_ex1 = t_ex1 >= 1.0\n", + "signal_ex1[mask_ex1] = np.sin(2 * np.pi * 15 * t_ex1[mask_ex1])\n", + "signal_ex1 += np.random.randn(len(t_ex1)) * 0.1\n", + "\n", + "# TODO: Compute and plot spectrograms..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9fa82376", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution Exercise 1\n", + "\n", + "window_sizes_ex1 = [64, 256, 512]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "for idx, nperseg in enumerate(window_sizes_ex1):\n", + " f_ex1, t_ex1_spec, Sxx_ex1 = spectrogram(signal_ex1, fs=fs, nperseg=nperseg, noverlap=nperseg//2)\n", + " \n", + " freq_mask_ex1 = f_ex1 <= 40\n", + " \n", + " ax = axes[idx]\n", + " im = ax.pcolormesh(t_ex1_spec, f_ex1[freq_mask_ex1], \n", + " 10 * np.log10(Sxx_ex1[freq_mask_ex1] + 1e-10),\n", + " shading='gouraud', cmap='viridis')\n", + " \n", + " ax.axhline(y=15, color='white', linestyle='--', alpha=0.7)\n", + " ax.axvline(x=1.0, color='white', linestyle=':', alpha=0.7)\n", + " \n", + " time_res = nperseg / fs\n", + " freq_res = fs / nperseg\n", + " ax.set_title(f'nperseg={nperseg}\\nΔt={time_res*1000:.0f}ms, Δf={freq_res:.1f}Hz', fontsize=10)\n", + " ax.set_xlabel('Time (s)')\n", + " if idx == 0:\n", + " ax.set_ylabel('Frequency (Hz)')\n", + "\n", + "fig.suptitle('Exercise 1: STFT Window Size Comparison', fontsize=12, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✅ Exercise 1 Solution:\")\n", + "print(\" - Small window (64): Good time resolution, blurry frequency (Δf=4Hz)\")\n", + "print(\" - Medium window (256): Balanced (Δf=1Hz)\")\n", + "print(\" - Large window (512): Sharp frequency, poor time resolution\")" + ] + }, + { + "cell_type": "markdown", + "id": "8720d6db", + "metadata": {}, + "source": [ + "### Exercise 2: Create Your Own Morlet Wavelet 🌊\n", + "\n", + "Write code to create a Morlet wavelet at 20 Hz with 7 cycles.\n", + "Visualize its real part, imaginary part, and envelope.\n", + "Calculate its duration and frequency resolution." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4d89fcb", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Create Morlet wavelet\n", + "# TODO: Use create_morlet_wavelet() to create a 20 Hz wavelet with 7 cycles\n", + "# TODO: Plot real, imaginary, and envelope\n", + "# TODO: Calculate sigma_t and estimate frequency resolution\n", + "\n", + "# Your code here:\n", + "# ---------------\n", + "\n", + "freq_ex2 = 20 # Hz\n", + "n_cycles_ex2 = 7\n", + "\n", + "# TODO: Create wavelet and plot..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "02e104fb", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution Exercise 2\n", + "\n", + "wavelet_ex2, time_ex2 = create_morlet_wavelet(freq_ex2, fs, n_cycles=n_cycles_ex2, return_time=True)\n", + "\n", + "# Calculate parameters\n", + "sigma_t_ex2 = n_cycles_ex2 / (2 * np.pi * freq_ex2)\n", + "sigma_f_ex2 = 1 / (2 * np.pi * sigma_t_ex2) # Frequency resolution\n", + "fwhm_f_ex2 = 2.355 * sigma_f_ex2 # Full width at half maximum\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "# Real part\n", + "axes[0].plot(time_ex2, np.real(wavelet_ex2), color=PRIMARY_BLUE, linewidth=2)\n", + "axes[0].fill_between(time_ex2, 0, np.real(wavelet_ex2), alpha=0.3, color=PRIMARY_BLUE)\n", + "axes[0].set_title('Real Part (Cosine)', fontsize=11)\n", + "axes[0].set_xlabel('Time (s)')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Imaginary part\n", + "axes[1].plot(time_ex2, np.imag(wavelet_ex2), color=PRIMARY_RED, linewidth=2)\n", + "axes[1].fill_between(time_ex2, 0, np.imag(wavelet_ex2), alpha=0.3, color=PRIMARY_RED)\n", + "axes[1].set_title('Imaginary Part (Sine)', fontsize=11)\n", + "axes[1].set_xlabel('Time (s)')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Envelope\n", + "axes[2].plot(time_ex2, np.abs(wavelet_ex2), color=PRIMARY_GREEN, linewidth=2)\n", + "axes[2].fill_between(time_ex2, 0, np.abs(wavelet_ex2), alpha=0.3, color=PRIMARY_GREEN)\n", + "axes[2].axvline(x=-sigma_t_ex2, color='gray', linestyle='--', alpha=0.7)\n", + "axes[2].axvline(x=sigma_t_ex2, color='gray', linestyle='--', alpha=0.7, label=f'±σ_t')\n", + "axes[2].set_title('Envelope (Gaussian)', fontsize=11)\n", + "axes[2].set_xlabel('Time (s)')\n", + "axes[2].legend()\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle(f'Exercise 2: Morlet Wavelet at {freq_ex2} Hz, {n_cycles_ex2} cycles', \n", + " fontsize=12, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"✅ Exercise 2 Solution:\")\n", + "print(f\" - Wavelet duration: {time_ex2[-1] - time_ex2[0]:.3f} s\")\n", + "print(f\" - Temporal resolution (σ_t): {sigma_t_ex2*1000:.1f} ms\")\n", + "print(f\" - Frequency resolution (σ_f): {sigma_f_ex2:.2f} Hz\")\n", + "print(f\" - FWHM in frequency: {fwhm_f_ex2:.2f} Hz\")" + ] + }, + { + "cell_type": "markdown", + "id": "72df6fe5", + "metadata": {}, + "source": [ + "### Exercise 3: Compare Wavelet vs Hilbert Phase 📐\n", + "\n", + "Create a 10 Hz sine wave with a phase jump at the midpoint.\n", + "Extract phase using both wavelet transform and Hilbert transform.\n", + "Compare how each method handles the phase discontinuity." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1481b91e", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 3: Wavelet vs Hilbert phase comparison\n", + "# TODO: Create a 10 Hz signal with a π/2 phase jump at t=0.5\n", + "# TODO: Extract phase using wavelet (at 10 Hz)\n", + "# TODO: Extract phase using Hilbert\n", + "# TODO: Plot and compare\n", + "\n", + "# Your code here:\n", + "# ---------------\n", + "\n", + "duration_ex3 = 1.0\n", + "t_ex3 = np.linspace(0, duration_ex3, int(fs * duration_ex3), endpoint=False)\n", + "\n", + "# Signal with phase jump\n", + "phase_ex3 = 2 * np.pi * 10 * t_ex3\n", + "phase_ex3[t_ex3 >= 0.5] += np.pi / 2 # Add π/2 phase jump at midpoint\n", + "signal_ex3 = np.sin(phase_ex3)\n", + "\n", + "# TODO: Extract phases and compare..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "13c05e13", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution Exercise 3\n", + "\n", + "# Extract phases\n", + "wavelet_phase_ex3 = compute_wavelet_phase(signal_ex3, np.array([10.0]), fs, n_cycles=5)[0, :]\n", + "hilbert_phase_ex3 = np.angle(hilbert(signal_ex3))\n", + "\n", + "# True phase (wrapped to [-π, π])\n", + "true_phase_ex3 = np.mod(phase_ex3 + np.pi, 2 * np.pi) - np.pi\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 7), sharex=True)\n", + "\n", + "# Signal\n", + "axes[0].plot(t_ex3, signal_ex3, color=PRIMARY_BLUE, linewidth=1.5)\n", + "axes[0].axvline(x=0.5, color=PRIMARY_RED, linestyle='--', linewidth=2, label='Phase jump')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Signal with π/2 Phase Jump at t=0.5s', fontsize=11)\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Phase comparison\n", + "axes[1].plot(t_ex3, true_phase_ex3, color='gray', linewidth=2, alpha=0.5, label='True phase')\n", + "axes[1].plot(t_ex3, wavelet_phase_ex3, color=PRIMARY_RED, linewidth=1.5, \n", + " linestyle='--', label='Wavelet')\n", + "axes[1].plot(t_ex3, hilbert_phase_ex3, color=PRIMARY_GREEN, linewidth=1.5, \n", + " linestyle=':', label='Hilbert')\n", + "axes[1].axvline(x=0.5, color='gray', linestyle='--', alpha=0.5)\n", + "axes[1].set_ylabel('Phase (rad)')\n", + "axes[1].set_title('Phase Extraction Comparison', fontsize=11)\n", + "axes[1].set_yticks([-np.pi, -np.pi/2, 0, np.pi/2, np.pi])\n", + "axes[1].set_yticklabels(['-π', '-π/2', '0', 'π/2', 'π'])\n", + "axes[1].legend(loc='upper right')\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Zoom around phase jump\n", + "axes[2].plot(t_ex3, wavelet_phase_ex3, color=PRIMARY_RED, linewidth=2, label='Wavelet')\n", + "axes[2].plot(t_ex3, hilbert_phase_ex3, color=PRIMARY_GREEN, linewidth=2, \n", + " linestyle='--', label='Hilbert')\n", + "axes[2].axvline(x=0.5, color='gray', linestyle='--', alpha=0.5)\n", + "axes[2].set_xlim([0.4, 0.6])\n", + "axes[2].set_xlabel('Time (s)')\n", + "axes[2].set_ylabel('Phase (rad)')\n", + "axes[2].set_title('Zoom: Phase Around Jump', fontsize=11)\n", + "axes[2].legend(loc='upper right')\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle('Exercise 3: Wavelet vs Hilbert Phase at Discontinuity', \n", + " fontsize=12, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✅ Exercise 3 Solution:\")\n", + "print(\" - Both methods track the phase jump correctly\")\n", + "print(\" - Hilbert is slightly faster at detecting the jump (no temporal smoothing)\")\n", + "print(\" - Wavelet response is smoother due to the finite wavelet duration\")" + ] + }, + { + "cell_type": "markdown", + "id": "e63ac688", + "metadata": {}, + "source": [ + "### Exercise 4: Edge Effects Analysis ⚠️\n", + "\n", + "Analyze how many samples should be excluded at the edges for:\n", + "- 4 Hz (delta) wavelet\n", + "- 10 Hz (alpha) wavelet \n", + "- 30 Hz (beta) wavelet\n", + "\n", + "All with n_cycles=5. Visualize the \"valid\" region for each." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "11640bbf", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 4: Edge effects analysis\n", + "# TODO: Calculate edge samples for 4, 10, and 30 Hz wavelets\n", + "# TODO: Visualize the valid region for a 2-second signal\n", + "\n", + "# Your code here:\n", + "# ---------------\n", + "\n", + "frequencies_ex4 = [4, 10, 30]\n", + "n_cycles_ex4 = 5\n", + "duration_ex4 = 2.0\n", + "\n", + "# TODO: Use compute_edge_samples() and visualize..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ee3c2c2a", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution Exercise 4\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 4))\n", + "\n", + "n_samples_ex4 = int(fs * duration_ex4)\n", + "colors_ex4 = [PRIMARY_BLUE, PRIMARY_GREEN, PRIMARY_RED]\n", + "\n", + "for idx, (freq, color) in enumerate(zip(frequencies_ex4, colors_ex4)):\n", + " n_edge = compute_edge_samples(freq, fs, n_cycles=n_cycles_ex4)\n", + " edge_time = n_edge / fs\n", + " \n", + " # Draw bar showing valid region\n", + " y_pos = idx\n", + " ax.barh(y_pos, duration_ex4, height=0.6, color='lightgray', alpha=0.5)\n", + " ax.barh(y_pos, duration_ex4 - 2 * edge_time, left=edge_time, \n", + " height=0.6, color=color, alpha=0.7, label=f'{freq} Hz: {edge_time*1000:.0f} ms edges')\n", + " \n", + " # Mark edge regions\n", + " ax.axvline(x=edge_time, color=color, linestyle='--', alpha=0.7)\n", + " ax.axvline(x=duration_ex4 - edge_time, color=color, linestyle='--', alpha=0.7)\n", + " \n", + " # Annotate\n", + " valid_duration = duration_ex4 - 2 * edge_time\n", + " ax.text(duration_ex4 / 2, y_pos, f'Valid: {valid_duration:.2f}s ({valid_duration/duration_ex4*100:.1f}%)',\n", + " ha='center', va='center', fontsize=10, fontweight='bold')\n", + "\n", + "ax.set_yticks([0, 1, 2])\n", + "ax.set_yticklabels([f'{f} Hz' for f in frequencies_ex4])\n", + "ax.set_xlabel('Time (s)')\n", + "ax.set_title(f'Valid Analysis Region for 2s Signal (n_cycles={n_cycles_ex4})', fontsize=12, fontweight='bold')\n", + "ax.legend(loc='upper right')\n", + "ax.set_xlim([0, duration_ex4])\n", + "ax.grid(True, alpha=0.3, axis='x')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✅ Exercise 4 Solution:\")\n", + "for freq in frequencies_ex4:\n", + " n_edge = compute_edge_samples(freq, fs, n_cycles=n_cycles_ex4)\n", + " edge_time = n_edge / fs\n", + " valid_time = duration_ex4 - 2 * edge_time\n", + " print(f\" {freq:2d} Hz: {n_edge:3d} edge samples ({edge_time*1000:.0f}ms), \"\n", + " f\"valid region: {valid_time:.2f}s ({valid_time/duration_ex4*100:.1f}%)\")" + ] + }, + { + "cell_type": "markdown", + "id": "13f1e3b2", + "metadata": {}, + "source": [ + "### Exercise 5: Event-Related Power Analysis 🧠\n", + "\n", + "Create a simulated EEG with:\n", + "- Continuous 10 Hz (alpha) oscillation\n", + "- Beta (25 Hz) burst appearing 200-400 ms after a simulated event\n", + "\n", + "Compute the time-frequency representation and identify the event-related modulations." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "20ea3894", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 5: Event-related power analysis\n", + "# TODO: Create epoch from -0.5s to 1s (event at t=0)\n", + "# TODO: Add continuous alpha (10 Hz)\n", + "# TODO: Add beta burst (25 Hz) from 0.2-0.4s\n", + "# TODO: Compute time-frequency power and baseline-normalize\n", + "\n", + "# Your code here:\n", + "# ---------------\n", + "\n", + "np.random.seed(123)\n", + "t_ex5 = np.linspace(-0.5, 1.0, int(fs * 1.5), endpoint=False)\n", + "\n", + "# TODO: Build signal and analyze..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6cc118ce", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution Exercise 5\n", + "\n", + "# Create signal\n", + "eeg_ex5 = np.zeros_like(t_ex5)\n", + "\n", + "# Continuous alpha (10 Hz)\n", + "eeg_ex5 += 1.0 * np.sin(2 * np.pi * 10 * t_ex5)\n", + "\n", + "# Beta burst (25 Hz) from 0.2 to 0.4s\n", + "beta_envelope_ex5 = np.exp(-((t_ex5 - 0.3)**2) / (2 * 0.05**2)) # Gaussian at 0.3s\n", + "eeg_ex5 += 0.8 * beta_envelope_ex5 * np.sin(2 * np.pi * 25 * t_ex5)\n", + "\n", + "# Add noise\n", + "eeg_ex5 += np.random.randn(len(t_ex5)) * 0.3\n", + "\n", + "# Compute time-frequency power\n", + "freqs_ex5 = np.arange(5, 40, 0.5)\n", + "power_ex5 = compute_wavelet_power(eeg_ex5, freqs_ex5, fs, \n", + " n_cycles=compute_adaptive_cycles(freqs_ex5, 3, 7))\n", + "\n", + "# Baseline normalize\n", + "baseline_mask_ex5 = (t_ex5 >= -0.4) & (t_ex5 <= -0.1)\n", + "baseline_power_ex5 = power_ex5[:, baseline_mask_ex5].mean(axis=1, keepdims=True)\n", + "power_norm_ex5 = (power_ex5 - baseline_power_ex5) / baseline_power_ex5 * 100\n", + "\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 6))\n", + "\n", + "# Signal\n", + "axes[0].plot(t_ex5, eeg_ex5, color=PRIMARY_BLUE, linewidth=0.8)\n", + "axes[0].axvline(x=0, color=PRIMARY_RED, linestyle='--', linewidth=2, label='Event')\n", + "axes[0].axvspan(-0.4, -0.1, alpha=0.2, color='gray', label='Baseline')\n", + "axes[0].axvspan(0.2, 0.4, alpha=0.2, color=SECONDARY_ORANGE, label='Beta burst')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Simulated EEG Epoch', fontsize=11)\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Time-frequency\n", + "im = axes[1].pcolormesh(t_ex5, freqs_ex5, power_norm_ex5,\n", + " shading='gouraud', cmap='RdBu_r', vmin=-100, vmax=100)\n", + "axes[1].axvline(x=0, color='black', linestyle='--', linewidth=2)\n", + "axes[1].axhline(y=10, color='white', linestyle=':', alpha=0.5)\n", + "axes[1].axhline(y=25, color='white', linestyle=':', alpha=0.5)\n", + "axes[1].set_xlabel('Time (s)')\n", + "axes[1].set_ylabel('Frequency (Hz)')\n", + "axes[1].set_title('Event-Related Power Change (% from baseline)', fontsize=11)\n", + "plt.colorbar(im, ax=axes[1], label='% change')\n", + "\n", + "# Annotate\n", + "axes[1].annotate('Beta ERS', xy=(0.3, 25), fontsize=10, color='white',\n", + " ha='center', va='center', fontweight='bold',\n", + " bbox=dict(boxstyle='round', facecolor='black', alpha=0.5))\n", + "\n", + "fig.suptitle('Exercise 5: Event-Related Time-Frequency Analysis', fontsize=12, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✅ Exercise 5 Solution:\")\n", + "print(\" - Continuous alpha visible throughout (10 Hz band)\")\n", + "print(\" - Beta ERS clearly visible at 25 Hz, 200-400 ms post-event\")" + ] + }, + { + "cell_type": "markdown", + "id": "9a75662b", + "metadata": {}, + "source": [ + "### Exercise 6: Time-Resolved PLV Calculation 👥\n", + "\n", + "Create two simulated EEG signals that start desynchronized and become synchronized.\n", + "Use wavelet-based phase extraction to compute time-resolved PLV.\n", + "Identify the moment when synchronization emerges." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6ab7ce1e", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 6: Time-resolved PLV\n", + "# TODO: Create two 10 Hz signals\n", + "# TODO: Signal 2 has random phase offset for first 2s, then synchronized\n", + "# TODO: Extract phases with wavelets\n", + "# TODO: Compute time-resolved PLV with 500ms sliding window\n", + "\n", + "# Your code here:\n", + "# ---------------\n", + "\n", + "np.random.seed(42)\n", + "duration_ex6 = 4.0\n", + "t_ex6 = np.linspace(0, duration_ex6, int(fs * duration_ex6), endpoint=False)\n", + "\n", + "# TODO: Create signals and compute PLV..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dfa82cd8", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution Exercise 6\n", + "\n", + "# Create two signals\n", + "freq_ex6 = 10 # Hz\n", + "\n", + "# Signal 1: Clean 10 Hz\n", + "eeg1_ex6 = np.sin(2 * np.pi * freq_ex6 * t_ex6) + np.random.randn(len(t_ex6)) * 0.2\n", + "\n", + "# Signal 2: Random phase offset first 2s, then synchronized\n", + "phase_offset_ex6 = np.zeros_like(t_ex6)\n", + "# Random walk phase offset for first 2s\n", + "random_phase = np.cumsum(np.random.randn(sum(t_ex6 < 2)) * 0.1)\n", + "random_phase = random_phase - random_phase.mean() # Center around 0\n", + "phase_offset_ex6[t_ex6 < 2] = random_phase\n", + "\n", + "eeg2_ex6 = np.sin(2 * np.pi * freq_ex6 * t_ex6 + phase_offset_ex6) + np.random.randn(len(t_ex6)) * 0.2\n", + "\n", + "# Extract phases using wavelet\n", + "phase1_ex6 = compute_wavelet_phase(eeg1_ex6, np.array([freq_ex6]), fs, n_cycles=5)[0, :]\n", + "phase2_ex6 = compute_wavelet_phase(eeg2_ex6, np.array([freq_ex6]), fs, n_cycles=5)[0, :]\n", + "\n", + "# Compute phase difference\n", + "phase_diff_ex6 = np.angle(np.exp(1j * (phase1_ex6 - phase2_ex6)))\n", + "\n", + "# Compute time-resolved PLV\n", + "window_size_ex6 = int(0.5 * fs) # 500 ms\n", + "step_size_ex6 = int(0.05 * fs) # 50 ms\n", + "\n", + "plv_times_ex6 = []\n", + "plv_values_ex6 = []\n", + "\n", + "for start in range(0, len(t_ex6) - window_size_ex6, step_size_ex6):\n", + " end = start + window_size_ex6\n", + " window_diff = phase_diff_ex6[start:end]\n", + " \n", + " # PLV\n", + " plv = np.abs(np.mean(np.exp(1j * window_diff)))\n", + " \n", + " center_time = t_ex6[start + window_size_ex6 // 2]\n", + " plv_times_ex6.append(center_time)\n", + " plv_values_ex6.append(plv)\n", + "\n", + "plv_times_ex6 = np.array(plv_times_ex6)\n", + "plv_values_ex6 = np.array(plv_values_ex6)\n", + "\n", + "# Find synchronization threshold crossing\n", + "sync_threshold = 0.7\n", + "sync_onset_idx = np.where(plv_values_ex6 > sync_threshold)[0]\n", + "if len(sync_onset_idx) > 0:\n", + " sync_onset_time = plv_times_ex6[sync_onset_idx[0]]\n", + "else:\n", + " sync_onset_time = None\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8), sharex=True)\n", + "\n", + "# Signals\n", + "axes[0].plot(t_ex6, eeg1_ex6, color=PRIMARY_BLUE, linewidth=0.8, label='Person 1')\n", + "axes[0].plot(t_ex6, eeg2_ex6 - 3, color=PRIMARY_RED, linewidth=0.8, label='Person 2 (offset)')\n", + "axes[0].axvline(x=2.0, color='gray', linestyle='--', alpha=0.7, label='Sync start')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Two Simulated EEG Signals', fontsize=11)\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Phase difference\n", + "axes[1].plot(t_ex6, phase_diff_ex6, color=SECONDARY_PURPLE, linewidth=0.8)\n", + "axes[1].axvline(x=2.0, color='gray', linestyle='--', alpha=0.7)\n", + "axes[1].axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "axes[1].set_ylabel('Phase diff (rad)')\n", + "axes[1].set_title('Phase Difference (Wavelet-Extracted)', fontsize=11)\n", + "axes[1].set_yticks([-np.pi, 0, np.pi])\n", + "axes[1].set_yticklabels(['-π', '0', 'π'])\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# PLV\n", + "axes[2].plot(plv_times_ex6, plv_values_ex6, color=PRIMARY_GREEN, linewidth=2)\n", + "axes[2].fill_between(plv_times_ex6, 0, plv_values_ex6, alpha=0.3, color=PRIMARY_GREEN)\n", + "axes[2].axhline(y=sync_threshold, color=SECONDARY_ORANGE, linestyle='--', \n", + " label=f'Threshold ({sync_threshold})')\n", + "axes[2].axvline(x=2.0, color='gray', linestyle='--', alpha=0.7)\n", + "if sync_onset_time:\n", + " axes[2].axvline(x=sync_onset_time, color=PRIMARY_RED, linestyle='-', linewidth=2,\n", + " label=f'Sync detected: {sync_onset_time:.2f}s')\n", + "axes[2].set_xlabel('Time (s)')\n", + "axes[2].set_ylabel('PLV')\n", + "axes[2].set_title('Time-Resolved Phase Locking Value', fontsize=11)\n", + "axes[2].set_ylim([0, 1])\n", + "axes[2].legend(loc='upper left')\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "fig.suptitle('Exercise 6: Time-Resolved PLV Analysis', fontsize=12, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✅ Exercise 6 Solution:\")\n", + "print(f\" - Synchronization ground truth: t = 2.0 s\")\n", + "if sync_onset_time:\n", + " print(f\" - Synchronization detected (PLV > {sync_threshold}): t = {sync_onset_time:.2f} s\")\n", + "print(\" - PLV clearly distinguishes desynchronized vs synchronized periods!\")" + ] + }, + { + "cell_type": "markdown", + "id": "9e08e034", + "metadata": {}, + "source": [ + "## 15. Summary 📋\n", + "\n", + "### What We Learned\n", + "\n", + "In this notebook, we explored **wavelets and time-frequency analysis**, essential tools for understanding dynamic brain activity:\n", + "\n", + "1. **Limitations of FFT**: Standard Fourier analysis assumes stationarity and cannot localize events in time\n", + "\n", + "2. **Short-Time Fourier Transform (STFT)**: \n", + " - Slides a window along the signal\n", + " - Trade-off: fixed time-frequency resolution\n", + " - Heisenberg-Gabor uncertainty: Δt × Δf ≥ 1/(4π)\n", + "\n", + "3. **Wavelets**: \n", + " - Compact oscillations localized in time\n", + " - **Multi-resolution**: short wavelets for high frequencies, long for low\n", + " - Ideal for non-stationary EEG signals\n", + "\n", + "4. **Complex Morlet Wavelet**:\n", + " - Gaussian-enveloped complex sinusoid\n", + " - n_cycles parameter controls time-frequency trade-off\n", + " - Provides both power (|W|²) and phase (∠W)\n", + "\n", + "5. **Wavelet Convolution**:\n", + " - Efficient via FFT (convolution theorem)\n", + " - Output at each time-frequency point is complex\n", + "\n", + "6. **Adaptive n_cycles**: Scale with frequency for consistent resolution\n", + "\n", + "7. **Edge Effects**: Lower frequencies lose more samples at boundaries\n", + "\n", + "8. **Applications**:\n", + " - Event-related power (ERS/ERD)\n", + " - Time-resolved connectivity (PLV)\n", + " - Foundation for hyperscanning analysis\n", + "\n", + "### Key Equations\n", + "\n", + "| Concept | Equation |\n", + "|---------|----------|\n", + "| Morlet wavelet | $\\psi(t, f) = A e^{-t^2/(2\\sigma_t^2)} e^{i2\\pi ft}$ |\n", + "| Temporal std | $\\sigma_t = n_{cycles}/(2\\pi f)$ |\n", + "| Edge samples | $N_{edge} = n_\\sigma \\cdot \\sigma_t \\cdot f_s$ |\n", + "| Wavelet power | $P(t, f) = |W(t, f)|^2$ |\n", + "| Wavelet phase | $\\phi(t, f) = \\angle W(t, f)$ |\n", + "\n", + "### Key Functions Implemented\n", + "\n", + "| Function | Purpose |\n", + "|----------|---------|\n", + "| `compute_stft()` | Short-Time Fourier Transform |\n", + "| `compute_spectrogram()` | STFT power spectrogram |\n", + "| `create_morlet_wavelet()` | Generate complex Morlet wavelet |\n", + "| `wavelet_convolution()` | FFT-based wavelet convolution |\n", + "| `compute_wavelet_transform()` | Full TFR at multiple frequencies |\n", + "| `compute_wavelet_power()` | Time-frequency power with baseline |\n", + "| `plot_time_frequency()` | Visualize TFR |\n", + "| `compute_adaptive_cycles()` | Frequency-dependent n_cycles |\n", + "| `compute_wavelet_phase()` | Extract phase at each frequency |\n", + "| `compute_edge_samples()` | Calculate affected edge samples |" + ] + }, + { + "cell_type": "markdown", + "id": "df79bcf2", + "metadata": {}, + "source": [ + "## 16. Discussion Questions 💬\n", + "\n", + "1. **Resolution Trade-offs**: Why is the Heisenberg-Gabor uncertainty principle particularly problematic for EEG analysis? How do wavelets help mitigate this issue?\n", + "\n", + "2. **Choosing n_cycles**: A researcher wants to analyze fast gamma oscillations (40-80 Hz) for precise event timing. Should they use high or low n_cycles? What about for slow theta rhythms (4-8 Hz)?\n", + "\n", + "3. **STFT vs Wavelets**: When might STFT be preferred over wavelet analysis? Consider computational cost, interpretability, and the nature of the signal.\n", + "\n", + "4. **Edge Effects in Practice**: You have 30-second EEG epochs and want to analyze theta (6 Hz) oscillations with 5 cycles. How much valid data do you have? What strategies could increase usable data?\n", + "\n", + "5. **Phase vs Power**: A hyperscanning study finds increased inter-brain PLV but no change in power. What does this tell us about the neural interaction?\n", + "\n", + "6. **Baseline Normalization**: Why is baseline normalization important for event-related time-frequency analysis? When might you NOT want to use it?\n", + "\n", + "7. **Computational Considerations**: For a 64-channel EEG with 1-hour recording, estimate the memory needed for wavelet transform from 1-100 Hz (1 Hz resolution). What optimization strategies could help?\n", + "\n", + "---\n", + "\n", + "### Looking Ahead 🔮\n", + "\n", + "This notebook completes Module B on Phase and Amplitude! You now have the tools to:\n", + "- Extract power at any time-frequency point\n", + "- Track phase dynamics across frequencies\n", + "- Analyze event-related modulations\n", + "\n", + "**Next up in Module C**: We'll tackle connectivity concepts including volume conduction, connectivity matrices, and statistical significance testing.\n", + "\n", + "**In Module F-G**: We'll apply wavelets to compute time-resolved hyperscanning metrics like coherence and PLV!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/C_connectivity_concepts/C01_volume_conduction.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/C_connectivity_concepts/C01_volume_conduction.ipynb new file mode 100644 index 0000000..5395846 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/C_connectivity_concepts/C01_volume_conduction.ipynb @@ -0,0 +1,2313 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "21549a9a", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# IMPORTS AND SETUP\n", + "# ============================================================================\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Tuple, Optional, Union\n", + "\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.patches import Circle, FancyArrowPatch, Ellipse\n", + "from matplotlib.collections import LineCollection\n", + "import scipy.signal\n", + "from scipy.signal import hilbert, correlate\n", + "from scipy.stats import circmean, circstd\n", + "\n", + "# Add src to path for local imports\n", + "sys.path.insert(0, str(Path.cwd().parents[2]))\n", + "\n", + "from src.colors import COLORS\n", + "from src.phase import compute_phase_difference, compute_plv_simple\n", + "\n", + "# Color aliases\n", + "PRIMARY_BLUE = COLORS[\"signal_1\"] # Sky Blue\n", + "PRIMARY_RED = COLORS[\"signal_2\"] # Rose Pink\n", + "PRIMARY_GREEN = COLORS[\"signal_3\"] # Sage Green\n", + "SECONDARY_ORANGE = COLORS[\"signal_4\"] # Golden\n", + "SECONDARY_PURPLE = COLORS[\"high_sync\"] # Purple\n", + "SUBJECT_1 = COLORS[\"signal_1\"] # For hyperscanning\n", + "SUBJECT_2 = COLORS[\"signal_2\"] # For hyperscanning\n", + "\n", + "# Sampling frequency\n", + "fs = 256 # Hz\n", + "\n", + "# Random seed for reproducibility\n", + "np.random.seed(42)\n", + "\n", + "print(\"✓ Imports successful!\")\n", + "print(f\"NumPy version: {np.__version__}\")" + ] + }, + { + "cell_type": "markdown", + "id": "1c0c9e5c", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 1. Introduction — The Elephant in the Room 🐘\n", + "\n", + "Before we learn **any** connectivity metric, we must confront the central problem of EEG connectivity analysis: **volume conduction**.\n", + "\n", + "EEG measures electrical activity at the scalp surface. But between the neurons generating this activity and our electrodes lie multiple layers of tissue: brain matter, cerebrospinal fluid (CSF), skull, and scalp. All these tissues conduct electricity.\n", + "\n", + "**The fundamental problem**: A single electrical source in the brain doesn't stay localized — its electrical field spreads through the conductive tissues and reaches **multiple electrodes simultaneously**. This means:\n", + "\n", + "- If two electrodes both \"see\" the same brain source...\n", + "- Their signals will be correlated...\n", + "- They will appear to be \"connected\"...\n", + "- **But this is NOT real neural connectivity!**\n", + "\n", + "This artifact — called **spurious connectivity** — is the single biggest threat to the validity of EEG connectivity studies. Papers have been published, conclusions drawn, and theories built on connectivity patterns that were largely or entirely due to volume conduction.\n", + "\n", + "> ⚠️ **Critical Warning**: If you don't understand volume conduction, your connectivity results may be **meaningless**.\n", + "\n", + "This problem is even MORE critical in hyperscanning research, where we want to distinguish true inter-brain coupling from artifacts. The good news: we have solutions. But first, let's deeply understand the problem." + ] + }, + { + "cell_type": "markdown", + "id": "c4929e95", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 2. What is Volume Conduction?\n", + "\n", + "### The Physics (Simplified)\n", + "\n", + "Brain activity consists of electrical currents flowing through neurons. These currents create **electrical fields** that extend into the surrounding tissue. The key properties:\n", + "\n", + "1. **Tissues are conductive**: Brain, CSF, skull, and scalp all conduct electricity (like a network of resistors)\n", + "2. **Fields spread spatially**: A single source creates a field that extends in all directions\n", + "3. **Multiple electrodes detect each source**: The field reaches many points on the scalp\n", + "4. **Signal at each electrode is a mixture**: Every electrode picks up contributions from MANY brain sources\n", + "\n", + "### An Analogy\n", + "\n", + "Imagine listening to an orchestra from **outside** the concert hall:\n", + "- All instruments are mixed together\n", + "- You can't isolate the violin from the cello\n", + "- The sound at different positions outside is similar (same sources, slight variations)\n", + "\n", + "This is exactly what happens with EEG: we're \"listening\" from outside the skull, and all brain sources are mixed together at each electrode.\n", + "\n", + "### Technical Term\n", + "\n", + "This phenomenon is called **field spread** or **volume conduction** because the electrical fields are conducted through the volume of tissue between sources and sensors." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b1062018", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 1: Field Spread from Source to Electrodes\n", + "# ============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "\n", + "# Draw head outline (simplified as ellipse)\n", + "head = Ellipse((0.5, 0.4), 0.8, 0.7, fill=False, edgecolor='black', linewidth=2)\n", + "ax.add_patch(head)\n", + "\n", + "# Draw brain region (inner ellipse)\n", + "brain = Ellipse((0.5, 0.35), 0.6, 0.45, fill=True, facecolor='#FFE4E1', \n", + " edgecolor='gray', linewidth=1, alpha=0.5)\n", + "ax.add_patch(brain)\n", + "\n", + "# Source location (single dipole in brain)\n", + "source_x, source_y = 0.5, 0.35\n", + "ax.plot(source_x, source_y, 'o', markersize=15, color=PRIMARY_RED, \n", + " markeredgecolor='darkred', markeredgewidth=2, zorder=10)\n", + "ax.annotate('Brain Source', (source_x, source_y - 0.08), ha='center', \n", + " fontsize=11, fontweight='bold', color='darkred')\n", + "\n", + "# Draw concentric circles representing field spread\n", + "for radius, alpha in [(0.1, 0.4), (0.2, 0.3), (0.3, 0.2), (0.4, 0.1)]:\n", + " circle = Circle((source_x, source_y), radius, fill=False, \n", + " edgecolor=PRIMARY_RED, linewidth=1.5, alpha=alpha, linestyle='--')\n", + " ax.add_patch(circle)\n", + "\n", + "# Electrode positions on scalp\n", + "electrode_positions = [\n", + " (0.2, 0.65, 'E1'),\n", + " (0.5, 0.75, 'E2'),\n", + " (0.8, 0.65, 'E3'),\n", + " (0.35, 0.55, 'E4'),\n", + " (0.65, 0.55, 'E5'),\n", + "]\n", + "\n", + "# Draw electrodes and lines from source\n", + "for ex, ey, label in electrode_positions:\n", + " # Line from source to electrode (showing field reaching electrode)\n", + " distance = np.sqrt((ex - source_x)**2 + (ey - source_y)**2)\n", + " line_alpha = max(0.2, 1 - distance * 2) # Closer = stronger\n", + " ax.plot([source_x, ex], [source_y, ey], '-', color=PRIMARY_RED, \n", + " alpha=line_alpha, linewidth=2)\n", + " \n", + " # Electrode marker\n", + " ax.plot(ex, ey, 's', markersize=12, color=PRIMARY_BLUE, \n", + " markeredgecolor='darkblue', markeredgewidth=2, zorder=10)\n", + " ax.annotate(label, (ex, ey + 0.05), ha='center', fontsize=10, fontweight='bold')\n", + "\n", + "# Annotations\n", + "ax.annotate('Electrical field\\nspreads through tissue', (0.85, 0.35), \n", + " fontsize=10, ha='left', style='italic',\n", + " bbox=dict(boxstyle='round', facecolor='lightyellow', alpha=0.8))\n", + "\n", + "ax.annotate('All electrodes\\ndetect the SAME source!', (0.1, 0.2), \n", + " fontsize=11, ha='left', fontweight='bold', color='red',\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor='red'))\n", + "\n", + "ax.set_xlim(-0.1, 1.1)\n", + "ax.set_ylim(0, 0.9)\n", + "ax.set_aspect('equal')\n", + "ax.axis('off')\n", + "ax.set_title('Volume Conduction: One Source → Multiple Electrodes', \n", + " fontsize=14, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"📡 A single brain source contributes to signals at ALL nearby electrodes.\")\n", + "print(\" The closer the electrode, the stronger the contribution.\")" + ] + }, + { + "cell_type": "markdown", + "id": "829b61be", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 3. The Problem for Connectivity\n", + "\n", + "Now let's see why volume conduction is devastating for connectivity analysis.\n", + "\n", + "### The Scenario\n", + "\n", + "Imagine a **single** oscillating source in the brain (say, a 10 Hz alpha rhythm). Two nearby electrodes, A and B, both pick up this source:\n", + "\n", + "- Signal at A = 0.8 × source + noise\n", + "- Signal at B = 0.5 × source + noise\n", + "\n", + "### What Happens When We Measure Connectivity?\n", + "\n", + "- **Correlation**: Very high! (Both signals contain the same source)\n", + "- **Phase synchronization (PLV)**: Nearly perfect! (Same oscillation = same phase)\n", + "- **Coherence**: Very high! (Same frequency content, locked phase)\n", + "\n", + "### The Problem\n", + "\n", + "We would conclude: \"Strong connectivity between regions A and B!\"\n", + "\n", + "**But this is WRONG.** There is no connection between brain regions. There's just ONE source appearing at TWO electrodes. This is called **spurious connectivity** or **artificial coupling**." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "288af53d", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 2: Volume Conduction Simulation\n", + "# ============================================================================\n", + "\n", + "# Create a single source: 10 Hz oscillation\n", + "duration = 2.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Source signal (alpha rhythm)\n", + "source = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Two electrodes receive weighted versions of the source + noise\n", + "noise_level = 0.15\n", + "electrode_A = 0.8 * source + noise_level * np.random.randn(n_samples)\n", + "electrode_B = 0.5 * source + noise_level * np.random.randn(n_samples)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 7), sharex=True)\n", + "\n", + "# Source\n", + "axes[0].plot(t, source, color=PRIMARY_RED, linewidth=2)\n", + "axes[0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0].set_title('Brain Source (10 Hz oscillation)', fontsize=12, fontweight='bold')\n", + "axes[0].set_ylim([-1.5, 1.5])\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Electrode A\n", + "axes[1].plot(t, electrode_A, color=PRIMARY_BLUE, linewidth=1.5)\n", + "axes[1].set_ylabel('Amplitude', fontsize=11)\n", + "axes[1].set_title('Electrode A (0.8 × source + noise)', fontsize=12, fontweight='bold')\n", + "axes[1].set_ylim([-1.5, 1.5])\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Electrode B\n", + "axes[2].plot(t, electrode_B, color=PRIMARY_GREEN, linewidth=1.5)\n", + "axes[2].set_ylabel('Amplitude', fontsize=11)\n", + "axes[2].set_xlabel('Time (s)', fontsize=11)\n", + "axes[2].set_title('Electrode B (0.5 × source + noise)', fontsize=12, fontweight='bold')\n", + "axes[2].set_ylim([-1.5, 1.5])\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "# Highlight that they're in phase\n", + "for ax in axes[1:]:\n", + " ax.axvline(x=0.5, color='gray', linestyle='--', alpha=0.5)\n", + " ax.axvline(x=1.0, color='gray', linestyle='--', alpha=0.5)\n", + "\n", + "fig.suptitle('Volume Conduction: Same Source at Different Electrodes', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"👁️ Notice: Both electrode signals oscillate IN PHASE!\")\n", + "print(\" They rise and fall together because they see the SAME source.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "384ab7e3", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 3: Spurious Connectivity Metrics\n", + "# ============================================================================\n", + "\n", + "# Compute correlation\n", + "correlation = np.corrcoef(electrode_A, electrode_B)[0, 1]\n", + "\n", + "# Compute PLV (Phase Locking Value)\n", + "# Extract phases using Hilbert transform\n", + "phase_A = np.angle(hilbert(electrode_A))\n", + "phase_B = np.angle(hilbert(electrode_B))\n", + "phase_diff = phase_A - phase_B\n", + "plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(10, 5))\n", + "\n", + "metrics = ['Correlation', 'PLV']\n", + "values = [correlation, plv]\n", + "colors_bars = [PRIMARY_BLUE, SECONDARY_PURPLE]\n", + "\n", + "for ax, metric, value, color in zip(axes, metrics, values, colors_bars):\n", + " bars = ax.bar([metric], [value], color=color, edgecolor='black', linewidth=2)\n", + " ax.set_ylim([0, 1.1])\n", + " ax.axhline(y=1.0, color='gray', linestyle='--', alpha=0.5)\n", + " ax.set_ylabel('Value', fontsize=12)\n", + " ax.set_title(f'{metric} = {value:.3f}', fontsize=14, fontweight='bold')\n", + " \n", + " # Warning annotation\n", + " ax.annotate('SPURIOUS!', (0, value + 0.05), ha='center', fontsize=12, \n", + " fontweight='bold', color='red')\n", + "\n", + "fig.suptitle('⚠️ THIS IS NOT REAL CONNECTIVITY! ⚠️', \n", + " fontsize=16, fontweight='bold', color='red', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"📊 Results:\")\n", + "print(f\" Correlation: {correlation:.3f} (very high!)\")\n", + "print(f\" PLV: {plv:.3f} (near perfect synchronization!)\")\n", + "print(\"\\n🚨 These high values are ARTIFACTS of volume conduction, not real connectivity!\")" + ] + }, + { + "cell_type": "markdown", + "id": "aa678794", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 4. The Zero-Lag Signature 🎯\n", + "\n", + "Here's a crucial insight: **volume conduction is nearly instantaneous**.\n", + "\n", + "Electrical fields propagate at close to the speed of light. For the distances involved in EEG (centimeters), the propagation time is essentially zero — far below what we can measure with typical sampling rates.\n", + "\n", + "### The Diagnostic\n", + "\n", + "This gives us a powerful diagnostic:\n", + "\n", + "- **Volume conduction** → signals are correlated with **ZERO time delay**\n", + "- **True neural connectivity** → signals have a **non-zero time delay**\n", + "\n", + "Why? Real neural communication involves:\n", + "- Axonal conduction: ~1-10 m/s (much slower than light!)\n", + "- Synaptic delays: ~0.5-2 ms per synapse\n", + "- Processing time in neural circuits\n", + "\n", + "These add up to measurable delays (milliseconds to tens of milliseconds).\n", + "\n", + "### Phase Perspective\n", + "\n", + "In terms of phase:\n", + "- **Volume conduction**: phase difference ≈ 0 (or π for inverted polarity)\n", + "- **True connectivity**: phase difference ≈ some non-zero value\n", + "\n", + "> 💡 **Key insight**: If the phase difference between two signals is ALWAYS near 0 or π, be very suspicious — it's probably volume conduction!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "faac2932", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 1: Simulate Volume Conduction\n", + "# ============================================================================\n", + "\n", + "def simulate_volume_conduction(\n", + " source_signal: NDArray[np.float64],\n", + " weights: list[float],\n", + " noise_level: float = 0.1,\n", + " seed: Optional[int] = None\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Simulate volume conduction: each electrode receives weighted source + noise.\n", + " \n", + " Parameters\n", + " ----------\n", + " source_signal : ndarray of float64\n", + " The underlying brain source signal (1D array).\n", + " weights : list of float\n", + " Mixing weights for each electrode (one per electrode).\n", + " noise_level : float, optional\n", + " Standard deviation of Gaussian noise. Default is 0.1.\n", + " seed : int, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " electrode_signals : ndarray of float64\n", + " Simulated electrode signals, shape (n_electrodes, n_samples).\n", + " \n", + " Notes\n", + " -----\n", + " This simulates the simplest case of volume conduction: a single source\n", + " appears at multiple electrodes with different amplitudes but ZERO phase lag.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " n_electrodes = len(weights)\n", + " n_samples = len(source_signal)\n", + " \n", + " electrode_signals = np.zeros((n_electrodes, n_samples))\n", + " \n", + " for i, weight in enumerate(weights):\n", + " electrode_signals[i] = weight * source_signal + noise_level * np.random.randn(n_samples)\n", + " \n", + " return electrode_signals\n", + "\n", + "\n", + "# ============================================================================\n", + "# FUNCTION 2: Compute Cross-Correlation\n", + "# ============================================================================\n", + "\n", + "def compute_cross_correlation(\n", + " signal1: NDArray[np.float64],\n", + " signal2: NDArray[np.float64],\n", + " max_lag_samples: Optional[int] = None\n", + ") -> Tuple[NDArray[np.int64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute cross-correlation function to identify time lag of maximum correlation.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal1 : ndarray of float64\n", + " First signal (1D array).\n", + " signal2 : ndarray of float64\n", + " Second signal (1D array).\n", + " max_lag_samples : int, optional\n", + " Maximum lag to consider (in samples). If None, uses len(signal)//4.\n", + " \n", + " Returns\n", + " -------\n", + " lags : ndarray of int64\n", + " Lag values in samples.\n", + " correlation : ndarray of float64\n", + " Normalized cross-correlation values.\n", + " \n", + " Notes\n", + " -----\n", + " Positive lag means signal2 leads signal1.\n", + " The peak location indicates the time delay between signals.\n", + " \"\"\"\n", + " n = len(signal1)\n", + " \n", + " if max_lag_samples is None:\n", + " max_lag_samples = n // 4\n", + " \n", + " # Normalize signals\n", + " s1 = (signal1 - np.mean(signal1)) / np.std(signal1)\n", + " s2 = (signal2 - np.mean(signal2)) / np.std(signal2)\n", + " \n", + " # Full cross-correlation\n", + " xcorr = correlate(s1, s2, mode='full') / n\n", + " \n", + " # Extract relevant portion\n", + " mid = len(xcorr) // 2\n", + " start = mid - max_lag_samples\n", + " end = mid + max_lag_samples + 1\n", + " \n", + " lags = np.arange(-max_lag_samples, max_lag_samples + 1)\n", + " correlation = xcorr[start:end]\n", + " \n", + " return lags, correlation\n", + "\n", + "\n", + "# Test the functions\n", + "print(\"✓ Functions defined: simulate_volume_conduction, compute_cross_correlation\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "19805043", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 4: Cross-Correlation Shows Zero-Lag\n", + "# ============================================================================\n", + "\n", + "# Compute cross-correlation between electrode A and B\n", + "lags, xcorr = compute_cross_correlation(electrode_A, electrode_B)\n", + "lag_ms = lags / fs * 1000 # Convert to milliseconds\n", + "\n", + "# Find peak\n", + "peak_idx = np.argmax(xcorr)\n", + "peak_lag_ms = lag_ms[peak_idx]\n", + "peak_value = xcorr[peak_idx]\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "\n", + "ax.plot(lag_ms, xcorr, color=PRIMARY_BLUE, linewidth=2)\n", + "ax.axvline(x=0, color='gray', linestyle='--', alpha=0.5, label='Zero lag')\n", + "ax.axvline(x=peak_lag_ms, color=PRIMARY_RED, linestyle='-', linewidth=2, \n", + " label=f'Peak at {peak_lag_ms:.1f} ms')\n", + "\n", + "# Mark the peak\n", + "ax.plot(peak_lag_ms, peak_value, 'o', markersize=12, color=PRIMARY_RED, \n", + " markeredgecolor='darkred', markeredgewidth=2, zorder=10)\n", + "\n", + "ax.set_xlabel('Lag (ms)', fontsize=12)\n", + "ax.set_ylabel('Cross-Correlation', fontsize=12)\n", + "ax.set_title('Cross-Correlation: Peak at Zero Lag = Volume Conduction Signature', \n", + " fontsize=13, fontweight='bold')\n", + "ax.legend(loc='upper right')\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# Annotation\n", + "ax.annotate(f'Peak at {peak_lag_ms:.1f} ms\\n(effectively zero!)', \n", + " xy=(peak_lag_ms, peak_value), xytext=(50, peak_value - 0.1),\n", + " fontsize=11, ha='left',\n", + " arrowprops=dict(arrowstyle='->', color='red'),\n", + " bbox=dict(boxstyle='round', facecolor='lightyellow'))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"📊 Cross-correlation peak at lag = {peak_lag_ms:.2f} ms\")\n", + "print(\" This is effectively ZERO — the hallmark of volume conduction!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "438f7ccc", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 5: Phase Difference Distribution\n", + "# ============================================================================\n", + "\n", + "# Phase difference from earlier (already computed)\n", + "# Wrap to [-π, π]\n", + "phase_diff_wrapped = np.angle(np.exp(1j * phase_diff))\n", + "\n", + "# Create histogram\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Histogram\n", + "axes[0].hist(phase_diff_wrapped, bins=50, color=SECONDARY_PURPLE, \n", + " edgecolor='black', alpha=0.7, density=True)\n", + "axes[0].axvline(x=0, color='red', linestyle='--', linewidth=2, label='Zero phase diff')\n", + "axes[0].axvline(x=np.pi, color='orange', linestyle='--', linewidth=2, alpha=0.7)\n", + "axes[0].axvline(x=-np.pi, color='orange', linestyle='--', linewidth=2, alpha=0.7, \n", + " label='±π (polarity inversion)')\n", + "axes[0].set_xlabel('Phase Difference (radians)', fontsize=12)\n", + "axes[0].set_ylabel('Density', fontsize=12)\n", + "axes[0].set_title('Phase Difference Distribution', fontsize=12, fontweight='bold')\n", + "axes[0].set_xticks([-np.pi, -np.pi/2, 0, np.pi/2, np.pi])\n", + "axes[0].set_xticklabels(['-π', '-π/2', '0', 'π/2', 'π'])\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Polar histogram\n", + "ax_polar = fig.add_subplot(122, projection='polar')\n", + "bins_polar = np.linspace(-np.pi, np.pi, 37)\n", + "hist, bin_edges = np.histogram(phase_diff_wrapped, bins=bins_polar, density=True)\n", + "bin_centers = (bin_edges[:-1] + bin_edges[1:]) / 2\n", + "width = bin_edges[1] - bin_edges[0]\n", + "\n", + "bars = ax_polar.bar(bin_centers, hist, width=width, color=SECONDARY_PURPLE, \n", + " edgecolor='black', alpha=0.7)\n", + "ax_polar.set_title('Polar View\\n(concentrated near 0)', fontsize=11, fontweight='bold')\n", + "\n", + "fig.suptitle('Phase Difference Locked Near Zero → Volume Conduction!', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Statistics\n", + "mean_phase = np.angle(np.mean(np.exp(1j * phase_diff_wrapped)))\n", + "std_phase = np.std(phase_diff_wrapped)\n", + "print(f\"📐 Phase difference statistics:\")\n", + "print(f\" Mean: {np.degrees(mean_phase):.1f}° (near zero!)\")\n", + "print(f\" Std: {np.degrees(std_phase):.1f}° (very narrow distribution)\")" + ] + }, + { + "cell_type": "markdown", + "id": "b20dd6e7", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 5. Why This Matters for Hyperscanning 🧠🧠\n", + "\n", + "Now let's connect this to the main topic of our workshop: **hyperscanning** (simultaneous recording from multiple brains).\n", + "\n", + "### The Good News\n", + "\n", + "In hyperscanning, we compare brain signals from **different people**. Volume conduction is an electrical phenomenon — it requires a physical conductive path.\n", + "\n", + "**There is NO conductive path between two separate heads!**\n", + "\n", + "This means:\n", + "- Electrical fields from Person A's brain cannot reach Person B's electrodes\n", + "- Inter-brain connectivity is **immune to volume conduction**\n", + "- If we see correlation between two people's brain signals, it's NOT an artifact\n", + "\n", + "### The Bad News\n", + "\n", + "Volume conduction still affects **within-participant** analysis:\n", + "- Comparing electrodes on the SAME head still has the problem\n", + "- Intra-brain connectivity is just as problematic as in single-brain studies\n", + "\n", + "Also, if we're sloppy with our analysis:\n", + "- Comparing the \"wrong\" electrode pairs unknowingly\n", + "- Not properly accounting for reference electrode effects\n", + "\n", + "### The Key Advantage\n", + "\n", + "> 🎯 **Hyperscanning Advantage**: Inter-brain connectivity is \"cleaner\" than intra-brain connectivity because volume conduction cannot occur between separate heads.\n", + "\n", + "This is one reason why hyperscanning is so valuable — we can be more confident that inter-brain synchronization reflects true neural coupling!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "34f00ec7", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 6: Two-Brain Hyperscanning Setup\n", + "# ============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 8))\n", + "\n", + "# Draw two heads\n", + "for x_center, color, label in [(0.25, SUBJECT_1, 'Participant 1'), \n", + " (0.75, SUBJECT_2, 'Participant 2')]:\n", + " # Head\n", + " head = Ellipse((x_center, 0.5), 0.35, 0.45, fill=True, \n", + " facecolor=color, alpha=0.2, edgecolor=color, linewidth=3)\n", + " ax.add_patch(head)\n", + " \n", + " # Brain region\n", + " brain = Ellipse((x_center, 0.47), 0.25, 0.3, fill=True, \n", + " facecolor=color, alpha=0.3, edgecolor=color, linewidth=1)\n", + " ax.add_patch(brain)\n", + " \n", + " # Source in brain\n", + " ax.plot(x_center, 0.47, 'o', markersize=10, color=color, \n", + " markeredgecolor='black', markeredgewidth=1.5)\n", + " \n", + " # Electrodes\n", + " for dx, dy in [(-0.1, 0.15), (0, 0.2), (0.1, 0.15)]:\n", + " ax.plot(x_center + dx, 0.5 + dy, 's', markersize=8, color=color,\n", + " markeredgecolor='black', markeredgewidth=1)\n", + " \n", + " ax.annotate(label, (x_center, 0.15), ha='center', fontsize=12, \n", + " fontweight='bold', color=color)\n", + "\n", + "# Within-brain connections (problematic)\n", + "ax.annotate('', xy=(0.15, 0.65), xytext=(0.35, 0.65),\n", + " arrowprops=dict(arrowstyle='<->', color='red', lw=2))\n", + "ax.annotate('WITHIN-BRAIN\\n⚠️ Volume conduction!', (0.25, 0.78), \n", + " ha='center', fontsize=10, color='red', fontweight='bold')\n", + "\n", + "ax.annotate('', xy=(0.65, 0.65), xytext=(0.85, 0.65),\n", + " arrowprops=dict(arrowstyle='<->', color='red', lw=2))\n", + "\n", + "# Between-brain connection (clean)\n", + "ax.annotate('', xy=(0.42, 0.5), xytext=(0.58, 0.5),\n", + " arrowprops=dict(arrowstyle='<->', color='green', lw=3))\n", + "ax.annotate('BETWEEN-BRAIN\\n✓ No volume conduction!', (0.5, 0.35), \n", + " ha='center', fontsize=11, color='green', fontweight='bold',\n", + " bbox=dict(boxstyle='round', facecolor='lightgreen', alpha=0.8))\n", + "\n", + "# Big X for no volume conduction between heads\n", + "ax.plot([0.42, 0.58], [0.55, 0.45], 'g-', linewidth=2, alpha=0.5)\n", + "ax.plot([0.42, 0.58], [0.45, 0.55], 'g-', linewidth=2, alpha=0.5)\n", + "\n", + "ax.set_xlim(0, 1)\n", + "ax.set_ylim(0.1, 0.9)\n", + "ax.set_aspect('equal')\n", + "ax.axis('off')\n", + "ax.set_title('Hyperscanning: Inter-Brain Connectivity is Cleaner!', \n", + " fontsize=14, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"🧠🧠 Key insight for hyperscanning:\")\n", + "print(\" - Within-brain connectivity: Still affected by volume conduction\")\n", + "print(\" - Between-brain connectivity: NO volume conduction possible!\")\n", + "print(\" - This makes inter-brain synchronization more trustworthy.\")" + ] + }, + { + "cell_type": "markdown", + "id": "06fd4bb6", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 6. Demonstrating the Problem — Multi-Source Simulation\n", + "\n", + "Let's create a more realistic simulation with multiple sources and electrodes. This will show how volume conduction creates patterns of spurious connectivity across the scalp." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1cf17aaa", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 3: Create Mixing Matrix\n", + "# ============================================================================\n", + "\n", + "def create_mixing_matrix(\n", + " n_sources: int,\n", + " n_electrodes: int,\n", + " spread: float = 0.5,\n", + " seed: Optional[int] = None\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Create a mixing matrix simulating field spread from sources to electrodes.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_sources : int\n", + " Number of brain sources.\n", + " n_electrodes : int\n", + " Number of scalp electrodes.\n", + " spread : float, optional\n", + " Controls how much sources spread (0 = no spread, 1 = full spread).\n", + " Default is 0.5.\n", + " seed : int, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " mixing_matrix : ndarray of float64\n", + " Mixing matrix, shape (n_electrodes, n_sources).\n", + " Each row shows how much each source contributes to that electrode.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " # Create base pattern: each electrode mainly sees nearby sources\n", + " # but also has some spread to distant sources\n", + " mixing_matrix = np.zeros((n_electrodes, n_sources))\n", + " \n", + " for i in range(n_electrodes):\n", + " for j in range(n_sources):\n", + " # Distance-based weight (closer = stronger)\n", + " # Normalized positions\n", + " electrode_pos = i / (n_electrodes - 1) if n_electrodes > 1 else 0.5\n", + " source_pos = j / (n_sources - 1) if n_sources > 1 else 0.5\n", + " distance = abs(electrode_pos - source_pos)\n", + " \n", + " # Weight decreases with distance, controlled by spread parameter\n", + " weight = np.exp(-distance / (spread + 0.1))\n", + " mixing_matrix[i, j] = weight\n", + " \n", + " # Add some random variation\n", + " mixing_matrix += 0.1 * np.random.rand(n_electrodes, n_sources)\n", + " \n", + " # Normalize rows to sum to 1\n", + " mixing_matrix = mixing_matrix / mixing_matrix.sum(axis=1, keepdims=True)\n", + " \n", + " return mixing_matrix\n", + "\n", + "\n", + "def apply_mixing(\n", + " sources: NDArray[np.float64],\n", + " mixing_matrix: NDArray[np.float64],\n", + " noise_level: float = 0.1\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Apply mixing matrix to simulate scalp EEG from brain sources.\n", + " \n", + " Parameters\n", + " ----------\n", + " sources : ndarray of float64\n", + " Source signals, shape (n_sources, n_samples).\n", + " mixing_matrix : ndarray of float64\n", + " Mixing matrix, shape (n_electrodes, n_sources).\n", + " noise_level : float, optional\n", + " Standard deviation of sensor noise. Default is 0.1.\n", + " \n", + " Returns\n", + " -------\n", + " electrodes : ndarray of float64\n", + " Electrode signals, shape (n_electrodes, n_samples).\n", + " \"\"\"\n", + " electrodes = mixing_matrix @ sources\n", + " electrodes += noise_level * np.random.randn(*electrodes.shape)\n", + " return electrodes\n", + "\n", + "\n", + "print(\"✓ Functions defined: create_mixing_matrix, apply_mixing\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5eeea4a3", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 7: Multi-Source Simulation\n", + "# ============================================================================\n", + "\n", + "# Create 3 independent brain sources\n", + "n_sources = 3\n", + "n_electrodes = 6\n", + "duration = 3.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Independent oscillations at different frequencies\n", + "np.random.seed(42)\n", + "sources = np.zeros((n_sources, n_samples))\n", + "source_freqs = [8, 12, 18] # Alpha, high-alpha, beta\n", + "source_colors = [PRIMARY_BLUE, PRIMARY_GREEN, SECONDARY_ORANGE]\n", + "\n", + "for i, freq in enumerate(source_freqs):\n", + " sources[i] = np.sin(2 * np.pi * freq * t + np.random.rand() * 2 * np.pi)\n", + "\n", + "# Create mixing matrix with moderate spread\n", + "mixing_matrix = create_mixing_matrix(n_sources, n_electrodes, spread=0.4, seed=42)\n", + "\n", + "# Apply mixing\n", + "electrodes = apply_mixing(sources, mixing_matrix, noise_level=0.1)\n", + "\n", + "# Plot\n", + "fig = plt.figure(figsize=(14, 10))\n", + "gs = fig.add_gridspec(3, 2, width_ratios=[1, 1.2], height_ratios=[0.8, 1, 1])\n", + "\n", + "# Mixing matrix heatmap\n", + "ax_mix = fig.add_subplot(gs[0, 0])\n", + "im = ax_mix.imshow(mixing_matrix, cmap='YlOrRd', aspect='auto')\n", + "ax_mix.set_xlabel('Source', fontsize=11)\n", + "ax_mix.set_ylabel('Electrode', fontsize=11)\n", + "ax_mix.set_xticks(range(n_sources))\n", + "ax_mix.set_xticklabels([f'S{i+1}\\n({f}Hz)' for i, f in enumerate(source_freqs)])\n", + "ax_mix.set_yticks(range(n_electrodes))\n", + "ax_mix.set_yticklabels([f'E{i+1}' for i in range(n_electrodes)])\n", + "ax_mix.set_title('Mixing Matrix\\n(how much each source → electrode)', fontsize=11, fontweight='bold')\n", + "plt.colorbar(im, ax=ax_mix, label='Weight')\n", + "\n", + "# Source signals\n", + "ax_src = fig.add_subplot(gs[0, 1])\n", + "for i in range(n_sources):\n", + " offset = (n_sources - 1 - i) * 2.5\n", + " ax_src.plot(t[:256], sources[i, :256] + offset, color=source_colors[i], \n", + " linewidth=1.5, label=f'Source {i+1} ({source_freqs[i]} Hz)')\n", + "ax_src.set_ylabel('Sources (offset)', fontsize=11)\n", + "ax_src.set_title('Independent Brain Sources', fontsize=11, fontweight='bold')\n", + "ax_src.legend(loc='upper right', fontsize=9)\n", + "ax_src.set_xlim([0, 1])\n", + "ax_src.grid(True, alpha=0.3)\n", + "\n", + "# Electrode signals\n", + "ax_elec = fig.add_subplot(gs[1, :])\n", + "electrode_colors = plt.cm.viridis(np.linspace(0.2, 0.8, n_electrodes))\n", + "for i in range(n_electrodes):\n", + " offset = (n_electrodes - 1 - i) * 2\n", + " ax_elec.plot(t[:512], electrodes[i, :512] + offset, color=electrode_colors[i], \n", + " linewidth=1, label=f'E{i+1}')\n", + "ax_elec.set_xlabel('Time (s)', fontsize=11)\n", + "ax_elec.set_ylabel('Electrodes (offset)', fontsize=11)\n", + "ax_elec.set_title('Resulting Electrode Signals (Mixtures of Sources)', fontsize=11, fontweight='bold')\n", + "ax_elec.legend(loc='upper right', fontsize=9, ncol=2)\n", + "ax_elec.set_xlim([0, 2])\n", + "ax_elec.grid(True, alpha=0.3)\n", + "\n", + "# Annotation\n", + "ax_note = fig.add_subplot(gs[2, :])\n", + "ax_note.text(0.5, 0.5, \n", + " \"Each electrode signal is a MIXTURE of all sources!\\n\"\n", + " \"Nearby electrodes have similar mixtures → spurious connectivity\",\n", + " ha='center', va='center', fontsize=12,\n", + " bbox=dict(boxstyle='round', facecolor='lightyellow', edgecolor='orange', linewidth=2))\n", + "ax_note.axis('off')\n", + "\n", + "fig.suptitle('Volume Conduction Simulation: Sources → Mixing → Electrodes', \n", + " fontsize=14, fontweight='bold', y=0.98)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "037fe319", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 8: Spurious Connectivity Matrix\n", + "# ============================================================================\n", + "\n", + "# Compute connectivity matrix (correlation) between all electrode pairs\n", + "connectivity_matrix = np.corrcoef(electrodes)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Correlation matrix\n", + "im = axes[0].imshow(connectivity_matrix, cmap='RdBu_r', vmin=-1, vmax=1, aspect='equal')\n", + "axes[0].set_xticks(range(n_electrodes))\n", + "axes[0].set_yticks(range(n_electrodes))\n", + "axes[0].set_xticklabels([f'E{i+1}' for i in range(n_electrodes)])\n", + "axes[0].set_yticklabels([f'E{i+1}' for i in range(n_electrodes)])\n", + "axes[0].set_title('Correlation Matrix\\n(Spurious Connectivity!)', fontsize=12, fontweight='bold')\n", + "plt.colorbar(im, ax=axes[0], label='Correlation')\n", + "\n", + "# Add values\n", + "for i in range(n_electrodes):\n", + " for j in range(n_electrodes):\n", + " if i != j:\n", + " axes[0].text(j, i, f'{connectivity_matrix[i,j]:.2f}', \n", + " ha='center', va='center', fontsize=9,\n", + " color='white' if abs(connectivity_matrix[i,j]) > 0.5 else 'black')\n", + "\n", + "# Mixing matrix similarity (explains the pattern)\n", + "mixing_similarity = mixing_matrix @ mixing_matrix.T\n", + "im2 = axes[1].imshow(mixing_similarity, cmap='YlOrRd', aspect='equal')\n", + "axes[1].set_xticks(range(n_electrodes))\n", + "axes[1].set_yticks(range(n_electrodes))\n", + "axes[1].set_xticklabels([f'E{i+1}' for i in range(n_electrodes)])\n", + "axes[1].set_yticklabels([f'E{i+1}' for i in range(n_electrodes)])\n", + "axes[1].set_title('Mixing Similarity\\n(Shared Sources)', fontsize=12, fontweight='bold')\n", + "plt.colorbar(im2, ax=axes[1], label='Similarity')\n", + "\n", + "fig.suptitle('High Correlation = Shared Sources (NOT Real Connectivity!)', \n", + " fontsize=14, fontweight='bold', color='red', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"📊 Notice: Nearby electrodes (E1-E2, E5-E6) have HIGH correlation.\")\n", + "print(\" This is because they share the SAME sources — volume conduction!\")\n", + "print(\" The pattern matches the mixing similarity matrix.\")" + ] + }, + { + "cell_type": "markdown", + "id": "85ae9a09", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 7. Solutions Overview: How Do We Fix This?\n", + "\n", + "The volume conduction problem seems insurmountable, but researchers have developed several clever strategies to mitigate its effects. These solutions fall into **three main categories**:\n", + "\n", + "### Category 1: Metrics Insensitive to Zero-Lag\n", + "Since volume conduction creates **instantaneous** (zero-lag) mixing, we can design connectivity metrics that **ignore zero-lag synchronization**.\n", + "\n", + "| Metric | Strategy | Key Idea |\n", + "|--------|----------|----------|\n", + "| **Imaginary Coherence (ImCoh)** | Uses only the imaginary part of coherence | Zero-lag = real-valued, so imaginary part = 0 |\n", + "| **Phase Lag Index (PLI)** | Measures consistency of phase lead/lag | Zero-lag = 0° difference, not counted |\n", + "| **weighted PLI (wPLI)** | Weighted version of PLI | More robust to noise |\n", + "\n", + "### Category 2: Spatial Filtering\n", + "Instead of changing the metric, we can **transform the data** to reduce mixing before computing connectivity.\n", + "\n", + "| Method | Strategy |\n", + "|--------|----------|\n", + "| **Laplacian Reference** | Emphasizes local activity, reduces spread |\n", + "| **Source Localization** | Reconstructs original sources from sensor data |\n", + "| **ICA** | Separates mixed signals into independent components |\n", + "\n", + "### Category 3: Statistical Approaches\n", + "Use statistical methods to distinguish true from spurious connectivity.\n", + "\n", + "| Method | Strategy |\n", + "|--------|----------|\n", + "| **Surrogate Testing** | Compare to null distribution without true coupling |\n", + "| **Cross-frequency analysis** | True interactions often cross frequency bands |\n", + "\n", + "> 🎯 **In this workshop, we'll focus on Category 1 metrics** (ImCoh, PLI, wPLI) as they are most commonly used in hyperscanning research." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1eca8e5a", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 9: Decision Flowchart for Metric Selection\n", + "# ============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(15, 10))\n", + "ax.set_xlim(0, 16)\n", + "ax.set_ylim(0, 10)\n", + "ax.axis('off')\n", + "ax.set_title('Decision Flowchart: Choosing Volume Conduction-Robust Metrics', \n", + " fontsize=14, fontweight='bold', pad=20)\n", + "\n", + "# Helper function for boxes\n", + "def draw_box(ax, x, y, w, h, text, color, text_color='white', fontsize=10):\n", + " box = plt.Rectangle((x - w/2, y - h/2), w, h, \n", + " facecolor=color, edgecolor='black', linewidth=2,\n", + " alpha=0.9, zorder=2)\n", + " ax.add_patch(box)\n", + " ax.text(x, y, text, ha='center', va='center', fontsize=fontsize,\n", + " fontweight='bold', color=text_color, zorder=3,\n", + " wrap=True)\n", + " return (x, y)\n", + "\n", + "def draw_arrow(ax, start, end, color='black'):\n", + " ax.annotate('', xy=end, xytext=start,\n", + " arrowprops=dict(arrowstyle='->', color=color, lw=2),\n", + " zorder=1)\n", + "\n", + "# Start box\n", + "draw_box(ax, 7, 9, 4, 1, 'EEG Connectivity\\nAnalysis', PRIMARY_BLUE)\n", + "\n", + "# Question 1\n", + "draw_box(ax, 7, 7, 5, 1, 'Concerned about\\nvolume conduction?', SECONDARY_ORANGE, 'black')\n", + "draw_arrow(ax, (7, 8.5), (7, 7.5))\n", + "\n", + "# No path\n", + "draw_box(ax, 3, 7, 2.5, 0.8, 'No', '#888888')\n", + "draw_arrow(ax, (4.5, 7), (4.25, 7))\n", + "draw_box(ax, 3, 5.5, 3, 1, 'Standard metrics:\\nCoherence, PLV', '#666666')\n", + "draw_arrow(ax, (3, 6.4), (3, 6))\n", + "\n", + "# Yes path \n", + "draw_box(ax, 11, 7, 2.5, 0.8, 'Yes', PRIMARY_GREEN)\n", + "draw_arrow(ax, (9.5, 7), (9.75, 7))\n", + "\n", + "# Category selection\n", + "draw_box(ax, 11, 5.5, 4.5, 1, 'Choose approach:', SECONDARY_PURPLE)\n", + "draw_arrow(ax, (11, 6.4), (11, 6))\n", + "\n", + "# Three solutions\n", + "draw_box(ax, 7, 3.5, 3.5, 1.2, 'Robust Metrics\\n(ImCoh, PLI, wPLI)', PRIMARY_BLUE)\n", + "draw_box(ax, 11, 3.5, 3.5, 1.2, 'Spatial Filtering\\n(Laplacian, ICA)', PRIMARY_RED)\n", + "draw_box(ax, 14, 3.5, 2.5, 1.2, 'Statistical\\nControls', PRIMARY_GREEN, 'black')\n", + "\n", + "draw_arrow(ax, (9.25, 5), (7, 4.1))\n", + "draw_arrow(ax, (11, 5), (11, 4.1))\n", + "draw_arrow(ax, (12.75, 5), (14, 4.1))\n", + "\n", + "# Pros/cons\n", + "ax.text(7, 2.2, '✓ Easy to implement\\n✓ Well understood\\n✗ May miss true 0-lag', \n", + " ha='center', va='top', fontsize=9, style='italic')\n", + "ax.text(11, 2.2, '✓ Reduces mixing\\n✓ Better localization\\n✗ Requires expertise', \n", + " ha='center', va='top', fontsize=9, style='italic')\n", + "ax.text(14, 2.2, '✓ Rigorous\\n✗ Complex\\n✗ Computationally heavy', \n", + " ha='center', va='top', fontsize=9, style='italic')\n", + "\n", + "# Recommendation box\n", + "rec_box = plt.Rectangle((5, 0.3), 8, 1.2, facecolor='#ffffcc', \n", + " edgecolor=SECONDARY_ORANGE, linewidth=3, zorder=2)\n", + "ax.add_patch(rec_box)\n", + "ax.text(9, 0.9, '💡 Recommended for Hyperscanning: Start with PLI or wPLI', \n", + " ha='center', va='center', fontsize=11, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "6f9c538e", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 8. Imaginary Coherence: Ignoring the Real Part\n", + "\n", + "**Imaginary Coherence (ImCoh)** exploits a fundamental property of volume conduction: **instantaneous mixing produces only real-valued coherence**.\n", + "\n", + "### The Mathematical Insight\n", + "\n", + "Standard **coherence** is a complex number:\n", + "$$\\text{Coh}_{xy}(f) = \\frac{S_{xy}(f)}{\\sqrt{S_{xx}(f) \\cdot S_{yy}(f)}}$$\n", + "\n", + "This can be decomposed into:\n", + "- **Real part**: Captures in-phase (0°) and anti-phase (180°) relationships\n", + "- **Imaginary part**: Captures phase-shifted relationships (≠ 0° or 180°)\n", + "\n", + "### Why Volume Conduction is Real-Valued\n", + "\n", + "When signal $y$ is a linear mixture of signal $x$:\n", + "$$y(t) = \\alpha \\cdot x(t) + \\text{noise}$$\n", + "\n", + "The cross-spectrum $S_{xy}$ is **purely real** because:\n", + "- Same signal at same time → phase difference = 0°\n", + "- cos(0°) = 1, sin(0°) = 0\n", + "- Real part ≠ 0, but **Imaginary part = 0**\n", + "\n", + "### The Solution\n", + "\n", + "**Imaginary Coherence** uses only the imaginary part:\n", + "$$\\text{ImCoh}_{xy}(f) = \\text{Im}\\left(\\text{Coh}_{xy}(f)\\right)$$\n", + "\n", + "This is **insensitive to zero-lag mixing** because volume conduction contributes nothing to the imaginary part!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "525d4fa2", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 10: Complex Plane - Understanding Imaginary Coherence\n", + "# ============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "# Helper: draw complex plane\n", + "def setup_complex_plane(ax, title):\n", + " ax.axhline(y=0, color='black', linewidth=0.5)\n", + " ax.axvline(x=0, color='black', linewidth=0.5)\n", + " ax.set_xlim(-1.5, 1.5)\n", + " ax.set_ylim(-1.5, 1.5)\n", + " ax.set_aspect('equal')\n", + " ax.set_xlabel('Real Part', fontsize=11)\n", + " ax.set_ylabel('Imaginary Part', fontsize=11)\n", + " ax.set_title(title, fontsize=12, fontweight='bold')\n", + " # Unit circle\n", + " theta = np.linspace(0, 2*np.pi, 100)\n", + " ax.plot(np.cos(theta), np.sin(theta), 'k--', alpha=0.3, linewidth=1)\n", + "\n", + "# Panel 1: Volume conduction (real-valued coherence)\n", + "ax = axes[0]\n", + "setup_complex_plane(ax, 'Volume Conduction\\n(Zero-Lag)')\n", + "\n", + "# Show multiple \"coherence\" values on real axis\n", + "for val in [0.3, 0.6, 0.85]:\n", + " ax.arrow(0, 0, val, 0, head_width=0.08, head_length=0.05, \n", + " fc=PRIMARY_RED, ec=PRIMARY_RED, linewidth=2)\n", + "ax.scatter([0.3, 0.6, 0.85], [0, 0, 0], s=100, c=PRIMARY_RED, zorder=5)\n", + "\n", + "# Highlight real axis\n", + "ax.fill_between([-1.5, 1.5], [-0.1, -0.1], [0.1, 0.1], \n", + " color=PRIMARY_RED, alpha=0.2)\n", + "ax.text(0.7, -0.5, 'All values\\non real axis!', fontsize=10, \n", + " ha='center', color=PRIMARY_RED, fontweight='bold')\n", + "ax.text(0, 1.2, 'ImCoh = 0', fontsize=14, ha='center', \n", + " color=PRIMARY_RED, fontweight='bold',\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=PRIMARY_RED))\n", + "\n", + "# Panel 2: True connectivity (complex coherence)\n", + "ax = axes[1]\n", + "setup_complex_plane(ax, 'True Connectivity\\n(Phase Lag ≠ 0)')\n", + "\n", + "# Show coherence vectors with different phases\n", + "phases = [np.pi/6, np.pi/3, np.pi/2, 2*np.pi/3]\n", + "magnitudes = [0.7, 0.8, 0.6, 0.75]\n", + "for phase, mag in zip(phases, magnitudes):\n", + " x, y = mag * np.cos(phase), mag * np.sin(phase)\n", + " ax.arrow(0, 0, x*0.9, y*0.9, head_width=0.08, head_length=0.05,\n", + " fc=PRIMARY_BLUE, ec=PRIMARY_BLUE, linewidth=2)\n", + " ax.scatter([x], [y], s=100, c=PRIMARY_BLUE, zorder=5)\n", + "\n", + "# Highlight imaginary axis\n", + "ax.fill_betweenx([-1.5, 1.5], [-0.1, -0.1], [0.1, 0.1],\n", + " color=PRIMARY_BLUE, alpha=0.2)\n", + "ax.text(0.8, 0.8, 'Non-zero\\nimaginary\\ncomponents!', fontsize=10,\n", + " ha='center', color=PRIMARY_BLUE, fontweight='bold')\n", + "ax.text(0, 1.2, 'ImCoh ≠ 0', fontsize=14, ha='center',\n", + " color=PRIMARY_BLUE, fontweight='bold',\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=PRIMARY_BLUE))\n", + "\n", + "# Panel 3: What ImCoh captures\n", + "ax = axes[2]\n", + "setup_complex_plane(ax, 'Imaginary Coherence\\nCaptures Only This')\n", + "\n", + "# Gray out real axis\n", + "ax.fill_between([-1.5, 1.5], [-0.15, -0.15], [0.15, 0.15],\n", + " color='gray', alpha=0.3)\n", + "ax.text(0.8, 0, '✗ Ignored', fontsize=10, color='gray', va='center')\n", + "\n", + "# Highlight imaginary axis (positive and negative)\n", + "ax.fill_betweenx([0.15, 1.5], [-0.15, -0.15], [0.15, 0.15],\n", + " color=PRIMARY_GREEN, alpha=0.3)\n", + "ax.fill_betweenx([-1.5, -0.15], [-0.15, -0.15], [0.15, 0.15],\n", + " color=PRIMARY_GREEN, alpha=0.3)\n", + "\n", + "# Show projection\n", + "phase = np.pi/3\n", + "mag = 0.8\n", + "x, y = mag * np.cos(phase), mag * np.sin(phase)\n", + "ax.arrow(0, 0, x*0.9, y*0.9, head_width=0.08, head_length=0.05,\n", + " fc=PRIMARY_BLUE, ec=PRIMARY_BLUE, linewidth=2, alpha=0.5)\n", + "ax.plot([x, x], [0, y], 'g--', linewidth=2)\n", + "ax.plot([0, x], [y, y], 'g--', linewidth=2)\n", + "ax.scatter([0], [y], s=150, c=PRIMARY_GREEN, zorder=5, marker='*')\n", + "ax.text(0.3, y, f'ImCoh = {y:.2f}', fontsize=11, color=PRIMARY_GREEN, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Key Insight: Imaginary Coherence is blind to volume conduction!\")\n", + "print(\"It only captures phase relationships that are NOT 0° or 180°.\")" + ] + }, + { + "cell_type": "markdown", + "id": "6045db4e", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 9. Phase Lag Index (PLI): Counting Lead vs Lag\n", + "\n", + "**Phase Lag Index (PLI)** takes a different approach: instead of looking at coherence magnitude, it focuses on **phase differences**.\n", + "\n", + "### The Core Idea\n", + "\n", + "At each time point, we ask: **\"Is signal A ahead or behind signal B?\"**\n", + "\n", + "- If A leads B consistently → **positive phase difference**\n", + "- If B leads A consistently → **negative phase difference** \n", + "- If volume conduction → **zero phase difference** (neither leads)\n", + "\n", + "### The Mathematical Definition\n", + "\n", + "$$\\text{PLI} = \\left| \\langle \\text{sign}(\\Delta\\phi(t)) \\rangle \\right|$$\n", + "\n", + "Where:\n", + "- $\\Delta\\phi(t)$ is the instantaneous phase difference\n", + "- $\\text{sign}()$ returns +1, 0, or -1\n", + "- $\\langle \\cdot \\rangle$ is the average over time\n", + "\n", + "### Why It Works\n", + "\n", + "| Scenario | Phase Difference | sign(Δφ) | PLI |\n", + "|----------|------------------|----------|-----|\n", + "| Volume conduction | Always ~0° | ~0 | **0** |\n", + "| A consistently leads B | Mostly positive | Mostly +1 | **High** |\n", + "| B consistently leads A | Mostly negative | Mostly -1 | **High** |\n", + "| Random relationship | Mixed positive/negative | Cancels out | **Low** |\n", + "\n", + "> 💡 **Key advantage**: PLI is also robust to **amplitude differences** between signals!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "69723ad7", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 11: PLI Intuition - Sign of Phase Difference\n", + "# ============================================================================\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 10))\n", + "\n", + "# Generate example signals with different phase relationships\n", + "np.random.seed(42)\n", + "t = np.arange(0, 2, 1/fs)\n", + "freq = 10 # Hz\n", + "\n", + "# Scenario 1: Volume conduction (same signal)\n", + "sig1_vc = np.sin(2 * np.pi * freq * t)\n", + "sig2_vc = 0.8 * sig1_vc + 0.1 * np.random.randn(len(t))\n", + "\n", + "# Scenario 2: True lead (signal 2 leads by pi/4)\n", + "sig1_lead = np.sin(2 * np.pi * freq * t)\n", + "sig2_lead = np.sin(2 * np.pi * freq * t + np.pi/4) + 0.1 * np.random.randn(len(t))\n", + "\n", + "# Scenario 3: Random phase relationship\n", + "sig1_rand = np.sin(2 * np.pi * freq * t)\n", + "phase_drift = np.cumsum(0.1 * np.random.randn(len(t)))\n", + "sig2_rand = np.sin(2 * np.pi * freq * t + phase_drift)\n", + "\n", + "scenarios = [\n", + " (sig1_vc, sig2_vc, 'Volume Conduction', PRIMARY_RED),\n", + " (sig1_lead, sig2_lead, 'True Connectivity (B leads)', PRIMARY_BLUE),\n", + " (sig1_rand, sig2_rand, 'Random Relationship', SECONDARY_ORANGE)\n", + "]\n", + "\n", + "for i, (s1, s2, title, color) in enumerate(scenarios):\n", + " # Top row: Time series\n", + " ax = axes[0, i]\n", + " ax.plot(t[:256], s1[:256], label='Signal A', color=PRIMARY_BLUE, linewidth=1.5)\n", + " ax.plot(t[:256], s2[:256], label='Signal B', color=PRIMARY_RED, linewidth=1.5)\n", + " ax.set_title(title, fontsize=12, fontweight='bold', color=color)\n", + " ax.set_xlabel('Time (s)')\n", + " ax.set_ylabel('Amplitude')\n", + " ax.legend(loc='upper right', fontsize=9)\n", + " ax.set_xlim(0, 1)\n", + " \n", + " # Bottom row: Sign of phase difference over time\n", + " ax = axes[1, i]\n", + " \n", + " # Compute phase difference\n", + " analytic1 = scipy.signal.hilbert(s1)\n", + " analytic2 = scipy.signal.hilbert(s2)\n", + " phase1 = np.angle(analytic1)\n", + " phase2 = np.angle(analytic2)\n", + " phase_diff = phase2 - phase1\n", + " phase_diff = np.arctan2(np.sin(phase_diff), np.cos(phase_diff)) # Wrap to [-pi, pi]\n", + " \n", + " signs = np.sign(phase_diff)\n", + " \n", + " # Plot as colored bars\n", + " for j in range(len(t)-1):\n", + " if signs[j] > 0:\n", + " ax.axvspan(t[j], t[j+1], color=PRIMARY_GREEN, alpha=0.7)\n", + " elif signs[j] < 0:\n", + " ax.axvspan(t[j], t[j+1], color=PRIMARY_RED, alpha=0.7)\n", + " else:\n", + " ax.axvspan(t[j], t[j+1], color='gray', alpha=0.5)\n", + " \n", + " # Compute PLI\n", + " pli = np.abs(np.mean(signs))\n", + " \n", + " ax.axhline(y=0, color='black', linewidth=2)\n", + " ax.set_xlim(0, 2)\n", + " ax.set_ylim(-0.5, 0.5)\n", + " ax.set_xlabel('Time (s)')\n", + " ax.set_yticks([])\n", + " ax.set_ylabel('sign(Δφ)')\n", + " \n", + " # Add legend\n", + " ax.text(0.05, 0.35, '+1 (B leads)', fontsize=10, color=PRIMARY_GREEN, fontweight='bold')\n", + " ax.text(0.05, -0.35, '-1 (A leads)', fontsize=10, color=PRIMARY_RED, fontweight='bold')\n", + " \n", + " # PLI value\n", + " ax.text(1.5, 0.35, f'PLI = {pli:.2f}', fontsize=14, fontweight='bold',\n", + " ha='center', bbox=dict(boxstyle='round', facecolor='white', edgecolor=color))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Interpretation:\")\n", + "print(\"• Volume Conduction: PLI ≈ 0 (phases are identical, sign is randomly ±1 due to noise)\")\n", + "print(\"• True Connectivity: PLI > 0 (consistent lead/lag relationship)\")\n", + "print(\"• Random: PLI ≈ 0 (positive and negative cancel out)\")" + ] + }, + { + "cell_type": "markdown", + "id": "afd1197f", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 10. PLV vs PLI: The Critical Comparison\n", + "\n", + "Now let's directly compare **PLV** (vulnerable to volume conduction) with **PLI** (robust to volume conduction) using the same data.\n", + "\n", + "This is perhaps the most important visualization in understanding why metric choice matters!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2ca26ec2", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTIONS 5-6: PLI Implementation and Comparison Functions\n", + "# ============================================================================\n", + "\n", + "def compute_pli(\n", + " signal_1: NDArray[np.floating],\n", + " signal_2: NDArray[np.floating]\n", + ") -> np.floating:\n", + " \"\"\"\n", + " Compute Phase Lag Index between two signals.\n", + " \n", + " PLI measures the asymmetry of the phase difference distribution.\n", + " It is robust to volume conduction because zero-lag mixing produces\n", + " symmetric phase differences (around 0), leading to PLI = 0.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal_1 : NDArray[np.floating]\n", + " First input signal.\n", + " signal_2 : NDArray[np.floating]\n", + " Second input signal.\n", + " \n", + " Returns\n", + " -------\n", + " np.floating\n", + " Phase Lag Index value between 0 and 1.\n", + " 0 = no consistent lead/lag (or volume conduction)\n", + " 1 = perfect consistent lead/lag relationship\n", + " \"\"\"\n", + " # Get instantaneous phases via Hilbert transform\n", + " analytic_1 = scipy.signal.hilbert(signal_1)\n", + " analytic_2 = scipy.signal.hilbert(signal_2)\n", + " \n", + " phase_1 = np.angle(analytic_1)\n", + " phase_2 = np.angle(analytic_2)\n", + " \n", + " # Compute phase difference\n", + " phase_diff = phase_2 - phase_1\n", + " \n", + " # Wrap to [-pi, pi]\n", + " phase_diff = np.arctan2(np.sin(phase_diff), np.cos(phase_diff))\n", + " \n", + " # PLI = |mean(sign(phase_diff))|\n", + " pli = np.abs(np.mean(np.sign(phase_diff)))\n", + " \n", + " return pli\n", + "\n", + "\n", + "def simulate_volume_conduction_scenario(\n", + " fs: int = 256,\n", + " duration: float = 5.0,\n", + " freq: float = 10.0,\n", + " mixing_strength: float = 0.5,\n", + " noise_level: float = 0.1,\n", + " seed: Optional[int] = None\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"\n", + " Simulate a volume conduction scenario with one source and two electrodes.\n", + " \n", + " Parameters\n", + " ----------\n", + " fs : int\n", + " Sampling frequency in Hz.\n", + " duration : float\n", + " Duration in seconds.\n", + " freq : float\n", + " Frequency of the source signal in Hz.\n", + " mixing_strength : float\n", + " How much the source contributes to electrode 2 (0 to 1).\n", + " noise_level : float\n", + " Standard deviation of added noise.\n", + " seed : Optional[int]\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray, NDArray, NDArray]\n", + " Time vector, electrode 1 signal, electrode 2 signal.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " t = np.arange(0, duration, 1/fs)\n", + " \n", + " # Source signal\n", + " source = np.sin(2 * np.pi * freq * t)\n", + " \n", + " # Electrode signals (both receive the same source, different weights)\n", + " electrode_1 = source + noise_level * np.random.randn(len(t))\n", + " electrode_2 = mixing_strength * source + noise_level * np.random.randn(len(t))\n", + " \n", + " return t, electrode_1, electrode_2\n", + "\n", + "\n", + "def simulate_true_connectivity_scenario(\n", + " fs: int = 256,\n", + " duration: float = 5.0,\n", + " freq: float = 10.0,\n", + " phase_lag: float = np.pi/4,\n", + " noise_level: float = 0.1,\n", + " seed: Optional[int] = None\n", + ") -> Tuple[NDArray[np.floating], NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"\n", + " Simulate a true connectivity scenario with consistent phase lag.\n", + " \n", + " Parameters\n", + " ----------\n", + " fs : int\n", + " Sampling frequency in Hz.\n", + " duration : float\n", + " Duration in seconds.\n", + " freq : float\n", + " Frequency of the oscillation in Hz.\n", + " phase_lag : float\n", + " Phase lag between signals in radians.\n", + " noise_level : float\n", + " Standard deviation of added noise.\n", + " seed : Optional[int]\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray, NDArray, NDArray]\n", + " Time vector, signal 1, signal 2.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " t = np.arange(0, duration, 1/fs)\n", + " \n", + " # Two signals with consistent phase lag\n", + " signal_1 = np.sin(2 * np.pi * freq * t) + noise_level * np.random.randn(len(t))\n", + " signal_2 = np.sin(2 * np.pi * freq * t + phase_lag) + noise_level * np.random.randn(len(t))\n", + " \n", + " return t, signal_1, signal_2\n", + "\n", + "\n", + "print(\"Functions defined:\")\n", + "print(\"• compute_pli(signal_1, signal_2) → Phase Lag Index\")\n", + "print(\"• simulate_volume_conduction_scenario(...) → Spurious connectivity scenario\")\n", + "print(\"• simulate_true_connectivity_scenario(...) → True connectivity scenario\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1d638431", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 12: PLV vs PLI Comparison - The Key Insight\n", + "# ============================================================================\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Scenario A: Volume Conduction\n", + "t_vc, sig1_vc, sig2_vc = simulate_volume_conduction_scenario(\n", + " fs=fs, duration=5.0, freq=10.0, mixing_strength=0.7, noise_level=0.1, seed=42\n", + ")\n", + "\n", + "# Scenario B: True Connectivity \n", + "t_tc, sig1_tc, sig2_tc = simulate_true_connectivity_scenario(\n", + " fs=fs, duration=5.0, freq=10.0, phase_lag=np.pi/4, noise_level=0.1, seed=42\n", + ")\n", + "\n", + "# Compute PLV for both (using our earlier compute_plv_simple function logic)\n", + "def compute_plv_local(s1, s2):\n", + " a1 = scipy.signal.hilbert(s1)\n", + " a2 = scipy.signal.hilbert(s2)\n", + " phase_diff = np.angle(a2) - np.angle(a1)\n", + " return np.abs(np.mean(np.exp(1j * phase_diff)))\n", + "\n", + "# Calculate metrics\n", + "plv_vc = compute_plv_local(sig1_vc, sig2_vc)\n", + "pli_vc = compute_pli(sig1_vc, sig2_vc)\n", + "plv_tc = compute_plv_local(sig1_tc, sig2_tc)\n", + "pli_tc = compute_pli(sig1_tc, sig2_tc)\n", + "\n", + "# Top Left: Volume Conduction - Time series\n", + "ax = axes[0, 0]\n", + "ax.plot(t_vc[:512], sig1_vc[:512], label='Electrode A', color=PRIMARY_BLUE, linewidth=1.5)\n", + "ax.plot(t_vc[:512], sig2_vc[:512], label='Electrode B', color=PRIMARY_RED, linewidth=1.5, alpha=0.7)\n", + "ax.set_title('Volume Conduction Scenario\\n(Same source → two electrodes)', \n", + " fontsize=12, fontweight='bold', color=PRIMARY_RED)\n", + "ax.set_xlabel('Time (s)')\n", + "ax.set_ylabel('Amplitude')\n", + "ax.legend()\n", + "ax.set_xlim(0, 2)\n", + "\n", + "# Top Right: True Connectivity - Time series\n", + "ax = axes[0, 1]\n", + "ax.plot(t_tc[:512], sig1_tc[:512], label='Signal A', color=PRIMARY_BLUE, linewidth=1.5)\n", + "ax.plot(t_tc[:512], sig2_tc[:512], label='Signal B', color=PRIMARY_RED, linewidth=1.5, alpha=0.7)\n", + "ax.set_title('True Connectivity Scenario\\n(Consistent 45° phase lag)', \n", + " fontsize=12, fontweight='bold', color=PRIMARY_GREEN)\n", + "ax.set_xlabel('Time (s)')\n", + "ax.set_ylabel('Amplitude')\n", + "ax.legend()\n", + "ax.set_xlim(0, 2)\n", + "\n", + "# Bottom: Bar comparison\n", + "ax = axes[1, 0]\n", + "metrics = ['PLV', 'PLI']\n", + "vc_values = [plv_vc, pli_vc]\n", + "x = np.arange(len(metrics))\n", + "width = 0.35\n", + "\n", + "bars = ax.bar(x, vc_values, width, color=[PRIMARY_RED, PRIMARY_RED], alpha=0.8)\n", + "ax.set_ylabel('Metric Value', fontsize=11)\n", + "ax.set_title('Volume Conduction: Metric Values', fontsize=12, fontweight='bold')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(metrics, fontsize=12, fontweight='bold')\n", + "ax.set_ylim(0, 1.1)\n", + "ax.axhline(y=0.5, color='gray', linestyle='--', alpha=0.5)\n", + "\n", + "# Add value labels\n", + "for bar, val in zip(bars, vc_values):\n", + " ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.03, \n", + " f'{val:.2f}', ha='center', fontsize=14, fontweight='bold')\n", + "\n", + "# Annotations\n", + "ax.annotate('High! (FALSE positive)', xy=(0, plv_vc), xytext=(0.3, plv_vc + 0.15),\n", + " fontsize=10, color=PRIMARY_RED, fontweight='bold',\n", + " arrowprops=dict(arrowstyle='->', color=PRIMARY_RED))\n", + "ax.annotate('Low ✓ (Correct!)', xy=(1, pli_vc), xytext=(1.2, pli_vc + 0.25),\n", + " fontsize=10, color=PRIMARY_GREEN, fontweight='bold',\n", + " arrowprops=dict(arrowstyle='->', color=PRIMARY_GREEN))\n", + "\n", + "ax = axes[1, 1]\n", + "tc_values = [plv_tc, pli_tc]\n", + "\n", + "bars = ax.bar(x, tc_values, width, color=[PRIMARY_GREEN, PRIMARY_GREEN], alpha=0.8)\n", + "ax.set_ylabel('Metric Value', fontsize=11)\n", + "ax.set_title('True Connectivity: Metric Values', fontsize=12, fontweight='bold')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(metrics, fontsize=12, fontweight='bold')\n", + "ax.set_ylim(0, 1.1)\n", + "ax.axhline(y=0.5, color='gray', linestyle='--', alpha=0.5)\n", + "\n", + "# Add value labels\n", + "for bar, val in zip(bars, tc_values):\n", + " ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.03,\n", + " f'{val:.2f}', ha='center', fontsize=14, fontweight='bold')\n", + "\n", + "# Annotations \n", + "ax.annotate('High ✓', xy=(0, plv_tc), xytext=(0.3, plv_tc + 0.1),\n", + " fontsize=10, color=PRIMARY_GREEN, fontweight='bold',\n", + " arrowprops=dict(arrowstyle='->', color=PRIMARY_GREEN))\n", + "ax.annotate('High ✓', xy=(1, pli_tc), xytext=(1.2, pli_tc + 0.1),\n", + " fontsize=10, color=PRIMARY_GREEN, fontweight='bold',\n", + " arrowprops=dict(arrowstyle='->', color=PRIMARY_GREEN))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"=\" * 70)\n", + "print(\"KEY TAKEAWAY:\")\n", + "print(\"=\" * 70)\n", + "print(f\"• Volume Conduction: PLV = {plv_vc:.2f} (HIGH - false positive!), PLI = {pli_vc:.2f} (LOW - correct!)\")\n", + "print(f\"• True Connectivity: PLV = {plv_tc:.2f} (HIGH - correct!), PLI = {pli_tc:.2f} (HIGH - correct!)\")\n", + "print()\n", + "print(\"PLI correctly rejects spurious connectivity while preserving true connectivity!\")" + ] + }, + { + "cell_type": "markdown", + "id": "0bbc1201", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 11. Spatial Filtering: The Laplacian Reference\n", + "\n", + "While robust metrics like PLI address volume conduction at the **analysis stage**, spatial filtering addresses it at the **preprocessing stage**.\n", + "\n", + "### The Surface Laplacian\n", + "\n", + "The **Surface Laplacian** (or Current Source Density) transforms EEG data to emphasize **local** sources and attenuate **distant** ones.\n", + "\n", + "**Intuition**: Instead of measuring voltage at each electrode, we measure how different that electrode is from its neighbors.\n", + "\n", + "$$\\nabla^2 V(x, y) = \\frac{\\partial^2 V}{\\partial x^2} + \\frac{\\partial^2 V}{\\partial y^2}$$\n", + "\n", + "### How It Helps\n", + "\n", + "| Property | Raw EEG | After Laplacian |\n", + "|----------|---------|-----------------|\n", + "| Spatial resolution | Low (blurred) | Higher (sharper) |\n", + "| Volume conduction | Severe | Reduced |\n", + "| Distant sources | Visible | Attenuated |\n", + "| Local sources | Mixed with neighbors | Enhanced |\n", + "\n", + "### Practical Considerations\n", + "\n", + "**Pros:**\n", + "- ✅ Reduces volume conduction before connectivity analysis\n", + "- ✅ Can be combined with any connectivity metric\n", + "- ✅ Implemented in standard toolboxes (MNE, EEGLAB)\n", + "\n", + "**Cons:**\n", + "- ❌ Requires accurate electrode positions\n", + "- ❌ Edge effects at boundary electrodes\n", + "- ❌ May reduce SNR if sources are deep\n", + "\n", + "> 📝 **Note**: For hyperscanning, Laplacian is particularly useful because within-brain volume conduction is the main concern, not between-brain (which is impossible!)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8307174c", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 13: Laplacian Effect - Conceptual Illustration\n", + "# ============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "# Create a simple 2D \"scalp\" with electrode positions\n", + "n_grid = 50\n", + "x = np.linspace(-1, 1, n_grid)\n", + "y = np.linspace(-1, 1, n_grid)\n", + "X, Y = np.meshgrid(x, y)\n", + "\n", + "# Create head mask (circular)\n", + "head_mask = X**2 + Y**2 <= 1\n", + "\n", + "# Panel 1: Original source (diffuse)\n", + "ax = axes[0]\n", + "\n", + "# Single source that spreads\n", + "source_x, source_y = -0.2, 0.3\n", + "sigma = 0.4 # Spread due to volume conduction\n", + "voltage = np.exp(-((X - source_x)**2 + (Y - source_y)**2) / (2 * sigma**2))\n", + "voltage[~head_mask] = np.nan\n", + "\n", + "im = ax.imshow(voltage, extent=[-1, 1, -1, 1], cmap='RdBu_r', \n", + " vmin=-1, vmax=1, origin='lower')\n", + "ax.contour(X, Y, head_mask.astype(float), levels=[0.5], colors='black', linewidths=2)\n", + "ax.set_title('Raw EEG Voltage\\n(Volume Conduction Spread)', fontsize=12, fontweight='bold')\n", + "ax.set_xlabel('Left ← → Right')\n", + "ax.set_ylabel('Posterior ← → Anterior')\n", + "ax.plot(source_x, source_y, 'k*', markersize=15, label='True source')\n", + "ax.legend(loc='lower right')\n", + "ax.set_aspect('equal')\n", + "\n", + "# Panel 2: After Laplacian (more focal)\n", + "ax = axes[1]\n", + "\n", + "sigma_lap = 0.15 # Much more focal after Laplacian\n", + "voltage_lap = np.exp(-((X - source_x)**2 + (Y - source_y)**2) / (2 * sigma_lap**2))\n", + "# Laplacian creates negative surround\n", + "voltage_lap = voltage_lap - 0.3 * np.exp(-((X - source_x)**2 + (Y - source_y)**2) / (2 * 0.4**2))\n", + "voltage_lap[~head_mask] = np.nan\n", + "\n", + "im2 = ax.imshow(voltage_lap, extent=[-1, 1, -1, 1], cmap='RdBu_r',\n", + " vmin=-0.5, vmax=1, origin='lower')\n", + "ax.contour(X, Y, head_mask.astype(float), levels=[0.5], colors='black', linewidths=2)\n", + "ax.set_title('After Surface Laplacian\\n(More Focal)', fontsize=12, fontweight='bold')\n", + "ax.set_xlabel('Left ← → Right')\n", + "ax.set_ylabel('Posterior ← → Anterior')\n", + "ax.plot(source_x, source_y, 'k*', markersize=15, label='True source')\n", + "ax.legend(loc='lower right')\n", + "ax.set_aspect('equal')\n", + "\n", + "# Panel 3: Profile comparison\n", + "ax = axes[2]\n", + "\n", + "# Extract horizontal profile through source\n", + "y_idx = int((source_y + 1) / 2 * n_grid)\n", + "profile_raw = np.exp(-((x - source_x)**2) / (2 * 0.4**2))\n", + "profile_lap = np.exp(-((x - source_x)**2) / (2 * 0.15**2)) - \\\n", + " 0.3 * np.exp(-((x - source_x)**2) / (2 * 0.4**2))\n", + "\n", + "ax.plot(x, profile_raw, linewidth=3, label='Raw EEG', color=PRIMARY_RED)\n", + "ax.plot(x, profile_lap, linewidth=3, label='After Laplacian', color=PRIMARY_BLUE)\n", + "ax.axhline(y=0, color='black', linestyle='--', alpha=0.5)\n", + "ax.axvline(x=source_x, color='gray', linestyle=':', alpha=0.7)\n", + "\n", + "ax.set_xlabel('Position (normalized)', fontsize=11)\n", + "ax.set_ylabel('Amplitude', fontsize=11)\n", + "ax.set_title('Horizontal Profile Through Source', fontsize=12, fontweight='bold')\n", + "ax.legend(fontsize=10)\n", + "ax.set_xlim(-1, 1)\n", + "\n", + "# Add annotation\n", + "ax.annotate('Wide spread\\n(neighbors affected)', xy=(0.3, 0.6), \n", + " xytext=(0.6, 0.8), fontsize=9, color=PRIMARY_RED,\n", + " arrowprops=dict(arrowstyle='->', color=PRIMARY_RED))\n", + "ax.annotate('Focal peak\\n(local only)', xy=(source_x, 1), \n", + " xytext=(source_x - 0.5, 0.7), fontsize=9, color=PRIMARY_BLUE,\n", + " arrowprops=dict(arrowstyle='->', color=PRIMARY_BLUE))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The Laplacian transform sharpens spatial resolution,\")\n", + "print(\"making nearby electrodes more independent and reducing spurious connectivity.\")" + ] + }, + { + "cell_type": "markdown", + "id": "ab8c4724", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 12. Hands-On Exercises\n", + "\n", + "Now it's your turn to explore volume conduction and robust connectivity metrics!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6e218b8c", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 1: Varying Mixing Strength\n", + "# ============================================================================\n", + "# \n", + "# Explore how PLV and PLI change as volume conduction strength increases.\n", + "#\n", + "# TODO:\n", + "# 1. Create a range of mixing strengths from 0.1 to 0.9\n", + "# 2. For each strength, simulate volume conduction and compute PLV and PLI\n", + "# 3. Plot both metrics as a function of mixing strength\n", + "# 4. At what mixing strength does PLV become misleadingly high?\n", + "#\n", + "# Expected outcome: PLV should increase with mixing, PLI should stay low\n", + "# ============================================================================\n", + "\n", + "# Your code here:\n", + "mixing_strengths = np.linspace(0.1, 0.9, 9)\n", + "plv_values = []\n", + "pli_values = []\n", + "\n", + "for strength in mixing_strengths:\n", + " t, s1, s2 = simulate_volume_conduction_scenario(\n", + " fs=fs, duration=5.0, mixing_strength=strength, seed=42\n", + " )\n", + " # Compute PLV\n", + " a1 = scipy.signal.hilbert(s1)\n", + " a2 = scipy.signal.hilbert(s2)\n", + " phase_diff = np.angle(a2) - np.angle(a1)\n", + " plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " plv_values.append(plv)\n", + " \n", + " # Compute PLI\n", + " pli = compute_pli(s1, s2)\n", + " pli_values.append(pli)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "ax.plot(mixing_strengths, plv_values, 'o-', linewidth=2, markersize=8, \n", + " color=PRIMARY_RED, label='PLV (vulnerable)')\n", + "ax.plot(mixing_strengths, pli_values, 's-', linewidth=2, markersize=8,\n", + " color=PRIMARY_BLUE, label='PLI (robust)')\n", + "ax.axhline(y=0.5, color='gray', linestyle='--', alpha=0.5, label='Threshold')\n", + "ax.set_xlabel('Volume Conduction Strength', fontsize=12)\n", + "ax.set_ylabel('Metric Value', fontsize=12)\n", + "ax.set_title('Exercise 1: PLV vs PLI Under Increasing Volume Conduction', \n", + " fontsize=13, fontweight='bold')\n", + "ax.legend(fontsize=11)\n", + "ax.set_ylim(0, 1.05)\n", + "ax.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Observation: PLV increases with mixing strength (false positives!)\")\n", + "print(\"PLI remains low regardless of mixing strength (correct behavior)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1354b095", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 2: Effect of Phase Lag on PLI\n", + "# ============================================================================\n", + "#\n", + "# Explore how different phase lags affect PLI detection.\n", + "#\n", + "# TODO:\n", + "# 1. Create true connectivity scenarios with phase lags from 0 to π\n", + "# 2. Compute PLI for each phase lag\n", + "# 3. At which phase lags is PLI highest? Lowest?\n", + "# 4. Why does PLI = 0 at phase lag = 0 and π?\n", + "# ============================================================================\n", + "\n", + "# Your code here:\n", + "phase_lags = np.linspace(0, np.pi, 19)\n", + "pli_by_lag = []\n", + "\n", + "for lag in phase_lags:\n", + " t, s1, s2 = simulate_true_connectivity_scenario(\n", + " fs=fs, duration=5.0, phase_lag=lag, noise_level=0.1, seed=42\n", + " )\n", + " pli = compute_pli(s1, s2)\n", + " pli_by_lag.append(pli)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "ax.plot(np.degrees(phase_lags), pli_by_lag, 'o-', linewidth=2, markersize=8,\n", + " color=PRIMARY_GREEN)\n", + "ax.axhline(y=0.5, color='gray', linestyle='--', alpha=0.5)\n", + "ax.axvline(x=90, color=SECONDARY_ORANGE, linestyle=':', alpha=0.7, \n", + " label='90° (maximum sensitivity)')\n", + "ax.set_xlabel('Phase Lag (degrees)', fontsize=12)\n", + "ax.set_ylabel('PLI Value', fontsize=12)\n", + "ax.set_title('Exercise 2: PLI Sensitivity to Phase Lag', fontsize=13, fontweight='bold')\n", + "ax.set_xticks([0, 45, 90, 135, 180])\n", + "ax.legend(fontsize=11)\n", + "ax.set_ylim(0, 1.05)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# Annotations\n", + "ax.annotate('0° = Volume conduction zone\\n(PLI blind here)', \n", + " xy=(0, pli_by_lag[0]), xytext=(30, 0.3),\n", + " fontsize=10, arrowprops=dict(arrowstyle='->', color='black'))\n", + "ax.annotate('180° = Anti-phase\\n(PLI also blind)', \n", + " xy=(180, pli_by_lag[-1]), xytext=(140, 0.3),\n", + " fontsize=10, arrowprops=dict(arrowstyle='->', color='black'))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Key insight: PLI is most sensitive around 90° phase lag\")\n", + "print(\"It's blind to 0° (volume conduction) and 180° (anti-phase) relationships\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0d369958", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 3: Mixed Scenario - True Connectivity + Volume Conduction\n", + "# ============================================================================\n", + "#\n", + "# In reality, we often have BOTH true connectivity AND volume conduction.\n", + "# Let's explore how PLI handles this challenging scenario.\n", + "#\n", + "# TODO:\n", + "# 1. Create signals with true phase-lagged connectivity\n", + "# 2. Add varying amounts of volume conduction contamination\n", + "# 3. Compare PLV and PLI as contamination increases\n", + "# ============================================================================\n", + "\n", + "# Create base signals with true connectivity (45° phase lag)\n", + "np.random.seed(42)\n", + "duration = 5.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "freq = 10.0\n", + "noise_level = 0.1\n", + "\n", + "# True sources with phase relationship\n", + "source_A = np.sin(2 * np.pi * freq * t)\n", + "source_B = np.sin(2 * np.pi * freq * t + np.pi/4) # 45° ahead\n", + "\n", + "# Common volume conduction source\n", + "common_source = np.sin(2 * np.pi * freq * t + np.pi/3) # Different phase\n", + "\n", + "# Vary the contamination level\n", + "contamination_levels = np.linspace(0, 1, 11)\n", + "plv_mixed = []\n", + "pli_mixed = []\n", + "\n", + "for contam in contamination_levels:\n", + " # Mix true signal with volume conduction contamination\n", + " signal_A = (1 - contam) * source_A + contam * common_source + noise_level * np.random.randn(len(t))\n", + " signal_B = (1 - contam) * source_B + contam * common_source + noise_level * np.random.randn(len(t))\n", + " \n", + " # Compute metrics\n", + " a1 = scipy.signal.hilbert(signal_A)\n", + " a2 = scipy.signal.hilbert(signal_B)\n", + " phase_diff = np.angle(a2) - np.angle(a1)\n", + " plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " pli = compute_pli(signal_A, signal_B)\n", + " \n", + " plv_mixed.append(plv)\n", + " pli_mixed.append(pli)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "ax.plot(contamination_levels * 100, plv_mixed, 'o-', linewidth=2, markersize=8,\n", + " color=PRIMARY_RED, label='PLV')\n", + "ax.plot(contamination_levels * 100, pli_mixed, 's-', linewidth=2, markersize=8,\n", + " color=PRIMARY_BLUE, label='PLI')\n", + "\n", + "# Reference lines\n", + "ax.axhline(y=plv_mixed[0], color=PRIMARY_RED, linestyle=':', alpha=0.5)\n", + "ax.axhline(y=pli_mixed[0], color=PRIMARY_BLUE, linestyle=':', alpha=0.5)\n", + "\n", + "ax.set_xlabel('Volume Conduction Contamination (%)', fontsize=12)\n", + "ax.set_ylabel('Metric Value', fontsize=12)\n", + "ax.set_title('Exercise 3: True Connectivity Masked by Volume Conduction', \n", + " fontsize=13, fontweight='bold')\n", + "ax.legend(fontsize=11)\n", + "ax.set_ylim(0, 1.05)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# Annotations\n", + "ax.fill_between([0, 30], [0, 0], [1.1, 1.1], color=PRIMARY_GREEN, alpha=0.1, \n", + " label='Low contamination')\n", + "ax.fill_between([70, 100], [0, 0], [1.1, 1.1], color=PRIMARY_RED, alpha=0.1,\n", + " label='High contamination')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Observation: As volume conduction contamination increases:\")\n", + "print(\"• PLV becomes inflated (contamination adds to the signal)\")\n", + "print(\"• PLI decreases as the true phase relationship is masked\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8f113a5c", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 4: Electrode Distance and Volume Conduction\n", + "# ============================================================================\n", + "#\n", + "# Volume conduction effects are stronger for nearby electrodes.\n", + "# Let's quantify this relationship.\n", + "#\n", + "# TODO:\n", + "# 1. Simulate electrodes at varying distances from a source\n", + "# 2. Compute pairwise PLV between a reference electrode and all others\n", + "# 3. How does spurious connectivity relate to electrode distance?\n", + "# ============================================================================\n", + "\n", + "# Simulate a head with one source and electrodes at varying distances\n", + "np.random.seed(42)\n", + "source_position = np.array([0.0, 0.3]) # Source location\n", + "\n", + "# Create electrodes in a line from close to far\n", + "n_test_electrodes = 8\n", + "electrode_x = np.linspace(-0.1, 0.8, n_test_electrodes)\n", + "electrode_y = np.ones(n_test_electrodes) * 0.3\n", + "\n", + "# Reference electrode (closest to source)\n", + "ref_x, ref_y = -0.1, 0.3\n", + "\n", + "# Compute distances from source\n", + "distances = np.sqrt((electrode_x - source_position[0])**2 + \n", + " (electrode_y - source_position[1])**2)\n", + "ref_distance = np.sqrt((ref_x - source_position[0])**2 + \n", + " (ref_y - source_position[1])**2)\n", + "\n", + "# Generate source signal\n", + "t = np.arange(0, 2, 1/fs)\n", + "source = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Generate electrode signals with distance-based attenuation\n", + "noise_level = 0.2\n", + "ref_signal = source / (ref_distance + 0.1) + noise_level * np.random.randn(len(t))\n", + "\n", + "plv_by_distance = []\n", + "for i in range(n_test_electrodes):\n", + " weight = 1 / (distances[i] + 0.1) # Inverse distance weighting\n", + " electrode_signal = source * weight + noise_level * np.random.randn(len(t))\n", + " \n", + " # Compute PLV with reference\n", + " a1 = scipy.signal.hilbert(ref_signal)\n", + " a2 = scipy.signal.hilbert(electrode_signal)\n", + " phase_diff = np.angle(a2) - np.angle(a1)\n", + " plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " plv_by_distance.append(plv)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Electrode layout\n", + "ax = axes[0]\n", + "ax.scatter([source_position[0]], [source_position[1]], s=200, c='gold', \n", + " marker='*', edgecolor='black', linewidths=2, label='Source', zorder=10)\n", + "ax.scatter([ref_x], [ref_y], s=150, c=PRIMARY_BLUE, marker='o', \n", + " edgecolor='black', linewidths=1, label='Reference electrode')\n", + "ax.scatter(electrode_x, electrode_y, s=100, c=distances, cmap='coolwarm',\n", + " edgecolor='black', linewidths=1)\n", + "\n", + "# Draw distance lines\n", + "for i in range(n_test_electrodes):\n", + " ax.plot([source_position[0], electrode_x[i]], \n", + " [source_position[1], electrode_y[i]], \n", + " 'k--', alpha=0.3, linewidth=1)\n", + "\n", + "ax.set_xlim(-0.3, 1)\n", + "ax.set_ylim(-0.1, 0.7)\n", + "ax.set_xlabel('X position', fontsize=11)\n", + "ax.set_ylabel('Y position', fontsize=11)\n", + "ax.set_title('Electrode Layout', fontsize=12, fontweight='bold')\n", + "ax.legend(loc='upper right')\n", + "ax.set_aspect('equal')\n", + "\n", + "# Right: PLV vs distance\n", + "ax = axes[1]\n", + "ax.plot(distances, plv_by_distance, 'o-', linewidth=2, markersize=10, color=PRIMARY_RED)\n", + "ax.set_xlabel('Distance from Source', fontsize=12)\n", + "ax.set_ylabel('PLV with Reference Electrode', fontsize=12)\n", + "ax.set_title('Spurious PLV Decreases with Distance', fontsize=12, fontweight='bold')\n", + "ax.axhline(y=0.5, color='gray', linestyle='--', alpha=0.5, label='Typical threshold')\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Key insight: Nearby electrodes show high spurious connectivity due to volume conduction.\")\n", + "print(\"This is why within-brain connectivity must be interpreted with caution!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3924a551", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 5: Frequency Band Effects\n", + "# ============================================================================\n", + "#\n", + "# Volume conduction affects all frequencies, but SNR varies by band.\n", + "# Let's explore how different frequency bands are affected.\n", + "#\n", + "# TODO:\n", + "# 1. Create volume conduction scenario with broadband source\n", + "# 2. Filter into different frequency bands\n", + "# 3. Compare PLV across bands\n", + "# ============================================================================\n", + "\n", + "from scipy.signal import butter, filtfilt\n", + "\n", + "def bandpass_filter(data, lowcut, highcut, fs, order=4):\n", + " \"\"\"Apply bandpass filter to data.\"\"\"\n", + " nyq = 0.5 * fs\n", + " low = lowcut / nyq\n", + " high = highcut / nyq\n", + " b, a = butter(order, [low, high], btype='band')\n", + " return filtfilt(b, a, data)\n", + "\n", + "# Create volume conduction scenario with multiple frequency components\n", + "np.random.seed(42)\n", + "t = np.arange(0, 10, 1/fs)\n", + "\n", + "# Source with multiple frequency components\n", + "source_multi = (np.sin(2 * np.pi * 4 * t) + # Theta\n", + " 0.8 * np.sin(2 * np.pi * 10 * t) + # Alpha\n", + " 0.5 * np.sin(2 * np.pi * 20 * t) + # Beta\n", + " 0.3 * np.sin(2 * np.pi * 35 * t)) # Gamma\n", + "\n", + "# Volume conduction to two electrodes\n", + "noise_level = 0.3\n", + "elec_1 = source_multi + noise_level * np.random.randn(len(t))\n", + "elec_2 = 0.7 * source_multi + noise_level * np.random.randn(len(t))\n", + "\n", + "# Define frequency bands\n", + "bands = {\n", + " 'Theta (4-8 Hz)': (4, 8),\n", + " 'Alpha (8-13 Hz)': (8, 13),\n", + " 'Beta (13-30 Hz)': (13, 30),\n", + " 'Gamma (30-45 Hz)': (30, 45)\n", + "}\n", + "\n", + "plv_by_band = {}\n", + "pli_by_band = {}\n", + "\n", + "for band_name, (low, high) in bands.items():\n", + " # Filter both signals\n", + " filtered_1 = bandpass_filter(elec_1, low, high, fs)\n", + " filtered_2 = bandpass_filter(elec_2, low, high, fs)\n", + " \n", + " # Compute PLV\n", + " a1 = scipy.signal.hilbert(filtered_1)\n", + " a2 = scipy.signal.hilbert(filtered_2)\n", + " phase_diff = np.angle(a2) - np.angle(a1)\n", + " plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " pli = compute_pli(filtered_1, filtered_2)\n", + " \n", + " plv_by_band[band_name] = plv\n", + " pli_by_band[band_name] = pli\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "\n", + "x = np.arange(len(bands))\n", + "width = 0.35\n", + "\n", + "bars1 = ax.bar(x - width/2, list(plv_by_band.values()), width, \n", + " label='PLV (vulnerable)', color=PRIMARY_RED, alpha=0.8)\n", + "bars2 = ax.bar(x + width/2, list(pli_by_band.values()), width,\n", + " label='PLI (robust)', color=PRIMARY_BLUE, alpha=0.8)\n", + "\n", + "ax.set_ylabel('Metric Value', fontsize=12)\n", + "ax.set_xlabel('Frequency Band', fontsize=12)\n", + "ax.set_title('Exercise 5: Volume Conduction Effects Across Frequency Bands', \n", + " fontsize=13, fontweight='bold')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(list(bands.keys()), fontsize=10)\n", + "ax.legend(fontsize=11)\n", + "ax.set_ylim(0, 1.1)\n", + "ax.axhline(y=0.5, color='gray', linestyle='--', alpha=0.5)\n", + "ax.grid(True, alpha=0.3, axis='y')\n", + "\n", + "# Add value labels\n", + "for bar in bars1:\n", + " height = bar.get_height()\n", + " ax.text(bar.get_x() + bar.get_width()/2., height + 0.02,\n", + " f'{height:.2f}', ha='center', va='bottom', fontsize=9)\n", + "for bar in bars2:\n", + " height = bar.get_height()\n", + " ax.text(bar.get_x() + bar.get_width()/2., height + 0.02,\n", + " f'{height:.2f}', ha='center', va='bottom', fontsize=9)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Observation: PLV shows high values across ALL bands due to volume conduction.\")\n", + "print(\"PLI remains low, correctly indicating no true phase-lagged connectivity.\")" + ] + }, + { + "cell_type": "markdown", + "id": "07f992c1", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 13. Summary\n", + "\n", + "### What We Learned\n", + "\n", + "| Concept | Key Insight |\n", + "|---------|-------------|\n", + "| **Volume Conduction** | Brain activity spreads instantaneously through tissue, causing multiple electrodes to record the same source |\n", + "| **The Problem** | This creates **spurious connectivity** that is NOT due to neural communication |\n", + "| **Zero-Lag Signature** | Volume conduction produces **zero time lag** and **zero phase difference** |\n", + "| **PLV Vulnerability** | Standard PLV cannot distinguish true from spurious connectivity |\n", + "| **PLI Robustness** | Phase Lag Index ignores zero-lag relationships, making it robust to volume conduction |\n", + "| **Imaginary Coherence** | Uses only the imaginary part of coherence, which is zero for volume conduction |\n", + "| **Spatial Filtering** | Laplacian transform reduces spatial spread before connectivity analysis |\n", + "\n", + "### Practical Guidelines\n", + "\n", + "1. **Always consider volume conduction** when analyzing EEG connectivity\n", + "2. **Use robust metrics** (PLI, wPLI, ImCoh) for within-brain connectivity\n", + "3. **Distant electrode pairs** are less affected than nearby pairs\n", + "4. **Hyperscanning advantage**: Between-brain connectivity is immune to volume conduction!\n", + "5. **Combine approaches**: Use both robust metrics AND spatial filtering for best results\n", + "\n", + "### Coming Up Next\n", + "\n", + "In the following notebooks, we'll implement each of these robust metrics in detail:\n", + "- **F01**: Spectral Coherence (and its imaginary part)\n", + "- **G01**: Phase Locking Value (the vulnerable baseline)\n", + "- **G02**: Phase Lag Index (robust alternative)\n", + "- **G03**: Weighted Phase Lag Index (even more robust)" + ] + }, + { + "cell_type": "markdown", + "id": "ece371ae", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 14. Discussion Questions\n", + "\n", + "1. **Why is volume conduction particularly problematic for EEG compared to other neuroimaging methods like fMRI?**\n", + " \n", + " *Hint: Think about the physical principles of signal propagation and spatial resolution.*\n", + "\n", + "2. **In hyperscanning studies, why do we say that between-brain connectivity is \"immune\" to volume conduction?**\n", + " \n", + " *Hint: Consider the physical distance and the nature of electromagnetic field propagation.*\n", + "\n", + "3. **PLI is blind to 0° and 180° phase relationships. Could there be TRUE neural connectivity with exactly 0° phase lag? How would we detect it?**\n", + " \n", + " *Hint: Think about what could cause true zero-lag connectivity and whether we can distinguish it from volume conduction.*\n", + "\n", + "4. **If you were designing a hyperscanning experiment, would you be more concerned about volume conduction for within-brain or between-brain connectivity? Why?**\n", + " \n", + " *Hint: Consider where volume conduction CAN and CANNOT occur.*\n", + "\n", + "5. **Some researchers argue that using only robust metrics like PLI might cause us to MISS real connectivity. Do you agree? What's the trade-off?**\n", + " \n", + " *Hint: Think about sensitivity vs. specificity in statistics.*\n", + "\n", + "---\n", + "\n", + "**Notebook completed!** 🎉\n", + "\n", + "You now understand why volume conduction is the central problem in EEG connectivity analysis and how to address it using robust metrics like PLI. This knowledge is essential for all subsequent connectivity notebooks in this workshop." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/C_connectivity_concepts/C02_connectivity_matrices.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/C_connectivity_concepts/C02_connectivity_matrices.ipynb new file mode 100644 index 0000000..7a11967 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/C_connectivity_concepts/C02_connectivity_matrices.ipynb @@ -0,0 +1,2866 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "41bdf571", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# IMPORTS AND SETUP\n", + "# ============================================================================\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Tuple, Optional, List, Dict, Any\n", + "\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "import scipy.signal\n", + "from scipy.signal import butter, filtfilt\n", + "\n", + "# Add src to path for local imports\n", + "sys.path.insert(0, str(Path.cwd().parents[2]))\n", + "\n", + "from src.colors import COLORS\n", + "\n", + "# Color aliases\n", + "PRIMARY_BLUE = COLORS[\"signal_1\"] # Sky Blue\n", + "PRIMARY_RED = COLORS[\"signal_2\"] # Rose Pink\n", + "PRIMARY_GREEN = COLORS[\"signal_3\"] # Sage Green\n", + "SECONDARY_ORANGE = COLORS[\"signal_4\"] # Golden\n", + "SECONDARY_PURPLE = COLORS[\"high_sync\"] # Purple\n", + "SUBJECT_1 = COLORS[\"signal_1\"] # For hyperscanning\n", + "SUBJECT_2 = COLORS[\"signal_2\"] # For hyperscanning\n", + "\n", + "# Sampling frequency\n", + "fs = 256 # Hz\n", + "\n", + "# Random seed for reproducibility\n", + "np.random.seed(42)\n", + "\n", + "print(\"✓ Imports successful!\")\n", + "print(f\"NumPy version: {np.__version__}\")" + ] + }, + { + "cell_type": "markdown", + "id": "79ac644b", + "metadata": {}, + "source": [ + "---\n", + "\n", + "# C02: Connectivity Matrices\n", + "\n", + "## From Pairs to Networks\n", + "\n", + "**Duration**: ~55 minutes\n", + "\n", + "**Prerequisites**: C01 (Volume Conduction), B02 (Working with Phase)\n", + "\n", + "---\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "1. 🧩 Understand connectivity matrices as organized pairwise measurements\n", + "2. 🔧 Construct connectivity matrices from multi-channel data\n", + "3. 📊 Visualize connectivity with heatmaps and circular plots\n", + "4. 🧠 Handle hyperscanning matrices (within + between participants)\n", + "5. 📈 Extract network-level summary statistics" + ] + }, + { + "cell_type": "markdown", + "id": "35fc03ee", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 1. Introduction — From Pairs to Networks\n", + "\n", + "So far in this workshop, we've focused on connectivity between **two signals** — a single pair of electrodes. We computed PLV, coherence, or correlation between signal A and signal B.\n", + "\n", + "But real EEG data has **many channels**:\n", + "- Clinical EEG: 19-21 electrodes\n", + "- Research EEG: 32, 64, or 128+ electrodes\n", + "- **Hyperscanning**: 2 participants × n electrodes = even more!\n", + "\n", + "To understand brain networks, we need to analyze **all pairs systematically**. This is where **connectivity matrices** come in.\n", + "\n", + "### What is a Connectivity Matrix?\n", + "\n", + "A connectivity matrix is simply an organized way to store pairwise connectivity values:\n", + "\n", + "- **Rows and columns** represent channels (electrodes)\n", + "- **Entry (i, j)** contains the connectivity between channel i and channel j\n", + "- The result is a **square matrix**: n_channels × n_channels\n", + "\n", + "This organized structure is the foundation for:\n", + "- **Network neuroscience** and graph theory analysis\n", + "- Comparing connectivity across conditions, participants, or groups\n", + "- Identifying \"hubs\" (highly connected regions)\n", + "- Statistical analysis of connectivity patterns" + ] + }, + { + "cell_type": "markdown", + "id": "ca10b5ed", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 2. Anatomy of a Connectivity Matrix\n", + "\n", + "Let's understand the structure of a connectivity matrix in detail:\n", + "\n", + "### Key Properties\n", + "\n", + "| Property | Description |\n", + "|----------|-------------|\n", + "| **Shape** | n_channels × n_channels (square) |\n", + "| **Diagonal** | M[i, i] = self-connectivity (often NaN or 1) |\n", + "| **Symmetry** | For undirected metrics: M[i, j] = M[j, i] |\n", + "| **Values** | Depend on metric (0-1 for PLV, -1 to +1 for correlation) |\n", + "\n", + "### Symmetric vs Asymmetric\n", + "\n", + "- **Symmetric metrics** (most common): PLV, coherence, correlation\n", + " - \"Connectivity from A to B\" = \"Connectivity from B to A\"\n", + " - Matrix is symmetric: M = M.T\n", + " \n", + "- **Asymmetric metrics** (directed): Granger causality, transfer entropy\n", + " - \"A causes B\" ≠ \"B causes A\"\n", + " - Matrix is NOT symmetric\n", + "\n", + "### The Diagonal\n", + "\n", + "The diagonal entries M[i, i] represent \"self-connectivity\" — the connectivity of a channel with itself. This is:\n", + "- **Meaningless** for most metrics (PLV of a signal with itself = 1 always)\n", + "- Usually set to **NaN** to exclude from analysis\n", + "- Sometimes set to **0** or **1** depending on convention" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7d8773d0", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 1: Structure of a Connectivity Matrix\n", + "# ============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "\n", + "# Create example matrix\n", + "channel_names = ['F3', 'F4', 'C3', 'C4', 'P3', 'P4']\n", + "n = len(channel_names)\n", + "\n", + "# Generate example values (symmetric)\n", + "np.random.seed(42)\n", + "example_matrix = np.random.uniform(0.2, 0.8, (n, n))\n", + "example_matrix = (example_matrix + example_matrix.T) / 2 # Make symmetric\n", + "np.fill_diagonal(example_matrix, np.nan) # Diagonal = NaN\n", + "\n", + "# Plot heatmap\n", + "im = ax.imshow(example_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "\n", + "# Add colorbar\n", + "cbar = plt.colorbar(im, ax=ax, shrink=0.8)\n", + "cbar.set_label('Connectivity (PLV)', fontsize=11)\n", + "\n", + "# Labels\n", + "ax.set_xticks(range(n))\n", + "ax.set_yticks(range(n))\n", + "ax.set_xticklabels(channel_names, fontsize=11)\n", + "ax.set_yticklabels(channel_names, fontsize=11)\n", + "ax.set_xlabel('Channel j', fontsize=12)\n", + "ax.set_ylabel('Channel i', fontsize=12)\n", + "ax.set_title('Structure of a Connectivity Matrix', fontsize=14, fontweight='bold')\n", + "\n", + "# Annotate values\n", + "for i in range(n):\n", + " for j in range(n):\n", + " if i == j:\n", + " ax.text(j, i, 'NaN', ha='center', va='center', fontsize=9, color='white')\n", + " else:\n", + " ax.text(j, i, f'{example_matrix[i, j]:.2f}', ha='center', va='center', \n", + " fontsize=9, color='white' if example_matrix[i, j] > 0.5 else 'black')\n", + "\n", + "# Highlight diagonal\n", + "for i in range(n):\n", + " rect = plt.Rectangle((i-0.5, i-0.5), 1, 1, fill=False, \n", + " edgecolor='white', linewidth=2, linestyle='--')\n", + " ax.add_patch(rect)\n", + "\n", + "# Add annotations\n", + "ax.annotate('Diagonal\\n(self-connectivity)', xy=(0, 0), xytext=(-2.5, 1),\n", + " fontsize=10, ha='center',\n", + " arrowprops=dict(arrowstyle='->', color='white', lw=1.5),\n", + " color='black', bbox=dict(boxstyle='round', facecolor='white', alpha=0.8))\n", + "\n", + "ax.annotate('M[i,j] = M[j,i]\\n(symmetric)', xy=(4, 1), xytext=(7, 0),\n", + " fontsize=10, ha='center',\n", + " arrowprops=dict(arrowstyle='->', color='black', lw=1.5),\n", + " color='black', bbox=dict(boxstyle='round', facecolor='white', alpha=0.8))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Matrix shape: {example_matrix.shape}\")\n", + "print(f\"Number of channels: {n}\")\n", + "print(f\"Number of unique pairs: {n * (n - 1) // 2}\")" + ] + }, + { + "cell_type": "markdown", + "id": "a0a1e504", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 3. Computing a Connectivity Matrix\n", + "\n", + "Now let's implement the algorithm to compute a connectivity matrix from multi-channel data.\n", + "\n", + "### The Algorithm\n", + "\n", + "1. **Initialize** an n × n matrix with NaN or zeros\n", + "2. **Loop** over all unique pairs (i, j) where i < j\n", + "3. **Compute** the connectivity metric for each pair\n", + "4. **Fill** both M[i, j] and M[j, i] (for symmetric metrics)\n", + "5. **Set** diagonal to NaN\n", + "\n", + "### Efficiency Consideration\n", + "\n", + "The number of unique pairs grows quickly:\n", + "\n", + "| Channels | Unique Pairs | Formula |\n", + "|----------|--------------|--------|\n", + "| 6 | 15 | 6×5/2 |\n", + "| 19 | 171 | 19×18/2 |\n", + "| 64 | 2,016 | 64×63/2 |\n", + "| 128 | 8,128 | 128×127/2 |\n", + "\n", + "For hyperscanning (2 × 64 channels), that's **8,128** pairs just for between-participant connectivity!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "733c6fda", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTIONS 1-3: Helper Functions for Connectivity Matrix\n", + "# ============================================================================\n", + "\n", + "def get_n_pairs(n_channels: int) -> int:\n", + " \"\"\"\n", + " Calculate the number of unique channel pairs.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_channels : int\n", + " Number of channels.\n", + " \n", + " Returns\n", + " -------\n", + " int\n", + " Number of unique pairs: n(n-1)/2\n", + " \"\"\"\n", + " return n_channels * (n_channels - 1) // 2\n", + "\n", + "\n", + "def get_pair_indices(n_channels: int) -> List[Tuple[int, int]]:\n", + " \"\"\"\n", + " Get list of all unique channel pair indices.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_channels : int\n", + " Number of channels.\n", + " \n", + " Returns\n", + " -------\n", + " List[Tuple[int, int]]\n", + " List of (i, j) tuples where i < j.\n", + " \"\"\"\n", + " pairs = []\n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " pairs.append((i, j))\n", + " return pairs\n", + "\n", + "\n", + "def compute_plv_pair(\n", + " signal_1: NDArray[np.floating],\n", + " signal_2: NDArray[np.floating]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Phase Locking Value between two signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal_1 : NDArray[np.floating]\n", + " First signal.\n", + " signal_2 : NDArray[np.floating]\n", + " Second signal.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " PLV value between 0 and 1.\n", + " \"\"\"\n", + " # Get instantaneous phases\n", + " analytic_1 = scipy.signal.hilbert(signal_1)\n", + " analytic_2 = scipy.signal.hilbert(signal_2)\n", + " \n", + " phase_1 = np.angle(analytic_1)\n", + " phase_2 = np.angle(analytic_2)\n", + " \n", + " # Compute phase difference\n", + " phase_diff = phase_1 - phase_2\n", + " \n", + " # PLV = |mean(exp(i * phase_diff))|\n", + " plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " \n", + " return float(plv)\n", + "\n", + "\n", + "print(\"Helper functions defined:\")\n", + "print(f\"• get_n_pairs(n_channels) → number of unique pairs\")\n", + "print(f\"• get_pair_indices(n_channels) → list of (i, j) pairs\")\n", + "print(f\"• compute_plv_pair(signal_1, signal_2) → PLV value\")\n", + "print()\n", + "print(f\"Example: 6 channels → {get_n_pairs(6)} pairs\")\n", + "print(f\"Example: 64 channels → {get_n_pairs(64)} pairs\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "661f26d3", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 4: Compute Full Connectivity Matrix\n", + "# ============================================================================\n", + "\n", + "def bandpass_filter(\n", + " data: NDArray[np.floating],\n", + " lowcut: float,\n", + " highcut: float,\n", + " fs: int,\n", + " order: int = 4\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Apply bandpass filter to data.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.floating]\n", + " Input data, shape (n_channels, n_samples) or (n_samples,).\n", + " lowcut : float\n", + " Low cutoff frequency in Hz.\n", + " highcut : float\n", + " High cutoff frequency in Hz.\n", + " fs : int\n", + " Sampling frequency in Hz.\n", + " order : int, optional\n", + " Filter order. Default is 4.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Filtered data, same shape as input.\n", + " \"\"\"\n", + " nyq = 0.5 * fs\n", + " low = lowcut / nyq\n", + " high = highcut / nyq\n", + " b, a = butter(order, [low, high], btype='band')\n", + " \n", + " if data.ndim == 1:\n", + " return filtfilt(b, a, data)\n", + " else:\n", + " return np.array([filtfilt(b, a, ch) for ch in data])\n", + "\n", + "\n", + "def compute_connectivity_matrix(\n", + " data: NDArray[np.floating],\n", + " fs: int,\n", + " band: Tuple[float, float],\n", + " metric: str = \"plv\"\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Compute pairwise connectivity matrix from multi-channel data.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.floating]\n", + " Multi-channel data, shape (n_channels, n_samples).\n", + " fs : int\n", + " Sampling frequency in Hz.\n", + " band : Tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " metric : str, optional\n", + " Connectivity metric. Currently only \"plv\" supported. Default is \"plv\".\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Connectivity matrix, shape (n_channels, n_channels).\n", + " Diagonal is NaN. Matrix is symmetric for PLV.\n", + " \"\"\"\n", + " n_channels = data.shape[0]\n", + " \n", + " # Filter data to frequency band\n", + " data_filtered = bandpass_filter(data, band[0], band[1], fs)\n", + " \n", + " # Initialize matrix with NaN\n", + " matrix = np.full((n_channels, n_channels), np.nan)\n", + " \n", + " # Compute connectivity for all unique pairs\n", + " pairs = get_pair_indices(n_channels)\n", + " \n", + " for i, j in pairs:\n", + " if metric == \"plv\":\n", + " value = compute_plv_pair(data_filtered[i], data_filtered[j])\n", + " else:\n", + " raise ValueError(f\"Unknown metric: {metric}\")\n", + " \n", + " # Fill both entries (symmetric)\n", + " matrix[i, j] = value\n", + " matrix[j, i] = value\n", + " \n", + " return matrix\n", + "\n", + "\n", + "print(\"Main function defined:\")\n", + "print(\"• compute_connectivity_matrix(data, fs, band, metric) → n×n matrix\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4fc2b99c", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 2: Compute and Display a Real Connectivity Matrix\n", + "# ============================================================================\n", + "\n", + "# Generate synthetic 6-channel data with realistic connectivity structure\n", + "np.random.seed(42)\n", + "duration = 5.0 # seconds\n", + "n_samples = int(duration * fs)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Create 3 INDEPENDENT sources with different random phase dynamics\n", + "# This ensures cross-cluster PLV is LOW (no shared source)\n", + "source_1 = np.sin(2 * np.pi * 10 * t + np.cumsum(0.1 * np.random.randn(n_samples)))\n", + "source_2 = np.sin(2 * np.pi * 10 * t + np.cumsum(0.1 * np.random.randn(n_samples)))\n", + "source_3 = np.sin(2 * np.pi * 10 * t + np.cumsum(0.1 * np.random.randn(n_samples)))\n", + "\n", + "# Mix sources into 6 channels\n", + "# Channels 0-1: share source_1 (high PLV expected)\n", + "# Channels 2-3: share source_2 (high PLV expected)\n", + "# Channels 4-5: share source_3 (high PLV expected)\n", + "# Cross-cluster: independent sources → low PLV\n", + "noise_level = 0.5\n", + "data = np.zeros((6, n_samples))\n", + "data[0] = source_1 + noise_level * np.random.randn(n_samples)\n", + "data[1] = source_1 + noise_level * np.random.randn(n_samples)\n", + "data[2] = source_2 + noise_level * np.random.randn(n_samples)\n", + "data[3] = source_2 + noise_level * np.random.randn(n_samples)\n", + "data[4] = source_3 + noise_level * np.random.randn(n_samples)\n", + "data[5] = source_3 + noise_level * np.random.randn(n_samples)\n", + "\n", + "# Compute connectivity matrix in alpha band\n", + "alpha_band = (8, 13)\n", + "conn_matrix = compute_connectivity_matrix(data, fs, alpha_band, metric=\"plv\")\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(9, 7))\n", + "\n", + "channel_names = ['Ch1', 'Ch2', 'Ch3', 'Ch4', 'Ch5', 'Ch6']\n", + "im = ax.imshow(conn_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "\n", + "cbar = plt.colorbar(im, ax=ax, shrink=0.8)\n", + "cbar.set_label('PLV', fontsize=11)\n", + "\n", + "ax.set_xticks(range(6))\n", + "ax.set_yticks(range(6))\n", + "ax.set_xticklabels(channel_names, fontsize=11)\n", + "ax.set_yticklabels(channel_names, fontsize=11)\n", + "ax.set_xlabel('Channel', fontsize=12)\n", + "ax.set_ylabel('Channel', fontsize=12)\n", + "ax.set_title('PLV Connectivity Matrix (Alpha Band: 8-13 Hz)', fontsize=14, fontweight='bold')\n", + "\n", + "# Annotate values\n", + "for i in range(6):\n", + " for j in range(6):\n", + " if i == j:\n", + " ax.text(j, i, 'NaN', ha='center', va='center', fontsize=9, color='white')\n", + " else:\n", + " val = conn_matrix[i, j]\n", + " ax.text(j, i, f'{val:.2f}', ha='center', va='center', \n", + " fontsize=9, color='white' if val > 0.5 else 'black')\n", + "\n", + "# Highlight clusters with boxes\n", + "for start in [0, 2, 4]:\n", + " rect = plt.Rectangle((start-0.5, start-0.5), 2, 2, fill=False,\n", + " edgecolor=PRIMARY_GREEN, linewidth=3)\n", + " ax.add_patch(rect)\n", + "\n", + "ax.text(6.5, 0.5, 'Cluster 1\\n(Ch1-Ch2)', fontsize=10, color=PRIMARY_GREEN, va='center')\n", + "ax.text(6.5, 2.5, 'Cluster 2\\n(Ch3-Ch4)', fontsize=10, color=PRIMARY_GREEN, va='center')\n", + "ax.text(6.5, 4.5, 'Cluster 3\\n(Ch5-Ch6)', fontsize=10, color=PRIMARY_GREEN, va='center')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Channels sharing the same source show high PLV (bright yellow)!\")\n", + "print(\"Cross-cluster connectivity is lower (darker colors).\")" + ] + }, + { + "cell_type": "markdown", + "id": "8e5283cf", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 4. Visualizing Connectivity Matrices\n", + "\n", + "The heatmap is the most common way to visualize connectivity matrices. Let's create a reusable plotting function with all the best practices." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5a58160c", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 5: Plot Connectivity Matrix\n", + "# ============================================================================\n", + "\n", + "def plot_connectivity_matrix(\n", + " matrix: NDArray[np.floating],\n", + " channel_names: Optional[List[str]] = None,\n", + " ax: Optional[plt.Axes] = None,\n", + " cmap: str = \"viridis\",\n", + " vmin: Optional[float] = None,\n", + " vmax: Optional[float] = None,\n", + " mask_diagonal: bool = True,\n", + " title: Optional[str] = None,\n", + " show_values: bool = False\n", + ") -> plt.Axes:\n", + " \"\"\"\n", + " Plot connectivity matrix as a heatmap.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Connectivity matrix, shape (n_channels, n_channels).\n", + " channel_names : Optional[List[str]], optional\n", + " Channel labels. Default is None (uses indices).\n", + " ax : Optional[plt.Axes], optional\n", + " Matplotlib axes. If None, creates new figure.\n", + " cmap : str, optional\n", + " Colormap name. Default is \"viridis\".\n", + " vmin : Optional[float], optional\n", + " Minimum value for colormap. Default is None (auto).\n", + " vmax : Optional[float], optional\n", + " Maximum value for colormap. Default is None (auto).\n", + " mask_diagonal : bool, optional\n", + " Whether to mask diagonal with gray. Default is True.\n", + " title : Optional[str], optional\n", + " Plot title. Default is None.\n", + " show_values : bool, optional\n", + " Whether to annotate cells with values. Default is False.\n", + " \n", + " Returns\n", + " -------\n", + " plt.Axes\n", + " The matplotlib axes with the plot.\n", + " \"\"\"\n", + " n_channels = matrix.shape[0]\n", + " \n", + " if ax is None:\n", + " fig, ax = plt.subplots(figsize=(8, 7))\n", + " \n", + " if channel_names is None:\n", + " channel_names = [str(i) for i in range(n_channels)]\n", + " \n", + " # Create masked array for diagonal\n", + " plot_matrix = matrix.copy()\n", + " if mask_diagonal:\n", + " np.fill_diagonal(plot_matrix, np.nan)\n", + " \n", + " # Plot heatmap\n", + " im = ax.imshow(plot_matrix, cmap=cmap, vmin=vmin, vmax=vmax, aspect='equal')\n", + " \n", + " # Colorbar\n", + " cbar = plt.colorbar(im, ax=ax, shrink=0.8)\n", + " cbar.set_label('Connectivity', fontsize=11)\n", + " \n", + " # Labels\n", + " ax.set_xticks(range(n_channels))\n", + " ax.set_yticks(range(n_channels))\n", + " ax.set_xticklabels(channel_names, fontsize=10, rotation=45, ha='right')\n", + " ax.set_yticklabels(channel_names, fontsize=10)\n", + " \n", + " if title:\n", + " ax.set_title(title, fontsize=13, fontweight='bold')\n", + " \n", + " # Show values if requested\n", + " if show_values and n_channels <= 10:\n", + " for i in range(n_channels):\n", + " for j in range(n_channels):\n", + " if not np.isnan(plot_matrix[i, j]):\n", + " val = plot_matrix[i, j]\n", + " color = 'white' if val > (vmax or 0.5) / 2 else 'black'\n", + " ax.text(j, i, f'{val:.2f}', ha='center', va='center',\n", + " fontsize=8, color=color)\n", + " \n", + " return ax\n", + "\n", + "\n", + "print(\"Function defined: plot_connectivity_matrix()\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "71471237", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 3: Colormap Comparison\n", + "# ============================================================================\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 12))\n", + "\n", + "cmaps = ['viridis', 'plasma', 'RdBu_r', 'cividis']\n", + "titles = [\n", + " 'Viridis (sequential)',\n", + " 'Plasma (sequential)', \n", + " 'RdBu (diverging - for signed metrics)',\n", + " 'Cividis (colorblind-friendly)'\n", + "]\n", + "\n", + "for ax, cmap, title in zip(axes.flat, cmaps, titles):\n", + " plot_connectivity_matrix(conn_matrix, channel_names, ax=ax, \n", + " cmap=cmap, vmin=0, vmax=1, title=title)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Tips for choosing colormaps:\")\n", + "print(\"• Sequential (viridis, plasma): for metrics in [0, 1] like PLV\")\n", + "print(\"• Diverging (RdBu): for signed metrics like correlation [-1, 1]\")\n", + "print(\"• Cividis: accessible for colorblind viewers\")" + ] + }, + { + "cell_type": "markdown", + "id": "e0b74b2d", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 5. Circular Connectivity Plots\n", + "\n", + "Heatmaps show all values but can hide **network structure**. Circular (chord) plots offer an alternative view:\n", + "\n", + "- Channels arranged in a **circle**\n", + "- **Lines** connect pairs with significant connectivity\n", + "- Line **thickness/color** indicates strength\n", + "- Better for seeing **hubs** (highly connected nodes) and **patterns**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ace849d2", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 6: Circular Connectivity Plot\n", + "# ============================================================================\n", + "\n", + "def plot_circular_connectivity(\n", + " matrix: NDArray[np.floating],\n", + " channel_names: List[str],\n", + " threshold: Optional[float] = None,\n", + " ax: Optional[plt.Axes] = None,\n", + " linewidth_scale: float = 3.0,\n", + " node_colors: Optional[List[str]] = None,\n", + " title: Optional[str] = None\n", + ") -> plt.Axes:\n", + " \"\"\"\n", + " Plot connectivity as a circular graph.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Connectivity matrix, shape (n_channels, n_channels).\n", + " channel_names : List[str]\n", + " Channel labels.\n", + " threshold : Optional[float], optional\n", + " Only show connections above this value. Default is None (show all).\n", + " ax : Optional[plt.Axes], optional\n", + " Matplotlib axes. If None, creates new figure.\n", + " linewidth_scale : float, optional\n", + " Scale factor for line width. Default is 3.0.\n", + " node_colors : Optional[List[str]], optional\n", + " Colors for each node. Default is None (uses primary blue).\n", + " title : Optional[str], optional\n", + " Plot title. Default is None.\n", + " \n", + " Returns\n", + " -------\n", + " plt.Axes\n", + " The matplotlib axes with the plot.\n", + " \"\"\"\n", + " n_channels = len(channel_names)\n", + " \n", + " if ax is None:\n", + " fig, ax = plt.subplots(figsize=(10, 10), subplot_kw={'projection': 'polar'})\n", + " \n", + " if node_colors is None:\n", + " node_colors = [PRIMARY_BLUE] * n_channels\n", + " \n", + " # Calculate node positions (evenly spaced around circle)\n", + " angles = np.linspace(0, 2 * np.pi, n_channels, endpoint=False)\n", + " \n", + " # Plot nodes\n", + " for i, (angle, name, color) in enumerate(zip(angles, channel_names, node_colors)):\n", + " ax.scatter(angle, 1, s=300, c=color, zorder=5, edgecolors='white', linewidths=2)\n", + " # Label outside the circle\n", + " label_angle = angle\n", + " ha = 'left' if 0 <= angle < np.pi else 'right'\n", + " ax.text(angle, 1.15, name, ha='center', va='center', fontsize=11, fontweight='bold')\n", + " \n", + " # Plot connections (two passes: weak in grey, strong in color)\n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " value = matrix[i, j]\n", + " if np.isnan(value):\n", + " continue\n", + " \n", + " # Draw arc between nodes\n", + " angle_i, angle_j = angles[i], angles[j]\n", + " \n", + " # Create arc using bezier-like curve\n", + " n_points = 50\n", + " t_vals = np.linspace(0, 1, n_points)\n", + " \n", + " # Control point at center (r=0)\n", + " r_vals = 1 - 0.5 * np.sin(np.pi * t_vals) # Curve inward\n", + " angle_vals = angle_i + t_vals * (angle_j - angle_i)\n", + " \n", + " # Adjust for shortest path\n", + " if abs(angle_j - angle_i) > np.pi:\n", + " if angle_j > angle_i:\n", + " angle_vals = angle_i + t_vals * (angle_j - 2*np.pi - angle_i)\n", + " else:\n", + " angle_vals = angle_i + t_vals * (angle_j + 2*np.pi - angle_i)\n", + " \n", + " # Determine if connection is strong (above threshold)\n", + " is_strong = threshold is None or value >= threshold\n", + " \n", + " if is_strong:\n", + " # Strong connections: colored with variable width/alpha\n", + " lw = value * linewidth_scale\n", + " alpha = 0.3 + 0.7 * value\n", + " color = SECONDARY_PURPLE\n", + " zorder = 2\n", + " else:\n", + " # Weak connections: light grey, thin, subtle\n", + " lw = 0.8\n", + " alpha = 0.3\n", + " color = '#CCCCCC'\n", + " zorder = 1\n", + " \n", + " ax.plot(angle_vals, r_vals, color=color, \n", + " linewidth=lw, alpha=alpha, zorder=zorder)\n", + " \n", + " # Clean up polar plot\n", + " ax.set_ylim(0, 1.3)\n", + " ax.set_yticks([])\n", + " ax.set_xticks([])\n", + " ax.spines['polar'].set_visible(False)\n", + " \n", + " if title:\n", + " ax.set_title(title, fontsize=13, fontweight='bold', pad=20)\n", + " \n", + " return ax\n", + "\n", + "\n", + "print(\"Function defined: plot_circular_connectivity()\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "44a5716e", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 4: Circular Plot Example\n", + "# ============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 10), subplot_kw={'projection': 'polar'})\n", + "\n", + "# Color by \"hemisphere\" (simulated)\n", + "node_colors = [PRIMARY_BLUE, PRIMARY_BLUE, PRIMARY_RED, PRIMARY_RED, PRIMARY_GREEN, PRIMARY_GREEN]\n", + "\n", + "plot_circular_connectivity(\n", + " conn_matrix, \n", + " channel_names,\n", + " threshold=0.5, # Only show strong connections\n", + " ax=ax,\n", + " node_colors=node_colors,\n", + " title='Circular Connectivity Plot (threshold > 0.5)'\n", + ")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Strong connections (PLV > 0.5) are visible as arcs.\")\n", + "print(\"Node colors could represent brain regions or hemispheres.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "68e9eb83", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 5: Heatmap vs Circular - Side by Side\n", + "# ============================================================================\n", + "\n", + "fig = plt.figure(figsize=(16, 7))\n", + "\n", + "# Left: Heatmap\n", + "ax1 = fig.add_subplot(121)\n", + "plot_connectivity_matrix(conn_matrix, channel_names, ax=ax1, \n", + " vmin=0, vmax=1, title='Heatmap View', show_values=True)\n", + "\n", + "# Right: Circular\n", + "ax2 = fig.add_subplot(122, projection='polar')\n", + "node_colors = [PRIMARY_BLUE, PRIMARY_BLUE, PRIMARY_RED, PRIMARY_RED, PRIMARY_GREEN, PRIMARY_GREEN]\n", + "plot_circular_connectivity(conn_matrix, channel_names, threshold=0.5,\n", + " ax=ax2, node_colors=node_colors, title='Circular View')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Choose your visualization based on your message:\")\n", + "print(\"• Heatmap: Show exact values, compare all pairs\")\n", + "print(\"• Circular: Show network structure, identify clusters\")" + ] + }, + { + "cell_type": "markdown", + "id": "be5b56be", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 6. Matrix Validation and Sanity Checks\n", + "\n", + "Before analyzing a connectivity matrix, always validate it! Common issues include:\n", + "\n", + "- **Broken symmetry** (for symmetric metrics)\n", + "- **Values out of range** (e.g., PLV > 1)\n", + "- **Unexpected NaN values** (besides diagonal)\n", + "- **All zeros or all ones** (computation problem)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "35fbcff4", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTIONS 7-8: Validation and Statistics\n", + "# ============================================================================\n", + "\n", + "def validate_connectivity_matrix(\n", + " matrix: NDArray[np.floating],\n", + " metric: str = \"plv\",\n", + " tolerance: float = 1e-10\n", + ") -> Dict[str, Any]:\n", + " \"\"\"\n", + " Validate connectivity matrix properties.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Connectivity matrix to validate.\n", + " metric : str, optional\n", + " Expected metric type. Default is \"plv\".\n", + " tolerance : float, optional\n", + " Tolerance for symmetry check. Default is 1e-10.\n", + " \n", + " Returns\n", + " -------\n", + " Dict[str, Any]\n", + " Validation results with keys:\n", + " - is_square: bool\n", + " - is_symmetric: bool\n", + " - in_range: bool\n", + " - diagonal_is_nan: bool\n", + " - has_unexpected_nan: bool\n", + " - issues: List[str]\n", + " \"\"\"\n", + " results = {\n", + " \"is_square\": False,\n", + " \"is_symmetric\": False,\n", + " \"in_range\": False,\n", + " \"diagonal_is_nan\": False,\n", + " \"has_unexpected_nan\": False,\n", + " \"issues\": []\n", + " }\n", + " \n", + " # Check square\n", + " if matrix.shape[0] != matrix.shape[1]:\n", + " results[\"issues\"].append(f\"Matrix is not square: {matrix.shape}\")\n", + " return results\n", + " results[\"is_square\"] = True\n", + " \n", + " n = matrix.shape[0]\n", + " \n", + " # Check symmetry (ignoring NaN diagonal)\n", + " matrix_no_diag = matrix.copy()\n", + " np.fill_diagonal(matrix_no_diag, 0)\n", + " matrix_t_no_diag = matrix_no_diag.T\n", + " \n", + " if np.allclose(matrix_no_diag, matrix_t_no_diag, atol=tolerance, equal_nan=True):\n", + " results[\"is_symmetric\"] = True\n", + " else:\n", + " results[\"issues\"].append(\"Matrix is not symmetric\")\n", + " \n", + " # Check diagonal is NaN\n", + " diagonal = np.diag(matrix)\n", + " if np.all(np.isnan(diagonal)):\n", + " results[\"diagonal_is_nan\"] = True\n", + " else:\n", + " results[\"issues\"].append(\"Diagonal contains non-NaN values\")\n", + " \n", + " # Check value range\n", + " off_diag = matrix[~np.eye(n, dtype=bool)]\n", + " off_diag_valid = off_diag[~np.isnan(off_diag)]\n", + " \n", + " if metric == \"plv\":\n", + " expected_range = (0, 1)\n", + " elif metric == \"correlation\":\n", + " expected_range = (-1, 1)\n", + " else:\n", + " expected_range = (-np.inf, np.inf)\n", + " \n", + " if len(off_diag_valid) > 0:\n", + " if np.min(off_diag_valid) >= expected_range[0] and np.max(off_diag_valid) <= expected_range[1]:\n", + " results[\"in_range\"] = True\n", + " else:\n", + " results[\"issues\"].append(f\"Values out of range {expected_range}: [{np.min(off_diag_valid):.3f}, {np.max(off_diag_valid):.3f}]\")\n", + " \n", + " # Check for unexpected NaN\n", + " n_expected_nan = n # diagonal\n", + " n_actual_nan = np.sum(np.isnan(matrix))\n", + " if n_actual_nan > n_expected_nan:\n", + " results[\"has_unexpected_nan\"] = True\n", + " results[\"issues\"].append(f\"Found {n_actual_nan - n_expected_nan} unexpected NaN values\")\n", + " \n", + " return results\n", + "\n", + "\n", + "def get_matrix_statistics(\n", + " matrix: NDArray[np.floating],\n", + " exclude_diagonal: bool = True\n", + ") -> Dict[str, float]:\n", + " \"\"\"\n", + " Compute summary statistics of connectivity matrix.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Connectivity matrix.\n", + " exclude_diagonal : bool, optional\n", + " Whether to exclude diagonal from statistics. Default is True.\n", + " \n", + " Returns\n", + " -------\n", + " Dict[str, float]\n", + " Statistics: mean, std, min, max, median.\n", + " \"\"\"\n", + " if exclude_diagonal:\n", + " n = matrix.shape[0]\n", + " values = matrix[~np.eye(n, dtype=bool)]\n", + " else:\n", + " values = matrix.flatten()\n", + " \n", + " # Remove NaN\n", + " values = values[~np.isnan(values)]\n", + " \n", + " return {\n", + " \"mean\": float(np.mean(values)),\n", + " \"std\": float(np.std(values)),\n", + " \"min\": float(np.min(values)),\n", + " \"max\": float(np.max(values)),\n", + " \"median\": float(np.median(values)),\n", + " \"n_values\": len(values)\n", + " }\n", + "\n", + "\n", + "print(\"Validation functions defined:\")\n", + "print(\"• validate_connectivity_matrix(matrix, metric) → validation report\")\n", + "print(\"• get_matrix_statistics(matrix) → summary stats\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e5218c5", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 6: Validation Demo\n", + "# ============================================================================\n", + "\n", + "# Validate our computed matrix\n", + "print(\"=\" * 60)\n", + "print(\"Validating our connectivity matrix...\")\n", + "print(\"=\" * 60)\n", + "\n", + "validation = validate_connectivity_matrix(conn_matrix, metric=\"plv\")\n", + "stats = get_matrix_statistics(conn_matrix)\n", + "\n", + "print(\"\\nValidation Results:\")\n", + "print(f\" ✓ Is square: {validation['is_square']}\")\n", + "print(f\" ✓ Is symmetric: {validation['is_symmetric']}\")\n", + "print(f\" ✓ Values in range [0,1]: {validation['in_range']}\")\n", + "print(f\" ✓ Diagonal is NaN: {validation['diagonal_is_nan']}\")\n", + "\n", + "if validation['issues']:\n", + " print(f\"\\n ⚠ Issues found: {validation['issues']}\")\n", + "else:\n", + " print(f\"\\n ✓ No issues found!\")\n", + "\n", + "print(\"\\nMatrix Statistics:\")\n", + "print(f\" Mean connectivity: {stats['mean']:.3f}\")\n", + "print(f\" Std deviation: {stats['std']:.3f}\")\n", + "print(f\" Range: [{stats['min']:.3f}, {stats['max']:.3f}]\")\n", + "print(f\" Median: {stats['median']:.3f}\")\n", + "print(f\" Number of values: {stats['n_values']}\")" + ] + }, + { + "cell_type": "markdown", + "id": "fcaba874", + "metadata": {}, + "source": [ + "## Section 7: Extracting Upper Triangle\n", + "\n", + "For **symmetric matrices** (like PLV), half the values are redundant:\n", + "- $M[i,j] = M[j,i]$ for all pairs\n", + "- The **upper triangle** (where $i < j$) contains all unique information\n", + "- The **diagonal** is typically NaN (self-connectivity is meaningless)\n", + "\n", + "**Why extract the upper triangle?**\n", + "\n", + "1. **Avoid double-counting** in statistics (mean, correlation with behavior, etc.)\n", + "2. **Save memory** when storing many matrices\n", + "3. **Simplify comparisons** between conditions\n", + "4. **Required format** for many statistical tests\n", + "\n", + "NumPy provides convenient functions:\n", + "- `np.triu_indices(n, k=1)` — indices of upper triangle (k=1 excludes diagonal)\n", + "- `np.triu(matrix, k=1)` — upper triangle with zeros elsewhere" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4d0cdfa4", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 8: Get Upper Triangle Values\n", + "# ============================================================================\n", + "\n", + "def get_upper_triangle_values(\n", + " matrix: NDArray[np.floating],\n", + " k: int = 1\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Extract upper triangle values from a matrix.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Square matrix, shape (n, n).\n", + " k : int, optional\n", + " Diagonal offset. k=1 excludes the main diagonal (default).\n", + " k=0 includes the diagonal.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " 1D array of upper triangle values.\n", + " \n", + " Notes\n", + " -----\n", + " For a symmetric matrix, this extracts all unique values.\n", + " Number of values = n(n-1)/2 when k=1.\n", + " \"\"\"\n", + " n = matrix.shape[0]\n", + " indices = np.triu_indices(n, k=k)\n", + " return matrix[indices]\n", + "\n", + "\n", + "def upper_triangle_to_matrix(\n", + " values: NDArray[np.floating],\n", + " n_channels: int,\n", + " fill_diagonal: float = np.nan\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Reconstruct symmetric matrix from upper triangle values.\n", + " \n", + " Parameters\n", + " ----------\n", + " values : NDArray[np.floating]\n", + " 1D array of upper triangle values.\n", + " n_channels : int\n", + " Number of channels (matrix will be n_channels × n_channels).\n", + " fill_diagonal : float, optional\n", + " Value to fill diagonal. Default is NaN.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Symmetric matrix, shape (n_channels, n_channels).\n", + " \n", + " Raises\n", + " ------\n", + " ValueError\n", + " If number of values doesn't match expected n(n-1)/2.\n", + " \"\"\"\n", + " expected_n_values = n_channels * (n_channels - 1) // 2\n", + " if len(values) != expected_n_values:\n", + " raise ValueError(\n", + " f\"Expected {expected_n_values} values for {n_channels} channels, \"\n", + " f\"got {len(values)}\"\n", + " )\n", + " \n", + " # Create empty matrix\n", + " matrix = np.zeros((n_channels, n_channels))\n", + " \n", + " # Fill upper triangle\n", + " indices = np.triu_indices(n_channels, k=1)\n", + " matrix[indices] = values\n", + " \n", + " # Make symmetric\n", + " matrix = matrix + matrix.T\n", + " \n", + " # Fill diagonal\n", + " np.fill_diagonal(matrix, fill_diagonal)\n", + " \n", + " return matrix\n", + "\n", + "\n", + "print(\"Upper triangle functions defined:\")\n", + "print(\"• get_upper_triangle_values(matrix, k) → 1D array of unique values\")\n", + "print(\"• upper_triangle_to_matrix(values, n_channels) → reconstructed matrix\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7e7ccc58", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 7: Upper Triangle Extraction Demo\n", + "# ============================================================================\n", + "\n", + "# Use our computed connectivity matrix\n", + "print(\"=\" * 60)\n", + "print(\"Upper Triangle Extraction\")\n", + "print(\"=\" * 60)\n", + "\n", + "# Extract upper triangle\n", + "upper_values = get_upper_triangle_values(conn_matrix)\n", + "print(f\"\\nOriginal matrix shape: {conn_matrix.shape}\")\n", + "print(f\"Number of unique pairs: {len(upper_values)}\")\n", + "print(f\"Expected: {get_n_pairs(len(channel_names))} = n(n-1)/2 = 6×5/2\")\n", + "\n", + "print(f\"\\nUpper triangle values:\")\n", + "for idx, (i, j) in enumerate(get_pair_indices(len(channel_names))):\n", + " print(f\" {channel_names[i]:>3} ↔ {channel_names[j]:<3}: {upper_values[idx]:.3f}\")\n", + "\n", + "# Reconstruct matrix\n", + "reconstructed = upper_triangle_to_matrix(upper_values, len(channel_names))\n", + "\n", + "# Verify roundtrip\n", + "# Compare only upper triangle (diagonal is NaN)\n", + "original_upper = get_upper_triangle_values(conn_matrix)\n", + "reconstructed_upper = get_upper_triangle_values(reconstructed)\n", + "is_identical = np.allclose(original_upper, reconstructed_upper, equal_nan=True)\n", + "\n", + "print(f\"\\n✓ Roundtrip successful: {is_identical}\")\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n", + "\n", + "# Original matrix\n", + "ax1 = axes[0]\n", + "im1 = ax1.imshow(conn_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "ax1.set_xticks(range(len(channel_names)))\n", + "ax1.set_yticks(range(len(channel_names)))\n", + "ax1.set_xticklabels(channel_names)\n", + "ax1.set_yticklabels(channel_names)\n", + "ax1.set_title(\"Original Matrix\", fontweight='bold')\n", + "plt.colorbar(im1, ax=ax1, shrink=0.8)\n", + "\n", + "# Upper triangle highlighted\n", + "ax2 = axes[1]\n", + "# Create mask for lower triangle\n", + "mask = np.tril(np.ones_like(conn_matrix), k=0)\n", + "masked_matrix = np.ma.masked_where(mask, conn_matrix)\n", + "im2 = ax2.imshow(masked_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "ax2.set_xticks(range(len(channel_names)))\n", + "ax2.set_yticks(range(len(channel_names)))\n", + "ax2.set_xticklabels(channel_names)\n", + "ax2.set_yticklabels(channel_names)\n", + "ax2.set_title(\"Upper Triangle Only\", fontweight='bold')\n", + "# Add grey for masked area\n", + "ax2.imshow(np.where(mask, 0.8, np.nan), cmap='gray', vmin=0, vmax=1)\n", + "plt.colorbar(im2, ax=ax2, shrink=0.8)\n", + "\n", + "# Reconstructed matrix\n", + "ax3 = axes[2]\n", + "im3 = ax3.imshow(reconstructed, cmap='viridis', vmin=0, vmax=1)\n", + "ax3.set_xticks(range(len(channel_names)))\n", + "ax3.set_yticks(range(len(channel_names)))\n", + "ax3.set_xticklabels(channel_names)\n", + "ax3.set_yticklabels(channel_names)\n", + "ax3.set_title(\"Reconstructed Matrix\", fontweight='bold')\n", + "plt.colorbar(im3, ax=ax3, shrink=0.8)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n→ Upper triangle contains all unique information for symmetric matrices\")" + ] + }, + { + "cell_type": "markdown", + "id": "88f965f3", + "metadata": {}, + "source": [ + "## Section 8: Channel Grouping and Region Averaging\n", + "\n", + "Individual electrode pairs can be **noisy**. Often, we're more interested in connectivity between **brain regions** than individual electrodes.\n", + "\n", + "**Example applications:**\n", + "- \"Frontal-to-parietal\" connectivity in working memory\n", + "- \"Left-to-right hemisphere\" coupling during bimanual coordination\n", + "- \"Motor-to-motor\" synchronization in hyperscanning\n", + "\n", + "**Approach:**\n", + "1. Define channel groups (frontal, central, parietal, etc.)\n", + "2. Average connectivity within each region pair\n", + "3. Result: smaller, more robust region × region matrix\n", + "\n", + "This is especially valuable when:\n", + "- Individual electrodes have high noise\n", + "- You want to reduce multiple comparisons\n", + "- Your hypothesis is at the region level" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2ea645ff", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 9: Channel Grouping and Region Connectivity\n", + "# ============================================================================\n", + "\n", + "def define_channel_groups(\n", + " channel_names: List[str],\n", + " group_definitions: Dict[str, List[str]]\n", + ") -> Dict[str, List[int]]:\n", + " \"\"\"\n", + " Map channel group names to their indices.\n", + " \n", + " Parameters\n", + " ----------\n", + " channel_names : List[str]\n", + " List of all channel names.\n", + " group_definitions : Dict[str, List[str]]\n", + " Mapping of group names to channel names.\n", + " e.g., {\"frontal\": [\"F3\", \"Fz\", \"F4\"], \"parietal\": [\"P3\", \"Pz\", \"P4\"]}\n", + " \n", + " Returns\n", + " -------\n", + " Dict[str, List[int]]\n", + " Mapping of group names to channel indices.\n", + " \n", + " Raises\n", + " ------\n", + " ValueError\n", + " If a channel name in group_definitions is not found.\n", + " \"\"\"\n", + " result = {}\n", + " for group_name, channels in group_definitions.items():\n", + " indices = []\n", + " for ch in channels:\n", + " if ch not in channel_names:\n", + " raise ValueError(f\"Channel '{ch}' not found in channel_names\")\n", + " indices.append(channel_names.index(ch))\n", + " result[group_name] = indices\n", + " return result\n", + "\n", + "\n", + "def compute_region_connectivity(\n", + " matrix: NDArray[np.floating],\n", + " channel_groups: Dict[str, List[int]]\n", + ") -> Tuple[NDArray[np.floating], List[str]]:\n", + " \"\"\"\n", + " Compute average connectivity between brain regions.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Full connectivity matrix, shape (n_channels, n_channels).\n", + " channel_groups : Dict[str, List[int]]\n", + " Mapping of group names to channel indices.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.floating], List[str]]\n", + " - Region connectivity matrix, shape (n_regions, n_regions)\n", + " - List of region names\n", + " \n", + " Notes\n", + " -----\n", + " - Diagonal = mean connectivity WITHIN a region\n", + " - Off-diagonal = mean connectivity BETWEEN regions\n", + " \"\"\"\n", + " region_names = list(channel_groups.keys())\n", + " n_regions = len(region_names)\n", + " \n", + " region_matrix = np.zeros((n_regions, n_regions))\n", + " \n", + " for i, region_i in enumerate(region_names):\n", + " for j, region_j in enumerate(region_names):\n", + " indices_i = channel_groups[region_i]\n", + " indices_j = channel_groups[region_j]\n", + " \n", + " # Get all pairwise values between these regions\n", + " values = []\n", + " for idx_i in indices_i:\n", + " for idx_j in indices_j:\n", + " if i == j and idx_i == idx_j:\n", + " # Skip self-connections within same region\n", + " continue\n", + " val = matrix[idx_i, idx_j]\n", + " if not np.isnan(val):\n", + " values.append(val)\n", + " \n", + " if values:\n", + " region_matrix[i, j] = np.mean(values)\n", + " else:\n", + " region_matrix[i, j] = np.nan\n", + " \n", + " return region_matrix, region_names\n", + "\n", + "\n", + "print(\"Region connectivity functions defined:\")\n", + "print(\"• define_channel_groups(channel_names, group_definitions) → indices\")\n", + "print(\"• compute_region_connectivity(matrix, groups) → (region_matrix, names)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b3d99f80", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 8: Region Averaging Demo\n", + "# ============================================================================\n", + "\n", + "# For this demo, let's define 3 regions from our 6 channels\n", + "# Our channel_names are ['Ch1', 'Ch2', 'Ch3', 'Ch4', 'Ch5', 'Ch6']\n", + "# These correspond to our 3 clusters:\n", + "# - Cluster 1 (Ch1, Ch2): share source_1\n", + "# - Cluster 2 (Ch3, Ch4): share source_2\n", + "# - Cluster 3 (Ch5, Ch6): share source_3\n", + "\n", + "group_definitions = {\n", + " \"Cluster1\": [\"Ch1\", \"Ch2\"],\n", + " \"Cluster2\": [\"Ch3\", \"Ch4\"],\n", + " \"Cluster3\": [\"Ch5\", \"Ch6\"]\n", + "}\n", + "\n", + "channel_groups = define_channel_groups(channel_names, group_definitions)\n", + "\n", + "print(\"=\" * 60)\n", + "print(\"Region Averaging\")\n", + "print(\"=\" * 60)\n", + "print(\"\\nChannel groups:\")\n", + "for region, indices in channel_groups.items():\n", + " channels = [channel_names[i] for i in indices]\n", + " print(f\" {region}: {channels} (indices: {indices})\")\n", + "\n", + "# Compute region connectivity\n", + "region_matrix, region_names = compute_region_connectivity(conn_matrix, channel_groups)\n", + "\n", + "print(f\"\\nRegion connectivity matrix:\")\n", + "print(f\" Shape: {region_matrix.shape} (reduced from {conn_matrix.shape})\")\n", + "\n", + "# Visualize side by side\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Original matrix with region boxes\n", + "ax1 = axes[0]\n", + "im1 = ax1.imshow(conn_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "ax1.set_xticks(range(len(channel_names)))\n", + "ax1.set_yticks(range(len(channel_names)))\n", + "ax1.set_xticklabels(channel_names)\n", + "ax1.set_yticklabels(channel_names)\n", + "ax1.set_title(\"Full Channel Matrix (6×6)\", fontweight='bold', fontsize=12)\n", + "plt.colorbar(im1, ax=ax1, shrink=0.8, label='PLV')\n", + "\n", + "# Draw region boxes\n", + "region_colors = [PRIMARY_BLUE, PRIMARY_GREEN, PRIMARY_RED]\n", + "for idx, (region, indices) in enumerate(channel_groups.items()):\n", + " start = min(indices)\n", + " end = max(indices)\n", + " rect = plt.Rectangle(\n", + " (start - 0.5, start - 0.5), \n", + " end - start + 1, end - start + 1,\n", + " fill=False, edgecolor=region_colors[idx], linewidth=3, linestyle='--'\n", + " )\n", + " ax1.add_patch(rect)\n", + "\n", + "# Region matrix\n", + "ax2 = axes[1]\n", + "im2 = ax2.imshow(region_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "ax2.set_xticks(range(len(region_names)))\n", + "ax2.set_yticks(range(len(region_names)))\n", + "ax2.set_xticklabels(region_names, fontsize=11)\n", + "ax2.set_yticklabels(region_names, fontsize=11)\n", + "ax2.set_title(\"Region Matrix (3×3)\", fontweight='bold', fontsize=12)\n", + "plt.colorbar(im2, ax=ax2, shrink=0.8, label='Mean PLV')\n", + "\n", + "# Add values to cells\n", + "for i in range(len(region_names)):\n", + " for j in range(len(region_names)):\n", + " val = region_matrix[i, j]\n", + " if not np.isnan(val):\n", + " text_color = 'white' if val > 0.5 else 'black'\n", + " ax2.text(j, i, f'{val:.2f}', ha='center', va='center', \n", + " fontsize=12, fontweight='bold', color=text_color)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n→ Region averaging reduces 15 unique pairs to 6 region pairs\")" + ] + }, + { + "cell_type": "markdown", + "id": "c39bf404", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 9: Hyperscanning Matrices — The Big Picture\n", + "\n", + "In **hyperscanning**, we record from **two participants simultaneously**. This creates a special matrix structure.\n", + "\n", + "With $n$ channels per participant, the **full hyperscanning matrix** is $2n × 2n$:\n", + "\n", + "```\n", + " │ P1 channels │ P2 channels │\n", + "─────────┼───────────────┼───────────────┤\n", + "P1 ch. │ Within-P1 │ Between │\n", + "─────────┼───────────────┼───────────────┤\n", + "P2 ch. │ Between.T │ Within-P2 │\n", + "─────────┴───────────────┴───────────────┘\n", + "```\n", + "\n", + "**Four quadrants:**\n", + "1. **Within-P1** (top-left): Connectivity within Participant 1 → ⚠️ Volume conduction!\n", + "2. **Within-P2** (bottom-right): Connectivity within Participant 2 → ⚠️ Volume conduction!\n", + "3. **Between** (top-right): P1 channels → P2 channels → ✅ **No volume conduction!**\n", + "4. **Between.T** (bottom-left): Transpose of between block\n", + "\n", + "The **between-participant block** is where inter-brain synchrony lives — and it's free from volume conduction!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b869d62e", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 9: Hyperscanning Matrix Structure (Schematic)\n", + "# ============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 10))\n", + "\n", + "# Create schematic matrix\n", + "n_per_participant = 4 # Simplified for visualization\n", + "n_total = 2 * n_per_participant\n", + "\n", + "# Create example values for each quadrant\n", + "schematic = np.zeros((n_total, n_total))\n", + "\n", + "# Within-P1 (top-left) - higher values (volume conduction)\n", + "schematic[:n_per_participant, :n_per_participant] = 0.7\n", + "# Within-P2 (bottom-right) - higher values (volume conduction)\n", + "schematic[n_per_participant:, n_per_participant:] = 0.7\n", + "# Between (off-diagonal blocks) - lower values (true coupling)\n", + "schematic[:n_per_participant, n_per_participant:] = 0.4\n", + "schematic[n_per_participant:, :n_per_participant] = 0.4\n", + "\n", + "# Set diagonal to NaN\n", + "np.fill_diagonal(schematic, np.nan)\n", + "\n", + "# Plot\n", + "im = ax.imshow(schematic, cmap='viridis', vmin=0, vmax=1)\n", + "\n", + "# Add quadrant labels\n", + "ax.text(n_per_participant/2 - 0.5, n_per_participant/2 - 0.5, \n", + " 'Within-P1\\nVol. Cond.', \n", + " ha='center', va='center', fontsize=14, fontweight='bold', color='black')\n", + "ax.text(n_total - n_per_participant/2 - 0.5, n_total - n_per_participant/2 - 0.5, \n", + " 'Within-P2\\nVol. Cond.', \n", + " ha='center', va='center', fontsize=14, fontweight='bold', color='black')\n", + "ax.text(n_total - n_per_participant/2 - 0.5, n_per_participant/2 - 0.5, \n", + " 'Between\\nNo Vol. Cond.', \n", + " ha='center', va='center', fontsize=14, fontweight='bold', color='black')\n", + "ax.text(n_per_participant/2 - 0.5, n_total - n_per_participant/2 - 0.5, \n", + " 'Between.T\\nNo Vol. Cond.', \n", + " ha='center', va='center', fontsize=14, fontweight='bold', color='black')\n", + "\n", + "# Add dividing lines\n", + "ax.axhline(n_per_participant - 0.5, color='white', linewidth=3)\n", + "ax.axvline(n_per_participant - 0.5, color='white', linewidth=3)\n", + "\n", + "# Labels\n", + "p1_labels = ['P1-Ch1', 'P1-Ch2', 'P1-Ch3', 'P1-Ch4']\n", + "p2_labels = ['P2-Ch1', 'P2-Ch2', 'P2-Ch3', 'P2-Ch4']\n", + "all_labels = p1_labels + p2_labels\n", + "\n", + "ax.set_xticks(range(n_total))\n", + "ax.set_yticks(range(n_total))\n", + "ax.set_xticklabels(all_labels, rotation=45, ha='right')\n", + "ax.set_yticklabels(all_labels)\n", + "\n", + "# Color-code axis labels by participant\n", + "for i, label in enumerate(ax.get_xticklabels()):\n", + " label.set_color(SUBJECT_1 if i < n_per_participant else SUBJECT_2)\n", + "for i, label in enumerate(ax.get_yticklabels()):\n", + " label.set_color(SUBJECT_1 if i < n_per_participant else SUBJECT_2)\n", + "\n", + "ax.set_title(\"Hyperscanning Matrix Structure (2n × 2n)\", fontsize=14, fontweight='bold', pad=15)\n", + "plt.colorbar(im, ax=ax, shrink=0.8, label='Connectivity')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"The BETWEEN block is the key to hyperscanning analysis!\")" + ] + }, + { + "cell_type": "markdown", + "id": "084144de", + "metadata": {}, + "source": [ + "## Section 10: Computing Hyperscanning Connectivity\n", + "\n", + "Now let's implement the computation for hyperscanning data.\n", + "\n", + "**Input:**\n", + "- `data_p1`: Participant 1's data, shape `(n_channels, n_samples)`\n", + "- `data_p2`: Participant 2's data, shape `(n_channels, n_samples)`\n", + "\n", + "**Output options:**\n", + "1. **Full matrix** (2n × 2n): All within and between connections\n", + "2. **Between matrix only** (n × n): Just P1↔P2 connections\n", + "3. **Separate matrices**: `within_p1`, `within_p2`, `between`\n", + "\n", + "**Important note:** The between-participant matrix is **NOT symmetric** in general:\n", + "- $M[i,j]$ = connectivity from P1_channel_i to P2_channel_j\n", + "- This is not the same as P2_channel_j to P1_channel_i (different row/column meaning)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "09c98384", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 10: Hyperscanning Connectivity\n", + "# ============================================================================\n", + "\n", + "def compute_hyperscanning_connectivity(\n", + " data_p1: NDArray[np.floating],\n", + " data_p2: NDArray[np.floating],\n", + " fs: float,\n", + " band: Tuple[float, float],\n", + " metric: str = \"plv\"\n", + ") -> Dict[str, NDArray[np.floating]]:\n", + " \"\"\"\n", + " Compute connectivity matrices for hyperscanning data.\n", + " \n", + " Parameters\n", + " ----------\n", + " data_p1 : NDArray[np.floating]\n", + " Participant 1 data, shape (n_channels, n_samples).\n", + " data_p2 : NDArray[np.floating]\n", + " Participant 2 data, shape (n_channels, n_samples).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : Tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " metric : str, optional\n", + " Connectivity metric. Default is \"plv\".\n", + " \n", + " Returns\n", + " -------\n", + " Dict[str, NDArray[np.floating]]\n", + " Dictionary with keys:\n", + " - \"within_p1\": (n_ch, n_ch) connectivity within P1\n", + " - \"within_p2\": (n_ch, n_ch) connectivity within P2\n", + " - \"between\": (n_ch, n_ch) connectivity P1→P2\n", + " - \"full\": (2*n_ch, 2*n_ch) complete hyperscanning matrix\n", + " \"\"\"\n", + " n_ch_p1 = data_p1.shape[0]\n", + " n_ch_p2 = data_p2.shape[0]\n", + " \n", + " if n_ch_p1 != n_ch_p2:\n", + " raise ValueError(\n", + " f\"Both participants must have same number of channels. \"\n", + " f\"Got {n_ch_p1} and {n_ch_p2}.\"\n", + " )\n", + " \n", + " n_ch = n_ch_p1\n", + " \n", + " # Compute within-participant connectivity\n", + " within_p1 = compute_connectivity_matrix(data_p1, fs, band, metric)\n", + " within_p2 = compute_connectivity_matrix(data_p2, fs, band, metric)\n", + " \n", + " # Compute between-participant connectivity\n", + " # Filter all data first\n", + " data_p1_filt = np.array([bandpass_filter(ch, band[0], band[1], fs) for ch in data_p1])\n", + " data_p2_filt = np.array([bandpass_filter(ch, band[0], band[1], fs) for ch in data_p2])\n", + " \n", + " between = np.zeros((n_ch, n_ch))\n", + " for i in range(n_ch):\n", + " for j in range(n_ch):\n", + " between[i, j] = compute_plv_pair(data_p1_filt[i], data_p2_filt[j])\n", + " \n", + " # Build full matrix\n", + " n_total = 2 * n_ch\n", + " full = np.zeros((n_total, n_total))\n", + " \n", + " # Fill quadrants\n", + " full[:n_ch, :n_ch] = within_p1 # Top-left\n", + " full[n_ch:, n_ch:] = within_p2 # Bottom-right\n", + " full[:n_ch, n_ch:] = between # Top-right\n", + " full[n_ch:, :n_ch] = between.T # Bottom-left\n", + " \n", + " return {\n", + " \"within_p1\": within_p1,\n", + " \"within_p2\": within_p2,\n", + " \"between\": between,\n", + " \"full\": full\n", + " }\n", + "\n", + "\n", + "def extract_between_participant_matrix(\n", + " full_matrix: NDArray[np.floating],\n", + " n_channels_per_participant: int\n", + ") -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Extract the between-participant block from a full hyperscanning matrix.\n", + " \n", + " Parameters\n", + " ----------\n", + " full_matrix : NDArray[np.floating]\n", + " Full hyperscanning matrix, shape (2n, 2n).\n", + " n_channels_per_participant : int\n", + " Number of channels per participant.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Between-participant matrix, shape (n, n).\n", + " Rows = P1 channels, Columns = P2 channels.\n", + " \"\"\"\n", + " n = n_channels_per_participant\n", + " return full_matrix[:n, n:].copy()\n", + "\n", + "\n", + "print(\"Hyperscanning functions defined:\")\n", + "print(\"• compute_hyperscanning_connectivity(data_p1, data_p2, fs, band)\")\n", + "print(\"• extract_between_participant_matrix(full_matrix, n_per_participant)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c6c175a3", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 10: Hyperscanning Connectivity Example\n", + "# ============================================================================\n", + "\n", + "# Generate synthetic hyperscanning data\n", + "np.random.seed(42)\n", + "n_channels_hyper = 4\n", + "n_samples_hyper = int(5 * fs) # 5 seconds\n", + "t_hyper = np.arange(n_samples_hyper) / fs\n", + "\n", + "# Create shared and independent sources\n", + "# Shared source: both participants will have some coupling on specific channels\n", + "shared_phase = 2 * np.pi * 10 * t_hyper + np.cumsum(0.05 * np.random.randn(n_samples_hyper))\n", + "shared_source = np.sin(shared_phase)\n", + "\n", + "# Independent sources for each participant\n", + "def create_independent_source(freq: float, n_samples: int, phase_noise: float = 0.1) -> NDArray:\n", + " \"\"\"Create a source with random phase dynamics.\"\"\"\n", + " t = np.arange(n_samples) / fs\n", + " phase = 2 * np.pi * freq * t + np.cumsum(phase_noise * np.random.randn(n_samples))\n", + " return np.sin(phase)\n", + "\n", + "# Participant 1 data\n", + "data_p1_hyper = np.zeros((n_channels_hyper, n_samples_hyper))\n", + "data_p1_hyper[0] = shared_source + 0.5 * create_independent_source(10, n_samples_hyper) # Some shared\n", + "data_p1_hyper[1] = create_independent_source(10, n_samples_hyper) # Independent\n", + "data_p1_hyper[2] = create_independent_source(10, n_samples_hyper) # Independent\n", + "data_p1_hyper[3] = shared_source + 0.5 * create_independent_source(10, n_samples_hyper) # Some shared\n", + "\n", + "# Participant 2 data\n", + "data_p2_hyper = np.zeros((n_channels_hyper, n_samples_hyper))\n", + "data_p2_hyper[0] = shared_source + 0.5 * create_independent_source(10, n_samples_hyper) # Coupled with P1-Ch0\n", + "data_p2_hyper[1] = create_independent_source(10, n_samples_hyper) # Independent\n", + "data_p2_hyper[2] = create_independent_source(10, n_samples_hyper) # Independent\n", + "data_p2_hyper[3] = shared_source + 0.5 * create_independent_source(10, n_samples_hyper) # Coupled with P1-Ch3\n", + "\n", + "# Add noise\n", + "noise_level_hyper = 0.3\n", + "data_p1_hyper += noise_level_hyper * np.random.randn(*data_p1_hyper.shape)\n", + "data_p2_hyper += noise_level_hyper * np.random.randn(*data_p2_hyper.shape)\n", + "\n", + "# Compute hyperscanning connectivity\n", + "hyper_results = compute_hyperscanning_connectivity(\n", + " data_p1_hyper, data_p2_hyper, fs, alpha_band\n", + ")\n", + "\n", + "print(\"=\" * 60)\n", + "print(\"Hyperscanning Connectivity Computed\")\n", + "print(\"=\" * 60)\n", + "print(f\"\\nData shapes: P1={data_p1_hyper.shape}, P2={data_p2_hyper.shape}\")\n", + "print(f\"\\nMatrix shapes:\")\n", + "print(f\" Within-P1: {hyper_results['within_p1'].shape}\")\n", + "print(f\" Within-P2: {hyper_results['within_p2'].shape}\")\n", + "print(f\" Between: {hyper_results['between'].shape}\")\n", + "print(f\" Full: {hyper_results['full'].shape}\")\n", + "\n", + "# Visualize the full matrix\n", + "fig, ax = plt.subplots(figsize=(10, 10))\n", + "\n", + "im = ax.imshow(hyper_results['full'], cmap='viridis', vmin=0, vmax=1)\n", + "\n", + "# Add quadrant dividers\n", + "n_ch = n_channels_hyper\n", + "ax.axhline(n_ch - 0.5, color='white', linewidth=2)\n", + "ax.axvline(n_ch - 0.5, color='white', linewidth=2)\n", + "\n", + "# Labels\n", + "p1_labels = [f'P1-Ch{i}' for i in range(n_ch)]\n", + "p2_labels = [f'P2-Ch{i}' for i in range(n_ch)]\n", + "all_labels = p1_labels + p2_labels\n", + "\n", + "ax.set_xticks(range(2 * n_ch))\n", + "ax.set_yticks(range(2 * n_ch))\n", + "ax.set_xticklabels(all_labels, rotation=45, ha='right')\n", + "ax.set_yticklabels(all_labels)\n", + "\n", + "# Color axis labels\n", + "for i, label in enumerate(ax.get_xticklabels()):\n", + " label.set_color(SUBJECT_1 if i < n_ch else SUBJECT_2)\n", + " label.set_fontweight('bold')\n", + "for i, label in enumerate(ax.get_yticklabels()):\n", + " label.set_color(SUBJECT_1 if i < n_ch else SUBJECT_2)\n", + " label.set_fontweight('bold')\n", + "\n", + "ax.set_title(\"Full Hyperscanning Matrix\", fontsize=14, fontweight='bold')\n", + "plt.colorbar(im, ax=ax, shrink=0.8, label='PLV')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n→ Notice higher values in corners of the between block (Ch0↔Ch0, Ch3↔Ch3)\")" + ] + }, + { + "cell_type": "markdown", + "id": "3d44f539", + "metadata": {}, + "source": [ + "## Section 11: Visualizing Hyperscanning Connectivity\n", + "\n", + "For hyperscanning data, we need specialized visualizations that emphasize the **between-participant** connectivity.\n", + "\n", + "**Approaches:**\n", + "1. **Full matrix with quadrant highlighting** — Shows everything, marks the between block\n", + "2. **Between-matrix only** — Focus on inter-brain synchrony\n", + "3. **Circular plot with two groups** — P1 channels on one side, P2 on the other\n", + "\n", + "The circular plot is particularly intuitive: inter-brain connections cross between the two participant groups." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6641f22d", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 11: Hyperscanning Visualization Functions\n", + "# ============================================================================\n", + "\n", + "def plot_hyperscanning_matrix(\n", + " full_matrix: NDArray[np.floating],\n", + " channel_names_p1: List[str],\n", + " channel_names_p2: List[str],\n", + " ax: Optional[plt.Axes] = None,\n", + " highlight_between: bool = True,\n", + " cmap: str = 'viridis',\n", + " title: Optional[str] = None\n", + ") -> plt.Axes:\n", + " \"\"\"\n", + " Plot full hyperscanning matrix with quadrant annotations.\n", + " \n", + " Parameters\n", + " ----------\n", + " full_matrix : NDArray[np.floating]\n", + " Full hyperscanning matrix, shape (2n, 2n).\n", + " channel_names_p1 : List[str]\n", + " Channel names for Participant 1.\n", + " channel_names_p2 : List[str]\n", + " Channel names for Participant 2.\n", + " ax : Optional[plt.Axes], optional\n", + " Matplotlib axes. If None, creates new figure.\n", + " highlight_between : bool, optional\n", + " Whether to highlight the between-participant block. Default True.\n", + " cmap : str, optional\n", + " Colormap. Default is 'viridis'.\n", + " title : Optional[str], optional\n", + " Plot title.\n", + " \n", + " Returns\n", + " -------\n", + " plt.Axes\n", + " The matplotlib axes with the plot.\n", + " \"\"\"\n", + " n_ch = len(channel_names_p1)\n", + " \n", + " if ax is None:\n", + " fig, ax = plt.subplots(figsize=(10, 10))\n", + " \n", + " im = ax.imshow(full_matrix, cmap=cmap, vmin=0, vmax=1)\n", + " \n", + " # Add dividing lines\n", + " ax.axhline(n_ch - 0.5, color='white', linewidth=2)\n", + " ax.axvline(n_ch - 0.5, color='white', linewidth=2)\n", + " \n", + " # Highlight between block\n", + " if highlight_between:\n", + " rect = plt.Rectangle(\n", + " (n_ch - 0.5, -0.5), n_ch, n_ch,\n", + " fill=False, edgecolor=PRIMARY_GREEN, linewidth=3, linestyle='--'\n", + " )\n", + " ax.add_patch(rect)\n", + " \n", + " # Labels\n", + " all_labels = [f'P1-{ch}' for ch in channel_names_p1] + [f'P2-{ch}' for ch in channel_names_p2]\n", + " ax.set_xticks(range(2 * n_ch))\n", + " ax.set_yticks(range(2 * n_ch))\n", + " ax.set_xticklabels(all_labels, rotation=45, ha='right')\n", + " ax.set_yticklabels(all_labels)\n", + " \n", + " # Color labels by participant\n", + " for i, label in enumerate(ax.get_xticklabels()):\n", + " label.set_color(SUBJECT_1 if i < n_ch else SUBJECT_2)\n", + " for i, label in enumerate(ax.get_yticklabels()):\n", + " label.set_color(SUBJECT_1 if i < n_ch else SUBJECT_2)\n", + " \n", + " plt.colorbar(im, ax=ax, shrink=0.8, label='PLV')\n", + " \n", + " if title:\n", + " ax.set_title(title, fontsize=14, fontweight='bold')\n", + " \n", + " return ax\n", + "\n", + "\n", + "def plot_hyperscanning_circular(\n", + " between_matrix: NDArray[np.floating],\n", + " channel_names_p1: List[str],\n", + " channel_names_p2: List[str],\n", + " threshold: Optional[float] = None,\n", + " ax: Optional[plt.Axes] = None,\n", + " linewidth_scale: float = 3.0,\n", + " title: Optional[str] = None\n", + ") -> plt.Axes:\n", + " \"\"\"\n", + " Circular plot for hyperscanning with P1 on left, P2 on right.\n", + " \n", + " Parameters\n", + " ----------\n", + " between_matrix : NDArray[np.floating]\n", + " Between-participant matrix, shape (n, n).\n", + " Rows = P1 channels, Columns = P2 channels.\n", + " channel_names_p1 : List[str]\n", + " Channel names for Participant 1.\n", + " channel_names_p2 : List[str]\n", + " Channel names for Participant 2.\n", + " threshold : Optional[float], optional\n", + " Only highlight connections above this value. Default None.\n", + " ax : Optional[plt.Axes], optional\n", + " Polar axes. If None, creates new figure.\n", + " linewidth_scale : float, optional\n", + " Scale factor for line width. Default 3.0.\n", + " title : Optional[str], optional\n", + " Plot title.\n", + " \n", + " Returns\n", + " -------\n", + " plt.Axes\n", + " The matplotlib polar axes with the plot.\n", + " \"\"\"\n", + " n_ch = len(channel_names_p1)\n", + " \n", + " if ax is None:\n", + " fig, ax = plt.subplots(figsize=(12, 10), subplot_kw={'projection': 'polar'})\n", + " \n", + " # Position P1 on left side (π/2 to 3π/2), P2 on right side (-π/2 to π/2)\n", + " angles_p1 = np.linspace(np.pi * 0.7, np.pi * 1.3, n_ch)\n", + " angles_p2 = np.linspace(-np.pi * 0.3, np.pi * 0.3, n_ch)\n", + " \n", + " # Plot P1 nodes (left side)\n", + " for i, (angle, name) in enumerate(zip(angles_p1, channel_names_p1)):\n", + " ax.scatter(angle, 1, s=400, c=SUBJECT_1, zorder=5, edgecolors='white', linewidths=2)\n", + " ax.text(angle, 1.2, f'P1-{name}', ha='center', va='center', fontsize=10, \n", + " fontweight='bold', color=SUBJECT_1)\n", + " \n", + " # Plot P2 nodes (right side)\n", + " for i, (angle, name) in enumerate(zip(angles_p2, channel_names_p2)):\n", + " ax.scatter(angle, 1, s=400, c=SUBJECT_2, zorder=5, edgecolors='white', linewidths=2)\n", + " ax.text(angle, 1.2, f'P2-{name}', ha='center', va='center', fontsize=10, \n", + " fontweight='bold', color=SUBJECT_2)\n", + " \n", + " # Plot connections between P1 and P2\n", + " for i in range(n_ch):\n", + " for j in range(n_ch):\n", + " value = between_matrix[i, j]\n", + " if np.isnan(value):\n", + " continue\n", + " \n", + " angle_i = angles_p1[i]\n", + " angle_j = angles_p2[j]\n", + " \n", + " # Create arc\n", + " n_points = 50\n", + " t_vals = np.linspace(0, 1, n_points)\n", + " r_vals = 1 - 0.4 * np.sin(np.pi * t_vals)\n", + " angle_vals = angle_i + t_vals * (angle_j - angle_i)\n", + " \n", + " # Determine if strong connection\n", + " is_strong = threshold is None or value >= threshold\n", + " \n", + " if is_strong:\n", + " lw = value * linewidth_scale\n", + " alpha = 0.4 + 0.6 * value\n", + " color = SECONDARY_PURPLE\n", + " zorder = 2\n", + " else:\n", + " lw = 0.8\n", + " alpha = 0.2\n", + " color = '#CCCCCC'\n", + " zorder = 1\n", + " \n", + " ax.plot(angle_vals, r_vals, color=color, linewidth=lw, alpha=alpha, zorder=zorder)\n", + " \n", + " # Clean up\n", + " ax.set_ylim(0, 1.4)\n", + " ax.set_yticks([])\n", + " ax.set_xticks([])\n", + " ax.spines['polar'].set_visible(False)\n", + " \n", + " if title:\n", + " ax.set_title(title, fontsize=14, fontweight='bold', pad=20)\n", + " \n", + " return ax\n", + "\n", + "\n", + "print(\"Hyperscanning visualization functions defined:\")\n", + "print(\"• plot_hyperscanning_matrix(full_matrix, ch_p1, ch_p2, ...)\")\n", + "print(\"• plot_hyperscanning_circular(between_matrix, ch_p1, ch_p2, ...)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c287adc1", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 11: Hyperscanning Visualizations\n", + "# ============================================================================\n", + "\n", + "# Channel names for our hyperscanning example\n", + "ch_names_p1 = [f'Ch{i}' for i in range(n_channels_hyper)]\n", + "ch_names_p2 = [f'Ch{i}' for i in range(n_channels_hyper)]\n", + "\n", + "# Extract between matrix\n", + "between_matrix = hyper_results['between']\n", + "\n", + "print(\"=\" * 60)\n", + "print(\"Between-Participant Connectivity\")\n", + "print(\"=\" * 60)\n", + "print(f\"\\nBetween matrix shape: {between_matrix.shape}\")\n", + "print(f\" Rows = P1 channels, Columns = P2 channels\")\n", + "print(f\"\\nHighest connections:\")\n", + "# Find top 3 connections\n", + "flat_indices = np.argsort(between_matrix.flatten())[::-1][:3]\n", + "for idx in flat_indices:\n", + " i, j = np.unravel_index(idx, between_matrix.shape)\n", + " print(f\" P1-Ch{i} ↔ P2-Ch{j}: PLV = {between_matrix[i, j]:.3f}\")\n", + "\n", + "# Create visualizations\n", + "fig, axes = plt.subplots(1, 2, figsize=(16, 7))\n", + "\n", + "# Between-participant matrix only\n", + "ax1 = axes[0]\n", + "im = ax1.imshow(between_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "ax1.set_xticks(range(n_channels_hyper))\n", + "ax1.set_yticks(range(n_channels_hyper))\n", + "ax1.set_xticklabels([f'P2-Ch{i}' for i in range(n_channels_hyper)], fontsize=11)\n", + "ax1.set_yticklabels([f'P1-Ch{i}' for i in range(n_channels_hyper)], fontsize=11)\n", + "ax1.set_xlabel('Participant 2 Channels', fontsize=12, color=SUBJECT_2)\n", + "ax1.set_ylabel('Participant 1 Channels', fontsize=12, color=SUBJECT_1)\n", + "ax1.set_title('Between-Participant Matrix', fontsize=13, fontweight='bold')\n", + "plt.colorbar(im, ax=ax1, shrink=0.8, label='PLV')\n", + "\n", + "# Add values\n", + "for i in range(n_channels_hyper):\n", + " for j in range(n_channels_hyper):\n", + " val = between_matrix[i, j]\n", + " color = 'white' if val > 0.5 else 'black'\n", + " ax1.text(j, i, f'{val:.2f}', ha='center', va='center', fontsize=10, color=color)\n", + "\n", + "# Circular hyperscanning plot\n", + "ax2 = fig.add_subplot(1, 2, 2, projection='polar')\n", + "axes[1].remove() # Remove the original axes\n", + "\n", + "plot_hyperscanning_circular(\n", + " between_matrix,\n", + " ch_names_p1,\n", + " ch_names_p2,\n", + " threshold=0.5,\n", + " ax=ax2,\n", + " title='Inter-Brain Connectivity'\n", + ")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n→ The coupled channels (Ch0↔Ch0, Ch3↔Ch3) show the strongest connections!\")" + ] + }, + { + "cell_type": "markdown", + "id": "29e6e925", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 12: Global Connectivity Metrics\n", + "\n", + "Sometimes we need to summarize an entire matrix with a **single value**:\n", + "\n", + "**Common global metrics:**\n", + "- **Mean connectivity**: Average of all off-diagonal values\n", + "- **Connection density**: Proportion of connections above a threshold\n", + "- **Hyperscanning ratio**: Between-participant / within-participant connectivity\n", + "\n", + "These are useful for:\n", + "- Comparing conditions (task vs. rest)\n", + "- Correlating with behavior (reaction time, performance)\n", + "- Statistical group comparisons" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a8fbe235", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# FUNCTION 12: Global Connectivity Metrics\n", + "# ============================================================================\n", + "\n", + "def compute_global_connectivity(\n", + " matrix: NDArray[np.floating],\n", + " exclude_diagonal: bool = True\n", + ") -> float:\n", + " \"\"\"\n", + " Compute mean connectivity (global connectivity).\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Connectivity matrix.\n", + " exclude_diagonal : bool, optional\n", + " Whether to exclude diagonal values. Default True.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Mean connectivity value.\n", + " \"\"\"\n", + " if exclude_diagonal:\n", + " # Get upper triangle values (excludes diagonal)\n", + " values = get_upper_triangle_values(matrix, k=1)\n", + " else:\n", + " values = matrix.flatten()\n", + " \n", + " # Remove NaN values\n", + " values = values[~np.isnan(values)]\n", + " return float(np.mean(values))\n", + "\n", + "\n", + "def compute_connection_density(\n", + " matrix: NDArray[np.floating],\n", + " threshold: float,\n", + " exclude_diagonal: bool = True\n", + ") -> float:\n", + " \"\"\"\n", + " Compute proportion of connections exceeding threshold.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Connectivity matrix.\n", + " threshold : float\n", + " Connectivity threshold.\n", + " exclude_diagonal : bool, optional\n", + " Whether to exclude diagonal. Default True.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Proportion of connections above threshold (0 to 1).\n", + " \"\"\"\n", + " if exclude_diagonal:\n", + " values = get_upper_triangle_values(matrix, k=1)\n", + " else:\n", + " values = matrix.flatten()\n", + " \n", + " values = values[~np.isnan(values)]\n", + " return float(np.mean(values > threshold))\n", + "\n", + "\n", + "def compute_hyperscanning_ratio(\n", + " within_mean: float,\n", + " between_mean: float\n", + ") -> float:\n", + " \"\"\"\n", + " Compute ratio of between to within connectivity.\n", + " \n", + " Parameters\n", + " ----------\n", + " within_mean : float\n", + " Mean within-participant connectivity.\n", + " between_mean : float\n", + " Mean between-participant connectivity.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Ratio (between / within). \n", + " > 1 indicates stronger inter-brain than intra-brain connectivity.\n", + " \"\"\"\n", + " if within_mean == 0:\n", + " return np.inf if between_mean > 0 else 0.0\n", + " return between_mean / within_mean\n", + "\n", + "\n", + "print(\"Global metric functions defined:\")\n", + "print(\"• compute_global_connectivity(matrix) → mean PLV\")\n", + "print(\"• compute_connection_density(matrix, threshold) → proportion above threshold\")\n", + "print(\"• compute_hyperscanning_ratio(within, between) → inter/intra ratio\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a3eb67d9", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 12: Global Metrics Comparison\n", + "# ============================================================================\n", + "\n", + "# Compute global metrics for our hyperscanning data\n", + "within_p1_mean = compute_global_connectivity(hyper_results['within_p1'])\n", + "within_p2_mean = compute_global_connectivity(hyper_results['within_p2'])\n", + "between_mean = compute_global_connectivity(hyper_results['between'], exclude_diagonal=False)\n", + "\n", + "# Average within-participant\n", + "within_avg = (within_p1_mean + within_p2_mean) / 2\n", + "\n", + "# Hyperscanning ratio\n", + "hyper_ratio = compute_hyperscanning_ratio(within_avg, between_mean)\n", + "\n", + "# Connection density at different thresholds\n", + "densities = {}\n", + "for threshold in [0.3, 0.5, 0.7]:\n", + " densities[threshold] = {\n", + " 'within_p1': compute_connection_density(hyper_results['within_p1'], threshold),\n", + " 'within_p2': compute_connection_density(hyper_results['within_p2'], threshold),\n", + " 'between': compute_connection_density(hyper_results['between'], threshold)\n", + " }\n", + "\n", + "print(\"=\" * 60)\n", + "print(\"Global Connectivity Metrics\")\n", + "print(\"=\" * 60)\n", + "print(f\"\\nMean Connectivity:\")\n", + "print(f\" Within P1: {within_p1_mean:.3f}\")\n", + "print(f\" Within P2: {within_p2_mean:.3f}\")\n", + "print(f\" Between: {between_mean:.3f}\")\n", + "print(f\"\\nHyperscanning Ratio (between/within): {hyper_ratio:.3f}\")\n", + "if hyper_ratio > 1:\n", + " print(\" → Inter-brain > Intra-brain connectivity\")\n", + "else:\n", + " print(\" → Intra-brain > Inter-brain connectivity\")\n", + "\n", + "# Visualization: Bar chart\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Mean connectivity comparison\n", + "ax1 = axes[0]\n", + "categories = ['Within P1', 'Within P2', 'Between']\n", + "values = [within_p1_mean, within_p2_mean, between_mean]\n", + "colors = [SUBJECT_1, SUBJECT_2, SECONDARY_PURPLE]\n", + "bars = ax1.bar(categories, values, color=colors, edgecolor='white', linewidth=2)\n", + "ax1.set_ylabel('Mean PLV', fontsize=12)\n", + "ax1.set_title('Mean Connectivity Comparison', fontsize=13, fontweight='bold')\n", + "ax1.set_ylim(0, 1)\n", + "ax1.axhline(0.5, color='gray', linestyle='--', alpha=0.5, label='Reference')\n", + "\n", + "# Add value labels\n", + "for bar, val in zip(bars, values):\n", + " ax1.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.02, \n", + " f'{val:.2f}', ha='center', fontsize=11, fontweight='bold')\n", + "\n", + "# Connection density at threshold=0.5\n", + "ax2 = axes[1]\n", + "threshold = 0.5\n", + "x = np.arange(3)\n", + "width = 0.6\n", + "density_values = [densities[threshold]['within_p1'], \n", + " densities[threshold]['within_p2'], \n", + " densities[threshold]['between']]\n", + "bars = ax2.bar(x, density_values, width, color=colors, edgecolor='white', linewidth=2)\n", + "ax2.set_xticks(x)\n", + "ax2.set_xticklabels(categories)\n", + "ax2.set_ylabel('Connection Density', fontsize=12)\n", + "ax2.set_title(f'Proportion of Connections > {threshold}', fontsize=13, fontweight='bold')\n", + "ax2.set_ylim(0, 1)\n", + "\n", + "# Add value labels\n", + "for bar, val in zip(bars, density_values):\n", + " ax2.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.02, \n", + " f'{val:.0%}', ha='center', fontsize=11, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\n→ These metrics can be compared across conditions or correlated with behavior\")" + ] + }, + { + "cell_type": "markdown", + "id": "08f8e5f9", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 10: Exercises\n", + "\n", + "### Exercise 1: Matrix Dimensions\n", + "\n", + "Given 32-channel EEG from two participants in a hyperscanning setup:\n", + "- How many unique within-participant pairs are there (per participant)?\n", + "- How many unique between-participant pairs?\n", + "- What's the total size of the hyperscanning matrix?\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "### Exercise 2: Custom Region Averaging\n", + "\n", + "Create a function that computes region-to-region connectivity for a custom set of regions. Apply it to a simulated connectivity matrix.\n", + "\n", + "```python\n", + "# Your code here\n", + "# Define regions: {'frontal': [0,1,2], 'central': [3,4,5], 'parietal': [6,7]}\n", + "```\n", + "\n", + "### Exercise 3: Thresholding\n", + "\n", + "Write a function that:\n", + "1. Takes a connectivity matrix and a threshold\n", + "2. Returns a binary matrix (1 where connectivity > threshold, 0 otherwise)\n", + "3. Counts the number of significant connections\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "### Exercise 4: Hyperscanning Analysis\n", + "\n", + "Generate synthetic hyperscanning data with:\n", + "- Strong within-participant connectivity (PLV ~ 0.6)\n", + "- Weak between-participant connectivity (PLV ~ 0.3)\n", + "\n", + "Compute and visualize the hyperscanning matrix. Does the between/within ratio match your expectations?\n", + "\n", + "```python\n", + "# Your code here\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6365e384", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 1 SOLUTION: Matrix Dimensions\n", + "# ============================================================================\n", + "\n", + "n_channels_ex1 = 32\n", + "\n", + "# Within-participant pairs (per participant)\n", + "within_pairs = n_channels_ex1 * (n_channels_ex1 - 1) // 2\n", + "print(f\"Within-participant pairs (per participant): {within_pairs}\")\n", + "print(f\"Total within pairs (2 participants): {within_pairs * 2}\")\n", + "\n", + "# Between-participant pairs\n", + "between_pairs = n_channels_ex1 * n_channels_ex1\n", + "print(f\"Between-participant pairs: {between_pairs}\")\n", + "\n", + "# Total hyperscanning matrix size\n", + "total_channels = n_channels_ex1 * 2\n", + "matrix_size = total_channels\n", + "print(f\"\\nHyperscanning matrix size: {matrix_size} × {matrix_size}\")\n", + "print(f\"Total elements: {matrix_size ** 2}\")\n", + "print(f\"Unique pairs (excluding diagonal): {total_channels * (total_channels - 1) // 2}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "843a51db", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 2 SOLUTION: Custom Region Averaging\n", + "# ============================================================================\n", + "\n", + "def compute_custom_region_connectivity(\n", + " matrix: NDArray[np.floating],\n", + " regions: Dict[str, List[int]]\n", + ") -> Tuple[NDArray[np.floating], List[str]]:\n", + " \"\"\"\n", + " Compute region-to-region connectivity from a full connectivity matrix.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Full channel-by-channel connectivity matrix.\n", + " regions : Dict[str, List[int]]\n", + " Dictionary mapping region names to channel indices.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.floating], List[str]]\n", + " Region connectivity matrix and list of region names.\n", + " \"\"\"\n", + " region_names = list(regions.keys())\n", + " n_regions = len(region_names)\n", + " region_matrix = np.zeros((n_regions, n_regions))\n", + " \n", + " for i, reg1 in enumerate(region_names):\n", + " for j, reg2 in enumerate(region_names):\n", + " # Get channel indices for each region\n", + " ch1 = regions[reg1]\n", + " ch2 = regions[reg2]\n", + " \n", + " # Extract submatrix\n", + " submatrix = matrix[np.ix_(ch1, ch2)]\n", + " \n", + " if i == j:\n", + " # Within region: exclude diagonal\n", + " mask = ~np.eye(len(ch1), dtype=bool)\n", + " if np.sum(mask) > 0:\n", + " region_matrix[i, j] = np.nanmean(submatrix[mask])\n", + " else:\n", + " region_matrix[i, j] = np.nan\n", + " else:\n", + " # Between regions: all values\n", + " region_matrix[i, j] = np.nanmean(submatrix)\n", + " \n", + " return region_matrix, region_names\n", + "\n", + "\n", + "# Create a simulated 8-channel connectivity matrix\n", + "np.random.seed(42)\n", + "sim_matrix = np.random.uniform(0.2, 0.6, (8, 8))\n", + "sim_matrix = (sim_matrix + sim_matrix.T) / 2 # Make symmetric\n", + "np.fill_diagonal(sim_matrix, np.nan)\n", + "\n", + "# Define custom regions\n", + "custom_regions = {\n", + " 'Frontal': [0, 1, 2],\n", + " 'Central': [3, 4, 5],\n", + " 'Parietal': [6, 7]\n", + "}\n", + "\n", + "# Compute region connectivity\n", + "region_conn, reg_names = compute_custom_region_connectivity(sim_matrix, custom_regions)\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Full matrix\n", + "im1 = axes[0].imshow(sim_matrix, cmap='Blues', vmin=0, vmax=1)\n", + "axes[0].set_title('Full Matrix (8 channels)', fontweight='bold')\n", + "axes[0].set_xlabel('Channel')\n", + "axes[0].set_ylabel('Channel')\n", + "plt.colorbar(im1, ax=axes[0], shrink=0.8)\n", + "\n", + "# Region matrix\n", + "im2 = axes[1].imshow(region_conn, cmap='Blues', vmin=0, vmax=1)\n", + "axes[1].set_xticks(range(len(reg_names)))\n", + "axes[1].set_yticks(range(len(reg_names)))\n", + "axes[1].set_xticklabels(reg_names)\n", + "axes[1].set_yticklabels(reg_names)\n", + "axes[1].set_title('Region Matrix', fontweight='bold')\n", + "plt.colorbar(im2, ax=axes[1], shrink=0.8)\n", + "\n", + "# Add values\n", + "for i in range(len(reg_names)):\n", + " for j in range(len(reg_names)):\n", + " val = region_conn[i, j]\n", + " if not np.isnan(val):\n", + " axes[1].text(j, i, f'{val:.2f}', ha='center', va='center', fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Region averaging reduces the 8×8 matrix to a 3×3 region matrix.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a789c844", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 3 SOLUTION: Thresholding\n", + "# ============================================================================\n", + "\n", + "def threshold_matrix(matrix: NDArray[np.floating], \n", + " threshold: float) -> Tuple[NDArray[np.int_], int, float]:\n", + " \"\"\"\n", + " Apply threshold to connectivity matrix.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.floating]\n", + " Connectivity matrix.\n", + " threshold : float\n", + " Threshold value (connections > threshold are significant).\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.int_], int, float]\n", + " Binary matrix, number of significant connections, and density.\n", + " \"\"\"\n", + " # Create binary matrix\n", + " binary = (matrix > threshold).astype(int)\n", + " \n", + " # Set diagonal to 0 (no self-connections)\n", + " np.fill_diagonal(binary, 0)\n", + " \n", + " # Count significant connections (upper triangle only for symmetric)\n", + " n = matrix.shape[0]\n", + " n_significant = np.sum(np.triu(binary, k=1))\n", + " \n", + " # Compute density\n", + " n_possible = n * (n - 1) // 2\n", + " density = n_significant / n_possible if n_possible > 0 else 0\n", + " \n", + " return binary, n_significant, density\n", + "\n", + "\n", + "# Test with different thresholds\n", + "np.random.seed(42)\n", + "test_matrix = np.random.uniform(0.1, 0.8, (10, 10))\n", + "test_matrix = (test_matrix + test_matrix.T) / 2\n", + "np.fill_diagonal(test_matrix, np.nan)\n", + "\n", + "thresholds_test = [0.3, 0.5, 0.7]\n", + "\n", + "fig, axes = plt.subplots(1, len(thresholds_test) + 1, figsize=(15, 4))\n", + "\n", + "# Original matrix\n", + "im0 = axes[0].imshow(test_matrix, cmap='Blues', vmin=0, vmax=1)\n", + "axes[0].set_title('Original Matrix', fontweight='bold')\n", + "plt.colorbar(im0, ax=axes[0], shrink=0.8)\n", + "\n", + "# Thresholded matrices\n", + "for idx, thresh in enumerate(thresholds_test):\n", + " binary, n_sig, dens = threshold_matrix(test_matrix, thresh)\n", + " \n", + " axes[idx + 1].imshow(binary, cmap='Greys', vmin=0, vmax=1)\n", + " axes[idx + 1].set_title(f'Threshold = {thresh}\\n{n_sig} connections ({dens:.0%})', \n", + " fontweight='bold')\n", + "\n", + "plt.suptitle('Exercise 3: Thresholding Connectivity Matrix', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Higher threshold → fewer connections → sparser network\")" + ] + }, + { + "cell_type": "markdown", + "id": "fe73a686", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 2. Phase as a Circular Variable\n", + "\n", + "Phase is an **angle**, typically represented in radians within the range [-π, π] or [0, 2π]. The key property that makes phase special is that it **wraps around**: a phase of π + 0.1 is actually very close to -π + 0.1, because they represent nearly the same position on the circle.\n", + "\n", + "**Analogy: Clock times**\n", + "\n", + "Consider the times 11:55 PM and 00:05 AM. Numerically, they seem very different (almost 12 hours apart), but in reality they are only 10 minutes apart. This is exactly how phase works!\n", + "\n", + "**The averaging problem**\n", + "\n", + "Linear arithmetic fails with circular data. Consider two phase values:\n", + "- φ₁ = -0.9π (just below -π, on the \"negative\" side)\n", + "- φ₂ = +0.9π (just above π, on the \"positive\" side)\n", + "\n", + "The linear mean is (−0.9π + 0.9π) / 2 = 0. But this is completely wrong! Both phases are near π (or equivalently -π), so the mean should be approximately ±π.\n", + "\n", + "We need **circular (directional) statistics** to handle phase correctly." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "979f655d", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 4 SOLUTION: Hyperscanning Analysis\n", + "# ============================================================================\n", + "\n", + "from scipy.signal import hilbert\n", + "\n", + "def compute_plv_simple(sig1: NDArray, sig2: NDArray) -> float:\n", + " \"\"\"Simple PLV computation for this exercise.\"\"\"\n", + " phase1 = np.angle(hilbert(sig1))\n", + " phase2 = np.angle(hilbert(sig2))\n", + " return np.abs(np.mean(np.exp(1j * (phase1 - phase2))))\n", + "\n", + "\n", + "# Parameters\n", + "n_ch_ex4 = 4 # Channels per participant\n", + "fs_ex4 = 256\n", + "duration_ex4 = 5\n", + "n_samples_ex4 = int(fs_ex4 * duration_ex4)\n", + "t_ex4 = np.arange(n_samples_ex4) / fs_ex4\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Strategy: Use NARROWBAND NOISE instead of pure sinusoids\n", + "# Narrowband noise has fluctuating phase - perfect for realistic PLV simulation\n", + "\n", + "from scipy.signal import butter, filtfilt\n", + "\n", + "# Create bandpass filter for 9-11 Hz (narrow alpha)\n", + "b, a = butter(4, [9/128, 11/128], btype='band')\n", + "\n", + "# Generate INDEPENDENT white noise sources, then filter to get narrowband signals\n", + "# Key insight: filtered noise has random phase that varies over time\n", + "\n", + "# P1: All channels share a COMMON narrowband noise source\n", + "white_noise_p1 = np.random.randn(n_samples_ex4)\n", + "source_p1 = filtfilt(b, a, white_noise_p1)\n", + "\n", + "data_p1_ex4 = np.zeros((n_ch_ex4, n_samples_ex4))\n", + "for ch in range(n_ch_ex4):\n", + " # Small independent noise added -> high within-P1 PLV (~0.8-0.9)\n", + " channel_noise = 0.3 * np.random.randn(n_samples_ex4)\n", + " data_p1_ex4[ch] = source_p1 + filtfilt(b, a, channel_noise)\n", + "\n", + "# P2: All channels share a DIFFERENT narrowband noise source (independent from P1)\n", + "white_noise_p2 = np.random.randn(n_samples_ex4) # Completely independent!\n", + "source_p2 = filtfilt(b, a, white_noise_p2)\n", + "\n", + "data_p2_ex4 = np.zeros((n_ch_ex4, n_samples_ex4))\n", + "for ch in range(n_ch_ex4):\n", + " # Small independent noise added -> high within-P2 PLV (~0.8-0.9)\n", + " channel_noise = 0.3 * np.random.randn(n_samples_ex4)\n", + " data_p2_ex4[ch] = source_p2 + filtfilt(b, a, channel_noise)\n", + "\n", + "# No additional filtering needed - data is already bandpass filtered\n", + "\n", + "# Compute full hyperscanning matrix\n", + "n_total_ex4 = 2 * n_ch_ex4\n", + "hyper_matrix_ex4 = np.zeros((n_total_ex4, n_total_ex4))\n", + "\n", + "# Combine data\n", + "all_data_ex4 = np.vstack([data_p1_ex4, data_p2_ex4])\n", + "\n", + "for i in range(n_total_ex4):\n", + " for j in range(n_total_ex4):\n", + " if i == j:\n", + " hyper_matrix_ex4[i, j] = np.nan\n", + " else:\n", + " hyper_matrix_ex4[i, j] = compute_plv_simple(all_data_ex4[i], all_data_ex4[j])\n", + "\n", + "# Extract blocks\n", + "within_p1_ex4 = hyper_matrix_ex4[:n_ch_ex4, :n_ch_ex4]\n", + "within_p2_ex4 = hyper_matrix_ex4[n_ch_ex4:, n_ch_ex4:]\n", + "between_ex4 = hyper_matrix_ex4[:n_ch_ex4, n_ch_ex4:]\n", + "\n", + "# Compute means\n", + "mean_within_p1 = np.nanmean(within_p1_ex4)\n", + "mean_within_p2 = np.nanmean(within_p2_ex4)\n", + "mean_between = np.nanmean(between_ex4)\n", + "ratio_ex4 = mean_between / ((mean_within_p1 + mean_within_p2) / 2)\n", + "\n", + "# Visualize\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Full matrix\n", + "im = axes[0].imshow(hyper_matrix_ex4, cmap='Blues', vmin=0, vmax=1)\n", + "axes[0].axhline(n_ch_ex4 - 0.5, color='red', linewidth=2)\n", + "axes[0].axvline(n_ch_ex4 - 0.5, color='red', linewidth=2)\n", + "axes[0].set_title('Hyperscanning Matrix', fontweight='bold')\n", + "axes[0].set_xlabel('Channel')\n", + "axes[0].set_ylabel('Channel')\n", + "plt.colorbar(im, ax=axes[0], shrink=0.8)\n", + "\n", + "# Add block labels with background box for visibility\n", + "bbox_props = dict(boxstyle='round,pad=0.3', facecolor='white', alpha=0.7, edgecolor='none')\n", + "axes[0].text(n_ch_ex4/2 - 0.5, n_ch_ex4/2 - 0.5, 'P1↔P1', ha='center', va='center', \n", + " fontsize=11, fontweight='bold', color='darkblue', bbox=bbox_props)\n", + "axes[0].text(n_ch_ex4 + n_ch_ex4/2 - 0.5, n_ch_ex4 + n_ch_ex4/2 - 0.5, 'P2↔P2', \n", + " ha='center', va='center', fontsize=11, fontweight='bold', color='darkblue', bbox=bbox_props)\n", + "axes[0].text(n_ch_ex4 + n_ch_ex4/2 - 0.5, n_ch_ex4/2 - 0.5, 'P1↔P2', \n", + " ha='center', va='center', fontsize=11, fontweight='bold', color='darkblue', bbox=bbox_props)\n", + "\n", + "# Bar chart of means\n", + "categories_ex4 = ['Within P1', 'Within P2', 'Between']\n", + "means_ex4 = [mean_within_p1, mean_within_p2, mean_between]\n", + "colors_ex4 = [SUBJECT_1, SUBJECT_2, SECONDARY_PURPLE]\n", + "\n", + "bars = axes[1].bar(categories_ex4, means_ex4, color=colors_ex4, alpha=0.8)\n", + "axes[1].set_ylabel('Mean PLV', fontsize=12)\n", + "axes[1].set_title(f'Block Averages (Ratio = {ratio_ex4:.2f})', fontweight='bold')\n", + "axes[1].set_ylim(0, 1.15)\n", + "\n", + "for bar, val in zip(bars, means_ex4):\n", + " axes[1].text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.03,\n", + " f'{val:.3f}', ha='center', fontsize=11, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Within P1 mean PLV: {mean_within_p1:.3f}\")\n", + "print(f\"Within P2 mean PLV: {mean_within_p2:.3f}\")\n", + "print(f\"Between mean PLV: {mean_between:.3f}\")\n", + "print(f\"Between/Within ratio: {ratio_ex4:.3f}\")\n", + "print(f\"\\n→ Ratio < 1 confirms weaker between-participant coupling as expected!\")" + ] + }, + { + "cell_type": "markdown", + "id": "e8660d53", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Summary\n", + "\n", + "In this notebook, we learned how to organize, compute, and visualize **connectivity matrices** for multi-channel EEG and hyperscanning data.\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Description |\n", + "|---------|-------------|\n", + "| **Connectivity Matrix** | n×n array storing pairwise connectivity values |\n", + "| **Symmetry** | For undirected metrics (PLV, coherence), M[i,j] = M[j,i] |\n", + "| **Diagonal** | Typically NaN (self-connectivity is meaningless) |\n", + "| **Upper Triangle** | Contains all unique values for symmetric matrices |\n", + "| **Region Averaging** | Reduces noise by averaging within brain regions |\n", + "| **Hyperscanning Matrix** | 2n×2n with within and between blocks |\n", + "| **Between Block** | P1↔P2 connectivity — no volume conduction! |\n", + "\n", + "### Functions Created\n", + "\n", + "**Matrix Operations:**\n", + "- `get_n_pairs(n)` — Number of unique channel pairs\n", + "- `get_pair_indices(n)` — List of (i, j) pairs\n", + "- `compute_connectivity_matrix()` — Compute full matrix\n", + "- `get_upper_triangle_values()` — Extract unique values\n", + "- `upper_triangle_to_matrix()` — Reconstruct from values\n", + "\n", + "**Region Analysis:**\n", + "- `define_channel_groups()` — Map channels to regions\n", + "- `compute_region_connectivity()` — Average by region\n", + "\n", + "**Hyperscanning:**\n", + "- `compute_hyperscanning_connectivity()` — Full hyperscanning analysis\n", + "- `extract_between_participant_matrix()` — Get inter-brain block\n", + "\n", + "**Visualization:**\n", + "- `plot_connectivity_matrix()` — Heatmap visualization\n", + "- `plot_circular_connectivity()` — Network diagram\n", + "- `plot_hyperscanning_matrix()` — Annotated hyperscanning heatmap\n", + "- `plot_hyperscanning_circular()` — Two-brain circular plot\n", + "\n", + "**Global Metrics:**\n", + "- `compute_global_connectivity()` — Mean connectivity\n", + "- `compute_connection_density()` — Proportion above threshold\n", + "- `compute_hyperscanning_ratio()` — Between/within ratio\n", + "\n", + "**Validation:**\n", + "- `validate_connectivity_matrix()` — Check matrix properties\n", + "- `get_matrix_statistics()` — Summary statistics" + ] + }, + { + "cell_type": "markdown", + "id": "ae1e82dd", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Discussion Questions\n", + "\n", + "1. **Scale considerations**: You have 64-channel EEG from two participants (128 channels total). How many unique between-participant channel pairs are there? If each PLV computation takes 0.01 seconds, how long would the full analysis take?\n", + "\n", + "2. **High connectivity everywhere**: Your connectivity matrix shows high values everywhere (mean PLV = 0.85). What might cause this? Is it necessarily a problem?\n", + "\n", + "3. **Visualization choice**: When would you prefer a circular connectivity plot over a heatmap? When would the heatmap be better?\n", + "\n", + "4. **Why separate matrices?**: In hyperscanning, why might we want to analyze the between-participant matrix separately from the within-participant matrices?\n", + "\n", + "5. **Comparing conditions**: You're comparing connectivity between a \"cooperation\" and \"competition\" condition. Would you compare full matrices, between-participant matrices, or global metrics? What are the trade-offs?\n", + "\n", + "---\n", + "\n", + "## Next Steps\n", + "\n", + "In the upcoming notebooks, we will:\n", + "- **C03**: Learn about statistical significance testing for connectivity values\n", + "- **D01-D03**: Explore information-theoretic approaches (entropy, mutual information, transfer entropy)\n", + "- **F01-G03**: Dive deep into specific connectivity metrics (coherence, PLV, PLI, wPLI)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/C_connectivity_concepts/C03_statistical_significance.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/C_connectivity_concepts/C03_statistical_significance.ipynb new file mode 100644 index 0000000..453a0e3 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/C_connectivity_concepts/C03_statistical_significance.ipynb @@ -0,0 +1,2414 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "242e7f67", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# C03: Statistical Significance for Connectivity\n", + "# ============================================================================\n", + "#\n", + "# This notebook covers how to determine whether connectivity values are\n", + "# statistically significant. We'll learn to generate surrogate data,\n", + "# build null distributions, and apply proper multiple comparisons correction.\n", + "#\n", + "# Duration: ~70 minutes\n", + "# Prerequisites: C02 (Connectivity Matrices), basic statistics\n", + "#\n", + "# ============================================================================\n", + "\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from scipy import stats\n", + "from scipy.signal import butter, filtfilt, hilbert\n", + "from scipy.fft import fft, ifft\n", + "from typing import Any, Dict, List, Optional, Tuple\n", + "from numpy.typing import NDArray\n", + "\n", + "# Import from local src\n", + "import sys\n", + "sys.path.insert(0, '../../..')\n", + "\n", + "from src.colors import COLORS\n", + "\n", + "# Define color shortcuts for this notebook\n", + "PRIMARY_BLUE = COLORS['signal_1'] # Sky Blue\n", + "PRIMARY_RED = COLORS['negative'] # Coral Red\n", + "PRIMARY_GREEN = COLORS['signal_3'] # Sage Green\n", + "SECONDARY_PURPLE = COLORS['signal_5'] # Lavender\n", + "SECONDARY_ORANGE = COLORS['signal_4'] # Golden\n", + "SUBJECT_1 = COLORS['signal_1'] # Sky Blue\n", + "SUBJECT_2 = COLORS['signal_2'] # Rose Pink\n", + "\n", + "# Plotting defaults\n", + "plt.rcParams['figure.facecolor'] = 'white'\n", + "plt.rcParams['axes.facecolor'] = 'white'\n", + "plt.rcParams['axes.grid'] = True\n", + "plt.rcParams['grid.alpha'] = 0.3\n", + "\n", + "# Constants\n", + "fs = 256 # Sampling frequency (Hz)\n", + "\n", + "print(\"Imports successful!\")\n", + "print(f\"NumPy version: {np.__version__}\")\n", + "print(f\"Sampling frequency: {fs} Hz\")" + ] + }, + { + "cell_type": "markdown", + "id": "13231737", + "metadata": {}, + "source": [ + "## Section 1: Introduction — Why Significance Matters\n", + "\n", + "Connectivity metrics **always** give you a number. You compute PLV between two channels and get 0.35. But what does that mean? Is it \"high\"? \"Low\"? \"Significant\"?\n", + "\n", + "The answer depends on what you would expect **by chance**. Even two completely unrelated signals will show some non-zero connectivity due to random fluctuations. The critical question is: *Is our observed value unlikely to occur by chance alone?*\n", + "\n", + "### Why This Matters\n", + "\n", + "Without proper statistical testing:\n", + "- **False positives**: You claim connectivity that isn't really there\n", + "- **False negatives**: You miss true connectivity\n", + "- **Non-reproducible results**: Your findings won't replicate\n", + "\n", + "Scientific claims require statistical validation. This notebook teaches you how to do it **correctly**.\n", + "\n", + "> **Key message**: *\"A connectivity value without a p-value is just a number.\"*" + ] + }, + { + "cell_type": "markdown", + "id": "aff89685", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 2: The Null Hypothesis for Connectivity\n", + "\n", + "In hypothesis testing, we define two competing hypotheses:\n", + "\n", + "- **Null hypothesis (H₀)**: There is NO true connectivity between the signals. Any measured connectivity is due to chance.\n", + "- **Alternative hypothesis (H₁)**: True connectivity exists between the signals.\n", + "\n", + "### What Does \"No Connectivity\" Look Like?\n", + "\n", + "Under H₀, signals may have:\n", + "- Similar spectral properties (same frequency content)\n", + "- Similar amplitude characteristics\n", + "- **But NO consistent phase or amplitude relationship**\n", + "\n", + "### The Testing Procedure\n", + "\n", + "1. Determine the **distribution of connectivity under H₀** (null distribution)\n", + "2. Ask: Is our observed value unlikely under this distribution?\n", + "3. If unlikely (p < α) → Reject H₀ → Claim significant connectivity\n", + "\n", + "The key challenge is: **How do we build the null distribution?**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b41dcb89", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 1: Conceptual Null Distribution\n", + "# ============================================================================\n", + "\n", + "# Create a conceptual null distribution\n", + "np.random.seed(42)\n", + "null_distribution = np.random.beta(2, 5, 1000) * 0.5 + 0.1 # Skewed towards low values\n", + "observed_value = 0.42\n", + "\n", + "# Compute p-value\n", + "pvalue = np.mean(null_distribution >= observed_value)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "# Plot histogram\n", + "n, bins, patches = ax.hist(null_distribution, bins=40, density=True, \n", + " color=PRIMARY_BLUE, alpha=0.7, edgecolor='white')\n", + "\n", + "# Color the tail\n", + "for i, (patch, left_edge) in enumerate(zip(patches, bins[:-1])):\n", + " if left_edge >= observed_value:\n", + " patch.set_facecolor(PRIMARY_RED)\n", + " patch.set_alpha(0.8)\n", + "\n", + "# Add observed value line\n", + "ax.axvline(observed_value, color=PRIMARY_RED, linewidth=3, linestyle='--',\n", + " label=f'Observed = {observed_value}')\n", + "\n", + "# Annotations\n", + "ax.annotate(f'p-value = {pvalue:.3f}\\n(shaded area)', \n", + " xy=(observed_value + 0.02, 1.5),\n", + " fontsize=12, fontweight='bold', color=PRIMARY_RED)\n", + "\n", + "ax.set_xlabel('Connectivity Value (PLV)', fontsize=12)\n", + "ax.set_ylabel('Density', fontsize=12)\n", + "ax.set_title('Is Our Observation in the Tail of the Null Distribution?', \n", + " fontsize=14, fontweight='bold')\n", + "ax.legend(fontsize=11)\n", + "ax.set_xlim(0, 0.7)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Observed value: {observed_value}\")\n", + "print(f\"P-value: {pvalue:.3f}\")\n", + "if pvalue < 0.05:\n", + " print(\"→ Result is SIGNIFICANT at α = 0.05\")\n", + "else:\n", + " print(\"→ Result is NOT significant at α = 0.05\")" + ] + }, + { + "cell_type": "markdown", + "id": "dc96484d", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 3: Surrogate Data Methods\n", + "\n", + "To build a null distribution, we need data that satisfies H₀ — signals with **no true connectivity**. We create this using **surrogate data**.\n", + "\n", + "### What is Surrogate Data?\n", + "\n", + "Surrogate data is artificial data that:\n", + "- **Preserves** certain properties of the original (e.g., power spectrum)\n", + "- **Destroys** the property we're testing (e.g., phase relationship)\n", + "\n", + "### Common Surrogate Methods\n", + "\n", + "| Method | Preserves | Destroys | Best For |\n", + "|--------|-----------|----------|----------|\n", + "| **Phase shuffling** | Power spectrum | Phase relationships | PLV, coherence |\n", + "| **Time shifting** | Amplitude, approximate spectrum | Temporal alignment | Quick checks |\n", + "| **Trial shuffling** | Individual trials | Trial pairing | Across-trial analyses |\n", + "| **AAFT** | Amplitude distribution + spectrum | Phase relationships | Strict tests |\n", + "\n", + "### The Procedure\n", + "\n", + "1. Generate surrogate data (many times)\n", + "2. Compute connectivity for each surrogate\n", + "3. Build histogram of surrogate connectivity values\n", + "4. This histogram IS the null distribution!\n", + "\n", + "Let's implement the most common methods." + ] + }, + { + "cell_type": "markdown", + "id": "838116b8", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 4: Phase Shuffling — The Gold Standard\n", + "\n", + "Phase shuffling is the **most common** method for testing phase-based connectivity (PLV, coherence). The idea is elegant:\n", + "\n", + "### How It Works\n", + "\n", + "1. Transform the signal to the frequency domain (FFT)\n", + "2. **Randomly shuffle the phases** while keeping magnitudes intact\n", + "3. Transform back to time domain (IFFT)\n", + "\n", + "### What This Preserves and Destroys\n", + "\n", + "✅ **Preserves**: Power spectrum (all magnitudes unchanged) \n", + "❌ **Destroys**: Any phase relationship between signals\n", + "\n", + "### Why This Works\n", + "\n", + "If there's true phase synchronization:\n", + "- The original phases have a consistent relationship\n", + "- Shuffling makes them random → connectivity drops\n", + "\n", + "If there's NO true synchronization:\n", + "- Phases were already random\n", + "- Shuffling makes no difference → similar connectivity values\n", + "\n", + "Let's implement it step by step." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f9b8174", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 2: Understanding Phase Shuffling Step by Step\n", + "# ============================================================================\n", + "\n", + "def phase_shuffle(signal: NDArray[np.floating]) -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Create a phase-shuffled surrogate of a signal.\n", + " \n", + " Preserves the power spectrum while randomizing phase relationships.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.floating]\n", + " Input signal (1D array).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Phase-shuffled surrogate signal.\n", + " \"\"\"\n", + " n = len(signal)\n", + " \n", + " # FFT\n", + " spectrum = fft(signal)\n", + " \n", + " # Get magnitude and phase\n", + " magnitude = np.abs(spectrum)\n", + " \n", + " # Generate random phases (symmetric for real output)\n", + " random_phases = np.random.uniform(0, 2 * np.pi, n // 2 + 1)\n", + " \n", + " # Build symmetric phase array for real signal\n", + " if n % 2 == 0: # Even length\n", + " new_phases = np.concatenate([\n", + " [0], # DC component (no phase)\n", + " random_phases[1:-1],\n", + " [0], # Nyquist (no phase)\n", + " -random_phases[-2:0:-1] # Negative frequencies\n", + " ])\n", + " else: # Odd length\n", + " new_phases = np.concatenate([\n", + " [0], # DC component\n", + " random_phases[1:],\n", + " -random_phases[-1:0:-1] # Negative frequencies\n", + " ])\n", + " \n", + " # Reconstruct spectrum with new phases\n", + " surrogate_spectrum = magnitude * np.exp(1j * new_phases)\n", + " \n", + " # Inverse FFT\n", + " surrogate = np.real(ifft(surrogate_spectrum))\n", + " \n", + " return surrogate\n", + "\n", + "\n", + "# Create example signal\n", + "np.random.seed(42)\n", + "t = np.arange(0, 2, 1/fs)\n", + "original = np.sin(2 * np.pi * 10 * t) + 0.3 * np.sin(2 * np.pi * 25 * t)\n", + "original += 0.2 * np.random.randn(len(t))\n", + "\n", + "# Create surrogate\n", + "surrogate = phase_shuffle(original)\n", + "\n", + "# Compute spectra\n", + "freq = np.fft.fftfreq(len(original), 1/fs)\n", + "spectrum_original = np.abs(fft(original))\n", + "spectrum_surrogate = np.abs(fft(surrogate))\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 8))\n", + "\n", + "# Time domain - original\n", + "axes[0, 0].plot(t[:256], original[:256], color=PRIMARY_BLUE, linewidth=1.5)\n", + "axes[0, 0].set_title('Original Signal', fontsize=12, fontweight='bold')\n", + "axes[0, 0].set_xlabel('Time (s)')\n", + "axes[0, 0].set_ylabel('Amplitude')\n", + "axes[0, 0].set_xlim(0, 1)\n", + "\n", + "# Time domain - surrogate\n", + "axes[0, 1].plot(t[:256], surrogate[:256], color=SECONDARY_ORANGE, linewidth=1.5)\n", + "axes[0, 1].set_title('Phase-Shuffled Surrogate', fontsize=12, fontweight='bold')\n", + "axes[0, 1].set_xlabel('Time (s)')\n", + "axes[0, 1].set_ylabel('Amplitude')\n", + "axes[0, 1].set_xlim(0, 1)\n", + "\n", + "# Frequency domain - original\n", + "pos_freq = freq[:len(freq)//2]\n", + "axes[1, 0].plot(pos_freq, spectrum_original[:len(freq)//2], \n", + " color=PRIMARY_BLUE, linewidth=1.5)\n", + "axes[1, 0].set_title('Power Spectrum (Original)', fontsize=12, fontweight='bold')\n", + "axes[1, 0].set_xlabel('Frequency (Hz)')\n", + "axes[1, 0].set_ylabel('Magnitude')\n", + "axes[1, 0].set_xlim(0, 50)\n", + "\n", + "# Frequency domain - surrogate\n", + "axes[1, 1].plot(pos_freq, spectrum_surrogate[:len(freq)//2], \n", + " color=SECONDARY_ORANGE, linewidth=1.5)\n", + "axes[1, 1].set_title('Power Spectrum (Surrogate)', fontsize=12, fontweight='bold')\n", + "axes[1, 1].set_xlabel('Frequency (Hz)')\n", + "axes[1, 1].set_ylabel('Magnitude')\n", + "axes[1, 1].set_xlim(0, 50)\n", + "\n", + "plt.suptitle('Phase Shuffling: Time Domain Changes, Spectrum Preserved', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Original and surrogate look different in time domain\")\n", + "print(\"✓ But their power spectra are IDENTICAL!\")\n", + "print(f\" Correlation of spectra: {np.corrcoef(spectrum_original, spectrum_surrogate)[0,1]:.6f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "8e4802bd", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 5: Time Shifting — A Faster Alternative\n", + "\n", + "Time shifting is simpler and faster than phase shuffling. It's useful for quick exploratory analyses.\n", + "\n", + "### How It Works\n", + "\n", + "1. Shift one signal by a **random time lag**\n", + "2. This breaks the temporal alignment between signals\n", + "\n", + "### What This Preserves and Destroys\n", + "\n", + "✅ **Preserves**: Exact waveform, amplitude distribution \n", + "❌ **Destroys**: Temporal alignment (and thus phase relationships)\n", + "\n", + "### Pros and Cons\n", + "\n", + "| Aspect | Assessment |\n", + "|--------|------------|\n", + "| Speed | ⚡ Very fast |\n", + "| Simplicity | 👍 Easy to implement |\n", + "| Spectrum preservation | ⚠️ Approximate (edge effects) |\n", + "| Statistical rigor | ⚠️ Less rigorous than phase shuffling |\n", + "\n", + "### When to Use\n", + "\n", + "- Quick exploratory analyses\n", + "- Very long signals where edge effects are negligible\n", + "- When computational speed matters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "539a4056", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 3: Time Shifting Method\n", + "# ============================================================================\n", + "\n", + "def time_shift(signal: NDArray[np.floating], \n", + " min_shift: int = None,\n", + " max_shift: int = None) -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Create a time-shifted surrogate of a signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.floating]\n", + " Input signal (1D array).\n", + " min_shift : int, optional\n", + " Minimum shift (samples). Default: 10% of signal length.\n", + " max_shift : int, optional\n", + " Maximum shift (samples). Default: 90% of signal length.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Time-shifted surrogate signal (circular shift).\n", + " \"\"\"\n", + " n = len(signal)\n", + " \n", + " if min_shift is None:\n", + " min_shift = n // 10\n", + " if max_shift is None:\n", + " max_shift = 9 * n // 10\n", + " \n", + " # Random shift\n", + " shift = np.random.randint(min_shift, max_shift)\n", + " \n", + " # Circular shift (wraps around)\n", + " surrogate = np.roll(signal, shift)\n", + " \n", + " return surrogate\n", + "\n", + "\n", + "# Create example with two related signals\n", + "np.random.seed(42)\n", + "t = np.arange(0, 2, 1/fs)\n", + "\n", + "# Signal 1\n", + "signal1 = np.sin(2 * np.pi * 10 * t) + 0.3 * np.random.randn(len(t))\n", + "\n", + "# Signal 2: related to signal 1 (phase-locked)\n", + "signal2 = np.sin(2 * np.pi * 10 * t + np.pi/4) + 0.3 * np.random.randn(len(t))\n", + "\n", + "# Create time-shifted version\n", + "signal2_shifted = time_shift(signal2)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 8), sharex=True)\n", + "\n", + "# Signal 1\n", + "axes[0].plot(t, signal1, color=SUBJECT_1, linewidth=1.2, label='Signal 1')\n", + "axes[0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0].set_title('Signal 1 (Reference)', fontsize=12, fontweight='bold')\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].set_xlim(0, 1)\n", + "\n", + "# Signal 2 original\n", + "axes[1].plot(t, signal2, color=SUBJECT_2, linewidth=1.2, label='Signal 2 (original)')\n", + "axes[1].set_ylabel('Amplitude', fontsize=11)\n", + "axes[1].set_title('Signal 2 — Original (Phase-Locked to Signal 1)', fontsize=12, fontweight='bold')\n", + "axes[1].legend(loc='upper right')\n", + "\n", + "# Signal 2 shifted\n", + "axes[2].plot(t, signal2_shifted, color=SECONDARY_ORANGE, linewidth=1.2, \n", + " label='Signal 2 (time-shifted)')\n", + "axes[2].set_ylabel('Amplitude', fontsize=11)\n", + "axes[2].set_xlabel('Time (s)', fontsize=11)\n", + "axes[2].set_title('Signal 2 — Time-Shifted (Phase Relationship Broken)', fontsize=12, fontweight='bold')\n", + "axes[2].legend(loc='upper right')\n", + "\n", + "plt.suptitle('Time Shifting: Breaks Temporal Alignment', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Time shifting is a simple way to break phase relationships.\")\n", + "print(\"The shifted signal has the exact same samples, just in a different order.\")" + ] + }, + { + "cell_type": "markdown", + "id": "c3643a15", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 6: Building the Null Distribution\n", + "\n", + "Now we combine surrogate methods with a connectivity metric to build a proper null distribution.\n", + "\n", + "### The Process\n", + "\n", + "1. **Compute observed connectivity** between original signals\n", + "2. **Generate N surrogates** (typically 1000-10000)\n", + "3. **Compute connectivity** for each surrogate pair\n", + "4. **The distribution of surrogate values = null distribution**\n", + "\n", + "### Why N = 1000?\n", + "\n", + "The number of surrogates determines the **precision** of your p-value:\n", + "\n", + "| N surrogates | Minimum p-value | Precision |\n", + "|--------------|-----------------|-----------|\n", + "| 100 | 0.01 | ±0.01 |\n", + "| 1000 | 0.001 | ±0.001 |\n", + "| 10000 | 0.0001 | ±0.0001 |\n", + "\n", + "For typical significance threshold α = 0.05, N = 1000 is usually sufficient.\n", + "\n", + "Let's implement this with PLV (Phase Locking Value)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "efb1e189", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 4: Building a Null Distribution with PLV\n", + "# ============================================================================\n", + "\n", + "def compute_plv(signal1: NDArray[np.floating], \n", + " signal2: NDArray[np.floating]) -> float:\n", + " \"\"\"\n", + " Compute Phase Locking Value between two signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal1 : NDArray[np.floating]\n", + " First signal.\n", + " signal2 : NDArray[np.floating]\n", + " Second signal.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " PLV value between 0 and 1.\n", + " \"\"\"\n", + " # Get instantaneous phases\n", + " phase1 = np.angle(hilbert(signal1))\n", + " phase2 = np.angle(hilbert(signal2))\n", + " \n", + " # Compute phase difference\n", + " phase_diff = phase1 - phase2\n", + " \n", + " # PLV is the mean resultant length\n", + " plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " \n", + " return plv\n", + "\n", + "\n", + "def build_null_distribution(signal1: NDArray[np.floating],\n", + " signal2: NDArray[np.floating],\n", + " n_surrogates: int = 1000,\n", + " method: str = 'phase_shuffle') -> NDArray[np.floating]:\n", + " \"\"\"\n", + " Build null distribution of PLV using surrogate data.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal1 : NDArray[np.floating]\n", + " First signal.\n", + " signal2 : NDArray[np.floating]\n", + " Second signal.\n", + " n_surrogates : int\n", + " Number of surrogates to generate.\n", + " method : str\n", + " 'phase_shuffle' or 'time_shift'.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.floating]\n", + " Array of PLV values under the null hypothesis.\n", + " \"\"\"\n", + " null_values = np.zeros(n_surrogates)\n", + " \n", + " for i in range(n_surrogates):\n", + " # Create surrogate of signal2\n", + " if method == 'phase_shuffle':\n", + " surrogate = phase_shuffle(signal2)\n", + " else:\n", + " surrogate = time_shift(signal2)\n", + " \n", + " # Compute PLV\n", + " null_values[i] = compute_plv(signal1, surrogate)\n", + " \n", + " return null_values\n", + "\n", + "\n", + "# Create bandpass filter for alpha band (8-12 Hz)\n", + "def bandpass_filter(signal: NDArray[np.floating], \n", + " low: float, high: float, \n", + " fs: int) -> NDArray[np.floating]:\n", + " \"\"\"Apply bandpass filter to signal.\"\"\"\n", + " nyq = fs / 2\n", + " b, a = butter(4, [low/nyq, high/nyq], btype='band')\n", + " return filtfilt(b, a, signal)\n", + "\n", + "\n", + "# Create test signals: weakly phase-locked\n", + "np.random.seed(42)\n", + "t = np.arange(0, 5, 1/fs) # 5 seconds\n", + "\n", + "# Base oscillation\n", + "alpha = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Signal 1: alpha + noise\n", + "signal1 = alpha + 0.5 * np.random.randn(len(t))\n", + "signal1 = bandpass_filter(signal1, 8, 12, fs)\n", + "\n", + "# Signal 2: phase-shifted alpha + noise (weak coupling)\n", + "phase_jitter = 0.3 * np.random.randn(len(t)) # Add some phase jitter\n", + "signal2 = np.sin(2 * np.pi * 10 * t + np.pi/3 + np.cumsum(phase_jitter) * 0.01)\n", + "signal2 = signal2 + 0.5 * np.random.randn(len(t))\n", + "signal2 = bandpass_filter(signal2, 8, 12, fs)\n", + "\n", + "# Compute observed PLV\n", + "observed_plv = compute_plv(signal1, signal2)\n", + "\n", + "# Build null distribution (use fewer for demo speed)\n", + "print(\"Building null distribution (500 surrogates)...\")\n", + "null_dist = build_null_distribution(signal1, signal2, n_surrogates=500, method='phase_shuffle')\n", + "\n", + "# Compute p-value\n", + "p_value = np.mean(null_dist >= observed_plv)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: signals\n", + "axes[0].plot(t[:512], signal1[:512], color=SUBJECT_1, linewidth=1.2, label='Signal 1', alpha=0.8)\n", + "axes[0].plot(t[:512], signal2[:512], color=SUBJECT_2, linewidth=1.2, label='Signal 2', alpha=0.8)\n", + "axes[0].set_xlabel('Time (s)', fontsize=11)\n", + "axes[0].set_ylabel('Amplitude', fontsize=11)\n", + "axes[0].set_title('Filtered Signals (Alpha Band: 8-12 Hz)', fontsize=12, fontweight='bold')\n", + "axes[0].legend(loc='upper right')\n", + "axes[0].set_xlim(0, 2)\n", + "\n", + "# Right: null distribution\n", + "n, bins, patches = axes[1].hist(null_dist, bins=40, density=True, \n", + " color=PRIMARY_BLUE, alpha=0.7, edgecolor='white')\n", + "\n", + "# Color the tail\n", + "for patch, left_edge in zip(patches, bins[:-1]):\n", + " if left_edge >= observed_plv:\n", + " patch.set_facecolor(PRIMARY_RED)\n", + " patch.set_alpha(0.8)\n", + "\n", + "axes[1].axvline(observed_plv, color=PRIMARY_RED, linewidth=3, linestyle='--',\n", + " label=f'Observed PLV = {observed_plv:.3f}')\n", + "axes[1].set_xlabel('PLV (Phase Locking Value)', fontsize=11)\n", + "axes[1].set_ylabel('Density', fontsize=11)\n", + "axes[1].set_title('Null Distribution from Phase-Shuffled Surrogates', fontsize=12, fontweight='bold')\n", + "axes[1].legend(loc='upper right')\n", + "\n", + "# Add p-value annotation\n", + "significance = \"SIGNIFICANT\" if p_value < 0.05 else \"NOT significant\"\n", + "axes[1].annotate(f'p = {p_value:.3f}\\n({significance} at α=0.05)', \n", + " xy=(observed_plv, axes[1].get_ylim()[1] * 0.8),\n", + " fontsize=12, fontweight='bold', \n", + " color=PRIMARY_GREEN if p_value < 0.05 else PRIMARY_RED)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\nObserved PLV: {observed_plv:.4f}\")\n", + "print(f\"Null distribution: mean = {np.mean(null_dist):.4f}, std = {np.std(null_dist):.4f}\")\n", + "print(f\"P-value: {p_value:.4f}\")\n", + "print(f\"Result: {significance} at α = 0.05\")" + ] + }, + { + "cell_type": "markdown", + "id": "3ed23616", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 7: Computing P-Values\n", + "\n", + "The **p-value** is the probability of observing a value at least as extreme as our observed value, assuming the null hypothesis is true.\n", + "\n", + "### Formula\n", + "\n", + "For connectivity (where higher = more evidence of connectivity):\n", + "\n", + "$$p = \\frac{\\text{Number of surrogates} \\geq \\text{observed}}{N_{\\text{surrogates}}}$$\n", + "\n", + "### Interpretation\n", + "\n", + "| P-value | Interpretation |\n", + "|---------|---------------|\n", + "| p < 0.001 | Strong evidence against H₀ |\n", + "| p < 0.01 | Moderate evidence against H₀ |\n", + "| p < 0.05 | Weak evidence against H₀ |\n", + "| p ≥ 0.05 | Insufficient evidence to reject H₀ |\n", + "\n", + "### Important Notes\n", + "\n", + "⚠️ **P-value is NOT the probability that H₀ is true!**\n", + "\n", + "It's the probability of getting data this extreme IF H₀ were true.\n", + "\n", + "⚠️ **Threshold α is chosen BEFORE looking at data!**\n", + "\n", + "Common choices: 0.05, 0.01, 0.001" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "718c2133", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 5: P-Value Computation\n", + "# ============================================================================\n", + "\n", + "def compute_pvalue(observed: float, \n", + " null_distribution: NDArray[np.floating],\n", + " alternative: str = 'greater') -> float:\n", + " \"\"\"\n", + " Compute p-value from null distribution.\n", + " \n", + " Parameters\n", + " ----------\n", + " observed : float\n", + " Observed connectivity value.\n", + " null_distribution : NDArray[np.floating]\n", + " Null distribution values.\n", + " alternative : str\n", + " 'greater': test if observed > null (typical for connectivity)\n", + " 'less': test if observed < null\n", + " 'two-sided': test if observed differs from null\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " P-value.\n", + " \"\"\"\n", + " n = len(null_distribution)\n", + " \n", + " if alternative == 'greater':\n", + " p = (np.sum(null_distribution >= observed) + 1) / (n + 1)\n", + " elif alternative == 'less':\n", + " p = (np.sum(null_distribution <= observed) + 1) / (n + 1)\n", + " else: # two-sided\n", + " mean_null = np.mean(null_distribution)\n", + " deviation = np.abs(observed - mean_null)\n", + " p = (np.sum(np.abs(null_distribution - mean_null) >= deviation) + 1) / (n + 1)\n", + " \n", + " return p\n", + "\n", + "\n", + "# Demonstrate with different observed values\n", + "np.random.seed(42)\n", + "demo_null = np.random.beta(2, 8, 1000) * 0.5 # Null distribution\n", + "\n", + "observed_values = [0.15, 0.25, 0.35, 0.45]\n", + "colors = [PRIMARY_BLUE, SECONDARY_ORANGE, SECONDARY_PURPLE, PRIMARY_RED]\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Plot null distribution\n", + "ax.hist(demo_null, bins=50, density=True, color='lightgray', \n", + " edgecolor='white', alpha=0.7, label='Null distribution')\n", + "\n", + "# Add observed values\n", + "for obs, color in zip(observed_values, colors):\n", + " pval = compute_pvalue(obs, demo_null)\n", + " ax.axvline(obs, color=color, linewidth=2.5, linestyle='--',\n", + " label=f'Obs = {obs:.2f}, p = {pval:.3f}')\n", + "\n", + "ax.set_xlabel('Connectivity Value', fontsize=12)\n", + "ax.set_ylabel('Density', fontsize=12)\n", + "ax.set_title('Different Observed Values → Different P-Values', fontsize=14, fontweight='bold')\n", + "ax.legend(loc='upper right', fontsize=10)\n", + "\n", + "# Add significance threshold\n", + "ax.axhline(y=0, color='black', linewidth=0.5)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Observations further in the tail → smaller p-values\")\n", + "print(\"The further from the null, the more 'surprising' the result\")" + ] + }, + { + "cell_type": "markdown", + "id": "b0bf5ffb", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 8: The Multiple Comparisons Problem\n", + "\n", + "In connectivity analysis, we often test **many pairs** simultaneously. With a 64-channel EEG:\n", + "\n", + "$$\\text{Number of pairs} = \\frac{64 \\times 63}{2} = 2016 \\text{ pairs}$$\n", + "\n", + "### The Problem\n", + "\n", + "If we test each pair at α = 0.05:\n", + "- Expected false positives = 2016 × 0.05 ≈ **101 false connections!**\n", + "\n", + "This is called the **multiple comparisons problem** or **family-wise error rate (FWER)** inflation.\n", + "\n", + "### Visual Intuition\n", + "\n", + "Imagine flipping a fair coin 2016 times. You'd expect about 101 heads by chance alone. Similarly, testing 2016 pairs will give ~101 \"significant\" results even when there's NO true connectivity!\n", + "\n", + "### Solutions\n", + "\n", + "We need to **correct** our significance threshold. Two main approaches:\n", + "\n", + "1. **Bonferroni correction**: Control the family-wise error rate (FWER)\n", + "2. **FDR correction**: Control the false discovery rate (FDR)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c5730533", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 6: The Multiple Comparisons Problem\n", + "# ============================================================================\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Simulate testing 100 pairs with NO true connectivity\n", + "n_tests = 100\n", + "alpha = 0.05\n", + "\n", + "# Generate p-values under null (uniform distribution)\n", + "# When H0 is true, p-values are uniformly distributed between 0 and 1\n", + "pvalues_null = np.random.uniform(0, 1, n_tests)\n", + "\n", + "# Count false positives\n", + "false_positives = np.sum(pvalues_null < alpha)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: p-value distribution\n", + "axes[0].hist(pvalues_null, bins=20, color=PRIMARY_BLUE, edgecolor='white', alpha=0.7)\n", + "axes[0].axvline(alpha, color=PRIMARY_RED, linewidth=2, linestyle='--', \n", + " label=f'α = {alpha}')\n", + "axes[0].fill_between([0, alpha], 0, axes[0].get_ylim()[1] + 5, \n", + " color=PRIMARY_RED, alpha=0.2, label=f'Rejected ({false_positives})')\n", + "axes[0].set_xlabel('P-value', fontsize=12)\n", + "axes[0].set_ylabel('Count', fontsize=12)\n", + "axes[0].set_title('P-Values When H₀ is TRUE for ALL Tests', fontsize=12, fontweight='bold')\n", + "axes[0].legend()\n", + "axes[0].set_ylim(0, 15)\n", + "\n", + "# Right: expected vs observed false positives\n", + "n_simulations = 1000\n", + "false_positive_counts = []\n", + "\n", + "for _ in range(n_simulations):\n", + " pvals = np.random.uniform(0, 1, n_tests)\n", + " fp = np.sum(pvals < alpha)\n", + " false_positive_counts.append(fp)\n", + "\n", + "axes[1].hist(false_positive_counts, bins=range(0, 20), color=PRIMARY_RED, \n", + " edgecolor='white', alpha=0.7, density=True)\n", + "axes[1].axvline(n_tests * alpha, color='black', linewidth=2, linestyle='-',\n", + " label=f'Expected: {n_tests * alpha:.0f}')\n", + "axes[1].set_xlabel('Number of False Positives', fontsize=12)\n", + "axes[1].set_ylabel('Probability', fontsize=12)\n", + "axes[1].set_title(f'False Positives Distribution ({n_tests} tests, α={alpha})', \n", + " fontsize=12, fontweight='bold')\n", + "axes[1].legend()\n", + "\n", + "plt.suptitle('The Multiple Comparisons Problem: False Positives Accumulate!', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"With {n_tests} tests at α = {alpha}:\")\n", + "print(f\" Expected false positives: {n_tests * alpha:.0f}\")\n", + "print(f\" Actual false positives (this simulation): {false_positives}\")\n", + "print(f\"\\nWith 2016 EEG pairs: expected ~{int(2016 * 0.05)} false connections!\")" + ] + }, + { + "cell_type": "markdown", + "id": "de18f3c7", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 9: Bonferroni Correction\n", + "\n", + "The **Bonferroni correction** is the simplest and most conservative approach.\n", + "\n", + "### The Idea\n", + "\n", + "Divide the significance threshold by the number of tests:\n", + "\n", + "$$\\alpha_{\\text{corrected}} = \\frac{\\alpha}{N_{\\text{tests}}}$$\n", + "\n", + "### Example\n", + "\n", + "With 100 tests and α = 0.05:\n", + "\n", + "$$\\alpha_{\\text{corrected}} = \\frac{0.05}{100} = 0.0005$$\n", + "\n", + "### Properties\n", + "\n", + "| Aspect | Assessment |\n", + "|--------|------------|\n", + "| Controls | Family-Wise Error Rate (FWER) |\n", + "| Conservative? | ✓ Very conservative |\n", + "| Power | ↓ Reduced (misses true effects) |\n", + "| Best for | Few tests, need strict control |\n", + "\n", + "### When to Use\n", + "\n", + "- You have **few** tests (< 20)\n", + "- False positives are **very costly**\n", + "- You need to claim \"at least one\" significant result\n", + "\n", + "### When NOT to Use\n", + "\n", + "- Many tests (> 100) — too conservative\n", + "- Exploratory analysis — misses true effects" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "79786a95", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 7: Bonferroni Correction\n", + "# ============================================================================\n", + "\n", + "def bonferroni_correction(pvalues: NDArray[np.floating], \n", + " alpha: float = 0.05) -> Tuple[NDArray[np.bool_], float]:\n", + " \"\"\"\n", + " Apply Bonferroni correction to p-values.\n", + " \n", + " Parameters\n", + " ----------\n", + " pvalues : NDArray[np.floating]\n", + " Array of p-values.\n", + " alpha : float\n", + " Desired family-wise error rate.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.bool_], float]\n", + " Boolean mask of significant tests, and corrected alpha.\n", + " \"\"\"\n", + " n_tests = len(pvalues)\n", + " alpha_corrected = alpha / n_tests\n", + " significant = pvalues < alpha_corrected\n", + " \n", + " return significant, alpha_corrected\n", + "\n", + "\n", + "# Simulate scenario with some true effects\n", + "np.random.seed(42)\n", + "n_tests = 50\n", + "n_true_effects = 5 # 5 pairs with real connectivity\n", + "\n", + "# Generate p-values\n", + "pvalues = np.random.uniform(0, 1, n_tests)\n", + "# Make some small (true effects)\n", + "true_effect_indices = np.random.choice(n_tests, n_true_effects, replace=False)\n", + "pvalues[true_effect_indices] = np.random.uniform(0.001, 0.03, n_true_effects)\n", + "\n", + "# Apply corrections\n", + "alpha = 0.05\n", + "alpha_bonf = alpha / n_tests\n", + "\n", + "# Uncorrected\n", + "sig_uncorrected = pvalues < alpha\n", + "# Bonferroni\n", + "sig_bonf, _ = bonferroni_correction(pvalues, alpha)\n", + "\n", + "# Sort for visualization\n", + "sort_idx = np.argsort(pvalues)\n", + "pvalues_sorted = pvalues[sort_idx]\n", + "\n", + "# Track which are true effects\n", + "is_true_effect = np.isin(np.arange(n_tests), true_effect_indices)\n", + "is_true_effect_sorted = is_true_effect[sort_idx]\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(14, 6))\n", + "\n", + "x = np.arange(n_tests)\n", + "\n", + "# Plot all p-values\n", + "colors_bars = [PRIMARY_GREEN if te else PRIMARY_BLUE for te in is_true_effect_sorted]\n", + "bars = ax.bar(x, pvalues_sorted, color=colors_bars, edgecolor='white', alpha=0.7)\n", + "\n", + "# Threshold lines\n", + "ax.axhline(alpha, color=SECONDARY_ORANGE, linewidth=2, linestyle='--',\n", + " label=f'Uncorrected α = {alpha}')\n", + "ax.axhline(alpha_bonf, color=PRIMARY_RED, linewidth=2, linestyle='-',\n", + " label=f'Bonferroni α = {alpha_bonf:.4f}')\n", + "\n", + "ax.set_xlabel('Test (sorted by p-value)', fontsize=12)\n", + "ax.set_ylabel('P-value', fontsize=12)\n", + "ax.set_title('Bonferroni Correction: Very Conservative Threshold', fontsize=14, fontweight='bold')\n", + "ax.legend(loc='upper left', fontsize=10)\n", + "ax.set_ylim(0, 0.1)\n", + "ax.set_xlim(-1, n_tests)\n", + "\n", + "# Add legend for bar colors\n", + "from matplotlib.patches import Patch\n", + "legend_elements = [Patch(facecolor=PRIMARY_GREEN, alpha=0.7, label='True effect'),\n", + " Patch(facecolor=PRIMARY_BLUE, alpha=0.7, label='Null (no effect)')]\n", + "ax.legend(handles=legend_elements + ax.get_legend_handles_labels()[0], \n", + " loc='upper right', fontsize=10)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Summary\n", + "print(f\"Total tests: {n_tests}\")\n", + "print(f\"True effects: {n_true_effects}\")\n", + "print(f\"\\nUncorrected (α = {alpha}):\")\n", + "print(f\" Significant: {np.sum(sig_uncorrected)}\")\n", + "print(f\" True positives: {np.sum(sig_uncorrected & is_true_effect)}\")\n", + "print(f\" False positives: {np.sum(sig_uncorrected & ~is_true_effect)}\")\n", + "print(f\"\\nBonferroni (α = {alpha_bonf:.5f}):\")\n", + "print(f\" Significant: {np.sum(sig_bonf)}\")\n", + "print(f\" True positives: {np.sum(sig_bonf & is_true_effect)}\")\n", + "print(f\" False positives: {np.sum(sig_bonf & ~is_true_effect)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "e62696ab", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 10: False Discovery Rate (FDR) Correction\n", + "\n", + "**FDR correction** (Benjamini-Hochberg procedure) is less conservative and more commonly used in neuroimaging.\n", + "\n", + "### What Does FDR Control?\n", + "\n", + "Instead of controlling the probability of **any** false positive (FWER), FDR controls the **proportion** of false positives among all discoveries.\n", + "\n", + "$$\\text{FDR} = \\mathbb{E}\\left[\\frac{\\text{False Positives}}{\\text{Total Discoveries}}\\right]$$\n", + "\n", + "### The Benjamini-Hochberg Procedure\n", + "\n", + "1. **Sort** p-values from smallest to largest: $p_{(1)} \\leq p_{(2)} \\leq ... \\leq p_{(N)}$\n", + "2. **Find** the largest $k$ such that: $p_{(k)} \\leq \\frac{k}{N} \\cdot \\alpha$\n", + "3. **Reject** all hypotheses with $p_{(i)} \\leq p_{(k)}$\n", + "\n", + "### Comparison with Bonferroni\n", + "\n", + "| Aspect | Bonferroni | FDR (BH) |\n", + "|--------|------------|----------|\n", + "| Controls | FWER | FDR |\n", + "| Stringency | Very conservative | Moderate |\n", + "| Power | Low | Higher |\n", + "| Interpretation | \"No false positives\" | \"≤5% of discoveries are false\" |\n", + "| Best for | Confirmatory | Exploratory |" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5be1dcdf", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 8: FDR Correction (Benjamini-Hochberg)\n", + "# ============================================================================\n", + "\n", + "def fdr_correction(pvalues: NDArray[np.floating], \n", + " alpha: float = 0.05) -> Tuple[NDArray[np.bool_], NDArray[np.floating]]:\n", + " \"\"\"\n", + " Apply FDR correction using Benjamini-Hochberg procedure.\n", + " \n", + " Parameters\n", + " ----------\n", + " pvalues : NDArray[np.floating]\n", + " Array of p-values.\n", + " alpha : float\n", + " Desired false discovery rate.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.bool_], NDArray[np.floating]]\n", + " Boolean mask of significant tests, and adjusted p-values.\n", + " \"\"\"\n", + " n = len(pvalues)\n", + " \n", + " # Sort p-values and keep track of original order\n", + " sorted_idx = np.argsort(pvalues)\n", + " sorted_pvals = pvalues[sorted_idx]\n", + " \n", + " # Compute BH threshold for each rank\n", + " ranks = np.arange(1, n + 1)\n", + " bh_threshold = ranks / n * alpha\n", + " \n", + " # Find the largest p-value below its threshold\n", + " below_threshold = sorted_pvals <= bh_threshold\n", + " if np.any(below_threshold):\n", + " max_below = np.max(np.where(below_threshold)[0])\n", + " reject_sorted = np.arange(n) <= max_below\n", + " else:\n", + " reject_sorted = np.zeros(n, dtype=bool)\n", + " \n", + " # Map back to original order\n", + " reject = np.zeros(n, dtype=bool)\n", + " reject[sorted_idx] = reject_sorted\n", + " \n", + " # Compute adjusted p-values\n", + " adjusted = np.zeros(n)\n", + " adjusted[sorted_idx] = np.minimum.accumulate(\n", + " (sorted_pvals * n / ranks)[::-1]\n", + " )[::-1]\n", + " adjusted = np.minimum(adjusted, 1.0)\n", + " \n", + " return reject, adjusted\n", + "\n", + "\n", + "# Use same data as before\n", + "np.random.seed(42)\n", + "n_tests = 50\n", + "n_true_effects = 5\n", + "\n", + "pvalues = np.random.uniform(0, 1, n_tests)\n", + "true_effect_indices = np.random.choice(n_tests, n_true_effects, replace=False)\n", + "pvalues[true_effect_indices] = np.random.uniform(0.001, 0.03, n_true_effects)\n", + "\n", + "alpha = 0.05\n", + "\n", + "# Apply corrections\n", + "sig_uncorr = pvalues < alpha\n", + "sig_bonf, alpha_bonf = bonferroni_correction(pvalues, alpha)\n", + "sig_fdr, adj_pvals = fdr_correction(pvalues, alpha)\n", + "\n", + "# Track true effects\n", + "is_true_effect = np.isin(np.arange(n_tests), true_effect_indices)\n", + "\n", + "# Sort for visualization\n", + "sort_idx = np.argsort(pvalues)\n", + "pvalues_sorted = pvalues[sort_idx]\n", + "is_true_effect_sorted = is_true_effect[sort_idx]\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: BH procedure visualization\n", + "x = np.arange(n_tests)\n", + "bh_line = (x + 1) / n_tests * alpha\n", + "\n", + "colors_bars = [PRIMARY_GREEN if te else PRIMARY_BLUE for te in is_true_effect_sorted]\n", + "axes[0].bar(x, pvalues_sorted, color=colors_bars, edgecolor='white', alpha=0.7)\n", + "axes[0].plot(x, bh_line, color=PRIMARY_RED, linewidth=2, label='BH threshold line')\n", + "axes[0].axhline(alpha_bonf, color=SECONDARY_ORANGE, linewidth=2, linestyle='--',\n", + " label=f'Bonferroni (α = {alpha_bonf:.4f})')\n", + "\n", + "axes[0].set_xlabel('Rank', fontsize=12)\n", + "axes[0].set_ylabel('P-value', fontsize=12)\n", + "axes[0].set_title('Benjamini-Hochberg: Adaptive Threshold', fontsize=12, fontweight='bold')\n", + "axes[0].legend(loc='upper left', fontsize=10)\n", + "axes[0].set_ylim(0, 0.15)\n", + "\n", + "# Right: Comparison of methods\n", + "methods = ['Uncorrected', 'Bonferroni', 'FDR (BH)']\n", + "true_positives = [np.sum(sig_uncorr & is_true_effect),\n", + " np.sum(sig_bonf & is_true_effect),\n", + " np.sum(sig_fdr & is_true_effect)]\n", + "false_positives = [np.sum(sig_uncorr & ~is_true_effect),\n", + " np.sum(sig_bonf & ~is_true_effect),\n", + " np.sum(sig_fdr & ~is_true_effect)]\n", + "\n", + "x_bar = np.arange(len(methods))\n", + "width = 0.35\n", + "\n", + "bars1 = axes[1].bar(x_bar - width/2, true_positives, width, \n", + " label='True Positives', color=PRIMARY_GREEN, alpha=0.8)\n", + "bars2 = axes[1].bar(x_bar + width/2, false_positives, width, \n", + " label='False Positives', color=PRIMARY_RED, alpha=0.8)\n", + "\n", + "axes[1].axhline(n_true_effects, color='black', linestyle='--', alpha=0.5,\n", + " label=f'Max possible TP = {n_true_effects}')\n", + "\n", + "axes[1].set_xlabel('Correction Method', fontsize=12)\n", + "axes[1].set_ylabel('Count', fontsize=12)\n", + "axes[1].set_title('Comparison: True vs False Positives', fontsize=12, fontweight='bold')\n", + "axes[1].set_xticks(x_bar)\n", + "axes[1].set_xticklabels(methods)\n", + "axes[1].legend(loc='upper right', fontsize=10)\n", + "axes[1].set_ylim(0, max(true_positives + false_positives) + 1)\n", + "\n", + "# Add value labels on bars\n", + "for bar in bars1:\n", + " height = bar.get_height()\n", + " axes[1].annotate(f'{int(height)}', xy=(bar.get_x() + bar.get_width()/2, height),\n", + " ha='center', va='bottom', fontsize=10, fontweight='bold')\n", + "for bar in bars2:\n", + " height = bar.get_height()\n", + " axes[1].annotate(f'{int(height)}', xy=(bar.get_x() + bar.get_width()/2, height),\n", + " ha='center', va='bottom', fontsize=10, fontweight='bold')\n", + "\n", + "plt.suptitle('FDR vs Bonferroni: Better Balance of Power vs Control', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"True effects in data: {n_true_effects}\")\n", + "print(f\"\\nMethod comparison:\")\n", + "print(f\" Uncorrected: {np.sum(sig_uncorr)} significant ({np.sum(sig_uncorr & is_true_effect)} TP, {np.sum(sig_uncorr & ~is_true_effect)} FP)\")\n", + "print(f\" Bonferroni: {np.sum(sig_bonf)} significant ({np.sum(sig_bonf & is_true_effect)} TP, {np.sum(sig_bonf & ~is_true_effect)} FP)\")\n", + "print(f\" FDR (BH): {np.sum(sig_fdr)} significant ({np.sum(sig_fdr & is_true_effect)} TP, {np.sum(sig_fdr & ~is_true_effect)} FP)\")" + ] + }, + { + "cell_type": "markdown", + "id": "01d57d1c", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 11: Permutation Testing for Group Comparisons\n", + "\n", + "So far we tested if connectivity is **different from zero**. But often we want to compare **two groups**:\n", + "\n", + "- Is connectivity higher in patients than controls?\n", + "- Is there a difference between conditions?\n", + "\n", + "### Permutation Testing\n", + "\n", + "Permutation testing is a **non-parametric** approach that makes no assumptions about the data distribution.\n", + "\n", + "### The Procedure\n", + "\n", + "1. Compute the **observed difference** between groups (e.g., mean connectivity)\n", + "2. **Pool** all observations together\n", + "3. **Randomly permute** group labels (shuffle who belongs to which group)\n", + "4. Compute the difference for this permuted data\n", + "5. Repeat steps 3-4 many times (e.g., 1000)\n", + "6. The distribution of permuted differences = **null distribution**\n", + "7. Compare observed difference to null distribution → p-value\n", + "\n", + "### Why This Works\n", + "\n", + "Under H₀, group membership doesn't matter. So shuffling labels should give similar results to the true labels. If the observed difference is extreme, it's unlikely to be due to chance." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "15199bdd", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 9: Permutation Testing for Group Comparison\n", + "# ============================================================================\n", + "\n", + "def permutation_test(group1: NDArray[np.floating],\n", + " group2: NDArray[np.floating],\n", + " n_permutations: int = 1000,\n", + " statistic: str = 'mean_diff') -> Tuple[float, float, NDArray[np.floating]]:\n", + " \"\"\"\n", + " Perform a permutation test comparing two groups.\n", + " \n", + " Parameters\n", + " ----------\n", + " group1 : NDArray[np.floating]\n", + " Connectivity values for group 1.\n", + " group2 : NDArray[np.floating]\n", + " Connectivity values for group 2.\n", + " n_permutations : int\n", + " Number of permutations.\n", + " statistic : str\n", + " 'mean_diff' or 't_stat'.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[float, float, NDArray[np.floating]]\n", + " Observed statistic, p-value, and null distribution.\n", + " \"\"\"\n", + " n1, n2 = len(group1), len(group2)\n", + " pooled = np.concatenate([group1, group2])\n", + " \n", + " # Compute observed statistic\n", + " if statistic == 'mean_diff':\n", + " observed = np.mean(group1) - np.mean(group2)\n", + " else:\n", + " observed = stats.ttest_ind(group1, group2)[0]\n", + " \n", + " # Generate null distribution\n", + " null_stats = np.zeros(n_permutations)\n", + " \n", + " for i in range(n_permutations):\n", + " # Shuffle and split\n", + " np.random.shuffle(pooled)\n", + " perm_g1 = pooled[:n1]\n", + " perm_g2 = pooled[n1:]\n", + " \n", + " if statistic == 'mean_diff':\n", + " null_stats[i] = np.mean(perm_g1) - np.mean(perm_g2)\n", + " else:\n", + " null_stats[i] = stats.ttest_ind(perm_g1, perm_g2)[0]\n", + " \n", + " # Two-sided p-value\n", + " p_value = np.mean(np.abs(null_stats) >= np.abs(observed))\n", + " \n", + " return observed, p_value, null_stats\n", + "\n", + "\n", + "# Simulate connectivity data from two groups\n", + "np.random.seed(42)\n", + "\n", + "# Group 1 (e.g., controls): lower connectivity\n", + "group1_plv = np.random.beta(2, 5, 20) * 0.5 + 0.15\n", + "# Group 2 (e.g., patients): higher connectivity\n", + "group2_plv = np.random.beta(3, 4, 20) * 0.5 + 0.25\n", + "\n", + "# Permutation test\n", + "observed_diff, pvalue, null_dist = permutation_test(group2_plv, group1_plv, n_permutations=1000)\n", + "\n", + "# Also do parametric t-test for comparison\n", + "t_stat, t_pvalue = stats.ttest_ind(group2_plv, group1_plv)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Group comparison\n", + "positions = [1, 2]\n", + "bp = axes[0].boxplot([group1_plv, group2_plv], positions=positions, widths=0.5,\n", + " patch_artist=True)\n", + "bp['boxes'][0].set_facecolor(SUBJECT_1)\n", + "bp['boxes'][1].set_facecolor(SUBJECT_2)\n", + "for box in bp['boxes']:\n", + " box.set_alpha(0.7)\n", + "\n", + "axes[0].scatter(np.ones(len(group1_plv)) + np.random.randn(len(group1_plv)) * 0.05, \n", + " group1_plv, color=SUBJECT_1, alpha=0.6, s=50)\n", + "axes[0].scatter(np.ones(len(group2_plv)) * 2 + np.random.randn(len(group2_plv)) * 0.05, \n", + " group2_plv, color=SUBJECT_2, alpha=0.6, s=50)\n", + "\n", + "axes[0].set_xticks([1, 2])\n", + "axes[0].set_xticklabels(['Group 1\\n(Controls)', 'Group 2\\n(Patients)'])\n", + "axes[0].set_ylabel('PLV', fontsize=12)\n", + "axes[0].set_title('Connectivity by Group', fontsize=12, fontweight='bold')\n", + "\n", + "# Add means\n", + "axes[0].scatter([1, 2], [np.mean(group1_plv), np.mean(group2_plv)], \n", + " color='black', s=100, marker='D', zorder=5, label='Mean')\n", + "axes[0].legend()\n", + "\n", + "# Right: Null distribution\n", + "axes[1].hist(null_dist, bins=40, density=True, color=PRIMARY_BLUE, \n", + " edgecolor='white', alpha=0.7)\n", + "axes[1].axvline(observed_diff, color=PRIMARY_RED, linewidth=3, linestyle='--',\n", + " label=f'Observed diff = {observed_diff:.3f}')\n", + "axes[1].axvline(-observed_diff, color=PRIMARY_RED, linewidth=3, linestyle='--', alpha=0.5)\n", + "\n", + "axes[1].set_xlabel('Difference (Group 2 - Group 1)', fontsize=12)\n", + "axes[1].set_ylabel('Density', fontsize=12)\n", + "axes[1].set_title('Permutation Null Distribution', fontsize=12, fontweight='bold')\n", + "axes[1].legend(loc='upper right')\n", + "\n", + "plt.suptitle(f'Permutation Test: p = {pvalue:.3f} (t-test p = {t_pvalue:.3f})', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Group 1 (Controls): mean = {np.mean(group1_plv):.3f}\")\n", + "print(f\"Group 2 (Patients): mean = {np.mean(group2_plv):.3f}\")\n", + "print(f\"Observed difference: {observed_diff:.3f}\")\n", + "print(f\"\\nPermutation test p-value: {pvalue:.3f}\")\n", + "print(f\"Parametric t-test p-value: {t_pvalue:.3f}\")\n", + "print(f\"\\n→ {'Significant' if pvalue < 0.05 else 'Not significant'} difference at α = 0.05\")" + ] + }, + { + "cell_type": "markdown", + "id": "71afc0c3", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 12: Bootstrap Confidence Intervals\n", + "\n", + "P-values tell us whether an effect exists. **Confidence intervals** tell us **how big** it is.\n", + "\n", + "### What is Bootstrapping?\n", + "\n", + "Bootstrapping is a resampling technique:\n", + "\n", + "1. **Resample with replacement** from your data (same size as original)\n", + "2. Compute the statistic of interest\n", + "3. Repeat many times (e.g., 1000)\n", + "4. The distribution of statistics gives you uncertainty estimates\n", + "\n", + "### Confidence Interval\n", + "\n", + "A 95% confidence interval is the range from the 2.5th to 97.5th percentile of bootstrap samples.\n", + "\n", + "**Interpretation**: If we repeated the experiment many times, 95% of the intervals would contain the true value.\n", + "\n", + "### Why Bootstrapping for Connectivity?\n", + "\n", + "- No assumptions about the distribution\n", + "- Works for complex statistics\n", + "- Provides intuitive uncertainty quantification" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b4dcf845", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 10: Bootstrap Confidence Intervals\n", + "# ============================================================================\n", + "\n", + "def bootstrap_ci(data: NDArray[np.floating],\n", + " statistic: callable = np.mean,\n", + " n_bootstrap: int = 1000,\n", + " ci: float = 0.95) -> Tuple[float, float, float, NDArray[np.floating]]:\n", + " \"\"\"\n", + " Compute bootstrap confidence interval for a statistic.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.floating]\n", + " Input data array.\n", + " statistic : callable\n", + " Function to compute the statistic (e.g., np.mean).\n", + " n_bootstrap : int\n", + " Number of bootstrap resamples.\n", + " ci : float\n", + " Confidence level (e.g., 0.95 for 95%).\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[float, float, float, NDArray[np.floating]]\n", + " Point estimate, CI lower, CI upper, and bootstrap distribution.\n", + " \"\"\"\n", + " n = len(data)\n", + " point_estimate = statistic(data)\n", + " \n", + " # Bootstrap resampling\n", + " bootstrap_stats = np.zeros(n_bootstrap)\n", + " for i in range(n_bootstrap):\n", + " resample = np.random.choice(data, size=n, replace=True)\n", + " bootstrap_stats[i] = statistic(resample)\n", + " \n", + " # Percentile method for CI\n", + " alpha = (1 - ci) / 2\n", + " ci_lower = np.percentile(bootstrap_stats, alpha * 100)\n", + " ci_upper = np.percentile(bootstrap_stats, (1 - alpha) * 100)\n", + " \n", + " return point_estimate, ci_lower, ci_upper, bootstrap_stats\n", + "\n", + "\n", + "# Simulate PLV measurements from multiple trials\n", + "np.random.seed(42)\n", + "n_trials = 30\n", + "\n", + "# Subject 1: moderate connectivity\n", + "plv_trials_s1 = np.random.beta(4, 3, n_trials) * 0.6 + 0.2\n", + "\n", + "# Subject 2: lower connectivity\n", + "plv_trials_s2 = np.random.beta(2, 4, n_trials) * 0.5 + 0.1\n", + "\n", + "# Bootstrap for each subject\n", + "mean1, ci1_low, ci1_up, boot1 = bootstrap_ci(plv_trials_s1, n_bootstrap=1000)\n", + "mean2, ci2_low, ci2_up, boot2 = bootstrap_ci(plv_trials_s2, n_bootstrap=1000)\n", + "\n", + "# Bootstrap for the difference\n", + "diff_trials = plv_trials_s1 - plv_trials_s2\n", + "mean_diff, ci_diff_low, ci_diff_up, boot_diff = bootstrap_ci(diff_trials, n_bootstrap=1000)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "# Left: Raw data with CIs\n", + "x = [1, 2]\n", + "means = [mean1, mean2]\n", + "ci_lows = [ci1_low, ci2_low]\n", + "ci_ups = [ci1_up, ci2_up]\n", + "\n", + "for i, (m, low, up, color) in enumerate(zip(means, ci_lows, ci_ups, [SUBJECT_1, SUBJECT_2])):\n", + " axes[0].bar(x[i], m, color=color, alpha=0.7, width=0.5)\n", + " axes[0].errorbar(x[i], m, yerr=[[m - low], [up - m]], \n", + " color='black', capsize=5, capthick=2, linewidth=2)\n", + "\n", + "axes[0].set_xticks([1, 2])\n", + "axes[0].set_xticklabels(['Subject 1', 'Subject 2'])\n", + "axes[0].set_ylabel('Mean PLV', fontsize=12)\n", + "axes[0].set_title('Mean Connectivity with 95% CI', fontsize=12, fontweight='bold')\n", + "axes[0].set_ylim(0, 0.8)\n", + "\n", + "# Middle: Bootstrap distributions\n", + "axes[1].hist(boot1, bins=40, density=True, color=SUBJECT_1, alpha=0.6, label='Subject 1')\n", + "axes[1].hist(boot2, bins=40, density=True, color=SUBJECT_2, alpha=0.6, label='Subject 2')\n", + "axes[1].axvline(mean1, color=SUBJECT_1, linewidth=2, linestyle='--')\n", + "axes[1].axvline(mean2, color=SUBJECT_2, linewidth=2, linestyle='--')\n", + "axes[1].set_xlabel('Mean PLV', fontsize=12)\n", + "axes[1].set_ylabel('Density', fontsize=12)\n", + "axes[1].set_title('Bootstrap Distributions', fontsize=12, fontweight='bold')\n", + "axes[1].legend()\n", + "\n", + "# Right: Difference distribution\n", + "axes[2].hist(boot_diff, bins=40, density=True, color=SECONDARY_PURPLE, \n", + " alpha=0.7, edgecolor='white')\n", + "axes[2].axvline(mean_diff, color=PRIMARY_RED, linewidth=3, linestyle='--',\n", + " label=f'Mean diff = {mean_diff:.3f}')\n", + "axes[2].axvline(0, color='black', linewidth=2, linestyle='-', alpha=0.5)\n", + "axes[2].axvspan(ci_diff_low, ci_diff_up, color=SECONDARY_PURPLE, alpha=0.2,\n", + " label=f'95% CI: [{ci_diff_low:.3f}, {ci_diff_up:.3f}]')\n", + "axes[2].set_xlabel('Difference (S1 - S2)', fontsize=12)\n", + "axes[2].set_ylabel('Density', fontsize=12)\n", + "axes[2].set_title('Difference: Does CI Include 0?', fontsize=12, fontweight='bold')\n", + "axes[2].legend(loc='upper left', fontsize=9)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Subject 1: mean = {mean1:.3f}, 95% CI = [{ci1_low:.3f}, {ci1_up:.3f}]\")\n", + "print(f\"Subject 2: mean = {mean2:.3f}, 95% CI = [{ci2_low:.3f}, {ci2_up:.3f}]\")\n", + "print(f\"\\nDifference (S1 - S2):\")\n", + "print(f\" Mean = {mean_diff:.3f}\")\n", + "print(f\" 95% CI = [{ci_diff_low:.3f}, {ci_diff_up:.3f}]\")\n", + "if ci_diff_low > 0 or ci_diff_up < 0:\n", + " print(\" → CI does NOT include 0 → Significant difference!\")\n", + "else:\n", + " print(\" → CI includes 0 → NOT significant\")" + ] + }, + { + "cell_type": "markdown", + "id": "589355a4", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 13: Effect Size — Beyond P-Values\n", + "\n", + "P-values can be misleading! With large samples, even **tiny** effects become \"significant.\" Effect size tells us **how meaningful** the effect is.\n", + "\n", + "### Common Effect Size Measures\n", + "\n", + "| Measure | Formula | Interpretation |\n", + "|---------|---------|----------------|\n", + "| Cohen's d | $d = \\frac{\\bar{x}_1 - \\bar{x}_2}{s_{pooled}}$ | 0.2 small, 0.5 medium, 0.8 large |\n", + "| Pearson's r | Correlation coefficient | Strength of relationship |\n", + "| Hedge's g | Corrected Cohen's d | Better for small samples |\n", + "\n", + "### Why Effect Size Matters\n", + "\n", + "- **Statistical significance ≠ Practical significance**\n", + "- A \"significant\" PLV difference of 0.01 may be meaningless\n", + "- Always report both p-values AND effect sizes" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "681f5ba0", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 11: Effect Size Demonstration\n", + "# ============================================================================\n", + "\n", + "def cohens_d(group1: NDArray[np.floating], \n", + " group2: NDArray[np.floating]) -> float:\n", + " \"\"\"\n", + " Compute Cohen's d effect size.\n", + " \n", + " Parameters\n", + " ----------\n", + " group1 : NDArray[np.floating]\n", + " First group values.\n", + " group2 : NDArray[np.floating]\n", + " Second group values.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Cohen's d effect size.\n", + " \"\"\"\n", + " n1, n2 = len(group1), len(group2)\n", + " var1, var2 = np.var(group1, ddof=1), np.var(group2, ddof=1)\n", + " \n", + " # Pooled standard deviation\n", + " pooled_std = np.sqrt(((n1 - 1) * var1 + (n2 - 1) * var2) / (n1 + n2 - 2))\n", + " \n", + " return (np.mean(group1) - np.mean(group2)) / pooled_std\n", + "\n", + "\n", + "# Demonstrate: same p-value, different effect sizes\n", + "np.random.seed(42)\n", + "\n", + "# Scenario 1: Small sample, large effect\n", + "g1_small = np.random.normal(0.5, 0.1, 15)\n", + "g2_small = np.random.normal(0.3, 0.1, 15)\n", + "\n", + "# Scenario 2: Large sample, small effect\n", + "g1_large = np.random.normal(0.35, 0.1, 200)\n", + "g2_large = np.random.normal(0.32, 0.1, 200)\n", + "\n", + "# Statistics\n", + "_, p_small = stats.ttest_ind(g1_small, g2_small)\n", + "_, p_large = stats.ttest_ind(g1_large, g2_large)\n", + "\n", + "d_small = cohens_d(g1_small, g2_small)\n", + "d_large = cohens_d(g1_large, g2_large)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Small sample, large effect\n", + "bp1 = axes[0].boxplot([g1_small, g2_small], patch_artist=True)\n", + "bp1['boxes'][0].set_facecolor(SUBJECT_1)\n", + "bp1['boxes'][1].set_facecolor(SUBJECT_2)\n", + "for box in bp1['boxes']:\n", + " box.set_alpha(0.7)\n", + "axes[0].set_xticklabels(['Group 1', 'Group 2'])\n", + "axes[0].set_ylabel('Connectivity', fontsize=12)\n", + "axes[0].set_title(f'Small Sample (n=15 per group)\\np = {p_small:.3f}, Cohen\\'s d = {d_small:.2f}', \n", + " fontsize=12, fontweight='bold')\n", + "axes[0].set_ylim(0, 0.8)\n", + "\n", + "# Right: Large sample, small effect\n", + "bp2 = axes[1].boxplot([g1_large, g2_large], patch_artist=True)\n", + "bp2['boxes'][0].set_facecolor(SUBJECT_1)\n", + "bp2['boxes'][1].set_facecolor(SUBJECT_2)\n", + "for box in bp2['boxes']:\n", + " box.set_alpha(0.7)\n", + "axes[1].set_xticklabels(['Group 1', 'Group 2'])\n", + "axes[1].set_ylabel('Connectivity', fontsize=12)\n", + "axes[1].set_title(f'Large Sample (n=200 per group)\\np = {p_large:.3f}, Cohen\\'s d = {d_large:.2f}', \n", + " fontsize=12, fontweight='bold')\n", + "axes[1].set_ylim(0, 0.8)\n", + "\n", + "plt.suptitle('Same P-Value, Different Effect Sizes!', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Scenario 1 (small sample):\")\n", + "print(f\" p = {p_small:.3f}, Cohen's d = {d_small:.2f} → LARGE effect\")\n", + "print(f\"\\nScenario 2 (large sample):\")\n", + "print(f\" p = {p_large:.3f}, Cohen's d = {d_large:.2f} → SMALL effect\")\n", + "print(\"\\n⚠️ Both have similar p-values, but very different practical importance!\")" + ] + }, + { + "cell_type": "markdown", + "id": "a44ed747", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 14: Best Practices Checklist\n", + "\n", + "### Before Analysis\n", + "\n", + "- [ ] Define your hypothesis BEFORE looking at data\n", + "- [ ] Pre-register your analysis plan if possible\n", + "- [ ] Choose α level (typically 0.05) BEFORE analysis\n", + "- [ ] Decide on correction method (FDR vs Bonferroni) BEFORE analysis\n", + "\n", + "### During Analysis\n", + "\n", + "- [ ] Use appropriate surrogate method for your connectivity metric\n", + "- [ ] Generate enough surrogates (≥1000 for α=0.05)\n", + "- [ ] Apply multiple comparisons correction\n", + "- [ ] Compute effect sizes alongside p-values\n", + "- [ ] Report confidence intervals\n", + "\n", + "### Reporting Results\n", + "\n", + "- [ ] Report exact p-values (not just \"p < 0.05\")\n", + "- [ ] Report correction method used\n", + "- [ ] Report effect sizes (Cohen's d, etc.)\n", + "- [ ] Report confidence intervals\n", + "- [ ] Be transparent about number of tests performed\n", + "\n", + "### Common Pitfalls to Avoid\n", + "\n", + "❌ **P-hacking**: Running many analyses until you find p < 0.05 \n", + "❌ **HARKing**: Hypothesizing After Results are Known \n", + "❌ **Ignoring multiple comparisons** \n", + "❌ **Confusing statistical and practical significance** \n", + "❌ **Reporting only \"significant\" results**" + ] + }, + { + "cell_type": "markdown", + "id": "4090db6d", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 15: Complete Significance Testing Pipeline\n", + "\n", + "Let's put everything together in a complete pipeline for testing connectivity significance across multiple channel pairs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1a43af68", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# VISUALIZATION 12: Complete Significance Testing Pipeline\n", + "# ============================================================================\n", + "\n", + "def significance_pipeline(signals: List[NDArray[np.floating]],\n", + " n_surrogates: int = 500,\n", + " alpha: float = 0.05,\n", + " correction: str = 'fdr') -> Dict[str, Any]:\n", + " \"\"\"\n", + " Complete pipeline for connectivity significance testing.\n", + " \n", + " Parameters\n", + " ----------\n", + " signals : List[NDArray[np.floating]]\n", + " List of signals (channels).\n", + " n_surrogates : int\n", + " Number of surrogates for null distribution.\n", + " alpha : float\n", + " Significance level.\n", + " correction : str\n", + " 'bonferroni', 'fdr', or 'none'.\n", + " \n", + " Returns\n", + " -------\n", + " Dict[str, Any]\n", + " Results dictionary with PLV values, p-values, and significance masks.\n", + " \"\"\"\n", + " n_channels = len(signals)\n", + " n_pairs = n_channels * (n_channels - 1) // 2\n", + " \n", + " # Initialize arrays\n", + " plv_matrix = np.zeros((n_channels, n_channels))\n", + " pvalue_matrix = np.ones((n_channels, n_channels))\n", + " \n", + " # Compute PLV and p-values for all pairs\n", + " pair_idx = 0\n", + " pvalues_flat = []\n", + " pairs_list = []\n", + " \n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " # Observed PLV\n", + " plv = compute_plv(signals[i], signals[j])\n", + " plv_matrix[i, j] = plv\n", + " plv_matrix[j, i] = plv\n", + " \n", + " # Null distribution\n", + " null_values = build_null_distribution(signals[i], signals[j], \n", + " n_surrogates=n_surrogates,\n", + " method='phase_shuffle')\n", + " \n", + " # P-value\n", + " pval = compute_pvalue(plv, null_values)\n", + " pvalue_matrix[i, j] = pval\n", + " pvalue_matrix[j, i] = pval\n", + " \n", + " pvalues_flat.append(pval)\n", + " pairs_list.append((i, j))\n", + " pair_idx += 1\n", + " \n", + " pvalues_flat = np.array(pvalues_flat)\n", + " \n", + " # Apply correction\n", + " if correction == 'bonferroni':\n", + " significant_flat, alpha_corr = bonferroni_correction(pvalues_flat, alpha)\n", + " elif correction == 'fdr':\n", + " significant_flat, _ = fdr_correction(pvalues_flat, alpha)\n", + " alpha_corr = alpha # Not directly applicable for FDR\n", + " else:\n", + " significant_flat = pvalues_flat < alpha\n", + " alpha_corr = alpha\n", + " \n", + " # Build significance matrix\n", + " sig_matrix = np.zeros((n_channels, n_channels), dtype=bool)\n", + " for k, (i, j) in enumerate(pairs_list):\n", + " sig_matrix[i, j] = significant_flat[k]\n", + " sig_matrix[j, i] = significant_flat[k]\n", + " \n", + " return {\n", + " 'plv_matrix': plv_matrix,\n", + " 'pvalue_matrix': pvalue_matrix,\n", + " 'significant_matrix': sig_matrix,\n", + " 'n_significant': np.sum(significant_flat),\n", + " 'correction': correction\n", + " }\n", + "\n", + "\n", + "# Create simulated multi-channel data\n", + "np.random.seed(42)\n", + "n_channels = 6\n", + "n_samples = 5 * fs # 5 seconds\n", + "channel_names = ['Fz', 'Cz', 'Pz', 'F3', 'F4', 'Oz']\n", + "\n", + "# Generate signals with some true connectivity\n", + "signals = []\n", + "base_alpha = np.sin(2 * np.pi * 10 * np.arange(n_samples) / fs)\n", + "\n", + "for i in range(n_channels):\n", + " noise = 0.5 * np.random.randn(n_samples)\n", + " if i < 3: # First 3 channels share some phase\n", + " phase_shift = np.random.uniform(0, np.pi/4)\n", + " sig = np.sin(2 * np.pi * 10 * np.arange(n_samples) / fs + phase_shift) + noise\n", + " else: # Last 3 channels are independent\n", + " sig = np.sin(2 * np.pi * 10 * np.arange(n_samples) / fs + np.random.uniform(0, 2*np.pi)) + noise\n", + " sig = bandpass_filter(sig, 8, 12, fs)\n", + " signals.append(sig)\n", + "\n", + "# Run pipeline\n", + "print(\"Running significance pipeline (this may take a moment)...\")\n", + "results = significance_pipeline(signals, n_surrogates=200, alpha=0.05, correction='fdr')\n", + "\n", + "# Plot results\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "# PLV matrix\n", + "im1 = axes[0].imshow(results['plv_matrix'], cmap='Blues', vmin=0, vmax=1)\n", + "axes[0].set_xticks(range(n_channels))\n", + "axes[0].set_yticks(range(n_channels))\n", + "axes[0].set_xticklabels(channel_names)\n", + "axes[0].set_yticklabels(channel_names)\n", + "axes[0].set_title('PLV Matrix', fontsize=12, fontweight='bold')\n", + "plt.colorbar(im1, ax=axes[0], shrink=0.8)\n", + "\n", + "# P-value matrix\n", + "im2 = axes[1].imshow(results['pvalue_matrix'], cmap='Reds_r', vmin=0, vmax=0.1)\n", + "axes[1].set_xticks(range(n_channels))\n", + "axes[1].set_yticks(range(n_channels))\n", + "axes[1].set_xticklabels(channel_names)\n", + "axes[1].set_yticklabels(channel_names)\n", + "axes[1].set_title('P-Value Matrix', fontsize=12, fontweight='bold')\n", + "plt.colorbar(im2, ax=axes[1], shrink=0.8, label='p-value')\n", + "\n", + "# Significance matrix\n", + "im3 = axes[2].imshow(results['significant_matrix'].astype(float), cmap='Greens', vmin=0, vmax=1)\n", + "axes[2].set_xticks(range(n_channels))\n", + "axes[2].set_yticks(range(n_channels))\n", + "axes[2].set_xticklabels(channel_names)\n", + "axes[2].set_yticklabels(channel_names)\n", + "axes[2].set_title(f'Significant (FDR, α=0.05)\\n{results[\"n_significant\"]} pairs', \n", + " fontsize=12, fontweight='bold')\n", + "\n", + "# Add text annotations for significance\n", + "for i in range(n_channels):\n", + " for j in range(n_channels):\n", + " if results['significant_matrix'][i, j]:\n", + " axes[2].text(j, i, '✓', ha='center', va='center', \n", + " fontsize=14, fontweight='bold', color='white')\n", + "\n", + "plt.suptitle('Complete Significance Testing Pipeline', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\nResults:\")\n", + "print(f\" Total pairs tested: {n_channels * (n_channels - 1) // 2}\")\n", + "print(f\" Significant pairs (FDR corrected): {results['n_significant']}\")" + ] + }, + { + "cell_type": "markdown", + "id": "d92fc542", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 16: Exercises\n", + "\n", + "### Exercise 1: Surrogate Comparison\n", + "\n", + "Compare phase shuffling and time shifting for the same signal pair:\n", + "- Generate 500 surrogates with each method\n", + "- Plot both null distributions\n", + "- Are the p-values similar?\n", + "\n", + "```python\n", + "# Your code here\n", + "# Hint: Use phase_shuffle() and time_shift() functions\n", + "```\n", + "\n", + "### Exercise 2: Effect of Number of Surrogates\n", + "\n", + "Investigate how the number of surrogates affects p-value stability:\n", + "- Test with N = 100, 500, 1000, 5000\n", + "- Repeat each 10 times and compute the standard deviation of p-values\n", + "- At what N does the p-value stabilize?\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "### Exercise 3: Multiple Comparisons Impact\n", + "\n", + "Simulate the multiple comparisons problem:\n", + "- Generate 100 pairs of independent signals (no true connectivity)\n", + "- Test all pairs at α = 0.05\n", + "- How many false positives with no correction?\n", + "- How many with Bonferroni? With FDR?\n", + "\n", + "```python\n", + "# Your code here\n", + "```\n", + "\n", + "### Exercise 4: Power Analysis\n", + "\n", + "Investigate statistical power:\n", + "- Generate pairs with known connectivity (PLV = 0.3, 0.5, 0.7)\n", + "- For each, run the significance test 100 times\n", + "- What proportion of tests correctly reject H₀?\n", + "- How does signal length affect power?\n", + "\n", + "```python\n", + "# Your code here\n", + "```" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e86721c9", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 1 SOLUTION: Surrogate Comparison\n", + "# ============================================================================\n", + "\n", + "# Generate test signals\n", + "np.random.seed(42)\n", + "t_ex = np.arange(0, 3, 1/fs)\n", + "\n", + "# Create two weakly coupled signals\n", + "sig1_ex = np.sin(2 * np.pi * 10 * t_ex) + 0.3 * np.random.randn(len(t_ex))\n", + "sig2_ex = np.sin(2 * np.pi * 10 * t_ex + np.pi/4) + 0.3 * np.random.randn(len(t_ex))\n", + "\n", + "# Filter to alpha band\n", + "sig1_ex = bandpass_filter(sig1_ex, 8, 12, fs)\n", + "sig2_ex = bandpass_filter(sig2_ex, 8, 12, fs)\n", + "\n", + "# Observed PLV\n", + "plv_observed_ex = compute_plv(sig1_ex, sig2_ex)\n", + "\n", + "# Generate null distributions with both methods\n", + "n_surr = 500\n", + "\n", + "null_phase_shuffle = np.zeros(n_surr)\n", + "null_time_shift = np.zeros(n_surr)\n", + "\n", + "for i in range(n_surr):\n", + " # Phase shuffle\n", + " surr_ps = phase_shuffle(sig2_ex)\n", + " null_phase_shuffle[i] = compute_plv(sig1_ex, surr_ps)\n", + " \n", + " # Time shift\n", + " surr_ts = time_shift(sig2_ex)\n", + " null_time_shift[i] = compute_plv(sig1_ex, surr_ts)\n", + "\n", + "# Compute p-values\n", + "pval_ps = compute_pvalue(plv_observed_ex, null_phase_shuffle)\n", + "pval_ts = compute_pvalue(plv_observed_ex, null_time_shift)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "axes[0].hist(null_phase_shuffle, bins=30, alpha=0.7, color=PRIMARY_BLUE, \n", + " edgecolor='white', label='Phase Shuffle')\n", + "axes[0].axvline(plv_observed_ex, color=PRIMARY_RED, linewidth=2, linestyle='--',\n", + " label=f'Observed PLV = {plv_observed_ex:.3f}')\n", + "axes[0].set_xlabel('PLV', fontsize=11)\n", + "axes[0].set_ylabel('Count', fontsize=11)\n", + "axes[0].set_title(f'Phase Shuffling\\np = {pval_ps:.4f}', fontsize=12, fontweight='bold')\n", + "axes[0].legend()\n", + "\n", + "axes[1].hist(null_time_shift, bins=30, alpha=0.7, color=SECONDARY_ORANGE, \n", + " edgecolor='white', label='Time Shift')\n", + "axes[1].axvline(plv_observed_ex, color=PRIMARY_RED, linewidth=2, linestyle='--',\n", + " label=f'Observed PLV = {plv_observed_ex:.3f}')\n", + "axes[1].set_xlabel('PLV', fontsize=11)\n", + "axes[1].set_ylabel('Count', fontsize=11)\n", + "axes[1].set_title(f'Time Shifting\\np = {pval_ts:.4f}', fontsize=12, fontweight='bold')\n", + "axes[1].legend()\n", + "\n", + "plt.suptitle('Exercise 1: Comparing Surrogate Methods', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Observed PLV: {plv_observed_ex:.4f}\")\n", + "print(f\"Phase shuffling: mean null = {np.mean(null_phase_shuffle):.4f}, p = {pval_ps:.4f}\")\n", + "print(f\"Time shifting: mean null = {np.mean(null_time_shift):.4f}, p = {pval_ts:.4f}\")\n", + "print(\"\\n→ Both methods give similar results, but phase shuffling is more rigorous.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9fd49230", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 2 SOLUTION: Effect of Number of Surrogates\n", + "# ============================================================================\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Test different numbers of surrogates\n", + "n_surrogates_list = [100, 500, 1000, 5000]\n", + "n_repetitions = 10\n", + "\n", + "# Store results\n", + "pvalue_results = {n: [] for n in n_surrogates_list}\n", + "\n", + "# Use same signals as before\n", + "for n_surr in n_surrogates_list:\n", + " for rep in range(n_repetitions):\n", + " # Build null distribution\n", + " null_vals = np.zeros(n_surr)\n", + " for i in range(n_surr):\n", + " surr = phase_shuffle(sig2_ex)\n", + " null_vals[i] = compute_plv(sig1_ex, surr)\n", + " \n", + " # Compute p-value\n", + " pval = compute_pvalue(plv_observed_ex, null_vals)\n", + " pvalue_results[n_surr].append(pval)\n", + "\n", + "# Compute statistics\n", + "means = [np.mean(pvalue_results[n]) for n in n_surrogates_list]\n", + "stds = [np.std(pvalue_results[n]) for n in n_surrogates_list]\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Left: Boxplot of p-values\n", + "bp = axes[0].boxplot([pvalue_results[n] for n in n_surrogates_list], \n", + " patch_artist=True, labels=[str(n) for n in n_surrogates_list])\n", + "for patch in bp['boxes']:\n", + " patch.set_facecolor(PRIMARY_BLUE)\n", + " patch.set_alpha(0.7)\n", + "axes[0].set_xlabel('Number of Surrogates', fontsize=11)\n", + "axes[0].set_ylabel('P-value', fontsize=11)\n", + "axes[0].set_title('P-value Variability vs N Surrogates', fontsize=12, fontweight='bold')\n", + "\n", + "# Right: Standard deviation\n", + "axes[1].bar(range(len(n_surrogates_list)), stds, color=SECONDARY_ORANGE, alpha=0.7)\n", + "axes[1].set_xticks(range(len(n_surrogates_list)))\n", + "axes[1].set_xticklabels([str(n) for n in n_surrogates_list])\n", + "axes[1].set_xlabel('Number of Surrogates', fontsize=11)\n", + "axes[1].set_ylabel('Std of P-values', fontsize=11)\n", + "axes[1].set_title('P-value Stability', fontsize=12, fontweight='bold')\n", + "\n", + "plt.suptitle('Exercise 2: More Surrogates = More Stable P-values', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"P-value statistics by number of surrogates:\")\n", + "for n, m, s in zip(n_surrogates_list, means, stds):\n", + " print(f\" N = {n:4d}: mean = {m:.4f}, std = {s:.4f}\")\n", + "print(\"\\n→ P-values stabilize around N = 1000. Use N ≥ 1000 for reliable results.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b2f665ed", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 3 SOLUTION: Multiple Comparisons Impact\n", + "# ============================================================================\n", + "\n", + "np.random.seed(42)\n", + "\n", + "n_pairs = 100\n", + "alpha_test = 0.05\n", + "n_surrogates_ex3 = 200 # Fewer for speed\n", + "\n", + "# Generate independent signal pairs (no true connectivity)\n", + "pvalues_ex3 = []\n", + "\n", + "print(\"Testing 100 independent signal pairs (no true connectivity)...\")\n", + "for pair in range(n_pairs):\n", + " # Generate two independent signals\n", + " s1 = np.random.randn(len(t_ex))\n", + " s2 = np.random.randn(len(t_ex))\n", + " s1 = bandpass_filter(s1, 8, 12, fs)\n", + " s2 = bandpass_filter(s2, 8, 12, fs)\n", + " \n", + " # Observed PLV\n", + " plv = compute_plv(s1, s2)\n", + " \n", + " # Null distribution (fast: time shifting)\n", + " null_vals = np.zeros(n_surrogates_ex3)\n", + " for i in range(n_surrogates_ex3):\n", + " null_vals[i] = compute_plv(s1, time_shift(s2))\n", + " \n", + " # P-value\n", + " pval = compute_pvalue(plv, null_vals)\n", + " pvalues_ex3.append(pval)\n", + "\n", + "pvalues_ex3 = np.array(pvalues_ex3)\n", + "\n", + "# Apply corrections\n", + "sig_none = pvalues_ex3 < alpha_test\n", + "sig_bonf, _ = bonferroni_correction(pvalues_ex3, alpha_test)\n", + "sig_fdr, _ = fdr_correction(pvalues_ex3, alpha_test)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Left: P-value distribution\n", + "axes[0].hist(pvalues_ex3, bins=20, color=PRIMARY_BLUE, edgecolor='white', alpha=0.7)\n", + "axes[0].axvline(alpha_test, color=PRIMARY_RED, linewidth=2, linestyle='--',\n", + " label=f'α = {alpha_test}')\n", + "axes[0].set_xlabel('P-value', fontsize=11)\n", + "axes[0].set_ylabel('Count', fontsize=11)\n", + "axes[0].set_title('P-value Distribution (H₀ true for all)', fontsize=12, fontweight='bold')\n", + "axes[0].legend()\n", + "\n", + "# Right: False positives by method\n", + "methods_ex3 = ['No correction', 'Bonferroni', 'FDR']\n", + "fp_counts = [np.sum(sig_none), np.sum(sig_bonf), np.sum(sig_fdr)]\n", + "colors_ex3 = [PRIMARY_RED, PRIMARY_GREEN, SECONDARY_ORANGE]\n", + "\n", + "bars = axes[1].bar(methods_ex3, fp_counts, color=colors_ex3, alpha=0.7)\n", + "axes[1].axhline(n_pairs * alpha_test, color='black', linestyle='--', \n", + " label=f'Expected FP = {n_pairs * alpha_test:.0f}')\n", + "axes[1].set_ylabel('False Positives', fontsize=11)\n", + "axes[1].set_title('False Positives by Correction Method', fontsize=12, fontweight='bold')\n", + "axes[1].legend()\n", + "\n", + "# Add value labels\n", + "for bar, count in zip(bars, fp_counts):\n", + " axes[1].text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.5,\n", + " str(count), ha='center', fontsize=12, fontweight='bold')\n", + "\n", + "plt.suptitle('Exercise 3: Multiple Comparisons Problem Demonstrated', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\nResults ({n_pairs} pairs tested, ALL with NO true connectivity):\")\n", + "print(f\" No correction: {np.sum(sig_none)} false positives (expected: {n_pairs * alpha_test:.0f})\")\n", + "print(f\" Bonferroni: {np.sum(sig_bonf)} false positives\")\n", + "print(f\" FDR: {np.sum(sig_fdr)} false positives\")\n", + "print(\"\\n→ Without correction, ~5% of null pairs are falsely declared significant!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "53f5efbf", + "metadata": {}, + "outputs": [], + "source": [ + "# ============================================================================\n", + "# EXERCISE 4 SOLUTION: Power Analysis\n", + "# ============================================================================\n", + "\n", + "def generate_coupled_signals(plv_target: float, \n", + " n_samples: int,\n", + " fs: int) -> Tuple[NDArray, NDArray]:\n", + " \"\"\"\n", + " Generate two signals with approximately the target PLV.\n", + " \n", + " The coupling strength is controlled by mixing a shared oscillation\n", + " with independent noise.\n", + " \"\"\"\n", + " t = np.arange(n_samples) / fs\n", + " \n", + " # Shared oscillation (10 Hz)\n", + " shared = np.sin(2 * np.pi * 10 * t)\n", + " \n", + " # Coupling factor (empirically tuned)\n", + " coupling = plv_target ** 0.5 # Approximate\n", + " \n", + " # Signal 1: shared + noise\n", + " s1 = coupling * shared + (1 - coupling) * np.random.randn(n_samples)\n", + " \n", + " # Signal 2: phase-shifted shared + noise\n", + " phase_shift = np.random.uniform(0, np.pi / 4)\n", + " s2 = coupling * np.sin(2 * np.pi * 10 * t + phase_shift) + (1 - coupling) * np.random.randn(n_samples)\n", + " \n", + " # Bandpass filter\n", + " s1 = bandpass_filter(s1, 8, 12, fs)\n", + " s2 = bandpass_filter(s2, 8, 12, fs)\n", + " \n", + " return s1, s2\n", + "\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Parameters\n", + "plv_targets = [0.3, 0.5, 0.7]\n", + "signal_lengths = [1, 2, 5] # seconds\n", + "n_tests = 50\n", + "n_surrogates_ex4 = 200\n", + "\n", + "# Store power results\n", + "power_results = np.zeros((len(plv_targets), len(signal_lengths)))\n", + "\n", + "print(\"Running power analysis (this may take a moment)...\")\n", + "\n", + "for i, plv_target in enumerate(plv_targets):\n", + " for j, sig_len in enumerate(signal_lengths):\n", + " n_samples_ex4 = int(sig_len * fs)\n", + " n_significant = 0\n", + " \n", + " for test in range(n_tests):\n", + " # Generate coupled signals\n", + " s1, s2 = generate_coupled_signals(plv_target, n_samples_ex4, fs)\n", + " \n", + " # Observed PLV\n", + " plv = compute_plv(s1, s2)\n", + " \n", + " # Null distribution\n", + " null_vals = np.zeros(n_surrogates_ex4)\n", + " for k in range(n_surrogates_ex4):\n", + " null_vals[k] = compute_plv(s1, time_shift(s2))\n", + " \n", + " # P-value\n", + " pval = compute_pvalue(plv, null_vals)\n", + " \n", + " if pval < 0.05:\n", + " n_significant += 1\n", + " \n", + " power_results[i, j] = n_significant / n_tests\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "x = np.arange(len(signal_lengths))\n", + "width = 0.25\n", + "colors_power = [PRIMARY_BLUE, SECONDARY_ORANGE, PRIMARY_GREEN]\n", + "\n", + "for i, (plv_target, color) in enumerate(zip(plv_targets, colors_power)):\n", + " offset = (i - 1) * width\n", + " bars = ax.bar(x + offset, power_results[i] * 100, width, \n", + " label=f'PLV = {plv_target}', color=color, alpha=0.8)\n", + "\n", + "ax.axhline(80, color='red', linestyle='--', alpha=0.5, label='80% power threshold')\n", + "ax.set_xlabel('Signal Length (seconds)', fontsize=12)\n", + "ax.set_ylabel('Statistical Power (%)', fontsize=12)\n", + "ax.set_title('Exercise 4: Power Increases with PLV and Signal Length', \n", + " fontsize=14, fontweight='bold')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels([f'{s}s' for s in signal_lengths])\n", + "ax.legend(loc='lower right')\n", + "ax.set_ylim(0, 105)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\nStatistical Power (% tests correctly rejecting H₀):\")\n", + "print(f\"{'PLV':>8}\", end='')\n", + "for sig_len in signal_lengths:\n", + " print(f\"{sig_len}s\".rjust(10), end='')\n", + "print()\n", + "for i, plv_target in enumerate(plv_targets):\n", + " print(f\"{plv_target:>8.1f}\", end='')\n", + " for j in range(len(signal_lengths)):\n", + " print(f\"{power_results[i, j] * 100:>9.0f}%\", end='')\n", + " print()\n", + "print(\"\\n→ Higher PLV and longer signals = more statistical power!\")" + ] + }, + { + "cell_type": "markdown", + "id": "e9eaa41b", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 17: Summary\n", + "\n", + "### Key Concepts Learned\n", + "\n", + "1. **Null Hypothesis Testing**\n", + " - H₀: No true connectivity (observed values due to chance)\n", + " - Build null distribution using surrogate data\n", + " - P-value = probability of observing data this extreme under H₀\n", + "\n", + "2. **Surrogate Methods**\n", + " - **Phase shuffling**: Preserves spectrum, destroys phase relationships\n", + " - **Time shifting**: Faster, simpler, less rigorous\n", + " - Use enough surrogates (≥1000 for α = 0.05)\n", + "\n", + "3. **Multiple Comparisons Correction**\n", + " - Testing many pairs inflates false positive rate\n", + " - **Bonferroni**: Conservative, controls FWER\n", + " - **FDR (Benjamini-Hochberg)**: Less conservative, controls proportion of false discoveries\n", + "\n", + "4. **Beyond P-Values**\n", + " - **Effect size** (Cohen's d): How big is the effect?\n", + " - **Confidence intervals**: Uncertainty quantification\n", + " - Always report both p-values AND effect sizes\n", + "\n", + "5. **Permutation Testing**\n", + " - Non-parametric group comparisons\n", + " - No distributional assumptions\n", + " - Shuffle group labels to build null distribution\n", + "\n", + "### Decision Flowchart\n", + "\n", + "```\n", + "Is connectivity significant?\n", + "│\n", + "├─→ Single pair → Surrogate testing (phase shuffle)\n", + "│\n", + "├─→ Many pairs → Apply correction (FDR for exploratory, Bonferroni for confirmatory)\n", + "│\n", + "└─→ Group comparison → Permutation testing\n", + "```\n", + "\n", + "### What's Next?\n", + "\n", + "In **C04**, you'll learn about **causality and directionality** — determining not just IF signals are connected, but in which DIRECTION information flows." + ] + }, + { + "cell_type": "markdown", + "id": "8a630e0c", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 18: Discussion Questions\n", + "\n", + "1. **When would you choose Bonferroni over FDR correction?**\n", + " - Consider the cost of false positives vs. false negatives in your research context.\n", + "\n", + "2. **How many surrogates are \"enough\"?**\n", + " - It depends on your desired p-value precision. For α = 0.001, you need at least 1000. For α = 0.0001, at least 10000.\n", + "\n", + "3. **What if you test multiple frequency bands AND multiple channel pairs?**\n", + " - You should correct for ALL tests. Some researchers use cluster-based permutation testing.\n", + "\n", + "4. **Can you trust a significant result without replication?**\n", + " - Single studies can find false positives. Replication is the gold standard.\n", + "\n", + "5. **How do surrogate methods handle non-stationarity?**\n", + " - Standard phase shuffling assumes stationarity. For non-stationary data, consider windowed approaches or AAFT.\n", + "\n", + "---\n", + "\n", + "**Congratulations!** You now understand how to properly test connectivity for statistical significance. This is crucial for making valid scientific claims about brain connectivity.\n", + "\n", + "*Remember: A connectivity value without proper statistical testing is just a number — it tells you nothing about whether it's real or just noise.*" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/D_information_theory/D01_entropy_information.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/D_information_theory/D01_entropy_information.ipynb new file mode 100644 index 0000000..510c69a --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/D_information_theory/D01_entropy_information.ipynb @@ -0,0 +1,1802 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "af38adc0", + "metadata": {}, + "source": [ + "## 1. Introduction — What is Information?\n", + "\n", + "In everyday language, \"information\" means facts, data, or knowledge. But in mathematics and signal processing, **information** has a precise, quantifiable meaning: it represents the **reduction of uncertainty**.\n", + "\n", + "This fundamental insight comes from **Claude Shannon's** groundbreaking 1948 paper \"A Mathematical Theory of Communication\", which established that:\n", + "\n", + "1. **Information can be quantified** — measured in precise units called **bits**\n", + "2. **Information = Surprise** — the less expected an event, the more information it carries\n", + "3. **Uncertainty can be measured** — via a quantity called **entropy**\n", + "\n", + "### Why Does This Matter for Neuroscience?\n", + "\n", + "Information theory provides powerful tools for analyzing neural signals:\n", + "\n", + "- **How much information** does a brain signal carry?\n", + "- **How much information is shared** between two signals? → This leads to connectivity measures!\n", + "- **How much information flows** from one signal to another? → This reveals causality!\n", + "\n", + "In this notebook, we'll build the foundational concepts: **entropy** and **information content**. These are the building blocks for mutual information (D02) and transfer entropy (D03), which are powerful connectivity metrics.\n", + "\n", + "> 💡 **Key insight**: Information = Surprise. The less expected something is, the more information it carries when it occurs." + ] + }, + { + "cell_type": "markdown", + "id": "3ff773f5", + "metadata": {}, + "source": [ + "## 2. Intuition — Surprise and Uncertainty\n", + "\n", + "Before diving into mathematics, let's build intuition with thought experiments.\n", + "\n", + "### Thought Experiment 1: Weather Forecasts\n", + "\n", + "Consider the statement \"Tomorrow will be sunny\":\n", + "\n", + "- **In the Sahara desert**: This is expected → carries **little information**\n", + "- **In London**: This is less expected → carries **more information**\n", + "- **\"Tomorrow will snow\" in the Sahara**: Extremely surprising → carries **a lot of information**!\n", + "\n", + "The key principle: **Rare events carry more information than common events.**\n", + "\n", + "### Thought Experiment 2: Coin Flips\n", + "\n", + "- **Fair coin** (50% heads, 50% tails): The outcome is maximally uncertain → each flip provides **maximum information**\n", + "- **Biased coin** (99% heads, 1% tails): The outcome is predictable → each flip provides **little information** (usually just confirms what we expected)\n", + "\n", + "### The Connection\n", + "\n", + "- **Uncertainty** = how spread out the possibilities are\n", + "- **Information** = how much uncertainty is reduced by an observation\n", + "\n", + "Now let's see how to **quantify** this precisely!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "51d7e512", + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from numpy.typing import NDArray\n", + "from typing import Tuple, Optional, Union, List\n", + "from scipy import stats\n", + "from scipy.signal import welch\n", + "import sys\n", + "sys.path.append(\"../../..\")\n", + "\n", + "from src.colors import COLORS\n", + "from src.plotting import configure_plots\n", + "\n", + "configure_plots()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9832b176", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 1: Distributions with different uncertainty\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "# Distribution 1: Uniform (maximum uncertainty)\n", + "probs_uniform = np.array([0.2, 0.2, 0.2, 0.2, 0.2])\n", + "axes[0].bar(range(5), probs_uniform, color=COLORS[\"signal_1\"], edgecolor=\"white\", linewidth=2)\n", + "axes[0].set_title(\"Uniform Distribution\\n(Maximum Uncertainty)\", fontsize=12, fontweight=\"bold\")\n", + "axes[0].set_xlabel(\"Outcome\")\n", + "axes[0].set_ylabel(\"Probability\")\n", + "axes[0].set_ylim(0, 0.8)\n", + "axes[0].set_xticks(range(5))\n", + "axes[0].set_xticklabels([\"A\", \"B\", \"C\", \"D\", \"E\"])\n", + "\n", + "# Distribution 2: Slightly peaked (moderate uncertainty)\n", + "probs_moderate = np.array([0.1, 0.15, 0.5, 0.15, 0.1])\n", + "axes[1].bar(range(5), probs_moderate, color=COLORS[\"signal_2\"], edgecolor=\"white\", linewidth=2)\n", + "axes[1].set_title(\"Peaked Distribution\\n(Moderate Uncertainty)\", fontsize=12, fontweight=\"bold\")\n", + "axes[1].set_xlabel(\"Outcome\")\n", + "axes[1].set_ylim(0, 0.8)\n", + "axes[1].set_xticks(range(5))\n", + "axes[1].set_xticklabels([\"A\", \"B\", \"C\", \"D\", \"E\"])\n", + "\n", + "# Distribution 3: Highly peaked (low uncertainty)\n", + "probs_peaked = np.array([0.02, 0.03, 0.9, 0.03, 0.02])\n", + "axes[2].bar(range(5), probs_peaked, color=COLORS[\"signal_3\"], edgecolor=\"white\", linewidth=2)\n", + "axes[2].set_title(\"Highly Peaked Distribution\\n(Low Uncertainty)\", fontsize=12, fontweight=\"bold\")\n", + "axes[2].set_xlabel(\"Outcome\")\n", + "axes[2].set_ylim(0, 0.8)\n", + "axes[2].set_xticks(range(5))\n", + "axes[2].set_xticklabels([\"A\", \"B\", \"C\", \"D\", \"E\"])\n", + "\n", + "plt.suptitle(\"Which distribution has the most uncertainty?\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Answer: The UNIFORM distribution (left) has maximum uncertainty.\")\n", + "print(\"When all outcomes are equally likely, we have no way to predict what will happen!\")" + ] + }, + { + "cell_type": "markdown", + "id": "a92c1764", + "metadata": {}, + "source": [ + "## 3. Shannon Entropy — The Formula\n", + "\n", + "**Shannon entropy** quantifies the uncertainty of a random variable. For a discrete random variable $X$ with possible outcomes $x_1, x_2, ..., x_n$ and probabilities $p(x_i)$:\n", + "\n", + "$$H(X) = -\\sum_{i=1}^{n} p(x_i) \\log p(x_i)$$\n", + "\n", + "### Understanding the Components\n", + "\n", + "- **$p(x_i)$**: Probability of outcome $x_i$\n", + "- **$\\log p(x_i)$**: Negative (since $p \\leq 1$), so the negative sign makes $H$ positive\n", + "- **Sum**: Average over all possible outcomes, weighted by probability\n", + "\n", + "### Units\n", + "\n", + "- **Base 2** (log₂): Entropy in **bits** — most common in information theory\n", + "- **Base e** (ln): Entropy in **nats** — common in physics and machine learning\n", + "- Conversion: 1 nat ≈ 1.44 bits\n", + "\n", + "### Convention\n", + "\n", + "When $p = 0$, we define $0 \\times \\log(0) = 0$ (the limit as $p \\to 0$).\n", + "\n", + "### Interpretations\n", + "\n", + "1. **Average surprise**: $H(X)$ = expected value of \"surprise\" $(-\\log p)$\n", + "2. **Minimum encoding length**: Average bits needed to encode outcomes\n", + "3. **Uncertainty measure**: How unpredictable is $X$ before we observe it?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eb7af29d", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 2: Contribution of each probability to entropy\n", + "\n", + "p_values = np.linspace(0.001, 0.999, 500)\n", + "contribution = -p_values * np.log2(p_values)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "\n", + "ax.plot(p_values, contribution, color=COLORS[\"signal_1\"], linewidth=2.5)\n", + "ax.fill_between(p_values, contribution, alpha=0.3, color=COLORS[\"signal_1\"])\n", + "\n", + "# Mark maximum\n", + "p_max = 1 / np.e # ≈ 0.368\n", + "contrib_max = -p_max * np.log2(p_max)\n", + "ax.axvline(p_max, color=COLORS[\"grid\"], linestyle=\"--\", linewidth=1.5, alpha=0.7)\n", + "ax.scatter([p_max], [contrib_max], color=COLORS[\"signal_2\"], s=100, zorder=5)\n", + "ax.annotate(f\"Maximum at p = 1/e ≈ {p_max:.3f}\", xy=(p_max, contrib_max),\n", + " xytext=(p_max + 0.15, contrib_max),\n", + " fontsize=11, fontweight=\"bold\",\n", + " arrowprops=dict(arrowstyle=\"->\", color=\"black\"))\n", + "\n", + "ax.set_xlabel(\"Probability p\", fontsize=12)\n", + "ax.set_ylabel(\"-p × log₂(p)\", fontsize=12)\n", + "ax.set_title(\"Contribution of Each Probability to Total Entropy\", fontsize=14, fontweight=\"bold\")\n", + "ax.set_xlim(0, 1)\n", + "ax.set_ylim(0, 0.55)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Each outcome contributes -p × log₂(p) to the total entropy.\")\n", + "print(\"Very rare events (p≈0) and very common events (p≈1) contribute little.\")\n", + "print(\"Events with intermediate probability contribute the most!\")" + ] + }, + { + "cell_type": "markdown", + "id": "11d395b6", + "metadata": {}, + "source": [ + "## 4. Computing Entropy — Examples\n", + "\n", + "Let's compute entropy for concrete examples to build understanding." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b7e7c800", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_entropy_discrete(\n", + " probabilities: NDArray[np.float64],\n", + " base: float = 2.0\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Shannon entropy of a discrete probability distribution.\n", + " \n", + " Parameters\n", + " ----------\n", + " probabilities : NDArray[np.float64]\n", + " Probability distribution (must sum to 1).\n", + " base : float, optional\n", + " Logarithm base. Use 2 for bits, np.e for nats. Default is 2.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Shannon entropy of the distribution.\n", + " \n", + " Examples\n", + " --------\n", + " >>> compute_entropy_discrete(np.array([0.5, 0.5]))\n", + " 1.0 # Fair coin = 1 bit\n", + " \"\"\"\n", + " # Ensure probabilities sum to 1 (with tolerance)\n", + " assert np.abs(np.sum(probabilities) - 1.0) < 1e-9, \"Probabilities must sum to 1\"\n", + " \n", + " # Filter out zeros to avoid log(0)\n", + " p = probabilities[probabilities > 0]\n", + " \n", + " # Compute entropy\n", + " if base == np.e:\n", + " entropy = -np.sum(p * np.log(p))\n", + " else:\n", + " entropy = -np.sum(p * np.log(p) / np.log(base))\n", + " \n", + " return float(entropy)\n", + "\n", + "\n", + "def compute_entropy_from_counts(\n", + " counts: NDArray[np.int64],\n", + " base: float = 2.0\n", + ") -> float:\n", + " \"\"\"\n", + " Estimate entropy from observed counts.\n", + " \n", + " Parameters\n", + " ----------\n", + " counts : NDArray[np.int64]\n", + " Count of observations for each outcome.\n", + " base : float, optional\n", + " Logarithm base. Default is 2 (bits).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Estimated Shannon entropy.\n", + " \"\"\"\n", + " # Convert counts to probabilities\n", + " total = np.sum(counts)\n", + " if total == 0:\n", + " return 0.0\n", + " \n", + " probabilities = counts / total\n", + " return compute_entropy_discrete(probabilities, base)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b27b4eed", + "metadata": {}, + "outputs": [], + "source": [ + "# Example 1: Fair coin\n", + "p_fair_coin = np.array([0.5, 0.5])\n", + "H_fair = compute_entropy_discrete(p_fair_coin)\n", + "print(f\"Example 1: Fair coin\")\n", + "print(f\" P(heads) = P(tails) = 0.5\")\n", + "print(f\" H = {H_fair:.4f} bits\")\n", + "print(f\" → Maximum entropy for 2 outcomes!\\n\")\n", + "\n", + "# Example 2: Biased coin (90% heads)\n", + "p_biased = np.array([0.9, 0.1])\n", + "H_biased = compute_entropy_discrete(p_biased)\n", + "print(f\"Example 2: Biased coin (90% heads)\")\n", + "print(f\" P(heads) = 0.9, P(tails) = 0.1\")\n", + "print(f\" H = {H_biased:.4f} bits\")\n", + "print(f\" → Less entropy (more predictable)\\n\")\n", + "\n", + "# Example 3: Fair die (6 sides)\n", + "p_die = np.ones(6) / 6\n", + "H_die = compute_entropy_discrete(p_die)\n", + "print(f\"Example 3: Fair die (6 sides)\")\n", + "print(f\" P(each side) = 1/6\")\n", + "print(f\" H = {H_die:.4f} bits = log₂(6)\")\n", + "print(f\" → Maximum entropy for 6 outcomes!\\n\")\n", + "\n", + "# Example 4: Loaded die\n", + "p_loaded = np.array([0.4, 0.2, 0.15, 0.1, 0.1, 0.05])\n", + "H_loaded = compute_entropy_discrete(p_loaded)\n", + "print(f\"Example 4: Loaded die\")\n", + "print(f\" Non-uniform probabilities\")\n", + "print(f\" H = {H_loaded:.4f} bits\")\n", + "print(f\" → Less than fair die ({H_die:.4f} bits)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3644175e", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 3: Comparing distributions and their entropy\n", + "\n", + "examples = [\n", + " (\"Fair Coin\", np.array([0.5, 0.5]), [\"H\", \"T\"]),\n", + " (\"Biased Coin\\n(90% heads)\", np.array([0.9, 0.1]), [\"H\", \"T\"]),\n", + " (\"Fair Die\", np.ones(6)/6, [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\"]),\n", + " (\"Loaded Die\", np.array([0.4, 0.2, 0.15, 0.1, 0.1, 0.05]), [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\"]),\n", + "]\n", + "\n", + "fig, axes = plt.subplots(1, 4, figsize=(16, 4))\n", + "colors = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"], COLORS[\"signal_4\"]]\n", + "\n", + "for ax, (title, probs, labels), color in zip(axes, examples, colors):\n", + " H = compute_entropy_discrete(probs)\n", + " ax.bar(range(len(probs)), probs, color=color, edgecolor=\"white\", linewidth=2)\n", + " ax.set_title(f\"{title}\\nH = {H:.3f} bits\", fontsize=11, fontweight=\"bold\")\n", + " ax.set_xlabel(\"Outcome\")\n", + " ax.set_ylabel(\"Probability\")\n", + " ax.set_ylim(0, 1)\n", + " ax.set_xticks(range(len(probs)))\n", + " ax.set_xticklabels(labels)\n", + " ax.axhline(1/len(probs), color=\"gray\", linestyle=\"--\", alpha=0.5, label=\"Uniform\")\n", + "\n", + "plt.suptitle(\"Entropy Reflects How 'Spread Out' a Distribution Is\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Key observation: The more uniform (spread out) the distribution,\")\n", + "print(\" the HIGHER the entropy. Maximum entropy = uniform distribution.\")" + ] + }, + { + "cell_type": "markdown", + "id": "2dfbcec3", + "metadata": {}, + "source": [ + "## 5. Maximum Entropy\n", + "\n", + "For $n$ possible outcomes, the **maximum entropy** is achieved when all outcomes are equally likely (uniform distribution):\n", + "\n", + "$$H_{max} = \\log(n)$$\n", + "\n", + "This makes intuitive sense: we're most uncertain when we have no reason to expect any outcome over another.\n", + "\n", + "### Normalized Entropy\n", + "\n", + "To compare entropies across systems with different numbers of states, we can **normalize**:\n", + "\n", + "$$H_{normalized} = \\frac{H}{H_{max}} = \\frac{H}{\\log(n)}$$\n", + "\n", + "- Range: 0 (deterministic) to 1 (maximum uncertainty)\n", + "- Useful for comparing \"how random\" different systems are" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1d60c795", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_max_entropy(n_states: int, base: float = 2.0) -> float:\n", + " \"\"\"\n", + " Compute maximum possible entropy for n states.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_states : int\n", + " Number of possible states/outcomes.\n", + " base : float, optional\n", + " Logarithm base. Default is 2 (bits).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Maximum entropy = log(n_states).\n", + " \"\"\"\n", + " if n_states <= 0:\n", + " raise ValueError(\"n_states must be positive\")\n", + " \n", + " if base == np.e:\n", + " return float(np.log(n_states))\n", + " else:\n", + " return float(np.log(n_states) / np.log(base))\n", + "\n", + "\n", + "def compute_normalized_entropy(\n", + " probabilities: NDArray[np.float64],\n", + " base: float = 2.0\n", + ") -> float:\n", + " \"\"\"\n", + " Compute entropy normalized by maximum (range 0-1).\n", + " \n", + " Parameters\n", + " ----------\n", + " probabilities : NDArray[np.float64]\n", + " Probability distribution.\n", + " base : float, optional\n", + " Logarithm base. Default is 2.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Normalized entropy in range [0, 1].\n", + " \"\"\"\n", + " n_states = len(probabilities)\n", + " if n_states <= 1:\n", + " return 0.0\n", + " \n", + " H = compute_entropy_discrete(probabilities, base)\n", + " H_max = compute_max_entropy(n_states, base)\n", + " \n", + " return H / H_max if H_max > 0 else 0.0" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a5773485", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: Entropy vs distribution \"peakedness\"\n", + "\n", + "# Create distributions from uniform to very peaked using Dirichlet\n", + "n_states = 5\n", + "concentration_params = [0.1, 0.5, 1.0, 2.0, 5.0, 10.0, 50.0]\n", + "\n", + "# For reproducibility, we'll create peaked distributions analytically\n", + "def create_peaked_distribution(n: int, peak_strength: float) -> NDArray:\n", + " \"\"\"Create distribution with controllable peakedness.\"\"\"\n", + " if peak_strength == 0:\n", + " return np.ones(n) / n\n", + " weights = np.exp(-peak_strength * np.abs(np.arange(n) - n//2))\n", + " return weights / np.sum(weights)\n", + "\n", + "peak_values = np.linspace(0, 5, 50)\n", + "entropies = []\n", + "normalized_entropies = []\n", + "\n", + "for peak in peak_values:\n", + " probs = create_peaked_distribution(n_states, peak)\n", + " entropies.append(compute_entropy_discrete(probs))\n", + " normalized_entropies.append(compute_normalized_entropy(probs))\n", + "\n", + "H_max = compute_max_entropy(n_states)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Entropy vs peakedness\n", + "axes[0].plot(peak_values, entropies, color=COLORS[\"signal_1\"], linewidth=2.5, label=\"Entropy H\")\n", + "axes[0].axhline(H_max, color=COLORS[\"grid\"], linestyle=\"--\", linewidth=2, label=f\"H_max = {H_max:.3f} bits\")\n", + "axes[0].axhline(0, color=\"gray\", linestyle=\":\", linewidth=1)\n", + "axes[0].set_xlabel(\"Peakedness (concentration)\", fontsize=12)\n", + "axes[0].set_ylabel(\"Entropy (bits)\", fontsize=12)\n", + "axes[0].set_title(\"Entropy Decreases as Distribution Becomes Peaked\", fontsize=12, fontweight=\"bold\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "axes[0].set_ylim(-0.1, H_max + 0.3)\n", + "\n", + "# Right: Example distributions\n", + "peak_examples = [0, 1, 3, 5]\n", + "colors_ex = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"], COLORS[\"signal_4\"]]\n", + "for peak, color in zip(peak_examples, colors_ex):\n", + " probs = create_peaked_distribution(n_states, peak)\n", + " H = compute_entropy_discrete(probs)\n", + " offset = peak_examples.index(peak) * 0.15\n", + " axes[1].bar(np.arange(n_states) + offset, probs, width=0.15, color=color, \n", + " label=f\"peak={peak}, H={H:.2f}\", alpha=0.8)\n", + "\n", + "axes[1].set_xlabel(\"Outcome\", fontsize=12)\n", + "axes[1].set_ylabel(\"Probability\", fontsize=12)\n", + "axes[1].set_title(\"Distribution Shapes at Different Peakedness\", fontsize=12, fontweight=\"bold\")\n", + "axes[1].legend(fontsize=9)\n", + "axes[1].set_xticks(np.arange(n_states) + 0.225)\n", + "axes[1].set_xticklabels([\"A\", \"B\", \"C\", \"D\", \"E\"])\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "22f6acce", + "metadata": {}, + "source": [ + "## 6. Binary Entropy Function\n", + "\n", + "A special and commonly used case is the **binary entropy function**: the entropy of a Bernoulli variable (two outcomes) as a function of a single probability $p$:\n", + "\n", + "$$H(p) = -p \\log_2(p) - (1-p) \\log_2(1-p)$$\n", + "\n", + "### Properties\n", + "\n", + "- **H(0) = H(1) = 0**: Deterministic outcomes → no uncertainty\n", + "- **H(0.5) = 1 bit**: Maximum uncertainty for binary variable\n", + "- **Symmetric**: H(p) = H(1-p)\n", + "\n", + "This function is useful for understanding information in yes/no questions and binary classifications." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "49616526", + "metadata": {}, + "outputs": [], + "source": [ + "def binary_entropy(p: Union[float, NDArray[np.float64]]) -> Union[float, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute binary entropy function H(p) in bits.\n", + " \n", + " Parameters\n", + " ----------\n", + " p : float or NDArray\n", + " Probability value(s) in range [0, 1].\n", + " \n", + " Returns\n", + " -------\n", + " float or NDArray\n", + " Binary entropy H(p) = -p*log2(p) - (1-p)*log2(1-p).\n", + " \"\"\"\n", + " p = np.asarray(p)\n", + " \n", + " # Handle edge cases\n", + " result = np.zeros_like(p, dtype=float)\n", + " \n", + " # Only compute for valid probabilities (not 0 or 1)\n", + " valid = (p > 0) & (p < 1)\n", + " p_valid = p[valid]\n", + " result[valid] = -p_valid * np.log2(p_valid) - (1 - p_valid) * np.log2(1 - p_valid)\n", + " \n", + " # Return scalar if input was scalar\n", + " if result.ndim == 0:\n", + " return float(result)\n", + " return result" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a5b04b3d", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: Binary entropy function\n", + "\n", + "p_values = np.linspace(0, 1, 500)\n", + "H_binary = binary_entropy(p_values)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "ax.plot(p_values, H_binary, color=COLORS[\"signal_1\"], linewidth=3)\n", + "ax.fill_between(p_values, H_binary, alpha=0.2, color=COLORS[\"signal_1\"])\n", + "\n", + "# Mark key points\n", + "ax.scatter([0.5], [1.0], color=COLORS[\"signal_2\"], s=150, zorder=5, edgecolor=\"white\", linewidth=2)\n", + "ax.annotate(\"Maximum: H(0.5) = 1 bit\", xy=(0.5, 1.0), xytext=(0.65, 0.9),\n", + " fontsize=11, fontweight=\"bold\",\n", + " arrowprops=dict(arrowstyle=\"->\", color=\"black\"))\n", + "\n", + "# Mark zero points\n", + "ax.scatter([0, 1], [0, 0], color=COLORS[\"signal_3\"], s=100, zorder=5)\n", + "ax.annotate(\"H(0) = 0\\n(certain outcome)\", xy=(0, 0), xytext=(0.08, 0.15), fontsize=10)\n", + "ax.annotate(\"H(1) = 0\\n(certain outcome)\", xy=(1, 0), xytext=(0.75, 0.15), fontsize=10)\n", + "\n", + "ax.set_xlabel(\"Probability p (of one outcome)\", fontsize=12)\n", + "ax.set_ylabel(\"Binary Entropy H(p) [bits]\", fontsize=12)\n", + "ax.set_title(\"Binary Entropy Function: Uncertainty in Yes/No Questions\", fontsize=14, fontweight=\"bold\")\n", + "ax.set_xlim(-0.02, 1.02)\n", + "ax.set_ylim(-0.05, 1.1)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# Add symmetry annotation\n", + "ax.annotate(\"\", xy=(0.3, 0.88), xytext=(0.7, 0.88),\n", + " arrowprops=dict(arrowstyle=\"<->\", color=\"gray\", lw=1.5))\n", + "ax.text(0.5, 0.92, \"Symmetric: H(p) = H(1-p)\", ha=\"center\", fontsize=10, color=\"gray\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n💡 A fair coin flip gives exactly 1 bit of information.\")\n", + "print(\" This is why 'bit' is the fundamental unit of information!\")" + ] + }, + { + "cell_type": "markdown", + "id": "cd419cdd", + "metadata": {}, + "source": [ + "## 7. Entropy of Continuous Variables\n", + "\n", + "Neural signals like EEG are **continuous** — they can take any value in a range. How do we compute entropy for continuous variables?\n", + "\n", + "### The Problem\n", + "\n", + "Continuous variables have infinitely many possible values. We can't directly sum over infinite outcomes!\n", + "\n", + "### Solution 1: Discretization (Binning)\n", + "\n", + "The practical approach:\n", + "1. Divide the value range into **bins**\n", + "2. Count samples in each bin\n", + "3. Convert counts to probabilities\n", + "4. Compute discrete entropy\n", + "\n", + "This is the most common approach for neural signal analysis.\n", + "\n", + "### Solution 2: Differential Entropy\n", + "\n", + "The theoretical continuous analogue:\n", + "\n", + "$$h(X) = -\\int p(x) \\log p(x) \\, dx$$\n", + "\n", + "⚠️ **Important differences** from discrete entropy:\n", + "- Can be **negative** (unlike discrete entropy)\n", + "- Depends on the **units** of measurement\n", + "- Not directly comparable across different variable types\n", + "\n", + "For most practical neural signal analysis, we use the **binning approach**." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b3c2c780", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6: Continuous distribution and discretization\n", + "\n", + "np.random.seed(42)\n", + "continuous_data = np.random.normal(0, 1, 5000)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Continuous distribution (KDE)\n", + "x_range = np.linspace(-4, 4, 200)\n", + "kde = stats.gaussian_kde(continuous_data)\n", + "axes[0].fill_between(x_range, kde(x_range), alpha=0.5, color=COLORS[\"signal_1\"])\n", + "axes[0].plot(x_range, kde(x_range), color=COLORS[\"signal_1\"], linewidth=2)\n", + "axes[0].set_xlabel(\"Value\", fontsize=12)\n", + "axes[0].set_ylabel(\"Probability Density\", fontsize=12)\n", + "axes[0].set_title(\"Continuous Distribution\\n(Infinitely many possible values)\", fontsize=12, fontweight=\"bold\")\n", + "axes[0].set_xlim(-4, 4)\n", + "\n", + "# Right: Discretized (binned) version\n", + "n_bins = 20\n", + "counts, bin_edges, _ = axes[1].hist(continuous_data, bins=n_bins, color=COLORS[\"signal_2\"], \n", + " edgecolor=\"white\", linewidth=1, alpha=0.8, density=True)\n", + "axes[1].set_xlabel(\"Value\", fontsize=12)\n", + "axes[1].set_ylabel(\"Probability Density\", fontsize=12)\n", + "axes[1].set_title(f\"Discretized into {n_bins} Bins\\n(Finite number of states)\", fontsize=12, fontweight=\"bold\")\n", + "axes[1].set_xlim(-4, 4)\n", + "\n", + "# Add annotation\n", + "axes[1].annotate(\"Each bin becomes\\na discrete state\", xy=(1.5, 0.1), xytext=(2.5, 0.2),\n", + " fontsize=10, arrowprops=dict(arrowstyle=\"->\", color=\"black\"))\n", + "\n", + "plt.suptitle(\"Binning Converts Continuous to Discrete\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d67ecff8", + "metadata": {}, + "source": [ + "## 8. Binning Strategies\n", + "\n", + "The choice of binning strategy critically affects entropy estimation. Let's explore the options.\n", + "\n", + "### The Binning Process\n", + "\n", + "1. **Choose number of bins** (critical choice!)\n", + "2. **Define bin edges** (uniform width or adaptive)\n", + "3. **Count samples** in each bin\n", + "4. **Convert counts to probabilities**\n", + "5. **Compute discrete entropy**\n", + "\n", + "### Binning Methods\n", + "\n", + "1. **Uniform width**: Equal-sized bins across data range (most common)\n", + "2. **Uniform count (equiprobable)**: Bins with equal number of samples\n", + "3. **Adaptive**: Data-driven bin edges (e.g., based on data structure)\n", + "\n", + "### Choosing Number of Bins\n", + "\n", + "- **Too few bins**: Lose information, underestimate entropy\n", + "- **Too many bins**: Sparse bins, biased estimation, overestimate entropy\n", + "\n", + "Common rules of thumb:\n", + "- **√n rule**: bins = √(number of samples)\n", + "- **Sturges' rule**: bins = 1 + log₂(n)\n", + "- **Freedman-Diaconis**: bins based on interquartile range" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9623e012", + "metadata": {}, + "outputs": [], + "source": [ + "def optimal_n_bins(n_samples: int, method: str = \"sturges\") -> int:\n", + " \"\"\"\n", + " Compute optimal number of bins for entropy estimation.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of data samples.\n", + " method : str, optional\n", + " Method for determining bins: \"sturges\", \"sqrt\", \"rice\".\n", + " Default is \"sturges\".\n", + " \n", + " Returns\n", + " -------\n", + " int\n", + " Recommended number of bins.\n", + " \"\"\"\n", + " if n_samples <= 0:\n", + " raise ValueError(\"n_samples must be positive\")\n", + " \n", + " if method == \"sturges\":\n", + " return max(1, int(np.ceil(1 + np.log2(n_samples))))\n", + " elif method == \"sqrt\":\n", + " return max(1, int(np.ceil(np.sqrt(n_samples))))\n", + " elif method == \"rice\":\n", + " return max(1, int(np.ceil(2 * n_samples ** (1/3))))\n", + " else:\n", + " raise ValueError(f\"Unknown method: {method}. Use 'sturges', 'sqrt', or 'rice'.\")\n", + "\n", + "\n", + "def compute_entropy_continuous(\n", + " signal: NDArray[np.float64],\n", + " n_bins: Union[int, str] = \"auto\",\n", + " method: str = \"uniform\"\n", + ") -> Tuple[float, int]:\n", + " \"\"\"\n", + " Estimate entropy of a continuous signal via binning.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.float64]\n", + " Continuous signal to analyze.\n", + " n_bins : int or str, optional\n", + " Number of bins, or \"auto\"/\"sturges\"/\"sqrt\" for automatic.\n", + " Default is \"auto\" (uses Sturges' rule).\n", + " method : str, optional\n", + " Binning method: \"uniform\" (equal width) or \"equiprobable\" (equal count).\n", + " Default is \"uniform\".\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[float, int]\n", + " (entropy in bits, actual number of bins used)\n", + " \"\"\"\n", + " n_samples = len(signal)\n", + " \n", + " # Determine number of bins\n", + " if isinstance(n_bins, str):\n", + " if n_bins == \"auto\" or n_bins == \"sturges\":\n", + " actual_bins = optimal_n_bins(n_samples, \"sturges\")\n", + " elif n_bins == \"sqrt\":\n", + " actual_bins = optimal_n_bins(n_samples, \"sqrt\")\n", + " else:\n", + " actual_bins = optimal_n_bins(n_samples, \"sturges\")\n", + " else:\n", + " actual_bins = int(n_bins)\n", + " \n", + " # Compute histogram\n", + " if method == \"uniform\":\n", + " counts, _ = np.histogram(signal, bins=actual_bins)\n", + " elif method == \"equiprobable\":\n", + " # Create bins with equal number of samples\n", + " percentiles = np.linspace(0, 100, actual_bins + 1)\n", + " bin_edges = np.percentile(signal, percentiles)\n", + " counts, _ = np.histogram(signal, bins=bin_edges)\n", + " else:\n", + " raise ValueError(f\"Unknown method: {method}\")\n", + " \n", + " # Compute entropy from counts\n", + " entropy = compute_entropy_from_counts(counts)\n", + " \n", + " return entropy, actual_bins" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bd70cdd2", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 7: Effect of binning on entropy estimation\n", + "\n", + "np.random.seed(42)\n", + "signal = np.random.normal(0, 1, 1000)\n", + "\n", + "bin_counts = [5, 20, 50, 200]\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 10))\n", + "axes = axes.flatten()\n", + "\n", + "for ax, n_bins in zip(axes, bin_counts):\n", + " entropy, _ = compute_entropy_continuous(signal, n_bins=n_bins)\n", + " H_max = compute_max_entropy(n_bins)\n", + " \n", + " ax.hist(signal, bins=n_bins, color=COLORS[\"signal_1\"], edgecolor=\"white\", alpha=0.8)\n", + " ax.set_title(f\"{n_bins} bins: H = {entropy:.3f} bits (H_max = {H_max:.2f})\", \n", + " fontsize=12, fontweight=\"bold\")\n", + " ax.set_xlabel(\"Value\")\n", + " ax.set_ylabel(\"Count\")\n", + " ax.set_xlim(-4, 4)\n", + "\n", + "plt.suptitle(\"How Binning Choice Affects Entropy Estimate\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Show entropy vs bins\n", + "print(\"\\n📊 Entropy vs Number of Bins:\")\n", + "print(\"-\" * 40)\n", + "for n_bins in [5, 10, 20, 50, 100, 200]:\n", + " H, _ = compute_entropy_continuous(signal, n_bins=n_bins)\n", + " H_max = compute_max_entropy(n_bins)\n", + " print(f\" {n_bins:3d} bins: H = {H:.3f} bits (H_max = {H_max:.2f}, ratio = {H/H_max:.3f})\")\n", + "\n", + "print(\"\\n⚠️ Note: Entropy increases with more bins, but normalized ratio stays similar.\")" + ] + }, + { + "cell_type": "markdown", + "id": "b8ade304", + "metadata": {}, + "source": [ + "## 9. Bias in Entropy Estimation\n", + "\n", + "Entropy estimated from finite samples is **biased** — it tends to **underestimate** the true entropy.\n", + "\n", + "### Why the Bias?\n", + "\n", + "- With finite samples, we can't observe all possible outcomes\n", + "- Empty bins are treated as zero probability\n", + "- Underestimation is more severe with more bins or fewer samples\n", + "\n", + "### Miller-Madow Correction\n", + "\n", + "A simple bias correction:\n", + "\n", + "$$\\hat{H}_{corrected} = \\hat{H} + \\frac{m - 1}{2n \\ln(b)}$$\n", + "\n", + "Where:\n", + "- $m$ = number of bins with non-zero counts\n", + "- $n$ = total number of samples\n", + "- $b$ = logarithm base\n", + "\n", + "This is a first-order correction that helps reduce bias." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c371860b", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_entropy_miller_madow(\n", + " signal: NDArray[np.float64],\n", + " n_bins: int,\n", + " base: float = 2.0\n", + ") -> float:\n", + " \"\"\"\n", + " Compute entropy with Miller-Madow bias correction.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.float64]\n", + " Continuous signal to analyze.\n", + " n_bins : int\n", + " Number of bins for discretization.\n", + " base : float, optional\n", + " Logarithm base. Default is 2 (bits).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Bias-corrected entropy estimate.\n", + " \"\"\"\n", + " n_samples = len(signal)\n", + " \n", + " # Compute histogram\n", + " counts, _ = np.histogram(signal, bins=n_bins)\n", + " \n", + " # Number of non-empty bins\n", + " m = np.sum(counts > 0)\n", + " \n", + " # Raw entropy\n", + " H_raw = compute_entropy_from_counts(counts, base)\n", + " \n", + " # Miller-Madow correction\n", + " if base == np.e:\n", + " correction = (m - 1) / (2 * n_samples)\n", + " else:\n", + " correction = (m - 1) / (2 * n_samples * np.log(base))\n", + " \n", + " return H_raw + correction" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0da5876a", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 8: Bias correction demonstration\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# For uniform distribution on [0, 1] with n_bins uniform bins,\n", + "# true entropy = log2(n_bins)\n", + "n_bins_sim = 20\n", + "true_entropy = np.log2(n_bins_sim)\n", + "\n", + "sample_sizes = [50, 100, 200, 500, 1000, 2000, 5000]\n", + "n_trials = 100\n", + "\n", + "raw_means, raw_stds = [], []\n", + "corrected_means, corrected_stds = [], []\n", + "\n", + "for n in sample_sizes:\n", + " raw_estimates = []\n", + " corrected_estimates = []\n", + " \n", + " for _ in range(n_trials):\n", + " data = np.random.uniform(0, 1, n)\n", + " H_raw, _ = compute_entropy_continuous(data, n_bins=n_bins_sim)\n", + " H_corrected = compute_entropy_miller_madow(data, n_bins_sim)\n", + " raw_estimates.append(H_raw)\n", + " corrected_estimates.append(H_corrected)\n", + " \n", + " raw_means.append(np.mean(raw_estimates))\n", + " raw_stds.append(np.std(raw_estimates))\n", + " corrected_means.append(np.mean(corrected_estimates))\n", + " corrected_stds.append(np.std(corrected_estimates))\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Plot raw estimates\n", + "ax.errorbar(sample_sizes, raw_means, yerr=raw_stds, \n", + " color=COLORS[\"signal_1\"], linewidth=2, marker=\"o\", markersize=8,\n", + " capsize=5, label=\"Raw estimate (biased)\")\n", + "\n", + "# Plot corrected estimates\n", + "ax.errorbar(sample_sizes, corrected_means, yerr=corrected_stds,\n", + " color=COLORS[\"signal_2\"], linewidth=2, marker=\"s\", markersize=8,\n", + " capsize=5, label=\"Miller-Madow corrected\")\n", + "\n", + "# True value\n", + "ax.axhline(true_entropy, color=COLORS[\"grid\"], linestyle=\"--\", linewidth=2, \n", + " label=f\"True entropy = {true_entropy:.3f} bits\")\n", + "\n", + "ax.set_xscale(\"log\")\n", + "ax.set_xlabel(\"Number of Samples\", fontsize=12)\n", + "ax.set_ylabel(\"Estimated Entropy (bits)\", fontsize=12)\n", + "ax.set_title(\"Entropy Estimation Bias and Correction\", fontsize=14, fontweight=\"bold\")\n", + "ax.legend(loc=\"lower right\", fontsize=11)\n", + "ax.grid(True, alpha=0.3)\n", + "ax.set_ylim(true_entropy - 1, true_entropy + 0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\n📊 True entropy for uniform distribution with {n_bins_sim} bins: {true_entropy:.4f} bits\")\n", + "print(f\" With 100 samples: raw = {raw_means[1]:.4f}, corrected = {corrected_means[1]:.4f}\")\n", + "print(f\" With 5000 samples: raw = {raw_means[-1]:.4f}, corrected = {corrected_means[-1]:.4f}\")\n", + "print(\"\\n✓ The correction helps, especially with fewer samples!\")" + ] + }, + { + "cell_type": "markdown", + "id": "70adcc94", + "metadata": {}, + "source": [ + "---\n", + "\n", + "Excellent work so far! Let's continue to the second part of the notebook.\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "df6503ca", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 9: Entropy of different signal types\n", + "\n", + "np.random.seed(42)\n", + "fs = 256 # Sampling rate (Hz)\n", + "duration = 4 # seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Generate different signal types\n", + "signals = {}\n", + "\n", + "# 1. Pure sine wave (very predictable)\n", + "signals[\"Pure Sine (10 Hz)\"] = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# 2. Sine with noise (somewhat predictable)\n", + "signals[\"Sine + Noise\"] = np.sin(2 * np.pi * 10 * t) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# 3. Mixed frequencies (more complex)\n", + "signals[\"Mixed Frequencies\"] = (np.sin(2 * np.pi * 8 * t) + \n", + " 0.7 * np.sin(2 * np.pi * 12 * t) + \n", + " 0.5 * np.sin(2 * np.pi * 20 * t))\n", + "\n", + "# 4. White noise (maximally unpredictable)\n", + "signals[\"White Noise\"] = np.random.randn(n_samples)\n", + "\n", + "# 5. Simulated alpha rhythm (realistic EEG-like)\n", + "alpha = np.sin(2 * np.pi * 10 * t) * (1 + 0.3 * np.sin(2 * np.pi * 0.5 * t))\n", + "signals[\"Alpha-like\"] = alpha + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Compute entropy for each\n", + "n_bins_neural = optimal_n_bins(n_samples, \"sturges\")\n", + "colors_signals = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"], \n", + " COLORS[\"signal_4\"], COLORS[\"signal_5\"]]\n", + "\n", + "fig, axes = plt.subplots(len(signals), 2, figsize=(14, 12))\n", + "\n", + "for idx, (name, signal) in enumerate(signals.items()):\n", + " # Normalize signal\n", + " signal_norm = (signal - np.mean(signal)) / np.std(signal)\n", + " \n", + " # Compute entropy\n", + " H, actual_bins = compute_entropy_continuous(signal_norm, n_bins=n_bins_neural)\n", + " H_max = compute_max_entropy(actual_bins)\n", + " H_norm = H / H_max\n", + " \n", + " # Left: Time series\n", + " axes[idx, 0].plot(t[:256], signal_norm[:256], color=colors_signals[idx], linewidth=1)\n", + " axes[idx, 0].set_ylabel(name, fontsize=10, fontweight=\"bold\")\n", + " axes[idx, 0].set_xlim(0, 1)\n", + " if idx == len(signals) - 1:\n", + " axes[idx, 0].set_xlabel(\"Time (s)\", fontsize=11)\n", + " if idx == 0:\n", + " axes[idx, 0].set_title(\"Signal (1 second)\", fontsize=12, fontweight=\"bold\")\n", + " \n", + " # Right: Distribution\n", + " axes[idx, 1].hist(signal_norm, bins=n_bins_neural, color=colors_signals[idx], \n", + " edgecolor=\"white\", alpha=0.8, density=True)\n", + " axes[idx, 1].set_title(f\"H = {H:.2f} bits (normalized: {H_norm:.2f})\", fontsize=11)\n", + " if idx == len(signals) - 1:\n", + " axes[idx, 1].set_xlabel(\"Amplitude\", fontsize=11)\n", + " if idx == 0:\n", + " axes[idx, 1].set_title(f\"Distribution — H = {H:.2f} bits (norm: {H_norm:.2f})\", \n", + " fontsize=12, fontweight=\"bold\")\n", + "\n", + "plt.suptitle(\"Entropy of Different Signal Types\", fontsize=14, fontweight=\"bold\", y=1.01)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Key observations:\")\n", + "print(\" • Pure sine has LOWER entropy (predictable, concentrated distribution)\")\n", + "print(\" • White noise has HIGHER entropy (unpredictable, uniform-like distribution)\")\n", + "print(\" • Real neural signals fall in between!\")" + ] + }, + { + "cell_type": "markdown", + "id": "b2d5fa54", + "metadata": {}, + "source": [ + "## 11. Spectral Entropy\n", + "\n", + "**Spectral entropy** applies the entropy concept to the **frequency domain**. Instead of measuring uncertainty in amplitude values, it measures uncertainty in the distribution of power across frequencies.\n", + "\n", + "### Definition\n", + "\n", + "Given a power spectral density (PSD) normalized to sum to 1 (making it a probability distribution):\n", + "\n", + "$$H_{spectral} = -\\sum_{f} P(f) \\log_2 P(f)$$\n", + "\n", + "Where $P(f)$ is the normalized power at frequency $f$.\n", + "\n", + "### Interpretation\n", + "\n", + "- **High spectral entropy**: Power spread across many frequencies → \"broadband\" signal\n", + "- **Low spectral entropy**: Power concentrated at few frequencies → \"narrowband\" signal (e.g., strong oscillation)\n", + "\n", + "### Normalized Spectral Entropy\n", + "\n", + "$$H_{spectral,norm} = \\frac{H_{spectral}}{\\log_2(N_{freq})}$$\n", + "\n", + "Range: 0 (single frequency) to 1 (flat spectrum/white noise)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e79b3341", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_spectral_entropy(\n", + " signal: NDArray[np.float64],\n", + " fs: float,\n", + " nperseg: int = 256,\n", + " freq_range: Optional[Tuple[float, float]] = None,\n", + " normalize: bool = True\n", + ") -> Tuple[float, NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute spectral entropy of a signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.float64]\n", + " Time series signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " nperseg : int, optional\n", + " Length of each segment for Welch's method. Default is 256.\n", + " freq_range : Tuple[float, float], optional\n", + " Frequency range (fmin, fmax) to consider. Default is None (all frequencies).\n", + " normalize : bool, optional\n", + " Whether to normalize by maximum entropy. Default is True.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[float, NDArray, NDArray]\n", + " (spectral_entropy, frequencies, psd)\n", + " \"\"\"\n", + " # Compute PSD using Welch's method\n", + " freqs, psd = welch(signal, fs=fs, nperseg=min(nperseg, len(signal)))\n", + " \n", + " # Apply frequency range if specified\n", + " if freq_range is not None:\n", + " mask = (freqs >= freq_range[0]) & (freqs <= freq_range[1])\n", + " freqs = freqs[mask]\n", + " psd = psd[mask]\n", + " \n", + " # Normalize PSD to make it a probability distribution\n", + " psd_norm = psd / np.sum(psd)\n", + " \n", + " # Remove zeros\n", + " psd_valid = psd_norm[psd_norm > 0]\n", + " \n", + " # Compute entropy\n", + " H_spectral = -np.sum(psd_valid * np.log2(psd_valid))\n", + " \n", + " # Normalize if requested\n", + " if normalize:\n", + " H_max = np.log2(len(psd_valid))\n", + " if H_max > 0:\n", + " H_spectral = H_spectral / H_max\n", + " \n", + " return float(H_spectral), freqs, psd" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4a76edab", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 10: Spectral entropy comparison\n", + "\n", + "np.random.seed(42)\n", + "fs = 256\n", + "duration = 10\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Create signals with different spectral characteristics\n", + "spectral_signals = {}\n", + "\n", + "# 1. Pure 10 Hz sine (narrowband)\n", + "spectral_signals[\"Pure 10 Hz\"] = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# 2. Alpha band oscillation (8-12 Hz)\n", + "alpha_signal = (np.sin(2 * np.pi * 8 * t) + \n", + " np.sin(2 * np.pi * 10 * t) + \n", + " np.sin(2 * np.pi * 12 * t)) / 3\n", + "spectral_signals[\"Alpha Band\\n(8-12 Hz)\"] = alpha_signal\n", + "\n", + "# 3. Multiple bands\n", + "multi_band = (np.sin(2 * np.pi * 10 * t) + # alpha\n", + " 0.7 * np.sin(2 * np.pi * 20 * t) + # beta\n", + " 0.5 * np.sin(2 * np.pi * 6 * t)) # theta\n", + "spectral_signals[\"Multi-band\"] = multi_band\n", + "\n", + "# 4. White noise (flat spectrum)\n", + "spectral_signals[\"White Noise\"] = np.random.randn(n_samples)\n", + "\n", + "# 5. Pink noise (1/f spectrum)\n", + "# Generate 1/f noise using FFT\n", + "fft_freqs = np.fft.rfftfreq(n_samples, 1/fs)\n", + "fft_freqs[0] = 1 # Avoid division by zero\n", + "pink_spectrum = 1 / np.sqrt(fft_freqs)\n", + "pink_phase = np.random.uniform(0, 2*np.pi, len(fft_freqs))\n", + "pink_fft = pink_spectrum * np.exp(1j * pink_phase)\n", + "pink_noise = np.fft.irfft(pink_fft, n_samples)\n", + "spectral_signals[\"Pink Noise (1/f)\"] = pink_noise\n", + "\n", + "# Compute and plot\n", + "fig, axes = plt.subplots(len(spectral_signals), 2, figsize=(14, 14))\n", + "colors_spec = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"], \n", + " COLORS[\"signal_4\"], COLORS[\"signal_5\"]]\n", + "\n", + "for idx, (name, signal) in enumerate(spectral_signals.items()):\n", + " H_spec, freqs, psd = compute_spectral_entropy(signal, fs, freq_range=(1, 50))\n", + " \n", + " # Left: PSD\n", + " axes[idx, 0].semilogy(freqs, psd, color=colors_spec[idx], linewidth=2)\n", + " axes[idx, 0].set_ylabel(name, fontsize=10, fontweight=\"bold\")\n", + " axes[idx, 0].set_xlim(0, 50)\n", + " axes[idx, 0].grid(True, alpha=0.3)\n", + " if idx == len(spectral_signals) - 1:\n", + " axes[idx, 0].set_xlabel(\"Frequency (Hz)\", fontsize=11)\n", + " if idx == 0:\n", + " axes[idx, 0].set_title(\"Power Spectral Density\", fontsize=12, fontweight=\"bold\")\n", + " \n", + " # Right: Normalized PSD (probability distribution)\n", + " psd_norm = psd / np.sum(psd)\n", + " axes[idx, 1].fill_between(freqs, psd_norm, alpha=0.5, color=colors_spec[idx])\n", + " axes[idx, 1].plot(freqs, psd_norm, color=colors_spec[idx], linewidth=2)\n", + " axes[idx, 1].set_xlim(0, 50)\n", + " axes[idx, 1].set_title(f\"H_spectral = {H_spec:.3f}\", fontsize=11)\n", + " if idx == len(spectral_signals) - 1:\n", + " axes[idx, 1].set_xlabel(\"Frequency (Hz)\", fontsize=11)\n", + " if idx == 0:\n", + " axes[idx, 1].set_title(f\"Normalized PSD — H = {H_spec:.3f}\", fontsize=12, fontweight=\"bold\")\n", + "\n", + "plt.suptitle(\"Spectral Entropy: How Spread is Power Across Frequencies?\", \n", + " fontsize=14, fontweight=\"bold\", y=1.01)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Spectral Entropy Interpretation:\")\n", + "print(\" • Pure tone (1 freq): LOW spectral entropy\")\n", + "print(\" • White noise (all freqs equally): HIGH spectral entropy\")\n", + "print(\" • Neural signals: Between extremes, depends on oscillatory content\")" + ] + }, + { + "cell_type": "markdown", + "id": "2554a4da", + "metadata": {}, + "source": [ + "## 12. Sample Entropy\n", + "\n", + "**Sample entropy** is a measure of signal **complexity** that doesn't require binning. It measures how \"self-similar\" a signal is by comparing patterns at different time points.\n", + "\n", + "### Concept\n", + "\n", + "Sample entropy asks: *If two segments of the signal are similar now, how likely are they to remain similar if we extend them by one sample?*\n", + "\n", + "- **Low sample entropy**: Signal has repeating patterns → predictable\n", + "- **High sample entropy**: Signal patterns don't repeat → unpredictable\n", + "\n", + "### Parameters\n", + "\n", + "- **m** (embedding dimension): Length of patterns to compare (typically 2)\n", + "- **r** (tolerance): How close patterns must be to be \"similar\" (typically 0.2 × std)\n", + "\n", + "### Advantages Over Binning-Based Entropy\n", + "\n", + "1. No binning required → no bias from bin choice\n", + "2. Captures temporal structure (pattern matching)\n", + "3. Robust to noise and signal length\n", + "4. Commonly used in physiological signal analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2c578099", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_sample_entropy(\n", + " signal: NDArray[np.float64],\n", + " m: int = 2,\n", + " r: Optional[float] = None\n", + ") -> float:\n", + " \"\"\"\n", + " Compute sample entropy of a time series.\n", + " \n", + " Parameters\n", + " ----------\n", + " signal : NDArray[np.float64]\n", + " Time series signal.\n", + " m : int, optional\n", + " Embedding dimension. Default is 2.\n", + " r : float, optional\n", + " Tolerance for pattern matching. Default is 0.2 * std(signal).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Sample entropy value.\n", + " \n", + " Notes\n", + " -----\n", + " Higher values indicate more complexity/irregularity.\n", + " Lower values indicate more self-similarity/regularity.\n", + " \"\"\"\n", + " N = len(signal)\n", + " \n", + " if r is None:\n", + " r = 0.2 * np.std(signal)\n", + " \n", + " def count_matches(template_length: int) -> int:\n", + " \"\"\"Count pairs of matching templates.\"\"\"\n", + " templates = np.array([\n", + " signal[i:i + template_length] \n", + " for i in range(N - template_length)\n", + " ])\n", + " \n", + " count = 0\n", + " n_templates = len(templates)\n", + " \n", + " for i in range(n_templates):\n", + " for j in range(i + 1, n_templates):\n", + " # Chebyshev distance (max absolute difference)\n", + " if np.max(np.abs(templates[i] - templates[j])) <= r:\n", + " count += 1\n", + " \n", + " return count\n", + " \n", + " # Count matches for m and m+1\n", + " A = count_matches(m + 1) # matches for length m+1\n", + " B = count_matches(m) # matches for length m\n", + " \n", + " # Sample entropy\n", + " if A == 0 or B == 0:\n", + " return np.inf # No matches found\n", + " \n", + " return -np.log(A / B)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f545b025", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 11: Sample entropy for different signals\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Create short signals for sample entropy (computation is O(n²))\n", + "n_samples_se = 500\n", + "t_se = np.arange(n_samples_se) / 256\n", + "\n", + "sample_entropy_signals = {}\n", + "\n", + "# 1. Regular sine wave\n", + "sample_entropy_signals[\"Regular Sine\"] = np.sin(2 * np.pi * 10 * t_se)\n", + "\n", + "# 2. Sine with amplitude modulation\n", + "sample_entropy_signals[\"AM Sine\"] = np.sin(2 * np.pi * 10 * t_se) * (1 + 0.5 * np.sin(2 * np.pi * 0.5 * t_se))\n", + "\n", + "# 3. Chaotic signal (logistic map)\n", + "x_logistic = np.zeros(n_samples_se)\n", + "x_logistic[0] = 0.1\n", + "r_param = 3.9 # Chaotic regime\n", + "for i in range(1, n_samples_se):\n", + " x_logistic[i] = r_param * x_logistic[i-1] * (1 - x_logistic[i-1])\n", + "sample_entropy_signals[\"Chaotic\\n(Logistic Map)\"] = x_logistic\n", + "\n", + "# 4. Random walk\n", + "random_walk = np.cumsum(np.random.randn(n_samples_se))\n", + "sample_entropy_signals[\"Random Walk\"] = random_walk\n", + "\n", + "# 5. White noise\n", + "sample_entropy_signals[\"White Noise\"] = np.random.randn(n_samples_se)\n", + "\n", + "# Compute sample entropy\n", + "fig, axes = plt.subplots(len(sample_entropy_signals), 1, figsize=(14, 12))\n", + "colors_se = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"], \n", + " COLORS[\"signal_4\"], COLORS[\"signal_5\"]]\n", + "\n", + "sample_entropies = []\n", + "\n", + "for idx, (name, signal) in enumerate(sample_entropy_signals.items()):\n", + " # Normalize\n", + " signal_norm = (signal - np.mean(signal)) / np.std(signal)\n", + " \n", + " # Compute sample entropy\n", + " se = compute_sample_entropy(signal_norm, m=2)\n", + " sample_entropies.append((name.replace(\"\\n\", \" \"), se))\n", + " \n", + " # Plot\n", + " axes[idx].plot(t_se, signal_norm, color=colors_se[idx], linewidth=1)\n", + " axes[idx].set_ylabel(name, fontsize=10, fontweight=\"bold\")\n", + " axes[idx].set_xlim(0, t_se[-1])\n", + " \n", + " # Add sample entropy annotation\n", + " axes[idx].text(0.98, 0.95, f\"SampEn = {se:.3f}\", transform=axes[idx].transAxes,\n", + " fontsize=11, fontweight=\"bold\", ha=\"right\", va=\"top\",\n", + " bbox=dict(boxstyle=\"round\", facecolor=\"white\", alpha=0.8))\n", + " \n", + " if idx == len(sample_entropy_signals) - 1:\n", + " axes[idx].set_xlabel(\"Time (s)\", fontsize=11)\n", + "\n", + "plt.suptitle(\"Sample Entropy: Measuring Pattern Regularity\", fontsize=14, fontweight=\"bold\", y=1.01)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Summary bar chart\n", + "print(\"\\n📊 Sample Entropy Summary:\")\n", + "print(\"-\" * 50)\n", + "for name, se in sample_entropies:\n", + " bar = \"█\" * int(se * 10) if se < 3 else \"█\" * 30 + \"...\"\n", + " print(f\" {name:<24}: {se:.3f} {bar}\")\n", + "\n", + "print(\"\\n✓ Regular signals have LOW sample entropy (patterns repeat)\")\n", + "print(\"✓ Complex/random signals have HIGH sample entropy (no repeating patterns)\")" + ] + }, + { + "cell_type": "markdown", + "id": "8ae77136", + "metadata": {}, + "source": [ + "## 13. Entropy in Hyperscanning Context\n", + "\n", + "In hyperscanning, we record brain signals from **multiple people** simultaneously. How does entropy help us understand inter-brain connectivity?\n", + "\n", + "### Individual Signal Entropy\n", + "\n", + "- Characterizes the **complexity** of each person's brain activity\n", + "- Can reveal different cognitive states or engagement levels\n", + "- Baseline measure before computing connectivity\n", + "\n", + "### Entropy and Connectivity (Preview)\n", + "\n", + "The real power of entropy for connectivity comes in the next notebooks:\n", + "\n", + "1. **Mutual Information (D02)**: How much entropy is *shared* between two signals?\n", + " - High MI = knowing one signal reduces uncertainty about the other\n", + " \n", + "2. **Transfer Entropy (D03)**: How much does the past of one signal reduce entropy of another?\n", + " - Reveals *directional* information flow between brains\n", + "\n", + "### Entropy as a Preprocessing Tool\n", + "\n", + "- Identify noisy channels (unexpectedly high entropy)\n", + "- Detect artifacts (abrupt entropy changes)\n", + "- Characterize signal quality before connectivity analysis" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "597d1f2a", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 12: Entropy in a simulated hyperscanning scenario\n", + "\n", + "np.random.seed(42)\n", + "fs = 256\n", + "duration = 10\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Simulate two subjects with different engagement levels\n", + "# Subject 1: Engaged (more structured alpha oscillation)\n", + "alpha_1 = 2 * np.sin(2 * np.pi * 10 * t) * (1 + 0.3 * np.sin(2 * np.pi * 0.2 * t))\n", + "noise_1 = 0.3 * np.random.randn(n_samples)\n", + "subject_1 = alpha_1 + noise_1\n", + "\n", + "# Subject 2: Less engaged (weaker oscillation, more noise)\n", + "alpha_2 = 0.8 * np.sin(2 * np.pi * 10 * t + np.pi/4)\n", + "noise_2 = 0.8 * np.random.randn(n_samples)\n", + "subject_2 = alpha_2 + noise_2\n", + "\n", + "# Normalize\n", + "subject_1 = (subject_1 - np.mean(subject_1)) / np.std(subject_1)\n", + "subject_2 = (subject_2 - np.mean(subject_2)) / np.std(subject_2)\n", + "\n", + "# Compute entropies\n", + "n_bins = optimal_n_bins(n_samples)\n", + "H1, _ = compute_entropy_continuous(subject_1, n_bins=n_bins)\n", + "H2, _ = compute_entropy_continuous(subject_2, n_bins=n_bins)\n", + "H_max = compute_max_entropy(n_bins)\n", + "\n", + "H1_spec, _, psd1 = compute_spectral_entropy(subject_1, fs)\n", + "H2_spec, freqs, psd2 = compute_spectral_entropy(subject_2, fs)\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 8))\n", + "\n", + "# Row 1: Subject 1\n", + "axes[0, 0].plot(t[:512], subject_1[:512], color=COLORS[\"signal_1\"], linewidth=1)\n", + "axes[0, 0].set_title(\"Subject 1: Engaged\\n(Strong Alpha)\", fontsize=11, fontweight=\"bold\")\n", + "axes[0, 0].set_ylabel(\"Amplitude\", fontsize=10)\n", + "axes[0, 0].set_xlabel(\"Time (s)\", fontsize=10)\n", + "axes[0, 0].set_xlim(0, 2)\n", + "\n", + "axes[0, 1].hist(subject_1, bins=n_bins, color=COLORS[\"signal_1\"], edgecolor=\"white\", alpha=0.8, density=True)\n", + "axes[0, 1].set_title(f\"Distribution\\nH = {H1:.2f} bits ({H1/H_max:.2f} norm)\", fontsize=11, fontweight=\"bold\")\n", + "axes[0, 1].set_xlabel(\"Amplitude\", fontsize=10)\n", + "\n", + "psd1_norm = psd1 / np.sum(psd1)\n", + "axes[0, 2].fill_between(freqs, psd1_norm, alpha=0.5, color=COLORS[\"signal_1\"])\n", + "axes[0, 2].plot(freqs, psd1_norm, color=COLORS[\"signal_1\"], linewidth=2)\n", + "axes[0, 2].set_title(f\"Spectrum\\nH_spec = {H1_spec:.3f}\", fontsize=11, fontweight=\"bold\")\n", + "axes[0, 2].set_xlabel(\"Frequency (Hz)\", fontsize=10)\n", + "axes[0, 2].set_xlim(0, 40)\n", + "\n", + "# Row 2: Subject 2\n", + "axes[1, 0].plot(t[:512], subject_2[:512], color=COLORS[\"signal_2\"], linewidth=1)\n", + "axes[1, 0].set_title(\"Subject 2: Less Engaged\\n(Weak Alpha, More Noise)\", fontsize=11, fontweight=\"bold\")\n", + "axes[1, 0].set_ylabel(\"Amplitude\", fontsize=10)\n", + "axes[1, 0].set_xlabel(\"Time (s)\", fontsize=10)\n", + "axes[1, 0].set_xlim(0, 2)\n", + "\n", + "axes[1, 1].hist(subject_2, bins=n_bins, color=COLORS[\"signal_2\"], edgecolor=\"white\", alpha=0.8, density=True)\n", + "axes[1, 1].set_title(f\"Distribution\\nH = {H2:.2f} bits ({H2/H_max:.2f} norm)\", fontsize=11, fontweight=\"bold\")\n", + "axes[1, 1].set_xlabel(\"Amplitude\", fontsize=10)\n", + "\n", + "psd2_norm = psd2 / np.sum(psd2)\n", + "axes[1, 2].fill_between(freqs, psd2_norm, alpha=0.5, color=COLORS[\"signal_2\"])\n", + "axes[1, 2].plot(freqs, psd2_norm, color=COLORS[\"signal_2\"], linewidth=2)\n", + "axes[1, 2].set_title(f\"Spectrum\\nH_spec = {H2_spec:.3f}\", fontsize=11, fontweight=\"bold\")\n", + "axes[1, 2].set_xlabel(\"Frequency (Hz)\", fontsize=10)\n", + "axes[1, 2].set_xlim(0, 40)\n", + "\n", + "plt.suptitle(\"Hyperscanning: Characterizing Individual Signal Properties with Entropy\", \n", + " fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Entropy Comparison:\")\n", + "print(f\" Subject 1 (engaged): H_amplitude = {H1:.3f}, H_spectral = {H1_spec:.3f}\")\n", + "print(f\" Subject 2 (less engaged): H_amplitude = {H2:.3f}, H_spectral = {H2_spec:.3f}\")\n", + "print(\"\\n💡 The less engaged subject shows:\")\n", + "print(\" • Higher amplitude entropy (more random)\")\n", + "print(\" • Higher spectral entropy (power spread across frequencies)\")\n", + "print(\"\\n→ Next step: Quantify SHARED information between subjects (Mutual Information, D02)\")" + ] + }, + { + "cell_type": "markdown", + "id": "a1bf8175", + "metadata": {}, + "source": [ + "## 14. Exercises\n", + "\n", + "Test your understanding with these exercises!\n", + "\n", + "### Exercise 1: Entropy Calculation\n", + "Given a probability distribution [0.25, 0.25, 0.25, 0.25], calculate:\n", + "1. The Shannon entropy in bits\n", + "2. Is this maximum entropy for 4 states?\n", + "3. What distribution would give minimum entropy?\n", + "\n", + "### Exercise 2: Binning Impact\n", + "Generate a uniform random signal of 1000 samples. Compute entropy with 10, 50, and 100 bins.\n", + "- How does entropy change with bin count?\n", + "- What is the normalized entropy in each case?\n", + "\n", + "### Exercise 3: Spectral Entropy\n", + "Create two signals: (a) pure 10 Hz sine, (b) sum of 5, 10, 15, 20 Hz sines.\n", + "- Which has higher spectral entropy?\n", + "- What does this tell you about the signals?\n", + "\n", + "### Exercise 4: Entropy and Neural States\n", + "Think about how entropy might differ between:\n", + "- Eyes open vs. eyes closed (alpha rhythm)\n", + "- Rest vs. cognitive task\n", + "- Awake vs. sleep stages\n", + "\n", + "What entropy patterns would you predict?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4d803bea", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise solutions (try yourself first!)\n", + "\n", + "# Exercise 1\n", + "print(\"=\" * 60)\n", + "print(\"EXERCISE 1: Entropy Calculation\")\n", + "print(\"=\" * 60)\n", + "uniform_4 = np.array([0.25, 0.25, 0.25, 0.25])\n", + "H_uniform = compute_entropy_discrete(uniform_4)\n", + "H_max_4 = compute_max_entropy(4)\n", + "print(f\"1. H = {H_uniform:.4f} bits\")\n", + "print(f\"2. H_max for 4 states = log₂(4) = {H_max_4:.4f} bits\")\n", + "print(f\" → Yes! Uniform distribution achieves maximum entropy.\")\n", + "print(f\"3. Minimum entropy: [1, 0, 0, 0] → H = 0 (deterministic)\")\n", + "\n", + "# Exercise 2\n", + "print(\"\\n\" + \"=\" * 60)\n", + "print(\"EXERCISE 2: Binning Impact\")\n", + "print(\"=\" * 60)\n", + "np.random.seed(42)\n", + "uniform_signal = np.random.uniform(0, 1, 1000)\n", + "for n_bins in [10, 50, 100]:\n", + " H, _ = compute_entropy_continuous(uniform_signal, n_bins=n_bins)\n", + " H_max = compute_max_entropy(n_bins)\n", + " print(f\" {n_bins:3d} bins: H = {H:.3f} bits, H_max = {H_max:.3f}, normalized = {H/H_max:.4f}\")\n", + "print(\" → Entropy increases with bins, but normalized entropy stays ~constant (~1.0)\")\n", + "\n", + "# Exercise 3\n", + "print(\"\\n\" + \"=\" * 60)\n", + "print(\"EXERCISE 3: Spectral Entropy\")\n", + "print(\"=\" * 60)\n", + "t_ex = np.arange(0, 5, 1/256)\n", + "pure_sine = np.sin(2 * np.pi * 10 * t_ex)\n", + "multi_sine = (np.sin(2 * np.pi * 5 * t_ex) + np.sin(2 * np.pi * 10 * t_ex) + \n", + " np.sin(2 * np.pi * 15 * t_ex) + np.sin(2 * np.pi * 20 * t_ex))\n", + "H_pure, _, _ = compute_spectral_entropy(pure_sine, 256)\n", + "H_multi, _, _ = compute_spectral_entropy(multi_sine, 256)\n", + "print(f\" Pure 10 Hz sine: H_spectral = {H_pure:.4f}\")\n", + "print(f\" Multi-frequency: H_spectral = {H_multi:.4f}\")\n", + "print(\" → Multi-frequency has HIGHER spectral entropy (power spread)\")\n", + "\n", + "# Exercise 4\n", + "print(\"\\n\" + \"=\" * 60)\n", + "print(\"EXERCISE 4: Entropy and Neural States (Discussion)\")\n", + "print(\"=\" * 60)\n", + "print(\" Expected patterns:\")\n", + "print(\" • Eyes closed: LOWER spectral entropy (strong alpha)\")\n", + "print(\" • Eyes open: HIGHER spectral entropy (alpha suppression)\")\n", + "print(\" • Cognitive task: Variable (depends on task demands)\")\n", + "print(\" • Deep sleep: LOWER entropy (slow, synchronized waves)\")\n", + "print(\" • REM sleep: HIGHER entropy (desynchronized, dream-like)\")\n", + "print(\" • Awake: Intermediate entropy\")" + ] + }, + { + "cell_type": "markdown", + "id": "7f562996", + "metadata": {}, + "source": [ + "## 15. Summary\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Definition | Key Property |\n", + "|---------|------------|--------------|\n", + "| **Information** | Reduction of uncertainty | Measured in bits |\n", + "| **Entropy** | Average uncertainty of a random variable | $H = -\\sum p \\log p$ |\n", + "| **Maximum Entropy** | When all outcomes equally likely | $H_{max} = \\log(n)$ |\n", + "| **Binary Entropy** | Entropy for yes/no questions | Max at p = 0.5 |\n", + "\n", + "### Entropy Variants for Signals\n", + "\n", + "| Type | Domain | Measures |\n", + "|------|--------|----------|\n", + "| **Amplitude Entropy** | Time/Value | Uncertainty in signal values |\n", + "| **Spectral Entropy** | Frequency | How spread is power across frequencies |\n", + "| **Sample Entropy** | Time patterns | Regularity/complexity of patterns |\n", + "\n", + "### Practical Considerations\n", + "\n", + "1. **Binning choice** affects discrete entropy estimation\n", + "2. **Bias correction** (Miller-Madow) helps with small samples\n", + "3. **Normalization** allows comparison across different state spaces\n", + "4. **Sample entropy** avoids binning issues\n", + "\n", + "### Connection to Connectivity\n", + "\n", + "Entropy is the foundation for:\n", + "- **Mutual Information** (D02): Shared entropy between signals\n", + "- **Transfer Entropy** (D03): Directed information flow\n", + "\n", + "### Functions Defined\n", + "\n", + "```python\n", + "compute_entropy_discrete(probabilities, base) # Discrete entropy\n", + "compute_entropy_from_counts(counts, base) # From observations\n", + "compute_max_entropy(n_states, base) # Maximum possible\n", + "compute_normalized_entropy(probabilities, base) # Range 0-1\n", + "binary_entropy(p) # H(p) for binary\n", + "optimal_n_bins(n_samples, method) # Bin selection\n", + "compute_entropy_continuous(signal, n_bins, method) # For continuous signals\n", + "compute_entropy_miller_madow(signal, n_bins) # Bias-corrected\n", + "compute_spectral_entropy(signal, fs, ...) # Frequency domain\n", + "compute_sample_entropy(signal, m, r) # Pattern-based\n", + "```" + ] + }, + { + "cell_type": "markdown", + "id": "3f7b06e5", + "metadata": {}, + "source": [ + "## 16. Discussion Questions\n", + "\n", + "1. **Why is entropy measured in bits?**\n", + " - What's the connection to binary encoding?\n", + " - How does this relate to computer science?\n", + "\n", + "2. **Entropy and brain states**\n", + " - Would you expect higher or lower entropy during focused attention vs. mind wandering?\n", + " - How might anesthesia affect brain signal entropy?\n", + "\n", + "3. **Limitations of entropy**\n", + " - What information does entropy NOT capture about a signal?\n", + " - Why might two very different signals have the same entropy?\n", + "\n", + "4. **Choosing entropy measures**\n", + " - When would you prefer amplitude entropy vs. spectral entropy vs. sample entropy?\n", + " - What are the trade-offs of each approach?\n", + "\n", + "5. **Preview: From entropy to connectivity**\n", + " - How might we use entropy to measure \"shared information\" between two brains?\n", + " - What would it mean if two signals have high mutual entropy?\n", + "\n", + "---\n", + "\n", + "## Next Steps\n", + "\n", + "In the next notebook (**D02: Mutual Information**), we'll learn:\n", + "- How to quantify **shared information** between signals\n", + "- The relationship $I(X;Y) = H(X) + H(Y) - H(X,Y)$\n", + "- How mutual information reveals **statistical dependencies**\n", + "- Application to inter-brain connectivity in hyperscanning\n", + "\n", + "---\n", + "\n", + "*Notebook completed! Entropy is the foundation of information theory — now you're ready to explore connectivity measures based on shared information.*" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/D_information_theory/D02_mutual_information.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/D_information_theory/D02_mutual_information.ipynb new file mode 100644 index 0000000..48e8cf0 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/D_information_theory/D02_mutual_information.ipynb @@ -0,0 +1,2193 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "3a2e8502", + "metadata": {}, + "source": [ + "## 1. Introduction — Beyond Correlation\n", + "\n", + "In previous modules, we explored connectivity measures like phase-based metrics (PLV, PLI) and amplitude correlations. These capture **linear** or **periodic** relationships between signals.\n", + "\n", + "But neural relationships can be **nonlinear**!\n", + "\n", + "### A Motivating Example\n", + "\n", + "Consider two signals X and Y where Y increases when |X| is large, regardless of whether X is positive or negative:\n", + "\n", + "- **Correlation = 0** (no linear relationship — high positive and negative X values both relate to high Y)\n", + "- **But there IS a relationship!** Y clearly depends on X\n", + "\n", + "### Enter Mutual Information\n", + "\n", + "**Mutual Information (MI)** captures **any** statistical dependency between two variables:\n", + "\n", + "> *\"How much does knowing X tell us about Y?\"*\n", + "\n", + "MI is:\n", + "- **General**: Detects linear AND nonlinear relationships\n", + "- **Symmetric**: MI(X, Y) = MI(Y, X)\n", + "- **Non-negative**: MI ≥ 0, with MI = 0 only when X and Y are independent\n", + "\n", + "The trade-off: MI is more powerful but computationally harder to estimate than correlation.\n", + "\n", + "> 💡 **Key insight**: MI detects relationships that correlation misses." + ] + }, + { + "cell_type": "markdown", + "id": "68dadb52", + "metadata": {}, + "source": [ + "## 2. Intuition — Shared Information\n", + "\n", + "Before the math, let's build intuition.\n", + "\n", + "### Thought Experiment: Two Weather Stations\n", + "\n", + "- **Station A** records temperature in Paris\n", + "- **Station B** records temperature in Lyon\n", + "\n", + "If you know Paris is 25°C, you can make a better guess about Lyon's temperature than without any information. The cities share weather patterns!\n", + "\n", + "**Mutual information** quantifies this shared uncertainty:\n", + "- If X and Y are **independent**: knowing X tells nothing about Y → **MI = 0**\n", + "- If X **determines** Y completely: knowing X removes ALL uncertainty about Y → **MI = H(Y)** (maximum)\n", + "\n", + "### Key Properties\n", + "\n", + "- MI is **symmetric**: MI(X, Y) = MI(Y, X)\n", + "- MI measures \"how much information is common to both variables\"\n", + "- MI = 0 ↔ statistical independence" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9a7466c3", + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.patches import Circle, Wedge\n", + "from matplotlib.collections import PatchCollection\n", + "import matplotlib.patches as mpatches\n", + "from numpy.typing import NDArray\n", + "from typing import Tuple, Optional, Dict, List\n", + "from scipy import stats\n", + "import sys\n", + "sys.path.append(\"../../..\")\n", + "\n", + "from src.colors import COLORS\n", + "from src.plotting import configure_plots\n", + "from src.information import (\n", + " compute_entropy_discrete,\n", + " compute_entropy_continuous,\n", + " compute_entropy_from_counts,\n", + " optimal_n_bins\n", + ")\n", + "\n", + "configure_plots()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7411dcb0", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 1: Different relationships — correlation vs MI\n", + "\n", + "np.random.seed(42)\n", + "n_samples = 500\n", + "\n", + "# Generate different relationships\n", + "x_base = np.random.randn(n_samples)\n", + "\n", + "# 1. Independent\n", + "y_independent = np.random.randn(n_samples)\n", + "\n", + "# 2. Linear relationship\n", + "y_linear = 0.8 * x_base + 0.6 * np.random.randn(n_samples)\n", + "\n", + "# 3. Nonlinear (quadratic) — correlation ≈ 0 but dependent!\n", + "y_quadratic = x_base**2 + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Compute correlations\n", + "corr_indep = np.corrcoef(x_base, y_independent)[0, 1]\n", + "corr_linear = np.corrcoef(x_base, y_linear)[0, 1]\n", + "corr_quad = np.corrcoef(x_base, y_quadratic)[0, 1]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "# Plot 1: Independent\n", + "axes[0].scatter(x_base, y_independent, alpha=0.5, s=20, color=COLORS[\"signal_1\"])\n", + "axes[0].set_xlabel(\"X\", fontsize=12)\n", + "axes[0].set_ylabel(\"Y\", fontsize=12)\n", + "axes[0].set_title(f\"Independent\\nCorr = {corr_indep:.3f}\", fontsize=12, fontweight=\"bold\")\n", + "axes[0].text(0.05, 0.95, \"MI ≈ 0\", transform=axes[0].transAxes, fontsize=11,\n", + " fontweight=\"bold\", va=\"top\", bbox=dict(boxstyle=\"round\", facecolor=\"white\", alpha=0.8))\n", + "\n", + "# Plot 2: Linear\n", + "axes[1].scatter(x_base, y_linear, alpha=0.5, s=20, color=COLORS[\"signal_2\"])\n", + "axes[1].set_xlabel(\"X\", fontsize=12)\n", + "axes[1].set_ylabel(\"Y\", fontsize=12)\n", + "axes[1].set_title(f\"Linear Relationship\\nCorr = {corr_linear:.3f}\", fontsize=12, fontweight=\"bold\")\n", + "axes[1].text(0.05, 0.95, \"MI > 0\", transform=axes[1].transAxes, fontsize=11,\n", + " fontweight=\"bold\", va=\"top\", bbox=dict(boxstyle=\"round\", facecolor=\"white\", alpha=0.8))\n", + "\n", + "# Plot 3: Quadratic (nonlinear)\n", + "axes[2].scatter(x_base, y_quadratic, alpha=0.5, s=20, color=COLORS[\"signal_3\"])\n", + "axes[2].set_xlabel(\"X\", fontsize=12)\n", + "axes[2].set_ylabel(\"Y\", fontsize=12)\n", + "axes[2].set_title(f\"Quadratic (Nonlinear)\\nCorr = {corr_quad:.3f}\", fontsize=12, fontweight=\"bold\")\n", + "axes[2].text(0.05, 0.95, \"MI > 0 !\", transform=axes[2].transAxes, fontsize=11,\n", + " fontweight=\"bold\", va=\"top\", color=\"red\",\n", + " bbox=dict(boxstyle=\"round\", facecolor=\"white\", alpha=0.8))\n", + "\n", + "plt.suptitle(\"MI Captures Relationships That Correlation Misses\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Key observation:\")\n", + "print(f\" • Quadratic relationship: Correlation = {corr_quad:.3f} (nearly zero!)\")\n", + "print(\" • But Y clearly depends on X — MI will detect this!\")" + ] + }, + { + "cell_type": "markdown", + "id": "61cb9259", + "metadata": {}, + "source": [ + "## 3. The Entropy Venn Diagram\n", + "\n", + "The relationship between entropy and mutual information is beautifully captured by a **Venn diagram**.\n", + "\n", + "### The Diagram\n", + "\n", + "Imagine two overlapping circles:\n", + "- **Circle X**: Total entropy H(X)\n", + "- **Circle Y**: Total entropy H(Y)\n", + "- **Overlap**: Mutual Information I(X; Y)\n", + "- **X only** (left crescent): H(X|Y) — uncertainty about X given Y\n", + "- **Y only** (right crescent): H(Y|X) — uncertainty about Y given X\n", + "- **Union** (both circles): H(X, Y) — joint entropy\n", + "\n", + "### Key Relationships\n", + "\n", + "$$I(X; Y) = H(X) + H(Y) - H(X, Y)$$\n", + "\n", + "$$I(X; Y) = H(X) - H(X|Y) = H(Y) - H(Y|X)$$\n", + "\n", + "MI = \"what's shared\" = \"uncertainty reduced by knowing the other variable\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ef5da1cf", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 2: Entropy Venn Diagram\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "\n", + "# Circle parameters\n", + "r = 1.5\n", + "offset = 0.9\n", + "\n", + "# Draw circles\n", + "circle_x = plt.Circle((-offset, 0), r, fill=False, color=COLORS[\"signal_1\"], linewidth=3)\n", + "circle_y = plt.Circle((offset, 0), r, fill=False, color=COLORS[\"signal_2\"], linewidth=3)\n", + "\n", + "# Fill regions with alpha\n", + "circle_x_fill = plt.Circle((-offset, 0), r, alpha=0.3, color=COLORS[\"signal_1\"])\n", + "circle_y_fill = plt.Circle((offset, 0), r, alpha=0.3, color=COLORS[\"signal_2\"])\n", + "\n", + "ax.add_patch(circle_x_fill)\n", + "ax.add_patch(circle_y_fill)\n", + "ax.add_patch(circle_x)\n", + "ax.add_patch(circle_y)\n", + "\n", + "# Labels\n", + "ax.text(-offset - 0.9, 0, \"H(X|Y)\", fontsize=14, fontweight=\"bold\", ha=\"center\", va=\"center\")\n", + "ax.text(offset + 0.9, 0, \"H(Y|X)\", fontsize=14, fontweight=\"bold\", ha=\"center\", va=\"center\")\n", + "ax.text(0, 0, \"I(X;Y)\", fontsize=16, fontweight=\"bold\", ha=\"center\", va=\"center\",\n", + " bbox=dict(boxstyle=\"round\", facecolor=\"white\", alpha=0.9))\n", + "\n", + "# Circle labels\n", + "ax.text(-offset, r + 0.3, \"H(X)\", fontsize=14, fontweight=\"bold\", ha=\"center\", color=COLORS[\"signal_1\"])\n", + "ax.text(offset, r + 0.3, \"H(Y)\", fontsize=14, fontweight=\"bold\", ha=\"center\", color=COLORS[\"signal_2\"])\n", + "\n", + "# Joint entropy brace/label\n", + "ax.annotate(\"\", xy=(-offset - r, -r - 0.5), xytext=(offset + r, -r - 0.5),\n", + " arrowprops=dict(arrowstyle=\"<->\", color=\"black\", lw=2))\n", + "ax.text(0, -r - 0.8, \"H(X, Y) = Joint Entropy\", fontsize=12, fontweight=\"bold\", ha=\"center\")\n", + "\n", + "ax.set_xlim(-3.5, 3.5)\n", + "ax.set_ylim(-3, 3)\n", + "ax.set_aspect(\"equal\")\n", + "ax.axis(\"off\")\n", + "ax.set_title(\"The Information Venn Diagram\", fontsize=16, fontweight=\"bold\", pad=20)\n", + "\n", + "# Add formulas\n", + "formulas = [\n", + " r\"$I(X;Y) = H(X) + H(Y) - H(X,Y)$\",\n", + " r\"$I(X;Y) = H(X) - H(X|Y)$\",\n", + " r\"$I(X;Y) = H(Y) - H(Y|X)$\"\n", + "]\n", + "for i, formula in enumerate(formulas):\n", + " ax.text(3.2, 1.5 - i * 0.6, formula, fontsize=11, ha=\"left\", va=\"center\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n💡 The overlap (I(X;Y)) represents SHARED information.\")\n", + "print(\" More overlap = more mutual information = stronger dependency.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2b0d291d", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 3: Three cases of dependency\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "cases = [\n", + " (\"Independent\\nI(X;Y) = 0\", 2.5, 0), # No overlap\n", + " (\"Partially Dependent\\nI(X;Y) moderate\", 1.0, 0.5), # Some overlap\n", + " (\"Fully Dependent\\nI(X;Y) = H(Y)\", 0, 0.8) # One inside other\n", + "]\n", + "\n", + "for ax, (title, offset, scale_y) in zip(axes, cases):\n", + " r_x = 1.2\n", + " r_y = 1.2 * (1 - scale_y * 0.5) if scale_y > 0 else 1.2\n", + " \n", + " circle_x = plt.Circle((-offset/2, 0), r_x, alpha=0.4, color=COLORS[\"signal_1\"])\n", + " circle_y = plt.Circle((offset/2, 0), r_y, alpha=0.4, color=COLORS[\"signal_2\"])\n", + " circle_x_line = plt.Circle((-offset/2, 0), r_x, fill=False, color=COLORS[\"signal_1\"], linewidth=2)\n", + " circle_y_line = plt.Circle((offset/2, 0), r_y, fill=False, color=COLORS[\"signal_2\"], linewidth=2)\n", + " \n", + " ax.add_patch(circle_x)\n", + " ax.add_patch(circle_y)\n", + " ax.add_patch(circle_x_line)\n", + " ax.add_patch(circle_y_line)\n", + " \n", + " ax.set_xlim(-3, 3)\n", + " ax.set_ylim(-2, 2)\n", + " ax.set_aspect(\"equal\")\n", + " ax.axis(\"off\")\n", + " ax.set_title(title, fontsize=12, fontweight=\"bold\")\n", + " \n", + " # Labels\n", + " ax.text(-offset/2, -1.7, \"X\", fontsize=12, ha=\"center\", fontweight=\"bold\", color=COLORS[\"signal_1\"])\n", + " ax.text(offset/2 if offset > 0 else 0, -1.7 if offset > 0 else -1.0, \"Y\", \n", + " fontsize=12, ha=\"center\", fontweight=\"bold\", color=COLORS[\"signal_2\"])\n", + "\n", + "plt.suptitle(\"How MI Reflects Dependency\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4cc3f752", + "metadata": {}, + "source": [ + "## 4. Joint Entropy\n", + "\n", + "**Joint entropy** H(X, Y) measures the uncertainty about the **pair** (X, Y) together.\n", + "\n", + "### Definition\n", + "\n", + "For discrete variables:\n", + "\n", + "$$H(X, Y) = -\\sum_{x}\\sum_{y} p(x, y) \\log p(x, y)$$\n", + "\n", + "Where $p(x, y)$ is the **joint probability distribution**.\n", + "\n", + "### Properties\n", + "\n", + "- **Subadditivity**: $H(X, Y) \\leq H(X) + H(Y)$\n", + "- Equality when X and Y are **independent**\n", + "- **Lower bound**: $H(X, Y) \\geq \\max(H(X), H(Y))$\n", + "\n", + "### For Continuous Signals\n", + "\n", + "We need **2D binning**:\n", + "1. Create a 2D histogram of (x, y) pairs\n", + "2. Normalize to get joint probability\n", + "3. Compute entropy of this 2D distribution" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "aaf961ed", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_joint_histogram(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " n_bins: int = 20\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute 2D histogram for joint distribution.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal.\n", + " y : NDArray[np.float64]\n", + " Second signal.\n", + " n_bins : int, optional\n", + " Number of bins per dimension. Default is 20.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray, NDArray, NDArray]\n", + " (histogram_2d, x_edges, y_edges)\n", + " \"\"\"\n", + " hist_2d, x_edges, y_edges = np.histogram2d(x, y, bins=n_bins)\n", + " return hist_2d, x_edges, y_edges\n", + "\n", + "\n", + "def compute_joint_entropy(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " n_bins: int = 20,\n", + " base: float = 2.0\n", + ") -> float:\n", + " \"\"\"\n", + " Compute joint entropy H(X, Y) via 2D binning.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal.\n", + " y : NDArray[np.float64]\n", + " Second signal.\n", + " n_bins : int, optional\n", + " Number of bins per dimension. Default is 20.\n", + " base : float, optional\n", + " Logarithm base. Default is 2 (bits).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Joint entropy H(X, Y).\n", + " \"\"\"\n", + " # Compute 2D histogram\n", + " hist_2d, _, _ = compute_joint_histogram(x, y, n_bins)\n", + " \n", + " # Normalize to get joint probability\n", + " joint_prob = hist_2d / np.sum(hist_2d)\n", + " \n", + " # Flatten and remove zeros\n", + " p = joint_prob.flatten()\n", + " p = p[p > 0]\n", + " \n", + " # Compute entropy\n", + " if base == np.e:\n", + " entropy = -np.sum(p * np.log(p))\n", + " else:\n", + " entropy = -np.sum(p * np.log(p) / np.log(base))\n", + " \n", + " return float(entropy)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "867a788b", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: Joint distribution heatmap with marginals\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Generate correlated Gaussian signals\n", + "n_samples = 2000\n", + "correlation = 0.7\n", + "x = np.random.randn(n_samples)\n", + "y = correlation * x + np.sqrt(1 - correlation**2) * np.random.randn(n_samples)\n", + "\n", + "n_bins = 30\n", + "\n", + "# Create figure with marginals\n", + "fig = plt.figure(figsize=(10, 10))\n", + "gs = fig.add_gridspec(3, 3, width_ratios=[0.2, 1, 0.05], height_ratios=[0.2, 1, 0.05],\n", + " hspace=0.05, wspace=0.05)\n", + "\n", + "# Main 2D histogram\n", + "ax_main = fig.add_subplot(gs[1, 1])\n", + "hist_2d, x_edges, y_edges, im = ax_main.hist2d(x, y, bins=n_bins, cmap=\"viridis\")\n", + "ax_main.set_xlabel(\"X\", fontsize=12)\n", + "ax_main.set_ylabel(\"Y\", fontsize=12)\n", + "\n", + "# Colorbar\n", + "ax_cbar = fig.add_subplot(gs[1, 2])\n", + "plt.colorbar(im, cax=ax_cbar, label=\"Count\")\n", + "\n", + "# Top marginal (X)\n", + "ax_top = fig.add_subplot(gs[0, 1], sharex=ax_main)\n", + "ax_top.hist(x, bins=n_bins, color=COLORS[\"signal_1\"], edgecolor=\"white\", alpha=0.8)\n", + "ax_top.set_ylabel(\"Count\")\n", + "ax_top.tick_params(labelbottom=False)\n", + "ax_top.set_title(\"Marginal X\", fontsize=11)\n", + "\n", + "# Left marginal (Y)\n", + "ax_left = fig.add_subplot(gs[1, 0], sharey=ax_main)\n", + "ax_left.hist(y, bins=n_bins, orientation=\"horizontal\", color=COLORS[\"signal_2\"], \n", + " edgecolor=\"white\", alpha=0.8)\n", + "ax_left.set_xlabel(\"Count\")\n", + "ax_left.tick_params(labelleft=False)\n", + "ax_left.invert_xaxis()\n", + "ax_left.set_title(\"Marginal Y\", fontsize=11, rotation=90, x=-0.3, y=0.5)\n", + "\n", + "# Compute entropies\n", + "H_x, _ = compute_entropy_continuous(x, n_bins=n_bins)\n", + "H_y, _ = compute_entropy_continuous(y, n_bins=n_bins)\n", + "H_xy = compute_joint_entropy(x, y, n_bins=n_bins)\n", + "\n", + "plt.suptitle(f\"Joint Distribution (r = {correlation})\\n\" +\n", + " f\"H(X) = {H_x:.2f}, H(Y) = {H_y:.2f}, H(X,Y) = {H_xy:.2f} bits\",\n", + " fontsize=14, fontweight=\"bold\", y=1.02)\n", + "\n", + "plt.show()\n", + "\n", + "print(f\"\\n📊 Entropy Analysis:\")\n", + "print(f\" H(X) = {H_x:.3f} bits\")\n", + "print(f\" H(Y) = {H_y:.3f} bits\")\n", + "print(f\" H(X) + H(Y) = {H_x + H_y:.3f} bits\")\n", + "print(f\" H(X, Y) = {H_xy:.3f} bits\")\n", + "print(f\" → H(X,Y) < H(X) + H(Y) because X and Y are dependent!\")" + ] + }, + { + "cell_type": "markdown", + "id": "af6864dd", + "metadata": {}, + "source": [ + "## 5. Conditional Entropy\n", + "\n", + "**Conditional entropy** H(X|Y) measures the remaining uncertainty about X **after** we observe Y.\n", + "\n", + "### Definition\n", + "\n", + "$$H(X|Y) = H(X, Y) - H(Y)$$\n", + "\n", + "Or equivalently:\n", + "\n", + "$$H(X|Y) = -\\sum_{x,y} p(x, y) \\log p(x|y)$$\n", + "\n", + "### Interpretation\n", + "\n", + "- **H(X|Y) = 0**: Y completely determines X (no remaining uncertainty)\n", + "- **H(X|Y) = H(X)**: Y tells us nothing about X (X and Y independent)\n", + "- In between: Y partially reduces uncertainty about X\n", + "\n", + "### Connection to MI\n", + "\n", + "$$I(X; Y) = H(X) - H(X|Y)$$\n", + "\n", + "MI = initial uncertainty minus remaining uncertainty = **uncertainty reduced by knowing Y**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "98f0e531", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_conditional_entropy(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " n_bins: int = 20,\n", + " base: float = 2.0\n", + ") -> float:\n", + " \"\"\"\n", + " Compute conditional entropy H(X|Y).\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal (the one we're uncertain about).\n", + " y : NDArray[np.float64]\n", + " Second signal (the one we condition on).\n", + " n_bins : int, optional\n", + " Number of bins per dimension. Default is 20.\n", + " base : float, optional\n", + " Logarithm base. Default is 2 (bits).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Conditional entropy H(X|Y) = H(X,Y) - H(Y).\n", + " \"\"\"\n", + " H_xy = compute_joint_entropy(x, y, n_bins, base)\n", + " H_y, _ = compute_entropy_continuous(y, n_bins=n_bins)\n", + " \n", + " # Convert H_y to same base if needed\n", + " if base != 2.0:\n", + " H_y = H_y * np.log(2) / np.log(base)\n", + " \n", + " return H_xy - H_y" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "54fef928", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: Entropy decomposition\n", + "\n", + "# Use same signals from before\n", + "H_x_given_y = compute_conditional_entropy(x, y, n_bins=n_bins)\n", + "H_y_given_x = compute_conditional_entropy(y, x, n_bins=n_bins)\n", + "MI = H_x - H_x_given_y # I(X;Y) = H(X) - H(X|Y)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", + "\n", + "# Left: H(X) decomposition\n", + "ax = axes[0]\n", + "bar_width = 0.5\n", + "ax.bar([0], [H_x_given_y], bar_width, label=f\"H(X|Y) = {H_x_given_y:.2f}\", color=COLORS[\"signal_1\"], alpha=0.7)\n", + "ax.bar([0], [MI], bar_width, bottom=[H_x_given_y], label=f\"I(X;Y) = {MI:.2f}\", color=COLORS[\"signal_3\"], alpha=0.7)\n", + "ax.axhline(H_x, color=\"black\", linestyle=\"--\", linewidth=2)\n", + "ax.text(0.6, H_x, f\"H(X) = {H_x:.2f}\", fontsize=11, va=\"center\")\n", + "ax.set_xlim(-0.5, 1.5)\n", + "ax.set_ylim(0, H_x * 1.2)\n", + "ax.set_xticks([0])\n", + "ax.set_xticklabels([\"Entropy of X\"])\n", + "ax.set_ylabel(\"Entropy (bits)\", fontsize=12)\n", + "ax.set_title(\"H(X) = H(X|Y) + I(X;Y)\", fontsize=12, fontweight=\"bold\")\n", + "ax.legend(loc=\"upper right\")\n", + "\n", + "# Right: H(Y) decomposition\n", + "ax = axes[1]\n", + "ax.bar([0], [H_y_given_x], bar_width, label=f\"H(Y|X) = {H_y_given_x:.2f}\", color=COLORS[\"signal_2\"], alpha=0.7)\n", + "ax.bar([0], [MI], bar_width, bottom=[H_y_given_x], label=f\"I(X;Y) = {MI:.2f}\", color=COLORS[\"signal_3\"], alpha=0.7)\n", + "ax.axhline(H_y, color=\"black\", linestyle=\"--\", linewidth=2)\n", + "ax.text(0.6, H_y, f\"H(Y) = {H_y:.2f}\", fontsize=11, va=\"center\")\n", + "ax.set_xlim(-0.5, 1.5)\n", + "ax.set_ylim(0, H_y * 1.2)\n", + "ax.set_xticks([0])\n", + "ax.set_xticklabels([\"Entropy of Y\"])\n", + "ax.set_ylabel(\"Entropy (bits)\", fontsize=12)\n", + "ax.set_title(\"H(Y) = H(Y|X) + I(X;Y)\", fontsize=12, fontweight=\"bold\")\n", + "ax.legend(loc=\"upper right\")\n", + "\n", + "plt.suptitle(\"Entropy Decomposition: MI is the Shared Part\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\n📊 The same I(X;Y) = {MI:.3f} bits appears in BOTH decompositions!\")\n", + "print(\" This is the 'shared information' — the overlap in the Venn diagram.\")" + ] + }, + { + "cell_type": "markdown", + "id": "725f03fa", + "metadata": {}, + "source": [ + "## 6. Mutual Information — The Formula\n", + "\n", + "Now we can formally define mutual information.\n", + "\n", + "### Definition 1: Via Joint and Marginal Distributions\n", + "\n", + "$$I(X; Y) = \\sum_{x,y} p(x,y) \\log \\frac{p(x,y)}{p(x)p(y)}$$\n", + "\n", + "This measures how much the joint distribution differs from the product of marginals (what we'd expect if independent).\n", + "\n", + "### Definition 2: Via Entropies\n", + "\n", + "$$I(X; Y) = H(X) + H(Y) - H(X, Y)$$\n", + "\n", + "### Definition 3: Via Conditional Entropy\n", + "\n", + "$$I(X; Y) = H(X) - H(X|Y) = H(Y) - H(Y|X)$$\n", + "\n", + "All three are equivalent!\n", + "\n", + "### Properties\n", + "\n", + "- **Non-negative**: $I(X; Y) \\geq 0$ always\n", + "- **Zero iff independent**: $I(X; Y) = 0 \\Leftrightarrow$ X and Y are statistically independent\n", + "- **Symmetric**: $I(X; Y) = I(Y; X)$\n", + "- **Self-information**: $I(X; X) = H(X)$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a038c949", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_mutual_information(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " n_bins: int = 20,\n", + " base: float = 2.0\n", + ") -> float:\n", + " \"\"\"\n", + " Compute mutual information I(X; Y).\n", + " \n", + " Uses the formula: I(X;Y) = H(X) + H(Y) - H(X,Y)\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal.\n", + " y : NDArray[np.float64]\n", + " Second signal.\n", + " n_bins : int, optional\n", + " Number of bins per dimension. Default is 20.\n", + " base : float, optional\n", + " Logarithm base. Default is 2 (bits).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Mutual information I(X; Y).\n", + " \"\"\"\n", + " # Compute individual entropies\n", + " H_x, _ = compute_entropy_continuous(x, n_bins=n_bins)\n", + " H_y, _ = compute_entropy_continuous(y, n_bins=n_bins)\n", + " \n", + " # Convert to specified base if needed\n", + " if base != 2.0:\n", + " H_x = H_x * np.log(2) / np.log(base)\n", + " H_y = H_y * np.log(2) / np.log(base)\n", + " \n", + " # Compute joint entropy\n", + " H_xy = compute_joint_entropy(x, y, n_bins, base)\n", + " \n", + " # MI = H(X) + H(Y) - H(X,Y)\n", + " mi = H_x + H_y - H_xy\n", + " \n", + " # Ensure non-negative (can be slightly negative due to estimation)\n", + " return max(0.0, float(mi))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec644817", + "metadata": {}, + "outputs": [], + "source": [ + "# Verify our MI calculation with different formulas\n", + "\n", + "MI_formula1 = H_x + H_y - H_xy # Definition 2\n", + "MI_formula2 = H_x - H_x_given_y # Definition 3a\n", + "MI_formula3 = H_y - H_y_given_x # Definition 3b\n", + "MI_function = compute_mutual_information(x, y, n_bins=n_bins)\n", + "\n", + "print(\"📊 Verification: All formulas give the same MI\")\n", + "print(\"=\" * 50)\n", + "print(f\" H(X) + H(Y) - H(X,Y) = {MI_formula1:.4f} bits\")\n", + "print(f\" H(X) - H(X|Y) = {MI_formula2:.4f} bits\")\n", + "print(f\" H(Y) - H(Y|X) = {MI_formula3:.4f} bits\")\n", + "print(f\" compute_mutual_information() = {MI_function:.4f} bits\")\n", + "print(\"=\" * 50)\n", + "print(\"\\n✓ All formulas are equivalent!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae987b6c", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6: MI vs correlation strength\n", + "\n", + "np.random.seed(42)\n", + "n_samples = 1000\n", + "correlations = np.linspace(0, 0.99, 20)\n", + "mi_values = []\n", + "\n", + "for corr in correlations:\n", + " x_temp = np.random.randn(n_samples)\n", + " y_temp = corr * x_temp + np.sqrt(1 - corr**2) * np.random.randn(n_samples)\n", + " mi = compute_mutual_information(x_temp, y_temp, n_bins=20)\n", + " mi_values.append(mi)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "ax.plot(correlations, mi_values, color=COLORS[\"signal_1\"], linewidth=2.5, marker=\"o\", markersize=6)\n", + "ax.set_xlabel(\"Correlation (r)\", fontsize=12)\n", + "ax.set_ylabel(\"Mutual Information (bits)\", fontsize=12)\n", + "ax.set_title(\"MI Increases with Statistical Dependency\", fontsize=14, fontweight=\"bold\")\n", + "ax.grid(True, alpha=0.3)\n", + "ax.set_xlim(0, 1)\n", + "ax.set_ylim(0, max(mi_values) * 1.1)\n", + "\n", + "# Add annotation\n", + "ax.annotate(\"Independent\\n(r=0, MI≈0)\", xy=(0.05, mi_values[1]), xytext=(0.2, 0.3),\n", + " fontsize=10, arrowprops=dict(arrowstyle=\"->\", color=\"black\"))\n", + "ax.annotate(\"Strong dependency\\n(high r, high MI)\", xy=(0.9, mi_values[-2]), xytext=(0.6, mi_values[-2] * 0.7),\n", + " fontsize=10, arrowprops=dict(arrowstyle=\"->\", color=\"black\"))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n💡 For Gaussian variables, MI and correlation are related:\")\n", + "print(\" I(X;Y) = -0.5 × log₂(1 - r²) for jointly Gaussian X, Y\")" + ] + }, + { + "cell_type": "markdown", + "id": "4936f3e9", + "metadata": {}, + "source": [ + "---\n", + "\n", + "Excellent! We've covered the foundations. Let's continue to the key advantage of MI.\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cc0b828d", + "metadata": {}, + "outputs": [], + "source": [ + "def generate_nonlinear_relationship(\n", + " n_samples: int,\n", + " relationship: str = \"quadratic\",\n", + " noise_level: float = 0.2,\n", + " seed: Optional[int] = None\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Generate X, Y with specified nonlinear relationship.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples to generate.\n", + " relationship : str, optional\n", + " Type of relationship: \"linear\", \"quadratic\", \"sinusoidal\", \n", + " \"absolute\", \"circular\". Default is \"quadratic\".\n", + " noise_level : float, optional\n", + " Standard deviation of additive noise. Default is 0.2.\n", + " seed : int, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray, NDArray]\n", + " (x, y) signal pair.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " x = np.random.uniform(-2, 2, n_samples)\n", + " noise = noise_level * np.random.randn(n_samples)\n", + " \n", + " if relationship == \"linear\":\n", + " y = 0.8 * x + noise\n", + " elif relationship == \"quadratic\":\n", + " y = x**2 + noise\n", + " elif relationship == \"sinusoidal\":\n", + " y = np.sin(2 * np.pi * x / 2) + noise\n", + " elif relationship == \"absolute\":\n", + " y = np.abs(x) + noise\n", + " elif relationship == \"circular\":\n", + " # XOR-like pattern\n", + " y = np.sign(x) * np.random.choice([-1, 1], n_samples) + noise\n", + " else:\n", + " raise ValueError(f\"Unknown relationship: {relationship}\")\n", + " \n", + " return x, y" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "472b7e55", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 7: MI vs Correlation — The Key Comparison\n", + "\n", + "relationships = [\"linear\", \"quadratic\", \"sinusoidal\"]\n", + "n_samples = 1000\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 10))\n", + "\n", + "results = []\n", + "\n", + "for idx, rel in enumerate(relationships):\n", + " x, y = generate_nonlinear_relationship(n_samples, rel, noise_level=0.3, seed=42)\n", + " \n", + " # Compute metrics\n", + " corr = np.corrcoef(x, y)[0, 1]\n", + " mi = compute_mutual_information(x, y, n_bins=20)\n", + " results.append((rel, corr, mi))\n", + " \n", + " # Top row: scatter plots\n", + " colors_rel = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"]]\n", + " axes[0, idx].scatter(x, y, alpha=0.4, s=15, color=colors_rel[idx])\n", + " axes[0, idx].set_xlabel(\"X\", fontsize=11)\n", + " axes[0, idx].set_ylabel(\"Y\", fontsize=11)\n", + " axes[0, idx].set_title(f\"{rel.capitalize()}\\nCorr = {corr:.3f}, MI = {mi:.3f}\", \n", + " fontsize=12, fontweight=\"bold\")\n", + " axes[0, idx].grid(True, alpha=0.3)\n", + "\n", + "# Bottom row: bar chart comparison\n", + "x_pos = np.arange(len(relationships))\n", + "width = 0.35\n", + "\n", + "corrs = [r[1] for r in results]\n", + "mis = [r[2] for r in results]\n", + "\n", + "axes[1, 0].bar(x_pos - width/2, np.abs(corrs), width, label=\"|Correlation|\", color=COLORS[\"signal_4\"], alpha=0.8)\n", + "axes[1, 0].bar(x_pos + width/2, mis, width, label=\"MI (bits)\", color=COLORS[\"signal_5\"], alpha=0.8)\n", + "axes[1, 0].set_xticks(x_pos)\n", + "axes[1, 0].set_xticklabels([r[0].capitalize() for r in results])\n", + "axes[1, 0].set_ylabel(\"Value\", fontsize=11)\n", + "axes[1, 0].set_title(\"Comparison: |Correlation| vs MI\", fontsize=12, fontweight=\"bold\")\n", + "axes[1, 0].legend()\n", + "axes[1, 0].grid(True, alpha=0.3, axis=\"y\")\n", + "\n", + "# Highlight the key insight\n", + "axes[1, 1].text(0.5, 0.7, \"KEY INSIGHT\", fontsize=18, fontweight=\"bold\", ha=\"center\", va=\"center\",\n", + " transform=axes[1, 1].transAxes)\n", + "axes[1, 1].text(0.5, 0.5, \"Quadratic & Sinusoidal:\\nCorrelation ≈ 0\\nbut MI > 0!\", \n", + " fontsize=14, ha=\"center\", va=\"center\", transform=axes[1, 1].transAxes,\n", + " bbox=dict(boxstyle=\"round\", facecolor=COLORS[\"signal_3\"], alpha=0.3))\n", + "axes[1, 1].text(0.5, 0.2, \"MI detects these\\nnonlinear relationships!\", \n", + " fontsize=12, ha=\"center\", va=\"center\", transform=axes[1, 1].transAxes,\n", + " style=\"italic\")\n", + "axes[1, 1].axis(\"off\")\n", + "\n", + "# Summary table\n", + "axes[1, 2].axis(\"off\")\n", + "table_data = [[\"Relationship\", \"|Corr|\", \"MI\"]]\n", + "for rel, corr, mi in results:\n", + " table_data.append([rel.capitalize(), f\"{abs(corr):.3f}\", f\"{mi:.3f}\"])\n", + "\n", + "table = axes[1, 2].table(cellText=table_data, loc=\"center\", cellLoc=\"center\",\n", + " colWidths=[0.4, 0.3, 0.3])\n", + "table.auto_set_font_size(False)\n", + "table.set_fontsize(11)\n", + "table.scale(1.2, 1.8)\n", + "\n", + "# Style header row\n", + "for i in range(3):\n", + " table[(0, i)].set_facecolor(COLORS[\"signal_1\"])\n", + " table[(0, i)].set_text_props(color=\"white\", fontweight=\"bold\")\n", + "\n", + "plt.suptitle(\"MI Captures Nonlinear Relationships That Correlation Misses\", \n", + " fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Key observation:\")\n", + "print(\" • Linear: Both correlation and MI detect the relationship\")\n", + "print(\" • Quadratic: Correlation ≈ 0, but MI clearly shows dependency!\")\n", + "print(\" • Sinusoidal: Same story — MI wins for nonlinear relationships\")" + ] + }, + { + "cell_type": "markdown", + "id": "450feb97", + "metadata": {}, + "source": [ + "## 8. Normalized Mutual Information\n", + "\n", + "Raw MI depends on the entropy of the variables — hard to compare across different signals.\n", + "\n", + "### Normalization Options\n", + "\n", + "| Name | Formula | Range |\n", + "|------|---------|-------|\n", + "| Geometric | $\\frac{I(X;Y)}{\\sqrt{H(X) \\cdot H(Y)}}$ | [0, 1] |\n", + "| Max | $\\frac{I(X;Y)}{\\max(H(X), H(Y))}$ | [0, 1] |\n", + "| Min | $\\frac{I(X;Y)}{\\min(H(X), H(Y))}$ | [0, 1] |\n", + "| Arithmetic | $\\frac{2 \\cdot I(X;Y)}{H(X) + H(Y)}$ | [0, 1] |\n", + "\n", + "**Normalized MI = 1** means perfect dependency (one determines the other).\n", + "\n", + "**Normalized MI = 0** means independence." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cfc84699", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_normalized_mi(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " n_bins: int = 20,\n", + " normalization: str = \"geometric\"\n", + ") -> float:\n", + " \"\"\"\n", + " Compute normalized mutual information (range 0-1).\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal.\n", + " y : NDArray[np.float64]\n", + " Second signal.\n", + " n_bins : int, optional\n", + " Number of bins per dimension. Default is 20.\n", + " normalization : str, optional\n", + " Normalization method: \"geometric\", \"max\", \"min\", \"arithmetic\".\n", + " Default is \"geometric\".\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Normalized MI in range [0, 1].\n", + " \"\"\"\n", + " mi = compute_mutual_information(x, y, n_bins)\n", + " H_x, _ = compute_entropy_continuous(x, n_bins=n_bins)\n", + " H_y, _ = compute_entropy_continuous(y, n_bins=n_bins)\n", + " \n", + " if normalization == \"geometric\":\n", + " denom = np.sqrt(H_x * H_y)\n", + " elif normalization == \"max\":\n", + " denom = max(H_x, H_y)\n", + " elif normalization == \"min\":\n", + " denom = min(H_x, H_y)\n", + " elif normalization == \"arithmetic\":\n", + " denom = (H_x + H_y) / 2\n", + " else:\n", + " raise ValueError(f\"Unknown normalization: {normalization}\")\n", + " \n", + " if denom == 0:\n", + " return 0.0\n", + " \n", + " return min(1.0, mi / denom) # Clip to [0, 1]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b3778a57", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 8: Raw MI vs Normalized MI\n", + "\n", + "np.random.seed(42)\n", + "n_samples = 1000\n", + "\n", + "# Create signals with different entropy levels but same dependency strength\n", + "# High entropy signals\n", + "x_high = np.random.randn(n_samples)\n", + "y_high = 0.7 * x_high + 0.71 * np.random.randn(n_samples)\n", + "\n", + "# Low entropy signals (more peaked distribution)\n", + "x_low = 0.3 * np.random.randn(n_samples)\n", + "y_low = 0.7 * x_low + 0.71 * 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Compute metrics\n", + "mi_high = compute_mutual_information(x_high, y_high, n_bins=20)\n", + "mi_low = compute_mutual_information(x_low, y_low, n_bins=20)\n", + "nmi_high = compute_normalized_mi(x_high, y_high, n_bins=20)\n", + "nmi_low = compute_normalized_mi(x_low, y_low, n_bins=20)\n", + "corr_high = np.corrcoef(x_high, y_high)[0, 1]\n", + "corr_low = np.corrcoef(x_low, y_low)[0, 1]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "# Scatter plots\n", + "axes[0].scatter(x_high, y_high, alpha=0.3, s=10, color=COLORS[\"signal_1\"], label=\"High entropy\")\n", + "axes[0].scatter(x_low, y_low, alpha=0.5, s=10, color=COLORS[\"signal_2\"], label=\"Low entropy\")\n", + "axes[0].set_xlabel(\"X\", fontsize=11)\n", + "axes[0].set_ylabel(\"Y\", fontsize=11)\n", + "axes[0].set_title(\"Same Correlation, Different Entropy\", fontsize=12, fontweight=\"bold\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Raw MI comparison\n", + "x_pos = [0, 1]\n", + "axes[1].bar(x_pos, [mi_high, mi_low], color=[COLORS[\"signal_1\"], COLORS[\"signal_2\"]], alpha=0.8)\n", + "axes[1].set_xticks(x_pos)\n", + "axes[1].set_xticklabels([\"High Entropy\", \"Low Entropy\"])\n", + "axes[1].set_ylabel(\"MI (bits)\", fontsize=11)\n", + "axes[1].set_title(f\"Raw MI: Different Values!\\nHigh={mi_high:.3f}, Low={mi_low:.3f}\", \n", + " fontsize=12, fontweight=\"bold\")\n", + "axes[1].grid(True, alpha=0.3, axis=\"y\")\n", + "\n", + "# Normalized MI comparison\n", + "axes[2].bar(x_pos, [nmi_high, nmi_low], color=[COLORS[\"signal_1\"], COLORS[\"signal_2\"]], alpha=0.8)\n", + "axes[2].set_xticks(x_pos)\n", + "axes[2].set_xticklabels([\"High Entropy\", \"Low Entropy\"])\n", + "axes[2].set_ylabel(\"Normalized MI\", fontsize=11)\n", + "axes[2].set_title(f\"Normalized MI: Similar!\\nHigh={nmi_high:.3f}, Low={nmi_low:.3f}\", \n", + " fontsize=12, fontweight=\"bold\")\n", + "axes[2].set_ylim(0, 1)\n", + "axes[2].grid(True, alpha=0.3, axis=\"y\")\n", + "\n", + "plt.suptitle(\"Why Normalize MI?\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\n📊 Both have similar correlation: {corr_high:.3f} vs {corr_low:.3f}\")\n", + "print(f\" Raw MI differs: {mi_high:.3f} vs {mi_low:.3f}\")\n", + "print(f\" Normalized MI is comparable: {nmi_high:.3f} vs {nmi_low:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "c8ccde63", + "metadata": {}, + "source": [ + "## 9. Estimation Challenges\n", + "\n", + "MI estimation from finite samples faces several challenges.\n", + "\n", + "### Challenge 1: Binning Choice\n", + "- **Too few bins**: Underestimate MI (lose resolution)\n", + "- **Too many bins**: Overestimate MI (sparse sampling bias)\n", + "- Optimal depends on sample size and relationship\n", + "\n", + "### Challenge 2: Positive Bias\n", + "- MI estimates are **biased upward**\n", + "- Even **independent** signals show positive MI due to finite sampling!\n", + "- More bins = more bias\n", + "\n", + "### Challenge 3: Computational Cost\n", + "- 2D histograms scale with bins²\n", + "- For n channels: n² pairs to compute\n", + "\n", + "### Solutions\n", + "- Adaptive binning rules\n", + "- **Surrogate-based bias correction**\n", + "- KNN-based estimators (more advanced)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "16ee2d9f", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 9: Bias demonstration\n", + "\n", + "np.random.seed(42)\n", + "n_samples = 500\n", + "\n", + "# Generate INDEPENDENT signals\n", + "x_indep = np.random.randn(n_samples)\n", + "y_indep = np.random.randn(n_samples)\n", + "\n", + "# Compute MI with different bin counts\n", + "bin_counts = [5, 10, 15, 20, 30, 50, 75, 100]\n", + "mi_values_bias = []\n", + "\n", + "for n_bins in bin_counts:\n", + " mi = compute_mutual_information(x_indep, y_indep, n_bins=n_bins)\n", + " mi_values_bias.append(mi)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: MI vs bins for independent signals\n", + "axes[0].plot(bin_counts, mi_values_bias, color=COLORS[\"signal_1\"], linewidth=2.5, marker=\"o\", markersize=8)\n", + "axes[0].axhline(0, color=COLORS[\"grid\"], linestyle=\"--\", linewidth=2, label=\"True MI = 0\")\n", + "axes[0].set_xlabel(\"Number of Bins\", fontsize=12)\n", + "axes[0].set_ylabel(\"Estimated MI (bits)\", fontsize=12)\n", + "axes[0].set_title(\"Bias: Independent Signals Show Positive MI!\", fontsize=12, fontweight=\"bold\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Add annotation\n", + "axes[0].annotate(\"More bins = more bias!\", xy=(75, mi_values_bias[-2]), \n", + " xytext=(50, mi_values_bias[-2] + 0.1),\n", + " fontsize=11, arrowprops=dict(arrowstyle=\"->\", color=\"black\"))\n", + "\n", + "# Right: scatter plot showing they ARE independent\n", + "axes[1].scatter(x_indep, y_indep, alpha=0.4, s=20, color=COLORS[\"signal_2\"])\n", + "axes[1].set_xlabel(\"X\", fontsize=12)\n", + "axes[1].set_ylabel(\"Y\", fontsize=12)\n", + "corr_indep = np.corrcoef(x_indep, y_indep)[0, 1]\n", + "axes[1].set_title(f\"These ARE Independent!\\nCorr = {corr_indep:.3f}\", fontsize=12, fontweight=\"bold\")\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.suptitle(\"The Positive Bias Problem in MI Estimation\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\\\n⚠️ WARNING: MI estimated from independent signals is NOT zero!\")\n", + "print(f\" With 20 bins: MI = {mi_values_bias[3]:.4f} bits\")\n", + "print(f\" With 100 bins: MI = {mi_values_bias[-1]:.4f} bits\")\n", + "print(\" This is BIAS from finite sampling — we need to correct for it!\")" + ] + }, + { + "cell_type": "markdown", + "id": "e3ba4a67", + "metadata": {}, + "source": [ + "## 10. Surrogate Testing for MI\n", + "\n", + "Just like in C03 (Statistical Significance), we use **surrogates** to:\n", + "1. Test if MI is significantly different from what we'd expect by chance\n", + "2. Estimate and correct for bias\n", + "\n", + "### Procedure\n", + "\n", + "1. Compute observed MI\n", + "2. Generate N surrogates by **shuffling** one signal (destroys dependency while preserving marginal distribution)\n", + "3. Compute MI for each surrogate\n", + "4. **P-value** = proportion of surrogates ≥ observed MI\n", + "5. **Bias correction**: MI_corrected = MI_observed - mean(MI_surrogates)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d8b76a61", + "metadata": {}, + "outputs": [], + "source": [ + "def mi_significance_test(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " n_bins: int = 20,\n", + " n_surrogates: int = 200,\n", + " seed: Optional[int] = None\n", + ") -> Dict[str, float]:\n", + " \"\"\"\n", + " Significance test for mutual information using surrogates.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal.\n", + " y : NDArray[np.float64]\n", + " Second signal.\n", + " n_bins : int, optional\n", + " Number of bins. Default is 20.\n", + " n_surrogates : int, optional\n", + " Number of surrogate samples. Default is 200.\n", + " seed : int, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " Dict[str, float]\n", + " Dictionary with:\n", + " - \"mi_observed\": Raw MI value\n", + " - \"mi_corrected\": Bias-corrected MI\n", + " - \"pvalue\": P-value from surrogate test\n", + " - \"null_mean\": Mean of null distribution\n", + " - \"null_std\": Std of null distribution\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " # Observed MI\n", + " mi_observed = compute_mutual_information(x, y, n_bins)\n", + " \n", + " # Generate surrogates\n", + " mi_surrogates = []\n", + " for _ in range(n_surrogates):\n", + " # Shuffle one signal to destroy dependency\n", + " y_shuffled = np.random.permutation(y)\n", + " mi_surr = compute_mutual_information(x, y_shuffled, n_bins)\n", + " mi_surrogates.append(mi_surr)\n", + " \n", + " mi_surrogates = np.array(mi_surrogates)\n", + " \n", + " # Statistics\n", + " null_mean = np.mean(mi_surrogates)\n", + " null_std = np.std(mi_surrogates)\n", + " \n", + " # P-value: proportion of surrogates >= observed\n", + " pvalue = np.mean(mi_surrogates >= mi_observed)\n", + " \n", + " # Bias-corrected MI\n", + " mi_corrected = mi_observed - null_mean\n", + " \n", + " return {\n", + " \"mi_observed\": float(mi_observed),\n", + " \"mi_corrected\": float(mi_corrected),\n", + " \"pvalue\": float(pvalue),\n", + " \"null_mean\": float(null_mean),\n", + " \"null_std\": float(null_std)\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "81870311", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 10: Surrogate testing demonstration\n", + "\n", + "np.random.seed(42)\n", + "n_samples = 500\n", + "\n", + "# Case 1: Correlated signals (should be significant)\n", + "x_corr = np.random.randn(n_samples)\n", + "y_corr = 0.6 * x_corr + 0.8 * np.random.randn(n_samples)\n", + "\n", + "# Case 2: Independent signals (should NOT be significant)\n", + "x_indep = np.random.randn(n_samples)\n", + "y_indep = np.random.randn(n_samples)\n", + "\n", + "# Run significance tests\n", + "result_corr = mi_significance_test(x_corr, y_corr, n_bins=20, n_surrogates=500, seed=42)\n", + "result_indep = mi_significance_test(x_indep, y_indep, n_bins=20, n_surrogates=500, seed=42)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Generate surrogate distributions for visualization\n", + "np.random.seed(42)\n", + "surr_corr = [compute_mutual_information(x_corr, np.random.permutation(y_corr), 20) for _ in range(500)]\n", + "surr_indep = [compute_mutual_information(x_indep, np.random.permutation(y_indep), 20) for _ in range(500)]\n", + "\n", + "# Left: Correlated signals\n", + "axes[0].hist(surr_corr, bins=30, color=COLORS[\"signal_1\"], alpha=0.7, density=True, label=\"Null distribution\")\n", + "axes[0].axvline(result_corr[\"mi_observed\"], color=\"red\", linewidth=3, linestyle=\"-\", \n", + " label=f\"Observed MI = {result_corr['mi_observed']:.3f}\")\n", + "axes[0].axvline(result_corr[\"null_mean\"], color=COLORS[\"grid\"], linewidth=2, linestyle=\"--\",\n", + " label=f\"Null mean = {result_corr['null_mean']:.3f}\")\n", + "axes[0].set_xlabel(\"MI (bits)\", fontsize=12)\n", + "axes[0].set_ylabel(\"Density\", fontsize=12)\n", + "axes[0].set_title(f\"Correlated Signals\\np = {result_corr['pvalue']:.4f} (SIGNIFICANT)\", \n", + " fontsize=12, fontweight=\"bold\", color=\"green\")\n", + "axes[0].legend(fontsize=9)\n", + "\n", + "# Right: Independent signals\n", + "axes[1].hist(surr_indep, bins=30, color=COLORS[\"signal_2\"], alpha=0.7, density=True, label=\"Null distribution\")\n", + "axes[1].axvline(result_indep[\"mi_observed\"], color=\"red\", linewidth=3, linestyle=\"-\",\n", + " label=f\"Observed MI = {result_indep['mi_observed']:.3f}\")\n", + "axes[1].axvline(result_indep[\"null_mean\"], color=COLORS[\"grid\"], linewidth=2, linestyle=\"--\",\n", + " label=f\"Null mean = {result_indep['null_mean']:.3f}\")\n", + "axes[1].set_xlabel(\"MI (bits)\", fontsize=12)\n", + "axes[1].set_ylabel(\"Density\", fontsize=12)\n", + "axes[1].set_title(f\"Independent Signals\\np = {result_indep['pvalue']:.3f} (not significant)\", \n", + " fontsize=12, fontweight=\"bold\", color=\"gray\")\n", + "axes[1].legend(fontsize=9)\n", + "\n", + "plt.suptitle(\"Surrogate Testing for MI Significance\", fontsize=14, fontweight=\"bold\", y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\\\n📊 Results Summary:\")\n", + "print(\"-\" * 60)\n", + "print(f\"Correlated signals:\")\n", + "print(f\" MI_observed = {result_corr['mi_observed']:.4f}, MI_corrected = {result_corr['mi_corrected']:.4f}\")\n", + "print(f\" p-value = {result_corr['pvalue']:.4f} → {'SIGNIFICANT' if result_corr['pvalue'] < 0.05 else 'not significant'}\")\n", + "print(f\"\\\\nIndependent signals:\")\n", + "print(f\" MI_observed = {result_indep['mi_observed']:.4f}, MI_corrected = {result_indep['mi_corrected']:.4f}\")\n", + "print(f\" p-value = {result_indep['pvalue']:.4f} → {'SIGNIFICANT' if result_indep['pvalue'] < 0.05 else 'not significant'}\")" + ] + }, + { + "cell_type": "markdown", + "id": "9a1eda87", + "metadata": {}, + "source": [ + "## 11. MI for Time Series — Dynamic Analysis\n", + "\n", + "Neural signals are **time series**, not static samples. We can compute MI in different ways:\n", + "\n", + "### Option 1: Global MI\n", + "Treat each time point as a sample. Simple, assumes stationarity.\n", + "\n", + "### Option 2: Sliding Window MI\n", + "Compute MI in short windows → get MI over time. Captures **dynamic changes** in coupling.\n", + "\n", + "### Option 3: Time-Lagged MI\n", + "MI between X(t) and Y(t + τ). Can reveal **delayed relationships**.\n", + "\n", + "This is a preview of **Transfer Entropy** (D03)!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56dbc5fa", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_mi_sliding_window(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " window_samples: int,\n", + " step_samples: int,\n", + " n_bins: int = 15\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute MI in sliding windows over time.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First time series.\n", + " y : NDArray[np.float64]\n", + " Second time series.\n", + " window_samples : int\n", + " Window size in samples.\n", + " step_samples : int\n", + " Step size in samples.\n", + " n_bins : int, optional\n", + " Number of bins for MI estimation. Default is 15.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray, NDArray]\n", + " (window_centers, mi_values)\n", + " \"\"\"\n", + " n_samples = len(x)\n", + " centers = []\n", + " mi_values = []\n", + " \n", + " for start in range(0, n_samples - window_samples + 1, step_samples):\n", + " end = start + window_samples\n", + " mi = compute_mutual_information(x[start:end], y[start:end], n_bins)\n", + " centers.append((start + end) / 2)\n", + " mi_values.append(mi)\n", + " \n", + " return np.array(centers), np.array(mi_values)\n", + "\n", + "\n", + "def compute_mi_lagged(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " max_lag_samples: int,\n", + " n_bins: int = 20\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute MI as function of time lag.\n", + " \n", + " MI(X(t), Y(t+lag)) for various lags.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First time series.\n", + " y : NDArray[np.float64]\n", + " Second time series.\n", + " max_lag_samples : int\n", + " Maximum lag in samples (both positive and negative).\n", + " n_bins : int, optional\n", + " Number of bins. Default is 20.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray, NDArray]\n", + " (lags, mi_values)\n", + " \"\"\"\n", + " lags = np.arange(-max_lag_samples, max_lag_samples + 1)\n", + " mi_values = []\n", + " \n", + " for lag in lags:\n", + " if lag < 0:\n", + " # Y leads X\n", + " x_aligned = x[-lag:]\n", + " y_aligned = y[:lag]\n", + " elif lag > 0:\n", + " # X leads Y\n", + " x_aligned = x[:-lag]\n", + " y_aligned = y[lag:]\n", + " else:\n", + " x_aligned = x\n", + " y_aligned = y\n", + " \n", + " mi = compute_mutual_information(x_aligned, y_aligned, n_bins)\n", + " mi_values.append(mi)\n", + " \n", + " return lags, np.array(mi_values)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "281617a6", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 11: Time-varying MI\n", + "\n", + "np.random.seed(42)\n", + "fs = 256\n", + "duration = 15 # seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Create signals with time-varying coupling\n", + "# 0-5s: independent\n", + "# 5-10s: coupled\n", + "# 10-15s: independent again\n", + "\n", + "x = np.random.randn(n_samples)\n", + "y = np.zeros(n_samples)\n", + "\n", + "# Independent phase 1 (0-5s)\n", + "idx1 = t < 5\n", + "y[idx1] = np.random.randn(np.sum(idx1))\n", + "\n", + "# Coupled phase (5-10s)\n", + "idx2 = (t >= 5) & (t < 10)\n", + "y[idx2] = 0.7 * x[idx2] + 0.71 * np.random.randn(np.sum(idx2))\n", + "\n", + "# Independent phase 2 (10-15s)\n", + "idx3 = t >= 10\n", + "y[idx3] = np.random.randn(np.sum(idx3))\n", + "\n", + "# Compute sliding window MI\n", + "window_sec = 2 # 2 second window\n", + "step_sec = 0.25 # 250ms step\n", + "window_samples = int(window_sec * fs)\n", + "step_samples = int(step_sec * fs)\n", + "\n", + "centers, mi_time = compute_mi_sliding_window(x, y, window_samples, step_samples, n_bins=15)\n", + "time_centers = centers / fs\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 10), sharex=True)\n", + "\n", + "# Plot signals\n", + "axes[0].plot(t, x, color=COLORS[\"signal_1\"], linewidth=0.5, alpha=0.8, label=\"X\")\n", + "axes[0].set_ylabel(\"X\", fontsize=12)\n", + "axes[0].set_title(\"Signal X\", fontsize=12, fontweight=\"bold\")\n", + "axes[0].legend(loc=\"upper right\")\n", + "\n", + "axes[1].plot(t, y, color=COLORS[\"signal_2\"], linewidth=0.5, alpha=0.8, label=\"Y\")\n", + "axes[1].set_ylabel(\"Y\", fontsize=12)\n", + "axes[1].set_title(\"Signal Y (coupled to X during 5-10s)\", fontsize=12, fontweight=\"bold\")\n", + "axes[1].legend(loc=\"upper right\")\n", + "\n", + "# Highlight coupling period\n", + "for ax in axes[:2]:\n", + " ax.axvspan(5, 10, alpha=0.2, color=COLORS[\"signal_3\"], label=\"Coupled period\")\n", + "\n", + "# Plot MI over time\n", + "axes[2].plot(time_centers, mi_time, color=COLORS[\"signal_3\"], linewidth=2.5)\n", + "axes[2].axvspan(5, 10, alpha=0.2, color=COLORS[\"signal_3\"])\n", + "axes[2].set_xlabel(\"Time (s)\", fontsize=12)\n", + "axes[2].set_ylabel(\"MI (bits)\", fontsize=12)\n", + "axes[2].set_title(\"Sliding Window MI — Detects Dynamic Coupling!\", fontsize=12, fontweight=\"bold\")\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "# Add annotations\n", + "axes[2].annotate(\"Independent\", xy=(2.5, np.mean(mi_time[:10])), fontsize=11, ha=\"center\")\n", + "axes[2].annotate(\"COUPLED\", xy=(7.5, np.max(mi_time)), fontsize=11, ha=\"center\", fontweight=\"bold\", color=\"red\")\n", + "axes[2].annotate(\"Independent\", xy=(12.5, np.mean(mi_time[-10:])), fontsize=11, ha=\"center\")\n", + "\n", + "plt.suptitle(\"Time-Resolved MI Reveals Dynamic Changes in Coupling\", fontsize=14, fontweight=\"bold\", y=1.01)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\\\n📊 MI clearly increases during the coupled period (5-10s)!\")\n", + "print(\" This shows MI can track DYNAMIC changes in statistical dependency.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "90ecbc7a", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_time_lagged_mi(\n", + " x: np.ndarray,\n", + " y: np.ndarray,\n", + " max_lag: int,\n", + " n_bins: int = 20\n", + ") -> Tuple[np.ndarray, np.ndarray]:\n", + " \"\"\"\n", + " Compute MI between two signals at different time lags.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : np.ndarray\n", + " First signal.\n", + " y : np.ndarray\n", + " Second signal.\n", + " max_lag : int\n", + " Maximum lag in samples (both positive and negative).\n", + " n_bins : int\n", + " Number of bins for histogram estimation.\n", + " \n", + " Returns\n", + " -------\n", + " lags : np.ndarray\n", + " Array of lag values (negative = X leads, positive = Y leads).\n", + " mi_values : np.ndarray\n", + " MI values at each lag.\n", + " \"\"\"\n", + " lags = np.arange(-max_lag, max_lag + 1)\n", + " mi_values = np.zeros(len(lags))\n", + " \n", + " for i, lag in enumerate(lags):\n", + " if lag < 0:\n", + " x_shifted = x[:lag] # X leads\n", + " y_shifted = y[-lag:]\n", + " elif lag > 0:\n", + " x_shifted = x[lag:] # Y leads\n", + " y_shifted = y[:-lag]\n", + " else:\n", + " x_shifted = x\n", + " y_shifted = y\n", + " \n", + " mi_values[i] = compute_mutual_information(x_shifted, y_shifted, n_bins)\n", + " \n", + " return lags, mi_values\n", + "\n", + "\n", + "# Visualization 12: Time-lagged MI can reveal directionality\n", + "\n", + "np.random.seed(42)\n", + "fs = 256\n", + "duration = 10\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create signals with X leading Y by ~20ms (5 samples at 256 Hz)\n", + "x = np.random.randn(len(t))\n", + "# Low-pass filter to create temporal structure\n", + "from scipy.ndimage import gaussian_filter1d\n", + "x = gaussian_filter1d(x, sigma=5)\n", + "\n", + "# Y follows X with a delay\n", + "delay_samples = 5\n", + "y = np.zeros_like(x)\n", + "y[delay_samples:] = 0.8 * x[:-delay_samples] + 0.4 * np.random.randn(len(x) - delay_samples)\n", + "\n", + "# Compute time-lagged MI\n", + "max_lag = 50 # ~200ms\n", + "lags, mi_lagged = compute_time_lagged_mi(x, y, max_lag, n_bins=20)\n", + "lags_ms = lags * 1000 / fs # Convert to ms\n", + "\n", + "# Find peak lag\n", + "peak_idx = np.argmax(mi_lagged)\n", + "peak_lag_ms = lags_ms[peak_idx]\n", + "\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 8))\n", + "\n", + "# Time series\n", + "axes[0].plot(t[:500], x[:500], color=COLORS[\"signal_1\"], linewidth=1.5, label=\"X (driver)\")\n", + "axes[0].plot(t[:500], y[:500], color=COLORS[\"signal_2\"], linewidth=1.5, label=\"Y (follower)\")\n", + "axes[0].set_xlabel(\"Time (s)\", fontsize=12)\n", + "axes[0].set_ylabel(\"Amplitude\", fontsize=12)\n", + "axes[0].set_title(\"X Drives Y with ~20ms Delay\", fontsize=12, fontweight=\"bold\")\n", + "axes[0].legend()\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Time-lagged MI\n", + "axes[1].plot(lags_ms, mi_lagged, color=COLORS[\"signal_3\"], linewidth=2.5)\n", + "axes[1].axvline(x=0, color=COLORS[\"grid\"], linestyle=\"--\", alpha=0.7, label=\"Zero lag\")\n", + "axes[1].axvline(x=peak_lag_ms, color=\"red\", linestyle=\"-\", linewidth=2, \n", + " label=f\"Peak: {peak_lag_ms:.1f} ms\")\n", + "axes[1].fill_between(lags_ms, mi_lagged, alpha=0.3, color=COLORS[\"signal_3\"])\n", + "axes[1].set_xlabel(\"Lag (ms) — Negative = X leads\", fontsize=12)\n", + "axes[1].set_ylabel(\"MI (bits)\", fontsize=12)\n", + "axes[1].set_title(\"Time-Lagged MI Reveals Directionality\", fontsize=12, fontweight=\"bold\")\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "expected_delay = delay_samples * 1000 / fs\n", + "print(f\"\\\\n🎯 Expected delay: {expected_delay:.1f} ms\")\n", + "print(f\" Detected peak lag: {peak_lag_ms:.1f} ms\")\n", + "print(\"\\\\n💡 The peak at NEGATIVE lag indicates X leads Y.\")\n", + "print(\" This is a simple form of 'directionality' analysis!\")" + ] + }, + { + "cell_type": "markdown", + "id": "3b3b94a0", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 12. MI Connectivity Matrix 🔗\n", + "\n", + "Just like we computed **entropy for multiple signals** in D01, we can compute MI between **all pairs** of signals to build a **connectivity matrix**.\n", + "\n", + "This is essential for hyperscanning where we want to measure statistical dependencies between multiple EEG channels!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "36ae4089", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_mi_matrix(\n", + " signals: np.ndarray,\n", + " n_bins: int = 20,\n", + " normalize: bool = True\n", + ") -> np.ndarray:\n", + " \"\"\"\n", + " Compute MI connectivity matrix for multiple signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " signals : np.ndarray\n", + " 2D array of shape (n_channels, n_samples).\n", + " n_bins : int\n", + " Number of bins for histogram estimation.\n", + " normalize : bool\n", + " If True, normalize MI to [0, 1] range.\n", + " \n", + " Returns\n", + " -------\n", + " mi_matrix : np.ndarray\n", + " Symmetric MI matrix of shape (n_channels, n_channels).\n", + " \"\"\"\n", + " n_channels = signals.shape[0]\n", + " mi_matrix = np.zeros((n_channels, n_channels))\n", + " \n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " mi = compute_mutual_information(signals[i], signals[j], n_bins)\n", + " \n", + " if normalize:\n", + " # Normalized MI - compute_entropy_continuous returns (entropy, n_bins)\n", + " h_i, _ = compute_entropy_continuous(signals[i], n_bins)\n", + " h_j, _ = compute_entropy_continuous(signals[j], n_bins)\n", + " if h_i > 0 and h_j > 0:\n", + " mi = 2 * mi / (h_i + h_j)\n", + " \n", + " mi_matrix[i, j] = mi\n", + " mi_matrix[j, i] = mi\n", + " \n", + " return mi_matrix\n", + "\n", + "\n", + "# Visualization 13: MI connectivity matrix\n", + "\n", + "np.random.seed(42)\n", + "n_channels = 8\n", + "n_samples = 2048\n", + "\n", + "# Create signals with cluster structure\n", + "# Cluster 1: channels 0, 1, 2 (coupled)\n", + "# Cluster 2: channels 4, 5, 6 (coupled)\n", + "# Channels 3 and 7: independent\n", + "\n", + "signals = np.random.randn(n_channels, n_samples)\n", + "\n", + "# Add coupling within clusters\n", + "base_1 = np.random.randn(n_samples)\n", + "base_2 = np.random.randn(n_samples)\n", + "\n", + "signals[0] += 2 * base_1\n", + "signals[1] += 2 * base_1 + 0.5 * np.random.randn(n_samples)\n", + "signals[2] += 2 * base_1 + 0.5 * np.random.randn(n_samples)\n", + "\n", + "signals[4] += 2 * base_2\n", + "signals[5] += 2 * base_2 + 0.5 * np.random.randn(n_samples)\n", + "signals[6] += 2 * base_2 + 0.5 * np.random.randn(n_samples)\n", + "\n", + "# Compute MI matrix\n", + "mi_matrix = compute_mi_matrix(signals, n_bins=20, normalize=True)\n", + "\n", + "# Create labels\n", + "channel_labels = [f\"Ch{i}\" for i in range(n_channels)]\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "\n", + "im = ax.imshow(mi_matrix, cmap=\"RdYlBu_r\", vmin=0, vmax=1)\n", + "cbar = plt.colorbar(im, ax=ax, label=\"Normalized MI\", shrink=0.8)\n", + "\n", + "# Add text annotations\n", + "for i in range(n_channels):\n", + " for j in range(n_channels):\n", + " if i != j:\n", + " text = ax.text(j, i, f\"{mi_matrix[i, j]:.2f}\",\n", + " ha=\"center\", va=\"center\", fontsize=9,\n", + " color=\"white\" if mi_matrix[i, j] > 0.5 else \"black\")\n", + "\n", + "ax.set_xticks(range(n_channels))\n", + "ax.set_yticks(range(n_channels))\n", + "ax.set_xticklabels(channel_labels)\n", + "ax.set_yticklabels(channel_labels)\n", + "ax.set_xlabel(\"Channel\", fontsize=12)\n", + "ax.set_ylabel(\"Channel\", fontsize=12)\n", + "ax.set_title(\"MI Connectivity Matrix — Two Clusters Detected!\", fontsize=14, fontweight=\"bold\")\n", + "\n", + "# Add cluster annotations\n", + "ax.add_patch(plt.Rectangle((-0.5, -0.5), 3, 3, fill=False, \n", + " edgecolor=COLORS[\"signal_1\"], linewidth=3, label=\"Cluster 1\"))\n", + "ax.add_patch(plt.Rectangle((3.5, 3.5), 3, 3, fill=False, \n", + " edgecolor=COLORS[\"signal_2\"], linewidth=3, label=\"Cluster 2\"))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n🔗 The MI matrix reveals the TRUE connectivity structure:\")\n", + "print(\" - Cluster 1: Ch0, Ch1, Ch2 (high within-cluster MI)\")\n", + "print(\" - Cluster 2: Ch4, Ch5, Ch6 (high within-cluster MI)\")\n", + "print(\" - Ch3 and Ch7: independent nodes\")" + ] + }, + { + "cell_type": "markdown", + "id": "2ffd3a06", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 13. Application: Hyperscanning Inter-Brain MI 🧠↔️🧠\n", + "\n", + "In **hyperscanning**, we record EEG from **two or more people** simultaneously. MI can measure **information sharing** between their brain signals!\n", + "\n", + "**Key insight**: Unlike correlation, MI can capture:\n", + "- Non-linear neural coupling\n", + "- Complex social interactions\n", + "- Implicit communication patterns" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "58c5a8c6", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 14: Inter-brain MI in hyperscanning scenario\n", + "\n", + "np.random.seed(42)\n", + "fs = 256\n", + "duration = 60 # 60 seconds\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Simulate EEG from two subjects (3 channels each)\n", + "# Scenario: Cooperative task with phases\n", + "# 0-20s: Independent (baseline)\n", + "# 20-40s: Cooperative task (inter-brain coupling)\n", + "# 40-60s: Independent (rest)\n", + "\n", + "n_channels_per_subject = 3\n", + "channel_names = [\"Fz\", \"Cz\", \"Pz\"]\n", + "\n", + "# Generate base signals (alpha oscillations ~10 Hz)\n", + "def generate_eeg_alpha(n_samples: int, fs: int) -> np.ndarray:\n", + " \"\"\"Generate simulated alpha band EEG.\"\"\"\n", + " t = np.arange(n_samples) / fs\n", + " alpha = np.sin(2 * np.pi * 10 * t + np.random.uniform(0, 2*np.pi))\n", + " noise = np.random.randn(n_samples) * 0.5\n", + " return alpha + noise\n", + "\n", + "# Subject 1 signals\n", + "subject1 = np.zeros((n_channels_per_subject, n_samples))\n", + "for ch in range(n_channels_per_subject):\n", + " subject1[ch] = generate_eeg_alpha(n_samples, fs)\n", + "\n", + "# Subject 2 signals - coupled during task phase\n", + "subject2 = np.zeros((n_channels_per_subject, n_samples))\n", + "for ch in range(n_channels_per_subject):\n", + " # Independent phases\n", + " subject2[ch, :20*fs] = generate_eeg_alpha(20*fs, fs)\n", + " subject2[ch, 40*fs:] = generate_eeg_alpha(20*fs, fs)\n", + " \n", + " # Coupled phase - share some common information\n", + " coupled_base = subject1[ch, 20*fs:40*fs]\n", + " subject2[ch, 20*fs:40*fs] = (0.6 * coupled_base + \n", + " 0.8 * generate_eeg_alpha(20*fs, fs))\n", + "\n", + "# Compute inter-brain MI in sliding windows\n", + "window_samples = 5 * fs # 5 second window\n", + "step_samples = 1 * fs # 1 second step\n", + "\n", + "def compute_interbrain_mi_timecourse(s1: np.ndarray, s2: np.ndarray, \n", + " window: int, step: int) -> Tuple[np.ndarray, np.ndarray]:\n", + " \"\"\"Compute mean inter-brain MI over time.\"\"\"\n", + " n_channels = s1.shape[0]\n", + " n_windows = (s1.shape[1] - window) // step + 1\n", + " \n", + " times = np.zeros(n_windows)\n", + " mi_timecourse = np.zeros(n_windows)\n", + " \n", + " for w in range(n_windows):\n", + " start = w * step\n", + " end = start + window\n", + " times[w] = (start + end) / 2 / fs\n", + " \n", + " # Compute MI for all inter-brain pairs and average\n", + " mi_sum = 0\n", + " n_pairs = 0\n", + " for i in range(n_channels):\n", + " for j in range(n_channels):\n", + " mi = compute_mutual_information(s1[i, start:end], \n", + " s2[j, start:end], n_bins=15)\n", + " mi_sum += mi\n", + " n_pairs += 1\n", + " \n", + " mi_timecourse[w] = mi_sum / n_pairs\n", + " \n", + " return times, mi_timecourse\n", + "\n", + "times, mi_timecourse = compute_interbrain_mi_timecourse(subject1, subject2, \n", + " window_samples, step_samples)\n", + "\n", + "# Plot results\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 10))\n", + "\n", + "# Subject 1 EEG (one channel)\n", + "ax = axes[0]\n", + "ax.plot(t, subject1[1], color=COLORS[\"signal_1\"], linewidth=0.5, alpha=0.8)\n", + "ax.set_ylabel(\"Subject 1\\\\nCz\", fontsize=12)\n", + "ax.set_title(\"Subject 1 EEG\", fontsize=12, fontweight=\"bold\")\n", + "ax.axvspan(20, 40, alpha=0.2, color=COLORS[\"signal_3\"])\n", + "ax.set_xlim([0, 60])\n", + "\n", + "# Subject 2 EEG (one channel)\n", + "ax = axes[1]\n", + "ax.plot(t, subject2[1], color=COLORS[\"signal_2\"], linewidth=0.5, alpha=0.8)\n", + "ax.set_ylabel(\"Subject 2\\\\nCz\", fontsize=12)\n", + "ax.set_title(\"Subject 2 EEG\", fontsize=12, fontweight=\"bold\")\n", + "ax.axvspan(20, 40, alpha=0.2, color=COLORS[\"signal_3\"], label=\"Cooperative task\")\n", + "ax.legend(loc=\"upper right\")\n", + "ax.set_xlim([0, 60])\n", + "\n", + "# Inter-brain MI\n", + "ax = axes[2]\n", + "ax.plot(times, mi_timecourse, color=COLORS[\"signal_3\"], linewidth=2.5)\n", + "ax.fill_between(times, mi_timecourse, alpha=0.3, color=COLORS[\"signal_3\"])\n", + "ax.axvspan(20, 40, alpha=0.2, color=COLORS[\"signal_3\"])\n", + "ax.axhline(y=np.mean(mi_timecourse[:15]), color=COLORS[\"grid\"], linestyle=\"--\", \n", + " label=\"Baseline level\")\n", + "ax.set_xlabel(\"Time (s)\", fontsize=12)\n", + "ax.set_ylabel(\"Mean Inter-Brain MI\", fontsize=12)\n", + "ax.set_title(\"Inter-Brain MI Increases During Cooperation!\", fontsize=12, fontweight=\"bold\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "ax.set_xlim([0, 60])\n", + "\n", + "plt.suptitle(\"Hyperscanning: MI Detects Inter-Brain Coupling During Social Interaction\",\n", + " fontsize=14, fontweight=\"bold\", y=1.01)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Summary statistics\n", + "mi_baseline = np.mean(np.concatenate([mi_timecourse[:15], mi_timecourse[-15:]]))\n", + "mi_task = np.mean(mi_timecourse[18:38])\n", + "increase = ((mi_task - mi_baseline) / mi_baseline) * 100\n", + "\n", + "print(f\"\\\\n📊 Inter-Brain MI Analysis:\")\n", + "print(f\" Baseline MI: {mi_baseline:.4f} bits\")\n", + "print(f\" Task MI: {mi_task:.4f} bits\")\n", + "print(f\" Increase: {increase:.1f}%\")\n", + "print(\"\\\\n🧠 This demonstrates how MI can track inter-brain coupling during social tasks!\")" + ] + }, + { + "cell_type": "markdown", + "id": "f3accda6", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 14. Exercises 📝\n", + "\n", + "Test your understanding of Mutual Information!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9318cb40", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: Relationship between MI and relationship type\n", + "# =========================================================\n", + "# Create three pairs of signals:\n", + "# 1. Linear relationship: Y = 2*X + noise\n", + "# 2. Quadratic relationship: Y = X^2 + noise\n", + "# 3. Circular relationship: Y = sin(X) + cos(X) + noise\n", + "#\n", + "# Compute MI and correlation for each. Which metric captures non-linear dependencies better?\n", + "\n", + "np.random.seed(42)\n", + "n = 1000\n", + "\n", + "x = np.random.randn(n)\n", + "\n", + "# Linear\n", + "y_linear = 2 * x + 0.5 * np.random.randn(n)\n", + "\n", + "# Quadratic\n", + "y_quadratic = x**2 + 0.5 * np.random.randn(n)\n", + "\n", + "# Circular (use x in radians)\n", + "x_rad = np.random.uniform(-np.pi, np.pi, n)\n", + "y_circular = np.sin(x_rad) + np.cos(x_rad) + 0.3 * np.random.randn(n)\n", + "\n", + "# Compute MI and correlation for each pair\n", + "results_ex1 = []\n", + "\n", + "for name, x_sig, y_sig in [(\"Linear\", x, y_linear), \n", + " (\"Quadratic\", x, y_quadratic), \n", + " (\"Circular\", x_rad, y_circular)]:\n", + " mi = compute_mutual_information(x_sig, y_sig, n_bins=20)\n", + " corr = np.abs(np.corrcoef(x_sig, y_sig)[0, 1])\n", + " results_ex1.append({\"Relationship\": name, \"MI\": mi, \"|Correlation|\": corr})\n", + "\n", + "# Display results\n", + "print(\"📊 Exercise 1: MI vs Correlation for Different Relationships\")\n", + "print(\"=\" * 60)\n", + "print(f\"{'Relationship':<15} {'MI (bits)':<15} {'|Correlation|':<15}\")\n", + "print(\"-\" * 60)\n", + "for r in results_ex1:\n", + " print(f\"{r['Relationship']:<15} {r['MI']:<15.4f} {r['|Correlation|']:<15.4f}\")\n", + "print(\"-\" * 60)\n", + "print(\"\\n💡 Key insight:\")\n", + "print(\" - Correlation captures LINEAR relationships well\")\n", + "print(\" - MI captures ALL relationships (linear AND nonlinear)\")\n", + "print(\" - Quadratic: correlation ≈ 0, but MI is HIGH!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "360ac0c3", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Effect of binning on MI estimation\n", + "# ================================================\n", + "# Using two coupled signals, compute MI with different numbers of bins:\n", + "# [5, 10, 20, 50, 100, 200]\n", + "#\n", + "# Plot MI as a function of number of bins. What do you observe?\n", + "\n", + "np.random.seed(42)\n", + "n = 1000\n", + "x = np.random.randn(n)\n", + "y = 0.5 * x + 0.87 * np.random.randn(n) # True correlation = 0.5\n", + "\n", + "n_bins_list = [5, 10, 20, 50, 100, 200]\n", + "mi_values_ex2 = []\n", + "\n", + "for n_bins in n_bins_list:\n", + " mi = compute_mutual_information(x, y, n_bins)\n", + " mi_values_ex2.append(mi)\n", + "\n", + "# Plot MI vs n_bins\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "ax.plot(n_bins_list, mi_values_ex2, \"o-\", color=COLORS[\"signal_1\"], \n", + " linewidth=2, markersize=10)\n", + "ax.axhline(y=mi_values_ex2[2], color=COLORS[\"grid\"], linestyle=\"--\", \n", + " label=f\"Reference (20 bins): {mi_values_ex2[2]:.4f}\")\n", + "\n", + "ax.set_xlabel(\"Number of Bins\", fontsize=12)\n", + "ax.set_ylabel(\"Estimated MI (bits)\", fontsize=12)\n", + "ax.set_title(\"Exercise 2: Effect of Binning on MI Estimation\", fontsize=14, fontweight=\"bold\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "ax.set_xscale(\"log\")\n", + "\n", + "# Add annotations\n", + "for i, (nb, mi) in enumerate(zip(n_bins_list, mi_values_ex2)):\n", + " ax.annotate(f\"{mi:.3f}\", (nb, mi), textcoords=\"offset points\", \n", + " xytext=(0, 10), ha=\"center\", fontsize=9)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n💡 Key observations:\")\n", + "print(\" - Too few bins (5): UNDERESTIMATES MI (discretization too coarse)\")\n", + "print(\" - Too many bins (200): BIAS increases (sparse histogram)\")\n", + "print(\" - Sweet spot: ~20-50 bins for n=1000 samples\")\n", + "print(\"\\n Rule of thumb: n_bins ≈ √(n_samples) or Sturges' formula\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "88b0ecc9", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 3: Conditional MI\n", + "# ============================\n", + "# Conditional MI measures: I(X; Y | Z) = H(X|Z) + H(Y|Z) - H(X,Y|Z)\n", + "# This tells us how much information X and Y share BEYOND what Z provides.\n", + "#\n", + "# Create three signals:\n", + "# - Z: Common driver signal\n", + "# - X = Z + noise_1\n", + "# - Y = Z + noise_2\n", + "#\n", + "# Compare I(X; Y) with the expected behavior when conditioning on Z.\n", + "\n", + "np.random.seed(42)\n", + "n = 2000\n", + "\n", + "z = np.random.randn(n) # Common driver\n", + "x = z + 0.3 * np.random.randn(n)\n", + "y = z + 0.3 * np.random.randn(n)\n", + "\n", + "# Unconditional MI between X and Y\n", + "mi_xy = compute_mutual_information(x, y, n_bins=20)\n", + "\n", + "# Correlation between X, Y, and Z\n", + "corr_xy = np.corrcoef(x, y)[0, 1]\n", + "corr_xz = np.corrcoef(x, z)[0, 1]\n", + "corr_yz = np.corrcoef(y, z)[0, 1]\n", + "\n", + "# For demonstration: compute MI after \"regressing out\" Z\n", + "# This is a simplified approximation of conditional MI\n", + "x_residual = x - np.polyval(np.polyfit(z, x, 1), z)\n", + "y_residual = y - np.polyval(np.polyfit(z, y, 1), z)\n", + "mi_xy_given_z_approx = compute_mutual_information(x_residual, y_residual, n_bins=20)\n", + "\n", + "print(\"📊 Exercise 3: Conditional MI — Detecting Spurious Correlations\")\n", + "print(\"=\" * 65)\n", + "print(f\"\\nCorrelations:\")\n", + "print(f\" r(X, Y) = {corr_xy:.4f} ← High! But is it genuine?\")\n", + "print(f\" r(X, Z) = {corr_xz:.4f} ← X follows Z\")\n", + "print(f\" r(Y, Z) = {corr_yz:.4f} ← Y follows Z\")\n", + "\n", + "print(f\"\\nMutual Information:\")\n", + "print(f\" I(X; Y) = {mi_xy:.4f} bits ← Unconditional MI\")\n", + "print(f\" I(X; Y | Z) ≈ {mi_xy_given_z_approx:.4f} bits ← After removing Z influence\")\n", + "\n", + "print(\"\\n💡 Key insight:\")\n", + "print(\" X and Y appear highly dependent (high I(X;Y))\")\n", + "print(\" But this is because BOTH depend on Z!\")\n", + "print(\" After conditioning on Z, the dependency (almost) disappears.\")\n", + "print(\"\\n🔍 This is the 'confounding variable' problem!\")\n", + "print(\" Conditional MI helps detect when apparent dependencies are spurious.\")" + ] + }, + { + "cell_type": "markdown", + "id": "0b40e2f7", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 15. Summary 📋\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Formula | Meaning |\n", + "|---------|---------|---------|\n", + "| **Joint Entropy** | $H(X,Y) = -\\sum p(x,y) \\log_2 p(x,y)$ | Total uncertainty of both variables |\n", + "| **Conditional Entropy** | $H(Y\\|X) = H(X,Y) - H(X)$ | Uncertainty in Y given X |\n", + "| **Mutual Information** | $I(X;Y) = H(X) + H(Y) - H(X,Y)$ | Shared information |\n", + "| **Normalized MI** | $NMI = \\frac{2 \\cdot I(X;Y)}{H(X) + H(Y)}$ | Bounded [0, 1] |\n", + "\n", + "### MI vs Correlation\n", + "\n", + "| Property | Correlation | Mutual Information |\n", + "|----------|-------------|-------------------|\n", + "| Range | [-1, 1] | [0, ∞) |\n", + "| Linear relationships | ✓ | ✓ |\n", + "| Non-linear relationships | ✗ | ✓ |\n", + "| Interpretation | Direction + strength | Information shared |\n", + "| Estimation | Simple | Requires binning/KNN |\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **MI captures ALL dependencies**: Unlike correlation, MI detects any statistical relationship\n", + "2. **Symmetric but not directional**: $I(X;Y) = I(Y;X)$ — use Transfer Entropy for directionality\n", + "3. **Estimation matters**: Too few bins → underestimate, too many → bias/variance issues\n", + "4. **Use surrogates**: Always validate significance with shuffled surrogates\n", + "5. **Time-varying MI**: Sliding windows reveal dynamic coupling changes\n", + "6. **Perfect for hyperscanning**: Captures complex inter-brain dependencies" + ] + }, + { + "cell_type": "markdown", + "id": "c3656122", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 16. Discussion & Next Steps 🚀\n", + "\n", + "### Discussion Questions\n", + "\n", + "1. **Why might MI be preferred over correlation for EEG analysis?**\n", + " - Neural communication often involves non-linear dynamics\n", + " - Phase-amplitude coupling is inherently non-linear\n", + " - Information theory provides interpretable units (bits)\n", + "\n", + "2. **What are the limitations of histogram-based MI estimation?**\n", + " - Curse of dimensionality for multivariate data\n", + " - Bin size selection is somewhat arbitrary\n", + " - May require many samples for reliable estimates\n", + "\n", + "3. **How does MI relate to other connectivity metrics?**\n", + " - Coherence: captures linear frequency-specific dependencies\n", + " - Phase-Locking Value: captures phase synchronization\n", + " - MI: captures all statistical dependencies\n", + "\n", + "### Next Steps\n", + "\n", + "In the next notebook (**D03 - Transfer Entropy**), we'll learn:\n", + "- How to measure **directed** information flow\n", + "- The concept of **causal** coupling\n", + "- Applications to detecting leader-follower dynamics in hyperscanning\n", + "\n", + "### Further Reading\n", + "\n", + "- Cover, T. M., & Thomas, J. A. (2006). *Elements of Information Theory*\n", + "- Kraskov, A., et al. (2004). Estimating mutual information. *Physical Review E*\n", + "- Jeong, J., et al. (2001). Mutual information analysis of EEG. *Clinical Neurophysiology*\n", + "\n", + "---\n", + "\n", + "**Estimated time**: 70 minutes\n", + "\n", + "**Prerequisites completed**: D01 (Entropy and Information)\n", + "\n", + "**Next notebook**: D03 - Transfer Entropy" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/D_information_theory/D03_transfer_entropy.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/D_information_theory/D03_transfer_entropy.ipynb new file mode 100644 index 0000000..f44496e --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/D_information_theory/D03_transfer_entropy.ipynb @@ -0,0 +1,2057 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "89a8fb7d", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 1. Introduction — The Directionality Question\n", + "\n", + "So far, all our connectivity measures have been **symmetric**:\n", + "\n", + "- **Correlation**: $r(X, Y) = r(Y, X)$\n", + "- **PLV**: $PLV(X, Y) = PLV(Y, X)$\n", + "- **Mutual Information**: $I(X; Y) = I(Y; X)$\n", + "\n", + "But real relationships are often **directional**!\n", + "\n", + "### Examples of Directional Influence\n", + "\n", + "- 🎓 Teacher speaks → Student listens\n", + "- 👥 Leader acts → Follower responds\n", + "- 🧠 Brain region A drives → Brain region B responds\n", + "\n", + "### The Key Question\n", + "\n", + "> Does X **influence** Y, or does Y **influence** X, or both?\n", + "\n", + "### Enter Transfer Entropy\n", + "\n", + "**Transfer Entropy (TE)** measures directed information flow:\n", + "\n", + "> *\"How much does knowing X's PAST help predict Y's FUTURE?\"*\n", + "\n", + "This is critical for hyperscanning: **who influences whom** during social interaction?\n", + "\n", + "💡 **Key insight**: Transfer entropy answers: Does information FLOW from X to Y?" + ] + }, + { + "cell_type": "markdown", + "id": "1aae9caf", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 2. Setup" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "45a3b8be", + "metadata": {}, + "outputs": [], + "source": [ + "# Imports\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from numpy.typing import NDArray\n", + "from typing import Tuple, Optional, Dict\n", + "from scipy import signal\n", + "from scipy.ndimage import gaussian_filter1d\n", + "import sys\n", + "sys.path.append(\"../../..\")\n", + "\n", + "from src.colors import COLORS\n", + "from src.plotting import configure_plots\n", + "from src.information import (\n", + " compute_entropy_continuous,\n", + " compute_mutual_information,\n", + " compute_joint_entropy\n", + ")\n", + "\n", + "configure_plots()" + ] + }, + { + "cell_type": "markdown", + "id": "0587ca9b", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 3. Intuition — Prediction and Causality\n", + "\n", + "### A Thought Experiment: Weather Prediction\n", + "\n", + "Imagine you want to predict **tomorrow's weather** in your city:\n", + "\n", + "1. **Using only your city's past weather** → Some accuracy\n", + "2. **Adding the neighboring city's past weather** → Better accuracy?\n", + "\n", + "If adding the neighbor's data improves prediction, then:\n", + "- Information **flows** from the neighbor to your city\n", + "- The neighbor's weather contains **predictive information** about yours\n", + "\n", + "### Wiener-Granger Causality (1956, 1969)\n", + "\n", + "> \"X **Granger-causes** Y if X's past helps predict Y's future, **beyond** Y's past alone\"\n", + "\n", + "⚠️ **Important**: This is not true causality! It's **predictive influence**.\n", + "\n", + "### Transfer Entropy = Information-Theoretic Granger Causality\n", + "\n", + "| Granger Causality | Transfer Entropy |\n", + "|-------------------|------------------|\n", + "| Linear regression | Mutual Information |\n", + "| Assumes linearity | No linearity assumption |\n", + "| F-test for significance | Captures nonlinear influences |" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9690dccb", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 1: Conceptual diagram of prediction improvement\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Predict Y from Y's past only\n", + "ax = axes[0]\n", + "ax.set_xlim(0, 10)\n", + "ax.set_ylim(0, 10)\n", + "\n", + "# Y's past\n", + "ax.add_patch(plt.Rectangle((1, 3), 3, 4, color=COLORS[\"signal_2\"], alpha=0.7))\n", + "ax.text(2.5, 5, \"Y past\", ha=\"center\", va=\"center\", fontsize=14, fontweight=\"bold\", color=\"white\")\n", + "\n", + "# Y's future (with uncertainty)\n", + "ax.add_patch(plt.Rectangle((6, 3), 3, 4, color=COLORS[\"signal_2\"], alpha=0.3))\n", + "ax.add_patch(plt.Rectangle((6.5, 3.5), 2, 3, color=COLORS[\"signal_2\"], alpha=0.5))\n", + "ax.text(7.5, 5, \"Y future\\n(uncertain)\", ha=\"center\", va=\"center\", fontsize=12)\n", + "\n", + "# Arrow\n", + "ax.annotate(\"\", xy=(6, 5), xytext=(4, 5),\n", + " arrowprops=dict(arrowstyle=\"->\", lw=3, color=\"black\"))\n", + "ax.text(5, 5.8, \"Predict\", ha=\"center\", fontsize=11)\n", + "\n", + "ax.set_title(\"Prediction from Y's past only\", fontsize=14, fontweight=\"bold\")\n", + "ax.axis(\"off\")\n", + "\n", + "# Right: Predict Y from Y's past AND X's past\n", + "ax = axes[1]\n", + "ax.set_xlim(0, 10)\n", + "ax.set_ylim(0, 10)\n", + "\n", + "# X's past\n", + "ax.add_patch(plt.Rectangle((1, 6), 3, 2.5, color=COLORS[\"signal_1\"], alpha=0.7))\n", + "ax.text(2.5, 7.25, \"X past\", ha=\"center\", va=\"center\", fontsize=14, fontweight=\"bold\", color=\"white\")\n", + "\n", + "# Y's past\n", + "ax.add_patch(plt.Rectangle((1, 2), 3, 2.5, color=COLORS[\"signal_2\"], alpha=0.7))\n", + "ax.text(2.5, 3.25, \"Y past\", ha=\"center\", va=\"center\", fontsize=14, fontweight=\"bold\", color=\"white\")\n", + "\n", + "# Y's future (less uncertainty!)\n", + "ax.add_patch(plt.Rectangle((6, 3), 3, 4, color=COLORS[\"signal_2\"], alpha=0.3))\n", + "ax.add_patch(plt.Rectangle((6.8, 4), 1.4, 2, color=COLORS[\"signal_2\"], alpha=0.8))\n", + "ax.text(7.5, 5, \"Y future\\n(less uncertain!)\", ha=\"center\", va=\"center\", fontsize=12, fontweight=\"bold\")\n", + "\n", + "# Arrows\n", + "ax.annotate(\"\", xy=(6, 5), xytext=(4, 3.25),\n", + " arrowprops=dict(arrowstyle=\"->\", lw=2, color=COLORS[\"signal_2\"]))\n", + "ax.annotate(\"\", xy=(6, 5), xytext=(4, 7.25),\n", + " arrowprops=dict(arrowstyle=\"->\", lw=3, color=COLORS[\"signal_1\"]))\n", + "\n", + "ax.text(5, 7, \"Extra info!\", ha=\"center\", fontsize=11, color=COLORS[\"signal_1\"], fontweight=\"bold\")\n", + "\n", + "ax.set_title(\"Prediction from BOTH pasts — TE measures this improvement!\", fontsize=14, fontweight=\"bold\")\n", + "ax.axis(\"off\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"💡 Transfer Entropy = How much X's past REDUCES uncertainty about Y's future\")\n", + "print(\" (beyond what Y's own past already tells us)\")" + ] + }, + { + "cell_type": "markdown", + "id": "dceda668", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 4. From Mutual Information to Transfer Entropy\n", + "\n", + "### The Problem with MI\n", + "\n", + "Mutual Information $I(X; Y)$ measures shared information between **current** values.\n", + "\n", + "But it ignores **time**! We want to know about **prediction**.\n", + "\n", + "### The Solution: Consider Past and Future\n", + "\n", + "**Notation**:\n", + "- $X_{past}$ = history of X: $X(t-\\tau), X(t-2\\tau), ...$\n", + "- $Y_{past}$ = history of Y: $Y(t-\\tau), Y(t-2\\tau), ...$ \n", + "- $Y_{future}$ = what we want to predict: $Y(t)$\n", + "\n", + "### Transfer Entropy Definition\n", + "\n", + "$$TE_{X \\to Y} = I(Y_{future}; X_{past} \\mid Y_{past})$$\n", + "\n", + "Read as: *\"Information that X's past provides about Y's future, **given** Y's past\"*\n", + "\n", + "This is **conditional mutual information** — the information gained BEYOND what Y's past already tells us." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2830a328", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 2: Timeline diagram showing embedding for TE\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 6))\n", + "\n", + "# Time axis\n", + "ax.set_xlim(0, 14)\n", + "ax.set_ylim(0, 8)\n", + "\n", + "# Draw X signal timeline\n", + "y_x = 6\n", + "ax.plot([1, 13], [y_x, y_x], 'k-', linewidth=2)\n", + "ax.text(0.5, y_x, \"X\", fontsize=16, fontweight=\"bold\", va=\"center\", color=COLORS[\"signal_1\"])\n", + "\n", + "# X past samples\n", + "for i, t in enumerate([3, 5, 7]):\n", + " ax.plot(t, y_x, 'o', markersize=15, color=COLORS[\"signal_1\"])\n", + " ax.text(t, y_x + 0.5, f\"t-{3-i}τ\" if i < 2 else \"t-τ\", ha=\"center\", fontsize=10)\n", + "\n", + "# X past bracket\n", + "ax.annotate(\"\", xy=(2.5, y_x - 0.3), xytext=(7.5, y_x - 0.3),\n", + " arrowprops=dict(arrowstyle=\"<->\", color=COLORS[\"signal_1\"], lw=2))\n", + "ax.text(5, y_x - 0.8, \"$X_{past}$\", ha=\"center\", fontsize=14, color=COLORS[\"signal_1\"], fontweight=\"bold\")\n", + "\n", + "# Draw Y signal timeline\n", + "y_y = 3\n", + "ax.plot([1, 13], [y_y, y_y], 'k-', linewidth=2)\n", + "ax.text(0.5, y_y, \"Y\", fontsize=16, fontweight=\"bold\", va=\"center\", color=COLORS[\"signal_2\"])\n", + "\n", + "# Y past samples\n", + "for i, t in enumerate([3, 5, 7]):\n", + " ax.plot(t, y_y, 'o', markersize=15, color=COLORS[\"signal_2\"])\n", + "\n", + "# Y past bracket \n", + "ax.annotate(\"\", xy=(2.5, y_y - 0.3), xytext=(7.5, y_y - 0.3),\n", + " arrowprops=dict(arrowstyle=\"<->\", color=COLORS[\"signal_2\"], lw=2))\n", + "ax.text(5, y_y - 0.8, \"$Y_{past}$\", ha=\"center\", fontsize=14, color=COLORS[\"signal_2\"], fontweight=\"bold\")\n", + "\n", + "# Y future (target)\n", + "ax.plot(10, y_y, 's', markersize=20, color=COLORS[\"signal_3\"], zorder=5)\n", + "ax.text(10, y_y + 0.6, \"$Y_{future}$\", ha=\"center\", fontsize=14, color=COLORS[\"signal_3\"], fontweight=\"bold\")\n", + "ax.text(10, y_y - 0.6, \"t\", ha=\"center\", fontsize=12)\n", + "\n", + "# Arrows showing information flow\n", + "ax.annotate(\"\", xy=(9.5, y_y + 0.2), xytext=(7.5, y_y),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"signal_2\"], lw=2, ls=\"--\"))\n", + "ax.annotate(\"\", xy=(9.5, y_y + 0.3), xytext=(7.5, y_x - 0.5),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"signal_1\"], lw=3))\n", + "\n", + "# Labels\n", + "ax.text(8.5, 4.8, \"TE = Extra\\ninfo from X!\", fontsize=12, color=COLORS[\"signal_1\"], \n", + " fontweight=\"bold\", ha=\"center\")\n", + "\n", + "# Time arrow\n", + "ax.annotate(\"\", xy=(13, 1), xytext=(1, 1),\n", + " arrowprops=dict(arrowstyle=\"->\", color=\"gray\", lw=2))\n", + "ax.text(7, 0.5, \"Time →\", ha=\"center\", fontsize=12, color=\"gray\")\n", + "\n", + "ax.axis(\"off\")\n", + "ax.set_title(\"Transfer Entropy: Information Flow from X's Past to Y's Future\", \n", + " fontsize=14, fontweight=\"bold\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"📊 TE measures how much X's past helps predict Y's future,\")\n", + "print(\" BEYOND what Y's own past already provides.\")" + ] + }, + { + "cell_type": "markdown", + "id": "a6637c6b", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 5. The Transfer Entropy Formula\n", + "\n", + "### Conditional Mutual Information\n", + "\n", + "$$I(A; B \\mid C) = H(A \\mid C) - H(A \\mid B, C)$$\n", + "\n", + "*\"Information A provides about B, given we already know C\"*\n", + "\n", + "### Transfer Entropy Formula\n", + "\n", + "$$TE_{X \\to Y} = H(Y_t \\mid Y_{past}) - H(Y_t \\mid Y_{past}, X_{past})$$\n", + "\n", + "**Interpretation**:\n", + "- $H(Y_t \\mid Y_{past})$ = uncertainty about Y's future given **only** Y's past\n", + "- $H(Y_t \\mid Y_{past}, X_{past})$ = uncertainty given **both** pasts\n", + "- **TE** = reduction in uncertainty from adding X's information\n", + "\n", + "### Key Properties\n", + "\n", + "| Property | Meaning |\n", + "|----------|---------|\n", + "| $TE \\geq 0$ | Adding information can't hurt prediction |\n", + "| $TE = 0$ | X provides no additional predictive power |\n", + "| $TE_{X \\to Y} \\neq TE_{Y \\to X}$ | **Asymmetric!** (unlike MI) |\n", + "| Units: bits | (when using $\\log_2$) |" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "5bc5dded", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 3: Venn diagram for conditional MI / Transfer Entropy\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "\n", + "from matplotlib.patches import Circle\n", + "\n", + "# Three circles: Y_future, Y_past, X_past\n", + "r = 2.0\n", + "\n", + "# Positions (overlapping)\n", + "c_yfut = Circle((0, 0), r, fill=False, edgecolor=COLORS[\"signal_3\"], linewidth=3, label=\"$Y_{future}$\")\n", + "c_ypast = Circle((-1.5, -1.5), r, fill=False, edgecolor=COLORS[\"signal_2\"], linewidth=3, label=\"$Y_{past}$\")\n", + "c_xpast = Circle((1.5, -1.5), r, fill=False, edgecolor=COLORS[\"signal_1\"], linewidth=3, label=\"$X_{past}$\")\n", + "\n", + "ax.add_patch(c_yfut)\n", + "ax.add_patch(c_ypast)\n", + "ax.add_patch(c_xpast)\n", + "\n", + "# Labels\n", + "ax.text(0, 1.5, \"$Y_{future}$\", ha=\"center\", fontsize=14, fontweight=\"bold\", color=COLORS[\"signal_3\"])\n", + "ax.text(-3, -2.5, \"$Y_{past}$\", ha=\"center\", fontsize=14, fontweight=\"bold\", color=COLORS[\"signal_2\"])\n", + "ax.text(3, -2.5, \"$X_{past}$\", ha=\"center\", fontsize=14, fontweight=\"bold\", color=COLORS[\"signal_1\"])\n", + "\n", + "# Highlight TE region (Y_future ∩ X_past \\ Y_past)\n", + "# This is simplified - just annotate the concept\n", + "ax.annotate(\"TE\", xy=(0.7, -0.3), fontsize=20, fontweight=\"bold\", color=\"red\",\n", + " ha=\"center\", va=\"center\")\n", + "ax.annotate(\"\", xy=(0.7, -0.5), xytext=(1.2, -1.2),\n", + " arrowprops=dict(arrowstyle=\"->\", color=\"red\", lw=2))\n", + "\n", + "# Explanation text\n", + "ax.text(0, -4.5, \n", + " \"$TE_{X→Y} = I(Y_{future}; X_{past} | Y_{past})$\\n\"\n", + " \"= Information X's past shares with Y's future,\\n\"\n", + " \"that Y's past doesn't already provide\",\n", + " ha=\"center\", fontsize=12, style=\"italic\",\n", + " bbox=dict(boxstyle=\"round\", facecolor=\"lightyellow\", alpha=0.8))\n", + "\n", + "ax.set_xlim(-5, 5)\n", + "ax.set_ylim(-6, 4)\n", + "ax.set_aspect(\"equal\")\n", + "ax.axis(\"off\")\n", + "ax.set_title(\"Transfer Entropy as Conditional Mutual Information\", fontsize=14, fontweight=\"bold\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7cb80f08", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 6. Implementing Transfer Entropy\n", + "\n", + "### Steps to Compute TE\n", + "\n", + "1. **Define embedding parameters**:\n", + " - $k$ = history length for Y (how many past samples)\n", + " - $l$ = history length for X\n", + " - $\\tau$ = time delay between samples\n", + "\n", + "2. **Create state vectors**:\n", + " - $Y_{past}$ = $[Y(t-\\tau), Y(t-2\\tau), ..., Y(t-k\\tau)]$\n", + " - $X_{past}$ = $[X(t-\\tau), X(t-2\\tau), ..., X(t-l\\tau)]$\n", + " - $Y_{future}$ = $Y(t)$\n", + "\n", + "3. **Estimate entropies** via binning or KNN\n", + "\n", + "4. **Compute TE** = $H(Y_t | Y_{past}) - H(Y_t | Y_{past}, X_{past})$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b219329", + "metadata": {}, + "outputs": [], + "source": [ + "def create_embedding_vectors(\n", + " x: np.ndarray,\n", + " y: np.ndarray,\n", + " k: int = 1,\n", + " l: int = 1,\n", + " tau: int = 1\n", + ") -> Tuple[np.ndarray, np.ndarray, np.ndarray]:\n", + " \"\"\"\n", + " Create embedded state vectors for Transfer Entropy computation.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : np.ndarray\n", + " Source signal.\n", + " y : np.ndarray\n", + " Target signal.\n", + " k : int\n", + " History length for target (Y). Default is 1.\n", + " l : int\n", + " History length for source (X). Default is 1.\n", + " tau : int\n", + " Embedding delay in samples. Default is 1.\n", + " \n", + " Returns\n", + " -------\n", + " y_future : np.ndarray\n", + " Target values at time t, shape (n_valid,).\n", + " y_past : np.ndarray\n", + " Target history vectors, shape (n_valid, k).\n", + " x_past : np.ndarray\n", + " Source history vectors, shape (n_valid, l).\n", + " \"\"\"\n", + " n = len(x)\n", + " \n", + " # Maximum lookback needed\n", + " max_lag = max(k, l) * tau\n", + " \n", + " # Valid indices (where we have full history)\n", + " n_valid = n - max_lag\n", + " \n", + " # Initialize arrays\n", + " y_future = np.zeros(n_valid)\n", + " y_past = np.zeros((n_valid, k))\n", + " x_past = np.zeros((n_valid, l))\n", + " \n", + " for i in range(n_valid):\n", + " idx = i + max_lag # Current time index\n", + " \n", + " # Y future (target)\n", + " y_future[i] = y[idx]\n", + " \n", + " # Y past (k samples)\n", + " for j in range(k):\n", + " y_past[i, j] = y[idx - (j + 1) * tau]\n", + " \n", + " # X past (l samples)\n", + " for j in range(l):\n", + " x_past[i, j] = x[idx - (j + 1) * tau]\n", + " \n", + " return y_future, y_past, x_past\n", + "\n", + "\n", + "# Quick test\n", + "np.random.seed(42)\n", + "x_test = np.random.randn(100)\n", + "y_test = np.random.randn(100)\n", + "\n", + "y_fut, y_past, x_past = create_embedding_vectors(x_test, y_test, k=2, l=2, tau=1)\n", + "print(f\"Input length: {len(x_test)}\")\n", + "print(f\"Output shapes: y_future={y_fut.shape}, y_past={y_past.shape}, x_past={x_past.shape}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "74b99d3e", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_transfer_entropy(\n", + " x: np.ndarray,\n", + " y: np.ndarray,\n", + " k: int = 1,\n", + " l: int = 1,\n", + " tau: int = 1,\n", + " n_bins: int = 8\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Transfer Entropy from X to Y: TE_{X→Y}.\n", + " \n", + " TE_{X→Y} = H(Y_t | Y_past) - H(Y_t | Y_past, X_past)\n", + " \n", + " Parameters\n", + " ----------\n", + " x : np.ndarray\n", + " Source signal.\n", + " y : np.ndarray\n", + " Target signal.\n", + " k : int\n", + " History length for target (Y). Default is 1.\n", + " l : int\n", + " History length for source (X). Default is 1.\n", + " tau : int\n", + " Embedding delay in samples. Default is 1.\n", + " n_bins : int\n", + " Number of bins per dimension for histogram. Default is 8.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Transfer entropy from X to Y in bits.\n", + " \"\"\"\n", + " # Create embedding vectors\n", + " y_future, y_past, x_past = create_embedding_vectors(x, y, k, l, tau)\n", + " \n", + " n_samples = len(y_future)\n", + " \n", + " # Discretize all variables\n", + " def discretize(arr: np.ndarray) -> np.ndarray:\n", + " \"\"\"Discretize array into bins.\"\"\"\n", + " if arr.ndim == 1:\n", + " arr = arr.reshape(-1, 1)\n", + " \n", + " result = np.zeros(arr.shape, dtype=int)\n", + " for col in range(arr.shape[1]):\n", + " # Use percentile-based binning for robustness\n", + " percentiles = np.linspace(0, 100, n_bins + 1)\n", + " bin_edges = np.percentile(arr[:, col], percentiles)\n", + " result[:, col] = np.digitize(arr[:, col], bin_edges[1:-1])\n", + " \n", + " return result\n", + " \n", + " # Discretize\n", + " y_fut_d = discretize(y_future).flatten()\n", + " y_past_d = discretize(y_past)\n", + " x_past_d = discretize(x_past)\n", + " \n", + " # Convert multi-dimensional indices to single index\n", + " def to_single_index(arr: np.ndarray) -> np.ndarray:\n", + " \"\"\"Convert multi-column discrete array to single index.\"\"\"\n", + " if arr.ndim == 1:\n", + " return arr\n", + " result = np.zeros(len(arr), dtype=int)\n", + " multiplier = 1\n", + " for col in range(arr.shape[1] - 1, -1, -1):\n", + " result += arr[:, col] * multiplier\n", + " multiplier *= n_bins\n", + " return result\n", + " \n", + " y_past_idx = to_single_index(y_past_d)\n", + " x_past_idx = to_single_index(x_past_d)\n", + " \n", + " # Combined index for (y_past, x_past)\n", + " yx_past_idx = y_past_idx * (n_bins ** l) + x_past_idx\n", + " \n", + " # Compute entropies using histogram counts\n", + " def entropy_from_joint(idx1: np.ndarray, idx2: np.ndarray) -> float:\n", + " \"\"\"Compute H(idx1 | idx2) = H(idx1, idx2) - H(idx2).\"\"\"\n", + " # Joint entropy H(idx1, idx2)\n", + " joint = np.ravel_multi_index((idx1, idx2), (idx1.max() + 1, idx2.max() + 1))\n", + " _, joint_counts = np.unique(joint, return_counts=True)\n", + " p_joint = joint_counts / n_samples\n", + " H_joint = -np.sum(p_joint * np.log2(p_joint + 1e-12))\n", + " \n", + " # Marginal entropy H(idx2)\n", + " _, marginal_counts = np.unique(idx2, return_counts=True)\n", + " p_marginal = marginal_counts / n_samples\n", + " H_marginal = -np.sum(p_marginal * np.log2(p_marginal + 1e-12))\n", + " \n", + " return H_joint - H_marginal\n", + " \n", + " # H(Y_t | Y_past)\n", + " H_y_given_ypast = entropy_from_joint(y_fut_d, y_past_idx)\n", + " \n", + " # H(Y_t | Y_past, X_past)\n", + " H_y_given_yxpast = entropy_from_joint(y_fut_d, yx_past_idx)\n", + " \n", + " # Transfer Entropy\n", + " te = H_y_given_ypast - H_y_given_yxpast\n", + " \n", + " # TE should be non-negative\n", + " return max(0.0, te)\n", + "\n", + "\n", + "# Test with independent signals (TE should be ~0)\n", + "np.random.seed(42)\n", + "x_indep = np.random.randn(2000)\n", + "y_indep = np.random.randn(2000)\n", + "\n", + "te_indep = compute_transfer_entropy(x_indep, y_indep, k=1, l=1, tau=1)\n", + "print(f\"TE for independent signals: {te_indep:.4f} bits (should be ~0)\")" + ] + }, + { + "cell_type": "markdown", + "id": "bb057a8a", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 7. Example — Coupled Signals\n", + "\n", + "Let's test TE on signals where we **know** the ground truth:\n", + "- X drives Y with some delay\n", + "- Y does NOT drive X\n", + "\n", + "We expect:\n", + "- $TE_{X \\to Y} > 0$ (X influences Y)\n", + "- $TE_{Y \\to X} \\approx 0$ (Y doesn't influence X)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "96cbf323", + "metadata": {}, + "outputs": [], + "source": [ + "def generate_coupled_signals(\n", + " n_samples: int,\n", + " coupling_x_to_y: float = 0.5,\n", + " coupling_y_to_x: float = 0.0,\n", + " delay_samples: int = 5,\n", + " noise_level: float = 0.3,\n", + " seed: Optional[int] = None\n", + ") -> Tuple[np.ndarray, np.ndarray]:\n", + " \"\"\"\n", + " Generate coupled AR-like signals with specified directional coupling.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples to generate.\n", + " coupling_x_to_y : float\n", + " Coupling strength from X to Y (0 to 1). Default is 0.5.\n", + " coupling_y_to_x : float\n", + " Coupling strength from Y to X (0 to 1). Default is 0.0.\n", + " delay_samples : int\n", + " Delay in samples for the coupling. Default is 5.\n", + " noise_level : float\n", + " Standard deviation of noise. Default is 0.3.\n", + " seed : int, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " x : np.ndarray\n", + " Source signal (or first signal if bidirectional).\n", + " y : np.ndarray\n", + " Target signal (or second signal if bidirectional).\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " # Initialize signals\n", + " x = np.zeros(n_samples)\n", + " y = np.zeros(n_samples)\n", + " \n", + " # Generate AR(1) base processes\n", + " ar_coef = 0.7\n", + " \n", + " for t in range(1, n_samples):\n", + " # Autoregressive component\n", + " x[t] = ar_coef * x[t-1] + noise_level * np.random.randn()\n", + " y[t] = ar_coef * y[t-1] + noise_level * np.random.randn()\n", + " \n", + " # Coupling X → Y\n", + " if t >= delay_samples and coupling_x_to_y > 0:\n", + " y[t] += coupling_x_to_y * x[t - delay_samples]\n", + " \n", + " # Coupling Y → X\n", + " if t >= delay_samples and coupling_y_to_x > 0:\n", + " x[t] += coupling_y_to_x * y[t - delay_samples]\n", + " \n", + " return x, y\n", + "\n", + "\n", + "# Generate unidirectionally coupled signals (X → Y)\n", + "x_coupled, y_coupled = generate_coupled_signals(\n", + " n_samples=3000,\n", + " coupling_x_to_y=0.5,\n", + " coupling_y_to_x=0.0,\n", + " delay_samples=5,\n", + " seed=42\n", + ")\n", + "\n", + "print(\"Generated coupled signals: X → Y (unidirectional)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e789166", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: Coupled signals and TE asymmetry\n", + "\n", + "# Compute TE in both directions\n", + "te_x_to_y = compute_transfer_entropy(x_coupled, y_coupled, k=1, l=1, tau=5)\n", + "te_y_to_x = compute_transfer_entropy(y_coupled, x_coupled, k=1, l=1, tau=5)\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Top left: X signal\n", + "ax = axes[0, 0]\n", + "ax.plot(x_coupled[:500], color=COLORS[\"signal_1\"], linewidth=0.8)\n", + "ax.set_title(\"Signal X (driver)\", fontsize=12, fontweight=\"bold\")\n", + "ax.set_xlabel(\"Samples\")\n", + "ax.set_ylabel(\"Amplitude\")\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# Top right: Y signal \n", + "ax = axes[0, 1]\n", + "ax.plot(y_coupled[:500], color=COLORS[\"signal_2\"], linewidth=0.8)\n", + "ax.set_title(\"Signal Y (driven by X)\", fontsize=12, fontweight=\"bold\")\n", + "ax.set_xlabel(\"Samples\")\n", + "ax.set_ylabel(\"Amplitude\")\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# Bottom left: Scatter plot\n", + "ax = axes[1, 0]\n", + "ax.scatter(x_coupled[:-5], y_coupled[5:], alpha=0.3, s=5, color=COLORS[\"signal_3\"])\n", + "ax.set_xlabel(\"X(t)\", fontsize=12)\n", + "ax.set_ylabel(\"Y(t+5)\", fontsize=12)\n", + "ax.set_title(\"X predicts future Y (5 samples later)\", fontsize=12, fontweight=\"bold\")\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# Bottom right: TE bar chart\n", + "ax = axes[1, 1]\n", + "bars = ax.bar([\"TE: X → Y\", \"TE: Y → X\"], [te_x_to_y, te_y_to_x], \n", + " color=[COLORS[\"signal_1\"], COLORS[\"signal_2\"]], width=0.5)\n", + "ax.set_ylabel(\"Transfer Entropy (bits)\", fontsize=12)\n", + "ax.set_title(\"TE Correctly Detects Direction!\", fontsize=12, fontweight=\"bold\")\n", + "\n", + "# Add value labels\n", + "for bar, val in zip(bars, [te_x_to_y, te_y_to_x]):\n", + " ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.01, \n", + " f\"{val:.3f}\", ha=\"center\", fontsize=12, fontweight=\"bold\")\n", + "\n", + "ax.set_ylim(0, max(te_x_to_y, te_y_to_x) * 1.3)\n", + "ax.grid(True, alpha=0.3, axis=\"y\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\n📊 Results:\")\n", + "print(f\" TE(X → Y) = {te_x_to_y:.4f} bits ← X DOES influence Y\")\n", + "print(f\" TE(Y → X) = {te_y_to_x:.4f} bits ← Y does NOT influence X\")\n", + "print(f\"\\n✅ TE correctly identifies the unidirectional coupling!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e0222803", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: TE scales with coupling strength\n", + "\n", + "coupling_strengths = np.linspace(0, 0.8, 9)\n", + "te_values = []\n", + "\n", + "for coupling in coupling_strengths:\n", + " x, y = generate_coupled_signals(\n", + " n_samples=3000,\n", + " coupling_x_to_y=coupling,\n", + " coupling_y_to_x=0.0,\n", + " delay_samples=5,\n", + " seed=42\n", + " )\n", + " te = compute_transfer_entropy(x, y, k=1, l=1, tau=5)\n", + " te_values.append(te)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "ax.plot(coupling_strengths, te_values, \"o-\", color=COLORS[\"signal_1\"], \n", + " linewidth=2.5, markersize=10)\n", + "ax.fill_between(coupling_strengths, te_values, alpha=0.3, color=COLORS[\"signal_1\"])\n", + "\n", + "ax.set_xlabel(\"Coupling Strength (X → Y)\", fontsize=12)\n", + "ax.set_ylabel(\"Transfer Entropy (bits)\", fontsize=12)\n", + "ax.set_title(\"TE Increases with Coupling Strength\", fontsize=14, fontweight=\"bold\")\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"💡 TE scales monotonically with the true coupling strength!\")" + ] + }, + { + "cell_type": "markdown", + "id": "6ad1d24f", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 8. Bidirectional Coupling and Net TE\n", + "\n", + "Real systems often have **bidirectional coupling** — both signals influence each other.\n", + "\n", + "TE can detect both directions:\n", + "- $TE_{X \\to Y} > 0$ AND $TE_{Y \\to X} > 0$\n", + "\n", + "### Net Transfer Entropy\n", + "\n", + "$$Net_{X \\to Y} = TE_{X \\to Y} - TE_{Y \\to X}$$\n", + "\n", + "| Net TE | Interpretation |\n", + "|--------|----------------|\n", + "| Positive | X dominates (more influence X→Y) |\n", + "| Negative | Y dominates (more influence Y→X) |\n", + "| ≈ Zero | Balanced bidirectional coupling |" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "cb5753a5", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_net_transfer_entropy(\n", + " x: np.ndarray,\n", + " y: np.ndarray,\n", + " k: int = 1,\n", + " l: int = 1,\n", + " tau: int = 1,\n", + " n_bins: int = 8\n", + ") -> Dict[str, float]:\n", + " \"\"\"\n", + " Compute TE in both directions and net flow.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : np.ndarray\n", + " First signal.\n", + " y : np.ndarray\n", + " Second signal.\n", + " k, l, tau, n_bins : int\n", + " TE parameters.\n", + " \n", + " Returns\n", + " -------\n", + " dict\n", + " Contains 'te_x_to_y', 'te_y_to_x', 'net_te', 'dominant_direction'.\n", + " \"\"\"\n", + " te_x_to_y = compute_transfer_entropy(x, y, k, l, tau, n_bins)\n", + " te_y_to_x = compute_transfer_entropy(y, x, k, l, tau, n_bins)\n", + " net_te = te_x_to_y - te_y_to_x\n", + " \n", + " if net_te > 0.01:\n", + " dominant = \"X → Y\"\n", + " elif net_te < -0.01:\n", + " dominant = \"Y → X\"\n", + " else:\n", + " dominant = \"Balanced\"\n", + " \n", + " return {\n", + " \"te_x_to_y\": te_x_to_y,\n", + " \"te_y_to_x\": te_y_to_x,\n", + " \"net_te\": net_te,\n", + " \"dominant_direction\": dominant\n", + " }\n", + "\n", + "\n", + "# Generate bidirectionally coupled signals\n", + "x_bidir, y_bidir = generate_coupled_signals(\n", + " n_samples=3000,\n", + " coupling_x_to_y=0.5, # X influences Y\n", + " coupling_y_to_x=0.2, # Y also influences X (but less)\n", + " delay_samples=5,\n", + " seed=42\n", + ")\n", + "\n", + "result = compute_net_transfer_entropy(x_bidir, y_bidir, k=1, l=1, tau=5)\n", + "\n", + "print(\"📊 Bidirectional Coupling Analysis:\")\n", + "print(f\" TE(X → Y) = {result['te_x_to_y']:.4f} bits\")\n", + "print(f\" TE(Y → X) = {result['te_y_to_x']:.4f} bits\")\n", + "print(f\" Net TE = {result['net_te']:.4f} bits\")\n", + "print(f\" Dominant = {result['dominant_direction']}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9e696b59", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6: Net TE as function of coupling strength ratio\n", + "\n", + "def generate_simple_coupled_signals(\n", + " n_samples: int,\n", + " coupling_x_to_y: float,\n", + " coupling_y_to_x: float,\n", + " delay: int = 5,\n", + " seed: int = 42\n", + ") -> Tuple[np.ndarray, np.ndarray]:\n", + " \"\"\"\n", + " Generate simple coupled signals without feedback loops.\n", + " Uses independent noise sources with lagged coupling.\n", + " \"\"\"\n", + " rng = np.random.RandomState(seed)\n", + " \n", + " # Independent noise sources\n", + " noise_x = rng.randn(n_samples)\n", + " noise_y = rng.randn(n_samples)\n", + " \n", + " # X = noise + AR component\n", + " x = np.zeros(n_samples)\n", + " for t in range(1, n_samples):\n", + " x[t] = 0.7 * x[t-1] + 0.5 * noise_x[t]\n", + " \n", + " # Y = noise + AR component + coupling from X (lagged)\n", + " y = np.zeros(n_samples)\n", + " for t in range(1, n_samples):\n", + " y[t] = 0.7 * y[t-1] + 0.5 * noise_y[t]\n", + " if t >= delay:\n", + " y[t] += coupling_x_to_y * x[t - delay]\n", + " \n", + " # Now add Y→X coupling (using a separate pass to avoid feedback loop)\n", + " if coupling_y_to_x > 0:\n", + " x_coupled = x.copy()\n", + " for t in range(delay, n_samples):\n", + " x_coupled[t] += coupling_y_to_x * y[t - delay]\n", + " x = x_coupled\n", + " \n", + " return x, y\n", + "\n", + "\n", + "# Symmetric progression of coupling values\n", + "# Each condition has a clear difference from the previous one\n", + "coupling_values = [\n", + " (0.6, 0.0), # Only X→Y (strong)\n", + " (0.6, 0.2), # X→Y dominant\n", + " (0.4, 0.4), # Balanced\n", + " (0.2, 0.6), # Y→X dominant\n", + " (0.0, 0.6), # Only Y→X (strong)\n", + "]\n", + "\n", + "labels = [\"X→Y\\nonly\", \"X→Y\\ndominant\", \"Balanced\", \"Y→X\\ndominant\", \"Y→X\\nonly\"]\n", + "\n", + "net_te_values = []\n", + "te_xy_values = []\n", + "te_yx_values = []\n", + "\n", + "for i, (c_xy, c_yx) in enumerate(coupling_values):\n", + " x, y = generate_simple_coupled_signals(\n", + " n_samples=5000,\n", + " coupling_x_to_y=c_xy,\n", + " coupling_y_to_x=c_yx,\n", + " delay=5,\n", + " seed=42 + i # Different seed per condition\n", + " )\n", + " \n", + " result = compute_net_transfer_entropy(x, y, k=1, l=1, tau=5, n_bins=10)\n", + " te_xy_values.append(result[\"te_x_to_y\"])\n", + " te_yx_values.append(result[\"te_y_to_x\"])\n", + " net_te_values.append(result[\"net_te\"])\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "x_pos = np.arange(len(coupling_values))\n", + "\n", + "# Left: Both TEs as grouped bars\n", + "ax = axes[0]\n", + "width = 0.35\n", + "bars1 = ax.bar(x_pos - width/2, te_xy_values, width, color=COLORS[\"signal_1\"], label=\"TE: X → Y\")\n", + "bars2 = ax.bar(x_pos + width/2, te_yx_values, width, color=COLORS[\"signal_2\"], label=\"TE: Y → X\")\n", + "ax.set_xticks(x_pos)\n", + "ax.set_xticklabels(labels, fontsize=10)\n", + "ax.set_ylabel(\"Transfer Entropy (bits)\", fontsize=12)\n", + "ax.set_title(\"TE in Both Directions\", fontsize=12, fontweight=\"bold\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3, axis=\"y\")\n", + "\n", + "# Right: Net TE\n", + "ax = axes[1]\n", + "colors = [COLORS[\"signal_1\"] if v > 0 else COLORS[\"signal_2\"] for v in net_te_values]\n", + "bars = ax.bar(x_pos, net_te_values, color=colors, alpha=0.7, edgecolor=\"black\", linewidth=1.5)\n", + "ax.axhline(y=0, color=COLORS[\"grid\"], linestyle=\"--\", linewidth=2)\n", + "ax.set_xticks(x_pos)\n", + "ax.set_xticklabels(labels, fontsize=10)\n", + "ax.set_ylabel(\"Net TE (X→Y minus Y→X)\", fontsize=12)\n", + "ax.set_title(\"Net TE Indicates Dominant Direction\", fontsize=12, fontweight=\"bold\")\n", + "ax.grid(True, alpha=0.3, axis=\"y\")\n", + "\n", + "# Add annotations\n", + "ax.annotate(\"X dominates\", xy=(0.1, 0.85), xycoords=\"axes fraction\", fontsize=10, \n", + " color=COLORS[\"signal_1\"], fontweight=\"bold\")\n", + "ax.annotate(\"Y dominates\", xy=(0.7, 0.15), xycoords=\"axes fraction\", fontsize=10,\n", + " color=COLORS[\"signal_2\"], fontweight=\"bold\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print the coupling values used\n", + "print(\"Coupling configurations:\")\n", + "for label, (c_xy, c_yx) in zip(labels, coupling_values):\n", + " print(f\" {label.replace(chr(10), ' ')}: X→Y = {c_xy}, Y→X = {c_yx}\")\n", + "print()\n", + "print(\"💡 Net TE correctly identifies the dominant information flow direction!\")\n", + "print(f\" • X→Y only: Net TE = {net_te_values[0]:+.3f} (positive)\")\n", + "print(f\" • Balanced: Net TE = {net_te_values[2]:+.3f} (near zero)\")\n", + "print(f\" • Y→X only: Net TE = {net_te_values[-1]:+.3f} (negative)\")" + ] + }, + { + "cell_type": "markdown", + "id": "4992c189", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 9. Parameter Selection\n", + "\n", + "Computing TE requires choosing several **embedding parameters**:\n", + "\n", + "| Parameter | Symbol | What it controls |\n", + "|-----------|--------|------------------|\n", + "| **Y history length** | $k$ | How many past values of Y to consider |\n", + "| **X history length** | $l$ | How many past values of X to consider |\n", + "| **Embedding delay** | $\\tau$ | Time spacing between past values |\n", + "| **Number of bins** | `n_bins` | Discretization resolution |\n", + "\n", + "### Guidelines for Parameter Selection\n", + "\n", + "**Embedding delay (τ)**:\n", + "- Should match the expected influence timescale\n", + "- For neural signals: typically 10-100 ms\n", + "- Too short: captures autocorrelation, not coupling\n", + "- Too long: misses the causal relationship\n", + "\n", + "**History lengths (k, l)**:\n", + "- Start simple: k = l = 1\n", + "- Increase if system has longer memory\n", + "- More history = higher dimensionality = need MORE data!\n", + "\n", + "**Number of bins**:\n", + "- Same trade-off as for MI\n", + "- Too few: poor resolution\n", + "- Too many: sparse histograms, high bias\n", + "\n", + "**Critical constraint**: Total dimensions $(k + l + 1) \\times n\\_bins$ should be $\\ll n\\_samples$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "12115800", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 7: Effect of embedding delay (τ) on TE\n", + "\n", + "# Generate signals with known delay\n", + "true_delay = 8 # True coupling delay in samples\n", + "\n", + "x_delayed, y_delayed = generate_coupled_signals(\n", + " n_samples=5000,\n", + " coupling_x_to_y=0.5,\n", + " coupling_y_to_x=0.0,\n", + " delay_samples=true_delay,\n", + " seed=42\n", + ")\n", + "\n", + "# Scan over different τ values\n", + "tau_values = np.arange(1, 20)\n", + "te_vs_tau = []\n", + "\n", + "for tau in tau_values:\n", + " te = compute_transfer_entropy(x_delayed, y_delayed, k=1, l=1, tau=tau, n_bins=8)\n", + " te_vs_tau.append(te)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "\n", + "ax.plot(tau_values, te_vs_tau, \"o-\", color=COLORS[\"signal_1\"], linewidth=2, markersize=8)\n", + "ax.axvline(x=true_delay, color=COLORS[\"signal_4\"], linestyle=\"--\", linewidth=2, \n", + " label=f\"True delay = {true_delay}\")\n", + "ax.set_xlabel(\"Embedding Delay τ (samples)\", fontsize=12)\n", + "ax.set_ylabel(\"Transfer Entropy (bits)\", fontsize=12)\n", + "ax.set_title(\"TE Peaks at the True Coupling Delay\", fontsize=12, fontweight=\"bold\")\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Find peak\n", + "peak_tau = tau_values[np.argmax(te_vs_tau)]\n", + "print(f\"💡 TE peaks at τ = {peak_tau} samples (true delay = {true_delay})\")\n", + "print(\" Scanning τ can help identify the coupling timescale!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d3f9228f", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 8: Effect of history length (k) on TE\n", + "\n", + "k_values = [1, 2, 3, 4, 5]\n", + "te_vs_k = []\n", + "te_vs_k_indep = [] # For independent signals (should stay low)\n", + "\n", + "# Independent signals for comparison\n", + "np.random.seed(123)\n", + "x_ind = np.random.randn(5000)\n", + "y_ind = np.random.randn(5000)\n", + "\n", + "for k in k_values:\n", + " # Coupled signals\n", + " te_coupled = compute_transfer_entropy(x_delayed, y_delayed, k=k, l=1, tau=true_delay, n_bins=6)\n", + " te_vs_k.append(te_coupled)\n", + " \n", + " # Independent signals\n", + " te_ind = compute_transfer_entropy(x_ind, y_ind, k=k, l=1, tau=1, n_bins=6)\n", + " te_vs_k_indep.append(te_ind)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "\n", + "ax.bar(np.array(k_values) - 0.15, te_vs_k, width=0.3, color=COLORS[\"signal_1\"], \n", + " label=\"Coupled signals\", alpha=0.8)\n", + "ax.bar(np.array(k_values) + 0.15, te_vs_k_indep, width=0.3, color=COLORS[\"signal_2\"],\n", + " label=\"Independent signals\", alpha=0.8)\n", + "\n", + "ax.set_xlabel(\"History Length k\", fontsize=12)\n", + "ax.set_ylabel(\"Transfer Entropy (bits)\", fontsize=12)\n", + "ax.set_title(\"Effect of History Length on TE\", fontsize=12, fontweight=\"bold\")\n", + "ax.set_xticks(k_values)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3, axis=\"y\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"💡 Observations:\")\n", + "print(\" • For coupled signals: TE is relatively stable (the relationship exists)\")\n", + "print(\" • For independent signals: TE increases with k (bias from dimensionality!)\")\n", + "print(\" • Higher k = more dimensions = more spurious patterns = higher bias\")" + ] + }, + { + "cell_type": "markdown", + "id": "835496c0", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 10. Bias and Significance Testing\n", + "\n", + "As we saw above, TE suffers from **positive bias**, especially with:\n", + "- Higher dimensions (larger k, l)\n", + "- Fewer bins (undersampled histograms)\n", + "- Limited data\n", + "\n", + "### The Problem\n", + "\n", + "Even for **completely independent** signals, TE will be positive!\n", + "\n", + "This is because we're estimating high-dimensional joint distributions from finite data.\n", + "\n", + "### The Solution: Surrogate Testing\n", + "\n", + "1. **Generate surrogates**: Shuffle the source signal X (destroys X→Y relationship)\n", + "2. **Compute TE on surrogates**: This gives the \"null\" TE (bias only)\n", + "3. **Compare**: Observed TE vs null distribution\n", + "4. **Effective TE**: $TE_{eff} = TE_{observed} - \\mathbb{E}[TE_{null}]$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8de86ea8", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_te_surrogate(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " k: int = 1,\n", + " l: int = 1,\n", + " tau: int = 1,\n", + " n_bins: int = 8,\n", + " seed: Optional[int] = None\n", + ") -> float:\n", + " \"\"\"\n", + " Compute TE with shuffled source signal (null hypothesis).\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " Source signal (will be shuffled).\n", + " y : NDArray[np.float64]\n", + " Target signal (kept intact).\n", + " k : int\n", + " History length for target.\n", + " l : int\n", + " History length for source.\n", + " tau : int\n", + " Embedding delay.\n", + " n_bins : int\n", + " Number of bins for discretization.\n", + " seed : int, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " TE computed on shuffled source (null TE).\n", + " \"\"\"\n", + " rng = np.random.RandomState(seed)\n", + " x_shuffled = rng.permutation(x)\n", + " return compute_transfer_entropy(x_shuffled, y, k, l, tau, n_bins)\n", + "\n", + "\n", + "def te_significance_test(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " k: int = 1,\n", + " l: int = 1,\n", + " tau: int = 1,\n", + " n_bins: int = 8,\n", + " n_surrogates: int = 200,\n", + " seed: Optional[int] = None\n", + ") -> Dict[str, float]:\n", + " \"\"\"\n", + " Test significance of transfer entropy using surrogate distribution.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " Source signal.\n", + " y : NDArray[np.float64]\n", + " Target signal.\n", + " k : int\n", + " History length for target.\n", + " l : int\n", + " History length for source.\n", + " tau : int\n", + " Embedding delay.\n", + " n_bins : int\n", + " Number of bins.\n", + " n_surrogates : int\n", + " Number of surrogates for null distribution.\n", + " seed : int, optional\n", + " Random seed.\n", + " \n", + " Returns\n", + " -------\n", + " dict\n", + " Contains: te_observed, te_effective, null_mean, null_std, p_value\n", + " \"\"\"\n", + " # Observed TE\n", + " te_observed = compute_transfer_entropy(x, y, k, l, tau, n_bins)\n", + " \n", + " # Generate null distribution\n", + " rng = np.random.RandomState(seed)\n", + " null_te = []\n", + " for i in range(n_surrogates):\n", + " te_null = compute_te_surrogate(x, y, k, l, tau, n_bins, seed=rng.randint(100000))\n", + " null_te.append(te_null)\n", + " \n", + " null_te = np.array(null_te)\n", + " null_mean = np.mean(null_te)\n", + " null_std = np.std(null_te)\n", + " \n", + " # Effective TE (bias-corrected)\n", + " te_effective = te_observed - null_mean\n", + " \n", + " # P-value (one-tailed: observed > null)\n", + " p_value = np.mean(null_te >= te_observed)\n", + " \n", + " return {\n", + " \"te_observed\": te_observed,\n", + " \"te_effective\": te_effective,\n", + " \"null_mean\": null_mean,\n", + " \"null_std\": null_std,\n", + " \"null_distribution\": null_te,\n", + " \"p_value\": p_value\n", + " }\n", + "\n", + "\n", + "print(\"✓ TE significance testing functions defined\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ada2358", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 9: Significance testing example\n", + "\n", + "# Test on coupled signals\n", + "result_coupled = te_significance_test(\n", + " x_delayed, y_delayed, \n", + " k=1, l=1, tau=true_delay, n_bins=8,\n", + " n_surrogates=200, seed=42\n", + ")\n", + "\n", + "# Test on independent signals\n", + "result_indep = te_significance_test(\n", + " x_ind, y_ind,\n", + " k=1, l=1, tau=1, n_bins=8,\n", + " n_surrogates=200, seed=42\n", + ")\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Coupled signals\n", + "ax = axes[0]\n", + "ax.hist(result_coupled[\"null_distribution\"], bins=30, color=COLORS[\"signal_2\"], \n", + " alpha=0.7, edgecolor=\"white\", label=\"Null distribution\")\n", + "ax.axvline(result_coupled[\"te_observed\"], color=COLORS[\"signal_1\"], linewidth=3, \n", + " label=f\"Observed TE = {result_coupled['te_observed']:.3f}\")\n", + "ax.axvline(result_coupled[\"null_mean\"], color=COLORS[\"grid\"], linestyle=\"--\", \n", + " linewidth=2, label=f\"Null mean = {result_coupled['null_mean']:.3f}\")\n", + "ax.set_xlabel(\"Transfer Entropy (bits)\", fontsize=12)\n", + "ax.set_ylabel(\"Count\", fontsize=12)\n", + "ax.set_title(f\"Coupled Signals (p = {result_coupled['p_value']:.3f})\", \n", + " fontsize=12, fontweight=\"bold\")\n", + "ax.legend(fontsize=9)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# Right: Independent signals\n", + "ax = axes[1]\n", + "ax.hist(result_indep[\"null_distribution\"], bins=30, color=COLORS[\"signal_2\"], \n", + " alpha=0.7, edgecolor=\"white\", label=\"Null distribution\")\n", + "ax.axvline(result_indep[\"te_observed\"], color=COLORS[\"signal_1\"], linewidth=3,\n", + " label=f\"Observed TE = {result_indep['te_observed']:.3f}\")\n", + "ax.axvline(result_indep[\"null_mean\"], color=COLORS[\"grid\"], linestyle=\"--\",\n", + " linewidth=2, label=f\"Null mean = {result_indep['null_mean']:.3f}\")\n", + "ax.set_xlabel(\"Transfer Entropy (bits)\", fontsize=12)\n", + "ax.set_ylabel(\"Count\", fontsize=12)\n", + "ax.set_title(f\"Independent Signals (p = {result_indep['p_value']:.3f})\", \n", + " fontsize=12, fontweight=\"bold\")\n", + "ax.legend(fontsize=9)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n💡 Results:\")\n", + "print(f\" Coupled signals: TE_eff = {result_coupled['te_effective']:.4f} bits, p = {result_coupled['p_value']:.4f} ✓ Significant!\")\n", + "print(f\" Independent signals: TE_eff = {result_indep['te_effective']:.4f} bits, p = {result_indep['p_value']:.4f} ✗ Not significant\")" + ] + }, + { + "cell_type": "markdown", + "id": "7d24ff6b", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 11. TE for Neural Signals\n", + "\n", + "When applying TE to EEG/neural data, consider:\n", + "\n", + "### Preprocessing\n", + "- **Band-pass filter** to frequency of interest\n", + "- TE on raw broadband can be noisy\n", + "- Often compute TE on amplitude envelope or phase\n", + "\n", + "### Typical Parameters for EEG\n", + "| Parameter | Typical Range | Rationale |\n", + "|-----------|---------------|-----------|\n", + "| τ | 10-50 ms | Expected neural delay |\n", + "| k, l | 1-3 | Short memory for oscillations |\n", + "| n_bins | 6-10 | Balance bias and resolution |\n", + "\n", + "### Frequency-Specific TE\n", + "Different frequency bands may show different information flow patterns:\n", + "- **Theta** (4-8 Hz): Memory, navigation\n", + "- **Alpha** (8-13 Hz): Attention, inhibition\n", + "- **Beta** (13-30 Hz): Motor, coordination\n", + "- **Gamma** (30+ Hz): Perception, binding" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "65c55b8f", + "metadata": {}, + "outputs": [], + "source": [ + "from scipy.signal import butter, filtfilt\n", + "\n", + "def compute_te_bandlimited(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: Tuple[float, float],\n", + " k: int = 1,\n", + " l: int = 1,\n", + " tau_ms: float = 20.0,\n", + " n_bins: int = 8\n", + ") -> float:\n", + " \"\"\"\n", + " Compute TE on band-limited signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " Source signal.\n", + " y : NDArray[np.float64]\n", + " Target signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple\n", + " Frequency band (low_freq, high_freq) in Hz.\n", + " k : int\n", + " History length for target.\n", + " l : int\n", + " History length for source.\n", + " tau_ms : float\n", + " Embedding delay in milliseconds.\n", + " n_bins : int\n", + " Number of bins.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Transfer entropy on band-limited signals.\n", + " \"\"\"\n", + " # Design bandpass filter\n", + " low, high = band\n", + " nyq = fs / 2\n", + " b, a = butter(4, [low / nyq, high / nyq], btype=\"band\")\n", + " \n", + " # Filter signals\n", + " x_filt = filtfilt(b, a, x)\n", + " y_filt = filtfilt(b, a, y)\n", + " \n", + " # Convert tau from ms to samples\n", + " tau_samples = max(1, int(tau_ms * fs / 1000))\n", + " \n", + " return compute_transfer_entropy(x_filt, y_filt, k, l, tau_samples, n_bins)\n", + "\n", + "\n", + "# Visualization 10: Band-specific TE\n", + "\n", + "# Generate coupled neural-like signals\n", + "fs = 250 # Hz\n", + "duration = 20 # seconds\n", + "n_samples = int(fs * duration)\n", + "\n", + "np.random.seed(42)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Create broadband \"neural\" signals with directional coupling in alpha band\n", + "x_neural = np.random.randn(n_samples)\n", + "y_neural = np.random.randn(n_samples)\n", + "\n", + "# Add alpha oscillation to x\n", + "alpha_freq = 10 # Hz\n", + "x_neural += 2 * np.sin(2 * np.pi * alpha_freq * t)\n", + "\n", + "# Couple x to y with delay (in alpha band)\n", + "delay_samples = int(0.02 * fs) # 20 ms delay\n", + "for i in range(delay_samples, n_samples):\n", + " y_neural[i] += 0.5 * x_neural[i - delay_samples]\n", + "\n", + "# Define frequency bands\n", + "bands = {\n", + " \"Theta (4-8 Hz)\": (4, 8),\n", + " \"Alpha (8-13 Hz)\": (8, 13),\n", + " \"Beta (13-30 Hz)\": (13, 30),\n", + " \"Gamma (30-50 Hz)\": (30, 50)\n", + "}\n", + "\n", + "band_colors = [COLORS[\"theta\"], COLORS[\"alpha\"], COLORS[\"beta\"], COLORS[\"gamma\"]]\n", + "\n", + "te_per_band = {}\n", + "for band_name, band_range in bands.items():\n", + " te = compute_te_bandlimited(x_neural, y_neural, fs, band_range, \n", + " k=1, l=1, tau_ms=20.0, n_bins=8)\n", + " te_per_band[band_name] = te\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "\n", + "band_names = list(te_per_band.keys())\n", + "te_values = list(te_per_band.values())\n", + "\n", + "bars = ax.bar(band_names, te_values, color=band_colors, alpha=0.8, edgecolor=\"black\")\n", + "ax.set_ylabel(\"Transfer Entropy (bits)\", fontsize=12)\n", + "ax.set_title(\"Frequency-Specific TE (X → Y)\", fontsize=12, fontweight=\"bold\")\n", + "ax.grid(True, alpha=0.3, axis=\"y\")\n", + "\n", + "# Highlight alpha (where coupling exists)\n", + "bars[1].set_edgecolor(COLORS[\"signal_4\"])\n", + "bars[1].set_linewidth(3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"💡 TE is highest in Alpha band — where the coupling exists!\")\n", + "print(\" This demonstrates frequency-specific information flow.\")" + ] + }, + { + "cell_type": "markdown", + "id": "4bf6dc98", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 12. TE Connectivity Matrix\n", + "\n", + "For multi-channel analysis, we compute TE between all pairs of channels.\n", + "\n", + "**Key difference from symmetric measures**: The TE matrix is **NOT symmetric**!\n", + "\n", + "$$M[i, j] = TE_{i \\to j} \\neq TE_{j \\to i} = M[j, i]$$\n", + "\n", + "### Interpretation\n", + "- **Rows**: Information *senders* (sources)\n", + "- **Columns**: Information *receivers* (targets)\n", + "- High row sum → channel broadcasts to many\n", + "- High column sum → channel receives from many\n", + "\n", + "### Net Flow Matrix\n", + "$$Net[i, j] = TE_{i \\to j} - TE_{j \\to i}$$\n", + "\n", + "This is **antisymmetric**: $Net[i, j] = -Net[j, i]$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "973b3e33", + "metadata": {}, + "outputs": [], + "source": [ + "def compute_te_matrix(\n", + " data: NDArray[np.float64],\n", + " k: int = 1,\n", + " l: int = 1,\n", + " tau: int = 1,\n", + " n_bins: int = 8\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute directed TE matrix for multi-channel data.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Multi-channel data of shape (n_channels, n_samples).\n", + " k : int\n", + " History length for target.\n", + " l : int\n", + " History length for source.\n", + " tau : int\n", + " Embedding delay.\n", + " n_bins : int\n", + " Number of bins.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " TE matrix of shape (n_channels, n_channels).\n", + " Entry [i, j] = TE from channel i to channel j.\n", + " Diagonal is NaN.\n", + " \"\"\"\n", + " n_channels = data.shape[0]\n", + " te_matrix = np.full((n_channels, n_channels), np.nan)\n", + " \n", + " for i in range(n_channels):\n", + " for j in range(n_channels):\n", + " if i != j:\n", + " te_matrix[i, j] = compute_transfer_entropy(\n", + " data[i], data[j], k, l, tau, n_bins\n", + " )\n", + " \n", + " return te_matrix\n", + "\n", + "\n", + "def compute_net_te_matrix(te_matrix: NDArray[np.float64]) -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute net TE matrix from directed TE matrix.\n", + " \n", + " Parameters\n", + " ----------\n", + " te_matrix : NDArray[np.float64]\n", + " Directed TE matrix from compute_te_matrix.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Net TE matrix: Net[i,j] = TE[i,j] - TE[j,i].\n", + " Antisymmetric matrix.\n", + " \"\"\"\n", + " return te_matrix - te_matrix.T\n", + "\n", + "\n", + "# Visualization 11: TE matrix example\n", + "\n", + "# Create 5 channels with known connectivity structure\n", + "n_channels = 5\n", + "n_samples = 3000\n", + "channel_names = [\"Ch1\", \"Ch2\", \"Ch3\", \"Ch4\", \"Ch5\"]\n", + "\n", + "np.random.seed(42)\n", + "data = np.random.randn(n_channels, n_samples)\n", + "\n", + "# Add autoregressive structure\n", + "for ch in range(n_channels):\n", + " for t in range(1, n_samples):\n", + " data[ch, t] += 0.7 * data[ch, t-1]\n", + "\n", + "# Add directional connections:\n", + "# Ch1 → Ch2 (strong)\n", + "# Ch1 → Ch3 (moderate) \n", + "# Ch4 → Ch5 (strong)\n", + "delay = 5\n", + "coupling = 0.6\n", + "\n", + "for t in range(delay, n_samples):\n", + " data[1, t] += coupling * data[0, t - delay] # Ch1 → Ch2\n", + " data[2, t] += 0.3 * data[0, t - delay] # Ch1 → Ch3\n", + " data[4, t] += coupling * data[3, t - delay] # Ch4 → Ch5\n", + "\n", + "# Compute TE matrix\n", + "te_mat = compute_te_matrix(data, k=1, l=1, tau=delay, n_bins=8)\n", + "net_te_mat = compute_net_te_matrix(te_mat)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left: Directed TE matrix\n", + "ax = axes[0]\n", + "im = ax.imshow(te_mat, cmap=\"viridis\", aspect=\"equal\")\n", + "ax.set_xticks(range(n_channels))\n", + "ax.set_yticks(range(n_channels))\n", + "ax.set_xticklabels(channel_names)\n", + "ax.set_yticklabels(channel_names)\n", + "ax.set_xlabel(\"Target (receiver)\", fontsize=12)\n", + "ax.set_ylabel(\"Source (sender)\", fontsize=12)\n", + "ax.set_title(\"Directed TE Matrix\", fontsize=12, fontweight=\"bold\")\n", + "plt.colorbar(im, ax=ax, label=\"TE (bits)\")\n", + "\n", + "# Right: Net TE matrix\n", + "ax = axes[1]\n", + "vmax = np.nanmax(np.abs(net_te_mat))\n", + "im = ax.imshow(net_te_mat, cmap=\"RdBu_r\", aspect=\"equal\", vmin=-vmax, vmax=vmax)\n", + "ax.set_xticks(range(n_channels))\n", + "ax.set_yticks(range(n_channels))\n", + "ax.set_xticklabels(channel_names)\n", + "ax.set_yticklabels(channel_names)\n", + "ax.set_xlabel(\"Channel j\", fontsize=12)\n", + "ax.set_ylabel(\"Channel i\", fontsize=12)\n", + "ax.set_title(\"Net TE Matrix (antisymmetric)\", fontsize=12, fontweight=\"bold\")\n", + "plt.colorbar(im, ax=ax, label=\"Net TE (i→j)\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"💡 The TE matrix correctly identifies:\")\n", + "print(\" • Strong Ch1 → Ch2 connection\")\n", + "print(\" • Moderate Ch1 → Ch3 connection\")\n", + "print(\" • Strong Ch4 → Ch5 connection\")\n", + "print(\" Note: The matrix is NOT symmetric!\")" + ] + }, + { + "cell_type": "markdown", + "id": "4c3a44f2", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 13. TE for Hyperscanning\n", + "\n", + "This is **THE** key application for this workshop!\n", + "\n", + "### The Central Question\n", + "> **Who leads the interaction?**\n", + "\n", + "### Inter-Brain Transfer Entropy\n", + "- $TE_{P1 \\to P2}$: Information flow from Participant 1 → Participant 2\n", + "- $TE_{P2 \\to P1}$: Information flow from Participant 2 → Participant 1\n", + "- **Net TE**: Reveals the dominant direction\n", + "\n", + "### Applications in Social Neuroscience\n", + "| Scenario | What TE reveals |\n", + "|----------|-----------------|\n", + "| Leader-follower dynamics | Who initiates actions |\n", + "| Teacher-student | Direction of knowledge transfer |\n", + "| Therapist-patient | Interpersonal influence |\n", + "| Parent-child | Regulatory influence direction |\n", + "\n", + "### Advantages of TE for Hyperscanning\n", + "- ✓ **Directed** (unlike PLV, coherence, MI)\n", + "- ✓ **Captures nonlinear** influences\n", + "- ✓ **Time-resolved** analysis possible" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "33cd861b", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 12: Hyperscanning TE simulation\n", + "\n", + "def compute_te_hyperscanning(\n", + " data_p1: NDArray[np.float64],\n", + " data_p2: NDArray[np.float64],\n", + " k: int = 1,\n", + " l: int = 1,\n", + " tau: int = 1,\n", + " n_bins: int = 8\n", + ") -> Dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute inter-brain TE for hyperscanning.\n", + " \n", + " Parameters\n", + " ----------\n", + " data_p1 : NDArray[np.float64]\n", + " Participant 1 data, shape (n_channels, n_samples).\n", + " data_p2 : NDArray[np.float64]\n", + " Participant 2 data, shape (n_channels, n_samples).\n", + " k, l : int\n", + " History lengths.\n", + " tau : int\n", + " Embedding delay.\n", + " n_bins : int\n", + " Number of bins.\n", + " \n", + " Returns\n", + " -------\n", + " dict\n", + " Contains: te_p1_to_p2, te_p2_to_p1, net_te matrices.\n", + " \"\"\"\n", + " n_ch1 = data_p1.shape[0]\n", + " n_ch2 = data_p2.shape[0]\n", + " \n", + " te_p1_to_p2 = np.zeros((n_ch1, n_ch2))\n", + " te_p2_to_p1 = np.zeros((n_ch2, n_ch1))\n", + " \n", + " for i in range(n_ch1):\n", + " for j in range(n_ch2):\n", + " te_p1_to_p2[i, j] = compute_transfer_entropy(\n", + " data_p1[i], data_p2[j], k, l, tau, n_bins\n", + " )\n", + " te_p2_to_p1[j, i] = compute_transfer_entropy(\n", + " data_p2[j], data_p1[i], k, l, tau, n_bins\n", + " )\n", + " \n", + " # Net TE: average across all pairs\n", + " mean_p1_to_p2 = np.mean(te_p1_to_p2)\n", + " mean_p2_to_p1 = np.mean(te_p2_to_p1)\n", + " net_te = mean_p1_to_p2 - mean_p2_to_p1\n", + " \n", + " return {\n", + " \"te_p1_to_p2\": te_p1_to_p2,\n", + " \"te_p2_to_p1\": te_p2_to_p1,\n", + " \"mean_p1_to_p2\": mean_p1_to_p2,\n", + " \"mean_p2_to_p1\": mean_p2_to_p1,\n", + " \"net_te\": net_te,\n", + " \"leader\": \"P1\" if net_te > 0 else \"P2\"\n", + " }\n", + "\n", + "\n", + "# Simulate hyperscanning scenario: P1 leads, P2 follows\n", + "n_channels = 3\n", + "n_samples = 4000\n", + "channel_names = [\"Fz\", \"Cz\", \"Pz\"]\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# P1 generates independent signals\n", + "data_p1 = np.random.randn(n_channels, n_samples)\n", + "for ch in range(n_channels):\n", + " for t in range(1, n_samples):\n", + " data_p1[ch, t] += 0.7 * data_p1[ch, t-1]\n", + "\n", + "# P2 is influenced by P1 with some delay\n", + "delay = 8\n", + "coupling = 0.5\n", + "\n", + "data_p2 = np.random.randn(n_channels, n_samples)\n", + "for ch in range(n_channels):\n", + " for t in range(1, n_samples):\n", + " data_p2[ch, t] += 0.7 * data_p2[ch, t-1]\n", + " # Add influence from corresponding P1 channel\n", + " for t in range(delay, n_samples):\n", + " data_p2[ch, t] += coupling * data_p1[ch, t - delay]\n", + "\n", + "# Compute inter-brain TE\n", + "hyper_result = compute_te_hyperscanning(data_p1, data_p2, k=1, l=1, tau=delay, n_bins=8)\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n", + "\n", + "# Left: P1 → P2\n", + "ax = axes[0]\n", + "im = ax.imshow(hyper_result[\"te_p1_to_p2\"], cmap=\"Blues\", aspect=\"equal\")\n", + "ax.set_xticks(range(n_channels))\n", + "ax.set_yticks(range(n_channels))\n", + "ax.set_xticklabels([f\"P2-{ch}\" for ch in channel_names])\n", + "ax.set_yticklabels([f\"P1-{ch}\" for ch in channel_names])\n", + "ax.set_title(\"TE: P1 → P2\", fontsize=12, fontweight=\"bold\", color=COLORS[\"signal_1\"])\n", + "plt.colorbar(im, ax=ax)\n", + "\n", + "# Middle: P2 → P1\n", + "ax = axes[1]\n", + "im = ax.imshow(hyper_result[\"te_p2_to_p1\"], cmap=\"Reds\", aspect=\"equal\")\n", + "ax.set_xticks(range(n_channels))\n", + "ax.set_yticks(range(n_channels))\n", + "ax.set_xticklabels([f\"P1-{ch}\" for ch in channel_names])\n", + "ax.set_yticklabels([f\"P2-{ch}\" for ch in channel_names])\n", + "ax.set_title(\"TE: P2 → P1\", fontsize=12, fontweight=\"bold\", color=COLORS[\"signal_2\"])\n", + "plt.colorbar(im, ax=ax)\n", + "\n", + "# Right: Summary bar chart\n", + "ax = axes[2]\n", + "bars = ax.bar([\"P1 → P2\", \"P2 → P1\"], \n", + " [hyper_result[\"mean_p1_to_p2\"], hyper_result[\"mean_p2_to_p1\"]],\n", + " color=[COLORS[\"signal_1\"], COLORS[\"signal_2\"]], alpha=0.8)\n", + "ax.set_ylabel(\"Mean TE (bits)\", fontsize=12)\n", + "ax.set_title(f\"Net TE = {hyper_result['net_te']:.3f}\\nLeader: {hyper_result['leader']}\", \n", + " fontsize=12, fontweight=\"bold\")\n", + "ax.grid(True, alpha=0.3, axis=\"y\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"💡 Inter-brain TE analysis:\")\n", + "print(f\" P1 → P2: {hyper_result['mean_p1_to_p2']:.4f} bits (mean)\")\n", + "print(f\" P2 → P1: {hyper_result['mean_p2_to_p1']:.4f} bits (mean)\")\n", + "print(f\" Net TE: {hyper_result['net_te']:.4f} → {hyper_result['leader']} leads the interaction!\")" + ] + }, + { + "cell_type": "markdown", + "id": "8363129d", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 14. Limitations and Cautions\n", + "\n", + "### ⚠️ Critical Limitations\n", + "\n", + "| Limitation | Description | Mitigation |\n", + "|------------|-------------|------------|\n", + "| **Data hungry** | TE needs MORE data than MI | Use shorter histories (k, l = 1) |\n", + "| **Parameter sensitive** | Results depend on k, l, τ, n_bins | Report sensitivity analysis |\n", + "| **NOT causality** | TE measures *prediction*, not causation | Cannot replace experiments |\n", + "| **Stationarity** | Assumes stable statistics | Use time-resolved TE |\n", + "| **Confounds** | Common driver creates apparent TE | Control for shared inputs |\n", + "\n", + "### The Confound Problem\n", + "\n", + "If a hidden variable **Z** drives both **X** and **Y**:\n", + "\n", + "```\n", + " Z\n", + " / \\\n", + " ↓ ↓\n", + " X Y\n", + "```\n", + "\n", + "Then TE will detect X→Y even if X doesn't actually cause Y!\n", + "\n", + "> **TE is NOT causation** — it's predictive information flow." + ] + }, + { + "cell_type": "markdown", + "id": "3b02559c", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 15. Hands-On Exercises\n", + "\n", + "### Exercise 1: Delay Detection\n", + "Create coupled signals with a known delay (e.g., 15 samples). Use TE scanning over τ to recover the true delay.\n", + "\n", + "```python\n", + "# Your code here\n", + "true_delay = 15\n", + "# Generate signals...\n", + "# Scan τ from 1 to 25...\n", + "# Find the peak...\n", + "```\n", + "\n", + "### Exercise 2: Bidirectional Coupling Analysis\n", + "Generate signals with asymmetric bidirectional coupling:\n", + "- X → Y with strength 0.6\n", + "- Y → X with strength 0.2\n", + "\n", + "Compute Net TE and verify it correctly identifies X as the dominant driver.\n", + "\n", + "### Exercise 3: Significance Testing\n", + "1. Generate independent signals\n", + "2. Compute TE (will be biased positive)\n", + "3. Run surrogate test — is it significant?\n", + "4. Compare with coupled signals" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "75449836", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise Solutions\n", + "\n", + "# Exercise 1: Delay Detection\n", + "print(\"=\" * 50)\n", + "print(\"Exercise 1: Delay Detection\")\n", + "print(\"=\" * 50)\n", + "\n", + "true_delay_ex = 15\n", + "x_ex, y_ex = generate_coupled_signals(\n", + " n_samples=4000,\n", + " coupling_x_to_y=0.5,\n", + " delay_samples=true_delay_ex,\n", + " seed=123\n", + ")\n", + "\n", + "tau_range_ex = np.arange(1, 26)\n", + "te_scan = [compute_transfer_entropy(x_ex, y_ex, k=1, l=1, tau=t, n_bins=8) \n", + " for t in tau_range_ex]\n", + "\n", + "detected_delay = tau_range_ex[np.argmax(te_scan)]\n", + "print(f\"True delay: {true_delay_ex} samples\")\n", + "print(f\"Detected delay (max TE): {detected_delay} samples\")\n", + "print(f\"Match: {'✓' if detected_delay == true_delay_ex else '✗'}\")\n", + "\n", + "# Exercise 2: Asymmetric Bidirectional Coupling\n", + "print(\"\\n\" + \"=\" * 50)\n", + "print(\"Exercise 2: Asymmetric Bidirectional Coupling\")\n", + "print(\"=\" * 50)\n", + "\n", + "x_bidir_ex, y_bidir_ex = generate_simple_coupled_signals(\n", + " n_samples=5000,\n", + " coupling_x_to_y=0.6,\n", + " coupling_y_to_x=0.2,\n", + " delay=5,\n", + " seed=456\n", + ")\n", + "\n", + "result_bidir = compute_net_transfer_entropy(x_bidir_ex, y_bidir_ex, k=1, l=1, tau=5, n_bins=8)\n", + "print(f\"TE X→Y: {result_bidir['te_x_to_y']:.4f} bits\")\n", + "print(f\"TE Y→X: {result_bidir['te_y_to_x']:.4f} bits\")\n", + "print(f\"Net TE: {result_bidir['net_te']:.4f}\")\n", + "print(f\"Dominant: {'X (correct!)' if result_bidir['net_te'] > 0 else 'Y'}\")\n", + "\n", + "# Exercise 3: Significance Testing\n", + "print(\"\\n\" + \"=\" * 50)\n", + "print(\"Exercise 3: Significance Testing\")\n", + "print(\"=\" * 50)\n", + "\n", + "np.random.seed(789)\n", + "x_indep_ex = np.random.randn(3000)\n", + "y_indep_ex = np.random.randn(3000)\n", + "\n", + "result_sig = te_significance_test(x_indep_ex, y_indep_ex, k=1, l=1, tau=1, \n", + " n_bins=8, n_surrogates=100, seed=42)\n", + "print(f\"Independent signals:\")\n", + "print(f\" Observed TE: {result_sig['te_observed']:.4f}\")\n", + "print(f\" Null mean: {result_sig['null_mean']:.4f}\")\n", + "print(f\" Effective TE: {result_sig['te_effective']:.4f}\")\n", + "print(f\" P-value: {result_sig['p_value']:.4f}\")\n", + "print(f\" Significant at α=0.05: {'No ✓' if result_sig['p_value'] > 0.05 else 'Yes ✗'}\")" + ] + }, + { + "cell_type": "markdown", + "id": "c165d985", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 16. Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "| Concept | Description |\n", + "|---------|-------------|\n", + "| **Transfer Entropy** | Measures *directed* information flow |\n", + "| **Formula** | $TE_{X \\to Y} = I(Y_t; X_{past} \\| Y_{past})$ |\n", + "| **Asymmetric** | $TE_{X \\to Y} \\neq TE_{Y \\to X}$ |\n", + "| **Granger Causality** | Information-theoretic version (nonlinear) |\n", + "| **Embedding** | Requires k, l (history) and τ (delay) |\n", + "| **Bias** | Always use surrogate testing! |\n", + "| **Net TE** | $TE_{X \\to Y} - TE_{Y \\to X}$ indicates dominant direction |\n", + "\n", + "### For Hyperscanning\n", + "\n", + "Transfer Entropy is particularly valuable because it reveals **who leads the interaction**:\n", + "- Compute TE in both directions\n", + "- Net TE > 0 → Participant 1 leads\n", + "- Net TE < 0 → Participant 2 leads\n", + "- Time-resolved TE → Track leadership dynamics\n", + "\n", + "### Critical Reminder\n", + "\n", + "> **TE is NOT causation** — it measures predictive information, not true causal influence. Confounds can create spurious TE!\n", + "\n", + "---\n", + "\n", + "## Discussion Questions\n", + "\n", + "1. You find $TE_{P1 \\to P2} = 0.15$ bits and $TE_{P2 \\to P1} = 0.08$ bits during a cooperative task. What does this tell you about the interaction?\n", + "\n", + "2. TE at τ = 50ms is higher than at τ = 100ms. What might this indicate about neural communication?\n", + "\n", + "3. How would you respond to: \"TE is just fancy correlation — you're not proving causation\"?\n", + "\n", + "4. Your analysis shows P1→P2 dominance in alpha but P2→P1 dominance in theta. What might this mean?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/E_hyperscanning_context/E01_graph_theory_basics.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/E_hyperscanning_context/E01_graph_theory_basics.ipynb new file mode 100644 index 0000000..19351da --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/E_hyperscanning_context/E01_graph_theory_basics.ipynb @@ -0,0 +1,2535 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "a028b195", + "metadata": {}, + "outputs": [], + "source": [ + "# Standard imports\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from numpy.typing import NDArray\n", + "from typing import Tuple, Optional, Dict, Any, List\n", + "\n", + "# Local imports\n", + "import sys\n", + "sys.path.append(\"../../..\")\n", + "from src.colors import COLORS\n", + "\n", + "# Configure matplotlib\n", + "plt.rcParams.update({\n", + " 'figure.figsize': (10, 6),\n", + " 'font.size': 11,\n", + " 'axes.titlesize': 12,\n", + " 'axes.labelsize': 11,\n", + " 'xtick.labelsize': 10,\n", + " 'ytick.labelsize': 10,\n", + " 'legend.fontsize': 10,\n", + " 'axes.spines.top': False,\n", + " 'axes.spines.right': False,\n", + " 'axes.grid': False,\n", + " 'figure.facecolor': 'white',\n", + " 'axes.facecolor': 'white'\n", + "})\n", + "\n", + "print(\"Imports successful!\")" + ] + }, + { + "cell_type": "markdown", + "id": "0c553807", + "metadata": {}, + "source": [ + "---\n", + "## Section 1: Introduction — From Matrices to Networks\n", + "\n", + "In the previous notebooks, we learned to compute **connectivity matrices** — square matrices where each entry represents the coupling strength between two brain regions or channels. These matrices contain rich information about brain network organization, but they can be overwhelming: a 64-channel EEG yields a 64×64 matrix with over 2,000 unique connections!\n", + "\n", + "How do we **summarize** such complex data? How do we identify the most important regions? How do we compare network organization across conditions or groups?\n", + "\n", + "**Graph theory** provides the answer. It's a mathematical framework for analyzing networks — and connectivity matrices are networks in disguise! A connectivity matrix is simply a different way of representing a graph:\n", + "\n", + "- **Nodes** (vertices) = EEG channels or brain regions\n", + "- **Edges** (connections) = significant connectivity values\n", + "- **Edge weights** = connectivity strength\n", + "\n", + "Graph theory offers a rich toolkit of **metrics** that summarize network properties:\n", + "\n", + "- **Node metrics**: How important is each brain region? (hub identification)\n", + "- **Local metrics**: Are neighboring regions clustered together? (functional modules)\n", + "- **Global metrics**: How efficiently does information flow through the network?\n", + "- **Topology**: Is the network random, regular, or \"small-world\"?\n", + "\n", + "For **hyperscanning**, graph theory becomes even more powerful. We can create a **dual-brain network** combining channels from both participants. This unified graph reveals not just within-brain organization, but also how the two brains connect to each other — with \"social hub\" regions that bridge the inter-brain gap.\n", + "\n", + "> 💡 **Key insight**: Graph theory transforms connectivity matrices into interpretable network summaries. Instead of examining thousands of connection values, we extract a handful of meaningful metrics that characterize network organization." + ] + }, + { + "cell_type": "markdown", + "id": "2aa07d4d", + "metadata": {}, + "source": [ + "---\n", + "## Section 2: Graphs — Nodes and Edges\n", + "\n", + "A **graph** $G = (V, E)$ consists of:\n", + "\n", + "- **V** = set of **vertices** (nodes)\n", + "- **E** = set of **edges** (connections between nodes)\n", + "\n", + "For EEG connectivity analysis:\n", + "- Nodes = electrodes or channels\n", + "- Edges = significant connectivity between channel pairs\n", + "\n", + "### The Adjacency Matrix\n", + "\n", + "A graph can be represented as an **adjacency matrix** $A$:\n", + "\n", + "$$A_{ij} = \\begin{cases} 1 & \\text{if edge exists between } i \\text{ and } j \\\\ 0 & \\text{otherwise} \\end{cases}$$\n", + "\n", + "This should look familiar — our connectivity matrices ARE adjacency matrices (with weights)!\n", + "\n", + "### Types of Graphs\n", + "\n", + "| Type | Description | Adjacency Property |\n", + "|------|-------------|--------------------|\n", + "| **Undirected** | Edges have no direction | $A$ is symmetric: $A_{ij} = A_{ji}$ |\n", + "| **Directed** | Edges have direction | $A$ may be asymmetric |\n", + "| **Binary** | Edges present (1) or absent (0) | $A_{ij} \\in \\{0, 1\\}$ |\n", + "| **Weighted** | Edges have continuous strengths | $A_{ij} \\in \\mathbb{R}$ |\n", + "\n", + "Most connectivity metrics (PLV, coherence, correlation) produce **weighted undirected** graphs.\n", + "\n", + "Transfer entropy produces **weighted directed** graphs.\n", + "\n", + "Let's visualize these concepts!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7e71c067", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 1: Simple graph and its adjacency matrix\n", + "\n", + "def draw_node(\n", + " ax: plt.Axes,\n", + " x: float,\n", + " y: float,\n", + " label: str,\n", + " color: str,\n", + " size: float = 0.15\n", + ") -> None:\n", + " \"\"\"Draw a node (circle with label).\"\"\"\n", + " circle = plt.Circle((x, y), size, color=color, ec='white', lw=2, zorder=3)\n", + " ax.add_patch(circle)\n", + " ax.text(x, y, label, ha='center', va='center', fontsize=12, \n", + " fontweight='bold', color='white', zorder=4)\n", + "\n", + "\n", + "def draw_edge(\n", + " ax: plt.Axes,\n", + " x1: float,\n", + " y1: float,\n", + " x2: float,\n", + " y2: float,\n", + " color: str = COLORS[\"grid\"],\n", + " width: float = 2\n", + ") -> None:\n", + " \"\"\"Draw an edge (line between nodes).\"\"\"\n", + " ax.plot([x1, x2], [y1, y2], color=color, lw=width, zorder=1)\n", + "\n", + "\n", + "# Create a simple 6-node graph\n", + "n_nodes = 6\n", + "node_labels = [\"A\", \"B\", \"C\", \"D\", \"E\", \"F\"]\n", + "\n", + "# Positions in a circle\n", + "angles = np.linspace(0, 2 * np.pi, n_nodes, endpoint=False) - np.pi / 2\n", + "radius = 1.0\n", + "positions = np.column_stack([radius * np.cos(angles), radius * np.sin(angles)])\n", + "\n", + "# Define edges (adjacency)\n", + "# Binary adjacency matrix\n", + "adjacency = np.array([\n", + " [0, 1, 0, 0, 1, 1], # A connected to B, E, F\n", + " [1, 0, 1, 0, 0, 1], # B connected to A, C, F\n", + " [0, 1, 0, 1, 0, 0], # C connected to B, D\n", + " [0, 0, 1, 0, 1, 0], # D connected to C, E\n", + " [1, 0, 0, 1, 0, 0], # E connected to A, D\n", + " [1, 1, 0, 0, 0, 0], # F connected to A, B\n", + "])\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Left: Graph visualization\n", + "ax1 = axes[0]\n", + "\n", + "# Draw edges first\n", + "for i in range(n_nodes):\n", + " for j in range(i + 1, n_nodes):\n", + " if adjacency[i, j] == 1:\n", + " draw_edge(ax1, positions[i, 0], positions[i, 1],\n", + " positions[j, 0], positions[j, 1],\n", + " color=COLORS[\"grid\"], width=2)\n", + "\n", + "# Draw nodes\n", + "for i, (pos, label) in enumerate(zip(positions, node_labels)):\n", + " draw_node(ax1, pos[0], pos[1], label, COLORS[\"signal_1\"])\n", + "\n", + "ax1.set_xlim(-1.5, 1.5)\n", + "ax1.set_ylim(-1.5, 1.5)\n", + "ax1.set_aspect('equal')\n", + "ax1.axis('off')\n", + "ax1.set_title(\"Graph G = (V, E)\", fontsize=14, fontweight='bold')\n", + "\n", + "# Add annotations\n", + "ax1.text(0, -1.4, f\"V = {{{', '.join(node_labels)}}}\", \n", + " ha='center', fontsize=10)\n", + "\n", + "# Right: Adjacency matrix\n", + "ax2 = axes[1]\n", + "\n", + "im = ax2.imshow(adjacency, cmap='Blues', vmin=0, vmax=1)\n", + "ax2.set_xticks(range(n_nodes))\n", + "ax2.set_yticks(range(n_nodes))\n", + "ax2.set_xticklabels(node_labels)\n", + "ax2.set_yticklabels(node_labels)\n", + "ax2.set_xlabel(\"To node\")\n", + "ax2.set_ylabel(\"From node\")\n", + "ax2.set_title(\"Adjacency Matrix A\", fontsize=14, fontweight='bold')\n", + "\n", + "# Add values in cells\n", + "for i in range(n_nodes):\n", + " for j in range(n_nodes):\n", + " color = 'white' if adjacency[i, j] == 1 else 'black'\n", + " ax2.text(j, i, str(int(adjacency[i, j])), ha='center', va='center',\n", + " fontsize=11, color=color, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ A graph with 6 nodes and 7 edges, represented as an adjacency matrix\")\n", + "print(f\" - Nodes (V): {node_labels}\")\n", + "print(f\" - Number of edges: {int(adjacency.sum() / 2)} (matrix symmetric, divide by 2)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "079065cf", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 2: Four types of graphs\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 10))\n", + "\n", + "# Small 4-node examples\n", + "n_small = 4\n", + "small_labels = [\"1\", \"2\", \"3\", \"4\"]\n", + "small_angles = np.linspace(0, 2 * np.pi, n_small, endpoint=False) - np.pi / 2\n", + "small_pos = np.column_stack([0.8 * np.cos(small_angles), 0.8 * np.sin(small_angles)])\n", + "\n", + "# Define four graph types\n", + "graphs = {\n", + " \"Binary Undirected\": {\n", + " \"matrix\": np.array([[0, 1, 0, 1],\n", + " [1, 0, 1, 0],\n", + " [0, 1, 0, 1],\n", + " [1, 0, 1, 0]]),\n", + " \"directed\": False,\n", + " \"description\": \"Edges: present (1) or absent (0)\\nSymmetric matrix\"\n", + " },\n", + " \"Binary Directed\": {\n", + " \"matrix\": np.array([[0, 1, 0, 0],\n", + " [0, 0, 1, 0],\n", + " [0, 0, 0, 1],\n", + " [1, 0, 0, 0]]),\n", + " \"directed\": True,\n", + " \"description\": \"Edges have direction\\nMay be asymmetric\"\n", + " },\n", + " \"Weighted Undirected\": {\n", + " \"matrix\": np.array([[0.0, 0.8, 0.0, 0.3],\n", + " [0.8, 0.0, 0.5, 0.0],\n", + " [0.0, 0.5, 0.0, 0.9],\n", + " [0.3, 0.0, 0.9, 0.0]]),\n", + " \"directed\": False,\n", + " \"description\": \"Edges have continuous weights\\nSymmetric matrix\"\n", + " },\n", + " \"Weighted Directed\": {\n", + " \"matrix\": np.array([[0.0, 0.7, 0.0, 0.0],\n", + " [0.2, 0.0, 0.6, 0.0],\n", + " [0.0, 0.3, 0.0, 0.8],\n", + " [0.5, 0.0, 0.4, 0.0]]),\n", + " \"directed\": True,\n", + " \"description\": \"Weights + direction\\nAsymmetric possible\"\n", + " }\n", + "}\n", + "\n", + "for idx, (title, info) in enumerate(graphs.items()):\n", + " ax = axes.flat[idx]\n", + " matrix = info[\"matrix\"]\n", + " directed = info[\"directed\"]\n", + " \n", + " # Draw edges\n", + " for i in range(n_small):\n", + " for j in range(n_small):\n", + " if matrix[i, j] > 0:\n", + " # Skip duplicates for undirected\n", + " if not directed and j <= i:\n", + " continue\n", + " \n", + " weight = matrix[i, j]\n", + " # Line width proportional to weight for weighted graphs\n", + " lw = 3 * weight if \"Weighted\" in title else 2.5\n", + " \n", + " if directed:\n", + " # Draw arrow for directed\n", + " dx = small_pos[j, 0] - small_pos[i, 0]\n", + " dy = small_pos[j, 1] - small_pos[i, 1]\n", + " # Shorten arrow to not overlap with node\n", + " length = np.sqrt(dx**2 + dy**2)\n", + " scale = (length - 0.25) / length\n", + " ax.annotate(\"\", \n", + " xy=(small_pos[i, 0] + dx * scale, small_pos[i, 1] + dy * scale),\n", + " xytext=(small_pos[i, 0] + dx * 0.15, small_pos[i, 1] + dy * 0.15),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"signal_2\"],\n", + " lw=lw, mutation_scale=15),\n", + " zorder=1)\n", + " else:\n", + " draw_edge(ax, small_pos[i, 0], small_pos[i, 1],\n", + " small_pos[j, 0], small_pos[j, 1],\n", + " color=COLORS[\"signal_2\"], width=lw)\n", + " \n", + " # Draw nodes\n", + " for i, (pos, label) in enumerate(zip(small_pos, small_labels)):\n", + " draw_node(ax, pos[0], pos[1], label, COLORS[\"signal_1\"], size=0.12)\n", + " \n", + " ax.set_xlim(-1.3, 1.3)\n", + " ax.set_ylim(-1.3, 1.3)\n", + " ax.set_aspect('equal')\n", + " ax.axis('off')\n", + " ax.set_title(title, fontsize=13, fontweight='bold', pad=10)\n", + " \n", + " # Add description\n", + " ax.text(0, -1.15, info[\"description\"], ha='center', va='top',\n", + " fontsize=9, style='italic', color=COLORS[\"grid\"],)\n", + "\n", + "plt.suptitle(\"Types of Graphs\", fontsize=15, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Four graph types:\")\n", + "print(\" - Binary: edges are 0 or 1\")\n", + "print(\" - Weighted: edges have continuous strengths\")\n", + "print(\" - Undirected: A is symmetric (PLV, coherence, correlation)\")\n", + "print(\" - Directed: A may be asymmetric (transfer entropy)\")" + ] + }, + { + "cell_type": "markdown", + "id": "88c0fa22", + "metadata": {}, + "source": [ + "---\n", + "## Section 3: From Connectivity Matrix to Graph\n", + "\n", + "Connectivity matrices are **weighted adjacency matrices** — each entry represents the strength of connection between two channels. But many graph metrics require **binary** graphs (edges present or absent).\n", + "\n", + "### Thresholding: Weighted → Binary\n", + "\n", + "To convert a weighted matrix to binary, we **threshold** — keep only connections above a certain value:\n", + "\n", + "$$A_{ij}^{binary} = \\begin{cases} 1 & \\text{if } |W_{ij}| > \\theta \\\\ 0 & \\text{otherwise} \\end{cases}$$\n", + "\n", + "### Thresholding Strategies\n", + "\n", + "| Strategy | Description | Use Case |\n", + "|----------|-------------|----------|\n", + "| **Absolute** | Keep edges above fixed value | When threshold has meaning (e.g., PLV > 0.5) |\n", + "| **Proportional** | Keep top X% of edges | Comparing networks with equal density |\n", + "| **Significance** | Keep statistically significant edges | When p-values available |\n", + "\n", + "### Trade-offs\n", + "\n", + "- **High threshold** → Sparse graph → May lose important structure\n", + "- **Low threshold** → Dense graph → May include noise/spurious connections\n", + "\n", + "**Proportional thresholding** is particularly useful for group comparisons — it ensures all networks have the same **density** (proportion of possible edges that exist).\n", + "\n", + "$$\\text{Density} = \\frac{\\text{actual edges}}{\\text{possible edges}} = \\frac{\\sum_{i \\neq j} A_{ij}}{n(n-1)}$$" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "498aeb56", + "metadata": {}, + "outputs": [], + "source": [ + "# Functions for thresholding connectivity matrices\n", + "\n", + "def threshold_matrix_absolute(\n", + " matrix: NDArray[np.float64],\n", + " threshold: float\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Convert weighted matrix to binary using absolute threshold.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.float64]\n", + " Weighted connectivity matrix.\n", + " threshold : float\n", + " Minimum absolute value to keep edge.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \"\"\"\n", + " binary = (np.abs(matrix) > threshold).astype(np.float64)\n", + " np.fill_diagonal(binary, 0) # No self-connections\n", + " return binary\n", + "\n", + "\n", + "def threshold_matrix_proportional(\n", + " matrix: NDArray[np.float64],\n", + " density: float\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Convert weighted matrix to binary keeping top proportion of edges.\n", + " \n", + " Parameters\n", + " ----------\n", + " matrix : NDArray[np.float64]\n", + " Weighted connectivity matrix.\n", + " density : float\n", + " Proportion of edges to keep (0-1).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Binary adjacency matrix with specified density.\n", + " \"\"\"\n", + " n = matrix.shape[0]\n", + " # Get upper triangle values (excluding diagonal)\n", + " triu_indices = np.triu_indices(n, k=1)\n", + " values = np.abs(matrix[triu_indices])\n", + " \n", + " # Find threshold for desired density\n", + " n_edges_to_keep = int(np.ceil(density * len(values)))\n", + " if n_edges_to_keep == 0:\n", + " return np.zeros_like(matrix)\n", + " \n", + " sorted_values = np.sort(values)[::-1] # Descending\n", + " threshold = sorted_values[min(n_edges_to_keep - 1, len(sorted_values) - 1)]\n", + " \n", + " # Apply threshold\n", + " binary = (np.abs(matrix) >= threshold).astype(np.float64)\n", + " np.fill_diagonal(binary, 0)\n", + " return binary\n", + "\n", + "\n", + "def get_graph_density(adjacency: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute graph density (proportion of possible edges that exist).\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Density in range [0, 1].\n", + " \"\"\"\n", + " n = adjacency.shape[0]\n", + " n_possible = n * (n - 1) # Exclude diagonal\n", + " n_actual = np.sum(adjacency > 0) - np.trace(adjacency > 0) # Exclude diagonal\n", + " return n_actual / n_possible if n_possible > 0 else 0.0\n", + "\n", + "\n", + "print(\"✓ Thresholding functions defined:\")\n", + "print(\" - threshold_matrix_absolute(): fixed threshold\")\n", + "print(\" - threshold_matrix_proportional(): keep top X% of edges\")\n", + "print(\" - get_graph_density(): compute proportion of edges\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e0de6b61", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 3: Thresholding process\n", + "\n", + "# Create a simulated weighted connectivity matrix\n", + "np.random.seed(42)\n", + "n_channels = 8\n", + "channel_labels = [f\"Ch{i+1}\" for i in range(n_channels)]\n", + "\n", + "# Generate random symmetric connectivity matrix\n", + "weighted_matrix = np.random.rand(n_channels, n_channels) * 0.6 + 0.2\n", + "weighted_matrix = (weighted_matrix + weighted_matrix.T) / 2 # Symmetrize\n", + "np.fill_diagonal(weighted_matrix, 0)\n", + "\n", + "# Apply threshold\n", + "threshold_value = 0.5\n", + "binary_matrix = threshold_matrix_absolute(weighted_matrix, threshold_value)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "# Panel 1: Weighted matrix\n", + "ax1 = axes[0]\n", + "im1 = ax1.imshow(weighted_matrix, cmap='Blues', vmin=0, vmax=1)\n", + "ax1.set_xticks(range(n_channels))\n", + "ax1.set_yticks(range(n_channels))\n", + "ax1.set_xticklabels(channel_labels, fontsize=8)\n", + "ax1.set_yticklabels(channel_labels, fontsize=8)\n", + "ax1.set_title(\"Weighted Connectivity\\nMatrix\", fontsize=12, fontweight='bold')\n", + "plt.colorbar(im1, ax=ax1, shrink=0.8, label=\"Connectivity\")\n", + "\n", + "# Panel 2: Binary matrix\n", + "ax2 = axes[1]\n", + "im2 = ax2.imshow(binary_matrix, cmap='Blues', vmin=0, vmax=1)\n", + "ax2.set_xticks(range(n_channels))\n", + "ax2.set_yticks(range(n_channels))\n", + "ax2.set_xticklabels(channel_labels, fontsize=8)\n", + "ax2.set_yticklabels(channel_labels, fontsize=8)\n", + "ax2.set_title(f\"Binary (threshold = {threshold_value})\", fontsize=12, fontweight='bold')\n", + "\n", + "# Add arrow between panels\n", + "fig.text(0.37, 0.5, \"→\", fontsize=30, ha='center', va='center', \n", + " color=COLORS[\"signal_4\"], fontweight='bold')\n", + "fig.text(0.37, 0.35, f\"threshold\\n> {threshold_value}\", fontsize=10, ha='center', va='top',\n", + " color=COLORS[\"text\"])\n", + "\n", + "# Panel 3: Graph visualization\n", + "ax3 = axes[2]\n", + "angles_8 = np.linspace(0, 2 * np.pi, n_channels, endpoint=False) - np.pi / 2\n", + "pos_8 = np.column_stack([np.cos(angles_8), np.sin(angles_8)])\n", + "\n", + "# Draw edges\n", + "for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " if binary_matrix[i, j] == 1:\n", + " draw_edge(ax3, pos_8[i, 0], pos_8[i, 1],\n", + " pos_8[j, 0], pos_8[j, 1],\n", + " color=COLORS[\"signal_2\"], width=1.5)\n", + "\n", + "# Draw nodes\n", + "for i, (pos, label) in enumerate(zip(pos_8, channel_labels)):\n", + " draw_node(ax3, pos[0], pos[1], str(i+1), COLORS[\"signal_1\"], size=0.12)\n", + "\n", + "ax3.set_xlim(-1.4, 1.4)\n", + "ax3.set_ylim(-1.4, 1.4)\n", + "ax3.set_aspect('equal')\n", + "ax3.axis('off')\n", + "ax3.set_title(\"Binary Graph\", fontsize=12, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "density = get_graph_density(binary_matrix)\n", + "print(f\"✓ Thresholding at {threshold_value}:\")\n", + "print(f\" - Original: weighted matrix with values in [{weighted_matrix.min():.2f}, {weighted_matrix.max():.2f}]\")\n", + "print(f\" - Result: binary graph with {int(binary_matrix.sum()/2)} edges\")\n", + "print(f\" - Graph density: {density:.2%}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ced9df2b", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: Effect of threshold on network density\n", + "\n", + "thresholds = [0.3, 0.5, 0.7]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(12, 4))\n", + "\n", + "for ax, thresh in zip(axes, thresholds):\n", + " # Apply threshold\n", + " binary = threshold_matrix_absolute(weighted_matrix, thresh)\n", + " density = get_graph_density(binary)\n", + " n_edges = int(binary.sum() / 2)\n", + " \n", + " # Draw graph\n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " if binary[i, j] == 1:\n", + " draw_edge(ax, pos_8[i, 0], pos_8[i, 1],\n", + " pos_8[j, 0], pos_8[j, 1],\n", + " color=COLORS[\"signal_2\"], width=2)\n", + " \n", + " for i, pos in enumerate(pos_8):\n", + " draw_node(ax, pos[0], pos[1], str(i+1), COLORS[\"signal_1\"], size=0.12)\n", + " \n", + " ax.set_xlim(-1.4, 1.4)\n", + " ax.set_ylim(-1.4, 1.4)\n", + " ax.set_aspect('equal')\n", + " ax.axis('off')\n", + " ax.set_title(f\"Threshold = {thresh}\\n{n_edges} edges, density = {density:.1%}\", \n", + " fontsize=11, fontweight='bold')\n", + "\n", + "plt.suptitle(\"Effect of Threshold on Network Density\", fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Threshold affects network structure:\")\n", + "print(\" - Low threshold (0.3): Dense network, may include noise\")\n", + "print(\" - Medium threshold (0.5): Balanced\")\n", + "print(\" - High threshold (0.7): Sparse network, only strongest connections\")" + ] + }, + { + "cell_type": "markdown", + "id": "49dc3fac", + "metadata": {}, + "source": [ + "---\n", + "## Section 4: Node Metrics — Degree and Strength\n", + "\n", + "Now that we can create graphs from connectivity matrices, how do we characterize **individual nodes**? Which brain regions are most connected?\n", + "\n", + "### Degree (Binary Graphs)\n", + "\n", + "The **degree** $k_i$ of a node is the number of edges connected to it:\n", + "\n", + "$$k_i = \\sum_{j} A_{ij}$$\n", + "\n", + "- High degree = many connections = potential **hub**\n", + "- Low degree = peripheral node\n", + "\n", + "### Strength (Weighted Graphs)\n", + "\n", + "The **strength** $s_i$ of a node is the sum of edge weights:\n", + "\n", + "$$s_i = \\sum_{j} W_{ij}$$\n", + "\n", + "- High strength = strong total connectivity\n", + "- More informative than degree for weighted networks\n", + "\n", + "### Directed Graphs: In-Degree and Out-Degree\n", + "\n", + "For directed graphs (like transfer entropy networks):\n", + "\n", + "- **In-degree**: edges coming IN → $k_i^{in} = \\sum_j A_{ji}$\n", + "- **Out-degree**: edges going OUT → $k_i^{out} = \\sum_j A_{ij}$\n", + "\n", + "A node with high out-degree is an **information broadcaster** (influences many others).\n", + "A node with high in-degree is an **information receiver** (influenced by many others)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ae073b34", + "metadata": {}, + "outputs": [], + "source": [ + "# Functions for node metrics\n", + "\n", + "def compute_degree(adjacency: NDArray[np.float64]) -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute degree of each node in a binary graph.\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Degree of each node.\n", + " \"\"\"\n", + " return np.sum(adjacency > 0, axis=1).astype(np.float64)\n", + "\n", + "\n", + "def compute_strength(weighted_matrix: NDArray[np.float64]) -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute strength of each node in a weighted graph.\n", + " \n", + " Parameters\n", + " ----------\n", + " weighted_matrix : NDArray[np.float64]\n", + " Weighted adjacency matrix.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Strength of each node (sum of edge weights).\n", + " \"\"\"\n", + " return np.sum(np.abs(weighted_matrix), axis=1)\n", + "\n", + "\n", + "def compute_in_out_degree(\n", + " adjacency: NDArray[np.float64]\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute in-degree and out-degree for a directed graph.\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Directed adjacency matrix (A[i,j] = edge from i to j).\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.float64], NDArray[np.float64]]\n", + " (in_degree, out_degree) arrays.\n", + " \"\"\"\n", + " out_degree = np.sum(adjacency > 0, axis=1).astype(np.float64) # Row sum\n", + " in_degree = np.sum(adjacency > 0, axis=0).astype(np.float64) # Column sum\n", + " return in_degree, out_degree\n", + "\n", + "\n", + "print(\"✓ Node metric functions defined:\")\n", + "print(\" - compute_degree(): number of edges per node\")\n", + "print(\" - compute_strength(): sum of edge weights per node\")\n", + "print(\" - compute_in_out_degree(): for directed graphs\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7822b53e", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: Node degree and strength\n", + "\n", + "# Use a network with clear hub structure\n", + "np.random.seed(123)\n", + "n_net = 8\n", + "\n", + "# Create a network with one hub (node 0 connected to all others)\n", + "hub_matrix = np.zeros((n_net, n_net))\n", + "# Hub node (0) connects to everyone\n", + "for i in range(1, n_net):\n", + " strength = np.random.uniform(0.5, 0.9)\n", + " hub_matrix[0, i] = strength\n", + " hub_matrix[i, 0] = strength\n", + "\n", + "# Add some random connections between non-hub nodes\n", + "for i in range(1, n_net):\n", + " for j in range(i + 1, n_net):\n", + " if np.random.rand() < 0.3:\n", + " strength = np.random.uniform(0.3, 0.6)\n", + " hub_matrix[i, j] = strength\n", + " hub_matrix[j, i] = strength\n", + "\n", + "# Compute metrics\n", + "binary_hub = (hub_matrix > 0).astype(float)\n", + "degrees = compute_degree(binary_hub)\n", + "strengths = compute_strength(hub_matrix)\n", + "\n", + "# Visualization\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Left: Network with node sizes by degree\n", + "ax1 = axes[0]\n", + "angles_net = np.linspace(0, 2 * np.pi, n_net, endpoint=False) - np.pi / 2\n", + "pos_net = np.column_stack([np.cos(angles_net), np.sin(angles_net)])\n", + "\n", + "# Draw edges with width proportional to weight\n", + "for i in range(n_net):\n", + " for j in range(i + 1, n_net):\n", + " if hub_matrix[i, j] > 0:\n", + " lw = 1 + 3 * hub_matrix[i, j]\n", + " alpha = 0.3 + 0.5 * hub_matrix[i, j]\n", + " ax1.plot([pos_net[i, 0], pos_net[j, 0]], \n", + " [pos_net[i, 1], pos_net[j, 1]],\n", + " color=COLORS[\"signal_2\"], lw=lw, alpha=alpha, zorder=1)\n", + "\n", + "# Draw nodes sized by degree\n", + "max_degree = degrees.max()\n", + "for i, (pos, deg) in enumerate(zip(pos_net, degrees)):\n", + " size = 0.08 + 0.12 * (deg / max_degree)\n", + " color = COLORS[\"signal_4\"] if deg == max_degree else COLORS[\"signal_1\"]\n", + " draw_node(ax1, pos[0], pos[1], str(i+1), color, size=size)\n", + "\n", + "ax1.set_xlim(-1.5, 1.5)\n", + "ax1.set_ylim(-1.5, 1.5)\n", + "ax1.set_aspect('equal')\n", + "ax1.axis('off')\n", + "ax1.set_title(\"Node Size ∝ Degree\\n(Hub highlighted in gold)\", fontsize=12, fontweight='bold')\n", + "\n", + "# Right: Bar chart of degree and strength\n", + "ax2 = axes[1]\n", + "x = np.arange(n_net)\n", + "width = 0.35\n", + "\n", + "bars1 = ax2.bar(x - width/2, degrees, width, label='Degree', color=COLORS[\"signal_1\"])\n", + "bars2 = ax2.bar(x + width/2, strengths, width, label='Strength', color=COLORS[\"signal_2\"])\n", + "\n", + "ax2.set_xlabel('Node')\n", + "ax2.set_ylabel('Value')\n", + "ax2.set_title('Degree vs Strength per Node', fontsize=12, fontweight='bold')\n", + "ax2.set_xticks(x)\n", + "ax2.set_xticklabels([str(i+1) for i in range(n_net)])\n", + "ax2.legend()\n", + "\n", + "# Highlight hub\n", + "ax2.axvspan(-0.5, 0.5, alpha=0.2, color=COLORS[\"signal_4\"], label='Hub')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Node 1 is a HUB:\")\n", + "print(f\" - Highest degree: {int(degrees[0])} connections (vs avg {degrees[1:].mean():.1f} for others)\")\n", + "print(f\" - Highest strength: {strengths[0]:.2f} (vs avg {strengths[1:].mean():.2f} for others)\")" + ] + }, + { + "cell_type": "markdown", + "id": "4bd4049a", + "metadata": {}, + "source": [ + "---\n", + "## Section 5: Clustering Coefficient — Local Structure\n", + "\n", + "Degree tells us how many connections a node has, but not how those neighbors relate to **each other**. The **clustering coefficient** answers: *Are a node's neighbors also connected to each other?*\n", + "\n", + "### Local Clustering Coefficient\n", + "\n", + "For node $i$ with degree $k_i$:\n", + "\n", + "$$C_i = \\frac{\\text{triangles around } i}{\\text{possible triangles around } i} = \\frac{2 \\cdot t_i}{k_i(k_i - 1)}$$\n", + "\n", + "where $t_i$ is the number of edges between neighbors of $i$.\n", + "\n", + "- **$C_i = 1$**: All neighbors connected (clique)\n", + "- **$C_i = 0$**: No neighbors connected (star)\n", + "\n", + "### Intuition\n", + "\n", + "- **High clustering**: \"Friends know each other\" — local cohesion, functional modules\n", + "- **Low clustering**: Star-like structure — node bridges separate groups\n", + "\n", + "### Global Clustering\n", + "\n", + "Average across all nodes:\n", + "\n", + "$$C = \\frac{1}{n} \\sum_i C_i$$\n", + "\n", + "Brain networks typically show **high clustering** — indicating modular organization with local processing units." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d4357b29", + "metadata": {}, + "outputs": [], + "source": [ + "# Functions for clustering coefficient\n", + "\n", + "def compute_clustering_coefficient(\n", + " adjacency: NDArray[np.float64]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute local clustering coefficient for each node.\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Clustering coefficient for each node.\n", + " \"\"\"\n", + " n = adjacency.shape[0]\n", + " A = (adjacency > 0).astype(float)\n", + " np.fill_diagonal(A, 0)\n", + " \n", + " clustering = np.zeros(n)\n", + " \n", + " for i in range(n):\n", + " neighbors = np.where(A[i, :] > 0)[0]\n", + " k = len(neighbors)\n", + " \n", + " if k < 2:\n", + " clustering[i] = 0.0\n", + " continue\n", + " \n", + " # Count triangles: edges between neighbors\n", + " triangles = 0\n", + " for ni in range(len(neighbors)):\n", + " for nj in range(ni + 1, len(neighbors)):\n", + " if A[neighbors[ni], neighbors[nj]] > 0:\n", + " triangles += 1\n", + " \n", + " # Possible triangles = k choose 2\n", + " possible = k * (k - 1) / 2\n", + " clustering[i] = triangles / possible\n", + " \n", + " return clustering\n", + "\n", + "\n", + "def compute_global_clustering(adjacency: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute global clustering coefficient (average over nodes).\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Global clustering coefficient.\n", + " \"\"\"\n", + " local_cc = compute_clustering_coefficient(adjacency)\n", + " # Only average over nodes with degree >= 2\n", + " valid = compute_degree(adjacency) >= 2\n", + " if np.sum(valid) == 0:\n", + " return 0.0\n", + " return np.mean(local_cc[valid])\n", + "\n", + "\n", + "print(\"✓ Clustering functions defined:\")\n", + "print(\" - compute_clustering_coefficient(): local clustering per node\")\n", + "print(\" - compute_global_clustering(): average clustering\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d548d8f9", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6: High vs low clustering comparison\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Create two contrasting networks\n", + "n_demo = 6\n", + "angles_demo = np.linspace(0, 2 * np.pi, n_demo, endpoint=False) - np.pi / 2\n", + "pos_demo = np.column_stack([0.9 * np.cos(angles_demo), 0.9 * np.sin(angles_demo)])\n", + "\n", + "# High clustering: Fully connected (clique)\n", + "high_cluster = np.ones((n_demo, n_demo))\n", + "np.fill_diagonal(high_cluster, 0)\n", + "\n", + "# Low clustering: Star network (hub connected to all, no other connections)\n", + "low_cluster = np.zeros((n_demo, n_demo))\n", + "for i in range(1, n_demo):\n", + " low_cluster[0, i] = 1\n", + " low_cluster[i, 0] = 1\n", + "\n", + "networks = [\n", + " (\"High Clustering (Clique)\", high_cluster, COLORS[\"signal_3\"]),\n", + " (\"Low Clustering (Star)\", low_cluster, COLORS[\"signal_2\"])\n", + "]\n", + "\n", + "for ax, (title, adj, edge_color) in zip(axes, networks):\n", + " # Draw edges\n", + " for i in range(n_demo):\n", + " for j in range(i + 1, n_demo):\n", + " if adj[i, j] > 0:\n", + " ax.plot([pos_demo[i, 0], pos_demo[j, 0]],\n", + " [pos_demo[i, 1], pos_demo[j, 1]],\n", + " color=edge_color, lw=2, zorder=1)\n", + " \n", + " # Draw nodes\n", + " for i, pos in enumerate(pos_demo):\n", + " draw_node(ax, pos[0], pos[1], str(i+1), COLORS[\"signal_1\"], size=0.12)\n", + " \n", + " # Compute and display clustering\n", + " cc = compute_clustering_coefficient(adj)\n", + " global_cc = compute_global_clustering(adj)\n", + " \n", + " ax.set_xlim(-1.4, 1.4)\n", + " ax.set_ylim(-1.4, 1.4)\n", + " ax.set_aspect('equal')\n", + " ax.axis('off')\n", + " ax.set_title(f\"{title}\\nGlobal C = {global_cc:.2f}\", fontsize=12, fontweight='bold')\n", + " \n", + " # Show triangles count\n", + " n_triangles = int(np.sum(adj @ adj * adj) / 6) # Each triangle counted 6 times\n", + " ax.text(0, -1.25, f\"Triangles: {n_triangles}\", ha='center', fontsize=10)\n", + "\n", + "plt.suptitle(\"Clustering Coefficient Comparison\", fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Clustering comparison:\")\n", + "print(\" - Clique: Every neighbor connected → C = 1.0 (maximum)\")\n", + "print(\" - Star: No neighbors connected to each other → C = 0.0 (hub has no triangles)\")" + ] + }, + { + "cell_type": "markdown", + "id": "27adb0dd", + "metadata": {}, + "source": [ + "---\n", + "## Section 6: Path Length and Efficiency\n", + "\n", + "While clustering measures **local** structure, we also need metrics for **global** integration. How efficiently can information travel across the entire network?\n", + "\n", + "### Shortest Path\n", + "\n", + "The **shortest path** $d(i,j)$ between nodes $i$ and $j$ is the minimum number of edges to traverse.\n", + "\n", + "### Characteristic Path Length\n", + "\n", + "Average shortest path across all node pairs:\n", + "\n", + "$$L = \\frac{1}{n(n-1)} \\sum_{i \\neq j} d(i,j)$$\n", + "\n", + "- **Low $L$**: Information travels quickly → integrated network\n", + "- **High $L$**: Information travels slowly → segregated network\n", + "\n", + "**Problem**: Disconnected nodes have $d(i,j) = \\infty$, making $L = \\infty$!\n", + "\n", + "### Global Efficiency\n", + "\n", + "Solution: Use the **harmonic mean** of inverse distances:\n", + "\n", + "$$E = \\frac{1}{n(n-1)} \\sum_{i \\neq j} \\frac{1}{d(i,j)}$$\n", + "\n", + "- Handles disconnected nodes naturally ($1/\\infty = 0$)\n", + "- **High $E$**: Efficient network (short paths)\n", + "- **Low $E$**: Inefficient network (long paths or disconnected)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8762cb98", + "metadata": {}, + "outputs": [], + "source": [ + "# Functions for path length and efficiency\n", + "\n", + "def compute_shortest_paths(adjacency: NDArray[np.float64]) -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute shortest path lengths between all node pairs using Floyd-Warshall.\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Matrix of shortest path lengths (np.inf for disconnected pairs).\n", + " \"\"\"\n", + " n = adjacency.shape[0]\n", + " A = (adjacency > 0).astype(float)\n", + " np.fill_diagonal(A, 0)\n", + " \n", + " # Initialize distance matrix\n", + " dist = np.full((n, n), np.inf)\n", + " dist[A > 0] = 1 # Direct connections have distance 1\n", + " np.fill_diagonal(dist, 0)\n", + " \n", + " # Floyd-Warshall algorithm\n", + " for k in range(n):\n", + " for i in range(n):\n", + " for j in range(n):\n", + " if dist[i, k] + dist[k, j] < dist[i, j]:\n", + " dist[i, j] = dist[i, k] + dist[k, j]\n", + " \n", + " return dist\n", + "\n", + "\n", + "def compute_characteristic_path_length(adjacency: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute characteristic path length (average shortest path).\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Characteristic path length (np.inf if graph is disconnected).\n", + " \"\"\"\n", + " dist = compute_shortest_paths(adjacency)\n", + " n = adjacency.shape[0]\n", + " \n", + " # Exclude diagonal\n", + " mask = ~np.eye(n, dtype=bool)\n", + " finite_dist = dist[mask]\n", + " \n", + " if np.any(np.isinf(finite_dist)):\n", + " return np.inf\n", + " \n", + " return np.mean(finite_dist)\n", + "\n", + "\n", + "def compute_global_efficiency(adjacency: NDArray[np.float64]) -> float:\n", + " \"\"\"\n", + " Compute global efficiency (harmonic mean of inverse path lengths).\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Global efficiency in range [0, 1].\n", + " \"\"\"\n", + " dist = compute_shortest_paths(adjacency)\n", + " n = adjacency.shape[0]\n", + " \n", + " # Inverse distances (0 for infinite distances)\n", + " with np.errstate(divide='ignore'):\n", + " inv_dist = 1.0 / dist\n", + " inv_dist[np.isinf(inv_dist)] = 0\n", + " np.fill_diagonal(inv_dist, 0)\n", + " \n", + " # Average over all pairs\n", + " return np.sum(inv_dist) / (n * (n - 1))\n", + "\n", + "\n", + "print(\"✓ Path and efficiency functions defined:\")\n", + "print(\" - compute_shortest_paths(): all pairwise shortest paths\")\n", + "print(\" - compute_characteristic_path_length(): average path length\")\n", + "print(\" - compute_global_efficiency(): harmonic mean of inverse paths\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4e12ee96", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 7: Shortest path example\n", + "\n", + "# Create a chain-like network with one shortcut\n", + "n_path = 8\n", + "chain_adj = np.zeros((n_path, n_path))\n", + "\n", + "# Chain: 1-2-3-4-5-6-7-8\n", + "for i in range(n_path - 1):\n", + " chain_adj[i, i+1] = 1\n", + " chain_adj[i+1, i] = 1\n", + "\n", + "# Add shortcut: 1-5\n", + "chain_adj[0, 4] = 1\n", + "chain_adj[4, 0] = 1\n", + "\n", + "# Compute paths\n", + "dist_matrix = compute_shortest_paths(chain_adj)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Left: Network with path highlighted\n", + "ax1 = axes[0]\n", + "# Linear layout\n", + "pos_chain = np.column_stack([np.linspace(-1.2, 1.2, n_path), np.zeros(n_path)])\n", + "# Add some vertical offset for visual interest\n", + "pos_chain[3, 1] = 0.3\n", + "pos_chain[4, 1] = 0.3\n", + "pos_chain[0, 1] = -0.2\n", + "pos_chain[7, 1] = -0.2\n", + "\n", + "# Draw all edges\n", + "for i in range(n_path):\n", + " for j in range(i + 1, n_path):\n", + " if chain_adj[i, j] > 0:\n", + " color = COLORS[\"signal_4\"] if (i == 0 and j == 4) else COLORS[\"grid\"]\n", + " lw = 3 if (i == 0 and j == 4) else 2\n", + " ax1.plot([pos_chain[i, 0], pos_chain[j, 0]],\n", + " [pos_chain[i, 1], pos_chain[j, 1]],\n", + " color=color, lw=lw, zorder=1)\n", + "\n", + "# Highlight shortest path from 1 to 8\n", + "path_1_to_8 = [0, 4, 5, 6, 7] # Using shortcut\n", + "for k in range(len(path_1_to_8) - 1):\n", + " i, j = path_1_to_8[k], path_1_to_8[k + 1]\n", + " ax1.plot([pos_chain[i, 0], pos_chain[j, 0]],\n", + " [pos_chain[i, 1], pos_chain[j, 1]],\n", + " color=COLORS[\"signal_2\"], lw=4, alpha=0.7, zorder=2)\n", + "\n", + "# Draw nodes\n", + "for i, pos in enumerate(pos_chain):\n", + " color = COLORS[\"signal_4\"] if i in [0, 7] else COLORS[\"signal_1\"]\n", + " draw_node(ax1, pos[0], pos[1], str(i+1), color, size=0.1)\n", + "\n", + "ax1.set_xlim(-1.5, 1.5)\n", + "ax1.set_ylim(-0.8, 0.8)\n", + "ax1.set_aspect('equal')\n", + "ax1.axis('off')\n", + "ax1.set_title(f\"Shortest Path: 1 → 8\\nLength = {int(dist_matrix[0, 7])} edges\", \n", + " fontsize=12, fontweight='bold')\n", + "ax1.text(0, -0.6, \"Gold edge = shortcut that reduces path length\", \n", + " ha='center', fontsize=10, style='italic')\n", + "\n", + "# Right: Distance matrix heatmap\n", + "ax2 = axes[1]\n", + "im = ax2.imshow(dist_matrix, cmap='YlOrRd', vmin=0, vmax=n_path-1)\n", + "ax2.set_xticks(range(n_path))\n", + "ax2.set_yticks(range(n_path))\n", + "ax2.set_xticklabels([str(i+1) for i in range(n_path)])\n", + "ax2.set_yticklabels([str(i+1) for i in range(n_path)])\n", + "ax2.set_xlabel(\"To node\")\n", + "ax2.set_ylabel(\"From node\")\n", + "ax2.set_title(\"Shortest Path Matrix\", fontsize=12, fontweight='bold')\n", + "plt.colorbar(im, ax=ax2, label=\"Path length\")\n", + "\n", + "# Add values\n", + "for i in range(n_path):\n", + " for j in range(n_path):\n", + " val = dist_matrix[i, j]\n", + " color = 'white' if val > 3 else 'black'\n", + " ax2.text(j, i, str(int(val)), ha='center', va='center', \n", + " fontsize=9, color=color)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "L = compute_characteristic_path_length(chain_adj)\n", + "E = compute_global_efficiency(chain_adj)\n", + "print(f\"✓ Network metrics:\")\n", + "print(f\" - Characteristic path length L = {L:.2f}\")\n", + "print(f\" - Global efficiency E = {E:.2f}\")\n", + "print(f\" - Without shortcut, path 1→8 would be 7 edges (now only 4)\")" + ] + }, + { + "cell_type": "markdown", + "id": "a48085c0", + "metadata": {}, + "source": [ + "---\n", + "## Section 7: Small-World Networks\n", + "\n", + "Brain networks are neither completely random nor completely regular — they exhibit a special organization called **small-world** topology.\n", + "\n", + "### The Small-World Sweet Spot\n", + "\n", + "| Network Type | Clustering (C) | Path Length (L) | Properties |\n", + "|--------------|----------------|-----------------|------------|\n", + "| **Regular lattice** | High | High | Local connections only |\n", + "| **Random** | Low | Low | Connections are random |\n", + "| **Small-world** | **High** | **Low** | Best of both worlds! |\n", + "\n", + "### Small-Worldness Index\n", + "\n", + "Compare observed network to random networks with same size and density:\n", + "\n", + "$$\\sigma = \\frac{C / C_{random}}{L / L_{random}}$$\n", + "\n", + "- $\\sigma > 1$ indicates small-world topology\n", + "- Brain networks typically have $\\sigma \\approx 2-5$\n", + "\n", + "### Why Small-World?\n", + "\n", + "- **High clustering**: Local, specialized processing (functional modules)\n", + "- **Short paths**: Efficient global integration (communication across modules)\n", + "- **Optimal** for information processing: segregation + integration" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "bf18a267", + "metadata": {}, + "outputs": [], + "source": [ + "# Functions for network generation and small-worldness\n", + "\n", + "def generate_random_graph(\n", + " n_nodes: int,\n", + " density: float,\n", + " seed: Optional[int] = None\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Generate a random (Erdős-Rényi) graph.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_nodes : int\n", + " Number of nodes.\n", + " density : float\n", + " Proportion of edges to include (0-1).\n", + " seed : int, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " adj = np.zeros((n_nodes, n_nodes))\n", + " for i in range(n_nodes):\n", + " for j in range(i + 1, n_nodes):\n", + " if np.random.rand() < density:\n", + " adj[i, j] = 1\n", + " adj[j, i] = 1\n", + " \n", + " return adj\n", + "\n", + "\n", + "def generate_lattice_graph(\n", + " n_nodes: int,\n", + " k_neighbors: int\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Generate a regular ring lattice (each node connected to k nearest neighbors).\n", + " \n", + " Parameters\n", + " ----------\n", + " n_nodes : int\n", + " Number of nodes.\n", + " k_neighbors : int\n", + " Number of neighbors on each side (total degree = 2k).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \"\"\"\n", + " adj = np.zeros((n_nodes, n_nodes))\n", + " \n", + " for i in range(n_nodes):\n", + " for k in range(1, k_neighbors + 1):\n", + " j = (i + k) % n_nodes\n", + " adj[i, j] = 1\n", + " adj[j, i] = 1\n", + " \n", + " return adj\n", + "\n", + "\n", + "def generate_small_world_graph(\n", + " n_nodes: int,\n", + " k_neighbors: int,\n", + " p_rewire: float,\n", + " seed: Optional[int] = None\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Generate a Watts-Strogatz small-world graph.\n", + " \n", + " Start with a ring lattice and randomly rewire edges with probability p.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_nodes : int\n", + " Number of nodes.\n", + " k_neighbors : int\n", + " Initial neighbors on each side.\n", + " p_rewire : float\n", + " Probability of rewiring each edge.\n", + " seed : int, optional\n", + " Random seed.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " # Start with lattice\n", + " adj = generate_lattice_graph(n_nodes, k_neighbors)\n", + " \n", + " # Rewire edges\n", + " for i in range(n_nodes):\n", + " for k in range(1, k_neighbors + 1):\n", + " if np.random.rand() < p_rewire:\n", + " j = (i + k) % n_nodes\n", + " \n", + " # Remove edge (i, j)\n", + " adj[i, j] = 0\n", + " adj[j, i] = 0\n", + " \n", + " # Add edge to random node (not self, not existing neighbor)\n", + " candidates = [c for c in range(n_nodes) \n", + " if c != i and adj[i, c] == 0]\n", + " if candidates:\n", + " new_j = np.random.choice(candidates)\n", + " adj[i, new_j] = 1\n", + " adj[new_j, i] = 1\n", + " \n", + " return adj\n", + "\n", + "\n", + "print(\"✓ Network generation functions defined:\")\n", + "print(\" - generate_random_graph(): Erdős-Rényi random network\")\n", + "print(\" - generate_lattice_graph(): regular ring lattice\")\n", + "print(\" - generate_small_world_graph(): Watts-Strogatz small-world\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6c81a5be", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 8: Three network types comparison\n", + "\n", + "n_sw = 16\n", + "k = 3 # Each node connected to 3 neighbors on each side\n", + "\n", + "# Generate three network types\n", + "lattice = generate_lattice_graph(n_sw, k)\n", + "random_net = generate_random_graph(n_sw, get_graph_density(lattice), seed=42)\n", + "small_world = generate_small_world_graph(n_sw, k, p_rewire=0.2, seed=42)\n", + "\n", + "networks = [\n", + " (\"Regular Lattice\", lattice, COLORS[\"signal_1\"]),\n", + " (\"Small-World (p=0.2)\", small_world, COLORS[\"signal_4\"]),\n", + " (\"Random\", random_net, COLORS[\"signal_2\"])\n", + "]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 5))\n", + "\n", + "# Circular positions\n", + "angles_sw = np.linspace(0, 2 * np.pi, n_sw, endpoint=False) - np.pi / 2\n", + "pos_sw = np.column_stack([np.cos(angles_sw), np.sin(angles_sw)])\n", + "\n", + "for ax, (title, adj, node_color) in zip(axes, networks):\n", + " # Draw edges\n", + " for i in range(n_sw):\n", + " for j in range(i + 1, n_sw):\n", + " if adj[i, j] > 0:\n", + " ax.plot([pos_sw[i, 0], pos_sw[j, 0]],\n", + " [pos_sw[i, 1], pos_sw[j, 1]],\n", + " color=COLORS[\"grid\"], lw=1, alpha=0.6, zorder=1)\n", + " \n", + " # Draw nodes\n", + " for i, pos in enumerate(pos_sw):\n", + " circle = plt.Circle(pos, 0.08, color=node_color, ec='white', lw=1, zorder=3)\n", + " ax.add_patch(circle)\n", + " \n", + " # Compute metrics\n", + " C = compute_global_clustering(adj)\n", + " L = compute_characteristic_path_length(adj)\n", + " L_str = f\"{L:.2f}\" if L < 100 else \"∞\"\n", + " \n", + " ax.set_xlim(-1.4, 1.4)\n", + " ax.set_ylim(-1.4, 1.4)\n", + " ax.set_aspect('equal')\n", + " ax.axis('off')\n", + " ax.set_title(f\"{title}\\nC = {C:.2f}, L = {L_str}\", fontsize=11, fontweight='bold')\n", + "\n", + "plt.suptitle(\"Network Types: From Lattice to Random\", fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Summary table\n", + "print(\"✓ Network comparison:\")\n", + "print(f\"{'Network':<20} {'Clustering (C)':<18} {'Path Length (L)':<18}\")\n", + "print(\"-\" * 56)\n", + "for title, adj, _ in networks:\n", + " C = compute_global_clustering(adj)\n", + " L = compute_characteristic_path_length(adj)\n", + " L_str = f\"{L:.2f}\" if L < 100 else \"∞\"\n", + " print(f\"{title:<20} {C:<18.2f} {L_str:<18}\")" + ] + }, + { + "cell_type": "markdown", + "id": "89c6119e", + "metadata": {}, + "source": [ + "---\n", + "## Section 8: Hub Detection\n", + "\n", + "**Hubs** are highly connected, important nodes that play critical roles in network communication. There are multiple ways to identify them:\n", + "\n", + "### Centrality Measures\n", + "\n", + "| Measure | Question | Interpretation |\n", + "|---------|----------|----------------|\n", + "| **Degree centrality** | How many connections? | Many direct links |\n", + "| **Strength centrality** | How strong are connections? | High total connectivity |\n", + "| **Betweenness centrality** | How many paths pass through? | Critical for communication |\n", + "| **Eigenvector centrality** | Connected to important nodes? | Influential position |\n", + "\n", + "### Betweenness Centrality\n", + "\n", + "The fraction of all shortest paths that pass through node $i$:\n", + "\n", + "$$B_i = \\sum_{s \\neq i \\neq t} \\frac{\\sigma_{st}(i)}{\\sigma_{st}}$$\n", + "\n", + "where $\\sigma_{st}$ is the number of shortest paths from $s$ to $t$, and $\\sigma_{st}(i)$ is the number passing through $i$.\n", + "\n", + "- High betweenness = \"bridge\" node\n", + "- Damage to high-betweenness nodes disrupts communication" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2c57a575", + "metadata": {}, + "outputs": [], + "source": [ + "# Functions for hub detection\n", + "\n", + "def compute_betweenness_centrality(\n", + " adjacency: NDArray[np.float64]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute betweenness centrality for each node.\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Betweenness centrality for each node (normalized).\n", + " \"\"\"\n", + " n = adjacency.shape[0]\n", + " dist = compute_shortest_paths(adjacency)\n", + " betweenness = np.zeros(n)\n", + " \n", + " # For each pair of nodes\n", + " for s in range(n):\n", + " for t in range(n):\n", + " if s == t:\n", + " continue\n", + " if np.isinf(dist[s, t]):\n", + " continue\n", + " \n", + " # Check each intermediate node\n", + " for i in range(n):\n", + " if i == s or i == t:\n", + " continue\n", + " # Node i is on shortest path s→t if d(s,i) + d(i,t) = d(s,t)\n", + " if dist[s, i] + dist[i, t] == dist[s, t]:\n", + " # Approximate: assume only one shortest path\n", + " betweenness[i] += 1\n", + " \n", + " # Normalize\n", + " if n > 2:\n", + " betweenness = betweenness / ((n - 1) * (n - 2))\n", + " \n", + " return betweenness\n", + "\n", + "\n", + "def identify_hubs(\n", + " adjacency: NDArray[np.float64],\n", + " weighted_matrix: Optional[NDArray[np.float64]] = None,\n", + " threshold_percentile: float = 75\n", + ") -> Dict[str, Any]:\n", + " \"\"\"\n", + " Identify hub nodes based on multiple centrality measures.\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray[np.float64]\n", + " Binary adjacency matrix.\n", + " weighted_matrix : NDArray, optional\n", + " Weighted matrix for strength calculation.\n", + " threshold_percentile : float\n", + " Percentile above which nodes are considered hubs.\n", + " \n", + " Returns\n", + " -------\n", + " dict\n", + " Hub analysis results.\n", + " \"\"\"\n", + " degree = compute_degree(adjacency)\n", + " betweenness = compute_betweenness_centrality(adjacency)\n", + " \n", + " if weighted_matrix is not None:\n", + " strength = compute_strength(weighted_matrix)\n", + " else:\n", + " strength = degree.copy()\n", + " \n", + " # Normalize each metric to 0-1\n", + " def normalize(x):\n", + " if x.max() == x.min():\n", + " return np.zeros_like(x)\n", + " return (x - x.min()) / (x.max() - x.min())\n", + " \n", + " # Composite score (equal weights)\n", + " composite = (normalize(degree) + normalize(strength) + normalize(betweenness)) / 3\n", + " \n", + " # Identify hubs\n", + " threshold = np.percentile(composite, threshold_percentile)\n", + " hub_mask = composite >= threshold\n", + " \n", + " return {\n", + " \"hub_indices\": np.where(hub_mask)[0],\n", + " \"degree\": degree,\n", + " \"strength\": strength,\n", + " \"betweenness\": betweenness,\n", + " \"composite_score\": composite\n", + " }\n", + "\n", + "\n", + "print(\"✓ Hub detection functions defined:\")\n", + "print(\" - compute_betweenness_centrality(): paths through each node\")\n", + "print(\" - identify_hubs(): multi-metric hub identification\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2a33b34d", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 9: Hub identification\n", + "\n", + "# Create network with clear hubs\n", + "np.random.seed(456)\n", + "n_hub = 12\n", + "\n", + "# Create base random network\n", + "hub_network = generate_random_graph(n_hub, 0.3, seed=456)\n", + "\n", + "# Add two super-connected hubs (nodes 0 and 6)\n", + "for hub_node in [0, 6]:\n", + " for i in range(n_hub):\n", + " if i != hub_node and np.random.rand() < 0.7:\n", + " hub_network[hub_node, i] = 1\n", + " hub_network[i, hub_node] = 1\n", + "\n", + "# Compute hub metrics\n", + "hub_results = identify_hubs(hub_network)\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Left: Network with nodes colored by composite score\n", + "ax1 = axes[0]\n", + "angles_hub = np.linspace(0, 2 * np.pi, n_hub, endpoint=False) - np.pi / 2\n", + "pos_hub = np.column_stack([np.cos(angles_hub), np.sin(angles_hub)])\n", + "\n", + "# Draw edges\n", + "for i in range(n_hub):\n", + " for j in range(i + 1, n_hub):\n", + " if hub_network[i, j] > 0:\n", + " ax1.plot([pos_hub[i, 0], pos_hub[j, 0]],\n", + " [pos_hub[i, 1], pos_hub[j, 1]],\n", + " color=COLORS[\"grid\"], lw=1, alpha=0.5, zorder=1)\n", + "\n", + "# Draw nodes sized and colored by composite score\n", + "scores = hub_results[\"composite_score\"]\n", + "for i, (pos, score) in enumerate(zip(pos_hub, scores)):\n", + " size = 0.08 + 0.12 * score\n", + " is_hub = i in hub_results[\"hub_indices\"]\n", + " color = COLORS[\"signal_4\"] if is_hub else COLORS[\"signal_1\"]\n", + " alpha = 0.6 + 0.4 * score\n", + " \n", + " circle = plt.Circle(pos, size, color=color, ec='white', lw=2, \n", + " alpha=alpha, zorder=3)\n", + " ax1.add_patch(circle)\n", + " ax1.text(pos[0], pos[1], str(i+1), ha='center', va='center',\n", + " fontsize=9, fontweight='bold', color='white', zorder=4)\n", + "\n", + "ax1.set_xlim(-1.5, 1.5)\n", + "ax1.set_ylim(-1.5, 1.5)\n", + "ax1.set_aspect('equal')\n", + "ax1.axis('off')\n", + "ax1.set_title(\"Network (Hubs in Gold)\", fontsize=12, fontweight='bold')\n", + "\n", + "# Right: Metrics comparison\n", + "ax2 = axes[1]\n", + "x = np.arange(n_hub)\n", + "width = 0.25\n", + "\n", + "ax2.bar(x - width, hub_results[\"degree\"] / hub_results[\"degree\"].max(), \n", + " width, label='Degree', color=COLORS[\"signal_1\"], alpha=0.8)\n", + "ax2.bar(x, hub_results[\"betweenness\"] / (hub_results[\"betweenness\"].max() + 0.01),\n", + " width, label='Betweenness', color=COLORS[\"signal_2\"], alpha=0.8)\n", + "ax2.bar(x + width, hub_results[\"composite_score\"], \n", + " width, label='Composite', color=COLORS[\"signal_4\"], alpha=0.8)\n", + "\n", + "# Highlight hubs\n", + "for hub_idx in hub_results[\"hub_indices\"]:\n", + " ax2.axvspan(hub_idx - 0.4, hub_idx + 0.4, alpha=0.2, color=COLORS[\"signal_4\"])\n", + "\n", + "ax2.set_xlabel('Node')\n", + "ax2.set_ylabel('Normalized Score')\n", + "ax2.set_title('Hub Metrics per Node', fontsize=12, fontweight='bold')\n", + "ax2.set_xticks(x)\n", + "ax2.set_xticklabels([str(i+1) for i in range(n_hub)])\n", + "ax2.legend(loc='upper right')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"✓ Identified hubs (top 25%): nodes {[i+1 for i in hub_results['hub_indices']]}\")\n", + "print(f\" - These nodes have high degree AND high betweenness\")" + ] + }, + { + "cell_type": "markdown", + "id": "ea2ffc39", + "metadata": {}, + "source": [ + "## 9. Network Visualization\n", + "\n", + "**Effective visualization is crucial for understanding brain networks.** Different layout algorithms emphasize different aspects of network structure.\n", + "\n", + "### Layout Algorithms\n", + "\n", + "| Layout | Description | Best For |\n", + "|--------|-------------|----------|\n", + "| **Circular** | Nodes in a circle | Comparing matrices, ordered data |\n", + "| **Spring** | Force-directed (attractive/repulsive) | Revealing clusters |\n", + "| **Spectral** | Based on graph Laplacian | Mathematical structure |\n", + "| **Anatomical** | Uses electrode positions | EEG topography |\n", + "\n", + "### Key Principles\n", + "\n", + "1. **Node size** → importance (degree, centrality)\n", + "2. **Node color** → group membership or metric value\n", + "3. **Edge width** → connection strength\n", + "4. **Edge color** → positive/negative or different frequency bands" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d901dc35", + "metadata": {}, + "outputs": [], + "source": [ + "# Layout algorithms\n", + "\n", + "def spring_layout(\n", + " adjacency: NDArray[np.floating[Any]],\n", + " n_iterations: int = 50,\n", + " seed: Optional[int] = None\n", + ") -> NDArray[np.floating[Any]]:\n", + " \"\"\"\n", + " Compute spring (force-directed) layout for a graph.\n", + " \n", + " Nodes repel each other while edges act as springs.\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray\n", + " Adjacency matrix (n_nodes, n_nodes).\n", + " n_iterations : int\n", + " Number of force simulation iterations.\n", + " seed : int, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray\n", + " Node positions (n_nodes, 2).\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " n_nodes = adjacency.shape[0]\n", + " \n", + " # Initialize random positions\n", + " pos = np.random.rand(n_nodes, 2) * 2 - 1\n", + " \n", + " k = 1.0 / np.sqrt(n_nodes) # Optimal distance\n", + " \n", + " for _ in range(n_iterations):\n", + " # Compute pairwise distances\n", + " diff = pos[:, np.newaxis, :] - pos[np.newaxis, :, :]\n", + " dist = np.linalg.norm(diff, axis=2) + 1e-10\n", + " \n", + " # Repulsive forces (all pairs)\n", + " repulsion = k**2 / dist**2\n", + " repulsion = repulsion[:, :, np.newaxis] * diff / dist[:, :, np.newaxis]\n", + " repulsion = np.sum(repulsion, axis=1)\n", + " \n", + " # Attractive forces (connected pairs only)\n", + " attraction = np.zeros_like(pos)\n", + " for i in range(n_nodes):\n", + " for j in range(n_nodes):\n", + " if adjacency[i, j] > 0 and i != j:\n", + " d = dist[i, j]\n", + " attraction[i] -= diff[i, j] * d / k\n", + " \n", + " # Update positions\n", + " displacement = repulsion + attraction * 0.1\n", + " displacement_norm = np.linalg.norm(displacement, axis=1, keepdims=True) + 1e-10\n", + " pos += 0.1 * displacement / displacement_norm\n", + " \n", + " # Keep within bounds\n", + " pos = np.clip(pos, -1, 1)\n", + " \n", + " return pos\n", + "\n", + "\n", + "def spectral_layout(\n", + " adjacency: NDArray[np.floating[Any]]\n", + ") -> NDArray[np.floating[Any]]:\n", + " \"\"\"\n", + " Compute spectral layout using graph Laplacian eigenvectors.\n", + " \n", + " Parameters\n", + " ----------\n", + " adjacency : NDArray\n", + " Adjacency matrix (n_nodes, n_nodes).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray\n", + " Node positions (n_nodes, 2).\n", + " \"\"\"\n", + " n_nodes = adjacency.shape[0]\n", + " \n", + " # Make symmetric\n", + " adj_sym = (adjacency + adjacency.T) / 2\n", + " \n", + " # Compute Laplacian\n", + " degree_matrix = np.diag(np.sum(adj_sym, axis=1))\n", + " laplacian = degree_matrix - adj_sym\n", + " \n", + " # Get eigenvectors\n", + " eigenvalues, eigenvectors = np.linalg.eigh(laplacian)\n", + " \n", + " # Use 2nd and 3rd eigenvectors for 2D layout (skip 1st - constant)\n", + " pos = eigenvectors[:, 1:3]\n", + " \n", + " # Normalize to [-1, 1]\n", + " pos = pos / (np.max(np.abs(pos)) + 1e-10)\n", + " \n", + " return pos\n", + "\n", + "\n", + "print(\"✓ Layout functions defined:\")\n", + "print(\" - spring_layout(): force-directed positioning\")\n", + "print(\" - spectral_layout(): eigenvector-based positioning\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f064f080", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 10: Comparing layout algorithms\n", + "\n", + "# Create a network with some cluster structure\n", + "np.random.seed(789)\n", + "n_layout = 12\n", + "\n", + "# Create connectivity matrix with two clusters\n", + "layout_matrix = np.zeros((n_layout, n_layout))\n", + "\n", + "# Cluster 1: nodes 0-5\n", + "for i in range(6):\n", + " for j in range(i+1, 6):\n", + " if np.random.rand() < 0.6:\n", + " layout_matrix[i, j] = layout_matrix[j, i] = 1\n", + "\n", + "# Cluster 2: nodes 6-11 \n", + "for i in range(6, 12):\n", + " for j in range(i+1, 12):\n", + " if np.random.rand() < 0.6:\n", + " layout_matrix[i, j] = layout_matrix[j, i] = 1\n", + "\n", + "# Few inter-cluster connections\n", + "layout_matrix[2, 8] = layout_matrix[8, 2] = 1\n", + "layout_matrix[4, 9] = layout_matrix[9, 4] = 1\n", + "\n", + "# Compute different layouts\n", + "n_angles = np.linspace(0, 2*np.pi, n_layout, endpoint=False) - np.pi/2\n", + "circular_pos = np.column_stack([np.cos(n_angles), np.sin(n_angles)])\n", + "spring_pos = spring_layout(layout_matrix, n_iterations=100, seed=789)\n", + "spectral_pos = spectral_layout(layout_matrix)\n", + "\n", + "layouts = [\n", + " (\"Circular Layout\", circular_pos),\n", + " (\"Spring (Force-Directed)\", spring_pos),\n", + " (\"Spectral Layout\", spectral_pos)\n", + "]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4.5))\n", + "\n", + "for ax, (title, pos) in zip(axes, layouts):\n", + " # Draw edges\n", + " for i in range(n_layout):\n", + " for j in range(i+1, n_layout):\n", + " if layout_matrix[i, j] > 0:\n", + " # Color by whether intra or inter-cluster\n", + " is_inter = (i < 6 and j >= 6) or (i >= 6 and j < 6)\n", + " color = COLORS[\"signal_4\"] if is_inter else COLORS[\"grid\"]\n", + " lw = 2 if is_inter else 1\n", + " ax.plot([pos[i, 0], pos[j, 0]], [pos[i, 1], pos[j, 1]],\n", + " color=color, lw=lw, alpha=0.6, zorder=1)\n", + " \n", + " # Draw nodes colored by cluster\n", + " for i, p in enumerate(pos):\n", + " color = COLORS[\"signal_1\"] if i < 6 else COLORS[\"signal_2\"]\n", + " circle = plt.Circle(p, 0.08, color=color, ec='white', lw=2, zorder=3)\n", + " ax.add_patch(circle)\n", + " ax.text(p[0], p[1], str(i+1), ha='center', va='center',\n", + " fontsize=8, fontweight='bold', color='white', zorder=4)\n", + " \n", + " ax.set_xlim(-1.4, 1.4)\n", + " ax.set_ylim(-1.4, 1.4)\n", + " ax.set_aspect('equal')\n", + " ax.axis('off')\n", + " ax.set_title(title, fontsize=11, fontweight='bold')\n", + "\n", + "plt.suptitle(\"Same Network, Different Layouts\\n(Blue = Cluster 1, Orange = Cluster 2, Gold = Inter-cluster edges)\",\n", + " fontsize=12, y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Spring layout naturally separates clusters\")\n", + "print(\"✓ Spectral layout reveals mathematical structure\")\n", + "print(\"✓ Circular is good for comparing with adjacency matrices\")" + ] + }, + { + "cell_type": "markdown", + "id": "52b93837", + "metadata": {}, + "source": [ + "## 10. Graph Metrics for EEG Networks\n", + "\n", + "**EEG connectivity analysis applies graph theory to understand brain network organization.** Each electrode becomes a node, and connectivity metrics become edge weights.\n", + "\n", + "### Typical EEG Graph Analysis Pipeline\n", + "\n", + "```\n", + "Raw EEG → Preprocessing → Connectivity (PLV, Coherence, etc.) → Thresholding → Graph Metrics\n", + "```\n", + "\n", + "### Common Findings in EEG Graph Studies\n", + "\n", + "| Metric | Typical Brain Network Finding |\n", + "|--------|------------------------------|\n", + "| **Small-world** | Brain networks are small-world (high C, low L) |\n", + "| **Hubs** | Posterior regions often act as hubs |\n", + "| **Modularity** | Functional modules map to brain regions |\n", + "| **Efficiency** | High efficiency enables fast information transfer |\n", + "\n", + "### Key Considerations\n", + "\n", + "- **Threshold selection** affects all downstream metrics\n", + "- **Volume conduction** can create spurious connections (use PLI/wPLI)\n", + "- **Frequency bands** may show different network organization" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2a26e5c3", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 11: Connected vs Disconnected EEG networks\n", + "\n", + "# Create realistic EEG electrode positions (10-20 system simplified)\n", + "eeg_labels = ['Fp1', 'Fp2', 'F3', 'F4', 'C3', 'C4', 'P3', 'P4', 'O1', 'O2']\n", + "n_eeg = len(eeg_labels)\n", + "\n", + "# 2D positions (approximate head view from above)\n", + "eeg_positions = np.array([\n", + " [-0.3, 0.9], # Fp1 - frontal left\n", + " [0.3, 0.9], # Fp2 - frontal right\n", + " [-0.5, 0.5], # F3\n", + " [0.5, 0.5], # F4\n", + " [-0.7, 0.0], # C3 - central left\n", + " [0.7, 0.0], # C4 - central right\n", + " [-0.5, -0.5], # P3 - parietal left\n", + " [0.5, -0.5], # P4 - parietal right\n", + " [-0.3, -0.9], # O1 - occipital left\n", + " [0.3, -0.9], # O2 - occipital right\n", + "])\n", + "\n", + "# Create simulated PLV connectivity matrix with realistic structure\n", + "np.random.seed(111)\n", + "eeg_connectivity = np.random.rand(n_eeg, n_eeg) * 0.3 + 0.2\n", + "\n", + "# Add stronger intra-hemispheric connections\n", + "for i in range(0, n_eeg, 2): # Left hemisphere\n", + " for j in range(0, n_eeg, 2):\n", + " if i != j:\n", + " eeg_connectivity[i, j] += 0.25\n", + " \n", + "for i in range(1, n_eeg, 2): # Right hemisphere\n", + " for j in range(1, n_eeg, 2):\n", + " if i != j:\n", + " eeg_connectivity[i, j] += 0.25\n", + "\n", + "# Add strong occipital connections (visual network)\n", + "eeg_connectivity[8, 9] = eeg_connectivity[9, 8] = 0.85\n", + "eeg_connectivity[6, 8] = eeg_connectivity[8, 6] = 0.75\n", + "eeg_connectivity[7, 9] = eeg_connectivity[9, 7] = 0.75\n", + "\n", + "# Add inter-hemispheric connections\n", + "eeg_connectivity[0, 1] = eeg_connectivity[1, 0] = 0.6 # Fp1-Fp2\n", + "eeg_connectivity[2, 3] = eeg_connectivity[3, 2] = 0.55 # F3-F4\n", + "\n", + "# Symmetrize and remove diagonal\n", + "eeg_connectivity = (eeg_connectivity + eeg_connectivity.T) / 2\n", + "np.fill_diagonal(eeg_connectivity, 0)\n", + "\n", + "\n", + "def draw_eeg_network(ax, connectivity, positions, labels, threshold, title_suffix=\"\"):\n", + " \"\"\"Draw EEG network on head outline.\"\"\"\n", + " binary = (connectivity > threshold).astype(float)\n", + " degrees = compute_degree(binary)\n", + " \n", + " # Draw head outline\n", + " theta_head = np.linspace(0, 2*np.pi, 100)\n", + " ax.plot(np.cos(theta_head), np.sin(theta_head), 'k-', lw=2)\n", + " ax.plot([0], [1.05], 'v', color='black', markersize=8) # Nose\n", + " \n", + " # Draw edges\n", + " for i in range(len(labels)):\n", + " for j in range(i+1, len(labels)):\n", + " if connectivity[i, j] > threshold:\n", + " lw = 1 + 2 * (connectivity[i, j] - threshold) / (1 - threshold)\n", + " ax.plot([positions[i, 0], positions[j, 0]],\n", + " [positions[i, 1], positions[j, 1]],\n", + " color=COLORS[\"signal_1\"], lw=lw, alpha=0.7, zorder=1)\n", + " \n", + " # Draw nodes\n", + " for i, (pos, label) in enumerate(zip(positions, labels)):\n", + " size = 0.07 + 0.04 * degrees[i] / max(degrees.max(), 1)\n", + " is_isolated = degrees[i] == 0\n", + " color = COLORS[\"grid\"] if is_isolated else (\n", + " COLORS[\"signal_4\"] if degrees[i] == degrees.max() else COLORS[\"signal_2\"])\n", + " circle = plt.Circle(pos, size, color=color, ec='white', lw=1.5, zorder=3)\n", + " ax.add_patch(circle)\n", + " ax.text(pos[0], pos[1], label, ha='center', va='center',\n", + " fontsize=6, fontweight='bold', color='white', zorder=4)\n", + " \n", + " ax.set_xlim(-1.3, 1.3)\n", + " ax.set_ylim(-1.3, 1.3)\n", + " ax.set_aspect('equal')\n", + " ax.axis('off')\n", + " \n", + " return binary, degrees\n", + "\n", + "\n", + "# Two thresholds: low (connected) and high (disconnected)\n", + "threshold_low = 0.5\n", + "threshold_high = 0.7\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(14, 9))\n", + "\n", + "# ===== ROW 1: LOW THRESHOLD (CONNECTED) =====\n", + "binary_low, degrees_low = draw_eeg_network(\n", + " axes[0, 1], eeg_connectivity, eeg_positions, eeg_labels, threshold_low)\n", + "\n", + "L_low = compute_characteristic_path_length(binary_low)\n", + "cc_low = compute_global_clustering(binary_low)\n", + "eff_low = compute_global_efficiency(binary_low)\n", + "is_connected_low = not np.isinf(L_low)\n", + "\n", + "# Matrix\n", + "im1 = axes[0, 0].imshow(eeg_connectivity, cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "axes[0, 0].axhline(y=-0.5, color='white', lw=0.5)\n", + "axes[0, 0].set_xticks(range(n_eeg))\n", + "axes[0, 0].set_yticks(range(n_eeg))\n", + "axes[0, 0].set_xticklabels(eeg_labels, fontsize=7)\n", + "axes[0, 0].set_yticklabels(eeg_labels, fontsize=7)\n", + "axes[0, 0].set_title(f'Threshold = {threshold_low}\\n(keep edges > {threshold_low})', fontsize=10, fontweight='bold')\n", + "\n", + "# Network title\n", + "status_low = \"Connected ✓\" if is_connected_low else \"Disconnected ✗\"\n", + "axes[0, 1].set_title(f'Network: {status_low}', fontsize=10, fontweight='bold',\n", + " color=COLORS[\"high_sync\"] if is_connected_low else COLORS[\"signal_3\"])\n", + "\n", + "# Metrics\n", + "metrics = ['Path\\nLength', 'Clustering', 'Efficiency']\n", + "L_display = L_low if is_connected_low else 0\n", + "values_low = [L_display, cc_low, eff_low]\n", + "bars_low = axes[0, 2].bar(metrics, values_low, \n", + " color=[COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_4\"]], \n", + " alpha=0.8, edgecolor='white', lw=2)\n", + "axes[0, 2].set_ylabel('Value')\n", + "axes[0, 2].set_title('Network Metrics', fontsize=10, fontweight='bold')\n", + "axes[0, 2].set_ylim(0, 2.5)\n", + "\n", + "labels_low = [f'{L_low:.2f}' if is_connected_low else '∞', f'{cc_low:.2f}', f'{eff_low:.2f}']\n", + "for bar, lbl in zip(bars_low, labels_low):\n", + " axes[0, 2].text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.08,\n", + " lbl, ha='center', fontsize=9, fontweight='bold')\n", + "\n", + "# ===== ROW 2: HIGH THRESHOLD (DISCONNECTED) =====\n", + "binary_high, degrees_high = draw_eeg_network(\n", + " axes[1, 1], eeg_connectivity, eeg_positions, eeg_labels, threshold_high)\n", + "\n", + "L_high = compute_characteristic_path_length(binary_high)\n", + "cc_high = compute_global_clustering(binary_high)\n", + "eff_high = compute_global_efficiency(binary_high)\n", + "is_connected_high = not np.isinf(L_high)\n", + "\n", + "# Matrix with threshold line\n", + "im2 = axes[1, 0].imshow(eeg_connectivity, cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "axes[1, 0].set_xticks(range(n_eeg))\n", + "axes[1, 0].set_yticks(range(n_eeg))\n", + "axes[1, 0].set_xticklabels(eeg_labels, fontsize=7)\n", + "axes[1, 0].set_yticklabels(eeg_labels, fontsize=7)\n", + "axes[1, 0].set_title(f'Threshold = {threshold_high}\\n(keep edges > {threshold_high})', fontsize=10, fontweight='bold')\n", + "\n", + "# Network title\n", + "status_high = \"Connected ✓\" if is_connected_high else \"Disconnected ✗\"\n", + "axes[1, 1].set_title(f'Network: {status_high}', fontsize=10, fontweight='bold',\n", + " color=COLORS[\"high_sync\"] if is_connected_high else COLORS[\"negative\"])\n", + "\n", + "# Metrics\n", + "L_display_high = L_high if is_connected_high else 0\n", + "values_high = [L_display_high, cc_high, eff_high]\n", + "bars_high = axes[1, 2].bar(metrics, values_high, \n", + " color=[COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_4\"]], \n", + " alpha=0.8, edgecolor='white', lw=2)\n", + "axes[1, 2].set_ylabel('Value')\n", + "axes[1, 2].set_title('Network Metrics', fontsize=10, fontweight='bold')\n", + "axes[1, 2].set_ylim(0, 2.5)\n", + "\n", + "labels_high = [f'{L_high:.2f}' if is_connected_high else '∞', f'{cc_high:.2f}', f'{eff_high:.2f}']\n", + "for bar, lbl in zip(bars_high, labels_high):\n", + " axes[1, 2].text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.08,\n", + " lbl, ha='center', fontsize=9, fontweight='bold')\n", + "\n", + "# Add annotation for disconnected case\n", + "if not is_connected_high:\n", + " axes[1, 2].annotate('Path Length = ∞\\n(no path exists!)', \n", + " xy=(0, 0), xytext=(0.5, 1.5),\n", + " fontsize=9, ha='center', color=COLORS[\"negative\"],\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=COLORS[\"negative\"]))\n", + "\n", + "plt.suptitle(\"Effect of Threshold on Network Connectivity\", fontsize=13, fontweight='bold', y=0.98)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Threshold comparison:\")\n", + "print(f\"\\n LOW threshold ({threshold_low}):\")\n", + "print(f\" - Network is {'CONNECTED' if is_connected_low else 'DISCONNECTED'}\")\n", + "print(f\" - Path length: {L_low:.2f}\" if is_connected_low else f\" - Path length: ∞\")\n", + "print(f\" - Global efficiency: {eff_low:.2f}\")\n", + "print(f\"\\n HIGH threshold ({threshold_high}):\")\n", + "print(f\" - Network is {'CONNECTED' if is_connected_high else 'DISCONNECTED'}\")\n", + "print(f\" - Path length: {L_high:.2f}\" if is_connected_high else f\" - Path length: ∞ (some nodes have no path between them)\")\n", + "print(f\" - Global efficiency: {eff_high:.2f} (still computable!)\")\n", + "print(f\"\\n → When network is disconnected, use Global Efficiency instead of Path Length!\")" + ] + }, + { + "cell_type": "markdown", + "id": "dffed577", + "metadata": {}, + "source": [ + "## 11. Graphs for Hyperscanning\n", + "\n", + "**In hyperscanning, we extend graph analysis to multi-brain networks.** Instead of analyzing one brain, we consider connectivity between two (or more) brains simultaneously.\n", + "\n", + "### Hyperscanning Graph Structure\n", + "\n", + "```\n", + " Subject 1 Subject 2\n", + " ┌─────────────────┐ ┌─────────────────┐\n", + " │ Intra-brain │ │ Intra-brain │\n", + " │ connectivity │ │ connectivity │\n", + " │ (within S1) │ │ (within S2) │\n", + " └────────┬────────┘ └────────┬────────┘\n", + " │ Inter-brain │\n", + " └──── connectivity ────┘\n", + " (between S1-S2)\n", + "```\n", + "\n", + "### Types of Connections\n", + "\n", + "| Type | Description | What it measures |\n", + "|------|-------------|------------------|\n", + "| **Intra-brain** | Connections within one brain | Individual neural organization |\n", + "| **Inter-brain** | Connections between brains | Neural synchrony during interaction |\n", + "\n", + "### Key Hyperscanning Metrics\n", + "\n", + "- **Inter-brain connectivity density**: How many inter-brain connections exist\n", + "- **Intra/Inter ratio**: Balance between within and between brain connections \n", + "- **Cross-brain hubs**: Electrodes that bridge the two brains" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "04f0167b", + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 12: Hyperscanning dual-brain network\n", + "\n", + "# Create two \"brains\" with 5 electrodes each\n", + "n_per_brain = 5\n", + "n_total = n_per_brain * 2\n", + "\n", + "# Electrode labels\n", + "labels_s1 = ['F3₁', 'C3₁', 'P3₁', 'F4₁', 'C4₁'] # Subject 1\n", + "labels_s2 = ['F3₂', 'C3₂', 'P3₂', 'F4₂', 'C4₂'] # Subject 2\n", + "all_labels = labels_s1 + labels_s2\n", + "\n", + "# Positions: two heads side by side\n", + "pos_s1 = np.array([\n", + " [-2.3, 0.5], # F3\n", + " [-2.7, 0.0], # C3\n", + " [-2.3, -0.5], # P3\n", + " [-1.7, 0.5], # F4\n", + " [-1.3, 0.0], # C4\n", + "])\n", + "\n", + "pos_s2 = np.array([\n", + " [1.7, 0.5], # F3\n", + " [1.3, 0.0], # C3\n", + " [1.7, -0.5], # P3\n", + " [2.3, 0.5], # F4\n", + " [2.7, 0.0], # C4\n", + "])\n", + "\n", + "all_positions = np.vstack([pos_s1, pos_s2])\n", + "\n", + "# Create hyperscanning connectivity matrix\n", + "np.random.seed(222)\n", + "hyper_connectivity = np.zeros((n_total, n_total))\n", + "\n", + "# Intra-brain connections (within each subject) - stronger\n", + "for brain_start in [0, n_per_brain]:\n", + " for i in range(brain_start, brain_start + n_per_brain):\n", + " for j in range(i + 1, brain_start + n_per_brain):\n", + " hyper_connectivity[i, j] = np.random.rand() * 0.4 + 0.4 # 0.4-0.8\n", + " hyper_connectivity[j, i] = hyper_connectivity[i, j]\n", + "\n", + "# Inter-brain connections (between subjects) - weaker but present\n", + "for i in range(n_per_brain):\n", + " for j in range(n_per_brain, n_total):\n", + " # Homologous electrodes have stronger inter-brain sync\n", + " if i == (j - n_per_brain): # Same electrode position\n", + " hyper_connectivity[i, j] = np.random.rand() * 0.3 + 0.5 # 0.5-0.8\n", + " else:\n", + " hyper_connectivity[i, j] = np.random.rand() * 0.3 + 0.1 # 0.1-0.4\n", + " hyper_connectivity[j, i] = hyper_connectivity[i, j]\n", + "\n", + "# Threshold\n", + "threshold_hyper = 0.5\n", + "hyper_binary = (hyper_connectivity > threshold_hyper).astype(float)\n", + "\n", + "# Count connection types\n", + "intra_s1 = np.sum(hyper_binary[:n_per_brain, :n_per_brain]) / 2\n", + "intra_s2 = np.sum(hyper_binary[n_per_brain:, n_per_brain:]) / 2\n", + "inter_brain = np.sum(hyper_binary[:n_per_brain, n_per_brain:])\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "# Left: Connectivity matrix with blocks highlighted\n", + "ax1 = axes[0]\n", + "im = ax1.imshow(hyper_connectivity, cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "\n", + "# Draw block boundaries\n", + "ax1.axhline(y=n_per_brain - 0.5, color='white', lw=2)\n", + "ax1.axvline(x=n_per_brain - 0.5, color='white', lw=2)\n", + "\n", + "# Add block labels\n", + "ax1.text(n_per_brain/2 - 0.5, -1.2, 'Subject 1', ha='center', fontsize=9, fontweight='bold')\n", + "ax1.text(n_per_brain + n_per_brain/2 - 0.5, -1.2, 'Subject 2', ha='center', fontsize=9, fontweight='bold')\n", + "\n", + "ax1.set_xticks(range(n_total))\n", + "ax1.set_yticks(range(n_total))\n", + "ax1.set_xticklabels(all_labels, fontsize=7, rotation=45)\n", + "ax1.set_yticklabels(all_labels, fontsize=7)\n", + "ax1.set_title('Hyperscanning Connectivity Matrix', fontsize=11, fontweight='bold')\n", + "plt.colorbar(im, ax=ax1, label='PLV', shrink=0.8)\n", + "\n", + "# Annotate blocks\n", + "ax1.annotate('Intra S1', xy=(1.5, 1.5), fontsize=8, color='white', ha='center', fontweight='bold')\n", + "ax1.annotate('Intra S2', xy=(6.5, 6.5), fontsize=8, color='white', ha='center', fontweight='bold')\n", + "ax1.annotate('Inter-brain', xy=(6.5, 1.5), fontsize=8, color='black', ha='center', fontweight='bold')\n", + "\n", + "# Middle: Dual-brain network visualization\n", + "ax2 = axes[1]\n", + "\n", + "# Draw two head outlines\n", + "for cx in [-2, 2]:\n", + " theta_head = np.linspace(0, 2*np.pi, 100)\n", + " ax2.plot(cx + 0.9*np.cos(theta_head), 0.9*np.sin(theta_head), 'k-', lw=2)\n", + " ax2.plot([cx], [1.0], 'v', color='black', markersize=8) # Nose\n", + "\n", + "# Draw edges with different colors for intra vs inter\n", + "for i in range(n_total):\n", + " for j in range(i+1, n_total):\n", + " if hyper_connectivity[i, j] > threshold_hyper:\n", + " # Determine edge type\n", + " i_is_s1 = i < n_per_brain\n", + " j_is_s1 = j < n_per_brain\n", + " \n", + " if i_is_s1 == j_is_s1: # Intra-brain\n", + " color = COLORS[\"signal_1\"] if i_is_s1 else COLORS[\"signal_2\"]\n", + " lw = 2\n", + " else: # Inter-brain\n", + " color = COLORS[\"signal_4\"]\n", + " lw = 3\n", + " \n", + " ax2.plot([all_positions[i, 0], all_positions[j, 0]],\n", + " [all_positions[i, 1], all_positions[j, 1]],\n", + " color=color, lw=lw, alpha=0.7, zorder=1)\n", + "\n", + "# Draw nodes\n", + "for i, (pos, label) in enumerate(zip(all_positions, all_labels)):\n", + " color = COLORS[\"signal_1\"] if i < n_per_brain else COLORS[\"signal_2\"]\n", + " circle = plt.Circle(pos, 0.12, color=color, ec='white', lw=2, zorder=3)\n", + " ax2.add_patch(circle)\n", + " ax2.text(pos[0], pos[1], label[:2], ha='center', va='center',\n", + " fontsize=7, fontweight='bold', color='white', zorder=4)\n", + "\n", + "ax2.set_xlim(-3.5, 3.5)\n", + "ax2.set_ylim(-1.5, 1.5)\n", + "ax2.set_aspect('equal')\n", + "ax2.axis('off')\n", + "ax2.set_title('Dual-Brain Network\\n(Gold = Inter-brain connections)', fontsize=11, fontweight='bold')\n", + "\n", + "# Labels\n", + "ax2.text(-2, -1.3, 'Subject 1', ha='center', fontsize=10, fontweight='bold', color=COLORS[\"signal_1\"])\n", + "ax2.text(2, -1.3, 'Subject 2', ha='center', fontsize=10, fontweight='bold', color=COLORS[\"signal_2\"])\n", + "\n", + "# Right: Connection type breakdown\n", + "ax3 = axes[2]\n", + "conn_types = ['Intra S1', 'Intra S2', 'Inter-brain']\n", + "conn_counts = [intra_s1, intra_s2, inter_brain]\n", + "conn_colors = [COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_4\"]]\n", + "\n", + "bars = ax3.bar(conn_types, conn_counts, color=conn_colors, alpha=0.8, edgecolor='white', lw=2)\n", + "ax3.set_ylabel('Number of Connections')\n", + "ax3.set_title('Connection Types', fontsize=11, fontweight='bold')\n", + "\n", + "for bar, count in zip(bars, conn_counts):\n", + " ax3.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.1,\n", + " f'{int(count)}', ha='center', fontsize=10, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Hyperscanning network analysis:\")\n", + "print(f\" - Intra-brain connections (S1): {int(intra_s1)}\")\n", + "print(f\" - Intra-brain connections (S2): {int(intra_s2)}\")\n", + "print(f\" - Inter-brain connections: {int(inter_brain)}\")\n", + "print(f\" - Inter/Total ratio: {inter_brain / (intra_s1 + intra_s2 + inter_brain):.2%}\")" + ] + }, + { + "cell_type": "markdown", + "id": "697ff08e", + "metadata": {}, + "source": [ + "## 12. Exercises\n", + "\n", + "Test your understanding of graph theory concepts with these exercises." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "192283f5", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: Compute graph metrics for this network\n", + "# Given the adjacency matrix below, compute:\n", + "# 1. Degree of each node\n", + "# 2. Global clustering coefficient\n", + "# 3. Characteristic path length (if connected)\n", + "\n", + "exercise_matrix = np.array([\n", + " [0, 1, 1, 0, 0, 0],\n", + " [1, 0, 1, 1, 0, 0],\n", + " [1, 1, 0, 0, 1, 0],\n", + " [0, 1, 0, 0, 1, 1],\n", + " [0, 0, 1, 1, 0, 1],\n", + " [0, 0, 0, 1, 1, 0],\n", + "])\n", + "\n", + "# YOUR CODE HERE\n", + "# degrees = ...\n", + "# clustering = ...\n", + "# path_length = ...\n", + "\n", + "# Uncomment to check your answers:\n", + "# print(f\"Degrees: {degrees}\")\n", + "# print(f\"Global clustering: {clustering:.3f}\")\n", + "# print(f\"Path length: {path_length:.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ebe42fbe", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1 - Solution (run to verify)\n", + "\n", + "degrees = compute_degree(exercise_matrix)\n", + "clustering = compute_global_clustering(exercise_matrix)\n", + "path_length = compute_characteristic_path_length(exercise_matrix)\n", + "\n", + "print(\"Exercise 1 - Solution:\")\n", + "print(f\" Degrees: {degrees.astype(int)}\")\n", + "print(f\" Global clustering: {clustering:.3f}\")\n", + "print(f\" Path length: {path_length:.3f}\" if not np.isinf(path_length) else \" Path length: ∞ (disconnected)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1591cc08", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Threshold effect\n", + "# Given the weighted connectivity matrix below, find the threshold that:\n", + "# 1. Keeps exactly 6 edges\n", + "# 2. Keeps the network connected\n", + "\n", + "weighted_exercise = np.array([\n", + " [0.0, 0.8, 0.3, 0.2],\n", + " [0.8, 0.0, 0.6, 0.4],\n", + " [0.3, 0.6, 0.0, 0.7],\n", + " [0.2, 0.4, 0.7, 0.0],\n", + "])\n", + "\n", + "# YOUR CODE HERE\n", + "# Try different thresholds and check the number of edges and connectivity\n", + "\n", + "# thresholds_to_try = [0.2, 0.3, 0.4, 0.5, 0.6, 0.7]\n", + "# for t in thresholds_to_try:\n", + "# binary = (weighted_exercise > t).astype(float)\n", + "# n_edges = np.sum(binary) / 2\n", + "# L = compute_characteristic_path_length(binary)\n", + "# print(f\"Threshold {t}: {n_edges:.0f} edges, connected={not np.isinf(L)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "af1bf241", + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2 - Solution\n", + "\n", + "print(\"Exercise 2 - Solution:\")\n", + "print(\"Threshold analysis:\")\n", + "thresholds_to_try = [0.2, 0.3, 0.4, 0.5, 0.6, 0.7]\n", + "for t in thresholds_to_try:\n", + " binary = (weighted_exercise > t).astype(float)\n", + " n_edges = np.sum(binary) / 2\n", + " L = compute_characteristic_path_length(binary)\n", + " connected = \"✓\" if not np.isinf(L) else \"✗\"\n", + " print(f\" Threshold {t}: {n_edges:.0f} edges, connected={connected}\")\n", + "\n", + "print(\"\\n→ Threshold 0.3 gives exactly 4 edges and keeps the network connected\")" + ] + }, + { + "cell_type": "markdown", + "id": "d9350bc2", + "metadata": {}, + "source": [ + "## 13. Summary\n", + "\n", + "### Key Concepts\n", + "\n", + "| Concept | Definition | Application |\n", + "|---------|------------|-------------|\n", + "| **Graph** | Nodes connected by edges | Represent brain regions and their connections |\n", + "| **Adjacency Matrix** | Matrix representation of a graph | Store connectivity values |\n", + "| **Degree** | Number of connections per node | Identify highly connected regions |\n", + "| **Clustering Coefficient** | Local connectivity density | Measure functional segregation |\n", + "| **Path Length** | Average shortest path between nodes | Measure integration efficiency |\n", + "| **Small-World** | High clustering + short paths | Brain network organization |\n", + "| **Hubs** | Highly central nodes | Key information relay points |\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **Graphs provide a powerful framework** for analyzing brain connectivity\n", + "2. **Thresholding is critical** - it determines which connections are considered\n", + "3. **Multiple metrics needed** - no single metric captures all network properties\n", + "4. **Small-world networks** balance segregation and integration\n", + "5. **For hyperscanning**, distinguish intra-brain and inter-brain connections\n", + "\n", + "### What's Next?\n", + "\n", + "In **E02: Introduction to Hyperscanning**, we will:\n", + "- Learn about hyperscanning experimental setups\n", + "- Understand inter-brain synchronization\n", + "- Apply graph concepts to dual-brain data" + ] + }, + { + "cell_type": "markdown", + "id": "228975fb", + "metadata": {}, + "source": [ + "## 14. Discussion Questions\n", + "\n", + "1. **Why is threshold selection so important in graph analysis?**\n", + " - What happens if threshold is too low? Too high?\n", + " - How would you choose an appropriate threshold for your data?\n", + "\n", + "2. **When would you prefer Global Efficiency over Path Length?**\n", + " - Think about disconnected networks and real-world brain data\n", + "\n", + "3. **What makes brain networks \"small-world\"?**\n", + " - Why is this organization beneficial for information processing?\n", + "\n", + "4. **In hyperscanning, what does high inter-brain connectivity indicate?**\n", + " - How might this differ between cooperative vs. competitive tasks?\n", + "\n", + "---\n", + "\n", + "*Notebook completed. Run time: ~65 minutes.*" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/01_foundations/E_hyperscanning_context/E02_introduction_hyperscanning.ipynb b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/E_hyperscanning_context/E02_introduction_hyperscanning.ipynb new file mode 100644 index 0000000..e2f5134 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/01_foundations/E_hyperscanning_context/E02_introduction_hyperscanning.ipynb @@ -0,0 +1,3101 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": null, + "id": "3fd14014", + "metadata": {}, + "outputs": [], + "source": [ + "# Standard imports\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from matplotlib.patches import Circle, FancyArrowPatch, Wedge, Rectangle\n", + "from matplotlib.collections import PatchCollection\n", + "from numpy.typing import NDArray\n", + "from typing import Tuple, Optional, Dict, Any, List, Callable\n", + "\n", + "# Local imports\n", + "import sys\n", + "sys.path.append(\"../../..\")\n", + "from src.colors import COLORS\n", + "\n", + "# Configure matplotlib\n", + "plt.rcParams.update({\n", + " 'figure.figsize': (10, 6),\n", + " 'font.size': 11,\n", + " 'axes.titlesize': 12,\n", + " 'axes.labelsize': 11,\n", + " 'xtick.labelsize': 10,\n", + " 'ytick.labelsize': 10,\n", + " 'legend.fontsize': 10,\n", + " 'axes.spines.top': False,\n", + " 'axes.spines.right': False,\n", + " 'axes.grid': False,\n", + " 'figure.facecolor': 'white',\n", + " 'axes.facecolor': 'white'\n", + "})\n", + "\n", + "print(\"Imports successful!\")" + ] + }, + { + "cell_type": "markdown", + "id": "f709ffb1", + "metadata": {}, + "source": [ + "---\n", + "## Section 1: Introduction — What is Hyperscanning?\n", + "\n", + "Traditional neuroscience studies one brain at a time. A participant lies in an fMRI scanner alone, or sits with an EEG cap watching stimuli on a screen. This approach has taught us enormous amounts about how individual brains work — but it misses something crucial about what makes us human.\n", + "\n", + "**Social interaction is a TWO-brain phenomenon.** When you have a conversation, play music together, or collaborate on a task, your brain doesn't operate in isolation — it's constantly adapting to, predicting, and coordinating with another brain. \"It takes two to tango,\" as they say, and yet most of neuroscience has been trying to understand dancing by watching one dancer at a time.\n", + "\n", + "**Hyperscanning** changes this. The term comes from \"hyper\" (beyond) + \"scanning\" (brain imaging), meaning: going beyond single-brain recordings to simultaneously capture brain activity from two or more interacting individuals.\n", + "\n", + "### Historical Context\n", + "\n", + "The field began with Montague et al. in 2002, who first demonstrated two-person fMRI while participants played economic games. EEG hyperscanning soon followed, offering practical advantages: better temporal resolution (milliseconds vs seconds), more natural settings, and easier setup for face-to-face interaction.\n", + "\n", + "Today, hyperscanning studies use EEG, fNIRS, fMRI, and even MEG. The core question remains beautifully simple:\n", + "\n", + "> **Do our brains synchronize during social interaction?**\n", + "> \n", + "> And if so — what does it mean? What drives it? What are the consequences?\n", + "\n", + "This notebook introduces the foundations of hyperscanning. We'll explore why it matters, what challenges it presents, how to structure the data, and how to think about analyzing inter-brain connectivity. By the end, you'll be ready to dive into the specific connectivity metrics in the following notebooks.\n", + "\n", + "> 💡 **Key insight**: Hyperscanning lets us study the social brain IN social context — capturing the dynamic, bidirectional coupling that makes human interaction so rich." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "853ca989", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 1: Hyperscanning Concept — Two Brains in Interaction\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 7))\n", + "\n", + "# Draw two stylized heads facing each other\n", + "def draw_head(ax: plt.Axes, x_center: float, y_center: float, \n", + " facing_right: bool, color: str, label: str) -> None:\n", + " \"\"\"Draw a stylized head with EEG electrodes.\"\"\"\n", + " # Head circle\n", + " head = Circle((x_center, y_center), 0.35, color=color, alpha=0.3, zorder=1)\n", + " ax.add_patch(head)\n", + " head_outline = Circle((x_center, y_center), 0.35, fill=False, \n", + " edgecolor=color, linewidth=2, zorder=2)\n", + " ax.add_patch(head_outline)\n", + " \n", + " # EEG electrodes (small circles on the head)\n", + " electrode_positions = [\n", + " (0.0, 0.30), # Fz-like\n", + " (0.0, 0.0), # Cz-like\n", + " (0.0, -0.25), # Pz-like\n", + " (-0.20, 0.15), # F3/F4-like\n", + " (0.20, 0.15),\n", + " (-0.20, -0.10), # C3/C4-like\n", + " (0.20, -0.10),\n", + " ]\n", + " for dx, dy in electrode_positions:\n", + " electrode = Circle((x_center + dx, y_center + dy), 0.04, \n", + " color=color, zorder=3)\n", + " ax.add_patch(electrode)\n", + " \n", + " # Nose indicator (triangle pointing in facing direction)\n", + " nose_x = x_center + (0.35 if facing_right else -0.35)\n", + " nose_dx = 0.1 if facing_right else -0.1\n", + " ax.plot([nose_x, nose_x + nose_dx, nose_x], \n", + " [y_center + 0.05, y_center, y_center - 0.05],\n", + " color=color, linewidth=2, zorder=2)\n", + " \n", + " # Label\n", + " ax.text(x_center, y_center - 0.55, label, ha='center', va='top',\n", + " fontsize=14, fontweight='bold', color=color)\n", + "\n", + "# Draw two heads\n", + "draw_head(ax, -0.7, 0, facing_right=True, color=COLORS[\"signal_1\"], label=\"Participant 1\")\n", + "draw_head(ax, 0.7, 0, facing_right=False, color=COLORS[\"signal_2\"], label=\"Participant 2\")\n", + "\n", + "# Draw brain waves emanating from each head\n", + "t = np.linspace(0, 2 * np.pi, 100)\n", + "\n", + "# Waves from P1 (going right)\n", + "for i, y_offset in enumerate([-0.15, 0, 0.15]):\n", + " wave_x = np.linspace(-0.3, 0.0, 50)\n", + " wave_y = 0.05 * np.sin(6 * wave_x * np.pi + i) + y_offset\n", + " alpha = 0.8 - i * 0.2\n", + " ax.plot(wave_x, wave_y, color=COLORS[\"signal_1\"], alpha=alpha, linewidth=2)\n", + "\n", + "# Waves from P2 (going left)\n", + "for i, y_offset in enumerate([-0.15, 0, 0.15]):\n", + " wave_x = np.linspace(0.0, 0.3, 50)\n", + " wave_y = 0.05 * np.sin(6 * wave_x * np.pi + i + 0.3) + y_offset\n", + " alpha = 0.8 - i * 0.2\n", + " ax.plot(wave_x, wave_y, color=COLORS[\"signal_2\"], alpha=alpha, linewidth=2)\n", + "\n", + "# Central synchronization symbol\n", + "sync_circle = Circle((0, 0), 0.12, fill=False, edgecolor=COLORS[\"high_sync\"],\n", + " linewidth=3, linestyle='--', zorder=4)\n", + "ax.add_patch(sync_circle)\n", + "ax.text(0, 0, \"⟷\", ha='center', va='center', fontsize=20, \n", + " color=COLORS[\"high_sync\"], fontweight='bold', zorder=5)\n", + "\n", + "# Title and annotations\n", + "ax.text(0, 0.7, \"Hyperscanning\", ha='center', va='bottom',\n", + " fontsize=18, fontweight='bold', color=COLORS[\"text\"])\n", + "ax.text(0, 0.55, \"Simultaneous brain recording from interacting individuals\",\n", + " ha='center', va='bottom', fontsize=11, style='italic', color=COLORS[\"grid\"])\n", + "\n", + "# Bottom annotation\n", + "ax.text(0, -0.75, \"Do their brain signals synchronize?\",\n", + " ha='center', va='top', fontsize=12, color=COLORS[\"text\"])\n", + "\n", + "ax.set_xlim(-1.5, 1.5)\n", + "ax.set_ylim(-0.9, 0.9)\n", + "ax.set_aspect('equal')\n", + "ax.axis('off')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 1: Hyperscanning concept\")\n", + "print(\" Two participants with EEG caps, brain signals potentially synchronizing\")\n", + "print(\" The central question: do brains couple during social interaction?\")" + ] + }, + { + "cell_type": "markdown", + "id": "46afe43a", + "metadata": {}, + "source": [ + "---\n", + "## Section 2: Why Hyperscanning Matters\n", + "\n", + "### The Social Brain Hypothesis\n", + "\n", + "Human brains are remarkable for many reasons, but perhaps most remarkable is our social cognition. The \"social brain hypothesis\" proposes that our large brains evolved primarily to handle the complexities of social life — keeping track of relationships, predicting others' behavior, cooperating and competing in groups.\n", + "\n", + "Yet traditional neuroscience has mostly studied social cognition in isolation:\n", + "- Watch videos of faces → not a real interaction\n", + "- Imagine social scenarios → artificial, no actual partner\n", + "- Play games against a computer → no real stakes of social reputation\n", + "\n", + "What's missing is the **real-time, bidirectional, dynamic exchange** that characterizes actual human interaction.\n", + "\n", + "### What Hyperscanning Reveals\n", + "\n", + "Studies using hyperscanning have discovered fascinating phenomena:\n", + "\n", + "- **Inter-brain synchrony correlates with rapport**: People who \"click\" show more synchronized brain activity\n", + "- **Synchrony predicts cooperation success**: Teams with higher brain coupling perform better\n", + "- **Leader-follower dynamics are visible**: One brain can \"lead\" another in time\n", + "- **Shared attention creates shared patterns**: Looking at the same thing together synchronizes brains\n", + "\n", + "### Applications Across Domains\n", + "\n", + "Hyperscanning has applications far beyond basic research:\n", + "\n", + "| Domain | Application | Finding |\n", + "|--------|-------------|----------|\n", + "| **Education** | Teacher-student dynamics | Synchrony predicts learning outcomes |\n", + "| **Clinical** | Therapist-patient rapport | Synchrony relates to therapeutic alliance |\n", + "| **Development** | Parent-child bonding | Attachment quality visible in brain coupling |\n", + "| **Performance** | Music, sports, teams | Coordination linked to neural synchrony |\n", + "| **Communication** | Conversation, storytelling | Speaker-listener coupling during understanding |" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4ac1c829", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 2: Applications of Hyperscanning\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 10))\n", + "\n", + "# Application domains with text abbreviations (no emojis for font compatibility)\n", + "domains = [\n", + " {\"name\": \"Education\", \"abbrev\": \"EDU\", \"desc\": \"Teacher-student\\nlearning\"},\n", + " {\"name\": \"Clinical\", \"abbrev\": \"CLN\", \"desc\": \"Therapist-patient\\nrapport\"},\n", + " {\"name\": \"Development\", \"abbrev\": \"DEV\", \"desc\": \"Parent-child\\nbonding\"},\n", + " {\"name\": \"Music\", \"abbrev\": \"MUS\", \"desc\": \"Musical\\ncoordination\"},\n", + " {\"name\": \"Sports\", \"abbrev\": \"SPT\", \"desc\": \"Team\\ncoordination\"},\n", + " {\"name\": \"Communication\", \"abbrev\": \"COM\", \"desc\": \"Conversation\\nunderstanding\"},\n", + "]\n", + "\n", + "# Define colors for each domain\n", + "domain_colors = [\n", + " COLORS[\"signal_1\"], # Education\n", + " COLORS[\"signal_2\"], # Clinical\n", + " COLORS[\"signal_3\"], # Development\n", + " COLORS[\"signal_4\"], # Music\n", + " COLORS[\"signal_5\"], # Sports\n", + " COLORS[\"signal_6\"], # Communication\n", + "]\n", + "\n", + "# Draw central hub\n", + "center_circle = Circle((0, 0), 0.25, color=COLORS[\"high_sync\"], alpha=0.9, zorder=3)\n", + "ax.add_patch(center_circle)\n", + "ax.text(0, 0.03, \"Hyper-\", ha='center', va='center', fontsize=12, \n", + " fontweight='bold', color='white', zorder=4)\n", + "ax.text(0, -0.08, \"scanning\", ha='center', va='center', fontsize=12, \n", + " fontweight='bold', color='white', zorder=4)\n", + "\n", + "# Draw domains around center\n", + "n_domains = len(domains)\n", + "radius = 0.7\n", + "angles = np.linspace(np.pi/2, np.pi/2 - 2*np.pi, n_domains, endpoint=False)\n", + "\n", + "for i, (domain, angle, color) in enumerate(zip(domains, angles, domain_colors)):\n", + " x = radius * np.cos(angle)\n", + " y = radius * np.sin(angle)\n", + " \n", + " # Domain circle (slightly more opaque)\n", + " domain_circle = Circle((x, y), 0.18, color=color, alpha=0.4, zorder=2)\n", + " ax.add_patch(domain_circle)\n", + " domain_outline = Circle((x, y), 0.18, fill=False, edgecolor=color, \n", + " linewidth=2.5, zorder=2)\n", + " ax.add_patch(domain_outline)\n", + " \n", + " # Connection line to center\n", + " ax.plot([0, x * 0.5], [0, y * 0.5], color=color, linewidth=2, \n", + " alpha=0.6, zorder=1)\n", + " \n", + " # Abbreviation text inside circle (instead of emoji)\n", + " ax.text(x, y, domain[\"abbrev\"], ha='center', va='center', \n", + " fontsize=11, fontweight='bold', color=color, zorder=3)\n", + " \n", + " # Domain name (outside)\n", + " text_radius = radius + 0.28\n", + " text_x = text_radius * np.cos(angle)\n", + " text_y = text_radius * np.sin(angle)\n", + " ax.text(text_x, text_y, domain[\"name\"], ha='center', va='center',\n", + " fontsize=13, fontweight='bold', color=color)\n", + " \n", + " # Description (even further out) - use darker color for readability\n", + " desc_radius = radius + 0.45\n", + " desc_x = desc_radius * np.cos(angle)\n", + " desc_y = desc_radius * np.sin(angle)\n", + " ax.text(desc_x, desc_y, domain[\"desc\"], ha='center', va='center',\n", + " fontsize=10, color=COLORS[\"text\"], style='italic')\n", + "\n", + "ax.set_xlim(-1.4, 1.4)\n", + "ax.set_ylim(-1.4, 1.4)\n", + "ax.set_aspect('equal')\n", + "ax.axis('off')\n", + "\n", + "ax.set_title(\"Hyperscanning Applications Across Domains\", \n", + " fontsize=14, fontweight='bold', pad=20)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 2: Hyperscanning applications\")\n", + "print(\" Research spans education, clinical, developmental, and performance domains\")\n", + "print(\" Common thread: understanding brain coupling during social interaction\")" + ] + }, + { + "cell_type": "markdown", + "id": "95cf4f58", + "metadata": {}, + "source": [ + "---\n", + "## Section 3: Common Hyperscanning Paradigms\n", + "\n", + "Hyperscanning studies use diverse experimental paradigms, each designed to probe different aspects of social interaction. Here are the main categories:\n", + "\n", + "### Cooperation Tasks\n", + "Participants work together toward a shared goal:\n", + "- **Joint button pressing**: Synchronize actions to hit targets together\n", + "- **Cooperative games**: Solve puzzles or navigate challenges as a team\n", + "- **Construction tasks**: Build something together (physical or virtual)\n", + "\n", + "*Research question*: Does neural synchrony support successful cooperation?\n", + "\n", + "### Communication Tasks\n", + "Information exchange between participants:\n", + "- **Conversation**: Structured or free-form dialogue\n", + "- **Storytelling**: One speaks, one listens\n", + "- **Teaching-learning**: Knowledge transfer situations\n", + "\n", + "*Research question*: How does information flow between brains during communication?\n", + "\n", + "### Joint Attention Tasks\n", + "Sharing focus on the same object or event:\n", + "- **Shared visual attention**: Looking at the same thing together\n", + "- **Following gaze**: One directs, one follows\n", + "- **Object manipulation**: Jointly attending to manipulated objects\n", + "\n", + "*Research question*: Does shared attention synchronize brains?\n", + "\n", + "### Imitation & Synchronization Tasks\n", + "Coordinating movements:\n", + "- **Mirror movements**: Copy each other's gestures\n", + "- **Musical coordination**: Drumming, singing, playing together\n", + "- **Dance**: Coordinated movement to music\n", + "\n", + "*Research question*: Does behavioral synchrony drive neural synchrony?\n", + "\n", + "### Competition Tasks\n", + "Opposing goals:\n", + "- **Economic games**: Prisoner's dilemma, ultimatum game\n", + "- **Strategic games**: Chess, competitive video games\n", + "- **Sports competition**: Head-to-head physical competition\n", + "\n", + "*Research question*: Does competition synchronize or desynchronize brains?\n", + "\n", + "### Naturalistic Paradigms\n", + "Unconstrained interaction:\n", + "- **Free conversation**: Natural dialogue without script\n", + "- **Real-world settings**: Cafes, classrooms, living rooms\n", + "\n", + "*Research question*: What happens in ecologically valid contexts?" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a5995ebb", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 3: Hyperscanning Paradigms\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(14, 9))\n", + "\n", + "# Define paradigms with simple visual representations\n", + "paradigms = [\n", + " {\"name\": \"Cooperation\", \"desc\": \"Working together\\ntoward shared goal\"},\n", + " {\"name\": \"Communication\", \"desc\": \"Speaking and\\nlistening\"},\n", + " {\"name\": \"Joint Attention\", \"desc\": \"Looking at the\\nsame thing\"},\n", + " {\"name\": \"Imitation\", \"desc\": \"Coordinating\\nmovements\"},\n", + " {\"name\": \"Competition\", \"desc\": \"Opposing\\ngoals\"},\n", + " {\"name\": \"Naturalistic\", \"desc\": \"Free\\ninteraction\"},\n", + "]\n", + "\n", + "paradigm_colors = [\n", + " COLORS[\"signal_1\"], COLORS[\"signal_2\"], COLORS[\"signal_3\"],\n", + " COLORS[\"signal_4\"], COLORS[\"signal_5\"], COLORS[\"signal_6\"],\n", + "]\n", + "\n", + "for idx, (ax, paradigm, color) in enumerate(zip(axes.flat, paradigms, paradigm_colors)):\n", + " # Draw two simple heads\n", + " head_y = 0.3\n", + " \n", + " # Left head\n", + " left_head = Circle((-0.4, head_y), 0.25, color=COLORS[\"signal_1\"], alpha=0.6)\n", + " ax.add_patch(left_head)\n", + " \n", + " # Right head\n", + " right_head = Circle((0.4, head_y), 0.25, color=COLORS[\"signal_2\"], alpha=0.6)\n", + " ax.add_patch(right_head)\n", + " \n", + " # Task-specific visual element\n", + " if paradigm[\"name\"] == \"Cooperation\":\n", + " # Arrows pointing to same target\n", + " ax.annotate(\"\", xy=(0, -0.1), xytext=(-0.3, 0.1),\n", + " arrowprops=dict(arrowstyle=\"->\", color=color, lw=2))\n", + " ax.annotate(\"\", xy=(0, -0.1), xytext=(0.3, 0.1),\n", + " arrowprops=dict(arrowstyle=\"->\", color=color, lw=2))\n", + " target = Circle((0, -0.2), 0.1, color=color, alpha=0.8)\n", + " ax.add_patch(target)\n", + " \n", + " elif paradigm[\"name\"] == \"Communication\":\n", + " # Speech waves\n", + " for i, offset in enumerate([0.1, 0.2, 0.3]):\n", + " wave_x = np.linspace(-0.1 + offset, 0.1 + offset, 20)\n", + " wave_y = 0.05 * np.sin(wave_x * 30) + head_y\n", + " ax.plot(wave_x, wave_y, color=color, lw=2, alpha=0.8-i*0.2)\n", + " \n", + " elif paradigm[\"name\"] == \"Joint Attention\":\n", + " # Both looking at same object\n", + " obj = Circle((0, -0.15), 0.12, color=color, alpha=0.8)\n", + " ax.add_patch(obj)\n", + " ax.plot([-0.2, 0], [0.15, -0.05], color=COLORS[\"signal_1\"], lw=2, ls='--', alpha=0.6)\n", + " ax.plot([0.2, 0], [0.15, -0.05], color=COLORS[\"signal_2\"], lw=2, ls='--', alpha=0.6)\n", + " \n", + " elif paradigm[\"name\"] == \"Imitation\":\n", + " # Mirrored arrows\n", + " ax.annotate(\"\", xy=(-0.2, -0.1), xytext=(-0.5, -0.1),\n", + " arrowprops=dict(arrowstyle=\"->\", color=color, lw=2))\n", + " ax.annotate(\"\", xy=(0.5, -0.1), xytext=(0.2, -0.1),\n", + " arrowprops=dict(arrowstyle=\"->\", color=color, lw=2))\n", + " ax.text(0, -0.1, \"↔\", ha='center', va='center', fontsize=20, color=color)\n", + " \n", + " elif paradigm[\"name\"] == \"Competition\":\n", + " # Opposing arrows\n", + " ax.annotate(\"\", xy=(0.05, -0.05), xytext=(-0.3, -0.05),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"signal_1\"], lw=2))\n", + " ax.annotate(\"\", xy=(-0.05, -0.15), xytext=(0.3, -0.15),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"signal_2\"], lw=2))\n", + " ax.text(0, -0.1, \"⚔\", ha='center', va='center', fontsize=18, color=color)\n", + " \n", + " elif paradigm[\"name\"] == \"Naturalistic\":\n", + " # Free wavy lines between them\n", + " x_wave = np.linspace(-0.15, 0.15, 40)\n", + " for i in range(3):\n", + " y_wave = 0.08 * np.sin(x_wave * 15 + i) + head_y - 0.35 - i * 0.1\n", + " ax.plot(x_wave, y_wave, color=color, lw=2, alpha=0.6)\n", + " \n", + " # Title\n", + " ax.set_title(paradigm[\"name\"], fontsize=13, fontweight='bold', color=color, pad=10)\n", + " \n", + " # Description below\n", + " ax.text(0, -0.5, paradigm[\"desc\"], ha='center', va='top', fontsize=9,\n", + " color=COLORS[\"grid\"], style='italic')\n", + " \n", + " ax.set_xlim(-0.8, 0.8)\n", + " ax.set_ylim(-0.65, 0.7)\n", + " ax.set_aspect('equal')\n", + " ax.axis('off')\n", + "\n", + "plt.suptitle(\"Common Hyperscanning Paradigms\", fontsize=15, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 3: Six categories of hyperscanning paradigms\")\n", + "print(\" Each paradigm probes different aspects of social interaction\")\n", + "print(\" Choice depends on research question and practical constraints\")" + ] + }, + { + "cell_type": "markdown", + "id": "6ea48174", + "metadata": {}, + "source": [ + "---\n", + "## Section 4: Inter-Brain Synchrony — The Core Concept\n", + "\n", + "**Inter-brain synchrony (IBS)** is the central phenomenon of interest in hyperscanning. It refers to the statistical coupling or correlation between brain signals from two different individuals.\n", + "\n", + "### What We Mean by Synchrony\n", + "\n", + "When we say two brains are \"synchronized,\" we mean their signals show some form of statistical dependency:\n", + "\n", + "- **Phase synchrony**: The phases of neural oscillations align across brains\n", + "- **Amplitude coupling**: Power fluctuations rise and fall together\n", + "- **Frequency coupling**: Activity in specific bands correlates\n", + "- **Directed coupling**: One brain's activity predicts the other's\n", + "\n", + "### Important Clarification\n", + "\n", + "Inter-brain synchrony is **NOT**:\n", + "- ❌ Telepathy or direct brain-to-brain communication\n", + "- ❌ Identical brain activity\n", + "- ❌ Proof that brains are \"connected\"\n", + "\n", + "It **IS**:\n", + "- ✅ Statistical dependency between two brain signals\n", + "- ✅ Evidence of shared processing or coordinated dynamics\n", + "- ✅ A correlate of social interaction quality\n", + "\n", + "### Connection to What We've Learned\n", + "\n", + "Here's the beautiful insight: **everything we learned in the foundations applies!**\n", + "\n", + "| Foundation Topic | Application in Hyperscanning |\n", + "|------------------|------------------------------|\n", + "| Phase (B02) | Inter-brain phase synchrony |\n", + "| Amplitude (B03) | Inter-brain amplitude correlation |\n", + "| Coherence (coming in F01) | Inter-brain coherence |\n", + "| PLV (coming in G01) | Inter-brain PLV |\n", + "| Transfer Entropy (D03) | Inter-brain directed influence |\n", + "\n", + "The metrics are identical — we just apply them BETWEEN brains instead of between channels within one brain." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "000de050", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 4: Inter-Brain Synchrony Example\n", + "# =============================================================================\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Create simulated EEG from two participants with CLEAR periods of sync/desync\n", + "fs = 256 # Hz\n", + "duration = 6 # seconds (longer for better illustration)\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Define synchrony periods explicitly\n", + "# Format: (start_time, end_time, is_synchronized)\n", + "sync_periods = [\n", + " (0.0, 1.0, False), # Desync\n", + " (1.0, 2.2, True), # HIGH SYNC\n", + " (2.2, 3.3, False), # Desync\n", + " (3.3, 4.8, True), # HIGH SYNC\n", + " (4.8, 6.0, False), # Desync\n", + "]\n", + "\n", + "# Base alpha frequency\n", + "freq = 10 # Hz\n", + "\n", + "# Generate signals with controlled synchrony\n", + "signal_p1 = np.zeros(n_samples)\n", + "signal_p2 = np.zeros(n_samples)\n", + "\n", + "for start, end, is_sync in sync_periods:\n", + " start_idx = int(start * fs)\n", + " end_idx = int(end * fs)\n", + " segment_t = t[start_idx:end_idx]\n", + " segment_len = end_idx - start_idx\n", + " \n", + " # Participant 1: always has consistent alpha\n", + " phase_1 = 2 * np.pi * freq * segment_t\n", + " seg_p1 = np.sin(phase_1) + 0.3 * np.random.randn(segment_len)\n", + " \n", + " if is_sync:\n", + " # SYNCHRONIZED: P2 follows P1 closely (small phase difference)\n", + " phase_2 = phase_1 + 0.2 # Small constant phase lag\n", + " seg_p2 = np.sin(phase_2) + 0.3 * np.random.randn(segment_len)\n", + " else:\n", + " # DESYNCHRONIZED: P2 has different/drifting phase\n", + " phase_drift = np.cumsum(np.random.randn(segment_len) * 0.15)\n", + " phase_2 = 2 * np.pi * (freq + 0.5) * segment_t + phase_drift\n", + " seg_p2 = np.sin(phase_2) + 0.4 * np.random.randn(segment_len)\n", + " \n", + " signal_p1[start_idx:end_idx] = seg_p1\n", + " signal_p2[start_idx:end_idx] = seg_p2\n", + "\n", + "# Smooth transitions at boundaries\n", + "from scipy.ndimage import gaussian_filter1d\n", + "signal_p1 = gaussian_filter1d(signal_p1, sigma=3)\n", + "signal_p2 = gaussian_filter1d(signal_p2, sigma=3)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 8), height_ratios=[1, 1, 0.8])\n", + "\n", + "# Plot participant 1\n", + "ax1 = axes[0]\n", + "ax1.plot(t, signal_p1, color=COLORS[\"signal_1\"], linewidth=0.8)\n", + "ax1.set_ylabel(\"Amplitude (µV)\", fontsize=11)\n", + "ax1.set_title(\"Participant 1 — Frontal electrode (Fz)\", fontsize=12, fontweight='bold',\n", + " color=COLORS[\"signal_1\"])\n", + "ax1.set_xlim(0, duration)\n", + "ax1.set_ylim(-2, 2)\n", + "ax1.axhline(0, color=COLORS[\"grid\"], linewidth=0.5, alpha=0.5)\n", + "\n", + "# Plot participant 2\n", + "ax2 = axes[1]\n", + "ax2.plot(t, signal_p2, color=COLORS[\"signal_2\"], linewidth=0.8)\n", + "ax2.set_ylabel(\"Amplitude (µV)\", fontsize=11)\n", + "ax2.set_title(\"Participant 2 — Frontal electrode (Fz)\", fontsize=12, fontweight='bold',\n", + " color=COLORS[\"signal_2\"])\n", + "ax2.set_xlim(0, duration)\n", + "ax2.set_ylim(-2, 2)\n", + "ax2.axhline(0, color=COLORS[\"grid\"], linewidth=0.5, alpha=0.5)\n", + "\n", + "# Bottom panel: compute ACTUAL synchrony using sliding window correlation\n", + "ax3 = axes[2]\n", + "\n", + "window_size = int(0.4 * fs) # 400 ms window\n", + "step = int(0.05 * fs) # 50 ms step (smoother)\n", + "n_windows = (n_samples - window_size) // step\n", + "\n", + "sync_values = []\n", + "sync_times = []\n", + "\n", + "for i in range(n_windows):\n", + " start_idx = i * step\n", + " end_idx = start_idx + window_size\n", + " \n", + " # Correlation as synchrony measure\n", + " corr = np.corrcoef(signal_p1[start_idx:end_idx], signal_p2[start_idx:end_idx])[0, 1]\n", + " sync_values.append(max(0, corr)) # Keep positive values\n", + " sync_times.append(t[start_idx + window_size // 2])\n", + "\n", + "sync_times = np.array(sync_times)\n", + "sync_values = np.array(sync_values)\n", + "\n", + "# Now highlight regions based on ACTUAL computed synchrony\n", + "threshold = 0.5\n", + "high_sync_mask = sync_values > threshold\n", + "\n", + "# Find contiguous high-sync regions for highlighting\n", + "in_high_sync = False\n", + "highlight_regions = []\n", + "for i, (time, is_high) in enumerate(zip(sync_times, high_sync_mask)):\n", + " if is_high and not in_high_sync:\n", + " region_start = time\n", + " in_high_sync = True\n", + " elif not is_high and in_high_sync:\n", + " region_end = sync_times[i-1]\n", + " highlight_regions.append((region_start, region_end))\n", + " in_high_sync = False\n", + "if in_high_sync:\n", + " highlight_regions.append((region_start, sync_times[-1]))\n", + "\n", + "# Apply highlights to signal plots\n", + "for start, end in highlight_regions:\n", + " ax1.axvspan(start, end, alpha=0.25, color=COLORS[\"high_sync\"], zorder=0)\n", + " ax2.axvspan(start, end, alpha=0.25, color=COLORS[\"high_sync\"], zorder=0)\n", + "\n", + "# Add \"High sync\" labels only on significant regions (> 0.5s duration)\n", + "significant_regions = [(s, e) for s, e in highlight_regions if (e - s) > 0.5]\n", + "for i, (start, end) in enumerate(significant_regions[:2]): # Label first two\n", + " mid = (start + end) / 2\n", + " ax1.text(mid, 1.7, \"High sync\", fontsize=10, color=COLORS[\"high_sync\"], \n", + " fontweight='bold', ha='center')\n", + "\n", + "# Plot synchrony curve\n", + "ax3.fill_between(sync_times, 0, sync_values, alpha=0.3, color=COLORS[\"high_sync\"])\n", + "ax3.plot(sync_times, sync_values, color=COLORS[\"high_sync\"], linewidth=2)\n", + "ax3.axhline(threshold, color=COLORS[\"grid\"], linestyle='--', linewidth=1.5, alpha=0.8)\n", + "ax3.text(duration - 0.1, threshold + 0.05, \"Threshold\", fontsize=9, \n", + " color=COLORS[\"grid\"], ha='right')\n", + "ax3.set_xlabel(\"Time (s)\", fontsize=11)\n", + "ax3.set_ylabel(\"Synchrony\", fontsize=11)\n", + "ax3.set_title(\"Inter-Brain Synchrony (sliding window correlation)\", fontsize=12, fontweight='bold')\n", + "ax3.set_xlim(0, duration)\n", + "ax3.set_ylim(0, 1)\n", + "\n", + "# Shade high sync regions in bottom panel too\n", + "for start, end in highlight_regions:\n", + " ax3.axvspan(start, end, alpha=0.15, color=COLORS[\"high_sync\"], zorder=0)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 4: Inter-brain synchrony example\")\n", + "print(\" Signals are TRULY synchronized in purple regions (in-phase oscillations)\")\n", + "print(\" Signals are desynchronized in white regions (different phases)\")\n", + "print(f\" Synchrony ranges from {sync_values.min():.2f} to {sync_values.max():.2f}\")\n", + "print(f\" High sync periods: {len(highlight_regions)} detected above threshold {threshold}\")" + ] + }, + { + "cell_type": "markdown", + "id": "4857227a", + "metadata": {}, + "source": [ + "---\n", + "## Section 5: Unique Challenges of Hyperscanning\n", + "\n", + "Hyperscanning brings unique methodological challenges that don't exist in single-brain studies. Being aware of these challenges is crucial for designing and interpreting studies correctly.\n", + "\n", + "### Challenge 1: No Volume Conduction Between Brains ✅\n", + "\n", + "Wait — this is actually an **ADVANTAGE**! \n", + "\n", + "Remember from notebook C01 how volume conduction creates spurious connectivity within a single brain? Different electrodes pick up the same source, creating fake correlations.\n", + "\n", + "In hyperscanning, the two brains are in **separate heads**. There's no shared skull or tissue to conduct signals between them. So any synchrony we observe cannot be an artifact of volume conduction!\n", + "\n", + "However, we must still worry about:\n", + "- Shared electromagnetic interference (e.g., power line noise)\n", + "- Movement artifacts if participants move together\n", + "- Common physiological rhythms (breathing, heartbeat)\n", + "\n", + "### Challenge 2: Behavioral Confounds\n", + "\n", + "People naturally synchronize their behavior during interaction:\n", + "- They match each other's speech patterns\n", + "- They mirror movements\n", + "- They breathe in sync\n", + "\n", + "This behavioral synchrony can create neural synchrony that's not truly \"social\":\n", + "- Synchronized movements → synchronized motor artifacts (EMG)\n", + "- Same visual input → similar visual processing\n", + "- Matched breathing → similar slow oscillations\n", + "\n", + "**Question**: Is the neural synchrony we observe something BEYOND behavioral synchrony?\n", + "\n", + "### Challenge 3: Stimulus-Driven vs. Interaction-Driven Synchrony\n", + "\n", + "This is perhaps the most important confound to understand. If both participants:\n", + "- See the same screen\n", + "- Hear the same sounds\n", + "- Experience the same experimental events\n", + "\n", + "...then both brains will respond similarly to these shared stimuli. This creates \"synchrony\" that has nothing to do with social interaction — it's just both brains processing the same input!\n", + "\n", + "**Solution**: Pseudo-pair analysis (we'll cover this in detail later).\n", + "\n", + "### Challenge 4: Data Structure Complexity\n", + "\n", + "Single-brain connectivity gives us an $n \\times n$ matrix for $n$ channels.\n", + "\n", + "Two-brain connectivity gives us:\n", + "- Within-P1: $n_1 \\times n_1$\n", + "- Within-P2: $n_2 \\times n_2$ \n", + "- Between: $n_1 \\times n_2$\n", + "\n", + "Or combined: $(n_1 + n_2) \\times (n_1 + n_2)$\n", + "\n", + "More channels, more pairs, more multiple comparisons!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "355abf2e", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 5: The Stimulus-Driven Confound\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", + "\n", + "# Left panel: Stimulus-driven synchrony (problematic)\n", + "ax1 = axes[0]\n", + "\n", + "# Draw screen in center\n", + "screen = Rectangle((-0.15, 0.4), 0.3, 0.25, color=COLORS[\"grid\"], alpha=0.5)\n", + "ax1.add_patch(screen)\n", + "ax1.text(0, 0.55, \"Shared\\nStimulus\", ha='center', va='center', fontsize=10, \n", + " fontweight='bold', color='white')\n", + "\n", + "# Two heads looking at screen\n", + "head1 = Circle((-0.5, 0), 0.2, color=COLORS[\"signal_1\"], alpha=0.6)\n", + "ax1.add_patch(head1)\n", + "ax1.text(-0.5, -0.35, \"P1\", ha='center', fontsize=11, fontweight='bold', \n", + " color=COLORS[\"signal_1\"])\n", + "\n", + "head2 = Circle((0.5, 0), 0.2, color=COLORS[\"signal_2\"], alpha=0.6)\n", + "ax1.add_patch(head2)\n", + "ax1.text(0.5, -0.35, \"P2\", ha='center', fontsize=11, fontweight='bold',\n", + " color=COLORS[\"signal_2\"])\n", + "\n", + "# Arrows from screen to both heads (stimulus input)\n", + "ax1.annotate(\"\", xy=(-0.35, 0.15), xytext=(-0.1, 0.42),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"grid\"], lw=2))\n", + "ax1.annotate(\"\", xy=(0.35, 0.15), xytext=(0.1, 0.42),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"grid\"], lw=2))\n", + "\n", + "# \"Synchrony\" between brains (but it's spurious!)\n", + "ax1.annotate(\"\", xy=(0.25, 0), xytext=(-0.25, 0),\n", + " arrowprops=dict(arrowstyle=\"<->\", color=COLORS[\"low_sync\"], \n", + " lw=3, ls='--'))\n", + "ax1.text(0, -0.08, \"Apparent\\nsynchrony\", ha='center', va='top', fontsize=9,\n", + " color=COLORS[\"low_sync\"], style='italic')\n", + "\n", + "# Warning sign\n", + "ax1.text(0, -0.65, \"⚠ Both brains respond to same stimulus\", ha='center',\n", + " fontsize=11, color=COLORS[\"negative\"], fontweight='bold')\n", + "ax1.text(0, -0.8, \"Not social synchrony — just shared input!\", ha='center',\n", + " fontsize=10, color=COLORS[\"grid\"], style='italic')\n", + "\n", + "ax1.set_xlim(-0.9, 0.9)\n", + "ax1.set_ylim(-0.9, 0.8)\n", + "ax1.set_aspect('equal')\n", + "ax1.axis('off')\n", + "ax1.set_title(\"Stimulus-Driven Synchrony (Confound)\", fontsize=13, \n", + " fontweight='bold', color=COLORS[\"negative\"])\n", + "\n", + "# Right panel: True interaction-driven synchrony\n", + "ax2 = axes[1]\n", + "\n", + "# Two heads facing each other (no shared screen)\n", + "head1 = Circle((-0.4, 0), 0.2, color=COLORS[\"signal_1\"], alpha=0.6)\n", + "ax2.add_patch(head1)\n", + "ax2.text(-0.4, -0.35, \"P1\", ha='center', fontsize=11, fontweight='bold',\n", + " color=COLORS[\"signal_1\"])\n", + "\n", + "head2 = Circle((0.4, 0), 0.2, color=COLORS[\"signal_2\"], alpha=0.6)\n", + "ax2.add_patch(head2)\n", + "ax2.text(0.4, -0.35, \"P2\", ha='center', fontsize=11, fontweight='bold',\n", + " color=COLORS[\"signal_2\"])\n", + "\n", + "# Bidirectional arrows between heads\n", + "ax2.annotate(\"\", xy=(0.15, 0.05), xytext=(-0.15, 0.05),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"high_sync\"], lw=2))\n", + "ax2.annotate(\"\", xy=(-0.15, -0.05), xytext=(0.15, -0.05),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"high_sync\"], lw=2))\n", + "\n", + "# Synchrony symbol\n", + "sync_circle = Circle((0, 0), 0.08, fill=False, edgecolor=COLORS[\"high_sync\"],\n", + " linewidth=2, linestyle='-')\n", + "ax2.add_patch(sync_circle)\n", + "\n", + "# Speech bubbles / interaction symbols\n", + "ax2.text(-0.15, 0.25, \"...\", fontsize=14, color=COLORS[\"signal_1\"], ha='center')\n", + "ax2.text(0.15, 0.25, \"...\", fontsize=14, color=COLORS[\"signal_2\"], ha='center')\n", + "\n", + "# Positive message\n", + "ax2.text(0, -0.65, \"✓ Synchrony from actual interaction\", ha='center',\n", + " fontsize=11, color=COLORS[\"positive\"], fontweight='bold')\n", + "ax2.text(0, -0.8, \"Bidirectional coupling through communication\", ha='center',\n", + " fontsize=10, color=COLORS[\"grid\"], style='italic')\n", + "\n", + "ax2.set_xlim(-0.9, 0.9)\n", + "ax2.set_ylim(-0.9, 0.8)\n", + "ax2.set_aspect('equal')\n", + "ax2.axis('off')\n", + "ax2.set_title(\"Interaction-Driven Synchrony (Real)\", fontsize=13,\n", + " fontweight='bold', color=COLORS[\"positive\"])\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 5: Stimulus-driven vs interaction-driven synchrony\")\n", + "print(\" Left: Confound where both participants respond to same stimulus\")\n", + "print(\" Right: True social synchrony from bidirectional interaction\")" + ] + }, + { + "cell_type": "markdown", + "id": "c3c468b2", + "metadata": {}, + "source": [ + "---\n", + "## Section 6: Data Structure for Hyperscanning\n", + "\n", + "Understanding how to organize hyperscanning data is essential before any analysis. Unlike single-brain studies, we now have **two recordings** that must be aligned and combined properly.\n", + "\n", + "### Recording Setup\n", + "\n", + "In practice, hyperscanning can be done with:\n", + "- **Two separate EEG systems** — requires careful synchronization via triggers\n", + "- **One system with dual cap** — easier synchronization but limited channel count\n", + "- **Multiple modalities** — EEG + fNIRS, dual-fMRI, etc.\n", + "\n", + "The critical requirement: **temporal synchronization**. Both recordings must be aligned to the same time base, typically using shared trigger signals.\n", + "\n", + "### Data Dimensions\n", + "\n", + "For each participant, we have:\n", + "- **Participant 1**: shape `(n_channels_P1, n_samples)`\n", + "- **Participant 2**: shape `(n_channels_P2, n_samples)`\n", + "\n", + "Often `n_channels_P1 = n_channels_P2`, but not always (e.g., if one cap has a bad channel).\n", + "\n", + "### Connectivity Blocks\n", + "\n", + "When computing connectivity for hyperscanning, we get THREE distinct blocks:\n", + "\n", + "| Block | Description | Shape | Meaning |\n", + "|-------|-------------|-------|---------|\n", + "| **Within-P1** | Connectivity among P1's channels | `(n_P1, n_P1)` | Single-brain connectivity for P1 |\n", + "| **Within-P2** | Connectivity among P2's channels | `(n_P2, n_P2)` | Single-brain connectivity for P2 |\n", + "| **Between** | Connectivity from P1 to P2 | `(n_P1, n_P2)` | **Inter-brain connectivity** |\n", + "\n", + "The \"Between\" block is what makes hyperscanning unique — it captures coupling **across** brains.\n", + "\n", + "### Combined Matrix Structure\n", + "\n", + "We can combine these blocks into a full connectivity matrix:\n", + "\n", + "```\n", + " P1 channels P2 channels\n", + "P1 channels [ Within-P1 | Between ]\n", + "P2 channels [ Between.T | Within-P2 ]\n", + "```\n", + "\n", + "This $(n_{P1} + n_{P2}) \\times (n_{P1} + n_{P2})$ matrix contains all connectivity information.\n", + "\n", + "### Channel Naming Convention\n", + "\n", + "To avoid confusion, we prefix channel names:\n", + "- P1 channels: `P1_Fz`, `P1_Cz`, `P1_Pz`, ...\n", + "- P2 channels: `P2_Fz`, `P2_Cz`, `P2_Pz`, ...\n", + "\n", + "This makes it immediately clear which participant each channel belongs to." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "123ce6e2", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 6: Hyperscanning Data Structure\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n", + "\n", + "# Panel A: Two separate data arrays\n", + "ax1 = axes[0]\n", + "ax1.set_title(\"A. Raw Data Arrays\", fontsize=12, fontweight='bold', pad=10)\n", + "\n", + "# P1 data array\n", + "p1_rect = Rectangle((0.1, 0.55), 0.35, 0.35, color=COLORS[\"signal_1\"], alpha=0.6)\n", + "ax1.add_patch(p1_rect)\n", + "ax1.text(0.275, 0.725, \"P1 Data\\n(n_ch₁ × n_samples)\", ha='center', va='center', \n", + " fontsize=10, fontweight='bold', color='white')\n", + "\n", + "# P2 data array\n", + "p2_rect = Rectangle((0.55, 0.55), 0.35, 0.35, color=COLORS[\"signal_2\"], alpha=0.6)\n", + "ax1.add_patch(p2_rect)\n", + "ax1.text(0.725, 0.725, \"P2 Data\\n(n_ch₂ × n_samples)\", ha='center', va='center', \n", + " fontsize=10, fontweight='bold', color='white')\n", + "\n", + "# Arrow down\n", + "ax1.annotate(\"\", xy=(0.5, 0.35), xytext=(0.5, 0.5),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"text\"], lw=2))\n", + "ax1.text(0.5, 0.42, \"Combine\", ha='center', va='center', fontsize=9, color=COLORS[\"text\"])\n", + "\n", + "# Combined array\n", + "combined_rect = Rectangle((0.15, 0.08), 0.7, 0.22, color=COLORS[\"high_sync\"], alpha=0.4)\n", + "ax1.add_patch(combined_rect)\n", + "# Show P1 and P2 sections\n", + "ax1.axvline(x=0.5, ymin=0.08/1.0, ymax=0.3/1.0, color=COLORS[\"grid\"], linestyle='--', lw=1)\n", + "ax1.text(0.325, 0.19, \"P1\", ha='center', va='center', fontsize=11, \n", + " fontweight='bold', color=COLORS[\"signal_1\"])\n", + "ax1.text(0.675, 0.19, \"P2\", ha='center', va='center', fontsize=11, \n", + " fontweight='bold', color=COLORS[\"signal_2\"])\n", + "ax1.text(0.5, 0.02, \"Combined: (n_ch₁ + n_ch₂) × n_samples\", ha='center', \n", + " fontsize=9, color=COLORS[\"text\"])\n", + "\n", + "ax1.set_xlim(0, 1)\n", + "ax1.set_ylim(0, 1)\n", + "ax1.axis('off')\n", + "\n", + "# Panel B: Connectivity matrix blocks\n", + "ax2 = axes[1]\n", + "ax2.set_title(\"B. Connectivity Matrix Blocks\", fontsize=12, fontweight='bold', pad=10)\n", + "\n", + "# Draw the 2x2 block structure\n", + "block_size = 0.35\n", + "gap = 0.05\n", + "start_x = 0.15\n", + "start_y = 0.15\n", + "\n", + "# Within-P1 (top-left)\n", + "within_p1 = Rectangle((start_x, start_y + block_size + gap), block_size, block_size, \n", + " color=COLORS[\"signal_1\"], alpha=0.5)\n", + "ax2.add_patch(within_p1)\n", + "ax2.text(start_x + block_size/2, start_y + block_size + gap + block_size/2, \n", + " \"Within\\nP1\", ha='center', va='center', fontsize=10, fontweight='bold')\n", + "\n", + "# Between (top-right)\n", + "between_rect = Rectangle((start_x + block_size + gap, start_y + block_size + gap), \n", + " block_size, block_size, color=COLORS[\"high_sync\"], alpha=0.6)\n", + "ax2.add_patch(between_rect)\n", + "ax2.text(start_x + block_size + gap + block_size/2, start_y + block_size + gap + block_size/2, \n", + " \"Between\\nP1↔P2\", ha='center', va='center', fontsize=10, fontweight='bold', color='white')\n", + "\n", + "# Between.T (bottom-left)\n", + "between_t_rect = Rectangle((start_x, start_y), block_size, block_size, \n", + " color=COLORS[\"high_sync\"], alpha=0.6)\n", + "ax2.add_patch(between_t_rect)\n", + "ax2.text(start_x + block_size/2, start_y + block_size/2, \n", + " \"Between\\n(transpose)\", ha='center', va='center', fontsize=10, fontweight='bold', color='white')\n", + "\n", + "# Within-P2 (bottom-right)\n", + "within_p2 = Rectangle((start_x + block_size + gap, start_y), block_size, block_size, \n", + " color=COLORS[\"signal_2\"], alpha=0.5)\n", + "ax2.add_patch(within_p2)\n", + "ax2.text(start_x + block_size + gap + block_size/2, start_y + block_size/2, \n", + " \"Within\\nP2\", ha='center', va='center', fontsize=10, fontweight='bold')\n", + "\n", + "# Labels\n", + "ax2.text(start_x + block_size/2, start_y + 2*block_size + gap + 0.08, \"P1 ch\", \n", + " ha='center', fontsize=10, color=COLORS[\"signal_1\"], fontweight='bold')\n", + "ax2.text(start_x + block_size + gap + block_size/2, start_y + 2*block_size + gap + 0.08, \"P2 ch\", \n", + " ha='center', fontsize=10, color=COLORS[\"signal_2\"], fontweight='bold')\n", + "ax2.text(start_x - 0.08, start_y + block_size + gap + block_size/2, \"P1\", \n", + " ha='center', va='center', fontsize=10, color=COLORS[\"signal_1\"], fontweight='bold', rotation=90)\n", + "ax2.text(start_x - 0.08, start_y + block_size/2, \"P2\", \n", + " ha='center', va='center', fontsize=10, color=COLORS[\"signal_2\"], fontweight='bold', rotation=90)\n", + "\n", + "ax2.set_xlim(0, 1)\n", + "ax2.set_ylim(0, 1)\n", + "ax2.axis('off')\n", + "\n", + "# Panel C: Example with real channel names\n", + "ax3 = axes[2]\n", + "ax3.set_title(\"C. Channel Naming Example\", fontsize=12, fontweight='bold', pad=10)\n", + "\n", + "# Create a small example matrix\n", + "channels_p1 = [\"P1_Fz\", \"P1_Cz\", \"P1_Pz\"]\n", + "channels_p2 = [\"P2_Fz\", \"P2_Cz\", \"P2_Pz\"]\n", + "all_channels = channels_p1 + channels_p2\n", + "\n", + "# Create simulated connectivity values\n", + "np.random.seed(123)\n", + "n_total = 6\n", + "matrix = np.random.rand(n_total, n_total) * 0.5 + 0.2\n", + "matrix = (matrix + matrix.T) / 2 # Make symmetric\n", + "np.fill_diagonal(matrix, 1.0)\n", + "\n", + "# Add higher values for between-brain block to highlight it\n", + "matrix[0:3, 3:6] = np.random.rand(3, 3) * 0.3 + 0.6\n", + "matrix[3:6, 0:3] = matrix[0:3, 3:6].T\n", + "\n", + "# Plot heatmap\n", + "im = ax3.imshow(matrix, cmap='RdYlBu_r', vmin=0, vmax=1, aspect='equal')\n", + "ax3.set_xticks(range(6))\n", + "ax3.set_yticks(range(6))\n", + "ax3.set_xticklabels(all_channels, fontsize=8, rotation=45, ha='right')\n", + "ax3.set_yticklabels(all_channels, fontsize=8)\n", + "\n", + "# Add block boundaries\n", + "ax3.axhline(2.5, color='white', linewidth=3)\n", + "ax3.axvline(2.5, color='white', linewidth=3)\n", + "\n", + "# Add block labels\n", + "ax3.text(1, -1.2, \"P1\", ha='center', fontsize=10, color=COLORS[\"signal_1\"], fontweight='bold')\n", + "ax3.text(4, -1.2, \"P2\", ha='center', fontsize=10, color=COLORS[\"signal_2\"], fontweight='bold')\n", + "ax3.text(-1.5, 1, \"P1\", ha='center', va='center', fontsize=10, color=COLORS[\"signal_1\"], \n", + " fontweight='bold', rotation=90)\n", + "ax3.text(-1.5, 4, \"P2\", ha='center', va='center', fontsize=10, color=COLORS[\"signal_2\"], \n", + " fontweight='bold', rotation=90)\n", + "\n", + "# Colorbar\n", + "cbar = plt.colorbar(im, ax=ax3, shrink=0.8)\n", + "cbar.set_label(\"Connectivity\", fontsize=9)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 6: Hyperscanning data structure\")\n", + "print(\" A: Two data arrays combined into one\")\n", + "print(\" B: Connectivity matrix has 4 blocks (within-P1, within-P2, between, between.T)\")\n", + "print(\" C: Example 6×6 matrix with channel naming convention\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "592f03d3", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Utility Functions: Hyperscanning Data Structure\n", + "# =============================================================================\n", + "\n", + "def create_hyperscanning_data_structure(\n", + " data_p1: NDArray[np.float64],\n", + " data_p2: NDArray[np.float64],\n", + " channel_names_p1: List[str],\n", + " channel_names_p2: List[str]\n", + ") -> Dict[str, Any]:\n", + " \"\"\"\n", + " Create a unified data structure for hyperscanning analysis.\n", + " \n", + " Combines data from two participants into a single structure with\n", + " proper channel labeling and metadata.\n", + " \n", + " Parameters\n", + " ----------\n", + " data_p1 : NDArray[np.float64]\n", + " EEG data from participant 1, shape (n_channels_p1, n_samples).\n", + " data_p2 : NDArray[np.float64]\n", + " EEG data from participant 2, shape (n_channels_p2, n_samples).\n", + " channel_names_p1 : List[str]\n", + " Channel names for participant 1 (without prefix).\n", + " channel_names_p2 : List[str]\n", + " Channel names for participant 2 (without prefix).\n", + " \n", + " Returns\n", + " -------\n", + " Dict[str, Any]\n", + " Dictionary containing:\n", + " - 'data_combined': Combined data array (n_ch_total, n_samples)\n", + " - 'channel_names': Channel names with P1_/P2_ prefixes\n", + " - 'n_channels_p1': Number of channels for P1\n", + " - 'n_channels_p2': Number of channels for P2\n", + " - 'participant_labels': Array of 1s and 2s indicating participant\n", + " \n", + " Examples\n", + " --------\n", + " >>> data_p1 = np.random.randn(4, 1000)\n", + " >>> data_p2 = np.random.randn(4, 1000)\n", + " >>> names = ['Fz', 'Cz', 'Pz', 'Oz']\n", + " >>> result = create_hyperscanning_data_structure(data_p1, data_p2, names, names)\n", + " >>> result['data_combined'].shape\n", + " (8, 1000)\n", + " \"\"\"\n", + " # Validate inputs\n", + " if data_p1.shape[1] != data_p2.shape[1]:\n", + " raise ValueError(\"Both participants must have same number of samples\")\n", + " if len(channel_names_p1) != data_p1.shape[0]:\n", + " raise ValueError(\"channel_names_p1 length must match data_p1 channels\")\n", + " if len(channel_names_p2) != data_p2.shape[0]:\n", + " raise ValueError(\"channel_names_p2 length must match data_p2 channels\")\n", + " \n", + " n_ch_p1 = data_p1.shape[0]\n", + " n_ch_p2 = data_p2.shape[0]\n", + " \n", + " # Add prefixes to channel names\n", + " names_p1_prefixed = [f\"P1_{name}\" for name in channel_names_p1]\n", + " names_p2_prefixed = [f\"P2_{name}\" for name in channel_names_p2]\n", + " \n", + " # Combine data\n", + " data_combined = np.vstack([data_p1, data_p2])\n", + " channel_names_combined = names_p1_prefixed + names_p2_prefixed\n", + " \n", + " # Create participant labels\n", + " participant_labels = np.array([1] * n_ch_p1 + [2] * n_ch_p2)\n", + " \n", + " return {\n", + " \"data_combined\": data_combined,\n", + " \"channel_names\": channel_names_combined,\n", + " \"n_channels_p1\": n_ch_p1,\n", + " \"n_channels_p2\": n_ch_p2,\n", + " \"participant_labels\": participant_labels\n", + " }\n", + "\n", + "\n", + "def extract_connectivity_blocks(\n", + " full_matrix: NDArray[np.float64],\n", + " n_channels_p1: int\n", + ") -> Dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Extract connectivity blocks from a combined hyperscanning matrix.\n", + " \n", + " Separates the full (n_total × n_total) matrix into within-participant\n", + " and between-participant blocks.\n", + " \n", + " Parameters\n", + " ----------\n", + " full_matrix : NDArray[np.float64]\n", + " Full connectivity matrix, shape (n_total, n_total).\n", + " n_channels_p1 : int\n", + " Number of channels belonging to participant 1.\n", + " \n", + " Returns\n", + " -------\n", + " Dict[str, NDArray[np.float64]]\n", + " Dictionary containing:\n", + " - 'within_p1': Connectivity within P1 (n_p1, n_p1)\n", + " - 'within_p2': Connectivity within P2 (n_p2, n_p2)\n", + " - 'between': Inter-brain connectivity (n_p1, n_p2)\n", + " \n", + " Examples\n", + " --------\n", + " >>> matrix = np.random.rand(8, 8)\n", + " >>> blocks = extract_connectivity_blocks(matrix, n_channels_p1=4)\n", + " >>> blocks['between'].shape\n", + " (4, 4)\n", + " \"\"\"\n", + " n_total = full_matrix.shape[0]\n", + " n_p1 = n_channels_p1\n", + " n_p2 = n_total - n_p1\n", + " \n", + " within_p1 = full_matrix[:n_p1, :n_p1]\n", + " within_p2 = full_matrix[n_p1:, n_p1:]\n", + " between = full_matrix[:n_p1, n_p1:]\n", + " \n", + " return {\n", + " \"within_p1\": within_p1,\n", + " \"within_p2\": within_p2,\n", + " \"between\": between\n", + " }\n", + "\n", + "\n", + "def combine_connectivity_blocks(\n", + " within_p1: NDArray[np.float64],\n", + " within_p2: NDArray[np.float64],\n", + " between: NDArray[np.float64]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Combine connectivity blocks into a full hyperscanning matrix.\n", + " \n", + " Assembles within-participant and between-participant blocks into\n", + " the complete (n_p1 + n_p2) × (n_p1 + n_p2) matrix.\n", + " \n", + " Parameters\n", + " ----------\n", + " within_p1 : NDArray[np.float64]\n", + " Connectivity within participant 1, shape (n_p1, n_p1).\n", + " within_p2 : NDArray[np.float64]\n", + " Connectivity within participant 2, shape (n_p2, n_p2).\n", + " between : NDArray[np.float64]\n", + " Inter-brain connectivity, shape (n_p1, n_p2).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Full connectivity matrix, shape (n_p1 + n_p2, n_p1 + n_p2).\n", + " \n", + " Examples\n", + " --------\n", + " >>> w1 = np.eye(3)\n", + " >>> w2 = np.eye(3)\n", + " >>> b = np.ones((3, 3)) * 0.5\n", + " >>> full = combine_connectivity_blocks(w1, w2, b)\n", + " >>> full.shape\n", + " (6, 6)\n", + " \"\"\"\n", + " n_p1 = within_p1.shape[0]\n", + " n_p2 = within_p2.shape[0]\n", + " n_total = n_p1 + n_p2\n", + " \n", + " full_matrix = np.zeros((n_total, n_total))\n", + " \n", + " # Fill in blocks\n", + " full_matrix[:n_p1, :n_p1] = within_p1\n", + " full_matrix[n_p1:, n_p1:] = within_p2\n", + " full_matrix[:n_p1, n_p1:] = between\n", + " full_matrix[n_p1:, :n_p1] = between.T\n", + " \n", + " return full_matrix\n", + "\n", + "\n", + "# Demo: Test the functions\n", + "print(\"Testing hyperscanning data structure functions...\")\n", + "\n", + "# Create simulated data\n", + "np.random.seed(42)\n", + "fs_demo = 256\n", + "duration_demo = 2\n", + "n_samples_demo = fs_demo * duration_demo\n", + "\n", + "# Simulated EEG (4 channels each)\n", + "data_p1_demo = np.random.randn(4, n_samples_demo)\n", + "data_p2_demo = np.random.randn(4, n_samples_demo)\n", + "channels_demo = [\"Fz\", \"Cz\", \"Pz\", \"Oz\"]\n", + "\n", + "# Create structure\n", + "hyper_data = create_hyperscanning_data_structure(\n", + " data_p1_demo, data_p2_demo, channels_demo, channels_demo\n", + ")\n", + "\n", + "print(f\"\\n✓ Combined data shape: {hyper_data['data_combined'].shape}\")\n", + "print(f\"✓ Channel names: {hyper_data['channel_names']}\")\n", + "print(f\"✓ Participant labels: {hyper_data['participant_labels']}\")\n", + "\n", + "# Create a dummy connectivity matrix\n", + "dummy_matrix = np.random.rand(8, 8)\n", + "dummy_matrix = (dummy_matrix + dummy_matrix.T) / 2 # Symmetric\n", + "\n", + "# Extract blocks\n", + "blocks = extract_connectivity_blocks(dummy_matrix, n_channels_p1=4)\n", + "print(f\"\\n✓ Within-P1 shape: {blocks['within_p1'].shape}\")\n", + "print(f\"✓ Within-P2 shape: {blocks['within_p2'].shape}\")\n", + "print(f\"✓ Between shape: {blocks['between'].shape}\")\n", + "\n", + "# Reconstruct and verify\n", + "reconstructed = combine_connectivity_blocks(\n", + " blocks['within_p1'], blocks['within_p2'], blocks['between']\n", + ")\n", + "is_equal = np.allclose(reconstructed, dummy_matrix)\n", + "print(f\"\\n✓ Reconstruction matches original: {is_equal}\")" + ] + }, + { + "cell_type": "markdown", + "id": "10e3c753", + "metadata": {}, + "source": [ + "---\n", + "## Section 7: Preprocessing for Hyperscanning\n", + "\n", + "All standard EEG preprocessing applies to hyperscanning (filtering, artifact rejection, re-referencing). However, hyperscanning introduces **specific considerations** that don't exist in single-brain studies.\n", + "\n", + "### Critical: Time Synchronization\n", + "\n", + "**This is THE most important preprocessing step for hyperscanning.**\n", + "\n", + "Both recordings must be temporally aligned to the same time base. Without this, all inter-brain connectivity measures are meaningless.\n", + "\n", + "Common synchronization methods:\n", + "- **Shared trigger signals**: Both systems receive the same TTL pulses\n", + "- **Photodiode markers**: Both record from shared visual stimulus\n", + "- **Hardware synchronization**: Systems share a clock\n", + "\n", + "Always **verify** synchronization before analysis!\n", + "\n", + "### Reference Scheme\n", + "\n", + "Ideally, use the **same reference scheme** for both participants:\n", + "- **Average reference**: Most common in hyperscanning\n", + "- **Linked mastoids**: Also acceptable\n", + "- **Different references**: Can bias between-brain metrics\n", + "\n", + "### Joint Artifact Rejection\n", + "\n", + "In single-brain studies, you reject epochs with artifacts. In hyperscanning:\n", + "\n", + "> **Reject epochs where EITHER participant has artifacts.**\n", + "\n", + "Why? If P1 has clean data but P2 has an eye blink, comparing that epoch is like comparing apples to noise. You may lose more data than in single-subject studies, but the remaining data is valid for between-brain analysis.\n", + "\n", + "### Movement Artifacts\n", + "\n", + "Social interaction involves movement — gestures, speech, facial expressions. This creates:\n", + "- **EMG artifacts**: Especially in face/jaw muscles\n", + "- **Electrode movement**: If participants move their heads\n", + "- **Synchronized artifacts**: If movements are coordinated!\n", + "\n", + "Solutions:\n", + "- Higher high-pass filter (e.g., 1-2 Hz instead of 0.1 Hz)\n", + "- ICA to remove muscle components\n", + "- Motion tracking (if available) as covariate" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a114cb7a", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 7: Preprocessing Pipeline for Hyperscanning\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 8))\n", + "\n", + "# Pipeline stages as boxes\n", + "def draw_box(ax: plt.Axes, x: float, y: float, width: float, height: float,\n", + " text: str, color: str, fontsize: int = 10) -> None:\n", + " \"\"\"Draw a labeled box.\"\"\"\n", + " box = Rectangle((x - width/2, y - height/2), width, height,\n", + " color=color, alpha=0.7, zorder=2)\n", + " ax.add_patch(box)\n", + " ax.text(x, y, text, ha='center', va='center', fontsize=fontsize,\n", + " fontweight='bold', color='white' if color != COLORS[\"grid\"] else COLORS[\"text\"],\n", + " zorder=3, wrap=True)\n", + "\n", + "def draw_arrow(ax: plt.Axes, x1: float, y1: float, x2: float, y2: float,\n", + " color: str = None) -> None:\n", + " \"\"\"Draw an arrow.\"\"\"\n", + " if color is None:\n", + " color = COLORS[\"text\"]\n", + " ax.annotate(\"\", xy=(x2, y2), xytext=(x1, y1),\n", + " arrowprops=dict(arrowstyle=\"->\", color=color, lw=2))\n", + "\n", + "# Layout parameters\n", + "box_w = 0.22\n", + "box_h = 0.12\n", + "y_p1 = 0.75\n", + "y_p2 = 0.45\n", + "y_combined = 0.15\n", + "\n", + "# Title\n", + "ax.text(0.5, 0.95, \"Hyperscanning Preprocessing Pipeline\", ha='center',\n", + " fontsize=14, fontweight='bold', color=COLORS[\"text\"])\n", + "\n", + "# Stage 1: Raw data (two parallel streams)\n", + "ax.text(0.1, 0.9, \"Participant 1\", ha='center', fontsize=11, \n", + " fontweight='bold', color=COLORS[\"signal_1\"])\n", + "draw_box(ax, 0.1, y_p1, box_w, box_h, \"Raw EEG\\n(P1)\", COLORS[\"signal_1\"])\n", + "\n", + "ax.text(0.1, y_p2 + 0.17, \"Participant 2\", ha='center', fontsize=11,\n", + " fontweight='bold', color=COLORS[\"signal_2\"])\n", + "draw_box(ax, 0.1, y_p2, box_w, box_h, \"Raw EEG\\n(P2)\", COLORS[\"signal_2\"])\n", + "\n", + "# Stage 2: Filtering (parallel)\n", + "draw_arrow(ax, 0.22, y_p1, 0.28, y_p1, COLORS[\"signal_1\"])\n", + "draw_box(ax, 0.38, y_p1, box_w, box_h, \"Filter\\n(1-40 Hz)\", COLORS[\"signal_1\"])\n", + "\n", + "draw_arrow(ax, 0.22, y_p2, 0.28, y_p2, COLORS[\"signal_2\"])\n", + "draw_box(ax, 0.38, y_p2, box_w, box_h, \"Filter\\n(1-40 Hz)\", COLORS[\"signal_2\"])\n", + "\n", + "# Stage 3: Artifact detection (parallel)\n", + "draw_arrow(ax, 0.50, y_p1, 0.56, y_p1, COLORS[\"signal_1\"])\n", + "draw_box(ax, 0.66, y_p1, box_w, box_h, \"Detect\\nArtifacts\", COLORS[\"signal_1\"])\n", + "\n", + "draw_arrow(ax, 0.50, y_p2, 0.56, y_p2, COLORS[\"signal_2\"])\n", + "draw_box(ax, 0.66, y_p2, box_w, box_h, \"Detect\\nArtifacts\", COLORS[\"signal_2\"])\n", + "\n", + "# Convergence: Synchronization check\n", + "ax.text(0.88, 0.9, \"CRITICAL\", ha='center', fontsize=10, \n", + " fontweight='bold', color=COLORS[\"negative\"])\n", + "draw_arrow(ax, 0.78, y_p1, 0.82, (y_p1 + y_p2)/2 + 0.05, COLORS[\"high_sync\"])\n", + "draw_arrow(ax, 0.78, y_p2, 0.82, (y_p1 + y_p2)/2 - 0.05, COLORS[\"high_sync\"])\n", + "draw_box(ax, 0.88, (y_p1 + y_p2)/2, box_w, box_h * 1.3, \"Verify\\nSynchronization\", \n", + " COLORS[\"high_sync\"])\n", + "\n", + "# Convergence arrow down\n", + "draw_arrow(ax, 0.88, (y_p1 + y_p2)/2 - 0.08, 0.66, y_combined + 0.08, COLORS[\"high_sync\"])\n", + "\n", + "# Joint artifact rejection\n", + "draw_box(ax, 0.66, y_combined, box_w * 1.2, box_h, \"Joint Artifact\\nRejection\", COLORS[\"negative\"])\n", + "ax.text(0.66, y_combined - 0.1, \"Reject if EITHER\\nparticipant has artifact\",\n", + " ha='center', fontsize=8, style='italic', color=COLORS[\"text\"])\n", + "\n", + "# Re-reference\n", + "draw_arrow(ax, 0.54, y_combined, 0.46, y_combined, COLORS[\"text\"])\n", + "draw_box(ax, 0.38, y_combined, box_w, box_h, \"Re-reference\\n(Average)\", COLORS[\"grid\"])\n", + "\n", + "# Clean data output\n", + "draw_arrow(ax, 0.26, y_combined, 0.18, y_combined, COLORS[\"text\"])\n", + "draw_box(ax, 0.1, y_combined, box_w, box_h, \"Clean\\nSynchronized\\nData\", COLORS[\"positive\"])\n", + "\n", + "# Legend for critical steps\n", + "ax.text(0.03, 0.05, \"Key: \", fontsize=9, fontweight='bold', color=COLORS[\"text\"])\n", + "critical_marker = Rectangle((0.08, 0.04), 0.04, 0.025, color=COLORS[\"high_sync\"])\n", + "ax.add_patch(critical_marker)\n", + "ax.text(0.13, 0.05, \"Hyperscanning-specific step\", fontsize=8, va='center', color=COLORS[\"text\"])\n", + "\n", + "ax.set_xlim(0, 1)\n", + "ax.set_ylim(0, 1)\n", + "ax.axis('off')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 7: Hyperscanning preprocessing pipeline\")\n", + "print(\" Two parallel streams converge at synchronization check\")\n", + "print(\" Joint artifact rejection: reject if EITHER participant has artifact\")" + ] + }, + { + "cell_type": "markdown", + "id": "0752c4c1", + "metadata": {}, + "source": [ + "---\n", + "## Section 8: Choosing Connectivity Metrics\n", + "\n", + "We'll cover many connectivity metrics in the upcoming notebooks. How do you choose the right one for your research question?\n", + "\n", + "### Decision Framework\n", + "\n", + "| Research Question | Metric Type | Examples |\n", + "|-------------------|-------------|----------|\n", + "| Are phases aligned between brains? | Phase-based | PLV, PLI, wPLI |\n", + "| Do power fluctuations co-vary? | Amplitude-based | CCorr, PowCorr |\n", + "| Linear coupling at specific frequencies? | Coherence-based | COH, ImCoh |\n", + "| Any statistical dependency? | Information-theoretic | MI |\n", + "| Who influences whom (direction)? | Directed | Transfer Entropy, Granger |\n", + "\n", + "### For Hyperscanning Specifically\n", + "\n", + "**Phase Locking Value (PLV)**: Most commonly used in hyperscanning. Intuitive interpretation: \"how often are the phases aligned?\" Easy to compute and understand. *Caveat*: sensitive to volume conduction, but this is less of an issue between brains.\n", + "\n", + "**Coherence (COH)**: Classic measure combining phase and amplitude. Well-established in the field. Good for exploratory analyses.\n", + "\n", + "**Imaginary Coherence (ImCoh)**: Zero-lag robust. Even though volume conduction isn't an issue between brains, it's good practice and handles other zero-lag confounds.\n", + "\n", + "**Phase Lag Index (PLI/wPLI)**: Most robust to artifacts. Conservative choice. May miss genuine zero-lag synchrony.\n", + "\n", + "**Amplitude Correlation (CCorr)**: Captures a different mechanism than phase. Complementary to PLV. Less studied but equally valid.\n", + "\n", + "**Transfer Entropy (TE)**: For directional questions: \"Does brain A lead brain B?\" More computationally intensive but answers unique questions.\n", + "\n", + "### Frequency Band Considerations\n", + "\n", + "Different frequency bands may show different effects:\n", + "- **Theta (4-8 Hz)**: Often linked to memory, coordination\n", + "- **Alpha (8-13 Hz)**: Attention, inhibition, widespread effects\n", + "- **Beta (13-30 Hz)**: Motor, social cognition\n", + "- **Gamma (30+ Hz)**: Local processing, harder to measure\n", + "\n", + "**Recommendation**: Either have a *hypothesis* for a specific band, or report multiple bands (with appropriate multiple comparisons correction)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "01ca3033", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 8: Metric Selection Decision Tree (Simple Flowchart Style)\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 10))\n", + "\n", + "# Helper functions\n", + "def draw_decision(ax: plt.Axes, x: float, y: float, text: str, color: str,\n", + " width: float = 0.14, height: float = 0.08) -> None:\n", + " \"\"\"Draw a diamond-shaped decision node.\"\"\"\n", + " hw, hh = width/2, height/2\n", + " diamond = plt.Polygon([(x, y + hh), (x + hw, y), (x, y - hh), (x - hw, y)],\n", + " color=color, alpha=0.4, edgecolor=color, linewidth=2, zorder=2)\n", + " ax.add_patch(diamond)\n", + " ax.text(x, y, text, ha='center', va='center', fontsize=9, \n", + " fontweight='bold', color=color, zorder=3)\n", + "\n", + "def draw_box(ax: plt.Axes, x: float, y: float, text: str, color: str,\n", + " width: float = 0.11, height: float = 0.055) -> None:\n", + " \"\"\"Draw a rectangular metric box.\"\"\"\n", + " box = Rectangle((x - width/2, y - height/2), width, height, \n", + " color=color, alpha=0.8, zorder=2)\n", + " ax.add_patch(box)\n", + " ax.text(x, y, text, ha='center', va='center', fontsize=9, \n", + " fontweight='bold', color='white', zorder=3)\n", + "\n", + "# Orthogonal connector: vertical down, then horizontal, then vertical down\n", + "def connect_down_branch(ax: plt.Axes, x1: float, y1: float, x2: float, y2: float,\n", + " label: str = None, label_pos: str = \"left\") -> None:\n", + " \"\"\"Draw L-shaped connector: down from x1, then horizontal to x2, then down to y2.\"\"\"\n", + " mid_y = (y1 + y2) / 2\n", + " # Vertical segment from start\n", + " ax.plot([x1, x1], [y1, mid_y], color=COLORS[\"text\"], lw=1.5, zorder=1)\n", + " # Horizontal segment\n", + " ax.plot([x1, x2], [mid_y, mid_y], color=COLORS[\"text\"], lw=1.5, zorder=1)\n", + " # Vertical segment to end with arrow\n", + " ax.annotate(\"\", xy=(x2, y2), xytext=(x2, mid_y),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"text\"], lw=1.5))\n", + " # Label\n", + " if label:\n", + " offset = -0.02 if label_pos == \"left\" else 0.02\n", + " ha = \"right\" if label_pos == \"left\" else \"left\"\n", + " ax.text(x1 + offset, mid_y + 0.02, label, fontsize=9, ha=ha, \n", + " color=COLORS[\"text\"], fontweight='bold')\n", + "\n", + "# Simple vertical connector\n", + "def connect_down(ax: plt.Axes, x: float, y1: float, y2: float, label: str = None) -> None:\n", + " \"\"\"Draw simple vertical arrow.\"\"\"\n", + " ax.annotate(\"\", xy=(x, y2), xytext=(x, y1),\n", + " arrowprops=dict(arrowstyle=\"->\", color=COLORS[\"text\"], lw=1.5))\n", + " if label:\n", + " ax.text(x + 0.02, (y1 + y2)/2, label, fontsize=9, ha='left', \n", + " color=COLORS[\"text\"], fontweight='bold')\n", + "\n", + "# Title\n", + "ax.text(0.5, 0.97, \"Metric Selection Decision Tree\", ha='center',\n", + " fontsize=14, fontweight='bold', color=COLORS[\"text\"])\n", + "\n", + "# Layout - Y levels\n", + "L1 = 0.85 # Direction?\n", + "L2 = 0.68 # Directed metrics / Phase or Amplitude?\n", + "L3 = 0.51 # Amplitude metrics / Robustness?\n", + "L4 = 0.34 # Robust metrics / Include amplitude?\n", + "L5 = 0.17 # PLV / Coherence\n", + "\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "# LEVEL 1: Direction matters?\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "draw_decision(ax, 0.5, L1, \"Direction\\nmatters?\", COLORS[\"signal_4\"])\n", + "\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "# LEVEL 2: Yes -> Directed | No -> Phase/Amplitude?\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "\n", + "# YES branch (left)\n", + "connect_down_branch(ax, 0.5, L1 - 0.04, 0.20, L2 + 0.04, \"Yes\", \"left\")\n", + "\n", + "draw_box(ax, 0.13, L2, \"Transfer\\nEntropy\", COLORS[\"signal_4\"])\n", + "draw_box(ax, 0.27, L2, \"Granger\\nCausality\", COLORS[\"signal_4\"])\n", + "ax.text(0.20, L2 - 0.045, \"Directed\", ha='center', fontsize=9, \n", + " style='italic', color=COLORS[\"signal_4\"])\n", + "\n", + "# NO branch (right)\n", + "connect_down_branch(ax, 0.5, L1 - 0.04, 0.70, L2 + 0.04, \"No\", \"right\")\n", + "\n", + "draw_decision(ax, 0.70, L2, \"Phase or\\nAmplitude?\", COLORS[\"signal_3\"])\n", + "\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "# LEVEL 3: Amplitude -> metrics | Phase -> Robustness?\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "\n", + "# AMPLITUDE branch (right-right)\n", + "connect_down_branch(ax, 0.70, L2 - 0.04, 0.88, L3 + 0.035, \"Amplitude\", \"right\")\n", + "\n", + "draw_box(ax, 0.82, L3, \"CCorr\", COLORS[\"signal_5\"])\n", + "draw_box(ax, 0.95, L3, \"PowCorr\", COLORS[\"signal_5\"])\n", + "ax.text(0.885, L3 - 0.045, \"Amplitude-based\", ha='center', fontsize=9,\n", + " style='italic', color=COLORS[\"signal_5\"])\n", + "\n", + "# PHASE branch (down-left from Phase/Amplitude)\n", + "connect_down_branch(ax, 0.70, L2 - 0.04, 0.50, L3 + 0.04, \"Phase\", \"left\")\n", + "\n", + "draw_decision(ax, 0.50, L3, \"Robustness\\nneeded?\", COLORS[\"signal_1\"])\n", + "\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "# LEVEL 4: High -> robust metrics | Standard -> Include amplitude?\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "\n", + "# HIGH robustness (left)\n", + "connect_down_branch(ax, 0.50, L3 - 0.04, 0.25, L4 + 0.035, \"High\", \"left\")\n", + "\n", + "draw_box(ax, 0.18, L4, \"wPLI\", COLORS[\"signal_6\"])\n", + "draw_box(ax, 0.32, L4, \"PLI\", COLORS[\"signal_6\"])\n", + "ax.text(0.25, L4 - 0.045, \"Robust to artifacts\", ha='center', fontsize=9,\n", + " style='italic', color=COLORS[\"signal_6\"])\n", + "\n", + "# STANDARD (right)\n", + "connect_down_branch(ax, 0.50, L3 - 0.04, 0.70, L4 + 0.04, \"Standard\", \"right\")\n", + "\n", + "draw_decision(ax, 0.70, L4, \"Include\\namplitude?\", COLORS[\"signal_2\"])\n", + "\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "# LEVEL 5: No -> PLV | Yes -> Coherence\n", + "# ═══════════════════════════════════════════════════════════════════════════\n", + "\n", + "# NO -> PLV (left)\n", + "connect_down_branch(ax, 0.70, L4 - 0.04, 0.55, L5 + 0.035, \"No\", \"left\")\n", + "\n", + "draw_box(ax, 0.55, L5, \"PLV\", COLORS[\"signal_1\"])\n", + "ax.text(0.55, L5 - 0.045, \"Most common\", ha='center', fontsize=8,\n", + " style='italic', color=COLORS[\"signal_1\"])\n", + "\n", + "# YES -> Coherence (right)\n", + "connect_down_branch(ax, 0.70, L4 - 0.04, 0.85, L5 + 0.035, \"Yes\", \"right\")\n", + "\n", + "draw_box(ax, 0.78, L5, \"COH\", COLORS[\"signal_2\"])\n", + "draw_box(ax, 0.92, L5, \"ImCoh\", COLORS[\"signal_2\"])\n", + "ax.text(0.85, L5 - 0.045, \"Coherence-based\", ha='center', fontsize=8,\n", + " style='italic', color=COLORS[\"signal_2\"])\n", + "\n", + "ax.set_xlim(0, 1)\n", + "ax.set_ylim(0.05, 1)\n", + "ax.axis('off')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 8: Metric selection decision tree\")\n", + "print(\" Orthogonal flowchart style - cleaner and easier to follow\")\n", + "print(\" Each decision leads to appropriate metric choices\")" + ] + }, + { + "cell_type": "markdown", + "id": "e380e41d", + "metadata": {}, + "source": [ + "---\n", + "## Section 9: Pseudo-Pair Analysis — The Key Control\n", + "\n", + "This is perhaps the most important methodological concept in hyperscanning. If you remember only one thing from this notebook, let it be this.\n", + "\n", + "### The Fundamental Question\n", + "\n", + "When we observe inter-brain synchrony, we must ask:\n", + "\n", + "> **Is this synchrony due to the INTERACTION, or would it occur anyway?**\n", + "\n", + "### What Are Pseudo-Pairs?\n", + "\n", + "A **pseudo-pair** is created by pairing participants who **never actually interacted**:\n", + "- Take P1 from real pair A\n", + "- Take P2 from real pair B\n", + "- Compute \"synchrony\" between them\n", + "\n", + "These pseudo-pairs experienced the **same experimental conditions** (same task, same stimuli, same environment) but had **no social interaction** with each other.\n", + "\n", + "### The Logic\n", + "\n", + "If synchrony is driven by **shared stimuli** (both see the same screen, hear the same sounds), then pseudo-pairs should show similar synchrony to real pairs — both are processing the same input.\n", + "\n", + "If synchrony is driven by **actual interaction** (conversation, coordination, rapport), then real pairs should show **higher synchrony** than pseudo-pairs — only real pairs had the interactive component.\n", + "\n", + "### Statistical Test\n", + "\n", + "1. Compute synchrony for all **real pairs** → distribution of real synchrony values\n", + "2. Compute synchrony for all **pseudo-pairs** → null distribution\n", + "3. Test: Is real synchrony significantly greater than pseudo-pair synchrony?\n", + "\n", + "If **real > pseudo**: ✅ Synchrony is interaction-specific!\n", + "If **real ≈ pseudo**: ⚠️ Synchrony may just be shared stimulus response.\n", + "If **real < pseudo**: 🤔 Interesting! Interaction might actually *reduce* synchrony.\n", + "\n", + "### Implementation Notes\n", + "\n", + "- With $N$ participants in $N/2$ real pairs, you have many possible pseudo-pairs\n", + "- Can use all pseudo-pairs or subsample\n", + "- Test at the group level (are real pairs generally higher than pseudo?)\n", + "- Can also test individual pairs against the pseudo-pair null distribution" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "2ed09329", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 9: Pseudo-Pair Concept\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", + "\n", + "# Left panel: Real pairs\n", + "ax1 = axes[0]\n", + "ax1.set_title(\"Real Pairs (Interacted)\", fontsize=13, fontweight='bold', \n", + " color=COLORS[\"positive\"], pad=15)\n", + "\n", + "# Draw 3 real pairs\n", + "pair_colors = [COLORS[\"signal_1\"], COLORS[\"signal_3\"], COLORS[\"signal_5\"]]\n", + "y_positions = [0.75, 0.45, 0.15]\n", + "\n", + "for i, (y, color) in enumerate(zip(y_positions, pair_colors)):\n", + " # Left person\n", + " head_l = Circle((0.25, y), 0.08, color=color, alpha=0.7)\n", + " ax1.add_patch(head_l)\n", + " ax1.text(0.25, y - 0.13, f\"P{2*i+1}\", ha='center', fontsize=10, \n", + " fontweight='bold', color=color)\n", + " \n", + " # Right person\n", + " head_r = Circle((0.75, y), 0.08, color=color, alpha=0.7)\n", + " ax1.add_patch(head_r)\n", + " ax1.text(0.75, y - 0.13, f\"P{2*i+2}\", ha='center', fontsize=10, \n", + " fontweight='bold', color=color)\n", + " \n", + " # Interaction arrow (double-headed, solid)\n", + " ax1.annotate(\"\", xy=(0.65, y), xytext=(0.35, y),\n", + " arrowprops=dict(arrowstyle=\"<->\", color=COLORS[\"high_sync\"], lw=2))\n", + " \n", + " # Pair label\n", + " ax1.text(0.5, y + 0.12, f\"Pair {chr(65+i)}\", ha='center', fontsize=9, \n", + " style='italic', color=COLORS[\"text\"])\n", + "\n", + "# Legend\n", + "ax1.text(0.5, -0.05, \"↔ = Actual interaction during experiment\", ha='center',\n", + " fontsize=10, color=COLORS[\"high_sync\"], fontweight='bold')\n", + "\n", + "ax1.set_xlim(0, 1)\n", + "ax1.set_ylim(-0.1, 1)\n", + "ax1.axis('off')\n", + "\n", + "# Right panel: Pseudo-pairs\n", + "ax2 = axes[1]\n", + "ax2.set_title(\"Pseudo-Pairs (Never Interacted)\", fontsize=13, fontweight='bold',\n", + " color=COLORS[\"negative\"], pad=15)\n", + "\n", + "# Draw pseudo-pairs: mix participants from different real pairs\n", + "pseudo_pairs = [(0, 3), (1, 4), (2, 5)] # P1 with P4, P2 with P5, P3 with P6\n", + "pseudo_y = [0.75, 0.45, 0.15]\n", + "left_colors = [COLORS[\"signal_1\"], COLORS[\"signal_1\"], COLORS[\"signal_3\"]]\n", + "right_colors = [COLORS[\"signal_3\"], COLORS[\"signal_5\"], COLORS[\"signal_5\"]]\n", + "\n", + "for i, (y, l_color, r_color) in enumerate(zip(pseudo_y, left_colors, right_colors)):\n", + " p_left, p_right = pseudo_pairs[i]\n", + " \n", + " # Left person\n", + " head_l = Circle((0.25, y), 0.08, color=l_color, alpha=0.7)\n", + " ax2.add_patch(head_l)\n", + " ax2.text(0.25, y - 0.13, f\"P{p_left+1}\", ha='center', fontsize=10, \n", + " fontweight='bold', color=l_color)\n", + " \n", + " # Right person\n", + " head_r = Circle((0.75, y), 0.08, color=r_color, alpha=0.7)\n", + " ax2.add_patch(head_r)\n", + " ax2.text(0.75, y - 0.13, f\"P{p_right+1}\", ha='center', fontsize=10, \n", + " fontweight='bold', color=r_color)\n", + " \n", + " # NO interaction (dashed, crossed out)\n", + " ax2.plot([0.35, 0.65], [y, y], color=COLORS[\"low_sync\"], lw=2, ls='--')\n", + " # Cross mark\n", + " ax2.plot([0.48, 0.52], [y + 0.03, y - 0.03], color=COLORS[\"negative\"], lw=2)\n", + " ax2.plot([0.48, 0.52], [y - 0.03, y + 0.03], color=COLORS[\"negative\"], lw=2)\n", + " \n", + " # Pseudo-pair label\n", + " ax2.text(0.5, y + 0.12, f\"Pseudo {i+1}\", ha='center', fontsize=9,\n", + " style='italic', color=COLORS[\"grid\"])\n", + "\n", + "# Legend\n", + "ax2.text(0.5, -0.05, \"✗ = Same experiment, but never interacted\", ha='center',\n", + " fontsize=10, color=COLORS[\"negative\"], fontweight='bold')\n", + "\n", + "ax2.set_xlim(0, 1)\n", + "ax2.set_ylim(-0.1, 1)\n", + "ax2.axis('off')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 9: Real pairs vs pseudo-pairs\")\n", + "print(\" Real pairs: participants who actually interacted during the experiment\")\n", + "print(\" Pseudo-pairs: participants from different real pairs (never interacted)\")\n", + "print(\" If synchrony is interaction-specific, real pairs > pseudo-pairs\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7894f3b0", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 10: Pseudo-Pair Null Distribution\n", + "# =============================================================================\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Simulate synchrony values\n", + "# Real pairs: higher synchrony (interaction effect)\n", + "real_pair_sync = np.random.normal(0.55, 0.08, 15) # 15 real pairs\n", + "real_pair_sync = np.clip(real_pair_sync, 0, 1)\n", + "\n", + "# Pseudo-pairs: lower synchrony (no interaction)\n", + "pseudo_pair_sync = np.random.normal(0.35, 0.10, 100) # Many more pseudo-pairs\n", + "pseudo_pair_sync = np.clip(pseudo_pair_sync, 0, 1)\n", + "\n", + "# Color scheme with good contrast:\n", + "# - Pseudo-pairs: Sky blue (neutral, clear)\n", + "# - Real pairs: Purple (high sync, stands out)\n", + "# - Conclusion text: Standard text color\n", + "pseudo_color = COLORS[\"signal_1\"] # Sky Blue - neutral null distribution\n", + "real_color = COLORS[\"high_sync\"] # Purple - real pairs (high sync)\n", + "success_color = COLORS[\"text\"] # Standard text color for conclusion\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Left panel: Distributions\n", + "ax1 = axes[0]\n", + "\n", + "# Pseudo-pair histogram (null distribution)\n", + "ax1.hist(pseudo_pair_sync, bins=20, alpha=0.7, color=pseudo_color,\n", + " label=\"Pseudo-pairs (null)\", density=True, edgecolor='white')\n", + "\n", + "# Real pairs as vertical lines\n", + "for i, val in enumerate(real_pair_sync):\n", + " ax1.axvline(val, color=real_color, alpha=0.8, linewidth=2.5,\n", + " label=\"Real pairs\" if i == 0 else None)\n", + "\n", + "# Mean lines\n", + "ax1.axvline(pseudo_pair_sync.mean(), color=pseudo_color, linestyle='--', \n", + " linewidth=2.5, label=f\"Pseudo mean: {pseudo_pair_sync.mean():.2f}\")\n", + "ax1.axvline(real_pair_sync.mean(), color=real_color, linestyle='--',\n", + " linewidth=2.5, label=f\"Real mean: {real_pair_sync.mean():.2f}\")\n", + "\n", + "ax1.set_xlabel(\"Synchrony\", fontsize=11)\n", + "ax1.set_ylabel(\"Density\", fontsize=11)\n", + "ax1.set_title(\"Real Pairs vs Pseudo-Pair Null Distribution\", fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right', fontsize=9)\n", + "ax1.set_xlim(0, 1)\n", + "\n", + "# Right panel: Summary statistics\n", + "ax2 = axes[1]\n", + "\n", + "# Bar plot comparing means\n", + "means = [pseudo_pair_sync.mean(), real_pair_sync.mean()]\n", + "stds = [pseudo_pair_sync.std(), real_pair_sync.std()]\n", + "colors_bars = [pseudo_color, real_color]\n", + "labels = [\"Pseudo-pairs\\n(null)\", \"Real pairs\"]\n", + "\n", + "bars = ax2.bar(labels, means, color=colors_bars, alpha=0.8, edgecolor='white', linewidth=2)\n", + "ax2.errorbar(labels, means, yerr=stds, fmt='none', color=COLORS[\"text\"], \n", + " capsize=5, capthick=2, linewidth=2)\n", + "\n", + "# Add significance annotation\n", + "from scipy import stats\n", + "t_stat, p_val = stats.ttest_ind(real_pair_sync, pseudo_pair_sync)\n", + "\n", + "# Significance bracket\n", + "y_max = max(means) + max(stds) + 0.05\n", + "ax2.plot([0, 0, 1, 1], [y_max, y_max + 0.02, y_max + 0.02, y_max], \n", + " color=COLORS[\"text\"], linewidth=1.5)\n", + "\n", + "# Format p-value nicely\n", + "sig_text = \"***\" if p_val < 0.001 else (\"**\" if p_val < 0.01 else (\"*\" if p_val < 0.05 else \"n.s.\"))\n", + "if p_val < 0.001:\n", + " p_display = \"p < 0.001\"\n", + "else:\n", + " p_display = f\"p = {p_val:.3f}\"\n", + "\n", + "ax2.text(0.5, y_max + 0.04, f\"{sig_text}\\n{p_display}\", ha='center', fontsize=10,\n", + " color=real_color if p_val < 0.05 else COLORS[\"text\"])\n", + "\n", + "ax2.set_ylabel(\"Mean Synchrony\", fontsize=11)\n", + "ax2.set_title(\"Statistical Comparison\", fontsize=12, fontweight='bold')\n", + "ax2.set_ylim(0, 0.85)\n", + "\n", + "# Add interpretation text\n", + "if real_pair_sync.mean() > pseudo_pair_sync.mean() and p_val < 0.05:\n", + " conclusion = \"✓ Synchrony is INTERACTION-SPECIFIC!\"\n", + " text_color = success_color\n", + "else:\n", + " conclusion = \"⚠ Synchrony may be stimulus-driven\"\n", + " text_color = COLORS[\"negative\"]\n", + "\n", + "ax2.text(0.5, 0.02, conclusion, ha='center', fontsize=12, fontweight='bold',\n", + " color=text_color, transform=ax2.transAxes)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 10: Pseudo-pair null distribution test\")\n", + "print(f\" Real pairs mean: {real_pair_sync.mean():.3f} ± {real_pair_sync.std():.3f}\")\n", + "print(f\" Pseudo-pairs mean: {pseudo_pair_sync.mean():.3f} ± {pseudo_pair_sync.std():.3f}\")\n", + "print(f\" t-test p-value: {p_val:.2e}\")\n", + "print(f\" Conclusion: Real pairs show significantly higher synchrony!\")" + ] + }, + { + "cell_type": "markdown", + "id": "d65220b9", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 10. Interpreting Inter-Brain Synchrony\n", + "\n", + "**⏱️ Duration: 8 minutes**\n", + "\n", + "### What Does Synchrony Actually Mean?\n", + "\n", + "Finding inter-brain synchrony is exciting, but **interpretation requires caution**. Synchrony does NOT automatically mean:\n", + "- 🧠↔️🧠 Telepathic communication\n", + "- 💭 Understanding each other's thoughts\n", + "- ✅ Better interaction quality (always)\n", + "\n", + "### Possible Mechanisms\n", + "\n", + "**1. Shared Stimulus Processing**\n", + "Both participants perceive the same environment (sounds, visuals) → similar sensory processing → correlated brain activity. This is NOT truly \"social\" synchrony.\n", + "> **Control**: Pseudo-pair analysis\n", + "\n", + "**2. Behavioral Coordination**\n", + "Synchronized movements (gestures, speech rhythm) → synchronized sensorimotor activity. May include movement artifacts, but also genuine coordination signatures.\n", + "> **Example**: Drummers synchronizing create motor cortex synchrony\n", + "\n", + "**3. Predictive Coupling**\n", + "Brain A predicts Brain B's behavior and prepares responses; Brain B does the same. This interactive loop creates emergent synchrony.\n", + "> **Most \"social\"**: Reflects true interactive dynamics\n", + "\n", + "**4. Common Physiological Rhythms**\n", + "Shared arousal, breathing synchronization, heart rate coupling. Less \"cognitive\" but still socially relevant.\n", + "> **Example**: Calm therapist → calm patient → physiological alignment\n", + "\n", + "### What Synchrony Correlates With\n", + "\n", + "| Finding | Domain | Reference |\n", + "|---------|--------|-----------|\n", + "| Task performance | Cooperation | Astolfi et al., 2010 |\n", + "| Subjective rapport | Conversation | Pérez et al., 2017 |\n", + "| Learning outcomes | Education | Dikker et al., 2017 |\n", + "| Therapeutic alliance | Clinical | Ramseyer & Tschacher, 2011 |\n", + "| Musical coordination | Performance | Lindenberger et al., 2009 |\n", + "\n", + "### The Causality Question\n", + "\n", + "```\n", + "Does synchrony CAUSE better interaction?\n", + " ↕️ (or both?)\n", + "Does good interaction CAUSE synchrony?\n", + "```\n", + "\n", + "**Current evidence is mostly correlational.** Experimental manipulations (disrupting synchrony, inducing it artificially) are active research frontiers.\n", + "\n", + "> 💡 **Key insight**: Inter-brain synchrony is a **signature** of successful social interaction, but the causal mechanisms are still being investigated." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1a53fc40", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 11: Mechanisms of Inter-Brain Synchrony\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Helper to draw a simple head\n", + "def draw_head(ax: plt.Axes, x: float, y: float, radius: float, color: str, label: str) -> None:\n", + " head = Circle((x, y), radius, facecolor=color, edgecolor=COLORS[\"text\"], \n", + " linewidth=2, alpha=0.7)\n", + " ax.add_patch(head)\n", + " ax.text(x, y, label, ha='center', va='center', fontsize=10, fontweight='bold',\n", + " color=COLORS[\"text\"])\n", + "\n", + "# Panel 1: Shared Stimulus Processing\n", + "ax1 = axes[0, 0]\n", + "ax1.set_xlim(0, 10)\n", + "ax1.set_ylim(0, 8)\n", + "ax1.set_aspect('equal')\n", + "ax1.axis('off')\n", + "ax1.set_title(\"1. Shared Stimulus Processing\", fontsize=12, fontweight='bold', pad=10)\n", + "\n", + "# Screen in center\n", + "screen = Rectangle((4, 5), 2, 1.5, facecolor=COLORS[\"grid\"], edgecolor=COLORS[\"text\"], linewidth=2)\n", + "ax1.add_patch(screen)\n", + "ax1.text(5, 5.75, \"SCREEN\", fontsize=8, ha='center', va='center', fontweight='bold')\n", + "\n", + "# Two participants looking at screen\n", + "draw_head(ax1, 2, 3, 0.8, COLORS[\"signal_1\"], \"P1\")\n", + "draw_head(ax1, 8, 3, 0.8, COLORS[\"signal_2\"], \"P2\")\n", + "\n", + "# Arrows from screen to both\n", + "ax1.annotate('', xy=(2.5, 3.8), xytext=(4.2, 5), \n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_4\"], lw=2))\n", + "ax1.annotate('', xy=(7.5, 3.8), xytext=(5.8, 5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_4\"], lw=2))\n", + "\n", + "# Similar waves under each head\n", + "t = np.linspace(0, 2*np.pi, 50)\n", + "ax1.plot(np.linspace(1, 3, 50), 1.5 + 0.3*np.sin(t), color=COLORS[\"signal_1\"], lw=2)\n", + "ax1.plot(np.linspace(7, 9, 50), 1.5 + 0.3*np.sin(t), color=COLORS[\"signal_2\"], lw=2)\n", + "ax1.text(5, 0.5, \"Similar responses to same input\\n(NOT interaction-specific)\", \n", + " ha='center', fontsize=9, style='italic', color=COLORS[\"text\"])\n", + "\n", + "# Panel 2: Behavioral Coordination\n", + "ax2 = axes[0, 1]\n", + "ax2.set_xlim(0, 10)\n", + "ax2.set_ylim(0, 8)\n", + "ax2.set_aspect('equal')\n", + "ax2.axis('off')\n", + "ax2.set_title(\"2. Behavioral Coordination\", fontsize=12, fontweight='bold', pad=10)\n", + "\n", + "draw_head(ax2, 3, 4, 0.8, COLORS[\"signal_1\"], \"P1\")\n", + "draw_head(ax2, 7, 4, 0.8, COLORS[\"signal_2\"], \"P2\")\n", + "\n", + "# Synchronized movement arrows\n", + "for y_off in [0.5, -0.5]:\n", + " ax2.annotate('', xy=(4, 4 + y_off), xytext=(3.8, 4 + y_off),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_1\"], lw=2))\n", + " ax2.annotate('', xy=(6, 4 + y_off), xytext=(6.2, 4 + y_off),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_2\"], lw=2))\n", + "\n", + "# Synchronized waves\n", + "ax2.plot(np.linspace(1.5, 4.5, 50), 2 + 0.3*np.sin(t), color=COLORS[\"signal_1\"], lw=2)\n", + "ax2.plot(np.linspace(5.5, 8.5, 50), 2 + 0.3*np.sin(t), color=COLORS[\"signal_2\"], lw=2)\n", + "\n", + "# Connection between movements\n", + "ax2.plot([4.2, 5.8], [4, 4], '--', color=COLORS[\"high_sync\"], lw=2)\n", + "ax2.text(5, 6.5, \"[ Joint Action ]\", fontsize=11, ha='center', fontweight='bold',\n", + " color=COLORS[\"high_sync\"])\n", + "ax2.text(5, 0.5, \"Synchronized actions -> synchronized motor activity\", \n", + " ha='center', fontsize=9, style='italic', color=COLORS[\"text\"])\n", + "\n", + "# Panel 3: Predictive Coupling\n", + "ax3 = axes[1, 0]\n", + "ax3.set_xlim(0, 10)\n", + "ax3.set_ylim(0, 8)\n", + "ax3.set_aspect('equal')\n", + "ax3.axis('off')\n", + "ax3.set_title(\"3. Predictive Coupling\", fontsize=12, fontweight='bold', pad=10)\n", + "\n", + "draw_head(ax3, 3, 4, 0.8, COLORS[\"signal_1\"], \"P1\")\n", + "draw_head(ax3, 7, 4, 0.8, COLORS[\"signal_2\"], \"P2\")\n", + "\n", + "# Bidirectional arrows with labels\n", + "ax3.annotate('', xy=(6, 4.5), xytext=(4, 4.5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"high_sync\"], lw=2.5))\n", + "ax3.annotate('', xy=(4, 3.5), xytext=(6, 3.5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"high_sync\"], lw=2.5))\n", + "\n", + "ax3.text(5, 5.2, \"Predict & respond\", fontsize=9, ha='center', color=COLORS[\"high_sync\"])\n", + "ax3.text(5, 2.8, \"Adjust & adapt\", fontsize=9, ha='center', color=COLORS[\"high_sync\"])\n", + "\n", + "# Question marks for prediction\n", + "ax3.text(2.2, 5.5, \"?\", fontsize=16, fontweight='bold', color=COLORS[\"signal_1\"])\n", + "ax3.text(7.8, 5.5, \"?\", fontsize=16, fontweight='bold', color=COLORS[\"signal_2\"])\n", + "\n", + "ax3.text(5, 0.5, \"Interactive loop creates emergent synchrony\\n(Most 'social' mechanism)\", \n", + " ha='center', fontsize=9, style='italic', color=COLORS[\"text\"])\n", + "\n", + "# Panel 4: Physiological Coupling\n", + "ax4 = axes[1, 1]\n", + "ax4.set_xlim(0, 10)\n", + "ax4.set_ylim(0, 8)\n", + "ax4.set_aspect('equal')\n", + "ax4.axis('off')\n", + "ax4.set_title(\"4. Physiological Coupling\", fontsize=12, fontweight='bold', pad=10)\n", + "\n", + "draw_head(ax4, 3, 4, 0.8, COLORS[\"signal_1\"], \"P1\")\n", + "draw_head(ax4, 7, 4, 0.8, COLORS[\"signal_2\"], \"P2\")\n", + "\n", + "# Heart symbols as text\n", + "ax4.text(3, 2.5, \"<3\", fontsize=14, ha='center', color=COLORS[\"negative\"], fontweight='bold')\n", + "ax4.text(7, 2.5, \"<3\", fontsize=14, ha='center', color=COLORS[\"negative\"], fontweight='bold')\n", + "\n", + "# Synchronized heartbeat waves\n", + "heartbeat_t = np.linspace(0, 4*np.pi, 100)\n", + "heartbeat = np.sin(heartbeat_t) * np.exp(-0.1 * np.abs(heartbeat_t % (2*np.pi) - np.pi))\n", + "ax4.plot(np.linspace(1.5, 4.5, 100), 1.5 + 0.3*heartbeat, color=COLORS[\"negative\"], lw=2)\n", + "ax4.plot(np.linspace(5.5, 8.5, 100), 1.5 + 0.3*heartbeat, color=COLORS[\"negative\"], lw=2)\n", + "\n", + "# Connection\n", + "ax4.plot([4, 6], [2.5, 2.5], ':', color=COLORS[\"negative\"], lw=2)\n", + "\n", + "ax4.text(5, 6, \"Breathing, arousal, heart rate\", fontsize=10, ha='center')\n", + "ax4.text(5, 0.5, \"Shared physiological state\\n(Less cognitive, but socially meaningful)\", \n", + " ha='center', fontsize=9, style='italic', color=COLORS[\"text\"])\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 11: Four mechanisms of inter-brain synchrony\")\n", + "print(\" 1. Shared stimulus -> similar sensory processing (control with pseudo-pairs)\")\n", + "print(\" 2. Behavioral coordination -> synchronized motor/sensory activity\")\n", + "print(\" 3. Predictive coupling -> interactive dynamics (most 'social')\")\n", + "print(\" 4. Physiological coupling -> shared arousal state\")" + ] + }, + { + "cell_type": "markdown", + "id": "df344d22", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 11. HyPyP and the Tool Ecosystem\n", + "\n", + "**⏱️ Duration: 5 minutes**\n", + "\n", + "### HyPyP: Hyperscanning Python Pipeline\n", + "\n", + "**HyPyP** is an open-source Python library specifically designed for hyperscanning analysis:\n", + "\n", + "| Feature | Description |\n", + "|---------|-------------|\n", + "| **Built on MNE-Python** | Leverages the powerful MNE ecosystem |\n", + "| **Connectivity metrics** | PLV, coherence, correlation, and more |\n", + "| **Statistical analysis** | Surrogates, permutation tests, pseudo-pairs |\n", + "| **Visualization** | Topoplots, circular plots, matrices |\n", + "| **Data structures** | Handles dual-subject data natively |\n", + "\n", + "> 📚 **Reference**: Ayrolles et al. (2021). \"HyPyP: A toolkit for hyperscanning analysis\"\n", + "\n", + "### Our Approach in This Workshop\n", + "\n", + "```\n", + "┌───────────────────────────────────────────────────────────┐\n", + "│ UNDERSTAND │\n", + "│ Build from scratch → know WHAT the metrics compute │\n", + "├───────────────────────────────────────────────────────────┤\n", + "│ COMPARE │\n", + "│ Validate against HyPyP → ensure correctness │\n", + "├───────────────────────────────────────────────────────────┤\n", + "│ APPLY │\n", + "│ Use HyPyP/MNE in practice → efficient production code │\n", + "└───────────────────────────────────────────────────────────┘\n", + "```\n", + "\n", + "### Tool Ecosystem Overview\n", + "\n", + "| Tool | Purpose | Relationship |\n", + "|------|---------|--------------|\n", + "| **MNE-Python** | EEG/MEG analysis foundation | Core dependency |\n", + "| **mne-connectivity** | Single-brain connectivity | Base for metrics |\n", + "| **HyPyP** | Hyperscanning-specific | Our comparison target |\n", + "| **This workshop** | Educational implementations | Understanding-focused |\n", + "| **BCT (MATLAB)** | Graph theory metrics | Graph analysis inspiration |\n", + "\n", + "### In Each Metric Notebook\n", + "\n", + "For every connectivity metric (PLV, coherence, etc.), we will:\n", + "\n", + "1. **Intuition**: What does this metric capture?\n", + "2. **Mathematics**: The actual formula\n", + "3. **Implementation**: Code from scratch\n", + "4. **Validation**: Compare to HyPyP\n", + "5. **Application**: Use on hyperscanning data\n", + "6. **Interpretation**: What do results mean?\n", + "\n", + "> 💡 **Goal**: You'll be able to use HyPyP confidently AND know exactly what's happening under the hood!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1b55b055", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 12: Tool Ecosystem\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "ax.set_xlim(0, 12)\n", + "ax.set_ylim(0, 10)\n", + "ax.set_aspect('equal')\n", + "ax.axis('off')\n", + "\n", + "# Central node: Your Analysis\n", + "center_x, center_y = 6, 5\n", + "center_radius = 1.2\n", + "\n", + "# Draw central circle\n", + "center = Circle((center_x, center_y), center_radius, \n", + " facecolor=COLORS[\"high_sync\"], edgecolor=COLORS[\"text\"], \n", + " linewidth=3, alpha=0.9)\n", + "ax.add_patch(center)\n", + "ax.text(center_x, center_y, \"Your\\nAnalysis\", ha='center', va='center', \n", + " fontsize=11, fontweight='bold', color='white')\n", + "\n", + "# Surrounding tools with their positions and colors\n", + "tools = [\n", + " {\"name\": \"MNE-Python\", \"desc\": \"EEG/MEG\\nFoundation\", \"angle\": 90, \n", + " \"color\": COLORS[\"signal_1\"], \"radius\": 3.2},\n", + " {\"name\": \"HyPyP\", \"desc\": \"Hyperscanning\\nPipeline\", \"angle\": 162, \n", + " \"color\": COLORS[\"signal_2\"], \"radius\": 3.2},\n", + " {\"name\": \"This\\nWorkshop\", \"desc\": \"Educational\\nImplementations\", \"angle\": 234, \n", + " \"color\": COLORS[\"signal_3\"], \"radius\": 3.2},\n", + " {\"name\": \"mne-\\nconnectivity\", \"desc\": \"Connectivity\\nMetrics\", \"angle\": 306, \n", + " \"color\": COLORS[\"signal_4\"], \"radius\": 3.2},\n", + " {\"name\": \"NumPy/\\nSciPy\", \"desc\": \"Scientific\\nComputing\", \"angle\": 18, \n", + " \"color\": COLORS[\"signal_5\"], \"radius\": 3.2},\n", + "]\n", + "\n", + "for tool in tools:\n", + " angle_rad = np.radians(tool[\"angle\"])\n", + " x = center_x + tool[\"radius\"] * np.cos(angle_rad)\n", + " y = center_y + tool[\"radius\"] * np.sin(angle_rad)\n", + " \n", + " # Draw tool circle\n", + " tool_circle = Circle((x, y), 0.9, facecolor=tool[\"color\"], \n", + " edgecolor=COLORS[\"text\"], linewidth=2, alpha=0.8)\n", + " ax.add_patch(tool_circle)\n", + " ax.text(x, y + 0.1, tool[\"name\"], ha='center', va='center', \n", + " fontsize=9, fontweight='bold', color=COLORS[\"text\"])\n", + " \n", + " # Draw connecting line\n", + " dx = center_x - x\n", + " dy = center_y - y\n", + " dist = np.sqrt(dx**2 + dy**2)\n", + " \n", + " # Start and end points (from edge of circles)\n", + " start_x = x + 0.9 * dx / dist\n", + " start_y = y + 0.9 * dy / dist\n", + " end_x = center_x - center_radius * dx / dist\n", + " end_y = center_y - center_radius * dy / dist\n", + " \n", + " ax.annotate('', xy=(end_x, end_y), xytext=(start_x, start_y),\n", + " arrowprops=dict(arrowstyle='->', color=tool[\"color\"], lw=2.5))\n", + " \n", + " # Description below\n", + " desc_y = y - 1.3 if tool[\"angle\"] > 180 else y + 1.3\n", + " ax.text(x, desc_y, tool[\"desc\"], ha='center', va='center', \n", + " fontsize=8, color=COLORS[\"text\"], style='italic')\n", + "\n", + "ax.set_title(\"Hyperscanning Tool Ecosystem\", fontsize=14, fontweight='bold', pad=20)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 12: Tool ecosystem showing how components work together\")" + ] + }, + { + "cell_type": "markdown", + "id": "6e49d329", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 12. Complete Hyperscanning Pipeline\n", + "\n", + "**Duration: 5 minutes**\n", + "\n", + "### End-to-End Workflow\n", + "\n", + "A complete hyperscanning analysis follows these steps:\n", + "\n", + "```\n", + "┌───────────────────────────────────────────────────────────┐\n", + "│ STEP 1: Data Loading & Synchronization │\n", + "│ - Load recordings from both participants │\n", + "│ - Verify temporal alignment (trigger channels) │\n", + "│ - Interpolate to common time base if needed │\n", + "└───────────────────────────────────────────────────────────┘\n", + " ↓\n", + "┌───────────────────────────────────────────────────────────┐\n", + "│ STEP 2: Preprocessing │\n", + "│ - Filter to frequency band of interest │\n", + "│ - Artifact rejection (BOTH participants must be clean) │\n", + "│ - Re-reference (same scheme for both) │\n", + "│ - Bad channel interpolation │\n", + "└───────────────────────────────────────────────────────────┘\n", + " ↓\n", + "┌───────────────────────────────────────────────────────────┐\n", + "│ STEP 3: Create Hyperscanning Data Structure │\n", + "│ - Combine data with P1_, P2_ channel prefixes │\n", + "│ - Create participant labels │\n", + "│ - Organize for connectivity analysis │\n", + "└───────────────────────────────────────────────────────────┘\n", + " ↓\n", + "┌───────────────────────────────────────────────────────────┐\n", + "│ STEP 4: Compute Connectivity │\n", + "│ - Within-P1 block (n_p1 × n_p1) │\n", + "│ - Within-P2 block (n_p2 × n_p2) │\n", + "│ - Between-brain block (n_p1 × n_p2) │\n", + "│ - Full combined matrix ((n_p1+n_p2) × (n_p1+n_p2)) │\n", + "└───────────────────────────────────────────────────────────┘\n", + " ↓\n", + "┌───────────────────────────────────────────────────────────┐\n", + "│ STEP 5: Statistical Testing │\n", + "│ - Surrogate distribution (phase shuffling) │\n", + "│ - Pseudo-pair comparison │\n", + "│ - Multiple comparisons correction │\n", + "└───────────────────────────────────────────────────────────┘\n", + " ↓\n", + "┌───────────────────────────────────────────────────────────┐\n", + "│ STEP 6: Visualization & Interpretation │\n", + "│ - Connectivity matrices │\n", + "│ - Significant connections │\n", + "│ - Summary statistics │\n", + "│ - Relate to behavioral/clinical outcomes │\n", + "└───────────────────────────────────────────────────────────┘\n", + "```\n", + "\n", + "### Key Code Functions (Preview)\n", + "\n", + "We've defined utility functions earlier in this notebook:\n", + "\n", + "| Function | Purpose |\n", + "|----------|---------|\n", + "| `create_hyperscanning_data_structure()` | Combine P1 + P2 data |\n", + "| `extract_connectivity_blocks()` | Split full matrix into blocks |\n", + "| `combine_connectivity_blocks()` | Merge blocks into full matrix |\n", + "\n", + "In subsequent notebooks, we'll add connectivity computation functions (PLV, coherence, etc.) that integrate with this pipeline." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "81d15784", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 13: Complete Pipeline Flowchart\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 10))\n", + "ax.set_xlim(0, 14)\n", + "ax.set_ylim(0, 12)\n", + "ax.axis('off')\n", + "\n", + "# Pipeline steps with colors\n", + "steps = [\n", + " {\"name\": \"1. Data Loading\", \"desc\": \"Load & Sync\", \"y\": 10.5, \"color\": COLORS[\"signal_1\"]},\n", + " {\"name\": \"2. Preprocessing\", \"desc\": \"Filter & Clean\", \"y\": 8.5, \"color\": COLORS[\"signal_2\"]},\n", + " {\"name\": \"3. Data Structure\", \"desc\": \"Combine P1+P2\", \"y\": 6.5, \"color\": COLORS[\"signal_3\"]},\n", + " {\"name\": \"4. Connectivity\", \"desc\": \"Compute Metrics\", \"y\": 4.5, \"color\": COLORS[\"signal_4\"]},\n", + " {\"name\": \"5. Statistics\", \"desc\": \"Test Significance\", \"y\": 2.5, \"color\": COLORS[\"signal_5\"]},\n", + " {\"name\": \"6. Interpretation\", \"desc\": \"Results & Insights\", \"y\": 0.5, \"color\": COLORS[\"high_sync\"]},\n", + "]\n", + "\n", + "box_width = 4\n", + "box_height = 1.2\n", + "\n", + "for i, step in enumerate(steps):\n", + " # Main box\n", + " rect = Rectangle((5, step[\"y\"] - box_height/2), box_width, box_height,\n", + " facecolor=step[\"color\"], edgecolor=COLORS[\"text\"],\n", + " linewidth=2, alpha=0.8)\n", + " ax.add_patch(rect)\n", + " \n", + " # Step name\n", + " ax.text(7, step[\"y\"] + 0.15, step[\"name\"], ha='center', va='center',\n", + " fontsize=11, fontweight='bold', color=COLORS[\"text\"])\n", + " ax.text(7, step[\"y\"] - 0.25, step[\"desc\"], ha='center', va='center',\n", + " fontsize=9, color=COLORS[\"text\"], style='italic')\n", + " \n", + " # Arrow to next step\n", + " if i < len(steps) - 1:\n", + " ax.annotate('', xy=(7, step[\"y\"] - box_height/2 - 0.3),\n", + " xytext=(7, step[\"y\"] - box_height/2 - 0.1),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"text\"], lw=2))\n", + "\n", + "# Left side: P1 data flow\n", + "ax.text(2, 10.5, \"P1 Data\", ha='center', va='center', fontsize=10, \n", + " fontweight='bold', color=COLORS[\"signal_1\"],\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=COLORS[\"signal_1\"]))\n", + "ax.annotate('', xy=(4.9, 10.5), xytext=(3, 10.5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_1\"], lw=2))\n", + "\n", + "# Right side: P2 data flow\n", + "ax.text(12, 10.5, \"P2 Data\", ha='center', va='center', fontsize=10,\n", + " fontweight='bold', color=COLORS[\"signal_2\"],\n", + " bbox=dict(boxstyle='round', facecolor='white', edgecolor=COLORS[\"signal_2\"]))\n", + "ax.annotate('', xy=(9.1, 10.5), xytext=(11, 10.5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_2\"], lw=2))\n", + "\n", + "# Output arrows\n", + "ax.text(11.5, 4.5, \"Within-P1\\nWithin-P2\\nBetween\", ha='left', va='center',\n", + " fontsize=9, color=COLORS[\"text\"])\n", + "ax.annotate('', xy=(11, 4.5), xytext=(9.1, 4.5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_4\"], lw=2))\n", + "\n", + "ax.text(11.5, 2.5, \"p-values\\nEffect sizes\", ha='left', va='center',\n", + " fontsize=9, color=COLORS[\"text\"])\n", + "ax.annotate('', xy=(11, 2.5), xytext=(9.1, 2.5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_5\"], lw=2))\n", + "\n", + "ax.text(11.5, 0.5, \"Figures\\nReports\", ha='left', va='center',\n", + " fontsize=9, color=COLORS[\"text\"])\n", + "ax.annotate('', xy=(11, 0.5), xytext=(9.1, 0.5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"high_sync\"], lw=2))\n", + "\n", + "ax.set_title(\"Hyperscanning Analysis Pipeline\", fontsize=14, fontweight='bold', pad=20)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 13: Complete hyperscanning analysis pipeline flowchart\")" + ] + }, + { + "cell_type": "markdown", + "id": "80c84122", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 13. What's Coming Next\n", + "\n", + "**Duration: 3 minutes**\n", + "\n", + "### Your Journey Through Connectivity Metrics\n", + "\n", + "Now that you understand the hyperscanning framework, you're ready to learn the specific metrics!\n", + "\n", + "```\n", + " ┌─────────────────────────────────┐\n", + " │ E02: Introduction to │\n", + " │ Hyperscanning (YOU ARE HERE) │\n", + " └───────────────┬─────────────────┘\n", + " │\n", + " ┌─────────────────────────┼─────────────────────────┐\n", + " │ │ │\n", + " ▼ ▼ ▼\n", + "┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐\n", + "│ BLOCK F │ │ BLOCK G │ │ BLOCK H │\n", + "│ Coherence │ │ Phase-Based │ │ Amplitude │\n", + "├─────────────────┤ ├─────────────────┤ ├─────────────────┤\n", + "│ F01: Spectral │ │ G01: PLV │ │ H01: Envelope │\n", + "│ Coherence │ │ G02: PLI │ │ Correlation│\n", + "│ F02: Imaginary │ │ G03: wPLI │ │ H02: Power │\n", + "│ Coherence │ │ │ │ Correlation│\n", + "└─────────────────┘ └─────────────────┘ └─────────────────┘\n", + "```\n", + "\n", + "### What Each Block Covers\n", + "\n", + "| Block | Focus | Key Question |\n", + "|-------|-------|--------------|\n", + "| **F: Coherence** | Frequency-domain coupling | Are signals linearly related at each frequency? |\n", + "| **G: Phase** | Phase relationship | Are phases aligned across signals? |\n", + "| **H: Amplitude** | Power fluctuations | Do power envelopes co-vary? |\n", + "\n", + "### In Each Metric Notebook\n", + "\n", + "1. **Intuition**: What does this metric capture?\n", + "2. **Mathematics**: The formula, step by step\n", + "3. **Implementation**: Python code from scratch\n", + "4. **Visualization**: See what the metric reveals\n", + "5. **HyPyP Comparison**: Validate against production tools\n", + "6. **Hyperscanning Application**: Apply to inter-brain analysis\n", + "7. **Interpretation Guide**: What do results mean?\n", + "\n", + "> **Ready to dive in?** Next up: **F01 - Spectral Coherence**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ce91b253", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 14: Metric Roadmap - Your Journey\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 9))\n", + "ax.set_xlim(0, 14)\n", + "ax.set_ylim(0, 11)\n", + "ax.axis('off')\n", + "\n", + "# Current position (E02)\n", + "current_x, current_y = 7, 9.5\n", + "current_box = Rectangle((current_x - 1.5, current_y - 0.5), 3, 1,\n", + " facecolor=COLORS[\"high_sync\"], edgecolor=COLORS[\"text\"],\n", + " linewidth=3, alpha=0.9)\n", + "ax.add_patch(current_box)\n", + "ax.text(current_x, current_y, \"E02: Introduction\\nto Hyperscanning\", \n", + " ha='center', va='center', fontsize=10, fontweight='bold', color='white')\n", + "ax.text(current_x, current_y + 0.8, \"★ YOU ARE HERE ★\", \n", + " ha='center', va='center', fontsize=9, fontweight='bold', color=COLORS[\"high_sync\"])\n", + "\n", + "# Arrows down to blocks\n", + "for x_offset in [-3.5, 0, 3.5]:\n", + " ax.annotate('', xy=(current_x + x_offset, 7.2), xytext=(current_x, current_y - 0.6),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"text\"], lw=2,\n", + " connectionstyle=\"arc3,rad=0.1\" if x_offset != 0 else \"arc3,rad=0\"))\n", + "\n", + "# Block F: Coherence\n", + "block_f_x = 3.5\n", + "block_f_y = 6\n", + "block_f = Rectangle((block_f_x - 1.8, block_f_y - 0.7), 3.6, 1.4,\n", + " facecolor=COLORS[\"signal_1\"], edgecolor=COLORS[\"text\"],\n", + " linewidth=2, alpha=0.8)\n", + "ax.add_patch(block_f)\n", + "ax.text(block_f_x, block_f_y + 0.3, \"Block F\", ha='center', va='center',\n", + " fontsize=11, fontweight='bold', color=COLORS[\"text\"])\n", + "ax.text(block_f_x, block_f_y - 0.2, \"Coherence-Based\", ha='center', va='center',\n", + " fontsize=9, color=COLORS[\"text\"])\n", + "\n", + "# F notebooks\n", + "f_notebooks = [(\"F01\", \"Spectral\\nCoherence\"), (\"F02\", \"Imaginary\\nCoherence\")]\n", + "for i, (nb_id, nb_name) in enumerate(f_notebooks):\n", + " y_pos = 4.2 - i * 1.3\n", + " nb_box = Rectangle((block_f_x - 1.5, y_pos - 0.5), 3, 1,\n", + " facecolor='white', edgecolor=COLORS[\"signal_1\"],\n", + " linewidth=2, alpha=0.9)\n", + " ax.add_patch(nb_box)\n", + " ax.text(block_f_x, y_pos, f\"{nb_id}: {nb_name}\", ha='center', va='center',\n", + " fontsize=8, color=COLORS[\"text\"])\n", + "ax.annotate('', xy=(block_f_x, 4.7), xytext=(block_f_x, block_f_y - 0.8),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_1\"], lw=2))\n", + "\n", + "# Block G: Phase\n", + "block_g_x = 7\n", + "block_g_y = 6\n", + "block_g = Rectangle((block_g_x - 1.8, block_g_y - 0.7), 3.6, 1.4,\n", + " facecolor=COLORS[\"signal_2\"], edgecolor=COLORS[\"text\"],\n", + " linewidth=2, alpha=0.8)\n", + "ax.add_patch(block_g)\n", + "ax.text(block_g_x, block_g_y + 0.3, \"Block G\", ha='center', va='center',\n", + " fontsize=11, fontweight='bold', color=COLORS[\"text\"])\n", + "ax.text(block_g_x, block_g_y - 0.2, \"Phase-Based\", ha='center', va='center',\n", + " fontsize=9, color=COLORS[\"text\"])\n", + "\n", + "# G notebooks\n", + "g_notebooks = [(\"G01\", \"PLV\"), (\"G02\", \"PLI\"), (\"G03\", \"wPLI\")]\n", + "for i, (nb_id, nb_name) in enumerate(g_notebooks):\n", + " y_pos = 4.2 - i * 1.3\n", + " nb_box = Rectangle((block_g_x - 1.2, y_pos - 0.4), 2.4, 0.8,\n", + " facecolor='white', edgecolor=COLORS[\"signal_2\"],\n", + " linewidth=2, alpha=0.9)\n", + " ax.add_patch(nb_box)\n", + " ax.text(block_g_x, y_pos, f\"{nb_id}: {nb_name}\", ha='center', va='center',\n", + " fontsize=8, color=COLORS[\"text\"])\n", + "ax.annotate('', xy=(block_g_x, 4.6), xytext=(block_g_x, block_g_y - 0.8),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_2\"], lw=2))\n", + "\n", + "# Block H: Amplitude\n", + "block_h_x = 10.5\n", + "block_h_y = 6\n", + "block_h = Rectangle((block_h_x - 1.8, block_h_y - 0.7), 3.6, 1.4,\n", + " facecolor=COLORS[\"signal_4\"], edgecolor=COLORS[\"text\"],\n", + " linewidth=2, alpha=0.8)\n", + "ax.add_patch(block_h)\n", + "ax.text(block_h_x, block_h_y + 0.3, \"Block H\", ha='center', va='center',\n", + " fontsize=11, fontweight='bold', color=COLORS[\"text\"])\n", + "ax.text(block_h_x, block_h_y - 0.2, \"Amplitude-Based\", ha='center', va='center',\n", + " fontsize=9, color=COLORS[\"text\"])\n", + "\n", + "# H notebooks\n", + "h_notebooks = [(\"H01\", \"Envelope\\nCorrelation\"), (\"H02\", \"Power\\nCorrelation\")]\n", + "for i, (nb_id, nb_name) in enumerate(h_notebooks):\n", + " y_pos = 4.2 - i * 1.3\n", + " nb_box = Rectangle((block_h_x - 1.5, y_pos - 0.5), 3, 1,\n", + " facecolor='white', edgecolor=COLORS[\"signal_4\"],\n", + " linewidth=2, alpha=0.9)\n", + " ax.add_patch(nb_box)\n", + " ax.text(block_h_x, y_pos, f\"{nb_id}: {nb_name}\", ha='center', va='center',\n", + " fontsize=8, color=COLORS[\"text\"])\n", + "ax.annotate('', xy=(block_h_x, 4.7), xytext=(block_h_x, block_h_y - 0.8),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS[\"signal_4\"], lw=2))\n", + "\n", + "# Legend at bottom\n", + "legend_y = 0.5\n", + "ax.text(7, legend_y, \"Each notebook: Intuition → Math → Code → Visualization → HyPyP → Application\",\n", + " ha='center', va='center', fontsize=10, style='italic', color=COLORS[\"text\"])\n", + "\n", + "ax.set_title(\"Your Journey Through Connectivity Metrics\", fontsize=14, fontweight='bold', pad=20)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 14: Metric roadmap showing your learning journey\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b6629a4a", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Visualization 15: Example Results Dashboard\n", + "# =============================================================================\n", + "\n", + "np.random.seed(789)\n", + "\n", + "fig = plt.figure(figsize=(16, 10))\n", + "\n", + "# Create grid layout\n", + "gs = fig.add_gridspec(3, 3, hspace=0.35, wspace=0.3)\n", + "\n", + "# Panel A: Time series from both participants\n", + "ax_ts = fig.add_subplot(gs[0, :2])\n", + "t_dash = np.linspace(0, 2, 512)\n", + "signal_dash_p1 = np.sin(2 * np.pi * 10 * t_dash) + 0.3 * np.random.randn(len(t_dash))\n", + "signal_dash_p2 = np.sin(2 * np.pi * 10 * t_dash + 0.5) + 0.3 * np.random.randn(len(t_dash))\n", + "ax_ts.plot(t_dash, signal_dash_p1 + 2, color=COLORS[\"signal_1\"], lw=1.5, label=\"P1 (Fz)\")\n", + "ax_ts.plot(t_dash, signal_dash_p2 - 2, color=COLORS[\"signal_2\"], lw=1.5, label=\"P2 (Fz)\")\n", + "ax_ts.set_xlabel(\"Time (s)\")\n", + "ax_ts.set_ylabel(\"Amplitude (a.u.)\")\n", + "ax_ts.set_title(\"A. Raw Signals\", fontweight='bold')\n", + "ax_ts.legend(loc='upper right')\n", + "ax_ts.set_xlim(0, 2)\n", + "\n", + "# Panel B: Power spectra\n", + "ax_psd = fig.add_subplot(gs[0, 2])\n", + "freqs_dash = np.linspace(1, 40, 100)\n", + "psd_p1 = 1 / (1 + (freqs_dash - 10)**2 / 25) + 0.1 * np.random.rand(len(freqs_dash))\n", + "psd_p2 = 1 / (1 + (freqs_dash - 10)**2 / 30) + 0.1 * np.random.rand(len(freqs_dash))\n", + "ax_psd.semilogy(freqs_dash, psd_p1, color=COLORS[\"signal_1\"], lw=2, label=\"P1\")\n", + "ax_psd.semilogy(freqs_dash, psd_p2, color=COLORS[\"signal_2\"], lw=2, label=\"P2\")\n", + "ax_psd.axvspan(8, 13, alpha=0.2, color=COLORS[\"alpha\"])\n", + "ax_psd.set_xlabel(\"Frequency (Hz)\")\n", + "ax_psd.set_ylabel(\"Power\")\n", + "ax_psd.set_title(\"B. Power Spectra\", fontweight='bold')\n", + "ax_psd.legend()\n", + "\n", + "# Panel C: Connectivity matrix (full 2n x 2n)\n", + "ax_mat = fig.add_subplot(gs[1, 0])\n", + "n_ch_dash = 4\n", + "conn_matrix = np.random.rand(2*n_ch_dash, 2*n_ch_dash) * 0.3 + 0.2\n", + "# Make within-brain connections stronger\n", + "conn_matrix[:n_ch_dash, :n_ch_dash] += 0.3\n", + "conn_matrix[n_ch_dash:, n_ch_dash:] += 0.3\n", + "# Make diagonal = 1\n", + "np.fill_diagonal(conn_matrix, 1)\n", + "# Make symmetric\n", + "conn_matrix = (conn_matrix + conn_matrix.T) / 2\n", + "\n", + "im_dash = ax_mat.imshow(conn_matrix, cmap='RdYlBu_r', vmin=0, vmax=1, aspect='equal')\n", + "ax_mat.axhline(n_ch_dash - 0.5, color='white', lw=2)\n", + "ax_mat.axvline(n_ch_dash - 0.5, color='white', lw=2)\n", + "ax_mat.set_xticks([1, 5])\n", + "ax_mat.set_xticklabels([\"P1\", \"P2\"])\n", + "ax_mat.set_yticks([1, 5])\n", + "ax_mat.set_yticklabels([\"P1\", \"P2\"])\n", + "ax_mat.set_title(\"C. Full Connectivity\", fontweight='bold')\n", + "plt.colorbar(im_dash, ax=ax_mat, shrink=0.8, label=\"PLV\")\n", + "\n", + "# Panel D: Between-brain detail\n", + "ax_between = fig.add_subplot(gs[1, 1])\n", + "between_matrix = conn_matrix[:n_ch_dash, n_ch_dash:] + 0.1 * np.random.rand(n_ch_dash, n_ch_dash)\n", + "im_bet = ax_between.imshow(between_matrix, cmap='RdYlBu_r', vmin=0, vmax=1, aspect='equal')\n", + "ax_between.set_xlabel(\"P2 Channels\")\n", + "ax_between.set_ylabel(\"P1 Channels\")\n", + "ax_between.set_title(\"D. Between-Brain Block\", fontweight='bold')\n", + "plt.colorbar(im_bet, ax=ax_between, shrink=0.8, label=\"PLV\")\n", + "\n", + "# Panel E: Significant connections (bar plot)\n", + "ax_sig = fig.add_subplot(gs[1, 2])\n", + "conditions = [\"Cooperation\", \"Competition\", \"Rest\"]\n", + "sync_values_dash = [0.62, 0.41, 0.35]\n", + "sync_errors = [0.08, 0.07, 0.06]\n", + "colors_dash = [COLORS[\"high_sync\"], COLORS[\"signal_4\"], COLORS[\"grid\"]]\n", + "bars_dash = ax_sig.bar(conditions, sync_values_dash, color=colors_dash, \n", + " edgecolor='white', linewidth=2, alpha=0.8)\n", + "ax_sig.errorbar(conditions, sync_values_dash, yerr=sync_errors, \n", + " fmt='none', color=COLORS[\"text\"], capsize=5)\n", + "ax_sig.set_ylabel(\"Mean Between-Brain PLV\")\n", + "ax_sig.set_title(\"E. Condition Comparison\", fontweight='bold')\n", + "ax_sig.set_ylim(0, 0.85)\n", + "\n", + "# Add significance markers\n", + "ax_sig.plot([0, 0, 1, 1], [0.72, 0.74, 0.74, 0.72], color=COLORS[\"text\"], lw=1.5)\n", + "ax_sig.text(0.5, 0.75, \"**\", ha='center', fontsize=12)\n", + "\n", + "# Panel F: Summary statistics\n", + "ax_summary = fig.add_subplot(gs[2, :])\n", + "ax_summary.axis('off')\n", + "\n", + "summary_text = \"\"\"\n", + "┌────────────────────────────────────────────────────────────────────────────────────────────┐\n", + "│ ANALYSIS SUMMARY │\n", + "├────────────────────────────────────────────────────────────────────────────────────────────┤\n", + "│ • Participants: N = 20 pairs • Frequency band: Alpha (8-13 Hz) • Metric: PLV │\n", + "│ • Within-P1 mean PLV: 0.58 ± 0.12 • Within-P2 mean PLV: 0.55 ± 0.11 │\n", + "│ • Between-brain mean PLV: 0.42 ± 0.09 (Cooperation) vs 0.35 ± 0.08 (Rest) │\n", + "│ • Real pairs vs Pseudo-pairs: t(38) = 4.2, p < 0.001 ✓ │\n", + "│ • Conclusion: Significant interaction-specific inter-brain synchrony in alpha band │\n", + "└────────────────────────────────────────────────────────────────────────────────────────────┘\n", + "\"\"\"\n", + "ax_summary.text(0.5, 0.5, summary_text, ha='center', va='center', \n", + " fontsize=10, family='monospace',\n", + " bbox=dict(boxstyle='round', facecolor=COLORS[\"signal_1\"], alpha=0.2))\n", + "ax_summary.set_title(\"F. Summary Statistics\", fontweight='bold', y=0.95)\n", + "\n", + "fig.suptitle(\"Hyperscanning Results Dashboard\", fontsize=14, fontweight='bold', y=0.98)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"✓ Visualization 15: Example results dashboard showing complete analysis output\")" + ] + }, + { + "cell_type": "markdown", + "id": "faa56efe", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 14. Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "| Concept | Key Point |\n", + "|---------|-----------|\n", + "| **Hyperscanning** | Simultaneous recording from 2+ interacting people |\n", + "| **Inter-brain synchrony** | Coupling between brain signals of different people |\n", + "| **No volume conduction** | Between-brain: no shared conduction (advantage!) |\n", + "| **Confounds** | Behavioral sync, shared stimuli, movement artifacts |\n", + "| **Pseudo-pairs** | Essential control for interaction specificity |\n", + "| **Data structure** | Within-P1, Within-P2, Between blocks |\n", + "| **Metric choice** | Depends on phase vs amplitude, directed vs undirected |\n", + "\n", + "### What We Covered\n", + "\n", + "1. **Definition**: Hyperscanning studies social brain IN social context\n", + "2. **Applications**: Education, clinical, development, performance\n", + "3. **Paradigms**: Cooperation, communication, joint attention, imitation\n", + "4. **Challenges**: Behavioral confounds, stimulus-driven effects\n", + "5. **Data organization**: Combined matrices with clear labeling\n", + "6. **Preprocessing**: Synchronization, joint artifact rejection\n", + "7. **Metric selection**: PLV, coherence, correlation, transfer entropy\n", + "8. **Pseudo-pairs**: The key control analysis\n", + "9. **Interpretation**: Correlation vs causation, multiple mechanisms\n", + "\n", + "### Utility Functions Created\n", + "\n", + "```python\n", + "# Data structure\n", + "create_hyperscanning_data_structure(data_p1, data_p2, channels_p1, channels_p2)\n", + "extract_connectivity_blocks(full_matrix, n_channels_p1)\n", + "combine_connectivity_blocks(within_p1, within_p2, between)\n", + "```\n", + "\n", + "### Ready for Connectivity Metrics!\n", + "\n", + "You now have the conceptual foundation to understand:\n", + "- **WHY** we measure inter-brain connectivity\n", + "- **WHAT** challenges we face\n", + "- **HOW** to structure and analyze hyperscanning data\n", + "\n", + "Next: Learn the specific metrics (coherence, PLV, PLI, etc.) and apply them!" + ] + }, + { + "cell_type": "markdown", + "id": "00843a59", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 15. Discussion Questions\n", + "\n", + "1. **Experimental Design**: You want to study parent-child attachment through hyperscanning. What paradigm would you design? What frequencies might be most relevant? What confounds would you worry about?\n", + "\n", + "2. **Addressing Criticism**: A reviewer criticizes your study: \"This synchrony is just because both participants see the same screen.\" How do you respond? What analyses would address this concern?\n", + "\n", + "3. **Causality**: Inter-brain synchrony during therapy predicts treatment outcome. Does this mean we should try to INCREASE synchrony to improve treatment? What cautions would you raise?\n", + "\n", + "4. **Frequency Specificity**: You find theta synchrony during cooperation but alpha synchrony during competition. What might explain frequency-specific effects in different social contexts?\n", + "\n", + "5. **Remote Interaction**: Your hyperscanning study involves video calls (remote interaction). What additional challenges does this introduce compared to face-to-face interaction?\n", + "\n", + "---\n", + "\n", + "## 16. Exercises\n", + "\n", + "### Exercise 1: Data Structure Practice\n", + "Using the simulated data from this notebook:\n", + "- Create a hyperscanning data structure with 6 channels per participant\n", + "- Verify that channel names are correctly prefixed\n", + "- Extract the between-brain block and compute its mean value\n", + "\n", + "### Exercise 2: Pseudo-Pair Simulation\n", + "- Generate data for 6 \"participants\" forming 3 real pairs\n", + "- Create all possible pseudo-pairs\n", + "- Compute simple correlation for real vs pseudo pairs\n", + "- Is there a significant difference?\n", + "\n", + "### Exercise 3: Metric Selection\n", + "For each scenario, choose the most appropriate metric and justify:\n", + "- a) \"We want to know if phases align during conversation\" \n", + "- b) \"We want to know who influences whom during teaching\"\n", + "- c) \"We need a robust measure for clinical application\"\n", + "\n", + "### Exercise 4: Critical Thinking\n", + "You find that inter-brain synchrony is LOWER for real pairs than pseudo-pairs during a competitive task. What might explain this counterintuitive finding?\n", + "\n", + "---\n", + "\n", + "*Notebook completed. Proceed to F01: Spectral Coherence.*" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4d7c0e52", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 1 Solution: Data Structure Practice\n", + "# =============================================================================\n", + "\n", + "print(\"=\" * 60)\n", + "print(\"Exercise 1: Data Structure Practice\")\n", + "print(\"=\" * 60)\n", + "\n", + "# Create data for 6 channels per participant\n", + "channels_ex1_p1 = [\"Fz\", \"Cz\", \"Pz\", \"F3\", \"F4\", \"Oz\"]\n", + "channels_ex1_p2 = [\"Fz\", \"Cz\", \"Pz\", \"F3\", \"F4\", \"Oz\"]\n", + "\n", + "fs_ex1 = 256\n", + "duration_ex1 = 5\n", + "n_samples_ex1 = fs_ex1 * duration_ex1\n", + "\n", + "# Simulate data\n", + "np.random.seed(123)\n", + "data_ex1_p1 = np.random.randn(len(channels_ex1_p1), n_samples_ex1)\n", + "data_ex1_p2 = np.random.randn(len(channels_ex1_p2), n_samples_ex1)\n", + "\n", + "# Create hyperscanning data structure\n", + "def create_hyperscanning_structure(\n", + " data_p1: NDArray[np.floating],\n", + " data_p2: NDArray[np.floating],\n", + " channels_p1: List[str],\n", + " channels_p2: List[str],\n", + " fs: int\n", + ") -> Dict[str, Any]:\n", + " \"\"\"Create a hyperscanning data structure from two participants' data.\"\"\"\n", + " # Prefix channel names\n", + " prefixed_p1 = [f\"P1_{ch}\" for ch in channels_p1]\n", + " prefixed_p2 = [f\"P2_{ch}\" for ch in channels_p2]\n", + " \n", + " # Combine data\n", + " combined_data = np.vstack([data_p1, data_p2])\n", + " combined_channels = prefixed_p1 + prefixed_p2\n", + " \n", + " # Create labels\n", + " labels = np.array([1] * len(channels_p1) + [2] * len(channels_p2))\n", + " \n", + " return {\n", + " \"data\": combined_data,\n", + " \"channels\": combined_channels,\n", + " \"participant_labels\": labels,\n", + " \"n_channels_p1\": len(channels_p1),\n", + " \"n_channels_p2\": len(channels_p2),\n", + " \"fs\": fs\n", + " }\n", + "\n", + "hyper_ex1 = create_hyperscanning_structure(\n", + " data_ex1_p1, data_ex1_p2, channels_ex1_p1, channels_ex1_p2, fs_ex1\n", + ")\n", + "\n", + "print(f\"Combined channels: {hyper_ex1['channels']}\")\n", + "print(f\"Data shape: {hyper_ex1['data'].shape}\")\n", + "print(f\"Participant labels: {hyper_ex1['participant_labels']}\")\n", + "\n", + "# Extract between-brain block\n", + "n_p1 = hyper_ex1[\"n_channels_p1\"]\n", + "n_p2 = hyper_ex1[\"n_channels_p2\"]\n", + "\n", + "# Compute simple correlation matrix\n", + "from scipy.stats import pearsonr\n", + "corr_matrix = np.zeros((n_p1 + n_p2, n_p1 + n_p2))\n", + "for i in range(n_p1 + n_p2):\n", + " for j in range(n_p1 + n_p2):\n", + " corr_matrix[i, j], _ = pearsonr(hyper_ex1[\"data\"][i], hyper_ex1[\"data\"][j])\n", + "\n", + "# Extract between-brain block (P1 rows, P2 columns)\n", + "between_block = corr_matrix[:n_p1, n_p1:]\n", + "print(f\"\\nBetween-brain block shape: {between_block.shape}\")\n", + "print(f\"Between-brain block mean: {between_block.mean():.4f}\")\n", + "print(\"(Expected close to 0 for random data)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1da6bc95", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 2 Solution: Pseudo-Pair Simulation\n", + "# =============================================================================\n", + "\n", + "print(\"=\" * 60)\n", + "print(\"Exercise 2: Pseudo-Pair Simulation\")\n", + "print(\"=\" * 60)\n", + "\n", + "np.random.seed(456)\n", + "\n", + "# Generate 6 participants forming 3 real pairs\n", + "# Real pairs have correlated signals (shared component)\n", + "n_participants = 6\n", + "n_samples_ex2 = 1000\n", + "\n", + "# Shared component for each real pair\n", + "shared_1 = np.random.randn(n_samples_ex2)\n", + "shared_2 = np.random.randn(n_samples_ex2)\n", + "shared_3 = np.random.randn(n_samples_ex2)\n", + "\n", + "# Individual noise\n", + "noise_level = 0.5\n", + "\n", + "participants = {\n", + " \"P1\": 0.7 * shared_1 + noise_level * np.random.randn(n_samples_ex2), # Pair 1\n", + " \"P2\": 0.7 * shared_1 + noise_level * np.random.randn(n_samples_ex2), # Pair 1\n", + " \"P3\": 0.7 * shared_2 + noise_level * np.random.randn(n_samples_ex2), # Pair 2\n", + " \"P4\": 0.7 * shared_2 + noise_level * np.random.randn(n_samples_ex2), # Pair 2\n", + " \"P5\": 0.7 * shared_3 + noise_level * np.random.randn(n_samples_ex2), # Pair 3\n", + " \"P6\": 0.7 * shared_3 + noise_level * np.random.randn(n_samples_ex2), # Pair 3\n", + "}\n", + "\n", + "# Real pairs\n", + "real_pairs = [(\"P1\", \"P2\"), (\"P3\", \"P4\"), (\"P5\", \"P6\")]\n", + "\n", + "# All possible pseudo-pairs (participants from different real pairs)\n", + "pseudo_pairs_ex2 = [\n", + " (\"P1\", \"P3\"), (\"P1\", \"P4\"), (\"P1\", \"P5\"), (\"P1\", \"P6\"),\n", + " (\"P2\", \"P3\"), (\"P2\", \"P4\"), (\"P2\", \"P5\"), (\"P2\", \"P6\"),\n", + " (\"P3\", \"P5\"), (\"P3\", \"P6\"),\n", + " (\"P4\", \"P5\"), (\"P4\", \"P6\"),\n", + "]\n", + "\n", + "# Compute correlations\n", + "real_correlations = []\n", + "for p1, p2 in real_pairs:\n", + " corr, _ = pearsonr(participants[p1], participants[p2])\n", + " real_correlations.append(corr)\n", + "\n", + "pseudo_correlations = []\n", + "for p1, p2 in pseudo_pairs_ex2:\n", + " corr, _ = pearsonr(participants[p1], participants[p2])\n", + " pseudo_correlations.append(corr)\n", + "\n", + "print(f\"Real pairs: {real_pairs}\")\n", + "print(f\"Real pair correlations: {[f'{c:.3f}' for c in real_correlations]}\")\n", + "print(f\"Real mean: {np.mean(real_correlations):.3f}\")\n", + "print(f\"\\nNumber of pseudo-pairs: {len(pseudo_pairs_ex2)}\")\n", + "print(f\"Pseudo-pair mean: {np.mean(pseudo_correlations):.3f}\")\n", + "\n", + "# Statistical test\n", + "t_ex2, p_ex2 = stats.ttest_ind(real_correlations, pseudo_correlations)\n", + "print(f\"\\nt-test: t = {t_ex2:.3f}, p = {p_ex2:.4f}\")\n", + "print(f\"Significant difference: {'YES' if p_ex2 < 0.05 else 'NO'}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "3caa6332", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 3 Solution: Metric Selection\n", + "# =============================================================================\n", + "\n", + "print(\"=\" * 60)\n", + "print(\"Exercise 3: Metric Selection\")\n", + "print(\"=\" * 60)\n", + "\n", + "solutions_ex3 = \"\"\"\n", + "a) \"We want to know if phases align during conversation\"\n", + " → PHASE-LOCKING VALUE (PLV)\n", + " Justification: PLV measures phase consistency across trials/time.\n", + " It captures whether neural oscillations are aligned in phase,\n", + " which is the core question here.\n", + "\n", + "b) \"We want to know who influences whom during teaching\"\n", + " → TRANSFER ENTROPY or GRANGER CAUSALITY\n", + " Justification: These are directional metrics that can reveal\n", + " information flow from teacher to student (or vice versa).\n", + " Transfer entropy is particularly suited for nonlinear relationships.\n", + "\n", + "c) \"We need a robust measure for clinical application\"\n", + " → WEIGHTED PHASE LAG INDEX (wPLI) or IMAGINARY COHERENCE\n", + " Justification: These metrics are robust to volume conduction,\n", + " which is critical for clinical reliability. wPLI also handles\n", + " noise well and is less sensitive to outliers.\n", + "\"\"\"\n", + "print(solutions_ex3)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "ec446b81", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 4 Solution: Critical Thinking\n", + "# =============================================================================\n", + "\n", + "print(\"=\" * 60)\n", + "print(\"Exercise 4: Critical Thinking\")\n", + "print(\"=\" * 60)\n", + "\n", + "solution_ex4 = \"\"\"\n", + "Finding: Inter-brain synchrony LOWER for real pairs than pseudo-pairs\n", + "during competition.\n", + "\n", + "Possible explanations:\n", + "\n", + "1. ACTIVE DESYNCHRONIZATION\n", + " During competition, participants may actively try to be unpredictable.\n", + " Being synchronized would make you predictable to your opponent.\n", + " → Lower synchrony = successful competitive strategy\n", + "\n", + "2. DIFFERENT STRATEGIES\n", + " Real competitors develop complementary (not similar) strategies.\n", + " They occupy different \"cognitive niches\" to gain advantage.\n", + " → Functional differentiation, not coordination\n", + "\n", + "3. STIMULUS-DRIVEN BASELINE\n", + " If the task has strong visual/auditory components, pseudo-pairs\n", + " might show HIGH stimulus-locked synchrony simply from processing\n", + " the same sensory input.\n", + " Real pairs might show LOWER stimulus-locking because they're\n", + " focused on opponent modeling rather than stimulus processing.\n", + "\n", + "4. AROUSAL DIFFERENCES\n", + " Competition increases arousal, which can desynchronize neural activity.\n", + " Real competitive pairs have higher arousal than pseudo-pairs.\n", + "\n", + "5. ATTENTION ALLOCATION\n", + " Real competitors attend to different aspects (opponent's actions)\n", + " while pseudo-pairs both attend to the same task elements.\n", + "\n", + "Key insight: \"Higher synchrony = better\" is NOT always true!\n", + "The meaning of synchrony depends entirely on the context.\n", + "\"\"\"\n", + "print(solution_ex4)\n", + "\n", + "print(\"\\n\" + \"=\" * 60)\n", + "print(\"✓ All exercises completed!\")\n", + "print(\"=\" * 60)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/F_coherence_based/F01_spectral_coherence.ipynb b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/F_coherence_based/F01_spectral_coherence.ipynb new file mode 100644 index 0000000..1015b75 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/F_coherence_based/F01_spectral_coherence.ipynb @@ -0,0 +1,2894 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "id": "c2304d6d", + "metadata": {}, + "outputs": [], + "source": [ + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "\n", + "# Local imports\n", + "sys.path.insert(0, str(Path.cwd().parents[2]))\n", + "from src.colors import COLORS\n", + "from src.coherence import (\n", + " compute_cross_spectrum,\n", + " compute_coherence,\n", + " generate_coherent_signals,\n", + " compute_band_coherence,\n", + " compute_all_band_coherence,\n", + " compute_coherence_matrix,\n", + " compute_coherence_matrix_bands,\n", + " compute_coherence_hyperscanning,\n", + " compute_global_coherence_hyperscanning,\n", + " coherence_significance_threshold,\n", + " coherence_surrogate_test,\n", + " compare_with_scipy_coherence,\n", + ")\n", + "\n", + "# Plot settings\n", + "plt.rcParams['figure.facecolor'] = 'white'\n", + "plt.rcParams['axes.facecolor'] = 'white'\n", + "plt.rcParams['axes.grid'] = True\n", + "plt.rcParams['grid.alpha'] = 0.3" + ] + }, + { + "cell_type": "markdown", + "id": "9f8b06eb", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 1: Introduction — Correlation in the Frequency Domain\n", + "\n", + "### The Limitation of Time-Domain Correlation\n", + "\n", + "You already know how to compute correlation between two signals in the time domain. But time-domain correlation has a major limitation: **it mixes all frequencies together**.\n", + "\n", + "Consider two musicians playing together:\n", + "- They might be perfectly synchronized at the tempo (say, 2 Hz)\n", + "- But completely independent in their ornamental flourishes (higher frequencies)\n", + "\n", + "A single correlation coefficient can't capture this frequency-specific relationship.\n", + "\n", + "### Enter Coherence\n", + "\n", + "**Coherence** answers the question: *\"How correlated are signals X and Y at each specific frequency?\"*\n", + "\n", + "- At 10 Hz (alpha): Are the signals related?\n", + "- At 20 Hz (beta): What about here?\n", + "- At 40 Hz (gamma): And here?\n", + "\n", + "This is incredibly powerful for neuroscience, where different frequency bands serve different functions.\n", + "\n", + "### Historical Context\n", + "\n", + "Coherence has been used in EEG analysis since the 1960s-70s. It remains one of the most widely used connectivity measures because:\n", + "\n", + "- It's mathematically well-understood\n", + "- It's easy to compute and interpret\n", + "- It provides frequency-specific information\n", + "\n", + "> **Key Message**: Coherence tells us how correlated two signals are at each frequency — it's correlation in the frequency domain." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "8534f80d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Coherence reveals FREQUENCY-SPECIFIC correlation between signals.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 1: Frequency-Specific Coherence\n", + "# =============================================================================\n", + "\n", + "# Parameters\n", + "fs = 500 # Sampling frequency\n", + "duration = 4 # seconds\n", + "n_samples = int(fs * duration)\n", + "t = np.arange(n_samples) / fs\n", + "np.random.seed(42)\n", + "\n", + "# Create two signals:\n", + "# - Correlated at 10 Hz (alpha) - SAME sinusoid (high coherence)\n", + "# - Uncorrelated around 25 Hz (beta) - INDEPENDENT noise (low coherence)\n", + "\n", + "# Shared 10 Hz component (will have HIGH coherence)\n", + "shared_alpha = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Independent beta-band noise (will have LOW coherence)\n", + "# Use filtered noise - truly independent between signals\n", + "from scipy.signal import butter, filtfilt\n", + "\n", + "def bandpass(data, low, high, fs, order=4):\n", + " b, a = butter(order, [low/(fs/2), high/(fs/2)], btype='band')\n", + " return filtfilt(b, a, data)\n", + "\n", + "# Independent noise in beta band (20-30 Hz)\n", + "beta_noise_1 = bandpass(np.random.randn(n_samples), 20, 30, fs)\n", + "beta_noise_2 = bandpass(np.random.randn(n_samples), 20, 30, fs)\n", + "\n", + "# Normalize to similar amplitude as alpha\n", + "beta_noise_1 = beta_noise_1 / np.std(beta_noise_1)\n", + "beta_noise_2 = beta_noise_2 / np.std(beta_noise_2)\n", + "\n", + "# Combine: shared alpha + independent beta noise\n", + "signal_1 = shared_alpha + beta_noise_1 + 0.2 * np.random.randn(n_samples)\n", + "signal_2 = shared_alpha + beta_noise_2 + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Compute coherence\n", + "freqs, coh = compute_coherence(signal_1, signal_2, fs, nperseg=256)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(2, 1, figsize=(12, 7))\n", + "\n", + "# Top panel: Time series\n", + "ax1 = axes[0]\n", + "time_window = (0, 1) # Show 1 second\n", + "mask = (t >= time_window[0]) & (t <= time_window[1])\n", + "ax1.plot(t[mask], signal_1[mask], color=COLORS['signal_1'], label='Signal 1', linewidth=1.5)\n", + "ax1.plot(t[mask], signal_2[mask], color=COLORS['signal_2'], label='Signal 2', linewidth=1.5, alpha=0.8)\n", + "ax1.set_xlabel('Time (s)', fontsize=12)\n", + "ax1.set_ylabel('Amplitude', fontsize=12)\n", + "ax1.set_title('Two Signals: Shared 10 Hz, Independent Beta (~25 Hz)', fontsize=14)\n", + "ax1.legend(loc='upper right')\n", + "ax1.set_xlim(time_window)\n", + "\n", + "# Bottom panel: Coherence spectrum\n", + "ax2 = axes[1]\n", + "ax2.fill_between(freqs, 0, coh, alpha=0.3, color=COLORS['high_sync'])\n", + "ax2.plot(freqs, coh, color=COLORS['high_sync'], linewidth=2)\n", + "ax2.axvline(10, color=COLORS['signal_4'], linestyle='--', linewidth=2, label='10 Hz (shared)')\n", + "ax2.axvspan(20, 30, color=COLORS['negative'], alpha=0.2, label='Beta band (independent)')\n", + "ax2.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax2.set_ylabel('Coherence', fontsize=12)\n", + "ax2.set_title('Coherence Spectrum: High at 10 Hz, Low in Beta (20-30 Hz)', fontsize=14)\n", + "ax2.set_xlim(0, 50)\n", + "ax2.set_ylim(0, 1)\n", + "ax2.legend(loc='upper right')\n", + "\n", + "# Add annotations - use actual coherence values\n", + "idx_10hz = np.argmin(np.abs(freqs - 10))\n", + "idx_25hz = np.argmin(np.abs(freqs - 25))\n", + "coh_10 = coh[idx_10hz]\n", + "coh_25 = coh[idx_25hz]\n", + "\n", + "ax2.annotate(f'High coherence\\n({coh_10:.2f})', xy=(10, coh_10), xytext=(15, 0.75),\n", + " fontsize=10, ha='left',\n", + " arrowprops=dict(arrowstyle='->', color=COLORS['text']))\n", + "ax2.annotate(f'Low coherence\\n({coh_25:.2f})', xy=(25, coh_25), xytext=(33, 0.35),\n", + " fontsize=10, ha='left',\n", + " arrowprops=dict(arrowstyle='->', color=COLORS['text']))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Coherence reveals FREQUENCY-SPECIFIC correlation between signals.\")" + ] + }, + { + "cell_type": "markdown", + "id": "ecd878c9", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 2: The Mathematics of Coherence\n", + "\n", + "### Building Blocks\n", + "\n", + "Coherence is built from three components:\n", + "\n", + "**1. Cross-Spectral Density (CSD)**\n", + "\n", + "$$S_{xy}(f) = \\mathbb{E}[X(f) \\cdot Y^*(f)]$$\n", + "\n", + "The CSD measures how much X and Y co-vary at each frequency. It's complex-valued:\n", + "- **Magnitude**: strength of relationship\n", + "- **Phase**: timing relationship (lead/lag)\n", + "\n", + "**2. Power Spectral Density (PSD)**\n", + "\n", + "$$S_{xx}(f) = |X(f)|^2 \\quad \\text{and} \\quad S_{yy}(f) = |Y(f)|^2$$\n", + "\n", + "The power of each signal at each frequency.\n", + "\n", + "**3. Coherence**\n", + "\n", + "$$C_{xy}(f) = \\frac{|S_{xy}(f)|^2}{S_{xx}(f) \\cdot S_{yy}(f)}$$\n", + "\n", + "### Key Properties\n", + "\n", + "| Property | Value | Meaning |\n", + "|----------|-------|--------|\n", + "| Range | 0 to 1 | Normalized measure |\n", + "| C = 1 | Perfect | Complete linear relationship at frequency f |\n", + "| C = 0 | None | No linear relationship at frequency f |\n", + "| Symmetric | C_xy = C_yx | No directionality information |\n", + "| Interpretation | R² | Fraction of power at f **shared** between X and Y |\n", + "\n", + "### Intuition\n", + "\n", + "Think of coherence as the **squared correlation coefficient at each frequency**:\n", + "- If C(10 Hz) = 0.64, then 64% of the 10 Hz activity is **common** to both X and Y\n", + "- The remaining 36% is independent in each signal\n", + "- Note: Coherence is **symmetric** — it cannot tell us if X drives Y or Y drives X" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8179bba1", + "metadata": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 2: Coherence Formula Components\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(14, 8))\n", + "\n", + "# Generate example signals\n", + "np.random.seed(123)\n", + "fs = 500\n", + "t = np.arange(2000) / fs\n", + "freq_target = 12 # Hz\n", + "\n", + "# Shared + independent components\n", + "shared = np.sin(2 * np.pi * freq_target * t)\n", + "x = shared + 0.4 * np.random.randn(len(t))\n", + "y = shared + 0.4 * np.random.randn(len(t))\n", + "\n", + "# Compute spectra\n", + "freqs_psd, psd_x = signal.welch(x, fs, nperseg=256)\n", + "_, psd_y = signal.welch(y, fs, nperseg=256)\n", + "freqs_csd, csd_xy = signal.csd(x, y, fs, nperseg=256)\n", + "freqs_coh, coh_xy = compute_coherence(x, y, fs, nperseg=256)\n", + "\n", + "# Plot 1: Signal X PSD\n", + "ax = axes[0, 0]\n", + "ax.semilogy(freqs_psd, psd_x, color=COLORS['signal_1'], linewidth=2)\n", + "ax.set_title(r'$S_{xx}(f)$ — Power of X', fontsize=12)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Power')\n", + "ax.set_xlim(0, 50)\n", + "ax.axvline(freq_target, color=COLORS['signal_4'], linestyle='--', alpha=0.7)\n", + "\n", + "# Plot 2: Signal Y PSD\n", + "ax = axes[0, 1]\n", + "ax.semilogy(freqs_psd, psd_y, color=COLORS['signal_2'], linewidth=2)\n", + "ax.set_title(r'$S_{yy}(f)$ — Power of Y', fontsize=12)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Power')\n", + "ax.set_xlim(0, 50)\n", + "ax.axvline(freq_target, color=COLORS['signal_4'], linestyle='--', alpha=0.7)\n", + "\n", + "# Plot 3: Cross-spectrum magnitude\n", + "ax = axes[0, 2]\n", + "ax.semilogy(freqs_csd, np.abs(csd_xy), color=COLORS['high_sync'], linewidth=2)\n", + "ax.set_title(r'$|S_{xy}(f)|$ — Cross-spectrum', fontsize=12)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Magnitude')\n", + "ax.set_xlim(0, 50)\n", + "ax.axvline(freq_target, color=COLORS['signal_4'], linestyle='--', alpha=0.7)\n", + "\n", + "# Plot 4: Cross-spectrum phase\n", + "ax = axes[1, 0]\n", + "ax.plot(freqs_csd, np.angle(csd_xy), color=COLORS['high_sync'], linewidth=1.5)\n", + "ax.set_title(r'$\\angle S_{xy}(f)$ — Phase difference', fontsize=12)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Phase (rad)')\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(-np.pi, np.pi)\n", + "ax.axhline(0, color='gray', linestyle='-', alpha=0.5)\n", + "ax.axvline(freq_target, color=COLORS['signal_4'], linestyle='--', alpha=0.7)\n", + "\n", + "# Plot 5: Formula visualization\n", + "ax = axes[1, 1]\n", + "ax.text(0.5, 0.7, r'$C_{xy}(f) = \\frac{|S_{xy}(f)|^2}{S_{xx}(f) \\cdot S_{yy}(f)}$',\n", + " fontsize=20, ha='center', va='center', transform=ax.transAxes)\n", + "ax.text(0.5, 0.35, 'Normalized co-variation\\n(0 = no relationship, 1 = perfect)',\n", + " fontsize=12, ha='center', va='center', transform=ax.transAxes, color=COLORS['text'])\n", + "ax.axis('off')\n", + "ax.set_title('Coherence Formula', fontsize=12)\n", + "\n", + "# Plot 6: Coherence result\n", + "ax = axes[1, 2]\n", + "ax.fill_between(freqs_coh, 0, coh_xy, alpha=0.3, color=COLORS['high_sync'])\n", + "ax.plot(freqs_coh, coh_xy, color=COLORS['high_sync'], linewidth=2)\n", + "ax.set_title(r'$C_{xy}(f)$ — Coherence', fontsize=12)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Coherence')\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(0, 1)\n", + "ax.axvline(freq_target, color=COLORS['signal_4'], linestyle='--', alpha=0.7)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "4fc01a8e", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 3: Estimating Coherence with Welch's Method\n", + "\n", + "### The Problem with Raw Periodograms\n", + "\n", + "If you compute coherence from a single FFT, you'll always get **coherence = 1** at every frequency! Why?\n", + "\n", + "Because with a single realization, there's no way to distinguish \"true relationship\" from \"chance alignment.\"\n", + "\n", + "### The Solution: Averaging\n", + "\n", + "**Welch's method** divides the signal into overlapping segments, computes spectra for each segment, and averages:\n", + "\n", + "1. Divide signals into K overlapping segments\n", + "2. Window each segment (Hanning, Hamming, etc.)\n", + "3. Compute FFT of each segment\n", + "4. **Average** cross-spectra and power spectra across segments\n", + "5. Compute coherence from the **averaged** spectra\n", + "\n", + "### Why Averaging Works\n", + "\n", + "- **Noise** fluctuates randomly → averages toward zero\n", + "- **True relationship** is consistent → survives averaging\n", + "\n", + "### The Trade-off\n", + "\n", + "| More segments | Fewer segments |\n", + "|--------------|----------------|\n", + "| Better coherence estimate | Worse coherence estimate |\n", + "| Worse frequency resolution | Better frequency resolution |\n", + "| Need longer data | Works with short data |\n", + "\n", + "> **Rule of thumb**: You need at least 5-10 segments for a reliable coherence estimate." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "21355c94", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/tw/x1b5ldls1_s1t0h65sy4nsym0000gp/T/ipykernel_42257/2595963676.py:71: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n", + " plt.tight_layout()\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "More segments = better estimate but worse frequency resolution.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 3: Welch's Method for Coherence\n", + "# =============================================================================\n", + "\n", + "fig = plt.figure(figsize=(14, 8))\n", + "\n", + "# Generate signals\n", + "np.random.seed(42)\n", + "fs = 500\n", + "duration = 4\n", + "n_samples = int(fs * duration)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Correlated signals at 10 Hz\n", + "shared = np.sin(2 * np.pi * 10 * t)\n", + "x = shared + 0.5 * np.random.randn(n_samples)\n", + "y = shared + 0.5 * np.random.randn(n_samples)\n", + "\n", + "nperseg = 512\n", + "noverlap = nperseg // 2\n", + "n_segments = (n_samples - noverlap) // (nperseg - noverlap)\n", + "\n", + "# Create layout\n", + "gs = fig.add_gridspec(3, 4, height_ratios=[1, 1, 1.2], hspace=0.4, wspace=0.3)\n", + "\n", + "# Row 1: Show segments for signal X\n", + "ax_x = fig.add_subplot(gs[0, :])\n", + "ax_x.plot(t, x, color=COLORS['signal_1'], linewidth=0.8, alpha=0.7)\n", + "colors_segments = plt.cm.viridis(np.linspace(0.2, 0.8, min(n_segments, 6)))\n", + "for i in range(min(n_segments, 6)):\n", + " start = i * (nperseg - noverlap)\n", + " end = start + nperseg\n", + " if end <= n_samples:\n", + " ax_x.axvspan(t[start], t[end-1], alpha=0.15, color=colors_segments[i])\n", + " ax_x.axvline(t[start], color=colors_segments[i], linestyle='--', alpha=0.5)\n", + "ax_x.set_title(f'Signal X divided into overlapping segments (nperseg={nperseg}, 50% overlap)', fontsize=12)\n", + "ax_x.set_xlabel('Time (s)')\n", + "ax_x.set_ylabel('X')\n", + "\n", + "# Row 2: Show segments for signal Y\n", + "ax_y = fig.add_subplot(gs[1, :])\n", + "ax_y.plot(t, y, color=COLORS['signal_2'], linewidth=0.8, alpha=0.7)\n", + "for i in range(min(n_segments, 6)):\n", + " start = i * (nperseg - noverlap)\n", + " end = start + nperseg\n", + " if end <= n_samples:\n", + " ax_y.axvspan(t[start], t[end-1], alpha=0.15, color=colors_segments[i])\n", + " ax_y.axvline(t[start], color=colors_segments[i], linestyle='--', alpha=0.5)\n", + "ax_y.set_title(f'Signal Y — same segmentation', fontsize=12)\n", + "ax_y.set_xlabel('Time (s)')\n", + "ax_y.set_ylabel('Y')\n", + "\n", + "# Row 3: Effect of number of segments\n", + "nperseg_values = [2000, 1000, 512, 256]\n", + "for idx, nps in enumerate(nperseg_values):\n", + " ax = fig.add_subplot(gs[2, idx])\n", + " freqs, coh = compute_coherence(x, y, fs, nperseg=nps)\n", + " n_segs = (n_samples - nps//2) // (nps - nps//2)\n", + " \n", + " ax.fill_between(freqs, 0, coh, alpha=0.3, color=COLORS['high_sync'])\n", + " ax.plot(freqs, coh, color=COLORS['high_sync'], linewidth=1.5)\n", + " ax.axvline(10, color=COLORS['signal_4'], linestyle='--', alpha=0.7)\n", + " ax.set_xlim(0, 30)\n", + " ax.set_ylim(0, 1)\n", + " ax.set_title(f'nperseg={nps}\\n(~{n_segs} segments)', fontsize=10)\n", + " ax.set_xlabel('Frequency (Hz)')\n", + " if idx == 0:\n", + " ax.set_ylabel('Coherence')\n", + "\n", + "plt.suptitle('Welch\\'s Method: More segments → smoother coherence estimate', fontsize=14, y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"More segments = better estimate but worse frequency resolution.\")" + ] + }, + { + "cell_type": "markdown", + "id": "3641ec51", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 4: Coherence of Simple Signals\n", + "\n", + "Let's build intuition by examining coherence in controlled scenarios. Understanding these simple cases will help you interpret coherence in real EEG data.\n", + "\n", + "### Key Questions\n", + "\n", + "1. What happens when signals are identical?\n", + "2. How does noise affect coherence?\n", + "3. Does phase shift change coherence?\n", + "4. What about amplitude scaling?\n", + "5. What do uncorrelated signals look like?\n", + "6. Can we have frequency-specific coherence?" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "624043b4", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Key insight: Compare #1, #3, #4 — coherence is INVARIANT to phase shifts and amplitude scaling!\n", + "But degrading SNR (#2) or removing shared components (#5) destroys coherence.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 4: Coherence in Different Scenarios (3x2 grid)\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(3, 2, figsize=(12, 10))\n", + "\n", + "fs = 500\n", + "n_samples = 2000\n", + "t = np.arange(n_samples) / fs\n", + "freq = 10 # Hz\n", + "\n", + "# Helper function for subplot\n", + "def plot_scenario(ax, x, y, title, fs=500):\n", + " freqs, coh = compute_coherence(x, y, fs, nperseg=256)\n", + " ax.fill_between(freqs, 0, coh, alpha=0.3, color=COLORS['high_sync'])\n", + " ax.plot(freqs, coh, color=COLORS['high_sync'], linewidth=2)\n", + " ax.axvline(freq, color=COLORS['signal_4'], linestyle='--', alpha=0.7)\n", + " ax.set_xlim(0, 30)\n", + " ax.set_ylim(0, 1.05)\n", + " ax.set_title(title, fontsize=11)\n", + " ax.set_xlabel('Frequency (Hz)')\n", + " ax.set_ylabel('Coherence')\n", + " # Add coherence value at target frequency\n", + " idx = np.argmin(np.abs(freqs - freq))\n", + " ax.text(0.95, 0.95, f'C({freq}Hz)={coh[idx]:.2f}', transform=ax.transAxes,\n", + " ha='right', va='top', fontsize=10, bbox=dict(boxstyle='round', facecolor='white', alpha=0.8))\n", + "\n", + "# ============================================================================\n", + "# Fixed seed for reproducibility across scenarios 1, 3, 4\n", + "# ============================================================================\n", + "np.random.seed(123)\n", + "noise_x = 0.3 * np.random.randn(n_samples)\n", + "noise_y = 0.3 * np.random.randn(n_samples)\n", + "\n", + "base_signal = np.sin(2 * np.pi * freq * t)\n", + "\n", + "# Scenario 1: Reference - shared signal + noise\n", + "x1 = base_signal + noise_x\n", + "y1 = base_signal + noise_y\n", + "plot_scenario(axes[0, 0], x1, y1, '1. Reference: shared 10Hz + noise')\n", + "\n", + "# Scenario 2: Much weaker signal in Y → coherence decreases\n", + "# FIX: To actually decrease coherence, we need to degrade the SNR substantially\n", + "np.random.seed(456)\n", + "x2 = base_signal + noise_x\n", + "y2 = 0.2 * base_signal + 1.5 * np.random.randn(n_samples) # Weak signal + strong noise\n", + "plot_scenario(axes[0, 1], x2, y2, '2. Degraded SNR on Y: C decreases')\n", + "\n", + "# Scenario 3: Phase-shifted - same noise as scenario 1\n", + "# Coherence is phase-invariant: only the phase relationship changes, not coherence\n", + "x3 = base_signal + noise_x\n", + "y3 = np.sin(2 * np.pi * freq * t + np.pi/2) + noise_y\n", + "plot_scenario(axes[1, 0], x3, y3, '3. Phase shift (90°): same C as #1')\n", + "\n", + "# Scenario 4: Amplitude scaled - same noise as scenario 1\n", + "# FIX: Scale EVERYTHING (signal + noise) to preserve SNR\n", + "# Coherence is scale-invariant: C(x, k*y) = C(x, y) for any k ≠ 0\n", + "x4 = base_signal + noise_x\n", + "y4 = 3.0 * (base_signal + noise_y) # Global gain, SNR preserved\n", + "plot_scenario(axes[1, 1], x4, y4, '4. Amplitude 3x: same C as #1')\n", + "\n", + "# Scenario 5: Uncorrelated - completely independent signals\n", + "np.random.seed(789)\n", + "x5 = base_signal + 0.3 * np.random.randn(n_samples)\n", + "y5 = np.random.randn(n_samples) # No shared component\n", + "plot_scenario(axes[2, 0], x5, y5, '5. Independent: C ≈ 0 everywhere')\n", + "\n", + "# Scenario 6: Frequency-specific coupling\n", + "np.random.seed(101)\n", + "shared_10hz = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Independent narrowband components around 20 Hz\n", + "from scipy.signal import butter, filtfilt\n", + "\n", + "def bandpass(data, low, high, fs):\n", + " b, a = butter(4, [low/(fs/2), high/(fs/2)], btype='band')\n", + " return filtfilt(b, a, data)\n", + "\n", + "indep_20hz_x = bandpass(np.random.randn(n_samples), 18, 22, fs)\n", + "indep_20hz_y = bandpass(np.random.randn(n_samples), 18, 22, fs)\n", + "\n", + "x6 = shared_10hz + indep_20hz_x + 0.2 * np.random.randn(n_samples)\n", + "y6 = shared_10hz + indep_20hz_y + 0.2 * np.random.randn(n_samples)\n", + "\n", + "ax = axes[2, 1]\n", + "freqs, coh = compute_coherence(x6, y6, fs, nperseg=256)\n", + "ax.fill_between(freqs, 0, coh, alpha=0.3, color=COLORS['high_sync'])\n", + "ax.plot(freqs, coh, color=COLORS['high_sync'], linewidth=2)\n", + "ax.axvline(10, color=COLORS['signal_4'], linestyle='--', alpha=0.7, label='10 Hz (shared)')\n", + "ax.axvline(20, color=COLORS['negative'], linestyle='--', alpha=0.7, label='20 Hz (independent)')\n", + "ax.set_xlim(0, 30)\n", + "ax.set_ylim(0, 1.05)\n", + "ax.set_title('6. Frequency-specific: high@10Hz, low@20Hz', fontsize=11)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Coherence')\n", + "ax.legend(loc='right', fontsize=8)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Key insight: Compare #1, #3, #4 — coherence is INVARIANT to phase shifts and amplitude scaling!\")\n", + "print(\"But degrading SNR (#2) or removing shared components (#5) destroys coherence.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "8ba8f0a2", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Coherence range: 0.00 to 1.00\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 5: Coherence vs SNR (FIXED)\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "\n", + "fs = 500\n", + "n_samples = 4000\n", + "t = np.arange(n_samples) / fs\n", + "freq = 10\n", + "\n", + "# Wider SNR range to see full degradation\n", + "snr_db_values = np.linspace(-30, 30, 25)\n", + "coherence_at_target = []\n", + "\n", + "base_signal = np.sin(2 * np.pi * freq * t)\n", + "signal_power = 0.5 # Power of sin with amplitude 1\n", + "\n", + "np.random.seed(42)\n", + "\n", + "for snr_db in snr_db_values:\n", + " # SNR = signal_power / noise_power\n", + " # snr_db = 10 * log10(SNR) → SNR = 10^(snr_db/10)\n", + " snr_linear = 10 ** (snr_db / 10) # FIX: /10 for power ratio, not /20\n", + " noise_power = signal_power / snr_linear\n", + " noise_std = np.sqrt(noise_power)\n", + " \n", + " x = base_signal + noise_std * np.random.randn(n_samples)\n", + " y = base_signal + noise_std * np.random.randn(n_samples)\n", + " \n", + " freqs, coh = compute_coherence(x, y, fs, nperseg=256)\n", + " idx = np.argmin(np.abs(freqs - freq))\n", + " coherence_at_target.append(coh[idx])\n", + "\n", + "ax.plot(snr_db_values, coherence_at_target, 'o-', color=COLORS['high_sync'], \n", + " linewidth=2, markersize=8)\n", + "ax.axhline(0.5, color=COLORS['signal_4'], linestyle='--', alpha=0.7, label='C = 0.5')\n", + "ax.set_xlabel('Signal-to-Noise Ratio (dB)', fontsize=12)\n", + "ax.set_ylabel(f'Coherence at {freq} Hz', fontsize=12)\n", + "ax.set_title('Coherence Decreases with Noise', fontsize=14)\n", + "ax.set_ylim(0, 1.05)\n", + "ax.set_xlim(-32, 32)\n", + "ax.legend()\n", + "\n", + "# Annotations repositioned for the new curve\n", + "ax.annotate('High noise\\n(low coherence)', xy=(-20, 0.2), fontsize=10, ha='center')\n", + "ax.annotate('Low noise\\n(high coherence)', xy=(20, 0.95), fontsize=10, ha='center')\n", + "\n", + "# Add theoretical curve for reference\n", + "# For x = s + n1, y = s + n2 with independent noises:\n", + "# C(f) ≈ SNR² / (1 + SNR)² at signal frequency\n", + "snr_theory = 10 ** (snr_db_values / 10)\n", + "coh_theory = snr_theory**2 / (1 + snr_theory)**2\n", + "ax.plot(snr_db_values, coh_theory, '--', color='gray', alpha=0.5, label='Theoretical')\n", + "ax.legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Coherence range: {min(coherence_at_target):.2f} to {max(coherence_at_target):.2f}\")" + ] + }, + { + "cell_type": "markdown", + "id": "f761c595", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 5: Interpreting Coherence Values\n", + "\n", + "### What Does Coherence Really Mean?\n", + "\n", + "| Coherence | Interpretation | R² (variance explained) |\n", + "|-----------|----------------|------------------------|\n", + "| 0.9 - 1.0 | Very strong | 81-100% |\n", + "| 0.7 - 0.9 | Strong | 49-81% |\n", + "| 0.5 - 0.7 | Moderate | 25-49% |\n", + "| 0.3 - 0.5 | Weak | 9-25% |\n", + "| 0.0 - 0.3 | Very weak / None | 0-9% |\n", + "\n", + "### Important Caveats\n", + "\n", + "**High coherence does NOT mean**:\n", + "- Causation (A causes B)\n", + "- Direct connection (could be common input)\n", + "- Neural coupling (could be volume conduction!)\n", + "\n", + "**Low coherence does NOT mean**:\n", + "- No relationship (could be nonlinear)\n", + "- Independence (could be related at other frequencies)\n", + "\n", + "### The Squared Coherence Interpretation\n", + "\n", + "Since coherence is already \"squared\" (magnitude-squared coherence), you can interpret it directly as **fraction of variance explained**:\n", + "\n", + "- C = 0.8 means 80% of Y's power at that frequency can be linearly predicted from X\n", + "- The remaining 20% is independent" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "e8c8aa45", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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33NPhfNnFyf+42gt3fSWSQHZDOfrooztd32isS6R6WveMjIweb0NeB3Hw4MFOJ0fwr6f8G7yrvuzmP23atG5vu/17I/g0iVCI9WvbFdn9SyI6ZHek3bt3q934OpvAobf8j62z3bZGjBihdn+S3RgbGxtDXqMJEyYgPT095PL+Xc+C34vdkdflH//4h5rE4u2331bvWzlIjIEcZLdE2VXOvwuWnCdk17hwyK52soua7OZVVVUFt9sdOE92Iwv3/Sava2fvN4l5kNnM5fk55JBDwlonIiKKL44bE2PcqNPp8Mc//hG33nqrGgPI39xvvvlGxS3J7t0yBnj33Xc77PYuY5POoo5kzCaRSf7Yq0jXVf6VsY5EFbTfNb63Dj300C7P27Fjh5rM6+OPP1YxCbI7f/vxXTiRTrEeJyaSaP8O8N+ejBMl7qA9+X0p40c5BE+WK5EOEq3Q0++xWGtpaVGT+Ml7/A9/+EOH8yUWpP3nUWIhJApOYhFkkmA/iU+QcbxEp0VzHJyZmYlTTz1VfcZnz56Nb3/72+o3h3w2JC6PqC9YuCWKk+LiYvXHRQYwkpUUDn+2aFeZuJL3FHy59n9M2pM/WkKydv1qampU0aezgZ+fZP+019k6yW2J9evXq0Mktxfu+tbX16ss3vaDimiuS6TCXfdw1leyyeQQ7vpKTpv8QOhOZ6+V/zR5PsO5fLSfT7k9GdhIJprkucmPCcnMkoxg2RAheVrtB/qRCufzIwMyuVxw4baz19P/mob7egYPdiX7TQ5CBs+SGfb555/j5ptvVo8z+HWQ93ZPJLdX8nqluCzZXJKNJht25H0gmYjy46Yn/tdTcry6E43PBxERRY7jxuQfN0pBTPI2/ZmbUgyS3FnJLJVxgcwDEKyr8Ur7MVuk6xrJGCNcXa3rtm3bVAOAjK2kwUTy+eW1kuffn+8azviuP8aJkfAXiSWzNxai/TvAf3uPPPJIt/crtxdcuI3Gb5pokA0T0oguv5vD/Y0q7w/JqpXPl2wgKS0tVeNuyWOWAqs8V9EeB8uYXLKeZZ6JX/ziF4HnUPJu5fTOGq+IwsHCLVGcyKBDBiwSLC8h8uHw//GUra+dkQFg8OV6Q64rf/Bli2skOhsk+NdDugFkEoVYkD/K/q2g3Q3C+2Ndosm/vpFOmNZT0db//pEujvanCZmAK5zbjPbzKZ0jMhiXjtQ77rgj5DzprvAXNPuiPz4/kRo7dqwqrkqnrXSi+Pknb5MBak8TaUhngHRYSOeOTKQQ7H//+19Y6+F/zG+88YYa5BIRUWLhuHHgjRulGC/dgG+++SbWrFmD6urqwERm3Y1X2o/ZIl3X4DFGtHQ1/nzwwQdV0U0ep0wYFezqq69WhdtEGSdGQn7D9dRpnEi/A/y3J12r4Uyqm2j86y97NUq3erhk8jEp3Mr7T7q+pdvWf3osxsFSmP3Nb36jDjJ5uExK9thjj6mJ8qRDXLrriXqj+02NRBQzl156qdpK/H//93+BXZi64t+CPGnSJFWgkVkpZZeRrgYRsltLb8luWjJwlFll+2ry5MnqD6H8gfXvwhJtshVfnp+eBn79sS6Rkte/qy3W/t3lZAbTaFu0aFGXp82aNSus2+jN89nd4/XvttXZzMKdrW93t9UV/2Pzf06CyYyvsg5SQA0nyiKa2scwBMdTvP/++z1eX9ZbXo/2RduysjK1e2I4Yvl+IyKivuO4cWCOGyW2oavdqKVQ2dleM+3HbJGuq+zpJ5eX3xNSVO2JjLl6213Z1fhOuicXL17c59uJ5jgxXLJ31vPPP69eu7PPPhuxEO1xWX+M8/ryPumJjM3lfb5x48aIIhqks1Y2hkgHrGyskY5aua3276NYPD+jR49We9XJd42M9V9//fWo3TYNPizcEsXJuHHjVNaVdLaecsopaqtcZ3lDDzzwQCBrR7IqJY9HriNbDYNJNtZ7772nble6MnpLsoCE/KGRAm570qUgfzTDIbvS/OhHP1KDzp/85CedDibXrVunMqt669prr1X/3njjjYHdXPwk8sHfldAf6xKp3NzcQNGwsx8WMoj473//i+eee67D+TL4CLdLoT3pVgiORJBl2TIsW+kvueSSsG6jN89nd4/Xn232xRdfhJwuAy3JimpPMtlkfTu7ra7IIE26UyRrNnhXQvnxcNttt6n3i/wwjoVf/epXna6r3Ld0iogjjjgicLq8DjLIu//++9UugO0Fd8nIcye7IgZ35sh3h7w+4f7YlOdGurDl+0ZiG9qT22n/2hARUf/huDF5x43yt7yrLNy//vWvaGpqUs0Zwd22QopgP//5z9VYwU86c6V7UHbRl6JUb9ZVLn/VVVep8Z88D+2LbXK6rFPw+E1+e8jYIlJdje9k7CPr1NfbieY4MRxSbJZYKin+33777VGNm4jl7wDZVV8KlrL7fmdxGtIQ5M957a2+vE/C/Y0q63nllVd2Glkgv6V37doVcppsFJE4MdkIIjnT0pgknekyZ0u0x8HSiNXZe1o2jsj7RZqviHqLUQlEcSTFMvnjJrsRydZviUyQ3Vfkj4z88fnwww9V8VQu5yeB7PKHWk6TjB75oy5/pCRTR3bPkKJUT7ld3Tn55JNx5513quKe/EiQ4zJYkvWQ4pBs1Zb7lq2e4ZAcIpl86eGHH1YZTUcddZTKFJLCk+yuI3lesnUzOGcoEjJolUHqfffdpzoOZcu3//YlhkLOu+mmm/plXSIlWV8yqJRBuQyipKgou6/5d4mSwZpc5oILLlATT0nQvQw0ZPAh6ykDhN4MjmSyLXmfycBFyC5E+/btU8H9kUw8FenzKe9veZ0kx03uWybBk/eW7K4kB3lvX3/99Wq3Ijldri+v4TnnnIOXX3455L6lqCm7p8ngSq4rr72872W5qwkupLvkiSeeUBs/5HMjAzn54SOfM4kZkEHyT3/6U8SCfwOMPL+ym5cMbuUzJY9VOjfkx5r8sPOT5+zpp59Wr72s15lnnqm+I2RALBNLSHzCq6++qi4rz5kcpPPmvPPOUz88ZZJC+aE3Y8aMDpl5nZGuEdm9UjYiyYQt8lrJ5Bby/pQfgvK5l3WMxuR9RETUOxw3Jue4UQqtcrvyd1XGH3J56RqUQpncvozt/va3v3W43vTp01WxSMY7kukq4z4p4snfedljL7j4FOm6ygZluX9ZN/lX/v7LWED21JFmELlf/x58MiaQbl65jEyMJo0kcvty6InEIchvExn3yWRRMpbwP+7TTjut2/zWYP0xTgwmv3n8jTNOp1MVvWViO3kupbNU4hruvvtuxFI0fwfIeFduTybMkrGh/L6TjQVSUJTfkfLbcv78+eq1762+vE+kMNpd84TEisnGBnnv/Otf/1IFdPlMyGRlsrFFxqcyPpZCfvuIMXnNH330Udx1112B47EYB8tnTcbi8vzKZ1eK+jLWlxgPeXzyHUDUaxoRxd3XX3+tXXbZZdq4ceO0lJQUzWKxaKNGjdIuvPBC7YMPPuhw+crKSu2GG27QRo4cqZlMJi0/P18777zztLVr13a47CWXXCKb6bWdO3d2OO/uu+9W533yyScdzpP7PeOMM7SCggJ1H8XFxdq8efO0X//619qePXsCl/vHP/6hbkP+7Yrb7dYef/xxbcGCBVpmZqZ6fCNGjNBOPvlk7W9/+5vW1NTU5/V96aWXtGOPPVbLysoKPH8XXXSRtm7dul6vS1fk/mU9rrrqqpDTjz76aHV6Z7p6XP/85z+1adOmqfWQ8+U1DVZTU6Pdcccd2tSpU9V7Iz09XRs/frx6b7z88sshl5Xrtr9+Z+tns9m0W2+9VRs+fLhmNpu1iRMnag8//LDm9XpDLh/t11b88Y9/VOsv7ym5bVknv1WrVmknnXSSlpOTo2VkZKjzPvzwwy7XY/Pmzdqpp56qZWdnazqdLuS90d26f/7559opp5yiriePf8KECdqdd97Z6Wvffh0jeb7b3+ftt9+uPkNDhgxRj19ey+nTp2s/+clPtAMHDnR6vZUrV2rf+c53tKKiInWdkpISte5vvvlm4DLyuj322GPalClTNKvVqj6rl19+uVZRUdHpe7K752bfvn3ajTfeqF4jeS3lNZ08ebJ2xRVXaB999FFYj5WIiGKL48bkGjeuWLFCu+eee9TfZP/YS8Z0kyZN0n70ox9pW7Zs6XL8sXfvXu3888/XcnNz1d94GUe8//77nd5PpOtqt9u1++67T5s5c2ZgjFlaWqr9+Mc/1mprawOXa2xs1K688ko1BjEYDGrd5LkNHhP7j3dGLiPrJGM7GXvJ2G358uXdvj6dieY4sSvyPpLLBR/kuZHHLu8XGS9u27aty8fZ2XPR3ePs6TmI5u8AsWnTJjVGlMvJ+1CeS/kdIr8rly1b1uF5kM9XZzobH3f3PumOrEv757z9Idhzzz2nnXDCCWrdZWw8dOhQ7ZhjjtHuv/9+9Ru5M/Kcye0MGzZM83g8Xa5LJOPg9s+3fGZ++ctfakcddZR6DuT5lTG/fP7eeeedHp8Hou7o5H+9L/sSEVGyOOaYY9QWdX7tExERESUu6fSTzr/OcvmJiGhwYcYtERERERERERERUYJh4ZaIiIiIiIiIiIgowbBwS0RERERERERERJRgEqpwK7M+nnHGGWp2QMn18c+Y3R3J/ZEZFmUmwHHjxqkZB4mIqPPvS+bbEhFFF8evRBRtMl5jvi0RESVc4ba5uRkzZszAI488Etbld+7cidNOOw3HHnssVq1ahZtuuglXXHEF3nvvvZivKxERERERx69EREREFCs6LUHbr6Tj9pVXXsFZZ53V5WVuu+02vPXWW1i3bl3gtAsuuAB1dXV49913+2lNiYiIiIg4fiUiIiKi6DIiiS1duhQnnHBCyGkLFy5UnbddcTgc6uDn9XpRU1ODvLw8VSwmIiIiosQg/QWNjY0qRkuvT6gdxXqN41ciIiKigUuL8vg1qQu35eXlKCoqCjlNjjc0NMBmsyElJaXDde69917cc889/biWRERERNQXe/fuxbBhwwbEk8jxKxEREdHAtzdK49ekLtz2xs9+9jPccsstgeP19fUYMWIEDseNMOoscV03IiIiImrj1hz4En9GRkbGoH5auhq/rnj9OmSk+cavB3fmYMMXo2BvsnZ5O3oDkFGYisziVGQWpvn+lUNRKqwZ5n55LAOd7M1XVVWF/Pz8hOgSd7a40VTVgsYqO5qqbGiqbD2o4y3weiK7vRFTyjBp7Dq4lx5EPGiyh6TsJKn+9R+Cjgud/3Jte1N6NA0bDNlqeYqnDob2aYHtwwO1dicGHw+c3P64arPq+nbaXc6/doZJ2TBOzWtbV7ceB3floGxLPir3ZkPzhvc+Mhh1SMm2IDXbipQcM9JyrEjJNiM1x4pUOT3HgpQsCwzG+L8vE/1zQ2342iQuvjaJS+JbR48eHbXxa1IXbouLi3HwYOigQY5nZmZ22m0rLBaLOrRngAUGjYVbIiIiokThr3MMpDiraI5fc4omIkUrU8sZU1swpnQz9m8dj81Li2Cr77wi56wCqqpaUIWW0PtINyFrSBqyS9KQpQ7pyCqRwm5aQhZ6EvmHtNPpRHZ2dr8UoLxuL5qq7WisbEFjhQ2NFS1oqGhBU4VN/etocnV5XYs+tcupqqUAmFGYgszCVGQUpKiCf0ZuBfQtK+Fa5obXYlKXyzzhbJiKhwN6PXTyePWGwL9tp8m/hpB/Qy6v0wMGA6DTQ2fQt/7rO952e62X7yWPx4Pazz9XkwmWLlwIk8m3/vHiaazD/ruvUgVcfa0B5uwiaK66wPnZM5owcUYT3C4zqstKsH9TAcq2WHsstHvqgcZ6Jxp3OwE0dXoZa6YZablWVciVf9VBiru5vuNS6DWnGvv1e7e/PzcUPr42iYuvTeKL1vdoUhdu582bh7fffjvktA8++ECdTkREREQ0kMevWeO/hxTvXjTufhteVyP0eg+GT9yEUTOqYC06BS2NRagra0b9gWbUl7UeypvhdXecm1gKfBVb6tQhmPzmkKKdr5ibpoq78q8UeKW4N5CK6omak+dodKnCbENrYdZ38C1L0VbzRj7XtNFiUIXZjKDCrCrSymkFqer8YG5bJWrWvwWv5oX3QLM6TWcyIfPEc6A3J37zixQDDzvsMFRWViZEYdCQkQ3LuKlwbF0Lb10DsvLPgS7HBHv1Ktir10Jz+zasGE1OFI3YrQ7607NhzJgKNybA1pCB5hq7OrTUyr+O1n/tqsu6O/YGpzpU7+r6MvL6S2F3+IwCHHL+BJisSV02ICJKagn1DdzU1IRt27YFju/cuROrVq1Cbm6u2h1MdhPbv38/nn76aXX+1Vdfjb/+9a+49dZbcdlll+Hjjz/G888/j7feeiuOj4KIiIiIBot4jl+laGrNmw5z1gQ07/8ILeVLVZ+yx16F5t3PqPPGHn4KDOa2fDWvV1O7yvsKuU2oO9CMhvIW1JU1oaWmbQLf4D2/Gw62qMPeVZUh55lSDK2duVLMleJueqBjt33hj8Inr9HX/92M/euqVHHWZYswz0DogPQ8K9ILpCDbWqD1F2mLUpGSaQ676O51t6Bu8zPQPHZo8h6x+9bHMn5aUhRtA58Vq1V1rifKxoa0WfNU4Va0rFqKnDO/D3PGCGSMOA3Ohm2wV62CvXYj4PV1TXuddXBWfwHgC6SlliBvykz1GTeYM0Nu12V3o6XW4Svs1trRov51+P5tPc1W5+y24O92eNT3wvry3bA3OnHMtTMS5nkjIhpsEqpw+8033+DYY48NHPdneV1yySX45z//ibKyMuzZsydwvmRGyCD35ptvxp///GcV+vv3v/8dCxcujPi+5Q8R/xgRERERJQ6dJmGVSGjxHL/at28A5syH3mhFxsjTYM2fhcZdb8DV5Ls/e/UaOOo2I33YCUgpOgw6nQF6vU5l2sph+MyCDgUff2duXXCXblmzKuS0JwXFqh316tBeer4V004bjSkLR0X8uAa7nV+VY+1bO3u8nOzO7ivItnXO+rpmU9XzbzD1vXiueT2o2/pfeBzVvhOCavepUw7p8+0PZinTDwNefBKSfyCF2+wzvuf7Tao3wJI9UR0yPA44ajbAXr0aznrZQOT7QnS3lKFpjxzehTlzDKz5M2DJmaK+C6Q7NqtEDmndbhyw1fuLuW3dur4OXl/RVzYaeD0ati8pQ9HEHJSeOLIfnx0iIvLTabL/zSDW0NCArKwsHKG7jZOTERERESXY5GRfaH9Qk3FJBiyFjl83/+oGjP/FgyHZn5rmhb1yBRr3vgvNbQucbkwtQcaoM1VHX6Tk54IUc3wF3aa2gu6BZjRW2bosrkuD3nf/eqzKzBxMmYMVFRUoLCzs9S757/3pG+xd6auQqmJssRRl2wq0/uKs5BLHkrzujbteg63ia3Vcb0yD+6NquMr2quNDfvkYjFm5SJbXZfv27WrCmFmzZsFoTIz+pYrHfwf7plVquejG38AyakKXl/W4muCoXgNb1Sq4m/d3vIDOCEvOJFjzZsCSPQE6fd8e486vyvDRn33rpjfqcMbdh6NgrG+Ct0T83FBsDLTXxp8LOxDIY6murkZeXt6AeG2Sjdls7vJ5l781OTk5URu/JsZfLCIiIiIiioirbA+av/4M6Ye1dfzKRE8phYfAkjMZTXvfh63ym0CHXu2Gx5FScAjShy+E3pQa9v1IF6B/EqMhU/JCznM7PSpGIbg7t2JrnfpX2kO2Ly3DtFNH85UNk+yWvm9NlVqWyaK+8+DR0Onjs4u67eDSQNFWioLpRaejsuw36qh52JikKdr6i9D79u1Tk5MlUt9S6qz5gcJty8ol3RZuDaZ0pBbPVwe3rUp14UqcgsdR47uA5oajZp066AwpsOZNhTVvJkwZI3wTwEVo9GElmHpKHda9s0vlYksR96zfzYc13dz7B0wUR1KwlTgjKXgOBPJdJo+lsbGRe4/HgRRtZS8qKeDGGgu3RERERERJqv7t/yF15jzoLaFdrXpTGjLHnA1rwRzVNeluKVenSyHXXrsBGcMXwlowu1cFnWBGswG5wzPUwa9ufxNe/OkitSy7WbNwG76dy8qheXyFxbHzhsStaOuo26ImvfOT95J7s+89JKxTZsdlvQaa1GmHouZ5I+Bxo2X1l8j+1sUhHfRdMabkI33Y8Ugbehzczftgq1qtolE0t2/iOM1jU0V3OejN2SoLNyV/JoypRRGt36Hfnag2xFRsq0NTlQ2f/W0NTvrxnLi9L4n6UuSU6CKDwYDhw4cPiA5VeUxut1vtQcDYz/4lBfMDBw6o95TMZxDr55+FWyIiIiKiJOVpqEXDJ68j++TvdHq+RCPkTr0GtoNfoWnvh9C8DjVjfcPOV2CrXI6M0d+CKbU4quuUPTQdeaMyUb2rQeXfSvdtd3mb1Gb74gOB5bELSuLy1LhbKlC/7X+BPNW0Iceool/Fy/cGLsN82+jQp6QhZdIM2NYvh6e+Bo6dm2EdOzns60uxwJQ+XB0yRpzSOqnZarVxJnhSs5ayz9XBmFqsunDVpGaWrB5v32DU47gbZ+KVny2Go8mlIjzWvLkDM84c26fHTdTfpMDZ0tKCIUOGIDU1/D1OEhkLt/FVUFCgirfy3jKZYhtdxMJtK8nt0XOmTCIiIqKEoZfJyXy1B+r0CfJNPtX48etIP/wEGLM733VdJiWT3astuVPRuOcdlZMpZBKzmrWPILV4HtKGHQ+9wRK153ncgiGqcCu2LT6AOeeN52vYg6ZqG8o31arl7KFpyBvZ/7nOXlcz6rY8A83jUMdlwit5b3gddti3rlOnGbJyYBrG+ItoxiVI4Va0rFoSUeE2WIdJzWo3qiKub1Iz367h0nnf1PIumva+B1PmaKRIHm6uTGqW0uXtpuel4NhrZ+DdP36javnfPLcFBeOyMaQ0NDaFKJF5PL4JNvtjt3YaHMyt7yV5b8W6cJv8/eFERERERINQ2uG+bFvN5UT9O9Ih2T2DORPZ485H9qQfwGDNbz3Vi5byxahe/SDs1Wujlv85Zn4JoGvrIk2kXNFEtWNJWWB57Pwh/b7rq+Z1o27rs4HMVJnQLmvseSpOw75lLeD2bUVJKZ3D3XKjKGXKIdC1/uiXuAQtCvmbshFGuqRzJl2Cgtm3IWPk6TClDQ+6hAZXww7VeV+54veo2/Is7DXr1XugM8NmFGDW2eN819SAT/6yCi219j6vJ1F/Y6QAJeN7iYVbIiIiIqIklHHsmdCl+CIIZJIy594dYV3PkjUOedOuR9qwE9SkU8LralS7x9dt+qea+Kiv0nKsgY48mbyscnt9n29zoNu+JCgmQQrf/UgK6w27XoercZc6rjelI3vCRdAZfB1F/o5QkTJlTr+u20Cnt6bAOnmWWvY21sOxfUN0b19NajYPuVOvRt6Mm1UursEa1C0rk5rVrkf91mdRueJeNOx4Bc6GndC00ALyrHPGYeg03/Vs9U58/JdV8HoGxiRPRESJjIVbIiIiIqIkZEjLQNZJ5/qOaBpqX38m7M5Wnd6I9KHHIn/6jTBnTwycLhmZ1WsfRtM+ycPtW05FcEZrcHYrdVS7rxHVuxvVcsG4LGQW9W8msHRd2ytbi7M6I7InfD+QgSodoLYNvvN0JjMs46f167oNBqkz5weWW1Yuidn9GK2+Sc3ypt+M3Ck/QkrRPOiNbe81zWNXExjWbvw7qlbdh+b9nwYKuHq9DsdcOwOpub5IFYn1+Ob5rTFbVyIi8mHhloiIiIgoSWUccTKM+b6Z4h3b1od0RobDYM1VnZVZ47+nZp9XNA+a93+C6jV/hqNuc6/XbfTcYhhMvp8b25eWsTuvG9vbxST0J0ftJjTteTdwPGvsuWqyKz/nvh2qE1RYxk+FPgkzImUG+UMOOQRTpkxJyNnkU0pnQ2f2FURb1nwFzdN5ZEG0+CY1G4bMUacjf/ZtyJ54iZq0TKdve229zno07fsAzrotbeuZacHxN8yCzuDbRXjNGzuwe/nBmK4r0WAln9PuDr/85S/jum6vvvpqWJf95JNPcOqppyIvL09NDFdaWoof//jH2L9/f8zWz26349prr1X3mZ6ejnPPPRcHD3b/XSXnX3rppYEJ7E4++WRs3ZoYG6c4OVkrnZ55J0RERESJRMdY1J6fI6MR2Wd8H1X/uF8dr3v9GaRMmqlOD/t51ulgzS1VEQpN+z9BS/kX0mYJj6MWdZufhiWnFBkjT4PB0lrYDZM51YThswqwa9lB2BucOLCuWmVlUijpkvbHJEhk3pjD+y8mwdVSjvptz6nMUyG70VvzpodcJnhjQOqUQ5CM5D2elpaG5ubmhMy41FusKoJCum29zY1qIjj5HPcHmbzQkj1BHTSPE/bajbBVLAvEZsiEZpacSYHLF03IwWEXTsSXz2xSxz/72xqc/bsFyChM7Zf1JRosysraNug999xzuOuuu7B5c9vGVPlOi4TT6ez3ydkef/xxXHPNNbjkkkvw0ksvYdSoUdizZw+efvpp3H///XjggQdicr8333wz3nrrLbzwwgvIysrCddddh3POOQeLFy/u8u/wWWedpSYZe+2115CZmanW7YQTTsCGDRsifq6jLfE2NxIRERERUdhSps2FZYxvJnp3ZRmalrzfq2dP8kwzRixE3tTrYcoYHTjdUbsBVWseQvOBz7ucvKgr4xa0dY9uY1xCpyq31aGxwqaWh0zNQ2q2r/My1ryuJtRtfgaa16mOW3KnIW2ob8K7rgq31imz+2XdBqP+ikvo6TsgJX8GMkaeGjjN3TpZXbApJ4/CqLm+Tn9nixsfPrQSbqenX9eVaKArLi4OHKT4KBud/MdlI9T3v/99DBs2DBkZGTj00EPx4YcfhlxfiqS//vWvcfHFF6tC5A9/+EN1+hNPPIHhw4errtKzzz5bFSizs0M3zErxcvbs2bBarRgzZgzuueceuN3uwO0Kua6sk/94e/v27cMNN9ygDk899RSOOeYYddmjjjoKf//731Uhure0bmKh6uvr8eSTT6rHddxxx2HOnDn4xz/+gSVLluDLL7/s9DrSWSvn/e1vf1PP5cSJE9WyzWbDf//7X8QbC7dERERERElMfjhlf+viwPH6916Et6Wp17dnTC1EzuTLkTn222piI8XrQtPe91C97hE1cVG4pMPWnOrr/t39zUG4HSzutLctDjEJUoCv2/IfeJ116rgxbSiyxpwDneyGGMRdWwXXfl/npXnYGBizcpGMvF4vdu3ahQMHDqjlRGSVTnmLVS23rP0aWmuRJB4MlrbJyzz2mk6/c4764TRkFvm6bKt3NeDLZzb26zoSDWZNTU045ZRT8O6772LFihVqt/4zzjhDdbMGu++++zBjxgysXLkSd955p+o4vfrqq3HjjTdi1apVOPHEE/Hb3/425DqLFi1SxV65jHSbStfsP//5z8Dlvv76a/WvFEOlK9h/vD3pdpUu31tvvbXT89sXi9sXUi+66CKMGzdOrf8vfvELrF69Gg6HA0uXLlXds11Zvnw5XC6X6pb1mzRpEkaMGKGu2xm5XSGFaj+J1bFYLPjiiy8Qb4xKICIiIiJKcpYRY5E650i0LF+kirb1H7yMnKBibqSkMJOSPxOW7IlqojLbwa/U7vQeW4WauMiaPxPpI06BwV/Y7YLRbMCoucXY8uk+uOwe7F5RgbHz+i8KINF5PV7sWOor3Eoe8KhDfV2MsSSdSg07X4WryfcDX2/KVJORSbdle7YNKwLLsit/spLHvHv3btWlNm1aYk6uJtnBKVMPQcvyL6DZmmHfvDpuz7neaIXOmALNbYOnk45bfxTK8TfNwut3LYXH5cWmj/aiaGIOxh8xtN/Xl6g3Xv3FYrTU+wp2/Sk1y4KzfrugT7chxczp06erLlij0ag6a1955RW8/vrrKhbATzpOJU/WTwqgUvD9yU9+oo5PmDBBdaK++eabgctId+3tt9+u4g2EdNzK7UsB9u6770ZBQUGg8Crdv90VX6XTt6Qk8r/5kk+7YMECXH755eq7++WXX1ZFaCkEDx06VK1jV8rLy1UkRPvCcFFRkTqvM/7C7s9+9jNVqJZohAcffFB1DQdHVsQLC7dERERERANA9mnfhW3Nl9BcLjQuegfp80+CqaDrH1Xh0BtTkDnqDKQUzEbDztfgbvZNJmKvWqUmtUoffiJSCud26NRsH5cghVuxffEBFm6DHFhfrfJ/heQBSzEs1lrKFsFetdJ3RG9C9sTvw2DO7PSywTEJyVy4Taa4BCnciuaVS+L6nBssuXC798PrbFAd2jp9x9JB3shMLPjBFHz+f2vV8cVPrkf+qEzkDMuIwxoTRUaKti01/V+4jVbHrRRRJcdVipFSwJXd+tt33MqkjMEkI1ciDoLNnTs3pHArna3SmRvcievxeNSEXy0tLSpiIdwNZr3NFJdMX4mH2LZtm9rYJkVkeXwNDQ2qAFtZWYlokmxbKQ5LoTg3NxcGg0F17EqRu7tYhv7Cwm0rvVEPfTcDTiIiIiLqX3pNDyTnb6q4MObkI+OYM9DwwcvyKwt1b/4HBT9o67TpC1PaUOROuRq2im9UZILmsatD4643YKtcjsxR31Kz1HemZHIuUnMt6gfy3tWVsDc6Yc3o3wlSEtX2fo5JsNdsQNPetgzkrLHnqde2M16HXU2SJQxZOTANa8s9pthImTQDOmsqNHsLbOu+geZyQmcyx69wqzbUaGqiQmNK5xMLTjhmGMq31KqNMxKFInm3Z/1mPkxWlhoosUnna7Ler3TMfvDBB/j973+v8lilmHreeeepjtRgvZlUS4rC0tHaWRxBcJRAT6SbV/JmpWM10q5biV+QSIedO3eqyALpHP7BD36guozfeOMN/OUvf1EF5s5IF7A8D3V1dSFdtwcPHuy2Q1iycCU+QtZZri+dxYcddliH4nc88NuUiIiIiGiAyDzuW2j68iN4G+thW/MV7Ns3wjrWN3FZX0lXbWrRXFhzS9G45z3Yq3y70bubD6Bm/WNIKTwU6cNPUl26IdfT6zB23hCsfWsnNI+GnV+VY/IJIzDYyWROu7727bYpOcDDZ3ZeGIsWV/MBNGx/QRXiRNqwE2DNndrl5e1b1gJul1pOKZ3T684pCp/OaELq9LloXvYpNIcNto2r1PF4MFpzA9vNJC6hq8KtmH9pKap21KNmTyPqDzRj0RPrcOx1M/ieoYTW17iCeJKOWOlCPeuss1RUgsTASI53T6TI2z6Ttv1xmZRMOnMlX7a7DlXpwu2OFJIlcuGPf/yjih1or31hNZhMXibxDEcffbR6XC+99BLuuOMO1Wkr63f//fd3W4CV9fvoo49w7rnnqtPk8Ug38rx589AT6fT1Rz188803aj3ijS2mREREREQDhN6aguxTLwgcr3vtaWhRnoxJJizLGnsuciZfCWOKP5NVg61iGapWPwhb5coOuxaOXdDWbbNt8YGork+y2ruyAi6b74ev5ABLHnCseJyNqNvyb2heXzeWNW8G0oYc0+11GJMQv7gEv5ZVS+K0Fr6O2+4mKAsm793jb5wFU4qvL0xymzd+GLrLNhFFz/jx41WmrXSISufphRdeGNbEi9dffz3efvttPPDAA6owKXmu77zzTshGlrvuugtPP/206rpdv349Nm7ciP/973+qcOo3atQoVRiVmIba2tpO72v48OGqYPvnP/9ZRRB89tlnKq9Wis5XXXVVtwXRZ599Ft/73vcwbNgwHHHEEep2duzYgcbGRnU7wROPdVZ4lfu75ZZb8Mknn6jJyqRbV4q2hx9+eEiurTyHwZOpffrpp+p+XnvtNTVxmxTGTzrpJMQbC7dERERERANI2txjYSrxdbQ6925Hy8rFMbkfc+Yo5E69Vk1SptP7dufW3M1o2PGimsDMbasMycLMHurbZfPg5lo0Vtow2G0LiUmI3YRtmteF+i3/gddZr46b0oYjc8zZ3XZDSrHftsGXbyu76lvGJ+aEXgORdcJU6NMyAsVziayIB4M1qHDbxQRlwbJK0nDUVW3vky+f3oiKbXUxWz+iwUwKrzk5Oaoj9cwzz8TChQtVJ2pPZMKvxx57TF1fJjh79913cfPNN4dEIMhtSebt+++/j0MPPVQVO6VwOnLkyMBlpONVohqkODtr1qwu7++aa65Rt7N//36VrSvF0iuuuEJNWuafIK0z0kXcFw8++CBOP/101XF71FFHqYgEybANJl24EovgJ5EOF110kVrHG264QS3/97//RSLQaYmQtBtHEm4sFflj034Ooy78vA4iIiIiii23Zscnzb9TA2sZ5FPo+FW6XLrazdC2eQ0qH/uNWjZk56HkZw9Bb45dnp/HUY/GPW/DUePLRBV6cxbyZ/4kMHHZyle3YfnzW9XyoRdMwIwzxw64l1Q6nioqKlBYWKhy+briaHbhPz/6CF63hpRsC77712Oh10c/ikB+6kk8gr16deA1yZ3yIxjM3U8e5di9DQcf+rlalgmyCq64DclMdun9/PPP1e7EUpSQ3WgTWfVzj6P5y4/Uct7FNyFtVlsXbn/xOOpQtepPatmSPQnZEy8K63pfPrMR697x7bKdnm9Vu6P3lGkd7ueG+t9AeW1kYi3JSx09enREOa2JTL7fZVIyKXL2JcrmyiuvxKZNm7Bo0aKort9AZ+/mPSUxEFJYj9b4lRm3QdlbzG0iIiIiShw6jZmavZUycTqsk2fBvnElPHXVaPzsLWSd2HGikWgxWLKQPf67cNRtQcOOV+B1NagOT6+zUZ0nxs0fEijcSlzCQCzchkuybaVoK8bOK4lJ0VY0H/g0ULSVrujsCRf1WLQVtvXfBJalcJvspOAkXWHV1dVJUXySQq2/cCtxCfEo3OrNmYDOAGgeuMPouPWb+92JqNheh4otdWiqsuOzv63BST+Zo35vE1H83XfffSoGQCYuk5iEf/3rX3j00UfjvVrUjcT/q0VERERERBHLOfMiqVip5YaPXoWnIfa7LVuyJ8Ca1zbhlcdRHVjOKExF4QRfh3Dt3iZU72nAYLV9cexjEuzV69C878PWYzpkjv02TGnh3VdIvm1p8hdupUFHup6kUJEMzTqWsaXQp/s2eMjGF6+9/6NFpFPeYMlRyx5HbYfc6q7ojXocf/1MWDN8Xc17V1Vi9es7YrquRBS+ZcuWqcLttGnTVGzCww8/rOILKHGxcEtERERENACZiochfZ5vAg/NYUfdO8/1y/0aLHmBZbe9rXDr77r12z5IJylrrrXjwAbf85JZlIr8Mb4CXTS5mvejfseLgePpw0+CNbc0rOu6a6vgOrBbLZuHj4Uhy1e8o/6jMxiQOuMwtay5XCEd0HHJufW64HU1hn29tLwUHHPdTNleoCx/YQsOrA/9LiCi+Hj++edV/IXNZlOTj1199dV8KRIcC7dERERERANU1sJvQ2dNUcvNX30M54HYz/RusLYVbj3tCrejDy8O7DK9fUkZNO/gm25jx9IyoPVhj10wJOodoB5nA+o2P6OKbcKaPwupJUeGfX3bhhWB5ZTSnie7SZaczr1796oZ0MOZeT0RpAbFI7SsXBKXdTBYIpugLNiwafmYfe44tSzNuh//ZZXaaEFERJFh4ZaIiIiIaIAyZGQh64SzfUc0DXWvPR32Ls/RKdyGFntSMi0YNj1fLTdX21G+uRaDjRSs/STfNpo0jxN1W/4d6I40pY9E5uizIioOh8QkDIB8WyHv+R07dmDfvn0xf/9Hi2X0pEC3s23TKnhtzfEt3Noj/6zOOmtc4PNub3Dik7+sgteTHIVzIqJEwcnJgrJ49K0z3hIRERFR/Ok1js2iIeOoU9G4+AN4aith37IG9k2rkDJ5FmJFTUbWOqmRx17V4XzpMpXcS39cQsnktuLQQFdf1oyqHfVqOW9UJrKHpkfttjXNi/odL8HdvF8d15uzkT3hQuj04f/k8zrssG9dp5YNWbkwDRsdtfWjyOj0eqTOmIfGz98GPB60rP0a6XOPiU9UQru86nBJd/0x18zAKz9fjOYaO8o31eKb57dg7ncnRXlNiYgGLo6GiYiIiIgGMJ3JjOwzvhc4Xitdtx5P7O5PZwhMaiSz0bfvcBw5pxBGi0Et7/yqHB734OnA277kQEgBO5qa938CR42v6KrTm5E98SLoTZEVhqWwD7crEJOQDBN5DWTxjkswhnTcRhaV4GfNNOO4G2ZCZ/C9l9a8sRO7vzkYtXUkIhroWLglIiIiIhrgUmfOg3nkeLXsPrgfTV9+1I+TGjWEnGeyGlXxVjiaXdjX2n070EkBOxCToItuTIK9eg2a93/cekyHrHHnw5RaHPHthMYkHBK19aPekc+sIac1amDLWniaw58gLBr8G2CEx9H7WJOiCTk47MK2LtvPHluDhoMtfV4/IqLBgIVbIiIiIqIBTjonc866JHC8/t3n4bXFrnBitPqKTV116o0L6jbdtritC3Ugq97ZoKIShMRDpOVao3K7rqa9qN/+UuB4+oiTYcmJfFd0zesNTEwmXdqW8VOjsn7Ut8+tbHRRvB7Y1nzVr0+nzmCG3pTR6USDkZpy8kiMnuvbmOBsceOjP6+E2xm7zn8iooGChVsiIiIiokHAMmpCYNdrb1MDGj58pZ8mNepY8Bk6LR/WDJNa3rOiAs4W3+75A9m2GMQkeBz1ajIyaG513FowB6nFC3p1W869O+Bt9OXvWidOh95sjso6Ut+kzmyLS2heubTfn05/97zX3Qyvx9GnIvSRP5yKzOJUdbx6VwO+fHpj1NaTiGig4uRkrXQGPfR61rGJiIiIEoXOy7FZtGWfdiFa1iwDPG40fP420hecCGOuL7YgmgxBHbfuTgq3MjHwmMNLsOGDPfC4vNj1zUFMOGoYBiqvV8OOpb6YBL1Bh9GHRh5j0J7mcaJuyzPwuprUcVPGKGSOOrPXubS29d8EliXflhKDefgYGPOK4K4+CMe2dfA01sGQkd1v9y8bYVyNuwNxCfpeRHD4mVNNOOGm2XjtriXwOL3Y9PFeFE3MwdgF0YsNIRooevouv+uuu3DHHXcgXuv2yiuv4Kyzzurxsp988gn+9Kc/4auvvoLNZsOoUaNwyimn4JZbbsHQoUNjsn52ux0//vGP8b///Q8OhwMLFy7Eo48+iqKiom6vt3HjRtx222347LPP4Ha7UVpaipdeegkjRoxAPHE0TEREREQ0SBjzCpFx9Km+I24X6t58Nvaz0Xexi3Vw1+n2AR6XUL6xBi21vm7F4TMLYEn3dRv3lqZ5Ub/9RbhbygLFtezxF0Kn731fTki+bekcDCTSoDNjxgxMnDgx6Zp1VFzCrNa4BE1Dy+r+jUvoqXs+UrkjMrDgsimB44ufWo/avf2b3UuUDMrKygKHhx56CJmZmSGn/eQnP4no9pxOJ/rb448/jhNOOAHFxcWqALphwwY89thjqK+vx/333x+z+7355pvxxhtv4IUXXlBF2AMHDuCcc87p9jrbt2/HEUccgUmTJuHTTz/FmjVrcOedd8JqjU6sUV8k118tIiIiIiLqk6wTzoE+LSMwU71j15aoP6MGSzag8/3U8Dg6L/YUjs9GRkGKWj6wrhotdb3fDTvRbY9yTELzvo/gqF2vlnUGC7InXAS9Ka3Xt+eurYLrgK+r0jx8LAxZbZNSDQRS/MzOzkZGRkavO5ITJS6hZdWSfr3vkI0wfZigLJh010881tdh73Z48PHDq+G2M++WKJgUO/2HrKws9d3lP97c3Izvf//7GDZsmPpeO/TQQ/Hhhx+GXF86W3/961/j4osvVkXfH/7wh+r0J554AsOHD0dqairOPvtsPPDAA+r7Mdhrr72G2bNnq6LlmDFjcM8996gOVP/tCrmurJP/eHv79u3DDTfcoA5PPfUUjjnmGHXZo446Cn//+99Vx3BfJvvsihSFn3zySfW4jjvuOMyZMwf/+Mc/sGTJEnz55ZddXu8Xv/gFTj31VPzxj3/ErFmzMHbsWJx55pkoLIz+XkmRYuGWiIiIiGgQ0aekIuvk7wSO1772dLc/gnpDpzMEZqSXqITObl9+8PmLmHL2jqUDs+vW4/Jg51flatlkNWDErL79CLRVrULzgU9bj+mQNe4CGFP7eJvB3bZTBla37UBgGjISxkLfZ8WxYxPc9R0n/EuWjlu/eZeUIm+kbwOSTNq3+vk9Uf8eIhqompqaVNzAu+++ixUrVuDkk0/GGWecgT179oRc7r777lN7G6xcuVJ1jy5evBhXX301brzxRqxatQonnngifvvb34ZcZ9GiRarYK5eRDlnpmv3nP/8ZuNzXX3+t/pViqHT++o+3J92u0uV76623dnp++2JxsK1bt+Kiiy7CuHHj1PpLUXX16tUq9mDp0qXdds8uX74cLpdLdfr6SRetxB3IdTvj9Xrx1ltvYcKECSpWQYq1hx12GF599VUkAmbcEhERERENMunzTkDjF+/CfXA/nLu2oGXVUqS1TlwWLQZLnq/Q43XB62qEwZzZ4TJSuF316na1vH1xGaaeMhoDzd5VVXC2+DqVRh5SBKPF0OvbcjbuQcOOtknlMkaeCkv2hD6v40Av3MqP8v3796O2thb5+fnJGZcwcz4a3n/RF5ew6ktk+iNPYswYg45bdbtmA46/aRZe+fkSuGxulK2qw8YP9mDqyQPvO4ASU/W6R+B1+jLC+5PenI68qdf26TakmDl9+nTVBWs0GlVnrWTOvv7667juuusCl5OOU8l69ZMCqBR8/TELUqiUTtQ333wzcBnprr399ttxySWXqOPScSu3LwXYu+++GwUFBYHCq3T/dld8lU7fkpLIM6yvvfZaLFiwAJdffjl2796Nl19+WRWhpRAsubiyjl0pLy+H2WzuUBiWfFs5rzMVFRWqGP773/8ev/nNb/CHP/xBFcWlQCwZvUcffTTiiYXbVnq9Th2IiIiIKDHowbFZrOgMBuSceREqn/i9Ol735n+QOvUQ6EzmqN2HwZoH1PuWpYDbWeE2Z2g68kZlqhnmK3fUq867rJLe7/I/kGMSpGhWv+XfgOYrAqcUHoqUotbs0z7wOuywb12nlg1ZuTAN7Xy312QmnZzbtm1TuxdPnjwZyUg2rKjCbWtcQn8VbnXGNOj0ZmheJzz26Hb6Zhal4eirp+HDB1eq48v+sxmF43JQOK7/Jl+jwUuKtl5XA5KRFBmliCpdolKMlAKuTPzVvuP2kEMOCTm+efNmFXEQbO7cuSGFW+lslc7c4E5cj8ejJvxqaWlREQvhfu/2NprmueeeU/EQ8r09bdo0VUSWx9fQ0KAKsJWVlYj2xj3xrW99S+XjipkzZ6qitmTyxrtwm1ybGomIiIiIKCqsk2fBOmGaWvbUVKJx0btRfWaNUrgNYxfr4GLmtgE2SZmzxYU9KyrUsjXTjKFT2p6TSHg9DtRtfgZed7M6bs4cg4yRZ0Qlr9W+ZQ3gaS0Gl85OygzYwcBUPAymkuFqWbrkJZe4P8j7wZ9z63HWQtOim0U76tBiTD3Vt7HA69Hw0Z9Xwt7Y/5Mo0eAjna96U2b/H8zpfV536ZiV3filE/bzzz9XsQdS4Gw/AVlaWlqvisLS0Sq36T+sXbtWddBGMlGXdPNK3qzEKURK4hckJkEmlCwsLFSRDtJRLAVbyccNjkFoT7qA5Xmoq6sLOf3gwYNddgjLnhjSuVxaWhpyumzoa18Mjwd23BIRERERDUJqwqZvXYzy+25Vu1/Xf/AS0uYeA0N6x87Yvk5qJDm3XRk7rwTLnt0EaBKXcACzzx03YIqHu7+pgMfl6+QZc1gx9MbI+2Y0zYuGbc/DbTsYiKDIGv9d6PS9j1zoOiYhtDuLEovEJdSXPdfWdXvsmf2Wc+tuKQc0L7zOhkB+dbQc8p3x2L+xErU7m9Fcbcenj67Bwp/OgY57xFIM9TWuIJ6kI1a6UM866yxVcJS9CXbt2tXj9aQQ2j6Ttv1xmZRMOnOlcNoVk8mkunC7c95556nIBZns68EHH+xwvhRWu8q5leKsFKWl03XXrl146aWXcMcdd6jCrazf/fff3+X9ymRksn4fffQRzj33XHWaPB4pwM6b1/leKhKtIBO8yeWCbdmyBSNHjkS8sXBLRNTqdy99F9Pmj1DLlx36N1TuC911Zt6pE/DzJ327lrz2xDf4+10fJcVzN3pKIQ4/ebxa/ui5taho97iIiGjwMg8ZibTDjkXzlx9Ds9tQ/+7zyD3viqjctsGaH1j2OLrexTot14qSybko21CDhoMtqNxeP2B2lY5GTELT3vfhqNuklnUGK7InXgS9MbxdVXuieb2wbVjhu22TGZbxU6NyuxQbqbPmo/6d1sLtyqX9Wrj1c9trol64lQ0asy8ahcUPbYW9wYl9qyux6vXtmHVW14UjosFs/PjxqgNV8mqlSHnXXXcFdvfvzvXXX4+jjjoKDzzwgJrM7OOPP8Y777wTsrFUbuv0009Xk3lJ8VUywSU+Yd26dSr/VYwaNUoVRiWH1mKxICen43fC8OHDVcFWMncl4kAmPJPr7du3D08//TTS09O7LMA+++yzqiAthg0bhiOOOKLT4m9nJGJBsnFvueUW5ObmqpxdedxStD388MNDJiy79957A9ERP/3pT3H++eer5+fYY49VGbdvvPEGPv3UPxlo/DAqgYio1aLXNgaeiwWnTezwvCw4ve20Ra+2XTbRjZlSiAt/coQ6FA7PivfqEBFRgsk+5QLozBa13LT0Q7gO7ovK7RrM2YGfGz3NRj8uqKgZXOxMZi31Duxf53vc6QUpKBwfeTHaVrkCLWWLWo/pVaetMcU3MUw0OPduh7fRF0RsnTgdenP0Mo4p+kwFJTANHR147dxVvi7sWAvunu9uI0xfpGSbccw10+GPNl/xwlbsX9c/cRBEyUYKr1IslY7UM888EwsXLlSdqD2RQqtktsr1ZYIzKU5KpmtwBILclmTevv/++6oLVYqdUjQN7jyVgusHH3ygirOzZs3q8v6uueYadTsyOaQUSKVYesUVV6hiqn+CtM74i7a99eCDD6ris3TcSiFWIhJkgrNg0l0rUQ5+sn7y3EiHsMROSNevdPpK0Tje2HHbSm/k5GREg93Sd7fgh785AUaTAUd+axJef/KbwHkmiwFzT/Rt9T+4pw5b15Sp742+MFuNcNp9mXKxpDO0rafeoAtrvftr3YiIuqP3Dozd5ROdITMbmcef5evk83pR+/q/UXjl7X2+XdmVXzrzPI5qVbjtbqKSUXOLsfgf6+F1a9ixtAyHfW8S9Ibk7jHZ+WU5NK+mlsfOHxJx/IOzcRcadr4aOJ4x6jRYsqLbgRgakzAnqrdNsZE2ax7q9u9Uy82rliLrhLP6teM22hOUBRsyNQ9zzhuP5S9slfQWfPLX1Tj7dwtUVz7RYHbppZeqg5+/41UmJZMip/x9ufba0OiHrqITrrzySnUIPt4+FkGKt3LoinTryiEckkfbXSZtLFitVjzyyCPq0BUZk7R32WWXqUOiYeGWiKhVQ40Na5fswayjR2PCrCEoGJqJyv2+WIE5x45BSrqvC+WLN3y7K4r5p03E6ZfNxujJhargu39HDd799yq8+8yqwGUuuHkBvnvLArV8x3f+h2/98FBMnTdc3dfISQUoGp6FjV/vw+3nPBu4zplXHoLL7zpOLf/4tKexbU15p6/T2GlF+O4tR2Dc9CKkZ1nRVG/Hvm01+OyVDfjgf2vwm+cvwLR5vvgH8dsXvhtY/tbwP+K4b0/FjQ/4ZiX+w1Wv4rCF43HI8WNRsbceN5/yL3X6kd+ajNMvnY2RkwtU4bdsZy0+emEd3nxyObytP0iDH+PPzn0WZ1w+Rz2PzQ0OfPLSOjz7py8ClxWnXjILZ189F1l5qdjw9T48/osP8dgi3wDioxfW4uFb3uH7koioH2Ucc7rqtvXUVcO+YQVsm9cgZeL0qHTqSeFWZqT3uppgMGd0ejlLmgkjZhVi19cHYat34sD6agybHr3O0ngI7hwet6AkoutKcaxuy3+A1omgUooOQ2pR2y6eMSncTu65W4sSI+e27s1nAzm3/VK47YeOW7+Z3xqLg1tqsW91lYpN+Pgvq3DaL+b2Kh+aiDq677771GRfMnGZxCT861//wqOPPsqnKoHx24+IKMiidkXZzpYXve67zPk3zcdtj30LU+YOR2qGRXWpji4txI9+dxKu+k3nWxVvffxbOPSEsUhJM6tC5nv/9hV4Jx86DEPHtA2KF5zqu79dmyq7LNpaUkz45b+/rW4vpzAdJotR/Ss5vVKAjdSPfr8Qx5wzRRWA/bupSbzCT/56BiYdMlSts8VqwqjJhaqo/OO/dr6V9RdPnYP5p05Ul88vycC3r5uHEy5o+/F/7HlTcNVvTkThsCz1GGYdNRq/feGCiNeXiIiiR2+2IPvUto17da89rfJP+8pgzQss9xSXEJwBu31x5LNQJ5KGihZUbPXNaJ07IgM5wzovWHdG87pRu+UZaO4WddycORYZI0+L+jq6a6vgOrDbdx8jxsKQFd3c0kQiGY1Tp05VXWWynMyMeYUwj/B1x7n274KrIvbRIr7YE13MO26FTEh2zI9mIC3P12V7cHMtvn5uS0zvk2gwWbZsmSrcShyARAM8/PDDKr6AEldy/9UiIoqyL9/ZApfDFxFwRGumrcQkHHr8WLW8d2s1dm6oQOGwTJx/43x12ofPrcFFM/6CCyY9hLf+6Zvg49RLZmPExLZJWfya6+245dR/4dvjH8DTv/tMdcX6IwmOP3+a+je3OB0TZvt+vH7y4rou13XYuFxk5vomJ7n3yldwzuj78INDH8VvL3sZX3+4LdDh++db3g5c5xff/q/qtJVDe7I7p1xe1u3+695QebjnXevr7pFO4muO+Tsumf0I1n+11/f8nDEJM47sOMtm2a5aXH7Y33DTyf+Ew+7qkBksHcJCzrvru8/hwql/xrovfbdJRETxkzrnCJiHjVHLrrI9aF7W9wk5jMGFW0f3hdvhMwtgTvXtELjr63K4Hd3PWJ3Idi5t2+g6dn5k3baOui3w2CoCE7xJrq1OZ4htt23pwI5JkN2I8/Ly1AzmkUZWJOokZX7SdRtrEnuit2QHOm4728U4mqyZZhx/w0y1p5dY+9ZO1Y1PRH33/PPPo6KiAjabDevXr8fVV1/NpzXBsXBLRBREdu1f+bkvD8gflzD7mNGqozY4JmHmUaNhaN1l64Tzp+OZ1dfjf5tuwmmXtu1mGBxR4PefPy3C9rUHVbFWiqESz7D4Td9tHnvuFDVAnX/KBOj1OnjcXnz68oYuX5/q8iZ1GX+h+MwrDlEdvxK78N5/Vkf8ur72f19j7dI9at0kbmHWUaMCj/HNp5Zj//Ya1FU247mH2n4gzD7G9wM/2H/vX4yqA43Yub4CuzdWqtPkeRTSgSvREOLrD7Zj9Re70VzvwLP3fRHx+hIRUXTp9Hpkn3Vx4Hjd2/+D127rt45bo9mgsm6Fy+7BnpW+4mWykaJWcEzCmHltncThcNvaClTpw06A3piCWGC+bfJKndEWm9Gycmm/3KexNedW89ihefr2vRCOwvE5OOz7kwLHP398DRoONsf8fomIEg0zboMGqnIgIvrizc2BicgWnD4JY6YWhpwn3xVZ+b5O1+5k5KT4vluCOjt2barq8F3z9jOrcOx5U5FblI5Djh8XiGWQAnJ9ta3L7yY57++//Bjf/+kRmHHESHUQbpcHL/zlSzz3Z99APvj+23/XdbdumXltj7GqrClwXlV5U+B0yaht/xjLdtcFLuts7ZYymQ3qtNyStl1Fqw+23WZ10EBcJ//x+5iI1PcBx2b9zTq2FCnT5sK2dhm8jXVo+Pg1ZJ96QVQKt+4eCrdi3IIh2PLpPrW8bfEBjDk8sm7VRNB4wIa6/b6/a0UTc5BREFnh1WPzbfQUhpTY5Px6HXbYt/r26jFk58E0dBQGMq/Xi/LyctTU1CA/Pz/54xJy8mEZPRGOnZvhKt8LZ9lemEuGx/Q+ZaJBP4lL0Kf3PBbuq9KTRqJ8c62a6M/Z4sZHD63EGffMUxt5iIgGCxZuiYjaWfb+NjhsLpW/evTZk1E8wrdrmHSQStepaKhu6zS477o38MUbm8N6Hv2xCMG2ripXObbjphfj3GvmYvxM34/Uj1/oOibB751nVuH9/65RnbZDRmericQk1kHydz98bq3qyg13b7b26ybdwH7SKdvZckNtx44Lfxew0u6+a4MKtLmF6Z3eJhERxVf2Gd+DbcNywONB46dvIn3eCapQ1BsGsxR7pEjm7bHjVhRPzkVqjgUttQ7sW1UJe5MT1tbJQZPF/hW1vY5JEG57VeuSLiRqIprsm9fIH2y1nFI6e0DEB/TUBb1582Y0Nzdj4sS2+KZkn6RMCrf+uARzyfkxvb+Q7nlHDUzpwxBr8r488sppqNndiPqyZlTvbsTSf23EkVdOjfl9ExEliuTe1EhEFAP2Fhe++XiHWh4zpSgQkxA8cdmqRbsCBcrv3rwAY6cVwWjSI684Hcd/ZyoefLttV9NwvP20b5KySXOGwmDQo7HOhmUfbu/2OtL1e9FtR6qO4IN76rDkna3YvNy3a6ZELWTm+jp8murtgesMnxD+D8DVi3bD4/E9xtMunYUho3OQXZCK71w/L3CZlZ/ujOhxVpU1omJvvVqWSdVK5w5DWqYFF/54QUS3Q0REsWMqKEHGESerZc3lVJEJfcnGNPizMe3VPWZjyt+vsfN90QJej4adX3U+QWeikrz4/St9hVudQYcxh0VWuJXnx99xKx2OOr0pJuupCvOtUqYM7HzbAR2X0Fpwb1m5JOa5s4bWqIT+mKAsmDnFiONvmgWD2Ve62PzJXmz53NeVT0Q0GLBwS0TUCYlE6HBaUOG2Yl8Dnn/YF0UwdGwu7n/zIry47RY8+dXVuP5PJ2P0lLZ4hXB88fqmkO5V6eB1O7uflMViNeLcaw7Dn177Pp5ZfR1e3Hozvn/rkeq8yv0NaiI1f6ewxCeIq359Al7d/RP87sWed3s9uLcer/xtmVoeNi4Pj356Of75zTWYOs+3K97Sd7Zg1SLfbNSRePaBxepfa6oJv3vhAvxn7fWYenjb7n0x/t1BRERhyDzxXOhT09Ryyzefw7Gn+42J4XTqaV4nvO6eMyqDu1S3L27Lik0GB7fUwV7nm5hz2LR8NclSJLyuBvU8+ScmiwXN64Vtg28yVZ3ZAut4di8mI0NWDixjS9Wyu7IMrgO7Y3t/1raoBLej/wq3Ind4Bo64vO19uvip9ajZ09iv60BEFC8s3BIRdWL5RzvQ0ugIHN+84oAq1gaTDNk//uh1rP9qr7qsw+5C+e46LHl7Cx644c2Inlenwx0SjRBOTIIUet94ajm2rzuoOnRdTo/qaP3s1Q24+3svwO3ydcvKaY/+7AOU7aoNFHDD9e8/fYGHbnpbPX7pRJY4hd2bKvHP332GP137BnpDJlx74u6PVHFZnrM1i3fjj9e8Hjg/uEOYiIjiw5CWjsyTvh04Xvf6073u6DNYgzv1eo5LyBuViawhvqJx+aZaNFXFfiKkaNmxtCywPHZBZJOSCY/NH5MAGGOUb+vcux3eRt/eL9YJ06AzJVcUBbVJndm2F5R03caSwRI80WD/Fm7F+COHYuKxvg39HqcXHz60As4W30YSIqKBjBm3rfRGndo1i4hIuD0efH/mXzt8T7T35ftb1aEz/ss//9el6tDd7YjsAt+P1F2bKrF9/cEuLxdc7P3Hbz/t8vzg63/6ynp1aH/+p69uUIfu1u3zNzaqQwe6nh/jXd9/vsNpMqHZ1jXluOqoJ9RxmWDiktuPClxu3Vd7e3zsRDQ46L38LoinjAUnoWnxe6qbz7F9I2xrv0bq9LkR344xqHNUFW4zfJNpdpdrKZOULX/B9/d1+5IDmHHmWCQ6iVDyRzsYLQaMnBPZ3jfCbQ+emCw2Hbe29YxJGEhxCbUvPyWzr6F55RJknfbdmOUV641W6Iwp0Nw2lXEbD/MumYyqnfWo3tWAhvIWLHpiHY67YeaAz2gmosGNHbdERHF2w30n4+9LrsIxZ/t2d3vlMV88wUBVNDwLf3zle3h27Q14fNGV+Peq63DaJbPVed98vB3LP/HlCxMRUXzpjEY1UZlf3Rv/hubuOMlmZNmYPXfcCn/Ordi2uK2LNZHtX1sFR5OvA3DE7AKYrJH3yLiDO26tBbEv3E72/f2l5GRIz4R1nC9CwFNTobqpY3p/rZ9lr1MiPSL/Lugr2dh//I0zYU71fbZkQ8m2L5IrToUoXLJBorvDL3/5y7g9mXL/r776aliX/eSTT3DqqaciLy8PqampKC0txY9//GPs378/Zutnt9tx7bXXqvtMT0/Hueeei4MHD3Z7HXk+J02ahLS0NOTk5OCEE07AV199hUTAwi0RUZzll2QitygdNQeb8J/7FoVMgjYQVZc34sv3tqK5wY7s/DR4XF5sXV2GJ3/9MX5/9WvxXj0iIgqSMvXQthzNqnI0Ln4v4ucnOKvVHWbhNrMoFYXjfZOa1e5tTIo8y+A83jFBOb2R8E9MJgwxiEpw11QGslDNI8aqnFRKbqmz5vdfXEJrXjWgwePwTcLX3zKL0nDUVdMCx7cvSY4NO0SRKisrCxweeughZGZmhpz2k5/8JKLbczp9+en96fHHH1cF0OLiYrz00kvYsGEDHnvsMdTX1+P++++P2f3efPPNeOONN/DCCy/gs88+w4EDB3DOOed0e50JEybgr3/9K9auXYsvvvgCo0aNwkknnYTKyra/y/HCqAQioji763ttcQKDQXV5U0imLRERJS7pqsn51sUof/BnavbIhvdfRNohR6sM3HAZLFKAlV2ZtbA7bv1dtxVb69TytsUHMHfERCQql2TAL69Qy6ZUA4ZO613Mgdvu67jVGazQG30RStHkn5RMpEyZg8FCr9dj8uTJqKmpUcsDScq0ucALTwBeD1pWLUX2Gd+HLkaP0WjJgX8GCIlLiFUOc09GHlKElGwLbHUOlG+qgdfthd44sF5XIil2+mVlZam/x/7Ttm/fjquuugpffvklmpub1ffbvffeq4qkflJ4vPzyy7F161bVHSuFy3/+85944okn8Ktf/QrV1dVYuHAhjjzySHW8rs7391a89tpruOeee1ShdciQIbjkkkvwi1/8AkajUd2uOPvss9W/I0eOxK5duzq8YPv27cMNN9ygDg8++GDIeh111FEh9xcpTdO6jEiRovCTTz6JZ599Fscdd5w67R//+Id6juT5Ovzwwzu93oUXXhhy/IEHHlC3s2bNGhx//PGIJ367ERERERFRl8zDxyBtzpFq2dvSrIq3kdDpja3FWyn2VIc9ydmYw4uha52DYsfSA9C8vZscrT/sWVEBt8M3AWjJjGwYelFE0jxOeJ2+H7JSEItFbmdovu0hGCzkuSwsLERubu6Ay0OVjSjWidPVsqeuGs7dW2N3XyGxJ/HJuRXyGg4p9a2LfO4qd/gm2yMaLJqamnDKKafg3XffxYoVK3DyySfjjDPOwJ49e0Iud99992HGjBlYuXIl7rzzTixevBhXX301brzxRqxatQonnngifvvb34ZcZ9GiRbj44ovVZaRwK12zUvD1X+7rr78OFEOl89d/vD3pdpUu31tvvbXT87OzfeOCzkix+aKLLsK4cePU+kvRePXq1XA4HFi6dGm33bPLly+Hy+UKKWJLBMKIESPUdcMh6/1///d/qmAu9x9v7LhtJVte9QbWsYmIiIgShZ49BglDJj1qWf0lNJcTjV+8h/QFJ8FU2JZDG84u1rJrteZxQHM3Q2fquWM3JcuiOlf3ra5EU5UdB7fUonhSW+EokUhHsN/Q2bl96rZtHy8RLV6HHfat63y3n50H05DuJ4mj5JE6cx7sG1eqZZmkzDI6Nt3pBmtQ4TZOE5T5lUzJC8QkHNhQjaIJjP2gyJTffzs8jb3v+uwtQ0Y2in/8+z7dhhQTp0+fDrfbrbpgf/3rX+OVV17B66+/juuuuy5wOek4lTxZPymASsHXH7Mg8QBLlizBm2++GbiMdNrefvvtqstWjBkzRt2+FGDvvvtuFBQUBAqvwV3BnRVfJd6hpCTy6CDJp12wYIHqGN69ezdefvllVYSWgurQoUPVOnalvLwcZrO5Q2G4qKhIndcdeR4uuOACtLS0qPX+4IMPkJ8fm4lCI8HCLRERERERdf+jITsPGcee6eu29XpQ9+Z/UHDZT8N+1gwWycbcFsi5NYdRuBXjFpSowq2/OJqIhVt7gxP71viKrmm5VuSO7l3EgSeocBuLXdDtm9cAHt+EUimlswdc52l3pMu7oqJCRSX4iw4DSeq0uah5/v/U62uTDSxnXRKTuITgjlt3HDtuxZBSf94uULa+BrPOiuvqUBKSoq2nPr7v47503EoR9a233lLFSCng2my2Dh23hxwSumfF5s2bAxEHfnPnzg0p3Epnq3TmBnfiejweNeGXFDRlgrG+xhn05LnnnlPdrtu2bcO0adNUEVkeX0NDgyrAxip39thjj1WdyFVVVSpS4jvf+Y6aoEz22IgntpgSEREREVGPMo87E/oMXweLbe3XsG/b0ItJjRBRzq1kWRothsAM8h63N+FeqZ3LyqF5fDEOY+a1xTtEyh08MZk1+sVF2/pvBmW+rfB6vdi4cSN27NihlgcafUoqUibPVMuehlo4dsRmolu9OVMCmBOi4zajMAXp+Va1LN34HpcvqoQoks5XQ1Zu/x9a/472hXTMSm6tdMJ+/vnnqtgoBc72E5ClpaX1qigsHa1ym/6DTNglHbRWq+8zFw7p5pW8WYlTiJTEL0hMwsSJE1XRVCIdpKNYCrZ///vfQ2IQ2pMuYHke2mfoHjx4sNsOYf/zJfcrObiSbyvdzPJvvLHjloiIiIiIeqS3WJF92gWo+d9j6njta/9C8c33htXZZ+xl4dZkNWLknEK1S7SjyaW6b0fOKUqoV2v7kraYhDHzS+CBvc+F22h33GpeL2wbfLvS68wWWMdPjertU/ylzpwP2zpfcb5l1RJYx5VG/T50Oj0MlhzVHa6iT/rQUdf3ddGhpDQPWz/fD4/Li4ptdSiZ3PY9Q9STvsYVxJN0xEoX6llnnaWKizJBWWcThLUnhdD2mbTtj8+ePVt15koBsysmk0l14XbnvPPOU5ELf/zjH0MmJ/OTwmpXObdSnJWi9NFHH60e10svvYQ77rhDFW5l/e6///4u73fOnDlq/T766COce+656jR5PNKNPG/ePERCNvRJrm68sXBLRERERERhSTv0GDR+/g5cB3bDtW8nmpcvQvqhR0fUceuOsFNv7IIhgSzL7YvLEqpw21RlQ/mmWrWcPTQNuSMyUFlp72NUgq84Fk3OPdvgbfJN4GSdMA06kzmqt0/xJ13UOpMJmsul8qhzzv4BdAZfd2y0c27Ve9XrgtfVCIN04cYxLkEKt+LA+hoWbmnQGD9+vOpAlbxaKVLeddddYe1NcP311+Ooo47CAw88oCYz+/jjj/HOO++EbICR2zr99NPVZF5SfJX5oCQ+Yd26dfjNb36jLjNq1ChVGJUcWovFgpycjn+zhg8frgq2krkrEQcy4Zlcb9++fXj66aeRnp7eZQH22WefVQVpMWzYMBxxxBGdFn87IxELko17yy23qAkpJWdXHrcUbaWTNnjCsnvvvVdFR0jhW6IhzjzzTJVtK1EJjzzyCPbv349vf/vbiDcWblvpDDp1ICIiIqLEoAPHZolGumtzvnUxKv72a3W8/q3/InXG4dCbLd1ez1eIlNdTC8lyDcewafmwZphgb3Rh94qDcNrcMKckxs+Y7UvLQgrMve0+1DRvYHIyKYzp9NF9fLYNKwLLKVNCMw9pYNBbU2CdPBu2NV/B29QAx7b1sE6cHtOcW4lLiGfhtmRK27qUbZBO/vFxWxei/iSF18suu0x1pMrkWbfddpsqjvZECq2PPfaYikKQDtaFCxfi5ptvxl//+tfAZeQ0ybz91a9+hT/84Q+qMCxFziuuuCJwGSm4SmFUcmBlsrCuun2vueYaFZkgE4tJgVRyaqV4K4VhuX5X/EXb3nrwwQdVwVk6bqVjVh7To48+GnIZ6cKVKAdhMBiwadMm/Otf/1JF27y8PBx66KFYtGgRpkyZgnhLjBEPERERERElBenYtJbOhn3DCjWxS+OnbyDrpPO6vY4UIvWWbHgdtfDYayLaxVpv1GP04SXY+MEeeJxe7P76IMYfNRSJFpMwdt6QXt+O11mvOhiF0Rr9Gaxt65cHlmViMhqY0mbNV4Vb0SxxCbEu3MoEZRmjEC/peSnILEpFw8EWVGytg9vhCWRiEw0kl156qTr4+TteZVIyKXLK39Nrr7025DpdFVOvvPJKdQg+3j4WQQqdcuiKdOvKIRySR9tdJm0sWK1W1TErh67IOCT48i+//DISFScnIyIiIiKiiOSceRHQmm3b8NFrcIcxM7fR4otL0Dx2aO6WiO5v3IK2oui2xW3F0niq3deImt2NarlwXLYqIPWW29bWhWyIcr6tu6ZSRVsI84hxMGT2fWIcSkyyQUUyjIVtzTJoHnfU78NoDe24jTfJuRVej4byLb7YEiLqmnS/SvTBtm3b8Je//EV1mUpeLiUuFm6JiIiIiCgipqKhSJ9/olrWnA7Uv/Ncj9eRCAA/dwQTlInC8dlIL0hRywfWVaGlLv6Thfhzd8XYBSV9ui2PPWhisih33No2BHXbTmG37UAmkSWSdSu8LU2wb1kb+47bOBsSHJewPrLvFaLBaNmyZTjxxBMxbdo0FZvw8MMPh8QgUOJh4ZaIiIiIiCKWtfDb0Fl9XabNyz6Fc/+usCco80RYuJXdQMfO93Xdyt6NO75sK5rGg+xiub2181cSHyTKoS/ctsqYddyGxCQM0nxbef/IbOqye3Fvc4iTReqs+YHllpVLon77wRPneRy1CdNxKw6onFsi6s7zzz+PiooKlTe7fv16XH311XzCEhwzboOys/QG1rGJiIiIEoVex7FZIjOkZyLrpHNQ9/q/VTW19rWnUfijO7ssjBmDC7eOyAss4xaUYPVr29WyFE2nnhy/bM3KbXVorLSp5SFT85Ga1f3kbD3xT0wmjNboFW69dhvsW9erZUN2HkxDRmIwkklqiouL1b9yGMhSJs2EzpoCzW5Dy9qvket2QWc0Re32dQYz9KYMeF2NEW+AiYXUbAuyh6ajbn8TqnY0wNnigjk1eo+XiCjeBvZfLSIiIiIiipmMI0+BIbdQLTu2rlMTlsWi41bkDMtA3sgMtVy5vR71Zc2Il21RjEkQntaOW50xFXpT77Ny21O7yrfmnMou9AO925QAncmMlKmHqqdCs7fAtml11J8Wf+yJ190Mryf+sSVDSn3ro3k1lG+OfxcwEVE0sXBLRERERES9Ip18OWd8L3C89vV/dzkhki8bU9erjFu/sUGTlG1fEp9JyrweL3Ys9RVuDSY9Rh1S1Lfbc9tV96IwRj0m4ZvAsj/7dDCSaIvq6mrU1dWFzCQ+UKXNjHVcQvAEZfEvlJZMadsoVLYh/rm7lLgGw+efBt57iVEJRERERETUaykzDod51EQ4d22Gu2I/mpZ+iIwjTu5wOZ3eCL05C15nneq4lR89kXaAjp1XgmX/3QxowLbFBzDrnHH93kV6YF017A1OtTxiVmGfd8v2xCgmQfN6YduwUi3rzBZYx03BYOX1erFu3To0Nzdj7NixMBgMGMisE6dDn5oGb0uzKt57nU7ozeYYTVBWDVNqMeKpZHKub5uQBhzgBGXUCZPJpP5WVFZWoqCgYEDsfSB/Q91uN4xG44B4PMn23FdWVqrnXd5bscbCLRERERER9Zr8cMk562IcfOgX6nj9uy8gbc6R0KekdfzxYc2D01kHzWOH5rZBF2EsQFpeiirSSFddQ3kLqnY2oGBMVr++etujHJMQOjFZPqLFuWcbvE31gUKe7EJPg4POaETKtLlo/uoTaA477BtXIHXG4VGPSkiUjltrhhm5IzJQs7sR1bsbYG9ywprO9zu1kY01w4YNw759+7BrV/cTaSZT8VA2SkluNwu3/U+ec3lP9ceGQBZuW+kNcuBWCiIiIqJEwUyv5GEZOR6psxegZcVieJsbUf/BK8g58/ud59w2bA9MyGU2jehVXIJ/d2iZpKw/C7dupwe7vi5Xy+ZUI4bN6HuHbKw6bm3rlweWU0oHb0zCYJU6c74q3PrjEqJauG3XcZsIhpTmqcKtdN2Wb6zFqEP7FmFCA096ejrGjx8Pl8uFgUCKthIBk5eXN+AnXUxE0mnbX3tvsHBLRERERER9ln3ahWhZswxwu9D4+dvImH8ijPlFXU9Q5qgBMiIv3I6eW4wl/1gPr1vD9qVlmPu9SdDr+6cBY8+KCrjsHrU8am4xjGZDlDtuY1W4nR2126XkYB0/Ffq0DLUhxbZhBbwOO/QWa1Ru2xjScZsYmbIlpblY946vk/LAhmoWbqlTUmgbKFEpUriV4qHVamXhdoBjWZ6IiIiIiPrMmFuAzKNP8x3xuFH31rMdLhNSuA3qNI2EJc2E4bMK1bKtztGvmZbBMQnjgiZK6wu3vbVwqzPAYMmOzm3WVMJVtkctm0eMgyEzOrdLyUNnMCB1+mFqWXM5Qwr5fb5tYxp0el8Ugcce/6gEIREq/pjPsg2J0QVMRBQNLNwSEREREVFUZJ5wFvTpmWq5ZfWX8DodIecbLcGF29536o2b35YtK3EJ/cHR5MLeVRVqOTXbgmKZEKmPNM0b2NVcito6XXQ6wWwbgrptpzAmYbBKnTU/sNyyaklUsx39ObceZy00zdeFHk8ySWD+aF9sSu3eJtjqQ797iIiSFQu3REREREQUnR8X1lQ1EZYiM15X+wqdfgZrjpR91LK7D9mY0nFrSvGlvknmrGTPxprcj8QziDHzSqISz6AmdmotesUs35aF20HLMrYU+gxft7Vt4yp47S3Rz7nVvPA6G5AISqa0bRgq25gYEQ5ERH3FjNtWeqMeegPr2ERERESJQq/j2CwZGfOKA8vu6oMwlwwPHNfpTdCbs+B11vVpUiPJlh09twhbPtsPl82jsmfHHN7WhRvrmASZIC0aPEH5tsaU/Kjcptdug33rerVsyM6DachIDHbSITpu3DjU1tYOqtnXdXq9mpSs6Yt3Vfa0be03SDv0qKhPUOa218BgkY0y8TWkNBdr3tihliVCJdbfCURE/YGjYSIiIiIiiprgCcncVeUdz2/dxVrz2OB1974DMLh4Guu4hOZau5rwSGQWpyJ/tC8Ooq/cQTm/hih13Nq3rFEZw/5u28FUqOyKzLg+dOhQFBYWDrpJfILjEpqjGJfgj0oQHkdiZMoWTcyBzuB7v5dtYMctEQ0Mg+uvFhERERERxZQpL6hwW32whwnKel/wKSnNU1mzYu+qStibnIiVHUvLAF9KAsbOHxK1YmgsOm4Zk0DBLKMmwJDlK7LaN6+Gt6Up6h23iTJBmclqROFYXzREfVkzmmvs8V4lIqI+Y+GWiIiIiIiixpgfFJVQ1X3hti85t5IxK1mzwuvRsOurjt29MYlJCJoYLdE6bjWvF7YNK9SyzmyBddyUPt/mQKBpGurq6tDY2KiWBxMVlzBznu+Ix4OWtcti0HGbON2tJaVt6+XvkiciSmYs3BIRERERUfR+YGRkqaJhlx23luh03IpxQXEJ24KKq9EknXtVO+rVskQkZA9Jj9ptu1s7bvWmDOiN1j7fnnPPNnibfBNFySRxOpO5z7c5EHi9XqxevRqbN29Wy4NNcFxCy8qlUblNg1k6W32d5x574hRuhwRPUMa4BCIaADg5WSudXqcORERERJQYdBrHZslIYgSMeUVwle2Bu7oCmscDncEQON8YpagEkTc6E1klaaq4Wr6xBk3VNqTnpSCatgXl50pMQrRIvq/mblbLBitjEih2zCPGwZBbAE9NJexb18LT1ABDet9ymnV6A/SWbHgdtarjVjqZEyFPuXB8NgwmPTwur5qgjIgo2bHjloiIiIiIYjNBmdcDT11117tY97FTTwpFwV23wZEG0SDFqO1LWgu3OgSiGaLBbWuLSTCmFEQ331anQ0rp7KjcJiU/+ZwE4hK8XrSs+Soqt2tszbnVPHZobhsSgdFsUMVb0VRpQ2Nl7ydAJCJKBCzcEhERERFRDHNuQ7NndXoT9OYs33mOtuJlb41d0FZM3R7UHRsNVTsb0FDuK/wMKc1DWm7f4wz8PPbKqBZu3TWVqss50GGZ4SteEYm0mcFxCUsGdM6tfFb9ytYnznoREfUGC7dERERERBRVEpXg5+os57Y1LkG69CQyoC8yi9JQMM5XCK7Z04iavY2IluBCcDQnJQvOt41WVEKg2xZgty11YBo2OrBBxbF9AzwNdX1+lgytHbeJVrjlBGVENJCwcEtERERERDHsuD3Y5S7W0ZrYKCQuIUpdt16vhh1LfdELeqMOow5te0zR4LFHNyohpHA7ZU6fb48GYFyCf5IyTUPL6i+jW7hNoAnKCsZlw2jx5Wof2FCtIk+IiJIVJydrpTPooTeyjk1ERESUKHTsMUhapqCOW3d1aFRC+w5Tt70apvRhfbq/MYeX4MtnNkHzSiZtGQ75zoQ+Tzwsk5211DnU8vCZhbCkmxCTjludMRAd0Vteuw32bevVsiE7D6YhI6OxijTApM6cj4YPXg7EJWQceXKfbs9gzQksuxOo49Zg1KNoQg72r61CS41DxZ3IJIZERMmIlUoiIiIiIooqQ04+oDd02XEbOkFZ32d+T8myYOg0X/xCU5UNB7fU9vk2t8UwJkGTSdtaC13GlHzodH37WWbfsgbwuAPdttJdSW3k+RgzZgyGDRs2qJ8bU8lwGIuGqmXHzk1wt5s4MFIGS15CdtyKIVPavmOk65aIKFmxcEtERERERFGlMxhgzPV11bqrD3bYVdkY1HEbjcKtGBsUlxBcdO0Nj8uDXct8ncImqwEjZhf2ef1Cbl+KtppXLRus0Y5JOKTPtzfQ6PV6DB8+HMXFxWp5sJKidcgkZauW9un29EYrdMbUhMu4FSVBE5QdWM/CLRElr8H7V4uIiIiIiGLGmOfLhNUcdnibGkLOM1jadrH2OKJTVBk5pwgGs+/nzc6vyuFx+wqjvbF3VRWcLb4OVsm2NZp93cOxmJhMOm77QvN6YduwQi3rzBZYx5X2ef1o4Ark3EahcBv8WfY6G6B5fZ+ZRJA/OhOmFF8yZNmGGubcElHSYuGWiIiIiIiizpgfnHMbGpegM5ihN2X6zotSx605xaiKt8LR5MK+1W3F0UhtXxK7mIT2E5P1tePWuWdboDBunTgDOpO5z+s30EjHd0NDA5qbmwd9Ac9UNDSQgezcvRXumoo+PbcGq7+zVYPH0feIkmjRG/QonuQrKtsbnKjd1xTvVSIi6hVOTtZKJibj5GREREREiUPPHoOkZgyeoKyyHJZREzoUfLyuBmjuFnjdNuiNKX2+z3ELhmDH0jK1LJOU+Qu5kXC2uLBnha+YZc00Y8jUtl2uE7Hj1rb+m8ByypTZfbqtgcrr9WLlypWqcDtixAgYDNHtoE42qTPnof7AbrXcsnIpMo//Vq9vy2jJgW8KP19cgjGl79Ef0TKkNA97V/o+a2UbqpE7PCPeq0RElPwdt4888ghGjRoFq9WKww47DMuWLev28g899BAmTpyIlJQUlVt08803w26399v6EhERERFxDNt9x62rurzj+YFOvejl3A6bng9Lukkt715+EE5b5Ltu7/rmIDwuX8zCmMNLVOdebDtu+1q49cUkQKdDSikLtxRZXELzqiV9esoMluCJBhMr53bIlKCc2w2JtW5ERElZuH3uuedwyy234O6778aKFSswY8YMLFy4EBUVne++8eyzz+L2229Xl9+4cSOefPJJdRs///nP+33diYiIiGhw4hi2c8Z8X8atcFeFRiWE7mIdvbgE2YNOiq3C4/Ri9zcd77cn2xf7OnZjFZMgu+37O2715izoDZZe35a7phKusj1q2TxiHAwZ2VFbTxq4TPnFMA8bo5Zd+3bCVdlxw0q4gj/HiTZBWe6IjMCGnHLJufWGTpJIRJQMEqpw+8ADD+DKK6/ED37wA5SWluKxxx5DamoqnnrqqU4vv2TJEixYsAAXXnih6tI96aST8N3vfrfHLl0iIiIiomjhGDaMqIR2GbcdCz7Rm/U9uNi6fXFbVm04WuodOLDO1w2bUZCCwvHRL4Rq7mZoHptaNvYx39a2fnlgOWXKnD6vGw3WScp633UbPNGgO8E6bnV6HUom+zqCHc0uVO8JnSSRiCgZJEzGrdPpxPLly/Gzn/0scJper8cJJ5yApUs7n+1y/vz5+Pe//60KtXPnzsWOHTvw9ttv46KLLuryfhwOhzr4SUi9+N0z30Zmhm+CBCIiIiKKv4bGBvx33E1IZP0xhu1q/Cq5nXJIWEYT9Jk58DbUqo7b9uuqNwcVfGzVUXssBeOykJ5vRVOVHfvXVqG51oaUrPC6WncsPQCttSlvzPwS1R0rh3DJY5DLd/dYnC1texPqJee3D4+7ZV1bvq1l8qzEfj/Ekf918b82fJ4A6/TDgDf+rZ6flpVLkHH8Wb17co3pMtsgoHlUx21vnttwPje9VTw5B7u+9m042r+uWnXhUmK8NtQ3fG0SV7Q/LwlTuK2qqoLH40FRUegEAnJ806ZNnV5HOm3lekcccYRvlyO3G1dffXW3UQn33nsv7rnnng6n5xakIzMzPQqPhIiIiIiiwWhN/B+K/TGG7Wr8WllZqQrHiUzLzAEaauFtqsfBvXugs1jbzvR6oGtdtDeVw95FPFpvFM/IwraP7KoIu+bDbRh9ZHidrZs+88UOiOyJ5i4j27r7sVZfX69eVyngd6pxR+Bx29xW2Hr5uDWHHa7t631HMnNQa7BCF8XncCCRz6hMTCZzochrajL5dp8f7HQlI6GV7VZxGwc3rIEuKN4kIoYM6Nx1quO24uBBlbcc9c9NL1mCHtLuVWUoOiQ1qrc/0MXytaG+4WuTuOQzMyALt73x6aef4ne/+x0effRRNZHZtm3bcOONN+LXv/417rzzzk6vI90QkqMb3LEgk5rVVDXD7Rjcs4sSERERJZKGxmYMRJGOYbsavxYUFCA7O7EzTWuKh6Fl3w61nGPQYC4sDDm/ujwDXlcj9J5G5Lc7ry9MJ6Zi20e+LruKNY047NwpPV6noaIFdbtb1LJ05Y2dPrJXP6R1Op16bboqcjTZHfAFJQDZBaNhzuzd425Z8xVqPB61nDbtUOS023hAoYXbtLQ0tVxYWMjCbavGQ49C/evPqGXr3s3IKp3eq7dNfV0hnPV10Glu5OakwGDOjPrnprcKCjQsy9oBW70TtTuakZ+XH5MJBweqWL421Dd8bRKX2WwemIXb/Px8GAwGHJQtdEHkeHFx51v+ZGAru5RdccUV6vi0adPUltQf/vCH+MUvftHpF4vFYlGH9u645EWYjSlRezxERERE1DdOt7+8lbj6Ywzb1fhVLpfoP6RNBW3PgbemAvpho0PON1jzVeFWcl/hdUJvDOrI7YO8EZnIHZmBmt2NqNxej8YKG7KKfYW7ruz8sm2CprELhvT6uZUiR3evjcfhy9AVppTCXt+PY8OKwHLqlEMS/r0QbzInSl1dnfq88rnySZs1P1C4ta36Etknf0e9fyOl8qpbG8w0Vx301uyof276omRyHnZ8WQaX3YOa3U0oHJfYG7wSTSxfG+obvjaJKdqfFX0iVaTnzJmDjz76KGQLghyfN29ep9dpaWnp8ITIH2IRSRYVEREREVFvcAzbPWNeW+FWcm7bM1h9EwdFe4IyMXb+kMDy9iXdT1Imvx2CJzIbO69tgrNo89h8hVud3gx9hJ2JfprXC9vGlb7bMVtgHVca1XUcaOQ3oxRuhwzpfUF+IDJm58EyepJadlfsV5EJfZ2gzJNgE5SJIVPavmfKNkT3e4aIKNYS6q+W7AL2xBNP4F//+hc2btyIH/3oR6r74Ac/+IE6/+KLLw6Z+OGMM87A3/72N/zvf//Dzp078cEHH6gOBjndX8AlIiIiIuIYNj6M+W2777uryjueL516rTz2aBduS+APk92+uKzbxo6aPY2o2++L5iielIP0/Njsiad5XfA4atWyISW/V92NwrlnG7xNvknqrBNnQGeK7m6ZNHikzpofWG5Z1fmEij0xhmyASbzCbUlp2/fMgfUs3BJRckmYqARx/vnnq0kW7rrrLpSXl2PmzJl49913A5M97NmzJ2QL6R133KEGO/Lv/v37Ve6KFG1/+9vfRnzfeqNOHYiIiIgoMegDUzgltniOYROdMa+tcOvqtOO2raDijnLhNj0vBcWTclG+sQb1Zc2o3tmA/DFZnV42uCM3uFM32nzdiL4CstEa3oRpnbGt/yawnDJlTlTWbSCTor00BNlsNu6Z2U7qjMNR+8o/5ElCy8olyDrl/Ig3KBgsuQndcZtZnIq0XCuaa+wo31wLj9sLgzGhetiIiJKjcCuuu+46dehqIodgRqMRd999tzoQEREREcULx7Cd06dlQGdNhWZvgbu6Y8etwRK7jlsxbsEQVbgV2xYf6LRwq3k1bF9SppZ1Bh1Gz+08mzga3PbKwLJ03PaWbf1y34JOh5TS2dFYtQFNIvi++eYbVbwdNmwY984MYsjMhmVsKRzb1quueNe+nTAPHxPR8xsaeZJ4hVspRJeU5mLbFwfgcXpRua1ObdQhIkoG3MxEREREREQxK5j44xI8tVXQ3O5+i0oQUoTVG3zdgzuWlsHr7RiXIB14zdV2tTxsej6smbGLHXDb2gq3ve24dddUwFW2Vy2bR4yDIaPzLmKi3sQlNK9aEvETp9OboDdlJGzHrRgyJSgugTm3RJREWLglIiIiIqKYMfnjEjQN7tq2wqXQGcxBBZ/oF24t6SYMn+krkLbUOVDWSb5lf8UkBE9MJgwpvSvc2ta1dtsyJoGiJHX6YTKDWyDntjcTffu7br3uZng9jgTPuU3M4jIRUWdYuCUiIiIiopgx5rdFD7i7yblVBR+3r/M1msYuaCvGSlxCMMm63PmVL8LBaDFg5JxCxFJbVIIupNs4ErYNKwLLzLelaDCkZ8I6fppa9tRUqsnvIr6N4Jzb1gn4EklGQYo6iIqttXA7PfFeJSKi5My4jRedXq8ORERERJQYODYbGPxRCaLTnFtrHlyNu9Syx1ENvXFoVO9/xOxCmFIMcNk82PV1ORZcNgVGs0Gdt39NFRxNLrUsRVuTNXY/j6SL0d9xa7Bkq93LI+W122Dftt53Gzn5MJWMiPp60uCUOmse7JtXq2WZpMwycnwfJiirhik1dlnRvVUyJQ+Nn+6D162hYmtdSHwCEVGiYqWSiIiIiIhixuiPSuii49YYMkFZ9HdhliLtqEN9RSQp3u5dWdF5TEJQZ24seF2N0Ly+XcgNvcy3VYU1jzvQbSsZwkTRkDptLmAwtMUleL0DaoIyMaS0bR0PdBKbQkSUiFi4JSIiIiKi/olKqO46KkGdb2/LgI2mcSFxCWXqX5fdjd3LKwJZuMOm5SOWPMETk/U233Y9820pNvSp6bBOnKGWPfU1cOza0oeO28Qs3ErHrR8nKCOiZMHCLRERERERxYwhKxcwGLvJuI19wUcKNinZFrW8d1WFikeQoq3b4cu5HH1YMfTG2P40Ci5KG6yRF4mlA9Kfb6uzWGEdNyWq6zeQSWfysGHDUFRUxC7lbqTNnB9YlriESBiToOM2LceKrJI0tVy5vV5tvCEiSnQs3BIRERERUUyzio15hYGO2/a7YAd33ErGbSzo9TqMnVeiliXfcuey8pCYhOCO3Fhx97Hj1rl7K7zNjWrZOnE6dMbIM3IHK71ej7Fjx2L48OFqmTqXMu0QoPV91bL6y4jiEnTGNOj0ZrXssSfe5GR+/lxbzaOhfHPiricRkR8nJ2ulN+hjvpWdiIiIiMKn1zg2G0g5t+6KA9BcTnga6mDMbuvO0xss0JvS4XU1qUmNYkUybNe945sEbeMHu1Gzr0ktp+VZUTQhB7HmsbcVbg29KNzaNgTFJJTOidp6EfnpralImTwTtrVfw9tYB8f2DbCOnxp2V7N0z7tbyuFx1kLTPNDpfJm5iaSkNBcbP9wTyLkdPqN3sSVERP2Fo2EiIiIiIurHnNvyDuf7u26leOv1+Cbwirb80ZmB3aSrdzeqjjsxdn4JdPrYT/LltvmiEnQGK/RG33r0Kt9Wp0NK6exor96Apmka7HY7HA6HWqaupfYhLiGQc6t54XXUJ+TTLIVbv7INiRnpQEQUjIVbIiIiIiKKKVN+UWC585zboLiEGHXdSkfg2AW+uIRgY+fHPiZB8zjhddapZaO1IOKcVXdNBVxle9WyecQ4GDKyYrKeA5XX68VXX32FtWvXqmXqWsqUOdCZfJEHLWu+gubx5UCHIziv2u1IzBiClEwLcoZnqOXqnfVwNLvivUpERN1i4ZaIiIiIiGLKmBfccduxcGu0xL5w21mRNntoOnJH+Io4/TYxWUrkE5PZ1gXFJExhTALFjt5iDXR0S6ayxCVE3HEbw7zqaBjS2nUrzdflm9h1S0SJjYVbIiIiIiKKKWNIx23XUQnCY49dISWrOA0FY9u6VaUDN9Lu197wBBVuezMxWSAmQRVuD4naehF1xjp5VmDZVe7r9I64cJsEE5QJxiUQUaLj5GSt9EadOhARERFRYtBrHJsNFMa8QpXNKi1unXXcBhdu3Y62ImcslC4cic8eXQOT1YDxRw5Ff3DbgiYms0bWceu1t8C+fb3vujkFMJUMj/r6EQUz5rZtXHDXVvUqKsHjSNxO1uJJuYD8edF8E5QRESUyFm6JiIiIiCimdEYTDFm58NRVh5FxG9uCz7gFQ5BZmIrUHAvS81LQH9x96Li1b14DtOaMqvzRfugQpsHNkN22cUE+s2Ffz5zdulOvN6aRJ31lSTchf1QmqnY2oGZPI+wNTlgzfbm+RESJhlEJREREREQUc8Z8X86tt6UJXltzyHl6gwV6U3qHWIFYkMJn0YQcZBSkor94Ah23+pDdySOPSfBljxLFkjE7aJKxCAq3Or0BBktWoONWkxDZBFVSGhSXsDFxi8xERCzcEhERERFRzBnzgnNuO+m6bZ2gzOtqgtfjGDCviKZ5Ax23BmsOdPrwd3rUvF7YNqxQyzqLFdZxU2K2nkR+OpMZ+vTMiDtuhX/DhOZxQHPbEn6CMnFgQ+LGOhARsXBLRERERET9OkGZK44TlPU3r7NBqtFq2WCNLCbBuXsrvM2Natk6cbqKnKDedVkPGTIEBQUFjJoIkyHb93n01NdAa43qGEg5t0WTcqHT+2JHyjaw45aIEhczblvpDXp1ICIiIqLEoPdybDaQmFqjEoS708Jt8Iz01TCllWAgCJ6YLNJ829CYhEOiul6DiV6vx/jx41FRUaGWqWfG7Dy49u1UEwp6GmphzAlvUr3gKBAp3JrShyXk021OMaJgTBYqttWhbn8zWmrtSM2xxnu1iIg64F8tIiIiIiLq36iE6o5RCcbgjlvHwOmA89iDCrfW8IpfHQq3Oh1SJs+K9qoRdckQVKj11IafOx1cuHUn8ARlomRKcM5t4nYHE9HgxsItERERERH12+RkXWbcBhVuE73gEwm3ra3oZYig49ZdXQFX+V61bB45HoYM36RPFDmZJMvpdMLlciX0hFmJxJid36sJykKjEmqRyEJybtcPnO8cIhpYWLglIiIiIqLY//BISYU+LaPLjlv/5GT+qISB2XFb0MuYhDlRX6/BxOv1YunSpVi9erVapvAzbiOdoCwkKiHBs6qLJuRAb/Tn3Cb2uhLR4MXCLRERERER9WtcgprwyOUMOU9vtEJvTBtwhVt/xq3OmAq9KbV3hdtSFm6p/zNu/dwRRCXI51je64k+OZkwWgwoHJetlhsOtqCpyhbvVSIi6oCTk7WSLW16I+vYRERERIlCr/k6oWjgMOYXwblnm5rwyF1TAVPRsA5xCd6mZnhdjdA8TugMZiQzr9uuHkuk3bZeewvs29erZUNOAUwlw2O2jkQ9ZtzWVUV2XUsO3O4WeJ0N0Lxu6PSJW3YoKc1D+SZfpMOBDdWYcFRiTqZGRIMXK5VERERERNT/E5T1lHOb4N164fDYg/Ntw5+YzL5pDeDxBGISdDpuxKD+ZcjMUZPiRZpxG/o51hI/5zZ4grL1yf+dQ0QDDwu3RERERETU7xOUuXoo3AYXPZOVO+gxGCOYmMy2/pvAMvNtKR50BgMMWbkRZ9wKY3DObYJvgCkclwWDSR/ouOXkdUSUaFi4JSIiIiKi/u+4rS7veH5I4TaxCz7h8LTm20YSlaB5vbBtXKmWdRYrrONKY7Z+ROFMUOZtaoDX6Qz/epacpPkcG0wGFE30rW9ztR2NFS3xXiUiohAs3BIRERERUb9l3IYblTAQJihz9yIqQTKAvc2+XFzrxBnQGU0xWz+i7hiDc27rw/88hnyOE7zjVgwpbVvfA4xLIKIEk7gp4f1MZ9CpAxERERElBp2XY7OBmJupM5mhuZxwV3XsuDUE7WLtHgCF20DHrc4Q0oXYHefeHYFl64RpsVq1QUUygouKilBfX8+84F503PrjEkwFJeFdL+i97k7wjlsxZErb907ZhmpMOo6TARJR4mDHLRERERER9VsBzd91666pULEAwfTGFOiMqQOi41bTvIGOW+lA1OkMYV3PVb43sGweMjJm6zeY6PV6TJo0CaNHj1bLFB5jUOHWXRt+5rTenAnojEnTcZs/Ogsmq+/zeWA9c26JKLHwrxYREREREfV/zq3H0+mkR0arb/dsr6sBmif8XM1E43HUApon5DGFw1XWVrg1FQ+LyboRhcOQHRSVEMEEZTqdPtB1Kxm3iT7hl96oR9FEX9etrd6JugPN8V4lIqIAFm6JiIiIiKjfGPOLA8vu6s5yboPiEpKgW68rnpB82zAnJtM0uA7uDeymrk9Ji9n6DSbyvHpkQ4HHk/BFxESNSoik41Zd19oal6C54XX5MpuTJi5hfXJ3+xPRwMLCLRERERER9X/HrZqgrHzATlDm9ufbqo7b8Aq3noZaeFt83X7sto0er9eLL774AitXrlTL1IvJySLouBUGSxJPULYheb93iGjg4eRkrXQGvdpFgoiIiIgSg87LsdlA5M+4Fe6qg90XfJK4cBuYmEwec0p4UQmu8n2BZVMxJ0ii+NKnZwJGE+B29aJw2zZBmcQlIGMUElnuqEyYU41wtrhRtqEGmleDTs8JMoko/jgaJiIiIiKifmPMa4tKcHUSlWAcKB23wVEJYXbcusr2BJZZuKWEmEww2xch4K6LLCrBGBR5kgwdt3q9DiWTfevsaHKhZm/ixzsQ0eDAwi0REREREfUbY26+VEm67rgNKty6B0DHrd6UDr3RGnnHbQk7bilxJijT7DZ4bS3hXy+kcz7xC7eiZErbOpcxLoGIEgSjEoiI+sHIsbk46awpGDoiG+kZFrQ0O1Fb3YL9u+vw1otr0dzoUOdNmzNUXX7Zop2oqQp/cExERJQsdAajKgZ5airgri5Xk0VJZ5+f3pgCnTEVmrslKTr1OuN1t8Drbo6o21a4yn0TkwlT0bCYrBtRJIzZeXC0LkvXrTllRGSTkyVJx22HnNv1NZh6yui4rg8RkWDhlogoxsaXFuLqW4+GwdC2k0Nmdoo6jBybh88/2Oor3I7MxsnnTFXnb9tYwcItERENWKb8YlW4VV18zY0wSJZmu7gEV1MLvM56aF4XdHoTkoknKCYh3HxbKWD7O24NuYXQW8Lr0iWKJUP7CcpKwivcymdWb8qA19WYNB23OcPSYc00w97gRNnGGng9XuiDxu9ERPHAwm0r+ULmlzIRxcJxp01SRVtbixP/d/8i7Ntdp7pupcN21uHD4fVq6vsneAIENWFiGANFk0kPl4uzIxPRwMSx2QCfoGyLb9ldVd6hcCu7WbuafN2nUvQxprZNaJZshdtwO26lKKY5bGrZVMxuW0oMhuygyIPaCCcos+aqwq10n3s9DugNFiQyXWvO7c6vyuGyuVG9qwEFY7PjvVpENMixcEtEFGN5Benq34Y6O3Zv93Uc1Nfa1GHD6jJ1/Jrbj8a4SYWB61x7+zGB5VsufQGHHjES371irjr+z78uwbTZQ1E6swTVlc144O4P1emzDhuOI04YhyHDs9UEC5UHG/H1F7vw+ftboWm+21p4VikWnjVFLf/ld5/g6JPGY+LUYlVU/mbxbrzz8rrAZcURx4/FMadMVIXmnVur8NIzK/HzP5yizlv2xS787+9fx/jZIyKiAVu4beWuPgjLqAkdCj6B8+3VSVe4dduCO24jn5jMHGZXI4VHojjy8/NhNptDYjkovKgEv0gnKDNYcuFq3B3YAKNPK0n4p7yk1Fe4FQc21LBwS0Rxx8ItEVGMSYG2sCQDRUMycetvF2LjmjLs2FyJ7ZsrYbe5I769b186B2npvo4Fnc6Xg3vyOVNw0pmlIZeTAu63vjtTxTE8/eiXHW7nipsWICXVrJYtViNOOGMyaqqa8eVnO9VphywYiXMumh24vBR4gwvKREREvWXMKw4sdz5BWdDu2Uk4QZnH7puYLKLCbfDEZOy4jSq9Xo8pU6agoqJCLVPkk5MJT22EhdugDTCSc2tKgsLtkHYTlM04Y0xc14eIiIVbIqIYW/zxNpVzK4qHZqrDsadMhMvlwZef7sDr/1uNR3//WUhX7SO//xTbN7X96AumeYFHf/8pdu+oQU5eKnLzU3H8aZPUeRXljXjqz4tVB+3F18zD2IkFmDl3OL78bAe2rK8IuZ3K8ibVvStF4BvuOA4mswEzDh0eKNyefLavM9fl9ODvD32Bfbtqce5FszF7HruAiIgoih23VeUdzw8p+CRj4ba1wKUzQm/Oirjj1sSOW0oQxqCMW7dk3EbYcZtsE5RllaQhNduCljoHyjfVwuv2Qm9ksZ+I4offQEREMbbmm/2q8Ll7e+hg12Qy4MgTx+P40ydHdHufvrcZ2zZVqoJqRVmj6oT1T3y26IOt6rTGegfef21D4DqTprV1Nvm99+p61NXYsH9PHQ7srVOnSSFYZOemIDc/TS2vX3UAWzdUwNbiUlEKREREfWXMC41KGFAdt5onUKSSicl0uvB+cgU6bnU6mAqHxHINicKmT0mFzpLSNjlZbwu3STJBmURplLR23bodHlTuqI/3KhHRIMeO21ayFY1b0ogoVjatO6gOmVlW1QUr3bUTSn0/WqfOHoIP39oEXdCue3qDLuQ7Kfi88v0NIeelZ7VN9FBfZw+c11Bvb7tMplWdHjwBWnVVS+CybrdvgjOjyfddmN1awO1wm42OtnXS+b47iYhiRe/ld8xApbdYoc/IgrexHq5OohL0xhTojCnQ3DaVcZtU3A2+3WMimJhM83rhOugr3Brzi6Ez+aKMKDo8Hg8+//xzNDc3Y+HChYxL6EXOrbw/PfXV0DQt7Jzg0M755CjciiGludi++IBaPrC+GkUTcuK9SkQ0iHE0TEQUYxZL2zYyKaauXLYXTzz4BVqaneq01DT/j7OgWcG6IRELwZobfbcjsnNS2pZz24qvzU1tl/HzeHw/KjsjxVq/zGxr0G223T4REVE0cm69jXXwOtr+7vgZLL6uN6+zHprXlTxPtqs2sCgdt+Fw11RAc/n+VpuKh8ds1Yh6w5Dj+yxqLhe8zY1hX09nTINOb06qjtuOObfJs95ENDCxcEtEFGOX3TAf375kNsZNKoA1xQijUY+ps4bAmmIK5NKKlua2H6UykVm4tmyogNfrK/oecfw45BelIyPTghNO9+Xeis3rOuYH9jShmkxUJqbMKMGY8flISTXh5G/5cm+JiIiimnNbXdHxfGtb8SSZij7BhdtwO25dZXsDy5yYjAbKBGXSmeufoMzjrIOmhTYfJKqMwlSk5/uaFQ5uqYXbmRzrTUQDE6MSiIhi/UVr1OOwI0erQ3tScP3sva1qWbJmPW4vDEY9zvneLHXYubUKj/zhs25vXwqsn7yzWU1QVliSgdt/uzDk/DXL96vibqTee20Dvnv5oTBbjLjmtqPVafV1tohvh4iIqDOmkJzbcpiHhE5+aQgq3EpcgjG17fIDrePWVR5UuOXEZJRgjK0dt8JdVwXz8DER5dy6W8pVfIjXUR8o5Ca6ktJcbP18PzwuLyq21WFIadtzQETUn9hxS0QUY+++ugFLPtmuCrNNDXZVnG1ucmDTunL83wOLsHVjRaDL9cVnVqCqokldJhLvvLIez/79azUBmtPhVnEKZfvq8eYLa/Hvx7/q1XovX7oHrzy7CrXVLWoiNFnPZx5ruy1/1AMREVFvGAvaJs50d5JzG1y4TaZ8TLiDO257UbgtHhaT1SKKTsdthBOUBRVq3Y62z0aiY1wCESUKdty24uRkRBQr27dWqUNXgif4Wv7VXnVof/6KZXvVobPr+K36Zp86dLwDHfStk5J9+PZmdWh/O48/+EWH09IzLNi3pw73/uI9dVw6gU87Z2rgcju2VnNyMiKKKU5ONrAZgztuq8p7iEoIf/fseJKJm/wdt3pzFvSGtglEu+Mqb/37rTfAVDAklqtI1KvJyfzcdREWbi3BE5TJdccmzQRlfjJB2Zzzxsd1fYho8GLhloiIOpWbn4rrbjtGdfA2NztVIddkMqjzNq4px8a1keXmEhERhfwQye+h47Z1crJkyrjV3C3QeR1q2Rhmt63m8cB1cL9aNhWUQGfkTzRKLIagwq2nrqr3hdsk+RyLtLwUZBanoqG8BZXb6uCyu2Gy8rNJRP2PUQlERNQpiW5Yu/IAbDYXMjKt8Hq82LOrBq89vwb/euxLPmtERNS3HyJpGdBZfBMAuas7Fm71plToDK3n2yPr8osXt70ysGxICW9iMtVt7HGrZVPJ8Jit22Amk2Tl5uYiKytLLVPvoxLcfYhK8CRRVILw59p6PZqapIyIKB64yYiIiDpVX2fHM73MxyUiIuqJFNCM+UVw7d8Fd20lNI8bOoOxQ9HH3bwfXmc9NK8LOr0poZ/Y4EiHcDtuXWXB+bYs3MaCXq/HtGnTUFFRoZYpwufPbFYbWrzNjZF33JqzW/vFvPAkyQYYv5Ipedj0se/zWbahBsOmh7cxhogomvhXi4iIiIiI4ptz6/XCXduxINRW/NSSolvPY6uKuOM2ZGIydtxSgnfdehpqoXnDn0RXpzfAYMnyXddR48uBThIl7XJuiYjigR23rXQGvToQERERUWLg2Gzgk47b4JxbU1DubYcZ6e3VMKYUIpF5gqISjNbwCrfO4MItO24pQRlz8uDav1NtZJHibfCEZeHk3MqGF83jgOa2QWdKRTJIzbIge2g66vY3oWpHPZwtLphTE7vrn4gGHlYqiYiIiIgoLkx5QROUVfc0QVnid7y5/VEJejP05szIOm6NprYOZIoqj8eDRYsWYcWKFWqZ+pZz6+mkOz78nNvE/xwHGzLF9x0kjcLlmxK/65+IBh4WbomIiIiIKAE6bss7nG+wJk/hVvO64W2Nc5CIh3AmwdLcLrgry9SyqXAIdAZDzNdzsPJ6vepAvRPcYeuui3CCMkvyTlAWEpewIbG/g4hoYGLhloiIiIiI4sKY333HrTGJCre+9fPldxrCnZisokztei6Yb0uJzJAT9FmMdIIyS2jkSTIpmZwLtG6DkQnKiIj6Gwu3REREREQUFwbp4mvtMpWM2/Z0xlToDFbf+Y7ELpq4g/JtDSlhFm7L9wSWmW9LyRKV4K6t7kNUQnJ13FozzMgbkaGWq3c3wN7kjPcqEdEgw8nJWukNeuiNrGMTERERJQq9h2OzgU6n18OYW6jiAqTjVmacD44YkGWJS3A374fXUafiCHT6xPwJ47G1dSGG3XFbvi+wzMItJUtUQl86bj32xN4A05mSKXmo3t2oGurLN9Zg1KGhkygSEcUSR8NERERERBT3uATN6YC3oa6bnFstobv1gjtujdaCsK7jKmvruDUXD4/JehFFgyErR7akqGVPhB23eqNVdc+r6yZ453xnhpS2Fa0PrE++9Sei5MbCLRERERERxY0xr22CMlePObeRdfr1J7fNV7jV2k2qFk7Hrc5sgSE3vGIvUTzoDEYYMnN6NTlZcNet19kAzetCMimelOOvWaOME5QRUT9j4ZaIiIiIiOLGmN9WuHVXlXc432AJms0+QXezloiHQFSCMRM6vanH63idjsCEbKaiYSo2gmInOzsbGRm+rFLqQya1vHeb6qG5Xb3MuZXO+Y6d9YnMnGpC/pgstVy7rwkt9Y54rxIRDSIcHRARERERUUJ03PoLmcGCu1c9CTojvdfVCM3bWswxZod1HffB/VLxVcumEsYkxJLBYMCMGTMwceJEtUx9z7mNtOvWGJxzm4RxCSVBcQllG5Jv/YkoeSVmsn8c6A06dSAiIiKixMCx2eBgas24Fe6qnqISqhN+YjKY2gpU4U9MNiwWq0UUVYactkn3PLVVIZ/dHq9ryWm7boJ2zndnyJRcrHljRyAuYey8knivEhENEuy4JSIiIiKiuDHkFnbbcSuTGukMFrXscVQn/MRkMLUVqLrjLG+bmMzEickoCRiy83vdcRvSOZ+EHbdFE3ICGxMPrE/M7yEiGphYuCUiIiIiorjRm80wZOV2mXGr0+kCRR/JxtS8biSakEnTTNm96LhlVEIseTweLFmyBKtWrVLL1DvGnKDia6SF26CohETNqu6OyWpEwTjfZ7uhvAXN1bZ4rxIRDRIs3BIRERERUVwZW3e59jY3wmtv6WaCMpnYqBaJxm2LvOPWVbZX/auzpgQmfaLYcblccLsTr+ifTILfpxKVEAm9OUPa55O241YMKW0rPh9gzi0R9RMWbomIiIiIKK6M+UVJnXPrL9zqDFZAn9rj5b12Gzy1lYFuW+kqJkp0xj5EJeh0+kDOrWTcaq0T8yXvBGWJ9z1ERAMTJydrpTfq1YGIiIiIEoPew7HZYGHMCy7clsM8bHSX+ZhuezV8ibeJQfM44XXWqWWDNR/eMIqwroOcmIySjz49EzAYAY8bnrrIOm6FwZoDj+RBa254XY0wmDORTArHZ8Ng0sPj8uLA+uTsGiai5MPRMBERERERJURUgnB10nEbOrFRYnW6SSHZTwq34XCV+2IShKl4REzWiyjadHo9jK1xCe7ayD+HbZEnvq7bZGM0G1TxVjRV2dBY0THWhYgo2li4JSIiIiKixOm4rS5PqqgE1UHYyhhu4bY131aYi4fFZL2IYplzq9lbVORHJIzWtozYpM25ndL2XXSAcQlE1A9YuCUiIiIiorgy9ZBxqzOmQae3JGSnXvDEZIaUgrCu4yoPikooYcctJekEZRHm3PozbpO5cBucc8u4BCLqDyzcEhERERFRXOlT06FPTVPL7upOCrc6XSAuweOoheZ1I1F47FW9iErY0/a4M7Jitm7UJiMjA6mpPU8cR90z5gRNUFZbNaiiEkTB2CwYLYbABGXJOMkaESUXTk4WMjmZ7wuYiIiIiOKPk5MNLsa8YjhbtqsuPs3tgs5oCjlfCrfulgOykzY8jjoYU8IrkvZfx60eBksu0Nh9Qcrb0gRPfa1aNpUMV0Vpii2DwYDZs2ejoqJCLVO0Om4jLNxak7/j1mDUo3hiDvatqUJLrQP1Zc3IHpIe79UiogGMHbdERERERBR3Rn9cgqbBXVPZQz5mYuTcapoX7taOWylK6fQ998U4g2MSiofHdP2Ios2YHdRxG2FUgk5vgt6U4btuknbcipLStu+isg3J+ziIKDmwcEtERERERHFnzC8OLLurOk5QFhxDkCgTlHmdDYDXpZYN1nDzbdsmJmPhlpKNIaf3Gbfq+q2RJ5q7GV6PA0k/Qdn6xPguIqKBi4VbIiIiIiKKO2Ne9xOUGYI6bt0JUrj1d9uKcKMbXGUs3PY3j8eDr776CmvWrFHL1HvGoKiESDNuO0xQlqRdt3mjMmFK8XXXl22sYc4tEcUUC7dERERERJQ4UQldTFCWiB23nkC+rUQ59KbjdlhM1os6stvtcDqdfGr6SJeSBp3F2oeO2+DIk+Qs3OoNepRM9j0Oe4MTtfua4r1KRDSAcXKyVjqDTh2IiIiIKDFwbDb4Jifzc3USlaA3pkGnN0PzOhOmcNs2MRlgSImscKvPyIIhPTNm60YUCzKZnkxQ5j64X01OpmlaRBPsqQn8krxw68+53bOiIhCXkDvcl91LRBRt7LglIiIiIqK4M2RmQ2cydRmVoApGrfmYHkcdNG/8d3n3BEclBHUEd3n5xnp4mxrUsql4REzXjSjWE5RpLhe8zY0RXTekcJukUQntc245QRkRxRILt0REREREFHc6vR7GXF9cgrumAprX2+Ey/sIt4IXHWYtE6bjVGVOhN6X1eHnGJNBAIB23fpHGJRgDn+Hk7riVDltLum9DU9mGani9WrxXiYgGKBZuiYiIiIgosXJu3S546mu6KdzGP+fW63HA62qIMN92X2DZXDI8ZutGFEvGnPxeT1AmGzkk8iTZO251el0g59bZ4kbNbt93ARFRtLFwS0RERERECcGY1/0EZSHdenEu+gRPTGZI6TkmQbjK9gSWTcUs3NLg67j1RZ74Cp4eZx00Lf6RJ9GIS5CcWyIaODRNg6t5P7yu5nivCicnC54Z0mBgHZuIiIgokcZnNLgY89smKFM5t+OmhJxvsLQVStxx7rh1h+TbRt5xayoeFpP1os6lpqbC40neImEiMQYVbt11kXXc+nNu3S3lgOaF11EPnTkbyTpBWXDO7fTTx8R1fYgoOpyNe9C05224mvZCb0pH3vSboDemIF6McbtnIiIiIiKizqISVMdteUJHJQR33BrD6LiV7h1n+d5Ax6I+pedMXIoOg8GAQw89FBUVFWqZ+vh8BkUlRNpxq67f2nEr3I4amJK0cJs9NB0pWWbY6p0o31QDr9sLvZEbHImSlcdRi8Y978FRszZwmtfVBFvlcqSVHBG39eK3ChERERERJWbHbTvS+dKWj5k4HbeGlJ47bj0NtdBsvl0u2W1LAyYqIcKMW3V9S+6AmKBMYh9KSn3PhcvuQdXO+nivEhH1gtdtVwXbqtUPhRRt/WwHv4SmdZwwtb+wcEtERERERAnBmFMg1ZAuC7eh+Zi10Lye+Hfc6gwwWHJ6vLyrzNdtK5hvS8lMb7ZAn5ahlt296bgNLtwm8QRlHXJuNyT3YyEabDTNg5aDy1C1+gG0lH0OaG51us6YhoxRZ8KcOS7Qieuo2xy39WThloiIiIiIEoLOaAzshu2qKlfxAu0ZrK27aWteNblRPEjnjT9jV4pQOl3Pu9+7WmMSBAu3/Uuybb/++musW7eOObdR7rr11NdA83p7HZUgBZFkFpxzywnKiJKHo24rqtf+FY27XoPmbp2ATGdAaslRyJ9xC1KLDkNq8bzA5W3lS+O2rsy4Dapg630b94mIiIgoAbDDYHAy5hXDU1MJzd4Cb0sTDK2dfZ1361XDGJR72188jrpAZ44xjJiEDhOTlQyP2bpR51paWmC32/n0RHGCMtf+XYDXC09DHYzZbZ/LnhhUpq18w3vjHnnSV5lFqUjLtaK5xo6DW2rhcXlgMDFHmShRuVsOonHPO3DWbw053ZI7DRnDTwrZsGTOnqDGHBLp4mzYDretAsaUwn5f54QbDz/yyCMYNWoUrFYrDjvsMCxbtqzby9fV1eHaa69FSUkJLBYLJkyYgLfffrvf1peIiIiIiGPY6DEFT1DWSVxCcKE2XkUfj70yonzbDh23RcNisl5Eccm5rYss51anl3iRLN91HTWddtYnC4lv8ccleJxeVGxjzi1RIvK6mtCw8zVUr/1LSNHWmDYMOaU/RPb4C0KKtkKn0yOl6PDA8ZbyLxEPCVW4fe6553DLLbfg7rvvxooVKzBjxgwsXLhQzf7ZGafTiRNPPBG7du3Ciy++iM2bN+OJJ57A0KFD+33diYiIiGhw4hg2uox5QYXb6vIO5xuCCrf+uIL+5ra1FaqM/uiGbkhhyl+4NeQWQm+xxnT9iGLN2BppItx9mKBM8zigeWwYKHEJZRuSu4OYaKDRvC40H/gcVasegK1CGkN9G4r05mxkjv0OcqdcBXPGyC6vn1IwJzApqr1qpZrIbFBHJTzwwAO48sor8YMf/EAdf+yxx/DWW2/hqaeewu23397h8nJ6TU0NlixZApPJpE6Tbl0iIiIiov7CMWx0GXvouA0u3Hoc8e+4DScqwVNbBc3h+7FnKma3LSU/Q3Zb4dbTmwnKpLOtYXvQBGW+wkgyKikNmqBsfTVmnzs+rutDRFAbTB01a9G45z14g/LwpQibNuQYpJbMh07vqyN2R2+0wpo/UxV9Na8TtsrlSCtZMDgLt9I9u3z5cvzsZz8LnKbX63HCCSdg6dLOQ4Bff/11zJs3T0UlvPbaaygoKMCFF16I2267DQZD57kyDodDHfwaGhrUv1ddOw+ZmZlRf1xERERE1DsyTvvN7xP72euPMWxX41ev16sOA40+ty0/TiYo6/AYDWmA/NjyulRUQjyeA7etrXCrM+cG1kH+lR+L7dfJUbYnZGKygfi6JTL/6+J/bfj8950+Kyek4zbS51RvDrq+vRqaVpy0r0tangUZhSlorLChYtv/s3cf4I2dZfrwb52j7iL3Nvb03ieTTnpCKp3QQyAL7NL7Asu3lPDfhYXQyxIIhAQWCDWhpfdMGklmkkzv45lxL7Jsq59z9F3ve6zicbclq92/XLryypalM5IlHz16zv0MIBKKwmovjJzbiV7TKPv42EwsOnwCw8fvgeZPRhQBFjhrt6JkwaVQbKWy73a6gxWddWeNdOsCga5n5HkRozCRdD9fcqZw29vbKyd81tcnP2EXxPl9+/aN+zNHjhzBww8/jHe84x0y1/bQoUP44Ac/iGg0KuMWxvO1r30NN95445ivl5c75YmIiIiIckUEuW4+9mEn2n/t6emRheNCEzOSb4aCHSfHj01Ty2Ex+qCFvOju6hQtNPO7kf5uiLnGMcWN3v4hAEOJN2s+n08WOkQBP04/tDexDrjLEZ4gCo4yQzxH/X6/HE4mfp/iR2vS7MX05Nrf1Y7ITH+nQ6p8DgmD/ScwEHOOed7kk4olblm4NbQYDvzzGGpWjh6qmK8mek2j7ONjMw5tEPA+DUvgwKgvx5wtQOV5CNprEPQGxF9izJizBZbQCRjhfvS0Pge4l0x4UfGcKcjC7Wx/Uevq6vDTn/5Udids3boVbW1tuOmmmyYs3IpuCJGjm9qx0NLSgsHBUF4fnkFERERUaMz9s8Iz033YifZfRaduRYWYzl542ks9MIZ9sAz2y/vqVL7BekS8fbDAQJXHPmagSCYZWhB9reabPntJHSpStk88tmJYkXhsUosc/cMDibeJ1SvXwT7Ov4kyW7itrq7G8PCw/H1i4XbuYtVVaLNYxPHIsAaHxn2eTibq1xCfaeayRoCSijHPm3yydKuGE8+akRGBdgN15xXGc3yi1zTKPj42SYYeQqDjCQQ7nwJiWuLrqrMGJS1Xwe5ZIX+P5yJsOx+Dh34j1/bwPlQsPmvCy9rt9sIs3NbU1Mgd166u0TlW4nxDQ8O4P9PY2Cj/6KYeUrZmzRp0dnbK7oPx7iyHwyFPp7rl5mfhdJak5d9CRERERHMXCvlz/m6cj33YifZfxZvoQn0jLXJuI8M+GINeQNOgnHKfiIFg8V5jI+KFzT31gLB00VJydUW+7amPgXhzeOpjEx9MBosFjoZmWAr0cctV4rE4++yzE922hfq8mVeKHWp5BXSfV2bczvQ+tbmSz1nxHLaUjn3e5JMF65L/ns69/Xn77xjPeK9plBuK/bGJxXSZOes/8SAMLbnPaLG6Udp8KVy1Z8CipCe2xFm1BsOOShhhL6KDh2CE+ybMuE/345Ezj67YQRXdBg899NCoTxDEeZEBNp5XvOIV8tCy1PyIAwcOyJ3hdFe4iYiIiIhOxX3YzLBWpwwo6xtvQFmyw1bk3M4nPdSbsh1TDyYTGXpaV5tcW2saYLHxfQoV1oAyY8iHmBad0c+KgT+iuJIcTpbf3JVOeJrMRrCewz5EgsmuPyJKv7DvEPp3/ghDR/+SLNpaVLgbz0fNpk/CXX922oq28qotirzOuEDXs5gvOVO4FcQhYLfccgtuv/127N27Fx/4wAdkFtENN9wgv3/99dePGvwgvt/f34+PfexjsmD7j3/8A1/96lfloAciIiIiIu7D5m/H7WSFW9FxG6endMDO92Aya0rX4ISX7+tGLBpJDCYjKhRqRXVirQ/MvPiqOswPYIzo0KjDm/NV01rz/ogZMXTt92Z7c4gKkhbohnf/7RjY9wtoweT+gaNqPao3fhxlC6+EYnVl5LZdtVvN4ajiqLCeF2Bo8xPplTNRCcJb3vIWOWThi1/8ojxUbPPmzbj33nsTwx6OHz8+quVYZHvdd999+MQnPoGNGzdiwYIFsogrJvLOlKpa5ImIiIiIckO+7Jtlcx+2UNmqkzETWm/npB23YiL9fNJDKYXbaXTcJmISxL+rkYXbbGXc7tixQ+ZDi6zbYj2sON2sKYVbbaBv1Acu0yGex5r/pCh1mkOF0IR81rSuCnsfPC7X7bv70LJ56tcHIpoeI+rH8MmHEOx+TpxLfN1asgBli66GvWxxxu9KURB21WyW2xAzIgj17oC7YfyEgIIt3Aof/vCH5Wk8jz766JiviRiFZ555Zh62jIiIiIhofNyHzWDH7TiFW8VWbna9GNF5j0rQgiNRCRYrFEfFzAq37LjNmqGhIQQCs5gkThNSK1M6373JCJHpsjqqEI6fiaZ3Cns2NK5JFrI79szv6xJRoYoZGgKdT8Pf/ghieuIVA4rdg9KWy+Gs3ihjDOaLq/7skeKxiEt4Bq76szJ++zlXuCUiIiIiouI2VVSCGMgiij7iMEk97JUDSiyW9GXZTSRm6NDD5iHhVmf1tN6ssXBLxdFxO/PCbWrnvNlxm9+c5XZULSxD//Eh9B0bRHg4CkepeVg1Ec1MLBZDuH8Xhk/cJ//Ox1kUO9xNF6Ck4RWwqPOfGW9zN8BWvhTRwSMy8z7iOwxHxYqM3mbaysI+n08egkJERERElA+4/5q7lFIPLHaHXGu9Ywu3guocKRrFdBjh+enWk28eY+Z7HnWCadKninaMdNwqKmy1jZncPKKsDCcT9IG+WWfcSlr+d9wKjWvNf1MsBnTuy/+ha0TZEB0+Ae+eW+A7dEdK0dYCV+3pqN70SZQuuDgrRdu40UPKnsr47c2pcPv888/jyiuvhNvtlllBjz32mPx6b28vXvva144bbUBERERElC3cf80PsqO2xsy51fp7EBunQSRRuBWXGemCzTQtNd92GoXbmK4h2t0u16Joa7HygEcq3IzbuRVu87/jVmhal7xP2hmXQDQjengAvkO/R//umxEdbk183V6+DFXrP4Typa+Hai/L+r3qqFwNxW5GJUUGDmY8a3/Wew5PPfUULrnkEjlM4brrrsPPfvazxPdqampkB8NPfvITXHTRRcgHimKRJyIiIiLKDeneNyu0/ddCZ62uR7S9FRDxBGLwUXXdhIVbcbgiPMszvk16MFm4VacxmEzm8+qaXHMwGRUapcwjpkiK6W+zyrhVRAHGYgViWsF03DasroLFYnbctu9mxy3RdBh6GIH2x+Hv2Ga+HoxQnTUoW3gV7BWr5Ae6uUJEM7nrz5IxDmK4YrDrGZQtuib3Om4///nPY82aNdizZw+++tWvjvn+xRdfjGeffXau20dERERElBbcf80v8Y7biQaUiYzZOD00Xx23yeKU1ZU8THwi0Y6TiTUHk1GhsSgKVE/1rDtuRUa06qg0z2g+xGLJSfH5ylFiQ/Xicrn2nhhCcDA5TImIRhPP+UD3c+h76dvwtz+aKNparG6ULXoVqjd8VHa35lLRNk7ENsgPngAEe16QxeecK9w+99xzuOGGG+BwOMa9E0UnQ2fn2B0sIiIiIqJs4P5r/g4oi44zoEx1VI9bUJ2/jtupC7eRzuOJNTtus8tms8HKqIq0s1aaz8NY0A8jHJr1gDKLyKqODqMQNKbEJXTsYdct0Xi0YA/6d/0IQ0fvSj73RSdrw3mo2fRJuBvOgUXJ/NDR2VJsbjhrNsl1TA8j1Lsjc7c1lz98hjHxJ2JtbW0oLS2d7dUTEREREaUV91/zi606Wbgdb0BZ4jDree24NQu3it0DRTWHp00m2smO21ygqirOPfdcbN68Wa4pjfdtSs6tPtA7p5xbfZ6yqjOtaS0Lt0RT8R3+PbRAstnTUbkO1Rs/hrJFV0GxuvLiDnTXn5NYBzqfQUxkpORS4fbss8/GH//4x3G/5/f78Ytf/AIXXnjhXLaNiIiIiChtuP+ax1EJfZ3jHmYdj0sQBZ9MH2ZtRP2IaUFz26bRbStEO06YC6tNZvYSFRprRfK5oHlnHpdgHem4FYzE9Pj8Vr+qEhbVPCqZA8qIxtLDPmh+c3CnGPJVuea9qFj59lERSPnAVtIIW9liudZDPYgMHs6t4WQ33nijLMxec801eNvb3ia/9tJLL+HIkSP45je/iZ6eHnzhC19AvlAVizwRERERUW5I975Zoe2/FkUnnzhM0tDH7biVl3FWQQt2ieMUYUR8ybzMDHbbytudRr5tTItC6+2Qa1tdEyzs9KQCpFbWzLHjtrLgOm7tLitqlpSj55APvnY/Ar4w3J6pO/SJikVk8FBi7ardAnv5EuQrd/058A0dk+tA59NwZGBQ6qw7bs866yzcfffdOHToEK6//nr5tU996lP413/9V+i6Lr+3cePGdG4rEREREdGscf81v4hCp7WqNjGcbLxDEFNzZrXQzLv9ZprHF2d1mts1mWh3OzASLcd82+wS70/FhzT79++Xa0ofa0pUwmw6blOzqucr8mQ+NK5JdhJ37SucfxdROkR8ycKt3bMir+9UR9UaGZ8kRAb2Q8vA69isO26FSy65RP7xe/HFF3Hw4EGZebts2TJs3bo1J6e+EREREVFx4/5r/g0ok0XbSBjGsA9qWcW4g40EXRRuM9Dpkrj+YLKbUHVNo3DbORKTIAq3DS0Z2y6anoGBARnpRzmWcetM7bgtjKgEoXF1FV7+21G57tjrxZKzGrO9SUQ5QcQahUcKtxbVAVtJM/KZRQxUqzsTwycfEP86BLueBTzJ7NusF27jRMi7OBERERER5QPuv+aH1FxYEZdwauHWOqpbL8MdtylRCdPJuE3k27JwSwVMTcm41Qdm/hy0KDYotjIY0aGCiUpI5NxaRJFKFG4L599FNFdaoAMxLSDX9vKlsIhIpDznqjsDw22PiIwkBHueh610a25EJfz2t7/Fu9/97gm/f8MNN+D3v//9bK+eiIiIiCituP+a5wPKxsm5VZ3zV7iNd9xaFDsUe/mMOm7t7LilAqW4S2Cxm/mtmnfmHbeC6jA752OaH4YeRiGwu22oWmS+TnhPDCE0FMn2JhHlYExC5o6SmU+KrQTOajMqNqaHEOrflRsdt9/5znewZcuWCb/vcrnkZd785jcjHyiKRZ6IiIiIKDeke9+s0PZfi61wG+3rHPN9WUC1WGWXSyYzbmOGlugGFLm6FsvU/S/RzpPy/6KopY5k9RIVGhGRKLpute422XErsqhnGpuoiMLtcGsi51YpaSyYnNu+Y4Ny3bXfi0WnJ48gICpW8ZiEQsi3TeVuOBuh3u1yHep5DjnRcSuybSfb8d20aRP27ds326snIiIiIkor7r/mf1TCqUQBNZ5zKwqrIjsvE8yhSeZwNKtr6pgEIxKG1mdur62+GRZl1m+7iPJmQFksGoERGJ5jzm1hDihjXAKR6EaNIDpkfkijOioT3faFwFayALbShXKtp0QrpcOs9yDEJ2ki4H0iXq8X0Wh0tldPRERERJRW3H/N88LtSCF0zGXicQkxHUbEl/F8W9U5dfes1t1uhluKN3ONHExGhU2tTB1QNvPO99TiTSEVbutXJwvSLNwSAZGho/JvdTwmYabd+bnO3ZDeoWRzLtyKbluRExaJjM1qCYfD+M1vfjNpRy4RERER0Xzi/mv+Uex2qJ7KCTtuBTVlQJkmO2PTTw+mDCZz1c4o39bWkN8TswuFoijyROmnjnTczjbndlThNkPP4WxwltpR2VIm1/2tg4gE2NhGxS1SoDEJcY7KdXLYYrrN+i/X5z73OezatQsXX3wx/va3v+HIkSPy9Ne//hUXXXQRdu/eLS9DRERERJQLuP+an6zVZs6tMeyDEQpmZUDZqI7bGRduzUMnKXtUVcX555+P0047Ta4pvayVyfgQfWCOhdsC6rhNjUsQDfgi55aomCXzbS2wly9FobEoKlz1Z6b9emc9nOyqq67Cz3/+c3zsYx/D6173ulGHoJWVleGWW27BNddcg3yhqBaoamG1aRMRERHlM7F/lk6Ftv9aLKw19Qgf2ZuIS7AvWDz/hdtgvBhlSUYzTHb5kcFkAjtuqdCJ4WRxunfmz0GL1Y2YxQZLLFpQHbdC45pK7LnfzPTs2NePli112d4koqzQwz7owW65tpU2Q7G6CvKRcNWdCey/LzcKt8K73/1uvOENb8ADDzyAw4cPy68tW7YMl19+udz5JSIiIiLKJdx/zfcBZZ1jCrephVQ9nP7CrSjsxweNKI4KWBTbtDtuLU7XqMPIiQp5OJmgzSLjVuZcWj1AtBd6ZACxmA6LpTA6oxtWc0AZkRAZNGuG8XzbQqXaSmGvXJM7hVuhvLwcb3zjG9OzNUREREREGcb91/zruI0bL+dWsZeLlj0gpkHLQMetER1CTA+b2+JMdhZOJBYOQR/J+bQ1tBTc8JV8ZBgGdu7cicHBQdTU1DDrNs1SP5yYzXAyyWYWbhEzYIR9UJ2FMW3e5XHA01QCX7sfvUcGEQ1psDnnXIYhyjsR38GCzrdN5ao9A+k051eMoaEhtLa2wuv1yk+jT3XBBRfM9SaIiIiIiNKG+6/5mXEbj0o4lcWiQHVUyq5YcZh1LGbIr6WLHuqd0WCyWF9nYs2YhNwg3qf29/fD7/eP+56V5kZxOKG4S2AE/LMaTiZZyxNLLdxfMIXbeM6tKNzGjBi6Dg6gecPUHwARFRLxdzmeb2tRHbCVFPbQTlvpgtwo3Pb19eHDH/4w/vSnP0HXdfk18Ucw/olyfB3/HhERERFRNnH/Nf87bqPjdNzKyzirzTiDmAYjMgjVUZG229eCKYPJptNx29ORWHMwGRVTzq0o3Oq+fsQMAxZlhh+eiKiEAh5Qtu8hMz6lc28/C7dUdLRAB2JaQK7FUDIxxIvmoXD7vve9D3/729/w0Y9+VE7orKysRD5TFIs8EREREVFuSPe+WaHtvxYLxV0Ki6sEsaAfWko362QDytJZuJ1xx21vsnBrbyjsriKi1LiEaHsrYOjQhwZg9VTNvnBbYAPKmHNLxS4y0m1b6Pm2OVe4vf/++/GJT3wC3/jGN9K7RUREREREGcD91/wkjuKzVdcjcvKIzI6NaRosVuuEhVst3Ac7lmWo43ZmhVtb48K0bQdRLrNW1ozKuZ1T4TbsRSEpqXKivN6Nwa4Aeg4PQIvosNrZcUjFWrgt7HzbTJh1+JPb7cbixaMnuhIRERER5SruvxZAXEIsBs2bLKRO1HGbTtpIx63I5VNspVNePtbbmegUVsqSxSiiohlQ5p3Fc9BamihPpPs5nAsa1piFbEOLofvQQLY3h2jexPQIIkOtci3y6FVH4eRX53zh9rrrrsOdd96Z3q0hIiIiIsoQ7r8WRs6tNk7Orci4jUtn0Ue84TTCA4lu2/g8j4kYgWFg2CfXtsaWKS9PVIgdt9rALAaUWVQoDk8i47bQhsg1rk4Wq0TOLVGxiAwdFX9MEzEJ/Ls4j1EJ1157LR577DFceeWV+Nd//Ve0tLRAVce2+5922mmzvQkiIiIiorTh/mv+slY3JNbj5dwqdo8s/Ig3h+nMx9RkETg27XzbaOfJxNrW0JK27SDKr47bWRRuZTdeFYywFzE9jJgWhMXmRqF13AodLNxSEWG+bRYLt+edd15i/cADD4z5vviETFTSdd2srOc6RVGgqLNuQCYiIiKiDOyfpVOh7b8Wbcdtz9jCrcWiyKKPHuqRxdZYzJBfS+tgMmeyo3Ai0U5zcrzAwm3uEA1GF154Ibq7u8dtNqK5s1akdtzOrutdHEYdHVnr4T4oBVS4Lat1obTGieHeELoPDkCP6lBt/F2kwhdO5NtaYC9PX/58MZl14fYXv/hFereEiIiIiCiDuP+av6zVKYXbvrFRCfGcW1G4RUyDERmCOnLYddoGk7HjlmhCqhhGJqJBYjE5nGw2UrMvxYAyW2lhda03rK7CoW3t0KMGeo4MomFVZbY3iSij9IgPerBbrm2lzVCsLt7j81m4fde73jXbHyUiIiIimnfcf83zopDVBmjRcTNu4zm3kZSc23QUbmUhOHH9U0claKM6bpvnfPtE+cJitUIp9cAYGkhL4daMKSksjWvMwm0855aFWyp0Ed/hxFrk29LspOX4s46ODrz00kvw+/3puDoiIiIioozi/mt+sSgKrFV1cq31dyFmGGMuozpTij7h9BR9kh23yqjrn0i0y8y4Vco8UEvL07INNHeGYWD37t04fPiwXFNmB5TpQwOIadqMf15xJDtQxYCyQsOcWyo2Ed/BxNruWZHVbSnawu1f/vIXrF69Gs3NzXII2bPPPiu/3tvbiy1btuDOO+9M13YSEREREc0Z91/zP+c2Fo1CHxwY8301JYNWdNzOlcjJ1UYybkX2pkWZ/GBFfcgHY3hQrplvm1tEfrV4j+r1euWaMjygTMQl+PrnFpUQ8qLQlNe74a5wyHXXAS8MjR8iUOESf0Pj+bYWxQFbCY9CmfeohL/97W94wxvegHPOOQdvf/vb8eUvfznxvZqaGixYsAC33XYbXv/61yMfqIpFnoiIiIgoN6R736zQ9l+Lja2mAaGRtdbXCWvF6A5Y66iiz9wLt0ZkEDDMUUmqa6aDyfgGlYqPNV64lQPKemGtNrvkp0uxOmGxuhHTAgXZcSuGX4qu2yNPd0AL6+g9Noi65RXZ3iyijNACHfK5LNg9S2FROIxv3jtuv/KVr+CCCy7Atm3b8KEPfWjM98UO8Y4dO2a9YURERERE6cT91wIaUDZOzq3iqAAsatoKt/FuW3nb0xlM1pEs3FobCmuoEtF0qCNRCcJcc27FByexkQ9OCi3nNk7k3BIVKubb5kDhdteuXXjzm9884ffr6+vR3W1OjyMiIiIiyjbuvxZGVIKg9Y0t3Fosiow0kN8P98vDNOdCT+Tbjo5hmFbHbT07bqn4WCuSzxPNm/zgYyaSWdIx6OGxkSgFlXO7j4VbKlzMt82BqAS32z3pMLIjR46gujp5qAQRUaG48OJlWLk6eejX3X/bg7aTvsT50jIH3vqOLfJwKKGrawh//fOutN7uLT9+GtmyfmMD7HYrhobCOLg/+aaWiCjXcf81v1lrGhJrrbdz3MuozmroolPWiMKIDkG1e2Z9e1qoZ2Ydt6OiEthxS8VHrayec8etiDwJx68j1Det514+qWgqgbPcjtBgBJ37vDCMGBRGNlKBiekRRIZa5Vp8oJqaX03z2HF78cUX4/bbb4c2zrTIzs5O3HLLLbj88stne/VERHljVUoRN34+XrQtROs3NGLrGS1YuaqwdqSJqPBx/zW/WatqRVvthFEJ8jLOlMJRaG7dbHowJSrBOfnfPDHwKtJ50jxTVgHF5Z7TbRPl9XCytHTcAnrYW5g5t6vNIwOiQQ39x82BhkSFJDJ0VFRv5druWV7Q741zuuP2v/7rv2SO7RlnnIE3velN8oG477778PDDD+MnP/mJ3Hn50pe+hHwhPuXiJ11ENC2n/OFZtKQKTpcVkbAuv7Vy9eg3d+LSaXl9SbnddL1eiesRn/TPZjvE6z5fN4kok9L9GlNo+6/FxmK1ycKQ7u2Vw8nGozpSCkehXtjLl8z69rSRqAQxLEmxlUx6WX3Qi1jQPBrRUtM469skymdqWQUgBhAZ+pwzboVCHFAWz7k99s+uRM5tzeLZHxlAlIsivkOJtSjcUpYKt6tXr8aTTz6Jj370o/jCF74gd3Rvuukm+b2LLroIP/rRj7B48eI5bh4RUW4bHgrLaITlK2qxZ1cnmlsqUFrqSHz9VDW1Jdh82gLU15fBZlcR8EdwvNWL7S+clIXfuKoqN845bzFqakvlZV7c0TbhNpSXO7F56wI0LfDA6bQiFNJw4rgXLzx3EqGgOdRBbNNb3rFFrne8YHYEidgFt9uG/7vtedTWl8pO2spKFxxOW+LfdvRIH17a0QZdj6GhsRzXvGZt4nYbm8rxnn87W663P38ycb2Ll1Zh3foGVFW7oSgKfL4g9u3pxr4943dHERHNF+6/FsaAMlG4NQJ+GIFhKO7SMVEJ6ei4NfQwjKjZCWedTr5tymAyFm5zj9gfOe+88+QMFrGmzLAoClRPFXRvT1oKt9ocu+bzIud2rxfrr5r9B0xEuSicKNxaYC9fluWtKdLCbTQaxd69e1FVVYUHH3wQXq8Xhw4dgmEYWLp0KWprefgsERWHA/t7cNrpzbLLVhRu47EJB/Z347TTR+fbLWjx4JVXrIKqJt8wlJU7sW5DIxa0VOBvd+5CJKLDbldx1avWwOkyC6jlHicuuGiZLOCeqrLKhVe9Zh3sjuTLeUmJHavX1GNBcwX++uedspCbas26ejhHirNxdXVlsuicqqLShS1bm1FW7sBjDx+e1v2xZeuCMf/u6uoSvOL8JXJbn952bFrXQ0SUbtx/LZwBZeFDu+U62tsFx8LJCrezKxyZP5s8zFudYb6tJSWLl3KD6K5XVVWeeMhuZlkra2ThVnywYoRDUBzOGf28Yi8Tbe5ATCvYjtuq5jI4SmwI+6Po3NePmBGDhTm3VCD0iA96sFuubaXNUKyubG9ScRZuxaeUW7duxbe+9S3ZcVtZWSkPOSMiKjatR/uxdl29LE62LKyQJxE9cGBfz5gC5rmvWCKLtppm4MH79qO7exinbW3G+o2NqKhwYcOmJrzw3Al5Pl603flSO3Zsb0NTUzkuvXzlmNs/65zFsmgrBoWJ6xzwBlHfUIYrr16NsjIHNmxuwnPPHB/1Mw6HFdseP4Ijh3rhLrEjqhmyQ7ft5AB8vhAiYU0Wds+/cClaFlVi2fIaPP3kMXR2DOLnP3kGb377FnndHe2DcjBbnOjq3XyaOUX7wL5uPPfscei6gdPPXIi16xuwdl0D9u3ugtcbzNCjQUQ0Me6/FgZrdcqAsj5RuB3dyaM6PKLtD4gZ0MN9c45JmE6+7ZjCbS2jEqh4pebciq5bpX7BjH7eYlHkMCM91CO75mMxQ36tkIgibf3qShx/oRvh4Si8bcOoainL9mYRpUXEl2z4YUxCFgu34pPKRYsWIRyOz3skIipOumHg0KFeGTNw4cXLoagKThwfgP+U7liPxyk7Z4UTraJI6pPr5587ITtgRUG3ucUjC7ei8CqIArCIIBCF3tZjXnR1Dsm4gjjVqsi4AkEUUl9/7cYx2ycKvqcSt71/r/kpqG8gJP8vunnFwDERt+By20Z1BYvOFI/HhZ7u4UnvC9FRHM+jFDEM4nQqsb0s3BJRNnD/tTDYUrpZtd6xObcWiyoPtRYds1qoT8a5zabDcnTH7TSiEuKDycQ2pBSXKTeII0P37dsHn8+HmpoaxiVkkDV1QNlAH2wzLNzGB5SJwq3oujWiw1DtY/dn813j6ipZuI3n3LJwS4Ui4juYWLNwm+WM24985CP44Q9/iPe85z0yMiHfqao4fIaT7ohoaqlHMqmKBYcO9MjCrcNpvqQeOtA96vVEvGF0lySjCQKBSPL7sRjCYQ1ut1122Yqviy5YIRrR5RvO+GXFz6W+Zrld1ikH94htMl/fkl/z9gfGvN5dftVqVNdMPHjFblcSPxP/SfE+OPV6RF7uVOL/RiKi6Uj360Wh7b8Wa1RCasftxEWfXsCIwogOzaroM5OOW/G3Ot5xq1bVwWIfm3FP2SUeo66uLvj9frmmzFErUztue+c+oCzUX5iF21E5t/1Ye/mirG4PUTqIDvl4vq1FccBWMvoIVJrnwq2u63A4HFi2bBmuvfZaOYjM5RqdXSGKFZ/4xCdmexNERHlBxBN0dw2hrr4MwWAUx1sHxlwmNWc2XpiNFyVEdIEQHrmM6H4V0QlieJnVakYryJ9zJ39OXj6sya5cUbxtOzGAB+7bP63tFfEFpw43ixdt29t8ePyRQ3J7RcSBiG04VQzjv+GJD0ITHnv4II4eKcxcMiLKX9x/LbDCbe/4hVsxTCyCA4mc29kUffR44VZ28FZOfllvL2Jh8wgWW0MzRv+VJSouakWyQ13zzq5wa3WmFG5lzm3hDT2vWlQGm0tFNKjLwu1sjw4gyiVaoAMxLSDXds9SWJSU7iGa/8Ltpz/96cT65z//+biXYeGWiIqFyKJdsbIWbW2+cTs5Bn0hDA2G5DCyloWVMjKgt8ePTactSMQSiIxZQRSBRWSBKMhu3tqMl7a3ycvHIxTidD0mc2fFZZuaPVi5qhZHjph5fjU1pSPbM4AjhybP+FNSOtpEUVfTDVnIXbZi/ENDI2EdKDOHoNlsKqJRPVH0jReSRdbt4GBYdveKvFyxfSIL+K937prxfUtElC7cf81/itMNpaQMhn9o4o7bUd16fUD5khl3DImYhfh1TfXGM9qRzLe1NbSAYXJU7MPJUjNuZyP1w5JCHVAm4tXqV1bh5Es9CA1G4Ovwo6Jp9LBFonzDfNscK9wePXo0vVtCRJTHRK6tOE3mmaeOyQFjoov2iqvXjCns7nq5Q6737O7E6rX1suApIhjESQiFovJrqZ57thVXvWot7HYrzj1/qTyl6mg3s3QnI3Juxe2LDF5RVL7uXeawSfE118iQtFS9PcOysCuK0O941+nya/fdvVcOK3tpRxu2bG2Gp8KFV79u/ZS3TUQ0n7j/WhisNQ2I+IdkUciIRKDYRx+RojpTMjZHCrAzYYQHZLamvK1p5dsmC7fWhmYWbqmojRpO5p1t4TblOkKFWbgVGtdUysJtPOeWhVsqrHzbFVndlkIy68KtGE5GRETTJ4aC3fP3vdi4uQl1dWWw2RUE/FGcOO7Fi9vbEInoiY7W++/eh7POXYyamhKZbSuKurV1pVi+cnTOnrc/iL/dtQubtixAY5MHLpdVRi4MDoVx8vhAYgjaZESH8EMP7MfZ4vZqS2UEw55dnbDbVdk5eyqxrS63XXYAx2Me4kThdmAgiDVr61FVXSK7b8X29/cF0HqscHe8iSg/cP+1MFir6xFpNd8c6v3dUBqaJyzczqZbTxNDkRLXNXm+rRDpHN1xS1TMFHcpLDY7YtGIHE42G6qz8Dtux8u5XX3pwqxuD9FcxPQIIkOtcq04Kkcd/UJZKtzGtbW14fHHH0d3dzfe+MY3orm5WeaHiYmdHo9HTvDNB6K4oCjJKepERBN5atsxeUq+foz/2vHLW58bc5m+3gAeefDQBK9DyesZGAjhvrv3jfr+wQO9idtNvax/OIqnnkhuz3jXGwho425P3NBgBA/ca+YBpnr5xY4xPxMO63j0obH/hvj3T7QOyNNU/0YioqlMNYCx2Pdfi1Vqzm20t1PmyqZSHRViKgoQM8whZTOkBZM/Y3XVTr/j1mKBra4J8E5+BA5RIRNxiaLrVuvpkMPJZpPdalFsUGxlcrigVsAdtzVLPLA6VGhhHR37mHNL+S0ydFRUb+Xa4VnOzOY0mvU7aPEC/MlPfhJLlizBO97xDrk+cMB80z88PCyHlf3gBz9I57YSEREREc0a918Lp+M2brycW0vKQDFxmPV42fOT0Ud13E4elRAzDGhdJ83tqmmQnYZExS6ecxuLhGEE/LO6jnjnfEzzw9ALMzlasSqoW1Eh14H+MIa6g9neJKJZi/iSjT12z3Lek7lQuL3pppvwve99Tw55eOCBB0btEIlOhTe84Q3405/+lK7tJCIiIiKaE+6/FgZRII3TeicaUDZS9DEismsvUx23Wl83YtGoXDMmIXeJI37OOeccbNq0iUf/zHfO7UDv3AeUhYojLkHk3BLlq3CicGuBvXxZlremsMy6cHvLLbfg+uuvx1e/+lVs3rx5zPc3btyY6MAlIiIiIso27r8WBltq4XacjtsxObczLPrEO24VWykUq2vSy0Y7jye3q5H5trlKHKpvt9ths9l4+O48UCuSnepiiOCsrsNZVXw5t/sK999JhU2P+KAHu+XaVto85d9OmqfC7YkTJ3DuuedO+P2SkhIMDg7O9uqJiIiIiNKK+6+FQSnzwGJ3yLXW2znuZayjBpRNv3BkaEEY0eFpDyaLdpoxCQI7bolGnn+VyeffrAeUjXTNF3rhtmapB6pNSQwoI8pHEd/hxJoxCTk0nKyurk7u/E7khRdewMKFC/MqX0a1cmgOERERUS7tn6VToe2/FnP3pMi5jXYch9bfLXNmLacMv0zt1tNC0y8cpQ4zs7omz7cVxDbEsXCbuwzDwMGDBzEwMICamhrGJcxnx62XUQmTsdpV1C6vkDEJwz1BDPcGUVrDbkXKLxHfwcSahdv0m/XesMiwvfnmm3HkyJHE1+LTIu+//37cdttteNOb3pSerSQiIiIimiPuvxYOa83IgDJdH/dQ7NShYvoMCrdaMHUw2Qw6bhUVttrGad8OzS8xj6W9vR09PT0zHlZHc+24nV3hdnTXfGF3ojIugfJZLGYk8m0tigO2EsYG5Uzh9sYbb0RjY6PMtxVZt6Jo+/Wvfx3nnXcerrrqKplx+/nPfz69W0tERERENEvcfy0couN2spxb1V6ReKsz28LtVB23MV1DtLtNrm11TbBYZ30wI1FBSUfGrcXqhkWxF/xwMoEDyiifaYFOxLSAXNs9S2FR1GxvUsGZdeHW4/HgmWeewWc+8xm0tbXB6XTisccek4effOlLX8ITTzwBt9ud3q0lIiIiIpol7r8WDmvqgLJxcm7FG8f4VHpRuJ1ul+WoqIQpOm7l7eq6XNsamqe97USFTnE4YXGVyLXmnWXh1mJJRJ7okQHEYuZzrRDVLa+AoppHLzPnlvJNZKTbVmBMQmbM6WNhl8uF//zP/5QnIiIiIqJcx/3Xwuu4jU4woEwUfcRgspgRgaH5odpKp99xa7FCcYiu3YlFO5J5ybZGHhpKNOo5WlGNaNAP3dc3bg71dAeUiW4+xAwYYd+o7OpCYnWoqFnmQfeBAQx2BhDwhuCudGZ7s4imhfm2mcfjeUYoiiXxKRcRERER5cb+GdGkGbey83VsVIKgiozMkYEpopN2qsKt6OiLZ2mKfE2LZfJCU6QzpXDbwMIt0ajnX2WNObxP12EM+aB6zA74mVCdyZ/Rwv0FW7gVGldXycKt0LHPi2XnMDObcl9MjyAy1CrXiqNSfthCOVa43bt3L37xi1/IAWVer3fMIUji8IaHHnporttIRERERJQW3H8tDNbKGlHZBwxj3IzbMcONREZm2eJJr1MPe8W7ULlWXdMYTJbaccvCLdHo519F6oCyvtkVbh1VRTWg7KW/moPfO/f2s3BLeSEydDTxd9PhWS5rgJRDhdtf/epXuOGGG2Cz2bBq1SpUVo59IebETiIiIiLKFdx/LRwW1QprZa0s2oqOW/G+49Q3jLLjdpzs2onoqYPJnJMPJhOinSdHLmwbFd1ARGJAWcrzb6AXWLR8boXbAh9QVreyEhbFgpgRY84t5Y2I73BizXzbHCzcfvnLX8aWLVtwzz33oKZm6h0bIiIiIqJs4v5r4Q0oE4XbWDgIwz8EtbR8wsKtNo2ijxZMFnen6riNaVFovR1ybatrgkXlFO1cpigKzjrrLPT09Mg1ZZ61omZUx+1spEYjFHrh1u6yomZxOXqO+DDQNozgYBiucke2N4toUuGROCLAAnv5Mt5bGTLrv1rt7e34l3/5FxZtiYiIiCgvcP+1kHNuxw4oU+0Vibc7emjqwpEWSum4naJwG+1ulzENAgeT5T7Rje10OuFwOHgo7zxm3Mbp3t7ZXUfqc7jAoxKEhjXJQnXnPm9Wt4VoKnrEBz3YLde2kmYoVhfvtFzruN24caPc+S0U4pNXfvpKRERElDvSvW9WaPuvxS41nkB03joWrxz1fYtiheqokAUfUbgdL04hlZ7acTtFVEKUg8mIZpRxOxsWRYXq8Mj8afE8nuo5XAg5tzv/cTSRc7vkzIZsbxLR9GISKmYehULTN+u94W9/+9v4+c9/jqeeemq2V0FERERENG+4/1rIHbfjDyiLxyXEjDBimn9aHbeKrRyKOvkhyhxMll8Mw8Dhw4dx4sQJuabMUytSYg5mWbhNzbmN6eI5HEQhq19VKY44lzr2FX6HMeW3SCImgfm2OdNx+5rXvGbM1zweD84//3ysXbsWCxcuhHpKtpP4NOwvf/lLeraUiIiIiGgGuP9a2KzVDZNGJSQyMn0jlwn1wW4rHfdyRtSPmBaYVkzCqR239oaWmW46zTPRqXny5En4/X4O0J4nFqsNSpkHxpDPHE42S/I5PGh29unhPig2NwqVo8SG6oVl6GsdQv/xIYSHo3CU2rK9WURjxGIGwiMdtxbFAVsJ/w7mROH25ZdfHvewBFGwHR4exp49e8Z8r5APYyAiIiKi3Mb918Jmra4bFZUw7mVSIg9kzm3ZonEvp4VSB5PVTLtwa7E7oFZNXeglKtYBZRFRuB0cQEzXYFGts+64jQ8ZtJW2FHzOrSjcIgZ07u/Hoq3JIwuIcoUW6EwcxWL3LJWxJpQ5037lPHbsWAY3g4iIiIgovbj/WtgUhxNKWQWMoQFEJ+q4TSn6TDagTA+mDCZzTl6INSJhaH0jA1nqm2FJcxYzUaFQK6uBE4dFex50Xz+sVXWz67gdUQwDykTO7e57WxMDyli4pVwU8R1KrO3lzLfN2eFkhUZVFXkiIiIiotzAfTOaiq2mHuGhAXk4thEOyWLueBm38aiEqfJt5c9MEZWgdbXJQpS8/cbC7v4jmmvHbZzm7Ztd4dZRXIXbhlXJf2/H3sL/91IB5NtyMFnuF24fe+wx/OMf/0Brq/mp0KJFi3DNNdfgwgsvTMf2ERERERGlFfdfC4e1uh7ho/sTcQn2ptFRCKqjUgQaiEQ+mY85EW1Ux+3kUQmRlHxbW0PzHLaeqLCpFdVzHlA2umvei0LnLLejsrkU3pPD6DvqQyQQhd3NnFvKHTE9gsiQWf9THJVQHcnnOeVY4TYSieBtb3sb7rrrLhnwXlFRIb8+MDCAb33rW3j961+P3/72t7DZ+CJDRERERNnH/dfCY61NHVA2tnBrUaxQHRXQw14ZlSDet4w3h0Mfybi1KHYo9vJJbzPakVq4XZiGfwVRMRRuZzegTLE6YbG65fDAYui4jefcisKtaOzvOjiAlk3M0abcERk6Jqq3cu3wLOdsq3kw62yAG2+8EXfeeSc+9alPoaOjA/39/fLU2dmJT3/60/jzn/+Mr3zlK+ndWiIiIiKiWeL+a+GxVqcUbvsmyLkdiUuI6WFZ/DlVzNASnXzishaLMq3BZAI7bokmeX5WpkYlzK5wm9p1a0QGETOiRZFzG9fJuATK5XxbD/Ntc7pw+5vf/Abvete78I1vfAP19clJh3V1dfj617+O66+/Hr/61a/StZ1ERERERHPC/dfCY62pH9VxO57UwzjHy7nVQ6KLzzCvb4p829TCrcXpGtVRSLlLURScfvrpWLdunVzT/FBTMm5nG5UgWBMDykTkyQAKXcNq5txS7gon8m0tsJcvy/LWFIdZRyWILtuzzjprwu+L791xxx3IF4pqkSciIiIiyg3p3jcrtP1XMjNupyzcpgwoE3EJKFs48WAy5+SFWyMUgD7SOWhraOEhonlCxGOUlJTA7/fzMZtHanmFeCEHDB3aHAq3o3Nu+6b1AUs+c1c44Gksga/Dj54jPkRDGmxOzpWn7NMjPujBbrm2lTRDsbqyvUlFYdYfNzY3N+PRRx+ddOiDuAwRERERUS7g/mvhUUrKZOdrfDjZeKyphdtxBpTpweQh3FbX5IPJop0nE2tRuCWiiVkUBaqncs4dt2qi41Y8hwt/QFlq121Mj6H7UOF3GVN+iPgOJ9b2CsYk5HzhVsQk/P73v8f73/9+7N+/H7quwzAMuf7ABz6AP/zhD3j3u9+d3q0lIiIiIpol7r8WZidlPOdW8/YgpmuTdtyOF5Uwk45bFm7zk3ifeuzYMbS3t8s1zR/rSJyI4R+CEQnPveO2SAaUNa4xC94Cc24pVzDfNjtm3W//+c9/HocPH8ZPf/pT3HLLLYmsIPGHUExrFTvG4jJERERERLmA+6+Fm3MbbTsq3ojIAUi2muTAMkF1iAKIiN2ImVEJp9CC8cKtZVR37niiHccTa3sjO27zhXh/2traKqMSNmzYkO3NKSqqGFB2dH+i61apa5pT4Xa8D18KUUPKgLIODiijHBCLGQiPDCazKA7YSvg3MOcLt6qq4rbbbsMnP/lJ3H333fIPobBo0SJcffXV2LhxYzq3k4iIiIhoTrj/Wphs1fUIjqy13s4xhVuLYoXiqIAR9srCrSjiiU5dQaz1kBmVIC5jUe2T3hY7bolmJnWAn8iHts2icKvYywCLFYhpRROVUFrtQlmtC0M9QfQc9kGL6LDa1WxvFhUxLdCJmOaXa3v5ElhEfjXlXuE2FArh4x//uJzG+ZGPfER+TRRoTy3Sfv/738fNN9+M733ve7DZbMgHqqrIExERERHlhnTsmxXy/islO26nGlBmdVQhEvYipocQ0wKw2Erk143osPyavIxz8nxbIdp5IpGtq5R5+BAQTcFakXxezXZAmcWiyM55PdQDPdQvO//E14qh63aopw161JDF28aULlyi7MYkrOADMI9m9GonYhFEl+0111wz6eXE92+99Vb87Gc/m+v2ERERERHNGvdfC581pcN2ogFlE+XcikJQ4nqmmFSv+4ehD5rdfraG5kTXLhFNs+M2HQPKYpr8wKUYpBZqmXNL2RbxHUysOZgshwu3YhjZG9/4RixdunTSyy1btgxvetOb8Nvf/nau20dERERENGvcfy2ywm1v55SF29ScWy3Ym3KZmml12wq2Bmb7EU3r+SkybuPPN2/y+TanAWWhYhlQxpxbyg0xPYLIkBmPqjgqoTomz4OnLBZud+7cifPOO29alz333HPx8ssvz3a7iIiIiIjmjPuvhU/1VAGqddKO29ShY3p4go5b5+QdtyzcEmWv49Ya77iVz+HiKNyW1rpQUuWU666DXuiake1NoiIVGTomqrdy7fAs5xEnuVy4jUQisNsnD+yPE5cLh8Oz3S4iIiIiojnj/mvhsygKrNV1cq31dcuBY5N33CaLPlowWbhVXey4JUo3kQdtGckN1wbS1HFbJIVbEccicm4FPWKg94gv25tERWpUvm358qxuSzGa0XCypqYm7Nq1a1qXFZcTl88XimKRJyIiIiLKDenYNyvk/VdKslbXQ+tuRywShjE4ANVTOeruEYONAPH7FIMWShaP4muL6oBiK5v0Lo12nkysRcYt5Q9FUbBlyxb09fXJNc1v8VGtqIHW0yE7bsUHK7PJhy7GqIR4XMLhJ9vlunNfP+pXjn5tI5oP4US+rQV2z+TRqZR+M/qrddlll+GXv/wluru7J72c+L643Ctf+cq5bh8RERER0axx/7U4WGvqE+voOHEJFsUGxe4ZVfSJGVEY4QG5Vp21UxaToh3H5f+VMg/U0vK0bj9llnhsy8vLUVJSwkN8sxiXEAuHEAsFZncdzsqi67gVmHNL2aZHfNCDZg3QVtIMxerO9iYVnRkVbj/72c8iFArhkksuwbPPPjvuZcTXL730Unm5f//3f0/XdhIRERERzRj3X4uDtXrqAWXxnNuYHoQRDUCTQ8rMWAXrFDEJ+pAPhn9Irm0NC9O45USFLx0DyuSHLyNd8VoRddyWN7jh8phxlV37vTB05tzS/Ir4DifW9grGJOR8VMLSpUvlZN63ve1tcviYOL9hwwaUlZVhaGhIHl52+PBhuN1u3HHHHVi2bFnmtpyIiIiIaArcfy0OtpSO24kGlMmc28HDiQFl+ki37cwHkzEmId8YhoETJ07A6/WipqaGcQnZHFDm7QOaFs3uepzVMKJDiGl+GHoYiupAseTcHn2mE9GQjr7WIdQuNY8eIJr3fFtP+gq3w88+jIG//goxTYPFZjdPdsfI2vy/Yj/166nnRcSRWI//s/GvKyOXharm7REXMyrcCtdccw1efvllfP3rX8ff//533HXXXYnviUyw973vffjMZz4jd5KJiIiIiLKN+6/FFZUwUcdt6oAy0W2beri16pqicNuRLNzaG1vmuLU030Su6pEjR+D3+7Fu3To+APPMmlK4neuAsqiYbj8SeaKUNKJY4hJE4Vbo2NvPwi3Nm1jMQHikcGtRHLCVpO/vn++e38MI+M3biYSRcRbLuMVdJX5+vAKw3Q7Xmi1wLFqBvCrcCosXL8aPf/xjeRKdtoODgzIzSHTepsOPfvQj3HTTTejs7MSmTZvwgx/8AGeeeeaUPye6fEU38Gtf+9pRBeXpUFVFnoiIiIgoN6Rz36wQ918pyVpVJ9+UIRaD1ts1jeFGffKU+HlnzQw6blm4JZoJMZws8dwbSD7v5ppzayuiwm1c595+bLxmSVa3h4qHFuiUHe6CvXwJLIqaluvVfV7oPvPDU4vDJXPjY9EIjEhY/h+6hrSLxcyc7XBoRj82+NBf0PTZb4/6gDgvCrepxM5uunZ4hd/97nf45Cc/iZtvvhlnnXUWvvvd7+KKK67A/v37UVdXN+HPHTt2DJ/+9Kdx/vnnp21biIiIiKjwcP+18IjuGNVTJYtCE0UlpBZnRdFWC/bEf3pUN+54WLglym7GraA6qotyQFlFUykcpTaEh6Po3NcPw4hBUfLzkG/K55iE9HWdRk4eSaxLX/FKVL76ulHfjxmGLOCKTtxY1CzmxiIRGImvRUZ9PX5Z49SvTXmZsMjSmXxjtSgGH/4Lqt78r8jbwm26ffvb35ZxCzfccIM8Lwq4//jHP3Drrbfic5/73Lg/o+s63vGOd+DGG2/EE088gYGBZF4VEREREVEmcf81N1hrGmThVgwRM4IBKC73ON16otgRgxbqhR7qTXTiWhTrpIfZRzpPmpetqB5zvUQ0g4zbuXTcOlI6botoQJlFMXNuW5/rQiSgwXtiCNWLyrO9WVRshds0DiYLn0gZeNY8NmbVoiiwOJyAOGVYTNdGFXfNrt+w7MztufUmxEJBDP/zEZRf/sZRsS/zKaeyASKRCF544QVcdtllia8piiLPP/300xP+3Fe+8hXZjfue97xnnraUiIiIiIj7r7nEWj15zq2cSm83h/pogQ7EjIhcq66aKQ/pjAXNQ0UZk0A0c4rTBYvTPefCrTWlM76YCrdC4+pkXILIuSXKtJgeQWQkU1pxVI7qeJ+ryIlkx62jZRmyyaJaoTjdUMsrYK2ukzn2joXL4VyxHmXnXWleSNcx+PBfs7aNOdVx29vbK7tn6+tHZ0eI8/v27Rv3Z7Zt24af//znePHFF6d1G+FwWJ7iRL6ZcP4FS2TOGRERERHlhvh+Wi7L5v6rYRjyRCa1OhmrFunthHXB4jF3jeiuNSID4jjMlK/VTHo/RjpaE2tr/YJJLyu+Jzp0+bjklvjjEn9s+Phkp+tW6wxAG+iDLqbIK8qMnzcxxSkHJMWMMLRwf1G9/tWvrkisO/b2Ye3lC+fldvmalrsy/dhEBo+K6q1c28uXJV5D50oexTJSuLW4SmCpnPxvcDaVnH8Vhh6/W0Ys+J95CGWXvhZqWfK5OJF0/3tyqnA7U2KwxDvf+U7ccsstqKmZ/JPyuK997WsyUuFULpdNnoiIiIgoN0Sjhbdvls79156eHnnEGpl0a/KQSl/rYQw3jj38EjGXDEtIFYg6EOjunvBu1A/uTayDJRWITHJZ8WbN5/PJN6biyEHKDeLDFb/fj1AohO7ubthshffakut098hcHF1Dd+sRWErKZ/e8UctgMcLQwwPo7uoUrfQoBjFHDFanCi2ko2NPP7q6umARAxkzjK9puSvjj03/y4m/l8FYLYKT/O2bidjQAIyhkXjTuma5L5PLLBvPQez5R2WMQtc9f4T1otdM+TPicSnYwq3YeVVVVb4IpRLnGxoaxlz+8OHDcijZq1/96jGVbavVKgeaLVs2uu36P/7jP+Tws9SOhZaWFoRCUdjt0Qz8q4iIiIhoNsT+Wa7L5v5rbW0tKiqm7vwoFpHwSsTfVjpDflSOM9g4oDfDP7x71Ncq65bCVjbxEOR+/wACI+vqFWthn2RgsngsRTFFPDYs3OYOUdg455xz0N/fL5+X4jlL88tb3wT/kT1yXalaRj2PZvK88Q3WIeLthQUGqioco3JvC13jmjac2NGDiF+DXStB5YLSjN8mX9NyV6Yfm/7udpj9thbUtGyGYk1Pvnuw+zjigSmly1bDM8nf1FygX/1mdOzYJj90ir24DTWveisU9+TPPbvdXriFW/GP27p1Kx566CG87nWvS/wyivMf/vCHx1x+9erV2Llz56iv/ed//qfsZPje974nd2hP5XA45OlUT2xrRUlJ5l/4iIiIiGh6/P7hnL+rsrn/Kt6osTiY8ljUNSbWWl/XuPeNdZw8W5u7btL7URsZTCZvo7FlyvtcvJHmY5N7qqqqoGmaLNryeTP/rJXJ554x2A9FWTGr543VWYX4cQZGxAubKzvDgrKhcU2VLNwKXfu8qG6Zn6hHvqblrkw9NnpkEHrQ/CjUVtIMqz19tbJo29HE2rFwWc6/HiuVNSg962IMP/WAHFjm33YfPFe+afKfSfO/KacKt4LoJnjXu96F008/HWeeeSa++93vysNabrjhBvn966+/HgsWLJCHjDmdTqxfv37Uz8e7Dk79OhERERER918Ll+IqkV0wRmBYFm6nGm4kWKwuWCbpIooZBqJdZuFWraqDMg8TrokKNeM2TvPOfkCZyKkeNaDMnDdYNIXbuM69Xqx95aKsbg8VrojvUGJtr1ie3utOGUxmbxkn0igHlV/6Wgw/85D4ZB5DT9yNsoteJYcuzpecK9y+5S1vkRkXX/ziF9HZ2YnNmzfj3nvvTQx8OH78eM5X5ImIiIioeHD/NXdYa+oROT4sJ9fHtCgs1tFZpqqzavTlnbWT5kTqA72ywybebUv5SXTBt7W1wev1yngTvp+cf9aUwq14Xs2WmvLhix7uRzGpXlwOm1NFVOTc7uuXESDzkXNLRV64LU9f4TZ1MJlSUga1shb5wFpVh5Kt58P/3GMwAn4MP3m/LObO2+0jB4nDysY7tEx49NFHJ/3Z2267bVa3qSiixZwvekRERES5Ip/2zbKx/0pjWatF4faweHcIra8btvoFo75vUWxQ7B4YEXNwiOqa/E1jtCMZk2BrYOE2X4liwaFDh+SRnGvWrMn25hQlNSUqQffOoXCbkmkrO26LiKIqqF9ZiZMv9yI4EMZgZwCexpJsbxYVmFjMQHikcGtR7LCVpu9vn/hQ1Rj2Jbpt8+mDh/LLXg//84/L/YvBR/+O0vOvhGIfG2OVCWxdJSIiIiKigmCtSQ6E03q7puzYszrHZt6minYeT6xtDc1p2UaiYu+41QbmEJVgr0iUMYqt41ZoSIlLEF23ROmmBToR0/xybS9fCouiZiYmoTk/YhLibHVNcG8+R65F8dkvohPmCQu3RERERERUeIXbvs7xL5OSkTlVx20kZTCZrXFhWraRqBiJ2BKl1JPoupv19SgqVMfI9YTNuIBiMjrnloVbynBMgmdFeq/7ZGq+7TLkm/LLXp9YDz7yNxnJNB9YuCUiIiIiooKJSoiLTtBx66jeIMo/UGylsJctmfT6oh0nzIXFIrttiGjuXbf6oBcxXZ/zgLKYHkZMCxTVQ1Kz1APVbpZxOvYWX+Gapi/gC+P4jm7oUT2HBpMdzrvBZKnsTYvgWn964gMokXk7H1i4JSIiIiKighlOFqf1TVC49SxHzZbPombzp6FYnRNeV8wwoHWfTHTyWmz2DGwxUfFQK0fiEmIxWbyd9fWkDBkstrgE1aqgfoWZ8+vvC2G4N5jtTaIc5D05hD9+6nHcf9MLeOGPB6f9czE9gsjQMblW7BVQHcmIk7QOJisth5oSn5JPyi97Q2I9+NBf5vQhVF4PJ8sGVbVAVVnHJiIiIsql/TOiGf3OlFfKAmssGpkw41Zezl425XWJwm8sah4GycFkRHOnViQzpTVvL6wpA8tmdD0pcSdaqD+tw5PyQcOaSrTv7kt03ZbVurO9SZRD/N4Q7v3684gENHn+8FMdOOOtq6Y1CEwWbWN64kPOdA4PE0MJDf9QIiYhnwaTpXIsWg7nyo0IHXhZ7icEdjyJktMvQCaxUklERERERAVBvBGMxyVo/d2ya3a2op0nUvJti6swRJQJ1njHrTzMuDc9HbehHhQb5tzSRCKBKO77xvOyGztOrAc7A9nPt02NSWiePKYo15Vfnuy69T1455z2NaaDhVsiIiIiIiq8uAQtCt03+8OoE/m27LjNe4qiYP369Vi+fLlcU/Y7bnXv7AeUWV11ibW/Yxui/jYUk9plFVCslkTHLZGgawYe/O4O9LeaXa1IaWht39M3w8KtBXZPejNo4zEJ+TqYLJVz2Vo4lqyWa62rDcGd/0Qm8a8WEREREREV5ICyiXJuZ9xx28CO23zvxK6urkZFRUXeHp5bSMPJBG1gboVbZ/Um84wRxcD+X0EPD6BYWO0q6pZXyPVQdxD+PubcFjuRH7vtll1o32U+rxylNlz4gY2J78ejNSajRwahBc2/mbaSZijW9EZwFFLhdkzX7QN3ZnRQIAu3RERERERUmAPKejvnXrhVVNhqG9OxaURFTU3JtJ1LVIJQvvT1sJUulGsjOoSB/b+EoSUPDy90DauTcREd+2Y/6I0Kwwt/OIiDT5id56pNwSs/tRXLzmmE3W2OterY3YeYEZtBTEJ6C6tyMNlJMypBKfNA9ZgD9vKZc9WmRAE62nYUob07MnZbHE42QlEs8kREREREuYH7ZjQb1pqGxHqyAWWTiekaot3tcm2ra4LFyrdN+cwwDHR2dqK/vx81NTWMS8ji8ECIqArDgDaHqATBothQsfI69O++GXq4X3YK+g7dgYpV74TFoqIYcm5fvMsshHXu7cfyVzRle5MoS/Y9fCLxuyDiES760CY0rDILow1rqnD8hW6EhqLoPzmE6oXlWcm31fu6YQT8eT+YLJX4N5S/8vXovfWb8rzv/j/BuWZLRv5t7LglIiIiIqKCYa1umHPHrdbTCejmZG1bQ3Pato2yQ3R77d+/H8eOHcvo4aw0OYuimMXbNHTcCoqtBBWrrodFdcnzEd9BDB37W1E8xnUrKmBRmXNb7Lp2+/D0L/Ykzp993RosOTP5N7BpXTKeRHTdTiQWMxAeKdxaFDtspemNB4qcTI1JSG92bja51p2eGF4aaT2I8KHdGbkdFm6JiIiIiKhgWKtqzK4+cfjiLDNuR+XbjrwpI6L0DSgz/EMwIpE5X5/VVYuKle8ARrpsg93PIdD5JAqdzWlF7RKPXPs6/Aj4wtneJJpnPYd92P4r8WGUeX791Yux/qrFoy6TWrhtG8m/HY8W6ERMG+mILV8Ki5LervXwiZGOYHH9zUsL6sOo8stenzjve+DPGbkdFm6JiIiIiKhgWFRrojgkohJm030X4WAyooywViYLSbpvbnEJcfbyJShfmhwUNHz8XoT6d6HQicPg40RcAhWPwa4AHvjWdugRQ55fcnYDznr76jGXq2wuhbPcLted+/ph6Obl5zMmQV7/iaMF2XEruDefC+tIDn744C6Ejx1AurFwS0REREREBcU2MqAsFgrACAzP+OejHSkdtw3suCVKl/iHKoLunXtcQpyrZjNKFlwyci4G36E/IDqcfB4Xas5tHAu3xSM0GMG9X39O/l+oX1WJC9+/EZZxZjaJvNV41200qKP36OA0CrfL0z+YbKTjVgwls3qSv7cF03V76esy2nXLlP0RqmqRJyIiIiLKDdw3o9myVovC7c5E161aUjajn492nhy5ItuoYWdENDfWimTHrTaQno7bOFG4FYPKQr0vAjENA/t/har1H4DqyP8J9uOpX1kBMQdJHFTQsY8dt8VAi+i4/1svYLAzIM+X1jtx2Sc2w2qfONpAFG6PPN0h1+27+lC3vGLU92N6BJGhY3Kt2CugOqvTu83iyJdQoOBiElKVnH4+fPf9QX4YFdqzHWgz7890YcctEREREREVlNRiq9Y3swFlMS0Krdd8k2urXyC7aYgoPdTUqIQ0DCgbM+V9yethK1sizxuaH959t8PQgihEdrcN1YvL5dp7YhihoblnBlPuMowYHvnRS+g+OCDPuzx2nPm+ZXCUmlEIE2lal+xwbR9nQJks2sbMYZwOz3L5PMrcYLJlKNSIpvJLXps4P/zY39N6/dwLISIiIiKigmIdiUqId/vMRLS7XbxDlmtbQ3Pat42omFlTohI0b3o7bgWLYkXFyrdDdZq3o4d64Dv4G8QMDQWfc7vPm9VtocwRcQPP/HIvWp8z/57ZnCou//etcFdNXrQVyurcKK1xyXXXAa/s2p3ffNvCHEx2qtKzLoZSZnYzB3dvRzqxcEtERERERAUYlWDS+rrmkG+7MK3bRdmhKArWrFmDpUuXyjVlj1pZk7GO2zjF6kbFquthsbrl+cjgEQwe+8usBhXmVc4t4xIK1s5/HMWe+1vlWmTZXvqxLYlu66mYObfm74keNRIdu2MLtxbYPekvrEZOpHbcFm7h1mKzo/ziV5tn0vxaw79aRERERERUuIXbnplFJUQ7Uwu37LgtBKJwUVdXh6qqqrQfBkwzo5SUwWKzybWegY7bOKuzGhUrrwMs5lifUM92BNofQ6ERg6kw8ivdsZc5t4Xo8FPt+Odv9ifOn//e9WjeVDuj62gcGVB2alyCHhmEFjQ/3LSWLJAfeqRTzDASUQlqRTXU8tH5uoWm9NxXyte4dONwshGqosgTEREREeUG7pvRbClOF5QyD4wh38w7blMKt/aGFj4IRGkkCueqpxpab2fah5Odyl62CJ5l18J36A55fvjkA1CdVXBWb0ShcJbaUdVShv7jQ+hrHUTYH4WjxCyMU/7r2NuHx25+OXH+tGuXY+VFM/9AUQwoi2vf0zduTILIt0038TyPhcyMaXuzmT1dyBSHE2UXXA3fXf+X3utN67URERERERHlAGu1OaBMH/TCiIRnXLi12B1Qq2bW1US5SRwi393djf7+/oI8XD7fiM47IRYOwgia0+YzxVm9AaUtlyfO+w7/CZEh85Dzgsu5jZkZplQYvCeH8MC3tsPQzNcsUbDd8vrZFVdLKp3wNJXIdc9hHyJBbZ7ybQt/MNmpys6/EhanE+nEwi0RERERERX2gLJpdt2KAq/W1y3XtvpmWHhEXkEwDAN79+7FkSNH5JqyyzpSuBW0DOXcpnI3XgBn7VbzTEzDwIH/gxbKbLdvtnJuGZdQGPzeEO79+vOIBMwCq4hGOO9f1s0p6iXedRvTY+jaJz7EMhKFW4tih600/UeYxGMSiqlwq7hKUHL2pem9zrReGxERERERUQ6wpebc9k6vcKt1tSWGitgaGZNAlPEBZd7MF25Fsat88WthLzcLRzEtgIH9t8OIZrbbd740iJzbEZ3Muc17kUAU933jefj7QvK8GEJ26cc2Q7HOrXw3Oi6hH1qgE4bml+ft5UthUVSkW+TE4aIYTHaq0nOTXf7pwMItEREREREVnNl03EY6jifWHExGlBnWimThNtM5t3GiKOVZ8Xaorjp5Xg/1YeDgrxEzzI7GfObyOFCxwDwMvvfoYOIweMo/umbgwe/uQH/rkDxfWuvCFZ85HTanNT2d2SMNu+27ejMek2AOJjua+LBGLS1HsVDT/G/lcLIRimKRJyIiIiLKDdw3o7mw1pgZt/EBKdMR7TyZWNsaFvIBIMoAtTLZ+afPU+FWUKxOVK66Hv27b4YRHUZ06BgGj/wZ5cveNKdD0HNBw+oqDLT5ETNi6D7oRfPGifO5xSHywa5nEOj6J5zV61HafNm8biuNT+Rvb7tlF9p3mc8JR6kNV372dLgrHGm5y5xldlQvKkffsUH0tQ4h2N+W+J49E4PJejoQC4eKrts2E9hxS0REREREBcdaPfOO2/hgMoEdt0SZHU42X1EJo27bUYmKle8EFJs8H+p7Cf62h1FYObcTDyjTw154996KodZ/QA/1wN/2CLRgzzxtJU3mhT8cxMEnzGKqalPwyk9tRUVTaVrvtHhcgmrVofnNIX2KvQKqM/mczEhMQjMLt3PBwi0RERERERUcpbQcFodzRhm38cKtxekaVVwiovSxVs5/VEIqW2kzPMveJJ7p8rwo3AZ7diCfNaQUbsfLuRXdnMGe7eh7+QeIDpmHr8cFe16Yl22kie176DhevGuk0GkBLvrQplHZxeku3FY1DcICc1Cjw7M8Ix3nkRPFN5gsU1i4JSIiIiKigiPeiMa7brX+HsR0fdLLG6FAovvP1tCS94dOE+UqxemWH44I+sD8dtzGOavWoXThlYnzg0fvRGQwWWjKNyWVTpTXu+W65/AAtHDy9U7EQvgO/hqDR/6EmBGWX1PsHsBiDqMK9WxHzJj89ZEy5/iObjz5iz2J82dftwZLzkxG/aRT/apKWFQLahd5M5pvO7Zwy47buWDhloiIiIiICjvn1tCnPCR7dL5tS6Y3jeaRKMKvWrUKixcvZkE+xwaUaQP9shs0G9wNr4Cr7kzzTEzHwIFf53VsQLzr1tBj6D40INeh/t3offn7CHv3Ji7nrNmC6g0fhaNyjXl5zY/wwL4sbXVx6zniw8Pff1FmEwvrr16M9Vctztjt2V1W1C7zoHah+fsh2nvtnqWZGUzWNjKYrKoWaklZ2m+jmHA4WepwMpWfqhMRERHlCg4no7my1iRzbqN9XaPOT55vy8JtIVEUBQ0NDfL/4kTZJ6JI5HNOi8IYHsxaQb9s8aughwcQ8R1ATA9hYP8vUbXu/VBsJcjHnNsDj5ofQHXu60SJ8xGEepMREBZrCcqXvFZ2Gwuu2tMR7t8l18Ge5xNfp/kx2BXAfd94PtEdveTsBpz19tUZv92WjS6U1wTkWjdqoVjNTu100rrbEYuY3d2MSZg7/tUiIiIiIqKCZKtOHm6q9XZOetloR7Jwa29k4ZZo3gaUZSHnNs5iUeFZ8VZY3eZrhR7ux8CB/0PMiCLfNKw2O25rWgZQU33nqKKt6K6t2fjRUcVZu2eZHEwlRAYOQg/7srDVxSk0GMG9X39O/l9oWF2JC9+/ERYl882EDcuSH5R4u5N50+kU5mCytGLhloiIiIiIClJqh63WN/mAMnbcFi5xKH5fXx8GBgaydlg+TTygLFs5t3GK6kDFyuuh2MzDuaPDx+E7/EfEYubwpnxRWqVi8xWtOOcNu+BwBeXXLIoD5UvfCM+Kd0CxlY66vMWiwFV72si5GIK927Ow1cVHi+i4/1svYLDT7HqtWFCCyz55Gqx2M3M405yujsT6+MuujLwmRlIKtw7m284ZC7dERERERFT4hdveqQq35iHGSkkZlDJPxreN5o9hGNi1axcOHTok15RbHbdaFjtu41SHBxWrrodFscvzIkJg+MQDyBfR4RPo2/UjtKxOHjkQU1tQvfEjsjg70bBFs3Brfi/U80LeFavzjWHE8MiPXkL3QTNj1lXhwBWfOQPOUvP3LtPE46sNmUVVLaKifb8DQ91mATmdIifMfFuBg8nmjoVbIiIiIiIqSKoYgKSqU3bc6v5h6IPmlG1bQzMHWBHNa8dt9gu3gq2kCZ7lb0kUMgMdjyPQ/RxyWczQMXzyQfTv/in0kNm5rGsKdj22BB0nL4XqqJz058X37Z7l5s+FvYgMJgtulObHKhbDM7/ai9bnzL9FNqeKKz6zFWW1rnm7q7VApxxGJ/Se8CBmKGjfld7nX0zXER0ZTGatrofiHt3pTTPH4WQjRJYIB2AQERER5Y75yHqjwmZRFFir6qD1dMiMW/HGebzOM8YkEBVnxu2pHJWrUbboVRhq/Zs8P3T0r7K46RgpbuYSLdAN3+E/QAu0J75msTfi8V82YtjrRkT3Aq+b+npctVsR8R1MDClzeJZlcrOL1s67j2HPfa2J/ZtLP7YFNYvn9+iOiO9QYt1z3Mw3bt/dj9WXLkzbbUS72hCLmtm97LZND3bcEhERERFRwRIdP4KYcG0Mjz98h4VbovmlenKzcCu4G86Gu+HckXMGfAd/Ay0wedTKfBKHu/s7tslohGTRVkHJgktQs/H9MGB22XYdGIChTR19IAaXWaxuuQ7374YRTf+h88Xu8FPt+Oev9yXOn//e9WjeVDvv25FauI0PJmvf05fWnNvIySOJtb2FHwKkAztuiYiy4P7HH8Edf/mzXH/43e/FaRs2yfXQ8DA+9qX/kGtPWTm+8+X/TvzM3x64F3fe+w+5/tyHPo6VS9P7h/Dnv/0Vnnz+n3J967d+kNbrJiIiypWcW7XM7DKasHDb2DJv20ZUrBS7HUppOYzhQejeXszPWKbpK114lYwOCHv3IqaH4d3/S1Stez9UuznALFvENvkO/wnRoWSkgeqshWfZtbCVNsvzjWuqcPipDmhhHb3HBlG3fOxrXiqLYoWrZgsCnU+K49wR6nsxpXBNc9Wxtw+P3fxy4vxp1y7HyovMx2o+xabiDOQAAHebSURBVPQIIkNmx69ir4CnaQF8nT0IDUbgPTGMqoVlaR9Mxo7b9GDHLRFRFixbtDixPtx6LLk+nlz7hgbR29+fcjlzB01VVSxu4ZtKIiKimXTcTjagLD6YTLA18G8s0XzGJYh8aZHVmkssFgWeZW+GtaRJnjciAxg48CtZ/MoG0REZ7H4efS9/f1TR1t3wClRv+FCiaCs0rKlKrDv2Jt9LTBWXECduJ50dmMXMe3IID3xrOwzNvD9FwXbL67MTuyGLtjFNrkX0R9O6ZNd7++70db1HTqR03DYvSdv1FjMWbomIsmDRghZYreZBD0dSirVHUoq45vnkjtmRVvMT0ubGJtht8zN5lIiIKN9ZaxoS62hv57iXiXYcl/9XyjxQS7LbUUdULKzxnFtRJBweRK6xqHZUrHwnFLuZQ6r52+A7/HsZVTCf9MgQBg78HwaP3omYEUl0TFaufg/KFl0Ni2IbdfmG1cnCbec0C7dWdz1spWbOqRbskv9Wmhu/N4R7v/48IgGzWCqiEc77l3VZG34ZzzEW7J4VaFqXHBAo4hLSIaZriLYfS/ztVVwlabneYseohBGqYpEnIqL5oNptWLSgWXbbHj1xHBbEoChKonC7ftVq7Nq/D0eOt+Kcraejs7sLwwFzAujyxUvk69XA4CD+cv89eHnPbngHfXA7XVi7chXeeNWrUF+bzEz6/d//gt3796HP60UgGIDD7sDCBQtw5UWXYsv6DYnLpe5ExF8PH3lqG277wx1yfebm0/CBd75bbicR0Xzgvhmlgy2lcKv1jS3c6kM+GP4h87IN6RvQQrlD7OMsX74cXq83a0UTGkutSBaOYoPenLyLVHs5KlZdD+/unyJmhGV0wvDxe2XBdD6E+ndh8OhfENOSubPO2tNQtvAaKFbnuD9T0VQCZ7ldHgLfud8LwxDvMyzT6rqNDh9PDClL7eKlmYkEorjvG8/D3xeS56sXl+PSj22GYs3e+6hkvq0Fds9SOCpdid+Tjj39MHQDijq37RNHr8SiUblmTEL68N03EVGWLFtkHjoSiURwor0NhmHg6IlW+Ybi8gsuHhWPcCilE1fELHh9A/jyt7+Bh598Ar3efui6jiH/MJ7d8QJu/O5NstAb9+z2F3Ds5An5fd0wEAgFse/wIXzv1p9i1/69E26fuK7b//g7uT5j0xa8/7p3sWhLRER5R62qmzQqYfRgMhYqCpH40HnBggWoq6vjvkwOsVbmfuFWsLkb4FnxtkT5RGTBBrqeyehtGloQvkN/gO/gbxNFW8VaAs/K6+BZ+sYJi7aCeC/RONJ1Gw1q6G+dXjezo3oDLIp5VF+o9+WsxULkOzEQ7qHv7UB/q/mBYGmtC1d85nTYnNnrm9Qjg7KTWrCWLIBidcOiWNC4Nvl70nt07l3vHEyWGSzcEhFlieicjTt07CjauzoRDIXQVN+ANctXyCzb420noWma/H7i5xYtwZ/v+Ycs3oou2//48Mfxs5u+g6986rMocbvhDwTwx7v/nrj82173Bnz981/ET/7nW/j5Td/Flz/x77Db7TK76qFtT4y7bS/v3YOf/PqX8jKnb9wkO23F9hAREeXjECTVY7451frGKdx2JAu3dg4mI5r3jFtpaCCn73lHxQqULXlN4vzQsb8jPLA/I7cV9h1C384fyCFhiduvXIvqjR+Ds3LNtK5jNjm3iuqAs3qjXIvuYtHtSzMj3js98bNdaNtpRg84Sm248rOnw13hyOpdGfElB4aJfNu4BSk5tx1piEsYlW/bsnTO10cmRiUQEWXJ8sXJAWWio1YdybwVHbWisLqwaYGMUWhtO5kYYFZWUipjEF7eu1ueF92zX/vhd8dc956DyR1Jm9WG235/B463n0QgGBw1bKAjpTM31Q9u+5ns4j1t/UZ84Pp/YdGWiIjymrWmHrqvX06wN0JBKE7XBB23HExWiMS+z8DAAIaGhlCbEidFOZJxKx6jodztuI1z150BPdSHQIdofIjBd/AOVK59H2wjA8zmSnS4Dp24F8GuZxNfs6gOlC16NZw1m2cU89GwpnJUzu2Gq6c3JMpZu1XGJMSHlDmqN8/o31Dstv/xIA4+buYDqzYFr/zUVlQ0lWZ7s8bk28Y1phRu23b1YdNrls3tdk4kC8QcTJY+7LglIsqS6soqVJSXy/XhY0flSVg20okrCrjCngP7cbKjXa6XLlok/z80PDzpdYuuW3m9rcdkJMLeQwfk106dEBsdySA6lYhvEFYtWw4rO22JiCjPWavrE+tTu25ZuC18Io7qpZdewv79++WacoM6Kiohtztu40pbLoejar1ci0FhA/t/BT3sm/P1RoaOo2/XD0cVbe3ly1C94aNw1W6ZcTZzVXOZ7PYURM5tzBj9HmAittIWqC4zXiY63Aot2DOj2y1m+x4+gR13jhQuLcBFH9qEhlXJAnq2iGF68XxbEYUhHuO48no3SqrN2I2u/V7oUX32t6NpiLSbGcnWuiYoTvect51M7LgdoaqKPBERzacVS5biuZdeRFdvD6KaWURduWSpfD1auXQZHtz2OB55elviTcaKke+VlZZhYNCHxrp63PSfXxpzvaJAK3bwduzeKTtnhXe96S246OxzYbPZ8P7/+HcM+/1ypyL+2pe6Q7h62XKZg3vHX+9EdWUlzj5t6zzdI0RESdw3o3QR063jtN5O2BcsTvy9jIxEJYjDthUX32gSzRe1vFLsgIonIpAHHbeCxaLAs+xaeMM+RP0nYEQHMXDgV7LzVkQNzFTM0OBvewT+9sdkF6+k2FDWcgVc9WfJ25vVdioWWTRsfaEb4eEovCeHUbWwbOqfs1jgqj0dw8fvludDvS8AjtNmtQ3F5PiObjx5q3lEpHD2dWuw5Mzk351s0gKdMDRzyLWtfCksijrq8W5aVy27hPWoge5DA2hckxJhMgPyQ9CR97P2ZsYkpBMrlUREWRTvrhX6BwbgcjqxoKFhVAZunze5Ixv/2qa1axNRB3+6+++ymzYcieDg0SMyFuFvD94vvy/yceOcDoccTvb3B+83i7aT+Ph7/00WhcUb2pt/dbvs+iUiIiqIjtuUAWW6z4tYyDxKhTEJRPPLoqqJ/OlcHk52KotiQ8Wq66A6zG5KLdAB36E7EIvNrFtRC3Shf/fN8Lc/mijaWkuaUb3+Q3A3nDProu1ccm4FV81m8eDIdaj3RZHhMKftKHQ9R3x4+PsvJrqa11+9GOuvSkbiZVu82/bUfNs4UbiNa9/Vl56YBObbphULt0REOTKgTFi6cFFi2nFdTQ3Ky8pGfSIqvi+88epXo9JTIdd33ns3/u1zn8Z7Pv1x3Pidb8ou3XgEwpZ15qFcwk/+75d4779/An9/6AG4Xclsv/GUlpTg39//IZSXlkLTNXznZz9B68lkBiAREVG+ZdyOF5UQ7TQP6xRsDc3zvl1ExS4xoCwwjFjUjOrKB4qtFBWrrodFNQ8zjwwcwFDrP8bEkk106Lq/4wn07fqRLPpKFgUlzZehat2/wupKTw5z4+qqUTm306XYSuQwNLmtolMzmBySTKMNdgVw3zeehxY2i9tLzm7AWW9fnVN3U2rhNjXfNq5pbfL3pH13f5oGk80tK5dGY+GWiCiLlrYsHDX469RC7oqU86ITN15wraqowP/798/isvMuQE1VlbwOMbhsycKFeO0VV+H8M8+Wl1u7chXe89Z3oK6mVkYkiOv/7Ac/MmXhNl44/uT7PgC7zYZgKIRv3PwjdPf1pvFfT0REND9sKVEJ0ZSO22jnyeRlGhfy4SDK4oAyMUAwn1hddahY8Y5Ed6rIpw10PjXpz2ihfnj3/hzDx+9NdLKKTNmqde9H6YKLYRm5rnSoWlwOm8tMx+zY1z+tonKcqzYlJm1oT9q2qZCEBiO49+vPyf8LDasrceH7N8qYilwhBt5FhlrlWrFXQHWOjUEoqXbB01gi192HBxANJY/YnFXh1mLhYLI0Y8YtEVEW2e123P6dH0z4/U+87/0Tfq+i3IN3v/mtU97Gxee+Qp5SfffL/zXmcv923fXylGr5kiW49Vvfm/I2iIiIcpniLoXiLoER8MuM27hoBztuiXKi41YUNQf6YK9rQj6xe5aifMnrMHjkT/L88PF7ZISCs8rsWI0TRdNgz/MYbr1bDjUzWeBueAVKWy6T8Qvppozk3J54sUcWF33tflQsKJ3mv2uZLPQZkQEgdFwOYFNc2R+0lSv6jg9i2093YbDTjNqpWFCCyz55Gqz29BXe00EWbWNaIiZhoiF3Ii7B1+FHTI+hc58XLZtn1vUd06KIdLQmB5M5zE50Sg8WblNe1MSJiIiIiHID980onazVDYgEDkMf6JXTry1W6+iO23pGJRDNN2tlTWKte/PzyC5X7WnQw/1yyJjIqvUd/j1U+3thKzVfU/TIIAaP3oXIQHJmhOKohGfpG2EvH320XbqJnFtRuI133U63cCvydUXXrb/tIVgQQ6hvO2zNl2Z0W/NB//Eh7PjzIRz9Z/IDQFeFA1d85gw4S+3INRHfwcTaPk6+bVzTuirsfdD8ILN9d9+MC7dRMeRzZCA2YxLSj1EJRERERERUPDm3sRi0/m7EDMOcgi26/qrq2CFUwOScgKVL0dzcPGHHGWWHWpFSuB2Y/WCkbCtZcCmc1ZvMM0YUAwd+BT3sRahvJ/p2fn9U0dZVezqqN3wk40VboXF15axybuMFadEVLIR6tsts3mLVf2IID31vB/78uW2jirbuSgeu/MzpKKudOoYuu/m2FtlFPZHGNSkDynbP/HkYTh1M1rx0xj9Pk2PHLRERERERFTxr9egBZaLjNhYJy/P2xpYsbhllmhj82tLSAofDkRgCS7kXlZDPhVvxgUD50jdAjwwgOtQKIzqMvp0/REwPjRpoVr7k9XBUzt/wqpolHlgdqhye1bHXzLmd7ocXqqMCNs9yRH0HZWRCZPCIPNy+mHhPDmG76LB9tlM0Uye4PHZses1SrL50Yc7FI8SJTm8taGa6W0sWQLG6J7yss9yO6kVl6GsdQl/rIELDkRl1EEdSCreOFhZu042FWyIiIiIiKp6OW1G4FQPKjGT3mK2BhVuibLBWFkbhVrAoVlSsuA79e26GHuobVbR1VK1H+eLXQLGZQ6Dmi2JVUL+yAm07+xDwhjHUHUB5/fS3wVWzVRZuhWD380VTuBUF2x1/Powjz3aMKdhufPVSrBEFW0duFmzjIr6UYuo0HrfGddWycCv+vR17+rHkzIbp39aJo+bCYoFtweLZbTBNiIVbIiIiIiIqiozbODGgLBZJFlVs7LgtaKLLcHBwEH6/X64pdygl5YDVBmhROZws3yk2NypWXY/+3T9BTAvAojpRtvg1cFZvzFpMh8i5FYVbQXTdzqRwa69YhZjigsUIIuzdAyMakP/GQuVtG5YZtkeeGV2wFR2pomC79rLcL9iOn2+7YsrLiwFlu+4+Jtcdu/umXbiNRSOJQZ8iK56DydKPhdsRqmqRJyIiIiLKDdw3o4x13PZ1QfcPJc6z47awGYaBHTt2yMLtwoULoar5UXgpBhZFgeqpgi6ekwP5OZzsVFZnDarXfxhh3wE4KlZBtZdndXsaV1cl1p17vVh1UcuMuohRuhoY3AHEdIT6XoS74VwUmgFRsL3zEA4/PU7B9lVLsOayhbA586d8JvKI4/m2FsUOW+nUj3nD6ipYFAtiRgxtM8i5jYiirREfTMaYhEzIn988IiIiIiKiWVLLK5OdfSIqQazjh3bWNfF+JcoSa0W1LNzGQkEYoQAUZ/53dKoOD9x1ZyAX1C7zQLUp0KOG7LidsdK1ZuF2JC7BVX9OwQz5G2gXBdvDOPJUu5hbmeAss2Hjq5ZizSvzq2AbF/bug6H55dpevhQWZeoPq+wuq/xd6T44AF+7H35vCCWVzil/LnLiSPI6OJgsI/LvN5CIiIiIiGgWnX3W6jpoXW3Q+s2BLYK1pgEW2/SHsBBR5gaUad4+2Bvzv3CbS1SbiroVFTK3dLg3iKGeIMpqXdO/AlsVrKULoQ0fl8OuNP/JaXVw5jJfh9/ssH1ybMF2w6uWYm2eFmzjAh3bEmtX/ZnT/jkRlyAKt/G4hOXnLZjRYDL7wmUz3laaGkdqEhERERFRUbDVmJl9sWhUnuTXOJiMKGcKt/k+oCxXicPg4zr3zbzrVgwpixNdt/lcsH30f1/CHz/9OA5tSxZtHaU2nPHWlXjL9y7CplcvzeuibWToOKLDrXKtuupg96ycUeE2rn2acQmJjltFga1p0Uw3l6Yhf38biYiIiIiIZsBancy5jeNgMqLsUitrEmvdWxg5t7mmcU0VzLADc0DZivOn7qRM5ahah+Hj/0DMiCDU9zJKF10NRXUgnwq2L951GIe2tY3qsBUFW5Fhu/byRXldrJ2o27ak8bwZxVqIzux4rIYo3IphjpP9vBGJINp5IjmYzJ4/vxP5pDB+M9NAhDCLExERERHlBu6bUbqJWIRTseOWKIeiEgpkQFmuqVteAUW1wNBj6JxFzq1FdcBZvRHBnudl8Tbcvwuu2mQXbq7ydcYLtu1y6FZqwXbDNWbBVmS7Fgot1Iewd49cK7ZSOKs3zejnrXYV9SsrZdF2uDeEoe4gyusnji6Jth8T0x/lmoPJMqdwfkOJiIiIiIgmYa0Zp+OWUQlEWR9OFseohAzdxw4Vtcsq0HXAi8GuwLQHT6Vy1Z0uC7eJIWU5XLgd7BIZtuMUbEviBduFsLtHBlQWkEDnkyIMSK7d9efCosy85CfiEuIxCeL/kxVuIydTBpO1MN82U1i4JSIiIiKi4oxKUFTYahuztTk0T8ShvosWLcLAwMCMDhumbHTcMuM2UxrWVMnCrSC6bped2zSjn7eWNMPqqpcDyqJyUFk3rK465BJRlH7xrkM4+MTYgu36axZjneiwLcCCrWBEAwj2bDfPKDa46s+Y1fU0rUvmIYvC7epLWqbOt2XHbUaxcEtEREREREXBWlUnqniIhxza6ppgsfItUaFTFAWLFy9Gd3e3XFNusTjdgMjGjITZcZtBjasr8dJfkjm3My3cig89RNftUOs/5Plg9wsoW3QVcsFQdwA77jqMg0+0IaYnC7Z2txUbrl6CdVcWbsE2LtD9rKjeyrWr9nQo1ok7ZSdTs9QDm0tFNKhPmXMbOXE4+SFoIweTZQr3UoiIiIiIqCiIIq1aUQPd2yPP2xqas71JREVPFIUsZZWI9XVCH+idciASzU7dykqZHS86UTv3zTznVnBWb8bQ8XuBmI5g73aUtrxyVofjp8tQj+iwPYwDj48t2K6/ejHWX7m44Au2QsyIItj1zMg5C9wN5876uhRVQcPqKpzY0YPQYAQDbcOobC4bczkjEka082Tib6lit8/6NmlyLNyOUBWLPBERERFRbuC+GWUq5zZRuG2c+BBQKhyiEOj3+xEMBuWaclB5BdDXiVg0CsM/BLW0PNtbVHDEEK6aJeXoOezDQJsfQV8YLo9jRteh2NxwVK5FuH8nYloA4YF9cFatR3YKtkdw4PGTYwu2Vy3GuisXy3iEYhHqfQlGdFiuHVXrYHUm4w5mQ+TcisKt0Larb9zCbbTtWOLoFebbZhYLt0REREREVFQ5t+GDu+Sag8mKg2EYeP7552Xxtrm5GaqqZnuT6BSy43ZkrXt7WbjNYM6tKNwKnfu9WHJmw4yvQ8QliMJtfEjZfBZuh3qCeOkvh3HgsZMwUgq2NpdZsBWnYirYCrGYAX/HtsT5ksbz5nydonAb17G7T3YuTxiTwHzbjGPhloiIiIiIioZ709nwP/swlNJyOFfMf6cYEY1lER23KQPK7C1LeTdlQOPqKuz8+9FEzu1sCrf28qVQHJUwwl5EfIeghwegOpKPXyYM9wbxoijYPjpBwVZ02JYWV8E2LuI7CD00chRJ2WLYSud+JElVSxmcZTaEhqLy98QwYlBOOUK90AeTGUYMR57uQOWCUlQvzu4RACzcEhERERFR0XCt3oSmL/4YissNxeHM9uYQkVCePLRbdNxSZtSvqhQRqBDtzZ17Z5dza7EocNWeBv/Jh+QVBXu2o7T5EmTCcF/QzLAdU7BVZbF23VWL4Swt7mzVYOeTibU7Dd22gshCblxbjaPPdiIS0NB31IfaZRXjF25VFfamwhtM9vzv9uPlvx2Vv2vX3nQBSqqyt7/Awi0RERERERUVa8Xc8v+IKL0sZaM7bikzRIxA9aJy9B0bRP+JIYSGI7MqfLpqROH24ZHC7QsoWXCRLOjOhKEbCPujCA+fcvJH5P9FLMKRZzpgaKMLtuuuWCwHjxV7wVYKdyE6ZHZQq84aOCpWpe2qRVyCKNwK7bv7RhVujXAI0e42ubY1LoTFWljdzmF/FHvuPy7X0aCOQ9vasOk1y7K2PSzcjhBTK09t/SYiIiKi7OFUcSKi4mApr0ys9QF23GZS45oqWbgVXbdd+71YtLV+xtchohHsnhWI+A7AiAxguGMf9NhCWfAKDUVGF2TFeihZkBWn0HAU0aA27duzOVU5cEzEIjjLWLBNGNyRWLobXzHj4vl0c27bd/ePKlxGUgeTNRdeTML+R05AC+uJ84e2tWPjq5dmbb+UhVsiIiIiIiIiyp6UjludHbcZ1bC6ErvuOSbXIr80Xrg1NAOhUR2wEVmE7ev04oTFh4hfGym6mgXYskonNlxgXufBh+7D9ntWp31bRcF27RWLsUF02LJgO4rIFkbgkFxbrCVw1WxJ631f3uCW8QD+/hA69/dDj+pQbeqYwWSOlux1omaC6ATfc3/rqK95Tw6jr3UQNYs9yAYWbomIiIiIiIgoayw2O5SSMhj+IUYlZFjDqmRUzP6HT+DYP7tkN6w4JHwm+o+XYuXpNjjcUTQu64PdGUUkZJsyO1UMERORDfL/pTYZeXDq1+LnPU2lsLtYthpPsOtpWETbtOi2rT8LFiW9cQWiu1R03R58og16xED3IZ/s1i70wWTHnuvCcG8oEc0Rf14ceqKdhVsiIiIiIiKidBMFiObmZgwMDDCCJYepFdWycKv7+hEzDFiU9B32TUnOcjsqW0rhPTGMaEhHNBSc8d1jUS1wlDjRfWIBWlYdg6LGsPnqMALBFaMKr44yO5wpBVmby8rnYBoYWhChnudHHgwr3PVnZ+RXvHFdlSzcxnNuxxRuVavMuC0ku0a60YUL/nUDHvnRSzJn+fBT7Tjz7augqPP/usSPLoiIiIiIiKhgKYqCZcuWobu7W64pdwu3UZGdaRjQB72wViQzNim9Nr9uObb9bCe0iCELrM4yUWgd6XxNOdndVoT1IGqbquEqdyQKsvECrBbciL6Xvyuvs2llO6o3XMvC7DwIdj+HmBGRa2fNFii2kozczuic2z5svXYFjFAQWk+7/Jq9aREs1sIpK3YfGkD3wQG5rlpYhsVnNqDlqQ60PteFoC+Ctl19aNlUO+/bVTj38BwpYjhZloKGiYiIiGgs7psRERVX4TY155aF28xZdk4jlpzVAFECmWzgkmEY8gOPurqacT/0sLpqYStdhOhwK/RgN6LDJ2AvK6wOzFwTMzQEOp8y1wBcDedm7LZKq10y63awMyCLmtGQBr3taMpgsiUoJLvuTnbbrr9ysXxurDivSRZuhUNPtGWlcMuPG4mIiIiIiKhgxWIxhEIhhMNhuabcZK2oSaw1b29Wt6UYKIolLd2xrrrTE+tQzwtzvj6aXKhvJ4zo0MidvxRWZ/J5k8mu25geQ9d+7+h824WFM5hsuC+Io//sTMSJLD23Ua5bNtfKLnPh2PNdiAS1ed82Fm6JiIiIiIioYImuwWeffRY7d+6Ua8qHjlsWbvOFs2o9LIpDrkN9L8PQw9nepIIlPngKdDyR/EL5lozfZmpcQtvuPkROHE6ct7cUTuF2z/2tiBnmB3trLlsIq12Va9WmYuk5ZhFXDGk79pxZ3J1PLNwSERERERERUc4UbjVvX1a3habPotrhrNko1yJ3Ndy3k3dfhkR8h6AFzcP2rSUtgMMsKGZS41pzIJnQIQu3Ix23VhtsDc0oBNGQhn0PnZBrxWrBmleOjvtYfl5TYn3oCTPfdz6xcEtEREREREREOZVxS/nDVZuMSwgyLiFjAh3bEmt3wytEQDEyTQylE4O6hIHWXmg9HcnBZGphjM06+EQbIgEzAmH5K5rg9pgd5HF1KypQXu+W6/Y9ffD3Bed1+wrjXk4DkbMtMl6IiIiIKDdw+DsRUfFQPZVmISoWY+E2z1hLFsDqboAW6ER0+Di0QDes7rpsb1ZBifo7EBk8JNeqowr2yjVAz/xEioi4hP7jQyhTkx+o2FuWohDEjBh23ZMcSrbuysVjLiOyoEXX7fY/HZIT4Q492Y5Nr5m/mAh23BIRERERERFRVonuPbW8Uq41ZtzmFVHYctVuTZwP9jyf1e0pRIHO0d22Fsv8lfPiObfltt6CK9yeeLEHg52BxL+zelH5uJcbFZewrX1eB12ycEtEREREREREOROXYAz5ENOi2d6cghXY+RzabvwA+v90a9oKUM6azYDFPKg72LsDMcM89JzmTg/75OA3waK64Ko9bV7v1obVlbAoFpTb+gpuMNmulG7b9VeN7baNK68vQd3KCrn2nhxGX+sg5gsLt0RERERERESUddbUAWXMuc0IIxJG/+9/KuMohrfdi6HH/pGW61Wsbjiq1sp1TAsg7N2bluslIND1tDimX94V7vqz5EC4+WR321C71INya29yMFl9/g8m6zs+iPbdZjG6vMGNls21k15+xXkLsjKkjIVbIiIiIiIiKujDuJuamlBbWyvXlLvUyprEmgPKMmP4qQdgDPsS5wf+9muEWw+m5bo5pCz9DC2EYPc/zTMWFa76s5ENTavcKLEOmdtU3gSLqiLf7U7ttr1ysewqnsySsxugWM3LHH6qHYZuFtMzjcPJRog/4PwjTkRERJQ7uG9GROmgKApWrFiB7u5uuabcpVakFG69ycOyKX3dtoMP/+WUL+rovf27aPjU16GWlM7p+u3lS6A6KqGHvYj4Dsn/i/M0e8GeFxDTw4k4CtVelpW7s6F2CPEy5XAs/wfPBXxhOWRMsLutWHFBspt2Is5SO1q21KH1uS4EfRG07epDy6bJu3TTgX+1iIiIiIiIiCjrrJWpUQnJQUiUHsNPPyjzgwXXhjPhWLJKrnVvD/rv+N85592KgVnOxJCyGII92+e8zcUsZugIdD6VOF/ScF7WtqUEPYl1V192isfptO/B4zA08/d99aUtsDmn19e6InVI2RNtmA8s3BIREREREVHBEsWoSCSCaDQ6r5PAafbDyQTdy8JtOhmRCAYfSnbbeq58M6rf+TEoJWYRLrjr+bTk3bpqxOAs83ByUbiNjWSz0syF+nfBiAzItb1iFazu7HW66u1HE+ue/nIMdQeQr7SIjj0PHJdrEY+w9vJF0/5ZkYPrKLXJ9bHnuxAJZn4IHwu3REREREREVLAMw8DTTz+Nl156Sa4pd1lTohI4nCy9/M+IbluzCOjaeCbsTQthraxB9ds/lLjMwN9F3u2hOd2O6vDAXrFSrkXRMeI7PMctL07iQ6ZAx7bE+ZLG7HXbCuETR+T/9ZgVft2TGOqVj4481YHQYESul5zZgNJq17R/VrWpWHp2o1zrEQPHnutEprFwS0RERERERERZp5SWAyNDjzicLH1i0ciobFvP5dcm1q61p6HskteYZ3SRd/sdGIHhOd2eKxGXILpun5/TdRWr6OBRaAEzg9Va0gRb2ZKsbYvuH4be3y3Xg9EqxKDkbeE2FothZ+pQsqsXz/g6lo+KSzAfo6IbTvajH/0IN910Ezo7O7Fp0yb84Ac/wJlnnjnuZW+55Rb88pe/xK5du+T5rVu34qtf/eqEl5+IoljkiYiIiIhyQz7tm2Vj/5WIqNBYFEV23Wp9Xey4TaPhZx6G7vPKtWvDGbAvGF2sqrj6rQgf2Y/Isf0y77bvt/+Lmn/591nfnqNiNRRrCQzNj7B3L4yoH4qtZM7/jmLi73wisS5pPD+rA1sjJ81uW2E4Zg7jEoVbUQTNt0GyHXv64T0xJNd1yyvkaabqVlSgvN6Nwa4A2vf0wd8XRMkMunbzvuP2d7/7HT75yU/iS1/6ErZv3y53fK+44go5AXQ8jz76KN72trfhkUcekYe/tLS04PLLL0db2/yEBBMRERFRceP+KxFR+nNuY0E/jFCQd+0cxbQoBh+6a9xu2ziLakXN9R+D4i5N5t0+fvesb9OiqHDWnjayATqCvTtmfV3FSAt0IzJwQK4VewUcVeuyuj2RE8m4C6XOLPoHfREMtM2tMzsbdt59dE7dtoIoVie6bmPAoScz23Wbc4Xbb3/723jf+96HG264AWvXrsXNN98Mt9uNW2+9ddzL//rXv8YHP/hBbN68GatXr8bPfvYzmVv00EMPzfu2ExEREVHx4f4rEVGGBpQN5Ofh2LnXbdsv1671p8PePP4h92be7YcT5wf+9n+IHD+UpriEFzgYcAb8nclsW3fDubBYzPiQbImM5NsKZWtWJdb5Fpfg6/DjxI4euS6tcWLxGfWzvq5RcQnb2jP6+51ThVsx6fOFF17AZZddlviaoijyvOimnY5AICCnhVZVVWVwS4mIiIiIuP9KRJRu1spk4VYb6OUdnOFu21Sudaeh7OJk3m3fr76HWCgwq9u2umphKzM7GvVgN6LDJ2Z1PcVGjwwh1PuiXFtUJ1x1p2d7kxKFW4vdgYYzVie+3r7b/EAgX+y+N5ltu/byRVDU2ZdEy+tLULfSjFnwnhxGX+sgiiLjtre3F7quo75+dNVbnN+3b9+0ruOzn/0smpqaRhV/U4XDYXmKGxw079yGxnKUl5fPafuJiIiIKH1KMrcPXBD7r+IoM3Gi3CEeD9F1w8clNx+X+GPDxye3nzeKJ6Vw29/Lx2uu3bYjXcvOtafBumDxlPdn+VVvRvjIXkRaD0Lv74Fx96+hv+9zs7p9Z81piA6ZxbJg93OwljTP6nqKSaDzaRkvIThrTwcstnEfs/n6e6MPD8rcY8HWvASVC8vgKLUhPBxFx54+aJqeFzMJwv4oDjxuRqpaHSpWXLhgzvfd8lc0ofvAgFwffLwNVQvL5Drdj0lOFW7n6n/+539wxx13yNxbp9M57mW+9rWv4cYbbxzzdatVkSciIiIiyg3FsG82l/3Xnp4eecQa5Q7xZs3n88k30+LIQcqdx0U8v8T/xfPGai2ot8EF97wxLMnHx9fWCv8E825ocjFdQ/SBPyfOa6dfMuHsoDE/e/U7gF98AwgFEDu4E133/hHWMy6e+V1u1Ik2TVhiEQT7diLoOkOEtvKhm/D+igJdz0CUQWNQEFBXIDDBYzZff2+MI3sTa62qAT29PahcWoLOlwcQCWg4tKMVFS1u5LpDD3dBC5sF8eYzKuHzewH/3K6zdKkKRbXA0GM49GQbFl1aKc+LxyWdcuovVk1NDVRVRVdX16ivi/MNDQ2T/uw3v/lNueP74IMPYuPGjRNe7j/+4z/k8LPUjgUx0EzTDHkiIiIiotyQD/tm2dx/ra2tRUXFzKchU+aIN9JiaIl4bFi4zS11dXWyaMvHJvefNxEtiHipyhkNoaquLstbmJ+Gn34QA4NeuXau2YKaTTM45L6uDsF3fAh9P79JnjUe+ysqNpwO+8JlM96OodAmhHqegyUWRanaCZfoIqVxBbuewbBhHmHjrN6I8qalWf97M/jyk4gfAFWxcj3cdXVYclpIFm6FUEcMdVtz+zlqaAYeeWqkAG0Btr5uNTx1JWm57pbTutD6XDfCQxq0bgXNm2pht9sLt3Ar/nFbt26Vg8Ve97rXya/FB419+MPJkOxTfeMb38B///d/47777sPpp0/+IuBwOOTpVF2dgwjMsdpOREREROkzNJT7WQnZ3H8Vb9RYHMw94o00H5vcxMcmPx4be1Vt4uv6QD9f52YhpmkYeugvifOeK9404/uxZP0ZCF/0Kgw/+veRvNvvovHT34DimlnBy113uizcCuHe7SipP3NGP18sYjEDwa6nEudLms6f8jGbj9e06MmjibVj0XJ5WwvW1yS+1rmnH5tfM/OC/nw6+kIX/P0huV64pQ6VTWakQTqsOK9ZFm6Fw092YOGW+rQ/Hjl3/I7oJrjllltw++23Y+/evfjABz4Av9+PG264QX7/+uuvl10HcV//+tfxhS98AbfeeisWL16Mzs5OeRoeHs7iv4KIiIiIigX3X4lymziUWGRRi1MmJ39TelhcJXIIkqBzONms+J9/PJFL6ly9WRbcZsNz9VthaRoZMNbfg77f/njGzyFryQJY3eYRKGJAmRYYfYQKmcL9e6CHzQ5pu2c5bCP3WbZFThyW/7c4XLDWmNvkaSyBu9J8jnbu90LP8SOkdt2TLD6vv8r8fU6Xli21MvNXOPZ8FyJBDemWc4Xbt7zlLfKwsS9+8YvYvHkzXnzxRdx7772JgQ/Hjx9HR0dH4vI//vGPZbbXtddei8bGxsRJXAcREREREfdfiYqb6ILftm0bduzYwUFXeUB0EaqVZkefGKzFYvvMs219Kdm2niuunf1joVphfe27ZTFdCO78J4afuGdm12GxjIpHCPY8P+vtKVTid9zf8UTivLvxfOQCfciXGG5nb14Cy0gnqXhMm9aZQwRFbmzPITM2IRd1HfCi55CZOVu1qAyNa6vSev2qVcHSsxvlWo8YOPbPTqRbTkUlxInDyiY6tEwMbkh17Jg5oXCuxBS8fJiER0RERFQs8mnfLBv7r0REhcpaUQOtqw2xaASGfwhqaXm2Nylv+J9/Anq/eei2c9UmOBavnNP1WcqrUPW2D6LvVjPv1vvXX8G+eCUcC6ffxeus2Yyh4/eKDAcEe19EacsVsCg5WY7KiuhwKzT/SbkW3cn28tyIHoicPJJY21tG5+2Kwu2hbe1y3b67Dw2r01sQTZdd9yT3udZfuVgWndNt+XlN2PvgcbkW90ndprk953K+45aIiIiIiIiIipdaYXbzCfGOP5paTNcx+GB6um1TudZtRdnFrx55QHT03v5dGMHpDwlSrC44q9aZ26gFEPaODIoiKdCxLXFPuBvOy0hxcS4xCRMVbuNE4TYXDfUEEx2wLo8dy841O2PTrW5FBcrr3XLdvqcvkaebLizcEhEREREREVHOsKYUbjUWbqfN/8IT0HrNDFnnyg1wLFmVtsek4pq3wb5ohVyLjt6+O2aWd+uq3ZpYB7sZlxCnBXsR9u6Ta8VWDmf1BuSKyInUjtvRXcClNa5EsbL74ACiofRnu87VnvtbEf8VXfPKhVBtakZuRxTaRdetFAOOPpuMd00HFm6JiIiIiIiIKGfEM24FDiibQbdtSrZt+RVvSutjIvJua67/OBT3SN7tyyLv9t5p/7ytfAlUh3k4fWTwcGIQV7ELdD5pVvtkt+05ORUhES/cWpwuWKvNuVPjdd0aekxmyeaSaEjD/kdOyLVqU7Dm0oUZvb1E4RbAkWfSO4CPhVsiIiIiIiIiys2OW29vVrclXwS2Pwmt1zws3LFiPZxLV6f9NqxVtah624cS571//SXCx5OH00/GYlFSum5jCPa8gGJnRP0I9myXa4tih6vuDOQK3eeF7uuXa3vz0sRgslSNo+ISzMvmigOPtSESMLuAl72iCS6PI6O3V15fgrqVFXLta59+jMh05E4pP8s4nIyIiIgot+TTcDIiIspUx21u5mfmkphhwPfAn9KebTse9/rTUXbRqzD06N9H8m6/g8ZPfx2Ky+zEnYyzdguGTz44UrjdjpIFl8iCbrEKdD0jB7YJomgrsoBzxejBZOMPS2taW5WTObcxI4bd944eSjYfVpy3AN0HBtJ+vcX7DCEiIiIiIqKCJ/IHa2pqUFlZmTNDf2gGw8m8uVMQylWBHU9C6zFzNR3L18G5bG1Gb6/iVW8/Je/25mnl3ap2D+wVK+XaiPgQ8R1CsYoZUbNwKykyJiGXjM63HT2YLE50sVa2lMl131EfwsNR5ILjO7ox2BWQ66b11ahaaG5jpi05uwGKNf1/Y1i4JSIiIiIiooKlKArWrVuHZcuWyTXlPsXugOIulWsOJ5tGt+3989NtO3He7bMY3nbftH7WVXt6Yl3MQ8qCPTsQ08ziorN6PVRHJXJJ+MThKQu3QtM6s+tW1O079+VGXMKue1K6ba+an25bwVlqx8ItdWm/Xv7VIiIiIiIiIqKcjEsQOZuiOEnjC7z4FLTudrl2LF0DR4a7bSfMu/3L9PJuHRWroNjMonx4YB+M6DCKTSxmINC5LXHe3Xgeck1iMJmrZNzBZKcOKBPaciAuoe/YIDr2mAVkT2MJWjbVzuvtLz9vQdqvk4VbIiIiIiIiIsrNAWWGDn0w/bmRhdptO59xIPG8W0nX0PfL78IIml2kE7EoKpw1p5lnYjqCvS+i2IS9+6CHzCKnrXwpbCXpL/bNhebrhzE0kBxMNsnvVOOaKsS/3ZEDhdtdKdm2665cBMs8z0to2VILR0l6x4lxONkI8YvIvCMiIiKi3MF9MyJKB13X8fjjj8Pv9+OKK65gXEI+5twO9MJakRyERKbAS89A62qTa8eSVXCsWD/vd03FNW9H+Oh+RFoPQuvrQt/vbkbNuz4x6d9wV+1WBDoeT8QluBteUVR/81O7bUtyuNtWcEwSkyDY3TbULPWg57AP3pPDCPjCcHscyIbAQBiHnxrpPi+xYcX5818QV60KFp1eD9yevutkxy0RERERERER5RS1woxKEPSB7Hfy5WK37WBKt235FW/KSvHTYjXzbsUh9ULwpWcw/OTkebdWVw1sZWb2qB7qQXT4OIpFdPgEokOtcq266mD3mEPe8m0w2URxCdnsut374HEYmjkkb9UlLbA5s9OruvSchrReHwu3RERERERERJRTrCMZtwIHlI0lBoJFO0/ItX3xSjhXbkC2iLzb6rd9MHHee9cvRxX/phxS1lM8Q8r8HSndtrLTOPfKcpFRg8mWzahw256lwq0W0WXhVrCoFqy7fCGyRXQgp1Pu/YYQERERERERUVEbFZXg7c3qtuRmtu0fs5ZtOx73hjNQduE15hldQ+/t35k079ZZtQ4W1TykPtS3E4YWQqHTQv0I9++WazGgzVmzGbkmFosliu6KuxRq1dTDvepXVkKxWrJauD38ZDtCgxG5XnpWA0qqXciWdD8XWbglIiIiIiIiopxirUwWbrUBFm5TBXf+E9GOkW7bRSvgXLUJuaDiVe+AfeFyuRZ5t/2/u1kWAsdjUe1wVo9stxFFqH8nCl2g8ylRGpVrV/3ZsCi5N3ZKF4PJhn3TGkwWZ3WoqFtRKddD3UEM9Uw+oC7dYrEYdt2TOpTMjOEoFLn3W5IlimKRJyIiIiLKDdw3IyIqXqqnSrSuiaoMM27HdNv+Kae6bUfl3b7r4+j45mcRC/rl8DTHk/ej7Lwrxr28q+50BLv/mRxSVncGCpWhBZKREIoN7rqzkItGxSQsnDrfNm7Bump07u1PdN2uusiN+dK+q08ORhPqVlagbnkFCgk7bomIiIiIiIgop1hUK9QyswCjeTmcLC6463lE283hVvaFy+BcnVuH21ur6lD9tg8kznvvun3CvFtbyQJY3Y1yrflPIhroRKEKdv1TdhYLrtqtUGzzV9ic/WCyqfNt4xpH5dyaBdz5siul23bDVYXVbSuwcEtEREREREQFS3QjVlVVwePx5ExnIk2POjKgzBgaQEwzi17FTBwSPirb9vI35eTvtHvDmSi74Opk3u0vvwMjFJhySFmo5wUUopihIdD19Mg5C9wN5yJXjSrcNk+/47Z2mUdGJsQ7bieKyEi3gbZhnHixR65La1xYdHo9Cg0Lt0RERERERFSwFEXBhg0bsGLFCrmmPB1QNjC/XXy5KLj7BUTbjiW6IZ1rtyBXVbz6OtkRLGi9Iu/2J+MW85w1m0TGglwHe3fIImehCfW+CCNqHsrvqFoHqzP5e517g8nMqASlpCzxwcl0qFYFDaur5Do4EMZAux/zYfd9Zve5sPaKRVDUwnuNL7x/ERERERERERHlPWtK4VYbKO64BNlte98fEufLL39jTnbbjsq7vf4TsLhK5PnAi09j+KkHxlxOsbrgrFon1zEtiLB3DwpJLGbA37Etcb6k8TzkKt3bC8M/lPhgYKa/X03rzMKt0LE788/X0HAEB59ok2ubU8Xqi5tRiDicbISYS8bZZERERES5g/tmRETFbXTHbS+KWWjPdkRPHpVrW/MSuNZtRa6zVpt5t723flOe9955GxyLVsDevGTMkLJQ30uJIWXO6o0oFBHfQegh81B+W9ki2EpbkKsiJ1PzbacfkxDXlJJz27a7D2svX4RM2v/wCWhhXa5XXtgMu9uGQsSOWyIiIiIiIipYuq7jiSeewPbt2+Wa8oc15VDtYu64NbttU7Ntr83pbttJ825v//aYvFtb2RKoDrNbMzJ4GHqocGIxUrtt3Q25220rxGMSZlu4rV5UDkeJWTzt3NMPw8hczq2hGdh9/0hMggVYd2Vmi8TZxMItERERERERFTTDMOSJ8otaUTPqMO5iFdq7I1FUsy1YDNf65ECvfDBV3q0oQqcOKQv2bkchiPrbEB00u1hVZzUclauRyyLHUztuzcdrJiyKBY1rzQJ82B9Ff+sgMuXoPzsR6A/L9aLT6lBeb0ZyFCIWbomIiIiIiIgo5zDjNr+7bcfk3TrdE+bdOmu3JEpUwZ7tMhs23wU6nkys3Q2vgMWSuyU4OZhsJCpBKfVA9STzamcbl9C+qy9j27rrbnNIn7D+6sUoZLn7W0NERERERERERUsp8wCqKtd6kUYlhPa9hMjxQ3Jta1qUd922o/NuP5g4773rdkRGMnsF1V4Oe8VKuTYiPpkNm8/08ABCfTvl2mJ1w1UjCtO5S+/vgREYTsQkzPbDgVGF2z2Zec52HRhAzxGfXFcvLkfD6tkVmfMFh5OltHQrnIBBRERElFP7Z0REVLwsiiI7/0RRqRiHk5ndtn9InPdc/kZ5n+Qr90Yz73bo8bsBLYre27+Dhk/9D5SRTlwxpCwysE+ug90vwFGxCvkq0PmUKEHLtbv+bFhUO3JZ5MTcBpPFeZpK4K5wIDAQRuc+L3TNgGpN7+/srnuSBf/1Vy7Ouw70mcrfZzwRERERERERFcWAMiPghxEOoZiE9r+MSKvZeWprbIFrw5nIdzLvdiQ/VevtRP/vf5rIu3VUrIRiK5Pr8MBe6FGzAzTfGFoQwe7nzDMWK9z1ZyHXjR5MNvN82zhRRG0c6brVwjp6Dg0gnYZ6Amh9rkuuXRUOLD23EYWOhVsiIiIiIiIiyklqRfLQ62Lquh032zaPu21H591+PJl3u+MpDD/9oPk9iwpnPFIgZiDUuwP5KNj9PGJGRK5dtVug2EqR68Jp6rgVFmQwLmH3fa2Iz7Vb+8qFae/mzUWF/y8kIiIiIiKiolZRUYGyMrOTj/KLtcLsuBU0b/Hk3IYP7ETk2H65ttU3w7Ux97s2p8taU4/qt30gcd57522ItJnDplx1W0cVQA0tgHwSM7SRmATBIoeS5bpRg8nKKmCd5WCyuHjHrdC+ux/pEglq2P/ISblWbQpWX9qCYsDCLRHRFD76hf/CBW+4Tp46u8d+yv/YM88lvv/9n/+K9+cp3vxvH5f3jbgfiYiIiOabqqrYtGkTVq1aJdeUzx23fUXZbVue59m243FvPAul519lnhnJuzVCAVidNbCVLZFf1kO96Nn+Pxg4eAfCAwcQi5mZsblMDCQzooNy7ahcDaurFrlO6+tCLOhPS7etUFbrQlmdS667D3plZEI6HHjsJKJBTa6Xn9cEV7kDxYDDyUZYxH8FHmhMRLNzyXnn4MXdZkj+Y8/8E2997TWjvv/oU/9MrC87/xy+lkyIr7NENPP9MyIiKm7xjFtBK5KohPCh3QgfNd9/WOsWwL35HBSiytdch8jR/bLbU+vpkHm31e/8GEoaz8PAkOjAjQExHeH+nfKk2D1w1WyGs/Y0WeDNxYJ7oHNb4ry78Tzkg9TBZI455NumalpXg/3dJ2BoMXQe8KJ5w9weL8OIYfe9Zle2sP6qxSgWhfWRDRFRBlx0zpmJ7oyHn3x21PfCkQieet7MXmqsq8W6VSvmfHvhsJmHRERERERU7Iqx49Z33x8Sa08BdtvGWaw21LzrE7A4XYm8W//TD8lO1eoNH5UxAxZrSeLyRsQHf/tj6HvpO+jfcwuCPS/A0MPIFZHBw9ACnXJtK2mBrXQR8q1wm46OW6FpXTJuoWP33J+3x1/oxlB3UK4XbKhGZXPxRN+w45aIaAqVnnKctmEtnntxJ/YePIzO7h401JmHvDy7/SUEQ+Z020tecXbiZx558ln88R/34dCxVmiajpYFjXjtFZfidVdcmujIvfWOP+EXv/uzXH/vK5/HHX+5Gy/u3ovTNqzD4WPH0dnTi/WrV+DHX/ty4nrFZX5026/l+pab/h9WLx/7h/XBJ57Cjd/+kVz/8L+/gE1rV+Nw63G8++P/Ib/27S99Dmds3oAT7Z14+4c+Jb/2kX+5Dm9+tXmo0v7DR/HLP9yFl/buhz8QQG1VFS485wzc8JY3wu1yyssM+f34zk9vw4HDx9DnHUAwHIanrBQb1qzEe956LZYsbJ70k+j/993/xQOPm9lPH3vv9bj2miv4e0hEREQZoes6nn76aQwPD+PSSy+FUqBFsEKlpmTc6t7C77gNiW7bw3vl2lrXBPeWc1HIZN7tWz+A3tu+Lc/33/kL2Bcth33BYpQtuhqlLVcgPLAfoZ4XZFwCYMYlRIeOyZPl2N/hqFoPV+1W2MoWZfXox0DH6G7bfDmqO3LicGJtb05P4XZ0zu3cC7e77jmaWK+/yozSKBb8i0VENA2XphRlH306GY3wyFPJDtxLzzcv84vf/Qlf/Ob38fLe/QgEQ4hEo7IQ++2f/EIWO8fzhW98H0+/8CKCobD8Ay+KvMKufQdxvK09cbnHRm576cLmcYu2wuZ1axJr8fPCzr0Hkl/bb6537ts/5mdEcfoDn/syHn/2efgGh2TRuaO7RxaMRUat6DAWhv0BWXhtbWvHcCAg3xD1D/jw2NPP4cP/3/+Dd8A34X353VtuTxRtRcGYRVsiIiLKtGg0Ck0zsxEpvyjuEljsZpalVgQdt6nZtp5XvqFgu21TuTedjdLzrzwl79bsrrQoKpxVa1Gx6p2o2fIZlC68EqqrLvGzMSOCUO92ePfeIjtxh9segR6e+L1IpkQDnYj4zPdeqqMSjqq1yAcxw0gMJlM9VVA9lWm5XrfHgcqWUrnuPeJD2B+d9XX1HvWhc59Xrj1NJWjemHsxGZlU+K8ARERpcME5Z8BmtY6KS0iNSVi0oAkrliyWRc7bf3+X/NrVl1yIv972Y9z3m5/hDVe9Un7tznsfxJHWE2Ouv6y0BD/75n/hgTtuxQeufyuuuewi2G02+b1/PPSY/H9PXz92Hzgk11defMGE21pTVYnmxnq53rXPLNLu2m/uRIiicLyIG/9/qduN5YsXyvW3f/oLRDUNK5cuxm//91t46Pe34T8/9oFEJ+4/HnzU3N6SEvzXZz6OP93yfXmZ+3/7c3zmg++V3xscHsYDT8QnqY72s9/8AX++5wG5/tC735Ho8iUiIiIiGo/Yf43HJYioBHH0VqEKHd4j820Fa20j3FtegWJR+Zp3Jro9Zd7tH3465rFW7WUoaTxfxihUrXs/XHVnwKImB1Tp4T74Tz6I3hdvgnffbQj1vYyYMfuC4ay7bUXEgyU/ym1yMNlIkTxdMQlxTWvN5614GDv39c/6enbdMzrb1qLkRydzujAqYYToYM+TLnYiyoLy0hKcuWUjnnxuu4xL6OrpwYEjrbKjVrjkvLPla4joWNUN8/Cdux9+TJ5OtWPXHixb3DLqa+97x5uwerl5yMei5ib5/4tfcRbue3SbPP3rdW+Wg9HEzouqKLjiIrEzMPH2iniEkx1d2HXgkLyc6Lytq65CZYUHew4elhNZ48XcjWtXQlUVHG/rkD8jHDhyDG/7oBmjkGr7zj144zWXo6zUjc6eHvzyj3fhRHuH7BROJb526vbtO3RERkEIH3zX2/C21109jXueiIoZ982IiEiwVtRA625HLBKGEfBDLTE7+Qq527ZcdNuOzNkoBvG8245vfUYWEgPbn4Rz+TqUnnPZ2MtaLLCVigzZFpQtugah/j0ySiEyKDpHRbE3JrtfxcmiuuCs2SijFKzupozEF+gRnywSy20Tt1d7GvLFqJiEdBdu11Vj932tibiERVvN5qKZCHhDOPJ0h1w7Sm1Ycd4CFJv8+AiAiCgHXHpeSobtU/8cFZNw2fnmpNeBwcEpr0d0pJ4q3vGa6g1Xm126IkP2mRdexKNPmTEJooBcXVkx6W1sXm9GHwz4BmVkQ1tnl8zL3bB6BfyBoCygtp5sHxWTMJNt/91f78EPf/FrWeA9tWg70YC1UNi8nOhc3rh21ZS3RUREREQkqJWpA8oKM+c2dGQfwgd3ybW1pgElp52HYiPzbt9iHu0n9P/xZ+j/063Qhyd+n2JRbHDVbELlmn9BzeZPoWTBpTKqIC6mBxHsehb9u/4X/bt+CH/HkzCi/rRud6DzGXFDcu2uPxNKShdwXg0mS1O+bVzDmqrEh/Czzbnd88BxGLrZeb36khZYHcXzYUYcO26JiKbpvDO3wmG3y4iE+x97UhZD40XXeJdsRXl54vJf/tSHEwXdONExO96nvOJ6T7Vu5XKsWrZERhT835/+hj0HzZiEqy6ZOCYhbsu61Yn1b++6W/5//eqVqKrw4I//uF9+LX7o0aaRy6Zu+2uvuAT//oH3jLne+M+I4WuC3W7DD//rC3I7W0+24fqPfW7CbWppapTDzkQW7mf/65v48f98CQsXmPcbEREREdFE4lEJgubtlYOrCs1gEXfbpnJvPhulh6/E8LZ7AcOQ//c//xg8l70BZRdcBYtt7PumOFGwLW2+BCULLkJ08BiCvS8g1L8bGIlL0AKdGD5+N4ZP3AdHxSrZhWuvWAGLZfb3taGHEewemYFiUeGqTzb75F3hNs0dt44SG2qWeNBzxAfviWEEfGGZfTtdWkTHvoeOy7VFtWDt5YtQjNhxS0Q0TW6XE+ecvlmuDx5NxiRcmlKcPXPzBhllIPz8t3+S8QDRqIbu3j78/cFHccMnPj+j+zvedStiDQwjJrNwzztz6kNvGupqUV9r7uA++dwL8v+i21Z03QrPbH9J/t/ldMqiq7BwQSMWNJiHr9zzyBN47JnnZJfs4NCwjIj47H9/Cy/u3ie/LwauCRZY5P0y7Pfj1jv+NOk2iS7hr/9/n4LT4YBvaBif/PLX0dtvhswTEREREU0WlRAncm4LTfjYAYQOmIfaW6vrUbL1fBSzyte9C54r35wYSieiEwb+/mu0f+0T8G/fJgdqTUbky9o9S+FZ9ibUbvkcypa8DrbSlCMcYzrC3j0YOPAr9O74BoaO3wst2D2rbQ12P4+Ybr4vdNZshmpPNsPkx2Cyo4kPR9SyyY/qnI3GdckPXTr2zCzn9tC2doSGzPedS89qQEmVE8WIhVsiolnGJcRddl6ycNtYX4t3vfl1iZzX9376C7j4Te/CG977UfzPD2/BoWPmJ4bTJa67vCyZ4XXpeeckhpZNJR6BIAq+oqN3xdLFaKitQW11ZaJzVhRzrSmf5n/6/TfAalURiUTx//3Pd3HZW/4FV7/z32TRVhRv4z/3ijPM4rHoPr7uI5/BNde/HwePTv1vW7NiGb70yQ9CUSzo7OnFp77yDQz7AzO6T4iIiIhmqqysDG63m3dcnlIrC7tw67vvD4l1+StfX7TdtnHi3++54lo0fv57KDnrkkTove7tQd+vvo+u7/1/cpDbdChWJ9x1Z6Bq3b+heuPH4W48H4ot+f7KiA4j0PEE+l7+Hvp334xA9z9haGYhdiqxmI5AZ3Ioc0lDfg2T03o7EQtnZjBZXNO6qsS6fdf0n7vifeeooWRXm81GxYhRCSPEVLpim0xHRDMnCpZulwuBoPkHbu3K5WhqrBt1mfe8/VosWdiMP/79ftmZq+kaaqoqsXLpYlx4zhmJ15rUxISJXoOcLgeuufRC/Pauf8jz11x2wbRfq7asXyMHmwlrViyFzWa+5G9YswoPb3smkYWben1nnrYRP/nGjfjlH/6Cl/bsl520lR6P7MY9/6ytWL1iibz89W9+LfzBIB547EmEIhGcvWUj3vHGV+O9n/rCyD8o5d9jSRkCqVhwwTln4CP/ch2+97Nf4fCx4/iPr30b377xc9MuSBNR8eC+GRGlg6qqOO2009Dd3S3XlH+sqVEJBZZxG249iNA+82g4taoOJadPHYtWLKyeKlS/9f0yImHgb/+XuJ8ixw+j+4dfhmvDGah41Ttgq5te/JrVVYuyhVeitOWViPz/7d0HeBTl1sDxs7tphPSQRu8gTXrz0gRB8KII3ovYUNALKnwilyIqxY6gV1GwXQvXgojYEREUBAtFilRBagIkoaZ3kv2e993sZpeEnmRnk//PZ93Z2dnZd2eYZHL2zDnJeyXrxGbJSd7tqE+bl35Y39Jil4pfaHOpEtFWvIPq6QzekuSc3ikFucl62ieksXj5X3rzLeM0JmtQJu8R3SRMzBaTrlObsOviA7dHt5+U5KO2/ipRTUIlon6wVFYmqz19qpJKTU2V4OBgORyXKEFO9R0BwCie/M9rOgDboE4tef/V5909HAAo1/O0WrWjJSUlhfO0Es5fk5KSJCSk9C9rxOUrKCjQwcHIyEgxF5ZOgjGwbzx73xTkZMuRR+7S0771r5KosU9IRXH8reck+88tejps6CgJ6NxbjMJox03W7j8k+esPJS/B6Uo/s0UCul6nM3QtAZce01GNyrJPbZWsE5t0DdyzmX1DpUq1NjqI69L0zGqV0ztfkzMZtobPoU1H6vIMnrRvkr6YL2lrbP1QIkY9KlWa2soClrYlT66TxN22EnlD5/SUwIgqF3zNsud/lyNbbV/S9B7XRup1jBZPkZycLKGhoaV2/krGLQAY1FMvvSa/b90hp07bvsW945Yb3T0kAAAAoNyZff3E7F9VCjIzKlTGbU7sPkfQ1hIaIVXb93D3kAxNBRb9GreSjN9/kpSln0h+apLqDnZJDczOZvauKv7RXaVKVBc5kxmvs3CzT24Va77tCsuCnCTJOLpS33yC6otfRDvxC20meRlHHUFbL//qOjPX09jr2yo+Ncsu6Fy9ebgjcJuw85QE9qx53uWTjqY7grYBEVWkTnvPymQubQRuAcCgjp04pYO24WEhMmRAX+nbw7NqJgEAABhBfn6+bNiwQdLS0qRXr16GyBzEpbOEVNOB2/yU07qpkqkC7MeU5Ysd08F9bhaTFyGaC1H7PaDTteLfuqukrfpGUld9LdbcHEcDs7Rfv5eQG24T/zZdL+nfiMlkEu+qNfRNlVPISdqts3BzU/ap/Fq9TG7qAX1Ls/iK2auoZrZ/zN/06z2JrTHZAceXBpeTrXwpgdvNn6ntKBK/65Q0vkDgdueyotq2zfvV0f1RKjN+KgCAQc19trBeLAAAAK5Idna25ObmshU9mOp6nxcfqyLxUpCWIpbgosvWPVFO3H7J3rXZ0Xytasee7h6Sx2VhB1//Dwno0keSl30iGetXqfoFkp90Uk59+Iqkrf5WQm66U/waNLvkdZvM3uIX3lLf8nNSJPvkFp2Jm59jq9Fqzc+R/Pwc2zh8gsUvrIV4mjPH43XAuywbk9lFNAwRL1+LnMnJl/idp3SZiXMFurPTcmXvz0f1tHcVizS5QJC3MiBwW8hU+B8AAACMgXMzAICdV2g1x7Qql+DpgdtUp2zboN6DyLa9TOrfQfjQ0RLYbUBhA7M/HI23LqeBWbH1+wZL1Ro9xb96D8lLj9VZuDmndoi1wPZFUNWYbmIye17Tw9zDtmzb8gjcWrzMEt0kVI5sOymZSTmSEp8hITUCSlx294+HJT+3QE837lFTfPxpYO351xYAqNTUt3V3j5siXW8cJouXfC+e6u0Fi/VnULeEYycu+fWr1/2u16FuZ3v65dcd63a3zdt3Ocby7Y+rz7uset6+rHrdpdp/KE6/ttctw+XkaVtNJQAAAHhuxq1dftLFd6c3atAsa+cmx+cK6NTL3UPyeD7Va0vkqEclYtRj4h1T2zE/a/vvkvD8v+X0Z+9KfnrqZa9fZYj6BNaV4PpDpFrbRyS44VAJbnirVInqLJ4o5/B+x7RPrQZl/n6qXIKdKpdQkvwzBbJreaztgUmVSahb5uPyBARuAXi0H35eK38dOCQhQYEy8LrKe8Lz87qN8u7Cz/QNNg3q1pYu7VpLTm6uvLfwczYLAACAB/NyCtx6eoOylGLZtmQVlpYqTa+W6AmzJOzW0WIJKszKLmxgFv/MWEn98Sux5l1Z2RSzxVf8wlvpUgqeVtu2xIzbmvXKN3C7s+TA7cF1CZKZbCvfoBqSBUUV1RGuzAjcAvBoC79aqu/7dOsivr4X3z20rOXkGKeG2uPj7pffvv5Y3zzJDb17OMbdtuWl16ZS+l/bXd9/u3K1pKVnlPIIAQAAUF5UHVi7/GTPzbjNPXpIsnZsdFzmT7Zt2TUwi3l0jgT3+4eYfHz1fHsDs/jnxknGpl90g67KyJqfL3nxtgZglrBIsVQNLPP3DKsbJD7+tmqtCbtUg0Gr65isVtnxXVFTspb9yba1o8YtAI91IO6w/LnXdolHr2s6uTw3+N6xknj8pLRpcZX888b+8vZHn8qRhGNSu0aMjB1xh7S/uqiAfEFBgXy+dIV8s2KVxB1N0N+a1qtdUwYPuE4HDy90Of8zc97Q009PHidr1v0uv23cIjGREfK/OTP1/JW/rJNPlyyTvQfj5MyZM3oMg67vIzf373Peb2iPJh6T1+Z/rDOKk1JSJTcvV8JCgqV9qxZy3+3/lKgI27eWZ5dAsD9Wn33es9N0qYSlK9foec7B29gj8TpDd9O2nZKani4hQUHSqU0rGXnbLRIdYTsxVmUbhtz3f3r6nqGDxdvbS75c9oOkZ2RJi6aNZPID90pMVIR+Pj+/QN7/9EtZvuZXOXbilO7+WS0sTK5qVF8eGD5MIsLDXMaptsWbH34iS1b8JLm5edKhdQuZeP9ICQ4KLLZt5z4zVQdvVcmEMY89pedNemCkxB5NkO9/+kWys3OkQ+uWMmH0PS7vc02HNuLj7a3X/+Mva/V2BwAAgOfxCnGuceu5gduU752yba8dJCZv4ySfVDRl2cDMk+UdP+poTOZbxvVt7dTfhjHNwyX292OSk54np+JSpVrdYMfzx/YkycmDtlIW4XWDJKqJZ9ewLk0EbguZzLYbAM+hAo6KxWyWZk0alngMq6Dno8+9pL/BU/YejJVHnn1RPn/3VQkOtBVEf/ql12XZql9cXqcCws/M2S+HDh+RMSNuP+cYnOOus157W1LT0oueM4u8o+vOupYv2HcoTl544105cPiwTLx/RLH12H8eHT95Slb9tt7ltcdPntZB2K27dsuC11/QQcnz0dvkrHXr7XAgVkZPniGZWdmO51QdWBUsVYHnd/7ztA7IOm9TFXxOz8h0PN6wZZvM+M9ceWv2E/rxx58vkf8u+NTl/eOOxuvb0Juul8iIMJfP+dZHiyQpuajO1Mpf14vFyyJPThxbfJuYCreL0zwV9E1JLdreP6/fqN/rf688J74+thNgf38/aVivtuz6a7/8vnWH3DyAwC3gSTg3A1Ba/P39JT8/nw3qwSzBYbaTwcLAmyfKjY+VrO0b9LS6jD+gS293D6lSuGADsxbtJWTgHZfdwMzTlGdjMmfVm9kCt0r8ztMugVvnbNsWA+p6bAmKskCoEoDH2rP/oL6PiYoUv3OUScjIzJIRtw6WFZ+8I3cPvVnPU8HKdRttv6y37PjTEbRVGaRfzZ8ni956SerUtP3SXvDFtzoz9WKYTSaZ++zjsmrxfHly0lidrfrewi/0czf06SFLP3pTflj0rgy5oa+e9/m3K2T/ocPnXF+NmCh5cfokWfLB67Lmiw/0Zxg5bIh+7mjicVlb+BnWLvlYBvS2lQSwP1a312ZOO+e657z9viNoO/3fD8gPi96RsYUBapXd+8b7n5RY/mHW1Any/cL/6uxYZfuff+lgsrJ15x593/KqxrJ84dvy46fvyQevzpQH7h4mQYVBcmdnzuTLG7NmyLcfvC7169TS8376dYPOgL4YFrNF3nv5GVm24C3p3rm9nqf21Xcrfy5W61bZs8/27wUAAFQuFotFOnToIC1atNDT8EwmLy8xBwR7dKkE52zbwGtvItvWKA3MdmwslQZmnhm4LfvGZHbVmxddGRm/o+gYTjueKbEbbQFd/xBfqd85ptzG5AkI3ALwWPZszeCg4kFBO1VaYMSwwRJQ1V/69bzGMT/xhO1benvwU7l76CCJrBYmtapHy20336DnqUxdlVl6MYbdfIO0a9Vc/Px8pW6tGrJ+yzbJLwxCfvvDahlw+yjp888R8tm3yx2v2bx953nHvn33Xhnz6NPSZ+gIuW7oSHnn46LsXVXW4XKosgJ/7Nitp1UZg+t7dZOq/v56/OrzK+s2by32um6d20m3Tu0kKCBAenbt6Jh/rHBbRkfaLl87FHdU3v34c10iQn3+O4YMlBrRUcXWd2PfXnJ1syYSFhoiXdu31vPyzpyR08kpF/U5buzXS5o2rK9LK4y685+O+ZsLM7HtVOM65WLXCwAAAGPyCrWVCstPSxbrmTPiSXLj4yRrm+1qOnNgiL58H0ZtYPblFTcwMzKVaVyejcnsQmoESJUQW73hxN2npeCM7W/lnd/HqkR67aq+tcXiRajSGaUSAFRoKmvVbLb94HcuK5CXZzvRS0lNc8yLqlbU6TLSaToppWiZ82lUr47L4+SUC39b61xa4Wxz3/1IFn2zrNQboKWmZzgCys6fU12OEhkerjNo1bhUzVpntaoXffNZ0rYccevNsu9grGzdtcfRNE5RNX1ffnKKoxZu0fqii9bnU3x9F+I8dufpZKd9qlxsBi8AAACMzaLq3Mbtt5VLSD0tXmGR4ilSlzvXtr1RzIWlveDeBmb+rbtK2k9LJHXlV7ruq62B2QJJ+3W5hNxwm/i36aqXrYiNybyqRYnZ/9xJUKVN/b1ZvVmY7P8tQc7k5MuJAykSWjNA9vxkuwrV4m2Wq64tyoSGDYFbAB4rNCRI3zvXOT2bl9PlcCXVybE3wlJUwLJhYfBV1Zc9O2PzQux1VR2vC7aNT1F1W6/r0dXleZXNe77aPSt/Xafvw0NDdAkGVb7h19+3yMQnZxdb9lJqAAUFVNV1gVXw1l7mwD6e46dsnztQLWMxX9K2VJmzqvSBWuf+2Dg5EHtEZ96qzOD5n3whU/7vX67r8yr6FWRyLsR7kZz30fn2V0phcFxlMAMAgMpH1bbduHGjpKWlSY8ePRxf6sPzeIUUfVl/JumkxwRucxMOS6Yj2zZYArpe5+4hwbmBWb9bJKBz70rRwCzv2BGx5uWVe5kEu+rNw3Xg1l4u4cT+ZMnLstUfb9SthvgF8YXG2QjcOgUhKH4MeJYmDevJ0h/XSMKx4zr7VJUoKMbkFGQ0FZ/fpX1r+WDx13rW/z79ShrVryt5eXny8Ze2jFG1TKe2rS7u54Pze4no19kDpG8vWCy1akRLw7p1JCklRdZv3iaLvl4mH8x9/pxjyy3MPFV/XKhSBqp52IeffV3i+6lAq93+2MPSsLCua7EhmkxSpYqfXN28qWzevks3YVu++lf5W8d28vX3Kx2B3C7trratu4Rxnetzf/ndD+Lr66vLH7S/uoXUr11LFn/zvWRmZeks2GLrcw4AX+h97POcZn+z/Cfp2bWTzuR968OipmiqXIXz6w/E2r7BbdqwHj/nAQ/DuRmA0pKZmSnZ2UVNWeGZLKG20lyeVuc2dcVnOhioBPVS2bYl/N0Ct6osDcxcyiSUY2My58Ct3dEdJyXjVNHP5ebXu17BChsCtwA8VoerbQ2yVGB051/7dMDuUrVt2Uz69ugqy1f/Jtt27ZEbhz/g8vytgwboerWXo3pUpNwzbLC8/dFinXV6z7jHLun1f+vYVgemT5w67RhXzZjitWKVZo2Kvi2948FJ+l41Yxt919ASl3/ovjtl9KQZkpWdI9Nnz3V5TmWsjr7rVrlU2/78S4+3JJ3bXS1lEdC5+6EpLvNUVnJ/p0ZtWdnZsvdArJ7u0KZlqY8BAAAA7sq4PeUxGY6Zf6zV0+aAILJtPaSBWdburTqAmxcf62hglrVri95/KkPXElB0daUncWlMVrP8A7eBkf4SGFFF0k5kSeLuJMf8mq2qSWjNi7vStbIhcAvAY9WvU0uaNW4gu/7aL6t+XX9ZgVtlxoQx0rxJQ1myYrXEHY1XEUGpX7umDB5wnQzs2+uKxnjvbbdIvVo15dNvlslfB2IlP/+MVAsLlcYN6ro0+CrJw/8aru9/2bBZf0N/7d86S/fO7WX8jMIsXSe9u3XRwesff16nM3MvpEmDevLuS8/KOx8vlk3bdumatqHBQdKxTUu59/ZbdND5UvW6ppOkpWfIXwcO6fq+3t7eUj06UjchU9uytKlxHolPlG9/XKOzeju2bikTHxjhUrLil/WbdcMzX18fua67a6kKAAAAeHLGra1BrtGlLP/cNdvW18/dQ8JFNjDza9xSMn5fLSlLF0p+apKjgVnGxtUS3OdmCew+QEzennVpv7sDt0pM83BJ++mIy7wW/eu6ZSyewGRVRQ0rsdTUVAkODpb4o8clKMgzvzEBKrMVq3+TqbNe0bVqv3pvbsnlElBhbNq2Ux6c8pSefnzcaPn7dT3Pu/y4ac/Juk1bdeB40oMjy2mUAErzPK16jUhJSUnhPK2E89ekpCQJCQnhH5yBqIaYx48fl8jISOqoGqzG7Zo1ayQjI0P69eunv1yGZx43Z1JOS/yM0Xq6SvN2EnHvZDGyvOPxkjDzYR24NVcNlOpT53lU4JafaYXbISfbpYGZnSU0QsKH3S9+jVp4xL6x5p+Rw48MFzmTJ14RMVL90TniDvt+jZef5m11PA6pUVWGzOpWYUpkJScnS2hoaKmdv1KVHYBH69O9izSuX1dSUtPkmxWr3D0cGMi+Q3E6aKuybUcMG+zu4QAAAOAKWQJDRMwWR3Myo0tZ7lzbdqBHBW1RvIFZ9Udfkaqde+srNJX8pBNy/PWnJHnpQrHm2xpsGVle4hEdtHVXfduS6twqLa6vW2GCtmWBUgmFaE4GeO6x62jwhQrP+Rf6hX5uN6pXR9Yv/aScRgagLHASDwBw+b1gNoslOEwHzIzenExl22Zu/kVPq2zbgL9d7+4hoVQamI2SwO79Jenz9yRn304dmE9d8blk790p1e78P/EKi/CQxmRFPVLKm3+Ir4TXDZJTh1LFL8hHGna7vJ4ylQWBWwCAx1B1jAnGAgCAS+Xn5yd5ebZMM3h+gzIVuC3ITJeC3Bwx+xizVJoK5tmzbQN7/p1s2wrEJ6a2RN4/VVJXfi0p3y1UdQsk99AeSXhhkg7s+l/dWYwoN26/2+vb2vW4v5XsXnlYGl5TXbx8bFn0KBmlEgAAAAAAFZbFYpFOnTpJq1at9DQqUoMyY2bd5p1IlAx7tq1/gASSbVshs7+D+wySqLFPiqUwy9aalSEn5/9HTi96Swpyc8Voco8ctE2YTOJT073NwMJqBUrX4c0ksiG1+i+EjFsAAAAAAOAxGbd2qs6td2T1Ulu3taBAN59SN9WQypqbLdacbClw3Ofoe8f02c/n2OblJ5/UWZiObFu/KqU2RhiLb93GEjNhlg7WZv6xVs9LX/uD5BzcI+F3PaSzc43AeiZPcuMP6WmviOpi9vN395BwkQjcAgAAAAAAj2AJLQrc5iXEiVd4ZLFgqi3oaguyFgvAusx3CtAWBmxLk9m/qgR2o7ZtRWeuUlXC7xonfk1a6dq31rxcyUs8LMdemiIhNw2XgK7Xub1uf17CYZHCBmo+teq5dSy4NARuC5lNthsAAACMgXMzAKUhPz9ftmzZIqmpqRIeHi5mMxUDPZklpKhUQvJX7+ub0Zh8fMVcNUhCBt5OZmMloQKzAZ17i2+9JnLy/TmSFx8r1rw8SVr8tmT/tV3XvlVlM9wl9/ABQzQmw6UjcAsAAAAAqNDS0tIkMzPT3cNAKfCOKr0O9CZvHzH5+onJx0/Mvr6F9+qxr55v9vFzet4+7Vu4zFnLFs7T6+TLgUrLO6qmRI97RpK+/kDSf/lez8vatl4S4vZJ+J0PiV/9pm4ZV85hp8ZkBG49CoFbAAAAAADgEbwjYiT05nska+cmMfn42IKl9mCqDrbaAqlFgdXC+fagqyMY60uAFWVCBe/DhowUv8Yt5fTC16UgM0M30js+d7oEX/8PCeozuNz/7TkyblVjshrubUyGS0PgFgAAAAAAeIzA7v31DTAy/5YdxadmfTn10auSs/9PEatVUr5bJNl7d0r47WPFKySsXMZhq7kbp6e9I2voLzH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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 6: Coherence Interpretation Scale\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", + "\n", + "# Left panel: Coherence scale with examples\n", + "ax1 = axes[0]\n", + "\n", + "# Create color gradient\n", + "coherence_levels = np.linspace(0, 1, 100)\n", + "gradient = np.vstack([coherence_levels] * 10)\n", + "\n", + "# Plot gradient\n", + "im = ax1.imshow(gradient.T, aspect='auto', extent=[0, 1, 0, 1], \n", + " cmap='Purples', origin='lower')\n", + "ax1.set_xlim(0, 1)\n", + "ax1.set_ylim(0, 1)\n", + "\n", + "# Add labeled regions\n", + "regions = [\n", + " (0.0, 0.2, 'Very weak\\n(no relationship)', '#f0f0f0'),\n", + " (0.2, 0.4, 'Weak', '#d0d0e8'),\n", + " (0.4, 0.6, 'Moderate', '#a0a0d0'),\n", + " (0.6, 0.8, 'Strong', '#7070b8'),\n", + " (0.8, 1.0, 'Very strong', '#4040a0'),\n", + "]\n", + "\n", + "for y_low, y_high, label, color in regions:\n", + " ax1.axhline(y_low, color='white', linewidth=2)\n", + " ax1.text(0.5, (y_low + y_high) / 2, label, ha='center', va='center',\n", + " fontsize=11, fontweight='bold', color='white' if y_high > 0.5 else COLORS['text'])\n", + "\n", + "ax1.set_xlabel('', fontsize=12)\n", + "ax1.set_ylabel('Coherence', fontsize=12)\n", + "ax1.set_title('Coherence Interpretation Scale', fontsize=14)\n", + "ax1.set_xticks([])\n", + "ax1.set_yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0])\n", + "\n", + "# Right panel: Example signals at different coherence levels\n", + "ax2 = axes[1]\n", + "np.random.seed(42)\n", + "\n", + "fs = 500\n", + "n_samples = 1000\n", + "t = np.arange(n_samples) / fs\n", + "freq = 10\n", + "\n", + "target_coherences = [0.9, 0.6, 0.3]\n", + "colors = [COLORS['high_sync'], COLORS['signal_4'], COLORS['negative']]\n", + "\n", + "for i, (target_coh, color) in enumerate(zip(target_coherences, colors)):\n", + " # Generate signals with approximate target coherence\n", + " x, y = generate_coherent_signals(n_samples, fs, freq, target_coh, snr_db=30, seed=42+i)\n", + " freqs, coh = compute_coherence(x, y, fs, nperseg=256)\n", + " \n", + " ax2.plot(freqs, coh, color=color, linewidth=2, label=f'Target C ≈ {target_coh}')\n", + "\n", + "ax2.axvline(freq, color='gray', linestyle='--', alpha=0.5)\n", + "ax2.set_xlim(0, 30)\n", + "ax2.set_ylim(0, 1)\n", + "ax2.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax2.set_ylabel('Coherence', fontsize=12)\n", + "ax2.set_title('Coherence Spectra at Different Levels', fontsize=14)\n", + "ax2.legend(loc='upper right')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d35d4651", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 6: The Volume Conduction Problem\n", + "\n", + "### Recall from C01: Volume Conduction\n", + "\n", + "In EEG, electrical signals spread through the conductive brain tissue and skull. A **single source** can appear at **multiple electrodes** simultaneously.\n", + "\n", + "### Why This Breaks Coherence\n", + "\n", + "When two electrodes pick up the same source:\n", + "- They record nearly identical signals\n", + "- Coherence between them is **very high** (~1)\n", + "- But this is NOT true connectivity — it's the same signal seen twice!\n", + "\n", + "### The Signature of Volume Conduction\n", + "\n", + "Volume conduction has a distinctive signature:\n", + "- **Zero phase lag**: The signals are (nearly) instantaneous copies\n", + "- **High coherence**: Because they're the same signal\n", + "\n", + "### Why Coherence Can't Help\n", + "\n", + "Coherence uses only the **magnitude** of the cross-spectrum:\n", + "\n", + "$$C_{xy}(f) = \\frac{|S_{xy}(f)|^2}{S_{xx}(f) \\cdot S_{yy}(f)}$$\n", + "\n", + "The **phase information is discarded**! So coherence can't distinguish:\n", + "- Zero-lag (volume conduction) from\n", + "- True lagged connectivity (neural communication)\n", + "\n", + "### Solutions\n", + "\n", + "1. **Imaginary coherence** (F02): Uses only the imaginary part of coherence\n", + "2. **PLI / wPLI** (G02, G03): Phase-based metrics that ignore zero-lag\n", + "3. **Source localization**: Analyze at the source level, not sensor level\n", + "\n", + "> **For hyperscanning**: Volume conduction is less critical for BETWEEN-brain connectivity (separate heads!), but still matters for WITHIN-brain analysis." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "e5c9ab27", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "⚠️ Volume conduction creates HIGH coherence with ZERO phase lag — this is NOT true connectivity!\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 7: Volume Conduction Creates Spurious Coherence\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 8))\n", + "np.random.seed(42)\n", + "\n", + "fs = 500\n", + "n_samples = 2000\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Simulate a single source\n", + "source = np.sin(2 * np.pi * 10 * t) + 0.5 * np.sin(2 * np.pi * 20 * t)\n", + "source += 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Two electrodes pick up this source (with slight amplitude differences)\n", + "electrode_1 = 1.0 * source + 0.1 * np.random.randn(n_samples)\n", + "electrode_2 = 0.8 * source + 0.1 * np.random.randn(n_samples)\n", + "\n", + "# Compute coherence and cross-spectrum\n", + "freqs, coh = compute_coherence(electrode_1, electrode_2, fs, nperseg=256)\n", + "freqs_csd, csd_xy = signal.csd(electrode_1, electrode_2, fs, nperseg=256)\n", + "phase_diff = np.angle(csd_xy)\n", + "\n", + "# Plot 1: Time series\n", + "ax = axes[0, 0]\n", + "t_plot = t[:500]\n", + "ax.plot(t_plot, electrode_1[:500], color=COLORS['signal_1'], label='Electrode 1', linewidth=1.5)\n", + "ax.plot(t_plot, electrode_2[:500], color=COLORS['signal_2'], label='Electrode 2', linewidth=1.5, alpha=0.8)\n", + "ax.set_xlabel('Time (s)')\n", + "ax.set_ylabel('Amplitude')\n", + "ax.set_title('Two Electrodes Picking Up Same Source', fontsize=12)\n", + "ax.legend()\n", + "\n", + "# Plot 2: Coherence (very high!)\n", + "ax = axes[0, 1]\n", + "ax.fill_between(freqs, 0, coh, alpha=0.3, color=COLORS['negative'])\n", + "ax.plot(freqs, coh, color=COLORS['negative'], linewidth=2)\n", + "ax.set_xlim(0, 40)\n", + "ax.set_ylim(0, 1)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Coherence')\n", + "ax.set_title('Coherence: VERY HIGH (but spurious!)', fontsize=12)\n", + "ax.axhline(0.9, color='gray', linestyle='--', alpha=0.5)\n", + "ax.text(35, 0.92, 'Threshold', fontsize=9, ha='right')\n", + "\n", + "# Plot 3: Phase difference (near zero!)\n", + "ax = axes[1, 0]\n", + "ax.plot(freqs_csd, phase_diff, color=COLORS['high_sync'], linewidth=2)\n", + "ax.axhline(0, color='gray', linestyle='--', alpha=0.5)\n", + "ax.set_xlim(0, 40)\n", + "ax.set_ylim(-np.pi, np.pi)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Phase difference (rad)')\n", + "ax.set_title('Phase Difference: NEAR ZERO (volume conduction signature)', fontsize=12)\n", + "\n", + "# Plot 4: Explanation diagram\n", + "ax = axes[1, 1]\n", + "ax.set_xlim(0, 10)\n", + "ax.set_ylim(0, 10)\n", + "\n", + "# Draw source\n", + "circle_source = plt.Circle((5, 7), 0.8, color=COLORS['signal_4'], alpha=0.8)\n", + "ax.add_patch(circle_source)\n", + "ax.text(5, 7, 'Source', ha='center', va='center', fontsize=11, fontweight='bold')\n", + "\n", + "# Draw electrodes\n", + "circle_e1 = plt.Circle((2, 3), 0.5, color=COLORS['signal_1'], alpha=0.8)\n", + "circle_e2 = plt.Circle((8, 3), 0.5, color=COLORS['signal_2'], alpha=0.8)\n", + "ax.add_patch(circle_e1)\n", + "ax.add_patch(circle_e2)\n", + "ax.text(2, 3, 'E1', ha='center', va='center', fontsize=10, fontweight='bold')\n", + "ax.text(8, 3, 'E2', ha='center', va='center', fontsize=10, fontweight='bold')\n", + "\n", + "# Draw arrows (instantaneous spread)\n", + "ax.annotate('', xy=(2, 3.6), xytext=(4.5, 6.5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS['text'], lw=2))\n", + "ax.annotate('', xy=(8, 3.6), xytext=(5.5, 6.5),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS['text'], lw=2))\n", + "\n", + "ax.text(5, 1, 'Same signal at both electrodes\\\\n→ High coherence, zero lag\\\\n→ NOT true connectivity!', \n", + " ha='center', va='center', fontsize=11, color=COLORS['negative'],\n", + " bbox=dict(boxstyle='round', facecolor='#fff0f0', edgecolor=COLORS['negative']))\n", + "\n", + "ax.set_aspect('equal')\n", + "ax.axis('off')\n", + "ax.set_title('Volume Conduction Mechanism', fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"⚠️ Volume conduction creates HIGH coherence with ZERO phase lag — this is NOT true connectivity!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "019f832d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Key insight: Both scenarios have similar coherence, but PHASE reveals the truth!\n", + "• True connectivity: non-zero phase lag (signal propagation takes time)\n", + "• Volume conduction: zero phase lag (instantaneous electrical spread)\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 8: True Connectivity vs Volume Conduction\n", + "# =============================================================================\n", + "# \n", + "# In EEG/hyperscanning, high coherence between two signals can arise from:\n", + "# 1. TRUE CONNECTIVITY: neural signal propagates from region A to B with a delay\n", + "# → Phase varies with frequency (time delay = linear phase slope)\n", + "# 2. VOLUME CONDUCTION: same electrical source spreads instantaneously to both sensors\n", + "# → Phase ≈ 0 at all frequencies (no delay = no phase shift)\n", + "#\n", + "# This distinction is critical: only true connectivity reflects real brain communication.\n", + "# Metrics like PLI and wPLI were developed specifically to ignore zero-lag connections.\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 6))\n", + "np.random.seed(42)\n", + "\n", + "fs = 500\n", + "n_samples = 2000\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# =============================================================================\n", + "# Left: TRUE CONNECTIVITY\n", + "# Signal propagates from region A to region B with a 20ms delay\n", + "# =============================================================================\n", + "delay_ms = 20\n", + "delay_samples = int(delay_ms / 1000 * fs)\n", + "\n", + "source_A = np.sin(2 * np.pi * 10 * t) + 0.3 * np.random.randn(n_samples)\n", + "source_B = np.roll(source_A, delay_samples) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "freqs_true, coh_true = compute_coherence(source_A, source_B, fs, nperseg=256)\n", + "_, csd_true = signal.csd(source_A, source_B, fs, nperseg=256)\n", + "phase_true = np.angle(csd_true)\n", + "\n", + "# =============================================================================\n", + "# Right: VOLUME CONDUCTION\n", + "# Same source picked up by both sensors simultaneously (no delay)\n", + "# =============================================================================\n", + "common_source = np.sin(2 * np.pi * 10 * t) + 0.3 * np.random.randn(n_samples)\n", + "sensor_1 = common_source + 0.05 * np.random.randn(n_samples)\n", + "sensor_2 = 0.8 * common_source + 0.05 * np.random.randn(n_samples)\n", + "\n", + "freqs_vc, coh_vc = compute_coherence(sensor_1, sensor_2, fs, nperseg=256)\n", + "_, csd_vc = signal.csd(sensor_1, sensor_2, fs, nperseg=256)\n", + "phase_vc = np.angle(csd_vc)\n", + "\n", + "# =============================================================================\n", + "# Plotting\n", + "# =============================================================================\n", + "\n", + "idx_10hz = np.argmin(np.abs(freqs_true - 10))\n", + "\n", + "# --- Left panel: True Connectivity ---\n", + "ax1 = axes[0]\n", + "line_coh1, = ax1.plot(freqs_true, coh_true, color=COLORS['signal_3'], linewidth=2.5)\n", + "ax1.fill_between(freqs_true, 0, coh_true, alpha=0.3, color=COLORS['signal_3'])\n", + "ax1.set_xlim(0, 30)\n", + "ax1.set_ylim(0, 1.05)\n", + "ax1.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax1.set_ylabel('Coherence', fontsize=12, color=COLORS['signal_3'])\n", + "ax1.tick_params(axis='y', labelcolor=COLORS['signal_3'])\n", + "ax1.set_title(f'True Connectivity\\n({delay_ms}ms delay between regions)', fontsize=11, pad=10)\n", + "\n", + "ax1_twin = ax1.twinx()\n", + "line_phase1, = ax1_twin.plot(freqs_true, phase_true, color=COLORS['signal_4'], \n", + " linewidth=2, linestyle='--')\n", + "ax1_twin.set_ylabel('Phase (rad)', fontsize=10, color=COLORS['signal_4'])\n", + "ax1_twin.set_ylim(-np.pi, np.pi)\n", + "ax1_twin.tick_params(axis='y', labelcolor=COLORS['signal_4'])\n", + "ax1_twin.axhline(0, color='gray', linestyle=':', alpha=0.5)\n", + "\n", + "ax1.legend([line_coh1, line_phase1], ['Coherence', 'Phase'], loc='lower left', fontsize=9)\n", + "\n", + "ax1.annotate(f'C = {coh_true[idx_10hz]:.2f}\\nφ = {phase_true[idx_10hz]:.1f} rad ≠ 0', \n", + " xy=(10, coh_true[idx_10hz]), xytext=(20, 0.75), fontsize=9,\n", + " arrowprops=dict(arrowstyle='->', color='black'),\n", + " bbox=dict(boxstyle='round', facecolor='white', alpha=0.9))\n", + "\n", + "# --- Right panel: Volume Conduction ---\n", + "ax2 = axes[1]\n", + "line_coh2, = ax2.plot(freqs_vc, coh_vc, color=COLORS['negative'], linewidth=2.5)\n", + "ax2.fill_between(freqs_vc, 0, coh_vc, alpha=0.3, color=COLORS['negative'])\n", + "ax2.set_xlim(0, 30)\n", + "ax2.set_ylim(0, 1.05)\n", + "ax2.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax2.set_ylabel('Coherence', fontsize=12, color=COLORS['negative'])\n", + "ax2.tick_params(axis='y', labelcolor=COLORS['negative'])\n", + "ax2.set_title('Volume Conduction\\n(same source, no delay)', fontsize=11, pad=10)\n", + "\n", + "ax2_twin = ax2.twinx()\n", + "line_phase2, = ax2_twin.plot(freqs_vc, phase_vc, color=COLORS['signal_4'], \n", + " linewidth=2, linestyle='--')\n", + "ax2_twin.set_ylabel('Phase (rad)', fontsize=10, color=COLORS['signal_4'])\n", + "ax2_twin.set_ylim(-np.pi, np.pi)\n", + "ax2_twin.tick_params(axis='y', labelcolor=COLORS['signal_4'])\n", + "ax2_twin.axhline(0, color='gray', linestyle=':', alpha=0.5)\n", + "\n", + "ax2.legend([line_coh2, line_phase2], ['Coherence', 'Phase'], loc='lower left', fontsize=9)\n", + "\n", + "ax2.annotate(f'C = {coh_vc[idx_10hz]:.2f}\\nφ ≈ 0 rad', \n", + " xy=(10, coh_vc[idx_10hz]), xytext=(20, 0.75), fontsize=9,\n", + " arrowprops=dict(arrowstyle='->', color='black'),\n", + " bbox=dict(boxstyle='round', facecolor='white', alpha=0.9))\n", + "\n", + "fig.suptitle('Both show HIGH coherence — but PHASE distinguishes real connectivity from artifact!', \n", + " fontsize=12, style='italic', y=0.98)\n", + "\n", + "plt.tight_layout(rect=[0, 0, 1, 0.93])\n", + "plt.show()\n", + "\n", + "print(\"Key insight: Both scenarios have similar coherence, but PHASE reveals the truth!\")\n", + "print(\"• True connectivity: non-zero phase lag (signal propagation takes time)\")\n", + "print(\"• Volume conduction: zero phase lag (instantaneous electrical spread)\")" + ] + }, + { + "cell_type": "markdown", + "id": "a278f5c3", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 7: Band-Averaged Coherence\n", + "\n", + "### Why Average Across Bands?\n", + "\n", + "The full coherence spectrum can be complex to interpret. Often, we want a **single value** summarizing coherence in a frequency band:\n", + "\n", + "| Band | Range | Associated Function |\n", + "|------|-------|---------------------|\n", + "| Delta | 1-4 Hz | Deep sleep, unconscious |\n", + "| Theta | 4-8 Hz | Memory, navigation |\n", + "| Alpha | 8-13 Hz | Relaxation, attention |\n", + "| Beta | 13-30 Hz | Active thinking, motor |\n", + "| Gamma | 30-100 Hz | Perception, binding |\n", + "\n", + "### How to Compute Band Coherence\n", + "\n", + "1. Compute full coherence spectrum\n", + "2. Select frequencies within the band\n", + "3. Average coherence values\n", + "\n", + "### Caution\n", + "\n", + "Averaging may obscure **narrow-band effects**. A sharp peak at 10 Hz might get diluted when averaging across 8-13 Hz. Always check the full spectrum first!" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "27899532", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Band coherences: delta=0.47, theta=0.98, alpha=0.99, beta=0.31, gamma=0.02\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 9: Band-Averaged Coherence\n", + "# =============================================================================\n", + "#\n", + "# EEG analysis typically focuses on specific frequency bands with different\n", + "# functional significance:\n", + "# - Delta (1-4 Hz): deep sleep, unconscious processes\n", + "# - Theta (4-8 Hz): memory, emotional processing\n", + "# - Alpha (8-13 Hz): relaxed wakefulness, inhibition\n", + "# - Beta (13-30 Hz): active thinking, focus\n", + "# - Gamma (30-50 Hz): perception, consciousness, binding\n", + "#\n", + "# Band-averaged coherence summarizes connectivity within each band.\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "np.random.seed(42)\n", + "\n", + "fs = 500\n", + "n_samples = 4000\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Create signals with different coherence in different bands\n", + "shared_alpha = np.sin(2 * np.pi * 10 * t)\n", + "shared_theta = 0.5 * np.sin(2 * np.pi * 6 * t)\n", + "indep_beta_1 = 0.3 * np.sin(2 * np.pi * 20 * t + np.random.uniform(0, 2*np.pi))\n", + "indep_beta_2 = 0.3 * np.sin(2 * np.pi * 20 * t + np.random.uniform(0, 2*np.pi))\n", + "\n", + "noise_1 = 0.3 * np.random.randn(n_samples)\n", + "noise_2 = 0.3 * np.random.randn(n_samples)\n", + "\n", + "x = shared_alpha + shared_theta + indep_beta_1 + noise_1\n", + "y = shared_alpha + shared_theta + indep_beta_2 + noise_2\n", + "\n", + "freqs, coh = compute_coherence(x, y, fs, nperseg=256)\n", + "band_coh = compute_all_band_coherence(x, y, fs, nperseg=256)\n", + "\n", + "# =============================================================================\n", + "# Left panel: Full spectrum with frequency bands as vertical background regions\n", + "# =============================================================================\n", + "ax1 = axes[0]\n", + "\n", + "bands = {\n", + " 'delta': (1, 4, COLORS['delta']),\n", + " 'theta': (4, 8, COLORS['theta']),\n", + " 'alpha': (8, 13, COLORS['alpha']),\n", + " 'beta': (13, 30, COLORS['beta']),\n", + " 'gamma': (30, 50, COLORS['gamma']),\n", + "}\n", + "\n", + "# Draw bands as vertical spans FIRST (background)\n", + "for band_name, (f_low, f_high, color) in bands.items():\n", + " ax1.axvspan(f_low, f_high, alpha=0.2, color=color, label=band_name)\n", + "\n", + "# Draw coherence curve ON TOP\n", + "ax1.plot(freqs, coh, color=COLORS['high_sync'], linewidth=2.5, zorder=10)\n", + "\n", + "ax1.set_xlim(0, 50)\n", + "ax1.set_ylim(0, 1.05)\n", + "ax1.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax1.set_ylabel('Coherence', fontsize=12)\n", + "ax1.set_title('Full Coherence Spectrum with Frequency Bands', fontsize=12)\n", + "ax1.legend(loc='upper right', ncol=2, fontsize=9)\n", + "\n", + "# =============================================================================\n", + "# Right panel: Bar chart of band coherences\n", + "# =============================================================================\n", + "ax2 = axes[1]\n", + "band_names = list(band_coh.keys())\n", + "band_values = list(band_coh.values())\n", + "band_colors = [COLORS[b] for b in band_names]\n", + "\n", + "bars = ax2.bar(band_names, band_values, color=band_colors, edgecolor='white', linewidth=2)\n", + "\n", + "# Add value labels INSIDE bars (to avoid title overlap)\n", + "for bar, val in zip(bars, band_values):\n", + " label_y = bar.get_height() - 0.08 if bar.get_height() > 0.15 else bar.get_height() + 0.02\n", + " label_color = 'white' if bar.get_height() > 0.15 else 'black'\n", + " ax2.text(bar.get_x() + bar.get_width()/2, label_y, \n", + " f'{val:.2f}', ha='center', va='top' if bar.get_height() > 0.15 else 'bottom', \n", + " fontsize=11, fontweight='bold', color=label_color)\n", + "\n", + "ax2.set_ylim(0, 1.05)\n", + "ax2.set_xlabel('Frequency Band', fontsize=12)\n", + "ax2.set_ylabel('Band-Averaged Coherence', fontsize=12)\n", + "ax2.set_title('Band Coherence Summary', fontsize=12)\n", + "ax2.axhline(0.5, color='gray', linestyle='--', alpha=0.5)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Band coherences: {', '.join([f'{k}={v:.2f}' for k, v in band_coh.items()])}\")" + ] + }, + { + "cell_type": "markdown", + "id": "da10f5fe", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 8: Coherence Matrix\n", + "\n", + "### Scaling Up: Multi-Channel Analysis\n", + "\n", + "With EEG, we typically have many channels (16, 32, 64, or more). We want to compute coherence for **all pairs** of channels.\n", + "\n", + "### The Coherence Matrix\n", + "\n", + "For n channels, the coherence matrix is:\n", + "- Size: n × n\n", + "- Symmetric: C_xy = C_yx\n", + "- Diagonal = 1 (self-coherence)\n", + "- Values: 0 to 1\n", + "\n", + "### Example\n", + "\n", + "For 8 channels:\n", + "- 8 × 8 = 64 matrix elements\n", + "- But only need (8 × 7) / 2 = 28 unique pairs\n", + "- Diagonal is always 1\n", + "\n", + "### Functional Clusters\n", + "\n", + "In practice, coherence matrices often reveal **functional clusters**: groups of channels that are highly coherent with each other but less coherent with other groups.\n", + "\n", + "For example:\n", + "- **Frontal cluster**: Fp1, Fp2, F3, F4 (prefrontal and frontal electrodes)\n", + "- **Posterior cluster**: C3, C4, P3, P4 (central and parietal electrodes)\n", + "\n", + "This structure reflects the underlying brain network organization." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "id": "a61950d0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Coherence Matrix Statistics:\n", + " Within-cluster coherence: 0.736 +/- 0.028\n", + " Between-cluster coherence: 0.126 +/- 0.017\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 10: Coherence Matrix with Cluster Structure\n", + "# =============================================================================\n", + "#\n", + "# This visualization demonstrates how coherence matrices reveal functional\n", + "# organization in multi-channel EEG data.\n", + "#\n", + "# We simulate two clusters:\n", + "# - Frontal cluster (Fp1, Fp2, F3, F4): channels sharing a common source\n", + "# - Posterior cluster (C3, C4, P3, P4): channels sharing a different source\n", + "#\n", + "# Expected result: high coherence WITHIN clusters, low coherence BETWEEN clusters.\n", + "# =============================================================================\n", + "\n", + "np.random.seed(42)\n", + "\n", + "fs = 256\n", + "duration = 10\n", + "n_samples = int(fs * duration)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "channels = ['Fp1', 'Fp2', 'F3', 'F4', 'C3', 'C4', 'P3', 'P4']\n", + "n_channels = len(channels)\n", + "\n", + "from scipy.signal import butter, filtfilt\n", + "\n", + "def bandpass_filter(data: np.ndarray, lowcut: float, highcut: float, \n", + " fs: float, order: int = 4) -> np.ndarray:\n", + " \"\"\"Apply bandpass filter.\"\"\"\n", + " nyq = 0.5 * fs\n", + " low = lowcut / nyq\n", + " high = highcut / nyq\n", + " b, a = butter(order, [low, high], btype='band')\n", + " return filtfilt(b, a, data)\n", + "\n", + "# Create two independent broadband sources (one per cluster) filtered to alpha band\n", + "source_frontal_raw = np.random.randn(n_samples)\n", + "source_posterior_raw = np.random.randn(n_samples)\n", + "\n", + "source_frontal = bandpass_filter(source_frontal_raw, 8, 13, fs)\n", + "source_posterior = bandpass_filter(source_posterior_raw, 8, 13, fs)\n", + "\n", + "source_frontal = source_frontal / np.std(source_frontal)\n", + "source_posterior = source_posterior / np.std(source_posterior)\n", + "\n", + "frontal_channels = [0, 1, 2, 3]\n", + "posterior_channels = [4, 5, 6, 7]\n", + "\n", + "# Build signals: shared source + individual noise\n", + "signals = np.zeros((n_channels, n_samples))\n", + "shared_weight = 0.7\n", + "noise_weight = 0.3\n", + "\n", + "for i in range(n_channels):\n", + " individual_noise_raw = np.random.randn(n_samples)\n", + " individual_noise = bandpass_filter(individual_noise_raw, 8, 13, fs)\n", + " individual_noise = individual_noise / np.std(individual_noise)\n", + " \n", + " if i in frontal_channels:\n", + " signals[i] = shared_weight * source_frontal + noise_weight * individual_noise\n", + " else:\n", + " signals[i] = shared_weight * source_posterior + noise_weight * individual_noise\n", + "\n", + "for i in range(n_channels):\n", + " signals[i] = signals[i] / np.std(signals[i])\n", + "\n", + "coherence_matrix = compute_coherence_matrix(\n", + " signals, fs=fs,\n", + " nperseg=512,\n", + " band=(8, 13)\n", + ")\n", + "\n", + "# =============================================================================\n", + "# Visualization\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(13, 5))\n", + "\n", + "# --- Left panel: Coherence matrix ---\n", + "im = axes[0].imshow(coherence_matrix, cmap='RdYlBu_r', vmin=0, vmax=1, aspect='equal')\n", + "axes[0].set_xticks(range(n_channels))\n", + "axes[0].set_yticks(range(n_channels))\n", + "axes[0].set_xticklabels(channels, fontsize=10)\n", + "axes[0].set_yticklabels(channels, fontsize=10)\n", + "axes[0].set_title('Coherence Matrix (Alpha Band: 8-13 Hz)', fontsize=12, fontweight='bold', pad=25)\n", + "axes[0].set_xlabel('Channel')\n", + "axes[0].set_ylabel('Channel')\n", + "\n", + "cbar = plt.colorbar(im, ax=axes[0], shrink=0.8)\n", + "cbar.set_label('Coherence', fontsize=10)\n", + "\n", + "# Cluster boundaries\n", + "axes[0].axhline(y=3.5, color='white', linewidth=2, linestyle='--')\n", + "axes[0].axvline(x=3.5, color='white', linewidth=2, linestyle='--')\n", + "\n", + "# Cluster labels\n", + "axes[0].text(1.5, -0.8, 'Frontal', ha='center', fontsize=10, fontweight='bold')\n", + "axes[0].text(5.5, -0.8, 'Posterior', ha='center', fontsize=10, fontweight='bold')\n", + "\n", + "# --- Right panel: Boxplot comparison ---\n", + "within_cluster = []\n", + "between_cluster = []\n", + "\n", + "for i in range(n_channels):\n", + " for j in range(i+1, n_channels):\n", + " coh_val = coherence_matrix[i, j]\n", + " same_cluster = (i in frontal_channels and j in frontal_channels) or \\\n", + " (i in posterior_channels and j in posterior_channels)\n", + " if same_cluster:\n", + " within_cluster.append(coh_val)\n", + " else:\n", + " between_cluster.append(coh_val)\n", + "\n", + "box_data = [between_cluster, within_cluster]\n", + "box_labels = [f'Between clusters\\n(n={len(between_cluster)})', \n", + " f'Within clusters\\n(n={len(within_cluster)})']\n", + "box_colors = [COLORS['low_sync'], COLORS['high_sync']]\n", + "\n", + "bp = axes[1].boxplot(box_data, tick_labels=box_labels, patch_artist=True, widths=0.5)\n", + "\n", + "for patch, color in zip(bp['boxes'], box_colors):\n", + " patch.set_facecolor(color)\n", + " patch.set_alpha(0.7)\n", + "\n", + "for median in bp['medians']:\n", + " median.set_color('black')\n", + " median.set_linewidth(2)\n", + "\n", + "# Add individual points\n", + "for i, (data, color) in enumerate(zip(box_data, box_colors)):\n", + " x = np.random.normal(i + 1, 0.04, size=len(data))\n", + " axes[1].scatter(x, data, alpha=0.6, color=color, edgecolor='white', s=50, zorder=10)\n", + "\n", + "# Add mean markers\n", + "for i, data in enumerate(box_data):\n", + " axes[1].scatter(i + 1, np.mean(data), marker='D', color='black', s=80, zorder=20, label='Mean' if i == 0 else '')\n", + "\n", + "axes[1].set_ylabel('Coherence', fontsize=11)\n", + "axes[1].set_title('Within vs Between Cluster Coherence', fontsize=12, fontweight='bold')\n", + "axes[1].set_ylim(0, 1)\n", + "axes[1].axhline(0.5, color='gray', linestyle='--', alpha=0.5, linewidth=1)\n", + "\n", + "# Add statistics as text\n", + "within_mean = np.mean(within_cluster)\n", + "between_mean = np.mean(between_cluster)\n", + "axes[1].text(0.95, 0.95, f'Within: {within_mean:.2f} ± {np.std(within_cluster):.2f}\\n'\n", + " f'Between: {between_mean:.2f} ± {np.std(between_cluster):.2f}',\n", + " transform=axes[1].transAxes, ha='right', va='top', fontsize=10,\n", + " bbox=dict(boxstyle='round', facecolor='white', alpha=0.9))\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\nCoherence Matrix Statistics:\")\n", + "print(f\" Within-cluster coherence: {within_mean:.3f} +/- {np.std(within_cluster):.3f}\")\n", + "print(f\" Between-cluster coherence: {between_mean:.3f} +/- {np.std(between_cluster):.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "6a31ab9a", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 This visualization shows how connectivity patterns differ across frequency bands!\n", + " Each band reveals different functional connections between brain regions.\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 11: Coherence Matrices Across Frequency Bands\n", + "# =============================================================================\n", + "# Create signals with coherence in DIFFERENT frequency bands\n", + "\n", + "np.random.seed(123)\n", + "\n", + "# Parameters\n", + "fs = 256\n", + "duration = 10\n", + "n_samples = int(fs * duration)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "channel_names = ['Fz', 'Cz', 'Pz', 'Oz']\n", + "n_channels = 4\n", + "\n", + "# Strategy: Create pairs of channels that are coherent in different bands\n", + "# - Fz & Cz: coherent in theta (4-8 Hz)\n", + "# - Pz & Oz: coherent in alpha (8-13 Hz)\n", + "# - Fz & Pz: coherent in beta (13-30 Hz)\n", + "# - All pairs have some gamma noise\n", + "\n", + "# Shared sources for each band\n", + "# For wider bands (beta, gamma), use MULTIPLE frequencies to cover more of the band\n", + "theta_source = np.sin(2 * np.pi * 6 * t) # 6 Hz (theta: 4-8 Hz)\n", + "alpha_source = np.sin(2 * np.pi * 10 * t) # 10 Hz (alpha: 8-13 Hz)\n", + "\n", + "# Beta: use multiple frequencies to cover 13-30 Hz band\n", + "beta_source = (np.sin(2 * np.pi * 16 * t) + \n", + " np.sin(2 * np.pi * 20 * t) + \n", + " np.sin(2 * np.pi * 25 * t)) / 3\n", + "\n", + "# Gamma: use multiple frequencies to cover 30-45 Hz band\n", + "gamma_source = (np.sin(2 * np.pi * 33 * t) + \n", + " np.sin(2 * np.pi * 38 * t) + \n", + " np.sin(2 * np.pi * 43 * t)) / 3\n", + "\n", + "# Create signals with specific coherence patterns\n", + "# KEY: For high coherence, BOTH signals must share the SAME frequency component!\n", + "# Each signal = shared component(s) + individual noise\n", + "noise_level = 0.2\n", + "\n", + "data = np.zeros((n_channels, n_samples))\n", + "\n", + "# Fz: theta (shared with Cz) + beta (shared with Pz) + noise\n", + "data[0] = 0.8 * theta_source + 0.6 * beta_source + noise_level * np.random.randn(n_samples)\n", + "\n", + "# Cz: theta (shared with Fz) + gamma (shared with Oz) + noise\n", + "data[1] = 0.8 * theta_source + 0.8 * gamma_source + noise_level * np.random.randn(n_samples)\n", + "\n", + "# Pz: alpha (shared with Oz) + beta (shared with Fz) + noise\n", + "data[2] = 0.8 * alpha_source + 0.6 * beta_source + noise_level * np.random.randn(n_samples)\n", + "\n", + "# Oz: alpha (shared with Pz) + gamma (shared with Cz) + noise\n", + "data[3] = 0.8 * alpha_source + 0.8 * gamma_source + noise_level * np.random.randn(n_samples)\n", + "\n", + "# Compute coherence matrices for all bands\n", + "band_matrices = compute_coherence_matrix_bands(data, fs, nperseg=256)\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(14, 9))\n", + "axes = axes.flatten()\n", + "\n", + "band_list = ['delta', 'theta', 'alpha', 'beta', 'gamma']\n", + "\n", + "for idx, band_name in enumerate(band_list):\n", + " ax = axes[idx]\n", + " matrix = band_matrices[band_name]\n", + " \n", + " im = ax.imshow(matrix, cmap='viridis', vmin=0, vmax=1, aspect='equal')\n", + " ax.set_xticks(range(n_channels))\n", + " ax.set_yticks(range(n_channels))\n", + " ax.set_xticklabels(channel_names, fontsize=9)\n", + " ax.set_yticklabels(channel_names, fontsize=9)\n", + " ax.set_title(f'{band_name.capitalize()}', fontsize=12, \n", + " color=COLORS[band_name], fontweight='bold')\n", + " \n", + " # Add colorbar\n", + " plt.colorbar(im, ax=ax, shrink=0.7)\n", + "\n", + "# Remove last empty subplot and add explanation\n", + "axes[5].axis('off')\n", + "axes[5].text(0.5, 0.6, 'Expected coherence patterns:', \n", + " ha='center', va='center', fontsize=11, fontweight='bold',\n", + " transform=axes[5].transAxes)\n", + "axes[5].text(0.5, 0.45, '• Theta: Fz-Cz high', \n", + " ha='center', va='center', fontsize=10, color=COLORS['theta'],\n", + " transform=axes[5].transAxes)\n", + "axes[5].text(0.5, 0.35, '• Alpha: Pz-Oz high', \n", + " ha='center', va='center', fontsize=10, color=COLORS['alpha'],\n", + " transform=axes[5].transAxes)\n", + "axes[5].text(0.5, 0.25, '• Beta: Fz-Pz high', \n", + " ha='center', va='center', fontsize=10, color=COLORS['beta'],\n", + " transform=axes[5].transAxes)\n", + "axes[5].text(0.5, 0.15, '• Gamma: Cz-Oz high', \n", + " ha='center', va='center', fontsize=10, color=COLORS['gamma'],\n", + " transform=axes[5].transAxes)\n", + "\n", + "plt.suptitle('Coherence Matrices Across Frequency Bands', fontsize=14, y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 This visualization shows how connectivity patterns differ across frequency bands!\")\n", + "print(\" Each band reveals different functional connections between brain regions.\")" + ] + }, + { + "cell_type": "markdown", + "id": "abb0c734", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 9: Coherence for Hyperscanning\n", + "\n", + "### Inter-Brain Coherence\n", + "\n", + "In hyperscanning, we record from **two participants simultaneously**. This creates a unique opportunity:\n", + "\n", + "**Between-brain coherence is NOT affected by volume conduction!**\n", + "\n", + "Since the two brains are in separate heads, any coherence between them must reflect true coupling (or common external input).\n", + "\n", + "### The Hyperscanning Coherence Structure\n", + "\n", + "For a pair of participants:\n", + "- **Within-P1**: Coherence between P1's channels\n", + "- **Within-P2**: Coherence between P2's channels \n", + "- **Between**: Coherence between P1 and P2 channels\n", + "\n", + "### Research Findings\n", + "\n", + "Inter-brain coherence has been found to:\n", + "- Increase during cooperation and social interaction\n", + "- Predict task performance in joint tasks\n", + "- Show frequency-specific patterns (theta for memory, alpha for attention)\n", + "- Distinguish real pairs from pseudo-pairs (shuffled data)" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "6c665ef3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean within-P1 coherence: 0.071\n", + "Mean within-P2 coherence: 0.068\n", + "Mean between-brain coherence: 0.104\n", + "Between/within ratio: 1.501\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 12: Hyperscanning Coherence Matrix\n", + "# =============================================================================\n", + "#\n", + "# In hyperscanning, we record simultaneously from two participants.\n", + "# The coherence matrix has a block structure:\n", + "# - Within-P1 block (top-left): coherence between P1's channels\n", + "# - Within-P2 block (bottom-right): coherence between P2's channels\n", + "# - Between-brain blocks (off-diagonal): inter-brain connectivity\n", + "#\n", + "# Key insight: Between-brain coherence cannot be caused by volume conduction\n", + "# since the two brains are in separate heads!\n", + "# =============================================================================\n", + "\n", + "np.random.seed(42)\n", + "fs = 500\n", + "n_samples = 10000\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "n_ch_p1 = 6\n", + "n_ch_p2 = 6\n", + "ch_names_p1 = ['P1-F3', 'P1-F4', 'P1-C3', 'P1-C4', 'P1-P3', 'P1-P4']\n", + "ch_names_p2 = ['P2-F3', 'P2-F4', 'P2-C3', 'P2-C4', 'P2-P3', 'P2-P4']\n", + "\n", + "# Simulated inter-brain synchronization at alpha (10 Hz) - frontal channels only\n", + "inter_brain_sync = np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# P1 data\n", + "data_p1 = np.zeros((n_ch_p1, n_samples))\n", + "for i in range(n_ch_p1):\n", + " if i < 2: # Frontal channels share inter-brain sync\n", + " data_p1[i] = 0.8 * inter_brain_sync + 0.3 * np.random.randn(n_samples)\n", + " else:\n", + " data_p1[i] = np.random.randn(n_samples)\n", + "\n", + "# P2 data\n", + "data_p2 = np.zeros((n_ch_p2, n_samples))\n", + "for i in range(n_ch_p2):\n", + " if i < 2: # Frontal channels share inter-brain sync\n", + " data_p2[i] = 0.8 * inter_brain_sync + 0.3 * np.random.randn(n_samples)\n", + " else:\n", + " data_p2[i] = np.random.randn(n_samples)\n", + "\n", + "hyper_coh = compute_coherence_hyperscanning(data_p1, data_p2, fs, band=(8, 13), nperseg=512)\n", + "\n", + "# =============================================================================\n", + "# Visualization\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", + "\n", + "# --- Left panel: Full matrix ---\n", + "ax1 = axes[0]\n", + "full_matrix = hyper_coh['full']\n", + "n_total = n_ch_p1 + n_ch_p2\n", + "all_ch_names = ch_names_p1 + ch_names_p2\n", + "\n", + "im = ax1.imshow(full_matrix, cmap='RdYlBu_r', vmin=0, vmax=1, aspect='equal')\n", + "ax1.set_xticks(range(n_total))\n", + "ax1.set_yticks(range(n_total))\n", + "ax1.set_xticklabels(all_ch_names, fontsize=8, rotation=45, ha='right')\n", + "ax1.set_yticklabels(all_ch_names, fontsize=8)\n", + "ax1.set_title('Full Hyperscanning Coherence Matrix\\n(Alpha Band)', fontsize=12)\n", + "\n", + "# Block separators\n", + "ax1.axhline(n_ch_p1 - 0.5, color='white', linewidth=3)\n", + "ax1.axvline(n_ch_p1 - 0.5, color='white', linewidth=3)\n", + "\n", + "# Block labels on the left side, outside the matrix\n", + "ax1.annotate('P1', xy=(-0.15, 0.75), xycoords='axes fraction', fontsize=14, fontweight='bold', \n", + " color=COLORS['signal_1'], va='center', ha='center')\n", + "ax1.annotate('P2', xy=(-0.15, 0.25), xycoords='axes fraction', fontsize=14, fontweight='bold', \n", + " color=COLORS['signal_2'], va='center', ha='center')\n", + "\n", + "cbar1 = plt.colorbar(im, ax=ax1, shrink=0.7)\n", + "cbar1.set_label('Coherence', fontsize=10)\n", + "\n", + "# --- Right panel: Between-brain matrix only ---\n", + "ax2 = axes[1]\n", + "between_matrix = hyper_coh['between']\n", + "\n", + "im2 = ax2.imshow(between_matrix, cmap='RdYlBu_r', vmin=0, vmax=1, aspect='equal')\n", + "ax2.set_xticks(range(n_ch_p2))\n", + "ax2.set_yticks(range(n_ch_p1))\n", + "ax2.set_xticklabels([ch.replace('P2-', '') for ch in ch_names_p2], fontsize=10, rotation=45, ha='right')\n", + "ax2.set_yticklabels([ch.replace('P1-', '') for ch in ch_names_p1], fontsize=10)\n", + "ax2.set_xlabel('Participant 2', fontsize=12, color=COLORS['signal_2'], fontweight='bold')\n", + "ax2.set_ylabel('Participant 1', fontsize=12, color=COLORS['signal_1'], fontweight='bold')\n", + "ax2.set_title('Between-Brain Coherence\\n(Inter-Brain Connectivity)', fontsize=12)\n", + "\n", + "# Value annotations\n", + "for i in range(n_ch_p1):\n", + " for j in range(n_ch_p2):\n", + " val = between_matrix[i, j]\n", + " color = 'white' if val < 0.5 else 'black'\n", + " ax2.text(j, i, f'{val:.2f}', ha='center', va='center', fontsize=9, color=color)\n", + "\n", + "cbar2 = plt.colorbar(im2, ax=ax2, shrink=0.7)\n", + "cbar2.set_label('Coherence', fontsize=10)\n", + "\n", + "plt.tight_layout()\n", + "plt.subplots_adjust(left=0.08) # Extra space for P1/P2 labels\n", + "plt.show()\n", + "\n", + "stats = compute_global_coherence_hyperscanning(hyper_coh)\n", + "print(f\"Mean within-P1 coherence: {stats['mean_within_p1']:.3f}\")\n", + "print(f\"Mean within-P2 coherence: {stats['mean_within_p2']:.3f}\")\n", + "print(f\"Mean between-brain coherence: {stats['mean_between']:.3f}\")\n", + "print(f\"Between/within ratio: {stats['ratio_between_within']:.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "f8d397d5", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Lines show between-brain connections.\n", + "Frontal electrodes (F3, F4) show high inter-brain coherence — as expected from our simulation!\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 13: Circular Hyperscanning Plot\n", + "# =============================================================================\n", + "#\n", + "# This visualization shows inter-brain connectivity in a circular layout.\n", + "# Electrodes are positioned anatomically (frontal at top, parietal at bottom)\n", + "# so that homologous electrode pairs (e.g., P1-F3 ↔ P2-F3) are at the same height.\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 10))\n", + "\n", + "# Electrode positions - anatomically organized\n", + "# P1 on the left, P2 on the right, mirrored layout\n", + "# Frontal (F) at top, Central (C) in middle, Parietal (P) at bottom\n", + "\n", + "# Y positions (same for both participants)\n", + "y_positions = {\n", + " 'F3': 0.85, 'F4': 0.70,\n", + " 'C3': 0.50, 'C4': 0.35,\n", + " 'P3': 0.15, 'P4': 0.00\n", + "}\n", + "\n", + "# X positions\n", + "x_p1 = 0.2 # Left side\n", + "x_p2 = 0.8 # Right side\n", + "\n", + "# Store positions for drawing connections\n", + "positions_p1 = {}\n", + "positions_p2 = {}\n", + "\n", + "# Draw nodes and labels for P1\n", + "for i, name in enumerate(ch_names_p1):\n", + " electrode = name.split('-')[1]\n", + " y = y_positions[electrode]\n", + " positions_p1[i] = (x_p1, y)\n", + " \n", + " ax.scatter(x_p1, y, s=600, c=COLORS['signal_1'], zorder=5, \n", + " edgecolor='white', linewidth=2)\n", + " ax.text(x_p1 - 0.08, y, electrode, ha='right', va='center', \n", + " fontsize=11, fontweight='bold')\n", + "\n", + "# Draw nodes and labels for P2\n", + "for i, name in enumerate(ch_names_p2):\n", + " electrode = name.split('-')[1]\n", + " y = y_positions[electrode]\n", + " positions_p2[i] = (x_p2, y)\n", + " \n", + " ax.scatter(x_p2, y, s=600, c=COLORS['signal_2'], zorder=5, \n", + " edgecolor='white', linewidth=2)\n", + " ax.text(x_p2 + 0.08, y, electrode, ha='left', va='center', \n", + " fontsize=11, fontweight='bold')\n", + "\n", + "# Draw between-brain connections\n", + "between_matrix = hyper_coh['between']\n", + "threshold = 0.15\n", + "\n", + "for i in range(n_ch_p1):\n", + " for j in range(n_ch_p2):\n", + " coh_val = between_matrix[i, j]\n", + " if coh_val > threshold:\n", + " x1, y1 = positions_p1[i]\n", + " x2, y2 = positions_p2[j]\n", + " \n", + " # Draw curved connection using Bezier-like curve\n", + " n_points = 50\n", + " t = np.linspace(0, 1, n_points)\n", + " \n", + " # Control point at center with slight vertical offset\n", + " cx = 0.5\n", + " cy = (y1 + y2) / 2\n", + " \n", + " # Quadratic Bezier curve\n", + " x_curve = (1-t)**2 * x1 + 2*(1-t)*t * cx + t**2 * x2\n", + " y_curve = (1-t)**2 * y1 + 2*(1-t)*t * cy + t**2 * y2\n", + " \n", + " alpha = 0.4 + 0.6 * coh_val\n", + " linewidth = 2 + 5 * coh_val\n", + " \n", + " ax.plot(x_curve, y_curve, color=COLORS['high_sync'], \n", + " alpha=alpha, linewidth=linewidth, zorder=1)\n", + "\n", + "# Participant labels\n", + "ax.text(x_p1, 1.05, 'Participant 1', ha='center', fontsize=14, \n", + " fontweight='bold', color=COLORS['signal_1'])\n", + "ax.text(x_p2, 1.05, 'Participant 2', ha='center', fontsize=14, \n", + " fontweight='bold', color=COLORS['signal_2'])\n", + "\n", + "# Brain outline (simple ellipses)\n", + "from matplotlib.patches import Ellipse\n", + "ellipse_p1 = Ellipse((x_p1, 0.425), 0.25, 1.05, fill=False, \n", + " edgecolor=COLORS['signal_1'], linewidth=2, linestyle='--', alpha=0.5)\n", + "ellipse_p2 = Ellipse((x_p2, 0.425), 0.25, 1.05, fill=False, \n", + " edgecolor=COLORS['signal_2'], linewidth=2, linestyle='--', alpha=0.5)\n", + "ax.add_patch(ellipse_p1)\n", + "ax.add_patch(ellipse_p2)\n", + "\n", + "# Configure axes\n", + "ax.set_xlim(-0.1, 1.1)\n", + "ax.set_ylim(-0.15, 1.15)\n", + "ax.set_aspect('equal')\n", + "ax.axis('off')\n", + "ax.set_title('Inter-Brain Connectivity\\n(Between-Brain Coherence > 0.15)', fontsize=14, pad=10)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Lines show between-brain connections.\")\n", + "print(\"Frontal electrodes (F3, F4) show high inter-brain coherence — as expected from our simulation!\")" + ] + }, + { + "cell_type": "markdown", + "id": "16d0d672", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 10: Statistical Significance for Coherence\n", + "\n", + "**Estimated Time: 5 minutes**\n", + "\n", + "A critical question when analyzing coherence: **Is this coherence value statistically significant?**\n", + "\n", + "### The Problem with Raw Coherence\n", + "\n", + "Even for completely independent signals, coherence is never exactly zero due to:\n", + "- **Finite sample size**: Limited data means estimation noise\n", + "- **Spectral leakage**: FFT artifacts create spurious correlations\n", + "- **Segment averaging**: Random fluctuations don't perfectly cancel\n", + "\n", + "### Determining Significance\n", + "\n", + "**1. Analytical Threshold**\n", + "\n", + "For a coherence estimate from $N$ segments, the theoretical significance threshold at confidence level $\\alpha$ is:\n", + "\n", + "$$C_{threshold} = 1 - \\alpha^{1/(N-1)}$$\n", + "\n", + "**2. Surrogate Methods**\n", + "\n", + "More robust approach:\n", + "1. Shuffle one signal (break temporal relationship)\n", + "2. Compute coherence of shuffled pair\n", + "3. Repeat many times to build null distribution\n", + "4. Compare original coherence to null distribution" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "e3599073", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Analytical threshold (30 segments, α=0.05): 0.0981\n", + "Surrogate test p-value (alpha band): 0.0000\n", + "Significant (p < 0.05): True\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 14: Significance Testing Methods\n", + "# =============================================================================\n", + "#\n", + "# Two approaches to determine if coherence is statistically significant:\n", + "#\n", + "# 1. ANALYTICAL THRESHOLD: Based on the number of segments used in the estimate\n", + "# C_threshold = 1 - alpha^(1/(N-1))\n", + "#\n", + "# 2. SURROGATE METHODS: Shuffle one signal to break temporal coupling,\n", + "# compute coherence, repeat many times to build a null distribution.\n", + "# =============================================================================\n", + "\n", + "from src.coherence import coherence_significance_threshold, coherence_surrogate_test\n", + "from src.coherence import compute_coherence, compute_band_coherence\n", + "\n", + "fs = 256\n", + "n_samples = 4000\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Case 1: Independent signals (null hypothesis)\n", + "indep_1 = np.random.randn(n_samples)\n", + "indep_2 = np.random.randn(n_samples)\n", + "\n", + "# Case 2: Weakly coupled signals at 10 Hz\n", + "shared = np.sin(2 * np.pi * 10 * t)\n", + "coupled_1 = 0.3 * shared + 0.7 * np.random.randn(n_samples)\n", + "coupled_2 = 0.3 * shared + 0.7 * np.random.randn(n_samples)\n", + "\n", + "nperseg = 256\n", + "noverlap = 128\n", + "\n", + "freqs, coh_indep = compute_coherence(indep_1, indep_2, fs, nperseg, noverlap)\n", + "_, coh_coupled = compute_coherence(coupled_1, coupled_2, fs, nperseg, noverlap)\n", + "\n", + "# Analytical threshold\n", + "n_segments = int((n_samples - noverlap) / (nperseg - noverlap))\n", + "alpha = 0.05\n", + "threshold_analytical = coherence_significance_threshold(n_segments, alpha)\n", + "\n", + "# Surrogate test for alpha band\n", + "surrogate_result = coherence_surrogate_test(\n", + " coupled_1, coupled_2, fs, \n", + " band=(8, 12),\n", + " n_surrogates=200,\n", + " nperseg=nperseg,\n", + " seed=42\n", + ")\n", + "\n", + "# Build null distribution for plotting\n", + "np.random.seed(123)\n", + "null_distribution = np.zeros(200)\n", + "y_shuffled = coupled_2.copy()\n", + "for i in range(200):\n", + " np.random.shuffle(y_shuffled)\n", + " null_distribution[i] = compute_band_coherence(coupled_1, y_shuffled, fs, (8, 12), nperseg)\n", + "\n", + "# =============================================================================\n", + "# Plot\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# --- Top left: Independent signals ---\n", + "ax = axes[0, 0]\n", + "ax.fill_between(freqs, 0, threshold_analytical, alpha=0.3, color='gray', \n", + " label=f'Below threshold (α={alpha})')\n", + "ax.plot(freqs, coh_indep, color=COLORS['signal_1'], linewidth=2, label='Independent signals')\n", + "ax.axhline(threshold_analytical, color='red', linestyle='--', linewidth=2, \n", + " label=f'Threshold: {threshold_analytical:.3f}')\n", + "ax.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax.set_ylabel('Coherence', fontsize=12)\n", + "ax.set_title('Independent Signals: Below Threshold', fontsize=12, fontweight='bold')\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(0, 0.5)\n", + "ax.legend(loc='upper right', fontsize=9)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# --- Top right: Coupled signals ---\n", + "ax = axes[0, 1]\n", + "ax.fill_between(freqs, 0, threshold_analytical, alpha=0.3, color='gray')\n", + "ax.plot(freqs, coh_coupled, color=COLORS['signal_2'], linewidth=2, label='Coupled signals (10 Hz)')\n", + "ax.axhline(threshold_analytical, color='red', linestyle='--', linewidth=2, \n", + " label=f'Threshold: {threshold_analytical:.3f}')\n", + "\n", + "mask_sig = coh_coupled > threshold_analytical\n", + "ax.fill_between(freqs, threshold_analytical, coh_coupled, where=mask_sig, \n", + " alpha=0.5, color=COLORS['high_sync'], label='Significant')\n", + "\n", + "ax.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax.set_ylabel('Coherence', fontsize=12)\n", + "ax.set_title('Coupled Signals: Peak Exceeds Threshold at 10 Hz', fontsize=12, fontweight='bold')\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(0, 1)\n", + "ax.legend(loc='upper right', fontsize=9)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# --- Bottom left: Surrogate distribution ---\n", + "ax = axes[1, 0]\n", + "observed_coherence = surrogate_result['observed']\n", + "\n", + "# Adjust x-axis to show both distribution and observed value clearly\n", + "x_max = max(null_distribution.max(), observed_coherence) * 1.1\n", + "\n", + "ax.hist(null_distribution, bins=25, density=True, alpha=0.7, color='gray', \n", + " label='Null distribution\\n(shuffled signals)')\n", + "ax.axvline(observed_coherence, color=COLORS['high_sync'], linewidth=3, \n", + " label=f'Observed: {observed_coherence:.3f}')\n", + "ax.axvline(surrogate_result['threshold_95'], color='red', linestyle='--', linewidth=2, \n", + " label=f'95th percentile: {surrogate_result[\"threshold_95\"]:.3f}')\n", + "\n", + "# Add annotation for p-value\n", + "ax.text(0.95, 0.95, f'p-value: {surrogate_result[\"pvalue\"]:.4f}', \n", + " transform=ax.transAxes, ha='right', va='top', fontsize=11,\n", + " bbox=dict(boxstyle='round', facecolor='white', alpha=0.9))\n", + "\n", + "ax.set_xlabel('Coherence (Alpha Band: 8-12 Hz)', fontsize=12)\n", + "ax.set_ylabel('Density', fontsize=12)\n", + "ax.set_title('Surrogate Test: Observed vs Null Distribution', fontsize=12, fontweight='bold')\n", + "ax.set_xlim(0, x_max)\n", + "ax.legend(loc='upper center', fontsize=9)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# --- Bottom right: Summary at 10 Hz ---\n", + "ax = axes[1, 1]\n", + "\n", + "# Compare both signals at the SAME frequency (10 Hz) for fair comparison\n", + "idx_10hz = np.argmin(np.abs(freqs - 10))\n", + "coherence_at_10hz = [coh_indep[idx_10hz], coh_coupled[idx_10hz]]\n", + "conditions = ['Independent', 'Coupled']\n", + "colors_bar = [COLORS['low_sync'], COLORS['high_sync']]\n", + "\n", + "bars = ax.bar(conditions, coherence_at_10hz, color=colors_bar, edgecolor='black', linewidth=2)\n", + "ax.axhline(threshold_analytical, color='red', linestyle='--', linewidth=2, \n", + " label=f'Significance threshold: {threshold_analytical:.3f}')\n", + "\n", + "# Value labels inside bars\n", + "for bar, val in zip(bars, coherence_at_10hz):\n", + " label_y = val - 0.05 if val > 0.15 else val + 0.02\n", + " label_color = 'white' if val > 0.15 else 'black'\n", + " va = 'top' if val > 0.15 else 'bottom'\n", + " ax.text(bar.get_x() + bar.get_width()/2, label_y, f'{val:.3f}', \n", + " ha='center', va=va, fontsize=12, fontweight='bold', color=label_color)\n", + "\n", + "ax.set_ylabel('Coherence at 10 Hz', fontsize=12)\n", + "ax.set_title('Comparison at Target Frequency (10 Hz)', fontsize=12, fontweight='bold')\n", + "ax.set_ylim(0, 1)\n", + "ax.legend(loc='upper right', fontsize=9)\n", + "ax.grid(True, alpha=0.3, axis='y')\n", + "\n", + "fig.suptitle('Statistical Significance Testing for Coherence', fontsize=14, fontweight='bold')\n", + "plt.tight_layout(rect=[0, 0, 1, 0.96])\n", + "plt.show()\n", + "\n", + "print(f\"Analytical threshold ({n_segments} segments, α=0.05): {threshold_analytical:.4f}\")\n", + "print(f\"Surrogate test p-value (alpha band): {surrogate_result['pvalue']:.4f}\")\n", + "print(f\"Significant (p < 0.05): {surrogate_result['pvalue'] < 0.05}\")" + ] + }, + { + "cell_type": "markdown", + "id": "5518feee", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 11: Comparison with scipy.signal.coherence\n", + "\n", + "### Validating Our Implementation\n", + "\n", + "While we implemented coherence from scratch for educational purposes, it's important to validate our implementation against the standard library. `scipy.signal.coherence` is the reference implementation used in production code.\n", + "\n", + "**Why implement ourselves?**\n", + "- **Understanding**: Building it helps you understand what's happening\n", + "- **Flexibility**: Easy to extend for custom metrics\n", + "- **Foundation**: Basis for imaginary coherence and other variants\n", + "\n", + "**When to use scipy?**\n", + "- Production code where speed matters\n", + "- When you need a validated, tested implementation" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "ecf1b075", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "📊 Implementation Comparison:\n", + " Maximum absolute difference: 0.00e+00\n", + " Correlation between implementations: 1.000000\n", + "\n", + "✅ Implementations match!\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 15: Comparison with scipy.signal.coherence\n", + "# =============================================================================\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Create test signals\n", + "fs = 256\n", + "duration = 5\n", + "n_samples = int(fs * duration)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Signals with known coherence\n", + "shared = np.sin(2 * np.pi * 10 * t)\n", + "x = shared + 0.3 * np.random.randn(n_samples)\n", + "y = shared + 0.5 * np.random.randn(n_samples)\n", + "\n", + "# Compare implementations\n", + "comparison = compare_with_scipy_coherence(x, y, fs, nperseg=256)\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n", + "\n", + "# Left: Both coherence spectra\n", + "freqs_our, coh_our = compute_coherence(x, y, fs, nperseg=256)\n", + "from scipy.signal import coherence as scipy_coherence\n", + "freqs_scipy, coh_scipy = scipy_coherence(x, y, fs=fs, nperseg=256)\n", + "\n", + "axes[0].plot(freqs_our, coh_our, color=COLORS['signal_1'], linewidth=2, \n", + " label='Our implementation')\n", + "axes[0].plot(freqs_scipy, coh_scipy, '--', color=COLORS['signal_2'], linewidth=2, \n", + " label='scipy.signal.coherence')\n", + "axes[0].set_xlabel('Frequency (Hz)', fontsize=11)\n", + "axes[0].set_ylabel('Coherence', fontsize=11)\n", + "axes[0].set_title('Coherence Spectra Comparison', fontsize=12, fontweight='bold')\n", + "axes[0].legend()\n", + "axes[0].set_xlim(0, 50)\n", + "axes[0].set_ylim(0, 1)\n", + "axes[0].grid(True, alpha=0.3)\n", + "\n", + "# Middle: Scatter plot\n", + "axes[1].scatter(coh_scipy, coh_our, alpha=0.5, color=COLORS['signal_1'], s=20)\n", + "axes[1].plot([0, 1], [0, 1], 'k--', linewidth=1, label='Perfect match')\n", + "axes[1].set_xlabel('scipy coherence', fontsize=11)\n", + "axes[1].set_ylabel('Our coherence', fontsize=11)\n", + "axes[1].set_title('Point-by-Point Comparison', fontsize=12, fontweight='bold')\n", + "axes[1].set_xlim(0, 1)\n", + "axes[1].set_ylim(0, 1)\n", + "axes[1].set_aspect('equal')\n", + "axes[1].legend()\n", + "axes[1].grid(True, alpha=0.3)\n", + "\n", + "# Right: Difference\n", + "diff = coh_our - coh_scipy\n", + "axes[2].plot(freqs_our, diff, color=COLORS['signal_2'], linewidth=1.5)\n", + "axes[2].axhline(0, color='black', linestyle='--', linewidth=1)\n", + "axes[2].fill_between(freqs_our, diff, alpha=0.3, color=COLORS['signal_2'])\n", + "axes[2].set_xlabel('Frequency (Hz)', fontsize=11)\n", + "axes[2].set_ylabel('Difference (Our - scipy)', fontsize=11)\n", + "axes[2].set_title('Implementation Difference', fontsize=12, fontweight='bold')\n", + "axes[2].set_xlim(0, 50)\n", + "axes[2].grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print comparison statistics\n", + "print(\"\\n📊 Implementation Comparison:\")\n", + "print(f\" Maximum absolute difference: {comparison['max_difference']:.2e}\")\n", + "print(f\" Correlation between implementations: {comparison['correlation']:.6f}\")\n", + "print(f\"\\n✅ Implementations match!\" if comparison['max_difference'] < 1e-10 else \n", + " f\"\\n⚠️ Small numerical differences (expected with different computation order)\")" + ] + }, + { + "cell_type": "markdown", + "id": "09e3097e", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 12: Hands-On Exercises\n", + "\n", + "Practice applying coherence analysis with these exercises. Solutions are provided at the end." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7f6e1dd2", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 1: Basic Coherence\n", + "# =============================================================================\n", + "# Generate two signals with a shared 10 Hz component and independent noise.\n", + "# Compute the coherence spectrum and identify the peak at 10 Hz.\n", + "# Then vary the noise level and observe how it affects coherence.\n", + "\n", + "# Your code here:\n", + "# fs = 256\n", + "# duration = 5\n", + "# ..." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "6110be1f", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution (uncomment to see):\n", + "# -----------------------------\n", + "# np.random.seed(42)\n", + "# fs = 256\n", + "# duration = 5\n", + "# n_samples = int(fs * duration)\n", + "# t = np.arange(n_samples) / fs\n", + "# \n", + "# shared_10hz = np.sin(2 * np.pi * 10 * t)\n", + "# \n", + "# noise_levels = [0.1, 0.5, 1.0, 2.0]\n", + "# fig, axes = plt.subplots(2, 2, figsize=(12, 8))\n", + "# \n", + "# for ax, noise in zip(axes.flatten(), noise_levels):\n", + "# x = shared_10hz + noise * np.random.randn(n_samples)\n", + "# y = shared_10hz + noise * np.random.randn(n_samples)\n", + "# freqs, coh = compute_coherence(x, y, fs, nperseg=256)\n", + "# ax.plot(freqs, coh, color=COLORS['signal_1'])\n", + "# ax.axvline(10, color='red', linestyle='--', alpha=0.5)\n", + "# ax.set_xlim(0, 50)\n", + "# ax.set_ylim(0, 1)\n", + "# ax.set_xlabel('Frequency (Hz)')\n", + "# ax.set_ylabel('Coherence')\n", + "# ax.set_title(f'Noise level = {noise}')\n", + "# ax.grid(True, alpha=0.3)\n", + "# \n", + "# plt.tight_layout()\n", + "# plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64c0c179", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 2: Phase Effects on Coherence\n", + "# =============================================================================\n", + "# Create two 10 Hz signals with different phase shifts (0°, 45°, 90°, 180°).\n", + "# Compute coherence for each case and verify that coherence is unchanged\n", + "# by phase shift (coherence only measures magnitude of relationship).\n", + "\n", + "# Your code here:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8d624afb", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution (uncomment to see):\n", + "# -----------------------------\n", + "# np.random.seed(42)\n", + "# fs = 256\n", + "# duration = 5\n", + "# n_samples = int(fs * duration)\n", + "# t = np.arange(n_samples) / fs\n", + "# \n", + "# x = np.sin(2 * np.pi * 10 * t) + 0.2 * np.random.randn(n_samples)\n", + "# phase_shifts = [0, 45, 90, 180]\n", + "# \n", + "# fig, axes = plt.subplots(2, 2, figsize=(12, 8))\n", + "# \n", + "# for ax, phase in zip(axes.flatten(), phase_shifts):\n", + "# phase_rad = np.deg2rad(phase)\n", + "# y = np.sin(2 * np.pi * 10 * t + phase_rad) + 0.2 * np.random.randn(n_samples)\n", + "# freqs, coh = compute_coherence(x, y, fs, nperseg=256)\n", + "# \n", + "# # Find coherence at 10 Hz\n", + "# idx_10hz = np.argmin(np.abs(freqs - 10))\n", + "# coh_at_10hz = coh[idx_10hz]\n", + "# \n", + "# ax.plot(freqs, coh, color=COLORS['signal_1'])\n", + "# ax.axvline(10, color='red', linestyle='--', alpha=0.5)\n", + "# ax.set_xlim(0, 50)\n", + "# ax.set_ylim(0, 1)\n", + "# ax.set_xlabel('Frequency (Hz)')\n", + "# ax.set_ylabel('Coherence')\n", + "# ax.set_title(f'Phase shift = {phase}° | Coh@10Hz = {coh_at_10hz:.3f}')\n", + "# ax.grid(True, alpha=0.3)\n", + "# \n", + "# plt.suptitle('Coherence is INDEPENDENT of phase shift!', fontsize=14, fontweight='bold')\n", + "# plt.tight_layout()\n", + "# plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1f1765b7", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 3: Volume Conduction Simulation\n", + "# =============================================================================\n", + "# Simulate a single source that appears at two electrodes (volume conduction).\n", + "# Compute coherence between the electrodes - it should be very high!\n", + "# This demonstrates spurious connectivity from volume conduction.\n", + "# Save this example for comparison with imaginary coherence (F02).\n", + "\n", + "# Your code here:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f4fbb2ca", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution (uncomment to see):\n", + "# -----------------------------\n", + "# np.random.seed(42)\n", + "# fs = 256\n", + "# duration = 5\n", + "# n_samples = int(fs * duration)\n", + "# t = np.arange(n_samples) / fs\n", + "# \n", + "# # Single neural source with alpha activity\n", + "# source = np.sin(2 * np.pi * 10 * t) + 0.5 * np.sin(2 * np.pi * 20 * t)\n", + "# source += 0.1 * np.random.randn(n_samples)\n", + "# \n", + "# # Both electrodes pick up the same source (volume conduction)\n", + "# # with only slightly different gains and tiny sensor noise\n", + "# electrode_1 = 1.0 * source + 0.01 * np.random.randn(n_samples)\n", + "# electrode_2 = 0.8 * source + 0.01 * np.random.randn(n_samples)\n", + "# \n", + "# freqs, coh = compute_coherence(electrode_1, electrode_2, fs, nperseg=256)\n", + "# \n", + "# fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n", + "# \n", + "# # Time series\n", + "# axes[0].plot(t[:500], electrode_1[:500], label='Electrode 1', color=COLORS['signal_1'])\n", + "# axes[0].plot(t[:500], electrode_2[:500], label='Electrode 2', color=COLORS['signal_2'], alpha=0.7)\n", + "# axes[0].set_xlabel('Time (s)')\n", + "# axes[0].set_ylabel('Amplitude')\n", + "# axes[0].set_title('Signals (nearly identical due to volume conduction)')\n", + "# axes[0].legend()\n", + "# \n", + "# # Coherence\n", + "# axes[1].plot(freqs, coh, color=COLORS['signal_1'], linewidth=2)\n", + "# axes[1].axhline(0.99, color='red', linestyle='--', label='Near-perfect coherence')\n", + "# axes[1].set_xlim(0, 50)\n", + "# axes[1].set_ylim(0, 1.05)\n", + "# axes[1].set_xlabel('Frequency (Hz)')\n", + "# axes[1].set_ylabel('Coherence')\n", + "# axes[1].set_title('Spurious coherence from volume conduction!')\n", + "# axes[1].legend()\n", + "# \n", + "# plt.tight_layout()\n", + "# plt.show()\n", + "# \n", + "# print(\"⚠️ This high coherence is NOT true connectivity - it's volume conduction!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "7209248d", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 4: Band Coherence Analysis\n", + "# =============================================================================\n", + "# Generate multi-frequency signals with:\n", + "# - High coupling in alpha (8-13 Hz)\n", + "# - Low coupling in beta (13-30 Hz)\n", + "# - Medium coupling in theta (4-8 Hz)\n", + "# Compute band-averaged coherence and verify the pattern matches your design.\n", + "\n", + "# Your code here:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "1e987520", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution (uncomment to see):\n", + "# -----------------------------\n", + "# np.random.seed(42)\n", + "# fs = 256\n", + "# duration = 8\n", + "# n_samples = int(fs * duration)\n", + "# t = np.arange(n_samples) / fs\n", + "# \n", + "# # Shared components at different levels\n", + "# theta_shared = 0.5 * np.sin(2 * np.pi * 6 * t) # Medium coupling\n", + "# alpha_shared = 1.0 * np.sin(2 * np.pi * 10 * t) # High coupling\n", + "# beta_indep_1 = np.sin(2 * np.pi * 20 * t) # Independent (low coupling)\n", + "# beta_indep_2 = np.sin(2 * np.pi * 21 * t) # Different frequency\n", + "# \n", + "# x = theta_shared + alpha_shared + beta_indep_1 + 0.3 * np.random.randn(n_samples)\n", + "# y = theta_shared + alpha_shared + beta_indep_2 + 0.3 * np.random.randn(n_samples)\n", + "# \n", + "# # Compute band coherence\n", + "# band_coh = compute_all_band_coherence(x, y, fs, nperseg=256)\n", + "# \n", + "# # Visualize\n", + "# fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n", + "# \n", + "# # Full spectrum\n", + "# freqs, coh = compute_coherence(x, y, fs, nperseg=256)\n", + "# axes[0].plot(freqs, coh, color=COLORS['signal_1'])\n", + "# axes[0].axvspan(4, 8, alpha=0.2, color=COLORS['theta'], label='Theta')\n", + "# axes[0].axvspan(8, 13, alpha=0.2, color=COLORS['alpha'], label='Alpha')\n", + "# axes[0].axvspan(13, 30, alpha=0.2, color=COLORS['beta'], label='Beta')\n", + "# axes[0].set_xlim(0, 40)\n", + "# axes[0].set_ylim(0, 1)\n", + "# axes[0].set_xlabel('Frequency (Hz)')\n", + "# axes[0].set_ylabel('Coherence')\n", + "# axes[0].set_title('Full Coherence Spectrum')\n", + "# axes[0].legend()\n", + "# \n", + "# # Band bars\n", + "# bands = ['theta', 'alpha', 'beta']\n", + "# colors = [COLORS['theta'], COLORS['alpha'], COLORS['beta']]\n", + "# values = [band_coh['theta'], band_coh['alpha'], band_coh['beta']]\n", + "# axes[1].bar(bands, values, color=colors, edgecolor='black')\n", + "# axes[1].set_ylim(0, 1)\n", + "# axes[1].set_ylabel('Band-Averaged Coherence')\n", + "# axes[1].set_title('Expected: Alpha > Theta > Beta')\n", + "# \n", + "# plt.tight_layout()\n", + "# plt.show()\n", + "# \n", + "# print(f\"Theta: {band_coh['theta']:.3f} (medium)\")\n", + "# print(f\"Alpha: {band_coh['alpha']:.3f} (high)\")\n", + "# print(f\"Beta: {band_coh['beta']:.3f} (low)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c61ed098", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 5: Coherence Matrix with Cluster Structure\n", + "# =============================================================================\n", + "# Create 8-channel simulated data where:\n", + "# - Channels 1-4 (cluster 1) share some activity\n", + "# - Channels 5-8 (cluster 2) share different activity\n", + "# - Little connection between clusters\n", + "# Compute and visualize the coherence matrix. Do you see the cluster structure?\n", + "\n", + "# Your code here:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "17b1a6b8", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution (uncomment to see):\n", + "# -----------------------------\n", + "# np.random.seed(42)\n", + "# fs = 256\n", + "# duration = 10\n", + "# n_samples = int(fs * duration)\n", + "# t = np.arange(n_samples) / fs\n", + "# \n", + "# # Filter function for broadband sources\n", + "# from scipy.signal import butter, filtfilt\n", + "# def bp_filter(data, low, high, fs):\n", + "# b, a = butter(4, [low/(fs/2), high/(fs/2)], btype='band')\n", + "# return filtfilt(b, a, data)\n", + "# \n", + "# # Cluster sources (broadband in alpha)\n", + "# source_1 = bp_filter(np.random.randn(n_samples), 8, 13, fs)\n", + "# source_2 = bp_filter(np.random.randn(n_samples), 8, 13, fs)\n", + "# \n", + "# # Build 8 channels\n", + "# data = np.zeros((8, n_samples))\n", + "# for i in range(4):\n", + "# noise = bp_filter(np.random.randn(n_samples), 8, 13, fs)\n", + "# data[i] = 0.7 * source_1 + 0.3 * noise\n", + "# for i in range(4, 8):\n", + "# noise = bp_filter(np.random.randn(n_samples), 8, 13, fs)\n", + "# data[i] = 0.7 * source_2 + 0.3 * noise\n", + "# \n", + "# # Compute coherence matrix\n", + "# coh_matrix = compute_coherence_matrix(data, fs, band=(8, 13), nperseg=512)\n", + "# \n", + "# # Visualize\n", + "# plt.figure(figsize=(8, 6))\n", + "# im = plt.imshow(coh_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "# plt.colorbar(im, label='Coherence')\n", + "# plt.xticks(range(8), [f'Ch{i+1}' for i in range(8)])\n", + "# plt.yticks(range(8), [f'Ch{i+1}' for i in range(8)])\n", + "# plt.axhline(3.5, color='white', linestyle='--', linewidth=2)\n", + "# plt.axvline(3.5, color='white', linestyle='--', linewidth=2)\n", + "# plt.title('Coherence Matrix - Can you see the two clusters?')\n", + "# plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a28317ca", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 6: Hyperscanning Coherence\n", + "# =============================================================================\n", + "# Simulate two \"participants\" (4 channels each).\n", + "# Add inter-brain coherence between specific channel pairs (e.g., Fz_P1 - Fz_P2).\n", + "# Compute full hyperscanning coherence and extract the between-brain matrix.\n", + "\n", + "# Your code here:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b0e47aff", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution (uncomment to see):\n", + "# -----------------------------\n", + "# np.random.seed(42)\n", + "# fs = 256\n", + "# duration = 10\n", + "# n_samples = int(fs * duration)\n", + "# t = np.arange(n_samples) / fs\n", + "# \n", + "# # Shared inter-brain signal (simulating synchronization)\n", + "# shared_theta = np.sin(2 * np.pi * 6 * t)\n", + "# \n", + "# # Participant 1: 4 channels\n", + "# data_p1 = np.zeros((4, n_samples))\n", + "# data_p1[0] = 0.6 * shared_theta + 0.5 * np.random.randn(n_samples) # Fz synced\n", + "# data_p1[1] = 0.3 * np.random.randn(n_samples) # Cz not synced\n", + "# data_p1[2] = 0.3 * np.random.randn(n_samples) # Pz not synced\n", + "# data_p1[3] = 0.3 * np.random.randn(n_samples) # Oz not synced\n", + "# \n", + "# # Participant 2: 4 channels\n", + "# data_p2 = np.zeros((4, n_samples))\n", + "# data_p2[0] = 0.6 * shared_theta + 0.5 * np.random.randn(n_samples) # Fz synced\n", + "# data_p2[1] = 0.3 * np.random.randn(n_samples) # Cz not synced\n", + "# data_p2[2] = 0.3 * np.random.randn(n_samples) # Pz not synced\n", + "# data_p2[3] = 0.3 * np.random.randn(n_samples) # Oz not synced\n", + "# \n", + "# # Compute hyperscanning coherence\n", + "# hyper = compute_coherence_hyperscanning(data_p1, data_p2, fs, band=(4, 8), nperseg=256)\n", + "# \n", + "# # Visualize between-brain matrix\n", + "# fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "# \n", + "# ch_names = ['Fz', 'Cz', 'Pz', 'Oz']\n", + "# \n", + "# im = axes[0].imshow(hyper['between'], cmap='viridis', vmin=0, vmax=1)\n", + "# axes[0].set_xticks(range(4))\n", + "# axes[0].set_yticks(range(4))\n", + "# axes[0].set_xticklabels([f'{c}_P2' for c in ch_names])\n", + "# axes[0].set_yticklabels([f'{c}_P1' for c in ch_names])\n", + "# axes[0].set_title('Between-Brain Coherence (Theta)')\n", + "# plt.colorbar(im, ax=axes[0])\n", + "# \n", + "# # Summary stats\n", + "# stats = compute_global_coherence_hyperscanning(hyper)\n", + "# labels = ['Within P1', 'Within P2', 'Between']\n", + "# values = [stats['mean_within_p1'], stats['mean_within_p2'], stats['mean_between']]\n", + "# axes[1].bar(labels, values, color=[COLORS['subject_1'], COLORS['subject_2'], COLORS['high_sync']])\n", + "# axes[1].set_ylabel('Mean Coherence')\n", + "# axes[1].set_title('Coherence Summary')\n", + "# axes[1].set_ylim(0, 1)\n", + "# \n", + "# plt.tight_layout()\n", + "# plt.show()\n", + "# \n", + "# print(f\"Fz_P1 - Fz_P2 coherence: {hyper['between'][0, 0]:.3f} (should be high!)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c289ccb7", + "metadata": {}, + "outputs": [], + "source": [ + "# =============================================================================\n", + "# Exercise 7: Scipy Comparison\n", + "# =============================================================================\n", + "# Choose random signals, compute coherence with your implementation\n", + "# and with scipy.signal.coherence. Verify they match within numerical precision.\n", + "\n", + "# Your code here:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eb32a45e", + "metadata": {}, + "outputs": [], + "source": [ + "# Solution (uncomment to see):\n", + "# -----------------------------\n", + "# np.random.seed(123)\n", + "# fs = 256\n", + "# n_samples = 2000\n", + "# \n", + "# # Random signals\n", + "# x = np.random.randn(n_samples)\n", + "# y = 0.5 * x + 0.5 * np.random.randn(n_samples)\n", + "# \n", + "# # Our implementation\n", + "# freqs_our, coh_our = compute_coherence(x, y, fs, nperseg=256)\n", + "# \n", + "# # Scipy\n", + "# from scipy.signal import coherence as scipy_coh\n", + "# freqs_scipy, coh_scipy = scipy_coh(x, y, fs=fs, nperseg=256)\n", + "# \n", + "# # Compare\n", + "# max_diff = np.max(np.abs(coh_our - coh_scipy))\n", + "# \n", + "# plt.figure(figsize=(10, 4))\n", + "# plt.plot(freqs_our, coh_our, label='Our implementation', linewidth=2)\n", + "# plt.plot(freqs_scipy, coh_scipy, '--', label='scipy', linewidth=2)\n", + "# plt.xlabel('Frequency (Hz)')\n", + "# plt.ylabel('Coherence')\n", + "# plt.title(f'Implementation Comparison (max diff = {max_diff:.2e})')\n", + "# plt.legend()\n", + "# plt.grid(True, alpha=0.3)\n", + "# plt.show()\n", + "# \n", + "# if max_diff < 1e-10:\n", + "# print(\"✅ Implementations match perfectly!\")\n", + "# else:\n", + "# print(f\"⚠️ Small numerical differences: {max_diff:.2e}\")" + ] + }, + { + "cell_type": "markdown", + "id": "3fc56587", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 13: Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **Coherence** measures correlation in the frequency domain — \"how correlated are two signals at each frequency?\"\n", + "\n", + "2. **Formula**: $C_{xy}(f) = \\frac{|S_{xy}(f)|^2}{S_{xx}(f) \\cdot S_{yy}(f)}$ where $S_{xy}$ is the cross-spectrum\n", + "\n", + "3. **Range**: 0 (no relationship) to 1 (perfect linear relationship)\n", + "\n", + "4. **Estimation**: Computed using Welch's method with averaged segments — more segments means better estimate but worse frequency resolution\n", + "\n", + "5. **Phase-independent**: Coherence captures the magnitude of relationship only, phase shifts don't affect it\n", + "\n", + "6. **Volume conduction problem**: Creates spurious high coherence at zero phase lag — coherence cannot distinguish true connectivity from volume conduction\n", + "\n", + "7. **Band coherence**: Summarize coherence across frequency bands (delta, theta, alpha, beta, gamma)\n", + "\n", + "8. **Coherence matrix**: Symmetric matrix of all pairwise coherences, diagonal = 1\n", + "\n", + "9. **Hyperscanning advantage**: Inter-brain coherence is safe from volume conduction (separate heads!)\n", + "\n", + "10. **Significance testing**: Use theoretical threshold or surrogate testing to determine real vs. chance coherence\n", + "\n", + "### What's Next?\n", + "\n", + "In the next notebook (**F02: Imaginary Coherence**), we'll learn how to address the volume conduction problem by using only the imaginary part of coherence, which is zero for zero-phase-lag connections.\n", + "\n", + "---\n", + "\n", + "## Discussion Questions\n", + "\n", + "1. Two EEG channels show coherence = 0.8 at 10 Hz. What are at least three different explanations? How would you distinguish between them?\n", + "\n", + "2. You compute coherence between motor cortex and parietal electrodes during movement, finding high beta coherence. A colleague suggests it's muscle artifact. How do you investigate?\n", + "\n", + "3. Inter-brain theta coherence is higher for real pairs than pseudo-pairs during conversation. What does this tell you? What doesn't it tell you?\n", + "\n", + "4. Coherence is \"normalized by power\" and thus \"independent of amplitude.\" But how might amplitude still affect your coherence results?\n", + "\n", + "5. You want to compare coherence across subjects with different data lengths (10 min vs 2 min). What concerns arise? How might you address them?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/F_coherence_based/F02_imaginary_coherence.ipynb b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/F_coherence_based/F02_imaginary_coherence.ipynb new file mode 100644 index 0000000..d42814d --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/F_coherence_based/F02_imaginary_coherence.ipynb @@ -0,0 +1,2851 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "7117df48", + "metadata": {}, + "source": [ + "# F02: Imaginary Coherence (ImCoh)\n", + "\n", + "**Duration**: ~55 minutes \n", + "**Prerequisites**: F01 (Spectral Coherence), C01 (Volume Conduction Problem)\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "- Explain why standard coherence fails with volume conduction\n", + "- Understand imaginary coherence as a robust alternative\n", + "- Implement imaginary coherence computation\n", + "- Interpret imaginary coherence values and their sign\n", + "- Recognize the trade-off (sensitivity vs specificity)\n", + "- Apply imaginary coherence to hyperscanning analysis\n", + "\n", + "---" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "4a265a4b", + "metadata": {}, + "outputs": [], + "source": [ + "# Standard library\n", + "import sys\n", + "from pathlib import Path\n", + "from typing import Optional\n", + "\n", + "# Third-party\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "from scipy.signal import csd, welch\n", + "import mne\n", + "\n", + "# Local imports\n", + "sys.path.insert(0, str(Path.cwd().parents[2]))\n", + "from src.colors import COLORS\n", + "from src.coherence import (\n", + " compute_coherence,\n", + " compute_imaginary_coherence,\n", + " compute_abs_imaginary_coherence,\n", + " compute_all_band_imaginary_coherence,\n", + " compute_imaginary_coherence_matrix,\n", + " compute_imaginary_coherence_hyperscanning,\n", + " compute_band_coherence,\n", + " compute_band_imaginary_coherence,\n", + " compute_all_band_coherence,\n", + ")\n", + "\n", + "# Plot settings\n", + "plt.rcParams['figure.facecolor'] = 'white'\n", + "plt.rcParams['axes.facecolor'] = 'white'\n", + "plt.rcParams['axes.grid'] = True\n", + "plt.rcParams['grid.alpha'] = 0.3" + ] + }, + { + "cell_type": "markdown", + "id": "23316138", + "metadata": {}, + "source": [ + "## Section 1: The Problem with Standard Coherence\n", + "\n", + "### Recall from F01 and C01\n", + "\n", + "In F01, we learned that **coherence** measures frequency-specific correlation between signals. In C01, we explored the **volume conduction problem**: electrical signals from a single brain source spread across multiple electrodes.\n", + "\n", + "### The Problem\n", + "\n", + "When a single neural source is picked up by multiple electrodes due to volume conduction:\n", + "- The signals arrive at electrodes with **zero phase lag** (instantaneously)\n", + "- These zero-lag signals are nearly identical\n", + "- Standard coherence sees them as **highly correlated**!\n", + "\n", + "This creates a major issue: **standard coherence cannot distinguish between**:\n", + "1. **True neural connectivity** (real communication between brain regions)\n", + "2. **Volume conduction artifacts** (same source seen at multiple electrodes)\n", + "\n", + "### Why Magnitude is the Problem\n", + "\n", + "Standard coherence uses the **magnitude** of the cross-spectrum:\n", + "\n", + "$$C_{xy}(f) = \\frac{|S_{xy}(f)|^2}{S_{xx}(f) \\cdot S_{yy}(f)}$$\n", + "\n", + "The problem is that zero-lag connections produce a cross-spectrum with:\n", + "- **Purely REAL** component (on the x-axis in the complex plane)\n", + "- **Zero IMAGINARY** component\n", + "\n", + "True lagged connections, however, have both real AND imaginary components.\n", + "\n", + "### The Solution\n", + "\n", + "**Use only the imaginary part of the cross-spectrum!**\n", + "\n", + "> **Key Message**: Imaginary coherence ignores zero-lag contributions, eliminating volume conduction artifacts." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "c7c8cb3d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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POuss72effVbs/f/TTz/t9vEo7P6lp6d7H3vsMW+PHj3829CpUyfv9ddf7920aVOx94XvEBUV5U1OTva2bdvWe+qpp3pff/11b1paWqGX3759u/eRRx7x9urVy1utWjW3Da1atfIOGDDA+9Zbb3mzsrL86+r4TTfd5G3evLk3JiYm6OM5e/Zs70UXXeSed3ou1K5d2z2Hrr76au/kyZML3P60adO8AwcO9DZo0MAbGxvr9u/RRx/t/eabb/Ks9+2333r32Wcft32++yozZ850z72ePXt669at642Pj3fPQ23Xv//+u9v9h8rPo/9VdDAGAKGmXwz1ixBvgaXna3qpX9ciiRptqoT99ddft/PPP7+iNwcAAACosugphQqlWSYuuugia9eunVWrVs2VfbZp08YGDRrkSj0rE5Uaa8pT3VeVqmqMdqtWrVyp9cMPP1ziKW1DSU0W8/dvQPGohPm+++5zZc0qV9aUzSppPvzww92MMnvaiwC7nqOBB/WBaNSokZvdR6XxAAAAAMIPPaVQIdSc8IYbbrAnn3zSfXnU+GeNU9YXdo0x1hS3Gletcdx33nlnxD9KM2bMcKHO5s2b3XhqjfFWKKWgSjOljBw50o39btu2bUVvapWhMfKBjSHLw9ixY12Dyo0bN1rHjh3dGH4FU+rdoKDk6quvdmPvfTPpYM9o3/qmjVaPCTXl/PLLL13PAjVJ1f4HAAAAED4IpVAh1PROgZQaA6oZn6qjAmna32eeeSZkjRfL23XXXecCKQUhqgLLT80aU1JSKmTbqqrmzZuXexCpppKigPXss88usM64cePs1ltvLdftqEr0GsrfJPaVV16xwYMHuwahhFIAAABAeGH4HkJu/vz5bupTVTVodof8gZRoGJ9mafBN/Svq/aJhOaqk0tSknTp1crNfBPaE0awsqkzRbBE6T8Pjrr322qDhlmarUF8ZraN1NZWpZqLQ+oF9hjSjhaaB1bA7bZdmvFDVy2WXXeamgi0OhU66XLBASnwzafioR4/uq+6bZkbRED+dr+oqTaerYY/BpKam2rBhw6xz587+be3fv3+BaYMD19c+7tatm5u1o2bNmtazZ09XnZaVleVCE22HqP9S4PAo9eUR/fWd/vrrr10lmKab9fUbCjw/P9/15w8SfMMFNdXsWWed5cIGXaf2gx5/mTVrlhuapcdN55166qlBp5stjK7fd998Arf1+++/dzOQaL/ouappcUsSkqoKSuGqhugFC6R826B9kJ96HWkaZD3eOuj47vafpgvWDDXaFxoeqKGiun1R5aGeYxoi26BBAxfQaJafwu67qos0y4ruu67rwgsvLNG+1evntddec8+F5ORkdz29e/d2ywJ98MEH7jaPOeaYAr29ijqvJLTtut96TWmWnqJ8/vnnduaZZ7qKRd/rQbP3fPrppwXWDXyN6j3tpJNOstq1a7vb0tBMhZLBrF271oYOHepuQ+87em6rSlLvXUAkU/WngvjGjRu714ZvRqai6D1Ms2nptaDXRLD3OQAAULkRSiHk9KEzJyfHLr30UvcFuSj6oJrfVVddZQ888ID7kqsAqWvXrm65ghd9edcXy//7v/9z1UktWrSwp556yi3X9KU+K1eudF+6NUWuqrX0JVHBgXrQaOpVbZ9oeJe+WCtYUHim29aXUE1nqmlZd/cl10ehhnoH6XZLQgGMbl/hwpAhQ9wQx59++slNbaupWANpiJiCBw151JdjhWb6sqsAS2FF/i8I+nKsfaBAQ1Mp6/r1Bb5hw4b+HlcKlhRyifaljvsO+ae//fjjj+3kk092gaACEQ1R3NNeTAceeKCbLleBkAIcDXM84ogj3Bd4BUbap9pmPRcUHChQKAsa7uX7cqX7osdeVW7FncZYIYW+oGl6XwWfJXmOK8zSfVIgp35rOui4rkfhaDB6Lug5rxBFrytVgT3//POuQkjD1hTY6fHTeQoqH330UfcaCkb7URVF+oLoe30pJNNjocdkdxQg6bWk7dbrQ6HixRdf7J5PWqZhuz6aYliP7Xfffedep4GBj56/en/whWVlYXfXo6o1hcC6r9rX2g+ahln7T+8BwWhbNR23Xn963PT81LBNvebyB3kaptmrVy83ZNP3fqLQTeG8riP/axqIJHqN64edZ599tljr671dPzTotaKhtnq/0XvF6NGjy31bAQBAGKno6f9Q9WgqXz31xowZU6LLadpQXa5p06beJUuW5DkvJyfH26ZNG3f+qFGj8px34403uuWaOtfnf//7n1s2YsSIArezYcMG//GvvvrKrXfttdcWWE/TzmqK2OK47rrr3PVo+taHH37Y++uvvxY59atvSl4dbrnlljzn6f5puaZuDaSpcbX85ZdfzrN8zZo13mbNmnnr1avn3bFjh3/5Kaec4ta/7bbbgk4bHDi9bFFTAGsaW9/0tj/88EOh5+tvfoVNz+u770OHDs2zfMiQIW55rVq18jx2mir6mGOOcedNmTLFWxy6P/nfAn3bqil0J06c6F+enZ3tf95OmjRpt9f9xhtvuHXPOeccb0mMHz/eXa5jx47ezZs355kOea+99nLnTZgwocD+0+GLL77wL8/MzPR269bN6/F43BTagdP7bt261Vu/fn03FbTWy3/fg72G9BzU8iuvvHK302e/9NJLbt0LLrggz/VnZGR4jz/+eHfen3/+med1pCmRNT2wphzWvt5///3dtuffjqLoetu3b19g+WuvveZ/7e3uOblgwYICl9f26bVWs2bNPK/ZwNfoQw89lOcymrpayzU9eSDdL01Rnf9+zZkzx1ujRo0Cr2kgUuWfvj4YTVneuXPnPMtOP/10b//+/ct56wAAQDihpxRCbvXq1e5v06ZNS3V5DevL3w/ol19+cVUIqs7RcLVAd911l7366qv23nvvueqRuLg4/3ka4pafhoPlF2w9Dasqrvvvv99VUqja5uabb3bLVJ2kX5U17EfNmQOH7/lo2e23355nme6fqmJUjaEqKFVeqApMFTFqGK9fmgOpckn7TBU4Y8aMseOOO849Bp999pmr1sg/dE52V8EWjKqINGyprGj/ata6QKqE0mOoyjPdn8AKGFXdqJJKw6Y0HGRPqLpHFWo+eqxU0aOhJn/88YeraimP5/ibb77p/uoxUdWTjyrfVJ2mCiRVDmlIWSBVGgRWcWnCAFX3/PXXX67ia5999vGfp+F9eg5oKN3y5cvd8NVAegzzv4b0HHzhhRfc81cVTVFRhRfZqhechrCpWkLb4aPXnV4HGuL5/vvvu+et73HWaVW+6fHVtmkooqoX82/H7uh14Hs+q9G5nguqQtL2qjpsd1q3bl1gmbZP1ZHXX3+9e+z79euX53ztP72+AqkiTM9dre8zbdo0d79UTZX/fqnyUlVtTzzxhKsC7NKlS4nuNxCJNKw9/78Zem2oYqowGRkZ7hA4aYr+bdW/CWVVUQkAAMqGfqdSuxiNPinq+wOhFCKOhpzlpy98oiFewb5UaniXegRpKI6GI+mLuobqXHHFFS7cOeqoo9yXzfxfSjVMTkP6HnroIfcFV1+YtZ56SgV+ANbQg/zD4zT0zdfvKiEhwQ2Buvfee11wMnnyZHeYOnWqO7z44ouuZ1P+21d/p2Dhl0IJbbfut77c68uvhhzqw3qwkEn9s2T27NnuPvz555/uTUJhRmBwUNaPy55QDy/19Qmkx0LUAyv/FxDfeSUdIhmMLzAJ5AuY1LC+vBT1PNZj5Xuu5Zd/KGXg/ijqPO2r/KFU/sBL9BzU9SiU05DSwmaJ1HDXv//+2/3DoyGg+alPme95GEivT702brnlFneebkuvuZJSzy9fHzoFierXpLBOgVKw+5WfhrTqdjWccMmSJf6eXD7Bnlva1vz/yAZ7rvz222/ur4b0BXuN+vaJ/hJKoSpQeJ//BxCd3rp1q3vtBfsx6MEHH8zTaxIAAIS/ZcuWFfljPaEUQk49i/TFS31y2rdvX+LLB6vi0YfYws4L/BLuW0+Bkb4k6suhQqKPPvrILe/QoYPryeSbpUvVKlpP1Vaq8NC6ol5B+gKtfkO+oCD/B2WFV4FN2EUvxksuucQdRNVdqpxQ/yFVhqjB9O7ua+ByX6N1/VLsqxjToaieH4GXa9KkiZWV0lRXFUUNsvOLiYnZ7Xm+4KO8btvXb2x3z3HRc7wk9PxUwKHm4sH2r4I433O4vPZVcZ9zwajnlMJO3e+ivjj6noeBFB7ddtttrvJBr4/Aisbi0vtJ/sCruPQaUkXZ0qVLXZWcKjhUqahwS69vvTYDKzRK+lzxvUbVdF6HkuwbADvpxyT1i/TR+5EqpxUiB3stIjLofV+Vrvohoahf0gFUHbwvVA763qK+thqpURRCKYScvvCp4kKVPhpuVlLBSvR9H0YLmyHMN5wq8EOrqhE++eQT98Vcw+BUHfG///3PTj/9dFfp4Ru+pQ+8GjKlN0cNh1LFldZTlZWGVWnIkcKn/AFUcWj4nK5bFVI//vhjgfMLuz++5b4hXr77pYqQxx57bLe36xsqWNLQpCiFDZ3wfcDMP9ubFHf2wkjje+7oea7nTXE/ZOtx1PpqEK5hl/mreBT4lPcXr+I+54LxbZsqzVSNV1x6DZ5zzjn+5+Ydd9zhqhlLO8S3NDTEV4GUKrZ0+4FUPZU/MC4p375Rw3QN1wWqOoX3+d9vdFqvlWBVUr6JIYJNgKL3DUKpyKV/9zIzM93jSCgFgPeFysP3nr67Ifb8HIGQU3ij6oOXXnppt7PXBatMCEbD3HwhQLDKA31B1ofcYJVZGr6mHkGq7FDYpC/+33zzTdAXlYbq3HTTTa4Hjm+Wtj1VVG8qDefSDHP5/fzzz3nutyo89GJXj47i0HAp3R/N5FecyiKtW5wKoWAU3BUWgPmGq1U2Gt6moZ8qVfX1iSrOc7yo57FvWbDheGXJ99wKpOegqoX0pS9Y3yUf/Qqioa2zZs0q0TBHVUgpGNZfzWqpqqJBgwa5LyqhoqpFCTbDYrB9UlK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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 1: Zero-lag vs Lagged Connections in Complex Plane\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Left: Complex plane showing zero-lag vs lagged\n", + "ax1 = axes[0]\n", + "\n", + "# Zero-lag connection (purely real)\n", + "zero_lag_real = 0.8\n", + "zero_lag_imag = 0.0\n", + "\n", + "# Lagged connection (has imaginary component)\n", + "lagged_magnitude = 0.7\n", + "lagged_phase = np.pi / 4 # 45 degrees\n", + "lagged_real = lagged_magnitude * np.cos(lagged_phase)\n", + "lagged_imag = lagged_magnitude * np.sin(lagged_phase)\n", + "\n", + "# Draw axes\n", + "ax1.axhline(y=0, color='gray', linewidth=0.5)\n", + "ax1.axvline(x=0, color='gray', linewidth=0.5)\n", + "\n", + "# Draw vectors\n", + "ax1.annotate('', xy=(zero_lag_real, zero_lag_imag), xytext=(0, 0),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS['signal_1'], lw=3))\n", + "ax1.annotate('', xy=(lagged_real, lagged_imag), xytext=(0, 0),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS['signal_2'], lw=3))\n", + "\n", + "# Labels\n", + "ax1.text(zero_lag_real + 0.05, zero_lag_imag + 0.1, 'Volume Conduction\\n(zero lag)', \n", + " fontsize=10, color=COLORS['signal_1'])\n", + "ax1.text(lagged_real + 0.05, lagged_imag + 0.05, 'True Connection\\n(with lag)', \n", + " fontsize=10, color=COLORS['signal_2'])\n", + "\n", + "# Show projections\n", + "ax1.plot([lagged_real, lagged_real], [0, lagged_imag], '--', \n", + " color=COLORS['signal_2'], alpha=0.5)\n", + "ax1.plot([0, lagged_real], [lagged_imag, lagged_imag], '--', \n", + " color=COLORS['signal_2'], alpha=0.5)\n", + "\n", + "# Highlight imaginary part\n", + "ax1.annotate('', xy=(0, lagged_imag), xytext=(0, 0),\n", + " arrowprops=dict(arrowstyle='->', color=COLORS['high_sync'], lw=2))\n", + "ax1.text(-0.15, lagged_imag/2, 'Imag', fontsize=10, color=COLORS['high_sync'], fontweight='bold')\n", + "\n", + "ax1.set_xlim(-0.2, 1.1)\n", + "ax1.set_ylim(-0.2, 0.8)\n", + "ax1.set_xlabel('Real Part', fontsize=12)\n", + "ax1.set_ylabel('Imaginary Part', fontsize=12)\n", + "ax1.set_title('Cross-Spectrum in Complex Plane', fontsize=14)\n", + "ax1.set_aspect('equal')\n", + "\n", + "# Right: What each metric captures\n", + "ax2 = axes[1]\n", + "\n", + "metrics = ['Standard\\nCoherence', 'Imaginary\\nCoherence']\n", + "volume_cond = [0.8, 0.0] # Standard sees it, ImCoh doesn't\n", + "true_conn = [0.7, 0.5] # Both see true connection (ImCoh sees less)\n", + "\n", + "x = np.arange(len(metrics))\n", + "width = 0.35\n", + "\n", + "bars1 = ax2.bar(x - width/2, volume_cond, width, label='Volume Conduction', \n", + " color=COLORS['signal_1'], alpha=0.8)\n", + "bars2 = ax2.bar(x + width/2, true_conn, width, label='True Connection', \n", + " color=COLORS['signal_2'], alpha=0.8)\n", + "\n", + "ax2.set_ylabel('Coherence Value', fontsize=12)\n", + "ax2.set_title('What Each Metric Detects', fontsize=14)\n", + "ax2.set_xticks(x)\n", + "ax2.set_xticklabels(metrics)\n", + "ax2.legend()\n", + "ax2.set_ylim(0, 1)\n", + "\n", + "# Add annotation\n", + "ax2.annotate('ImCoh = 0 for\\nvolume conduction!', \n", + " xy=(1 - width/2, 0.05), xytext=(0.5, 0.3),\n", + " arrowprops=dict(arrowstyle='->', color='black'),\n", + " fontsize=10, ha='center')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d51922ca", + "metadata": {}, + "source": [ + "## Section 2: Cross-Spectrum in the Complex Plane\n", + "\n", + "### Cross-Spectral Density is Complex\n", + "\n", + "The cross-spectral density $S_{xy}(f)$ is a **complex number** at each frequency:\n", + "\n", + "$$S_{xy}(f) = |S_{xy}(f)| \\times e^{i\\phi}$$\n", + "\n", + "Where:\n", + "- $|S_{xy}(f)|$ is the **magnitude** (coupling strength)\n", + "- $\\phi$ is the **phase difference** between X and Y\n", + "\n", + "### Real and Imaginary Parts\n", + "\n", + "We can decompose the cross-spectrum into real and imaginary parts:\n", + "\n", + "- $\\text{Real}(S_{xy}) = |S_{xy}| \\times \\cos(\\phi)$\n", + "- $\\text{Imag}(S_{xy}) = |S_{xy}| \\times \\sin(\\phi)$\n", + "\n", + "### Phase Relationships\n", + "\n", + "| Phase $\\phi$ | Real Part | Imaginary Part | Interpretation |\n", + "|--------------|-----------|----------------|----------------|\n", + "| 0° (zero lag) | Maximum | **Zero** | Volume conduction |\n", + "| 45° | Positive | Positive | Y leads X |\n", + "| 90° | Zero | Maximum | Y leads X by 1/4 cycle |\n", + "| 180° | Negative | Zero | Anti-phase |\n", + "| -45° | Positive | Negative | X leads Y |\n", + "\n", + "### Key Insight\n", + "\n", + "- **Volume conduction** → $\\phi \\approx 0$ → contributes to **REAL part only**\n", + "- **True connection** → $\\phi \\neq 0$ → contributes to **IMAGINARY part**\n", + "\n", + "This is why imaginary coherence can distinguish them!" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "7577350d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 2: Phase vs Real/Imaginary Components\n", + "# =============================================================================\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Left: Multiple vectors at different phases\n", + "ax1 = axes[0]\n", + "\n", + "phases = [0, np.pi/4, np.pi/2, 3*np.pi/4, np.pi]\n", + "labels = ['0° (Vol. Cond.)', '45°', '90°', '135°', '180°']\n", + "colors_list = [COLORS['signal_1'], COLORS['signal_2'], COLORS['signal_3'], \n", + " COLORS['signal_4'], COLORS['signal_5']]\n", + "\n", + "ax1.axhline(y=0, color='gray', linewidth=0.5)\n", + "ax1.axvline(x=0, color='gray', linewidth=0.5)\n", + "\n", + "magnitude = 0.8\n", + "for phase, label, color in zip(phases, labels, colors_list):\n", + " real = magnitude * np.cos(phase)\n", + " imag = magnitude * np.sin(phase)\n", + " ax1.annotate('', xy=(real, imag), xytext=(0, 0),\n", + " arrowprops=dict(arrowstyle='->', color=color, lw=2))\n", + " ax1.plot(real, imag, 'o', color=color, markersize=8)\n", + " # Offset labels\n", + " offset_x = 0.1 if real >= 0 else -0.25\n", + " offset_y = 0.05\n", + " ax1.text(real + offset_x, imag + offset_y, label, fontsize=9, color=color)\n", + "\n", + "ax1.set_xlim(-1.1, 1.1)\n", + "ax1.set_ylim(-0.3, 1.1)\n", + "ax1.set_xlabel('Real Part', fontsize=12)\n", + "ax1.set_ylabel('Imaginary Part', fontsize=12)\n", + "ax1.set_title('Cross-Spectrum Vectors at Different Phases', fontsize=14)\n", + "ax1.set_aspect('equal')\n", + "\n", + "# Right: Phase vs components (sinusoidal relationship)\n", + "ax2 = axes[1]\n", + "\n", + "phase_range = np.linspace(0, 2*np.pi, 100)\n", + "real_component = magnitude * np.cos(phase_range)\n", + "imag_component = magnitude * np.sin(phase_range)\n", + "\n", + "ax2.plot(np.degrees(phase_range), real_component, color=COLORS['signal_1'], \n", + " lw=2, label='Real(Sxy)')\n", + "ax2.plot(np.degrees(phase_range), imag_component, color=COLORS['high_sync'], \n", + " lw=2, label='Imag(Sxy)')\n", + "\n", + "ax2.axhline(y=0, color='gray', linewidth=0.5)\n", + "\n", + "# Highlight zero-lag points\n", + "ax2.axvline(x=0, color=COLORS['signal_1'], linestyle='--', alpha=0.5)\n", + "ax2.axvline(x=180, color=COLORS['signal_1'], linestyle='--', alpha=0.5)\n", + "ax2.axvline(x=360, color=COLORS['signal_1'], linestyle='--', alpha=0.5)\n", + "\n", + "# Annotations\n", + "ax2.annotate('Imag = 0\\n(zero lag)', xy=(0, 0), xytext=(30, -0.5),\n", + " arrowprops=dict(arrowstyle='->', color='black'),\n", + " fontsize=9)\n", + "\n", + "ax2.set_xlabel('Phase Difference (degrees)', fontsize=12)\n", + "ax2.set_ylabel('Component Value', fontsize=12)\n", + "ax2.set_title('Real and Imaginary vs Phase', fontsize=14)\n", + "ax2.legend(loc='upper right')\n", + "ax2.set_xlim(0, 360)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7bf602e6", + "metadata": {}, + "source": [ + "## Section 3: Defining Imaginary Coherence\n", + "\n", + "### Standard Coherence (Reminder)\n", + "\n", + "$$C_{xy}(f) = \\frac{|S_{xy}(f)|}{\\sqrt{S_{xx}(f) \\cdot S_{yy}(f)}}$$\n", + "\n", + "This uses the **magnitude** $|S_{xy}|$ of the cross-spectrum.\n", + "\n", + "### Imaginary Coherence (Nolte et al., 2004)\n", + "\n", + "$$\\text{ImCoh}_{xy}(f) = \\frac{\\text{Im}(S_{xy}(f))}{\\sqrt{S_{xx}(f) \\cdot S_{yy}(f)}}$$\n", + "\n", + "This uses only the **imaginary part** of the cross-spectrum.\n", + "\n", + "### Properties of Imaginary Coherence\n", + "\n", + "| Property | Standard Coherence | Imaginary Coherence |\n", + "|----------|-------------------|---------------------|\n", + "| Range | 0 to 1 | **-1 to +1** |\n", + "| Zero-lag sensitivity | High (problematic) | **Zero** (robust) |\n", + "| Sign | Always positive | **Can be negative** |\n", + "| Interpretation of sign | N/A | Phase lead/lag direction |\n", + "\n", + "### Interpreting the Sign\n", + "\n", + "- **ImCoh > 0**: Y leads X in phase (Y peaks before X)\n", + "- **ImCoh < 0**: X leads Y in phase (X peaks before Y)\n", + "- **ImCoh = 0**: No connection OR zero-lag connection\n", + "\n", + "### Absolute Imaginary Coherence\n", + "\n", + "Sometimes we use $|\\text{ImCoh}|$ when we only care about coupling strength, not direction:\n", + "- Range: 0 to 1\n", + "- Loses phase direction information\n", + "- Commonly used for connectivity matrices" + ] + }, + { + "cell_type": "markdown", + "id": "b39e0dc0", + "metadata": {}, + "source": [ + "## Section 4: Implementing Imaginary Coherence\n", + "\n", + "### Computation Steps\n", + "\n", + "1. Compute cross-spectrum $S_{xy}$ (complex-valued)\n", + "2. Compute power spectra $S_{xx}$, $S_{yy}$\n", + "3. Extract the imaginary part: $\\text{Im}(S_{xy})$\n", + "4. Normalize: $\\text{ImCoh} = \\frac{\\text{Im}(S_{xy})}{\\sqrt{S_{xx} \\times S_{yy}}}$\n", + "\n", + "Let's implement this step by step:" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2a78fbc7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ Imaginary coherence functions imported from src.coherence\n" + ] + } + ], + "source": [ + "# Functions imported from src.coherence:\n", + "# - compute_imaginary_coherence()\n", + "# - compute_abs_imaginary_coherence()\n", + "\n", + "print(\"✓ Imaginary coherence functions imported from src.coherence\")" + ] + }, + { + "cell_type": "markdown", + "id": "dc07925d", + "metadata": {}, + "source": [ + "## Section 5: Imaginary Coherence vs Volume Conduction\n", + "\n", + "This is the **key demonstration**: we'll show that imaginary coherence correctly identifies volume conduction artifacts while standard coherence is fooled.\n", + "\n", + "### Test Scenarios\n", + "\n", + "1. **Volume conduction**: Two electrodes pick up the SAME source (zero phase lag)\n", + "2. **True connectivity**: Two genuinely connected sources with a time lag" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ec0c6531", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulation functions defined!\n" + ] + } + ], + "source": [ + "def simulate_volume_conduction(\n", + " n_samples: int,\n", + " fs: float,\n", + " frequency: float,\n", + " noise_level: float = 0.1,\n", + " seed: int | None = None,\n", + ") -> tuple[NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"Simulate volume conduction: same source seen by two electrodes.\n", + " \n", + " Both signals are nearly identical (zero phase lag).\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " frequency : float\n", + " Frequency of the shared source in Hz.\n", + " noise_level : float, optional\n", + " Amount of independent noise. Default is 0.1.\n", + " seed : int | None, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " x, y : tuple[NDArray, NDArray]\n", + " Two signals with zero phase lag (volume conduction).\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " t = np.arange(n_samples) / fs\n", + " \n", + " # Shared source (seen by both electrodes)\n", + " source = np.sin(2 * np.pi * frequency * t)\n", + " \n", + " # Add small independent noise to each electrode\n", + " x = source + noise_level * np.random.randn(n_samples)\n", + " y = source + noise_level * np.random.randn(n_samples)\n", + " \n", + " return x, y\n", + "\n", + "\n", + "def simulate_lagged_connectivity(\n", + " n_samples: int,\n", + " fs: float,\n", + " frequency: float,\n", + " lag_samples: int,\n", + " noise_level: float = 0.1,\n", + " seed: int | None = None,\n", + ") -> tuple[NDArray[np.floating], NDArray[np.floating]]:\n", + " \"\"\"Simulate true connectivity with time lag.\n", + " \n", + " Signal y is a delayed version of signal x (non-zero phase lag).\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " frequency : float\n", + " Frequency of the signals in Hz.\n", + " lag_samples : int\n", + " Time lag in samples (y lags behind x).\n", + " noise_level : float, optional\n", + " Amount of independent noise. Default is 0.1.\n", + " seed : int | None, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " x, y : tuple[NDArray, NDArray]\n", + " Two signals with non-zero phase lag (true connectivity).\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " t = np.arange(n_samples) / fs\n", + " \n", + " # Source signal\n", + " source = np.sin(2 * np.pi * frequency * t)\n", + " \n", + " # X gets the source\n", + " x = source + noise_level * np.random.randn(n_samples)\n", + " \n", + " # Y gets a lagged version\n", + " y_shifted = np.roll(source, lag_samples)\n", + " y = y_shifted + noise_level * np.random.randn(n_samples)\n", + " \n", + " return x, y\n", + "\n", + "\n", + "print(\"Simulation functions defined!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "11c7c9a0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "============================================================\n", + "SUMMARY: Coherence vs Imaginary Coherence at 10 Hz\n", + "============================================================\n", + "\n", + "Volume Conduction scenario:\n", + " Standard Coherence: 1.000 (HIGH - falsely suggests connectivity)\n", + " Imaginary Coherence: 0.002 (≈0 - correctly rejects)\n", + "\n", + "True Connectivity scenario:\n", + " Standard Coherence: 1.000\n", + " Imaginary Coherence: -0.998 (non-zero - correctly detects)\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 3: Volume Conduction vs True Connectivity - THE KEY DEMO\n", + "# =============================================================================\n", + "\n", + "# Parameters\n", + "fs = 500\n", + "duration = 10\n", + "n_samples = int(fs * duration)\n", + "frequency = 10 # 10 Hz (alpha)\n", + "lag_samples = 12 # ~24ms lag at 500 Hz\n", + "\n", + "# Generate scenarios\n", + "x_vc, y_vc = simulate_volume_conduction(n_samples, fs, frequency, noise_level=0.1, seed=42)\n", + "x_tc, y_tc = simulate_lagged_connectivity(n_samples, fs, frequency, lag_samples, noise_level=0.1, seed=42)\n", + "\n", + "# Compute metrics for both scenarios\n", + "freqs_vc, coh_vc = compute_coherence(x_vc, y_vc, fs)\n", + "_, imcoh_vc = compute_imaginary_coherence(x_vc, y_vc, fs)\n", + "\n", + "freqs_tc, coh_tc = compute_coherence(x_tc, y_tc, fs)\n", + "_, imcoh_tc = compute_imaginary_coherence(x_tc, y_tc, fs)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 3, figsize=(14, 8))\n", + "\n", + "# Row 1: Volume Conduction\n", + "ax = axes[0, 0]\n", + "t_plot = np.arange(500) / fs # First second\n", + "ax.plot(t_plot, x_vc[:500], color=COLORS['signal_1'], label='Electrode 1', alpha=0.8)\n", + "ax.plot(t_plot, y_vc[:500], color=COLORS['signal_2'], label='Electrode 2', alpha=0.8)\n", + "ax.set_xlabel('Time (s)')\n", + "ax.set_ylabel('Amplitude')\n", + "ax.set_title('Volume Conduction: Signals', fontsize=12)\n", + "ax.legend(loc='upper right')\n", + "\n", + "ax = axes[0, 1]\n", + "ax.plot(freqs_vc, coh_vc, color=COLORS['signal_1'], lw=2)\n", + "ax.axvline(x=frequency, color='gray', linestyle='--', alpha=0.5)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Coherence')\n", + "ax.set_title('Standard Coherence (HIGH!)', fontsize=12)\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(0, 1)\n", + "\n", + "ax = axes[0, 2]\n", + "ax.plot(freqs_vc, imcoh_vc, color=COLORS['high_sync'], lw=2)\n", + "ax.axvline(x=frequency, color='gray', linestyle='--', alpha=0.5)\n", + "ax.axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Imaginary Coherence')\n", + "ax.set_title('ImCoh ≈ 0 (Correctly rejects!)', fontsize=12)\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(-0.5, 0.5)\n", + "\n", + "# Row 2: True Connectivity\n", + "ax = axes[1, 0]\n", + "ax.plot(t_plot, x_tc[:500], color=COLORS['signal_1'], label='Signal X', alpha=0.8)\n", + "ax.plot(t_plot, y_tc[:500], color=COLORS['signal_2'], label='Signal Y (lagged)', alpha=0.8)\n", + "ax.set_xlabel('Time (s)')\n", + "ax.set_ylabel('Amplitude')\n", + "ax.set_title('True Connectivity: Signals', fontsize=12)\n", + "ax.legend(loc='upper right')\n", + "\n", + "ax = axes[1, 1]\n", + "ax.plot(freqs_tc, coh_tc, color=COLORS['signal_1'], lw=2)\n", + "ax.axvline(x=frequency, color='gray', linestyle='--', alpha=0.5)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Coherence')\n", + "ax.set_title('Standard Coherence (HIGH)', fontsize=12)\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(0, 1)\n", + "\n", + "ax = axes[1, 2]\n", + "ax.plot(freqs_tc, imcoh_tc, color=COLORS['high_sync'], lw=2)\n", + "ax.axvline(x=frequency, color='gray', linestyle='--', alpha=0.5)\n", + "ax.axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Imaginary Coherence')\n", + "ax.set_title('ImCoh ≠ 0 (Correctly detects!)', fontsize=12)\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(-0.5, 0.5)\n", + "\n", + "plt.tight_layout()\n", + "plt.subplots_adjust(left=0.12)\n", + "\n", + "# Add row labels (after tight_layout)\n", + "fig.text(0.05, 0.75, 'VOLUME CONDUCTION', fontsize=11, fontweight='bold', \n", + " color=COLORS['negative'], rotation=90, va='center', ha='left')\n", + "fig.text(0.05, 0.25, 'TRUE CONNECTIVITY', fontsize=11, fontweight='bold', \n", + " color=COLORS['positive'], rotation=90, va='center', ha='left')\n", + "plt.show()\n", + "\n", + "# Print summary\n", + "print(\"\\n\" + \"=\"*60)\n", + "print(\"SUMMARY: Coherence vs Imaginary Coherence at 10 Hz\")\n", + "print(\"=\"*60)\n", + "idx_10hz = np.argmin(np.abs(freqs_vc - 10))\n", + "print(f\"\\nVolume Conduction scenario:\")\n", + "print(f\" Standard Coherence: {coh_vc[idx_10hz]:.3f} (HIGH - falsely suggests connectivity)\")\n", + "print(f\" Imaginary Coherence: {imcoh_vc[idx_10hz]:.3f} (≈0 - correctly rejects)\")\n", + "print(f\"\\nTrue Connectivity scenario:\")\n", + "print(f\" Standard Coherence: {coh_tc[idx_10hz]:.3f}\")\n", + "print(f\" Imaginary Coherence: {imcoh_tc[idx_10hz]:.3f} (non-zero - correctly detects)\")" + ] + }, + { + "cell_type": "markdown", + "id": "67a8a324", + "metadata": {}, + "source": [ + "## Section 6: The Sign of Imaginary Coherence\n", + "\n", + "Unlike standard coherence (always positive), **imaginary coherence can be negative**!\n", + "\n", + "### Interpreting the Sign\n", + "\n", + "For **ImCoh(X, Y)**:\n", + "| ImCoh Value | Meaning |\n", + "|-------------|---------|\n", + "| ImCoh(X,Y) > 0 | Y's phase **leads** X's phase |\n", + "| ImCoh(X,Y) < 0 | X's phase **leads** Y's phase |\n", + "| ImCoh(X,Y) = 0 | No connection OR zero-lag connection |\n", + "\n", + "### Important: Antisymmetry Property\n", + "\n", + "$$\\\\text{ImCoh}(X, Y) = -\\\\text{ImCoh}(Y, X)$$\n", + "\n", + "This means the sign depends on **argument order**! If you swap X and Y, the sign flips but the physical interpretation stays the same.\n", + "\n", + "### What Does \"Lead\" Mean?\n", + "\n", + "If signal Y \"leads\" signal X, it means Y's oscillation peaks slightly **before** X's oscillation at each cycle. This can (cautiously!) be interpreted as information flowing from Y to X.\n", + "\n", + "### Absolute Value |ImCoh|\n", + "\n", + "When we only care about **coupling strength** (not direction):\n", + "- Use |ImCoh| instead of signed ImCoh\n", + "- Range becomes 0 to 1\n", + "- Commonly used for connectivity matrices" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e4a2b8e0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\\nAt 10 Hz:\n", + " ImCoh(X, Y) = +0.708 (positive → Y leads X)\n", + " ImCoh(Y, X) = -0.708 (negative → still Y leads X!)\n", + "\\nKey point: ImCoh(X,Y) = -ImCoh(Y,X)\n", + "The sign depends on argument order, not on which signal actually leads!\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 4: Sign of Imaginary Coherence (Phase Lead/Lag)\n", + "# =============================================================================\n", + "\n", + "# Create signals where Y leads X (positive ImCoh expected)\n", + "fs = 500\n", + "duration = 10\n", + "n_samples = int(fs * duration)\n", + "frequency = 10\n", + "np.random.seed(42)\n", + "\n", + "t = np.arange(n_samples) / fs\n", + "phase_lead = np.pi / 4 # Y leads by 45 degrees\n", + "\n", + "x_lead = np.sin(2 * np.pi * frequency * t) + 0.1 * np.random.randn(n_samples)\n", + "y_lead = np.sin(2 * np.pi * frequency * t + phase_lead) + 0.1 * np.random.randn(n_samples)\n", + "\n", + "# Compute ImCoh for Y leads X\n", + "freqs, imcoh_y_leads = compute_imaginary_coherence(x_lead, y_lead, fs)\n", + "\n", + "# Swap signals: now X leads Y (negative ImCoh expected)\n", + "freqs, imcoh_x_leads = compute_imaginary_coherence(y_lead, x_lead, fs)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "# Left: Signals (showing Y leads X)\n", + "ax = axes[0]\n", + "t_plot = np.arange(100) / fs\n", + "ax.plot(t_plot, x_lead[:100], color=COLORS['signal_1'], lw=2, label='X')\n", + "ax.plot(t_plot, y_lead[:100], color=COLORS['signal_2'], lw=2, label='Y (leads)')\n", + "ax.axvline(x=0.025, color='gray', linestyle='--', alpha=0.5)\n", + "ax.set_xlabel('Time (s)')\n", + "ax.set_ylabel('Amplitude')\n", + "ax.set_title('Y leads X by 45°', fontsize=12)\n", + "ax.legend()\n", + "\n", + "# Middle: ImCoh when Y leads X (positive)\n", + "ax = axes[1]\n", + "ax.plot(freqs, imcoh_y_leads, color=COLORS['high_sync'], lw=2)\n", + "ax.axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "ax.axvline(x=frequency, color='gray', linestyle='--', alpha=0.5)\n", + "ax.fill_between(freqs, 0, imcoh_y_leads, where=(imcoh_y_leads > 0), \n", + " color=COLORS['positive'], alpha=0.3)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Imaginary Coherence')\n", + "ax.set_title('ImCoh(X, Y) > 0: Y leads X', fontsize=12)\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(-0.8, 0.8)\n", + "\n", + "# Right: Same data, but arguments swapped → sign flips\n", + "ax = axes[2]\n", + "ax.plot(freqs, imcoh_x_leads, color=COLORS['high_sync'], lw=2)\n", + "ax.axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "ax.axvline(x=frequency, color='gray', linestyle='--', alpha=0.5)\n", + "ax.fill_between(freqs, 0, imcoh_x_leads, where=(imcoh_x_leads < 0), \n", + " color=COLORS['negative'], alpha=0.3)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Imaginary Coherence')\n", + "ax.set_title('ImCoh(Y, X) < 0: same info, sign flipped', fontsize=12)\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(-0.8, 0.8)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print values at 10 Hz\n", + "idx = np.argmin(np.abs(freqs - 10))\n", + "print(f\"\\\\nAt 10 Hz:\")\n", + "print(f\" ImCoh(X, Y) = {imcoh_y_leads[idx]:+.3f} (positive → Y leads X)\")\n", + "print(f\" ImCoh(Y, X) = {imcoh_x_leads[idx]:+.3f} (negative → still Y leads X!)\")\n", + "print(f\"\\\\nKey point: ImCoh(X,Y) = -ImCoh(Y,X)\")\n", + "print(f\"The sign depends on argument order, not on which signal actually leads!\")" + ] + }, + { + "cell_type": "markdown", + "id": "b51f1566", + "metadata": {}, + "source": [ + "## Section 7: Band-Averaged Imaginary Coherence\n", + "\n", + "Just like with standard coherence (F01), we often want a **single value per frequency band** rather than a full spectrum.\n", + "\n", + "### Caution with Signed Values!\n", + "\n", + "When averaging signed ImCoh across frequencies in a band:\n", + "- Positive and negative values may **cancel out**!\n", + "- Solution: Usually use **|ImCoh|** (absolute value) before averaging\n", + "\n", + "### Functions for Band ImCoh" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "5276e475", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ Band ImCoh functions imported from src.coherence\n" + ] + } + ], + "source": [ + "# Functions imported from src.coherence:\n", + "# - compute_band_imaginary_coherence()\n", + "# - compute_all_band_imaginary_coherence()\n", + "\n", + "print(\"✓ Band ImCoh functions imported from src.coherence\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "d26ccbc6", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Band-Averaged Values:\n", + "==================================================\n", + " Delta : Coh=0.055, |ImCoh|=-0.149\n", + " Theta : Coh=0.675, |ImCoh|=-0.789\n", + " Alpha : Coh=0.999, |ImCoh|=-0.998 ← Signal\n", + " Beta : Coh=0.097, |ImCoh|=-0.171\n", + " Gamma : Coh=0.028, |ImCoh|=0.004\n", + "\n", + "Key insight:\n", + " - Both metrics detect the 10 Hz connectivity in alpha band\n", + " - Band averaging summarizes spectral info into single values\n", + " - Useful for connectivity matrices (Section 8)\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 5: From Spectra to Band-Averaged Values\n", + "# =============================================================================\n", + "\n", + "# Compute full spectra\n", + "freqs_full, coh_full = compute_coherence(x_tc, y_tc, fs=500)\n", + "_, imcoh_full = compute_imaginary_coherence(x_tc, y_tc, fs=500)\n", + "\n", + "# Compute band values\n", + "bands = {\n", + " \"delta\": (1, 4),\n", + " \"theta\": (4, 8),\n", + " \"alpha\": (8, 13),\n", + " \"beta\": (13, 30),\n", + " \"gamma\": (30, 100),\n", + "}\n", + "band_coh = {name: compute_band_coherence(x_tc, y_tc, fs=500, band=band)\n", + " for name, band in bands.items()}\n", + "band_imcoh = compute_all_band_imaginary_coherence(x_tc, y_tc, fs=500)\n", + "\n", + "# Create figure\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# LEFT: Full spectra with band regions highlighted\n", + "ax = axes[0]\n", + "ax.plot(freqs_full, coh_full, color=COLORS['signal_1'], lw=2, label='Standard Coherence')\n", + "ax.plot(freqs_full, np.abs(imcoh_full), color=COLORS['high_sync'], lw=2, label='|Imaginary Coherence|')\n", + "\n", + "# Highlight frequency bands with different colors\n", + "band_colors = {\n", + " \"delta\": \"blue\",\n", + " \"theta\": \"green\", \n", + " \"alpha\": \"orange\",\n", + " \"beta\": \"red\",\n", + " \"gamma\": \"purple\"\n", + "}\n", + "for name, (low, high) in bands.items():\n", + " ax.axvspan(low, high, alpha=0.1, color=band_colors[name])\n", + " # Add band label at top\n", + " mid = (low + high) / 2\n", + " if mid < 50: # Only show if visible\n", + " ax.text(mid, 0.95, name[0].upper(), ha='center', va='top', \n", + " fontsize=9, color=band_colors[name], fontweight='bold')\n", + "\n", + "ax.axvline(x=10, color='gray', linestyle='--', alpha=0.5, label='Signal at 10 Hz')\n", + "ax.set_xlabel('Frequency (Hz)', fontsize=12)\n", + "ax.set_ylabel('Coherence', fontsize=12)\n", + "ax.set_title('Full Spectra (True Connectivity at 10 Hz)', fontsize=13)\n", + "ax.set_xlim(0, 50)\n", + "ax.set_ylim(0, 1)\n", + "ax.legend(loc='upper right')\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# RIGHT: Band-averaged values\n", + "ax = axes[1]\n", + "band_names = list(band_imcoh.keys())\n", + "x_pos = np.arange(len(band_names))\n", + "width = 0.35\n", + "\n", + "bars1 = ax.bar(x_pos - width/2, [band_coh[b] for b in band_names], width,\n", + " label='Standard Coherence', color=COLORS['signal_1'], alpha=0.7)\n", + "bars2 = ax.bar(x_pos + width/2, [band_imcoh[b] for b in band_names], width,\n", + " label='|ImCoh|', color=COLORS['high_sync'], alpha=0.7)\n", + "\n", + "# Color-code x-axis labels to match bands\n", + "ax.set_ylabel('Band-Averaged Coherence', fontsize=12)\n", + "ax.set_title('Averaged Values per Band', fontsize=13)\n", + "ax.set_xticks(x_pos)\n", + "ax.set_xticklabels([b.capitalize() for b in band_names])\n", + "for i, (label, name) in enumerate(zip(ax.get_xticklabels(), band_names)):\n", + " label.set_color(band_colors[name])\n", + " label.set_fontweight('bold')\n", + "\n", + "ax.legend(loc='upper right')\n", + "ax.set_ylim(0, 1)\n", + "ax.grid(True, alpha=0.3, axis='y')\n", + "\n", + "# Add arrow pointing to alpha (where the signal is)\n", + "ax.annotate('Signal in\\nthis band', xy=(2, band_imcoh['alpha']), \n", + " xytext=(3.5, 0.7),\n", + " arrowprops=dict(arrowstyle='->', color='black', lw=1.5),\n", + " fontsize=10, ha='center')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print summary\n", + "print(\"\\nBand-Averaged Values:\")\n", + "print(\"=\" * 50)\n", + "for band in band_names:\n", + " marker = \" ← Signal\" if band == \"alpha\" else \"\"\n", + " print(f\" {band.capitalize():6s}: Coh={band_coh[band]:.3f}, |ImCoh|={band_imcoh[band]:.3f}{marker}\")\n", + "\n", + "print(\"\\nKey insight:\")\n", + "print(\" - Both metrics detect the 10 Hz connectivity in alpha band\")\n", + "print(\" - Band averaging summarizes spectral info into single values\")\n", + "print(\" - Useful for connectivity matrices (Section 8)\")" + ] + }, + { + "cell_type": "markdown", + "id": "d447d864", + "metadata": {}, + "source": [ + "## Section 8: Imaginary Coherence Matrix\n", + "\n", + "When analyzing multi-channel EEG data, we compute connectivity between **all pairs of electrodes**, producing a **connectivity matrix**.\n", + "\n", + "### Matrix Properties\n", + "\n", + "For **|ImCoh|** (absolute imaginary coherence):\n", + "- Matrix is **symmetric**: |ImCoh(X,Y)| = |ImCoh(Y,X)|\n", + "- Diagonal = 1 (each channel perfectly connected to itself)\n", + "- Range: 0 to 1\n", + "\n", + "For **signed ImCoh** (raw imaginary coherence):\n", + "- Matrix is **antisymmetric**: ImCoh(X,Y) = -ImCoh(Y,X)\n", + "- Diagonal = 0 (no self-connection in imaginary part)\n", + "- Range: -1 to +1\n", + "- Retains phase direction information\n", + "\n", + "### Interpretation\n", + "\n", + "Imaginary coherence matrices:\n", + "- Same interpretation as standard coherence matrices\n", + "- But **robust to volume conduction** artifacts\n", + "- Generally **lower values** (excludes zero-lag contributions)\n", + "- More **trustworthy** for sensor-level EEG\n", + "\n", + "### Practical Use\n", + "\n", + "Most connectivity analyses use **|ImCoh|** for matrices because:\n", + "- Symmetric matrices are easier to visualize\n", + "- Phase direction often not critical for group-level analysis\n", + "- Compatible with standard graph theory tools" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "7e69026a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ Matrix function imported from src.coherence\n" + ] + } + ], + "source": [ + "# Function imported from src.coherence:\n", + "# - compute_imaginary_coherence_matrix()\n", + "\n", + "print(\"✓ Matrix function imported from src.coherence\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "24c3dddf", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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sBgAgXrwuMGwLyXMAQEHyihrHTs3qtcnIqwMAADYXf4ndAADEit+BMcHjMpZ4XOoJAAAAAAAAAEDO0PMcAFCQfN9zS7avBQAAuUXsBgAgXjyvccnqtRIPJM8BAAWJcVMBAIgXYjcAAPHibfxftq+NA5LnAICCpOOdZz/meTyCOAAAhYTYDQBAvHhMGAoAQDx5nud6sGX7WgAAkFvEbgAA4sXrAsnzTp0w9LnnnpPDDz9chg4d6k6UHnnkkc6sDgAA2AxiNwAA8ULsBgAgpsnzdevWyc477yw33XRTZ1YDAFCINg7bks2ir0VmxG4AALE7XojdAADLxLLvZbnE5GPp1DHPDznkELcAABA1z/fdku1rkRmxGwBghdhtg9gNALDiMWEoAADxpOOdZz3meZavAwAA2SN2AwAQP54Utk7ted5etbW1bglVVVU1/qA9BD2DXoKuXL2PwKgHYmBTrHm9Lb8ZxnUPDDdJ4PsSeJ7716R8k1JzVPc4b/ek3ZbXsoMgMFtH0rDuyY11t1iHZb2t6TBkV199tSxdutQNS3bDDTfI7rvv3urzZ8yYITfffLMsWbJEKioq5JhjjpHp06dLeXm5FIrWYrd+zlb7j9W+qazmktVyw8WK1Tb53zY3KV7Ey8WxzKh8w+htva/HOf4FgdXOqGVvrHugdY9+Pa7YnNQ9+rLjitjd9tjteb7JpOrujj830Xu87vzLSb2tyjZvd/uxbf+Z5lGsczUxrnvSMI5o2e6cyWgdlhFQzzRszjhsyszX2B2677775Pjjj5evfe1r7Zp3M1bJc00oXHzxxS0eLxo/VoqKSqJfoe+Lv9WwxgOEQavK7Avm+eKPGdaY4TZqPJi17Y23+fotxY7nS92wYe6GFYvtbtgOdCcedUMbt7tnsN2LisRM4PlSq3XXLW+wkYpWfS5WNGmwrnqtOxhY9HQOSusjL7Op7CCQNasT7ueoG1HV1dHU2y/y3JLta9vr/vvvlylTpsgtt9wie+yxh0uMT5w4Ud577z0ZOHBgi+ffe++98tOf/lTuvPNO2WuvveT999+X7373u257XnfddVIoWovdK1Y0SE1Ng8m+udpo31Rjt7K5sKFVHTK48VzGqu2wfKVVklVkteZV3LHMYh2GSVzdX9Y0lm9x4aLerxHLGFJVVWcWQ9Y1xDf+1a2za+IEEkjDump3MuzO+SLWYHnRIhBJrF/beM4UcdUb1lZHUg6xO79jd8Uu46SsyOD75XnSZ8yoxp/jdCEmB/XuXWzUkPI86T56pFnd67uXiRnfl8SWwxvP8yzarvXRn5828T0pGjmiMaFicLzvW2tb9x6jR5nVfflaw3OmQGTNhnqT+Of43cWK7uFVXpnrkBj1ZYvqiM7BvA50AMrmde1td4c++OADOffcc2WfffZp9zpjlTyfOnWq20CpV8CHDx8uidfmScIzCCp6RS0IJPHq+zbJc8ue5xJIYo5NvZVZzzjjbd7d7njceAVcAuk2732TBLRZj76wZ0BgV/diwyNNY4+DQLrPt6l73wH9xIrrceeJ9O3fzyR5UNltmVgJezpWVpaIH3Hdy8tLYnnrtya8TznlFJk8ebL7XYP53//+d5cc1yR5uhdeeEH23ntv+da3vuV+HzlypLsK/t///lcKSWuxu7KyWHr3LjbcN4sj3zfVvAU1pnFVy7c6PxhYYRO83Tb3RCoHaBg3WIdhd/wwbFRWeCZ1r/Xt7iIJt/uAinKTupfUxTf+rS4x6FST2sM6ECnt09/kAl3QeO3PRGPv8ECKDepe7BO7u0LsXvnqXCm16nkuIivnvCGBZaMnhvUuKjVqSG2se9Vrb5o0NEv69BDTdncQSPFb75i0/xIpd11EzrW7RRJvzjXZ7qvX15vXfbXRPjOwp+E508b4V9mzTHyL2J1cL1Z0S+tAGxXJ9ZEnz8uS0bRrvA50sM3mde1td6tEIiEnnHCCuzD873//W1avXl24yfOysjK3tKBfXKuGlX7JtHyLYGg6Dodhva0HNDKsu2d8LuYFgQvgFkGcunfSdjce+1obrx1J8m6KSRIrre66jqjXE1V5XpHnlmxf2x51dXUye/Zs19gM+b4vBx54oLz44osZX6O9ze+55x6ZNWuWu8Vs4cKF8o9//EO+853vSCFpLXZb7DvW+6b9kAr/WyxYHhMa7+I1+kwtx7Ixrntcj8Nxj386tISdZGPd3RL9ejzDYYoayw/rHu12j6o8Ynd+x24dEikI7NrdmoCOU/I8J/U27UFl2e5Oxrb9Z7rNrXM1Ma67RVK7xTnTxiVq1vfLaI31jCPqs46oyvPFc0u2r7Vud6tLLrnE9Uo/+eSTXfK8vTo1eb527VqZP39+0++LFi2S1157Tfr37y9bbmk5vgYAAJvXNLfGZhqTK1eudFezBw0a1Oxx/f3dd9/NWLb2ONfXffGLX3S9ZxoaGuQHP/iBnH/++Xn90RC7AQD5jNjdErEbANBVY/fzzz8vd9xxh8s3Z6tTZ+R45ZVXZJdddnGL0lvD9OcLL7ywM6sFACgAYY/GbBeltyj36dOnadExQKMyc+ZMueKKK+TXv/61zJkzRx566CF3u9mll14q+YzYDQCwQuy2QewGAFjxOrhYtrurq6vdnd233367VFRUZF1Op/Y832+//WI9MzsAII9pAjzLYVvca0Xkww8/lN69ezc9nHHoMJ1Aq6JCioqKZNmy5uPM6++DBw/O+Jqf//znLpB/73vfc7/vuOOOsm7dOvm///s/ueCCC9ztZ/mI2A0AMEPsNkHsBgBY8SKYMNSq3b1gwQI3Uejhhx/e9Fhy47BDxcXFbpLRrbbaarP1zM+WOQAAedB7TQN46tJaEC8tLZUJEybI008/3Swo6+977rlnxtesX7++RYJcTwQUF5YBAF0RsRsAgK7X87y3Ubt72223lTfffNMN2RIuRxxxhOy///7uZ+3xXnAThgIA0GZFfuOSjSxep0OPTZo0SXbddVc3AeiMGTNcT/JwFvATTzxRhg0b1nQLml791pnCdbiyPfbYw80Bor3R9fEwiQ4AQJdC7AYAIFa8jf/L9rWW7e7y8nIZN25cs9f37dvX/Zv++KaQPAcAIALHHXecrFixws3bsXTpUhk/frw89thjTZOZLFmypFlP85/97Gdu1nf99+OPP5bKykqXOL/88sv5PAAAyAFiNwAAhR27o0DyHABQmHTolY3Dr2T12iycccYZbmltgtBUOsbatGnT3AIAAIjdAADEjZ/7Zne72t3p7r777navj+Q5AKAgeUW6ZHn7GKOmAACQc8RuAADixUsZuzyb18YByXMAQGHqjEvgAAAge8RuAABixesCyfNoB4EBAAAAAAAAAKAA0PMcAFCYdMiWLIdtyfp1AAAge8RuAABixdv4v2xfGwckzwEABcnzPPGyHH5FXwsAAHKL2A0AQLx4XuOS7WvjgOQ5AKAwFfmNS7avBQAAuUXsBgAgVvwOjAkel1Z3XOoJAAAAAAAAAEDO0PMcAFCQdMiWrIdtyfJ1AAAge8RuAADixdu4ZPvaOCB5DgAoTEw6BgBAvBC7AQCIF8/Lfs6wmAx6TvIcAFCYaIADABAvxG4AAGLFo+c5THcwqwssOtNtWL7ROoLAplwJ3P8byzdYRzIpZlyVk43r8AzW4xvOUBD4epts4zosdhnzunuGdfcaxErgBeJJwq0j6yu1m5AI7K6PJoNAkkHSrSMIvNjUG/njg0N+LL2KiyIvN/B8qR41VtYvmieeHpQjNvu56WIhmQxk+cpABlZ44hsNGzThS4tNytXD19itymXeghqT84NH+v5GrASeJ1VbjpW6Jbq/RF/58n7lYln39UNGS/WnC03q3r1fmVhJep5sqBgp3VZ+IL5B3fe44FixkgxElifLZWCiRky+qskG27oH3WRgckPkda9K1kRbIPLStX+dIb17dDfZN1c0FEllsZ4XR168XPaV08WE70vv4iIpKi02a2h+WmdzTPB8XxINCVlR1yCBQd33mfOUWLZDlq9ZJwP79BDfoA0VbKgW07qvrZWBPcts6l79uVjWfUVNUirLfZO6+0PHiplkUvxVn4k/oL/4FskJw7p7G+teZFD3oqoqEbkg0jILFRkKAEBBYtxUAADihdgNAEC8ePQ8BwAgprj1GwCAeCF2AwAQK14Hxjy3uAPfAj3PAQCFKRyLKNvXAgCA3CJ2AwAQK74Oo5tlDtxotMrIkTwHABQkr8hzS7avBQAAuUXsBgCgCw25JvFod9O1DgAAAAAAAACANPQ8BwAUpq5w/xgAAIWE2A0AQKx4XuOS7WvjgOQ5AKAwMekYAADxQuwGACBWPJLnAAB0wbHX6HkOAEDOEbsBAIgXz/Pcku1r44AxzwEAAAAAAAAASMOwLQCAwlTkNy7ZvhYAAOQWsRsAgFjxGLYFAICYKto4dmq2rwUAALlF7AYAIFa8LjBsCz3PAQCFG8T9wg7iAAAUEmI3AADx4nWBnufclw4AAAAAAAAAQBp6ngMACpMO2ZL1sC0xuQQOAEAhIXYDABArvue5JdvXxgHJcwBAYdIhW7IctiXr1wEAgOwRuwEAiBWvCwzbQvIcAFCQvCLPLdm+FgAA5BaxGwCAePGkAxOGSjza3Z065vn06dNlt912k169esnAgQPlyCOPlPfee68zqwQAKBS+37EFGRG7AQDE7nghdgMArHh+x5Y46NRqPvvss3L66afLSy+9JE8++aTU19fLwQcfLOvWrevMagEAgFYQuwEAiBdiNwAAMR225bHHHmv2+9133+16oM+ePVu+9KUvdVq9AAAFoCM9yOl53ipiNwDADLHbBLEbAGDGy37YlrgMep5XY56vWbPG/du/f/+Mf6+trXVLqKqq6n8nWRZ9/V25OuFcTO4jyGW9g3jWPbDcJL4vgee5f23KNyk2/nX3NtZdjwEG6wmSVjt7Y9lBEJitI2lY9+TGulusI7IyaYDndexu/O76tseEGH2v/vedEjNW56bhJEFW5evnaaVxX2lcrMq34uotdnVP5qjuFru8YfhzZQeB4TpiWvfIyiR253XsThruP6bfK6t2cQ7a3Z5R2a5cTXgZlZ/UD9SIlu3OmYzWoWVboe6t8wxPgpu3XQ1PtmNW92RE29xjwtDc0Q/t7LPPlr333lvGjRvX6lhtF198cYvHi8aPlaKikugr5fvibzWscU+wbM3GsN5m4cTzxR8zzE0bIEH0dd+whZjRxHPd0MbtbnHgNx0LyvOlbtiwxskaDLZ7kXHiv3aI3Xb3V64WM4HIuqp1jdvdIEdRX1InVjSAr1nT4H7O+ipzK6qrI6q3r42ZLOuW7eu6mI7E7rUjthIpjT52azJuw6Ch7mfPoPGzfKVRQy0pslpzE4Eekm3WMXarcpNy9RAwZHDjZ2nR3qzqMVas6P6yvnKI2f6yoafB+WnI82Rd/8GNFy0M6l5qWHdNzK/tPVACPUxbbPc1Nvu60uquXt+4bUyuLwQJg0JT615qUvfqtREVROzO69i9sqFIahuKoq+THuuTvtv9LZoNvXfZyaDUxi9S99EjG382SrgmGoyOCZ4nfcaMavzZ4nxpzTrTdsjq9TUm7RBXft3/LhyZtKFq6s3qLjWGCeggkKq6QAJJim9Qd3/VZ2JFE89rqqvdru7HrJ1nWffq6uoIk+de1q+Ng7zpea5jn8+dO1eef/75Vp8zdepUmTJlSrMr4MOHD5fEa/Mk4UUfxN0V5CCQxKvvxy55bl1vs4ux7sp3IIk5NnXvtl7MuF7bQSDd5r1vk8S17nkudnUvNjzSuN6lQSA95r8vnkHiv19FXzHteS6B9B3QRzyDIN63zC7xH/a+ragsjTyIl5U3nlAi/3UkdvdcvEB6FUcfu8Me570WzTc5Jgys8Oy+U55I5QC7k/p5CxobmlELT3q1fIvzg95954mVsNd27yXzTJLn5f3KbXtvByJ9ly40qXtZvzKxrLsXiPRf9YFJ3Xv12VWshD1jK/vU2FxnTTZemDate+8Nkde93LM5viC/YndFcUJ6F0efzHUhMBCpKEqYfK+qXn1DTGxsoFW99qZZu3tFnc0xIexxvnLOGxIY1H1gnx5iJexxXtmnh0kSN9hgm4BWlT3LbOoerDetu94vVlHum9S9aEDmO2GiOs/WKlf27x/L5LlV3ctL8iYlnPfyYkudccYZ8re//U2ee+452WKL1rsGl5WVuaUFPdib3Sus948l45U8z0W9g3jW3TP+GLUBqMlnk57nkZeYw7pbbnd/Y90Do7obB1e9QqvrsFiPn4O66zqiXk9k5bmhfLK86hSXab9jHLvdd1a7nRpoOiYYJM8tv1eNd35H/50KGd6F7MoOl6hZJFfTyw8Xi7ItucFPjOpu0SM8lEypu8V6rNvF7rvagZubNl24QZk5qHtk5RG78zp2m+331t8ry7a8cbvbIrH9v8J1+MikyToskqst2iEblzgNuaaoe2a+6XDJyZS2a9zaeXZ1j6o8j2FbbOktKz/84Q/l4YcflpkzZ8qoURtvGwIAoKMYN9UEsRsAYIbYbYLYDQCw4nfgQpb1hbaC6Hmut4zde++98pe//EV69eolS5cudY/36dNHunXr1plVAwDEHQ1wE8RuAIAZYrcJYjcAwIrXBXqed+r9CjfffLOb6Xu//faTIUOGNC33339/Z1YLAAC0gtgNAEC8ELsBAIhpz3O9fQwAABNu4MwsrxHHbCKZXCJ2AwDMELtNELsBAKbzuHnZtZ+zfV2XnDAUAIDIces3AADxQuwGACBWvC4wbAvJcwBAYaIBDgBAvBC7AQCIFa8LJM87dcxzAAAAAAAAAADyET3PAQAFPG5qlpeyGfMcAIDcI3YDABArnu+5JavXBvHoek7yHABQmLj1GwCAeCF2AwAQK14XGLaF5DkAoDDRAAcAIF6I3QAAxIrveW7J9rVxQPIcAFCQPM93S7avBQAAuUXsBgAgXrwu0POc7AAAAAAAAAAAAGnoeQ4AKEzae1xv/872tQAAILeI3QAAxIrneW7J9rVxQPIcAFCYGDcVAIB4IXYDABArXgeGX4lH6pzkOQCgUPle45LtawEAQG4RuwEAiBWvC/Q85750AAAAAAAAAADSMGwLAKCAe69leY2YnucAAOQesRsAgHjxsh+2JS7jtpA8BwAUJsZNBQAgXojdAADEitcFhm0piOT51mNEehZFX27gi2wYJtJtrYiXjL78YqOtr/Vev6VI9xqbequkUblum28h0m29Td3fekfs+CJF3UUSug6Duh968mCxEnierBrYTwb0GyReEERefvUna8Wy7okB3aTnuh4mdf+spo9YCYKkrKuvl6C2t3he9KNo9SzpJlaSyUASgUh9spv4EV8urk8moimIBnhe+7/Ks6XYYB/V86/RfYtk4cCEGBwS5HmD76rjaWWDxjdgdBL5SN/fmB2Hq3qMld5955kch49c/T2xopt67IBymbf6Syb7S3mPXmLF7esNxbKwrsGk7j169BMrngQyolxkcXfd66Pf31cd+6GY7jNbicxb4NnsM0P62e4zw4pl4cflkde9oX5DNAURu/Pajw4/W0oNvrOe70vlhJ1lxezXJTBoaH6r0uZ8PvB9qe9eJiV9eohn1EDeZ85TJuUmg0CWr1knA/v0EN/gvOPU4buJFev9xRJ1b913B/U12+76Xa0bt70smvu2yXf1k7o6MaNxccdxIm/OjTwRtz6IpjzPb1yyfW0cxKSaAAAAAAAAAADkTkH0PAcAoAV6rwEAEC/EbgAAYsVj2BYAAGKKBjgAAPFC7AYAIIaTfXvZvzYGGLYFAFDYQTzbJQs33XSTjBw5UsrLy2WPPfaQWbNmbfL5q1evltNPP12GDBkiZWVlsvXWW8s//vGPLN8wAAAxR+wGACBePK9ji3G7+6GHHpJdd91V+vbtKz169JDx48fL73//+3atj2FbAACFSWcf0R5s2b62ne6//36ZMmWK3HLLLS6Az5gxQyZOnCjvvfeeDBw4sMXz6+rq5KCDDnJ/+9Of/iTDhg2TxYsXu6AOAECXROwGACBWvBwP29Lednf//v3lggsukG233VZKS0vlb3/7m0yePNk9V1/XFvQ8BwAgAtddd52ccsopLhBvv/32Lph3795d7rzzzozP18c/++wzeeSRR2Tvvfd2V8733Xdf2Xnnnfk8AADIAWI3AACFHbv3228/Oeqoo2S77baTrbbaSs466yzZaaed5Pnnn2/zOkmeAwAKe9zUbJd20F7ks2fPlgMPPDBl9b77/cUXX8z4mkcffVT23HNPN2zLoEGDZNy4cXLFFVdIIpHo8FsHACCWiN0AAMSLn7vhUrNpd6cKgkCefvpp10v9S1/6UpvXy7AtAIDCFMGkY1VVVc0e1nHJdUm3cuVKl/TWJHgq/f3dd9/NuIqFCxfKv/71LznhhBPcOOfz58+X0047Terr62XatGnZ1RsAgDgjdgMAEC9e9mOXh6+zbHerNWvWuGFSa2trpaioSH7961+7IVTbip7nAIACDuJ+lktjEB8+fLj06dOnaZk+fXpk1Usmk26ctdtuu00mTJggxx13nBuLTW87AwCgSyJ2AwAQK57vdWixbnerXr16yWuvvSYvv/yyXH755W7M9JkzZ7b59fQ8BwCgFR9++KH07t276fdMV79VRUWFu4K9bNmyZo/r74MHD874miFDhkhJSYl7XUjHYVu6dKm7HU0nMwEAAO1D7AYAIF4+NGx3h0O7jBkzxv08fvx4eeedd1yCXsdDbwt6ngMAClPWvc43LiIugKcurQVxTXRr73EdPy21Z7n+ruOaZ6KThOpQLfq80Pvvv++S6iTOAQBdErEbAIB4DtviZbkYt7sz0dfoEC5tRfIcAFCYcjjpmNJbv26//Xb57W9/665kn3rqqbJu3To3C7g68cQTZerUqU3P179/9tlnbrZvTZr//e9/dxOG6gSiAAB0ScRuAABixfM6MGxLFmOlt7fdrT3Mn3zySTfnmD7/2muvld///vfy7W9/u83rZNgWAEBhimDikvbQMctXrFghF154oRt6RW8He+yxx5omM1myZIm7XSyk47o9/vjjcs4558hOO+3kJjDRRPp5552XXZ0BAIg7YjcAAPHi5Xe7WxPrp512mnz00UfSrVs32XbbbeWee+5x5bQVyXMAACJyxhlnuCWTTBOS6K1lL730EtsfAIBOQuwGAKBwY/dll13mlo4geQ4AKEwpY5dn9VoAAJBbxG4AAOLF1yXLnucxaXa3OXn+9a9/vc2FPvTQQ9nWBwCAaNAAJ3YDAOKF2E3sBgDEb8xzL7vkebavy7U25/j79OnT5qWtbr75ZjfOazibqt6+/s9//jPb9wIAQKdNOpaPiN0AgFghdhO7AQDx4nsdWwqp5/ldd90V+cq32GILufLKK2Xs2LESBIGbKfVrX/uavPrqq7LDDjtEvj4AQBdC7zViNwAgXojdxG4AQLx4uZ0wtDNk3bWuoaFBnnrqKbn11lulurraPfbJJ5/I2rVr21zG4YcfLoceeqhLnm+99dZy+eWXS8+ePZk8DQAAA8RuAADihdgNAEDnymrC0MWLF8tXvvIVWbJkidTW1spBBx0kvXr1kquuusr9fsstt7S7zEQiIQ8++KCsW7fODd+SiZatS6iqqsr9G/i+W6LmyvU8k7Ibyzcp1rzebh0S07pbjsSgddarZlb7i+EVObfNxTNbh3ndNy4m5QdJk3LDsvWuG6t1JJNW39TGsrXuFuuIrEx6r+V17O5IB4VNCcu1OuxYfa/+950SM5bHeMvjsGWHFOv9JdZ1Nzvbayxbq221eWK93WNa98jKJHbneez2Tcan9Ta2o9y/Buza8/bt7mRgdN7h2iCBWflWn2Uu9hdL1L11pvkr8zyTH888U0TtDk+rmGX1sn1dLJLnZ511luy6667y+uuvy4ABA5oeP+qoo+SUU05pV1lvvvmmC9o1NTWu1/nDDz8s22+/fcbnTp8+XS6++OIWj9eMHStFJSUSOc+XumHDxNNTe4PkVlGR2DCut7LKJ+rBrG7osMZgaJBBKOoudjxf/DHDGpuCBhto1cB+YseTtX0HbWzERn8CtaG4RiytrxgintGJX+1nq8SKJs1r1uqdO4FrjERt1YYNYkUTfdVVdaKb3Y94nLLq6oj2ly5w+1icY/fIIb6UlkUfCPWTG9y/yB3KLI4Ky1fYHGu0Abt6TWC6+1VtOdakXG2MrK8c4n62OBaPHVAuVnRbDxnceA5pEUZKBmR1qt3mug8eUGRW9/L+YkZ38cqejT9bfKP6b1UmlnV3+4zRMaakXzz3mbq6IpkVRUHE7ryO3RW7jJOyIoN91POkz5hRYnVAq+9t1Aj0fUlsObzxgoLR1e/la9bZnXesbzzntrggUjlhZzFjvL+You6tquvbw2yzB54vDSOGuyjuWSSz6hvEjLa1R4xoPAGJuhNPQ4PI88s7Xo5X+O3urCLfv//9b3nhhRektLS02eMjR46Ujz/+uF1lbbPNNvLaa6/JmjVr5E9/+pNMmjRJnn322YyBfOrUqTJlypRmV8CHDx8u5fPmSTeDTLS7OiWBlL//vkkit9jo3Disd7d5NvVWVj3j3JXAwK7uiXfEjrsSGEhizvsmG2jAzoPEtue5SP8Vi0wSH9WftH04p/YKezv2/nC+Sd3X9f9fQyVqjT3OPenRv79J8nxAz8/EMnmuca5/RbfIk+clZYmIStIgnu12jUcQj3Ps/uDTpBSXRPVZp51/eSILP0mYtKcGVtrsG2HYqKzwIv9OheqWzDMpN+xx3nvJPJPj8LzVXxIr4fn6vAU1NgnoGoPOHWl1X/hxg0ndezQ/VEQq3MMXf2aTgF614H89Zq2OMfMW1trsM0Piuc801BO7u0LsXvnqXCm16nkuIivnvCGBQTuqpLKPmLW7g0CK33rHrN09sI9NQjHscV7Zp4f4Bp/pitmvixXr/cUSdW9d6aC+Ztu9scd5IKVW39W6OjHjcmQiMvet6PNMEZXn+XonSHbHkWxfl2tZpW+TyaS73SvdRx995G4jaw89ERgzZoz7ecKECfLyyy/L9ddf78ZST1dWVuaWdLrzW1wtdWUHQWP5Bl8wz/A4b1nvWNfdOrbqSYjW22J/Mb6q7m6h1m1vsB7zugeGdTe+j0iPXY23wEa/HqsEXGrddR1Rr8e63l1VvsVu/bpaHRrCsi3Kt9w/G+/ItEueWx6LLY/D1p3KLPeXWNfd+CJi0LREv55Yb/eY1j1unT/jIv9itw45aHRs0GFEkkmTZKhVmzgX7W6LxHazc/mNS9TMk9qG+4s56p7z76l9nikZzzyT4RC1hSarbM3BBx8sM2bMaHbQ1YlCp02b5iYA7egJQur4agAAZH2VviNLgSF2AwDyHrG7GWI3ACDveV7HlkLteX7ttdfKxIkT3S1eOmbat771LZk3b55UVFTIH//4xzaXo7eDHXLIIbLllltKdXW13HvvvTJz5kx5/PHHs6kWAABNOtKj3/qOg85A7AYA5Dtid3PEbgBA3vP19tksk+B+ASfPt9hiCzdpyX333SdvvPGG63V+8sknywknnCDdunVrcznLly+XE088UT799FPp06eP7LTTTi5xrrOIAwDQIV1h2u92IHYDAPIesbsZYjcAIN95bijaLMc8L+Se5+6FxcXy7W9/u0Mrv+OOOzr0egAA0HbEbgAA4oXYDQBATJPnOkzLM88843qP6zjlqS688MIo6gYAQPbovdYCsRsAkNeI3S0QuwEAec1n2JaMbr/9djn11FPdGOeDBw9u1s1efyZ5DgDodB2ZgCQmt4+1B7EbAJD3iN3NELsBAPnP60D72SvcnueXXXaZXH755XLeeedFXyMAAKLg+41Ltq8tMMRuAEDeI3Y3Q+wGAOQ7rwuMeZ5VduDzzz+XY489NvraAAAAE8RuAADihdgNAEBMk+eaOH/iiSeirw0AAFGPm5rtUmCI3QCAvEfsbobYDQCIzZjnfpZLoQ7bMmbMGPn5z38uL730kuy4445SUlLS7O9nnnlmVPUDACA7TDrWDLEbAJD3iN3NELsBAPnO6wLDtmSVPL/tttukZ8+e8uyzz7ol/Y2TPAcAdDoa4M0QuwEAeY/Y3QyxGwCQ9/wO9CAv5J7nixYtir4mAABEHsT9gg7i7UHsBgDkPWJ3M8RuAEDe87zGJdvXxkDhDeoKAAAAAAAAAEBn9DxPJBJy9913y9NPPy3Lly+XZDLZ7O//+te/OlovAAA6hlu/myF2AwDyHrG7GWI3ACDfeb7nlmxfW7DJ87POOsslzw877DAZN25cbAZ4BwB0IV3g9rH2IHYDAPIesbsZYjcAIO95hd/uzip5ft9998kDDzwghx56aPQ1AgAgCvRea4bYDQDIe8TuZojdAIBYDAjuZzthqMRCVtUsLS2VMWPGRF8bAABggtgNAEC8ELsBAIhp8vxHP/qRXH/99RIEQfQ1AgAgyt5r2S4FhtgNAMh7xO5miN0AgHzneV6HloIdtuX555+XZ555Rv75z3/KDjvsICUlJc3+/tBDD0VVv4KWNs9qZPSSRpBsLN8zWodvlFcKNuastHyLr9ChJw8WK4HnyaqB/WTAzoPEM7iw9I87looZ35eiCX0lMXuZyY6594HdxUrg+RI0JCVZH4inO37EepY2iJUgmZREcUJ6ljSIZ/ClKi+qFitJL5ASv17KixrEj3iSj7qiddHtG1kmwbN9XT7Lt9hd83GVFBXVR16unn/VlZbLhg9rxOIaf62/vc13SgKp92uk1i+P/DsVKu9Xbhb/NvQsceVbxL/yHr3Eiu4vJQOKpbymxGR/qfm42rTu9eXlUvOxzb5uOYGT1r22oUjWf5wwqXvZwB5ius/0KZaygcUmda9fUyuWdU/0C6R+TV3kdU80RFNvYnd+x+64WlJba9eGqm+QhJZv1LgPNtjEEe0IGdTVSrAh6eI40NlKDM87At+ThOe5dej/ovbWujox4/vSq7ZBqnUdER9naqI6GfC9DgzbUsDJ8759+8pRRx0VfW0AAIhIEPhuyfa1hYbYDQDId8Tu5ojdAIC85zFhaEZ33XVXrj8KAADQAcRuAADihdgNAEBMe54DAJDvAilyS7avBQAAuUXsBgAgZjx6nrfqT3/6kzzwwAOyZMkSqatrPr7PnDlz7D8cAAA2gVu/WyJ2AwDyGbG7JWI3ACC/eY0J9GxfGwNZDer6q1/9SiZPniyDBg2SV199VXbffXcZMGCALFy4UA455JDoawkAQDsF4kkgfpZLPIJ4exC7AQD5jtjdHLEbAJD3fL9jSwxkVctf//rXctttt8kNN9wgpaWl8pOf/ESefPJJOfPMM2XNmjXR1xIAgHZKBn6HlkJD7AYA5Dtid3PEbgBAbIZt8bJcYiCr7IAO1bLXXnu5n7t16ybV1dXu5+985zvyxz/+MdoaAgCADiN2AwAQL8RuAABimjwfPHiwfPbZZ+7nLbfcUl566SX386JFiyQIgmhrCABAByYdy3YpNMRuAEC+I3Y3R+wGAOQ9j57nGX35y1+WRx991P2sY5+fc845ctBBB8lxxx0nRx11VG4/JAAANjHpWLZLoSF2AwDyHbG7OWI3ACDveYWfPC/O5kU63nkymXQ/n3766W6y0BdeeEGOOOII+f73vx91HQEAaLdw8s9sZPu6fEbsBgDkO2J3c8RuAEDe8zsw8WdMJgzNKnnu+75bQt/85jfdAgAA8hOxGwCAeCF2AwAQ0+S5Wr16tcyaNUuWL1/e1As9dOKJJ0ZRNwAAspYU3y3ZvrYQEbsBAPmM2N0SsRsAkNe8Dgy/UsjDtvz1r3+VE044QdauXSu9e/cWL+XN6s8kzwEAna0jY5cX4pjnxG4AQL4jdjdH7AYA5D2v8JPnWWUHfvSjH8lJJ53kkud6Jfzzzz9vWj777LPoawkAQDsFUtShpdAQuwEA+Y7Y3RyxGwCQ97zCnzA0q+T5xx9/LGeeeaZ07949+hoBAIDIEbsBAIgXYjcAADFNnk+cOFFeeeWVSCty5ZVXuiFfzj777EjLBQB0TUHgNd3+3f4lHlfA24PYDQDId8Tu5ojdAIC85/sdWwppzPNHH3206efDDjtMfvzjH8vbb78tO+64o5SUlDR77hFHHNGuSrz88sty6623yk477dSu1wEA0JpAfLdkI9vX5RtiNwAgTojdxG4AQMx4hT/meZuT50ceeWSLxy655JIWj2nv8UQi0eYK6LjpOvno7bffLpdddlmbXwcAwKYkA98t2cj2dfmG2A0AiBNiN7EbABAzXgeS4PHInbe9a10ymWzT0p7EuTr99NNdT/YDDzwwm/oDANCKjkwWWhgThhK7AQDxQuwmdgMAYsUr/AlD29zzXP3rX/+SM844Q1566SXp3bt3s7+tWbNG9tprL7nllltkn332aVN59913n8yZM8cN29IWtbW1bglVVVW5fwPfd0vUXLmeZ1J2Y/kmxZrXu3EdVuUab3PDL6art3h267AcC0rL1nqbbXffdrtvXLKcxmHT5SeTkZf5v7IDCYLA/SsS/XqSrlwbyY11t1iHZb27onyN3R3poLAp1udhVvun5XcqZBWfrOOf5Tm19f5C3dnuXWWfiUnbNzbyNnZ7vrvTPGrexraI+9eCZbmGbSiVDIzOO4KN5x1G5Zt9lrnYXwxR99bZ5q+Mc2RxzdUYff8LUbuS5zNmzJBTTjmlRQBXffr0ke9///ty3XXXtSmIf/jhh3LWWWfJk08+KeXl5W1a//Tp0+Xiiy9u8XjN2LFSlDbueiQ8X+qGDRNPm/hB9Ikt3+gkUw8IdUOHNQYUo8SfWS7UeJuvGthP7Hiytu+gjXedRH8QKprQV8x4vvhjhjWmswy2e9WIMrGiifkNlUNc3T2L7+mqz8RKECRlfdVat79oYyRqRWvrxYqebK9Z3XinUdSNqOrqaOodTv6Z7WsLRb7G7q1Gl0tJSdvKaA/dHYcMLjE7H1y5osbsYlpVVZ0LH57RCcL6IaNNytWNvq7/4MbkmcFGH93QrtPVdtE6Dx5QZLa/1Lfxe5KP+3pppd0dOLqrDO5f5PZ3i2Zb0GB4DN+4z7h6G1Q+YXOIadruQwYWm2z3+rqEzImgHGJ3fsfuil3GSVmRwTHZ86TPmFFidUAr6lYqJnxPikaOaPxyGV38Xr72fxcxIj+Xr2k857a4IFI5YWcxY7y/mKLurarp19Nss2vivH7LLRs/AoN9plf1BjHjedJt9MjGnyOue0lDg8jLz0dyUcjLMrkfl4tg7Yp8r7/+ulx11VWt/v3ggw+Wa665pk1lzZ49W5YvXy5f+MIXmh7TIV+ee+45ufHGG92V7qKi5iftU6dOlSlTpjS7Aj58+HApnzdPuqU9N7KrUxJI+fvvmyShrfYRdzUtCKTbPJt6W9ddt7lV3Qf0GyRWGnveifRfscjkgJyYvUzMuA80kMSc97X7Y+TF9+7bXaw09nQMpPfi+SbbvWhAf7HS2OPckz79+5skywZ2/0ishL1jKytLxI+47uXl0VwMZdKx/I7dCxbWSFGxQe+1jUXOW1Bj0p6qqCy3+055IgMqyiP/ToWqP11oF/8Ckb5LF5ochxfWNYiVcH9Z+HGDyf5S87FdJtR6X+9WV2pbd09k4ScJk7on6+3uGnM9t3Wf+chmn2lYWyfW233+4rrI655oiKbexO78jt0rX50rpVY9z/UC9Zw3TO763Lq30YVM1+4WSbw516QNpQb2tOmEFPY4r+xZJr7BZ7pi9utixXp/sUTdW1c+xK6jY9jjvPztd0zyTNWrqsXMxrpXv/Zm5MeZmshOBrwO3ILmFV7yfNmyZVKyiR7excXFsmLFijaVdcABB8ibb77Z7LHJkyfLtttuK+edd16LAK7Kysrckk53fourpa7sIGgs3+ALZrmLWNbblW9Sag62ufGVaXfjutbfpCVofGKgddZ1mGx3y7r7TdvcYj22V0Ibj12aOLdYj1UCLqR113VEvZ6oyqP3Wn7Hbj1KWh2StdxwidP3yuo7lYsYaBn/rDuVWe4v1J3t3lX2majKI3bneewOkhIEVrdP61CGSZtkqGU7yrANpSwS283OOzYuUTNPalvuL9aoe0ZWuauc5MjimquJKnh7HUieewWYPB82bJjMnTtXxowZk/Hvb7zxhgwZosMnbF6vXr1k3LhxzR7r0aOHDBgwoMXjAAAgO8RuAADihdgNAED+aFdXx0MPPVR+/vOfS01Ny1tQN2zYINOmTZOvfvWrUdYPAICsJKWoQ0uhIHYDAOKC2N2I2A0AiA3P69hSaD3Pf/azn8lDDz0kW2+9tZv9e5tttnGPv/vuu3LTTTe5sdMuuOCCrCszc+bMrF8LAEAqva04+wlD4xHE24LYDQCIC2J3I2I3ACA2fD/7iRELccLQQYMGyQsvvCCnnnqqm0REZ2gOx8qaOHGiS6DrcwAA6GxMOtaI2A0AiAtidyNiNwAgNjzGPG9hxIgR8o9//EM+//xzmT9/vkugjx07Vvr1s5sZFwAAZI/YDQBAvBC7AQDID1n3j9dk+W677Sa77747iXMAQN7RIVs6smRD78AaOXKklJeXyx577CGzZs1q0+vuu+8+dxfXkUceKZaI3QCAfEbsbonYDQDIa17uxzxvT7v79ttvl3322cfFU10OPPDANrfTQ/EYXAYAgDyfdOz++++XKVOmuMmz58yZIzvvvLMb0mz58uWbfN0HH3wg5557rgvoAAB0ZcRuAABixstt8ry97W6dX/P444+XZ555Rl588UUZPny4HHzwwfLxxx+3eZ0kzwEABSnXvdeuu+46OeWUU2Ty5Mmy/fbbyy233CLdu3eXO++8s9XX6ETbJ5xwglx88cUyevToDr5jAADijdgNAEBMJwz1s1yM291/+MMf5LTTTpPx48fLtttuK7/5zW8kmUzK008/3fa32O5aAgDQRVRVVTVbamtrMz6vrq5OZs+e7W4BC/m+737Xq9utueSSS2TgwIFy8sknm9QfAICuhtgNAEC8VBm3u1OtX79e6uvrpX///m2uH8lzAEBBCsTv0KL0lq4+ffo0LdOnT8+4rpUrV7pe5IMGDWr2uP6+dOnSjK95/vnn5Y477nBjsAEAAGI3AABdcdiW4Ybt7nTnnXeeDB06tFkCfnOK2/xMAABiJBkEbsn2terDDz+U3r17Nz1eVlYWSd2qq6vlO9/5jkucV1RURFImAABxR+wGACBmvOwn/gxfZ9XuTnfllVfKfffd58ZB18lG24rkOQCgICWDxiXb1yoN4KlBvDWaAC8qKpJly5Y1e1x/Hzx4cIvnL1iwwE0Uevjhh/9vncmk+7e4uFjee+892WqrrbKrPAAAMUXsBgAgZvzsxi5veq1huzvVNddc45LnTz31lOy0007tq2a7ng0AQEwEG3ueZ7Poa9ujtLRUJkyY0GzSkXASkj333LPF83WikjfffFNee+21puWII46Q/fff3/2st60BANDVELsBAIgZryNDt4hpuzv0i1/8Qi699FJ57LHHZNddd233W6TnOQAAEZgyZYpMmjTJBePdd99dZsyYIevWrXOzgKsTTzxRhg0b5sZv01vExo0b1+z1ffv2df+mPw4AAGwQuwEAKNzYra666iq58MIL5d5775WRI0c2jY3es2dPt7QFyXMAQEGK4tbv9jjuuONkxYoVLjBrQB4/fry7sh1OZrJkyRI3EzgAAGg9/hK7AQDoWmOeW7a7b775Zqmrq5NjjjmmWTnTpk2Tiy66qE3rJHkOAChIUUw61l5nnHGGWzLRSUk25e67785qnQAAFApiNwAAMePlNnne3na3zjXWUSTPAQAFqTMa4AAAIHvEbgAAYsbrwISh+toYiEctAQAAAAAAAADIoYLoeV5eLlJeFH25gS+SKGks30tGX37SoMyw3kVFIsXFNvVWVsP2urr7dnWv/mStWAk8TzYU17h1eAa9Vvc+sLtYCTxfqkaUSe++3cULot/w/3lqvZjxfSmaUCuJ2etNvlS7N5SIlSCZlPpEkdQ0lIhn8KX6oHo3sax79YaVsqG6IvK6V1dXRVJOQpcg+9fCVrcte0txSfTHNb3zr2xQkXRPlInFDQSr64YbfacCWdfwuZTU9RPPz/K2x83o3q/MpNyk50lpzxIp61cmvsFG79Gjn1jxJJDy/iI9SkUCiX67W32WrmxPpLSySLrVlZrs6xs+jOZY3Frd60rLZcOHNSZ177+3zfc03GfKBtjtM3Ur19vuMwN86VYf/fGxoS6axhixGxbeWV9vs2F9X/rWNshqLd+ocR9Uf25Trh4EapISBOtdOxbobFvvNNCsbD1X/WzLPtLfrzQ5Vx28zDBX4/uyZnhf6VM7SLyIjzPViYRc8eaaWA7bkmsFkTwHACAdt34DABAvxG4AAGLGI3kOAEAsJYPGJdvXAgCA3CJ2AwAQM56f/djljHkOAAAAAAAAAEA8MWwLAKAgces3AADxQuwGACBmfK9xyfa1MUDyHABQkLj1GwCAeCF2AwAQM17hD9tC8hwAUJCCIHA92LJ9LQAAyC1iNwAAMeMxYSgAALHErd8AAMQLsRsAgJjx/cYl29fGQDxqCQAAAAAAAABADjFsCwCgIDFuKgAA8ULsBgAgZjyGbQEAIJa49RsAgHghdgMAEDMeE4YCABBL9F4DACBeiN0AAMSMt7H3ebavjQHGPAcAAAAAAAAAIA1jngMAChK3fgMAEC/EbgAAYsb3G5dsXxsDJM8BAAWJBjgAAPFC7AYAIGY8JgwFACCWGDcVAIB4IXYDABAzXuFPGNqptbzooovE87xmy7bbbtuZVQIAAJtA7AYAIF6I3QAAxHjYlh122EGeeuqppt+Lizu9SgCAAum9lgiCrF+L1hG7AQAWiN12iN0AALNhW3wv+9fGQKdnqjVZPnjw4M6uBgCgwHDrtx1iNwDAArHbDrEbAGDCK/xhWzo9eT5v3jwZOnSolJeXy5577inTp0+XLbfcMuNza2tr3RKqqqpy/wa+75aoBZ4vgee5fy0GuLHq2Oi2h9bbcNbawKho821ueFWrsd6Ni035fo7qbrAeyxmUtWx3pdNmHUEyaVKuKztIShAE7l9Jxmx/N6x7VNucScfyO3Z3ZF6ZTXHlGnZiCIxuS9By3XfK8LaHpFl88iSQxhhiccTU0q001rxxnzEp37AzTfgdslpHrOvOPtP6djf6bKMqk9id77Hbd0OtRs3beD7v/rVgWa5hOyT8TliVq+cdVuWbfZa52F8MUffcn6eGZbvzVKtzYcvcm2GOTI8BkfCYMNTUHnvsIXfffbdss8028umnn8rFF18s++yzj8ydO1d69erV4vka4PU56daNHiteSYnJF6B2yLDGA7NBAs0oTrkvVe3QYa7p4Gliy4BZUsJ4mycGdBNL6yuGiGf0wQYNhklcz5cNlUPM9pmiCf87+Y6c54s/pnF/F4O6r/1spVjRYLWhOmyMGDRELJPnyUA2rK1yVwG9bG/RasXa6upIyqEBnt+xe+TgIiktKzKp46ABvlnqbPWqz82+U+uq15p8p0IbKkaalKsNkbW9B0qg+QODGDiiXMzolq7s2fizxT5T22Czj4d1H9y/yFXcou51pXYbXsPTkMGN5+4Wp009B4jpdh+48VBnsd0bSgwTTnp87NfYUSLqutfV+vJCBOUQu/M7dlfsMk7Kigz633me9BkzSqwOCr3Mkuee9Bg9qvHLZXTxe0WNTRtQv2tVdYEEkhTfoM1QOWFnMWO8v5ii7q36bEtt04vduWrlEBf7LM5V1/euESuB78l6lyMT8SI+zqytrxd5/f2OF+TR89zUIYcc0vTzTjvt5IL6iBEj5IEHHpCTTz65xfOnTp0qU6ZMaXYFfPjw4dJj4TzpURR948Rd2QkC6TH/fZOEolWH1sarXoF013obrcTq/MN6m/dc10OshD23e3843ySBnqy3OzFo7KEcSO/FNnVPzF4vZjbu74k575t8qXr2rxArrte2W8cA15MnahYnws3q7on0sqh7cWm05SEvY/cHSxNSXJIw61m56NO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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Matrix Statistics (Alpha Band, 8-13 Hz):\n", + "============================================================\n", + "Standard Coherence:\n", + " Mean: 0.688\n", + " Max: 0.995\n", + "\n", + "|Imaginary Coherence|:\n", + " Mean: 0.297\n", + " Max: 0.875\n", + "\n", + "Difference (Coh - |ImCoh|):\n", + " Mean: 0.391\n", + " Max: 0.915\n", + "\n", + "Key observations:\n", + " - ImCoh values are generally lower (excludes zero-lag)\n", + " - Connection patterns are preserved\n", + " - Large differences suggest volume conduction inflation\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 6: Coherence vs ImCoh Matrices\n", + "# =============================================================================\n", + "\n", + "# Generate synthetic multi-channel data with connectivity\n", + "np.random.seed(42)\n", + "n_channels = 8\n", + "n_samples = 5000\n", + "fs_synth = 500\n", + "\n", + "# Create connected sources\n", + "data_synth = np.zeros((n_channels, n_samples))\n", + "t = np.arange(n_samples) / fs_synth\n", + "\n", + "# Source 1: channels 0-2 (alpha ~10 Hz)\n", + "source1 = np.sin(2 * np.pi * 10 * t)\n", + "for i in range(3):\n", + " lag = i * 5 # Small phase shifts\n", + " data_synth[i] = np.roll(source1, lag) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Source 2: channels 3-5 (beta ~20 Hz)\n", + "source2 = np.sin(2 * np.pi * 20 * t)\n", + "for i in range(3, 6):\n", + " lag = (i - 3) * 5\n", + " data_synth[i] = np.roll(source2, lag) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Channels 6-7: independent noise\n", + "data_synth[6] = np.random.randn(n_samples)\n", + "data_synth[7] = np.random.randn(n_samples)\n", + "\n", + "# Add volume conduction: all channels receive a bit of source1 with zero lag\n", + "for i in range(n_channels):\n", + " data_synth[i] += 0.2 * source1 # Zero-lag contamination\n", + "\n", + "# Compute coherence matrix manually\n", + "coh_matrix = np.zeros((n_channels, n_channels))\n", + "for i in range(n_channels):\n", + " for j in range(i, n_channels):\n", + " if i == j:\n", + " coh_matrix[i, j] = 1.0\n", + " else:\n", + " coh_val = compute_band_coherence(\n", + " data_synth[i], data_synth[j], fs_synth, band=(8, 13)\n", + " )\n", + " coh_matrix[i, j] = coh_val\n", + " coh_matrix[j, i] = coh_val\n", + "\n", + "# Compute ImCoh matrix\n", + "imcoh_matrix = compute_imaginary_coherence_matrix(\n", + " data_synth, fs_synth, band=(8, 13), absolute=True\n", + ")\n", + "\n", + "# Compute difference\n", + "diff_matrix = coh_matrix - imcoh_matrix\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4.5))\n", + "\n", + "# LEFT: Standard Coherence\n", + "ax = axes[0]\n", + "im1 = ax.imshow(coh_matrix, cmap='RdYlBu_r', vmin=0, vmax=1, aspect='auto')\n", + "ax.set_title('Standard Coherence Matrix\\n(Alpha band, 8-13 Hz)', fontsize=12)\n", + "ax.set_xlabel('Channel')\n", + "ax.set_ylabel('Channel')\n", + "ax.set_xticks(range(n_channels))\n", + "ax.set_yticks(range(n_channels))\n", + "plt.colorbar(im1, ax=ax, fraction=0.046, pad=0.04)\n", + "\n", + "# MIDDLE: Imaginary Coherence\n", + "ax = axes[1]\n", + "im2 = ax.imshow(imcoh_matrix, cmap='RdYlBu_r', vmin=0, vmax=1, aspect='auto')\n", + "ax.set_title('|Imaginary Coherence| Matrix\\n(Alpha band, 8-13 Hz)', fontsize=12)\n", + "ax.set_xlabel('Channel')\n", + "ax.set_ylabel('Channel')\n", + "ax.set_xticks(range(n_channels))\n", + "ax.set_yticks(range(n_channels))\n", + "plt.colorbar(im2, ax=ax, fraction=0.046, pad=0.04)\n", + "\n", + "# RIGHT: Difference (Coh - ImCoh)\n", + "ax = axes[2]\n", + "im3 = ax.imshow(diff_matrix, cmap='Reds', vmin=0, vmax=0.5, aspect='auto')\n", + "ax.set_title('Difference: Coh - |ImCoh|\\n(Potential volume conduction)', fontsize=12)\n", + "ax.set_xlabel('Channel')\n", + "ax.set_ylabel('Channel')\n", + "ax.set_xticks(range(n_channels))\n", + "ax.set_yticks(range(n_channels))\n", + "plt.colorbar(im3, ax=ax, fraction=0.046, pad=0.04)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print statistics\n", + "print(\"\\nMatrix Statistics (Alpha Band, 8-13 Hz):\")\n", + "print(\"=\" * 60)\n", + "print(f\"Standard Coherence:\")\n", + "print(f\" Mean: {np.mean(coh_matrix[np.triu_indices(n_channels, k=1)]):.3f}\")\n", + "print(f\" Max: {np.max(coh_matrix[np.triu_indices(n_channels, k=1)]):.3f}\")\n", + "\n", + "print(f\"\\n|Imaginary Coherence|:\")\n", + "print(f\" Mean: {np.mean(imcoh_matrix[np.triu_indices(n_channels, k=1)]):.3f}\")\n", + "print(f\" Max: {np.max(imcoh_matrix[np.triu_indices(n_channels, k=1)]):.3f}\")\n", + "\n", + "print(f\"\\nDifference (Coh - |ImCoh|):\")\n", + "print(f\" Mean: {np.mean(diff_matrix[np.triu_indices(n_channels, k=1)]):.3f}\")\n", + "print(f\" Max: {np.max(diff_matrix[np.triu_indices(n_channels, k=1)]):.3f}\")\n", + "\n", + "print(\"\\nKey observations:\")\n", + "print(\" - ImCoh values are generally lower (excludes zero-lag)\")\n", + "print(\" - Connection patterns are preserved\")\n", + "print(\" - Large differences suggest volume conduction inflation\")" + ] + }, + { + "cell_type": "markdown", + "id": "f1c9559c", + "metadata": {}, + "source": [ + "## Section 9: Imaginary Coherence for Hyperscanning\n", + "\n", + "In **hyperscanning**, we record from two participants simultaneously and analyze connectivity:\n", + "- **Within-brain**: connectivity between electrodes on the same participant's head\n", + "- **Between-brain**: connectivity between electrodes on different participants' heads\n", + "\n", + "### Volume Conduction Considerations\n", + "\n", + "| Scenario | Volume Conduction Risk | Recommended Metric |\n", + "|----------|------------------------|-------------------|\n", + "| Within-brain connectivity | **HIGH** - same head, conductive medium | **ImCoh** (essential) |\n", + "| Between-brain connectivity | **ZERO** - separate heads, no physical connection | Either Coh or ImCoh |\n", + "\n", + "### Practical Approach\n", + "\n", + "**Conservative strategy** (recommended):\n", + "- Use **ImCoh for all comparisons** (within and between)\n", + "- Ensures consistency across all blocks\n", + "- Easier to interpret (same metric everywhere)\n", + "- Slight sensitivity loss between-brain is acceptable\n", + "\n", + "**Selective strategy**:\n", + "- Use **ImCoh for within-brain** (volume conduction problem)\n", + "- Use **standard coherence for between-brain** (no volume conduction)\n", + "- Maximizes sensitivity between participants\n", + "- But requires justifying different metrics\n", + "\n", + "### Key Message\n", + "\n", + "> Between-brain connectivity has **no volume conduction**, so standard coherence is safe. But using ImCoh everywhere ensures consistency and conservative estimates." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "19bea407", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ Hyperscanning function imported from src.coherence\n" + ] + } + ], + "source": [ + "# Function imported from src.coherence:\n", + "# - compute_imaginary_coherence_hyperscanning()\n", + "\n", + "print(\"✓ Hyperscanning function imported from src.coherence\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "5d70b39f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+Ws4++2x59dVXzXPt3LlTTjnlFFm5cqWnbQWQmool+wIAP9FKFO1J0kRUjx49ovv1tlY5vfjii5KRkSFpaWnR/folftJJJ5nbLVq08PR69AvbS/Xr14+es1OnTrJq1Sp54oknZPjw4dGKKU18KA0gCmLs2LHSuXNnOfbYYz29ZmTVtWtXueWWW2Tq1Kly8cUX8xIBAAJNY5fYmKlDhw6mGueNN94wCaqgy/z6aOWSVvmPHz/exIFaxaSjACIV2jNmzPA0xqxTp4788MMPppM3Qqu2atWqZZKAOjIBgN2omAISqJrShFOE9vL8/PPPcuutt8revXvl66+/jt6nx2lSqkSJElmG8mki64UXXpAVK1ZEy5t1X+bhaJrM0rJpDRIWLVoUd3/m4XRnnHGGqWbSyiZNopUtW9Z8seuXfSL02nfv3i1bt241tyNJqYLas2eP/N///Z9cdtllcfu15+zCCy80ySptY/PmzeWll17K83za7ocfftj0tmmisFy5cua1+/3337Mc+9tvv8mVV15pjtEAJ3PvaKLXELF69WrzGmswpe+vDvcs6Pkjww5nzpyZ67Uq7UXU59Hn095Mff7M9L7zzjvP/H4BAICs9Ls2droCtW/fPrnnnnvMd3DJkiXNkL/JkydH788pdtNhb/rv2HhLh6LpPj02olu3bub7Ob/PFxtLaKyhcUSFChVMrLBly5Ysw+X++9//mjjzyCOPlGrVqpkq/USqp2vWrGniqzVr1kT36fm9FBtjartik1JKY9h69erJL7/84unzAkhNJKaABBJTWlasCY9I8qlGjRpy/PHHS7NmzaJJKw12vvzyy+gwvszuv/9+Offcc+W4446Llk/rvohNmzbJv/71LzMnk5Y1a9LrkksuyRJEZbZ06VIzbl8TN9qrpYmLq6++OqH3WQMSDZSOOuooORzaNk1ORYZCRqxdu9bsmzBhgint1vmrevfuna+Eivae6fugx2pbNfHVp0+fLMfdeOON5r3RYZQaJN59990yffp0T65BXXHFFXLWWWeZ82sPrD420fPnda1aAXX99deb59FjNDGlwxGy065dO5k9e3ZC82cAAGAbTdDopp1Y77zzTrYdZv/4xz9MRfgdd9xhvnO7dOliYigd/pdb7Kadh1oh/8knn5jj9Lv3s88+i9un9N86T1N+n0/pc2jHoyaktHL9mWeeMfHlRRddlKWN9957r+lE1LhRY4pRo0aZ+KOgdM4nHc5XmFXuecWYOoemDiXUZB2AAHABFMi8efNc/dN57733zO2+ffu6Xbt2Nf++5ZZb3G7dupl/z58/3xw3derU6GNr1arl3nzzzdHbPXr0cBs1apTlOXS/4zju8uXLo/s++ugjc75PP/00uk9vP/roo9Hb7du3d4844gh3y5Yt0X3PP/+8OW79+vU5tmnNmjXmmClTprgHDhxwd+zY4T733HNuWlpatD2ZZX7u3AwbNswtW7ZsrseEw2Hz3Ndff73btm3bLO3+8ssv4567Tp067sGDB6P79Hr1NVu5cmXc4/r37x/3HLVr13Z79+5doGvITuR1vf/+++P2n3766e4pp5ySUBvzutY2bdq4p512Wtw59fn1sXo9sSLnjP0dAgAgaAYPHmy+DzNvGrvFxhGzZ882+2fMmBH3eD3u5JNPzjN20+//nj17mn8vWbLELV68uHvDDTdEY8Tvv//enH/u3LkFej49b7t27UxcELFixQoT80Ri0Ugcd/nll8edS+PCjh075vn6aOyo8Ylueq6///3v5nzTp0/PMf7ZunWrmx+JxJiqT58+5rpyi18B2IOKKaCAWrVqZSaJjFRG6U+tTlFt27aN269lz5H7Ckp7qXTVkoiGDRuanzpsMDc6VEzLrwv6uMjcRMWLFzdzCVx33XWmuseLcf0bN26UypUrZ9mvVWdaFaYl7Pq8umlP4HfffZfnObWiKDKXl9JeT81ZLViwIO44nUgzQt8P7XmLfS0O5xqUVrHF0tdMh1zqXGMFPX9u16rn0/Nmfr7Mvb0RkddbX3sAAIJM4zatMtJNK5l03kutSI6ttP7ggw+kUqVKZshcpLpKN62KXrJkSfR7PSdaCRWpjtKfOlTtnHPOidunw9Ui847m5/l00nGNJ7U6Wm9HjtHqaq3W1/bkFEdEYsD8xH9a1R6JUXS+p48++sjM/6Rzg+aXxmCx7chcsV2QGPP55583UxeMGzfOrAQNwH5Mfg4UkH6pnnzyySZQ0LHxOqdUJPmkPyNzTun9GhDoOP9E6Bd3rMg8VTqkrzAep0aMGBE3X1Lm8f6J0ufWcu3MdF4GXblQV2XRJFz58uXNajBaqp6XY445Ju62PlZL5jMnYrJ7PbQ83ItryO46dIljHW6pyyjrvwty/tyuVedg0EAvu+fLTuT1/vPPP/PVDgAAbKXD2yIJIaVD7PU7VYfQ9evXTxo3bmy+t3WCb43zsqPxRW5JEl1p7t///rds2LAhOmRPV7DTqRm+//57s08n/46cPz/Pp51UmpDSFY2zW9V4/fr1ecYR+Yn/NHGn16fPpx1bmvQq6LyiOkVBr169ord1kSCdUqKgMaYOY9RpC3SIZOxCQwDsRmIKSIDOGzVmzBjT66YJAK1SUloVo5NNalJKkxHZjf9PZTpnQmzg5hXtEYxNBikNlHQ+hdGjR5sV5CLyOydS7KSfkfkQ9Jz6+ufX4V5D5DrS09Ojtzdv3myCTA3svDh/hFbBFStWLEu79fmyE3m9D3d+MAAAbBSZu0gnJ9fElMYq+l07bdq0bI/P3DGUmVbN6/e/Jnh0MvRrr73WnFM7pT7++GOzv3v37tHj8/N82tGlySKdID27VXazq0b3InGXCK1kj63gynxt+Ykx58+fbyrBNSH14IMPHtb1APAXElNAgompYcOGmTJnrZ7ShEGEVk3pqmvaQ5Z5su/M8tuT5Xe6QqBW/GipuK68ElmJRhM0kYouFZmQND90InFN+ESG8+lKhBq86fuRX4d7DUonIdeVEyN0MlUd7qnXpRV1h3v+CD1fy5YtzfPF9ppqu7OjK/QoLfcHAADxdGLt2ARKp06dzGq4+p3dtGnTAsduGt/o97ROZq4Th0cWv9FKqpdfftlM9h078Xl+nk/v04SXLvai1VipTDvCDqcz7JtvvjErFmpV1fjx4z29NgCpj8QUkAANErR3SXu5BgwYkOU+XUlP5bQiX2xv3cSJE+V///uf1K9f3wRHWt6cqjRo0C1i2bJlJjGiwZjOo5ATTdBpgkbnTIi8Jrq6jCaRdEW9SDWQ/lv3Z64KyimppL2H//znP02wpyvYaS9bQVZvOdxrUC+++KIpgddg9JVXXjE9ou+9955n58+82o5W4WmpvK4GqHNOaRI0OwsXLjSvhVe9qQAA+JXGIFqNo/bv32++PzXRo1MuRJJFOreTVv3oynh33XWXSRZph5pWVOkKx5HV7XKL3fRcujKyxgQ6dD+yT+dK0moqjREj8vt8ej5N1ugcTfrdr1NE6JQRM2fONPGArthXFHSInV6fxheRDsJy5cqZ1zAyn2miNCbS+aw0ntLOt8hzKH0dD/f8AFIfiSkgATqGX0uzNTGTeXJzva0TQOrk5TqBZG569+5tJuvWYV7au5Z5PH6q0eWHhwwZEpeU0U2HMEYqdLKjVTtNmjQxQU1ssm7y5Mlyww03mHZrL5tOEq5VRiNHjszzWvQ10yosXVZZg0ydFFwr2ArqcK5BaWA6cOBAU3KuZfc6sbkuJe3V+WNdeOGFphfxoYceMkmwNm3amLmq9Gdm+lrnNDE6AABBovMtRpJC2kmkcyhp/DB48OC4OZ60s007kJ588klZu3at6UjSYX6xcyflFrtpdZQmkmIroyL/1mFsmniJlZ/n07hSp47Qa9X9GvPoXFcdO3aUevXqSVG56aabzDVG6FBFpdf1wAMPHNa5tdMzMkm7tiuWvqZz5sw5rPMDSH2OLs2X7IsAYD9deUVXwdEJQHXI3eHQx2vgd+edd3p2fTbR3tZmzZqZ1zqv5ChgI61c1M8IrYrQCYR1CGx287PE0v/w0UmQ9e9H/6P1vvvuM4sXAAAABMUnSYqhCrbcAgAkSJcG1h5LLf1G4Ro1apSZYJWkFIJKh5toclaHz+SHDgfWuU06dOggS5culdtuu818Zs2YMaPQrxUAACDoMRRD+QAUCS1f11L3nTt38ooX8jwaWtofu/IPEDQ6511u895lpkNkNZGrSd3IHDI6dOaxxx4z854AAAAEwTlJiqFITAEoMjrRpxcYgZwznZRfl5UGkkVXq9I5ULymf/eZhwGXLFnSbIdr3rx5ZoWsWBpMaa8fAABAYdvrw/jJyxjKN0P5tm/fLldddZVZmUEnntaJB3UC4dzoKhX6JsRuN954Y5FdMwAAQQuqqpUuaybw9XrTyX4z7xs+fLgn171p0yapUqVK3D69vWvXLjME2e+IoQAASF17fRo/eRlD+aZiSpNSOvmWLo164MABsyrF9ddfb1a8yk2fPn3MalkRZcqUKYKrBQAgeLSnb4dkyH+kjpT2sO/rTwnLv3avkfXr10eXYFde9fbZjhgKAIDUtZ/4yR+JqZUrV8r06dPlyy+/NEutRlb40iXZdcn1Y489NsfHaiKqatWqRXi1AAAE2xFOSMo4aZ6dL6TrB7tiklKxiSmvaJywefPmuH16W58r8/LufkMMBQCAPxzhs/jJyxjKF4kpHbeow/ciSSml4xh1LpUvvvhCLrnkkhwf+/LLL8t///tf84JdcMEFcv/99+daNbVv3z6zxU4krCXwRx111GEvcQ8AQDLpPAO///676dDR71Ac0rZtW5k2bVrcy6EV2rrf74oqhiJ+AgDYivip8GMoXySmdNziMcccE7evWLFiUqlSJXNfTq688kqpVauWCcC//vprufvuu2XVqlXyxhtv5PgYHW85ZMgQT68fAIBUokPidM6BwqI5r5CHfTmmxy8j/8frHJSrV6+OW8pYlzDWuKFmzZoycOBA2bBhg7z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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Hyperscanning Matrix Comparison (Alpha Band):\n", + "============================================================\n", + "Within P1:\n", + " Standard Coherence: 0.961\n", + " |ImCoh|: 0.248 (lower due to volume conduction removal)\n", + "\n", + "Between P1-P2:\n", + " Standard Coherence: 0.956\n", + " |ImCoh|: 0.773\n", + "\n", + "P1 ch0 -> P2 ch0 (true lagged connection):\n", + " Standard Coherence: 0.994\n", + " |ImCoh|: 0.694\n", + "\n", + "Key insight:\n", + " - Within-brain: ImCoh drastically lower (removes volume conduction)\n", + " - Between-brain: ImCoh still detects true connectivity\n", + " - No volume conduction possible between different brains!\n", + " - ImCoh provides conservative, artifact-free estimates\n" + ] + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 7: Hyperscanning Coherence vs ImCoh\n", + "# =============================================================================\n", + "\n", + "# Create synthetic hyperscanning data\n", + "np.random.seed(42)\n", + "n_ch_p1 = 4\n", + "n_ch_p2 = 4\n", + "n_samples_hyper = 5000\n", + "fs_hyper = 500\n", + "\n", + "# Participant 1 data\n", + "data_p1_hyper = np.zeros((n_ch_p1, n_samples_hyper))\n", + "t_hyper = np.arange(n_samples_hyper) / fs_hyper\n", + "\n", + "# P1: alpha source (10 Hz) with volume conduction\n", + "alpha_p1 = np.sin(2 * np.pi * 10 * t_hyper)\n", + "# Store source signal without volume conduction for between-brain connectivity\n", + "data_p1_source = np.zeros((n_ch_p1, n_samples_hyper))\n", + "for i in range(n_ch_p1):\n", + " # True connectivity (with lag) between channels 0-1\n", + " if i in [0, 1]:\n", + " lag = i * 5\n", + " data_p1_source[i] = np.roll(alpha_p1, lag) + 0.3 * np.random.randn(n_samples_hyper)\n", + " else:\n", + " data_p1_source[i] = 0.3 * np.random.randn(n_samples_hyper)\n", + " \n", + " # Final signal = source + volume conduction\n", + " data_p1_hyper[i] = data_p1_source[i] + 0.3 * alpha_p1\n", + "\n", + "# Participant 2 data\n", + "data_p2_hyper = np.zeros((n_ch_p2, n_samples_hyper))\n", + "alpha_p2 = np.sin(2 * np.pi * 10 * t_hyper + np.pi/3) # Different phase\n", + "for i in range(n_ch_p2):\n", + " if i in [0, 1]:\n", + " lag = i * 5\n", + " data_p2_hyper[i] = np.roll(alpha_p2, lag) + 0.3 * np.random.randn(n_samples_hyper)\n", + " else:\n", + " data_p2_hyper[i] = 0.3 * np.random.randn(n_samples_hyper)\n", + " data_p2_hyper[i] += 0.3 * alpha_p2\n", + "\n", + "# Add between-brain connectivity (P1 ch0 SOURCE influences P2 ch0 with lag)\n", + "# Use source signal WITHOUT volume conduction to avoid artificial zero-lag\n", + "data_p2_hyper[0] += 0.4 * np.roll(data_p1_source[0], 10)\n", + "\n", + "# Compute standard coherence matrix manually\n", + "data_coh_combined = np.vstack([data_p1_hyper, data_p2_hyper])\n", + "n_total = n_ch_p1 + n_ch_p2\n", + "coh_hyper_full = np.zeros((n_total, n_total))\n", + "for i in range(n_total):\n", + " for j in range(i, n_total):\n", + " if i == j:\n", + " coh_hyper_full[i, j] = 1.0\n", + " else:\n", + " coh_val = compute_band_coherence(\n", + " data_coh_combined[i], data_coh_combined[j], fs_hyper, band=(8, 13)\n", + " )\n", + " coh_hyper_full[i, j] = coh_val\n", + " coh_hyper_full[j, i] = coh_val\n", + "\n", + "# Compute imaginary coherence\n", + "imcoh_hyper = compute_imaginary_coherence_hyperscanning(\n", + " data_p1_hyper, data_p2_hyper, fs_hyper, band=(8, 13), absolute=True\n", + ")\n", + "\n", + "# Plot comparison\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 11))\n", + "\n", + "# Row 1: Standard Coherence\n", + "# Within P1\n", + "ax = axes[0, 0]\n", + "im = ax.imshow(coh_hyper_full[:n_ch_p1, :n_ch_p1], cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('Standard Coherence\\nWithin P1 (alpha band)', fontsize=11)\n", + "ax.set_xlabel('P1 Channel')\n", + "ax.set_ylabel('P1 Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "# Between participants\n", + "ax = axes[0, 1]\n", + "im = ax.imshow(coh_hyper_full[:n_ch_p1, n_ch_p1:], cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('Standard Coherence\\nBetween P1-P2', fontsize=11)\n", + "ax.set_xlabel('P2 Channel')\n", + "ax.set_ylabel('P1 Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "# Row 2: Imaginary Coherence\n", + "# Within P1\n", + "ax = axes[1, 0]\n", + "im = ax.imshow(imcoh_hyper['within_p1'], cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('|Imaginary Coherence|\\nWithin P1 (alpha band)', fontsize=11)\n", + "ax.set_xlabel('P1 Channel')\n", + "ax.set_ylabel('P1 Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "# Between participants\n", + "ax = axes[1, 1]\n", + "im = ax.imshow(imcoh_hyper['between'], cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('|Imaginary Coherence|\\nBetween P1-P2', fontsize=11)\n", + "ax.set_xlabel('P2 Channel')\n", + "ax.set_ylabel('P1 Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Print comparison\n", + "print(\"\\nHyperscanning Matrix Comparison (Alpha Band):\")\n", + "print(\"=\" * 60)\n", + "\n", + "within_coh = np.mean(coh_hyper_full[:n_ch_p1, :n_ch_p1][np.triu_indices(n_ch_p1, k=1)])\n", + "within_imcoh = np.mean(imcoh_hyper['within_p1'][np.triu_indices(n_ch_p1, k=1)])\n", + "print(f\"Within P1:\")\n", + "print(f\" Standard Coherence: {within_coh:.3f}\")\n", + "print(f\" |ImCoh|: {within_imcoh:.3f} (lower due to volume conduction removal)\")\n", + "\n", + "between_coh = np.mean(coh_hyper_full[:n_ch_p1, n_ch_p1:])\n", + "between_imcoh = np.mean(imcoh_hyper['between'])\n", + "print(f\"\\nBetween P1-P2:\")\n", + "print(f\" Standard Coherence: {between_coh:.3f}\")\n", + "print(f\" |ImCoh|: {between_imcoh:.3f}\")\n", + "\n", + "# Specific between-brain connection (P1 ch0 -> P2 ch0 with true lag)\n", + "between_coh_specific = coh_hyper_full[0, n_ch_p1]\n", + "between_imcoh_specific = imcoh_hyper['between'][0, 0]\n", + "print(f\"\\nP1 ch0 -> P2 ch0 (true lagged connection):\")\n", + "print(f\" Standard Coherence: {between_coh_specific:.3f}\")\n", + "print(f\" |ImCoh|: {between_imcoh_specific:.3f}\")\n", + "\n", + "print(\"\\nKey insight:\")\n", + "print(\" - Within-brain: ImCoh drastically lower (removes volume conduction)\")\n", + "print(\" - Between-brain: ImCoh still detects true connectivity\")\n", + "print(\" - No volume conduction possible between different brains!\")\n", + "print(\" - ImCoh provides conservative, artifact-free estimates\")" + ] + }, + { + "cell_type": "markdown", + "id": "a22d23f4", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 10. Trade-offs and When to Use Imaginary Coherence\n", + "\n", + "### Advantages of ImCoh\n", + "\n", + "**1. Volume Conduction Immunity**\n", + "- Zero-lag artifacts → zero imaginary component → ImCoh ≈ 0\n", + "- Perfect for dense EEG electrode arrays\n", + "- Essential for within-brain hyperscanning analysis\n", + "\n", + "**2. Conservative Estimates**\n", + "- If ImCoh is high, you can be confident it's real connectivity\n", + "- Reduces false positives from spurious correlations\n", + "- Better for publication and replication\n", + "\n", + "**3. Directional Information (signed ImCoh)**\n", + "- Sign indicates which signal leads in phase\n", + "- ImCoh(X,Y) = -ImCoh(Y,X) (antisymmetric property)\n", + "- Can inform about information flow direction\n", + "\n", + "### Disadvantages of ImCoh\n", + "\n", + "**1. Misses True Zero-Lag Connectivity**\n", + "- Real instantaneous coupling also has ImCoh ≈ 0\n", + "- Cannot distinguish \"no connection\" from \"perfect synchrony\"\n", + "- May underestimate true connectivity strength\n", + "\n", + "**2. More Conservative**\n", + "- Lower statistical power than standard coherence\n", + "- Requires stronger phase lag to detect connectivity\n", + "- May miss weak but real connections\n", + "\n", + "**3. Sign Interpretation Challenges**\n", + "- Sign depends on arbitrary signal order (X vs Y)\n", + "- Can flip with re-referencing or preprocessing\n", + "- Absolute value often more interpretable\n", + "\n", + "### When to Use Which Metric?\n", + "\n", + "**Use Imaginary Coherence when:**\n", + "- Dense electrode arrays (high volume conduction risk)\n", + "- Within-brain connectivity analysis\n", + "- Need conservative, trustworthy estimates\n", + "- Publication in high-impact journals\n", + "- Replication/validation studies\n", + "\n", + "**Use Standard Coherence when:**\n", + "- Sparse sensors (low volume conduction risk)\n", + "- Between-brain hyperscanning (no volume conduction)\n", + "- Interested in total synchronization (including zero-lag)\n", + "- Exploratory analyses\n", + "- Known true instantaneous coupling exists\n", + "\n", + "**Best Practice: Report Both!**\n", + "- Standard coherence: upper bound (includes all coupling)\n", + "- Imaginary coherence: lower bound (excludes zero-lag)\n", + "- Large difference → volume conduction present\n", + "- Similar values → mostly true lagged connectivity" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "7c0852a8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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BqSWff2ELmN04/D4TMHVGgzPPDbrT9uFdj9n2/fqKt6+vrPrpJ3NsaLDrhbsGyzsb1ktAUKDprXbiwEGTBWR1y6OjpVhwkLmeXaNw3f8aINbyKLFYTPbWhSScO5clINXwmmtM5qE+pr+vnKrWqJHtuNT3/F216kitZs2kWuNGZhIEXa8eVxdybM8es180EK4/F374kQmGK32v2gelrsT76nLp/yEaCLQGpPTYu+aWm6VUxYrmd6tZkwWBjt9aRqfa9r7RTNqgx+6ZI0dML73LPaaz+6Lhnw0bbbevu+vOq7aNAADXRlAKAIoonfmoXPXqpjeONchx/b3DZMeqNbbgjzaerdeurQlKaVmHltScjYgwGQlWFyrd06yZaUt+ldAyZczt5IREk3WiNEMmJ+a+9rrD+l5bsdyM2yopPt7M9OWMflCc/OMPUq1RQ3Pb28dHfpr5jrm+N4evrxkj9jSwkhP7t25zCKD0GzVS7n72GXN94JNPyNievWwfoDVApyWIWiqWWesbbpCxsz8x29J7xANyZ/WatlIx3QZrUOq719+0PafzrbfKI+/MsN2u366tvHT3EFsZ0+BnJjrNbvMPLC6v/bY8S+nNlVh3WPlyZoZGLT9UD1/TyWStWYOHVj+/+64tIKVGv/euLUPPmhl15shR2/Uf3vqvVGzg44/J7U+NdfhdfTzh/D7/8e0ZJvDlbB9fiLePrylN1ACH9gzTGffmz3rflt1xzc39sw1KLf3iS9t7RYOjr/3+m23f9Bv5P7m3UROJ1fdTRITJVLnx/uGmt5qW5tkHpa67666LzpSmPc6e+/knExzIiWVffOkQkLrj6fFZgnZalpUTOtObZqNZ+8xpMEn/z9CL0mwlDXQOe+F5MxtfdjSbzVpWG16+vLw/9ilbwEoDZXrsXKn31eXavX69Qx8tDRzeMX7c+TGN/J/c16RZlkwiV6RZbtb/T/T9/+j7s8TL29sh+KbZb5dzTGf2ybOTZO5r/wWv9f3V5bZbr+p2AgBc15U/SwMACgz78gprHylrCVCt5s1NjyBrJpR+ONFlMjdBr3eBJuetevW0BaRUuRr/BZPi7Eo3sqPBCWvgQmnZnH1AyhqoCg4Pd/r8Wi1b2AJS51+/Rq5e/3JoFpM9+w9dWkamfZistExGP3g703PoPbZ+SPrhzz7jxLoNup80+8hq+Zw5pkeO9WINGlk/hP6zYYPT1+o88NYsAakrt+6BtoCUKle9mt12/Nc0f6fdrI4VatV0CEgpDTBYAzS6z+w/+M95aZrD2KwBKWtG1vF/A7C51WvoEFsZ2Jv/G2krb9UP014+Ptk+T3u1/beNMTKoSjXb2AaUq2A+uNuXRF2Ovg89lOOAlLKfPdOveDHp//CoLMtknm0wO1qap8FiPaY1mJ2ZHheajfPi4HuylOBalShTxqHPm/3/FSr+32PkSr2vLtfeTZsdbmu/JCstXWzRo7sUnEkvzs/OmHD2nAkqPXf7HfLR0xNMuaoG5bW315U6pnWd9gEpPe5ykjELACi8CEoBQBFmX3qnzcO1R4r1239rBpSWjVkbWGs2lfZLsf/Qqs1ts1OyomN2h8M38BkZFx2ffuix/xB7sWyRzEpd6PWz+XDs7MOyPe1zkxPaZ8hecMmSjrczBdKyC5JdaBs0U8j63Jxujzob4TyDw1kW2JVad+aeQp7ePk6PhXPR/+2HUpX++zDsjH2vsJyIzWZsF6PHuJY1qcjj5zPn9D2hpWZXanyXOrbcZvA5G5vOqnkp/bbs6f8Fo997R744uF9eWrzIzFTYvPt1DllK2t9r/5b/gswXOj687I4Ph2P9Cr2v7I9p+1k1c8p+9lEVlOl1M4/ravL0cix8cLY99n39zHO8/5uU4NFZs6RC7fP9/TQIpVlv37/5lkx/YIQMrd9QPnjqfAbYlTimdaIEq2bXdjOZlZc6CQEAoHCgfA8AirDM/aC+ffU124c/axaVj5+fVG/axDSp1kyp6NP/lfzUvUCWlMrSZDiXHz70W3z9wGL9AGlfRpITHp6Os8FdyoefRh2vMb2orJZ+8YVUbTj1os8rlqmELeb0aYfSJe3H5LC8k5n0croNAUHn+w1ZaQ+mem2zL6u0zx6z5+sky+VKrdszh7+L4iHBYi2Y1L5QF5K5TFBnpqtU93zWhzMXa7Z9IVqGpM3crbR3lX0W4MXGpzNF3vTgA9kuq4Ghy+Hj77zBfE7Gpv3e0tPTLzswZQ2a6gx0etFebsvnfGVmr7Q6vn+f6TV1qcfHpb6v3DKV8GmJoTWrSydLyK3M7wstabPfpzquvFK8RAnbLJHZvW/sSzF1Wft9VqV+PXl7zWozk+C+LVtMJqD+1Ibxus4fZ8w0vcoaXtPhso/pBh06SKW6dW3/lwAAQFAKAIow/ZCuvVvOHD3fo2fNvPm2LBAt37MPXmlQau+mTQ4ZBpc7Y9jF6IdGnd1MPyApbVytU8SXrVrVYWp4bdabXQnf5Wp9/fWmma91djXtJ1SzWbMsZWVKmxt7enmb/VKnZcssZSvW3jcaALBvLqwf9OxLC3NLSxi1kbe1zO5cdJTceP/9tgw3q/jYs7Jhya/ZNsvO63U7U6d1a1sDZO3hpE3W7Wf+0uNPZ+DTMkPdZ/qBXEvzVEpSounJlJkGKrRxtx7rl0qDLDWaNrX1v9IG5zl5js4Cp7SsqXHnLiYAYE+3R4+b0pX/mz3SI1PmS3Ki855pl6Nu69a2sWnT9u/feNPWbN5Km87nJJD32ZTnzP8XTbt1zRKIzjwbY+ZgTm5d6vsq8+vu+mu9CThr0OVbu3KynKrepLHD7d++/sbWU0qbgf91gQkYrjQt26xUr57tPbpu4SITYNKJK9SBbdsdxlO5fn2HslPt01W1YQOzvPU5amS7DnJwxw5zXf8P1qDUpR7TVpoZBQCAPYJSAFDEacDJ+kHOGnCq2qihw4dJbWatfUAyl3Fd7aCU6v/IKFvfIg0+Pdyho5l9L7xCBZPhsf6XxXL/y9Ok9Q3XX5XX1w9vo2a8LRP73yxpKSmmKfAr995nZmLTb/11P0WeOCHbfv/dBFFGvf2W2S86W5zOmmedhUtnidNshYq1a8vm5cttzZitWTiX24xZmwzruJQGYEa2a2+yGzRTRIM2+sFT+wiVKFXKIciT3+vO7Mbhwx1mXntl2H2y8rsfzP7UUqztK/+U+u3byb0vTDX7TIOUn02eYpbVD8snDx6Sxp07iV+xYhJz6pTs2bxZ/lm/wQRh2tx4w2WNTRu8a/mmh5eX+XB+MV1vv12+fvkV0/dK+yqN6dHTzBRXpmpVSUtONpMMbFv5p8mq0Sbl1t49oWUcS2LffewJM+Ohh6eHyS7J3FftUnS5/Tb5+pVXbRk9nz47yRyr2jhfA73ayDuwRKiM++Kzi65LMyh1OzVAqP9XVKhVywSUNWPnj+++sy2njbRzst8u5FLfV9UbN3LIunzhzrukcZfOcmzPXlvgJTc0CKe9mKyzAGojfGsQT2ehy+sm572GDZG3Rz1iK9Ub3bmLVP43I0m3T2ehtF/W3uPXXmeynjTztUSZ0qb328Ht2x32izWod6nHtNWwBo1sAX6dGVGb5AMAijaCUgBQxNVr18Yhu8Dcl6ksr06rVmaKeessTSqkVCkpW+2/ZtVXS/s+feTImN1mCnH9QKmz7f06++IflK+kBh3ayzPffiOvDr/fNhuffvi1/wDsjPbYGX9THzmya7e5verHn8zFnvYq0pm7Lpdmbh3audOUYCoNnuS0/1V+rjsz/VA/5pOPZdrQoSaDR3/nOmOjddZGpUEpK83uOfbPHln+1Vfmtmbz6eVqKF+zprnkVEBQoAnqaONo/RCvQVWdofBitHeaZgham/zbz2SnfdquRFBKAw9Pz/lCJt96uy0wteW3FeZi1arXf43Hc0IDlKt/nmcumWlwaPi0aQ7N7i/VpbyvtC9Yx1tusf1fF3/2rPz5w4/mevPrrpX1i3/N1Rg0wDXyrTdlfO8+5v8kPU6t69YswtqtWprs0ryiMzTq6+nseEoD6Hs3OzZjV10H3S7X3nlnlvs1gJhduaz2dmt3002XdUwDAJAdglIAUMRl7ivlrFeUfpDUD8n2H/atjdDzwm1jnjRNcRe8/6GZHVCbsmuPmJCSJU3ArGLdyysZywktXXl3w1+y/KuvZd2iRaZU5lxUtCn/0QyhGs2aSvu+faT5ddc5BO5eXbbUZP5o9oR+iE5KSDAZRtpXp+vtt0mHfv2u2BjvmvC0tOh+nSz84CMzS5buJ20iHhQeZjJJ6rdvb8boauvOTIMEb61eJfPemyWbli4zH5a1eXNgWJgpM9LH7YMdj7w7Uzr07ydLPvvMzP4XcybCBA30+Khcr5407HjNFRtbbunx+daaVTL/vVmmR4/2VEqKTzCZXGWqVJFaLVpIq+t7Sr12ju/DsbM/lQ/GjZcdf/6Z62bzOaXliDq2BbPel79+WSzH9u6R5IRE07epUp060qF/3xyt55F3Zsqm5ctNI3PNHNKyLg1YuHt6SljZslKnVUu54b77nPaSuhSX+r7635uvS0ipkqYkVJtw6yQC1951h9w0YoT0Dct9Y3It431x0UL5dNIk2+ylet/tT42RTcuW52lQSo93zehs27u3LPn8c1Nmam00HhQWan7X3QYNcjor4AOvvCw7Vq+WfZu3SPSpU+Z405JADUZpSWbf/z1kglGXe0wDAOCMm+Vq/JUDALhiDh8+LJs3b5a/EuKlSv36ppcOAABw7syRo3Jg+3Zp4R8gjRs3loqZZjEFALiOy2tgAQAAAAAAAFwCglIAAAAAAADIcwSlAAAAAAAAkOcISgFAAaBNbN1ErkqzYwAAChM9V7r9e+4EALg2glIA4OI8PDzMT/3TWmd6AwAA2cvISDfnTPtzKADANRGUAgAX5+npaX56uLlJelpqfg8HAACXlp6WZs6Z9udQAIBrIigFAC7O39/f/PRxc5ek+IT8Hg4AAC5Nz5V6zrQ/hwIAXBNBKQBwcdY/qH3d3SQ5gaAUAAAXoudKPWfan0MBAK6JoBQAuDjth+Hr6yu+mimVEJ/fwwEAwKUlxseZc6afnx89pQDAxRGUAoACICAgwHzrm5aSKsmJifk9HAAAXJKeI9NT08w5U8+dAADXRlAKAAqAsLAwCfLwNLMJRZ86ld/DAQDAJek5Us+Ves4MDQ3N7+EAAC6CoBQAFABly5Y1MwkFeXhI1MmT+T0cAABcUtSJkxLs4WHOmXruBAC4NoJSAFAAFCtWTIoXLy4lPDwlLjqGhucAADhpcB4XEyMhHp7mnKnnTgCAayMoBQAFhH7jG+LpKV5ubnLkn3/yezgAALgUPTfqOVLPlWRJAUDBQFAKAAqIKlWqiJ+Pj1Tw8jblCWcjI/N7SAAAuITYiAhzbtRzpJ4r9ZwJAHB9BKUAoIDw8vKSOnXqSJiXlxRz95AD23dIakpKfg8LAIB8pefCgzv+luLuHuYcWbduXXPOBAC4PoJSAFCAVKhQQUJCQqSqt7dkJCbK7nV/EZgCABTpgJSeC/WcWMXb25wjy5cvn9/DAgDkEEEpAChA3NzcpEmTJhIcECC1fXwlNS7O/DGuzV0BAChK9NxnvpyJizPnRD036jlSz5UAgILBzWKxWPJ7EACA3ImPj5dVq1ZJdHy87E5OklQ3NylXvZqUrlJF3N35vgEAUHhlZGTIyQMH5NjefeJlsUgtH18JCQiQtm3bSkBAQH4PDwCQCwSlAKCAB6biExPleGqKnExNFW9/PwkvX15KlC4tvvxhDgAoRBLj4iT61Ck5c/SopCQkSmkvLynr5S0Bfn4EpACggCIoBQAFWFpamuzevVsOHDggCWlpcjwtVWLS0iRdRPyLF5fA0BLiG1BMfAP8xcffX7x9fSlrAAC4NC3kSElKMuV5SfF6iZOzkVGScO6ceIhIsKenlPX0En9PTzPLXq1atcTT0zO/hw0AuAQEpQCgEDh37pxs375dIiIiJMNikdj0NIlKT5e4jAxJycgQ+zptN3d3cXen3wYAwPVkZFjEkpFhu61nK293dynm7i4lPDwkyMNT3N3cJCwsTOrXry/FixfP1/ECAC4PQSkAKEQStZTv+HE5ceKEREdH275xTs7IkCSLRVItFtE/9S0OYSoAAFyDm7iZmZi83NzE181NfNzdbRm+OrNemTJlpGzZsuLn55ffQwUAXAEEpQCgkEpKSpK4uDjTe8p6SUlJkfT0dNMkFgAAV6OTdXh4eIi3t7dpWm69FCtWTHx9ffN7eACAK4ygFAAAAAAAAPIc84YDAAAAAAAgzxGUAgAAAAAAQJ4jKAUAAAAAAIA8R1AKAAAAAAAAeY6gFAAAAAAAAPIcQSkAAAAAAADkOYJSAAAAAAAAyHMEpQAAAAAAAJDnCEoBAAAAAAAgzxGUAgAAAAAAQJ4jKAUAAAAAAIA8R1AKAAAAAAAAeY6gFAAAAAAAAPIcQSkAAAAAAADkOYJSAAAAAAAAyHMEpQAAAAAAAJDnCEoBAAAAAAAgzxGUAgAAAAAAQJ4jKAUAAAAAAIA8R1AKAAAAAAAAeY6gFAAAAAAAAPIcQSkAAIBLtGbNGlm7di37DwAA4BK4WSwWy6U8EQAAoChbt26dtGrVylzXwFTLli3ze0gAAAAFCplSAAAAlyAqKsrpdQAAAOQMQSkAAAAAAADkOYJSAAAAAAAAyHMEpQAAAAAAAJDnCEoBAAAAAAAgzxGUAgAAAAAAQJ4jKAUAAAAAAIA8R1AKAAAAAAAAeY6gFAAAAAAAAPIcQSkAAAAAAADkOYJSAAAAAAAAyHMEpQAAAAAAAJDnCEoBAAAAAAAgzxGUAgAAAAAAQJ4jKAUAAAAAAIA855n3LwkAAK6E1NRU28VisbBT81hcXJzD9ZiYGH4HeczNzU28vLxsFwAAULAQlAIAoIBISkqSM2fOmMvp06dNMAr5Z/v27Q7XfXx8+HXkIw1KlSxZUsLDw83F19eX3wcAAC6OoBQAAC4uISFBduzYISdPnjyfEZWWLpbUNLGkpYuIRSRDlyJTKq8FpIvUKVfJdj095lyejwFu/zajcJMMTw85mpAoR48eNRlUpUuXlnr16om/vz+7CQAAF0VQCgAAF3bo0CGThZOemioZCckiKWkilgzx9PSUoMBA8fbyFi8vT3F3o01kXkuMOSuhxQPN9fIlS0vlMuXyfAxFXYYlQ1JT0yQlNUViz56VtIQkEX0veHvKifRjJqOwfv36UqnS+eAhAABwLQSlAABwUQcOHDABqYzEZLEkJImvt4+Ur1xZSoaGSXBQkLi7E4jKTykJiVLc73wWTrVKlaV+7Tr5Op6iLiMjQ2JiY+V0ZIQcPX5ckmLixOLvK1u3bjWPValSJb+HCAAAMiEoBQCACzp16tS/AakkscQnSaXyFaROjZomQwpAVhqkLRESYi7VK1eRnXv+kUNHj0iGWMx7Scv4SpUqxa4DAMCF8JctAAAuJj093XyItqSkmoBUjarVpFa16vk9rCLj+PHjkpiYeNHlTpw44XB93759F32On5+flC1b9rLHiAvT4G2DOnXF29tb9uzfJxYPD/OeCgsLEw8PD3YfAAAuws3CHNIAALgUDW5oY/OMmHMSGhQsbZq1yO8hFRn6Z9Edd9wh585dnablgYGBMnv2bNOIG3lj9Ya/JDI2RtyDi5v+UlWrVmXXAwDgImhGAQCAC5buWbSheXqG1KtZO7+HU+SCUv369RNPD48rGjjSdek6dd3IW+Y9lJ5h3lM6gyUAAHAdBKUAAHAhaWlpEhUVJZKaJgH+/hJYvHh+D6nI9SXq37+/vPHmm1KjRo0rtl5dl65Tg1JkSeUtfQ/pe0nfU/re0vcYAABwDQSlAABwIRERESZbx5KaKuGhYfk9nCKrfPny8tJLL8mwYcPEy8vrkvoQ6XP0uboOXZeuE/kjrESoeU/pe0vfYwAAwDUQlAIAwIVoJoclPd2UG4WHhub3cKSoZ0317t1b3nrrLalVq1aun6/Pefvtt806dF3IPybAqyV86ekSHR3NrwIAABfB7HsAALiQ1NRUkQyLue7v55/fw4GIlClTRqZOnSoLFy6UDz/80MyOqBdnNPikM78NHTpUevToQamei/D38zt/JcMiKSkp+T0cAADwL762AwDAhZgPzJbzQSkvT747chXaB6pXr14yY8YMqVevXrbL6exuM2fMkJ49exKQciHeXl7nr1gs5wO/AADAJRCUAgDAhWgGjva9UZpxcyVMenWaeFUoZS7eFUtLaN3q0rhbRxk5fqzs3POPFGbV2zQ323mllCxZUiZPnizN2rWR4zGRpm+UXnx9fWXkyJHmsfCSJeVK6j90sHS9pa8UdomJifLyzLekWfcuElyritRs10Jef//dK7Ju63tJ31s0OgcAwHXwFSwAAC7EGpBSV3KWNj9fP1n81bfmelxcvGzbtVM++GK2fPDlZ/LetNdkUL+br9hrFXb6ezl08oQkuYs0atTI3H7ooYcklB5gl2X3/n0y85OP5NH7H5S6NWvK/CW/ymPPTpBSYeFya59+l/07c/YeAwAA+YugFAAARYC7u5u0btrcdrvbNR3lgbvult53D5L7Hn9E2jRrLlUrVc7XMRY0nh4eMnHixAsGEDUAoiWZPj4+UpCz9zIyMsxMgldz26pXriLbl68Uv3/7P3Vq215+/f03WbBsyWUHpQAAgGuifA8AgCJKS86mT3reBBY+/PJzh8c++XqONLm2kxSrXlEqNW8kT7/4vENzb31cywE3bd8mN9x5mwTVrCx1OrSW2d9+7bCeP/9aJ53732RKBkNqVzVlg59+85XDMguW/iptb+whxatXkjKN6sqDY5+Q+IT4i47/6InjctfIEVK6YR3zXH2dDVu3XPR5qzf8JdcO7GfGrOO686H75XTEGYdlkpOTZcJLU00JWUC1ClK5RWMZ8shI85j+nP3tV7Ljn92mHFIv9o817nqNLFy2RJpe19k8d96Sxeax7xfON6Vpuk8rNmtosoCSkpIcXlfLKbvc3McsU6tdyyz7yn65fkPuMuPX7eg9eJDsO3jwotv+1NTJ5neg5XH6e73jweFy4tQph2W0VPCmuweZ167Xsa3Zhi1/78h22/R3pSWSumxgjcqmZHLE2Mcl9uxZ2zofnzRRqrZqaoJb9hYtX2qOo7//2S3FAgJsASml++bUmTMSEhR00e0CAAAFE5lSAAAUYXVr1pJypcvImo3rbfe99t47Mvb5STJq2HCZ9vSzsnPvPyZAk56RLs+Pfdrh+YNHjpAhtw2Sh++935QCDh09Upo3aix1atSUs+fOmeBGuxYt5bO33hEfb2/5e88/EnM21vb8ufN/lttH3CeDB9wqE0c/ISdOn5JxL0yRmNgY+XzGe9mOOzomRjr16y3F/P1l+qTnJCgwUN7+6AO57tb+svP31VIyLDzbgFS3Af2kZ+eu8sWM9yQ+IUEmTntB+g0dLCt/XGBbbsDwIbL8zz9lzEMjpVXTZnImMlJ+WHT+8XGjRktEVKTs3rtHPnlzhrkvvESY7bnHT52SRyaMk7EjH5GK5cpJhbLl5efFi2Tg8KEysHcfeX7MeNm1b488/eJUOXL8mHz17ge2IEyvQQMlwN9fPp7+lrnv2VdeMvuxepWqtvXvP3RQrul7g9SrWVs+eOUNkwU39c3p0v22m2XHb39eMHPpdESEjHlolJQtVVrOREXKa+/NlK639JGty/5w6GGmwb1DR47IxEefkJCgYKlQtmy225aQmGgClpOeGCvhJULlyInj8sKb06X/sMGy5OvvzfP0GJk+6x1Z8vsKua5TZ9vrfPzVl2b/6nFoT9d398MPmSDW6OEjst0eAABQsBGUAgCgiCtftqzJSFHn4uJk0qsvyWP3PyhTxoyzlfp5e3mbbBft9xMaUsL23AcGD5EHBt9jrrdp3txkPX2/YJ7UGTVa/tm/z2TLTHlynDSoU9cs06X9NQ7lX09OeVYG3HiT6WtlVaZkKblx8O3y1KjRUq9WbadjfuOD90xwa9XPC20BqC7tOkjdjm3l1XdnygvjJjh93ripz0mzho3km1kf2Uru6teuY7KHNAOoZ5duJnCyYOkSmf3mTIeyMev1apUrS1iJUDnse8ShJNIqOjZGfp79hbRq0sx2320j7jXBl9lvvWNud+/cRfz9/GTEmMdl286/zf755Juv5Pipk7L9tz+lxr9BqMb1Gki9Tm0dglKTp78iJYKCZdEXX5tst/P7voXUbNdSPpzzhe334cz7r7zuEPjR8Vdu2ViW/7lSru3YyfZYVEyMrJ73i1QoW+6i26benvqS7bo2Eq9coaJ06nejOQZqVq1mgpTtWrSSj7/6whaUioyOkp9//UVen/x8lnE+MnG86Sm18POvpFL5CtluDwAAKNgo3wMAoIjT4JA1QLN6/V8SFx8v/W/obYIL1kvX9tdIYlKi7Ni1y+G5117zXyAjwD/ABBCOnjxhblerVFkCixeXh8Y9Kd/8/KOciYxweK4GLA4dPSI3Z3qta1q3EXd39wuW4mmvoU5t2kmJ4BDb83QWvA6t28j6LZucPichMUFWrV8n/a+/0QRkrM/ToIkGX9Zv2WyWW/bn7yZgNPCmS5vxToN29kEb3Z9bdmyXfr1udFhuwI19bCWOat2mjSYIZw1IqepVqkjDuvUcnrfk99/khmu7m8wm6zZoNpMGsKzbkB0tl+vQ53pT9udbuawJSKl/DuxzWK5B7bpZAlLOts3qs7nfSPMeXU1ZoF+VciYgpfbs/2+9Q2+/Q3769ReJio42t7/4fq54eXrKwN59sxwXMz/5UF55ZrK0b9X6gtsDAAAKNjKlAAAo4o6dOCE1qp4PhERER5qfLXt2c7qslmbZCw4KdLitzbCTkpLN9ZDgYFn4+dcy6dVpphRLgyftW7Y25XaaGRQRFWWWu/le55k9R48fy3bMkVFRsnbjBhMAyUyDYc5Ex8SaYJT2ctJLlm379/Uio6NNttalzn5YKtyxdFAzujTwVyr8vxI/pSWHWmoXHXM+SHPy9CkpGRaWdX1h4ZJo13tK95tmiuklM29vx2bk9v7avEn6DrlLel/XQ54Y8T8JDwsz29i+dy9J/vd3lt02XOj+HxYukHsefkiGDbpTJj8xVkqEhMjJU6fM7zUp+b/13nz9jTL6mfHy+fffyv+G3Gv6kmmgrnixYg7rswayNBAKAAAKN4JSAAAUYTt275JjJ0/IXbcMNLc180h9895HpqwvsyoVK+Zq/S2bNJV5s7+UxMRE+W31n6Zc7+Zhd8vuP9dJieBgs8zrk6ea5TLTvkfZ0YBX905d5JnHnszymPauckYDaBqE0Z5Kvbv3zPJ4WInzZYmhISGmt5V9BlluZH5GcGCQWY/2c7KnpY3aUD3k331euqQ2jt+aZX2nIs5IYLHittu637TM8P67sgbzMgd47P24aIEEFQ+UL2fOMploSjPVnG5DNpvt7O6583+SRvXqy8wXXrbd9/vqVVmW0ybmt/Xpb4JRWsqn2WPTn30u63K+vlKrWnXxLcAzFgIAgJwhKAUAQBGljbUfnvCUydbRRtRKewxp6drRk8elT89eV+y1NCChgZR9hw7K6InjzWvXrl5DypcpKwcOH5IRdw/J1fo0i0bLv+rUqGHKBnNCl2vdrLns2rvHNOW+0LqnzXjLlBwO6H2+xM5ZRpJ9FtCF6KxyGrT5bsE80xDe6pt5P5qf2ghetWjcRD6b+7XsPXDAlO0pvb717x0mw8xK+3JpMLFJ/QamZDGnNNvKy8vTIdD25fdzc/z8C63X28sxQ+uLH5yvV0v4tDRPM9W0TNFZeZ5un/bVAgAAhR9BKQAAioCMDItthr34+HjZtmunfPDFZ7L/8CH54JXXTWNqFRwUJM88+qSMfW6yKevr2KateLh7mOV0Brmv3/tA/P38c/Sa2vT8ozlfyE09eknFsuXk5JnTMuOjD6Rt85a2Bt3TJjwrd/7vAYlPTJBeXbqZmecOHT1qmo5PfvIp0+/JmYfvu1++/OE76XJzX/nf0HvN+nU2Oe3LVKZUKYfgj70Xxk00M/Td/sC9MqB3XwkJDpKjJ07Ikj9WyN0DbpWObdpJ1w4dTQDt3sceNjPdaRaXNv7+bv7P8sXMWWY9GlDTmePm/PCdaUKuWVbWfejMhEcek/7D7pa7Ro6QQX1vlt3798rTLz4v/XrdYGsCP/iWgTL1jdekzz132DLAdPa90uElHdalsxS2ubG79LpjoAy7/U5T3qf79vc1q6V9y1YOzdntacN6Lfkb9fRT0qdHT1mzYb18/t23crl0f40cP0aem/6qtG7WTBYuWyrLV/7hdNlGdeuZ2Rn/WLtanvu3kX5ms7/92uz73SvX0uQcAIBCjqAUAABFgDYp73DT9bbMHW1I3rldBzMLnQZY7D0y/AEpW7q0TJ/1jrz90Qcmu6ZqpcpyfddrzSx8OVWtchVTJjbhpalyOjJCQoNDpNs1nRyCEdrkXMvbpr45Xb74N0BSuXwFua5TFxNsyY423F754wKZMG2qPPX8ZImMiZaSoWFmhjsNgmWnbfMW8tvcn0yfq2GPjZKUlFQpX6aM2Rc6Xquv3/1AJk9/WWZ9PlsmvfayGYsGdayG3DpI1m/eJA9PGGdmkbvz5oHy4WtvZPu6N17XQ+a8875Mmf6K9Bs22JTgaUDJfl9oNtmCz7+Sh556UgaPelDKlS4tT40cbYKBMWfP2pbTLKpVPy+SiS9Nlf+NGyNxCfFSpmRJad+qjS3A5YwG2qY+9bT5nX7y9ZcmOPjDx59J3WvayOW47467TLbb2x+/L6+8+7Zc17GzfPrWTNOrypk+PXrJpu3bzD5zJiMjw/T+0vJJAABQuLlZOOMDAOAyVq9eLaePHRfLuQQTRMhNeRZQEHTuf5MEBRaXHz76LM9eU4Ncmn3nVtxfSpYrK23aXF4gDgAAXBlkSgEAAOCqW79ls6xct8ZcFn3xNXscAAAQlAIAAMDV1+aG7hIUGCjjRo02fagAAADIlAIAAMBVl3rkFHsZAAA4cHe8CQAAAAAAAFx9BKUAAAAAAACQ5whKAQBQCHv3zPj4wyu+3k++niNeFUpJRFTkFV93YbR5x3azv1as/vOKr/v19981s8llVr1Ncxk5fqzkt9weKwePHDbLz53/c7bL/PnXOindsI6cPXfuCo4UAADkJ4JSAAAUIj8sXCCHjh6Rewbelt9DwVX05gezZOGypVnu/2bWRzJ6+AP5vu97de0mf/w4X4IDg67YOtu1aCl1a9aS196becXWCQAA8hdBKQAACpE3PnhPBt7UV/z8/PJ7KMgHTeo3kMoVKubbvk9PT5fU1FQJDw2T1k2bi6fnlZ1T555bb5d3Z39sXgMAABR8BKUAACgkDhw+JCvXrZH+vW603Tfp1WlSsn6tLB/it+/aacqlFv+23Hbfe599KvU6tpWAahVMGdjzr78qGRkZ2b6elqXpOtZv2exwf/+hg6XrLX0dxhBcq4ps2r5N2t/US4pXryQtenYzt5OSkuTBsU9IeP2aUrlFY1OWltnqDX/JtQP7SVDNyhJat7rc+dD9cjrizEX3R0xsrIx6eqxZr25TjbbNZdwLUxyWudg2W8vQdKw33HmbGUOdDq1l9rdfZ3k9fW75pvXNtt5y7z1yJiIiRyVqo58Zb17b3rETJ+Tuhx+Sck3qmf1Vv1M7E3BUuqxmw8385EOzPr3oOLMr3/t+4Xxp1r2LFKteUSo2ayiPPTvB7PfMv8clv68w+zakdlWp1rqZvDzzrYvuY/0933T3IPn0m69s+3HL3zuclu+99PYbUrt9KzOOMo3qSvfbbjbHbHY2bttqlhv26Cjb7+Sm7j0l5uxZp6WLAACg4CEoBQBAIbHszz9MZkqLxk1s92nWVHRsjCxe8V/wSX314/dSMixMuna4xtx+66P35cGxj8u1HTvJDx/OlrtuGSiTXntZxjw36YqMLTUtTYY88j8Zdvud8vV7H5gg2YD77pH7nhgtfr6+8uWMWdK7e08TMFm1/i+HgFS3Af0kqHigfDHjPZn5wssmCNZv6OALvl5ycrJce2t/+fL772T0/SNk3qdfyNOPPC4RUVG2ZXKzzYNHjpBu13SUue9/Io3rN5Cho0fKzj3/2B5/++MPZOLLL8qgfrfI1+9+KFUqVpL7Hn/kkvZVZHSUdOhzvfy+epVMemKs/PTJZzJy2HA5fvKkrUSvdMmS0v/6G02JnF60XM6ZnxcvkoHDh0rdGjVl7qyP5dEHHjSBuMGjHsyyrO6LGlWrybezPpLru10nY5+fLL8sX3bR8W7YukVefedtmfjoE/LzJ19IhbJlsyyjQTzdP5rpNH/2l/LuS69Io7r15WxcXLb9o667tb8MvKmPzHp5uri7n/+TNbB4cVPCt+SP3y86LgAA4PqubE41AADINxqsqVmlqvj4+Njuq1WtugmizPnxexNosPr6px+k//W9xcPDw5RcPTf9VRnYu49Mn/S8eVwDNSkpKfLarHfkyYdGSmhIicsam65r6lNPS4/OXc1tzXzpc8+d0rJxU3l54vkgUOd27WXu/J9k7ryfpG3zFua+cVOfk2YNG5lAjJubm7mvfu060rhbR5Mt07OL82DM7Llfy+bt2+T3H+ZJm2bn16U08KRyu80PDB4iDwy+x1xv07y5LFj6q3y/YJ7UGTXarOult96QQf1vkRfHTzTLXNeps5yOjJDP536T6301/b13zHO3L19pK8Xr3K6DQ4mej7ePlAwLNyVyF6JBtlZNm8nst94xt7t37iL+fn4yYszjsm3n39KgTl3bsn173SATRj9urndpf40sXParzF3ws3nOhUTFxMjqeb9IhbLlsl3mr82bzGs9+dAo230ahHRm6R8rpP+wu+Whe4bJlDHjsjzesE49Wbdp4wXHBAAACgYypQAAKCROnjolYaGhWe6/9aa+Mu/XXyQxMdHc1g/0+w8fMllUatfePabMqv8NvR2ed0vvPiZIowGFy6WZLl3sAiuakaO6/JuppTRAVrVSZTl64ri5nZCYIKvWrzMZQRr4SUtLM5eaVauZAEjmskF7y1f+IXVq1HQISNnL7TZfe00n2/UA/wCpVL6CHD15wtzW8R4/dVL6dO/l8Jz+vW6QS81469y2/WX3hoqLj5ctO7ZLP7tyTjXgxj62bCR7117T0XZdA4C1q9c0ZYQX06B23QsGpKyBNA0SaibcynVrs+0JNX/Jr3LTPXfK2P897DQgpcJKlJCTp09ddFwAAMD1EZQCAKCQSEpONhk0mQ3o3UfiExJk3pLFttI9DapYs5GiY2PNT828sVfq39tRMdGXPTYt0fP29rbd9vbyMj8zz87m7eUtScnn+x1Fx8SaYJQGMvyqlHO4HD52VI4cP5bt60XGREuZUqWyfTy32xwcFOhw28vLS5KSks31E/8GSMLDwhyWKRnuuO6cioq+8NhzKuZsrFgsFikV7jiuoMBAk00XnWkbg7L8LrzMMXUxpXKwnYMH3Goy4n79/Tfp3L+3lGlcVx6ZOM4WKLWav2Sx+Pv6mWM2Oz7e3pJo1xMLAAAUXJTvAQBQSJQIDpaDR49kuV+zWNo2b/lvyd6N8u28n2RQ/5tt5XD6PJW5Mfepf5uJlwgOcfp61jLBlExZLxrwsa77cmggSNcz5qFRTku9NGMmO6HBIbJt185sH7/UbXamTMlSTtd1+oxjM3ZfH1/zUzOxnAXIbGMLCZETpy4/E0gDfrr/TmcaV+zZs6bnVkgutvFCcvKr1ky5kUPvMxfNvtJj8akXpkhYSKiMe3i0bblpE56VD778zDRBX/btj1K+TNb+VNroPDTkyowdAADkLzKlAAAoJGpWq25meHNGS/UWLl9qMlG01GzgTf0c+k6Fh4aafk72vv35R5PdZN843Z41YLBr738Nv7UkbtP2rVdke7RMrnWz5qbUrnmjxlkuFypv07JAbUS+dtMGp49f6jZntx80MPXDLwsc7p+7YJ7DbW0srxlWuj1WGqD6Y81qh+W6tr9Glq9aabLBsnM+i+nC2ULFAgKkUb368l2mcXwz70fzs12LlpIfypUpI48Mf8D0mLI/dlSAv79pll4iuIR0v/VmOXXmdJbn68yDNaudL/8EAAAFG5lSAAAUEpoNNWX6K6bHUeYMk5tvuFFGPzNeHnrqSTN7WaO69Rx6OT01arQ8MmGcKUHr2bmbCeZMm/mWyWzJrsm5vkbLJk1lymuvmNnxPD08zHP0+pXywriJZha22x+4Vwb07ishwUFy9MQJWfLHCrl7wK3SsU07p8+7o98t8s6nH8tNg++Q8Y88KvVr1ZZjJ0/KH2tXyzsvvnLJ2+yMruvxB/8noyeON+V/3Tp0NGVqK1b9mSVbqG+PXjLjkw+lWuUqJtNrxscfmhI7+8yyUfcOl8/mfiNdbu4jT416RKpWrGR6gO3Zv980i1e1q9eQ31atlCW/r5DgoCCpUrGi0zFPeOQx0zT8rpEjZFDfm2X3/r3y9IvPS79eNzg0Ob/aHhjzmIQEBUmrJs0kJCjY9Arb+vcOuf+uu7MsqzPsLfz8K+k2sJ90v+0WWfrN9w7btmHrZnnkvgfybOwAAODqIVMKAIBComObtubD+6LlS7M8Fh4aZhqNmywpJ/16dKazt55/SRYtWyo33XOHfDTnCxPQeGHchAu+5qdvzJRqlSvL0NEj5ckpz8r/htxrZsu7UrTv1W9zf5K4hAQZ9tgoufGuQfLc9FdM3yEN7GRHSwsXf/mt3HxDb3nxrdfl+jtvk0mvvCQlQ8Mue5ud0XVNfPQJ+Wzu13LzvXfL3gP75d2XXs2y3PTJz0vH1m1NPyWdAU9n6buph2Npov4OV3z/s7Rt0VLGPjfZbPNr7840GUZWk598SsqVLisDhg+RNjd0l3m/nu8XltmN1/WQOe+8L9t37ZR+wwbLtBlvyrDb75RPXn9b8pI2nNfG6vc9Ptr8Lr784TvTY2rIrYOcLh8SHCyLvvjazNLYc9BAU3KoNm7bKmciI6Vvz0trIg8AAFyLm0W/ngMAAC5h9erVcvrYcbGcS5CeXbqZLJzceHzSRNm8Y5v8+tV3V22MQH7RwOfGbVtyfXxrw/yFy5aIW3F/KVmurLRp0+aqjREAAOQcmVIAABQio4ePkHWbNsqWv3fk91CAK+rsuXPy4ZzPZcIjj7NnAQAoJAhKAQDgoi4lmblMqVLywatvSESk44xrQEGnjd+feexJ6dA691lOFAYAAOCaaHQOAIAL0XI9N3ETy78lR56euT9Vax8loLCpX7uOuVwKfS8pfW9dynsKAABcHWRKAQDgQry8vGxn59S0tPweDlAo2N5L7v++xwAAgEsgKAUAgAvx9vYWcTt/ek5KTsrv4QCFgu295OZOUAoAABdCUAoAABcSFBQkbp4e5sNzRFRUfg8HKBTMe8nd3by39D0GAABcA0EpAABcSHh4+Pkr3p5yJoJm5cCVYN5LXp6O7zEAAJDvCEoBAOBCfHx8JDAwUNy8PSX23FlJSqKED7gc+h7S95K+pzRLSt9jAADANRCUAgDAxZQqVUrcNKvDzU127dub38MBCjTzHnJzN++pkiVL5vdwAACAHYJSAAC4mCpVqoi3j4+4+fvK0ePH5MSpU/k9JKBA0veOvofc/H3Me0rfWwAAwHUQlAIAwMVoeVGtWrXEzddbxMdbNm7bIoePHc3vYQEFir5n9L2j7yF9L9WuXZvSPQAAXIybxWKx5PcgAACAIz09b9myRQ4fPiwZ8YkiSSlSIqSEVK1YScJKlBBPz/NNmwH8JzU1VSKjo2X/4UMSFR0l4ust7gF+UrFiRWnUqJG4ubmxuwAAcCEEpQAAcOHA1NatW01gypKSKhkJSSJp6eaDdXBQsIQEBYm3l7d4eXmKh4dHfg8XyHPp6emSmpomKakpEh0bKzGxMeZ9I54e4u7vK27eXiYg1bBhQwJSAAC4IIJSAAC4uFOnTsn27dslISFBLOnpYklJE0tqmn4iF8mwaPQqv4cI5B/NfnJ3E/HwMM3MdZY9Nw8PCQgIkPr169PcHAAAF0ZQCgCAAiAjI0MiIiLk9OnT5hIfH+/wONX4eS8tLc38XpS7uzsllfkgczmeBqJ0hj29hIWFmd8LAABwXQSlAAAogDRrSi/aQ0cv1uAILj/QFBMTI1FRUeYSHR3t8NP++rFjx8x1VaJECSlbtqz5GRISYn7aX7e/Lzg4mADWFaJBJy8vL3Px9/c3FwAAUHAQlAIAAIWSZo/FxsaaDDP7y5kzZ7K9bQ0yXW0apNJMnvDwcPPT/pL5Pr0dGBhITyQAAFDoEJQCAAAFQmJi4gWDS87u08ynq0Eby2upmHX9mqlz7ty5q5axprMtXixwlTm45efnd1XGAgAAcKUQlAIAAHlOgzlaApfT4JJeMvfRupKCgoJylbmky2fuV6QBKS39y01mlmZyXS0aNMvJtliva2mhBr8AAADyCkEpAABw2WVyZ8+evWgAxv6+q1km5+vrm6PgkvU+DcZ4e3tLfkhJSTHBuZwE5vS2XpKTk69qWWFOsrCs91FWCAAALgdBKQAA4CApKSnHQZKrXSan2Ug5DS5Zr2uz68yzshWmAKA2uM9NCaNernZZYU4zzPSnBg0BAAAUQSkAAAqx9PR0iYyMzFUvprwok8tpIENnqstcJofccVZWeLFjIK/KCnNyDISGhpoeXgAAoPAhKAUAQAEsk8tployWyenzrgYfHx8TQMhplkx+lskh92WFmYOZFzrmrmZZoWa9WWcrzGmjd8oKAQAoGAhKAQCQj2VyOSmNs7+kpqbmWZncxT78F+YyOVx6WWFOSwqvZlmhzoaY2+OZskIAAPIeQSkAAK5QmVxuGlbnZZlcTsqkKJNDfpcV5uS9kxdlhTlt9K6Zf5QVAgBweQhKAQBwkTK5nGQz5UWZXG568FAmh6JSVnih92VelRXmdLZHygoBAHBEUAoAUKTK5HKakXE1y+Q0aJTTD7F6H2VywOWVFeYmg1GDXnlVVpiT/wcoKwQAFGYEpQAABbJMLje9a+Li4vKsTO5iHzQpkwMKTllhToNZmll5tRQrVixXvbEoKwQAFCQEpQAA+ZrFcO7cuRw3+tb78qpMLidZDJTJAXBWVnixYFZelBXmtDeW/ixevDiTFgAA8gVBKQDAVSuTy0nPl6tdJpfTEhnK5ADkFQ2s60QHOcn0zMuywpyWFVNWCAC4UghKAQAuWiaXk+DS1S6T0wbBOQ0uUSYHoLCWFeamP1ZelRXm5P9mygoBAM4QlAKAIlYml9M+KRqQyqsyuYt9qKFMDgAur6wwp8Gsq1lWqIGpnPbGoqwQAIoGglIAUADph4bcNPrWi344udplcjn9xjwgIID+JQBQAMoKL3aeuZplhd7e3k5LBy8UzNIvPQAABQdBKQBwgTI5bd6d00bfeVEml5s+TMwmBwBFlwak9ByWm/5YeVFWmNNsXG0K7+HhcdXGAwC4MIJSAHAVy+Ry0ospr8vkLvTHOmVyAIC8KivMabZvXpUV5vR8qYEvfR4A4PIRlAKAHJTJ5aYXU16VyeXkm2DK5AAAha2sMCfn4rwsK8xJMIuyQgBwjqAUgCJXJpebhq95USaX0z9otcRAA1MAAODi53ydrTA3XyxdzbLC4sWL56o3FmWFAIoKglIACuy3phowulhpnP19V7NMTr811T8mcxJcsl70OQAAwDVoprOziUKy+ztDf16t7GhrWWFuZqqlrBBAQURQCkCB0rJlSzl27Fiel8ld7A9ByuQAACi6ZYU5zcDWssKr+QWZ/k1Svnx5Wbt27VV5DQC40ghKAShQypUrJ8ePH7/kMrmclMrpbHLMxAMAAK52WWFOglm5LSvUv5WOHj3KLw9AgeCZ3wMAgNzQb/80pT2nfZgokwMAAK5Cv/TSbGy91KpVK8eTrmiGVU77Y2lQCgAKCjKlAAAAAAAAkOeYxgkAAAAAAAB5jqAUAAAAAAAA8hxBKQAAAAAAAOQ5glIAAAAAAADIcwSlAAAAAAAAkOcISgEAAAAAACDPEZQCAAAAAABAniMoBQAAAAAAgDxHUAoAAAAAAAB5jqAUAAAAAAAA8hxBKQAAAAAAAOQ5glIAAAAAAADIcwSlAAAAAAAAkOcISgEAAAAAACDPEZQCAAAAAABAniMoBSDfZGRkSPv27cXNzU2KFy8uhw4dsj129uxZKV++vHmsevXqMmDAAHPd2WX69Om25+3Zs0duu+02qVChgvj4+Eh4eLg0a9ZMHnjggXzaSgAAgMvTqVMn2989zz33nO3+Xbt22e7/+OOPbfevWbNGbr75ZilTpox4e3tLWFiY9OzZUxYuXMivAoBLISgFIP/+A3J3lw8//FD8/PwkLi5Ohg8fbnvssccek2PHjpk/sj766CPx9/e3PdaqVSuHi/7BZQ1kde3aVebMmSORkZFSt25dE+zaunWrzJ49O1+2EQAA4EqaNm2aREVFZfu4Bqf0S7+5c+ea5WrUqCGJiYmyaNEi6dWrl0yePJlfCACXQVAKQL6qWbOm7Ru/X375RT755BP57bff5P333zf3jRw5Ujp06ODwHP32z/4ycOBAc/+qVavkyJEj5vqOHTtk06ZNsn//fhOgsv/2EAAAoKCKjY2VF1980eljx48fN9nh6enpJtN879695m+io0ePSuvWrc0yEyZMkA0bNuTxqAHAOYJSAPLdqFGjpF27dub66NGjZejQoWKxWMwfU88//3yuygGtZsyYIWvXrpWkpCQJDAw0KewAAAAFmf5tpFngb775pglAZfbNN9+Yv33U+PHjTTsDFRISIlOnTrUt99lnn+XhqAEgewSlALhEGZ+W6GkZn6aZa3aT9T77sj2rzD2lDh48aO7v3Lmz1K5d21x/+eWXzTeCQUFBpqRPs7AAAAAKstDQUPMFnpbjTZo0Kcvju3fvtl1v3Lixw2P2t+2XA4D8RFAKgEvQfgf2f1yNGDHC9ENwJnNPKW1orjSotW7dOrOepk2bioeHh6SkpMiyZctMc8/ly5fn2fYAAABcDY8++qhpXP7BBx+Y8rzs6Bd39vQLPwBwNZ75PQAAuaMNwfXbsdTUVHPRMrfCQmfbs6pUqZItA8q63VbayNxecnKyw7J33nmnuehzNEPq8ccfN/tJm51XqVJFCir949LLy8tcNABXrFix/B4SAADIY1q+N3bsWBOcmjhxosNjtWrVsl3X3poNGzZ0uO1sOQDITwSlABeXlpYmZ86ckdOnT5uLtU+A0kBL4QlJiezbt992/cjRo7Jl61bb7ejoaNt1+/sdnr93n+zatVOuueYaKR4YaO4rWbKkeHh6SlpqqiQkJGT73ILALdO3nr6+vmb79BIeHi6envyXDgBAUfDggw/K9OnTZePGjQ73aw/NJ5980nxhN2XKFNPCQL/0i4mJkTFjxtiWu+OOO/Jh1ACQFZ9gABemM6X8/fff5g+L1PQMSUrLkKTUdEnLOB+QyihEWVLqnMVLytZsYK6neAbI8dj/AnDeJcraHnvutZkOz6tbv560atlSjp9Nkvkr1sj839dKSHCwKevTmfdKVqltSvlqN2/vsM6CyP3fPlqe7iK+yWlyLj5BDh8+bLa1bt26DtlmAACgcNLzvmZJDRs2zOH+cuXKycyZM839WtpXrVo10yLhwIED5ss59eyzz0qzZs3yaeQA4IigFOCCdBa5v/76y2RGJaSky9mkNEnLyDC9AIJDSkhgUJB4enmJp6dXoeoP4O7lKz7+50vSyleuKnUbNLI9tmrtevHx32euR8TEOjxPn6PLlq1YWZLTLbJr1y6JiDgjsefixD8wWCpVriQ39Lpe6tevLwX9uEhLSzVZX2djYyUmOkpiE1PF091dAn3TTVr+sWPHpEWLFoXquAAAAFndfffdMm3atCxNy++55x4z8YtO+vLnn3+ax3Um4g4dOsjIkSOlV69e7E4ALsPNUpga0gCFgAYetFn3qdOnJSo+VZLS0iW8VGkpV76CBIWUMBk/gEpPT5fY6Cg5dvSInDl1Unw9PaREgJeUKllSWrZsSWAKAAAAgEsjKAW4GC3X27N3r0TGp0i6uEu9hk0kNDw8v4cFFxdx+rT8vW2zeEiGhAZ4S43q1U05HwAAAAC4Kuo7ABdy7tw52b9/v5xLSpPUDJGGTZsTkEKOhJUsaY4XPW70+DHH0blz7D0AAAAALougFOBC9uzZIylp6RKXki6VqlYz/aOAnNLjRY8bPX70ONLjCQAAAABcFUEpwEVoezdtbJ6Ymm76RlWqUi2/h4QCqGLlqub40ePozJkz5rgCAAAAAFdEUApwEbGxsZKamirJaRkSEhpGk2pcEg1I6fGjx1FKSoo5rgAAAADAFRGUAlyEZkmlZ1hMMCE0jMbmuHR6/OhxpMeTHlcAAAAA4IoISgGulCmVnmGuh5QIze/hoACz9iLT44lMKQAAAACuiqAU4CK0dC/93/4/Pr6++T0cFGDW4yfDcv64AgAAAABXRFAKcBEaPNCYlLu7O/2kcNl9pfQ4yrBYCEoBAAAAcFkEpQAXkZ6eboIIHp6euX7umJHDpXap4uay9s8/HB7r0rye7bG8dKExuZKjhw/ZxvnmtOelsNDjSI8nPa4AAAAAwBURlAIAAAAAAECey31KBgAUIuUrVpJdp87l6xiSEhPF188vX8cAAAAAAHmNTCmgCEqIj5cXJo6Va1s2lEaVwqVFjfJyY8dWMv6RB02AxOrM6VPy7JOPmBLABuVLSJu6lWX08Hvk0IF9l10q9/oLk+XV556R1nUqSataFeXlyU+bUrOFP34nPdo2kWbVysqQATeZ51idjY2Rxx4YKr3aNzNjrl8uRNrXryYjh94he3btdHit5KQkmTRmtFm3Lvv0o/+TZb8ssL3+d3M+u2D5nvU+LUP86tMPpXvrxtKkcim59fqusnP7VofXemrUA9K7U2vzWjom3ab7bu8vG9etdljuzr49zTp1f67+/Tfpd20HaVAhVD7/6D2pUzrQPPba8886POeBOweY+1vVrigpKSmXtN8BAAAAwBWRKQUUQS89O07mfPKBQwDn3NlY2bPrb3l0/LMma+fUyRMyoEcnOXXiuG256MhIWfDDt/Lnb0tlzoKlUqVajUsew5efvC8xUVG22++/NV327/lHli9eKJZ/ZyFctWKZPD5iqHw5b4m5fTY2VuZ997XDeiLOnJbF836UtX/+Lgv+2CCh4eHm/meefFi+n/O5bblvPvtYViz5JdfjXLpwvvzw1Re225vXr5MH775Nflm9Wby8vMx91gCXlW7X70sXy5qVK+TbX36XmnXqOjweHREhw++4WVKSk81tTw9Padepq6xcvkR+/OZLGTXmadOoPC7unPy5YplZ5vq+t4i3t3euxw8AAAAAropMKaAI2rD2fAZPj959ZeP+k7LunyPyzaLfZMSjY8TLx8c89uaLU0xAqnhgkMz+YaFsPRwh3y1ZKUEhIRIbEy3Tp066rDGkJCXLFz8vlqXrd0hAsfNN2DWT6ebb7zLj0bGpTX+ttQXGgoKD5Y0PP5PfNu0y49GxT37lTfNYbHS0LWB1cP9e+fHrL831ytWqyy9rNsuSddskMCgo1+PUYJ2+xl97jkrfWweZ+44fOSzbNq23LTNtxgey5K/tsvngadly6IzM+vK789uYnCzffv5JlnUmJiZImw6dzHas2XVIrrvhJrn9nnvNYyePHzPBKbX8l4W2wFXfgedfGwAAAAAKCzKlgCKobPkKJitq47o1MvO1l6RG7TpSt0FjGfnEONsyK5YutgVl7uzTM8s6NAvocnTteYM0bdnGXK9Wo5Zs/TfIc9/IRyUwKNgEbRb99L257/jRI1KqTFkTIDt25LC889o0ObhvryQkxDus88C+Pebnlg1/SUZGhrl+170jpFKVaub63cMfkvGjH8rVOBs0bia33HG3ud6zdz9b9tXxo0elacvzy6Snp8mj998je3fvkoT4OFuml/2Y7Lm5ucnkV9+SkqVKm9vBISXM9pWrUEmOHTkk337xqVzT9TpZPO8H83iNWnWkQeOmuRo3AAAAALg6glJAIeDj42u7npz0X08olZSQYH56/5sBpZ585jk5ceyo/LNzh8x681WHAMwHX/9ggkLRkREXfE3NTLoc5SpU/G/8fv+Nv0z5Cuanl12pmrWX0sfvvCUvTnwq23Um/bvtp0+esN1XukxZ2/VSZcvlepyVqp4PaClvu/2cknI+g+nXBT/JmP8Nv+iY7JUIDbMFpKy0XO/WwUPklSkTTQmj9rr649+MqT4Db8/1uAEAAADA1VG+BxQCpcv8F2zZ+88u2/XIM2ckJvp836YyZcvb7q9ao5b89Nsa+XXtVpk5+2t56PGnxMPDQ7Zt3iBffDjLLBMSGmZ+Vqlew8xOl/my8+TZyxqzh6fzmLhnNverRT+fz5zy8fWVrxculx3HY+Sn39ZmWa5k6TK266dPnbRdP3nsaK7H6enl6ZDhlGVMP53PZlK6L7cdjZIN+/8Lijnjk81Me1q6qMHD1JQUefKhe03Tef299L7ltlyPGwAAAABcHUEpoBBo36Wb7foHb003zbI1y2bsqPttZWztOne1LfP+W6+ZDB8NDGmD7R439rVlW0X9myF1TZdrzc8De/eYWem0j1RiQoLp8aSz2tlnWOUVa8aUBocCihUzs/G99fJ/M+ZZNW7e0mQeqc8/eNdkHR09dFA+ee/tqzCm8xlTSntjJScnyWvPOc6gl1MaCOx5Uz+Hvl/tO3eV8JKlrtBoAQAAAMB1UL4HFALab+imW24zwajIiDPy5EP3OTyuQY3hox5z6Bf11+SVTtelQRA18snxsvK3pabJ+NsvTzUXew8+NlbyWufresrfWzebDKLrO7Qw91WsXDXLctpDqs+A282seHt275RuLeqb+8PtSuacZT1d6ph+nf+TuX5X357ZjimnBt1zn61Ju+ozgAbnAAAAAAonMqWAQmLqG+/IuOemSb1GTcTfP0C8vLykbIWKMuDOe+SbX1ZIKbuSNp3JTTOktMxNezfpjHqaXfTqux+bBttKG29/u/h3MyucrkfXFxIaKvUbN5UHHnlC+uRDSdnwkY/K4PselNCwcPEPKCbdb+wjr7zzodNlJ7zwqhm79scqVjxQ+t92pzw8doLt8aDgkCsyJt2XD4+ZIKXLlhNfPz9p27GLfPDVfyV9udWwaXPzO7SOsWuP66/IOAEAAADA1bhZ7KeJApBvli1bJiciYyQxw106dP6vHA+XZvffOyQgIEDKV6ps6681cuggUxanfZtWbNpl65vlSjQL7KbObeTQgX1yx9D7Zfzz0y5pPVq+6eeeIWVCg6VLly5XfJwAAAAAcLko3wNQKK1Yskhefe4Zkynl5+8vEadPSXp6unls1JPjXTIg1bNdUxM8015Z2sx98H0j8ntIAAAAAHDVEJQCUCg1bNpCWrbtIHt2/y2RZ05LscBAqd+oqQwacp906d5LXJE2ldfZ9qrWqCmPT5giFSpXye8hAQAAAMBVQ1AKQKHUuv015lKQ7Dp1Lr+HAAAACqioqChZvXq1tGnTRkqUKJHfwwGAHKHROQAAAAAUcLfffrvccMMN5icAFBQEpQAAAACggDtz5ozDTwAoCAhKAXCwZcNf8tgDQ6Vz0zrSoEKotK1bRW69vqt8OPMNSYiPz/HeWvvnH1K7VHFz+W7OZ+xlAAAAAIADekoBsHn39Zdl+tRJYrFYbPdFRUaYy+b166RNh05Sp35D9hgAAAAA4LKRKQXA+HXBT/La88+agJSfn78899rb8teeo7Jx/0n5+Nt50rHbdS67p9LT0yUlJSW/hwEAAAAAyAWCUgCMt19+wbYnnnz2eel/+11SPDBI/AMCpHWHjvLu53OlZp165vGtG9fLA3cOkNZ1KkmD8iWka/P68ty4JyQmOsrp3kxLTTUZWB0aVJeWNSvIw/feJdFRkQ7LnDl9Sp598hHp0ryeWWebupVl9PB75NCBfQ7LWUsCx4wcLp/OmindWjQwy+/7Z5d5/OD+vfLkQ/dJh4Y1zP3XNKopTz/6P4k4fdq2jqOHD9nW88aLU+Sd16ZJpya1pVm1sjJ0YB/zuL34+Dh5/YXJcn2H5tKoUrg0r15ObuneSVYs+cW2TNy5s/Ly5Kele5vGpuxRt/P+O26RHVs3c4QBAAAAgBNuFvs6HQD5ZtmyZXIiMkYSM9ylQ+duefraGhDSgJEKKFZc1uw6JF5eXk6X/WPZrzLiroGSmpqa5bHK1arL1wuXS2BQsOkpNbhfL3N/aFi4REY4Nt28vu8t8so7H5rrp06ekAE9OsmpE8ezrDMoOETmLFgqVarVMLc1kGTuDwmR2Oho23LfL/1T3N09ZFDv60yAKLOyFSrKt4t+kxJh4Sbo1K1FfXO/Bt7OnY11WLZJi1by5bwltoDUoBuvk107tmVZ54OPjZX/Pf6UWea267vJPzt3ZFnG28dHPvrmJ2nWqq3kpT+WLxE/9wwpExosXbp0ydPXBgAAea9Zs2ayceNGadq0qWzYsIFfAYACgUwpAHL8yGHbXqhQqXK2ASmNYU8a86gJSPn4+sqsOd+bEr/B9z1oHj+4b6988PbrWZ6XlpYmX/y8WFZu2yc1atc19y2e/6NkZGSY62++OMUEpDRANPuHhbL1cIR8t2Tl+cBTTLTJsspMA1IjHh0j6/45Ikv+2m7G/cKEMSYgpQEoDVLperT00NPT02zj+29Pz7KepKREmfHpV7J292Fpe01nc9+mv9baAmSfvjvDFpBq3b6jLFy1UTbsPyEfffOz1GvQyLaMBqQ8PDzkrY++MK+7aPUmqVSlmqQkJ8vUCWM5ygAAAAAgExqdAxA3N7cc7YUD+/bIkUMHzPVO1/awZXQ9PHaCfPHReyZYpRk6jzw10eF5Nw+6S5q2bGOua2+qPbv+ltSUFIk4c1pKliotK5YuNo9pxtKdfXpmed01K1dkua9qjZoy8olx5rpmZiUmJMi6VX+Y2xqA6tu1nZP1/J7lvq49rpcu3c9ndF17fW9Z9fvy8+s4ekRKlSkrK5b+V6L34tuzpFTpMuZ6m2s62e63LqO9rR665/Ysr7F980YTLCtWPNDJXgUAAACAoolMKQBSpnwF2144cuigyWxyJsauD1TpsuVs1/38/SU4pIS5Hh0ZkeV5mjFk5e3ja7uuWUTZPceefZmeVa0658vvrM7GxpigUG7X4zg2n//G9m/j9OjI89usASVrQCoz6zIXfO2YmIsuAwAAAABFCZlSACS8ZCmpXa+BKVOLjzsnc7/4VAbeNSTLngkuEWq7bt//KSkx0dbkPMRuGdt/NHblgM6yskJCw+TMqZNSpXoNWfjnxiyPO2t95+P3X3DL2ntKy+c0MNW+czd5f873OVrPxccWapqta6bT6VMnTWZXdsv4BxQzZYCZyx/1dXOajQYAAAAARQWZUgCMBx8bY9sTLz4zTr6b85kJxCTEx8uaP1bIfbf3N8Gn8hUrm2WWL14oq1YsN8tMf2GSrfG5BoRy65ou15qfB/bukTenPW/6SGk5nvZ2mjRmtMx689WLrsPXz09atGlvrv/521L56tMPJS7unLno+J948F75ee5XuR5bp249bNfHPHSfmd1PG5trI/dli+afH3/X68zPhPg4M16d6S85KUn+3rZFXpkyUZ4f/2SuXxcAAAAACjuCUgCMa3v1Nr2hNKNHgytPjXpAmlcvJ02rlpa7b75Bfl+62Dz29NSXTeNwDboMGdDbLPPxO2/ZSuGGPjgq13t05JPjTf8m9fbLU6VVrYrSpEopue2GbvLFR7Mk+d8yv4sZO+kFU2anmUkTHx8lzauVNRcd/0/fzsm2LPFC7rzvAZNFprTfVI82TaRZ1TJmZsEd27aY+++6b4TUrFPPXP/ms4+lfYNq0qhSuPTr1t4E1M6dc5zdDwAAAABAUAqAnfsffly+nLdEru97i+kZ5eXtbUrTGjVrIY9PnGKCTh27dZfZPywyjc61ZE4DVGXLV5BBQ4bLnPlLzH25pQGpbxf/Lrffc6+ZOU/L3/R16zduKg888oT0ueW2HK2nVr368u3iFXLTLbdJydJlzNjCwktKkxatTPP1Dv9mZOVGQEAx+fznxWYc1WrWMn2nAooVlwaNm0mDxk3NMsWKFTezC9770CNSuVp1s9+0+XqtuvVl8PAH5Z7h/8v16wIAAABAYedmcdZkBUCeW7ZsmZyIjJHEDHfbrHbApdJZEP3cM6RMaLB06dKFHQkAQCHXrFkz2bhxozRt2lQ2bNiQ38MBgByhfA8AAAAAAAB5jtn3AFdD8iI4jgAAuGTaQ1InYNFLRkZGkdmT1t6Z+jMmJkaKCnd3d9P6QS/augFAwcK7FnARehJ1d3O7pGbcQGZ6HLl7evLHGQCg0NPg05kzZ+T06dPmZ1JSkhRFcXFxtp9//PGHFEW+vr4SHh4uJUuWND81UAXAtRGUAlyEnjQ1KKVt3jSgwDc9uFR6/OhxpMcTf4wBAAornZ13586dcvToUXPes6SliyU1zfwUS4aISZIqOu1zq4SVEp/kdCkbVkrSY85J0eF2vimNm7skJCbL4bh4OXLkiJk1unz58lKnTh3x8fHJ70ECyAZBKcBFeHt7i4fb+etJiQlSrHhgfg8JBZQeP0qPJz2uAAAobE6ePCmbN2+WlKRksSQmiyUlVSQjQzw8PCQoMEi8/y3n8nAvOi10SwaFSPLZOPOzcplyUlSkZ2SYbLmU1FSJPRsr6fGJWtMnbt5ecvjQIXOsNG7cWEqXLp3fQwXgBEEpwEWEhITI0WPHzLc6UZERBKVwyfT40ePIy9PdHFcAABQmJ06cMLPLpSeliCUuUbw8PKR8+QpSMixMQkNKmB5DRVFoULDERESan/Vr15GiSHuIRUZHyemICDl6/LikRsdJcrF0Wb9+vZmdsEyZMvk9RACZFM3/sQEXpLXvWm7l4+EuURER+T0cFGB6/OhxpMeTHlcAABQWsbGx/wakksVyLl5Kh4dLp7btpF6t2hIeGlZkA1I4T3//ehzo8aDHhR4fepzo8aLHzdmzZ9lVgIshUwpwEcWKFRM/Pz/xSU6TmOgoSUlJofQKuabHjR4/gT4e5njS4woAgMJA+0Zt27ZNMrRv1LkEKV+2nDSqW89kBxdW2rT92LFjOe6xZf25b9++HD2nXLlypjl4YaR9pJo1bCRb/t4hR48fkwwPD3P8tG3btlAfM0BBQ1AKcCFa6x4XnyDnktJk/57dUrteg/weEgoYPW7EYhE/Lw96JwAAChXtDRQdHS0Z8YlSLCBAGtapW+iDC0uXLpV33303V8/Rxu+PPPJIjpYdPny4XH/99VJY6fGhx0lMbIzExSdKVFSUOY4o4wNcB/mtgAupUaOG+Hh7SaCvpxw/esRcgJyyHjN6/Pj6eJvjCQCAwkKDCWZmvdQ0qVOjZpEo1WvUsKFUq1btqqy7evXqZv2FnR4ntavXNMeNHj+nTp3K7yEBsFP4/ycHCliace3ataWYj6e57NqxTQ7s22OaNgLZ0eNDjxM9XqzHjh5HTH8MAChMzpw5I5bUVDPDnvYNKgrKV6ggr7zyitxzzz3i6elptv1y6PN1PUOGDJGXX37ZrL8o0Cb4uu2W1DQ5ffp0fg8HgB3K9wAXU6VKFUlISJD9+/eLJqQf2LtHTh0/LqXLlZMSoWFSPDCo0KeqI2d9Nc6djTUz7Z08dkwSExOkuI+nBPl5SdWqVaVy5crsRgBAoaENqrVXkiUlrcjNsKfb2rdvX2nVqpVMnz5ddu3adcnrqlmjpox6eJSULVtWihLdh3rcnI6NNseRHk+BgYH5PSwAWmZr0U82AFzO7t27Zc+ePZKSli5nk9IkOS1DMiwW8fL2luLFA8XTy0u8PL3ErQj9UVbUWTIyJDUtVdJSU+XcubOSmpJyfsZGT3dTsuft6WFK9mrVqpXfQwUA4Io6ePCgbN26VTKizkq9mrWkSsVKRXIP60e3+fPny8cffyzp6enmkpOAjGZHabZVr169iuyXmwcOH5Id/+wW9xKB0rBhQ77AA1wEmVKAi9LAgjZh1FlCvKKizB8hKWkZkpSWIYlno02AKoOQcpHj7qYXN/F1d5PgAG/x9nQ3f1yGhoZK/fr1+dYPAFBoZ5cVbWdgsYi/n58UVXrOv+GGG6R58+byxhtvyPbt2y/6nLp168qoUaOkVKlSUpSZ40bzMTIskpqamt/DAfAvglKAC9O04nbt2plyPu2joDXwERERkpaWlt9DQz7TbzzDwsKkZMmSEh4eLv7+/vk9JAAArhoTRPj3yzjNFC/qdMbm5557ThYvXizvv/+++dvQPmvK2jtq2LBhct111xXZ7Ch7tuNGv+jVICcAl0BQCigANOBQqVIlc9GMKf3DQ/840wsVuEWH/kHppWWbXl7mD03+wAQAFBXmC7l/u47oOfByTXp1mkx+7WXbbZ0cpEqFijJ4wK0yeviIXPWs+nHRAjl+6pQ8MPgeyUv6d0D37t2ladOm8uYbb8jmLVtsjzVo0EBGjhxpvsC6FF4VSsmL4ybK6PtHyNWiv4NX350hMbsPSF6wHTf//i0NwDUQlAIKcGACAACgqLlSX8r4+frJ4q++NdeTkpLkt1V/ylNTp5hZbZ94cGSO1/PjL4tk49bNeR6UstKM6WcnTZJly5bJl19+Kbfffrt07tzZ5b+8GnLbIOnZpVuevZ6r7w+gqCIoBQAAAKDIcXd3k9ZNm9tud2rbXrbv2infL5yfq6CUK9CAS9euXaVLly75GnxJTEwUvxz2/Cpfpqy5ACjamLYLAAAAAESkWLFikmpX2pWcnCzjX3hOqrVuJgHVKkiDzu3ly+/n2h4f8shImf3tV2ZWNy1504vet3LtGnN938GDtmX73HOHuW/H7l22++54cLj0Hjwox69ntXrDX3LtwH4SVLOyhNatLnc+dL+cjjhjC0gdPHLYvNbn330rI8ePlfD6NaVCswbyxORncly6lpaeJmOemyRlGtWVkNpVzXadi4uzPb5i9Z/mNRYs/VUGDh8qJepUk1sfGGYem/3t19Kx341Ssn4t89pdb+kr6zZtzFK+F1yrSpb1Lfl9hdkefU3dDy/PfItjEyjEyJQCAAAAUCRZAzSJpnxvpXy/YJ6MeWiU7fHbHrhX/vxrnYx/5FGpU72mLFy2RAaPelBCgoOlR+euMm7UaImIipTde/fIJ2/OMM8JLxEm5cuUEV8fX/lj7WqpVrmyKQnU9Zy/b43Uq1XbLKvXHxoyLMevZw1IdRvQT3p27ipfzHhP4hMSZOK0F6Tf0MGy8scFDts34aWpcuN13eXLGbPM8zQQVK1yFRl+5+CL7pu3P/pAmjRoIB++9oYcOHxYxr0wRZKTk+TzGe85LPfAk4/J7f1ulm9nfWQarKtDR4/IHf1vkWqVKktKaqrM+fF76XJLH9m4eLnUrFrtgq/74NjHZVD/W8z6tDRy7POTpUHtutK9c5eLjhlAwUNQCgAAAECRo8EcvyrlHO4bcONNttI9DVL9/OsvsuCzr+Tajp3Mfd2u6SgnT5+SZ195yQSJNOAUViJUDvsecSgFVC0aNzFBp7sH3iZbd/5tXk+v/7Fmldx/192y98ABOX7qpLRv1TrHr6fGTX1OmjVsJN/M+siWGVW/dh1p3K2jCWLZ92lq2aSpTJ/0vG1d2jfruwU/5ygo5ePjLXPf/8QWaPLz9ZXhT4yWp0c/LrWr17Atd8O13WXqU087PHf8w4/armtArluHjrJ+8yb59Os5MmXMuAu+bt9eN8iE0Y+b613aXyMLl/0qcxf8TFAKKKQo3wMAAABQ5Gij89XzfjGX3777WV59dor8smK5CbyoX3//TUoEh0jndu1NRpX10vWajrJ5x3ZJT0+/4Po7tGotK9euNtc1Y0oDST06dTGBKut9/n5+0rxh4xy/XkJigqxav076X3+juW1dRrOPKpQtJ+u3bHYYgwai7NWpUVOOnThhu23/Opm35/pu19kCUkpfU2d9/mvzJoflenXN2qx8555/5OZhd0u5JvXEp1IZE/zbvW+v7Dmw/yK/FZFr7casQbfa1R3HDKBwIVMKAAAAQJFsdN680fmAkGrXoqWkpaXLE5MnysP33i8RUVESFROdJZvK6sTpUxds1H1N6zby/BuvmYCK9pjSIFX7lq3l5JnTJjijwalWTZvZZlTOyeu5iZsJHj327ARzyezI8WMOt4MDgxxue3t7SVJysq3vVI22LWyPVSpfQfauXm+7XTI0zOG5gcWLm/JDzdyyVzIs3OG29p3qNWighIWGyrQJz0rFchXE18fHBPuSkpPkYoIyj9nLS2LOnr3o8wAUTASlAAAAAMBkEp0vS/v7n90mayk8NFR++uQLp/smc9Ams9bNmpuAk2ZErVx3voyvREiI1K1ZS35fs0pWrlstd/QfYFs+J6+XmpZqsoe071Xv7j2zLBNWokSOf49lS5U2WWJWPt7eDo+fjoxwuH323DkTVCpdspTD/Zln+1uzYb0cPXFcfvj4M2lUt57d88+KlCmT4/EBKBoISgEAAACAiG1mPA3udG1/jZn5TbOLGtb5L7iSmX32kb0A/wBpUr+BzPp8tkRGR0u7Fq3M/de0bmtm1NPm4Zo9ZZWT1/P29jbBrl1798ikJ8Ze1u9M12WfKZbZ/CWL5eUJk2wlfHPn/2wCUBd6jkpMSjy//n8zwNSq9X/JwSNHTEAOAOwRlAIAAABQ5GRkWGTNxvPlaqkpqbJh2xZTbqeBkw6t2pgspxu6XSc33HGbPPrAg9KwTl3TrFyzqPYePCDvTXvNPFebfn/81Zcy54fvpHqVqiagVblCRfOYrueVd96WJg0amvK38/e1lpmffGjWb98cXfs/5eT1Xhg3Ua67tb/c/sC9MqB3XwkJDpKjJ07Ikj9WyN0DbpWObdpdkf2TnJwi/YcNlvvvuscE0J6aOtn0ldK+VBeiJYnFAgJk5Pgx8sSIkXLs5Akz61+50mRJAciKoBQAAACAIkczejrcdL257unpKRXKlpXb+94sTz/yqK3P01fvfiAvzXhT3v30Yzl07KgEFS8u9WrVlsEDbrOtZ8itg8zMcg9PGCeR0VFy580D5cPX3rD1ldKgVIeW/2VEaaBKaeNzPz8/hzHl5PXaNm8hv839yQR6hj02SlJSUqV8mTLSuV0HqVa5yhXbPw/eM1TOREbK4JEPSkpqitzUo5e8MXnqRZ9XKrykzJn5vjw55RnpN3Sw1KhaVWa8ME2mzXjrio0NQOHhZtEpFAAAAADARW3ZskUO7dsvGbFxJhOoeLFi+T0kFDDagH3F6j/FPaiYVKpWVRo1apTfQwKgk06wFwAAAAAAAJDXCEoBAAAAAAAgzxGUAgAAAAAAQJ4jKAUAAAAAAIA8R1AKAAAAAAAAeY6gFAAAAIBCa8gjI6Vx12vyexiFls5o51WhlKzfsvmqrP/rn36Qrrf0lfD6NaV80/ry4NgnJC4+/qq8FoC8R1AKAAAAAHBJmtRvKH/8OF/q1KhxVfbgE5OfkTbNmsvX734g4x9+TD6b+7U8PnniVXktAHnPMx9eEwAAAADwr/T0dMnIyBAvL68Ct08CixeX1k2bX7X1/7VoiYSHhpnrndt1kJ17dsuPixZetdcDkLfIlAIAAABQJMrMmvfoKkE1K0ubG7rLhq1bzP0D7hsi1/S9Icvy73z6sRSrXlGioqPNbS1Re+ntN2TMc5OkTKO6ElK7qikNPBcX5/C8mNhYeeipJ6VCswYSUK2CtOx1rfy64jeHZbQc7aa7B8mn33wl9Tq2Nctt+XuHee7wJ0ZLpeaNzGtXadlEBo24z+G5x06ckLsffkjKNaknxatXkvqd2skbH7xne3z2t19Lx343Ssn6tUzJm77Wuk0bHdYx6dVpElyrimzb+bdZNrBGZVPiuPi35Q7LVW/TXEaOHyszPv5QqrVuJqF1q0v/oYPlTGTEBcv39PbLM98yr6PjLN2wjgwdPUriExzL7lauW2t+J7qtTa7tJEt+XyHNuncx+9XKGpCyOnjksAQHBTn5DQMoiMiUAgAAAFConTxzRh6eME6eGPE/CQoMlHEvPCe33HuP7F65VobedofccNdtsnvfXqlVrbrtOR9/9aX06d5TSoSE2O57+6MPpEmDBvLha2/IgcOHZdwLUyQ5OUk+n3E+KJSSkiI9bh8gpyPOyKTHx0q50mXk8++/ld53D5J1C36VBnXq2talQbFDR47IxEefkJCgYKlQtqw8NmmC/PLbMnluzHipXL6CnDh9Shb9tsz2nMjoKOnQ53pzfdITY6VqxUqy58AB2X/ooG2ZQ0ePyB39b5FqlSpLSmqqzPnxe+lySx/ZuHi51KxazbZcalqa3DVyhDw0ZJiMGzlaps18UwYMHyL71myQ0JAStuXm/fqL7D2wX96YMlUioqLMGB9++inbNmdHA1ntWraSD199U/45sM8E80qFh8nzY582j584dUpuuPNWU/735Yz3JPbcOXnoqSfMz0Z16ztdpwbfFi5bKnPf/ziHv3kAro6gFAAAAIBCLSomWpZ+873Uq1Xb3A7w95duA/rJ2k0b5dqOnaRiufImCDX1qfMBk+27dsqGrZtlypNPOazHx8db5r7/iXh4eJjbfr6+JrPp6dGPS+3qNeSL7+fKlr+3y4ZflkndmrXMMtd16myCOs+/8Zp8OXOW3ZhiZPW8X6RC2XK2+9Zv3iS33tRP7rploO2+gTf1tV2f/t47cjoyQrYvXymVK1S0lbTZG//wo7brWhLYrUNHs95Pv54jU8aMsz2mAbTnx46Xnl26mds1q1WTGm1byKLly2RQv5tty1ksFvn+w0/Fx8fHFvR64a3Xzbrd3bMvvCldsqTMfnOmud69cxfZtG2bfDd/ni0o9fr774qnp6f89MnnUrxYMXOfblPn/r2dru/beT/JY89OkBeemiA3Xtcj29cFULBQvgcAAACgUCtbqrQtIKXq1Khpfh47cdwEVu659XbTQDstLc3crwGqSuUrSJf2jgGf67tdZwtIqf7X32iCNn9t3mRuL/n9N6lfu47JSNJ1WS8mMLTl/DJWDWrXdQhIqcYNGpqSvlffmWECY5kt+/MP6dy2vS0g5czOPf/IzcPuNmVzPpXKiF+VciYLbM+B/Q7L6XZ3bf/frIS6Tj9fP7NP7HVo3cYWkLLuu9TUVDkd8V8JnzO6zfbq1qwpR0+esN3W/dGpTTtbQEq1b9lKSgT/l5lm79FnnpYBN94ko+8fccHXBVCwEJQCAAAAUKgFBwY63Pb28jY/k5KTzc+7B94mZyIjZeGyJSbg8sX335pspcyZQCUz9TfSJt++Pr5y8vQpczsiOko2b99mAkH2F82SOnLcMdhTKjw8yzhfn/S8DOp/s7w2a6bpsVS1VVPT28pK+1uVKVUq2+3U/la9Bg2UQ8eOyrQJz8ryuT+ZbKyGdetJUnKSw7Ka5eXt7e24X7y9bPvkv33n2L/J+99m7JnXl1nm52kT92S7dZ88fVrCQkOzPK9kmOM+VnHx8XL81Enp0uG/IBqAwoHyPQAAAABFWvkyZaV7p84mQyotPd30Tho84NYsy2npnL2z586Z4EzpkucDRSWCgk3fqPemvXbR13Rzy3qf9rt69Zkp5qJNyN/8cJb8b9yTUr9WbWnfqrXpb6W9mLKzZsN6OXriuPzw8WfSqG49u3GeFSlTRlyJlvdFREZmud9ZBpZmo2m/rxJBzrOoABRcZEoBAAAAKPK04fmCZUvk1XdnmLI9Ld/LbP6SxZKenm67PXf+z+Lm5ibNGzU2tzWT58DhQ6ZcUO/LfMkNDW69MnGyub5z7z/mp5bbLV+1Ug4fO+r0OYlJiQ7ZTGrV+r/k4JEjLvf7bd6oidkW+9kLV65dY/p/ZaYlftt/+1P69OyVx6MEcLWRKQUAAACgyOvV9VoJLxFqso0+e+sdp/sjOTlF+g8bLPffdY+Zfe+pqZNNXylrj6o7+w+QWZ/Nlm4D+sojwx8wvaViYmNl847tkpKaYmbVu5Br+t4gfbr3Mv2vtHfV7LlfmxK79i1bm8dH3TtcPpv7jXS5uY88NeoRM/ve/sOHZM/+/aZJe6umzaRYQICMHD9GnhgxUo6dPCGTXp1mZgF0NaOGDZd3Pv1Ieg8eJI/eP0Jizp6VKa+9LGElQsXd3TGNTJur12rfSma9PF3uvHlAvo0ZwJVHUAoAAABAkaczwV1/7XUyd97P0qeH84ycB+8ZanpPDR75oAky3dSjl7wxeartcW0I/utXc00g6IU3X5cTp09JWEgJaVy/gdx/190X3cdtm7c0gaiDRw6bflbaNP2HD2fbgl6hISVkxfc/y7gXnpOxz02WhMREqVyhggz/d92lwkvKnJnvy5NTnpF+QwdLjapVZcYL02TajLdc7vervbHmffqlPDxxnAy8f5hUq1RZXn12iox6eqwEFQ/MUr6nGWo64x+AwsXNou9wAAAAAHBRW7ZskUP79ktGbJx0zDRj25WiAY9a7VuajKnX7QJNVl4VSsmL4yYy+9tVpDME1u/UzmREaaP5K0nLBFes/lPcg4pJpWpVpVGjRld0/QAuDZlSAAAAAIqslJQU2fL3DvluwTwzQ96Iu4fm95CKjHEvTJEGteuaHlxahvjiW69LmZKlpF+vG/J7aADyCEEpAAAAAEXW8VMnpe2NPSQ8NNRkSOksb8gbKSmp8tTUKXIq4oz4+fpKx9Zt5YXxE01fLABFA+V7AAAAAFza9u3bZf+evZIRc07atWglIcHB+T0kFDDRMTHy519rxT24uFStUV3q16+f30MCICLu7AUAAAAArszLy0vk3wnZUtNS83s4KIBsx43bv8cTAJdAUAoAAABAAQhKnf/okpScnN/DQQFkO27c3AlKAS6EoBQAAAAAlxYUFCRu7m4inh4SERWV38NBAWSOG09PcxwFU/4JuAyCUgAAAABcWkhIiHhqQMHLUyIiI8ViseT3kFCA6PGix42bl4c5jghKAa6DoBQAAAAAl+bu7i5hYWHi5u0pKakpEhMbm99DQgGix4seN3r86HGkxxMA18C7EQAAAIDLK1mypCm/Eg932bVvT34PBwXIzr17zHGjx0+pUqXyezgA7BCUAgAAAODyypcvLwEBAeIe4CeRUVGy/9DB/B4SCgA9TqKio8xxo8dPuXLl8ntIAOwQlAIAAADg8jw8PKR+/fri5u0lbn4+8vc/u2XPgf30l0K2faT0+NDjRI8XPW70+NHjCIDrcLPQJRAAAABAAbF79275559/JCM+USyJyRJYrLhUq1xFwkNDxdvbO7+Hh3yWkpIiZyIjZd/BA3I27pwJSGmWVM2aNaVWrVr5PTwAmRCUAgAAAFCgaFBKg1OW1DTJiE8SSUsz9wcHBklIcLAJTnl7eZmG1m5ubvk9XFwlml+RkZEhKampJhgVHRMjMWf/bYLv6SnuAb5mxkYNRmlQCoDrISgFAAAAoMCJjo6WrVu3ytmzZ8WSniGW1FSxpKafD1BlaMRC/0GR4OZ+vjGNp6e4eXmIm5eXuHm4S1BQkDRo0EBCQkLye4QAskFQCgAAAECBzZSJjIyUM2fOyOnTp02AKvPjRUVMdLT4+vpKUlKSBBehIEzmTLjAwEAzU2N4eLiEhoaSKQe4OIJSAAAAAAoFDcjEx8dLamqquaSnp0tho4E2DcLt379f9u3bZ37qZdWqVaaETUsX27ZtK1WrVjWXatWqmZ8apCmMpYzauNzLy8tcdHY9DcwBKDgISgEAAACAi9Hg2p49e0zvLPuL9tM6d+5crtdXvHhxW28l/Wm96G1/f/+rsg0AcDEEpQAAAAAgH2iT7sOHDzsNPB05ciTXGUOaJaXZUrnNEKtQoYJDkMp6vWLFiqZZPABcLQSlAAAAAOAqiomJcQg4Wa9rJpSWHOaUlt9VqlTJIdPJeilXrpx5XMv7jh07liXQpZdDhw7lqs+WlsLVqFEjS2aV/gwODr7EvQEA/yEoBQAAAACXSXtYHThwwGkwSJuw54YGfJwFnqpXr35ZPZMSExNNHypnY9TAWW5oM3FnY6xSpYrp7wQAOUFQCgAAAABy0WTcWVBHm42npaXleD96enqaJuTOAjthYWF52pTcfrvsM7n0okGs3G6XNlZ3tl2Ftdk6gEtHUAoAAAAA7GhJXXZNxnObUVSqVCmn5W8FJaMocwaYfdDq1KlTl5QBlrnZupYIMmseUDQRlAIAAABQ5Gh20NGjR50GWy6l95I10GIfcNHrhbn3kgboMmdW6W29XG6vLOt+LF++PNlVQCFGUAoAAABAoXXu3DmnZWl6OyEhIVfr0tnoMmf56EVnr2OWOsdZBXX2QGdljrmdVdDf39/pPtf7ihcvnqt1AXA9BKUAAAAAFGjp6ely8OBBp0GQEydO5GpdGuhw1g9JS8w0QILLo4FAZ6WRetEAYm6UKVPG6e+qcuXK4uHhwa8KKAAISgEAAAAoECIjI50GM7QZd0pKSo7XowEL7enkLKChPaBoxp33tFzy5MmTWTLa9KI9rTTwmFPe3t5mpkJn/atCQ0Ov6nYAyB2CUgAAAABcRnJysgkyOev1pEGp3NBZ7JyVfemsdxq4QMGgAcfsjomIiIhcrUuDUs56V+kx4ePjc9W2AYBzBKUAAAAA5HlWjJbVOev1pFkx2pMopzS4pKV1mYMMeilRosRV3Q7kv6ioqCy9wvSnlgjmJntOe4I5y57T40nLBMmeA64OglIAAAAAror4+Hin/YM0cJDb/kHlypVz2vBaZ22jfxAy03I/nUXRWbnn8ePHc91nzNmxp8HQgIAAdj5wGQhKAQAAALhkmtV0+PBhpx/+jx49mqt16Qf87GZaK1asGL8lXBFxcXFOe1fpfRpIzQ2dedHZMaszNTIjI3BxBKUAAAAAXFRMTIzTD/GaCZWUlJTjPahlUDo7mrMm42XLlqVMCvlaVnrs2DGnASud3VEfzylfX19bWWnmoFVwcPBV3Q6gICEoBQAAAMBITU2V/fv3O+31dPr06VztpZCQEKcZTzormn5gBwoSDbzu3bvX6XsjOjo6V+sqWbKk0/dG1apVxcvL66ptA+CKCEoBAAAARYhme2iAyVk2iAak0tLScrwu/QCts5Y5azKuM9/RHBpF4f2kMwA6a7auQazcvJ88PT1NYMpZFmF4eDjvJxRKBKUAAACAQprZkV2TcS3Fy43SpUs7LUPS2cr0gzSArDQgpbNJOnsPnjx5Mle7TEv+smu2TuYhCjKCUgAAAEABbjKuPXCcfejVmcdy0wPHz8/P1gMnc1lRUFDQVd0OoKiJjY11mq2ogeTExMQcr0ezEXUGSmfZiuXLlye7Ci6PoBQAAADg4s6dO5elNMh6PSEhIVfr0lnBnJUH6QdYZgsD8j/QrLNWOpvNUme5zA1/f/8s2VXW28WLF79q2wDkBkEpAAAAwEVKfXSGL2fZEydOnMjVugIDA50GnrTJuH5QBVDwaABaM6mc/R9x9uzZXK2rTJkyTv+P0KwrSnKRlwhKAQAAAHkoMjLSaRbEvn37JCUlJcfr8fDwcGiKbJ8RUapUKcp2gCJCy3RPnTrltNm6Tl6Qnp6e43V5e3s7TF5gfwkNDb2q24GiiaAUAAAAcJVpU+N+/fqZD4oalMoNnXXLWeBJA1L6ARIAsqOBbg1MOes7d+bMmVztOA1K6f89c+fONZMfAFcCQSkABUqzZs1k2rRp0qVLF3FV+k1V3bp1Td1/QEBAfg8HAOACkpOTTdmc9otxxsfHx5TWOctOCAkJyfPxAij8oqKism22nl3WpmZoahkhAXFcKQSlABeis+do00HtA3EhmzdvlilTpsgff/xhZueoUKGC3HrrrfLYY4+ZmXMKi/79+0v79u3lkUceEVcWFhYmv/76qzRp0iTPAnPjx4+Xvn375snrAQCuDJ3ZTs/bzgJP2nxcP+wBQH7Tcj/9ctVZmbEG1zWQBVwpBKUAF/HJJ5/I008/LZs2bbpgvfbPP/8st99+uzzzzDMydOhQCQ4Oli1btsjYsWNlzpw5Fw1o5WWz1sttklilShV5//33pWvXruKqdLpt/WY7Li7OfMt9taWmpkqxYsXk77//NvX+AICCQzMPyC4AUJDx/xiuNPcrvkYAubZt2zZ58MEHZfbs2RcMSOn0sHfccYe8/fbb8uijj5qAlGrUqJEsWLDAFpBasWKFtGnTxtzW3hPff/+9bR0vv/yy3HjjjTJy5EjTBFWzfD799FPb46tXr5YOHTpIiRIlJCgoSLp37257TANm1113nXmOfqP7wQcf2B7T12jYsKHJ4ClbtqwMGDBAypUrZ4Jo9lq1amUCTeqrr76Spk2bmtfRfhlPPvmk7dsZ3Q86A9FNN91kgjA//fSTeQ1rNtK4ceNMJpW9GTNmmMwqa8PHmTNnSr169cz69X79dudCU22PHj3aBMK0TEIDfxposnrppZdMEEgz2XS73nnnHbOv9NttfS0drz4WHR0to0aNsmV36W2dXvu9996TOnXqmHK+hx9+2GTFaaaT/o50m+yn+H3zzTdN+Z/1taZPn27uP378uFleA1P6O9f9ogHJi23r/PnzTXaVPqa/Vw1mAgDyHgEpAAUd/4/hirMAyFfJycmWBg0aWJ555pmLLjt69GhLw4YNL7jMH3/8YQkPD7f88ssvloyMDMuSJUss/v7+lmPHjpnHb7/9dktYWJhl0aJFlvT0dMv7779vKVeunHksKSnJUqJECdtz4+PjzfrUhg0bLCEhIZavvvrKkpaWZlm3bp0lMDDQsnv3bvP4008/bfHy8rK8++67Zpt0XT169LBMnTrVNrY5c+ZY6tevb56vvvvuO8uePXvMa61fv95SvHhx2+utXLnSNi4rfY0hQ4bY1lWrVi3bY2fPnrWUKlXKsmbNGnP7iSeesDRr1syMLzU11TJ27FhL+/btne4zfbxdu3aWu+66yxIVFWWJjY21dOvWzTJ+/HjzuG5z8+bNLcePHze3Dx06ZNm5c6e5PmXKFMugQYMc1tehQwfLp59+aq4vXbrU4ubmZhkzZowlISHBsnbtWov+19uzZ0/Ljh07zH7Scem2WX3++eeWI0eOmP2ivycPDw9zW3322WdmrPYutK36PP196/5VMTExtn0EAAAAAPnp8mprAFxWY0HNWnnuuedM9ouW7l2MZkNpptSFaLaRlvZpRpPS0jfNiNI+VJrBpNlO+lrWDCjNyLGKiIiQs2fPSlJSkmnEqjXj1swjze7RTCLNgFItWrSQ5s2by/r16002lq73nnvukfvuu8+2Ps2c2rFjhy3V96mnnjJZXtaeGfY9kTSTR8eimUVK15e5R5PeZx23rnvv3r2mcayWzWkmU6dOnUwmljZnfP3112XXrl1SuXJls/wDDzwgr7zyitN9ppliuu2aYWYd21133WUy15Suz83NTeLj481tzRKzH5NmpVlp1pJmL1nHro9rNtjUqVPNbc1wUhMmTLDt+9q1aztM1atZWla6vZqZpvulfPnyWfbLxbZVywu1lFLHrmPTbCndRwAAAACQ3yjfA/JBbGysKcv68MMPTWmWlrNpidfFnDhxwiEgkpmWm61atUpuvvlmh/t16mkNgGlzVW1M2Lt3b4fSwfr165vrOiYtydNAWZkyZWTEiBEmSKUBkZUrV5rAj5YMWi9r1qyxlQxqsGTgwIEOr6sBGGtQSkvrtPdSjx49zG1dp5a4WWcV0vWtW7fOFqjR9TVu3NhhffYBGQ2EeXl5mTI1LWvTYNcLL7xgK1fTQIw+3zrWBg0amH3gjJYGaqmgluBZl9dySutsRw899JAJPGnQS7dJ+3/Zj8l+nPv27TMBOA00WR/Xckmr7du3myBT69atHe7T8Skt49PyOi0V1HFoEEkDmNoc19nrXWxb27VrZ4KQug3aEF97j2n5HwAAAADkN4JSQD7QQIMGQDT48MQTT9gCGBejmTCa+ZIdzfZR1l5TSmeF00wizUTaunWreW1rRo3asGGDQ+aNZgitXbvWZEAtW7ZMPv/8cxMU0QwiDabFxMTYLpp9c8MNN8iZM2dMYEgzp+xpNpNm8OjzNVNI+1lZaQBLgym//fabeVxfSwNcVatWNY9rZpf9uPQ1NChnzTTS8WgPJQ16adaR7kvrdmkQbvDgwQ5j1Ys+3xldftasWQ7LajBOe15Zf1+ajXTkyBHTM0szwnTbdZkDBw44jFODRhoUsjZ5t2ZK2e9v+9uakaa/F+s6rr32WhOQ0gCdjuOjjz4yvah8fX3N4/ZZWDndVs1w09dYvHixCYAuWbIk22MIAAAAAPIKQSkgn2gz7Ouvv97W3DsnNNtFM6s0qKABHb1oBpPerzQTRjOcNJNHy8G0EfewYcNMhpNmFWmgxz4gkjlIogELazBDA1AadNEMnEqVKpnMmzfeeMNk2ejr6uxvGriyBl40kJJ55j9rWdq9995rglfWbCC1ceNGk31UunRpc12DYRps0TI5dfr0aYd16WtoppU297YPen399demmbo2PrfS0sKFCxeaQIw1g2zRokVme5zR5XWfnTp1yhYAszZo1ywmfa5mmem2aINyze7ShuW6nGa46f6wH6c1aKTP0Uwu+32u22p/W4N2ug7NhNJm65rJphlZmqW1fPly05Deurzue2t5Y062NSEhwQS1NOhnDVrqNtiXbAIAAABAfiEoBeSTxx9/XObNm2fLqMkJDTBpryB9rmZaaQBKg1qaBWXNHtIgzVtvvWWyezQYpCVtd999t9OsHQ1yaPmeBlG0j9Q333xjSvl01jfta6SZTRo40jH+8MMPMmfOHPO6JUuWNGPRfk7O1mulz9MAiAZJJk+e7PCYjksDc1rKpoE2DTDZr0Oze3T8GoTS4JqzHlOaNaXj0l5V9tlhWp6owRz9qc/XUj8NuGkgyZlnn33WBPQ0aKaBtbZt25oAntIMMN3HOk7d35rRZQ1Y6Ux9t9xyiwnI6eMa8LEfpwaKdH9pWWR2mVK6vG6HBqZ0v+tYevXqZfp/6WyDGgCzLq+BRS157NKli9kuHduFtlWDUR9//LEZpx4Petzo71CDjAAAAACQ39y023l+DwIAAAAAAABFC5lSAAAAAAAAyHMEpQAAAAAAAJDnCEoBAAAAAAAgzxGUAgAAAAAAQJ4jKAUAOfDqq6/KkCFDbLfPnDkj3bt3lxIlSkiPHj3YhwAAAACQSwSlgELu2LFjcvbs2QsuM3nyZPHy8pJixYpJQECANG7cWP744w8pqn7++Wdp1KiRw32jR4+WDz/80HZ70qRJUqlSJYmMjJRFixZd8mvp78bd3V2io6Mva8wAAAAAUNAQlAIKsU8++UTatGkjqampF1xuw4YN8vDDD0tcXJzExsZKq1atHLKCioqMjAxz2bhxozRs2PCCy2ogauDAgeLm5nZZr7lp0yYpV66chISEXNZ6AAAAAKCgISgFFFLbtm2TBx98UGbPni2hoaEXXFaDMM2bNzfXPT095ZprrpHTp087LLNs2TJp3769CZ7UrFlT5s2bZ3vstddeMyVs+nr6WuXLl5elS5fKTz/9JA0aNDAZWPqYvXfeeUdq1aolgYGB0q5dO9mxY4e5f9asWdKsWTOHZRcsWCDVqlWTlJQUc/ubb76Rpk2bSlBQkMnqWrNmTbbbtmXLFunatauEh4eb17rppptM4M1Kt+eVV14x6/H395ehQ4eaLCh9DR23Bp6sy+m6jh8/brLJ9u7da9ZVtmxZ8/j48eOlevXq5jlVq1aVOXPmOIzjs88+k3r16pnXqFChgnzxxRfy1VdfybXXXisnT540z7Oua/78+WYf6PZpeaCOCQDgOvQLDD0n6hcTxYsXl0OHDjlkwOp5UB/T88KAAQPMdWeX6dOn2563Z88eue2228w5wsfHx5y39FzwwAMP5NNWAigqOnXqZPt/6bnnnrPdv2vXLtv9H3/8se1+/dv75ptvljJlyoi3t7eEhYVJz549ZeHChfm0BSjQLAAKneTkZEuDBg0szzzzzEWXPXPmjEX/K9i7d6+5vWvXLkujRo0s9913n22ZefPmWcLCwixLliyxpKenm9tBQUGW6Oho8/idd97p8PiIESMs5cuXt4waNcpy7tw5y/bt2y1ubm6Wffv2meVffPFFS8OGDS27d+82yz/77LNmvGrNmjUWPz8/c79KS0uz1K9f3/LVV1+Z2zNnzrRUqVLFsn79erOM3q5QoYIlIyPD6fb9+eefZp0pKSmWkydPWpo0aWKZPHmyeUzHo9vep08f81hSUpK5v3r16pZff/3Vtg5dzsfHx5KammobY6lSpRxe58MPP7ScPn3ajGnWrFkWX19f2/ITJ0601KtXz7Ju3TrzuO7rLVu2mMeGDRtmGTdunG09R44cMftSt0/FxMSY1wMAuBY9h+n5Ss8j3bt3t91/7733mvv0vPf7779bBg8ebG7rpVWrVg6XOXPmmOfExsaac5kuo+ts3LixOdd5enpaAgIC8nErARQFHTt2tP0/pX/jR0ZGmvt37txpu/+jjz4y9+lPDw8Pc5+3t7elbt26Fn9/f9tykyZNyuetQUFDUAooRKwnkAkTJljatWtnC+xcyC+//GL+cNYTkAZS9GTy5JNP2gIquo5KlSpZZs+e7fC8qlWrmoCP0qDRm2++aXvsnXfesdSpU8f2+vpTT1r//POPGWPx4sUt27Ztsy1/6NAh87pxcXHm4u7ubguSvf/++5bWrVvbAjT63D/++MP2XF23/tF+7NixHO0j3bbRo0eb699++60lNDTUcvbsWdvjel33R0REhO0+Xa5Zs2a22zNmzLD06NEj29dITEw026Pr0u3QE/WOHTucLqvr1fVbrVy50hIcHGxZsWJFtoE2AIBrePXVV20fxD7++GPL8uXLzTlEb+sXM8o+KJWdhQsX2pbZv3+/7X4NVn3zzTd5si0Aii77oJRennjiCadBKf172/p5Qb/EPXz4sFkuKirK/L1uXdb65SqQE5TvAYWElqRpbyJtxq3lAO+//75poH0x2k+qW7duEhMTY9Zx3333ydq1a00Zn9q6daspS3jooYckODjYdjlx4oQpWUhKSjKpvTfeeKNtndu3b5frr7/e9vpakqDr0xK8VatWmbKG+vXr25aPiIgwZW1+fn6mNE6X03K+hIQEmThxoimvU8uXLzd9r2644QbbOLS8Tdet5W/Oyiu0tFBL/TStWJfXWfTq1q1r6+fUq1cvsx1WmzdvNvvRvuRRl2vSpIlDuaP9bR2rlvlVrlzZlNyVLFnSbKOuV5umazmk9TXtpaWlmX2lpYNWWsr49NNPm/2tJRxjx469aE8wAED+GDVqlPl/2zohhpZb65e+Wrb3/PPP53g9er6ymjFjhjkP6/lVy861RAYA8oL+36V/v7755pumZUVm2t5C/2+ytq7Qv1WtbS6mTp3q0LYCyCmCUkAhocEQDaToH8RPPPGE1K5dO0fP0wCLNSiiNeETJkyQFStWyD///GPu09nltEeSBq3sLxow0n5R2rtKX1tnorMPdGkgyD6oo43DNUilAajMTb3nzp1reitZg1i6rAZ6NICkjdrbtm1rG0vnzp2zjCUxMdH84Z7ZCy+8IN9//73p33Tq1Clz0cCUdWw6rhYtWjg8R4NS9gEn63L299nf1iCZBp00uKUBPA3sPfPMM7bX0DFn18R8586dpm+I7l97+sFG17V48WITXFyyZMkFfoMAgPyi562PPvrIfKkSFRUl+/fvt92nX7Zklrmn1MGDB839em6znrdffvllad26tTm3ak/EX375Jc+3C0DRpJ8l9O9Q/dtae6xmtnv3btt1+y9VM9+2Xw64GIJSQCH7xlYzlJ588skcP0eDUo0aNbLd1iwhDbh899135rZmNGkw59tvvzXf5GqzcQ06aXaUs4BNenq6aQhuH5TS17De1iCQBn50meTkZNOI/b333pPJkyfblteglGZFacaXBpastBn7X3/9ZYJm+k20flPzxx9/yNGjR7PdNs1Q0sbsmtk1aNAgEzSyZmnp2O3HqTI3eM+8jZq1pNlN1tv6geLcuXPSsWNH8wFEA2zPPvusbb3apFaDSn///be5rR9YdH3W19KglLWBuwb69IOMfrBRGsDT/eksywoA4Bpq1Kjh8OFtxIgRpgm6Mzq7rf1FzwFKg1rr1q0z69Hzh4eHhzk36CQj2jxYz4kAkBceffRRU2HwwQcfmIl9spN5BuqcVGgAzpyvzwFQKDz++OPmklMaoDlw4ECWbzo0sPXDDz/ImDFjpFSpUmYmuXHjxsk999xj/oDWoNHMmTOdBnY0WKUnJQ0EWeky1lnsdAY6LcfTcr/o6GgTaNJvgTXrykqDZFq29/DDD5tSPvv7X3/9dbn33ntNSrEGgfT5n376abb746677jLfNmtwSDOadHu9vLxsmVOZt/3WW281ATgtI9Tt1VI6XU63WWlwSTPKrOPS7RkyZIgZv2ZEDRs2zMyiZ90nffr0MUG46667zmR1aVmflmYozQLTbdJvpXR9Ouuezmyi2630W3Pd9/ZZaAAA12OdwVZlnkHW3oVmi9WSGT3n6EW/7NBMXz0P6RdCP/74o8mmAlBw6Reb+t7WgLNe1y8eXYW1JE+/MNYs/+HDh5tZ+PSzgJV+WarBKivN6LevVLD//6106dK2TFBXoJ9N9O9/vWjLD19f3/weEuy4aWMp+zsAAAAA5Nxvv/1mCxppxuvdd99te0yvf/LJJ+Z6dn92away9ly87bbbbB/6zpw5Y/q16IdELa3XLFwABYt+IamZ8XrR6/b/B2S40MfwcU+Nkx07tkvNWrXkpZdekrTUVLn//vtNIMpq5KhR0rhRI7lv+HDzeJkyZWTKlCkSGhYmCfHx5v8oa9neK6+8KtWq//fFcn5zz5TVpV8ChIeHmz6w+uUwWV75i0wpAAAAOKUTMug3+nrhe8zsaX9BKy3F1kxkK2uJduaMKtW/f39T7qcZBSNHjjSXKlWqmA9MWjajASnNztW+i/brhGP2g+4jPlTClcTHx5u+qxpcTs+wSEp6hiSlZkhKWoaki0U0HuVK/6cGlq0sZVPdJKhMOTkeez5rqu9d98r8efNsy6R4BkiSZ4AMHfm4zJs3z4z/mZffNJMORcfESJrFW8rWbGBaWviF/7ceVwpM6cXLw03ikqMlOibWtNXQ/2+14sF+kiPkLYJSAAAAsNHyEi2R1ot9sAXZ0w+fVjpRyO+//267rSXg9hlR9rTcW/sc6n7WWfZ0Pbq8znqr5fL62C233GLK3e3Xiaz0g7Fmbug+pTQH+enYsWOmdUNyapqcTUqTxNTzZXr+AcWkZKlQ8fH1EU9PL9M7LnNfpvwSFLpIfM5ESmCJMKnb4Hyv2Vr1Gsj2v3fJyZMnze3ylauax/TSonU7WbRokezdu0fOxcVJYEioCajrjN6N/m154Uq0VDItLVVSU1IlNibKBPljLBbx9nSX5LR0k6mqMw/WqVMnv4daJFG+BwAAANm3b58cPnzYBEj0m/2k1HRJTs8w1/X7fBf6Uh8w9PO8u7iJh7ub+Hq5i4+nu8mE0ACVfkDWABWQ1wEp7aUal5QqMUlp4uPjK5WqVpPQsHDx9fPjl+EiNPs3KjJCjhzcL2djY6WYj6cE+3mZHq9MMJT3yJQCAAAo4jRDR0vI4lPSJDElwwSjtDQjMChIAnz9TImUmxszK8G1ZGSkm942WioVGR9nAlI+Xu6SlHrGzGSr5acVK1bM72GiiNCAvjUgFZ2YKmXLV5AateuajCi4Fj2nlSpdRkqWKi1HDh2Qvbt32b6cCQ4OJqCdxwhKAbgs2iRQZ41r2bKl0xIQ/Y9dZ/HQnzqrnM5QpzPrXWl9+/aV3r17m5mKCiItk9FZ9nSfUXYAID8CUtEJqSYoFRwSIhVLlZHwUqXFhxmKUEDEx8fJ6ZMn5PTJkxIRd85kPWzZssU8RmAKefV/aUpausmQ0oBUrbr1XaY8D87p76di5ari7u4h/+zcYbItd+zYYRqge3oSKskr7GmgkKcQa/M+++laM5s8ebJMmjTJ9K7QaacrV64sr776qvTo0SNH69eAU7169Zw+rn8M6sxBGpBS06dPlyvh0UcfNd9+vv7667b7dOrsgv6HTK1atQhIAchT27dvtwWkElLTTa+Q0mXL8VtAgRMQUEyqVKthLpr1cPjgftvfIvrBU/8eAa4WzczTmepiE9PE19fPZEgRkCo4ylesJJFnTktMVKT4eCbKkSNHTAkw8gZ52EAhpdNPt2nTxtRMX4g2XR09erRJOdYsne7du8uQIUNy9Br6h54GsQICArJ9vFGj880Sr6SNGzdKw3xsoqgBsavxwfBq7CsAyE5iYqIcOHBAYhLPB6Tq1G9IQAqFQvVatU32gzm2U9Jl165dLjXTGQqf06dPn+/Fl5ZuekhRslfwVKtZS9Izzs+QqL9P5B2CUkAhpFk3Dz74oMyePfui05tqgKd169bmup5AW7VqZaagVtOmTTOz/tjTBoBLly61BZ1q1KghDz30kISFhZn0+G+//da2rM48Yg206MxBOl1zTEyMbRYMzXTS9fn7+zusd9myZdK2bVvTqPT/7d0HeBRVF8bxQwu9916lI9JBehEVUZqKomD7sFAElSYqggVUVFSaBSsWUBAVFBQQEFGkWSgqCEjvvQfIfM97cdbdsAkBwgbw/3uelezu7OzMnZkb5+Tcc/XQkDw/uKb1zZw5002bnSFDBhs2bJgbv6/lfMreuuuuu9zQQm2Xptv2P6+/Ymk/33nnHTerkQJqmpI7vkBTixYtrFu3btasWTP3nRquqCm+n3rqKStZsqTLBNN7/uwkMnbsWKtcubJlzpzZbUfv3r1D1vnZZ5+5tlMW2z333BMI4KntlbWmfQq+cVTbar8BILFs2rTJYjzP3bQXLlqMgBQuusBUtuw53JDUw4cPu/8PAc4VBTGOHItxP+fImYuGvgBlyJjJDVk/fCzG3S/oXgWRQVAKuMgoWHLLLbdYz549rX79+vEuqw5X6al+UGrFihUuENW2bVv3XIGRSpUqBZbX9Kn6q7r/mgIpP/30kzVt2tS2bdtmjz32mAsgKePKf98PSmldSoP1h/IpaDR+/HgX4FGBUg2/89NkFSB67bXX3PbNnz/fpk2b5oI88tVXX7kx3go8KbtLAbHg7dT+N27c2NWu0pAUTc2tbRw6dGhgO5ROrcykuXPn2qpVq2zWrFnxBnz0mW+++cYGDRpke/fudQGo9u3b25w5c9znFIxS8Ett7ouKirKPP/7YBeE0Ze7IkSPt+++/DwSktN3vv/++e1/j1seMGePaSgGpyy67zBYsWBBY1/PPP+/2r0GDBqdxJgDAqWvZ6SZKgancDNnDRUhDUXWOHzse48534FzQHxT1/8jKksqYKZNFpU5NQ1+gNEui+70YE+OGZCIyCEoBFwm/43z66add9o0CRKeiLCkFaMqUKeOCKq1bt3YFw4cMGRJ4PzgopeBMgQIFAllJyoTq0aOHKzCu9fzvf/9zQSEFevTXheAhacGBIwWBJk2a5LKqSpcu7T6r4XjFihVz7yvIVaFCBZdZpQyq2rVrB/7CqfXoM8HFwIPXrWGLCggpkKMsKG2rMp0UgPKX1XfpfWU95c6dO95sMgW/FLh766233L5om2bPnm1Tp051QSdNN61t6dixowt++dSOJUqUcPtWpUoVN72s9kHDBx544AFXX0tZaVqfnwnmt5Ve17BKP5NBNb6ee+65BJ4JAHBqysBUn6Rhe+kzZHT1eICLTfacudzv2UPHYtzvU4bw4VzQHywl+phnWbPloJEvYFmzZbejx2PcUEx/dAfOPQqdAxcB/XUmf/78Nnz4cBfsUHBE/xN2Kgp8XHPNNTZx4sST3lP2kjKnlLUTLvhz8OBB976fVSXqvBWUUubPn3/+6YbJKagU+7PKitKwQC0Xm1LslZGkLCr9VVN/qVBGlII+/nqCt8l/7b777nM/f/3113b99deHvK+Mq+BAmoJoPu2Hpn/VUD61h59dpmCSMq20bhVHVX0u3xdffOG2Kbhoqv5HV8E90Y2eiscrq0vp3HpP/8OiwNRvv/3m/sdYQSvfli1bXHAsT548gaCUHxh89NFH7dZbb3VF0AEgsSi7VX3TkaMxVrjQib4HuBinfdcQvn27trv/v9DvYg2rBxKT/t9XlHWqjHdcuPwsNx3LU9XlReIhUwq4COh/sJTtoyFxvXr1cplEZ1swXNOhap158+YNvKZhaH5ASFlQChj5gRT55JNPrFq1au4zGrqndfszjwQHpZR9pOF14ahW1LJly1wmlZZTcVIFt1SfyQ8qBWdv6aZK3+W/pgBU8Lr1C0VBN382QW2HMpd8+qxqPmk/9LqCTX7Rd+2/ltc+BdN2KRNNQTj/ocCgn42lQJ2GIGponzLYVCNL2WvKBNONoAJkwQUw/aF7PgWlVBds3rx5bqjf448/Hu9xBIAzGW6i/+nWI2NGbtJx8cqQKZMdizlR5NyvmQkkJv2/pvdPf5oyVSoa9wIPZAtBqcgiKAVcJFSIW1lPsQtqnyoopWFy4SjgpCF4GuIhb775phuyFlxPSrWd3nvvPbesAjAKnmhYXOwi51qHMqf8zyr4o2yptWvXul/iCoDpfX+bFIDSrH6qB6UAj4bI+YGm2LNhKFtL2+lnEimgo+CYMr207G233eZqVSk7SllRWqcf4BJlRwU/j01BqdjvK0il71B9LVFQSvvjDwvQPiizSoEu/dyhQwe37wrQaTu1Xcq20v/EqBj9q6++GhKU0rC/jBkzun3v06ePG1oJAIn9l/1/7tMtZSoS53HxSpUyVeBcJ/MB54L+P9Q/x5IH/dHxbP26cL7dc0sbq1expFUomN3qlC9uN1zZwPr1uN92bt/mlvl9yW82dPBA91i/do0lFX1/6dwZ3SNS29Goajn3fe1bXZ1o60yR4sTvQ/0vPYXOI4egFHCRUJFtZRcpUJQQftHyuDKlqlev7mo7aUiahrQp8KLaSX6mlIJSGjKnIuQKGHXv3t3Vc6pXr17gfT/QoiFrCqz4WVeaGbBRo0YuuKMMonbt2gX+R1GBrREjRrjsL+2Tti84KKTPqhi76kGp+LlfI8rPPOrbt6/LRFLtKwXclO2kAJCGM/rboaGOwUGp4MyrhASlNJtfkyZNXK0rbYf2UwE7PyvsmWeecUFCfZeGUwbvg4b8KXB35513usCbhhtqWF9wUMoPrvmZYwCQ2JTNqb8ES0J/b5xPdCMy7auTh54H63P/Pdb5tpvsvyQh7fJfkyJlSvdHIz3im2kXSAz+/wuerR+/m2ntrr3CZk37xrZu3mRHo6Nt+7attviXhfbx6Ldt+7Z/g1LDnx/kHhvWrU2U7wYiLZlHxT8AOK8o80yBMgXYgmt2AUBi0R8OVqxabdv2R1v1y+u4qbDPFwomfTb2w5Ner9OwiY0aM8H9vG3rFsucOYur/6G/yjepVt4mTJ9jZcpfGrKefXv22PB3x9iF6qc5s+221s1s3vJ1linzidlr4xPcLmdqxjeT7c0RL9uy3361mJjjVqJUGWt3R0drfdOtgWXCtfn+/fusU/u2tmP7Vntz7Odu5rvzwaYN692Ne/7MadwfgAoXLpzUm4SLjGqTLl6y1DbtPWzlL6tsuXKffZ2+jje3ttnfTrWMmTLb6x+Ot3KXXmY7d2x35/KXE8ZZl54PW5FiJezTMe9b324n6qq+++lXVqN2XUuqTCkFxmTa/CVWoNDZX2fKVNJDExjFlSm1cd1aq3Z5HRs9YbIlhkMHD9qPs2dajvRRVrxIoXhHUyDxXHh/GgOAi9wLL7xgWbJkISAF4D+rbqMrbODLI0NeC74xyZkrdxJs1YmbJGVCJGQykUgPx1T7nG27jB71qg16rLf9r8sD1v/ZlyxVVCqbPuVL69+ru634Y5n17j8w7Oc0lKhjuzaWPFlye//zr90MVgDO3Lo1J0pE5Myd2y6rWt31Owr06tGw6Ynhahq2Nv+H7wOfUQDb98eWfbbu79X2/FP97PfFv9mO7dss+shhNyNlzbr1rVvvxyxv/gIhWZbSsm07q1S1hr014hWXoVWqXHl7/NkhIQF/BaWf6POgzfthtmXOktVuufPu8Ptwht9ftsJl9t7rI2zj+rU2fups992TP//UXn72Sdu4fp2VLlvB+j71LKfXReT8+o0KAP9hCxYscMMWVa/q/fffT+rNAYAk4wdYgh+6+Qk3TE0ZO9Kqce2w9UWU9VO3QgmrUbqQu5EKrisUfeSIPdu/r6vZUqlIbrvxqoYuO8mnLIRqlxSwb6d8adfUrWqXFszubopi02f03bNnTHPbUbFwTrut9TW2Y9s2+276N9asThWrUjyfPXTvne4v8cGZsa+9/Lw1rlrefaZFw1o2ZeJngRs//yazesmCbv3K/hLt4xMPP2QDH+1tNcsUtv+1bXlSu8jmjRvswXvusBqlCrn9a9O0nqtTE1dG0XP9+1qHuzvZg4/0txKlSlvhosXtzvvut579nrK3Rw4N+1l97pYWV1rGjJnsnU8nEZACEkHuPPncv6tWLLfm9arZcwMecf3Qvr17EryOjRvW29cTP7O1f6+yA/v3ub5PfYIyUTu0aub6v9imT/7SHu/ZzdasXmmHDh20XxbMs8633xzoN/Xv/25q6fq1w4cO2ZZNG+3Fp/u7IYWJ8f3K1Bz4aC9bv/Zv1z/6/euD99xuf6/8y33mt58X2J03trDdO3eeVpvi/EVQCgDOE1WrVnW1vjTrnmpPAQBO7ZMpM92/b38y0WYv/suGvvVB4D3dzOiv9e9++qU988prNmHMBzZhzL9B/ycffsjddL342tv2+cwf7crrWlrHm1vZ36v+Cixz+NBBe2PYEHvyxWE28bt5lj1Hzji3ZdjggfbYoOfto0nT3M1X97s72Luvj7DnR75lr33wic2ZNd3ef/PVwPKvv/yCff7JR9Z/8Es2adY8u+2eztar8/9s3g/fuyyCV946sa2Tf1jk9u2Rp54LfFY3dspk+nDiVPf52A4c2G/tW15tWzdvtBHvjbHPZvxg/+vcPXCjF5tuHnXTeGenbie917bDnZYufQY3bCjY6r9WuLo3JUqWdkOM0qfPEGfbAEi4dkHZRyuX/+kylzrddpPVLl/cnurb02VHashacEaphu8pQ0oPKVSkqL32wTjXd/y2bofNX7HeOvd4OJCJpcBSbAp6PfnCULdsq5tuca9piNzinxe4n7/45CMXHJJmLdrYT3+utfc/n2IH9p34zmBn8v17du2yTg/1cUOWNQywYOEiNvS5p1xNOGWLvfTGe7bgrw3W7o7/2cED+zmlLhIM3wMAAMB5ZebUKVa5aGhdlru7PWT3du950rJZs5+YoTRLtmwnDV/LlCWLPTboBTcZRrFLSln9K660ubNn2Y3t73AZT8qE+nbR75Y7z4mJOO7q1M2+/3aaffrR+y5bSBSo0fCV0uXCz1YbrHuffla5ei33c5t27V0GwdSffrOCRYq6165s3tIFyjp2fdD9xV9ZUm998oVVqnZicgstt+inH23se2+5Wl+Zs2RzrysQFrumVJFixV0GU1wmjf/Y1aD55OuZliXrifUo8ykuCsSpfk24ejjKXNPNYXCwTnp3vdsqV6tpL40aHZhwBMDZu7J5Cxvx3lh7dchglxnkU7+hwLb6uy7/BHjioqFyv4x+22VZKfPyyOHDIe+vXrnipM9UuKyK3XDr7e7nq69r7QL5snH9eqtc3WzRvLmBZTv36OMyWKvWrG1XXHOdC7Cf7fcXu6Sk3d/rEfez+jwNmfYzNLVtV13Xyv3cpUdfF/BXAXhc+AhKAQAA4LxSo3Y9e/y5ISGvBQ/fS6hLSpUOCZbkzJXHlv++1P2sf3XDc3Wt0BlYo6OPBII4kioqykqVPTFE8FRKlS0XckOWNm26QEDKf23xzwvdz2tWr3LDY+66sUXIOo4ejbYy5UNnZA1HhY/j88fSxVamwqUh+5LYGl3ZzKZPnmRTv/wicLMIIPGuLz22bN5k8+bMdlmeP3w3w72noXynCkoNHvCojR4VWpsv2OFYQSIpXOzfwHVU6jQh/aJs3bI58FruvCeGGEqufwL7Z/v9pcqE9rW7duwIDB3M/c8s3pImbVrLkiWrm9wBFz6CUgAAADivpE2XLt6snoRKmTJVyHMN/4jxTgxfO3jggAtYjZv63UlZPhqq5kuTJm2Cp3lPmerf79Nngp8Hvv+f4XP+0JNXPxgXcrMlUVGnnj0vbbr08b6fOs2/N5QJoZm8NHRHN8B+5phPQ4U0DFLBwmDKXFPArsd9d7rhNVe3aH1a3wkgPM1mmSHDieLfuh6vbXOjNWvZxi4vW9T27N5lu3fvcu/F1zdNmXhitlJlkGoIc9ESJV0W6n3tb4zzMylT/RseCLfu4ExK1ZPyZ25VUfTE+P7UaUP7razZs1uqVKlcYGrLpn+/Q1lXfhvgwkdNKQAAAFywlMkkyno6Hcoi0mc0c5wCYMGPSMzuV7xUaYtKndo2bVh30vf7s1KpZtSZ7JsoWPTHksW2e1fCigE3bd7C3fy9PfKVk94b8+6bdvDgAbum1fUnvdfpwd5uKE3PTnfZV5+NP+3tBHAyBW4efaCzG26sYLGCMNMmT7K9e3a794uVKOn+zRw0rPevP393weHY2U3JU6Sw9BkyuiDSqGGhGainq3L1moGfhz//jAuQLZg7x2VLxpYY368/GFSsUs39vPiXhTbliwm2f99eGzr4aYbuXUTIlAIAAMB5RZk5sYdlpEyRIlA/KpjqLWkoh2pB5cmb31KnSe1qI51K0eKX2LVt2lrvLvdY7wFPW9nyFV0Nph9nz3QBnQZXXGXnkrIgNLPdoH59XPZUlRq1bN/eva5mS4aMGa1V21ssf4FCLltB2QX1Gze11GnTJriY+DWtbnA1q7rcfrOrj6Whi8uW/OYyHfwaVsHyFShoPR570s1GmDp1Gmtxw00u02v6lC9tyMABdsd9XQM3h7Hd+0BPS54iuQtMaV+at77hrNsH+C+LPnzYxn34nnvEljx5ctd3SJkKFS1lypR27NgxN3GDHgocaQKEhk2vdhMiKBhU/7JSbvlCRYqd1XZdd8PNbuIHFTv/6vPx7iGqcaXAdbDE+v6uvR6129tc4wJu3Tt2CGSCani0hkDjwkemFAAAAM4rs7+danUrlAh5tLuuadhldUOmWenGjn7L6lW8xM1QlVCauarFjTfbs48/YlfXruymPl/yyyLLmz8yM6B26/OYdXqgt73+ygt2TZ2q1vGmVjZr2tdWoFDhQM2Wrr0esRefetzNuqUbzoRScfI3x35u2XLktLvbXW/XNahpbwx9Md6C5Jr9b9jbH9rCn36w65vWt2vr17BJn37iCr337j8w3u+7+/6H7IG+j1vvLh1t4viPT6MVAMTWrU8/u/n2/7kJFrJlz+H6ucxZs1qdhk3cdX15/YZuOWVVDnj+FRfs0TLB+j75rOvf9DnV5NMED488/e8MnmdC2ZSjxnxmdRtd4QJDOXPncX1Uu9s7nrRsYn1/jdp17YVX33b1rpQZW65iJRs1ZoJlzXHyHylwYUrmBef4AQAA4KL366+/2opVq23b/mg3y5tfFwS42GzasN5+X/Kb5c+cxipWrGiFC58I+AGJZeXKlbZ4yVLbtPewlb+sctgZLHFhOHTwoMuWzZE+yooXKWSVK1dO6k36TyBTCgAAAAAAABFHUAoAAAAAAAARR1AKAAAAAAAAEUdQCgAAAAAAABFHUAoAAAAAAAARR1AKAAAACbZr5w67vGxRW792zXnfao2qlrN3Xxue1JtxXimdO6NN+2riOf2On+bMdt+zd8/uRFvnrh3b3Xm3eeOGRFsncD75deF863HfXdawchmrUDC7O99vuqaxvTXyFTt44MBpX396fDrm/XO6zUBiICgFAACABHv1pcHW+KprrEChwrQarH2rq23go71DWqJStRo2e/FfljFT5kRroazZc1iLG2+2oc89TavjovPay8+7ANSkTz+2TRvW29HoaNu5Y7v9smCePdf/EVuzemVSbyJwzhCUAgAAQIIcOnjQxn842tq060CLIU5RUVGWM1duS5YsWaK2Uuub2tvETz+23bt20vq4aEz96gsbMnCAeZ5nadOms6eHDLf5K9bbolWb7Z1xk6x+k6Z2vjp+/LhFR0cn9WbgAkdQCgAAAAkya/o3LuBwWdXqJw0V+fG7mdamaT27rEgu9xf/VX8tD/nsR++MsiuqX2oVCmSzqy6vZJ9/8lGc3/P9zOl2aaEcJw3/evqRXnZb62sCz7+e9Lk1r1fNDXXRUD0Nc4mLhhtqO39f8lvgNa1fr2kfgvdl9oxp1qpxbatYOKf7vh3bttl307+xZnWqWJXi+eyhe+90ATpfTEyMy3RoXLW8+0yLhrVsysTP4m3L6CNH7PknH7MGlUq77W9ao6KN++DdwPvzfvjebriygXuvboUS9sKT/ezYsWMhGUpP9e1pg5941GqUKmR1yhe3oYMHhnzH36v+sltbXOna8pq6VW3OrG9POcxO7aPXgodnLpr3o/s+HdvqJQvaXW1b2p7du6zP/ffY/B++t/feGBEYLqTPhVvvqY6VXlMWXt9u91nlYnndEKax770VsswlpctYrtx5z/nwQyCShj//TODn3gMGuqC/sgzTpU9vNevWt9c+GG8ly5Rz7/+2aIHd1/5Gq1mmsOtL1eeoX4wrUHvs6FF7adATrg/Rtdu9Ywc3BDvYtq1bbEDvB9w1qHXWKlvEHrznjpOys/xrXNf9e2+MtCbVKrjlVy7/I9Df9O5yt9W99BL3er2KJe2xh7ra9q1bT+qH9Xjl2afs1SGDXR+oflX9Suxh4QcO7LeXn3nS9V/qW6uWyO/6xVnTvg4ss3/fXteXXlnrMte/aD/vvfUGW/rbL2d1XBA5KSP4XQAAALiALZz7g5WrWCnsey8NGmC9+w+0bNlzWP9e3eyR7p3so0nTApkAAx/tZQ8/+azVqtfAZk6d4oIPufPmt5p16p20rlp1G1imTJntm0mf2/W33Bb4i/zkz8db94f7uedLfv3ZHujYwbr07GtXt2htP8//yZ7o86BlyZrNWt9061nt57DBA+2xQc9bmrTp7IGOt1n3uztYVFRqe37kW3bwwH7rckc7e//NV61j1wfd8q+//IJ9MX6M9R/8khUpWtzmz51jvTr/z7VF9cvrhP0O3bz9snCePfL0c1a6bAV3M+bfLG7ZtNHuadfGWt10iz077DVbtWK5Pdajq0WlSWNde/YNrOOzjz+02+/tYmMnf+uG+Tx8/71WuXpNq12/kQuUdb3jFsuRM5d9PHmG7du7xwY91ue020JBqtuvv9ba3NzeHnnqOUuRIqX9NOc7izl+3D3/e+VfdknpsnZ/70fd8trnDevWhqwjocfq7VeHWrfej9k93XvY1xM/czfK1S6vY8VKlAwsc2mlKrbgpx8C5wVwIVNA6I+li93P6TNkjDMLNUWKFDb726nWqUNbO3r0aOD1DevW2OhRI232jKnuOs+UOUvI5xTQ2bF9W+D5lC8muGv4hVdPBHy3bN5kN17VwPU5vl07dthXn42zOTOn25ivplvR4peErHPGN5Pts7Efhrz257Kldst1TV2AyLd18yb75P13XDB83JSZli1HzpDPjB71quuXfPq+np3uCvzeUEDqlmubBtpHjhw+bIt/WWi//bzQ6je50i3T7tqmtvz3pYFlNPRRv2N++G6Gvf3JF1alxuVxtj/OD2RKAQAAIEE2rl9ruXLnCfte94cfdwGYEqVKu2CNAg+6gZC3RrxiLdveYu3u6OhucO64t6tdcc119vbIl+O8AWvW8nqb9Okngdd+nD3T9u7dY02bt3DP33l1mNWs28A6PdjbrVPBjVvuvNveGhF+naeje59+Vrl6LStboaK1adfeZQP1f3aIe161Zm27snnLQHaVMp6UJfX0kBFWt2ETK1ikqNuW69q0PSnTx7d65Qqb/MWn7jNXNLvOfUbBumYt27j3P3z7DcuTP789NugFK3ZJKWvS7Frr2vMRe3vkUBds8pUqW8669HjYihQrYS1vbGflK1a2ud/NdO/phmz1X8vtmWGvW+lyFaxarTr2QN/HT7stRg17ycpXrGSPPzvErUfZSrfedY+r8aRsjlRRUW7IkYbr6aFjF1tCj1X9xle6c6Rw0eLuHMqaLbvN+6edfTnz5LGN69ad9n4A56ONQQHcgoWLWKpUqcIup6F9T/R5yAWkUqdJY2+MmeCG+N12d2f3voLDbw4/ue9TduWHE7+x7xevdMFj+ebLzwP9yNBnn3IBKV3Loz+bbL+t3W6fTvveMmfN6rIhlWUV255du6zTQ31s3vJ1Nm3+Erfdz/Tr4wJS+QoWsgnT57j1aOhhypQp3T6OGv7SSes5fPiQjXhvrP3051q7vF5D95p+b/gBsvdeGxEISNWsU98m/7DIFq7aZG9/MtHKVagYWEYBKfU7w97+0H3vlB9/dn2I+uZB/R4+g6OCSCMoBQAAgAQ5fPiwuyEKRwESX85/Alf+X+iV6aMMnmCVq9W0lctDh/gFu7bNjTbvh9nuL/kycfxY95dxPxNg1Yo/w65zzaqVLqvqbATvS/acuVzQRYGj4Nd2/rNva1avskOHDtpdN7awykXzBB4anrju79Vh1//HksXuJkpZQOFo3zREMrgmk/ZVWVrBs8+VKls+5HM5c+f+t82X/2l58hWw3HnyBt4PHnaZUH8s/c0FlM5GQo9VcLtr33Pk+nd/fGnSpLXDhw6d1fYA54uE1l1TIHvdmhP9SYMrrnIBcAWSlDnqB7I07Di262/p4ALsOXLlCtSmUibR9m1bA0OyRRlL7Vte7Yb6tm5SxwWeZO73s05aZ7FLStr9vR5xfbEmvFDmlfpqUQBKQ5+1ntuvbx4Ycjz3++9OWo8mzGh0ZTPLnCWr+yOFb+P6E0HnWdP/HaL37PA3XEA7ffoMLoDf6KprQpZRP6IMVn3vVbUqBYYeLvllUUj2Fs5PDN8DAABAgihzZc/u3eH/pzLoL/z+jVZwVs/pqlCpigsEaRjJzbf9z6Z9NckGvTLyjNeXPHnyQMZBcL2VhOxL8HP/NX/fFCiSVz8YZ7nz/hsAEg35CyeuwN7pSpkyzHZ5CW/z5MmTnbJNUqdJa5ESdn9inUPK3siaPXvEtgk4l/IWKBj4ed2av10QR9lFse0OqgOVJ1/+wM9p06Vzw2A1DHDXju0nfU4ZQ76o1P/2O8oiknCfCeYHp4KVKhMaDFftuFP9ISDcekK37d++0i+crmGEkiFjppDgejB/mXi/e/dutw6cv8iUAgAAQIKUqXBpoKjt6dBf1hfNmxvy2qL5c614yVLxfu7aNm1t4viPXQ0TBZUaNLkqaJ2lwq5TQ9nCDSFTrSPZtmVz4LXfg2qVnKnipUq7G6pNG9a5m6zgR978BcJ+RkWLFWzRsMBwtG+qERUcLNK+quZM8A1pfIqVLGWbN663rUH7+8vC+XG0yZbAa8GF4P3spbmzTwwJDCdVqqhT3pCe7rGKz4o/lrlhlMDFQENeNSxWDuzfZ+M/fC/sclmy/RuIDa7/pKxBv8i5/miQkD8WBNMwXCla4hL7Y8u+kx6/bz45yyh12tCgujKd/Ou4TsMmYdczbf7iM9i2E/ujTKfgfizcMunSZ7DF63eG3f78BQuF/SzOHwSlAAAAkCB1GjSxv/783WWrnI67OnWzz8Z+4Gbg0wxNKmg99csv7M5O3eL9nIbwLfvtFzcr25XNW4T8Nf2O+7q6YMmIF591Q1smjP3APnjrdbuj0/1h15UmbVqrWKWavTH0RRdY0+x2Lw968qyPfIYMGe3O++63Qf36uG1Y+/cqN+uTivjqeTga8tKybTt75IFObia59Wv+djWqJn/+qXtfdZU2b9hgT/bt4Ya+TZ88yYYOftoVNfczvk5FNVqKFC9hfbre4+qyLJg756T6MIX+CZwNe36gOy4qDqxjE+zu+x+yxb8sckXH/1y6xG2PjqOfYaEbPs0I5gq179geNjvudI9VXDTjodq2doNGp/U54HzWuce/ExA82/8R+3TM+y4Qc/DAAZs7e5bd3a6NCz4VKFTELaMg/Q+zZrhlXnrmiUDhcwWETle9Rle4f1f/tcLN3qm+XdeZPxmB+stTUd+qmnV+sXLV0tu/f597aPt7de7ohl+fruA/QvTpcrfro1TYXH3lt1O+PLH9jZsGMla1vZrpT7UMly3+1V546nEb+Gjv0/5eRB5BKQAAACSIsmbKVrjMJn8x4bRaTIW6+z71nCt4fm296u6mZeDLI61G7brxfk7ZRpdWqmp/Lltizdu0DXmv3KWX2ZA33nPD+66rX8OGPve0de31SLwz7w18aYQbHtOmaT0b9Fhv6/bwY5YYuvV5zDo90Ntef+UFu6ZOVet4Uys3ZbmCT3Hp/+xLrmj7gD4P2tV1qli/h7rawYMH3Hu58+az1z4cb4sXLbQWjS63/r262/U3d7D7HuiV4G1S8Gro2x/akcOH7IarGtijD3YJzFzoUy0azcKlml8tGtayUcOGWLc+ocuojsubYz93ga0brm5gN13TxKZP+dJS/DPE6M5O91vyFMmteb1qVqts0UA9mLM9VuHoexVEU7F54GKhyQ50bSpbSMEVzUxatUR+q1wsj6vL9N30b9x7mhFUQ/sUdLnzxuvcMppEwO8r7+ocf5A/HM2aqf5Ghj8/yGqUKmSViua2m5s3cRMuHPlnmN+pPPzEM26InLI7H+/ZzaoWz+ce2v4vxo0J1JY6He3vvi+QRaaJG1QrqkqxvHZb62a2dPGv7vUOd3dymaeimf7qVChuFQvndHWxFFDbt+/f2f1w/krmBecFAwAA4KL366+/2opVq23b/mg3Y97p1NtQNs3gJx61ibPmJThrB0gMba9uaLf+7z6XQZdQmzasd0MS82dOYxUrVrTCheMOFAJnYuXKlbZ4yVLbtPewlb+scpwzlJ6Khuwqw3LhTz+4Av8ZMma0QkWKueC16uqlS5/eZTBptk/9q+F+ufLktYZNm1mXHn0CQ/GUSaTAjSj47wd/lQmlwJNo1jw/aK56VCNffNZmTvvatm3eZBkyZbL8BQu7Yur6rD/JQ+ncGd2/yvJ85pXXTtp+ZTKNfPE5N1OqJoJQrSt9VoXZW9/c3g1VVEZlk2onalJ17vGwde3Z1/2s7DAF4+TdT78K/MFCmVGjhg5xMwaq5paGCxcrUdJll2m9ooyx11563qZOnmgb1q11E1MoeF2zbn1r3fZWK1UutAZWfJQlpu3PkT7KihcpZJUrVz6jY4nTQ1AKAADgP+ZsglLy7mvD3Y1SXDWTgMSmoYHjPxptd3XunuAZy4SgFC6UoBSSHkGppMHsewAAAP8xwTf1Z5I0f9s9nRN5i4D4KQvkf10eOO1m8s9vnfOnE8wCAEQGOdcAAAD/MapLkvyfG/QzqfUBXCiOHTsaONd13gPnW5Af549AEDupN+Q/hqAUAADAf4wKXBOUwn/BsaNHA0EDnffAuQnyn/j5OEH+C9rx4yf+SKMugyB25BCUAgAA+I9Jly6dpUiezD1279yZ1JsDnDO7d+20VP9EDNKmTUtLI9Ep2KnApwL9yszDhR3EFh3PqKiopN6c/wyCUgAAAP8xuXLlcjPnpU2VwrZu2cSQE1yUjhw+bLt37bK0UcktQ4YM7gEkNj8DT0H+QwcO0sAXsEOHDrl/FWAkszJyCEoBAAD8x+h/tnPkyGFpUyZ3N+57du9K6k0CEt22LZtdxkOalCksX758tDDOiSxZsrggf+qUyW3nju208gVsx/ZtFpUyuQswZsuWLak35z+DoBQAAMB/kG7S/f/53rh+XVJvDpCoYmJibOOG9ZY6xYlznKAUzhXVHlIAQ0GpQ4cO2sEDB2jsC7TI+e6dOyxNyuTuDzcKNiIyCEoBAAD8B+XJk8dSpEhhGVOntM0bN9hff/6R1JsEJFpA6rdFC+zA/n2WMXUKN2wvY8aMtC7OmZw5c7qglDLztm3dTEtfgHbt2G5Hjx51x1HHM3hWRZxbBKUAAAD+g/SX4AoVKliG1CktS9pUtvbvVbbij9/dDT1wodJNpQJSu3busOzpUlm6NFFWsWLFpN4sXORy587t6hCli0pha1attOgjR5J6k3AalCX11/I/XfZw6pQp3B9tEDkpI/hdAAAAOI8UKlTI/fvrr7+6f9etWW2bN6637DlzWa7ceS1bjhyuVgpwvgeidmzbals3b3I1fXSDqYBU+jRRVrNmTWrD4JxTJl7BggXt+Jq1tmX/EVvy289WsXI1l42K85v6i+XLltr+fXstV4Yoy5w5M8N9IyyZp6MAAACA/6y1a9e6wNTR4zF26OhxOxQdY0djYlxAKioqtaVMlcpSpCA4hfPLsWPH7dixoy4rRbc0GnaTJlUKV8A/dVQqAlKIqCNHjtiMGTNs/8HDtuPgUcuUJYuVLneppUufniNxnoqOjrYVfyyzLZs2uozhjGlSWe3atS1r1qxJvWn/KQSlAAAAYNu3b7d169bZ5s2b7dixYy5AdfhYjMXEeKa/YPJnTJxvVPIluXtohr3kljJFckuTJo3lzZvXZQFmypQpqTcR/zG7d++2uXPn2v5Dh23XwWOmwdB58uW3bDlyWtZs2d2waSQtDVHfs2un7di+3TZtWGfHjx1zAan0qVNapUqVLH/+/ByiCCMoBQAAgJD/Yd+6datt2rTJ3WBpaJQe1JrC+eZEJl+Uu9HPkSOHG3KjDAcKFCMpqd9csGCBHTh40PYfOWYHo2PsWEyMOy8zZc4clH1KJZ1IiYk5/s/vsmjbt2ePHT9+3M3KmTbVick+lFmp2nPM0pk0CEoBAAAAAJBIFPRYsWKFrVy50gX0lXl65FiMRR9X9qlZjHlkn0Y4q1Jz6SmrMlWKZJYmVXKL+qfeV4ECBaxMmTIuyxJJg6AUAAAAAADnIDi1Y8cOl32qx4EDB2jjJJY6dWrLlSuX5cyZ0z2UbYmkRVAKAAAAAIAIBKn8IdH6GZEb6qthvnqkTMmwyfMNQSkAAAAAAABEHHP7AgAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAAAAIOIISgEAAAAAACDiCEoBAAAAAAAg4ghKAQAAAKfp+uuvtxdffDHByx8+fNhuvPFGy5Ejh5UpU+aCbe8qVarYt99+m9SbAfznde/e3QYMGPCfbwff+PHjrUmTJnG2x9GjRy1v3rz2119/nbLNtmzZYtmzZ7cDBw7QvhFAUAoAAADx2rBhg+3duzfeZdq2bWv333//Sa/rf+y/+OKLRG3hdevWWbJkyWzVqlVnvI6tW7da165drWjRopYxY0b379133+3WnRC//PKLlS9fPsHfN3z4cNu3b59t3rzZfv/9d7tQLVy40Bo1apSg4NWECRMisk3A+dQXPvnkk65/evDBB0Ne/+6779zrJUuWTJRteemll+zxxx9PlHVdDNq0aWPTpk2Lsw9KlSqVbdq0yUqUKHHKdeXOndt27Nhh6dOnd88feugh69at2znachCUAgAAQJzeffddq1Wrlvsr86mCFVWrVg15TUGjnTt3upuDxKTvypo1qxUrVuyMPr9y5Uq3TYcOHbIZM2a4YNH3339vGTJksN9+++2Un9+/f7/bt9MJSk2ZMsVlV6VMmfK0t/fYsWN2IdG5smTJErv00kuTelOAJOkLlQ2pa8AXExPjgvalSpVK9P4Q574PWrRoEf3ZOURQCgAAAGEtXrzYOnfubKNHj3YZT3HZvXu3C/TEDkrp5kx/cc6fP797/uWXX7obssyZM1u2bNnsrrvuCiyrIWF16tRxwSZlEkyaNCneG4RKlSoFnrdo0cIeeOABa9asmct6qly5sq1fv94GDRpkBQsWdN/13nvvuWU9z7ObbrrJrrjiChs1apQVKVLEva5t1HC8a665xj1fs2aN+8u7tidPnjwhGQm//vqrZcmSxWbNmmWXXHKJC2apncI5fvy4azv9BV83pdq+Xbt2ueCXtkFtUahQIXvttdcCn9Ff93Uz9eijj1q+fPncsL9wfvrpJ5e1pHVqH4MzM1599VV3A5wpUyarXbu2LV26NPBe8+bNrXfv3nbddde599XeP//8c+D9d955x8qWLevey5Url/Xr1y+wXcHtHm65jRs3uue6KaxYsaJrG7WX2n3kyJFWrlw5t8861n/++WeCt0ltpsw2nU9ap84jDbG5/fbbT8pg6NGjh3sdiHRf6PdPd955p/uM74033nD9iK5n9U8+XePK3NE5rSD7mDFjAu917NjRWrduHXj+8ssvu2CXMnh0PSRPntz1vaJroEOHDtauXTt3fen6UR+jPk59lK4p9Yc+7UvPnj1DAt9p0qRx/fiZrC+2P/74w66++mo3XFnL6nfDwYMH3XsK6KtvVXvo8dRTTwU+t2DBAteXjBgxImzfqv5F/aH6AfV7FSpUsL///tu9p/7m888/j7MPGjJkiLVq1cote8stt7jsp2C9evWyW2+9NbD/+p3ir3fmzJmu/9a6hg0b5n5vBGdhqX+rXr266xNxBjwAAAAgliNHjngVKlTw+vfvf8q2mT59upc+fXrv+PHjIa/36tXLa9asmft53bp1Xo4cObwFCxa457t37/bmzp3rfp40aZJ7b9q0aW4dep45c2Zv165dYb/vmmuu8Xr27Bl4XrBgQa9atWre8uXLvYMHD3qVK1f2ihUr5r377rve0aNHveHDh7tl5IsvvvCioqK8zZs3x7k/27dvd8u/8MILrh3Wrl3rno8fP969r/VpHc8//7x36NAh748//vBSpEjhrVixIuz69F3Jkyf39u/f757/+eefXs6cOb3333/f7e/ixYu9jBkzBtrmscce81KlSuW99tpr7vsPHz580jq/+eYbL1u2bN64cePc+zt37vRmzpzp3nv22We9Sy+91H2P1j9gwAB3LH358uXzqlat6i1btsy936FDB++WW25x7+mYFClSxLWlbNmyxVu0aFFgu+68885TLqf9ql279knnQpUqVdw26Zg8/PDDXp06dRK0Tfv27fPKly/v3Xfffd7WrVu96Ohob8qUKW49I0aM8C6//PLAev766y8vS5Ys3vr16+M8vsC56gu3bdvm6Rb777//9jJkyOCeqx/LmzevO7d1bqq/9L311lvunNY5/8Ybb3hp0qRx57Vs2LDB9avqF8aMGeMVKlTI9UWidaiP89WtW9crXry4W1afv/baa73ChQt7gwYNcv3Dl19+6aVMmdLti9SqVcv74IMPAp//9ddfvUyZMnkxMTFntL7YypQp47355pvesWPH3PIzZsxwr69Zs8bLnTu398orr7jPqs9U26jvl9dff931fepb9bnYfevVV1/t+jN9Vts1Z84ct5we2h6/fcL1Qe3bt/eeeOIJ9/MzzzzjXXnllYH3tF06NvrX3//33nvP/ay+ROtWX++78cYbvb59+waea9nLLrvspN+BSBiCUgAAAAjYsWOH+7dfv37uf+oT8j/Zzz33XEiAwdeoUSPv0UcfdT9///337n/6Z82aFbjxEa1fNzujR48O+axuuHTDEY5uYnST5geQdBOowI7vpptu8u65557Ac323gh5y7733ek2aNIl3f3SzccMNN4S8dscddwQCYR07dvTatGkTeE/7o5vJuIJSX331lVe6dOnA83bt2oUE1aRhw4Yu2CXNmzf37r777ji3T99XtGhRb9SoUWGPnwJcwe2hGy21kYJiCh7pZ92E+gYOHBgIAOlmTuv++eefT1q3tmvo0KGnXO6hhx7yunTpEniuwFXq1Km91atXB17TzaMCe3KqbVIwoF69eiHnjW/hwoVeunTp3M2vtG7d2gXPgKToC7/++msXYBcFS7/99luvW7duXvfu3V3AVOd5XMF2BT30/t69e0P6IgXE1OctXbo08LqCNn4fpOtCAaWJEycG3u/Tp09I0EWBFQXGFbzRfuiaUZDM9/bbb7tAzJmsLzatX9f7q6++etL7CgzdddddIa8p0P3000+7nxV4btWqVZx9a4kSJdz1rUB1MAXPsmfPHmcfJAps+/ukPrlAgQKB92699Vavd+/eIfvv96H6jD4bTH+w8NtDfwjRuoKDjTg9DN8DAACAs2fPHjeM7a233nJFdDVUQ0NETkXDrIKHdYmGTmgoRo0aNdxzDSF77LHHrEuXLm5I3cMPP+yW0ZAQDZXT6xoS5z9UkFbDM2LT63r4Q2D03RpKEVzfSbVErr322pDnGubhf17D5eLz9ddfu/pPwbZv3+6GyPlFzlu2bBl4b8WKFa6d4qpxFXu44anWr31S4fi4aCjKtm3b7LbbbjvpvR9++MEKFCgQ0h5ad7p06Sxt2rRu2wsXLhxSH0XDjPzlb7jhBjeERdun4TODBw8Oe5xPtdxll10WeK5hmxoepNf846vjEdye8W2Thsl06tTJFYmOTZ/RH9pVPH727Nn2448/umE4QFL0hRqy7F8jOt/Hjh1rn3zyiRv+q35AfYTOf9GQWl3n6r80RE7D1nTtBvd7Gqaqa0Gf11DZcNeihtxpds+mTZvG2wfqOk2dOrUbNqtrJrjg+tmsLza106effuqGImq2u/bt27shdaJJL/R6cF+vNtL++32BhvDG1bdq+KTaWL9D1AdrmGDs7Q/XB2l/tKy/jIbkaYi3jrOW/eabb6xv376B/Y+OjrbSpUuHXZfo95q2Q55//nn3fkImgEB4BKUAAADg6MZA9VJU60k39v7/lJ+KavvEDiCpsLdufIKn6FbNIwWhdAOgmzzVWVJ9FN1wqDZK8EP1R/xAUjDd2KleiD+Dkm4Ygmu0qHi5AhTBrwXfsOgGUEGw+CiIo1pSPm2j6kddddVVrkaUbsiC16+bEwVH4rppDf5+fV71YILXr5sl3Xw1btzYBZt0Axe7PlcwbY/aO1zR9Njb7k+VrvpV2j5tS+xCy8E30lFRUfbEE0+4adNVH0U3ampPbZcCerqZi285P2gWfIOo7VUALfYx1vr89olvm/T52PvkUxvoWMyfP9+dX9om1X0BkqIvVP/k9w0KVKhWXP/+/V3wRe/557kmS6hXr56rg6c+UcERLRfcr8ybN88FY7UNqkml/jRcn6KfFcDVNRl8/cTVB/oB3xQpUoQEyv3Ay+muLxztlyaRWL58uetvVQ9LgWnNXKh+IrgfUFuobpSKwastgvuC2H1rzZo1XZBbs6QqIObX+ou9PbH7IO2z+hC/vqFqe6ne1bJly1xtLdXD0+8Vf1363eP3rwqUxd5XtYW2XUFw1SIMDsrj9BGUAgAAQIAKvKrYt4pOJ5RuFD7++GP3P/gKJk2fPt3dZOgmS8Vz9drbb7/tZuLzAycKzugv/7r5UVBr3Lhx7qZEf6HWjYj/F/C4bvr8rJnYQSndjOTMmdP9hT72Z/ziwXPmzHHFav3Cu/ouFbXVjY7/V/APPvjAbYtuqFRYVwVyddOmmyxREfG4btjCbbN/U6MbQQWcVHhdbeBnS6i9td3an+LFiwdukMJRmymwpTbTjaqCNroBlGrVqrmbKLXDkSNHXGbB66+/7qapF70XvK26SVRAzC8Or3VqNkIdi82bN7vtUBaTtssvyBzfcsp+07YF0zZNnjw5MLOhbkIVtNR3n2qbRDepyljR57R+BQj9z/rHS8Eo7a8KTANJ1RcG9zUq5q3Auz+hQ3BQSsW5df3Ur1/fZTEqcDxgwIDAZ9UnKRNIAd/hw4e7oLAyivzAu7KdgoNSwdePrsetW7cGAsixt0vXrPo+/av+Q/302awvtvfff9/tn9ata1b9k5ZVkEd96CuvvOL2Qd+voufKcBRd8+oTVcw9XN+q7CsFtPztV5sEZ8z62x+uDwoXRFPgSVlO6s/uueeeOJfVvsemrFMFy1QIXo+EBi0Rh9Mc7gcAAACcVAtFtUBy5crlCvOq4GtwvSMVOVdNINXp0KN69equ9opPNTtUmFuFgVUXRPWVVOA2nJYtW3oPPvhg4LlqNak+iG/YsGGB4uqiYrix6z2pVpXqXem7VOeqXLlyITWeVC9F9UJUmyl//vyuhomKa8tHH33k1ahRI2SbGjRo4IoUh6P6McmSJXMFj32qDaN6M2orFRN++eWXA++pAK+K6J6Kiq6rmLDWoXpZqnHiGzlypCvMrvbUtqnukq9UqVIh7aXi6NpHUX0oFYzX57JmzeqOw/z58wPb1bZt21Mu59dzUaF6bZuKNYsKJKt2mF5TfRzVw/HrQMW3TX79KRW31zp1vPR9fjFo+fjjj10tnuBzCog0Td6gaz2u2nKa3EATFPh1i1T3TteQrlUV71ZfpokY1F/GrrOn/lR9hfohTTKgYuG+q666yhX892miiLJly4Z8t2oxTZ061f2s2nKNGzd2r6l/GDx4sCsu7hctP931xXbzzTcHfhdccskl3ksvvRR4T3WsVNPPv5YrVarkTZgwIdC36ndDXH2r+n31C6qHpaLvqleoPkQ1rPRdv//+e5x9kGoJ+jWjfKrzpX7js88+C3ld+68+1KftypMnj1uXX8tQOnXq5H6fqVA9zk4y/SeugBUAAAAAnM9eeOEFl5GibCwAiATV2KpTp85pZdIhvJMHogMAAADABUDDKVXPxR++CADnmorXa8ijhjHj7BGUAgAAAHDBqV69uqsDpkyp4Do0AHAuqL6UZi1UoXQFpsLNPojTx/A9AAAAAAAARByz7wEAAABh6C/iqlWUWH744QcrUKBAnO9rNqkrr7zSsmXLZlddddUFeUzmz5/v2i0+moHs22+/PeW6NIuWZlH866+/EnELgYuTZvX87LPPzpv+7mJoE0QGQSkAAAAkyIYNG2zv3r2nXG7JkiV24403Ws6cOS1r1qxWs2ZN++qrrxK1lRXYmDBhgp0rmrJ85cqVbgrzxLJ48eJ41/fEE09Y4cKF3RTqU6ZMsQtRtWrVXJ0nX5s2bWzIkCEhy2ia90aNGp1yXalSpbJNmzZZiRIl3POhQ4daixYtzsFWA0nTXz755JNWr169s/6uY8eO2dKlS8+4vzoX/V1SO9s2QeQQlAIAAMApvfvuu1arVi2XvRKfiRMnWt26da1Bgwa2evVq27Jli3Xr1s1atmxps2bNCvuZmJgY90gobYMCX5deeuk5O3LLli2zPHnyWI4cOc7oZigcbXPFihXj/JwCUW3btrVkyZIl2ncmtUWLFiXacUrMdQHnQ3+pAK0C7GdLRbdV36hIkSIR7+8i4Uz6t7NtE0QOQSkAAACcMsOnc+fONnr0aMuePXucy/3999/Wrl0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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# =============================================================================\n", + "# Visualization 8: Decision Flowchart\n", + "# =============================================================================\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "ax.axis('off')\n", + "\n", + "# Define box style\n", + "box_style = dict(boxstyle='round,pad=0.8', facecolor='white', edgecolor='black', linewidth=2)\n", + "decision_style = dict(boxstyle='round,pad=0.8', facecolor=COLORS['signal_2'], \n", + " edgecolor='black', linewidth=2, alpha=0.3)\n", + "action_style = dict(boxstyle='round,pad=0.8', facecolor=COLORS['signal_1'], \n", + " edgecolor='black', linewidth=2, alpha=0.3)\n", + "\n", + "# Title\n", + "ax.text(0.5, 0.95, 'Which Coherence Metric Should I Use?', \n", + " ha='center', va='center', fontsize=14, weight='bold',\n", + " bbox=dict(boxstyle='round,pad=1', facecolor=COLORS['positive'], \n", + " edgecolor='black', linewidth=2, alpha=0.3))\n", + "\n", + "# Question 1: Dense electrodes?\n", + "ax.text(0.5, 0.82, 'Dense electrode array?\\n(volume conduction risk)', \n", + " ha='center', va='center', fontsize=11, bbox=decision_style)\n", + "ax.arrow(0.5, 0.88, 0, -0.03, head_width=0.02, head_length=0.01, fc='black', ec='black')\n", + "\n", + "# Branch: Yes\n", + "ax.text(0.25, 0.72, 'YES', ha='center', va='center', fontsize=10, weight='bold')\n", + "ax.plot([0.5, 0.25], [0.78, 0.75], 'k-', linewidth=2)\n", + "\n", + "ax.text(0.25, 0.68, 'Use Imaginary\\nCoherence', \n", + " ha='center', va='center', fontsize=11, weight='bold', bbox=action_style)\n", + "\n", + "# Branch: No\n", + "ax.text(0.75, 0.72, 'NO', ha='center', va='center', fontsize=10, weight='bold')\n", + "ax.plot([0.5, 0.75], [0.78, 0.75], 'k-', linewidth=2)\n", + "\n", + "# Question 2: Between-brain?\n", + "ax.text(0.75, 0.62, 'Between-brain\\nhyperscanning?', \n", + " ha='center', va='center', fontsize=11, bbox=decision_style)\n", + "ax.arrow(0.75, 0.68, 0, -0.03, head_width=0.02, head_length=0.01, fc='black', ec='black')\n", + "\n", + "# Sub-branch: Yes\n", + "ax.text(0.62, 0.52, 'YES', ha='center', va='center', fontsize=10, weight='bold')\n", + "ax.plot([0.75, 0.62], [0.58, 0.55], 'k-', linewidth=2)\n", + "\n", + "ax.text(0.62, 0.48, 'Either metric OK\\n(no volume conduction)', \n", + " ha='center', va='center', fontsize=10, bbox=action_style)\n", + "\n", + "# Sub-branch: No\n", + "ax.text(0.88, 0.52, 'NO', ha='center', va='center', fontsize=10, weight='bold')\n", + "ax.plot([0.75, 0.88], [0.58, 0.55], 'k-', linewidth=2)\n", + "\n", + "ax.text(0.88, 0.48, 'Standard\\nCoherence', \n", + " ha='center', va='center', fontsize=11, weight='bold', bbox=action_style)\n", + "\n", + "# Bottom recommendations\n", + "ax.text(0.25, 0.55, '✓ Conservative estimates\\n✓ Remove artifacts\\n✓ Publication-ready', \n", + " ha='center', va='top', fontsize=9, style='italic')\n", + "\n", + "ax.text(0.62, 0.35, '✓ Use ImCoh for consistency\\n✓ Or standard for sensitivity', \n", + " ha='center', va='top', fontsize=9, style='italic')\n", + "\n", + "ax.text(0.88, 0.35, '✓ Maximum sensitivity\\n✓ Includes zero-lag', \n", + " ha='center', va='top', fontsize=9, style='italic')\n", + "\n", + "# Best practice box\n", + "ax.text(0.5, 0.15, 'Best Practice: Compute BOTH metrics', \n", + " ha='center', va='center', fontsize=12, weight='bold',\n", + " bbox=dict(boxstyle='round,pad=0.8', facecolor=COLORS['high_sync'], \n", + " edgecolor='black', linewidth=2, alpha=0.4))\n", + "\n", + "ax.text(0.5, 0.08, 'Large difference → volume conduction present\\nSimilar values → mostly true connectivity', \n", + " ha='center', va='center', fontsize=10, style='italic')\n", + "\n", + "plt.xlim(0, 1)\n", + "plt.ylim(0, 1)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "da0cf94d", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 11. Comparison with HyPyP\n", + "\n", + "HyPyP (Hyperscanning Python Pipeline) provides imaginary coherence computation. Let's validate our implementation against theirs." + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "0f6f2cec", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Comparing implementations...\n", + "============================================================\n", + "Our implementation:\n", + " Frequencies: 129 points\n", + " ImCoh at 10 Hz: 0.707\n", + "\n", + "HyPyP implementation:\n", + " Frequency bands: ['alpha', 'beta']\n", + " ImCoh in alpha band: 0.701\n", + " ImCoh in beta band: 0.566\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "✅ Implementation validated:\n", + " - Both implementations show true connectivity in alpha band\n", + " - Our implementation: 0.703 (alpha), 0.198 (beta)\n", + " - HyPyP: 0.701 (alpha), 0.566 (beta)\n", + " - Positive sign indicates Y leads X (as expected from π/4 phase lag)\n", + "\n", + "📊 Understanding the differences:\n", + " The beta band shows different values (ours: 0.20, HyPyP: 0.57)\n", + " This is due to fundamental methodological differences:\n", + "\n", + " Our approach (Welch's method):\n", + " • Computes cross-spectrum with windowing (nperseg=256)\n", + " • Fine frequency resolution → averages many frequency bins\n", + " • Beta band (13-30 Hz) includes frequencies WITH and WITHOUT signal\n", + " • Result: lower value reflects averaging over sparse connectivity\n", + "\n", + " HyPyP approach (Hilbert transform):\n", + " • Filters entire frequency band, then extracts instantaneous phase\n", + " • Captures dominant oscillatory activity in the band\n", + " • Result: higher value reflects the 15 Hz component's true connectivity\n", + "\n", + " Both are valid! They measure different aspects:\n", + " • Welch: 'Average ImCoh across all frequencies in band'\n", + " • HyPyP: 'ImCoh of dominant band-limited activity'\n", + "\n", + " For real EEG with distributed spectral activity, both provide\n", + " complementary information about connectivity patterns.\n" + ] + } + ], + "source": [ + "def compare_with_hypyp_coherence(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: int,\n", + " nperseg: int = 256,\n", + " noverlap: Optional[int] = None\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compare our ImCoh implementation with HyPyP's.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal (n_samples,)\n", + " y : NDArray[np.float64]\n", + " Second signal (n_samples,)\n", + " fs : int\n", + " Sampling frequency in Hz\n", + " nperseg : int, optional\n", + " Length of each segment for Welch's method, by default 256\n", + " noverlap : Optional[int], optional\n", + " Number of points to overlap, by default None (nperseg // 2)\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " Dictionary containing:\n", + " - 'ours_freqs': Our frequency vector\n", + " - 'ours_imcoh': Our imaginary coherence\n", + " - 'hypyp_imcoh': HyPyP imaginary coherence (if available)\n", + " - 'available': Whether HyPyP was available\n", + " \"\"\"\n", + " if noverlap is None:\n", + " noverlap = nperseg // 2\n", + " \n", + " # Our implementation\n", + " freqs_ours, imcoh_ours = compute_imaginary_coherence(x, y, fs, nperseg, noverlap)\n", + " \n", + " result = {\n", + " 'ours_freqs': freqs_ours,\n", + " 'ours_imcoh': imcoh_ours,\n", + " 'available': False\n", + " }\n", + " \n", + " # Try HyPyP\n", + " try:\n", + " from hypyp.analyses import pair_connectivity\n", + " import mne\n", + " \n", + " # HyPyP expects data as list of [n_epochs, n_channels, n_samples]\n", + " # We'll create 1 epoch with 2 channels\n", + " data = [\n", + " np.array([[x]]), # Subject 1: (1 epoch, 1 channel, n_samples)\n", + " np.array([[y]]) # Subject 2: (1 epoch, 1 channel, n_samples)\n", + " ]\n", + " \n", + " # Define frequency bands covering the range we're interested in\n", + " # HyPyP computes connectivity per band, not per fine frequency\n", + " frequencies = {\n", + " 'alpha': [8, 13],\n", + " 'beta': [13, 30]\n", + " }\n", + " \n", + " # Compute imaginary coherence with HyPyP\n", + " hypyp_result = pair_connectivity(\n", + " data, \n", + " sampling_rate=fs, \n", + " frequencies=frequencies, \n", + " mode='imaginary_coh',\n", + " epochs_average=True\n", + " )\n", + " \n", + " # hypyp_result shape: (n_freq_bands, 2*n_channels, 2*n_channels)\n", + " # We want the connectivity between subject 1 (channel 0) and subject 2 (channel 1)\n", + " # In the 2*n_channels space: [subj1_ch0, subj2_ch0]\n", + " result['hypyp_imcoh'] = {\n", + " band: float(hypyp_result[i, 0, 1]) # Between first and second channel\n", + " for i, band in enumerate(frequencies.keys())\n", + " }\n", + " result['hypyp_freqs'] = frequencies\n", + " result['available'] = True\n", + " result['note'] = 'HyPyP validation successful'\n", + " \n", + " except ImportError as e:\n", + " result['note'] = f'HyPyP not installed: {str(e)}'\n", + " result['available'] = False\n", + " except Exception as e:\n", + " import traceback\n", + " result['note'] = f'Validation failed: {str(e)}'\n", + " result['error_details'] = traceback.format_exc()\n", + " result['available'] = False\n", + " \n", + " return result\n", + "\n", + "# Test comparison\n", + "print(\"Comparing implementations...\")\n", + "print(\"=\" * 60)\n", + "\n", + "# Generate test signal\n", + "np.random.seed(42)\n", + "n_test = 10000 # 20 sec @ 500 Hz\n", + "fs_test = 500\n", + "t_test = np.arange(n_test) / fs_test\n", + "\n", + "# Create signals with 10 Hz component (alpha) with phase lag (true connectivity)\n", + "x_test = (np.sin(2 * np.pi * 10 * t_test) + \n", + " 0.3 * np.sin(2 * np.pi * 15 * t_test) + \n", + " 0.5 * np.random.randn(n_test))\n", + "y_test = (np.sin(2 * np.pi * 10 * t_test + np.pi/4) + # Lagged 10 Hz\n", + " 0.3 * np.sin(2 * np.pi * 15 * t_test + np.pi/3) + \n", + " 0.5 * np.random.randn(n_test))\n", + "\n", + "comparison = compare_with_hypyp_coherence(x_test, y_test, fs_test)\n", + "\n", + "print(f\"Our implementation:\")\n", + "print(f\" Frequencies: {len(comparison['ours_freqs'])} points\")\n", + "idx_10hz = np.argmin(np.abs(comparison['ours_freqs'] - 10))\n", + "print(f\" ImCoh at 10 Hz: {comparison['ours_imcoh'][idx_10hz]:.3f}\")\n", + "\n", + "if comparison['available']:\n", + " print(f\"\\nHyPyP implementation:\")\n", + " print(f\" Frequency bands: {list(comparison['hypyp_freqs'].keys())}\")\n", + " for band, imcoh_val in comparison['hypyp_imcoh'].items():\n", + " print(f\" ImCoh in {band} band: {imcoh_val:.3f}\")\n", + " \n", + " # Visualization: compare band-averaged values\n", + " fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(14, 5))\n", + " \n", + " # Left: Our full spectrum\n", + " ax1.plot(comparison['ours_freqs'], comparison['ours_imcoh'], \n", + " color=COLORS['signal_1'], linewidth=2, label='Our implementation (Welch)')\n", + " ax1.axvline(10, color='gray', linestyle=':', alpha=0.5, label='Test frequency (10 Hz)')\n", + " ax1.axhline(0, color='gray', linestyle='--', alpha=0.5)\n", + " \n", + " # Shade HyPyP frequency bands\n", + " for band, (low, high) in comparison['hypyp_freqs'].items():\n", + " ax1.axvspan(low, high, alpha=0.1, color=COLORS['signal_2'], label=f'{band} band' if band == 'alpha' else '')\n", + " \n", + " ax1.set_xlabel('Frequency (Hz)', fontsize=11)\n", + " ax1.set_ylabel('Imaginary Coherence', fontsize=11)\n", + " ax1.set_title('Full ImCoh Spectrum (Our Implementation)', fontsize=12, fontweight='bold')\n", + " ax1.legend()\n", + " ax1.set_xlim(0, 30)\n", + " ax1.set_ylim(-1, 1)\n", + " ax1.grid(True, alpha=0.3)\n", + " \n", + " # Right: Band comparison\n", + " bands = list(comparison['hypyp_freqs'].keys())\n", + " hypyp_vals = [comparison['hypyp_imcoh'][b] for b in bands]\n", + " \n", + " # Compute our band-averaged values for comparison\n", + " ours_band_vals = []\n", + " for band, (low, high) in comparison['hypyp_freqs'].items():\n", + " mask = (comparison['ours_freqs'] >= low) & (comparison['ours_freqs'] <= high)\n", + " ours_band_vals.append(np.mean(comparison['ours_imcoh'][mask]))\n", + " \n", + " x_pos = np.arange(len(bands))\n", + " width = 0.35\n", + " \n", + " ax2.bar(x_pos - width/2, ours_band_vals, width, \n", + " label='Our implementation', color=COLORS['signal_1'], alpha=0.7)\n", + " ax2.bar(x_pos + width/2, hypyp_vals, width, \n", + " label='HyPyP', color=COLORS['signal_2'], alpha=0.7)\n", + " \n", + " ax2.set_xlabel('Frequency Band', fontsize=11)\n", + " ax2.set_ylabel('Imaginary Coherence', fontsize=11)\n", + " ax2.set_title('Band-Averaged ImCoh Comparison', fontsize=12, fontweight='bold')\n", + " ax2.set_xticks(x_pos)\n", + " ax2.set_xticklabels(bands)\n", + " ax2.set_ylim(0, 1)\n", + " ax2.legend()\n", + " ax2.grid(True, alpha=0.3, axis='y')\n", + " \n", + " # Add value labels\n", + " for i, (ours_val, hypyp_val) in enumerate(zip(ours_band_vals, hypyp_vals)):\n", + " ax2.text(i - width/2, ours_val + 0.02, f'{ours_val:.2f}', \n", + " ha='center', va='bottom', fontsize=9)\n", + " ax2.text(i + width/2, hypyp_val + 0.02, f'{hypyp_val:.2f}', \n", + " ha='center', va='bottom', fontsize=9)\n", + " \n", + " plt.tight_layout()\n", + " plt.show()\n", + " \n", + " print(f\"\\n✅ Implementation validated:\")\n", + " print(f\" - Both implementations show true connectivity in alpha band\")\n", + " print(f\" - Our implementation: {ours_band_vals[0]:.3f} (alpha), {ours_band_vals[1]:.3f} (beta)\")\n", + " print(f\" - HyPyP: {hypyp_vals[0]:.3f} (alpha), {hypyp_vals[1]:.3f} (beta)\")\n", + " print(f\" - Positive sign indicates Y leads X (as expected from π/4 phase lag)\")\n", + " \n", + " # Explain methodological differences\n", + " print(f\"\\n📊 Understanding the differences:\")\n", + " print(f\" The beta band shows different values (ours: {ours_band_vals[1]:.2f}, HyPyP: {hypyp_vals[1]:.2f})\")\n", + " print(f\" This is due to fundamental methodological differences:\")\n", + " print(f\"\")\n", + " print(f\" Our approach (Welch's method):\")\n", + " print(f\" • Computes cross-spectrum with windowing (nperseg=256)\")\n", + " print(f\" • Fine frequency resolution → averages many frequency bins\")\n", + " print(f\" • Beta band (13-30 Hz) includes frequencies WITH and WITHOUT signal\")\n", + " print(f\" • Result: lower value reflects averaging over sparse connectivity\")\n", + " print(f\"\")\n", + " print(f\" HyPyP approach (Hilbert transform):\")\n", + " print(f\" • Filters entire frequency band, then extracts instantaneous phase\")\n", + " print(f\" • Captures dominant oscillatory activity in the band\")\n", + " print(f\" • Result: higher value reflects the 15 Hz component's true connectivity\")\n", + " print(f\"\")\n", + " print(f\" Both are valid! They measure different aspects:\")\n", + " print(f\" • Welch: 'Average ImCoh across all frequencies in band'\")\n", + " print(f\" • HyPyP: 'ImCoh of dominant band-limited activity'\")\n", + " print(f\"\")\n", + " print(f\" For real EEG with distributed spectral activity, both provide\")\n", + " print(f\" complementary information about connectivity patterns.\")\n", + "else:\n", + " print(f\"\\n{comparison['note']}\")\n", + " print(\"\\nValidation sources:\")\n", + " print(\" - Theoretical expectations (zero-lag → ImCoh ≈ 0)\")\n", + " print(\" - Phase lag properties (sign interpretation)\")\n", + " print(\" - Published literature (Nolte et al., 2004)\")" + ] + }, + { + "cell_type": "markdown", + "id": "2424ecd0", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 12. Hands-On Exercises\n", + "\n", + "Apply what you've learned! Each exercise builds understanding of imaginary coherence properties.\n", + "\n", + "### Exercise 1: Complex Plane Exploration\n", + "\n", + "**Task**: Create two signals with different phase relationships and visualize their cross-spectrum in the complex plane.\n", + "\n", + "**Expected outcome**: Cross-spectrum point should be in upper-right quadrant (positive real and imaginary), ImCoh ≠ 0." + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "909cc05c", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ Cross-spectrum at 10 Hz:\n", + " Real: 0.1459\n", + " Imaginary: 0.0841\n", + " → Upper-right quadrant: Yes\n", + "\n", + "✓ ImCoh at 10 Hz: 0.499\n", + " → Non-zero: Yes\n" + ] + } + ], + "source": [ + "# Solution - Exercise 1: Complex Plane Exploration\n", + "np.random.seed(42)\n", + "fs_ex1 = 500\n", + "n_ex1 = 2000\n", + "t_ex1 = np.arange(n_ex1) / fs_ex1\n", + "\n", + "# Generate signals with phase lag π/6\n", + "freq_ex1 = 10\n", + "phase_lag = np.pi / 6\n", + "x_ex1 = np.sin(2 * np.pi * freq_ex1 * t_ex1) + 0.1 * np.random.randn(n_ex1)\n", + "y_ex1 = np.sin(2 * np.pi * freq_ex1 * t_ex1 + phase_lag) + 0.1 * np.random.randn(n_ex1)\n", + "\n", + "# Compute cross-spectrum\n", + "freqs_ex1, Sxy_ex1 = csd(x_ex1, y_ex1, fs=fs_ex1, nperseg=256)\n", + "\n", + "# Extract value at 10 Hz\n", + "idx_10hz_ex1 = np.argmin(np.abs(freqs_ex1 - freq_ex1))\n", + "sxy_10hz = Sxy_ex1[idx_10hz_ex1]\n", + "\n", + "# Compute ImCoh\n", + "freqs_imcoh_ex1, imcoh_ex1 = compute_imaginary_coherence(x_ex1, y_ex1, fs_ex1)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Complex plane\n", + "ax = axes[0]\n", + "ax.axhline(0, color='gray', linewidth=0.5, linestyle='--')\n", + "ax.axvline(0, color='gray', linewidth=0.5, linestyle='--')\n", + "ax.plot(np.real(sxy_10hz), np.imag(sxy_10hz), 'o', color=COLORS['signal_1'], \n", + " markersize=12, label=f'S_xy at {freq_ex1} Hz')\n", + "ax.arrow(0, 0, np.real(sxy_10hz)*0.9, np.imag(sxy_10hz)*0.9, \n", + " head_width=0.005, head_length=0.005, fc=COLORS['signal_1'], ec=COLORS['signal_1'])\n", + "ax.set_xlabel('Real Component')\n", + "ax.set_ylabel('Imaginary Component')\n", + "ax.set_title('Cross-Spectrum in Complex Plane')\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "ax.set_aspect('equal')\n", + "\n", + "# ImCoh spectrum\n", + "ax = axes[1]\n", + "ax.plot(freqs_imcoh_ex1, imcoh_ex1, color=COLORS['signal_2'], linewidth=2)\n", + "ax.axvline(freq_ex1, color='gray', linestyle='--', alpha=0.5, label=f'{freq_ex1} Hz')\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Imaginary Coherence')\n", + "ax.set_title('Imaginary Coherence Spectrum')\n", + "ax.set_xlim(0, 30)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"✓ Cross-spectrum at {freq_ex1} Hz:\")\n", + "print(f\" Real: {np.real(sxy_10hz):.4f}\")\n", + "print(f\" Imaginary: {np.imag(sxy_10hz):.4f}\")\n", + "print(f\" → Upper-right quadrant: {'Yes' if np.real(sxy_10hz) > 0 and np.imag(sxy_10hz) > 0 else 'No'}\")\n", + "print(f\"\\n✓ ImCoh at {freq_ex1} Hz: {imcoh_ex1[idx_10hz_ex1]:.3f}\")\n", + "print(f\" → Non-zero: {'Yes' if abs(imcoh_ex1[idx_10hz_ex1]) > 0.1 else 'No'}\")" + ] + }, + { + "cell_type": "markdown", + "id": "7d71616e", + "metadata": {}, + "source": [ + "---\n", + "\n", + "### Exercise 2: Volume Conduction Test\n", + "\n", + "**Task**: Use `simulate_volume_conduction()` to create zero-lag signals and verify ImCoh ≈ 0.\n", + "\n", + "**Expected outcome**: Coherence ≈ 0.9+, but |ImCoh| ≈ 0 at signal frequency." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "44f29238", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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3Q+fUYE6bHSydmev5xKcb85UFvgLC0wDlbA2fzycyquIfx1cp+uMrE3JNKH4Ofm1O6+WMl8Fem6+WxK9vXV0dbdy4UdzPV6zitwunPQ9Hvhoxkqt8jFvE85Sj+LRmXl/eJnwVj1N043HmEGdzxW8rOUOM8brz1UbOwuG/naez8Q9nlPFUP66fFJ91w+JrMDG+KsWP4atV8u/zD3fB4cypd999t8/jeX35CpSM14//Jnmd5BRuTsPm97A/+T3llG3e5ryt41+Xr/Twa/R/3f747+VpW4Ph9eMMtPjOPfJVTPmqJr8XfHWOu+fE46uLPK4b7CrUWPG+xOnz8XUoGF955Cuo/e+XtyVn4fFVSzkjSd5G/Lfz55Tf+/5p7mPdP+XPAl+15ekUMi7Oyu8Rb6/++u9LvH/yusmvK/9O/2082Gd5pDgzkvdXzqbsXw9usGl+w+GMSM4M4yvH8bWmOJuLr0gONg10sL87fv+Xyfsnv2cAAHrEY4346U7ycYyzP+KPPf2Pb2MZP/G4RJ4Kxzhblo8vXBSdp2vHO+ecc/qMEfqPn0ZruDEHZ+TwmCt+zMHjI85OH8v6K/GejGVMGY/f05G+n8k49vI25hquPAtDxuO8wcaiI8XjWR5bcNZYf2MZc8jnODwOih/DcJYYT2/s/3ePZMwtw5gDlICgFCQMz7Pnk3dOEeXUXJ4mxifAXMOmf5BkMJySzCeIcl0eDkbwfGtOveXpWv3Fn4THf4nKdYTk4BQHROLxc/YfEPDBkadf8WPjX5tb7w722typLd5Qr8U4sDUcPoAw3l4jwa832PNyUeT49RnptuLBA+OgGv/d8T9PPPGEqOfTfzv03wb8HByE4W3Q/zk45bt/wXueFtX/QMzrFV8Hiqeh8d95qALv/Lq8bly7rP/r8gBtJIX2h6rVw3XFOLASn07PhUg5/Znn8MvbmlOn+w+ghnovxqP/+ygHQPkzM9j98rbkaX/8N/JU1v7bSB4gHWo7jWb/lP/eofZPeWA62s8yD7q4psdoP1tD4X2Ln3MkQeORONTfzQPj/vuBXE/iUPt///1zLANXAAAtGOvxbSzjJx6n9L8YMdbx01gMNebg8hUc/JDHHHxRjKfX81hEft3Rrr8S78lYxpTx+D0dzfuZ6GMv/w7XL+VATiLHHDxWjL9YNx5D/d0cbOJSJf3/7pGMuWUYc4AS1NnKCzSNvxA5QMU/XJyas3Q4m2WwqwPx+ArEH//4RxH152wQPsjxFygfpAe7ojJU7aWxFAPmue58ws5z4rleFB80+IDP6zLYa8dnSSUCHzgZ17HiugiJNty2kv9Grk3ALXgH0//g3H8b8HPw+8WZQYO9Xv/fT9T7x6/LASmuqzSY/oOP/riuwFCDS776yNlFjz/+uKjjVV1dLQZbgxWHHIuhggyDFbs+1DYb6fvLNcU4M2owcmvq4fZP+SpxIiXyszzabaqU0XTRkfdPDpYDAOjRWI9v8cenVK7XWBtPHGrMwWMZzijmrBqu28S1Ujk4078GqFbGHKMZU8bj95SbtXCTnP4BsPFKdAc73qaD7QtaGXMMtu4Yc4ASEJSCpOLuXvKUnuEOitzSl6+qcAE+GV8lGqzbxUjIRSQ5iMBXDWTcoa//gIBfmztSPPnkk33u59ceyYlg/Gv1t2vXrmF/n6fh8RULzsL5xS9+MexBk19vsOflYp/x6zNScgYKX53q3xFmNM/BBzfOoOJgZCLwc3L3Fp7OOVhHHfkxnMbMRbTHEizkwQ8HtPiqXfzUSxkPBrl183PPPSdaMsd3wJG3Nb8+Dxzjs6VG8l7IVz55P4vvXJnIK51M3v95G47l/ZULq3OnuuGCUvLfO9T+yZ8nLrA+GvycPMiVM+dkg70Gb9PBvjP6b1Peb/g5OYtzqEHzaLKT4v9unk4Zj+8b7WcyHu938VfCAQBAwuMNPi5wtzAu9H2oYIf8Xc1Z8Pz9H59tNNbx01jGHBx0GgqPOV5//XVxgY8zpnhcxsfgRKz/SI+P4zXeMSX/vTwe5jEHz7pI9bGXf4eb9HC2ffz+NNSYY7ApcIONObg5EZdTOFS21FjGHPHnODylj8cMYx3LM/593rcSNZYHGAlM34OE4Lo9g0Xb5Vow8SeSfEI62EGRAzH9n+N3v/vdmK828Bcyn4Tzc8Q/L3fUGslrc3bXoersxOM0Xz6x5Tau8SnJb7311oimLnJ7Vu6CwdPc+P+DbUs+OMsdS0499VSxzHW8ZDwliruH8Pz/0U5J4vpLfMDkTiR8EO6PA3nD4W40vB25g1n/9efbXFdgtLhuAU/3euihhwb8m/wanMnE+whnuPXHbZeHC2pyVh4/F3ePHAwHu3ib8vbnwBR3auE0aBm/F/z6/deRp4Py4ILT7ocbuMXXj5DbAScSX33lbj3clSU+QDzS95e3EXdt4bR7rsXUHw+COAur/2chfttzJxfuUMnba7TkbcjdfuIN9lnmbcqfQR60y/hv7t9hkDMSedDFXff6Z0PG779DfV8NFoDn7cwBTJ6aIOMTC/5cj6dTIO+bHDCVp4wCAEAMjzt4jMFdWvm43x8fe1555RWxzMeg+vp6cTyX8e/wWJEDEHyMTyY+nvKF0aFqUvGxiceEjzzyiDh+yJ2AZeNZ/5EeH8drvGNKLvsxf/580dE5fpwr44uAcifcZBx7eRvzNv39738fvY/HebyN++O/kwOC8X8T19b96KOPBoxneWzRv7PwWMccfI7DM1N4XBT/+3xxnd/j8Y45eLwx2IVagGRBphQkBE+96+npoa997WviKhCfpHLbWz5o8gk9T+GLP1hxZsn9998v5ldzZg0XSeQ2s9z+lL8EOajCByJ+HKc6jwVP2+ITZc7w4OfmgwynA/OBqn/2E/87n5zyeh599NEiDZyzZ+KvPgyHX4cPApz1xNMA+WoIH8D4i32wg3J/3FaXW75zphgH+figzMUsefDBgQAOQvE2ZdxGlq8i8ck6F7fkqy4cBOCrG3wFrn+tgeHw4zngwM/H68vbgYvUc1CO14WvdnEa+aHwgZnb5vJVLS62Lrdn5nXiAQ8XYZcDFyN1wQUX0J///Ge65pprxN/PWToctOH9gotacsteHoBxy1ze/lxck1vhcjCSs9Y4sMhXTnlbDoXfL97H+Dn7X2VjHFjiYp08xZPxftL/ih5n2fEAif9urjfFA2C+asvTP/vXQYrH68o1G7hNML//HNR76qmnxL7LUwUTiacC8N/KAz0uhMn7Nk9J5M8ZF1blQdSh8PvA68sDZP6buVgpD554O//9738XA1segMop+7wv8eCb/zauF8efBf5scwvj0eIgF2en8SCdB1v8GeWrmFwrqz+e7suBXf4u4s8Gfy/xwJKv+MU3LeDpivyecTCT9yv+u7ie3Keffiq+l3h/kr+v+Pd53+bf4cHvYPsJ73Pc4pk/O7xP8vry9uX9j78Dr776ahorDm7zNkdNKQCAgbgYOY/bOIjB4zz+/uVMEg5UcdYRHy/kOk08FuELNNyMg0+++fuZs+U5iMAXOkZaYHuseJzIdTJ5zMHr0h8Hlnj81L+pimw86z/S4+N4jXdMycdTrlHLgZfjjjtOXHzkC4R8P4+TedtwhhK/38k49vLxll+Px9o8ruNzEl6fwepg8Xifz2e4NAKPd7g+JwfI+O+Wi/AzHieef/75IojE4ya+0McXxFavXi3+7fLLLz/kOVJ/PE7k8TYHufi5uNEUZ03xOInLp8QXNR8NnpnAxfJ5jA2QUknr6weG8tprr4m27rNmzRItablN6WGHHRa+4oorwg0NDX0eu3PnzvBxxx0n2tjzLii3PuV28xdeeGG4oKBAPAe3kuXHckvV+PaoclvUTz/99JAt2hm3Sb3tttvCpaWl4vWOP/748NatWwc8p8fjCV977bXRxx1zzDHhNWvWDGj1Kr/GP//5z0G3w/PPPx+ePXu2aKM7Z86c8AsvvDBkC96h/Otf/xItXvPy8sJWq1Ws0znnnBN+7733+jxu79694W984xvhnJycsNPpDB9xxBGiBe5g26T/+sqtjvu3L96wYUP47LPPFi2Q+W/g9f7Wt74Vfueddwa0Dm5qahpyG3DLY25ryz+8T1x22WXhXbt2HbIlNBtsW3EL4RtvvFG0EbbZbKKFLf/d/PfHe+yxx0RLX37/MjMzw/Pnzw9ff/314dra2vBwuEUv769D2bZtW7Q9Mu+n/XV2doavvvrqcFlZmVhHboX8m9/8pk+bX9Z/v2Off/55ePny5eIzM3ny5PD9998/oPWv/LunnXbagNfmx/H2Hez95XWIx9vsggsuENuQ13PChAnhr371q2KfGwl+L+677z7Rtlr+nPPfyp/zPXv29Hns22+/LT5H/H5kZWWFTz/99PD27dv7PGaofWmwv59bPfP7xPsm71f8fAcOHBjQ8pq9+eaboj00r9/MmTNF6+zBWl4zbpvM7aD5vc3NzRX75ltvvRX99/r6erHdeZ/i35e/Dwb7vmHPPfdc9Pn4M3zeeeeFDx482OcxvA/w39DfYOu4Y8cOcR9vTwAALeHjVv/v58GO/6M5jh1qHMZjlTPPPDNcVFQkxk+FhYXiWPHSSy/1eRyPS+XxJh8neLzQfzw01OvL69v/7xpsTDWUM844I7xq1aoh//3VV18Vz8fjPx7H9jeS9R9qPUd6fEzEezKSMeWh8HjrlltuEX9fWlqaGOvyut9www3hurq6pB57W1pawueff74Yv2RnZ4tl/nsGe595G06dOlVs00WLFoXfeOONQcezgUBAbDseF/Njef/8yle+IsaBw50jDTYuYg899JB4Ph7TFRcXhy+55JIB49TRjLn5fI5fZ/fu3QMeD5BMJv5PasNgAADqwmn0nOHHWXScAQSgFpxtx9M7+Yo4MqUAQEs4U4UzesaSIas1/P3MzXr47x0OZ8fwlHqe9jVY12YApXCWHu/LiZ7SCTAc1JQCAMPjqWycdv3rX//a8NsC1IOnnvAUCJ46iIAUAIA+8JRxng6fqE6+AInANbi49tpgNVoBkg01pQAAiPoUtARQA651NpJ6dAAAoC2cmQ2gJtzhd7BGAQCpgEwpAAAAAAAAAAAwVlCK62RwhwPuLsBTEwZrNd7fe++9R4cffrjoksSdkJ5++umUrCsAAACAWmAMBWrHncuMUE+KcYnekdSTAgAAlQWluLU7t0/nVuUjwa3luZUqt87k1u9cAPaHP/whvfHGG0lfVwAAAAC1wBgKAAAA9EA13ffkSv9c9X8oP/vZz+jVV1+lrVu3Ru/79re/TW63m15//fUUrSkAAACAemAMBQAAAFqlqULna9asoRNPPLHPfaeccorImBqK1+sVP7JQKEStra2igCy6GQEAABgbX5vr7OwUpQTMZv2W2sQYCgAAANQ4ftJUUKq+vp6Ki4v73Me3Ozo6qLe3l1wu14Dfufvuu+m2225L4VoCAACA1hw4cIAmTpxIeoUxFAAAAKhx/KSpoNRY3HDDDXTNNddEb7e3t9PkyZNFfaqcnBxF101POAOtubmZCgoKNHmlee1+N727ty3lr2syEVnMRFaziSwmE1ki/2dhClMwGCTvge0UCoXJNmmu+AWeb8uTbkPhcNyy9HyJnoyb7bLQJUdNJj3S+j6rVtiu2K5awyUApkyZQpmZmUqviupgDJUa+N5MPB4/ffzxx9TT00MnnHAC2Wy2JLyKcWGfxXbVEuyv6h8/aSooVVJSQg0NDX3u49tZWVmDZkkx7tLHP/1xQApBqcR+2H0+n9imWjzB99f6yJHuF8tT812UbreSxRQJFkV++gSO5Ntx/+d/i398/9vSMgehYs9jjgSgDjWo+uADtyhoe8op80Y0qOJUSg5SSQGrsBS04hBXeGAwSzw2fln8Xphe2NJAdR1e8vBnKD2TXDYL6Y3W91m1wnbFdtUqvU/pxxhKvfC9mXg8fsrIyBCfaz7OIyiVWNhnkwPbFdvVqOMnTQWljjrqKPrPf/7T57633npL3A8wHu5eKSDFzp5fQpkOTX00BnwxcEAtcmtMzzEx2ymCUqyh00sVeWmJW0EAAEg5jKEAAABAjRRND+jq6qKNGzeKH8ZT6ni5uro6mjZ+wQUXRB//P//zP7Rv3z66/vrraefOnfTII4/QP/7xD7r66qsV+xtAH9oiQSmb2UQZdv1lBY1WSWYsu7CuM9YoAAAA1AFjKAAAANADRYNSn332GS1evFj8MK79xMu33HKLuF1XVxcNUDGes/jqq6+K7KiFCxfS//7v/9ITTzwhOvABjBVPW3P3BsRyjsum+ykcI1GaFQtK1UcypgAAQD0whgIAAAA9UHSO0vHHHy8CAkN5+umnB/2dDRs2JHnNwEi6fEEKRCqF57i0O20vkYoy7GQ2SQXU65Eppbs6G35/bLpqMuoh8PN7PB7U6sJ2VQWuJWOx6C8DFmMoAADQY02tZDwvxqZjY7fbUzKexxk4GF58PSnOlFITztoqLy8X3Q1SmcFls5ipIN1OjV0+8RMIhciKYuCaxhcAuCU870vJfh0++Hd2diLrENtVNbjQMRf6RiYsgDEoNX4CgLHhYBSX8uExZKJhbDp2HJDi2WocnEomBKXA8Np6YkGpXJUFpfiLoKKighobG1OedcJ1pTggxdlSTV0+Ks1ypvT1IbHkgFRRURGlpaUlbZDOB/5AIEBWqxUnAtiuiuP9kVvC83coKy0tVXqVAEDn4ycAGP2xmsv2cFbzpEmTEv6Zxdh0bDhAWFtbK96byZMnJ3Vcj6AUGF5bpJ4Uy8X0vaiSLAdtrusUy9yJD0EpbU/ZkwNS+fn5SX0tHPixXdXG5XKJ//PJKX8G9DiVDwAAQKv4YiZfQCorKxMXThMNY9OxKywsFIEpfo+4HEKy4NIBGF6f6Xtp6sqU4i/R7u5u6u3tPWT9tWQoRQc+3ZBrSCXjQA+gBfK+n8x6agCgHkqOnwBg9BdPWbKniMHoye+J/B4lCzKlwPDa4oNSTpvq0ia5wxIPrCZOnJjSK/w8fU+GDnz6gLoaYFTY9wGMRcnxEwCMDY7Vxn1PkCkFhueOTN9zWM3ksuEjIUuzWyjbKcWtuQNfCFcaAQAAAAAAIIFwBg6GxoGWdo8/Wk8KEfrBs6V8wXCfgvAARlVVVSW+JzZu3Kip5+7v+9//Pp111llJfx0AAAAAvXrvvfdEUwU1evrpp0X34ZGMPZWGoBQYWocnILrLsRyVdd5Tg9KsuCl8nV5F1wWMqampiS655BLR9cPhcFBJSQmdcsop9NFHH0UfwwfTF198kYxiz549dOGFF4opKbxNuFXvd77zHTFVBQAAAACUkagxaUdHB9144400a9YscjqdYvx74okn0gsvvKDLOnmoKQWGFl9PKhdBqUPWlarr9NLcksxUvTUAwte//nXy+Xz0pz/9iaZOnUoNDQ30zjvvUEtLi2a3EP89Yy3myYEnHpTMmzeP/vCHP4jBSmdnJ7300kt07bXX0vvvv09K4SKYPBhD+3UAAACAsXG73XTsscdSe3s7/epXv6Jly5aR1WoVY7zrr7+eTjjhhGEzoLQGmVJgaH067yEodehMqQ5kSkHqD8qrV6+me+65h770pS9ReXk5HXHEEXTDDTfQGWecIR4jp0x/7WtfEwER+fbevXvpzDPPpOLiYsrIyBAH9LfffrvP8/Nj77rrLrrooosoMzNTZGM99thjfR6zbt06Wrx4sbhKtXTpUtqwYcOAQMwPfvADka3kcrlo5syZ9OCDDw46Ve7OO+8U7Y75MSN57v74yhhnSE2fPl1sl9NOO42mTZtGixYtoltvvVUEpmRbtmwRgxZep/z8fPrRj35EXV1dA57zvvvuo9LSUvGYyy67rE93Oq/XS9dddx1NmDCB0tPTafny5SJNvX9a+L///W+aM2eOyNqqrq4e8e+98cYbNHv2bPH+fPnLX6a6uro+6/bUU0/R3LlzxfPyOl5++eV99o0f/vCHolVxVlaW+Fs3bdp0yO0HAAAAkCry1Lh//OMftGLFCjEm4/HoF198QZ9++qkY+/EY6Ctf+YqYGSD7xS9+IX537dq19L3vfU+MsWbMmEEXX3yxKPHAv8Pa2troggsuoNzcXNFlmJ9n9+7dA9ZjuPGWGiAoBYbW1iMVOZdrSkFfXOjcZZW+JjB9D1KND578w2nQHOgYDB/U2R//+EdxkJVvcwDm1FNPFVlVHOzhg/Dpp58ugibx/vd//zcaELr00kvFVMFdu3ZFn+OrX/2qGAx8/vnn9Mtf/lIEW/p3eOJpdP/85z9p+/btdMstt4jBBA9A4vF68PO+9dZb9Morr4zoufvjgci2bdtERtRg2UjyVTPuNsVTHHmQwtuD140DcvFBHfbuu++K4B3/nzPROFjEPzJ+/Jo1a+jvf/87bd68mb75zW+K7Rg/4Onp6RFBwyeeeEKsW1FR0Yh/jwNif/nLX+iDDz4Q70v83//73/9eBMk4mMYBNg58HXbYYdF/5+dsbGyk1157TWy/ww8/nFatWkWtra2H3IYAAAAAqcQXDm+66SZav369yHg699xzRcYTX8Tki4x79uwR40d5XMnjp/POO09cyOyPx8X8HPJFT86g5zESj7v44iWPfeMvMA433lILnIWDobkjRc7VminF0XU+4eWsACWK0PFrlmQ5qLK1lzq9QeryBijDga8NvfjDmmrq8gYT+pxhis1zN9Hg+2yGw0I/PmrysM/FB10OkvCVoUcffVQEHlauXEnf/va3acGCBeIxnCkjB2R4vr1s4cKF4kd2xx130P/93/+JA3d8cIYP3hyMYj/72c/ot7/9rQjScDbT3/72NzE4ePLJJ0U2E2ftHDx4UASuZDabjW677bbobc6Y4oEBB6W+9a1vRe/njCEO3MjT9jgja7jn7o8HLYyn7B0Kr7fH46E///nP4nXZQw89JIJyHEDi7DHGQSu+n1ul83Ny5hUHz3h786CFA338f3lQxIOY119/XdzPGWaMBz6PPPJIdFuP5vf4PeVML8bvye233x79GzhdnYNvV111VfQ+vrrIPvzwQ5FlxkEpzqJiPODi4OW//vUvEcgCAGNTevwEAOPT+9oaCvcmbpYGj05H0rLJ5HKQ6ytHUSLxOIgvFjIe13AdUB5vHXPMMeK+H/zgB9GLgs3NzSIDarixHl/o4zEt11g9+uijxX3PPPMMTZo0SYyH+OLdSMZbaoGzSzC0+I5yagxKcTYEf4nwyZdSdVq4rhQHpVhdh5emF+JrQy84INXhjWULqrWmFAdL+ErSJ598IjJj7r33XhHg4StEQ+FMJM4+evXVV0UGVSAQoN7e3gGZUnJwKxqELSkRnze2Y8cO8e8cNJIdddTAgcrDDz8spprxc/NrcM0onlIXb/78+X3qSI30ueONtLAlPzcHieSAFOOBDwfBOFtLDkpxIIwDUjKeIsdZSYz/z1MTOV08Hmes8VQ/Gf9N8dtwpL/HaebyAEl+bXm78/9ra2tF5tNgeJoev7/xz8d423PmFwCAGsZPADB2HJBKZFBKPCcpI36cJI/BeFwYf19jZAw0mrEeX7zlEgkyHhfxRVX+t5GMt9QEZ5dgaO5e6YQ83W4hR2SaGhy6A9/0wtiJLmgbZywl2kgzpUaDAzcnnXSS+Ln55ptFLSFOhT5UUIqvSvFUOc6g4WlfPI//G9/4hggYxeNMp3gcmOLgzUhxijW/Fk8D5KAS16b6zW9+I+oAxIsPEI0V15JiO3fuFLWoxutQfzsHfThgxVPj4gNXTK5lwHi7xmchjPT3BntteSDGz3ko/Bo8qIqvUyXTW+FPAAAAI+KMpUTiEYZJgdftP+aRx0z97wtFxl88A4DHMjzWS/Rry6+lxu59CEqBYQVCIeqMZInkqLSeFH9p8DQczjJQ6gukfwc+0I+RTKEbLd5POSuJr94ka8oE12GKb7fLB1zOzonH6cwctOIC6HIgg4tGjgYXheQ5+PwZlDOaOFur/+tw2rQ8BZCNJFtnJM/dH2df8d/OAbBzzjlnwNV/nqbCAxl+bk4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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ At 10 Hz (volume conduction):\n", + " Standard Coherence: 1.000\n", + " |ImCoh|: 0.004\n", + "\n", + "✓ Verification:\n", + " Coherence > 0.9: True\n", + " |ImCoh| ≈ 0: True\n", + "\n", + "✓ ImCoh successfully rejects volume conduction artifact!\n" + ] + } + ], + "source": [ + "# Solution - Exercise 2: Volume Conduction Test\n", + "x_vc_ex2, y_vc_ex2 = simulate_volume_conduction(\n", + " n_samples=2000, fs=500, frequency=10, noise_level=0.1, seed=123\n", + ")\n", + "\n", + "# Compute metrics\n", + "freqs_coh_ex2, coh_ex2 = compute_coherence(x_vc_ex2, y_vc_ex2, fs=500)\n", + "freqs_imcoh_ex2, abs_imcoh_ex2 = compute_abs_imaginary_coherence(x_vc_ex2, y_vc_ex2, fs=500)\n", + "\n", + "# Extract at 10 Hz\n", + "idx_10hz_ex2 = np.argmin(np.abs(freqs_coh_ex2 - 10))\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Coherence\n", + "ax = axes[0]\n", + "ax.plot(freqs_coh_ex2, coh_ex2, color=COLORS['signal_1'], linewidth=2, label='Standard Coherence')\n", + "ax.axvline(10, color='gray', linestyle='--', alpha=0.5)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Coherence')\n", + "ax.set_title('Standard Coherence (Volume Conduction)')\n", + "ax.set_xlim(0, 30)\n", + "ax.set_ylim(0, 1)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# ImCoh\n", + "ax = axes[1]\n", + "ax.plot(freqs_imcoh_ex2, abs_imcoh_ex2, color=COLORS['signal_2'], linewidth=2, label='|ImCoh|')\n", + "ax.axvline(10, color='gray', linestyle='--', alpha=0.5)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('|Imaginary Coherence|')\n", + "ax.set_title('|ImCoh| (Volume Conduction)')\n", + "ax.set_xlim(0, 30)\n", + "ax.set_ylim(0, 1)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"✓ At 10 Hz (volume conduction):\")\n", + "print(f\" Standard Coherence: {coh_ex2[idx_10hz_ex2]:.3f}\")\n", + "print(f\" |ImCoh|: {abs_imcoh_ex2[idx_10hz_ex2]:.3f}\")\n", + "print(f\"\\n✓ Verification:\")\n", + "print(f\" Coherence > 0.9: {coh_ex2[idx_10hz_ex2] > 0.9}\")\n", + "print(f\" |ImCoh| ≈ 0: {abs_imcoh_ex2[idx_10hz_ex2] < 0.1}\")\n", + "print(f\"\\n✓ ImCoh successfully rejects volume conduction artifact!\")" + ] + }, + { + "cell_type": "markdown", + "id": "7ba3cc94", + "metadata": {}, + "source": [ + "---\n", + "\n", + "### Exercise 3: True Connectivity\n", + "\n", + "**Task**: Use `simulate_lagged_connectivity()` to create truly connected signals and verify both metrics detect it.\n", + "\n", + "**Expected outcome**: Both coherence and ImCoh should be > 0.3 at signal frequency." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "fe0beb02", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ At 10 Hz (true connectivity with lag):\n", + " Standard Coherence: 0.996\n", + " |ImCoh|: 0.950\n", + "\n", + "✓ Verification:\n", + " Coherence > 0.3: True\n", + " |ImCoh| > 0.3: True\n", + "\n", + "✓ Comparison with Exercise 2 (volume conduction):\n", + " Exercise 2 |ImCoh|: 0.004 (artifact → near zero)\n", + " Exercise 3 |ImCoh|: 0.950 (true → non-zero)\n", + "\n", + "✓ Both metrics detect true connectivity, only ImCoh rejects artifacts!\n" + ] + } + ], + "source": [ + "# Solution - Exercise 3: True Connectivity\n", + "x_tc_ex3, y_tc_ex3 = simulate_lagged_connectivity(\n", + " n_samples=2000, fs=500, frequency=10, lag_samples=10, noise_level=0.3, seed=456\n", + ")\n", + "\n", + "# Compute metrics\n", + "freqs_coh_ex3, coh_ex3 = compute_coherence(x_tc_ex3, y_tc_ex3, fs=500)\n", + "freqs_imcoh_ex3, abs_imcoh_ex3 = compute_abs_imaginary_coherence(x_tc_ex3, y_tc_ex3, fs=500)\n", + "\n", + "# Extract at 10 Hz\n", + "idx_10hz_ex3 = np.argmin(np.abs(freqs_coh_ex3 - 10))\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "ax.plot(freqs_coh_ex3, coh_ex3, color=COLORS['signal_1'], linewidth=2, \n", + " label='Standard Coherence')\n", + "ax.plot(freqs_imcoh_ex3, abs_imcoh_ex3, color=COLORS['signal_2'], linewidth=2, \n", + " label='|ImCoh|', linestyle='--')\n", + "ax.axvline(10, color='gray', linestyle=':', alpha=0.5, label='10 Hz')\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Connectivity')\n", + "ax.set_title('True Lagged Connectivity: Both Metrics Detect It')\n", + "ax.set_xlim(0, 30)\n", + "ax.set_ylim(0, 1)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"✓ At 10 Hz (true connectivity with lag):\")\n", + "print(f\" Standard Coherence: {coh_ex3[idx_10hz_ex3]:.3f}\")\n", + "print(f\" |ImCoh|: {abs_imcoh_ex3[idx_10hz_ex3]:.3f}\")\n", + "print(f\"\\n✓ Verification:\")\n", + "print(f\" Coherence > 0.3: {coh_ex3[idx_10hz_ex3] > 0.3}\")\n", + "print(f\" |ImCoh| > 0.3: {abs_imcoh_ex3[idx_10hz_ex3] > 0.3}\")\n", + "print(f\"\\n✓ Comparison with Exercise 2 (volume conduction):\")\n", + "print(f\" Exercise 2 |ImCoh|: {abs_imcoh_ex2[idx_10hz_ex2]:.3f} (artifact → near zero)\")\n", + "print(f\" Exercise 3 |ImCoh|: {abs_imcoh_ex3[idx_10hz_ex3]:.3f} (true → non-zero)\")\n", + "print(f\"\\n✓ Both metrics detect true connectivity, only ImCoh rejects artifacts!\")" + ] + }, + { + "cell_type": "markdown", + "id": "32213232", + "metadata": {}, + "source": [ + "---\n", + "\n", + "### Exercise 4: Sign Interpretation\n", + "\n", + "**Task**: Create signals where Y leads X, verify signed ImCoh is positive, then swap signals.\n", + "\n", + "**Expected outcome**: ImCoh(X,Y) > 0 when Y leads, ImCoh(Y,X) < 0 (antisymmetry)." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "dcec5b7d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ At 10 Hz (Y leads X by 30°):\n", + " ImCoh(X, Y): -0.502\n", + " ImCoh(Y, X): +0.502\n", + "\n", + "✓ Verification:\n", + " ImCoh(X, Y) > 0: False\n", + " ImCoh(Y, X) < 0: False\n", + "\n", + "✓ Antisymmetry test:\n", + " ImCoh(X, Y) + ImCoh(Y, X) = 0.000000\n", + " ≈ 0: True\n", + "\n", + "✓ Sign flips correctly! ImCoh(X,Y) = -ImCoh(Y,X)\n" + ] + } + ], + "source": [ + "# Solution - Exercise 4: Sign Interpretation\n", + "np.random.seed(789)\n", + "fs_ex4 = 500\n", + "n_ex4 = 2000\n", + "t_ex4 = np.arange(n_ex4) / fs_ex4\n", + "\n", + "# Y leads X (Y has negative phase lag → X is delayed)\n", + "phase_lead = -np.pi / 6 # Y leads by 30 degrees\n", + "x_ex4 = np.sin(2 * np.pi * 10 * t_ex4) + 0.2 * np.random.randn(n_ex4)\n", + "y_ex4 = np.sin(2 * np.pi * 10 * t_ex4 + phase_lead) + 0.2 * np.random.randn(n_ex4)\n", + "\n", + "# Compute signed ImCoh both ways\n", + "freqs_xy, imcoh_xy = compute_imaginary_coherence(x_ex4, y_ex4, fs=fs_ex4)\n", + "freqs_yx, imcoh_yx = compute_imaginary_coherence(y_ex4, x_ex4, fs=fs_ex4)\n", + "\n", + "# Extract at 10 Hz\n", + "idx_10hz_ex4 = np.argmin(np.abs(freqs_xy - 10))\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# ImCoh(X,Y)\n", + "ax = axes[0]\n", + "ax.plot(freqs_xy, imcoh_xy, color=COLORS['signal_1'], linewidth=2, label='ImCoh(X,Y)')\n", + "ax.axhline(0, color='gray', linestyle='--', alpha=0.5)\n", + "ax.axvline(10, color='gray', linestyle=':', alpha=0.5)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Signed ImCoh')\n", + "ax.set_title('ImCoh(X,Y) when Y leads X')\n", + "ax.set_xlim(0, 30)\n", + "ax.set_ylim(-1, 1)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "# ImCoh(Y,X)\n", + "ax = axes[1]\n", + "ax.plot(freqs_yx, imcoh_yx, color=COLORS['signal_2'], linewidth=2, label='ImCoh(Y,X)')\n", + "ax.axhline(0, color='gray', linestyle='--', alpha=0.5)\n", + "ax.axvline(10, color='gray', linestyle=':', alpha=0.5)\n", + "ax.set_xlabel('Frequency (Hz)')\n", + "ax.set_ylabel('Signed ImCoh')\n", + "ax.set_title('ImCoh(Y,X) after swapping')\n", + "ax.set_xlim(0, 30)\n", + "ax.set_ylim(-1, 1)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"✓ At 10 Hz (Y leads X by 30°):\")\n", + "print(f\" ImCoh(X, Y): {imcoh_xy[idx_10hz_ex4]:+.3f}\")\n", + "print(f\" ImCoh(Y, X): {imcoh_yx[idx_10hz_ex4]:+.3f}\")\n", + "print(f\"\\n✓ Verification:\")\n", + "print(f\" ImCoh(X, Y) > 0: {imcoh_xy[idx_10hz_ex4] > 0}\")\n", + "print(f\" ImCoh(Y, X) < 0: {imcoh_yx[idx_10hz_ex4] < 0}\")\n", + "print(f\"\\n✓ Antisymmetry test:\")\n", + "print(f\" ImCoh(X, Y) + ImCoh(Y, X) = {imcoh_xy[idx_10hz_ex4] + imcoh_yx[idx_10hz_ex4]:.6f}\")\n", + "print(f\" ≈ 0: {abs(imcoh_xy[idx_10hz_ex4] + imcoh_yx[idx_10hz_ex4]) < 0.01}\")\n", + "print(f\"\\n✓ Sign flips correctly! ImCoh(X,Y) = -ImCoh(Y,X)\")" + ] + }, + { + "cell_type": "markdown", + "id": "02997349", + "metadata": {}, + "source": [ + "---\n", + "\n", + "### Exercise 5: Band Comparison\n", + "\n", + "**Task**: Generate signals with connectivity in one band and artifacts in another.\n", + "\n", + "**Expected outcome**: ImCoh correctly identifies alpha (true) vs beta (artifact)." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "db74e6ff", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ Band Coherence:\n", + " alpha : 0.997\n", + " beta : 0.442\n", + "\n", + "✓ Band |ImCoh|:\n", + " alpha : 0.845\n", + " beta : 0.060\n", + "\n", + "✓ Interpretation:\n", + " Alpha: High coherence (0.997) + High ImCoh (0.845)\n", + " → True connectivity with lag ✓\n", + " Beta: High coherence (0.442) + Low ImCoh (0.060)\n", + " → Volume conduction artifact ✗\n", + "\n", + "✓ ImCoh correctly identifies which band has true connectivity!\n" + ] + } + ], + "source": [ + "# Solution - Exercise 5: Band Comparison\n", + "np.random.seed(101)\n", + "fs_ex5 = 500\n", + "n_ex5 = 3000\n", + "t_ex5 = np.arange(n_ex5) / fs_ex5\n", + "\n", + "# Alpha: true connectivity with lag\n", + "alpha_freq = 10\n", + "lag_alpha = 8 # samples\n", + "x_alpha = np.sin(2 * np.pi * alpha_freq * t_ex5)\n", + "y_alpha = np.roll(x_alpha, lag_alpha)\n", + "\n", + "# Beta: volume conduction (zero lag)\n", + "beta_freq = 20\n", + "beta_signal = np.sin(2 * np.pi * beta_freq * t_ex5)\n", + "\n", + "# Combine\n", + "x_ex5 = x_alpha + 0.8 * beta_signal + 0.2 * np.random.randn(n_ex5)\n", + "y_ex5 = y_alpha + 0.8 * beta_signal + 0.2 * np.random.randn(n_ex5)\n", + "\n", + "# Compute band metrics\n", + "bands_ex5 = {'alpha': (8, 13), 'beta': (13, 30)}\n", + "band_coh_ex5 = compute_all_band_coherence(x_ex5, y_ex5, fs_ex5, bands_ex5)\n", + "band_imcoh_ex5 = compute_all_band_imaginary_coherence(x_ex5, y_ex5, fs_ex5, bands_ex5, absolute=True)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "x_pos_ex5 = np.arange(len(bands_ex5))\n", + "width_ex5 = 0.35\n", + "\n", + "bars1_ex5 = ax.bar(x_pos_ex5 - width_ex5/2, list(band_coh_ex5.values()), width_ex5,\n", + " label='Standard Coherence', color=COLORS['signal_1'], alpha=0.7)\n", + "bars2_ex5 = ax.bar(x_pos_ex5 + width_ex5/2, list(band_imcoh_ex5.values()), width_ex5,\n", + " label='|ImCoh|', color=COLORS['signal_2'], alpha=0.7)\n", + "\n", + "ax.set_xlabel('Frequency Band')\n", + "ax.set_ylabel('Connectivity Strength')\n", + "ax.set_title('Band Comparison: True Connectivity (Alpha) vs Artifact (Beta)')\n", + "ax.set_xticks(x_pos_ex5)\n", + "ax.set_xticklabels(bands_ex5.keys())\n", + "ax.set_ylim(0, 1)\n", + "ax.legend()\n", + "ax.grid(True, alpha=0.3, axis='y')\n", + "\n", + "# Add annotations\n", + "for i, (coh, imcoh) in enumerate(zip(band_coh_ex5.values(), band_imcoh_ex5.values())):\n", + " ax.text(i - width_ex5/2, coh + 0.02, f'{coh:.2f}', ha='center', va='bottom', fontsize=10)\n", + " ax.text(i + width_ex5/2, imcoh + 0.02, f'{imcoh:.2f}', ha='center', va='bottom', fontsize=10)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"✓ Band Coherence:\")\n", + "for band, val in band_coh_ex5.items():\n", + " print(f\" {band:6s}: {val:.3f}\")\n", + "\n", + "print(f\"\\n✓ Band |ImCoh|:\")\n", + "for band, val in band_imcoh_ex5.items():\n", + " print(f\" {band:6s}: {val:.3f}\")\n", + "\n", + "print(f\"\\n✓ Interpretation:\")\n", + "print(f\" Alpha: High coherence ({band_coh_ex5['alpha']:.3f}) + High ImCoh ({band_imcoh_ex5['alpha']:.3f})\")\n", + "print(f\" → True connectivity with lag ✓\")\n", + "print(f\" Beta: High coherence ({band_coh_ex5['beta']:.3f}) + Low ImCoh ({band_imcoh_ex5['beta']:.3f})\")\n", + "print(f\" → Volume conduction artifact ✗\")\n", + "print(f\"\\n✓ ImCoh correctly identifies which band has true connectivity!\")" + ] + }, + { + "cell_type": "markdown", + "id": "90141dbc", + "metadata": {}, + "source": [ + "---\n", + "\n", + "### Exercise 6: Matrix Comparison\n", + "\n", + "**Task**: Create 8-channel data with known connectivity structure and identify suspicious pairs.\n", + "\n", + "**Expected outcome**: Large differences identify volume conduction pairs." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "e77be9b9", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ Suspicious pairs (difference > 0.2):\n", + " Channel 0 - Channel 5: difference = 0.981\n", + " Channel 4 - Channel 6: difference = 0.965\n", + " Channel 5 - Channel 7: difference = 0.965\n", + " Channel 0 - Channel 7: difference = 0.964\n", + " Channel 0 - Channel 4: difference = 0.954\n", + " Channel 0 - Channel 6: difference = 0.951\n", + " Channel 5 - Channel 6: difference = 0.940\n", + " Channel 4 - Channel 5: difference = 0.932\n", + " Channel 6 - Channel 7: difference = 0.922\n", + " Channel 4 - Channel 7: difference = 0.922\n", + " Channel 1 - Channel 7: difference = 0.539\n", + " Channel 1 - Channel 5: difference = 0.535\n", + " Channel 0 - Channel 1: difference = 0.532\n", + " Channel 1 - Channel 2: difference = 0.521\n", + " Channel 1 - Channel 6: difference = 0.497\n", + " Channel 1 - Channel 4: difference = 0.495\n", + " Channel 2 - Channel 3: difference = 0.441\n", + "\n", + "✓ These are likely volume conduction artifacts!\n", + "✓ Pairs with small differences have true lagged connectivity.\n" + ] + } + ], + "source": [ + "# Solution - Exercise 6: Matrix Comparison\n", + "np.random.seed(202)\n", + "n_ch_ex6 = 8\n", + "n_samples_ex6 = 3000\n", + "fs_ex6 = 500\n", + "t_ex6 = np.arange(n_samples_ex6) / fs_ex6\n", + "\n", + "data_ex6 = np.zeros((n_ch_ex6, n_samples_ex6))\n", + "alpha_source = np.sin(2 * np.pi * 10 * t_ex6)\n", + "\n", + "# Channels 0-3: true connectivity with lags\n", + "for i in range(4):\n", + " lag = i * 5\n", + " data_ex6[i] = np.roll(alpha_source, lag) + 0.3 * np.random.randn(n_samples_ex6)\n", + "\n", + "# Channels 4-7: add volume conduction from pairs (0,4), (1,5), etc.\n", + "for i in range(4):\n", + " data_ex6[i + 4] = 0.5 * alpha_source + 0.3 * np.random.randn(n_samples_ex6)\n", + " # Also add some coupling to original channel (creates volume conduction pair)\n", + " data_ex6[i] += 0.3 * alpha_source\n", + "\n", + "# Compute matrices manually\n", + "coh_matrix_ex6 = np.zeros((n_ch_ex6, n_ch_ex6))\n", + "imcoh_matrix_ex6 = np.zeros((n_ch_ex6, n_ch_ex6))\n", + "\n", + "for i in range(n_ch_ex6):\n", + " for j in range(i, n_ch_ex6):\n", + " if i == j:\n", + " coh_matrix_ex6[i, j] = 1.0\n", + " imcoh_matrix_ex6[i, j] = 0.0\n", + " else:\n", + " coh_val = compute_band_coherence(data_ex6[i], data_ex6[j], fs_ex6, band=(8, 13))\n", + " imcoh_val = compute_band_imaginary_coherence(\n", + " data_ex6[i], data_ex6[j], fs_ex6, band=(8, 13), absolute=True\n", + " )\n", + " coh_matrix_ex6[i, j] = coh_val\n", + " coh_matrix_ex6[j, i] = coh_val\n", + " imcoh_matrix_ex6[i, j] = imcoh_val\n", + " imcoh_matrix_ex6[j, i] = imcoh_val\n", + "\n", + "# Compute difference\n", + "diff_matrix_ex6 = coh_matrix_ex6 - imcoh_matrix_ex6\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4.5))\n", + "\n", + "# Coherence\n", + "ax = axes[0]\n", + "im = ax.imshow(coh_matrix_ex6, cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('Standard Coherence\\n(Alpha Band)')\n", + "ax.set_xlabel('Channel')\n", + "ax.set_ylabel('Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "# ImCoh\n", + "ax = axes[1]\n", + "im = ax.imshow(imcoh_matrix_ex6, cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('|Imaginary Coherence|\\n(Alpha Band)')\n", + "ax.set_xlabel('Channel')\n", + "ax.set_ylabel('Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "# Difference\n", + "ax = axes[2]\n", + "im = ax.imshow(diff_matrix_ex6, cmap='Reds', vmin=0, vmax=0.5)\n", + "ax.set_title('Difference: Coh - |ImCoh|\\n(Highlights Artifacts)')\n", + "ax.set_xlabel('Channel')\n", + "ax.set_ylabel('Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046, label='Artifact Strength')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Find suspicious pairs\n", + "threshold = 0.2\n", + "suspicious_pairs = []\n", + "for i in range(n_ch_ex6):\n", + " for j in range(i + 1, n_ch_ex6):\n", + " if diff_matrix_ex6[i, j] > threshold:\n", + " suspicious_pairs.append((i, j, diff_matrix_ex6[i, j]))\n", + "\n", + "print(f\"✓ Suspicious pairs (difference > {threshold}):\")\n", + "for i, j, diff in sorted(suspicious_pairs, key=lambda x: x[2], reverse=True):\n", + " print(f\" Channel {i} - Channel {j}: difference = {diff:.3f}\")\n", + "\n", + "print(f\"\\n✓ These are likely volume conduction artifacts!\")\n", + "print(f\"✓ Pairs with small differences have true lagged connectivity.\")" + ] + }, + { + "cell_type": "markdown", + "id": "def359ab", + "metadata": {}, + "source": [ + "---\n", + "\n", + "### Exercise 7: Hyperscanning Application\n", + "\n", + "**Task**: Create realistic two-participant data and apply hyperscanning analysis.\n", + "\n", + "**Expected outcome**: Within-brain: ImCoh << Coherence. Between-brain: both detect true connectivity." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "53f2f177", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "✓ Within P1 (Alpha Band):\n", + " Standard Coherence: 0.996\n", + " |ImCoh|: 0.565\n", + " Ratio: 0.57 (ImCoh << Coherence)\n", + "\n", + "✓ Between P1-P2 (Alpha Band):\n", + " Standard Coherence: 0.995\n", + " |ImCoh|: 0.607\n", + " Ratio: 0.61 (More similar)\n", + "\n", + "✓ Key findings:\n", + " - Within-brain: ImCoh successfully removes volume conduction\n", + " - Between-brain: Both metrics detect true connectivity\n", + " - No volume conduction possible between different brains!\n", + " - ImCoh provides clean, conservative hyperscanning estimates ✓\n" + ] + } + ], + "source": [ + "# Solution - Exercise 7: Hyperscanning Application\n", + "np.random.seed(303)\n", + "n_ch_p1_ex7 = 4\n", + "n_ch_p2_ex7 = 4\n", + "n_samples_ex7 = 4000\n", + "fs_ex7 = 500\n", + "t_ex7 = np.arange(n_samples_ex7) / fs_ex7\n", + "\n", + "# Participant 1\n", + "data_p1_ex7 = np.zeros((n_ch_p1_ex7, n_samples_ex7))\n", + "alpha_p1_ex7 = np.sin(2 * np.pi * 10 * t_ex7)\n", + "# True connectivity with lag\n", + "for i in range(n_ch_p1_ex7):\n", + " lag_p1 = i * 4\n", + " data_p1_ex7[i] = np.roll(alpha_p1_ex7, lag_p1) + 0.3 * np.random.randn(n_samples_ex7)\n", + " # Add volume conduction (zero-lag)\n", + " data_p1_ex7[i] += 0.4 * alpha_p1_ex7\n", + "\n", + "# Participant 2\n", + "data_p2_ex7 = np.zeros((n_ch_p2_ex7, n_samples_ex7))\n", + "alpha_p2_ex7 = np.sin(2 * np.pi * 10 * t_ex7 + np.pi/4)\n", + "for i in range(n_ch_p2_ex7):\n", + " lag_p2 = i * 4\n", + " data_p2_ex7[i] = np.roll(alpha_p2_ex7, lag_p2) + 0.3 * np.random.randn(n_samples_ex7)\n", + " data_p2_ex7[i] += 0.4 * alpha_p2_ex7\n", + "\n", + "# Add between-brain connectivity (P1 ch0 influences P2 ch0)\n", + "data_p2_ex7[0] += 0.3 * np.roll(data_p1_ex7[0], 12)\n", + "\n", + "# Compute standard coherence manually\n", + "data_combined_ex7 = np.vstack([data_p1_ex7, data_p2_ex7])\n", + "n_total_ex7 = n_ch_p1_ex7 + n_ch_p2_ex7\n", + "coh_hyper_ex7 = np.zeros((n_total_ex7, n_total_ex7))\n", + "\n", + "for i in range(n_total_ex7):\n", + " for j in range(i, n_total_ex7):\n", + " if i == j:\n", + " coh_hyper_ex7[i, j] = 1.0\n", + " else:\n", + " coh_val = compute_band_coherence(\n", + " data_combined_ex7[i], data_combined_ex7[j], fs_ex7, band=(8, 13)\n", + " )\n", + " coh_hyper_ex7[i, j] = coh_val\n", + " coh_hyper_ex7[j, i] = coh_val\n", + "\n", + "# Compute ImCoh\n", + "imcoh_hyper_ex7 = compute_imaginary_coherence_hyperscanning(\n", + " data_p1_ex7, data_p2_ex7, fs_ex7, band=(8, 13), absolute=True\n", + ")\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 11))\n", + "\n", + "# Coherence - Within P1\n", + "ax = axes[0, 0]\n", + "im = ax.imshow(coh_hyper_ex7[:n_ch_p1_ex7, :n_ch_p1_ex7], cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('Standard Coherence\\nWithin P1')\n", + "ax.set_xlabel('P1 Channel')\n", + "ax.set_ylabel('P1 Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "# Coherence - Between\n", + "ax = axes[0, 1]\n", + "im = ax.imshow(coh_hyper_ex7[:n_ch_p1_ex7, n_ch_p1_ex7:], cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('Standard Coherence\\nBetween P1-P2')\n", + "ax.set_xlabel('P2 Channel')\n", + "ax.set_ylabel('P1 Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "# ImCoh - Within P1\n", + "ax = axes[1, 0]\n", + "im = ax.imshow(imcoh_hyper_ex7['within_p1'], cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('|Imaginary Coherence|\\nWithin P1')\n", + "ax.set_xlabel('P1 Channel')\n", + "ax.set_ylabel('P1 Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "# ImCoh - Between\n", + "ax = axes[1, 1]\n", + "im = ax.imshow(imcoh_hyper_ex7['between'], cmap='RdYlBu_r', vmin=0, vmax=1)\n", + "ax.set_title('|Imaginary Coherence|\\nBetween P1-P2')\n", + "ax.set_xlabel('P2 Channel')\n", + "ax.set_ylabel('P1 Channel')\n", + "plt.colorbar(im, ax=ax, fraction=0.046)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Compare\n", + "within_coh_ex7 = np.mean(coh_hyper_ex7[:n_ch_p1_ex7, :n_ch_p1_ex7][np.triu_indices(n_ch_p1_ex7, k=1)])\n", + "within_imcoh_ex7 = np.mean(imcoh_hyper_ex7['within_p1'][np.triu_indices(n_ch_p1_ex7, k=1)])\n", + "between_coh_ex7 = np.mean(coh_hyper_ex7[:n_ch_p1_ex7, n_ch_p1_ex7:])\n", + "between_imcoh_ex7 = np.mean(imcoh_hyper_ex7['between'])\n", + "\n", + "print(f\"✓ Within P1 (Alpha Band):\")\n", + "print(f\" Standard Coherence: {within_coh_ex7:.3f}\")\n", + "print(f\" |ImCoh|: {within_imcoh_ex7:.3f}\")\n", + "print(f\" Ratio: {within_imcoh_ex7/within_coh_ex7:.2f} (ImCoh << Coherence)\")\n", + "\n", + "print(f\"\\n✓ Between P1-P2 (Alpha Band):\")\n", + "print(f\" Standard Coherence: {between_coh_ex7:.3f}\")\n", + "print(f\" |ImCoh|: {between_imcoh_ex7:.3f}\")\n", + "print(f\" Ratio: {between_imcoh_ex7/between_coh_ex7:.2f} (More similar)\")\n", + "\n", + "print(f\"\\n✓ Key findings:\")\n", + "print(f\" - Within-brain: ImCoh successfully removes volume conduction\")\n", + "print(f\" - Between-brain: Both metrics detect true connectivity\")\n", + "print(f\" - No volume conduction possible between different brains!\")\n", + "print(f\" - ImCoh provides clean, conservative hyperscanning estimates ✓\")" + ] + }, + { + "cell_type": "markdown", + "id": "242bc1c5", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## 13. Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "**The Problem**\n", + "- Standard coherence uses magnitude: |S_xy| / √(S_xx × S_yy)\n", + "- Volume conduction creates zero-lag correlations → high coherence\n", + "- Cannot distinguish true connectivity from artifacts\n", + "\n", + "**The Solution**\n", + "- Imaginary coherence: ImCoh = Im(S_xy) / √(S_xx × S_yy)\n", + "- Uses only imaginary part of cross-spectrum\n", + "- **Volume conduction → zero lag → zero imaginary part → ImCoh ≈ 0** ✓\n", + "- **True connectivity → non-zero lag → non-zero imaginary part → ImCoh ≠ 0** ✓\n", + "\n", + "**Properties**\n", + "- Range: -1 to +1 (signed) or 0 to 1 (absolute value)\n", + "- Sign indicates phase lead/lag direction\n", + "- Signed ImCoh is antisymmetric: ImCoh(X,Y) = -ImCoh(Y,X)\n", + "- Absolute |ImCoh| matrix is symmetric\n", + "\n", + "**Trade-offs**\n", + "- ✓ Removes volume conduction artifacts\n", + "- ✓ Conservative, trustworthy estimates\n", + "- ✓ Better for publication/replication\n", + "- ✗ Misses true instantaneous coupling\n", + "- ✗ Lower sensitivity than standard coherence\n", + "- ✗ Sign interpretation can be tricky\n", + "\n", + "**Hyperscanning Context**\n", + "- Within-brain: ImCoh essential (removes volume conduction)\n", + "- Between-brain: Either metric works (no volume conduction between people!)\n", + "- Best practice: compute both, compare differences\n", + "\n", + "**When to Use**\n", + "- Dense electrode arrays → use ImCoh\n", + "- Sparse sensors, low artifact risk → either metric OK\n", + "- Between-brain only → standard coherence sufficient\n", + "- **Always report both when possible** → differences reveal artifacts\n", + "\n", + "### References\n", + "\n", + "- Nolte, G., Bai, O., Wheaton, L., Mari, Z., Vorbach, S., & Hallett, M. (2004). **Identifying true brain interaction from EEG data using the imaginary part of coherency.** *Clinical Neurophysiology*, 115(10), 2292-2307.\n", + "\n", + "- Bruña, R., Maestú, F., & Pereda, E. (2018). **Phase locking value revisited: teaching new tricks to an old dog.** *Journal of Neural Engineering*, 15(5), 056011.\n", + "\n", + "### What's Next?\n", + "\n", + "In the following notebooks, we'll explore:\n", + "- **Phase-based metrics** (PLV, PLI, wPLI) - complementary approaches\n", + "- **Amplitude-based metrics** (envelope correlation, power correlation)\n", + "- **Information-theoretic metrics** (mutual information, transfer entropy)\n", + "- **Graph theory applications** for network analysis\n", + "\n", + "Each metric has different strengths - imaginary coherence is just one tool in your connectivity analysis toolbox!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "connectivity-metrics-tutorials-py3.12", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/G_phase_based/G01_phase_locking_value.ipynb b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/G_phase_based/G01_phase_locking_value.ipynb new file mode 100644 index 0000000..42619bb --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/G_phase_based/G01_phase_locking_value.ipynb @@ -0,0 +1,2018 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# G01: Phase Locking Value (PLV)\n", + "\n", + "**Duration**: 65 minutes \n", + "**Prerequisites**: B01 (Hilbert Transform), B02 (Working with Phase), E02 (Introduction to Hyperscanning) \n", + "**Next**: G02 (Phase Lag Index)\n", + "\n", + "---\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "1. Define phase locking value as consistency of phase difference\n", + "2. Implement PLV computation from instantaneous phases\n", + "3. Interpret PLV values (0 = no locking, 1 = perfect locking)\n", + "4. Understand PLV's sensitivity to volume conduction\n", + "5. Compute time-resolved PLV for dynamic connectivity\n", + "6. Build PLV matrices for multi-channel analysis\n", + "7. Apply PLV to hyperscanning inter-brain synchrony" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Required imports\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "from scipy.stats import pearsonr\n", + "from typing import Tuple, Any\n", + "\n", + "# Set random seed for reproducibility\n", + "np.random.seed(42)\n", + "\n", + "# Plotting style\n", + "plt.style.use('seaborn-v0_8-whitegrid')\n", + "plt.rcParams['figure.figsize'] = (12, 6)\n", + "plt.rcParams['font.size'] = 11\n", + "\n", + "# Color palette\n", + "COLORS = {\n", + " 'signal_1': '#2E86AB',\n", + " 'signal_2': '#E94F37',\n", + " 'subject_1': '#2E86AB',\n", + " 'subject_2': '#A23B72',\n", + " 'highlight': '#F18F01',\n", + " 'warning': '#C73E1D'\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 1: Introduction — Are the Phases Locked?\n", + "\n", + "In our previous explorations, we learned about instantaneous phase—the position of a signal within its oscillation cycle at any given moment. Now we face a fundamental question: **Do two signals oscillate \"together\"?**\n", + "\n", + "**Phase locking** refers to a consistent phase relationship over time. Importantly, this doesn't necessarily mean zero phase difference! Two signals could be 90° apart, but if they're *consistently* 90° apart, they're phase locked. The key is consistency, not identity.\n", + "\n", + "Think of two dancers performing together. They're phase locked if they always maintain the same relative position in their movements—whether perfectly in sync or offset by a fixed amount. They're *not* phase locked if they're sometimes together, sometimes apart, with no consistent pattern.\n", + "\n", + "**Why does PLV matter for neuroscience?** Neural communication is believed to occur through oscillations. When brain regions need to communicate, their oscillations become coherent—aligned in phase—enabling information transfer. PLV captures this functional connectivity by measuring the consistency of phase relationships.\n", + "\n", + "> **Key message**: \"PLV measures how consistently two signals maintain their phase relationship.\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 1: Phase-locked vs not phase-locked signals\n", + "\n", + "def generate_signals_demo(n_samples: int, fs: float, freq: float, \n", + " phase_locked: bool, seed: int = 42) -> Tuple[NDArray, NDArray]:\n", + " \"\"\"Generate demo signals that are either phase-locked or not.\"\"\"\n", + " np.random.seed(seed)\n", + " t = np.arange(n_samples) / fs\n", + " \n", + " x = np.sin(2 * np.pi * freq * t)\n", + " \n", + " if phase_locked:\n", + " # Constant phase offset\n", + " phase_offset = np.pi / 4 # 45 degrees\n", + " y = np.sin(2 * np.pi * freq * t + phase_offset)\n", + " else:\n", + " # Variable phase offset (random walk)\n", + " phase_noise = np.cumsum(np.random.randn(n_samples) * 0.1)\n", + " y = np.sin(2 * np.pi * freq * t + phase_noise)\n", + " \n", + " return x, y, t\n", + "\n", + "def extract_phase(sig: NDArray) -> NDArray:\n", + " \"\"\"Extract instantaneous phase using Hilbert transform.\"\"\"\n", + " analytic = signal.hilbert(sig)\n", + " return np.angle(analytic)\n", + "\n", + "# Generate both scenarios\n", + "fs, freq, duration = 500, 10, 2 # Hz, Hz, seconds\n", + "n_samples = int(fs * duration)\n", + "\n", + "x_locked, y_locked, t = generate_signals_demo(n_samples, fs, freq, phase_locked=True)\n", + "x_unlocked, y_unlocked, _ = generate_signals_demo(n_samples, fs, freq, phase_locked=False)\n", + "\n", + "# Extract phases and compute differences\n", + "phase_x_locked = extract_phase(x_locked)\n", + "phase_y_locked = extract_phase(y_locked)\n", + "phase_diff_locked = phase_x_locked - phase_y_locked\n", + "\n", + "phase_x_unlocked = extract_phase(x_unlocked)\n", + "phase_y_unlocked = extract_phase(y_unlocked)\n", + "phase_diff_unlocked = phase_x_unlocked - phase_y_unlocked\n", + "\n", + "# Compute PLV for both\n", + "plv_locked = np.abs(np.mean(np.exp(1j * phase_diff_locked)))\n", + "plv_unlocked = np.abs(np.mean(np.exp(1j * phase_diff_unlocked)))\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Left: Phase-locked signals\n", + "axes[0, 0].plot(t, x_locked, color=COLORS['signal_1'], label='Signal X', alpha=0.8)\n", + "axes[0, 0].plot(t, y_locked, color=COLORS['signal_2'], label='Signal Y', alpha=0.8)\n", + "axes[0, 0].set_title(f'Phase-Locked Signals (PLV = {plv_locked:.3f})', fontweight='bold')\n", + "axes[0, 0].set_xlabel('Time (s)')\n", + "axes[0, 0].set_ylabel('Amplitude')\n", + "axes[0, 0].legend()\n", + "axes[0, 0].set_xlim([0, 0.5])\n", + "\n", + "axes[1, 0].plot(t, np.mod(phase_diff_locked + np.pi, 2*np.pi) - np.pi, \n", + " color=COLORS['highlight'], linewidth=1)\n", + "axes[1, 0].axhline(y=0, color='gray', linestyle='--', alpha=0.5)\n", + "axes[1, 0].set_title('Phase Difference (Constant)', fontweight='bold')\n", + "axes[1, 0].set_xlabel('Time (s)')\n", + "axes[1, 0].set_ylabel('Δφ (rad)')\n", + "axes[1, 0].set_ylim([-np.pi, np.pi])\n", + "\n", + "# Right: Not phase-locked signals\n", + "axes[0, 1].plot(t, x_unlocked, color=COLORS['signal_1'], label='Signal X', alpha=0.8)\n", + "axes[0, 1].plot(t, y_unlocked, color=COLORS['signal_2'], label='Signal Y', alpha=0.8)\n", + "axes[0, 1].set_title(f'Not Phase-Locked Signals (PLV = {plv_unlocked:.3f})', fontweight='bold')\n", + "axes[0, 1].set_xlabel('Time (s)')\n", + "axes[0, 1].set_ylabel('Amplitude')\n", + "axes[0, 1].legend()\n", + "axes[0, 1].set_xlim([0, 0.5])\n", + "\n", + "axes[1, 1].plot(t, np.mod(phase_diff_unlocked + np.pi, 2*np.pi) - np.pi, \n", + " color=COLORS['highlight'], linewidth=1)\n", + "axes[1, 1].axhline(y=0, color='gray', linestyle='--', alpha=0.5)\n", + "axes[1, 1].set_title('Phase Difference (Variable)', fontweight='bold')\n", + "axes[1, 1].set_xlabel('Time (s)')\n", + "axes[1, 1].set_ylabel('Δφ (rad)')\n", + "axes[1, 1].set_ylim([-np.pi, np.pi])\n", + "\n", + "plt.tight_layout()\n", + "plt.suptitle('Phase Locking: Consistent vs Variable Phase Difference', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 2: The Mathematics of PLV\n", + "\n", + "Let's formalize what we mean by phase locking. Given two signals with instantaneous phases φ_x(t) and φ_y(t), we define the **phase difference**:\n", + "\n", + "$$\\Delta\\phi(t) = \\phi_x(t) - \\phi_y(t)$$\n", + "\n", + "The clever insight is to represent each phase difference as a **unit vector** in the complex plane:\n", + "\n", + "$$e^{i\\Delta\\phi(t)}$$\n", + "\n", + "This vector lives on the unit circle—its magnitude is always 1, and its angle equals the phase difference. Now, the **Phase Locking Value** is defined as:\n", + "\n", + "$$PLV = \\left| \\frac{1}{N} \\sum_{t=1}^{N} e^{i(\\phi_x(t) - \\phi_y(t))} \\right|$$\n", + "\n", + "**Interpretation**: We average all the unit vectors over time, then take the magnitude of the result.\n", + "\n", + "- If phase differences are **consistent** (vectors point in similar directions) → large resultant → **high PLV**\n", + "- If phase differences are **random** (vectors point everywhere) → vectors cancel → **low PLV**\n", + "\n", + "**Key properties**:\n", + "- Range: 0 to 1\n", + "- PLV = 1: perfect phase locking (constant Δφ)\n", + "- PLV = 0: no phase locking (uniformly random Δφ)\n", + "- PLV is **independent of the actual phase difference value**—it measures only consistency" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 2: Unit circle diagrams showing PLV as vector resultant\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# Generate phase differences for both scenarios\n", + "n_points = 50\n", + "\n", + "# Phase-locked: consistent phase difference with small jitter\n", + "np.random.seed(42)\n", + "phase_diff_clustered = np.pi/4 + np.random.randn(n_points) * 0.2\n", + "\n", + "# Not locked: random phase differences\n", + "phase_diff_spread = np.random.uniform(-np.pi, np.pi, n_points)\n", + "\n", + "for ax, phase_diffs, title in [(axes[0], phase_diff_clustered, 'Phase-Locked'),\n", + " (axes[1], phase_diff_spread, 'Not Phase-Locked')]:\n", + " # Draw unit circle\n", + " theta = np.linspace(0, 2*np.pi, 100)\n", + " ax.plot(np.cos(theta), np.sin(theta), 'k-', alpha=0.3, linewidth=1)\n", + " \n", + " # Plot individual unit vectors as points on circle\n", + " x_points = np.cos(phase_diffs)\n", + " y_points = np.sin(phase_diffs)\n", + " ax.scatter(x_points, y_points, c=COLORS['signal_1'], alpha=0.6, s=30, zorder=3)\n", + " \n", + " # Compute and plot resultant vector\n", + " resultant = np.mean(np.exp(1j * phase_diffs))\n", + " plv = np.abs(resultant)\n", + " \n", + " ax.arrow(0, 0, resultant.real * 0.95, resultant.imag * 0.95,\n", + " head_width=0.08, head_length=0.05, fc=COLORS['highlight'], \n", + " ec=COLORS['highlight'], linewidth=3, zorder=4)\n", + " \n", + " ax.set_xlim(-1.3, 1.3)\n", + " ax.set_ylim(-1.3, 1.3)\n", + " ax.set_aspect('equal')\n", + " ax.axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + " ax.axvline(x=0, color='gray', linestyle='-', alpha=0.3)\n", + " ax.set_xlabel('Real')\n", + " ax.set_ylabel('Imaginary')\n", + " ax.set_title(f'{title}\\nPLV = {plv:.3f}', fontweight='bold', fontsize=12)\n", + "\n", + "plt.suptitle('PLV as Resultant Vector Length on Unit Circle', fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 3: Mathematical diagram showing PLV computation\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n", + "\n", + "# Use a small number of vectors for clarity\n", + "n_vectors = 8\n", + "np.random.seed(123)\n", + "phase_diffs = np.pi/3 + np.random.randn(n_vectors) * 0.3 # Clustered around π/3\n", + "\n", + "# Panel 1: Individual unit vectors\n", + "ax = axes[0]\n", + "theta = np.linspace(0, 2*np.pi, 100)\n", + "ax.plot(np.cos(theta), np.sin(theta), 'k-', alpha=0.3)\n", + "\n", + "colors = plt.cm.viridis(np.linspace(0.2, 0.8, n_vectors))\n", + "for i, pd in enumerate(phase_diffs):\n", + " ax.arrow(0, 0, np.cos(pd)*0.9, np.sin(pd)*0.9, \n", + " head_width=0.06, head_length=0.04, fc=colors[i], ec=colors[i], linewidth=2)\n", + "\n", + "ax.set_xlim(-1.2, 1.2)\n", + "ax.set_ylim(-1.2, 1.2)\n", + "ax.set_aspect('equal')\n", + "ax.set_title('Step 1: Unit Vectors\\n$e^{i\\\\Delta\\\\phi(t)}$', fontweight='bold')\n", + "ax.set_xlabel('Real')\n", + "ax.set_ylabel('Imaginary')\n", + "\n", + "# Panel 2: Sum of vectors (head-to-tail)\n", + "ax = axes[1]\n", + "ax.plot(np.cos(theta), np.sin(theta), 'k-', alpha=0.3)\n", + "\n", + "# Show head-to-tail addition\n", + "cumsum = np.cumsum(np.exp(1j * phase_diffs))\n", + "cumsum = np.insert(cumsum, 0, 0)\n", + "\n", + "for i in range(len(phase_diffs)):\n", + " ax.plot([cumsum[i].real, cumsum[i+1].real], \n", + " [cumsum[i].imag, cumsum[i+1].imag], \n", + " color=colors[i], linewidth=2, alpha=0.7)\n", + "\n", + "# Final resultant\n", + "final = cumsum[-1]\n", + "ax.arrow(0, 0, final.real*0.95, final.imag*0.95,\n", + " head_width=0.15, head_length=0.1, fc=COLORS['highlight'], \n", + " ec=COLORS['highlight'], linewidth=3)\n", + "\n", + "ax.set_xlim(-1.5, max(2, final.real + 1))\n", + "ax.set_ylim(-1.5, max(2, final.imag + 1))\n", + "ax.set_aspect('equal')\n", + "ax.set_title('Step 2: Sum Vectors\\n$\\\\sum e^{i\\\\Delta\\\\phi(t)}$', fontweight='bold')\n", + "ax.set_xlabel('Real')\n", + "ax.set_ylabel('Imaginary')\n", + "\n", + "# Panel 3: Final PLV\n", + "ax = axes[2]\n", + "plv = np.abs(final) / n_vectors\n", + "\n", + "ax.bar(['PLV'], [plv], color=COLORS['highlight'], edgecolor='black', linewidth=2)\n", + "ax.axhline(y=1, color='gray', linestyle='--', alpha=0.5, label='Maximum')\n", + "ax.axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "ax.set_ylim(0, 1.1)\n", + "ax.set_title(f'Step 3: Magnitude / N\\nPLV = {plv:.3f}', fontweight='bold')\n", + "ax.set_ylabel('PLV Value')\n", + "\n", + "plt.suptitle('PLV Computation Visualized', fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 3: Implementing PLV\n", + "\n", + "Now let's implement PLV computation step by step. The pipeline is:\n", + "\n", + "1. **Band-pass filter** both signals (focus on frequency of interest)\n", + "2. **Extract instantaneous phase** using Hilbert transform\n", + "3. **Compute phase difference**: Δφ(t) = φ_x(t) - φ_y(t)\n", + "4. **Convert to unit vectors**: e^(iΔφ(t))\n", + "5. **Average across time**\n", + "6. **Take magnitude**: PLV = |average|\n", + "\n", + "⚠️ **Critical**: You must filter first! PLV computed on broadband signals is meaningless—the phases of different frequency components would mix chaotically." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 1: compute_plv\n", + "\n", + "def compute_plv(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " filter_order: int = 4\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Phase Locking Value between two signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal (1D array).\n", + " y : NDArray[np.float64]\n", + " Second signal (1D array).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band of interest (low, high) in Hz.\n", + " filter_order : int, optional\n", + " Order of the Butterworth filter (default: 4).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Phase Locking Value between 0 and 1.\n", + " \n", + " Notes\n", + " -----\n", + " PLV = |mean(exp(i * (phase_x - phase_y)))|\n", + " \"\"\"\n", + " # Design bandpass filter\n", + " nyq = fs / 2\n", + " low, high = band[0] / nyq, band[1] / nyq\n", + " b, a = signal.butter(filter_order, [low, high], btype='band')\n", + " \n", + " # Filter signals\n", + " x_filt = signal.filtfilt(b, a, x)\n", + " y_filt = signal.filtfilt(b, a, y)\n", + " \n", + " # Extract phases via Hilbert transform\n", + " phase_x = np.angle(signal.hilbert(x_filt))\n", + " phase_y = np.angle(signal.hilbert(y_filt))\n", + " \n", + " # Compute PLV\n", + " phase_diff = phase_x - phase_y\n", + " plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " \n", + " return float(plv)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 2: compute_plv_from_phases\n", + "\n", + "def compute_plv_from_phases(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute PLV from pre-computed phases.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_x : NDArray[np.float64]\n", + " Instantaneous phase of first signal (radians).\n", + " phase_y : NDArray[np.float64]\n", + " Instantaneous phase of second signal (radians).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Phase Locking Value between 0 and 1.\n", + " \n", + " Notes\n", + " -----\n", + " Use this when phases are already extracted (e.g., for efficiency\n", + " when computing PLV matrix).\n", + " \"\"\"\n", + " phase_diff = phase_x - phase_y\n", + " plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " return float(plv)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 3: compute_phase_difference\n", + "\n", + "def compute_phase_difference(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64],\n", + " wrap: bool = True\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute phase difference time series.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_x : NDArray[np.float64]\n", + " Instantaneous phase of first signal (radians).\n", + " phase_y : NDArray[np.float64]\n", + " Instantaneous phase of second signal (radians).\n", + " wrap : bool, optional\n", + " If True, wrap result to [-π, π] (default: True).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Phase difference time series.\n", + " \"\"\"\n", + " phase_diff = phase_x - phase_y\n", + " \n", + " if wrap:\n", + " # Wrap to [-π, π]\n", + " phase_diff = np.mod(phase_diff + np.pi, 2 * np.pi) - np.pi\n", + " \n", + " return phase_diff" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: PLV computation pipeline\n", + "\n", + "# Generate example signals\n", + "fs = 500\n", + "duration = 2\n", + "n_samples = int(fs * duration)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Create signals with some phase locking in alpha band\n", + "np.random.seed(42)\n", + "freq = 10 # Hz (alpha)\n", + "\n", + "# Signal 1: Clean alpha\n", + "x = np.sin(2 * np.pi * freq * t) + 0.5 * np.random.randn(n_samples)\n", + "\n", + "# Signal 2: Alpha with consistent phase offset + noise\n", + "phase_offset = np.pi / 3\n", + "y = np.sin(2 * np.pi * freq * t + phase_offset) + 0.5 * np.random.randn(n_samples)\n", + "\n", + "# Pipeline visualization\n", + "fig, axes = plt.subplots(3, 2, figsize=(14, 10))\n", + "\n", + "# Row 1: Raw signals\n", + "axes[0, 0].plot(t, x, color=COLORS['signal_1'], alpha=0.8, label='Signal X')\n", + "axes[0, 0].plot(t, y, color=COLORS['signal_2'], alpha=0.8, label='Signal Y')\n", + "axes[0, 0].set_title('Step 1: Raw Signals', fontweight='bold')\n", + "axes[0, 0].set_xlabel('Time (s)')\n", + "axes[0, 0].set_ylabel('Amplitude')\n", + "axes[0, 0].legend()\n", + "axes[0, 0].set_xlim([0, 0.5])\n", + "\n", + "# Row 1b: Filtered signals\n", + "band = (8, 12) # Alpha band\n", + "nyq = fs / 2\n", + "b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + "x_filt = signal.filtfilt(b, a, x)\n", + "y_filt = signal.filtfilt(b, a, y)\n", + "\n", + "axes[0, 1].plot(t, x_filt, color=COLORS['signal_1'], alpha=0.8, label='X filtered')\n", + "axes[0, 1].plot(t, y_filt, color=COLORS['signal_2'], alpha=0.8, label='Y filtered')\n", + "axes[0, 1].set_title('Step 2: Bandpass Filtered (8-12 Hz)', fontweight='bold')\n", + "axes[0, 1].set_xlabel('Time (s)')\n", + "axes[0, 1].set_ylabel('Amplitude')\n", + "axes[0, 1].legend()\n", + "axes[0, 1].set_xlim([0, 0.5])\n", + "\n", + "# Row 2: Phases\n", + "phase_x = np.angle(signal.hilbert(x_filt))\n", + "phase_y = np.angle(signal.hilbert(y_filt))\n", + "\n", + "axes[1, 0].plot(t, phase_x, color=COLORS['signal_1'], alpha=0.8, label='Phase X')\n", + "axes[1, 0].plot(t, phase_y, color=COLORS['signal_2'], alpha=0.8, label='Phase Y')\n", + "axes[1, 0].set_title('Step 3: Extract Phases (Hilbert)', fontweight='bold')\n", + "axes[1, 0].set_xlabel('Time (s)')\n", + "axes[1, 0].set_ylabel('Phase (rad)')\n", + "axes[1, 0].legend()\n", + "axes[1, 0].set_xlim([0, 0.5])\n", + "\n", + "# Row 2b: Phase difference\n", + "phase_diff = compute_phase_difference(phase_x, phase_y)\n", + "\n", + "axes[1, 1].plot(t, phase_diff, color=COLORS['highlight'], alpha=0.8)\n", + "axes[1, 1].axhline(y=0, color='gray', linestyle='--', alpha=0.5)\n", + "axes[1, 1].set_title('Step 4: Phase Difference', fontweight='bold')\n", + "axes[1, 1].set_xlabel('Time (s)')\n", + "axes[1, 1].set_ylabel('Δφ (rad)')\n", + "axes[1, 1].set_ylim([-np.pi, np.pi])\n", + "\n", + "# Row 3: Unit vectors on circle\n", + "ax = axes[2, 0]\n", + "theta_circle = np.linspace(0, 2*np.pi, 100)\n", + "ax.plot(np.cos(theta_circle), np.sin(theta_circle), 'k-', alpha=0.3)\n", + "\n", + "# Plot subset of unit vectors\n", + "n_show = 100\n", + "idx = np.linspace(0, len(phase_diff)-1, n_show, dtype=int)\n", + "ax.scatter(np.cos(phase_diff[idx]), np.sin(phase_diff[idx]), \n", + " c=COLORS['signal_1'], alpha=0.3, s=20)\n", + "\n", + "# Resultant\n", + "resultant = np.mean(np.exp(1j * phase_diff))\n", + "ax.arrow(0, 0, resultant.real*0.9, resultant.imag*0.9,\n", + " head_width=0.08, head_length=0.05, fc=COLORS['highlight'], \n", + " ec=COLORS['highlight'], linewidth=3)\n", + "\n", + "ax.set_xlim(-1.3, 1.3)\n", + "ax.set_ylim(-1.3, 1.3)\n", + "ax.set_aspect('equal')\n", + "ax.set_title('Step 5: Unit Vectors & Average', fontweight='bold')\n", + "ax.set_xlabel('Real')\n", + "ax.set_ylabel('Imaginary')\n", + "\n", + "# Row 3b: Final PLV\n", + "plv = np.abs(resultant)\n", + "ax = axes[2, 1]\n", + "ax.bar(['PLV'], [plv], color=COLORS['highlight'], edgecolor='black', linewidth=2, width=0.5)\n", + "ax.axhline(y=1, color='gray', linestyle='--', alpha=0.5)\n", + "ax.set_ylim(0, 1.1)\n", + "ax.set_title(f'Step 6: Take Magnitude\\nPLV = {plv:.3f}', fontweight='bold')\n", + "ax.set_ylabel('PLV Value')\n", + "\n", + "plt.suptitle('PLV Computation Pipeline', fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 4: PLV with Controlled Examples\n", + "\n", + "Let's build intuition by exploring PLV with signals where we control the phase relationship." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 4: generate_phase_locked_signals\n", + "\n", + "def generate_phase_locked_signals(\n", + " n_samples: int,\n", + " fs: float,\n", + " frequency: float,\n", + " phase_offset: float = 0.0,\n", + " plv_target: float = 1.0,\n", + " seed: int | None = None\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Generate two signals with specified phase locking.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " frequency : float\n", + " Oscillation frequency in Hz.\n", + " phase_offset : float, optional\n", + " Constant phase offset in radians (default: 0.0).\n", + " plv_target : float, optional\n", + " Target PLV value between 0 and 1 (default: 1.0).\n", + " Values < 1 add phase noise to reduce PLV.\n", + " seed : int | None, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.float64], NDArray[np.float64]]\n", + " Two signals (x, y) with the specified phase relationship.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " t = np.arange(n_samples) / fs\n", + " \n", + " # Base phase\n", + " base_phase = 2 * np.pi * frequency * t\n", + " \n", + " # Signal X\n", + " x = np.sin(base_phase)\n", + " \n", + " # Signal Y with offset\n", + " # Add phase noise to reduce PLV below target\n", + " if plv_target < 1.0:\n", + " # Phase noise standard deviation (empirically determined)\n", + " # PLV ≈ exp(-σ²/2) for wrapped normal distribution\n", + " sigma = np.sqrt(-2 * np.log(max(plv_target, 0.01)))\n", + " phase_noise = np.random.randn(n_samples) * sigma\n", + " else:\n", + " phase_noise = 0\n", + " \n", + " y = np.sin(base_phase + phase_offset + phase_noise)\n", + " \n", + " return x, y" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: Grid of PLV examples\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 8))\n", + "\n", + "fs = 500\n", + "n_samples = 5000\n", + "freq = 10\n", + "band = (8, 12)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "examples = [\n", + " {'phase_offset': 0.0, 'plv_target': 1.0, 'title': 'Identical (Δφ=0, PLV≈1)'},\n", + " {'phase_offset': np.pi/2, 'plv_target': 1.0, 'title': '90° Offset (PLV≈1)'},\n", + " {'phase_offset': np.pi/4, 'plv_target': 0.7, 'title': 'Partial Lock (PLV≈0.7)'},\n", + " {'phase_offset': 0.0, 'plv_target': 0.5, 'title': 'Weak Lock (PLV≈0.5)'},\n", + " {'phase_offset': 0.0, 'plv_target': 0.2, 'title': 'Very Weak (PLV≈0.2)'},\n", + " {'phase_offset': 0.0, 'plv_target': 0.05, 'title': 'No Lock (PLV≈0)'},\n", + "]\n", + "\n", + "for ax, ex in zip(axes.flat, examples):\n", + " x, y = generate_phase_locked_signals(\n", + " n_samples, fs, freq, \n", + " phase_offset=ex['phase_offset'],\n", + " plv_target=ex['plv_target'],\n", + " seed=42\n", + " )\n", + " \n", + " # Compute actual PLV\n", + " plv = compute_plv(x, y, fs, band)\n", + " \n", + " # Plot signals (short segment)\n", + " show_samples = int(0.5 * fs)\n", + " ax.plot(t[:show_samples], x[:show_samples], color=COLORS['signal_1'], \n", + " alpha=0.8, label='X')\n", + " ax.plot(t[:show_samples], y[:show_samples], color=COLORS['signal_2'], \n", + " alpha=0.8, label='Y')\n", + " \n", + " ax.set_title(f\"{ex['title']}\\nMeasured PLV = {plv:.3f}\", fontweight='bold')\n", + " ax.set_xlabel('Time (s)')\n", + " ax.set_ylabel('Amplitude')\n", + " ax.legend(loc='upper right', fontsize=8)\n", + "\n", + "plt.suptitle('PLV for Different Phase Relationships', fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6: PLV vs noise level\n", + "\n", + "plv_targets = np.linspace(0.05, 1.0, 20)\n", + "measured_plvs = []\n", + "\n", + "for target in plv_targets:\n", + " x, y = generate_phase_locked_signals(\n", + " n_samples=10000, fs=500, frequency=10,\n", + " plv_target=target, seed=42\n", + " )\n", + " plv = compute_plv(x, y, fs=500, band=(8, 12))\n", + " measured_plvs.append(plv)\n", + "\n", + "plt.figure(figsize=(10, 5))\n", + "plt.plot(plv_targets, measured_plvs, 'o-', color=COLORS['signal_1'], \n", + " linewidth=2, markersize=8)\n", + "plt.plot([0, 1], [0, 1], 'k--', alpha=0.5, label='Ideal')\n", + "plt.xlabel('Target PLV (controlled by phase noise)', fontsize=12)\n", + "plt.ylabel('Measured PLV', fontsize=12)\n", + "plt.title('PLV Decreases with Phase Noise', fontsize=14, fontweight='bold')\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.3)\n", + "plt.xlim(0, 1.05)\n", + "plt.ylim(0, 1.05)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 5: PLV and Volume Conduction\n", + "\n", + "⚠️ **Critical Limitation**: PLV is sensitive to **volume conduction**.\n", + "\n", + "**The problem**: When electrical activity from a single brain source spreads through the conductive tissue to multiple electrodes, those electrodes record essentially the same signal. This creates:\n", + "- Phase difference ≈ 0 (or π)\n", + "- Extremely consistent phase difference\n", + "- PLV → very high!\n", + "\n", + "But this high PLV is **spurious**—it doesn't reflect true neural connectivity, just the physics of electrical conduction.\n", + "\n", + "**Why PLV fails**: PLV measures consistency of *any* phase difference. It doesn't distinguish:\n", + "- Δφ = 0 (suspicious—likely volume conduction)\n", + "- Δφ = 30° (more believable—suggests actual signal transmission with some delay)\n", + "\n", + "**Solutions** (previewed):\n", + "- **PLI** (G02): Ignores zero-phase contributions\n", + "- **wPLI** (G03): Weights by imaginary component\n", + "\n", + "**Good news for hyperscanning**: Between-brain PLV is safe! There's no volume conduction between two separate heads. Within-brain PLV should be interpreted more cautiously." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 7 & 8: Volume conduction demonstration\n", + "\n", + "np.random.seed(42)\n", + "fs = 500\n", + "n_samples = 5000\n", + "t = np.arange(n_samples) / fs\n", + "freq = 10\n", + "band = (8, 12)\n", + "\n", + "# Source signal\n", + "source = np.sin(2 * np.pi * freq * t)\n", + "\n", + "# Volume conduction: same signal + small independent noise at two electrodes\n", + "noise_level = 0.1\n", + "electrode_1_vc = source + noise_level * np.random.randn(n_samples)\n", + "electrode_2_vc = source + noise_level * np.random.randn(n_samples)\n", + "\n", + "# True connectivity: signal with consistent delay\n", + "delay_samples = int(0.01 * fs) # 10ms delay\n", + "electrode_1_true = source + 0.3 * np.random.randn(n_samples)\n", + "electrode_2_true = np.roll(source, delay_samples) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Compute PLVs\n", + "plv_vc = compute_plv(electrode_1_vc, electrode_2_vc, fs, band)\n", + "plv_true = compute_plv(electrode_1_true, electrode_2_true, fs, band)\n", + "\n", + "# Extract phases for histograms\n", + "nyq = fs / 2\n", + "b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + "\n", + "e1_vc_filt = signal.filtfilt(b, a, electrode_1_vc)\n", + "e2_vc_filt = signal.filtfilt(b, a, electrode_2_vc)\n", + "phase_diff_vc = compute_phase_difference(\n", + " np.angle(signal.hilbert(e1_vc_filt)),\n", + " np.angle(signal.hilbert(e2_vc_filt))\n", + ")\n", + "\n", + "e1_true_filt = signal.filtfilt(b, a, electrode_1_true)\n", + "e2_true_filt = signal.filtfilt(b, a, electrode_2_true)\n", + "phase_diff_true = compute_phase_difference(\n", + " np.angle(signal.hilbert(e1_true_filt)),\n", + " np.angle(signal.hilbert(e2_true_filt))\n", + ")\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 8))\n", + "\n", + "# Row 1: Volume conduction\n", + "axes[0, 0].plot(t[:500], electrode_1_vc[:500], color=COLORS['signal_1'], label='Electrode 1')\n", + "axes[0, 0].plot(t[:500], electrode_2_vc[:500], color=COLORS['signal_2'], label='Electrode 2')\n", + "axes[0, 0].set_title('Volume Conduction: Signals', fontweight='bold')\n", + "axes[0, 0].set_xlabel('Time (s)')\n", + "axes[0, 0].legend()\n", + "\n", + "axes[0, 1].hist(phase_diff_vc, bins=50, color=COLORS['warning'], alpha=0.7, density=True)\n", + "axes[0, 1].axvline(x=0, color='black', linestyle='--', linewidth=2)\n", + "axes[0, 1].set_title('Phase Difference Distribution', fontweight='bold')\n", + "axes[0, 1].set_xlabel('Δφ (rad)')\n", + "axes[0, 1].set_xlim(-np.pi, np.pi)\n", + "\n", + "axes[0, 2].bar(['PLV'], [plv_vc], color=COLORS['warning'], edgecolor='black', width=0.5)\n", + "axes[0, 2].axhline(y=1, color='gray', linestyle='--', alpha=0.5)\n", + "axes[0, 2].set_ylim(0, 1.1)\n", + "axes[0, 2].set_title(f'PLV = {plv_vc:.3f} (SPURIOUS!)', fontweight='bold', color=COLORS['warning'])\n", + "\n", + "# Row 2: True connectivity\n", + "axes[1, 0].plot(t[:500], electrode_1_true[:500], color=COLORS['signal_1'], label='Electrode 1')\n", + "axes[1, 0].plot(t[:500], electrode_2_true[:500], color=COLORS['signal_2'], label='Electrode 2')\n", + "axes[1, 0].set_title('True Connectivity: Signals', fontweight='bold')\n", + "axes[1, 0].set_xlabel('Time (s)')\n", + "axes[1, 0].legend()\n", + "\n", + "axes[1, 1].hist(phase_diff_true, bins=50, color=COLORS['signal_1'], alpha=0.7, density=True)\n", + "axes[1, 1].axvline(x=0, color='black', linestyle='--', linewidth=2)\n", + "axes[1, 1].set_title('Phase Difference Distribution', fontweight='bold')\n", + "axes[1, 1].set_xlabel('Δφ (rad)')\n", + "axes[1, 1].set_xlim(-np.pi, np.pi)\n", + "\n", + "axes[1, 2].bar(['PLV'], [plv_true], color=COLORS['signal_1'], edgecolor='black', width=0.5)\n", + "axes[1, 2].axhline(y=1, color='gray', linestyle='--', alpha=0.5)\n", + "axes[1, 2].set_ylim(0, 1.1)\n", + "axes[1, 2].set_title(f'PLV = {plv_true:.3f} (Genuine)', fontweight='bold')\n", + "\n", + "plt.suptitle(\"PLV Can't Distinguish Volume Conduction from True Connectivity\\n(Both have high PLV!)\", \n", + " fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 6: Time-Resolved PLV\n", + "\n", + "Static PLV gives us a single value for the entire recording. But connectivity is **dynamic**—it changes over time! Time-resolved PLV tracks these changes using a sliding window approach:\n", + "\n", + "1. Extract phases for the full signal\n", + "2. Compute PLV in short windows\n", + "3. Slide the window across time\n", + "4. Get PLV time series\n", + "\n", + "**Trade-offs**:\n", + "- **Longer windows**: More stable PLV estimates, but poorer time resolution\n", + "- **Shorter windows**: Better time resolution, but noisier estimates\n", + "\n", + "Typical overlap is 50-90% to smooth the time series." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 5: compute_plv_timeseries\n", + "\n", + "def compute_plv_timeseries(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " window_sec: float = 1.0,\n", + " overlap: float = 0.5\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute time-resolved PLV using sliding windows.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal.\n", + " y : NDArray[np.float64]\n", + " Second signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " window_sec : float, optional\n", + " Window size in seconds (default: 1.0).\n", + " overlap : float, optional\n", + " Overlap fraction between windows (default: 0.5).\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.float64], NDArray[np.float64]]\n", + " (time_centers, plv_values) - Time points and corresponding PLV.\n", + " \"\"\"\n", + " # Filter and extract phases\n", + " nyq = fs / 2\n", + " b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + " x_filt = signal.filtfilt(b, a, x)\n", + " y_filt = signal.filtfilt(b, a, y)\n", + " \n", + " phase_x = np.angle(signal.hilbert(x_filt))\n", + " phase_y = np.angle(signal.hilbert(y_filt))\n", + " phase_diff = phase_x - phase_y\n", + " \n", + " # Window parameters\n", + " window_samples = int(window_sec * fs)\n", + " step_samples = int(window_samples * (1 - overlap))\n", + " \n", + " # Compute PLV in each window\n", + " time_centers = []\n", + " plv_values = []\n", + " \n", + " start = 0\n", + " while start + window_samples <= len(phase_diff):\n", + " window_phase_diff = phase_diff[start:start + window_samples]\n", + " plv = np.abs(np.mean(np.exp(1j * window_phase_diff)))\n", + " \n", + " time_center = (start + window_samples / 2) / fs\n", + " time_centers.append(time_center)\n", + " plv_values.append(plv)\n", + " \n", + " start += step_samples\n", + " \n", + " return np.array(time_centers), np.array(plv_values)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 6: compute_plv_epochs\n", + "\n", + "def compute_plv_epochs(\n", + " epochs_x: NDArray[np.float64],\n", + " epochs_y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute PLV for each epoch separately.\n", + " \n", + " Parameters\n", + " ----------\n", + " epochs_x : NDArray[np.float64]\n", + " Epochs from first signal, shape (n_epochs, n_samples).\n", + " epochs_y : NDArray[np.float64]\n", + " Epochs from second signal, shape (n_epochs, n_samples).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " PLV values for each epoch, shape (n_epochs,).\n", + " \"\"\"\n", + " n_epochs = epochs_x.shape[0]\n", + " plv_values = np.zeros(n_epochs)\n", + " \n", + " for i in range(n_epochs):\n", + " plv_values[i] = compute_plv(epochs_x[i], epochs_y[i], fs, band)\n", + " \n", + " return plv_values" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 9: Time-resolved PLV example\n", + "\n", + "# Create signals where PLV changes over time\n", + "np.random.seed(42)\n", + "fs = 500\n", + "duration = 10 # seconds\n", + "n_samples = int(fs * duration)\n", + "t = np.arange(n_samples) / fs\n", + "freq = 10\n", + "\n", + "# First half: phase locked, Second half: not locked\n", + "half = n_samples // 2\n", + "\n", + "x = np.sin(2 * np.pi * freq * t)\n", + "y = np.zeros(n_samples)\n", + "\n", + "# First half: consistent phase offset\n", + "y[:half] = np.sin(2 * np.pi * freq * t[:half] + np.pi/4)\n", + "\n", + "# Second half: random phase relationship\n", + "phase_noise = np.cumsum(np.random.randn(half) * 0.3)\n", + "y[half:] = np.sin(2 * np.pi * freq * t[half:] + phase_noise)\n", + "\n", + "# Compute time-resolved PLV\n", + "band = (8, 12)\n", + "time_centers, plv_ts = compute_plv_timeseries(x, y, fs, band, window_sec=1.0, overlap=0.8)\n", + "\n", + "# Extract phases for phase difference plot\n", + "nyq = fs / 2\n", + "b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + "x_filt = signal.filtfilt(b, a, x)\n", + "y_filt = signal.filtfilt(b, a, y)\n", + "phase_diff = compute_phase_difference(\n", + " np.angle(signal.hilbert(x_filt)),\n", + " np.angle(signal.hilbert(y_filt))\n", + ")\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 10), sharex=True)\n", + "\n", + "# Signals\n", + "axes[0].plot(t, x, color=COLORS['signal_1'], alpha=0.7, label='Signal X')\n", + "axes[0].plot(t, y, color=COLORS['signal_2'], alpha=0.7, label='Signal Y')\n", + "axes[0].axvline(x=duration/2, color='gray', linestyle='--', linewidth=2, label='PLV transition')\n", + "axes[0].set_ylabel('Amplitude')\n", + "axes[0].set_title('Signals with Changing Phase Relationship', fontweight='bold')\n", + "axes[0].legend(loc='upper right')\n", + "\n", + "# Phase difference\n", + "axes[1].plot(t, phase_diff, color=COLORS['highlight'], alpha=0.5, linewidth=0.5)\n", + "axes[1].axvline(x=duration/2, color='gray', linestyle='--', linewidth=2)\n", + "axes[1].axhline(y=0, color='gray', linestyle='-', alpha=0.3)\n", + "axes[1].set_ylabel('Δφ (rad)')\n", + "axes[1].set_ylim(-np.pi, np.pi)\n", + "axes[1].set_title('Phase Difference Over Time', fontweight='bold')\n", + "\n", + "# Time-resolved PLV\n", + "axes[2].plot(time_centers, plv_ts, color=COLORS['signal_1'], linewidth=2)\n", + "axes[2].fill_between(time_centers, 0, plv_ts, color=COLORS['signal_1'], alpha=0.3)\n", + "axes[2].axvline(x=duration/2, color='gray', linestyle='--', linewidth=2)\n", + "axes[2].axhline(y=0.5, color='gray', linestyle=':', alpha=0.5)\n", + "axes[2].set_xlabel('Time (s)')\n", + "axes[2].set_ylabel('PLV')\n", + "axes[2].set_ylim(0, 1)\n", + "axes[2].set_title('Time-Resolved PLV (1s window, 80% overlap)', fontweight='bold')\n", + "\n", + "# Add annotations\n", + "axes[2].annotate('High PLV\\n(locked)', xy=(2.5, 0.85), fontsize=11, ha='center')\n", + "axes[2].annotate('Low PLV\\n(not locked)', xy=(7.5, 0.3), fontsize=11, ha='center')\n", + "\n", + "plt.suptitle('Time-Resolved PLV Reveals Dynamic Connectivity', fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 7: PLV Matrix\n", + "\n", + "For multi-channel analysis, we compute PLV between all pairs of channels, creating a **PLV connectivity matrix**.\n", + "\n", + "**Properties**:\n", + "- **Symmetric**: PLV(X,Y) = PLV(Y,X)\n", + "- **Diagonal = 1**: A signal is perfectly locked with itself\n", + "- **Values 0 to 1**\n", + "\n", + "**Efficiency tip**: Extract phases for all channels once, then compute pairwise PLV." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 7: compute_plv_matrix\n", + "\n", + "def compute_plv_matrix(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute PLV matrix for all channel pairs.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Multi-channel data, shape (n_channels, n_samples).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " PLV matrix, shape (n_channels, n_channels).\n", + " \"\"\"\n", + " n_channels = data.shape[0]\n", + " \n", + " # Filter all channels\n", + " nyq = fs / 2\n", + " b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + " data_filt = signal.filtfilt(b, a, data, axis=1)\n", + " \n", + " # Extract phases for all channels\n", + " phases = np.angle(signal.hilbert(data_filt, axis=1))\n", + " \n", + " # Compute PLV matrix\n", + " plv_matrix = np.ones((n_channels, n_channels))\n", + " \n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " plv = compute_plv_from_phases(phases[i], phases[j])\n", + " plv_matrix[i, j] = plv\n", + " plv_matrix[j, i] = plv # Symmetric\n", + " \n", + " return plv_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 8: compute_plv_matrix_bands\n", + "\n", + "STANDARD_BANDS = {\n", + " 'delta': (1, 4),\n", + " 'theta': (4, 8),\n", + " 'alpha': (8, 13),\n", + " 'beta': (13, 30),\n", + " 'gamma': (30, 45)\n", + "}\n", + "\n", + "def compute_plv_matrix_bands(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " bands: dict[str, tuple[float, float]] | None = None\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute PLV matrices for multiple frequency bands.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Multi-channel data, shape (n_channels, n_samples).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " bands : dict[str, tuple[float, float]] | None, optional\n", + " Dictionary of band names to (low, high) frequencies.\n", + " If None, uses standard bands.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " Dictionary of band names to PLV matrices.\n", + " \"\"\"\n", + " if bands is None:\n", + " bands = STANDARD_BANDS\n", + " \n", + " return {name: compute_plv_matrix(data, fs, band) for name, band in bands.items()}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 10 & 11: PLV matrix examples\n", + "\n", + "# Generate synthetic multi-channel data with cluster structure\n", + "np.random.seed(42)\n", + "fs = 500\n", + "n_samples = 10000\n", + "n_channels = 8\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Create two clusters of phase-locked channels\n", + "# Cluster 1: channels 0-3\n", + "# Cluster 2: channels 4-7\n", + "\n", + "data = np.zeros((n_channels, n_samples))\n", + "freq = 10\n", + "\n", + "# Cluster 1: shared base signal\n", + "base_1 = np.sin(2 * np.pi * freq * t)\n", + "for i in range(4):\n", + " phase_offset = np.random.randn() * 0.1 # Small random offset within cluster\n", + " data[i] = np.sin(2 * np.pi * freq * t + phase_offset) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Cluster 2: different base signal\n", + "base_2 = np.sin(2 * np.pi * freq * t + np.pi/2) # 90° offset from cluster 1\n", + "for i in range(4, 8):\n", + " phase_offset = np.random.randn() * 0.1\n", + " data[i] = np.sin(2 * np.pi * freq * t + np.pi/2 + phase_offset) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Compute PLV matrix\n", + "plv_matrix = compute_plv_matrix(data, fs, (8, 12))\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(8, 7))\n", + "\n", + "im = ax.imshow(plv_matrix, cmap='viridis', vmin=0, vmax=1, aspect='equal')\n", + "plt.colorbar(im, ax=ax, label='PLV')\n", + "\n", + "# Add grid lines to show clusters\n", + "ax.axhline(y=3.5, color='white', linewidth=2)\n", + "ax.axvline(x=3.5, color='white', linewidth=2)\n", + "\n", + "# Labels\n", + "ax.set_xticks(range(n_channels))\n", + "ax.set_yticks(range(n_channels))\n", + "ax.set_xticklabels([f'Ch{i+1}' for i in range(n_channels)])\n", + "ax.set_yticklabels([f'Ch{i+1}' for i in range(n_channels)])\n", + "ax.set_xlabel('Channel')\n", + "ax.set_ylabel('Channel')\n", + "ax.set_title('PLV Connectivity Matrix (Alpha Band)\\nTwo clusters visible', fontweight='bold')\n", + "\n", + "# Add cluster annotations\n", + "ax.text(1.5, -0.8, 'Cluster 1', ha='center', fontsize=10, fontweight='bold')\n", + "ax.text(5.5, -0.8, 'Cluster 2', ha='center', fontsize=10, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 8: PLV for Hyperscanning\n", + "\n", + "**This is the key application!** In hyperscanning, we record brain activity from multiple people simultaneously. PLV helps us measure inter-brain synchrony—are the participants' brains oscillating together?\n", + "\n", + "**Structure**:\n", + "- **Within-P1 PLV**: Connectivity within participant 1's brain\n", + "- **Within-P2 PLV**: Connectivity within participant 2's brain \n", + "- **Between-brain PLV**: Connectivity between P1 and P2 (the exciting part!)\n", + "\n", + "**Research findings**:\n", + "- Inter-brain PLV increases during cooperation\n", + "- Predicts task success and rapport\n", + "- Different frequencies may reflect different social processes\n", + "\n", + "**PLV is the most common hyperscanning connectivity metric!**" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 9: compute_plv_hyperscanning\n", + "\n", + "def compute_plv_hyperscanning(\n", + " data_p1: NDArray[np.float64],\n", + " data_p2: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute PLV matrices for hyperscanning data.\n", + " \n", + " Parameters\n", + " ----------\n", + " data_p1 : NDArray[np.float64]\n", + " Data from participant 1, shape (n_channels_p1, n_samples).\n", + " data_p2 : NDArray[np.float64]\n", + " Data from participant 2, shape (n_channels_p2, n_samples).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " Dictionary with keys:\n", + " - 'within_p1': PLV matrix within participant 1\n", + " - 'within_p2': PLV matrix within participant 2\n", + " - 'between': PLV matrix between participants\n", + " - 'full': Full combined matrix\n", + " \"\"\"\n", + " n_ch_p1 = data_p1.shape[0]\n", + " n_ch_p2 = data_p2.shape[0]\n", + " \n", + " # Filter and extract phases\n", + " nyq = fs / 2\n", + " b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + " \n", + " data_p1_filt = signal.filtfilt(b, a, data_p1, axis=1)\n", + " data_p2_filt = signal.filtfilt(b, a, data_p2, axis=1)\n", + " \n", + " phases_p1 = np.angle(signal.hilbert(data_p1_filt, axis=1))\n", + " phases_p2 = np.angle(signal.hilbert(data_p2_filt, axis=1))\n", + " \n", + " # Within-P1 matrix\n", + " within_p1 = np.ones((n_ch_p1, n_ch_p1))\n", + " for i in range(n_ch_p1):\n", + " for j in range(i + 1, n_ch_p1):\n", + " plv = compute_plv_from_phases(phases_p1[i], phases_p1[j])\n", + " within_p1[i, j] = plv\n", + " within_p1[j, i] = plv\n", + " \n", + " # Within-P2 matrix\n", + " within_p2 = np.ones((n_ch_p2, n_ch_p2))\n", + " for i in range(n_ch_p2):\n", + " for j in range(i + 1, n_ch_p2):\n", + " plv = compute_plv_from_phases(phases_p2[i], phases_p2[j])\n", + " within_p2[i, j] = plv\n", + " within_p2[j, i] = plv\n", + " \n", + " # Between matrix\n", + " between = np.zeros((n_ch_p1, n_ch_p2))\n", + " for i in range(n_ch_p1):\n", + " for j in range(n_ch_p2):\n", + " between[i, j] = compute_plv_from_phases(phases_p1[i], phases_p2[j])\n", + " \n", + " # Full matrix\n", + " n_total = n_ch_p1 + n_ch_p2\n", + " full = np.ones((n_total, n_total))\n", + " full[:n_ch_p1, :n_ch_p1] = within_p1\n", + " full[n_ch_p1:, n_ch_p1:] = within_p2\n", + " full[:n_ch_p1, n_ch_p1:] = between\n", + " full[n_ch_p1:, :n_ch_p1] = between.T\n", + " \n", + " return {\n", + " 'within_p1': within_p1,\n", + " 'within_p2': within_p2,\n", + " 'between': between,\n", + " 'full': full\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 10: compute_global_plv_hyperscanning\n", + "\n", + "def compute_global_plv_hyperscanning(\n", + " plv_dict: dict[str, NDArray[np.float64]]\n", + ") -> dict[str, float]:\n", + " \"\"\"\n", + " Compute summary statistics for hyperscanning PLV.\n", + " \n", + " Parameters\n", + " ----------\n", + " plv_dict : dict[str, NDArray[np.float64]]\n", + " Output from compute_plv_hyperscanning.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, float]\n", + " Summary statistics including mean PLV values.\n", + " \"\"\"\n", + " within_p1 = plv_dict['within_p1']\n", + " within_p2 = plv_dict['within_p2']\n", + " between = plv_dict['between']\n", + " \n", + " # Get upper triangle (excluding diagonal) for within matrices\n", + " mask_p1 = np.triu(np.ones_like(within_p1, dtype=bool), k=1)\n", + " mask_p2 = np.triu(np.ones_like(within_p2, dtype=bool), k=1)\n", + " \n", + " mean_within_p1 = np.mean(within_p1[mask_p1])\n", + " mean_within_p2 = np.mean(within_p2[mask_p2])\n", + " mean_between = np.mean(between)\n", + " \n", + " mean_within = (mean_within_p1 + mean_within_p2) / 2\n", + " ratio = mean_between / mean_within if mean_within > 0 else 0\n", + " \n", + " return {\n", + " 'mean_within_p1': float(mean_within_p1),\n", + " 'mean_within_p2': float(mean_within_p2),\n", + " 'mean_between': float(mean_between),\n", + " 'ratio_between_within': float(ratio)\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 12: Hyperscanning PLV matrix\n", + "\n", + "# Generate synthetic hyperscanning data\n", + "np.random.seed(42)\n", + "fs = 500\n", + "n_samples = 10000\n", + "n_ch_p1 = 4\n", + "n_ch_p2 = 4\n", + "t = np.arange(n_samples) / fs\n", + "freq = 10\n", + "\n", + "# Create data with inter-brain synchrony for specific channel pairs\n", + "data_p1 = np.zeros((n_ch_p1, n_samples))\n", + "data_p2 = np.zeros((n_ch_p2, n_samples))\n", + "\n", + "# Shared component for some inter-brain synchrony\n", + "shared_signal = np.sin(2 * np.pi * freq * t)\n", + "\n", + "# P1 channels\n", + "for i in range(n_ch_p1):\n", + " # Within-brain coherence\n", + " data_p1[i] = np.sin(2 * np.pi * freq * t + np.random.randn() * 0.2) \n", + " data_p1[i] += 0.3 * np.random.randn(n_samples)\n", + "\n", + "# P2 channels - add shared component with P1 for some channels\n", + "for i in range(n_ch_p2):\n", + " if i < 2: # Channels 0-1 have inter-brain synchrony\n", + " data_p2[i] = 0.5 * shared_signal + 0.5 * np.sin(2 * np.pi * freq * t + np.random.randn() * 0.3)\n", + " else:\n", + " data_p2[i] = np.sin(2 * np.pi * freq * t + np.pi + np.random.randn() * 0.5)\n", + " data_p2[i] += 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Compute hyperscanning PLV\n", + "band = (8, 12)\n", + "plv_hyper = compute_plv_hyperscanning(data_p1, data_p2, fs, band)\n", + "stats = compute_global_plv_hyperscanning(plv_hyper)\n", + "\n", + "# Plot full matrix\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "\n", + "full_matrix = plv_hyper['full']\n", + "im = ax.imshow(full_matrix, cmap='viridis', vmin=0, vmax=1, aspect='equal')\n", + "plt.colorbar(im, ax=ax, label='PLV')\n", + "\n", + "# Draw block boundaries\n", + "ax.axhline(y=n_ch_p1 - 0.5, color='white', linewidth=3)\n", + "ax.axvline(x=n_ch_p1 - 0.5, color='white', linewidth=3)\n", + "\n", + "# Labels\n", + "labels = [f'P1-{i+1}' for i in range(n_ch_p1)] + [f'P2-{i+1}' for i in range(n_ch_p2)]\n", + "ax.set_xticks(range(len(labels)))\n", + "ax.set_yticks(range(len(labels)))\n", + "ax.set_xticklabels(labels, rotation=45)\n", + "ax.set_yticklabels(labels)\n", + "\n", + "# Block annotations\n", + "ax.text(1.5, 1.5, 'Within P1', ha='center', va='center', fontsize=10, \n", + " color='white', fontweight='bold')\n", + "ax.text(5.5, 5.5, 'Within P2', ha='center', va='center', fontsize=10, \n", + " color='white', fontweight='bold')\n", + "ax.text(5.5, 1.5, 'Between\\n(P1→P2)', ha='center', va='center', fontsize=10, \n", + " color='white', fontweight='bold')\n", + "\n", + "ax.set_title(f'Inter-Brain Phase Locking in Hyperscanning\\n'\n", + " f'Between-brain mean PLV = {stats[\"mean_between\"]:.3f}', \n", + " fontweight='bold', fontsize=12)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\nSummary Statistics:\")\n", + "print(f\" Mean within-P1 PLV: {stats['mean_within_p1']:.3f}\")\n", + "print(f\" Mean within-P2 PLV: {stats['mean_within_p2']:.3f}\")\n", + "print(f\" Mean between-brain PLV: {stats['mean_between']:.3f}\")\n", + "print(f\" Between/Within ratio: {stats['ratio_between_within']:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 9: Statistical Significance for PLV\n", + "\n", + "Even completely random signals produce non-zero PLV due to finite sample size. The theoretical expectation for independent signals is approximately PLV ~ 1/√N where N is the number of samples.\n", + "\n", + "**Surrogate testing**:\n", + "1. Shuffle one signal's phase (preserving spectrum)\n", + "2. Compute surrogate PLV\n", + "3. Repeat many times → null distribution\n", + "4. Compare observed PLV to this distribution\n", + "\n", + "**Rayleigh test**: Tests whether phase differences are uniformly distributed (low PLV) or clustered (high PLV)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 11: plv_surrogate_test\n", + "\n", + "def plv_surrogate_test(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " n_surrogates: int = 500,\n", + " seed: int | None = None\n", + ") -> dict[str, Any]:\n", + " \"\"\"\n", + " Test PLV significance using surrogate data.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal.\n", + " y : NDArray[np.float64]\n", + " Second signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " n_surrogates : int, optional\n", + " Number of surrogate datasets (default: 500).\n", + " seed : int | None, optional\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, Any]\n", + " Results including observed PLV, null distribution stats, and p-value.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " # Compute observed PLV\n", + " plv_observed = compute_plv(x, y, fs, band)\n", + " \n", + " # Generate surrogates by phase shuffling\n", + " nyq = fs / 2\n", + " b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + " y_filt = signal.filtfilt(b, a, y)\n", + " \n", + " surrogate_plvs = []\n", + " for _ in range(n_surrogates):\n", + " # Phase shuffle y while preserving spectrum\n", + " y_fft = np.fft.fft(y_filt)\n", + " random_phases = np.exp(1j * np.random.uniform(0, 2*np.pi, len(y_fft)))\n", + " # Make symmetric for real output\n", + " random_phases[len(random_phases)//2:] = np.conj(random_phases[1:len(random_phases)//2+1][::-1])\n", + " y_surrogate = np.real(np.fft.ifft(np.abs(y_fft) * random_phases))\n", + " \n", + " plv_surr = compute_plv(x, y_surrogate, fs, band)\n", + " surrogate_plvs.append(plv_surr)\n", + " \n", + " surrogate_plvs = np.array(surrogate_plvs)\n", + " \n", + " # Compute statistics\n", + " null_mean = np.mean(surrogate_plvs)\n", + " null_std = np.std(surrogate_plvs)\n", + " pvalue = np.mean(surrogate_plvs >= plv_observed)\n", + " threshold_95 = np.percentile(surrogate_plvs, 95)\n", + " \n", + " return {\n", + " 'plv_observed': float(plv_observed),\n", + " 'null_mean': float(null_mean),\n", + " 'null_std': float(null_std),\n", + " 'pvalue': float(pvalue),\n", + " 'threshold_95': float(threshold_95),\n", + " 'surrogate_distribution': surrogate_plvs\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 12: rayleigh_test\n", + "\n", + "def rayleigh_test(\n", + " phase_diff: NDArray[np.float64]\n", + ") -> dict[str, float]:\n", + " \"\"\"\n", + " Rayleigh test for non-uniformity of phase differences.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_diff : NDArray[np.float64]\n", + " Phase difference time series (radians).\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, float]\n", + " Test results with z-statistic and p-value.\n", + " \n", + " Notes\n", + " -----\n", + " High z / low p indicates significantly non-uniform distribution,\n", + " suggesting phase locking.\n", + " \"\"\"\n", + " n = len(phase_diff)\n", + " \n", + " # Compute resultant length (this is PLV)\n", + " R = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " \n", + " # Rayleigh's z statistic\n", + " z = n * R**2\n", + " \n", + " # P-value (approximation for large n)\n", + " pvalue = np.exp(-z) * (1 + (2*z - z**2)/(4*n) - (24*z - 132*z**2 + 76*z**3 - 9*z**4)/(288*n**2))\n", + " pvalue = max(0, min(1, pvalue)) # Clip to [0, 1]\n", + " \n", + " return {\n", + " 'z_statistic': float(z),\n", + " 'pvalue': float(pvalue)\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 14: Significance testing\n", + "\n", + "# Generate phase-locked signals\n", + "np.random.seed(42)\n", + "x, y = generate_phase_locked_signals(10000, 500, 10, plv_target=0.4, seed=42)\n", + "\n", + "# Run surrogate test\n", + "results = plv_surrogate_test(x, y, fs=500, band=(8, 12), n_surrogates=500, seed=42)\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "\n", + "ax.hist(results['surrogate_distribution'], bins=30, color=COLORS['signal_1'], \n", + " alpha=0.7, density=True, label='Null distribution')\n", + "ax.axvline(x=results['plv_observed'], color=COLORS['highlight'], linewidth=3, \n", + " linestyle='-', label=f'Observed PLV = {results[\"plv_observed\"]:.3f}')\n", + "ax.axvline(x=results['threshold_95'], color=COLORS['signal_2'], linewidth=2, \n", + " linestyle='--', label=f'95% threshold = {results[\"threshold_95\"]:.3f}')\n", + "\n", + "ax.set_xlabel('PLV', fontsize=12)\n", + "ax.set_ylabel('Density', fontsize=12)\n", + "ax.set_title(f'PLV Significance Testing (p = {results[\"pvalue\"]:.4f})', \n", + " fontsize=14, fontweight='bold')\n", + "ax.legend()\n", + "\n", + "# Add significance annotation\n", + "if results['pvalue'] < 0.05:\n", + " ax.text(0.95, 0.95, '✓ Significant (p < 0.05)', transform=ax.transAxes,\n", + " ha='right', va='top', fontsize=12, color='green', fontweight='bold')\n", + "else:\n", + " ax.text(0.95, 0.95, '✗ Not significant', transform=ax.transAxes,\n", + " ha='right', va='top', fontsize=12, color='red', fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 10: Comparison with Coherence\n", + "\n", + "PLV and coherence are both frequency-specific connectivity measures, but they differ in important ways:\n", + "\n", + "| Aspect | PLV | Coherence |\n", + "|--------|-----|------------|\n", + "| What it measures | Pure phase consistency | Phase + amplitude coupling |\n", + "| Amplitude sensitivity | None (unit vectors) | Yes (affected by power) |\n", + "| Range | 0-1 | 0-1 (magnitude) |\n", + "| Volume conduction | Sensitive | Sensitive |\n", + "\n", + "**When to use which**:\n", + "- **PLV**: When you specifically care about phase synchrony, independent of amplitude\n", + "- **Coherence**: When overall coupling matters, including amplitude covariation\n", + "- Often, compute both!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 13: compare_plv_coherence\n", + "\n", + "def compare_plv_coherence(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> dict[str, float]:\n", + " \"\"\"\n", + " Compare PLV and coherence for a signal pair.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal.\n", + " y : NDArray[np.float64]\n", + " Second signal.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, float]\n", + " PLV, coherence, and their difference.\n", + " \"\"\"\n", + " # Compute PLV\n", + " plv = compute_plv(x, y, fs, band)\n", + " \n", + " # Compute coherence using scipy\n", + " f, Cxy = signal.coherence(x, y, fs=fs, nperseg=int(fs))\n", + " \n", + " # Get average coherence in band\n", + " band_mask = (f >= band[0]) & (f <= band[1])\n", + " coherence = np.mean(Cxy[band_mask])\n", + " \n", + " return {\n", + " 'plv': float(plv),\n", + " 'coherence': float(coherence),\n", + " 'difference': float(plv - coherence)\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 15: PLV vs Coherence scatter\n", + "\n", + "np.random.seed(42)\n", + "n_pairs = 50\n", + "fs = 500\n", + "n_samples = 5000\n", + "band = (8, 12)\n", + "\n", + "plv_values = []\n", + "coh_values = []\n", + "\n", + "for i in range(n_pairs):\n", + " # Generate signal pairs with varying coupling\n", + " plv_target = np.random.uniform(0.1, 0.9)\n", + " x, y = generate_phase_locked_signals(n_samples, fs, 10, plv_target=plv_target, seed=i)\n", + " \n", + " # Add amplitude variations\n", + " amp_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.5 * np.arange(n_samples) / fs)\n", + " x = x * amp_mod\n", + " \n", + " results = compare_plv_coherence(x, y, fs, band)\n", + " plv_values.append(results['plv'])\n", + " coh_values.append(results['coherence'])\n", + "\n", + "# Plot\n", + "plt.figure(figsize=(8, 8))\n", + "plt.scatter(coh_values, plv_values, c=COLORS['signal_1'], alpha=0.6, s=50)\n", + "plt.plot([0, 1], [0, 1], 'k--', alpha=0.5, label='Identity line')\n", + "plt.xlabel('Coherence', fontsize=12)\n", + "plt.ylabel('PLV', fontsize=12)\n", + "plt.title('PLV vs Coherence Comparison\\n(Usually correlated but not identical)', \n", + " fontsize=14, fontweight='bold')\n", + "plt.xlim(0, 1)\n", + "plt.ylim(0, 1)\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.3)\n", + "\n", + "# Add correlation\n", + "corr, _ = pearsonr(plv_values, coh_values)\n", + "plt.text(0.05, 0.95, f'r = {corr:.3f}', transform=plt.gca().transAxes,\n", + " fontsize=12, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 12: Hands-On Exercises\n", + "\n", + "Now it's your turn! Complete the following exercises to reinforce your understanding of PLV." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: Basic PLV\n", + "# Generate two 10 Hz signals with a known phase offset (e.g., π/3)\n", + "# Compute PLV and verify it's approximately 1 (regardless of offset value)\n", + "# Then add phase noise and observe PLV decrease\n", + "\n", + "# YOUR CODE HERE\n", + "# x, y = generate_phase_locked_signals(...)\n", + "# plv = compute_plv(...)\n", + "# print(f\"PLV with constant offset: {plv:.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Unit Circle Visualization\n", + "# Generate phase-locked signals, extract phases, compute differences\n", + "# Plot phase differences on unit circle\n", + "# Verify: clustered for high PLV, spread for low PLV\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 3: Volume Conduction Demonstration\n", + "# Simulate volume conduction (same signal at two \"electrodes\" + noise)\n", + "# Compute PLV → should be high\n", + "# Note: this is SPURIOUS! Save results for comparison with PLI in G02\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 4: Time-Resolved PLV\n", + "# Create signals where PLV changes over time\n", + "# First half: phase locked (PLV high)\n", + "# Second half: not locked (PLV low)\n", + "# Compute sliding window PLV and verify you capture the transition\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 5: PLV Matrix\n", + "# Create 8-channel simulated data with cluster structure:\n", + "# - Channels 1-4 phase locked within cluster\n", + "# - Channels 5-8 phase locked within cluster\n", + "# - Between clusters: weak coupling\n", + "# Compute PLV matrix and verify it reveals your designed structure\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 6: Hyperscanning PLV\n", + "# Create two-participant data (6 channels each)\n", + "# Add between-brain phase locking for specific channel pairs\n", + "# Compute hyperscanning PLV and identify the synchronized pairs\n", + "# Test against surrogates for significance\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 7: PLV vs Coherence\n", + "# Create a scenario where PLV and coherence differ:\n", + "# High amplitude correlation but variable phase\n", + "# Compute both metrics and discuss which better captures your scenario\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **PLV measures consistency of phase difference over time**\n", + " - Formula: PLV = |mean(e^(i×Δφ))|\n", + " - Range: 0 (no locking) to 1 (perfect locking)\n", + "\n", + "2. **PLV measures phase consistency, not actual phase value**\n", + " - 90° offset with perfect consistency → PLV = 1\n", + "\n", + "3. **Computation pipeline**:\n", + " - Filter → Hilbert → phases → difference → unit vectors → average → magnitude\n", + "\n", + "4. **⚠️ Sensitive to volume conduction** (like coherence)\n", + " - Use PLI/wPLI if within-brain analysis is a concern\n", + "\n", + "5. **Time-resolved PLV**: Sliding window approach for dynamic connectivity\n", + "\n", + "6. **PLV matrix**: Symmetric, diagonal = 1, all values 0-1\n", + "\n", + "7. **For hyperscanning**: Most common metric for inter-brain synchrony\n", + " - Inter-brain PLV is safe from volume conduction (separate heads!)\n", + "\n", + "8. **Statistical testing**: Surrogates or Rayleigh test\n", + "\n", + "9. **PLV ignores amplitude** (unlike coherence)\n", + "\n", + "10. **Next**: PLI addresses the volume conduction problem (G02)\n", + "\n", + "---\n", + "\n", + "## Discussion Questions\n", + "\n", + "1. Two colleagues claim PLV = 0.6 between frontal and occipital electrodes. What questions would you ask before believing this reflects true connectivity?\n", + "\n", + "2. You're studying conversation and find high inter-brain PLV at the speech rate (4-5 Hz theta). Is this \"neural synchrony\" or just both people responding to the same acoustic rhythm? How would you investigate?\n", + "\n", + "3. PLV = 0.3. Is this \"low\" or \"moderate\"? What additional information would you need to interpret this value?\n", + "\n", + "4. Your time-resolved PLV shows spikes exactly when both participants press buttons (behavioral synchrony task). Is this neural PLV or movement artifact? How would you tell?\n", + "\n", + "5. A reviewer asks \"Why PLV instead of coherence?\" for your hyperscanning study. How do you justify your metric choice?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/G_phase_based/G02_phase_lag_index.ipynb b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/G_phase_based/G02_phase_lag_index.ipynb new file mode 100644 index 0000000..c3c3fa7 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/G_phase_based/G02_phase_lag_index.ipynb @@ -0,0 +1,1244 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# G02: Phase Lag Index (PLI)\n", + "\n", + "**Duration**: 55 minutes \n", + "**Prerequisites**: G01 (Phase Locking Value), C01 (Volume Conduction Problem) \n", + "**Next**: G03 (Weighted Phase Lag Index)\n", + "\n", + "---\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "1. Explain why PLV fails for volume conduction\n", + "2. Define PLI as asymmetry of phase difference distribution\n", + "3. Implement PLI computation\n", + "4. Interpret PLI values (0 to 1)\n", + "5. Understand the sign inconsistency issue with PLI\n", + "6. Apply PLI to hyperscanning analysis\n", + "7. Recognize when to use PLI vs PLV" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Required imports\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "from typing import Tuple, Any\n", + "\n", + "# Set random seed for reproducibility\n", + "np.random.seed(42)\n", + "\n", + "# Plotting style\n", + "plt.style.use('seaborn-v0_8-whitegrid')\n", + "plt.rcParams['figure.figsize'] = (12, 6)\n", + "plt.rcParams['font.size'] = 11\n", + "\n", + "# Color palette\n", + "COLORS = {\n", + " 'signal_1': '#2E86AB',\n", + " 'signal_2': '#E94F37',\n", + " 'subject_1': '#2E86AB',\n", + " 'subject_2': '#A23B72',\n", + " 'highlight': '#F18F01',\n", + " 'warning': '#C73E1D'\n", + "}" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 1: The Problem with PLV (Revisited)\n", + "\n", + "In G01, we learned that PLV measures phase consistency—but we also saw its critical flaw: **volume conduction**.\n", + "\n", + "When a single electrical source in the brain spreads through conductive tissue to multiple electrodes, those electrodes record essentially the same signal. This means:\n", + "- Phase difference ≈ 0 (or π)\n", + "- Phase difference is extremely consistent (always near 0)\n", + "- PLV = very high!\n", + "\n", + "But this is **spurious**—not true connectivity, just physics!\n", + "\n", + "**What we need**: A metric that **ignores zero-phase relationships**.\n", + "\n", + "> **Key message**: \"PLI ignores phase differences at 0 and π, eliminating volume conduction artifacts.\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 1: Phase difference distributions\n", + "\n", + "np.random.seed(42)\n", + "n_samples = 10000\n", + "\n", + "# Three scenarios\n", + "# 1. Volume conduction: peaked at 0\n", + "phase_diff_vc = np.random.normal(0, 0.15, n_samples)\n", + "\n", + "# 2. True connection: peaked elsewhere (e.g., 45°)\n", + "phase_diff_true = np.random.normal(np.pi/4, 0.3, n_samples)\n", + "\n", + "# 3. No connection: uniform\n", + "phase_diff_none = np.random.uniform(-np.pi, np.pi, n_samples)\n", + "\n", + "# Compute PLV for each\n", + "def quick_plv(phase_diff):\n", + " return np.abs(np.mean(np.exp(1j * phase_diff)))\n", + "\n", + "plv_vc = quick_plv(phase_diff_vc)\n", + "plv_true = quick_plv(phase_diff_true)\n", + "plv_none = quick_plv(phase_diff_none)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n", + "\n", + "scenarios = [\n", + " (phase_diff_vc, plv_vc, 'Volume Conduction', COLORS['warning']),\n", + " (phase_diff_true, plv_true, 'True Connection', COLORS['signal_1']),\n", + " (phase_diff_none, plv_none, 'No Connection', 'gray')\n", + "]\n", + "\n", + "for ax, (pd, plv, title, color) in zip(axes, scenarios):\n", + " ax.hist(pd, bins=50, color=color, alpha=0.7, density=True, range=(-np.pi, np.pi))\n", + " ax.axvline(x=0, color='black', linestyle='--', linewidth=2, label='Zero lag')\n", + " ax.set_xlabel('Phase Difference (rad)')\n", + " ax.set_ylabel('Density')\n", + " ax.set_title(f'{title}\\nPLV = {plv:.3f}', fontweight='bold')\n", + " ax.set_xlim(-np.pi, np.pi)\n", + " ax.legend()\n", + "\n", + "plt.suptitle(\"PLV Can't Distinguish Volume Conduction from True Connectivity\\n(Both left scenarios have HIGH PLV!)\", \n", + " fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 2: The Key Insight — Phase Difference Sign\n", + "\n", + "The brilliant insight behind PLI is to look at the **sign** of sin(Δφ):\n", + "\n", + "- **sin(Δφ) > 0** when 0 < Δφ < π → Y leads X\n", + "- **sin(Δφ) < 0** when -π < Δφ < 0 → X leads Y \n", + "- **sin(Δφ) = 0** when Δφ = 0 or π → **Volume conduction zone!**\n", + "\n", + "**PLI principle**: \n", + "- True connection with consistent lag → signs mostly same → **asymmetric**\n", + "- Volume conduction (Δφ ≈ 0) → noise makes signs flip equally → **symmetric**\n", + "\n", + "PLI measures this **asymmetry of the sign distribution**." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 2: Sign of sin(Δφ) on unit circle\n", + "\n", + "fig, ax = plt.subplots(figsize=(8, 8))\n", + "\n", + "# Draw unit circle\n", + "theta = np.linspace(0, 2*np.pi, 100)\n", + "ax.plot(np.cos(theta), np.sin(theta), 'k-', linewidth=2)\n", + "\n", + "# Fill upper half (positive sin)\n", + "theta_upper = np.linspace(0, np.pi, 50)\n", + "ax.fill_between(np.cos(theta_upper), 0, np.sin(theta_upper), \n", + " color=COLORS['signal_1'], alpha=0.3, label='sin(Δφ) > 0: Y leads X')\n", + "\n", + "# Fill lower half (negative sin)\n", + "theta_lower = np.linspace(np.pi, 2*np.pi, 50)\n", + "ax.fill_between(np.cos(theta_lower), 0, np.sin(theta_lower), \n", + " color=COLORS['signal_2'], alpha=0.3, label='sin(Δφ) < 0: X leads Y')\n", + "\n", + "# Mark volume conduction zone\n", + "ax.scatter([1, -1], [0, 0], s=200, c=COLORS['warning'], zorder=5, \n", + " edgecolor='black', linewidth=2, label='sin(Δφ) = 0: Volume conduction zone')\n", + "\n", + "# Axes\n", + "ax.axhline(y=0, color='black', linewidth=1)\n", + "ax.axvline(x=0, color='gray', linewidth=1, alpha=0.5)\n", + "\n", + "# Labels\n", + "ax.annotate('Δφ = 0', xy=(1.1, 0.1), fontsize=12)\n", + "ax.annotate('Δφ = π', xy=(-1.3, 0.1), fontsize=12)\n", + "ax.annotate('Δφ = π/2', xy=(0.1, 1.1), fontsize=12)\n", + "ax.annotate('Δφ = -π/2', xy=(0.1, -1.15), fontsize=12)\n", + "\n", + "ax.set_xlim(-1.5, 1.5)\n", + "ax.set_ylim(-1.5, 1.5)\n", + "ax.set_aspect('equal')\n", + "ax.set_xlabel('cos(Δφ)', fontsize=12)\n", + "ax.set_ylabel('sin(Δφ)', fontsize=12)\n", + "ax.set_title('Phase Difference Sign: Positive, Negative, or Zero', fontsize=14, fontweight='bold')\n", + "ax.legend(loc='upper left')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 3: Sign balance vs imbalance\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "np.random.seed(42)\n", + "n_points = 200\n", + "\n", + "# Volume conduction: phase diffs fluctuate around 0\n", + "phase_diff_vc = np.random.normal(0, 0.3, n_points)\n", + "signs_vc = np.sign(np.sin(phase_diff_vc))\n", + "\n", + "# True connection: consistent positive lag\n", + "phase_diff_true = np.random.normal(np.pi/3, 0.3, n_points)\n", + "signs_true = np.sign(np.sin(phase_diff_true))\n", + "\n", + "# Plot volume conduction\n", + "ax = axes[0]\n", + "colors_vc = [COLORS['signal_1'] if s > 0 else COLORS['signal_2'] for s in signs_vc]\n", + "ax.scatter(range(len(signs_vc)), signs_vc, c=colors_vc, alpha=0.6, s=30)\n", + "ax.axhline(y=0, color='gray', linestyle='--')\n", + "ax.set_xlabel('Time point')\n", + "ax.set_ylabel('Sign of sin(Δφ)')\n", + "ax.set_ylim(-1.5, 1.5)\n", + "ax.set_yticks([-1, 0, 1])\n", + "pos_count = np.sum(signs_vc > 0)\n", + "neg_count = np.sum(signs_vc < 0)\n", + "ax.set_title(f'Volume Conduction\\n+1: {pos_count}, -1: {neg_count} (BALANCED)', fontweight='bold')\n", + "\n", + "# Plot true connection\n", + "ax = axes[1]\n", + "colors_true = [COLORS['signal_1'] if s > 0 else COLORS['signal_2'] for s in signs_true]\n", + "ax.scatter(range(len(signs_true)), signs_true, c=colors_true, alpha=0.6, s=30)\n", + "ax.axhline(y=0, color='gray', linestyle='--')\n", + "ax.set_xlabel('Time point')\n", + "ax.set_ylabel('Sign of sin(Δφ)')\n", + "ax.set_ylim(-1.5, 1.5)\n", + "ax.set_yticks([-1, 0, 1])\n", + "pos_count = np.sum(signs_true > 0)\n", + "neg_count = np.sum(signs_true < 0)\n", + "ax.set_title(f'True Connection\\n+1: {pos_count}, -1: {neg_count} (IMBALANCED)', fontweight='bold')\n", + "\n", + "plt.suptitle('Sign Asymmetry Distinguishes True Connectivity', fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 3: The PLI Formula\n", + "\n", + "The **Phase Lag Index** (Stam et al., 2007) is defined as:\n", + "\n", + "$$PLI = \\left| \\frac{1}{N} \\sum_{t=1}^{N} sign(\\sin(\\Delta\\phi(t))) \\right| = \\left| \\langle sign(\\sin(\\Delta\\phi)) \\rangle \\right|$$\n", + "\n", + "**Interpretation**:\n", + "1. Compute sin(Δφ) at each time point\n", + "2. Take the sign: +1, -1, or 0\n", + "3. Average the signs\n", + "4. Take absolute value\n", + "\n", + "**Properties**:\n", + "- Range: 0 to 1\n", + "- **PLI = 0**: Symmetric (could be volume conduction OR no connection)\n", + "- **PLI = 1**: Perfect asymmetry (all phases on same side)\n", + "- PLI ignores **magnitude** of phase difference, only sign matters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: PLI computation steps\n", + "\n", + "np.random.seed(42)\n", + "n_samples = 500\n", + "t = np.arange(n_samples)\n", + "\n", + "# Generate phase differences for true connection\n", + "phase_diff = np.random.normal(np.pi/4, 0.4, n_samples)\n", + "\n", + "fig, axes = plt.subplots(4, 1, figsize=(14, 10), sharex=True)\n", + "\n", + "# Step 1: Phase difference\n", + "axes[0].plot(t, phase_diff, color=COLORS['signal_1'], alpha=0.7)\n", + "axes[0].axhline(y=0, color='gray', linestyle='--')\n", + "axes[0].set_ylabel('Δφ (rad)')\n", + "axes[0].set_title('Step 1: Phase Difference Δφ(t)', fontweight='bold')\n", + "\n", + "# Step 2: sin(Δφ)\n", + "sin_phase_diff = np.sin(phase_diff)\n", + "axes[1].plot(t, sin_phase_diff, color=COLORS['signal_2'], alpha=0.7)\n", + "axes[1].axhline(y=0, color='gray', linestyle='--')\n", + "axes[1].set_ylabel('sin(Δφ)')\n", + "axes[1].set_title('Step 2: Compute sin(Δφ)', fontweight='bold')\n", + "\n", + "# Step 3: sign(sin(Δφ))\n", + "signs = np.sign(sin_phase_diff)\n", + "colors = [COLORS['signal_1'] if s > 0 else COLORS['signal_2'] if s < 0 else 'gray' for s in signs]\n", + "axes[2].scatter(t, signs, c=colors, alpha=0.5, s=10)\n", + "axes[2].axhline(y=0, color='gray', linestyle='--')\n", + "axes[2].set_ylabel('sign(sin(Δφ))')\n", + "axes[2].set_yticks([-1, 0, 1])\n", + "axes[2].set_title('Step 3: Extract Sign (+1, -1, or 0)', fontweight='bold')\n", + "\n", + "# Step 4: PLI\n", + "mean_sign = np.mean(signs)\n", + "pli = np.abs(mean_sign)\n", + "\n", + "axes[3].bar(['Mean of signs', 'PLI = |mean|'], [mean_sign, pli], \n", + " color=[COLORS['signal_1'], COLORS['highlight']], edgecolor='black')\n", + "axes[3].axhline(y=0, color='gray', linestyle='-')\n", + "axes[3].set_ylim(-1, 1)\n", + "axes[3].set_ylabel('Value')\n", + "axes[3].set_title(f'Step 4: Average Signs and Take Absolute Value → PLI = {pli:.3f}', fontweight='bold')\n", + "\n", + "plt.xlabel('Time point')\n", + "plt.suptitle('PLI Computation Steps', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 4: Implementing PLI\n", + "\n", + "The pipeline is very similar to PLV:\n", + "\n", + "1. Band-pass filter both signals\n", + "2. Extract instantaneous phases (Hilbert)\n", + "3. Compute phase difference Δφ(t)\n", + "4. Compute **sign(sin(Δφ(t)))** ← key difference!\n", + "5. Average the signs\n", + "6. Take absolute value" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 1: compute_pli\n", + "\n", + "def compute_pli(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " filter_order: int = 4\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Phase Lag Index between two signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal (1D array).\n", + " y : NDArray[np.float64]\n", + " Second signal (1D array).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band of interest (low, high) in Hz.\n", + " filter_order : int, optional\n", + " Order of the Butterworth filter (default: 4).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Phase Lag Index between 0 and 1.\n", + " \n", + " Notes\n", + " -----\n", + " PLI = |mean(sign(sin(phase_x - phase_y)))|\n", + " \n", + " PLI is robust to volume conduction because zero-lag\n", + " relationships (Δφ ≈ 0) contribute equally to +1 and -1.\n", + " \"\"\"\n", + " # Design bandpass filter\n", + " nyq = fs / 2\n", + " low, high = band[0] / nyq, band[1] / nyq\n", + " b, a = signal.butter(filter_order, [low, high], btype='band')\n", + " \n", + " # Filter signals\n", + " x_filt = signal.filtfilt(b, a, x)\n", + " y_filt = signal.filtfilt(b, a, y)\n", + " \n", + " # Extract phases via Hilbert transform\n", + " phase_x = np.angle(signal.hilbert(x_filt))\n", + " phase_y = np.angle(signal.hilbert(y_filt))\n", + " \n", + " # Compute PLI\n", + " phase_diff = phase_x - phase_y\n", + " pli = np.abs(np.mean(np.sign(np.sin(phase_diff))))\n", + " \n", + " return float(pli)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 2: compute_pli_from_phases\n", + "\n", + "def compute_pli_from_phases(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute PLI from pre-computed phases.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_x : NDArray[np.float64]\n", + " Instantaneous phase of first signal (radians).\n", + " phase_y : NDArray[np.float64]\n", + " Instantaneous phase of second signal (radians).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Phase Lag Index between 0 and 1.\n", + " \"\"\"\n", + " phase_diff = phase_x - phase_y\n", + " pli = np.abs(np.mean(np.sign(np.sin(phase_diff))))\n", + " return float(pli)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 3: compute_sign_series\n", + "\n", + "def compute_sign_series(\n", + " phase_diff: NDArray[np.float64]\n", + ") -> NDArray[np.int64]:\n", + " \"\"\"\n", + " Compute sign of sin(phase_diff) time series.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_diff : NDArray[np.float64]\n", + " Phase difference time series (radians).\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.int64]\n", + " Sign series: +1 (Y leads), -1 (X leads), or 0 (zero lag).\n", + " \"\"\"\n", + " return np.sign(np.sin(phase_diff)).astype(np.int64)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: PLI vs PLV pipeline comparison\n", + "\n", + "fig, axes = plt.subplots(2, 4, figsize=(16, 6))\n", + "\n", + "# Common steps\n", + "steps_common = ['1. Filter', '2. Hilbert', '3. Phases', '4. Δφ']\n", + "steps_plv = ['5. e^(iΔφ)', '6. Average', '7. |·|', 'PLV']\n", + "steps_pli = ['5. sin(Δφ)', '6. sign(·)', '7. Average', '8. |·| → PLI']\n", + "\n", + "# PLV path (top row)\n", + "for i, step in enumerate(steps_common[:4]):\n", + " axes[0, i].text(0.5, 0.5, step, ha='center', va='center', fontsize=12, fontweight='bold')\n", + " axes[0, i].set_xlim(0, 1)\n", + " axes[0, i].set_ylim(0, 1)\n", + " axes[0, i].axis('off')\n", + " if i < 3:\n", + " axes[0, i].annotate('', xy=(1.1, 0.5), xytext=(0.9, 0.5),\n", + " arrowprops=dict(arrowstyle='->', color='gray'))\n", + "\n", + "# PLI path (bottom row) - diverges at step 5\n", + "for i in range(4):\n", + " if i < 3:\n", + " axes[1, i].text(0.5, 0.5, '↓', ha='center', va='center', fontsize=20, color='gray')\n", + " else:\n", + " axes[1, i].text(0.5, 0.7, 'PLV path:', ha='center', va='center', fontsize=10, color=COLORS['signal_1'])\n", + " axes[1, i].text(0.5, 0.5, 'e^(iΔφ) → avg → |·|', ha='center', va='center', fontsize=10, color=COLORS['signal_1'])\n", + " axes[1, i].text(0.5, 0.3, 'PLI path:', ha='center', va='center', fontsize=10, color=COLORS['signal_2'])\n", + " axes[1, i].text(0.5, 0.1, 'sin → sign → avg → |·|', ha='center', va='center', fontsize=10, color=COLORS['signal_2'])\n", + " axes[1, i].set_xlim(0, 1)\n", + " axes[1, i].set_ylim(0, 1)\n", + " axes[1, i].axis('off')\n", + "\n", + "plt.suptitle('PLI vs PLV: Same Start, Different Finish', fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 5: PLI vs Volume Conduction\n", + "\n", + "Now let's demonstrate PLI's key advantage: **robustness to volume conduction**." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 4: demonstrate_pli_volume_conduction\n", + "\n", + "def demonstrate_pli_volume_conduction(\n", + " n_samples: int = 10000,\n", + " fs: float = 500.0,\n", + " frequency: float = 10.0,\n", + " seed: int | None = None\n", + ") -> dict[str, Any]:\n", + " \"\"\"\n", + " Compare PLV and PLI for volume conduction vs true connectivity.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples.\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " frequency : float\n", + " Oscillation frequency in Hz.\n", + " seed : int | None\n", + " Random seed for reproducibility.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, Any]\n", + " PLV and PLI values for both scenarios.\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " t = np.arange(n_samples) / fs\n", + " band = (frequency - 2, frequency + 2)\n", + " \n", + " # Volume conduction: same signal + small noise\n", + " source = np.sin(2 * np.pi * frequency * t)\n", + " noise_level = 0.1\n", + " vc_1 = source + noise_level * np.random.randn(n_samples)\n", + " vc_2 = source + noise_level * np.random.randn(n_samples)\n", + " \n", + " # True connectivity: signal with consistent delay\n", + " delay_samples = int(0.015 * fs) # 15ms delay (~54° at 10 Hz)\n", + " tc_1 = source + 0.3 * np.random.randn(n_samples)\n", + " tc_2 = np.roll(source, delay_samples) + 0.3 * np.random.randn(n_samples)\n", + " \n", + " # Compute metrics\n", + " # PLV helper\n", + " def compute_plv(x, y, fs, band):\n", + " nyq = fs / 2\n", + " b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + " x_filt = signal.filtfilt(b, a, x)\n", + " y_filt = signal.filtfilt(b, a, y)\n", + " phase_x = np.angle(signal.hilbert(x_filt))\n", + " phase_y = np.angle(signal.hilbert(y_filt))\n", + " return np.abs(np.mean(np.exp(1j * (phase_x - phase_y))))\n", + " \n", + " return {\n", + " 'vc_plv': float(compute_plv(vc_1, vc_2, fs, band)),\n", + " 'vc_pli': float(compute_pli(vc_1, vc_2, fs, band)),\n", + " 'tc_plv': float(compute_plv(tc_1, tc_2, fs, band)),\n", + " 'tc_pli': float(compute_pli(tc_1, tc_2, fs, band)),\n", + " 'signals_vc': (vc_1, vc_2),\n", + " 'signals_tc': (tc_1, tc_2)\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6 & 7: PLI correctly identifies volume conduction\n", + "\n", + "results = demonstrate_pli_volume_conduction(seed=42)\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 8))\n", + "\n", + "fs = 500\n", + "band = (8, 12)\n", + "nyq = fs / 2\n", + "b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + "\n", + "# Row 1: Volume Conduction\n", + "vc_1, vc_2 = results['signals_vc']\n", + "vc_1_filt = signal.filtfilt(b, a, vc_1)\n", + "vc_2_filt = signal.filtfilt(b, a, vc_2)\n", + "phase_diff_vc = np.angle(signal.hilbert(vc_1_filt)) - np.angle(signal.hilbert(vc_2_filt))\n", + "phase_diff_vc = np.mod(phase_diff_vc + np.pi, 2*np.pi) - np.pi\n", + "\n", + "axes[0, 0].plot(vc_1[:500], color=COLORS['signal_1'], alpha=0.8, label='Electrode 1')\n", + "axes[0, 0].plot(vc_2[:500], color=COLORS['signal_2'], alpha=0.8, label='Electrode 2')\n", + "axes[0, 0].set_title('Volume Conduction: Signals', fontweight='bold')\n", + "axes[0, 0].legend()\n", + "\n", + "axes[0, 1].hist(phase_diff_vc, bins=50, color=COLORS['warning'], alpha=0.7, density=True)\n", + "axes[0, 1].axvline(x=0, color='black', linestyle='--', linewidth=2)\n", + "axes[0, 1].set_title('Phase Difference Distribution\\n(Peaked at 0)', fontweight='bold')\n", + "axes[0, 1].set_xlabel('Δφ (rad)')\n", + "axes[0, 1].set_xlim(-np.pi, np.pi)\n", + "\n", + "axes[0, 2].bar(['PLV', 'PLI'], [results['vc_plv'], results['vc_pli']], \n", + " color=[COLORS['signal_1'], COLORS['signal_2']], edgecolor='black')\n", + "axes[0, 2].set_ylim(0, 1.1)\n", + "axes[0, 2].set_title(f\"PLV={results['vc_plv']:.2f} (HIGH!)\\nPLI={results['vc_pli']:.2f} (LOW ✓)\", \n", + " fontweight='bold')\n", + "\n", + "# Row 2: True Connectivity\n", + "tc_1, tc_2 = results['signals_tc']\n", + "tc_1_filt = signal.filtfilt(b, a, tc_1)\n", + "tc_2_filt = signal.filtfilt(b, a, tc_2)\n", + "phase_diff_tc = np.angle(signal.hilbert(tc_1_filt)) - np.angle(signal.hilbert(tc_2_filt))\n", + "phase_diff_tc = np.mod(phase_diff_tc + np.pi, 2*np.pi) - np.pi\n", + "\n", + "axes[1, 0].plot(tc_1[:500], color=COLORS['signal_1'], alpha=0.8, label='Electrode 1')\n", + "axes[1, 0].plot(tc_2[:500], color=COLORS['signal_2'], alpha=0.8, label='Electrode 2')\n", + "axes[1, 0].set_title('True Connection: Signals', fontweight='bold')\n", + "axes[1, 0].legend()\n", + "\n", + "axes[1, 1].hist(phase_diff_tc, bins=50, color=COLORS['signal_1'], alpha=0.7, density=True)\n", + "axes[1, 1].axvline(x=0, color='black', linestyle='--', linewidth=2)\n", + "axes[1, 1].set_title('Phase Difference Distribution\\n(Peaked away from 0)', fontweight='bold')\n", + "axes[1, 1].set_xlabel('Δφ (rad)')\n", + "axes[1, 1].set_xlim(-np.pi, np.pi)\n", + "\n", + "axes[1, 2].bar(['PLV', 'PLI'], [results['tc_plv'], results['tc_pli']], \n", + " color=[COLORS['signal_1'], COLORS['signal_2']], edgecolor='black')\n", + "axes[1, 2].set_ylim(0, 1.1)\n", + "axes[1, 2].set_title(f\"PLV={results['tc_plv']:.2f}\\nPLI={results['tc_pli']:.2f} (Both HIGH ✓)\", \n", + " fontweight='bold')\n", + "\n", + "plt.suptitle('PLI Correctly Identifies Volume Conduction\\n(PLI is low for VC, high for true connection)', \n", + " fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Bar chart summary\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "x = np.arange(2)\n", + "width = 0.35\n", + "\n", + "bars1 = ax.bar(x - width/2, [results['vc_plv'], results['tc_plv']], width, \n", + " label='PLV', color=COLORS['signal_1'], edgecolor='black')\n", + "bars2 = ax.bar(x + width/2, [results['vc_pli'], results['tc_pli']], width, \n", + " label='PLI', color=COLORS['signal_2'], edgecolor='black')\n", + "\n", + "ax.set_ylabel('Connectivity Value')\n", + "ax.set_xticks(x)\n", + "ax.set_xticklabels(['Volume Conduction\\n(SPURIOUS)', 'True Connection\\n(GENUINE)'])\n", + "ax.set_ylim(0, 1.1)\n", + "ax.legend()\n", + "ax.axhline(y=0.5, color='gray', linestyle='--', alpha=0.5)\n", + "\n", + "# Add value labels\n", + "for bar in bars1 + bars2:\n", + " height = bar.get_height()\n", + " ax.annotate(f'{height:.2f}', xy=(bar.get_x() + bar.get_width()/2, height),\n", + " xytext=(0, 3), textcoords='offset points', ha='center', va='bottom')\n", + "\n", + "ax.set_title('PLI Distinguishes What PLV Cannot', fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 6: The Sensitivity vs Specificity Trade-off\n", + "\n", + "PLI isn't a free lunch. Let's be honest about its limitations:\n", + "\n", + "**Advantage (Specificity)**: PLI doesn't false-alarm on volume conduction\n", + "\n", + "**Disadvantage (Sensitivity)**: PLI may miss **true zero-lag connections**!\n", + "- If true connectivity happens at exactly zero lag, PLI = 0\n", + "- Such connections ARE possible (e.g., common input)\n", + "\n", + "**Noise sensitivity**: The sign function is discontinuous\n", + "- Small noise fluctuations around 0 cause sign flips\n", + "- Can make PLI unstable for small phase differences\n", + "\n", + "**The trade-off**:\n", + "- **PLV**: High sensitivity, low specificity (finds all, including false positives)\n", + "- **PLI**: High specificity, lower sensitivity (confident results, may miss some)\n", + "\n", + "**Solution**: wPLI (G03) improves on PLI!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 8: Sensitivity vs Specificity diagram\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "\n", + "# Draw regions\n", + "ax.fill([0.1, 0.9, 0.9, 0.1], [0.1, 0.1, 0.9, 0.9], \n", + " color='lightgray', alpha=0.3, label='Ideal zone')\n", + "\n", + "# Plot metrics\n", + "ax.scatter([0.9], [0.5], s=500, c=COLORS['signal_1'], marker='o', \n", + " edgecolors='black', linewidths=2, label='PLV', zorder=5)\n", + "ax.scatter([0.5], [0.85], s=500, c=COLORS['signal_2'], marker='s', \n", + " edgecolors='black', linewidths=2, label='PLI', zorder=5)\n", + "ax.scatter([0.75], [0.8], s=500, c=COLORS['highlight'], marker='^', \n", + " edgecolors='black', linewidths=2, label='wPLI (G03)', zorder=5)\n", + "\n", + "# Labels\n", + "ax.set_xlabel('Sensitivity\\n(Detecting true connections)', fontsize=12)\n", + "ax.set_ylabel('Specificity\\n(Rejecting volume conduction)', fontsize=12)\n", + "ax.set_xlim(0, 1)\n", + "ax.set_ylim(0, 1)\n", + "\n", + "# Annotations\n", + "ax.annotate('PLV: Finds all\\nincluding false +', xy=(0.9, 0.5), xytext=(0.65, 0.3),\n", + " fontsize=10, ha='center',\n", + " arrowprops=dict(arrowstyle='->', color='gray'))\n", + "ax.annotate('PLI: Confident but\\nmay miss some', xy=(0.5, 0.85), xytext=(0.25, 0.7),\n", + " fontsize=10, ha='center',\n", + " arrowprops=dict(arrowstyle='->', color='gray'))\n", + "\n", + "ax.legend(loc='lower right')\n", + "ax.set_title('PLV vs PLI: The Sensitivity-Specificity Trade-off\\n(No free lunch!)', \n", + " fontsize=14, fontweight='bold')\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 7: PLI Matrix\n", + "\n", + "Just like PLV, we can compute PLI for all channel pairs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 5: compute_pli_matrix\n", + "\n", + "def compute_pli_matrix(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute PLI matrix for all channel pairs.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Multi-channel data, shape (n_channels, n_samples).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " PLI matrix, shape (n_channels, n_channels).\n", + " Diagonal is 0 (not 1 like PLV, since self-PLI is undefined).\n", + " \"\"\"\n", + " n_channels = data.shape[0]\n", + " \n", + " # Filter all channels\n", + " nyq = fs / 2\n", + " b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + " data_filt = signal.filtfilt(b, a, data, axis=1)\n", + " \n", + " # Extract phases for all channels\n", + " phases = np.angle(signal.hilbert(data_filt, axis=1))\n", + " \n", + " # Compute PLI matrix\n", + " pli_matrix = np.zeros((n_channels, n_channels))\n", + " \n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " pli = compute_pli_from_phases(phases[i], phases[j])\n", + " pli_matrix[i, j] = pli\n", + " pli_matrix[j, i] = pli # Symmetric\n", + " \n", + " return pli_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 6: compute_pli_matrix_bands\n", + "\n", + "STANDARD_BANDS = {\n", + " 'delta': (1, 4),\n", + " 'theta': (4, 8),\n", + " 'alpha': (8, 13),\n", + " 'beta': (13, 30),\n", + " 'gamma': (30, 45)\n", + "}\n", + "\n", + "def compute_pli_matrix_bands(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " bands: dict[str, tuple[float, float]] | None = None\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute PLI matrices for multiple frequency bands.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Multi-channel data, shape (n_channels, n_samples).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " bands : dict[str, tuple[float, float]] | None, optional\n", + " Dictionary of band names to (low, high) frequencies.\n", + " If None, uses standard bands.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " Dictionary of band names to PLI matrices.\n", + " \"\"\"\n", + " if bands is None:\n", + " bands = STANDARD_BANDS\n", + " \n", + " return {name: compute_pli_matrix(data, fs, band) for name, band in bands.items()}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 9: PLV vs PLI matrices\n", + "\n", + "# Generate synthetic data with mix of volume conduction and true connections\n", + "np.random.seed(42)\n", + "fs = 500\n", + "n_samples = 10000\n", + "n_channels = 6\n", + "t = np.arange(n_samples) / fs\n", + "freq = 10\n", + "\n", + "data = np.zeros((n_channels, n_samples))\n", + "\n", + "# Source signals\n", + "source_1 = np.sin(2 * np.pi * freq * t) # Shared source (volume conduction)\n", + "source_2 = np.sin(2 * np.pi * freq * t + np.pi/3) # Delayed source (true connection)\n", + "\n", + "# Channels 0-2: Share source_1 (volume conduction)\n", + "for i in range(3):\n", + " data[i] = source_1 + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Channels 3-5: True connectivity with delays\n", + "delays = [0, 10, 20] # Different delays in samples\n", + "for i, delay in enumerate(delays):\n", + " data[i + 3] = np.roll(source_2, delay) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Compute PLV matrix (for comparison)\n", + "def compute_plv_matrix(data, fs, band):\n", + " n_channels = data.shape[0]\n", + " nyq = fs / 2\n", + " b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + " data_filt = signal.filtfilt(b, a, data, axis=1)\n", + " phases = np.angle(signal.hilbert(data_filt, axis=1))\n", + " \n", + " plv_matrix = np.ones((n_channels, n_channels))\n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " phase_diff = phases[i] - phases[j]\n", + " plv = np.abs(np.mean(np.exp(1j * phase_diff)))\n", + " plv_matrix[i, j] = plv\n", + " plv_matrix[j, i] = plv\n", + " return plv_matrix\n", + "\n", + "band = (8, 12)\n", + "plv_matrix = compute_plv_matrix(data, fs, band)\n", + "pli_matrix = compute_pli_matrix(data, fs, band)\n", + "\n", + "# Plot\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 6))\n", + "\n", + "# PLV\n", + "im1 = axes[0].imshow(plv_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "plt.colorbar(im1, ax=axes[0], label='PLV')\n", + "axes[0].set_title('PLV Matrix\\n(Volume conduction pairs show HIGH)', fontweight='bold')\n", + "axes[0].set_xticks(range(n_channels))\n", + "axes[0].set_yticks(range(n_channels))\n", + "axes[0].set_xticklabels(['VC1', 'VC2', 'VC3', 'True1', 'True2', 'True3'])\n", + "axes[0].set_yticklabels(['VC1', 'VC2', 'VC3', 'True1', 'True2', 'True3'])\n", + "\n", + "# Draw block boundaries\n", + "axes[0].axhline(y=2.5, color='white', linewidth=2)\n", + "axes[0].axvline(x=2.5, color='white', linewidth=2)\n", + "\n", + "# PLI\n", + "im2 = axes[1].imshow(pli_matrix, cmap='viridis', vmin=0, vmax=1)\n", + "plt.colorbar(im2, ax=axes[1], label='PLI')\n", + "axes[1].set_title('PLI Matrix\\n(Volume conduction pairs show LOW)', fontweight='bold')\n", + "axes[1].set_xticks(range(n_channels))\n", + "axes[1].set_yticks(range(n_channels))\n", + "axes[1].set_xticklabels(['VC1', 'VC2', 'VC3', 'True1', 'True2', 'True3'])\n", + "axes[1].set_yticklabels(['VC1', 'VC2', 'VC3', 'True1', 'True2', 'True3'])\n", + "\n", + "# Draw block boundaries\n", + "axes[1].axhline(y=2.5, color='white', linewidth=2)\n", + "axes[1].axvline(x=2.5, color='white', linewidth=2)\n", + "\n", + "plt.suptitle('PLV vs PLI Matrices: Volume Conduction Effects Visible', fontsize=14, fontweight='bold')\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 8: PLI for Hyperscanning" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 7: compute_pli_hyperscanning\n", + "\n", + "def compute_pli_hyperscanning(\n", + " data_p1: NDArray[np.float64],\n", + " data_p2: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute PLI matrices for hyperscanning data.\n", + " \n", + " Parameters\n", + " ----------\n", + " data_p1 : NDArray[np.float64]\n", + " Data from participant 1, shape (n_channels_p1, n_samples).\n", + " data_p2 : NDArray[np.float64]\n", + " Data from participant 2, shape (n_channels_p2, n_samples).\n", + " fs : float\n", + " Sampling frequency in Hz.\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " Dictionary with 'within_p1', 'within_p2', 'between', and 'full' matrices.\n", + " \"\"\"\n", + " n_ch_p1 = data_p1.shape[0]\n", + " n_ch_p2 = data_p2.shape[0]\n", + " \n", + " # Filter and extract phases\n", + " nyq = fs / 2\n", + " b, a = signal.butter(4, [band[0]/nyq, band[1]/nyq], btype='band')\n", + " \n", + " data_p1_filt = signal.filtfilt(b, a, data_p1, axis=1)\n", + " data_p2_filt = signal.filtfilt(b, a, data_p2, axis=1)\n", + " \n", + " phases_p1 = np.angle(signal.hilbert(data_p1_filt, axis=1))\n", + " phases_p2 = np.angle(signal.hilbert(data_p2_filt, axis=1))\n", + " \n", + " # Within-P1 matrix\n", + " within_p1 = np.zeros((n_ch_p1, n_ch_p1))\n", + " for i in range(n_ch_p1):\n", + " for j in range(i + 1, n_ch_p1):\n", + " pli = compute_pli_from_phases(phases_p1[i], phases_p1[j])\n", + " within_p1[i, j] = pli\n", + " within_p1[j, i] = pli\n", + " \n", + " # Within-P2 matrix\n", + " within_p2 = np.zeros((n_ch_p2, n_ch_p2))\n", + " for i in range(n_ch_p2):\n", + " for j in range(i + 1, n_ch_p2):\n", + " pli = compute_pli_from_phases(phases_p2[i], phases_p2[j])\n", + " within_p2[i, j] = pli\n", + " within_p2[j, i] = pli\n", + " \n", + " # Between matrix\n", + " between = np.zeros((n_ch_p1, n_ch_p2))\n", + " for i in range(n_ch_p1):\n", + " for j in range(n_ch_p2):\n", + " between[i, j] = compute_pli_from_phases(phases_p1[i], phases_p2[j])\n", + " \n", + " # Full matrix\n", + " n_total = n_ch_p1 + n_ch_p2\n", + " full = np.zeros((n_total, n_total))\n", + " full[:n_ch_p1, :n_ch_p1] = within_p1\n", + " full[n_ch_p1:, n_ch_p1:] = within_p2\n", + " full[:n_ch_p1, n_ch_p1:] = between\n", + " full[n_ch_p1:, :n_ch_p1] = between.T\n", + " \n", + " return {\n", + " 'within_p1': within_p1,\n", + " 'within_p2': within_p2,\n", + " 'between': between,\n", + " 'full': full\n", + " }" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 9: Signed PLI (Optional)\n", + "\n", + "Standard PLI uses absolute value and loses direction. **Signed PLI** preserves it:\n", + "\n", + "- Range: -1 to +1\n", + "- Positive: Y leads X on average\n", + "- Negative: X leads Y on average\n", + "\n", + "**Caution**: Sign depends on channel order!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Function 8: compute_signed_pli\n", + "\n", + "def compute_signed_pli(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Signed PLI (without absolute value).\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_x : NDArray[np.float64]\n", + " Instantaneous phase of first signal (radians).\n", + " phase_y : NDArray[np.float64]\n", + " Instantaneous phase of second signal (radians).\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Signed PLI between -1 and +1.\n", + " Positive = Y leads X, Negative = X leads Y.\n", + " \"\"\"\n", + " phase_diff = phase_x - phase_y\n", + " signed_pli = np.mean(np.sign(np.sin(phase_diff)))\n", + " return float(signed_pli)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 10: Hands-On Exercises" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: PLI Basics\n", + "# Generate two signals with consistent 45° phase lag\n", + "# Compute PLV and PLI - both should be high (true connectivity)\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Volume Conduction Test\n", + "# Simulate volume conduction (same signal + small noise at two electrodes)\n", + "# Compute PLV → should be high\n", + "# Compute PLI → should be low!\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 3: Sign Distribution\n", + "# Generate phase-locked signals\n", + "# Compute phase differences\n", + "# Histogram the signs (+1, -1)\n", + "# For true connectivity: imbalanced\n", + "# For volume conduction: balanced\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 4: Zero-Lag True Connection\n", + "# Create two signals with genuine zero-lag relationship (common input)\n", + "# Compute PLI → should be low (even though connection is \"real\")\n", + "# This demonstrates PLI's limitation\n", + "\n", + "# YOUR CODE HERE" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **PLV problem**: High for volume conduction (zero-lag)\n", + "\n", + "2. **PLI solution**: Measures asymmetry of phase difference SIGN\n", + " - Formula: PLI = |mean(sign(sin(Δφ)))|\n", + " - Range: 0 (symmetric/volume conduction) to 1 (fully asymmetric)\n", + "\n", + "3. **How it works**:\n", + " - Volume conduction → Δφ ≈ 0 → signs balance → PLI ≈ 0\n", + " - True connectivity → consistent lag → signs imbalanced → PLI > 0\n", + "\n", + "4. **Trade-off**: Higher specificity but lower sensitivity than PLV\n", + " - May miss true zero-lag connections\n", + " - Sign function makes PLI sensitive to noise\n", + "\n", + "5. **For hyperscanning**: PLI is safer for within-brain; between-brain less critical\n", + "\n", + "6. **Signed PLI**: Preserves lead/lag direction\n", + "\n", + "7. **Next**: wPLI (G03) improves noise robustness\n", + "\n", + "---\n", + "\n", + "## Discussion Questions\n", + "\n", + "1. You find PLV = 0.7 but PLI = 0.1 between two nearby electrodes. What's your interpretation?\n", + "\n", + "2. PLI = 0 could mean volume conduction OR true zero-lag coupling. How problematic is this ambiguity?\n", + "\n", + "3. The sign function in PLI is discontinuous. How might this affect PLI stability? (Hint: G03)\n", + "\n", + "4. For between-brain hyperscanning, is PLI necessary since there's no volume conduction?\n", + "\n", + "5. You want to compare connectivity between patients and controls. Would you use PLV or PLI?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/G_phase_based/G03_weighted_phase_lag_index.ipynb b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/G_phase_based/G03_weighted_phase_lag_index.ipynb new file mode 100644 index 0000000..e7a9e1a --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/G_phase_based/G03_weighted_phase_lag_index.ipynb @@ -0,0 +1,2171 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# G03: Weighted Phase Lag Index (wPLI)\n", + "\n", + "**Duration**: 50 minutes \n", + "**Prerequisites**: G02 (Phase Lag Index) \n", + "**Next**: H01 (Envelope Correlation)\n", + "\n", + "---\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "1. Explain PLI's noise sensitivity problem\n", + "2. Define wPLI as a weighted improvement over PLI\n", + "3. Implement wPLI computation\n", + "4. Interpret wPLI values\n", + "5. Compare PLI, wPLI, and PLV across scenarios\n", + "6. Apply wPLI to hyperscanning analysis\n", + "7. Choose appropriately among phase-based metrics" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Required imports\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "from typing import Any\n", + "\n", + "# Visualization settings\n", + "plt.style.use('seaborn-v0_8-whitegrid')\n", + "\n", + "# Color palette\n", + "COLORS = {\n", + " 'signal_1': '#2E86AB',\n", + " 'signal_2': '#E94F37',\n", + " 'accent': '#A23B72',\n", + " 'highlight': '#F18F01',\n", + " 'warning': '#C73E1D',\n", + " 'subject_1': '#2E86AB',\n", + " 'subject_2': '#E94F37',\n", + "}\n", + "\n", + "# Random seed for reproducibility\n", + "np.random.seed(42)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 1: The Problem with PLI\n", + "\n", + "In the previous notebook (G02), we learned that **Phase Lag Index (PLI)** offers a crucial advantage over PLV: it's robust to volume conduction because it ignores zero-phase-lag contributions. PLI only considers the *sign* of the phase difference, not its magnitude.\n", + "\n", + "However, this strength comes with a significant **weakness**: the sign function is discontinuous at zero. When phase differences fluctuate around a small positive value, even tiny noise perturbations can push some samples across zero, causing **sign flips**. This happens because:\n", + "\n", + "- A phase difference of +0.01 radians → sign = +1\n", + "- A phase difference of -0.01 radians → sign = -1\n", + "\n", + "These sign flips add noise to the PLI estimate. The problem is **particularly severe** when the true phase difference is small—exactly the situation where we might have genuine connectivity with a small lag. Noise makes the signs appear balanced, artificially reducing PLI toward zero.\n", + "\n", + "**What we need**: A way to weight contributions by how far they are from zero, so that uncertain phase differences near zero contribute less to our estimate." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 1: PLI noise sensitivity illustration\n", + "\n", + "np.random.seed(42)\n", + "n_points = 200\n", + "\n", + "# True phase difference: small positive value (0.15 radians ≈ 8.6°)\n", + "true_lag = 0.15\n", + "noise_std = 0.2\n", + "\n", + "# Phase differences with noise\n", + "phase_diffs = true_lag + np.random.normal(0, noise_std, n_points)\n", + "\n", + "# Compute signs\n", + "signs = np.sign(np.sin(phase_diffs))\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(12, 8))\n", + "\n", + "# Panel 1: Phase differences over time\n", + "ax1 = axes[0, 0]\n", + "time = np.arange(n_points)\n", + "colors = [COLORS['signal_1'] if s > 0 else COLORS['warning'] for s in signs]\n", + "ax1.scatter(time, phase_diffs, c=colors, s=20, alpha=0.7)\n", + "ax1.axhline(0, color='black', linestyle='-', linewidth=2, label='Zero line')\n", + "ax1.axhline(true_lag, color=COLORS['highlight'], linestyle='--', linewidth=2, label=f'True lag = {true_lag:.2f} rad')\n", + "ax1.set_xlabel('Sample', fontsize=11)\n", + "ax1.set_ylabel('Phase difference (rad)', fontsize=11)\n", + "ax1.set_title('Phase differences fluctuating around small positive value', fontsize=12)\n", + "ax1.legend(loc='upper right')\n", + "ax1.set_ylim(-0.8, 0.8)\n", + "\n", + "# Panel 2: Sign series\n", + "ax2 = axes[0, 1]\n", + "ax2.step(time, signs, where='mid', color=COLORS['signal_1'], linewidth=1.5)\n", + "for i, s in enumerate(signs):\n", + " if i > 0 and signs[i] != signs[i-1]:\n", + " ax2.axvline(i, color=COLORS['warning'], alpha=0.3, linewidth=1)\n", + "ax2.axhline(0, color='black', linestyle='-', linewidth=1)\n", + "ax2.set_xlabel('Sample', fontsize=11)\n", + "ax2.set_ylabel('Sign', fontsize=11)\n", + "ax2.set_title('Sign flips caused by noise crossing zero', fontsize=12)\n", + "ax2.set_ylim(-1.5, 1.5)\n", + "ax2.set_yticks([-1, 0, 1])\n", + "\n", + "# Panel 3: Distribution of phase differences\n", + "ax3 = axes[1, 0]\n", + "ax3.hist(phase_diffs, bins=30, color=COLORS['signal_1'], alpha=0.7, edgecolor='white')\n", + "ax3.axvline(0, color='black', linestyle='-', linewidth=2)\n", + "ax3.axvline(true_lag, color=COLORS['highlight'], linestyle='--', linewidth=2, label=f'True lag')\n", + "ax3.axvline(np.mean(phase_diffs), color=COLORS['accent'], linestyle=':', linewidth=2, label=f'Mean = {np.mean(phase_diffs):.3f}')\n", + "ax3.set_xlabel('Phase difference (rad)', fontsize=11)\n", + "ax3.set_ylabel('Count', fontsize=11)\n", + "ax3.set_title('Distribution crosses zero due to noise', fontsize=12)\n", + "ax3.legend()\n", + "\n", + "# Panel 4: PLI calculation breakdown\n", + "ax4 = axes[1, 1]\n", + "n_positive = np.sum(signs > 0)\n", + "n_negative = np.sum(signs < 0)\n", + "pli_value = np.abs(np.mean(signs))\n", + "\n", + "bars = ax4.bar(['Positive (+1)', 'Negative (-1)'], [n_positive, n_negative], \n", + " color=[COLORS['signal_1'], COLORS['warning']], edgecolor='white', linewidth=2)\n", + "ax4.set_ylabel('Count', fontsize=11)\n", + "ax4.set_title(f'Sign balance → PLI = {pli_value:.3f}\\n(Should be higher for true lag!)', fontsize=12)\n", + "\n", + "# Add count labels on bars\n", + "for bar, count in zip(bars, [n_positive, n_negative]):\n", + " ax4.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 2, \n", + " str(count), ha='center', va='bottom', fontsize=12, fontweight='bold')\n", + "\n", + "plt.suptitle('PLI Noise Sensitivity: Small phase differences are unstable', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"True phase lag: {true_lag:.3f} rad ({np.degrees(true_lag):.1f}°)\")\n", + "print(f\"Positive signs: {n_positive}, Negative signs: {n_negative}\")\n", + "print(f\"PLI = |mean(signs)| = |({n_positive} - {n_negative})/{n_points}| = {pli_value:.3f}\")\n", + "print(f\"\\n⚠️ PLI is artificially LOW because noise causes sign flips!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 2: The wPLI Solution — Weighting by Magnitude\n", + "\n", + "The **Weighted Phase Lag Index (wPLI)** addresses PLI's noise sensitivity with a clever insight: **don't give equal weight to all phase differences**.\n", + "\n", + "The key ideas are:\n", + "\n", + "1. **Phase differences near zero** are more likely to be:\n", + " - Volume conduction artifacts (which we want to ignore)\n", + " - Noise fluctuations (which destabilize our estimate)\n", + " - Therefore, give them **LESS weight**\n", + "\n", + "2. **Phase differences far from zero** are more likely to be:\n", + " - Real neural connectivity\n", + " - Therefore, give them **MORE weight**\n", + "\n", + "**How do we implement this weighting?** We use **|sin(Δφ)|** as the weight:\n", + "\n", + "- When Δφ = 0 or ±π → sin(Δφ) = 0 → weight = 0 (no contribution)\n", + "- When Δφ = ±π/2 → |sin(Δφ)| = 1 → maximum weight\n", + "\n", + "This elegantly down-weights contributions from phase differences near zero (where sign flips are likely) while preserving the volume conduction robustness." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 2: Weighting function\n", + "\n", + "phase_range = np.linspace(-np.pi, np.pi, 500)\n", + "weight = np.abs(np.sin(phase_range))\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 5))\n", + "\n", + "ax.fill_between(phase_range, weight, alpha=0.3, color=COLORS['signal_1'])\n", + "ax.plot(phase_range, weight, color=COLORS['signal_1'], linewidth=3, label='Weight = |sin(Δφ)|')\n", + "\n", + "# Mark key points\n", + "key_points = [(-np.pi, 0), (-np.pi/2, 1), (0, 0), (np.pi/2, 1), (np.pi, 0)]\n", + "labels = ['-π', '-π/2', '0', 'π/2', 'π']\n", + "for (x, y), label in zip(key_points, labels):\n", + " ax.plot(x, y, 'o', markersize=12, color=COLORS['highlight'], zorder=5)\n", + " offset = 0.12 if y == 0 else -0.15\n", + " ax.annotate(f'({label}, {y})', (x, y + offset), ha='center', fontsize=10, fontweight='bold')\n", + "\n", + "# Highlight zero-weight regions\n", + "ax.axhspan(0, 0.1, alpha=0.2, color=COLORS['warning'], label='Low weight zone (near 0, ±π)')\n", + "\n", + "ax.set_xlabel('Phase difference Δφ (rad)', fontsize=12)\n", + "ax.set_ylabel('Weight', fontsize=12)\n", + "ax.set_title('wPLI Weighting Function: Zero weight at 0 and ±π', fontsize=14, fontweight='bold')\n", + "ax.set_xticks([-np.pi, -np.pi/2, 0, np.pi/2, np.pi])\n", + "ax.set_xticklabels(['-π', '-π/2', '0', 'π/2', 'π'])\n", + "ax.set_xlim(-np.pi - 0.3, np.pi + 0.3)\n", + "ax.set_ylim(-0.1, 1.2)\n", + "ax.legend(loc='upper right')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 3: PLI vs wPLI weighting comparison\n", + "\n", + "phase_range = np.linspace(-np.pi, np.pi, 500)\n", + "\n", + "# PLI contribution: just the sign (constant magnitude)\n", + "pli_contribution = np.sign(np.sin(phase_range))\n", + "\n", + "# wPLI contribution: sign weighted by magnitude\n", + "wpli_contribution = np.sin(phase_range) # sin already includes sign and magnitude\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# PLI weighting\n", + "ax1 = axes[0]\n", + "colors_pli = [COLORS['signal_1'] if s > 0 else COLORS['signal_2'] for s in pli_contribution]\n", + "ax1.fill_between(phase_range, 0, pli_contribution, where=(pli_contribution > 0), \n", + " color=COLORS['signal_1'], alpha=0.5, label='Positive (+1)')\n", + "ax1.fill_between(phase_range, 0, pli_contribution, where=(pli_contribution < 0), \n", + " color=COLORS['signal_2'], alpha=0.5, label='Negative (-1)')\n", + "ax1.axhline(0, color='black', linewidth=1)\n", + "ax1.axvline(0, color='black', linewidth=1, linestyle='--', alpha=0.5)\n", + "ax1.set_xlabel('Phase difference Δφ (rad)', fontsize=12)\n", + "ax1.set_ylabel('Contribution to PLI', fontsize=12)\n", + "ax1.set_title('PLI: All non-zero phases contribute equally\\n(sign only, magnitude ignored)', fontsize=12, fontweight='bold')\n", + "ax1.set_xticks([-np.pi, -np.pi/2, 0, np.pi/2, np.pi])\n", + "ax1.set_xticklabels(['-π', '-π/2', '0', 'π/2', 'π'])\n", + "ax1.set_ylim(-1.5, 1.5)\n", + "ax1.legend(loc='upper right')\n", + "\n", + "# wPLI weighting\n", + "ax2 = axes[1]\n", + "ax2.fill_between(phase_range, 0, wpli_contribution, where=(wpli_contribution > 0), \n", + " color=COLORS['signal_1'], alpha=0.5, label='Positive')\n", + "ax2.fill_between(phase_range, 0, wpli_contribution, where=(wpli_contribution < 0), \n", + " color=COLORS['signal_2'], alpha=0.5, label='Negative')\n", + "ax2.axhline(0, color='black', linewidth=1)\n", + "ax2.axvline(0, color='black', linewidth=1, linestyle='--', alpha=0.5)\n", + "ax2.set_xlabel('Phase difference Δφ (rad)', fontsize=12)\n", + "ax2.set_ylabel('Contribution to wPLI', fontsize=12)\n", + "ax2.set_title('wPLI: Phases near zero contribute LESS\\n(weighted by |sin(Δφ)|)', fontsize=12, fontweight='bold')\n", + "ax2.set_xticks([-np.pi, -np.pi/2, 0, np.pi/2, np.pi])\n", + "ax2.set_xticklabels(['-π', '-π/2', '0', 'π/2', 'π'])\n", + "ax2.set_ylim(-1.5, 1.5)\n", + "ax2.legend(loc='upper right')\n", + "\n", + "plt.suptitle('PLI vs wPLI Weighting Scheme', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 3: The wPLI Formula\n", + "\n", + "The **Weighted Phase Lag Index** was introduced by Vinck et al. (2011). The formula can be expressed in terms of the cross-spectrum or phase differences:\n", + "\n", + "### Cross-spectrum formulation:\n", + "$$wPLI = \\frac{|\\langle |\\text{Im}(S_{xy})| \\cdot \\text{sign}(\\text{Im}(S_{xy})) \\rangle|}{\\langle |\\text{Im}(S_{xy})| \\rangle}$$\n", + "\n", + "### Phase difference formulation:\n", + "$$wPLI = \\frac{|\\sum_t |\\sin(\\Delta\\phi_t)| \\cdot \\text{sign}(\\sin(\\Delta\\phi_t))|}{\\sum_t |\\sin(\\Delta\\phi_t)|}$$\n", + "\n", + "### Simplified form:\n", + "$$wPLI = \\frac{|\\sum_t \\sin(\\Delta\\phi_t)|}{\\sum_t |\\sin(\\Delta\\phi_t)|}$$\n", + "\n", + "**Breaking it down:**\n", + "\n", + "- **Numerator**: Sum of sin(Δφ) values (signed) → can cancel if balanced\n", + "- **Denominator**: Sum of |sin(Δφ)| values (always positive) → normalization\n", + "- **Result**: Ratio measures the asymmetry, weighted by magnitude\n", + "\n", + "### Properties:\n", + "\n", + "- **Range**: 0 to 1\n", + "- **wPLI = 0**: Symmetric phase distribution OR phases concentrated near zero\n", + "- **wPLI = 1**: All phases at exactly ±π/2 with consistent sign\n", + "- **Key advantage**: Less sensitive to noise near zero than PLI" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: Formula breakdown\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "# Example phase differences\n", + "np.random.seed(123)\n", + "example_phases = np.array([0.8, -0.2, 0.9, 0.1, -0.1, 0.7, -0.3, 0.6, 0.4, -0.15])\n", + "\n", + "# Panel 1: sin(Δφ) values\n", + "ax1 = axes[0]\n", + "sin_values = np.sin(example_phases)\n", + "colors = [COLORS['signal_1'] if v > 0 else COLORS['signal_2'] for v in sin_values]\n", + "bars1 = ax1.bar(range(len(sin_values)), sin_values, color=colors, edgecolor='white', linewidth=1)\n", + "ax1.axhline(0, color='black', linewidth=1)\n", + "ax1.set_xlabel('Sample', fontsize=11)\n", + "ax1.set_ylabel('sin(Δφ)', fontsize=11)\n", + "ax1.set_title('Step 1: Compute sin(Δφ)\\n(signed values)', fontsize=12, fontweight='bold')\n", + "ax1.set_ylim(-1, 1)\n", + "\n", + "# Panel 2: Numerator and Denominator\n", + "ax2 = axes[1]\n", + "numerator = np.abs(np.sum(sin_values))\n", + "denominator = np.sum(np.abs(sin_values))\n", + "bars2 = ax2.bar(['|Σ sin(Δφ)|\\n(Numerator)', 'Σ |sin(Δφ)|\\n(Denominator)'], \n", + " [numerator, denominator],\n", + " color=[COLORS['signal_1'], COLORS['accent']], edgecolor='white', linewidth=2)\n", + "for bar, val in zip(bars2, [numerator, denominator]):\n", + " ax2.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.1, \n", + " f'{val:.3f}', ha='center', fontsize=12, fontweight='bold')\n", + "ax2.set_ylabel('Value', fontsize=11)\n", + "ax2.set_title('Step 2: Sum signed vs unsigned', fontsize=12, fontweight='bold')\n", + "ax2.set_ylim(0, 6)\n", + "\n", + "# Panel 3: Final wPLI\n", + "ax3 = axes[2]\n", + "wpli_val = numerator / denominator if denominator > 0 else 0\n", + "ax3.bar(['wPLI'], [wpli_val], color=COLORS['highlight'], edgecolor='white', linewidth=2, width=0.5)\n", + "ax3.text(0, wpli_val + 0.05, f'{wpli_val:.3f}', ha='center', fontsize=14, fontweight='bold')\n", + "ax3.set_ylabel('wPLI', fontsize=11)\n", + "ax3.set_title('Step 3: Ratio\\nwPLI = Num / Denom', fontsize=12, fontweight='bold')\n", + "ax3.set_ylim(0, 1.2)\n", + "ax3.axhline(1.0, color='gray', linestyle='--', alpha=0.5, label='Maximum = 1')\n", + "ax3.legend()\n", + "\n", + "plt.suptitle('wPLI Formula Components', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"sin(Δφ) values: {sin_values.round(3)}\")\n", + "print(f\"Numerator: |Σ sin(Δφ)| = |{np.sum(sin_values):.3f}| = {numerator:.3f}\")\n", + "print(f\"Denominator: Σ |sin(Δφ)| = {denominator:.3f}\")\n", + "print(f\"wPLI = {numerator:.3f} / {denominator:.3f} = {wpli_val:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 4: Implementing wPLI\n", + "\n", + "Now let's implement the wPLI computation. The pipeline is:\n", + "\n", + "1. **Band-pass filter** both signals\n", + "2. **Extract phases** using Hilbert transform\n", + "3. **Compute phase differences** Δφ(t)\n", + "4. **Compute sin(Δφ(t))** for each time point\n", + "5. **Numerator**: |sum of sin values|\n", + "6. **Denominator**: sum of |sin values|\n", + "7. **wPLI** = numerator / denominator" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def bandpass_filter(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " order: int = 4\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Apply bandpass filter to signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Input signal (1D or 2D with shape n_channels x n_samples)\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " order : int, optional\n", + " Filter order (default: 4)\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Filtered signal\n", + " \"\"\"\n", + " nyq = fs / 2\n", + " low, high = band[0] / nyq, band[1] / nyq\n", + " b, a = signal.butter(order, [low, high], btype='band')\n", + " return signal.filtfilt(b, a, data, axis=-1)\n", + "\n", + "\n", + "def extract_phase(\n", + " data: NDArray[np.float64]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Extract instantaneous phase using Hilbert transform.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Input signal (1D or 2D)\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Instantaneous phase in radians [-π, π]\n", + " \"\"\"\n", + " analytic = signal.hilbert(data, axis=-1)\n", + " return np.angle(analytic)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_wpli_from_phases(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Weighted Phase Lag Index from pre-computed phases.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_x : NDArray[np.float64]\n", + " Instantaneous phase of signal x (1D array)\n", + " phase_y : NDArray[np.float64]\n", + " Instantaneous phase of signal y (1D array)\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " wPLI value in range [0, 1]\n", + " \n", + " Notes\n", + " -----\n", + " wPLI = |Σ sin(Δφ)| / Σ |sin(Δφ)|\n", + " \n", + " This formulation weights phase differences by their distance from\n", + " zero, making wPLI more robust to noise than PLI.\n", + " \"\"\"\n", + " # Compute phase differences\n", + " phase_diff = phase_x - phase_y\n", + " \n", + " # Compute sin of phase differences\n", + " sin_phase_diff = np.sin(phase_diff)\n", + " \n", + " # Numerator: absolute value of sum (signed)\n", + " numerator = np.abs(np.sum(sin_phase_diff))\n", + " \n", + " # Denominator: sum of absolute values (unsigned)\n", + " denominator = np.sum(np.abs(sin_phase_diff))\n", + " \n", + " # Handle division by zero\n", + " if denominator == 0:\n", + " return 0.0\n", + " \n", + " wpli = numerator / denominator\n", + " \n", + " # Clip to [0, 1] for numerical stability\n", + " return float(np.clip(wpli, 0.0, 1.0))\n", + "\n", + "\n", + "def compute_wpli(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " filter_order: int = 4\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Weighted Phase Lag Index between two signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal (1D array)\n", + " y : NDArray[np.float64]\n", + " Second signal (1D array)\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " filter_order : int, optional\n", + " Butterworth filter order (default: 4)\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " wPLI value in range [0, 1]\n", + " \"\"\"\n", + " # Bandpass filter\n", + " x_filt = bandpass_filter(x, fs, band, filter_order)\n", + " y_filt = bandpass_filter(y, fs, band, filter_order)\n", + " \n", + " # Extract phases\n", + " phase_x = extract_phase(x_filt)\n", + " phase_y = extract_phase(y_filt)\n", + " \n", + " return compute_wpli_from_phases(phase_x, phase_y)\n", + "\n", + "\n", + "def compute_wpli_from_cross_spectrum(\n", + " cross_spectrum: NDArray[np.complex128]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute wPLI from cross-spectral density.\n", + " \n", + " Parameters\n", + " ----------\n", + " cross_spectrum : NDArray[np.complex128]\n", + " Complex cross-spectral density values\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " wPLI value in range [0, 1]\n", + " \n", + " Notes\n", + " -----\n", + " Uses the imaginary part of the cross-spectrum:\n", + " wPLI = |mean(|Im(Sxy)| * sign(Im(Sxy)))| / mean(|Im(Sxy)|)\n", + " \"\"\"\n", + " # Get imaginary part\n", + " imag = np.imag(cross_spectrum)\n", + " \n", + " # Numerator: |sum of signed imaginary parts weighted by magnitude|\n", + " numerator = np.abs(np.sum(np.abs(imag) * np.sign(imag)))\n", + " \n", + " # Denominator: sum of |imaginary parts|\n", + " denominator = np.sum(np.abs(imag))\n", + " \n", + " if denominator == 0:\n", + " return 0.0\n", + " \n", + " return float(np.clip(numerator / denominator, 0.0, 1.0))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: wPLI computation pipeline\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(14, 8))\n", + "\n", + "# Generate example signals\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "duration = 2.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "freq = 10.0\n", + "phase_lag = np.pi / 3 # 60 degrees\n", + "\n", + "# Create phase-locked signals\n", + "x = np.sin(2 * np.pi * freq * t) + 0.3 * np.random.randn(n_samples)\n", + "y = np.sin(2 * np.pi * freq * t + phase_lag) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Step 1: Raw signals\n", + "ax1 = axes[0, 0]\n", + "ax1.plot(t[:200], x[:200], color=COLORS['signal_1'], linewidth=1.5, label='Signal X')\n", + "ax1.plot(t[:200], y[:200], color=COLORS['signal_2'], linewidth=1.5, label='Signal Y')\n", + "ax1.set_xlabel('Time (s)', fontsize=10)\n", + "ax1.set_ylabel('Amplitude', fontsize=10)\n", + "ax1.set_title('Step 1: Raw signals', fontsize=11, fontweight='bold')\n", + "ax1.legend(loc='upper right', fontsize=9)\n", + "\n", + "# Step 2: Bandpass filter\n", + "ax2 = axes[0, 1]\n", + "x_filt = bandpass_filter(x, fs, (8, 12))\n", + "y_filt = bandpass_filter(y, fs, (8, 12))\n", + "ax2.plot(t[:200], x_filt[:200], color=COLORS['signal_1'], linewidth=1.5, label='X filtered')\n", + "ax2.plot(t[:200], y_filt[:200], color=COLORS['signal_2'], linewidth=1.5, label='Y filtered')\n", + "ax2.set_xlabel('Time (s)', fontsize=10)\n", + "ax2.set_ylabel('Amplitude', fontsize=10)\n", + "ax2.set_title('Step 2: Bandpass filter (8-12 Hz)', fontsize=11, fontweight='bold')\n", + "ax2.legend(loc='upper right', fontsize=9)\n", + "\n", + "# Step 3: Extract phases\n", + "ax3 = axes[0, 2]\n", + "phase_x = extract_phase(x_filt)\n", + "phase_y = extract_phase(y_filt)\n", + "ax3.plot(t[:200], phase_x[:200], color=COLORS['signal_1'], linewidth=1.5, label='Phase X')\n", + "ax3.plot(t[:200], phase_y[:200], color=COLORS['signal_2'], linewidth=1.5, label='Phase Y')\n", + "ax3.set_xlabel('Time (s)', fontsize=10)\n", + "ax3.set_ylabel('Phase (rad)', fontsize=10)\n", + "ax3.set_title('Step 3: Extract phases (Hilbert)', fontsize=11, fontweight='bold')\n", + "ax3.legend(loc='upper right', fontsize=9)\n", + "\n", + "# Step 4: Phase differences\n", + "ax4 = axes[1, 0]\n", + "phase_diff = phase_x - phase_y\n", + "ax4.plot(t[:200], phase_diff[:200], color=COLORS['accent'], linewidth=1.5)\n", + "ax4.axhline(0, color='black', linestyle='--', alpha=0.5)\n", + "ax4.axhline(phase_lag, color=COLORS['highlight'], linestyle='--', label=f'True lag = {phase_lag:.2f}')\n", + "ax4.set_xlabel('Time (s)', fontsize=10)\n", + "ax4.set_ylabel('Δφ (rad)', fontsize=10)\n", + "ax4.set_title('Step 4: Phase differences', fontsize=11, fontweight='bold')\n", + "ax4.legend(loc='upper right', fontsize=9)\n", + "\n", + "# Step 5: sin(Δφ)\n", + "ax5 = axes[1, 1]\n", + "sin_diff = np.sin(phase_diff)\n", + "ax5.plot(t[:200], sin_diff[:200], color=COLORS['signal_1'], linewidth=1.5)\n", + "ax5.axhline(0, color='black', linestyle='--', alpha=0.5)\n", + "ax5.fill_between(t[:200], 0, sin_diff[:200], where=(sin_diff[:200] > 0), \n", + " color=COLORS['signal_1'], alpha=0.3)\n", + "ax5.fill_between(t[:200], 0, sin_diff[:200], where=(sin_diff[:200] < 0), \n", + " color=COLORS['signal_2'], alpha=0.3)\n", + "ax5.set_xlabel('Time (s)', fontsize=10)\n", + "ax5.set_ylabel('sin(Δφ)', fontsize=10)\n", + "ax5.set_title('Step 5: Compute sin(Δφ)', fontsize=11, fontweight='bold')\n", + "\n", + "# Step 6: Final wPLI\n", + "ax6 = axes[1, 2]\n", + "numerator = np.abs(np.sum(sin_diff))\n", + "denominator = np.sum(np.abs(sin_diff))\n", + "wpli_val = numerator / denominator\n", + "\n", + "bars = ax6.bar(['Numerator\\n|Σ sin(Δφ)|', 'Denominator\\nΣ |sin(Δφ)|', 'wPLI'], \n", + " [numerator, denominator, wpli_val * denominator], # Scale for visibility\n", + " color=[COLORS['signal_1'], COLORS['accent'], COLORS['highlight']],\n", + " edgecolor='white', linewidth=2)\n", + "\n", + "# Add text\n", + "ax6.text(0, numerator + 10, f'{numerator:.1f}', ha='center', fontsize=11, fontweight='bold')\n", + "ax6.text(1, denominator + 10, f'{denominator:.1f}', ha='center', fontsize=11, fontweight='bold')\n", + "ax6.text(2, wpli_val * denominator + 10, f'wPLI = {wpli_val:.3f}', ha='center', fontsize=11, fontweight='bold')\n", + "ax6.set_ylabel('Value', fontsize=10)\n", + "ax6.set_title('Step 6: Compute wPLI', fontsize=11, fontweight='bold')\n", + "\n", + "plt.suptitle('wPLI Computation Pipeline', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\nFinal wPLI = {wpli_val:.4f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 5: wPLI vs PLI — Noise Robustness\n", + "\n", + "Now let's demonstrate the key advantage of wPLI: **better noise robustness**, especially for small phase lags." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_pli_from_phases(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Phase Lag Index from pre-computed phases.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_x : NDArray[np.float64]\n", + " Instantaneous phase of signal x\n", + " phase_y : NDArray[np.float64]\n", + " Instantaneous phase of signal y\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " PLI value in range [0, 1]\n", + " \"\"\"\n", + " phase_diff = phase_x - phase_y\n", + " signs = np.sign(np.sin(phase_diff))\n", + " return float(np.abs(np.mean(signs)))\n", + "\n", + "\n", + "def compute_plv_from_phases(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Phase Locking Value from pre-computed phases.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_x : NDArray[np.float64]\n", + " Instantaneous phase of signal x\n", + " phase_y : NDArray[np.float64]\n", + " Instantaneous phase of signal y\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " PLV value in range [0, 1]\n", + " \"\"\"\n", + " phase_diff = phase_x - phase_y\n", + " return float(np.abs(np.mean(np.exp(1j * phase_diff))))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compare_pli_wpli_noise(\n", + " n_samples: int = 10000,\n", + " fs: float = 500.0,\n", + " frequency: float = 10.0,\n", + " true_phase_lag: float = 0.2,\n", + " noise_levels: list[float] | None = None,\n", + " seed: int | None = None\n", + ") -> dict[str, Any]:\n", + " \"\"\"\n", + " Compare PLI and wPLI robustness to noise.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int, optional\n", + " Number of samples (default: 10000)\n", + " fs : float, optional\n", + " Sampling frequency in Hz (default: 500.0)\n", + " frequency : float, optional\n", + " Signal frequency in Hz (default: 10.0)\n", + " true_phase_lag : float, optional\n", + " True phase lag in radians (default: 0.2, small lag)\n", + " noise_levels : list[float], optional\n", + " List of noise standard deviations (default: [0.0, 0.1, 0.2, 0.5, 1.0])\n", + " seed : int, optional\n", + " Random seed for reproducibility\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, Any]\n", + " Dictionary containing:\n", + " - noise_levels: list of noise levels\n", + " - plv_values: list of PLV values\n", + " - pli_values: list of PLI values\n", + " - wpli_values: list of wPLI values\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " if noise_levels is None:\n", + " noise_levels = [0.0, 0.1, 0.2, 0.3, 0.5, 0.7, 1.0, 1.5]\n", + " \n", + " t = np.arange(n_samples) / fs\n", + " \n", + " plv_values = []\n", + " pli_values = []\n", + " wpli_values = []\n", + " \n", + " for noise_std in noise_levels:\n", + " # Generate clean signals with true phase lag\n", + " x_clean = np.sin(2 * np.pi * frequency * t)\n", + " y_clean = np.sin(2 * np.pi * frequency * t + true_phase_lag)\n", + " \n", + " # Add noise\n", + " x = x_clean + noise_std * np.random.randn(n_samples)\n", + " y = y_clean + noise_std * np.random.randn(n_samples)\n", + " \n", + " # Filter\n", + " band = (frequency - 2, frequency + 2)\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " \n", + " # Extract phases\n", + " phase_x = extract_phase(x_filt)\n", + " phase_y = extract_phase(y_filt)\n", + " \n", + " # Compute metrics\n", + " plv_values.append(compute_plv_from_phases(phase_x, phase_y))\n", + " pli_values.append(compute_pli_from_phases(phase_x, phase_y))\n", + " wpli_values.append(compute_wpli_from_phases(phase_x, phase_y))\n", + " \n", + " return {\n", + " 'noise_levels': noise_levels,\n", + " 'plv_values': plv_values,\n", + " 'pli_values': pli_values,\n", + " 'wpli_values': wpli_values\n", + " }\n", + "\n", + "\n", + "# Run comparison with SMALL phase lag\n", + "results = compare_pli_wpli_noise(true_phase_lag=0.2, seed=42) # 0.2 rad ≈ 11.5°\n", + "\n", + "print(f\"True phase lag: 0.2 rad ({np.degrees(0.2):.1f}°)\")\n", + "print(f\"\\nNoise Level | PLV | PLI | wPLI\")\n", + "print(\"-\" * 40)\n", + "for nl, plv, pli, wpli in zip(results['noise_levels'], results['plv_values'], \n", + " results['pli_values'], results['wpli_values']):\n", + " print(f\" {nl:.1f} | {plv:.3f} | {pli:.3f} | {wpli:.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6: Noise robustness comparison\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Panel 1: All three metrics vs noise\n", + "ax1 = axes[0]\n", + "ax1.plot(results['noise_levels'], results['plv_values'], 'o-', \n", + " color=COLORS['signal_1'], linewidth=2, markersize=8, label='PLV')\n", + "ax1.plot(results['noise_levels'], results['pli_values'], 's-', \n", + " color=COLORS['signal_2'], linewidth=2, markersize=8, label='PLI')\n", + "ax1.plot(results['noise_levels'], results['wpli_values'], '^-', \n", + " color=COLORS['highlight'], linewidth=2, markersize=8, label='wPLI')\n", + "\n", + "ax1.set_xlabel('Noise Level (std)', fontsize=12)\n", + "ax1.set_ylabel('Connectivity Value', fontsize=12)\n", + "ax1.set_title(f'Noise Robustness Comparison\\n(True phase lag = 0.2 rad ≈ 11.5°)', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right', fontsize=11)\n", + "ax1.set_ylim(0, 1.05)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Panel 2: PLI vs wPLI focus\n", + "ax2 = axes[1]\n", + "ax2.plot(results['noise_levels'], results['pli_values'], 's-', \n", + " color=COLORS['signal_2'], linewidth=2.5, markersize=10, label='PLI')\n", + "ax2.plot(results['noise_levels'], results['wpli_values'], '^-', \n", + " color=COLORS['highlight'], linewidth=2.5, markersize=10, label='wPLI')\n", + "\n", + "# Shade the region where wPLI outperforms PLI\n", + "ax2.fill_between(results['noise_levels'], results['pli_values'], results['wpli_values'],\n", + " where=[w > p for w, p in zip(results['wpli_values'], results['pli_values'])],\n", + " color=COLORS['highlight'], alpha=0.2, label='wPLI advantage')\n", + "\n", + "ax2.set_xlabel('Noise Level (std)', fontsize=12)\n", + "ax2.set_ylabel('Connectivity Value', fontsize=12)\n", + "ax2.set_title('wPLI is more robust to noise than PLI', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right', fontsize=11)\n", + "ax2.set_ylim(0, 1.05)\n", + "ax2.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n💡 Key observation: wPLI degrades more slowly than PLI as noise increases.\")\n", + "print(\" This is especially important for small phase lags where sign flips are common.\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 7: Phase difference distributions at different noise levels\n", + "\n", + "np.random.seed(42)\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "frequency = 10.0\n", + "true_lag = 0.2\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "noise_levels_demo = [0.1, 0.5, 1.0]\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 4))\n", + "\n", + "for ax, noise_std in zip(axes, noise_levels_demo):\n", + " # Generate signals\n", + " x = np.sin(2 * np.pi * frequency * t) + noise_std * np.random.randn(n_samples)\n", + " y = np.sin(2 * np.pi * frequency * t + true_lag) + noise_std * np.random.randn(n_samples)\n", + " \n", + " # Filter and extract phases\n", + " x_filt = bandpass_filter(x, fs, (frequency - 2, frequency + 2))\n", + " y_filt = bandpass_filter(y, fs, (frequency - 2, frequency + 2))\n", + " phase_x = extract_phase(x_filt)\n", + " phase_y = extract_phase(y_filt)\n", + " phase_diff = phase_x - phase_y\n", + " \n", + " # Wrap to [-π, π]\n", + " phase_diff = np.arctan2(np.sin(phase_diff), np.cos(phase_diff))\n", + " \n", + " # Compute metrics\n", + " pli = compute_pli_from_phases(phase_x, phase_y)\n", + " wpli = compute_wpli_from_phases(phase_x, phase_y)\n", + " \n", + " # Plot histogram\n", + " ax.hist(phase_diff, bins=50, color=COLORS['signal_1'], alpha=0.7, \n", + " edgecolor='white', density=True)\n", + " ax.axvline(0, color='black', linestyle='-', linewidth=2, label='Zero')\n", + " ax.axvline(true_lag, color=COLORS['highlight'], linestyle='--', linewidth=2, label='True lag')\n", + " \n", + " # Count zero-crossings\n", + " n_negative = np.sum(np.sin(phase_diff) < 0)\n", + " pct_negative = 100 * n_negative / n_samples\n", + " \n", + " ax.set_xlabel('Phase difference (rad)', fontsize=11)\n", + " ax.set_ylabel('Density', fontsize=11)\n", + " ax.set_title(f'Noise = {noise_std}\\nPLI = {pli:.3f}, wPLI = {wpli:.3f}\\n({pct_negative:.0f}% cross zero)', \n", + " fontsize=11, fontweight='bold')\n", + " ax.set_xlim(-1.5, 1.5)\n", + " ax.legend(loc='upper right', fontsize=9)\n", + "\n", + "plt.suptitle('Noise causes zero-crossing, destabilizing PLI more than wPLI', \n", + " fontsize=13, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 6: wPLI vs Volume Conduction\n", + "\n", + "An important question: **Does wPLI maintain PLI's robustness to volume conduction?**\n", + "\n", + "Yes! Here's why:\n", + "- Volume conduction → Δφ ≈ 0\n", + "- Therefore sin(Δφ) ≈ 0\n", + "- Both numerator AND denominator are small\n", + "- But critically: the numerator (signed sum) averages to ~0 due to noise symmetry\n", + "- Result: wPLI ≈ 0\n", + "\n", + "wPLI inherits PLI's key strength while improving noise robustness." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def demonstrate_wpli_volume_conduction(\n", + " n_samples: int = 10000,\n", + " fs: float = 500.0,\n", + " frequency: float = 10.0,\n", + " seed: int | None = None\n", + ") -> dict[str, Any]:\n", + " \"\"\"\n", + " Compare PLV, PLI, and wPLI for volume conduction vs true connectivity.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int, optional\n", + " Number of samples (default: 10000)\n", + " fs : float, optional\n", + " Sampling frequency in Hz (default: 500.0)\n", + " frequency : float, optional\n", + " Signal frequency in Hz (default: 10.0)\n", + " seed : int, optional\n", + " Random seed for reproducibility\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, Any]\n", + " Dictionary containing PLV, PLI, wPLI for both scenarios\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " t = np.arange(n_samples) / fs\n", + " band = (frequency - 2, frequency + 2)\n", + " \n", + " # === Volume Conduction Scenario ===\n", + " # Same source, zero phase lag, slight amplitude difference\n", + " source = np.sin(2 * np.pi * frequency * t) + 0.3 * np.random.randn(n_samples)\n", + " x_vc = source + 0.1 * np.random.randn(n_samples)\n", + " y_vc = 0.8 * source + 0.1 * np.random.randn(n_samples)\n", + " \n", + " x_vc_filt = bandpass_filter(x_vc, fs, band)\n", + " y_vc_filt = bandpass_filter(y_vc, fs, band)\n", + " phase_x_vc = extract_phase(x_vc_filt)\n", + " phase_y_vc = extract_phase(y_vc_filt)\n", + " \n", + " plv_vc = compute_plv_from_phases(phase_x_vc, phase_y_vc)\n", + " pli_vc = compute_pli_from_phases(phase_x_vc, phase_y_vc)\n", + " wpli_vc = compute_wpli_from_phases(phase_x_vc, phase_y_vc)\n", + " \n", + " # === True Connectivity Scenario ===\n", + " # Genuine phase lag (π/4 radians)\n", + " true_lag = np.pi / 4\n", + " x_tc = np.sin(2 * np.pi * frequency * t) + 0.3 * np.random.randn(n_samples)\n", + " y_tc = np.sin(2 * np.pi * frequency * t + true_lag) + 0.3 * np.random.randn(n_samples)\n", + " \n", + " x_tc_filt = bandpass_filter(x_tc, fs, band)\n", + " y_tc_filt = bandpass_filter(y_tc, fs, band)\n", + " phase_x_tc = extract_phase(x_tc_filt)\n", + " phase_y_tc = extract_phase(y_tc_filt)\n", + " \n", + " plv_tc = compute_plv_from_phases(phase_x_tc, phase_y_tc)\n", + " pli_tc = compute_pli_from_phases(phase_x_tc, phase_y_tc)\n", + " wpli_tc = compute_wpli_from_phases(phase_x_tc, phase_y_tc)\n", + " \n", + " # === No Connectivity Scenario ===\n", + " x_nc = np.sin(2 * np.pi * frequency * t) + 0.3 * np.random.randn(n_samples)\n", + " y_nc = np.sin(2 * np.pi * frequency * t + np.random.uniform(0, 2*np.pi)) + 0.3 * np.random.randn(n_samples)\n", + " # Add phase jitter to destroy coherence\n", + " y_nc = y_nc * np.sign(np.random.randn(n_samples))\n", + " \n", + " x_nc_filt = bandpass_filter(x_nc, fs, band)\n", + " y_nc_filt = bandpass_filter(y_nc, fs, band)\n", + " phase_x_nc = extract_phase(x_nc_filt)\n", + " phase_y_nc = extract_phase(y_nc_filt)\n", + " \n", + " plv_nc = compute_plv_from_phases(phase_x_nc, phase_y_nc)\n", + " pli_nc = compute_pli_from_phases(phase_x_nc, phase_y_nc)\n", + " wpli_nc = compute_wpli_from_phases(phase_x_nc, phase_y_nc)\n", + " \n", + " return {\n", + " 'plv_vc': plv_vc, 'pli_vc': pli_vc, 'wpli_vc': wpli_vc,\n", + " 'plv_tc': plv_tc, 'pli_tc': pli_tc, 'wpli_tc': wpli_tc,\n", + " 'plv_nc': plv_nc, 'pli_nc': pli_nc, 'wpli_nc': wpli_nc\n", + " }\n", + "\n", + "\n", + "results_vc = demonstrate_wpli_volume_conduction(seed=42)\n", + "\n", + "print(\"Three-Metric Comparison:\")\n", + "print(\"=\" * 50)\n", + "print(f\"{'Scenario':<25} {'PLV':>8} {'PLI':>8} {'wPLI':>8}\")\n", + "print(\"-\" * 50)\n", + "print(f\"{'Volume Conduction':<25} {results_vc['plv_vc']:>8.3f} {results_vc['pli_vc']:>8.3f} {results_vc['wpli_vc']:>8.3f}\")\n", + "print(f\"{'True Connectivity':<25} {results_vc['plv_tc']:>8.3f} {results_vc['pli_tc']:>8.3f} {results_vc['wpli_tc']:>8.3f}\")\n", + "print(f\"{'No Connectivity':<25} {results_vc['plv_nc']:>8.3f} {results_vc['pli_nc']:>8.3f} {results_vc['wpli_nc']:>8.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 8: Three-metric comparison bar chart\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(14, 5))\n", + "\n", + "scenarios = ['Volume\\nConduction', 'True\\nConnectivity', 'No\\nConnectivity']\n", + "metrics = ['PLV', 'PLI', 'wPLI']\n", + "colors = [COLORS['signal_1'], COLORS['signal_2'], COLORS['highlight']]\n", + "\n", + "# Data\n", + "vc_data = [results_vc['plv_vc'], results_vc['pli_vc'], results_vc['wpli_vc']]\n", + "tc_data = [results_vc['plv_tc'], results_vc['pli_tc'], results_vc['wpli_tc']]\n", + "nc_data = [results_vc['plv_nc'], results_vc['pli_nc'], results_vc['wpli_nc']]\n", + "\n", + "all_data = [vc_data, tc_data, nc_data]\n", + "titles = ['Volume Conduction\\n(Should be LOW for PLI/wPLI)', \n", + " 'True Connectivity\\n(Should be HIGH for all)',\n", + " 'No Connectivity\\n(Should be LOW for all)']\n", + "expected = ['⚠️ PLV gives false positive!', '✅ All detect connection', '✅ All correctly low']\n", + "\n", + "for ax, data, title, exp in zip(axes, all_data, titles, expected):\n", + " bars = ax.bar(metrics, data, color=colors, edgecolor='white', linewidth=2)\n", + " \n", + " # Add value labels\n", + " for bar, val in zip(bars, data):\n", + " ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.03,\n", + " f'{val:.3f}', ha='center', fontsize=12, fontweight='bold')\n", + " \n", + " ax.set_ylim(0, 1.15)\n", + " ax.set_ylabel('Value', fontsize=11)\n", + " ax.set_title(f'{title}\\n{exp}', fontsize=11, fontweight='bold')\n", + " ax.axhline(0.3, color='gray', linestyle='--', alpha=0.5)\n", + "\n", + "plt.suptitle('wPLI Maintains Robustness to Volume Conduction', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n✅ Key finding: Both PLI and wPLI correctly reject volume conduction (low values)\")\n", + "print(\" while PLV gives a false positive (high value).\")\n", + "print(\" wPLI = Best of both worlds!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 7: Debiased wPLI (Optional Advanced)\n", + "\n", + "Standard wPLI has a **small positive bias** for finite samples: even for independent signals, wPLI tends to be slightly above zero. The **Debiased wPLI (dwPLI)** corrects this.\n", + "\n", + "The debiased formula removes the bias term by adjusting the squared imaginary cross-spectrum values." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_debiased_wpli(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute Debiased Weighted Phase Lag Index.\n", + " \n", + " Parameters\n", + " ----------\n", + " phase_x : NDArray[np.float64]\n", + " Instantaneous phase of signal x\n", + " phase_y : NDArray[np.float64]\n", + " Instantaneous phase of signal y\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Debiased wPLI value in range [0, 1]\n", + " \n", + " Notes\n", + " -----\n", + " The debiased wPLI corrects for the positive bias in standard wPLI\n", + " that arises from finite sample sizes. Formula:\n", + " \n", + " dwPLI = (Σ sin(Δφ))² - Σ sin²(Δφ)) / (Σ |sin(Δφ)|)² - Σ sin²(Δφ))\n", + " \"\"\"\n", + " phase_diff = phase_x - phase_y\n", + " sin_diff = np.sin(phase_diff)\n", + " \n", + " n = len(sin_diff)\n", + " \n", + " # Squared sum of signed values\n", + " sum_sin = np.sum(sin_diff)\n", + " sum_sin_sq = sum_sin ** 2\n", + " \n", + " # Sum of squared values (bias term)\n", + " sum_sq_sin = np.sum(sin_diff ** 2)\n", + " \n", + " # Squared sum of absolute values\n", + " sum_abs = np.sum(np.abs(sin_diff))\n", + " sum_abs_sq = sum_abs ** 2\n", + " \n", + " # Debiased formula\n", + " numerator = sum_sin_sq - sum_sq_sin\n", + " denominator = sum_abs_sq - sum_sq_sin\n", + " \n", + " if denominator <= 0:\n", + " return 0.0\n", + " \n", + " dwpli = numerator / denominator\n", + " \n", + " return float(np.clip(dwpli, 0.0, 1.0))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 9: wPLI vs dwPLI comparison for independent signals\n", + "\n", + "np.random.seed(42)\n", + "n_iterations = 100\n", + "n_samples = 1000\n", + "fs = 500.0\n", + "\n", + "wpli_independent = []\n", + "dwpli_independent = []\n", + "\n", + "for _ in range(n_iterations):\n", + " # Generate independent random phases\n", + " phase_x = np.random.uniform(-np.pi, np.pi, n_samples)\n", + " phase_y = np.random.uniform(-np.pi, np.pi, n_samples)\n", + " \n", + " wpli_independent.append(compute_wpli_from_phases(phase_x, phase_y))\n", + " dwpli_independent.append(compute_debiased_wpli(phase_x, phase_y))\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(12, 4))\n", + "\n", + "# Histograms\n", + "ax1 = axes[0]\n", + "ax1.hist(wpli_independent, bins=20, color=COLORS['signal_1'], alpha=0.7, \n", + " edgecolor='white', label=f'wPLI (mean={np.mean(wpli_independent):.4f})')\n", + "ax1.hist(dwpli_independent, bins=20, color=COLORS['highlight'], alpha=0.7,\n", + " edgecolor='white', label=f'dwPLI (mean={np.mean(dwpli_independent):.4f})')\n", + "ax1.axvline(0, color='black', linestyle='--', linewidth=2, label='Expected (0)')\n", + "ax1.set_xlabel('Value', fontsize=11)\n", + "ax1.set_ylabel('Count', fontsize=11)\n", + "ax1.set_title('Distribution for Independent Signals', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right')\n", + "\n", + "# Box plot comparison\n", + "ax2 = axes[1]\n", + "bp = ax2.boxplot([wpli_independent, dwpli_independent], \n", + " labels=['wPLI', 'dwPLI'],\n", + " patch_artist=True)\n", + "bp['boxes'][0].set_facecolor(COLORS['signal_1'])\n", + "bp['boxes'][1].set_facecolor(COLORS['highlight'])\n", + "ax2.axhline(0, color='black', linestyle='--', linewidth=2)\n", + "ax2.set_ylabel('Value', fontsize=11)\n", + "ax2.set_title('Bias Comparison: dwPLI closer to zero', fontsize=12, fontweight='bold')\n", + "\n", + "plt.suptitle('Debiased wPLI Reduces Positive Bias for Independent Signals', \n", + " fontsize=13, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\nFor independent signals (expected = 0):\")\n", + "print(f\" wPLI mean: {np.mean(wpli_independent):.4f} ± {np.std(wpli_independent):.4f}\")\n", + "print(f\" dwPLI mean: {np.mean(dwpli_independent):.4f} ± {np.std(dwpli_independent):.4f}\")\n", + "print(f\"\\n💡 dwPLI is closer to zero, showing reduced bias.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 8: wPLI Matrix\n", + "\n", + "For multi-channel analysis, we compute wPLI for all channel pairs, creating a connectivity matrix." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_wpli_matrix(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute wPLI matrix for all channel pairs.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " EEG data with shape (n_channels, n_samples)\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " wPLI matrix with shape (n_channels, n_channels)\n", + " \"\"\"\n", + " n_channels = data.shape[0]\n", + " \n", + " # Filter all channels\n", + " data_filt = bandpass_filter(data, fs, band)\n", + " \n", + " # Extract phases for all channels\n", + " phases = extract_phase(data_filt)\n", + " \n", + " # Initialize matrix\n", + " wpli_matrix = np.zeros((n_channels, n_channels))\n", + " \n", + " # Compute pairwise wPLI\n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " wpli_val = compute_wpli_from_phases(phases[i], phases[j])\n", + " wpli_matrix[i, j] = wpli_val\n", + " wpli_matrix[j, i] = wpli_val # Symmetric\n", + " \n", + " return wpli_matrix\n", + "\n", + "\n", + "def compute_wpli_matrix_bands(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " bands: dict[str, tuple[float, float]] | None = None\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute wPLI matrices for multiple frequency bands.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " EEG data with shape (n_channels, n_samples)\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " bands : dict[str, tuple[float, float]], optional\n", + " Dictionary of frequency bands. Default: standard EEG bands\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " Dictionary mapping band names to wPLI matrices\n", + " \"\"\"\n", + " if bands is None:\n", + " bands = {\n", + " 'theta': (4, 8),\n", + " 'alpha': (8, 13),\n", + " 'beta': (13, 30),\n", + " 'gamma': (30, 45)\n", + " }\n", + " \n", + " return {name: compute_wpli_matrix(data, fs, band) for name, band in bands.items()}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Generate multi-channel data with known structure\n", + "np.random.seed(42)\n", + "n_channels = 8\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Create data with cluster structure\n", + "data = np.zeros((n_channels, n_samples))\n", + "\n", + "# Cluster 1: channels 0-2 (phase locked in alpha)\n", + "source1 = np.sin(2 * np.pi * 10 * t)\n", + "for i in range(3):\n", + " lag = i * 0.05\n", + " data[i] = np.sin(2 * np.pi * 10 * t + lag) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Cluster 2: channels 3-5 (phase locked in alpha, different phase)\n", + "for i in range(3, 6):\n", + " lag = np.pi/2 + (i-3) * 0.05\n", + " data[i] = np.sin(2 * np.pi * 10 * t + lag) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Independent: channels 6-7\n", + "for i in range(6, 8):\n", + " data[i] = np.sin(2 * np.pi * 10 * t + np.random.uniform(0, 2*np.pi)) + 0.5 * np.random.randn(n_samples)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Compute all three matrices for comparison\n", + "\n", + "def compute_plv_matrix(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"Compute PLV matrix.\"\"\"\n", + " n_channels = data.shape[0]\n", + " data_filt = bandpass_filter(data, fs, band)\n", + " phases = extract_phase(data_filt)\n", + " \n", + " plv_matrix = np.zeros((n_channels, n_channels))\n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " plv_val = compute_plv_from_phases(phases[i], phases[j])\n", + " plv_matrix[i, j] = plv_val\n", + " plv_matrix[j, i] = plv_val\n", + " return plv_matrix\n", + "\n", + "\n", + "def compute_pli_matrix(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"Compute PLI matrix.\"\"\"\n", + " n_channels = data.shape[0]\n", + " data_filt = bandpass_filter(data, fs, band)\n", + " phases = extract_phase(data_filt)\n", + " \n", + " pli_matrix = np.zeros((n_channels, n_channels))\n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " pli_val = compute_pli_from_phases(phases[i], phases[j])\n", + " pli_matrix[i, j] = pli_val\n", + " pli_matrix[j, i] = pli_val\n", + " return pli_matrix\n", + "\n", + "\n", + "# Compute matrices\n", + "band_alpha = (8, 12)\n", + "plv_mat = compute_plv_matrix(data, fs, band_alpha)\n", + "pli_mat = compute_pli_matrix(data, fs, band_alpha)\n", + "wpli_mat = compute_wpli_matrix(data, fs, band_alpha)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 10: Three matrices side by side\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4.5))\n", + "\n", + "matrices = [plv_mat, pli_mat, wpli_mat]\n", + "titles = ['PLV Matrix', 'PLI Matrix', 'wPLI Matrix']\n", + "\n", + "for ax, mat, title in zip(axes, matrices, titles):\n", + " im = ax.imshow(mat, cmap='viridis', vmin=0, vmax=1, aspect='equal')\n", + " ax.set_title(title, fontsize=13, fontweight='bold')\n", + " ax.set_xlabel('Channel', fontsize=11)\n", + " ax.set_ylabel('Channel', fontsize=11)\n", + " ax.set_xticks(range(n_channels))\n", + " ax.set_yticks(range(n_channels))\n", + " \n", + " # Add cluster annotations\n", + " ax.axhline(2.5, color='white', linestyle='--', linewidth=1, alpha=0.8)\n", + " ax.axvline(2.5, color='white', linestyle='--', linewidth=1, alpha=0.8)\n", + " ax.axhline(5.5, color='white', linestyle='--', linewidth=1, alpha=0.8)\n", + " ax.axvline(5.5, color='white', linestyle='--', linewidth=1, alpha=0.8)\n", + " \n", + " plt.colorbar(im, ax=ax, shrink=0.8)\n", + "\n", + "# Add cluster labels\n", + "for ax in axes:\n", + " ax.text(-1.5, 1, 'C1', fontsize=10, fontweight='bold', color=COLORS['signal_1'])\n", + " ax.text(-1.5, 4, 'C2', fontsize=10, fontweight='bold', color=COLORS['signal_2'])\n", + " ax.text(-1.5, 6.5, 'Ind', fontsize=10, fontweight='bold', color='gray')\n", + "\n", + "plt.suptitle('PLV vs PLI vs wPLI Matrices (Alpha band: 8-12 Hz)\\n'\n", + " 'C1: Cluster 1 (ch 0-2), C2: Cluster 2 (ch 3-5), Ind: Independent (ch 6-7)', \n", + " fontsize=12, fontweight='bold', y=1.05)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 9: wPLI for Hyperscanning\n", + "\n", + "wPLI works excellently for hyperscanning analysis:\n", + "\n", + "- **Within-brain**: Provides volume conduction robustness with better stability than PLI\n", + "- **Between-brain**: Comparable to PLV but more conservative\n", + "\n", + "**Recommendation**: wPLI is often the \"safest\" phase-based metric for hyperscanning because it's robust to both volume conduction AND noise." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_wpli_hyperscanning(\n", + " data_p1: NDArray[np.float64],\n", + " data_p2: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute wPLI matrices for hyperscanning analysis.\n", + " \n", + " Parameters\n", + " ----------\n", + " data_p1 : NDArray[np.float64]\n", + " EEG data from participant 1, shape (n_channels, n_samples)\n", + " data_p2 : NDArray[np.float64]\n", + " EEG data from participant 2, shape (n_channels, n_samples)\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " Dictionary containing:\n", + " - within_p1: wPLI matrix for participant 1\n", + " - within_p2: wPLI matrix for participant 2\n", + " - between: wPLI matrix between participants\n", + " - full: Full combined matrix\n", + " \"\"\"\n", + " n_ch1 = data_p1.shape[0]\n", + " n_ch2 = data_p2.shape[0]\n", + " \n", + " # Filter all data\n", + " data_p1_filt = bandpass_filter(data_p1, fs, band)\n", + " data_p2_filt = bandpass_filter(data_p2, fs, band)\n", + " \n", + " # Extract phases\n", + " phases_p1 = extract_phase(data_p1_filt)\n", + " phases_p2 = extract_phase(data_p2_filt)\n", + " \n", + " # Within-participant 1\n", + " within_p1 = np.zeros((n_ch1, n_ch1))\n", + " for i in range(n_ch1):\n", + " for j in range(i + 1, n_ch1):\n", + " val = compute_wpli_from_phases(phases_p1[i], phases_p1[j])\n", + " within_p1[i, j] = val\n", + " within_p1[j, i] = val\n", + " \n", + " # Within-participant 2\n", + " within_p2 = np.zeros((n_ch2, n_ch2))\n", + " for i in range(n_ch2):\n", + " for j in range(i + 1, n_ch2):\n", + " val = compute_wpli_from_phases(phases_p2[i], phases_p2[j])\n", + " within_p2[i, j] = val\n", + " within_p2[j, i] = val\n", + " \n", + " # Between participants\n", + " between = np.zeros((n_ch1, n_ch2))\n", + " for i in range(n_ch1):\n", + " for j in range(n_ch2):\n", + " between[i, j] = compute_wpli_from_phases(phases_p1[i], phases_p2[j])\n", + " \n", + " # Full matrix\n", + " n_total = n_ch1 + n_ch2\n", + " full = np.zeros((n_total, n_total))\n", + " full[:n_ch1, :n_ch1] = within_p1\n", + " full[n_ch1:, n_ch1:] = within_p2\n", + " full[:n_ch1, n_ch1:] = between\n", + " full[n_ch1:, :n_ch1] = between.T\n", + " \n", + " return {\n", + " 'within_p1': within_p1,\n", + " 'within_p2': within_p2,\n", + " 'between': between,\n", + " 'full': full\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Generate hyperscanning data\n", + "np.random.seed(42)\n", + "n_channels_per = 4\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Participant 1 data\n", + "data_p1 = np.zeros((n_channels_per, n_samples))\n", + "base_p1 = np.sin(2 * np.pi * 10 * t)\n", + "for i in range(n_channels_per):\n", + " data_p1[i] = base_p1 + 0.3 * np.random.randn(n_samples) + i * 0.05 * base_p1\n", + "\n", + "# Participant 2 data (some inter-brain coupling)\n", + "data_p2 = np.zeros((n_channels_per, n_samples))\n", + "coupling_strength = 0.4\n", + "for i in range(n_channels_per):\n", + " independent = np.sin(2 * np.pi * 10 * t + np.random.uniform(0, np.pi))\n", + " coupled = coupling_strength * base_p1 + (1 - coupling_strength) * independent\n", + " data_p2[i] = coupled + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Compute hyperscanning wPLI\n", + "hyper_wpli = compute_wpli_hyperscanning(data_p1, data_p2, fs, (8, 12))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 11: Hyperscanning wPLI\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Full matrix\n", + "ax1 = axes[0]\n", + "im1 = ax1.imshow(hyper_wpli['full'], cmap='viridis', vmin=0, vmax=1, aspect='equal')\n", + "\n", + "# Add block separators\n", + "ax1.axhline(n_channels_per - 0.5, color='white', linewidth=2)\n", + "ax1.axvline(n_channels_per - 0.5, color='white', linewidth=2)\n", + "\n", + "# Labels\n", + "n_total = 2 * n_channels_per\n", + "ax1.set_xticks(range(n_total))\n", + "ax1.set_yticks(range(n_total))\n", + "labels = [f'P1-{i}' for i in range(n_channels_per)] + [f'P2-{i}' for i in range(n_channels_per)]\n", + "ax1.set_xticklabels(labels, rotation=45, ha='right')\n", + "ax1.set_yticklabels(labels)\n", + "\n", + "# Block annotations\n", + "ax1.text(1.5, 1.5, 'Within\\nP1', ha='center', va='center', fontsize=10, \n", + " color='white', fontweight='bold')\n", + "ax1.text(5.5, 5.5, 'Within\\nP2', ha='center', va='center', fontsize=10,\n", + " color='white', fontweight='bold')\n", + "ax1.text(5.5, 1.5, 'Between', ha='center', va='center', fontsize=10,\n", + " color='white', fontweight='bold')\n", + "\n", + "ax1.set_title('Full Hyperscanning wPLI Matrix', fontsize=13, fontweight='bold')\n", + "plt.colorbar(im1, ax=ax1, shrink=0.8, label='wPLI')\n", + "\n", + "# Between-brain matrix\n", + "ax2 = axes[1]\n", + "im2 = ax2.imshow(hyper_wpli['between'], cmap='viridis', vmin=0, vmax=1, aspect='equal')\n", + "ax2.set_xlabel('Participant 2 channels', fontsize=11)\n", + "ax2.set_ylabel('Participant 1 channels', fontsize=11)\n", + "ax2.set_title('Between-Brain wPLI (Inter-Brain Connectivity)', fontsize=13, fontweight='bold')\n", + "ax2.set_xticks(range(n_channels_per))\n", + "ax2.set_yticks(range(n_channels_per))\n", + "plt.colorbar(im2, ax=ax2, shrink=0.8, label='wPLI')\n", + "\n", + "plt.suptitle('Inter-Brain wPLI in Hyperscanning', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"\\nMean connectivity values:\")\n", + "print(f\" Within P1: {np.mean(hyper_wpli['within_p1'][np.triu_indices(n_channels_per, k=1)]):.3f}\")\n", + "print(f\" Within P2: {np.mean(hyper_wpli['within_p2'][np.triu_indices(n_channels_per, k=1)]):.3f}\")\n", + "print(f\" Between: {np.mean(hyper_wpli['between']):.3f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 10: Choosing Among Phase Metrics\n", + "\n", + "Here's a practical guide for choosing between PLV, PLI, and wPLI:\n", + "\n", + "| Metric | Volume Conduction | Noise Robustness | Sensitivity |\n", + "|--------|-------------------|------------------|-------------|\n", + "| PLV | ❌ High false positives | Good | High |\n", + "| PLI | ✅ Robust | Poor (sign flips) | Moderate |\n", + "| wPLI | ✅ Robust | Good | Moderate |\n", + "\n", + "**Recommendations:**\n", + "- **PLV**: Use for between-brain analysis (no volume conduction issue) or at source level\n", + "- **PLI**: When simplicity matters, or for comparison with older studies\n", + "- **wPLI**: Default choice for sensor-level EEG (best balance of robustness)\n", + "\n", + "**Always report** which metric you used and why!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 12: Decision flowchart (text-based)\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 8))\n", + "ax.set_xlim(0, 10)\n", + "ax.set_ylim(0, 10)\n", + "ax.axis('off')\n", + "\n", + "# Flowchart boxes\n", + "def draw_box(ax, x, y, w, h, text, color, fontsize=10):\n", + " rect = plt.Rectangle((x-w/2, y-h/2), w, h, fill=True, \n", + " facecolor=color, edgecolor='black', linewidth=2, alpha=0.8)\n", + " ax.add_patch(rect)\n", + " ax.text(x, y, text, ha='center', va='center', fontsize=fontsize, fontweight='bold', wrap=True)\n", + "\n", + "def draw_diamond(ax, x, y, size, text, color):\n", + " diamond = plt.Polygon([(x, y+size), (x+size, y), (x, y-size), (x-size, y)],\n", + " facecolor=color, edgecolor='black', linewidth=2, alpha=0.8)\n", + " ax.add_patch(diamond)\n", + " ax.text(x, y, text, ha='center', va='center', fontsize=9, fontweight='bold')\n", + "\n", + "def draw_arrow(ax, x1, y1, x2, y2, label=''):\n", + " ax.annotate('', xy=(x2, y2), xytext=(x1, y1),\n", + " arrowprops=dict(arrowstyle='->', color='black', lw=2))\n", + " if label:\n", + " mid_x, mid_y = (x1+x2)/2, (y1+y2)/2\n", + " ax.text(mid_x + 0.3, mid_y, label, fontsize=9, fontweight='bold')\n", + "\n", + "# Start\n", + "draw_box(ax, 5, 9, 3, 0.8, 'Phase Connectivity\\nMetric Selection', '#E8E8E8', 11)\n", + "\n", + "# Question 1\n", + "draw_diamond(ax, 5, 7.2, 0.8, 'Source or\\nSensor?', '#FFE4B5')\n", + "draw_arrow(ax, 5, 8.6, 5, 8)\n", + "\n", + "# Source path\n", + "draw_box(ax, 2, 5.5, 2, 0.7, 'PLV OK', COLORS['signal_1'])\n", + "draw_arrow(ax, 4.2, 7.2, 3, 5.9, 'Source')\n", + "\n", + "# Sensor path - Question 2\n", + "draw_diamond(ax, 7, 5.5, 0.8, 'Volume\\nConduction\\nConcern?', '#FFE4B5')\n", + "draw_arrow(ax, 5.8, 7.2, 7, 6.3, 'Sensor')\n", + "\n", + "# No VC concern\n", + "draw_box(ax, 9, 4, 1.5, 0.7, 'PLV', COLORS['signal_1'])\n", + "draw_arrow(ax, 7.8, 5.5, 8.25, 4.35, 'No')\n", + "\n", + "# Yes VC concern - Question 3\n", + "draw_diamond(ax, 5, 3.5, 0.8, 'Noisy data?\\nSmall effects?', '#FFE4B5')\n", + "draw_arrow(ax, 6.2, 5.5, 5.8, 4.3, 'Yes')\n", + "\n", + "# Final recommendations\n", + "draw_box(ax, 3, 1.8, 1.5, 0.7, 'PLI', COLORS['signal_2'])\n", + "draw_arrow(ax, 4.2, 3.5, 3.75, 2.15, 'No')\n", + "\n", + "draw_box(ax, 7, 1.8, 1.5, 0.7, 'wPLI ⭐', COLORS['highlight'])\n", + "draw_arrow(ax, 5.8, 3.5, 6.25, 2.15, 'Yes')\n", + "\n", + "# Legend\n", + "ax.text(0.5, 0.5, '⭐ = Recommended default', fontsize=10, style='italic')\n", + "\n", + "ax.set_title('Choosing a Phase-Based Connectivity Metric', fontsize=14, fontweight='bold', pad=20)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 13: Summary bar chart - metrics across scenarios\n", + "\n", + "# Run comprehensive comparison\n", + "np.random.seed(42)\n", + "n_samples = 10000\n", + "fs = 500.0\n", + "freq = 10.0\n", + "t = np.arange(n_samples) / fs\n", + "band = (8, 12)\n", + "\n", + "scenarios = {\n", + " 'Volume\\nConduction': {'type': 'vc'},\n", + " 'True Connection\\n(Clean)': {'type': 'clean'},\n", + " 'True Connection\\n(Noisy)': {'type': 'noisy'},\n", + " 'Small Phase Lag\\n(Noisy)': {'type': 'small_lag'}\n", + "}\n", + "\n", + "results_all = {'PLV': [], 'PLI': [], 'wPLI': []}\n", + "\n", + "for name, params in scenarios.items():\n", + " if params['type'] == 'vc':\n", + " source = np.sin(2 * np.pi * freq * t) + 0.3 * np.random.randn(n_samples)\n", + " x = source + 0.1 * np.random.randn(n_samples)\n", + " y = 0.8 * source + 0.1 * np.random.randn(n_samples)\n", + " elif params['type'] == 'clean':\n", + " x = np.sin(2 * np.pi * freq * t) + 0.2 * np.random.randn(n_samples)\n", + " y = np.sin(2 * np.pi * freq * t + np.pi/4) + 0.2 * np.random.randn(n_samples)\n", + " elif params['type'] == 'noisy':\n", + " x = np.sin(2 * np.pi * freq * t) + 0.8 * np.random.randn(n_samples)\n", + " y = np.sin(2 * np.pi * freq * t + np.pi/4) + 0.8 * np.random.randn(n_samples)\n", + " else: # small_lag\n", + " x = np.sin(2 * np.pi * freq * t) + 0.5 * np.random.randn(n_samples)\n", + " y = np.sin(2 * np.pi * freq * t + 0.15) + 0.5 * np.random.randn(n_samples)\n", + " \n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " px, py = extract_phase(x_filt), extract_phase(y_filt)\n", + " \n", + " results_all['PLV'].append(compute_plv_from_phases(px, py))\n", + " results_all['PLI'].append(compute_pli_from_phases(px, py))\n", + " results_all['wPLI'].append(compute_wpli_from_phases(px, py))\n", + "\n", + "# Plot\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "\n", + "x_pos = np.arange(len(scenarios))\n", + "width = 0.25\n", + "\n", + "bars1 = ax.bar(x_pos - width, results_all['PLV'], width, label='PLV', \n", + " color=COLORS['signal_1'], edgecolor='white', linewidth=1)\n", + "bars2 = ax.bar(x_pos, results_all['PLI'], width, label='PLI',\n", + " color=COLORS['signal_2'], edgecolor='white', linewidth=1)\n", + "bars3 = ax.bar(x_pos + width, results_all['wPLI'], width, label='wPLI',\n", + " color=COLORS['highlight'], edgecolor='white', linewidth=1)\n", + "\n", + "# Value labels\n", + "for bars in [bars1, bars2, bars3]:\n", + " for bar in bars:\n", + " ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.02,\n", + " f'{bar.get_height():.2f}', ha='center', fontsize=9, fontweight='bold')\n", + "\n", + "ax.set_ylabel('Connectivity Value', fontsize=12)\n", + "ax.set_xticks(x_pos)\n", + "ax.set_xticklabels(scenarios.keys(), fontsize=10)\n", + "ax.set_ylim(0, 1.1)\n", + "ax.legend(loc='upper right', fontsize=11)\n", + "\n", + "# Expected behavior annotations\n", + "ax.axhline(0.3, color='gray', linestyle='--', alpha=0.3)\n", + "ax.text(3.5, 0.32, 'Threshold', fontsize=9, color='gray')\n", + "\n", + "ax.set_title('Phase Metrics Across Scenarios\\n'\n", + " '(PLV fails at VC; PLI fails at small lag + noise; wPLI performs well overall)',\n", + " fontsize=12, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n📊 Summary:\")\n", + "print(\" - Volume Conduction: PLV gives false positive, PLI & wPLI correctly low\")\n", + "print(\" - Clean connection: All three detect it well\")\n", + "print(\" - Noisy connection: wPLI more robust than PLI\")\n", + "print(\" - Small lag + noise: wPLI maintains detection, PLI drops significantly\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 11: Comparison with HyPyP\n", + "\n", + "HyPyP implements PLV, PLI, and wPLI. Let's validate our implementation against HyPyP (if available)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compare_with_hypyp_wpli(\n", + " data_p1: NDArray[np.float64],\n", + " data_p2: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> dict[str, Any]:\n", + " \"\"\"\n", + " Compare our wPLI implementation with HyPyP.\n", + " \n", + " Parameters\n", + " ----------\n", + " data_p1 : NDArray[np.float64]\n", + " Data from participant 1\n", + " data_p2 : NDArray[np.float64]\n", + " Data from participant 2\n", + " fs : float\n", + " Sampling frequency\n", + " band : tuple[float, float]\n", + " Frequency band\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, Any]\n", + " Comparison results including correlation and max difference\n", + " \"\"\"\n", + " # Compute our wPLI\n", + " our_result = compute_wpli_hyperscanning(data_p1, data_p2, fs, band)\n", + " our_wpli = our_result['between']\n", + " \n", + " try:\n", + " # Try to import HyPyP\n", + " from hypyp import analyses\n", + " import mne\n", + " \n", + " # Create MNE info objects\n", + " n_ch1 = data_p1.shape[0]\n", + " n_ch2 = data_p2.shape[0]\n", + " \n", + " info1 = mne.create_info([f'ch{i}' for i in range(n_ch1)], fs, 'eeg')\n", + " info2 = mne.create_info([f'ch{i}' for i in range(n_ch2)], fs, 'eeg')\n", + " \n", + " # This is a placeholder - actual HyPyP comparison would require\n", + " # proper epoch structure\n", + " hypyp_available = True\n", + " hypyp_wpli = our_wpli # Placeholder\n", + " \n", + " except ImportError:\n", + " hypyp_available = False\n", + " hypyp_wpli = None\n", + " \n", + " if hypyp_available and hypyp_wpli is not None:\n", + " correlation = np.corrcoef(our_wpli.flatten(), hypyp_wpli.flatten())[0, 1]\n", + " max_diff = np.max(np.abs(our_wpli - hypyp_wpli))\n", + " else:\n", + " correlation = None\n", + " max_diff = None\n", + " \n", + " return {\n", + " 'our_wpli': our_wpli,\n", + " 'hypyp_wpli': hypyp_wpli,\n", + " 'hypyp_available': hypyp_available,\n", + " 'correlation': correlation,\n", + " 'max_difference': max_diff\n", + " }\n", + "\n", + "\n", + "# Run comparison\n", + "comparison = compare_with_hypyp_wpli(data_p1, data_p2, fs, (8, 12))\n", + "\n", + "if comparison['hypyp_available']:\n", + " print(f\"HyPyP comparison:\")\n", + " print(f\" Correlation: {comparison['correlation']:.4f}\")\n", + " print(f\" Max difference: {comparison['max_difference']:.6f}\")\n", + "else:\n", + " print(\"HyPyP not available for comparison.\")\n", + " print(\"Our implementation follows the same mathematical formula.\")\n", + " print(\"To validate, install HyPyP: pip install hypyp\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 12: Hands-On Exercises\n", + "\n", + "Practice implementing and interpreting wPLI!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: wPLI Basics\n", + "# Generate phase-locked signals with moderate lag (π/4)\n", + "# Compute PLV, PLI, wPLI - all should be reasonably high\n", + "# Then add noise and observe stability differences\n", + "\n", + "np.random.seed(42)\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "t = np.arange(n_samples) / fs\n", + "freq = 10.0\n", + "band = (8, 12)\n", + "phase_lag = np.pi / 4 # Moderate lag\n", + "\n", + "# YOUR CODE HERE\n", + "# 1. Create signals with phase_lag\n", + "# 2. Compute PLV, PLI, wPLI\n", + "# 3. Add noise (std=0.5) and recompute\n", + "# 4. Compare the stability\n", + "\n", + "# x = ...\n", + "# y = ...\n", + "\n", + "print(\"Exercise 1: Compare PLV, PLI, wPLI stability with moderate phase lag\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Small Phase Lag Challenge\n", + "# This is where wPLI shines!\n", + "# Generate signals with SMALL phase lag (π/20 ≈ 9°)\n", + "# Observe PLI instability vs wPLI stability\n", + "\n", + "np.random.seed(42)\n", + "small_lag = np.pi / 20 # Very small lag\n", + "\n", + "# YOUR CODE HERE\n", + "# 1. Create signals with small_lag\n", + "# 2. Add moderate noise (std=0.4)\n", + "# 3. Compute PLI and wPLI\n", + "# 4. Explain why wPLI performs better\n", + "\n", + "print(f\"Exercise 2: Small phase lag = {small_lag:.3f} rad ({np.degrees(small_lag):.1f}°)\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 3: Volume Conduction Check\n", + "# Verify that wPLI maintains robustness to volume conduction\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# 1. Create volume conduction scenario (same source, zero lag)\n", + "# 2. Compute PLV, PLI, wPLI\n", + "# 3. Verify: PLV high, PLI low, wPLI low\n", + "\n", + "print(\"Exercise 3: Verify wPLI robustness to volume conduction\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 4: Noise Robustness Experiment\n", + "# Systematically vary noise level and compare PLI vs wPLI\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# 1. Use true_phase_lag = 0.3 rad\n", + "# 2. Vary noise from 0 to 1.5 in steps of 0.1\n", + "# 3. Plot PLI and wPLI vs noise level\n", + "# 4. Calculate at what noise level PLI drops below 0.3\n", + "# vs when wPLI drops below 0.3\n", + "\n", + "print(\"Exercise 4: Quantify noise robustness difference\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 5: Three-Metric Comparison Matrix\n", + "# Create 8-channel data with varied connectivity types\n", + "# Compare PLV, PLI, wPLI matrices\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# 1. Create 8-channel data:\n", + "# - Channels 0-1: strong coupling, clean\n", + "# - Channels 2-3: strong coupling, noisy\n", + "# - Channels 4-5: volume conduction\n", + "# - Channels 6-7: independent\n", + "# 2. Compute all three matrices\n", + "# 3. Identify which pairs show largest differences across metrics\n", + "# 4. Interpret: why do they differ?\n", + "\n", + "print(\"Exercise 5: Multi-metric matrix comparison\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 6: Hyperscanning Application\n", + "# Compare PLV and wPLI for hyperscanning analysis\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# 1. Create two-participant data (4 channels each)\n", + "# 2. Add some inter-brain coupling\n", + "# 3. Compute both PLV and wPLI hyperscanning matrices\n", + "# 4. Compare within-brain vs between-brain differences\n", + "# 5. Which metric shows larger within-brain values? Why?\n", + "\n", + "print(\"Exercise 6: Hyperscanning PLV vs wPLI comparison\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **PLI's problem**: The sign function is sensitive to noise near zero phase differences\n", + "\n", + "2. **wPLI's solution**: Weight contributions by |sin(Δφ)|\n", + " - Phases near zero get less weight → noise robustness\n", + " - Formula: wPLI = |Σ sin(Δφ)| / Σ |sin(Δφ)|\n", + "\n", + "3. **Properties**:\n", + " - Range: 0 to 1\n", + " - Maintains volume conduction robustness (like PLI)\n", + " - Improved noise robustness (better than PLI)\n", + "\n", + "4. **Debiased wPLI**: Corrects small positive bias in finite samples\n", + "\n", + "5. **For hyperscanning**: wPLI is often the best default phase metric\n", + "\n", + "6. **Decision guide**:\n", + " - **PLV**: Simple, but vulnerable to volume conduction\n", + " - **PLI**: VC robust, but noise sensitive\n", + " - **wPLI**: VC robust AND noise robust — best of both!\n", + "\n", + "7. **HyPyP** implements all three metrics\n", + "\n", + "---\n", + "\n", + "## Discussion Questions\n", + "\n", + "1. You're analyzing EEG from a clinical population with noisier data than typical. Would this affect your metric choice? How?\n", + "\n", + "2. wPLI weights phases near 0 and π less. But what if the true connectivity happens to have exactly π/2 phase lag? Is wPLI \"unfairly\" advantaged in detecting such connections?\n", + "\n", + "3. Some researchers argue wPLI is now the \"gold standard\" for EEG phase connectivity. Do you agree? What might still justify using PLV in some contexts?\n", + "\n", + "4. The progression PLV → PLI → wPLI shows increasing robustness but decreasing simplicity. When does simplicity matter? When should you prefer robustness?\n", + "\n", + "5. You need to compare your hyperscanning results with a 2010 paper that used PLV. Can you use wPLI and still make valid comparisons? How would you handle this?\n", + "\n", + "---\n", + "\n", + "## Next Steps\n", + "\n", + "Proceed to **H01: Envelope Correlation** to learn about amplitude-based connectivity metrics!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/H_amplitude_based/H01_envelope_correlation.ipynb b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/H_amplitude_based/H01_envelope_correlation.ipynb new file mode 100644 index 0000000..93350f4 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/H_amplitude_based/H01_envelope_correlation.ipynb @@ -0,0 +1,2209 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# H01: Envelope Correlation (CCorr)\n", + "\n", + "**Duration**: 55 minutes \n", + "**Prerequisites**: B03 (Amplitude Envelope), E02 (Introduction to Hyperscanning) \n", + "**Next**: H02 (Power Correlation)\n", + "\n", + "---\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "1. Distinguish amplitude coupling from phase coupling\n", + "2. Define envelope correlation as Pearson correlation of amplitude envelopes\n", + "3. Implement envelope correlation computation\n", + "4. Interpret envelope correlation values (-1 to +1)\n", + "5. Understand orthogonalization to address volume conduction\n", + "6. Apply envelope correlation to hyperscanning analysis\n", + "7. Compare amplitude-based and phase-based connectivity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Required imports\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "from scipy import stats\n", + "from typing import Any, Tuple\n", + "\n", + "# Visualization settings\n", + "plt.style.use('seaborn-v0_8-whitegrid')\n", + "\n", + "# Color palette\n", + "COLORS = {\n", + " 'signal_1': '#2E86AB',\n", + " 'signal_2': '#E94F37',\n", + " 'accent': '#A23B72',\n", + " 'highlight': '#F18F01',\n", + " 'warning': '#C73E1D',\n", + " 'subject_1': '#2E86AB',\n", + " 'subject_2': '#E94F37',\n", + "}\n", + "\n", + "# Random seed for reproducibility\n", + "np.random.seed(42)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 1: Introduction — A Different Kind of Connectivity\n", + "\n", + "So far in this workshop, we've focused on **phase-based connectivity metrics**: PLV, PLI, wPLI, and coherence. These metrics answer the question: *\"Are oscillations aligned in time?\"* They focus on **WHEN** peaks occur—whether two signals oscillate in sync.\n", + "\n", + "Now we turn to a fundamentally different approach: **amplitude-based connectivity**. These metrics ask: *\"Do oscillation strengths rise and fall together?\"* They focus on **HOW STRONG** the oscillations are at any given moment, regardless of their phase alignment.\n", + "\n", + "This distinction reflects different neural mechanisms:\n", + "\n", + "- **Phase synchrony** suggests precise timing coordination between regions, often associated with active communication and information transfer\n", + "- **Amplitude correlation** suggests co-modulation of activity levels, often associated with shared engagement, arousal, or attentional states\n", + "\n", + "Consider this intuition: Two brain regions might both become \"more alpha-y\" during relaxation. Their alpha power increases together over time. But their alpha oscillations might not be phase-locked! The peaks don't align, yet the *amount* of alpha activity rises and falls in unison.\n", + "\n", + "**Why do both matter?** Phase coupling captures moment-to-moment coordination (within milliseconds), while amplitude coupling captures slower co-modulation of \"engagement\" (over seconds). They provide complementary views of brain connectivity." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 1: Phase coupling vs amplitude coupling\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "duration = 3.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "freq = 10.0\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# === Left column: Phase-locked signals ===\n", + "# Signals with same phase but independent amplitude modulation\n", + "phase_lag = 0.1 # Small, consistent phase lag\n", + "env1_phase = 1 + 0.3 * np.sin(2 * np.pi * 0.3 * t) # Independent modulation\n", + "env2_phase = 1 + 0.3 * np.sin(2 * np.pi * 0.5 * t + 1.5) # Different modulation\n", + "\n", + "x_phase = env1_phase * np.sin(2 * np.pi * freq * t)\n", + "y_phase = env2_phase * np.sin(2 * np.pi * freq * t + phase_lag)\n", + "\n", + "ax1 = axes[0, 0]\n", + "ax1.plot(t, x_phase, color=COLORS['signal_1'], linewidth=1, label='Signal X', alpha=0.8)\n", + "ax1.plot(t, y_phase, color=COLORS['signal_2'], linewidth=1, label='Signal Y', alpha=0.8)\n", + "ax1.set_xlabel('Time (s)', fontsize=11)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Phase-Locked Signals\\n(peaks aligned, envelopes independent)', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right')\n", + "ax1.set_xlim(0, 1) # Zoom in\n", + "\n", + "# Zoom showing phase alignment\n", + "ax2 = axes[1, 0]\n", + "t_zoom = (t >= 0.3) & (t <= 0.6)\n", + "ax2.plot(t[t_zoom], x_phase[t_zoom], color=COLORS['signal_1'], linewidth=2, label='Signal X')\n", + "ax2.plot(t[t_zoom], y_phase[t_zoom], color=COLORS['signal_2'], linewidth=2, label='Signal Y')\n", + "# Mark peaks\n", + "for i in range(len(t[t_zoom]) - 1):\n", + " idx = np.where(t_zoom)[0][i]\n", + " if x_phase[idx] > x_phase[idx-1] and x_phase[idx] > x_phase[idx+1] and x_phase[idx] > 0.5:\n", + " ax2.axvline(t[idx], color=COLORS['signal_1'], alpha=0.3, linestyle='--')\n", + "ax2.set_xlabel('Time (s)', fontsize=11)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Zoomed: Peaks are aligned (phase coupling)', fontsize=11)\n", + "ax2.legend(loc='upper right')\n", + "\n", + "# === Right column: Amplitude-correlated signals ===\n", + "# Signals with correlated envelopes but random phases\n", + "shared_env = 1 + 0.5 * np.sin(2 * np.pi * 0.4 * t) # Shared slow modulation\n", + "phase_x = 2 * np.pi * freq * t\n", + "phase_y = 2 * np.pi * freq * t + np.cumsum(0.5 * np.random.randn(n_samples)) / fs # Random phase drift\n", + "\n", + "x_amp = shared_env * np.sin(phase_x)\n", + "y_amp = shared_env * np.sin(phase_y)\n", + "\n", + "ax3 = axes[0, 1]\n", + "ax3.plot(t, x_amp, color=COLORS['signal_1'], linewidth=1, label='Signal X', alpha=0.8)\n", + "ax3.plot(t, y_amp, color=COLORS['signal_2'], linewidth=1, label='Signal Y', alpha=0.8)\n", + "ax3.plot(t, shared_env, color=COLORS['highlight'], linewidth=2, linestyle='--', label='Shared envelope')\n", + "ax3.plot(t, -shared_env, color=COLORS['highlight'], linewidth=2, linestyle='--')\n", + "ax3.set_xlabel('Time (s)', fontsize=11)\n", + "ax3.set_ylabel('Amplitude', fontsize=11)\n", + "ax3.set_title('Amplitude-Correlated Signals\\n(envelopes coupled, phases independent)', fontsize=12, fontweight='bold')\n", + "ax3.legend(loc='upper right')\n", + "ax3.set_xlim(0, 3)\n", + "\n", + "# Zoom showing phase misalignment\n", + "ax4 = axes[1, 1]\n", + "ax4.plot(t[t_zoom], x_amp[t_zoom], color=COLORS['signal_1'], linewidth=2, label='Signal X')\n", + "ax4.plot(t[t_zoom], y_amp[t_zoom], color=COLORS['signal_2'], linewidth=2, label='Signal Y')\n", + "ax4.set_xlabel('Time (s)', fontsize=11)\n", + "ax4.set_ylabel('Amplitude', fontsize=11)\n", + "ax4.set_title('Zoomed: Peaks NOT aligned (no phase coupling)', fontsize=11)\n", + "ax4.legend(loc='upper right')\n", + "\n", + "plt.suptitle('Phase Coupling vs Amplitude Coupling: Different Phenomena', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Left: High PHASE coupling (peaks aligned), low amplitude coupling\")\n", + "print(\"Right: High AMPLITUDE coupling (envelopes correlated), low phase coupling\")\n", + "print(\"\\n💡 These are different dimensions of connectivity!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 2: Recall — The Amplitude Envelope\n", + "\n", + "From B03, we learned that the **amplitude envelope** represents the instantaneous oscillation strength. It's computed using the Hilbert transform:\n", + "\n", + "$$A(t) = |z(t)| = \\sqrt{x(t)^2 + \\hat{x}(t)^2}$$\n", + "\n", + "where $z(t)$ is the analytic signal and $\\hat{x}(t)$ is the Hilbert transform of $x(t)$.\n", + "\n", + "The envelope varies more slowly than the oscillation itself—it captures \"how strong\" the oscillation is at each moment, abstracting away the rapid up-down fluctuations." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Helper functions\n", + "\n", + "def bandpass_filter(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " order: int = 4\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Apply bandpass filter to signal.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Input signal\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " order : int, optional\n", + " Filter order (default: 4)\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Filtered signal\n", + " \"\"\"\n", + " nyq = fs / 2\n", + " low, high = band[0] / nyq, band[1] / nyq\n", + " b, a = signal.butter(order, [low, high], btype='band')\n", + " return signal.filtfilt(b, a, data, axis=-1)\n", + "\n", + "\n", + "def extract_envelope(\n", + " data: NDArray[np.float64]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Extract amplitude envelope using Hilbert transform.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Input signal\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Amplitude envelope\n", + " \"\"\"\n", + " analytic = signal.hilbert(data, axis=-1)\n", + " return np.abs(analytic)\n", + "\n", + "\n", + "def extract_phase(\n", + " data: NDArray[np.float64]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Extract instantaneous phase using Hilbert transform.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " Input signal\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Instantaneous phase in radians\n", + " \"\"\"\n", + " analytic = signal.hilbert(data, axis=-1)\n", + " return np.angle(analytic)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 2: Signal with envelope\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "duration = 4.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create amplitude-modulated signal\n", + "modulation = 1 + 0.6 * np.sin(2 * np.pi * 0.3 * t) # Slow modulation\n", + "carrier = np.sin(2 * np.pi * 10 * t) # 10 Hz oscillation\n", + "sig = modulation * carrier + 0.2 * np.random.randn(len(t))\n", + "\n", + "# Filter and extract envelope\n", + "sig_filt = bandpass_filter(sig, fs, (8, 12))\n", + "envelope = extract_envelope(sig_filt)\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 5))\n", + "\n", + "ax.plot(t, sig_filt, color=COLORS['signal_1'], linewidth=1, alpha=0.7, label='Filtered signal (8-12 Hz)')\n", + "ax.plot(t, envelope, color=COLORS['highlight'], linewidth=2.5, label='Amplitude envelope')\n", + "ax.plot(t, -envelope, color=COLORS['highlight'], linewidth=2.5)\n", + "\n", + "# Annotations\n", + "ax.annotate('High amplitude\\n(strong oscillation)', xy=(1.7, envelope[int(1.7*fs)]), \n", + " xytext=(2.2, 1.5), fontsize=10,\n", + " arrowprops=dict(arrowstyle='->', color='black'))\n", + "ax.annotate('Low amplitude\\n(weak oscillation)', xy=(3.3, envelope[int(3.3*fs)]), \n", + " xytext=(3.5, 1.3), fontsize=10,\n", + " arrowprops=dict(arrowstyle='->', color='black'))\n", + "\n", + "ax.set_xlabel('Time (s)', fontsize=12)\n", + "ax.set_ylabel('Amplitude', fontsize=12)\n", + "ax.set_title('Amplitude Envelope: Instantaneous Oscillation Strength', fontsize=14, fontweight='bold')\n", + "ax.legend(loc='upper right', fontsize=11)\n", + "ax.set_xlim(0, duration)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 3: Envelope Correlation Definition\n", + "\n", + "**Envelope correlation** (also called **Amplitude Envelope Correlation, AEC**) is simply the Pearson correlation between two amplitude envelopes:\n", + "\n", + "$$CCorr = \\frac{Cov(A_x, A_y)}{\\sigma_{A_x} \\cdot \\sigma_{A_y}} = Pearson(A_x, A_y)$$\n", + "\n", + "### Properties:\n", + "\n", + "- **Range**: -1 to +1 (unlike phase metrics which are 0 to 1!)\n", + "- **CCorr = +1**: Envelopes perfectly positively correlated (rise and fall together)\n", + "- **CCorr = -1**: Envelopes perfectly anti-correlated (one up when other down)\n", + "- **CCorr = 0**: No linear relationship between envelopes\n", + "\n", + "### Interpretation:\n", + "\n", + "- **Positive**: Regions \"activate\" together—when one has strong oscillations, so does the other\n", + "- **Negative**: Reciprocal relationship—one activates when the other deactivates (less common)\n", + "- **Zero**: Independent amplitude fluctuations" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 3: Three CCorr scenarios\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "duration = 5.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4))\n", + "\n", + "# === Scenario 1: High positive correlation ===\n", + "shared_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "env1_pos = shared_mod + 0.1 * np.random.randn(n_samples)\n", + "env2_pos = shared_mod + 0.1 * np.random.randn(n_samples)\n", + "ccorr_pos = np.corrcoef(env1_pos, env2_pos)[0, 1]\n", + "\n", + "ax1 = axes[0]\n", + "ax1.plot(t, env1_pos, color=COLORS['signal_1'], linewidth=2, label='Envelope X')\n", + "ax1.plot(t, env2_pos, color=COLORS['signal_2'], linewidth=2, label='Envelope Y')\n", + "ax1.set_xlabel('Time (s)', fontsize=11)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title(f'Positive Correlation\\nCCorr = {ccorr_pos:.2f}', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right')\n", + "\n", + "# === Scenario 2: No correlation ===\n", + "env1_zero = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "env2_zero = 1 + 0.5 * np.sin(2 * np.pi * 0.5 * t + 2.0) # Different frequency and phase\n", + "ccorr_zero = np.corrcoef(env1_zero, env2_zero)[0, 1]\n", + "\n", + "ax2 = axes[1]\n", + "ax2.plot(t, env1_zero, color=COLORS['signal_1'], linewidth=2, label='Envelope X')\n", + "ax2.plot(t, env2_zero, color=COLORS['signal_2'], linewidth=2, label='Envelope Y')\n", + "ax2.set_xlabel('Time (s)', fontsize=11)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title(f'No Correlation\\nCCorr = {ccorr_zero:.2f}', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right')\n", + "\n", + "# === Scenario 3: Negative correlation ===\n", + "env1_neg = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "env2_neg = 1 - 0.5 * np.sin(2 * np.pi * 0.3 * t) + 0.1 * np.random.randn(n_samples) # Inverted\n", + "ccorr_neg = np.corrcoef(env1_neg, env2_neg)[0, 1]\n", + "\n", + "ax3 = axes[2]\n", + "ax3.plot(t, env1_neg, color=COLORS['signal_1'], linewidth=2, label='Envelope X')\n", + "ax3.plot(t, env2_neg, color=COLORS['signal_2'], linewidth=2, label='Envelope Y')\n", + "ax3.set_xlabel('Time (s)', fontsize=11)\n", + "ax3.set_ylabel('Amplitude', fontsize=11)\n", + "ax3.set_title(f'Negative Correlation\\nCCorr = {ccorr_neg:.2f}', fontsize=12, fontweight='bold')\n", + "ax3.legend(loc='upper right')\n", + "\n", + "plt.suptitle('Envelope Correlation Captures Amplitude Co-Modulation', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 4: Implementing Envelope Correlation\n", + "\n", + "The computation pipeline is straightforward:\n", + "\n", + "1. **Band-pass filter** both signals (frequency of interest)\n", + "2. **Extract amplitude envelopes** (Hilbert transform)\n", + "3. (Optional) **Low-pass filter envelopes** to focus on slow fluctuations\n", + "4. **Compute Pearson correlation** between envelopes\n", + "\n", + "**Key considerations**:\n", + "- Must filter first! (Envelope of broadband signal isn't meaningful for connectivity)\n", + "- Optional envelope smoothing removes fast fluctuations\n", + "- Use `scipy.stats.pearsonr` for correlation" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def smooth_envelope(\n", + " envelope: NDArray[np.float64],\n", + " fs: float,\n", + " cutoff: float = 1.0\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Low-pass filter envelope for slow fluctuations only.\n", + " \n", + " Parameters\n", + " ----------\n", + " envelope : NDArray[np.float64]\n", + " Amplitude envelope\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " cutoff : float, optional\n", + " Low-pass cutoff frequency in Hz (default: 1.0)\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Smoothed envelope\n", + " \"\"\"\n", + " nyq = fs / 2\n", + " normalized_cutoff = cutoff / nyq\n", + " \n", + " # Ensure cutoff is valid\n", + " if normalized_cutoff >= 1:\n", + " return envelope\n", + " \n", + " b, a = signal.butter(4, normalized_cutoff, btype='low')\n", + " return signal.filtfilt(b, a, envelope, axis=-1)\n", + "\n", + "\n", + "def compute_envelope_correlation_from_envelopes(\n", + " env_x: NDArray[np.float64],\n", + " env_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"\n", + " Compute envelope correlation from pre-computed envelopes.\n", + " \n", + " Parameters\n", + " ----------\n", + " env_x : NDArray[np.float64]\n", + " Amplitude envelope of signal x\n", + " env_y : NDArray[np.float64]\n", + " Amplitude envelope of signal y\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Pearson correlation coefficient in range [-1, 1]\n", + " \"\"\"\n", + " # Handle constant signals\n", + " if np.std(env_x) == 0 or np.std(env_y) == 0:\n", + " return 0.0\n", + " \n", + " corr, _ = stats.pearsonr(env_x, env_y)\n", + " return float(corr)\n", + "\n", + "\n", + "def compute_envelope_correlation(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " filter_order: int = 4,\n", + " envelope_lowpass: float | None = None\n", + ") -> float:\n", + " \"\"\"\n", + " Compute envelope correlation between two signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal\n", + " y : NDArray[np.float64]\n", + " Second signal\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " filter_order : int, optional\n", + " Butterworth filter order (default: 4)\n", + " envelope_lowpass : float, optional\n", + " Optional low-pass cutoff for envelope smoothing in Hz\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Envelope correlation in range [-1, 1]\n", + " \"\"\"\n", + " # Bandpass filter\n", + " x_filt = bandpass_filter(x, fs, band, filter_order)\n", + " y_filt = bandpass_filter(y, fs, band, filter_order)\n", + " \n", + " # Extract envelopes\n", + " env_x = extract_envelope(x_filt)\n", + " env_y = extract_envelope(y_filt)\n", + " \n", + " # Optional smoothing\n", + " if envelope_lowpass is not None:\n", + " env_x = smooth_envelope(env_x, fs, envelope_lowpass)\n", + " env_y = smooth_envelope(env_y, fs, envelope_lowpass)\n", + " \n", + " return compute_envelope_correlation_from_envelopes(env_x, env_y)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: Computation pipeline\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "duration = 4.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Create two signals with correlated amplitude modulation\n", + "shared_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "x_raw = shared_mod * np.sin(2 * np.pi * 10 * t) + 0.3 * np.random.randn(n_samples)\n", + "y_raw = shared_mod * np.sin(2 * np.pi * 10 * t + np.pi/3) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Add some broadband noise\n", + "x_raw += 0.2 * np.random.randn(n_samples)\n", + "y_raw += 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Step by step\n", + "x_filt = bandpass_filter(x_raw, fs, (8, 12))\n", + "y_filt = bandpass_filter(y_raw, fs, (8, 12))\n", + "env_x = extract_envelope(x_filt)\n", + "env_y = extract_envelope(y_filt)\n", + "ccorr = compute_envelope_correlation_from_envelopes(env_x, env_y)\n", + "\n", + "fig, axes = plt.subplots(2, 3, figsize=(15, 8))\n", + "\n", + "# Step 1: Raw signals\n", + "ax1 = axes[0, 0]\n", + "ax1.plot(t, x_raw, color=COLORS['signal_1'], linewidth=1, alpha=0.8, label='X')\n", + "ax1.plot(t, y_raw, color=COLORS['signal_2'], linewidth=1, alpha=0.8, label='Y')\n", + "ax1.set_xlabel('Time (s)', fontsize=10)\n", + "ax1.set_ylabel('Amplitude', fontsize=10)\n", + "ax1.set_title('Step 1: Raw Signals', fontsize=11, fontweight='bold')\n", + "ax1.legend(loc='upper right')\n", + "ax1.set_xlim(0, 2)\n", + "\n", + "# Step 2: Bandpass filter\n", + "ax2 = axes[0, 1]\n", + "ax2.plot(t, x_filt, color=COLORS['signal_1'], linewidth=1, alpha=0.8, label='X filtered')\n", + "ax2.plot(t, y_filt, color=COLORS['signal_2'], linewidth=1, alpha=0.8, label='Y filtered')\n", + "ax2.set_xlabel('Time (s)', fontsize=10)\n", + "ax2.set_ylabel('Amplitude', fontsize=10)\n", + "ax2.set_title('Step 2: Bandpass Filter (8-12 Hz)', fontsize=11, fontweight='bold')\n", + "ax2.legend(loc='upper right')\n", + "ax2.set_xlim(0, 2)\n", + "\n", + "# Step 3: Extract envelopes (Hilbert)\n", + "ax3 = axes[0, 2]\n", + "ax3.plot(t, x_filt, color=COLORS['signal_1'], linewidth=1, alpha=0.3)\n", + "ax3.plot(t, y_filt, color=COLORS['signal_2'], linewidth=1, alpha=0.3)\n", + "ax3.plot(t, env_x, color=COLORS['signal_1'], linewidth=2, label='Envelope X')\n", + "ax3.plot(t, env_y, color=COLORS['signal_2'], linewidth=2, label='Envelope Y')\n", + "ax3.set_xlabel('Time (s)', fontsize=10)\n", + "ax3.set_ylabel('Amplitude', fontsize=10)\n", + "ax3.set_title('Step 3: Extract Envelopes (Hilbert)', fontsize=11, fontweight='bold')\n", + "ax3.legend(loc='upper right')\n", + "ax3.set_xlim(0, 2)\n", + "\n", + "# Step 4: Envelopes only\n", + "ax4 = axes[1, 0]\n", + "ax4.plot(t, env_x, color=COLORS['signal_1'], linewidth=2, label='Envelope X')\n", + "ax4.plot(t, env_y, color=COLORS['signal_2'], linewidth=2, label='Envelope Y')\n", + "ax4.set_xlabel('Time (s)', fontsize=10)\n", + "ax4.set_ylabel('Envelope', fontsize=10)\n", + "ax4.set_title('Step 4: Compare Envelopes', fontsize=11, fontweight='bold')\n", + "ax4.legend(loc='upper right')\n", + "\n", + "# Step 5: Scatter plot\n", + "ax5 = axes[1, 1]\n", + "ax5.scatter(env_x, env_y, alpha=0.3, color=COLORS['accent'], s=5)\n", + "# Fit line\n", + "z = np.polyfit(env_x, env_y, 1)\n", + "p = np.poly1d(z)\n", + "x_line = np.linspace(env_x.min(), env_x.max(), 100)\n", + "ax5.plot(x_line, p(x_line), color=COLORS['highlight'], linewidth=2, label=f'r = {ccorr:.3f}')\n", + "ax5.set_xlabel('Envelope X', fontsize=10)\n", + "ax5.set_ylabel('Envelope Y', fontsize=10)\n", + "ax5.set_title('Step 5: Pearson Correlation', fontsize=11, fontweight='bold')\n", + "ax5.legend(loc='upper left')\n", + "\n", + "# Final result\n", + "ax6 = axes[1, 2]\n", + "ax6.bar(['CCorr'], [ccorr], color=COLORS['highlight'], edgecolor='white', linewidth=2, width=0.5)\n", + "ax6.text(0, ccorr + 0.05, f'{ccorr:.3f}', ha='center', fontsize=14, fontweight='bold')\n", + "ax6.set_ylabel('Correlation', fontsize=10)\n", + "ax6.set_title('Result: Envelope Correlation', fontsize=11, fontweight='bold')\n", + "ax6.set_ylim(-1, 1)\n", + "ax6.axhline(0, color='black', linestyle='--', alpha=0.3)\n", + "\n", + "plt.suptitle('Envelope Correlation Computation Pipeline', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 5: Envelope Correlation with Controlled Examples\n", + "\n", + "Let's build intuition with synthetic signals where we control the amplitude correlation." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def generate_amplitude_correlated_signals(\n", + " n_samples: int,\n", + " fs: float,\n", + " frequency: float,\n", + " correlation_target: float,\n", + " modulation_freq: float = 0.5,\n", + " seed: int | None = None\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Generate two signals with specified envelope correlation.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " frequency : float\n", + " Carrier frequency in Hz\n", + " correlation_target : float\n", + " Desired envelope correlation (-1 to 1)\n", + " modulation_freq : float, optional\n", + " Envelope modulation frequency in Hz (default: 0.5)\n", + " seed : int, optional\n", + " Random seed for reproducibility\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.float64], NDArray[np.float64]]\n", + " Two signals with correlated envelopes\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " t = np.arange(n_samples) / fs\n", + " \n", + " # Shared and independent envelope components\n", + " shared = np.sin(2 * np.pi * modulation_freq * t)\n", + " indep_x = np.sin(2 * np.pi * modulation_freq * 1.3 * t + np.random.uniform(0, 2*np.pi))\n", + " indep_y = np.sin(2 * np.pi * modulation_freq * 1.7 * t + np.random.uniform(0, 2*np.pi))\n", + " \n", + " # Mix shared and independent based on target correlation\n", + " # correlation_target ≈ shared_weight^2 (approximately)\n", + " if correlation_target >= 0:\n", + " shared_weight = np.sqrt(abs(correlation_target))\n", + " indep_weight = np.sqrt(1 - abs(correlation_target))\n", + " env_x = 1 + 0.4 * (shared_weight * shared + indep_weight * indep_x)\n", + " env_y = 1 + 0.4 * (shared_weight * shared + indep_weight * indep_y)\n", + " else:\n", + " shared_weight = np.sqrt(abs(correlation_target))\n", + " indep_weight = np.sqrt(1 - abs(correlation_target))\n", + " env_x = 1 + 0.4 * (shared_weight * shared + indep_weight * indep_x)\n", + " env_y = 1 + 0.4 * (-shared_weight * shared + indep_weight * indep_y) # Inverted\n", + " \n", + " # Ensure positive envelopes\n", + " env_x = np.maximum(env_x, 0.2)\n", + " env_y = np.maximum(env_y, 0.2)\n", + " \n", + " # Generate signals with independent phases\n", + " phase_x = 2 * np.pi * frequency * t\n", + " phase_y = 2 * np.pi * frequency * t + np.random.uniform(0, 2*np.pi)\n", + " \n", + " x = env_x * np.sin(phase_x) + 0.1 * np.random.randn(n_samples)\n", + " y = env_y * np.sin(phase_y) + 0.1 * np.random.randn(n_samples)\n", + " \n", + " return x, y" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: Grid of examples (2×2)\n", + "\n", + "fs = 500.0\n", + "n_samples = 5000\n", + "frequency = 10.0\n", + "band = (8, 12)\n", + "\n", + "scenarios = [\n", + " {'target': 0.9, 'title': 'High Positive'},\n", + " {'target': 0.0, 'title': 'No Correlation'},\n", + " {'target': 0.5, 'title': 'Moderate Positive'},\n", + " {'target': -0.6, 'title': 'Negative'}\n", + "]\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "axes = axes.flatten()\n", + "\n", + "for ax, scenario in zip(axes, scenarios):\n", + " x, y = generate_amplitude_correlated_signals(\n", + " n_samples, fs, frequency, scenario['target'], seed=42\n", + " )\n", + " \n", + " # Filter and extract envelopes\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " env_x = extract_envelope(x_filt)\n", + " env_y = extract_envelope(y_filt)\n", + " \n", + " # Actual correlation\n", + " actual_ccorr = compute_envelope_correlation_from_envelopes(env_x, env_y)\n", + " \n", + " t = np.arange(n_samples) / fs\n", + " \n", + " # Plot signals (faded) and envelopes\n", + " ax.plot(t, x_filt, color=COLORS['signal_1'], linewidth=0.5, alpha=0.3)\n", + " ax.plot(t, y_filt, color=COLORS['signal_2'], linewidth=0.5, alpha=0.3)\n", + " ax.plot(t, env_x, color=COLORS['signal_1'], linewidth=2, label='Env X')\n", + " ax.plot(t, env_y, color=COLORS['signal_2'], linewidth=2, label='Env Y')\n", + " \n", + " ax.set_xlabel('Time (s)', fontsize=10)\n", + " ax.set_ylabel('Amplitude', fontsize=10)\n", + " ax.set_title(f\"{scenario['title']}\\nTarget: {scenario['target']:.1f}, Actual CCorr: {actual_ccorr:.2f}\", \n", + " fontsize=11, fontweight='bold')\n", + " ax.legend(loc='upper right')\n", + " ax.set_xlim(0, 6)\n", + "\n", + "plt.suptitle('Envelope Correlation Examples', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6: CCorr vs shared modulation\n", + "\n", + "shared_proportions = np.linspace(0, 1, 20)\n", + "measured_ccorrs = []\n", + "\n", + "for prop in shared_proportions:\n", + " x, y = generate_amplitude_correlated_signals(\n", + " n_samples=10000, fs=500.0, frequency=10.0, \n", + " correlation_target=prop, seed=42\n", + " )\n", + " ccorr = compute_envelope_correlation(x, y, 500.0, (8, 12))\n", + " measured_ccorrs.append(ccorr)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "ax.plot(shared_proportions, measured_ccorrs, 'o-', color=COLORS['signal_1'], \n", + " linewidth=2, markersize=8, label='Measured CCorr')\n", + "ax.plot([0, 1], [0, 1], '--', color='gray', linewidth=2, label='Ideal (y=x)')\n", + "\n", + "ax.set_xlabel('Target Correlation', fontsize=12)\n", + "ax.set_ylabel('Measured Envelope Correlation', fontsize=12)\n", + "ax.set_title('Envelope Correlation Tracks Shared Modulation', fontsize=14, fontweight='bold')\n", + "ax.legend(loc='upper left', fontsize=11)\n", + "ax.set_xlim(-0.05, 1.05)\n", + "ax.set_ylim(-0.1, 1.1)\n", + "ax.grid(True, alpha=0.3)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 6: The Volume Conduction Problem (Again!)\n", + "\n", + "Volume conduction affects amplitude correlation too—and it's arguably **worse** than for phase metrics!\n", + "\n", + "**The problem**: When the same neural source projects to two electrodes, both see nearly identical signals with the same envelope. This creates artificially high CCorr.\n", + "\n", + "**Why it's worse than for phase**: With phase metrics like PLI/wPLI, we could exploit the fact that volume conduction creates zero-lag relationships. But for amplitude, the zero-lag component IS the signal we're trying to measure. There's no simple \"lag\" to filter out.\n", + "\n", + "**The solution**: **Orthogonalization** (Hipp et al., 2012)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 7: Volume conduction problem\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "duration = 5.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Single source with amplitude modulation\n", + "modulation = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "source = modulation * np.sin(2 * np.pi * 10 * t)\n", + "\n", + "# Two electrodes picking up the same source (volume conduction)\n", + "x_vc = source + 0.15 * np.random.randn(n_samples)\n", + "y_vc = 0.8 * source + 0.15 * np.random.randn(n_samples) # Slightly attenuated\n", + "\n", + "# Filter and extract envelopes\n", + "x_filt = bandpass_filter(x_vc, fs, (8, 12))\n", + "y_filt = bandpass_filter(y_vc, fs, (8, 12))\n", + "env_x = extract_envelope(x_filt)\n", + "env_y = extract_envelope(y_filt)\n", + "\n", + "ccorr_vc = compute_envelope_correlation_from_envelopes(env_x, env_y)\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Panel 1: The scenario\n", + "ax1 = axes[0, 0]\n", + "ax1.plot(t, source, color=COLORS['accent'], linewidth=2, label='True source')\n", + "ax1.set_xlabel('Time (s)', fontsize=11)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Single Neural Source', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right')\n", + "ax1.set_xlim(0, 3)\n", + "\n", + "# Panel 2: Signals at two electrodes\n", + "ax2 = axes[0, 1]\n", + "ax2.plot(t, x_filt, color=COLORS['signal_1'], linewidth=1, alpha=0.8, label='Electrode 1')\n", + "ax2.plot(t, y_filt, color=COLORS['signal_2'], linewidth=1, alpha=0.8, label='Electrode 2')\n", + "ax2.set_xlabel('Time (s)', fontsize=11)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Volume Conduction: Same source at two electrodes', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right')\n", + "ax2.set_xlim(0, 3)\n", + "\n", + "# Panel 3: Envelopes\n", + "ax3 = axes[1, 0]\n", + "ax3.plot(t, env_x, color=COLORS['signal_1'], linewidth=2, label='Envelope 1')\n", + "ax3.plot(t, env_y, color=COLORS['signal_2'], linewidth=2, label='Envelope 2')\n", + "ax3.set_xlabel('Time (s)', fontsize=11)\n", + "ax3.set_ylabel('Envelope', fontsize=11)\n", + "ax3.set_title('Nearly Identical Envelopes!', fontsize=12, fontweight='bold')\n", + "ax3.legend(loc='upper right')\n", + "\n", + "# Panel 4: Scatter + result\n", + "ax4 = axes[1, 1]\n", + "ax4.scatter(env_x, env_y, alpha=0.3, color=COLORS['warning'], s=5)\n", + "z = np.polyfit(env_x, env_y, 1)\n", + "p = np.poly1d(z)\n", + "x_line = np.linspace(env_x.min(), env_x.max(), 100)\n", + "ax4.plot(x_line, p(x_line), color='black', linewidth=2)\n", + "ax4.set_xlabel('Envelope 1', fontsize=11)\n", + "ax4.set_ylabel('Envelope 2', fontsize=11)\n", + "ax4.set_title(f'Spurious High Correlation!\\nCCorr = {ccorr_vc:.3f}', fontsize=12, fontweight='bold')\n", + "\n", + "plt.suptitle('Volume Conduction Inflates Envelope Correlation', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"⚠️ CCorr = {ccorr_vc:.3f} — This is SPURIOUS due to volume conduction!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 7: Orthogonalized Envelope Correlation\n", + "\n", + "**Orthogonalization** (Hipp et al., 2012) removes the zero-lag component that volume conduction creates.\n", + "\n", + "### The Method:\n", + "\n", + "1. Compute analytic signals $z_x(t)$ and $z_y(t)$\n", + "2. Orthogonalize: Remove the component of $z_y$ that's in phase with $z_x$:\n", + " $$z_{y\\perp}(t) = \\text{Im}(z_y(t) \\cdot e^{-i\\phi_x(t)})$$\n", + "3. Compute envelopes from orthogonalized signals\n", + "4. Correlate the orthogonalized envelopes\n", + "\n", + "### Properties:\n", + "\n", + "- Still ranges -1 to +1\n", + "- **Symmetric version**: Average correlations in both directions ($y\\perp x$ and $x\\perp y$)\n", + "- More conservative than standard CCorr\n", + "- Removes volume conduction artifacts" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def orthogonalize_signals(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Orthogonalize signals to remove zero-lag component.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal\n", + " y : NDArray[np.float64]\n", + " Second signal\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.float64], NDArray[np.float64]]\n", + " (y_orthogonalized_to_x, x_orthogonalized_to_y)\n", + " \n", + " Notes\n", + " -----\n", + " Implements Hipp et al. (2012) orthogonalization:\n", + " y_orth = Im(z_y * exp(-i * phase_x))\n", + " This removes the component of y that's in phase with x.\n", + " \"\"\"\n", + " # Bandpass filter\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " \n", + " # Analytic signals\n", + " z_x = signal.hilbert(x_filt)\n", + " z_y = signal.hilbert(y_filt)\n", + " \n", + " # Extract phases\n", + " phase_x = np.angle(z_x)\n", + " phase_y = np.angle(z_y)\n", + " \n", + " # Orthogonalize y with respect to x\n", + " # y_orth = Im(z_y * exp(-i * phase_x))\n", + " y_orth = np.imag(z_y * np.exp(-1j * phase_x))\n", + " \n", + " # Orthogonalize x with respect to y\n", + " x_orth = np.imag(z_x * np.exp(-1j * phase_y))\n", + " \n", + " return y_orth, x_orth\n", + "\n", + "\n", + "def compute_orthogonalized_envelope_correlation(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " symmetric: bool = True\n", + ") -> float:\n", + " \"\"\"\n", + " Compute envelope correlation with orthogonalization (AEC-c).\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal\n", + " y : NDArray[np.float64]\n", + " Second signal\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " symmetric : bool, optional\n", + " If True, average correlations in both directions (default: True)\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Orthogonalized envelope correlation in range [-1, 1]\n", + " \"\"\"\n", + " # Bandpass filter\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " \n", + " # Analytic signals\n", + " z_x = signal.hilbert(x_filt)\n", + " z_y = signal.hilbert(y_filt)\n", + " \n", + " # Extract phases and envelopes\n", + " phase_x = np.angle(z_x)\n", + " phase_y = np.angle(z_y)\n", + " env_x = np.abs(z_x)\n", + " env_y = np.abs(z_y)\n", + " \n", + " # Orthogonalize y with respect to x and get its envelope\n", + " y_orth = np.imag(z_y * np.exp(-1j * phase_x))\n", + " env_y_orth = np.abs(y_orth)\n", + " \n", + " # Correlate original x envelope with orthogonalized y envelope\n", + " corr_xy = compute_envelope_correlation_from_envelopes(env_x, env_y_orth)\n", + " \n", + " if symmetric:\n", + " # Also compute in the other direction\n", + " x_orth = np.imag(z_x * np.exp(-1j * phase_y))\n", + " env_x_orth = np.abs(x_orth)\n", + " corr_yx = compute_envelope_correlation_from_envelopes(env_y, env_x_orth)\n", + " \n", + " # Average both directions\n", + " return (corr_xy + corr_yx) / 2\n", + " \n", + " return corr_xy" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 8: Orthogonalization effect\n", + "\n", + "# Using the volume conduction signals from before\n", + "y_orth, x_orth = orthogonalize_signals(x_vc, y_vc, fs, (8, 12))\n", + "\n", + "# Get envelopes\n", + "env_y_orth = extract_envelope(y_orth)\n", + "env_x_orth = extract_envelope(x_orth)\n", + "\n", + "# Compute correlations\n", + "ccorr_standard = compute_envelope_correlation(x_vc, y_vc, fs, (8, 12))\n", + "ccorr_orth = compute_orthogonalized_envelope_correlation(x_vc, y_vc, fs, (8, 12))\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 8))\n", + "\n", + "# Original envelopes\n", + "ax1 = axes[0, 0]\n", + "ax1.plot(t, env_x, color=COLORS['signal_1'], linewidth=2, label='Envelope X')\n", + "ax1.plot(t, env_y, color=COLORS['signal_2'], linewidth=2, label='Envelope Y')\n", + "ax1.set_xlabel('Time (s)', fontsize=11)\n", + "ax1.set_ylabel('Envelope', fontsize=11)\n", + "ax1.set_title(f'Original Envelopes\\nCCorr = {ccorr_standard:.3f} (inflated!)', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right')\n", + "\n", + "# Orthogonalized signals\n", + "ax2 = axes[0, 1]\n", + "ax2.plot(t, y_orth, color=COLORS['signal_2'], linewidth=1, alpha=0.8, label='Y orthogonalized to X')\n", + "ax2.set_xlabel('Time (s)', fontsize=11)\n", + "ax2.set_ylabel('Amplitude', fontsize=11)\n", + "ax2.set_title('Orthogonalized Signal\\n(zero-lag component removed)', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right')\n", + "\n", + "# Orthogonalized envelopes\n", + "ax3 = axes[1, 0]\n", + "ax3.plot(t, env_x, color=COLORS['signal_1'], linewidth=2, label='Envelope X (original)')\n", + "ax3.plot(t, env_y_orth, color=COLORS['signal_2'], linewidth=2, label='Envelope Y (orthogonalized)')\n", + "ax3.set_xlabel('Time (s)', fontsize=11)\n", + "ax3.set_ylabel('Envelope', fontsize=11)\n", + "ax3.set_title('After Orthogonalization', fontsize=12, fontweight='bold')\n", + "ax3.legend(loc='upper right')\n", + "\n", + "# Comparison\n", + "ax4 = axes[1, 1]\n", + "bars = ax4.bar(['Standard\\nCCorr', 'Orthogonalized\\nCCorr'], [ccorr_standard, ccorr_orth],\n", + " color=[COLORS['warning'], COLORS['signal_1']], edgecolor='white', linewidth=2)\n", + "ax4.axhline(0, color='black', linestyle='-', linewidth=1)\n", + "for bar, val in zip(bars, [ccorr_standard, ccorr_orth]):\n", + " ax4.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.05,\n", + " f'{val:.3f}', ha='center', fontsize=12, fontweight='bold')\n", + "ax4.set_ylabel('Correlation', fontsize=11)\n", + "ax4.set_title('Volume Conduction Corrected!', fontsize=12, fontweight='bold')\n", + "ax4.set_ylim(-0.2, 1.1)\n", + "\n", + "plt.suptitle('Orthogonalization Removes Zero-Lag (Volume Conduction) Contribution', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Standard CCorr: {ccorr_standard:.3f} (spuriously high)\")\n", + "print(f\"Orthogonalized CCorr: {ccorr_orth:.3f} (corrected)\")\n", + "print(f\"\\n✅ Orthogonalization successfully removed the volume conduction artifact!\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 9: Comparison bar chart - standard vs orthogonalized\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "n_samples = 10000\n", + "t = np.arange(n_samples) / fs\n", + "band = (8, 12)\n", + "\n", + "# Volume conduction scenario\n", + "source_vc = (1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)) * np.sin(2 * np.pi * 10 * t)\n", + "x_vc = source_vc + 0.1 * np.random.randn(n_samples)\n", + "y_vc = 0.9 * source_vc + 0.1 * np.random.randn(n_samples)\n", + "\n", + "# True connection scenario (with lag)\n", + "mod_true = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "x_true = mod_true * np.sin(2 * np.pi * 10 * t) + 0.2 * np.random.randn(n_samples)\n", + "y_true = mod_true * np.sin(2 * np.pi * 10 * t + np.pi/4) + 0.2 * np.random.randn(n_samples) # Phase lag\n", + "\n", + "# Compute correlations\n", + "ccorr_vc_std = compute_envelope_correlation(x_vc, y_vc, fs, band)\n", + "ccorr_vc_orth = compute_orthogonalized_envelope_correlation(x_vc, y_vc, fs, band)\n", + "ccorr_true_std = compute_envelope_correlation(x_true, y_true, fs, band)\n", + "ccorr_true_orth = compute_orthogonalized_envelope_correlation(x_true, y_true, fs, band)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "x_pos = np.array([0, 1, 3, 4])\n", + "values = [ccorr_vc_std, ccorr_vc_orth, ccorr_true_std, ccorr_true_orth]\n", + "colors_bar = [COLORS['warning'], COLORS['signal_1'], COLORS['warning'], COLORS['signal_1']]\n", + "labels = ['Standard', 'Orthogonalized', 'Standard', 'Orthogonalized']\n", + "\n", + "bars = ax.bar(x_pos, values, color=colors_bar, edgecolor='white', linewidth=2, width=0.8)\n", + "\n", + "for bar, val in zip(bars, values):\n", + " ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.03,\n", + " f'{val:.3f}', ha='center', fontsize=11, fontweight='bold')\n", + "\n", + "ax.set_xticks([0.5, 3.5])\n", + "ax.set_xticklabels(['Volume Conduction\\n(Should be LOW)', 'True Connection\\n(Should remain HIGH)'], fontsize=11)\n", + "ax.set_ylabel('Envelope Correlation', fontsize=12)\n", + "ax.set_title('Orthogonalization Distinguishes True from Spurious Connectivity', fontsize=14, fontweight='bold')\n", + "ax.set_ylim(0, 1.1)\n", + "\n", + "# Legend\n", + "from matplotlib.patches import Patch\n", + "legend_elements = [Patch(facecolor=COLORS['warning'], label='Standard CCorr'),\n", + " Patch(facecolor=COLORS['signal_1'], label='Orthogonalized CCorr')]\n", + "ax.legend(handles=legend_elements, loc='upper right', fontsize=11)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Volume Conduction:\")\n", + "print(f\" Standard: {ccorr_vc_std:.3f} → Orthogonalized: {ccorr_vc_orth:.3f} (correctly reduced)\")\n", + "print(f\"\\nTrue Connection:\")\n", + "print(f\" Standard: {ccorr_true_std:.3f} → Orthogonalized: {ccorr_true_orth:.3f} (remains high)\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 8: Time-Resolved Envelope Correlation\n", + "\n", + "Static CCorr gives a single value for the entire recording. But amplitude coupling may change over time! We can compute **dynamic CCorr** using sliding windows." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_envelope_correlation_timeseries(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " window_sec: float = 2.0,\n", + " overlap: float = 0.5,\n", + " orthogonalize: bool = True\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute time-resolved envelope correlation.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal\n", + " y : NDArray[np.float64]\n", + " Second signal\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " window_sec : float, optional\n", + " Window length in seconds (default: 2.0)\n", + " overlap : float, optional\n", + " Overlap fraction 0-1 (default: 0.5)\n", + " orthogonalize : bool, optional\n", + " Whether to use orthogonalization (default: True)\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.float64], NDArray[np.float64]]\n", + " (time_centers, ccorr_values)\n", + " \"\"\"\n", + " window_samples = int(window_sec * fs)\n", + " step_samples = int(window_samples * (1 - overlap))\n", + " \n", + " # Filter once\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " \n", + " # Analytic signals\n", + " z_x = signal.hilbert(x_filt)\n", + " z_y = signal.hilbert(y_filt)\n", + " \n", + " n_samples = len(x)\n", + " time_centers = []\n", + " ccorr_values = []\n", + " \n", + " for start in range(0, n_samples - window_samples + 1, step_samples):\n", + " end = start + window_samples\n", + " \n", + " # Extract window\n", + " z_x_win = z_x[start:end]\n", + " z_y_win = z_y[start:end]\n", + " \n", + " if orthogonalize:\n", + " # Orthogonalize\n", + " phase_x = np.angle(z_x_win)\n", + " phase_y = np.angle(z_y_win)\n", + " \n", + " y_orth = np.imag(z_y_win * np.exp(-1j * phase_x))\n", + " x_orth = np.imag(z_x_win * np.exp(-1j * phase_y))\n", + " \n", + " env_x = np.abs(z_x_win)\n", + " env_y_orth = np.abs(y_orth)\n", + " env_y = np.abs(z_y_win)\n", + " env_x_orth = np.abs(x_orth)\n", + " \n", + " # Symmetric\n", + " corr1 = compute_envelope_correlation_from_envelopes(env_x, env_y_orth)\n", + " corr2 = compute_envelope_correlation_from_envelopes(env_y, env_x_orth)\n", + " ccorr = (corr1 + corr2) / 2\n", + " else:\n", + " env_x = np.abs(z_x_win)\n", + " env_y = np.abs(z_y_win)\n", + " ccorr = compute_envelope_correlation_from_envelopes(env_x, env_y)\n", + " \n", + " time_centers.append((start + end) / 2 / fs)\n", + " ccorr_values.append(ccorr)\n", + " \n", + " return np.array(time_centers), np.array(ccorr_values)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 10: Time-resolved CCorr\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "duration = 20.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Create signals with time-varying amplitude coupling\n", + "# First half: high coupling, second half: low coupling\n", + "shared_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "indep_mod_x = 1 + 0.5 * np.sin(2 * np.pi * 0.4 * t + 1.0)\n", + "indep_mod_y = 1 + 0.5 * np.sin(2 * np.pi * 0.5 * t + 2.0)\n", + "\n", + "# Coupling strength varies over time\n", + "coupling = np.ones(n_samples)\n", + "coupling[int(n_samples * 0.3):int(n_samples * 0.7)] = 0.2 # Low coupling in middle\n", + "\n", + "env_x = coupling * shared_mod + (1 - coupling) * indep_mod_x\n", + "env_y = coupling * shared_mod + (1 - coupling) * indep_mod_y\n", + "\n", + "x = env_x * np.sin(2 * np.pi * 10 * t) + 0.2 * np.random.randn(n_samples)\n", + "y = env_y * np.sin(2 * np.pi * 10 * t + np.pi/3) + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Compute time-resolved correlation\n", + "time_centers, ccorr_ts = compute_envelope_correlation_timeseries(\n", + " x, y, fs, (8, 12), window_sec=2.0, overlap=0.75, orthogonalize=True\n", + ")\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(14, 10), sharex=True)\n", + "\n", + "# Panel 1: Signals\n", + "ax1 = axes[0]\n", + "x_filt = bandpass_filter(x, fs, (8, 12))\n", + "y_filt = bandpass_filter(y, fs, (8, 12))\n", + "ax1.plot(t, x_filt, color=COLORS['signal_1'], linewidth=0.5, alpha=0.8, label='Signal X')\n", + "ax1.plot(t, y_filt, color=COLORS['signal_2'], linewidth=0.5, alpha=0.8, label='Signal Y')\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Filtered Signals (8-12 Hz)', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right')\n", + "\n", + "# Panel 2: Envelopes\n", + "ax2 = axes[1]\n", + "env_x_plot = extract_envelope(x_filt)\n", + "env_y_plot = extract_envelope(y_filt)\n", + "ax2.plot(t, env_x_plot, color=COLORS['signal_1'], linewidth=1.5, label='Envelope X')\n", + "ax2.plot(t, env_y_plot, color=COLORS['signal_2'], linewidth=1.5, label='Envelope Y')\n", + "ax2.set_ylabel('Envelope', fontsize=11)\n", + "ax2.set_title('Amplitude Envelopes', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right')\n", + "\n", + "# Panel 3: Time-resolved CCorr\n", + "ax3 = axes[2]\n", + "ax3.plot(time_centers, ccorr_ts, color=COLORS['highlight'], linewidth=2)\n", + "ax3.fill_between(time_centers, 0, ccorr_ts, alpha=0.3, color=COLORS['highlight'])\n", + "ax3.axhline(0, color='black', linestyle='--', alpha=0.5)\n", + "\n", + "# Mark the regions\n", + "ax3.axvspan(0, duration * 0.3, alpha=0.1, color='green', label='High coupling')\n", + "ax3.axvspan(duration * 0.3, duration * 0.7, alpha=0.1, color='red', label='Low coupling')\n", + "ax3.axvspan(duration * 0.7, duration, alpha=0.1, color='green')\n", + "\n", + "ax3.set_xlabel('Time (s)', fontsize=11)\n", + "ax3.set_ylabel('CCorr', fontsize=11)\n", + "ax3.set_title('Time-Resolved Envelope Correlation', fontsize=12, fontweight='bold')\n", + "ax3.set_ylim(-0.5, 1)\n", + "ax3.legend(loc='upper right')\n", + "\n", + "plt.suptitle('Dynamic Envelope Correlation', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 9: Envelope Correlation Matrix\n", + "\n", + "For multi-channel analysis, we compute CCorr for all channel pairs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_envelope_correlation_matrix(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " orthogonalize: bool = True\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute envelope correlation matrix for all channel pairs.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " EEG data with shape (n_channels, n_samples)\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " orthogonalize : bool, optional\n", + " Whether to use orthogonalization (default: True)\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Correlation matrix with shape (n_channels, n_channels)\n", + " \"\"\"\n", + " n_channels = data.shape[0]\n", + " \n", + " # Filter all channels\n", + " data_filt = bandpass_filter(data, fs, band)\n", + " \n", + " # Analytic signals\n", + " z_data = signal.hilbert(data_filt, axis=-1)\n", + " phases = np.angle(z_data)\n", + " envelopes = np.abs(z_data)\n", + " \n", + " # Initialize matrix\n", + " ccorr_matrix = np.eye(n_channels) # Diagonal = 1\n", + " \n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " if orthogonalize:\n", + " # Orthogonalize j with respect to i\n", + " j_orth = np.imag(z_data[j] * np.exp(-1j * phases[i]))\n", + " env_j_orth = np.abs(j_orth)\n", + " corr1 = compute_envelope_correlation_from_envelopes(envelopes[i], env_j_orth)\n", + " \n", + " # Orthogonalize i with respect to j\n", + " i_orth = np.imag(z_data[i] * np.exp(-1j * phases[j]))\n", + " env_i_orth = np.abs(i_orth)\n", + " corr2 = compute_envelope_correlation_from_envelopes(envelopes[j], env_i_orth)\n", + " \n", + " ccorr = (corr1 + corr2) / 2\n", + " else:\n", + " ccorr = compute_envelope_correlation_from_envelopes(envelopes[i], envelopes[j])\n", + " \n", + " ccorr_matrix[i, j] = ccorr\n", + " ccorr_matrix[j, i] = ccorr\n", + " \n", + " return ccorr_matrix\n", + "\n", + "\n", + "def compute_envelope_correlation_matrix_bands(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " bands: dict[str, tuple[float, float]] | None = None,\n", + " orthogonalize: bool = True\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute envelope correlation matrices for multiple frequency bands.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " EEG data with shape (n_channels, n_samples)\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " bands : dict[str, tuple[float, float]], optional\n", + " Dictionary of frequency bands (default: standard EEG bands)\n", + " orthogonalize : bool, optional\n", + " Whether to use orthogonalization (default: True)\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " Dictionary mapping band names to correlation matrices\n", + " \"\"\"\n", + " if bands is None:\n", + " bands = {\n", + " 'theta': (4, 8),\n", + " 'alpha': (8, 13),\n", + " 'beta': (13, 30),\n", + " 'gamma': (30, 45)\n", + " }\n", + " \n", + " return {name: compute_envelope_correlation_matrix(data, fs, band, orthogonalize) \n", + " for name, band in bands.items()}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Generate multi-channel data\n", + "np.random.seed(42)\n", + "n_channels = 8\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Create data with amplitude coupling structure\n", + "data = np.zeros((n_channels, n_samples))\n", + "\n", + "# Shared modulation for cluster 1 (channels 0-2)\n", + "shared_mod_1 = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "for i in range(3):\n", + " phase = np.random.uniform(0, 2*np.pi)\n", + " data[i] = shared_mod_1 * np.sin(2 * np.pi * 10 * t + phase) + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Shared modulation for cluster 2 (channels 3-5)\n", + "shared_mod_2 = 1 + 0.5 * np.sin(2 * np.pi * 0.4 * t + 1.5)\n", + "for i in range(3, 6):\n", + " phase = np.random.uniform(0, 2*np.pi)\n", + " data[i] = shared_mod_2 * np.sin(2 * np.pi * 10 * t + phase) + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Independent channels (6-7)\n", + "for i in range(6, 8):\n", + " indep_mod = 1 + 0.5 * np.sin(2 * np.pi * (0.3 + 0.1*i) * t + np.random.uniform(0, 2*np.pi))\n", + " phase = np.random.uniform(0, 2*np.pi)\n", + " data[i] = indep_mod * np.sin(2 * np.pi * 10 * t + phase) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Compute matrices\n", + "ccorr_std = compute_envelope_correlation_matrix(data, fs, (8, 12), orthogonalize=False)\n", + "ccorr_orth = compute_envelope_correlation_matrix(data, fs, (8, 12), orthogonalize=True)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 11: Standard vs orthogonalized matrices\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Standard CCorr\n", + "ax1 = axes[0]\n", + "im1 = ax1.imshow(ccorr_std, cmap='RdBu_r', vmin=-1, vmax=1, aspect='equal')\n", + "ax1.set_title('Standard Envelope Correlation', fontsize=12, fontweight='bold')\n", + "ax1.set_xlabel('Channel', fontsize=11)\n", + "ax1.set_ylabel('Channel', fontsize=11)\n", + "ax1.set_xticks(range(n_channels))\n", + "ax1.set_yticks(range(n_channels))\n", + "\n", + "# Cluster separators\n", + "for pos in [2.5, 5.5]:\n", + " ax1.axhline(pos, color='white', linewidth=1)\n", + " ax1.axvline(pos, color='white', linewidth=1)\n", + "\n", + "plt.colorbar(im1, ax=ax1, shrink=0.8, label='CCorr')\n", + "\n", + "# Orthogonalized CCorr\n", + "ax2 = axes[1]\n", + "im2 = ax2.imshow(ccorr_orth, cmap='RdBu_r', vmin=-1, vmax=1, aspect='equal')\n", + "ax2.set_title('Orthogonalized Envelope Correlation', fontsize=12, fontweight='bold')\n", + "ax2.set_xlabel('Channel', fontsize=11)\n", + "ax2.set_ylabel('Channel', fontsize=11)\n", + "ax2.set_xticks(range(n_channels))\n", + "ax2.set_yticks(range(n_channels))\n", + "\n", + "for pos in [2.5, 5.5]:\n", + " ax2.axhline(pos, color='white', linewidth=1)\n", + " ax2.axvline(pos, color='white', linewidth=1)\n", + "\n", + "plt.colorbar(im2, ax=ax2, shrink=0.8, label='CCorr-orth')\n", + "\n", + "plt.suptitle('Envelope Correlation Matrix: Standard vs Orthogonalized\\n'\n", + " 'Cluster 1: ch 0-2, Cluster 2: ch 3-5, Independent: ch 6-7', \n", + " fontsize=13, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 10: Envelope Correlation for Hyperscanning\n", + "\n", + "**Inter-brain envelope correlation** asks: Do participants' brain activity levels co-fluctuate?\n", + "\n", + "This is a fundamentally different question from phase synchrony. High inter-brain amplitude correlation might reflect:\n", + "- Shared emotional engagement\n", + "- Co-activation patterns during joint attention\n", + "- Shared arousal states\n", + "\n", + "**Important**: There's no volume conduction between brains! So orthogonalization is less critical for **between-brain** connectivity (though still useful for **within-brain** blocks)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_envelope_correlation_hyperscanning(\n", + " data_p1: NDArray[np.float64],\n", + " data_p2: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " orthogonalize_within: bool = True,\n", + " orthogonalize_between: bool = False\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute envelope correlation matrices for hyperscanning.\n", + " \n", + " Parameters\n", + " ----------\n", + " data_p1 : NDArray[np.float64]\n", + " Data from participant 1, shape (n_channels, n_samples)\n", + " data_p2 : NDArray[np.float64]\n", + " Data from participant 2, shape (n_channels, n_samples)\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " orthogonalize_within : bool, optional\n", + " Orthogonalize within-brain pairs (default: True)\n", + " orthogonalize_between : bool, optional\n", + " Orthogonalize between-brain pairs (default: False)\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " Dictionary containing within_p1, within_p2, between, and full matrices\n", + " \"\"\"\n", + " n_ch1 = data_p1.shape[0]\n", + " n_ch2 = data_p2.shape[0]\n", + " \n", + " # Filter and get analytic signals\n", + " data_p1_filt = bandpass_filter(data_p1, fs, band)\n", + " data_p2_filt = bandpass_filter(data_p2, fs, band)\n", + " \n", + " z_p1 = signal.hilbert(data_p1_filt, axis=-1)\n", + " z_p2 = signal.hilbert(data_p2_filt, axis=-1)\n", + " \n", + " phases_p1 = np.angle(z_p1)\n", + " phases_p2 = np.angle(z_p2)\n", + " envs_p1 = np.abs(z_p1)\n", + " envs_p2 = np.abs(z_p2)\n", + " \n", + " # Within P1\n", + " within_p1 = np.eye(n_ch1)\n", + " for i in range(n_ch1):\n", + " for j in range(i + 1, n_ch1):\n", + " if orthogonalize_within:\n", + " j_orth = np.abs(np.imag(z_p1[j] * np.exp(-1j * phases_p1[i])))\n", + " i_orth = np.abs(np.imag(z_p1[i] * np.exp(-1j * phases_p1[j])))\n", + " c1 = compute_envelope_correlation_from_envelopes(envs_p1[i], j_orth)\n", + " c2 = compute_envelope_correlation_from_envelopes(envs_p1[j], i_orth)\n", + " ccorr = (c1 + c2) / 2\n", + " else:\n", + " ccorr = compute_envelope_correlation_from_envelopes(envs_p1[i], envs_p1[j])\n", + " within_p1[i, j] = ccorr\n", + " within_p1[j, i] = ccorr\n", + " \n", + " # Within P2\n", + " within_p2 = np.eye(n_ch2)\n", + " for i in range(n_ch2):\n", + " for j in range(i + 1, n_ch2):\n", + " if orthogonalize_within:\n", + " j_orth = np.abs(np.imag(z_p2[j] * np.exp(-1j * phases_p2[i])))\n", + " i_orth = np.abs(np.imag(z_p2[i] * np.exp(-1j * phases_p2[j])))\n", + " c1 = compute_envelope_correlation_from_envelopes(envs_p2[i], j_orth)\n", + " c2 = compute_envelope_correlation_from_envelopes(envs_p2[j], i_orth)\n", + " ccorr = (c1 + c2) / 2\n", + " else:\n", + " ccorr = compute_envelope_correlation_from_envelopes(envs_p2[i], envs_p2[j])\n", + " within_p2[i, j] = ccorr\n", + " within_p2[j, i] = ccorr\n", + " \n", + " # Between participants\n", + " between = np.zeros((n_ch1, n_ch2))\n", + " for i in range(n_ch1):\n", + " for j in range(n_ch2):\n", + " if orthogonalize_between:\n", + " j_orth = np.abs(np.imag(z_p2[j] * np.exp(-1j * phases_p1[i])))\n", + " i_orth = np.abs(np.imag(z_p1[i] * np.exp(-1j * phases_p2[j])))\n", + " c1 = compute_envelope_correlation_from_envelopes(envs_p1[i], j_orth)\n", + " c2 = compute_envelope_correlation_from_envelopes(envs_p2[j], i_orth)\n", + " ccorr = (c1 + c2) / 2\n", + " else:\n", + " ccorr = compute_envelope_correlation_from_envelopes(envs_p1[i], envs_p2[j])\n", + " between[i, j] = ccorr\n", + " \n", + " # Full matrix\n", + " n_total = n_ch1 + n_ch2\n", + " full = np.zeros((n_total, n_total))\n", + " full[:n_ch1, :n_ch1] = within_p1\n", + " full[n_ch1:, n_ch1:] = within_p2\n", + " full[:n_ch1, n_ch1:] = between\n", + " full[n_ch1:, :n_ch1] = between.T\n", + " \n", + " return {\n", + " 'within_p1': within_p1,\n", + " 'within_p2': within_p2,\n", + " 'between': between,\n", + " 'full': full\n", + " }\n", + "\n", + "\n", + "def compute_global_envelope_correlation_hyperscanning(\n", + " ccorr_dict: dict[str, NDArray[np.float64]]\n", + ") -> dict[str, float]:\n", + " \"\"\"\n", + " Compute summary statistics for hyperscanning envelope correlation.\n", + " \n", + " Parameters\n", + " ----------\n", + " ccorr_dict : dict[str, NDArray[np.float64]]\n", + " Output from compute_envelope_correlation_hyperscanning\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, float]\n", + " Mean values for within_p1, within_p2, and between\n", + " \"\"\"\n", + " n1 = ccorr_dict['within_p1'].shape[0]\n", + " n2 = ccorr_dict['within_p2'].shape[0]\n", + " \n", + " # Extract upper triangular (excluding diagonal) for within\n", + " within_p1_vals = ccorr_dict['within_p1'][np.triu_indices(n1, k=1)]\n", + " within_p2_vals = ccorr_dict['within_p2'][np.triu_indices(n2, k=1)]\n", + " \n", + " return {\n", + " 'mean_within_p1': float(np.mean(within_p1_vals)),\n", + " 'mean_within_p2': float(np.mean(within_p2_vals)),\n", + " 'mean_between': float(np.mean(ccorr_dict['between']))\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Generate hyperscanning data\n", + "np.random.seed(42)\n", + "n_channels_per = 4\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Shared between-brain modulation (weak)\n", + "shared_mod = 1 + 0.3 * np.sin(2 * np.pi * 0.2 * t)\n", + "\n", + "# P1 within-brain shared modulation\n", + "p1_mod = 1 + 0.4 * np.sin(2 * np.pi * 0.3 * t)\n", + "data_p1 = np.zeros((n_channels_per, n_samples))\n", + "for i in range(n_channels_per):\n", + " combined_mod = 0.5 * p1_mod + 0.3 * shared_mod + 0.2 * (1 + 0.3 * np.random.randn(n_samples))\n", + " phase = np.random.uniform(0, 2*np.pi)\n", + " data_p1[i] = combined_mod * np.sin(2 * np.pi * 10 * t + phase) + 0.15 * np.random.randn(n_samples)\n", + "\n", + "# P2 within-brain shared modulation\n", + "p2_mod = 1 + 0.4 * np.sin(2 * np.pi * 0.35 * t + 1.0)\n", + "data_p2 = np.zeros((n_channels_per, n_samples))\n", + "for i in range(n_channels_per):\n", + " combined_mod = 0.5 * p2_mod + 0.3 * shared_mod + 0.2 * (1 + 0.3 * np.random.randn(n_samples))\n", + " phase = np.random.uniform(0, 2*np.pi)\n", + " data_p2[i] = combined_mod * np.sin(2 * np.pi * 10 * t + phase) + 0.15 * np.random.randn(n_samples)\n", + "\n", + "# Compute hyperscanning correlation\n", + "hyper_ccorr = compute_envelope_correlation_hyperscanning(\n", + " data_p1, data_p2, fs, (8, 12), \n", + " orthogonalize_within=True, orthogonalize_between=False\n", + ")\n", + "\n", + "stats_hyper = compute_global_envelope_correlation_hyperscanning(hyper_ccorr)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 13: Hyperscanning envelope correlation\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Full matrix\n", + "ax1 = axes[0]\n", + "im1 = ax1.imshow(hyper_ccorr['full'], cmap='RdBu_r', vmin=-1, vmax=1, aspect='equal')\n", + "\n", + "# Block separators\n", + "ax1.axhline(n_channels_per - 0.5, color='black', linewidth=2)\n", + "ax1.axvline(n_channels_per - 0.5, color='black', linewidth=2)\n", + "\n", + "# Labels\n", + "n_total = 2 * n_channels_per\n", + "labels = [f'P1-{i}' for i in range(n_channels_per)] + [f'P2-{i}' for i in range(n_channels_per)]\n", + "ax1.set_xticks(range(n_total))\n", + "ax1.set_yticks(range(n_total))\n", + "ax1.set_xticklabels(labels, rotation=45, ha='right')\n", + "ax1.set_yticklabels(labels)\n", + "\n", + "# Block annotations\n", + "ax1.text(1.5, 1.5, 'Within\\nP1', ha='center', va='center', fontsize=9, fontweight='bold')\n", + "ax1.text(5.5, 5.5, 'Within\\nP2', ha='center', va='center', fontsize=9, fontweight='bold')\n", + "ax1.text(5.5, 1.5, 'Between', ha='center', va='center', fontsize=9, fontweight='bold')\n", + "\n", + "ax1.set_title('Full Hyperscanning CCorr Matrix', fontsize=12, fontweight='bold')\n", + "plt.colorbar(im1, ax=ax1, shrink=0.8, label='CCorr')\n", + "\n", + "# Summary bar chart\n", + "ax2 = axes[1]\n", + "categories = ['Within P1', 'Within P2', 'Between']\n", + "values = [stats_hyper['mean_within_p1'], stats_hyper['mean_within_p2'], stats_hyper['mean_between']]\n", + "colors_bar = [COLORS['subject_1'], COLORS['subject_2'], COLORS['accent']]\n", + "\n", + "bars = ax2.bar(categories, values, color=colors_bar, edgecolor='white', linewidth=2)\n", + "for bar, val in zip(bars, values):\n", + " ax2.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.02,\n", + " f'{val:.3f}', ha='center', fontsize=11, fontweight='bold')\n", + "\n", + "ax2.set_ylabel('Mean CCorr', fontsize=11)\n", + "ax2.set_title('Mean Envelope Correlation by Block', fontsize=12, fontweight='bold')\n", + "ax2.set_ylim(0, 0.8)\n", + "ax2.axhline(0, color='black', linestyle='-', linewidth=1)\n", + "\n", + "plt.suptitle('Inter-Brain Amplitude Coupling in Hyperscanning', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 11: Envelope Correlation vs Phase Metrics\n", + "\n", + "Phase and amplitude connectivity capture **different phenomena**:\n", + "\n", + "| Aspect | Phase Metrics (PLV, wPLI) | Amplitude Metrics (CCorr) |\n", + "|--------|---------------------------|---------------------------|\n", + "| Question | Are oscillations aligned in time? | Do strengths fluctuate together? |\n", + "| Timescale | Fast (within-cycle, ms) | Slow (envelope changes, seconds) |\n", + "| Mechanism | Timing coordination | Activity level co-modulation |\n", + "\n", + "**They can agree or disagree**:\n", + "- Both high: Strong coupling on both dimensions\n", + "- High phase, low amplitude: Timing aligned but strengths independent\n", + "- High amplitude, low phase: Strengths coupled but timing independent\n", + "\n", + "**Recommendation**: Compute and report both—they provide complementary information!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_plv_from_phases(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"Compute PLV from phases.\"\"\"\n", + " phase_diff = phase_x - phase_y\n", + " return float(np.abs(np.mean(np.exp(1j * phase_diff))))\n", + "\n", + "\n", + "def compute_wpli_from_phases(\n", + " phase_x: NDArray[np.float64],\n", + " phase_y: NDArray[np.float64]\n", + ") -> float:\n", + " \"\"\"Compute wPLI from phases.\"\"\"\n", + " phase_diff = phase_x - phase_y\n", + " sin_diff = np.sin(phase_diff)\n", + " num = np.abs(np.sum(sin_diff))\n", + " den = np.sum(np.abs(sin_diff))\n", + " if den == 0:\n", + " return 0.0\n", + " return float(num / den)\n", + "\n", + "\n", + "def compare_phase_amplitude_connectivity(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> dict[str, float]:\n", + " \"\"\"\n", + " Compare phase and amplitude connectivity metrics.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal\n", + " y : NDArray[np.float64]\n", + " Second signal\n", + " fs : float\n", + " Sampling frequency\n", + " band : tuple[float, float]\n", + " Frequency band\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, float]\n", + " PLV, wPLI, CCorr, and CCorr-orth values\n", + " \"\"\"\n", + " # Filter\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " \n", + " # Phases\n", + " phase_x = extract_phase(x_filt)\n", + " phase_y = extract_phase(y_filt)\n", + " \n", + " # Phase metrics\n", + " plv = compute_plv_from_phases(phase_x, phase_y)\n", + " wpli = compute_wpli_from_phases(phase_x, phase_y)\n", + " \n", + " # Amplitude metrics\n", + " ccorr = compute_envelope_correlation(x, y, fs, band)\n", + " ccorr_orth = compute_orthogonalized_envelope_correlation(x, y, fs, band)\n", + " \n", + " return {\n", + " 'plv': plv,\n", + " 'wpli': wpli,\n", + " 'ccorr': ccorr,\n", + " 'ccorr_orth': ccorr_orth\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 14: Phase vs amplitude scatter\n", + "\n", + "np.random.seed(42)\n", + "n_pairs = 50\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "band = (8, 12)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "wpli_values = []\n", + "ccorr_orth_values = []\n", + "\n", + "for _ in range(n_pairs):\n", + " # Random coupling parameters\n", + " phase_coupling = np.random.uniform(0, 1)\n", + " amp_coupling = np.random.uniform(0, 1)\n", + " \n", + " # Generate signals\n", + " shared_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + " indep_mod_x = 1 + 0.5 * np.sin(2 * np.pi * 0.4 * t + np.random.uniform(0, 2*np.pi))\n", + " indep_mod_y = 1 + 0.5 * np.sin(2 * np.pi * 0.5 * t + np.random.uniform(0, 2*np.pi))\n", + " \n", + " env_x = np.sqrt(amp_coupling) * shared_mod + np.sqrt(1-amp_coupling) * indep_mod_x\n", + " env_y = np.sqrt(amp_coupling) * shared_mod + np.sqrt(1-amp_coupling) * indep_mod_y\n", + " \n", + " # Phase coupling\n", + " base_phase = 2 * np.pi * 10 * t\n", + " phase_x = base_phase\n", + " if phase_coupling < 0.5:\n", + " # Low phase coupling: add phase noise\n", + " phase_y = base_phase + np.cumsum(np.random.randn(n_samples)) * 0.1 / fs\n", + " else:\n", + " # High phase coupling: consistent lag\n", + " phase_y = base_phase + np.pi/4 + 0.1 * np.random.randn(n_samples)\n", + " \n", + " x = env_x * np.sin(phase_x) + 0.2 * np.random.randn(n_samples)\n", + " y = env_y * np.sin(phase_y) + 0.2 * np.random.randn(n_samples)\n", + " \n", + " result = compare_phase_amplitude_connectivity(x, y, fs, band)\n", + " wpli_values.append(result['wpli'])\n", + " ccorr_orth_values.append(result['ccorr_orth'])\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 8))\n", + "\n", + "ax.scatter(wpli_values, ccorr_orth_values, s=80, alpha=0.6, color=COLORS['signal_1'], edgecolors='white')\n", + "\n", + "# Reference lines\n", + "ax.axhline(0.3, color='gray', linestyle='--', alpha=0.5, label='Threshold = 0.3')\n", + "ax.axvline(0.3, color='gray', linestyle='--', alpha=0.5)\n", + "\n", + "# Quadrant labels\n", + "ax.text(0.15, 0.7, 'High Amplitude\\nLow Phase', ha='center', fontsize=10, style='italic')\n", + "ax.text(0.7, 0.7, 'High Both', ha='center', fontsize=10, style='italic')\n", + "ax.text(0.15, 0.1, 'Low Both', ha='center', fontsize=10, style='italic')\n", + "ax.text(0.7, 0.1, 'High Phase\\nLow Amplitude', ha='center', fontsize=10, style='italic')\n", + "\n", + "ax.set_xlabel('wPLI (Phase Connectivity)', fontsize=12)\n", + "ax.set_ylabel('CCorr-orth (Amplitude Connectivity)', fontsize=12)\n", + "ax.set_title('Phase vs Amplitude Connectivity: Different Dimensions\\n'\n", + " '(Not necessarily correlated!)', fontsize=14, fontweight='bold')\n", + "ax.set_xlim(0, 1)\n", + "ax.set_ylim(0, 1)\n", + "ax.legend(loc='lower right')\n", + "\n", + "# Correlation\n", + "r_val = np.corrcoef(wpli_values, ccorr_orth_values)[0, 1]\n", + "ax.text(0.05, 0.95, f'r = {r_val:.2f}', transform=ax.transAxes, fontsize=11, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Correlation between wPLI and CCorr-orth: r = {r_val:.3f}\")\n", + "print(\"\\n💡 Phase and amplitude connectivity capture different aspects of neural coupling!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 12: Hands-On Exercises\n", + "\n", + "Practice with envelope correlation!" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: Basic Envelope Correlation\n", + "# Generate two signals with shared amplitude modulation\n", + "# Verify high positive correlation\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# 1. Create a shared modulation signal\n", + "# 2. Apply it to two carriers with different phases\n", + "# 3. Compute CCorr and verify it's high\n", + "\n", + "print(\"Exercise 1: Basic envelope correlation\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Phase Independence\n", + "# Generate signals with correlated envelopes but random phases\n", + "# Compute CCorr (should be high) and wPLI (should be low)\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# This demonstrates: amplitude coupling ≠ phase coupling\n", + "\n", + "print(\"Exercise 2: Phase independence demonstration\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 3: Volume Conduction Demonstration\n", + "# Simulate volume conduction\n", + "# Compare standard vs orthogonalized CCorr\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# Key demonstration of orthogonalization value\n", + "\n", + "print(\"Exercise 3: Volume conduction demonstration\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 4: Time-Resolved Analysis\n", + "# Create signals where envelope correlation changes over time\n", + "# Compute sliding window CCorr\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# Track the dynamics of amplitude coupling\n", + "\n", + "print(\"Exercise 4: Time-resolved envelope correlation\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 5: CCorr Matrix\n", + "# Create 8-channel data with amplitude coupling structure\n", + "# Compare standard vs orthogonalized matrices\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# Identify which pairs show biggest difference after orthogonalization\n", + "\n", + "print(\"Exercise 5: CCorr matrix comparison\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 6: Phase vs Amplitude Dissociation\n", + "# Create signals with:\n", + "# Pair A: high phase coupling, low amplitude coupling\n", + "# Pair B: low phase coupling, high amplitude coupling\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# Verify the dissociation between metrics\n", + "\n", + "print(\"Exercise 6: Phase vs amplitude dissociation\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 7: Hyperscanning Application\n", + "# Create two-participant data with between-brain amplitude coupling\n", + "# Compare CCorr and wPLI results\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# Note differences in within vs between brain patterns\n", + "\n", + "print(\"Exercise 7: Hyperscanning envelope correlation\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **Envelope correlation** measures amplitude co-modulation—different from phase coupling!\n", + "\n", + "2. **Formula**: Pearson correlation of amplitude envelopes\n", + " - Range: -1 to +1 (can be negative)\n", + " - Pipeline: filter → Hilbert → envelopes → correlate\n", + "\n", + "3. **Volume conduction problem**: Inflates CCorr (same envelope at multiple electrodes)\n", + " - **Solution**: Orthogonalization removes zero-lag component\n", + " - Orthogonalized CCorr (AEC-c) is more conservative\n", + "\n", + "4. **For hyperscanning**:\n", + " - Captures shared activation/engagement\n", + " - Between-brain: orthogonalization less critical\n", + " - Within-brain: orthogonalization recommended\n", + "\n", + "5. **Report both** phase and amplitude metrics—they provide different information!\n", + "\n", + "---\n", + "\n", + "## Discussion Questions\n", + "\n", + "1. A colleague says \"we found high envelope correlation between frontal and parietal regions.\" What follow-up questions would you ask about their analysis?\n", + "\n", + "2. You find high wPLI but low envelope correlation between two regions. What might this mean neurophysiologically? What about the opposite pattern?\n", + "\n", + "3. Orthogonalization removes zero-lag components. But couldn't there be true instantaneous amplitude coupling? Is orthogonalization always appropriate?\n", + "\n", + "4. Envelope correlation operates on slow fluctuations (envelope changes). What timescale of neural processing might this capture compared to phase synchrony?\n", + "\n", + "5. For hyperscanning, you find strong between-brain envelope correlation in alpha band during a conversation task. Is this \"neural coupling\" or might there be alternative explanations (e.g., shared arousal from the task)?\n", + "\n", + "---\n", + "\n", + "## Next Steps\n", + "\n", + "Proceed to **H02: Power Correlation** to learn about another amplitude-based connectivity approach!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/H_amplitude_based/H02_power_correlation.ipynb b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/H_amplitude_based/H02_power_correlation.ipynb new file mode 100644 index 0000000..4dc3a70 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/notebooks/02_connectivity_metrics/H_amplitude_based/H02_power_correlation.ipynb @@ -0,0 +1,1847 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# H02: Power Correlation (PowCorr)\n", + "\n", + "**Duration**: 45 minutes \n", + "**Prerequisites**: H01 (Envelope Correlation), A03 (Power Spectrum) \n", + "**Next**: Workshop completion / Advanced topics\n", + "\n", + "---\n", + "\n", + "## Learning Objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "1. Distinguish power correlation from envelope correlation\n", + "2. Define power correlation as correlation of squared envelopes / band power\n", + "3. Implement power correlation computation\n", + "4. Understand time-windowed vs instantaneous approaches\n", + "5. Apply power correlation to hyperscanning analysis\n", + "6. Choose between envelope correlation and power correlation\n", + "7. Complete the amplitude connectivity toolkit" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Required imports\n", + "import numpy as np\n", + "from numpy.typing import NDArray\n", + "import matplotlib.pyplot as plt\n", + "from scipy import signal\n", + "from scipy import stats\n", + "from typing import Any, Tuple\n", + "\n", + "# Visualization settings\n", + "plt.style.use('seaborn-v0_8-whitegrid')\n", + "\n", + "# Color palette\n", + "COLORS = {\n", + " 'signal_1': '#2E86AB',\n", + " 'signal_2': '#E94F37',\n", + " 'accent': '#A23B72',\n", + " 'highlight': '#F18F01',\n", + " 'warning': '#C73E1D',\n", + " 'subject_1': '#2E86AB',\n", + " 'subject_2': '#E94F37',\n", + "}\n", + "\n", + "# Random seed for reproducibility\n", + "np.random.seed(42)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 1: Introduction — Power vs Amplitude\n", + "\n", + "In H01, we learned about **envelope correlation**, which measures the correlation between amplitude envelopes A(t). Now we explore a closely related metric: **power correlation**.\n", + "\n", + "The key distinction:\n", + "- **Amplitude**: A(t) = |z(t)| where z is the analytic signal\n", + "- **Power**: P(t) = A(t)² = |z(t)|²\n", + "\n", + "**Why power?** There are several reasons to consider power instead of amplitude:\n", + "\n", + "1. **Power is standard in spectral analysis**: When we compute PSDs, we work with power, not amplitude\n", + "2. **Energy relationship**: Power is more directly related to signal \"energy\"\n", + "3. **Emphasis on peaks**: Squaring emphasizes larger amplitude fluctuations more than smaller ones\n", + "\n", + "**Power correlation** is simply the Pearson correlation between power time series. If amplitudes are correlated, powers will be too (squaring is monotonic), but the values won't be identical—squaring changes the distribution and emphasizes extremes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Helper functions from H01\n", + "\n", + "def bandpass_filter(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " order: int = 4\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"Apply bandpass filter to signal.\"\"\"\n", + " nyq = fs / 2\n", + " low, high = band[0] / nyq, band[1] / nyq\n", + " b, a = signal.butter(order, [low, high], btype='band')\n", + " return signal.filtfilt(b, a, data, axis=-1)\n", + "\n", + "\n", + "def extract_envelope(\n", + " data: NDArray[np.float64]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"Extract amplitude envelope using Hilbert transform.\"\"\"\n", + " analytic = signal.hilbert(data, axis=-1)\n", + " return np.abs(analytic)\n", + "\n", + "\n", + "def extract_phase(\n", + " data: NDArray[np.float64]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"Extract instantaneous phase using Hilbert transform.\"\"\"\n", + " analytic = signal.hilbert(data, axis=-1)\n", + " return np.angle(analytic)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 1: Signal → Amplitude → Power\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "duration = 4.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "\n", + "# Create amplitude-modulated signal\n", + "modulation = 1 + 0.6 * np.sin(2 * np.pi * 0.3 * t)\n", + "carrier = np.sin(2 * np.pi * 10 * t)\n", + "sig = modulation * carrier + 0.15 * np.random.randn(len(t))\n", + "\n", + "# Filter and extract envelope/power\n", + "sig_filt = bandpass_filter(sig, fs, (8, 12))\n", + "envelope = extract_envelope(sig_filt)\n", + "power = envelope ** 2\n", + "\n", + "fig, axes = plt.subplots(3, 1, figsize=(12, 9), sharex=True)\n", + "\n", + "# Panel 1: Filtered signal\n", + "ax1 = axes[0]\n", + "ax1.plot(t, sig_filt, color=COLORS['signal_1'], linewidth=1, alpha=0.8)\n", + "ax1.set_ylabel('Signal x(t)', fontsize=11)\n", + "ax1.set_title('Filtered Signal (8-12 Hz)', fontsize=12, fontweight='bold')\n", + "\n", + "# Panel 2: Amplitude envelope\n", + "ax2 = axes[1]\n", + "ax2.plot(t, sig_filt, color=COLORS['signal_1'], linewidth=0.5, alpha=0.3)\n", + "ax2.plot(t, envelope, color=COLORS['highlight'], linewidth=2.5, label='Amplitude A(t)')\n", + "ax2.plot(t, -envelope, color=COLORS['highlight'], linewidth=2.5)\n", + "ax2.set_ylabel('Amplitude A(t)', fontsize=11)\n", + "ax2.set_title('Amplitude Envelope', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right')\n", + "\n", + "# Panel 3: Power\n", + "ax3 = axes[2]\n", + "ax3.fill_between(t, 0, power, color=COLORS['accent'], alpha=0.5)\n", + "ax3.plot(t, power, color=COLORS['accent'], linewidth=2, label='Power P(t) = A(t)²')\n", + "ax3.set_xlabel('Time (s)', fontsize=11)\n", + "ax3.set_ylabel('Power A(t)²', fontsize=11)\n", + "ax3.set_title('Instantaneous Power (amplitude squared)', fontsize=12, fontweight='bold')\n", + "ax3.legend(loc='upper right')\n", + "\n", + "# Annotate peak emphasis\n", + "peak_idx = np.argmax(envelope[500:1500]) + 500\n", + "ax2.annotate('Peak amplitude', xy=(t[peak_idx], envelope[peak_idx]), \n", + " xytext=(t[peak_idx] + 0.5, envelope[peak_idx] + 0.3),\n", + " arrowprops=dict(arrowstyle='->', color='black'), fontsize=10)\n", + "ax3.annotate('Peak MORE emphasized\\nin power (squared)', xy=(t[peak_idx], power[peak_idx]), \n", + " xytext=(t[peak_idx] + 0.5, power[peak_idx] + 0.5),\n", + " arrowprops=dict(arrowstyle='->', color='black'), fontsize=10)\n", + "\n", + "plt.suptitle('Signal → Amplitude → Power', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"💡 Power (A²) emphasizes large fluctuations more than amplitude (A)\")\n", + "print(f\" Max amplitude: {envelope.max():.2f}\")\n", + "print(f\" Max power: {power.max():.2f} = {envelope.max():.2f}² = {envelope.max()**2:.2f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 2: Power Correlation Definition\n", + "\n", + "**Power correlation** is defined as:\n", + "\n", + "$$PowCorr = Pearson(P_x, P_y) = Pearson(A_x^2, A_y^2)$$\n", + "\n", + "where $P(t) = A(t)^2 = |z(t)|^2$ is the instantaneous power.\n", + "\n", + "### Properties:\n", + "\n", + "- **Range**: -1 to +1 (like envelope correlation)\n", + "- **PowCorr = +1**: Powers perfectly positively correlated\n", + "- **PowCorr = 0**: No linear power relationship\n", + "- **PowCorr < 0**: Anti-correlated powers (rare)\n", + "\n", + "### Relationship to envelope correlation:\n", + "\n", + "- Usually highly correlated with CCorr\n", + "- PowCorr is typically slightly higher (squaring reduces noise relative to signal)\n", + "- Not identical—they have different emphases" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 2: Scatter of CCorr vs PowCorr for many signal pairs\n", + "\n", + "np.random.seed(42)\n", + "n_pairs = 100\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "band = (8, 12)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "ccorr_values = []\n", + "powcorr_values = []\n", + "\n", + "for _ in range(n_pairs):\n", + " # Random coupling strength\n", + " coupling = np.random.uniform(0, 1)\n", + " \n", + " # Generate signals with varying amplitude coupling\n", + " shared_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + " indep_mod_x = 1 + 0.5 * np.sin(2 * np.pi * (0.3 + np.random.uniform(-0.1, 0.1)) * t + np.random.uniform(0, 2*np.pi))\n", + " indep_mod_y = 1 + 0.5 * np.sin(2 * np.pi * (0.3 + np.random.uniform(-0.1, 0.1)) * t + np.random.uniform(0, 2*np.pi))\n", + " \n", + " env_x = np.sqrt(coupling) * shared_mod + np.sqrt(1-coupling) * indep_mod_x\n", + " env_y = np.sqrt(coupling) * shared_mod + np.sqrt(1-coupling) * indep_mod_y\n", + " \n", + " x = env_x * np.sin(2 * np.pi * 10 * t + np.random.uniform(0, 2*np.pi)) + 0.2 * np.random.randn(n_samples)\n", + " y = env_y * np.sin(2 * np.pi * 10 * t + np.random.uniform(0, 2*np.pi)) + 0.2 * np.random.randn(n_samples)\n", + " \n", + " # Filter and extract\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " env_x_meas = extract_envelope(x_filt)\n", + " env_y_meas = extract_envelope(y_filt)\n", + " pow_x = env_x_meas ** 2\n", + " pow_y = env_y_meas ** 2\n", + " \n", + " # Compute correlations\n", + " ccorr = stats.pearsonr(env_x_meas, env_y_meas)[0]\n", + " powcorr = stats.pearsonr(pow_x, pow_y)[0]\n", + " \n", + " ccorr_values.append(ccorr)\n", + " powcorr_values.append(powcorr)\n", + "\n", + "fig, ax = plt.subplots(figsize=(8, 8))\n", + "\n", + "ax.scatter(ccorr_values, powcorr_values, s=50, alpha=0.6, color=COLORS['signal_1'], edgecolors='white')\n", + "ax.plot([-0.2, 1], [-0.2, 1], 'k--', linewidth=2, label='y = x (identity)')\n", + "\n", + "# Fit line\n", + "z = np.polyfit(ccorr_values, powcorr_values, 1)\n", + "p = np.poly1d(z)\n", + "x_line = np.linspace(-0.2, 1, 100)\n", + "ax.plot(x_line, p(x_line), color=COLORS['highlight'], linewidth=2, \n", + " label=f'Fit: y = {z[0]:.2f}x + {z[1]:.2f}')\n", + "\n", + "ax.set_xlabel('Envelope Correlation (CCorr)', fontsize=12)\n", + "ax.set_ylabel('Power Correlation (PowCorr)', fontsize=12)\n", + "ax.set_title('Envelope vs Power Correlation: Related but Distinct', fontsize=14, fontweight='bold')\n", + "ax.legend(loc='lower right', fontsize=10)\n", + "ax.set_xlim(-0.2, 1)\n", + "ax.set_ylim(-0.2, 1)\n", + "ax.set_aspect('equal')\n", + "\n", + "# Correlation\n", + "r = np.corrcoef(ccorr_values, powcorr_values)[0, 1]\n", + "ax.text(0.05, 0.95, f'r = {r:.3f}', transform=ax.transAxes, fontsize=12, fontweight='bold')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Correlation between CCorr and PowCorr: r = {r:.3f}\")\n", + "print(f\"Mean difference (PowCorr - CCorr): {np.mean(np.array(powcorr_values) - np.array(ccorr_values)):.4f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 3: Two Approaches to Power Correlation\n", + "\n", + "There are two main approaches to computing power correlation:\n", + "\n", + "### Approach 1: Instantaneous Power Correlation\n", + "- Compute P(t) = A(t)² at each time point\n", + "- Correlate power time series\n", + "- **Advantage**: High temporal resolution\n", + "\n", + "### Approach 2: Windowed Band Power Correlation\n", + "- Divide signal into epochs/windows\n", + "- Compute band power for each window\n", + "- Correlate power values across windows\n", + "- **Advantage**: More robust estimates, lower variance\n", + "\n", + "**When to use which?**\n", + "- **Instantaneous**: Dynamic connectivity studies, short recordings\n", + "- **Windowed**: More stable estimates, trial-based designs, longer recordings" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 3: Instantaneous vs windowed power\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "duration = 10.0\n", + "t = np.arange(0, duration, 1/fs)\n", + "n_samples = len(t)\n", + "\n", + "# Create signal with power modulation\n", + "modulation = 1 + 0.6 * np.sin(2 * np.pi * 0.2 * t)\n", + "sig = modulation * np.sin(2 * np.pi * 10 * t) + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Filter and extract\n", + "sig_filt = bandpass_filter(sig, fs, (8, 12))\n", + "envelope = extract_envelope(sig_filt)\n", + "inst_power = envelope ** 2\n", + "\n", + "# Windowed power\n", + "window_sec = 1.0\n", + "window_samples = int(window_sec * fs)\n", + "step = window_samples // 2 # 50% overlap\n", + "\n", + "window_centers = []\n", + "windowed_power = []\n", + "\n", + "for start in range(0, n_samples - window_samples + 1, step):\n", + " end = start + window_samples\n", + " window_centers.append((start + end) / 2 / fs)\n", + " windowed_power.append(np.mean(inst_power[start:end]))\n", + "\n", + "window_centers = np.array(window_centers)\n", + "windowed_power = np.array(windowed_power)\n", + "\n", + "fig, axes = plt.subplots(2, 1, figsize=(14, 8), sharex=True)\n", + "\n", + "# Instantaneous power\n", + "ax1 = axes[0]\n", + "ax1.plot(t, inst_power, color=COLORS['signal_1'], linewidth=1, alpha=0.8)\n", + "ax1.fill_between(t, 0, inst_power, color=COLORS['signal_1'], alpha=0.3)\n", + "ax1.set_ylabel('Power', fontsize=11)\n", + "ax1.set_title('Instantaneous Power P(t) = A(t)²\\n(High temporal resolution, more variable)', \n", + " fontsize=12, fontweight='bold')\n", + "\n", + "# Windowed power\n", + "ax2 = axes[1]\n", + "ax2.plot(t, inst_power, color=COLORS['signal_1'], linewidth=0.5, alpha=0.3, label='Instantaneous')\n", + "ax2.step(window_centers, windowed_power, where='mid', color=COLORS['signal_2'], \n", + " linewidth=2.5, label=f'Windowed ({window_sec}s windows)')\n", + "ax2.scatter(window_centers, windowed_power, color=COLORS['signal_2'], s=50, zorder=5)\n", + "ax2.set_xlabel('Time (s)', fontsize=11)\n", + "ax2.set_ylabel('Power', fontsize=11)\n", + "ax2.set_title('Windowed Band Power\\n(Lower resolution, more robust)', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right')\n", + "\n", + "plt.suptitle('Instantaneous vs Windowed Power', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 4: Implementing Power Correlation\n", + "\n", + "Let's implement both approaches." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_instantaneous_power(\n", + " sig: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute instantaneous power time series.\n", + " \n", + " Parameters\n", + " ----------\n", + " sig : NDArray[np.float64]\n", + " Input signal\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Instantaneous power P(t) = A(t)²\n", + " \"\"\"\n", + " sig_filt = bandpass_filter(sig, fs, band)\n", + " envelope = extract_envelope(sig_filt)\n", + " return envelope ** 2\n", + "\n", + "\n", + "def compute_windowed_band_power(\n", + " sig: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " window_sec: float = 1.0,\n", + " overlap: float = 0.5\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute band power in sliding windows.\n", + " \n", + " Parameters\n", + " ----------\n", + " sig : NDArray[np.float64]\n", + " Input signal\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " window_sec : float, optional\n", + " Window length in seconds (default: 1.0)\n", + " overlap : float, optional\n", + " Overlap fraction 0-1 (default: 0.5)\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.float64], NDArray[np.float64]]\n", + " (time_centers, power_values)\n", + " \"\"\"\n", + " # First compute instantaneous power\n", + " inst_power = compute_instantaneous_power(sig, fs, band)\n", + " \n", + " window_samples = int(window_sec * fs)\n", + " step_samples = int(window_samples * (1 - overlap))\n", + " n_samples = len(sig)\n", + " \n", + " time_centers = []\n", + " power_values = []\n", + " \n", + " for start in range(0, n_samples - window_samples + 1, step_samples):\n", + " end = start + window_samples\n", + " time_centers.append((start + end) / 2 / fs)\n", + " power_values.append(np.mean(inst_power[start:end]))\n", + " \n", + " return np.array(time_centers), np.array(power_values)\n", + "\n", + "\n", + "def compute_power_correlation(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " method: str = \"instantaneous\",\n", + " window_sec: float = 1.0\n", + ") -> float:\n", + " \"\"\"\n", + " Compute power correlation between two signals.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal\n", + " y : NDArray[np.float64]\n", + " Second signal\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " method : str, optional\n", + " 'instantaneous' or 'windowed' (default: 'instantaneous')\n", + " window_sec : float, optional\n", + " Window length for windowed method (default: 1.0)\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Power correlation in range [-1, 1]\n", + " \"\"\"\n", + " if method == \"instantaneous\":\n", + " pow_x = compute_instantaneous_power(x, fs, band)\n", + " pow_y = compute_instantaneous_power(y, fs, band)\n", + " elif method == \"windowed\":\n", + " _, pow_x = compute_windowed_band_power(x, fs, band, window_sec)\n", + " _, pow_y = compute_windowed_band_power(y, fs, band, window_sec)\n", + " else:\n", + " raise ValueError(f\"Unknown method: {method}. Use 'instantaneous' or 'windowed'.\")\n", + " \n", + " # Handle constant signals\n", + " if np.std(pow_x) == 0 or np.std(pow_y) == 0:\n", + " return 0.0\n", + " \n", + " corr, _ = stats.pearsonr(pow_x, pow_y)\n", + " return float(corr)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 4: Computation pipeline\n", + "\n", + "fig, ax = plt.subplots(figsize=(14, 8))\n", + "ax.set_xlim(0, 10)\n", + "ax.set_ylim(0, 10)\n", + "ax.axis('off')\n", + "\n", + "# Helper function for boxes\n", + "def draw_box(ax, x, y, w, h, text, color, fontsize=9):\n", + " rect = plt.Rectangle((x-w/2, y-h/2), w, h, fill=True, \n", + " facecolor=color, edgecolor='black', linewidth=2, alpha=0.8)\n", + " ax.add_patch(rect)\n", + " ax.text(x, y, text, ha='center', va='center', fontsize=fontsize, fontweight='bold', wrap=True)\n", + "\n", + "def draw_arrow(ax, x1, y1, x2, y2, text=''):\n", + " ax.annotate('', xy=(x2, y2), xytext=(x1, y1),\n", + " arrowprops=dict(arrowstyle='->', color='black', lw=2))\n", + " if text:\n", + " mid_x, mid_y = (x1+x2)/2, (y1+y2)/2\n", + " ax.text(mid_x + 0.3, mid_y, text, fontsize=8)\n", + "\n", + "# Shared start\n", + "draw_box(ax, 5, 9, 3, 0.8, 'Raw Signals\\nx(t), y(t)', '#E8E8E8', 10)\n", + "draw_arrow(ax, 5, 8.6, 5, 8)\n", + "draw_box(ax, 5, 7.5, 3, 0.8, 'Bandpass Filter', COLORS['signal_1'])\n", + "draw_arrow(ax, 5, 7.1, 5, 6.5)\n", + "draw_box(ax, 5, 6, 3, 0.8, 'Hilbert Transform\\n→ Analytic signal', COLORS['signal_1'])\n", + "draw_arrow(ax, 5, 5.6, 5, 5)\n", + "draw_box(ax, 5, 4.5, 3, 0.8, 'Amplitude Envelope\\nA(t) = |z(t)|', COLORS['signal_1'])\n", + "draw_arrow(ax, 5, 4.1, 5, 3.5)\n", + "draw_box(ax, 5, 3, 3, 0.8, 'Square\\nP(t) = A(t)²', COLORS['highlight'])\n", + "\n", + "# Branch\n", + "draw_arrow(ax, 5, 2.6, 3, 2)\n", + "draw_arrow(ax, 5, 2.6, 7, 2)\n", + "\n", + "# Instantaneous path\n", + "draw_box(ax, 3, 1.5, 2.5, 0.8, 'Instantaneous\\nP(t)', COLORS['signal_1'])\n", + "draw_arrow(ax, 3, 1.1, 3, 0.5)\n", + "draw_box(ax, 3, 0, 2.5, 0.8, 'Pearson(Px, Py)', COLORS['accent'])\n", + "\n", + "# Windowed path\n", + "draw_box(ax, 7, 1.5, 2.5, 0.8, 'Window Average\\nmean(P)', COLORS['signal_2'])\n", + "draw_arrow(ax, 7, 1.1, 7, 0.5)\n", + "draw_box(ax, 7, 0, 2.5, 0.8, 'Pearson(Px, Py)', COLORS['accent'])\n", + "\n", + "# Labels\n", + "ax.text(3, -0.8, 'INSTANTANEOUS', ha='center', fontsize=11, fontweight='bold', color=COLORS['signal_1'])\n", + "ax.text(7, -0.8, 'WINDOWED', ha='center', fontsize=11, fontweight='bold', color=COLORS['signal_2'])\n", + "\n", + "ax.set_title('Power Correlation Computation Methods', fontsize=14, fontweight='bold', pad=20)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 5: Power Correlation with Examples" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def generate_power_correlated_signals(\n", + " n_samples: int,\n", + " fs: float,\n", + " frequency: float,\n", + " power_correlation_target: float,\n", + " modulation_freq: float = 0.5,\n", + " seed: int | None = None\n", + ") -> Tuple[NDArray[np.float64], NDArray[np.float64]]:\n", + " \"\"\"\n", + " Generate two signals with specified power correlation.\n", + " \n", + " Parameters\n", + " ----------\n", + " n_samples : int\n", + " Number of samples\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " frequency : float\n", + " Carrier frequency in Hz\n", + " power_correlation_target : float\n", + " Desired power correlation (0 to 1)\n", + " modulation_freq : float, optional\n", + " Modulation frequency in Hz (default: 0.5)\n", + " seed : int, optional\n", + " Random seed\n", + " \n", + " Returns\n", + " -------\n", + " Tuple[NDArray[np.float64], NDArray[np.float64]]\n", + " Two signals with correlated power\n", + " \"\"\"\n", + " if seed is not None:\n", + " np.random.seed(seed)\n", + " \n", + " t = np.arange(n_samples) / fs\n", + " \n", + " # Shared and independent modulation\n", + " shared = 1 + 0.5 * np.sin(2 * np.pi * modulation_freq * t)\n", + " indep_x = 1 + 0.5 * np.sin(2 * np.pi * modulation_freq * 1.3 * t + np.random.uniform(0, 2*np.pi))\n", + " indep_y = 1 + 0.5 * np.sin(2 * np.pi * modulation_freq * 1.7 * t + np.random.uniform(0, 2*np.pi))\n", + " \n", + " # Mix based on target\n", + " shared_weight = np.sqrt(max(0, power_correlation_target))\n", + " indep_weight = np.sqrt(1 - max(0, power_correlation_target))\n", + " \n", + " env_x = shared_weight * shared + indep_weight * indep_x\n", + " env_y = shared_weight * shared + indep_weight * indep_y\n", + " \n", + " # Ensure positive\n", + " env_x = np.maximum(env_x, 0.2)\n", + " env_y = np.maximum(env_y, 0.2)\n", + " \n", + " # Generate signals with independent phases\n", + " x = env_x * np.sin(2 * np.pi * frequency * t + np.random.uniform(0, 2*np.pi)) + 0.1 * np.random.randn(n_samples)\n", + " y = env_y * np.sin(2 * np.pi * frequency * t + np.random.uniform(0, 2*np.pi)) + 0.1 * np.random.randn(n_samples)\n", + " \n", + " return x, y" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 5: Power correlation example\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "n_samples = 5000\n", + "band = (8, 12)\n", + "\n", + "x, y = generate_power_correlated_signals(n_samples, fs, 10.0, 0.8, seed=42)\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Compute power\n", + "pow_x = compute_instantaneous_power(x, fs, band)\n", + "pow_y = compute_instantaneous_power(y, fs, band)\n", + "powcorr = stats.pearsonr(pow_x, pow_y)[0]\n", + "\n", + "fig, axes = plt.subplots(2, 2, figsize=(14, 10))\n", + "\n", + "# Panel 1: Filtered signals\n", + "ax1 = axes[0, 0]\n", + "x_filt = bandpass_filter(x, fs, band)\n", + "y_filt = bandpass_filter(y, fs, band)\n", + "ax1.plot(t, x_filt, color=COLORS['signal_1'], linewidth=1, alpha=0.8, label='Signal X')\n", + "ax1.plot(t, y_filt, color=COLORS['signal_2'], linewidth=1, alpha=0.8, label='Signal Y')\n", + "ax1.set_xlabel('Time (s)', fontsize=11)\n", + "ax1.set_ylabel('Amplitude', fontsize=11)\n", + "ax1.set_title('Filtered Signals (8-12 Hz)', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='upper right')\n", + "ax1.set_xlim(0, 5)\n", + "\n", + "# Panel 2: Power time series\n", + "ax2 = axes[0, 1]\n", + "ax2.plot(t, pow_x, color=COLORS['signal_1'], linewidth=1.5, label='Power X')\n", + "ax2.plot(t, pow_y, color=COLORS['signal_2'], linewidth=1.5, label='Power Y')\n", + "ax2.set_xlabel('Time (s)', fontsize=11)\n", + "ax2.set_ylabel('Power', fontsize=11)\n", + "ax2.set_title('Instantaneous Power P(t) = A(t)²', fontsize=12, fontweight='bold')\n", + "ax2.legend(loc='upper right')\n", + "\n", + "# Panel 3: Power scatter\n", + "ax3 = axes[1, 0]\n", + "ax3.scatter(pow_x, pow_y, alpha=0.2, color=COLORS['accent'], s=5)\n", + "# Fit line\n", + "z = np.polyfit(pow_x, pow_y, 1)\n", + "p = np.poly1d(z)\n", + "x_line = np.linspace(pow_x.min(), pow_x.max(), 100)\n", + "ax3.plot(x_line, p(x_line), color=COLORS['highlight'], linewidth=2, label=f'r = {powcorr:.3f}')\n", + "ax3.set_xlabel('Power X', fontsize=11)\n", + "ax3.set_ylabel('Power Y', fontsize=11)\n", + "ax3.set_title('Power Correlation', fontsize=12, fontweight='bold')\n", + "ax3.legend(loc='upper left')\n", + "\n", + "# Panel 4: Result\n", + "ax4 = axes[1, 1]\n", + "env_x = extract_envelope(x_filt)\n", + "env_y = extract_envelope(y_filt)\n", + "ccorr = stats.pearsonr(env_x, env_y)[0]\n", + "\n", + "bars = ax4.bar(['CCorr\\n(Envelope)', 'PowCorr\\n(Power)'], [ccorr, powcorr],\n", + " color=[COLORS['signal_1'], COLORS['accent']], edgecolor='white', linewidth=2)\n", + "for bar, val in zip(bars, [ccorr, powcorr]):\n", + " ax4.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.02,\n", + " f'{val:.3f}', ha='center', fontsize=12, fontweight='bold')\n", + "ax4.set_ylabel('Correlation', fontsize=11)\n", + "ax4.set_title('Comparison: Envelope vs Power Correlation', fontsize=12, fontweight='bold')\n", + "ax4.set_ylim(0, 1.1)\n", + "\n", + "plt.suptitle('Power Correlation Example', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 6: When CCorr and PowCorr diverge\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# Scenario: Add low-amplitude noise that affects envelope more than power\n", + "n_samples = 10000\n", + "fs = 500.0\n", + "t = np.arange(n_samples) / fs\n", + "band = (8, 12)\n", + "\n", + "# Clean signals with high coupling\n", + "shared_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "x_clean = shared_mod * np.sin(2 * np.pi * 10 * t)\n", + "y_clean = shared_mod * np.sin(2 * np.pi * 10 * t + np.pi/4)\n", + "\n", + "# Add different noise levels\n", + "noise_levels = [0.0, 0.3, 0.6, 1.0]\n", + "ccorrs = []\n", + "powcorrs = []\n", + "\n", + "for noise in noise_levels:\n", + " x = x_clean + noise * np.random.randn(n_samples)\n", + " y = y_clean + noise * np.random.randn(n_samples)\n", + " \n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " \n", + " env_x = extract_envelope(x_filt)\n", + " env_y = extract_envelope(y_filt)\n", + " pow_x = env_x ** 2\n", + " pow_y = env_y ** 2\n", + " \n", + " ccorrs.append(stats.pearsonr(env_x, env_y)[0])\n", + " powcorrs.append(stats.pearsonr(pow_x, pow_y)[0])\n", + "\n", + "fig, axes = plt.subplots(1, 2, figsize=(14, 5))\n", + "\n", + "# Line plot\n", + "ax1 = axes[0]\n", + "ax1.plot(noise_levels, ccorrs, 'o-', color=COLORS['signal_1'], linewidth=2, markersize=10, label='CCorr (Envelope)')\n", + "ax1.plot(noise_levels, powcorrs, 's-', color=COLORS['accent'], linewidth=2, markersize=10, label='PowCorr (Power)')\n", + "ax1.set_xlabel('Noise Level (std)', fontsize=12)\n", + "ax1.set_ylabel('Correlation', fontsize=12)\n", + "ax1.set_title('Effect of Noise on Envelope vs Power Correlation', fontsize=12, fontweight='bold')\n", + "ax1.legend(loc='lower left', fontsize=11)\n", + "ax1.set_ylim(0, 1.05)\n", + "ax1.grid(True, alpha=0.3)\n", + "\n", + "# Difference\n", + "ax2 = axes[1]\n", + "diff = np.array(powcorrs) - np.array(ccorrs)\n", + "colors_bar = [COLORS['highlight'] if d > 0 else COLORS['signal_2'] for d in diff]\n", + "bars = ax2.bar([f'{n}' for n in noise_levels], diff, color=colors_bar, edgecolor='white', linewidth=2)\n", + "ax2.axhline(0, color='black', linestyle='-', linewidth=1)\n", + "for bar, val in zip(bars, diff):\n", + " ax2.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.005 * np.sign(val),\n", + " f'{val:.3f}', ha='center', fontsize=10, fontweight='bold')\n", + "ax2.set_xlabel('Noise Level', fontsize=12)\n", + "ax2.set_ylabel('PowCorr - CCorr', fontsize=12)\n", + "ax2.set_title('Difference: Power correlation often slightly higher', fontsize=12, fontweight='bold')\n", + "\n", + "plt.suptitle('When Envelope and Power Correlation Diverge', fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"💡 Power correlation tends to be slightly more robust to noise\")\n", + "print(\" because squaring reduces relative noise contribution.\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 6: Volume Conduction and Orthogonalization\n", + "\n", + "Just like envelope correlation, **power correlation is inflated by volume conduction**. The same solution applies: **orthogonalization**." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_orthogonalized_power_correlation(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " symmetric: bool = True\n", + ") -> float:\n", + " \"\"\"\n", + " Compute power correlation with orthogonalization.\n", + " \n", + " Parameters\n", + " ----------\n", + " x : NDArray[np.float64]\n", + " First signal\n", + " y : NDArray[np.float64]\n", + " Second signal\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " symmetric : bool, optional\n", + " If True, average both directions (default: True)\n", + " \n", + " Returns\n", + " -------\n", + " float\n", + " Orthogonalized power correlation in range [-1, 1]\n", + " \"\"\"\n", + " # Bandpass filter\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " \n", + " # Analytic signals\n", + " z_x = signal.hilbert(x_filt)\n", + " z_y = signal.hilbert(y_filt)\n", + " \n", + " # Phases and envelopes\n", + " phase_x = np.angle(z_x)\n", + " phase_y = np.angle(z_y)\n", + " env_x = np.abs(z_x)\n", + " \n", + " # Orthogonalize y with respect to x\n", + " y_orth = np.imag(z_y * np.exp(-1j * phase_x))\n", + " env_y_orth = np.abs(y_orth)\n", + " \n", + " # Power\n", + " pow_x = env_x ** 2\n", + " pow_y_orth = env_y_orth ** 2\n", + " \n", + " # Correlation\n", + " if np.std(pow_x) == 0 or np.std(pow_y_orth) == 0:\n", + " corr1 = 0.0\n", + " else:\n", + " corr1 = stats.pearsonr(pow_x, pow_y_orth)[0]\n", + " \n", + " if symmetric:\n", + " # Also compute in other direction\n", + " env_y = np.abs(z_y)\n", + " x_orth = np.imag(z_x * np.exp(-1j * phase_y))\n", + " env_x_orth = np.abs(x_orth)\n", + " \n", + " pow_y = env_y ** 2\n", + " pow_x_orth = env_x_orth ** 2\n", + " \n", + " if np.std(pow_y) == 0 or np.std(pow_x_orth) == 0:\n", + " corr2 = 0.0\n", + " else:\n", + " corr2 = stats.pearsonr(pow_y, pow_x_orth)[0]\n", + " \n", + " return float((corr1 + corr2) / 2)\n", + " \n", + " return float(corr1)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 7: Volume conduction test\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "n_samples = 10000\n", + "t = np.arange(n_samples) / fs\n", + "band = (8, 12)\n", + "\n", + "# Volume conduction scenario\n", + "source = (1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)) * np.sin(2 * np.pi * 10 * t)\n", + "x_vc = source + 0.1 * np.random.randn(n_samples)\n", + "y_vc = 0.9 * source + 0.1 * np.random.randn(n_samples)\n", + "\n", + "# True connection scenario\n", + "mod = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "x_true = mod * np.sin(2 * np.pi * 10 * t) + 0.2 * np.random.randn(n_samples)\n", + "y_true = mod * np.sin(2 * np.pi * 10 * t + np.pi/4) + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Compute correlations\n", + "powcorr_vc_std = compute_power_correlation(x_vc, y_vc, fs, band)\n", + "powcorr_vc_orth = compute_orthogonalized_power_correlation(x_vc, y_vc, fs, band)\n", + "powcorr_true_std = compute_power_correlation(x_true, y_true, fs, band)\n", + "powcorr_true_orth = compute_orthogonalized_power_correlation(x_true, y_true, fs, band)\n", + "\n", + "fig, ax = plt.subplots(figsize=(10, 6))\n", + "\n", + "x_pos = np.array([0, 1, 3, 4])\n", + "values = [powcorr_vc_std, powcorr_vc_orth, powcorr_true_std, powcorr_true_orth]\n", + "colors_bar = [COLORS['warning'], COLORS['signal_1'], COLORS['warning'], COLORS['signal_1']]\n", + "\n", + "bars = ax.bar(x_pos, values, color=colors_bar, edgecolor='white', linewidth=2, width=0.8)\n", + "\n", + "for bar, val in zip(bars, values):\n", + " ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.03,\n", + " f'{val:.3f}', ha='center', fontsize=11, fontweight='bold')\n", + "\n", + "ax.set_xticks([0.5, 3.5])\n", + "ax.set_xticklabels(['Volume Conduction\\n(Should be LOW)', 'True Connection\\n(Should remain HIGH)'], fontsize=11)\n", + "ax.set_ylabel('Power Correlation', fontsize=12)\n", + "ax.set_title('Orthogonalized Power Correlation is Robust to Volume Conduction', fontsize=14, fontweight='bold')\n", + "ax.set_ylim(0, 1.1)\n", + "\n", + "# Legend\n", + "from matplotlib.patches import Patch\n", + "legend_elements = [Patch(facecolor=COLORS['warning'], label='Standard'),\n", + " Patch(facecolor=COLORS['signal_1'], label='Orthogonalized')]\n", + "ax.legend(handles=legend_elements, loc='upper right', fontsize=11)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"Volume Conduction:\")\n", + "print(f\" Standard: {powcorr_vc_std:.3f} → Orthogonalized: {powcorr_vc_orth:.3f}\")\n", + "print(f\"\\nTrue Connection:\")\n", + "print(f\" Standard: {powcorr_true_std:.3f} → Orthogonalized: {powcorr_true_orth:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 7: Power Correlation Matrix" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_power_correlation_matrix(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " orthogonalize: bool = True\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"\n", + " Compute power correlation matrix for all channel pairs.\n", + " \n", + " Parameters\n", + " ----------\n", + " data : NDArray[np.float64]\n", + " EEG data with shape (n_channels, n_samples)\n", + " fs : float\n", + " Sampling frequency in Hz\n", + " band : tuple[float, float]\n", + " Frequency band (low, high) in Hz\n", + " orthogonalize : bool, optional\n", + " Whether to use orthogonalization (default: True)\n", + " \n", + " Returns\n", + " -------\n", + " NDArray[np.float64]\n", + " Power correlation matrix\n", + " \"\"\"\n", + " n_channels = data.shape[0]\n", + " \n", + " # Filter and get analytic signals\n", + " data_filt = bandpass_filter(data, fs, band)\n", + " z_data = signal.hilbert(data_filt, axis=-1)\n", + " phases = np.angle(z_data)\n", + " envelopes = np.abs(z_data)\n", + " powers = envelopes ** 2\n", + " \n", + " # Initialize matrix\n", + " powcorr_matrix = np.eye(n_channels)\n", + " \n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " if orthogonalize:\n", + " # Orthogonalize j w.r.t. i\n", + " j_orth = np.imag(z_data[j] * np.exp(-1j * phases[i]))\n", + " pow_j_orth = np.abs(j_orth) ** 2\n", + " corr1 = stats.pearsonr(powers[i], pow_j_orth)[0] if np.std(pow_j_orth) > 0 else 0\n", + " \n", + " # Orthogonalize i w.r.t. j\n", + " i_orth = np.imag(z_data[i] * np.exp(-1j * phases[j]))\n", + " pow_i_orth = np.abs(i_orth) ** 2\n", + " corr2 = stats.pearsonr(powers[j], pow_i_orth)[0] if np.std(pow_i_orth) > 0 else 0\n", + " \n", + " powcorr = (corr1 + corr2) / 2\n", + " else:\n", + " powcorr = stats.pearsonr(powers[i], powers[j])[0]\n", + " \n", + " powcorr_matrix[i, j] = powcorr\n", + " powcorr_matrix[j, i] = powcorr\n", + " \n", + " return powcorr_matrix\n", + "\n", + "\n", + "def compute_envelope_correlation_matrix(\n", + " data: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " orthogonalize: bool = True\n", + ") -> NDArray[np.float64]:\n", + " \"\"\"Compute envelope correlation matrix (from H01).\"\"\"\n", + " n_channels = data.shape[0]\n", + " data_filt = bandpass_filter(data, fs, band)\n", + " z_data = signal.hilbert(data_filt, axis=-1)\n", + " phases = np.angle(z_data)\n", + " envelopes = np.abs(z_data)\n", + " \n", + " ccorr_matrix = np.eye(n_channels)\n", + " \n", + " for i in range(n_channels):\n", + " for j in range(i + 1, n_channels):\n", + " if orthogonalize:\n", + " j_orth = np.abs(np.imag(z_data[j] * np.exp(-1j * phases[i])))\n", + " i_orth = np.abs(np.imag(z_data[i] * np.exp(-1j * phases[j])))\n", + " c1 = stats.pearsonr(envelopes[i], j_orth)[0] if np.std(j_orth) > 0 else 0\n", + " c2 = stats.pearsonr(envelopes[j], i_orth)[0] if np.std(i_orth) > 0 else 0\n", + " ccorr = (c1 + c2) / 2\n", + " else:\n", + " ccorr = stats.pearsonr(envelopes[i], envelopes[j])[0]\n", + " \n", + " ccorr_matrix[i, j] = ccorr\n", + " ccorr_matrix[j, i] = ccorr\n", + " \n", + " return ccorr_matrix" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Generate multi-channel data\n", + "np.random.seed(42)\n", + "n_channels = 8\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "data = np.zeros((n_channels, n_samples))\n", + "\n", + "# Cluster 1 (ch 0-2): shared modulation\n", + "shared_mod_1 = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "for i in range(3):\n", + " data[i] = shared_mod_1 * np.sin(2 * np.pi * 10 * t + np.random.uniform(0, 2*np.pi)) + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Cluster 2 (ch 3-5): different shared modulation\n", + "shared_mod_2 = 1 + 0.5 * np.sin(2 * np.pi * 0.4 * t + 1.5)\n", + "for i in range(3, 6):\n", + " data[i] = shared_mod_2 * np.sin(2 * np.pi * 10 * t + np.random.uniform(0, 2*np.pi)) + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Independent (ch 6-7)\n", + "for i in range(6, 8):\n", + " indep_mod = 1 + 0.5 * np.sin(2 * np.pi * (0.3 + 0.1*i) * t + np.random.uniform(0, 2*np.pi))\n", + " data[i] = indep_mod * np.sin(2 * np.pi * 10 * t + np.random.uniform(0, 2*np.pi)) + 0.3 * np.random.randn(n_samples)\n", + "\n", + "# Compute matrices\n", + "ccorr_mat = compute_envelope_correlation_matrix(data, fs, (8, 12), orthogonalize=True)\n", + "powcorr_mat = compute_power_correlation_matrix(data, fs, (8, 12), orthogonalize=True)\n", + "diff_mat = powcorr_mat - ccorr_mat" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 8: Three matrices comparison\n", + "\n", + "fig, axes = plt.subplots(1, 3, figsize=(15, 4.5))\n", + "\n", + "# CCorr\n", + "ax1 = axes[0]\n", + "im1 = ax1.imshow(ccorr_mat, cmap='RdBu_r', vmin=-1, vmax=1, aspect='equal')\n", + "ax1.set_title('Envelope Correlation (CCorr)', fontsize=12, fontweight='bold')\n", + "ax1.set_xlabel('Channel', fontsize=11)\n", + "ax1.set_ylabel('Channel', fontsize=11)\n", + "ax1.set_xticks(range(n_channels))\n", + "ax1.set_yticks(range(n_channels))\n", + "for pos in [2.5, 5.5]:\n", + " ax1.axhline(pos, color='white', linewidth=1)\n", + " ax1.axvline(pos, color='white', linewidth=1)\n", + "plt.colorbar(im1, ax=ax1, shrink=0.8)\n", + "\n", + "# PowCorr\n", + "ax2 = axes[1]\n", + "im2 = ax2.imshow(powcorr_mat, cmap='RdBu_r', vmin=-1, vmax=1, aspect='equal')\n", + "ax2.set_title('Power Correlation (PowCorr)', fontsize=12, fontweight='bold')\n", + "ax2.set_xlabel('Channel', fontsize=11)\n", + "ax2.set_ylabel('Channel', fontsize=11)\n", + "ax2.set_xticks(range(n_channels))\n", + "ax2.set_yticks(range(n_channels))\n", + "for pos in [2.5, 5.5]:\n", + " ax2.axhline(pos, color='white', linewidth=1)\n", + " ax2.axvline(pos, color='white', linewidth=1)\n", + "plt.colorbar(im2, ax=ax2, shrink=0.8)\n", + "\n", + "# Difference\n", + "ax3 = axes[2]\n", + "max_diff = np.max(np.abs(diff_mat))\n", + "im3 = ax3.imshow(diff_mat, cmap='RdBu_r', vmin=-max_diff, vmax=max_diff, aspect='equal')\n", + "ax3.set_title('Difference (PowCorr - CCorr)', fontsize=12, fontweight='bold')\n", + "ax3.set_xlabel('Channel', fontsize=11)\n", + "ax3.set_ylabel('Channel', fontsize=11)\n", + "ax3.set_xticks(range(n_channels))\n", + "ax3.set_yticks(range(n_channels))\n", + "for pos in [2.5, 5.5]:\n", + " ax3.axhline(pos, color='black', linewidth=1, alpha=0.3)\n", + " ax3.axvline(pos, color='black', linewidth=1, alpha=0.3)\n", + "plt.colorbar(im3, ax=ax3, shrink=0.8)\n", + "\n", + "plt.suptitle('Comparing Envelope and Power Correlation Matrices (Orthogonalized)', \n", + " fontsize=14, fontweight='bold', y=1.02)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(f\"Mean absolute difference: {np.mean(np.abs(diff_mat[np.triu_indices(n_channels, k=1)])):.4f}\")\n", + "print(f\"Max absolute difference: {np.max(np.abs(diff_mat[np.triu_indices(n_channels, k=1)])):.4f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 8: Power Correlation for Hyperscanning" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_power_correlation_hyperscanning(\n", + " data_p1: NDArray[np.float64],\n", + " data_p2: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float],\n", + " orthogonalize_within: bool = True\n", + ") -> dict[str, NDArray[np.float64]]:\n", + " \"\"\"\n", + " Compute power correlation matrices for hyperscanning.\n", + " \n", + " Parameters\n", + " ----------\n", + " data_p1 : NDArray[np.float64]\n", + " Data from participant 1, shape (n_channels, n_samples)\n", + " data_p2 : NDArray[np.float64]\n", + " Data from participant 2\n", + " fs : float\n", + " Sampling frequency\n", + " band : tuple[float, float]\n", + " Frequency band\n", + " orthogonalize_within : bool, optional\n", + " Orthogonalize within-brain (default: True)\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, NDArray[np.float64]]\n", + " within_p1, within_p2, between, full matrices\n", + " \"\"\"\n", + " n_ch1 = data_p1.shape[0]\n", + " n_ch2 = data_p2.shape[0]\n", + " \n", + " # Filter and analytic\n", + " data_p1_filt = bandpass_filter(data_p1, fs, band)\n", + " data_p2_filt = bandpass_filter(data_p2, fs, band)\n", + " \n", + " z_p1 = signal.hilbert(data_p1_filt, axis=-1)\n", + " z_p2 = signal.hilbert(data_p2_filt, axis=-1)\n", + " \n", + " phases_p1 = np.angle(z_p1)\n", + " phases_p2 = np.angle(z_p2)\n", + " powers_p1 = np.abs(z_p1) ** 2\n", + " powers_p2 = np.abs(z_p2) ** 2\n", + " \n", + " # Within P1\n", + " within_p1 = np.eye(n_ch1)\n", + " for i in range(n_ch1):\n", + " for j in range(i + 1, n_ch1):\n", + " if orthogonalize_within:\n", + " j_orth = np.abs(np.imag(z_p1[j] * np.exp(-1j * phases_p1[i]))) ** 2\n", + " i_orth = np.abs(np.imag(z_p1[i] * np.exp(-1j * phases_p1[j]))) ** 2\n", + " c1 = stats.pearsonr(powers_p1[i], j_orth)[0] if np.std(j_orth) > 0 else 0\n", + " c2 = stats.pearsonr(powers_p1[j], i_orth)[0] if np.std(i_orth) > 0 else 0\n", + " pc = (c1 + c2) / 2\n", + " else:\n", + " pc = stats.pearsonr(powers_p1[i], powers_p1[j])[0]\n", + " within_p1[i, j] = pc\n", + " within_p1[j, i] = pc\n", + " \n", + " # Within P2\n", + " within_p2 = np.eye(n_ch2)\n", + " for i in range(n_ch2):\n", + " for j in range(i + 1, n_ch2):\n", + " if orthogonalize_within:\n", + " j_orth = np.abs(np.imag(z_p2[j] * np.exp(-1j * phases_p2[i]))) ** 2\n", + " i_orth = np.abs(np.imag(z_p2[i] * np.exp(-1j * phases_p2[j]))) ** 2\n", + " c1 = stats.pearsonr(powers_p2[i], j_orth)[0] if np.std(j_orth) > 0 else 0\n", + " c2 = stats.pearsonr(powers_p2[j], i_orth)[0] if np.std(i_orth) > 0 else 0\n", + " pc = (c1 + c2) / 2\n", + " else:\n", + " pc = stats.pearsonr(powers_p2[i], powers_p2[j])[0]\n", + " within_p2[i, j] = pc\n", + " within_p2[j, i] = pc\n", + " \n", + " # Between (no orthogonalization needed)\n", + " between = np.zeros((n_ch1, n_ch2))\n", + " for i in range(n_ch1):\n", + " for j in range(n_ch2):\n", + " between[i, j] = stats.pearsonr(powers_p1[i], powers_p2[j])[0]\n", + " \n", + " # Full matrix\n", + " n_total = n_ch1 + n_ch2\n", + " full = np.zeros((n_total, n_total))\n", + " full[:n_ch1, :n_ch1] = within_p1\n", + " full[n_ch1:, n_ch1:] = within_p2\n", + " full[:n_ch1, n_ch1:] = between\n", + " full[n_ch1:, :n_ch1] = between.T\n", + " \n", + " return {\n", + " 'within_p1': within_p1,\n", + " 'within_p2': within_p2,\n", + " 'between': between,\n", + " 'full': full\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Generate hyperscanning data\n", + "np.random.seed(42)\n", + "n_channels_per = 4\n", + "n_samples = 5000\n", + "fs = 500.0\n", + "t = np.arange(n_samples) / fs\n", + "\n", + "# Shared between-brain modulation\n", + "shared_mod = 1 + 0.3 * np.sin(2 * np.pi * 0.2 * t)\n", + "\n", + "# P1\n", + "p1_mod = 1 + 0.4 * np.sin(2 * np.pi * 0.3 * t)\n", + "data_p1 = np.zeros((n_channels_per, n_samples))\n", + "for i in range(n_channels_per):\n", + " combined = 0.5 * p1_mod + 0.3 * shared_mod + 0.2\n", + " data_p1[i] = combined * np.sin(2 * np.pi * 10 * t + np.random.uniform(0, 2*np.pi)) + 0.15 * np.random.randn(n_samples)\n", + "\n", + "# P2\n", + "p2_mod = 1 + 0.4 * np.sin(2 * np.pi * 0.35 * t + 1.0)\n", + "data_p2 = np.zeros((n_channels_per, n_samples))\n", + "for i in range(n_channels_per):\n", + " combined = 0.5 * p2_mod + 0.3 * shared_mod + 0.2\n", + " data_p2[i] = combined * np.sin(2 * np.pi * 10 * t + np.random.uniform(0, 2*np.pi)) + 0.15 * np.random.randn(n_samples)\n", + "\n", + "# Compute\n", + "hyper_powcorr = compute_power_correlation_hyperscanning(data_p1, data_p2, fs, (8, 12))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 9: Hyperscanning power correlation\n", + "\n", + "fig, ax = plt.subplots(figsize=(8, 7))\n", + "\n", + "im = ax.imshow(hyper_powcorr['full'], cmap='RdBu_r', vmin=-1, vmax=1, aspect='equal')\n", + "\n", + "# Block separators\n", + "ax.axhline(n_channels_per - 0.5, color='black', linewidth=2)\n", + "ax.axvline(n_channels_per - 0.5, color='black', linewidth=2)\n", + "\n", + "# Labels\n", + "n_total = 2 * n_channels_per\n", + "labels = [f'P1-{i}' for i in range(n_channels_per)] + [f'P2-{i}' for i in range(n_channels_per)]\n", + "ax.set_xticks(range(n_total))\n", + "ax.set_yticks(range(n_total))\n", + "ax.set_xticklabels(labels, rotation=45, ha='right')\n", + "ax.set_yticklabels(labels)\n", + "\n", + "# Block annotations\n", + "ax.text(1.5, 1.5, 'Within\\nP1', ha='center', va='center', fontsize=9, fontweight='bold')\n", + "ax.text(5.5, 5.5, 'Within\\nP2', ha='center', va='center', fontsize=9, fontweight='bold')\n", + "ax.text(5.5, 1.5, 'Between', ha='center', va='center', fontsize=9, fontweight='bold')\n", + "\n", + "ax.set_title('Inter-Brain Power Correlation', fontsize=14, fontweight='bold')\n", + "plt.colorbar(im, ax=ax, shrink=0.8, label='PowCorr')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Summary stats\n", + "mean_within_p1 = np.mean(hyper_powcorr['within_p1'][np.triu_indices(n_channels_per, k=1)])\n", + "mean_within_p2 = np.mean(hyper_powcorr['within_p2'][np.triu_indices(n_channels_per, k=1)])\n", + "mean_between = np.mean(hyper_powcorr['between'])\n", + "\n", + "print(f\"Mean power correlation:\")\n", + "print(f\" Within P1: {mean_within_p1:.3f}\")\n", + "print(f\" Within P2: {mean_within_p2:.3f}\")\n", + "print(f\" Between: {mean_between:.3f}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 9: Choosing Between Amplitude Metrics\n", + "\n", + "### Envelope Correlation (CCorr)\n", + "- Most commonly used in literature\n", + "- Linear in amplitude\n", + "- Easier to compare with existing studies\n", + "\n", + "### Power Correlation (PowCorr)\n", + "- Emphasizes larger fluctuations (squared)\n", + "- May be more robust to low-amplitude noise\n", + "- Matches spectral analysis (which uses power)\n", + "\n", + "**Recommendation**: CCorr is the standard choice. PowCorr is an alternative when robustness to noise is important. Always report which metric you used!" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 10: Complete Connectivity Comparison" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "def compute_all_amplitude_metrics(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> dict[str, float]:\n", + " \"\"\"\n", + " Compute all amplitude connectivity metrics.\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, float]\n", + " ccorr, ccorr_orth, powcorr, powcorr_orth\n", + " \"\"\"\n", + " # Filter and extract\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " \n", + " env_x = extract_envelope(x_filt)\n", + " env_y = extract_envelope(y_filt)\n", + " pow_x = env_x ** 2\n", + " pow_y = env_y ** 2\n", + " \n", + " ccorr = stats.pearsonr(env_x, env_y)[0]\n", + " powcorr = stats.pearsonr(pow_x, pow_y)[0]\n", + " \n", + " # Orthogonalized (simplified)\n", + " z_x = signal.hilbert(x_filt)\n", + " z_y = signal.hilbert(y_filt)\n", + " phase_x = np.angle(z_x)\n", + " phase_y = np.angle(z_y)\n", + " \n", + " y_orth = np.abs(np.imag(z_y * np.exp(-1j * phase_x)))\n", + " x_orth = np.abs(np.imag(z_x * np.exp(-1j * phase_y)))\n", + " \n", + " ccorr_orth = (stats.pearsonr(env_x, y_orth)[0] + stats.pearsonr(env_y, x_orth)[0]) / 2\n", + " powcorr_orth = (stats.pearsonr(pow_x, y_orth**2)[0] + stats.pearsonr(pow_y, x_orth**2)[0]) / 2\n", + " \n", + " return {\n", + " 'ccorr': ccorr,\n", + " 'ccorr_orth': ccorr_orth,\n", + " 'powcorr': powcorr,\n", + " 'powcorr_orth': powcorr_orth\n", + " }\n", + "\n", + "\n", + "def compute_all_connectivity_metrics(\n", + " x: NDArray[np.float64],\n", + " y: NDArray[np.float64],\n", + " fs: float,\n", + " band: tuple[float, float]\n", + ") -> dict[str, float]:\n", + " \"\"\"\n", + " Compute complete connectivity profile (phase + amplitude).\n", + " \n", + " Returns\n", + " -------\n", + " dict[str, float]\n", + " All phase and amplitude metrics\n", + " \"\"\"\n", + " # Filter\n", + " x_filt = bandpass_filter(x, fs, band)\n", + " y_filt = bandpass_filter(y, fs, band)\n", + " \n", + " # Analytic signals\n", + " z_x = signal.hilbert(x_filt)\n", + " z_y = signal.hilbert(y_filt)\n", + " \n", + " phase_x = np.angle(z_x)\n", + " phase_y = np.angle(z_y)\n", + " env_x = np.abs(z_x)\n", + " env_y = np.abs(z_y)\n", + " \n", + " phase_diff = phase_x - phase_y\n", + " \n", + " # Phase metrics\n", + " plv = float(np.abs(np.mean(np.exp(1j * phase_diff))))\n", + " \n", + " signs = np.sign(np.sin(phase_diff))\n", + " pli = float(np.abs(np.mean(signs)))\n", + " \n", + " sin_diff = np.sin(phase_diff)\n", + " wpli = float(np.abs(np.sum(sin_diff)) / np.sum(np.abs(sin_diff))) if np.sum(np.abs(sin_diff)) > 0 else 0\n", + " \n", + " # Amplitude metrics\n", + " pow_x = env_x ** 2\n", + " pow_y = env_y ** 2\n", + " \n", + " ccorr = stats.pearsonr(env_x, env_y)[0]\n", + " powcorr = stats.pearsonr(pow_x, pow_y)[0]\n", + " \n", + " # Orthogonalized\n", + " y_orth = np.abs(np.imag(z_y * np.exp(-1j * phase_x)))\n", + " x_orth = np.abs(np.imag(z_x * np.exp(-1j * phase_y)))\n", + " \n", + " ccorr_orth = (stats.pearsonr(env_x, y_orth)[0] + stats.pearsonr(env_y, x_orth)[0]) / 2\n", + " powcorr_orth = (stats.pearsonr(pow_x, y_orth**2)[0] + stats.pearsonr(pow_y, x_orth**2)[0]) / 2\n", + " \n", + " return {\n", + " 'plv': plv,\n", + " 'pli': pli,\n", + " 'wpli': wpli,\n", + " 'ccorr': ccorr,\n", + " 'ccorr_orth': ccorr_orth,\n", + " 'powcorr': powcorr,\n", + " 'powcorr_orth': powcorr_orth\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 11: Complete connectivity profile\n", + "\n", + "np.random.seed(42)\n", + "fs = 500.0\n", + "n_samples = 10000\n", + "t = np.arange(n_samples) / fs\n", + "band = (8, 12)\n", + "\n", + "# Create signals with both phase and amplitude coupling\n", + "shared_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + "x = shared_mod * np.sin(2 * np.pi * 10 * t) + 0.2 * np.random.randn(n_samples)\n", + "y = shared_mod * np.sin(2 * np.pi * 10 * t + np.pi/6) + 0.2 * np.random.randn(n_samples)\n", + "\n", + "# Compute all metrics\n", + "all_metrics = compute_all_connectivity_metrics(x, y, fs, band)\n", + "\n", + "fig, ax = plt.subplots(figsize=(12, 6))\n", + "\n", + "# Group metrics\n", + "phase_names = ['PLV', 'PLI', 'wPLI']\n", + "phase_values = [all_metrics['plv'], all_metrics['pli'], all_metrics['wpli']]\n", + "\n", + "amp_names = ['CCorr', 'CCorr-orth', 'PowCorr', 'PowCorr-orth']\n", + "amp_values = [all_metrics['ccorr'], all_metrics['ccorr_orth'], \n", + " all_metrics['powcorr'], all_metrics['powcorr_orth']]\n", + "\n", + "all_names = phase_names + [''] + amp_names # Gap between groups\n", + "all_values = phase_values + [0] + amp_values\n", + "colors = [COLORS['signal_1']]*3 + ['white'] + [COLORS['accent']]*4\n", + "\n", + "x_pos = np.arange(len(all_names))\n", + "bars = ax.bar(x_pos, all_values, color=colors, edgecolor=['black']*3 + ['white'] + ['black']*4, linewidth=2)\n", + "\n", + "# Labels\n", + "for i, (bar, val) in enumerate(zip(bars, all_values)):\n", + " if val > 0:\n", + " ax.text(bar.get_x() + bar.get_width()/2, bar.get_height() + 0.02,\n", + " f'{val:.3f}', ha='center', fontsize=10, fontweight='bold')\n", + "\n", + "ax.set_xticks(x_pos)\n", + "ax.set_xticklabels(all_names, fontsize=10)\n", + "ax.set_ylabel('Value', fontsize=12)\n", + "ax.set_title('Complete Connectivity Profile\\n(Phase + Amplitude Metrics)', fontsize=14, fontweight='bold')\n", + "ax.set_ylim(0, 1.1)\n", + "\n", + "# Group labels\n", + "ax.text(1, -0.15, 'PHASE', ha='center', fontsize=11, fontweight='bold', color=COLORS['signal_1'],\n", + " transform=ax.get_xaxis_transform())\n", + "ax.text(5.5, -0.15, 'AMPLITUDE', ha='center', fontsize=11, fontweight='bold', color=COLORS['accent'],\n", + " transform=ax.get_xaxis_transform())\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\nComplete Connectivity Profile:\")\n", + "print(\"=\"*40)\n", + "print(\"PHASE METRICS:\")\n", + "for name in ['plv', 'pli', 'wpli']:\n", + " print(f\" {name.upper()}: {all_metrics[name]:.3f}\")\n", + "print(\"\\nAMPLITUDE METRICS:\")\n", + "for name in ['ccorr', 'ccorr_orth', 'powcorr', 'powcorr_orth']:\n", + " print(f\" {name}: {all_metrics[name]:.3f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Visualization 12: Correlation matrix of metrics across many signal pairs\n", + "\n", + "np.random.seed(42)\n", + "n_pairs = 100\n", + "\n", + "metric_names = ['PLV', 'PLI', 'wPLI', 'CCorr', 'CCorr-orth', 'PowCorr', 'PowCorr-orth']\n", + "all_results = {name: [] for name in metric_names}\n", + "\n", + "for _ in range(n_pairs):\n", + " # Random coupling\n", + " phase_coupling = np.random.uniform(0, 1)\n", + " amp_coupling = np.random.uniform(0, 1)\n", + " \n", + " # Generate signals\n", + " shared_mod = 1 + 0.5 * np.sin(2 * np.pi * 0.3 * t)\n", + " indep_mod_x = 1 + 0.5 * np.sin(2 * np.pi * 0.4 * t + np.random.uniform(0, 2*np.pi))\n", + " indep_mod_y = 1 + 0.5 * np.sin(2 * np.pi * 0.5 * t + np.random.uniform(0, 2*np.pi))\n", + " \n", + " env_x = np.sqrt(amp_coupling) * shared_mod + np.sqrt(1-amp_coupling) * indep_mod_x\n", + " env_y = np.sqrt(amp_coupling) * shared_mod + np.sqrt(1-amp_coupling) * indep_mod_y\n", + " \n", + " if phase_coupling > 0.5:\n", + " phase_lag = np.pi/4\n", + " else:\n", + " phase_lag = np.random.uniform(0, 2*np.pi)\n", + " \n", + " x = env_x * np.sin(2 * np.pi * 10 * t) + 0.2 * np.random.randn(n_samples)\n", + " y = env_y * np.sin(2 * np.pi * 10 * t + phase_lag) + 0.2 * np.random.randn(n_samples)\n", + " \n", + " metrics = compute_all_connectivity_metrics(x, y, fs, band)\n", + " \n", + " all_results['PLV'].append(metrics['plv'])\n", + " all_results['PLI'].append(metrics['pli'])\n", + " all_results['wPLI'].append(metrics['wpli'])\n", + " all_results['CCorr'].append(metrics['ccorr'])\n", + " all_results['CCorr-orth'].append(metrics['ccorr_orth'])\n", + " all_results['PowCorr'].append(metrics['powcorr'])\n", + " all_results['PowCorr-orth'].append(metrics['powcorr_orth'])\n", + "\n", + "# Compute correlation matrix\n", + "metric_corr = np.zeros((7, 7))\n", + "for i, name_i in enumerate(metric_names):\n", + " for j, name_j in enumerate(metric_names):\n", + " metric_corr[i, j] = np.corrcoef(all_results[name_i], all_results[name_j])[0, 1]\n", + "\n", + "fig, ax = plt.subplots(figsize=(9, 8))\n", + "\n", + "im = ax.imshow(metric_corr, cmap='RdBu_r', vmin=-1, vmax=1, aspect='equal')\n", + "\n", + "# Add values\n", + "for i in range(7):\n", + " for j in range(7):\n", + " color = 'white' if abs(metric_corr[i, j]) > 0.5 else 'black'\n", + " ax.text(j, i, f'{metric_corr[i, j]:.2f}', ha='center', va='center', \n", + " fontsize=9, color=color, fontweight='bold')\n", + "\n", + "ax.set_xticks(range(7))\n", + "ax.set_yticks(range(7))\n", + "ax.set_xticklabels(metric_names, rotation=45, ha='right', fontsize=10)\n", + "ax.set_yticklabels(metric_names, fontsize=10)\n", + "\n", + "# Group separators\n", + "ax.axhline(2.5, color='black', linewidth=2)\n", + "ax.axvline(2.5, color='black', linewidth=2)\n", + "\n", + "ax.set_title('Relationships Between Connectivity Metrics\\n'\n", + " '(Phase metrics cluster; Amplitude metrics cluster)', fontsize=13, fontweight='bold')\n", + "plt.colorbar(im, ax=ax, shrink=0.8, label='Correlation')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print(\"\\n💡 Key observations:\")\n", + "print(\" - Phase metrics (PLV, PLI, wPLI) correlate with each other\")\n", + "print(\" - Amplitude metrics (CCorr, PowCorr) correlate with each other\")\n", + "print(\" - Phase and amplitude show weaker cross-correlation\")\n", + "print(\" - They capture DIFFERENT aspects of connectivity!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Section 11: Hands-On Exercises" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 1: Power Correlation Basics\n", + "# Generate signals with correlated power modulation\n", + "# Compute instantaneous power correlation\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "\n", + "print(\"Exercise 1: Basic power correlation\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 2: Instantaneous vs Windowed\n", + "# Compare both methods on the same signals\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# Discuss: When would you prefer windowed over instantaneous?\n", + "\n", + "print(\"Exercise 2: Instantaneous vs windowed comparison\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 3: CCorr vs PowCorr\n", + "# Generate signals where the two metrics diverge\n", + "# Hint: add low-amplitude noise\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "\n", + "print(\"Exercise 3: CCorr vs PowCorr divergence\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 4: Orthogonalization Check\n", + "# Simulate volume conduction\n", + "# Verify orthogonalized PowCorr is robust\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "\n", + "print(\"Exercise 4: Volume conduction test\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 5: Complete Metric Comparison\n", + "# Create channel pairs with different connectivity types\n", + "# Compute ALL metrics and interpret\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "\n", + "print(\"Exercise 5: Complete metric comparison\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Exercise 6: Hyperscanning Application\n", + "# Compare CCorr and PowCorr for hyperscanning\n", + "\n", + "np.random.seed(42)\n", + "\n", + "# YOUR CODE HERE\n", + "# Which metric would you report and why?\n", + "\n", + "print(\"Exercise 6: Hyperscanning comparison\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "---\n", + "\n", + "## Summary\n", + "\n", + "### Key Takeaways\n", + "\n", + "1. **Power correlation**: Correlation of squared amplitude (power) time series\n", + " - Power = A² emphasizes larger fluctuations\n", + " - Range: -1 to +1\n", + "\n", + "2. **Two approaches**:\n", + " - Instantaneous: continuous P(t), high temporal resolution\n", + " - Windowed: averaged power per epoch, more robust\n", + "\n", + "3. **Highly related to envelope correlation** — usually similar values\n", + " - PowCorr may be slightly more robust to low-amplitude noise\n", + "\n", + "4. **Orthogonalization** addresses volume conduction (like CCorr)\n", + "\n", + "5. **For hyperscanning**: Captures shared power fluctuations between participants\n", + "\n", + "6. **Choice**: CCorr is the standard; PowCorr is an alternative\n", + " - Always report which metric you used!\n", + "\n", + "7. **Complete toolkit now**:\n", + " - Phase: PLV, PLI, wPLI\n", + " - Amplitude: CCorr, CCorr-orth, PowCorr, PowCorr-orth\n", + " - Different metrics capture different aspects of connectivity!\n", + "\n", + "---\n", + "\n", + "## Discussion Questions\n", + "\n", + "1. In what scenarios would you expect envelope correlation and power correlation to give notably different results? What signal characteristics would drive this difference?\n", + "\n", + "2. You're designing a hyperscanning study and need to choose connectivity metrics. Would you compute both phase and amplitude metrics? How would you interpret results if they conflict?\n", + "\n", + "3. The literature mostly reports envelope correlation (AEC). Is there value in also reporting power correlation, or does it add unnecessary complexity?\n", + "\n", + "4. Power is A². What about using log-power (dB) for correlation? Would this be more or less sensitive to large fluctuations? When might log-power correlation be useful?\n", + "\n", + "5. Looking across all the metrics covered in this workshop (PLV, PLI, wPLI, CCorr, PowCorr), which would you recommend as a \"default\" set for a new hyperscanning study? Justify your choices.\n", + "\n", + "---\n", + "\n", + "## 🎉 Workshop Complete!\n", + "\n", + "Congratulations! You've completed the hyperscanning connectivity metrics workshop. You now have a comprehensive toolkit for analyzing neural connectivity:\n", + "\n", + "**Phase-based metrics** (timing alignment):\n", + "- PLV: Simple, high sensitivity\n", + "- PLI: Volume conduction robust\n", + "- wPLI: Robust to both VC and noise\n", + "\n", + "**Amplitude-based metrics** (strength co-modulation):\n", + "- CCorr: Standard amplitude coupling\n", + "- PowCorr: Power-based alternative\n", + "- Orthogonalized versions for VC robustness\n", + "\n", + "**Remember**: These metrics capture *different* aspects of neural connectivity. Use them together for a complete picture!" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "name": "python", + "version": "3.10.0" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/ConnectivityMetricsTutorials-main/pyproject.toml b/ConnectivityMetricsTutorials-main/pyproject.toml new file mode 100644 index 0000000..8020533 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/pyproject.toml @@ -0,0 +1,54 @@ +[tool.poetry] +name = "connectivity-metrics-tutorials" +version = "0.1.0" +description = "Educational workshop series on hyperscanning and EEG connectivity metrics" +authors = ["Ramdam17 "] +readme = "README.md" +packages = [{include = "src"}] + +[tool.poetry.dependencies] +python = ">=3.12,<3.14" +# Core scientific computing +numpy = "^2.2" +scipy = "^1.11" +# Visualization +matplotlib = "^3.8" +seaborn = "^0.13" +# EEG analysis +mne = "^1.6" +hypyp = ">=0.5.0b15" +# Jupyter support +jupyter = "^1.0" +ipykernel = "^6.27" +ipywidgets = "^8.1" +# Data handling +pandas = "^2.1" +# Network analysis +networkx = "^3.2" + +[tool.poetry.group.dev.dependencies] +# Linting and formatting +ruff = "^0.1" +mypy = "^1.7" +# Pre-commit hooks +pre-commit = "^3.6" +# Testing +pytest = "^7.4" + +[tool.ruff] +line-length = 88 +target-version = "py311" +select = ["E", "F", "I", "N", "W", "D", "UP", "ANN", "B", "C4", "SIM"] +ignore = ["ANN101", "ANN102", "D100", "D104"] + +[tool.ruff.pydocstyle] +convention = "numpy" + +[tool.mypy] +python_version = "3.11" +strict = true +ignore_missing_imports = true + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" diff --git a/ConnectivityMetricsTutorials-main/scripts/generate_quick_versions.py b/ConnectivityMetricsTutorials-main/scripts/generate_quick_versions.py new file mode 100644 index 0000000..0628e93 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/scripts/generate_quick_versions.py @@ -0,0 +1,246 @@ +#!/usr/bin/env python3 +""" +Generate quick versions of tutorial notebooks. + +This script reads tutorial notebooks and generates "quick" versions where +inline function definitions are replaced with imports from src/. + +Usage: + python scripts/generate_quick_versions.py [notebook_path] + python scripts/generate_quick_versions.py --all + +The script looks for cells marked with: + # [QUICK_VERSION: import_statement] + +And replaces the entire cell with the specified import statement. +""" + +import argparse +import json +import re +import sys +from pathlib import Path +from typing import Optional + + +def find_quick_version_marker(source: str) -> Optional[str]: + """ + Find the QUICK_VERSION marker in a cell source. + + Parameters + ---------- + source : str + The source code of a cell. + + Returns + ------- + Optional[str] + The import statement to use, or None if no marker found. + + Examples + -------- + >>> find_quick_version_marker("# [QUICK_VERSION: from src.signals import generate_sine_wave]\\ndef func():") + 'from src.signals import generate_sine_wave' + """ + pattern = r"#\s*\[QUICK_VERSION:\s*(.+?)\]" + match = re.search(pattern, source) + if match: + return match.group(1).strip() + return None + + +def process_cell(cell: dict) -> dict: + """ + Process a single cell, replacing marked cells with imports. + + Parameters + ---------- + cell : dict + A notebook cell dictionary. + + Returns + ------- + dict + The processed cell (modified or unchanged). + """ + if cell.get("cell_type") != "code": + return cell + + source = cell.get("source", []) + if isinstance(source, list): + source_str = "".join(source) + else: + source_str = source + + import_statement = find_quick_version_marker(source_str) + + if import_statement: + # Replace cell content with just the import + new_cell = cell.copy() + new_cell["source"] = [f"{import_statement}\n"] + new_cell["outputs"] = [] + new_cell["execution_count"] = None + return new_cell + + return cell + + +def generate_quick_version(notebook_path: Path) -> Path: + """ + Generate a quick version of a tutorial notebook. + + Parameters + ---------- + notebook_path : Path + Path to the tutorial notebook. + + Returns + ------- + Path + Path to the generated quick notebook. + """ + # Read the notebook + with open(notebook_path, "r", encoding="utf-8") as f: + notebook = json.load(f) + + # Process all cells + processed_cells = [process_cell(cell) for cell in notebook.get("cells", [])] + + # Create the quick version notebook + quick_notebook = notebook.copy() + quick_notebook["cells"] = processed_cells + + # Update title in first markdown cell if present + if processed_cells and processed_cells[0].get("cell_type") == "markdown": + first_cell = processed_cells[0] + source = first_cell.get("source", []) + if isinstance(source, list): + source_str = "".join(source) + else: + source_str = source + + # Add "(Quick Version)" to the title if not already there + if "# " in source_str and "(Quick Version)" not in source_str: + updated_source = re.sub( + r"^(# .+?)(\n|$)", + r"\1 (Quick Version)\2", + source_str, + count=1 + ) + first_cell["source"] = [updated_source] + + # Generate output path + stem = notebook_path.stem + quick_path = notebook_path.parent / f"{stem}_quick.ipynb" + + # Write the quick version + with open(quick_path, "w", encoding="utf-8") as f: + json.dump(quick_notebook, f, indent=1, ensure_ascii=False) + + return quick_path + + +def find_all_notebooks(base_path: Path) -> list[Path]: + """ + Find all tutorial notebooks (excluding quick versions). + + Parameters + ---------- + base_path : Path + Base path to search from. + + Returns + ------- + list[Path] + List of notebook paths. + """ + notebooks = [] + for notebook_path in base_path.rglob("*.ipynb"): + # Skip quick versions, checkpoints, and hidden files + if "_quick" in notebook_path.stem: + continue + if ".ipynb_checkpoints" in str(notebook_path): + continue + if notebook_path.name.startswith("."): + continue + notebooks.append(notebook_path) + return sorted(notebooks) + + +def main() -> int: + """Main entry point.""" + parser = argparse.ArgumentParser( + description="Generate quick versions of tutorial notebooks." + ) + parser.add_argument( + "notebook", + nargs="?", + help="Path to a specific notebook to process" + ) + parser.add_argument( + "--all", + action="store_true", + help="Process all notebooks in the notebooks/ directory" + ) + parser.add_argument( + "--dry-run", + action="store_true", + help="Show what would be done without writing files" + ) + + args = parser.parse_args() + + # Determine project root + script_path = Path(__file__).resolve() + project_root = script_path.parent.parent + + if args.all: + notebooks_dir = project_root / "notebooks" + if not notebooks_dir.exists(): + print(f"Error: notebooks directory not found at {notebooks_dir}") + return 1 + notebooks = find_all_notebooks(notebooks_dir) + elif args.notebook: + notebook_path = Path(args.notebook).resolve() + if not notebook_path.exists(): + print(f"Error: notebook not found at {notebook_path}") + return 1 + notebooks = [notebook_path] + else: + parser.print_help() + return 1 + + print(f"Found {len(notebooks)} notebook(s) to process\n") + + for notebook_path in notebooks: + try: + relative_path = notebook_path.relative_to(project_root) + except ValueError: + relative_path = notebook_path.name + print(f"Processing: {relative_path}") + + if args.dry_run: + quick_path = notebook_path.parent / f"{notebook_path.stem}_quick.ipynb" + try: + display_path = quick_path.relative_to(project_root) + except ValueError: + display_path = quick_path.name + print(f" Would create: {display_path}") + else: + try: + quick_path = generate_quick_version(notebook_path) + try: + display_path = quick_path.relative_to(project_root) + except ValueError: + display_path = quick_path.name + print(f" Created: {display_path}") + except Exception as e: + print(f" Error: {e}") + continue + + print("\nDone!") + return 0 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/ConnectivityMetricsTutorials-main/src/__init__.py b/ConnectivityMetricsTutorials-main/src/__init__.py new file mode 100644 index 0000000..ff167cd --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/__init__.py @@ -0,0 +1,26 @@ +""" +Hyperscanning Workshop - Reusable Functions Module. + +This package contains utility functions for signal processing, +spectral analysis, filtering, and visualization used throughout +the workshop notebooks. + +Note: This file is kept minimal to avoid circular import issues. +Import directly from submodules when needed in notebooks. +""" + +__all__ = [ + "signals", + "spectral", + "filtering", + "constants", + "colors", + "plotting", + "hilbert", + "phase", + "envelope", + "wavelets", + "volume_conduction", + "connectivity", + "statistics", +] diff --git a/ConnectivityMetricsTutorials-main/src/coherence.py b/ConnectivityMetricsTutorials-main/src/coherence.py new file mode 100644 index 0000000..5504e07 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/coherence.py @@ -0,0 +1,1139 @@ +"""Spectral coherence analysis functions. + +This module provides functions for computing coherence (correlation in the +frequency domain) between signals, including cross-spectral density, band +coherence, coherence matrices, and hyperscanning-specific analyses. +""" + +import numpy as np +from numpy.typing import NDArray +from scipy.signal import csd, welch, coherence +from typing import Any + + +# ============================================================================= +# Core Coherence Functions +# ============================================================================= + + +def compute_cross_spectrum( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + nperseg: int = 256, + noverlap: int | None = None, + window: str = "hann", +) -> tuple[NDArray[np.floating], NDArray[np.complexfloating]]: + """Compute cross-spectral density using Welch's method. + + The cross-spectral density (CSD) measures the co-variation of two signals + in the frequency domain. It is complex-valued, containing both magnitude + (strength of relationship) and phase (timing relationship) information. + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal (same length as x). + fs : float + Sampling frequency in Hz. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + noverlap : int | None, optional + Number of points to overlap between segments. + If None, defaults to nperseg // 2. + window : str, optional + Window function to apply. Default is "hann". + + Returns + ------- + frequencies : NDArray[np.floating] + Array of frequency values in Hz. + csd_values : NDArray[np.complexfloating] + Complex cross-spectral density values. + + Examples + -------- + >>> t = np.linspace(0, 2, 2000, endpoint=False) + >>> x = np.sin(2 * np.pi * 10 * t) + >>> y = np.sin(2 * np.pi * 10 * t + np.pi / 4) + >>> freqs, csd_vals = compute_cross_spectrum(x, y, fs=1000) + """ + if noverlap is None: + noverlap = nperseg // 2 + + frequencies, csd_values = csd( + x, y, + fs=fs, + nperseg=nperseg, + noverlap=noverlap, + window=window, + ) + + return frequencies, csd_values + + +def compute_coherence( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + nperseg: int = 256, + noverlap: int | None = None, + window: str = "hann", +) -> tuple[NDArray[np.floating], NDArray[np.floating]]: + """Compute magnitude-squared coherence using Welch's method. + + Coherence measures the linear correlation between two signals at each + frequency. It is defined as: + + C_xy(f) = |S_xy(f)|² / (S_xx(f) × S_yy(f)) + + where S_xy is the cross-spectral density and S_xx, S_yy are the power + spectral densities. + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal (same length as x). + fs : float + Sampling frequency in Hz. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + noverlap : int | None, optional + Number of points to overlap between segments. + If None, defaults to nperseg // 2. + window : str, optional + Window function to apply. Default is "hann". + + Returns + ------- + frequencies : NDArray[np.floating] + Array of frequency values in Hz. + coherence_values : NDArray[np.floating] + Magnitude-squared coherence values (0 to 1). + + Notes + ----- + - Coherence = 1 indicates perfect linear relationship at that frequency. + - Coherence = 0 indicates no linear relationship. + - Coherence is independent of phase (phase shift doesn't affect it). + - Volume conduction can create spuriously high coherence at zero lag. + + Examples + -------- + >>> t = np.linspace(0, 2, 2000, endpoint=False) + >>> x = np.sin(2 * np.pi * 10 * t) + 0.5 * np.random.randn(2000) + >>> y = np.sin(2 * np.pi * 10 * t) + 0.5 * np.random.randn(2000) + >>> freqs, coh = compute_coherence(x, y, fs=1000) + """ + if noverlap is None: + noverlap = nperseg // 2 + + frequencies, coherence_values = coherence( + x, y, + fs=fs, + nperseg=nperseg, + noverlap=noverlap, + window=window, + ) + + return frequencies, coherence_values + + +def generate_coherent_signals( + n_samples: int, + fs: float, + frequency: float, + coherence_level: float, + snr_db: float = 20.0, + seed: int | None = None, +) -> tuple[NDArray[np.floating], NDArray[np.floating]]: + """Generate two signals with specified coherence at a given frequency. + + Creates a pair of signals where the coherence at the target frequency + can be controlled. The signals share a common sinusoidal component, + and independent noise is added to each to achieve the desired coherence. + + Parameters + ---------- + n_samples : int + Number of samples to generate. + fs : float + Sampling frequency in Hz. + frequency : float + Target frequency in Hz for the coherent component. + coherence_level : float + Desired coherence level (0 to 1). Higher values mean more shared + signal relative to independent noise. + snr_db : float, optional + Signal-to-noise ratio in dB for the baseline noise. Default is 20.0. + seed : int | None, optional + Random seed for reproducibility. + + Returns + ------- + x : NDArray[np.floating] + First signal. + y : NDArray[np.floating] + Second signal with specified coherence to x at target frequency. + + Examples + -------- + >>> x, y = generate_coherent_signals( + ... n_samples=2000, fs=500, frequency=10, coherence_level=0.8 + ... ) + >>> freqs, coh = compute_coherence(x, y, fs=500) + >>> # Coherence at 10 Hz should be approximately 0.8 + """ + if seed is not None: + np.random.seed(seed) + + t = np.arange(n_samples) / fs + + # Shared sinusoidal component + shared_signal = np.sin(2 * np.pi * frequency * t) + + # Convert SNR to linear scale + snr_linear = 10 ** (snr_db / 20) + + # Scale factors to achieve desired coherence + # Coherence ≈ shared_power / (shared_power + noise_power) + # With equal noise added to both signals + shared_power = coherence_level + noise_power = 1 - coherence_level + + # Scale shared component + shared_scale = np.sqrt(shared_power) + noise_scale = np.sqrt(noise_power) / snr_linear + + # Generate independent noise for each signal + noise_x = np.random.randn(n_samples) * noise_scale + noise_y = np.random.randn(n_samples) * noise_scale + + # Combine shared and independent components + x = shared_scale * shared_signal + noise_x + y = shared_scale * shared_signal + noise_y + + return x, y + + +# ============================================================================= +# Band Coherence Functions +# ============================================================================= + + +def compute_band_coherence( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + band: tuple[float, float], + nperseg: int = 256, + method: str = "mean", +) -> float: + """Compute average coherence in a specified frequency band. + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal. + fs : float + Sampling frequency in Hz. + band : tuple[float, float] + Frequency band as (low_freq, high_freq) in Hz. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + method : str, optional + Averaging method: "mean" for simple average, "weighted" for + power-weighted average. Default is "mean". + + Returns + ------- + float + Average coherence in the specified band. + + Examples + -------- + >>> x, y = generate_coherent_signals(2000, 500, 10, 0.8) + >>> alpha_coh = compute_band_coherence(x, y, fs=500, band=(8, 13)) + """ + frequencies, coh = compute_coherence(x, y, fs, nperseg=nperseg) + + # Select frequencies in band + band_mask = (frequencies >= band[0]) & (frequencies <= band[1]) + coh_band = coh[band_mask] + + if len(coh_band) == 0: + return 0.0 + + if method == "mean": + return float(np.mean(coh_band)) + elif method == "weighted": + # Weight by combined power + freqs_x, psd_x = welch(x, fs=fs, nperseg=nperseg) + freqs_y, psd_y = welch(y, fs=fs, nperseg=nperseg) + psd_combined = (psd_x[band_mask] + psd_y[band_mask]) / 2 + if np.sum(psd_combined) == 0: + return float(np.mean(coh_band)) + return float(np.average(coh_band, weights=psd_combined)) + else: + raise ValueError(f"Unknown method: {method}. Use 'mean' or 'weighted'.") + + +def compute_all_band_coherence( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + bands: dict[str, tuple[float, float]] | None = None, + nperseg: int = 256, +) -> dict[str, float]: + """Compute coherence for all standard EEG frequency bands. + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal. + fs : float + Sampling frequency in Hz. + bands : dict[str, tuple[float, float]] | None, optional + Dictionary mapping band names to (low, high) frequency tuples. + If None, uses standard EEG bands. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + + Returns + ------- + dict[str, float] + Dictionary mapping band names to coherence values. + + Examples + -------- + >>> x, y = generate_coherent_signals(2000, 500, 10, 0.8) + >>> band_coh = compute_all_band_coherence(x, y, fs=500) + >>> print(f"Alpha coherence: {band_coh['alpha']:.2f}") + """ + if bands is None: + bands = { + "delta": (1.0, 4.0), + "theta": (4.0, 8.0), + "alpha": (8.0, 13.0), + "beta": (13.0, 30.0), + "gamma": (30.0, 100.0), + } + + result = {} + for band_name, band_range in bands.items(): + result[band_name] = compute_band_coherence(x, y, fs, band_range, nperseg) + + return result + + +# ============================================================================= +# Coherence Matrix Functions +# ============================================================================= + + +def compute_coherence_matrix( + data: NDArray[np.floating], + fs: float, + band: tuple[float, float] | None = None, + nperseg: int = 256, +) -> NDArray[np.floating]: + """Compute coherence matrix for all channel pairs. + + Parameters + ---------- + data : NDArray[np.floating] + Multi-channel data array of shape (n_channels, n_samples). + fs : float + Sampling frequency in Hz. + band : tuple[float, float] | None, optional + If provided, returns band-averaged coherence matrix. + If None, returns coherence at all frequencies (3D array). + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + + Returns + ------- + NDArray[np.floating] + If band is provided: (n_channels, n_channels) coherence matrix. + If band is None: (n_channels, n_channels, n_freqs) coherence array. + + Notes + ----- + - The matrix is symmetric: C_xy = C_yx. + - Diagonal elements are 1 (self-coherence). + + Examples + -------- + >>> data = np.random.randn(8, 2000) + >>> coh_matrix = compute_coherence_matrix(data, fs=500, band=(8, 13)) + >>> print(coh_matrix.shape) # (8, 8) + """ + n_channels = data.shape[0] + + # First, compute one coherence to get frequency axis + freqs, _ = compute_coherence(data[0], data[1], fs, nperseg=nperseg) + n_freqs = len(freqs) + + if band is not None: + # Return 2D matrix of band-averaged coherence + coh_matrix = np.ones((n_channels, n_channels)) + + for i in range(n_channels): + for j in range(i + 1, n_channels): + coh_value = compute_band_coherence( + data[i], data[j], fs, band, nperseg + ) + coh_matrix[i, j] = coh_value + coh_matrix[j, i] = coh_value + + return coh_matrix + else: + # Return 3D array with full spectrum + coh_matrix = np.ones((n_channels, n_channels, n_freqs)) + + for i in range(n_channels): + for j in range(i + 1, n_channels): + _, coh = compute_coherence(data[i], data[j], fs, nperseg=nperseg) + coh_matrix[i, j, :] = coh + coh_matrix[j, i, :] = coh + + return coh_matrix + + +def compute_coherence_matrix_bands( + data: NDArray[np.floating], + fs: float, + bands: dict[str, tuple[float, float]] | None = None, + nperseg: int = 256, +) -> dict[str, NDArray[np.floating]]: + """Compute coherence matrices for all frequency bands. + + Parameters + ---------- + data : NDArray[np.floating] + Multi-channel data array of shape (n_channels, n_samples). + fs : float + Sampling frequency in Hz. + bands : dict[str, tuple[float, float]] | None, optional + Dictionary mapping band names to (low, high) frequency tuples. + If None, uses standard EEG bands. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + + Returns + ------- + dict[str, NDArray[np.floating]] + Dictionary mapping band names to coherence matrices. + + Examples + -------- + >>> data = np.random.randn(8, 2000) + >>> band_matrices = compute_coherence_matrix_bands(data, fs=500) + >>> alpha_matrix = band_matrices["alpha"] + """ + if bands is None: + bands = { + "delta": (1.0, 4.0), + "theta": (4.0, 8.0), + "alpha": (8.0, 13.0), + "beta": (13.0, 30.0), + "gamma": (30.0, 100.0), + } + + result = {} + for band_name, band_range in bands.items(): + result[band_name] = compute_coherence_matrix(data, fs, band_range, nperseg) + + return result + + +# ============================================================================= +# Hyperscanning Coherence Functions +# ============================================================================= + + +def compute_coherence_hyperscanning( + data_p1: NDArray[np.floating], + data_p2: NDArray[np.floating], + fs: float, + band: tuple[float, float], + nperseg: int = 256, +) -> dict[str, NDArray[np.floating]]: + """Compute coherence matrices for hyperscanning analysis. + + Computes within-participant and between-participant coherence matrices + for dual-brain (hyperscanning) data. + + Parameters + ---------- + data_p1 : NDArray[np.floating] + Participant 1 data of shape (n_channels_p1, n_samples). + data_p2 : NDArray[np.floating] + Participant 2 data of shape (n_channels_p2, n_samples). + fs : float + Sampling frequency in Hz. + band : tuple[float, float] + Frequency band as (low_freq, high_freq) in Hz. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + + Returns + ------- + dict[str, NDArray[np.floating]] + Dictionary containing: + - "within_p1": Coherence matrix within participant 1 + - "within_p2": Coherence matrix within participant 2 + - "between": Between-participants coherence matrix (n_ch_p1 × n_ch_p2) + - "full": Full combined matrix (n_total × n_total) + + Examples + -------- + >>> data_p1 = np.random.randn(6, 2000) + >>> data_p2 = np.random.randn(6, 2000) + >>> coh = compute_coherence_hyperscanning(data_p1, data_p2, fs=500, band=(8, 13)) + >>> print(coh["between"].shape) # (6, 6) + """ + n_ch_p1 = data_p1.shape[0] + n_ch_p2 = data_p2.shape[0] + n_total = n_ch_p1 + n_ch_p2 + + # Within-participant coherence + within_p1 = compute_coherence_matrix(data_p1, fs, band, nperseg) + within_p2 = compute_coherence_matrix(data_p2, fs, band, nperseg) + + # Between-participants coherence + between = np.zeros((n_ch_p1, n_ch_p2)) + for i in range(n_ch_p1): + for j in range(n_ch_p2): + between[i, j] = compute_band_coherence( + data_p1[i], data_p2[j], fs, band, nperseg + ) + + # Construct full matrix + full = np.ones((n_total, n_total)) + full[:n_ch_p1, :n_ch_p1] = within_p1 + full[n_ch_p1:, n_ch_p1:] = within_p2 + full[:n_ch_p1, n_ch_p1:] = between + full[n_ch_p1:, :n_ch_p1] = between.T + + return { + "within_p1": within_p1, + "within_p2": within_p2, + "between": between, + "full": full, + } + + +def compute_global_coherence_hyperscanning( + coherence_dict: dict[str, NDArray[np.floating]], +) -> dict[str, float]: + """Compute summary statistics for hyperscanning coherence. + + Parameters + ---------- + coherence_dict : dict[str, NDArray[np.floating]] + Dictionary from compute_coherence_hyperscanning containing + "within_p1", "within_p2", and "between" matrices. + + Returns + ------- + dict[str, float] + Dictionary containing: + - "mean_within_p1": Mean within-P1 coherence (excluding diagonal) + - "mean_within_p2": Mean within-P2 coherence (excluding diagonal) + - "mean_between": Mean between-participants coherence + - "ratio_between_within": Ratio of between to average within coherence + + Examples + -------- + >>> coh = compute_coherence_hyperscanning(data_p1, data_p2, fs=500, band=(8, 13)) + >>> stats = compute_global_coherence_hyperscanning(coh) + >>> print(f"Between/within ratio: {stats['ratio_between_within']:.2f}") + """ + within_p1 = coherence_dict["within_p1"] + within_p2 = coherence_dict["within_p2"] + between = coherence_dict["between"] + + # Mean within-P1 (excluding diagonal) + n_p1 = within_p1.shape[0] + mask_p1 = ~np.eye(n_p1, dtype=bool) + mean_within_p1 = float(np.mean(within_p1[mask_p1])) + + # Mean within-P2 (excluding diagonal) + n_p2 = within_p2.shape[0] + mask_p2 = ~np.eye(n_p2, dtype=bool) + mean_within_p2 = float(np.mean(within_p2[mask_p2])) + + # Mean between + mean_between = float(np.mean(between)) + + # Ratio + avg_within = (mean_within_p1 + mean_within_p2) / 2 + if avg_within > 0: + ratio = mean_between / avg_within + else: + ratio = 0.0 + + return { + "mean_within_p1": mean_within_p1, + "mean_within_p2": mean_within_p2, + "mean_between": mean_between, + "ratio_between_within": ratio, + } + + +# ============================================================================= +# Statistical Testing +# ============================================================================= + + +def coherence_significance_threshold( + n_segments: int, + alpha: float = 0.05, +) -> float: + """Compute theoretical significance threshold for coherence. + + For independent signals, coherence has a known distribution that depends + on the number of segments used in Welch's method. This function returns + the critical value above which coherence is statistically significant. + + Parameters + ---------- + n_segments : int + Number of segments used in Welch's method. + alpha : float, optional + Significance level. Default is 0.05. + + Returns + ------- + float + Coherence threshold for significance. + + Notes + ----- + Based on the formula: threshold = 1 - alpha^(1/(n_segments-1)) + + Examples + -------- + >>> threshold = coherence_significance_threshold(n_segments=10, alpha=0.05) + >>> print(f"Coherence above {threshold:.3f} is significant") + """ + if n_segments <= 1: + return 1.0 + + return 1 - alpha ** (1 / (n_segments - 1)) + + +def coherence_surrogate_test( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + band: tuple[float, float], + n_surrogates: int = 500, + nperseg: int = 256, + seed: int | None = None, +) -> dict[str, Any]: + """Test coherence significance using surrogate data. + + Generates a null distribution by shuffling one signal to destroy + the temporal relationship while preserving spectral properties. + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal. + fs : float + Sampling frequency in Hz. + band : tuple[float, float] + Frequency band as (low_freq, high_freq) in Hz. + n_surrogates : int, optional + Number of surrogate permutations. Default is 500. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + seed : int | None, optional + Random seed for reproducibility. + + Returns + ------- + dict[str, Any] + Dictionary containing: + - "observed": Observed band coherence + - "null_mean": Mean of null distribution + - "null_std": Standard deviation of null distribution + - "pvalue": P-value (proportion of surrogates >= observed) + - "threshold_95": 95th percentile of null distribution + + Examples + -------- + >>> x, y = generate_coherent_signals(2000, 500, 10, 0.8, seed=42) + >>> result = coherence_surrogate_test(x, y, fs=500, band=(8, 13), seed=42) + >>> print(f"p = {result['pvalue']:.4f}") + """ + if seed is not None: + np.random.seed(seed) + + # Observed coherence + observed = compute_band_coherence(x, y, fs, band, nperseg) + + # Generate null distribution + null_distribution = np.zeros(n_surrogates) + y_copy = y.copy() + + for i in range(n_surrogates): + # Shuffle y to destroy relationship + np.random.shuffle(y_copy) + null_distribution[i] = compute_band_coherence(x, y_copy, fs, band, nperseg) + + # Statistics + null_mean = float(np.mean(null_distribution)) + null_std = float(np.std(null_distribution)) + pvalue = float(np.mean(null_distribution >= observed)) + threshold_95 = float(np.percentile(null_distribution, 95)) + + return { + "observed": observed, + "null_mean": null_mean, + "null_std": null_std, + "pvalue": pvalue, + "threshold_95": threshold_95, + } + + +# ============================================================================= +# Validation Functions +# ============================================================================= + + +def compare_with_scipy_coherence( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + nperseg: int = 256, +) -> dict[str, Any]: + """Compare our coherence implementation with scipy.signal.coherence. + + Validates that our implementation produces results consistent with + the standard scipy implementation. + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal. + fs : float + Sampling frequency in Hz. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + + Returns + ------- + dict[str, Any] + Dictionary containing: + - "our_coherence": Our coherence values + - "scipy_coherence": Scipy coherence values + - "max_difference": Maximum absolute difference + - "correlation": Correlation between the two + + Examples + -------- + >>> x = np.random.randn(2000) + >>> y = np.random.randn(2000) + >>> result = compare_with_scipy_coherence(x, y, fs=500) + >>> print(f"Max difference: {result['max_difference']:.2e}") + """ + # Our implementation (which wraps scipy, so should match exactly) + freqs_ours, coh_ours = compute_coherence(x, y, fs, nperseg=nperseg) + + # Direct scipy call + freqs_scipy, coh_scipy = coherence(x, y, fs=fs, nperseg=nperseg) + + # Compare + max_diff = float(np.max(np.abs(coh_ours - coh_scipy))) + correlation = float(np.corrcoef(coh_ours, coh_scipy)[0, 1]) + + return { + "our_coherence": coh_ours, + "scipy_coherence": coh_scipy, + "frequencies": freqs_ours, + "max_difference": max_diff, + "correlation": correlation, + } + + +# ============================================================================= +# Imaginary Coherence Functions +# ============================================================================= + + +def compute_imaginary_coherence( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + nperseg: int = 256, + noverlap: int | None = None, + window: str = "hann", +) -> tuple[NDArray[np.floating], NDArray[np.floating]]: + """Compute imaginary coherence between two signals. + + Imaginary coherence uses only the imaginary part of the cross-spectrum, + making it robust to volume conduction artifacts (zero-lag connections). + + Based on Nolte et al. (2004): "Identifying true brain interaction from EEG + data using the imaginary part of coherency." + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal (same length as x). + fs : float + Sampling frequency in Hz. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + noverlap : int | None, optional + Number of points to overlap between segments. + If None, defaults to nperseg // 2. + window : str, optional + Window function to apply. Default is "hann". + + Returns + ------- + frequencies : NDArray[np.floating] + Array of frequency values in Hz. + imcoh : NDArray[np.floating] + Imaginary coherence values (-1 to +1). + Positive: Y leads X. Negative: X leads Y. + + Examples + -------- + >>> t = np.linspace(0, 2, 2000, endpoint=False) + >>> x = np.sin(2 * np.pi * 10 * t) + >>> y = np.sin(2 * np.pi * 10 * t + np.pi / 4) # Phase lag + >>> freqs, imcoh = compute_imaginary_coherence(x, y, fs=1000) + >>> idx_10hz = np.argmin(np.abs(freqs - 10)) + >>> print(f"ImCoh at 10 Hz: {imcoh[idx_10hz]:.3f}") + """ + if noverlap is None: + noverlap = nperseg // 2 + + # Compute cross-spectrum (complex) + freqs, sxy = csd(x, y, fs=fs, nperseg=nperseg, noverlap=noverlap, window=window) + + # Compute power spectra + _, sxx = welch(x, fs=fs, nperseg=nperseg, noverlap=noverlap, window=window) + _, syy = welch(y, fs=fs, nperseg=nperseg, noverlap=noverlap, window=window) + + # Imaginary coherence = Im(Sxy) / sqrt(Sxx * Syy) + imcoh = np.imag(sxy) / np.sqrt(sxx * syy) + + return freqs, imcoh + + +def compute_abs_imaginary_coherence( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + nperseg: int = 256, + noverlap: int | None = None, + window: str = "hann", +) -> tuple[NDArray[np.floating], NDArray[np.floating]]: + """Compute absolute imaginary coherence (magnitude only). + + Same as compute_imaginary_coherence() but returns absolute values, + discarding information about which signal leads. + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal. + fs : float + Sampling frequency in Hz. + nperseg : int, optional + Length of each segment. Default is 256. + noverlap : int | None, optional + Overlap between segments. Default is nperseg // 2. + window : str, optional + Window function. Default is "hann". + + Returns + ------- + frequencies : NDArray[np.floating] + Frequency values in Hz. + abs_imcoh : NDArray[np.floating] + Absolute imaginary coherence (0 to 1). + + Examples + -------- + >>> t = np.linspace(0, 2, 2000, endpoint=False) + >>> x = np.sin(2 * np.pi * 10 * t) + >>> y = np.sin(2 * np.pi * 10 * t + np.pi / 4) + >>> freqs, abs_imcoh = compute_abs_imaginary_coherence(x, y, fs=1000) + """ + freqs, imcoh = compute_imaginary_coherence(x, y, fs, nperseg, noverlap, window) + return freqs, np.abs(imcoh) + + +def compute_band_imaginary_coherence( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + band: tuple[float, float] = (8.0, 13.0), + nperseg: int = 256, + noverlap: int | None = None, + absolute: bool = False, +) -> float: + """Compute imaginary coherence in a specific frequency band. + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal. + fs : float + Sampling frequency in Hz. + band : tuple[float, float], optional + Frequency band (low, high) in Hz. Default is (8, 13) for alpha band. + nperseg : int, optional + Length of each segment. Default is 256. + noverlap : int | None, optional + Overlap between segments. Default is nperseg // 2. + absolute : bool, optional + If True, return absolute value. Default is False. + + Returns + ------- + imcoh_band : float + Mean imaginary coherence in the specified band. + + Examples + -------- + >>> # Alpha band imaginary coherence + >>> imcoh_alpha = compute_band_imaginary_coherence(x, y, fs=500, band=(8, 13)) + """ + freqs, imcoh = compute_imaginary_coherence(x, y, fs, nperseg, noverlap) + + # Select frequency band + band_mask = (freqs >= band[0]) & (freqs <= band[1]) + imcoh_band = np.mean(imcoh[band_mask]) + + if absolute: + return float(np.abs(imcoh_band)) + return float(imcoh_band) + + +def compute_all_band_imaginary_coherence( + x: NDArray[np.floating], + y: NDArray[np.floating], + fs: float, + bands: dict[str, tuple[float, float]] | None = None, + nperseg: int = 256, + noverlap: int | None = None, + absolute: bool = False, +) -> dict[str, float]: + """Compute imaginary coherence for multiple frequency bands. + + Parameters + ---------- + x : NDArray[np.floating] + First input signal. + y : NDArray[np.floating] + Second input signal. + fs : float + Sampling frequency in Hz. + bands : dict[str, tuple[float, float]] | None, optional + Dictionary mapping band names to (low, high) frequency tuples. + If None, uses standard EEG bands. + nperseg : int, optional + Length of each segment. Default is 256. + noverlap : int | None, optional + Overlap between segments. Default is nperseg // 2. + absolute : bool, optional + If True, return absolute values. Default is False. + + Returns + ------- + band_imcoh : dict[str, float] + Imaginary coherence for each band. + + Examples + -------- + >>> bands = {'alpha': (8, 13), 'beta': (13, 30)} + >>> imcoh_bands = compute_all_band_imaginary_coherence(x, y, fs=500, bands=bands) + >>> print(f"Alpha ImCoh: {imcoh_bands['alpha']:.3f}") + """ + if bands is None: + # Default EEG bands + bands = { + "delta": (1.0, 4.0), + "theta": (4.0, 8.0), + "alpha": (8.0, 13.0), + "beta": (13.0, 30.0), + "gamma": (30.0, 100.0), + } + + band_imcoh = {} + for band_name, band_range in bands.items(): + band_imcoh[band_name] = compute_band_imaginary_coherence( + x, y, fs, band=band_range, nperseg=nperseg, noverlap=noverlap, absolute=absolute + ) + + return band_imcoh + + +def compute_imaginary_coherence_matrix( + data: NDArray[np.floating], + fs: float, + band: tuple[float, float] | None = None, + nperseg: int = 256, + noverlap: int | None = None, + absolute: bool = True, +) -> NDArray[np.floating]: + """Compute imaginary coherence connectivity matrix. + + Parameters + ---------- + data : NDArray[np.floating] + Multi-channel data (n_channels, n_samples). + fs : float + Sampling frequency in Hz. + band : tuple[float, float] | None, optional + If provided, compute band-averaged imaginary coherence. + If None, return full spectrum. + nperseg : int, optional + Length of each segment. Default is 256. + noverlap : int | None, optional + Overlap between segments. Default is nperseg // 2. + absolute : bool, optional + If True, return absolute values. Default is True. + + Returns + ------- + matrix : NDArray[np.floating] + Imaginary coherence matrix (n_channels, n_channels). + Diagonal is zero. + + Examples + -------- + >>> # 8-channel data + >>> data = np.random.randn(8, 5000) + >>> imcoh_matrix = compute_imaginary_coherence_matrix(data, fs=500, band=(8, 13)) + >>> print(f"Matrix shape: {imcoh_matrix.shape}") + """ + n_channels = data.shape[0] + matrix = np.zeros((n_channels, n_channels)) + + for i in range(n_channels): + for j in range(i + 1, n_channels): + if band is not None: + imcoh_val = compute_band_imaginary_coherence( + data[i], data[j], fs, band=band, nperseg=nperseg, + noverlap=noverlap, absolute=absolute + ) + else: + _, imcoh = compute_imaginary_coherence( + data[i], data[j], fs, nperseg=nperseg, noverlap=noverlap + ) + imcoh_val = np.mean(np.abs(imcoh)) if absolute else np.mean(imcoh) + + matrix[i, j] = imcoh_val + matrix[j, i] = imcoh_val + + return matrix + + +def compute_imaginary_coherence_hyperscanning( + data_p1: NDArray[np.floating], + data_p2: NDArray[np.floating], + fs: float, + band: tuple[float, float] | None = None, + nperseg: int = 256, + noverlap: int | None = None, + absolute: bool = True, +) -> dict[str, NDArray[np.floating]]: + """Compute imaginary coherence for hyperscanning (two-person) data. + + Returns within-person and between-person connectivity matrices. + + Parameters + ---------- + data_p1 : NDArray[np.floating] + Person 1 data (n_channels_p1, n_samples). + data_p2 : NDArray[np.floating] + Person 2 data (n_channels_p2, n_samples). + fs : float + Sampling frequency in Hz. + band : tuple[float, float] | None, optional + Frequency band for averaging. If None, uses full spectrum. + nperseg : int, optional + Length of each segment. Default is 256. + noverlap : int | None, optional + Overlap between segments. Default is nperseg // 2. + absolute : bool, optional + If True, return absolute values. Default is True. + + Returns + ------- + result : dict[str, NDArray[np.floating]] + Dictionary with keys: + - 'within_p1': Within-person connectivity for P1 + - 'within_p2': Within-person connectivity for P2 + - 'between': Between-person connectivity (n_ch_p1, n_ch_p2) + + Examples + -------- + >>> # 8 channels per person + >>> data_p1 = np.random.randn(8, 10000) + >>> data_p2 = np.random.randn(8, 10000) + >>> result = compute_imaginary_coherence_hyperscanning( + ... data_p1, data_p2, fs=500, band=(8, 13) + ... ) + >>> print(f"Between-person connectivity shape: {result['between'].shape}") + """ + n_ch_p1 = data_p1.shape[0] + n_ch_p2 = data_p2.shape[0] + + # Within-person connectivity + within_p1 = compute_imaginary_coherence_matrix( + data_p1, fs, band=band, nperseg=nperseg, noverlap=noverlap, absolute=absolute + ) + within_p2 = compute_imaginary_coherence_matrix( + data_p2, fs, band=band, nperseg=nperseg, noverlap=noverlap, absolute=absolute + ) + + # Between-person connectivity + between = np.zeros((n_ch_p1, n_ch_p2)) + for i in range(n_ch_p1): + for j in range(n_ch_p2): + if band is not None: + imcoh_val = compute_band_imaginary_coherence( + data_p1[i], data_p2[j], fs, band=band, nperseg=nperseg, + noverlap=noverlap, absolute=absolute + ) + else: + _, imcoh = compute_imaginary_coherence( + data_p1[i], data_p2[j], fs, nperseg=nperseg, noverlap=noverlap + ) + imcoh_val = np.mean(np.abs(imcoh)) if absolute else np.mean(imcoh) + + between[i, j] = imcoh_val + + return { + "within_p1": within_p1, + "within_p2": within_p2, + "between": between, + } diff --git a/ConnectivityMetricsTutorials-main/src/colors.py b/ConnectivityMetricsTutorials-main/src/colors.py new file mode 100644 index 0000000..bb13b97 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/colors.py @@ -0,0 +1,31 @@ +"""Color palette for the Hyperscanning Workshop visualizations.""" + +from typing import Dict + +# Signal colors (soft pastels) +COLORS: Dict[str, str] = { + # Primary signals + "signal_1": "#7EB8DA", # Sky Blue - Subject 1 + "signal_2": "#F4A4B8", # Rose Pink - Subject 2 + "signal_3": "#B8D4A8", # Sage Green - Reference + "signal_4": "#E8C87A", # Golden - Highlight + "signal_5": "#C4A8D4", # Lavender + "signal_6": "#A8D4D0", # Soft Teal + # Connectivity + "low_sync": "#ECF0F1", # Low connectivity + "high_sync": "#9B59B6", # High connectivity + # Diverging (correlations) + "negative": "#E17055", # Negative values + "zero": "#FFFFFF", # Zero + "positive": "#00CEC9", # Positive values + # Frequency bands + "delta": "#6C5B7B", # 1-4 Hz + "theta": "#C06C84", # 4-8 Hz + "alpha": "#F8B500", # 8-13 Hz + "beta": "#00CEC9", # 13-30 Hz + "gamma": "#6DD47E", # 30+ Hz + # Utility + "grid": "#CCCCCC", + "text": "#2C3E50", + "background": "#FFFFFF", +} diff --git a/ConnectivityMetricsTutorials-main/src/connectivity.py b/ConnectivityMetricsTutorials-main/src/connectivity.py new file mode 100644 index 0000000..ffad5f6 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/connectivity.py @@ -0,0 +1,1202 @@ +""" +Connectivity matrix computation and visualization utilities. + +This module provides functions for computing, validating, and visualizing +connectivity matrices for multi-channel EEG and hyperscanning data. + +Functions +--------- +Matrix Operations: + get_n_pairs : Compute number of unique channel pairs + get_pair_indices : Get list of unique pair indices + compute_connectivity_matrix : Compute full connectivity matrix + get_upper_triangle_values : Extract upper triangle values + upper_triangle_to_matrix : Reconstruct matrix from upper triangle + +Region Analysis: + define_channel_groups : Map channels to region groups + compute_region_connectivity : Average connectivity by region + +Hyperscanning: + compute_hyperscanning_connectivity : Compute full hyperscanning analysis + extract_between_participant_matrix : Extract inter-brain block + +Visualization: + plot_connectivity_matrix : Heatmap visualization + plot_circular_connectivity : Network diagram + plot_hyperscanning_matrix : Annotated hyperscanning heatmap + plot_hyperscanning_circular : Two-brain circular plot + +Global Metrics: + compute_global_connectivity : Mean connectivity + compute_connection_density : Proportion above threshold + compute_hyperscanning_ratio : Between/within ratio + +Validation: + validate_connectivity_matrix : Check matrix properties + get_matrix_statistics : Summary statistics +""" + +from typing import Any, Dict, List, Optional, Tuple + +import matplotlib.pyplot as plt +import numpy as np +from numpy.typing import NDArray +from scipy.signal import butter, filtfilt, hilbert + +from src.colors import ( + PRIMARY_BLUE, + PRIMARY_GREEN, + PRIMARY_RED, + SECONDARY_PURPLE, + SUBJECT_1, + SUBJECT_2, +) + + +# ============================================================================= +# Helper Functions +# ============================================================================= + + +def _bandpass_filter( + data: NDArray[np.floating], + lowcut: float, + highcut: float, + fs: float, + order: int = 4 +) -> NDArray[np.floating]: + """ + Apply bandpass filter to data. + + Parameters + ---------- + data : NDArray[np.floating] + Input signal. + lowcut : float + Low cutoff frequency in Hz. + highcut : float + High cutoff frequency in Hz. + fs : float + Sampling frequency in Hz. + order : int, optional + Filter order. Default is 4. + + Returns + ------- + NDArray[np.floating] + Filtered signal. + """ + nyq = 0.5 * fs + low = lowcut / nyq + high = highcut / nyq + b, a = butter(order, [low, high], btype='band') + return filtfilt(b, a, data) + + +def _compute_plv_pair( + signal_1: NDArray[np.floating], + signal_2: NDArray[np.floating] +) -> float: + """ + Compute Phase Locking Value between two signals. + + Parameters + ---------- + signal_1 : NDArray[np.floating] + First signal (should be bandpass filtered). + signal_2 : NDArray[np.floating] + Second signal (should be bandpass filtered). + + Returns + ------- + float + PLV value between 0 and 1. + """ + # Extract phases using Hilbert transform + phase_1 = np.angle(hilbert(signal_1)) + phase_2 = np.angle(hilbert(signal_2)) + + # Compute phase difference + phase_diff = phase_1 - phase_2 + + # PLV = magnitude of mean phase difference vector + plv = np.abs(np.mean(np.exp(1j * phase_diff))) + + return float(plv) + + +# ============================================================================= +# Matrix Operations +# ============================================================================= + + +def get_n_pairs(n_channels: int) -> int: + """ + Compute the number of unique channel pairs. + + Parameters + ---------- + n_channels : int + Number of channels. + + Returns + ------- + int + Number of unique pairs: n(n-1)/2 + + Examples + -------- + >>> get_n_pairs(6) + 15 + >>> get_n_pairs(64) + 2016 + """ + return n_channels * (n_channels - 1) // 2 + + +def get_pair_indices(n_channels: int) -> List[Tuple[int, int]]: + """ + Get list of all unique channel pair indices. + + Parameters + ---------- + n_channels : int + Number of channels. + + Returns + ------- + List[Tuple[int, int]] + List of (i, j) tuples where i < j. + + Examples + -------- + >>> get_pair_indices(3) + [(0, 1), (0, 2), (1, 2)] + """ + pairs = [] + for i in range(n_channels): + for j in range(i + 1, n_channels): + pairs.append((i, j)) + return pairs + + +def compute_connectivity_matrix( + data: NDArray[np.floating], + fs: float, + band: Tuple[float, float], + metric: str = "plv" +) -> NDArray[np.floating]: + """ + Compute connectivity matrix for multi-channel data. + + Parameters + ---------- + data : NDArray[np.floating] + Multi-channel data, shape (n_channels, n_samples). + fs : float + Sampling frequency in Hz. + band : Tuple[float, float] + Frequency band (low, high) in Hz. + metric : str, optional + Connectivity metric. Currently only "plv" supported. Default is "plv". + + Returns + ------- + NDArray[np.floating] + Connectivity matrix, shape (n_channels, n_channels). + Diagonal is NaN. Matrix is symmetric. + + Raises + ------ + ValueError + If unsupported metric is specified. + + Examples + -------- + >>> data = np.random.randn(6, 1000) + >>> matrix = compute_connectivity_matrix(data, fs=256, band=(8, 13)) + >>> matrix.shape + (6, 6) + """ + if metric != "plv": + raise ValueError(f"Unsupported metric: {metric}. Currently only 'plv' supported.") + + n_channels = data.shape[0] + matrix = np.zeros((n_channels, n_channels)) + + # Bandpass filter all channels + data_filtered = np.array([ + _bandpass_filter(ch, band[0], band[1], fs) for ch in data + ]) + + # Compute PLV for all pairs + for i in range(n_channels): + for j in range(i + 1, n_channels): + plv = _compute_plv_pair(data_filtered[i], data_filtered[j]) + matrix[i, j] = plv + matrix[j, i] = plv # Symmetric + + # Diagonal = NaN + np.fill_diagonal(matrix, np.nan) + + return matrix + + +def get_upper_triangle_values( + matrix: NDArray[np.floating], + k: int = 1 +) -> NDArray[np.floating]: + """ + Extract upper triangle values from a matrix. + + Parameters + ---------- + matrix : NDArray[np.floating] + Square matrix, shape (n, n). + k : int, optional + Diagonal offset. k=1 excludes the main diagonal (default). + k=0 includes the diagonal. + + Returns + ------- + NDArray[np.floating] + 1D array of upper triangle values. + + Notes + ----- + For a symmetric matrix, this extracts all unique values. + Number of values = n(n-1)/2 when k=1. + + Examples + -------- + >>> matrix = np.array([[1, 2, 3], [2, 4, 5], [3, 5, 6]]) + >>> get_upper_triangle_values(matrix) + array([2, 3, 5]) + """ + n = matrix.shape[0] + indices = np.triu_indices(n, k=k) + return matrix[indices] + + +def upper_triangle_to_matrix( + values: NDArray[np.floating], + n_channels: int, + fill_diagonal: float = np.nan +) -> NDArray[np.floating]: + """ + Reconstruct symmetric matrix from upper triangle values. + + Parameters + ---------- + values : NDArray[np.floating] + 1D array of upper triangle values. + n_channels : int + Number of channels (matrix will be n_channels × n_channels). + fill_diagonal : float, optional + Value to fill diagonal. Default is NaN. + + Returns + ------- + NDArray[np.floating] + Symmetric matrix, shape (n_channels, n_channels). + + Raises + ------ + ValueError + If number of values doesn't match expected n(n-1)/2. + + Examples + -------- + >>> values = np.array([0.5, 0.3, 0.8]) + >>> matrix = upper_triangle_to_matrix(values, 3) + >>> matrix.shape + (3, 3) + """ + expected_n_values = n_channels * (n_channels - 1) // 2 + if len(values) != expected_n_values: + raise ValueError( + f"Expected {expected_n_values} values for {n_channels} channels, " + f"got {len(values)}" + ) + + # Create empty matrix + matrix = np.zeros((n_channels, n_channels)) + + # Fill upper triangle + indices = np.triu_indices(n_channels, k=1) + matrix[indices] = values + + # Make symmetric + matrix = matrix + matrix.T + + # Fill diagonal + np.fill_diagonal(matrix, fill_diagonal) + + return matrix + + +# ============================================================================= +# Region Analysis +# ============================================================================= + + +def define_channel_groups( + channel_names: List[str], + group_definitions: Dict[str, List[str]] +) -> Dict[str, List[int]]: + """ + Map channel group names to their indices. + + Parameters + ---------- + channel_names : List[str] + List of all channel names. + group_definitions : Dict[str, List[str]] + Mapping of group names to channel names. + e.g., {"frontal": ["F3", "Fz", "F4"], "parietal": ["P3", "Pz", "P4"]} + + Returns + ------- + Dict[str, List[int]] + Mapping of group names to channel indices. + + Raises + ------ + ValueError + If a channel name in group_definitions is not found. + + Examples + -------- + >>> channel_names = ['F3', 'F4', 'P3', 'P4'] + >>> groups = {"frontal": ["F3", "F4"], "parietal": ["P3", "P4"]} + >>> define_channel_groups(channel_names, groups) + {'frontal': [0, 1], 'parietal': [2, 3]} + """ + result = {} + for group_name, channels in group_definitions.items(): + indices = [] + for ch in channels: + if ch not in channel_names: + raise ValueError(f"Channel '{ch}' not found in channel_names") + indices.append(channel_names.index(ch)) + result[group_name] = indices + return result + + +def compute_region_connectivity( + matrix: NDArray[np.floating], + channel_groups: Dict[str, List[int]] +) -> Tuple[NDArray[np.floating], List[str]]: + """ + Compute average connectivity between brain regions. + + Parameters + ---------- + matrix : NDArray[np.floating] + Full connectivity matrix, shape (n_channels, n_channels). + channel_groups : Dict[str, List[int]] + Mapping of group names to channel indices. + + Returns + ------- + Tuple[NDArray[np.floating], List[str]] + - Region connectivity matrix, shape (n_regions, n_regions) + - List of region names + + Notes + ----- + - Diagonal = mean connectivity WITHIN a region + - Off-diagonal = mean connectivity BETWEEN regions + + Examples + -------- + >>> matrix = np.random.rand(6, 6) + >>> groups = {"A": [0, 1], "B": [2, 3], "C": [4, 5]} + >>> region_matrix, names = compute_region_connectivity(matrix, groups) + >>> region_matrix.shape + (3, 3) + """ + region_names = list(channel_groups.keys()) + n_regions = len(region_names) + + region_matrix = np.zeros((n_regions, n_regions)) + + for i, region_i in enumerate(region_names): + for j, region_j in enumerate(region_names): + indices_i = channel_groups[region_i] + indices_j = channel_groups[region_j] + + # Get all pairwise values between these regions + values = [] + for idx_i in indices_i: + for idx_j in indices_j: + if i == j and idx_i == idx_j: + # Skip self-connections within same region + continue + val = matrix[idx_i, idx_j] + if not np.isnan(val): + values.append(val) + + if values: + region_matrix[i, j] = np.mean(values) + else: + region_matrix[i, j] = np.nan + + return region_matrix, region_names + + +# ============================================================================= +# Hyperscanning +# ============================================================================= + + +def compute_hyperscanning_connectivity( + data_p1: NDArray[np.floating], + data_p2: NDArray[np.floating], + fs: float, + band: Tuple[float, float], + metric: str = "plv" +) -> Dict[str, NDArray[np.floating]]: + """ + Compute connectivity matrices for hyperscanning data. + + Parameters + ---------- + data_p1 : NDArray[np.floating] + Participant 1 data, shape (n_channels, n_samples). + data_p2 : NDArray[np.floating] + Participant 2 data, shape (n_channels, n_samples). + fs : float + Sampling frequency in Hz. + band : Tuple[float, float] + Frequency band (low, high) in Hz. + metric : str, optional + Connectivity metric. Default is "plv". + + Returns + ------- + Dict[str, NDArray[np.floating]] + Dictionary with keys: + - "within_p1": (n_ch, n_ch) connectivity within P1 + - "within_p2": (n_ch, n_ch) connectivity within P2 + - "between": (n_ch, n_ch) connectivity P1→P2 + - "full": (2*n_ch, 2*n_ch) complete hyperscanning matrix + + Raises + ------ + ValueError + If participants have different numbers of channels. + + Examples + -------- + >>> data_p1 = np.random.randn(4, 1000) + >>> data_p2 = np.random.randn(4, 1000) + >>> results = compute_hyperscanning_connectivity(data_p1, data_p2, 256, (8, 13)) + >>> results['full'].shape + (8, 8) + """ + n_ch_p1 = data_p1.shape[0] + n_ch_p2 = data_p2.shape[0] + + if n_ch_p1 != n_ch_p2: + raise ValueError( + f"Both participants must have same number of channels. " + f"Got {n_ch_p1} and {n_ch_p2}." + ) + + n_ch = n_ch_p1 + + # Compute within-participant connectivity + within_p1 = compute_connectivity_matrix(data_p1, fs, band, metric) + within_p2 = compute_connectivity_matrix(data_p2, fs, band, metric) + + # Compute between-participant connectivity + # Filter all data first + data_p1_filt = np.array([ + _bandpass_filter(ch, band[0], band[1], fs) for ch in data_p1 + ]) + data_p2_filt = np.array([ + _bandpass_filter(ch, band[0], band[1], fs) for ch in data_p2 + ]) + + between = np.zeros((n_ch, n_ch)) + for i in range(n_ch): + for j in range(n_ch): + between[i, j] = _compute_plv_pair(data_p1_filt[i], data_p2_filt[j]) + + # Build full matrix + n_total = 2 * n_ch + full = np.zeros((n_total, n_total)) + + # Fill quadrants + full[:n_ch, :n_ch] = within_p1 # Top-left + full[n_ch:, n_ch:] = within_p2 # Bottom-right + full[:n_ch, n_ch:] = between # Top-right + full[n_ch:, :n_ch] = between.T # Bottom-left + + return { + "within_p1": within_p1, + "within_p2": within_p2, + "between": between, + "full": full + } + + +def extract_between_participant_matrix( + full_matrix: NDArray[np.floating], + n_channels_per_participant: int +) -> NDArray[np.floating]: + """ + Extract the between-participant block from a full hyperscanning matrix. + + Parameters + ---------- + full_matrix : NDArray[np.floating] + Full hyperscanning matrix, shape (2n, 2n). + n_channels_per_participant : int + Number of channels per participant. + + Returns + ------- + NDArray[np.floating] + Between-participant matrix, shape (n, n). + Rows = P1 channels, Columns = P2 channels. + + Examples + -------- + >>> full = np.random.rand(8, 8) + >>> between = extract_between_participant_matrix(full, 4) + >>> between.shape + (4, 4) + """ + n = n_channels_per_participant + return full_matrix[:n, n:].copy() + + +# ============================================================================= +# Visualization +# ============================================================================= + + +def plot_connectivity_matrix( + matrix: NDArray[np.floating], + channel_names: Optional[List[str]] = None, + ax: Optional[plt.Axes] = None, + cmap: str = "viridis", + vmin: Optional[float] = None, + vmax: Optional[float] = None, + mask_diagonal: bool = True, + title: Optional[str] = None, + show_values: bool = False +) -> plt.Axes: + """ + Plot connectivity matrix as heatmap. + + Parameters + ---------- + matrix : NDArray[np.floating] + Connectivity matrix, shape (n, n). + channel_names : Optional[List[str]], optional + Channel labels. Default is None (uses indices). + ax : Optional[plt.Axes], optional + Matplotlib axes. If None, creates new figure. + cmap : str, optional + Colormap. Default is "viridis". + vmin : Optional[float], optional + Minimum value for colormap. Default is None (auto). + vmax : Optional[float], optional + Maximum value for colormap. Default is None (auto). + mask_diagonal : bool, optional + Whether to mask diagonal values. Default is True. + title : Optional[str], optional + Plot title. Default is None. + show_values : bool, optional + Whether to show values in cells. Default is False. + + Returns + ------- + plt.Axes + The matplotlib axes with the plot. + """ + n = matrix.shape[0] + + if ax is None: + fig, ax = plt.subplots(figsize=(8, 7)) + + if channel_names is None: + channel_names = [str(i) for i in range(n)] + + # Create masked array for diagonal if needed + if mask_diagonal: + plot_matrix = np.ma.masked_where(np.eye(n, dtype=bool), matrix) + else: + plot_matrix = matrix + + im = ax.imshow(plot_matrix, cmap=cmap, vmin=vmin, vmax=vmax) + + ax.set_xticks(range(n)) + ax.set_yticks(range(n)) + ax.set_xticklabels(channel_names) + ax.set_yticklabels(channel_names) + + plt.colorbar(im, ax=ax, shrink=0.8) + + if show_values: + for i in range(n): + for j in range(n): + if not (mask_diagonal and i == j): + val = matrix[i, j] + if not np.isnan(val): + color = 'white' if val > 0.5 else 'black' + ax.text(j, i, f'{val:.2f}', ha='center', va='center', + fontsize=8, color=color) + + if title: + ax.set_title(title, fontsize=13, fontweight='bold') + + return ax + + +def plot_circular_connectivity( + matrix: NDArray[np.floating], + channel_names: List[str], + threshold: Optional[float] = None, + ax: Optional[plt.Axes] = None, + linewidth_scale: float = 3.0, + node_colors: Optional[List[str]] = None, + title: Optional[str] = None +) -> plt.Axes: + """ + Plot connectivity as a circular graph. + + Parameters + ---------- + matrix : NDArray[np.floating] + Connectivity matrix, shape (n_channels, n_channels). + channel_names : List[str] + Channel labels. + threshold : Optional[float], optional + Only highlight connections above this value. Default is None. + ax : Optional[plt.Axes], optional + Matplotlib polar axes. If None, creates new figure. + linewidth_scale : float, optional + Scale factor for line width. Default is 3.0. + node_colors : Optional[List[str]], optional + Colors for each node. Default is None (uses primary blue). + title : Optional[str], optional + Plot title. Default is None. + + Returns + ------- + plt.Axes + The matplotlib axes with the plot. + """ + n_channels = len(channel_names) + + if ax is None: + fig, ax = plt.subplots(figsize=(10, 10), subplot_kw={'projection': 'polar'}) + + if node_colors is None: + node_colors = [PRIMARY_BLUE] * n_channels + + # Calculate node positions (evenly spaced around circle) + angles = np.linspace(0, 2 * np.pi, n_channels, endpoint=False) + + # Plot nodes + for i, (angle, name, color) in enumerate(zip(angles, channel_names, node_colors)): + ax.scatter(angle, 1, s=300, c=color, zorder=5, edgecolors='white', linewidths=2) + ax.text(angle, 1.15, name, ha='center', va='center', fontsize=11, fontweight='bold') + + # Plot connections (two passes: weak in grey, strong in color) + for i in range(n_channels): + for j in range(i + 1, n_channels): + value = matrix[i, j] + if np.isnan(value): + continue + + # Draw arc between nodes + angle_i, angle_j = angles[i], angles[j] + + # Create arc using bezier-like curve + n_points = 50 + t_vals = np.linspace(0, 1, n_points) + + # Control point at center (r=0) + r_vals = 1 - 0.5 * np.sin(np.pi * t_vals) # Curve inward + angle_vals = angle_i + t_vals * (angle_j - angle_i) + + # Adjust for shortest path + if abs(angle_j - angle_i) > np.pi: + if angle_j > angle_i: + angle_vals = angle_i + t_vals * (angle_j - 2*np.pi - angle_i) + else: + angle_vals = angle_i + t_vals * (angle_j + 2*np.pi - angle_i) + + # Determine if connection is strong (above threshold) + is_strong = threshold is None or value >= threshold + + if is_strong: + # Strong connections: colored with variable width/alpha + lw = value * linewidth_scale + alpha = 0.3 + 0.7 * value + color = SECONDARY_PURPLE + zorder = 2 + else: + # Weak connections: light grey, thin, subtle + lw = 0.8 + alpha = 0.3 + color = '#CCCCCC' + zorder = 1 + + ax.plot(angle_vals, r_vals, color=color, + linewidth=lw, alpha=alpha, zorder=zorder) + + # Clean up polar plot + ax.set_ylim(0, 1.3) + ax.set_yticks([]) + ax.set_xticks([]) + ax.spines['polar'].set_visible(False) + + if title: + ax.set_title(title, fontsize=13, fontweight='bold', pad=20) + + return ax + + +def plot_hyperscanning_matrix( + full_matrix: NDArray[np.floating], + channel_names_p1: List[str], + channel_names_p2: List[str], + ax: Optional[plt.Axes] = None, + highlight_between: bool = True, + cmap: str = 'viridis', + title: Optional[str] = None +) -> plt.Axes: + """ + Plot full hyperscanning matrix with quadrant annotations. + + Parameters + ---------- + full_matrix : NDArray[np.floating] + Full hyperscanning matrix, shape (2n, 2n). + channel_names_p1 : List[str] + Channel names for Participant 1. + channel_names_p2 : List[str] + Channel names for Participant 2. + ax : Optional[plt.Axes], optional + Matplotlib axes. If None, creates new figure. + highlight_between : bool, optional + Whether to highlight the between-participant block. Default True. + cmap : str, optional + Colormap. Default is 'viridis'. + title : Optional[str], optional + Plot title. + + Returns + ------- + plt.Axes + The matplotlib axes with the plot. + """ + n_ch = len(channel_names_p1) + + if ax is None: + fig, ax = plt.subplots(figsize=(10, 10)) + + im = ax.imshow(full_matrix, cmap=cmap, vmin=0, vmax=1) + + # Add dividing lines + ax.axhline(n_ch - 0.5, color='white', linewidth=2) + ax.axvline(n_ch - 0.5, color='white', linewidth=2) + + # Highlight between block + if highlight_between: + rect = plt.Rectangle( + (n_ch - 0.5, -0.5), n_ch, n_ch, + fill=False, edgecolor=PRIMARY_GREEN, linewidth=3, linestyle='--' + ) + ax.add_patch(rect) + + # Labels + all_labels = ([f'P1-{ch}' for ch in channel_names_p1] + + [f'P2-{ch}' for ch in channel_names_p2]) + ax.set_xticks(range(2 * n_ch)) + ax.set_yticks(range(2 * n_ch)) + ax.set_xticklabels(all_labels, rotation=45, ha='right') + ax.set_yticklabels(all_labels) + + # Color labels by participant + for i, label in enumerate(ax.get_xticklabels()): + label.set_color(SUBJECT_1 if i < n_ch else SUBJECT_2) + for i, label in enumerate(ax.get_yticklabels()): + label.set_color(SUBJECT_1 if i < n_ch else SUBJECT_2) + + plt.colorbar(im, ax=ax, shrink=0.8, label='PLV') + + if title: + ax.set_title(title, fontsize=14, fontweight='bold') + + return ax + + +def plot_hyperscanning_circular( + between_matrix: NDArray[np.floating], + channel_names_p1: List[str], + channel_names_p2: List[str], + threshold: Optional[float] = None, + ax: Optional[plt.Axes] = None, + linewidth_scale: float = 3.0, + title: Optional[str] = None +) -> plt.Axes: + """ + Circular plot for hyperscanning with P1 on left, P2 on right. + + Parameters + ---------- + between_matrix : NDArray[np.floating] + Between-participant matrix, shape (n, n). + Rows = P1 channels, Columns = P2 channels. + channel_names_p1 : List[str] + Channel names for Participant 1. + channel_names_p2 : List[str] + Channel names for Participant 2. + threshold : Optional[float], optional + Only highlight connections above this value. Default None. + ax : Optional[plt.Axes], optional + Polar axes. If None, creates new figure. + linewidth_scale : float, optional + Scale factor for line width. Default 3.0. + title : Optional[str], optional + Plot title. + + Returns + ------- + plt.Axes + The matplotlib polar axes with the plot. + """ + n_ch = len(channel_names_p1) + + if ax is None: + fig, ax = plt.subplots(figsize=(12, 10), subplot_kw={'projection': 'polar'}) + + # Position P1 on left side, P2 on right side + angles_p1 = np.linspace(np.pi * 0.7, np.pi * 1.3, n_ch) + angles_p2 = np.linspace(-np.pi * 0.3, np.pi * 0.3, n_ch) + + # Plot P1 nodes (left side) + for i, (angle, name) in enumerate(zip(angles_p1, channel_names_p1)): + ax.scatter(angle, 1, s=400, c=SUBJECT_1, zorder=5, + edgecolors='white', linewidths=2) + ax.text(angle, 1.2, f'P1-{name}', ha='center', va='center', + fontsize=10, fontweight='bold', color=SUBJECT_1) + + # Plot P2 nodes (right side) + for i, (angle, name) in enumerate(zip(angles_p2, channel_names_p2)): + ax.scatter(angle, 1, s=400, c=SUBJECT_2, zorder=5, + edgecolors='white', linewidths=2) + ax.text(angle, 1.2, f'P2-{name}', ha='center', va='center', + fontsize=10, fontweight='bold', color=SUBJECT_2) + + # Plot connections between P1 and P2 + for i in range(n_ch): + for j in range(n_ch): + value = between_matrix[i, j] + if np.isnan(value): + continue + + angle_i = angles_p1[i] + angle_j = angles_p2[j] + + # Create arc + n_points = 50 + t_vals = np.linspace(0, 1, n_points) + r_vals = 1 - 0.4 * np.sin(np.pi * t_vals) + angle_vals = angle_i + t_vals * (angle_j - angle_i) + + # Determine if strong connection + is_strong = threshold is None or value >= threshold + + if is_strong: + lw = value * linewidth_scale + alpha = 0.4 + 0.6 * value + color = SECONDARY_PURPLE + zorder = 2 + else: + lw = 0.8 + alpha = 0.2 + color = '#CCCCCC' + zorder = 1 + + ax.plot(angle_vals, r_vals, color=color, + linewidth=lw, alpha=alpha, zorder=zorder) + + # Clean up + ax.set_ylim(0, 1.4) + ax.set_yticks([]) + ax.set_xticks([]) + ax.spines['polar'].set_visible(False) + + if title: + ax.set_title(title, fontsize=14, fontweight='bold', pad=20) + + return ax + + +# ============================================================================= +# Global Metrics +# ============================================================================= + + +def compute_global_connectivity( + matrix: NDArray[np.floating], + exclude_diagonal: bool = True +) -> float: + """ + Compute mean connectivity (global connectivity). + + Parameters + ---------- + matrix : NDArray[np.floating] + Connectivity matrix. + exclude_diagonal : bool, optional + Whether to exclude diagonal values. Default True. + + Returns + ------- + float + Mean connectivity value. + + Examples + -------- + >>> matrix = np.array([[np.nan, 0.5, 0.3], [0.5, np.nan, 0.7], [0.3, 0.7, np.nan]]) + >>> compute_global_connectivity(matrix) + 0.5 + """ + if exclude_diagonal: + # Get upper triangle values (excludes diagonal) + values = get_upper_triangle_values(matrix, k=1) + else: + values = matrix.flatten() + + # Remove NaN values + values = values[~np.isnan(values)] + return float(np.mean(values)) + + +def compute_connection_density( + matrix: NDArray[np.floating], + threshold: float, + exclude_diagonal: bool = True +) -> float: + """ + Compute proportion of connections exceeding threshold. + + Parameters + ---------- + matrix : NDArray[np.floating] + Connectivity matrix. + threshold : float + Connectivity threshold. + exclude_diagonal : bool, optional + Whether to exclude diagonal. Default True. + + Returns + ------- + float + Proportion of connections above threshold (0 to 1). + + Examples + -------- + >>> matrix = np.array([[np.nan, 0.8, 0.3], [0.8, np.nan, 0.6], [0.3, 0.6, np.nan]]) + >>> compute_connection_density(matrix, 0.5) + 0.6666666666666666 + """ + if exclude_diagonal: + values = get_upper_triangle_values(matrix, k=1) + else: + values = matrix.flatten() + + values = values[~np.isnan(values)] + return float(np.mean(values > threshold)) + + +def compute_hyperscanning_ratio( + within_mean: float, + between_mean: float +) -> float: + """ + Compute ratio of between to within connectivity. + + Parameters + ---------- + within_mean : float + Mean within-participant connectivity. + between_mean : float + Mean between-participant connectivity. + + Returns + ------- + float + Ratio (between / within). + > 1 indicates stronger inter-brain than intra-brain connectivity. + + Examples + -------- + >>> compute_hyperscanning_ratio(0.4, 0.6) + 1.5 + """ + if within_mean == 0: + return np.inf if between_mean > 0 else 0.0 + return between_mean / within_mean + + +# ============================================================================= +# Validation +# ============================================================================= + + +def validate_connectivity_matrix( + matrix: NDArray[np.floating], + metric: str = "plv", + tolerance: float = 1e-10 +) -> Dict[str, Any]: + """ + Validate connectivity matrix properties. + + Parameters + ---------- + matrix : NDArray[np.floating] + Connectivity matrix to validate. + metric : str, optional + Expected metric type. Default is "plv". + tolerance : float, optional + Tolerance for symmetry check. Default is 1e-10. + + Returns + ------- + Dict[str, Any] + Validation results with keys: + - "is_square": bool + - "is_symmetric": bool + - "in_range": bool + - "diagonal_is_nan": bool + - "has_invalid_values": bool + - "issues": str (description of any issues found) + + Examples + -------- + >>> matrix = np.array([[np.nan, 0.5], [0.5, np.nan]]) + >>> result = validate_connectivity_matrix(matrix) + >>> result['is_symmetric'] + True + """ + issues = [] + + # Check square + is_square = matrix.shape[0] == matrix.shape[1] + if not is_square: + issues.append(f"Matrix is not square: {matrix.shape}") + + # Check symmetry (ignoring diagonal) + if is_square: + # Create a copy without diagonal for comparison + m1 = matrix.copy() + m2 = matrix.T.copy() + np.fill_diagonal(m1, 0) + np.fill_diagonal(m2, 0) + # Handle NaN in comparison + mask = ~(np.isnan(m1) | np.isnan(m2)) + is_symmetric = np.allclose(m1[mask], m2[mask], atol=tolerance) + if not is_symmetric: + issues.append("Matrix is not symmetric") + else: + is_symmetric = False + + # Check value range based on metric + off_diag = matrix[~np.eye(matrix.shape[0], dtype=bool)] + off_diag_valid = off_diag[~np.isnan(off_diag)] + + if metric == "plv": + in_range = np.all((off_diag_valid >= 0) & (off_diag_valid <= 1)) + if not in_range: + issues.append(f"PLV values out of [0, 1] range") + elif metric == "correlation": + in_range = np.all((off_diag_valid >= -1) & (off_diag_valid <= 1)) + if not in_range: + issues.append(f"Correlation values out of [-1, 1] range") + else: + in_range = True # Can't validate unknown metrics + + # Check diagonal + diagonal = np.diag(matrix) + diagonal_is_nan = np.all(np.isnan(diagonal)) + if not diagonal_is_nan: + issues.append("Diagonal contains non-NaN values") + + # Check for invalid values (Inf) + has_invalid_values = np.any(np.isinf(matrix)) + if has_invalid_values: + issues.append("Matrix contains Inf values") + + return { + "is_square": is_square, + "is_symmetric": is_symmetric, + "in_range": in_range, + "diagonal_is_nan": diagonal_is_nan, + "has_invalid_values": has_invalid_values, + "issues": "; ".join(issues) if issues else "" + } + + +def get_matrix_statistics( + matrix: NDArray[np.floating], + exclude_diagonal: bool = True +) -> Dict[str, float]: + """ + Compute summary statistics of connectivity matrix. + + Parameters + ---------- + matrix : NDArray[np.floating] + Connectivity matrix. + exclude_diagonal : bool, optional + Whether to exclude diagonal values. Default True. + + Returns + ------- + Dict[str, float] + Statistics including mean, std, min, max, median, n_values. + + Examples + -------- + >>> matrix = np.array([[np.nan, 0.5, 0.3], [0.5, np.nan, 0.7], [0.3, 0.7, np.nan]]) + >>> stats = get_matrix_statistics(matrix) + >>> stats['mean'] + 0.5 + """ + if exclude_diagonal: + values = get_upper_triangle_values(matrix, k=1) + else: + values = matrix.flatten() + + # Remove NaN values + values = values[~np.isnan(values)] + + if len(values) == 0: + return { + "mean": np.nan, + "std": np.nan, + "min": np.nan, + "max": np.nan, + "median": np.nan, + "n_values": 0 + } + + return { + "mean": float(np.mean(values)), + "std": float(np.std(values)), + "min": float(np.min(values)), + "max": float(np.max(values)), + "median": float(np.median(values)), + "n_values": len(values) + } diff --git a/ConnectivityMetricsTutorials-main/src/constants.py b/ConnectivityMetricsTutorials-main/src/constants.py new file mode 100644 index 0000000..5b03360 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/constants.py @@ -0,0 +1,36 @@ +"""Constants for EEG signal analysis. + +This module provides standard definitions for EEG frequency bands +and associated colors for visualization. +""" + +# Standard EEG frequency bands (Hz) +EEG_BANDS: dict[str, tuple[float, float]] = { + "delta": (1.0, 4.0), + "theta": (4.0, 8.0), + "alpha": (8.0, 13.0), + "beta": (13.0, 30.0), + "gamma": (30.0, 100.0), +} + +# Colors for visualization of each band +# NOTE: These colors are synchronized with src/colors.py and docs/STYLE_GUIDE.md +BAND_COLORS: dict[str, str] = { + "delta": "#6C5B7B", # Plum + "theta": "#C06C84", # Rose + "alpha": "#F8B500", # Gold + "beta": "#00CEC9", # Teal + "gamma": "#6DD47E", # Mint +} + +# Extended band definitions (for specific research needs) +EEG_BANDS_EXTENDED: dict[str, tuple[float, float]] = { + "delta": (1.0, 4.0), + "theta": (4.0, 8.0), + "low_alpha": (8.0, 10.0), + "high_alpha": (10.0, 13.0), + "low_beta": (13.0, 20.0), + "high_beta": (20.0, 30.0), + "low_gamma": (30.0, 50.0), + "high_gamma": (50.0, 100.0), +} diff --git a/ConnectivityMetricsTutorials-main/src/envelope.py b/ConnectivityMetricsTutorials-main/src/envelope.py new file mode 100644 index 0000000..ad1aa2d --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/envelope.py @@ -0,0 +1,344 @@ +""" +Amplitude envelope extraction and analysis functions. + +This module provides utilities for extracting, smoothing, and analyzing +amplitude envelopes from neural signals, commonly used in hyperscanning +and connectivity studies. +""" + +from typing import Any, Dict, Tuple + +import numpy as np +from numpy.typing import NDArray +from scipy.ndimage import gaussian_filter1d +from scipy.signal import butter, filtfilt, hilbert, welch + + +def extract_envelope( + signal: NDArray[np.floating[Any]], + fs: float, + band: Tuple[float, float], + filter_order: int = 4 +) -> NDArray[np.floating[Any]]: + """ + Extract amplitude envelope from a signal in a specific frequency band. + + Applies bandpass filtering, Hilbert transform, and takes the magnitude + to obtain the instantaneous amplitude envelope. + + Parameters + ---------- + signal : NDArray[np.floating[Any]] + Input signal (1D array). + fs : float + Sampling frequency in Hz. + band : Tuple[float, float] + Frequency band as (low_freq, high_freq) in Hz. + filter_order : int, optional + Order of the Butterworth bandpass filter. Default is 4. + + Returns + ------- + NDArray[np.floating[Any]] + Amplitude envelope of the filtered signal. + + Examples + -------- + >>> import numpy as np + >>> fs = 250 + >>> t = np.arange(0, 2, 1/fs) + >>> signal = np.sin(2*np.pi*10*t) # 10 Hz signal + >>> envelope = extract_envelope(signal, fs, (8, 13)) # Alpha band + >>> envelope.shape == signal.shape + True + """ + # Bandpass filter + nyq = fs / 2 + low = band[0] / nyq + high = band[1] / nyq + b, a = butter(filter_order, [low, high], btype='band') + filtered = filtfilt(b, a, signal) + + # Hilbert transform and envelope + analytic = hilbert(filtered) + envelope = np.abs(analytic) + + return envelope + + +def compute_envelope_psd( + envelope: NDArray[np.floating[Any]], + fs: float, + nperseg: int | None = None +) -> Tuple[NDArray[np.floating[Any]], NDArray[np.floating[Any]]]: + """ + Compute power spectral density of an amplitude envelope. + + Uses Welch's method to estimate the PSD, revealing the temporal + dynamics of envelope fluctuations. + + Parameters + ---------- + envelope : NDArray[np.floating[Any]] + Amplitude envelope signal. + fs : float + Sampling frequency in Hz. + nperseg : int | None, optional + Length of each segment for Welch's method. Default is fs*2. + + Returns + ------- + freqs : NDArray[np.floating[Any]] + Frequency values in Hz. + psd : NDArray[np.floating[Any]] + Power spectral density values. + + Examples + -------- + >>> import numpy as np + >>> fs = 250 + >>> t = np.arange(0, 10, 1/fs) + >>> envelope = 1 + 0.5*np.sin(2*np.pi*0.5*t) # 0.5 Hz modulation + >>> freqs, psd = compute_envelope_psd(envelope, fs) + >>> freqs[np.argmax(psd)] # Should be near 0.5 Hz + """ + if nperseg is None: + nperseg = int(fs * 2) + + freqs, psd = welch(envelope, fs=fs, nperseg=nperseg) + + return freqs, psd + + +def smooth_envelope_moving_average( + envelope: NDArray[np.floating[Any]], + window_samples: int +) -> NDArray[np.floating[Any]]: + """ + Smooth envelope using a simple moving average filter. + + Parameters + ---------- + envelope : NDArray[np.floating[Any]] + Input amplitude envelope. + window_samples : int + Size of the moving average window in samples. + + Returns + ------- + NDArray[np.floating[Any]] + Smoothed envelope (same length as input). + + Notes + ----- + Uses 'same' mode convolution, which may introduce edge effects. + Consider using Gaussian smoothing for smoother results. + + Examples + -------- + >>> import numpy as np + >>> envelope = np.array([1, 2, 3, 4, 5, 4, 3, 2, 1]) + >>> smoothed = smooth_envelope_moving_average(envelope, 3) + >>> len(smoothed) == len(envelope) + True + """ + kernel = np.ones(window_samples) / window_samples + smoothed = np.convolve(envelope, kernel, mode='same') + return smoothed + + +def smooth_envelope_gaussian( + envelope: NDArray[np.floating[Any]], + sigma_samples: int +) -> NDArray[np.floating[Any]]: + """ + Smooth envelope using a Gaussian filter. + + Parameters + ---------- + envelope : NDArray[np.floating[Any]] + Input amplitude envelope. + sigma_samples : int + Standard deviation of Gaussian kernel in samples. + To convert from milliseconds: sigma_samples = sigma_ms * fs / 1000 + + Returns + ------- + NDArray[np.floating[Any]] + Gaussian-smoothed envelope. + + Notes + ----- + Gaussian smoothing provides better frequency characteristics than + moving average and produces smoother output without sharp transitions. + + Examples + -------- + >>> import numpy as np + >>> envelope = np.random.randn(1000) + 5 # Noisy envelope + >>> smoothed = smooth_envelope_gaussian(envelope, sigma_samples=25) + >>> np.std(smoothed) < np.std(envelope) # Should be smoother + True + """ + smoothed = gaussian_filter1d(envelope, sigma=sigma_samples) + return smoothed + + +def smooth_envelope_lowpass( + envelope: NDArray[np.floating[Any]], + fs: float, + cutoff: float = 2.0, + order: int = 4 +) -> NDArray[np.floating[Any]]: + """ + Smooth envelope using a low-pass Butterworth filter. + + Parameters + ---------- + envelope : NDArray[np.floating[Any]] + Input amplitude envelope. + fs : float + Sampling frequency in Hz. + cutoff : float, optional + Cutoff frequency in Hz. Default is 2.0 Hz. + order : int, optional + Filter order. Default is 4. + + Returns + ------- + NDArray[np.floating[Any]] + Low-pass filtered envelope. + + Notes + ----- + Low-pass filtering provides a principled way to remove high-frequency + noise from envelopes while preserving physiologically relevant dynamics. + Typical envelope dynamics are below 2-3 Hz for most cognitive processes. + + Examples + -------- + >>> import numpy as np + >>> fs = 250 + >>> envelope = np.random.randn(fs*10) + 5 # 10 seconds + >>> smoothed = smooth_envelope_lowpass(envelope, fs, cutoff=1.0) + """ + nyq = fs / 2 + normalized_cutoff = cutoff / nyq + b, a = butter(order, normalized_cutoff, btype='low') + smoothed = filtfilt(b, a, envelope) + return smoothed + + +def compute_envelope_correlation( + signal1: NDArray[np.floating[Any]], + signal2: NDArray[np.floating[Any]], + fs: float, + band: Tuple[float, float], + filter_order: int = 4 +) -> float: + """ + Compute Pearson correlation between amplitude envelopes of two signals. + + Extracts envelopes from both signals in the specified frequency band, + then computes their correlation coefficient. + + Parameters + ---------- + signal1 : NDArray[np.floating[Any]] + First input signal. + signal2 : NDArray[np.floating[Any]] + Second input signal (same length as signal1). + fs : float + Sampling frequency in Hz. + band : Tuple[float, float] + Frequency band as (low_freq, high_freq) in Hz. + filter_order : int, optional + Order of the Butterworth bandpass filter. Default is 4. + + Returns + ------- + float + Pearson correlation coefficient between envelopes (-1 to +1). + + Notes + ----- + Envelope correlation is a measure of amplitude coupling between signals. + High values indicate that the signals increase and decrease in power + together, suggesting coordinated neural activity. + + Caution: Volume conduction can cause spurious envelope correlations + between nearby electrodes. + + Examples + -------- + >>> import numpy as np + >>> fs = 250 + >>> t = np.arange(0, 5, 1/fs) + >>> mod = 0.5 + 0.5*np.sin(2*np.pi*0.3*t) + >>> s1 = mod * np.sin(2*np.pi*10*t) + >>> s2 = mod * np.sin(2*np.pi*10*t + 0.5) # Same modulation + >>> corr = compute_envelope_correlation(s1, s2, fs, (8, 13)) + >>> corr > 0.9 # Should be highly correlated + True + """ + env1 = extract_envelope(signal1, fs, band, filter_order) + env2 = extract_envelope(signal2, fs, band, filter_order) + + correlation = float(np.corrcoef(env1, env2)[0, 1]) + + return correlation + + +def compute_envelope_statistics( + envelope: NDArray[np.floating[Any]] +) -> Dict[str, float]: + """ + Compute descriptive statistics of an amplitude envelope. + + Parameters + ---------- + envelope : NDArray[np.floating[Any]] + Input amplitude envelope. + + Returns + ------- + Dict[str, float] + Dictionary containing: + - 'mean': Mean amplitude + - 'std': Standard deviation + - 'cv': Coefficient of variation (std/mean) + - 'median': Median amplitude + - 'p25': 25th percentile + - 'p75': 75th percentile + - 'iqr': Interquartile range (p75 - p25) + + Notes + ----- + The coefficient of variation (CV) is useful for comparing envelope + variability across conditions or participants, as it normalizes by + the mean amplitude. + + Examples + -------- + >>> import numpy as np + >>> envelope = np.abs(np.random.randn(1000)) + 1 + >>> stats = compute_envelope_statistics(envelope) + >>> 'mean' in stats and 'cv' in stats + True + """ + mean_val = float(np.mean(envelope)) + std_val = float(np.std(envelope)) + cv = std_val / mean_val if mean_val > 0 else 0.0 + median_val = float(np.median(envelope)) + p25 = float(np.percentile(envelope, 25)) + p75 = float(np.percentile(envelope, 75)) + + return { + 'mean': mean_val, + 'std': std_val, + 'cv': cv, + 'median': median_val, + 'p25': p25, + 'p75': p75, + 'iqr': p75 - p25 + } diff --git a/ConnectivityMetricsTutorials-main/src/filtering.py b/ConnectivityMetricsTutorials-main/src/filtering.py new file mode 100644 index 0000000..c786f29 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/filtering.py @@ -0,0 +1,491 @@ +""" +Filtering functions for EEG signal processing. + +This module provides functions for designing and applying digital filters +to neural signals, with a focus on EEG preprocessing for connectivity analysis. + +Functions +--------- +design_fir_filter : Design a FIR filter using the window method +design_iir_filter : Design an IIR filter (Butterworth, Chebyshev, etc.) +apply_filter : Apply a filter to a signal with zero-phase option +lowpass_filter : Apply a lowpass filter +highpass_filter : Apply a highpass filter +bandpass_filter : Apply a bandpass filter +notch_filter : Remove a specific frequency +notch_filter_harmonics : Remove a frequency and its harmonics +mne_filter_data : Wrapper for MNE filtering +""" + +from typing import Literal, Tuple + +import numpy as np +from numpy.typing import NDArray +from scipy.signal import ( + butter, + cheby1, + cheby2, + ellip, + filtfilt, + firwin, + iirnotch, + lfilter, +) + + +def design_iir_filter( + cutoff: float | Tuple[float, float], + fs: float, + order: int = 4, + btype: Literal["low", "high", "band", "bandstop"] = "low", + ftype: Literal["butter", "cheby1", "cheby2", "ellip"] = "butter", + rp: float = 1.0, + rs: float = 40.0, +) -> Tuple[NDArray[np.floating], NDArray[np.floating]]: + """ + Design an IIR filter. + + Parameters + ---------- + cutoff : float or tuple of float + Cutoff frequency in Hz. For bandpass/bandstop, provide (low, high). + fs : float + Sampling frequency in Hz. + order : int, default=4 + Filter order. + btype : {'low', 'high', 'band', 'bandstop'}, default='low' + Filter type. + ftype : {'butter', 'cheby1', 'cheby2', 'ellip'}, default='butter' + IIR filter family. + rp : float, default=1.0 + Maximum ripple in passband (dB). Used for cheby1 and ellip. + rs : float, default=40.0 + Minimum attenuation in stopband (dB). Used for cheby2 and ellip. + + Returns + ------- + b : ndarray + Numerator coefficients. + a : ndarray + Denominator coefficients. + + Examples + -------- + >>> b, a = design_iir_filter(30, fs=250, order=4, btype='low') + >>> b, a = design_iir_filter((8, 13), fs=250, order=4, btype='band') + """ + nyquist = fs / 2 + + # Normalize cutoff frequency + if isinstance(cutoff, (list, tuple)): + normalized_cutoff: float | Tuple[float, float] = ( + cutoff[0] / nyquist, + cutoff[1] / nyquist, + ) + else: + normalized_cutoff = cutoff / nyquist + + # Select filter design function + if ftype == "butter": + b, a = butter(order, normalized_cutoff, btype=btype) + elif ftype == "cheby1": + b, a = cheby1(order, rp, normalized_cutoff, btype=btype) + elif ftype == "cheby2": + b, a = cheby2(order, rs, normalized_cutoff, btype=btype) + elif ftype == "ellip": + b, a = ellip(order, rp, rs, normalized_cutoff, btype=btype) + else: + raise ValueError(f"Unknown filter type: {ftype}") + + return b, a + + +def design_fir_filter( + cutoff: float | Tuple[float, float], + fs: float, + numtaps: int = 101, + btype: Literal["low", "high", "band", "bandstop"] = "low", + window: str = "hamming", +) -> NDArray[np.floating]: + """ + Design a FIR filter using the window method. + + Parameters + ---------- + cutoff : float or tuple of float + Cutoff frequency in Hz. For bandpass/bandstop, provide (low, high). + fs : float + Sampling frequency in Hz. + numtaps : int, default=101 + Number of filter coefficients (filter length). + Should be odd for type I linear phase FIR. + btype : {'low', 'high', 'band', 'bandstop'}, default='low' + Filter type. + window : str, default='hamming' + Window function to use ('hamming', 'hann', 'blackman', 'kaiser', etc.). + + Returns + ------- + h : ndarray + FIR filter coefficients. + + Examples + -------- + >>> h = design_fir_filter(30, fs=250, numtaps=101, btype='low') + >>> h = design_fir_filter((8, 13), fs=250, numtaps=101, btype='band') + """ + nyquist = fs / 2 + + # Normalize cutoff frequency + if isinstance(cutoff, (list, tuple)): + normalized_cutoff: float | list[float] = [c / nyquist for c in cutoff] + else: + normalized_cutoff = cutoff / nyquist + + # Design filter + if btype == "low": + h = firwin(numtaps, normalized_cutoff, window=window) + elif btype == "high": + h = firwin(numtaps, normalized_cutoff, pass_zero=False, window=window) + elif btype == "band": + h = firwin(numtaps, normalized_cutoff, pass_zero=False, window=window) + elif btype == "bandstop": + h = firwin(numtaps, normalized_cutoff, pass_zero=True, window=window) + else: + raise ValueError(f"Unknown filter type: {btype}") + + return h + + +def apply_filter( + signal: NDArray[np.floating], + b: NDArray[np.floating], + a: NDArray[np.floating] | None = None, + zero_phase: bool = True, +) -> NDArray[np.floating]: + """ + Apply a filter to a signal. + + Parameters + ---------- + signal : ndarray + Input signal to filter. + b : ndarray + Numerator coefficients of the filter. + a : ndarray or None, default=None + Denominator coefficients. If None, assumes FIR filter (a=[1]). + zero_phase : bool, default=True + If True, use zero-phase filtering (filtfilt). + If False, use causal filtering (lfilter). + + Returns + ------- + filtered : ndarray + Filtered signal. + + Notes + ----- + Zero-phase filtering applies the filter twice (forward and backward), + which doubles the filter order but eliminates phase distortion. + """ + if a is None: + a = np.array([1.0]) + + if zero_phase: + # Zero-phase filtering (no phase distortion) + return filtfilt(b, a, signal) + else: + # Causal filtering (introduces phase delay) + return lfilter(b, a, signal) + + +def lowpass_filter( + signal: NDArray[np.floating], + cutoff: float, + fs: float, + order: int = 4, + zero_phase: bool = True, + fir: bool = False, + numtaps: int = 101, +) -> NDArray[np.floating]: + """ + Apply a lowpass filter to a signal. + + Parameters + ---------- + signal : ndarray + Input signal to filter. + cutoff : float + Cutoff frequency in Hz. + fs : float + Sampling frequency in Hz. + order : int, default=4 + Filter order (for IIR) or ignored (for FIR). + zero_phase : bool, default=True + If True, use zero-phase filtering (filtfilt). + fir : bool, default=False + If True, use FIR filter. If False, use IIR (Butterworth). + numtaps : int, default=101 + Number of FIR filter taps (only used if fir=True). + + Returns + ------- + filtered : ndarray + Lowpass filtered signal. + + Examples + -------- + >>> filtered = lowpass_filter(signal, cutoff=30, fs=250) + >>> filtered = lowpass_filter(signal, cutoff=30, fs=250, fir=True) + """ + if fir: + h = design_fir_filter(cutoff, fs, numtaps=numtaps, btype="low") + return apply_filter(signal, h, zero_phase=zero_phase) + else: + b, a = design_iir_filter(cutoff, fs, order=order, btype="low") + return apply_filter(signal, b, a, zero_phase=zero_phase) + + +def highpass_filter( + signal: NDArray[np.floating], + cutoff: float, + fs: float, + order: int = 4, + zero_phase: bool = True, + fir: bool = False, + numtaps: int = 101, +) -> NDArray[np.floating]: + """ + Apply a highpass filter to a signal. + + Parameters + ---------- + signal : ndarray + Input signal to filter. + cutoff : float + Cutoff frequency in Hz. + fs : float + Sampling frequency in Hz. + order : int, default=4 + Filter order (for IIR) or ignored (for FIR). + zero_phase : bool, default=True + If True, use zero-phase filtering (filtfilt). + fir : bool, default=False + If True, use FIR filter. If False, use IIR (Butterworth). + numtaps : int, default=101 + Number of FIR filter taps (only used if fir=True). + + Returns + ------- + filtered : ndarray + Highpass filtered signal. + + Examples + -------- + >>> filtered = highpass_filter(signal, cutoff=1.0, fs=250) + >>> filtered = highpass_filter(signal, cutoff=0.5, fs=250, fir=True) + """ + if fir: + h = design_fir_filter(cutoff, fs, numtaps=numtaps, btype="high") + return apply_filter(signal, h, zero_phase=zero_phase) + else: + b, a = design_iir_filter(cutoff, fs, order=order, btype="high") + return apply_filter(signal, b, a, zero_phase=zero_phase) + + +def bandpass_filter( + signal: NDArray[np.floating], + low_freq: float, + high_freq: float, + fs: float, + order: int = 4, + zero_phase: bool = True, + fir: bool = False, + numtaps: int = 101, +) -> NDArray[np.floating]: + """ + Apply a bandpass filter to a signal. + + Parameters + ---------- + signal : ndarray + Input signal to filter. + low_freq : float + Lower cutoff frequency in Hz. + high_freq : float + Upper cutoff frequency in Hz. + fs : float + Sampling frequency in Hz. + order : int, default=4 + Filter order (for IIR) or ignored (for FIR). + zero_phase : bool, default=True + If True, use zero-phase filtering (filtfilt). + fir : bool, default=False + If True, use FIR filter. If False, use IIR (Butterworth). + numtaps : int, default=101 + Number of FIR filter taps (only used if fir=True). + + Returns + ------- + filtered : ndarray + Bandpass filtered signal. + + Examples + -------- + >>> alpha = bandpass_filter(signal, low_freq=8, high_freq=13, fs=250) + >>> standard_eeg = bandpass_filter(signal, low_freq=0.5, high_freq=40, fs=250) + """ + if fir: + h = design_fir_filter((low_freq, high_freq), fs, numtaps=numtaps, btype="band") + return apply_filter(signal, h, zero_phase=zero_phase) + else: + b, a = design_iir_filter((low_freq, high_freq), fs, order=order, btype="band") + return apply_filter(signal, b, a, zero_phase=zero_phase) + + +def notch_filter( + signal: NDArray[np.floating], + freq: float, + fs: float, + quality: float = 30.0, + zero_phase: bool = True, +) -> NDArray[np.floating]: + """ + Apply a notch filter to remove a specific frequency. + + Parameters + ---------- + signal : ndarray + Input signal to filter. + freq : float + Frequency to remove in Hz. + fs : float + Sampling frequency in Hz. + quality : float, default=30.0 + Quality factor. Higher values create narrower notches. + Bandwidth = freq / quality. + zero_phase : bool, default=True + If True, use zero-phase filtering (filtfilt). + + Returns + ------- + filtered : ndarray + Notch filtered signal. + + Examples + -------- + >>> clean = notch_filter(signal, freq=50, fs=250) # Remove 50 Hz + >>> clean = notch_filter(signal, freq=60, fs=250, quality=50) # Narrow notch + """ + # Design notch filter + b, a = iirnotch(freq, quality, fs) + + return apply_filter(signal, b, a, zero_phase=zero_phase) + + +def notch_filter_harmonics( + signal: NDArray[np.floating], + base_freq: float, + fs: float, + n_harmonics: int = 3, + quality: float = 30.0, + zero_phase: bool = True, +) -> NDArray[np.floating]: + """ + Apply notch filters at a frequency and its harmonics. + + Parameters + ---------- + signal : ndarray + Input signal to filter. + base_freq : float + Base frequency to remove in Hz. + fs : float + Sampling frequency in Hz. + n_harmonics : int, default=3 + Number of harmonics to remove (including base frequency). + quality : float, default=30.0 + Quality factor for all notches. + zero_phase : bool, default=True + If True, use zero-phase filtering (filtfilt). + + Returns + ------- + filtered : ndarray + Signal with base frequency and harmonics removed. + + Examples + -------- + >>> clean = notch_filter_harmonics(signal, 50, fs=500, n_harmonics=3) + # Removes 50 Hz, 100 Hz, and 150 Hz + """ + nyquist = fs / 2 + filtered = signal.copy() + + for i in range(1, n_harmonics + 1): + harmonic_freq = base_freq * i + if harmonic_freq < nyquist: + filtered = notch_filter(filtered, harmonic_freq, fs, quality, zero_phase) + + return filtered + + +def mne_filter_data( + data: NDArray[np.floating], + fs: float, + l_freq: float | None = None, + h_freq: float | None = None, + method: str = "fir", + verbose: bool = False, +) -> NDArray[np.floating]: + """ + Filter data using MNE's filter_data function. + + This is a wrapper around mne.filter.filter_data that provides + MNE's robust filtering with simple numpy arrays. + + Parameters + ---------- + data : ndarray + Input data to filter. Can be 1D or 2D (channels x samples). + fs : float + Sampling frequency in Hz. + l_freq : float or None + Low cutoff frequency in Hz. If None, no highpass. + h_freq : float or None + High cutoff frequency in Hz. If None, no lowpass. + method : str, default='fir' + Filter method: 'fir' or 'iir'. + verbose : bool, default=False + If True, print MNE filter information. + + Returns + ------- + filtered : ndarray + Filtered data with same shape as input. + + Examples + -------- + >>> # Bandpass filter 1-40 Hz + >>> filtered = mne_filter_data(data, fs=250, l_freq=1, h_freq=40) + + >>> # Highpass only + >>> filtered = mne_filter_data(data, fs=250, l_freq=0.5, h_freq=None) + """ + import mne + + # Ensure 2D for MNE (channels x samples) + was_1d = data.ndim == 1 + if was_1d: + data = data.reshape(1, -1) + + # Use MNE's filter_data + filtered = mne.filter.filter_data( + data, sfreq=fs, l_freq=l_freq, h_freq=h_freq, method=method, verbose=verbose + ) + + # Return to original shape + if was_1d: + filtered = filtered.flatten() + + return filtered diff --git a/ConnectivityMetricsTutorials-main/src/graph.py b/ConnectivityMetricsTutorials-main/src/graph.py new file mode 100644 index 0000000..456c2d9 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/graph.py @@ -0,0 +1,715 @@ +""" +Graph theory functions for connectivity analysis. + +This module provides functions for analyzing brain connectivity matrices +as graphs, including thresholding, node metrics, clustering, path lengths, +small-world analysis, and hub detection. +""" + +import numpy as np +from numpy.typing import NDArray +from typing import Tuple, Dict, Any, Optional + + +# ============================================================================= +# THRESHOLDING FUNCTIONS +# ============================================================================= + +def threshold_matrix_absolute( + matrix: NDArray[np.float64], + threshold: float +) -> NDArray[np.float64]: + """ + Convert weighted matrix to binary using absolute threshold. + + Parameters + ---------- + matrix : NDArray[np.float64] + Weighted connectivity matrix. + threshold : float + Minimum absolute value to keep edge. + + Returns + ------- + NDArray[np.float64] + Binary adjacency matrix. + """ + binary = (np.abs(matrix) > threshold).astype(np.float64) + np.fill_diagonal(binary, 0) # No self-connections + return binary + + +def threshold_matrix_proportional( + matrix: NDArray[np.float64], + density: float +) -> NDArray[np.float64]: + """ + Convert weighted matrix to binary keeping top proportion of edges. + + Parameters + ---------- + matrix : NDArray[np.float64] + Weighted connectivity matrix. + density : float + Proportion of edges to keep (0-1). + + Returns + ------- + NDArray[np.float64] + Binary adjacency matrix with specified density. + """ + n = matrix.shape[0] + # Get upper triangle values (excluding diagonal) + triu_indices = np.triu_indices(n, k=1) + values = np.abs(matrix[triu_indices]) + + # Find threshold for desired density + n_edges_to_keep = int(np.ceil(density * len(values))) + if n_edges_to_keep == 0: + return np.zeros_like(matrix) + + sorted_values = np.sort(values)[::-1] # Descending + threshold = sorted_values[min(n_edges_to_keep - 1, len(sorted_values) - 1)] + + # Apply threshold + binary = (np.abs(matrix) >= threshold).astype(np.float64) + np.fill_diagonal(binary, 0) + return binary + + +def get_graph_density(adjacency: NDArray[np.float64]) -> float: + """ + Compute graph density (proportion of possible edges that exist). + + Parameters + ---------- + adjacency : NDArray[np.float64] + Binary adjacency matrix. + + Returns + ------- + float + Density in range [0, 1]. + """ + n = adjacency.shape[0] + n_possible = n * (n - 1) # Exclude diagonal + n_actual = np.sum(adjacency > 0) - np.trace(adjacency > 0) # Exclude diagonal + return n_actual / n_possible if n_possible > 0 else 0.0 + + +# ============================================================================= +# NODE METRICS +# ============================================================================= + +def compute_degree(adjacency: NDArray[np.float64]) -> NDArray[np.float64]: + """ + Compute degree (number of connections) for each node. + + Parameters + ---------- + adjacency : NDArray[np.float64] + Binary adjacency matrix. + + Returns + ------- + NDArray[np.float64] + Degree of each node. + """ + binary = (adjacency > 0).astype(np.float64) + np.fill_diagonal(binary, 0) + return np.sum(binary, axis=1) + + +def compute_strength( + weighted_matrix: NDArray[np.float64] +) -> NDArray[np.float64]: + """ + Compute strength (sum of edge weights) for each node. + + Parameters + ---------- + weighted_matrix : NDArray[np.float64] + Weighted adjacency matrix. + + Returns + ------- + NDArray[np.float64] + Strength of each node. + """ + matrix = weighted_matrix.copy() + np.fill_diagonal(matrix, 0) + return np.sum(np.abs(matrix), axis=1) + + +def compute_in_out_degree( + adjacency: NDArray[np.float64] +) -> Tuple[NDArray[np.float64], NDArray[np.float64]]: + """ + Compute in-degree and out-degree for directed graphs. + + Parameters + ---------- + adjacency : NDArray[np.float64] + Adjacency matrix (may be asymmetric). + + Returns + ------- + Tuple[NDArray[np.float64], NDArray[np.float64]] + (in_degree, out_degree) arrays. + """ + binary = (adjacency > 0).astype(np.float64) + np.fill_diagonal(binary, 0) + in_degree = np.sum(binary, axis=0) # Sum columns + out_degree = np.sum(binary, axis=1) # Sum rows + return in_degree, out_degree + + +# ============================================================================= +# CLUSTERING COEFFICIENT +# ============================================================================= + +def compute_clustering_coefficient( + adjacency: NDArray[np.float64] +) -> NDArray[np.float64]: + """ + Compute local clustering coefficient for each node. + + The clustering coefficient measures how connected a node's + neighbors are to each other. + + Parameters + ---------- + adjacency : NDArray[np.float64] + Binary adjacency matrix. + + Returns + ------- + NDArray[np.float64] + Clustering coefficient for each node (0-1). + """ + binary = (adjacency > 0).astype(np.float64) + np.fill_diagonal(binary, 0) + n = binary.shape[0] + + clustering = np.zeros(n) + + for i in range(n): + # Get neighbors of node i + neighbors = np.where(binary[i, :] > 0)[0] + k = len(neighbors) + + if k < 2: + # Need at least 2 neighbors to form triangles + clustering[i] = 0.0 + continue + + # Count edges between neighbors + n_triangles = 0 + for j in range(len(neighbors)): + for k_idx in range(j + 1, len(neighbors)): + if binary[neighbors[j], neighbors[k_idx]] > 0: + n_triangles += 1 + + # Maximum possible triangles + max_triangles = k * (k - 1) / 2 + clustering[i] = n_triangles / max_triangles + + return clustering + + +def compute_global_clustering(adjacency: NDArray[np.float64]) -> float: + """ + Compute global clustering coefficient (average of local coefficients). + + Parameters + ---------- + adjacency : NDArray[np.float64] + Binary adjacency matrix. + + Returns + ------- + float + Global clustering coefficient. + """ + local_cc = compute_clustering_coefficient(adjacency) + return float(np.mean(local_cc)) + + +# ============================================================================= +# PATH LENGTH AND EFFICIENCY +# ============================================================================= + +def compute_shortest_paths( + adjacency: NDArray[np.float64] +) -> NDArray[np.float64]: + """ + Compute shortest path lengths between all pairs of nodes. + + Uses Floyd-Warshall algorithm. + + Parameters + ---------- + adjacency : NDArray[np.float64] + Binary adjacency matrix. + + Returns + ------- + NDArray[np.float64] + Distance matrix (inf for disconnected pairs). + """ + binary = (adjacency > 0).astype(np.float64) + np.fill_diagonal(binary, 0) + n = binary.shape[0] + + # Initialize distance matrix + dist = np.full((n, n), np.inf) + dist[binary > 0] = 1 # Direct connections have distance 1 + np.fill_diagonal(dist, 0) + + # Floyd-Warshall algorithm + for k in range(n): + for i in range(n): + for j in range(n): + if dist[i, k] + dist[k, j] < dist[i, j]: + dist[i, j] = dist[i, k] + dist[k, j] + + return dist + + +def compute_characteristic_path_length( + adjacency: NDArray[np.float64] +) -> Tuple[float, bool]: + """ + Compute characteristic path length (average shortest path). + + Parameters + ---------- + adjacency : NDArray[np.float64] + Binary adjacency matrix. + + Returns + ------- + Tuple[float, bool] + (path_length, is_connected). Path length is inf if disconnected. + """ + dist = compute_shortest_paths(adjacency) + n = dist.shape[0] + + # Get upper triangle (excluding diagonal) + triu_indices = np.triu_indices(n, k=1) + path_lengths = dist[triu_indices] + + # Check connectivity + is_connected = not np.any(np.isinf(path_lengths)) + + if is_connected: + return float(np.mean(path_lengths)), True + else: + return float('inf'), False + + +def compute_global_efficiency(adjacency: NDArray[np.float64]) -> float: + """ + Compute global efficiency (average inverse path length). + + Unlike path length, efficiency handles disconnected graphs gracefully. + + Parameters + ---------- + adjacency : NDArray[np.float64] + Binary adjacency matrix. + + Returns + ------- + float + Global efficiency in range [0, 1]. + """ + dist = compute_shortest_paths(adjacency) + n = dist.shape[0] + + # Compute inverse distances (0 for infinite) + with np.errstate(divide='ignore'): + inv_dist = 1.0 / dist + inv_dist[np.isinf(inv_dist)] = 0 + np.fill_diagonal(inv_dist, 0) + + # Average over all pairs + n_pairs = n * (n - 1) + return float(np.sum(inv_dist) / n_pairs) if n_pairs > 0 else 0.0 + + +# ============================================================================= +# GRAPH GENERATORS (for comparison) +# ============================================================================= + +def generate_random_graph( + n_nodes: int, + density: float, + seed: Optional[int] = None +) -> NDArray[np.float64]: + """ + Generate Erdős-Rényi random graph. + + Parameters + ---------- + n_nodes : int + Number of nodes. + density : float + Probability of edge between any two nodes. + seed : Optional[int] + Random seed for reproducibility. + + Returns + ------- + NDArray[np.float64] + Binary adjacency matrix. + """ + if seed is not None: + np.random.seed(seed) + + # Generate random symmetric matrix + adj = np.random.rand(n_nodes, n_nodes) + adj = (adj + adj.T) / 2 # Symmetrize + adj = (adj < density).astype(np.float64) + np.fill_diagonal(adj, 0) + + return adj + + +def generate_lattice_graph( + n_nodes: int, + k_neighbors: int = 2 +) -> NDArray[np.float64]: + """ + Generate regular lattice (ring) graph. + + Each node is connected to k nearest neighbors on each side. + + Parameters + ---------- + n_nodes : int + Number of nodes. + k_neighbors : int + Number of neighbors on each side. + + Returns + ------- + NDArray[np.float64] + Binary adjacency matrix. + """ + adj = np.zeros((n_nodes, n_nodes)) + + for i in range(n_nodes): + for k in range(1, k_neighbors + 1): + # Connect to k neighbors on each side (with wraparound) + j_right = (i + k) % n_nodes + j_left = (i - k) % n_nodes + adj[i, j_right] = 1 + adj[i, j_left] = 1 + + return adj + + +def generate_small_world_graph( + n_nodes: int, + k_neighbors: int = 2, + rewire_prob: float = 0.1, + seed: Optional[int] = None +) -> NDArray[np.float64]: + """ + Generate Watts-Strogatz small-world graph. + + Starts with a lattice and rewires edges with given probability. + + Parameters + ---------- + n_nodes : int + Number of nodes. + k_neighbors : int + Initial neighbors on each side (before rewiring). + rewire_prob : float + Probability of rewiring each edge. + seed : Optional[int] + Random seed for reproducibility. + + Returns + ------- + NDArray[np.float64] + Binary adjacency matrix. + """ + if seed is not None: + np.random.seed(seed) + + # Start with lattice + adj = generate_lattice_graph(n_nodes, k_neighbors) + + # Rewire edges + for i in range(n_nodes): + for k in range(1, k_neighbors + 1): + j = (i + k) % n_nodes + if np.random.rand() < rewire_prob: + # Remove edge (i, j) + adj[i, j] = 0 + adj[j, i] = 0 + + # Add edge to random node (not self, not already connected) + candidates = np.where((adj[i, :] == 0) & (np.arange(n_nodes) != i))[0] + if len(candidates) > 0: + new_j = np.random.choice(candidates) + adj[i, new_j] = 1 + adj[new_j, i] = 1 + + return adj + + +# ============================================================================= +# HUB DETECTION +# ============================================================================= + +def compute_betweenness_centrality( + adjacency: NDArray[np.float64] +) -> NDArray[np.float64]: + """ + Compute betweenness centrality for each node. + + Betweenness measures how often a node lies on shortest paths + between other nodes. + + Parameters + ---------- + adjacency : NDArray[np.float64] + Binary adjacency matrix. + + Returns + ------- + NDArray[np.float64] + Betweenness centrality for each node. + """ + binary = (adjacency > 0).astype(np.float64) + np.fill_diagonal(binary, 0) + n = binary.shape[0] + + betweenness = np.zeros(n) + + # For each source node + for s in range(n): + # BFS to find shortest paths + dist = np.full(n, np.inf) + dist[s] = 0 + n_paths = np.zeros(n) # Number of shortest paths + n_paths[s] = 1 + predecessors = [[] for _ in range(n)] + + # BFS queue + queue = [s] + order = [] # Nodes in order of discovery + + while queue: + v = queue.pop(0) + order.append(v) + + neighbors = np.where(binary[v, :] > 0)[0] + for w in neighbors: + # First time reaching w + if np.isinf(dist[w]): + dist[w] = dist[v] + 1 + queue.append(w) + + # Shortest path to w through v + if dist[w] == dist[v] + 1: + n_paths[w] += n_paths[v] + predecessors[w].append(v) + + # Back-propagate dependencies + dependency = np.zeros(n) + for w in reversed(order): + for v in predecessors[w]: + if n_paths[w] > 0: + dependency[v] += (n_paths[v] / n_paths[w]) * (1 + dependency[w]) + if w != s: + betweenness[w] += dependency[w] + + # Normalize + if n > 2: + betweenness /= ((n - 1) * (n - 2)) + + return betweenness + + +def identify_hubs( + adjacency: NDArray[np.float64], + method: str = "degree", + threshold_percentile: float = 80.0 +) -> Dict[str, Any]: + """ + Identify hub nodes in the network. + + Parameters + ---------- + adjacency : NDArray[np.float64] + Binary or weighted adjacency matrix. + method : str + Method for hub identification: "degree", "strength", or "betweenness". + threshold_percentile : float + Percentile threshold for hub classification. + + Returns + ------- + Dict[str, Any] + Dictionary with 'scores', 'hub_indices', and 'threshold'. + """ + if method == "degree": + scores = compute_degree(adjacency) + elif method == "strength": + scores = compute_strength(adjacency) + elif method == "betweenness": + scores = compute_betweenness_centrality(adjacency) + else: + raise ValueError(f"Unknown method: {method}") + + threshold = np.percentile(scores, threshold_percentile) + hub_indices = np.where(scores >= threshold)[0] + + return { + "scores": scores, + "hub_indices": hub_indices, + "threshold": threshold, + "method": method + } + + +# ============================================================================= +# LAYOUT ALGORITHMS +# ============================================================================= + +def spring_layout( + adjacency: NDArray[np.float64], + n_iterations: int = 50, + seed: Optional[int] = None +) -> NDArray[np.float64]: + """ + Compute spring (force-directed) layout for graph visualization. + + Connected nodes attract each other, all nodes repel. + + Parameters + ---------- + adjacency : NDArray[np.float64] + Adjacency matrix. + n_iterations : int + Number of iterations. + seed : Optional[int] + Random seed for initial positions. + + Returns + ------- + NDArray[np.float64] + Node positions (n_nodes, 2). + """ + if seed is not None: + np.random.seed(seed) + + n = adjacency.shape[0] + binary = (adjacency > 0).astype(np.float64) + + # Initialize random positions + pos = np.random.rand(n, 2) * 2 - 1 + + k_attract = 0.1 # Spring constant for edges + k_repel = 0.5 # Repulsion constant + + for iteration in range(n_iterations): + forces = np.zeros((n, 2)) + + # Repulsion between all pairs + for i in range(n): + for j in range(i + 1, n): + diff = pos[i] - pos[j] + dist = np.linalg.norm(diff) + 0.01 + force = k_repel * diff / (dist ** 2) + forces[i] += force + forces[j] -= force + + # Attraction along edges + for i in range(n): + for j in range(i + 1, n): + if binary[i, j] > 0: + diff = pos[j] - pos[i] + dist = np.linalg.norm(diff) + force = k_attract * diff * dist + forces[i] += force + forces[j] -= force + + # Update positions with decreasing step size + step = 0.1 * (1 - iteration / n_iterations) + pos += step * forces + + # Keep in bounds + pos = np.clip(pos, -2, 2) + + # Center + pos -= pos.mean(axis=0) + + # Normalize to unit circle + max_dist = np.max(np.linalg.norm(pos, axis=1)) + if max_dist > 0: + pos /= max_dist + + return pos + + +def spectral_layout(adjacency: NDArray[np.float64]) -> NDArray[np.float64]: + """ + Compute spectral layout using eigenvectors of Laplacian. + + Parameters + ---------- + adjacency : NDArray[np.float64] + Adjacency matrix. + + Returns + ------- + NDArray[np.float64] + Node positions (n_nodes, 2). + """ + binary = (adjacency > 0).astype(np.float64) + n = binary.shape[0] + + # Compute Laplacian: L = D - A + degrees = np.sum(binary, axis=1) + laplacian = np.diag(degrees) - binary + + # Get eigenvectors + eigenvalues, eigenvectors = np.linalg.eigh(laplacian) + + # Use 2nd and 3rd eigenvectors (1st is constant) + if n >= 3: + pos = eigenvectors[:, 1:3] + else: + pos = np.random.rand(n, 2) + + # Normalize + pos -= pos.mean(axis=0) + max_dist = np.max(np.linalg.norm(pos, axis=1)) + if max_dist > 0: + pos /= max_dist + + return pos + + +def circular_layout(n_nodes: int) -> NDArray[np.float64]: + """ + Compute circular layout for graph visualization. + + Parameters + ---------- + n_nodes : int + Number of nodes. + + Returns + ------- + NDArray[np.float64] + Node positions (n_nodes, 2). + """ + angles = np.linspace(0, 2 * np.pi, n_nodes, endpoint=False) - np.pi / 2 + return np.column_stack([np.cos(angles), np.sin(angles)]) diff --git a/ConnectivityMetricsTutorials-main/src/hilbert.py b/ConnectivityMetricsTutorials-main/src/hilbert.py new file mode 100644 index 0000000..c18544e --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/hilbert.py @@ -0,0 +1,369 @@ +""" +Hilbert transform utilities for extracting amplitude and phase. + +This module provides functions for computing the analytic signal, +extracting instantaneous amplitude (envelope) and phase from signals. +""" + +from typing import Tuple, Optional +import numpy as np +from numpy.typing import NDArray +from scipy.signal import hilbert + + +def compute_analytic_signal( + signal_data: NDArray[np.floating], + axis: int = -1 +) -> NDArray[np.complexfloating]: + """ + Compute the analytic signal using the Hilbert transform. + + The analytic signal is z(t) = x(t) + i*H{x(t)}, where H{} is + the Hilbert transform. + + Parameters + ---------- + signal_data : NDArray[np.floating] + Input real-valued signal. + axis : int, optional + Axis along which to compute the analytic signal. Default is -1. + + Returns + ------- + analytic : NDArray[np.complexfloating] + Complex-valued analytic signal. + + Examples + -------- + >>> import numpy as np + >>> t = np.linspace(0, 1, 250) + >>> signal = np.sin(2 * np.pi * 10 * t) + >>> analytic = compute_analytic_signal(signal) + >>> envelope = np.abs(analytic) + """ + return hilbert(signal_data, axis=axis) + + +def compute_hilbert_transform( + signal_data: NDArray[np.floating], + axis: int = -1 +) -> NDArray[np.floating]: + """ + Compute the Hilbert transform of a signal. + + The Hilbert transform shifts each frequency component by 90 degrees. + For a sine wave, this produces a negative cosine. + + Parameters + ---------- + signal_data : NDArray[np.floating] + Input real-valued signal. + axis : int, optional + Axis along which to compute. Default is -1. + + Returns + ------- + hilbert_transformed : NDArray[np.floating] + Hilbert transform of the input signal. + + Examples + -------- + >>> t = np.linspace(0, 1, 250) + >>> signal = np.sin(2 * np.pi * 10 * t) + >>> h_signal = compute_hilbert_transform(signal) + >>> # h_signal ≈ -cos(2 * np.pi * 10 * t) + """ + analytic = hilbert(signal_data, axis=axis) + return np.imag(analytic) + + +def compute_envelope( + signal_data: NDArray[np.floating], + axis: int = -1 +) -> NDArray[np.floating]: + """ + Compute the instantaneous amplitude (envelope) of a signal. + + The envelope is the magnitude of the analytic signal: + A(t) = |z(t)| = sqrt(x(t)^2 + H{x(t)}^2) + + Parameters + ---------- + signal_data : NDArray[np.floating] + Input real-valued signal. Should be narrowband filtered. + axis : int, optional + Axis along which to compute. Default is -1. + + Returns + ------- + envelope : NDArray[np.floating] + Instantaneous amplitude envelope. + + Notes + ----- + For meaningful results, the input signal should be band-pass + filtered to a narrow frequency range (bandwidth/center < 0.5). + + Examples + -------- + >>> from filtering import bandpass_filter + >>> filtered = bandpass_filter(raw_signal, 8, 12, fs=250) + >>> envelope = compute_envelope(filtered) + """ + analytic = hilbert(signal_data, axis=axis) + return np.abs(analytic) + + +def compute_instantaneous_phase( + signal_data: NDArray[np.floating], + axis: int = -1, + unwrap: bool = False +) -> NDArray[np.floating]: + """ + Compute the instantaneous phase of a signal. + + The instantaneous phase is the angle of the analytic signal: + φ(t) = arg(z(t)) = atan2(H{x(t)}, x(t)) + + Parameters + ---------- + signal_data : NDArray[np.floating] + Input real-valued signal. Should be narrowband filtered. + axis : int, optional + Axis along which to compute. Default is -1. + unwrap : bool, optional + If True, unwrap phase to remove discontinuities. Default is False. + + Returns + ------- + phase : NDArray[np.floating] + Instantaneous phase in radians. Range is [-π, π] if unwrap=False, + or continuous if unwrap=True. + + Notes + ----- + Phase is only meaningful when the signal has sufficient amplitude. + For meaningful results, the input should be band-pass filtered. + + Examples + -------- + >>> from filtering import bandpass_filter + >>> filtered = bandpass_filter(raw_signal, 8, 12, fs=250) + >>> phase = compute_instantaneous_phase(filtered) + """ + analytic = hilbert(signal_data, axis=axis) + phase = np.angle(analytic) + + if unwrap: + phase = np.unwrap(phase, axis=axis) + + return phase + + +def compute_instantaneous_frequency( + signal_data: NDArray[np.floating], + fs: float, + axis: int = -1 +) -> NDArray[np.floating]: + """ + Compute the instantaneous frequency from a signal. + + Instantaneous frequency is the derivative of unwrapped phase: + f(t) = (1/2π) * dφ/dt + + Parameters + ---------- + signal_data : NDArray[np.floating] + Input real-valued signal. Should be narrowband filtered. + fs : float + Sampling frequency in Hz. + axis : int, optional + Axis along which to compute. Default is -1. + + Returns + ------- + inst_freq : NDArray[np.floating] + Instantaneous frequency in Hz. + + Notes + ----- + Instantaneous frequency is very sensitive to noise and only + meaningful for narrowband signals with sufficient amplitude. + + Examples + -------- + >>> from filtering import bandpass_filter + >>> filtered = bandpass_filter(raw_signal, 8, 12, fs=250) + >>> inst_freq = compute_instantaneous_frequency(filtered, fs=250) + """ + # Get unwrapped phase + phase = compute_instantaneous_phase(signal_data, axis=axis, unwrap=True) + + # Compute derivative (phase difference) + phase_diff = np.diff(phase, axis=axis) + + # Convert to frequency + inst_freq = fs * phase_diff / (2 * np.pi) + + # Pad to match original length (repeat first value) + pad_shape = list(inst_freq.shape) + pad_shape[axis] = 1 + first_slice = [slice(None)] * inst_freq.ndim + first_slice[axis] = slice(0, 1) + padding = inst_freq[tuple(first_slice)] + inst_freq = np.concatenate([padding, inst_freq], axis=axis) + + return inst_freq + + +def extract_band_amplitude( + signal_data: NDArray[np.floating], + low_freq: float, + high_freq: float, + fs: float, + filter_func: Optional[callable] = None +) -> NDArray[np.floating]: + """ + Extract amplitude envelope for a specific frequency band. + + This is the standard workflow: filter → Hilbert → amplitude. + + Parameters + ---------- + signal_data : NDArray[np.floating] + Input raw signal. + low_freq : float + Lower cutoff frequency in Hz. + high_freq : float + Upper cutoff frequency in Hz. + fs : float + Sampling frequency in Hz. + filter_func : callable, optional + Band-pass filter function. If None, uses default from filtering module. + + Returns + ------- + amplitude : NDArray[np.floating] + Amplitude envelope of the filtered signal. + + Examples + -------- + >>> alpha_amplitude = extract_band_amplitude(raw_eeg, 8, 13, fs=250) + """ + # Import here to avoid circular imports + if filter_func is None: + from filtering import bandpass_filter + filter_func = bandpass_filter + + # Filter to band + filtered = filter_func(signal_data, low_freq, high_freq, fs) + + # Extract amplitude + return compute_envelope(filtered) + + +def extract_band_phase( + signal_data: NDArray[np.floating], + low_freq: float, + high_freq: float, + fs: float, + unwrap: bool = False, + filter_func: Optional[callable] = None +) -> NDArray[np.floating]: + """ + Extract instantaneous phase for a specific frequency band. + + This is the standard workflow: filter → Hilbert → phase. + + Parameters + ---------- + signal_data : NDArray[np.floating] + Input raw signal. + low_freq : float + Lower cutoff frequency in Hz. + high_freq : float + Upper cutoff frequency in Hz. + fs : float + Sampling frequency in Hz. + unwrap : bool, optional + If True, unwrap phase. Default is False. + filter_func : callable, optional + Band-pass filter function. If None, uses default from filtering module. + + Returns + ------- + phase : NDArray[np.floating] + Instantaneous phase of the filtered signal. + + Examples + -------- + >>> alpha_phase = extract_band_phase(raw_eeg, 8, 13, fs=250) + """ + # Import here to avoid circular imports + if filter_func is None: + from filtering import bandpass_filter + filter_func = bandpass_filter + + # Filter to band + filtered = filter_func(signal_data, low_freq, high_freq, fs) + + # Extract phase + return compute_instantaneous_phase(filtered, unwrap=unwrap) + + +def extract_band_amplitude_phase( + signal_data: NDArray[np.floating], + low_freq: float, + high_freq: float, + fs: float, + filter_func: Optional[callable] = None +) -> Tuple[NDArray[np.floating], NDArray[np.floating], NDArray[np.floating]]: + """ + Extract both amplitude and phase for a specific frequency band. + + This is the complete workflow: filter → Hilbert → amplitude + phase. + + Parameters + ---------- + signal_data : NDArray[np.floating] + Input raw signal. + low_freq : float + Lower cutoff frequency in Hz. + high_freq : float + Upper cutoff frequency in Hz. + fs : float + Sampling frequency in Hz. + filter_func : callable, optional + Band-pass filter function. If None, uses default from filtering module. + + Returns + ------- + filtered : NDArray[np.floating] + Band-pass filtered signal. + amplitude : NDArray[np.floating] + Instantaneous amplitude envelope. + phase : NDArray[np.floating] + Instantaneous phase in radians [-π, π]. + + Examples + -------- + >>> filtered, amplitude, phase = extract_band_amplitude_phase( + ... raw_eeg, 8, 13, fs=250 + ... ) + """ + # Import here to avoid circular imports + if filter_func is None: + from filtering import bandpass_filter + filter_func = bandpass_filter + + # Filter to band + filtered = filter_func(signal_data, low_freq, high_freq, fs) + + # Compute analytic signal + analytic = hilbert(filtered) + + # Extract amplitude and phase + amplitude = np.abs(analytic) + phase = np.angle(analytic) + + return filtered, amplitude, phase diff --git a/ConnectivityMetricsTutorials-main/src/hyperscanning.py b/ConnectivityMetricsTutorials-main/src/hyperscanning.py new file mode 100644 index 0000000..f7488a8 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/hyperscanning.py @@ -0,0 +1,724 @@ +"""Hyperscanning utilities for dual-brain connectivity analysis. + +This module provides functions for organizing and analyzing hyperscanning data, +including data structure creation, connectivity block extraction, and +pseudo-pair analysis for statistical validation. +""" + +from typing import Any, Dict, List, Optional, Tuple + +import numpy as np +from numpy.typing import NDArray + + +def create_hyperscanning_data_structure( + data_p1: NDArray[np.float64], + data_p2: NDArray[np.float64], + channel_names_p1: List[str], + channel_names_p2: List[str], +) -> Dict[str, Any]: + """Create a unified data structure for hyperscanning analysis. + + Combines data from two participants into a single structure with + prefixed channel names (P1_, P2_) for clear identification. + + Parameters + ---------- + data_p1 : NDArray[np.float64] + EEG data from participant 1, shape (n_channels_p1, n_samples). + data_p2 : NDArray[np.float64] + EEG data from participant 2, shape (n_channels_p2, n_samples). + channel_names_p1 : List[str] + Channel names for participant 1. + channel_names_p2 : List[str] + Channel names for participant 2. + + Returns + ------- + Dict[str, Any] + Dictionary containing: + - "data_combined": Combined data array (n_total_channels, n_samples) + - "channel_names": List of prefixed channel names + - "n_channels_p1": Number of channels for P1 + - "n_channels_p2": Number of channels for P2 + - "participant_labels": Array of participant IDs (1 or 2) + + Raises + ------ + ValueError + If data dimensions don't match channel names or sample counts differ. + + Examples + -------- + >>> data_p1 = np.random.randn(4, 1000) + >>> data_p2 = np.random.randn(4, 1000) + >>> channels = ["Fz", "Cz", "Pz", "Oz"] + >>> result = create_hyperscanning_data_structure( + ... data_p1, data_p2, channels, channels + ... ) + >>> result["data_combined"].shape + (8, 1000) + """ + # Validate inputs + if data_p1.shape[0] != len(channel_names_p1): + raise ValueError( + f"P1 data has {data_p1.shape[0]} channels but " + f"{len(channel_names_p1)} channel names provided" + ) + if data_p2.shape[0] != len(channel_names_p2): + raise ValueError( + f"P2 data has {data_p2.shape[0]} channels but " + f"{len(channel_names_p2)} channel names provided" + ) + if data_p1.shape[1] != data_p2.shape[1]: + raise ValueError( + f"Sample counts differ: P1 has {data_p1.shape[1]}, " + f"P2 has {data_p2.shape[1]}" + ) + + n_channels_p1 = data_p1.shape[0] + n_channels_p2 = data_p2.shape[0] + + # Combine data + data_combined = np.vstack([data_p1, data_p2]) + + # Create prefixed channel names + channel_names = [f"P1_{ch}" for ch in channel_names_p1] + [ + f"P2_{ch}" for ch in channel_names_p2 + ] + + # Create participant labels + participant_labels = np.array( + [1] * n_channels_p1 + [2] * n_channels_p2, dtype=np.int8 + ) + + return { + "data_combined": data_combined, + "channel_names": channel_names, + "n_channels_p1": n_channels_p1, + "n_channels_p2": n_channels_p2, + "participant_labels": participant_labels, + } + + +def extract_connectivity_blocks( + full_matrix: NDArray[np.float64], + n_channels_p1: int, +) -> Dict[str, NDArray[np.float64]]: + """Extract connectivity blocks from a combined hyperscanning matrix. + + Separates a full (n_p1 + n_p2) x (n_p1 + n_p2) connectivity matrix + into within-participant and between-participant blocks. + + Parameters + ---------- + full_matrix : NDArray[np.float64] + Full connectivity matrix, shape (n_total, n_total). + n_channels_p1 : int + Number of channels for participant 1. + + Returns + ------- + Dict[str, NDArray[np.float64]] + Dictionary containing: + - "within_p1": Connectivity within P1, shape (n_p1, n_p1) + - "within_p2": Connectivity within P2, shape (n_p2, n_p2) + - "between": Connectivity between P1 and P2, shape (n_p1, n_p2) + + Examples + -------- + >>> matrix = np.random.rand(8, 8) + >>> blocks = extract_connectivity_blocks(matrix, n_channels_p1=4) + >>> blocks["within_p1"].shape + (4, 4) + >>> blocks["between"].shape + (4, 4) + """ + n_total = full_matrix.shape[0] + n_channels_p2 = n_total - n_channels_p1 + + within_p1 = full_matrix[:n_channels_p1, :n_channels_p1] + within_p2 = full_matrix[n_channels_p1:, n_channels_p1:] + between = full_matrix[:n_channels_p1, n_channels_p1:] + + return { + "within_p1": within_p1, + "within_p2": within_p2, + "between": between, + } + + +def combine_connectivity_blocks( + within_p1: NDArray[np.float64], + within_p2: NDArray[np.float64], + between: NDArray[np.float64], +) -> NDArray[np.float64]: + """Combine connectivity blocks into a full hyperscanning matrix. + + Reconstructs a full (n_p1 + n_p2) x (n_p1 + n_p2) matrix from + the within-participant and between-participant blocks. + + Parameters + ---------- + within_p1 : NDArray[np.float64] + Connectivity within P1, shape (n_p1, n_p1). + within_p2 : NDArray[np.float64] + Connectivity within P2, shape (n_p2, n_p2). + between : NDArray[np.float64] + Connectivity between P1 and P2, shape (n_p1, n_p2). + + Returns + ------- + NDArray[np.float64] + Full connectivity matrix, shape (n_p1 + n_p2, n_p1 + n_p2). + + Examples + -------- + >>> within_p1 = np.eye(4) + >>> within_p2 = np.eye(4) + >>> between = np.ones((4, 4)) * 0.5 + >>> full = combine_connectivity_blocks(within_p1, within_p2, between) + >>> full.shape + (8, 8) + """ + n_p1 = within_p1.shape[0] + n_p2 = within_p2.shape[0] + n_total = n_p1 + n_p2 + + full_matrix = np.zeros((n_total, n_total), dtype=np.float64) + + # Fill blocks + full_matrix[:n_p1, :n_p1] = within_p1 + full_matrix[n_p1:, n_p1:] = within_p2 + full_matrix[:n_p1, n_p1:] = between + full_matrix[n_p1:, :n_p1] = between.T # Symmetric assumption + + return full_matrix + + +def create_pseudo_pairs( + participant_ids: List[str], + real_pairs: List[Tuple[str, str]], + n_pseudo: Optional[int] = None, + seed: Optional[int] = None, +) -> List[Tuple[str, str]]: + """Generate pseudo-pairs from participants who never interacted. + + Creates pairs of participants from different real pairs for use + as a null distribution in statistical testing. + + Parameters + ---------- + participant_ids : List[str] + List of all participant IDs. + real_pairs : List[Tuple[str, str]] + List of tuples representing actual interaction pairs. + n_pseudo : Optional[int] + Number of pseudo-pairs to generate. If None, generates all possible. + seed : Optional[int] + Random seed for reproducibility. + + Returns + ------- + List[Tuple[str, str]] + List of pseudo-pair tuples. + + Examples + -------- + >>> ids = ["A1", "A2", "B1", "B2", "C1", "C2"] + >>> real = [("A1", "A2"), ("B1", "B2"), ("C1", "C2")] + >>> pseudo = create_pseudo_pairs(ids, real, n_pseudo=5, seed=42) + >>> len(pseudo) + 5 + """ + if seed is not None: + np.random.seed(seed) + + # Create set of real pairs (both orderings) + real_set = set() + for p1, p2 in real_pairs: + real_set.add((p1, p2)) + real_set.add((p2, p1)) + + # Generate all possible pseudo-pairs + pseudo_pairs = [] + for i, p1 in enumerate(participant_ids): + for p2 in participant_ids[i + 1 :]: + if (p1, p2) not in real_set: + pseudo_pairs.append((p1, p2)) + + # Subsample if requested + if n_pseudo is not None and n_pseudo < len(pseudo_pairs): + indices = np.random.choice(len(pseudo_pairs), n_pseudo, replace=False) + pseudo_pairs = [pseudo_pairs[i] for i in indices] + + return pseudo_pairs + + +def compute_pseudo_pair_null( + connectivity_values: Dict[Tuple[str, str], float], + real_pairs: List[Tuple[str, str]], +) -> Dict[str, Any]: + """Build null distribution from pseudo-pair connectivity values. + + Parameters + ---------- + connectivity_values : Dict[Tuple[str, str], float] + Dictionary mapping pair IDs to connectivity values. + real_pairs : List[Tuple[str, str]] + List of real interaction pairs. + + Returns + ------- + Dict[str, Any] + Dictionary containing: + - "null_distribution": Array of pseudo-pair values + - "null_mean": Mean of null distribution + - "null_std": Standard deviation of null distribution + - "real_values": Array of real pair values + - "real_mean": Mean of real pairs + + Examples + -------- + >>> values = {("A", "B"): 0.8, ("C", "D"): 0.7, ("A", "C"): 0.3} + >>> real = [("A", "B"), ("C", "D")] + >>> result = compute_pseudo_pair_null(values, real) + >>> result["null_mean"] + 0.3 + """ + real_set = set(real_pairs) | {(p2, p1) for p1, p2 in real_pairs} + + null_values = [] + real_values = [] + + for pair, value in connectivity_values.items(): + if pair in real_set: + real_values.append(value) + else: + null_values.append(value) + + null_array = np.array(null_values) + real_array = np.array(real_values) + + return { + "null_distribution": null_array, + "null_mean": float(np.mean(null_array)) if len(null_array) > 0 else np.nan, + "null_std": float(np.std(null_array)) if len(null_array) > 0 else np.nan, + "real_values": real_array, + "real_mean": float(np.mean(real_array)) if len(real_array) > 0 else np.nan, + } + + +def test_against_pseudo_pairs( + real_value: float, + null_distribution: NDArray[np.float64], +) -> Dict[str, float]: + """Test a real pair value against the pseudo-pair null distribution. + + Computes p-value, z-score, and percentile for a real pair's + connectivity value relative to the null distribution. + + Parameters + ---------- + real_value : float + Connectivity value from a real pair. + null_distribution : NDArray[np.float64] + Array of connectivity values from pseudo-pairs. + + Returns + ------- + Dict[str, float] + Dictionary containing: + - "pvalue": One-tailed p-value (proportion of null >= real) + - "zscore": Z-score relative to null distribution + - "percentile": Percentile of real value in null distribution + + Examples + -------- + >>> null = np.random.normal(0.3, 0.1, 100) + >>> result = test_against_pseudo_pairs(0.6, null) + >>> result["pvalue"] < 0.05 + True + """ + null_mean = np.mean(null_distribution) + null_std = np.std(null_distribution) + + # Z-score + zscore = (real_value - null_mean) / null_std if null_std > 0 else 0.0 + + # One-tailed p-value (testing if real > null) + pvalue = np.mean(null_distribution >= real_value) + + # Percentile + percentile = np.mean(null_distribution <= real_value) * 100 + + return { + "pvalue": float(pvalue), + "zscore": float(zscore), + "percentile": float(percentile), + } + + +def synchronize_recordings( + data_p1: NDArray[np.float64], + data_p2: NDArray[np.float64], + timestamps_p1: NDArray[np.float64], + timestamps_p2: NDArray[np.float64], + target_fs: float, +) -> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: + """Synchronize two recordings to a common time base. + + Interpolates both recordings to a shared timeline with uniform + sampling rate. Essential for hyperscanning when recordings + have different start times or sampling rates. + + Parameters + ---------- + data_p1 : NDArray[np.float64] + EEG data from participant 1, shape (n_channels, n_samples). + data_p2 : NDArray[np.float64] + EEG data from participant 2, shape (n_channels, n_samples). + timestamps_p1 : NDArray[np.float64] + Timestamps for P1 samples (in seconds). + timestamps_p2 : NDArray[np.float64] + Timestamps for P2 samples (in seconds). + target_fs : float + Target sampling frequency (Hz). + + Returns + ------- + Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]] + Tuple of (synchronized_p1, synchronized_p2, common_timestamps). + + Examples + -------- + >>> data1 = np.random.randn(4, 1000) + >>> data2 = np.random.randn(4, 1000) + >>> t1 = np.linspace(0, 10, 1000) + >>> t2 = np.linspace(0.1, 10.1, 1000) # Offset by 0.1s + >>> sync1, sync2, t_common = synchronize_recordings( + ... data1, data2, t1, t2, target_fs=100 + ... ) + >>> sync1.shape == sync2.shape + True + """ + from scipy.interpolate import interp1d + + # Find common time range + t_start = max(timestamps_p1[0], timestamps_p2[0]) + t_end = min(timestamps_p1[-1], timestamps_p2[-1]) + + # Create common time base + n_samples = int((t_end - t_start) * target_fs) + common_timestamps = np.linspace(t_start, t_end, n_samples) + + # Interpolate P1 + n_channels_p1 = data_p1.shape[0] + sync_p1 = np.zeros((n_channels_p1, n_samples), dtype=np.float64) + for ch in range(n_channels_p1): + interp_func = interp1d( + timestamps_p1, data_p1[ch, :], kind="linear", fill_value="extrapolate" + ) + sync_p1[ch, :] = interp_func(common_timestamps) + + # Interpolate P2 + n_channels_p2 = data_p2.shape[0] + sync_p2 = np.zeros((n_channels_p2, n_samples), dtype=np.float64) + for ch in range(n_channels_p2): + interp_func = interp1d( + timestamps_p2, data_p2[ch, :], kind="linear", fill_value="extrapolate" + ) + sync_p2[ch, :] = interp_func(common_timestamps) + + return sync_p1, sync_p2, common_timestamps + + +def check_synchronization( + trigger_p1: NDArray[np.float64], + trigger_p2: NDArray[np.float64], + tolerance_samples: int = 5, +) -> Dict[str, Any]: + """Verify that two recordings are properly synchronized. + + Compares trigger channels from both participants to check + temporal alignment. Triggers should occur at the same time + in both recordings. + + Parameters + ---------- + trigger_p1 : NDArray[np.float64] + Trigger channel from participant 1. + trigger_p2 : NDArray[np.float64] + Trigger channel from participant 2. + tolerance_samples : int, optional + Maximum allowed offset in samples, by default 5. + + Returns + ------- + Dict[str, Any] + Dictionary containing: + - "is_synchronized": Whether recordings are synchronized + - "max_offset": Maximum offset found (samples) + - "mean_offset": Mean offset (samples) + - "n_triggers_matched": Number of matched triggers + + Examples + -------- + >>> trigger1 = np.zeros(1000) + >>> trigger1[[100, 300, 500]] = 1 + >>> trigger2 = np.zeros(1000) + >>> trigger2[[101, 301, 501]] = 1 # 1 sample offset + >>> result = check_synchronization(trigger1, trigger2) + >>> result["is_synchronized"] + True + """ + # Find trigger onsets + threshold = 0.5 * max(np.max(trigger_p1), np.max(trigger_p2)) + + onsets_p1 = np.where(np.diff(trigger_p1 > threshold) > 0)[0] + onsets_p2 = np.where(np.diff(trigger_p2 > threshold) > 0)[0] + + if len(onsets_p1) == 0 or len(onsets_p2) == 0: + return { + "is_synchronized": False, + "max_offset": np.nan, + "mean_offset": np.nan, + "n_triggers_matched": 0, + "message": "No triggers found in one or both recordings", + } + + # Match triggers and compute offsets + offsets = [] + n_matched = 0 + + for onset_p1 in onsets_p1: + # Find closest trigger in P2 + distances = np.abs(onsets_p2 - onset_p1) + closest_idx = np.argmin(distances) + offset = onsets_p2[closest_idx] - onset_p1 + + if np.abs(offset) <= tolerance_samples * 2: # Allow some slack for matching + offsets.append(offset) + n_matched += 1 + + if len(offsets) == 0: + return { + "is_synchronized": False, + "max_offset": np.nan, + "mean_offset": np.nan, + "n_triggers_matched": 0, + "message": "No matching triggers found within tolerance", + } + + offsets = np.array(offsets) + max_offset = int(np.max(np.abs(offsets))) + mean_offset = float(np.mean(offsets)) + + is_synchronized = max_offset <= tolerance_samples + + return { + "is_synchronized": is_synchronized, + "max_offset": max_offset, + "mean_offset": mean_offset, + "n_triggers_matched": n_matched, + } + + +def reject_epochs_both_participants( + epochs_p1: NDArray[np.float64], + epochs_p2: NDArray[np.float64], + threshold_uv: float = 100.0, +) -> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.bool_]]: + """Reject epochs where either participant has artifacts. + + For hyperscanning analysis, epochs must be clean for BOTH + participants. This function identifies and removes epochs + where either participant exceeds the amplitude threshold. + + Parameters + ---------- + epochs_p1 : NDArray[np.float64] + Epoched data for P1, shape (n_epochs, n_channels, n_samples). + epochs_p2 : NDArray[np.float64] + Epoched data for P2, shape (n_epochs, n_channels, n_samples). + threshold_uv : float, optional + Amplitude threshold in microvolts, by default 100.0. + + Returns + ------- + Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.bool_]] + Tuple of (clean_epochs_p1, clean_epochs_p2, keep_mask). + + Examples + -------- + >>> epochs1 = np.random.randn(100, 4, 256) * 20 # Normal amplitude + >>> epochs2 = np.random.randn(100, 4, 256) * 20 + >>> epochs1[5, 0, :] = 200 # Artifact in epoch 5 + >>> clean1, clean2, mask = reject_epochs_both_participants(epochs1, epochs2) + >>> mask[5] + False + """ + n_epochs = epochs_p1.shape[0] + + # Find max amplitude per epoch for each participant + max_amp_p1 = np.max(np.abs(epochs_p1), axis=(1, 2)) + max_amp_p2 = np.max(np.abs(epochs_p2), axis=(1, 2)) + + # Keep epoch only if BOTH participants are below threshold + keep_p1 = max_amp_p1 < threshold_uv + keep_p2 = max_amp_p2 < threshold_uv + keep_mask = keep_p1 & keep_p2 + + # Apply mask + clean_epochs_p1 = epochs_p1[keep_mask] + clean_epochs_p2 = epochs_p2[keep_mask] + + n_rejected = n_epochs - np.sum(keep_mask) + if n_rejected > 0: + print( + f"Rejected {n_rejected}/{n_epochs} epochs " + f"({100 * n_rejected / n_epochs:.1f}%)" + ) + + return clean_epochs_p1, clean_epochs_p2, keep_mask + + +def hyperscanning_analysis_pipeline( + data_p1: NDArray[np.float64], + data_p2: NDArray[np.float64], + fs: float, + channel_names: List[str], + freq_band: Tuple[float, float], + n_surrogates: int = 100, +) -> Dict[str, Any]: + """Run a complete hyperscanning connectivity analysis pipeline. + + Performs filtering, connectivity computation, and statistical + testing in one function. This is a demonstration/convenience + function - for production, run steps separately with more control. + + Parameters + ---------- + data_p1 : NDArray[np.float64] + EEG data from participant 1, shape (n_channels, n_samples). + data_p2 : NDArray[np.float64] + EEG data from participant 2, shape (n_channels, n_samples). + fs : float + Sampling frequency (Hz). + channel_names : List[str] + Channel names (same for both participants). + freq_band : Tuple[float, float] + Frequency band of interest (low, high) in Hz. + n_surrogates : int, optional + Number of surrogates for statistical testing, by default 100. + + Returns + ------- + Dict[str, Any] + Dictionary containing: + - "connectivity_within_p1": Within-P1 connectivity matrix + - "connectivity_within_p2": Within-P2 connectivity matrix + - "connectivity_between": Between-brain connectivity matrix + - "connectivity_full": Full combined matrix + - "surrogate_mean": Mean of surrogate distribution + - "surrogate_std": Std of surrogate distribution + - "pvalues": P-values for between-brain connections + - "significant_mask": Boolean mask of significant connections + - "summary": Summary statistics dictionary + + Notes + ----- + This function uses simple correlation as the connectivity metric. + For other metrics (PLV, coherence), use the specific functions + from the connectivity module. + + Examples + -------- + >>> data1 = np.random.randn(4, 10000) + >>> data2 = np.random.randn(4, 10000) + >>> channels = ["Fz", "Cz", "Pz", "Oz"] + >>> results = hyperscanning_analysis_pipeline( + ... data1, data2, fs=256, channel_names=channels, + ... freq_band=(8, 13), n_surrogates=50 + ... ) + >>> results["connectivity_between"].shape + (4, 4) + """ + from scipy.signal import butter, filtfilt + from scipy.stats import pearsonr + + n_channels = data_p1.shape[0] + + # Step 1: Bandpass filter + low, high = freq_band + nyq = fs / 2 + b, a = butter(4, [low / nyq, high / nyq], btype="band") + + filtered_p1 = filtfilt(b, a, data_p1, axis=1) + filtered_p2 = filtfilt(b, a, data_p2, axis=1) + + # Step 2: Compute connectivity (using correlation) + def compute_correlation_matrix( + data1: NDArray[np.float64], data2: NDArray[np.float64] + ) -> NDArray[np.float64]: + n1, n2 = data1.shape[0], data2.shape[0] + corr_mat = np.zeros((n1, n2)) + for i in range(n1): + for j in range(n2): + corr_mat[i, j], _ = pearsonr(data1[i], data2[j]) + return np.abs(corr_mat) # Use absolute correlation + + within_p1 = compute_correlation_matrix(filtered_p1, filtered_p1) + within_p2 = compute_correlation_matrix(filtered_p2, filtered_p2) + between = compute_correlation_matrix(filtered_p1, filtered_p2) + + # Combine into full matrix + full_matrix = combine_connectivity_blocks(within_p1, within_p2, between) + + # Step 3: Surrogate testing (phase shuffling) + surrogate_between = np.zeros((n_surrogates, n_channels, n_channels)) + + for s in range(n_surrogates): + # Shuffle phases of P2 + shuffled_p2 = np.zeros_like(filtered_p2) + for ch in range(n_channels): + fft_result = np.fft.fft(filtered_p2[ch]) + phases = np.angle(fft_result) + np.random.shuffle(phases) + shuffled_fft = np.abs(fft_result) * np.exp(1j * phases) + shuffled_p2[ch] = np.real(np.fft.ifft(shuffled_fft)) + + surrogate_between[s] = compute_correlation_matrix(filtered_p1, shuffled_p2) + + # Compute p-values + surrogate_mean = np.mean(surrogate_between, axis=0) + surrogate_std = np.std(surrogate_between, axis=0) + + pvalues = np.zeros((n_channels, n_channels)) + for i in range(n_channels): + for j in range(n_channels): + pvalues[i, j] = np.mean(surrogate_between[:, i, j] >= between[i, j]) + + # Significant connections (p < 0.05) + significant_mask = pvalues < 0.05 + + # Summary statistics + summary = { + "mean_within_p1": float(np.mean(within_p1[np.triu_indices(n_channels, k=1)])), + "mean_within_p2": float(np.mean(within_p2[np.triu_indices(n_channels, k=1)])), + "mean_between": float(np.mean(between)), + "n_significant": int(np.sum(significant_mask)), + "percent_significant": float(100 * np.sum(significant_mask) / between.size), + } + + return { + "connectivity_within_p1": within_p1, + "connectivity_within_p2": within_p2, + "connectivity_between": between, + "connectivity_full": full_matrix, + "surrogate_mean": surrogate_mean, + "surrogate_std": surrogate_std, + "pvalues": pvalues, + "significant_mask": significant_mask, + "summary": summary, + } diff --git a/ConnectivityMetricsTutorials-main/src/information.py b/ConnectivityMetricsTutorials-main/src/information.py new file mode 100644 index 0000000..eea6ca4 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/information.py @@ -0,0 +1,1523 @@ +""" +Information theory functions for entropy, mutual information, and transfer entropy. + +This module provides functions for computing various entropy, mutual information, +and transfer entropy measures used in signal analysis and connectivity metrics. + +Functions +--------- +Entropy Functions: + compute_entropy_discrete + Compute Shannon entropy of a discrete probability distribution. + compute_entropy_from_counts + Estimate entropy from observed counts. + compute_max_entropy + Compute maximum possible entropy for n states. + compute_normalized_entropy + Compute entropy normalized by maximum (range 0-1). + binary_entropy + Compute binary entropy function H(p). + optimal_n_bins + Compute optimal number of bins for entropy estimation. + compute_entropy_continuous + Estimate entropy of a continuous signal via binning. + compute_entropy_miller_madow + Compute entropy with Miller-Madow bias correction. + compute_spectral_entropy + Compute spectral entropy of a signal. + compute_sample_entropy + Compute sample entropy of a time series. + +Mutual Information Functions: + compute_joint_histogram + Compute 2D histogram for joint probability estimation. + compute_joint_entropy + Compute joint entropy H(X, Y) of two signals. + compute_conditional_entropy + Compute conditional entropy H(Y|X). + compute_mutual_information + Compute mutual information I(X; Y) between two signals. + compute_normalized_mi + Compute normalized mutual information (range 0-1). + mi_significance_test + Test MI significance using surrogate data. + compute_mi_sliding_window + Compute MI in sliding windows for time-varying analysis. + compute_time_lagged_mi + Compute MI at different time lags for directionality. + compute_mi_matrix + Compute MI connectivity matrix for multiple signals. + +Transfer Entropy Functions: + create_embedding_vectors + Create embedded state vectors for TE computation. + compute_transfer_entropy + Compute directed transfer entropy from X to Y. + compute_net_transfer_entropy + Compute TE in both directions and net flow. + compute_te_surrogate + Compute TE with shuffled source (null hypothesis). + te_significance_test + Test TE significance using surrogate distribution. + compute_te_matrix + Compute directed TE matrix for multi-channel data. + compute_net_te_matrix + Compute net TE matrix (antisymmetric). + compute_te_hyperscanning + Compute inter-brain TE for hyperscanning analysis. +""" + +import numpy as np +from numpy.typing import NDArray +from typing import Tuple, Optional, Union +from scipy.signal import welch + + +def compute_entropy_discrete( + probabilities: NDArray[np.float64], + base: float = 2.0 +) -> float: + """ + Compute Shannon entropy of a discrete probability distribution. + + Parameters + ---------- + probabilities : NDArray[np.float64] + Probability distribution (must sum to 1). + base : float, optional + Logarithm base. Use 2 for bits, np.e for nats. Default is 2. + + Returns + ------- + float + Shannon entropy of the distribution. + + Examples + -------- + >>> compute_entropy_discrete(np.array([0.5, 0.5])) + 1.0 # Fair coin = 1 bit + >>> compute_entropy_discrete(np.array([0.25, 0.25, 0.25, 0.25])) + 2.0 # Uniform over 4 states = 2 bits + """ + # Ensure probabilities sum to 1 (with tolerance) + assert np.abs(np.sum(probabilities) - 1.0) < 1e-9, "Probabilities must sum to 1" + + # Filter out zeros to avoid log(0) + p = probabilities[probabilities > 0] + + # Compute entropy + if base == np.e: + entropy = -np.sum(p * np.log(p)) + else: + entropy = -np.sum(p * np.log(p) / np.log(base)) + + return float(entropy) + + +def compute_entropy_from_counts( + counts: NDArray[np.int64], + base: float = 2.0 +) -> float: + """ + Estimate entropy from observed counts. + + Parameters + ---------- + counts : NDArray[np.int64] + Count of observations for each outcome. + base : float, optional + Logarithm base. Default is 2 (bits). + + Returns + ------- + float + Estimated Shannon entropy. + + Examples + -------- + >>> compute_entropy_from_counts(np.array([50, 50])) + 1.0 # Equal counts = 1 bit + """ + # Convert counts to probabilities + total = np.sum(counts) + if total == 0: + return 0.0 + + probabilities = counts / total + return compute_entropy_discrete(probabilities, base) + + +def compute_max_entropy(n_states: int, base: float = 2.0) -> float: + """ + Compute maximum possible entropy for n states. + + The maximum entropy is achieved when all states are equally likely + (uniform distribution). + + Parameters + ---------- + n_states : int + Number of possible states/outcomes. + base : float, optional + Logarithm base. Default is 2 (bits). + + Returns + ------- + float + Maximum entropy = log(n_states). + + Examples + -------- + >>> compute_max_entropy(2) + 1.0 # log2(2) = 1 bit + >>> compute_max_entropy(8) + 3.0 # log2(8) = 3 bits + """ + if n_states <= 0: + raise ValueError("n_states must be positive") + + if base == np.e: + return float(np.log(n_states)) + else: + return float(np.log(n_states) / np.log(base)) + + +def compute_normalized_entropy( + probabilities: NDArray[np.float64], + base: float = 2.0 +) -> float: + """ + Compute entropy normalized by maximum (range 0-1). + + Parameters + ---------- + probabilities : NDArray[np.float64] + Probability distribution. + base : float, optional + Logarithm base. Default is 2. + + Returns + ------- + float + Normalized entropy in range [0, 1]. + 0 = deterministic, 1 = maximum uncertainty. + + Examples + -------- + >>> compute_normalized_entropy(np.array([0.5, 0.5])) + 1.0 # Maximum entropy for 2 states + >>> compute_normalized_entropy(np.array([1.0, 0.0])) + 0.0 # Deterministic + """ + n_states = len(probabilities) + if n_states <= 1: + return 0.0 + + H = compute_entropy_discrete(probabilities, base) + H_max = compute_max_entropy(n_states, base) + + return H / H_max if H_max > 0 else 0.0 + + +def binary_entropy(p: Union[float, NDArray[np.float64]]) -> Union[float, NDArray[np.float64]]: + """ + Compute binary entropy function H(p) in bits. + + The binary entropy function gives the entropy of a Bernoulli + random variable with probability p. + + Parameters + ---------- + p : float or NDArray + Probability value(s) in range [0, 1]. + + Returns + ------- + float or NDArray + Binary entropy H(p) = -p*log2(p) - (1-p)*log2(1-p). + + Examples + -------- + >>> binary_entropy(0.5) + 1.0 # Maximum at p=0.5 + >>> binary_entropy(0.0) + 0.0 # Deterministic + """ + p = np.asarray(p) + + # Handle edge cases + result = np.zeros_like(p, dtype=float) + + # Only compute for valid probabilities (not 0 or 1) + valid = (p > 0) & (p < 1) + p_valid = p[valid] + result[valid] = -p_valid * np.log2(p_valid) - (1 - p_valid) * np.log2(1 - p_valid) + + # Return scalar if input was scalar + if result.ndim == 0: + return float(result) + return result + + +def optimal_n_bins(n_samples: int, method: str = "sturges") -> int: + """ + Compute optimal number of bins for entropy estimation. + + Parameters + ---------- + n_samples : int + Number of data samples. + method : str, optional + Method for determining bins: + - "sturges": 1 + log2(n) (default, good for normal distributions) + - "sqrt": sqrt(n) (simple rule) + - "rice": 2 * n^(1/3) (better for larger datasets) + + Returns + ------- + int + Recommended number of bins. + + Examples + -------- + >>> optimal_n_bins(1000, "sturges") + 11 + >>> optimal_n_bins(1000, "sqrt") + 32 + """ + if n_samples <= 0: + raise ValueError("n_samples must be positive") + + if method == "sturges": + return max(1, int(np.ceil(1 + np.log2(n_samples)))) + elif method == "sqrt": + return max(1, int(np.ceil(np.sqrt(n_samples)))) + elif method == "rice": + return max(1, int(np.ceil(2 * n_samples ** (1/3)))) + else: + raise ValueError(f"Unknown method: {method}. Use 'sturges', 'sqrt', or 'rice'.") + + +def compute_entropy_continuous( + signal: NDArray[np.float64], + n_bins: Union[int, str] = "auto", + method: str = "uniform" +) -> Tuple[float, int]: + """ + Estimate entropy of a continuous signal via binning. + + Parameters + ---------- + signal : NDArray[np.float64] + Continuous signal to analyze. + n_bins : int or str, optional + Number of bins, or "auto"/"sturges"/"sqrt" for automatic. + Default is "auto" (uses Sturges' rule). + method : str, optional + Binning method: + - "uniform": Equal width bins (default) + - "equiprobable": Equal count bins + + Returns + ------- + Tuple[float, int] + (entropy in bits, actual number of bins used) + + Examples + -------- + >>> signal = np.random.randn(1000) + >>> H, n_bins = compute_entropy_continuous(signal) + """ + n_samples = len(signal) + + # Determine number of bins + if isinstance(n_bins, str): + if n_bins == "auto" or n_bins == "sturges": + actual_bins = optimal_n_bins(n_samples, "sturges") + elif n_bins == "sqrt": + actual_bins = optimal_n_bins(n_samples, "sqrt") + else: + actual_bins = optimal_n_bins(n_samples, "sturges") + else: + actual_bins = int(n_bins) + + # Compute histogram + if method == "uniform": + counts, _ = np.histogram(signal, bins=actual_bins) + elif method == "equiprobable": + # Create bins with equal number of samples + percentiles = np.linspace(0, 100, actual_bins + 1) + bin_edges = np.percentile(signal, percentiles) + counts, _ = np.histogram(signal, bins=bin_edges) + else: + raise ValueError(f"Unknown method: {method}") + + # Compute entropy from counts + entropy = compute_entropy_from_counts(counts) + + return entropy, actual_bins + + +def compute_entropy_miller_madow( + signal: NDArray[np.float64], + n_bins: int, + base: float = 2.0 +) -> float: + """ + Compute entropy with Miller-Madow bias correction. + + The Miller-Madow correction adds (m-1)/(2n) to the raw entropy + estimate, where m is the number of non-empty bins and n is the + sample size. + + Parameters + ---------- + signal : NDArray[np.float64] + Continuous signal to analyze. + n_bins : int + Number of bins for discretization. + base : float, optional + Logarithm base. Default is 2 (bits). + + Returns + ------- + float + Bias-corrected entropy estimate. + + Examples + -------- + >>> signal = np.random.uniform(0, 1, 100) + >>> H_corrected = compute_entropy_miller_madow(signal, n_bins=20) + """ + n_samples = len(signal) + + # Compute histogram + counts, _ = np.histogram(signal, bins=n_bins) + + # Number of non-empty bins + m = np.sum(counts > 0) + + # Raw entropy + H_raw = compute_entropy_from_counts(counts, base) + + # Miller-Madow correction + if base == np.e: + correction = (m - 1) / (2 * n_samples) + else: + correction = (m - 1) / (2 * n_samples * np.log(base)) + + return H_raw + correction + + +def compute_spectral_entropy( + signal: NDArray[np.float64], + fs: float, + nperseg: int = 256, + freq_range: Optional[Tuple[float, float]] = None, + normalize: bool = True +) -> Tuple[float, NDArray[np.float64], NDArray[np.float64]]: + """ + Compute spectral entropy of a signal. + + Spectral entropy measures how spread the power is across frequencies. + High spectral entropy indicates broadband signal (power spread), + low spectral entropy indicates narrowband signal (power concentrated). + + Parameters + ---------- + signal : NDArray[np.float64] + Time series signal. + fs : float + Sampling frequency in Hz. + nperseg : int, optional + Length of each segment for Welch's method. Default is 256. + freq_range : Tuple[float, float], optional + Frequency range (fmin, fmax) to consider. Default is None (all). + normalize : bool, optional + Whether to normalize by maximum entropy. Default is True. + + Returns + ------- + Tuple[float, NDArray, NDArray] + (spectral_entropy, frequencies, psd) + + Examples + -------- + >>> t = np.arange(0, 10, 1/256) + >>> signal = np.sin(2 * np.pi * 10 * t) # Pure sine + >>> H_spec, freqs, psd = compute_spectral_entropy(signal, fs=256) + >>> # H_spec will be low (narrowband) + """ + # Compute PSD using Welch's method + freqs, psd = welch(signal, fs=fs, nperseg=min(nperseg, len(signal))) + + # Apply frequency range if specified + if freq_range is not None: + mask = (freqs >= freq_range[0]) & (freqs <= freq_range[1]) + freqs = freqs[mask] + psd = psd[mask] + + # Normalize PSD to make it a probability distribution + psd_norm = psd / np.sum(psd) + + # Remove zeros + psd_valid = psd_norm[psd_norm > 0] + + # Compute entropy + H_spectral = -np.sum(psd_valid * np.log2(psd_valid)) + + # Normalize if requested + if normalize: + H_max = np.log2(len(psd_valid)) + if H_max > 0: + H_spectral = H_spectral / H_max + + return float(H_spectral), freqs, psd + + +def compute_sample_entropy( + signal: NDArray[np.float64], + m: int = 2, + r: Optional[float] = None +) -> float: + """ + Compute sample entropy of a time series. + + Sample entropy measures the complexity/irregularity of a signal + by comparing patterns at different time points. It does not + require binning. + + Parameters + ---------- + signal : NDArray[np.float64] + Time series signal. + m : int, optional + Embedding dimension (pattern length). Default is 2. + r : float, optional + Tolerance for pattern matching. Default is 0.2 * std(signal). + + Returns + ------- + float + Sample entropy value. + Higher values indicate more complexity/irregularity. + Lower values indicate more self-similarity/regularity. + + Notes + ----- + Computational complexity is O(n²), so use shorter signals + (e.g., 500-2000 samples) for reasonable computation time. + + Examples + -------- + >>> regular_signal = np.sin(np.linspace(0, 10*np.pi, 500)) + >>> random_signal = np.random.randn(500) + >>> se_regular = compute_sample_entropy(regular_signal) + >>> se_random = compute_sample_entropy(random_signal) + >>> # se_random > se_regular + """ + N = len(signal) + + if r is None: + r = 0.2 * np.std(signal) + + def count_matches(template_length: int) -> int: + """Count pairs of matching templates.""" + templates = np.array([ + signal[i:i + template_length] + for i in range(N - template_length) + ]) + + count = 0 + n_templates = len(templates) + + for i in range(n_templates): + for j in range(i + 1, n_templates): + # Chebyshev distance (max absolute difference) + if np.max(np.abs(templates[i] - templates[j])) <= r: + count += 1 + + return count + + # Count matches for m and m+1 + A = count_matches(m + 1) # matches for length m+1 + B = count_matches(m) # matches for length m + + # Sample entropy + if A == 0 or B == 0: + return np.inf # No matches found + + return -np.log(A / B) + + +# ============================================================================= +# MUTUAL INFORMATION FUNCTIONS +# ============================================================================= + + +def compute_joint_histogram( + x: NDArray[np.float64], + y: NDArray[np.float64], + n_bins: int = 20 +) -> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: + """ + Compute 2D histogram for joint probability estimation. + + Parameters + ---------- + x : NDArray[np.float64] + First signal. + y : NDArray[np.float64] + Second signal. + n_bins : int, optional + Number of bins for each dimension. Default is 20. + + Returns + ------- + hist_2d : NDArray[np.float64] + 2D histogram counts. + x_edges : NDArray[np.float64] + Bin edges for x. + y_edges : NDArray[np.float64] + Bin edges for y. + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = 0.5 * x + np.random.randn(1000) + >>> hist, x_edges, y_edges = compute_joint_histogram(x, y) + """ + hist_2d, x_edges, y_edges = np.histogram2d(x, y, bins=n_bins) + return hist_2d, x_edges, y_edges + + +def compute_joint_entropy( + x: NDArray[np.float64], + y: NDArray[np.float64], + n_bins: int = 20 +) -> float: + """ + Compute joint entropy H(X, Y) of two continuous signals. + + Joint entropy measures the total uncertainty of both variables + together. + + Parameters + ---------- + x : NDArray[np.float64] + First signal. + y : NDArray[np.float64] + Second signal. + n_bins : int, optional + Number of bins for discretization. Default is 20. + + Returns + ------- + float + Joint entropy H(X, Y) in bits. + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = x.copy() # Perfect correlation + >>> H_xy = compute_joint_entropy(x, y) + >>> # H_xy ≈ H(X) since Y = X + """ + hist_2d, _, _ = compute_joint_histogram(x, y, n_bins) + + # Convert to probabilities + p_xy = hist_2d / np.sum(hist_2d) + + # Compute entropy (filter zeros) + p_xy_flat = p_xy.flatten() + p_xy_valid = p_xy_flat[p_xy_flat > 0] + + H_xy = -np.sum(p_xy_valid * np.log2(p_xy_valid)) + + return float(H_xy) + + +def compute_conditional_entropy( + x: NDArray[np.float64], + y: NDArray[np.float64], + n_bins: int = 20 +) -> float: + """ + Compute conditional entropy H(Y|X). + + Conditional entropy measures how much uncertainty remains in Y + after knowing X. + + H(Y|X) = H(X, Y) - H(X) + + Parameters + ---------- + x : NDArray[np.float64] + Conditioning variable. + y : NDArray[np.float64] + Variable whose conditional entropy is computed. + n_bins : int, optional + Number of bins for discretization. Default is 20. + + Returns + ------- + float + Conditional entropy H(Y|X) in bits. + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = x + 0.1 * np.random.randn(1000) # Y depends on X + >>> H_y_given_x = compute_conditional_entropy(x, y) + >>> # H_y_given_x will be small since Y ≈ X + """ + H_xy = compute_joint_entropy(x, y, n_bins) + H_x, _ = compute_entropy_continuous(x, n_bins) + + return H_xy - H_x + + +def compute_mutual_information( + x: NDArray[np.float64], + y: NDArray[np.float64], + n_bins: int = 20 +) -> float: + """ + Compute mutual information I(X; Y) between two signals. + + MI measures how much information is shared between X and Y. + It captures both linear and non-linear dependencies. + + I(X; Y) = H(X) + H(Y) - H(X, Y) + + Parameters + ---------- + x : NDArray[np.float64] + First signal. + y : NDArray[np.float64] + Second signal. + n_bins : int, optional + Number of bins for discretization. Default is 20. + + Returns + ------- + float + Mutual information I(X; Y) in bits. + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = x**2 # Non-linear relationship + >>> mi = compute_mutual_information(x, y) + >>> corr = np.corrcoef(x, y)[0, 1] + >>> # MI will be high even though correlation ≈ 0 + """ + H_x, _ = compute_entropy_continuous(x, n_bins) + H_y, _ = compute_entropy_continuous(y, n_bins) + H_xy = compute_joint_entropy(x, y, n_bins) + + mi = H_x + H_y - H_xy + + # MI should be non-negative (numerical errors can make it slightly negative) + return float(max(0, mi)) + + +def compute_normalized_mi( + x: NDArray[np.float64], + y: NDArray[np.float64], + n_bins: int = 20, + method: str = "arithmetic" +) -> float: + """ + Compute normalized mutual information (range 0-1). + + Parameters + ---------- + x : NDArray[np.float64] + First signal. + y : NDArray[np.float64] + Second signal. + n_bins : int, optional + Number of bins for discretization. Default is 20. + method : str, optional + Normalization method: + - "arithmetic": NMI = 2 * I(X;Y) / (H(X) + H(Y)) + - "geometric": NMI = I(X;Y) / sqrt(H(X) * H(Y)) + - "min": NMI = I(X;Y) / min(H(X), H(Y)) + - "max": NMI = I(X;Y) / max(H(X), H(Y)) + Default is "arithmetic". + + Returns + ------- + float + Normalized MI in range [0, 1]. + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = x.copy() # Perfect dependence + >>> nmi = compute_normalized_mi(x, y) + >>> # nmi ≈ 1.0 + """ + H_x, _ = compute_entropy_continuous(x, n_bins) + H_y, _ = compute_entropy_continuous(y, n_bins) + mi = compute_mutual_information(x, y, n_bins) + + if method == "arithmetic": + denom = (H_x + H_y) / 2 + elif method == "geometric": + denom = np.sqrt(H_x * H_y) + elif method == "min": + denom = min(H_x, H_y) + elif method == "max": + denom = max(H_x, H_y) + else: + raise ValueError(f"Unknown method: {method}") + + if denom <= 0: + return 0.0 + + return float(min(1.0, mi / denom)) + + +def mi_significance_test( + x: NDArray[np.float64], + y: NDArray[np.float64], + n_bins: int = 20, + n_surrogates: int = 100, + alpha: float = 0.05 +) -> dict: + """ + Test MI significance using surrogate data. + + Creates shuffled surrogates to build a null distribution + of MI values under the hypothesis of independence. + + Parameters + ---------- + x : NDArray[np.float64] + First signal. + y : NDArray[np.float64] + Second signal. + n_bins : int, optional + Number of bins for MI estimation. Default is 20. + n_surrogates : int, optional + Number of shuffled surrogates. Default is 100. + alpha : float, optional + Significance level. Default is 0.05. + + Returns + ------- + dict + Dictionary with: + - 'mi_observed': Observed MI value + - 'mi_surrogates': Array of surrogate MI values + - 'p_value': Proportion of surrogates >= observed MI + - 'significant': Boolean, whether MI is significant + - 'threshold': MI threshold at (1-alpha) percentile + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = 0.5 * x + np.random.randn(1000) + >>> result = mi_significance_test(x, y) + >>> print(f"Significant: {result['significant']}") + """ + # Observed MI + mi_observed = compute_mutual_information(x, y, n_bins) + + # Generate surrogate distribution + mi_surrogates = np.zeros(n_surrogates) + + for i in range(n_surrogates): + # Shuffle one signal to break any dependency + y_shuffled = np.random.permutation(y) + mi_surrogates[i] = compute_mutual_information(x, y_shuffled, n_bins) + + # Compute p-value (proportion of surrogates >= observed) + p_value = np.mean(mi_surrogates >= mi_observed) + + # Significance threshold + threshold = np.percentile(mi_surrogates, 100 * (1 - alpha)) + + return { + 'mi_observed': mi_observed, + 'mi_surrogates': mi_surrogates, + 'p_value': p_value, + 'significant': p_value < alpha, + 'threshold': threshold + } + + +def compute_mi_sliding_window( + x: NDArray[np.float64], + y: NDArray[np.float64], + window_size: int, + step_size: int, + n_bins: int = 20 +) -> Tuple[NDArray[np.float64], NDArray[np.float64]]: + """ + Compute MI in sliding windows for time-varying analysis. + + Parameters + ---------- + x : NDArray[np.float64] + First signal. + y : NDArray[np.float64] + Second signal. + window_size : int + Window size in samples. + step_size : int + Step size between windows in samples. + n_bins : int, optional + Number of bins for MI estimation. Default is 20. + + Returns + ------- + centers : NDArray[np.float64] + Window center positions in samples. + mi_values : NDArray[np.float64] + MI value for each window. + + Examples + -------- + >>> fs = 256 + >>> t = np.arange(0, 10, 1/fs) + >>> x = np.random.randn(len(t)) + >>> y = np.random.randn(len(t)) + >>> y[fs*3:fs*7] += 0.5 * x[fs*3:fs*7] # Coupling in middle + >>> centers, mi_time = compute_mi_sliding_window(x, y, fs*2, fs//2) + """ + n_samples = len(x) + n_windows = (n_samples - window_size) // step_size + 1 + + centers = np.zeros(n_windows) + mi_values = np.zeros(n_windows) + + for i in range(n_windows): + start = i * step_size + end = start + window_size + centers[i] = (start + end) / 2 + + mi_values[i] = compute_mutual_information(x[start:end], y[start:end], n_bins) + + return centers, mi_values + + +def compute_time_lagged_mi( + x: NDArray[np.float64], + y: NDArray[np.float64], + max_lag: int, + n_bins: int = 20 +) -> Tuple[NDArray[np.int64], NDArray[np.float64]]: + """ + Compute MI at different time lags for directionality analysis. + + Parameters + ---------- + x : NDArray[np.float64] + First signal. + y : NDArray[np.float64] + Second signal. + max_lag : int + Maximum lag in samples (both positive and negative). + n_bins : int, optional + Number of bins for MI estimation. Default is 20. + + Returns + ------- + lags : NDArray[np.int64] + Array of lag values (negative = X leads, positive = Y leads). + mi_values : NDArray[np.float64] + MI values at each lag. + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = np.zeros(1000) + >>> y[10:] = x[:-10] # Y follows X with 10 sample delay + >>> lags, mi_lagged = compute_time_lagged_mi(x, y, max_lag=50) + >>> peak_lag = lags[np.argmax(mi_lagged)] + >>> # peak_lag should be around -10 (X leads) + """ + lags = np.arange(-max_lag, max_lag + 1) + mi_values = np.zeros(len(lags)) + + for i, lag in enumerate(lags): + if lag < 0: + x_shifted = x[:lag] # X leads + y_shifted = y[-lag:] + elif lag > 0: + x_shifted = x[lag:] # Y leads + y_shifted = y[:-lag] + else: + x_shifted = x + y_shifted = y + + mi_values[i] = compute_mutual_information(x_shifted, y_shifted, n_bins) + + return lags, mi_values + + +def compute_mi_matrix( + signals: NDArray[np.float64], + n_bins: int = 20, + normalize: bool = True +) -> NDArray[np.float64]: + """ + Compute MI connectivity matrix for multiple signals. + + Parameters + ---------- + signals : NDArray[np.float64] + 2D array of shape (n_channels, n_samples). + n_bins : int, optional + Number of bins for MI estimation. Default is 20. + normalize : bool, optional + If True, normalize MI to [0, 1] range. Default is True. + + Returns + ------- + mi_matrix : NDArray[np.float64] + Symmetric MI matrix of shape (n_channels, n_channels). + + Examples + -------- + >>> signals = np.random.randn(5, 1000) # 5 channels + >>> mi_matrix = compute_mi_matrix(signals) + >>> # mi_matrix[i, j] is MI between channel i and j + """ + n_channels = signals.shape[0] + mi_matrix = np.zeros((n_channels, n_channels)) + + for i in range(n_channels): + for j in range(i + 1, n_channels): + if normalize: + mi = compute_normalized_mi(signals[i], signals[j], n_bins) + else: + mi = compute_mutual_information(signals[i], signals[j], n_bins) + + mi_matrix[i, j] = mi + mi_matrix[j, i] = mi + + return mi_matrix + + +# ============================================================================= +# TRANSFER ENTROPY FUNCTIONS +# ============================================================================= + + +def create_embedding_vectors( + x: NDArray[np.float64], + y: NDArray[np.float64], + k: int = 1, + l: int = 1, + tau: int = 1 +) -> Tuple[NDArray[np.float64], NDArray[np.float64], NDArray[np.float64]]: + """ + Create embedded state vectors for transfer entropy computation. + + Parameters + ---------- + x : NDArray[np.float64] + Source signal. + y : NDArray[np.float64] + Target signal. + k : int, optional + History length for target Y. Default is 1. + l : int, optional + History length for source X. Default is 1. + tau : int, optional + Embedding delay in samples. Default is 1. + + Returns + ------- + y_future : NDArray[np.float64] + Future values of Y, shape (n_valid,). + y_past : NDArray[np.float64] + Past values of Y, shape (n_valid, k). + x_past : NDArray[np.float64] + Past values of X, shape (n_valid, l). + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = np.random.randn(1000) + >>> y_fut, y_past, x_past = create_embedding_vectors(x, y, k=2, l=2, tau=5) + """ + n = len(x) + + # Determine valid range + max_history = max(k, l) * tau + start_idx = max_history + + n_valid = n - start_idx + + # Initialize arrays + y_future = np.zeros(n_valid) + y_past = np.zeros((n_valid, k)) + x_past = np.zeros((n_valid, l)) + + for i in range(n_valid): + t = start_idx + i + y_future[i] = y[t] + + # Y past: [y(t-tau), y(t-2*tau), ..., y(t-k*tau)] + for j in range(k): + y_past[i, j] = y[t - (j + 1) * tau] + + # X past: [x(t-tau), x(t-2*tau), ..., x(t-l*tau)] + for j in range(l): + x_past[i, j] = x[t - (j + 1) * tau] + + return y_future, y_past, x_past + + +def compute_transfer_entropy( + x: NDArray[np.float64], + y: NDArray[np.float64], + k: int = 1, + l: int = 1, + tau: int = 1, + n_bins: int = 8 +) -> float: + """ + Compute transfer entropy from X to Y. + + Transfer entropy measures the directed information flow from X to Y, + quantifying how much knowing X's past helps predict Y's future, + beyond what Y's past already tells us. + + TE_{X→Y} = I(Y_t; X_past | Y_past) + = H(Y_t | Y_past) - H(Y_t | Y_past, X_past) + + Parameters + ---------- + x : NDArray[np.float64] + Source signal. + y : NDArray[np.float64] + Target signal. + k : int, optional + History length for target Y. Default is 1. + l : int, optional + History length for source X. Default is 1. + tau : int, optional + Embedding delay in samples. Default is 1. + n_bins : int, optional + Number of bins for discretization. Default is 8. + + Returns + ------- + float + Transfer entropy from X to Y in bits. + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = np.zeros(1000) + >>> y[10:] = 0.5 * x[:-10] + 0.5 * np.random.randn(990) # Y follows X + >>> te_xy = compute_transfer_entropy(x, y, k=1, l=1, tau=10) + >>> te_yx = compute_transfer_entropy(y, x, k=1, l=1, tau=10) + >>> # te_xy > te_yx (X drives Y) + """ + # Create embedding vectors + y_future, y_past, x_past = create_embedding_vectors(x, y, k, l, tau) + + n_samples = len(y_future) + + # Discretize all variables + def discretize(arr: NDArray[np.float64]) -> NDArray[np.int64]: + """Discretize array into bins.""" + if arr.ndim == 1: + arr = arr.reshape(-1, 1) + + result = np.zeros(arr.shape, dtype=np.int64) + for col in range(arr.shape[1]): + percentiles = np.linspace(0, 100, n_bins + 1) + bin_edges = np.percentile(arr[:, col], percentiles) + result[:, col] = np.digitize(arr[:, col], bin_edges[1:-1]) + + return result + + y_fut_d = discretize(y_future).flatten() + y_past_d = discretize(y_past) + x_past_d = discretize(x_past) + + # Convert multi-dimensional indices to single index + def to_single_index(arr: NDArray[np.int64]) -> NDArray[np.int64]: + """Convert multi-column discrete array to single index.""" + if arr.ndim == 1: + return arr + result = np.zeros(len(arr), dtype=np.int64) + multiplier = 1 + for col in range(arr.shape[1] - 1, -1, -1): + result += arr[:, col] * multiplier + multiplier *= n_bins + return result + + y_past_idx = to_single_index(y_past_d) + x_past_idx = to_single_index(x_past_d) + + # Combined index for (y_past, x_past) + yx_past_idx = y_past_idx * (n_bins ** l) + x_past_idx + + # Compute conditional entropies + def entropy_from_joint(idx1: NDArray[np.int64], idx2: NDArray[np.int64]) -> float: + """Compute H(idx1 | idx2) = H(idx1, idx2) - H(idx2).""" + joint = np.ravel_multi_index( + (idx1, idx2), + (int(idx1.max()) + 1, int(idx2.max()) + 1) + ) + _, joint_counts = np.unique(joint, return_counts=True) + p_joint = joint_counts / n_samples + H_joint = -np.sum(p_joint * np.log2(p_joint + 1e-12)) + + _, marginal_counts = np.unique(idx2, return_counts=True) + p_marginal = marginal_counts / n_samples + H_marginal = -np.sum(p_marginal * np.log2(p_marginal + 1e-12)) + + return H_joint - H_marginal + + # H(Y_t | Y_past) + H_y_given_ypast = entropy_from_joint(y_fut_d, y_past_idx) + + # H(Y_t | Y_past, X_past) + H_y_given_yxpast = entropy_from_joint(y_fut_d, yx_past_idx) + + # Transfer Entropy + te = H_y_given_ypast - H_y_given_yxpast + + return max(0.0, float(te)) + + +def compute_net_transfer_entropy( + x: NDArray[np.float64], + y: NDArray[np.float64], + k: int = 1, + l: int = 1, + tau: int = 1, + n_bins: int = 8 +) -> dict: + """ + Compute transfer entropy in both directions and net flow. + + Net TE = TE_{X→Y} - TE_{Y→X} + - Positive: X dominates (more information flows X→Y) + - Negative: Y dominates (more information flows Y→X) + - Zero: Balanced bidirectional coupling + + Parameters + ---------- + x : NDArray[np.float64] + First signal. + y : NDArray[np.float64] + Second signal. + k : int, optional + History length. Default is 1. + l : int, optional + History length. Default is 1. + tau : int, optional + Embedding delay. Default is 1. + n_bins : int, optional + Number of bins. Default is 8. + + Returns + ------- + dict + Dictionary with: + - 'te_x_to_y': TE from X to Y + - 'te_y_to_x': TE from Y to X + - 'net_te': Net transfer entropy (positive = X dominates) + - 'dominant': 'X', 'Y', or 'balanced' + + Examples + -------- + >>> x = np.random.randn(1000) + >>> y = np.zeros(1000) + >>> y[5:] = 0.5 * x[:-5] + np.random.randn(995) + >>> result = compute_net_transfer_entropy(x, y, tau=5) + >>> print(f"Dominant: {result['dominant']}") # Should be 'X' + """ + te_x_to_y = compute_transfer_entropy(x, y, k, l, tau, n_bins) + te_y_to_x = compute_transfer_entropy(y, x, k, l, tau, n_bins) + + net_te = te_x_to_y - te_y_to_x + + # Determine dominant direction (with small threshold for "balanced") + threshold = 0.01 + if net_te > threshold: + dominant = "X" + elif net_te < -threshold: + dominant = "Y" + else: + dominant = "balanced" + + return { + "te_x_to_y": te_x_to_y, + "te_y_to_x": te_y_to_x, + "net_te": net_te, + "dominant": dominant + } + + +def compute_te_surrogate( + x: NDArray[np.float64], + y: NDArray[np.float64], + k: int = 1, + l: int = 1, + tau: int = 1, + n_bins: int = 8, + seed: Optional[int] = None +) -> float: + """ + Compute TE with shuffled source signal (null hypothesis). + + Parameters + ---------- + x : NDArray[np.float64] + Source signal (will be shuffled). + y : NDArray[np.float64] + Target signal (kept intact). + k : int, optional + History length for target. Default is 1. + l : int, optional + History length for source. Default is 1. + tau : int, optional + Embedding delay. Default is 1. + n_bins : int, optional + Number of bins. Default is 8. + seed : int, optional + Random seed. + + Returns + ------- + float + TE computed on shuffled source (null TE). + """ + rng = np.random.RandomState(seed) + x_shuffled = rng.permutation(x) + return compute_transfer_entropy(x_shuffled, y, k, l, tau, n_bins) + + +def te_significance_test( + x: NDArray[np.float64], + y: NDArray[np.float64], + k: int = 1, + l: int = 1, + tau: int = 1, + n_bins: int = 8, + n_surrogates: int = 200, + seed: Optional[int] = None +) -> dict: + """ + Test significance of transfer entropy using surrogate distribution. + + Parameters + ---------- + x : NDArray[np.float64] + Source signal. + y : NDArray[np.float64] + Target signal. + k : int, optional + History length for target. Default is 1. + l : int, optional + History length for source. Default is 1. + tau : int, optional + Embedding delay. Default is 1. + n_bins : int, optional + Number of bins. Default is 8. + n_surrogates : int, optional + Number of surrogates. Default is 200. + seed : int, optional + Random seed. + + Returns + ------- + dict + Contains: te_observed, te_effective, null_mean, null_std, p_value + """ + te_observed = compute_transfer_entropy(x, y, k, l, tau, n_bins) + + rng = np.random.RandomState(seed) + null_te = np.array([ + compute_te_surrogate(x, y, k, l, tau, n_bins, seed=rng.randint(100000)) + for _ in range(n_surrogates) + ]) + + null_mean = float(np.mean(null_te)) + null_std = float(np.std(null_te)) + te_effective = te_observed - null_mean + p_value = float(np.mean(null_te >= te_observed)) + + return { + "te_observed": te_observed, + "te_effective": te_effective, + "null_mean": null_mean, + "null_std": null_std, + "null_distribution": null_te, + "p_value": p_value + } + + +def compute_te_matrix( + data: NDArray[np.float64], + k: int = 1, + l: int = 1, + tau: int = 1, + n_bins: int = 8 +) -> NDArray[np.float64]: + """ + Compute directed TE matrix for multi-channel data. + + Unlike MI matrix, the TE matrix is NOT symmetric: + TE[i, j] = TE from channel i to channel j + + Parameters + ---------- + data : NDArray[np.float64] + Multi-channel data of shape (n_channels, n_samples). + k : int, optional + History length for target. Default is 1. + l : int, optional + History length for source. Default is 1. + tau : int, optional + Embedding delay. Default is 1. + n_bins : int, optional + Number of bins. Default is 8. + + Returns + ------- + NDArray[np.float64] + TE matrix of shape (n_channels, n_channels). + Entry [i, j] = TE from channel i to channel j. + Diagonal is NaN. + + Examples + -------- + >>> data = np.random.randn(5, 1000) + >>> te_matrix = compute_te_matrix(data) + >>> # Note: te_matrix[i,j] != te_matrix[j,i] in general + """ + n_channels = data.shape[0] + te_matrix = np.full((n_channels, n_channels), np.nan) + + for i in range(n_channels): + for j in range(n_channels): + if i != j: + te_matrix[i, j] = compute_transfer_entropy( + data[i], data[j], k, l, tau, n_bins + ) + + return te_matrix + + +def compute_net_te_matrix(te_matrix: NDArray[np.float64]) -> NDArray[np.float64]: + """ + Compute net TE matrix from directed TE matrix. + + Net[i, j] = TE[i, j] - TE[j, i] + + The net TE matrix is antisymmetric: Net[i, j] = -Net[j, i] + + Parameters + ---------- + te_matrix : NDArray[np.float64] + Directed TE matrix from compute_te_matrix. + + Returns + ------- + NDArray[np.float64] + Net TE matrix (antisymmetric). + + Examples + -------- + >>> te_matrix = compute_te_matrix(data) + >>> net_te = compute_net_te_matrix(te_matrix) + >>> # net_te[i,j] > 0 means i→j dominates + """ + return te_matrix - te_matrix.T + + +def compute_te_hyperscanning( + data_p1: NDArray[np.float64], + data_p2: NDArray[np.float64], + k: int = 1, + l: int = 1, + tau: int = 1, + n_bins: int = 8 +) -> dict: + """ + Compute inter-brain TE for hyperscanning analysis. + + Computes TE between all channel pairs across two participants + to determine who leads the interaction. + + Parameters + ---------- + data_p1 : NDArray[np.float64] + Participant 1 data, shape (n_channels, n_samples). + data_p2 : NDArray[np.float64] + Participant 2 data, shape (n_channels, n_samples). + k : int, optional + History length. Default is 1. + l : int, optional + History length. Default is 1. + tau : int, optional + Embedding delay. Default is 1. + n_bins : int, optional + Number of bins. Default is 8. + + Returns + ------- + dict + Contains: + - 'te_p1_to_p2': TE matrix from P1 to P2 + - 'te_p2_to_p1': TE matrix from P2 to P1 + - 'mean_p1_to_p2': Mean TE from P1 to P2 + - 'mean_p2_to_p1': Mean TE from P2 to P1 + - 'net_te': Net TE (positive = P1 leads) + - 'leader': 'P1', 'P2', or 'balanced' + + Examples + -------- + >>> data_p1 = np.random.randn(3, 1000) # 3 channels + >>> data_p2 = np.random.randn(3, 1000) + >>> result = compute_te_hyperscanning(data_p1, data_p2) + >>> print(f"Leader: {result['leader']}") + """ + n_ch1 = data_p1.shape[0] + n_ch2 = data_p2.shape[0] + + te_p1_to_p2 = np.zeros((n_ch1, n_ch2)) + te_p2_to_p1 = np.zeros((n_ch2, n_ch1)) + + for i in range(n_ch1): + for j in range(n_ch2): + te_p1_to_p2[i, j] = compute_transfer_entropy( + data_p1[i], data_p2[j], k, l, tau, n_bins + ) + te_p2_to_p1[j, i] = compute_transfer_entropy( + data_p2[j], data_p1[i], k, l, tau, n_bins + ) + + mean_p1_to_p2 = float(np.mean(te_p1_to_p2)) + mean_p2_to_p1 = float(np.mean(te_p2_to_p1)) + net_te = mean_p1_to_p2 - mean_p2_to_p1 + + threshold = 0.01 + if net_te > threshold: + leader = "P1" + elif net_te < -threshold: + leader = "P2" + else: + leader = "balanced" + + return { + "te_p1_to_p2": te_p1_to_p2, + "te_p2_to_p1": te_p2_to_p1, + "mean_p1_to_p2": mean_p1_to_p2, + "mean_p2_to_p1": mean_p2_to_p1, + "net_te": net_te, + "leader": leader + } diff --git a/ConnectivityMetricsTutorials-main/src/phase.py b/ConnectivityMetricsTutorials-main/src/phase.py new file mode 100644 index 0000000..54b3992 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/phase.py @@ -0,0 +1,482 @@ +""" +Phase Analysis Functions for Circular Statistics and Synchronization. + +This module provides functions for working with phase as a circular variable, +including wrapping, unwrapping, circular statistics, and phase synchronization +metrics commonly used in hyperscanning and connectivity analysis. + +Functions +--------- +wrap_phase : Wrap phase to [-π, π] +unwrap_phase : Remove artificial 2π discontinuities +compute_phase_difference : Compute wrapped phase difference +circular_mean : Compute circular mean using vector averaging +resultant_vector_length : Compute R, the concentration measure +circular_variance : Compute circular variance (1 - R) +circular_std : Compute circular standard deviation +plot_phase_polar_histogram : Create polar histogram (rose plot) +plot_phase_on_circle : Scatter plot of phases on unit circle +mask_low_amplitude_phase : Mask unreliable phase estimates +compute_plv_simple : Compute Phase Locking Value +""" + +from typing import Optional, Tuple + +import matplotlib.pyplot as plt +import numpy as np +from matplotlib.axes import Axes +from numpy.typing import NDArray + + +def wrap_phase(phase: NDArray[np.floating]) -> NDArray[np.floating]: + """ + Wrap phase values to the interval [-π, π]. + + Parameters + ---------- + phase : NDArray[np.floating] + Phase values in radians (can be any range). + + Returns + ------- + NDArray[np.floating] + Wrapped phase values in [-π, π]. + + Examples + -------- + >>> import numpy as np + >>> phases = np.array([0, np.pi, 2*np.pi, 3*np.pi]) + >>> wrap_phase(phases) + array([ 0. , 3.14159265, 0. , -3.14159265]) + """ + return np.angle(np.exp(1j * phase)) + + +def unwrap_phase(phase: NDArray[np.floating]) -> NDArray[np.floating]: + """ + Unwrap phase to remove artificial 2π discontinuities. + + This function assumes the underlying phase is continuous and + removes jumps greater than π by adding appropriate multiples of 2π. + + Parameters + ---------- + phase : NDArray[np.floating] + Wrapped phase values in radians. + + Returns + ------- + NDArray[np.floating] + Unwrapped (continuous) phase values. + + Notes + ----- + Unwrapping can fail with noisy signals where the true phase + change between samples exceeds π. Always validate results visually. + + Examples + -------- + >>> import numpy as np + >>> # Phase that wraps from π to -π + >>> wrapped = np.array([2.9, 3.1, -3.1, -2.9]) + >>> unwrap_phase(wrapped) + array([2.9, 3.1, 3.18..., 3.38...]) + """ + return np.unwrap(phase) + + +def compute_phase_difference( + phase1: NDArray[np.floating], + phase2: NDArray[np.floating], +) -> NDArray[np.floating]: + """ + Compute the wrapped phase difference between two phase time series. + + Parameters + ---------- + phase1 : NDArray[np.floating] + First phase time series in radians. + phase2 : NDArray[np.floating] + Second phase time series in radians. + + Returns + ------- + NDArray[np.floating] + Wrapped phase difference (phase1 - phase2) in [-π, π]. + + Examples + -------- + >>> import numpy as np + >>> p1 = np.array([0, np.pi/2, np.pi]) + >>> p2 = np.array([np.pi/4, np.pi/4, np.pi/4]) + >>> compute_phase_difference(p1, p2) + array([-0.78539816, 0.78539816, 2.35619449]) + """ + return wrap_phase(phase1 - phase2) + + +def circular_mean(phases: NDArray[np.floating]) -> float: + """ + Compute the circular mean of phase values using vector averaging. + + The circular mean is computed by converting phases to unit vectors, + averaging the vectors, and finding the angle of the resultant. + + Parameters + ---------- + phases : NDArray[np.floating] + Array of phase values in radians. + + Returns + ------- + float + Circular mean in radians, in the range [-π, π]. + + Notes + ----- + If phases are uniformly distributed (R ≈ 0), the circular mean + is poorly defined. Check resultant_vector_length before interpreting. + + Examples + -------- + >>> import numpy as np + >>> # Phases clustered around 0 + >>> phases = np.array([-0.1, 0, 0.1, 0.05, -0.05]) + >>> circular_mean(phases) + 0.0 + """ + mean_x = np.mean(np.cos(phases)) + mean_y = np.mean(np.sin(phases)) + return float(np.arctan2(mean_y, mean_x)) + + +def resultant_vector_length(phases: NDArray[np.floating]) -> float: + """ + Compute the resultant vector length R (phase concentration). + + R measures how concentrated the phases are around their circular mean. + R = 1 means all phases are identical; R = 0 means uniform distribution. + + Parameters + ---------- + phases : NDArray[np.floating] + Array of phase values in radians. + + Returns + ------- + float + Resultant vector length in [0, 1]. + + Notes + ----- + R is equivalent to the Phase Locking Value (PLV) when computed + on phase differences between two signals. + + Examples + -------- + >>> import numpy as np + >>> # Perfectly aligned phases + >>> phases = np.array([0, 0, 0, 0]) + >>> resultant_vector_length(phases) + 1.0 + + >>> # Uniformly distributed phases + >>> phases = np.linspace(-np.pi, np.pi, 100) + >>> r = resultant_vector_length(phases) + >>> r < 0.1 + True + """ + mean_x = np.mean(np.cos(phases)) + mean_y = np.mean(np.sin(phases)) + return float(np.sqrt(mean_x**2 + mean_y**2)) + + +def circular_variance(phases: NDArray[np.floating]) -> float: + """ + Compute the circular variance of phase values. + + Circular variance is defined as V = 1 - R, where R is the + resultant vector length. V = 0 means no variance (all phases + identical); V = 1 means maximum variance (uniform distribution). + + Parameters + ---------- + phases : NDArray[np.floating] + Array of phase values in radians. + + Returns + ------- + float + Circular variance in [0, 1]. + + Examples + -------- + >>> import numpy as np + >>> # Identical phases: no variance + >>> phases = np.array([0, 0, 0, 0]) + >>> circular_variance(phases) + 0.0 + """ + return 1.0 - resultant_vector_length(phases) + + +def circular_std(phases: NDArray[np.floating]) -> float: + """ + Compute the circular standard deviation. + + Defined as sqrt(-2 * ln(R)), where R is the resultant vector length. + This approximates the angular dispersion in radians. + + Parameters + ---------- + phases : NDArray[np.floating] + Array of phase values in radians. + + Returns + ------- + float + Circular standard deviation in radians. + + Notes + ----- + When R → 0 (uniform distribution), circular_std → ∞. + A small epsilon is added to R to avoid numerical issues. + + Examples + -------- + >>> import numpy as np + >>> # Highly concentrated phases + >>> phases = np.array([0, 0.01, -0.01, 0.02]) + >>> std = circular_std(phases) + >>> std < 0.1 + True + """ + r = resultant_vector_length(phases) + # Add small epsilon to avoid log(0) + r = max(r, 1e-10) + return float(np.sqrt(-2 * np.log(r))) + + +def plot_phase_polar_histogram( + phases: NDArray[np.floating], + n_bins: int = 24, + ax: Optional[Axes] = None, + color: str = "#3498DB", + alpha: float = 0.7, +) -> Axes: + """ + Create a polar histogram (rose plot) of phase values. + + Parameters + ---------- + phases : NDArray[np.floating] + Array of phase values in radians. + n_bins : int, optional + Number of angular bins (default: 24). + ax : Axes, optional + Matplotlib polar axes to plot on. If None, creates new figure. + color : str, optional + Bar color (default: "#3498DB"). + alpha : float, optional + Bar transparency (default: 0.7). + + Returns + ------- + Axes + The matplotlib axes with the polar histogram. + + Examples + -------- + >>> import numpy as np + >>> phases = np.random.vonmises(0, 2, 100) + >>> ax = plot_phase_polar_histogram(phases) + """ + if ax is None: + _, ax = plt.subplots(1, 1, figsize=(6, 6), subplot_kw={"projection": "polar"}) + + # Create histogram + bin_edges = np.linspace(-np.pi, np.pi, n_bins + 1) + counts, _ = np.histogram(phases, bins=bin_edges) + + # Normalize to probability + counts = counts / counts.sum() + + # Width of each bar + width = 2 * np.pi / n_bins + + # Center of each bin + bin_centers = (bin_edges[:-1] + bin_edges[1:]) / 2 + + # Plot bars + ax.bar( + bin_centers, + counts, + width=width, + color=color, + alpha=alpha, + edgecolor="black", + linewidth=0.5, + ) + + ax.set_theta_zero_location("E") + ax.set_theta_direction(1) + + return ax + + +def plot_phase_on_circle( + phases: NDArray[np.floating], + ax: Optional[Axes] = None, + show_mean: bool = True, + color: str = "#3498DB", + mean_color: str = "#E74C3C", + alpha: float = 0.6, + marker_size: int = 50, +) -> Axes: + """ + Plot phases as points on the unit circle. + + Parameters + ---------- + phases : NDArray[np.floating] + Array of phase values in radians. + ax : Axes, optional + Matplotlib polar axes to plot on. If None, creates new figure. + show_mean : bool, optional + Whether to show the circular mean as an arrow (default: True). + color : str, optional + Point color (default: "#3498DB"). + mean_color : str, optional + Mean vector color (default: "#E74C3C"). + alpha : float, optional + Point transparency (default: 0.6). + marker_size : int, optional + Size of scatter points (default: 50). + + Returns + ------- + Axes + The matplotlib axes with the scatter plot. + + Examples + -------- + >>> import numpy as np + >>> phases = np.random.vonmises(np.pi/4, 3, 50) + >>> ax = plot_phase_on_circle(phases, show_mean=True) + """ + if ax is None: + _, ax = plt.subplots(1, 1, figsize=(6, 6), subplot_kw={"projection": "polar"}) + + # Plot phases on unit circle + ax.scatter( + phases, + np.ones(len(phases)), + color=color, + alpha=alpha, + s=marker_size, + edgecolor="white", + linewidth=0.5, + ) + + if show_mean: + mean_angle = circular_mean(phases) + r = resultant_vector_length(phases) + + # Draw mean vector + ax.annotate( + "", + xy=(mean_angle, r), + xytext=(0, 0), + arrowprops={"arrowstyle": "->", "color": mean_color, "lw": 2}, + ) + + ax.set_theta_zero_location("E") + ax.set_theta_direction(1) + ax.set_ylim(0, 1.2) + + return ax + + +def mask_low_amplitude_phase( + phase: NDArray[np.floating], + amplitude: NDArray[np.floating], + threshold_percentile: float = 20.0, +) -> NDArray[np.floating]: + """ + Mask phase values where amplitude is below a threshold. + + Phase estimates are unreliable when the signal amplitude is low + (dominated by noise). This function sets phase values to NaN + where the amplitude is below a percentile threshold. + + Parameters + ---------- + phase : NDArray[np.floating] + Phase time series in radians. + amplitude : NDArray[np.floating] + Amplitude envelope (same length as phase). + threshold_percentile : float, optional + Percentile of amplitude below which to mask (default: 20). + + Returns + ------- + NDArray[np.floating] + Phase array with NaN values where amplitude was low. + + Examples + -------- + >>> import numpy as np + >>> phase = np.array([0, 1, 2, 3, 4]) + >>> amplitude = np.array([1.0, 0.1, 0.5, 0.05, 0.8]) + >>> masked = mask_low_amplitude_phase(phase, amplitude, threshold_percentile=25) + >>> np.isnan(masked[1]) and np.isnan(masked[3]) + True + """ + threshold = np.percentile(amplitude, threshold_percentile) + masked_phase = phase.copy().astype(float) + masked_phase[amplitude < threshold] = np.nan + return masked_phase + + +def compute_plv_simple( + phase1: NDArray[np.floating], + phase2: NDArray[np.floating], +) -> float: + """ + Compute the Phase Locking Value (PLV) between two phase time series. + + PLV is the resultant vector length of the phase differences, + measuring how consistent the phase relationship is over time. + PLV = 1 means perfect phase locking; PLV = 0 means no locking. + + Parameters + ---------- + phase1 : NDArray[np.floating] + First phase time series in radians. + phase2 : NDArray[np.floating] + Second phase time series in radians. + + Returns + ------- + float + Phase Locking Value in [0, 1]. + + Notes + ----- + This is a simplified PLV implementation. For robust connectivity + analysis, see the dedicated PLV notebook (G01) which covers + statistical significance, trial-based computation, and confounds. + + Examples + -------- + >>> import numpy as np + >>> # Perfectly locked (constant phase difference) + >>> t = np.linspace(0, 1, 1000) + >>> p1 = 2 * np.pi * 10 * t + >>> p2 = 2 * np.pi * 10 * t + np.pi/4 + >>> plv = compute_plv_simple(p1, p2) + >>> plv > 0.99 + True + """ + phase_diff = phase1 - phase2 + return float(np.abs(np.mean(np.exp(1j * phase_diff)))) diff --git a/ConnectivityMetricsTutorials-main/src/plotting.py b/ConnectivityMetricsTutorials-main/src/plotting.py new file mode 100644 index 0000000..3298b6a --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/plotting.py @@ -0,0 +1,40 @@ +"""Plotting utilities for the Hyperscanning Workshop.""" + +import matplotlib.pyplot as plt + + +def configure_plots() -> None: + """ + Configure matplotlib defaults for consistent workshop visualizations. + + Sets font sizes, figure aesthetics, and other defaults according + to the workshop style guide. + """ + plt.rcParams.update({ + # Figure + "figure.facecolor": "white", + "figure.dpi": 150, + # Axes + "axes.facecolor": "white", + "axes.edgecolor": "#2C3E50", + "axes.labelcolor": "#2C3E50", + "axes.titlesize": 14, + "axes.labelsize": 12, + "axes.spines.top": False, + "axes.spines.right": False, + # Ticks + "xtick.labelsize": 10, + "ytick.labelsize": 10, + "xtick.color": "#2C3E50", + "ytick.color": "#2C3E50", + # Legend + "legend.fontsize": 10, + "legend.frameon": False, + # Grid + "grid.alpha": 0.3, + "grid.color": "#CCCCCC", + # Lines + "lines.linewidth": 1.5, + # Font + "font.family": "sans-serif", + }) diff --git a/ConnectivityMetricsTutorials-main/src/signals.py b/ConnectivityMetricsTutorials-main/src/signals.py new file mode 100644 index 0000000..9439e88 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/signals.py @@ -0,0 +1,202 @@ +"""Signal generation utilities for the Hyperscanning Workshop.""" + +from typing import Optional + +import numpy as np +from numpy.typing import NDArray + + +def generate_time_vector( + duration: float, + fs: float, +) -> NDArray[np.float64]: + """ + Generate a time vector for signal creation. + + Parameters + ---------- + duration : float + Duration of the time vector in seconds. + fs : float + Sampling frequency in Hz. + + Returns + ------- + NDArray[np.float64] + Time vector from 0 to duration (exclusive) with spacing 1/fs. + """ + return np.arange(0, duration, 1 / fs) + + +def generate_sine_wave( + t: NDArray[np.float64], + frequency: float, + amplitude: float = 1.0, + phase: float = 0.0, +) -> NDArray[np.float64]: + """ + Generate a sine wave signal. + + Parameters + ---------- + t : NDArray[np.float64] + Time vector in seconds. + frequency : float + Frequency of the sine wave in Hz. + amplitude : float, optional + Peak amplitude of the sine wave. Default is 1.0. + phase : float, optional + Phase offset in radians. Default is 0.0. + + Returns + ------- + NDArray[np.float64] + Sine wave signal values. + """ + return amplitude * np.sin(2 * np.pi * frequency * t + phase) + + +def generate_white_noise( + n_samples: int, + amplitude: float = 1.0, + seed: Optional[int] = None, +) -> NDArray[np.float64]: + """ + Generate white noise signal. + + White noise has equal power at all frequencies, resulting in + a flat power spectrum. + + Parameters + ---------- + n_samples : int + Number of samples to generate. + amplitude : float, optional + Standard deviation of the noise. Default is 1.0. + seed : int, optional + Random seed for reproducibility. Default is None. + + Returns + ------- + NDArray[np.float64] + White noise signal. + """ + rng = np.random.default_rng(seed) + return amplitude * rng.standard_normal(n_samples) + + +def generate_pink_noise( + n_samples: int, + amplitude: float = 1.0, + seed: Optional[int] = None, +) -> NDArray[np.float64]: + """ + Generate pink (1/f) noise signal. + + Pink noise has a power spectrum that decreases with frequency, + with power proportional to 1/f. This is more representative of + real EEG signals than white noise. + + Parameters + ---------- + n_samples : int + Number of samples to generate. + amplitude : float, optional + Scaling factor for the noise amplitude. Default is 1.0. + seed : int, optional + Random seed for reproducibility. Default is None. + + Returns + ------- + NDArray[np.float64] + Pink noise signal. + """ + rng = np.random.default_rng(seed) + + # Generate white noise in frequency domain + white = rng.standard_normal(n_samples) + + # Compute FFT + fft_white = np.fft.rfft(white) + + # Create 1/f filter (avoiding division by zero) + frequencies = np.fft.rfftfreq(n_samples) + frequencies[0] = 1 # Avoid division by zero + pink_filter = 1 / np.sqrt(frequencies) + pink_filter[0] = 0 # Remove DC component + + # Apply filter and inverse FFT + fft_pink = fft_white * pink_filter + pink = np.fft.irfft(fft_pink, n=n_samples) + + # Normalize and scale + pink = amplitude * pink / np.std(pink) + + return pink + + +def generate_composite_signal( + t: NDArray[np.float64], + frequencies: list[float], + amplitudes: list[float], + phases: Optional[list[float]] = None, +) -> NDArray[np.float64]: + """ + Generate a composite signal as a sum of sine waves. + + Parameters + ---------- + t : NDArray[np.float64] + Time vector in seconds. + frequencies : list[float] + List of frequencies in Hz for each component. + amplitudes : list[float] + List of amplitudes for each component. + phases : list[float], optional + List of phase offsets in radians. Default is all zeros. + + Returns + ------- + NDArray[np.float64] + Composite signal. + """ + if phases is None: + phases = [0.0] * len(frequencies) + + if len(frequencies) != len(amplitudes) or len(frequencies) != len(phases): + raise ValueError( + "frequencies, amplitudes, and phases must have the same length" + ) + + signal = np.zeros_like(t) + for freq, amp, phase in zip(frequencies, amplitudes, phases): + signal += generate_sine_wave(t, freq, amp, phase) + + return signal + + +def compute_aliased_frequency( + true_freq: float, + fs: float, +) -> float: + """ + Compute the aliased frequency when sampling violates Nyquist. + + Parameters + ---------- + true_freq : float + The true frequency of the signal in Hz. + fs : float + The sampling frequency in Hz. + + Returns + ------- + float + The frequency that will appear in the sampled signal. + """ + nyquist = fs / 2 + # Fold the frequency back into the Nyquist range + aliased = true_freq % fs + if aliased > nyquist: + aliased = fs - aliased + return aliased diff --git a/ConnectivityMetricsTutorials-main/src/spectral.py b/ConnectivityMetricsTutorials-main/src/spectral.py new file mode 100644 index 0000000..c152493 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/spectral.py @@ -0,0 +1,434 @@ +"""Spectral analysis functions for frequency domain operations. + +This module provides functions for computing FFT, amplitude spectrum, +phase spectrum, power spectral density, and band power analysis. +""" + +import numpy as np +from numpy.typing import NDArray +from scipy.fft import fft, fftfreq +from scipy.signal import welch + + +def compute_fft( + signal: NDArray[np.floating], + fs: float, +) -> tuple[NDArray[np.floating], NDArray[np.complexfloating]]: + """Compute the Fast Fourier Transform of a signal. + + Parameters + ---------- + signal : NDArray[np.floating] + Input signal in the time domain. + fs : float + Sampling frequency in Hz. + + Returns + ------- + frequencies : NDArray[np.floating] + Array of frequency values in Hz. + fft_values : NDArray[np.complexfloating] + Complex FFT coefficients. + + Examples + -------- + >>> t = np.linspace(0, 1, 1000) + >>> signal = np.sin(2 * np.pi * 10 * t) + >>> frequencies, fft_values = compute_fft(signal, fs=1000) + """ + n_samples = len(signal) + fft_values = fft(signal) + frequencies = fftfreq(n_samples, 1 / fs) + return frequencies, fft_values + + +def compute_amplitude_spectrum( + signal: NDArray[np.floating], + fs: float, +) -> tuple[NDArray[np.floating], NDArray[np.floating]]: + """Compute the amplitude spectrum (positive frequencies only). + + The amplitude is properly scaled to recover the original signal amplitudes. + + Parameters + ---------- + signal : NDArray[np.floating] + Input signal in the time domain. + fs : float + Sampling frequency in Hz. + + Returns + ------- + frequencies : NDArray[np.floating] + Array of positive frequency values in Hz. + amplitude : NDArray[np.floating] + Amplitude at each frequency (properly scaled). + + Examples + -------- + >>> t = np.linspace(0, 1, 1000) + >>> signal = 2.0 * np.sin(2 * np.pi * 10 * t) # Amplitude = 2 + >>> freqs, amps = compute_amplitude_spectrum(signal, fs=1000) + >>> # Peak at 10 Hz should be approximately 2.0 + """ + n_samples = len(signal) + frequencies, fft_values = compute_fft(signal, fs) + + # Keep only positive frequencies + positive_mask = frequencies >= 0 + frequencies_pos = frequencies[positive_mask] + fft_pos = fft_values[positive_mask] + + # Scale: divide by N and multiply by 2 (except DC) + amplitude = np.abs(fft_pos) * 2 / n_samples + amplitude[0] /= 2 # DC component shouldn't be doubled + + return frequencies_pos, amplitude + + +def compute_phase_spectrum( + signal: NDArray[np.floating], + fs: float, +) -> tuple[NDArray[np.floating], NDArray[np.floating]]: + """Compute the phase spectrum (positive frequencies only). + + Parameters + ---------- + signal : NDArray[np.floating] + Input signal in the time domain. + fs : float + Sampling frequency in Hz. + + Returns + ------- + frequencies : NDArray[np.floating] + Array of positive frequency values in Hz. + phase : NDArray[np.floating] + Phase angle at each frequency in radians (-π to π). + + Examples + -------- + >>> t = np.linspace(0, 1, 1000) + >>> signal = np.sin(2 * np.pi * 10 * t + np.pi/4) # Phase = π/4 + >>> freqs, phases = compute_phase_spectrum(signal, fs=1000) + """ + frequencies, fft_values = compute_fft(signal, fs) + + # Keep only positive frequencies + positive_mask = frequencies >= 0 + frequencies_pos = frequencies[positive_mask] + fft_pos = fft_values[positive_mask] + + # Extract phase + phase = np.angle(fft_pos) + + return frequencies_pos, phase + + +def compute_frequency_resolution(fs: float, n_samples: int) -> float: + """Compute the frequency resolution of an FFT. + + The frequency resolution (Δf) determines the spacing between + frequency bins and the ability to distinguish nearby frequencies. + + Parameters + ---------- + fs : float + Sampling frequency in Hz. + n_samples : int + Number of samples in the signal. + + Returns + ------- + float + Frequency resolution in Hz (Δf = fs / N). + + Notes + ----- + To resolve two frequencies that are Δf apart, you need at least + 1/Δf seconds of data. For example, to resolve 1 Hz difference, + you need at least 1 second of data. + + Examples + -------- + >>> compute_frequency_resolution(fs=1000, n_samples=1000) + 1.0 + >>> compute_frequency_resolution(fs=1000, n_samples=2000) + 0.5 + """ + return fs / n_samples + + +# ============================================================================= +# Power Spectral Density Functions (A03) +# ============================================================================= + + +def compute_psd_fft( + signal: NDArray[np.floating], + fs: float, +) -> tuple[NDArray[np.floating], NDArray[np.floating]]: + """Compute Power Spectral Density using the periodogram method (direct FFT). + + This is a simple but high-variance estimator. For more robust estimation, + use compute_psd_welch() instead. + + Parameters + ---------- + signal : NDArray[np.floating] + Input signal in the time domain. + fs : float + Sampling frequency in Hz. + + Returns + ------- + frequencies : NDArray[np.floating] + Array of positive frequency values in Hz. + psd : NDArray[np.floating] + Power spectral density values in V²/Hz. + + Examples + -------- + >>> t = np.linspace(0, 1, 1000, endpoint=False) + >>> signal = np.sin(2 * np.pi * 10 * t) + >>> freqs, psd = compute_psd_fft(signal, fs=1000) + """ + n_samples = len(signal) + frequencies, fft_values = compute_fft(signal, fs) + + # Keep only positive frequencies + positive_mask = frequencies >= 0 + frequencies_pos = frequencies[positive_mask] + fft_pos = fft_values[positive_mask] + + # Compute PSD: |X(f)|² / (fs * N), multiply by 2 for one-sided + psd = (np.abs(fft_pos) ** 2) / (fs * n_samples) + psd[1:] *= 2 # Double for one-sided (except DC) + + return frequencies_pos, psd + + +def compute_psd_welch( + signal: NDArray[np.floating], + fs: float, + nperseg: int | None = None, + noverlap: int | None = None, +) -> tuple[NDArray[np.floating], NDArray[np.floating]]: + """Compute Power Spectral Density using Welch's method. + + Welch's method reduces variance by averaging periodograms of overlapping + segments, at the cost of some frequency resolution. + + Parameters + ---------- + signal : NDArray[np.floating] + Input signal in the time domain. + fs : float + Sampling frequency in Hz. + nperseg : int | None, optional + Length of each segment. If None, defaults to 256. + noverlap : int | None, optional + Number of points to overlap between segments. + If None, defaults to nperseg // 2 (50% overlap). + + Returns + ------- + frequencies : NDArray[np.floating] + Array of frequency values in Hz. + psd : NDArray[np.floating] + Power spectral density values in V²/Hz. + + Examples + -------- + >>> signal = np.random.randn(10000) + >>> freqs, psd = compute_psd_welch(signal, fs=1000, nperseg=256) + """ + if nperseg is None: + nperseg = min(256, len(signal)) + if noverlap is None: + noverlap = nperseg // 2 + + frequencies, psd = welch(signal, fs=fs, nperseg=nperseg, noverlap=noverlap) + + return frequencies, psd + + +# ============================================================================= +# Band Power Functions (A03) +# ============================================================================= + + +def compute_band_power( + psd: NDArray[np.floating], + freqs: NDArray[np.floating], + freq_range: tuple[float, float], +) -> float: + """Compute the power in a specific frequency band using trapezoidal integration. + + Parameters + ---------- + psd : NDArray[np.floating] + Power spectral density values. + freqs : NDArray[np.floating] + Frequency values corresponding to PSD. + freq_range : tuple[float, float] + Tuple of (low_freq, high_freq) defining the band. + + Returns + ------- + float + Total power in the specified frequency band. + + Examples + -------- + >>> freqs = np.array([0, 1, 2, 3, 4, 5]) + >>> psd = np.array([1, 1, 1, 1, 1, 1]) + >>> compute_band_power(psd, freqs, (1, 4)) + 3.0 + """ + f_low, f_high = freq_range + + # Find indices within the frequency range + band_mask = (freqs >= f_low) & (freqs <= f_high) + freqs_band = freqs[band_mask] + psd_band = psd[band_mask] + + if len(freqs_band) < 2: + return 0.0 + + # Trapezoidal integration + band_power = np.trapz(psd_band, freqs_band) + + return float(band_power) + + +def compute_all_band_powers( + psd: NDArray[np.floating], + freqs: NDArray[np.floating], + bands: dict[str, tuple[float, float]] | None = None, +) -> dict[str, float]: + """Compute absolute power for all frequency bands. + + Parameters + ---------- + psd : NDArray[np.floating] + Power spectral density values. + freqs : NDArray[np.floating] + Frequency values corresponding to PSD. + bands : dict[str, tuple[float, float]] | None, optional + Dictionary mapping band names to (low_freq, high_freq) tuples. + If None, uses standard EEG bands. + + Returns + ------- + dict[str, float] + Dictionary mapping band names to their absolute power values. + + Examples + -------- + >>> freqs, psd = compute_psd_welch(signal, fs=256) + >>> powers = compute_all_band_powers(psd, freqs) + >>> print(powers["alpha"]) + """ + if bands is None: + bands = { + "delta": (1.0, 4.0), + "theta": (4.0, 8.0), + "alpha": (8.0, 13.0), + "beta": (13.0, 30.0), + "gamma": (30.0, 100.0), + } + + band_powers = {} + for band_name, freq_range in bands.items(): + band_powers[band_name] = compute_band_power(psd, freqs, freq_range) + + return band_powers + + +def compute_relative_band_power( + psd: NDArray[np.floating], + freqs: NDArray[np.floating], + freq_range: tuple[float, float], + total_range: tuple[float, float] = (1.0, 100.0), +) -> float: + """Compute the relative power of a frequency band as a percentage of total power. + + Parameters + ---------- + psd : NDArray[np.floating] + Power spectral density values. + freqs : NDArray[np.floating] + Frequency values corresponding to PSD. + freq_range : tuple[float, float] + Tuple of (low_freq, high_freq) defining the band of interest. + total_range : tuple[float, float], optional + Frequency range for computing total power. Default is (1, 100) Hz. + + Returns + ------- + float + Relative power as a percentage (0-100). + + Examples + -------- + >>> freqs, psd = compute_psd_welch(signal, fs=256) + >>> alpha_relative = compute_relative_band_power(psd, freqs, (8, 13)) + >>> print(f"Alpha: {alpha_relative:.1f}%") + """ + band_power = compute_band_power(psd, freqs, freq_range) + total_power = compute_band_power(psd, freqs, total_range) + + if total_power == 0: + return 0.0 + + return 100.0 * band_power / total_power + + +def power_to_db( + power: NDArray[np.floating], + ref: float | None = None, + min_db: float = -100.0, +) -> NDArray[np.floating]: + """Convert power values to decibels (dB). + + Parameters + ---------- + power : NDArray[np.floating] + Power values to convert. + ref : float | None, optional + Reference power value. If None, uses the maximum power value. + Common choices: 1.0 (absolute), max(power) (relative to peak). + min_db : float, optional + Minimum dB value to return (clips very small values). Default is -100. + + Returns + ------- + NDArray[np.floating] + Power values in decibels. + + Examples + -------- + >>> power = np.array([1, 10, 100, 1000]) + >>> power_to_db(power, ref=1.0) + array([ 0., 10., 20., 30.]) + + Notes + ----- + - Uses 10*log10 (power ratio), not 20*log10 (amplitude ratio) + - Zero or negative power values are clipped to min_db + """ + power = np.asarray(power, dtype=np.float64) + + if ref is None: + ref = np.max(power) + + # Avoid log of zero or negative values + power_safe = np.maximum(power, np.finfo(float).tiny) + + db_values = 10.0 * np.log10(power_safe / ref) + + # Clip to minimum dB + db_values = np.maximum(db_values, min_db) + + return db_values diff --git a/ConnectivityMetricsTutorials-main/src/statistics.py b/ConnectivityMetricsTutorials-main/src/statistics.py new file mode 100644 index 0000000..28c4210 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/statistics.py @@ -0,0 +1,696 @@ +# ============================================================================ +# Statistical Significance for Connectivity Analysis +# ============================================================================ +# +# This module provides functions for testing statistical significance of +# connectivity metrics using surrogate data methods, multiple comparisons +# correction, and effect size computation. +# +# ============================================================================ + +import numpy as np +from numpy.typing import NDArray +from scipy import stats +from scipy.fft import fft, ifft +from scipy.signal import hilbert +from typing import Any, Callable, Dict, List, Optional, Tuple + + +# ============================================================================ +# Surrogate Data Generation +# ============================================================================ + +def phase_shuffle(signal: NDArray[np.floating]) -> NDArray[np.floating]: + """ + Create a phase-shuffled surrogate of a signal. + + Preserves the power spectrum while randomizing phase relationships. + This is the gold standard for testing phase-based connectivity metrics. + + Parameters + ---------- + signal : NDArray[np.floating] + Input signal (1D array). + + Returns + ------- + NDArray[np.floating] + Phase-shuffled surrogate signal with identical power spectrum. + + Examples + -------- + >>> signal = np.sin(2 * np.pi * 10 * np.arange(256) / 256) + >>> surrogate = phase_shuffle(signal) + >>> # Power spectra are identical + >>> np.allclose(np.abs(np.fft.fft(signal)), np.abs(np.fft.fft(surrogate))) + True + """ + n = len(signal) + + # FFT + spectrum = fft(signal) + + # Get magnitude + magnitude = np.abs(spectrum) + + # Generate random phases (symmetric for real output) + random_phases = np.random.uniform(0, 2 * np.pi, n // 2 + 1) + + # Build symmetric phase array for real signal + if n % 2 == 0: # Even length + new_phases = np.concatenate([ + [0], # DC component (no phase) + random_phases[1:-1], + [0], # Nyquist (no phase) + -random_phases[-2:0:-1] # Negative frequencies + ]) + else: # Odd length + new_phases = np.concatenate([ + [0], # DC component + random_phases[1:], + -random_phases[-1:0:-1] # Negative frequencies + ]) + + # Reconstruct spectrum with new phases + surrogate_spectrum = magnitude * np.exp(1j * new_phases) + + # Inverse FFT + surrogate = np.real(ifft(surrogate_spectrum)) + + return surrogate + + +def time_shift(signal: NDArray[np.floating], + min_shift: Optional[int] = None, + max_shift: Optional[int] = None) -> NDArray[np.floating]: + """ + Create a time-shifted surrogate of a signal. + + A simpler and faster alternative to phase shuffling. Uses circular + shifting to break temporal alignment between signals. + + Parameters + ---------- + signal : NDArray[np.floating] + Input signal (1D array). + min_shift : int, optional + Minimum shift in samples. Default: 10% of signal length. + max_shift : int, optional + Maximum shift in samples. Default: 90% of signal length. + + Returns + ------- + NDArray[np.floating] + Time-shifted surrogate signal (circular shift). + + Notes + ----- + Time shifting is less rigorous than phase shuffling but much faster. + Use for quick exploratory analyses or very long signals. + """ + n = len(signal) + + if min_shift is None: + min_shift = n // 10 + if max_shift is None: + max_shift = 9 * n // 10 + + # Random shift + shift = np.random.randint(min_shift, max_shift) + + # Circular shift (wraps around) + surrogate = np.roll(signal, shift) + + return surrogate + + +def generate_surrogates(signal: NDArray[np.floating], + n_surrogates: int = 1000, + method: str = 'phase_shuffle') -> NDArray[np.floating]: + """ + Generate multiple surrogate signals. + + Parameters + ---------- + signal : NDArray[np.floating] + Input signal (1D array). + n_surrogates : int + Number of surrogates to generate. Default: 1000. + method : str + Surrogate method: 'phase_shuffle' or 'time_shift'. + + Returns + ------- + NDArray[np.floating] + Array of shape (n_surrogates, len(signal)) containing surrogates. + + Raises + ------ + ValueError + If method is not recognized. + """ + if method == 'phase_shuffle': + surrogate_func = phase_shuffle + elif method == 'time_shift': + surrogate_func = time_shift + else: + raise ValueError(f"Unknown method: {method}. Use 'phase_shuffle' or 'time_shift'.") + + surrogates = np.zeros((n_surrogates, len(signal))) + for i in range(n_surrogates): + surrogates[i] = surrogate_func(signal) + + return surrogates + + +# ============================================================================ +# Null Distribution and P-Value Computation +# ============================================================================ + +def build_null_distribution(signal1: NDArray[np.floating], + signal2: NDArray[np.floating], + connectivity_func: Callable, + n_surrogates: int = 1000, + method: str = 'phase_shuffle', + shuffle_which: str = 'second') -> NDArray[np.floating]: + """ + Build null distribution of connectivity using surrogate data. + + Parameters + ---------- + signal1 : NDArray[np.floating] + First signal. + signal2 : NDArray[np.floating] + Second signal. + connectivity_func : Callable + Function that takes two signals and returns a connectivity value. + Signature: connectivity_func(signal1, signal2) -> float + n_surrogates : int + Number of surrogates to generate. + method : str + Surrogate method: 'phase_shuffle' or 'time_shift'. + shuffle_which : str + Which signal to shuffle: 'first', 'second', or 'both'. + + Returns + ------- + NDArray[np.floating] + Array of connectivity values under the null hypothesis. + """ + null_values = np.zeros(n_surrogates) + + for i in range(n_surrogates): + if shuffle_which == 'first': + if method == 'phase_shuffle': + surr1 = phase_shuffle(signal1) + else: + surr1 = time_shift(signal1) + null_values[i] = connectivity_func(surr1, signal2) + elif shuffle_which == 'second': + if method == 'phase_shuffle': + surr2 = phase_shuffle(signal2) + else: + surr2 = time_shift(signal2) + null_values[i] = connectivity_func(signal1, surr2) + else: # both + if method == 'phase_shuffle': + surr1 = phase_shuffle(signal1) + surr2 = phase_shuffle(signal2) + else: + surr1 = time_shift(signal1) + surr2 = time_shift(signal2) + null_values[i] = connectivity_func(surr1, surr2) + + return null_values + + +def compute_pvalue(observed: float, + null_distribution: NDArray[np.floating], + alternative: str = 'greater') -> float: + """ + Compute p-value from null distribution. + + Parameters + ---------- + observed : float + Observed connectivity value. + null_distribution : NDArray[np.floating] + Null distribution values from surrogate testing. + alternative : str + Type of alternative hypothesis: + - 'greater': test if observed > null (typical for connectivity) + - 'less': test if observed < null + - 'two-sided': test if observed differs from null + + Returns + ------- + float + P-value (probability of observing value this extreme under H0). + + Notes + ----- + Uses the formula (k + 1) / (n + 1) to avoid p-values of exactly 0. + """ + n = len(null_distribution) + + if alternative == 'greater': + p = (np.sum(null_distribution >= observed) + 1) / (n + 1) + elif alternative == 'less': + p = (np.sum(null_distribution <= observed) + 1) / (n + 1) + else: # two-sided + mean_null = np.mean(null_distribution) + deviation = np.abs(observed - mean_null) + p = (np.sum(np.abs(null_distribution - mean_null) >= deviation) + 1) / (n + 1) + + return float(p) + + +# ============================================================================ +# Multiple Comparisons Correction +# ============================================================================ + +def bonferroni_correction(pvalues: NDArray[np.floating], + alpha: float = 0.05) -> Tuple[NDArray[np.bool_], float]: + """ + Apply Bonferroni correction to p-values. + + The most conservative correction method. Controls the family-wise + error rate (FWER) - the probability of making ANY false positive. + + Parameters + ---------- + pvalues : NDArray[np.floating] + Array of p-values from multiple tests. + alpha : float + Desired family-wise error rate. + + Returns + ------- + Tuple[NDArray[np.bool_], float] + Boolean mask of significant tests, and corrected alpha threshold. + + Notes + ----- + Bonferroni is very conservative and may miss true effects (low power). + Use when false positives are very costly or when testing few hypotheses. + """ + n_tests = len(pvalues) + alpha_corrected = alpha / n_tests + significant = pvalues < alpha_corrected + + return significant, alpha_corrected + + +def fdr_correction(pvalues: NDArray[np.floating], + alpha: float = 0.05) -> Tuple[NDArray[np.bool_], NDArray[np.floating]]: + """ + Apply FDR correction using Benjamini-Hochberg procedure. + + Controls the false discovery rate (FDR) - the expected proportion + of false positives among all rejected hypotheses. + + Parameters + ---------- + pvalues : NDArray[np.floating] + Array of p-values from multiple tests. + alpha : float + Desired false discovery rate. + + Returns + ------- + Tuple[NDArray[np.bool_], NDArray[np.floating]] + Boolean mask of significant tests, and adjusted p-values. + + Notes + ----- + FDR is less conservative than Bonferroni and has higher power. + Preferred for exploratory analyses with many tests. + + References + ---------- + Benjamini, Y., & Hochberg, Y. (1995). Controlling the false discovery + rate: a practical and powerful approach to multiple testing. + """ + n = len(pvalues) + + # Sort p-values and keep track of original order + sorted_idx = np.argsort(pvalues) + sorted_pvals = pvalues[sorted_idx] + + # Compute BH threshold for each rank + ranks = np.arange(1, n + 1) + bh_threshold = ranks / n * alpha + + # Find the largest p-value below its threshold + below_threshold = sorted_pvals <= bh_threshold + if np.any(below_threshold): + max_below = np.max(np.where(below_threshold)[0]) + reject_sorted = np.arange(n) <= max_below + else: + reject_sorted = np.zeros(n, dtype=bool) + + # Map back to original order + reject = np.zeros(n, dtype=bool) + reject[sorted_idx] = reject_sorted + + # Compute adjusted p-values + adjusted = np.zeros(n) + adjusted[sorted_idx] = np.minimum.accumulate( + (sorted_pvals * n / ranks)[::-1] + )[::-1] + adjusted = np.minimum(adjusted, 1.0) + + return reject, adjusted + + +# ============================================================================ +# Permutation Testing +# ============================================================================ + +def permutation_test(group1: NDArray[np.floating], + group2: NDArray[np.floating], + n_permutations: int = 1000, + statistic: str = 'mean_diff') -> Tuple[float, float, NDArray[np.floating]]: + """ + Perform a permutation test comparing two groups. + + Non-parametric test that makes no assumptions about the underlying + distribution. Tests whether the observed difference could have + occurred by chance under random group assignment. + + Parameters + ---------- + group1 : NDArray[np.floating] + Connectivity values for group 1. + group2 : NDArray[np.floating] + Connectivity values for group 2. + n_permutations : int + Number of permutations to perform. + statistic : str + Test statistic: 'mean_diff' or 't_stat'. + + Returns + ------- + Tuple[float, float, NDArray[np.floating]] + Observed statistic, two-sided p-value, and null distribution. + + Examples + -------- + >>> group1 = np.random.normal(0.3, 0.1, 20) + >>> group2 = np.random.normal(0.5, 0.1, 20) + >>> stat, pval, null = permutation_test(group1, group2) + """ + n1, n2 = len(group1), len(group2) + pooled = np.concatenate([group1, group2]) + + # Compute observed statistic + if statistic == 'mean_diff': + observed = np.mean(group1) - np.mean(group2) + else: + observed = stats.ttest_ind(group1, group2)[0] + + # Generate null distribution + null_stats = np.zeros(n_permutations) + + for i in range(n_permutations): + # Shuffle and split + np.random.shuffle(pooled) + perm_g1 = pooled[:n1] + perm_g2 = pooled[n1:] + + if statistic == 'mean_diff': + null_stats[i] = np.mean(perm_g1) - np.mean(perm_g2) + else: + null_stats[i] = stats.ttest_ind(perm_g1, perm_g2)[0] + + # Two-sided p-value + p_value = np.mean(np.abs(null_stats) >= np.abs(observed)) + + return float(observed), float(p_value), null_stats + + +# ============================================================================ +# Bootstrap Confidence Intervals +# ============================================================================ + +def bootstrap_ci(data: NDArray[np.floating], + statistic: Callable = np.mean, + n_bootstrap: int = 1000, + ci: float = 0.95) -> Tuple[float, float, float, NDArray[np.floating]]: + """ + Compute bootstrap confidence interval for a statistic. + + Parameters + ---------- + data : NDArray[np.floating] + Input data array. + statistic : Callable + Function to compute the statistic. Default: np.mean. + n_bootstrap : int + Number of bootstrap resamples. + ci : float + Confidence level (e.g., 0.95 for 95% CI). + + Returns + ------- + Tuple[float, float, float, NDArray[np.floating]] + Point estimate, CI lower bound, CI upper bound, and bootstrap distribution. + + Notes + ----- + Uses the percentile method for confidence interval estimation. + """ + n = len(data) + point_estimate = float(statistic(data)) + + # Bootstrap resampling + bootstrap_stats = np.zeros(n_bootstrap) + for i in range(n_bootstrap): + resample = np.random.choice(data, size=n, replace=True) + bootstrap_stats[i] = statistic(resample) + + # Percentile method for CI + alpha = (1 - ci) / 2 + ci_lower = float(np.percentile(bootstrap_stats, alpha * 100)) + ci_upper = float(np.percentile(bootstrap_stats, (1 - alpha) * 100)) + + return point_estimate, ci_lower, ci_upper, bootstrap_stats + + +# ============================================================================ +# Effect Size +# ============================================================================ + +def cohens_d(group1: NDArray[np.floating], + group2: NDArray[np.floating]) -> float: + """ + Compute Cohen's d effect size. + + Measures the standardized difference between two group means. + + Parameters + ---------- + group1 : NDArray[np.floating] + First group values. + group2 : NDArray[np.floating] + Second group values. + + Returns + ------- + float + Cohen's d effect size. + + Notes + ----- + Interpretation guidelines (Cohen, 1988): + - |d| < 0.2: negligible + - |d| ~ 0.2: small + - |d| ~ 0.5: medium + - |d| ~ 0.8: large + - |d| > 1.0: very large + """ + n1, n2 = len(group1), len(group2) + var1, var2 = np.var(group1, ddof=1), np.var(group2, ddof=1) + + # Pooled standard deviation + pooled_std = np.sqrt(((n1 - 1) * var1 + (n2 - 1) * var2) / (n1 + n2 - 2)) + + if pooled_std == 0: + return 0.0 + + return float((np.mean(group1) - np.mean(group2)) / pooled_std) + + +def hedges_g(group1: NDArray[np.floating], + group2: NDArray[np.floating]) -> float: + """ + Compute Hedge's g effect size. + + A bias-corrected version of Cohen's d, better for small samples. + + Parameters + ---------- + group1 : NDArray[np.floating] + First group values. + group2 : NDArray[np.floating] + Second group values. + + Returns + ------- + float + Hedge's g effect size. + """ + d = cohens_d(group1, group2) + n = len(group1) + len(group2) + + # Correction factor for small samples + correction = 1 - (3 / (4 * n - 9)) + + return d * correction + + +# ============================================================================ +# Complete Pipeline +# ============================================================================ + +def significance_test_pair(signal1: NDArray[np.floating], + signal2: NDArray[np.floating], + connectivity_func: Callable, + n_surrogates: int = 1000, + method: str = 'phase_shuffle', + alpha: float = 0.05) -> Dict[str, Any]: + """ + Complete significance test for a single pair of signals. + + Parameters + ---------- + signal1 : NDArray[np.floating] + First signal. + signal2 : NDArray[np.floating] + Second signal. + connectivity_func : Callable + Function that computes connectivity between two signals. + n_surrogates : int + Number of surrogates for null distribution. + method : str + Surrogate method: 'phase_shuffle' or 'time_shift'. + alpha : float + Significance level. + + Returns + ------- + Dict[str, Any] + Dictionary with keys: + - 'observed': observed connectivity value + - 'null_mean': mean of null distribution + - 'null_std': std of null distribution + - 'pvalue': p-value + - 'significant': whether result is significant at alpha + - 'null_distribution': full null distribution array + """ + # Compute observed connectivity + observed = connectivity_func(signal1, signal2) + + # Build null distribution + null_dist = build_null_distribution( + signal1, signal2, connectivity_func, + n_surrogates=n_surrogates, method=method + ) + + # Compute p-value + pvalue = compute_pvalue(observed, null_dist, alternative='greater') + + return { + 'observed': float(observed), + 'null_mean': float(np.mean(null_dist)), + 'null_std': float(np.std(null_dist)), + 'pvalue': pvalue, + 'significant': pvalue < alpha, + 'null_distribution': null_dist + } + + +def significance_test_matrix(signals: List[NDArray[np.floating]], + connectivity_func: Callable, + n_surrogates: int = 500, + method: str = 'phase_shuffle', + alpha: float = 0.05, + correction: str = 'fdr') -> Dict[str, Any]: + """ + Complete significance testing pipeline for multiple channel pairs. + + Parameters + ---------- + signals : List[NDArray[np.floating]] + List of signals (one per channel). + connectivity_func : Callable + Function that computes connectivity between two signals. + n_surrogates : int + Number of surrogates per pair. + method : str + Surrogate method: 'phase_shuffle' or 'time_shift'. + alpha : float + Significance level. + correction : str + Multiple comparisons correction: 'bonferroni', 'fdr', or 'none'. + + Returns + ------- + Dict[str, Any] + Dictionary with keys: + - 'connectivity_matrix': matrix of connectivity values + - 'pvalue_matrix': matrix of p-values + - 'significant_matrix': boolean matrix of significant pairs + - 'n_significant': number of significant pairs + - 'correction': correction method used + """ + n_channels = len(signals) + + # Initialize matrices + conn_matrix = np.zeros((n_channels, n_channels)) + pvalue_matrix = np.ones((n_channels, n_channels)) + + # Collect p-values for all pairs + pvalues_flat = [] + pairs_list = [] + + for i in range(n_channels): + for j in range(i + 1, n_channels): + # Test this pair + result = significance_test_pair( + signals[i], signals[j], connectivity_func, + n_surrogates=n_surrogates, method=method, alpha=alpha + ) + + # Store in matrices + conn_matrix[i, j] = result['observed'] + conn_matrix[j, i] = result['observed'] + pvalue_matrix[i, j] = result['pvalue'] + pvalue_matrix[j, i] = result['pvalue'] + + pvalues_flat.append(result['pvalue']) + pairs_list.append((i, j)) + + pvalues_flat = np.array(pvalues_flat) + + # Apply correction + if correction == 'bonferroni': + significant_flat, _ = bonferroni_correction(pvalues_flat, alpha) + elif correction == 'fdr': + significant_flat, _ = fdr_correction(pvalues_flat, alpha) + else: + significant_flat = pvalues_flat < alpha + + # Build significance matrix + sig_matrix = np.zeros((n_channels, n_channels), dtype=bool) + for k, (i, j) in enumerate(pairs_list): + sig_matrix[i, j] = significant_flat[k] + sig_matrix[j, i] = significant_flat[k] + + return { + 'connectivity_matrix': conn_matrix, + 'pvalue_matrix': pvalue_matrix, + 'significant_matrix': sig_matrix, + 'n_significant': int(np.sum(significant_flat)), + 'correction': correction + } diff --git a/ConnectivityMetricsTutorials-main/src/volume_conduction.py b/ConnectivityMetricsTutorials-main/src/volume_conduction.py new file mode 100644 index 0000000..440da00 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/volume_conduction.py @@ -0,0 +1,400 @@ +# ============================================================================ +# Volume Conduction Simulation and Robust Connectivity Metrics +# ============================================================================ +""" +Functions for simulating volume conduction effects and computing +connectivity metrics that are robust to volume conduction artifacts. + +Volume conduction is the instantaneous spread of electrical activity through +conductive brain tissue, causing spurious correlations between EEG electrodes. +""" + +from typing import Optional, Tuple + +import numpy as np +from numpy.typing import NDArray +import scipy.signal + + +def simulate_volume_conduction( + source: NDArray[np.floating], + weights: NDArray[np.floating], + noise_level: float = 0.1, + seed: Optional[int] = None +) -> NDArray[np.floating]: + """ + Simulate volume conduction from a single source to multiple electrodes. + + Each electrode receives a weighted copy of the source signal plus + independent noise. This models the instantaneous spread of electrical + activity through conductive tissue. + + Parameters + ---------- + source : NDArray[np.floating] + Source signal, shape (n_samples,). + weights : NDArray[np.floating] + Weight for each electrode, shape (n_electrodes,). + Higher weight = electrode closer to source. + noise_level : float, optional + Standard deviation of added Gaussian noise. Default is 0.1. + seed : Optional[int], optional + Random seed for reproducibility. Default is None. + + Returns + ------- + NDArray[np.floating] + Electrode signals, shape (n_electrodes, n_samples). + + Examples + -------- + >>> source = np.sin(2 * np.pi * 10 * np.arange(0, 1, 1/256)) + >>> weights = np.array([1.0, 0.7, 0.3]) + >>> electrodes = simulate_volume_conduction(source, weights, noise_level=0.1) + >>> electrodes.shape + (3, 256) + """ + if seed is not None: + np.random.seed(seed) + + n_electrodes = len(weights) + n_samples = len(source) + + # Each electrode receives weighted source + independent noise + electrodes = np.zeros((n_electrodes, n_samples)) + for i, w in enumerate(weights): + electrodes[i] = w * source + noise_level * np.random.randn(n_samples) + + return electrodes + + +def create_mixing_matrix( + source_positions: NDArray[np.floating], + electrode_positions: NDArray[np.floating], + falloff: float = 2.0 +) -> NDArray[np.floating]: + """ + Create a mixing matrix based on distance between sources and electrodes. + + The mixing weight decreases with distance according to an inverse + power law, modeling the spatial spread of electrical fields. + + Parameters + ---------- + source_positions : NDArray[np.floating] + Source positions, shape (n_sources, 2) for 2D or (n_sources, 3) for 3D. + electrode_positions : NDArray[np.floating] + Electrode positions, shape (n_electrodes, 2) or (n_electrodes, 3). + falloff : float, optional + Power law exponent for distance falloff. Default is 2.0. + Higher values = faster falloff with distance. + + Returns + ------- + NDArray[np.floating] + Mixing matrix, shape (n_electrodes, n_sources). + Entry [i, j] is the weight from source j to electrode i. + + Examples + -------- + >>> sources = np.array([[0.0, 0.5], [0.5, 0.5]]) + >>> electrodes = np.array([[0.0, 0.8], [0.3, 0.8], [0.6, 0.8]]) + >>> mixing = create_mixing_matrix(sources, electrodes) + >>> mixing.shape + (3, 2) + """ + n_electrodes = len(electrode_positions) + n_sources = len(source_positions) + + mixing = np.zeros((n_electrodes, n_sources)) + + for i, elec_pos in enumerate(electrode_positions): + for j, src_pos in enumerate(source_positions): + distance = np.linalg.norm(elec_pos - src_pos) + # Inverse power law with small offset to avoid division by zero + mixing[i, j] = 1.0 / (distance + 0.1) ** falloff + + # Normalize each electrode's weights to sum to 1 + mixing = mixing / mixing.sum(axis=1, keepdims=True) + + return mixing + + +def apply_mixing( + sources: NDArray[np.floating], + mixing_matrix: NDArray[np.floating], + noise_level: float = 0.1, + seed: Optional[int] = None +) -> NDArray[np.floating]: + """ + Apply a mixing matrix to source signals to simulate electrode recordings. + + This models volume conduction where each electrode receives a weighted + sum of all source signals. + + Parameters + ---------- + sources : NDArray[np.floating] + Source signals, shape (n_sources, n_samples). + mixing_matrix : NDArray[np.floating] + Mixing matrix, shape (n_electrodes, n_sources). + noise_level : float, optional + Standard deviation of added noise. Default is 0.1. + seed : Optional[int], optional + Random seed for reproducibility. Default is None. + + Returns + ------- + NDArray[np.floating] + Electrode signals, shape (n_electrodes, n_samples). + + Examples + -------- + >>> sources = np.random.randn(3, 256) # 3 sources, 256 samples + >>> mixing = np.array([[0.8, 0.15, 0.05], [0.1, 0.8, 0.1]]) # 2 electrodes + >>> electrodes = apply_mixing(sources, mixing) + >>> electrodes.shape + (2, 256) + """ + if seed is not None: + np.random.seed(seed) + + n_electrodes = mixing_matrix.shape[0] + n_samples = sources.shape[1] + + # Apply mixing: electrodes = mixing @ sources + electrodes = mixing_matrix @ sources + + # Add independent noise to each electrode + electrodes += noise_level * np.random.randn(n_electrodes, n_samples) + + return electrodes + + +def compute_cross_correlation( + signal_1: NDArray[np.floating], + signal_2: NDArray[np.floating], + max_lag: Optional[int] = None +) -> Tuple[NDArray[np.floating], NDArray[np.integer]]: + """ + Compute normalized cross-correlation between two signals. + + Cross-correlation measures similarity as a function of time lag. + Volume conduction produces maximum correlation at zero lag. + + Parameters + ---------- + signal_1 : NDArray[np.floating] + First input signal. + signal_2 : NDArray[np.floating] + Second input signal (same length as signal_1). + max_lag : Optional[int], optional + Maximum lag to compute (in samples). Default is len(signal_1) // 2. + + Returns + ------- + Tuple[NDArray[np.floating], NDArray[np.integer]] + - Cross-correlation values, normalized to [-1, 1]. + - Corresponding lag values in samples. + + Examples + -------- + >>> t = np.arange(0, 1, 1/256) + >>> s1 = np.sin(2 * np.pi * 10 * t) + >>> s2 = np.sin(2 * np.pi * 10 * t + 0.1) # Slightly delayed + >>> xcorr, lags = compute_cross_correlation(s1, s2) + >>> peak_lag = lags[np.argmax(xcorr)] + """ + if max_lag is None: + max_lag = len(signal_1) // 2 + + # Normalize signals + s1_norm = (signal_1 - np.mean(signal_1)) / (np.std(signal_1) + 1e-10) + s2_norm = (signal_2 - np.mean(signal_2)) / (np.std(signal_2) + 1e-10) + + # Full cross-correlation + xcorr_full = scipy.signal.correlate(s1_norm, s2_norm, mode='full') + xcorr_full /= len(signal_1) # Normalize + + # Extract centered portion + center = len(xcorr_full) // 2 + xcorr = xcorr_full[center - max_lag:center + max_lag + 1] + lags = np.arange(-max_lag, max_lag + 1) + + return xcorr, lags + + +def compute_pli( + signal_1: NDArray[np.floating], + signal_2: NDArray[np.floating] +) -> np.floating: + """ + Compute Phase Lag Index between two signals. + + PLI measures the asymmetry of the phase difference distribution. + It is robust to volume conduction because zero-lag mixing produces + symmetric phase differences (around 0), leading to PLI = 0. + + Parameters + ---------- + signal_1 : NDArray[np.floating] + First input signal. + signal_2 : NDArray[np.floating] + Second input signal. + + Returns + ------- + np.floating + Phase Lag Index value between 0 and 1. + 0 = no consistent lead/lag (or volume conduction) + 1 = perfect consistent lead/lag relationship + + Notes + ----- + PLI is defined as: + PLI = |mean(sign(Δφ))| + + where Δφ is the instantaneous phase difference. + + References + ---------- + Stam, C. J., Nolte, G., & Daffertshofer, A. (2007). Phase lag index: + assessment of functional connectivity from multi channel EEG and MEG + with diminished bias from common sources. Human brain mapping, 28(11), + 1178-1193. + + Examples + -------- + >>> t = np.arange(0, 2, 1/256) + >>> s1 = np.sin(2 * np.pi * 10 * t) + >>> s2 = np.sin(2 * np.pi * 10 * t + np.pi/4) # 45° phase lag + >>> pli = compute_pli(s1, s2) + >>> pli > 0.8 # Should be high for consistent lag + True + """ + # Get instantaneous phases via Hilbert transform + analytic_1 = scipy.signal.hilbert(signal_1) + analytic_2 = scipy.signal.hilbert(signal_2) + + phase_1 = np.angle(analytic_1) + phase_2 = np.angle(analytic_2) + + # Compute phase difference + phase_diff = phase_2 - phase_1 + + # Wrap to [-pi, pi] + phase_diff = np.arctan2(np.sin(phase_diff), np.cos(phase_diff)) + + # PLI = |mean(sign(phase_diff))| + pli = np.abs(np.mean(np.sign(phase_diff))) + + return pli + + +def simulate_volume_conduction_scenario( + fs: int = 256, + duration: float = 5.0, + freq: float = 10.0, + mixing_strength: float = 0.5, + noise_level: float = 0.1, + seed: Optional[int] = None +) -> Tuple[NDArray[np.floating], NDArray[np.floating], NDArray[np.floating]]: + """ + Simulate a volume conduction scenario with one source and two electrodes. + + Both electrodes receive the same source signal with different weights, + creating spurious connectivity that is not due to neural communication. + + Parameters + ---------- + fs : int, optional + Sampling frequency in Hz. Default is 256. + duration : float, optional + Duration in seconds. Default is 5.0. + freq : float, optional + Frequency of the source signal in Hz. Default is 10.0. + mixing_strength : float, optional + How much the source contributes to electrode 2 (0 to 1). Default is 0.5. + noise_level : float, optional + Standard deviation of added noise. Default is 0.1. + seed : Optional[int], optional + Random seed for reproducibility. Default is None. + + Returns + ------- + Tuple[NDArray, NDArray, NDArray] + - Time vector. + - Electrode 1 signal. + - Electrode 2 signal. + + Examples + -------- + >>> t, e1, e2 = simulate_volume_conduction_scenario(mixing_strength=0.8) + >>> # e1 and e2 will show high PLV but low PLI + """ + if seed is not None: + np.random.seed(seed) + + t = np.arange(0, duration, 1/fs) + + # Source signal + source = np.sin(2 * np.pi * freq * t) + + # Electrode signals (both receive the same source, different weights) + electrode_1 = source + noise_level * np.random.randn(len(t)) + electrode_2 = mixing_strength * source + noise_level * np.random.randn(len(t)) + + return t, electrode_1, electrode_2 + + +def simulate_true_connectivity_scenario( + fs: int = 256, + duration: float = 5.0, + freq: float = 10.0, + phase_lag: float = np.pi/4, + noise_level: float = 0.1, + seed: Optional[int] = None +) -> Tuple[NDArray[np.floating], NDArray[np.floating], NDArray[np.floating]]: + """ + Simulate a true connectivity scenario with consistent phase lag. + + The two signals have a consistent phase relationship that represents + genuine neural communication, not volume conduction artifact. + + Parameters + ---------- + fs : int, optional + Sampling frequency in Hz. Default is 256. + duration : float, optional + Duration in seconds. Default is 5.0. + freq : float, optional + Frequency of the oscillation in Hz. Default is 10.0. + phase_lag : float, optional + Phase lag between signals in radians. Default is π/4 (45°). + noise_level : float, optional + Standard deviation of added noise. Default is 0.1. + seed : Optional[int], optional + Random seed for reproducibility. Default is None. + + Returns + ------- + Tuple[NDArray, NDArray, NDArray] + - Time vector. + - Signal 1. + - Signal 2 (phase-lagged relative to signal 1). + + Examples + -------- + >>> t, s1, s2 = simulate_true_connectivity_scenario(phase_lag=np.pi/4) + >>> # Both PLV and PLI should be high + """ + if seed is not None: + np.random.seed(seed) + + t = np.arange(0, duration, 1/fs) + + # Two signals with consistent phase lag + signal_1 = np.sin(2 * np.pi * freq * t) + noise_level * np.random.randn(len(t)) + signal_2 = np.sin(2 * np.pi * freq * t + phase_lag) + noise_level * np.random.randn(len(t)) + + return t, signal_1, signal_2 diff --git a/ConnectivityMetricsTutorials-main/src/wavelets.py b/ConnectivityMetricsTutorials-main/src/wavelets.py new file mode 100644 index 0000000..6ab96c6 --- /dev/null +++ b/ConnectivityMetricsTutorials-main/src/wavelets.py @@ -0,0 +1,430 @@ +""" +Wavelet analysis functions for time-frequency decomposition. + +This module provides functions for wavelet-based time-frequency analysis, +particularly using complex Morlet wavelets which are standard in EEG research. + +Functions +--------- +create_morlet_wavelet + Create a complex Morlet wavelet at a given frequency. +wavelet_convolution + Convolve a signal with a complex wavelet using FFT. +compute_wavelet_transform + Compute the full wavelet transform (time-frequency representation). +compute_wavelet_power + Compute time-frequency power from wavelet transform. +compute_wavelet_phase + Extract instantaneous phase at multiple frequencies. +compute_adaptive_cycles + Compute frequency-adaptive number of cycles. +compute_edge_samples + Calculate samples affected by edge effects. +""" + +from typing import Tuple, Union, Optional + +import numpy as np +from numpy.typing import NDArray + + +def create_morlet_wavelet( + frequency: float, + fs: float, + n_cycles: float = 5.0, + return_time: bool = False +) -> Union[NDArray[np.complex128], Tuple[NDArray[np.complex128], NDArray[np.float64]]]: + """ + Create a complex Morlet wavelet at a specified frequency. + + The Morlet wavelet is a complex sinusoid tapered by a Gaussian envelope. + It is widely used in EEG analysis for time-frequency decomposition. + + Parameters + ---------- + frequency : float + Center frequency of the wavelet in Hz. + fs : float + Sampling frequency in Hz. + n_cycles : float, optional + Number of cycles in the Gaussian envelope. Controls the trade-off + between time and frequency resolution. Default is 5.0. + return_time : bool, optional + If True, also return the time vector. Default is False. + + Returns + ------- + wavelet : ndarray of complex128 + Complex Morlet wavelet. + time : ndarray of float64, optional + Time vector in seconds (only if return_time=True). + + Notes + ----- + The wavelet is constructed as: + + w(t) = exp(2πift) · exp(-t²/(2σ²)) + + where σ = n_cycles / (2πf) controls the Gaussian width. + + Examples + -------- + >>> wavelet = create_morlet_wavelet(10.0, 256, n_cycles=5) + >>> len(wavelet) + 128 + >>> wavelet, time = create_morlet_wavelet(10.0, 256, return_time=True) + """ + # Gaussian width in seconds + sigma_t = n_cycles / (2 * np.pi * frequency) + + # Time vector (±3 sigma covers >99% of Gaussian) + duration = 6 * sigma_t + n_samples = int(np.ceil(duration * fs)) + # Ensure odd number for symmetry + if n_samples % 2 == 0: + n_samples += 1 + + time = np.arange(n_samples) / fs - duration / 2 + + # Create complex Morlet wavelet + # Gaussian envelope + gaussian = np.exp(-time**2 / (2 * sigma_t**2)) + # Complex sinusoid + sinusoid = np.exp(2j * np.pi * frequency * time) + # Combine + wavelet = gaussian * sinusoid + + # Normalize to unit energy + wavelet = wavelet / np.sqrt(np.sum(np.abs(wavelet)**2)) + + if return_time: + return wavelet, time + return wavelet + + +def wavelet_convolution( + signal: NDArray[np.float64], + wavelet: NDArray[np.complex128], + mode: str = 'same' +) -> NDArray[np.complex128]: + """ + Convolve a signal with a complex wavelet using FFT for efficiency. + + Parameters + ---------- + signal : ndarray of float64 + Input signal (1D array). + wavelet : ndarray of complex128 + Complex wavelet (e.g., Morlet wavelet). + mode : str, optional + Convolution mode. 'same' returns output with same length as signal. + Default is 'same'. + + Returns + ------- + result : ndarray of complex128 + Complex-valued convolution result. The magnitude gives power, + and the angle gives instantaneous phase. + + Notes + ----- + Uses FFT-based convolution (convolution theorem) for efficiency: + + conv(s, w) = ifft(fft(s) * fft(w)) + + Examples + -------- + >>> signal = np.sin(2 * np.pi * 10 * np.linspace(0, 1, 256)) + >>> wavelet = create_morlet_wavelet(10, 256, n_cycles=5) + >>> result = wavelet_convolution(signal, wavelet) + >>> power = np.abs(result) ** 2 + """ + # Determine FFT size (next power of 2 for efficiency) + n_signal = len(signal) + n_wavelet = len(wavelet) + n_conv = n_signal + n_wavelet - 1 + n_fft = int(2 ** np.ceil(np.log2(n_conv))) + + # FFT of signal and wavelet + signal_fft = np.fft.fft(signal, n=n_fft) + wavelet_fft = np.fft.fft(wavelet, n=n_fft) + + # Multiply in frequency domain (convolution theorem) + result_fft = signal_fft * wavelet_fft + + # Inverse FFT + result = np.fft.ifft(result_fft) + + # Trim to match 'same' mode + if mode == 'same': + # Remove half the wavelet length from each end + start = (n_wavelet - 1) // 2 + result = result[start:start + n_signal] + + return result + + +def compute_wavelet_transform( + signal: NDArray[np.float64], + frequencies: NDArray[np.float64], + fs: float, + n_cycles: Union[float, NDArray[np.float64]] = 5.0 +) -> NDArray[np.complex128]: + """ + Compute the wavelet transform of a signal at multiple frequencies. + + Parameters + ---------- + signal : ndarray of float64 + Input signal (1D array). + frequencies : ndarray of float64 + Array of frequencies to analyze (in Hz). + fs : float + Sampling frequency in Hz. + n_cycles : float or ndarray, optional + Number of cycles for the wavelets. Can be a single value + or an array matching the length of frequencies. Default is 5.0. + + Returns + ------- + tfr : ndarray of complex128 + Time-frequency representation, shape (n_frequencies, n_times). + + Notes + ----- + For each frequency, creates a Morlet wavelet and convolves it with + the signal. The result is complex-valued: magnitude gives power, + angle gives phase. + + Examples + -------- + >>> signal = np.random.randn(1000) + >>> freqs = np.arange(5, 40, 1) + >>> tfr = compute_wavelet_transform(signal, freqs, fs=256) + >>> power = np.abs(tfr) ** 2 + """ + n_freqs = len(frequencies) + n_times = len(signal) + + # Handle n_cycles as array + if np.isscalar(n_cycles): + n_cycles_arr = np.full(n_freqs, n_cycles) + else: + n_cycles_arr = np.asarray(n_cycles) + + # Initialize output + tfr = np.zeros((n_freqs, n_times), dtype=np.complex128) + + # Compute wavelet transform for each frequency + for i, (freq, nc) in enumerate(zip(frequencies, n_cycles_arr)): + wavelet = create_morlet_wavelet(freq, fs, n_cycles=nc) + tfr[i, :] = wavelet_convolution(signal, wavelet) + + return tfr + + +def compute_wavelet_power( + signal: NDArray[np.float64], + frequencies: NDArray[np.float64], + fs: float, + n_cycles: Union[float, NDArray[np.float64]] = 5.0, + baseline: Optional[Tuple[float, float]] = None, + baseline_mode: str = 'percent' +) -> NDArray[np.float64]: + """ + Compute time-frequency power from wavelet transform. + + Parameters + ---------- + signal : ndarray of float64 + Input signal (1D array). + frequencies : ndarray of float64 + Array of frequencies to analyze (in Hz). + fs : float + Sampling frequency in Hz. + n_cycles : float or ndarray, optional + Number of cycles for the wavelets. Default is 5.0. + baseline : tuple of (start, end), optional + Baseline period in seconds for normalization. + baseline_mode : str, optional + Baseline normalization mode: 'percent', 'zscore', or 'ratio'. + Default is 'percent'. + + Returns + ------- + power : ndarray of float64 + Time-frequency power, shape (n_frequencies, n_times). + + Notes + ----- + Power is computed as the squared magnitude of the wavelet transform: + + power = |W(t, f)|² + + Baseline normalization is applied if a baseline period is specified. + + Examples + -------- + >>> signal = np.random.randn(1000) + >>> freqs = np.arange(5, 40, 1) + >>> power = compute_wavelet_power(signal, freqs, fs=256) + """ + tfr = compute_wavelet_transform(signal, frequencies, fs, n_cycles) + power = np.abs(tfr) ** 2 + + # Apply baseline normalization + if baseline is not None: + times = np.arange(len(signal)) / fs + baseline_mask = (times >= baseline[0]) & (times <= baseline[1]) + baseline_power = power[:, baseline_mask].mean(axis=1, keepdims=True) + + if baseline_mode == 'ratio': + power = power / baseline_power + elif baseline_mode == 'zscore': + baseline_std = power[:, baseline_mask].std(axis=1, keepdims=True) + power = (power - baseline_power) / baseline_std + elif baseline_mode == 'percent': + power = (power - baseline_power) / baseline_power * 100 + + return power + + +def compute_wavelet_phase( + signal: NDArray[np.float64], + frequencies: NDArray[np.float64], + fs: float, + n_cycles: Union[float, NDArray[np.float64]] = 5.0 +) -> NDArray[np.float64]: + """ + Compute instantaneous phase at multiple frequencies using wavelets. + + Parameters + ---------- + signal : ndarray of float64 + Input signal (1D array). + frequencies : ndarray of float64 + Array of frequencies to analyze (in Hz). + fs : float + Sampling frequency in Hz. + n_cycles : float or ndarray, optional + Number of cycles for the wavelets. Default is 5.0. + + Returns + ------- + phase : ndarray of float64 + Phase values in radians, shape (n_frequencies, n_times). + Values are in [-π, π]. + + Notes + ----- + Phase is extracted from the complex wavelet transform: + + phase = arctan(Im(W) / Re(W)) = angle(W) + + This is useful for phase-based connectivity metrics like PLV. + + Examples + -------- + >>> signal = np.sin(2 * np.pi * 10 * np.linspace(0, 1, 256)) + >>> freqs = np.array([10.0]) + >>> phase = compute_wavelet_phase(signal, freqs, fs=256) + """ + tfr = compute_wavelet_transform(signal, frequencies, fs, n_cycles) + return np.angle(tfr) + + +def compute_adaptive_cycles( + frequencies: NDArray[np.float64], + min_cycles: float = 3.0, + max_cycles: float = 10.0, + scaling: str = 'linear' +) -> NDArray[np.float64]: + """ + Compute frequency-adaptive number of cycles for wavelet analysis. + + Parameters + ---------- + frequencies : ndarray of float64 + Array of frequencies in Hz. + min_cycles : float, optional + Minimum number of cycles. Default is 3.0. + max_cycles : float, optional + Maximum number of cycles. Default is 10.0. + scaling : str, optional + Scaling method: 'linear' or 'log'. Default is 'linear'. + + Returns + ------- + n_cycles : ndarray of float64 + Array of n_cycles values, one per frequency. + + Notes + ----- + - Linear scaling: n_cycles = freq / 2, bounded by min/max. + - Log scaling: n_cycles scales with log2(freq). + + Using adaptive n_cycles helps maintain consistent time-frequency + resolution across the frequency spectrum. + + Examples + -------- + >>> freqs = np.arange(5, 50, 5) + >>> n_cycles = compute_adaptive_cycles(freqs) + """ + frequencies = np.asarray(frequencies) + + if scaling == 'linear': + n_cycles = frequencies / 2.0 + elif scaling == 'log': + n_cycles = np.log2(frequencies) * 2 + else: + raise ValueError(f"Unknown scaling: {scaling}") + + # Apply bounds + n_cycles = np.clip(n_cycles, min_cycles, max_cycles) + + return n_cycles + + +def compute_edge_samples( + frequency: float, + fs: float, + n_cycles: float = 5.0, + n_sigma: float = 3.0 +) -> int: + """ + Compute the number of samples affected by edge effects. + + Parameters + ---------- + frequency : float + Wavelet center frequency in Hz. + fs : float + Sampling frequency in Hz. + n_cycles : float, optional + Number of cycles in the wavelet. Default is 5.0. + n_sigma : float, optional + Number of standard deviations to consider. Default is 3.0 + (covers >99% of Gaussian). + + Returns + ------- + n_edge : int + Number of samples affected by edge effects at each end. + + Notes + ----- + The edge effect extends approximately: + + N_edge = n_sigma * n_cycles * fs / (2π * f) + + Lower frequencies have longer wavelets and thus more edge effects. + + Examples + -------- + >>> n_edge = compute_edge_samples(10.0, 256, n_cycles=5) + >>> print(f"Exclude first and last {n_edge} samples") + """ + sigma_t = n_cycles / (2 * np.pi * frequency) + n_edge = int(np.ceil(n_sigma * sigma_t * fs)) + return n_edge diff --git a/getting_started.ipynb b/getting_started.ipynb deleted file mode 100644 index 52e005d..0000000 --- a/getting_started.ipynb +++ /dev/null @@ -1,1712 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# 🧹 *****BrainHack Montreal 2026*****\n", - "\n", - "Contributor: Joaquim Streicher\n", - "\n", - "Date: 2026-01-28\n", - "\n", - "## ***Main modifications***\n", - "I tried to merge the three following tutorials into one:\n", - "\n", - "https://github.com/ppsp-team/HyPyP/blob/master/tutorial/getting_started.ipynb\n", - "\n", - "https://github.com/ppsp-team/workshops/blob/practicalmeeg-2025/01_-_Short_Getting_Started.ipynb\n", - "\n", - "https://github.com/Ramdam17/ConnectivityMetricsTutorials/tree/main\n", - "\n", - "I also attempted to simplify steps to make it more straight-to-the-point for a total beginner." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "y-pfFSz18Q4H" - }, - "source": [ - "# HyPyP Demonstration Notebook\n", - "\n", - "Authors : Guillaume Dumas, Anaël Ayrolles, Florence Brun\n", - "\n", - "Date : 2022-11-03\n", - "\n", - "This notebook demonstrates the basic functionalities of the [HyPyP](https://github.com/ppsp-team/HyPyP/tree/master) library for hyperscanning EEG analysis. \n", - "\n", - "In this notebook we:\n", - "- **Load libraries** for core operations, data science, visualization, and EEG analysis (using MNE).\n", - "- **Set analysis parameters** such as frequency bands.\n", - "- **Load and preprocess data** (including ICA correction and autoreject) for two participants.\n", - "- **Perform analyses** such as power spectral density (PSD) estimation and connectivity analysis.\n", - "- **Run statistical tests** (parametric and non-parametric cluster-based permutations) on the computed data.\n", - "- **Visualize** the results with sensor maps and connectivity projections in both 2D and 3D.\n", - "\n", - "The expected outputs are cleaned EEG epochs, PSD values, connectivity matrices, statistical test results, and visualizations that help interpret inter- and intra-brain connectivity." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "A4IgW3om9IU0" - }, - "source": [ - "## Load useful libs" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "k8CzpXYK-r3e" - }, - "source": [ - "### Core" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "***JS modifs: Deleted unused libraries***" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 156, - "status": "ok", - "timestamp": 1655930106982, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "vo3ERaid-iPl", - "outputId": "f05795e1-7150-4a01-fa69-97163463cdb1" - }, - "outputs": [], - "source": [ - "from copy import copy\n", - "from collections import OrderedDict\n", - "import requests\n", - "import tempfile # For creating temporary files" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "znOQzh9r-1Yx" - }, - "source": [ - "### Data science" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "executionInfo": { - "elapsed": 129, - "status": "ok", - "timestamp": 1655930432883, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "7ucpsQ-B-3gW" - }, - "outputs": [], - "source": [ - "import numpy as np # JS: maybe not necessary\n", - "import scipy" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "sW7qWiIs-7O6" - }, - "source": [ - "### Visualization" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "executionInfo": { - "elapsed": 7074, - "status": "ok", - "timestamp": 1655930117639, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "Td3SvvL5-_ZS" - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Dhe5T4sg_pLL" - }, - "source": [ - "### MNE" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "executionInfo": { - "elapsed": 9, - "status": "ok", - "timestamp": 1655930117640, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "44EAOkjB_tSD" - }, - "outputs": [], - "source": [ - "import mne" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "11_d8YYB_xAH" - }, - "source": [ - "### HyPyP" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "executionInfo": { - "elapsed": 9, - "status": "ok", - "timestamp": 1655930117642, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "KbeUfCja_0e6" - }, - "outputs": [], - "source": [ - "from hypyp import prep \n", - "from hypyp import analyses\n", - "from hypyp import stats\n", - "from hypyp import viz" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "GhNB0IGwBIH7" - }, - "source": [ - "## Setting Analysis Parameters\n", - "\n", - "We define the frequency bands used in the study. Here we use two bands within the Alpha range. We also use an `OrderedDict` to preserve the order of the bands.\n", - "\n", - "# ***JS modifs & suggestions:***\n", - "- Could explain more why selected bands\n", - "- Unclear why OrderedDict." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "executionInfo": { - "elapsed": 155, - "status": "ok", - "timestamp": 1655930118883, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "Hra1lCwpBMmX" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Frequency bands: OrderedDict([('Alpha-Low', [7.5, 11]), ('Alpha-High', [11.5, 13])])\n" - ] - } - ], - "source": [ - "# Define frequency bands as a dictionary\n", - "freq_bands = {\n", - " 'Alpha-Low': [7.5, 11],\n", - " 'Alpha-High': [11.5, 13]\n", - "}\n", - "\n", - "# Convert to an OrderedDict to keep the defined order\n", - "freq_bands = OrderedDict(freq_bands)\n", - "print('Frequency bands:', freq_bands)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "MqKQJkbyDztm" - }, - "source": [ - "# ***JS: USE SIMULATED DATA INSTEAD***\n", - "\n", - "tets\n", - "\n", - "## Loading Data \n", - "\n", - "In this section we download the EEG datasets for two participants, convert them to MNE Epochs, and equalize the number of epochs across participants. \n", - "\n", - "The function `get_data` downloads a dataset from a given URL and saves it to a temporary file with an MNE-compatible filename." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 2738, - "status": "ok", - "timestamp": 1655930127424, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "ZQKz8DmyEJdD", - "outputId": "2cf8461d-e2de-4e56-be9f-ec00f393bcaf" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading C:\\Users\\Joaquim\\AppData\\Local\\Temp\\tmpmwo70uow-epo.fif ...\n", - " Found the data of interest:\n", - " t = -500.00 ... 500.00 ms\n", - " 0 CTF compensation matrices available\n", - "Not setting metadata\n", - "260 matching events found\n", - "No baseline correction applied\n", - "0 projection items activated\n", - "Reading C:\\Users\\Joaquim\\AppData\\Local\\Temp\\tmpcnf460t7-epo.fif ...\n", - " Found the data of interest:\n", - " t = -500.00 ... 500.00 ms\n", - " 0 CTF compensation matrices available\n", - "Not setting metadata\n", - "36 matching events found\n", - "No baseline correction applied\n", - "0 projection items activated\n" - ] - } - ], - "source": [ - "# Template URL for downloading participant data\n", - "URL_TEMPLATE = \"https://github.com/ppsp-team/HyPyP/blob/master/data/participant{}-epo.fif?raw=true\"\n", - "\n", - "def get_data(idx):\n", - " \"\"\"\n", - " Download EEG data for a given participant index and save it to a temporary file.\n", - " \n", - " Parameters:\n", - " idx (int): Participant index number.\n", - " \n", - " Returns:\n", - " str: File path of the temporary file containing the EEG data.\n", - " \"\"\"\n", - " \n", - " # Format the URL with the participant index\n", - " url = URL_TEMPLATE.format(idx)\n", - " \n", - " # Download the data\n", - " response = requests.get(url)\n", - " \n", - " # Save the content to a temporary file with the suffix '-epo.fif'\n", - " temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=\"-epo.fif\")\n", - " temp_file.write(response.content)\n", - " temp_file.close()\n", - " \n", - " return temp_file.name\n", - "\n", - "# Load epochs for two participants using MNE\n", - "epo1 = mne.read_epochs(\n", - " get_data(1),\n", - " preload=True,\n", - ") \n", - "\n", - "epo2 = mne.read_epochs(\n", - " get_data(2),\n", - " preload=True,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "CySwVIa4FYTg" - }, - "source": [ - "Since our example dataset was not initially dedicated to hyperscanning, we need to equalize the number of epochs between our two participants." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 276, - "status": "ok", - "timestamp": 1655930131060, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "_Sd3cH2vFcwP", - "outputId": "9d32b0e0-0b7f-4490-d9d9-26f51f96957d" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dropped 224 epochs: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 117, 118, 119, 120, 121, 122, 125, 126, 127, 128, 130, 131, 134, 135, 136, 137, 138, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 172, 173, 175, 176, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 219, 220, 221, 222, 223, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259\n", - "Dropped 0 epochs: \n", - "Sampling rate: 500.0\n" - ] - } - ], - "source": [ - "# Equalize the number of epochs between participants\n", - "mne.epochs.equalize_epoch_counts([epo1, epo2])\n", - "\n", - "# Define sampling frequency from the first participant's data\n", - "sampling_rate = epo1.info['sfreq']\n", - "print('Sampling rate:', sampling_rate)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "6-4jzVNbGs4R" - }, - "source": [ - "## Preprocessing Epochs\n", - "\n", - "### ICA Correction ***JS: not clear why selecting subject + ICA***\n", - "\n", - "We perform Independent Component Analysis (ICA) on the data from both participants to identify and remove artefactual components. First, we compute the ICA using the HyPyP function `ICA_fit` and then choose the relevant components for artefact rejection using `ICA_choice_comp`." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 31515, - "status": "ok", - "timestamp": 1655930168866, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "2w8HX49THEKh", - "outputId": "1554aeb7-e612-4bea-9f22-28940f0c18da" - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Estimating rejection dictionary for eeg\n", - "The rejection dictionary is {'eeg': np.float64(0.00010129807784293706)}\n", - "0 bad epochs dropped\n", - "Fitting ICA to data using 31 channels (please be patient, this may take a while)\n", - "Selecting by number: 15 components\n", - "Computing Extended Infomax ICA\n", - "Fitting ICA took 1.5s.\n", - "Estimating rejection dictionary for eeg\n", - "The rejection dictionary is {'eeg': np.float64(4.747409473367548e-05)}\n", - " Rejecting epoch based on EEG : ['Fp1', 'F7', 'FT10', 'T8', 'TP10']\n", - " Rejecting epoch based on EEG : ['Fp1', 'FT10', 'TP10', 'O1']\n", - " Rejecting epoch based on EEG : ['Fp1', 'FT10']\n", - " Rejecting epoch based on EEG : ['O1']\n", - "4 bad epochs dropped\n", - "Fitting ICA to data using 31 channels (please be patient, this may take a while)\n", - "Selecting by number: 15 components\n", - "Computing Extended Infomax ICA\n", - "Fitting ICA took 1.9s.\n" - ] - }, - { - "data": { - "image/png": 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ubeHbb79FcHAw3f7mm29SovH111/zH5jjiWoLo0ePpkSfBFDmSD840f4PsXPnTjp56datGywWC13Xo0cP2oCIlEoPst4X9Nt87Rvofqlt4+B43NoCB0dmQGZrC3PmzMFXX31FNXivvfZaGp6Eg+PxaAuE0Pz777/YsmULhg4diokTJ2LQoEHpeCIOjkezLRw4cACTJk3Cjz/+iCxZsvCf8T7AiXY6Ubx4cbok0qVAMXfuXLok6SPi4uJoIaH9GzVqhNWrV9PvMvLmzWsoaY2NjdVIpMh+BL72ZSVXvs5JUgo4HA5DKRcHx+PYFjg4HgQe9bZANCh9+/bFu+++S8kFB8eT2BaIe13dunWpqe/48ePxxRdf0BRfR44cCfhZODge5bZAzNXbt29P24F8fZvNRrclJCQgMTGR/8ABghPtdKJw4cI07+jWrVuRkpKS6v7x8fG0cRDUq1cPuXPnVgrxhSMVeMmSJcr+5NwnTpzwOo+8rmrVqpqlr33l7fI579y5g8jISL/n5OB43NsCB8eDwKPcFgjJ7t27N9WgzJo1i1uAcDyxbUGP+vXr0+X58+dT3ZeD43FoC8Sve+XKlZprE5cKgjJlyuC5557jP3SA4ET7PkD8F0iwjPfff98rOAFBUlISbVgEpFGQwALjxo2j/hX6QpLGs+YgRIp19uxZ7N+/X1lHgnMsWrQIDRo0QJEiReg64r9BBgGynvhSyNi3bx/OnTtHJVIyiBkgMQ1ZuHChV8AFYhrSvHnz+3kdHE8wHrW2wMHxoPAotgUyBhCS3bVrV2o6zt0sOJ7UtmAE2Se2bNmy9/lGOJ5UPGptwei6RAhLsHbtWjpOcASI9IQqf1JhlIB+9OjRdN2zzz4rzJs3T9i5c6ewadMmYezYsULhwoWVBPR16tShof2tVqvhuT/66CN6nqNHj9LvJF9jlSpVhKeeeoqm3dq2bZvQrl07wwT0O3bsoOvJdrIf2Z8cZ5SAvnfv3kJoaKgwceJEep4RI0bQ3NpfffXVA3hjHI8rHoe2QI5duXIlLWFhYcILL7ygfI+Ojn4Ab43jccSj3hZIfleSn7V27do0n+o///yjKTx3MMeT0hY+++wzoW/fvnQ7OcfatWuFfv360RRLb7zxBq8IHE9MWzACT++VPnCifZ8Nh4A0lg4dOtCGQvLN5ciRQ3jmmWcomSVJ6I8dO0aPkxuREc6ePUv3GTRokLIuMjJSeOedd4Q8efJQIvD000/ThmEEkmOPbCf7kf3JcVFRUV77ORwO2liKFy9O80KS3HlTpkxJy2vg4Hgs2kLjxo3pdYwKGYw4OJ6EttCtWzef7YCUK1eu8IrA8US0hXXr1tGcxAULFqRkJFu2bEL9+vXpHInn0OZ4ktqCETjRTh9M5E+g2m8ODg4ODg4ODg4ODg4ODg7/4D7aHBwcHBwcHBwcHBwcHBwZCE60OTg4ODg4ODg4ODg4ODgyEJxoc3BwcHBwcHBwcHBwcHBkIDjR5uDg4ODg4ODg4ODg4ODIQHCizcHBwcHBwcHBwcHBwcGRgeBEm4ODg4ODg4ODg4ODg4MjAxGUkSfj8A85k5qUv1z8rnz2iFlLxT/SXxEm9hP5bzLBZDLTJUwmOJ1OmM1mhISE8J+A45EArfsOKzzWJAjWRLGkiMVjTYTH4QDcLgguFzwusnSTpgK5mQiCCabgUJjDc4glW05YsueEJUduBOXMDXNo2MN+RA6OdI8LHs0YoY4HYt0XxwR5HRkGxKUJZjo2iMVsVr9zcDzqbcEjtwWp4gvyXIkspCoufpTqvVT/lWLmbYHj0QGt/wA8HrX+K23BQ0cCZmfmQJEmSP2+3BagHRv4uPCfghPtBwBlgPC4IXg8UuOQRwSvvTUE2/B8fq9mQnxCPD4Y/CHmzZ8vDjN0UDHTYiGDjZkbLnA8HHjcblw5dRQlcmWBJy4KnrhoCCnxEFKSAY+Ltg+RPXvEz2RQ8ZDPZOmG4PbA4/ZQou0hZJss3eSztM4trZO3k21uDxAUAku2nAjOVxChxcsgS8kyCCtRBsF58/OqwPGQxwUPLRqBq7yPsq/B8bpt2l0k2iENJxInkdYJEukwI8gilmALGRv4uMDx6LQF7+8M0ZaFUNIHVjAlflfPSwg3qftBZrU98LbA8bBA6rzbQ4qHFheZ8+jaghFk8amRGFWUraYuYJUFUCJX4HzhQYET7Ywm1ZQkeHR7SSImwxMof9KNnDlzIiEhQbkf0khddPCS7s8EWExSQ+IDC8cDAiXIyXHwJNyFEH8H7rhoRF+/gs/nrsSP77+lkmlKrHV1XtFWyLMmQrTFAqlN0e+Cfp26XrQOkY61WeFMToYj4haSjh1UNIPmbDmQpWRZhJUqiyyklCzLyTfHAyUS0dHR+Oabb/D000+jffv2AR0vK6EN51qSOlseUlIbPWStiFtww0GEUcx5ZdIdHGRBiDQ2cHA8SFItE+uHAXJVkdS44YBb096CzBbaFjj55vgvSTVZPixQLblbII1CvkP6VyTdIl8gS66suz9wop0O0EHD7YKbas/cgRxxv1w64PsyYvRktdPjgYNoAck/MkkzmRASZEFocBBCgiQzdA6OtNY5px2emFvw3L0B991bgMtOSbBMqu/ci0OBXNlTq7iqxYfercLjg3DL5FrSgNOldIxsXqgImug1pEEuIR6Jxw4i6fghquUjJaRAQWSr2QDZatZD1vJVYLLwbpEjveOCm44L7OQpd+7c+OqrrzBu3Djs2LEDEyZMQJYsWQzPwZqEG6+QVhms9wU9IRebiNjm7C43bE5Cvp30O1FyZwkOQtaQIIQFW/i4wJEu0L5WaguEWGd20DmS200Lq+0LDbYgJCiIEnA+R+JIL5l1utxiCYgvPFyQcYIIAEiBU1xH6n5QEBFEWaggireFtIHPKAMElcTSCZRonprZULhwYUTcvo3CRYoG3PitDhdSHC466QoNCqKDCplkEVMSDg6fdSclQSTXMTep5lrRUBtMqJKsdoSHhRqcRc8SGJ8jhmSLhF0l1grhZtfLZFtH0tnzKb6usk0tU8Udd6Nx748NiNuxEZZs2ZCtai2EV6+HrJVrwZI1nFcEDt9tweNBZGQk1qxZg169evk05wsJDsYXX3yBbdu2oXPnzliwYAEl4KkRY198Om1kW1WBp6ZIJNqWRJsTCTYnPSosJAjhISLxJm5IHBz+2oJMrB8Fch3oHIkUUvOJYiKEKiYslIRzcPgCEbTK5JpYlz4ObcHhdMHuFNuCTLqJJRRvC6mDE+1ABg7iB6rMUB60atrQAU+F0r9rO/ry5cvj/PnzKFK0aKqnYK8kazYI4U4mpFuwUw13lpAgZAslkytuSsgBeJLuwXPnOjyxtyGkJIjkmiXHPpBi90W0ZQsMlhB7m5DrNd0sadauY/dN/y/msaUg6cg+JB8/AHNICLKUqYisVesgvMbTsGTLwasChzIukELq3927d3HhwoWA3kyTJk2QL18+dO3aFXPnzkWhQoUCfqNpUGJnCIhFYZLdSYk3uW5YkIWOCTnCgrmJOYdhW3hcQZ6MWH+QQkDcLIimm1gEcsUEBwHRADtcLkquaeC+BwS/Ih4/XqoZBfJkTqebFvKZaLipECqItwVf4ETbl8kTiXT8nw8cLEnwcW3BuCVVqFABZ8+exQsvvhjolbwvKa0gpoRWpxt3k+wID7EgZ5YQSrw5niyQYGSeuzfhibwMITlWIbxEmB9o03C6PH4m5aqpt5Zrs9pnOSgI64OtbqPr5BMoJFv+nsYHpk1LbFzUNErwwH7lHBw3LiLhz18RXqUuwus1RshTZdN4Yo7HZVxwGYwLBQoUwM2bNwMmyrVq1cIPP/yAnj174pdffkHevHkzLdlmo0qRMSHZ4UZUog3ZQoORJ2sIwkP5uPCkgdR/lzRHIoTiSdTtOt0eON0OJNsdCA2yICwkmGr3OJ68tkDiXhBN78Pwtda0PQ01eICtUqfIk83Mk+1OKoDibcEbfJTUS2ZdLjx8+JtKEQJBWpTW/rVSpUrYuHFjmv33jAx42WWi3YV4m4v6KOXKEkxJNzchfLwh2JLhib5CNdiCy6HmT6H1SqoZAbJtQrLFVBT6izDhkb3SVDAkWhPkTK/FZkg6YzauP2VAYE0BpbR5cvo8uvC4YT1zEPbzRxBc+ClkrfUcwirWgSnEWFvP8XiNC4Rg+wtGmZiYSPcLsvifbJsYCyRiSj5y5EjMmjUrTff04Mi291lZmxPJxoSEQ0C8zYl7VjKxMiFveCgl3XxcePzbAjWFldpCZrKefpi6dKLlJmSLBI4KCxa13NyH9fEGIdWEXBNz6odV9/TN7z8h2RJ8PTMVOpC2YCaEW7L4MGWijuIh4Ym2C5a1FA67nZaHR7L12rhA9pf3FT8/9VSxALQqiu5PPot2KyupYgJJkWJzuXE7wYbTkfG4cS8FSTZHmp+SI5MHcoqLguv8frhO/glP1GXALUXCYKFJGyHmafTXsRMpP9F+BHQP8l+Nxlo1CWd9r9X8wmkb5kTyrL1l5Sl0BFvcX0u8SfA0d0wEkv9ajXsLv0LKrt/gvhedpnvgeDQ0dja7HXa73S/JlkG01EePHk3TderWrQuLxYJDhw753Y+pjulE6r5EjLxKE5VccxybNklqo1anB9fvpeDorThciU2mLkgcj1lbIAHzbHZYbYG1hYcKP6m9HjQhIvENUuxOxCVZkWJzPNRo0hwPSnvtQqLVhoQUGyXaj5qzBDtjyyj6q3AKOfAs0XJ7PEi0OhCTkIKEFLsYWO0JhvmJJdguFyXXTofj4QfuSM1cPACybYYp1bQZmrmTbjc9+dZMvJhC/PaikuwY+dUELN6wnWq8OR5xgh17G67Tf8N9+RCExLupdMMiUWXJqD8QMyJiXpfWe0rdP5vukabzKk/gdd/Ssygk24BgU5JtpmGZydJkMtMI6/Yz+5C0ZgpStv0Cd2xEuu6HIzORChclFPY0jgutWrWiAdEChVwDR4wYgalTp/rdx/eKwKCLhGC43WgjK2j1JaCV17s8AiITbDh8Kx4nIuL5uPCIg/z2TpcLKTY7bI5HgzR6yYb+Q5Ktvw9CwggZS7La4H7CScbj0Bbk3zPZ5nhkSaOP8E4ZRF1Uks0KasmbSnG4cCcxBTGJVqrxfhLxxBFtWYPtdJJ0JplBHuVLvxzgsQxJp5HHI9TJvmF70riuMoRG1ncbuLYyXrAK4T5/6gSKVKiGf2/cw/Hb8VyT8QjCk3gX7ov74blxCianTVWdscUQDBE32kfSehNymid7OOKSUgK8Iy+VGeOfzSjm9Obk0kU1EZ81sgLpCyPKVTTb7GaFZEsEm6T/kt8DJdnMOmkpb3fduoiU32fDtmcNDRzH8WiBaLAJwbY5tONCoL1ynTp1cPz4cTgcgQuVSLUrVrQo1ZrHxsb63MdXJPOMha6P1z+7xFxYqyeZwmg9OATEpjjpuEAId4rjyZxYPQ5twa5rC77wMGZRPq3yNNv8kGy9BOkBPQQhZYRsE4HFQ1focKQZxFWCaLBT7I4HGuAsUKQ+FqQ+SmiMEh+QFYn+MwExKb+TaEVMku2RFVakF08M0U5OTsagQYNw6ODBzEOwUzUX16mT9WmLdKhatQpOnTrlJ0CC4RWMzcb1ZuaSqSDpbGLu3sGnE6bCbLbQ77cTbdhx8S6O3Y6ngdQ4MjcEawLcV49CuHESsKdQ0giTpKWlRVHpqkRT+q4l1gzZ1phcq8vc2bMiNiHZ//2ws3sjSU+gMLgH2dxbKazvtaydlopIpLXrTBYzzCRvpLyNvB+WgMs+3NJ5XddPw7ppNhxHtlFfd47ML3ilWjs/E6lA5uHkt3/11VexfsOGNM/bO3bsiBUrVuC/hk8TcX2/rycwsluRmMaevjdxbJCy/EnbIhLt+PvyXazduR9WJ7d8ehQIdorVDmuApMLIsuF+4c96QvtdotEBxI8N9FoZDVbOS95tslW0DsgMhI3DP8jvlUgsEmx26hLwsOHX1DsV40IvnUOanP/uD2L7EjQuSUTDfTsuBbFJtkfCUiYj8NgTbSJFJBoDs9mMYcOGYcTIkThz5szDvq3ARgfNPqxKz3j3atWqUa0KgWL56u8WdKfzkkqx/F4KgkNWfzf2U9yLvatMqMh6Qq8vxSRj49koSrgdT5jE6lGAYE+B+/ZZeCjBThLJNSGYEnkUyba3VltLtlUtNmtezZJrpeKZTMgZnhVxydbU702qbPc9B2Gurd6OVhNN11F5gqSZZkm4mV0nEm2lsBpthlxrriklK3ZdPgbr1vmIO7wDSXFcw53ZQAZ4QrCpL6VRX5UOeU+XLl0wf/78NGuuCEH/448/8J9CSM3slol+wGiz9SRIXicTbo80TtDPgoDIWzfxzdjPsP3CHZyKTKDRmjkycVtIS929v0yKgZze/wX0mrS0ntvP9/uGjtDIIP7uVqsNjgCtBTj+W5CxIMlqR6LVnmnzX6cl0jhLsPV8QJ4fZTQCE3wJSLQ7cTM2GfeSibXH490WzI914AKHg5JseeJD0qiQ3KUffvQRrl2//jDvTrc02iV1ma4e1atXV4h2uu5JN3AppoHKhEpAQnw8HHYbcuUtoNFmUI0GiTroFnAiMgGrTtzG6ahEPphkAghuFzx3rsBz8ySQEs+QaLMB2ZbII0ucNbMGHzMIxlxcZbjE4tocWB1Q6p4sA9VuYxYG11UlS4p2WX4W1uSb0WhrSbaqvdZqsxmyrdF6S+c1MrWX36XJDJfLga4DPsDZlTPgunGat4VMANJfEVJBzDmJ1sJvTywbEPnbRxd9vHnz5li+fHma7ik0NFQZr9KC+5kj6cmy3+16yyfZd1tKrSdrt2WhK6vd3rpmKd7+cARcHuBMdBLWn4nC+TtJvC1kwrbgDz7rfhrbSKAwTEYhX8/oOkL6VNhChqm4UzPm1W53uV2w2WxYt24dNynPJG0h2WZHgtUGZ4DBWx+lSOP+nAAfFNk20mYLuiXhDPdSHLgWm4z4FMdjOy6YH1dzQNKJkaUeJOcpSafSt29f3LlzJ5OYixuZh+v3SR1kohcfH58Rd6kt7CQKQO+PRyoTLJFsMxMsSaNBotHuuhqDtaciaSoYjocDITkOnlunICTGMH7KrM+ygTaaCQ4mi0FV8s2KQgMTiZJjA9Ly6Sqd4otNt6ltgY0Orv2sjxDOaKGVQGay1lo1B9eYjMum4pRcW3TkmzmP3iRdIeLicWQ5bslmtG9UB1WLF4Dr3H44jxJz8qT7/EU50gsaMTZFCsjCCHb0Jqj+RJupzcP79OmDn3/+GVZr6lYc+gjkBw8eDHh/jaYCGQcNaVIEXFptNmnJsjUTa/GkmJNL229du4K2PQagaOnycJMApIJAs1fsv3EPWy5E84BpDxEk0FlSipX6oPqdpmhX+0Ra2kha4d0u0392f/eWnvuWHKw07dCnqa6uoZ44cQKbN2+GKzME5H3Cx4UEeVx4TGBUB9ODtLQJDa1JRZut/+YWPIhOsuHmvRQ4iFT2McNjRbRlrUBqmoESJUpg4sSJeLdv34eUrsKX3Z6e4qYd2bJlo/7o93VrTFolxWxcmkitXDgHxcuUY8i1aiao/06sBK/FWTH/3+s4eDOODyb/sRbbfeca1WRDFjixUcIMfJm15uLSvr7sizT7+Uex/Llx407g5tNGqb28L2+cgksOYsb6Ufsm3MySJdgGRfTTlvZXtOFqBHINybaYMWH1dnpcl1caAoSwmy0QEu7AcXgz3BEXH1vJbWYE6YuIOWCylfhHiuu05DoVsp0GE9mQkBAMGDAAEyZMCPj+SPWtUaMGTp48GfAx7LEZAa3Wmokgy7wvL99sxp2IJdi073d7MP2LYXA47OI6j3aMiEiwY/WJ2zgZmcDbwkPQ3JHoyUbWmkaWRKmsUjY8iB5N0x7vwx871XMbrA8M3iTb2+jLSKcNLFy4EN27d4fH44bDmgKX8/HV6GX2tvA4vXZ/5uJpQXqEZ0IatNkCO75I40Ky040rMYmITbY/Vm3B/HhFyjTWYhuhatWq6Ny5M8aNG/fA702pel6abP0+aT2n9+fSpUvj0qVL6bpD7++M2bgAJCUl4fTxI7QFixMrmYAzPnqKllvUYJBAElanG78dv4EW7/RHdHygEag50gsPCXYWcQFCShwEPak20mR7FV1QNE0Ecq2mW6sF19+JSEqrliqKE1dvB3DnjM5CaSsG7UKjfNdq3TUaboUI6wm31kRcIdEWC0OsLXS9qt3WBkiTNeHUVNxiVsm0yYwvlm6hafA+794OoOckGm6xmEibuHoMrrN7qM88x4MFSctC8tqSiKeGZDotZNuXyakOrVu3xsWLF3Hq9OmA75NEH4+4HUgbUZFxmmz1oTWEG8aRxpUJlBK7Q3QbYjXcu7asQ93nX0HWHDk1Vk8y4Sbjgt3twc4rMVhzKoJbPWUizZ13HfDe/iDMyP0qw/yczFd79bef0XzH6/hA2IWeZOvapckH+SYujefPn0f1alWVC7rsVjitSRA8j49mNbPiUdJi+wuClq7j0ojUmoDO0S+gswlsYdNIknhPHuB2gg2X7ybTcftxwCNPtMmPRCLGylrstOiCSbTXuzEx2LZ9+4O8Q+am0jj0GJqTs+dkCbz4sWzZsjqizcpV/Yu39GOL/m4vnz+L55q86jXZkrXdLOEmEymxeOB0Czj25++wFCiF8X9dwp8X7jxW0qrMAjJAu2NvwXP3BlFpK2RZJNtsNHHS7GV/4sB9tY2iinuTbV2AMJhQtURRnLx2O/XwmF5gr6muY8m+xudaY86t881mSLZMoGkJshgQbPm7uI1E19cGRZM/S8eag+hSMFswdulmhGcJw8iubWAKClYINiXcktabfk+KFXOX37nG28IDAOmD4lNsSLCKGlV2ME832U6DlH/8+PH45JNPkJySElCvX7RoUdxKI9FOD2RyLH+mS2Ybu59+G+uLrWSlUIYiWcgqUBJRt3ETNOvYTWfxJJFsOYAmId0eAdfuWTHv32vU6omPCw9IcydZdBgOu7r4GA/CjDyQohzryw/b13UM27P6ROlBWuaRPsEMW/ogVBs3bqRBENUbltykXC44EuPgtlt5W3jCtdh6W8K0BEH7z8COEz7ep+BDiy23U1aZJ1rPir9Tgt1FA2hGJdoe+bbwSBNtN6PF1g8Ggf4sxMTvu+++w717DzoysPCAarhMtgmdElChQgWcP3dOs6deqpqGs2t88wo/VQLN2nVUJ1yMr54+zYusvXC5BUTfuIJSdV9A6WdbINHmwvx91/D5prOITUlb8B8O3/DYk+GKvgKPNVGnrfZBtuXPvsi2kUbbKIWXgdm5nnhXK/MUTly5lab6p1q5S/mxdQ5wRpHQVd9rP6biCmG2wERIdpAF5iCd2ThdJ673MiNXzMxl/22RbCc6XOgxaTGK5s+DTzq/ClhE8m2yBAGEiMsEW9J8089kWLl1Fp7LhyA47bx6ZxDsTjdiEq10qUlPlRFkO0ASQIjzkCFDMHDgwIBdZv7LyYSeXKdqNq4/lkn3qHEjArB24Wwc27cb5uAgzXpVsy1ZOxGyLVs9OTz4/XQkdTNK5DE9MgzEBzs+2aZqhnxVMc38yYB2+9EQ+z9X4NC3u0CPyUiSnRaBQmAkyXjQW7pkCTp17KiSbM0VBbisiXAm3ePa7QxuCwkptkdCi83ClFlJdprbiqD5pCXYqvKOHSdcHgGXY5JxIiIBd2Lj8KjikSXaTqeLarK9FL1p7BmzZs2KMWPGYOSoURlOheV78lsF9bZWTA0kExmRIrGk2uvkGlSsUB7ndESbIkBNtixhYi8nN4ZxHw/04a+nBkGjkydCsD0CnDRtiA0bJo+F1W6nmm270wO7y4PD1+/hvWVHcDYywfeNcQQEd3Ic3LERRLIhkmqZJKdGtknzZ0m3ic2nLX/2Q7b9aLVZB6FsWcKQrGmrATgP6VQA5FAli5Y8hVE02PqAZdp1Wt9rSUstk2lZKy19ltfJmm5Vuy0eK28XTcKDYAoKwsXoe+j87QK82/IF9GvzkkSyg+hSNR0PYki2HFBNXJKAde5LByCk8LZwv0iyORCbbKV9kKYf07Hm1Mg2u0ivuuvFF1/Ec889h7Fjx6a6+61bt6j5eFoIeUDjlUZ7IB/vtcnrfIrQgWFamsmQRJxlAYY8BiTci8XxA3tQ+/lXfGizWWsncZwgwlhxvBBwLjoJP+y8hOv3uFvF/cLmcNI0RQHXFwOy7at+eO9lcK40Fp8aMc1Sa6jqLZzSPSs7uQkQXrun4xwyvGyxTKCKEBKUN0/uXOqJyVxP/0Kcdjjj78Dj5AqJjGgLJCf2o6IZNaVjr//k2XRjpsIXdOMqs7uhVlsW1GoItzymaJR1oCkhly9dgnPx7kfWxeiRI9rkR7ATU3Fn6i880L7x6aefhsViwYEDBx4M2TaELrq4MtIIcLmcGDZiFIqXLofNW7bpDvMvTciVKxfi4uLSEBPa+7bYW5MbUkJ8HLLlyKH1z2aXHlU7QfIPutweOF0C9q1dhFqt34YlPCeVqpNic7op4b59z4r+vxzCvA170nqXHFJbcJGBOClWJcwSiU072dZqh1mNt0wIWU23xqzcgHyr1t7ihzKF8+NixB0Dku6/hpJ6NGbd36g6bi7+PH9dIqk6M3E2UJk+XRdLkOUSrGqzFe11cBBdTwm2TLLpZ7MXKUeQSLBNlmBsO34RH/30K2Z/3B2NalYEgoJFk3GJbMuEWyb4epKtvGeXE+4rh+GJi+J1O51t4V4yMRV3+JkU6ASJBvtk9ADQs2dPanFFrKbYdGJ6XL58GUWKFPF7LhK489Phw1GyZAls2bxZvecAkKb99ERcT4q8XIXUbWZLEHoP/4IepyHZErHWkm0yTqjjhUy47yY7MHHHBey/GhvgXXNofkM5+J/daayhNWgXqZHt9JqR3w/kCTgrAJPvn0RNH/XpcJQvVRLbtmxO/Tz+NgZyH7gP6Ia42bNn490+fTTSCJMouiL+X1KRtrldcMVFwWPl2SrS2xaIqbjV8WgQNL/m4n7GhZGfDkeZkiWwVW4LGa3oFgIfK1mBrK/dBI3CTt2fVeLJY8XSOTOQkpKMFIcb/1yLxc34tGX0yAx4pIg2efFEi51qzsd0mJGPHj0aX3/99X8n8WJFrtI1CQ2Kj4tD+zc6YfrMWShZogTadeyMH6ZMpZ2votlOBURoQPI0Kkhjo2MHNTkoFZkUderZX9Fg6H32VHNASTvhFhBx9RKqN++MYrWeoyH7qTbb6YbN4YbD6YbT6cHdG1cw5NPR+GHj6cc+aX1G+2PTAZgG1NIFMksr2faltVZ8tlliaHCsXqut91MwmfBs1XLYc/qyJiibt8m5FsTH9q05a/HT7qMonicH3v75d8zac1Q8JZMnW5Pr2qTmwBZ9sFmyLZFphlRrCbhIoOXvlGTLJubKUiTPVpeAIQvWYePB01j+2QA8VSi/F8kGQ7LpZ1mrrRdcyO+VCK1unYY76tIjI3nPDCB9U3SiFcl2FyMd9zYBN9Tu6vd5APjyyy+RO3dutG3blgpzWSQmJuLzzz/H4iVLRJ9NHyDC09fbt8eMGdPpuNChw+uYPGkSBEZz7wtezx/A/kaTJHZyJAtZWW323ahI/LrwRxQpWZbRTkhWTopftuhSRMcJQqwlgk202eJnEtPDQ03JZ+y5gqWHbtDzcwQG4qZA+k2b06X8iKmRba990mlGfh+KX2No6qDanklb6PzG65g1cwbNIPNmxw6YNmVSQH2m0XP6OiyjnoVVepD0q0SoVrNGdR3T0CpbTArhJsUNd0I03Al3+biQBpB+hlh0PGqm4kiDkoy0hY4d2mPmjOkoUbIEOnZ4HVMmT0q7aW8A8B4zfXQE7FdWYSdotdca4TdrHSUr7wTQ2Fsxd6LQouPbdMwgvOLfG3HUlPxRmiOZH6XJlM1mDzxFVBojYObPnx/16tWjeQ0zBn66aVaTLYHQn/MXLuC5l5rg4KHDWLd6JXZu34KPB3+AT0eNQe9+A2Gz2ozNyHV2V2XLllEDonmlmjC4FaZoJN1Mw7hw+gRy5y8oNQRZWyFpsRktBZkkkcaQEHcPG6aOhc3hoLlTCckm5FpeOp1uJEXdBMyhKNr8A8zeeh79Zu1FkvXRkDw+THhcDmpSRlJ4yYRaJNXeRDhNZFu3zjvlF7MdRsHSfEeBIUR794kLTNRz7TOJ3FxdeSEqFs2+X4Ij1yOx7N122DioI957oQ7GbfoHH/66g1pGqBptRrOtMxFntdmq77VEulltNqPtVkm4TLwlDbZUjlyNxBvj56NZvaqYPKgrwsOzApZgRnutLmWSrQZOk7TasmWAWRfQjbTwuzfguX5C/H05/ILUg4j4FNqv6PsspVc0HNiNNdt6suBPKh/o2EJ+V6LZXrBgARYtWoR27duj/euv462uXdGpc2c8/cwzWL58OYoWK2Z4PIlO/ELjxjh06BDWrv0Nf+74Cx9+9DFGjRyBfn3fhc1m83NvWsrkfa++pAwG0ca90jhqtdlLZ35Pg6DpTcU1ZuOSIFbWXotCWVWjTcYOeR0pa47dxtdbzyGRtVTgMITT7UZsko2+N/l38zXhTlXA5E+z/aCItX4yb0CySVt45cUXaFtYuWYtNv+xA+9/+BHGjBqJ9/q9S2P2+Dqfb2GC/4fwnq35QSruUD9LKb3Yu6JzOoZsUxNyZp1oUu6hlmue2JvcbzsAkP4k0Wp7ZFLKBmx9ynjcXTh/Hi+/KI4La9b+hj/+VMeFvu/6HxcyGr6IM90meO8jusZqfbQ12SmIUtVmw9/bNuHdYWMp51AsoQQBp6MTsfNyjNLXZXaYhEdALEBMI+zpNP3QK8r8VWaiXSApvzasXw8zmQwbIhBHcCM1ip/1goDt27eja49eKFyoEFYtXYSyZcoom5etXIV+732A6lWrYPnin1G4cGGRKCkPqCVLvyxajNCwLHi9QwepAjM+D34+u9klrdCgkx5SsccN/QA93h+KnPkLwkEnRB44aBHokqRqIb7XpBDT8PUzx6Nkg5eRs0QVpDhcSLG7YXcQbbYLdrsb1oQEnF88BkVbfAhTaE44HU647E6UzheGuYNfRslCOVN5x08m3A4bXMnxksRbHIDVQdmjDMr6bcr+zL6KyRqdLevN1sh6NwQyUJFCv3sgCNr9BWYb3U5Sk0jrlM/S+jajJuO3Mf2Vc5P83vR4unRDcLvhcbmx/dgF9PxpLQrlzIafe7+G0nlz0v2I9m71oTP4eNWfqFw4L+a82QwFs2WVLCt82DWyUDT12kjkstZa8cuWSTnjv0000aSOf//bTlyKjMHEfh2RL1cuKZq46LNNg55Jqby0wc9YawBddHavHkkmOAIQkhWW4tVgCs36YCvVIwoSNOtukjiZoAYOkrBHyfqmLNWAeuw2ukoOtsf4UMpLNRoA41XB3oBBmIG0GA+lpKQgNDSUWiD5wrZt2/DOO+/QPn/5ihUoU6YsXU+qCCHn7w3oj6rVqmHx0qUoWJCMC3ohKRu4Up0EeYyCWWrGCn3aRtY1SNB+ltyFNq1YhFc6dFXWKaRayjwhEmwP1V5TIu0Sxw/1s7RkP5PxxelE1oTbmNSnJZ7Kmy0Nb/jJARlX4612TX1l67VcgQ3rq64epxZ4yWcdTyXsRqDQCgFUkr19+zb07N4NhQoVxuKly1G6rNoWVq1YjsHvDUCVqtWwYPFSFCxUyLegzMcw4S9grK9+wKj/gC6eiDTk0Hnsa21aY8O69bBYTMo4qdVee2CSx1TBrX4m4yXd5qaWU5Z8JWAKDk33O36c4XCS+aZWMJeZSU7AYwjTvghf6NntHdoWli5fQbMNydtXLF+OgdK4sHTpMhQqXDhd7c1IEK39rt1XFW7rxhxBEs5K+7Aaa3a8kTNRyOPGzAlfomyV6nimSUvJ6smjCGflsSc8JAivlMuHnGHByMzI9BptMsiSQAbpRVrMyLNnz46XXnoJmzZtSvf1dFf38ZWRFQsCJk+bjtc6dMIzDRpg57YtEslW5T/ETGr7xnW4eesWGr34Cg4dOqzTbLOmR0D16tVx/Pgx5sLiYGBKoySZTQMTEx2FPAWIRls275BMATVaClELEXHtMhq+NQh5SlUVTcWdIvm2SebiLqcb0Qc3o8Czb8EUlhsuhwtuQrQdDpy5EolmnyzC3uNX7u/VP4YgeTZd1mSqDdVqsdXipdlO1Yxcb0KuD4zmPxCaSha9tdj61FwlC+bFtagY7weTdiH1bfrWfeg4dQUalCmKLUO6omzBPEoubHKq12tXxK/92uN2fDJazlqDYxF3mYjiFr9Fq7GWtdjEjFwqOo021WAHi9rp9QfPoP3X81CpZFHMG9oL+fLkUU3FyZJotIN0puLKZyaPtlJ85SpnLAPsSXBf/JcGS+PQIibZjqgEq0a7amie5mdCIFU6L62Xqv0yjsCtIADZTmqBOH2RbNLHTpkyBe3ataMxRP7csUOcTDHo2KkTNm3Zils3b+LF55/HkcOHtTfJynKNnlenadCaAejHTd/abDIW/L50IV55/S2tBlsJeqamfFS02TpzcWWdhngLsCYn4uCMYYgJzoeBy4/h5K34dL7txzsAYFyKmLWA/W21E2O5Rt+PZls9xlCjnQFsxmjSTwSs06ZOQcfX26NBg6exdfufGpJN/rz+Rkes27gFt27dRNMXn8dRuS0E8Dya57qfZ/BhPSh/X79uHVq1bAWLxezzQqo2mxF4ywRc/uywwnP7LAQb99vWg3AFq92RvvhEDxl+71ki0aRKTJs6FW+0b4cGTz+N7X/uQNlyZTWCNTIubN4qjguNn38Ohw8feijabP2YKbBCYF3Rkm0gOTkZNqsVzzZpqZBvdR8BLolzxKQ4sOrEbUQk/Hfa+8eOaBMtNpFO3TfSMBnq1asX5i9YcH9jhtz7+95IYbfZ0bf/QAwfMQofvv8eVi9bjJw5cxjaMdatXRu7/9yGIoUL4+UWrbBi5WqfPtuVKlXEmTNnDONMydodv42a4fDiBMuDr2b9TLXommA2msmTODEihHzD1M9hc4j+2ETDTUzFZXNxUu6e3Itc1ZshtGAFuJwuuJwiyabaWocNd6Lv4OVmLbF1DysseLLhtNvgItFHdb69JHezhmyb02JGri/aVF/G63z5dstifK05OYVE0BtVLYddpy6qtY/x5yYmwAPmrMPI5dsxqNnTWDLwDeQMD9Pkv5ZLrRKFsXlQR6rxbv/TWvx28jKTF1suDGlWikioLaSEkBIMc0iQWMg28j04GKZgdXk2IgadJv6M07fuYM0X7+H1F56mmgRCsE3BIeJSIduy2Tj7WY02zkYc9+sjz7ZDtwPuSwfhSTQQUDyhiE604W6SXdXAarS0/sm2t2m51oycnRUERLZ1KzJCc0LyUPft2xfDhw/H4MGDsWrVKuTMaWzhU6dOXez4excKFymCFs2aYPWqlZob0xAhLw6uM/HTTYYUrQVLqpX3rRLqE//+g9vXr4i/hzwu6FyKZE2ErOFmg59Rck213nKR1rncOP7LeBRv0pVai9xLcWDwiqM4fO1Bp+J8dEDyxMvp0Lwmtl6uYOIKPUE20lhp9mHagg+KrUC4z6Jvd2SONLB/P4wa8Snee/8DLFmxEjm82oJ4RK06dbB1x98oXLgI2rRoil81bSEN88AMaMSK7p/pzn/++We883ZX/5HG9SbkBpZqlHC7XSLZTuGCJxkkfpMvy1dTKiWjkNp10nVtqRqRcWFg/7408Nn7HwzG8hXiuGDyMS7s3LWLBths1qQJVq1cmaZnyChohLmCZGHFknKpXxKYgMpEuXr84AH0GzGOsbJVhbZ6i6lkhxsrT9zO1JkqMi3RtjscNLKkjNS7+IwBidpdsGBB6gv0oK5BEBUVheatWmPFqtWYN3sWvvp8jF8TQgJCsrdtXI92r7XGO7364LMvvjT0QQkODqZmSrJXwP00HHKKvzb/jj9/X6vNf8pMnOTJETH5275gChp1GwIXzLDRAGgiyXZJmux7F48j5sQOuN1muJ1uuKk2WyTZbqKxtafAZU8GCtbCm6N+xvb9Z/CkY/LkyVi+fIXozWWyiOSaIdjkuyCbKhuRbdrMDci2VDNENwRjjbYccEy0fzOIOK4PasaSbB2BbFStPHadvChtVveLik9Eq6/nY9W+k5j9bjt8/sbLCKLm2rr810oOazMK58mBtQM6oFX1shiwfBvGbz9A34FoAs4EO1OIdTAl1yLZJgRbJNmWULIMgSUkhC5pCQpGrNWJEYs2YcKaHfihf2eM6NoGWcOzieQ6WCXZCCJL+bNIumXNtmxWrmq1yftjyLaedGuNPUWQQcjtgvvCfnjio/GkIyLeKpJsr/zNrAm0HKDL2+/LiIgTaCcAxpN+cT9pqbsvPZkV7mNcaNGiBVauXIm5c+fSQGqpjQvErPz3TVvQpm1b9O7RHV9+MdZ7XGCC13g9gxcBUWmV5n360GYf2fs3Xu/zvmLhJEcYV8cIyeSP9cXWfBc12CrRJvt7YE9JQtk2/ZG9eBV43KQdCEi2uvDh0sPYf4kLnuJT7EiiJNt3/dQZKTAR41XSrezvg4iy27znX2pdUT7cR2HbW3RUFFq3fJUKj2b9NAdjx6XeFoiZ7NrfN6NVm7bo26sHvh43lsb3CZhkM8+bEZptuSf/98ABVKxQAdmzZ/MZaZwSaHqj+qVKzMX9paXHBc/N0xCSuOCJaLHtBko5039ILu/nHKlpsuW2QAjz7Dlz8YXcFvxclAiciMVT27bt0KN7N3w+dkwAPuuSiCidbiDeYyvji80Ku1lttiQwl8eOFQtmIzoygontwQTQZCylRMItjidWhxtLjtzExbvJyIzIdESbDAAkgBaRZqe67wO6hw4dOmDDhg0P6OzAkaNH8WzjF3H12nVs37QBXTq9IW3RjDaGCAsLw7wfZ+LrL8Zi4nc/oFOXrtS3XI8yZcrgyuXLGdKBbN+wFjWfflZDsln/O7IkPnUx0ZFo3Hs4shctI/prU5LtoebiTolsx575B4Ve6g+3ixBvF9xEo+1wwOWww+WwIuX0JjhjrgBhuZGclIz2g6dg067jeBIht4W333kH5y9eRJe3u+HG7duqibiGcFu0puRGmm092TYwW/bSaEtEUCHbmtRgumNZc3HW1FzcgiL5ciMyNoHWH/mYo1du4fmRM3A1+h42j+qJzo1qqAHCiGObnmwzwc6yhIVg+lvN8VmrRpj61yH0XLQJKU63d8ouhWCrhFvWaMtFJN7BSHS6Mf7Xv9Br2jI0r18NC4b3xlOFC0qEWibTIcqSkG4oxJusl0zGg1iNtqjVFou3ub+XVYBaA+SKQH30XOf2wXMvAk9qW7gZl0JTP6kEWqdtZQd1WXruS7vtw4ycXaaJbN+nGTnBkSNH0KhRI1y9ehVbt27Fm2++mcpLUTkKGRdmzRbJyA/f/Q9vd+msGRd0j2ZoNu7Fe4TUtdkXT59A2x79EZ4zN+PLzQTJ9PgJfiZrsxUNtuTLTTJWHNuLixvnIzhnATrJkguJ1WC1u/HhksPYff4OnkSQ9x+XbEOSndVk+yfb8nc96ZZ/99QItUI+vUgxc18ZUOTnOHrkCF54/jlcv3YVGzZvRcfOqbQFBqQtTPvxJ6qImPL9d+jx1puGcyS/75h5b+mD1rN9+vTpGDhwANPpsO5+DJFOVZutZykuuK8fhyfhLp7UtmC1Ofxavv4X2myNn35GabWlKcHRo0dpW7h29Solzp1JW2ANAlNpC7PnzMG4L7/Cd//7H97s3CmAtpC+N+NLSCcw7UljScasVwKg2e04ffQQXmnXURlDFCspnSZbbylldXrw88HrOBOVtrb+RBJtu9NJSXaGk2jmhKmdm/jE/fPPPxl7canXXrXmV7zctAUKFiiIPX9tR706dbQ3ltrNkc7WZMJHHwzCryuW4e/du/HCy01w5Yrk00wlpUD9+vWwf//+9N2qdBtycIIGL7yM3PkKUrMNvaZC1mTfi4nBrxOGKQHRZJJNUiuQCRTRZkcd2oaCz3eDYAmjBJtosl1OO9ykOGyw3jgMj9sJU/aiVItHAmQRc6A3hkzDH/tO4Un0NyIDSHBIGIYN/xSffTYG7w36ADNnz4FHYKKNs9ptPdmm2m5V0+1tsiz5ahtpVXWEkKalYn23pRRbem246putJeNkfcOqZcU0XzBh9d5jaDJ6Jgrmyo6/vx6AeuWKSwSb0WBroomrAcpEU3GRTA9q0gCL+7TF3ks30XLaClyPT1R8ri0KwZZMw+VlMKPBDgmBTTDhhw170PX7xahdsTTWfvE+XqxbTTQTDwmVNNnyUiLVhGDLBJwQaim3tklDrvU5yH2RbMZs3GiMow3SDdeZvfDci8SThhtxVkQnOZQBV9FSawKrMMFV9NrYAMi2fvAX0kq2dSvSMoatXr0ar7zyCrWm2rVrF82AIZ/D/zVVzSRpO+8P/hBLV6zCnt270KLJS7h65UqqBExZx55YY1qvnSzJxJtYnc2d8Dmt55pI45KJn+qjLWkeWMKtpPYStdeywNZNUnslxuHqH8tQslkveNweqskmS6LVpsVDBJBufLToMPZdePIIRrzVgWSHy+C3TEWzzSpH5fXSRvY7y/30+wZuUu6bSqvw3k7+/rp6NVo0bULbwh87d6FO3bqa3Y0EA/rvpC0MeH8wflm2Cnt370Krpi/h2lVxjhTo3WleoMF3tps2JFASEbp06SJCQoJR/KmnlCvpCbPGN1uz1Pppy0HS5CCjYnHh1J+/4fDuHXjSQPJj2xnL1/tBeklyRppaszdDzrtm9Wo0b/IKChQsiL/+3oW6dcVxIS3XJG1h8IcfYuWq1di9axdefvFFlS+kcg++oPQYgnf/o46r2rGDQC9nYscNMq7cunEdI3+YDUEwiabkiisSE3VcMjFn3VZFKyiBxoOat/8aDl26jcyETBV1nBALJyuZSoP5QiD76X2W/R3TsWNH6lOTJSzMJ2n2CWWkkvcX81t++fXX+ObbiejU8Q3MnDqZ+lhHREQhKjqKmgzejYmhKbysNitNZUZyYYeGhCIsLBRhoaEIDw9HwQL5KUkvVLgQ8ufLh4uXL+P1Tm/RfHpLFv2M559/nk7gr1y9hh8mTcIPkyZLk0w5qrhohqGNNC6Z/DFRxkllJpV35x/bUL56LYRlz6WJLE4+W51usRAfif+NQsWX2yPbUxWQYndRrUOKFGHcYXfh9v6NsMXFIE+d1+F0uOGy2WhwL+p7bEuGKzkWTmsiPDBDcDnhcTkl8zbR1CVrWAjWT/sQz9WpgCcBKTbRFErmX1QfTQixx405s2dj2/bt+P5/E1GyeHFlYNZEL/UYRDPVDdqayOWs/5dX9HEm6jgTVVzznUYk10YZFz+7NZ8v3ojAN0s2oHj+PBi/Ygs6PlcLM/p2oNHMI2PiEHkvAVFxCYhJSIbVTgKbOGEjPvwuN0KDLAgJCkJYsAXhIcHInz0cBXJkRcGc2ZAvW1Zcir6HrrNW08BAC95ti0YVSqj5tkkhQWikQGRUQ2+xUN/QZbuOYfnuI3i35fNo+1wdmC2EOIs5s6l2WokqLq2TzcElIu0zx7hiRu+PPcsjjzSxUt6ZFGmWvEuS5osInlzSUhAQXPUFmHMXxJOAq7HJiEy0w2IyUdmOWVqS31SMNi7LfExSOxH3YSe74lI+TrtO+108DztZJjBpxqOMi0ZOx4Uvv8T48ePRqVMnzJgxg66PjIxEZFQUoiIjERMTgxSrjQaHsZH+0uVCSEgoQsPC6LiQNTwc+QsUoJOxggULIW++/Lh08SLe6twR8XH38NPCRXim0XOGkWBloYTmuy7KuD7auKxB2Lx6GXU7eb51B8kUXLVwkk3DleBmbjWaOFk6XaIVlLxe2e5w0QBoRDhrCc1GiTch1+JSIttk/CKm5B4PQs1mzOhVH3XL5MWTgDjFXNy4/onftZGw2cqnX6/9rtXCaj77mIvpz+8P2rOrFJ1tC9989RUmfjseHTp2xJRpM+h20gbI/IiYz5K2QNqBMkdyOWnk/pBQuS1ko20hfwGxLeTJlw+XL11E9y6dECe1hYaNnvN7l4Ztl31XSkRx8Yum72D7D2ndh4M/QK+ePVGjelXvSOMet3Yclr/TKOMk6rhbG3GcjrFixg46TrhdcNrsaPPeSMz74iMUfbo5zDny4UkAiSyu12Snl/RmBAnKMMJtIj+32BYmfDseb3TshGnT1XEhmvIFcVygfMFqhV0aF0hbCAsNo2NDtvBwFChQgAqsChUqhHz58+PixYuUf9yLi8OiRYvx3PPPewmsZGjSdGncrBihNCOsFl2zmJSPkhBcUKyh9EHPtNrpU8eO4tclCzB43HdeMT3EOB7SWKJYRYljCB03GNcj8vnwr/Mw+9sxqFo0DzIDMg3RlrV3MvQTmUAQMCk3GHj0+Oabb2gE8qcbNLg/oi0IuHfvHjq/1RW7du9B/fp1kSUsC85fuIjbxAxYc18mZMmShZJ7Qq7NZgucTgcdUIhJhT4vXlBQEMqULoXSpUrh9JmzNCo5CZQwfPgwGk26bbt2+HXtb0rlZ/0d/BJtaaJE/F7ee7sDvp2/Em7BpBBtG10Sku2hZDouPgFJVgecQVmQbBNTeVnJhImQbIcbDpsTVzfMQIHne8DlJIG9XKIvti0FTlsKXMlxSPh3IUIqvErvm+SJ9sohLADh4aHYPHMIGlRXU589jki2OaikViEBCtFWiQFxC/hkyMdo3boVTXkik2iVKOu++0olwu7vtY9Uj2XSp0nx5U0IlXRfMkGUJwl0QiCuj41PQIOBX+Lm3XtoUKEkwkKCcOHWHdyOjfduC8FBdHsY0UibzdQ6wuZ0UQEEWbIIMptRukBulMyfC2dv38Wt2AQMe+15DG39HNV+iyboEtG2mBGdaMWCPw7g71OX8cbzdfDWKw3p4KQh2HIObNnsW8mDrU/bpSPZeoJtyLFZQRyjufB6dyzRdopL2jZMCK7xCsy5CuBxxpXYZNyMs1LibCGp2EyQCDdLmtXPMsFmt5l8kPEHSrYD2EbHhc6dsXv3btSvX5/2/SQ2iK9xIYwUKR2Yw+GgY4LdZjMcF0qVLo0SJUvh3NmzNPrsx8M/xQcfD5Wz9up83FWNP7uekmujwJceAUnJyXRJrDs8MKmBzZRgZ8zEiCHYSmH8smmKL+nzxT9W0jgUBRu0osTaLWuzXRLZZki2TLrDgsyY2+8Z1CyVOSZVD9InO4El2QGSbfgl176EQuIGX4Rdc71AH4BpO4pOTFDbwttvvYk9u3ejLmkLYWG4cOECIny1hbAsCA1T2wIJmkbIhlFbKCm1hfNyWxj2KT4YMpRxa2LPn/q7899vaNfH3buHvn3fpenHWKG2SRZKsym8lPRe8lhLtrm8yDdLssl48NWPi1CqcH50btKI3l1QpWcfe7JN5qbsHCDNdTGzwiTWma5dxLZQr359WtcvXgh8XCBB00g7MGoLpcuUQalSpXD2zBncvHkTn44YiU+GDaN1Ns1EmyXZjLBWHl/U9TBMJaxYx0pjy4j+3TBg1DfIlb+gTmArB8tUl3KaSBps2SVbzorEm1h3lHymBY3uP/Tl8iiX/+GnhMwURJsQbH0KL6XB+Jmo6JH2Dt/3MSR/KZn0vDdwoG4LU/N8wOlwUNPzbX/8gX/+2Yd/9u2j0lrSEMqXK4cKFcqjQrlyKFumNIoULoRCROJUsABy58qp5u82+FmcTiei78aImo6oaNy4eQvnLlzAufMXcPb8edy6JTbEnDly4PnGz+PatetUElazVi0mYrg2d52SekWZWIlkm5Q9O3fg8sULePXNHow22w0rIdsuD9VkxyUm4ecRfdFyxHRYPSYk2chv6YLNLubMdthciD72N7KVeRouuwtOu5MWqsW2JVOinXT8V5hzlQDCC0om46QYB23Ilysb9i76DCWLPp4DSYrdiUSbw2vSr5ADhlh43C5MnzYNBw7sxw/ffY9CBcg7kbTSzOBtpKX2GtyVgV9H0GWiLaRGqI3XOx127D1+DtsOHMM/Jy/gn9MX6eSYgGi1a5cthvJFC6BMobwokjsHCuQMp9HEc2cNFdumJke2lGNaECMS30lMRmRcEqLjk3AjNh4XImJwPuIuzt++g1v3RD+dHFlC8XyV0mhUqRSa1KqIqPhkLP77MJJsdvRq/hxeqlMFFuJnTQm1FMCMzYnNRA0XzcDlIG1yYDMjgq2LHm4ETYAblmhLAgw6mSITKckigFh4kCKTbrLdHISQBm1gzpodjyNuxVtxLjpJ1GJTkm0CST/Lkm65LVCCLXkzmJnctXoNk1G+bd85uJm0iBotVuBkm60GpP8m4wLJgbrvn3/oZ2VcKF8eFSpUoMsyZcvSaLFEE0HyAefOlZuOC95mwSJZcTqciL5zB5ERoubv5o0bOH/hHC6cP48L58/h9q1bdP/sOXKgYaPn0aDhs2j8clOULFNWGRfYoDRy9FfZssnbJ86DeT98g8p1n0GV+s9JEyI1x6mYM1vVZrOabI32QZcvOyE6AieXTkTVnl+L45RGm82ajzOabYl45woPxuohjVEsbzgeRxB/7HvJYgovFv7JtnYvvUZWWeer7ko7e2m3dV8CVnAwH0id3bfvH/yxfTv279uH/fvUtlC2XHmUJ22hXHlKDEhEfdlaI2fu3DATFylWI86QABKx+G70HURGReIOaQs3b1CSQsqFc+cQcVttC88+9zwaPPMsXmrSFGXKllNSSMo3adSWUyfaWm32lMmTUKZMabRp2VIKYCZbloljJB13NYJwnQZbKsp6yVRcHgdOnruEL39chCVffiyFbXZBsAQhpGZTmLI8fILxIGA3yJNtLCzKpNDdHBkXyHjw5x/bsf+ffbRdyG2hXDlxXChXvjxN76gZF0hbkPmCwTOT8965E0214GRcuEHGhfPncf7ceZw7dxa3pHEhB+ELzzdGw0aN0KxpM5QpJ7YF30Rb1WarLlnaYJnyd1aQ69Fps1kLKcL/khITkSV7Ti+BrfzdobOQUsYWZny5cnQfLu3fgTpvD6HjSpZgM75pXQUFs+stk58wou1yu6mZrBH0nXqaO/T7INqxsbH4+OOPsWD+fN0W1rFN/ZyQkIB169bj900b8eefO+j3ggUK4NlnG1KNc5UqldGuTWtq2iFel9GMa0zNjUm29v5ZbZnY9QsmE2Ji7mH6rFnU/P7fgwexZ+9eak5CJFhNmjZDi5atUK5CBRQsVFgNm6/4O6gTKhdJ1ej2ICr6DrLmzE0nQaIWmxBsUZNNcmKTwFOb5k1GjqJlULj2C1SbnWQXSTYxF7c73Ig4sBn2+BjkrtUOTrsDTrsdLmLyRTTZtmQ4kmLgJnkhyf047FRbSjWmUmMW5Wzi8wouO9y3D6JoyTI4tXMVcmTLiscJRIgRk2j1O4izhFsKb4ZTJ09g2LBhGPTeQLRs0cKYYBuakuu13T7Itm4/VZOtarpZgh2fmIjfdvyD33cfxB8HTyAh2YqCuXPi2WrlULpwflQpURhNa1dBt29/wvttX8RL1cuLvzBL1hWhgJZos/5AakOWJkXKbNOEmCQrZm7eSzMX7Dh5Gcev3qZ+ormyZcGr9avjrVeeRsVSxVAkf35Vc60zC1fNw43MxL012TQ6gmaGq+u0NE6xkm6RNRuno5S3xkJQtNmEbDNE2+OCKWsuBNVvDUuI2K88LiCpnP69GSdporUm44Rks1pt/VJsG6o1iL7tpJdsp0eznZCYQPPnbtpIxoU/6bhAzPlI0DOida5SpQratm2rjAt6ePlR64m2zn9a8Y1jvhMTwzmzZlAScuTgQRz6dz/VehQvWZIS7pebt0SpchWQv2AhJZiZx4e5OCnEhHfKZx9j2OT5GsEsJdeyBoLJRKGaizOfmSVZT/o+YgbptFphDstubDLOarglok1yLMvL8oWzY8WQFxAeFoTHCSTeCckZn5pGOXVhj7au+tLaep3bn0m57ou/uRep+7+vX4fNmzZhx44/kSi1hYbPNqJzlEpVqqD1a22pu5zRDEid8BuTbO/v3meJJW3hx5mUhBw5dBCHDohtgWi8CeFu3qIlylWsSKOX68l2qkSb7XfocObGa61bY9263xBEOhivMVfWZsukm/nMmIkr47JMvKUxwWUnJuOjMOezQSiUO6dq7UT2yZIDIXVaiPFDHiMQvpBo9RY4PTJkW6obpC1sWE/GhU34a4c6LpC2ULp0aVSuXAWvseOCH/6T3uckrqozZ0ynbeHgvwexf/8+2hZKliqFpk2b4dVWrajAq1DhIoZE2+PTbFwbQ0XQxVCR+QY7tgzr0xWffj8TQaFZNLE8ZAEuq83WjCk6sr1r4feo1qYXhJAs0tgioFiuMExsWw1Zgv1nLHhsiTaR2iRb7an6RxhLaQM7xtfGQExNyATot7VrfWwVaAUlmu/Fi5dg/YYNlNTWrVsXLZo1Q/PmTVGjenU6+dNFDPBNstP6U8iTfIloa9aZzPSeNm7agqDgIGzZvJlKtIKDQ2gamPcGf4QKlaswBJtJ2UVyox47hvWrluHd4V9Qkk0INiXaxFxc8s1OcbhxnQT6yFuU5rIj2uxkQrDtLslk3IVLqyeicJP34HIKdGBw2kgKL9Ev255wB8lHlyOkYht4nHZqMq6+XaKZVX8oquWOvQhkyQ1zeAG89lIdrPjfQEPzr0cRxBSGTKZIc0zNrFXR3ikkwURNSEePGknTYn35xefUlzlwU3Ij6bovss36Xqvncdjt2Lr3IBZt2I51O/fT56lXqQyaP1MLLRrUQI0yT4mSfEb7fS8hCZPXbMPRS9fxfpsX0LhqWUmLLZmoa8yq6QZtG1G0x8xnANfuxOHv05ew+9Rlqu2uVbY4XqxZkWqFth0+jU0HTuBGdCx9R+1fbIBP3mmPauXLGJiHE821Llo4lSCLbYy2OXpdWaMdQCeltHuRXLPRZenzSSSbai0oqRbJtWI2Li/lCZfHgz034vFS7yEa6fajjOu3I7Ht2EUUKVVO44tNJrFEs61otcl64mpvQLr1k17xp9Jbhvg3NU8v2Sbjwh/bt2HJ4sU0e4U8LjRr3hzNmzVH9Ro10vVb+SXaqQV6Y8zDk5NTsHvXX9ixbSt2bN+K2zfJuBCMpq1eQ4+BH6JsxcqaeB3a/NcCEhKTEBcXi9wFi+i02FpNNjsJsmvItarplpe3juxC/O2rKPZCJ0NS7Ytwi12bRLYFAU1rFMbMfs88VuNCZDwRRBvPDfxrso22eQuGvPaT/hi9QXp0Gvy1SVv4c/t2LFuyGBt/F9tC7Tp10bR5czRt1gzVquvagoGvaLpJto9zsee0pqRgz66d+HPbVvyxdQtuSW2h1WtkjvQxKlWp6iWcCJRok+clViUfDf7AULjtpb1WzMNZos3sp7hhuaiF0//mLUP+XNnxdovGouUTa+3kccOc7ykE13zlsWkLhC8kWG2p66F0y8wCp0tsC0uXLMbv0rhAAv01a9actofqurbgrx2ySO9z6l9jSkoK/vrrL2zdsgVbt6h8gRD+wR+JbcGIaLPkWu+WpLeWcjOBzOSx5cSRQ9i+4Vf0Gfa5Yiau9dFmtNkedTyRhbfyGHLl6H7kKVeDphZm00WScz5dMg/GtKj40NrCQyPa5LLJNptkRmoK2ORI8z2QY3xs9CmZZdCrVy9M+PZb5MunNVOOjo6mOU5n//QTNcsoVqwYcuTIjjJlymLFsqUG5FlHtFPZHjBYM1VWoyaR7Tt3Y2i0ahLen3CboZ8MoVEMHQ474uPjUadeffR4tz+atmxD0xERsi371o0fPQzN3+iComUrKZpsai4uEWxCttfP+BaVmnSEOWcBSrBJEDSi1SZEmwQ8i7tyGiF5y0jm4kQCaxWJNtVmpyDx6EqY85WHKUs+Gm1c8csmDVZkXHQwc0ceBYJCYclbUfPjjejTGmMHtMOjDtIBRcan0E4hNb8vlSh4a+jIcv263zB3zhxM+uF76r+vDO6+TMmVgdzfdgOiLR0TdScGP61Yjx9XrEfE3VgUK5gPOcOzokyxQlj59RBJI23g0y35hJNtMfEJmLr2Txw+fxVlixSgJt61yxRD/hzhsi2DYdsgcQCuRsfiUmQMTly9TUuKw4kSBfLg+WrlaN7uQnlzK77ZMokm+baHTFuMlX/shcPlQlxiMp6uXgnvdWmH9k0bI5hIkSXTcK0fthzVXW1jqlWJOnMV4/5Lq7wsVWTmo2qx9cFwVK2FE5BINiXY1HRc9tNWifaXi9ajT9++KNm4DR51kEH190Pn8N2Y4ej20UgULlZcCQQoE2nqci8TbUbLbajdZoiyLx9t78Bp3oTcyIxc+qgQmLvR0Zg3by7mzlHHBWKiWrZMGSxdtvy+3osvs3EjQu2LeBtNhIiVx5ejhmPj2tVwOB1IjI9H9Tr10LnHu2jcvDW19JBjdpDfhpD0BZO+wTtDxmgmQnLUV9Yv29BsXDYVd6lkm0QvPzDlQ1Tp+TVMQaE+CbaRCbnYbMSotWJ/ImBQy0r4qG01POogzxQVn0LfmQy9bpmdN5rSQMRZXa2eIOsJt9G5ZcJtdG3ymZisLpg3D/Pnim2haFGxLZC0o78sWebzmTXEmVnJaqcD1WSnGkpHd8+k7nz26VCs+5XMkRxIoHOkBujdtx/Nyx0cEmwsgDOKAQGgU6eOmDVzBvLmzmUwDuu12cak2zAAmsuJazdu4YPx07F6wnDxvJoxQSbkbgSVroXgCvXxqIP8NolWm5gaFJmMaKdyoTvR0Zg/bx7mSeNCUcIXsudAmbJlsHip97igt6K4j0v7hT+BFul7hg0dgjWrVL5Qr34D9OnXH63avIag4GAvM3Ejs3Fv32zByx3p3OmTCMueA3mI4FbiH6x1lDy+OOSlQrRVv+zYiJvYOW8Cnn9/oirIlbJakPGEXOetusXQs2EpPFFEO8Vmh9Pt9ho4fEFvphRoBfNpbuFDmsti5syZKFO6NJo1a0a/nzt3Dt999x1WrFxJJU9vdemCPr17o2jRIjSieOdOndCgfv0MINoB6vh1fqGqhk01Z23TlgREW0vTQcm+2CSIDtFwz5k9C3t3/U1NQ97q2QeduvVCaNbstEIfOrAP5WrUlUi2SrQpyXa4qRbk95nf4OXBEySS7ZaijbvgsLuRcOMibv29HEWafgCH4petBkBzpiTCmRgFDyx0YFDMhRlTcQJPwg0ISZGwFK4nj4YiCRdE7daSb/vj9SZS+o9HFNEJVpquhR20Zd84I022QhBYX1QmMvmN69fw/qBB6NOnN9q0fNU7orgv3zBlu2CwXUu2z168gok/LcKy37fTttC11Svo2+FVFM2XB+N+XITOzZ5Dg8plFe24SLZl3232XCLBpATB48GFm1HYdugkTly5hTvxiXQ98ckTwWgzAIQGB6FUwXw0EEz10sVQtVQxZA0LFd+dHAVc8a9mtNVMoDPSmW/cfRDTl/6Gvw4cQdGC+TGgawf0e6sDcuTMYWgirrEiYTTphiodjVqFTeWimsZrIsBLwW8U7bXsm02sPRQ/bXG7LLjoNXEe/vfu6yjQuD2CipTDo4z912NxK8FG67rbYcfU0R+h19AxyFegEEOgVbLNEms2KjnVepPUcD7bij7QYCBRyr2jOZMl8f2cPOl7rJLGhTff7ILeffqgSNGi+Obrr9CxU2ca7Mx0v5MghmTL31PTZstBarzM+hiTP3kSZLc7sGP7FiydNxv/7t2F/IUKo/3bvdGmSw+Ehmej2oTNq5bSSUvj1zr5NO3T+F/rooyTyZE+KJrDaqPa7CyFymjItEy43S52HRsQTSpS3yGmkxHb0fT+z6JlXZKR4dHFnUQrDTZqBI1RcyoWekYm5WpXZeCDrSfnuoP9kW4SE2DKD99jzSqxLXR6swt69OqNIkWK4ttvvkaHjp1ogCd/0GuvNeuVbfp95e9KI9EcHegkV342QrT/3LYZ82b/iD27/qZ+4j379EXPXn3ouGBEtNksCOQ9TJ48GTOnT/UdaTwVbbYacVznTuRyotPHX+Dzvl1QvlghiVwz8TzkfSWhdkjtprA84uNCklXkC4HgPyXafrjI+XPnqMJDHhc6v9kFvfr0QdEi6rigbwuB8pyMeDb/liPqWEIEoYQv/PTjTOz+W2wLvfr0RbdefZAtew6vaOPsmGIcaRyS9ayHRlDfv+svvKhkrpCiikufWeEtDZopubCq44i47u/5/0Pp59oga6GSIgGXIpLLRJtaPLk9GNOqMl6sUODJINrE8d3OBD+TNQKBQC+ZTcsxhtv8aMlXrlxJzVXq1qmDr7/5BsuXL0fhwoXRv39/9OjeHXny5DYWm94X0U4l2JqXfzbzWc6HrHw3Y9AHH2Dge4NogBE5/6ySl84j4OTJk5j740z8unIZTRPTrd/7qFSzLqx2O6o2eI6Sa1KxrQzRJn7YV86dRorNiSyFy9DvhGDTAGgS0b6w8lvkf+ZNmMJyw2lzwGFzKH7ZzpR4JB5ahOAyTWkObc2rk7TYBJ7kOzCF5RIDU+l/cIlwh4eF4q8FI1CzwqM5qSIBbmJTRJN5/URfXOcnsBOrkWMIA9mXRKsf9sknKFiwAD4dOpSuMzRd8xeR3OO9/cLlq/hy6k9Yun4rihTIh4FvtUfP9i2QJ3u4VyovSggZU3RFs62JXi7XeW1gMMUvWz9jUhiOLl+38hlaX2rW/JuNJK74Y0v5ri0WHD9/GdMWrsCitRuRLWtWDOnXHf27daFpMpS25XU9+buPH1hpy6wZPA1BpY02rmg8xAmTaDpOQvQ7KMkWnAzZZjUXggfvTVmMEZ2bo3C+3Ahr9MYjG4n8VFQCTkUliibiknbo9pULmP3VSHw8YZpCtn35Z+tNyYmWW9U0+Sfb4q+oj1BuvI/8c1++eBETJ3yDVStW0HHh3X798E63HsibJ0+qZrwZRrID0GanJUgNmZCQseHs6ZNYOvdHbF67AlmyhuONXgNpUMzt61bi2ZbtERyaVdVmy1psZjLEEm2VZKsRYmXTP6vNjnO/zkSZ1wZ6a69dhGR7m42zgdBoP0GXYn8iCvEEhAWbsWZkM1QpkeeRTeMVZ3WkQiK0tSl1s3HvbarAyHsHVpjEfjc6P8kV/d2347F65Qrq30y0wO+80x25pbYQKAxNxHU7pNVcPK0TXO07M+EMmSPNnolVy5ciPDwb3vtgMHq92xfZs2UzFnwDGDVyBNq1b4d6tWv7iTQegDZbciNifbM3/LkH+4+dxufvdlb9smWSLWuzZcsxst5kQthzHR/ZcYGm+CR8IcA5/39JtNV2pV6NpFb8dvw3WLlC5Avv9uuPd7oRvpB6W9C3Ob/7/UdEmx1TTp44gZ9mzcRKqS30f38wuvfqgyzh2RRrKdUnm0kpLKjcwyO5pxJt9ZI5M1G4RCnUbfyKt8CWcVkShbIM0Xa6lTElKT4eQlAoXLCoBFza16VJCelBqMWEGW/VQfmC2R9vok2CE3kFP/NZsXx0/qkel9pZvM9htM+CBQuwZMkSGh2WBCoYNnQounfvzgSuEf57oq08NKvVhk7Lpmredu3ejb937cbwT0doIo7LkySyjlTomzduYsbk77B6yc80DUDbrr3w9gfD4YCZ+mUToi2bjZMUTcf/3oanGjSj2mxKtG1uajJOii05hZqKuz1BNPgZyfPoJHmzKdFOQsql3XA7HTDnLQe3Q01BID8x5YQpMXBHHoGl5IsiUdJpulkUL5QXexePRoE8OfAoIdnuRESC+vysBlv+Lv/crHmrooEzMlkzab8TM9bdu3ZhxvRpyJY1C6PZ1vllS5FQNdHIme0kMN7oCVPw8+r1KJgvDz7t3w09O7Siua3FFFTqhEBO5SUTQdlM3ItsSyRTJNXkYfXkmm0LTH3X+Wab9NpmDdGWtdjks0SwpajiNKI4KXRf1Q/7ZmQUxk+dg3nLViNXjuwY+eFAvPtOF2oupfhm69uhL0jPo7R5L3ItRaCVvyvv0QXB6ZCItl6jLZNx8R1/u3QjXqxeDvXKl4ApLBvCGhMB16MVKPBGnBW7r8YwgiVVm+wkMR3sNhzcuR1N2nbSkGl537T6baeW6svY7FxcR6TwX4/7AssWL6LjwkefDMXb73SjKVZYP1hfwmB5tb+BV286a2QSm5o2W5n4IHCirQ+ARiKW/zLjB2xcuRhZs2VHk/ZvouPAofCYLdq82XJO0zSQbLLfld3r6QSoYL1XvQKgEZKtaLGlz/KESSbasrm4TLJl4R35VzRPVmwY2xL5cmbBowTi/hKdqE3NI8O/hkv664MMa9bptda6iZURufbWZAPRd6LwzRdfYNmSRTR/9Ycff4K33ulG50h68/KA4McPW7dbQCRb3jfQWa7eFJ/tEyJu3cLk7ydi8c8LkTNnTgwZ9il69u5NY32w7lxulwvt2r5Gg12J8Xg8gRFrhoiLAdEkgs2QbFtKMloPHIVf/zcCWYODmAjkcqYKhnAr5NsDU1g4wl7qSpePEkhGoiSJLxhw2gdDtNOsxBP/kiCRX3wxFksWiePCx58MpQSbDXQZ0KlTaTYZKUAQUiHa8mc18JnYOm/dvIVJ30/Ekp8XIkfOnBg8ZDi6dO8FS5DFwGxcUIJssr7ZpEwcNQT9RnxJ52GyhZRsFaVGH9cGQNPH/dg69TNUbvk2shYorsupzbgb0fFC/FwgWyjm9ayPPOEh+K/wn0bPIQ9qGGGclc5rfnwh1QnIg5ASkAAeU6dOpVHHjxw5gvHjx+P0qVPo27evz+iw/yn0WjJ2Qq97gw0bNsTOnTsRGxsjTTqZSSMz4ytYpChGff0dft15EAUKF8XyOdMxsH0TnDjwjxIFUG4AR7atg4uabJBJFEm1pEqPSMW+vGYinCkp0gTJDY/LCY/TQYOduQlhCMsJS/6Kagov6XZZgYfn3kVYijeSSLa8VV8/RFyPjEGfMXPxqAY/0xTWBEeeMOt9XRg/S1Z6qHZw6ncyEejRqxc14YuMvkvJpKCkpiKfLTRvrUhUif+y/FkkqqRzmzTnF1R+sQ1+27oDE0d+iPN/rUX/rh3FtiARXJOc5orR9moIsGTKzRJglggTU2+61JNgEtSNRE4NCoYpOJhGUTUpn0NogVRMwaEwhUglNExbQrLAFBIGkBJMllnEEpwFQnAYlYgKlhBaihYrjqkTvsTpvX+gZdOX8eHoL1G/WTv8feAIBAtJBRZAIc8gP4c5CIJStJHMRS25VAw15ey0Qa/JF9cXL5AXlyPv0m+CNRH2Q1vwKIG4Tey9FsPUW8mXS0o1FRwShrBsOXHr2hXM/nYMXETTKW+XJORKpGwmPZV+oBfbFOOvTImm4NefWWyT4vEOhxMzp0/D03VqYeP69fjiq29w8NhJ9Or9LkJCxUjJYnfsf1Ri+zDGyEFT9IOhIcnWFMFwXcBgYg4q70IA8hcqgvfHTsDczf+gRLmKWD1vBj7p1BynD/5D3522v5EmNIp2nAl8oyvib0YCZNpQoE4TrwjicpAzzWf5u7RUSLbkjiIL8eTlzbuJ+Gj2Ljxq48KdJGOS7Q9qHZDHEuO6ouzPbJO/q8fItYkhqbo5GpkjkbbwDGkLG9bj8y+/xoGjJ9Cjj9gWlLMo1kkIqGQEyfY6bVqageY9aEFcQSZ8Pwn7Dx9Dsxav4tOhQ/BCo4Y037EinDAB27dvQ5MmTcTvysk8uiUrVGayTkBv8SRn4hDJ8+Rf1qBPu+bIGhrCZPuQLTmMSTbZz5McB/uB3/EogQZLZviC8pM8iEm/DDbgXQAFUluYPm0q6tSqgQ3r1+Orr8fj6IlT6POuli/olYS+ij9hWkZr6QMl9CaDtvDtd5Ow5+BRvNKsBT779BO0fKkR9u3do+zj3Q4FaSwVS0JCPN4d+hksQcE+Tc7F5qMew84PyPJe5E2qtMteqKQqJJbTPsqFHUc8AiLirPjit5P4L2H+r5PM+4RXh5v6rg8C+/fvxzPPPINPP/0U1apVw88LF9Jc2mFhDzcPmwodwWY7aHkzA4vZgm+/HY+3u3bFgf37VS2PKKdlz0hLwaLFMOe37Zi2agtCw7Lgs56vY/rI9xAXe1f0n3ALuHX2OIrXf0kT9Ib6U7g8SI66CXNwGMxhOSTTPzeV8BKyTRqE7fpBCMQvWzb1Y5SVyiOkxMBcqA5MQeI7Zwc9k8A0emb9pt0n8PM6MuA9GohKtFJyoO+MRNMblQDoyTMb3VHez2uyq/luwnPPN8aEif9Dtx49cPX6DYlQS2SbEm6JYEsaXXGbGfsOHUW9Zu0x7Mv/oUu7Vjjz9+8Y1LMrwsKyaH2WlWBhGodWHdk2a8m2okVW/acV4i3lsjZZgtVCyXYIYV0iqabEWirK51CJbBNirZJrpVDCLZPsMAiEZFOyTch3KA24JwSFiMUSguIlS+HHqT9gz9bfkTVrVrzy2ht4p/8HuBOXQAm3YCYlyLhY1M/aFGHiu1YEGkTY4eUDLr87XaVR1Ets0EMTXqpVEb8fUAcOT9QVuK7+twPJ/eCfa/dgJxpLtv56tPmcyXN2fu8T1GzYmEZHJXEfKFnTRDH1Tba1AiyWbLO5QL3JtrzPvwf24eXnGmLsqBHUz3T/4aPo238AQsPCVLkn0jGhD4h/eJNszYfUlqnejDfhkk0A5fUFihZDibIVMeyHOfSZx/V+AzNHvo+EOCIgYTXjUnowmXDLpJoWUUshazUSI64jT8X6MJF2JEcO1xNu6YZU8sguGZNxhmSz3/84eh3Ld57Ho4KYZP9RlQPkq1oXA4O6Jm/Tn1NZr/ORZoUvB/fvx8vPN8Tno0fg9Y6dsPfwUfTpPxChoWGa6Qlbf4QA/8nX8kecUyPZmvdl8IyBFPY+9HiqeHFMnj4T23b8jaxZsqJli2bo3bMH7t69S3tn4nLYsWNH5WxqZgn5MxszRV7PEmvW6kmSWBF/1rux2HPkJF5/6WlN8FJN+k0NyWY13B64b12A89IxPCogJNvr9/zPrh4Y1T6w/wCea/gMRo34lPpcHz56HP1T4QuqG5Jv8v5fIhCLX18CgGLFi+O7qTOwbttfCMuSBZ3btMDgvr0Qc1cU/OshMH3DhmWLcOLwv9IcVt+/a+ezTDPQkOjgLNlRu9N7hsJcJYYHs78spN197g7WHb6Jx45oExMQQsYyK0j+uNGjR+Pll19GeHg49uzZg+LFi9N8p1oEIA3wMu3WmnkrpqeG21kn3TQ2Oy/zVPF7zRo1aKqZhQvmY/TIEXDYSLAh1TxSXpJBK+ZONCZ9MQJlq9bAN4vWod/n3+PE3p0Y91YznNi9nabDeLHfaKphlDXYrA8dIW5567/BEGyRZJOo4m6nDc6I4xBCskn+u2IqK+U9mohZoIPmyhbTKDGvRR4xFVKuHRZJAxryv2W4dvsOMjsSrA5qgq8M5LqfTNVkq9MP1RTUWHvNHsf6ycjEvELFivhx9mz07dcf5y9eVAm1V0RtM42fMOLLCXjhtc7IFp4V+zavwZSvxyBP7txMWittYDAtQTQZa2AZE21KpGVttl6LzRQSDV/UYkufFdJNtNoSwZa02JC12YQ0S4RcJM/kO1kSci0XQrLFpYeUILIkmm25iMcRwl27Xj3s2LYZs6ZNwZbtf6JG/UaYOXcBjp85h/OXr+J6RCTiklJE8k0Lq822KJps0XJAItz0/TPWA+xvoLxPdb0Y3I0h4oy2m+QoJ7/3nfgkZb3jxF/wWBOR2XH+bhJuxluZuq3z55LjSUjkuXrDxrh4+jj+N3wQDerISrf9kW0xPoU/zbYx2SbX+Orzz9C2RVOEZ8uGrX/txvj//YBcefIwUvrAhb/y+eXPqdMldeKhJ0PavQKfhCoji254Ya6ofmZIbrse/VHvxWb4fOFv6DP2O5z45y981qkpju3axljkqMfotQ+a39cDXNuxHB5iEuuXSMNwKZNvtuPUpANk3sbni/YhIjYZmR2JNid1zzJEGliiL3JrREi9rCmkbd5jkACb3YYvx45GmxZNqH/mlr9245uJPyBXrjy+hUZ+BEq+HtPf1CoQkq3XSqeHnLFjrtwGWZCmU7t2bWz540/MmDWLarHr162LVatWITExEUUKFdTWRd18xa82Wxd4VHbB+vLHRRjZq6Nkji6ZilNSrU23KQYE1LpqyVYftoOb4UlOQGaHzemiCpwHijRok/WHkXSmYz8bjWZNXkZ4tnD8vXsPvv9hEo3P4ZdAp5NJ+9Rym9JW7pfJ+zq8Rq3aWLNpOyZMmYm/d2zHq883wB+bN/oU9AkAThzah2p1GjBzW+9o5d4WUR7lM0lpe+jXuQjLXVBcz4w5xmOJbB0lrvtu41lExafdeijT+mgTE5DElDQ+kFLpfdcMf5IWr/38bDx+7Bh69+qFixcvUrI9ePBgGiXwtddew/p163QHyD27v9fG9vC6jjUtvtr6c3jdO2NWqgvSpJikMk9PCNLvGzdh+vTpWLZyNSwhodT0mxQ7LR4cOXQIO7ZtQeeBH8Mq5cyOjIzA/C+H49TeP1G4fDXUaN0Vheu8QlN5sSm9bAlJiNi3HrlrtqYB0GhaLykAGvHPtsdehyP2GpCtKOObKz+ryLjdkcdgypof5hxFDH45aT9ymElOoqTd59mK+bBj6QRkVhDhxPXYJFGbbTBJMPmSfEq/tcYvW+dPykYlZ1N+qbmIBURFRNC0dVMmTUL5cmWkgV31DTt27Dh69HsPFy9fwZihH+Kj/r1pUKlU83vKAbyUwCxMGi9pAqF2NXqVRyr1m6nbioZc1o4rJuhyOi7JJF5joi5rkkWzbkqELcGIS7LipwWLcPT4cSQlixNx0u5FuQ4RAonXlckUiV1ATMH+/fdfXLt+HVWqVKGCOPKsJP1FfEI8PSZ3rlx49pln8Pxzz6FM6ZIwK8/rHX1WeadK8BsnTDSiuBQITQqGpkYf16b3kidYfx05jVW7DmFKvzcUk0VzgZIIe7ZdpjYZ//VUBLWS0fbnTDRfye9RrtuyD/ahndtw8fgRvD14uJRfWxsELX0+29o8uKdPHseH/fvg6uVL+PjTkRgw6AMEEeGPxqdbbZ9q/AS1bbLQDAfSX3+EglloN+k10Iwwjt2uEQIwPtqKtl6yhqEhFaQJjRqARk7FIn5OsdmwZOYPeGPAJ0qu05joKMz7cjhO7PkD9Zq3R6v3RsESFu4VVdxOAtQ4tflPSSTbwzOGolrfiTSqOC0+cmXrU3uR+k7mFEYm43IwNPntyZ9eqvkUfvlEzB6SWceFW/HJxtrsNBJGf/MiUzr9uE+eOI73+/bGlcuXMOTTkeg/6ANYSD+qO95IgGN8Hz426Ei2kA6SrTtEXaZlpqtpy/o+Q9/eTbgTFYlB7w3Epk2b8MzTT2PtmlXIkT2bn5RebFRxH5HGXfJ46sS5S1fx1Y+LsWDsB2oANE1gTG3cDtKolTRfjHk5KZbCZRHe9G1kVhDSFJ9ko8Fu01R32O2Bamr9nsEYJ44fQ59evWgAwJGjRuP9wYNhIcqCAJBWnpv+Z/ANoz5G30404xNrEQb/ObPJMioyCiM+GkSVE207vonh475F1mw56HhCxno5wNmhf/agSr1n1GCamqUaYJN8thvE+Di5Yz1VkJZs1EYMgkZ9uAVGAagNnknHDTaQpkfAs+XyYVr3engsiHay1ZYubbYcWMbnds1+fs7jZ9vPPy/Eh4MHo3z58jQ3dtWqYlL2AwcOYP369fhy3Dhmby1RDggPJQK5TDTkaaB8vEhO1q5bj2PHT+CTT0fA4QYl2IRok6jityOjcfr0KVSs0xApTAA0EvBs9/oVWDfpM2QvUJTmqwvOXxxWQrYloh19ZCds8THIUbmJV6RxUmyRp4Es+ehnI3gIuaBkJ9j/K2X+6KORk+o8e0w39Gj3AjIjbsclI1nSZmsk7roJhn4yT9fJA7yecDNpRTQ5gWVSodsvMuI2evXsSXP+Fi1USJkALPj5Z3wwZBgqlCuD+TMmo2rFCkw0bHkiwAZ10QZrEQOyyORPJu/eGibxoVnibQzDqOIS0VbyWyvpu9iAZrKm2KSYblPtsaRxdnpMmLd4GX5dtwHvDXofzz7bCNmyZ1fEPfL7190u81nAol9+wdChn9AIu4sXL0HlypWVY+7euUP99nbt3oUzp8+gRfNm6Na1Cw2s5h3RnY0uSz4Toi2Sabgkkq0PiOb1rsXzzFr/F45fvonJ/TogiLwHQaCpXYJKVEFmxJbzUbgZr2Yd0NR3HeE2ii5Onu/AH5vQsElLBFnMOnLNkG0px3Zg0cjF9rJyyS/4bNhHKFOuPCbP/AmVKldhAqJ557o3p4Fo6ycxvqAnEewXlUBrJ0Paz97B0dg4EIr2nzG/ZyOJy5oD8v3QP7tw5thhtO4xUJPj1OF2Y9f6lVg96QvkyFsAnT6bgtzFyjATI4/hJInMB+xWG2AOFidFNIWXAbl26b6zBJsh2nLKQNFs3Pil/vDu8+jYuDwyI6ISUvxrs9POE3Uf9AREu0E/R2K/L1/8M0Z+IrWFWT+hcuUqfki592zLH/k2EqWzy/SQbP2xgZFs/Q66VJpsH+RLOCcIaNToWaqwKVK4MJYuWogq0hiqCS6qy4/tM9K4nOLR7ULXYV9jzLtvokyR/BIBJ+OBtI80DmhNxiWiLQm9CSEX24s4Hoc91w6h5esgMyI+mfAFtyhIf+BEO21UddHPC/HRhyJf+GnOXFSR+MKDgikNgftSgy9hlGabH6LNap5lC0ojoi0Kbz1YtXQxvh49HPkLFsJ3P/2MUuUqKiT7+rWruHr5Imo1fJGJMq5GG5fzYGtTekljiCS0PbpxKZ56ugV1BdRHGldSQjLkWtAFRZPNyD/vUB1t6z6FR9p0/H5MxuUfO7VekpXwBwqbzYb3Bg7AgP790aVLFxowTCbZBIsWLcLbb8tSP72Gmb1Dve2VMgUKyIw81V7DH5R7YeykpGvTYBq01svpllRJ6mutXsWZ06dw+cIFGoyZTEDlkjdfPtitKQo/VzUhQM2m7fFS35GwBIVg45huuPbPFjXwgFuA9c51ZCv7jKR5EImAXJwJEXBGnxG1D/p7l6eF0SeB5BiNZkbzuNIkUZ3gijcpT6zIud3X/sLQH1biVvQ9ZDYkWJ1UaBEI2AmyIklktVRyp8dIGNVAEvrvWjNykjd9ytSp6N27D+ITE2GzOWiahn6DBuOtzh3x99aNqFqlCmMdoRLcwCNu6wiy3pBKIstKEDTFN1uMDC6bh9PAYnIANFpEc3E5ABotNACZulRMuGV/a1pC4bGE4NyVm2jT+W2676o1a/Fik2YIzhou5YonRYCNCp3EQnyHiRCK5JZX8jsKQOeub+PPnbuolvuFxs9j2fLlkv8pkDtvPrR+rS31i1/721o89VRx9OjTD6O++EoMBkl95INEU3IqBJCFBoyQTGNur0tTxvh30/co7dev9Qt4qWYF9Px+Eawk/y41Id+ZKU3Iz91JwvU44o+qNzXWBUFRTKfVQCmyWTipR3Exd7F42gRdsECdmTjrSiH7g2lMstU2ZbNa8elHgzB88EC07/gmft38BypUqqLRDGtMSQ0HHuN24a+1sKMGO+J5dZO6SyojSirDiTopM6V6P+rkSupLICD2TjRqPvuCbvIl9sYNXu2AwbPXwhwUjB/f64gTf/2uexY1oJz8zq9sX4rkqGuKeZ8yhMnmfpogaMpVdUMuYy4eAJf6fNH+TGlCrjEZ91ER/D2br3qjCHPZd6b7TeT3pzEwkvax2mwYOvg9DHl/IF7v9CZ+2/InKrJtgb0HTVtiPa6ZduPDTN1X3c8Ikq1dqX9y7b161VmWYGjuWzC0HoiLu4eSJUti7+5dCA4OxnMvvoLlK1cpB7I+2d7zRm3wM7HDEj8fOnkOObNlRZmiBVUCrffR1puMK2bkTI55qQGS79Y9G+BJikdmA0njlVq+bEVwktZJPwE7fQlsV1qImfL77w3AwAH98WaXLvjzr50PjWRrYqGmnz0EcG01wB98jjE+xjqTCa+/2RUrNu+g2VreavkyNq1dpbS1E4f+Rfy9e8pc1UgYrHyWx38pbgsZv23JiShYqS6CsoRrsmio9Vz6rsQeNDAfl5YT1p1GVLwVjyzRJpIDvwHQUoOGQHu3Kj3nDbTdRUVFoXmzpli2bBlmzpqFadOna4IXJCQk4MaNG1RqpbmYoWZO2ciMaLoL+iHbsgF0umFEtpmOXS2itJQuBQ++GvcFRo0YTjtjmvmI0ej8tni+ZvIimxXevX0DuYuWQusvFqJY7RdwaO5YnFs7E26nGy6HA7mrN4ElLJcoMfK4qf+dxyMWx+1jCMpfWb1HzWMT81xASIqCKVtB+opIUzORyGea3USzcfa5BeZcQsodmEJzIC7RigHjFiAzgQib7iaLvqgUPisr4yGpCXxm0BExghB9QCLVT0UraZQJTZmyZfHZmDHo3qMnmjRvgaXLV+DHGdMwY8oPCMuSlfHDln2GjaJi+57V+9ZGM4UNhKbxyw5mCLdYxMjjuuBnNCgaIdSyb7RYRM21GNCMEm/iox0Uig3bd+LjEaMxbfoMvNWtJ9zmIMmSgyHXbplwexRLD4ePUqJ0WWzavgOvtmpNg+GMGjWKSlxFn2JSTDBbgtG6bVusXLUKTzdogHYdO+PA4aOadGKUeCv+2FrNvcZXWybcXinMVB/uDo3roUfzZ/H2/xbQ35loxR1HtiMzgVjH/HMtlqm7+mj6WsKtkmYt2SbvuGnHd2hU8sS4OG2wQC+hk95PWBJSMV37nTvReKvtq/ht1XKMnzwDX38/hQZ40gSW8jOpZzXcRgFvfCHQcct4bunP4ovRyuktBvxdgxEmyKV89dooVVGaWBr0SfmKlUT/qctR6dlXsPbbT/DX/O+osJXth1iaE3fpOLIWLKEjzAyB1k+OmPVevtl69uYD8SkODJurRsXNLONCrOxWp5Ul+CaeqU0/DEizch5WH6DZriXd0VHR6Ni6BdasXI7/TZmB8T9MVeZIvsiyfptvUqsdv/Q6CiNCHgjJNno3XsJ6P/sZEWpv4YQ35Pa0efNmtHz1VZQrWxY7/9yGNq1aolvvvhg55gtR66z3yZbJt69I4xKB/nb+cgzv9rqUOlPWVjPRxmmHJxNuiWQzx6ukXY7QL8BjsyL5rzXITHDrooz7A1uf0wJtXxzY3Jukc2zRvCmWL1uGGTNnYeo0LV8wOn9GlECfJyMhjxGsxt/rvmSryQDut2SZsli0fhteat4SIwf1wdSvx1LLpBtXLqFkuYpMv65VIHnNd6X9RD9s4PKBHbhz+ZRXNHIxgKb2GL1vtibApkdAfLIDY5Y/2CCBqpPNA8B9kWwZ5J34mRwIaaxwFy5cQPt2bWnk2m3bt9OAFnp8//336N+/v48r6Vf56roNxEDy/gphlPYjhDI90jk921TOI1+fUUvLoI3EhNIli6N9+3b49qtxGDpqDCwmQdJqA2UqVsal08dRuFxVxtRQQMTFM7h3LxbZSlVH3d5jkLVoOZxZMw1JdyORp0YzJFw9hdy1X6d5lGmhA4Oo0Q5+qr6Y6ouYxWogs2QPzIVqMG/NtwkaS641+3ncMOetQNeQKOS/rN+Dt1s/i8wAkrKFdBAEgfzUGgGT8vsyP63A1COmbnmkN0LdqunvLksl1TpppiTDhFy58+DfgweptHb7tq2oU7MGBCKIobsJUrsTr0OmAZQ8Cyp5puv8PYQ/rTdDxNVgaQbEXN4uk1L9ko1grgQYk/20RQLvMVnwv6kzcenyVSxeuhyW0CyKHxDRQrNWAayGQjQHFlSfPI1mUNwnJEtWTJk1B9Vq1MLYUZ/i1s2bmDJjFh2I6c8i52GGCc1ebYUGTz+NTz75BPtq1sT7/d+FQG6f/pZqMDQlKrsUoV2QiLQgEM2/BwL5AenIQc4qkRKyu9iM8FKtSjh55RZ+23cc7Z6pIUYhv3Yq05iQ77oaQ4UYXmDqOfWRl2ovW5eJvzupu3ILIdvb9xlEfbaLlSiNEmXL0/fpkbaJv6nULqTziEfTN6ckRLx6+QL6vdWBarSXrtuMajVrK02M3hrTzvTNzpRBU5+0DgFi/ZKatu4c6r2pO0jNWmq3/umbPNkh74/4wc2dMAZDJ8/Tkiod+QkOy4q2Q79FgdKVsH3uRMRHR+K5fmMhmIJ0hBnIVbYmDWxIMlMovEOuy+wESTM5Yp9Q25lqtYy+f4M/j93Eqt0X0aFRWTwKUcb9QSHOfnfQavA0+xoqBIDLF8+je+fXYU2xYvWGLWJb8HMNpY3oTuX3uZjxKBBkhLm4/lh2u+Gt0lsUJ6AaWQYj71ceh/qxn8Dbb3ele5GAuvNnz0TtGtUxbNRnuHnzJn6a8j+EBgcxkcdTjzR+8ORZFM6bG0Xz51Ficsh+3WyRibc2AjmTX14i4PKSXMNx7QzsZw8itGJdZAaQfNlGv2OGkclUtLBGu164eAEdJL6wdft21KrlzRcCP+v9I0M02erw6X8XhVIw3MIPXfF1P1mzhuPLKT+iQrUamDRuNCJv38KQbyZTZQkx9ab8ghVm6QS92hSdIqG+deIAanQapIlAriXTsqDWSGDLji9i2XEqEuNmLMPoAZ3xSGm0XS53posyTlJ3vfzySzTP446//jIk2bdv38apU6doHkRjMGJXZZTXkdk0Qp5S3l9YQL1YWDUVF31/5E5aXBLtdtc3O+Pqlcu4ff0agswmpfR+fwgqVK0u+jIyLTsuOgLheUiEP3EiW/yFjqj81meIPb0b19ZPQmj+UooPhNipE2Lthis5Fo6re9WBRHmPzN0n3oIpJKfSk/iaEIhtXZoeM+s9tjjRjDYkm3LAZ9PWwGbXE/v/HsSM1+pwqz6n8P0z67UOGk2QovVjtH96KaDGJFb3nfGt2b9vH1556SXky5sXjRs3hov4e+kiYGuKhgDr79pYY60h0BpSLJs8s77WEllWUntJGm19JHIpmjebSotqsGlKLVmbLWq0iQY8NjEFXXv3Q1jWcHw3eQpdp5qJe2B1iQH/kh0eJJFYBErxUF/6FKe4j6jhVrXZqi+RaEres99AzJy7EL+vX4eO7dsiJvaeGlRKiX4N5MqTFz/NmYOo6GhMmjGLSa3GRCVXYiyI62WTccV0XHo/igWAHLVdykdOju/d4nnM3bJXIqiA89QuSavycEEijF+7R/LH+9ciEWik2Zrc8d7Rw0tXqo4fvxoJm81qaELORiNVLD6k9nHk3wN4q3VTBIeEYumGbahSvZYqYNS1Kz0MtRGsVlvfbO5jNubzUKnP1AZnYwxHpJ7HbHA/+vtlIT6ugCvnT6NE+UqaYc7ID5r2zSYT6rbrhlafTMSl/X9g49cDYU9O0Ggp3E4ncpevywyljNpQdgVih1h5P8aNwOdo68t6hrG3HL/iEGzEteIhg44LvvyyDaB7HQFJZjTaIT+abnm/Qwf24/VXmyAkJBRrNm9H1Zq1pPeutXBgfzLWJcBI0625Z/nayu/oy3yb+adLNRcoyfY+u34n7+f3egblPNr9jAQcl69cQenSpZSbI9Xt/QF9sWjuj1j7+ya07tQVcfHxanovpBJp3OPG/xasxMddX9Oso0SZyZMta7C9/LIVYs0Utm15BCTv2ST6gT9kEEswp0ttC2z9Tv/MOjD40s7uP7AfTSS+8MeOvwIn2al0QfdTDK+XhudUnjeA87FKB/27MRrf/Ik4TSYTuvQegHHT5uLvLb+j8/O1kJTAuC4w/bp2Lqsfw8VtNTv0RWiOPJpYI0YRx8XxhG23sjablW0JtA2sO+uEPQ398UMn2uQhia9FZgJJ19WmdStUqFCBarJLlCihbGMrx7hx4zB8+HBFg2UITS+gI9xphU7x7R++ZqfsMMAE3pAINSXZbhddiubjLtqxmwUP3n9vIH6cOY1qsoPMpJiQPXs2TBg6kA4ESuovAajd8k0UqVpfE24/b7XGqPjOt3ClJCB692K4rMlS3jrRzIlEw3TevQhkySNquGW1ru6BPTHnxVRM0maVbotqRvYoQdKqKlJ6wQNP5BGYgrJozk38tKcv/xMPE6Qt3EuxB/g7y1Nb/Tn00j72pzcwudGb5jGdF+mI9u7Zg3avtaZtYcu27Zg1ezY+GzMWVrtdk+ZLzfEsmTDrb56dpSsmBlqhkRidlfXHZgi2xiRaTfclEkhdyi+ZYEskW/0ukmyVYIsm5sQv+8ylq+j0Ti/0HzgIvfv2hwtm2D1QzMQJgRYj63uQTMk2S7TdSJa2kX30puRKZEwPFNLdrE1bLF69DqdOnkTHdm0Qc4+QbTC5g0VzckKox37+BSIiIjHzp/kqyWYjpitkW80tLobPZog3817E7VLqNLMZWbOG4qWaFbH9qJhDWEhJhPPCITxMkLq67/o9n5NwvbAISo/mi2yrA3Du/AXRultf3Lh00dCEXCYEymAsfT+0by/efbMdSpergF9+24wiT5Vg7kVrOirema59GjFUP7gvLYTB8Uq3wpJtA3NxJUuBX8WOEpNaWUOeNXf+QnihTUfGJcX3OCf3OeUaNkWbz35E7LXz2PrNQNiTEpU+LDnmNiL2k9QvLP1Rfb9lksSu99Jo625B7IJ8xINgBdkmE6LupWDBtrPIFONCoPvDD2vV7GdML/UE3WgKceCfvXi7Q1uUKVcBKzdsQTHSFvRCWx8E2LAdB0LA2SmM7uF8HSNv0xyh1zMEQM+8jjXsi/TPoAro9GTb4XAgjKSZlEm09EwdXmuFTauW4PipM3j1ja6IiyMEQ5nl60i2rJ1249jZS8iTPRuKEW22hlyrkcWVCOU6c3JFw60JHChKGVnTWXfiPViP7sLDBLkPGrvEe4vyIzxosk3BdBV79+5BW4kvbN0m8gU/PYvXaR70bT6IY30Rag3jZvta3VnlVf6u8dKrr+H7X1YhMSEOn/boSMm2pjvTzV/ZMUdug/FRt3DjyG6d2TjrLsm6GKnn1ZNu2e/bHn8HEdum4J4zHAv/vIhHhmiTiIHE3yIzkWxiLl6nTl389ts65MmTR9nGVorffvsNuXPnRt06dbREzy/J1mzw+TUw+HOgE2uIrM31KgJTlOiWHp1GmzE9kvy169WphZs3buBuVCSj1Taj6FMlceHYQU3KqDO7NuPWqYNKpFq5kmcrXgX56raGMyEat34bA7ctUQrAIQ0IJgvMWfPT76KOyOjRCQGz6OasapPXNGulF5BesiOJpgQzheX0Ou3/ft5KfbYfptaCRERUOzCtf0tqEAzJNuO7LRMCr4mBd0AJ8ub/2bsHnV5vh1p16mDV2t9oPuCcuXJTX+3ZP/0kmQlJ6eHoZzZ3s3xPRkNLOsSzNDCAnJZLIpUKYZTINuO/rRBsRqstbmN9swnxDsbS1b9Rl4h58xegdr0GcApmODwm0SfbaUywEx1uRMXG4WZkNCJjYpHocNFtXoSbFilImhQZU9Zy16z/DBatXodrV6+gc7vXKNkm2myi9Zb9iulvZzbjy6+/xsnTZ7Bq7XrV9J0xg2dTk8nvRBREyCRb1v7LGm+tUKR04fy4E5+oSIudp/dCcPw3eSONcDk2BXeSHb5lhb7INivNloi34mPN+F3XavQiHcBvXbvKbPPOKS8T9sP79mLg2x1RtWZtzFyymrYDhZywY7QyefcNL02xHx/t+yLbBkOESqjF3sVQm64UqT/XZS9gDVU05ycTm5i7SIy756XZ00MlcuI7L1yxFlqMnIXEO7ewY+J7omabtAO7DeZQSSjKTKDkd6wng3JFkMmN18NLH5R/vp6dGU2mbThOffMeFlLIuBCgxZ9evuCLbxuScdZEUhEXeZcD+/aiZ+fXUb12HSxY8Sty5s6TOnFmxiNt0cU/MCDI7D1rxjij/kD/PvTbdA+ueU4fOgkvMm30HPrtzDH634WOirTfZTsL9aLPNqiHzasW48r1G2jRuZtItjUm42rwMzmA7aRfVmFwlzaqplozpzPOnS0qM2SCLejItZpSVdRui9dP3r8dHlsKHqY2m0Si1oMRuTz4m2D6B6KIeF3iC2slvmDYZ6fCuulHQcDlS5ewZvVq/G/iRAwcMAA9unfH8GHD8MP332PL5s3Udc8fifdH6lkQ83aSXm7NmjX466+/cPz4cWpdanTbqT6DbjzQXN9gbFMFvqm/6mp1n0a7d/og4sY1jO7dCcnEyoMhwSq9Uue6SgBTCLhz+QyNzaONvWIQv4OdCzNBN+XtYpMRcGf3AuSu8wY9x4yNZ2gsj0xPtKk2+z8y1zWUvuiwd+9ehWSvWr0aWbNmNTzXrVu3MGfOHIwdO1ZawzRudsbnRbL1IwezXqNp1oiHtJ/9Qu24WVMj46I1PyLEWtRiq+bi9Luk3Ra3u/HhB+9j6qTvKMkOlkrbzl3hctgRYiHfzdSMPDxXbty7cUkRQsiXdbucsN29juLtv4AzIQpRm8fDbU9RJKmUAIeEM+Yc3o9oKfmi79fhs581QXAkQXDZYSnARoAk+ZXNlIzEJzvx3aKHEwyKPG9cioMRDPhYKvB+AewazQDPaq0NyDZLQmRisW/vXnTu0B61atfBkhWrkYUEPZN+w9c7dMC2bdtF0zadrVJAAfuk+iz6hAZCvFWNtkgQ5WjaqmZWJpfEtFqrxSbrJGJt1gZCS7a70H/wEJw+ex5Lly1HrnwFFC22aCYukuskh4uWyLv3sHrxQozo+zYuX7uOlQvn4Mdvv8DSn6bj+u0ojB7UGwtnT8elazcQZ3Mh3uaihDyJpL1zkvR3HhpAza4Qbg/KVamOBSt/w/VrV9ClfRvExsVLZuRECSGRbuqaasZ333+HBT8vQkT0HcWEXIxKbkCypaBwxLdV1GKLZFvNI661PCBCMhJ4RPHjs6XAcXI3HgZI/dt/w38mALZHNdJsayJUw9iEPFe+glg0ZbzPKOTyoHzkwD68360jqtSsjSkLl4ltQb6+RhDuPdXzPflRP/22di2aNm2KTp064bPPPsPZs2d1pFaN6OprQuOz+CCRcmoxMQ2RlOZMLpLpuFKkOA7yepagaiZSJiDhXgzOHz+k3Ke38M838pWqiCbDpiP5zi3s/f4DOK1JyJqvCArWbYrAIdNj1SWFDbaodVFhtdpG5xEfjowLM38/iUyhzWanFfp9jVb6PrPXN80MRBHAavW9B/f9g14Syf5p0QoxGGZqmmgdidUGF1RNPjUm56mSdv/XMCTgrAZM14cYvTevc/vTzOuCjrL3qhV0i8vwrFmRlJTkRbLlPWtVrYxNyxfgyrUbaPFmT8THJ+jmbSrZvnozAk6XC2WLFVLWidGUGVKt+GLTgUWKiyOeQ+OTrWiwxRtX1klLwZaM5AN/4GGAXD/Z7u2bnaEwEFD64g6EL8gke6XEF7wEm0ZWQ0yJi4vD0iVL0L17d7Rt2xbTpk2D1WpFo0aNMHr0aEyZMgV9+vRBgwYNaMyot956C926dcPKlSvF+pMGkMDNCxcuxJtvvkmvd+XKFZpR6eTJk1i6dCkdfwi3MXol+vfgi1Arz6wPrskERdOc05fQlkHTth3xzfwViLxxHWPe7YzkBNm9SDBoe1pTb4ctBXlKVjZwZ9H1NWoHoWyn47+kJBQ12h7krtUOwTmLUCFVXJIVMzeczPx5tEk6rwwJgsZC+eFMvoTZhj/o2TNn0OSVl1G1WjWsWfOrSrJ1FYGY/JAK+e2339JI4zK90IlXjD/7vGHmChpSrZN2SkvV1Egn5aTfJZKtJ/eaW2AJPjEbZ4NlSMcqrcckagAlv1a3ORid3u6ObyZ+j1z5CyHFJfqnbtu2FcUq1YIjKAyxyQ5cu34Tpw7sQsH6LRCX7ECK1QmH3YXEiBuI+Oc35GvYHYk3z+P2+rEIzvUUstfvRrUXiQd/QVCZJqK0VTP4iPcj2BPgibkASxHjvI5kTzFgFBNEjjyDxwP31T9gKVofplBGm006ALMFZnMQLKFhMEUfxYkdK1CySD78l0iyOemESpG2+SHGrOScPqGf6qWa6Ohz93prquRI8hfPnUW7Fk1QuWpVLFm5BtnCs6q5f6XJ+Z/btuLIkcMY9sknSqR6RWBDhDMkkJ0itFEFNayVhMZnTPHHN3oImWRL0ccNApyxJuxqoDMpSjdDzmVSevTkGQwfORoffvQRGr/4EiW0xLSbEmCPoGixiV8kKccO/YuQ7Dlx6fQJVGn4EoLCVCEceS+EqNhTEnHlxGHkK1gIl08chi05Ca+89joKFy6qWIAQIVSQlNuZBhSUcjifPXkc3Tu0RtUatbBg2SpkCQ1l0ulB+Xz6xFF8/933+PmnmVIObTGXNsmpDeW9M7lVaY5tOZ82ybVKlmJeVZJfVV63bs8hxMYnoNsLdcWghC4XPIIJ2dq/D3PWHPgvcToqETuvqKn7fEJPPJkBnkCuq2K9l4kkNHmzl8+YiFc7daP5O9Wc2lIubbMJ1y6ex8A3XkW5ylUx5eflCM8arp6XzYmttC2WpKrXkdfJ55bXJScloWPHN7B27Vp6z2fOnMGnn36KBQsXIn/+AnSdZqIvrXgQk0323LJgQnRhkFwZ5FzZ0mdZWMTmNb1w7gx2bFiDTu8NVQIIKvm2yb4eXa5Tp9srj3bUpdPYMWEgcjxVAeXe+BDJUTeQu0IDmu9Unzub5kDVrSd9ihJVlklbZJg7m5XG6EUkiom9CVlCg/D3hLYomMtY+P6gkGhzICZZIto+CLayjn0szTYfLNJgXyPIbezC+bPo3KopKlaphjlLViJL1nCfk2PD9azewMd+WpNS7/zyPs/tA3qSbbTdX3vSarG1x+jv2+Sj/ct9vLgkRcCokSPwdpc3UbliBWVcVMZQKesL+Xzk+Ak069gDtatVwoZ5U6gyQ+zbibudk+bJHjJxBjq+3BB1K5SW1kn9PV26NfmzxXFAdtWTCTeT2ktDvtVgaBoCHhSMfL1Hw5LN2yrwQcLqcNIgaMo7N9hHnLYGnlPbiPjptxpxB598QXe40X0QIr1u3Tqs/fVXWl9atmyJFi1aIG/evAgEd+7cwYYNG6hGmlz3pZdeQp06dVCxYkVYiMWaBEKiT5w4gSNHjmD37t30e/v27en1smfP7nXe8+fPY8iQIejZsycl/Xqk1k/o2xIr1FYzgMiZidTvdB11lxO/q+OFOK4M6/0Wxsz8mc6RRvV4A6UqV8PHkxdSJYq8D8mXbXe5qQWiOpa4ce9uNMzhuZV82mSdUzdesPmyxcJsp+mIPXA7XYjYPg35XxgguruSLBkuF0ItAnb/73UUzJ01c2q0H4pvto+KHxFxm2qyixYthuXLV/gk2eSeBw8ejF69ejHpvPSENi0kWz5Ud47Ubtj4JNIROlktS8Llwvj4qORHp8lmgqIR4qRovAU3hg35GD9MHE/9tEWtthnJcfewb9t6+jnYYkaegoWQv2R5cdCQRVkCEJKrMAq/2Ju+y5C8pZDvhQ/guHsJSUdWwk2uQ0gSa7qhvH3pRZAUTC7RdMlI7iN3tPIXmnqKvIKUKJhzldaSbJlsElNakhqKChLCMH3dgw3frwd5DjKhEm+ZmVyksjSSBHpJ65VXJEnr/BB4Ujsib0fg7Y7tUaRoUSxYvBxZsoraO71E8NnnnsPRo8cUkW3aU8+pGif/vpJSRG0pb7RKplUNrl6jK2q0JQ235JtMNdtSVPFpP87F+InfYf7ChWj88itwCiY4ZVNxai4uUJJNtNA3bkfg80G9cOLwQWQrVAKVG78KhzkE8TanUuKsYnFYsqB47UbI+VQ51GnxBgqUKo9VC+cgOi4em35bjfgUm0jcXSK5EDXbonabaLanzluMf/ftxSfvD6RkRPHZlvy1yWBVpWp1lChZEus3bdE8t6B/diX4mbRU9pXfoegPL9eeu/FJyJ8jm6S9kCZfDjush/5b7QUxC/z3ZlzqJJuAlSdqNGTMd4ZHqf5cqjDrzYFDkZwomilrTMhJqpbISHzSoxMKFC6KiT8tQliYVnsnXkO9mEHvLS4ZU2yNWB/AmDGfYdiwYQgLDaGlVs0a+P67/6Fnjx40hRh7Mo2pd1o02Kx22l9RhBOq2bh+GyUSzHXUoGni/iXLVkDnAR+JslrNs2rfjmbyyjZ3E5C7ZEU8PXA87l06hkvrZiL27L/MOzB4x15diPaERlpt1XScVWGxx8m/nXic1eHB5N9O4L+ER7JySg0aGb8Xyfah/mW3+9iFLZGREej9ZgcULlIMsxYuoVYdMgHzNqPWBytjxh0mFZ/RPqrVidi2tOaefvy8/RSWZLP3oZGx6N+pkEq8E6Nn04+Tum3yH/K9atWqOHHylPbtM8oUudSuWgmr50zC7n8Po8+wsQrxledwScnJOHflBupWLqtGEJf7cFabzUQb1xBrJnWRbNajBkMzINlUTWhH0p5N+M99sx+09SvbKRkwclMAfMGgC1FWnTl9Gh+8/z66vPkmUpKT8eOPP1JNcteuXZEvbx7frp66UiB/PvTs0R0rVqzAhAkTkC1bNixZsgQdO3bEG2+8gQ4dOuD111+nWustW7agSJEimDRpEt2/c+fOyJE9u+HYQTjNqlWrqCn5zJkzDV+PT4022xfL39kxS/OK5TmuPuCvkYpU6oMBlKlUDcMmz8XZwwcw54shal+js5ZiY07smj3OWzHFnFtus2oT1EUfl9pCwtmdCM1P2hhpSrLbhRspVju+WyWNT5mRaBNtNn1w/a+VXugqd6Ag5hcd2reH2+3Gml/XIGfOnF4mDTKIGUe5cuXQqlUraQ1LqP2QbF/2Tw8KyuhiQLilTlcOfsZKUFXfbJe3NlLSiJH9atesjjvR0YiPvSsGRrMAL7/aGkf2/IXQIDNCpHLj8C7cu3ic+nGLmh8T7LG3EbV7kXJfoQUrIGe9t2G/dQT2S38huPjT/p/NEgpTFknypyj+jV8mWUs6JvedU0BYbpjzlNG+InoOM8yWIJrD2B15HNnKv4zluy/jSlQC/iskkwFEkILJSZ2TqiHTdlba5hJYbfc/OVEnRcmJSejepQNtCwuXr0b2nDnUyZHuGJIzmKTykaGkAAqoXjNWHP5MxykpFE37vbTYsuaaSdkl6AinSrKJRUYwYuIS8VaP3vCYTFj4yy/IlTc/lYgSoktILw16xvhiR9+Lx82ICLTsPRgNO3RHgtWJeIlUx6U4cS/ZgdgkqZDPyQ667l6KAwkOD56q+Sxe7TMESXYPou/exfBenamZFskNTa5h1fly12jwLL6ePIvmZp7w1ReKCbk+QBohZtNmzUZCklWNpq5EVbdIz61GF1cLE7ld8acXf4aI2DgUypVd1fpJEzL76QNwx93Bf4UTEQlUwOHTojct0NR7bRRqddIs4JfJ45FA/IqZbSlJSfi095s0UOP/5i1DePYcxiSG+aBtn1ILNRlvI+t37fqbtrUXXmisaZSVK1XG//43ET26d6N5WTUkmiGIhoWmNdMVk3Gx26yIjozAlcuXcO7MaTpx0JJvk+FSthCQtXTUUkPebjZhxcwfcO3cKQ0pNxqclXdh0L/lr1AHNbuPxp3juxF34bC3nTp7EqY3NBRuSCtEoaqcU17tZ1SyrTMn193v8l2X/tNxgQhfiZYnUJLtZw/NNz3f9knGpZKUnIR333qD1tWflqxEthw5/ZNbZcLqi4h7E15DcmpoLq41MTd8Yg2R1vphs8OU/h34vp6OTPu6P92En331+n1q1KgpCqopmIomxc5hyffzDepgwXdfYPHaTRj9/UzGFFzAL+u2oWvLFzX5sdXI4mrqLzbYmUrIpRvyZUKuNyVnPluP7YUrlhEEPmBY7U4lK0ZGILXhxZBEBsAXvOiMIGDnzp2U4M6YMYOmAibWS0RrnDMnsRSTfu+0So8ky9UCBQpQLfVXX32F1atXU5NyQpbJ52XLlmHUqFGUr8ixplJ75pCQEPzwww+4ePEi5s6dq9lO6gJZT0g4EQ4QQk9KmzZtsGzpUrrdi2wzJ2fNxzVCYc34Bq/lW/0HK2NE1XoNMeDLSdiz8VesmTnR57P46x8M95eJuKbvYoi3OQg5Kr6sthEp2CApS/44hcu3/bu6PZQ82uTm7U6n149OA0Snsy2p5zKl6T7eGzgAly9fxvY//qQSKv0p5I+kcRDfOdJYxPWBk2x9HlI5O+v9zyT9PRzzgZGUKp244ucjmyxJBFwx41U1lcrdklUeC8xCELq82Rmrli1Fj37vUa129vCs+GLKHMSm2BBqMSPEYkaVxi2we9VCVCwpp/8iisggOJPjNKNU2FO14YyPQMrZzQhypMBcpJ72UWRLdtq7mGDKmpcONKJGTqo3XpmayblNcEefoAICc1CYNOBKjV2eHJPzWYLgvkv8Is2whIRRMj9p/SlM7v0MHjTI4EEGEXofEtmmRtRSYkL5PpW2oV8GCnqM+E68zkGU/h4Bwz98D9cuX8avm7ejcJGiYrVhLPDFKYtkM0Em2RYLTfVFLBjkQVtrUeEDbIWSfgOjoGnifFfSZBuQbTYYmBiJWzYV12l6TRacPHsOHw0dji+//BI1atVRTGFlU3FCuAnhJSSPaLOJZnnlnGnoN2E2rE4BCTYnUuxuUQNNTJOIyZ1k8kQeRSEcZhMVMpF3QpZhwWaEBQWhwWtvodFrXRBsMWHqlyORI0dOtO/eF3ny5KZWIDTmgcWEl1u1xeCbNzDpqzGoUqMmXm31mlRnxRQwpJB83CNGjMCQEaPw45Tvaf2lv4z0G8mZj2ndIe2E5NO2iMI1UTAhkgtq7SG994iYBBTOnV3RaIhLDwSni6Z1ydHyHTxoEGHDkdsJ6a7ixiADpdSHSXVZmdeYxLf13KvtsHvrerTs9I4yuH438kPcun4F01dsRP7CRZTjyEuVazk9p9SkjGZvrNSe3UxKUmIivvnmG6xcscKQLVWuWIlOeLp364bRn32GZ55pqJ7Ee3fmotpJDnmWGzduUG0KmSRdOH+epqUkE8UsWbLQgJ4kdylpy8eOHaMmjF26dqXB3lRRpUDrClnKhNtDcsZLprEe4tbgISRc3N6wyavY9utydBv6hTS5kuqubuKqlavJwgJ1XdF6ryDxbgQurJ2Ju8f/Rp4qjTSvQE+qxQ/iteS+S+5nxI9SLnm1F1P2M6pr+h7J5Rbw3a/HMa2feB8PEqRfSbD612brq41WCMQwSoPt+nP4qk6k/oz6cBCuXbmCZRu2omBhaVzwh9SmNfIJjOzC2ftlhFSaG2RXKI1PexIhgOfUP4fX+/OhlWZou/ZmpVvRknTSz0o1TpDbEdEelsO5CyTLg27OYqgYEdCxZVNcu3ELn06YhjqVyqLtSw3pJH/tjj1Y9/0ohmCLx7CuEmpgM0lDLftbs8Ugd7as6dOTbPEcHiT+vQG52/bEfzFHotrsDJoue8npUtnZlAa+wIIESvvuu+9QrVo1TJ48GQULFpTPJM3r7nN0I+OaVLcCQSB7iUOWCRMnTsRHH32EAQMG0LGBjBnEvLpUqVJ4+eWXKdGWzc+JO+2sWbPQvl07GmOkVu3aTF5tpVvWkmhpfsJ02xoOZ6L7iUEDr144ixIVqtCgZgQNm7VB1K0bWD7lGxQrXxVVn2+mfS2MdUn5F9sH+C71AkKVZCdc2EsVgnQ+6ZIJtqrVdrqc+Gbxbvz0SWtkKqJNIgca/ex0EEzP7IoVm6QBs2bOxOpVq/DzL4uoKY98Cv1Zdu3aheXLl+Pnn39WJg4Ba7L9QZkNsxJNhgWmdrBedKrMBlVizX4WJWeq6Tgl1XJUSqLVVkzKVR9tkQTJExGiERC14K82bYLXOnREr/4DlcBoNy6ewYZfV6HtgOEIDbKgSMkyqPd6L9gthEiIQdJCchZAaJ6iXrOlsNLPw37nIlyRxxGcpxwQovqFks5EFm2Qjx7rPcAaD1O+8gp11r8x4lcBkposNCdMOYurF5MfhswI6fMEwRwUDLcjEdmqtYElJJSWbSejERlnRaFcchqwBwNi2SH7TsuTWvmnJD6y4rOT5/bdMDSdmo/r+K9RAn6eMwsb1q7BtLkLUaFSFeUYekf0PrzPQQbAIBJ0y49/tfcvI2+QulsqRaE2/tpNGg0T648tfqckUSbcTORtOfWVbEJNtv2x429Mnj4dCxYsRN4CJLc78ccW/YBEbbao0SZm3YRok2Bjq+fPRPexk8Wc2XY3DZxGiuz/45T9d6TOmNRtos2jbUFDtC0IC/EgzGmm1h5hQRZ0+OAznPt3F3Zu3YjazzRC/gIFEZ4lC/29PRYz3nr3PZw8ehjD3x+AsuUribEgSL/jkR5TMOHZ5xrj3wP/Ysqsn/BB/3dp25YJhNhOBAhmQq5F4QRZir7qTK5z5vePiktAgZzZRJ8+RWorLm3njiL8udaw5CDk68Hh3J1E6m8F3SDtrxs1mqvrIfeCbAsSJ9JkEgzUbvQSkhOIRlushmt/mYO/Nv6Gz6bMQekKlRmSzRA447vREEhxjXyf4sAib/vll1/Q9913aXpEVYOlRcXy5bF82VKMHDUaq1auxOjRnyFXbuk38HEPDrsNBw4coFqUE8ePU0FY8eLFUalSJVSpXAlt27RB0aJFaV3Vn4IEVNq4aTN6dHsHb3bpgjc6dVZ0xTJZEIm2Srgp0Zb9TwUTJdzlq9ZAdMQtSQMuTpYUkS35Dt/kWr+uVJMuuP7XapxbNh41Bs1AWN5iml+SEQPTvlIUIEnvn/mt9DJKzTqZbAcw7G48eAMRsSkonOfB+monUQ1e6nIVv9t8knDtF3/n/mXuj9j42xpMmr0A5StVCWxqJgROuL34M9ugmWmNPCSw68UxyceYyN6H7rb8CRf0qbg0gjnpQN9XVKXSYkYO9jhJ0Cd9JlZ0hLjQPfXzV+kgcb6mzuOG9HkLB4+dRM8R36DSkmmIvhODp6tVRDDxyyX5reWI46zWmomBoiXTqh0/S7hVQs1qtOX3omr8yGfbmcNwv9TugY8LJI89Vf3oKovfrjgApIVkB8oXyOdz585hzJgxlJQS83Bi6u27FWYM2b5/aFWVZrOZmptfunQJoaGh1Pyc9PG6i9O/oSHBeP/996npOtHYfzZmDGrWrMmM39q5qzTzFu9b3iYN9CYDUn77+lXcuHwBxctXVkh6y3f649KpY1g47hMMmVMOuYqW9H41lAf4djdQZtpKnWblW2KkceKHHXd8Iwq3HK36cjMkWy7rdp/B2O6NUTR/jsxhOk5TxzhdPrd7S7oDKOm4j3379mHEp8Px3nuDqOkFvbZBozl16hSV7pAo48HBRKKSNpJtRDTUdayYVLeOLcrL0y2Zzk/UJkoGvjKhlvyxxRReIpmWo4xTs3EpQAZrGi6uE4MkyQGVZFNymlNb8tUm2reqVavg1LGjNMBHkMWEylWr49Lp4wgyCaImL9iCxIgriDy6E6HBZgQRwh1kRq5yDeAmRJma8akmfVkrtaYmGq5L28WgHppfQiXUpjzl4Ym/KklrvTtcwRoLz5VtgD0O5lwlVGEBI0knBNsSHAJzcAjcMReQrXIrBIdmgSU4GEHBJA2SCcv3XsKDhNwWlKApevNMyURT9YVkJqVKfTVIU2NwLXWdbhYB4PCB/fhmzEj07DcQLdu000wmlGquPSSVBzPa02RcGPNNxZdSWS/nhmbThqlk28t03IBkL1/1Kxb88gsWL16CPPkKiEE2pEJItk0m2DQ1lxt7d+1EZNQd9P5qpuiLbXUqJuPyZ6JpSkxxMsWBhBQHEpMdNA0QCf5HzcppsSMmiRTpe4qDmp6XqPUs6jR/HZcuXsLIPl3w7749kim5mxL/kRMmo0ChwhjU620kJCYpAUKIkEBO//X+4ME05deWP3Yw5uPaYHGqdp+NNM78uFL/QQYPUvfESRYTtZYMOG4XUo7sfuBt4XR0olJTNEudplipUXoyG+i1mCV5/NAsWbBt9RL6/fThA/hpwlhqbdC4RRvNUUZTbCNLY+O81GovRp514+8b0LpVK+1kWlPEvjxXzpyYNnUK2rVti4EDB+Cdt7vi1zWrcfP6dcTfu0cnAufOnMGMaVPRpXMndH3rLezf9w+aN2uKJYsX0X0n//A9+r/bBy+/8AKKFytCgzGJbkNaVyEiLG3T6lWsXbOa5ncf+elwGvRFDgwn91FKED85yx4tUrpHi7hs8EITrJz1nbH5ObVuYs0IRRN3bc8gmcGbzCjy9KsIypodZ38ZCzdJOafRYOtJOiuf0/UrPiKQG5qO68zIZRN0YgWz+K8Hkz9VqWmCQINjaurZ/ZzPx2cjsslOOw7/ux8Txo5Et74D0axNO3Wb6s7rVfyaV/s0B2eP8W1q7vP8XufQ6R7SS7K9zMJ9RBbXEHHd/Rk9o3T+woWLICKKmF8zkjnDX05WlABzvvoURQvkQ6ePPsfslb+jR+uXGX9sJm+2Jo0Xkw6MJdOSj7b6YpnURhoCLipftNpu0Vc1+fCDHxdSpFhO+ukw+4ZSw/0qwwPhC06Hg1opkWxEhDOQz/llku1VQVOpIIEU+cN9ncP4TcrPVaZMGRQrVkwk2X7OQ2bYhQoVwk8//YSRI0YgOTlZMz5r+3VmvZfpuImZx4qfy1aqiltXmLm4FNC0x+iJyJW/IOaOHAC71TvlHDV13/W74e+pmolL7VqjzVaL7c5VhJd5VlRhMMSauJSx5uMupwsLNh5ERiBDiDbJme3b18LHjCpVpO04Eua+V4/uqFevHsZ9+aXPs129ehWffPIJ9VUIDycRNiUjjQDNxX1q8ySyrabgMiDbbGHOrUnbxeyrRBpnTIQ0WmzFT0c2FXd5pe+SiXYSCZ9PJKRKEDRCyrURo8m6rm92xvKlS+hEi0zSiAav+8CPAKedau9IKVmpBq7t3SSa0waZYbGY4YiPQMK5ndJERzJlJZOqsGwIq9YZgiMRntsHvN4ZJcu0kZlhKf0KhMRb8EQfF4m1FI3c47TCE38DlhKNYQov6H2wNCEzWywwB4XAc+8KBFuCqMkOJtrsYFiCLbRM+WEC1Tg/KMh5C1n/Rr0vpElPtvUBkdhOiU0DpPMZ0gjLmZKYmICP+vdGjdp1MXT0F9pJiTJxYDpzzXZf9Vs3kLAwunm63mCCqwRAY5eMybOS1subZJMAYAsXL8POXbsxZ958am5NCCrxeXYyJuMkxzVJ5ZUsmYuvXTgbYXkLi7mybS4kWF0KyaZEmyHXpCSlOBF/LwFxcUlIkIl2kuSrLftvU5JtV/24yblsTiTaXShZ62kM+HYWbt+8iYjISMQnJVMT6qAs2fDNrAW4ef0axn8xWiTaNMe2FPmZNHGTGT/8MIn6a1+6ek1rMq+xApDfk2o2zv5WdPIk/V6s+SAbeTb58C4xYu0Dwu0EGxJsbm098UOi9SQ7rcOGOkGWAp/dvomIG1cx8ZMBqFC9NnoNGc1UY23QQKNuXXOf+vzTuvL3zr/w7LPPIogEt5D7dj+Em/ThjZ9/DkuXLMakH35AbGwsJk36AcOGDUXXrm9h/vy5KF+uHObPm4vVq1Zi6JAhaFC3LkKCLFJGAHmSrebU1aRvlIvU1xOi/NW4z1G3Tm10euN13Lh2TeqjJMJNI+DLEfHVIkbWN9PPIcHBSElMwMl9f6v9ma5/Y/s4VputX1+wZmOUbt0XtthIXNs0W9PH6WdrquDWlGay7a+wWLbrEo1c+6BAIuMSQRo7KU0vfM5A/GmyiV92QgKG9O+N6rXq4uORn2umIkJq//wRaT0RTQv5lr6nSuj15FqrGGbpq+a+vbfpSDY77fLx4tTj5AwBzAGajyZUrlwZp0+fYSR1xmSbtUTMnjUMK34Ygyu3IrHvxBkUL5RPUZ7QfpyGc9YVXUYZL3Nxxkxcvw9LsNkx4VpMPH7cfRSDR4+Bk4nVktEg1mMkArS/154a2VbmP+lsTIHwBRKFvF27dihbtiwNTPbUU0/p+IKuVnqtS0dhyXa6z+GPo8jLAK4lke18+fJh6NChNPc3ew4v/Qq72kt5BM3nF199Dc81l8yyme1Zw7Oh3/gfERNxAxtmjvd+AH8Nlmno4k/B1nlVq02CL+eo9IrGVFwm2JRsM+Xnjf/CSa21M4HpuD9ttor7HV78n2HkiE/pZIWYyYlaam8QnwRiBjF79mzkz58//ebiQiA3Kfi2/xV8jY5+NCHS/YgTLEFnKi5NuChxljTaghv37sVj9eYdWL9jN4IsFiRbbahQqjjavvI8XmxYT9Qme4gJqkS+zRZUrVQBFy+cpxpz2Xy8ztMNsXLJIjzduhMl2rny5EGxKnUQbAGCiVY7yIzc5esiat+vyFG1NSXNpFDzVpMZzpv7YClaD+4b/8CUswTM2Yuor4t5N9Q/O7ww9b/1xF4UJ47ZCoqm4IVq6F6ZaFIoT6xEc/EQWlyJEchRsz2CQsJgCQlBUHAQ1Wg7Y68j4W4Edl+OxUsVxDQ7GQ2SnuHFl15S64LAflDNbcQ+TjTfJPAw25Qd5DojmWArgQZTwbdjRyEuNha/rFmvaQuk2oimeQYkB6DtJ3euXOrg7NU+DC5Gb5t5PmXGTGR4uomrzlTce6lqsxVfbcYv+9d1v2PXnj2YMWMW/U7TRhCiqqQlElMTsfmyr1y+jG5jfoDdFIREmxMJJA+2zYlkmwspdrG4SOAyqw3X/1yKpJvnkLf6y7CEZcPdw5vhcdlRpv3HuHd2L8ILlUDu0lVpJOmQYAtsxIQ82I3QYAvsTgscriDxHlwWZAkOR81XWuPKqSNYPfN/6DdiHDXfL1KqHAaNGIuJo4fi5eYt8eLLL2vHKzMQEpYFU6dMwYcffog1S3+Bifiom0j8Arf6vkj78viYzAkkT3AKcoZnUfsQDdkWU8C44+OQcuowwqvXx4OAqs0Wjd/lqkFritwt6m5do/FW1nlXeq81UvWTzcfJ52Kly2HxlG+RGHcP4xeuRlBwsGayrj+cPbdPCb0X8RbLwgUL8PXXX+mEprpJgWRdoLQTiXjlz5cH7/buZXxX9DRy/w+DdJC6a+ldPkgKPWq3R8z3LejU4XXUr1cPg94fhF69+6B5SzLZkToGKnYX74/8DaJESIyM7zGTpQndPvwU29euRFXpexDZRvK1S/7d3oWJbM6Q7hzFyiLlbgRKteqLS79ORu6KDZG9dG3FVFxdSj+n1J3IsTvkCqJ0kWzvymaCpN/9DNjSee4m2LD58E20ri+7JGUsZG22l9mlrttXbktaBkxGfGp01W0TPh+FuHuxWLB6vdIWZCLp72LKO1e/+IY/Ja7RfoxFmvyVFSIb35CvZ9VuYAm20pT0JNvfs8hNVXdO2Vxc8dNmrlWiRAncuHnDK7qM4fxPabceVCLzshcbYsmmHdj2z2G8UqeKGuxMslrU+Gaz/bnSx6sRlaVkwRrfbWUfZml3ufDLgdP48/x1FMuVDS0ql0LHWgXhvHgCwVXq4kGAaLOVMUDuCuW5oNH7Yl5bWlmEL6GuF1/QEUUSOZwEICMKOaLVFdfr+YC+shmsT/PdMrzB59MEAOVleZ9HXe1rNGTPI/bFL7zwAo12/vuGDXi1ZSutOTgj+FC6Z3bsFPTEW+zXxw3qiRFT52tdkEwmFCldFq8NHI6V341BhYYvo3iNhsxwZkajvmO8HlX9abTB/lRZlFTfY28i7uh65G3U2ysAmqLZZtZF3onHur9P4PWXauKharSJjbvLLdKEBwWfgivph9u6ZQsWzJ+Pb8aPR8mS3nb9BDExMTRJPEkeTyRTSCPJ1kZg9iUFkm+LnRQxS81uOg22X222TLJZ4q1L40W1F3IOXSfmrViHLh+NQfasoVg8/lOs+m4UNs74Cv07tcLCXzdizZY/VfNyyeScElvBg2efbYj9/+xRzAnDQoKxd/tGwGWnAdEI2a7z6htIuHaGEo4gQrZDQlCy7VCqNTZbzFIeawtdWsLzwxxeEKbsReG+vhuCi5GW6ifaJFp49iIIKlIP5qeegTl3aTGdkf53l0k2IfXkmKBg+tkdewk5arRHUFg2GgQtKCSUTirMQWaE5y2Esm0G4veTEXgQIA3077924PMxY+h7JNkP1fQ6rOZHm5dTTbcjbVPS7mg7MH9Fxt9/bMOKRQsx/POv8FSJktoxXQ+dJPLihQtSijt2Z1+f9SfRqKM05NnbXNyXqTirsRW1tXLU8X0HDmHpsuWYOnU69Usm2iE2NyP1y3aJJJuYal++cgUzxo1Anebt4bSEUXKdaHXRCS/RahOCbbW7YLO5cHP/VtiSrQh/qgZKthuJbGWfRVjR6niqzVCUfP0zeMzZaBqI2LOHcXX7MsRF3EbMzRtIphpwUSNOIpYT83JaUhySttyFwhVros+4KTiwayeNOEyCs7Xs3A31GzXG6I/eQ2xsnBSFXBQayDkoixYvgcaNG2Ph4uWSVlsKCqfxx/blYyMg8l48jTjupelws8WNhL3b8SCQ7HDh2j0ro6U2pTr58UeytYRcDqziH4Ro/71xLXoNG4tCxUroJrj+CI7619CUXXNtE6IiIug7LlqkiGH/rqRxYYWkrFZKFpQysTYUTbVkOkoslmQXH32/L/bjcu51l1ehbkMedXwoVbwYVi5fil1/78SYkZ/S8xGNtpoXHggimSfk+ASS+ThZ5gjPRgPMrZg6no4d8j5y0EA2gKBcRKseKY850wfGXzmBHCUqIle5Orj063dw25NFDTnRWMuFClGNtORsnVD7HC/Ntnfl+T9zXwFnRfW+/9zeblgalu5ORREQxO4Wu7E7ULG7A1tsRAELFEQURLq7c6ntvB3/z6mZc2bm7t4F/P7+Zz9n596ZuZMn3ud93pBetrSfzYYv/yPzcWLxRxhtuX1r7Zr/M7Yv+c7qLfFYW2nb/D9n4/uvP8eDE55Fi1atlXQ5mqgRT7IReJCD2Xh/LL+uGkFcHFckIlXArgJ+E4heLv1Gv3UZSFpfOye0dIFbShdIj2FxDsPjtZb0LHAViZVQWLg//osSVZI7RVCzqlovhvXrjpufn4iKymotdVe8SON6Si/ZBFxs19N5KXm0+Q2SfPU/rt2GK76YiZyUJHxxxRi8eNaJOKl9S2R53Khd9hf+q77g58Sc3D7lp2P11BTxOxGcKBvWaUyONV6Q55JwKER9k0mQZBLDSYBsS7xg7GhW6xtUDbghboNLpNTTqbV2iIT2IfMXMZ9/9913qTm9eK46oBaf9YC32neIEVqftx1Ubncg4CXm6Ob5fOg5l6NDv+Mx/ZVH4a9Rs0Ks/elT5Ta12zBxk+bggMTqNq3DCQaLDpXVNjLbH047eleKowbaJNiK1I7/02KyROWh+W+/bRxGjRqFq6++xvJ3xLfgmmuuof4VxD/h2JiLW/WEWN1m5BYDreZjLAFrzaxImp5MQc8oay2ZDHIT8aKiIlx853iUlpbhl7eexIUnH48UlxMx8p4iEXRs2RQfPnYnPpnyC/YVHpDybbNqRxQXnncefp4+TRG0ho48Bbs2ruHBn+xIT0nG6qkfUNNxwhY7XHY4nA4Uz/uYgloKth3EL9oBZ+POFAi7Ck4CIkFEDug56tQnJ/1XhCObNeajWI2cg+XLDu38mzKRGsCmQdDc1HS8csMcVO9agZSsbGwprsW+crP/x9GWaCiAp54YjxbNm1LLiXAoqJlnmkC1MKekoFoyrZQ0fjKbpv+zruR/bW0NHrvvDpww4mRcdMVVpmesPkCVESLLLZs3q7nkZdu8ugZ55drERUvgWkk9FQdkm9hsEXXcgUNFJZjwzLN4/8MPmf89jS7OUmQJ/2zCZDPf7CiKy8rx5vi7Mfyy62nQM2LOTf2wOaNdwxnt2qoabJj0OHxlRYhEHHA37ohQCAj6Qwj6wgjQGqLVkdkKuQMvQk6/8+CtrsW2Xz/Cis+eRnlFjQawy3l6MAK6qUk6B/XOtGwMv+Ra/PbDN5j8yUQEo8D9z79Bo1S/+ORjqq82sRTkQfNuuvkWfDd1Kmq8Ph55XX6O8eAqK4fLqpBPU3vJLIbwz47SwIKk+rdtRODgPhzrsrmoRmsxsiuE1mSkOcNWB8hWAZX+G7ZvfDNcn7cWbz58Ozr16ofRF1xO1+lAod4WzZu0oY8YdBuif3755Re46sorrQG2QYIXZt+q+bfuAqRXsp2M7ZLVkkmxysAzAdh6/A3yWY3HwczI2Tq2fxjJbhdefekF9OrVE1ePvRxlJYfZeE/MxTWTcZsyB5BggCSOB3EZ6tyrLz597mHYEdOAtRFga5UqbJkPnlybDRyD4lVz0eGi+xHx12LfrA81cK35fdPmbjT7lpu//L0OsG3S6Irt+udl20qwdX8l/otUj8pY3kCwXWcxABWTmEHnhWo8cf+dGDr8ZJx/+ZU6wLEArnWcpm7wqxOmzAw8Dvhm2xIB3An8WeTgNl2rBLDZtRjPJ/1GPob0W9MTMuET3SqgadOmOHiwDkW+DJqkB1deWUUJjY8fvY0C7ocnfq37ZseJNK5bKlmB7vgge29pJa76+jccqqrFl1ecinN7tIeDdDR+w5T527UVoaJ4CoOjTHvKn5n2OBJog0rgNuOjtCg2C0VtfXiBAEiCE0aMGIEnn3ySBYXVZHkrvGBoNZbrG1gNhJvSkY+o1HWuBmyPgVrynXnmmfjtt5nqOGZyeTQMXzb9jdgkMumMi66Av6ZGT3krzecEP1z04PPw19bgj4/UlF9VhyzkFY3FNlfNbDwGpLU/kUYbF3EKjGy2DLqj0TD9vGDVNmzceeBIXwC7n6P5MbnYMJm8yZdjCLYt2bo4B375pZeYf9ubb6l+V/ylkwitJBLsfffdh549ex6dubg86Jr6mfV6xZRQFriEEGaxzbSv4o8jg2wp4Fk0jE1bt+Oyeybgkesvwb1XnkeFIFCAHWK+mLwSgeile27Aw69OlPyz9QBrHdoVYPfuXTQQm8ireuHYa9Gpa0/KaBM/weQkN5q074qafZvhdjFf7eSMbISqDsMWDcLuJHmsWXVlNkMs7AdcyYDTg1jZNkS9JcprNTJJlq9cbgxUCCPsuRMOYjIeC8OZ0QTJLXpToM0ijZMgaE7qH16x6R806TucmvmS+td2dv5jVUhfIMIieTc3XXcNDUA0duxY1FRXSay2HtVX/izAtZLv1sBuKyy3RSUH+eCNV6hp4IQXX9ODAVkUE7jh/zZsWI9u3Uh0cgu1vvwCpPfA4w1LB9bZJXMVgbuEX7bOZBv9j8X3KOy45/4H8eKLLyItPZOZi3OQrfllCzY7RKKJhxCIApc98AySspvQqOI1FFyHKbj28eqtrkHAH0bj4y9DTr9zEA7HEPQHEQoEESJLf4DWoE+uQVptyY3R4vR7kX/C5fBW1WDn3O9RU+tHLfHz1oKrMVBPwTa5hmAEg8+4GAf27cWcGT/Bk5qJ9MwsTPv2C6xauVIH29Rfm7HaDqeLArivJn+vB0QTz0dW2WvPW39T5TW1yE5jpuOyqaCuxWWsNgHblfNm4VgWYuW0pbjGsvUZwbapHddRlOYVdz0DT9M+eosGU7npsedZQDiL3qCAfaMfmSIwcECmaPC5GXA0innz52P48OE6qDYqqQxKUhlcUzAtquZnzQNbmoKbyay2ANWczeaAW/fN5p8lIC5Yb/ClPRrG5RdfgMfGP4KbrrsOf/w2A047Ac7QwTVPUaeBbJ7m8cTRp+FE4mMXCvJ9WVR+tRImnATMZH7eIkuFAOSZLdqh/Vk30RgfJDBa0fLf4D2wVWGzhbm56qct+2DrL6NOsK28WHkckwG5DV/OO7bBMkmf8wUZg/efgW3jORXxP4YP3niVzguPv/AqG7OPhnRLtNYBvq0AshUArrda3K/Kvov9dIAdjXO+xJ9n/J3I9tTUNNTW1qfEl66cX8i/q9ZjaO8uyElPQVZ6Kj6bOQ8rtuw0xOLRc2rL/tWyybieM9sYl4OM9RH8sHILHvx5Pp4cMwQ3DekJN5l7DayfmDNqlv6NYx4ELRCWlBvWYDse+Jb2rrvUARqMeEEMBQRkkzzYl112Gc455xw+KsTqxgsmgBwHGzSkKscynKs+YNyQKmOWhPZjny+88AJqUk+frnFONM6lVnOqTa89BwzGocI92jho/E1qRiaS0zOwatYPOLR9vfZGM5sSixz2LmKGeCvyZevTL2vPwcrD8O5fz9Zpyqk4YJtblIn9PvhhHv7PgHaYUO0W7f5owLblb+OYCW7btg1vv/Um7rn3XhpF75lnnsbPP/+kvSzycO+4nUUUPPHEEw1v4EjNxQ1v1KpBGjqgzaKyY0imhHx/1ePHwlxcE9IIi60LYiRFxF3Pvokvn3sAPdu3pgCbmJATgC1ANvvMftOloAWNdDlr/iLFdFEwLV06d8aOrVsoEKQMh8OGVx+6DdGAnwdFc2D4FePQrEN3ClyFCXnjwecgFqqBw6n7TBMwHKs+APgrAFcqYHchWriYB97SG5CmgaqvjVBBjIB4F2M4y4hPeQCpnUbC6U7mjDaLNE7N2l0OtDv7Drg9LrjdxK/WjpWFFZoJ07Eo0YCPCbFcQD7rtDG45847aMTg4sOHqBm5MQq5ArxlZlsZrFRfUMloWKm7d2zHpPffwY233Y1mzVvgrZeewx8zfjFoF829SBbwSKDAtgVtpFcivwv9wjRwbRxdNcAti4tWIJsARTmtF/fF1vJl67mzP//qG/Tr3w9dunVnIJQHDguRAGg8jZdfmIyHI/jy3dewbME8pDdtzUA2T+FFlmSS95Na68XGL59CzcHdcGW3QigQRigQQjgQYgA74Eco4EPI70PYz5Yhvx9BArxpJYA7BFtSHiK2JESjDqz+4EFUlZXBSwF9iJmo+xijTUE+OX8oggvufAxdB52IjRvWIqdxE6SmpeO58fdT01IFbFMGxoazzzkXP/7yKxVUVR93/bnqShX9/ZZVe5FNfLT5eGI2o9InkcpFfyPq9x2zvrC7wkvfhwkQa/im4TOEDjzMvo9Ka7MBB3bvxC+ff4BBI09FQceu+Prtl6nrizahGwQA+bdxhQNlnX4NSxYvxnFDhvA0KfKYbxjbDeO4ni1CYqt5QEutaqy1DK4FSy1AtWCwOYAmwFoD19L6SJBW9TNZhtCjcydM/e5b/P3nHLzywnM0wwQD1zrYdjts8FCQzcA2+TzkpFHYvnYZJr/+NFwktgB3KyKMt9vJUuK5Beim6fEYYJdNzaO+amyf9ibcGXlweFKw+9d32Twkxj3NlNyi6QuwbaEQsWa2pcqDdRrLj4v3UIXcsSr+EJORrJQ6iYLtI5enYthF5oUP3sF14+5CfrMWeOfl5zDnt1+UIT72X1QraUjZliDgbgA2sTyW5Isd/xoSkzsSKSSPvS+RsVTRFMSwgADtXl3p/N4sN5sGSLvn3W8QJTl+Db7ZFGAYwLUOwFUmW6R1DIUieOin+dhdWonPLx2DNtkZBsCusuLkHLWrF1J571gVXyhM5zVx+3TZQLB9NMWIF54leOGnn6gCgriVXnrppTjttNN4f5NBcxyMYGyEyj5HCYCNDVlczFEe3vJ669xHxTaN8xohEolQV1yjTkMfx2zWcy3kSoJrujHl43cM5uWCdCLzgx0ZefnwpKRhzvvPa/NCzzOvUqGcCiOk9ybdXgyo3bcGDk+q1J/kdq9/19wvpHXfzFyCGq///whoS9HYTLL2ERxPeWkGIceqPPTgAzQX3N1330Nzwy38dyENIiRrr0jut/PPP183/4gLrBM0Fzd1Npm5EMevr8opGaJm4cx4bHlfLcKsSOMVwer1m/D4Gx9h8kuPMHNRCrBlQYuDbS6oMeAdwfgbLsVbX3zPhTw1F/fJI0bgrzl/cEabRSA/fsRorF4wh5mPu+xIS0/F3+8+CiciWgTynA79ESrbR9k4AoKJyTg1G2/aA9GKXXB3OQeOgpGIeYsRK9vOAsPwW1aiwcZ5/AKosQjjLprGK1JZCHdeWzgIyPYkw+kh0cZJEDQHaveuRs3O5Uhv3gYuzmYnuwmos2HanH9xrErMV6VFfRfvZcig/nj1pRdx7TXXYOuWLRq41qP7mlluzWwyDrtNwbaFdvCFJx6mqaOuv+1O7Nm1E8uXLMInE99WsK81E86z1hJz7EgEDmLuH7f9q2DOPHzKyEVeSrS7wXRcYWmV9FV2agL+/dRpuO32Oyno1EzGKastmYyHWV22cAEOHShE5+NORq2UJ5uAbAJ2qU92IIxdv32GvP5nwZXbloNsBrRJpFVSw34/Bdg6yPYh6PMj5PMzVtsfRICYl/vJ7yLI7DYKLU+/C4FgFIc2r0GNL0z9was40KaMNrmWYAT+SAxRpwc/ffkxxt75EJ55/wusW7kc06dMZmbjonL2hcQ+GDlyJGbP/Ut7doqJfZxBsrLGh8yUJD0IDnmf1BOFmxKSqK/cTztSW4uqFYuOWV/YWVqrTaZWYFsGF4kUHXCYf6Uoo/j2z1+ZgOxG+Rh+1oU4tHcXNqxcgmmfva+fXwJeauoRSTgw+pgZUnqJbT9On04j09KiWCDJM70Y46MWYFvP+KBX2b9aDnIpr2e+1zqTLZmQGxhshckOM5BNl7zaoyGkeFx4/ZUX0TgvF9ddNRalRYckNtsGtwDbPPMEGe89ThsGDxuB/OYtMPPziRoIp0CbM98i97zMijOWm9WUnEY0yGDBmGvQ5apnULNvE0rX/qmBbM1H2xBpXPbdFi9IG8/qANs6OLdufzX+CGav3n9M8wWzq7EdOdg+osIgzItPPIL8Jk1x7a1sXli5dBE+f//dulnhY1HrAt8NAdxHwGzrEcyl45quIaZEOj/qwl8UkUuI/3PC74hf2Pqtu9CtoAWSPS789dZ4/DDhNizdvAvfzF1ikTvbwGwLcGwIhiZAeI0viFunzMHg1k1x97C+VNaQ2XC56sHTgKjfD9/GlThWhSi62V3zu9ewLPsgY0yr70dbZLywc+cO/LtwId566y1qJn7KKafgjNNPt+hvdeEFA8qTsMOR1rg4QgbbxwZp168UiAO2Lzj/fPz043TD+GVWCipkEcwWmC63i24LhwKK8lTIvZ7kFNzy1mRc8uS7OLBlDTb//SvdZ+GnzyMSCvA+rbPa5sJHGN4/Ir5qeJp0ltLbWQBs0a8MILyqxosf56763wNtaiorUshIpS4xvL4qfpTI5PLvv//SoAZPP/Ms1SJ26NgBV151JV54gYWEX7Z0KU0yf+ONN8Yx/7C6KYvvWgMzfo4HxOubdWRhy4oBkdlr+TM3J+SCmTArLCouwX0vvoMvn3uQCdYSkI5Jlfr7aOm8GFhPTfLQ6vV6uRkjMx8n5zt+yCCau5UBQ8ZAjBxzBlq1aauZBhJBKr9tJ5RvX0uFKRJ93OG0oXLzfMSiAW467qL+066slvAUnEB9wB2ZzWHLaoPIodVALA57YKKtmM83AdcOpwc2p5uaqDvT85HR9xI4k1K4XzYB2C443U5Eg9UoWvw98vueRHN+eyibzSpRDqzauAXHotDOyM3GZSUI+d65YztM+vRjPHD/fVi0YIHJjJz5K3L/RY3xNrLe8iDE04JJ/Wb54oWYN2c2Hnj8KdoX2rZvjwsuvQKPPvWcCRqL52nse3t275YCCcqzm0U7N4yYzIxZBtX86iTWVaakdIBoNBmXmG2bHc8+9yIefvhh+t6JHMDMxmW/bBLhO4pAJIpafxBN2nXCebePp8HQfEGWR5ss/YEIAkFWK3ZvQZNhVyG5eQ+EgiGEaQ0gTAB2wI9IwIewsVLQ7UXI7+VLmeUOIkj8ztxZCIZi2PPXZBQum8vM0wm45my2qOSaAhHgmsdewezp36FDn0EYNuZMTHz1edT6/fS+mL82C4xGfLUvu+xyfDtlKn0mip+2/Iw1ZQZ7Zd5gAKlJLsZ+CAZEMydk44qc2qVqhTn13pGUcDSKg1V84pT4Z6sxvS6wLQMT7bvV5K1tZ9s2r1qCVf/MxeCRp6K85DBaFLTD6PMuxU0PPWnSrmu57SXAbQQ5RsWApjygkYcj2Lx5E7p27aL1E90iSR7rY5K1kOSmE9dMPKIGORNm4BKQFmAZpBJ2WnwOBag5N1vySoJPEmEmzCtfp30PB2AnNRLEzdddjUcfegDjbroBc2f/xphqDrIFePZwdlvUC6+5CedddQNW/z2LHouuF2DcJUA5sXpibkcMeHOTcocd7U+5CunN2iKrfW/k9jgRhXO/QIzcuwamLczG45iQM4EvDtiOq21Uy59rj02wTGquGJGCoB0h2NbJi8RhN2mBKxYvpEHQ7hn/FM0r36Zde5xz8RW474lnTfta5rqmYLThVfwurhjUEMB9JOBeTklmghd60DVx7/Iz0GGfWqznUXMhPsBpqakWL0Q/k3AZFP7We/YfRJO8bDoeiTHjxJ4dce7xffDMtzMRDAalGBt6NHGzybgcKI2t219ejeu++R3XDOqKs7u1Vc3NOUsuM9rGoGu+TatxLAppD8K6gz0F9bE01Ge7ocWEFzp0wJVXXomzzjoL1dXV1GRcvzIrvBDns1S1TBBHUa1dTcVDOVYg20AOWmmtxLMwgW1QpQSJQE6KNs7K45bRAgwGRTYljti4fv8Lb8LldpvibwjATVjtdr0HofPQ0Vg0+T1EQyGk5TVBbYl5jNYtZNWUhOK60zsNgyM5U2ezDS65RmZb24dbkcz4Z/X/HmjXqbU7UjVsA8ykiNkH8bkm/hSkEABCTD/6DxiA8rIyPPHEE3j11VdZQxCNCXXZGhiK3MCU39VXEmjgCtthYEAo260GyrEZI9BywYwAhBvHv4DX7r8Z2WkpmlkhA9k6syoH2NEGY37s7h3aYOJXP+Cep1+B3+fTzpeWkkwH+EgopPnV5TXKw67N66ngRwQvIix1P3GMxmYToE2CGKS36Q3//o0UaNMo4iIqeCSE0M65FHg7m/UHQjU0jZf+vMWjlp8z63nsGG6aF5tgsdD22TTndlJ+Jxph3OkhbDYB2k5WSYA2Wxjtz76d5uYjTDYF2W4H3PYYdi/9Ey0HnUwBzdGWWKBG8qFUwTapTRvnYfLXX9KIjd9P+U4B27IpuUMzmZHBthGAixzcegodYibepXtPjDnzHM682XHuhZegVz+ensPCfIev1gbBVStXoF/fvoaI+RYzniWlqL8ntdI7VfyuTX7ZPFiaytLasXHzVlRWV2HQ4CEcZAvwGVPBNqnhKL5691Xs2LQJcCdToO0NhTWgHQhFqOlcZeEu7P3zc5rOKxyKIEJBdhCRQACRoB+RoA+1e5ahcuV3CPuqOND2Ihyo1Zd+UnXATQB6yE/Y8BCiUSdan/0Qag4Xwu8PUYBP/DMJk04YdnI9JBo3qRGnh4Lt+bNn4oyx1+PwgUL88M1XOtAWJAOA/CZNUOv1oqK62hxUTrwABTDE4PWHkOxys3eoCGUqwBbfq1Ytp5PY0ZYDVQF6zUZQbKXtZq0mzp8CSMwgWxzDyGZPefcVFHTuhoqyEhw/6nTaF0aefQG69OprzkkvK7EMzVvTGxnW6fdhw5IlSzB48GB2VGVMl4QXqApMeRzXKlE2auOGxGhLVkjCr1oz+w6zzwxcy8Dar9Ygr+KzCWT7FQBuDwfRo1MH/PDtV/jkww9w6oiTqIKJgWwdcAuwTQJjJjkdyExLQ1ZWFt5+4GYEayopsCbbWPBMYknEwLZuWs5NyklWi7Q0+A7vxqHFP6H16KsRrCxCyepZEqNtEMJMJuQwg+14ZuQW1RjPYv6GQ3RMOdoSFJHGlfbVALAt9xftgw6365OV3n75OXTu1gOjTj+L/9SGM86/GD369KPfdYCqgxy5aoxvA6sW8MwCtDcIcDe0xsv5rU1jakovI+8ii4nG8ufvM/Ds+IcQ9McxH+W/q6qsRHZ2Vpx9jBfMxoTpfy7AecOHmPywx192GvYVl+OLPxmrrZqGG5ltnY0W5uJFVbW4c+pcPHfGUAxq2cQCYMs+3NbVu2UdC6R7lIXMwWZwXQfYVh/rURcjXiB94fjjj8ecOXM0ck6X9RME2VJJKC91QgBYgG25yGD7GGFt5XqtzhXvO/DX33/TqOyHDjGwa0mcyvOyTV+nWGmSo0fC+PLNF5lMDLFexCbiJJTNhmFX3Iaq4oPY/NePaHf8GLiSUy31pEZwLdZFSX/46z2NeBA7qmOUymJrfZHXPxauh9fn/98CbeKfHa8YzQQSrgmee97ff+Of+fPx6PjxLF+zVAJ+P6677joaYTwnO4sfs6FgWS7qm1uzdi3OvuASLFm23LBbgrOBArYFoBbrdQ3Llm3bcduDj2Hn7j2amaHKfkTw5qQpOGfE8ejetiUVyIQPdkwxOYxogY+EiThrROx83dq2xqTpv2Hbrj1Yt3mLIgz27NEdmzau1wKiEaGoqrwUO9etosFviNCV37INFQopo+2w08A2jfqegowOgxgDzUE2YbYdqblwpDdBtHQ77Kl5sGe3Q/TwGsSIoGlgr7SWRAUtEcGc5ISOIFqxF8ntTkBKuxMYk+0hNZkz2ozNLln6A6L+Chpwx80BNmOz7dgwewoVTkmbO1h99D5IMW8lbAZh2Qi2SZT2rz7/lALaCROeoM/ZYTAll4G3+C4DbjWCOauLF8zDkn//wV0PPEKDDSlgQgHWau8ygpQ1q1ejb58+bC9JGaWlmVN/TQ+wesMWnHnVOCxeuQ6xuGw2qxqoNpmMq0HRGNi2YcLTz+Lxx5+goG3z1q247647acouORBaKBKlpuMHDx3E7q2b0Lpnf/jDEY3RJiDXz5nsYDCCfX99g2ajbkUkFEM4GOZsdpAz2oy99m6fh3D1YQRK9yJCwTWvFGDXIuSXwTZjtWkAtUAYQZKTOxRD3sDzUbjwZ+xfvYCCbC8B2YLR5oCb1lAE2c1aYcpH7+Ck08/BJ2+/QgPpsDRforIc62edeSZ+nvF7HD9tidXmxR8M0javTyZCwSb59QmBKhKj5uM169ccdV8orGD+iSZwLJhgUxuMTzLWCbItQPGGpf9iw/JFOO/6O3DHM68hMztXBTkSEBPuGPGYbJ1FVNfJ36dPnUrNxkkfIfPCOeddgCXLSEYFfZw3ZouQx1ezubiasksEu5RNv7du3YbbHn4Ku3btoiCbmX8bQHbQALA1kO2Hra5KQHeEMdupbicioSCCQT8uPu9sFB/cz/20OdjWQLQdydyVaODQE3H13Y+g8lAhnIhysM1Athh7xe90VpvMGTY06tIPpesXwJOVh7xeI3Dg728QI0oFCrKld2dpQi6Z+4v95KWYR+L8GcdG4mayZGvxUfeFYIjJSEcKto1tUD+WxG3HEZrIvEBcacbd97BJRlJBjgSyLYi0I2G0N29Yi9vGXojVK5Yplska+LYE2BaAu56/ndu34skH78bePbviA2wDsFZ0YPLzUNaZZcSvPvkAu3Zux5ZNG6yMILRXQcBHo0aNDE9amku1sUFP3TVn8UoM79eDkx/CDzuKLi3yceHQ3nhx6p/wBwLaNh0wG5ltHSiUVHtx2/d/4pnTjkMbkuZRY+jk8V8C7nFq1F8L/85NONri5S4UCYPtY8hqC7zwiIQXiJscid9ETMc9Ho/hF/WDbJPJtwJa9ffM8MLF6ryQINhOyKSc161bt+KOu+5m80KC5xBtUj2PfB/y89DXvT9xIrUK+OTjj9VxSJEpzcp2u1HutNmQk9cYm9eupO3ROu0tm6fz23RAlxNPw7IfPkJKVh6qD+5WFOymoo1j7Nqj/hrYPWmSaMtzBUjzswawZbNybV0MlWUl+Grqb/87oE3NxusA2v9lIQ/1xRdfQN++fXEa8amQBDMS1OCmm27CuHHjqG82u1jtqi2OZlR/WHQa5XMMf89fALfbhT+Iz2Sdxapx6wBbF8IM28h64nw/9UcUlZRg6i8zDTlXGXCrKK/AnEXLMPb0EdznUjcJN+ZaVAG27O8TQ35uFk45fgDGnnMa+vfoKrHsMbRv1w67d+6UgJ8N3Xr2wYE9OznLzQLbbP7rJ0RDfi1nKmGWD8x+mw5q1JdaY6Pd8LQbBlejDoC3BI4WA4CQD6jYxX25efA04tvtIlHDPTyCeBJiFbsR3PwTUHMYKQWDGZNN/bGTqE82MRl3cTa7dtcyhKoPI7ttdxr8TDcZZ0xM6Z7tGHLGBZSZOVB1dECbduTaCi3XbVywHYtQRcVLzz+LDu3a4sorrkBlRbmB3ebPT/5uSg+m+nC/8+pL6Nm7D0aNOdXE0OkDnRpQzUpQ2LlrJ019V3d7lr/Z8NfCJawv/EP8exlgpj3IED1cNhU3p/Xi0bRJvmy+/rc//kSXLl3QvGUrKqB9/+23KCkuxi8/TjMx2iQgWiRmw7m33K+ZkotKIpETVilEPldVoNUZd8GRnINIOIpIOIxIKIxoKIhoWK9JHU+Bq3E3IDkbkRBhuUX1UbNysgwrANynstvBEELBMDK6jsCBRb+gaMsa6hfu5SBbDtBGwHZum47oN+I0nHjGBSgtOoypk79m96T5azPh9fTTT8eM32frz1SzFJBAtoQQw5EoDWIotLd6qguDuSHx0+YCV/nio/PTJscvrPJJoMECbMfTgMfTihsmawqSlXgG+mQ79cM30K5bLyz7axbKi4tUczWlT+igX56srfyz2X2Y+xQZS4lrUjdiNk7mhb/nwe124485c/UxVFOe6oI1BdWWbkDMXFxms9WAZoy9/nraz9Rd6PtffkMs4EMs4EXU76WuK6GaKmzatBXzFi7BT7Pm4oupv+CbH2fgx9/mYM68f7Bp0yZ4K0oR89Ug5qtm1VsNkKWfLGtgIwJJsBb2kBevP/8UHrjnTnzw3ju449abKKvHTMlVc3JhQk5Ad5fuPdCpa3e8fve1NA2LAOPCt5uBbIfKahPA7XKi47njqMKg9eirEKwuQ8mq2XrUcREUTQLYZuBtwWwrYDsOMJUandg8Z82BY2A2TszfpdPGAdvyZWjtzaBMiqcIilfef/1ldOvVByeNPlW6KPM1itUKQJWDhEkSjIVLr2Vd+u98OF1uLJr3p5pOTwLvCTHc9dRfpn6H0pJi/P7TdMvf67cs3Yu03op2sZISyaMe/+zLOO+iS9GjT1/1XRne5bJly9Cvb58EM8pEsWXnbrRp2pj2CyaziSCJDAA/cuEoHCqvxpd/r9DHamnMVkzGOYgmTDbxyZ4wZjA65GaZLJiUPNv1MNqk1m5YeQwi70uMdtwd46+v97d1lJdeYnjh9NNOp9/Ju/r0k09oqqqCggL1yAkw2ZYm4vK+0vq/5/0Dt8vF54UEMLAMhBPIXiTqt5O/Q1FxMX6YNj3OM7Qg/CyK4mYr7yJd22uvvoLbbhuH9et5JHALi0llzrSpc60MpAmGOPX8S1FdVmKy4mSysJ4m8oTLb4W3ooRao275Y4rmRil4Hfla9ZGN35fdiYzOJ+sjnPQc9GCIkqwk9tEwIhGqfPhn5VYcSWGJ4hpYCA1/rLRN9RXjfLJ2zRqqnfriy6+0tC20xGI0hdeYMWNw8skn18+Oa+pLiw5k1cF4ueWG66hwNXTIoPjdXj6GcYPoNPL5Na2KnsrrjuvGYvqMWbjojNE8pZfKirz66WTcM/Z8nmNVMNd6JFv6mfrQyx2GtEjye5t2vrzsDCqsXHT6KMYuSh26bUEB5i9crPsy2oAhw4ajC0ldFIxoHaBRm/ao2r8TriYdNYEoRhgW6qdtZ6m+XC7q0+gk94IcREq3IlK8Ffb0pogUb4CreV+NrSJXQJiacPlORCt2w9NuOOxpeUhufRVlrykI55X6ZNPqhNPjhD0WQEqjZmjS6w543E6ezosxKiQIWtG2Nbj4wefodyIkHqoK4KgKMRsnQjABjAjDZieTk/a02b1w4YXsQz5fefml6NSxIy6/7DI8/fTT6NOvP32+UfKcOYNJ9ovaSHuQ9eAkErX4bMOGdWux+N9/8N4nn9NnrjVZC4FOHwR1sKPcht+PpKQkJvzXWfjBYsC4qy+jZqZDB/ThTLbe5kXoQWUkFAy2AIl2EfhMRBt3oNrrwxtvvYPvpkzR/LKvu2Ucfv7pR4w56zwKPMNSJZHj50z7FiOuuBlVvrACtgnQJiCbmIpvn/oymo+5EzFHKgXaJJprNBxChADsUIh+JtXmyYQ9JwUxAsAFE0zuhl87TSkXccOuWY+QfIs8HYT2tm2weZxofeZ9sMf8qKmsBGyZSvsmhfkg2TBgzHk4uGk1egwYgu8mfYiLxl5D26YIRBiJ2pCWkUkVV2VV1chJTZIYbNkcSH/xJH4GmaSMUrQWcZOke+GCVJQHRqtYvBCtb7n9iLtCSW2QPnOl7TNUKq9IUFyqw1xcgG5JibRnywbKZl922wM0J3STFq0Mgc7M6UMUAcBKQWX6rX7OxYsWYsiQIdocccuN16N7l04YOnigwfVH15ir7LY+zjKh3Bijgy1tyngewR2XnYNps/7GhScPRdRXi4Wr1mPyrHnYe7CI+bM1b4ymudnISE1GRkoSIoEwSqqqsMcXwKx/lmD3wRL4giGanrF/1w4Y1LMrhvTuATfp+yRvrMsDmyuJgv2uBc3RuX1bxJxuTJv8NR5+4kksXPAPHnniKbhJ7A3+vOjQQ2JoiGeX4sGdT72M1x65C3e99gk8riQmwsmAjLhHOEkfjiISs8MVjSG7VUcULv0DrszGyO02FIcX/4jG/U/XxjbyOzK+kpFGuCeID8QKRpo9+Ghpo8+WLsnAysdSOsiamqAMfG34c+0hPHnpEXcFel9srpcGW3YJ2umZlYf2Rekm8iftm7S7vF78VpRN69dSNvu1DyfRNivEEVnisQTZ0jrEYRoT6boXXHk92nXqij4Dh/Dfs9mAih0xm2EoiEnjhHxT9Zcrrr8Vf8z8GWPOOlcB0eplqgHRtHuR95UtBAxFKGnad+yEjp07awER9W3yuBHD0qVLcemF5yugSM8cozJopF9P+Z305ePN7n18e4emuThzQFdMnLUIVw/tbfLBNpqM+wIhai5O0nd1zJNBNo9Wzh8EAxqGhxaneAnQPvcqHGkhczGZSxN9r8ZC24foO9qKxH67dq2OF8T4XVxcjF9//RXTpwtQSt6ROHCCINuqI1jhhRuvQ7duBC8MTqzziE5usZ6MYZpcZSi33XoLfvz5Z1xw/nlxrstcrAPeKj+UHrq+qnPnzujUpQtmzvwNNdXVSE1P53NkTJ8v6bNi12zj105ui/QfMo7rMYpiGHX2BVg0by56NGoMB0lrGrOxGtVBNqmNWxag/aCR2DRnKtLyW1ILXuIaprn+1NEmIkEvtYxlj0MF1XUpMJRHFwMWbSr53wFtwpb8L4rVc3v//Ylo3rw51UZpJRbDQw89RAMcXHZpQ2bHBEG29LQJa3Hy8GEJDFLmydwSYNOPMshmA3FudhZuuOwCzcRQTgWzb/9BrNu6AxNuvkwLemb079HYbeWSbPQwFDRwEJGdnoaKqhp1EOD33rxpExw6eICBbBH52mbDU7dfi3tf+1jrAAPOugJVARuqgkwLRcB2VtcTqO+y3Z3B0nA53br9GGxILhgKd4v+CBVtgX/jjwis/x42dwrd7sprD3tOG5ruJan72XAkpfNjsOMIkO2ggc+4T7bbCd/+tShbNRNdxj6JpCQnZbNpOi9eD21cht3L/ka/wcdp5oshkt7IH0ImCRx1BCVWU8aYayr9caGBPF4rsM1nCZvNgUED+uLbr77AHXffi169e+OOO++Ew0EMLlk7YaCbZDKPcQGFCwR0yQaASR+9j6bNmuOU08+k74XOZcogLfvHGBgR+R5I24tnD2dZGAJxezw4edjxEmiQpA92ZMWUXGW2CYPtUNJ7EbD98mtv4K677kJKWjqLwh2LISMrBxePvYb5ZIcZ20uBdiSGNYsX0PGIsMDElJwAa2JOLjPbNUWFcKRkweZORzgQprmjI+EIIgRch4IMbHOgrbPbIT0aJX1nHECT66Qg28WW0TDspP/RF07ujd0T2d3lcdP913w6Hl3HPoZYo3zG5PAJiVqFEEBttyG7RQGqqyqxd8c2/Dv/b6osJCDbGbUhwpVcZ599Nn6Y/jNuHHuJmc2WJhohNGuCrJg0jGwFjTquC26Bw4dRuXkTMjuT4F4NL/sqhdm4JBxZgO14woKhhcU1F1eYbL7Pb99+htz8phh62jlIoxO/QeEkM9WaBlxOD2WIjMrPpZu7qRr7X3/9BWMvv5wLfjF43C6cPPwkzlJbBbY0Rhw3pACT96EPSbI8Em5AkTBVsowdcwLe+mo65ixdjUFd2+HWM4ehY7PG+tgvCw7KQ7UzYcNmR00whFXb92LhslV47fPvkeTx4MT+PXH5WacgO6+RFtnc7mSWUCkuD9546QVM/flXXHP5JXj93YnIyctnAlSEvFGiHmRCD6ktW7bCUx98jb17diPmcCG9cXPNtJjGWqCKsihVKNHvERt1O8rrMgBrPnkCLUZcgXUf3I2qXauQ0Zb417P2ROYhCriNTZ8qOOOAbb60mpO1R2OgiQ+UebFxXwW6tozjb1tPCRH/bDEWivcgLkEBzBK0lrqJQUsrf1T6iBGbku9ff/oBmjRrjhFjGIMn1tcHsrV96Dr1QRkJrroKYbMHDD2JKY+l1GZCvtJBNhP1xTil7ZjgiTKzc3DB5VfXeX1WINsktvFzG0clBVArcrxuJSGPC4SAKistRU5ONrNCsQDYWh/nyrN/V23AQ1ecpeXv1SwSNYVoDLeOGYxTnvoEf63fjpM6tZZYbNVkPBQK455pc3HdoO4mkC3nxxYPRGf16i7h0mIE9u+Gp7kIlnpkZuMNLhLOE/OJQNqsX9dfPpDwgmheTz35JB577DGeYUU6WYNBtlGzY4EXXC6cfNIw0/q4RdaomZ4HVxhalLzcbFx3DekLhqeiDT2J9l59X23M1AQLXVlCZNNRo0bh999/xwUXXqj1Y3J5Qvkq3plNrKfya0wj7giREKXWsjH8MW0ymrVph6z8ZrqrJMcXIhUkqf3PvgLfPnQVBlx+F5xOJ8IhMu+I/hm/RYSrDsN3cDPNNCOz1jqglq14JAAuPbfIoZXYm5qH1Zv3onfnVvjPTcf/r8zGiSbqu+++w4033URNVmmJxTB+/HiaF+/WW2/le8oPSNbEHkkHitdA6wfZZj8OI8g2M9nmfNkGs/FYBA+8PBHP3XmdwpDoTJW0zpAjUY6Cqw24dd6FPgHJgI2Y3cq+xUQA3DjrW810nNScbici4i2F3emAw+VkQczcqjm4Kzkdnua9qN828Z9I7z8WGQOuQnLbofDktEJKm0FwpzeCKymNBj9wJZGaDFdSElxJHrg8LloJyEagAuVrZqHTpY/C43FSNpuA62RhNu60Y/XMyTj9xnu09DMiR2xxzZGz2rGqUkUbrZmMW5qRq59zMjPwxWcfIycrC+efdx5lqKlRsBT8jKUBM5uQl5WW4McfpuDq62+gQr4Y3FT/RQPI1swo9UK+Hjx4AE2bNjU1YfOexl1kCcRgvyMAtSXItknRs3Xf7OKSMqxfvwEjR43izJfw+2MCG0vtFWM1EqVge9/uHegz/BQmuAshPiKWjLW1uVLQePAFjMWNRGiV4xmQGtXyzOtMtRxsJlJ9GJGaw4j6Kui+FKCH9CBqzJScmZGTpfDbjsKJlqeOw5Ypr2oB0kiubZpvWzIhd6Sk46LbH0bTVgWY/On7NJI6VR6I+4rZcPqZZ+LHX2ZQSGP0czcGdHI5HIpCVAkAYgLcgtWO4Z9vJx9xX9jPgbbWWhSga07xYVWtIu3HNRfn+1SXl2HBzOl0oq6uLEdWTh5XDor95dR41t65xsm6Lt9tsn7L5s3o1q2bPteI+cPCzE9hskXEcZFH2xDgkvpmh0O8BqllUCwYoD7WsaAfc/5ZhDNvfxytG2VixrN34vFLxqBddjoiNdUIV/NaWYUQqRWkViJIanklQuUVCNJaDo/Ph8Gt8nHP6Sfg+0duxMTbL0fTNA+ufuhZ3Pv0K9izbStitVXUrNwWqIEtWAtbyIvzzzgVzzz5BG6+9mqsW7kUblsMJBQAy6FN0n8xP26yJHEpSP34qfsRqiUB0lQTchqJXIzFPAVYSmY2Wp10PrVKSm3WHocWTVfTfFkERxPtXwfeMiTi28VSfonC/DyOgHY00ccJ0DaeX66iXZmUoPKlmFwv5M+Ge+SlrKQEv077HpdcfT1cTlV53BCQLeND3b+a71tPlfc3juFq1YOXad81k/Ij+LO6nvpAtqHovV//rlRJ6aal++PrVhCz8X599X6vyaFqcFsxp6zdvB3d27ViMpQSrJZni+Gfh7RviR6t8jFxzlJFQUoUxkK2C4fCuHvqXIzp1AYntW1uUqKqkcrlwGp1m41r5uPrVx5V/uxjVcyccfxSWlyMKd99hxtuvAkuF+sLq1evRjgcxoABA6Sx+whAtmQlFg9kH9kNSvOJ6fgW602nS8xE/OhLDOeddy6mTZtKv8W3GrOa9/mcLJmGX3LDOMz4dhIH1IyEcFiA7dbd+6FRQWds/O1bLP30GW27MCPX3MLEZ9GjnR7ESCwTw6Oyui/9+UlrKUNJrFaBGfMbHn28wUCbaO2oGch/WFSRUS/fTZ5MB4arr2ZaTPIwSHTxvLw83H777ZI2W5pJ+H5HBLKPqBjMw5VGL7YbBTELkM1ZbNk0nAzEv8z5B+1aNkXnNi0M7LXMgKh54RRzRc1cQn+fwjRPeQEkb3EkSrV+2mregY4/eQz7He8saZnZOLxlNfPJJo2esHROB0qWfMeiBpKUXC7BRDOQTfJdk0oANAlsFi7ZTqOZ0+BmSam0MoCdBmdyGgfZKbzqINthD+Pw3x/DnZqKzpc/jqTUFHg8Dg1kJ1OTcScq9m7B2AlvIzMjk+d3JWwi8zMvrQ0e2ZsO+phvI2WbuM+lZnkQNgdI4981EB6LwB6L4tqrrsAHE9/FG6+/jicefww+b60OtnkEcuEjzyI2AtOmfEff42VXXiWBbHOwNEtGWxoUSdmxbRvat+8gKYNk8CDdr5FGUkC2WBqpJjPIlgG2ljvbZserb7yJO++6i/7OKJBFTGwYYbAj6HPiKOS3bs+2c5ZM7MO6RAwlq/6AK6Mxc3mhYJsAa2LyTUC2EGrC9LswA6cCSCSEyIFlLNBg9X7EqgoRDVQiUrYLIZK/PRjgYJv5b7MAabWavzYJuBYKRuBMb4aC8x9B2Y51qK2phc+Q45tEISdgu33/oRh6+nlYMu9P7NtXiABl6WOc2bfB5UlGv/798e/S5fS5qXm01T7sdDoouy9PzmqkWSvfvCgmT5t2RH2B3EdlgERZrosZMgMOyyomY82fiwNkC5BN9vln5lT63rJyG6Fzjz5mXy9pchd9RH5k8QA1W0iiN9+HpPBJTU1lJtO0Y1gINHydYkLOUyjqYwRXzonxQMsaEUaMWFSQaOIktU/Qj6LDh3Ht+Jcxa8FSTHn8Fpw3qBtivlpEamsQqa1GmADtKgKwdWBNQHWgrAJBWssRILW0DMHScgTLyLKMLkNlZUgOenF697b4/pEbcP6Qnrjr2Tfw6vufIlJdxsA2SV8Y8MIe8qF7x7b49stJePPVV/Dbz9PM/tpOfdmydWvc8OAErPrrdx1gE7cdHhhN9tcW+bab9D4RVXvWo3G/UajYuhSh6hIt+qwAy5oSRsqnbbZa0N+ZzlhaxKuQX/gxANrEbYOMVWp74meXxmQdbMcJIGQQVE3FYt3PU9m8cMFlV8YFJQmBbAERZXAt+1vXWc0+2NaB06wBtw7qE6/a74y1ASDb+GxN4EFOq6m9F328++mnn3DO2WdZWq/IAFvIBN/MnItLRg/V3fyM+1CFMPv9jSP6Y876HdhfVqmO4WQeC0fw2C8LcGLb5ji9SxsVhEtg3AiwBTFj3m6utWsNwX8TLNTK7H9kAasWGyZ/p+IF8vnZZ57B448/zsfmI8QICttp9bujqXGOI4Nty23xWeuGsNkJFX64nKxsaglFAgAalVAy0WMX87GIJC7c5rhVH5Ftu/bojWvvehBhn5fGliFVbJMZbRLPo88Zl2H/+iXwlhUhSuYkAbZFHA+R+lEaNz15rZHV68wG3aTGePPiaMriM8yYv+a/B9pWubOPZYlP/gOTJ39LfbAJsBYgm6QUuefuuy35tqPSUh0LkG253QpkG02LOODWAuawgXfTtp14+6upeOT6SxW2W2OzuTBninArBUczaruI5t0pgWkZQAWCAS0io5j4SUfp2X8Q/DVVGgB0uZzIbdmWRo+1i+q0IaOgD3z71sDhcul+1W4dbDvdJJhZClLaDCRoHKFDG+D0MJCtVwKyCdhOhTM5hbPZpJI82j7smfYMcroMRhIB0B7VXJwAbFK3zfsZO5b8hRSPiwqADGgTRpvlciVRqo/EHSJWU67mvpXYbJ3ZNkcjpyBcy5tL9omiWX5jfPbxhzjh+ONw0YUXYN3atUoQOhVwAFOnTMbJo09Bo9xGKoAwgBaN5ZaEOeU124CNmzaiU6dOegvQmq6xDUs/4gfTWG0ZbEv7aGBQW2fMnc1qRWUVtm7bjuOGDqXm8yYWhJuRy8HQtm1cj5lffayn/pIqAdj0GNEYKneuokOdYLSFybfmX61F7OfAm/ehSOEi2FKb0Gj3jia9abWnNQWScxH1liG47XfKXrPc2149SrkWGC1MWW2yJKax/lov1n/9HGp9QRYYzc+ANvlM2iCJmD5wzDn0Oc2YNoWawGvpvqjPvh3XXHMNPvz0CxOjrb0eXpLdLniDIl1XHMnUwGqTKO37Dh5EJF4KmzpKUW1AAgQC0liA2LrAdh0AW2/fMihhn+f/8gO69R+CO55+VQXkSio8ffwS/UkGMEaQLSt7FV0SgHVr10jBNuuYLIyB0CwUqrrli54/myh4CKMd44z2/CUrcdnDL+KWs4fjhWvPQxoxk/bVIOqtQZQAbc5mh6qqGZNN2WwGtCngLmOAO6AB7jIKuAnAJjVcQWo5IpVltPZrnoPJD12LdCdw7riHsWv7VhqLwkb83EI+OCJB5GWk4psvPsOCefPw8cR3lIjkAmQn0QBpDpZ68ILLMPurD7UUXx4t5RcH2SIoGnelIHm1CdgmLkOla+aaA56ZUn/pwpX8Yk1gW26USjWXDXsraJ9oaCEKamObUcCZrPhU2rJ+Hapi1GxVpv3GcG4SIGzYyNHIzsnVm6E0nicMsgXAJm5MAsg2EPjKVklWALg+wN2QGu86jgRkm8ckGXDrym6xFFZ+a9etQ6/u3S0C3qrZBgg4JhH912zejj4dWuvpVjWyhGeK4eblZP+z+nSGx+nED8s26gCaA/HX/1yOJukpOLd7O4XJpmDbwGyrAJuD7ASsFPz7diJKLGsaWALcsuN/WcS7mzL5W5wi8AJJ2zd/Pguy2qwZ7zdHA7IttEGaUruBnUVhUBtwbAugYrSiPeYgWyvs/CQX+Ucffmgak8z9BwbLNd08nAFp4MDuHfjk5acUFlsG2QJ8dxk6mhJ3GcQdKVCrgmxJeaq7nBGX2TDKVyVIIli5VQRrEA1W07tetXk3vL7Af89o/6+K/GI2b95EzT5Irmzy+EgQqYyMDNxzzz18b2NnaWgx/ubIGqhlDjydUlKFXm29ynooQJn6X4dReOAQbn/mdXzx3IPUFJoKZFIKL40hUVhui3Mp12dDZa0XWenpOhDi60ktKytHTnaO6R4J47Zry0ZNk0SEo0EXXE8bvVMSmBoPOgvpBb1gi4Uow8ZMyEXwMsJqE8CdDHdaDpJb9kZg33I4CYj2EMbaw5lrN2Ov3YTBdtKKYBVlsZNSU9Hpiglo1HUgY7E9DiR7nEihAJsx2sTscc/qhTjt2juktDLMZNwldeRqf+CI0noRe2bNv0p7F0Yzch2My+nZjMCbCN1jRp+Mrz7/HC889xw+/eQj+j6FObmoW7dsxto1q3HRJZeqgETyo9eET1NQKbN4uWjRIgwZPKiORm1mTOV2YgWwzSDbGG1cj05OlpOnfI9LLrnYIKzp7AcD0ywKtwDa82dOx8BTzlJYbhGlmwpt5HsgAFd6rhb4S05dIlt4aJEnpQHWnlUAe0ZL8107PXA07gFH62GIVhUiXFOMKGG/ZVNysgyQzwGaYzsUiCC5eU9ktO2Psu1rESD5tUmKL5ruS8/5nZHfAm06d8evU75iUdO5ibxIa9asZSvqG79p+y7A4UTM4aRKKvKZ+IMT6o+898ZZ6SiuqlGFZsuqb99aXYN2Scmo2bKtwX2h3Bsygwi5lUiKIDV6vlTrANh6jAjVhHztovnYtXkDxlw0FklJyTrrJDHYsoCsX58K2OXrjCcoiH327tmDNm2M/opW4ztfr8wBBqslLeK4BcgOBvDGl1Px8fRZ+H7COPRp1YQGQIt4axGu8SJU40Wwuhahai+CVbUIVtYgUFEDf3k1qosrsWzzXvy6bBO+mL8ab/+xFO/MXor3/1yOSX+twuwVW7Btx0HUFFXAV1IJfymrgTIG0MOVlbjqhD549aYLcduTr+GXmbOA2krObhPQ7YMHEbz1youorarEcxMeoym9aERyLQUYB95OO1LcLvhrq7Fy7gwpJ7fEZEsRyMnn7FYdkNuhL7I7DUDx6j9hc0iRx+Pk14ZxHX/hlsx2fHytFTKWbNpXiSMlI6zAtmYOLl+CBZvNd5UuMc7FSqu3b9mMjevW4KwLLtZanigaeZcgyDaBcukYxYcOYuHcP/DXb7/QLAtL//kbWzesg7e21nJ/BXAnZF5eP/BLtLJjWUs/2iM0AAH54dYJGKTf/jZzBk49ZbSWaUAG2IqCjctmcxatwPD+PfgNc/ZaBD3kqVgZyGaAOd3txJge7fHD0o1sHQfbr/25jH6+9bieKqjmIFxYcekMuAGAJ1pDYQQKdx9RLvljVupQMBnL5k0ML1zCYzaR9/TWm2/izjvvZDvIjf9IQbZSDPseUanjGFbAWma5jYD9v8LXhjJ8+HCsXbsWhw8dot9VayHdAs1uZLUNKbyIDN6xa3f4aqtxcPcOLc2tMC+nIJtaodqRmp6BdgOHo3j7OhRtWs4xiMxqM8taJl6yJcEZgZLd7LEIdyFLmTZOIQGPfaW03RHXxDVb9/3XjPZ/8waN857xGRCz8ezsbMpokxzZxBGeRBlXdtNniaMo/1ErtQDZevAb84AsC2KVlVW47pHnMXH8HVSAZgKZGJyFb48EsiW/bZE7UdeY8cJ7Q2V1LbIy0lQ7Sv6xtKwc2Tk5+s9428zNa4TK0mLNrIPU/euXYd+yPzV/OycRoFJSEK45jEN/vA2H08aDlrl4Oi5SSWouxm6ndxyGUEUhojWH6ToXTdvFQTYH2E6XA+HKfdg/6y007jcanrRkpGRmUp/sJAKuPU6kehxIIdXtRHXhdvhKDuDyx15DkselC3h2oQxgYHvVv/OwddvOhr9SktaLMFJcGULzl1uakVuAagl4G8F3Xk4WDZRWXlaGW26+mZqSC3aODExTp3yHrKxsjD5ljIHttjJxswDZsnAai6G6qopahqgKGfYDlbEm4FhRGdIFS+mlAmz6OwVkq4BbroQB+unnX3DW2efQ31FGW0onQyKPC9ZaTu01YORpaN6hGw2KFrZgtGm7tzvQ8tTbeZeQ06HwiOIWmmPyP3JwJWzpTeoUxqkA78lCeO+/CJfvpUHUtHRghOWmvtt+hIm/Ns3bHUZmt5FwpDXG/mVzqb82MyGXwHYoirNvuAsH9+7GymVLaBR1zVeb3htw5x2349V33kfMroNsWgnQ5sHY8rMzUFRZo46JikZc/yzYjc3VNeiUkorqTZsb3BfKfSwvvdLGrDIWG8x2VS13YgBbTODRcBjvP/UAUtIzMHj4aEVTbszHqYNtne1WtO8yC2pI88WHPu3zvsJCtGplCIaiTBlifNeRjZzqS3YN0oVsZlGBMDMb99fW4pZn36Y53j+9/xqkkew//lpEfF6Ea70I1foo0KZgm4LsWuzbX4zX/1iKq7+ZhZum/omZ63bgYHElUkJRdE5KQaekZLSwu5AejmLLviJM/GcVrp08Czd9MwuTF6xG0YFiFWxXVKBVigtTHr0eM+b+g+ff+QgxArYp0K6lebcd0SDGP3gvmjXJx4RHH4bTxlN/2e10KVJ/ETA9dty9KDtQqIFv3WScZYAQ6b7EHFIw/EKkN28H76Gd8B3eqYNsXrUwD/FMyGWQbQG2ExGz1u8tPyKgHc8aQpxfLKyZbTPwjrsUoMMG/DJtCjKzsnDiyNGW16WD34aB7GAggJnff4OHb7oS//z5O3bv3I4D+/eitqYakVgUtbU1+Ou3nzH1y0+wZ9d2vDz+Psz7/Ve6XZwzajLxrsu8nI//x6DK55aHQaui9X7Z2kUaB/R3o5qNk3Vff/01rrjs0jixdYT1ii7TfT3jT1x2ygl6thhJ4aYr7lXz7wv7d8bGgyXYUFhE1320YA3N1X7XiX3qBcpmcE1ilTQMbPt372hwXyDBSI9FSaSv6kO4DVO+43jhlDF0A2Gzu3fvztltC+KpISDbVOox7W5otTyWfA1W+xquR9v23xYynz788MMUk+mFx1Xh78QugW6TvCqZlhMwffODE5CVnaOludViFYl0wkRmd9jQffiZKNu7DcVbVqFy53q+zU4Dagp2W2e5Wb9Nbd0XMWKVxQfeBsBsJmdJv1i1aU/DnlNDdqYD43/AaNd1w2LCmTFjBs0l+8EHHyAUCuHRRx6x+N0xbFlG04GjPZZyTGPEWdVPmwpoHKARf9JbJ7yCx2++Au2a50sgmwtm4ruSH1sEwJBZO3oBpkdUWlmN7MwM/k0SB2w2VFRUIDMzU9tXTDCDh41A3yFDdZMOhw1tevRD0eZV3PeZAW2H04705u2R0bYPyldNpxHCHW4XD4imB0YjwDqtYADs7hT49q+hpuFOic22I4iy5VNxaO5EpDcrQJern0VWQReaN9vtcdBKGG1iJp7Ca+XezZg/6RU0bt4SSS4nE+xoJ5UZbTtqK8vx5ftvIadpswa+0hgF2hpwEwA7nhk5X8r+2ZZ+2xxskzf/n7oAAQAASURBVEiMD9x7Dy6/5BJccvHFOHzwoDYg/TZjBs0hn5zkkTSFukmbCWAbQbbWr2xYtWolevToEb/vWHZOs/UDa10cmDM6SQXZBl9tmc3+8++/MXzECBqtVmVBJDaEB0IT0Yq3b1pPc6gSEC4ikGuMNme1yXHKNi1CyerZXKgTZnI6oy37H4p+Qr8T7SUPfiH6riUbQtjtNsMRC/sNAdIE2Ca+2kEa7Zyw2sRn2+bJwIGlM1FZfIjl15YYbVLb9xsKd1IyPn71Webjpt0feQZA+05d4PMHaEonBWTbHTyqtA0FTfKweX+R2l4NDLY+HLEPO2pq0S4pBVXrNza4L5T7hJm6tamYruGOXxMF2KRlEa134c4t8CQlY8jIUynLb7cwGbcC1KKvKNdmZLGVfiStgA0HDx5Es2ZW44VxzpAEIQ3FGIJbGhntcAi+2lpc8ejLOH1wL9x9/iiaWzpKcmb7vYh6CaPNwTZltL04cKgUj838F4/PXoyuaSl4dUAPvNq3B25o2RKnZ+dgSHIauto96Gp3o7czCYM8qTg3txHuad8Wr/friYe7d4Cvyovbps7FizP/QdmhYhY8raICkcpyuPw1ePvG85HptuPqB5+Cv7KMmpHbuRm5IxrC7Tdfj/btCvDU44+ApATWGGvNnNyGtOQkXHT9OMydMomOv8LEXPbPJiy4ANtkXmnc8wRqqVG+cZEOsG0WzLbBhNwEtmEG29rwVUdZt6cCRyQjmcD1kZuRIwFWm2yZ+/tMjDjldNoX9OvRwTVviQmD7FA4jGlffoIImZMcTjz66nsYMuIU9B48FGdffi1OOf9SaqE2dPTpuPaeR3DJjbejeZt2uPi6W1FWUoySw4fw3acT8cvkL1BeUmzKm21pXh7Xn/vIq+5dHq+oijWTlUGd8ymwZdMmNMlvjOwsIivpspzRVUTIaOUVFfD6/Giem62w2YplorCUk8zAT+rQEulJbvy2fgdmb9yF9QdLcO8wFWQTV6j4ANqwTWK5E6m+Xdsankv+WDHa6hBc544CLxAZibg+ku+EzSZxnNQLxJEx2fHGeG2cP4oaj6E2nl+2mFIU6P8DdK2UGAb074eysjIU7ttn6i9Gt0a7NL/LynUR+Kxps2aY/9tP2LGexHwyB0SjgNpuQ/v+x8Odkoak9AwcWPmXwmgL6yfj/JDVYwwN0CyZQCWowgFsSVmwNe6p3fOKjbv/W6D9Xxez+Q6wd+9ebNy4kWqotm3bRkPz8ytSG6Z+pRbrjsGFNLjIalS9Y+h5FYUvtkELKuXF/uT7n9G7Y1sM6dHJAmSr2lDVZFxi6xSWkmv0eT1YUoZm+XmGxscKUWh4kjzS+MGOQTTV61csUTRNWXmN0GP0+cwEkFcCtp0uO/IHno78weeiavNcRCr3weV2wOVxcKbawQBzShJSW/eGb88KON0O+rtgyTYEy3ajZtdSpDZtg7bn3AV3sgcej4v5YHPmOoUy2WTJ1iU5Yqg9vA9XTHgbuXm5NOK47petd1ZSK8tKcNf4J1mKqYYUHwmCFpKUG8L3SUQSlgIeSf5ZevAj9p29ezlgmr4/2e+kYSfg9VdfwXXXXovVq1Zg39492LRpI8aMOdXMYpvYPHlgUwNRiPrlF1/giiuukNprfTeu2J1YoyqxjyxBKgy3uu/0H3/G+eefb/C50yPJysIYAdbk+6p//4I7OUVisVkQNAG2BZiM+Grg8KSqEqZVEWCbPoMwbEnZ0uSm76Pvrvv9ER9upDZBcNdfWnowCrhDHHBTsO1HmADxIMndDTQffjVKt6xEKBRFMBRFgLLZEfhDEYRgR8/jhmPnpvWoqvXSCORBkr6Fg23Cl9166y149+PPaOokKNUJm9OFvh0KsHLnAQa8uTm5NpwZWHzxsTQYRK7ThaoNmxLvBwCqAmHKtCs6YqOgWldV2qkaT0AAZbkNk5zZHz33CGW09+3YigHDTpZAthr0TEzo8dhsnccygB5jU5dKZUWlooCUixpQUGlg5rFfizCsB0AL+n24+vHXcOOZw3Fa/66IBXyI+n2I+HwI1fo5k63XP9fvxJ2/LsDopo3xUv9e6JOcjnB1CP4KP62+8gC8FQHUVvhRWx7QqrfcD2+ZD95SH1w1EYzOzMXrfXuiS0oarpv8B76cvxo+Yk5eVkUZbhJk7frh/XHpsP646I5HUbJ/H2LeKs5uE9Dtxy3XXoUmjfLw+ovPwWWPgXg46YCbgGkbDYTmq6rA2nmzNYAtGG8WGI1UxlqQOSSvbVek5LdC6YYFLPaHLEhZmI8zPR4Hqnzs0ZmuOMx2HfLWuj0NY7RZoFidZU6E2dbbTsJyn6ns37cX27ZswrCTrdlsY6kPZBMrp/G3Xo2klFQ4XR6MPudCJCWnJGSu3ax1G5x52dVoUdAep55/OZJS0jD9m0koKT6MHz7/CEWHDqr4wgJwN9RHOyHfbclXOxZvRtP0L9bp/kwWE4jhww8+wM033mgG1payXRRTZ8/HBSOP06wQhcwnmGzd/Fs3ASeVJKMa1r4lfl67HV8t3YDnTzuOWWZJIFsD1ASci2BpRtCsbWMAPtHq27W9QW2SKIlZbzjCIo/FFm/LpBDhnwleEDISKf/88w/1zW7UqFHdQsBRmYvrlktHU+My1FayvOKepN6H6XdHYFKuucFamdcbntH999+Hl156kf1OsfoQc7oMus0WZ/L3k8acgcnvv6EERFPANlHQejxo03sIirasQb+LxyHmr6Wm5bTSgMzchJzPGSxIswNli79i1iVEJuKVpWOVMreIz4bxObrnLy4v2bBy038ItI91IDTT/GboVeLrrFmzaPTrHTt24PXXX2fRR0XRZwm1yB3g6K7qCIoR6Ft8VzqAIQAarzv3FOKXP//F3WPP1VI+KEy2MFWWQbbsf6rcv8RjSg3qYHEZmjVuZABHbHsgEITbpWvHxaEIQ7d13WrNJ5g0fgJibZEQqvfvYKw2Z7RJ9HECmt0pycho0wPla35DyZLJsIVrECKRxkM1cBLHvlAlkvNawndoK2KBcuyd/hSqty+mGqsm/U9B414nsGBnnL1mkcWJubgDqRRsE9DtwNa507D42/cw4JSzkJOdRf3ZBZutBdzhHXbhn7+jqqwU3Xv2pia6DYmmH+VsthrlXQLbJtAsg+2INdiWJ2YJbHds3w7ffPk5Xnn5FRqVnLhNjBw5Qg/8ZADPdbGFuuBgoz51RAvZuVNH3cw10f5iQiQGDaGsMSTm5bqkq/wmHImgcP9+tG7TRmdZZUFLFsQk/+uKkmIUdOtjCoLGfLTZvuRASbnNkJRXX85DWVtMLssOe34v6V54ckhp3GFf9WdFc9MTM/JD63hebonZJpUy3QGahiUcisCdW4CU5l1QuW87QqEIAhxkk4BoxDe763EnwVdbg5KSMmp+p6T6gh39Bw7G5q3bUVnjYybkgtkmKX0cxHLEjSY5GdhfUS1NGvz6Ddbj4oOmSNu5mwK7REuZVwq6pjyfxKoA13qKDvlxq37W4VAAe7ZuwgOvfoidG9fC4XSi3/HDDOZpupWHPLFrAoDsu601VTVYYF061pqaaqSlpcVtRupn2XdbtDEpQKVwO4mEaRu56Zm3cenIwRjZqyOiAcJk+znQ9iPs1cF2bWUtnp+zFLO37MUbg/uiiycVgaoAq5WsUqBd4aegmgJtuVKg7adAW1RfmR/9PWl4a2AflJRV48ZvZmHf3sMUbFOGu7ICwzu2wOOXn4FL73kCu7dvY0A74KVm5PZIEPfecRu8NdWY8vWX1HScWA2JAGkiKvmlN92BfVvXa9HJNcAtp/riZuSEqSgYeQlq9m9HoGSfKjhJab9k5bE+7BhSfsUB26K9WpUdh6obFBCNABJxxETAdp1RxRtQ5s/9g84Lxw8bHg+hmIsRZPOmemh/Ib2ua+58AKecezEVWGVz83oPy5WcZJxOSU/D8DPOxVW33YfU9Ew0atIM77/0NDauWYW1y5egrLhIm3X+Gx9tFdAbA6MZxwK2Tp0ntfcktSk65xIlY2Ul9u7bi+7duiiAWp/vzelZf5m3CGcc30+TGzTZTYr3ogFsGXCHI+jTvDG2FJVh/MkDQZJ6mkG2NUjXwLUWJE0A9MSijpPqL9xDx6NEC4kvcrSSNH0fFt+NfUnec84fs2hfGDFihMZmM99sOdJ47AhAtqFagGyzbN+wql6D1TkNoNuIMeokGRuOhxIF27169KDy5I4d26W5XwLbNmkpAXAjo02CojVu0hQjzziPkhNyUDRjbT9wGA5vX4+Srauw8edPKIFGTcdpQE0JZFPFrJ2mGk5rPwTePcuolRStFGQb0qTyScPkx03HQMIoxLB518EGBURrENA2mo1PmvQZJr73Ho6kWHVAVQTXCwHaRLD5fNIkuJzEVl4udYHsoym2I9+unFrtDBqjQddb+GVLA/Kjr32A1+6/ib4kE5OtmSpLrDaNVmlldiJdskHKJYx2k0a5BrW+YeaRbovUjKxsPZe2pGkivpK7F/6us9kcZBPfalLTmrZE27PvRIsRV9AAad69q1D07+cIV+yF/8AG7p0L+ArXo/OVz6LgtBuRmt+cMdxuJ2PCaVRx4ZPNI4tzZvvg2kWoOrgHp91wD0/rxfJnawIcNxknfoSzpk7GlxPfRK++/XkePlCwk2iJ1ZQpPvGfTv8Nb3893ZRmTZ5slck3HrNtETyF7EeUBl9/OQlr16ylmtnUlGSuJdQBhsIMmthuOVIqExY++uhDXH755XHabR33bgDLJilRU+RI+2j762nCyHLZipUYOHCg5JenBsqhIBs6m83SfAHn3ngXdTmQU37JVTR9R3IGnCmZ9XdZeSINeRE9sFxfFxMDr6y3Ev7rbCX5s+V2AhweRMMkMJrEagtmm64j2yIIhyOIwoXdsyZRP7tAKAp/kC0J0O4w4ER6/gm3XgE/DYqm+2gToB21OXDRxRfjx99mU1Y7ZmeMNjHxZNWB4T074d8t+zRGW9yAlraC+mdHMefgYeyp9dJ2wQj9MKo3b21AIDSRHo9NTn9N+xazvvnUwkc7zp9VxHwLkL3w958w/ZN3MfKci5CZlY0V//yFrn0GID0jQ/EBU/uD2TdMFtQURoS/V3FuY9HedixGwYdFK4rDZhsUv5olAY+vQYXoEF789HsM6dYeZw7uyfNn+xmj7fMj4vUhzEG2t9KLu36Zj3YpKXioRyfYfSEEqznIrgrAT0B2ZQC+CsJm++GtJIx2ADWVetXBtgDZPvhKvfCVeREq9+Hi/Ca4rkMBNSdftH47Bdphbkreo0kmJt5xBW587EXs2LpFY7SpGXkshOeeegJz5/yBVcsW64HRNLBN8mun4Mo7HsTKuTM1gK34bMuZIZx2NOlxHH1uW6a8LAW6kfy0ZZNxxYRcf9HKO48Dtsl7rd25EKHKg0ccEI24p+inseGLSZPw/sT34oLtY1Xm/zkHfQcORnpGZsLHNjHZ3Frt2fvGIRgKon0X4lIkrIvUMTnRqlsnAW5PEo4fdRoefuVddOrRGz6fF288+TDee34CQsEg/D6vxG4fI0Zby6+tgm3RRY2KNUnEVsUlg75GrCd5mi+75OL45uJydphoFLv27UdeZgaVVxSFm+yXHYdRDgSDmLOFMWmruJ82Y68j8X2ztcjldfltx0w1Go7i910HsKeiRl9PFMF7dyXcJll6SX3+JykBP/1gYsPbfhwrI1VhpS9nz56NwUOGUKujhYsWon379mjcqJGQPvTGr43TFuviAUsj0DWBbBxd4WCb4ARzNRBo4nqNnQ51rW84NEoUbBNf7cfGj2c4xwQ3bObAaPLSLgFuGzDqrPMw96fvTaw2S8nLlp0GnECvI1hdgZrDe6j7nhYQTbF+EqDbjsyuI5FaMBB2HjiWyka06rKsorDl41+0Yhds6c0oBrPFWOrjhgREayCjrb8hcvIPJr6Pr778Ar4GsB8NLeQ8JJDB4MGDrVkEfc/4mhxjQ2tIUcxctZUyFVLPDejXoLCGmvZK8suWTI4XrVyPJnnZaNuiiVkzKlWdybbSchkIRhkU8Wsvq6xCLgmEZbzoGJCRnoHqmmrpdhl7mtuoMW5+aILWMYQ5R6vOPRD2VlHzQMIkJ7lZzlQXBds64CYRxFMbN0PLkVei3Xn3Ib1FBzTuPRKtT70ByY1ao7ZwI2PD+W8Ew0HMCkV6GDn3KvleW7QPbXv0w+k3PQAPAeWiQ3IzcRFhnNRNq5djxvdf00koOTlZ6/AE4DQstRd7ByRl1LuTf8HnP8+Gz+c3vBc14BZVJmhWDPJStW5QJ2w2yJI2UlxcjKHHH4fzzj0X69etpW1IZfBkP1W96pMRE0DXrl6NRQsX4vzzzpMipMqmrfx6Lcyl2D5WjbyuYgTerC5dtgyDBg8WXURjQzThTgPbYj0oY/bJsw9rjIUA38IvW2Nnie/wpn8RKCuUGC6bpMXUrTs0Kw9SncmIhb30IzETUrq4xUTPHhE/dmpjRIo3MeEmHKKgm1T2mefv5kKOIzkTNrsT/soKKpTQKOO8JmfloWlBBwrId23fwhQIgqEhS5LP/rjjsXjpcv6y2aQhfLXJ5w4t8rGzqMzAaMsaWmBNWSVmHjiEl7ZuQzpXYpL7qVyXuPl4mT+kHZo891nffYa/f56CYMBiXlBfv+JdYGSS9PQ5NuqztWjOTFx04518CIth48ql1F9UCbQi2rvRgoMfk55KE5zVCNBG0G2s7LdmoUMTspSiC2ZKih9T2kWmQF2yZiO27CnEtaccTwE2Y7L9CPsCCPv0ZaDGhwd+W4gxLZpgVONGCNYEaQ3UBhHwhuDzhuGlaeMiqA5FUBWOojwYxipfDf6srcBPNaWYXF2E2bUV2OD3oiQYQWUwgip/GNW+MGprQvARsF7hR2u48Mqg3vhg4XpMW7IR/goS1bwaoYoqNE924cO7rsTNE17Bts2bJDNyH5zREN594zU89/RTKCs+TBWbYgwWQc+IonT94vnYu3ENY7pFui+a8kvPrU3AdnpOHtKatqHMv7+0UI0+rrHbSjgIPeCNDLjrCYATOLwF1VvnofTfj484IBrpp5qoEIvhw/ffx9dffQmf32cJtsW8agJxdSxNCvBYDCuWLsKgoScmfJ3K7zUACkz76lNcfMOtyMjKsQbZaGDVLJQMbDNi6Hf8SXjirY9x3b2P4kDhXjx19y24/7pLsHHNSvz9+6/45M2X8M1H79Lffv3hO/jotecx59fp2Ld7J9569jF8+Opz2L1jGzatW40dWzZp+cuV69SmqvpAkFWwRj0Imp4mU2T4YK/ht99m4ozTTlPmb2GVpmQW4KTI5z/NxpWnn8TZZhHPRY/rItJLWjHTL8xegrH9uqBDXhaW7TlE82dTsBwmVZ9XjAA6GmbA2VzjrY9iVVEZft5ZiGeWrefHjNHq3Zm4+bjqnx3D5x99gO+//YriBVmxoS0txmj1DcV9dfpZYjGaRWXYsGH0nK++8gruvfdevaFbAkZDsWSyrYoMsuXdYkdXFSBvvFUzk27ar16WO1FNmX7oRMB2xw7tcfzxx+GTj9n4qSioAEtiSCeB1AjkpB7YswPb16/SvotUt5q7aqN85LZqh8NbVmHwlfdRNluQfiKOh7bklcSFqlj9I8K1JVxpy5ltu5OalguWW0wo5Fpj3iJEy3YgWrkXMW8xl3NIQLTEzceN9HDCgdDIBTz73HPwB/wUrPxXhfhk19TU4Nprr03gIrV/0jqD1qpBRWesrLdxk9J6D21onPEAlhYQI4IXP/wKE8ffrjCgLE82Y6HUCOPs93ruN0MnVZQF6pKYrRIfaatrzszMQHF5hWGyZx3iiVuvxiNvT6LtkSaSJ8FtXA6ccutjKCkpgSclmzJw4hkS9pJqVx0iIjSLAk0vUxoo01t3RU3hRgqwtc7BA6wJc0LNzJAvg1Wl+OO9p3Dp42/AQ9KAUfNwXingFt/1TkxY+XMvuUIyXUk8FQXtC1VlbPAhjLPdjhfvuJqa/ia5XdL7sMEWs7N3pKnHyJASZawuEcJtPDq2jUzM5Ig8iB3p58pbtGP79u0oKy/HVWOvQPfuPXHvA/eje/ceuO2225GckkLfEXvz5LyciJVaq2gKu3buxCOPPIyvv/qK3r9oM1q8b0VzKrXfeAN4XUWYjSttTx95V6xYicvHXhlHSNPD2AhwSQSpooMHkNukmeLXpwtYKkAnAc1oPxGCEhk8mfpUBdsSdUEH3ey23HRIv2PtcRrarJ6/14aYMwnR8h2INurMzhd2IuoIIeoM0cCGBGgTbShJEUEEmNbn3Ae43dSfjYJssiQB0CJRFHTvg51rljHfc54TnN4raXkxoFmLFig8QPwdueJAA9rkHh1o16wxBdri3oyGB+QYHdPTkU/8nTKysL+WMUqkVK1PDGiT91LpY6m9xLO44u7HEAoGaKAycR7xzi2FJ8lEU3+m+nizc8MatGzXAXc//xYNqEh60P49O1BdWY4ufQYoIFs1BdUFY31i19uf3iwNOeatmzE/mkFYiafcFftIVVZisby5TLCurfXisfe/xrePj2OpvYIBxEhqOH8AEQqwWQ16/Rg/ewmOy8/Fibl5CHmDCNWGEPIS3+4wAoEIrdRCIhLFRr8XiwKVKI6G0NLuQZ7NjWSbA1lwoTISxl+hChyOBpHtcGFkSjbae1IQDkcRCToQCxDBPQZPxINn+3THK5u24nBNLW46qa/GgjbJyMBHd12JGya8gvefvB/tOnRk7AGAnPRkvPryS7j3ztvw2VffUhPyiMOGSMyGKGEEonZcd+94fPnuq7ioW28e6NBB2zjLLGBX+ndOux4o27UR0ZAf4ZpyOFKzYSfjZVRP5cX1L/ydxphJuTb0svG2rtHKnVcAZ1oeklsQt5GGB0Sj45VI7cXP+QyRkfx+pCQns2FDmvLo+FwP+DPvQLPCKmt37diOivJy9Ok/IKHrtLx2AH6/D+eOvQ6epBT9fhTAeiQyFB+HuaiuKyHYP7IgAm6z1m3x5Lufsf5J3ndePvKbtUAwGKS/7zvkBLotMysHGdnZOOuSqygDThQCNVVV+PXHr1Fy+CAef+NDFO7ZidZt2/PHxSdFi7nQ9N1K0SYpAxWLGJsNmzdvREGbNjQoKc0mYjQT13ywWT8nFk2LVm/EY1edA4SC3DKRxd2hVfKxllN0kc8k+Jk/GMbpnVrj7617sfJAkep/LYNzLUe2sFoSqS3ZyzAuTcVmY/NCUhKOa5JHwTqzubbBt2NbAwKhqX1h/JPPIhDwIyUluW6QbfVu+IHkdyUW8q8IXiDZWgYNHIQ///wTvXr14r7ZotHFA4qWNyHtq/3Tj1Ufk31E5B55EEbgbthMDy3vJ32WLs/sjyIGn7pmOtNBpFNTuz3RobUxVRvMbMC4ceNwzjnn4uxzzkVuXh6fg2OSGwaRVtjPyLxMxxhq3cjWE9NxMj+QgJoXXXMzfpnyNdp374OwkN2jsq+2DS0698b+rWsx5NpH8O8Xr6PL+eNU1yKR5otbO5FzprToBu/OhUjvdppuQm6sAmSTa07Ohc2VCntGM0SLNlBmm2xf2YDI4wkz2lbvfMTIkTjttNPxXxainSKFaagaCLLVjfWUuiSteBsSabBSJ1SYTeNnHTCXlJcjPTUZ+bkk5ZLk/6v476ogXckBHAN2HSqFNxBUhjObhWpcmFap18u+t2rRgoIyGaSJSSYlLQ2VZSzFF2W1eURvW8iHv997Am4HmH808c+mTLYwJeeVBkojubWFLzermQXd4D20C4j4+G9YlUG2bmLImI81M77BWbc/geycPLYf9RlXWWy5fv3B2xj/wms4eczpiglLwqnrQn6aV0/3y45h5MCeOOOE/hKbHU+hYmSv1aXR9Ez+vmjxEvrsB/Trh/z8PHw5aRLVIl5wwXk0j6cmEPB3ZTQhJ8ulS5bgtnHj8NFHHyEnJ9v6uiyAgQbGNYpAbteJPTajNQWpNbW1NLUYO6QcFdvMSoj1ntRU9Btxmg6uFSZcnd9yepwEe1IKNcXVAafOaAvEpbHdorXbnSwGgtZ75Puo6xZtsGW2QsxfwYG1sTIAI1gCMmFu/PppymhTkE39sVlt3bUPDu/bjZ2bN1EAQgPBab6MTEglsSs40mAaWC3Ahw0pyW74goRt1v1FtcLfYZLDjvu7dETH9DSkCbecWAzewsKEXilh4SmLJwk9vYaciP7DRlkKRWJpswLZqr6Dv48YJr36NL1PjydJG742r1pGt3ft3VcLtqJryo3xCPRz6NXAZhuvzcBqiRIO6dHVxbNSltqz5R/khmtktrli9asZc3HNacOQnexGLMTyZzP/7ADCfgKygxRo/7JuJ5ole3BKk8YqyK4NUTbb7wvB5w/T3Owzqksxz1+OgfYMXOZqisG2bLRFKpIiDqRGnGgbS8UJ9hxcTLbZM/FHTRkmlhWitCZAGW0fNT/3w1/pQ6QqgAe7dMSB0ip89e8ahCqrEa6qQqS6Ek2Tnfjo7qtx65OvIlBVzv21A7BHQujZpSNGjRyJLz/7RGW0uQl5Xl4urrv/CRRuXssikJO5glssCVZb5NbOa98DNQd2AuEAdv/+seafrUQfN5mOG4LaSJ3ASga2Oz3IG3oDUtsMVNYXltYm1BcMzZ2edsQIISNZ+2yrbb2BbDb/TNIAkt8TNyjjdSQkUvNn8fM3n2P9CtavpNCQOshOlAizqFr0b0k3ZV3ZefOaNkX77j3RtW9/6jrUvltPtOvaA3nNmtMgmM0L2tHv6dk56NSrL2599Gk8/tbH1Bz9lUfugd/nk5S11oqCwj276f7qs6ojCJqsyLMBP//0Ey664ALLeV1xA+TWK38uXomT+nXXc2dzaxbBdmv5sw0m3hv3F2PS4nV4ZER/Cq77NM3DluIKVHr9jMkWVfbJFubh4QZW7rvtIWmbenXBsPxGfB0D64HDultFXUXMT/LYf+LwERg15jS1j2h9QoLLCSg9jWvEuiWLF9N31LtPb7zx+ut63mwFMBtAtAhEpu0gK1GN+/6XIFscuw5Wm8/bZmbbIDhZdTKr4/O6c9cu6mNtub9U6mS2EYPDZsf48eNxH7Ei4MewWTLbZgsSEU9IYIpmLVrigqtuhK+mSltH3VUlVrtV194o2bMN0YAXIW81/GUHNULNaPkkamrLnnAkZSgB0VjlWVvEd0HE2F1wtBwCe2Zr2NKbIlbDcobv3l/yHwBtLZLvEVZzUzWfQ1qKz8uXL6eCOGFJ6yymWchc6k9NJjvwHUEx3NSjTz2P4085Czt2NyznWo3Xh+yMdOlBWHS4Osra3Qdwy3vf4ca3v1OeasxiQmjdNB+79h2wBHw9e3TD2jVrlIi9Ir/dBVdeh4C3RtMsEcZi/6bVmP7CvWjWoRu2zvlB8b0TS5r6y8GBNfGb4MELaAADhx1ZbXvQa6jdt0XyyRC/498Fw+2woaa4EMPHjkPTgnbsWrgpu+Y7zjslZd5J3vDSEnTr1QdNmjThfiE6MBX+dfUV4jepmoLGEaTldQKUmwZyVeliOXDydctWrEDXLp2RQdsG0xKed845mPbDD1i6dAkuveQSTP72Gxw6eEA3F6d+dzX47ttvcdmll+DzSZ/hu+8mo1nTJtwsPJ7JuDGgnnEi4p8TnFAeffoFHD/qdOzYpZrbaKl3BOCN0/dkgSc9Iwshv19NEUHHR8mMlA/e3oPbsffHl7D/9zf4QCuicPMqBlTJ9pSSIL5yxGqLpXtOqGXQ//bcjogGaxHc8gsiVQeU96n7fXO/bmJHEGbgTU2/BbTp1oeum/ndpDinI22Aa5VFujIpeM2m3QfRkTISgvFQr0OeK73hMFIIG85LoCixSYQEb1Ms0+O9OwPYjref/IV837VlAzp076Wx46JsXrsKrTt0Qmpaun4OBUAbct9aAXBeCbssbzddpLRu3bp1PB2eVGT0oCip6Ea1xoCHX5mIIZfcgu1799NxYdbilThjcG+N3WICMxGew4iGWI0Ew/hh405c0q4VIsEIreEgSxdHguvR6PXhGGWyf/WVoiQawhmORkiDC37i3xmNoTDsx6/hYvwSLqb7+SMx+CJRpMacOM3ZCL3s6XizqhD7gkHUhKLw+iPw14aoaToB9bd1aoe52wuxbtdBhGr8CNf6EPZ60Szdg5vOPAlPv/sZYgEvEPQxZWQogBuvuRJTJn+Lc08bjbUrl2mAW6TwIqkXp33wGmpKD2uB04R5uYirQdN8tWfzgi0apgxoqKZMEp5EpHHz+zK9Jnkc015R3VxtUWViAaBInzKZxCrfpYj68UCcQTA13oiVsmrtihXo0KkL0tJFmk71B4mKM+tXLkPnnn34zYh7ku5PvtcjqbIFEg0rFMOHLz+NW88/Bfv37qL7CCM3c/Tw+gOfkRMkp6bhlPMupnm96ypbN63H0/ffjifuvlWZc8zAzyJFIK9ENh04oJ+FYlyfQ5Xc2b/+iS5tmuPUu57G4vVbdTNxHvxMAGYZPFfWePHYL//g9TNPgJvOFVH0bpxDn9HaAyU6yA6RGtXGBlMNSZ8DYYQDxu1RWslx6JKblev+3AyAB0vLGuRCYVJkWoyt8UC2Wemq7qMooPjn5cuXoUuXrpg0aRLGjh1LsYMZJKsgUQGtsfrwghXINo7xRiSTWH30qedw/OgzsGPXLksQa1QW1B2l3Gq9tF2qa9etw03j7sD1t4yzvg+jbGgFtrX9oxg4oD8GDx5EFR1K37GpFmcrli7G5eedhTXLl1pmxCHy+tb1q/Hbd1+wfNrcepZiEB5XqVW3PvS8pTs3ou2QUfCXHdblQIP7kDi/3eGEO7cVuxdJFtT31WVCzQKSN1x7o26wpTWhnw+WVPwHQPuINTTiANbKmZhF+wgQbT4ZgABs2rQJffr0wXffEdBYT9EkOvPUsnrNGhx/4kl4+tnnzL9RhoMjR9lKahfiH1pZSV9cwJ94dDpSan1+pCYnqaCmAY8/PysdDrsDfdu30Gc4GbRJALB353ZYvXELN29WgSJprI0a5aG46JDmR0GTyNtt6N1/IHZuWqf7Pzts2LNuOc3hmZqZie4jzqSRaN2yvx1nKFgYfgGueUh+CrptSGvSkqYn8hbtoWDaHiM5paNaZHMCuolARv0wEMXsd5+mabZoxEELgM18O1inJR3vUOFe3HjnfYZUWKyTJxpUP0YESQ6cZeWF4i8vwJQJhHMtHyxYbZhBLu0LRNMdAzZu2ozu3bqqOdgRo2aJT014gg1sACY88QTOO+9cXHThBbTedOMNCIdD+OD99/H+xInUSmHo0BPw9DPP8IFTNhk3+vvLgoOFFpW3/foaaHkF7wsBtS9Y5Ys1Cj6KAE3fUwTzf56saEFN75OzW+7MPESCXqQ07SCxXKrW0jjY0qkhvRmi1QfUE2v3amoRfEH2iyFWVYho8SZqth6tOqAIgkbtI/llVseBUsAeXXDMa1EAp8uF2qoqengSMChC2A/Tua2UPFFs3LMfXVo0poJc1GBWaGyf3kgEyYQd5yVQJJQMdRdfKCpBWnOxIODqLfLRWnfogotvuYffP5sXSNmzfQsKOnY1/ogJYYqAZiUk6983rluLc04ehtdfeNZyu3E2IRZWgwYNii98GQQvRYnGa0VlNT2DPxBAaXklPE6WnlAzJZUEbfF5yd5D6JKdAU/UxoVlCWxTkM18/H/1lqImGsEIew4CMVAwTUA2AdauKFO/5cFN1/mjBGjH4A1HURuJojE8OM2Vhw9qDmCLrxa+QBgBb1jzA494Q3ikd1c89ecyVFXU0AjoJKc3ye19Vv8uOHC4CEuWr6RA2xby0/HfgQgGDeiPPbt3YeXSJXDZJX9tu436al9732P4/Yv3mRWSZLWkRR6325HdvA3sZF44vBvdLn2AWhSRccsyb7axQXGgpr+KxEE2KUUViQNt2hStwLbC6kiAOx7Y5gdQt4nj2hAQfcEGmtarU9duR80XdOjWA3dfcS4+e4Ol6dFGd23c59/5vyMlXEQmCVJrqirofRGTYuEoZLZU0gF4vKpfbwwnn3UBhp96Vp33SuLMkIwFROlOn6hkMRBXEpTeq89bSy30SHBeFrzKQrkuWa5UVFai1ufD1t2FtM0vWr9ND2ZLQTYPbEZZZdbnI6EwHvxxHu49sS+y3W6NtW6TkUJloG2lFXRdwB9CiKRYFIBZAGsOntk6tt4EsMl6/hsK1CnIZpUx4sw3W4DtYHFi84KwDqwLZIuxWdvPaO2B+H1CfilEpqCuOBwvFBS0ocz2xRdfzN+N1OCklmIC2VIjX712HY4bPhpPPf9S/SDb2FilfRvSOTQZieAFgzLAVPh27fotiBkT2I6D4fLzG9Mo7f36ciWbcr/W5zaB7Zi67Zabb8LmLZvx919/KZZh8ni3dPFCJCV5sGLpEp3VJr7aktw+4PgTsXrRfLpN89GWSL9GrQrgcLpQsX8nWvc+DsnpGRQXMIsnGdzrGSooAbN7GcKVBxi5woE0I3tE4Fhr2ZCw3tHCJYj6K3CwuOLY+2hrpiBHUZgYah7AxDqijZrwxAQsWPAPffGfffYZtmzZgltvvRWLFy/G2rVr0bNnzzqOLh/RcP1Uw2ZDkJhSxvtp/U5TDSrvvvI8ZRPTUlPiH1c7pT7E5GVlYtf+Okx0TNKEet352emYMeEm1gn4fuyjGfQN6dkFE3+YifNOG6WYPFGWJxbDqaeeihm//IKx11yvgRjBGq9fthhNW7VDk/ZdaN7UMVdcj9Y9+iG3fXeUHDqMv959GiPveRWxmJ1end0WRYiMemR+IVptO/HbFtMju1QSnCC1cUt4D+/Bui+fw76FM+BOzUCLfsMwaOy9cKVnaIz21n9moMtxI5CemaVHI5QjFCppA2xYt3wxFvwxEwMGDrSORkxZbRJcrB4RhbA22jMUjCITIZhfNlnauTZb0GaiGgZD6rQnfLUF0rdj2apVeOy5V/DPoiW0L3z+4XvYsnUbRo0k6VsY6GVPjghbxA8caJrfGJddejFlri2pDH5eArxYXwhaKmF0oG8A2Yrix6DJtBl7t9rT333lOdT6AkhLT1d6AgGOTEA1ADXt8oWPj9B42iiLWVNZoQ/OIuiFNBgLE1ISaC+jXT80HnwBFUaMg6eWR1EA76hd88txJGVxtlPWR+pXKRhpvX/x7dEI7JktYU/KgjObpBbjz136pbxMbdrWspkRf+QmrdqibdceePHhO/H7D98iKzsbp5x2Bl544UXYk93sjKYAWyQ0eQSrtu/D1cf35GljeKX7mudxwmwmSZG0I7VehGu9cNKxq25Gm74rMddadB1tVQJDq6b35MspE19Du249MePrT7F++SI4HE488PJ72LdjG/oPPUn5pQkcK2xHHDabxFigacN0P/O6rmv+vHm4cuwVZoFDYQJkwUd+Bmz7exPuoX6lqS47Fixbg94dWkvZI+QgSCK4UQRrD5ZiYONcJgTLAjQx3Q9FqW81cTfYFPbiSndTCrCDUT0lXDgGuGDH6cinVxKSri1MgpWRYPvRGFIcTlzkysc33sO40eFEy6gHDnKfTpIexYYMZxLGdizAW/NW4uHThsDhdiJKqwsvXX8Bxr70CWb06k5ZA6IwJeP5sxMeQ0lZObp26cLHaFCgHSbm4jGgQ+euuPr+x1FZUwu3O4X6aLudMXo/LMVXFG6XC+n5rei8sPGbF7B/8Uw4k9OR0+14tDr1FtidydKYI/U0TRiWemA8kB1n+q8NhFHrDyM1yVk/oy2uQnZfNLZr0RSUjiMLSOwDd4ul84a40tUrluPFZ57EkoULKFB84/1PsGPbFgwdPtJw+ezY8uHrKkSJR3yzSV8IEfcF7TlZyH3ys2xAkeV+OnLagDuefBl+rxfJqamKTC8fX3t2ZG6Nd2yprxNl/1tPPUzTk5HsBMpxJKD9/rc/mrIQGEG2ldkr+bd69Wr079ePn1yOa0IUj9J37u7381+LcPawgbhw2AAM7twGA9o1RywS0v2zI6pijViwPPLTPAxs0Rj9mpJ+H+bbo7BHYmiTmYbtZVV4ZP5K/LijEJluF05q2hj3dOuIVJKOTfPT5taomp+28N1Wb1RJkye5Y9A2xOOsEBmFzAkk9aOjnrhMJHBnXSBbLpbPXnoB8d7PyhXL8dQEHS98SvDC5s3IycnB9OnTWfwZ9oL0pcTSmtN56Z+JEovKSMSXvj6QbSoWIDeBQmWkWi/S0lL16xGDgCJjidPw92M8u6X/tgQEDCW/USP89uMP5u3ifMaf8MGNdUl5oNPPY7fZ8eYbr+OCCy+iUd+bt2hpcOOK4eZxd2DgoCHo2W+Adqwo8dXm/ttEriOKrNsee5bKnwrI5nKe2+lETos2KN+/C/Pfn4DNf/1E8UJ+rxPR7uxxsDmSdM86CXAnNW6HYOkuJGc2NzDYHGTL5uNELqJ9hj0Pe+NuiBxcgeqk4ajx+pGWQkjRYxgM7ZgU43vjD5/4al45dizS0tLx/Asv0miOd911F0pLS9Gpc2fccMMN1BTk448/RvPmzfXGJV50PaVvn974a85smuj8f1XIS6OdRlyfftEMkHEAxgYxXfrLz8tFemoqNu/ej86tm7IXHZMradikIejTEQmkZQqIRvP/ytGVuXAh+Qd2bt0M23bvQyQcgtPp1lhZEjnTZo/izFPH4KLLx+Kqa6/nzDBjtJ0xG668+Q589fFEXPPABIQcNiR7POjUewC8wQhymzRFs47dsXfJbLQaNJoDbXIpDLhogZ3sLLCTaBWk86Q3aY2KnetQVbgdXc68lgKsLbO/peajJ93wCAXZUX8Nuh4/EqmpKYqpuIhKKDoqCa4g/Du+/+wDPPrCa5YpsARQI9dFmPW6CjGPpEIVB9v0XRKMTN+TUMELAMwmNzWtG3s3VHzin+V3Vuv14vIbbqNR9l966nHMmD0Hd973EErLytCpQwf+e6IIYQoMLeKPMg7H04ICfXv3wl9//I4kt1sP2EL2F/m+DUBbi5osK2qkSUYocOjQa5Q0ebvX+oJ6QWjTujX27N6NVm1I8DELTTaf6IUGk+Vtt+PWp16XBl5JC2oIhEEE/jan34ZgMCyZmgp/HFaJKWpU+x5h+5BgTDUHqPm4vUlv7ZFK3Uh7yprJsRAQPemwJ2XC7klnqbaMZup08Bb9P4ID8yejSZfekkUGzwNJ+kJWDtYt+RfFBwtxw533UdZv0gfvIT0lGRdfeD769+4l+QISfz/CiDIT5K37D6N9fjY18dXZawkESm0kEI0iWzIdp+sOF8PZtnWdfYGkHtOLCHkUp/C4RFaSOwuyImEPHs0vu3E+3nn8XmTnNcZ1D0zAsr9n492nHkJVRRlatu0Q/0RiQpdcdOWtYsLv2bsPpv72B5KT+ISsMOIyeLdh+7ZtNLBOJkknJvcBw2fahzTgLfcbIeABaclJ1B+bLGksDS1IH28nDqna7Wibk4G9JZXon5HB+5Ppdmkh/Jp4xMbcx0wtxJ+1pNgilxbhD5+Ac4/NjjNcjTCp5hDusbeg1kcIRGD3heFwh3Bcbjam7dqLPYfK0NbjhsPjhs3jR0Z6Ekb164YfZs7BReecDpvTTQMLkiwQr7/8Iq64+lrqp2kVN+Pgzm2YPX0Kzr9zvDKei8A3NIBls9Yo28HmhYxWXZDaoiMOL58Fm8ONVqeN449ZsKESsFAYbf5MtLErsTZ6uNKHtknMTSFRGckItk2NkAcJswTbNAovyzIAzvQQpf2t112F1LQ0jH/6efw5ayYef+AeGvyJBqKTZGP9netjqVAEWF0PsRJav2IJ3pkyEy6PW9YRKcdSwPfRiISSZi4pJdXyUEaVLTureW62mq2JQq6qvAxZWTnaczG6ldR7nDh9jBQC6Lp27WLIwGFkKXUF6OyFy/HanVfBZbPhuC5tWeo+nqKVpffjbiJ8+eSMBejaKBsXdWtHQbdi4RKKoiA9FasOlWJrZQ1u6NSWyi3f7NwLVxS4r1MHDqyjZrAtXy+fl+mSznkcbIvhjM69RD7VuQIyH4dKS+Bo0RJ1FUGg0NNYjL/KJ2m7DKjl8dcIsr3eWlx9pYQXZs7E3XfdhbKyMooT2rXjymsJWMvvqL6c2X1796SR7z0edwIg29B6teMmqOWS7istTVZsc3BnAttxtmvHYbFfTEHV6uGPTCXe7+T2w8G1dpva4BKllpZvv/kmbr9tHL6b8j1cboK99AdCAhcPHHKcllGFwhUx9/Jxk8h9GZlZmP3DVzj5grGa+bgs7zdq0RYHNq1C8e6tyGvbFVkFXbFrwQzA4UbBOXfosXdskizaph9Cfh9XLKnyoJxfW3wXMju9XU8G7Hld6LoDxRXo2JqZkh8T03ECio62WB6Bt8Xnnn0WRUVFmPzdd7jlllvwzjvvorycpdXo0KEDjWD39ttv46abbkJ1dbV6jLocBKXyvwTZ8YumQuRV8qbVhHA77r76Irz+1TQaRZi+aElIp4OjJJSJSMN0X0lgMydh5wOKzHxFozihb3csWLaK53HWKxEYk5PcFAxt37pZypvNzP9atWqFcQ89jtrKMs2nTvbJHnrhdWjVrS/11ZPzo1LfOynQjTAZFP7bafktUH1gFxp37ode59+Evhfdgn4X3YpNf3yPku3rKNif9c4T8FeWwuNyqWw2990QSgEBvIkf7FNvTkSjvDydxZZSCgiwnUg7Zz7asl2bMRgdB57G9F7a4Cyv04GPAKxPv/wmDpeU4PvPP8C466/CxNdeRFkFM1Pp2L6twqDb4gZXMzCchhRxLDp6xJCv2xCIzbhOOYbI96iy3vJ3fnPxniL937t3L6xatUrrGvFADntXzJyIgOiNyxdix+plEpNtHoAF2C5ZPQu1u1ayiMhSjRdtUus3ac0R85YAQRIkRB5huJDOFQGyRpwqvAI1sLtT9cFaZtG51lREtQxVlcCTla+ktdCBBhOASg4fQN8hQzHu/kdw78OP4cFHHsMnH39E3WmGDhkIG7FQECA7EqKuFNU1tUjhEfApgyElJ5cDG4kSjEbhNuSG9idgJkgi7cMkHFn/WY7R4rLkaPHa+hi2b1gLb3U1Hn7rM5xx+XW4/clXUF3J+kKLgnZxr0sf8sxm43XPC6rUp00tNuCzTz7B9ddfb+hr7Op1RZpBIWXqC3yy5iU1JYlqxblphgFkEyUQ+9whLxM7q2rUwC5CUOaFCCuyqkS0TFVe0p+HfFXEfZ8w39SkPBJDatSJbvZUTK8tgY9EMQ9GaGRzEnyN1Fu7dcCr81dqEdFJdHSSjuzGU4fio6kzEKipooHLbJEgDYyWnZGKk046CTN/+VEKZqPXjt16YP+urbTtmvsB68vp+S3pvJDbsS86XXg32pxyDVqPvhaHl/6Cmr2btGBbSlBEDXDr602sjVzjSBLFCfhpa6bjBkbU6pgya2dpRs7HQD3KNfDqi8+jpLgIn3z1La698Wa88PrbqKhgMlK7dh0U9k9u+5KMqZjYG4FpOBymbLARO1qBbE1vdKRV8r0mToLG+BQmjKKtU/+kS1RKz/6DKOOvYDmTIs1Y1DUmxa/0noiJcpdOnaQLM8Y50ccHYi1TWV2DvIw0bioeVitnq4W5+GcL1iDZbqcgm4LvIK/EPJz6V4fQIiUZO6pq0T83G9cXtMYNbVrjxrZtMHXffqwuKkOY9FWfqCFtGfCF4fWFUO0NambkciA0NUVYzGIZQ7CsFPUVIkfFU3LSZRzlpwyoZWQtg2zy2xeee47ihW8FXnj3XUrKkXL55Zfp5uK0gVgRA1LLMZp38e0Jg2ytQ8gKbPkcDagmDZaF+ZlVRzGsU0zK6QfZraHe16efmx7HSqaT1nM5UG//ekradu0KKEn6yMMPGQKV6pakIr+2wnhLZt95jfKxeO5shVgR+bbJ3JDTvDVK9u5Ai+4DcNJtz6LXeTejyzk3Yt+C6ajes0F33RHzJQHrSSmoXD9Tlc80OVDHVUxm5BhMzA+EcU9rguj+xThYVP7/mY+2OI5F9fv8eO/dd3D3PfegoC3TRBEQd8YZZ9LPbsK8AdQEgUS0u+qqq3jubmkYrBNnN1SVc4Q3Vm9RhgvOADKAHRPOAxwgd21fgFAkgtVbd2npepRcuTY9Zy7bJm03mj7QKl8r7wzcXPHCUSfg+5l/aoBMACxRrxp7Ob78fJIGaKjpOI80XllSjLceu5f53BnAdkpyEjKzs/H7y3ch4q1UfO/0gDfEPIQBbBEtPFBeTK+r7xX3UB9vsq3naZcip2U7rPrpc2xb8Buatu+K/JYFEgPIWU0pKqEGXkgqugdupwG0VNMTXZgRVdbExn3VARKFlmuHDeBTmN0b15mEb+PAybeTvvDWx5/jvnE3on1rFrChdYvmOOvUU+jubpKKTRn42ACn5+eOo1UX79MEqJlCpa5o58YgeSZAbWTAZbBBByZ5ElOlrX59+mDlyhWMuTYKNJq1gQiOoQfja966LdYumMMsFgwMmObzz7/ndBqMiq2LOPCWwYyDMc40h6KTf5e1mXY4mg9CjJjiRQKa5T+9QmVI0aW5SOkmxAIVUh+Ugbw8qLNrcWfkoOWwC7UUdjTWgJQD3ltdSRU2dz32DAMeAG646SZ06dIFv/46A4P69oItJuVq5cLbmu170KegmSmWgLZUBAvGaHsE0OY3Rxjt+gphtE0AwaLKwr6lhlwW4nkN+v3466cpOOnsC9G0JWPWGzdviSEjx9DPThebF4xFBjfxRn5bglXs6/N6sWnTRvTt00cTunRWW7oRqe8pVizyNqlv5GSkoay6VpsH5PbJQDazuGiRlY6dlTW0IxCLGyPYFgEr/WIcUFumRdHNnKlfLAfbIQ62fdEYutjSUBgJYE/AT4F2yB9G2EdqCAUkAnw0hi37iyjIjvhY3m93NIwbTh+GNz+fQl4gbCEGtm2RMG6+7hp89cXncNhi1HzcyGqPvfNh2n6NjLYwE/SVFdF5oduFd9A2HvbXoslx5yC5UWscXPi9DqyVKgC2lNZIV5WZ33ecxnM4AT9tE6Nt0R5NbbA+sM3nqYDfj4/efxe33nk3CgqY9U/LVq0x+lSW9cXlcSm/g6X7hPV1kRUElN7ztO6PyuRx6X4SAdmxo/PXNoFoqWtZnaMumatTj95Iy8yyUDCp6M3KNNzUZ+SBgF/Nnj170KZNG+PVGYAJmztXbtqKvp3b8eBn+litmoszJnvZzv1YvOsA7hzSQwPZBHwTVpvUMAfbB6u9VLF2Z4d2NF4DAdbn5uWjTXIKvtlbSL97vSEsKCrBxN178PC2zXho+xZM2LkVz+3ejpf27sT92zbh+4MHUE6UZGHmh02VUlqUcfbdCLaDJfUDbZLTPO5jjNMfVEBtzgoh2jfxYRZ4oR3HC2VlpcjLy6OfPRQvWIBobQyuH2TLwLdekG1qiPHWJ1isfhavwcvzi+E6GcIQBEicuSjRGu93VoBbWkfOe+YZp1PL02nTpipWpHKQNKFQFKQX/UwJFsDpcKBD1x4IBf2W5uNVJQdpvzrx2geQkpmNg2sXoMPIi5DWtAD7/v5OIxt1uZJ9D5UXIkaUwfFSfGlgW5fdZA2dLaURlq1c/f8L0E5Ai0N85MJhtClgnUacqf+AAXC5XGjfvoO2ftDgwdRn+5Zbb6Wd2fKqFHWxaZQ8hqUh2iFxGVYSqMRuS/lwX7zvFjzy5idUAFJAtQYQOMAWidY1wC1XKY2R/Aw0oTuK9i2bYlfhQYSDAW5KzCcDXvv17o3NmzYh6PeZTPqIQqR7n/5YPPsXhbFOcjpoeq/09HSMuuEBLPj4OQ60WfoWLXWLxnQzwE3WtR5I/JCBTJKuSxzT5URm42aIhoPoMOAEnHjJ9RToCwbbaEYspwkoOlBIGzoZiNk2NeWVBu4StNygkXVlDZ8GYnS/LC3XOU/FprLb+gCpD+L8O+8LbQnIlvpI/769aV/oSCcWo5ZRH9RogCC5KkwzA9bivTImlJsdS+x2PBZbCcJmBOGWgzDvI6alPml06dwJmzdvlgRMPZI4Vz5Kpv36O23XtTtSib++XbaM4FVbZ6Op4VLymiK3+zAKUGilShmmqSQAm4FsF+yiEt9Sp5NpMpMy6X1Hd8+l7LbZ14yZZNI7o6xyCI5m/Vl/1I4twLyDAyh+DQ4bDv87BSk5+ZJlB7PuIEsSCHD0BcwfuHHjfN2axGFH06ZN6bVQywQtZyuLYkve2dpdhejeqokarE9b6lKr+ByIRJAkm46ToCzFJQkx2gmDVsPkWt+QTNpCJBzG4X17cHAvicTKSqeefWgAlLoYbfUN1cViiT2M+6rRoUk0fxLVX80QICuYmO+7VRuX+7sAe2JDdkYayqtqlDlBU9AQkO10wE7SIRIzuxaNsLy8AnaXEw63g1WSIpFH5ibjZCdnKrZGvXAShShXSsmTPG+pEvxg/8UTIJdGBHiayzoGnOzMxTRfMYKhKELBKGXBiLBPBPmrOrTBh0s2IOwPspzffj+19jl3cA+aL3jf3r3URBYcbKcmudGnVy8abZYFq+RuSDzmR6uC9ljyxy+aclQTunhtOYDNC56MXFRsX41gdRkNOOjJbsLbvyoj66Bbfgdc5NBethUCVk1WSSmqJIr9usuHH34YN7NJXHBRD9gWueHJMyHzAgXZmpIY6NNvAA2YSBhtjRlS2rvcjo1RzSWhlrhWffq+6dp0YG1hcWJUavBI4olUOegjnTKNQJ0rgMQ7NfSoessfP/2APdu3JrBnnEHBYp3cVIipPVHwq1oHg4KbywH/rlyP43t11tz1dHNxbjJOQXYEFTVevDBrMZ4eNYiBbw6y6VKqpA8Oy8ul15EZs9O+SMB2LBBBY6cLhwN+TNi+FU/s3Ip9tT6clJKJ8Y3a4Mn8AjyWX4BHGrfBI/lt8HTz9mjscOP53Tsxu7hISePFALb8XZihRxGsLwOQiIlkpbSU2rr4LrdJbZtBbFdFei4jcbxw6NBBPPLII5Q5JTJSh/bt44BoCTT/JyDbAsiTc2oyWPyqHENcj1GWsgS/8nyCOq6N30tcxUBdANvi3HI7NwJuQ8piWyyGJx5/HJ9+8gmqq6vMykQpe4wCvIW7oB248rZ74aupNrh6snGw+9DR9BLTcvLgSUnF3qV/UlkrObcpi5cjoJbmp82W6R1PRKjqgKbctscF2wbWm1sh27LboaTcYF199KbjOOJiGoMMA6qbCIuEQSETtfSb0tISLlAKP15WRp58MjVDI+y2dZHe2P8EbEuAqaFFk0DtlDnTGGu7HfmN8nDlOafi+U+/Yy/boYNqsgRn4WSmWwhoKtBWNTH6pccU8/H5S1dKQjtnOwkYi0Vwwfnn4cdpP2gm2ZSRsDFgcOWNt2HISSOpqSABzCKtV5KL1VYdu+GMe55D+e7NsEdDSi5sDRxJwDsjjwfsqSpjwINvCwf8OLx9A2LhIPUvFky2ruESjCdfx9N3EaB04133Kebkssm4LFQnolCK+Xm+QS0HuQRmtNzaVibbfL0irPM2xNd5XCxsAonCKoNe4nvUrEk+a9YWA5si+JvWxQPNHHhz6wYNeFuy2EZwHTXcizTgWigQ9IlK3C+7D5IfmYBeMnHqmkxROVMnmfiLd0wA9klnX4yKov08BRCLRC+ngGPuCIzdTslvhaptizjYFmw2V1gJYE2XrBLgzQZVG2zOVDhaj0C0dAui0RDVgqrdKIzI4XWI1ZbA0aQ3H7DJwM1AtgbmKdjmpusEZcRCqD24DS43cX/QrTwE2N63eR12b1pHz1FRWkT7G73/WBQHDxxgKdrk/so/kza4fvd+9GiZrwvE+lAlAW/xKgiDGaXmijKwCSYCtElE/ARQtjb88Ik1kbFYMNatO3XBojm/aeurKsqR2zjfMmK9ZbHF+VoP864zYDFMnzYN559/nqS51/uYzBZoPpuSwKZHaNVfgh6hWsTPEC4+fGInbdMpgDYB1k5c2L0dpu8spADbTkG2nSqSaOWKzxGeLCyKVNJxzsXHQf05icA58Z9bVDIjJ8HR0uBEUsyB7X4vTSVGWW0/A9utkpJR4w9ib3E5zfcdDTBWmzDZT159Dsa/+QlP9RWALRyELRrC9ddcjUmffKwDbMllIjUtlSpsydXJTLaIWJua05i1ucoShIM+ONwsIFOUsBIONwdmAhByNpvjXiugpjwFC7Atr07EdDwzM5OasZKxTD6sFZNXFwDRLHkksC3cG8i8IEwwybK8rBRNmjRl1jqykkgWZo0KJNHuZEWLDdi9bYv6GCTAawLZBusTKkrwbhBNsMqAmpqQa5kXjNsMBFq9bwIIBgLUDL6+Io8F+supe4TS1xvmOq3/qzLAknWbMKhLey2ntp7OiwFsVsN47Y+luP24XkgnMWgUJptnGCCm3rzm2pnMfLjGT7+X1fjxZeE+bKitoUEEb85qhify2uDM5By0irkBKb0X8fEmlQRVG5KSgSdbtMOKqkrMLSmuw3Q8pi0DiQBtCznKBLItny23NLBU0rLtzKQb8Af88Pt91J30rTffpFauAi9Yg2ip8RxzkC1/jddCjSqjeJjBYrtRVjRegxVANgKvOFHKGUFjQdIY5jn2Q56hRstUYwW4jZgoRomy22+/nb4nOTuEMkZpLp3isx7glgS/nfTas7olqgS4sxozH2lfeQl1gXHyoI6xUAB2l1uNOi7GQBLzo+PxcHhSlRzaZldCDqylbVqUcnIwD7Oa+T9mtBMImkEJbRuSkpLgp2Ht9d2Li4vRuHFjtW/wQszHicAaP+2XYSpLVCg7mhLvPk0zus3CfFxitIVZuM2Oy84cjf1FZfjp78UcSDs5wHZKwJt9F+y2bu4gNwyz6YPcSc4aNhi/zv1X99flwEswZReedw5+mDKFbhORvYVwl5rsQemBQnzw7HjFfNxD2WsHPC470tPSEPFVYdYr9zAzcuGrTcG1lNbFYUN6NjMBClaXKz7cpft2oEm7LsjNb6r48MnpnRiQ5jn3SNRIvxeL/56DDh07W6SAMgRFo+xkAu85TCJRGtXvRkArM4jqd+UkimDOXk+Sx8P7gj4QFheXoHGjPEVLqILtOGyzwTdbea8ys60w3gKM8/XR+Mdjkmw8s3WLiU4e6PmN9+7VC6tXrTL55shm48wNgJuJcwAR9NVi5mfvcFZbMMF6pQCE52dPyspDyXIixLPUDyy9nM5o2x1u2J1ydUlWI3bY3ElwthxKn1WkcDHCO2YjvPtvJiDuWwwQJjyjGTf7JcfVQbteGatt5+A/WH4AjXqPYG4TUjoj0S/W/DMHQ0YybW1FabGW8oKEwCsqLkKbli1YADTtXQqwHcXh8irkE59A6V3o7Y+P55qyiADmiMFH24ZwDXGRqLtEIizEVkJ/Etg2DYty0fqCDW5PEho3bYFhp5+rba4oLUF2XiNl3yMRqE3YysKUmNRlS5di4MCB3IVJbsdxlrIgJAtvcQQr0hYDoZCBzWbtUwPbTgea52RQBc2hYIAx2bTa4eSAm/SBDIcDQ9yZmBMpY2kXqasPUzAa/dNjcb7FDGB7sDMTf/vKEQqxnN1hIfT7w7iyY1t8uHgdIpzVJkCb1K7NcpHqdmLV2o0UaJMx0x4No3WLpjTVYEVZCe/Pep8m/aBt526oLS8xmBiyF5GcyVi8QHU5CkZdiZQmzHQ3SiLGO92KIok1b505VYRsuQ0oigijcK831JqADp7jlYsuvBDDhw/HnXfeWa8ZedxtGvOssvkOLiMFA35NGUnWl5UUI69RY2vh1YK5VigHWcEE4o5ToHQKC92oDrLjNHUGlhOsEkDXgbe6jT1G/UQKttDXmMrw085Gs1bCtNv8vE3PwuJ9WH0iy+qqaqSlyoE9jWBEHm+jqK31Iz3ZrQFs4bLHsgowwH24ohp7y6owuHkjCroFkx2l4JiZiwuwTZRcGSQoLpGRa3349dAhPLl7O1rbk9DK5UFrZxJSIjamGCOWKCG2DPPsBKSSbAXCN9sWieHuJq3xZ3kpdtbUMkBN03pZ+2lHEpgX5MB7tngguw5AbXzoMjQXeIGk9Xrg/vtx+223oWPHjhpesATRXNpWx+n6QLY8fsvv2rhO/m7o9wpAjl9UVtv0NOMcw3DdJmBu1Uklk3JFCRxffjOaoCtMvIngUeMSycF1x5wyGitXrKDBGxUzblnxJ5SIWk5tJrM3btIEZcWH6X0Y07lm5DC84Ksso7LdsHHPUjmWxGVyuDxKFH0BsgVbXr7iB0S85UrMHsFss3UWLoAiThZR+pNAs8cSaDes1DUEWu/tIUA74FOURyTUfWpqmrYPXUrt/4kJE/DNN99g9549bHsi9ojHrCSoWpVBtTzLaq1K+Gfb9X1ksG134J3H7sYXv8zBkg1budk4Y7Mp4KbAW5iTM4ZOfKdSjFETozDc/HpiMXQuaIktO/fqQEpjtZlfb0qSB6eeOgY/T+esNvWx0/3sunbvgdTUVKxbOA8ebsYos9sEbHceeAJGXH03ijavovlVqdm4FCRNBEQjUUjpZYUD9DsBN/s3LENGXhNkN2lmYLF1rZcWKEFK8TV7+vfIyMxUQTUf7uUc2kJw0SI11vnq1YFXBdCqVs9a02ihZZTWk9yCJMeufA4SiZz4ucjgWg0+YVE1UCzYat1SQTDZemoonRmlAFsAN9ncXPb1Vvy1jSDD+KykSMxG648YMGL4cPz111yTYKhoLqXo8aLNtW7XATWV5fBWlWtstmwdQdqUUwBuTxIa9T0FwZJdsNNURQ7ql8gAsBt2F1/y6qDrdNBNgDMF0O5UuNoOh6PdaDhan0DBkKvgJLjye2jHcjg9/JgeOtCTJfvsgoOwkwQ4ET9bRNB04GgGkng/0ZRPDhuGjjkTPfsMoI8pFPBrCi4ygQQDQWRlZujvjZgiSu+MPHbKxcpRl+NO2AxoJ5OxSNYBmXJ2W5Q6/LKVGkfgt+hcupBNfE/dHsoQzvh2EsLkHmlMDy+LVJzoEKxfqn7NkuhmBiD6RZKP06ZO1dnsupRH0lLW5usXqR9UsNjk84Au7bFs8y7JbchgOs5ZbVKv79cFn2/dpZuO8+pyO+B2OZDktOMETyZ9l2siVUgi46ndBg/PXa0nVOBZD+K8A53djiEbLhRHQ9R3OxSJIUQEdS70d0lLxaFqLw6UVlATcs2MPBDEvReNwWvEV5uw2ZEQDdhHxpYLzz8fP079nsYbEMpREVvjqnvG0/R9OpOtL50ezmAHA9g95yuEvTWsfRMQ73SZfLFNw5Hc9gyIV0RfNqMu1lKIQimRQtwLOnXqhPffN5th11UMhKpq6s03EBmJ+KfK271kXkhLtQArZkCjH19u+/o5rrvrIZpusb5iIcLzPmtgueupCijXjsHPYVgnq4HU/STgLy4OwPbNG2iKofqeuUnxYPwunqWk8Nm/vxDNmzVXFe0KYOHfSVTiwyVokpelxnOh6RcFs83A7qRF63Bln06U3SY5sMVSyXktMdpu3h4/PViI6kAITzZqg96uVJo1gGQeCIajCBJ/6khUS/NHU/1pNUrbdIT7ZtujMdyR3wrv7t+DSn9Qz6EdNoNtogRIqBi5rjht0moyMAFwg9sDAdpLliyh7oCjRxNldAze2lquADGDbPU91QGyG1ws2gAHzomCbE0RUJ9JudYZjLKmEWfL92c8j5VcKrJkWN1bHSSKFhDXALjj/M4O4NZbbsEH709U0uqp7gOGNJySnH71nQ9SlwqZgKFKl2QWqT0SClCZf/ei37F/2Z+IhoJwEBlOsnalmWikFHZZPcagetNsazY7biRyvSY6L/xHQLuBbTcmsXjS5E/MpDxJuvmPEWyT3HmvvvYa7rnnHuoToqUX+s/BttyBEuyc8iUZ1ckmRls3ISTVleTB5y8+iife+xKrSHA0LXCTzG6zzxrDbfTTpiGMCUvOA6kZBQ0AGWnJqKquUkxRBdtJOtMN116DzydNor7cwq+OBjDjQczGPfAoOnbpBgeiir82NSOnzLYDLTt1Q/cTR2Phl29gyddvIhqolcARA0pkEKVPNxxC1YGd+PG5OxDy1VD/bJc7SUnhJAc+06KiS1FtC/fsxJgzz5HMECUfECXquO73Vv/rF354FsytzBxaDmpyu5ElCH1dkscNPzHBlCYCArxJH1EHMhX0CiZds0jQALYMvhkYo0HRZGa7LoBtCI4ns/Ya6Le4V6MCwTw5sM8DB/TH0qXLLJgYbkIuaTCFFYOIND/uyddorlTaFiXrBz0GgB4crXG/0SwIGsIM7DoJ6CXg10WBNQXXFmCbLqn/Nu9XNuHf7eYBrLg/tgba3RRgC5AtPpNBn4B7wkL6D21FxaYFlM1kbKTuTkEUVCX7duPgru1I43msSZ8TgGT5sqV0XEwmDCtnSGSzcX+QRPnnKSmUyTn+cKXl0RZAJUGgvX3jWhTu2EbfVcnBQupHxd69QViSwbZxPJS6ALtEfQ5weTwIBQII+Lw4vG83vTbC6rkNqUISLWYmy8BaGVgW4nO7ceNGdO/WTfqd/iDVPNrKTZgFHS4YKGM/bBjauyv+WbtFDXZJrZMkE3IXA9s9mjVCaSCIUhILgIBsD6tON7McSnaQasO5yXnYF/NjV8wLDxmDSf8g7cdwQeyeyHXqn8RnwjIKZruF3YPtIR8T1gkrFowyli0QxjWdCzBxEWO1wxxkRwMBtMwmFhVR7N1XCPCAaPZoBKedMgpzZv2uBzjU4moAlSVF+PzFxyQBS287pP+QEgkF4S3eDxAlMzUdD1LTcX2okaKOy69Gu22zyxBbrSEC0/4EnCRaCMM26/ffcejQoYR/I05rBMyiQVJw4fFQk2i5T1EZyePR27IVWOTf5H4nj7OifPrmizi4d3f9F6oNK2aG2nLKq6PqyRBUJpseSg5cZ1CqGcG2WCfKwrmzqCBtesbSexcPQHk+VkDQsO7QwYNo1qypfCXShahz3oqNW9GnU1uFwBBB0WjwsUgEXn8AK/YewqBmjXRzcppLm7HZjMXmsRF4pPAlpSza8ajUHJyRkotokDDXURrU0kHGSGLiHSHfYzrQJsEOIzGEI1GECcjmIJ+x1zFk2524Kq8Znt27Ax8V7kUZsVCxYLRjCQFtq6wTcRQaym8M4zD/YpwziOy/auVKzX2U8CPElJyQFOq7YJ9VM/A4IPtIsLYiv9W5QwIHUtBy/fsYZUnTegMwj0vM1NdR4xA5BvnPZGZutL5EDKNGnYzFS5agprra5CKjygkCZOuyeV7jfCz563fdpZDPHcTqTbgQEdm/ScceKN2+ls4LFGhLmTrkz+QYKc27IrP7aM0SUak89asciVwNMG1PeF74z4B2Qxss09YKPyg2wBKwIUCX8bBicG3Xrh2GDh2K77//Xt+pTrSkbzSnem9AMWmLjFpyedI2qPa0Dbb4EcgF88yBckZGBr59bQKe+fAbTP1zIQPVwh+bfhbm4xLDrfhsk+16Y5HBtmC7urZtjc079phBlUj15XHjmquvwgcT31WiPQvAnZGWRgHxe08+yIQ7wWZzRlv/7sCptzyMtr0HY9+Keags3I7yPVsoQ87AERMHi7avQ7C2Emfc+SS6Dx1FBSwiVGhBfqTOZjQrJnX/7p247b5H6G9kNlsxHTeyp4m8ezppqoOs0VdbHXDMUZ+N2+XjEYGKmEVp2xCjfYMAcLMvjD7omd+bOQCaANQqq10/wDabjcdM16KCDvN96gOxtA9icDmd1LWg6PBhFZhJvohMicLemxb1nrS5zEy8/+htiAaDGtimgfWIVYUUA0D4skZqSlCy5AcKtCm7TBlmF2OveaWDs8vISEuB0ii7LfyvddNwCtYFqHYbADYF8+R8DnodhxdPQ4sTz9NMxkWgQMFoL/l9Opo0a4aUFAa0y4uZ6Th5Dr//PotGVqW+akrgQvZu9h4qQ0vOoojKXoecFEct4ViUPlN5eEoEaC/76w8sn/cHNYGc/ul7+ODphzF3+mSsW/ov3n3iPsz98TsEvF6D5loSu8zUhVKIn2UwGEDHXn1Ry9M6ErDh8iQlNMUIQU27KfmTQc9pFq5tNAhkjx49OAiT2jUphqVlUBvljFzVoA02bCzu37U9/l23leW5Jj5hYtJXWG3eVt1O3NSvKz7avIMBbI+TVpfHATcH20ShmeJy4OrUJlgdqcaOaC1ltmVWW0R0tVQ2GO6CyBJtHcnYGvZSwYII6DrbFkbX9DTsr6xFaUUNIv4QA9rBAGLBIK4eMxRf/zILCBNGm7HayW4njdi8a8c2KRUjm0saNWlK4xFojLY0Nguf/UBVGVIataB9lII1ArQpo83ehQ6ydV94/Z0bDOj5izeBbUOzTCQbhWgfRJh7+JGH8cYbbyTwG8PJLM4tKpWRiOm4ZCZOGG4iIxmBsyWgMXQ3Y4PPzm2EslLrTAP6aK23eRM0MIDh+p+U3r503RQ7rgrAjcfXr0SfcfgYJ44ZiVAh2fiIjc/W+Bisnptx9CgsLETz5s2UeAw6mJDADWJYtXk7+nYq0OK1xIzLSBR/bNyFMZ1aMxaZg2zhux0JMesRuf546BBWEkKEjIWRCA1USBlsUmNR2GM2jckWVTDaJKsA7cO0H8dou2Y+2SzoWWd3Kp5u1g59ktPxeuFuvLBnB1ZUVCJMArdxH21i2n4kpa42abmvxX50FKbm+LU4+eSTKeAWIJr0BQ8BXVYgWwbEVuM0NxdXzKnl1mwl71vtp8wDDUXt5mPXa1Iug2plvQUAP+bV7KOtpHyV9rXxdWTOue7aazHps88kWS+O+bjiPmhDTl4jzP3peymgMYvD5OYY0VdRRueQ7Kat0Lg9idofoHKYIOWMgJsFpLUjXF2M6q1/K2bjdbHammsuAdokRs3/KdC2KHW9siQP8dFmwdDEYBoIBOHik2ldhUQhnzRpEjWjMhUZ6GqTqP75qMC2dizpOIrEZvhM9jNulyQ9LcWXbE5OvzOGIzcnG1PeeAr/rNqAZz78FlGyXfLVFnnf9GjkguUWQdM4CFfycnMzxlgMTfKycYgGQJIBnGBAw7RedP65+HfBAhQdPKgHReMm5AQgdOjYiWqeFvw2nYFqh16TZNDtcqDzoBPQe9Q5cNpi2L5wFma8eDectgj+/uh5+ii3L/kLBT0GIDe/GWUwCatHOpWRzdbyZRtyEb/59KM0ErTMeBv9s3V2W9Gn1l2MAc1MjKEMsK18p40Dvcr+MkZb99EmvwkEg3C7XOZgKybAbWE6Lvtca768ui9+nQA7Lrg2AP44GlRTQBFJ0ylrO8879xz89NOPBq2m0Y+eKVSYgYZuQt7vhJFY/sePumWEFGyPgFeXy6Gtb9TzBAQrDyHqr6CAl/m5EhDjMrDQSRJoJp+TYHcnsW1uvk6pyax6+JJWsl4yGacg2wFEAuh00f1Iz82n/UDEMRDR+AnYDvl96DVgsBYc77uvv9AY7bXr1lEBlCi+NAFOeqY7DxajoHEOz5/No97L7VNRElmMaGJ4JG2hnnLJrffi/OvGUYHn5vHP496X3sWo8y9Dr0FDcemt91LT70gkjFAoaNZYa+axVn+skN8TYD1oxKlo0ZZlnwiHgjTScl3FFMHZKGCbBDyV0RKflyxZjCFDhsQF12ofUI8noTf1wfKxnQFuO1Um9GjXCqu271GCYaqm49x83O1En1b5CMZi2Or1wpnkhDOZV/7Z7eFxMZwO3JTaDJuitdgUq6FsNwHcydyUXI5KbqUCFoXcWR7cOBQJUYabmZxGOQggzHYE5xa0wOTVWxEJhhClQDtIg9Gc0KUt/lmxjsW1CLMc7ySF1zlnnYEZP/8kjdm6a8iIcy5WALjGapC8yAD2LfwFzQafQYMNkudOgDaxJNFgoDweaRI6N9nXXo0xZoABbBseAgEm9RbptIMHDcK2rVtRXl5/nlVjnzA1I35tREYiClcxNpJ1RAnlJgF/dDWO1L4lNUoCSuQBJ5yEPB5YKN79WQ0dMghO2D9bVgKKaUMD3iI4GvffFgHRpPPEuTz+IYYn3vqYga5EiyqmiVWGD6zsKyxEy5YtrQdTGWBEo1i3dSd6tG0lpfZSQTaxmPlt4y6Mbtucp/ligcpo36JBy/TgZaSv/Xz4EPb6fBiX3ZyebnZtOQXVhLmm7DUBMzGb/p0D7CBhs7nZOGG2WVaBGHUNIX2aXAdlrDmJ0DMpDY83a4urcptiQ0017t+xBT8cPgg/8R0PJeBSZH68dbZBK32oyWyfly+/+IJms9FjZrD1hJxggZWtQLbVGF1XsfqdYV2i5uKsYyRYDdcgHdfatFzreHEInP9BtQLcJrk3psmrJN3X7Nmz2H6SebhJPpCsmkhNTkqiQVCpSbiUhYbIxaSsnvWDltI1u0UBwgEfnET+4oBaZHphWV/Y/EvWpTbvjNrtC1g7szAhp3F1JNJSTtOaqKHT/xRo11U0zbPUdkinCZEgMfXohghjefPNN+Ott96y2CpPmv8fgG3NV9vgpKIxzLpZgg62ufDlcMKVlIS3HrsLjRvl4spHX4Y3GJZMyYVvNo+mbGFWrqUJM/ppA2ial4ODRaVqpxFgjIKwMI14POHx8Xj6yQkmM22aS9thxy33PoReffvBEQlzcM1SejGwTfwI9RRfZEnMyUdfdy8ufuJdytSddfdT9Hr6nnK+nqaJBmpiT1j3x9bNDrW0Y5zp3Lx2Jdq064CsrCyLaOMq4DZq0xIqxsHMwGprzDVVzcsA2wBOlXla+q3QZvJKBhPWF4yRTQ2fLYKVWTHW2jojwOYm58aUX3WaGxknNu1epP3kCUHTcOrbR486GX/88Yew7VBM+Sng5gycWaFix4mnnY3sXCkVnGCHydLFvxOw7bLD5XKiwwUPAGEfEPVT4MtAsM5gKwBbrto2Brz19XzpSYZTA9v6b0hqJicB2S4HosEq7PzhGZqGglwTBdou6XoddlSXHMJl4+5l5t8c7J517vn0vvfs3oW2bVprShxmncDAtHieuw+XoHWjbOarrYFsvW2ZTGsNQ5niGF//yBe35DVpRoOYlRUdwiv33ayBbQ3oxAHBYh8huJNPqxfNx7wZ0+hxCciOENBW13VZAA25xmO3jHpZEght0MCBWvvWl4Z2bflgDGBbPFPZYonXK08/CV/N/tfkoy0z2gRkO9wuymo/fGIfvL52M8JOGwXXLlGTGNAmqRUJsE532nF9alMcjAUwP1KGJALYhNWHBmTN79Fo3ZNuc6CCRNcngjkNlsRAgGDZjsvLw/zdBxAkObWDIcRoZQHQOrZsgg2bt0q+2iEMHTIIi/79VwHUzC0EaNW2I4r27VJSNdokC4um/UZgyw+v6dYZRvnScB/ye1YkemE6LKHceGbkFlbIFkW9gBtvvJGm/Kqz2Opep7dLPY2gzF4TsBEi1gIG6wxjexY9QZ7jjKfOyslDLXH9iHt35rZuAtlHwo1JYFuOXK6m/6oHbMt6XgCfvPYcig8dRIOKMmbwpaKEZ6Vw3z60bNFCOrFxPNDHYqIgJ31Rjziup8ki1esPoiYQRE6ShwdGkxhtoczi/trLy8uxtqYaV2c2oSw2KYPcGQhQM3FmKk6ugABoAbIVRpsEN+SuICR1H1WaEUabVz26uMinHUWe3YVLs/PxfIv2yLQ58eiurVi2b2/DHmucMde4k2kOkPYXy8qKCnz/ww80wj+TI/g7IDKShBdMILtOBGEosQRAtvbuLQ9g+HgkAF8+QLwqW1IY6v8FyDaQLzrYjknvI0bj5vTr1w9Lly5VwbUsi2vjmBTo2G7D3U+9TC1bZTlQyEjdTzqNZxuy0fgdEZJ3m4zdNAOMDTYOsHU2m7PbTjeyep5GM2QIM/F6mW0Otonr3zEG2okPnfU1Kws9IE1flJubq+wkTKWMg6vV8c866ywsWrQIFZXMpEYttvpNvBta9NlZP47psAawLYN7k68epGBoKvOhBDHjjMfNl5yDq887FXe88J5iYq4EPZP8/axyw+ngnp2f5OQlE4MM4FhnkaNTR9C7R3c6qK1fs1oRkhirbUOy24X8xvmYcOuV1DePBEcjIFtO6yXMyLVgaFK6LyKMkZLXohX3xWXpa1Izc2jgK+GjLdhszVxcikTeuWsP3HrPg3pubSO4VnK0qjlz6yt0yGiA5lDLpa0tJRAqDYxi0Cwtr0ReNkkbwFIukCUxE6bm5GLQ0s5t1Bxyc/BofJNwljvb4LOtgDaZCZcYcCuAncB3zX+b5/U2CiTk3CnJycjJzsLu3buZJpN3Mavo8HLuXVKJpjO/eStsX7lQ99HmgfiUVHJOZrZNTG1jIS8Kf3uTGXkQVpts05htt276LYC0DKxJBHIZVJPP0neydHI2m4BsAuQJyHY4bSj87R0UnH4TPB4XBdk0BZ5QRPHr/OG9l+CvqaT5wAlbR0pBQQHsthhVRoweOZxat5SWlnHKRwRAkxjtRtkKyNZNyGWFh6onMY6HNs4g1lWYOX/dtXWHTjj14ivx8fOPqQKVERwYgAKpJNhdRlYOHbMo2yKx3JbDspWQZgAu8dLLsH3VbSUlJWhC0qhp+yQmNOnKW0mxKsZ76h8mBz6zo1v7Auw5XEqjD4uAlpqvGAHZhNGmSwa4G2Wl4apeHfHh1p20PTuICXmSg7HaxJTcrSuZkp12XJGSj0y7E39EyuAmgbWIUpT7bdPo5Hws1aOU60HKyDtkczAHPTzHrohaTMAAaYPdc7Ow6VAZNS0lAftivJ45pA9mzluEWITkmWeVnJOkpzt8cL+uJOWK0srSIqz79y8llQtRtJFjkpKSx0EOb7vOlAyayaLOoj1+dayXAZXY0cqMnAiHiRfWRk455RQsWLDAHIHcEmkYwLG8tEkyUl6uAr6ZjET8tmWgYvZ1NZ5E6SN8x5JDB2iGDuP59TuyEPWtQHZD5XXt93xMko8jttHPqrm4OLkseYptxB2otIhEKa67WIE79bmbH1hRUREakTzW8liqzHNseaikFI2yMvXxWTEdZybbS3fux6CW+SyvtkitJSKCh/Ra4Q/im+KDuC27Oe17Xq50yrU5GWPNa4rNjqpYRDcVFww2NxmnZuMUZEtsNrEekPJmC7AtL20R4KS0bDzXoj0KcnnGhwSKZZu2QtOWP9Abr1g9ceJ7uOP226mlSB7FC/rbJxYMxHxcV4iKfzLgFiURlCJ9Tvj38UB2ovhJOl+8zQmbl5sPoAayPfpqCbgTkA2vvOIKfPXlF5IsoCsBhYWVTLYI2b2ytBjvP/Mom5e4FVQswmSkvGatNAzQvHs/espQbSWL0SMyFAmATUG3qHaktx8CX+EqldGW3W+l7zK7TfK2/58w2rEj2J9EuiwrK0VObp7SLIgATXLjaeDdALa1cY6ssNloPr0PPvhA+37EILreEkclbNzHykycLqUI44p2Xa979h/CQ8+/jt37D/H9pSBpnBkZPXQg2rdujk+mz1ICqWnO+loiaQm0Kyy5WLJ9qn1+pPPgS6xTcgDHg2dp5saxKB556AG8/OILEiPBTMjZ0obMjHRcePUN+PTlp3RwzQGQFiTNwQGGzOiRg3CgTQZOkROZdJK0rGzUVpabI4xrgiL7XHb4IN59cQLVelqZi2vsKM/VLHL3GU0o6yxWQc+UCOTCnNfCp1oJJCYDbtIXwigtr0BuTqZihpOc5IHP51eZakOQMpGOS2OqLQC22T87To5s5RjG4xmZalVxoGoyrYJtCKZdNSu6/vrr8MnHH+nkHxd69xfuxQtPPoYDhfu0KMUCZIugaM1atsLvX35AP8uKG0WhQ8A2ZbUdyG7XHdkdB6B213LKalMgTCthDLmvNQXbgq1m5uFOTwocUiXftXVJ4jsB4h64PC643AT0OGmwqligEh3OvxfZrTtyNtuOZL4kgJtcn7+6nOaLb9mqNVUaEBNcUsj7J8/rn3/+wbChQ5BHgHZ5hdrO+PvZfbgUrRtlSYoeo7Jbjsys+rHKRZjq1lVIZF81T6WhcqG/39DhuHn8c1i7+B+W+kWLlxA/EjmZF6orypGRnYumLVqjS1/GLHuSkmlANMtSRwc2b5KUCtLXhs0addlDymO+lfJUZINgVkePXnMBnvniJ8UiSc4mQUD2/upaPP/XchzwBTC6Y2sU+QLYVlsLJwmKRhhvHhjNySORa24UdhtGJWUjx+HEvGi5BrZFoDS5ugUIl3JdVyGMXLtbbzMCbIsASZEoeuVmY9WBIgYaqE8nqWEM7lyARWs2crNx5qdNLKNOHjkC8+b+qcTVIOM3SfG1d9tGSSHK2gjxuSOFKMKaDzlLe8wEaId9uoLdrEARYFow2CJnuQ6+xesS0p7RjJwIaw0t5Lfdu3fH2rVrTddlVABZNR15l0iUyUi5uXnK74mM5KcyktVBVKWSEXDLygbyOS09g8ZB0IOFxblGCchYgmwD7UJ4VgrmOBQ2if8yWViHBKmcKwYc2r8PH738JA4X7jPt26P/IEVRUncxjAOGLYpikK93aBZ2Zs0BlZuiUSxftxn9urTTx2ZeWZ9hgSsX7tyPwS0I0BbrpQBlQpEVjuLDA/twRVYT2KOgwQi9YQa0bcQfW2KrU+BATTTCwbWoPOI4B9gCbDOzfN0YSvbXNoJtcq1kmy0K5GUQNrnuoslScawr1Kqy2fFKbW0NFi5ahJEjR6C0lPQFDrR5k0lOToLPz/qCOeuDaLMSYm0oWGlIMQHzIzmARdU6i1r27i3Ew08+T5f1mpofw8qOawTckiyo5duOcmUUW7Zv346mY6uqqjQw2pJftgKLmJzeuElTVJaX0nlFsNfElJwU4oLF5EI7tYzNa9uFpgim2IAGxCUpM3VWmzHXOugOlu1BoGSHlNaLBb+1qiwwruvYA+2ELQksNS91F6KdIgMoCdUvl6SkZHhrvfxw1mBbPteYU0/FvHnz4PWSNGGKA9Z/UGQQXdduFmBbFsDkffhxicn4lz/8hJ17C/HF1F8U320NqPP64A2XY/bC5VhGUn9J5ohKdDwBuPU49xq41iPo2VDt9WlAm1gGLFy+ijZoGZwJYNayWTN0aN8e/8z7S82FqpmR2zFi9Bhcecud8FdVaIy2BrYlIERAtsxuI8wEqqTkJHocccz0rFzUVpSpAXS4IKiZHtqAqV98hFGnnWWRL1tNdq/kHrUBmzdvws8//5TAqye/kECKVdWYRqvtHBxpyUP1WlFRSY/ZKCdbWU+AVq3XZwDoxoBnMkCOWANsiZ1WALYxMrnGdhsYbXFPsoBRF9jm28QAq7Da0jWQdQP79cO6deup4KgzWcAPk7/B3t27MO27r/XI8ryNibZGggX2HHwCKg8VskBoFhYUAmSLwGhNB52OrHa9Ubn5b56PmLHaJOiS7IdNrj1SeYCDbga2KYOtAWu5cnabDPpuNzMbdztRuuInlK76DSnZOfQaSOCqJFIpq839tJ12ZGdm4Jbxz7LUZHYbQgEmOBCBmjB6tTU1yEpLpUC7uLRMz9EusSYEoJLfWwFqzVdbmGLWIXNQV5SjZLSFVQJNz+R04nDhHnz33qsKsyiiiBrHUm8V6wsZ2TkIBHxITc+g60mUUb8hHoeuFZd8b+N13zpAj8LiUYVAIvOH6oJjltbltI064KaWRcLlx+5A/+6d4QuGsGnvIT2DhHD/oanoHPh+5RbsKa/GtA07KYstTMhjLhuLQE5Atgy2icsE6QscRI9JykGG3YEfwyy4nhXINoJtMqYejgbQzOGGNxrBlmCtlvZHRCMmwKB7TiZWHShhpq/cDJYAbmLRRL6ToHiC0Sbj0YiTTsS8v+Zq6SJFLI3cvEa4+v4nVfcCG0vfQtucm5jZhpjPK2JwpmQiLBhtsbP8EmQwTYPRCTCtA0oFbIs9JbDdMEZbL6NOPhl///23ZdOIR+ipjCorFUYZibfxpORk+EiwwThWIdp5rJC26DN835YFbXHZjbdJ12Hd9hVAbUrNJcC0yGHOp0NZhjT9JQi2NazE9pgzfQoO7t2D2dMnm2TBbn0HIJ2aF9ddjKAv3k7iefj9PiQnszRzZK5etGSpolCXgffyDVvQr3NbPvbqjLYArQTAbjhYii55mTwCOQPWOthm1iKrKyvhgg0dHMkUZJPI4bU8CBMZOynI5ux1is2B6liYm4fzykG2bjIu2GyuAOGMNlWecZNxndkWCjW2nXynVpIJPtg4BLV5X3kZp3z22Wc0kFZFeYXeF7QXT2SkZJoSmBYrkKDJI8cCCNdRlGM3FBDVB275Ptoh2fovp0zFzj178MV3P9T9+wabmyQG+iorKrF46TIuh6gEi82CdCHrLr7oInw3ebIOriVlliKbS26DRKYYO+5uREIhjXQhxITAiwRQM3LODk9aBoq2rqKfiWJMWMEqvtocZJO5OLv3mfDuWqyx2pS5loKS6sy2CIRL5tf6yQhSEp49EtcOWhel3RsKMc8jJSc3V2lOeY0aoaS0JP7BxNeYfo2XXHIJpk6delTXKkaE9z78CEOGjcCKVasS/qWcCl4+XLxRxpLVhg03XnkphvTrg5vGXmyYPSWTbzvxEXDiw6fux/i3P0OIaDkNZuFaOhm58utRhVsbHWSFpvaWx17AixM/w9+LlhoCHOiaqbvvugOffPSRDny5KQdltnmAtObNW+Djl5/GllVLlZRfIs+2WAqTX9JJSOJ54TMmmxWmZ+VQU1J9nQ66ZJ/dDp27YcDg4w25tnWTcZ3ZZlEQydv65eef8cjDD2PkiOH1v2SHy6IhG1htDiyN0cbloFW6T4vIYxhDcRkLnpNLTcf14zbOzUFJWZkUAM0YoMwMlK0BtvDPtmKxLQA1r+98+QMGnn89lq/bZAGwLQZyWdtvOcBLgdyEdtQGnDLqZCz4Z76ST/Gqa69Hv4GDcMU11yv+OqKN0fzZdjvOveYWeIkiJhZRgqF5pKr7azMW25WaBn/RDpQunw4nAds0LzH3heXsduWyr1CzeRbC5buU4GfEPJyaiHMGmwFrHVwLsBMo3oFQTQnajrmG5TqWQHYyXTJFgDMWxecvPo6mTZpqafPK+fjXuFEe1q9di57du9Fnl5eThZIyxmjLypBwmE1ANBCaCWCzCVoPjFa3Zt/BBcq6Culv8QOaqYos0vfGXHgFDWZWXnyY9UV5cpXADSlVFaV0SYD2n9O+RZiz+1m5eVSrLQ1d1kBGHlrl7Va0lcVqLeuF4fm898FHGHLSKKxYtdpiLOdHMo7XikWSGKOFG4+Iq+HAhBsvw/iPplDlqhxfg6T4IvXak/piYNvmuGpID8pw52em4uSC5pi1v0jLqW132dlnsiRt2qmPr4zZzkE3Zyrmhcv09IxSZa4Zsvm4DdujPrR3JONL72H8XFuKdcFaTVkj2lQO6SskBy8X1pmJLGO2uxa0wJadezQFIJlLcrMyUVPD0rwYTdWnvPcyBdPCT5u0FRJtnBRPejaK185HJEiUUDYOtBmjLQNzxVRCfh00j6q+jxZwychsS+0xxZMIuDBP8D179sTGDRvqBdjxj8n2FzISYfFkUNgor5G2zerIDTlXVUU5Zk2fYvbJNuITDVjHMOObT3H/xWOwff0aRXknDTf8s+5jbSRmrMC2dg7pXMqQFYvhtEuvQpc+/XH6pVeZCJiAz4dP33wpoedr9ZAMTUd7D5p/diyG2+6+Fy/9P/beAsyqqn0fvs+ZbphhBhi6u7u7G5EQQUUMsEFFEexCBBQRREVApEEpRURQCQOUEOmuoWs6z/muVXuvtfY+Z84Mg76/6/svrsXes+vsWPHcz/3EBzPwy7ZfpTnZnI8PHD+NmuVKcXNxrmCX/LQzMrOYjEJ3Cb9t01JEgO3V1y7j7og4Gu2fpOUiwPkmUVgRcAGnmbqLBFKFEylul5QvWzYV50tiIeHWq1vx15bXBdAWwdL8pJS7ngpTrnoXfz2x2TYSK1yuHHy/fj11ETX7QrTSWGJji0h9QQO4ouHY7fN0XB7wMQGOH38+H00698Zfe/72fIHbIZCVa6p985Hh96BZw/p45L57vFxDUjjkWj3F5tGsGrkMO/q58Zg0fZbUF1RgDZ10gRu9e/XEmtWraUBHAa4FoCZ/666eDGc4UK1WPfyy7mtjbkoRckJ0DHMz5XGdImLiKFGYevmMYRlLg6IJ32wtAnlgVCximtwDV1Yqm3sp2OaKbgqyCbiWWG4/f4T5ICPlCWiTB85P8UWfc/3aNQNoy6Vo0aI05Y8n00a70r9/f3z9NQuak79idvdLl6/Az88PiYlJvp9rS6fYOUp5Y7WB2JgYPPPIA4ijGmw5gJqggUywXbhQJEbe3QNTv/xaY00Ea+3btyM+2mncD7hX+5b0vVerWI7ttOmAMYULIywsDOfPnlPArAGEHExwG/PKW1jw0WS4MtNMkG3kPXZSkMSWbFvqDTZYFipSVPHHjixcGMk3rhlm4sIfW45AvW7pAnTo2l1iSEzhTZiJq6Yqbrw/eTJ+2rQJy5YsQiRnzbx+5SBhXq8XTcLIVYtoHfSuXrtJryR8tMUAVTS2CC5evmrDkquMtGFG7vICsHXTcrFNMm/TB8pLV69Tk5rE5BTvzyP3eGNwVc2GPPlqk2W7du3w008/KeArNjYWox5/EnGxcaqvNrdmEHncSdu5lnAGmxZ/bgRGM6Pcs0rZY8IoU3bbSc1ry/UYhaDIwnA6cuBHAK8A4hQs+yOsfCPah4Jjy3JAzSpjvTnADlDBtQh+lnTsN4TGxqNC79EIDPKnAJuA61ADZAtG24ndP32HcpWrSgEAHbh+hfkZFisaR/0927RszoB2YQK0iY+2+f2IEHT6wlWUjYs2/ABNDbMQggXYllotz3utl8C4IrmPGf5OezZNY6tlq5IHxk7AtYsJ+Pt3EulTSukhgW1Sk3jE5vDIKJrft3jpsnR74SJxuHH1Mn0OtS/bRRzXwhspwN8WGxklxyZFECmXSKo1PycSk5KtJ0nWRtQSSRrrleCWkvm4GVvDD6VLFKV5tZf9vEMB4CIoWlzhCDzWsRHiosKNiOSDalbA6pPnkEPGQgquyXYnA9ykPXPrCMPayOFA48BIGtzsAgkIKAFqcsfkiU3XGtanL7syUcI/CPUCw+mWUgFE2GYvT7HqkcY71v6YZU/lksVw5NQZRUgjZ1esUAGnTx435w1eidvQlTOnpFQuQPotJieERMXAPzQc2Wkp9Bao6ThhtKWGoFot8coBu7rdPM4WbPNj4qJyj2BtN88S1o2Yud5uEdegpuOSYiiuaFFcIb7IdrnrjRvzfm0xdN+4dg03rl1R5HLT1Nu0jpG337x2hTI/qclJ5hRgubZ2DXk/7MG2XTRyHWxHFS6C/g+MQqGYWAl+sBOioqOReIMpZvJU9DFBU8IlJCTQ1F6k9OjamclIlStJD2KOt+kZmTSVnUWRzeuBC1dQNY7H0qCVHKZailwn/vduIBJ+RqRwAqivuZh7XYjbz2Czyf5g+CGF+GhT4M1ANIsuLoNtldXOsdlPWG6aAswlMd4ccAdqlqd2hfRb7yDbk6xs315JXvrOnTvTcVf0hSLRHC8IGSkuDpcuk3nBt5RL/GQ2jyiTokwAeC9ypPFLV4mVkB8Sk23mBX5ZcyUfKNuO3OE1tkg0nnn0QcSR2AFer+HLb7nyAMbZes/O7emyWqWKjJDT5F6HcU3zHBLnafiwYfhizhyPFjliSJcJM5Ir/fefNiA7M53K+EnXOVEbW5STLoxwCyUyHQkg7R/A50DCbEsBNmWwzZntnJTLuLFjIcufLbHYBHCzbRxsc8BdrEjueOFfZ7Q9NVuj42gdmEwiJGVXsqeGa1MI8COpFw4fPpz3m9RmplcnjMe6b1agXZvW+b2Qts1GspNTftG/9VYmHWhpiabQdnfX9tjxzyGcTLikgu086LSpHzAJJgHgnl6dseazaSgWS8xzZLU2Z7YJWwo37hs+DF99OV/JdWyYdHPBrlBUJKbMWUjNvt3ZGSqTLfnZikrANGlvhWNiFH/sqMIxSL55gwmDAmwL03GnA4lXr2D7pg2IjIiQQLYWDI2bW4lX/MnsT6g57gfTprD0WT608+927LNuVLSGmkm5PIjlMnhd4+AiNob72PJSLDYGqWlpSE5J4WCaDV6mf7b5XVTwrQNsKdK4rcm4GWlcBNMi9bUnRmD9p5PRvkk99TnsBmrpPdiZDVkmMWl7jWpVcfDgQRUMCW2nNuAKhY5Q1BDlTdue/XH28H5kpyWrftoC0Ap/aInVJsC4WKOuSLtwEGfXTYYjO1UyIw9A4RrtUbL3BAQVKqoAbObHLVhsDrZ54DNSr+/5DonHdyI4MhIBQf4szzEF2v4UZIcIsE0j8TupcqT34OFGlH3ybNeuXKbPHlukCH7/4w80a9SQfmdiOn6VmNBx836xPHzuAioXL2KaKgrAY0q0CvAmJYvkMqegUC3BPgBt8m7tBHx9kmTaajMeQtnKVfHdkrnYsXmDPdiGA0k3maAcFhaBl6Z/YZgSRxeJo4xVemqKkgpMLeZWlZWyH5t12ZpGeSbsDWXs1fLqSy9i3dfL0K51S8tZRjBL/W9eDRNykYKRm6XJQSsfH9gT89ZvoVGE1ewRjNU2lrT6Izg4EN0rlsJ3ZxN4GjAOsmkAPhYZVQHbPODZ3cFxWJ91DenIUdhrXWl63pWBsn7BdL15cBTGFS6NaP8AdWpRhjE+bkg5gysRoH3yrBHvQ9h9NWnSBDv/+J37ZwuDLAdqN22JrIxUpb+nEaBNQHhkYVTq+TCCC8XSWwgIi2I+2lRgFqBZB9KSOaJYCuBNlnIbsTEjj4vKnbmwmzvItrwQBZ7KNW7ZQmQk+V6LchmJzGHaLysLXwrxAy9RVpg6s20K+NWmObIc9NjzmPDJQtRs3MJOb6wCaPG3B/1sXsG2HPxMv1fy34inX8j3+1bHMfMlnj9/HvHxxekPDLl7AFYtmodidJyUH8SF7KwsOnaIPmAqPs2699wV1C4WbY7RHMyapuVu/HD9KtqFRLHc9cIE3OXGDeJ+QcZft5OBas5qB7udSAMJhuYyTMctjLYCuGG/nwJs7retRSYPiss9GBrpz55Atv6e7d+7Grvjq6++wrBhw+i6FS+wd1+0aBzDC0IB6r4dkJ3X4sZr48bgu6Xz0Y4ow739Zr6KpaXnvfqiPPAm13m6ptuFe/r3xqovP0WxOBYk0ADbho+2WwXg3OZ34MCB+HbdOhrclFm3ye5Cpkm5bDVL1lt36YHj+/+m80LStSv02EIxhNEWpuMkplM0MlOScPnQTmTeuGzEejJAtkgbaTDbToQUKUPlqJzkKxxQS6bjEsgWAdEKHGjnl9H2pRBzD/KQhQoXVrYXK8ZyOiacO8+bhzmwelt27doVW7Zskfy081CkWYx+PBI1Mj9FjDIqWtb269vUYw0dtSykMaMKKQ0YY7WJtmXKuMfw2JvTkZ6ZpZqY69UwGzevT/4+fiYBpYvHSfcis0R2oNGFVi2a488/d5oCETQWmZj3OhyICA/HqUP7sWjmVIOxYwDJNFkUgDvx6iWEF46hqUtk329iQkqChZHOI4RGg9F2ALt+34oRjz1lgjAtlZf5CpjJ+Jfz5+Pg/gN49ZWJJtj0ob2cuHiNMf/8nRhpvWStoQ4wJXbR7SlYGjEdv8aY4+jICGUgK04UHsR0LeGCymR7qVYTcSn9lxJF3PxbBtfKteBGocgwD9HWPWnSNBcKS1EpEHq0w4HQ0BBkZfK8y8KESIA2w1/HDLwntJikXRHgN2byLCRfvQRndqYBskNEhG8OuAWzTSsPHBVTtRHiWw7A5e0LqYssMyX3NyoJakbMyck6iyTOqsiRzfy8mbmu0+lGYFgEKt/9HAKDAk3Qz4G+yCUvth/+czvqNmmOsNAQrpFlz3bp4gUqUJBnJabM4aHElNmNIoWjkJ2dg1u3kgz/bGquePoCKscX0fPkKBOoLkek5xA/WhHUzBwmgnibux1G22S2VbATEhKKcZM/oX7bWcTHygK2gUSicHM68dmkiQgMDuH7HIiOZWPU1UsJ5jXlIVebqI1hVGmZ9qOzvJ6dnW0b7ITOC1GFPI6ttkpR+dfslKUSqx0UEoT+bZti3e97JVab5dU28npSEzgnY679/XBX9fL47nQC7RQGq83bIq0UcMsxNBwo5OeHu4LjsDDjIm65s7jSUkQdZ8IyEdp/yLqGVoEiTaIpoDCgqr8bFY2JcaREkUI4f4WkjjSFLtLfa9aojqOHD0sCFZs/6jVthajC0crvpVy/jOCIwtRd6saxPbh1Yi/znw4lkZ1z4Cbm7LbgWmWyDSsvWe/NG58t2HYAsZH5Y7RJIeO5L8Xtg4xUWJKRyK8V5TLShYTzinLLk9hh/TUTzBYpWhzd+g/hn08CxDZstjiH/EZoRJQGftk/IyWXApR5qi7djzs/YFucIysRpadKT0vF/t1/en2vOvZQXpnN+7t48SJ17TF/RTB26pyYcPkq4mOjJaWmOZ8K8/FDF6+hapHCXDawVsIe/52ajLqB4cyc28h/DdxwZ9PAZ+SXaYAzXgPhpNAm1e3ibLbum83Dx8j+2baMtwm6ZcBNALgvQJsy2rqVkfRP3ee9rV64eIG68IisRFevXuF9QSYj3CjO+8L5hPO53p/4fGoWidtTiLF5wQZ4yY1VbPCJMdbBsZ3GKw/Vl983fiOP96eQKVxmlIMou63kD/mbzEUPPzwS77/3nsRcq7GVGMkikSsOB3oNvBfxpcvQ829euYQIjheYPMgUy2GFCsOVk41CxUrhyIaFPCCa5JfN12XzcbIe2/J++IezTCdivqVm4zZB0YpFEzm9IBlt3xJJ5qsQ0/Ho6GhlQiKfr0LFinT92LFj0jjqOSia+Lt6jRo4cOCAue8/L24P4FtjPjyKfF4EOInVLl+6BJ4dMQgPvjyFDp5yZHHWaMxqYb0dwNZd+9CqYR1lm+URtE5GOkGJEiVw/hyf6LXOIiIDEjDcrmsPajJ66cxJFWwLvwoe3OrS6eMoXrqcwnKT6xDfTFJSElkkQZmluXX9KmrXb4T6jZtKQF/2zZYZbWDFsmX4Y8cflMkWSgTKCtswe3pp27IpFm3+Qx1k9BclsdoyELKCXlXbSPxuie8iFS7pNnZMpXKl6VWPnjhlb4qm+VrrOQytA6EVdCtpxyznmNUE296Kgni0NuVdEixbpqyR5stktFWGlClx1NzpAmyHBPjj5sVz+HrGOxQI0srBNQPcJptMKgHalOEO9EPh8jVQoe+TyLx2CieXv4yUkzsM323GfougaRKAMSpjEK/+uRrX921EXIOOLBiVHvBPSmVHg5453Fg3byaKFIk1lUe83R4/eoSOg7t370aDenWNbxzLffivEgsI/g1JOztw5gKqxseZrCJyz52d4XIhWA5ww190YGzuAhXxe/fqo60JVoKtIM9GFBCN23bEys8+wqzXnsel82eV5nLjykVqivfEa++zSZDvK1muAv3t86eOm8KaAE4SE+kJTOfSYhWgTVyH5KIrbxWDXYspJB/btXHbVKCailIKsqm6nk3gg7u0wtJNvyspGhn7zQJgGKm/eA0OCkCLkkXx6+WrBqPNQDhX/FBfbT7OEncL3mfK+AdhWEgxfJ15GQnEjFyKNH4sJwWLMy6iT3As4vwDDdbbEEo8gVZDAWmCs0JhIabbiST9lSpJ5o5zhmJEWCGRt7Ro2hv8t1h/v3X+FCKKlWbgOjgUqReO08E8IJz1hZx05u9tstnWSveJqc9QMpvKGk9gO7+m47kWrT96GlUJixcdHWMB7UJGOk5kpLz+tASkSZk8fgwN9qWCZhuZXT5PlsslkGzo+QRY5mOQCIqm6P/yC7Zl0G/z7kJCw7Dtx/W5vwcf3xf5vCRSMnFlssz98osBA9olCNDW2D9Dke1y4/zNJBQPD5FyawvzceaznZqTDX8yVkrgWIDfSzmZiHEEKFHESSU+2qQQ83E7s3Dy/il4NrlG01TcYlIugXLpuCAfLJ3IHCaDbH0w1kG2rCTSY3ssX76cMp+i0IjjGl4ghUSyJuXoseP4t4oSl8NuljEal6YFyv8v3g7Szv16bj3SlPfqCWTL2WocUhwZCrBF9iJuQdmvT2+cOHEc//y912C1bbMFiVgeXEZaOWcmThz8GwmnjqF4mXIWTECCJ5NSOC4eQaFhXE5kgdGIlRczIzd9tgXgDoiIxs093yAn6bIBsgWjLaf3IvuKFjTQvqOM9rUrNLWXXuKKFkNkVBQOHz6kgWnvYJuYjp85cwb/K0XOqSovfCqa8KYLbXr6rg7NG6Fnu+Z4+r1Z5nYpGrnCdEvXOn72AsJCgml0YxUQmb8saw+FFpfULp07Y+PGDYoGSu4scq7tlyZ9yLTy2Vkm2OaM5Il9uzBr/OM4e/QA4stV0gKdAYUKk4kL1ARdAeFOBz6f9i4F2/aRj3nQJV4PHtiP5SuWY8aHH9D9AmRT32EfFEq1atbCyq27aCRdkyXUwLbG+oqAKLI5pclqm8eRYGgk0JXJ/LDtxWKjERURjkNHj+fCYntI1yX7yIh8HgqTrQdA87BOHy8XsG1LrUhtKhempXLlSjh69Ih0GYdNrkUzeJKcw124JDRr3xlh4eG4cHQ/B9lOZqbNTbaFr3SwANoiQjP3sS5UrhqqDn0F2YkX4XRkI+nwVjgdWQbIFubhdJ2DGbJ+5c9VcKUloliTHmwwF4BaCsxGU9nRbeyeL548QtNfhYeFGc/y91878OTDI3Dgn32oUqUKjVxMTZWN+AjM0uYqCZ4nfZ8bSSmICWest4VKsvtebga0g0TMB4n9C/aBucjVdFwC1zIQFmCb9Mt7n3we3Qffh4O7d+DU0UP4+JVn8caoYbh+6SKKliqDqGgRAMph+GKRCORnjh9TlTCagKY2SLtGqpPOksRHgXYWZdxtz/XCZpvm4nZvTDteGruFlpwA6qjISERFhOH05etqbk9aucLUYLWZGfngWhWw4vhZw7pCsNoGs02BtvBhMwF1rF8ARobGY0d2IualJ+CrjAtYknkRR1xpeCS0BMr5B0uByrjikgomUqw3/sJl3CGPf2FBgUhOJdFh1fGExMQgAdGElYqwiAoOCoIrO5v+3tkDe7D6vedw9fQRRMUzP/1wArj9/WlbJabjpOSk3ZL8sB2292gEQ5Oi2srzsiew7QvQttD7YrPTSf39PRVf9JbXrlylObT1UpTLSEePHM6THK98JzIGZKRRazECTsUFZEALC7D1DLLFeQSUKVHJPW3PL9j2MLSJc8tXq2EEk/T4Hnx5Z9JnvXL5MuJieS5z42QdrLhx/spVFCdstZ2CmoJtF30PeiA004wc+Cc5CdWDwoxo4IRNPpqVhrlpF5DgykARRwBnqk2AHOhmisFkCrTtzcIZeJarPaOtA2zhtx1SjFs9+oAXrEpWe5DtrWz68Ud07NjR/AakLxg5tM1SrGhRREVF4tDhI/g3iwm2PR4hLfOBskWnKKiqg38Fi4sgtr5dSkkfJrkyKu6ILhb8UsQMMrMYmSlq35s0CRNemoDMzEw1Da8NaSYyz9Rp2BTvPDUSp48cQMnyDC/IaV8jOF7ITLmJhgMfwfVje0xWWyiL5XUJbEdWakXBtkjlpQRBk6KQF48paEbbcWcZbd0/W/xmpUqVcfjQIfTq3g1DhwzO/WIk+wBNbeXj/fLDvJu45rewhnz7V9YFOnFVUqVc2FwAu6dXJ5QtUQzvzV1qstdOz/VmcgpGvfEhXnvyQTPIGhcELUoC3gkNkxu3G23btsEvP/+ssFVWf1oGtkmuw7+2/YRv5n/KBD2pc/y+YQ0N23/xzCmULF9R2Uc0UYUFo32LM9r8/JOH9iMoMAh1GzRUfLp1bRhp7Ldu3sDYsc9ixvQPacdkYFbyI/GB0fYPi0Sn+tWw9g/NV1uWAsTnV8x/PAWZMLeT3MgsEJp412zgI3dVpUI5HDh6HB0Hj8SAh59RLQu4n7YJ8DWAbYBrAbbNwVAOmGXPYkMbXSWQYDRFK1utR963tiX7UrkSAdpHFXxumpbqkSg54JZMYollBAGyw58ejyJxcQxsUz9ok8kOFUHJaPVnfweZEcGDgvwQEhmJ0u0HISg0GE6nC6e+eRspJ3ciJ+UqXKnX4OdPzHT9kHnjLK7uJOm7vkN8s34o2+1BBtp5bmwjl7EBunkgQG7NQZiqux98TLHe+HbVSmRlZODE8eMUaP+xYwea1K9rTFyx0cxEjUYe54qbrKws2k8sPoE64JYEbVKILzAB2vLw4gwJhn8EC3yVG9D2BWkL5YgegEo0mwpVa6JD7wGIKlQY9zz+HF6etYBGIyVWLAqI5oxqqfIVcfrYYTxzbz9MePQ+ezbES6WtMJeBmaQLIeb61qI+mO6HbXlwJRCa1Dc003F5nCbjdu/WjbHxz/3SfsHImiCbadrZeqHQYBQJDcaZlDQzGBoNjMbNyA1/bcndggdHIym/7g0thlFhJXF/SDH0CyqCwSFxCCd9SYpIznKSsuvQ3yD3QO9Xy2KhBN8jZuJ0ozK2sPFKBC5io4PRv50ODHjkaTqu/b35W+RkZeLWxTMoFF+W7gspFIsiNVswoM0ZbeKnrRh6aabj7BUKdwJTGSK3RzuwHRrkj4iQ3POlepI5SN/0xXzcG+i7ZiMjuSUZ6dChQ+jfqxtGDBviM6Elg9uszCwMf3ys6gMtyeFsJnGrbLQNyKbHa9ewrfJx+QTbduDfOJfKgX548pV3kZGRoe6zvJLcwY/4srcSExFF04Z5zqpBFmcSLqNMMcZ8y+5WwrooIzObzgFWgG3WAynJqBYUqoDhP7OTqP/1NXcWojmjLaKIk+OIzzYpqe4cyTTcBM1m7mxhMm7vwy0AtkgBJsC3g7g2Ubc278VJFIcSyLZ9nxqzzbqPesL+/ftRqVIl6sIj3rddX2C/CVSpVAkHDx1G5559MHDo8Fzv03JDdKHfsUY8WUgoH8F2PnG2OL3AqnFBK4g3QHa+ALwmj2rxfxyC5TZMys2AvUVjY/DEE49jzNNP0nmBWcKarkpC0Sun8/1n1x+IL10WF06fRMlyFY1YTX5criIKelKykm8h0D8AB9bNhysj1cirTeYuannBU3/JNTiuDEJL1WLzmjAdV3y0ScTxYESG5R6B/3+G0SbaXqLVtitVq1XDgQP7aW7dpCSWwqPgixADcvMpzd91c+9dcjL53K9nYbXptzHTxxCwOOaBwUhOy8ALH3xumpFLVbAkGVk5uO+l9/DOmEdQoXRJU0oxrif9tPFqpI5FTDOiopCclISc7GwDEAkGUgfcpIN063s3jh74G6ePHpQAkhP3Pv4sajVpjpzsLJSuUFkD2g5kkiiz9OdJkCLWqdJTk6mf2nOvvmUEQLMAfT4Iu1zZGD16NN58/VUaxdvUvvFn8bGNO4LCMLJrS8xZv1VishV0bfm+KuDWJmaJYaZ9IUWP7M3usUbl8th/+BjS0tNpZEvFhMcQWu2Asj37LXzFlHtT2Gu3FyZQpg51CCO3GRl8+KZ1oso14repYXiZKNSBtzApkn22CQgkjNnKGe8i6eoFakJOgLYMsg2wHeRPKwXbQRLLTZbBgSjeuCtqjHgX0dWbwJV+A5d/W4qTy1+jkcqTT+1CcHQcijXpCf+gAMZiS5VEODfNxqVo+34OpNy4iq+mvq65SQDPjHsRLVq1puC5ZIkSiAgPQ2CgvzGBJfGAL5Qp49/z8JkLqFIilgVCM9gTMy6AaT6uftd0Vw5jtKUS5ENkWXqcn6+MtmSEo0UFN3PbOxBbtDhiixaj35K0zfSUZNso4mUrVcGpIweRkZ6OFDJ3KGS0rADyDPxzK8Ty5vr163BrD6AAawtHowNrzYLIbuw2NQjcooCd06x2Nfy2/6iq/NTdgAzAzUD3wOrlsPL4WQquhcm4xWdbRCIn/cQBCXCD1jBiEucfqOTSNlhwAtL9HYp5umAFDGnCGApl8GEzJvGxkIBQ8q1NIy3Wn6nS9dRRdHvwKZSv04Qy3NGlKhjBbI6vngF3TgbcWWlKjAcT9MvMthoARwfX+rgmg+1YX9jsXMgInxT/bs/b6LyQlKSTT3RZpWo1HCIyUno6PUY/XQGzNiCZsJTL5n2KKrXqGabeahAzKR+2+NsXkO1NLJfB8m2AbU/PJp5946rl2LrxOxVgW+bsvBXDKNoGZIsbP3HuAsrFx3nUNCTcTEZ8BIt5opqOm/VERhrKBAQz0MuVHZ0Do1HeL5T+HeMIpN/DBMNuGtiQlH+QhEPuZNxwZ5mm4jLI5tekAFoC1bp5ucyKU7NxH+J22Ptoa1KCjfm4tDDKkiVLMGTIELOxG3jBPkBytapVsf/gQYoXErW+kNtXVeUUm/5q3KhOKtxOKUgEnWe0raz7DLJzkStlQofJ2Dl8mwS26bpgu1nt2qkjKpQvh3lffC4FMjbdBIUbkZDzHn5mHBo0b0Utz8pUrMJjNZlyFAHV4rmIHFaj80Cc3rrG8OE2mG0lpzabVymrXbUtbu1Zxf423LRMsF2siO/xu/LAaOOOlT59++PvvXvxzz6Rf84sDRo2pHkol65YiZXfrL4zN2Cq0wq8sGbs7dpSozcauV2RBgCZ1VaENZMVIdrcN54aidpVKmLgs2/g2q0kzUfbD4dOn8fw8ZPw2D390LBWVSX/tsW8UX8Ot6ogaFC/Pnbv/kvyhzbNtU1Gm7khEpDx8vsfoWSp0ki+TtJ1MaGPCLY0yBAZMOvUUwU8pwM/r15GTUYbtWxrdKjZk17HmWNHaGoywWaLyIKK+TiAqVOmoHvXLmhYv541QjcZEHxgs+lbCA5FRGgwmlQrj5/2HpbGH22mtwxMkkSg7DMHpwFd22H3gSPYe5BclxxjCqiNalfHvsPHsHbOB/hu7keaabgNG20RAhjwsgBsrSr7PbVFxfRVR8I2zJ4nMG5TSPTQyyRNh+nhKwW84pEolRzpqnuCEYXcz0mVQKNeeQ+7N3/LI487JZBNmGxR/RDG2e3gQH8EBbIo4cyU3EzbRQJVRVesjYp3jUH1B95GYEgwSrUdhKJ127IgaQTE8EpNxBWQzatI3+XnxLa1S9Gx7yAGekRUTKcDhQtFG4GPkhJvoWO7tqavkzsHX65YS02LOzWpY5j97z1xFjVLFzNcFOSo42p7kNuhZDouFV8FKvI8nvxh7aoxPkgMtWwFI7OQLbv0wvGD/+DkYZ6HWGpqVWvXx4kjB/HunEWYOm+ZmYNbboqWlicFTfOhkHtwkXcrlJui7Rs3IjHU+hgsA3KvEcjlc/jYzGtcTCFcvUWUCDKbzV4UA9ZSpcKAE7WLxeDIrURkkYCPkn+2WBfxBBRGm7PaMrAOtKmszXJGmwdhE37g5L7SiWWE8GnnbcwIrMjfo7CyYUIdG2PiYmNxlUTXl+YKUoli9dienYiIKoTQSCbUFK1U00jPElGqClLOH8WVXT/ALzgMkRUbGAHajHbEWWzhU85eswm2jW8qG+hoYDsu0jfWwlP8+7xEHdeHY1H69u+HvXv3Yt++vcb8IsSFeg0aUHeoBUtXYOHyb8SVbCQJXdZgv7F/z180armS61oGzXw97yBbVvBptYDAtidWWzxL41bt8ceWzR7vOS/FpGHM8dS0IlNTGp27dBUli+g+2uYHTriVhOIRobYAW9RMl5v6aAtWmoDdIPgZftjFEGjuIxYdbjd+wFWanq8xCtGf+wu38Lv7phYATTUPV3NrWwOmUZDPAXhQ0dzdiUgRMhd7bzaKTm2foiCFCahpbJIGDaRG60b/fn2xZ+9e/L1PtygEGjaoh3/2H8A3Sxdj7cpl+fjInsC2DcC+bciQmzbqTlcvINsrRrcjc/SqxQxyMVBtgG0Bsl3ZBttN5Jvnxoyh1rG7eIBlwydbkvGEnBdduDCKlyhJ779I0WKGG6lQCO/+4RsEk4C0DVtQebB8ozao3nkAHO5s41jqeiWx2g4JcJOYOwRQp574jQUgFXm0OdguGuNbxPH/GdPxLt26IS4uDgvmzbfsa9S4Me1wBw8esI0AW7All2dUQK63YjZaI2AA8jm6e/yFXAA3NQVlZuQTR99PWeuBY9/Aix/MwbQvV6L3ExPw0aJVePHRYejauhkLtqMxMOZv2DH9qvDepk0bbNu61QRFEuBmS8FwM0EqLDQMN69exptjHkXitctG1PHDe/9CfJnyiC7MQ/XzSjrqj98sRfted1F2j4CUg3v+pG2iSYtWZpRxYUUvfpvf/YULCdi5cyeG3XuPxGKrYNvnNk7yaDv9cH/n5li06Q8FNBsRyDVhwNgnRx1XzLlZ7dGmOYoWicYXy1ZroNmFpvVq0b7wz+FjCPD3swBo/XnsAqUpacfkffL39LnIihgViOhm4zrCMUyt7BTHfBvxGZQnYrNNWf82AqPJJuScOS5Vpiz6PTAK67+YDndGGjMj1wKiGYA7iLDbfgijSxOEhxC2mwJwxnSLJfPtJjm5uY+3YSrOQDZd0iqBbLF0OtCwVQc0bNXOMIcyAk45gJ07fkeFChWwY8cOdGrf1vhe2ZmZmL9yHYZ0b4/QwADjO+85fgZ1yhQz2EP5Wxvm47zrSl+CmY4TDZhUgmkKm9wLC+am5l32VE1FiUjboYEizey7SdtOKFwkFhtWLORtwDTnrV6vIY2RcPrIQWZWKAF2se6xgamtzeveIrGxOHdORLE1kb4CvC1gW1M0KeBadhp2MqcQu/P4enhIMNIyMg2WWzDejKGVlwJs+6F7hVJYf+aCJRia4bsdyJfC6oLGNhDxDZy0LejKIRGXgF5DnC8FXCN199UbqFOURGs1tSYW8En9+swxkYzFpUuXxtkzp5VgaKQPV65ZBxdPHaN9+tzBPSgcXwbhUYUNISm+cRcEFyqCy39tQJE67eEfFKww2IapuGHsJbHZuq+2wYBbwXZ8dKhPfcFOIU0UNbeb3ouc3bVbdyojfWmRkdxo2LgJnRcOHTxAUwyKc8TSU6XTD4lZ8vce9Bx4rwGOhe8uY7Bl8J1XkO1Nxr99sG2HG3Rdd5Hi8WjTtZcJw3P5FN52p6WlIShYKF20N2yMs2wsJmMTGVJFHnmq4ObzLzn0YmIKioaHSHOxCrKTsrIQ7vQTuwyATM4/7UpHNPwp6DbNwIHtuI4kZKMKwhGDIFRCONqiCFKQg/OuNHvTcbFNZr1t2GwBwEN4DvHcihFIkP9np2rXQbZ+7C+//IzWrVqxa0kfpnu3rjRn9tx5X0qyNvsWTRs3on2BsNoe8YLZyZXQXuZ+479c5P2CwET/JdK2A9nyLg/nKRYhcvu3Z7UhxQ8ywbYwGxfMdjYF3X4ONz7+aDpee/UVJJw7B6eDmJGraXpZCmEWm2f/rp2ILV4CrqwMDS+4sOO7lajXsTdCSOwbolj2d+LS/h04+dNKk9UWTLkUjdz42+lATP3eyE6+zK3HVEa7dNwdYbSZ7fudKCSh+JB7h2HZsiVIS2VmYKJs+eUX+tubNm7M0zXF5FZw6oFczErMX7YfreXGKTOat3M7YkUD2ArYdvqhXvXK+PbT9/DlpJdwb58uqFmlAhZPeQUzXxmL+jUIk+2n+m0rTLbds0r3zZ+lUYP6+HPnTkNQFma9TKCWAJEwDXQ6UL5iJTz/xnv4ev6ntMORzrTzlx9x7dIFnDmyX/Fj3bX1R1y/cgm9Bw+jf+/cshmVq1XHmAmvewyYYLLZbrz91tsY/8I4KtqqzK8ZwIF0IJ9ePRF0I4ugREwUbiSnIiUt3TODrHxrT1o/ExQRAH1f/+5YuHoD0tLTFFb7p1/J+3Xghy2/exjYPABsOdCZcg9yADRTCPC5XTq8KKFkJGxMZJqFhExBas2rRvXqOEgyBzj4mUJRw6dk2S3AFNBNId1M+cUANwEQdZu1xqcTHocrM42bkTu5jzYH3MQvO9AfYRRwkyUD3QxwM5NywnYHk5zYPC+2ANgEiFDQEqACawFYSBA0AmBMRtuJQzu3IfnmNXq8UBLILP2mHzYgISEBhw4eQsnixYwgI99t3oILV67hwX5dlTzaxxOuoEJctCGsGWwPlzwNdlHLZWvHaEdUq+JjX3AgPIgEpUKu1QTBpjJOMSMXYJr/TQSlTv0G46e1K5GZni6BcAf2/LaNnrBj6890o8V/34s9hcxs58Zwk2i3y5Yt09qpFUDzaFtS9og8mJB7UprCgfIliuHEhSsmm83jccggm+7zE9WJXpVL01RfVDtvgG1uOs5BshzIT/SPIOJu4Seq2XZJu2Yg2zzfMB0X5uP+Tmw+dxEdK5RkDLscjZw/Gfk2LtJetfGwbJnSOHv6tOKfTfpCkbiiuP/516gS6vAfPyPp2iXcOH2YBbRxOhAeG4/TP8xHVtI1FG3Yw2CunV7NxW0ikBssuMp0i/uvXrKQz32BBrOTGtS58+dRsiRjXfJT3JKMdO+w4Vi6dAkFfHLZtoXJSD9t+lE5x1Tyatc0TMPduHnzBpq170TzZ5tjgh4hXIA830F2blNIgYBtT2nHZFabvLvAIFw8fzbXWc3T1Cc+54WEBJrai7HY5o2Y8WrY+ExM+AMD/JUsHgKAi5d4OTEVsaGhijuPDLQvZGRQ9w0BemUp4nBOChKRg4vuDENZcgKpFFBnwo2qMH2oyb5mKIzfcQuZRAEgmY7LwdCsAFuNPi62Fa5dLZe3yN8Zj/Dsifj1BrJFWbRoEYYOHUqfwtjuZvPCsHuHYsnSpRwvCEIL+HnLVvrbGzf/5OnOrDKI5QY12fcOkoy+FN8jgOfvembD18xoRLHIs/x4Wbsl5co2iCxLTCKXFIGcsdkmyGZLsj06KgIzZ3yEJx8fjewsEhxNle/EHEGWv/70IxJvXMfRv3cjPTnRANoHfvuJEnjNew8yYjwR3FCuYWsk7NkGh4vkuWeAWo9ALvtq+wUEIqbhXUg+tpXvN8F2rfK5BwUUJU/I+Y4Abf7d7h12H27dvImPPvyA+l8QTfDE8S/ipRfG0Sjie/fuyfOlzUZUkKUgQHZB3IPMOJvbmPSqgm2RMiYkJAQ1K5dHpxaNEB4eZqaO4WllZFabCoieBhqlg7ElCXJGch8TTa7MKsmmoibINgFRpcpV8OSLr2Lfzl8x8dHhuHThPApFx2DM0N7Ys/1nCpiuXjiLr+fORtVadVGtZi2smDsb239cj7DQUPq7rJOwx1EBNwFibhzYf4D6ctavW0cFvnKERJcbDn/fLSacUSTQCdCzSS18+/vfyvtQWW1TGLADuhZWGy6MuKsHbiYm4f3PvmJ9IScHz73zIca+NQ2l44th1z8H1Sji3gC2wWSbkc7FswsBwPDpzbfyxx4kWKqCaiy6bbNtEcVN40aUyWV72UQsK2xMxY3Jghlti+egNqOQs1qzQSMMGjUGfu5s5KSnMFZbCYom/LX9TLBNfbcFo236b6uMNksPxirzyWZstgq2ldRe/g78/PUiVKxWywziYbg9kKB913Hu3DkUKlQIu/bsxo+bN9NvdvrMWXwwZyEa1KiCOpXKEtqfguycrGz67ugILYFspU3qn5bvz8jJQaDmNhFZwzeBipSIIH+1z3moctR4+j1zA9sOoOuAe5CceAsr5sxEekoKXG4XZk96BTPfnohiJUri8D97FZZcAGmPKDuPpW3btti0aROPGi0DZCH+2YFtzTJI6xMW5ltjscXf5JnKxRfFSQq01TSNYpzXGW0Cckmqr7pFo7Hz6g2TcQ7wALYNSwsTYAcbbdbBrTVY9TdANmO2TTbbAZfDjbPJqSgfE6XeozR3hAQHITU9Q6YlaSMsW7YMTp9m6fx0hdlnb47D5bMncPPyBYRFRWPlhAdw8Z8/6LyQceMibh7bg5DYUggvWVGKMm6CbTmaLAXONky2yXabykEZbNcomQfmgspIZmMjgVyrVK2K2ymi2947nMlI0yUZ6eWXxmPii+NQslQp7Nu7RwHZiopXk5PF+upFX1IXDAFKTcbTZD0NIKiAWB+YbA96Z+Pc2wXbdoy5xmqTJRk/fv9ls0fRy/OsJ7UDkrIrIQHx1NJHPsP6sEdPn0XFUsWloJQi04cYl924nJSCuDAzOwSblk2gfTEzHXH+ARY2m6TtuoUcmkN7cc4FnHKn0UscRBJSkYNYBNIqF5Jbuw4i8Bs1Ibf319a/uV0+bbIeXbeGz+2WMIaadGr2DC8gmywTE2/ReANESWU3bN8/fBhu3ryFaR9OpzE6XDkuvPDSy3juxQkoXaokdu/Zm8vd6bKz3SH/PdjOSwTwfF/PkIdtTrDtNBqBZEQed1mC85qBhl1SUDQBrK2MNq1uF8qXLYOHRj6IV1+eqJiMCzab1KRbN3Ap4RwNkvzZ5DcwZ9IrlFy5fuEcNi7+HGWq1UaZKjWM4J+kBhIL2HufprYgDGCbgdBYrBEOtuWUX35+SL94CGkJ//CgaAxs1y7vm3td3oG2Zl5YIIW33/IVKmDI0Hvx7ttvonK5MmjdvCnVakx6fwoeGTUa27dtQ2pqau6XcwApKSkIDfXR3KuAiyROeT9QGqd9v7jGAFpYbekOFF9rNco407pzUC1YEo9UFBccbE0hxa+zh6hVuzb1sxeMlZG3WvKnFUCYASL2NxGomrduhwZNW9BOOnnOIsSXKoPxDw3Fw73aYWi7hjiw9y9Uq10P2cT0NzgYL70zBYH+/kraGSV4AjfMJJPchIkT8MrE8Za0VyQdgQxwHX55ANqFmDarX/O6WLl9t8339SRlsI+umHAbjDKbkCuWLoH7+nXDa9PnoFjT7mjQazg++GIxPpw4Bk8MvxtbduxGakqqkZtQDFi2AFtKJcbpCQmI2UQX99gezW8v2CD7ycpbQMFcJjbpBtq2aY0ffvhBYrNNVtsAZwaLqQJv2Y/HBNwMdNeo2wCO7CzMev4RXBTRyKXc2sJ3m7DbJvj2N7cL9lurIlq5uBatWu5synjzXPEkvV35ajWpabLoB3J/2fITEQzdGPXIw6hetSr6DrkPjTr2QqUWXbFj7368MPIexV3gyLmLqFi8iBnBVhLqhCBoMtvqu7Yw2sT/1UdGmxRfGW0BrhXW2QDI4ruqKQIJ09a5/2As+Og93N2sOh7t0x4rvvgET778Dgbc9zD2/vErMtNTpWtYA6cp69bhy7YJirfj5+ePAQMG4MMPP1RcacRFGIOtjbV2INrCgMszhS6OCjbVgUql43H0/EV1HDcAtxmBXJi2UV8yfz8Mr10J8w6eYMHSlDRf3PRbrkF+8A/y55VtEzEJKLgO8leO9QvkYJ0Cb3JtP2w4dxEdypWgacZEJHQ5KBlvVkogKhF1vFKFCjh29IglsCGp1es2xC8rF9BGe/+7c1CqZgNsfO8pbHxlGH6eMAAZidcRWbq66WNny2RbGWvxN5tOrW1DgG1Sq+UBaFMFg1Q2/PADWrZsqQyrMhj2VvTdFSqUxz1D78U7b72JSuXKoE2Lppj18Ud45733MfKR0fh9+zakpabak1JGTmzTNDw7x4Wd235G49YdDdBl+FXzG5DBtYwpc2OyFTCt/L7N/vyCbS+stvz2qtVpgKMHmD+vfs28FAK0S8im04py2pxHj59NQIWSxWz3i3H5cnIailCgzfuEoRhll76RnY1CVB5Rb/JIDpOBB/kVRUkEY637EpYhAWeRjqvIRD1EWTz0yVpphCIZ2bjhylL9tSWALQdHs+znYDymVvU84wVZLJV17gbItpEMli1dquTO1t8j6QvDht6DN95+ByXLV0bjlq3x4cczMW3yu3jskYexdfuvPuEFo3DFqfeAyPLN33ngnVeiMC+stgWhG6dq7VnepmjKbAA23aabjbsN/2vVjVGOQi4FRpMY7t49utNnWv/tOmpCLgdGI3PE7yT2gtuN6QtWoH6zlvhx1TI8M6ATnujRDCf+2YOe9z8mpfzicUn8HChWsToOrJ0HJ3IMAE6zaBiKWTZ3ycx20dYPIj1hn7GfHF+jjDXd4v8uo80LabYfz5qNXX//g/ETX0apUqWxYNESPPTIo+jUuQtN0bB1yxav5wuZ//y5c5QF/29LLsy3VFlAsdu4nB2rbTDbEpgWDLZsKm6YMzpzCdojsTM6RcTNp1q2bIFft283BGYhzOhRwE0NlfCtZWD7+KF/ULl6TVSsVAVDH3oMFatWR0RkJO556DG07tgNTVu3pXm+B983gieel6OZ6wnu2ZD51VcL0LlDB5QmE6QSnEEzb+H5afPEaAMoFB6KiJAgnLtyQ/u+9po/C8CGCbCFHxdZznnrBRz5YQlef+ohlI4vipUz3sJjQ/ujW6umyMjMxE+//WloCAmrqbPZ9gDbg6+2PHjaDdbG59bAtaVNStu9Ihq3R3QjIqhHRUQiIjwcCefPK0DJjGgv+/+LyPKy1YQJtmlwJ+57SpbFixfHs9M+xdbVi+HvzqZMHjEjl8G2aVJugmsTdPtrAJwfy88n1wkiQdBoJevsb+rPTAZ1hwMn9+/B3Q89oZiLy/1l0w8/oGbNmjh3/hy+/Hw2nhn1EKpULIeF09/BhV/XoU+7ZobJOPmuu46eRv1yJcwgaIpCxU7BY7594qMdKLX90DKl4R+ee2ovUcJJNHQPBLJSpeagAGLpuxmKFKk+/+50fPnjDjzwzAsoFl8Kb8ycjwH3jUTzdh1pCrBdv21Xxn/aBL2Baa252rdOU7gfft/9NPjO7j2EMRTt3+kFbOduQq5mjpBuXus7VcuVxKHTF5Tx3ASTZhA0CmypCTcD20UiQtG4eCzWn2W+2jQIGmWzOUgWgJqCbD/4B/PK/6b7CcAWIJuuC0DOwTYB2YFOuJwOrDp+DoNqVTACpAnwL/sLkFzApO2bQhsbiwoXisKtm7fMdiD13UZtOuDCyaMoWakaipetgIEvz0Dd3sNpPu3GD7+BTpO/RaW+j8KdnW5J0WK+J6m9GSb4poJHbqAKy+1woGxsGMKD86CAlfoRMfEm2RNq166ttS07IOqFoJK668xPZmM3l5FIMNH5CxdjxMOPon2nzlRG2r6VyEh67mqzMlNjDlUdwEvvf0yf08oE62BXBaeeQLYMxOUHMJV70tbbBNtGM8rl/ZFASc+8Nsny2/b36rlcuHABJYrHWzVyMihxu3Hq/EWULU7kA3V+lefcpPQMRAQEKG494hjKwufkUB9tvRzOTkUxRyCKOAPR2xlHgXUkAhCHQAxHSZRDqO3QRu6uJiJwwJ1sazqu59kW0cflAGoRFcogMDI8T3hBZqtVqdFksvWbJX1v7bp16NWrl/UhpPLprI9xYO9uvDpxPEqXKoVlC7/EqIdHomvnjrQv/LJ1m8/3qpJVNvuMe9XAdgHi7fyaghuFy09ezctt+qa9Zk6WYWWlkssLwJYButWl0aFk+eHb7KKQC7DtzsFbr7+Gzz/7FOfPntFwA7B100ZUqV4TFSpVwuTPF2Lww08gLr4knp08C5/+tBeNO3RTQDZdcqIjLDoGF/7czKOPMxabpvripuNGrA/ObvsFBSO2xXAkHvgBcGWhXPEon1I+ipIn5ExD9t+JIvXAsuXK4fEnn8Li5SvQvWdPurtipUooV748ftjwvU+XOnPmzG35Rf1rRZ9NvRYZ5JjfwRKUxxgAZIZFA9kkMqwBsuVUXsJkXGKxFZZGFia1e3cDzZo0wW+//SaxU2p6LzlyoMxe0OAFbhf1t2jVvhNCggPRd+A9WPT9L/h8xbcYM/ENTJ49D5179EZwYCBnO6ROp6QPM6/vysnG0qXL8OhDI1SQrWncyKDgzAObTd9wRAx7lwCGtm+CBZt+V1+HBmIV02zFfk4VOg2wTcxnShTDmPsHYvXMd9C7XQs6CFUuE48KpUpg/c/bDSbbrdRcALZ0fcsAK0s+du1PZrMVhYsNGLebQT0VWZtqCGRuDB48GF999ZWFCDTzaJuB0UQ7M82L1KBozHycpfwiNTY6Bo+/OhmJlxPw6fjRyEy6YQZHk5hthdUOsgPgJtg2mG0O2hmrrZqOE0Y7Oz0Va76YQf3xZXNx0V+Iq8DmH39A586dcerkaVSuUA5vvfQcFs6YjIE9OiIiNEgB2eRb7jp2GnXLxUtRxoUyRbA98rraBBVG25E3s3FSyPOzwIPe/9Hno8+oRpA3mG7Zz1o6nhxTskxZDB75GN75bCFad+5GjylTvhJKlimH7T/9IF3TA4OtbffUDjUdPvvb4cD7U6bixfHjcT4hQQPbsgJSGieJPY03E3JlHNe2SX0ornAhXLh2g6dtNAG2YTZuRBznbDZhkwmr7O+HEfWqYNWJc7iencVZbVYF2PaXwTQB0MFSFQBcqYLZFksGtj/+5yiG1qxAx20CtFneUZPRZjoEFsGdAlEJ/TG2g6TlopHDjDFc5JMvEhuH4//sQa3m7ei2wMBAtB7+NNo/9Q7KNuuM4LBw3Dy6C1f3bDZ/zwiGJgdEE+bjKmttTptC8FeDo9Uo5Zt/tihyQM0VK1bgrrvukptX7sOslyK6cJly5fDYE09h0dIV6NqDyUgVKlZC2XLlaVwHo91KLK8BZqVAZ1NfeQGhERFMfKbgSzIVl46X130xF9fuWttXsGBbUQB4SF9IvslbY0dT9w+V9VbvwRdGu3jxYupAoQwa7G5Onb+EssVYai/FskhTDtCWYrE0YiXZlYMwDWiTb0P8sys5GZgmfaW5szAaIgrxCEYgjTduPLXl/osiCBdAcoqrpuNqHm0ztZcBxHm6ryJ1ayIvhcxrMnutjsIqAJfLrr/+ojFagoL0aP9WIqBcubJ4+onH8fXSxejVozvdVqliRZQvVw7rf8hbXCdWcmGz6WrBM9seTcTzWrxp7mxBNnIB2arc6h1gy+SV5+qQWG37KOTCjDwHQQH+mP7BVDz/3LP0HQkZj8wVWzZvRJsOnanrXVBAAB4eOx4Zaalo3qkbIiIilOC4wrKRsdpO1OjQHxmJ19g2SwRyXWFrst0BhYrh6rY5qJ0HNjvPQPtOBkSz/T1DdnegW7fuWLd2Dc3VrHdUvRw6dAhVb9Mv6nYL0ajt3vu394ijys1rQhddlYNIySBG7eyqSaPEtLgd2L7rb+YXp+sUdaFPZyAddmaNlptWSkREOA0EQlgmk3VU/bNln1rhT0vWd//xK25cv4b2XbpL0QOZwMU6ghC+TH8NI7+eAbJEpHE2IKxcuQJ9evWkWisVZMvmLXwA8Vf9mnIrVJCMZJ2tTa1K2LrvKHJyeAobT0WmFzTzcTNYiunXZQJi2dzdjZ7tmmHVj1uRlZllpuESjLZeLQDbhsmWbdbuQMnIyMTufftt+gL7XTMPuKqI6Ni+Hf766y8cPXKEt0TV7JPN42oAMYuLAgfc5O8Du3YiJyPNCEZGBtky5Sti0Khn8OVb4+APFn2bgXETMMsAXABqEpU8TGa2A0xQLo4NEoHReFA/EaTtxyVfoOe9Dxkp6uSImqTu+G07rl27hi6dO8OfMITGJKaZYEk+gCcuXKWB0Iz2JEzIBbttCHs230czHQ+vlrexk3wL8ty+0dqSgkQPXiZSgKmkrhL4TvHLdzrQqmNX/LzhWxahXh/CxP3lh3kwpXlaihQpgo9mzMDIhx7SwLbOYutKSlXhafQFT77aNFuEGTeDgNaKJYtj97HTkjWSmdOTmosH2FTithAcgIkt6+Kl3/YinURv5eCamJD/k5qMLH8oQFo3J7euC0acAXVnoB82J1xGanYOulUtA2eAP2e0WTXMyMn9OpxIz8xCUFCgQBhK/6eRx0+fsnzfg3/+jrSUZJSuWMXMPy8FFCT9Kb5BW1zdt8UUjuRgZ1Jebcu6BKhN320ZbPseCE3uC6QSNnvhokVUWXg7xeyxUt81wKmpNCPvtFPXbvj+u7XIyspWjFYU5RFnKJMSE3Hl4gUEhYQZAbUUBYAMorXzdZBt3I/Elhv/bHS54ppETjh9aB+1dMgT2PZltnKrx5N0p8SX1wr03di143dqcq8XXeIhKSeLFi1qMIc6CBHL85evokSRwhYZQ1HAy8oLm3E5y+1CoGyiA+BYThpS4EIVvzAp3SW1iYOfTwOcA1Hwx3ViPu7JP5uvG37ZEigvkgf/bBUv2ASftBmSxb7Zs2dj5MiRfFve5RPyuz27dcGadd8im+IFaUKxHmwlBeSsEnbnWC9C/zesmHyaa9TnIfPCrn0HbjtDgf3veEDcsrKI9lUXtu/YhVQabFHW/LC2q3wLRV6T27k1ABosMosA12K7nF9bdoVk7Dbx127etCm+XrHMkPuJjHT92jV07NrdIN4IKO/Qqz+2rV9tEBgGluBRxsUcEhoWhsqtuiPx9CFjnxJxXErzZQZIcyKibD2ExldD5WLBefoKeUbN/xbQdmjrAwcPxqVLl/Dzzz9bOqqBC3kh+SZlc63/oox/7U28/NYkfL1mnc1eddgxUh0ph2hsoTIQ6JKrDraZwLdi/SZM+mQ+xr07wyrQWdLKEAbGi2RsDCTyM6h/ki0kHcO2LVskYVrPe8x9swXryEHRupVLUbpsOdRr2IiDIxNkG2BbnKvk1NOAN6+E7Vuw4Cvcf6/py6r7aJvmLG44AvIGtElxRjE/bdIB29WtwnJqey02A5UYjCSzcYXdtqkkrdPFq9ex+bedKqCWfbVdnhhsG1DLb+1OlRffnoKXJ32Ales0ixQP2lSRm50Mbh9Mm4oxzzxDg9kZVhJy2igtIJrhs2+0F9A29tN3q/HVrA8we9JrnOEWgdIcqFStJl74aB6unTuJVTMnwZGdScE28bEmJuWmLzYzG6cB0oxUYMyfm0UsF0y3P2e0mfm4SKFE2nDqrevoff8jaNy6vaFx1SOOr1y2FOXKlUdMdGFUKFfW1vdeVtBkZ7MImuJ7GsKcSC2kMNqegLbJhkTkEWiTEu6r+bikPLX4aSum5HJAQ9mCQayzfd373Y1rly9h57Zf1DzZmsyTF/LBIpbwV1e+fAVMn/4RRo58CAkXLng2I5eqzmq/+OZ7ePndaVi5boN5rgG6TesjhwGm/TDm3r6YtnS9FWRTQEuW/hzkWpeV4qLxeMPqePG3vcgm+J2A46vXsOD0GXx88hQ3EbepgTbrEhAnIPtkSipWHjuDl1rX479JQLz4bXZvhGHnPj7sOyhzCFdywo1aNWvQ9FTyGE767+a1KxEdVxTXLyVwkM36rRCYiIAUGBSCKnc9wb2h7EzG1YBocn5t01TcHmznJRCaKGQ++OCDDzDq0UdtWDnfi0SCSsDWQ3UDfQcMwpVLl7B9y8+6Ttc4X0QSv3L5InoNGW5GIJd/RwK3Mo5UjpGBvs4460ZbUr8yngturJzxLr6eNRl/bvrOd2ZbvpC3d6f13XrNWtqCmB/WrsLnM6Zh8usTle2imcqyZkpKMsLDwrR5XP5QrGZmZVMlq0jtpbPaGVnZVPFqAeDat9dtb/7MTkKMIwClHKxNCbAdACeyLC/FXiFRGiE4gTTbdF6mGbnJbou/yb64PDLauvm4JrIa71eGuZcuX6KB/ipWrKiaOudRPhk8cAAuXrqMn34hrhQ6QSWKJ2DMx25fwbYkq6sytKfitpeR3vsAK7/dgDtTtBHDpi+sWLcB782cg3FvTfUCskV718kqad1C9rhN+VSAaQKiedXza6sm5Gz5+OhHseDLL5GUdIvKeauWL0WZcuVNvMCBdZe+A1C/WSsGsqV4HybgFploHAgKCcbfX88240VpEciZpZgJvoUZeaGanVA9j/NC3oH2nQiI5qWITlq3bl1UrlwFy5YsMbd7aM5Xr16lDMR/UURTbtmsKTIzMmkgI9ti9wDGNmkAMPJZ8wN0AC6Ba9Pvjwl1dWtURVZ2Djq3bmrDsKgm4dYIutp4YQw2HjSDvPTs2QPr1q01I0RLZr0iCJoJitjfWRnp2LBuDfoMGMTyaUsgm/1tdiQBtoVZoK1/NoDv16+nAbVIpFvTF8QKsIVGzuGfd4GI+Wmzwad/i/pY89sezxOCpD205jcWA5TEbFtAlQm26letgKrlSmHhuk02oJybkIvgahaApvvS5E1bnJ/SqklD6ldeo2ol7YXYserq9pLx8Xj88ccxbtw4w8RUZ7VVRlsH26zd1KxVh7KeLdp2UHIGi0pAdcUq1VCtfiN8/NxDcOZkqYy2xGZTn2xqRi6Zlku+3YaftgiGxs2VnG4XPn35aWSkJJkDv9Z+09PSsG7NKqpYPHBgP2oQ0KtElpdANI9me/BUAqqWsJoqGuli5PZmYXRA074ECrcgEgitauU8f+NwXwOiWQC1GGbU4HZKej4JWJsgmzOOteuiXMXK+O7rZUq2AzvmxEecrQl3apRlErTzw+nT8eDIkbh0+bIt2NbHVwK2BeBu1awJ7wuVTeWm4q6jx9Lwo5kGIiPCsOf4WQqyQdIQOiWwLYAtZ7LJ334CbAf4oVHpori3VgWM2bYbN105qBFXiDJVLYoXMYCznZm4J7abXPNaVhbe2vEP3unQGMHEZJz+th2jbUZEp69QnjskNEhMRQ/s/0fpx2Re2PL9WnS5ayj6DH/YyCJABSWuvBKsdnjRUji8dDJ/7aZyV4sDKoUlsU/tBbn9OB2oGh+Z576QnJKCP//8E717987zubZNUO6zMlo1sB5rozXr1EWFSpWpEKpHCTdO4ebAlxIS0Kh1BzMYthQEzQC7Gqut5sbWmWzPygD9ucSxleo1RnZmJkpUYOONAra1VF7yTn0M8/wO+dtzA7UaNKGBDfUzq9asjeysLLRs18HYpos8RoslgIPqM+WryNoEc+4yU3upMVFYxPFUxIaFGGy28TzSZV3aeJXpdmFPVjLq+YcrbDYpAXAgm54hF/kY44uhBIJx1k2Atk2EeYvfNgPcgvWOre17IDSFmNPESU/jMXm3sz/5BA899JA17ZT2unMr9erUQZXKlbBo6XLlndgXDyy0T2DbAxnmsdhoogwZKQs1qsgyUkEVm45pOcTN8UIWOrdu7hlkK51e1+RZLUUV4O02GW0TiOeo+bX14GhulvKLsNXjnn8O7739NjLSmYx0192DWMwbI7CyA6EhITjw1x/Y9/tWDrCdCqstLKLIMjwiCrHlqyLxzCE1ArkEqq3m4yTeiQMNqviWT/7/DNAWhQwuRPhcu2Y1kpKICZB9uXjxImJjWaCqf7+YHbZvrx7YsHo5quXacTSkratSFRAtHWMIaFYGRQh/lcqXxfr5H6NXp7ZaLlc5V7YWmMf4cS36ogQUlYlG0XIx/5izZ88iMSnR0ANYzXrNxPPk780b1iM5KRH9Bgw0GT4t+qyc/khntJXr03txYfbsT/Hogw/wzquCTBlg0+oXkKdAaKI4o0mqD1YqxMfi5IWrLE+spsG2Z7HtgKbLBnzbDUxuDOnWDqs2bUNiUpIBrmVzYlWbqIJ5i3+2mNDsAK+vM5ssQWnn9uveCT8sm49qFSvYXNLGfFyzPujWpRNKlSxB09pQPx1NeWMHtg1XAt5eylWoiE8Xf224JlChnQdJM4R3Ev2+fVeMn/El0hNvYPGUV5GVmiRFLTd9vE0TcwbSZZ9symQL32wJzH87bwY69B2EuLhikkuE2dZJX/nx+++oWeegQYNw8OAhDrR16wfhn80mp51HTqJBhZKSKbkNwFY+rdqHMyXT8bDy5fMUCE0G2rmm+JI9tnWwLYEdM3o4NyWXvrEcOE24jvToPxCb1q9DanKSYSZujmScSfUkPCstUQsiZQxrKtgmbMuUKVPw4IMP4lbiLQvYNllsWZnJ1um88M0SVKvCgLaMBN0SuBaxNJh5uD9efXgoXvx0KVIyXRxgB7AaEMDZ5ABWAwOoD7WT+lMT32vydwBaVyiJZ5vVwrjtuylInt2xKdqXKa4BaSm6uBxZXAPZFzMzMG7bbrzRtgGKRoWZLLoMsAnTLikFbqWkIzw0RGLpzLdMtlSvVpWmwmLKFvZtt/34PTX37dz3biyf9T5uXjxnmo9zgYlFjXUiMDAAoTHFcO3AdpXZ1vJmi2qb4ku0Fz41VowLz1MgNFFu3bqFKVOn+mh2Kr0NfWoQrdIHNlu0TcJqb/huLZKSk5R9zPeatfDExJtYtWiuymZreNEC8O9Aqd+2K56dtRjFy1Wy/SUhP4hxQmz0EmVBO19YUQAr5n5C03zpZ5YpX8GYF0SRFROei4iaL84QzDS/cU3hSZXofJlwIxHxkaHSXG+9OjEbzzbcpRzYm52MdLhQ3z9CUk6ySlJ9kRza9ioItyLL+dNRmAF3Q6HCj7KYkhvB0IDoapUQlIdAaDJesMWw8jrvliSI8b59+2hKRfPe7QC3PSOrXN/hwJCBd2P1um+teCEvZuR5KvnvL0RG2rh0LqpVqqBd73arp9uyynckk8F3Cz5heMHT8xlChHQNW/nSprrstkvynpI9R4BtwX670LZVS1y5chlffD6bykh3DRykuN0J4qJp63ZY+9XnhsupwmhLzDapjQeNQnSJckoKMCXll25K7udA5eJReZ4X8mU6Th7svyhD7hlKfZ8XLfzK4zE//vgjOnbsiP+u+OqjoZ5jmmXLrLV0IQvYlkG2d8Bt7JerYFv031PAtlz06Ogq2Ja1XsOHDcNCEsRKBEVT/GZNRluAoQVffIrGzZrToHfMDET4bmtVypMtB1QzQTa7jzVr1qBd2zaIJLnCNWZYj3pIA/AE5S8VnDMiGo5QYULiRsMqZbHz8El7UK1Ff5YHLQWQ83szg5rJf4tgZzm4t0d7ZGRlYcGajbZRx62DmY2Jj0V5ot9vXucOdjATQORqPc48xhRKTHCt/+3Cc2PH4NTpU1i8aJGkvLH3z/ZoRi6n/JKCpDGQLRgyB0KDA1E8vgSad+yOmeNGISMpkQVikllwAbLlCOOEwaZMtgqyHTlZ2P/rZvS7bxTadO+rgmzFbByYP+dTNGvegiqsjhw5gqqVuaLOUMRILgZ8Itp5+BQaViihsNjyuxXMicm2KJ+LMdo8j3ZM65b56guU8Sc5lW0YadNEXDaWsYs6rgnXskKFC5xGdHKJBe89YDD191y9fLFxrgK2NXCtT19Gl9SWtmCb16pVq+GVV17B/fc/gLT0dBVsW3Jpy2MtjzouRyA3ALcf3Aqb7c+UgP4BKBoXg+eH98dznywG/AMAf+JgzQF3QAAcgQRk+8OPgF4KmAPg5CBbLKsXL4JZPVvh29MJeHfXfiSTXKJKQDSribgMvAnIPpuWhom/7sWkDo1QIbawyqYHSH7Zkg85MYP/4+BxNK5JlAvWeYVUEt+DmOaawQ0dWDr/c9Rt3AxlK1RE/Wat8dembw0WW1iliFgLhLmo0OkeBilkU3EbwO0p3Zfc8EjLal2taL76QtmyZWn1tSjtT2mGGnDyggBFu+w3aAgyMzLwzZLFZm5sAaT4qVs3fo/mHboal1JzU2tm2neoqI+SO2hiS9+JQ328uX71MqJj43y/P58e3hxThfyTkpqGsGAzP7YKuJkSNOFWMoqFhyoBKvVXEOJ0Io0o1fmz/JxxExX8QlDUL8gYF4XYRuY1Ff7IF2P7ZPUWCZx2DukayNaijGvbKnRrj/wUajpuCVRpX15//XU6piruJZoiQwbZuUXnHjp4EMULXy1eqrwPk4XWSK58ye7yfXLZp0B6jy5r57Pm1pA1pbtvtyZr5mTZUY0d4yleEOz+lsgVhwVwmxHLX3vlZXwwdSqaNW+OSpUqGhhCzjJDrJlbd+2J7Mx0A2QrgdGIFRSR95xOmlf7728+xa2TB9QI5IbJuFNhs8mybc28zwv5oqdJgJ7/opBI4r1798Enn8yiEUztysaNG9Ghg2kGRAoZUBYvWYrffpciQ9/Rkr8Oq4BtQ7OuDgxWZtsD4BZMuGJSLgFxORiPcr/S7GTci3KXysJuEEy4kIBZM2ciKyvTiBoss9kUJHMf7f37/sYfv/2Khx4dzU3GzU4jdw7V50IF60YAHICaon366acY9dADluBRBnCT82eT7cHE7yp/xVm0nPEaejetjdW/7lVYXQuINsCOPRjXNX8G4BaDDwdXpeJi0LddM8xYshYuEvDDGNCkXNlSiidRSb9ZtP4n/Lr3oPTdxKeU71X5yFoTsFO46EvLSWp7sZsQdEZdUoyQbzt18mT8tHkz1qxapbHaPjLbinaTCeiyr7YJvNmyTpMWmPjJIhSKisKMsSPx87K5yE5PMoKlKYy2CJ6m7ftm1iS8NKgTnG4CJsKYqauiXTWVBqIvPDp6NL1vYoIaQZRF+jvi7UG0jYRrtxBfONJgs+X2JYNsOfiO/Amz3G76PkiJad0K+S1RIYGeI44bbLUsAKtgWwS2E/tlgC2PITLrSZbFS5ZEx+698NWc2fR9eAbbKhdG3gfxh9/5x+9SS9SCL0mysN5fGjRqhCeefBL3338//Va66w4D0PIYK4NqbjbObZkpm033+cHtkHyxOaAm4LpjswaIiy6MRZv+gIMDcFINNjtAgG3BbAcYjDZdBgUgMiwYb3dqgh6VS+PZbbuw+kwC9d02mW1/xQ+bAuhAP6QDWHzsNN7a+Q+mdGqCUtFRprm4wWhLrDZls81Ukr/sOYRL127ivS+Y65cyFPBZxt/fnwYvIt/14L692PXHbxgy4hHaTxo0a4XCMbFMOOJ9VfbTJkxEYEgICpericu7NhpzgpmqRbfq103G5TgBrOG0reY7MPOW5ivXIk2p5ivRc1l7qqppePH4kujcoxcWzPkEOdQ/mINnqS2379EHbbv3UUdklxs/rVuJQ7t3KvEcvIng6r68AwtdkSWKbFmgSUSqW4gH0CafK46/59GnaMT6/CMp/eZNsGc8DNy4cuMGihSKtIzZhpURGa9vJmNvwlXM/lMOfqW+vxCnH9K4jHsqOx1HstPQPqiQkcZSB63h8EMSss13p7wP9dqlEILT7jTp/ZuKFgvg5n9X7JE/oE0KDUbrqfBb3bljB41nUKtWLe0AXb60fybLNR1AqVIl0LdXT3w8+1OPeMGukLexePlK/PbHTp/PUe63IDVUuZqz5FJzu3Ze70UeNTRZzSCFPFWXxnhzOXfmgmWYNPML02RcYriV9F9w4eaN6zRQbOfOXSQsYeICYS7eY8AQ/LphncVP2wTbojpRt9dwHFr/pUKAsCBopim5qMSkvF31fwloB5AJNI/FV4MMyyBqDLZs+Bj12GM4fuwYfty40cJQJCYm0mifun/26dOnMeeLL/DC+PH4T4qFrdbWJTBtgG0FTGvgWQbb2vkqcJYBNxPsREY9db9+b6TreGC35UlRB1y843355QI6sL379ls2ab5UkDxn9kyULFUK3Xv0lEzDRYewYbQVEG4GR+MJdfDBhx9gxP33ISwkRGFEFfNxCchS/8GAvEUQlItfMZO5qFu+JP4+cc4afdx2QFJBtQmodV8WM4WTMUjxfU8M7IljZxOw4be/PA9uRmX+36cuXMLnqzZi3HRmOqgCa+WmVQ2yzMorg6zUHlTUbjPiS5OmMOE3wLVLMyHnPIzEbJNv/cnMGVi1ahVWr17lkxm5bDmhBM8T6eFs8myLSv6mgc2C/DHugzkoGl8CW1cuxI2EM/hx4WycO/Q3CTBggOoAB+jyzP7dWDN7Cn5dtwx//fQ9goKD0aB5a3Zd/lvCzEm29JhL+kLJUujRoyfVxBNzWPpOPEaLdyE9IwMhAf42gc+spuOelCdZlNF2ICA6GpE18u6HJ0pUSC5+2kJINMCyANIyA2WmAtMBtg6yjf0Aho18FKdPHMe2nzapQrmm85Sf/uzp01gwbw5encDnBVmGsGvFgv2TwHfbtu3w2BNPYOCgQTh58qTVjFyE7dORHrwx28KM3N9ktUn6Qf8AvPzIUKzevgt/HjtLMyUQNhtkKQNubj5OgLVTBtvSepOy8ZjTqzVloMdu343xf/yNzRev4GhKCq7n5CDTz4ETqWnYmHAJ7+06iLFbdyE2IgxzerdGscKRFNCT36Jm6qKKYGg8QBthtIXp+K6jp/D9b7uw4octSEnjWTCkqY58qxIlSuBiQgL9vvM+m4X4EqXQvmsP2leCAgNQuUZtXE84zRRhUso8MwK5E6GFi1CgnZOezAQj2QRQYrh10wmF4XYCRSKCUDOPEcfl4ifJSMoIKOMym79N+KzJ7MaUK7PPEjiS2OthD40y+oIKyN1ITUnB9DcmICiIsK7m/V46fwbfL1uAue+/7tsDSiKAXXRxY583w6ZcipD7PO003UJUFwD9FGLtcmTfHumT5w1s5+Xek1PTEREW4vWYC4kp2HoqAeuPnUUqyRyivTxyjxF+/kh259BxbkPadcQ4/VEvgJmNy+OhqGUQglNIM+9ZaXcOSX0DGnn8BgmfxttOjg2TLZ8fElcE8Q3rIL/FX/QFD3NCVlYWXnvtNcpmKzJAvhCryp0/NuoRHDt+Ahs3bfb5CqfOnMHn8xbghYmv4t8o9vmt70TxFYHn55J2A4A8CLhMEG6knGXy7Zylq7By/SakpKTYWGMy+Vew3B/PnIX4+Hj8uXOHJNdJrLbIUORw4ODuHTh7/LAUC8fMqS3mC0K2FIotirp9RjCij29ngdHMAGkUdPs5EBcVnK95wT8/7zYvftpmF/ftWHgB2eS/pk2bol69evjwgw/QpUsXxSxw1TffoH///pbrktQhnTp2ROVKeQ/yU2CF3ChtjPyh9HW6nxzopoDYwXfTbcZLFOo8krqLLEgD5jul84114yK8GH+6PYBsWRCUtsugXroYGSDk/NDkfkhHmjr5PaSkpWPBV1/h4P79qF6jhmHkIzNGJC/lNyuWY/zEl6kgxcYbGn2B91F7ywBZaDdT/7hx8vgJ7Nq1C+OeeZLm4rOCbInF5oObI4gFF8lvcUaXAAKCKOAi12ldqxK2/HMU7eqKIHhMCBGgkrwvtk4GHG6EQGY32qW4EsTNWRZb4cUEq01rVqKB0aZ9tQpdm9bzfqP8EcsUjUWnJnVRpUwJ43rs+bW2Ytw7S5dG2xJ7ELPNiXuxMwcVx/BzWVvhNyI1bvJtGBghhSko2B7+YsgLok2C+ZSR3NOff/oJHnpkFM2L2q9/f+51xn9XGXHM53LYbXOS3xdpo8gA7YZfjht+DjeyHSTnL+B0OeHnciMgOBCtuvSkqWgyMjNQsXot/PPrTwgPD8c/v2/Fvj+2IigkFE9NmokTf+9Ek3adUbFmHZQpW56aMJFgViIwhzB1NZREDuDShfNY8/UKvDjhZQQE+OPw/kOoUqmS0W4E2DZBNFO4HDydgKol44zUbTqTLeeY9SQxkqA3ZBKKbtE8X7EKRAkP9KcTGrmeXTGGJVOc4l+af11zeDOWCuvNmW+D2ZbwUv1GTVGjdl3Mmfkh2nbsJOVvtg5hYugtUao02rbviIqVK2uvhflGysOlW2lifAPf1qJFS8ycOQuPPTYa455/nmZeYF2KAGfyZDIPxxPVGWbmYpzmSyenkMi7Iu1TGmfJMiDYjc8mPomB497BnHEPoUThCOnG3NRygl2Lm9zK/smGlO6kQcqC/ZwYXLcyBtWqiIuJKfjp1AUcOncJ19IzkJSRhVKRYagYHYm7a1ZAtbjCTClJBA4R8EyYqYtI4zz4moOakDOgTepvB0+gWa2q6NC8EdJdQFhYqBSdVzQONk+fP3eGKhnWfr0CT78wgQbBcWcTiwsmQP2w/Ev0f3ICAnM4yM5my8xsJ7JdbvgH+KFC9weRdPJvRNdowd6jQKB86DG+tfjDaCjmGNiqaiwF5rfLaCuqx1xBtvS3B2WPOE/MpZrBEm0n9Ro2oX1h7qzpaN6OudGJoXrntp9RtlIVi7gdF18K9Vu0RXy5irk+mxqoTMqvrT2r7jFMxlpfMK5QxLE/bPYr4NpKzuh/H93/N27duG6IO2LMyP058w5JiOIzmCpIPV+U9LVX2jVEVkYWQogVRxYDvXKJ8vfHlYwMXMvJxvaMRAwILYIAMrZyFzkRj0ZUArT/xmXUQgQfbfT5XF2PgD9uurMQ7Sb3yo8m13STazP5kpxCwHfFLm1va14QfcHulZM5fPyLL2LYsGGUIFOjW+f1l6y/0KxJY9SvWwdTp89Al06+uZSWKVUKndq3RZVKufeF/zsg+zaYbO8Xswfwxjc05VVDVuSEn8PFBuRp459EWmY2wkJI4GIuExK5kxNQDgex3nPifMJZLFuxEq9MeAkJly7hzz/+QL3GTeBHpkxCnLgJwAZyOIEycMQofL96OQaNfs5gsnP8iHxC5DA2pzDg7UZsuSr4dcE01Br0NHJcTuTQGDfiCUVoQidaVonL17yQL6BNBkIi8JKI1j4d70EM9nq8DrKN7Q489/zzuGfIEGzdugWtW7c29q9btw7z5s2z7egkYp0nRsenB3Dn/QA5mBgDK2LW9wC8bcE2P87BWVIJL8in6+eb6x5u05Zll+5b91/x2rZEZ2LLli2aU4BUu3YtPDBiBN6fMhXVq1WnsqkJuIEP3p+MsPBwjBjxIAUcDGCz+xaYzO61i4lSZjOJ3/K4F17A++++zfNoe4rczffxd+YIyXuAD+VeCGCKK42c80fp30PaNcLrC781gbbR6FXTcdmcl74Rcq+U0WLfjioZbF+1eQ1yxAvD+2Hg+Pfxy1/70Ka+lzyXXMghg8QL9w8wryWal0fJQxowOdgm/wxFgMMGcHMlkNH+5TYpD7r0BfJ140Prg7YOtkkQJH98/ulsPDr6MWRlZmLQ4CFa+7QH2+wvAXu4Lyd59VTAIKDabFsk7y8ROgjoznG6QYwUqMbf6UaAXwgatmiDBi3a0EcvX7kKeg8faQh/dz/4mAEI6zdpbhOMg/gHmTm0yf6Z06YgLCwc948YQe9h119/oU6tmqoULfcz3p7/OXUeNUoX49SWynybp0jCi823ZcOMAzGt8uefbbx1hwORIQG4mZbl+RihLOJDClF5sbYsFDDiOBVgU8AopXMT/d8A405g1NPP4vER92LHr1vRrAWbF+QRWDQD0RrIvPDU2OeMtky7iDiG35MCsJXmJKFvYqZYujSWLFmKRx5+iJq29evb1zBXNysXVlWczgA1Vba5TeUb/RGTFSUKF9qj3EDhwoUw88XRePi9T7B44mOIDA5UvjMlbJ0OuATQ5i/b9F0mjDkDzaS6c1yIj4nEPYW0sVAC6dRXjVdhGk5ANTNTZ4HXGJvNgrMZbLafP776YTueGX4XqlauCASGSC5O5mBOFiVLlEDC+fNYsWIFzXM65L4RiuVS5eo1Me+Dk/CDm1mcEIBNLEmyHQj0dyDb5UCWnxMxFWsiPSkRF/5Yh+JNeykssK7kZp+QfVxZ4di6av78s81XR5gQP2ST+Bk+g2yTyTa3mMOjGhVcA9ySLzZ5nw8/NRZPPTgMO7dvQ32S2orvI9ZWLTp2tYwHpC8MfORpFm2a57X2WDSXCltFge1prOHbTzVifBbvTwXMqhAo/6kHtNPDHwJnTxxDzfqNjWOFgOmruJwXiTE9IwvBJFe8fL7xEdl8n5adjZZliyMrJQPZqcRXWvslBxDp748TqalYmXoZwQ4nOgizcUEwkNzZku6MKDhLuYNxFmk0hZd697oEzs3HkY7CCODjMRsDyVwoZEkuiqByT9UVM199wd8PLt4XxN1cuXKFZhTp1asXzTevgs48yukePib5yuOeHYNB996HX7ZuQxsf5jjSF14Y+zS/Dfd/ALL/beSdnyLJWOZApL4ui7xLihD0TdfV1g1qMzcjQ0bnA7NsgerIwaRp02l6vZEPDEdKRjaefPoZLFi8lLZZUkl/YICbyVTlK1XGkIefQCrJ8hISjmwic7kdyFFMxx3wz3HQPuvOzkLi2SMIK1GJgm1mBcrmPlLIKNumSv4CbTtv2xykAIqugbQD2XJH6tWrN+rUqYM333jDMLshvl1EOxZG8xwWZOF353FUlmgVXYPo7RxPYDdXM3I1YrjQDin+gDbB0VTGWgqOZmGv9XsyH8L06ZaLJwHejeLFimH+vHl4cdw4/Prbr4o2+dzZM/hy/jw8/fQz1AdWRA8UZr3MV5tpqCzVCIrGtLuJN29g9KjR6NWjG8qXKSUFUhBstgayxd/kcYJuD2grftpkAouNRmJqOq4lJtsfLA8+xuSr3qMlcqONj7bY17tVQ9StXBavf75UCp6mD27657JRCuXXvk+/tjrS8mfU3r0MpgXbb4qgXNWj5WgUygX+3MS8Z/asj/HzLz/TdpSbGTkT1qUc7ka0bzPVnBEoTfHdliKM2/xtLOVjbCKTm9HNefAmnleb3MeFc2ew5Kv5eOyppxEVGUmf8fsNG9CxXRtZfFaFEP5uzl2+jjJFoni+dDPgjhkQzfweKmbXBO2gIBRu0hi3WyKD/fPEWLHxQPapl4LciWO1qOOKqbkEyDt174nqtWrjw0lvW/PSCqWCVTZQGDoRMMrYrqQ50gGGmoOYgMO58+Zjw4YN+OzzzxWfbXN8NnNMWc3GmT8z9dHmfto0OBpZ5+ywCIBWqVxpvP7oUNz3zmykZbvgCAiUahBdOgN5pf7ZgdxPOxD+wYHwI1VbN4+RTM25ubkIqKaboJuMNjNbp4HZuEk7YbXPX7+FG0kpqFK+LDeFJ8/Efbfpc/Lgcdz1KyMjEwu/nI9RT7K+QKwdSB8VfWXC9LkUaAv/bGY+7ser2ceCwyNw6/heJJ89JCkYZBNxeWpU82iTWAtNy8fcdl+wY7Xtizz+mVvEigq2xRRhz2aL9fZde9LUVTOnvA0XZYjY+bHF41E0viT+p4osQunKMQV0azEe7NhsWczhGzv2HoCGLVr7dCuq8kCdD8n3NHx9HTaZWaiZeiZti+qH4WMyH59FBHIlBSOtZlMgVkHprhxsTLmBvqExCCX9XyIYFHmJr9dAOEiIQxuJ2rIejyCcJ37auhKH/y3MyP2Cg1Ghw+0pYEkRMUCEopXEUho+fDjGjx+Pe++912elR35K7549ULd2Lbz+9ru2udRvr5iziBos+HauZ7d+u9eUJr78FgMPeMI8ViLJXgZ1m3IdlVusgdNEOl4h7505cxZzv1qMsU+MQmREOIrFxaJUqZLYs+svU3bgcTmEKTmZM04d2o8Vn003fbQN91QWEI0x2qzW6/sA0q9dNGJ+0JRfwk/b6aBuhI3zOS/kG2gTRrsgii/m4rqfHZkMJ0yciO3bt2PzZuZ7cfjwYVSrVs32uvm/MW3AyhU422zP7UZ8Ats2pt0KeM4FcMvA3nK++ttWNlt7RmVdm/2N6JtimwtF4+KwaNEiTP/wQ8ye/QmSkhJpx3jv3XcQVagQHnnkEclvW/altUnvpaVDIiB71ddf45577sHwoUNw/7ChSgA027ReMiMcGHZbJlGi+MWVETQULQNa1cfa3/+2OdLUauuA2JLzWonWmGMJgCVHJX95xN3YtvcgNu0kv6kDWRnAmvfgeUC/XaRt/obyvhWgbMPS0tPUd5Ib2CZtYdaMj/DXrr8w5/PPPUYjN1PAqcBa8dvmPtssIrkIiMbSeTFwTVgzEzgb4NrPwzYBAqRjjKBrcn54J/DRlPcQGRWFkQ89TNv0rZs3aHsoHBVp/574Oybt6OL1RBSNCufCmynQiXZmCODG9zHZbnkOLNSwARWqbrdEEFCm8bh6JUUJjKaAbRlQ6z73Zt5ttlRBN9n/9LiXsPP3X7F9y0/mmzL0FMpbMNcN0KwBaU+A23KMuc8/IID6kZ04eZLm26bqn1zBtgaqOeNsBEcz0n35G77axC+7ce0aeGZoXzzw7mfIJHpDCWSbQFsLjCZXAbYFwA7mgFw6lqUJk6KX24Bu5p/NwDbzGQ+gfuWkTlnyHZ6/f4AaHM2iZGAtg6SF/P777xAVFYUHHnzY+M4CUFDTv+xMzHzpcaYIE/1L9tXmOVKJfFJt4DNIOnvIDIgmGH6RR1sAcA1sE2EqOPD25RvCaHvQa1qKofuSjlVVj6yBKYohvi7hM/NYhwOjnx1PA8r9vuVno+3PnzEF/2tFV7rJO8xxQ0vB5oXNNgE5s5aZOPq+/MmD2ncLCQ1Famqq54PdbmRmZ7EYRsb4y8djDqavp6ShUEiQAq4VsM3HmRRXDvalpyDM6UTXkGjlHenyklAwhzj8EI0AXCQRxS0zhjp3BIEEOHQZvv0y2JYDopVr2wyBod59zn3tC+Tef/vtNwwYMADbtm3D0qVLKWF2J0E2eDt4efwL2P7b79j08y8F/wN3goC+XdLDvJB0vQK6UQMbKRu039HMXizPJcl1PqQDe3vaRygUGYlHR9zHIpDDhScffxyfzJppeEUJ8s0gTRwO1GvcDOeOH0HqrRtKUDQ5zRdz5XMgulgJFCpeCskJx3lkch4Yjcf6aFQ2mmaZyU/Jl+m4aRrltAZ+yu/1PDDZnjph167dqL/2iy++iLa//ordu3dT3+0C7bQGnpTMJIx9khm4cbBbBaFiO/Vdlv1ElYvnzYxczLaGSbn0c3xdnG57O7bP6YVht30hsDERljqXMAHl908iJy/8agGWr1iBhx96COnp6TQNG8kVvHnTjwgICKABMYg2mCyFdQIZ+MkALQQlok0mPrIkV/qhgwdpvtImjRth1cplCKYBoSTW1zZ1gAw+idm48G+8vUKEW2dMPFxXz9G/OzeogVHTF+L+zsxHUH5f5vfVARQ3FxemnvJp8sBkU7o1rYumNStj3IwF+GPOOzR6r+0nE+cbZt8qdcI2yT7UNm3IuJ5539rDme1TbBf371DNYNnfnNWm7Vy7T3pF3YebihrGdqfDiQ+nTsXY55/H7Fmz8Oio0cozk+dhrkCslZIhmrRZahZH/YCYnzb9m/tsu4SrLF1n/stmFFaxzl0gRL81xjABBkWueD3/uxlxn4DsQ//sw7JFX+H1t99BZATxr3Nh+bJl6N2ju0VRZLwbaRK+dDMRcZFh1OzJiDiu5dA2Po+HZkS+RXTL22ctSCHPGRroh5RMz25FxtDExzDRHGV3CRmAG8K2ByZbHrbadeqK+o2a4O1XXsLaTVtpX5CHQmZ+zc2GdW8bPha7PQzj6tirN31mFsvu3YE333wLY8c8g8VLlmAIMYvkYyI7jQdl4GEIlEtJTBxdJw2RHsEneIJTpY/Zrkl9pGdm4p43ZmLOCw8hipitcgDpzmapOOnYSbcR0+8cuP1y6NKZkwMXNx13uvzoUklBKIApqSLNCVlK+bJZ1HE/ic3my4AAHE24gss3E9GgVjUeFI0x2qKyAJ0CeDuwZ88ebNq0ifYF4lKU6WJtQ2SWIH0mMjwCwcEhSLx6CUGFYxHg72D+2jlOZOc4kZXjRo4fa/8hEVEo06Y/Dq34CKU6DEFAOAEsfL6i/vDEI8vwvTI+dKt8mgda2jkdC5yUUZZ/QV1q/VMrxtAvK4U0BlvW/sj7W3fsgjoNG+ODNydi/rc/weH0Z8pZ3r48ygRqh/HwbKqcYScJ+fSO+P924oYpE+oBE31js0k9f+oESpYt79O9KFCUd2d5G7GWpJkgiC8pz9qiDxNZWTmchJJkDToeM1nk2KXrKF84UlOYu+HOUVMzHklLxcH0FDwYVZym+sogfUFSVhqstvDXJs3Z4UAddwS24AY6Q1aa2k/iUQjATWQzP2157jUGRaBar44F1hdeffVVGqz4k1mzEBcn+pjeUmxaTgHgw25dOqNpk8Z44aWX8fuWzd4zJ0kyke1N6HNqQSPt2wbEdwL5Q8In4jckgtHuM3p6Djef9JTDpTgmtP1xH223C3v/2Y/5S1Zi8msvIZzE9+AkTtnSpZCTnUUDaMYVjzdANnH183Nxy1i3A0+/NgnBYWFwE0UtMR132QFuJ/xdboQXKoxfPn0TzZ94n27LcRNTdPKfEy0rqUG281Jui84LlAX6PBQLu8H/8wUky4zI+1Om4MD+/fjss89oztkqVark807yWjSGWN5uXNK63TQl9HAt41h5G1t357JfXzcii3tiwm1Myu19s+3ekS6tq71GCWjB14lf7T2DB2Pp4kW4fv06jTDbpXMnmnj+0qWLSE5Koh0wJCgI0YWiqGlIfLE4FIkujKiICESGhyOmcGHEFYlBh7ZtMOPDaVj99XK8NO5ZpmWi4JokthfpATyZj4sUX5ByYN9+8SthBtqL4lFHbySTKIoSiy1p+VRWW5WgrKy1XT5s8x2TvjDtqfux/+RZzF610aLLzlvR7kcZL3VtpYcqHWuaU8kAUbsGXSffSfytajZFDkVbX3u3iw6wJADf+fPn8N57k9g2D+m/THbb1H4qlhTcbUGwzUbObZ53m5mVm+y0zGRTxpvvZ0txHlmCsdh+bEn+Jr85cdyzqFS5Mh566BH622dOnsD677/HoLv68pyS0rOLCPUS9UV8QBmDglzSxnluEoF+/ijSlpipF0wpHBrofbjRxnHxtzXvtp4OTAXZ8oXk6738zmQcOXgAX839XLQ8BQzokcPl12NhtnWAw5Ur1m1iOwc/Dgcmvz8FP/ywEavXrPHdjJyajvPtkhm5yWqzaOTMB5qxx91aNcWLIwZi8KszcOrqLcpmi0jkDPia7DZjoDkzrbDc3IScVmFqTthulQU3cnNL13IqZuvkdwORkpWDp6Z/iSnPPsxYeFoZ2HYrgJuB7LT0DOzcuROVKlfB/Q8+bPlmoj2QttH3/kdov2CpvlRWmwBvUllEWWYSWKpVbxxY8AayU2+ZObV5HjnFfBysP7ermv+0XnoRAr0Cro3nUqC2sa7L70Z7lS0vPFS5kGd6/vX3cPzwQXy94Au67eFnJxhvVDHJVgCqFh/B5rrsCvp1tOO8yFaymOSzBMb7vri2PTiX2GxiPhoQgI69rAFy81NIejBCBHgrGZlZCCZpxKQBwjQRd2Hf+SuoHleYKbVy3HARgE3WCYnAt+Vku7D2xmXEBwSha1i0Muawh5QzN0jWfyRaucMfkfBDAk3I570UQxAuIMM63vHf8gsOQo2+XVBQhQDtSZMmSSBbb8CyrCCWunoqf4XKSJPewf6DB/HpnLkejtLlE6HU9HQ/tyNn3Yni4X4Kism2K7YWt8ZO8/fdkmxrsfbgJuRchjeJBXb8UxPeQpWK5fHofZLFKq/3DB6ClcuXKhZvctYiIr+VKFmaZlPISku1sNnCbFyw2lFFiqJopdpIu3TaZLtJ9pkAP7SqmH+gnW9GmxSiuUvPyKv20qr9VAdb+2HXbithsEeMGEET3bds2RLly/umuWQXlFWxedHBynfk9rzdsltmtgUDYnNPuTLbnvfr60b/sgD/XJ5L6TyCXbE7XwxGTABQOrrCvovO7sCSJUvw119/Yf26dWhrCPdCorAZaOX94g7FvpxsA6SZie6tIE0GZ2KwdIYWYsJqAQLtrAPbafRxcv0+zepg9fbduL9LC+kx+O8b0W7lQZyzLN4GRbv2wl9wvcpl8WCv9nhtzjIMaN8URaPzn5pGFW/le+f76ETMmGHTgkGjQTjYMM+R71ew2tJv0V2EbyY6er0wJpswkYw0NEO1i2jkZCJ9643XMWXahxg7ZgzemzwZfv4BvBkJtpzxWeIHySZ+NpsfSLsgjDW9Hl8XpIQxX7BfZK9DjWUulqbgLpu+mr7i4u9vlpMczr9h1dpvERwUQNvzM2PHYMaUyXTQR7Y08Sgp3jTgbChuNOFOB4EemlezRo0QEFVwSqeokABcTEz3Hn1cMsaxk5hNUG0eooMARa9JCmWh3KhZuy4GD3sA0959Cz363oXY2FijuwnGWARmkuceY8gxIqJJNyP9hjL2GifyU7hwxgK0+WHW7Nl48IH7ERwcjC6dO/vAbLP+RGOx8yjkdDvZL4KUU+wmeYc6gMZ1auDTCU/gkbdmYMJ9/dC8WjmLhoMGQcvJZgHQsnkgtGynAQKYUk9YaYj3zjQflA3nS8Fm06jiIpUXB/QEZBNA/dTUOXjpwUGIL16MKgPIsW6qHBBstuqn/fIrE3Hz5k18sWAh/P0DkEXuybZNOGjE//UrFqNJ9wHcT9uNLBeLPE5Ad7afm8lu3PIkKr4cqg9+Dv4Bgci4dQVBUUTQlwJj0U/NGmSH6kURFaoGs7qdQmLZZCDLFmQrU5xW7AC0otyx6c9cNFWuU61WHfS75z7MnvoO2vXoh5SkROzd8StqN2ouKbO4hY/4m1v/eJOLDJGCPg+bC+R7MYd+ecy1XsTXkGR2CgH1h9QxQ9SrFxNQsZqXIKF5KMQ6JiebyByeC7EuMaKOSwp1wVz/nXAFnZvW4kDbBNsMcLPld9cuIzEnB8/HlAExuM6mmTnUd2FnRk5nTzIWuAvhW1xGDOIQZKsCYSNNUQRijzsR1Rzh6thG192oPaAHwmIKo6AKGQMz0iUFgO38UPAgW5R6devgwfuH47W33sGA/n0QFxubf5BdsLdWAEWXof/FQscB0xqTWWa6tdty28j14hASgVzCOOQPYqLhdmPRqm/x65+7sWHpXAQE+ElEApPnO7RvixmzZuGJp8dwC0ImIhnpvlwsUGCdRs2wedUSdL1nBA2KJhhtAqRJEE0SEI0CbpcbDe8aiYunjsLpcjF3JacDbSrEULnmP2G0afRxYrKb1/NsNZqe9KfeyyuvvkrNi0lap7wHQvNkIu3tePk2ZTZZO85Y6gyxEJG07aIWGLOdC4vtjW5SHkG+Nt9mGXjkwoGUsd/UZl29cgUvjn8J/fr2Qds2rWwiggvAzBhpWl1aJeDaJVUiOIpE94LV5oCbBVTQrs1Tezki8q+dsitEkPQrJVJ6AT0a18Ka3/aa70BOhSaz3IpPittzla6jVOkTvDZyIPycTjz30YI83rwOJuTr6t/YV1bb7YXVZvtYG7FJvWb4Y+t+OyaLbe5X/b7HPvM0WrVsgXuHDsWNa1cZYLYw22ZaLdPv39SEijyMpnmRYKF5oDTKpMlB09TgaZT5Fky2oRU1fYHIvls3ruH1iePRu29ftGvbBlnpaXj0kUcwYvi9KFu6BBwu0q6ztTzqqraXtSnzvRp+nDZWEt6k+gGjR6EgC3m/hUMDlHHeUjV223Y/Xxr+2DIq9sSE8UcdM34idW16a8ILqkwkDVs6sy2OUdhp+TXy/cKHUQ+UpuhA+PkENH72+RzMnTsX361fz5ltp0dmW/hl6+uU0RbglPtrU59t6q/NmOuypUpg+Xvj8cnqHzFvw6+M1dbYZiNAmhEoTQ6WZgZMk324Db/tQLZunk8YbeEXbvqGf/j1RtSoVA6tG9c3gLfIpy2z2QRsE1/0K9duYM6cOejStRtatW7DFFnSexdFtBnSvnZsWg93TpbkZ6fl1easNs2J6nQgslhpuLMzcHjp+7j010Z12pN8tu+qX7CBwkSGFrMBqm3V7k/j2YWA6oXNhs522pTRz0+A0+mH6W9OQHhkFLZtXK/eo84WC/FBfxbjP0kUUuQ3u+eXrqtdVO7rnoodR2BE0VfGDHVsEH9+s2COktNcua62rmzTRB5SyNyaTZWffP6SFVJ8SSwzaARjjcWj5uM5LlxNTkNMcBAH1yaLzUC2CzczMvDppXOoGBiC2oFhRlAy5btrv2tGImdjZZDDiSYohN9w3ThOUWrzuw2HPxKRbY1mz9ebPToUBVlEJH7lVpQ7LECQLXcQqbw28SV6D8+Nn6gdLC0NkC1rX6VjvWnI/n9ZtMFCsYJVZUEhv9y8lYiES1dw+vxF3EpMUgOi8fWr165j3NvTcFf3TmjfvLEq//F1MrZWqlgRRw4dVIOpclcj4WfdrmtPhIQEKybjpD+zvyVWmzPY14//gxNbvjEso3rWKn5bb+i2I0EF5gNoG8XDYK7jWG8lJiYG77//Pi5cuIBVq1bl/16k3xPZSz0f5ChAM3Id5BYQ2JYBt88KDP2829CqycGwODB6euxYano1ZfIkrQPyjiPScimmsnK0bQY8KAihAFuAEQ5IBKttG1xBADs3EBAMR3BBR6cH/MvUMtbDQ4JQvngR7Dp2RntFEvgxgld5CQhhZzbuocRERWDKk8Ox9Mft+ObnP3y7aaN9ity+xkYb4Gw8BFcUmOsWkyrpuytgWBtwlTZiUbZogJ6LHNbUbao50YD+/fDiC+MwfNgwbNuyxRJMSwHV4m8JcIvBmYFtc59pdqSZlAvtKNlumIZbq2ySPv65McjKysb7kyfjyoUEDB40CEPu7o/+vbrDkZMF0Cq1b6pgIsHwJLCtfxcNZJvmWRr4lkpY5Sqo36MnCroY5uMe9uuA21IlIV1Oy+OJn9F15IWiYzDxrfew5uvl+H7NahXEKMDaixm5DeB2ace6fIhMHhgcTKORr1ixEvPmz/dqRm6YjQtzcfq3CraZGbmZPksESCNgOzIyAl++MRbHL1zBy/O+houYmRMATAAxMWkVgFgH3MIMPEgG1xyE8+2kiuvogdeEufr7y77Huas3Mfb+gXwbuzfKZktRx+XI4yNGPkTf19TpH0m6RRNgyO9cvOTQiAhkZqTRPq2AbSkIoazkorEDChVB/VGTkHnzClzZmYy5lUzIqxaPQI0SBWfZIQpxm/JWVNCsK2v09qgOt8a5bhv9OF8WKhyNZ199Fz+sXoGzJ48hMyPDtLrxyXxcCjomA9s8FGvSLduDtH5vLj0q1sRFPexMT0tDSGhYnoC8sU/bnpWdjQAtR7bJerJ64co1FCfWZJocQ0F0ShrCAv3hJvFnyNxv+GWbgPvDc6eR7nJhXExJGo+GVOInmiPr3HWljA3ojncEIwhOnOUm5GSfTPCQc8ibJaErM7k7ktzOSjSohTJN6qGgix/pC57Aa0GCbMtbYiUmOhpTJr2NpctX4pvVaxRw/f/KHSgK7+Kmm75csxFDx7+HNz9bjGlffY27xryBi1euGXIwU0zl4IlX3qN9btorJDWzjbzHP1qvnj3x/fr1RhBWmVhh8hyoO0fz9l2w749tNvKclnrVz4Fq7frg3K5f4MjJROW4MFSJi/hvgTbRChDUn+diYy4uA2xvQppeunTpQn1+n3zySVy+fDnv96LclzwYyWpNbTRXbs6bOGm3W2a29d8uCLAtpFIhxMn3763a3T/Pd5fr15BAttS7BIO8fMVKrPz6G3ww9X0UL1pUkRhMgG0DuriPKmOzGcg2GW0ThBusNmf+HF6Y0IJms0VxhheCs0gp4+8nerfDjNVm9GMqdksg03hWI+Koy2NVA2J5vofBHVugT6tGePz9z3H5xi2f790CsrWJ0ADVYmEBwZr05yvYFm3EolTQ/bNzO0f9u36d2li2ZBG+/nolnh07FqkpyYzF5ikgWEAyD4CbByqjVYpgaWzjvtfyAG2Cbe6P7eEYUtd8s5JGy582bSpOnziBkQ+NxJR330Tn9m0MkE2WbF1mts30brRNWARe9m4N3yflW9nraIr27oM7UYL8/RAe6K+M5XajjcfRSAjbXgC2x8LbX6+77kbn7r0w4fmncfXyFVsgzY60Aco+AG6vqcAUQO5GQGAQZn/2GQ4cOIhJ771HTZptmW2Hd7DNfLfVSOR66i+/gCC89cR9qFiqBIa8PhNXkjM01pmtOwNZ9aNLBqwZay2x2hJzzSo7R71WIHKc/nh6xkJqRj7luUfhJNupyTj3zya+2QJsO0zAvfzrb2gAtDfefAtxRYtpKatYAEJDYSSNSk++NR0REVGGVYrIFBAgfLWFj7ZgLjjY9vfzR/kuw5B06h8k/L7WjD7ucKBfvRIF3xF4WihyD740W7PN6dYUaqRxerwg15Ri+i6boNuBrv0GoE2XHnh/4nMYOuopXL14Qepr9jnr+arqwpGP57czmPP1HK99XwH+9sc9+1YuUdY9iT02hQRxDQoK0uY4eap04+zFKygVF2PMVXKslT9PX0D94rEcZJtVmI1vunoVvyTeQNPQKBRzBjGQTYE26wd0aVjOSLnhlXdmZmZojELYg1vIgshfraokyVosAnEJmRbFTvOHC5bNlvsCmYM9AuPbBdmWol/HjcF334U+PbvjiTHP4/LlKzbA//+Vgi1u4/1+v20nfvxjD9Z+8DJmvjgaHzz7MGa8OBojXp6ClJRUg9Ve9u1GLF+/CTNefRbxsTH2GWs4UdOyRXP89ut20/pNylRBmW1eC0cXxrLZH1ISh5IoehRyntaLgO2gQH90fW4aXBlp6FK16G2/gdvPbZQfVjsXc/Fcx2Nt0D537hx69+5N10ePHm3mOsxvsVNzmrOQt5PyZUauMOj8fJJPdNOWbTQSd57BtjKzidkqD6bjHmfVXL6M2x5snz17Dk+PeRYD+vXFwP79DJBkH+TKXDf2G0ESdGCtmY2LfZKZrQWokck5/PZzpHoq/mVNVrtM0Rj6xk5dvGql3WxYXDWXoGr2q7DHXiYFh8OJj559kK4/Omm21hdykXZUaUsCxOK3NVpJZ7X1pc6Ie2G27dlt9ndGRjo2/7IFmRnplv16oDDmbsDWSbT76dOmomeP7hg4YACWL1tK24XT4aYxnM20XnJKCJGn3RyEhVbUHlRLf/t5Yr15IDQHcOH8WTz7zDPo06cPdv/1JxYu/ApLv5yHKhXKwZEtQHYmrQJwg28n/rWMDSHA24WbiUkIJgyJEn1YtC/2rVQmW2o3xI8pPBxFOhRMVFmPrLbESOnV61BkxiD1OOrYPrK0k1zh9cnT6J8vjnkcOUTAhTewnXfAbT3OA9gmI7zDiXfefZcGaHpmzBhkZmUbQdAMsC1F5LYD2+mZOdi0/Q9kZrtMM2wbZpuYbN/ftwtefmgwhr05E9sPnOAB0jRzcs5QUxNwowZJVYBrtt0A2Xw/YcgvJqVi6Bsfo2X9mnjugUH0GMFks1Rf/lIgND+4Sdorhx/Onk/A4088ibLlymHkI6NMJlv3nBHm+gbgduOrD9/BzatXOLDg7iCGsCQEJv4375MsHyp7rdGV6+Hq31tYgDQSRCrYH52q3b5A5amITBAcIlu4NkXW1xSqehuTD5WLrsCSt5H388LbDHROfvFpzHhrgoWlZiKJHoBQYpYlFtyu+EqOmGKUebT4DVM2tDlWA/zZmRnY89sWZGdlSfKkqXwk72j5F5+o11IUENrvWIYo+TfdSEtLRTAF2hqZIM13V67fRExUGLdW40GeKKDOwY5TF9AgvggH17xmu+HKduFiaho+PH8K0X7+GB1dgoJvBrKBbF4JXBaWHkZ/0MZBWblC2Or6iMI23LBpIawUlQOicbAdXCgS9e+5MwpYUkjsFOvoLRdvoNfLPuNykhyqTwr8DXw0dTJdH/XUGLiIrGh7/f874Jviha2/ITPTe7C+/6y43Thx9gJmLluHTyc8Tscj0WeqlimBFx8YiBGvTKV452zCRTz+xge4u2s7DOze0Z7NloizoMAAhEdEcFdBFrmHsttKui8gLCQErbv0wNG//zIBtjxv8IC3AmyTdH5nt69Fk9K3E++oAIE2Cfih5D/0VvLAVPtyPlk/f/48KleujE8++QTffvcdpkydeju/cHs3lw8zcutlHJj28SeY+dlczPhMREjMA9jWrpWnN57X4y1FBdsZ6RkYet8DCAsPw4d0cNO1Ui6PpsMWECqAs5xrWgbfIuq4BLIt1w2PKZDc2Z6Ks1hZxSx9RNcWWPDj7zaTigaALHSj3bZcCpd0SCC0T198FN9u/wtTFq4RO6XP6oMdniTcGPfqaVJUJEE7rXQuYFsWWhRgzo6bOvNzfDznS3z82Tw1MJjeVgx/ZqZsodtdOTRK/aqvV+DK5Uvo27s3vlu7lppgK/lIBeDW03FJAFsenHWTI9n/WgfgAsATwfD+YffSQf3q5cto07IFPvlwCgqFBxvg2kFMWjmwpuA6O5PVrEyA1GxSmSn53A3b0b9pLTNqp/LepXzaksTOXi3bF9upC/wEQ3MHSniQP30HQvT1rRre2B7bqEyAyDKvLnSSGl0kFu9+MBObN6zHpzOmKTKXPaDOI+C2Pc4T2Gbj9TPPjEHrNm0xeMgQXL16zfDb9oXZnjp7LmbMXUSr4vPsAWzXrloJK98bj/nfb8WLny1HSjaJDiNScMnAWwLXBgiXt7EKAc4DguD2C8Dn323Bw+99jgkP3YNB3TuwY4hfNvXNDuD3R5Z8nbPb6VnZuOfe4cjIyMDSFV9Tts40kRWp9DiTR0xoBQDn7/LU4QOIjGGWSbRNG0yG2Y8NkM3ZbFEpKPfzR6W+o5GTkUZll241iyEonzlSfSnU6o/OrWYQNB1k27VffcRVAKE2pIulDCTlWqRIHCZM/gg7tv6M86dPIeH0SWWY183HqcCqmZgbv83BnHofuUQr9wTo5WspD+PhXH7ON3NnYd3CL7D2q8+tbicAju7/W7JYMH9XvBv91dn9tPxn4q1EREVG2syFfORw5VBlHk1LxGUSshQM9v4L11A1OoqbiQs220WVZ68cOwKSiLBJSCTC4Ydst5tVF6u0fxhm5Pxvvm4qodhSDDjkGUsiBKHww2lY83+Tw2IRhEsy0CZM+PC7EBgipwcr2OKkftoip6P+Lj0USa5Q0+SK/eI/T6oo9W8SCO3TGR/g2+9/wJTpH5vHWIKg/d8oUz+dh4/nLcKMeYt8J9T+5fLm54sx6akHzGCBorjdaFW/BoZ0aYNx0z7H4OfeRHhoCD6a+LRiEaliBpVE696tG9Z/952qJOQ55gXDTcayu4aPRHzpMlyeg5XRlpltPyeefHoMQkig2tssBYI4yEDmE6udC5Pt029JS7GekJCA+Ph4dO/eHeOef56mEfj5559R0IUIBVeuXvXxDj1st+y2Bz3t27Sm/gntWrXMuxm5haH2TcQ9fPwkrl2/qZxjH23cpijaeBNsj5swEXv+3ofF87+g6blUEKWCaLXzWE2/ze1m4DOD3XargaPsQDbdHllwqVvsCmGt/MrUNP5uXq08/jh0Aq4ccr82L01jfK1g1ecf5oIO+149WjTEC8P74eXPFuOnv/apx+WmTJFt9ozj5NRRJI1JJtXe0z2e2Gy209bSwWIG5AVsd2jVjLIW7Vo08dA+5HbD24CR7o2tk8H9idGPYumir3D48CH06d0bn86ejdSUFDM9igGygZNHjyDxxnWT6bZUxnILM3EZZJtsGtsvjn1wxP004n7PHt3w9dKF6N6pnWkqTgC0zGQTsE1BtQmwaa7sLAK+s3D95i1s2nMIPetXNVJmGAy23A0t8oYZMT2u151jLVgzcqAQZbXhO8zWBGZPxRaUqEYgRmnXuStGPf0spr79Bn7b8rPHIGf5AtxwIz09A1euXLFst4Jtdk0iGPfp2xcvv/wK7h02HIcOH7Fhtu3Bdoc2LWlApratmpvsNwWzZrovGoCMg2kEBCCyUBQ+f+VpdGhSF3dN+ABrf//bPFYAbgqog03AbfhyB+HIpRu4np5lAGwCojftPYI+46fB5fTDmg9eQZ0aVVSfbeqXzczG3UbEcQa2SX3hpYnYvWcPnhk7FhUqVpbYbAYgDDabG/fIADzb5UKd5q3pexLtXbQgIxAOcWmThCcZZAv3kahSlXHrxN9Iu3IGferE3/G+EOjv5xVksw2mUkz8qYc605VQei8S/Ug62gDRrTt2xf2Pj8Gxg//gzIljKmiWXTyM1GdmKkR5mwUg87+zMjORfPOal/dgD7KlW/XY8U1FHDunbrPWNI9u3SYtJWUeZ6EdDlw8dxqd+w5Q3w/fZ/dDirJPV1jw9aPHjuHa9Ws2A4IbJ89dRNnicUCOZGFHLJBycpCemcVcl8jhAmRzNvvjkydwLC0VVYPD0DuyCAXUAmAbgJv3AQNgwwTZOQJk2wz55L4bIAp/IxFZ9Ai1kKjmpGSJgHoOB1qOuhd3spD3zyw87CYomyIdYguyvZ0g/63JVd27dsa4sU/jlTffwU9bthY4yKZ44ZrnvlCQpX3LZsgi8wIJGuZLKQCwffjEaVzz0T3xzMXLyMlxoVq5Upb0XkJ26duuKdZt+QN7Dh3DkskTaMwh09pRxFnSXUzZetcunbHxhw1WiUK2eOL1m7mf4Ni+3abFoiCeSshwAAEAAElEQVRROLhmMhwLeNuuSjEURHG45RCGt1GIP0lSapqXX/KsrdS32hKz2j75kLfeeov6aTds2JACmt59+mDfvn3YunULypQqrXY0W22YjRZM0rSJzj343uG4cOEi5n42G+XLlZWua/dE8m9q2+0Al7bdjHoo3ZvduvRMSnRn2+fzXE6fPY/7Hx+LkOBgfLdsvgbiNT9vWbVsm4ObHfPVkmUYOeoJfDTtfTz0wH2en0cEKqPrcqAnOWCWzIJK26W/xTnm8TJbTiLoRMGvRHXc6eLOSEX6j/PZRAvg3aXfo2a5EujZtI7pNy8Vhw5+FdW9+Y7ZaTauAXydCRDmtYl2vefYt7Hv2GlsnzMJZYgQoHQgod2XFDLyNdWbNH/D4cTAsW8g4co1fPnueJQnUbIpIBBsnHpfyjZxLdFu9OOl9mXdZ3Ou8TvqsazdCoaQ7xeKI4eDTkrfrFqDxUuWIL5EPAYOHIQWLVpQa4fTp89g5IMPIjgkGN+sXmv9vtqaLrbJQt2Vy5exfPkyGgSL+Oe+88ZreObxUYrfNV0n4Fosubm4yWRn0CWrGXBlpOOJ6QtwV5OaaFmpJFzpmcjJyEBORhZyMjKRTf5O58vMLLgyc5CTmQ1XFlmS6kJEvYao8ua7uNOFgKLjV5J90xt50kXms8iAJCcnByMH98eh/f9g5YafULJUaS0fsHVuUf+2831l6w/dNxSXLl7Ex5/OQdmy5SQAoQIJWcMuhPnLFy/ikUcexvPPPYeWLVsYSiQlLaHhDsOtNeRYFLLC0VAyMYsH4mpAhX5pPTU1BdMWrsK2PQcxtHML3N2mEY3cquRfJ4UsHQ6cvnwNI979DCFBgVj17rNY/8ff+HTNJjSpWQWPD+6NmOjCavRzDuAFe838shnoFvWrJcvx0COPomatWvh522/MPJaCCjJmcQbPBWS6XMjKIam73MjMcfHqxokjhxFWOBqB4YWU7RlZOcjIdrHK14mJfWY2WyfXys5hSzI2kt9Kunwe/sd/xc9ffoA7XYiSICmFyUjyTC1ja8U3W1PauDxsc9mcZzKcpomxsAogCvynht2Nv//agY+XrUOF6rUlqwGh6DCZUlp5ujQD1Fnuk/094/lHcPPKJYx840PExhPZSy2i7Yth3g6syzmihZWCsS6x7Mp28TfvVymJt3D14nlUrFZTCobJzEiNY6Uli98huQwJqwgREBMu9OrZgyoSSF/4btkCOLIz4MjKgCM7HchMw7I165F08yaGt28MV2oS3GnJyE5ORWZyKn7dfwK/HDyFUXUqIyspDZkpGchMzsKaE+fw1tGjGF20JP5MTMRLMWVom80i7Za0e14J2Cb9gJmRC5ZbBd7imxnfWvo+u3ALIfBDVfBUXkaLc+AoUpCCbGpmXqN7Wzz27bw73hdIjJGM1BQbmTt3OTzP8ran7eS95WSj14Ah2Ld/P7b/uB5lSpX0gAc8yd5smyWzCoCBD47GhUuXMX/G+yhfppSkVZOexwcsULDF7pm0/cY7lxh+7flOnzuP4WNfoX3h+y8+UAgzliZS/M2C/b03dynqViqHzk3r8phD2s86HPhq/c948LUP0b1VY6ye/rphmcXcj6Q5xZhbuDLXPxAuZwDuHjQYsz//AkGhYSCGW6S/0D5jzCFuZOS4cOrkScz5cDKeeHMa0slckcPnDLHMykF6lgtlC4figcbWMSw/pcBsaImWOMgTq50LO6Hs0+V7HwQvwiYUK8Y0DyR0/7y5c2mqr759++HGjRs2kpenK2pqYl6E/3T5cuUQGBREI7vmfnc6eJG2W1TQMsDQLyOD1zww2/K95aq9cqBITDRiYgqjWeMGvoHsXArxqR315Bjcd+89GHnfME2baA2WpmuoTObTm8mIPbNpC7LdLjhjCqbT5FYcQaHwL1fbeI4n+7bHzDU/48qtJJXxNdhH6Zn567m9G2DfnPSFL199CmGhweg99i3cSEz2DLLzCG/KlypOfWMiw6WIrrKW33hObRt74NzNyC377AJheLJyMFPE2THcZB/xxRk4oB++WbEMY558Atu2bkHfPn0w5umn8feeXShUKArNmjaFH/Hn9lSJSShlBcg6u5/LFxLww/ff4eWJL6F/v354/rlnkXTrJo4ePUb7wtOjH7IEPGNm42xJmWsCqD2AbFI//mYjSkZHolUVkrIoG64cUnN4FcF3zPevs93kU5e8n/nx3+lCfJ2Ir7ZV1WxTvbRCdx6rcQ5/DX5OP0yZOQehYWEYec8A3Lx5Q/L5Rf4ZbhKLoWw5BAYGIiwi3AKSmD+lFkRNAjCxRYvhq0WL8NGMGdi48cc8mZEbQdF42i83DzLGonuboJcx1yTieABCw8MxfuQQrHjvBaRkZqPvhA8wetp8rNy6C1eT041jhWl4BsHpLjeuJabgrgkf4tTl61jyzgt4ZdRwxBQpYpqUc3Nxt8xkC7NxwWo7/bD5l60Y/fgTdL4mJuMMFMjvRF9nkZdZZQr9r6a/S4G4AJNMLjQHTZPJ4CBNZrS5S4hgOSJiS2DSC0/h3yjk9ywykjzk5zLu2w7VduKErgwyzLLZkgSEe236pwiPiMTY++5G8q2bkhUJTxMl/BzFeQa4Ndfl3xc/GFeiDPwDgxASFm4xpDMUxd6f0nxW2aRdug/rGVY2e9a7ryAtNVV7N+a1TXZe/i3ZfN18LrJMTExEdOHCVE5q3qSRRSYhY+7vew6gafWK3GScMNbENDwH7uwc7DiZgIbxsYzJ5hHHd1y5jknHjqFrdBGEwIkWIZFSpHG1CkY7W3KxkM3HDRNyG5B9Hum4jAxUgpirxQjGnrQiQpGAdGTAhd5vPot/o1DLPzI26YO2BQjagWwPI747D9v5dUgKyPmffkzxQu+BQ3HjJrfolEs+QDYp5cuWRlBgICLDZeWGdFlD8W95O7mbdN0RkO17KVK4EK3N69dWf0GRbcWc6cKm33ejQ+Pa6n7puM079uDRtz7G/b06UH/z1LQ09RjFXdBKpBHZq0tnwmp/LynQ7GvJ0mUxcMSjijuRn03k8S5VC876tcAYbVLcXGPrzg+TbdOuvOFOed8999yDL774AsHBwcb2I0eOoF379qhevTrWrl5F9/G7lBbao+fCCFs1ap60ZcrJvh1jp0XydG+5MNtyMVhfr0UH6tJ2TyBbYxplRnvf/gPo0L0PGjdsgG+WfIUAYsIoLm3cimCetQFRAlbmftlH2wZ4ydcSx2sg2xEWA2cJM8/1nS4EEKX/OI+Z/Toc2HPiLKas+BFfjnuQpZQxivneFGbbcRuMtjFIs+sePn0ebR+dgBrlS2PdBy8jODiQiR0WFt36Xc3bNH/PuE+JxfZ47zJgkK/vkZ2W34l5HSM1iYf9tMdYtpmMtoXhltuuxIwfO3Yc63/YgC1bSSDCLJQsUQI1alRH4cLRCI8IR0hwCFLTUpGSnIKbN28iIeE8jRFx48ZNOv7FxxdHrRo10LJ5M9SoVgUHaF/ohcYN62PVovk0KrLBRBpLArIZmy2YbLq0gOxMrNm6E9/+/jc+HtmbmpETFtuVyZa00vVMY92VmU3ZbMJkU0Y7y4VCzVqj/LgJ+LcKAWonriZRQTC/xRcgYik2c8WJY0cxpFcnVK5aHXOWfG3MCwKc5ZXh5jotFdhIprH6eTJ7J7PbWZkZeHDEA7j/vvvQuXMnjdlWY1TYMttCoWQomqTgkdSUlQXSM9htfh0iBJ0+fwmbd+7Ftj0HcCMpxZjLSYTgEnExqFKmBLq3bITyJYtz2o9HOecpxui6MA/nZuxinQFsFhBt74FD6NS1Bw0yM/OT2WjTroPEYnMQwdfJkjDahIXI4ow1Ya7PnT2DhTMm45HXpnK22zzGZLAJa83XCYNt/M2OI5WwHOQ3WpaPwbhOlfFvFSEjCSNeVXHDFa+assZbgD0l5ZOm0DHOkwGYMDcmffLYEYzo1QFVatbBpLlL4R8YbGGyZZN9wWQLJYf4DUiRsEUf99RVdXlP7xMUzHtis43jBOMtRxc22ewzx45g/YpFePyl183zaYYcYUKqstmmEM7Za4fEaHPFzL49f+G7devwyvjnDSYbdJlOK7Fi6/XI8/jmrWfgTkuBKzUZOSmE0U5BVnIaHpi7Fu91bAL/jCxkJadjf8I1jNz2J6qHheONUhXwysljeDaqJDUtz6Bt3WSzSaXsHGe1rSCbMdp2+bDPIo2ajXdCLAIsahiznEcaijeri09/3YB/q5D7zUjh5IP9AXShyMLKROBpu36N3JnjI0ePoW233nTOXrdsIYKDg24DZNvdlyTj22ABk932JPcXRLkNLKI/pw2RJRRMpgsnY7N/3rkHW//ah4kjB5n5sqWy79gptB/1MhrXqIRVUyfg65//wPXEFDw2tD/NYkGVxR4spOg2ouB1+uPS1esY+/w4fD53PrX4oH0mx2S2yXwhLKD++Xsvjh05jObd+qpsNp83ykeHok+N28udLZcCjQpFBkDCcl25chnPjnkGu3fv8qqU0eDGbflCmECaFRIcjZhs7ty5EyNGjkQ2CSCU2y953CWBSfGnDjqVqs0odsfkAmjlaORWs2ybdRlASDeQe2qu2wDZluLGqTNn0HfgUJQrWwaL532OAKrBV7VXxgClMZgeQbZgvxn/oXZui6m4Gbk7JysLB4+eoFpkR2wZ/JuFsDz+FRvi8s0kPP3JUuTkuFGvYiks+XmHKl15GHgL4A6MZZWyJbHyvRew48BRPPDah9THUzks353PnKhMfYmNxlJi770y2/DGbkv+OYaixUOUejlQni3DbRPBngfSq1ihHJ4Y9SiWL16IVSuW4YXnn0XFCuV5ALNLOHL4EK5fuUIBc4VyZTF44ABMfW8Svl62GKuXL8GsD6di9EMjULt6FZw9cwp9Bw5BubKlsWTOLAQ43VLaLrFkoFr4Ywsm264SILTkpx34YEQv5vuXzfz/XHxpppIx35uIOk78o47fSqZAKX74CPybhQis0WFBuHblCl5/YSz27dmVp/Pl3uHOS5XkG1HLV6yEWfOXYO+uP/HcYw9TM1pxXZ8YbuNaNuBHBkYaKIIdGDJyRLsREBSEOV/MxRdz52Lbtu2az7bTYzRykeaL+T4LNptF9haglwVKU9lt6sfNl2VLl8SI/t0w59Vn8PWUCbR+M3UiXX70wmg8fk8/lC9TmufglhhscR3CYgvzPiEAGSCb3c+pswnoN2AQQkJC8Nhjj6Nt+44GiDPAnAQiGOhmgFBm9grHFcf9z72msN7y8CIX00SfVQrGyLrbheSLp0Binw0vINPAPPlqyzLSLt4XZIBqeRbvA7R11tfOUFhvE9SWq1AZb8yci/27/8Q7zz5GLWNUMUbNm20sNVFH+T1NRLK7N2W/SCUmK7E0hRb73/xLvyf5JgiDTFx+Hhv/GmfkJTN0+Tc1Uc1yn9qzHT16FJUqVtDkFDbvkIBnKcnJNA6IiAlCx2NaXcjOykZaVhZCnA7699nEZDz1xx7EBwfj1fKVcCkjE1FOf5BoFqLNm77Z9n7awoRcMRvn40mG24UDSMJ3uEzzaHekINspPY3p9U/yMNxAJkr5R+DJKW/i3yzUVzswCJevXKFZaf7atZvtcNuAbFm+EBvkgV0na3QSx26G4CCS1CqVKmDlwrnY8dduPDD6SQkvSL/lbVZS9t8OmtF6yu1cyii6zFXQRZ4oVTabLGctW4f7e3dQYvyI404lXEKfsW+jXHwclrw5FgF+fhjQvjlWbd5O3TToORy0m5HGhdzPt3MldGyRGGSkpyE5KVHyzdYZbba9XKXK2LR6mZEeklRyvSunj9N4Oq3LF2wK4AIPv0yCov24cSMuXbqEuV/M8dha9IngTpTmzZrhy/nzsXbtOox4UAbbeSzS/VlyX+d2gu3fMjD2BGzV2Sx3sK2fBxuwbT/12e7PDWSL2Voqp06fRede/REUHIRVSxciIkLzBzJAkxS2wxgHvYBs2yryKWvbKJhik907s+bjyden4ssNv8IRGIJ/u/iXr4Mf9h3HpRtJmLNhG0Z0aYHv/tjnWfta4MX8ds3rVMOC15/Bmi07rGD7too2sOpgW5kYcwPbNiDbWJp++fYpwiTWT8q9rgJuM9+6SA/HwLbqLy32O905KF2iOLp0aIeB/ftgxLB78djDD+KBYffg7r690aVDW9SsUhmFI8PgpNcwo4WfPnkCXUhfCArE6oVfIDIkyPC9NsE2MxlXAXYGtYIw2GwOwM8kXMLbS9bjk1F3gcTAJOCaAuxsM3qtCLIjALb4HmT52YHjmLTnIH4Kj0Fw8Tsb+MmuEPPx7T9txNUrl7BswVxb4VsvcuvxyEjkUmVWTww39Ro3xdRPvsCm77/F8wRskzRb0lm2gFvWIyn3wNdkedAObEvn2vrhukHdkj77/HO8O2kSjh8/kbsZOTcbN3Jqy/m1RSotCWgTU3IaZZwCbjniOP9bjjhOTc3NPNlGIDQ5qrhhKs4jjFOGgQNsajrOAPfJswno3KMXTd3SvUdPPPbU02YEZcP3l4MInjtYjbbMticnJmL6hKcQHB6p+QhbcwqLogMzIlgd+nY+/l40BREnt6F41J2LruypBEky0ry5cyxNOy8zgwo0JWiqWVtYeQC20qRVW5SuUBHbflyPd597jCrvLIDaOJ+bZiu/rYICG7FAvV/lmiZQNu7JR3FQEVmk+/n9p43YtnE9Z8Ht/biV0wyxSViomEtZnNr/z37UqF7dKoNwpf7ve/ajac3KPAUjT8NIx+Uc7E+4gqpFClFT8rO3kjHypx0IdDgxuUYNajL+y83raBkWpTDUajA02VRc/G2CbaFwynS7qC/2BlyBH5zoiCJohsIIhJO3KfPLMbgN7MYtmv4rp1U11GzWCP928QsIxA8bf8TFS5eoojF3c3G7kst2u7nD5hTiErDgs5lY890GPDDqqbzhBaUj6uv5KZp8b6fd8qlID3pHQLY56alm4Wzb2p9/R6XS8SgVV8Qi0xGQ3fnxVyk5u3ryi4gIDaZ9ipAad3VogaXf/6SBbEnepxpW2WWUKUwG3DUAK5YtNdxeDIAtrRNQHRocgpYduyHl5nUjFsN38z7G0imv4Pz271A45PYjjd9RoE0GrCGDB6Njp054cfxL3kF2AbkieEst1rtXL3w5fx6+WbXqNsG2ZiZNt8GL3tYObOcmXmqgVtvuHWzL9yiBbglMe6oKiLZcwwPI1u7x1Jmz6Ny7P40m+cOalSheTM5JqmoPlc6oAClPINsm37YCsmXzFTOHdp0qFZCRlYVqDZvhvyjEpHLwyNHoVL8aXhrSHYXCQpCUlk4DM/17YNtsp33aNMVXb4zB15t/wwOvfVAwYNtOi6mDbfdtgm0PAfI8+ekbwNrIqy2b1eYo4Frsl4OTqccJ81uyXzrGuEa25GvNKgHZnfvcRX3kf1y5EPFFCks+2WZ+bCNHNo8sbguyszKpmfqo6Qsx4+F+CCOBq4ggJ9hsLtDJbLbJajNQR5ZVCkUg0w00uXc4/otChNxhQ4egVbuOeOK5F606PU9FbibSRt9gtgK3DdBNNnbo1hNTPvkCG9atxnOPc7CtkSQy4NZlPh2E082aTCOnVUNuYJvfW2hYOGZ98gnNL52UnGIfjZwy26afNgXV1E/bX/Lh5oDbTwLbwgyPAmyRAkz8LaX54mDcYL0Fky2l+mKAm51LGW3KYgtwzU38/Pxx6twFdOnZG+np6WjRoiXemzrNksaLAmnDVFkEQ2PRxWXA/cPXS9CobReLeTMbGjyMpRKQYl4uDkSXqUz74NBOTfFfFCojDRqMDh074fkXiYxEinr/eZkePLOxHhT+UtRwkpq1212D8cCTz+OX79fiHQK2c3JUtlcAYngG3WyfeZxtp5bEJjuQ7ZMsqN+L9NukbP72G3TpN9De7NxG2WCR3jTgLipxRaxauaJGGAiZIwe//Pk3WtaqYkQZlxntrUfPolnJojhzMxEPfL+dmqbPbFCH5swm+bL3pCahZmAYs+iQwDWtxKWCb8vxxGi7gcNIxnpcQRQC0B1x1B/bZLHtGhLbFgNiduvA3WNH4b8opB0MGjwEnTt2xEvjXzC3ewXPMlCWZAhlDNA0nPp2y2XZ9j7du+Krz2bi67Xf5g9se9MyFVjJx2/cMZCtzbaSHJiekYGPFq/G+BEDLWw2BdlPvEZ95DdOfwXFYwqZVnguF4b1aIeVP25Vg6tp1ot6XCbSZvr07oW1a0gAW7cUNFGNPC7idvS7dwTOHD1o5NIuV7UGcrIy0bVZvQJ/TT7k5Mp7iYwIx4gRI3L1ySuIJkm05NQH2Evp17cvBdvD77sfWdlZmDvncwQH2WmyhZ5PLD3dNRGLyCBN0aO1uPn5lk4nS1zaMUZHIK2DNCZxrrrd7ea+uvR4aWYSvykuLa5pXN/mPuSDvZqOyypkc5tQOJD0NL0G3kO/ww+rV6JkCS+MmT4YSgOn6U+u2VzavEPVJ1sDY7wz9mzbFL0GDIRf0Qr4r0p45Xp4sH8PuFNYkI2aZeJx6NxF1CgTrwk+moJEU46yz2OnCLFTjJjnKeKIA+jXvjm+ggP3TpxCI2/Pf30MgoOIz7Z2rFw8TR6iq4g/lL/lc8R3Em2bX5O2T36sWBcLuQsa6/IPsHWmuBEKI2k/uQD9DbYUx7FdYrt6nMNBFDiaQk36Ofu4CWrbO3jkKHoPvo+6TGxcsQAlixVh/tdKvneCLDhoJ0vZL5tUmj+bAHDGjjw5czGe7dcOZWOi4CLpvQSwznFrAJtPVJr1B/nXNj4OA0Y9gfjOXfBflaKFI3Hv/SOoj6zxCn04T4cgdgSFL4V9cj52u4HOPftQsD320RE0fdzkjz9DEI/zYTQP4wdY3lfaVOj4I5oaWzFmDUsTNTcYLVQ+mMYfEEM+a6PxJUpiwsSJGP3YY9Qii0b0V1q3m6rIqb6RmNCRBfmbtGH+oG5iUEr+Jgc5WBtx0Icif/P+5mSKSVP5yd+uGKNJ7AWRScAIwEZAv2DNnVIANqsZ+6Gjx9G7/93Utatps2b4bN58eg0BrNmSg2y+bkS3plGwTdNxAkJiihZHvTYMaFsC0xkKFbXIAIoJXW6Uqt8ao4cNROf6JfFflajIcNw/YgR9PjvcoK7mTUjWRkLjCnagkrSYISNHIykxiTLbrz31MLKzszBu8sfwI0oV2qZ4hAwBUKVtRlOW/qDt28e7tkwXGor2MCMpVzBOcQD3PT4WhaNjFEbeSE8mg2vdy083JZdM58l/RM4MJFYerkzJfY3HOXDlYO+hY3hpSDe4M9MMsM2sjHLw55mLaFS/Koat+YUK9Z80rY/COU5kZWbhQloaYv0C6TuVc8nrwdD0/NlCwZQDN37FDcpaE4DNRgpjlDDekPUdsm1lEYpHX3weHXt0x39VSFA+kvqSAioZZFs6hQ6SZUW9zXY72dFuHteAeL9e3fHVZx/j3oceQ1ZWFubN+sADXvBUvOEHSZ7SlQCW02zBhU8/8a8W2TTLmEtcWPjtJtzbvR1CgwI5WGbbD548i97PvgN/fz9snP4ySsZFa9/STc8JCw6mftdF42KpbONw2qf9dUuAm7hv1K5dC3/+8QcaNGliNR0nMRjcLO4CAdebVq9ATLGSiClRBo3adsbQu/ujXnxUgb+iAme0TV/twPyfnwcQTgIRlShRItfjCNhevGghNmz4AT169cb169c9/7i64mG/CTR9LzZg1tNx8gzgidm2NRn31aRcBmDS0sb03Ju5+Lbff6dBJCIjIrBx7TcoWZJ8Cx/eizIWSoBa0ZCxvz0HdFO1aGpHJ4KkP5xF/l3fbL0QITmgalPj3shAkEkiNJhHyAer7942yJnd9xYBytTzrE507I/+HZpj6bvj8P2vf6Hb46/gOvHdlduO0uR0Ceh2B+E8MNu6ZYM0iHvKo03Mxm2PMUzImUk5Y7KFeXmOPdtN2eocVhU2W7DbLI2SOHb7r7+hbc+7qMvEj8sXoFRRDrJpsDOzUjNxkb6LrzOQnW0AbBq8ypWNVdv+QsmYKLSpXk5jrtkEYwBsl2oubgJu9tr8IiJRtM/d+C8LaaMxYTzITL6KFUhZwZbnasppJrvdqUcffPj5AmzZvBEjBvXFzRvXtWPtwY9bb9ryPulvxTxcPleuyjHsvggwbda8OaZMnSqN95oZOWW3naa5uOy3LYKRKWblsh+3lHtbVH9/ybycm5gbZuHcHJybh0MKcib2GT7aTn9s+30H2nXqShmhVq1bY868BXA4/Uy/bANsmyBCMNpqJGUGsv/45UeUrlyNSEfWdydyw0tDCZuqpLzPfCgjrEZksD961SyY/Kj5LeSeQgJZ1GXRqj2qlfMhUJvDvTpu2zG65J1MfukZ1GvSAq/PmIsdv2zCCw8MRPJNKRq5FLncFE+092t5xrwTfLZRxm2mJfV49jvXLl3CgT1/Ss+oRltXWG0FcKtAVDWXZykaif+n1YqOsdkZaWmUISMB1FhAKJPRTsvIwtWUNAz7ejPC/f3xedsmiAsMokpSAsT/Tk5CzaAwpR+ogFuPMC48VAHi8LIZVxGLQDRCIRoMzk6xYm6xAtCwmELo8tzD+C8L89UWQSnlwdST3Ifct9tpY21Psd/er2d3LJk7G99v2ozuA4bi+g2baOT5KvYN2ozFlIfr3JZJecEWWblPx2OXCys2bsWgTi2VdF8kzkzbUS8jIjSEguwSsdFqPm0u45H1e7q1xVdrN9rIerJ8JweVZdtGP/oIZs+exfu86ptt5NOmQQ+BfsNG4IeVC2n/DfH3Q42iIqPU/wGgTQrJzelHBIE8lry2lbNnz6JUqVI+HduzRw+s/+5bFpG8Q0ecOnXK/g5yAxd2ZuTaJVQnInnI8wC27Rhl+x83wbZ8LxaTcelZlDzGNh0UXu7Xi7n4ilVr0L3fINSpXROb169Bifi8ROnzxGZLEpRXTaZmmqwx3DRqbmwZFhH3Py5+8RXhLFzM49xgRvEuYJBtI/6I6/Vq3QQ/zHwTh0+fQ+uRz+Pk+UtW5Y7ye7fzBjRFCHwF23auBDp4zg10m6m9ZLcCFXhz8G1rNq6bjHNgTQIHUX9uAsazsXzVGnQdNBx1a1TDLyu/RMmi0YbPNvPH5qBcNhfnDDbz0SbsdZaS8/jq9Vv49LuteKF/Bw6uuZl4jgywBeBWLTrYazQ5vqL9h8AvTErF9h+ViOAAhJAoVHku+WeylcMVYM7+tevSDXOXr8WJo0cwpFdnnDt9ysOxnuQy8950sC1vlcG2fqAd2H74kUdx6PBh/LBxIzGEU320jXHdz+q3TQG1FPlbAdwCGPP9RhVgW61uKdCZAd6F/7UCsEXgswCsWL0WPXr3Q6FChdCte3fM/nwuvTfDB9sIgsbXOXttVIXNBrJycrD2y09RKK44fS9qADTe1qVvwIYtPXiXyL8M9K1VHKGB//28QHy1/Yi05xVQ27R7H4s9ZyBYWjlqvgNtuvTAlh++RcuOXTHly5U4e+IYnhnSE5fOnTYuoVQ7Pa722/a/78N96+yyLSOrcgZkceLwAaSnpVnvUYBpi4JAfy7dT5v9wN9796JO7drWtJJ8TP5z3yE0rFKerrO89dw/OzsHH27aid3nr6B6kUL4smsLxAUFUoDN2G439qcmo2pgiJTSKxdGm7u0kPVfcA0VEIbKYGkFzbdiWhvoX0RvS90nPomQqEj814X4apMsB/ZFMjsWf3s1F3fnyVxcOU5sB9Cra2ds+HopDh87jjY9+uHk6TMouGLfKXIH2952/gdI20KCsEqijDeuURmB/n6GvLVi06/o9sybqFOpDDbPeAUliEudJxne7UbnJnWx8be/WLYMWd7TMnAw03HhKuiiFrUkVtiZUycZuOaxOah/tvC+4qC7Rp36GPbYWCrTVS8ajkCCwP8vAW1SgoMCCqwpeNKOnj59GqVLq5FDV6xciQdHjkRSEkkdoJYmjRvj582bkJ2Tgxat22Djjz96/sFc79gL2Ba77fCOYrMk/YYtK+15uxKVXL9nO+Du6SXKamPLsSaIE79FTI5feu1t3PvgI+jXuyfWLl+MqEjrYH0rMREde/bFY888h7wVddrwSF8Zx9p09pBIIPq/Mw3US0C9jtRfMj0zC4EEaFi0kPq389KmPO2wOW/Fpu0Y8fp0JKWkK7lPSW1Sqwq2zHmPRqRudt8Y/PAbiYCrtSWvHVZ+59JWebKzmPjLx2tgW2etNcBtBEGzA98eQbfInc1TINkCb9OHWw6UZl8ZyBYAPDszHePfnIShjz6D/t0749svZyEqPMRguykTnpONWzdvoN09j+LRiZN4wDTBXhNTcBlkM0BPluM+X4E3hvZAIJkdKFNi+l+brLbKZquaYbYIrVQNMV1743+lxEWYaRg9lVzBhSYjuX2o36/5Bi88+QhSbOaFOg0aYfG6jcjJzsZdXdti60/avKATLdrveiRMtH15YeBJf50+/SPMnj0bv/76qxEcTQBrMyK5mVObAWoBwLl/tgy+ZTZbigwug2+j8mBmIi+3GVFcAGseXZwfk+UCXnr1dQy77wFqZfbgyIcwedqH1FVDBtkkV+3A3t0wYexTKojQIowLP+xzJ45R3+yAwGCjfbtkn3ub9iJPm0YQLIcDlYqEo2OVgsuPerslPDjI0n6M4VMqeQbb2vBt6P55IdZnrzw9Cik0vRLQvH1nVKhSnR5Yo35DTF/2LY1C/uSArti1/WfphargV2G1DZBqzmuy7tYLdWCjErZ/HvtdbGfijeuoULW67V4FfCvvxMZ3W9Zbw429BGjXqcVdLNTYMaRu27UPzWsTv38yRhNLpBxqFv7G2i344JddaFmmOD7r1gLhJF4CcfehLj+sXsjKwLSrZzH71nlLHmylKnEJgGNIRRT8URYhHn2aJRWOto39X755A7R74n78rxT/kDB1QM2Tubi236ZIkrKFMBox+kkkJSVb9jVpWA+/fLeKWuY079wLP2z+xfbKuRcP8rdCimiX9FTtN/p+K7dddLWyrNxgfePzbzZgZL/OdD07KxsvzVqIoa98gH5tmmDt5BeYjKQJ87eSU9Hx8dcwetJs2q+IaXeTWlXx847dZlA0D3Ke4qtNWe1H8dns2R6jjgvTccJuk/Ht8O8/o0LMnSMi7ijQJow20dqKomCKPDQIS9uU1o8dO4by5csr+79asAC3bt7Evn/+sb1ehQoVsfWXn9CoYSP06XcX3n7nXbi03G7WG7a7sduJRm6nA5b/VKYDSXWrATJejfRcHvZ7324H9NV1oWm7dOUqegwYjGkfz8I7r72MebM/RqAHN4H09AxkpGfg4qXLyH+xcEV8UvHAanMfTL8S1bxoSP/94gwvDP8qTXE04TIqlojzyDgXaHEAX377E24mpeCf46dtAX3F0iWwfd4Uqn3s9eSrePOzxXQyV4/1UmTArFgU5AK2jQlU1kq7vQBuja3mad2UlF52TLeyLlJ55QK8PVbJZNyVg8sXL6H7kBGYNnsuJo0fgy+nvYlAfwdjuw2QzcB0WkoKDQ5y8fJVbjauVoPJ5vmOv97yJ+KjI1G/fDwH3py1FtE2uaBGq26fLCmiSICrEg8/Dcf/UF8gWm5PJuQWHZrdMTYg23IBvQJYtWwRkm7dwqED+23ltDLlKmDp+s2oU68hHr5nAGZMmaTMCzq3KMuDzLdZu3/l/qSzLUOahhb5hclm4jM+d958vDd5Mv7Y8YdiRs4At7kuGG7iQ20xGZdzXAuGW8qFrZiTy2nBNHbczJGtMtoXr15Hz3534YPpH6Fq1ap44623MfrJpxgzLYFsskxLI/NCOi5fumSABxFp3GC8KavtpkHqyLFd7nnAjC7OX5mRP9q+mRggUAhYwX5OPNCkNF3/Xykkwm5YUID+6c11bwScj8VO6li7fBGSEm/h+MEDdFtYWDhOHzuCjLRUelTJsuXx0fLvUbVOfbzy8D1YMnOq2Rc0cUSXVNi6+o690xYc/nGgnt/SumtP1G3c3OsxBoC2sNkqyJbdDf7Ztw+1a9aU5iXVbHXn/sNoVLkcBdkEbF+6fgt3TV+MWb/sQoWYKHzWuzX8idTCzcUFm52ZnUPZNpIf+0ZOtgGojaFc0klztTJt88Rk/CCSUAdRktypf2Ux3ti/z4DgINw3d/L/lozk9IMf9YXOO4j2pXiS0b9cshw3byVi34GD1t9zAxXLlcH2DWvQqH5d9B5yH96a8qHRF8y0uN5kOU/7ZNlbvU9vNVeNlDK+abJ9gRXZQtH8LmTTzaQkpKano2RsDC5du4Eez7yBaUvW4p1RQzFvwmjOcltJF0JCpWdm4uK1G8waz+XCY3f3wIcLV1mCoqlsNrdeFNXtQv16dXH48CGa7ssSCI3PBwJst2zfCX3at/AaVPt2i8PtMVxnwRRy+dT0DDqB5qbZ5Lut27yQa8OGDcOsWbMQHh5uHHP23Dk6OHbt2kVKZGAtpLOQVCpvvvU2OrRvh09mzUSJeJtAXjIQ8Pyg/Pd9eJ3KbOrteN00JvftzAQbeTxPvGQdrBtXpbs2bv4FjzzxNI2avWDObLRu4X1SE6x2SHAQDSSiJL6XGEvBWirgindiS45sqZNZwJQwKYkrD2eRfzc/qq994ekhffDu8G7GgGiYjesKEP7OLabjNkoQxfTcoBzY32cvXcM/x06jW4uGCtOgS0lEsH17zlK88ekidGxSD5+++jRK0JQMepHvWd5sf5/CjNP7M4j74UvLdfXtdoOIeS1zMvJwj/p1LUoq/cMZ/xntcuOWXzFy7ETaFxbNeBdtmjSwN22nIJmz2reSEBzoh0DiV8uFMrFPmIuTJQkWMv6Lb7D0ufvgTwJZEbPyrGy4srPhossctswiKb740tivbivSfzhiuvXD/2JfOHcjFWkk8r3G5tkDDc+m2zKA9TaaXko4hyMH96N1h86WqMeGiE8shVwuzJo2GTPefwct2rTD2x98jGLF4y0COD9caY6y2ak+b7G/Jd9QD4K9uTSvlZyUhOHD7sVTTz2F9u3aSWOpybDZpb2zRuZ3M6HELvaBXgwQT5YEsHOm3MjnzdY3bv4ZD496jAY9K1myJKZ/PBO16tQzAp4Z6bskP9SbN28hMCgYzoBAHlmcRxjPcSPLSO/lwvoVi2hAovZ33StFIzf3i2vS83PY+cZ2Gby73OhVoxg6VIrF/2JfuJGSzoIEKn1BVd7IQFt2MVB0bHZp6fg2YXJPvseF8+dw+OB+NG/XyVB2LJnzCUqWq4DGbToazCkx21/48VQs/Ph91G3WGo+9MRXRccWlHOacaeX3YkSB57/rqSjtnZp3MuFXnr6Eyadi9s2PJX9TwZmzUuS4t8Y8iuffmoKIiAgmSDtV9oqdpwrb+rrpv8nOIzl17+rXD6tWLIEjOxOO7Aw4stLgyEqHIzMVWUm30O+Jl7DqjafgSk3Cxt924dGZy6nF5Pv92mDFzkOY2rEJspLTkJWSgczkTGQmZyErNQtHridi47Ur6B1ahOpus7NdyHC5kZ7jpstMqRIwTvuFG9iHRATBSU3GRUvxLlVbFed3vf8SOo19CP9rhbSZrNRENh/micnmx3iUe8XT6ywscPb8eezbfxDdOrVnso2u+JfwwjtTP8Ibk6ehQ5uW+PSD91CiOIv1YMjdMoGgz0bydnceZHObwsZ/D+9Ae768v0P1PhW5naxr5IWwwBMWeXNWfoew4EBER4bh4TdnIMflwoJXn0TrOtXUOcd4GFMevJWShlCKF4gC14+6fj734Vzc1bkNmjWow+OGmC5MhrKX/h1oKH5dTn/M+2ohnP6BGDj4HmNOIUtieUXG2iyi7HK5UTwyGCWi7mz6X+e/EvQjiIAs/ncBXz81NdUA2aKUKlkS3bp1y1VDQbR54198AWtWfYN/9h9Aw8ZNsXjJEusEIYOTXIpF+5Rb0dllXfllYaS9s9VWZlt7EMvvWVlt/RmSU1LwxNhx6DVgMKpUroTffvoRrVu28G7izEtUZASL1lmQxZu+IzgCjhjffPb/7ULa47i33mMCaq4H24BseAPZ5nnysaWLxaJ7y4Y8erB8cWmdCDROJyY8fA/WffQ6/jl2CvXuHo2F326W+oL0e74UeTCVmWsPPj2qOZ7dMVJ6B9v86rqPtsl2yz51nphuedKwVMlvOzk5CY+9+Dq63/sIqlYsi51rF6JNo3qm/zWPIi6qHOgsMiQQgWQepyw3Nx3XQPb1m7cw5pNlmDl6IBXyhJbWCHxGNb1WU3FZ6BavPbhCVUR36YP/xULaUdFIzybkuYFsiy7dB7avaHxJtO7YRVLIyOeZv0HY/8fGjsNni1fi8MED6NmmKVavWKqCGM83a272RW7SWG0VOJnfNDwiAgsXLcbSpUvx9jvvIJuwYvQ5JN9tYTpumJTL5uSckTYCppnRwr2y2pTR5um6NPPzpNR0PP7Ms+jVtz/1x65fvwFWrVlnD7Jl01cXEBYRCWdAgAGCDQAtmY5nZGZh2/rVaNtnkBFp3DAZV9ht6eMLBQUfsUT+1PIxoWhX0U5x+L/RFyJDmIWHArLtxXXeVNy39XvFSpREK6Fw4gqghi3b4vA/ey1WiUMfH4vXP12M00cP4al+7fHL2pVMYSNPR+LauvJI22lsuwMlNTkZoeEsmJGs5LIY89m9E/3eeb144QLi4mLt00m6XPjn6EnUKFcKSSkpePLjxejz9heoXDwGm8YOpYc0LBHLx28xbpu/eS4zHSX8gxHm9KPRyEW/J0UeZ9TtbpxCGk3fZR4pnshbmzCfmpiMd3jmQfwvFhoYLTg8H83bCwsuTxI2x5cqEY/unTtwkO35kkRGeunZp7B2yXzsP3gY9dt0waIV37Bv60nezgvi8SaX2x6fy8YC72Yai63Lc/yYbzZvx09//o2eT7+BKmVK4vc575ggO5cPGxUeigCShtL4OTeeGtIHs5evk8gLM+K4wWZrimWyvPuuu/DN1ysNqya2NJV6pEYE+SE+Mi8R5fNX/hW7EdJAgwL9vVou5LFJerxGfkrHDh3w147f0bVLZ4wY+TAGDRlKWXHlyrmBbQ8P5zFYmldzEnnd01PJ04EXsG3bcW3O5dVgA/nfP/68BQ1btcfCpcvx4eR38O3KZYiPlyK22jGH0tPfhjyQt0LnG2YyfidNQG63xFeoCv/KjTwfkOcgaBJ7qx1rvgdd0hDHaL8LoFOzBti9fBa6tWyEBya+j7uffRNnL141mAf5WF+KIRR6MyO3A9gGlaOfYweyrWDbzpdHBd56cDTxt4fqduHHLdtRv8sAfPX1Wnz02jh8P+8jxMdGKxHI5fRcLGUXjypubDPTdukgOzM9HQ9N+xJv39cLxaLCeLAda35sNX2XRnXxFZInufj9j/9PmYznxYQ8N5BtrGgEgUVA1a8m6368gG2ybNm2A9b98hvaduyC5x57GI89cC9lAuULeOBPch/2NCt/RVTxALZDQkMxc9YnKFGiJAYOGoQzZ87amI7rgFuKRm6k5TL9t8Wx9n7aZj5swxeb+3T/+MtW/H/sXQV8VdUf/75edzC6UySUkBIlFANBEQQVu+Nvd3cXtqKIiIhig5IKKCGS0t2wsWC9vbr/zzm3zq23t7HBxs5XL7dj990T3/P9RY8+/TF16tfo3bs3zjl3GKZ9NwPxScnmJFuOMs4GQiPbGIVaJtzUbDwooCD/KB5853PYSUA2QxA08/fNqqTy5HLYMbZb41plMm5mQh4T4TIbezEsy8dUtmm1hdhCXk2rdu0x/rZ7DMeRYYvT+g3Euz/9gdMHDMLbj9yBV+6+HjmHD5j6asvXY608tPMKug1VxNnnj9D8XSrJNvHT1hBq4zOLELB48WIM6N9P24YwbcKS1f9R9a7HjU9g6h8r8PpVF2DGHWOQHhOFDQey0CktUa2vdSAqtdvkm5QHj9RBVHV7HrxIhitEeDh1gMbsC6mNJuN62B0OOCKiKnGGVWVs0f+08sEIgwgSDBk4AKsWzsawwWfhmtvuwehrbsa+AwfVAwwfdzgfulnf3PrUE2tGru2/sf2R7+Yswt9rN+GbOYvx9r3XY9YbjyAjWQp6pvweJpWZ5X2CNP1XTl4BfOVeJZVXKB9t2Vo2OioS6Wlp2LN7lzToKmcfUAOjNU+MPi584biVNjJKQcx8zFAdBPtYr5GUlETza0+d8iX++ecfdO1+Ol559TVqDqfcxdSMlX0Qc6XZOjK57pyQpLoiWJDtsJ6ReU6pktizbx8uG38dLrhkDI3it2LRAtx03TVMBV3RW68ekh3+JQTYUpvD5qlMBX1i4GzRFbaE9BBHVBPJ1qvd8rVNrBjY4f6k+Fh88fz9mPbqI1i+bjM6X3wDXpr4Dcp9vipU0GrO29BKtp5si+caJpZw6yflfOvK2BgojfHbltd10959+zD6pnsw7Mpb0DgjHat+nYpbLr8YNNGQHJHcJKo4JdY+ox82GwRNJtlFRcW48uWJuH7oGejaPEOMMK6o2dogaOI2mYTpiLeE5AvHwt2g4rSHJxqJUW5EWEYhtybZChnVk+YwEBbZlpCQmITX3v8EEyZOxup//8E5fU/H+2+9Rv3tLRVrVpWy6tOZHc92qi3INil/V44fj+dfeBH3P/AAdXsqLi2TAqDJ+a6lSORMbmvF5Jvx3VbUbMM2h1bNlgKhEZK9e/9BXHbl1bjgopFISEzEKZ0746FHH8WTzzxLzxPJsjnJVhRtyYyZbGMVbDYY2prlf2H6h2/C6fZIZsqimq34ZSvvTPvp65tUMp3bPg2pMceSVu74IMrtooMCYp0pbjP/xELuDImKFN1Hbx6vjMHqm5C4hETc+/J7eODNT7B17Ur8b/iZ+OHTd+DzlWuJtQnZ1twnhLJ8LEhOU9tUOSgb20thLR3Y1GHq88jPrZqq/7V4Mfr37au2K0zE4z37D+LVz7/FMxO/ReOURCx57V5cf3YPqn6TmBobD+eibVI8Y4Gk/c3Id05M1FmYDb6x9UIWvEhHxYOTVu/2oufuQ3pbbUyj2giHOyLMjDFshaCToy3JdCW2WyApMQGT3n8L0ya+j+X/rsKpfQfjpbffU/mCMspzLF95xeea/9KhyLq+31cJsIP7GnUb2HMgE5fe+yzGPfwyGqclY8Xk13HzyKEi5xOYvpvZj2L5GBKRDwbRv3snLF651iCgWLmWinF8BIwZPRrffTtdKeOysk3KeFpcBDxVyoBSi4k2+cMiKplbu6KBl7KyMng81dWAijcaOeIirFuzCjdcfx0N6NK9R0/88ONP2kAg2oWwUDmT8jDMyHVkXnMMQ7YrM5F75RcU4pkXX0WXXv3xz8qV+OKTDzD31x/RqlVLLbELE+KfIAcw0+9h3o+mUmJG2sO9UWQcbLUoynhFZcF96lliQ2KmXKtHhk+yKxz4sOphWY+cXjyoPzb88AluuvQCPP3hl+hyyY34ft5i88CBLEx7iew2vcmRriK2JOIMIQ+GqWrrVGnLqJUminZ+fgGeeuMDdBp8CZav+Q9T3nwGC6a8h9ZNMrSm4gEmcriSD9uvUa5Zf2wx4Jm67dCRHIx94WPcceGZOLdbOzVNjES2SadN/Xvl18QwTR0iWrZFwtnnoy6AmrHqTMjN1GV1u3mfKFQ3qRrG+3DOBRdhztKVGHfVtXjnlRcwrH9P/P4L0y5UwrpD1x3UqdlWQdMksi29jzZt22Lq19NwapcuuOSSUZg06Qt4fSRMklyfmyjcunzaqsJtZi6uKtjEV+5oQTGeeeEVdD29F/5ZsQJjxoyh2T6mfjMdAwaezSjV2rnef1dO26WQZylPtphXWyx6JaWl+ObDtzD2zodVv2Kln6f1S7aCXBs2S4xCvxYkB3LdKAvxUcb+jMacWMcfquPb1oPEnTA+nEpU+w45H+/9+hfOGT0e0z94HfdefDaWz5upKQuV6R2F6lKIZSO8QftvP/+oEndl7s3ONd0uAXv37UWzpk00g7j5+fl46s0P0emC8TiSl48vHrsVs1+8G63SSU5gKdYMCe7k9yPG41bfnU6wJCQ7IPUGTbRMUxQigHiw2XyMQxn6AGnyOjEZP7uWmoybmpBHsj7oZgXeaohV/V7YXrex5LAqa9Uw8oJhWL90AW68+nI88+rb6Hrmufj+198raBfC6MdXxqS8wg+oBka1pHeWX1CEp9/9HKeMuBb//LcZfbt2xPwPn0frxvpUvzYLy9qK70Fwfr8emLX4Hykomp5cm7h1SNsH9O+LJX//rbgQiWSb5My2Iymqml1aQ+C42o+IJuTGlF9mMPBHk2OKi4sN/tmVB1uzineJi4vDSy88jxXLlqJ1q1YYd8WV6NNvAH6dOUss65Uh28dkUm5CukJWxwwxszzHfCosLMbLb7yD9l174o0J7+H2m27Aun+WYMyoS2AjHbawmgHzv9T0PJYkHqvpht0Je0bbWm0yroc9JgHODn1NKl25HjKRFUIp2ZZ/e8Xm4lbfEtkdHxuDV+65Aaumf0gjlI+57zn0HHs7fvlzachgN1ryLG3Rj4RaEemwybaVmbeFqh0iNYQSRVYIoLCwAC++NxGtzxyO1z6ejDuuGoONs6fhsvMGi7m2mXzXolot+mWLZuMM8ZbNyXVBz1iSvXrLLlz72iS8eu0I9G3fTCHZMsFW82ZLqbykSTVH1P4G9qgYpF1xW602GTczIScpvyiEypFsi7EGA8I9LhRiY+Pw0NPP49c/l6J5y1a47borMXzQAMz9nbQLoa+ufX6TgSj2b9X5gmuUbYZwkwJ6/gUX4ocff6QBwIZfdBG+mDyZ+jZrcmszhFuvXAumk0qwC4tL8PLrb6NDl6544+13cMUVV6Bjp07o07cfvvjyKyQlp0rFTlSu9WmIZJNvWcVWybY8yam8xIkse8vKcd8bn8ATGaVs13hKVKj4EtgQ7Xbi0i4Na7XJuJkJebzkrx0urKwmqoIzz72QprgzhdIFsFFf6KvuewKvfTcPGU1b4M37bsKj487DyoVzKiwLmsvJ6rfJfnbAKZwrVqb91/esxPM1fyLycnNp7AFK1IQgbRdeeucDtOl/Pl77dAquGXEuRg06A6MH9mTaI/XblP3TFT91TXNtQ6rbjWzSligpxmR/+dBQ/ffNh1zIJdg9ZD06ORHXfPlmrTYZNzMhpym/THF8zcVDIS42Fi8/9ShWLpiF1i2a47Lrb0OvoRfhl9nzTMpCZYZVQhzPnBZeZPJq6GczKCwqxosfTkbroWPx2uff4I5xI7D++48RFx2FtKQE3a1tOnJdeZOWDi0aY8vu/TrBhLFulJZZwk2WSYyJZk2bYveunVIgRDHIYVpc5HHlC8e91BETchcJ7x4mQn2KpaWliIysjmhxLAlR79a+fTv89MP3mDv7d8THx+PSMZehb/8zMW36t/ASM1rl3IouX5nRqwqGeA0HW2wP8yMiqbeefelVtO/WE8+/8jouu/RibFz1D5576vFqGMSQK4FQUMmeqKprn7viKtAGe8N2sLlrNmpgTcDZpD0cTUnu0hADJ+Gai4dExebiFZ3XoWVT/Pre8/jjs9eQEBuNi+96Cr3G3Y6vZy1gygIDjX1nVczIj2EK4WdtTtBF9ZiUhaff+gitB47EsxM+xbgLh2LrvOl48b6bEUM6v5IvtkKW/axftqRgy8RbJtaMWblMsMkU8Hvx9nez8fq3s/HlfePRrmGKhmSLarYYzVM2G4eBbOsKiN2B9KvuhCsllFtC7URClBvxkWKao8oo2TIMweEqaQpYGbRu2w6fTfse037+HXHx8bjxystw4aAz8dN30+H1ek2eTZoz62b6CjvXb9AYgugIt8vtxtXXXEstr0i040tGjcKjjz+Onbt2i6m+ZOWaSf2lBEOTfLhl03JZ0T58JFtsFzp3w/MvvYxLR12Ke+65F3v37sVrr7+J8ddcSxLsMXmvWfNwdpKfU1a1ZbItT7LvtjgtW/A7fpj0ASJj4jTX05vV62kGC1KdEQvs0V0aHlfVoroQ5XHRybw6tf6uq+OLb9muA4KkHtLBihY0btkGj7w/BU9+NoMGuHvz7uvwxOXnY8lvP8LvM5YF7UW1pt2ogB9V9Pfd9sgzFRyhu72OZDOPRbf/u2IFep1+Og4fPoxnX3oN7XoMwHNvvoexw8/FltnTMLhXV5xxSjvFGkr0H9UOLqtm9EZ3rnS3B1l+X6VM6R00saX8/GbDBcY1u9OJG799D6kta18mlnBMyO0uj67yD20ubpAPqslcvCJ0aNsav3z9ORb8OA0JcbG45Kqb0Puci/D19z+L7YKVzlXtcjMLa4JeFZB24el3PkHrQZfi2fcmYdwFg7Fl5hd44c5r6fcfHRkisJhN784YvnAnW0QXlZSYuAjKfUk2KJo8D+LC88/HrJkzxawDxMUkJkJy0Tl+OCHDWyR0OxlpOFYUFBTQVA41jX59+2D2bzPx+8xfkZiYiGuuvR7tOp6Cl155FZlZWVX+eitnRm7lc2tC5C3PEyfyWa5csxbX3nIH2px6Gt58932MGnkRNqxchjdfeQkNpZQF1YPwMoxr/x5dyxfq0JRmsEXFo66C5Na2JzVU/mYlCJrpqGQIMOr3sY3UMaTeBP26d8a8T1/F3E9eRlJcLMY/8jJanzceL3z8Fc2ZGI6ybWAPevNxK0X6WCclkrhKsgmR/XftRlx9/9NoMXAkXp84FaPPOxtb5kzD24/9Twx2plGjJbNujTrNkGom3YWc8kJvKk6i+F/18kR4nA5MvucKJEd5lOuKSracN1tVrtkBCvW1aU3fkoZfjsjWnVBXkR4bgSh3+IOwNUelw0OP3n0w9ceZmPrDr9Rf+X83X4++3TrhnddfwRHaLoQH84EEkzRN7HoIwv3jTz/jwguH4+WXX8bo0aPx8y+/wEsGgSxMyuUpCDv+XbMO1958C9p0PBVvvj0Bl1xyCaZO/Qpbt21Dk2ZN8c13M9C8ZUuNOm22zJqKKxP1sVYVb5lcy/uJf+MvUyZi5A3/U0zF5bzCLEGX19UBFZbYiJ2yc9qloUWylRpW+xFPMhSYCBKhBmuqAzOnf4WjuTlhNjVqeLOO3Xvh8U++xSMff4OY+AR88NiduOeCPvjp03dQkHPkuKhHC2b+EN6Bmv69GnWdVdjJd/XLr79gzrx5aNOpC9547wNcOvw8bF40C28/cR9tF9Zs2YGubVsw7a5oQUKtiaT+rUB20W02Otkd8tyOtAgPjgS81I9VSUOmmYvb5UjJ5MlIWq9SmJj2m0D+Nka/9QTanVVxKtbaCmJCTtM6UYRnvxRWml2Lc4+tZNnQr3dPzP1+KuZ8N4X6cl912z1o0/MsvPDm+8g8kh3i1DD6+tI9LI+X9qlBjSt63IrLJSkL/67biKvvfRItBgzH659+hdHnDcKW2VPx1iN3oqGUBnZ/VjaapEuZHaiNttjO2OQyoaSKpIVCtuPWbjdLVyuha7uW+G/rLt2os9pfVP21tSR84JkDsGjhQnq52Eg3PK5wfP+rF8f/jvLohMeN0jISUKbqTUVWVhbS0tJwvHDmmQPotGnTZhr99ZXXXsdzL7yIwYPOxmVjxuDC84chOjrMxp386tLfTgqFoWKg9j/yR2ZifmKTO9gmBYWeS20LNZv37N2Hb777Hl9/+x02bd5CTSqefeJRXH3l5UiIrymyWpUGVjZ+0htB6Y6KS4U9oToHBY4/SAXkOvUseFf8CpQV6VTmyjJt1nyuau9d7nRIF7M8cmCPrnTauGMP3v36R7w0cRqe+fBLDDnjdIw7fxCGn9WHRn1UKkX5e1c6MmQxlDlXDYApU3sOHMbXM+dh6i9zsXHHbjRv1ADP33Ujrr3kPDoaTUEjkjNm2pIqThVnjSm6HKRMjGCuLFMlWiL2lEQHcDgnDze88QXuu2QwBnRsIZJq6VpqhHHGXFwXZVwh2+w6Sf/U40zE9RmMugzy7TZOiMTOnGL4/NY+blZfh95cUq1DahZn9BuAPv0HYNuWzZj08Yd4763X8NYrL2DAWYMw8tIxOGfY+YiO0bcL4rPJRSLUk9J9rLInVw/yBrJT3kHXbTi9Z0/06NkTubm5+PqrKbjoohE0OviVV16JFs2bSeN44kX37N2L6dOn4+tp32DT5s1o1qwZnn76aXr8Rx99hF9+nYmJn09CUkqqajAiByazJNyMubeOcLPRx+UI42TZ7nDi9mffhMvtoUHStGboWkWc7Qorr4G+Ahu6ZcShR5NE1PWykBQdgcyCEvoujtcAU1lpKSIiwrMOU4aEme/3lB590On0Pti3YytmT/sMv37+Ln785E2c0msA+pw3Et0HDkVEZM0ELN20dnVYD6wERWN0Cbns7d+7F99/+w2mf/MNNm/ehKZNmtA+0jWXXYLEaA9s3lKATMEg9h3KQrOMM6ULSGTbrk5NEuOwv6AEDYm7JLOdkGwydzrtlEQH7IKSD9xhE5i5GBlZ8S0VgMaIwBoUoDnYd6ivPcQvhPyV/W8ci4G3jUddBs0cEBUHb1GuNMJWUSmQa/8qiDzKpStfykjdo+bTtmFgvzPotHHzNrw38Qu8/M4HePb1dzDkzH4Ye8lwDD93MKKj5N/R7ElD9YGtjmfX5D6hWT+LuS7DRViQYH/TfvoNU3+chY3bdqJ544Z4/t7bcO2o85EQE6VY3clonpGOPYelAWaZJBOCLYi1tfgc4n1VemIz9j0t+r+NG6RSMi9bRorEWpwrA67surTN43EjIsKDoM+HSPLcJwA2oSZt7CoACRhAyLYZ9BWgGUjngDw+IbnmCKdQVv34vLw8fDfje3z9zTdYunQZJdlDBg/CsHOGYujQIWiQHqYJJ/k4wn1GVgUMeYrY+V+3fj1+nzMfv82Zi2X/rKCm9sPPH4Zxoy/F4LMHwuE41qh7Vu9Ma8ajbmO6R4pNpWr+YTYqpQ90QNNreKIkv+y643MUCsGiPPhW/i6aJ2t8qq1G+tieAqNkG8ixhbuCmc82e49KIq+wCNN/X4ips+ZjyeoN1ITonL49MGxAL5zbrycapCRZ3PP4gNQTa7fswO+LlmPWomVYumYDIiM8uGhQP1x+wWAM6XO6sSzoRkwVgq0EYzOSbjkquNIIMcubdx/AXR9Ox5s3XIz2sqk4nSSiTs4PBBFkSLZIwEkU24C4ne4PQPCr6+7GrZB6zb1hRmmt/SjzBbA7p4iSMViakmtz0srbZeJqNPqRtTd5Hdp16R/5KMWt0mZ2jNyB0ZIN6UzkH83DLz9+jx++nYZ/ly9DVHQ0Bp49GIOGnoOzBw9FWnq6RkWzvJbumZW/xepvYFQ645KApUuWYMqXk5GdnY1OnTrB7/dj2bJldKLtwvDhOP/88xEIBDFr1ix4Ijy4974H0LKVrGDrfK+VIGfMPlgr3WIar6A4DwjwMWm9fMEg3njwdtz+/DtUr1N8t+lcUsCVIGo6X3C6XexYN4qLwNiujeGwyHBS1+DzB5BZUGoegZ4Zk1QGHlj/fsXCVtrGWNxqosAzFgi7dmxDgybNYacWDuzvrR1AkX9rdqBFMAl+V1xwFMvn/IK/Z/2AbWv/pX73p/Y5E136DUKXvmchMSWNKWeSTzOzLi8TQirPqborqb4yQSU/9+uP3I2HXn6brjvJdrt0jLSffBMicRXXKYEFsHnDf/hj7hzMnzsbK5aLZeHCCy/E9m3bsGj+bDhJv8RfCpuvTCXa5aUYcdvDmPH8PRDKSyGUlSBIptIS+EvL4C8pw+RFqxFts2Fo0wbwlZTDX+KFr9QHX4k4+Uv9+GLPXrRzRqKtPRLlZX6UBQSUBIIoDQgoDwooDwTp3CdAKS8zkYWzkQI3fRMsydYS7tb9e+Lu+V/B4QovLlJtRzDgh68gN/RQK+1z6hsG09H8Sm7XXy/0MTaTY/Ly8vHtT79i6oyfsGTFSkqyh57VH+cNHohzzj4TDdJSLZ7bpKEzfzDdedKz6Pvohr9PtZpbu3Ezfv/jL8xasAhLV65FZEQERpxzFsZdNAxD+/UULZFpn0XMtkL7LUrg1gBG/O8p/Pj6YwoZVl0pBN2y1Yszd420ORyYv+I/bNi5F/8bP4rGELGxqSelrBh0LmXJUCa7E7/+PgcXX3xxNfCdOki0Cfz+AMpN/NrCIdpvvfUWunfvjjMHDKhmol2Zc0Ts2rUT07/9DjNn/Y5/V66kH1m3rl3Qt28f9OrZE7169kCTxhZRscP4CZTKI8Tf4/f7sGHDJkqoybRw8WIcPHQYMTHRGDRwIFXcLzr/PMTGxoRPpip8toqJtmZk0ZRos6NRUtROlmjrQ/qT4GcN28JGCtVJhED2PvjXL6w8yZbWtSRZp0rrndD0246RaKvXs2Hn/kP45rcF+HXhMqxYv0UsCx3aoP9pndG7Syf07toRTRpU1RJFCLteWb99FyXUy9Zuwp//rMbBrBzEREVi8BndMfysvhgxqC9io3UjnGz5Z8y2NeZIVGXW+n0rBFsyUdcT7g079+H+T2bgs7svR3pctGgqrqje8jUEo5qtLKvbg37RvJwQbXtMItJufASO6Jp3oTmeKCjzYV9eiSnJNmuyWOJh1nZUH9FmUgQx12CJNnv9vbt34acZ32He7FlYs0psFzp36YreffritB49cXqPXmjUuLH2PpplY1lkSr1h3MpwtI14L/ixceMG/LNsOVb88w/+/PMP6nfqdDppWssGDRrQiSA2Lg5nnz0IgwYPRkbDhrqo3xYkm9lnZVIup+/y6yZCsMn29atWYMXCeRhz+wMS+ZbJoEy41XXBgmjHehy46rQmiHKfHANOMkq9fhwpLFODYFkSbSZIHOtuwBBtWRDUWwvIy19++A7G3nCHhoizxJpd138HeqKtiaBPLBD378Gy2T9j9aJ52LlhDd3fvH1ntO/eE227nIa2p56O5IyGVSbapE50u12iIiyRbJFcS0TbZkMw6MeOzZuw+t/lWPPvP1iyeBEyDx9CdEwMzhx4Fg0uOPyi4Ygm+aavvBLTp3wBW9ALG0lh5meItrcUF936EH548X4I5YRkl1KiLZSVIlBaCl9xGdbvPICvlv2HR/p3o8TbV+KFnyHaZNqQnY+52UdwVWwDeCnRDqIkIKBUItjlEuEmJNsriPMdQgmOwIvTkWCifIo1QHKzRnhoxc+ITa0bEffDRcBbBn9xvsketVBoibYVqTseRJu5pjITl3fu2YtvfvgVM+fOx4rV68Q+UudO6N+7B3qd3g29T+uGJg0zKhxUMN2uWRQsyTYZaF2/ZTuWrlyNZSvX4s8l/+BgZhZioqMwuF9vDB86ECOGno04ogKz4hfrIqfp5wRx8zNv4uoLh6B353bKexLY2AUhCT/bEOtEJLsdS//bij9X/odHbrqCxhNRiLZMsvWEm5JsFwSnG86IaNrenSiccKJNQIIp+Xz+ShPt22+/HQ899JA1ga000WaOrZL5iHi/I0eyMW/+fOrfs2z5cuzevYfuzcjIQMcO7dGuXVu0b9cObVq3QkaDDKSnpyE+Lq5CPyZSWAL+AI5kZyMzMwv7D+zH5i1bsXnrVmzdug3rN26ikdjJB9Wl8yno1+cMnDN0CPr27iWlQWM+8ApNjNkCK1SDoi2ERbS1qrZe0RaPcTRoBZu79ufLrgr8e9YjsHtd5Ui2tE0lyTrTG80yS85RvURbub56nyO5RzFnyb+Y/fcKLFuzAbsOHKa7G6Ylo2Or5mjfsimd2jZrjIzUZKp8x8dGa8uCnm0xaWhIepXD2bnYf/gINu/ai00792LL7n1Yv20XzS/sdDrQpV0r9O/emaZkIuknPJZpBsV7sGZI6r3V789UxVbMvxkfcLovgLXb9uCRz3/A53dfgdTYKM1x6lybK1tDslnizfpw211Iufo+uBs0wcmIrMIyZBWWm5JsQ42k+zz0n3+1E22dC5wV0Wb352QfwcIF8/Hn/Hn495/l2LtnN93XICMD7dp3QJu27dC2XTu0atUaDRpmID0tnQZbs7NWO2aDCFJZyM4+gqzMTBw4cABbt2zG1i1bsG3rVkqy5Xah86mnom/ffhg69Byc0acPNaljuwCqMqpNqaUuh0ey5ePUdF6iok1zZ8tEOyCp20RJWb4EUXEJaNSqnXIMmwpMMTcnZUBzT5FoExJ1effGSKsD+bKrgvySchwt9RoHnliizZrUmxBtJkOggWDLuc/vv24sXvxkqiUR16vZ2murlgXy4IyssOtRkJeD9UsXYd2SP7Ft3UocObCXbk9MTUfjVu3QuGVrNGrRBg2btURyegMkpaQhOi6OKmpWRPuJW6/Gs+99RtXswrwc5GYfwZFDB7Bnx1bs3raVqvXbNm1ESYlYFjqe0hm9+vTFoCHnoPcZfRAV6ZHUcGDPrl348L138fpLz8Ee8AL+clHR9pUBXjKVYuw9T+LjB29ElF2gRJsQboVoE2JdXIrRH/2AyaPORqCUqNlerapd7IO32Iv7tm7C4ynNIZQFLBVtr0K2SZkIYg6y0QXxVNeWf3+5TvBER+H+v79D4y4dcTLCX1qEQFmxZeWvilIV9VtrjmiHJttakP78nD8XY84fi7Ds31XYtXc/3d6wQTo6tm2N9m1a0alNyxbISE9Dg7QUxMfFVmAYKL6TQMCPIzm5NIjZgYOHsHnbTmzatgNbduzC+s1bUVxSKvKFju3Qv+dpGHZWP/Q9vRs8NBgjYyFgSJvK9F+YALNHCwpx2f3P48mbL1fJtiD1mfTcyopjmVlq2u344pf5iI6OwqXnDKQZMYjgRom2UybaRM0mJJsh2g43XLGJ1C3pRKJWEG2C8nIvjZhaGaJNArV8++23IQKrVYVoV8e57GUEHM7MxPLly/HvylXYsnUrtmzZih07d2ryVUZERCAlJYWaakRGRsDjiaAFoNxbjvKycpozvKioiBZKNkcfUafbtWmLtm3boFOH9ujV83R079oFUYrvh/5PkCoSPVGzegfS31B1oq3bbka0NaRbDmpgRrYF2FOawB4Zh5MZvq3LEczcxRBfstU86AUrbWmJdrjm4tVMtDX3MV6HkOJlazdixfrN2LJrHzbv3Ivt+w5Qc1UZJH5DamI8Ij0eRES4abRJp8NB0xaVeb20rigsKaUkW1MWoqPQrnljtGvRBKe0ao7eXTqge4c2iKKRMHUk2gxKA2A0edKYQbEqtmxGrozushFog1i1dReemPQzvrjnCiTFRKr7JMIsnqeSa1ktV4g2Ua5ZE3KZeAs2JFxyAyLbnoqTGfuPliCvxMcQC1WdCwcqYa4eoi0HgNKcrznGmmjr17Mys7ByxXKsXrkSO7YRUrwFu0zaheSUFOo3GxEZgQi5XSgvR3l5GW0biooKqTk4WxZiYmPRtk1btGnXFh06dESPnr3QtVs32i7o1XAzqwGVaMvkSWu6zCqjqvm4rGhqt8tqtpWqTabVSxahY69+4nES+bYyG2fJHdlGnuSiDhlolVJ3g5+Fg5yiMhSWiRkeWKJtKBsWBFzvU0+2agYzggKeu+82PPzqexpLBEvzcUZBNyPaLNE3g1KWyEBCThYl3Ds2rMWhXdtxYNd2HN63m7rJyHB7IhCXmARPRCRddns8tCz4vF74vOXIPLgfbrcbBUfzNGUhOiYWLVq3QcvWbdG2fQd079ETp3bphpiYKCUIGZ3bAaekgi9e+Cc2rF2NO2+9EXa/FzZ/uUi2yZwq2mV4+LX3MW5wH3RslCqajxNlu7wUwVKiXovm40/+8AeGt2uGdnEx8BOyTVVtLyXZhGx7i334dv8BxAfs6OWIRplfJNmyok2It0y0ZbJNfpNCIYC5yMYwpNFI5DKImfjN33+IzhcMwskMX3E+gmTAwyDohEOWrfq1Yfb5wyTaWrId4njdMYezjmDZv6up0r1l+05s3rYDO3bv0bULHqQmJdE54QxkLvaRvCgr99J2obC4mJJsTR8pJhrtWrVEu9YtcEq71ujdrQu6n9oBUSR7k8asWzAn2ozVnlFoEI/LLyzCdU++jlGD+2HM0AHqMfr3bPUezdwhbXY8NGESrrhgMDq3bSlmyCBkW1KwRfVaJN7iXDQbd8SlwuE+8YOvtYZok8co9/k0FStBqC7/yJEj8cMPP4Q4phYQbRMljsDrLcfevfuoCd/hrCxkZmbSzlIZIdVSB8rn89GOFvGVi/B4EBUZRdVvMjVIb4CMjAZolNFA/BhDPquVSfzxJtq656iIaINJSB8Mwp7UCPaok5tky2XBv2UZhGwyyh+CaDOynaIA1waizd5LeUT9NdVvgVi07DmYSUn44ew8Os/OO0pJdVm5D2Xl5dRXMcLtoiScEO+oCA/SUxLRIDkRDVISqRreMDXZxCpEN4pKZxU1eqzZOGv2pBJtsXGRTamYAGhMw7P7YBZumzAVUx64GglRHs1xypz1x5ZGfrUm5PI2NsWXDfEXXYPI9t1QH8rCvqOlOFrqO05EW6LKOqKt3x+KaFdEstVtWh9tAkIa9u/bi8zDh3EkKxNZWZnIyc4WB1vldsHvo+0BbRs8EYiMikRaWgOkNUhHOm0XMuhkZXYuL8jL1kSbIUwmJJsl4XqTcVkFl8kyS7Zlv2yZZBeXlOD1h+7Ava99rO5XiLaqtorKtvQNSM9H/j+/fTraph57KsraDvJ3ZxeVobjcr5BYpc9qaTauI756s3tGtfb6/NREk6Rt0yvZoYi2fA9VMa880RbXpRIhfZskBWLOwQM4mp2FozlZyM85goK8XPi95fCRNsFbjqDfTwm3JyIC2ZmH0LhpMzRu1gIpaelIIy4R6RnUOsRJlHDFhFwl1kq0b7s6J2SbBBCMjnTjkuHnU6KNgEi2RaJdBvjKMPWHWfCVl+KKwWdIRFuciKIdIH7apWVYtW0fpv+zEY+d2R1+4qdNlW3iry2SbEK28wrL8OyObXgiqRlVsMt8QUq4ZZJNzMkp0Zb9tKVysCNYjHUoRDvEoCWi4HI4MX7Km+h12XDUiz5SST6C5YRsh0u0mW0h1ebqI9r02czuZXisEH13yhe8NDgZSUF6OCsbmVlHcCQ3V2oXxMnn90v9I1IeCF+IQIPUFKSnpSIjNRUZ6alo2CCNlgFjf0i3zIgO5kSbdZvT7xeohfIj70ykVoVP3Xw5UuPjDP0vNWCZ/oUxfVqpH0nahPNufxwz33+ODrLRSOWUaGtNx2VFm2xzJDSA3VM7LF9rjTMTeakel4v6oRDTGLotxPGHDh1S/MpqN9gI4Srcbg9at25Fp7Bh2buUt9ss9iklKwxyXUOo7HiO8sjiAkmBVR9ItlwWnO16wU8qsZwDoY5UjmfXawXk39uUZGt7iW6nE22aNqKT7gDNYIx528k2eiYVt8Y9gbluqOc2+GWbEG+LCOTyOlHbb3nnK3x05zgkREXoAvzpFGq9km0SbVzuJZNmL/6CK+sFyZa/7SYJkfRd5Jf5j9NNtWbh6ubwy1cokh0KRJFr2ao1ndjzra5vvl38N1RXUxPFXPpH8QFW1rWkWiVuWjKnz3MtX0k9RkfYmXMJjhzcj7SGjTVkUX4Ohbjp/h7aqgmgabzqA8mWy0JKTAQEoQzFXrEssISbmTHQbjEOh6vvdtGcWSguLsS5l4xlWHKIB2LueSxyjYbf2IjrGElDBzidbjRo1hINm7dUrUlkk3ElqJm6nHP4AM3d3axFK5EwS2bl6j3kvpA15L3ZOdlo0e1UXfNFFqTUXXYHzh3QC7c+/QauPKe/pKqJnXybU5xI/uquzTPwypxlKPT7Ee1ywO63w+FzIOgKwOF20HgbJJVb++gYrPEXo7MrGs4g4AoICNjFASryd8iDVmJiAbFP1MoejcbBCGxGMX5DFh596NF6QbKVPlJUvOhi4jMPqGwJs4+1WkQ1i9vJxFHQ98Ul0E2h++6kXWjTsjmdzB/TahBB2sf8ffSqTARwWqjk/fKyVUYY9pml8mCzkz6NnXZtxPh8AlxuF1699yYsXbMR1z31Fvp07Yg7xw5HFHFhla5NCbxNjhguXdYQS0gk2x9/PwtjzzsLbpfk9qc8s/7vExsYomTXFpJNUKtCNpOXTD4oYgpeUcdk9erV6NatrnQ2zfLdVeUyIa5hs5gq2m/Wo6xuVLkVFh+MjkzV4VzZVQGJpu5sdwZsSYR8mvhkK8ex3wRqGfRqsm6y2q4oykS9lQioYL6fJa6mE+M/FM4kq8fGoB/aKOJKVHETkk38nq57fTJevf5iNElJMFHHGbLN7NMTb5nwi3+62OjGnTsWkZ16oD6BfONNE6MQF1GD48IVlZ1QxhlWp1SSZBPo+Y3+s9d8/vpxGGWS82tbT0H9BH3Oa5lkCyYkW5u/W35uuUgbJmasS0OqJKQ2bIyLrr4l7G6ueC8Bg9ukokPayRUEMJyykErzzTs1L1M/CGE6KKIfxNBde8v6tWjXqYthIMSaxLPf27GDHVjRX1C+j3GXeu+D+/Zi0eyZ6h7dsWEOtdICm5uTg+RkKSew3ElizFiJ8p+UlIhynx8lJL6QRLRt8iQRbbvLiSt7dcY367bTZXFywEEnOyXbZBrdsCF+LMiGw2GHy2GDy26DywZprk5EbXeSQQhJiY+wO9DFEY9vJk7Czc+RaM/1B5RsxyTA7pLjD1U0MhSqL1ozJDtsVKZPbnosS1At+v8wybNt2bBZWD8q5lxsmVDzZcvLdLLbcUa3Tvh5wrNo36IpRt33PB57/0vsOpglhvzX5dkWzzdypQNHcvDLwmW4avhQXawi3UijVIFQvhBZu9qFWqNo68k2MZtmfRL0WLFiBS644IIafhh5pKmmCqHVKFa4p4v578yyBaom2/LzV9DdC5VrT/6wj4uXgTiaLaaGrZ2F5niBVDzO9mcgsO0fBImyrankTM+QZrZK9vp1+bOrE8roqC1El8fs22MJpkmvS+n96a9hNlotjeRafb96FwYzBVtnUs5W7Prp0c9/xD0XD0KnZhk6Es4OHmhzYit/q7xN/05sdsQNG1fvSDbbLjRLjMIelChm5KGPl+ahjjE5VlO6LJRty+uYdUyqAWHVunKGB4smpaJraIi9QnpUBURLsvXmydrjzK9v3Qnetn4NjbvQqVd/YztkIQANbZdW70g2WxbSYiOQhTIUleusPCrkGRq7BQ0/ad2+E5q2bqe7nBp8jv2OjkdPQH5O4iqjadLI32ATezhsz6Zx85aY++M36sk25lhpXUO82ZPZ/QJQWlZGA8iKhITcXyQFAiUEDjHqsd2B4Wf1wYwFy3Dl0L4aRZuQbIEq2E6c07k1Pv17DcZ1bYtIlxOCO0CVbIdbQNAvIOgWVe3T4+LxZ+lRDPDE0/0BEDP+IB3wkh+RLopR5sS+ksOOyz57DadfPgL1ETLZDhQflXy2awFprjDPNvvRhUKYffdQfX2l/mQc2SvFacRypjp5EG02KJFppi9ElqXN+rReNocNIwf3x4iz+2Lp2o14YeI31D3w1LYt0L9bJ/To2BZJ8bEGV6eNu/bh3Wk/Iys3H28/dBscJGo467+taW9FE3dbcmPYo+Vo/LUHtY5oKwnqpdx/VmR77dq1eOyxmhzBk0lmDZFt+sGYEYhK3svCP5t8dlqyHQpKq2R2A/UYidgfLzgS0mGPqB9mgaHItqNtL2D7vwjm7AtNsg0jlPIui9FJM5JdHf7ZYfXydfKKmWk4S25Nt+vvEw6hNif1evIsNhZsqjlt46GJTM6s//XfNhpN+czObbSKO+O/ZEXWZQJuINt2B+KGXYGIdl1RnyGTbRtKkFviqxYlWXusNVE2MxvXFjcmBzCqB+F0sfTHm44zVXQe05FnyyFLvk1JtomCzV5Pe66WlLMoKymhgaxO6dVf8/7UgQ+xLaPdPBswtG0a2qTU83ZBItuANkCa1W/Nqrts9SOfV1RYiITkFBpcTAwwp+7TTBZRxGsM0hitTVcgNJ+RtC0pNQ3jb7uHeV6tCMGSbc27YLdJ68lJScjJzUOr5k0Nyp2o1hGy7cS4C4di+C0P4fJz+itKNvwu2Jx+iWz74Ypw4Y6zTseEpevwUP9usAcCcPiDND2jw0/SNIom5Jc2aoQHNm1EN08MYhwyySb+8uKzMXGb6YrD5cToyW/i1EvOQ30vCw5KrojPdglqMyo0I2dhOXKqXE13rLygO0ZvZh0uNLydrZklsq0cJ/ECmYNT+yjZZVZLuPt0OwV9unaiqcXWbduFv1etx/Q5fyG3oFBzOYLGaam4bewInNK6uUHl1gT+lfpJ9tTmsEUnojaiVhLtisg2SVVCRhtrPvm43Iti/Blq4vrsalWIrF6NZK8R7mAYe+wJHxC0wZGQVqt8LE54Q9L6dDpiHjyyO9SRVQiAJp8nzWsMll1A8V89S1B6PYyGIoQm2pbBNcIm7uw1dIo1u9+MfAsC8gqL8cLXs/DNw9drjmFHeBUiLd2XJdbMX6L2/BxOxJ8/Hp5Wp4T5nuuHGbnNVoqcYq/1cdKxYV1T+tfEcI49wPo+FR9mcr/wcMxVcVhqttE3ms5ZJc3EDFksojpWzrK3MJGQlIycI5masWfWSoD4E5J1B+wY2jYFLZJO7ujilSXb5N3kE7LNvnrT39PcxJz8++/SxcjOOoyuZ/TXnsewbNO+uu4+laLhYYwkiYeIhFknPmuINFkiftq/zfgGV99xLyWhRAmnJJoxqFI+V4V7sOxdPk6gkf6zc3KktlFSs4mZq01UswVBVLQ9kZEYcsbpmLV0NS7o3YVEcIPgDMAW8FEzcSHgokEtzzqlJb5avgF7CkvQNNJDVWwHCXZJCTdRtoPw+IO4tUkzfHJgP+5PbIwgUbRps0HD/om/nzTa5IzwYOTkt9HhwsHhv++TnmyL7oVGsn3CO7RVR0X9Npawm1oz2YwimSmVYStfVlCTy5fozqgSbOqMrRveIwNQ4j3lgMa0PrAx/SRp2ely0Yww3Tu0tuyyGdLVarLZsCbkdtgbtK61JLvW+WhbmZHrE40vXrwYffv2Pc4Po/xznG4WagrnfDqGpEwkNZKZibn27wqHlNUw7A44E2tPtMBaZSLVshscTU9RdZ5qV5+PJ1TnUo3KpZDOiki2VmvREmT9xOSAJNF1vT4TZbmKJJtRs9/9cQHuv3QoYiI9zH75j6o87NFxSLj0Nk6yLch2w3ii6IUPpZYzVHHaSOPswXryfSzVI9tX0BN73edcpclk7KdC320SrdZwHPPpas81ux7T1TL5zNmo7bI6rXkfANp07oq+Qy9Q3o8mUry0HOVyYMQpDTjJNrxfG9LiIpEcQ8ycmfFJ6dczG1NUfzf191u6YA56nTlYcWPRm4prrqH/7XXWCuFqBaz//7GArbLLSkuwd8c2w7OpQwDSXH5W5p2Q1Ejyrtat2+C//9aLCqRkMi4GQSPLDsDmgECEHocLN44dgfemz4SPfKkuN2wuF2x07oHd5Ybd5aJptx6/sD+enrucmpQ73C443E44PE7RT9vjhNPjRNvEWLSOica88qNwuR1wO+3wOGzw2G1wO+xw221IapiOq+dO5STbwozcoQmay/YtqolwGxTeqivbVevfGx6mgnPlxow5hrpe6K0g1f0kA4FGgFGOZ/yoDZYezLJUVmw037VDcbfQTKT8kH0OZqLHsv7eNNKh+X3J3OmBvXGnWk2yaz3RlkGUbUK4ZcycORPnnXfeMX7qlQHb67K+49p163D2kKH49rsZx3ArQ8/EpAzaKtGjs+HpZ5/HwMFD8c+Kfys6CScSNqcbLkKyaXALDjM4MtqIQdKcorXHif7NrLBm8w6cefU9mD77T/MDpB6hSrJ1pNogsRlJLztZEXBNsDRBwFMff40BNz2KfzZs1TCUY1Gy6f5gEMs27cCZp5Bo0frnqTyc6U2RMPZuuDKaVen8+oD02Ai0TI6mQYEqQ7L12+QVa2Varf813Zowi976/9ZhxLAh+OkHsV1QUojpUA1cWyXTzH/qYJRKPIgu8fLzz2L4OYOw8t8V2rEj5nk0CxXNQw0p6UcpmL4dWSQRasV0T7LvneoVmBbjxsWnZCA9hrcLVkiK8qBRQiTtk2qJpcl3phtjJNGs73zyBaQ3amL4Di2hfEsyuVZJdqhz92zZgGevvRjL5vysfi/HSLZVP3Lg1B69kX0kk/nW1W9fuR9DsGW88vyzOH/I2fh3xQq6r0/fvlj8119ac3FCromiLanaxHScWhwlJODKEefi3W9/o+0y6ceIRNsNm1uc7G4XWjRIwkVd2+KD5Rvg8LjESSLbTkq2HZRsX9GkMVaUFmKfUA63yy6RbJFsN+7RBZcvmoGGp3c5hjd2csMRGQNnbBITW6gaSbbBcrDq/a81GzZh4PDRmP7TTDGOQFWuWZEAaAuHbGu3Pfnau+g34nIsX/NfxWSbqtzMshSRX53UbSzpJssG4s0eT6+lBkxTSTxjNh4ZC3uzU2GrA+6ldYJoExAzcWIuTpKv7969G61atjzOT8CqveYf9o4dO+FxeyjhrpZ7mU2VKdfSKW6Pm7438g4tVW19r/M4gyjYzoR0MS8eR+h3lZAOZ8czgciY2sqzsWPfQXjcLkq4jWCVD6ZbZtaz1/SQQivLViSYVbTdTgf1QSTpXwym3RqSb0Lc2eOUDpz4fEs37kDvDi1hl69rBkPdwQT0YFibp91piB91Kxwx9SvSflUQH+lC27RYeJz2sEl2qPFKM9VaP85pbALUE8wI/e6dO2mu3/Xr1tZY3coqmFaTfJyc79jpFtsFO+ngmJF2hqyYkXqzc9hXoizK+cf1Y8iysm+zISE5leZLlvtQtPtmA1onR+G89g0QTaJsc4REjMeFZknRVPm0VqLVARnpi8GSP+Zi/i8/qGq2NtGbStllH302tB37bZkp4LoNmft2w+V2Y8/mDVaHmD63oYkw+Q4Jep81FK3bn6J9fub5DNeQntnpksuC+O5I4KXmzZtj27bt1GRcNh3XqNoM2b5ixDAsXr0B+7LzRYLNkG2iaNPJ7cZlZ3TGjtwCrDuSJ5FtomTLc5FsuyNceKBVa3ycfQBl9iBcTjv9TdtedhGGz5yCmIz0Ct4Yh90dAVd8qvj7HNMwTggco0Xhjl27qYC45r8Nx/gc7LOE6t+bCIZSUEF2m9vlkvpIsmsuO0DKkHPNpI02rs4ZAs2UHzHauFbBpiq2QtTV6yn7GZJti0uDvUlnWs7qAmyCZeSg2gmSuH369OkYdcklYRytOJJV4xPoOv7sHkGgFXPLli0M5u7VCsufzPrvpI0IHX1Sj1GDpbGn61ol/bXNtpu+Y3G7mOzeotmXthNTH625D0c4EPw+BHashFB4RDdiWRkfbbnyEperC6QsbN2zH60aN4TTKVfYak9Mo2SbfnfMdgPJtjhPL8kpx2lzNcodKtP7GtRx8RjBgsDLQdPemjEX3Vs1wYBTWjERxqVjmDRjgi6NGPHfU9J6CQIie56LyO4Dq+13qC/wB4PYk1uCwnI/0yewGcivGenWBDLTi66Msqo5J0QQND2hJ7/rju3b0KJlSziJ4nWMf6v6Jevbn1DHmhMNpSywxyvHaVVKdllWImmAJtYIRJczm3TYAvI8SJblOTTrm9auQlKDhohLSlW2dc6IR6f0+hlZ/FhA3t3+oyU0Irn6u6i/gZjCTfx1yfypu27GDfc9juQGGcpvJudGF9O8CcbtNMgwayWh/u5gvg9DbSwIOLxnJ9IaNxOjCEsQrRnYMqhGGhcHXqSBGjl/NnR5tO3inNzziZvH45WJU6mli0PKpU1yUZNjHcyxZLt6jBigipBaut0OLPpjAVatWokH7rkbtqCf+l/bgj4g4IONLAfkZR/g92Lz1q146LUP8e2L98Pm90LwlkMoL0WwvAxCeRkCZWQqR05uPq6Z+DPeuehMJDrs8Jd64S/xwldaDn+pn06+Uh825eTj07178Uh6C3S87060vvma4/YNnSwg7aq/MAdCyFzbVbc8Uwfeq3KqgK07dqJV82YaviAGSrN4zpAXDHUM219iR8TUfo+N+XtEvkALlGl/SHlGTX+M3aZbFkz6V5rzzfp+5oq9La0l7MmNUZdQZxRtGWQEaNy4cZpK+vjCZFRI3mOzoW3bNjVLssUbVdqknHamlB5iLZFBSQMYl8xJdlVfn9NFI5Lb01tJG1BrQMpCu+ZNGJJdVXPxUCRbbjfM1WbDedIm2oDolG5TdTwkGGWdEL2AqJZLfzzraBoi17m6zeaOQMywqznJriKcdjs1I08Lw7zYLNK4vuiwJNt4gfBJtrjNhtZt2lZzu2BOsvUlQN7HEmR2IkqB9tPXGZ2bkGyz+4eCnkDJRIkpImh/anf8/fvPEAIBqt6d2TKFk+wqghBHEsMgOdpt8Y3IAygiOT6tzwCkZmRI1arWl1nx1bZQs81gRbLpt2CzIaN5q0r339h7ar9l7YdPAjYJElGwvA7DNdhvnJYFZhsxH1+6dJmJcicqbqLftkNUtx1OtGvdCuf274V3ps+i/tmi6bgHdjq5YScBfD1uJCfF4aVRZ+O+Xxcj4CAqtguOCNFH20nmEQ4675AUj9EtWiDukf9xkn0sKVLjUmpl9hraR2rdytAuyGbk7BTeBdn+fbj9fL2yLZ7HDr6anaM8l8ZvWmdSblC7bdJIGaNsy5YhGrVbNiHXmZM7XbA3OaXOkew6SbQJyEdA/LblqOTHHxWbkR+3Z6iqSbk4LlXx5Q3bq+fvJSbirvg02N2R1XK9eh1ts0lHOFp0lcykajcM5uLqnjDMxfW9fYYUW5iPa85j72uwq9WSc/b6Rs6tf0ZCtANwEBmkgkE51lRcbHdscCSmI3bkLXA3a1/Ft8pB363NhobxkZRkUNeAEFB+DdbEWWNlp5JsvdWdwYz8OEImQfpPXd0nLVvsk8m0XDZEAqUl1+pxuvPYZzAxE9Z38RRyrQxGiEqiqkwa1cptq5bg7FYpyIirXKA7Dt1vYbOhQVwkGsVHSkGETYKXAVi2aAHOOGuo1irBamCGrWK13v+GjzT8YZhKQK+YM8tsizLyyusQ8ItqPsvD2TPkwQDDXmbR5fYgJiYGObm5JKa5aj5OSYaWEMhk+8axI/Hvxu1YtXW36qetEG7iq+2Gw+1Gh2YZuH5ANzwxbzkl2sR83BnBTk7Etm+Nm3/5EQOvvbr632V9DJIWk2jSf62pj7UmUBnCbS4GKgdoBv3VY0SyLR8T6v7iDcR89uz1TMg3TMzLTc3MWfNyrfk4PNGwN+sCW0wS6iLqJNGWQUZFie9b6NGXGsYJJdss2K5fOKNa4nY5Krm6SXcdM7X8GMm2nQSriE9jAnpxHCvIKJ+z4wDYYpOlLWz6g7ryfrUKdsjjDExDJg+yUqMn52ZOqyGcWRmzSONxxieKjYxAfnGZqmCHgkSySUPiPrU/YkbcStPZcVQPEqPcaJsai2i3Q6M0m6rWZgZBBvPxE1+EVCLB/qvdT+c6cq1XthWlUnddDQkzI+caVdGoVqrvx+Tl0ZnO9Jeq2qrpLzHdvePWW3D3FRcjNoK3C9VZFtqkxiDKTdJdMUHBiBl5IIipH01AdGycRq0OR81WibmsjqvrxyvTtna4Vl1KSk7F/j27NKo1q9Zrvn2924NuIOKcc87BrN9mW/qjqn7bovpmd7rw7pP34OF3v0Cx168NjEb8taXAaCTq+NAubdE+IwXvLV8PR4QHjkiPSLKjPWg49nKc8v5HiGrGg2FWFxwR0XCROEA02C47kngM36tSx1VWST7RUcql5ZCnyxyA4QKGvo24XTCIj2Y+3DZjdHJ2XaN0q/tsSY1hb9oFNnfdzURUp4m2om6TFGAnRN02I6gnEIYABRUp1paydcXbq0C2iYrtjE+BMyqujqemqp2weaLgaNML9iadxNQJLNmuC9AIDGaqN7PfgmRbkudKkWz2XlbKtxZEodi095CucdJBDuRBCEZCGqLOuwERpw3hAQBrACQtDjElJynAWEMDPSE0777IereRN57Y4qQq2bqt4tyEYGs/ba1ibTqZknNzkm3oo5qo/vpJJNeMmm0jQbyc6NUsCZ0bp9AAihzVC4/TgdYp0WiSECnlpBZ/tg1rVqLngLOlnNOVU7NhSbKPP9jnJcg+koVVSxebDApYKdzMteQBBemAc4adh99ni0RbSfUlk2w7G4ncThVtMiUnJ+GxW8bj3rc+p+auWmVbJttuakZ+65BeKPT5MX3DTjgj3Iho3hItn3wVGWOvpqnBOKoXtA8alwJHdIKaY/rYrmjR564Zsl1pc3IWZqJZ2OeG6vvrybZZRHKbSDf1puSy6m2meBMVu0ln2FOaioHS6jDq9tOzpiEadTtEJ736764byamNqIBwS8q2sq45XOeEaHYBzaheKBU7FfY6EiWwroKaIqc1h7NDf9hIiovagpAKteZAbW9IY7NqQXSVVTMWYu27rTGfNUzMs7CXtPgzOjbLwEZCtDUDxgx1k5fJwGCnvogcdgMcyQ3DfCccVQF558nRHrROiUWMW/afV2dmwqtybihxVvo3XIORYyXoioZtYkxhRoiVOVsu9GbhYbSQZiQ7bOgMoGQ3CTXQlahmN0uMQs+miYjnKnbN59uOjcApGfGI9TjoT9m4eUuMuf42jZobjprNVrN6klulZzuWP0zzwYsgf9e+XTs0zYcmjjrbpJgQcZagJyYmory8HMUlJRZKHaPG0bkYifzM3qcjNSkRM/5cTsk2zJRtj0i2nx55FlYdysbhNt3R5L7nEdGMpIjkqNE+UmQsXEkNJHW7um+A44LKpQPTN3wWQgDLBUwJttU9WbKtv6aNKTfGdF1mJNuW2JAKRnUhdVe9IdqW6jY7hHk8UBvJtsHkxPSgqpmRs9e2uDxXsU+gut26J+yNO4qN/wmDSnQrleCA6REZ82SHyRIqUK/VYGYWUyUeNz0hDofzCsQViVSIy2qDQlTsiMFXwd3lLK5iH2d1m6Q9yoiPUIievpoz63/oSbatApJtZcTA1puVaR3U1ov9V7s/HJJtpVDL65ZGHyZKdsgiYTI+prwv9n3agCiXA10axqNFUrQU3ZbjeCDC5UDH9DjE+Asx7ZN36bZgJdXs6uxRiWWrcuWiImQ0aYabHnhcWddHRFe3W5QpHdkePGQI5syZZ6Jcssqc1seUpC168o5rMPGH2cgpLKH1vSbHNqNqexo1xaSfZ6HXtXdyd7rjCLFvmib6blfrF6gXn9ippk3KjY9itNuyeGY6k7iAFcEO04zcSNb1sBi0ckfC3qgD7EmNaWDDkwUnz1+iUbddcHsilPygqO/Kdk2akRtG1Wwanxga8ZGr2Cdu5Da1GZzt+8EWm3JiHkLquWgU4sqcbkmyQ12HkVsqItkVmZdX4l27HA6U+3zsRnEiDXr73ogYdCUcSRmV+vs5qgfk90mK8qBVsqhus8RaQ5Z1dV04JLui6lXScKvYKoRvLq6sW3y2Vr7XIe6sIdlm9zeu6/awVgGSf3YGVVbjqMk4x4kpC13aNMcHb76KhEhXtUQar9JzSJYNthoQXN59/gnNNlW51o0gyX8jQ8S1ZFvA8OHD8cNPPzFBn0h0cjkoms1kLpJtT0QknrnzOjz63peiCbk8uTzULNweEQlPt4GIu+R2eDK4L/aJVbczYHNVZwDG42tSXj0mVZUk28yxmmuY0gWbxSQPUDlgS8igJNvmicbJhpO2pSOVrTsiAoFAAH6fV8xfe1xAPh5SS9uOr5oeNkI8l7SLNCg02L9cYATd36bZZryG3RUBZ2QMHdXlqB3qtrN1DwQLshE8uAVCqaS81jQYH77Kl4UKmIWybKKWG2QYrX2h6ssd/t8QzsGnNG+IDXsOoXurpnTdRvK1NmoHV/vesPM88bVG3W6SFI3icj+yi8vg9Qc1ypoZKts1qr6ulLmSXZVzrUh2xdcWrNdMvCqsijrp0CZGutAgNoL+BhwnHrGRHnRt5EFOsRdbjxQhv8wXlpqtIazHghrQI8TnsiHr0AF1C+mLMfcyf3LxPPFvlOaCmPIoNS0dxcXFKCouRmx0FGy2oHUUZcmH20Yjkgvo2bUTpv46FwtXb8SZXdoBTrG+cTZsDUer02CP4nniawNoFpyENAS9pQgU50Pwe2vgJjVHCQgpFnNbh7qJ2T65bMiVue4YwynsBnlZf5DIE0j5kZKGhUZMMuwJDai1x8mKk77FczgcVN0mqRqOawAuU9OROmpGjlBm5CrsTg9csUlwRcdzkl0LYSdBQNr1gaN5V8ATVfvMxSt1C7UHaBpdnHkG9hQtya5I0mOvW/HxxE97y75Mumxv0AKegZfD030oJ9m1ENEeJ5omRtMUSCRvM2u+GrYAYIJaUMuryuQxkuyQZMpEAbRCXIQTbVNjaNo1TrJrH0i+7d7NEqkpf5TLbqlmCyaEu7aANZgis07desBbXm75WeoNP9i/T2M6Lk3nX3ABfvplpmm0ZCU4mknaIiI2PH37NXjli+/EqOSpTeHudRFcnQdykl0LQdLNOhPS4SDZW0hwu2pFePGMasyM3Ox5TJcriVBm5CY5wQXZ8iMqHvaGHeAgwc5OYpJNYBNqrCdc+0BTWvj98Pt9x6mVMFPlasnrrsg0VnpWzYiUssi0RuQYuxPOyGia2oKjbkAQggjm7Efw0A7YAt7qdXlQSDZdCe94M39qqcya7wuDZOvKuMZcPNy/Q19OFKIu3Zu55j+bdmJHgRdX3fUwNxGvQyC/Y0GZD3klXgSJw6ou5ITWVNzcdJxdZyHuq5p5rBrd2Wyf/Oxm69aBz4z+3BW1AfrjTUi2/r7S/ii3A+mxETS1FEfdQFAQsPdoKTZnFaLUF6RlgxSJoFSfk/1mBkHitsrp3GZm43KfXTQrl4+TnS9U9wN5TpQizbo0z8/ORExcHKKjouG02+AgEzETpvEopblu3cGcL0fGp9vsQElhIa679hp8/923QNAPW9APBMg8oFv3i+sBcU62EXV06u+LMeyScUht1urYfySO4wL67ZcVIVBSAJDfuXovLi/UBKkzvzY7GqXZJi2w50nLtP/P9rEMx+ouFE7fyhMNR2LGSWkiboV6RbS1hNsHP+tPeXxuXMuINl2o8Bgj2Za22+1wkKBbPA1FnYUQDEA4sgfBI7uAQDU1JuGq2SwRryzRZu+htW80VbRNlewKqz4TJVtPtKVjbDFJCDTvguim7ar2zjhOOAiJKCj1Ir/Uqwbz0pFsjc9xLSPaVSLZ4YyD6Zct/Fnle3scdhrhmufDrrvwBwXsyCnClqwilAfEuo4YPStKt2kf/tiItjYeggnRJuRXOk9MD6cn2mqO9mkfvY2uPc9A1x69KcmmZFvO2c4QbZlME6MWlmArJJzJ837rzTfhkYcfRoumjSnxIqRaJNYBDbnWkG2HG/bkxrR94KjDokRpoUi4q40uhWlVd0xkuyKhj20QtOKZoe+vIdtW/acK/iZXBOyJGbBHxqG+oV4ONdOAaS43HE4XVbgJ6a534w2kZVJ8OgjM/n7R90I2IZcLHQlu5iCm+CSSJo8YW6dBTNts6S1hS2kKIe8Qgjn7gLKimr+xGfGtidtoRmyZexlGaUM+qDlIJyy1OZzNOsGe3IiXhToO0qlOiPIgLsKNonIfnXyBoEHJrs2oLMmuzpJHgpslRrkR7ebtQl0HIabtUmPRMikae46WYHt2MY6W+mvkXvoBK6tjzIIXWiEuMQn5ebmW+/V0Q9MVkjYS126ZVpDpivFXYdIXX+CpJx4T63pqAmuXfLYlc3FBMhmPSoCdkOuIWN4u1HGQ6NcOYuYcEYtgeTGCpUUQAr5qjOVEcBz4B+3Om/lYW0Pp+9NDiaIgFQqqLsgcQncPaLfbIuNoMF6Sqqu+8oV6qWibIUiCpvl9dF4vFO3KmpHbSOBMNxwuT51PHs8RGkJRHiXcQn5m1UZww1G0TUy7a0LRtjQXNzMLD+tvIxG1IuBo1A6OJh1ofniOkxdlPj+Kyvwo9RlJRu1TtLVqY3WTbMOYFQ06akNChAsJUW64iCzIcdIiq6gc27KLsC+/FIFg9SnaZi6eekVbNhNXzqlA0T60dxecDjuaNGthqmizJuLKdp2ibVS3gYsuvAA/zPgWHqcTNkE2Gydz0m8MwuGJpoodiS7OcfIi6C2jZuXBcpJfvfaZkZsq2lb3DKFoa65pMCMPoWzbnbBFJ8Iem3zS+1+HA060rczK/f4a8OOueQWvugs6UTwJwSb+1/V1NKq+QvCVQ8g9QH254SsL8ySGIKOWEG3TRqHyZdGW0ABOQq7TW/DBpnqGQDBII5UTlZv6cTOoOaKt/qsnxiyJVr7uEERbsCBElW6JBDUfMyHXsR6uXtc3lPoC2JFTjG3ZxSjxBapGsuk/WqKtKSVMnATFVFwm2syyFdE+cmg/jhzch+69+qr+2XbZTJwh2mB9tLV+3nrSTc795OMPkZqcjFEXj4BNCIrm48SFjuT/dUfwPlI9dL0jCneAWAFW1Y/7hBBt+R8Lom04LoS/NrvuiYI9Jhm2qHheFhhwom0B6pMUCCAQ8Fejys32gKpSqMy6a9VUOFlTD9KwOJ1wON2wO3iKrvoOqpQVHIFw9DCEgmwxyIvxKOW71phr1yaibWouHrr82KLiYE9tBkfDNrDHcj+7+g7yPZX5Aijx+qnazaK6iTa9nwXZ1hNq8dPXKuDVTbRddjuN1h4f6YLHyduF+g4S0+BAfhl255XgQEEpfIGKvyarWAcs0WYHrlj/bM1yBUR7+8Z1WLZgNq6/60EloJlMsvVBz/QB0oyqtqpoFxcW4uqrxuOnH2bQjDbE/dBe7dGpOepkH8lbShVukiKsUiJdrSPamoO0/tpmRNvphi0yFvaoRNjc1ZmL/OQBryFCJbKnZNMpku5gEEGJdFfd2l5uQWTfjEqOARsiQ1flOhZXdzhpw0EItp3nv+Zgvw3SkYlPA+LTaGAQYlpOiXfBEYA0KtKnWKG5eG1AhebiNtgS0uBIbQp7WjPYoxOO48Nx1IWyEOl20ol86+X+ACXehHTrle5quZ/0L6XGJlW9SrhrptwR5TrG7aT+125OrjkYEALaJCGSToR0ZxaWY39+KZ2KvFbiRAWxDqxIdiXffGRUNEqLi1VrD1MIauQZcdG4m1m02+1ISkrCF198gYgo7jLEoesjETXXEyWSbl85JdzUtLy6I5YfN4TgFu4o2CNjKcG2uTzH+8HqHLiiXQXIpDtASHdQ56wUNiprumpFtCtzDS3ISCyZHE4HDfjAwVFZCKWFlHAH87MgFB8N/1s8UYq2GdEm5SC5kahcpzaBzR3JPwSOSsMXCKDMK5Juv6ZdqLqiLcNMrdZ87hVEG7fyz9aXVkJqot1OcfI44eTxODiqgLxSL/bnl2H/0VJkl3jV78skPR4baVxZ1qX0UgOhaaOPi8tGRZtm0wj6ERkRqUnr5dSYjhv9tPWpvchAk8flgJsKENx1jqPyCPq9EMpLKfEmqd5qUtFWU3tVcL1Q5uL6ZyLLpFx4osWAZmTiVhyVAifaxwhR7RYJNyXgpIMVlqpXWTNyM6ItnWt6unYjIdI2h52q1WQifkXc55qjOiH4vBBKjkIoyYdQWkDn8JXXOtNxW3Q8bHEpsEsTWSaxCDg4qguBoECJN4la7vcH6ZyofiecaOt8aUkAM0omnA5EOO2UVBCywcFRXSAWH4Rs59LJh9xSH91GwH5q4RJtNrWXJvUXQ7RLiwrx9Udv4ZYHnwyLaJO5x0nKgp2WBWK94XbwPhJH9YIOAJF+kt8rEnBCvEkaOHHv8SHZyu4Q5uIOF2yuCKpW0znJMsTFuCqDm45Xh4k5Gd1xVJZ8H4sZue46+oidZKSXNCacVHMcR9hcbsXEXBNQjRBvhXwXSOT7OJiYkwElMvoamwR7XDLsJMVEbBIfjeWocVBfULsTES4t+fZL5NtXDeS7MrBJpNpNyLSTqHTinJNqjpoGGchpHB9JJzagGlG9KfEu8SKPku9gha2CJoe9PqE9A7vDjsP795lfwwZKqqNcDuoCIpNrXhY4jks6VU8k4IlUKINKvssRJP0lQr6rbG5e2fbEBrhcsDkJoWYmTqqrFVzRPk6QozBTRYFR2qjPa1Ccq2VEVR3UNkSOBkJGb9nJbtjGwVGbQb990pj4yiCQaOakcfGWS+ulgLcMAhnlJeWDDFLRgSqSq5ScrWQ1JvnmADraGkFTbhGTb2r2TeaeSJ5WgqPWgw7K0oFZAQFpTtYJKZeX6TGsos2MzcphaqgqR8k9Ue/sEtEXJ2L+zc1eOepEoEF/kJJwMi+T5/4Ayn1BlFFXPbF3RPo5shsE8Z0m6rYYVdxOlWiXXcDKvxdiyNBzKKn2kG1OcR8pExwctb6PRMW6gGFO+0ZkXbFOErkEVbTZESiZHxByT4Iak5RbxHLPIc2pZSu35Dse4ESbg4ODg4ODg4ODg4ODg6MawSNgcXBwcHBwcHBwcHBwcHBUIzjR5uDg4ODg4ODg4ODg4OCoRnCizcHBwcHBwcHBwcHBwcFRjeBEm4ODg4ODg4ODg4ODg4OjGsGJNgcHBwcHBwcHBwcHBwdHNYITbQ4ODg4ODg4ODg4ODg6OagQn2hwcHBwcHBwcHBwcHBwc1QhOtDk4ODg4ODg4ODg4ODg4qhGcaHNwcHBwcHBwcHBwcHBwVCM40ebg4ODg4ODg4ODg4ODgqEZwos3BwcHBwcHBwcHBwcHBUY3gRJuDg4ODg4ODg4ODg4ODoxrBiTYHBwcHBwcHBwcHBwcHRzWCE20ODg4ODg4ODg4ODg4OjmoEJ9ocHBwcHBwcHBwcHBwcHNUITrQ5ODg4ODg4ODg4ODg4OKoRnGhzcHBwcHBwcHBwcHBwcFQjONHm4ODg4ODg4ODg4ODg4KhGcKLNwcHBwcHBwcHBwcHBwVGN4ESbg4ODg4ODg4ODg4ODg6MawYk2BwcHBwcHBwcHBwcHB0c1ghNtDg4ODg4ODg4ODg4ODo5qBCfaHBwcHBwcHBwcHBwcHBzVCE60OTg4ODg4ODg4ODg4ODiqEZxoc3BwcHBwcHBwcHBwcHBUIzjR5uDg4ODg4ODg4ODg4OCoRnCizcHBwcHBwcHBwcHBwcFRjeBEm4ODg4ODg4ODg4ODg4OjGsGJNgcHBwcHBwcHBwcHBwdHNYIT7Upg0qRJsNls+PfffzXbFy9ejNGjR6NRo0Zwu92Ij49Hnz598MEHH6C4uNhwHZ/PhwYNGtBrfffdd5b3y8rKwtVXX42UlBRERUXhjDPOwPz5802PnTdvHt1PjiPHk/PI+Sx2795N72k2TZs2rTKvgqOeo66XBRnr16/HpZdeitTUVHg8HjRv3hy33nprpd8HR/1FXS8LTz31lGW7wNsGjvpUFgi2b9+OK6+8Ek2bNkVkZCRatWqFe+65Bzk5Ofxj4KhXZWHr1q245JJLkJiYSI/t1asXfv75Z/4VVBYCR9j4/PPPBfLKVqxYoWx74okn6LY+ffoIEydOFP78809h1qxZwmOPPSakpaUJd911l+E633//PT2HTOeee67pvcrKyoRTTjlFaNy4sTBlyhRhzpw5wkUXXSQ4nU56DxZknWwn+8lx5PhGjRrR88l1ZOzatYve84477hCWLl2qmbKzs/mXwFFvygLBggULhMjISGHo0KHCd999R8+dPHmycPfdd/MvgaPelIV9+/YZ2gMykeNI+cjLy+NfA0e9KAtZWVlCcnKy0KJFC2HSpEm0jXj99deFmJgYoWvXrkIgEOBfAke94QtJSUlCp06dhGnTpgm//vqrcP755ws2m432lzjCByfax1Bwpk+fTtevu+46IRgMGo4vKCgQZs+ebdhOPla32y0MGTJEsNvttKOjx3vvvUevvWTJEmWbz+cTOnbsKPTs2VNzbI8ePeh2sl/G33//Tc9///33DUT71VdfrcyfzcFx0pWF4uJiISMjg97f7Hk5OOpLWTADaStIh+qKK64I8y1wcNT9svDJJ5/QbfPmzdOc/8ILL9Dtq1at4j8zR70oCzfddJMQEREh7N+/X9nm9/uFDh06CE2aNOGDTpUAJ9rHUHDICFBiYiLttIeLAwcOCA6HQ7jkkkvoaBK53rPPPms4bvDgwUK7du0M2+UKX/74yZysv/jii4Zj27ZtSwunDE60OaoLdb0sELWCHKsf7eXgqG9lwQyPP/44Lx8c9bZdYFVIAkJAyPaNGzeG/Xdw1G/U9bJAnrdXr16G4+655x56DWL1xBEeuI92FXHo0CHq3zl06FDqu1AZv41AIIBrr70WgwcPRrNmzfDZZ5+RAQ/NceTap556quF8eduGDRuU49jt+mPl/Sxeeukl6htCnrtfv37c54Kj3pWFRYsW0Tm5PykDpDwQP6SxY8fi4MGDYf8NHBx1vSzoEQwG6fO0bt0aZ555Jv+BOepNWRgxYgT1zb733nvp+UVFRbStIH2mCy+8EB06dKjEG+DgqLtlwev10rg1esjb1q1bx3/eMMGJdhWxd+9eOm/RokXY55DC8fnnn9MgCOeccw4NbkCCEOzatQt//PGH5lgSeCMpKclwDXmbHJhDnlsdywbwIAXkhhtuoEEXFixYgE8//ZQW4osuuoguc3DUl7Jw4MABOieBPvr27YvZs2fTztTcuXMpuSgpKQn7b+HgqMtlQY85c+Zg3759uO666/gPy1GvygIJTLVs2TIagOqUU05BbGwsbQ9IEKhvv/027L+Dg6Oul4WOHTtSMk0Gm1j89ddfmmtxVAxOtI8jFi5cSCNaXnXVVXA4HHTbNddcQwsQGaXSg2y3gn6f1bHs9oyMDHz88cc0yjJR8caNG0dHa7t164aHHnoIfr//GP46Do66UxaIakcwZswYvPzyyzjrrLNw0003YeLEifS5pk6dyn9OjnpRFvQgZcDpdNJOHQdHfSoLeXl5VHgoKCjAV199RftH77//PiUXw4cP530kjnpTFm6//Xbk5+dj/Pjx2LlzJzIzM/H4449jyZIldL/dzuljuOBvqoog5kUEZHQpXJAODMHIkSNx9OhROpERVEJ6Z8yYQddlJCcnm44Y5ebmakakyHEEVseajVyxcLlclGyQ87dt2xb238LBUZfLgnwsGSlmIY8cr1q1iv/AHPWiLLDIzs6mrkTnn38+TSnDwVGfygIZdF2zZg21bCJCRP/+/XHLLbdQ0k0sPcicg6M+lIVBgwZRRZ0MNpEUd6Q9+P777/Hss8/S/URp5wgPnGhXEUQd7ty5M618wzEzJSNDpHAQ9OjRg/qDyhPJq1dWVqZR0ci1//vvP8N15G3ErImdWx0r7w8F2d+Dj1Bx1JeyYOajxIKXBY76UhZYfPnll9Q37/rrrw/7b+bgOFnKAiHZhECQZ2dBnocgVGwDDo6TqSwQEDX98OHD2LhxIxXiZF9vIkaQQSiO8MCJ9jGAmFEQU6M777zTEJyAgPg2kIJFQApFaWkpHQ0i/hX6iSSNZ81ByCjW5s2bsXz5cmUbMe2eMmUK9Rdq2LAh3UYahZ49e9LtxN9aBvEz2rJlCy6++OKQfwPxRfrmm2/o/UnwGw6O+lAWyDVJY/Hbb79pnpOsk+fv3bs3/xA46kVZ0Kso5BrDhg3jvz5HvSsL5Jz9+/crMTxkLF26lM4bN27MvwqOelEWZBA3IhIEkPADMgBA3E+JewUJzMYRJsKMTs5hkYBeToPSt29f4bPPPhMWLlwo/Pbbb8JTTz1F8/TKCehPO+00Gtq/tLTU9F3KIfPXrFlD10nieJIonuSr++qrr4S5c+cKI0eONE1A/8cff9DtZD85jhxPztMnoL/77ruF22+/Xfj666/pOZMnT6Y59ch9yd/GwVFfygIBKQskLyW5HzmW5KIkz9WtWzehvLycfwwc9aYsECxbtoze65FHHuG/PEe9LAv//vsvzVlMcgV/8cUXwoIFC4R33nlHSEtLE9LT04UjR47wL4OjXpSFzMxM4YEHHhB++uknWg5IirvmzZsLLVu2pGnHOMIHJ9rHWHAISGEZNWoULSgul0uIi4sTzjjjDOHVV1+lSejXrl1Lz5MLkRk2b95Mj7njjjuUbYcPHxbGjx8vJCUl0cTxvXv3pgXDDCTHHtlPjiPHk/NIQWExceJEmrye7CcFjRTkc845R5g9e3ZlXgMHR50vCwR+v1946aWXhNatW9NnJc98yy23CHl5efwX5qhXZYHghhtuEGw2m7Bjxw7+63PU27KwatUqSkIaN24seDweSiyuv/56Ye/evfyr4Kg3ZSEnJ0cYOnSokJqaSp+zadOm9H58sKnysJF/wlW/OTg4ODg4ODg4ODg4ODg4QoP7aHNwcHBwcHBwcHBwcHBwVCM40ebg4ODg4ODg4ODg4ODgqEZwos3BwcHBwcHBwcHBwcHBUY3gRJuDg4ODg4ODg4ODg4ODoxrBiTYHBwcHBwcHBwcHBwcHRzWCE20ODg4ODg4ODg4ODg4OjmqEszovxlEx/IEgysnkFydfIEi3BaQkaw47YLeRERAbbDayboPDZhO32Wxw2gGn3Q4Hnch2G2x2G2wAbOQEDo46gqAgwB8QaBnwBYPwBgR4abkIIBAUaJkIBgX4BQH/rV6FDqd2RZAkjyQnC4DdDngcDnicdkS6HIh02RFF5w5eFjjqXFkg3743IE3Ssi9AyoHUODCJOElVTyep3nfabXA57HBLk8shrpPtvF3gqEugGWeFIJ0LQWlOywCZa44kByvLNnmRlg3y3YudKZvNARtpLGx2XhY46hTId0/6QqR9IH2hgDQn62xmZrZYKCxA4gx0UniEuEx5A+cLxw2caNcQisr9yCnxIrfUh6MlXpT6g/hywqvoNeQCNG/dTiTQdrGD5JY6SWJnSdzmlAoGId4y0WbX6TaZlNtsKC4swKOPPIL333uXUHRamGx2B+wO0rhwwwWOEwdCpMt8AXHyByih9vmDlECTtoI2GpRsiMtywyIT7eKSYiAqDkeKvfQcSsIJAZcmH7MuN0Qy+Y51O5EW40Z6rAcNYiPoNg6OEwVSBgrL/Sjy+lFc7qeDrYRQk2+XgBIE3Tl0nZJqG0Ou9ceIG+T9LETibadlIsrtEAej3A46YMvBcaIgBAIIBvwQgn4EAwGRXEvlgHzEgvwl049d/rBtOqItzwnRFsk4uQ5tWOh6UNwuT5R422FzOGBzuGFzuWFzumlfiYPjRIGIbVRwCARo34j2gUAGmYztAQtDkagA7ECVQsAl/iFODrqNo3rBiXY1gHScjhSXI6fYi2yJXJPCIo4miZ0nMk9Ia4jy0hLlPKn5UHpNcufJrGgZtijHitO6devQrGlT2ngR2hL0iw2OjbZENpFw252wO5ywkYl3sjhqymKDkGl/kJLqMh9pNEiTIfV15LlWmjBA6T8B2L5pA1YuXYwxN92lbGMn5Xjp2uReRd4A8sv82B8sxX+HiXIuNl5xEU5kxEagYXwEGsdH0omQDg6OmiTVZOCVTDKhDgdsJ+pYuj5kIMofDKDUF8DRUp+GgFPizck3Rw1DCBAy7YcQ8CHoF8m1UmnribTNFgbJriKCAQiCHwLtH5G+mGxK6ISdEG6nh5NvjuNKqsmcGV/SSNLVSbL1oCo5tSgkbZVfIeGEaLsdDpF4O4mFFCffxwpOtKsAUkj2HS3F7rwS7MsvRZk/qFEbRLMMIxHoM+wieNxuDUFmFQp6DVmZMNxVvr66hz3m3xUrcNppp0k3Y+4smWEFacNWjoA02kuJtysCdpdHHNHlZiQcVaysy30BlHr9tCNPyCz9TyLEleAVBohXAg7t34sGjZqq5FoWKEyPF02q1Ekk9fKz5BT7kFXoxeoD+aKSHgTS4jw4pUEsOmfEoVliFC8LHFUC+fbzSr3ILSaDrV5q9n1M0KjT1a8yUBP10qCGfBP3i/hIF+IjXNwFg6PKEIg67S1DkEy+crHCJgRaIc6KzGA815Jky8cfY7kygzQQgHJGCHG6YHNHwe6J4n0kjmPuIxEyS+Zk3RLHiWRX1I6VBv0o8Yrr5GkJ6SbWgBFuJx2g5XyhcuBEO0wQNWJXXgl25ZZgf34ZLSykHZBJtSi1iY0C6daTYiJ28OkSLRW/TPoA3fufjfaduynthkrQpbncBoUoaNrt4nHLly/HjddfpyHY4n3lZ1PJN9kukFFlfyGCJfn0hnZCut2RsHkiuak5R0gQhVpuOIhqp5DfGnhvpAy179IdTncE46unVbwN57ATQ/glLz91IICq3wIOHC3FvrxSzNyYiTiPkxLuUxvFo0NaLNwkKAIHhwWI9UYusWIq8VLCeiwDS+YI3eGqbpBB4/LCchwp8lL3JWIBEhfhQozHSds6Do6QqrW3FMHyEgjecsbHgXRqwq1HQ5BshWeThZpobbQQ/D4I/nyxj0SsAT2RsLujYHN7eB+Jo8I+EukblUrkWkZ4NWjNkeyqlhxRgQ+ioMxH24EIF7GEcsLjcvB2IQxwoh0CeaU+bD1ShJ25JcgsKtcqz9KHTgdqw/zwj2YfQUJKKtSmQ+tzx47Zavzy9PuZNofMA4EAysrKEB0TbaJmM8VKs87IgsScyl+IAGlQyDXdEbBHxMBGJu67xKGYhIuNBqlwxU9HqLDypvvI92qM52QKjXm5tG3zulXoMWCIegzzHzlQHNCSn0Zl2fIzKqq2onCr2xUCLu0jZGnRzhws3JFDiUaH9Bh0a5yAHk0SuYk5BwWx3DhSVE5jcJAB2JMTxNwcyC3x0Ym0P7EekXQTtZv49XFwCH4vgqWFEAi59vu0qnU4nSKD2bjhgJqT7iqDYADBsiIEy4ppsh6bx0NJNxUnuBseh9RHKvES8cFP+0i1EtUwRkXi4JD4IsXloiVUhMuJSLcT0W4n9++2ACfaOhClemdOMdYeKsDeo6XKdmtTCVG1Jh9vRQP+nXr0QUJymsG/Wh8Ax7LN0W2X56tWrUS3bt0sSpFRzdaQbf1ECEdZMQJlRaJvd2Qs7DGJ1Myco36BkE8v8bP2+qiZqbiNPYIMFIkElbpKWFTgok2HOCJFCHdl6/lFv/2CPoPPZx5MO04kq9vshRX1WiHZjMm5hmyrZu6yibl8DgnaRkzMV+3Px5QV+3BGiyQMbpuKJolRlfwLOOo6yPdAiPWhgjKNqfXJC23rQ8pEQZmfTgdtpUiIdCM52s2DC9ZD0HqyrBDB4qMQvKVSx4dE9Zbc3qhxXxVIthWhZsMoHwclu2II1Cw+4C1HwJYvKt0RMbA7XSf6wThOQFkgyjUhncS6qS6AFrsqWiDq+3hklaj2ZIAh1wZEe1x0MNbt5HFvWHCiLaHY68d/hwuw7lABDaTEwpJiixbhCsmWDcXNQKJquiMi4XIxlTGjUrNm43plW696K88kHT9r5kxceOGFjKm4nlCHULNpWgyWsTD7yV9UfBSB4jzAFSkS7qg4bjZ1koNE7S6nJk9+xefarIuj31ahsl3hnSWzcCaYLJ0Fg3C53TSQlGFoSPfpakgz458tX47RwpXiwPqUKwRcF+qABHZbsPUI5m89gjYp0TizRQJ6NU9CZIQn7PfKUfdAgvplFpbhUGF5nelI1TSIFYhsLk8CqSVHualfNzctP7lBApkJRbmUYBOFVyHYBIrJktxJkTtHVjBIC5LbHdP7qYwyfqJAAkqVlyBYXkqDqNk90bC7I7gPaz0wDZdV3ZA+17UVVRizqujPJPsLy3x0IgHUSJsQ7XHyskCrx4rC/57k2J9firUH87Etp9jSv45VnfWm4/K6GF1czlsn+W5LEfzI8oHtm7Bk1g+46t7HaFoVl5TCi0b2k9J6uewkxZeaO1tN5SVus8vL5Pr0GPE+l4wcge9nfEfX5eBnNhr0TEpzoaS/YNfVFBjqsbrjWTVcSY/hgC0mCfaYJBoghOPkgT8QoOTa5w/o1GKGrOpMu40kVUrXpT+OdEik9aDBdFtgUntBSdMl5tIWI4aT/XJqL79uYlN70W1SuiSSo9sfJHnq1eNIAymmDxMHFMQ0YiQlmPrcyvMrCrdW9Q74/PB6y+AqycPIs3pgcNs0pMRwwn0yIb/Uh0OFZTSwmXYgp+aaS9lqShlMZVyH1IMY11fNZulcE0sos5Rh1s+gtneVAWnLkqLcdOJxDU4uCKWFCBbmQCgt0CoCsIvKNbMuLsvbZZVbXVaDobH71M4UJdr6gGmab5Edha1Cei/SCinHydcJBebeynOY+Y6rzynYHHBERMJBgqhx17uTCkS9Lir30eCvxnq24vMrOiSs+EwVGX4gfDc99Tg1Rz3b1zNbV50GQx9HZoQLxRJ3o0g35Tr1FfVW0d6RU4wle3KRLXWkagryeOyGf5ag0+lnEO8eOgasBFIzkHfdNl0HTDxELYj5R48iJiYGDuInJJFlpcGpUM2W1vV2t3qwu4J+CAVZCORnwhaVAHtCA9hcnGTUZfhpGi4fJaH6z0D0sbbRb0pgR0KVEVHj0Kjslx1OwQplck5A8qq++tCduOfFd4yfrlW0cVaZruyoraKqm5Nssrzy6zfRtPc5SGndGd+vO4Qf1x1C7+ZJuKx7YzSI4y4WdRlEpd2bV4JiK6smQgZqgGxXhgwfH5gpkvpt8nuw0YGsrCISRK2c+nCnx3ng4eaDdRpCcR6CeQcAEjWcEmOpoyzX+zbJ0olW9oyqXaGaHQbUXKcnHqHYjRmEIALU/a6EBpl1RkbTlKocdReEWOfTTBJB69owDPfRY0FlSHZNIlySrWTiKBEzcZCAmikxEfVyILbelf4D+aX4a3cuDhaUHTPBtlIV5M+eJciDR10Oj8ulDP4Swq0n2apSIe3TtTd6320ynzdvLgYNGqRVoVkFWgjhmy2PArPyo97R1YyEy4WpJI+aldtjk2GLb0DTYXDUHZAgetQ8XGo8NNyY8aeWybb4fZmAId/iJ6Z4ZYcJc1ZOthQXFyFAIuSzX6L+c9RV7qJYYRyh1X/bptfTFQc9yd67Yj6cbg8l2fL1ydtbsisXy3fn4ey2qRjVtSESo7i1R10Ciaa6N68UheW+kN+trQbItkG1Nus4VYNaUjmYXa3Cp6TIL/PRiajbabGeeq1k1EUIJfkIZu8ByoupBZtIsJl+gOzkCV2kS3ld6m8IorN2mB+mxllOt+1EmcuGkb/bFnoHSW3m9ZfToGnOCK5w10UF+2hJuWVwM3Wo8dhRoaNFJdoAjRZSQzCQbMNc6+pXWO5HQXkREiJcSI6pX+1CvSHaRLn+e08uTc9VGQpQEaz8q9mmoiAvBz9/9i6uf/BpybRcTeWlmpqr59Nl+WT9PXQEfM7s2XjmmWcYEyqWITCkm8KMVOsn6Ai7fKre3ErdJxRmU98tW1wqbPHp3FyqliMYDMJLFGwSPVyjKqvsWlal2eBlBhG7gppcr2wrp0kL4ZRCv9eLbmf0N2xXP/HQVxE/V13EcSmtl5laLZtRif9qVW1/MIDkNl2Q0XWAweyKPqsAzN2ShUU7sjGsYzpGdM6gKTA4ai9IEBdCsEmAM6GaAsYcC/T1vnbBjOqG2HmcBUSbiXUAySueEu1BaoyHRyqv5di56T+k20sQESgVCTaZiJUc/WWDUhwaYjnHtAimqrY86iqvh0FUZf/sGpfm2PIiDQRQaEq/xbK0rigezMPLZuMWfwPJJ07cjRyeSDgI4Q473RnHiQAJAksINiHaqnBWM/fSkmiLQdcqKtlmX3eNQUMX9IIdFOpAsjnllXmRFOmhLnf1IYOFsz4oFUv35mHLkSLRH5TxN60OKL7bjIrNBtMk63/+8DU69ThD2Sf7cNOJVbU1yrZ6Xb0Zubzu85XjyJEjaJjRQOtfrUyiKbBVpHGN75LCHGTfbOZYC5LNBl8j9xeOHoZQcEQk23FpPO1FLVSwP//8c1oGLr/iClPyK0NVssUVPafWVo3W+rXZebKNRTiqt8PlQve+AzXbxC9Qk9DLGiZjT2ZKtbwsX185XSHmwOZZXyK1XXckxyVrDlC6nVKnstwfpObk87ZkoWd8GcYP6oGoCK5w1yaQDtS+o6XIKfbqvk25JieK3PHqoTBQ+unsv7q53pLqGLl2aJJtRZS0263uS8oOMSkn7zk11oOUaDcPmlbLIJQXI3BgK3Ysno2nZi7AxOcehJ0QQdqnIB8kqf1Egq0o1Qihamv6IHqNzeIZNPJEDUNp2GSybXGMZUELRbJD/w2B8lIECOGOiIKDpAbjuelrFUh8F0KwSXBkAptJ8ONq/0qV+td45XBJtpWt0fFuvsR7qv0ovSWiIO8PEvGznA7GErJNMliczME0T9phNZKOiOTDnbxyHzZnSST7WLVsC4smMzWbmoZL25LSGqDnwHNEgk23syq2RLhlAs6Sbf0omu4eC+bPp2bjGiLNMAlCpG2a4B/6SONs6i82AJp4jFYVD0GyxRurPty5+xHc9x+CRTnH8rY5qgmEQPq8Xvi85Rg39jIsWrQIM777ztDB1rsxyPv03WlN5a+/hnId6w58ZarTLetWYcncWfq/yPpvNexlK3025ri24tcbeiifu6xqB4PI3LgCSS06Gu4lWDxWUXkAb054H9d9OBN/7+RloTaA+IztyinG6gNHaUNvYs+jfOWG+remYLiH6jqk2arbyHbMjpWmqIO44qR/G6EeOpz7koCDhwvKsCWzkPrscdSOKOL+nWvgWz0HQvZeDDytM9o3a4xPvv2F1neaAKmWE72S2m9gJjVWjFHd0oJtKCrDZCo40JSlMCqIYZm9v1WrVRmSbfG3kICaZSXwFh5FgPi/c5xwkACouUVl2H+0GEUSySYwDL3XGHOtomTNfuYm0/GirmaEWtmhJ9nMsSS2x6F60C6clESbKBVTVu3DqoNHaaRipXMdRiEx/V4Vddkk+riJmq0q1zbM/WYS+g0bDodDR6glgk3cFFizcc1cn/6LbYtswPczZmDUJZco7IBGD2cJstnEEm+GOGuVb/kYCaYk27zBVc4LeCFk7kTg0FYI/pO3ANUFFdtbVkr9nMnPQ5SKD957D7/88jNNC2cgwyZk22qAqSKyoDm1irapxYWFiIqLlz4tJjWX7jitYcax2PxKTYEcDE3aSlSINoNHU7cIlZyzNlHmaNC5N4T4hnjvr51484/t9SQHc+3E0VIvVu0/igMFZdLAq37wxWjREDKSNztV4sPWn1tTUNqiqp19zD1Ls3LqCwq0fd6dW2zp98hR8wjkHoL3n18R2L8JCPghkHRdwQDuHX8x5v39L9Zu2kp8jNSJyUxCB+/FHBKGAXwVTN2oTOF+S2YEmNkXSuZTjlGHnrSRzK3uZzY3uWdYJJvpvOmvp0RoJ1MQ/tJi+EqKxIENjhMW6OxAXjG1fmW7xDK01DA0NHGHawjHOqh6bJDehr7rY/I36wexBd25emF0T14JdmYXnZTtwklFtMmPNX/7EXz730EcLfNLKYOkFEKV6HsbOlGKDzZLsq19s2VCvnfLeuzauA4eTwRN06VXsOWUXWL08RBm4wzRl+v8vLw8FBYWSmbjLOEVG0GFNGuIszg3VbMNSjabIsOMZOvfmt4XXJqXHBXV7cLsavylOcJSscvL4CsrlQihOjmdDnzy8SeYNGkSVq9aZRFwT2dZoUzWVbyhbMjbq8axKdp17oouPfuY5ra2+rsrU9YN57OkndmeuelfpHU4XTmKNSCxQt6ezXRus9tpGSYk7+FfNmDJLq5uH28Ve9uRIqw7VEDzobOR6Q3Vn/SvqmpLX7xGSTZO4X7cmkHbGuw0VZQmphJXkubhdTRlVHQk6dRuzTq5VYzaCDLo7V2/CL4Vv0IozqfkWibZQiAAuyBgwsO34YHXPkB5eblR1ZbaefM+hHIXZm62PwxoFGeTUmIgvlbXCeMY5TimsdJvr5SSzT6kjmQr56v7gwEfyosLEfDxsnC8VezswjIcKiilymqoL7Sir9ds4L+mcWIJN1PKNX+rifovmBN0jfuedCjhbRsOFyCn+OSy9DhpiDYZJf9y1T6sPVRQ6XMN6rUSqEwNTGYk2QwZNlOzAWxauRyX3/WIRLLVPNiqoi3NlQBo2ujjhuBqjDrx9Vdf4YorLlcaMVbNFhtBnbqtIdnsaLT4xWsItCaImhXJZveZmK6z+8iIeeYOrm4fJwQCfnhLixHwE/WU/T1UuN1ufPzxx3jsscdw6OBBU7KtUQDCUbUNUM8PKSSEwOED+1BeVma536p7Z3UMu7Gi0Vh2+44/vofTLaXuCoNkE4XivxkfILFJG02ZLvEF8PGS3ZiwaAfN1cxRsyBEbsXeXBwoKNVVU9qIqGzDr469s4Q7dH9dbgNCocL9hgtWXEZCDXvZanW3zoaAQNrtEq5uHycEsvaibMEUBHato6RaJtcIkHlQId1pCbG4cdR5eP6DyaLSqlG19RZyVpWg+Xajy5nhAO23ZtlwmOwI8XmG4z9tqmSjkkq2hkTr1BjlfO2xUjg5+MpLabvN1e3jo2Lvyy2m2RHYvgDbJ6js8FBlj6+oRjX7GjXdsJocqQ0Tod6bWfuq71tp0rFKVou+gIAd2cXYklUIr//kULftJ4OK/ceObMxYfwgFZapvRUWQv09ZZWaVZrpdIc/mJt9sxHDV51qd//XrDAy99HIkp6aJ6jU1E7fBzqjY7PkaYq03GdeRbvJF/v777zhv2DBdQDO2IdQRZisCTk3BWDVcXxosSDZbOmTF3HBt5hpkKs5FcO86rm7XqIpdCl9pieRjZ2JhwCh2iYkJePvtt3HzzTejpKTEQLatJ50qZ2ZuzpQzdYVJgKcn9hbYvHYljuaGtoZQ/iqG+cqVtp4wq+eoI6wVNY5kwMLudFcquF9x9gE07TUEkfHJ2kE4qV5ZczAfT/2+Ccv35IZ9TY7wQRSKLUcKsfpgPkr9Qel3ZpRsHdlmwSrb7D62bg7fGkprIm52rkLiLcqPcZu50l5ZsO1Kla8R1lGhSpiNtttbs4q4ul1DEHxelK/4HWV/fg2hMI9RsP10EJzEVSHrIqEW9118Vh/sOnAI//63kfHXZvoYil8207+oinJdE9A0MjYLoqwjvGaTrZIkWztKHcJnW0+y1XOCAT/KS4q4ul2DKvaRwjIczBdVbAUWZNu071ANn7h2PKniSOO2WqFaM6SYOUA9JoSaLRg36/tg5LeRA1YTJpFT4sWqA0eRWWgttNQV1GmiTZzop67eT00CqwLZt04h0Xa9352qahvScsGcZJOzfv38PRzYtRUeT6S4nRJsqIRbQ9zVIGgK6VY6bCypUe89f95c9O3bBy6n06hm68eRFP/tMEi2riENSbINaraerFvUUiRYWuZ2BA5tERt6jmoBaaC9JbL5mf73Z3835vsH0KZNG9x9993435130grOMEDP9v6t5joYrO90BMXsdKuGxOfzweUyz8+uUSINn5qaziu0mbmVDq7C4XThjFueQ7gozj6I0txMtOx/odECRrF4saHUF8TkFfvw8dLdSpRTjmMH8YNfvieHWjnpxx3NyDYLrduAOiilDjGF+O7DmKxOVK/ODEbJcxMxjrWmrUonzNydo6IepHZ/+Pe1VXi9gBCkv9eunCL4ub9qtcGfuQdFP70H7+blVL2mJJsq2OJcUbUVE/KgQsRfv+cGPPrmpzTFIiXgbN/AULGaxWw5vtD4YpuwFA05Zsm2ZWGtqrm4juTribueZBtGuxh1m/anOKoDpT4/9uYUIb/MwkTfjGzXlC+2Uv+akOwQjUVFwkRNgCXZ1seoLWaoiUDbHsvLWpItk26SwWVjZiHWHsyv077bdZZok5f//YZDKCj3V/rL03Z8Vb9p+SOWg5NZE2yVXIum4KoSHvCXIyElDZf/7xFFwZbJtUqw5WXGN5u5p17RVp6HPLwg4MMPPsCtt9xi9M22IMyUiBvMvkxINkPMZQVc6+utJ9VGQm8wLbOaivMQ3L8egrekhr6Q+gO/zys1yhZVoSnZlkmEgLPOOgsdO3bExE8/FbdV0P9QBn7MtlXQ+ddy94oL7uW33I22nbtaH8D8PfpR1nBog2GE1gSFmfuwdfbXhu1Gq0AbHehYNfllxKQ20g2Y6SxXmGn94QK8uXAHjcrMcWzYn1+Kf/fnocQnqdisaVoIsm0yTmNUs5UlE7eeSkBTZpiyoImTZDlopSXix9LpYts/UXGv6Grq/mPv7JG3KxEXJce9gHxJ3S6l+Ws5jgVlG/9B4c+fIJifQ03DKdGWSLU4+cXBbkXd1pLulPgYjDv/bEz4aoZqQi73JQx9ALOfuCpMJATDsNxWWV/tEGRYQ4wrItlmJFo/CsY2EhYkO+TgeTGC5LfiOCbkl3pxIK+EBmPU1+2aL9hKlNXYOFXXKFLFtShbK7PjNMebbZsNQOjfhFCBmg0zazKZXNNYWgJ1J5JJdjAoKMuZReVYujsXhYTv1UHUOaJNXvziXTn4Y2c2/ZH0hNnU1FqC2rnRncPUh7IqXSHBVlRqkWyTBmrKa09h4/K/cfaIMXASgk1JNhNhXDqPRhqXFG6NyblMVAQBb77yIvp0PxVL/1qsqOZkvnjhQnTp0gUJCfEqWWbVbIY4E4Jt00UMVSOHWpBs+Ty9Qq0n9ZptCI9s6+ErR3D/BgjFecfxCzr5TMX95aWhjpIPVtfV2k757e666y7Mnz8f/61bJ+7T1+66PorlnN1kIAnaS4X+48R/ZnzxISY8/RCuP6c31q9YihMB8n795cyAkFlAK2lb7o51aDv0MsSkNtQQbHXwTqpHJBcS2aqG5JOc8NdObMosPCF/48lQFjZmFtBAKmTgWz9ajjDJdjhdKFbwYvvk4dBUfd9eQ7JD9KNo1vmggE/fehkj+nfHymV/V+EtWT1VTZ8R3lXkd09UDBIojccwqBr8Ph82f/MJiuZNh+DzIUhItsYfWzQZVxRseTs1IfdL6yKxvvK8s/DnP2uw71Cm2O4rkWX1fQ4zizo2xVc430MYZFk6JhgM4vkXXkTHzqdi8V9/mV9OIcU2C9VbR4T1UyiSbRhpsyDZ7DVsNghkMms0LUAUbS8xJafxVjgqC1KvZxWWUfNjne1SWF+lniuq51SObFd1QDYckLLw6ksvoEeXzljy12JUByzFB6NWY0q+TSdBnBMOJ84ZUk3n4kSClxKSHZD20XlQQKHXT7nfofxQ/d3aiTpFtMv9AczcnIn1mYUaNYAly5QQSxMdpdd39i1INt3H5Lg2J9haFZv1u/76zWfRvuvpOP3MweJ+xhebrIvkWu+frSXv5H5lxSW49drxeOPlF+D2uHHpiAsx+fPP6HOSEc7XX38N/7vzDrUBM1W1WRVbr3QbCbmqYFeGYOtMxPWKt9lkRraFIIKHtyGYd/D4fEQnE8kuKwnTl0v//rXLNkGMgD9hwgQ8+OCDKCwoCDXOX6GvNoGVsl2ZEE0lxcX4bfpUzJr2BVwuN568YQzmfjcFxxvRyRnwxCUp60qdw0wkL+q/nz+PlDZd0PDUPgqp1pNt2X2EHcST3xuJNzH5371YuINH6K8MyHv7Z18edueVMuZnQpXIdkWQibH89VfKX5oxEVfPMgmAqe/rE7PHkmI8cus1+PjNl2kgw9vGjcT3X01C9UGoYZId+vqquiGuk99xZ04xt/KoJIKlxdg3+U3c+sRzWLptL6Nky2TbrzUhl/21CcmW9smKN9lH+hnP33kNnpjwmTG3tiZVqPQragbWTXriZmAbEHndcIC6WFxcgsuvvBLPPf8CPG4PzrvwIkz8bJKJ0iyvsqNhJoQ41INZkWyzYTEzks2Qa6GyI3MMfKXF8Jdzi6fKgBC2A0dLaFpHKwYdDt22JtvHZ2Ay1JdaXFyM66+6Eq+++AI8HjdGXSTyhapC/7dZ/a3a4TMrMwAjWxcslGxZzdaQa2lOfkc6F4DcnFyMvGQU1u6vW5lb7HUpeuz36w/hQL5Y2chKkJWJt7KdUae1+7VRxNXAZOYKtqpEacn28jk/Y/nsn3H1A0+h/7CLKKEWlWxZvZaVbYlwm/loS89xcP9eXHL+EPy5YB4+m/I1/vx7GcZffS3u+d8deOC+e/HehAkYM2YMkhITdQSaIcgktZfGTFxtGCmR1hNwhmSHTbB19zaNRqqZKq6dhNwDCGbu4BE3wwAxJSOj3GTgpdKwINsEaakpePLJJ3HPPfdoz9EHOwuhZsPQX1LNyZnLWSp3bLTxO8dcgIN7d+Omh5/FOz/Mx5BRl+OjZx7EZy89RlUb7b0ZCm9izWIG7QCBNdzRsWjUtR8KD+813U/U7iXvPYQW/c6H0+VWSTarZmvIOVsHsfWOuH/etiP4bt3BOu2TdLywZece/LR8I7KKvBpTM8VsnI0uXiVl26h0m3ez1QEmq4EpzfkhLK/0OLx/P66/ZBiWLlyA1z75El/PXoyLx12FFx6+B6888aBaFpjrh4LNcqtQgx1G9myhUnFYduUU09+VIzS8mQeQ+eFzcO/fgY8vG4oJ81dg4aZdCPoDdBLIxJiQU+KsEGs5ujjrpy3OO7Voggi3Cys3bBF9hoN61zSrQXT2t7Y0NA3xnei327Bn716cPWgQ5s6dh2+mTcU/y5biumuuxu3/uwt333c/vD7GldBAfBnSLG+zMh+XFWjSs7Ii6IZRMeOy4V5VkTYl+L1l8JUWhTUgWN9BRLk9ucUo9pLYAhYHWfRLLd/ucXjtpp+GRWdp3969uOCcwVgwfx4mffU1/vh7Ga68+hrcd9edePj+e2l8m2NWs0O9O2Y5pJINY1urCXympGFmyLU0yW06Idkk3eCr99+MkTfcgU05Zfh7d06diedhE+pAqSWJzBfsOAJvQM1fq6nCldEpdYd2YEVakypLth5WOsCMImcw+ZSWCVj1+avXn0VUdDQuvuF/cLtdKoFm/LKJCbnTIc3lSSbhdC5eb9XypbjlmssRFRWNSVO/wSmnnKIo45MmfkqJdlxcHNasWonU5CSRXNNGT2wobYLUWApkWSK/9CNkiDRLoJWXxJBslnxpRqRN9hk+G/ZYBibmU+p2Y4AQuKNhb9AaNqe7ah/LSQ5iQkZyY1e91teNuLMj9bRTATzzzLP0+xt58cXacRJSGTJBxjQVKHMcW4EqpkL0XN1IprSPWinKlWsQWLl8KR6++SpEREXh/pfeQZM27REZG09HNmdO+wKfvfQ42nfvhVtffB+RcQk0eiidAkFmmVxLWg+I28g6HR2VJlqpSxW5WvmTyl19ZvlvK8zcj3XfvY9eNz2rRB8vL8jD1jlT0Wn4dfCWFiI6MU1HsqVBOsWSBabLpgNzdhsaxUfg0lMbIi7CPBhcfcfBglLM+GM5jubmICY2Do1btoYnIlIZuKT1N7OsDqzoSLFc72uEKO1ArLTVso8sGP41Qhl4klY05NvkwuTINSuW4cGbxiMyKgqvT5yKNu07Kvu/+/JzvPrkg+jesw9e/OAzJCQmSdexfk69aFhRyjHts4cPIeQe7dU0ec1NryMg0ulAq5QYuJ11Rhs4rij6byWOTHkPCPrgcDlhdzlRLgi4fcYfuLLPKRjauQ3sLgfdbnc6YXOqc5C5w0WiPsLmkNfJPrLNRY85lFuA2158Dz+8+7x4DJnsDtEHzuaAIM1hE/3iBM0yu88mrcsTKQjyMbS0akdzGWL795IlGDv2MtpH+m466SN1UhqmTz79FPfc9wD69e2DKZM+R0oyESPM+i/6/g9t9QzvU9A8B1tYTdpP/bommriOnIcFs4IgbqPU3eaAKyqmUlkw6hMKy3zUvJj0LzS/kr7ONakDDT+z4djQIoL1sbpjTOpp9rM3uw6LZUuX4NorxtGy8OW0b9Cx0ynKV0P4wiMP3Icz+vTFJ5MmIzEp2bQ+VoqH9K+2T6c/RjBsV/uFFnFQNBZl0JmJy5Znoi+2VslWfbRlJTs78zBKSooRE5+IiNh4ZV9ipAtntUpBtJsEhq69qPUl9b/DBZi9NYuSbMOAojSxAcYo2WU7s3KHlm4jirJ5fmytGbcu0BlzbknBUXz/0RtYv3Qhxt1xP8bcdh88hGQzHWSniZrtNDyfGuTs2ylf4PKLL0Cbdu0xa/6f6HTKKWpEcwBXX301unXrRn0xBp59NjZt3qRGETeo2XoyzarVehNzRv1GKAWb2Wfh8601F2Omyo7jeEsRPLgZAusTy6EEPRNJ9rGgYjPyhx96EJ999hkOHTqkKWcsIQmlals1NJr2gi3DzI4fv56MOy4fgeZt2uLD7+cg90gWViycp5x7zujxePSDqdizdSOevmo4Duzcqg72sg0mQ67MWjrWxD2cLlBMWiOkd+qJha/dhl2Lfkb21jVYNeUVZHTpC2dEpCnJ1gZCM3NbMck+wFjQkAAgk1fuo3MOLTZnFWLxzlykNW+D9qf1RubBA3jmliuwcvEfSqMtN+R6w5pKKdtWvmqG70n5mi3/Y0m29js1vyYpC7eOvQgt2rTDF7/M15BsglFXXoP3vvoeWzetx9XDh2DXts2mUWzZe+lur7f1M1k+ViVbfz35ahW/VaUTJ4j55zdlFqCER+c3IPu3n7D3jefgPZqPQJkX/nIfAuU+kKHq9y45Cz+s3IJJi1eLijaZJPWampIry0xbLm9jAqNlJCegXfPG+HvVf6btvuqLrQ7gG39NvfQVft/g888/x7Bhw9C+fQf8tWgRHQhmccP112Hmzz/iv//WY8DZg7Fx8xaTQX2W8Jr7TWsVbHkgQCcpsusaBdsuXUseMKiEP7imIghd4oiZv7c4v2oWbSc5corLsf9oCSVnRsGt4lqnQiW3hlCZsZgpX0zCJReej7bt22POnwspyWZx9XXX49sff8aG9f/h3EFnYcvmTdX6rNpXI4SpZkOa1MCXSnRxjb+2KoDIJDs/LxdvPnQ7AoGAhmST44gl248bDiO7uHb3kWq1ok1yqP2z76i4UjmXlrDrcJk8qNG+zVN4lRYWUIXt/cf+h7NGjEHXM86kJJpN78UGP1MINqNksyo2mRN/qZeeehRffPIhLr/6Wjz30quI8HgUJVu+1jNPPYFOHTuid88euHT0GOzdtxdffPIRzjtnMGxy2g1prqyzJNrEJFwl57TmNlezzdbNFG/jW9W9YFvFirbuGMHugiO9FWyeqEr86icvSIoVv6/cYO6tgWkHR4a+AIVQtm02bNi4kSrbU78m0bblTohKSmS1WiUx6gimuE814TWuqwRIMQvy+vDaM49h2mcfYcS4q3HnEy9QReXfvxdh26b1GD7+RkWtJpXwwf178Pr/rkX24QO4/pm30anP2XSfj6jWioItq9lBSeEWl2U1W62wVRVbo2jLpExR443vVhMfwoRkawbw7PqBNikrAVs/MOq2PGAY7Xbgks4ZaBAbUdXP56TC2kP5WHuwwOAy5Csrw77tm+BwOJDSIAMpaQ00QSblQJfmlkxmSreqgovFx1zBqArYgSs9/H4/3n7uMXzz+ce4+PKrcf/TL8HltrbwObB3D+65bhwOH9iP5yd8jAGDzw1TyTaqy2bPWR2dMTMVW3+s0VpNtWCTd5Fy0SYlBjGe2q1gHC8cnPYVDk/7Ak6PEw55Iqq12wmHm8yJIu3AK3/+S9MkPnxhPzg9bqpmE3XbRianqFpTVVtSs6FTtMm+A7lHcf8bn+LrN57SqdriRFVpskwIpzRX1W51UtRrO7tuM1W0/YEAHnzoYbz//vu4/rrraIwaEqNAO1AszwXs3r0bo8aMxd59+zDp049x/rBzTPoxOnNTTZtqVNKNhV5HikNGEbfabgGr9l3ps8n7xGd1RcXCTn4nDhwpKkNWYbmp6mylbLN1u8mvZlJvGq9dGUVbO9DKZJAwESr0x5N24clHH8YnH36Aq665Fi+8IpUF9jNhlvfs3o3xY0dj3759eP+TzzD03GHaYxm1WjMGZlCudQPT0o3k/lFINZvpOwX1irVOuWYDn8kkmyzPmjYJrTp3Q7P2nbXHKmblAlx2O87vkI70GA9qI2qtor18bx6W7zta4QiTlXqg5q82ToryrDPf1qbtEo/xlpfSvNjvPnwrjT58zysf4LS+A+F02DUdZPVaOjNxE5JNrl+Yn4cbxo3ClM8+wfOvvomX33ibkmxNFHIbMHf27zh69CguG30pWjRrij/m/o6BA/rjkrFX4LW33tGMRLP+11pfbO124z692s1sk6+vpPdgVe4QQ1hVHhKUGjghgEDmTgjlxajv8HnLqZodEiFJtrRPQxTZzoduvyCgU4eO6NevLz795BNNg2Fwr5B3MHO9WZShwZGVZgn5R4/i9vGj8e0Xn+KB517DA8+/rhCLlu06otsZA7SmvTYgrVFTPP75D+hweh+8d9/1mP3lh2IecF3DKjeq6rhO+NRBIVtKHAV98Ddrkq0PdqiNPK41KZeDoylRyNlsBzYx2NcP6w9Rf9X6DhL0jAy+Ki4CzOCL0xOBlqd0ox3Pdx75H/6eM1MZGVcadXYEnvXfruRz2I51svgWC/KP4u6rR+O7yRPx4POv4eEX3zAl2awI1rhZM3z+42z06NMfd187DpPef0tDZEOZMIb6y6tpTCHklcIh2ewOMmC2JauQmofWd7xxzbV447EnUV7khbfYC1+JNJV64SfKdpkXgbJyCF4fHhx4OlIjPfjflN9RWlyGAIlG7vND8MuTHBBNUrl1bb8gBNAoJRExUZHYvGO3tTWbhtTSBUntrvzHlZeXhxEjR+Kjjz7C22+9RYN1KsRCR3Rl8tu8eXP8MW8OzhzQH6MuG4dX33xb/cKV4yRCr1eaDQq27j7yuYwooIkirlG+9dew2FcZsCSbzoLwFeUjyCOS06CJmYXlusF/8X1piKP0j3G9av3VcC2eQpFswzEmOJqXh7GjLsZnn3yMV15/k/b99SRbj2bNm2Pm7Pno1/9MXDV2NCa89YbaLpiQbHOoJJvdpKjTFanZDMkOKi564ZFsn8+PaR++gcGXXmlJsmXxpswfwE8bam8fqVYq2kt252L1oXzDiJSVH5t+u37Uyvwsk1EkRsU+mp2JbWtWoPUpXbF783/oPeh8g4KtKFZg1CobNMSaJeLyebu2bcEt4y9D/tE8fPDZFPQ/cwBjqi5FJbYDq1b+i5dfeAFfT52KCI+LpuoivtikYn36hZfw8utvYeyokfjgtRcRRfw4Q/hoKybkSmMYwh9b33Dqjq/oi5GJltYkKpSizTRwsumVwjSccKQ0gy0iGvURPq8XAb9XM2pvNeJt5W+mHKJ0FlDBCL24TCq2ERdfjA8++AAZDRsafG6MprlaX2w2jYPWZ1utaLdt2YLbrr4M+Xl5ePWjL9DtjH4aAlVe7sX8X3/AwOGjJEVaUqilZZ8/gBkfvo5Zn7+LHkMvwqUPvgC706NTsWV1W/bZDoalaGtfr7bBVt5cGEq2vI31w1ZJthQ8kU52NdiiTuEm1/E47Di/YwM0iqufyvZfu3Ow5mCB+P6UelJ9P7KrDdkm+L3Ytm4VUtIzkJyajsjoaE2qRbZNURXv8BRtwwBTFWDWbpF24d7rLkfB0Ty89OEknN6nv3lnTDeQJYO4Fn3w2guYOOF1DBt5KR5/+W1ERkVK99NfI/TDHyvJDt1xs1n6ZYvVnLbbq1dXyJw8fvu02Hobv2DLK29jz6TJ+LUwB6uKC3BPuzZokhgjKdsOqmw73Q7YPS44iGubNJ+zfT+mrd6Md688D6mJcVT5trtcsLlcdA6qbrtFNZv6cLtUhdvhxMotu/DtvL/x8v23qKq2pGxTv2zFZ1v2ydYr3JKCLft0Ex9uA4EFNm/eglGjx1CyPfWrr3DmmWcyfz07KmOubJOy8Mxzz+PlV1+jIsUHE95CZESEeX/HCmbWXhoF2zCCrDuP2W6oMCzc6kIp2kr/jT1fXHfFJMDuqp9xbQ7mlyK72Gs6sK8Z1KyEsh2uos0i9LHW9bbpscy+rVs348rLxlCy/dnkL9FvAFsWtDB8UZSUBvHyC8/irddexSWjx+C1t99FZESkSpYZ7q1fVuKym/lnh+GbrTEJD6qKdiAMJXvKhJfRoGkL9LtglKWSrQ2oJtC+wfAODdAkQWz3agtqnaK9ZE8u/j1wVIlEJ/5wbEh49Qc3M/fQdJ6UdF3aSencMqbdZN1fWoLy4kLMnvopvn7zOSQkpyCjcTP0HXKBRsGu9MREHF88fw5GnzeYjkb9POdPiWSrvuNyp3H7li145skn8fnnnyHS45aUaNEsnOx/5uH7MeXj9/DDr7MweMRoHDh4UKtk65Ruw3ZlLpueq4HVNNuk88goN8njqk3xIU26MSxx7EZP1K2gDzSiC0IiBBHI2YdgPfTZFkl2BcqNEB7J1pygGUxhtumWCWF5/rln8fjjjzMNlr4B0w2C2awbJX3/Y+G8ORh7wWCaumvqzAXo0be/Zj85nJg7LvztR5OSLsJut2Pkzffh+mcnYM2fv+Pd28eiIPuwhsiw54rPq+6Q19W/RZd2iyVdzDaN2TJLspkMBqySrVes9fEjTE3NGesWst8vAL9vzsThwto5aluTWLQzG8v25FF13+sPwhcQ6KS4BshB7qR0IDaHG+2790ZOVhaev/0q7Nm+VWzAmXydiiuD1JlQ3QWkm1ZQbamLVfhP1xn8e8FcXDNiKP3ev/h5HlWnKxoo1oOUhdsffAwvvT8RC2b9ghsuvQBZhw4y5VH9/mqSZOMYrx5OLUZ+u82Z9VPZ/u/Ft7FxwkR4ywM4PyYZN6U3xqubtmLG9r0oLyqHr9gHH1W4ffCXeOEnCrekcg9p2Qj3DTwd1078GZv3HkbQS5Rtn5hv2+8T1W2a5ktUt8W827KvdhDd27fE2i07EPD7dZZwWtNmTfpRusnMdsRcSvv999k486yzaYDZxYsW6kg2TNRiaRszwE/KwlNPPI7Jkz7Djz//gsHDLsQBKeaIRmE2VPYy6bdbK9iKqbvOf5sVEtiW0nJUzlQ5MkLJT25iuUYXg/AX5iIYVqrPkwsH8kuRVVQukS0jT2B6pYbtoZRtfRNQk2qkKcmWPp15c2dj2GCxLMxe8GdIkm0FUhYeeuxJfPjZJMz8+SeMPP9cHDx40ECsw4HmfVaoZKsCRVBqZ7URxvU5tFVRxuf3Izm9IfoTkh3iWL0ZerkviO/XH6TfRW1CrVK0l+3NxdK9eRozUbXzqi5DZ3qn8cHQjV6xnQw61ykWpPEoKczHp88+QInkxTf+Dy06nAKn3WHoKMsdYb0yIneG5WBnohLFKFjS/SZ9OAGvPPMEzh56Lt7+8FPExcYg/2gu7QxmZ2UhLzcH5WWlOHz4MKZO+RKXXnopjTBOTMqJoh0dGYm01GQ0SElGRloqoiM9WL1mLS65+kY6gvvdp++iZ9dODEHWRxtnTb/J29Cr1czQlEKY2dKobyilN2pqaiDnMWf8r/SKttKYWajZzH6BKttNYXfXDzWPpGYg5n3qgIUZIZbmEsIh2ppoqKFG7pnOxQMPPoQhQ4Zg0ODBxhFMVrVmzITMlWyx0iVE6JP336FlYeCQc/HihI8QERWD3LxcZGUeRlZmJnJzclBaVoqy0jL8OOUzDBoxGg6XGw6XB063G05PJGISUxCTRKZUGpBs58Z1+OjBm2iZHv/s+2jY7lRF2ZajjssqtxjtnKmkTZbZt8Y20FqVU1xg6xR9dHF2G+t/rV2W9ptEINe7tbidNpzfLh2ptdQfqbpB8oov2pWjVfoZNx31PaluP+Kx4npBzhGs/msBBg2/FC6aHULbrij1uDLIomabkAdSZLVDb12lV0DCgq5j9eVH7+KdF55E/0Hn4Nl3PkJUNGkX8pCTlYmcI1k0qnp5WRnKy8vgLS9HIOCH2+2B2+OBxxNBI5InpaQiJS0dqenpiIyKxsZ1a3D3tZfTdExvfDoFnbudxhBs+Su2fLRjRkU1UShFW98lMVO05XPJb9mhQRxi64nP9spX38d/L0+g0dflyeWyw+524Mf8I9hSVoz727dFSmwknBEOOCJcVOV2RoiqNvXd9riQ4/Xjrh//xAPn9cUZ7ZpJ+9ySsi3OISnborotKttk+eXJP6Brx7Y4d2AfUdW2E1XboSrZehVbVrtNIpKzPtqkbXrrnQl49LHHcd6wYfhs4qeIiY1Fbm4eMjMz6ZSdk4Oy0lKUlZWhrLyM+q16aP+ITBGIio5CWmoqGqSnoUF6OqKjo7Fq9Wpcetk42kf6duqX6HFa90oXUk0ebas+j5XCrVnWUTchPJVeO3DB9MfYILgAnHHJsNeTjC1EySamwmYZImTrJg0PMGuvw1G2TQSF6lK0rcQAUs+9P+EdPPPEY9S3+oOPP0V0TAzyaB8pE1mZWcjNyUYpaRdo21BOy4Lb46ZtgiciAlFRUUhNTUNaOmkXGtCysHbNalw9bgwtCySFcNfup9N7GtRqaUU/KBFKzVYy0uj6fkET1ZrNka1XuA/t24slc2figvE3majYcqYac19vedllt+Gyro2QUUus/2oN0Sa+d4t25ugi9Wo7QHqTPz3RNiPZbORhVrEqKTyKXz5/H7mHD+L2FyegvKQE0bGxmvMqMhFnO9L6IGgK0bbZ4C0rxb23XId5v89E9x69kJKail3bt2H3rp2mue7I9UghIeqG1+tFaWmpaSCm+LhYtG3VAs0aN8LylWtwOOsI3njqQdx8xaUqybYk2jpVU8o5a6lC60eo5Rdv1ugwZM3GNKhaoq3zh5IbW7quGzFWzM2ccCY3hs11chOM77//HqeeeioaNWwokWcrol0ZJdsa5p0I9f0XFhXTQZ8pU6YgKTnZ1FRIYy4ewny8pKQUd950Leb+NhPdTu+JJFoWtmPv7p2GfMAETpeLkgq7wwGfzwtvWZlpWYiMiUVa05ZIbNAIu9evRkHuEVx426M4/YKxpim+WDMmI8nWE22t6Tg7AChDU1+ZpfVifbLt5mbkdkM8B5Zos3UREOF04Nx2aUiOOrk7VYt2ZGP2lixtKjTGHYdYGsnvzMycXF0HZnz0FhKTUzHssvFiXa77vVg3AM0giQXRZtufyoKcQjpIj95xPf6cPQunntaTkuU9O7djX4iyQDpRdocdPq+PDsqalYWYuDg0b9kGGU2a4L+VK+gg7gPPvIgxV12vO1JLuKtTyT5eRJsskd++Y3rcSR8gbflbn2LJ46/A47DBY7fBTed2uu5yO+CMcGJXsAwfZ+7H+GZN0btBClyRhGQ74YwkpuMiyaam5BFulAgC7v15ES7o1g6X9T0VdhIkzeUWA6hJZJum2ZTNySXynVdchrEPv4xfP3qZptNjg6KJ5DpEcDSFdEttvtQ3KCkrx1XXXo9ffp2J3r16ITUtFdu2bcOOHeZ9JNI3ioiIoIEPQ/aR4uPRpk1rNGvSBMtXrEBmZhZee/lF3HTdteYvWW8WLm1TFsxMt/QXUBZNDrA0F7fYrskqg9BEm/pUELKdctKT7UMFpdh/tExHmNmYKbKlkTWRrgzZNg6wqv9WlWhbmYuTb/nm66/BbzN/RY+evZCamort27dh107rskCItcMu9pGsykJcXDxatWmDxk2aYtWKf5CVlYmnX3wZV117g4lZuFbdtzQP14kuZv2+oGISbmL6rTMnDwSCeOnu63HFXY8gtXELNe2r/ljW1c+k70aehbjajeveuFYEka0VRHtDZgF+2ZipdF60wYO0qjFLnm0WnR8NUTd0jAXkH8nCni0baA7sTqf3Vk06dWq3NjCZ6mep6Twz6rasShGCu23Df1iyaAFW/7Mcfy/6g5oBEzTIaIg2bduhTbt2aNWqFRo2bIgGDRogo0EDbNm0ER9/9CE++2wi0pKTRX9rKb2G31uOooJ8ZGZl4fChw8jMysS+fQewZft2bN62A5u27UBRsWhe3SA1BUP690L/Ht1w7oDeaJiWoiPZkqJtSq6NSqn42nTqNoGGkCkbmZoqXKKtLhsjkIopMxRzLodEtknjfhKCjEr+9fff+H7GDLz80kuMyZiugQ1FtCtbom0Vk+2Vq1bj3XffxcTPPjP6astkmzXFlZb9wQD+W7cOf86fhxXLl2HxQrUspGc0RKs2bdGiTVs0ad4KqekZSExJRWJqOmISEuFwR8Bmd+Dnb75EgybN0fH0PjSquNfrQ1FRIXKPHEH2kUzkHcnCkcMHcGj3DhzetR2Hdm+Dt1QsC0TtbtW9Dxp3Oh3Nu/dDVGIqMxoaQtXWd/aZYqF87qEUbZPo4mx2ArsZmbbL8R1ENxVKFPVEmyGBUW4HLmjfgM5PRqzafxRfrdqvUae1KrYdTodFxHadi5BcL3/15vPo0K0H+g45z2CRZGalpKrcFm1NqD63DkRF2LrhPyxduABrVy7H8kV/0o4RQVqDhrQctGjdFk1btEJagwwkp6UhNa0BEpKSKKFxkpzHDEjdTeqLkqIi5GRnUQU8OysThw8ewO7tW7GTTFu3oKS4iB5PFO8zBpyF7r37oN9ZQ+g9aoJk02erBqLN7lJNHI1Em8zIN9ClYQI8J2me7SnPv443n3gaQ93JSHI4KdGmk8NO50TVdrsdlHD7XMAnWQeQFOHGDW1aIjLaBWckiUJOVG0nnIRsU4XbDbgdeOmPlYiMcOPREQPpNjLJRFtUtwnZlrcRlduNafP/xt7D2XjopvGSnzYh105qeWbmp60n2qR+Xbt+I+Yu+BNLl/+D+X/8SQkzAekTtW/XDu3at0Pr1q3RMKMhJROvvf46kpOTKdkgJHvEiBEYNWoUXE4ntdwgZaGwoABZpI90+DAOZ5I+0j5s3boVm7dsoX7fRUViWSBq96Czz6J5t4cOGYyGGVJZ0Jh+y4u6IVUdgSblev+BAzhw4AA1yc3OzoGfmN8TZc3lov28NoTgNG5E66ywyTbTJzMo2rp+m0LGSd/ObocrPh028puchMguKsf2nGLzPr9uwFsmtiyprRLZtlS11aWqEm1igbee9JEWzMM/y5dh4R8LlLJAYuO0lfhCy1atkJHRkCrU6ekNaFmIiNS2C3L9ScpCUWEhjkhlgZSJA/v3YdvWrdi2dQu2btmMYqkskOsNOOts9DqjLwYOGor0jAwt0a5AzVZdfGG0XtQR44CiarPr6nGkfP7zxxz0GTbCeKzUP2ODmyp9OabvxlpRxrgcuK5XsxNu8XTCifbBgjJ88e9e+jL1KrExYq/WjNyYrkVdZ30n5eXS4kJ8/PR9OKVHHwy77BrddbT3kaMM6wm1Xs2W5yQy9JI/52HR3N/x1x/zaIcnOjoGXU/vgWbNW6Btu3Y0CmZiQoLGB1O+3rSpUzB79mx8/OEHiI6KFP2qmdRd1D9bDnYm+1Mrx4hkfNfefXjz4y9owV2xdiPWbNpKG4GuHdpQwj1icH+0a9YIMVFRJr66OrXa9LPQb2MJGbN+zERbJdsa4i3NbU4PHEkZ4rVPIhC1taxMTE8xZvRovPvuBKSnpRlHs8Mi2pUp1raKyTZsePjRRzFw4EAMGTrUMMKpkmxxRHbe3DmY/dtvWDBvDjV1ImWhe4+eaNKsOVq3bYcRo8ciJi5eqRzpaGaQmcuBz4Qg/ln8J7Zv3oiLrrpJDWxGGhNGqabblW1BZO3fgz+mTRQ7QZvX4fDOzbRcpLVsjxbd+6Nl77MR36A5nJFRYZiOi+9T3sSSa3mdtcSpkGTbzM3FNYq2Xg03IYXkXqnRbgxtm0aPP5mwJ68Eby7cTqs8M5N6+p4Ukq2q2oR4q1kjWPcd6Xcg32rAjxXzf8OZ543QvVfzuj1kW0MeVmeyyIKo1n//MQ+L5/2Ov/+cR8kwMQ0/tXsPNG7WHC3btMMFoy5DXHx8tb07uUMnuzzs37sbkz+cQL/pDWtWYsuG/2i5aNepM/qfPRSDhl2A5q1aIzomttqewahJs+9FT5atibamSTLp+MlbyXK024FTM+Lp73wyYd/K//DuwNE4UJqPJcGj6OCIQh9XAiIlkk0nYkbustM5IdsujwMLi/KwoCAXD3dsh4YJ0SLJjtCSbXHdjSlrtmJ9Zg5eu/xcRERFUlWbkmy3WyXbLo9Etj1U5R51/ws0KBqxqhNVbTEwmiEomkS0y8q9mP3HIvw6ez7mzF+Aw5lZiImJRq8ePdCiZQt0aN8e48aOQ0Jigvq92Gw4cOAgrrv+erz11lto164d3UzamMmTJ+Onn37CxSNHYsyY0YiLi7MwvRaXyXe1e9cuvPnOBLq8cuVKrF0nloUup3bGOUOHYviFF6Jt2zaIjSVlgWVK4jIhAus3bMTadeuwatUqas5OfGDJ4ECTJk3QsGEGVSCdThfdTkzcd+7cSdV5Mieke9zYsejR43S1rjCIGMb2XiXSxj6AksaV7RM4XHAmpFUYj6Guoajcj/8O5dNljfWqrn7WWr/qXU5ZbSg8sq09RzvWYtYfqIhok++CRMef8zvTR4qJwek9eqJ5C8IX2mP0ZWORkEDKQvgw6bao5t/MJ0b6OXv37MIHE96hZWHNqpXY8N86WhY6dT4VAwcPxTnnX4AWLdtQS9/QarY23WswDJPxoC7wGVkuLSnBvB+/wdDRV4VtMq5kFZFTsjJqutyOkOCx409rQq3f6iXRLiz348Olu1BUHtB2TCV1R1aPFUWaMeHWm3azhU1PzmUzwRULZiExJY0qGhpzcNZs0GI76wMozwnRXbtiGWbO+Aa//zgDpaUlaNWmHc4cMhRnDRqK03qdQQOZqTmxjZ24wvx8PPTAfWjRvDkefvBB2lEkX40c+IySbA3hlkm2RLgVAq5P2yUgJ+8o5ixait8WLsHsxf8g52g+IjxuXDl8KB64ZgyaN0rXVN7aLyGcz0L2w9Yp28x61Ym25L8ln8uoq+QYuycGzvgUnCwglQ0xn5MN15Ys+Ru/zZqF559/3mg6pst7biTauga7QtjCItslpaUYdelofPzxx8ho2EijagcCASxZsgTTvp6K77/7FiUlJXRwadCQc3H20KE4rWdvOF1uxm+HrYj1ZJtN3RREfkEB/pj5E4ZcMk4h4/ro4woBZyOTS/7YZCo4movtK/7CthULsWvl3ygtPEr9vTucdSG6jbgGMamNDIQ7rLdm5upioWpryDNLuC1Mxs2ItcHv22ZDi6Qo9GmWhJMF+aU+PDdnC/LLfaYDELKarU+vSM3IHayqLVkI6Mg2qWK/eusFNG3VFoNHjpHaE209T45V3rEyeGtiTUUeWNf+kM7K6n+Wiu3CTzNQVlqCFm3aod/ZQ9Dv7KHoenov6ktXU11gbY5sluSK3/TR3FwsWbgAixfMxZI/5uFoXi71cx1+6Thce/tdaNSk2TE/g1p6tMNTVSHa+tQ7VkSbzFOi3TQa+cmC/MNZeLnHRTi6/xD9vogus9FWhN1CKS50paCB001NxyMkdTvCYYPb5YDbTXy3HThk82HC4b24vmVznJaeLJqRk8jkEarftjPSDWeEB3N27Me3a7big2suQEJ8LPXZpoSb+G4T6yI3IdoehXTvz8nH9U+/hRkTnhcHikgebkK0GT/tAGz4e8UaTJnxE7754WfqOtS+bRsMGzoY5wwdgj5n9IbbE6G2++ygPSEk5eW4dPQYvPHGG1Td1oP4phKy/dWUKejStStuveVmZBB1OkzVOCcnB3Pnz8fs2XMwd+485OTmUrX8issvx7333E2PXrZsGZYtW05zdBMy1LlzZzp1795dvFclsHHjRkybNg1r1qymFmsdO3Zkns3Cck1a1hJq1f1P7R9o+wl2TyQ1Iz9ZQIJgrj5wFD4S7FKjMmsJN9tWGqxb9QQ4LGVbZ+1qSqQrJtrE6uKfpUvx3Tdf48cZYh+JKNVDhp6LQUOGotcZZxhSdlW2jQiXaMs1LLtOYkT9MX8+/pg7B38umIu8XLFduOSyy3HTHXejUdNm5mo2m31Gqr8DlTQZDwYFzP/xGyo2DRg+JqTJuBz4Tr4m6e/plWzZ1U/+HTo3iMOIUypXVk8Kok06wh8v3Y39+WU6pUfbKSWDEKyvtl7t1hcmJVctcyypiH6e+C4uuPIGGjhGDX5jrWSwnVy2g0auV1JUgF+/nYZvPv+Y+pYmJacgPjERLVq2xkdfTtNGFdYET9OS7eVLluCF55/FE088gT69eylEWVapFcKtKNkS4Tao3doI4crE5L0mOelufPxV/LpwKUrLy+no8tA+p+H2scMxtPdpVVMBJBJmJNvqZEq0TQg2JdB03RgkRSXe4j1kU3JHdAIcUdIodh0G9V0uKxejJTOV+ZjRl+L9999HamoKbLJKbTairRu5Zy4c3gPYwiDb0u+1ZdtWPPDAg5j+7bd01J6Q4ClfTsFHH32AnTt2ICUlBQmJSbRTNHnadFXpZqNKQh6h1OdTVANk6PMkb1i7Ei07dqHPpiXVKtnWEHQpGnVAl+KLTMT08Ld3nsCOFX9Sl4yAtxxNuvZB52Fj0fjUPvT7UhVtbTffxv6rU7RNgyeyubJ1dZtMwlXCaFfWQ5mMG+4BG7o2jDspCAaxRnhh7lbszC1WXXJ0ftmGdYedBj/RE2190DS2Lif15/T3X8Pld5DBTbvpAK9pm6A3JScPLZXZkqJC/PLt15j2+cfUzzoxOQVxCYlo1rI13v58qubvtFLAjyfInYmJ4ZP33YGFc3+nPt9Ege8zcBAuv+5m9B04iKpyVYF1zSMS/3BNxzVEW+eyouzRbBfQPCkKTRKI1Vbdht/rxRsDL8POpauU74X0JVw2G4psfvwRzEEHRzR6O+MQ6XRQsk2JttMODyHbRN2OcMDvtOGtw3vQPTEBo5o3pn7bopotkm1nhJuSbeK3vTYrF68s+BcfXHUBGqYR9x1Ctt2weTywy0TbrZLtZRu3473pMzHl9SdpWkWidBOSnV9cii+++wXvT5qK7bv30qCuiYkJaNu6Fb77arLarmvaemZAncBmw+tvvIEWLVpi5MiRId8V+d3JQC9JRUnMtceOvQyDzx5E6wbdkZYfJykLN916K3766WeqmJMBs8aNG1Pz9BtuuIHm6KYBdKv4e7Il/dChQ7jnnnvQp08f3HbbrVqTcoOFoRAG0WYC3Cp/o3DS9JGoq8GBfCrOqZ+H0d1TT7DNhDi9GbmiNIcg2+y95G0Kua+AaBcVFGD611/h808+wq6dO5CckoLExES0bN0GX349XXM9FlVpGY6FaLPLhC88cNdtmPf7byiT2oX+Zw3CVTfcgn5nDRLLrIWaTZY1Zt5BRr22CIBGjv3s1adw6S33wRURqZBos3RgbH/Sr8Tc0ZJstpjLv/ugNik44wQJEieMaE9bvR8r9x/VdKT0nR1NoCALs3I2oA1rNs7umz11Ig12NurG/ymdXQPJZjtiet9r6ZzMg/vx1cfv4efpU2mnZOgFI3DZVdehRcuWeP35p+jIT9/+AzRKumweyj7/0ZwcvPbqyyguLsaLzz+PhLhYTfquUMq1SryNpFypfGmKriAdQVP9slXTo8LiYnw/7y+8/80vWLVpO9o0bYQ7LrsQVw8fQhXvCsE0hKZkm74AewiibaVms6SaaXyZ4+k2hfzZxcAfdTwSOSHZJB+03vxp0aKFWDB/Pp555ukwiTZblC3Itylsock2+zvBhhk/fI+FCxdRoj1lype0UzJi5MW49rrr0aJVSzz1xBO47PIr0K//AA25NqZk0JkXsWbjOsL90avPou/QC9GiQ2fDPuK3rZJpsfKVybZ4PXY/Y34UBMpKirFt6Vysmfk1juzciPiMZug8bBzanDUcTpfHQAb05FqGGQG26eoPfaRx+ViDubhiAWNV92mJn7y9X/OkWhNls6r48O9dNACaWVugkmtRzZZNx+WAaC6yLqVhNJiZ69Rq+R3/8cM09B16AWLj4pggaqpZv95X22BKDuAwaRc+eRe/TP+atguDz78Io8dfiybNW+LtF5/GRZeOQ89+2tR1VetGVR/M7k58uefO/Blff/4xjVpOBggI4R552RU02E5VoNOilTtXlmgbO4Qm+V2Z63ZKj0NydN0OCDX52vvx9+ffan4rsd8iDdhBwBoU4jDKMdKVikSnU1S2CdEmZuVk7pbVbTumH83CkaAP97Vvg8hoj0q0SaC0CFnZdmNXYQke+fUvvHPFMLRomEpNy83Jtjh/65tfERERiVuvvBR7s3Lx5ufTMOm7X1BaVo5R55+DG68eh1YtW+LR51/DlWNH48wBAyom2hKhHTnyYkyfPp2S53BB/KS//vpr/PnnHxJJH0HvSYJFmbWFRBX/6+8l1HWPKM5Dhw7FBRdeiL/++gsffvghVq9eTX2sb731Voy/6ioa3Twsez+TQqax6xAETJw4EYsXL8bEiZ9SX3NzV75wibb+PBHOuFSqbtdlbMospGktTZVpk8xEFZFt8Ty9wh2CbJtFNtesG4n2wQP78NG7EzB96hRKVi+4aCQN+NeyVUs899STuGzc5Uq6LpZoH0vLcKxEmz1OrneJu8Rvv/yEyRM/xvq1q6mb0fjrb8bFl10JV4SH8c1W/bQr45sdEATk5+ZQ15OImNiKfbMZq0O2T6dXsmWwls5jujZCq+Ro1Aui/ef2bPy0XjSF0isWZiqG0lGtgGibdT7J/O9Z32PA+ReL5oYmqjXbAWM7YfK+7MMH8fl7b+L7qZMRExNLO1Fjr7qOBirQdIJ1OXT1yyRgzYfvv4f1//2Hu+66CwMH9BeDXAT9EoEOoWLL5JtRr9njNDmv6dct58MWi5k4yqM1LSI+q0vXbcKEab/ghz+WIiMlEQ9dfSmuuWgw3KEaNjP1miXbTCNqJNr0x7RQs3VEWznPqGarpN4BV3xqnQ2OVub1odTrM4y4St1RjLr4Ynz66adITkpiIpALFUQlZWG1XYJGubYi2+rvdODgIbz66mv45NNPERMTg5tuvhnX33ADMjIahRWBnPXJNiPdoiqtNSEnyxvWrcb8X77HNfc/qfXhpkSbUa0ZP222EtYS7aDi0yMTbkLOD21ejbUzp2LnsvmISkxBt5HXoe1ZI+AgKo3mlbG/kbpNrVdUyxoxI4GeMNo16rah/iPXk+ogduAvFMkmc7fDjoGtUk544I+q4pf1hzD5n72GFGn6d6SYisvB0CjhtmuJto5ki4q2kWwv/e0HGpxv6MVjDfW+WTwOZSAXwJHMQ5j07pv4cdpk6t986ZXX4NIrr6VB/mCSVrKugPrs/bscX336IebN+hkpaQ1ww5334uKxV8KlM20M63oW96gs0daTbKtzyZz8Rt0bxSPKXTfLwrw3P8W39zwX8ruRB/KPwIulyMO5zmQ0d0UiUlK2IySyHSH5bhNivay8AHPzc/BUpw6Ii/FQki2TbXEumpEfLivH3T8uxHvjh6FpgxSRbFOizZqRi3PB6cK5tz+FJo0aYNqs+YiLicaN40bhpvFj0Ii4GGl8t4m/ttOaaDODuuR3vOSSSzBjxowqv0fiF/3dd9/h77/+ooNFRJUmEwmaJgcvI/ciyjIh2B07dRJVa6XZFKjp+Pvvv4effvyRBq69/4EHMP6qqw1mvizMfjc9EZNBnm/hwoWY8M472ja+KkTbxDyewJXYQIwgX0fjdWzPLqbLBnVa0XvM42iENCM3mIhbk232PC0Bl/erRPvwwYN4983X8PWXk2h6uiuvuQ7jr7keDRs1Mr+vjBNEtA0kWzlPu5/0lVb+swyTPvkAc379maYMu/HOezFy7JXULZCNNK4xExcqNhuf9+M0uCKi0GvwBcy+CiKNs306yXSc/Tvkd8n2q6NcDuqvfbwHYY870SYjUx8u2SWNbWujyWomxn9RNSPX+XGbmHmz87LiQvz82bu4/K5HVPNNvWotqx3MsqxCFRcU4LN3XsP0yZ8iMjIK19xyJy6/7kbExsSYEmlzsg0c2LcP7054m85vv/029O/blwbloZkjNcq1TKqtybZhP7OPEGd5P10mk6bSVpVPfY7srXsP4oXPpmPanMVokp6Mp24ah7HnnKkxHVQUPAtTcUPe7LCJthRZHBYNr5L6S6tmK8/gcMIVlwJbFc0cTxS8JEpqqVfxETUj2wsX/ok///gDTz/1lDECOatqm45mM8uhinkYZPvo0Xy8+Mqr+OjjT2g+xptuvBGL//qLmtmRDoxSGTMRx0WCzQZK05NqPdkWK1O9+Tg19yYBzg4fRnxqOqNoG320VaKtHe3Uq9rKSKmu8ibPm3tgD/797iNs++s3xCSno8eY29Cm33ni96Ub5Vbelq4uUuskrcm4WX3G+hzr40/I9SNLrPV1HhuHIsbjwJktU+A6gYE/qoI1+4/i2dmbVRM+nduO0UdbJNWUXDPRx2Wizfpuy8HSlMEOZjDVV1qCb957Bdc/9KyxDdCr2tKctAuTJryG776cSNuFK2++A5ddfQP13yTH1DViHQq7d2zHR2+9glk/fIsGDRvh9gcew/kXj66USfnxINosyZabOUIwuzdKqHNlYeOcRXj3vGsQDARM9ioGkYqKR/46vy2I+UIOOjqi0cMVRwOlUVNyQrSlSQ6SttlXgq+yD+HJju2RFh9FSbZLSgEmE21HpAsHSsrwwC+L8ck1FyI9JZGalhNFmxBumWznlwfw4le/4IMZv9GnevL2a3Hb+NE00KVAA6S5ILC+2zZ5XjHRLigsxB133IFJkyZp/vJwYFb+SCTnvXv3Ul9rEjitUaNGlDiT1JHK27W2LKcBzV5+8UVMn/4NNSl/7IknMWbMZaZlIZSard9HVidMmECjQD/80EMqkZYfSE+0mRgtdBvbxzMj2mSbwwFXYgbN4lGXkF1cjjUH8kW+YKpGy20mS7al41gBzsqMnF4sPDNyVk3Xn0Pm+fn5mPD6y5g88RPqonrzHf/DNdffRAUJ8ZlDB1WTLivNw21BtK5t1UK05TqX2c4OPJEvbuf27Xjv9ZcxU2oXbnvgMZw38lJahs2CoAUqMBuf/NYL6HPOcDRu08E0CJqZOq4EQ5P6jFQ8NLFAVC2dxW+AkOwrujemKVJPSqJdWCYGuSnykRAZTGeK6XjK6oQmKq8u56zevJu8RI36IJ370ZP34uyRl6Hjab00BFs5Vp/zWnoOQlpmfjcV7770DPVNuObWOzH+hpsRHxev+cGsfK9lxWPd2tX45MMPUV5ehjtuvw2nd+9OQuUoFaRYcbJRxLX+1pZkWzpeJNOqEk4ij7OKN/3wDCSbgC1t2p9/0659eGbidHz/xzKc0bkd3rznenRr31IluDLBMCXbdomMVIVoaxVtjdk4bchM1Gwm97bdFQFXTOUiNJ5IkIoit7iEmoRrA2rpR1UFXDpqFD766EOkppA0baHMx3Wj4DKsyLcCmyXZDgpBTP7qazz+5NMoLSvDPXf9D7fdeisNfvPrrN+wbOlSPPPccwbzIXlkkyXfwTBUbbkS9Uv+N6w/9sI5M2ml2uvsc7U+3EqFqwuKJqg+2gZVW24EGDNyNloled6cfTuwYvoH2LlsHhq064J+1z6E1JYd5LfENLaM367O7URxVdETbb16KtVFZpkOwlGz2eMaxnpwepNE1BUcLfXhju/WoKDs/9x9BZxVVff2c2N6hhm6S+kWERERUEJAke6SbgFBuhtEQARJAQGlGwUBFUEEle7uzum4+f12nbP3uecOA+L7vv9vw54T99xzT+xYz1rPWou5T2jKBkURoYNmHWhbEMBBtuyvzQA3B+AmkdzltF9kmRgbTS0PhMWjzQ+Sr7aYh0ij2LF+JeZNHUcp4m26foIWHbvS/KQixIXRl+8flVSE/n+zmF375QvnMGfaJOzatpkGcxsyfgqKlSqTpmv8N4G2Lhyag+9MYQEoke3lRXT/t0vsg0cYU7wm4h89odvqq2DmCSPYJpXGjwGoZZu02zoBGRFKALbNihC6tGh+2yQ6+R2LE7Pv38SIokWQMyqMpv+igJsAbQ64CbC+FJOAcTsPYlnXBoiICIeVgO2gYJK3Civ2HsXIpZuQlOJE/9b1cS86Dk1qv4eqb5Vnvtq2AHjtgRxoB+oRyC1pA9pnz53D8uXLaUDQF+kHz+qCsjgkz5qpgW1Szp09g4kTJmDzpo14s0IFTJ02DWXKvGb4bUuaLNryvsGDB9Po5yQqua+BxAC0fdhszwDaRGUeFIqAyCz4v1JSXB78ce0xnERQkJ6TBnpNqeH+0/T6A9tpoZHL5zPO/8RFc/3K7zBl3CgkJyWj2yd90bFLd6SLZL7xsmLeH9BW2oSszX9WkcZDn90vDLR9QbZ2DiVXNnDx/FnM5vNC6XLl8dnYqShcotQzaeNugw/32WOHkKdwcdgCg5Rj5XSr2vkEeNd8s9nxZnhGV9yrMlXhzOGoWywb/lPlP6rq/f7ILcSmuAz5anW/TEXg1egBQhiXlHb+fkA8UOKM73ShbOX3GMimN6pSOnXArqaAuXr+DDo2eB/jPvsEFau8h237/kavTwchKl0knczshIbIK6Mkssi2oibExmDZ4kVo2qg+1qxciYEDB2DZ0iUo/3pZWOGB1eOG1eOExU2qAxaXEyBLuk3WnbB49HW6TZcubVurLgetXpcTXrHuTKHrbB85RhxLvi+qm1UNtOu1aN6cWDm2H3bOGomY+ES81WEgek2dj9j4BK2XqjT0VKyoz120Yc1ASwe3eMtgkO8XgNDlgNuRjP8rJTYphelDjOODbJKhxYK+/fph5swvtXv14RtRmp28U7J8m70b+f1pvyddAN938tQpVKlWE9169qY5R48f+RtDBg1EunQk6JYXH9apjdt3btM82for0a9Pe4XKBKkDUrN1n4wC4h+hgr5VGT+u+pa9dal5CL9FoQRj/Vu3hspVjvugX5+8rl9PpjyvovaAaag/eiEcifFYN7gl9i6cAFdSvDqR+3NtkffLMShkJZ2038zHW9Mpqb1DuX9Dz8D9+BTcjf2/0xe+3ncF0Ykuzf9Km2S1eUKueg50XSOuT7ba5CvlStcpbXxeMQgP3385CdGPH0n71GAqZHn57Gl0a1QLkwb1Qfl3qmLNr3+iU9/PEMFBNntXqiAlrI2WZ1S/5b9gFvf3k68WKoLpC77F4nVbER8Xi+a138W4wZ8iPj4W/+0iW7LFQry7RwkOPIj7v9MXVnYfjoRHTxjbzedTFWSTQts1CV7kZfUNb3qk89qxxnEfMS4PktweJLk8SCY1xQVHsgvOJBdyeAPQL1tejDt7DvdjEuBMdMKV6IQzyQEXr+5kBwpGhqPrWyUxZM1uuB0OeBxOnLx8A+8OnIHuM5ej2mtFcWLpZAxt2wAjOjbFojXbmMJfjhmjzd/PV2JjYxFpSHunTF1+alqKar2TqqbY8V8LFymKb5evwNYftyM2JgZV33kH/fr0QUxMrDStin+Gc/sBPqQQhcLq1Wtw5+7dNKkJnjcsmzclEe5kRsH+v1DO3I+Fw03V9Nqzp3MAH8uNinHdPU0KvCqBNX0O8K9Q0W1S0nFK1ZWA5M/Z06fQsFY1DOzTE+9UfQ+/HjyMPgMG0ZgfL1KUCOppmTv8NBPj7ufB7WZV/1QtBfi8sGgtmxfafPAuJg/tTwPA+VjFob8n7Wz8sycP78GZ4pAUAyYGI/k6JduhUD/qMpNcVfaC2E/ysF94xPKI/38FtP++8RRHb8VIjVw8dNUCpkYnTlsxUkGePLiLH5bPR8WadXVfP+HzqATH4elfyEFuN5Z9PQNtP3wPKUmJWLrhR0ydQ9IY5WAWb8lfnIFqUNoiiXbrcaZg14/b0L1je/Tq1gUZItNh1fffYdqUiSiYPy8D1BRUi6UA2fp+Brb5uqhOUlMYeHYmw+tI4ZWsJ7P92jY5hhzPwDUF2m4Xqy5S+T7tM+lzah13U80cq15Uea0Y/lo8GZ/3bouVO/bi9db98OvfJwxg+x/iav72dADJQaPPpGxAbsLWqwRVs8CVnMis/P/jJcnhQrLTLU2+ZhpEvV+8/XYlXLhwgebsZEV6XkqRn4+f4vd96SOgy+XElGkzaPRhktJr9/ZtWLpoPnJkIxpAaYQjwsH4CTRqPrOqm1nkDaBassKYghADeKTUaU6CILlNazduiZREKSK1AlLVatznC/wFiDcB/NL3cpcsj+bTVuOdjz/Dhb0/YNWnTXD71F8qu0a2XJuCbH4f2v3I16YrCXxp4WmjjBv3EyElMcWJ//Xy26VH+OPqY12YkucGbZ0LWRKA1gVroZzVj9WAtCzYSlZSY4mLeYqIyCipbejCjtvlwndzZ6JLgxrUij13zTaM/XI+smbLoTxvAaxNmSnPMFCk1mN9FFXPC9afo6QmuInyRsV3sGbnXgwcMxHb1q9Bw/cq4q/9v73Qtcj9/d8sFx7G09RA/+vl71VbcHTDDr5l9lCESOm/kCOKWCJQwBKG1Y57iHG5Gdh2e3n1INntQYrDjUxeG3pmzY3RZ87hSVwSXCkuuJJFdbKa4sDbubMhW1gIlu09gmlb9qLKiLlITHFg57ieWPxpO2SPCqdyRObIcMTExcORksz7m85YU6uqRPdXSJBNkmrreYtinU4FOMgCvwBpguZqVhWFH5mX36mMPfsPYMLkKVizehUqVihPXb2ELKsCbgl4K1ZFfYyy2WwYP2E8hgwZaiLvGIu5KsbPoVrvdMc9YYqQ//FCFMVEYWwGdBU5SQbeymeSTJUq2ObvxUQJ4qNt1XZ5aYT6OTOnoX6NKrSdrt66AzPnLUJWP+ne1HlB30eXYluad9Ja2KuVDBISl8Jg99B+X/5Nn2JyvzBRPhvPX77iO1i1Yy/6j5qI7RvXolWtd3D4j33KPVtSydhx/fxZPLh9XVIyKHdh/jxNZEpZjvRhFhrSq+698hiJTvf/P9Tx2GQnRu84iwSHuCmV9qGmueE+dhodUKIKSlYpU3off4izB/dA0279kK9gEdVybcypyvfduXoZoz/tjrMnjqF9jz7o0X8wgomfkuLTDfUcFiAlORFzZ3+Fgwf+QK3330ejhg2QLUtmzV9Wp4d7nhFF3Mz3mlDBXewzzfqs0sWZ5thNg5+RyJlnrt7A8YvX8SQmHgnJyUhISkFcYhLiksg6m/zkt50uPBTF8+VEq5rvIGeWjOrkJ02C1+4+RJdJ87D32Bn0aFwHE3u2QUhIsEQh1ylgJIiTTPn2Sx1Xoosbt03SfPlM2hLQpp+xdWtAIAJCmE/M/2IhvsIPYxPpJCkL58KSq1rE9H5y8OABbNm8GZMnT1L9sc3o48pnpBhmdh+4oY/GFy9dQYduPXH46DH079sbwwd9hiBCFRRKEOlZi2c/c9ZXiIyKQtu27UwsAxKFXNNIp+KrrUWiNMupzZgvW1ctQ/VGLXl6B+kzKXiaTCc3Bk8jgdLk/TKTxuzpyCXm/i3s+mokbp8+hDIftMQ7bfsiIChEGfRNQbYhCrbpZy8JZJP98bHR+HnNUsydNgn/qyU6yYHuqwll3KXtEwoPeZKUUz/K/tgs6rjuky2ij1NKubau71MikUvrh3/ZgYo16vj4aN+9dhlTBvbChVPH0LLrJ+jUZyBCQoI0ZYrGoDAE4GFdibMRNOFEovdJDUxua/90Iv4nM/mLgN1bN65hRL+eOHRgP1p26IJ+w8YgOCTE77Uo9yod4GNdfE7quNE3W/1p9l2SX7tk9sj/acr46GLVkfg42vCJ71hN7pYlLTUXQ4nnIWmXd5CMY4hFs8BsiNLSfzEaeXCADUEkSFqgDdfgwOKHtzGldAmEhQXR9F+CPs6o5IG4Gp+I+ku2Ij7FiT7vV8CQxtUQGhHOfLWpz3YIjWw9ZeVWVCxbBlXefhOWoBB47cHw2oPgDQgCLIQ2rruC6YOmOXV8+44d1Ke6S5cuphbgf9KezUC2ESCbnleaK+WfuH7tGnr36Ib9v+9Dl67dMWrcOITyvqB/V2d9mYEesT161Ci8Wb48PqhTW6WJa7Rx1S9buCNqnUAbdMxHF0sgoZBnxv8yZXzf1UeMMm4oOjhLxd1O9tU28eF+Hhq52dhO4lYM6NUFp44dpfmlP/lsMIJJH5AZcT6g2khpTxvIftaw7NfuK8ZEg+VYbJsqJKTxVk7Z5cPwki39Jhlkbl6/hjEDeuHIwf1o3K4zug4cQWUkdyo+2iQYWmh4JMpWran4aKcWwVxPCyvFnBJPU7bNmWSjEobXAhnDULPQv+9O8R8Jyfnd4ZuIT5E1B0LbKb9sFumRPEjit+rxWmDVBgs/Wg1pKaxRzuRklH+vFvISkC1ZjEQQHCFkiQe9Z/tWjP+sNzJlyYpvN/2E18q9IX1H+I/rL4kKYfBg3apVWLXyO3Tv1h3DBw/ig52U31pLv2UOqlWfazmdl6BxuzWaNwPc3C+bg+6kpGTsP34Gvx4+iZOXbiAwwI7i+XKg1Cu58WrWPAgLCUZYcBDCQ4OQLiQYoYEBatAOiwUxiUk4cuE6Bs39jn6/V6NaKCv8saWSL3tm/PTlcMxZvxPD532P/cfPYtWkz/BKruyGPLCkBz6nSk5/g6qlVrJci+uVRycGzlWQTSqxQFmdTtieIx3If7JEJ6TQQYaKSXJ0Uy6UQ1qyIZDdc4W33sLMGTNw585d5MieXXrEssCqC/c+Q2+qEgobOTds3oYuvfsgW9as+HXHNrz5Rjn1N7R3K0Zdtt2rZw80a94Cr732GkqWLMWOpdfBLkaeVGj1MjFRbItW6ZWVDLwpUU0/Vap44aHvnQSjisEfP22lwTNkazARP6grrUX6vqhEvvOSz720L5NzsSZDxhvy3HT7QGrNN322XGgybhGO/vA9fl/+JW6fOYJ6Q6YjfbY8vtZweewwUMfVlH+yVfsfgmzyHFxuuJxOlK5cE/fjkpE14n8z5dfsvVcQI4FsWmQBmL9/OidQF2kSM0CALn2+oO/aK3Izsy/pc4o+t5i92KcP7iEomAvEUrCb33/aii+G9kHGzFkxe80PKP36G1JsENWSrSvKTAQmsUL7ArszbVV0E+/zCVX+CntGzzjI7HvPuV+U3HnyYfHarfhu8XzMnDgGR/48gOmLliN33nym16INTXy+NhMK/63yMMHxP90XVnYfxkG2saEyYJ0MD4Jg5UFUhSqHFeM3XFTJb0FmBON1iwVrHffRAtkYPYiNksS2CYvHC6vHi3whgaifIQtmnr+EwcUKqeDAAuy4fAuDf/4T6UODUSpnFgz74G3YiTDudMJqtcFCgonZGDsuwGZjaUX5fOQ37opyB+YlOTkZIQawmtaSln6gAw8dZGtBMQ3H6nOD16ctk5I7b15s3PojFs6fi3GjR+LAgf34dvn3yPdKfp8fJXMNPRMTAfRpn28TX+2GDRuiapXKCAsN1dGlNlAYO5eYYKV52e8dAF5HEqWQ24L/82mO0lJO3SOUcf8vkN4m+yPdKn+mtHXzeYA/VA+Nu8T2E692ciyVAcjcoR2nWn/1ov7Ojm2bMKRPT2TOmhWrtu3E6+XKP1OpYwTqRjnjmZbsVM4vXrnxECIfE8WM1rYMTcIgtRvvWF0xMeyLcwiVn25Z9iJX3nyYu3IzVi1ZgDlTxuL43wcxZvZiZMudlx3nNXzH68U7dRrQuVqcQ3umJs1Aw3tcLmCjmvoEjIwyLT2nIbjp9egkXHmSgFcyhP3fpo7/xSnjqRWvWVU0LZI2TtIMitxoosY9fYzfNq+kL00XemUNhh5xltCpZ08YiaE92qNStRpY89NvKFuOCVMKVZyDa0oVt1oQ+/QhOrRpiegnj7Bp/VrUq/M+p3ynwOJMYUtaOTVcW0+hdHB9PYVoBbRKBj9KAU9JkirfT5YpSbh9+w4WrvsBzYdMReuR03H8/GU0rlQWG0b3wJrhXTGy1Yeo/1ZpvF3sFZTJnwOFcmRC9shwhAXYKMhX6OJuF9IFBeDdUgWxfEhnjGhdD99s/QW9v/gGMbFxuv+20JpaLOjdpDb2zR+PuMREvNX+M/yw728//r6pvGwxafD6bNq49iX9OB9Qzj4TE7uTPEcRtfN/qCSkOJFAKONGbaJsuTFaeKQRbuDAgfj888/1E2qq0X/Gv3Q6nRg0fBRatu+E2jWq4+Ce3RLIllSYMFrNWfuw22yYN3cusFnNMAABAABJREFUBg8ciKdPn6h9VKa+Kn7Z5nRtZVA0BD0UQKdhu840eIasEBP0cq1q2zLI9c0I4EsdN6+Kf7XNhnIftUGrz7+DMykBy/s1x5VDe/wDaS2wo5FerF+Lkf70PCBbpk95XC5MHtCd0usLFi3xP0ubJZTxA1eltqKM66kXxR/TbKzhJ9LeqWlbZMtfNnwPe4Bd2yaKuoVTRmN8n06oULUGFm7+GaXKMuWrLZV2pFDU5PYlC1nae5Ki10rWjWeVtBz2vMOANhy/wG+RQpS3bTp1x3dbdyEhIR7NalXBb7sY/fkfDEn/Sjn/P9oXCGX8yIafFMWqaNaJcGM/nuI3PMYPeEAt1ElgbkeiqI9ZJRRnRRBKWsKx3nEfiZQ27qXUcbJM8XgooHE6PXg9KAIRsOGHm3cphdztcCM5yYHJfxxH7+37UTVfDuzs3AAls2fCL6eu0Bg4Hid3SyMGAZ5K9M7Dx8iZNTNnpJFUXqQSkE0CoQmWmqQcl69Wscr+M6D9rKJbsvUqrGty3CCtSpRy37gRfCyyWtClew9s3/0r4uPi8W6VStjx43YTNxYx16uUZfEICCuERFv/ctZXRp2L1Kkk7XUa5CxjdcdH/09SyO/EJON+XEoqPvKymGnwo5aYML70cOl70jOXFSupBQFzOJ2YNGoYPunUDlWq18Sm3XvxWrnyL3aTlrSBbPEK/b9Ff8oBcYJ/PgD7m2KNF2q8LhKUtHnHrli44SckJsSjS/3qOPjLTr/08cCAQCyeNAIP79yQzie7IEqykjKnm7sNirlYyTIiYUAtQKrFgr9uRlNXzv+zQJtQxlcevpnqMRotwaxDKUFOdLhtBNviQX83bTSKli0v0ch1n0k9pQsJWBaNvm0bY/XSBfhs9CR8/vViFlGT+2DTFyEFSROBzv4+sB8d27WlAaH69OxOU2ZYPAJMp2gAWgbY1PearCtLBwXlxP8aDlIJkFZBtocsHUm4dOUapi9bh48+HYdhXy9H+tAgzOvbFmtHdEff+u+hVJ6s1Oeb+mdr/t26n7YeDM0YEI1V5r/tQr4s6TH7k9ZoWuUNNBv1JXb9eVyyzLORiYDXUgXy4MCiyahUuigafjYRkxavYaCWS71ssPPTPf2BZJ/xQP9cs1xLE4xuC5WPlb9L3NtT8L9GGX9MfI6kdFc+E4I8WRgDSAAoW64cHj16hOs3iC+LMtw+R5FnGi+ePn2KDxo1w5wF32DaxLFYtmgewsOIds/4HgW4NgfbmTNlxMSJE9GpY0fEx8dJb9nXN1oARWO0ftkyaKTUy6Cb+O11HTQaZ48yP2lFicYHXp3BwoG4rM00BkMzAbq+AFD6Lq/ZXimCdjNXI3eJ17F+bC8cWDOf3Z8ZyJauTSgX9CBaqtJBBnPPBNnyhGsBFn8xAZVq1kGufK/QbUKVv/gfDPqR1ijj8/dfNVG6IE3tWe4n/opv22PnNYLtO9cuo2T5t+k2mRdGdGqGzSsWocew8Rg5cwGNRi4recS7FG1TVQbpE7saFdcwZ2nXYzG/LqMw9ZwlzcA9jT+QlusqXLwkVm3/Fa+/WRG92jXHgi+nMQuF4cAXvaeXUQgV9dzDOPyvUcZX9hqptQZRyBh7HYnYg0coiDDUQmZ8gMyIQgB+wSNcgQhqZWa51M9D1Aq5EIpcCMF25yMke7y0ppBKwLbbQ5UPTocbrdNnxS8PH+HK0zg8jU9Gt9/+xndnr2JI+RKYXv1NEMjbu1IpzP75L7hTnBRoE8WeiPNC5oJb9x8hR+aMnCJuU6vRT5tfq2ChGO/nRX20zYqvIUfMrWpgXt8sGLzKaSC1gI16LCE5EnPxEiWxc89evFXxbbRs1hhfTJ0iBe4S875BuW6wT9SuXRv79++nz0C/BwPIlvebdeZUEZoHrvin+F+jjJ+6T1J5+R/bZXnIH9j2C6Kl5+0DxA1uK3KJiX6KTs0aYMU38zB03GTMmL8YYWHP455oiFmj7zWA7ucA0dJ3zI5TfuMFi662SFsxMvLIbxcqXgLfbN6N0uXfwtCurfH93Bnccm0A6BYL3mvYAtu+ne+TSs0oI2nn96f0NgBsOU20HKNLgG3iSnjoltFl5/8Qdfz7w7ckv2ypSO9ebgayBU/X8HHqn0FJp1qsQXNmlyj/NgoUK2WgjOuWJLL+4O4tDGjfDE8ePsDC1ZvxxltvK/7dsu+2Ljh5MXvGdFy6eAFrVq1EVHgYrF6ixXXBwrW5iq+1nIrBxC9bo4V7ODVcgF6+fubydWzc8ycOnjqPfNkyoe5bZdC9diWamkNE86TB0YTF2RgATLLyKg/WAFjFxxYvoXuRY6yoVKIANozpjU+++g7X7z1Cp4/e49OImBStiAoPxdpJAzBx6QaMmv89bt5/hFmDusNO6dpp4C8qc4IZ+DZarsX1GqVRX2u22PYQP1y3CzaSy/N/oDyKI5RxMcAwCpNVoogT6iv9SJY5SBE0KUqxAQYNHoyJEydh/nwyIIm0F+JLaePLsV/y4sat2/ioaSvcf/AQP21ai7ffqsA/NIl6IShpnKsk76Ltw2tF2dfKYODAz9C6VSss+uYbZMpELBuMKkTFAW6tJj7aNK2ZoAkJjSWl1fKlcZv3Xy9ho3gBu92OjUvnoV2GTMiWJz+jixP6Nx8PaJsQrimK5ZHRxuixiv+VTsk0FhkgiacnjgyNiESTEV/h95Vz8duyWYh7eA8f9B4Bq524aphFF5es97LVWighDBHHn23J1iel6xfPo0W3PohMn15RUjxOdOBhfAoyhwfhf6HM+/0K4lJcBrcT35Ia2BRKKH0QM3zHwBzQrdu6suPK6RPoO3kOtco+unsbY7u1wtNHDzHt2w0o82YFLRYHy2UuFDZSTk6NeaHS08T1kYZH2yAde6ULl66XfcTowf5kItp7BGvUz7Pw+c4zhmH5PKm9hdR0H8brioyMwqzF32HejKn4asp43L19C8MmTqN9NTUa+b9aDD/yID7lf4pCvqrnSCQ+JoDH6HNtoRTwVxCKLGD9lvTnfAhFHoRgH54gBR4UA8kA4b+ICP4kONqfXgeOOeNQBhEsAwqsVLaxOj3Ur5vUXllzY/rlK3jsduCJ04l5lcrhzTxZ4HW64Xa4EBZKUgdmxe/nrqNKqQLwukQMGQ8cThcSkx0IpXRnbsXWqhyPxeIncrb6BEjU8QIFCvzjZ+xNzaLNZUxfkC3BDCE6URcjRT2gtWPNZ57POekio7BkxUpM/3wyJo4fi1u3bmLqFzMREGBXbpOJZfoOTdqxWNC8eXOsXLUKHT7+WPkln8lZo4zLHf/ZAIswKD0pibAGheJ/oZy+F0uVYamKMpp8wkGqkUZOP2b3b6SRCzAuDqcuSXxOFcH7NPmLP8K7N2+iW+smePTwPpas24o3KlTUzmXyJvxfsmHDDGT705OkVrTrMDQDmFDGX2jMTQtBVT656B/CHc9L+kIkJs5bhqWzpmHxjEm4f+cWeo6cTHO6a0YOrxeFSr5GA1FrFHLpMzG/MmMek4nE/C/kROW5yW5dJr7ZmvKcb9+OTcbhc1fwOnWd/T9k0b70MB5Hb8eYUzFlAUWzOhiEIcP5tO9otErygNn5EqKf4u+ft6NGo1bKw5TpAWT9yrnT6NrwfRo99tvNP3GQrVsq5EjkgiqekpSAHp07IiIsFAvmfIWosGBOE0+WqOJkPVnan0yt1HAkscqt08xanahbrJO59To5EUdOnMHw2UvxQZ+x+GbzTlQu8Qo2ju6JL7s3Q/VSBRBI6GJSpHFPClk6WDVGE6cWbrF0KPuZhZunCuMWbgb0ndp6SIAN8z9ti0u37mHiso06oNcs2wSsWDG8Q1MsGNYTS7buRuPPJtCAaz5Fnzl0sGycqvjk6zcFiEKXMqlG0M4Hwt9/309p0f8LUcbjiAVAm9gNNCVFI2tkcsjaW6BYseL087Nnz0pTvRi95UikskBjLF6cOHUGlWt+SKOK79m+BZUIyJZ/TDlcsmprnwvLtsrJqlihAiZNnIh2bdrg5s0bfCLTgaIMfIzaSKMlW6ZPK2CVB7fqPnQsNn87T7GM65Ztlb7rSzuSB11/tHZDVehLuoWc0KTebdMLH306Acd+Wo/VY3rBnZJkCrLlQIzGwCy65dN3TBSgmb1WVdtLPlu78Csc2P0jBdkacJfA+LWniZrw+N8sZ+7F4sC1J6qVV6py0EmtbRiYCEaWkho0TXovPtZmfXnq4G/4Y/sGGlDtxvnTGNjyQzovzFr9gway5flDvh79vfI4HiZtTm1/+twl4wwhCLB1X0YFngcMm+1PBSCnQQ5/9g+bfEyUFiSY6Ljps7Fx5XL06dAKiYkJL4PF+HxFMON8LJgsCvn/Ql+49PvfOLLuRx+QJUoOBOM2khXwDT4uVkYGRMOJoyAWQLmYs8nI7b6F9DjqicMDtwMOYdX2eOGgFHIPnC4Poh0OnEmIQ7TDiQVly6BMZDp4nB64nW5qwSaU8aalCmLN32eoMluLLm61Yt/Ji6j8eikthzZsdnitpOoUcga4ZeCtBtaUn0J0dLRPeq/nLbrBxlilfMA+GW9EECZmw9Ajj8s5fI3RyKVUgnyfxWpF/0FDMXP2XHy3fBnatGyGuPh4NSuCoW3K1u2mTZti3boN1ILuU8xYfrKM5fNMzTugK4FkAvrv94UniQ7cfY40fGmxbPOPDKxZadtM/pK+e/70SbSsWwPJSYn4fstOlHuzovhxvlStgqbcEp+Aa9L8bqYUNntjfsReM6CeKthPwxhsFl081WJyYjn4mJg3A2xWdOg7EIMmf4nt677HmJ7t4EhK9GE2EmPp0knDcOfqRT8yk4E9ZrBW6y6/kvXauN8Assk5f9+2DpM+nwY36dj/l4D2ppN3UxVafUC23CgNGEFvjGpuNPHAv58xDnkKFNb2iSBmMsgmkWN7t6iHzFmzY9nmnXi1YCEuJDGLhUjdpYFtiwU3r11Fu5bN0LFDe/To0hE2rwtWVwqsbgPAJsBagGzN95qDbF5V3+tEeJITcOzUWQydtRi1e4+mKVM+qlAKW8f1xucdG+Dtgrnpb9HjRTovnsrLI9J80bRfDl4F2HbpgJrSyfX9jCpuSP1Fc2rrKcCEZZ00jEmdGyEkMACD5n7v6xjJl+0+fA+bp4/A3iOn8VGf0YhP1KlO+gs0GfjlkUU9WPtcDXjGDlTBubk1m2w/fRpN0045HP99oE2siT4UJWlC9aEykS8Z/YqkiWTw4CGYPHmyOsrK1DHlWfuWw0ePo8ZHjZA9W1bs3bENhQoWUOlaygwkg2zx7rWL0qcnqV2UKF4M8+bNQ7euXXH3zm0FbIvXJKx/6pig+mhrg7Xop9ogyfbnyJUHvUdNwa3L55VBVHYbkWnnAigrQF+2NPubz5SxSgbP8vctKFe7EdpMmI9rJ/7G8mFd4ExO9EkpYfQjUkC2SQoyqmyQNbSG8ZB8dvfmdcTHRKNVj35cAalayclxTreH+r79t8uKQzeV9+L7/lU3ARVkyynSjMcYlRoSzV92I7Ky39y1+lu06D0IV0+fwLAOjZExS1Z8teZH5CtQQAHZWnRyZaKXFbO6e4IOxg33oLVp+Z2w5yGvG1ue0ntN2mdaihHgpjIsmLb7Z/+A+XU1aN4aXy9fQyOS92jdhPrp/efAthpxVwYypCQ5PbgZbTJP/YfLpsFTpC2vzzIENmq1dsLtA6BJ66iA9HDAg/NgriHsU/0tKM+Ar1e1ZMAO1yPqp03BNslYQvy0XV6cS0zAwJuXkDMgCLkCg5HVFgi3BrKZRZuA7eyhwXgQF0+znXBKBgXNO/8+gdpVKsBCgDZhMVjtEnXcius3b6N3v0/Rrn0HHDtxyjzll1QI0I6Kinrmc/SmUunnEhAyptkygmsREVlENhYRj8W6oJHLoFumkItzapGbvUDz1m3w3Zr1+GP/72jRpCHi4uLUNIQmYJuUgMBAVKtWDT/u2K4CGnm80AYSWQ6SZYFndGiPG57k/75r0bkHcX5URL5Ff79ppJEbgbQBUIr2wJRz7DdOHT+K9o0/ROas2Wj8iXwFCj6znckA1Qc8SyDbKKaZDYuaaJeaXIK0gW2j2dLfMKzoDfwoD8yK8R5JUYwfVn0u/KBJS0xa+D1O/H0AI7q2QjJJ1aq5/7LvNOn2KZZOHo74aKKQV+ddXV6SYmgZALQxdbNw/RVztZzu2ZGYgOO//4Kyb7+LVn2H0+Bo/2eA9sk7MbjyJNFv4xBCrwqyDQFkJAu4MpmLh86t2klxMchXuDilHZj5ZQuQ3a9NY9pZFqzehGzZsvn4bYtjiSWbCFd79/yCzz7tg/nz5qJqpbdg87hg1YKeSQBbrBNA7WPJZtZrUsX6+YuXMXHB96jTezS+++EXfPRmSfww4ROM/7geXs+XnQdEI5QeVvV12ZKdQsG2x+GAx0mqEx4BoDng9khVBuB6Xm2Dn7ZEXyeUdrb0oG+jGogMDcGCzbv9gG2gZoXX8MOs0Th2/jLq9RllANtGSS8VVV2qmljFtCjtM5yHfzbgs88wavQYNgH9FzW2cclOJDrc+kSsBEAxBN8wy+foE0AFyJc/P9KnT4/Dh488w6rtK1mTtF11GjVH4YIFsGPTGmTLmlniFnhNq/yuWdFnN5+UYjzVSL68eTBn9lfo1Kkjrl27agCI+muULdcyAPfxuzFoPmVr5ZLpE3Dn6iU+gOpUXwZwjNZyY6A1X0Cu+lIbxypJW6tRi/XAG0XerIyOUxbjzqUzWDq0C5xUa6umjRKKPdU/XfXLNvoi6c9NDX6254eNNIVVl0EjYbMSMqg6pupMAgvuxCRR4fC/VQ7deIqLD+JNgavsusOep8pgUBUtEsCWLc7Cks0nVV/rsoVq0S8dP4SBMxbh3rXLGNWlOXLnL4DPl62nQpXdD8jWfx+m68b2KjMl9Pfoa+GAjyCWCog2DpcmH5l+zSifm4+uL4bkza6Lf/ftqtUw//v1OHfqJHq0aZpmsP0igNzsK/K4qQmOfPvy4wS4jC5X/8FycutuXNl/SLpS5U1oS0INP4Y405dCxso3EIXLSKBB03wFbHFuNm8QkBjutSMbgnDKnUCBNqmErnvBkYixT64hpz0Qk3IUwLtRGfDrg4fUms2qm2YzoEu3h2WC8HCAwlN2nbpyCyWKFGTWbAqymTX7SXQcevbugxEjR6Fjx44YPXYsdS1q3e5jnLtw0VdJzNfv3buHrFmzpvocnzWaqeoLA4tMoYwbQDe3WBv9tHWLtu6nbQTceoA0Pd5Q1feqY9X6TTh54gRaNmmE2Ph4v6mVxDopHTp0wOLFS1WNlplcxJ8dYwWayVDy81WLO5EA//9eXyCuHE+SnCbI1aRIx6QFbPu3asv7VJmLgOyuLeoj/6uFsGjNZpqRSDuTz7WpO9Qx1uibbcAyqQFo5VX5P/JZYFveTm1Y91XzpQ1kKz8iXTczakg0bas+d1eo8h6mLF6Ny2dOYlS31jRwqywLZMycBT3HzURQUBCunz3pq+QWhlH5vD5+2HraT83gqoBx4Ozff+Dzvh0QFBKM9Jky0+MuPfp35oWXDrTJILX1zH1FEPKpBkuSmaXHV8iWhWC235GUgDN/7Ufdtp19nN1FvXj6uAayv16xjmpI5ZdFgp7JAJu8gLmzv8SGNauwZuV3yJM9K6eIq+BaAGkKoJMT4E1OhCcpgVYvr+6keNy8cQPbft6HgdMXok7vkZi9cgveLJQHW8b2wqT29VAuPwfXyYxOTkC1O5mBa3dyCtwpKWyZnAIXXTpYTXGySrTMtPJ1EqCELt2GKvbxACYusmTpwnSQbQTbLK3Y4Ba1sffYOew7dlbzQdcNnWwyeatUEWybNYaC7Y96j0SCmWXbrKRGGzegM20SkaqixeUgc9269cibNy/efPNNOlgQ37H/RiHPhUwiCqD2QxN/5mcG4D1w4CBMmSIsIrLk7mcotVhw5NhxfMBB9ta13yEyXbrnvSNfC7ccHE3K+UmWr77yChYuWIie3bvj/Plz3FotBzxTg1UZad4y6DQDx6T/Btjt6Df2C3w/5wvmLmKkBvmMLb7gzkgzV69BUu4ptGQJ6Inf4Z/lL/U6Ok1djDsXz+CbwZ3gTE5Sxi0zS7Z8v8IqbQwkp10D3//7ji04sn8PsuTIqVuwJZDNW4Ymd5HAaPeeg573sueFNUdv87zWPBc2WfepbJJkY7JYkufLJk7fCdUPbcwAzCkwcLswf0Qf+mxvXjyL0RxkT168ClGRUdJvst/Vf0NiPEmacRnQa2woI41ceW8GdoTJe1LBqhqh3Kd3m1ovzEtqQ4Pp8f+gar8H4LU33sS879bpYFuikcvHysoGet/KPn3b9DrNNAl+ihhHSeClq08S8d8oHo8H24dPM2AeVawVwDAvgvEUTsTAnJnFwHYkDkGkBjOGktLfCleDopQ3Aoc9sUj2eOD0eHHFlYRpcTeR3RaEoRnyIdhrQfXw9PjpwQNqzXYTgO3yUAu25kZG3glhhxBrtc2Oc7cfokj+3LDYA+k2rZwyPn7yFNRv0BBLvv0WJUuVRu48efHlrFkYO24cRo4aja9mf02Bqpb2iz8Xh8NBhW1/5Zl4zAwtiEBZovoEQlOBt4g67hLVy5YqlVwAcRPALYJywYty5Stg5dqNOHnyBFo1aYT4hARzsK3N9xZERkUhf/78OHL0GJd3JOu/HFROa0ySLOVPY2Xc7/XAk/TfsWqT+yfZAP7ROVID2/6s2gZrtliePX4U3Vs2oCD76+/WITwi0lcG478jijrmGTJK8D8++bhNbERmyspnBWlNO9g2Drr/4IEbz+1nXhNLqwy2uQK7TLk3MWXxKga2u7fWDBICNGfLmYsut377NfZsWmmInSUHuvXFfGqVZQi2vHnhNI7t+xkZMmfB8DnLUObNSposR/r3tX9hXnjpQPvQzWgKLmRLsbH6AmxzsK37T/sCbzK5/rBsHoKDQzTBilojpBd69+Y1DGjfHHleeVUD2T4WCcmf2+NyoP8nvWhQkAVzv0ZYUAClbzOQzZd0XfK9pkCbUcHv3bmN9dt3Y+iMhWj46VjU7zcOExetws07d9GyajlsHdsLM7o2QpWieShg16jkAmSTpQSyPRxgM3CdAncSAdgOuFIccDucFFxTgC3AtcOlg20OqH2qAN4UZMtg2wx0s32kkczt1wYTl2/CnYdPfPVdfCR7q1RRbPtqHI6cvYhWAyfCRQKlpFZ8JgIJMD/Tqm0ctRjIfvzkCRYvXYpBg4foQhV5Fv8FqzaJrpxMBBQfEJ12CrlPago+iWTNnh2FCxfBr7/+ahixpWcplctXr6Fe05Yo+OorOsj2dVwzoYwb1Z1+wLafaOS5c+XE0qVL8Wm/frh25YpuOZbAttFqLVNsBTCXgaoxQFXWbNkwdPpcXDh+WPfpkSzI+nnFgG+gIBuAsi9NW7ZiqxRhI8gT9/FKqdfR5fMluHXhNJaN7kP7kz+6uBnI1pQMfCLVPhcBt/hz7j9hOlU2KHRxTc5SY1uT/fdikymN/D9d9l95TH3wGMAWINtC42CIqoFs7Rji/+7PDyt14G0WbfTy8b9R+cNGyJQ1G8Z1b0Ujs8sgW78Gg3+2IXaH9rlMH1f8t2Vljm57sKQBbJuBVaN49Syw/TzFTD8nBLgXrf7A9pkTxzGwWwe4XCQQnvpbzwLbz76HZ8fX1ayafHy98jiBAu7/dNm3YAUenLkgXa94dvqYq894FryJKPxB4ba4A1bEFgmWRtbJEb5FPyebX8g5rSiCMBx2xeK+24l5iXeQ2RKIvuG5EOS1wO3yINBtQc7AYFyMjmMWbQG2PV4ac4T4XBKgRwMa2ezYdvA46r5bUQPZzDfbjstXruH+gwd4r1o17fdFzZM3L75fuRKBQUFo1rwFrl69pr1skl2DKCT8lWfO5n6mL1mJbeaXbaSQu0iVgTYF3tCXJoBb99f2Be6vv1kB36/diOPHj6FL+4/hJEYPH4W6TCG3oEfPnpj11WxJzjH4tT8LbCvjiFhVe4s7Ke6/ku6LBKEigTFftOjg2T/YNrVqS89biC3EVbR3u6bIk78AZq9Yi/CIdM9se1rWCLFtGMu1zwyvQwbD5gBaGklTOeh5wLYxreQ/KooywPAbBiWp1cBEFPNx6XJv0vmXGEMnD+hG8YZscY4Ij8CnU+fC7XTAkZKEuMcPVfnOJIq4XZrD6XzOgT2RvyweN76dPBy/bvge+QsWQb4ChRESGqq4gpHzE/r4y04DafG+RF4tCZM+6eeLeJrkUBq5z48ahQ3xQvxYKAKIQMYtIWSdHEOCd333+Sh0HTEFAXar9GDZekL0E3RrUof+Fgl8ljlTJt2SbQKySV7sT7p3Q/v2H+OjD2rDSiKKa7mvReou4vNMfLAdNDUXoWJfu3kLK7fvwf7jZ5EhXTiqli6MsgXyoHCurPR6qMWXRwqnwJVHHaeDmodMXMRHmi2pxphrjemSf5dStLR8ELIqjVNR+EMUNHt9Xe1SSjAlHoqdLC3akjwcNnFabExTTdbpPqsNZ27cw4TvtuH7MZ9QbTU9htPGqGab15/+OIz6fUehQ8MP8PXo/uw47qelB0ER2+wceqAUOUgKn1BoHk5jahARwVTfR7a7detO6Vbl3iiv0LEIGAkJCsR/qpBJ9dz9WDoZPytKsYhXoFCcDXkD5UBKot/ERkejbds22LJ5M23HOvD18Kj3pAKPHj9C1Zp16HXt2bEVmTJkkEBxKoWP1iJqpzJbGNclsO/jW2+x4ubt2+jUqTNmfjkLBQsV0qh1PlYFjZInp1gRwWlEEBoh8HBrAxd0ls+didCIdKjVtB39nFhrCA1ICEiEIim2hZXCmC9VnoS1x2BUAhgAss9nvK+RfWcP/oYFgzqjYt1maDVoPAOIaQTZPmCcv/e/9+zC2WN/o2P/YZLSQs05Kbq+Ql/m+7OGByF3+v9cpFkC7IdsO43HCQ66LT9f7Tn7sWBq926ghWtabDovsDlCB+98nrBZ6RhMAtOtmjkeHQeNpXnPh7SpR89NAp9lzJRJ0YDLFnE1QqkfpZAiXLEdchuS27ZQpHlSCYIkF6P1RIZMZgxGE+OdUowCltyl1WNU4fF5itk1ivva98sumvqrYcu2GDF5uhapWf6er4VP9ac17pOL/myNgaXUlD/iXKTkSx+K4tmel9nz4sWZnIIKWXKjfFIQgjx2St2WLW1mz5zsv4UknEQs3kUm6rttLNeQSOnjxRDucxZ2XvXspD1v895HPKGcW4B+obmRJSAAIXYrQgOsCA604bAnAU8sbjR9JTcCwwNZTReCg09icCUhCb0/eAcB6dMjMCoK9cbMxeavJyMgfSZ4g8LhDQyFJyAUTVq3w6RJk5H3lVeZoxF/d7JyhPSj8+fOYcaM6TTdZJMmTbB8+XJMmjQJJUqU8NXzPuMZmx+nBykjc44GjJXgZnzuMcxBiohsykiSWEjKuK1nfpCVSGT5y65daNeiCVq1bYfPZ3ypuy9p59DnfbLev39/NKj3Ed6p9LbEJJOC1CpKbv2JEQU4W/Vj2peekjU4HPbwZ/vEv6xCnv3eK4+QyHMYm1mL01yk+ULDoorsZHDNMrS/2KdP0LlRbbq9eNMOZMhA8ILvuzPKY7oCXJ1rtTlCPk7We0gKRcNtqNvPGIQVv2rN19zENmI03EjuDUIGo/ukfiKOT/X3TX5PdtcRyjUvP5foV7ILxh97dmNol9ao3bgVeo2eQscJPSAhi4/w+OEDzB09AK8UL4MP2nRFYEiIjxFKea9kxe1B9OP72LhwFh7euYkuI6bQWCyBgUGq3GVwVyTreaJCUSjz86RwS7281NxHB64/RWyKk14wFTieE2inFkHOKORcP38GXUZOMVgdmLDkdiRjcJfWiI+NoYHPCMjWHOcVygFbXrt8AQP69cWUSRNRungxnu/aKQFtQhVnQc5Y1O9k7Pv7GOav304VAG1rVES/j6pQa4cA0+Q4opEVIJsCZQGsxX6+ZJZkvi5ANgXX/Hucnu0zWEqAWgbR4qEyrKOvEwBEhRuKfbwUYNMcUxRgi8GbfOhmx3DwynTtFhTLkx2FcmXFD78fxgfvvEGvzUK+Zyi1Kr2Br0f0RdfR05E3ZzYM7tbW+PbVEcVsMJFHSzN1nok1+5dffqF5b40gmyyJVTswwE6Bzn+iPIhLodZsEU+A3ZMXVi+dHukA7JG3ScovkraAU9rINhNMyBel9AUiHYiX0cpqVK+B9evXo0njxoqFhCdIQFJSIhq3aIOYmFjs2fkDMmXMmDZphf8WuWYNw7NTqyObNlnr98jSean5znPnyIElixejQ8eOmPbFdBQpWpTdp3Yd7MQinRf7Pk+/wdfJsyKpPMinpN+Sh0XXSRezAK269cHUwX1Q5YOGCAqLgI30G9qGybMmijV2RtqlRLowrerH0nYjK/+lSVtbytpbGcwaBu+SFaui5cAJWDFpMDJnz4kP2/f6RyD73LFD2LVpNYZ+MVelixsFDWl8VWjoPDhfloggBNl9BfZ/o+y59AjRSS6p76k2AfpX1o4bwLZP1HaJ2q1ZoAmo5hZxbUmoYMmJmDOoO+p36En71KRP2iMhLoYGPstEQDY51hihVGi3+fwgKG3GWAGyUCdbGLgILEFNtpe0Ozo3CmGGrpIT8c4l2py0Kfc5bVuCqHL3MU3v8hzvyRRkPw/aNrlGeh+8T73zXg2MnDIDowZ8ghy5cqNTr0+f4+S8jcgnFENiGm/SSNYhSxKNP3+GUIQG/mfSQJ5dsgp13GH4znMPdayZEWSxaVRk1mZ8YTJ5krkRjDDYsBsP8TYyIAOY0lgcnxGBuIkY7Tt+1CoS7PbiEQ2lBnQPzIVgch1eXfglwm2hoFAsfXKX6mvZKRhdfO/1u2j3zmuwBgbAGhCIa49ikDt7FtiDggGr7p+9ZuNmlCv3BvLlf4Xen6zwkGcIUgoVKYx58xcgJjoaa9euwejRo1WQ7aNs8i0G3KjtFft1urh57mwj8Baf3755A2dPHKUxBirXrA2bxYZ0UZFSqkg5Jgh7tuR6yWcs6xS1QSsWxfeq18DUGbPQ/5OeyJU7D/r2H8DkPD4QiuYtUlSOGD4crVq1QoVNG6jRgB1jhcXCX448YNAlf890XBBzdeodhQRF84aEM+PKf6DciE5EkoskOtXnelXGSLvSMLUiPxr6O3IqMMJ4TE7CgE6tKF74ZuNPSJ+ByEhpL7qyVWLzKFZmeXJTQbbpfTwPS0mZG/iTNEwpL2pJlUeMVI8xHMiaGmt74G3fy69PXCUlZRAjlBV4+90aGDBuGqYO7YesOXOjeddPtNgI5Bi3FdRPfujsb/H3np2If/oQy4aNRdHXK6BCTZYt5P6t60iMjUWFGh9gzeypuH7hDIq9/hZqNG6Jem27IGf+AqriS1OcGNz1+PbdmCTkiQpBcMDLkZFeWo9Kcbnx66WHzwTZ5kCbNTh/VEAlqqzFgotH/8TfP/+A4q+9rnD3Bdj+YvRgXDh9Et+s24b8r7xiCrKZUAUc+etPTJ44HosXLkDObFkowLYSkM0ji1MLNg1wxqjed+7exafTFuCVbBkxqWMD5IgKp2mySF5rj/Bt5iCZAWmxTgZfAaYF6JaAtQy05e9wKxstZkCbW6NTs2xTwEyj7XLgzAOE0Vx3Gu2XwUGrhVjYxbnoCusaFHxb8FmzWmg4ajZqvFmaUr5I/mSz0qFhbdy49xAjvlyE0sUKoXbVtyVpVAbNSqvQLNMyqPYbaVwqiUmJ+PzzaVizdi17VPC1bCSlOBEe8u/nEiaTNYlqS36fWprp62HCd1rBttDUEWGcbgu/OClNJjl15y5d0LhRQ9Sr9xGCSB5zw8ja97PBOHbiJHZt24RX8+dTrGNqDtNnSy+6VYQLBKkBbm3YF6oDC3Jky4qlSxbj4/Yd8NXsObRvegyQnLUm/hvakgFymg9bDNhkh4cDY04lJ781cPIsnDp6CPmLlaKATIB5ki+WXDMD3PrzZXk22TlFPnPRdkRRwKykBfdRFpqAZ3LsO/WaI/r+HWyaN40Gbixd6b0XAtmXT5/Aq4WLYcgXX1PfRZ9o5AbLtc84q92QhVLI82YIw79dkp1ubD93n47BelGpbhrtVxEw1GBwMvDV5gduzRasJwVk2yx4fPs6VUYRTTYBdl+P6o8rZ09hxnebkDf/KxoDSmSZ0OcQX6CtB2tTrdmy0CSKaLkepTPqYJv5FJN+bwK2xaYsbOtfV54h++tNFWw/UzgynM1kZ5qEPn/XaATbjVq2xd1bNzFr8jgULlYSld6rkYazm10/Z4ulQZhUgh8Z5gXyPs49iEfZXP++Jc+VkIizsxYgV0AgmiIr1iQ/QB1rJgRabRTYmuMgXTon4LoaMmMvHlPQnR+hyI5gxMKJa0hCAkkBqgjvYtyWz8W29ngfIxkelLGkQzrYGcOHGCk4yCY1ncWOpySAKr8w2m5J3JvH0SiSMxOsAQGwBARg0y9/o0H1d2haLy+hjdvsiI5PwNJlK7B+wwYN4MosBdrn+dQhgAIZz0h/JXOa/E6NS79FOkA5VvF/NqeKa5Y2ybr94P597Nv9E0qWe5OmwQwJiyAzOlYtXYBjfx1AxarV0apzD85+0V2ZNIUtnZHYfbJxgt236PfNW7elKTAnjRuDEiVLoXrNmrpCgX9fvE2StrF1m9b4fNp0DB0ySL+1lwy23YkxsEc8H9B8kUKYZSQgIWQwKowKhmON7/95QLZ4FkJ+ou3AMK59MYrhhbmrtyBX3vxs3H2uH+HnMxkvlXlO6YH6nKccm4Z79FFTS3pHM7D9jwo/T2pFk/pUXR77ujCOeIUsS2QRhj0Ij0FgkHot2tD82ktmTESBYiXwRuX3NJBNzkftgRYrKrxXi7aQflPn4PShg0hJjEdyQjwe3b6BsPAIKuc17tSbMhuFXJEhQ8ZUjREyK0V8TgpRwhbJEvFPn+DLpY6T3KibT9/1N2XzX9MXulCoC7Gp5UWTefhfDeiETybMojkWBW1Q0AW3r/0ekwb3wdgZX6Nhs5aGEPACZLPljh+2YPX332Hh/LmIigiH1UOs2IwqztJ1sQjjJAc2yXW9cusurPjxV0zu3BjFcmaSonnrQcRoVG/NGi2BZY+ggguQzWmqPkCbW7ClY/wNjgoFXIBsKtDq1mwNiMvHSPvpktLFrbRaybqd0cJ9KeRsuWTnfkoVb1+3mk4t58FPNBq5zUYFzQa9R+DgsdP4a+MS5MuTi1HFDVRwEjCFUdBtaaCNC5o4z8rMjx81ejQNflardh2JGuNLQ0wfHkJzvf6b5XZMEg20Iyt0yLoOnFSKkQ+NXKKMGS1oCrWMDxLffbcCCfHxNJ0Wo4QzFsXSb79F9159sPDr2WjToqn/IGZKSZOYrs0qulJEmmmEUoSusvek0fytVty8dQedOnfG7DlfM7BtsCz4UMaJ4CdtG60PRir4huWLqaWlWsMWnELugYvSxuXqMaeOS/RS7Y4N45QeeZy/HznWhBktnD4oL2YP6IhLJ49g7IofkDVnnucC2Ud+/xU71q6gIJvEpfChi5tRyE1AtqwoKJYtHfO1/BfLnksPserIbUVwkZ+jDKb1a2RtSA1EJ/lcm8wTYg4QFu6jv/yIvZtXo8fYL5A1W3b8snElZo3oj0FTZuHDxi11S7hPFFM1LzaLBSAHN7PA43bh6JHDOHrkCI4ePYLY2FgUKFAARYsWRZWqVZEzZy4NxJlZzlKjkWugwJ8l7wVp5Nqz1/4Y9plZV57HsmJyjfqqSiMnTK9eH7fA8cN/YdX2PciZO6/0uUoLT40G7rttTh2XKcDCoil/h5T38qdHRGgw/s1y7bs1ODRkPJKSXUhweXAlJRnrku/jPWtGRHgC4BC0dsMz5SMt38O2SA7tq0jEXSQjEgHIixBkQzDsBuWODi/0N3kOcfgNT1AFGfDI4kDDwCwIsVkRarMgzGZFmN2KkEAbYgK9WBv3AEOLF0FQVDCCI4Nxw+PEhsu3Mbl1LUobt0dlRMNx87D+qwkIjMwIhEZS2vg3q9YhNCIKjZo003yd5XfrO275ulBpd/0c1mzf2UwPhqWn7pIs13yduGQKNyQyLxw/cghzp45D7+ETkK9QUeWcTDngRczTJ7h15SJ++WET2nXvgxy5ckmBOI1BEGU6uT5/EDmvfcumOPz339i5Zx/y5ctrOv8LlXPvXr1Q6/2a+KjuhxJFg0ha3uekkfsx3hA3uww5mAz3L5YbTxNx+n6c9KvicsSIoX9gBrT9jVVGlpHCjJIDkvL9P675DpOH9MXwabPxQeMWimLVSPnW3ff09+ojn0nnVwCccU6WrtlwG4aVNCiStGcnf+YnDtAzqONyWjr9uac6mygvSnlXPr/vNR2XRQo9p8uDgZ1aUkPJ/E27kDlHHkO8A0OQu9QCYyr7jPFrzP3Ifd0ELHgjd3oEUqryPysvTco6eOOpCrJ1Vq8WdMg0Qhyl/PFqN0aflXznuJ/cncvnMWD6IkSkSyedix1/+cwJfDFqIBq1aocGTVsqTu7CF1uca/niRdi5YztWfLsUUWGheuouGvAsBRZixeYRxZNjo9F97Axcvn4T60d1R9Fs6eFJSoJbqq7EZLgSk+BKSIYrQSyT4UxI4jVZ30eOTSLHk5oCV5IaUdwlRxU3VhoAjQc+c7KqBT9TgqCR4CVSpHERAI3uZyk6iAWeLDXquuwfzmnumk85B29k2apaBaz6+Q+4qLZbRCGXxUPeuKxWfDt5GCIjwtDsk2FITnEw7ZvcODRAZiL9+aGNyxZuAuCuXr2KixcvKiBbjyapDjQkkMu/XYg1m9EBjUFU5LQgUv5N44Ak+Z6IgU9LF2IcOAE0b94CW7Zspfk5xcM7euw4+vYfiI4ft0Obls3Nn6+8pCUtOjdpAhdsCCXaOK8iLgGvms+4x4PcOXNg0aKF6NWzB65euaJNSooPlSH4oT8QawywQcaZui3aYv/ObVQBZvSjFtWfQs94Pi3wmZKfWT7nM0A2X9IUXGNnIjQ8ArMHdoPTkZxmkE364LED+zBk+lwKslXQrwqraQHZoik84T7T/zZtXBR6nSJKtxyFlFPByRxAJrVAmxVBAaTaKHWLCP20Et9RXunndr2S7wTaLDS2BomfEf/0EYZ+tRTZs+fAjXOnMHfcUHzYvC3qNmlJj1MDsEnbWoW6bbHgzMkTGDF0EJo0rI9ff96NAq/kx8Tx4+gc0rplC4QGB6N3z57YuH6dJCj79+1WBXEOdWVB0cxK4mM1MQlw4wcgp8m6IlV5iHhW9blGfYhWQDyTB6yYNGs+DTbUv0s7pCQnK5/LbVSON5BaUQQvgwVTjKMyaONfoptkTJ6/7Hv82+XaxvUIDQ9EaGgAwoLseCUoGO2Cs2Ov5wkeWlMQwtugf6FMfxBRCEAZRKIOslIqeU6EcJAtjtNlMZ395cVDpOB3PKG+3CUtEUjy8tSTJsqHs8kJKBkRwRTwdhusgXZsv3IHdcsU4rTxANyNjUfmDFEIDAllab1oIDQbtv+0G+/Xqp2myN7KZ7Kg7ytS8LtQ3QDMj+NvXfM99RdlXLJsg83PSUnJCE8XhXFff4u8hYqoUcdJdbM5PCIqA4qXq4D3GzbHV5PHIiEhiUYSdyrzvWwt139TKIWIsePLeQupPNuxXWv62/I8L54HU75YMGPGDKxctRq7f/7Vx3VO73DGpTkLkO323fefiEBOZCRF+aotDYY6k3EoLUXv64aGIclb508dx/RRg/BRi7Y05Sn7WPL7lfqCflGSQlIZAOUAqvogK9+P4XDzsVSew02+Y/bTfucKs8t8jiK/E/N/8rn1FKlG5ZlVmfuMwdF0XEbm+9Ez59F5YXSvjvC4UhQjKsOJfK6WcaNU/UUfl2U4Y4YQ8/grbN55EP9ysrS8FKBNoneSSONa85QmS10YVundIvIse4AWKmCJBymiz2qRZbll8KcV83F83y4WZdcA3F0pSRjVpyteLVwUg8cS323dGqFaKbz48oupuHr1MubOnoVgu5VbsoUFm1mx4UyiluwH9+6i0adj8eGbJTGkSXXYCUU8iUQZJ+m8BMhOgouDbaeoEsBmlW8LcC0AdhKJJs4iijOAzStf93BwLaonhUQWlyONM+BNtxVgLcC1DLqlKON0yQC1DLbpOvcbZ45KOtim4MnjQaDNhnpvl8Wm3/4yzHi+bSN9ZATWfDUBpy5cwYjp8wyDPy/SpKAE0jKjjSujETsPyZdNqqq54+eWaIOUPu5gUT7/rXLh+m3cuvcQDodTA9uCimakqympJ8wikWtBKWSAreaBpL5gNht69e6FmV9+SZ8JodG3a98RxYsVxRdTJ0nPUy36szV+4E1D9RgANwPTOvD2BdzyfuKzTcB27149cefOLd+BTuTUVgCLDE50wKYr4lgNDAjAuHnLkJgQ4xuwxgiozSKH++RgNgHYUsRyVUGgWrJ1zbYFEZFR6PP5Aty6fAHrvp6W5sBnB3b9gK6DRyE4KFiNLi7Aq9DGmvhnm4Fs8d0niY5/tS+cfxCH2zEkvR2/Bn7t4hnrFHApkBkH2wQ8E0AdwsE2rYFsSSZkX5Btxa3zJ/Flv/a4f+0S6rbqiNDgIHgcSZj6WXe8UqgI+o+eSI+jv8HnHTZp6xOyEWyTce+HLZvQomkjrFyxHK1atsS2LZsxfMgg1KpZDdkyZaTXVKJoYQrA169dTSMKDxjQH26q6PH17VYDqZlE3JbeEXt3+vNTV+QdJtHIDQKb3tWNIpI/AC4JeM+oRmHY9/pVsE0owjMXLsOl82cxe+p46bbMoo378WV8hvXePK2izAVgf66cO4VLt+/9q33h1sH9GPjLTsQHeBEaYkdYkA0RgTbkCAxEp9AcOO6NxXkkIIC3EXGFimuAfN18dhTbDFDr9y3fqTgdiVr+Mx4hPQIpOBff1ajdhnoyOR4lItLBShRYRE6yW3Hs3iOUfzUXrIGBtG7/6xQ+qPIWLHYBsu2IjkuAzWajArM5sDWLyi1b0nSmh2nxB74NB8gWPv9RxtV1EtB3ULe2iEifEcFh4TyyuGBMERYUS4mmVbcXrxYvjWFfzEVicgr6dmiJLetW0f3MYq5bzll+boPi3Ev6QnosXLYC58+ewaTxYw0WR9USGBAYiG8WL8bcefNw9Ohxpaf55NA2gm3jAKGtqr3LTdLV/ot94WmiAwkOlvfdB+drlkW1zz8P2JatqiojQpejkpISMLZvV+QvVAR9Rk707WMSq03+TH6UCtg02o18xlx1h3Ifhu/K3zd7BmbFOFf4HO0HhPs7lz/QrlybwV6mGUg0uUQH3VYTeUphknE5LkP69Jgy71tcvXAOS6ZP0kE2j7nCtiXAbVCSm+3T0nEa028qANxXEUDe7oP4lyMjvRSgffA6s2arDY9vS0KgmSVJS+diiCKrRZLlD/bO5XM0zHujzn00C4OssVgwbQLu376FyV8tQFhosPTydLq4xevGyCGDEBQYgMnjx8LudcPiccAiWbMhpe66eOESWg6ejIkdGuL9UgUpwNas2IlimUyrsFQzkO1bmXWbAGxxnAy2GcgWS3eyEy5qweagOsVFATZL38VBtlTdpsBarV6n0ZqtUtZ1gM0qo7zrQdso3V2yajetWh4b9x7Scycbpjp59bVihTG2X1fMXPw99v11lO81TgbSPnlUMIxIujcvW9/3+35kzZoVBQoWVMGoYs3Wt8mkl8KjXP4bJdYairMnj2Jkz4/x6NEDOnHLka+VSVdo8DUfNhNhw1A1gcgwCb//fi2cOHECt27fwchRY3Dz1i0adyAoOER6nj4itO+6bBZ6VtWAs6QV4MBagG7Fym0Ctr+e/RU6d+qEe3fvSODUvzVbtgCqn6nW5aDAQCycNAq3Lp1X82obrOBm0azl9FAMEPoB2z7XZgDZJhbu/EVLoGnPz/Dj8gU4f/SvVEH2H7t+xC9b16Fi9Vo+wTo0UC9G3jRasrVJ1GKh7TE2+d9jePx68ZFOiZaamT4XsPlAZTeR3Oi6ZVuAblZtVDHKKgHcDDBfO/4XbB4nju/dhb6TvkKx0q9p31k2czIe3LmNMTPnISI0lB7PQLaYuKVqY9r1ACsZ/hMwf85sNK7/Ee7fuY0l3yzCF59PxWulSoB4/lu9blg9bjqnkLQhtHrdVAk5YcxoVKlUCR0+bgdnSnKqlm3x/nTgzWFlGsB2WoROXzBstEQYhEHDV80AuFlN9Rx+wHbRkqXRe+BwLFswB0f++kM6Xv8rt+NnCtUy7V4Rkg0SswTiyDgcHpke1Zt8TFMN/WvlyB8YVq4Ept64gltWJ0LDAxAWEoDwYDsyBAWgY2gOJFpc2ON9Qo0SBHDTsYpGTyFFfwo6wJZJ4bq9Ug/VqN72X4imUcbfQyZq/ZZnbPm9EHcyt9WLBy4H8oSHwRpggy3AjktxiSiUNQPsJD4E98/ec+wsarxdXsmdvXvPXlSvXt2P9drXmi1ben0s2wbJQgVR+j/jkYp7gTKvqi4ExmvZuWUDzasbEh6huiUp7DSPzzoB3UHhEZi6eDVN83r71k0kELlQWLUN1m35OZDrKl6yNAYOG4F5c77Cgf37WfRnGXBL20ThOn/+fAwZNhRx8fESSpPi2ygIVpWZVORnIg8Q4wqRgf+lciuGWbONDCsj+NQWyviVtmIcB4xl0bSJdFwfPn0ugkgQP/m7hu8YxdDUGTaGuZf/MR0zDeObGbjWziEfr9qiTI8TO3wvNRUAbmgKsmhuBq611KvG6seSbdMYxnKKZTl1JqvFS5VG98+GYtU3c3Hq0EENWDMluewqLFeReSSVFJ0SuFaCnpoAbCGjkP79NMksbeJ/2Eeb5MCb/PMFOhhoL0UW7JTgQbqwqgi+kvAqctGKB0QogKtnTkC30Z8jODhYsTgwy4QVJw7+jp4t6+Oz0RPRvisJTiFAPHuBNEKxx4UBfXrjzfJvoEO7NtSKbSW51TSQzaKK06BnjiQcPX4Kg75cjEUDPkb28GCW35rmuxY5rB2ahVhbcmq2b2AzkZ5LUFEkfwbht61p0GRHB4NWmj9U3cea+10b0nTRY/x8Rqvwx5bWZf9sShMjftpkSffZATvxzw5g62Rps6Px6DlYPqoXQsPCmD8312pr6bzIOl+SCebdVj1w7+EjHN6+FuHh4dz/2uCf7TfNl/Dn1tfJ5FWvfn0sWfot0mfIwIGowYfPoCEn20SQzxhOAOjLD/z04/n7tB3fvHAWh37bhdY9+qkd3o8vKB0AJL8sS2pUU/kYCbicOHYMY8eOwU8//YSpUyajd88eErg1sUSb+W1J7VMtqQ0TZoO3NOFrTAXJ9156txcvXUavT/pgyZKlyJw1q49gplLvZIaA6q+t0fXdTPC5c/sWZo78DMPnLNPyoWqWCXEeKc2Eau3Q71cGKPIYZ6SHPwtki+NIZoLRHRsj+tEDTF+/G2Gk/xhA9tOHD5CcEIecefMhgAi1Sm5tI1087ZZseR8p4UF25M/48oOixSQ58emmk3Rd9q025rb253Pts1+aNwQj4e6VC1g5cxxeLVaaBkAJDw9j/tpceXviz/3o17oB+o2cgDadu+uRyuWJ1rCMj4vFonlz8ccf+9G+XTvU++hDquxlIqroL8Z+IqLnSO3aasWOXT9j6bfL8M3iJQgICja1ppG2pwjTQpkmzw8KlZEvxYP2sbqk3k8VgUrbqy7lD55XuDX+vA9A4geJbZfLjY8bfoCHD+5h/e7fERIaroEh8T3Zn8/Mz49aZTV2EANRqrLSa5K+hi1PHT6Iw/t+QctPBiNzWBCqvpoJL7u442NxbVRPpDxNwMOHMRh28Bg+yJgFZYMikJzgRFKKC0nJbiQ63Pg7JQ6/O6JR3ZYRYV47nHIbSfVX5NBZ4snpW7eRhG14gLcQhVKI5AoeL3bgIVoEZqf+2eF2K8IDbQgPsOGoJx4JgUDzAnkQHBWKkAxhmH36AuqULYwKpYsgKH0UvOERaDZhIbYsmAaEpmNpvYIj0LHXpxgxahSy5MjN80yzcVZWhpAij0s+zCP+mRB81TvV/5o+Cbl9SIBaTeklx/jQc2WfO3MK2fK8QpUI2jyjXbsefE+4eIgxXs9UwMYXlzMFgzu3or7bFSu/qwdYlOYKfZvt83jcaPxhLRqE7dffDyCCxA0ymefFc9u3dy9WrVyJuXNm62OSNq9LBhB5KWKzKHO8NI7xdUtAEAKisuBlF5KfeP/VxzRsn2IsMABcXRQ2vG1/r12aF+Uis8bE/Hjsz98xoE1D9Bw2Ds06dPNllWmubOZLDWSmxlYy+OIb52ZZwUBKUmIidu7ciX379uHSpUuw88jy2bNnx7vvvouPPvoIdhLs1qQYFYvys5P7m3EM1OcaSakjbRvFQKOSV99nNkuoTByvib+2OL8854m+SvLLd2z8AR7ev4+VP+1FSFi4j482xZz+moSs4Dc2Ff7gVbnIKN+J+7MgXbAdhf9hULR/DLR/vvgQuy48VARAI8iWKeQCVKipu/hgJdHEbTwX9pwhPdBx8DjkK1SEfiYHvKE5Up0paF3jbWTPmQtL1m1FoN2mgWxxLgKyP+neFbVrvY9mjRrA6iU5soUlmwNtGvSMRBZPxO9/Hsbkxaux5LMOSB9ohZuC7GS4k5M0X2kGtA1+0Bx0G4OfkUosxvEOJ6KTHUgix3FKEQnURCysyS434pxOxJBjUhx00BdALH+6MLyeJQMyhgRrGmdRWfAxAayt6n5DMDQrAdQKuLYZwLaNaq8Z0LZzsG3VQLQGsjnonr3lVxTKkwPvVyxLt2EE2xLQJkD60o07KPthS3Ro1gAzxgyh+7wKyLaZg2yuPDAC7zXr1uH27bv4pE8fTQhTgwupg4jcyTNHhFIL2sssJ+/F4vS9OCVV0A8rFiEkNAR1m7XRfFFV0K1HOJatXKaDu0SZlkGcGNSTk5PwSr68KFSoEPb+tocpmBRLsjzhevwDbVOnt9S4fHgm0KbvTts2vGOrFecuXES//gOwbNkyRKXP4JN2JbXgaBo932h5cHtw//59BIdHwBoQpAdGk3NwK+ciQpUuvPu9PR/hMO0gW7zbezevYkDjGqjeqCW6DB2vgOzdG1fj/PHD6Dvuc9WSLY2ruub1OS3ZBqsiKQUzh7/0VF8bT9yhVXP/MQluKdhLyn7NbcgIhnUl7O+bV+P+jSto2q0/3ScAtt2Q4rHN+5XovLBozRYE2G1c6WoS+MwKJMTF4dtvFuK3Pb+iR48edK6w0n7jVvoPXcLgm8IbPRubLHxcY8rG7Tt3YsWK77FoyVLY7AEK2FZz9RpYLWYCSSpgOy1d85mW57QCcJNifBryB88C29evXEGj6pXQoGUb6vb1T4C2jzAmPVPtGGnftAFd8fFnYxCZKQvdX6dwFqQLNhdoX7QcW7sEmU4fgCM2EY7YBMRHJ2LcnyeR2x6EeukyIyXRhZREJxJTXIh3eXDdkYJ1KQ/wmiUdciOEjVeUjSU/bfmtCABotGEzSOWGB2twB+Gwoy6y0uNIP4jxOnHaEocPAzLTAGgEaEcQSnuQDV9E38SQQoWQJVMYgtOHIih9GDr9tB9rezRBUIb0CEwfhQPX72P/uRsY1rcbEMKAtjswFHWbtsL6DRvhoqnLzIC2sL7LgapkRo+RsSTuU7+/1KyVRtAgW8zZHKGCbTFfrFyyAMXKlke+IiVY8Ewp36/cF8Wl6EExpbgTmnKQ2G2SMHfSKLTv+Sly5c6tBFb0lzbw2tXLqFm5Ilq2boeJUz9PHbwBGDZ0KCpVeht1atXinU2MU2I+NwPcvGXIY5gBaJM/AemzM3nuJRYSyfnq4wQfwGcE28qrlT7/p0DbkZyMTnXeQZYcuTBjxUY6Bz0LaPsGSDOsSzIZC3ortWeDwkidi9k6CabZsmVL1KtXD1WrVqWBNcl3SdDIO3fuYNu2bdiyZQvq1q2LTp06UcW7/Cj8A211/vAB2lJ/FNv63CMpOPhwo88HvPfK1vBUilcsjbK4fJ3aOK67VVy/egUNybzQojUGafOCOuaz85pIq4Y5xtBUfJgH2mfSe5JLiWzp/lGqr3+ENMiN/klp4/wiDVoCBXCLgcLgT6nTM1ULxpN7t6igM3jWUuQvVFSjClA/Po3qZ8XK+V/h/r07GP35l1SYMoJsIih92rsn6tSujaYEZHtcPH0XB9nUis38scFB9tSla/DdkM6IoiCbRBwXPtiM+s0CmaVoFHBak/gy0YG42ET8cvEWZhw4iU92HkS3nw6g1+4/Me6PE1h26jK2XryJ7ZdvYffVO/jj5gOcevAEN6Lj4XK4kSMwCBUzZsB7WTLjncwZUT5DesQkOTDtyFl0++VPzDp6DleexMLtdNPqkauRNs6DnXkk/2udMu71sbxzlMGjnetR0zVgJi/hRYl8OXH22m29x9JiBtJYY8iRNTMyZUiPOd+uwsnzF/l+CZDJXBhF7UenYoU2TkAUsYB26dpV0ZQhDSCbLONT/jkdxNgXzj6Io0COVkIZd3tQu0V7PHn4ECsXzNYoZiICtqZRl4CieORG66pCqZPSpchU8xnTpyMlJQVRUVGwUqWFiQONwgsSxQRUi6XXzA/7GdUQCE34aovP2T4CYBjdlmwXKVQQE8ePR/uPP0ZsbEzqdFt/1mTFD4eNNcRCPnNoX9y7flWlKylWVJ1CpPsNwbwaQJ+/a3lWnuxMWbIhXfoM+OH7xbhx8awmQN29fhWXz57AJ2OmKOdKjS7OAL46ictWodRAtvDVfql9wePFzxceSn6IeoUZBY1frxLDQw50KWhiVit+37wKyfGxaNtvGCLThdNK/blJADWNVm7F6oWz8YDPC8EBdt0nW/PLJsHOgOSEWHz5+RR0bNsaRQoXwpZNG/Dh+zVg97pY7A4t3SObM+B2GirLOEGUuRZe6TqnlNeuWQONGzVC309607bvry1bzGjkslAjA1+jgPMy6N2pnCMtJ0/Lb6rXr7fFLNmyISpDRqxcvAAXz502FZjl+/ZX1BlIinRuOEaPc+FFs56fISpzFm3/xUc85dBLKmTunffNYmy8cB2BkWG0hqcPw9iKZYAgG75+cBOB4XaEhhEquZ0yTPIFB6NzaA7cQTJ+8z6m41ogabN8DPL1WBd7JBSotRsvjiGWpv6qjIxKezqHeBSzhnNXPE7ftFnxBG6E2e1IHxoEW5AdtkA7zjyNRamcWWALCuS08UDsOnwGtd55U1OkE7bZxSvXqKKX5pL3mYfZW9GEabouC9j+qeS6Cwpn/hlo5aZVpowbz6WNTdAsaHt++gH5ChXTjCDa3CvYTtzCLRhQCkOKb4v5n6zbg0LQb+znVBb4dt5XWmRzWUlsZLlkzZodGTJmxOKF83Dm9CnVCmgApGQ5bPgwzJr1FZJTUvR3r6VI1bfltmK2albcyXpU8JdRyPMmaSWN2Tt0o5zB4quMIeYBG9XxR78hZeySCpkXHt6/i/7jv/CbfcZUZJJ+x/gbZuKVcr5Unonb7UbXrl0xcuRIdOncGYUKFuDjv5fOg7lz5UT3bl2xdetWhISE0FzqIuhtWhShaVGS6mOF7ponZApNiSAFO/OlhqdebWJpYHWSMUfE0lIU8ISJbLNQaz7pC6uWLMTV82ck3CcMrf6Dn2nsNT/7mdLLzO1QZpDq9WG86F//BaB95n4cYpJTByx6Y5RuhBspZaFDtzAAcU8eYtGYAfC6nZRiLD802SH+we2b+PbrL9Guay+88uqrWDpvNv747WftgRJhp1/vHnjv3apo2qg+F5wcLHWX5pOdouXI/uPQUUxZsgbLB3dCqNXL6eIMWJOAZRRg8wBmxpoQl4QNp65QQD1gz2FcfhyLypkyYnSpYpjxeilMe60URpcoin4FC6D7K/nQNX8+dM6XFx/nyY0WuXKhUY7sqJk5M96MjELhkDC8GhyCgiFhKBoWjo+yZ8OYUsXw5RtlUCFjRiw9cxXdf/kbGy/cRFIyt6zT6tHAN6Wwy1R2M39sQwoxTRjms4+yrdDe2f5Xc2ShQWTSVph2PUvG9AgJDkbfkZO4WCBGLxlgW1KhHrP1jRs3onbtOggKDla0VzrY9g+yyXYCYSX8MzKHUq4/TURMkosGQRHUZVJJyI9GXfqgbtsu2Pz9Uly7fIlPxPqErKcakVKOCEstX1cDpxlpkMC1a9cxY/oX6P1JH5QuXRq9e/fG7t0/S89enmANQ7SmWlTsZtp+zd/aKMpoihdj1UG52edGKrsA5q+VLokRw4fh47ZtkZAQ7wdsm/j/mKRC032CLOg8aCTmTRhKo+gbfXe0QGoS2NYCZJhUPUKlWpkqKG0gWxwflTEz9aFfMGEYVWxtXDIP4eki0GvERNgJu0TRlkuTgEZFM2rZ9ePkYxhoMQfZpEQnOl5qXzh08ykexacwAdqgetN/Rrf+s2jk/NoNgeiE/9bNC6excf4XqNm4FRp16EHBM/PbsiDI4Mv9+M4tfDv3S3zctRcKFHgV386fjYN7f6FgRfhou5IT8fXM6ejQphVKlSyBzRvWom7tmixuhzZHMNYTOMBmYJsracU6mVMkgE38GwnAputEieRxo8FHH6JUiRKYPGmiL1tFtBtZYDMqrGWqm593mFYwbHao6Wfa8Os/5qzyj1+8fP1II9gm43LGzJkRHBKCScMHmgafkal8ZpYIf0UZMw1gfPvKpWwulD6/8iSBjs0vq3ge3sDkdnVx8v5TLDp8DoGR4QiKDENwVBi6li2Kt3Jmxtibl+EMtSIkPBBhoXakC7IjY2AAmodlRdmACGz23sdDSwpVJgVwJaJ+F+K+zKX8OLgp0C6FdIiEDccRi5tIotTdR3AgrzWYAnjRN4hb1c+JT/FhFgKqbbAF2ijY3nLpBpqUKwpbYAAsgYHU0nns0nWUKVYYsLJI4yR15x9//o0KFSqoAFFayuwNbd1PYDRTsG14jz7v28CAMA+Apqc0Yr7gXjx69BD1Wn5MGX/6danXpM7NuoVc98E2uDHxZabsORAXF4sFM6ZKbkrm1+X2eJApE+sLQwcO0F2afAA3W4aEhFGgRgOhmoFqv4A7DW2XBkV7eX3hcaIDDjdJRSazFwwKYsk/VhlLJLBtqtCTinEsEzvu3bqBVQu+QpMO3ZEzb36sXvQ1/tr3q+m16r9lovB7aU8EFGB/+OGHKF++vPqBQdQiCrCPP/4Y/fr1o9bvBw8eqNeU1otSGHDqHGOcd3zkL+lzo7whu/6auoBZVIxHjaFSRg99yRV+fJzLyPvCxOGDNLCeGrg2i9+lRhg3GHoN8qSMVeV/TxOdVOH2XwHaR25Fp+Eo3cfEVxjUneS1/VYLft+6Fh2HTEDWHLkMmg5BOWSAe9b4EYjMkAHd+w3AjauX8NvunzDr88n8IXox5LP+eLdKFbRs1oQHryE+2XqubBJhnPhlE2v2yVNnMX7B91g2sCPCLARkM0u22wxkS0HMYmISMeev0+i+6yBSUpwYU7IIppYpgabZc6BAQAhsKR44E51wJjnhSmJLZ6JLrUkuuJJJdes1hSxdcKe44XawSoA0SbcxpHhhTClbkvq39dxzCN+dvQonOUazbPtatY1gmy2Z5VqAasY0kn3KdYAtA24BsnJmisTdx6QNpNYA9eEwLDQEv61ditVzP8feg4ewZusO6RgVYGs0YwlsaxRkL7Bk6VK079BBt14YqTOpgGwxib7MVF9E6aRZsxUNN4tM6rHYULZydXw1bij+2POzlgJETf+la8zNo6P6RmgVYHvY0CHIkCEDBnw2EPXqN8D6DRswfuJEdQTW1K7SMxfFzPyj+KTK4FiAcpO0Xiag2szCrYNwCWx7PHjzjXIYNPAzdO7YEQ5HSqrWbFlbysYRNdiiOCZ7jlz4dMJ0JMXH0nFIpvbLPr/UIm4SoVIdmGXKsZlv1rNBNvk8JCwMU1ZsxpAZC3Hy7wMY36s9TfmVIVNmaWJTz6FbAWQauexqoPrz6xOGf4DGgA4Q9wyF6fMGQfO1ZsuwQJrcjW5F8qTN662LZ7BuzhTUbd1RCYgSaLUykE2s2VKdOX44dT/o/elnuH31MvbyeYEAiYTop5g9YxratGiGggVexbbNG1G3Vg3Y4YFNYzoJRSwH2y42ZwgrtsVQhWWbAW63Arbp0utBz+5dERcbg1Urv/dRFOkWHfW5KCLzM8B2Wqr23lMB4EZw/TxFCKYa6Dae1w/YDgsNw/LNOzB9wbc4dGA/dm7daPrLmgIgDUW2ANJtjaYqlJMe/PnLDmTPm1+hWKa4PLgZ/fKConkf30ZQVBS+6NYUKVYrpvx2BIHpQhEUSWow6hTJi27FC2LM9Uu4b3MhLDSAUrcjA62ICLDiteBwdArJgYveBOz0PESyxc3oqcbnooQF02fBA3gKkqugLCIRDTduIBGHEUMB92u2dAxgS5VEGD+fkoAyGdJTSzYB2d4AK648jUXxPFm1tF734xKQOX0UrAGBzPWLViv+/PsQypd/k0U0UOZdo4uE2ZxmDrA1oGmgiPpasH3BuE+0ce04dV49c/woKtf6SPo9kYKLrWv7PXqV43sItyUNcIttDs4/7jMIZSq8TXMF+w8MBwSHhmHdD7swb/FyHNj/OzZvWK+0W1neEc+iXv16OHz4CG7fvZtGq3ZaG68HnpSXFxTtYbzDF9yZgW2NuaUqjLWxyU+VO4UOsPWd8yePRrqo9GjVvS9uXb2Mg3t2Yemsz5VrNBv1/IF5bbzTPn++Z3zgwAEkJiZSK7VSTI0arI+/9dZbmDJlCtq3b0/Zi+bqNfPi7zizeefZlmpf67YuixmqVbJcS67BupFDyG7656SmiwjD2h92YvaiZfj7wO80UCEF4tSFWMWE2raRESedzyyVq5CT9IDd5kYdMgY8y6j8rwBtQoe58CAVmpWSD1e+CRVk6y+DWKC92LVyMep36Im8BQppL0A8LGHNJutnjx3Gz9u34tOhoxAZHo5CBQvhg4/qY8iIUfRlLPx6DvLmzoWWzZsyAUi2RtDAZynw8uBnt2/dxqfTF2LxZx0QbrfAkyJ8skV+az3HtZ7r2ol9V+6g5+6DeDU0FLPfKIMPs2ZDoAscNHMAnSQv3XQpPlcrAdcuXt06wCYUcYeHVgK0RQ2EBXVzZMfsCq/Rkfqz/UcRk5TCKOJkMHf5o4jLwFrQxHUrtc9s5YPA9P3+qDdqO1BVi4FBgaj1bmV8UL0KRk/9Ei6SRoyczcSKrU0Y0knIT+/46SdUrlIFIaGhKoXMaM020ajLy8SXBLQJRfzy40SqrSXBPgiwJv1D0McF+E6XKSuGfLUEOfK9ij/37kFCUjI71gdwy6Db15/TCLb/PvQXTTk0YvQYhIaH4bWyZVGtenVuWZBYAT6irlwMdgIysEsMBnMLttGlwCStlxaFnAEOxo2XwAinkMs08koV30LHDh3QtXNnmqvd13rtC7rlXIhadEuJkkTA9qHfdmP5l5OUwVhR5JnsN0YilwNzGelGpjRy6XqN/nhBgUF4/e0qeL3Su7h05gSad+ltCrLlcdRHWWkCzGTQpnVBSdbyAV08qOXLKKT9H70VLQWnkq3YUjHof1Rrtv7MHYnxVOHad8ocpM+QUQmCKXJrCis1qWePH8auH7di4PBRNLUgoYPXrVcf3br3xKihA9GrexeULF4MWzeuR8O6dWCjrkQOWAmodssAOwWgIJsDbw2AE2u3buXWgLdHpZDL7ZvSyL1uTBo/Dlu3bMHhv/9iwozBOqAEOzIKmc8A22kpMuA1BeISLTmt4D11QG+wQBkt9hLYJlkCKlergSrV38dXU8fD5XIpQfvkBvO8CgAzx5jE+Hi8UaUmjSFinOFIjt+XUUh+cEdCNKzh6WCPiMTQVnWRJ3tmDP3pIGzhIQhMF4agdCEokycrJr9ZBgvu3cIRVwK1bIeGBiI8lEUlzxwUiJZh2fBuYHr85n2CP/EUXqsHQVYrBceUgklkJOJ7raVFtOA+UnAViXgTUQiEFelhx6sIQwmE44HXgaLWMI2OSanpNiuOOuJQIX16BATbYQ9i9eC9R6hSMLeW0osAbZLWqzanjcuxVe7evYccOXPqz9o47/Kd/uZoXyq57rMpW8GNWEQB18ZgT8r39PMLsP30yWPs2LhWA9Y+gN3UlUudi0XQNCXQmgGMl3i9AiYO7kd9T1Wlukixxu6RBL2qWr0mqr9fC5MnjIODxP3xEc1kdYoVQ4cNxQSiWE8VVKe13+hWCxKz6GUU8myikxwmcUPMaOTSeCGAbBrdY4xjmfjeueOH8fvOH9Cp/zAaWCv3qwVQpVZddO4/zPxJPROV+j5OH0WivGHy7P/66y8a5IwVHVCbFx1sFytWDM2bN8eKFSt8LsBnDDa9fN/YLfrzNeIzf9WEFq5RwlOpVoHlCK5j7lu0Sqk25WVYcBCqv/8+qtWshZmTx9N5VRhDBOhWjSYirbMUcNuYzjUVQK22S6mSAK//DaBNfJlSOEgyK+JiZa2GlnvWRDNCbn7D3M8RSqjiNhYMx4xrL9bnTZ+MVwsVQf1GTVikWZsVHTt3QeXKlbFp3RpcvHAO/fv1ZT7ZFGjrwc+ooEQp4ylIiI1GpzEz8VXvVsgQHEBBNgl+5k7RATZNvcXzWhOAHROfhBF7j2DPjbuYXq403k6fgQJj3Sqtgmf6GV1yIG0GsvlSBtgCVLs5JZzuo5ZqHUxb3F40zpMLbV7Ni0/3H8HFp7EsSib1x9ZTdOmAGgZgDey9dAtTd/0Fh+v5hG03oQGZjki8yxqdXDRJ34LRA3rj0rUb+G7dZglUs4UMDrXzSWrNhQsXolOnzvQTzcBuMmnrxWz08iKZTmD/nDJ79WkiEhwuCjIcbi8F3AJAO7hFW2zDGoD02XIhKTkJw7u2wa2b1zVQLlvChd82nbzl6NrGvJxeYOrECShcpAgaNWnG7ttiwaJvFuPYseOIjYvjz1Mj/jzjbmQJxkgr97wwXZz6aPMUSIplm++n4Jtus2WtmtXRqGED9OzenVK+n2XZNlvqFCQ2btRp1AJBQUE0Gryi+RTH2qw4/9c+bFkwg4InM+qRam1lE4wAhn5BtpRzWw6CQyzskz7tgreq1cKj+3fx8+Z1Kp3OaOUU5zP6Z5uAbLbu07V8hACxj7hSvIy+cOx2NI2eLAefeibfxcSFiKx7nA58PaQnnEmJiIpKr/llifgcNP2XmJT5xDz784koWLgIGjdtRrdjnzzCudMnsW3zBjRp2ADrV32HD2q8y3ywufuQcCMi8ToIy0mwnQjwBq18vnAySjkF4BqFnANrDrZ1kC3TyEn10PuaP3cORo0ciQf37yn3rVty/FPIxfvVnpv8ntMsfErPXQiUmjChn5v8+f23XzBjyng4nERANlybHx9Gn98woZQrQ7sEtsmi96BhuHH1CratX+V7f8+Hr02LAGL3b99AtcYtlflDlDuxSS/FleLxnRtoO2IaUmzBsIZHwhaRDt3qVUPF4q+i35a9QGgwt26HIEfWKMyoVA5/J8Ziecw9BEQEICQsAOHUb5vl3C4UFEJ9t0sGhOE3PMY+PEaS1YVgDpRFsD+hrDmMaKRHAAoijO4j41wphOMKElHNnoFZgbh1iIJtmwW/xj1F7axZGW08yE4t2Nsu3ECD14tq1mwSkXvXoZN4v9KbmjWbgG1CCpYznxiZZTACRAlwy/RwAbY10CwBYxNbn1bZeKP6gPtYuGUaO//Ovt07UKlGbfPz8mNPHNiLdV9Pg4MEwZXjpcjsMiPFXGGqsbm7ba9PMXn4Z0hxOg3nMVrjveg/ZASuXbmMtau/5woDg3JCuq/SZV5DSnIKzp0/z5/6P+wsXJPhIfGLXkJfiE4m84s6l8mgRhsHNVcUfhcvALaNIJvUZV99jrwFCuO9jxrxc1nRoHUHvFbh7TTegaw0lBTZZmDboLD0V86cPo3ixYsz5iDZobjupQ62mzVrhg0bNtCAacpvm24Y9pm5J8mA2zAXGa3W+379BVMnjofb6TQE9RWUcA6CpepxORAX85TW+NhoJCcmgKg45fSaVFkuLeV5naS+u3b1CrasXaXF4DL+tpAbfGjhkoVevSfdTUFjAkpzrLHEJb84XmAx5F+gnL4b6/czYyeyGLUIktle3CSJHp4xazZUb9BC03740saZNfvkoT+xf8/PmLVwKQID7BIAB3b++AN2/rQD3yyYD7vFC4vbLdHFdZ87rzOF0mJ6TvgKA5rWQoHMkTx9VzI8HGQTazahiMuA+/DNB/jkl7/Ro2gB1MuVnYJiEsRMBr8U4GrUbDGhqEvlaWmsaC6UWC2453Rg25MHaJg1K7IEB2vpurweQu8i1kYeXdxrpeCmeLoIjC9bEkMPn8TnFcsgUyjJDeiBl78Mr4WAGAu8VkYHJg2G5Tn2Yva+o9Tn8fSdR3g9f440t4GE5BSEBAX6bwQKwJZGTgBlShRDgzrvY8KMOWjRuAECgm2m1myVQ2nB34cOoUCBgkifPj0P76+mIjBSxFNbkjGKpOQKCXzhbkDLmXtxlHLI2iE5vwVeOxs+PWTdypdeCzxWZll+rXIN5H61MO7dvUujFefIkYvdD6nkUXiEGozwVghAJw+Bomj+q2z974N/4Nefd2Ph0mWafxkpJC0bicb+1VezKa1c+2paxgnZmi0xGGTzJLmLMxcuYdz0ORjYszNeK1GUf9crDVTcis7BP9OikGj49AfgJUsr+ZBARx4InchoBINbgAb1PkJCQiK6demCbNmzo3PX7sieI6dkgWI3xNgQLJYtff8crFG9AHkf0q193PszJDsc2L5mGWo2bk2fK70yrwVWrxfbln6NgMAg3L54Fq+UKMNumd+OFsxLgB2j9VGbrHwt73J2BTGob1nxDZp17oViZV7H8YP7sHzOF3i/XmMWcMiQyssIqtMaUdwIrOUiiwKk3RCAHBb0z/rCgatPpCBC5PnLbdas6D6+Sp5LC7B27jTUat4e2XLm0sZ/2YptpI8d+/tP7Pv1Z8xbvIxO4kvmf43dO3/C6FEjUe610nqgMh6sTAbCGrtCKIOoACOxOOjNiD6hurKQ5dnL1zF21kIM7NGJxhpgR4k8x4zGSdp1VLoIzPhiGvr16YPvVq6i9yr1ANZnaAoeDoBF/+Mf37h+DSuXLUHrDp1pX2D9IG1yta+SxfdLMiCf9+V0BAYF4dypEyhdtpzpT5i9XdJfSNf2GtsZkyZ9xiAxPJDxsWiJUqjxwUeYP2MqPmjQFPbAQDZv4p8XeRhbOWsKBsz4Rpsz5B8gytL7cSnInk7Nr/u8JWv6dOjQojHajZqBFRMGwB7ORsRWNd9GutAQdF/3M2Y1qkot0xZO2x71VmlsPn8do29cQt9c+RBpCaB+2QFWN8hMG2jxoLQ1HIXtobjhSsZ+VwyiPS5ktwQhP0KQHoF0rLntTcJNJKMmyZnNxwpyi8cssciDYGS2BtLzCkUjVUp5XAiz25CBBEEjtPFAO1w2K82EkiszoZIHULDtslhoppTIqEgtEBrpB/cePEK2bNlw9uw5TJg4Ab36DkDRkqVUqrP0nHUgrrd3OtVx667csih9k37Gv2Wx4Ma1a1i65Bt06twN2XPmMFjODVRrwXQzAnAvUKN+E8o809uH5PLCKeRbFs+h+cOvnz9D5wX5Bug8JoN5MnSwAVubS/mUh8zZc6H7oFGatZsOH0SWo9ZsdY4vWqIkatethxlTp6BRk+YIDiI8RvGb7AJIn6Fdi7iPDRuGMWPG4Nsli9M40ZsU7Wt8riM5tYkCMvCfpUMlPq7iOtmJaYfXZRK+TRfiBomMIDIn0hvmxz+zqCD79JG/cGjfrxg5axGNfaIpo1+C4s4vnhWW9HNnMWXiRHw6YADKlObthpdHjx4haxaSQs0f7cusMIEkKDAAr732Gk6cOIEyZcrg2rVr+Oabb6i/fs6cucSR2gVpz12chTwD0eAlkVIWEX1lCHZTX86YRlMtnz55AuXeKEe/cO3aVZw+dRLnzp7FxYsXEROtuxVbLBYEBhKWDmtDBBeR4INJSUmaokDIVGS+IcEUCxcphrJlyyJv/leoLPFa6dL44KN6+HLaFDRs2gz2gEBdkU/mUGNf5/OJLiuyv7LyT2tr3M3FDF/Lj40oyuJTXIh4gawULyRVkYHn9P1YTQjVtTu6Jcboa6cGDlIpkDfOn8Sti2dRp0V7Hwu2sGDIAhWZhAsXLY46H9XXo9RZgF07fsT6tavxzcIFDGRTAUryo3MRgM2sEwRoL1izFcXyZEeV4q/Ak5xIAbYA2RpNnFuxSUqvp3FJGLLvKF6JCMOd+ERG8ea+02ZAmyzF8xIDuDynK0Kxlh+bAe4fH93HLUcyfnr4EK2y59TSdllhhYcMyQQY2El6JA9PkwRkDAxE2wJ5sfnKLXQo9irDNaQB0RlKAteGMrxmBZy6/xilc2ZJ2+DDR5LLdx6iQM6skuDJ9ovgS0a+qkxdJusj+vfC69U/wvfrNqFd6xaqXpKfQ6WNM2v2oMFDfDTO2kSqNVJ1nwqy9eMIffyfAG1y/pN3Y6k1203bInnOTBwgoJq0Tw9NV8QEBbs2wXuQMUduZMmVB6u//gJxTx+h+5CxCAsN5d/lx5El0eDRyZspStj9siFx+udTULRYcdSpW99Hc1+9Rk18PWc24uITkC48jHZWIQSbv1R1WPL1xeY5OHkb2v7zHho1c/OO3XiteGH9O+I9EwFCzDr0t8WPMyINhcXkoXApxELuTYBtfqrWLZtj1epVOHToECIjI9Gv/2c+GgMNCIv7EDdIlRrqYEntwcFBCAwIwNT+XdB73HSEhEXQr5BLadt/JC6fPo6CJcrQ/qa3GwHoxXn8p9ZS0q4ZQDaxzm9ctggBgQFo0+tTbSxs32cgOn5QBbu2rEXdpq19zpk6yFa1588DsuXP4h2ufwS0yTM6SIA2VZSQuAT8+YmxT/iXa/dkCIrJWQHkeaUkxKFp908RwYNhyn5YsgsRpaDx/bO/YH0hX97caNW4AVq0aI5N61bTucBKLNac3i2szYLqLVwZRPVSoK22ez3bAhSAzax3Nvz4829wu1ysL5QoqojMDGQzhRsZt4sWKYySJUtg+48/oPYHH2q0MnE8e79cyJRkTLKx9vtluH7lMjavW41un5D2k/ZiBrCV7xus0UNHj8fJE8dQqkxZSZljfOmp/ZgvsGJKB67IMyr++HbPAYPR4L238cOG1ajfvI0shz+zaMBZAlvakMVPkJKURAU1m92uKSbV7wM3opP+EdCmaaXcLtSsXp3S4DuO+RKLR/aBLYwJlh9Weh0ZwkLQZfUuzGpUDZHpQrW0nPWL5kPx9JGYcuIsamXIjHfCImENsMJGsq443QhweRDosqCgPRR53SFIdntw1Z2E8+5E/OmNoQLhAzgQCitN7XUJCTQAWhI8eMUSgjdskcxixCOZ0yi+NisOOWPxRmQUbAFW+nsk1eeJx9F4PU82WAL0FJ8nr91B6cKv0hSejDbOBruY2FikT58BP/20g84LP27bQoG28dkaX6PeDFgmcKPyhs3hbNwQ0wtpPyuWfYvLly5h9arv0af/AHWOl+QsrQ0o16D/mzK4HwZOmUWtz3LeZlkx0KLfcFw5cwJ5i5ZUrFqsLVu4XlwHy0x5y5TGHq4koFHLrcArRYph1vjhaNWpB3LnycNlMuWOte1+A4fg/cpvYd3qlWjVth1VQBClnLgEMs6KZ5Yvf34KVC5euoiCBQrwi9O0xPxhs23R/dQ5X31DQlb0piQA/wBok+dF0tqyvs+UDtq1SOMAnR+16zRo7OSJyoQlpT09E0bNijlfIH/hoqj8/oc+42VqbigyWH/RsnMH6wvbtmzxAdrp0qVDTEwMIiPT+cg0qRZ+QeS8ocR9EsC3S5fSvrDy+5Xo/9lnysF0LhFikYKk+R8D4DYCax3fseX4CRNx/OhRmkp53KiROHr0KF599VWUKVUK71V5B907d0RUZKRkcPGm8WlZkJCYSFkZZ86ew+xZM3H16lWUKFkSH9VrgMFDhqJyxQrYvHY1mrduQ41XIrPBs0E3O78YH4ixR3scCug2b1+iEPr4iwDtF8qjfeNpImbuvaz51em547igJPkzMuDM86JyYUpOrZMY/QRzh/RE/y/mIypDBh1YU4sFs2DIgPvqxXP4qGoFTP96ARo3a6Hx9H/ZtQMrv1uBpd8spDlhiTBFoozLfnYkjRcNfpaShKPHT9Fc2csHdWRRx5MTaeAzLX0XsWSL4GfJTkTHJqLfL3+hY6H8eBSfjDfSRSLIQ/J4+wPaIpe2PslLcz1vVnrjFcEcBKB+6nHhl/inqJU+E6KIJpNrvC02ng9bXtqt/DOSixroefAo5lcpBzvNh22lubDJsdYAlhub5cfm+bKJhs+QO1ur5PgAciyZZMVEyyrsAVi99zD1cWv+fmU9f7b4XOTUtpLc24ReJvlySfmz67frihu37uDQnp1s4qb5Z5nwqudZJh3EiqfRMejWvTu+X7XaJ+q2ANB6ShHdr8sUZPN9pC3myRiOFy3XnyRi+m+XWO5f0Va5/6jIEyznDBbB/OwWfZv0gxN/7KF9p9xb7yAkJEgJGiEHiJCDgF2+eB61KpXHzLkL0aRZc813WKbNbNm0Ebdu3kSfTz7RrXgmabd0QC3lCzb4YRt9tpOSk7H9572oWaUiwsOYv7w2K8ozH12ISZ+8UwFUmD+JnBudbduU3Or3HjxEpy5dUfb1chg5cpSSV1tQ9OSUKZqfnEibJqdjkdbPnjiGbHnz48aVS3i1eBmJBqjn7DWmqDHengx6jX7VgoYk04OXTp+IXHnzo1bjlgxYinNYgCGdW+H+7VtYtv03lt/eH4iXH6dsxZYft8kYoxZfrT5ps69minjhvnDuXix6rT3O0zBaaQRjEclY86um+1iUcKXyfWSMJ+10xiftMOjLbxCZjgVs0qzYGl2cHMvSgJDvXLlwHu9VfAP1GjSk/WTa51OQJX0knwdYSkdqzRbgmqfl8mrbPFK4iCEgB/8zWhykfNkUaNtsSHJ6sGP/36hZtRLCIpilz0vGPjLuUasf3+b7SXyGhk2aYeOmzQgIDDREMjYGb9Ktcw/u3cfGtavQqEVrmvpEyXdqUlQBVFXI6Pt9j/8nNG15fPW3z5gf3DhG92jTDHdu38S6Xfu1Y1SarpQbW3xmjOasUXLV/SmOFDy+fx+ZOYtIz+erfy880I7GJdPO7jIWonRxxT2BxZkEiyMJazZswq5f92Le0O6wEFkjPhaehDicPH8FA5dtxdR6VZArOAjO+CQ44pPhjE9BYnwyFp+5hPPRceiWIzei3DY4HG4a+NThIG5KzOXI4fLC6eWxPrzAbVcyZjtuobItilq6U7xe5LEGI9Jq15g2QVZWSSq8sAArwgNtmBd3B53z50OerOkQFBVCI6MvOHMJVUq8irdLF0ZgeuZrvmDXX8ibLy8+fL86vMFhQFAYvAEh+OvEWez6bR969u6DH3f8hMpVqyEoLEyjT8t5k5ViUFjKAR1N4xfw5f3797F21Uq0aE36Qiadqaa8czXGiTF3NqmfdmiBCQu+09N0ifSbUh5tMa+I9mYsYvzX3Je0AE/CNUl1h7x99RIWz5yCyXMXm2S9kHxMLUCnVk1x+9ZN/Pz7QS4DqO4mWrYLwjI7fRrz5s3F7FlfGuZyMY6ZKc1ltpq+1IwyNhsCMuV54b5ArICn78Uq/Vvt+34yxsj7hAJE2/ZpQiZzoAXXL51HxzrvYMi0OahZr4l2gD6Hquuaa5cxfaeWUcQ3VoqmNFZoyOz9JCcnUVZV9eo1qNJYVs6PGT0aDerXR5kypaWbSg2OqYN1p85daGA0EgT37r17WLlyJVq3boOMmTIpp9PVjobnlwa3LhloCwXw5UsXMW7sWGTOnAmtmjfH62Vf48fw9ia/IbP506wIBZAwqlHgS4yKwImTp7FqzRqcPn0WDx4+gNvlxt4Df2opBPVghbLs5stuoeeX2p3YNn02fEU91kvllKLZiGLk+coLmS9O3fPNr6cNgKaO9PJgqVq6k+Ji0H7wWESmz2Bwluc0Qc1ywfavXLIAmbNkxUcNGmkg+7dfduP7Fcux5JtFlAKt+M2J/KfcN5tYspPiYjFo1hIsH9KZRpT1OIglm1ivU7hvNrFmE4BN9jnpcuTvR9G50CsoER4Bd2Aos2ZruaxloO3l6bM42PaxqHJtoSSka42Z08PJMspmQ+PIzHRIIOclQNpD7dmkYbE1uiRghPwWV6GS51ooXTguRcejcMZ0TFtjHLVM3x23PqZRwCLHn752G02rVdSsz7pPtoQEtBuU9mtLC3p3bo/aTdti74GDqFKpkknv1q4Qq1avRrPmLZTOY9RewegLZgKy5U5HfKEdLjfVzr1IOXo7BslODwJsXti9VmrFZp3ewiZpmxVuG99nYwoDeg1WEn2UUcrtXgtKVqxCJ+OZI/ujWJmy+LAZseTwVCNSJAVKieZv7duF82hfqFOvAT2OaOmYdp1ruS3Ah3Xrof5HddGzZ0/ah1TVnf4e6E7OlhUuBb4gW7Lqeb3UbaBh7WrscwJO5KJp3Pn5KUClPDkpqQ8bHTUqOaEZM4KGQiPPljkztm7aiKHDR2LB/Hno0rUb/wmdKs7Ox5eUjssRMXGV8HCmCLl9cn5+icVKv0bpS3u2rsO2Fd/g4/4jEJUpiwRwLJKmlD8OI5CVJlUZYMvRpJMS4rFq3gwUKFICHT8dSkG0LCyJ/tfk467o17YRjv35B8pVrKRHQDWzZBt8seViDrLVg8wAOBEwU1xuqqh8kbL/8mMGdjh7him6dKu2+F2jn5Q8TxABZ8/a71D5w4aIiIjQs0xwkC2UsILJJOaFr2d+gcDAILz7blV0ateGBjnT03CxpfCjZuwmArKJS5ELXo8LsTFxOHflGs5dvYlLN+7gwdNoPI6O04I1khIeGozSBfLitcKvoFyxgkgXEcGUiDY7QuyBaFitEkCiMHtcnOklKOOMjSNcf4h/IMnA0KxJY2zZvAmNmzalYzRpN7TVysOfEIZ4F82SLSu69OqjdTFhBfI7bBsBtqnSxfezVOw8hm0/ApRkzPCaGqgky7bxe16gTefu6NSsPg4d+B2vv1XJ79UYr0SvqjVb/pV9P2xE0dcr+P0++ROb7MLTJAfSh/hxjXpGuXHzJrJnzqhtk/SiJC5H3y++wazPOlPvIPKeSxV5BfO7N0XPBevQ853XUCF7Jk2pTqzK3csUxsUH0Zh5+iKKh4ajflRmGlnfZSExQSxwuixwWEh8DwK2QZdHnHGIsNhQMzAji3XAZRDZnSVIijRO+hX5vcduF7KGBlOFPVXeB9hw8sET9M1XiSrhLUR5brPj6MVraFT3fdb2NSWpheZyDrAHICQkFB/Vq89SXcrv9xkgyXCYptXU/nL6pDhllqxZ0bNPX3akNM/rsExdN4pAZJVQWMu8WZEZQhR5InUQYiZKeWjj5n2Nj32UKcVpp4I1RWruVwqgTpMW9PepEYPSx/V7Zs+Fmdrad+2O1o3q4Y/f96HSO5W1q6eWbWGx432qeIkSePI0Gjdv3UbunERRJHFiNTqAv5vwc9dEIUniNJCx7QVKTJKT07/1gcCfZZtZF6WXLKzdoh3Qe/VFiJqxStomZdPyRciQOQverVNfnSjFvC0fnFp5bsUju1mS+7pevfqmissiRYpo1G9+k1xWesaYyjeIoikqKopuEZeNvn37qaKdMubyJ+hj0fa5ZBP5gY0ZCfHxmDp1CnVfGjNqBArkz68GuuXyIgPc/IQG5Y150TEBs6JzJqvVBpvFirIli6Ns6fHUVXXs+AmYNWsW+n3SC2PHjUe69BkYU4T3F9rn6CNkmIj1Z53ZaMQFrD2JDqSzyEiR2Z9iriXKzSTibhpg+/eDoZ0y8882pJzRBU8jhVyEcQe2LJxJO3G+QkUVH2xdkJKDoAEJsU+xae0qtOnQCaHBgZQuvn/vHny7eBGli5ObZwFpiFDF0rIIgK3Txh0YPXc5PmlYAxlDAuDVQLaoTr50we1gde3ZqygaGYGS6dJxcC2ClInc1by6eCUTDI0+zSZAoSElfkDGlE56lGlCNeM5Fmmua68UzMxrqMzPQVb7yX3zcYoD2cOCVfBsiLSjpUQw2a+G4SM+tUw4VF4uLDh99TaK58+tA2zN0mOVjudL3kb0JevR773zNooVKYTZCxYbQLlKGyf/t2/fjtp16hgsI5LmycRC4m+Wl48lGtcXLYduPKW0ceKjTfzWaEA0l5uC72S+L4Wuu9kx9HO+dItKAqixSOXdRk1F9NOn2P/zT8xiIVKEKW0GePr0KTatWYUWH3fU/FWUgDL8HgmT4YMPP8SWLVv5revPV5WGVTFV6dpinwK+hTXcN8CZWbAzplXXA0OJ4GgyZVfe1nIRc59Z8v2J48fi4sULWLpkiWbVl60BIvK4bh0QkSd5VExNkWfVxprQkBB8MnISmnXpRa2w21Yswu0rF0zyM0qMBGOOSG1dSvtF/fPIDODG0i/Go+xblVHto4Y+IFsGmeUrVcYrhYpgzZL5ShRWJXWXpL+SrTs+VTuOK8EMY7OmAzOUhH/QF/ZffuQjrPrTmutKWZlCzu6zbOVqqFq3saR45QHQpGikzLrNqONb1q3ChnVr0KHDx+jSrjVsNJhZIqyORFhS4oHkeHiT4oDEOHgTYuBNiMX1y5fwzffr0Xn4JNTtPhTdx87Ajt8OIMjrwkflS2BY81pY9ll7rB3WhdXhXTCjSxOUzZ8Dx89eRLMhU/Ht5h1wJyfBSxhRxB2JzjMs1Re1kJN2K4L8mTBE3iz/Jk6dOuX7bJ71oH2UPf5T3qQGsn3ai7Ytxlyzcxrbkf/fVduhsV2KazLcDN+o8E4VFChcFN99M09yjXjeeONGyMUKCWwVni5KE7yMbVSs33j64tHHx4wdh8vXb8JttcNjD4Q3IBjtWjRD8aKFMXDWtySPE6yh4bCGRSBP7pz4/tO2WHPsApafuISAiFAekZylASucMxNmvf068meIwIibl7DXEYPA8AAanZwETAsNDUBosB2hgTZ4bV5KAa8SGIV0ditCbRaE2qw0YFqwWHJrtgDbpB9d96SgQEgoA9i8kgGNzCvUN5gw3wjLyGbDg6exyJo5E5cNhAhpQZYsmfHw4UP9IWjvWVc6prWYHWmcoWR9sPLiUkHIxvYfYLejQpXqvK37jqOKokqeMgV2NVwLixxuFqHcN1p5+crVMG/aRBoYUf2MM/W4df6td6qiUJGiWDTvazUquva7+vFk2b9/f0yfMVPrcKlnG5Gfrp/95NyEPv6C5SkB2iauVnr7UJXI7FmbpLGU5jRjFGzjsWQjLjYauzatxUctPqasIfEEtKdgGHOeG0v7KYoElUpbJBHHifGIKFvUK/OrCtWOO3P2LPLly5dq5h8x//qcxY/MYAwcJraJDLbq++/QrGkTVK70NpYv+QYF8uVlbrnUNZcHmhZZO5xScFEtyGgyqw5Sk9RKWD/0M750JrNApfT7Kczty5VCWTeTx41G0aJFcOHcWfTs1gWjhg7C08cPePRyYZDV5T1j8G15DlOjjEvjlJ9nJSuOnrc8N9B+kujAnRjfPJNi0pQt2vLNCGFK0GNOH9yLpw/vIb8GsmWALQu1InKdBds2rIXT4UC79h2oEEYCQc2b8xUWf7MIYUEBWhovRhcXqbx0oE3qgSMn8CQ6FrVeL8pANq8UXFNfbA62HcTS7cLVRzH45cY9tMyXxxAJXAfZJHe1BrJdLKWTyKGs5VLmGmeXXHl0abZk1lUKtOVgaiZV177qOWr1F2FBvNOFiMAArQWRyVBQ0tkgJAFrHiVUB8vCqs4BthQynvkjsprkcFJquo1av+Tv6hpufakO9vI6+Y3uHdph245duHvvgTqgiO9aLDhx8hQKFixEgyoYBXiFiiSoST7WbJMlZxi8KLi4+SgGpy7fpMCaAWwBuMmSAGw3Bdsk4BrdR6vbBGTr26QdfNS+Jw2W9sWw/jh19LAelVyitG1ZvwZOpwPN2rT3k2Nbp1m2bNUaK1Ys55o9ZlVXVKxmk4Fi1TaAbBlgc9Bs9HPVqpbWi4AOAThUQK0EovIHvClY8eKLqVNw5PAhrKb5iGVwK2h6KviWKXhGGr7s+1uwSHFkyZIVb7xTFdu+W4wfVixCYsxTGvHajP7vkwZMcqPxut3USj68U3PcunwefcZMQfl33lXSkBkpaFR4sFrRuG0nGgX38YN7fPKTALbQl0lIS5l+FRCtR2+V9Fo+07mxvqjS6crdx7h4P56PTXIwIZPJXrImKNHGLRbsWD4fiTHRNMilzeibLYNsMoF63Bg3fAi+X76MPruBfXtRcG11JHCQnUBBNijIjsXF8+cw4ou5qN35M4z9einCrB6MaFEHG0d1xbeftsaQhu+iweuFUSpbJLIEWmFNTqAUX1bjkM7iRqUCOdG7ztvYNLIrHj9+ikaDJuPS1RsMaDsdFGx7CdgWNHQFYOt0TbIsUOAVXLp06bmftWaF8adkMak+bUXsM7QXDXA8x7n9K3qeAbhT+S5pEy3bd8aendvxiERolz77pyUiKj3C0un0P9ZGfQfB6y+Y5svt8eCTTwegR8+eeBQdB4+NAW1vYAi6dWiL7NmzY8yiNbCEhMMaGgFbWDjSZciAhb1aIIFQmbftQ0qQHYGRYTzfdiiC04egTqHcmPP260i0A8NuX8ZpbxKCOdgOCbEjNMiGI644uOFFjdD0CKVA24oQDrbJMtimA24Btok7x19JsXgnQwbqn019tO1WXI2Jx6uZ01M3M2LlJiBblwtYUCl9gAHy5MqFm7duqiryNLYluVhM1mQWmjbXG4GuZLGSz+YjOBsUjfOmjOF9UlcmaWwbQ2AtOeI0lzL0f9I0KQNi3Y3JkDnE40X1uo0wYXA/JCeLaOYCNOvzOLmyNh270BhEJH2aSAMm8ouL1GDiGZAgWXfu3sG9+5I8JSOK5y5e5qf9AoXIOsTIoD27NIJtHfzpQFq8Q5/sDEbQxOvPW9ZTGaluy7b6+5fOr7cQA+Aye0TPoFlLh6W5kPS09erVo5Rv5Xs+k7l6weTYGTNmoEuXLn7ZF2bzrjiJ1gx8np8cQ4u9q4MH/qDZX548foQtG9fj/WrvcsYwZwvzVJdaGkyalYODbRlgO5P8VwqwE00+E98jQDuJgnaSirN7pw40Zs9XM75A/bofom+vnpg4djTNIEXgiGIM0eQ/OQq5lBrV+O6lNqk9Mb4h5JnY5P8A0L78KMFnKJNfo++kaZKDjdDwIiLQYdAYyW9FtRjJeW3FMSQATNVq1ZE9a1acOXkcM6ZNw7dLlyAiJBhWr5v64vnQxcXSmUJzso6e/z0mdWpEQbaoPhZtBwt+RqzZnx86g4ElCxNUrFHEVZCtLoklm1mzJZAt/Kek1E161UE3s2ZL1a1br83Atpn5NsHlon4EinVBA9M8gI8Qgijw1sGwfrwA5gxcU4AtrNt8RNt38iLeLlHQMHNxUM59bVUpX17qAz4B0U3q14XdbseajSTVF29J2pKdZ/nyFWjThgXG0aC0qWXbLKWQn+GPd5wkkjLtWT4kJuVKtBOX9m7BrzMG4M6Fk5o1WwPbErCmwFuyaqtgW7Vsi+02fYdixdczaFtnyhq9XW1bvwZvV62GDJTq7M83kU3CEekikCt3bpw7d059J8qz4QBA9tUykG40sKDlw+agORWLtg64dYDNALcOrjXLH7diWwzpkbR10sctwKwvZ+K33/Zg3do1KtjW8jmag22WfsIXaMuKPpIycMD4aWjUrgse3r6BLwb1xOefdaOA+/Hdm5TyKacNE+vk+s4cOoi1C2fB7XDQgEsTF3yHAsVK+PjgySBbCHdiEqj5UUMapGnn1g2GwGEmlkJp3NUFFhVgm4JruQkYasoL9oVTt2MQe/2M3pq0ZpQKZUzSIpN7T4yLxqk/96JAidI+ChFBG6d+3lYrYp88RJePW6H8G2/QZ12z2nvImTESVmLJJpN2SgIsDgayt+/6BU36DMfkBSvwftnC2Dy6O+Z2b4KG5QojWxDgiYuBJy4anvgYWqn/LF+KSvxpPYmkxsOTFA+rIwmffFARX3RujB5TFyD6yVMOtnngTSKM8H5B+4ucGo/3JZJqLiUl5bmftfYezeQxf9XYVlJpL/Jv4Hl+wwxU+QHcPj8gb/ONWvVYX9ixZb0Ww4Re8T8A20RYat5rIFs3ZT7p5WFCCh1rn7cQxWq2XHkwYsx4dOvRA06vDV57MBAQTINKfdqzMwJDQjFu8TpYQsJgDQuHLTwMARHhGNTsfXSqWQGdVu/ChfgEDrRDWI0KRnj6ELQrWQCTy5XE0eQ4TL97De5AwswJoBbtP1Ji8FpQOLIHBGrgOkQsrWydgmyblVfmVnM6OQHFo9LpFm2bFUfuPcYb+bIzazYH2bFJDoSHhXCZQChs2UslNFmSYoq+JUWBI483JqhbKsYmobw7aemj/5UU7mbF2OTEBvmdTFmz4cHdW4qSx9fCyv7Igrd8YTI41sCybNXmKb4U+c7rRd5CRdCqS28kpyRTH3HTmAFeL+rUa0hlpM0b1ynMNS1+g+QaRy6wX9++mPr5F9rF66qP5yxcsKKsHTp2PV/RjBjyeJNGsK2kZBKf+cnxbMaq2b15Hcq/8x4yZCIBe/X3KK5DL+bv1di+0vSoZKVQGr7Tvn17rFq1Cg8eEKWIuAiz96TvX7JkCbJkyYISJUr4/rgBZJvxEw0jP1MmKT7owMMHD9C1c2ds2rABS75ZiE969qDulYJpqLliacbMFAVss7SZMsBO1oGz0aJNlOKaZVs6loBreclr049q076wYf1aVKpQHhvWrka196qiU/t2+PKLaUhJTOBymRqvyIcVqLjuPQNsS+82nqYv9f67QPumpOU1aoF07QjvDJLZXuwnAunXQ3rg1SLFacQ8o2VJ88Mz1BtXL+Po4UNo2rwFrl+9jJHDh+KbRQuQjvgUSZHFWfouIew4We5TYmlwOjBh4Up0+bAKooIDqEDk4dXtdMFDq1urXpcHR+89Qo6QYGQLDOJBzhjQJr7XemRxZnkW+Y5F4AwaeIP65vABVtM8ytZHfSA20oA0XyNjL/cjzQi8/NOd+6iRK5sOnjVLtgS4SSVgXAPU0md0Pwe4UqukgJyDaHLc2t/+RqN3K2iTrWrJNsykBnBtmL2QPn0U6tSsjpVr12vHa7m0iVY0xYHz58+hZOnSfmnjxu1nWrOlgBvkDwG+z1suPohDvhqtUKLlACQnxOPO+eO4d+W8L6gmlm1CH6dLVsU+cZwvndyDwPBIGiQwS+78OLDnZwrCyWR89fIlnDx6CHUaNdMDghnBtjJhAw0bNsLGTZv4czeoNU2LiSXbmCebRm7m0ZtJJRQo6q4hVfGZqBolnANqr4j8rKZd0mm3vnmJyQA6b84c7N61E+vWrPIJHqMHjNMt3UbNphrJWqImS8CueJmymDBvOfqMnoLw8DDs2bIe43u1w7qFX+He9cuY3K8TxvVoi7NH/sTPG1fh9KGDeLNKNYSFh6Fey3YICQ42ZFzQg0Eag6eIYyKjolCpWk1s37hWCv5j0L4aLYNicjD4dCuvWtZi+1OK8u+Qtvi85cztp7j/947U/Ryla9WDBunvJSUuBq36DGGB0UguTQEG7AwQkPVAK3D0r/3o3rEdRgwdirIli9CUf60afQQkMwu2NzGWUsT37z+Aut0G4siJ05jdsyXm9miGcjkzwx0XB2dMLJzRsXDExNGaQmp0HBzR8WybLuPhiE2AMy4RzrgEOEmmiQRSk2jgTE9yCnJHhWFU6w8wYNZS5pokLNo0uJrE+JCDEkl+a4pAb0QB2pr+/l+k+ADfZyhk/La1NFZrGgC3MbCVWbo6kju9SvX38cP6Nf6vTXoo6vMxf1oJcTFYNGmYavFR/Hv1QrYJg+95CxnfyZhcvFQZ1P6gLiZP/RxuEgHcYofHRgKJBmNYv54IDQ/HkLkrgKBQWEIiKI2cWLcrli6KZZ+0wIw9h7H+7DUEEio5qeEhCAwPRkB4EDKmD0e/0kXRKF8ujL5+CYcc8Xhgd+O8IwnVIzMiKNiOoCAbggN5DWDLoAArq4FWBAbaYA+yYXnMfdTPkhUBNG82C4BK6oGb9/F2oTwseCoNaGrDvacxyJmF0MZNUImhx5vpUfxhbG30Mih71J+QY4Wb/DO1PZhcjwIzLGjd9ROEh0cwGdUE5MkGImER069fv2BFIOfA30ghdxsqkRtLlHsTf+/fixUL5qjztzSfp4uMwrs1amHjmtWmwd7kPNxk3i//ZgXqXnb2HMmrbTYbMDX68xQ6vj1nSXC49F/RnpMfsG1UKhvGC0FlTssYdPvaZZw9fhg16zfxGfvk16aOccosqgIxf89EAdVS0C35mFS+ZyfZT6ZORY8ePWg8ELW1Gt8X8M3ixTTK99ixY/0De207NZhtPs4TuW7tmtXo2KE9evboji8+n4JMGdJLBg8D1iLMYS3YdDILOJ2SSINLe5MT4E0SlczLxIWLV+LGJarYJyr5Hp3LE+m5kJIES0oSPTcB4hnCglCnxrtYuXqtRit/752K2LxhHUoULYy2LZtj8fy5VKaUsaRukBHMQoN12zAnpdY9khyGmEQvG2iTiOP6KzNqBySLjeRzJ/aTm9u8YDrKv/s+BdkikrgxhZcs8Iqc2lvWraFW8NfLvo5P+/TGwvnzkTl9FBPGqRDv2wAYXdxJB4jDJ8/g2p37qP9WabrtIZVYrh0CZLvgcZHqptRPj9uNZWeuoPUredSI4ryK9F0UZGu+1RLoEYCaU3yUwVVUESHTQANSJgtJIlAVGjJ41kH1nrsP8F7OLFqMEkggmqAOCqQ1kM0p4Sb7te9ommtuEbdakZjixOPYeOTOllkH4GJWEhYHoyRkANeK1A8LWjZpiKPHT+Ls+QvK8eTOf/zxR+abbQquVR87H623aV5tFWR7uXD0vOXs3Tg4SaC6sAyILFAW1vAMOPvTSvzxzUTur61SxlWwLdYNFm66JP7azLJNIhRb7IH49YdN2L1tA93/48a1VEh7u9r71OIiou3qYFuNykvaVIWKFXHgwAE9qqM8fSgDio6UtKikIsiFIVq5ZpHmYJsElyJRnJXKg075gm7+PZk+rlHG9ZRLZvsJGCcAev7cOfj555+xbs1qFVxrNHGjpVv15xY+wCzQlhQtXgvASKJnW5AxQ0YK+j7u3R8TF36H1t37Iu+rBTB0+lyMX7ACZcq/hbrN26Jd7/4oXLwk/Y7sH6T4chtSfin+11zI+KBBM5w7eRxXLpxTrZF+ALYZRVx7rVJ3SwtYI58T5c/zlmsxXjhiHjDGjYE67kPl5OOXbJG4ce4kbl8+h8IlynCgLcA2AdjcAme3YNOa77BkwTysWrEcZYoWxNrVq2k01w+rVoAlOY5asG9du4o2/UdjzQ+7saBvOwysXxVRFhdcsdFwxcZQkO0gNToWKbRyYB0dzwE3B9kxCazGJsARl0SrMyGJZaZITGZgOyUZb76aE9nTR2D97t+ZMCqlDRM+2jKNXI4CHBYWivi4eO3Zy5YW7X1JL/R5Qa/4vr/2YgZc0/RZGizaqQPutIHtjxo1pYwe1hfk6zbxqTTQ3s3K00cPEZUxi6FR6pDMmITlYcLzgwsSLEe4gzVp2Ro3bt7Ar3t/h4dk27AGwmsPpNbtAT27IHfOXPh05hLus83ANrFwZ86aBSv6tcat+CQM+XE/3EEBCAgPRQAH24HhQQgMC8TrOTNjRvnSOJkcj3E3LyPEakWlTBkRGEKANqvBgVZagwJ0wE1AdgChmjsT4LB68V62LLAFkdzZLNsIoYnHOhzIFBmuW7RtNtx9EousGdMboLIu6YeFhSM+LpYzoVSQbVZ8QZi05DGKfAC0v2rCUjDn06jsilz58mPLymU+MYVYRGo12rTeBmUQJqWxlNqR0d9at3IL67bINABUrF4bVy6ex75fdvn4covv12vcDKdOHMP5c2d9AbZmwNHlHZJTe+QYDsh8JoDnA9n0vpy+LqNp6QvKezU8Mxlsy+9EA9QytpDYT88ag3ZvWc9kpOrv+4wJ6jgjKadlcTWVtgk/ANd3W83b7NM2+Uqx4sXRrFkztGjRAmfO6KwwuTx4+BAjR47E8ePHMXPmTB/fbN9r8I1OIV+/cbwmZ7t37y4+btcOV69ewaYN61G2dCklXg5jCnOjCKWNC6yVQhnDJKMTAcNeArRTDCA7iTHBKCtMY4fJlXwWrx/PwTYF3MRtgVq9eXUmo2W9D3D0xCmcPXVSs4Lb3A7UrVUDWzasQ0hwIJo1aoDDf7FI/ZrfNoNBBrc9PXq83k5S6x9eqkD616KOk4ZzS7ZoK//kCdbAiRfWbK8Hb7z3PoqWKmtK2xSWJc1Xm1ukyEP66cdtqFnzffTv2xtfzpiBPLlyMGBNLV+8AShgmy09LgccyYkYNmc5vh3cifnRkUp8sAXApmBbWLIZ2L4dE49AixWZAgLhTiHgW6TukgKV8SXdJ/ne6FZr3zQFWiMnS27RIAfQ2EkKyCYDJgubR5dK75AFaB1sn46JRd6IMBZ53QDCoVizyaRpsGRLgFscK8C1bs0m57Ji5a8HUb9yOYkiLo6VpH2lWerTp29gDnZ8rRrVqNVw64/bUbRoMeWz1atX46vZc3StoV9LNj9C9tdKA8jGCwBtcp5z91n+bNK2SQ5tW7osKN5qCNyJMXhy+wau/LoWJep+jIgMmeHyWGGn7gFWzU0gwGOVJkcru0YaXZ6cn0Uk93hZaqSuo6Zi06LZSHG5sG/nj3inem0EBAbT9mYlEUupxYx9l66Tf+QzHvXZZrUhd+48uH79OvLn5ak6xMjCQtYb71CyvDH/aF+QzazaRDElW+mUwtsDjQzuFW2JtSOuCdLzaPPchiwyOcsRChDKImfcyqelFG4b5n89B9169oLT6UKLVq3ZuUjiUtLSaKci10QiP4uWwiOR02dGV5UI426Sn57kgKbpaOTUcSy6s96XbQiw6blFfQQJk4HbR7CQJ3Xp+MrVaiA0LBy/7dyOgoWLGs4rnY9/2WxKMH6WZrGKWJaf06JNnsvF+3Eo2Hy4SmU0SLmKICUpYxNiHmPdV5PQb+rXmuJDtWZbYbd4MHXcOGot/pakcCQGNmcytv6wHXVrVEWoxU0n8iVrNmH9zr2Y3KUpimZLD09yEtxx8fAkJ7O4GyL+BhnvNcUqU5yywJOMoaQ/DpY2kYyZlFIbGABboBs2EgOD3CBnKQxtUgMNJyxC5bIlkCUbT3FIBBSrTh9n7CS15s6VGzdv3kBhMeaxpuv7LvkHYipI8+vUlvwsRkCTChAS4OG5RXKLOrjyKc6XmUXnP71bsqWaW7dytfdpX/h15480UKDel4Qy0PenmYVMimosihcICgnBm9Vq6/OD+Eih3urlUQKhQqc95R15x4lOYr/WZaHxk6ehXcumKFNqOTKkYyl+hJ9+r05t8c2K1Rgw61tM/7QTrDRlHKNpk0jgI1vVwvY/T6H72p8xv3lNOhewuZtkwGTpPiNsFvQrVRgNf/kD4XY7Vj29jyYZsyLUZuNyioUu5UdP2vJ5ZxK2xDzEhKJFYQ+ywx5og41bs08/iUGJHJlp+k9h0SbXRQOhZcqoPnjt5XqRN28e3LhxA4WLFTeMPRZFvas0BU2W9N/uaJMwJMzwffbS5ZgwFPTf0i9CvKNzJ48i9uljhEdlYMCWj1Gkv9EEGDxSNssMwOdb6TzKA2FTDndN0+dktmRzioXn1Cbb7NVY8OmYqYiLeQJHihNBQSR4F5MPaRYRr4XOC0SRsfPHH1CocBHtx7Uo3XwOEcMucRcrU7o0Nm3eigb16vLI00JGMzG9PqMQ15jnKaIvyM+e7mfdk09QfJxgE75yjCKgicOFCucZ1N3fd/2IStVrIzhYzf9tpsyT25+uhNRHXUmHot+bPiKza5LaJ3/12tiqr4tPfY9r3KQJypcvj4kTJyIhIQFvvPEGC4rs8VBw7XQ60blzZ7z77rtKUEEz4K6NYuLRGq7dbA7Y+dNP+OqrrzBl0kSUKF6cfVkEsdWMHHp6TIavdAo5qWRuZopmYnBhxpeU5GQcu3AVh85ewvGL1/AoOlbKvCSeBXsawUEBKJA7ByqWKoq3ShVBVFQkzXLgpXhFpBW209+vU7k8TSm7bft2FCuYHxaaRjMAXq8dVpsdndq1Rf169WhQShLIbcSYsZQVQqIFyG+AZejhYwHvR9oz89dFvFDa9UsH2vfjU2hwJ6IZkF+aJjgpdHE12vjTuzexcd409J08W/G7FgGGhBVbs/5oINuCB/fu4vSpkxSIjRg+HIULvqoAavbyWeoWi7CsUb9sRuWb9d0mtK5RERlDg2gObWrRJmm9TC3ZzEr9y817qJYji0+kb6UarDY+oM5Ewyq9Y76u90gZ7ugRw/W0WboWSgbJel166TqGlC3KtmnKDv9VAGtlH680tzavLAc2zxdrZUHQ1v32N7ZNG6RRxbUgaZKVXE/74RsYTVSWP5mtBwYH470qlbF95258NmAAy6FM/KCvXEFkZCTNGevrmm5OF5NBtFrNQbZX0rymtdx8moS4RBfHqRZ4Sa5vktqLtOmQdLCFRSF7uRr4c8kklPt4KEIjoxBoD9ABtpafk4A6q6SosSKAjHHkXCQvOpvmEUDSvXXrh5XzZ+HyudNo2a0PBexMA8+BIxkTBYgUkzrFlSzlVeUqVfDb3r3I37a1H6lFoCOJ4qqAa+FzzQG2EvRMuDlIJxVtW7Rhj8iLrrsgsAsU+dVZwhKaR5s2fV3wFWBb6za8r9gsDGz37tuX+rt+3KGDKkkJYYTmxRPTNEv/RS+JKymoEMSncZqgwiZAtp4eh6wbc4DKFyMmbvHrzwbX5gAoKDiYRl3e9/NOdO79qXJufyBbmUuNE6n6x6cY9zqesy/ceJyIRIcbN3YuRoEGn5icX58T2LjP8mxTMG23IvrRPXQcPA7ZsmZFSIAVIXYbXZIcv6S6kxLQt1c31Hq/Jtq2aAqbxwlrigN3blzDiTPn8FmH5rh15TL6TPgSb5d4FRtG9qDRTZ2xsQxgJyXRdI2UwSSANvFFp2CbjPteOJ1uxCanIN7hoEyUbGEhCKUBJUmqJT3dkY0qY9lcQdsCH4uJImt06w8xasFKzB3Sk+XOJoIBVSTxvPBeGwPcvPWQ1lSieDEaeZwAbfk9GHGnDAxI0frFM95NWgG22jwspsc+s0hjKu1JtH0qOw3HESuVV+jFzE5H/djfeqcK9u7eiY69PmV9QAJI7DgN2dB+LN8P69H6NaRLnxG3rqQegE6AblIePadFO4UHQiVGApZ7GQgOC8OAwUMxcvRYGsCHpjEkFHLObOjYqinGz5iDOWt+QM/Gteh+q5co74kS1YtabxSn19973c+Y3fg92BHEb1LMn8CDlBTcTErCuJJFEWGxY8rNqwi32lAhIgpvhKdDCHnSfI45Eh+LX54+oTFiRhcujLDQQNiDbbAF27lV244fj99EkzdLwEKU9kIWsFpx/2ksihfhsVmUF89q9mzZcP/+PQq0BY6il6ooBNmY6w8qCYW6Ty7FZ4BC+WPN9c54kDglN254uEGoSdtOOHn4L7xdvTb9WQqoOdCmsxFJWUgbKj+r1vbMFTTGe6Fzh2yh5/2agm4O2m2BgXA6nBg38BOMmTlXe06kDZN2HRAYhIqVq+KXXT+hR9/+2nOl5+DXQdMbieuyWGgE8gYNGuDdqpURFUkCAMqKdYvvAMOvl6Xdk2c573NbtInClqUdNcHF2nimg21ZicjAD08DZoq5/Q9KD+/dxaWzp9Gqax/1OD8MmufXJKa9GJ+s2GkGyvPkzYv58+fj3r17uHDhAmyk31ksaNu2LTJnzqydT5Zb4Qdkp1V/4vG4MXHCBDx8+ADr166hGQZYzB2eslW49xlSJjOGIgPXLA6WUw8G6nRg/7Ez+GbLz4iOS0CZArnxRqF8qFeuNrJEhvvSqLmMmJTiwoW7D3Dg7BV8t/1XxCYmofJrxdHovbeRP09OCrQJ8IY9EEH2AFR76w38uOtXDOregabYpHIoWXoDqIKbsHFmTZ+GP/78Cx3atkbrtu1Qv2FjilGpUYrI4JrMx3UL8pwrK4IMJcHxLwJtOd2F3EA1aodEF5cFKwJ8v504BF1GTuGRgWV6pogmy2iacjovAbh/3b2Tnv/DDz/Eu1XeYUHPuE8no+gJizbf5rRxooE7ff4yDp48h1XDuvI0LMwv2ysBbCpskaWwari9OHj3MSaULQGv0zy1lg62JdCngGtDHmfjw5TAttkYpA0I0niogRYTkH0iOgY5wkKQNTxEA9AigAmbKA2+2WKftK19h2iwJS22Rh+3WjF70250b1AddtLoZVq5KbiWfa05sKbbYknFJW35fs0a6N1vAM0DmSEj8wNbsHAhOnXurAJlU6qY13fAMY5I0lLeRb5DImNSwSaNUuW5u7E0wjzTIRCNJum4TNFEJmS3zYuwPEVRtttkeL1u7JneH7nLvYsClT+EOyCAWqqpNZsHRdEAN8W0XnjtTNGgCb0WkhaKCV+kFH+jAhWULB5yzby9kNfBLbUEpJJ1+ht8vKj0zjsYPXIE2rVtYxCljW1T+JPKVFc5wjhRZuk+qBRwS1Y6p8uJB4+j6bPIljEDbRteTSNnhcXD2o2XL+n5CRjxkkrug79touCh1kWuZZQs2xoQoaewYdbMGfhs0BDM+3oOuvfoKfUkaaqjFgSdJcIEdl04IXlQNUs3bxdaFj1tyXN3m2iSFXaeJiP6t1wb34BsyXnnvZoYN7gfYqOfIjJ9egns+AHZJueTP3uWXVL+1EGD8qS9L5zl6R4dMQ9ZW2Ciqf5MuHJQ+KfbJNegdTPHoHGn3siZI4cCskM4yI57/BB9enTGgE/7oWrFCrC6SboPFnDlp527KIXOk5yIjsMm4YvuzVE4SyTciXFwEXCdlARXEgHaKRRoC5CdlJiCQ7ce4I+b93H5aSyN6E+uK8xuRwSJdm6x4H5SMgVN5FrrvZoL7+XLicAgOzxBLupWRCzgTJEiWEB2lM2bHd+43Dhy+jzKli4Oi5MAdRatGR4yXrqpxl2OQl6yRHGsWrsOjZo00d6t0KbLxl3xlvRwR896l2kE2H7AtfbukPbC0xzzDem8kqSsWAtEe+cdiGNl3drN91WuVhNjBrG+QCKG07FNgxbMz04I5EJZxvq2bkUVxWazY8eqpShRoXLq98Kv9UmSk8bFIPJKWgpROJGmQcYwwZhxeyx4861K2LR+HX7esxc13quiBcVjgrYXw/p0R8f+w7H9z+OoXZ5QNvm46/HA6vHg/XLF4HK50Gf9r5jV6F3Yxd3y/nXw8lM6D1TKkw1ElK2QNSPuxyXh90ePMf3uddqWSSH9unREOnTLl4/mzCYWbAKy7cF26q9NgLYlwIZzD5+iVN5slEZO8jwzvqUVD6NjkCVjBvVBSRJMtmxZcffOXe1d0HuUkIYYH2l+eW3gND58jgfFlzSh99nPXyjRtW+r6ExTVjGFDVNSkzZWruI7uHLpAmKfPEJ4+owcaBPlOe+udFtvb4IVxZSwPGSoaMe+aghVbpHy/DKgLRTjXmTJmRuRGTNh/6+7Uend6vpnVCHFrNqjBvbD06dPkCFDBqYolvMHG4wLAUFBGD5iOIaPGIXZs2Yy+6ukZNes3Mqz9lNIsEciD2gp3VIvxOrHW4Bm0ZXIKlK78ANoxAAgmDxSc0mN2XNw7246L5Sv/K7yIkxBtmGOfilFa7/spdO2ru3nin4/YNvLc2KTajyltu5NA138GUibyjtuNzp0aI+aNWpg1PBhfIxmKVn1wLXcBcrAFNYyOUngmmzv/OMwZq76AeUK5cGIFrWQJ1MkdREUrEdvUiI8PvRENogFWywolSMDSufKjO61KsLptWDvqUuYunQNbj+ORtPqldC4eiWEhIUTrRNqvf06eo6biScP7iFDpsyw2Mg1cyaZUGRa7aj4xuvYuG4NvpjxJbp0+BiffzEdkRkyUUaJoK+wXszbgph7Unl+hAH7PDKS/cX8s1k5t/dH6uv8eq1GanAfqwq27YGB6DhsInLkzqtFEjenjnMuveQ/SbY3rF2DTJky4dN+fSnIpj6dElVcozNQjQur5MW7U5Ix4MvFWDSgA9O+EIBNNC8EYFPAzSjjDGQLS4VHs+gEWaxwe11sUPQHslOxqvoD2XJn8KF1SAOCPJFqFm2KY2X/bPaFJZeuYUz5EpxyZvC7lkG2ZrUWYNsIuOX9xKLNtgkQunDrAf46dxUD29T38dsWIMrcgp26NVuAsFo1a1CqzO5ffkXTpk0RExNLI2W//no5OiFpinMxqGjbBuAjLfWqK0JIB/l9z880T2vW7Dm175POExqYti5x9k4M3G4y6RBLshcPTv5KB5xsb9ahgNvCQTcFF1YrXus6Cbd/34y7508ga+EyHFh7JcAtBcYjNHJtvGb8MouFTXAXT59A3oJFkJzMIuISQYFQz5hQx4A1pYxzGjmxiJDJmPTFLFmz4dHjx1IrMysqtZUNuqKywZfRgnSLNvHF/u3QSSzduhtPYuMQaLcjS4ZIuF1u3H8aQ0+VPXMGNHqvIqq+UZrltCTPiFq0rQxQ2+S3xS3aXLjR1v2BbW7Z/mLqZIwYPQafT52CAZ8N1LVU/CghsJC/xK4ozsKEGCbwUGuGEJ4kcK0ELDQsFZBrIg/60sjVid7Y/8kfIlCRvvDHb7+gToNGGgzyB7KVbcMJUwPZZPz6/defUbBoUeTIkVPbT2IPEJ/OtCqdSAnN/ipVVN4/8jPgcSDfO3W1a9Lp4jqT6cJfv1EqZLbs2SmoNoJsD4ns3b0TPp8yGcULvgKb20mBtohOuuOXvcidNRP+OHQU60d1R6DbwaKFcx9qWpNStHr05n2sOHERT5JSUDZjelTJlAEf58oFYncWTCblnVktiHc7seX2PXQ+dxX9yhZFqeyZ2HHcVEOOIdZuoaAc2aIWes5dg42fF2BUN5sdFrcbFjsB2USRpAdGI8++cKGCOH3qtCT868+LKoMEMuACuj951Pjm0waw/bRBv2A8lSJdlA8uMgjTspDtTYXqLe6XAG3RF2rV432Bt2smKzFlo0zpZf3L95wkirmbyAhmt+D14tSBvciWvxCismTTgNqTRCeyhHMrchqiLLNxnI3FJECPMyUZLVu3wahxE/Bxq+aoXr0aYCPQSMjelEODuRNH4MP2vVD19VIICQrWgDZZErD9wZslkOx0YfzOPzGmTkX+btiD/v3eQ5TJkgGZokLhdrhpm8wRYEXjyFA0cudk1HEur5BCaOlUVrBbdaBNwbYdf959hDfz56DuEVa7XaKOW3Hz/mPkyprJ5N2zsTtD+ijcuHlb+0gft1SFhwDbygBqPKVxj2hHzyz+LczynEHHJPLk+diUnJCA7xbMxmcTZ3JArGtQGdAW1yWszBw0aUwKfm0mtGZdXSzANp+ruTxCv0nnRKB9n4F4dO8On8u55Z0DcdEX9v76Cz5q2Jh9n14it5obrNpk5a23KmLhgoW4ffcucmbPJnVAqRMar9frwa5f96FY4QLIlUMHfcR4ZQlU6dipKZ2kp4IdmzcgOTkJHzVtpe3zGi3bxofGx0FNKSW9R3/l4K+7UaJseURGkVgCejEF2amc6B9jb6lpK6QBfh2pgW2/0lkqIFv5IA1l0qSJqFmzBtq0aqUbVbSYIga6uIa1CI5K0TI5CVfcmOinGPjVMqQLCcT3Az9GeJCdYS3ic+1iMqKemli9SNWIqBv57DY73iuWF9VKvoIEpwdr9x1B/f7jUfedN9C18Qeo9WYphhd++x3N6tUGPEQhSK5fsIU8sNhInKMAhATYMXTwQBw6cgwdPm6L71evRVBoGDuMKtCYa6CGv3R9L92/f88veKVgYWTOzmQkL2/f5D5fejA0YtEW1mvyUwfXLsShLSvgIknINWFS980mgJpAhkWj+yNHnvz/j7u/gLOi+v/H8efN7U6apbtbQRALE0HAbrFbLLALEVtRwcBEsTswUJFS6e6OXXZZtm//H68TM+fMnbt7V31/vo/f/8DZuXdm7uSJ1/MVzxeka7nJ+mZh5DVY4BTWRwBLlixmwIvcqYycuyw2W0kfJBoD17bw+IE3v/wJpw7uhcKMFEHKxK3Y7MXLWDwldo57ykawq6IKLVOSjXUSe6gNw0g3ogglmsZM7ltPNRLEyyoJNzQgHaO6uEsjAeNfikvQKzcTuclJfAJVXMBpkjSqBVhzl3ElBkuxYnNLNi3dTCtUWRfATTPm4MVbL+EuHLSdabmVfbX4WzVfc8PWbFo2a9oM7du1w8KFnLRrxksv4aqrro4CyurcoH43wLaaW9xmuXLZX3j39Vm459YbNMt3Y9zH1+6pMIjxgsEQ9vz8HvYu+AT+mlqW3o3lU1eWBKibDxuD1FZdsOD5O1C2b5fBNs4J0MIIBCMIkhsrEekQw7hI5SU/E/hZ//cS9D/2JKxcshAHDxwwUsapQN0gUdE8APjnjPQMlJeXKwogY8ozUntxd08L8ZkgPaM+ZC6D+Gr+Qpx4zT34fdlqPDjxbHw+7Q58+MitePHWy/DS7RPx6dRJ+Ozx2zHp3NOwYuNWjL75Qdw2/RXsP1hs9EmmGGMKME6mppKmxSJD09dJxvIwHn7gfgbipky+m2cMt0nxoLJPGiQZxnqVnVwfy9Q0XaZnjkmwYeTTVsNmlMwLeq7KKN2TSbpDWu2mTdG6bTssW7pIkMDUQ2Clqk5kaIk1HZjlN/J6Vi37E2+/PhOTb75ea9+NIURbv48D7cIBpzDXrp0/voPdv36MsF/E9ClhRRJkkxdTUmISzrzkanidCvmZ4eEE3H/X7bjlppvQpX1blj+T0oUQsymRrVA89g9/LEXLghw8feU4ePw+BCs5SzivRGxGtRq/rduBiZ/Ox6drt2Ni+zZ4qncPnNu0Gdo4EhCpCqDuiA8+qhW8+iv98FX64K/yI8EPnN20KR7u0QXPL9+A5XtKECQrZ52SDlJ8pjSRBSkJ6N++Fb6Yv5in+pIkgJLgz5IKz+vxICcnB3v3UHohGWogyMI04VB+j36n/xZkR7VFS3sx9qmv2v3WoghSCZDkdUSdQ25XmPaNvrBkkTH3Rp1bI1NSnkrUNuDaB542r0d5btvWLMdPc9/EW4/eoc3hlOYr3lJFfC8KEdZLzzzJyPuqa2qRlJzCYmvXrV/PBTuhhCZFI4XLJCQl49Lxp+Otr35iFhk2z7rJouyBw+OF0+PFmME94HK78MmqrXAleFgl3oC/DpRiUPMCuBM8cCd64EnywJ2kLJOpusVSr+4kch33wiXqWys24ZKhveH08PMzZRGTA1woq6hiYDpKeS6eGHFleEmRann38g1rLVW6j8cIv5Mr9VC8eP4Zh7c1dKjXIuUwuoUuPXuztEHEWM3HSDP1omQplvOGni7IZCQ3gJySIkzte5qiloUsqVlm+P0lJiVj28b1WLZ0oUIsyffJb8L7wp+LFxr7292rCey5kuCoo4/GsmXLlaupH0YuXbYCM954C1ffNllXohGzdJylNsBD6/j1RfD6C0/hgzdmMrCtvQmj/9tSHJrPzzJf2nnc0HlW/bUYfQYfZbuvFWRbSdmMc2kfLOcQf6LBLv+rG3jslUb2v9W/azVS377yzNEPTRvrleew8I8F2L17twmyVeJZFnttw3klvIQZwKZ5mM3FtVi9fiPG3TUd5x7TD49dcCpSnODhWrWKwruGKicTZbWqxqj+Kvpei2CV3CZqdQ1CVGtqkBQJ4aLhffHlA9cg2eXAaTc9gF279qB9y6b4fckyHhJMbZMpAUSqMXntYbkMol/vnrjttttwx6RbuQLTkv1Fw3airFr2F+a8MRMP3n6j9ngbQ4gWN9CmBrz3CAFtabx04Ohzr8Pgsy6FNzFJGWBMYZLqxr8XoaB5SwGwhRDLjKAWIVRop61MvB/MeQcBvx/HHXusIlyHbfPvqizHR44cwQfzFuDyUUNFHIHcJqzXBvmNGW8ttS3bjlShdVqyacFWRn3ZcO16oy78aO3dFmTzpTJoS4FKegVI67VN5SDbgZAjgg937MEFHYsMkC1jCh2sCmDN3MFVa7d0EZdEPyYQN+KyxWcCyVc/9zbuv3QcCvNyFRAuYg8t7OS6FTs+azYTOBwODBo4EIuXLsWRigrGkn3cCSdoruKsLYpRzg5LR8XHW0A61XYdOyE1LR2njztb2z9eoM2I0PaWI0Rs84xIKYKmwy9A4VHjAIeHgWteQ0Ze9SAD0hS/50DHsTfgz9lTcaTkIAPZAbGNLSnGj8X5WWuExaRWlpehfY++aNa2I958bhqL+WbVYLS3so7rgLtHz55YuWpVVNvVpRPR1g0XV2JuCZsgOxxEwF+HO555FfMWL2fgesrFY9A8J8PofwaAFpwJRQU5uPXsU/DV9Lsw5pgBuH7qS7jx8Rk4wAA39zLhKcLEb42wkNjM48Y6xaOF6qRbbkaboiLcdMP17FiqgGSAbAmOFT4IAygLrxpzXx2EayzigkdCEjdaq8kwzoUIqxLRKuyZgpsDvfsNxMq/l9qCn2jAbQLrqLFIfLADQh06dUZaejrGTDhHWx9vii/qC5sOVLLPWz99ml1D0UmXoNXIc+DyJmgAiyk2BMP77nUrkeB1sxROnPxM5MhmKbwc+PbzT5GXk4ORxwyFKxwUQJsmeZ4+5NZHnkFNnQ+3jj2epQgJVVchWEWpuDjQJoC9e98h3PTFb/hx825M7t4ZN7dri+yAg4NqBVj7KvzK0m+AbQLageoA/NUBpASdeLBLFzy3YgPWHTjEAbbPj6CoBLLDPooD9+GGU4dixiffMxJOGcsWxbBvgO0Izho7Bp988okOqo33pYBKZTsHk5bZxvEPQLZsG7IdxgDd8lf1/7MXgo02GANsR623tm3A7AvGep312Xrv6jb9XhxY+9cf2Ljyr6i23LRNBySlpmHIyWO1a4yXeZz6QlUdAW1TsXn97XfhiutuQGJSEls/6tTT8PkXXwh3Y8FZwRTUfK4965QT8cmPvzM3YRaPKAA3A70eDqofmnACfli/DYt27WdW5z01dThc60O/FgVwJXKgLcG1WwLqJA6yvSm8SuDtTqJqgu1fdh1Ax8Ic5GenG27jUg6oqPUhjQwQUpFuzOVSYQ74/X4keL1RALM+y2FMsK0CFdXRKq530fB+ajuRMthtD0xDSloaVzhblKMqwJbtTwXberuzUzSY9yurmRlEAdQAOvfsg8/nvBW1P23v028glv+1NFr+MZ6RTgJLpW+fPvh72TIOvI2XEfuldOnYHhlpaThv3GjF0hR/nDZdgySYlePVVbfchQuuvB5JSclR7cHQ19Tztqxzl90t7N25HeVlpejed0C03N0AyNa+1393FrAbDZw15URUWKn9b6K+W9p8pD6QbUX0RruzKFQBlJcfxsMPP4wnn5hmGFKMUEEtjZdkGldcxQXY5iC7Dt/8thiTX34Pb026CEPaN0fYR3wotQhTyBYZnZhXWR0CNT4Equt4lUBarQyA17HUmTyFpqg1BLQJtNewEDHiXrlweB+8dfulePurH5lMtnDFGga0WXoxaW0X+b1NsM2VByQ3jhx+DFq3aoW578+JMoJYn5VD4IW09AycetbZ/3ugTUm6yQJnTF5woNNRx6H7sadpE6xhpRVCLQkbx515jpLuRiE7k1ZvS8oE1fpEabyo9O/XV7dmR2zAttDCkND+zte/4PJTjoGLhjADZAtrtsYya7ZmmbN6f3UtChITo1wcFGlB01hqArOdQBxDE6eBbMXqU68lW1izuUXbgfd37MGZRc2R5KUJ0QTSpSQIMiIfqzWbf1at2cyibY3LNsC2G09+PA8j+nTFoB6djElX5tU0lhJw2+TTjseaLdcPHDgAq1evxvTp03ENxdoyy3j9TOP65Fy/NZtKSkoapr04E6eMPstYTb+JF1wcrvajooZiNcMMaIeCEaS3H4ysLsMVgB1CKGBatAMBDqYpLMGVnofeV09jeVU3/vI5TwUmcmdLsB2QVmxp1Q5HsEkIh0Vde6FVp+7IyitADZE9qSBbnbCtVaSSWLt2rY0EYDUhKGRoCvEZgewgkY7d8xT6dmiDZ268mBFamZZo3v/M/sar9DQhUD2oS1vMffgWnHfCUFx879P48Pv5CrGGCdA5ODFzbkeB7VhgPBLClVdchuHHHIPLL7sUe3fvQigYMBR8MnezOQYplgolr7NJ7Gj2Td0SrgJ1dVzTxzgt+4LNuMBBt0xfYqaT6d2vPzasXYPamipd42oF2HZCSEywpBmgWMrEZ15+FaePJSWRuZ6UO/GU8pqASQwiXK/yegxjRID8hKbwYoz9TgdWL/iBsUm7LanVZOz2e2/Pxt133Q5nJASnyN1JQJsm2p9/X4i1W7axw/drVcDSghDQDlRRGq4a+Cur8ffWPbjtu0W4sG0L3NCuCMm+MOoITB/xMQs2febVj7pKH+oq/Xw7LcmiXRWAT4DsQE0QgZoAEoIRPNi1E6b+uRbF5ZUI1glrNi0JaPspm4UfiU5gwrB+eOurn802zcKazBzxUrihOnLEcHz33XcIBgKacG+2ERuwbRVOrcA2BsguKS5m54m1XQW5smjAtt5qsbRbrikK/EZtswi64gJp0atff2xctwY1NVVR++jPRH1WOj8C25fG/7QMbFu7Mkqapti/iQ89i0EnnWGKpw6gsi4+garOH4Bfcm6IOeW4UafhtDHjDW+jQYOH4K8//+KuxoYimgNtsmx7EhJxVL+e+HP9Ng6yyZrsMq3aVD0JXrx4yWl4+qe/4HM6sOwAhQMBfVsVciu3CrYJYBtgWgHeBgj3wpPkhSvJi4M+P974az1uGzUETmEpNy3aLnz1xzIM79+L82so8zwHbrwRrF6zFi1aKlktYhTNQy0W2LZyqVhBt53lTwU75smiCl3aoUO8L8i2R/3O43Hjpy8+xsIfv9WUoyao1o1DMcG2pmwyH4R5/TI1ly7byM8FTZujRVFbxbovn00EPcW8UC3SAkY/W/M4sqSmpTJPtqhOH6NQysQ3X3wKZ48+TT8QjWdxFJbu1pIV4NhRp+LkM3lea/XJRI83+sWZz9JOtaeX1cv+ZMuuvfrG3NceVCt/60f8xuOwU3TAxvvS+jvzY/yWbe30MfatF2SLdaWHDuHSSy7BI488jPS0VMHBE2IEhhTiYqbyMhnFNaAtLNrw+/Dl/IV4/4cFmHPHJcghV3FfLSMfZQSkdZwfJWixageqY4DsKrFNVA64CajXMot2uJbAOx2fAHctsrxOPHfVeAzr0RGrN+9A5eEy4dLOrdlSwW2EFgsyNx6mE2GEy3M/eN9M36cqii2PMyU1DY89PxOjFLxApTHZWeIG2kdqaUDSBUGtc1jAIn0+tHcXsnLykNukqZbT1mrF1fPimRMlAeFDhw6hY8eOyM7MEFY2JX7UsL5J91YOnmn56/K1OKFfV5PASVgP1ByvsidIYCJHNXugrLKAWwRZTUlg3ttXdaV4vHIXDoeDpoDucMBDlVwkRSy6aekXVQBpBpzdsvJYQFYZSHZgT10dVh4uxymtm3JrtbBibzlSiWu/+QO3f78oKi7bsGgr1mwZf2UAZgNsu7Fg7Vas37UPl59+nLBaq1ZsvpSW7b/XbsYZE2/D8nWbdE23IVDUb82m5YABA3kM0m+/RVmz+euxiYmP1KMVtyGlizUxk8t2PKWkwsdBtnAdZ2BbfDeqBNmUU9XPa0Cp4YgLYXciqsvL8NsLd7NcukZebZF3m9x3mcVbWLvJtbFJ63ZITMtgwHrclTdjy9rVjHzHdB235GK3WPObN2+OvXtFDF2sEdzQYJv9xnQhD+Ppdz7FcQO6Y9yxg0zmcRGzzUiitFAOPsg98uanGHH9g9ix74AxCPbr2BqfT7sdazbvwCX3PsVd2oUbORS3cumxYg+21VASlbAthPFnnYkRxxyDo4YMxhWXXmxxDRfugIbyz3QNlNtUN3L5XaaMVzMqRKcyBNavWoHrLpqADWtWamDdzM1qrUKYE+MOfe/dbwDrC2tXLrcA84bzimreMZrW1qLlj1FD8faFStOttmDw6QaYMQUjc3ykL7K/5TRpwRh2VZc4Po8APl8di91OIGAhNe2KIufFOZ+jRW4WOrUoRLrXza3KDPBS9WHD3hI8tXA1pg3ogdbuJAaWZa2rCaCuNoDa2iBq6kIsprbaF2LKgupgGNWBEGoCYdT6Q6jzheDzBeGvCyJQF0SwLojUsAs3d2yPhxev4UBbWLb5UjCa+wM4++hemPvTQgRqawVZjLRsB/HIk89jxKljWao9ardetxPnnXM2XprxoqawVXP4ahZcy3s0FDjWecuikNm0fj0uv+A83HTtldEKGCvoNsIVdBfY+ooJZhUhmsITVizHBRPGYc1KDm4NsG0F4Mo16JYmAtpKX7Ces5Glaeu28CYIb4tY0pVSagLxAe1de/ZFzUnqHCRjxE0Fvrxh/eTdOrTF5h27lRx4knBUpOJ0uZCSnIjzh/TA+3+tx4q9xWifl4ms1GTGjM8rxVa7+ZII/rxKZS7nirt4khcBlxN3fLcIT44/DqlpycwbxUkeKQzcJyDocOHtb3/FRWNGcWZfqkRgKSopCY5UVuGPhQsxYuRIJcUpn4M0zypFGf7C9Mdx9mknMmWoOoezj+JPTNxsh0KU4ojxgf5u3rgeN112AabcdI1GhkXLU8adh+8+/cDoW5pyKEpZZEIaU0GmKpx0pdL2dasw9fqLsG39GluQqZZjTz4j6mbUvrB6FXcFj1KKadfKH9DcuXMxZvSZSqpOQXyl+uiLh2qQ1NkUUrTHU+KRpezwrDkG6M8t6kaVVeq8t37F32jdrgPSM/T47P9XxU5RpLdrs70/9uijOP64kdi5i/eF+GZgzU5lUUjoc8GG9etw4QXn46EHH0S/3r24sjccwrq1azHh/ItxxTXXW0imZVifAK4yNXLAh7/WrMfsr+fj5evOgZcyJPiJbFSGU5nzscqRErTU5Tv245L3f8DKHfst2/jv+HzOPcbYcUV6TppfOd+WH5efdDR7TmRY5fIBDws25Fb1SSoPaseuXejQoaMxNlk5eNR3Z/teG2GYaxTQrqjj8RZqNYQq44XrJGjfvjOTpapRrdnSKqQKmdExZ/z4GzeuZwNK9+7d7C1t2johYIdCLHcbxQqlMqp6vm3drv0Ycf9MPPvdIuNpaoBbusYIywtnd1auSmnMhhbdUDxEW6ZJKC8Jc5czH0KC4E0SvSlkbxrYlhY3DqQ5yY4Ktk3QTSd6au0mTOrdWVisJXO4CxnEJup0olU25aHjQNgA3JaYbR6fLRnKpbWaT6SHKmrw8Dtf4LmbLlEYyFVQbrq8kTDw/YIlcHvcmLdgiY0129GgNZuWnTp3Yvc/eMgQto4YCk3hxarxjgbWqrYxCmQbApDZm1TtIIHZeEpxRR0H08KazcG1WCqAOyiBdoCDaxVw+6kGgRYjzkabUZegxhdAeUmxANvce4QAN30mSzdZt/du24Rm7TsbruJ0tW+/MI3FPKlu43RPnFTNmtM4giZNm2Ht2nUYOnw4pj/9rPIQlAciv6v9inEZhLFl5x7G4n/RqGOU9F6mgkuCbDWMgz5v23uQXQ8R3HF3cj6IUyzufZedhYmjj8f426di/Zbt4vcifYQgXrMF2wYzpgDYQjsrQTfVk048Hi1btMCKFSuwf99eM+baGItk/J0Sj22xZqt8ErZW6ii+CQf+mP8jY+Zf9OsvUZYQCYRVJaN1Gy3bd+wEj8eDLRs2cFDN2NB1cF0foHbGcu+No42HrMygMUppFQfaYSLJoXdgDJfKdSqCrBxljz7jHLTu1N1g0acir2/r5s3o0LGD2QalN0XQj41btyMvIxVb9xxAt1ZNmMu2tCjT5F5cVokH5v+Nh/t3R1IQzBJN7t+BKj981X74aoKoqw2iti6IGkonUlODO4u34sOKEka4QiCb2HIpjMTnJ5AdYiCbA+0QA9tF3kQUpSTj+y172HcNZDOCzQA8iGD04F6YO+83g5GVCSvhILbu2MX6EhHIsHYaCeOCc8/GksWLsX7tGl1xosVqW623NgoWG4Atn2tGZiZcLieKitpYlOTy+cvv/CDxKGSi5m3xRw1l+PnHeXB7XJj/y0/Gdu2E6rVY71Hs1K59R9YXtm7cIPaUYVyNL8Ts3HvoSOWc+rmsJd6cqXv271cskwpZqmUOkmdlH6034XCgfVFLbNyxW7wHM3WmkQJREJeOGdAV36zegnUHStGlMFfM7RJgK4DbyysH2txSrYJteN24+/tFGN2nI65673s89/NfbJuDXMA9HGy/Pe8PjDtpOCMQYiBbWOANpbvDidfefBuXXXY5+yytteqcxOcl3TV2147tbL+KiiN8XSPAtga4tWdo/35UvE0pQylbRcvWRcY2qbzMzMzExFvussRcK+3cjiNAsYobXApW5RgcWPHHfJbnd+WiX41+Euuan3/0Ppvrdxh9YfOG9WwdI3GyiFiGSoE+EJHgHwtx9NFDFAW6OserQkIDJQaRoLVQ+Ft9xVQIRDN+RyszGjiSJJAknoVN69GuM+GFf1e2bFyPc04+Fq+98My/PpZs0+YXe7C9fTvvC8zgEGeIhKo8MiF29Pzx/Xff4q677sLsN95Aj25dhEcVD2HKSE9lWRXatm5pEErLVF48g5OIzxZu43v3H8TdL7+PV244Dx6EGMiWoVMMEEuAbAXbNTrQnr9lNyOe/ZXmUWU9ZQmh3xrKczm/SrDNwD6/rk5Nc1jq2xkff4cQpW02DDMq2JbNxPS++XPpUvSjXOVKZhkDbKueBvU8eT8RTMZZ4mYdr/AFlAnV4oyhavrEgEKCROXhUhR17KLESJox2jpBERdUyTXs2SceY4yKyUlJOPX0M1BdVYWOHToIgiaphTOtbIxbWVg9ImK5dttO9GzXUgEJEVTW+Ng59pdXigZuafFKaZKShE1lFRiYna2zfIvWa7pxR5hATjfAxy8Jznl+4ytTm6IqEkIGEYlYBmbpXq8BdMYEKtzCmeVasWJLq7YAzG9t34Wjm+ShRXqKFptNk22TpFTMPe8kPsmqubIFII8iPxPu3wb5mcsFEi2ufuYtTL/2fKSlpVhcxC1L4fp2y+Xn45clyzF88IB/ZM2m79u2bUdqairLiXzHpEl44/XXkJOby9rC3ffcx4hCJFiW7nn8DepxSVEu5YoAJN+4tTPJeGc1T7xdKT5SyxnH2UsVAxtrI4I5lLUV3gZMTaMDzpCMryfysjATeol53JPTApVl+7Hu/WnoeNwEtBk4Aod2bsLKT2Zi98pF8CQk4aw7HsfBnVvRse9g5kbuItcshwPHnHoWvp77Ls666HLuruWULmmCKVWzbDtYPO6RiiNwOpzYf2C/eVPiIUkNuCoZsX4VDsPv8+Hm6TPx7C2XmqBaWrEZ6DX3NWJQxQN46YZzUVZZi/ysdGaxpnYTcZH2nGjEIxjYuQ3evPd6XPrIi7jnirMxpFc3diX03LS0QUYPE5/ZzwmEkiZT2c5+EEHzJgVYsugPbN22AxMvvxxPPvUUOnbqLPJmk8ihHc1oN3Kb3cBrpHNR2pK1XHb19Vj8x+8YdNRQ1rftigY6xBoVg1D/bd2mLUs789CUOzDnrTdY2rtRp56OSZPvRVJysuVX4rfKV3ULv06RWsT+krSd40lfcUgAbX/lIZRvXY68HkdrbsaGUtI4Lu+nm1f8iT3rl+OciURIqF6hA2WlpcjJzjGEwdVr1+OhaU/ix98XsSd/6zmn4avfl2Jox0HMXdvIj+3zY8bi1biuWwdkwAVfrQ+BWnL9DsBfE2RhG34K4aBlhFtdykkzTvcRDDBrtvSyIiWoN0QcGGGEwy6tvdH4fF7z5rht1Vr0L8xDPo3LBGq8biYIODwBhD1+Fks25rHXMXbkUUjyeAUDuQezHr8HZZV1yCtsypVVlLrP5cQzTz2JiVdfg48/+VR57pzdmNJE8XzT8mFGM2rrL113G6TStGlTfP7tDzbtTgfZ1r4Wl2aGdhNjrKVJ49obbsSC337FUUOHWVuqYm0wXj9/7eI2ZVslBW6rIuoLmzH13jvx4TuzkZWdi2NHnYarb5/Mxki7w8a6/JkP3YE7n39LyDGqskfvzw4hUJESlsIb6ittO3bG7sqgnrHAxnPK4/XA5/cj2euyvc4WTQqx9+AhRbAy58o1Ow/gkTnf4OdVm5Dk9eDio3pixs9/Ydiw5mxelw+Mj3+UapLGYUqlyNezOYnNQVzJHnI4cdOXv+HkHu3QKj8Lrr834GBlDZwMaCewumLbXnw6fwk+mzGV54an1DmCJJURuTld+HH+b/h9wUJcd8PNwqvKIZS/psXIcJVWQMQjT7+AI4cPIzcvT2877D6UNxfVsPSXFLVJrtDxjbG6oElTvPPZt6xvSXZvU34F0jMy8dHsmRhz0UTDy5GdR2QCMC2HPM2XgfYkVb5yUtVafupFE7H+z0XoPnCIIg/q4z79oVhjluLUelsO0RdoXti8CQ9MvhPvvvk6cnK4jDT53vuQlpIijs2v+8MPP8SIEcO54kDRenDLtgJGGrBm8124Up0ZWeop8XoH6rOvchrjkYrnKduMstPW9Wvx6jOPY+nv8xkHwj1PzsDOrVvQb8gwe2t5PRehKgupEO4gg0/xQUVG+hfFThfEmjTdl/A8eGHGSzhcVoa8/Hxzm40uzu4GrGO9+v3rr77Cp59+wmKSeZ5sE2ST/Na8MB8/ffGBbfYmniPbBNmHyw7j8kdewrNXjUdGgou7ihsgmyub1SVXPAdZdieDG4tqJIIL2rfCn+mpGNAklwFsmQUhLMYmabxRQ3g5SbQTYaZwdLB0je2a5cPtduGyh57HJ/OXIC8rA2eeMJzlo0/2yGwRpiaKjvbtd9/h/ocfNbGERRGo2p7s3yf/TTx4oXFAu84+NsMccPQBhTrsjdNe1jR7dpZf6XJO8QHXXHoBu8Ebbr4V83+ah/ffexd1dXXoRNYNqYlTp66oIFT+Ush61qZJvkliFolgQPvm+Ojmc5BG4MZP1nnJ7O3UKgk8xzTPx7sbd2Bcq2ZIYMA2whqATOnFzyUHGiNHAxvEqFJqDzo3CWuJxn66Ip/FYmtx2bTO4iLu0b9z67YD80sOYX9dHS7v3k6sExZtw61cib225sUWn42UNEzrIYnPOMgmEDT51Y8xYeRgdG9fZIJqYbk23ccVIjSHE4mJSThpxFBDC2+6j8vPJqC2s2bTtPDAgw+i/4ABWLxoMVauXIGrr72Wgdo3X3+Ndap7H3pEE1qiPlu0hVawqa1X3USENotiU110X/WU4vI6li6FT4o81Qd7/xJgS9CtCq1K/L2TEfA5EGaAm5PxudML0HviNOxb9CUOHz6MX5+axH7be/Sl2LtqET57+h5UHS5FdvM2WmzIoFGjGQlE6aFS5OXlMgBucCQoxGg8RRW/36ysLMx65SVkpxPpC6lUZD9RFFgqYBYW67uffQOXnjYSrSm9C8VbM/ciGcMtgbcM0VC1iQ6WsCs/LYkP3iLunv2VubMjERRkpuKDh2/GhQ++gBt8ARw7qI82OJrDGX+uZpCHIF1RU38Zn/n2tm1a4a3Zs3Hp5Zdj8uQp6D9woCHQG8oxC7g225QUxa2kJqY7tCxyv8SkRAw/juKU63e7VZWV1jGCStv2HbDszyVYs2olLr3yGvZcSbCiWMLJDzyiH8N6bOsGO4mmnkKTCCnx6iuHKn3sPMHqCnhSs+KRCljJKmiKFT9/ZWiSuZcGWdKBlq1bYd43X7L9KI3d2Vdcy9rVHRMvwKvvf4qXPvmexUh3bJrH2p2cwIOBIDaWHsGNndoxCzYL6wjQep4ZgHEkhMLwhTmzf4DSzjkScUlCE3gjTtSEGD0VF2bDDgScvAYdYYSk2zvLreuA1+HAte3a4NGlqzB9RH9GVuX0BBDyBOB0+xH2uBnZ2yXHDcYLc7/GbZeMF0pMN0tbQunveP/h2RoIrBTm52L4sGH4+KMPMXb8BENQdlrANhfAGjT1xP2qVZAdtd7SLusrig7AXEexz4mJOO6EE7V4VBVYWwUa2bsjlpzLRe3bY/mfS7B+9Uqcf8XVTFn58TtvMBbu6+5+gMshanovBSDJaVo+NrJmhoJB7r2lKMG1S1GEfbJqZzQAtNesXoMqZyJatS4y0sUwhaccXsXxMzOycKT8CJLzlXzUSiE5QH8g/Oootdf5T8xmY8Ctpw3FvJWbMWfJGtT4AyjKzeKW7rCTjf801rP84pQjVoIqReYh2SDocODmz3/FmD4dcUrfTsyK/dHtrZGTkwVHQjIcCUlYs/sgpsx8H+8+eR88yamAOxEREl7dCYi4PIi4vPjg0y/x+Vff4o033wRlTuacIjSXmtwhTAks5lwVg5F1N1uCbKloaUy7tVHCUjFOIXGvNUe7PI8xJgqFi3jfeYVNsOiXeRh70UQhzwo5V+ZrV/RD8jq0EBi1PyhgOiEhCX2GHmtknjBAnvTuFFZ1Il+6/KbbTYJgi6dH23bmvHD5VdeyNvHWG6+xeeHhRx419i0+cABvv/02Pvt4rhmGo1m15dOyzGJRLuVKoXHLyZnlYxWrd6Dh0RQf/jZ+E7GAbVnIa/Xuay5hbfvCa27E4l9/xtS7bsbh0hK0akfeUPZtKMozSHH/VwE3cUK89M5HyGAhq3FOmKrdTo4d2jhn5u+SbUMF2wQW8/LzFClCXJTNM7Obyu1A9saNG/Hqq6/iww/eh9fjVgyVgvjMwjhuxDMzzhyRJ5uq34eaykpc/ODzuP+CU9EuP0OAbHLxVizZMozKLzy9KAtDMMSA9q7yKvx98BCWFZehpM6HRJcL2Yle7C6vxultmyPF60EkRLhHtDtlvIq4nIgI8C2Jq+VT6NC8EH+s3YLV237HDeecwUD4zA8+hzshEY/fe5eBVQiDUO9dsWo10tMzmHcneYoa4DrGu4zGEXo7bwgvNBJoR7uMqI3VqhOa9/4baNulG3oPOtq03qqkQxrxmQMvPDMde3btYlaLLp07YeSxI3DCyGP5g2zfTmgO7cC1ChB43b7vIAZ2IpcgNR47gsyUJKZ9kRdtkoupOaYdbOI+u30rzN2xFxcWtWTglcAQA9sCZNOCTYcMWAEOAl4EtkIRuOQEK4Gd1vvE6SXQlhZsoaGxjckWlmz6vKGqCl/t2Y+nju7NrlPGZZvu45aYbLGPlurLiMuW8diC8ERYrd/7eSlLczH+uKOi47JVIjQL+Vk0sLaykHM38ihrtlg3/9df0bJlK3Zfzz37LIvXfuiRqWzfvPwCTH3kIZw5bgK6duuuAWU15kt11zNRtNljrNYF/hvTYknkYw2lxjtYXstitHkfECBNtimmNbYD2iQkC6AdIpBN7zzC8/cSezmBbbcThUedieXvT0dl8R6MuOMltOreH22HnIAPbh7LDpPRtDXqKPWS4UXiQl1VNV665yY8OvNduB0JvE9pbnsmyJbjU2ZGpvAGEZdnSIPKQCy01wRyflmyDMFQCKOH9efaTYXcibuQK6Rptq5oHKDIdsDnHbNPE+Cmz6kJHrxz3/U4975nkZyUgEG9uhkTodaDmCBNuYlF/usogC2t3fQ++K8L8rLx3jtv4bIrrsTZZ5+D0WeeKcR6kRdVKAi5Os9hQ9qjeglEuxeZgptlYm4AE6ltxATa/FNR23b48btv0Lf/ANz78GMsJCQ/vwDTH3sYY6gvdO8RfZyGTqQbXGIWapMNpdI+VMXDY1Kad0Bai7ZxiySZeQVo172P4V7KCP0EkVSTZi2wZ88eNiZMe/o57Ny9F399+xG6tszD9h078PaXP7JjtCuknNa8jdJkTqm3euZkIkLcCQFeTa4EQUYYihhAuzoUwupgNdYEq1HLIAJXCBU6EjDEk8E8kRjQlnlyFQsV3We71ES0SkrGF5t24szu7RAii7bXb7jrhv1ujB3cHWOmvo7zTy5maaocQSKYChhut44wWQUpn3yIAe5rrp6I0WPH49TTTkdCIllpeY53FWxza2UDL7CRINwuFVEj5Muo30Vsrdw2qFpdpwil0pKt5g4vatMOv3z/LYtRnXTfI6yDZ+fl46UnHsWJZ4xDuy7dDMHWADFRIJ73rTMuugqhUIApPYwtQmkqLSjq/VDO1IxEyrgeuxw+UoGSqmLmjmwV3EyFLnfhLzt8GE3y7IG2VeEhr2Ha3O+ws6QMi6bdiI75mRjdtxMGTnmZbd5ZViHitzlIZ2BbWGB5lB1XANPkQPvVhcO47fPfcKYCsl2JCchJTIYzMRmOxCRsPFCGO196D+9OvxfZufmAh0B2IuD2IiKA9stvvI1Va9Zi1muvM6VFgAB2hANtU3nG00+qXmfq+7AOkP8EZMvj6ABaABYbsC2VMOKNG9KrzL9O4+yAocNRWXkEyanpWl52fm7pCcGXMue9tMSq92H0Lavnp4WpXHp3lpeW4Ku5b+PyG26zuKCbIYs0L/z0PZ8X7n/kUbhdLhQWcBlpwoQJ6NWzJ1MaTp48GY8+/CA8RGqnpBaMis22G0tijC8U9uVw1w+0CcBY36ei54i7GEBV9E/52zdnPI39e3Yx3oCidh0x8pTROPf4o9i2Vm0ILzQOZBteV0rfo36qhQw0qvC2EetWHXZgW9tBPY650m4EjQWyKfPSLTffjNdfe42lkTRwkhFmZwHZ0l3ccBk3LdnBulpc/siLuO704ejTqhBhnwKy67irt+EuboRSEXFuAIv2lODdjduRk+BFv+xMXNq6FQqSEuEPh3E44MfKIxW4/pc/MagwF+d2KkJairBCS4xGeCbkgpMRWMvrN2NF2zXLwxeLVqBPxzaYdssVcCWnoLCgEPc9OxNnnzUGPXv1NuZbksGfmD4dDzz0KDNyGZ42mmHFVHWYz1oNNzZfAinuExsSkhpFhiYs2lFcf8pgoRaKJ23epoPh9WSQu0TllaWUED68/PwzuPK6G9CpUydO3LJxI3r16sWORaQ4VmCtggFLICrKK6uRnUp5sJWHpLZI1Q1cxDuZlmEOTEe2KsS6IxVYUnZYA70uFvdES9K8uJSlC26PU6set5OBJ4+b544lhl2qLlnlMYX12qVVfkx2fLoujxO76mrxwsateHhgD2Yt4RZvS5y1EqsdZck20nop+1rIzxZt2M4a7UNXTDDX27mMixzarGpxZILARYkrY4JkFAAXw5d4D6FQiHWASbffjr179iIYDOKxaU9wbRa5sV9/I9q0bYvnnnpCA9ly5NWBdwNVA9w682M8cdoHy2p5Dm0Wj81dYsjqTsK+QYZG360EaYyJnMdsm+RoQfip+oLw+UKoqa7FviXfodngU7Htj29R7QvAm9MMrfoOY+cOErCWhGnCQpecmYOjTh6NuW+8jIBIBSaFHDUGRXaRtPQ0VFTylEzGjaukZ4oVmz7X1tZi6msf4P4rxpts4EbqLjUPtskybrCOKym+THIzk1WcYrBlOi8G0kMhJHvceOve63D/y+9hx+69CqO5yX5uVl0zG51nW/0cRkZaKua88zZ+/fUXvPD8c9pYJGOxTWI0PXbbPiZbZxS337f+Kj1b7PJ3H9jH+8IDj01jYwito75Q1KYtXnh6uuU4Cu+FXd5tQ5iMsd5SyWLYUCmtJou2A4c3LELl7o1Gl1aMBLaFSKHIqi37oOpeSlYuuuc6nx9PPvcCbr5mIjp3aMsOnJmWimG9urBjEIkYC1cQdeneYgwsyDHy2xtkhaKSEo2x+4cjzFV8Vt0+HAmHcKwrB2NchTjDWYBRjjzkRbx4z3cAC/zlqAyGUBOMsJjtOsq8QQRpFLNdy+t5TZvh8217UFJeZcaVyXRffm4RuO/cU3DnC2/z/KNMeJGMqNGs+YleL6695mpMe3yqNncaICBKWFeet1obURoC2eq2xlYNQ1lPEnVS9ZxmnLjchTgWqF3c9dBUBoRo3YVXXs/YmWe/+JR5jSp3jI2Si74npqTi4O6dxoU2FAsaT5x2Ulq6QrLKi2oBkW6KWdnZKCsrU+CdXihFFskNaiG+gKc+/AE3njGCkQDSz9oW5uDE7u3Y9h83bDdAtCHPyCwjbjNe2+Vxs6wql70/DxcM6Y5T+3SCy+vlQDvBC2diApyJSdh1uAo3PjMbs6dORk5+IeAVINuTgLA7AbXBCG6+6x7s2bcfTz/7PANegYiDe4qEuOuwrCx7hrRyS+At5yY5B9vpX2J8jwbZUqYzt0vjj5VNOOa4pwJf8X38xRNRfqhEBzGqB6dyPeo1aZwYVmI0S/tUyTHl5zdfeBJ9Bx1tgm9E8y+o8wJZ1Gif6268CW3btsNT06cziEeZDAoLC9Cze3cz3FJafiwys1Y0K8U/i9MmOUQlU7R7pbFfdvQYYrxN8n71+/D2y8/hvInXok37jmwdhZUcNfIEth8RHbL9rZEXDYDsqBRtcp84xquoEom1VKzVKl+BnYwaFT6vqvfrB9lUnpw+HbffPglNCguMk5nWbImdBKeNIWOJFKsGyzjNZbW4eurLOGNQT4zoWiRisnWQrcZhsxReNT6s3VuCq35cjL/2l2BKlw64o0N7HJuVg+yIi4VzOf1h5Dk9OD43D8/374WWSUm4+be/4Ksjl3PiZBHyYVBmiJLekorFCA7sPUQx7RE8cdOlTK4gcsZbrrgA7Vu3xOMvzBQYhSzaLqzfsAnp6elo2rwFJ2y0PGt1INLGbRvFKa0jeeJ/QIZmSfGhaqtUtE9phAYcheTUNH3AMTR3CvuuuAiaXDp27GwIFj/9OA+nnHwys6x2bN/OJj7bZoAQJT0lGUdqak3XA0kiIt3DtYlIglUiERHkIR433F43ph7dG9/s3Y+P9uzjQNjrgssrlgkuuBP0pSvBDXcisXq6+TpGPsKX9N1a+Ta98glRuI1LEO91YktNNZ5YtwmPDeqJrJQEvp+F1Mz4LNzIVSWCBsQNdnEzdQeB6m0HDuHht7/Eq3deySZfuQ8nRzNJ0jjAFkvxbNUUXtytkbcObrG2xmtL0G3u/+Zbb+P0009nWsRRp5zC3mPzFi2E2zPFJXmYRYNit6MAswKctZHLWKo+4kpnsYBs+hZPx9m2dQtCvmqEgwFRyT2G0n2FlKoykoeiQHbQCrh9VCk/NQelaa26o+O4W7H1j++xY9kiZLftzt5HUn5LxojMBH8FbA8+eSyOPfMcVFbXGCnBDNI0pdK/tLR0VFZURrmIGX1Lib+mgffRWe/i6rNOQjoR5xjAWYBtI32XDdgOyM98wDSBsp4yjIF6zToeQnpSAmZMuhxXPfoiaqprNICtfjZYx6PAtjmhcODNJxUC26QAe/bpp1BVWYkpd9/FBvD6QbQqCNVPgmYLpsUYGL2vNT+rFXwDJ406mbW5li1bGuejPLVt2raD3+fXhDoriZYhZooVdhOyAdRsCrWdhsqhSu4h5Dt8QFPByvPXV75/dxbve+KPCbojjEug/EgFmxc6U+gQD45Gk/xctG1ewMhbOjTN13wSD1XXIi/RawBvcieXvAvkJs4sbRGgLhTGXF8xTnLloocjjbmNS1BAYT/NHEkY7ShAXTiCt3wHUBoIoIYYyYNh1AQJcIfhqwsxNvKIP4Qr27TGk3+tRbCWp/vigNsURHo2z0PznHR8+uMCln+U5/v0a/k9GeAWJH6nnXwS9uzejRXL/tbSwRkkS6oFRnve8RdHPSDbCkbUbfGha8vvtONZiKQs6+orI0/kfYGEJFnIUtOydRvWTmJHLeiAh0rpgX1GusR4SjxAu3lRe3Tq0cd2Gx95+VyWm5vLsqloN6xMamQZz0pPjzqGPxhEp5aF4pZ4oxjYvjnrC8d3bYP5m3aZ870i43CvNy4f/LWvBLd98RuenHAchndtw0jRKB6bMYwnJMGZkIziaj+ufHwWZj10OwqbNgO8SYh4qCYi7ErArgOHcNb5F2PosGMw+d77GcD2i/5DHiNkqaI5iFeu2CLgxZXAXBFMVc+SYXKq6G/OCqot45uFqCyaDFABvlZkbG3kGmjhcuMLj9xjIeizU3ZZGMhtZGR1nRk2GU2GSS7grdt3QO8Bg5S0t3oqMVqecJLdvOBB23ZtmeGq8sgRPP/887jn7ruE55oSm62pfxpf4mEeVy3a8ZSGFF3ae4EDAb8fbdp10ty+e/YbyICW1aKtvv/YILuec//D8cquxDT8xGMk0rxj63++ZM1etWoVjhl2jPLeTeOkZs0WaVR5Oi8C2JTCq465iwdra3D9EzNxdNc2GDuoGwPYYWVukwzhVFmu7Bof6qp8eGXZRryyajOmdO6ES1u0RErQyYlJa3n2jpAvxGqQlv4QIoEwjsnNwdhWzfHU3+u4/BwSHp/sWhXvZOayJN6Aw4FTh3CDbIfWzY0QV0qT2LaoNXz+gGYQfPmVV3DFVVcrZJX8eWpPNO6mG4mbeTxuoE25JK0aItk6VQwjG0R2fhN4vIpmSWrvLAMMrUugAH3S2lIeN9KGBfyorqpmhCFNmjRhcTFR8dmGZBZ9rZmpyThSVWtYrRnIZukxdNdqA2wrGl8ObLnrX0qSl4Ht6nAIj6/bhBDhTq8ClNmSgLUL7kQFRCdy0K2BcBVQ07YokK0AeWHJZkuvC6sqKpkl+4khvVicqway3TFisGmCFTHnrBoTsB6XLfNil1fX4dpn38GsOyciLS01Jsjmv5FgW8Y+KFZtA0yrS17VOG3Dsg0HjlRU4KOPPsLFl1zK2g4BbCoHDh7U2hTF6yckUH5zs6Hbge34rNrRIDtei/b6xd+iZP4LqFj/I2oPbEDFxvkIVpfrYNuwatNnXjnYDrIqwbZkI5dpv4JB3iX9tXUsvVB6xyHY9Mun2L9xBZKz8hjAJjdGxk4eFCnAhMWgqqYG0+643rBqc7CtEDyIeyUQU1FZoatVtTAMM4ZnxfrN2LHnAM44qq8BpvVc1xJgS5Btfg5rlm0FbIfiANuhEFoX5DDiq1ufmhXDmi0Zxi0xR+okYuQs1sE2c6u7+0506tgRF190IaoqK2IAbN1SrWcZaJh9XGMbb8jibdlO52reguekPXSwWDsWjZUJZH1S94+y0ESDXn2dPeiWlVyr4rJoUwxSUhq86Tna+VRh064wojvZBEX/k2mBunTrjo2bNrH9yLItvWOa5OVif+kRNMnJFIQ85tFLa33IIWsG9W0S5MVEzfpCxLSwfe0vRTdnKjLgYSBAgoQA7RPh3wmQd0YaBjgy8J7/APYTWVqIs5KTZZs8UKRVu4M3GYlw4I+d+5jgYQogZN0m7X8d7ho7Ei9/+gOKi4uZK57BRE7CjWDTV9vrtKmP4Z577mFzoZr+TbW8KDqUf1TsgLSdwBkLgMesMcA24ljWJ/BKgH2ouNi8fuERlyCsWPXep3Jx2QWFKCs5iHgLjbkNlVUrl+Pbj97VV9qIK9m5uSgpKbHcsLljWXkFsjPSNOGGxVcKy7bBJO9woLzah8LMVFw6rDdeX7iKhRdEh8O5cLjOj8nf/IH3/t6ANy89HW2a5BoM5Iz4LCERDm8iqkLApY+9jGen3ISiNm0QIZDNgDZZsxOxZMUaXHHtjZj2xHScdOoZHGQzTxEJsiXANvtVdU0dDpWWcQWwVAJTqIjBH2IaamK9P2OpAWELwLZ6ekQB7oYUPuYroUqkdalp6ThSVmr2O+24upLKDrCpwI5dp3hvxlyhWLNJzP307dcw7sLLouYgU9HG1zdrYfYFdQ7w1fkYJ8KUKVMwZfLd7LM6r+tx2v8QbMdp0Y73+Mb8ZMNAru0nnoNX4AW/r07bXnmkHHkFhZygWGknxm/rBdn21mxNOaMu1YuPs5hiqxlSqiGbWJGxVtk2jsc6c+ZMTJw4URCx6gfjbcDqMi5Zxs2YbMqFfduzb6BH66Y4b2hv4S5ehxBVacmuE2zirPqxv7QS1/2yFFkOFx7s1AnpIYcA2AEEBciW2TsYyBZAW4Z5Dc/PZePAD9v3KpZsS3Yoef+i32SlprKvBw9XiAxIHJ8QfkxMTGT4hFzHSw+XY//+A+jcpWuUu3jUO6r3PZrA/D+3aPtCFMPG7k75p59ePgj698Oc1xBSk9tbXXc0DZ+TTZQMaDscWLd2DXr16omS4mLkEzmAmjM7yuVFeTRCy9G2RROs3b5Xt6AK0i6Zh1Jasw3XKpFzkk8+PBWGk1mm3biqV0cMa56PG/9aiS8PHESEQLDYJsE2q4miCos2A99snVzK7Yol3NaqzS3ZTo8Dn+7dh/d27MJTR/VGdkqiCbJF+g4jXZfQXJsx2CJXtuZSLmK4jDhrDp7pzU58+i08euUENC/I00C1BrJVS7aI2dZjsQm+mGRnqjXbWB8Fvh2MvOO2SZMY2Rm1nby8fPY6iw8cVASUCAcXCQnRwFpBzNGWbhswHgNk0zoSAhoqaV1GIXvoVUhuMwSu5BwGJEv/eA2B2grUlWxnJDsEsIN11ajeuRwVG39FsK4GVduXorZ4K4KBAEJU/QFG4BSkWBYWz0IgPASHy4Ogr44J8+Qq3vn8KQhHnPCkZKDWF0KtP8is2tJ93EdWg2AYqTkFyMzNx5rlfxsWbUY0ZTC+8ntMSUlBVXW1riKTk7GSpovu694XZuPx68430nVFuYwbYFtJ6cUUCya41qpx7Pgs2yP7dkV6ciK+/n2JmebLAOsq2DZZNI3PJFhoFm8dbNOEc/GFF+D6667Fueecg31798DpiFhArwKWtXRcDVixY7mJ24JtRdhiXj5SAAPy83lfKCk5qFmsqS/QJGIHkO2ETDlyc+tevUYdo6ipt2IVykNNP87qPAhJOU2ixvv6yoQbJ8vWF6W179CpMzZs2Mj6OwPaYgxv3iQf+w8dZuz1zFNJOU91IIgkl0s0ZQG2jRhwXktDARwOB9HRmcqs3KqlW8aT0pJtC0eQFfFihCMHH/kP4lAwyCzbhhs5A9w8/dcVLVth1uotLPSDg22ZnoRbADzhIB684FTc+/IcJsSQGzm56DlsXMipneZmZ+GC88/FrJkzoxUoipBvAG7zsTei2KAC5aMVfERviVXtwXb9IMfGfd1ScvLyBLg4aBg06A/1BS/1BfWK1TZv8b6j0rpjV4y5/Ia4n1Q8AhXznqBxSRaVQ0R+J4t2Xj4OFhPIt94x/8HBkkPIz85UrFf8eSZ43KijtDbyJw4HSiqrkZ+WgpzUZBZvfe7rX2LR9v2G994RfwBzV2zCdR/9hLP6dsYL549CeloyB9gszRe3ZjsTEoGERFz79GxMvupCxpNDlmxuzU5kMdkffP41nnj2ebz97ruMcIq7ioMrq1SwHYqguq4O8779CjV1fjw2+VZMv+9OvPfay9iwbi0W//6rMTdpjOSqRGcI08rCalW29gnlJ3YAW4590cVcaW2fV06ajKTkpCi3ctOzRE31yn9rVZZGkwHbhx59/NZMbW5Rz2EoecX3/AIxLxQf1OanOl8dSw9F4+ZRgwea1mxD26PIzjZefnGVOEKKuJL2n4xG0b+xjhV0v+QeTgo2vp3/puxQCbJz86J/Xy/INmB+zGuyHacauDU7446+Xnq4CI6aOK3ZNqjH9jUu+P13jBp1ktigW7NN13EzbaoRm03jCymC/T48N+cLNM1MxWUj+5sgm1my7fJj+7HnUAXu+GMZbmhXhBOziUk8yEF2DS25UppAdojkXD8BbLnUwfb1ndphzsad8JFHJFm0hdu4JKPm9296yB6uqWG3ebDsiGYAJLmBZCSppP/yq68wdty4KDxg9+5i9QkNN5DsECe7vvO/6lvy5Uuf97SsHFQcLq33N+rgSJZKSh9E37duoTyqHVFdU43UlJT4LlCRCI7p3QU/L1/LgZ4BsE2Lr7QCSws2B9gCXItck+RS5RZxS65ED45r2xyvHDuQgVkC3HP37kW5IwRPkhtuWVVQbXyn6tG+myCd729YxgXQJgB+KBzApOVr4ItEMP2oPkhNjnYXN5UEZqy2FXCrzOMU+0ig2Wqdvuu1TzHu2EHo26W9wSxu5spW2cV1lnEtv6e0UkfFZUdbuKWbOXWWVatWs3i1Y44ZbjT+ZPHOa2prNCBd5/OxvOzGQGWJtQ7HCbKNNmu3Txz9htwUpds4XF4ktuyPrKOuABxu1GxbiOLvH0PVlgWo3bcW/tId7OBhilGOOFC1+TeU/z0XviMHUHtwC0J+P4KsctBNVm0W7+arM6zcAfIqdThRXXYA+7euN3Jtm/m2ea5tssafdvE1SMvOFa560kVPH6C9Xi9zwTd6ruIhIMEqAd1fFi9D745FKMhMV6zYIe0zB9cyloazP5tpHLgLvZHSQayLD2yHjXX3XDIWz777OSoqKnkqMcOFXFEMWHgbjDhtA2zbu5HTcvCAAXjhuWdxxeWXs1zG0UJRtGAkAbMjDtdwazXAdBQpZLQrIaXWY22/tsYE4AQuiLUzIVFb56xHyNStyzrSrs9S2VAhgZnKzm9eQdBHypv4y18/fxNzW+uittixYwebKKnfy/GlVbOmKK+qRmpSgnhYiuJOCk4GAaYMZxIVwOpQFbo4UxQFlNk/eDHvms1nNJfBg2OcOfjYX4yaUJi5lNcRqRrFfZMXSl0Q3gBwZrMmmLViM4J1AQNk85yi3M2ud4tC1rb/Wr2OW7WDVIWAI3OXKjwDZ487C99/9x0qK47YWFuiwfb/pCiKGlUUrr+92IPtKFxps1SBvbbZ4UBKCrdc1NXWaj/z15kWbTuLoypky98EfD688wxn7Y+nxKN0yitsxshfYxV5hCZNmuIgKey1uzAlvJ379qNV0wLLZBZBoteDOnKFVK6FGMdTiKTN4cC4/l0w68KT8d26bTj39S9w3uyvMPnL3xlj/ntXjMbA9i0EUZ+wZIv0Xc6EJEZ+9vRH8zCkTw8cPai/ID5LEKRnXsx4/S38umAhZr/5FpLTMgTfAa8G94GoK1csxzXnn4W9e/ag1u/HpMeexV3TZ7BUWQUtWuKjt17D4t/na2Bbc+WMYWKygmy2zvo5hrJRbjePYzM2qt6aYn2TZi3x9oxnNAWrCXijj6ODax1YM84Pp8nFIb+zY0YiqK6owISLyQoprN+Kp5N5bP49NZXPC77aGu1+qW+sW7cO998z2eKhZocqdAgYRZAWsx033Bf+oa2clZjKY6WreA3DnPgNHKitqUFScqolRr4+kC1/q5xXHStijVMNDLeKhKmvt3i2aOBbnafsqgUAGrKrOKB6ppLiEuTl5jIDpnlSxZptyEG6NZt7InKL9s9LlmPFpm246bRhWjw2q5Tr2siRTTWAPaWVuHvRctzRsT2aORNM67Vc+nQLNq8cWDPi0qBZXWEHjmuajx927DMBtpZ3S28oBw5VGGOhalQ18QLP/LDgjz9w9LBh9QJp7c1ZdFGGBVxs1Ix8/xXreIPxeoZQw5vgyRdejeT0TPvgfet30tYmJjDXYCqbN23GKSePwud1dUisxyUs6qiiZ3g8Xgzo0g6/rdqEY7q14+7NLhJeXMagQ6zM8inRgEhsdPLF6am/HAgF+DLR5cD4LkU4o30L/L77IJ7duAW1gSCG5OegT1YWWiQlAmFq3ALQ2SzZC2IhBkLTbuTk5rUmHMKXe/ZjUckh3N67M9pkpRn5sVX2cMOSLYnNVBdyA1ybsVkScDPXCsNa7cZbPy5GUmICJhx3tJEbU0/fJYG3Kwpgq8RmKsi2Mo0bLOPGO+L70yR773334YUZMzTNv5e06yy1T52mQaKUDmybqgGMNB5kx9pHbmuoEBkHuYKrDZjSqpCFLbXbaXwgE884oaCT4eXhze8Ab1579pNQXSUq137HhO2cIZfBlZTKme2JuZ5ZtH3MpZwdnjRnfh9Sm7bD8vefRcYtT8PpSOaTtqiUSs7jdCItJx+/fPgmvCeejJbNW2gx2vxZOQTQ9lunAWMgYzExoRBe+fArPH3TxYK8TJCWKTHaGsgWAJrn1FaepI7woiYrVe+t6cAdnFmdfpvsdeOui87ElBlv47k7ruZsnYY7jKAZp5Vs7KElTSZCMqGGQc2Qp5PladgkM7lc74iweB7KM3n9DTdi2d9/4+prrjVIXFRXISNHLjGgindjzfMdb7EDSOZj4gdNYszT5CbH02jJwi3aCRYLjSq0y+evPFz1oVsApQlyzIk7nr4gNbrkTuYiC1gjyuZVf9uupyO2aNkSO3fu5BZtIhUTY0nTgjxU1dYh0ZvH2eutEph6HDn2KkrgjcEajHbnc/2MsGLHuk/5O+pDmfCgCEn4PVCOkc5suB0RuINheHwheEhodgcwLD0L92/ZhHX7S9HNXWAqOQ0ySg/umXAirnl5Lj6b3hEuIvl0+w2FJmNGZSFOZJUPsxRUk269BQ88cD+mT3/KFA5lR2Ftz6TxNV7tf1W0dm3zjK2rtJPzq2GXJ/pJ9I+tK0XaP4V1nO1F1xHhMgIVn5+HmMnHQC6kcs4wBGXBAm3cg0pfTnNMYiInQ4uzxKWA9dUa12F9LKrAlpuvWLRtHuuOPftx0mCK9dY9+BI8lH9bd9ullF9k6eb9wMkyqzx85nBU1QWQTB5vQoZh2S6Y1x733nN4yJJNubITmdv4z6u2YOPeYsy69nK2joNs7i7+7MuvYdfe/XjiqWcQAvEZ8H7PvEGEMpfA9g/ffIkVfy7FpTffgcdfn8vmQHqfpACm+6bh2JOYjMlPzsCS+fO4TBkW4gSxo7O2IhM/6o9GBT92wEhVAsnnzNeLd66kiqKxWy1G6i7BQc7zZHMwTQSUe3dsQ0VZGdKyiCVeSLQy7EVcLweqgvVcaSyGNRv2IJu+11ZV4pevP8PEm+8AczjUFL3y97pVPFnMC6QwNxWsEezduwc9undHOoX/WVzEbTmwI3Hmz9Z+EwfQ/ocDkf4W7Xeg5ysNc2yV2J2FkFjmxPpBtuJFE2N402sjZ3khG8j2Z4x4ytRsZJBooND74R6i+vgvD2Sw6gNYtGghhhxFDOw6yDaVLgq/jeEyHuAu4wE/DhaX4PF3PsPcuy5j302GcQGsJQ+JCI86eLgSdy9cjts7tEcTh5eBawLSBKx5/uwIq3JQZ32MjUcWOUXgobA7jFHNmuCBVetwWsdWCgmaYtY3ZEAndhZzg24djY0ilJUqs2gzD1iy5ztYuA5lL6LxKh5VURTYtnoVCLn6v7Vom/65URoZcT2KZgY4dGAvtq1bZbznhu6Mdxw+gVIe4ZycHEMjYfZaXW9uVXfxOGwOCK85axQefedL7Ck9YsQas0qTjHAT57lPuRVbuotLa7Yr0WssuUWall64kzxISknA8e2bY/rwfpg6tA/y0pLx6d79uGXZakxauQbPbNmKLw8exIrqCuwP+RH0OkzLd6Jb+1znAjbUVOGbgwdxz6q1eGD1euSnJuLF4QPQNieDsYSya2Nx29ICr8Zny8lTIUWzpvJiQp4Zay1dwNfs3I+vFq/EA5ePt3EVN4G5adU2SQWiUnlJxvEG0nwZcdpwMO34yOOOR2GhZB/mlb1zQejAGzpvc1Gu4yogUCWZetzFTRZuO5AtyRbqLzS5kYXaqJIUTWoF6R9ZXMU6ud4kTwvA4UlCet9zkNZjNEJBP8pXfcOsLORO7nB6WGynQZYWIO2fD05vEnpc8RgqSku4NZtVkxCNBBqyYhe2bosfP/tQpFXRLdpSEUVkIlrvNTow13iWlB5mzL7cmi3ci4Tl2bRqq27hitVaWJuN1EtSK2lsb9iyLUnTpNX6mF6dmSfBklXrFWu3mrtbamotVm0tO4HV4i0s22IdMZK/+cbrzLX/6quuRHVVVYOx2FZrdONrLMs3355Myjsio6w4EhWLR9beKLd01ZpnsejFKlHCRCMUByFBepPf9wQ43fbpj2IN/2mZ9umNJBAKBAPCou03xg3yyqH2lJDgEV43pmLU6yIQoMfSanOU6NtuOEUseEMTLt8aFu7lnZCKbeFalIUCLEUYhWv4KT+3X8Sd+UK4oV0bPLNsAwJS6+8zWcipD+clJ+DoLm3x+S8LzThtFqvNLdo8bk66kYcx/JihqK6uxpo1q02Lns07+yeKnvhLNNy284LQ94z+ph8gxlL7qrdF8uCgUkXzgvIDGo9pXtAsVDHcieUX4iwp6twtzrslPNjwvLDyz8XYs32L8TPtF4rARgSvFF7EwZrFXBeJ4EBJKZrm5ejWKLp/r5tbtJVCc0AiAW0xCMjwsDTygFOU7JLklck8zJpNcdncZZwYxp96/ys8d8/NLH+2jMeOuL1447252LV3Hx569DEOsllIBbmLw7Bo+4IRfDp3DlYt+wsX33Qny7EddrrEnCQZx6lyckJ3QhKGjToDj95xI5vjzTSUVvdYCyCOAbLtyKnM7zZt16bfGMeysYafcc6F2LZxrbHNBL26O7dhcSYQISvLXuGICbJp3nni7pvRsWtXBVhLV3CdAI17TvFzsdhry7xAHgSVlVXo3q2rCLW0ZOVRW6XxaC1S/H+kqTOxgClT/ReHlu+EuY4LD1hZCT8QjtDGpTjcxTVPh1jWbPWrun89agHrXVtxkybHxqgGTlYOpcm7lnNQWb58Ofr26SPywsuwW5UATchN0otKcu+IlF5TXn4Pj1x8BpKdDkTIe1PMYdKKbViz6/yorfHhnkUrcXP7tmjq8hqx1wExHwb8YSa/Mj4ikWYzqGXikZbsiJHJh2TEZKeTjRmMzMyI0VazE4gn7yTW8cNszZGqGi37EeHHRFJIORyoqanhHlHKo9Leg00135GSPljxvJHK+/8YaCsXaOveoA6SfGdi9eQU6mRx1ONnrYVbtLmGioQrmjypIxHDbrTPj9VqqoBAARQLcrLx0u0Tcfn0N1BSVctyPzo8lMPUyyvT6HoYuzZNOgbAZlW6jEtwnQB3YgJfykpAPMmLjPRknNihJe4e0gOvHD8Yzwzvh3O7FCE3PQmba2vwyd59eHDNety6fDVuo7qC6hr+eflqTF23EUvKy5Ga5MWd/bviueH9cUr7FvAm0nVw93KpADCUAlGA260Ab6dNWi8FQItnRHG+t78yFy/ecimbfKWFO4r8TLKTqyDbNl1XrPzZqmXbZCbfd2A/PvvsM1x51VU6IKbUP3QtAN54dZZGv0/gggZYHWDbx7eITUZHsX7X8korHSiekAsCqSpoliDbANsilVVYWH/DRo0G546ENDBqrkgYh+a/iEBtFY+bp9yFFL/NBilysSH2RA/C8GDrr19g+9+/MdZxIkRjwn7QFGg69B7IUnIZINsixHg8PH2SXtRRPYzv/vgTowb3NsG1wUJuxkiTVd8A2cKarbr6GC4/Cuhu2I1cgmYem6OmGXv4yrNx3yvvMo8CE5hbwDZzFbcA73D0eh1smwCdJqebb7wB5517DsaPOwt///Vn7HhsaqtRKbXsq60LuWQxl9XqPk7vitJVAHh91kwdaKsx2lZB0Qq4NSGiYVdxCbYb4+nE2oddsSjV1XL5fU/a/sS8XsHdQfOCMo7QKyPrnplJgj+UVK+H5cbWvJKU+whEwnALS5RVSWz/jf9YjhM0Fg1wZOKXwGHOsMzAdoQJEEyY8IeQFXGja3oafty2l+UQDdVRTlEC2QGE/dxqcOWJA/HyZ/NYblJmRVDcx2XaLyYACSXQlLvuwmOPPhr1Hv8turZPFmNfrEA15k4NCJ9oQEGgWaMsjjAEUKm8N/s17TfSom0FXg2VEWdMiHULUc84HsMF5fVt0pyTF9ZXzEMJxbR4GtLzq7q2DskUGmGcWHEdlzHaom/7gsKiLYlPBQeNkU3FIHnlLuNMBvJwl3GHNwl1cOGaJ1/HjPtuRUpGFgPYcBO7uBfzFy7FT7/+joceIZDN47E5cDbdxDdu2IAZT07FsaefhUtvnYKI22MofaW128iAQY5SSsjG8aePw+wXnhRKcJkVwxRsYz1zOxdf22rtL1ZQpSohtTFRJR90sHza6VlZKC3mmRVMy7KYDxho5nOBXTXAdpT7OOXMLsaIk05Fjz79o+YXh53buKg0h1N5bRaP66brvvfee5GWliYUUjoqk6DLRGlxWL/iaMGN/cU/tXTrhWK0hWFOed8kl5G3npbm0oYlnh9BLG3aid2cqA4o/2TY1bzyLe7jDQI9RfGkupHbvkEHsHXrVrRr19ZixVb5a2SYkmnNlim9lq5azxTWvShXNlmzA5Rqi89dUmlM8xqFR1Gs9dN/r8PJTQrR2ptkuIUTwJbAOqAo2wKWylPimpXFYwvrN9XOmWlYU1IuZEh9QDDJ85yG8vHlD74wCJZpyRSwzAvKwYy32dnZDbwX3SJl+x5E/5HdKB7DXKNcxx3qiYQbjgQmTsNtnLum0rKgVVusW/yrRUNTn0jjMPK2MnfBujqW0omsGnxfRW9pAXDStTlCE0zEzc8TDqNdy2Z45qaLcdHUV/HijRegKD/LeEFM+0vuz06itXci4nIyIicmuBE4DYbgDLoYmGCf3ZxNmhM98dhTNYE6s9qFwnCFXGibnIC2eZmGu4MBOKK6hRAEpUCouKsbrOgWpnSTxE1hTBcx2QbbuLpOWrFVK7XThbte+xC3nn0K8nOzYzOM24Jsa95sU4NkzZEt03dFWbkB3HnnXXjk0UeZe6SmhCFiIkEoc9Ipp2oDi2wf6r6adk92Aot7h95ROPg026AOwuMq4aDGyMwV04IHQC6dYd6+DE0cH/QYMBQ/Yk5qzCLnQlLrwfBmt2YAm8cpc2I0psdmbtQuNuCRQN98+NlY88ZkNOsxGB6XEwnuMPxuKdyEmeB1/FnnoaqqComZ6cbzlXdMKTACisBmbpKdOozv//gTT91wkZavmgNjG5DN1kvSCstTZH55UtKR+r+I7eTFXbB5u3Fwn26NvCM7LQUXjhqGp9/5FLdfMp7vR31XydUpZ1Jy4+PNQTxn9oUzuzLBVrkEw41caUrDhw1D9+7dceutt6F9hw645ZZbuZLHSI6iEOrpzS+6xIFbrcBJWmNozKFyyqmnafCB+oKhl5eukPLccje5WnEvtpwg+joMz6z4wIr0zi/++3vk9+S53mWxCghWG9UzN1+KyS++GfPYMnwnzF6QqcGmNDZVdX4jg4IcMxnQDoaQLEjSrA+1OhJGMlyGgi76UYjJzViahV1BBMh3JGBFpAIHgn60dCYg4CSQDbgDYbh8IbjdQUxo0hS3r1uL4S0LDY+kkDcAp5dya7uRnJCC0wZ2x5zv5uOC0Sfx8dbtgSPsZqFHkbALCLuYEEEucC1bNEOrVi2x4I8FOOrooaxNk/ur4gnd6GLcIXPni3bVjf1O6tkm/sTsB0o/Vx+12u+046ju48x7gveF407i6R+lcExjsSEoqy7i1gNbyutT72GsutH3KOL8Y7YG+zLh8muQnJQce19FVkxKTkFlVRWy0rjFxe4aTFdJ/iPay5oJwONy8UwZNI8Iu4na/VnYmRFuJoG2cBn3JuDGJ2fjtksmoE2bNpz8TMRmUwqvqU89i3fnvM+s05TFRgrI0pL915JFmPXsdNw+9Vkj84VM26XOp/J9kvpcdmVa9Bw4BBXlZUamARpLeFiO9sgMpWFMkB3rcRvvn38wQxLMEAV2DEYWJWVMdT2dh/czIvec/dwTuPXhJzUQ5hK/YSpacT51lFMt3laQ/d4rz2HQsBE48YyxHIQzBx2F+Ey1mEP/LuWIU9m8APw6fz4KCvKFkcJqElWfpiXw9B+VxkFNE6D8N0UqkEnWUGcpt9vDDAhW5YrxOykbGN/Vbcqcp2r3FOWL9RrifQy2Q1E8z0M5v8Rdqhu56i6u/oTkPsZtxQwI9L6VjBbys5KeVcZnU37sh974GDNvOEdkxhAAm0jLiMCMAWxh0fYF8NWmXSz2akR2DiM9kyCbLcl6TZXAdMSU1Tm7foSNBey5Ur93kgxJso5TWLQ54O6dnYVlB0vRv2W+KetrGhElJBXA6SOP1jRtHC/wfQ+XH0ZWVlbM9xNVje5jUf4pOELKSf+pRZviQNULi3mhAsikZeXijMtvMvzYTdZjE9io48Hhw2XIzslhW5s1b86JcBISuTWDPWDplixBnIV0S80LzVzEPUx46dKuCK/cdRXumvURHpnzDWoJs3iIWCxBWLUTmEWbVeZKlcCs2W7Noi2s2kkJcBlWbb7Ok+yFOzkBHmW9h23zau7mHlaV9ax6uFs6Wa/lklmxPRZyNuHSLhjRGXmb4VIutNXMqi0/S3BtLg3XcKcLc35eirSUZBw/qJeRQ9tcum1I0OSzVtN42biPq99VMjQljza9v3ffm4OOnToxmn2rKwZV6dnQtn0HrdFnZmej/PBhi3uZRaCXbVLRPJkKMZV4RY1bbtxk4CboqrBvc4ZtWioWa4tFO8qyrVrBg2Qh98OZVoBgVRmC1YfgcCcy90KqQVL2OMnK7WfW7bDTiy4X3YdA2MG0hn5Dc8i1hyTsLPj+K6xdzj1K1Huk4vF6TaBtAE6zQ9Knyqoa5GakKnm1TcCruoWbFmx1aVZumbZuF0tGbKbua2XGtFi1wyFMGDkEi1ZtwK79xZoLueZKrrnM2RGlWUnUoi3bVHOyMvHG66+hQ/v2GHPmaPz263w2rEa7fOvpuVQtu85g3oD7uEJsJgUryazasWNH7bjZ2TkoLz8sXMbNdD+27pUKcK7Pmi2FB3Okb3gSoRy+DRW9T1qUWjEUE7KUlZYiJzuHAy8xlqQmJ3E3MTk2MWWVExmJXlSweG7Fmq2YJfwIw61kkVWVT3ovsGgqlPGFxox+zgwsDR7hwEPmC5aChT8EbxgYlpeLX3fvZ6n8WJwaW8r88gFcMnIAPvplMUCCjmrR1vLDm23x5ptuxKuzZlllwJiCofVxxgQjjZG34xQs9cuJQxSJx4FC6QtF7TtoJ8rMykJFObkPRrsQG1dgc4KGrBFqHCf1z4bKOy8+xYwDqhXN5qys/bdo0RK7d+823o6Ua4zbiuogEZRVViM3XSGHdXB3ckrxaIRRKIp5rojnMgELmVOs2eQy/uq3C9ChTUuMHDaEYjU48ZnbyzJdXH/bHXjq6aeRmJKGoGAX52CbA+7NmzaiaVE7PPjSm4wXxEiRF7axZBshTJJlXKTxo9y33Xti0fyflDlKn5PlE7BiiqgQCoslG/V58dhZvGNYwuX43KVnH3i9Cdi7fZuREcIMHVKt1YplW4BqzqPCZWgJsj+a/QqqjpSjc7eeRly2VJXI42vu6NJTSXw354UO7GE99dRTuOuO25GTncWsd6pUZFizlTb4L1D2/wCKN74cOVzG5EG1mJmLTDCu1vot2eZ8ET0n2t9NPPOklEP/SbHqSXRPztj6EjPtnAqyhEefIffIECUzc8yS1RvQs21z5KUmGfOUnLfIyMPnMoq/DuJwZS0+3bYbVxW15tlyRJpa7oHJgbbq1RJg4VeC04G8WtTxQebLFiCbge1wBF3T07GmtFxXOGo3y9+QDGvuWNRSA9/Z2VkoO1zOPtfU1CIpOdnuKde7zsAfBthWAXf8/ShuoG030ZjAOvoCyIr20pTrmWXaADlMUJExsuYlhsMhHC4zgfagwYPxx8KFjOxHMs6avUAHdKrbOIERCbCZ1lZMKq1bNMPcqZPQu1M7jH3wJcz6fiH8NJwJra5aJdh2JibARdVwGxfAmr4nC1Atl0nK9+REA3CTa7kB0pMVkC4BPLmfy5qgVg9KA0HM+Hs9Sv1kCdEBtgTg0pXcxeKuBOiWcdtiqYNsNwvvAMEAAQAASURBVBau344vFq/Eg1dMMC3YLM2XBNtcA25asaNjsht0H9dI0SQZGlmyHdiwcSM++eQTTLr9Dr0RK1ojSlFBhcVjK22KwEVp6SHNIqV1Aguo1D/L9mnm65X7mBo3rs1uuNPQYKAAZ7JwK8BbA+GWpVlt3M5J4E5IYwNhXck2ngKM5d0OcbfxgI/HtZA3hTcVS1+ezN3GRXovLvTzwa2gZRvs2bktKg6V7tdLMdqqC6LFT49AKxPcDE8VAVgtoNgObDOgrrmOq4BbB+NyXyuIV93Fqe4/VIap73zO0jrRtT408Wzc99I7yu/MeGszPZkOmqNjtGO4kQvGZxnfTULKuLFj8P77c/D1V1/hsksvwaqVK9h6lYk2HqbxWP+sboFqzDURAFIhwkLVzZw4LA4dOmQjOFqEfGWpCxb2RQXb8fQFqYBtd9Yks/2o/c0yOap9sOfRI+udpui3lJEgJzdbQZEOBrSJEM0A1MKinZWciHLGcWD6/ar3QCA71ACyjwZqpjVRfsuLeLA/4uPM/iL3NssPLFzgqL8Oz83Fj7sOCrc44QEil6EQvA4HMpKTcPBQqZE33kxXZ22bERTm57FY7R3bt+OJaVNx4MB+G8VI9B3Zge7/qlj0GLYnasz5dFE4ukjyIzUem0pmdg4Olx3Sj6XFY9qXk86+OL5rEgCqoVJO+ZbFiaOEdVFk68svLMSBg5J5XJxE05qIvcUkRZ4tpZXVyElL0RQEPOWXyK0t47RlClPDq43LRdySzV3G/962Bz/9vRaTJl4Ah0jfReF1xDD+9Eszceppp6F12/amcKzUVcuX45mH74UnMQVOmkssMdgyT3ZYrULhbSjExfiQnJqOrz+aoxN22oAJ9dnJV3rw4AE89cTjbBlLWWgFUnbjpAlwJTjTQbZ0C7/l/sfgTfBg3Yq/jCwPOk+HGO8lSamwUkuyUlrSHL9z8wYMPuZYXH/X/WydqrA147N1Rawxz4hzBsS8QOFDP3z/PQYPGoTMjHSmlKR5IRqYKBbuf1vimBjimTv+aaEwOwLaWdk5moLEm6jEbduc3wqy1c9R7cUyb2rblOPHVOJp1yuNQI37ZxzHFmzr2/cf2I9pj081MnUYv1A9G9iBlLnFCLvj9cNfFmP80L5GBhkac8iIxBXFprKYPr+6ZjMuLGoJB8VWM/ZwHuLIATZXuDHFG0uVGREpNPm4QLQuUWCbFHEslZdZE4k5nOZLLZe2aQySJSS8OwgvcmU5fyE52dk4VMrnhfrmAfWdWQ13ZvpBcwxTDXTxznCNANrRF2Wa1RVXXkX50Lx9Z+zYtM6wJBqAxkJZT5YZMvMTkKIVHTp2wsaNG1kgO2kiTJCtV8OqLcG2tGgzsM3jsCXgdnoTcdqIIfj6qclISU3B6PtnYOZ3f6A6FDEAt2HRliBbsWibluwYVQHdHGBzgB71OxnzbV0nydeYNduDueu2YV1JOeas3mIPsD3c6q3HbesWbY1h3OnG5n2H8Oh7X+G1u65ksem0zgTbUlnBlzU+P9Zs2W5xExeAOQa7uD3IFp9Jq1Rby1xwn33+eeYyrgNisz1QLloqCYlJGhingfVwaVmURUo7jsW1w1QGca4A6zm5W3X9MWHWwpzd7UB12B58axZtdR8Rz62C7VAtEf1EkNSyP2r3rzes2nB5GJlSKBjiBBJhIDGrEAc3reZxojIujgT+UARtu/VGt35DNCWCvD+PxwN/LNdxRFBcVo6C7AxNIxoNuHmHVgE1B846oNVjtSOW31piuuVvFEs07ff6t79jxeadeO3Ln9m6LkXNkZaciAXL11gI1KRFO1RPvLa9lVsjT5NAXRyvproKe3btwvQnHsfdd92J2bNnY/y4cfj6qy9ZvPi/I0PTLRWykvKR0hx++snH7NW88cYbuOyyS3HOOWfj2muvYSQ4u3YSa7KM8FQBtx1hFt9Bs2zHAAT1AbioviAmhv1/fMJiuvQ5wqLkUTXEEaBZu46KyBCDCyEcRm5OjrgwftHpqckMaHMrnsmqnJOciMMMaJsCs3JHMYF2rFhl88max5E2ohx4sTfkN9xpmcAQNNOV5Lo9KKvzwecLKqnu9LCLE/t2wTd//M1d+ASzf1QeeMU749RTRmHy5LuxcuVKzH79DV0INHLu2j/LmIC4kYVIZdatXdsggI9XUWP9UX0KIOKdoMIIbpR7onmhvKzM5jf1W9OrKsrjvCwOhBoqR488Ue9HloeuWqDy8/NQXExAW+WCjhay5Lh7uLKaWYVzpEVbCHlJXg9qWVobOp8Mo+Dx2pIEVRLASqBdXF2HyS+/j1kP3Q5XYgqzZoOxjHuxcv0mLFuxChdcdAkjPyOnIxVkk+fG27Nm4M4nXmBylvSgsoJsKTxzwG0j9wmBNTU9A0Ga9wSfiBmKKcPCYo8P7775BtasWom3Z79ueV/1gO2YFm01N7fpxWAAZwf33qG29ubz07F+5TL46mqxc9N6TaGqWrPdsop1h/bvw10Tz0fxvj1o276TkTHEnlTTdBm3mx9q62oNBeyMGTNwzdVXsmeVm5OFQ6WlioLQxj3g/+Ol4kg5mxcY0FbGARoXKA2m6okSNbcpXcxsE/bKMbmdHy26e1p/Zy1WGRWNqTZg2vrq1PVvvvEGmxdefukl5OXlaSc124B0JVdyaIs5KRQMYMOOvejSokDLKMOVxNxrU4LsfUeqsKOiGn3SMkSKrhCq6oLYVl1tWLLVuOygqqxjmT50sM36vgDaGtiORJDmcaO81ifCgU0Fnal1M4F2EnETKC8iNycbpaVlWjhQrKLqo6wKEjkm6R6w0hUe/y3Q9rqdlovRyc10UMNr32NHITE51SREU12HlMG39BCnZ8/OyeVHdTjQrFlzNmGUHCILpgraRBoUUSPqUgBLAiUMbLP0KRxsQwBud1IyLjjteAa4MzMzcOHjr+PGl+dixa6DbLIhlypZ31qwEsc9/DrWHjwMV2Iir0m8ulk1gTQBcxU8s++G5dr8Hm29Vqph5fbgnP5d0KkwB+cN7CpcxkVlANsE2YbrOHMLk5Mq3T+BaCI548oHAtk3vPguXrvrKqSmppqpvixpvGQs9pX3PI5Jjz2H3/5crruIO+uxbMcC2RQvAeDa667HrbfdJljGbdqPaMQlh4qV9mBawMjjoYws2lHWax1ASytutLu4Csh1pZBs2/EIVIleiiexdxO3tWgzENiAxZu5nwcQrhXCnycJFWu+RqCimG1zJqQhWFOOUJAEeu5u02zIGSwmKagAbCnoJKamY93ypVHeNvSZ3BuJwTtWOXS4AjkZ6aYGERHM/mERjp38Albv2C8OpGsYoy3Z5mCpAnXtu7FdYUZVvkvQftHxg9G1dVNcPIriUzlYv++y8Xj4tQ84SZyqnTWAsh1YsQPXsXNxy+/XXHc97rz7biz4fQE6tGuHZ59+ErNeeZkB3XPOPhtXTrwCX3z+OQ7s51ZG1fLsaKASw/nWLVvw7Tff4NlnnsZVV16JMWeeiQnjx2PmzFdQfPAAe9zXXXMNnn36abzz9luYPHky8vPzsW3bNowdMwZr166JEia0+EXVumgnPCjVKpw22Bc8nLjQX1GKYF2V2c4UxZVmoTIUYBF8/caLpnucjelKttHc3FztnPnZWSivJIZR4RIoKlm0D/v8hlVRrpf34XU4QTkB1FvmyXlUVzuzyHWqjErXuSpSia2RGqwLVxkpwgxAIYWBcARNk5NQWlunKZrUdI8dmxdg54ES/QFZi/Igx4w+k8Upd+nSBRddfLGuGIm67mjFif171gVSdX/ZStT11197Le6+6y4sWLAg6lJjNxdTII2n6Ndvvr/SQyVsmZ3LBWy5R1ZOLg4Ly4XdgWKd949vP4/rYuj3lDqxoXLiaWcoYEhCNuUgSsnJzUNJibhmq++yIr3Lez90hPctzXWcvqclo6Si2mLNloRoijwg5B+Sh254ejaevPNaZJICS6yLuDyIOD144NFpmDbtCZF+U7RtRmLG67ZtW3DPkzOQkp7J5ppvPnwHk845FdvWr43BHB69ztrM73uGiB4tpGaGxTkGy74DOPeCi9CpSxecfyH1Beu/egC18d1MvWUCa10BqgFuB5CWmoaHnn8VW9atxON3XI8Zj92L1X8u0n4nLeASeNM5qsoPY/2KvzHpoWkYOvJEvp9hzVYYzBXQr1+L6a5O13uohPeFbVu3YdDAAcyaTSAqN5cs2qX6AGyP4v5xIYVOg/soZ/4vCz2XctHXs3NzNdfwbGMc0BVsOnC2KF6s46ExZ5qzgjoeWudF9Txz3p6N0084FuvWrLa99kZhbctr0p6jslJ+vOCii9i8MGHCBHv+nair1UtVTS1yM9IsspxJYMvdufnyt73FOKVpoUFqS15bz+zfiVfL9mFVbZUGqpklOyw/m9+tYNt0HRcx2uK8nTLSmcGRfVdlRMMIROke+f3mZWdq90QKetYXiJfI5TQ4Pox3oTl8WI1wOlYwwLbGJxUfXmgUGVpaggfltUFOCkM5ZAXZEMsnqw2wnHiILqxJm45Y+fPXaN2+gwGuJeukS5Cm0fFKmQaONNPZBrnaddffgCsnXo6DBw/ynM3MWYeIbCLK0nxoTGiSeXQZgZRC1sVcYQlYkgaHCGeC8LjcOOeUkTjnpOFYv20X3vz6Z9zzxmcY2r09zh4+AK3yM7H5wGFGsHCw2o8eZF0V2h+HkTeYjscboNMSe2oQQ6ngQv1uW0xStOaJCbhj1BAlx7bQVktiNOkeZkyqklncJDyTbuPLtu5h9zZ78jVokp8r2Mcl2Zm0YovUaOK5HTOwLz785icUtWrZQKquhkE2vbsHH3oIg4cMwfDhI/Sc19L6LL4zYiV659Rx8gu0beQiWFZWagHo/wxky0HK+iaIcbGhkp+ZjL0Hqc1K8gxh6Y/wdsedV8gNXR5LvHM2WCgDhvittEQwZVRtJV/tTkRy+5Go3PATPP3Gw5mYwYA2DXSyJmYWomLjVtOipii56B0unf8Dxpx7oQFk5L2SRTvmYByJoLauDinEequMKBv3HGTpvvaXV6BrkxzLT6SW0UbtKjV/sqOyfi9TTkjQwX/LSD60bRx0N8vOwJTzTuV5WcnSTKAqLRljRwzCzE++x9UTiDSPLNDU7vh2xkxD/ZPlzhbSimDisZJIccAlGp+FFI1WDDv6KHz82edo3bqlOAaQnZWJ6665mtXde/fi2+++w0MPPYj9+/czdmRy7S7Iz0dmpjn4+/x+FnNMrn0VlZXsXuldtGzRAh06dkCf3r0ZcC8oKDDGtu+++54tu3TtjPT0VHa1zZs2Qd++fbFq1Sq8+OKLuOeee5gS6t577kVKamrUK4gaJ6m5svHbHEONt8W28X3JktNQyU314lC1DylN2jKeAZvmFK0QsxKLSM299LwQv5VtlDTTainMy0al9HRSBa3kBJT7yLqnxKsrAhLxUlP2eKPPmi3T8tn++cnl4UiAkSCVR/h8aD5v/cmztqxJfIr1xOFAWVUNctLT+HoxvkvmafU38ju1JXomU6ZM4blBGbETEePIPKqCxEt5hzpott6XRbNSH8gWH4YOG4pPPv4ERUWtYz4r7SnIa2uM0K1ev0KKdojlniZrcIG2O8VqUuiZoVCI80TxuBPKkiQUSvWVBDeRhoVEqEgMhYcoZI2jsAizH8i24WCp6+p8ASRIWEnWUAG0DYu2OGBBZhqKaRvLKS9Ws0BhPq8bmVYE0J71za84qm939OjcyQTYLg8zTvyyYBE6d+6E3IJCFo8tZTUZY+0LBDD17lvx5FsfG3PNnm1bGAFX2aGDaN6+S9zPk66dnlNZ8UHMfnYqpkx7TgfTGgBWXKoVy3PTZk1x591TNMuieXhB8EfPV2mAWvsWxGi0k/ldtXQyEw/vZ0Z6rQgyMjIw9oLLsH3zRvy98HcGolUOI/mu6Zr3bN+Kl6Y9iAFHD8dZF1yqk55pSllpwVZ1LqayQbqTy21SRvriyy/x/jtvGeCDXMdLmXeHDdO4gd5s4Vv8heTHBopbSbUYr6dgfcV01eYhGhDyoFpy8vJxqLg4asySvzOWNu7i8eyvXY/NNW7ZvInN/QcPHECXbt3xf1maNm2Ku6fcw2SnAwcOiLGT36VBFis4kvh6JSsQKC97AmrtjC9ivlYNKTsqqnB6QaFhgabaLSEFvwUOI8fhMYG1kEkjSkuT7ZwDPd7PCHCHLVZtadkm5vF1pUcwVDPeqCnrIvAHeAadgtws0Yf5OXOzs1Eq2oqUeU0lhjJr22oxlDVif6MbGdHZEXhJq/bfAm1y9eWTuA6y+WeNfVyJwVn47WcYeOyJ8KYk6zE7zG2Xg20SPqWGSr6Udh06sIdDcWmV1dVISyZ2TnqKlIxcTMBCKJaPhzGOsl4RZsDPQeytTpM1mS0l2KalcDnt3KEtprYrYmRTvy1bg2kffo99JWU4rm9XjD92EHq3bS4AtXS1EAQCGhmTBWhLsK0gPC3WwKZIlxfDCiM7hQG0TY21BNgMIEuALWOtFUv1d3+tw6vf/oY5D1yPzIwM+xzZNnHZl58zBpedO842b3YUyK4nxRd1bMqX7fP5cdnlV2huF4bQrWm+I8YkQgOnuk1qLBnzKmNlxb8G2dZ34Ymj4xRkpfDUXEoeVAaWWYNknKBCOjRBOzuvFWizfUyQ7iShpq6C/8CVAE96E3hzWiHkr4MzMR2RQB2CtTVwedKYRZtitQ+sXoi89t2Q2ryFcL8zwYxk27a2NsnOGavU1NYhKcGraA0jePj8U7CvuBhNM1IREQMbuy/Voi36vnpCLnJKIMWlZoeqZ9B+L7+bCI0DawsDOT3ncBiXnDwCp02airOOOwp5uUSYxfeLhE2hVYJsBiwjJi2yVR6vD2xfdtH5uOziC/mkxc5vIBv2v0Wzpph42WXA5fxI5NZGysPi4mIcLuceCizPs9fLtKwEwikNiynoK8IQW5jZGSn+kLU5cgczNLkOdr8E2JsWFuK1117FvHk/4oILzsdbb7/DPFYURM0PbwFfKthWi/ozlue1gZKTmgAcrER+/5OY1tiumOSDen8ce83trC8byjbjEXAVgK1F2+FA0/xcBIJBVNf6kKCYwbIpRttHZGimxKpasiiDAxdAVUFKPpFY96qvp70HIxNtkIRdqNXHLssvWVOyPkNp7XQ4UFpRjWwiHDTuwQyzkfOArgqJMEGOvCCIl4Mz9NuTzluaqM1d2btL1geyaXHJJZeyWl+xx7pKA2yw8COoIJt+RkK0nBfUwuaFMu7p1Jhy3SPPxr1vcjxA2+VErYMSYenPzO4dZGVmMaBt7KVYs7MzMlBWUYkm6cnGgUor7S3ahZlpqPYFUO3zI5WUo0xpY4aMSWs2efSt23MA3y9ZhY+ff9jw9pOWbKrPvPgSXn5lpuGhIS3Z0kCy4OcfMeiY45jcRv2W1p1/82SUHNiPrIKmsfPS2zRA2d4W/fIDBg071pZc0rDwKuRgmrOKpR1bTyX7AR/z+ZVx/ZqA4Rrglu+JsyJL/vawAOE8pzWNYTSn8I416cFpuOzGOzDvy09RVnwAn707Gy3btGPKzg2rV+CoY0/E7u1bcf3dD6BFqyILs7hkI1cBtb0FX3seYp30dOrXtw+ysjJFiFQEeTnZKGG8D1LJZ1r+WDHmkH9emAzZQCGX+f8CYGvnFUtSqklPFnV9XkEhamuqWagXvQN1m+3YZvXgUhQk0b8xv8cqd9/3EIoP7EfT5s3x/6RElGwFyhwiWpEyziicV0KRR/MKyZPW4xnGECZ6caC7t6oWTVslIlJL3pqcIfzElCwM82awlLM+IgU1YrIVOZvaL/Ut8SAZ4zgZlwTIlmzjJilaBO3TUvHxzr0aqa6aV5tqnZATCrKzNFkqN9fsC26X28hgxbZaDG2m0l/FBtbvujWbviS4nf8t0E5P8Ogn16zawhqpuIXLoPGOfQdh/bIl6Hf0cIZ1GdEwyclGkLkDhw6VsJednpFlrKeB7aqrr8GSxYuxavVaDBk0wBCA2YPheFrRBFNaFKIUJ8AjYj2ddDICkwrQpiV9ZxYwdX2IudSOGNwPIwb0ZvE33y1ahuc+/4W5VZwyqCfOGNILWclJLM8pB9oiLlTkAzbiVAUop8aiW7RVkCVfr1pMa4cpKAqgoAFuadXm6W0YUFYmVx577cLr3/2BBWs3Y879NyAhKSk6fZeV9ExhGNfismOm8YqO09Ys2Q4H5v/6G37++We89sZs0/VCicWS1m1DCKd4z/37mYXO7XFrbPVkuSCtVFVVJVJS0y3u5xbwHgWyLa7qYhYw3kAkfot2QU4af79ikOLvSli06d3QFgKUTLAXLdYAkxxsq0Cbp+oJc4u2T7jfurwsTjdwYA3b5s1sylb7Kg/Bm5rC3XjCEaS36ITDuzajsFlzjYCKlnc8+7rtlEqASKZK0wsfPSqqqpGalKihB/pN89wsxj5pabHCCieUBqpkbBxTwhnFaigHcHXuUqzYNLYwxZkBsJ0G6JZWa1I23X/FeNz/ynt48a5rESEh1/AFM0E2P4aDjxcyH1WU5ToW2KY1TkNxIsUgmRDGoupjn0iIysvNZbXeYrUs2Egm+/btY+Cc5dM2tBOc6IP6QmVlBdLTM3D88ccxkqibbroRs2a9GuX3bcHdGtjWW4C4M9btG+4LuQS0iR18zR/sfRT2O167DU2xpSnGIti2diUKmzRBakKeoi02i8/v494L5BUQ5OQ/tEOTPG7J2FdajjZplDeV31BGYgIq/ZTeRe2XlvurV/jTWqPtNi74OpAKt7G3QVzE0jKaStFSnw+ZiQlaukY2ZguPpNU79uKs44eaGR40JaZsx/Lt8dK+XTts2bIFnTp30UG2ZtUW1xtlodFXGN8USbI+kG37W7snpQwBGuiPE5bH2vXggX3Ior7g8RgpGh3COkzKh+qqSiSlpkVfb4zy/gtP4OI7HtSvwF5LgGRvw0Cb5g41ZMPqlqoW8k4gbhqzmGA7LzeL8WQ0yUgx1pFFm/WFlBTONMDS5DhQmMXvd195FTqmkDFCWLOVMDpGDuv24v7XPsKMe26Ey5vArdikmBf8NgdKSpCXl8/mXSIwMojLFGV4px690G3AYD6Piasma3Zuk2ZsLuJKJYviTrFES1dq6icy9rmgsAkGHDVUuFur5F/2btwNgmzr8za0T0J5IxolvSkmZ7LpQABvxXJNczE7R4TALTcwkazKQALT19GxHMjJzcH4iy+H3+fH8BNPwc6tm5jiYehxJ6FD1x7o3ruvYSHXlAbiktSc2fo9mwRo8l5VDx2SkWi8v/aaqxXwHEFOjpCRKiuRnpZq8yD+g0LtpoFCaUf/ixIFdh0Og3QwPSNTe9fkAUmFwG5Ru/YxxjAzFKU+AG1V3NgpcqyF+sL/M5CtFFLiHzlyBJnkLaWMKzSvMC9LKdPLcFuBKXyUFUN6iYksBrKxqgoh3m9oFBIGRIZtuFWaM4yLNIDCsh0R8z0nkOVtnEQzVmgsoOOFI3CJlMnOUAQullc7jFQnZRIJMP4Tt5WMV5yb8mjnZqbD43aZfYHCKLKyDBlJKqijigq4Ve87YTSShis5HpqEjZwczUvnjKPE3RvSEyk/tbAUaikYzNhLw1JtpHKIYPi4C9G5/1AOssU6uZS/P1xWytzGWS5sYfmgffoPGszOffPNN+NIRRUjPaNY7AhLQeXmS3InZe5PYlIRrlDSHYp/9zKiD6pMk0txSawmMiIQYuF0JFBNhjMxGY7EZCSmZ+CM44bhrYduxVv334yU1DTc8MIcjH94Jl7/aSmKawJ8f/pdYhKcsgrGcvpMsdwGe7kNMRp9N4nXBImaJYbbKb476btMQ+aVrmAUh05x2GIyFQDaF4rg+hfew57SchaTHRtki1Ro7HnqADuWxVoD2aS1VK0wiraMVCWbNm/B9OnT8eJLL7EOHg2y9UYs29S2zZtR1LadrlGKmBrMUha3r+fqlL81eACU7To3gGh7quBvpBuJMC6ChkqTnHShVFHySiueDlFVEHbxKgcJUYWixziOvxoOT5LYFoInpx3q9q6CK40TXPjL9goNIL+Xwv4nIbfzQNHndA+B56fcJMcSrRDIjgmiIkB5ZTWy0nTLiZyNoiYaM6hJ08jHJenGugD2QoQyQrrdW9J1yX0GdG6LQMCPv9dtivIwiY9tvJ7tjJhKKORs9lNJRsxR2uCzj79q96fXTZs2o127droaNRLmFnwjVo8LkMOGDUX3bt3wyisvKwKpSvITQ0OvVDUuLZ74o9w08nwAvBm58FXwjADW2zBDRRRFEAlEe3agrIS7uVm1y5IMjQR/nhvWbB+tmnCL5uY93KojPX8S3S74KA4rxmVTf+FeKNHnUp6I3ha1beZ3slymOlymYEwCgyChcrodTJlMeyd4KUZW5DFmFkYZO+vCqm17WCYMJuyooU6qAtOCHLp164Y1a9YYV6RZptWlheleawSxLDnxgOw4unZsQdbG9GizjHX8bVs2o6hNO+266Q+BbyrlpaWKbqX+q6StxXt3GZ4//He6y3djXccJXMg+11Ahi1tNdY15NcbzcaBZQT72FZcq7597PxDjuIsJdqbw3K6Qz4lbD9D+khxQKt3NGO3lW3ejWX4umhQWCACucN04nFi+cjX69OmttQSplJJ9etGvP6OCpcsxm5Ph+iwEaBmbbCUHI0IwybxNnwm8PnPvJAwaOpzl/GXxygY5mDX1oe4yHjfI1kB5tAu2BLEasFW2RYNe/bqMe3M6GClZlx49MerMcRh/4WXo1qsPvMSdY5CjKTmylUwT1jhxRz0EaCrgXrt2LZKTk9G0SaG4UwEuRF8okYRo/4EF+59YtD1xhB01eJ4YiioC2plZ2XBr8wLQqqgtW+7ctqXRIDtK6fj/4dK9e3c+R8h0yDahnTIlshwr6HPXohZYt/ug8JA1iRWtpKP5yYkoEUpw+bxU3BYUINsnal0ojDpaiupTKu3nF8RpMrabZ+qgSp8jaJ+Rig2HynVPYUlqS+zmwSCKmhVa0rpyizYVitNmQDtoxmjLooFsxSVcJWaUWbXU7xJLkBfTfwy0PbFJqFQKdIU9krmTuzx47vYrESAQoYBsdR9ys6R4C+v6goImTDtD6b4uuuQSFJMbgMjzbIBscntiDcUE2BJks89uBXQT0HYrQJuB7EQ4ElSwnWSAbbZMSEJadhbOPmUk3nvsDrx5/00s8fndb3yGMx94CU988jPW7StjxyICNToWLV0McAvyNMFgzpeSVE1NG2bm3Ob7eXSw7VVANiM988DJtNRKFQB6Z0k5xj04A6cM6YP7Lp/A84W7Y4NsTiCnkKHVA6ztXcR1jZlcX3r4MG644Ua8PHMmkpJSGgDZvCGvXrUSd956I9avW2PJoc3bHVkuqJBiRncHl9XOXVxvo1EAwNiH/zYei3aT3AzBqC08FyTZWZgAt8oqLtmEaUnAOiSqCrZNAM6WEmhLPgC3F4nNe8OZkMHW15XuVsjGyMJ9GFvmvauQC5rPjPJ02k2xbJCKWSIor6hERmpKNNAwpXhtQjItiGb9dzhbeIao4FMMrNb0X7R8aOI5uGfG2yz0w2Qhj5GbWwXsDYFtyc5pXaeoPu0Bd7iRVRyLO2WyunLlClx/001Ys3YNOnZoZ6yX+5LlggpPXxExwDZZtBctXIiVK1bYPl47vKMBLQUoxBOjzVzHyeKX3xppLbqYyhGR4tH0sLB4mZDiLL8J6qqro2K2ZSErEbnZW0tedhaz8G/cLYj5BPDgPAeKdGUpNZEwEpmILzTx4rexeoPqti2eMP+Fw4FaCKBNlgyZK9fl4CmVXE5sqalGx6x0DrxFaA6BbZ7b2IW9ZZVolp/Dx2bVoi3GYdUzyABWAmivXr066n1Fu9TaCekqjLJYchzxgWy939tXu9/H2lcFFrFaGzFLT77tJmxctxZt2ncwr1v8QMZqlh8mS5d5vIZKUceuPJVh9JD2j1zHSUmr3n9996TFh2s35EDTgjzsK+akTvLiSo5U8vhsJa6Slk2y05GWmICN+w4pIFsRoAUx7DMffI1bLz1bGB+4oYLJUUIIX7ZiJXr37i3yect+aHImUN28bg3LU2xOBdLyHG21NqvIH62AbFq+/8qz6Ni1B5JIPpKpsBSw7ooBsu0UMvWNaca70K75n4FtM0OEnrrL+KywlDvtnosA26aSQo3L1sngJCDX+okDLLXkDTfcgCVLlqBr167CccW0OEg+C8Z7ZK9N/PfF9X9s0bYUIsS1xmdTyW/ShBnEtm/e9I9Attzv/x+A9qpVkpBNzh+mIpfNLXLOYYY2PmaM7N8dP6/YGM0FJQC27AxNU5Kwn6XXFKcwrL7cVZyl9BIguiwYwOLAEXzqL8Z7/gNYGjiC8mCQA2xRGcgWTOXkvk5V5SIanJeD33cf1IA2yW4rt+7B9S+8i5o6HwqyuEyuymG5WUJGKittkJdINehJDCHxqFzHw51lmi9+z/G6jjfOoq0An2irtuWCFOr2pm06YP3ypYJUQ7iPKyQbFHdLcVZSI2JaJYF27TugsqqauUIMGjQY0598iqWeYqyYDmHVNkA2zwNJbrfyM/vuptQVeqV12nqybgsrd8Rq7VZAOIHus04agdkP3IKPp92JgT274J1fluKM+2bguhlz8fmf63DYH+ZWbgLtDLgLAM+qyWrOgLk3VqWUZAksTyWzYBtWbNOaLUE2WbMrfEHc99aXmDTzQzx/y6UYdVQ/rtE2UnzpIFtjHLd2whjkZ7HisI3vQjAIBIK48sor8eijj5oM46rbqF3bIVe+d95mFjqyXLRt39HcLtpdZrZq0dbdUO2OZ8aFWlN7qbnfeceR7o7xTBCFBLTtOquWa1paqWWsvr01m2+TIDyMiL8GcCdrINyZko1gZTE8GU3hL9uNnR8/gB2fPc6unRQpVQd2Rd03lU69B9heP7nkslyLcpI2LKt8eyAY4m44sJPYFTBtleQVMj+Lec3Q3hsHVQVNZZSzMplLy7Z8thpAFc8zLyMNpw/tj9c++8Emt7bKKs6P52gs2Lbuo10HPw4D3AJ421mm66sMRFvWvfn2OygpLmFeIZ06dFCAPXfBkpaLQ8RcrFi7SXibOnUqpk9/QgFeiqBaj/VH3xZfSiMGtCOAOyUDgerD0bensfubmmD6PGzM+WjXo69oAiYjt9kOA+w+rXIiJ8NLwYZd+zB26muY+BqxR/M+za6YxXCZMWXynDtDtchzePgcY9yvGQRg+yxifD4SCSLb4RHWOiFwuxxweZxwepz4taQUxzQvhNPjMiqzZrNsEG58vmQ1Tju6n2FNMMdiHVhb31KbNkUirZu51V5ZUn9R97MCk1gNI6oN1XfsmGC9fqu23W/nvvcOYxyneaFd+45R58oRnk5aLu0YF6g+o5POvSSKEM3uZ/SO4xGoiN/DHPqin5QVzEvvCuvFtWhaiF37ixWLEVm0qxgrMF9nhnHRfN6hWS427CvBmKmzcclzczSwzQj24EBFdS1aNS3UvM5M0O5AcckhNGnCw5Oi+puo3fv2x4G9u3VALQG0tbpkdTLrprqNxuZO3Xti7HkXmgCbAVUJVhVga51KFMUM4vDSsQJVDdTGCbZNa7YeQ24qFcRnAbr1eHPVBVw9b3RctprOS59qzd+9/fZbTEYi1/Hjjh1hsVrTvMDBBcWmRqkupYvCvyqCA+B/CLStii+VWVxatKUXi/4bB3MZ37ppA64+fxxuv+aKxoFsq4HAMhhYgfv/JSav77qs3ie9+/TBX3//rXQAsxfoHqkScHOv1qF9uuG31ZtMfgdh2SblMFcYc0Vx28w0bKuuUd6J4OkyvEe5y/iRcAgfBQ/CCycGOzJxgiOX7fRV8BDe9x/A/qAPtaEwasMR1IaE5TsQhj8QRsAXQtAXQsgXQo+0dPyx9yD8dUGERIox8iB965e/UHK4AmUVVUhm5L2yL/CSS+RowqJN3mZWDg8dk+jyima9triQy8+0d7ztPO7ekMEs2oprqp0gZZDeKHkUwxEMPnms4e5quI+LbRQwT6Q3dbW1RooUE3AD7Tt0xPp16xh4a11UhFZFbTBm7Fl4/Iknse9gMQPahiVb5M9mbuIGyDbdxlWQzT/brVPcyhnYTgIEyLa6l3tT01hM97SbL8fXz9yD2y8ai7IaP25++UMGvO+Y/Tk+W7oOB6p8yu+lBd20fktgba3SzV0H2F5m5ZRpy/YersLTn/6Ecx+diWF9uuCjR25BUfMmhhWba6zicBevNy5bt15zjVgMqzccuPOuu3D2OeeiJ2nIrVZnK+Ow4d4NXHfL7ejZpy9rD2S50JU5gM/Hc0eSq3AUmFa0T6q7uAE85UBkp70Sm+NlEGySl2kvmRtkYDItgp0FW4kzMXJNq5UAIk9ZJUF4qPoQfAc3wJNJQHsXgnUV8FeUcOWAJxHJeRSfrTxfcTn9jz3R9vqrq6qRkqJYrHX/GQayCWyb0ooOrNkAq7oTqROhlchP+c4nvGjrhEqeKG9ETQOmW6ElIYaMdef18tOOxae/LELp4SPmNsW6be9C3jDYVvNw63koo4G49jsDeDdc+Y3rAP3O225hRDfUFzp1aK87O1NKizoes+z3+0xBSyybNW3KLMGrVq7UX3wMsB1lAYrTmk0lLzXBmNsO/vmt2Zw05ZdM7yjYRUW/27zyT3z91iumnKjrXFhbqa4h91r9Woj9Pis9FWt37mPM3XsPV7AflVXVIou4RIzUJGYIE2na1wZr0M6RLNhQ5Sk5zOZ/Y+fslXvKtluKAAqdCTy/rnSLJWs2ATK3E+sqKtG7aY5IveiG080rG5fdHvy4fD2OG9jb9CqKsmIrkp1SqN9WVVfbvFeLMGnzbu3AuKqMsbYR673/k2K9hdjXFNuafsOtt6OXmBeIJNV6MczKSqnyRJqX+i9ILhx479nHUF1xpMGfJHnjE5PIG0q1fNoqMWys7WY75LV1i2bYuc8Mi6DqD4ZEvmwx7ireDx2bFTCXT2r/e0uPmC6hQpAuOVKFfEp9o1rDbUo0mZyS4sgBnHDqaDRv2Qr+ulobcO3UADaBa1mNbU4Hfvh0Dt56/gkMHXE8A+HcKiwAtuE2rlpyFeCJ2O3ceII24Dq6rf8DN3Ljsw3gNgC21b3cEmNuWMRtPE0semy9RZhv4/bb70C3bl1Z+FeP7t0VhMUHtLo6nyEj6S3sPzJvx2HNjpdU1q7E9KRR7oEsk3L+M96x+Exy4+aN61F+uAwH9u35RyA7Vrsyj6Errv9PSj3ns75ZyqPN0yKLHxqDnmxgVqs2r8nJSUhLSUZxRbXB88RCntTqcqJ7bhbWHangVm61gQrjqCRTXBmqRD9nBtogBQkRF5wRB9o6UnGiIw+DkIlvA6WY5y9DZTCEmlAYNQS2g2H4/CEE6qgGEfAF4fCHcUxBHr7ZtJPn8qZUuIEgbjvtaPRt35JZw4nPSFU40WfZF6ypbFUPWCsOicSwZkvQLeUa+uy1hC78J2RoGUkUo02kEJLJOMIC2jlzrUKORgpLAtSOCEJObrXObtoC+7ZtZJY0jyuRg2wn98enAWvEqNNwx9WXYtOGDejYuTMczOeciz69+/bDpx9/iJVrNyA1LQ1pqSk47fQz8Ov8n3HnXXezAeeUU07BsSNGoLAg33Q3dXJh1/guHj5fpwvLMq2QdBXVYjKlgG3k6OXEaSSAk1swT/XFidGKWrfEFS2b44qxJ7PGsGHnHixatRH3vf0lisuOwEPa5xaFaN8sHy3yslktyEpDenKipatYCwcotHVf6RGs27kPK7ftxh+rNyMnIw1jhw/ATWefznJqM8Im5qMkJ1uZ6supu4tbLNn1u4ybmu/Y5Gd8v9def50RvZw5ZkxcDOMSZNP3nPw8NG3egt1x9159dY1TBPjsgzlITknF4GHHWizWwiptnMvsDPK37Olazy9Ai3zq3jgnEQa0DXYfy/DHziHaHHtmjEqbKygUy2NUii86DpGtZLdBYPN3CFYVw5vZjAEGV0o+fHuXwZvbFtXbFqL95a8iIS2d/ZQs2k0HnGS65yot6e0nH8Kjs96Nuv6ammo2oMrrtU7EHGgHo7ShBuiW4FqwWnCyfzYYSJpXngJQsXBbcxubExudVzwnBWQzAEp9zyGZMwSVmspATucWfcPpdGHKJWfhgZlz8NztV/HnLQQqlt9A3gcjspHTJbcBs+nBliCNiUWCGkeobA3LvLSFatOxuB25XiekilkMJYd55oK8XLRs3ox97te3t9JW+OKd9+YwdnHTqqE3ReK1uP/+B/DG7NniUgSUlK9JXqEVCIlt1nQ1sUpOKo/RZs3d5UEo4IPLlSiSy1jSeVks2mlZOTisxmjLPilKUVFbLPj9V6zfsIHFj4mGxbTT+dkZWLx6I9bNuBtJpICrqkVxVS1ykwj4m6lAGDuyUPAeCPkw1JWFao0jxIQ+8QY80OutjYSQ7nQZIJvABREGkkV7eUUFBhTkwJ3ggcvrgsuwaHOgvbu0AgXZmUhMShLjtGnV1sJxbM8dvV5ts/Kz3bu1/kYCDivAtd05+mP9z0gsoyy2bIW1EerdRb4TNoI4iOQoH83EvNCjTz9jZ/n387liXjhmRFzXxe6ZBCVvAgJ+QbJXT0mmeTWOwmK0VTBoQXyqwM6ejRK+wId/Pg9kpqejvIJSdplj7uih/XD+QzOwfs9BdGqay8G2GBP6d2iFDxeuxMZZ9yGNCNFUDwmnE1v3HkCb5k3UJxD1Jk22YptnZlx7BFvWr8GOrz7D+dfczJWsyjvj5LhyVOT3xMEsfx4/ff4hDu7ZhStvuZP3GRG7bbiYa4RoFqu2ta2aj015r+pbVq7f+GNtc2IGoDHJQpAGMerLbfSd5yxQZAjDH0yusw9DUa/Vyh6uWde1ao5JqvhFqR/LyjiJHiliTUUtv7933/+AxbwfN/wY+znm/yA+mwopUf7xORpYO3LUabj96kuY5bpdx07aVhofvvnsY/z89xokp5AHyP8GZP+/KrbnFmIX631E+uoAmjVrhj1797KMKPImTPJeIfeHVas2N8KdMaw/87a64ljpEUsKYlIgu4xlXmoyyvx+w8iiXIbhiUxge1u4BqciH0HG1i+bIB8fkhxunIQ8ts9bvv0Y7y1ADtzs2gm+eggbumk+JZLqEE5v2gS3LV+N07u0EmA7hLysdLTI4elTa2rJ4KCm/QLe+eBjpKamMBmpvKo2StQy+q6lbxjOlIbntrRqqx7b5DYef0NoFOs4CV8msOHsvQ4aiaiwkSrCmH0pJYJhvRDWg8PFB7D4x28x/JTRcAuQ7RJAfOhxo1j87dx338TdDz4mBHgO6nv3H8A0WFu2bWOu4/Q70uYeM+I4DD/2OOZ2/sMPP+CuyZOZS03r1q0xeNBADBowAK1ateRplxgoEnl62ZM04yrtgDcD06rlS7j+mmBbWh5JQArB4eKpvlR3VZcnjK4d26NL+7a4bMxJbD1pVjbt3Iutew6wmKp5yzfgQFk5YzWXpCxqh7IKnlSa5GShS1Fz9O/SHtePPwWJiZTSQ80b7rCAbBG3JXJr2rmLNz4u255h/Meffsbvvy/ArNdesyc7s3hC6Pm0+b7L/lyKlq1a81RvCsgOhoL45P13MWr0WCSlpOogW4u/1i3bmtdFDIAtS6InvsmhMCcDXo/HyN/HmpQ4IM/hzKUPbqgkkMeFKC7ImAOBFGwM+ZPyy2cVIeBOQmDfSngyONBypeUjrdtpFJDN2lig/ABScjnDJil5Nnz0DJre8qR2japgog4H9Lm6qoqlSLKdeB0O5GZl4lA55fM2BT0miAlLisFMKfMyMmI1gUKNAZULZqrEqZJncGUDF9T4S+HCt0hKppg4ldzaxggp034JNnBRh3TvgNe+/AlrtmxHt/ZtxP3QIEWWbYWkTUEgJtgWwF4D2/K+FLBtPl3O2K2lYJLM69bPcRQbIXfJn3+hqHUr5JGbnGhTdLxQKIQ333kX48eOYYpHnjrDfGTMha51awZI9+zZg2YGE6qALxaco12G2BaP27h0HScjLnHwtztrEgPbyivRiEPUsCL6nJ7XBC06dNFChVTlWpduXbFm9Sq88ebbeOL+u43x0ev1ICcznXldbN9fin6FGaiL1OBAVTXyExNFuIYCtBnI9iOT3MaZECAVc/EDR7kv1VAkDA9MC55LgmwSRDxOfLPzAG4e0I0pPolTgyql42L8Gm4P5vy2CBOOP9ogquJkaILkSqlmu2oEvGUZDOLaM3pgsNsnzkKp5siLor7c1LLrxbo+icHt+syyv/i8QKneSJ6QhfrCp2JeILBN7zbeMuSk05GUrDIz25fUOBjHqVB70Em79Bhb+UCjnr0AacZ6RanNxlaHE6cd1Q+5GamY/cMiPH7paMWAAAzo1Jr3hYNlGNytvZFNhHuuubBs43b06txO95awnD0jPR1HKo6gma4bMCy7BIDDDgeOP/l0PPnQFDxx1804ccx4dO83iLV9U2CVcIQfYNv6Nfjjp+8YX8nEW+5i1m1pwZYEaAaZoAShMcjP1OdoD4wawQ1iAduyTcr5W4JtKX+Z0xSfx0WmSpFxRygVbayLVsBmKi0sLuMWF3GtGVjeye+//YYWLVpwQkyFfDMUCuLNd9/H+DFnINVQpOO/LRTjH0f5t2Ro9Y0jx554MsMLn7z3Fm5/4FFtW6++/Rm79K7t29GHGPL/Y5BtbWD/55i7nklL1SENGzYM8+f/igvOO0cB2Ly18VzaUoaXni8cVJ80pC/Om/IUrjh+kGHF5t5Ygl+ExW0L4lHCRCJ+2xgrlEfkEucNW2TtsCIetXWkINfhxQf+g5iAAjgpHAthBrYRCMHpD8FdF0RCohu9SLm+6yCGpaUYlu0lG3egqAknClZBNusLc+Zi/JgzmUGCGTq9XmEIUx6Y4lFr5QgzXcXVlMGmBy09g/8caNNA2CQ9EbvLSTMghWGSYznA5k+QHrq44LCDWa0l4B5w4mi8N20Khp58hgmyyXXcEYHH48XJYyfgiw/fx81334dkih8lRmtEsHLFSvayfpo3D/0GDuLpFgjIi06Qnp2LcWefi/Fnn8sGnV27dmLp4sV45vkXsXPnDsY217lzZ/Tq2QO9e/ZkQJwTLquCux5ryUC0Crqd6tJMD2bk5SbALWM/JeBWXUrFMsHjRbfOHdCNmGZVaVQlftJ6jvJds3JIrZrpCsJbuGQItABsmnQVVzOru3jccdkSyEeBbCfWrl2H559/Hu/OeV9jGNdcmm0Bt77tl3k/sHi8rcQ83q69AYz/mP8zcwU685wLY4Jszd1DEqNpab1MgK11NlFSE+LrDiRYdG3XDMvX81hJqcXXBkAJptlfag98Zlb0ZsbIKHES98RwwZ3XCYGDaxHpeDzxFrP1las/R0JOEftl5c7lyGzXk72KUF0VPMlpinbcdM8+/aIr9eYjPlO6AwJoXLjQngYrZP344uctpuXZYK+U303lClOKsRzVcrtpadLaqgXxc4O/tGCbUgsH1ApwVavoJyxfudFv6bf8O73r+y+fgBuffh2fTJ/McS4D5AweiZSAok3LY4rUaobKw2rZZvvy9GIm2FZviDMN83drB7jjLdE7f/vDPJSUHMKmzZvRoT2NGXz9jz//jD179uKSC8/nykKp1JHjg2hQl1x6Cd54/TXcc+99xg1FbMC2HRiK1yJBwnLb/FRsOliFmuLdqCvZiaaDT9EJ0AQ3h0mYyT+7ExKQ37xVlFuW7K/5+QUYOXIk3pvzPh6++1YkiStMSkjE/pIydrs/rtyIfgUDGKg+UFGDgqREI7cn5eHkFu0I1gVq0NaZZOQFluKp/XtQ258CHMRyN+rQ1pVoxp4S0Cbtu9uJ6gjFnIXQLDMVTq8bLq+bLVkly6jbhV9XbcIdl57DXMjNGG01NEeR7jTlVGyro8DYxmfjyqW+yv4nMUtjBMhXX30Vn3/+OVPskGv7mWeeiXHjxpnHMtqeoueKcq2o/xw///CDEafdqi2FUvAi54Wx51Ce+8YV8oIhZnvpTxar5CRzr42GCo0zxE7uCyoEazZuwvo4qN646SWTmpKEyppapJIWy+lEQqIX5x43BO/O+wMPXnQaEkSGFiort+9jxyfF/eAenQTINl1CF67agIvGnCzamPWq+TGaFhbiwP796NKtu2FFla7VRjwyfXG7MOn+R7F5w3r8tfB3dO3VBw/fdh1S0zOYwSQ9K5vlkz5yuBQ33vsIdm5ajwFHDUOPPv2Zaz2PY1ZjmmPEZWvNX7EiWp5jYwA2t7IrHcIc5IUxRk2Rx8G2HNMlkObcDur4YAJ206FLN48Y12hxIVeVGZpSxgK41aNQ2bZ9Owuf2bx5Ezq0a2sIUj/+PB+79+7DpReco1yfWv99cVBYZbx9we1ETZCZ5P6zQsfyJiTgtLPOxhcfzsFNd9/HvsuybvUqdu4F838ygPZ/BbKt2N96X/9rS7dVeRPbsg2MOPZY3H3nnbjg/HNFe7YbkOScw8eLiMuFlJRkZGekYm9ZBZqkJDCQHZH8IhJou5xom5GGHbW1KHKI9JVKCCGXHEzuk4jlMuV6KcNnwoNjnNkMbJ/jKICbwHYoAiel9PKHEKRwFF8QpzYtxKwNO3B0h5Y8TjsQwvfL1uNQRTVaFNZp3pnzfv2D9YVLLjiXjZM1tbVISU42jXpqz4gC26IqodCSy0kNUyWC8HhLo/w7WmZS2iEJpM1UXZLcTCU4kwIV205uWimpuOKBp1F55IgZny3juCMRnD7hAhZX8e7rs1Dr8zG/+2emPYY7broW+QWFWLliueECyGjg2RIGJTw7Fhxo3rI1xk44B48/+TQ++PhTvPnOexg9diwqq2vw/IyXMXb8BIw75zw8NPUJ/Pz7QtQRBhLx2qgnlpt/NrczMjURx20QpimkafyzjMVWtqmEZzJmm8VkR5OhsWqNzxYx25w9XebIJG2UIEajJUvrIVN+mYzkGru4DflZVFy2avGOyq9t/v7AwWLcOmkSXpn1KhITkzRLdtg2LtomNgJAxZEj2Lt7J0t9cvZpx+PvJYtZlyDys7dmzkCHzl3RtWfvuEG2akUz3MmVziJz5cl/5LURb+nbuZU2cEQhSVY4GDTI0axM04Z1WycBc+d3BYK18O/+i7OWA6jbtwZlC1+FKzkLdQe3GuDV5U5AyyGnRgsocDA3PYt+hm2rqqpiWj5T0aReswNFLZpg296DWty1NZe6BOBcgaMPtHwbP5bmOm4ViMR70JROYj1b2GtlDMWVkbfe2B5Gi/xs9OvUFp/9ski8aBmnbR+rLU9Sf8y2ELGi4rhVTxhu19DJ0BrPPC4rkT/u3LWbvafhJ56KhYuWsP1KSkrw3IyX0b1rF/Tr00t/boq3BJWhRx+NJUuXmmybVsHUxmVRtmQS5OItnQrT2WkTc5rgyJZlhkLJ7JdKRgolbppez1dvzNCJRmS8PiKMIJMyTpSWleHl196EPxBgx33m7Q+xZM0mFGZnYvm2vcb7319ZgzxyHZes/IzBlM8xm4I1aOlI5PORzeRvfnfYso7Lfagdb4/UoLMrRYlJdbIlWbN/LCnBqNbNzNhsj1tYtnldsnk3BnRpz7JJGOmXaGxWeTCkAhXRIQoVFRVIT+O5k+2L7Gcm+ZLte65HKGyMvPjxxx9jxYoV+PKLL/DF559j1syZmDdvHn755ZeYx7Vrc/WViooj2MPmhTScdfJxbF6gUsbmhRfRoUtXlk6psWXN0j9Qsm93g/vlpMQHtKkkeV3RwMn4rIyL5EGVmAifj+IIo4Xgtq1aYAux6ivK7ktOHs7SfL3y9QKWEofWPfrB97jmxQ9QmJWBZVv3mJ5swu2zui7AWHnT09O5It7uiVNu+iYF2LdvnwEwTNdmYWVWrNDU7jt27oJzLr0SacnJuP/JFzDxpkmMX6V9hw648e778NRr76KoqA3OGHc2BgwaguQEDwPaasy2yixugG3lOVlBttZujGess3XXV3k/sJKS6fOmqVzggEH9Lp+L7T5RLu+0jVc1HtyMC4+2Xuvzt7UN8UqyUG1tLVLTUjH8uJP4vMDIz0rw3Esz0b1rZ/Tr3ct4r9ryPygkmzamL6jhbP/63MrnMedeyPDCnNmzmLKMzjPjyam499brkVdQiHUrLVk3/ofu4pqM9b8q6kOs94FyT0FSUh8qLWXzLZtDNP4PnpRPpv4yjHEiG8H4kUPw4YLlwuPKtGg7yGNLpPuijBpbqqrF0MTlP9MrRWl69VxrWLiYU97tjIgHwxxZ+MB3EFXBMCNJo3htPwFtIkarCyHf7UWVL4CyylqEgkGWhnZXyWGkJiVg0eqN+P2vVeyEJYfK8Nys2ejepTP6sZSFQHV1NZIk0FbD2cQz0/CrxZptfjazE5Gckp7wP7BoU2mZlYzwtlKOztVYbdWyzeKzHSzO2ims1pIIraysBB88dT8mPT0LLhafzSu9mBZtO+DYUadh+oNT8Moz09C2Qyes+Gspbrn7Xrhdbjw3/TFU19QiMSnR0PpJUUjXFHLtpPHd5Ubnrj3QuVtPTDiPD3R+nw9rVq3CH3/8judfeBGJCQk4/rjjcOoppyA3JwsOslzL1D00aUkrNlsqsd9Wa7dhEbe6oJvgwJ6VWI0tUFGGjVVbK3J0EJZFC1g23cntAbK+jjqjcCm3sVhrlm1m8uM9qqamFldMnIinnnoauXl5USRIaoNWLczWNF9Uf//1ZxZzP+u9j/HIlDtxyfjT0aN3XyxbygWrR557xXDTisuSbbViK27qsZj14y19urQGPvnNfA/x+PbEKuwnHFwwsTo5G67cDqjbPA++7b/DlVaAUOVBZPQZz1xQD//9IcKhAJwOL/wVxfASqZ6FBZba1NKfv8WZZ58fJWBXVlYijQQvu+KgGME0lFdWWbwaTHAtzR3cEm26UMt1TLNPciC9CM0iF+ezYEsR2254fCju47DrPyJeHGHcfM6pGD3pcca8z9jVWaugaw+LOEjqr4pnuGjXzGItrd0SgEsrNrtH/gMZT8+tF1ZRyKFbuKPuPb6H8dMvv7K+8MVH7+HWO6ew/Kz9+/bGwsVL2fY3XnnRsLXwUU+4bhrjIj/3ySefjG+/+RqnnzGa720YEk3Ltl13IK+NeEunJun4fMVeeJIykJjXUtEh2TGOq/01gqS0dFRUlCM5N0dThtGyoEkT7N+9E6NPPx133PsgHp3+NDq3K8LiZavQoVUzXHjcEDzy9meoEyEc5XU+ZHm9iJByW4JtcU4fwkhwuODnI04U4Ih+KyrM5p/42w+jCiHku7zwMqAtXcZdbLmotAxP92wv4rI5uHYobuPv/vInbr1gtBBquMu4Hpetg2ztwhzAr7/9jgEDbLIJ1CPQsFdsa41pwBIYfXqt1NTU4PXXX2cgW7p6kmLoqaeewoQJE3DMMceIsBLFjBHr+sxWbH4XnhoL5v/C+sLsuR/jgbvuwIVnnYaeffrh7yWL2O+nPj/TDNlpRKFxk5EJ2t63ebx4LdpUyKJdUasCxWjlhnyONDbV1dUhxZNieRoO1s7XbtmBXu1aGN5pnYuaY/TQvrjz1Y/w2Jyv0alFEyzZsA0PXHQGyzX/yLtfsTy1SVJ543Lj7hmzccP5YzQFu6nQMUurli3x5/KvzCtQ3Lhd3MwrQgNZkkEWKcjncgfcKSlIY+SaNo9SidGOykkt8kmrxGJajmlFtlOVRYbMYycSAf8odIGuQQ0OsgksEkovq0XMXFcvttVAtWq91kFfQ1qozz77jC0//+Rj3Hb7HRh1xhj079sHCxdzwD37peeVvvAfImx5eWRcirMke91ANRFR2Y24/660ad8Rx59yOqY/MAWvPD0Nbdp3wsq/l+Kmu+5lLs4zpk+F31fH+pj6KP8JyLZeeGPuo7H3rCtBzeu0+llFr40+Z89evbB85Ur07dXT8NzgbuOqRVvBAULxe+yAnnj+w29x0+nDuUVbWLN5mkqqDnTMzsB7+w/BmZkLJymZGdCWqfk49wJzDuRRwKjvmqmpUuhZpsPLyEr/ClTgaGcGS/cVCIYRDIQQYjWMYYV5+G37PpyVn4X527czWeKTe67BmEdexqjrpmBgz674YxlPbTZ7xjMcA8GBssOHkZmVZWIBzfBnXZppqKWhWBqQGYlqJILS4oPwtiBjFfez+08t2q2zky1sbCbgkam7pOWCW63DhsWaanpuAXKbtcCqJX8olugwgiG+fOjFN/Dud7/j7EuvgsvtxmPPv4Irrr8VQ0eewFjJCRgHmBVbt2QHRS62QIjnb2MvSCxJ8+tX1tF3sgj36NsP1954M9774EM889wLSEhKxo233IIJ556PN9/7AOVVNUbKMG7ptlq9pWXbGyN1mMjXbVi/VTZzmcdbVjWft1I9FiZyw6Itq5nqS+YIJ0ZyNa82z5cpPwvCHWnRVqzaBsjW2G+tuVx19nHyOrjq6qtxyy23omOnTjrAVkC25nIRA2TT/r/Om4f2HTujY9fumDXnY4w55wIWjz1l6tP4cdkGnHTGWf8JyI7Sc0SAJLerUSkp+nYpUocKW4tY/MVi0SUhrPPpSB04EQmtBzNhNaPfecjsNRqpRf0QCfpRvWs1GzAPb1kOX2UZZz4VlYSGyrISZOdRzIt+XTR0V1dVIi0tRmyisFJTyIU/RIBUSSWjgGyDEM1iNmB5FxlngCktNW6KlcBagFXN2m2CbvO7lYE8gkSPG5eceixmzP3awljOLductdzGwi14HKwKMCsbuW0KMOs1GRZuO4bxhut3835Cl04d0aNrF3z10RxcfP45jOTm+Scfx471KzFh7BhdKadatRWHrfPOPRfvvfee+XrFHw1oKa+HW3XiS+0lS+em3KJNvaCg3yj4jhzS3MZNRZvuOk599Ywrb4XHm2Abo00EWJTK6u233sTSX3/EdZdfDI/bgzemTkb7ls1w0sCejIl54eZd7Aek7U5xCyuKEqNNcwvdDVPu2/LTRZsLrCKqtEZtilSjlzuNMyqTJZsRtvBaEQkhyeNGcpJHSetlgm1KY7K/7AjatyLwZLKNG0KPGGOjzXDm588++xSjx9C7V664XnnaEUN+14V7u7ftiMNl/NJLL2UgTy0Etsnl/4svvmjgCJZzqQKvAqZ+nvc9OnTqjM5du2P23E8x7twLkJySgvunPY1fV27CyWeehX9SThh/Adp37x11JSogSk9wx50rVQJt3VIZ7VUgS0JCAnw+v3Lz5pjZs3MHrNq0VQkH41anOfddj6WvPIBrR4+Ex+PG67dfhtvPPQ2jBvdGrc+PBau3MC82mu9/WLKCjeMjj+ov8uEq87zWEiJo17YIW7duMUMCDRBsVpkv2prKy2NhGbdW5vUh9pWu4vJYfN6KJj8zrMiqIUU1plgAUTxVb2cWS7hhobZan0XcvWa5tqb5MvezbjOVCqbyQl67livbuEcLr4rxgb+X7777Dnm5uejRvRu++uQjXHzBeWJemIad61Zgwtgz/mcgm9LmxpPaS5YUwW1gzAP/0WXI5/XkzDfx8Y8LcN5lV7G+MPX5VzDxhltwzHEnoq6uFn8uWmD+4B+CbKudwDom1mvp/qc3J88dz/5WzY6Yh+nrsKHDsOD3BQJjqxorPRTQtGhzTxhvYhLaNivEpv2HDOZxDrJNwN0iPRV7amoZ6JaVs+9zPgfq64kOJ8gf0xnT1mLOtTQ3k5dyZ6RiRagSNQyzhRFkQDuMUDDMwHa/rEws3nuQkaH9uG47OjXNQ/dWTXDxqGE4degApCYn4cWHJ2PX8t8xYcxoQdQLFB88yEg1VTuOSZpsSeelZMZSvfF42BnHsgu+nIvsjBjGqn9r0W6WkcgGSOm6S3fAcpeyUUjegYMTknDiby3NFzGRn3zxtYgEfOwhSu0mE3DFMYo6dkH7zl0FsQh/+K3bd2Rs1D/P+wFDhh+nazq1DqRbuO06kXWQo2VKRiZGj5uAMeMmsPjV7775ChOvuoZpwyZMGI+TTqBUFARU9ZQ+DqdM3cQt16al2yaFkPrdAFYiUpCbzCzbVFfaOIYoJU5bn9kt7OGGNdrGJdwCpKUGTO6vAXA4MeWeu3H88Sdg2DHHGIJ2lKev0qjtQLZsS5Sk/ref5+H0syaw9Z6EBEx5dLpN7EQ0yJau6BopWhTIVmO1/501mwrFaHs9bkGIpmgexbs0B+DYwyWPsbO4JYmLowmZLNnenFaIVBcjeHgne+4JOS3hSc/HkS1L0aTHYNSW7EHL3kdp+UxJcMkqaIKrpjymCXvyNFWVVWxyjm5DpmDfuU0rbNi5jw1iEnyrbYF7S3Awo7mXGwzd/4ydU3YBDkql+UHtF2oDk5ZuhYFcXP/4kYNw+u2P4/yThyOfcosyJT952tBFkf7Uqj2WZj/Fii1N3ozJ0xRB47Jus0NFa2+FwbneQta7H376GeeOH8ueQ6LXi+emcdIX00oujs0s/9Ct2gq4ysrKQnZ2NrZt24o2bdoa912fZbuxjLFt81KZsE0TUc2h3ajatQatT+BcCqo1W5/I+OfK8jKs3bMdR404zmD3lG+8eYsW2LV7N3to3bp1Q89ObeG44QqgphwffvUDOrduhpZ5Wfhh9VYMPjYbVf4Akl1u+CMBAbb5ucvDQaTCragfosSlqM8aMaWcOyIRbHZU4xJXU2bN5iCCp/Qit/FF5WU4plk+B9husnBLl3Fu0f5y8VqcPqy/Hput8WHI+GzpRaRbtysrq1BRUYnCwkLRXs2rrr9JRXdEHdDWX+x2CQaDTOj/+ituBbWWiRMn4txzz8UZo7knRTxFNkF1Scr6+T/Nw5njz2bfCZze//hTUXlN/0lZv2wJ3N4EdOl/VNRFyH6a2wi3cSqJ1BYMUGWRUeRn8YViS8mirZ+cLzu0aYXNO/eIcVd4qDGFRgQ92rVG9zYtjYPR2NSlbSu0LMzFt0tX4YRhA1nc4lPvfIbPnn/YyKutcgHwsdw8c0pyCqqrKZWeIieJ5C+SM4CNsMKTUdLcxLTgKnekEYBJ+UuxXGsg225/cSAJRNVn2JgpRmtfrD/Lg9hbstVC1xsV22mxcKvPwYzt1o+qKlyscqzd9aqFQqAWLVqI3r24coj6wrPTp0Urfq0n/n9gzaaSSEon9VJE1iLHv74QvqA207FLN3Tq2k1Z7UD7jp3QtHlL/PrjDxg2QuCFekC2dSxUQXbMS2jgJv7dPcbxjIR4ZGchlqLHwEGD8MYbr+OG669T5BLVmq3Ic0q4CS3HjhyCTxeuwB1nDtdyasvq8ZBnq3Qbpxzb5FYuwTavzRwJOIg6NI8k1TvXGvNyhKfK7OJMxZLAEYx0ZTGLNnlIkzU7HAijIC2RhYgFA0H8vHEnxg/uyQwnLfJz0LdHN4w+5UQgOR0Rb7Ihk9GxDxYXo39RW34+CauEtGqm87Kml1awq5hntm9ah40r/sbEm25r1BttlERFQkXTjEQ95k5enBGXrVYOtA3LdTiMhJR07Nm6Gd+8+5oGwgOW/QiIS6s0JT8fdtxJmPf1l/AFgqbVWlquhfbD/Kws2WeLpVu1fluOlZSahrHjz8Gb772PRx5/HJu2bMHpZ47BnVPuxdqNmxFyuBAmdz+XG2Ejf7eXaftk7m76HoQTm3fvN3J8U+w03+7R1sEphS71u1rdNt9jVGm9lpZruLBm03b4AuQSK5htFbI0e5BNVW4Xv5G/U0iwXn39dTbQn3v++dHAOeq7wjAuQa8FN/395xKUFB/E8ONHadtVC3UsS7YE2aolW7Wkm5ZuVacR0WpjiA2oEMju1o6zgqtFJJUy4yrrm/C49G49gOFOJoXsYMVBeDKaiFg5J9LbDUD5+oUUZYPOZ16NjMLmAmCbdeHXH2PdX4vNuBnlkMTg7iEvCE3Va56fdureoQirtxK4j3Y1Yt+llVuVlqRVW2juDc+HcATbDpXbINs4i9W6rQFvi8VbrKfz333RWEyd/REXhcJhrNm8nedUVKzVXCmmWqKtMdbKMbXvuhXbPiREUaZZr7mehrFo6Z+M9+CUE09o+LkYn2NZtSO45JJL8Nabb0YpHs3vKuNx4+KzqXjcTrTJpUwAQHqLbqjYtkp5POokZvF6IsIhTwKLlTUnM7MfJ5LwX1VlTsRKjJnkBzipTxd8tWITt17TiCdQjmS4NyxgFoHWal+xfxsmLCcBYJezFm2cycxqnuB0wOt2MIHDLVJ4/V5SihGtmnALgJrSS1gKvlqyCqcd3R9b9x6MIqWM8iISL0N1YJ/2xBPMgyhK52Tzzq2eDbJw2SyCdWvXwq/l2lW2x1EOHjyI9u3asfHIrpBVm6ypVqDZ2N7/19LFzBpx3Imj8F+X2uoqlB8qrnefxriNU6F2l+Ax03xF9TmlJHi9IsdrtPeC2+NhfYXGTmuqTuniKSv/7sUpR/XD578tRfGRKlx471N46o5rkUxcHCQTKGFhhheFBjMIuHmZ5yDrYQoAZlYqlu9a+cyWplAdsypWLtWazVxKQ0Hs3L7VjHW2jY0WLuwi1tnOJd/iVFV/tfyO+sL6tWtZnK+uDIhWDlhju+3SkMm5Vs+7rUyP6rmt1myLQtxoM2Ld4sWLcfhwOXrLGOz/40JelY0p9FzIw0MWOU79Ex1AfOOGKXuMOOEkzPvmS4Sl4qEeS7bY3CDxWbxj1z8B2aS43L5ta/07WRVbNtZsthBL4jqi8YVCfFRQbYZ+mvMOYQGaa9Zs3QV/KIyjenTGn5t2aNZucslngFqA7eapydjrr+OKZpF5g3mxOMBqV3cKNkaqWX+XCpfoWVf3JqNvnZCCLeEaQ8bnPGACU4YiSHA5sWjnfhRX1eCE7m2ZDNcsNxN7iw9ZXoD5xnfv2o1mLVoabuwGHtAwhOomzuPH+fklyF6PN6c9gL4jTkJmUuPmhUYnu2tFcdoWArQosK36txN4FkBWunm37zcEa/9ciK0b1irgWgXB0t1bAO5QGCeccRaKD+zDogW/s4aguoTT5yjwrYFq5bPNNnYc4VauAvOs3Hxcec31+OjTz3HGmWPw0sszMfqs8Xj9rXdxpLrOANZwmaRp/LuXuTtfPWkKPvthvuJuLkG5HfB2K1UCeOm6zonNokG3BYArIJvqZz/+hlsfeQp3Pv6s4gLMYwJN4E2u5LxGx3GZE7N0OaP183/9Db/++ism33OvaYVqAGQb7hlqqi1h1aXlFx99wLSQvQcMNBu+st1M31W/u7gcaKzWM/ndJEAzgTzVjEZatKn06dzaMuLFVnVq04thtWU/sNF7q2RGDniymiOhoKNBOpHVdQQClYdQvnU51n/0LHObYoRMEmhTWpV1K1HYooUusCiaUvMqNdHDGJC7ty/C6i07zbyLEmQrIQeyrXC3RDtXcn7IR77+Hbe8Pw/friIm80Y/Zu0pSpShu5SLbRaQO6RHR+w/VIbtew/i818WY9KTs3Dn068qx4jh+i1tFf8UbKvbrNcVS0mg1PfmfoxWLZpjyIB+lnuM9VhUW63qssE/DxjQH38vW8YIRBoC245GxmercdrsnTidaDP6JmaV5zHSAlwrc4MRThSOILd5EWprqvlkpipuRX+myZ3ndOdWXtPSyy92/NF9sb+8Egt37hNxloqrrrjBVKcTNRGiQFPvXe13VtozvfC+E8GqSCWGeTKQ6HQgweVg5E7cddyFKkeYgc7MlESN/IyTyLhREwiyeevpuV/j6kdfxBdE1mfEZ1szPShV3MiRigqsXLUKI48dqYyduvAaG2LrdvyvvvoCd915B+6dPFm7z8Z0TQLalNM3VqG0W1YQ/k88XD6e+wGat2iJ/gNNBuH/qmTlFjBlzn8JtKlQGJKWWlGMvdZC6WYCqrLD2JmPuccO6Y8vfl3EhFojk4hhdeIx/5IEleq5o0Zgb0kZTrnhATwx6Wp070ypvkwSVK44t4aEyRJBrx49sHrVKgU0CsIyEY6ku32rAJxcRe2rwSoujsFd0PlvHn/oAUy68Xp899WXBkDSpg6RV9x0zxYgVuxTXV2FH3+ch/vuvRcXnH8+zho7ltVxZ53F6kUXXoiZr7zC2NSjQLnSF4id+b57eJaKeMC2bn039+Uu5hbQrVQdcOtgzmq9V4tc9/777zO38TZFatja/11prEWbSrIlNZ5UvjYGbMczbFiVE6eNHY+D+/dh6R+/ayDZCrIdcYJs7XsMEN4YMG4tUx+6H5Nuuh7ffv1lzH30MV8d5/XxX26jctzxx2PeTz9xycAITxJKXAtP0+c/LcBt017CXc+/CbeX0jk72ZzFrdgCbBspv5wY2CQHy44cgdPtYN+NUBJR81xeJMCJQ/Apz1i9SvnEVNmYXM2dzJPZjI82lfOUTaR5SjLmrN6M5hmpGNC6GZPjWuRmY/eBEnOmM14SP+O+/ftQ2KSJwB9mBgEJujleVVNSK0vyvKusgNPlwTWPvYCUzGxkJ3n+x0Cb4rQFyDYYxxUBiWseRJYrhV2cx2HzSvtdPGUa3AmJjA3OiLUWQNcvLdoCBBMA7tCzD5q1KsJXn8wV4DpsAG4TPIeN/W1BuK21Oxp8GzHdAnQHIw50790X055+Fm++/S4SklNw6eVX4MprrsOSv1cgZIBlDopp2b17d/gCIRQVFZmWbgbCTYu2Ztm2tWZLQC6BeGyLdsRJ2wVodtB3Fzq0bcPyaw7q21sIdTI+2wTjKgGabbovyz4bNm7C9OlP4oUZL4k0Xmi8Jdsy4PrqfPjui09x6phx3FXOst3UQkXqZxcXLiCGS4iBXUxlgFq5AoDvn9FIizaVPl1a2Y+sqrbUGGDUWZVXMyGUdZs+Qwcr9sOdnGEA2ZTmnZCQ3RT7Fn0Gb0q6kWaI5fIVYDuvSXM0a9HKiBkz5HahvLC9cMXK0VGy3qoAXLHCcWAtLIvGZ/P6TcHJga7N8hEIhdAyJyPOJ2udLuRXG/dxC2O7Hr8dwZRLxuGR195Hh5ZNGWAbSOlv1P25hlAJ4zAB9j8H2zYgO+oe7K3axEL88edf4eyzzrQAlViiic2xFZOndPc8gSbcH36wFTRUsE21sRZtKp2apJnkY+Ew9v3xqUKApsQ8ifFfzg00Bp11/d2cz0Nx3ZJjSOs2bbB12w7hMq+4vIlr7d+hJYryMvHJyk3suomsTFq0peDudToZs2m0EMu/SBdQ83mqggCfJBejHIPcGUhzuxnIZhZtik0loO114vfSMoxsWWjGZgu2VskqPm/FJpzQvzt6tC+CPxhC6xZNTeWnRbmps4/zK3nn3Xdx8cUXW0C2bP+xjdl2raZD+w4IBAMYMHCg5UnEX4qLi1lIQqyyZcsWlusX/0IApb7w1Wef4sxx42Nazv9Nad+zD7r2H/KfA23pMlsfeKLi9Xp5jDYrqnaIv/9Lx52OmXO/ZJw0mlXbsGSTAp5SxvEsI3WhMJISvOhY1BI9unRQQhRM4j2dDE0VSIF+fftg6Z9/cjCrEJVp1mjVQh2PRVsF1wJgyzmpa/fuLCMCS7lqZea2xDmrYPWPBQswftw4XDlxIjZs2IAxZ56JV2fNwicff8zqxx99xOqMF19EYUEBpkyZwgD4qlWrdMCt9oUBg6LZyGOBbRVwK9Z/UwmggG6lav+s56nXVdnB2sknn3yCo4cOxf+rEm9qryhCNNsSH9huzLihjjO9+vRDy9ZF+OKjuUYb/ycgWzu+3l0afX31FUqrR14VLVu2bnhniy7dujSUrxHg9NNOwxdffGmEJKmWbXPJa4c2rZmcNrBnFzZe9OnUBn9v3WNYtFkVIJvmtwFNcrHscDn7ztJbSou2rA4HjvFkYVGknMtNxhOLUl0YSzl1ZTg8KA0HBTO5atEOo1lSEn7dsR+ju7XlIYbhMFrmZ2HXAemd5Ih6YUzxS/jI4hkr51EVbKtEaHTOw2WlePLmK5DTtAVSM7PZvtmNnBcaPXu1y02xIbXR3cilJiJoJUVTgHdieibS8wox7cZLsX3zRgasNYAdisBH64JhvgxFMPL0sfjlmy8YI7JP0L/XBUOoC4RRS5TwAfGdVb7dx2pILMWxghKoq1Zsk1RNVQqYlbtxeRKTWCz3ux98iFsn3YFPPvscp51+Bl6a9RrKjlQi5HAj7HTh7LPPxvwfvkX3nr0UkO2NAt18nQV8G+RlCrAWn+V2a40mPnMzMqUfP3ob40afqlis3YoV2yRZ0Szbivu4Gt+9cNEi3HrrbZg5axaSk1Pidhe3WrKt+a3n//QDjpSX45Qx45TfqOzkJoDWtHhiG6JAvN6JVE0gA9fGPnxISvE2jghNloE92rElZ9828ZQxjNhYIo28qSwO0Dpqm1ZsDmBdQMgPf/FGzW3H5XYhr/dIlG78G026DjSs2bIS2Os9ZBjc9BtVg26MPfxeNQHQmHGk66Kbxz5afdniKMaAKn47rn8XfHPLuejWPN84foPWLYUQTXu48uHFsgzL9YwMK4wuRaTx5DHzP778CMYfP9TMCqCCaxVwK9wK/wxs21m1Y2UW0HXR3/34Mw6Xl+Ocs3TCK/kT02KtIqlYVm+zrdF49MEHH5jvJwbYZm5e/8D02L1FptEfEzILULZuoakdrq9GIpj7zMMo3rfXlouhU+euWLturRmKIYUDKQQ7nRg3sBu+XruNpecrDwTNvJ7MnY0L+4lOJ+ocITb5u4XQrwlcxp1IsZfcxcEA9W5HLRvb+njSuCXb7YTH62Iu4+4EF5xeJ34qLsbxbZrD5fXASdYAtpREaG7M/e1vjBkxBOeefCx+e+sZRnYlO4F2b+p1GB3UgS1bt6JPHz2FlRavaqkqINDUfA6gU+fO+Pa77zH2LJNErDEWJir9+vXDZ59/juKSEu0YVCnueNKkSbjmmmu09Y0tP837HuXlh3HmWRPwvyjb163Gt++9HnM7eTnRu/5HQNvqcmwR1GmNxyNcx9WdDV4UJ9LS03DxmFNw97Ovccu0msqTWbK5y/je0gpc9tBz+OinP3D9BWPx3YKlqPEF9TAyGS5mzSwizwfgqCGDMX/+rzFdo2ORgTkaqHrstQmox0+YgG9/+BHde/QwpxkbrYQ6nxKj/ezZb+C1V2dhznvvsvhTcqVOSiJrqz6eEuHn6NFn4PXXXsXMmTNxxx13MAWRWoy+MO6sKMtkTLBtt00D4SrojlEt4N16v1ZStO+//w6HDx/GqFGjmHeLrs3/PyjuxhGhyZIaE2j/s6IDY/XZmc+DPTeng/H9fPfV56gj12lzrwZBtrUd6OdRruW/uieApR3+4vsf0bV7j3qPa527G7oIsuKWl5dHH0WZNKQSu0v7Nvjprecx/qQRDFSPGtwHXy9dI7xodHJP+pyVmsTScPkoexRZtCmMiuZGl5NxmNBcmefyoK0zGesdVfCKedcsqjSv32MtQkgW87y5O5d3DtTUoiYYxBld23Ai3HAYKQkelsbQDNUz741lq0rkqanVEcI0AJhcYibYFgRt4QheeWASzr3lXqY4p33SvK5GEWRSafQsQim+spN5/JBVKDJya9sKVZJdXABZYv92e3Hlw8/h3WceZQ+DQLVpqeaVgLEEySNOH8fcDL/5ZK4BomlZq4JrA3SH2FIC7jr1WOyzJa7bANlK7LaM7daqua55q9a476GHGXN5VnYOJl51NS6/8mp8/9Mv8BM5k4jXJhdww308Hss2A9OmFdv4TEunvWXbAN2Wz7o7Obd0G27jojJLtzEBmy7kpru4A2+9/Q5emDED786Zg/yCgn/sLh6V4gvAe2/MQo8+/dCmQ6cYIDsaS1ndZAwrtdxfdanRALhMRm/+piC18ZpaKt3bN0fLwv8feVcBZ0XVvp/b272wuzQsS3e3dHeHlKSAhSIgKgoWokgjooRISwgKCAgoISnS3bXUwrK9N/6/c86cmTNz526x+Pl9/wOzM3c6TrzP+7wRSvssHt1QBEG0A5MBkHTHPC2eqsPh4FPoACWTbHvcdXhFlpZAtkHyhTEgoloLONNTkfzwlpTLlwdCMyD22iX88fNaOU+prm+brmJRANtuEnv20TY7REQ0HBjoXVx4dxrTcFk5wXeS8a6WMRZBsZRj2+nEmD4dMIX4amu2qVlwJcihGrznAGzz1IBugFsA9iqwrZS53y5C9SqVUKpEjM77kc6tC7blF6helvbPmzcPZY/uS4KmJ7BNlDg5KcXz+iNvgI29S4MJwaVqIT0pXpOFQhgLhN8FSpXDxVPHVMFIeBstVaYMTp06zVhnwfSNRLqm0cSNBvSqXQGJaemIS05FbHKKDLJ5gBbSLmpaAnDc8VTWtpvE5iq8M/5lGNA2IMGQjpN4ina2cHiZDPAiQgQXKohvttWEs8lJNN2JHzEbtxGQbZZBNgmCdudJIk0hGR4WLPTFIjMvFqWhKiy+AenpPK6CtJcA2Pj3UyZFVJevwJtzBt8wO2A4LCwMX3zxBfr27YsLFy7I60mO31dffRUjRoxA8eLF1efPJtpetGA+KlWpipiSJfE8Csk0kpKsCOHaki8wa6lbtMVKAuFJ6R7cAJoQD8FqtcAu5YbnX0YbcLJn+xY0qN6STdtlk3HCYBPrtRNXbmLCnO/x6ufz8Hq/bpj9/mgM7t4eCUnJ+GHTdgawqTwg+Hd7CHpKJh8fH4SGhODmrZsyiNSCa9HfWom0rWRLdJsyBObC2KSnlBDqOXlPJMCet7c3Za8DAwLdlay6Ezs+NDSE1tehQ4dKfvFqHbLSH2rN17MItrXrtUoGAXyLDLiiDBPuQ7XAyjdfz0e1atXodO8eU27J/cM/UIy2jF0sMsqlTVxsnrW4A2N4BsbSu+3YrSeSEhOwYQ1TMKuAeAYg2+3aGQDwXCnCR9cZDdQimLbO5vxiwsnUsh5zDzShUsli+PvSTdp/8HgQ3FKLT80KRmLXw4cs84aZA23mVkXBttGAuuZA3EIKHhvSBX9tBQyL90S3uVxIcznhLSp2BOvU/bEPEOnrjeKhgaoMMtQ6URxkpOc5c+YsVaiJOIFPnL0WSWJOEJCsSrevXcbQD79C/uIlJSCes3EhRy2gYr5AFastRmXTgm27J7AtCVs+QSEY9cUCpKanY9Kwnti6djke3L/PWGgBGBOgHBRZANUaNsP67xcgJV1hrRWATcC1uJ4tk3MQdvnU8b8lFlsxOydz2Uxc68utYbP1WW5CStvQrlMXLF2xCu9O/AAnT59Fx85d8ea48Th55rwElDlgFs3BGZtNWG15nQywJUCty27rMNoyWy0tCyBb2U8YcPVSfUm/xXRfqWlpeHvsOFy4cBGLFi+Bn5+/xlxc66PtwqoVy7BowTcKo6wB2XL0cQDnz5zGn3/spikaPIFshc0W5hywC6y11lxcHGtFBl21nmj9/LPve8RLvfJRslkM7SSkP7QbEXt0UQSW+jcZQGo6O2aGzSJB2qLKwq94PcpoU9NwGnjCCO/gcNgCgnF++yopnYLCal859TdKlKskB0ITk7kQsPXo0UMcP85yDYr3JqBjJujT+8vhsKJiroWONIPRSo4UL9jHisvinloGW9d8XAK4MQUiqPB7/PxlqWLxdGAaYC6DbMnuIUtgW9T+CIBaWrd05Rp8/d0SzT2LbLbybKfOnMXO3/dg5JBBmbxcHbCtB5OEa5BXTRgdAoLo4OQBbGc34rhY6sWES6/ShYjq7ZB8/xZd5qZfSmBMNfCOqVIXwXkiFRMxIeZHsZiSOHv2jPIUUgUiaTwSUojvlxGF8wajWakiOHHvEW4nJksKKZbvk7tTlDX74pIzmX4bK2G1pbZxHUl4CCkQEjXxZO2FtKkkgx2/OR+iszUP/MxGCrKJJttqMakY7dU3b6FnqaIUYDOgrUwEbC/bdRi9m9eX+m/BUshNkSUKzga3YDkqSxQ3sK2F2ToMWha+YXawcJkyZfDtt9/itddfx/sTJ6JPnz548cUX0axZMzRv3lx1PqpQ/eEHzJ//dZbOfeb0KfyxexcGDWOseG7eNy8heSNQvoa7KS5/TwVyCLRJ8bWa5b5P/BZupuMS6CP7yeadvB5IY/JHo4dj37FT6PDq++j8xod4aeI0tBr5LpZs+g2tGtbBjzM/RvnSJSjjXaRwIbRtXA+zvl8lRSsXrNhEKzV6DbWy5+fNm1GlSmWs/XEtuzxvEyr/Yk1aLBmcepiEHNpacKoNeiYDDc17Ij+J4qZ169Z4efgwTXyFzIoCtkuXLk0DQ44bN87t/PJcBvuZmJFrtwnB2kRFAwfX2na4ZuUyLP72G7co6qp7ktaRwIW7du3E8BEjaFwEEh9BX0n3/IrBO2dAm5TAbPqz6t+AauYGlMWPyBcLFiqMxs1bYfGCecyqLYsgm/zevvUXnD55PEMAnrvFQ6RxvXqhM3ZnVIiClsh94gtQspdo6HFJycfjQVQuURhHL9+iyxRcS2w2nzctmg87Yu/TOCUyo03GSDNhtI108jIb0c4ajt2uR3iIVDkdHr+d80jAaTyV29htpCLcaGVtR/MKLicm4szjeJQmSmsJWMtgW0NicEXUyVOnULpMGZXMrwXX3GRcTEe9fuEcHN2zk7oKc5BN1hcM+oeAdpUCwRpzcYW1cDcXZ3N13mwGbu1CVHGTzQejpi6gDucPHz7A1jXLMPnlvpg0oi8F1V+Nfw2fvPoSgsIjcf3iOUx9eyR+XPQ1rl6+RHOtXrpwHo/jn6pMxPn8xvVrWLlgNqa9/7ZqOwHvKhNzifVWwLcGjKuilDNmmwNuvi1PZD6MeOU1/LjhJ/To1QvffPsdDaS24LtFiHuaQCOWOznzLGmoOUvNfosRyAWGWpep1k6K+Tfzx2Yg253VlphtPgjLzDYPlsaWDxw6TO+9dp06mPjBB7TS6rFOWib769kzsfz7xTRYiR6TLYLf7xfMQ56ISDRp3T5DkK34ZmtSfOnm1eY+28pv+R4FZptMhN0K9cn5QFCrXGE4kx8KgCYbhpKiJlMG2MQXj4Fssu7JgYUwma2MnZP8YEhnFn/pL+Sr/AKe3LqM2NOHFEbbYED5WvVQrd4Lkn+cWmA4f/YMrly5gtdHj9a/JwG3MeY5JyJsNosIqDPdT7OTnppShxEf268Tpiz5UWDENcy3AJ7VAFxgqUXYILDoMghXgW227qt53+K7ZauQlJDofqwGbM+a/y2iIvKiU7tWz/IyhfsRXpLLhQoVyqNBgwaYNWuWxwE7J/7ZvNQvmUexGoEB135diPSUZDmftSdT8sA8kYi9dUMNxqXBz+blTf0TVT7aRgNCAv0Rl5DE8rkbjRhSryJiE5Kx9fodKeo38Z020UGfgGMfsxGtvEKxzn4PSUY7fExG2I0OnEA89uIRvE0GOvlK01nDU+xyPUJnW15EWKzwNhvhbTHCi5iNeZlg8bbA4mPB6eRE+NssKBgWCLOXhQJto80Kg5UFqCJ99a6/z6FRtQqsTdN2LbKJ2s8nQlM+d6Fq1SrYu3evrlDoacppka/Mq6bOxEtUVBRWr16N9u3bY+bMmVizZg06d+7s3gu6gBkzZmDxokU0Lktm5duv51Kzx9btPKcH4+JUTouXtw8cDpKekQMl5b2SOhPul33/bNE31ZNQzwVMGgzNnq5mloQPyH32TRYLvv5oHDbMnYLVMybh0zdfxuYFX2DquFGoU60SDBYpYCqRG4xmjBrQC6fOX8Zv+48Iftkim61mskm5dv06vpoxC8tXrMRvO3fK1jiisgCZ+S3rTCLAVuWbFo6H3jWEd3n79m0a96FDNlLFeSrt2rWjCo6VK1awL6K19FKBZ511XHmg9/wqwK2OE6FWfhnw9ayZWPb9YiQlJuqy5GKZN3cOIiMj0bFjRwQGBuJRXJxQqZRvqUDJXEaGRuL+4v1cgbb4DrNX3CO1s7XspP2GDMeFs2ew/4/d7ts9MNk3b1zHvFkzMP7N1922ebxvN+VT7haxTWjHbJ7dADq4mfsnEwuwjC8gnoDJogQv9GhWD8t3HabuTwRck0CfVIlsY0rlAF9vlAgJwOGEJzDZTDCTsdFmpspoArB9jGRcNSLcbEFPawS1DjuAOJiNLnnMJWMwAdsWowu3DEk47HqCxpZgyobz+EPcWnP1rdsIslpQOjSI3q0o59FgqDTVsvLCSJs4d+4cYkqUVPyuNdHM1a5sjDi+d+cWrl08iybd+6tANmHr8/pn3wI2Rw4UpSOIr5qRAlTavGkeWZaLlXwv8txMXmPJyongZDQwAcpITMYNZHLCQN6Jy8genDAMFhuqNu9Aj8lTKBp12nenlYiYeQ94byrs6WlwpKfj1OH9uHPjGmq17gwn8VG6ehHH9+1C3L27GDF5Br758C14+/qi2gvNULZ6HfiE5EHxcpVRIDqGAmna4TsNapMoEiHTKQXvkAJ+0CAeUnpqkn7X6CLr2TOJZlBacyC+vlSZCvj086k0ZcYvmzZi0OChCAoKQq9ePdGgfj1qAiwzZtKcsXqKgK8S4lnNkhg8vcaiWRBYElUwBHFAJ0miuAArabpIvtaPPvmE+gQtWboUwcEhmhzYCuBVcI7CVI+ZMBHJyUnw9vH1aC5OfhN/qU0/rsKgUW9Q87hsg2z5mpqUXwKDreAqfbGMNJqc+KTy0q9bG7wyeiycPjwXK2sLNKJ4JqdVB0hTzHaIMG40mZH+8BJs4cUl/2yF0SZAO6x4ORQpXwWPL5/A0Q1LULlOA8pqk85oz89r0X/E6yqzPy4wBQQE0kF74IABOnfkSZz+Bwo1OZZmbt9DBMHKvvI2PfNxmiRaOaZwZDj8vL1x4sJVlIspKmlCWc5sKvVRP3tyHGl7kpU3bRM0EpG7qTdXQvDL8o5P1E0YgMnj30RScgp8fb3ZNcXjhGNi7z3A8jVr8fZro1Qmwtl+h/wGdO6PvJKhQ4egb99+OHz4MPWzlY8gKTkk5U5OS9XCITTKLImVQU4TVrEx7h3djny128pgW4/dJtOhHT+jeoPG8A4OcmO9yT0Rha2LOlazvipvWAjuP3mKQr7EHNuAujEFUTI8GIfvPqSadqJhJ0DbnOagY5XTZEQFmy/8DSZsTX1E76OKMQBRThvyGqzwNhrwwJWOm0jBeUciSpt98ZIlkgoJhMmmQJuw2lYjrDYzLN5mOG1GfH3uCqY3rg6zFxE8rPJkJODHYsGf566jZtkYGsVVzOog56V3gxWKJpKMk7y6tW/XDm+MfhOdu3RWVTW9otd6slvkesGrUgaFmPNWqlQpw3OR8sEHHyApORm+vr4ZmpHfuxdLo42PeuNN2haywV1mq5AxYce65ShXqwH9zR+T9Ar5Arxov5nTQvy0iRwhN0Wd4dlqsSAtNVVYKSiThBQ8DCyTZSeNu5E3r7f0tEIGCAGYN6hdE2VLFseX3yxBwwb1VJGF1deRWB+Ssz5fFGpUrUJNLA8dPorTp0+jVOnSkgMUT1opFL3+TqeowKPWn1mW79UgW7wEKb/88gtatXoW5aNyL+RWJ0+eTF0e8ufPjzp166quJXeZ5F5Ysm15vXwCfrN0WexjlXO4XVlTB8a/9wGSU5Lg6+er9ACi9kxoC6tWrsCbb71F2wIH+6QvpfWTd97qjyNYOz37WzPYfJ9pXPC3mZkM7eF2csoa64Jr4Qf5XbNOPZQoVQbfzpmBeg1eEECwPpNNSmRUPlSuWo2CswxBtsc7ybxd5LR4AtnuI4myRJRUNJiklHnD88lFSxoWaZxkn7l4+x7SXSzlIIk/QtyiGNgmkx2DK8Tg1d8OolLZsnQcJCm4SP0kDCSxKiOFqNaMMKO7MS9O2xOx1f6Ayusk6Fleow1PXOnY7HqAMIMFfW2RVBFOTM+t3NXLaMBjRzq2xt5D43x5EeartUJ1wc/HC4lJKQgM5D7f7HmuXr2GAoWKCAShEvhMa6VM5I34p/FITknB4IlfypiGs9xFA31yNC7kCGgTZ/fy+QLx59VHtJ+R27u07CLflAR/BQG1Rgqu7QSg0jkD2EynSeO9wekiTCkZS5hQJbk3uRfC9lnNaNl/BBa8+wqMVi/4huRBNAHSVWrTSkf0w/3f/RwPbl9HWnIyLp07g1WzPoPN2xuNu/TBw7hHCAgIksEHA9kGmIgJOF+mgJotk5dLlp0i4HYLDMLANzOzYlpg0STKKgVQIwEPCLu+asUKGrmbCCc9e3RHmdKl6HH0xXGTVOgwbVKFYtrmjItiGqLxxZJaqgK8FfMxEnFw6Q/LsHLlKmoO2LhpU5k11rLWbgyxAMQbNm2may4u4iQyLZg1DRarBd36DcoZk60HsrWsuWC6rlcicqCdEovNakH7F0di7ZZ9stZXpWHMtIjBz6RUWSS6o5EABV9YI0pQkx3iO8tANmk5TlzZugS1+o5G1U4v4devxuLWmWMIqVod6anJuHr2pMxmKyY6bJ6SmoIXXmiI3r16Ak7SWvSKlhHN5aIVTMT1dJ27lkIR+NWMn7iemofJwh/Pn6a0n7f6dMCH367C4g/fUOFmKlBJbU32q6aDJWmDHGSze6Lgh4+igtDFrytiXbLQsnEDtQhPDtMB25/PmA2rxYphA/tm4QVmVLmk++TKOFGClIS06dOno3fv3jRdDGFI+C1nqvXOpBD2uFaxMOw4E0v7/5AyL8BosMNhJ6memHAouhGJmuRi5avhzF+HEPJCE2XQk9p0ZGQUbt2+g+gCkTIrFx4Sgti4eCB/KG0zpI2MrFcRI9fuxG937qFeQDA17SYm3k6LA04zAbZAUYM3Bpojcdueiv1p8bAbXbiIJFxwJFFztaImL9S0RSLAaKIDPPUzo2y2CV4WI2xEW0+CZPmY8e2NG+gWUxihgb4w26yM0faySsIIYbStWLRtP8YP7KaYjeul8fL0HbkgDxf1iSZBxkjQyMCgIBnnZKVG5LSIYFss9NoZXFPLiPPSvEWLLMmeM6d9SQOFDRg0JEv3qKsWzMKFLFYb0lJS6DJrkrTV0AfL/wxm4+x8JIewGSkkOJ8GTPD3ZrPZaGR15SBlD9JHMGUMGRNopyH0RXx/fX9rctzYUUPRZ8Sb+PPocdSsVkUB4qKyXUB/JmKi/uFEug8JTrZw4UKat13Ecbxv49gzU42PfBUNqFFQgi7I1p5ux44dNJhZbhRybqKsIOfr2bMnPgkOpi4Qqh342MDBNl0v9Pfi+KUF43oPIG0Tn72p5FohXpeDaPHwaV9+QRn4wUOGytcvVKgQrl27hiJFCtFArLzuKt9UdYPP9rKIBOmVc7NxerzBQLO6xCV7kjeUZ89uUYFLLdKWrv3y66Px6pCBOHroAKpUJ5kW3OUz8dJkHHxn4qTM+1SPCgLWjzwXrO0BZKtuxNN9ebwZsS8QLceYFWzzGhWx5a8zaFc5hgzyFGQ7uHuUzY6gAB+0LZIPq+/cRve8kXDaWRouGmWMwhonBd0EC5qdLpQ3+qGsxY/K7HHOdCTAgTxGG7zJdp6HWxp3aeBRiVxaEXubri8dEoxgL5vEvCvP5u/tjfiERLDcNko/R6yGzFYr0ogrtxxRnLs8qydixfztxxPQoGNPhEQVktNYc5c2kt46JyXHdoJVCwQpqVpkM3JlWctYUHNxyUdbNssmwc+EyODUhJv4XqeTuf5E/K7LNmiJyCLFse7raW6m3+R8xJQ7OLIgIouVRGR0Kbw+fTEGvjsVPiHh+HX1Mrw/uAfWf/+NFI1cHZFcFTBNY4YupxPT+HLL0co1ft3aAGpkfVSBQniDRCv/aSPatGuHhYsXo0279pj0yWc4cfYcHKSRyim6uJm4mCtbiUwu+l57jEIu5dCUzcql1F/URJz+NiIxOQXfLlxEo6eToDtr169HoyZNNcHuhDRaqiBnYkoe5q+tmG1rQLbsO+3C3bt3sGrJd+gzeAT8g4Ke2Vxc9L/QBdmkYTmcdFo67WN8NLwPft+4BnmewWyclzYNKsNx/Q8PW3WYdPGHJIUxk3GSQsFM3SdgT4bLnkwjOLPAEyzqOGG14y//Be+gUKrwKlWvBcILRWP74hkUXCfGxaFoyTIq3Yrq0ly7qVuEnvpZbE89FTnXucvDe+BiV2bXFjQ2opgtanKEXTmILhqVh5758q27OubmzIxcFZFcdx9tEDS1T3dGZuTuijK2/vbdWMxftBSvDh+M4CBmEuWxZOW7ZKRZIr6pISGUXRw+fDg1K+MlJ/mztaV+SeKnLWm0DSbcP7YTD0/tc2ezaUBMJWZHzXY9UKp6PWoyTtyL+CBI2npU/vy4efOWSuNeMroIzl5lvmPEdJYEHWtfqSQKBfnh40MnYfY2w+JDALEFVl8LvPws8Pa1wM/HDH9vM6J9fdAzMC+GBubDqwEF6NTLNw9qewciwmqhkUX9vczw8zbDx9sCLx8LbH7sXGQ6khiPh/Z0tC5ZCGZvG0zeVgqyzRKjTe7p/N1HIG+3WIEoyWRcCIImNk4V+lB9SPk7kno1evQbeOmll5CYkMDW5cBcXFR0Zjbx/d3OIRqX6Ex8H71ry8d7OJbkPF703QIMHTGSKhS018vs4dh+WUsdRITwoe9+5vbmiXI8KiDncTt4IcoZkWHSfh+blxcD2lqLM5nJ5nFTeNwVydVLjvPC3c/ULmRkXO/SrhVKlyiOD6fOcBekM+ljK5QvR9OzJSZIfpMCWOZKA7UpNTKY3EF25negLsQvWRUt3GN7yXohVhUkvsCYMWNw4MAB1TY9U27VpHp+RYmta4YuTUr2DyFmimgRyRXuwjGkLXy3YAFGjByF4OBgem+kXpcoUQLnLlwUxmmlT1FnZxDfV06LAQZrzsBF9v20M2618uOIyFKs1nr1zwC0bt8JMSVLYdqUjzM9v7ZuejQN10f36rM9JzNy+aqaTyxehy+TwH9EcSDLHCpLWfU5xUCMsgWM0YReLerjhx0HWKYDCxvbqOUWGe+8iYLZik6li+J8YiJOpSTR8dEijZM2Xwu8yRhKxlIyplpMCKSTEcFWE4rYvFDeyxeRNguCbSYE2UwI8DLTsdfXywwbHccteGJyYkPsXfQuWhB/x8WhBkmlaZaIKbnuuyQrImUkovY4UgBijht4vmw903Hik12geCkUq1CNua8JTDc5R078s0nJsWRVhaRzgWeQrTIP5AKVBFIp6JaAKwXQBOzKQJqDbg8T2c8BNOn3Cs4d2oPTh/fLYJmnAuPpwOTI5USb4uUDp8mKpn2G4PWZS1CxQQtcvXgBHwzpiTULZuFhXJwMrNM0acXcoqFz33JVSjC1zzb3M+TLHHDz9eR9VaxSDR99+jl+XL8BdevVp8HG2nXohHET3sPOP/bSe2HAmvto8+jjQuRx0UebRynXTQGmDYJmwpmz5zDxw0no1r0HLDYb1qxdh/4vvUR9wrSgWvwtMsja7WphTc1+iyD8mxlf0pD7PV8amgs+2WLKLneQ7Ui3Y/vaH/DJiD4U/DRo1wXjZi9B1569KCP9rKV1/QowevnDlRqvMPyyZGjQV7bKgFDyzZaCTxCTcSPJiXrtT5i9/WEyWyQ2mzHaZHIkPUHhao1hMRtgtZhpWzh/eC8uHjuAsLwR6Dp4lGrAFy9OTNBFcOVetCNJLg8TcpA6kZmRRJUsjkoKWNcAanlBHEHUQHxk11aYvXKTBKi5D7e0zAOlyWBbdNtQs+PuYJsvizep3aYPtj/7ahZ8vL0wcsjAjB88IyTlhnD0hRZ+hurVq9NUMQRwk0KUL89iHshL3ZhwVr0l0/zgUnVx78hW1o55NE9tzA5iBmm2Yu47I5GWbpf7UZbZAsgbEYm7d++qcn5WLFUcf1+8Rv2gSXshPtEWLyvGNq6O+8kpWHHlOswEZBOATAd8K3x8LPD1tiDAi0xmBNnMdHAnAz6fgqwmBFpNCLCZ4Gcz0cHex8cML18zrL5WKkDccaXj+ys38G6dirD42CjQpmDbi0yEzSasthUfLf8FEwZ0UQKgSSbjKkY7U8ihoMya1Wtg9OjRNOBYwtOn2f42oo4rS/sLYFt38gCAPR0nblO3FWU+7YvP4e3tg0FDldRg6gfI+PkUPVsmO0uvfcuKhW7NKsLPlqN0j9riZWEGgyrMI/TLPt7eSE5mjLq8UUjvxYKX8fHaPVYL98lWxWaR9ifK2vfefBXbf9+LP/48JLgpaG5Cr7iAnj16YDn3YxYBpR4I9RQITWCctMAgO6Vx48aU1VYVfgM5LOTI8PBwLFu2jKYMW7VqlXKfmm/GFcBuQFoPbGvAWWYpvmSALQYtlbZPm/o5vH18MOzlEaraHB0dLUX6F+uLRlGjvKRsqjU078nqzaJQP2MhjHYWrpb5HnJ9UislVEdrbMJJ3JHXxozHnl07cWDf3ixfUQ2mdVVIGcFsZevzQNrCtUUZT/ulL164gBg5+0MGfaJ8EiFekGRhGRoUiLCgAFyIfcTGWzq+WVRg2+Jrw4f1KmHB5SsUFDOFtBU2Hwu8CWgm4ykZV8n4ajFKYNuEIIsRQWSuGnsZ0PbxNsOLxELxNmP5gzvwMpnQqkh+SgiE+ftIub0lU2ODASlp6Rp5XrJQEsYFHmRVz4Ut7tEj5C9eCs36DHYL5k3mkf62HEfQz3EL8veyoERePzX9zp3JRU2BmJOaAm6WK5uD2TS7Q8Vqc0bb80S2O1CsZmNEFS+DDbM/RnJKugKStaBYYLo5ILc7DfANy4vQgsXw6leLEBVdCsmpaVg+50sc2L0dyWl2DaOt5PTm5yXsvJiHm+YAd0sVpmW5RXDOQDdlbQwm6kvy0adTsHbDT+jWoycOHj6Cnr37oHuv3vhi2nT8vmc/EpJTpCBnDDg7JXZaZrXl35qgaNKg/TDuMbb8ug3vTfwQbdq2p4HamjRrjnU/bUSPXn0o2FaDZ7WphQKWFVNxLYAW99HNo+0CLpw7izVLF6L/y6/C159HsEeG8wyZbDm4GW9QyvKje7E4f/wIFfrHTF9EmaWoIsWpputZoo2LJSTQDzUadWBCDwRmVrax0ynSiKqYjBOfPonNNprhTImHd74y1HedBqCQ2GzSpwTmK0oj8HOf7DL1m6FAibJY+dVkHNjxC3Zt/NEjM0xMBN2Atp4qVHqPOS5avKvaprMhq4MRF6JVfgjKBWUFh8yeq1ntKiWL4uKN23jylLCCCgCWwbUcyZIz1TqsdiZg2+DGbAv3qAHbZ85dwIIly/DmyOEIDPD3/AJ1B33dl6OjaFBv4kHdCGAjjNratWuf2Wycl0AfKyoQJSzVALtgtPkhtEIjOOxORQnrEFltpU+MLBKDU0cPqEzHyTnCIyJw685txtZIkZj9AgLwNCmFpR4hjLaVAd02FYqjdJ4QzPj7HM4lJ8Hqb4MtwAavABu8/W3w87fSKcCPTYG+FgT6WhHoY0GANPlLk5+PBT6+Vnj7WuFFhAY/K645U/HpmXP49IUq8A/whsXHCrMEtqnZuM1GBZE/z19HeHAgogvml/OQytkdOGuQbeThQp3atWn0+P79+8PpIPZPOko8z4fLs6xMdN8MmGR5v2ww4Rld/+zZ01iy8DuMeO11BBCXBtW5xL8ZPJzuL/1C+sjrF866vbRnNRvnxSiZP4op2NgCW/KiQJunFxOBEmeTRLCto1BXZR0RAp5Kx3do3RyVy5fFWxM/Yn2+Vuuq013wYJ4dO7TD+nXrqRJSzdJ6SH+VyaRl37JT70kAx02bNlFfU/f+LwsnMnheHRQYiB9++AEHDx7ExIkT6XtyA9J60ci1zy+m0lT9c095xpUTsvuiFqADOHf2DBZ+RyL6v0HvUX4EF1CkSBFcvnJZo0nXpgt8VjpVqrPPaDbOC8lm4WfLWU5trV5INRRK88xUCy3atEW5CpUw+d3x8jfWO7/47dn5PFtsZPHuc/TMWT2tx1YgPdMpEnG7dGlBsSkq/V06J+SMtjLWEkXxsI7NMGfjLtl6zGSzUSbb7KUomgMDfTGhdgV8cOos4oxOWP2YktuLK7nJmOpNLMosCPA2s0kYd8lYHOBrhT+xPPNlY6+XnxW3THZsiI1Fz+iCmHv2EnqXL86CsZGAkyTtmOSSRTCct9Wqep6kJClWlIAleJ5s6qMtYNWVs6cg9vZNBdMKqUjJVCQk523hmbLJNygWhhO34jUdD/OzJsuMryMdNdHkk8BppEshcMkoPbQTDnKcU4ziqOM/Ic4FH5amw8Zj8ejeOPDLalRr3V0I/MT8vNU5GsXgZ0JuR6MRJarXo4Clfqfe2LtpNa5dPIcGbbrQ3Kf+gUHMZ5sAY+rLzSLg0WXhXCyIGgtQwQKmGTz6ctN7lALFsfsib0TprEuVLYfSZcvR+yaRu48dPYr9Bw5g7rx51EnfbDajUMGCiIyIQGhoKMJCQ2G12aQcuAZ6zJMnT2gws2vXruP69es0PQzxx6xWrTratG2Hd959T9ZUyuZ2Gp9r/lubC1tZ774uo2P5N//03bcRmb8gegwcpjJPd2evFdCsF/hM3ocDeuEe7el2rJj1GX2+nq+OR0yl6nSZJjai8QCeLX2LtnRvVQcHDh+D0eIjC46e9Z1CzeZm40QYpybiFhjSEhBSewALPkEjjUs5gU0GpDy8hdiDW1GwVFklGJ/RiM6vvYevhnfD8f27UaNeI49XJBrylJRk9T2o2pwyjDwbwylECM8MsNNvqZ/aJbNrKHPRZ1pYLwZGk/xdezWvj1Xb9mBI55bK4CPuI85p8AhakwW9pOBwx5+Nd3hkP/LeJN85yWhBAujc2ZE1diLEvvHORBQqkB+jhgyQrqtsV55NfCnc+yvzInuK8fPKp+C+5iwwUPfu3dGje3fkVmlZIQpHrj6i75BcJ7hEHdzZvwEF6ndi7hsmg0rpyqeKjdogPf6hYjYu9QeFixbDtk0/MeAhuVcQZq9hzcrYdPAE2lYqDpNXGlzp6fBy2PFxhwboMH8dph0/jzzeNgwpFY38oT5wpjvgSHfQOQnY4iLg3yEoVsR3R4JzklR6JCaCFFhtc+w97Iy9j2mNayJPiB/Mvl4w+3gpbLbNCwbi9wsDJv2wCcsmvUFzHstpGckkRX/mLJQqUrDygYT6KqyTKkfNmjXQpEkTLF26FP369cvwW7gzydotmR3LAyvpF1rHPR2rs0GGyxqQR97/+DFvoUDBQhgyjDB4Ll1w7vHEOSx58hdU/SZDYk7NA/WKN8mVnZwmN30RGwUEBODJk3hlZ8mPmvpmE+UrfUwqKag/oIwChDO6oQ8yxpnw5ccT8UKbLli0bDVe6tvLQx8hCt7sXMQvuOELDbB166/U8kXukuin4+HR3C6pW9z0uPLtalg5D4W8p65du1Iz78+J37jox0zv6dnADJGnpk6dSgE36Qtnz55NzdUhPLPqMjp+23K3LbnT6z+9usjPrgFN5Exvv/UWChYqhBEjRqqJewNw4sQJlCpVSlkh+4jzPoUod7gSWLxXeZDyXFS7GHKcP1uvhPhYkZDKovxnpWT05vR0CBwfuK8jbcGIiZ9MQedWTbFq2RL06jtAF5xm9Q4yK8pbzr2+KutFaR8EaHfp3Dmz3aU5w04K2GYg2+A0o1KpaMxcvRl/Xb2LCvnDYXQ64HI6YCIKddk6ECgRFUbB9uT9x9EufyQah4XBnOqAI81Mle3Ed5vsz6smVWRQHRGZG2jwNJ6ak+XsNmDmkXMItFrw1+N4jKhehgY+JeOuiYy7PPCoyYz4pBT4kECbQiwKEteExMKQMxBJsoUYbJWA7cvnT9MUaEXKVGIuzhrLbPJsMeH/IaDdsHg4vtl3FcnpDl3/HfIuGYDkoiEH2U4KVkmkcbY/73b1iwjARUCeN6YCyjZqhx0Lp6F47abwlYKcqUG2ooGUATEFJxLQJkHQpABoXoEhaNZnGP19/ewJrJ8/DaER+TBgzETYrFa2n4GBbJaHVYpOLq1nQdRAlQfcooFGLtcB3PR+JIFXiVaubOPKAS8fP9SqWx+169WX3489PZ2mNLsXexcPHz3E3fv3kZ6WRoVY8m5JrmuiBY2Kyo8WrdqgQIECFLS5CS6ZgGR3AO6+nzPD/TTr4cK2nzfi4J7d+GrRSpitNjl0vkuPrRbOkaXAZzI2cuLkoX3U16JOq44q2Yz77xGQTSLD5lbp36kRxk38BOmuSKmz4mOwBijJP7kPj2g2bqEdXPxfK5C3+dtSEDSjDLJJRxR/6zxCCpWQFUq83RQtVwW1W3XGgR2b0aJTT4/36efriwSaXkct4HNfFrGQek20vzkye+EfJMv7K4J19gA+D2ImCRPi+Wj9EAKcSRWlXb1q6Dp+qgS0NcHThH1pVHLSQdDTMiWhEoGc9XBMEKPeQWohhUtm8rm124B1P2/Fb3/sw4al38Jms7qDdt33oAyiGb9dQbCSlQLCO5LeM4lk+/XXX1NhM7dKq0pRmPbLGSSRgdXooqAh/topJN6rDr+IAhorJ8mVyOFCcFQhXL59lYJuNiAyPUdkVAHcun1LSlHE2T0LhvTqjG4jx6JNtTIwenvD5LDD4LKjTpmi6FqpBLafvYp3GjXCsr/O4eaTBJQMCkDNvKEo7u+LAALWHSLQFiw4XDzYsxGpLid+uXsP22/HonpkOGa3rAObL9HmW2D2loC2DwPajM32wmfLt2BYh2YIDQmW2GwGsonVihL9Wcxur/1uSh1gChFhhfTdBg8ehPbtO9CUPwSIeKgBbC42C+0+GVUiSWmlVF131WG2mrj0l0M6cdr403r8vnsXflj1I1Uai37WIqueyzgbvUa9rbLcKZjL44K31YyElDS1HCO92qDgYDx+/FgWCuW0Ldw3mxAQNDKs8AIEbSQzBxeLe89Qq1oV9OnWCe9+PAUd27ZCSAjz9VX1BdqvIfWBg156CS/260/zohOXI3U1ZLJLdr6FLsjOIulKrG8IeTBs2DAKiv39/fV0C5ld3eMW8hgkQCQJUEtybY8dOxb169d303m6AW76n8klqi5f2j/DO9IAbPbbgJ/Wb8DuXTux5se18PKyuQHyrVu3Yvy4saonUMZvNjHFNX+5IsjOCtiWouV7+bK+KxeB9s3HSR6jj6tuQbgVcaWnGi/+FpqIal3V6jXRuXtPfDZpIlq1bU+z6WjN/3OvKGPJPwW1leeQfhtAU1uVKBGTlSOVfoixN4yI4+4oJjN1vRzw4Syse38YHeuYmx21xZZkIHaKEvnCML9VHcw5fBrjT55Ci6hI1AwJgrfLKLuUsfvjMrAEsqXo0Y/S03AtKRnnHibg1xt3ceLhY3QrVQQfNKoOL18bLL5edKIKbpsNBqsVZ27fR6miBSWLHsV9goBnkkaRcyZyEDTBLDw1NR3BefOh5+gPFFNxyeqOM9slw/3ga815W3imVkQGpEbFw/HTyTsegTar9LIem7I4LMo4Y4czkqlFIMEBuXa59ouv4fz+Hdj+7RdoOeoDJW+wCmTrsNkcaFNQzCKMixHII4uXwcgvvsX961eoqfqsCS+jXpvOqFy3Iawmk8Jo87RgAttNzyNFK5cjlQvAW4xILvvxaCKWs3tnQg79LQAQwnoWjo5Gkeho+f1kVCgfJ1qvCut5A3EDyZkA7KwCdDHaOBkop04ch7qNm6NWwyYaNtvdNFy8Bz2Qzdlpcfv1S+ew5uuvMOrT2ewZBSFKfP7iYX7IzRLg54OmL9TFL3/dV794tw/EVXmC2ThN38WAdvr9s/AuUBkmq5eU1ouBbFpfjQaEFa+EAOKfItdzpY10HTkWR3duxs/LF6FGbZ5uTH1dovHjwZTYgTzCrSD0SyOVv483nianIJCafGV9EFJae/aKopLQKCeydJAGTYiHq9hBF7xsVhSOyoMzV26gVJGCshBCATv0WG0pBRgF06JQKsouGpAsMQ08zZtILpDrPXkajzffm4RWTRuhZZMXWDvUAeMKjSQITXLJ4B3JgrS0j0oS5DfFgFy+fPmQm4XkEG5dKR9WHrgOg5TOMapeD8SdOwyf8PxwmIj5uMhos3gaZPn43p0oGh0D/+LRUuwPYlFA3B1cSLc7qOuDk7hYmK3wDwxGhyb1MWHhOnzQtx3MfiRNJPGPsGBit6bYPHE+Vp27hs+7NEZ6SipO376PPVduY9PNO3ickkYVMN4mM4K9rAggPt5SlH6Hy4k7iSm4n5JC20XLYvnxddt68CEDO/FNo/myrVIQNDJ5weTlBaPNC/sv3MCVe4/wwct9qT8bzW8sg2zJ31b20RaCGLlRNDrtR5CTLWYzhgwZQpUkb731ltthWpCt1xozBcmaY7kVhFKyK5gqKRfFE8c/foIJ495Gs+Yt0bhZcx0TdD1HcORKmffBGAx5bwpsPoytyO1xgUYft7Lo42yFso0EuHr06KH8W440TsYEloaFAqYst3mxyC/agI/eHYsNv/yKdyZ9grnTpgg7COYIbqd1ITg4CJ06dcS8eXMps6oS6kSwLV8vs5ehAdnZrEEjR47EH3/8gW7duuH9999HrZo1s3F0xjfJ74NkgFm9aiVef2M0vRZh0XmKOW6h5AbwtX2zFpBnck0OsA2SjDT27bfQomVLtGjRQtjO9n/w4AFu3riBggUKZPA8gs+2itXOhmaMyKE+LH5zbhUiI4f62nA/ITWzS+sqIsTtGvytv6PmKHK+ce9PwtafN+GTD97D59Nn6Z3lmYuegvOfLvxpCNAkjC6zqNPuoDwzlwGpNYQQiJFaYTlJ+mEn8oaHoXOjmvhy7Q6M6dKEPiBhtBXZR7ImJm6OFhPeqFcBt+OeYtvl23j35Fna+wdZrQiwWOBtNiHV6USKw4HEdDuekuwM0ocN9/VG0WB/FI0Mwb0L19CoaD5M6fACHXuJbzhXbpuJct3HB06LDdNWr8HArm2luFWSuywMSE5Ohc1KFLfcYtbd9/qX5d/BNzgMVZq2U8XeYttZYNZK+Z6tLTyzuqptuUhsOHGHCakcIErLBAkxb1Ci8WCDBs+b7aB5rNWVW9WwRO2vBjgrQBSwBoSiTr/R2DnvQxSt3gjFqtbXAdocyEqgm4JhJbUXz6MtA23OUBsNCM5XmDLv3d94H3t+Wkk/XkBQMPJGFUBIeJgKZJM58f+Wc3Lz85BrysBb36ycMttSqiK1aTkBkdJzUCAgy/DSu1KYfk9FBNTqdYIeWwC2fHuWAbYHkM1/c3b68/fHI+FpPN6aNEUDmj34X0s3oqQXU5uYa+/tzvXLWPLFhxj24TTlObWCJ2ESvMzI4/dsab30ysfvvIJfurwr/+YDqOpbyPWS+2YzgE2AA/F98cpbEha/EOqbTUE2tfqQmA2DAfdO7UNg7eZaPSTdFhieBzWbtcGuDatwYHd3NGwipRARlCfkvATk6BauxZIGauJjev9xPAIjQuVOVAm88i8rcuUT0np5wusuF2W1N+89jFJFCqhYbS0DTn/rMd6c3ZYkKhmEqMCxy92MnBYnRr87GU/in2LGxxPlB3Cz7nMD21oVf+aFPAvH/YqQrHQgBFrmln+2WLrXKoQV+67BSVyGnIBXWCFYfP2R/CgW5vAI2B1G2WScxL4gwTHTzS7kjymDK+dOo1h0MZnRJgNdq7bt8N2iRRgyoC9MRuJmYYPB5oMhL/bA8rU/odP7s/DlyD6IDg8DbMnI7+2LST1b4vVFG9C2amk0jM6PKsEBqBRTCC67HU7CZqc7KNv4MDEZj5NT5KCdxAIp0t8Hefx9WFwEovAym2AgAQmlHKJGkkOUBj+zySD78NU7+GzlFiyb9DrJHUVBtkEVtFJKxSSx2jzolZhiUdHGc6sY/e9N1pMAUSQfsCdQrS/oSdA1G/hIc6ggt2dPknQbc6Rp/LgxiI+PxydTv8zWbeQG2Pb1D0BSQjwF2mRcCH8O4wIxH5eBtlAIK/uUBLVToTJWJxi57VKn9BLAs7JC9L3kRUVzICJvXnz2wQS8PHos2rduiRZNPLsWsZqluKf079cPnbp0Rfv27ZEvfwG5K1KBTHrJnH0MxYRUvAMFE2pdE+rWq0cDmI0fP56mJ3zvvfdoFgXxyTO/aAbbDICfnx/mf/01Vq9ZQy1GJk2aRJluLdiWX4Pbu2AX0apINJeRl0RgSUA2aQvTpn2lOjeZET/y9997D1M/J8oSQcDK7IG4EkB+AE8vQqhXRB6x5k4MG7GQ9pUZ0M7sfemhbNZjqvZSSDlh2CQuAe9O+ghvv/4KWrVph0ZNm7n5gGdUnh92VnI/56Z0lWGGGZlkIeMPcXmTxiYQeYAo+gjBQHJhm1msBpcLA9s3wxtfLsCi7QfRr3E1GLl5AmfBpTHSkWaFM92OQr7eGBgZjv4kNpbdgSepaXiSkopku5MqIH0sFvjZLPD3ttJ7pWbjkhXn6I2/I9Fux2fdmsE7TygMUh5v7qZl9LLhblIaRk6dhz7tmqFuzepwWbxYRgYJbJ8+cwbRxWMEwk7JiU1ANLHu/GvPb3h1+hIpXgxT/NMgrRKrHepjyXFar1wD2oVCfFAuKgDHbz1hGk4BcEsoiRZlYHVSk2naEWlqFGsQArjWAGXm/+2+HNOwAy7+uQPbZk9E2Jdr4B0Q5BGYcyDLWG1lWWS0CSstA26y3mmALSAYzV4cToHPhaMHsOGjcQjJE4H+YyZSEG0lFYCAawm0i+DbLJmVU5Nygd1mJuUCky09v2Jazpl70Zxcye3IOmKJNXNXUskvXrcrFpltHcCMTAC2yCYrApS+Hzep3Lt+/QUbVy/DhM9nIG9U/sxBtg6jrfLjFrc5Xdi5fgVqNG2D0dO+hZkIueL9Sj/4c8XkMmvBS+li+dCgaknsPnxWFhKkVyMMzPxDsgBoLHIii5zsTLiH9Pib8KnQnqX0ovm0JbMaqe7GXToOV+1m8jVVlh7kHqrWwvVzpzFl3GuoXHUfbGGKECLfjG5RYDsH1HlCg3EvLh7RkWESXvwXAmxtkfNh67UFaZvBhXoVSmHe2q14vXcHKXCZIQNfbXqwINSIahvh4/Jvq0U4XLiRtm3c9huWrFqLb778BAXzRykSZa6CbVHRIOyvYbaJ4uV5lGJ5/VGlSDCOXIuTWe20hHjcP/IzSnR5nSp70h1GKZikxGw7najQqA2CfaxSxHEeaBPo3LMP+nXtgK6dOiLEzxtGM3k+EvcD6N21I+pVq4yxn8+Cn82K4R0ao2z+vBjUsRl+OXYOr6/Yiv2TX0ZQoB+cdjv15SZAm5iOezucCHMSE3LJ/E3sALnViAS26ZzmETVLubIJ2Gfm4keu3sHkZT/jhw/foHE9aBoUMwfbYppFJdAVD4zG2pUYzEgA2/pfFmfPnkViYiKqVK0qf1a+Te/3M4NsDcDNCERk9RykbP75Z6z4YSmmz5qL/AUKqMafzM7jhi9zUGo0aQWrjQGK6Oc0LpBAUCSKOVHkiEVxkRGsTHhd4G7Zonm3EMiQrdL48ov9jqaPGNinB9b/vAXDXnsLR//YjhApXVTGH4go+4349OOPMHbsOBoTQOyK+K2z3Q1iDfPwJgQGTVwjGux4ANtiISb3c+fOxf79+2mMgnbt2mHgwIFZUxhmVmm4ObjBgG5du+KFBg0wbvx4GqH8nXfega+fnzuzLegvlWsIMlomhT/fLz9vwg9Ll9JYPAULFlBercuF2XNm48CBg1ixfBmCggLVz8EtsdwelefYFrQZsvZClEqUsZ0pmQ0weuu7o+RGyjs/mxmJaVn31WY3ps9ky791wLd2BV/dq29/bNm0EW++OgK/7TuIEGJCrnuc7m3kOlMt1yXeGHIJalO3v8wixgsg20VxB5+bJJBN/KkZ+cC6Ixe+eG0ghn06F34+Xuhcq5xknKUw2U6rGU67Q55cxI9bGl9JD0vs50TyiBFO3EebKLWN2HLqClb9dR6z+rdF8ZKFqXUYSy3Gxt24lHSs23UUP/5xCDPGv4JSJWMAqw9cFhvLzkSCQMOAPXv2oGPXHvJ75jIFz/5ExuQXx35CyUwif/CsWHLwbqcLVfNnknI1C+XZ4/YDaFcuUsqMI+RddkvxpQhUcvRuu4dJSv8lC2CqZZf7stOFOoPfhT0tBTvnT6aRy9l5NBHN5WUhpZj0m5iH87za6nRiSq5tlufbiSIVqmHIx3PQecTbuHPrJj4c1gur5s/Ao7jH1BRCzL+tTjnGIpgzM0kenZzdP30/QlRyEqr+yOHDSE23qyK683RhtLJozSDob6gmuzYKPJ9Uidq574IYZVyINK6JQK4AZJ382TxPnbDv/XuxmDz2dWoy3qpLLynQEQ9w5iFdl5C2S2suLoNsF5CWmoL5k95G3IP7lJVwA9nCcWSZKD2KhDx7XkhPZWjXhpIwovTGgjglL8mRxnlKL5MFyVf2wjtfRQa+pVRASooUdrSJ5DC0qlkXsVuuXLcRRn82E6kpKfjsndE6ShS1j6TbHQqMWt6wENx9GKfy/VKDAf13kHURI2vF7nDg8CUSDdIDE68qWRgFXaDm4+QOSXBBBURrkYqwXlynnaR9eMReFSiX7WDZYHXv/n28POY9tGryAvp276hzHa1PuY4Qnc2RXhUBXXwJLjw3oE1K91qFafATntbLK7wwUuNikZaYwLTHnMmW+kOyjgyQy6ZNZn2jlNWBTCRO7LBRr+HNMW8jIc0Ou9EKh9kLTjK4egegQHRx/DBrCkYP649Fv+5Hpw9mY8HOw3hvaA/aj7+5YhvMISGwhpIpFLYwMoWwKTQEXmHBsIXyKYhNIYGwhQTBGhwIS1AAmwL9Yfb3h9nPDyZfX5h8fLH95GV8uHQTfpg0GkGhITQgGhEKCKutMNo8HzILiMb9zan/m4rl1gBu6QvyWbrdjj1791IfUgIAMgfZSp2UCTCNqii7k/a4rBbtsbH3YvHGqyPRrEVLdO/dRzifnnpA71pZy5edUQkKDadjiMVoQKHg3AuCpsdquxUXC/T18OFDgWHiFg48Sj2PJM5+swwizCxS9EXMjJMjffi8aVNofzfqrfHuGSXEyqHpJ0qWLImYmBj89NNPKvZVrKVqM1/VlgzvLaPvJ9ZneRK2VatWjYJfEo2c+FezqOR6Z9FRjmZ0VRnEupAnTzi+XfANTTFGTNaXL1tGA8vKBJDwCVQsanYmAPdiYzFq5EgaeI74o/O3dfDgAXTu1Ik+/JJFC2nsHfWYIYwPqm8qjs863yGj4ZmQPV7PR+lECrcmzL6EoH+ERA8Iy+5stqreGgzUbDwlOQXjRr8mI11PtVZ71edBN+j1zVk9jhRSJwle4BllyHoSCEzJMMNfAnsipZ8Rl5X+RkkVKMUYIUBXArvEemvOmGHYcvgUZmz8HU6S8cPHFyZfPzoumgP8YQkMgJVMwYGwkYmOqcF0nKVjLZ1C4BXOJlt4qDw9sdgweuU2tKxSGv3bN4Y1LBzpfgE4dCcOc3YcQp+pizBq9nKERkTgp6+nolTZsoB3AFw2ArS9aBpnh9GMO/ce4PDhw4gpXUaVFYlhIxeSkpOxaMr7CI4sIMsb1J2NLjOZhADkis9oNk5KrkhZdYuFIcTbgoeJadxSUul8JTKHaEmI1oA8oBg1UumklMASbL3io8yXOeOrNCAl4Jk1MAy1Bo7H7pnjEB5TCWVadJdC8wuNSPDfZmbcajNyOaiZ5A8rstPiNm4SbjZZ4R8ehTdmLsWpP3cjISkJuzauQeW6LyBf4aIwOw1wSIHWyDI/hxyATWK89czJv509E4f370XdFxph4LAR0v1zgV7sPIRclRloa/XWsobtQQDTsMEcqKq3sQV+vMgyc1BH8uKOHzGIfom3P5kmA3TR/NuT/7WKUdcy2S7gQewt+PgFok7LDihVtZYsPLiZsUsPRuZFQn1zJUeqp9KhUWVEhQXizoMnHvbgOQpZrlMy8fQ/lqD8sARFqGUn5TBaf8v1HkvTfXkqN69cgK/VitGTpuKDVwdjxaJa6D9omH4FkKIes3YqqozZcuGovDj092k1AFfZYmVgRi5KX8+oAp7xyz7sPXsNjcsXx4jW9ZBbpVSR/Lh44w7KxxTNwt6SplkWbgRaR2SbZXZKYUf4fmQw7P3ym3T3eVM+lDa5RyNnYJszJJw+EWmU3BnqSY723Mid7ak0KReBUD8rHiWmwylFIC/S4S2ADITUTJtHH+cB0ZxwWi1UoXLm+FFUrFwV1nSHZJFkRPX6jWi6jm7de2Ls22NQu0Y1qkEn/bCBTOZ0FC9THtMml0BS/BNs+30v5v/8BwpG5sWPe44iNDQEH73UBb7+JrgcLGoq0bSTZUKh8+ipLK+6KJswxRi5EdpuSXYHoxF7z1zB3I27UDAyD9Z8PhY+fgEMYHNwLUVHl33dOLCWwLVqWYpGLtEDGtNyCYSRaOaTJ+O77xaiQ8eOKFasWKYgWzskaFQt2ZPqxOMEeT3bgiFRGNvtGDygP61/X0yfxaxoNFhIC6zgQVGoBWHZKeePH0VgaDiqlYp+ruOClUTQpd+QFd6DNG/RAhs3/YyB/fsyM3FuOaRKEciPEACWSK2p7Jk9t+d8URGYPfUT9B48AnVq1sDLgwcIW8U+zeC2bsybo9GpSxfUqlWLsru6ZtQapvdZlSCZlenTp1M/ahKBn6QAIyblL/bpo79ztiq73PnKpWnjxqhXty4WLV6M9u3aokuXrujVuzfzfxWGupw8tMNhx4D+/WgbIBHPSX9HAMJXX32FvHnzYN7cOcibJ4+6YQjLTDGbSRE/bSa7E5CdG7mzPZUgkhvZaKQEkd5t0rlGeSHu4MZiczZe92oCvSGcMypfFKZMm46hA/uhRq3aGDRkWIb3rHpt0hD/vOt3hoXGdFFw1KwZ07F37x40atwYI0aMout9fHyRP39+/P77H2hQn8hNElstxXWl3Y3kASdXDalz52eWg+xJEzMzN9Dv9937r2Lxxu3o+OHXeLdPW1SLLkjHUoPDLo2nPCI5FMWefB7J1Jycj5iLS8QTIQt7f7qIgt2q5Upj6Ly1eBifAG8vGyqULI5q5ctgQO8eCCQWOdRizAqXxQqX2UpjtziNFpr2+K+TZzD+nXfxydRplGyU03gJROLRP35DZJHikrm4MnETcjKvVDAINprN6V8AtImpdasyEVhy4JrKr4bOpY/p1IJoWbZXALYo87mbjWvMqHXAd76qjVGiWQ8cWvolgguVRJ6Y8sL51Ga2cjA0oz7o5qbkFBxLk4GYGNpT4evrx/yxiVm4iZmal6r5At2/aIVqWDVvOoqXr4imnUlHbJUBt1H025Z8tlmkcgVk82jl5apUw55dO1CmYhVa6dw0dHI6JHfTcbHD0e0MPAhnt2/fovlp/Xz91OyD6A6kA8xlc2+B4ebr50yZhGOH9mPGD+sQHJZHZrPdopdrWWvponw/Lcg+cWAP1n47Ey9P+irLIJv8ItEDn2cxm00Y2Kk+Pvp6o7vcIgFTZiYjpfSiYJtEQE6HLbI063jcIoArHeqR+eNQ/5XPPV7/4d3bSLZZ0bJ9Z5z7+zCmfjABFSpWRs0aNeR9iJsDyZ/sY5UiNGr1t1I7KZo/Cqs279So7tm9kUEyKTUVvh47IcVsjQuOOS3VixfAjhOXUCU6P3KzlCiUD+eu3dIF2jdj79O81v5+foLwyBuaKOYLIFvqn2gAI1UEdLbfu1OmY8/BI9i2YiEi8oSrpVS6iwCq5WP1JNlcAtpSJoLnVYjJbOfqBfH1jgss65kDMNn8cGHVp4ju8AqMwSHCAKcw2E36jcKDS6coE02YRmW8MKB+89aoULU65s+chllz5mDMm2+iaqWKMDjtMDrT6SBvcKTCx8sXHTq0R4c2reBMS0b/MR/g242/4dyte/CxWWGzmBGdLwKFIkJRMDwE+cOCEOLvixB/H1hJJyzUV8oOpNtxN+4JTl69iuOXbuDgmUuoXLIYvhozFHlCQ5FM+mibNwPaYuAzIb+xS8VMioBbYBQ4ywB3kH3o8BFs27YdRYsWRa9evTIH2RkwJNlhT27dukWZV+JTrHopvGQSI0R1iNRUJn84EX/u24u1G39Gnrx5BRipAGl+kBZsizu43X82uxm/gEAkxD9GdFjupTHSK6Tukjon+mqTW23ZqjUGvzRQBlpKG+fpEYl7hPCwBh1B2w0je3oJBnTp0A77Dx3FmPc+ROWK5VGzWlXBJ1s1WMnXIeu8vb3x6SefYNSoURTQEpNUPbDtdDqQlJRM/Zyfd6lRowa2b9+OqlWrokqVKtSPnLC/Pj4ai7UcaZTc9ydWUG1at0LXLl3w8y8/U9PyiIgICvQbNmxIFRA50YF+MHEi9u7diw0bNmD37l1Yvmw5tSL4ePIkmsZVpWARAbbcOLSqJ03hChhD1t6F0ef5mI3Lt2MwIMzXirtP9X211dYR+v2LJ9ZZy2KreAE17Ea7jp1x+OABTHxnHCpUrITq1RUZSSyakV51TxmJNYRNTklOpu4GuV1o2xOaa7XqNfDbju2oUpm4EnEZBPjgw0no0b0bqlarCl9vLzbekMN0wTZx/SUndAg9geDHLVvYsPnt+3Ho0rwhWtWrjqlL1uGjZT8jKjQY9crHICo0CHkC/REa6MdiThkZwZaYkob45FQ8SUxGbFw8nW4/eowbsQ+RnJaOM1dv4urtWAzt2ga1albF8NIlERYeSrOMKMprvmyhy2SMJQptJ0y4F/cYS75fir1792HewiUICA6lVsTcClgG2yTaeEoqKjVqTbcx+UMA2tLv2oVDc+V7GVxuNkQ5Kw8SUtFjwZ/0hrlvG70ABxaqqwoMswCAVbuIvqfaZSGPnpbhJj54uz8fjsT7d9Bs4mJ4B4Up5xP2l/20xVRfqojkynoOjjd+PgZxd2+g+4RpCIvMT/Mbm41GxadbYMCJlvHv3Vvxx6Y1aNqlD6o3aEID6/DgaAy8M5DPj1UFZZPvkz0vTwHm/i7kVyoJ+lkvrM9lgs3d27fwyqB+CAgMwvxla5TtImhV+W/rg2WR2f5t808YP3wARoz/AD0GjfCYuoutU4NszmLL55b2ow3FYcfqOV+g/aBRsHn5aFKIKc+kZd4j/W1oXoLlx3ye5fa9OJRo+zZSSc5IFV5mpuCUySbmNlYvmK3eMFm9YX90Ga6Uxwgq3xpmG1lvgcVqgtlqgsVmhtVmgsXLjNPfjscLr38JXy8z/L0sCPA2I8DLQkGzr9WEU3u2wctkQpNWbWCFEy/3bIfbN65j47bdyJ8vEhaTAW+9NgrvvD0G+SPyMHBiT6PghMxhJ/NUID0VjpRkdHzlPaz7bAxcaalwpafCRfZJT0e/zxfiyt0HWDyyGwqE+EnMoDRJ2hBlrhmRZAUb125KdVeq8IrPDpszf3YJdEighP1W/Fzl39I6Jcoze+eibywfNP48eR67jp7CuIHdVOa7t+4/RI8xHyM4wA8b536q3JvANvLrKsy+OqAVA0r8YY1Yu3k7ug97A1MmvInXhxImiW1Xm4BKwdVkSwEx+JxgQeB2HbmzFahG9f7Kfmw7Ue5YvZ+fCwUvsU+S0XzyDhB4QVLVkT4w8eZxJFw+gmLthsPLZoaftxl+Un3292Z1OvHOVdw4cQgtu/eFv81Cfft8LEbYzEZYTQYKholSiQDu2zdv0Dy77Vq3ohHPDc50GJ12NifA22mHPTUZTboPxNUbt7F/9TcI8vXGhavXcP3mHVy7fRc3797Do8dP8OhJAjXPVowUWNZgL5uFBgcsX7wIyscUQdnowkygJz5e70zB5Zt3sPyryShcqICasVax2GRZMAvmTLZclwSTYPnbGRH3+DG+nv8Njhw5gvnffIPAwMBsg2w9+TqrIHtg3z4ICgrCyh/X6e6T1TGHX++nDesx4MXe+GDyxxg+8hWNMlcB2iqXIo1CVj1esGUmSAm+/VLqSFHI0romJSY8RaivFS3LFcbzLsRS43FiimrsJt3bsMGD8MYbo1GmTCn64LILikzVS2Bb+C1uV7mGZEGcI5GIm3XojqvXr2Pf9s2IjIzQBObTV/aQ/on4D5MrDB8+nJ5LGXPZfGD//rh85TIWL1mKggULZqmO6REEqm2aFSqZRyjr16/HzZs3qQm2UjJ6J9kTfW/euoXefV5EcFAw1q9bR2/g9u072LFjO3bt3o0HDx5SBUP58uVRvHhxanFSpEgRuk7PcogAsQULFuD111+nxxTInx8tWjRHj+7daRpOVeuVX7JEVmlBtmq72l2JnUJTp1TvRXkPRosN5uBIPO9CQMypO/Hq76kn16oAsijrazCElgV3wwlaMM62kVS5ndq2wvVrV7Ft1x/IGxHhfrMa9lpVa3SYbd4HvzxoIK5duYJ5CxcjfwGiMMm8sGfQROV3k/MzeWea9dt//RXr16/D7FkzKa5guSxZJHE4He7LdE6svBxsWfotLzvsuHHzFnq8/j6C/f3w04wP6HrCXt+4ew/7j53G7QePcO/RYzx8kiD14S6qnPP39Ya/rw8C/f0QERaKiPAQRObNg8L5o7B5zyH0eP09TBn7Cl4f0k8eG1lgM5MwN0um7QRcG3HxylX8sXc/du3ehfR0O7r07I36jZtRk3iqvJeANHH9Jamok9IduHL5Mh48eoSI4mUlF2HiFuyQATcB2kVDffBK/WLIjZJrDnphfja0Kx+FNUdvssrH+2ZpENQF0nRU4Y1BYWpEWVMBl2IlY/oW5kvPBCF2TpYAterQj7Dro4HY/eVrqD9mLizeTFstBxqTl0XQzdZxoKtN/0WWSdRccl07TPSDmR1kfxcD2hKzLZuVGw0o16AFilepjWO7tiDuSTz2/bIWDdt3pXmuKZNNTMg15ujcrFwF/KVn5FHI+QCtWPtKLKTcCfOXnMEH0whiPv4B8A8IRPFSpZWI3zrMtSoyuSoiuBqM/334ACa+NhyN2nRAt4HDqZAjC1Iadprn0GbClWcwnhD/BPMnj0Or3oPQbeTb0nECA+IWvI13eaxUyvfsQQ2yUqLyBGNIl4aYuWybaj1TOkn+12QuCDXO5Ccw+4dpwKeiGOLfMrx0DTctrfidqzdqAV/JtJzkTv983kL0adMEA3t1xdpNmxEcFIDAwCA8eRKP/JF51A1LPhmbaO5U+ebVz0gCUl0jLA3NLSgCA+1IxCNyi7pk6INsnvLMrcGrOwLZZ5z3FxpQyfMzZlYI6CM517Ul0M8XQf6+KBtdRG2eqVdEFolTPJwfkrTK+w7/hX6vjkO3ti3w2uC+QuOT3o38vrRm5BoTNX4LAoMlGwuI1JL24eX9le1mK4tl8LxL3kBvdKtVCEv3XJH7cf+CFWAEC0BGIpGmpRuQLLnnsNfsgndYASQk78Xk4X3wxhcLEOjvi1S7EV5mE2xmA2wmI3zDIjB28hSkJSVg45qV6NqjJ0qXLoU+vXqhTMkYGp3cZCLBN50w2Xzww4I5qNuyE9q/PA7bVyxAuYpVUK48M3Ojwgefy4KIIMSKnapcH5nShgSWunqHxYhwmaw6puF6AFvNYtPtKgULcP36Dcyb9zWNnDp06FC8+dYYlYl1boDszKCGfwDpLwJRqkwZ3X2FqqpbtMccOPAnhg9+CR06dcawkaNUXJzKLFzXbNxzUY0VqneiHKV3j/FxD1EtImtC8LMWk9EIL4uZxl3hhdzd5I8+xsABAzBnzhwUKVxIUu3wm2ZvV2m60tsWaDbZyEXvQ+iATJKu6odv56Bus7bo0LMvtm9cC78AyVpBdI3h/Rqdsc5o6JAh6NCpE43GTdhcbQkOCYbxmpFa8km3Jz9nTorbIwkrhFdAC8l7/fbbb2f9zNm8qUD/AAQFBqFMmdJyJp2oyAhqrv5inxfpPvFPn+LEiRO4ePEi1qxZg2tXryIxKcntXMSfnKTyIpHECSO/ds1qxojL718E0NkB2Zp3pVfkuuIeFM3o6yFIXi4X4qZBIpA/SGSstuhO6ummFXlXZ1Lhg6yBbHofFgsWLFyC5o0boFfXzvjply3wkyx3xNcnijVZZbZJ0D4C4K2amDqZFynwGEc6QrBA7W/hEM06paE0adYMsbGx6D9gIObMngV/osSR8DYlMlwOKY0gIQgJmy1lSqGm5mzcouuJSRqdjAgMDkVQYADKxhSl2T/YmOlCwcK+KFiYKy0NQqA9g4rMYMt8nQn7/zqJ/mM/Qte2LfHKyBFwmklKPQOcVPlMpAUSTNpAY16dOHEWfx44iIOHDuFJfDyKFotGjdp18e5HUxEQEkLjWCXS+F0OOcAZAdskNhYB23/8+jO2rlyCXuM+lWKFudzSjJKpdWkdpct/mtEm5e6jePRddBRJ6U45UjJvIOqrcrNnQYMjEzFceFb20zYO4TRKA1VpdAx4eusi9n4+DCHFyqP6iCk0irNogqgwxHq5tj2YlAtm5EpkcoXRJmbkxHdBjFjOtxFt0F+7tmDvpjXoOnw0ChSNhi8B3DwquZzLW7ku/y0rAiSwLSsIxPsX3on0OjJB2rzog2rtb8408H5dZKK1oPjapYsY3rUVCkXH4PNFq2lHoxagMk7TxdkGCOsJGzBj3Cg06z4AxStUzpjB1lEUFAzyRpPi4finyoO4pyjZ7m3EP02RRwAxXzaJVGyy2Nhk9QYcKbB4+8PqH8IYbZvAaEustsVmQvqd88hfsjz8CPtHWUAzZQF9LIzRPrptAzWNJabjZB0BJVfPnUbvdi1QrUZNLF25Cl/PmoF6dWqhTvWqCqMtsdqgy4zRJix219few5L3X6HsuCstRWa0yZykSSLaTervSn1epejNkm+OKoKztriBbGlZl81Wd9IKmy2y3e6Mtby/B0Z734lz2Hf8LN7q10Xn/AJ7LClD5POKjLbc8WhZbbbu3OXrqN+lP0oVL4rN38+DlzcJuCQqNzTMtgzkJB85PWZbZ67LbMv3w9ZxZQeJcG+VlI//RHmUkIpmk7bTlB6E1TZbyDdw4s6uxYiWWG2bzcTSfVhN8LFJc1L/HWnwshjx4xfvomWvl1CuchV4mQngZuw2sd4gcwvtr104f/I4Vi9fiutXLqNps2bo0qkjoiLygMYgddpx4vhxNGrVHrWqV8HaRV8zv1yu0deAbYOWPVTVX/7NpXetzZPtBrB5/myeQkX6bhoWkfR7e/buwTffLIDFaqXApmq16vSSek0pqyBb91jxBDkqkoI3k734PVy8eIHmjY8pWRKr1/0Em81Lt99WxgGNIleIFaJltHl+VDFwKF/HU7rQoHw8uKa0jyX5MdpUK4V/qpDrErNJGRBI4/qtmzcwbMgQfPfdd4iKipA8T5xZYLWllysz2zoBwTx84xOnz6Bh606oVaMafly2GBYKCNQstjurbcBfx45h9pw5tI6qZQLPl86olmnlN4/7aFbo6JnRpXNn/Pjjj+IdeHh+Eaw+SxH63WyUCxcuoGHjxtREfNNPP8GL+nrLQo+OZiyrIFtYFqORi0pD+VjxGMBg9YYliPiC/zOFxOU4Exsvj0syn6Arz2bAZmvXi3jCbbtGXpb+nD55Em1aNEV1IiOtWEUBOH9T4qcQv4ori32xtmhXu8EjYaUY5M2tzuuw+oqiwR0b7d2zB599+gnmzZ2LggXyy+BYPf45VOw2Y7idCsPNtwnb5fOITyLIIC6ttQxPcymtP3/lGl5o2xUlY2Lw89qV8CIKa8pWA0nJqTh05Cj27f8Th48cpor5kqXLoGqNWqhYtRr8AoLkYM5iUGkOsMXAZvEJT/Ho4UPcuHIJRSpUh8NgZsGvJTabgHCaatThRNkIf4yslztsdq4DbVJmbv4LE0a9BHviExRqORghMdVoWhR2NTUAVBg5D0Bb2MYrjurmPa2Xtj04exiHZ41GVPVmKP/ieCmSs9DY3MxLNMHRDPrstt5EU3hIc22KMBmIS8CcpPX6edFsXPz7CBp16oFaTVrJYFsG2nIObo1pu5yyTCd1mfBe2HvI3gCgCm4mrtdhiF3aoGXSPvdj72BE97awWKyYvmIj/IOCM2HC3UGy6OdNBJNfV3+P8HwFUa5mfQZKMvLD1gD2x/djaRq2TmUjaRCOf7J8NP8nvD9zJVz3TsAYEg2TXx7ql22iObM5yGZAO+Xan/CLaQCrXxDMVhssVjPMxFycAm0GssnyqW/HodHoryRTW2ZuS5YJyPa1mHD41w3w9VIDbcL+HdqzCwN6dEbnbt1RpXJlFC5YAG2aN2Emtg4JXEsgm5uQE6A9Zsps9G/1AkrkC5PMx8m2NJoiyeVwB9rUdFwOhOFJ/PIAslVBpziwFQGuYCKua0LuDsLVwFkNtLcd/Bvnrt/BqB5tMwHaEqBXmYxrTcfdAfDte/fxQrdBsFkt2LVmEUKCiUWFuJ8HsC356WuBsxKRWhzIRBY0AyDucuH23buIisoHq68/jAQI/oNl9uazmL7hMOL+2oCQcg3hF1UUt39biICCMYiq0pjWbS8+WczwthLgbaIm42Se8vAu/lz/PWo2bYX8hYsiIk8eBrQpw83MyUn/y+ZGOO1p2L97BzatW4vExAQ0adIYrVq0QIF8kdj122/o1K0HunfphK+nT2XmdNTMkrPY3JROMLHzKJhL30MWHkQfbK15uBDkTKUgMeLWnTtYuWo1zY1do3p1vDRoECIjo3RBs1hkoU7Y5glkqw6V+s5nLXK6woyKC7hz5zbatmgGq82KTVu2ISgkxL0fV/3WNxtXfmuzXygZOJjpOHMz4mbkPF2cU1LaPoi9i5DwCNQvEoxg39zPF5xRSU5Nx527sZg54yt0694dZcqUoe/xwoXzGD/2baxbt04NqgXAzeun2gSYnJUrhtzEf/2KI/UjO3b/gXbdX0SPrp0wf+Z0ZsUk9ylcSFZ+8+PGT5iARo0a0+BLGQFqvXqZE6At7+f+CNkE2uLNeBqfslr0oH7m5fadO2jSrDlsVit2bPsVISESi6wBvuK9qQG2BozrgWw3s3H37eynk44L+SIiYAmJZCkJ/8ES+zQF56/fxeJ5M9CqY1fElCqtC7q1JuKegXYmIFtbb4R6t3vnTvTo0pHKSDNmz5XjEGTXjDwjoJ1hG9Cu4wSNuI8bO6+2BlC/MwVv8d/EwmLkiBEYOXIEWrVsIfUpbHxTxjwWHFQG31rALZuXc4DNn0rdV4gA20WVy2ydi88NBty5ew9N23akZNyWzT8jKTkFh4/8hUNHjtAUllarFeUrVkKVGrVQtmJl6m6pzrCkZF/iWZsYwGbm3ylpabC7DJj/4Rg8eXifpmguWLYyY695ZiiaWYplnnpyPxa2oDB80LIU8gV6/3uBdnKaAzX7T8C1Iztg8QmET95CeHr1JAKjKyGqXlf6sUhSc/kGhJrBFtXMtch4u2s1M1gvLd459CtOfj8Z+Wq2RumebzGwLQv66oYpmpJr5xyAyybeGiBNfbWJ+biJMdxkWQ2yFQDO16UlJ+H+jcsUfG9fuQgNO3RH2So1NL7cis+2is0WzN2pGiOXALcKEIvrdYUh8bcL92Pv4rXeHWgACAKyw6Pyq8C1aNYng2JBcHI3KQdmv/saCpUog+Y9BlLwlVWQTeabF8/BsT+2o+eAwZj02lD80yUxORX5K7fBkzsXALMN1qKNGJtNUnRJQNtoIey1Fx7vnY88zd6C2WajEwXanM3mjLbFgFPfTUCj0V/SXJSEySZgmwJtC2MBb505Rk2fy5YrrwLaBIBsWrsKrw4bjNp16uKlgf3Ro3MnGF12FbiWQXd6GmWwZ32/GtFRedC0cinqo03Xk8meLoFsPokgmwFtGnmSf3xeZC2rO8hmQFpis2UtkhZo82AcGmCtAtEaUC0y0wLQnvrDBlQrE4MXqpbPAdDWAGIdkN2k1zAkpaRg16rvUKhAPs2+0AfbKpAtgm01QMuQ1dYeCwOmfjUDmzZvwfBhw9C3vxht+J8pSal2lO8yBvfO/gmztx8KtnkdJqMT8Rf2IU/FhrDaLLBajLBaTHQiLLaXBLS9pMmbrLOYsOuHubhx9jja9R+OCtVqSkBb8d0W5wR8pycnYf8fu7Bt88+4e+cOihUrSusoYQ9f7N0bM6Z9QV1/JA9pNtdq9UWhQg9rezIH5+BbE0WcnCL+aQJ+2rgRGzb8RIONde3aDS80akTZlIyYFHGtFkyr9tc1v1bvmd3B35190UE7OiCbBKVLTk7Cxi3bUIAEeNKAavc0hGKATD1wrbao4qy1IwtAe9U3M3Hgt1/RZ+BgvDNqMP7pQp5jztfzsWUzceUJokH9+Nj9xuuvYcTLLyMmprh7mj8tq62zrI5ULn2ADIsBy9esw4Dho9C/Ty/M/uoLyWXIkCGrff/BA4wc9QpWrFih1LEsgG297VkF2vK+fFmn6pFAZcRkW3U1NwDL7yL75uOeb8qQZZDdolVrGjBux7atLNiZLmjOJsDW/M4YZPPfwNQZc7Bp6zYMHzoYL770z8tIhEj5ZOY87Px1M40P9OEXM91Atij/ewLZooWqdKibLKwi1VTnV8qaVSvx8pBB6P1iP3wxfYach1pVbbSycRaBduYtUfNbxEECOekGtKUfItjWUyZwRUNySjI++WgyNSf/9NNPEBZC8ohLd64F2HqAW7T80t6wTsowF01nycY/ZqXErvbX3yfQo1dvJCQkoGrVajBbzIiIyodKVaqiQpVqKFwshh7HUx6L6Y/FlMbyMglwlm6nabvO/X0UW1csoq6BAz+cgcSnCfAKCJaO5cFXFQabzA+u/Q7XDu1G2179sWDia8jNkutJVAn78OawfpjwaRxCSteBd2gUXHUdSI27g/SEJ7i4+jMYzVbke6EHvMPzw2TzZZWZ1xiNr4FLK48KhaW70jFNF6p0eOUmKGW348zyT+lAW6Lbm9L19Fl0OViawHqL5uR82Y3RNjoZq21yCqBbYrDpdubLzYE4Pc7qjcjiZSmYbv3SKOzduAZh+Qri/LHDKF+jLkJCQ5kfNw/Kxv21pTkD3dJceh/6HRN7T9kF2uLbZOv0TbTJbwKy3+jDQPYXS9chPDK/WwRyfgy0DLbIWEid766fViFvgcIYOO5jWL289UF+BiCb/A2NKkCD49UpUxz/ieLrbcO7b7+Kt8Z/CGMw81th9YsDQAbqiBm2JSgfNSvnIFPBeAx8koGEPFPpTsOl7y5oeIXvHRgSipBAIWqoIEt07NKdKrpeeXkoTW3UtVMHpqSRhWXljLzyFIzKixux9zXb1JPKp1qudFJUXPpdpIadGcjWrBfuTKdofLVV9yGAzQzK0bOXMKxLy+x/WHFkdeuYXLgdex9NehOQnYody75G4fyRcp2UZxKLyn0f2XqD5pzSx9NL+aW9IXk/fn71sYULFaSBXwoWev5Bn/SKj82Mt1/uj3c+jkNgTG3qYkDaQFCp+riyeQH8o6IRWa2JoJlmgUzS7ZLmmU5GeNmdqNV9KKolPsHTuzewd9dvSH4Sh3otWsPX25uCbqZYctE5Cf5nsXqjbtNWaNCsFbUQunH1Mo4eOoBa585jydKl2P3HHgwaPAgNX2iI8uXK0D6a1FsxKAyNM+JmRi52lIK5rSpgngjADXiakIhfNm/Gxo2bkJaejtatW+ObBd9KfoEs/rMYI0NVssCQaIU+eZ3oTvMM31E7kshn9XBSotjgIHvdps0MZCswR5rcQbYrC/evPkfWS958BeFwpKNqqdwzDcxOIf1U927d8OjRI7Rt2071Tjt3ZkBx/Pjx6net56uth1h5m5frKF/pdhfyUs+unWB3OjB4xGt09expHGxLfZI09oi/iT8xUQ5dvnyZRsEXL6u9Iu+ycoPSybokk9lZcst0XEeTkCHIbkuBwK+/bEIhbr6rNfPWO68bwNZ+/+yAbKWQ4I0k+GOBIv8ZGYkQVr17dEPcw4do3LKtskEPZGcwyQdpQLYCNEV5ybNip0u37jRI3ajhTOnAwbZenc6shYnFlZO+VTqItispcgO30Fb3we5+3KqTyTfK+lAvL298OPkjHDlyGP36DUC7dm0xoH9/amFBgkS5REBt4L+l8Y+nvyTBpHhqUn6TMrDmYx8H2EY6Xb95C7/t3Indu3fj1u3bOP733/Tdzpj3Deo3agKzxSqbgZMpmea0dqhNwFVg20n70JtXLiEquiTmjB9Fv12Dzn0RWbw0uo3/nGKsJIcLDq8AxKeky4CcTpJJOZ/7hETScaFtzTLI7ZLrjDYp5Ma7z92PW0+SBTlUAbbOtCTKKDy+cAT3jmyF2ccfMd3HIeHWefhGFKHmtKqbFIVLrRZTJ4iC3gPFHt6Kcys+Rd4qzVC821swmRUdgxvQljGHlAqMM8kqs3Ih37ac5ksC2EYD9f3jrDYH2xZhHyVKudrMnKw7se837PlpFSrUaoAmnXrCajUr/uJaNpvfm46WTy8ioXtxF5v0gbYCFRTNNQO/t29cw9sDuyMtJQVTv1+HiIKFVf7XbExQRwYXfb5FdsLhdODL0UNQslJ1ymKTnLXicVzg0oJ9aZNKm0iWy0UEoGbBfybAh14hURDLdZ6AK7cfUQUTMxsnjLYXMxu3eJEwDzD7hcFC2GyrRZoYk222sojjVqsJyXcvwOxIRZGKNSmLzc3H/bhPq8WE7T98gzIVK6FmnXr0N2H1OKPNTWsnvfsOZs+agV49e2De9C9hJfkdJCab+WoTP2wWZfzYyTNYs2UnPnypi2w6zvyz00nITsF8XGSzBdNxiXGhApghI5At/Vb5ZWuifctstBRNnLPbWWGzyQVlxprkb3ah49ufYeNX76mPy5TR1iob1Ne4cuM2Wg14BckEZC+fj2IkCrVkJqVSYvBz0GLIxBeb7MM1xZ79uN22a65hsnnD7PX8I417KmSgbDFpO24/TmYRyM0mOjcaXdSM3K9ADCKrNoGZ+FwTlprUXwKcqWUGY7NtEqtNJ7MRSE/B8R0bcebAbrw6ZR5IxjofLy9a56nvtmRKzuaCRZFknbRu5XK8MXIY6jV4gVqBnDtzmoKIDu3bo3GjF+BtszKTcklYVeaaIn1TmbUWTP1JNPNfNm/B5i1bkJ6WhhYtW6JN23YICQl1Uxhmt4jAWrso9r2qbc9A5GUkpGoLMVPs1qkDUlKSKcguUkRJo6fqw3XMxl2Z+WfLcT7UjLZTE3mc+2LzbZwBLxLsgzIRzzeNUUaFPE98YgoToAXFPuk7u3TuRCNoqxlqxmjrmo/LIEzytc0AWOkWSTm0dMVqDB7xCgU+c2dMo+5fiuJI0+/BiP0H/sTWrb/i/fffV43BdK73zNIfPf2AekH3p9s2z6bjazyAYFEg0ahtcgt0eyhXr15D246dKZv468+bULRoEc3zeAD+GZh966nZlJzaeky4el++3ejtD7Nf8H+0LZy/l0DNfdXyqtrHOCtstno/fTZYTx7WqvVXLv8BI4cPRbeevTBtxizFykh143p9rVoGlbdlo+jVe87Iq55DeDfyc6p+u/fVWsUDSce3cvly/PDDD+jWrSuVCWm8AJUblWJRw/sheZ1gScctX5hZOAtidvnqNaxavQb79u9DVL78qP9CQ+QvVAQjhgxESnIKlq7bRH+TXNcOFUvN5AXRx5osP336FMcP7EVksRLYv3Ujbl46i2IVqqNGm25IS0ujKb+oZRNP6cUnbu0ksN9s7qT7UsDtdKJFybzoWz33g2PmOqNNT2oyYnCDonh//UlJxSIwNeRbWHwokxZargGdHGkpzJ/2/GHc3LkcwSWqwTeyGOLOHYRXaBRCStWkB1KAQnxIxKCbmojGpOjpDsIrNaUf/sKqz5Aa/wgl+7xPhU4GsrnqSGiwsqJGzOHNNHAyyy0AbZNDYbWJIJducgnm4046T6fb2D5idHIOzrmJeamaDVGudiPKpPy5cyt2rV2GGo1bolGnnrCYTezaEE3ambaLM9rKwC3lHNe8H7XeQv2utGyC+E61AyVZc+74MUwY2hvevn74bMk65ClQiEUYzwRci7/JPnduXMHaBTPRecjrGDF5JqzeXoJQ5Rlgq+9J3bkRwbpi1H9OmCLFYjHj/WEdMWDiIuoXy6KOk/zZfG7G433fIqzhazAYfSjIY/WKzI0wEpNWqW7EHv0N0XVbqaPUq2IIGBD34B5CwvKoO1uNYNK0eTPci71DO8B7sbFYvmAu/H20vlmssRbJF4Grt++5A08RzCm7y+vZJqVtKhkGPINsfj732qq5pvgwdBcPbLbOMlfa/XrwGBpWLZflCOWZFhdw+ORptBv0Bo3qSZjsYoXyu6ud6bLEYnMayO1ccuJu4R2wY5nmWtrItRfi/m7hSJVzmGz/rC+qthDl4yutSmLM0qMwOEjfRFht8ghG5Gs6CEY4EPvXLuSt9IJ8jAyOuBmw0ySl+HPBTsC42YoKLbqiepvueBD3BAsmjECVBk3QouuL8Pfzpde0GJ2y77ZZA7hbd+lBws9jzKjhtG0uWLQEiQkJ2LxpA/r07UdT8xD/7mZNmiBPeFgmrIhkgGcw4MGDR9QsfMvWrdTPrHnLlvjyq+kIIb7JZFcJ/GUV+OqCER1wnSHAzuK1Mioie5JROXb0KHp160wzbFCQXbSom2AqguycFN4q5O6DNgM27nFxgynLmTUI/27k+xcPf/55njO8dwNLGZecmsbei/Q+SZ9vFkiA53sT7A/vo/v06Aaz2YTBI15F7L17WLboOxp1ntpZqBgy9rKrVq6CqVO/yL370VHw63WPGZ5CrExZBc/PGWQfOfoXOnXtTvuSX3/eiGJFCusDX3FZq0HTtaJRH+/OZGehELLnOefNzvwWDMjrb8PNJ8niWjXIzmDi++ueW4DQ7scI+2hWdu/Vm5JxhNkmMtJ3i7/XjUb+PIrY1DLdT8VkkzrAMlbIfaNYleT2y/7Q/YxG9OzdG127dcfKlSvQpWs3GgV/yGASIyQSBppomyt5FIBNWW16TglcS/2IU3KJWrt+Ax3/8uTJi87demD4629S8P3XkaN4sUcX+Pr64bs1mxCarxDi0xxyEDPRTJwAbBKk7NLZk7h35zbyFCqGVTM+QXSlGgguVga1uw2i8TbI/vEpdjicBjjS7TKYFnNmy8pYWY5Q1jN220VlhI7lWVyU/wpGmxRy2n4LDuDsnafsQjJwpX8VIUUjUPL9HOkpSLp7BalxdxEYXRkPju1A/NUTsPgEoEi7kTj3w4d0v7Cy9WALyotbe9bQClCk9TA8OPkHnl47BbNvIKI7v4Wz379L9w0uWRPO9DRc/WUe9Y8t0edDJN+7Sq9jDQxDgcZ98ejUH7D4B8MnrAAs/kHKYC0Cbw62JaBN2W0NWKYCHQfU0mTR+G/L+3KTcukcsnm5BMQdaak49eduVK7XCAsmvY1K9RqhSr1GLGq5BLTUGj6N+bvbe+YCiY7cJrAM4gYR1PJyYPd2fPz6YBSMLoEP5n6PgOCwrINraTx4+uQRUpKSsWz6x+jw0ivIV6x4lhhsUZjUVwwA1QoEolLUP5PSK6NC7rnugCn4+2IsVRaxQGiE0faC4+kdpN0+jpBa/WjKJc5iixHHCZtts5lxduXnqPXSOzQAmq/EZFP/bMJoW4zwNpsQd+sqChcqjEBfb+rTytlsCjQkkHHkwD4c+nM/qlSqgF59XkSRQgWxfum3yBcWLPloS8HQSOCz9FS0HzkB6z59izHaNBCaFBDNTphswmzbqSm67JdNvhH30xbyaGcGstWMt8hsa6KJi7+JiSNPlaa3rwi4hfP1fm8apo0ejLyhIe7MdbYYbfb7l9370fPVCShdvAh+mv8lwsNCNYoITW5tcVlgiZgS0YOyIDPWWvaP4udSthEXHbNX7gX3yGkhdaPTlF04czseRtI/mg1yfm2iVLq9awntzwq3fAlmi4muJ6w28d+mvthStHErD4KmWWcxuHDqj60oWqosbp47iRLlK6FAoSK072VtgFt38OCVrI89tGc3Rg58kZrWL1qxBvmiIumnfvzoAXbu2IGd27chLu4RoqOjUbNGTVSuUpnmvSXmduTLptsdNM/u/v37sX7DBljMFrRr3x5NmzenQoW7UtAdEIsClpudVhb0QXrn0+6gMC45K1q2RK9s/3UrBvXvi5IlS2HpqtUIC2PZHlQYSK8/zyKj7Z4SkitkNGy2jp82mRcP80V02H8WaLNndSEhOZWmeuIKcVLnunWV/IyfN6PtoU/6bfcf6NF3AIoUKox1q5cjKirKY5/UvmMnGryN9zM5YbR1b01Y0Ktmoq6Vb09OTsagQYOw7IelHsCzB0ZbWnYz3c6FsmXrNvTuPxClS5bA2lUr2LjAr6tXsshCZx1kZ3wuk28ATD6B+De0hcsPE2kUaIMeO5sDNlsvYrc+m62+lnxPAH7f+Rv6vdgbhQoVxvLVPyIikuUY99yX65M+OSni/Xh6Hv3f+s+jty9fx89PAPS+vXvx3bcLkJKaio4dOqBt2zbw9fHRxCmRnkqyAiR9M4kMvnjxEjx4+BDtOnZCy9ZtYfPxYUHLXC46LrwyqD+KlSiJ6YtWwC8oBGlSSi02sSBmcXFx+GvvLhSvXAubl35DwXTp2o1RoExlFUvNlhkjLfbvIrBmmSZ43CdlfOCBNdk6dq4elfOjS0USS+e/CGiTcv7uU/T75k/6EMoHVr6yDLrlu8l4AOc7ZablfHTmTzw+fxAFmw+mYEb1gC5QYH32+/F04CrWZSy8wwvBkZIIr/D8eHhsO9LiH8IrLB9s/qG4ufsHavJbuNVQ2FMSYPULhldwHpXvrIrZpjm1FfCsjkyuNi/Xi1iu3UfMzU3mCXEPcez3bQiPzIe0lCQaVbtK/SaIzF9Q1dlwsK3qhLTvWdAaiu9H7ig06/hvIhis/mYmls74DNUaNMWbU+fAJpmkisJTckICprwxGPmLxWDAWxNVgPn88SP4afE8BAaHYcC4jxjAyAhgSzchruOdmZvw6AJCfSzoWJYIy7lBVz57OX7hFl4YNpMYiUvRxhnQhj2ZMo3WgAgJYCtB0PicgGyTMxXe3lYE+PtSgO0rTWxZis5sMWHLkrnoPfQVajZOgPb+336l0ZffeX8SPdZqNODYkUP4fecOjBszGmdOnED7Lt3oN102bxrqVikvmY6nycHP2o8cj3WfvS2ZjhOwna4AbRoUjZiQS748Ti3IliXjzEE297vm6zjg1Y0wzgOjiWbkEtBWBUkT2Wz2+1rsQ7w7bxm+nzzabR95P48gXS1sko78s/lL8f70b9C6YR38MG0SfHy83Vj/p4mJ6PbyGJSOKYap776pA5TFecYRyNUB0+B2T8RyR2UhYDLD4hfklp3hP1XO3HyMLlN306AoBGgzwG2Ugfej4zsQWq4OTUFG2gTtH6kZuAKsqWk5D4KmAd1snRG3zx3Hvg3LEVGgMNr1H0aVlSf2/47BY96Fv6+frHjiTPflc6fxcp+utP7OXLAYNWvVklyEJOshuHD50iUcPvgnThz/G7dv3UY6aScuF0wmE/Lly49KlSqhddu2NFe9WkGoA4A9gA6dYVFY1qAL1blcmYKa3BjstUIaXyB9yIwvv8CnH01Cs+YtMffbhfDxcXdVIOZ/L/XrgxIlS+H9yZ/I9+WmoBWAtApoC9t5ei8qMEmClSMDoO1rNaFW4ZB/zbjgcDiRkJyiAto9unfD8uXLqcuZEvxMiQ+QG0D751+34dcdu/DxxHfh4+vjpvw7efoM2nftQb/p0sULUbtWLV0F47CXR+C9995TAIgHcKHCj1l8NxmBbT2gTfzFZ8+ejS+/mKoBpOKFlffkBrJzTRImdc2Jz7/8Ch989AlatWiGJd9+I7UFNVv99GkCevYbgNIlS2LKx5Ok1R7UFB7Wu5uLa47TPacLBpMF5qC8/5pxgUR9vvwwQTeorwgG1b/V8q3bvvQEcu12B6gwYOuWzfht+zZMnDRZ1V9xOfTUqZPo0aUT/abE4qlmrdq6QFt0qXQD4Z4+q4eirdsq/JQNsK06p6driQoIARs8efwYP/20Hj9v3Ijg4GB0794dDV9oQPslXi5fuYrVP/6I33fvRtXqNdCz94soUKiwbApOsF+a3YG507/EjCkfoV7j5vhwxnwYbd407goB2CTyd2JSMi6cPonvp05EwpPHaNx7KMrWbw6Tl69s1k1YZ2rqLYNtIYWjCK4luVP2XNQEbZZjR/HxxelCoRBvfN6+HMVYz6M8VxulmAh/DKxXBPN3XRLMuwVhgCZFF80epa+eoV2aJE7oqZ+kF3ln3zqaKzbh5nn4FyqniDfSi7WFF0KpwTNwefXHOLd4HPI3HYQ8NTvC6XAhpBxLV8HPX7zXZAY4jEak3L6MO/s20MjRhVoNwZOLRxESUxVmb286cDs44Da5YKdzpwDAOZgWTMe5CaPJhXRpzvy4eWA1hfHm+9sCQlC7XXd6vfSUZJw9vBc/LZmPfm9OxLIZH6NUxaooXaUmAoJDBFabsYnubITLvWFmIrAlxD/BV+NewcFdv6LbsNfRffgbVMgkgoyqcyHa+oSnSEp4ipuXL9LGcPHkMezdsgHFylVCweiSNNBZAPFTFLBYRj7Y8ASyNR0Yed4XioX9a4QpUsoXz4cxfZvisx9+p8CHTPaEe3A8uoLAci1VrB6ZDNKcgA9Sh67vXIO8MeURUqmWpJBRfP252TgJ3nT66EFByWLAsu/mw2az4cTfx1C3bh36jUld5Pq1smVKY+/2zejz0lA07doPn44fjVf7d1MBXn9fHzxJTEKA1SwDZc6EKMsk8BkL5kQKtWiW6pXc/rIMsrUjpsY0XBpc1dvYOdz2FRlh6XwffbcaY/p11mzX3INGqNSrSo/jn6L/mMnYtHMv3hkxAO+NGkTbAn9c1p5Y//Y0IQnxCYk4e/GKsE3bj/FOjLVZ+l5VZuTSs5M2IR+vuTH6mrkVCbl3F42B8W8RpkgplT8Iw5qVwOyt5yj4IffrlEzJnQ4jQso3QcrDq7i0axlK9BhLorfQ51LMxxVzL7uZLxuR5jDCapcYbocR4dFl0WXMJyCu3H8d2Idv3n2DZkL4++hRVKxRmwF3amnkgsVhQIHokliycTvGjXgJvTu2xlvvTcJLQ1+m1krUp9sAFCoajSLFotG9Vx+VQCcW8u6JoOFmzZMFgUtuNx4QuOyMkREhJlxTb1t2VesZKb95FSZC2chhQ7B18y9446238ebY8Upb0Oyf8DQBCU+f4sK5c5k8hLDIqrKwjjeAbDyHASgfGfCvGhdIn0/S/5HAeLyQgD703Wk/lBww69kR4ZxvFsJms+Lo38dRtzZxzVMXMi7s+W0bjczevHU7fDzpQ4x8ebhbPxIWFkoZKA609YqbNXd2i2Aem1G5ceMGCkrB9tQHi1fPCGTnDtJ+/PgJXho2HD9v3opxb43GhLFjhO8pvgzmc0qms+fOZ2we7mFbjszFpWLyJzLiv6ctkLgb4X42PExIcwPGzwqykQEQXfD1XCoj/X3sL9SqXcftvkqXKYtfd/6OwQP6omObVnh/0kcYMvxl3Ww+uQGy+f6KDKWMCS7JTVT5rd2uNiNX35v7Ev1FZTetAsKFgMBAvNi3H51u3riBVStXUEUWSw1KrLjsVLncqXNnjHztDRr8jCg7UyWGmfhZP4qLw1sjh2L3ti0Y8MpovDjyLZCvm5ZipwCbTJuWLsDR33egbJ3GdGwPisiPEg3b0yBm9sQ0GWjL6RsloC0CaxoEXSfdsMgja9fxJk+w9Sv1iz03kP3cGW0eGI2w2udkE3J3NYsykD/LgyoVPOXhLSTeOo+Qsg0YEBD7IvHFO+y4tXMh7v25FkEl66Bgq1Ew65nRyEBAathEe5+WgocntlOwHVG7I7yCwmELzkMDWjH/WgkoqSKTKynAVKm/BP9BbjZOfQuFYD4iMy6yLMx0nN3ig5vXcPrgXgSGhcFq88Lh37YgumxF1GnRHt4+Pqpo1arH80ySqDTUZ48dwvRxr1CN06ufzkTV+k0yjFL+MPYWDmzfjKvnTmPo+1Pw4/zpqNaoBQpEl2JCYzZMxMVza0G2NkZv1XxBqJL/P28yri12hwNNXv0Op64/pmx2/OGlCKrcBV5hBajZOElvQFhsYjIrstpeViP+mv0GGr09E/7eNtlknAZAs7I5MRtPeHAHf2xYgUGvj6W/SYqk21cv49yJY2jfqTMdyEh9OnXsL/y65Re8O24MjE4HZbDTkxPx7qRPMO3r79CpRWPM+WAMQv29qQn5xJnfoU2tSqhULJ9kNp6uTvFFg6Kx3IuUzZb9eBQNCo3anA2QzX57ypfN823rBEXT2Vc8/98Xr2HOmi2Y/+4oZR96Cxo2WxPkTHV/MGDfXyfR/+3JePTkKRZ//h5aN6qrtCAt0ywt373/kPoNEzMsxfxbG9CMnZ+KfwKbnmHObBUjDhWrbfL2g9nLF/+2QsYFwmqfu8NMyCmbzRVLBNiajHh65S/c/2srSvaeICuceB/JGW7eR1qFdVp2m6+PvXQaf/y4BH3HTMLBLevRoE0n+Pv5KanAJOWmweHA3CmT8P38WWjWuh0++PwrhIeFUaBN+3UxQKYOq6BVAIp9lvJbKSJzI8J2N0FRe4yn4VJH0JM35XC017se/3nowJ8YMXQwHsfFYc43C9C0WQuP1+f3Rvweff184e3jq+73xb5f08erzMoFljurjHaRYF8UC/v3tQVy74kpKZS0JvWqaxcpF7RoOi5HApbf0jMx2hcuX8bRY8fRpWMH2rZkzk9QWJI5Eabf/WASvpo5Gx3at8PMr75CWHiYvH3K1KmoW7cetf5gzyI9E3826c+zCJn6QMldbvn+++/h7++Pjh3aC4KDCKIzA9nPLgrvP3AQA4e8TJUPC+fPQctmTTPYm137buw9Ni74inVT717UL1I2dc/wW+vvY/Lx/1eYjOu1hauPEmmmiZww2dDZn67zALTJ70sXL+LYX0fRsXMXOZ0XvRd2Q/IrT09Px+SJ72POrBlo0649Pp82HSGhYfK+Yj8lH6/TJrJS1GOC3nNw3tm9XXgaM1TPpXct6YKe35n6HNy9h4FdSKbcbE4CmpFxYeyooXgSF4cJX86llrcUXNuduH71CtYvnIMqTdshJH9hWPyCqen4w9i7cFm94TTZJL9txmSL5uIKe62kAuaZOjjIzk7pXbUAelUtgOdZnjvQJuX83Xi8+PWf1JZerwZkKSBRhncpVG7VflzIFzRNOsjt8bm9uLl5Jg1Qla/FKAQWV2t4lbFHYfEU0M2W487uxYOjW+ATUQSFWg6WmG0e2EptUk4ZEgE8U+ZaMDfnv7mQKJuQU2ZFHaGcnlsnGjm554d3b+HqmeOoULsBfpzzBe5cu4TiFaqgde+XcO7YYeQrUhyhEVH0vgRIoHrlZEpPTcXKOV/gp8VzKXB/9ZNZyJu/EN2HBN96EHubVvCwiCismvMF4u7dRcveg6ipzdPHj1Cmel0EhYar8mgr3yoDE3H5E0qiqk4HpgX6Yb5WdPoXmYxry8nLsWgxdiUcMCHl6n4ElmulRBqnQNtIgbacP5v4aJuBtLuXkK9EeWomLvtlS5HGva1maiZucqQjwNcbPhYzjcjsxUGIVMd41PGTx45i25bNmDDubRiddmYqTqONp2P9pp8xbMz7NOje3A/eQtt61bB0w2aYnE50a1idmZRLftrMhFzy03YQH22SS5ukROLfRGs6LoBsFSvNFXAiEFd8rhXgbNL4bUtAm7AFHvy4FZDMBgMSaXz22OEoEJFHx7RcDe4VkK0A4dT0dEyctRBffLsc1cqXoqZOReWgZ2p2XIVONKA7o5zXKjCtAtRqk3FlO79XEbAbALMFFv/QfxVrIZYzN5+g25e74ZCCQHFrDhF0k/AqT6/8TR8npHR11odKQFxUUKoUk9Iy7T/lZQWMm1xOnPh9K/ZtXIluL7+F0pWqKtuFKOV/bN2ET8a+DrPFgomff4VmLVpLik4BaEugWwTKoiIwK4KWnlClBd2qfbM7XGqATlYHfE/X5iU1NRWff/IR5sz4iuY+nfPNtyhcWImm7Alks0W1QPq8gDb/7Ws1o2qBoH/tuEBMyJNSUymQJkB77dq1AtDmOWx5ijmZNcgx0OYfM8O4EUIfte6nTRgx6lUafXnWzBlo06Y13T5n3jxERxdHk6ZNnxvQFm43Q6A9efJktGrZElWqVM4QXLsD7awA1owLaQuTPvkUX86YjWpVKlOQXbSwXipFUfbMzvWEb6uzPjvXYSbjzP3x31iICfn1R4nugDoT4J0TkJ1R0QJtXjb9tAFvvDKKymtTv5qJ5q1au1la8uNzArJzC2x7eii9e1GJKqr17u+Kvxfe9/LMDjyQWWJyCqZ//jEWz52JUhUqY/wXcxEWVRApDieeJiYhOc2OxZ+9hzqd+yKscAxS051IsTtYCs90h/ybAmwHA9pqE3FuAq7GfVrXLF3zeY3WLjrcFzM6V3iubPY/BrRJmb/zIr7eeVHvFlQypm7xICXIr1XsS7U7qEz4BFAm7usC0hLjcHvrTCRcPoSgMo2Qt8FAmd1WKqGS3xhasE0BNeBITYAzLRFXN0xHSJk6yFO1GfU1ZAHTJAGSp/ziUcllFtud0bZqgqSp8ncLoFtMO0buiwWJUKcBI7edmpJMA8Lt+WUd7ly9iGqNWlI/7z+3baImIa9+NhurZn+OJ3GPUKBYDCILF8Psd15BSlIiGrTrhrI16mLflg30vYz4eCa2Ll8Ihz0dhUqUQcU6DSmwDgpX/H60A60eUy0KV6pvqxGwpE8o7KPu1MgzdikXhVC3CNr/rvLFqoOY/MUsBJRuBpPMZJtlJpvMrUIgtKtbvkXFzkPh52Wl+YiZfzYH2dLcYsKyLz9E2x59EVOiBAXZSiA05rbAQDewZ/dOnDt9CqNeHuYGtMkyyX077O2J+HnnHrzYrhl6NK+HP4+dwoS+HSUfbR4QLV0JiEaBtoNQSAKjLYJtpd3IQJv+ySLQFlhrEXh73iYx3xQws+vMXrOFRvQd1qWVmvHmIJvs6AbSFfB64PgZDHn3M1y4ehMTXxmE0YN6wWQi5vSeQHYWgLYn4VZmrZEDVpvNzQFh1IXm31xmbT5LTcg5Yy26SzCLICNcznRc+3kWvIIjULhZX5nxpv2e1IeydIqKuw3vS2mdF/27hTkxKTfDiQ3zPkexUmXxQptOsJGAagLgjn90D1PGvYE9O7aiXdeeePv9yQgLC6PVg6gBuNs+F+7EIioS2ZKw4MYU6Psl8mW+Z5aEKeka+sNm9ngVT2D76OFDeH3Uy7hy6RLGjJ+Al0e96mYqrrp+Bv02njPQJtuqFAimlkD/5kLMxy9duoxpX36B6dOnqxlsFdDWAGwNqHweQJvsR5hXArZ/2bIFfXr3wicff4yly5ahUqXKqFe//n8caL/00kv4YupUBAcHPSPQzt7dHjx8BMNGvYaLly7jvXFj8PqoEbR/0i2q75KN62QrbVvGYJ74Zf/bx4WHial4lJjqAWSLKW3FflJnnQeQLW/LAdAm5W5sLN4YNRLbtm5Gt5698d6kjxi7LaabzQLQ1q43eFrOJtjOSvEIuPXWCedWglAqftLEVYqA7KOHDmHC6JG4fuUyXnptLDoOGA47ISjsThzasxPrFszCwEkzYfYNQnK6gypVUtIJy63MCdAmgJsGOZOCndG+XrqWbBoumoBr75nLlcLLk3Gb9DxEJp7TvRKK/ANWTv8Y0Camgn2//hNn78Srb0D44xlnq/0ehA3uTLUWiAsfRRmXlP04CKCbnC48OfMb7v3+Ld0WXqs3gsq1YKmYZJlX+WiyKaxkxk2jkUsMtstpR/z5P+FXsBQen90H/4KlEVCwpJQ3VmJtJJZaNCnngJsJewpL4x5ETe3nzaKfe86xrQ2Oxl+7uM5ht8NoMiE1OQmPYu9g/bczse+XtShUoiyGffglChQvle3vLnZWWtZa3EcE3uJ3z8hEXKs5rF4gCFX/hSbj2pKWbke1bm8jPrQ6TJTJVgC2RWC0bVYz0h7fwrVtP6DesPdlM3HKZnOgLYFtb7MRn78yAJPnLaEMtxcPECUw2Rxsb1r/I/3GL/bsoQO0CWhmQHrJ6vV489MZtF0Uyx+BP77+CCaXnbHZaaksCBoPiOZUgLZoNq60Swlpa10XsgS0JSDNgTUHwrLZuMlDVHJFULx48y7envU9Vn82lqbt4Gbm5BritVUm6FIDiX0Qh/HT5mPxus2oXCYG334yAeVKRuuw0CpUpGzzCLQ9CLgyS03enA6rrQe06eHKNmoa6M3SkfybCxkXun35O4tCLoBr7nZDYxVIrjjpT+8hPf4BVU4FFiql6m/lNIncakia9EzKFdNylqfb5LRj34YfYLVY0bhDd/j6+sjRySkgNwDb1q3E9EkT6Ose+dY76NlvIKwWi6qP9UQQeRph3YQnPTZGZx/2O2silZsyOhtFj1W/fy8WH33wPlYuW4ryFSpi+px5KFWmbKY3oQifGZtW5jrQdrlQMMgHhUP+c/njs1rIM2zevAXXrl9D/379JKCtRPqVl0U22w1APj+gLZ0ZS5ctx5ix4+hpatWqhdGjR6NW7drSM8h38o8D7c6dO2MtMbnXUT5kG2hnQSwmKdAmfDAZ3y9bgUoVyuOb2dOpb3umptw5eBnZy42ufR6lkFRe/+l0XlltCzfjEqk5sTvQ1jMj1+k7PYDsrILRjIA2BZpOF1Ys+wHvjx9L1701fgL6DniJyRdZANp6Mq/e/XkcCzyA7ayW7CA/8dyKb7SU+5q6P8Ti80nvY8OqZShRtgLenjID+YuVRIrdiaSUNDx49Ajrv5uFFgNeg9PqheQ0B52S0uxuAJsz2xRgEwbbQWK3OJDy6C4sAaGIO3cISXevwmC2IG+NtriyYTqcjnSElqlHs0c9OvkHrH5BiKjRhgWw9g+m7nMyMUp1YAYMrFUIL9Zglrn/M0CblPN34tFn3j5qCiDcgsfKr2IA9HyBhV5cYc/UJ3BpNSByv6vWiogA3J78BA///AHxp3fAGloQYXX6wadABWZ2xiu2yGgb1aw2F/74urS427h/9BdYfAIRWbsdzBYbzF7El1sSEkVzSOE3E/aUZR6RnPt1a9ltbkbOGG01yy2blHswx+HPlZaSgh1rluCnb6bDaDah68tj0KBDTwrANZ8sS0UNht07LeUT6vt683Nws3N3MM7OS0zGCZv9bzUN1JZT1x6h85Tf4DSaYaFA2+jGaHvZTHhwfDfCChRBVLGSjL2WTMZ9CZgmKb0ksE0Y7AO//oTm7TozNltgtLVAe/F3C1AwXyRaNW8qAe10N6BNQDQxE79/7x7e/Wo+vl27GeWiC+GTYT3RqHwM3Z8y2kJ6L5nVltuaBmwLPtlyEdoTdNJ7MTDNWWsN0CZgWErv5c5mKybmRCvaccynmDlmGApH5XX39RYBrmxObkRKahrmrtiAyXMXw2wyYfIbQ/BS13byQPrcgHZG5uMC4FaAtvpYg9kKc2D4v9Y0UFvO3mIm5EQrzkE1A9hSPyrEu7AnP8X1rfNhtnmjWIdXmHk5DfCnVj5StpvUd8GcXEkFxgC2GnSzvvbIr+txYs8O9H/zfURE5VPMyU1GmvFhwZcf46cV3yO6ZGm8+d5k1GnwAu2T5eqbVdbCAxuhZmQyAd3ijwzKs4zwvL2mJCdj8bff4Mspn1KrkHHvvo/e/frrBjzLKcjmv0UXo6wAbfZb8snWpPkiLjWV8v17Iu5nVm7evInY2FiULl1Kylkrmo2r2W2PbHZWwJwKaOv3UWJ/o1X43X/wABM/+BDfLVyE4sWL44svv0SjRo3k47XKc+V2sq3uyTLQ7tSpE9YRk3uVEiKHbHYGjYakEfv624X4eMoXtC188O54DOzbGyYpSJR7UV5CjlOIZZdt17n/f7vJuLYQ8HUzLilTNlsrz2YEsuVtzwC0ReURme7fv49PJ3+AZUsWo1TpMnj3w49Q74WGrN1kBLQzUcDKv3XW5xhsq/pj4c6yof/hCkwC4xISk7B04TeY8+UUat039K0JaN6lN9JdhMV24Pq1a5j34RgM+WQuXBZvicHmIJtNzFycAey0dAfS6dyJtKQEpD5+gJS4e7i7fx2sQXkRWa8XUh/fpS+P+HVbA/PAkZZMrXENRC5z2pGe8Aj2pCfwjSiGR6d24/H5wxRsF241hG63+PihRIQ/5vSsTPHW/xzQJuWHvVcw9Zezwh14rhduoFm94AauOZD2xGbLQFvnt9yghA4t5d5FPNy3CKmx5+EVUQrB1brDJ18ZRaCVtCNKqi+FYZHZFpHpNhmQdPscbm5fiKBiFZGvQXeYbTZmQi4w3DRCORHueMAfnRzbDGir2Rs5AjVPR+MBbOuZO9rTUrFnwwr8vGg2nsY9RL32PdFp2JvwCwrWZWqyWz21gpT2O4vaP/dj1dF71ceySO0EZAd7/7tNxrVl4W8XMOWn0yqAzQG3zWoCEh/A5ExD3sLFWcAzwmILAdBIcDPui5348B4S4+6jfMXKMsimIELwz+bzjya+h+7duqJcqRIwujijna4C2mROTMTJepJLu0G/16hW8c+T51GnXAze69MG9UoXVQKi0WBoHGgrH1RsWzJD5jaSKEBbMeHmoFcB2qIvtsqknFqc6LHZbHnq0vUIDwlC/7ZNBDDN2Wx10DMyJ37YC37cjM+++QH3Hj3GoK5t8OFrQxBKTBJVo93zBNrktwcwrWW1NQDcQoQp07/bNFBbFu+6hE83nFKAdSZze2IcXPZU3Nn7I8LKN0Bg4TIwW6ySUYISF0OO0K8B1SKrzSw/lPUPrl/Cqb070LLXAPj5+MDLYpbaD+tvL574C9MnvYMTRw+hco1aGPnWeNSoU0/K8JD5s+qDBvdUNCJ77YnZFtdlVHIyyBsk39NlSxZh5rSpeHD/Pnr37Y+3J7yHkBCeDzhrJUsgW1rJBdjsAG2yXcmRygA3iaRbLiqA9pf/TYUEXbKnp0sMttMDm01+64DsrIpzWqCtBdlaZZ9qP2Wf1m3b0ajZhw4dQp06dfDOhHdRv359D2yeSrTP2i1KS5kB7cePH+P111/HooULFTCty/hnF2Qry6QtfLd4KaZMm4579x9gYN8+mDhhLEJDQtTfQix64DrHInd2WG1NMRhgCcxDWcD/pvIkKQ2PklKzxWbnBsj2BLS1IFvahZa/jh7Gu2PH4Mihg6hRqzZGj5uAWnXqaYCt3g+domXmMwLg8v5ZezreCsWqpHrGDO6NbCJ9bFJKKpYvWYR507/Aowf30aFnXwx6Yxy8AoIoYCZMNsmyMuW1Qejx1mT4hkdKpuJOOmeMtp0B7TQHDX5HQXa6kwLt678tx5PLxxBerR0CilVlzZm6AanvWLEwVtz8mBikdu0lryY9/j4u/fg5ijbqhnWfjEKh0H8uMOY/DrRJef/H4/jp6K0M91Gx1aoN+uBaZEaVsYeYHriz2izHr2hOLkE5DgxUYN6F5Jt/4cnRNUh7eAW2yNIIKNcGPgUqMy2KhFplcM2jgIuAW9pO0zZJ7EfC9eMIKFgat3cvQ1RdErU8TPY95NF1OQvjnmebbVPl6BZMymWgTRluZVkE3rzRJj99ij9/XoXfVnyHxw9iUaNFB7QaMAp5ChTW9TsUG3X2wbba31r81voGOqpPrgPG2Y9WJfOicPC/3zRQr7yz4hg2HbutYrQtEtA+u+IzlGnVG1FFY6g5OAXbFGizAGicufYyGbHv5x/h4+2F5u06SSBbDO4kMNpGAwYN6IfZM75CoJ+Pwmg79IC2xG6np+GlCVPw0bCeOHzyLD5csAp/XbiG+uWK45V2L6B5heJMmHBKYFtgs2VFFoPaOoEPdZhsLtSJ5uC0rXETcg3QdmO6eQ5uI05evoGPFq7G8o/fVvJyS5Mq1zYMePw0EQvXb8GM73/E7fsP0bttU7wzvD+iixRwFzRVJReBtrivbLYp+ZlnyGqzuTkwDEarN/4by7gfjmLD4Zsqk3DFUkhy0RHWkSnp7iU8Pn8QoWXqIu7cAVpHQkpWh2/eQqz/o/2nFFxSBbIZq60G3ybYLJI1iNmIC4f3Yvvyb9Hn9XdQrERpVaA0i8GAg79vx4IvP8XZk3+jWq266DdsJBo0biZFcdYvMvOgYapFZobtpxYk+TrWhsTfnk3Wn6U8efIYK5d+j2/mzkbs3Tvo3K07Xn9rLIoULZbtc2UdZCvjQFaBNu9Z5DQvApsdE+6H4H95vA5PhQQgJbFP3KKNawF3TkB2RkBbq9jzaFXDtpNIzSRC+pYtWzBp0iQcO3aM+muPfOUVNGvWQhXFWf662UDacp1X/XZvF4cPH8bWrVsx4Z13pPcgvqdnMRd3URC/eOlyzJg7H3fu3kXPbp0x/s03UKyoEvhPOYcOsM4OXfg8QDbxyw4I/a8dF+4/TUZimj1LbLYnkJ2TLlILtLVkj/tvhi22b9uKqZ98RFOq1qpbD4NfHoWGTZpr2kIWiof6rtkly2BbC7A99sU61Yy/BZLGccUPS7Hw69m4d/cOWnfqhoGvvIm8BYoglZh3SyD7yL4/YPELRGiBaKQ6IftjE4BN5gRgc1abAGwGsh2Iu3wKjnQHTF4BMAdEMGWq5KOtskCWn1kJSK0F1yoSlMsUznS8XicMXRtVwz9Z/iOq3nfal8GV+4k4fv2xZotaxaKq6OImXRNw5SBPbDbViIjph6RAKazyCUCbR/aUildkWdhalUHKjb8Qf3Ij7v86BWb/PPAr1Qz+MQ1gsvnBJQuARjjph2Vz8pt8ZLrOSda7qFmkb4FydADzj66GCz9+gQIv9EJA4TJwmV2Sj7dRGitI5D0XHASEO1m+VyI0Et8IMU0YyeHNltnxMoststtGkguWLd+/cRl71n6Pg5t/hCM9HZUat0bzfiMQUagYrcAksAEdhjU+tbQiS3l+tcVTE3dlAVTrN27tdvcjaxUM/q8F2aS836Ucbj1JwenYeMq60SjzZiPsTx/Q7xRWsLjgwy8oVITIx2Q6f/woegx+WcCROppfaZnkNw8I8Kd5t1kRhDaVVl9RWhWOyoNrd+6jZa3KaFG1LDb+fhBTlv+MLh99g6IRoRjWog76NKiEAJuFXsPtc1KcrQWU0jY9kK1dFidVui33vNmcFSf+v2NmLsbCia+pQbYGsJ67ehOzl2/Akg1bqf981xYNMX5oH5QsVlhJ/+WxZFdHzvI/0Xck5blmm/iy5nx0lc56aSPPnUm2m3wD/2uFKVI+6F4BVx8k4u9rj1mucNINk9dPgJOUF5RUS6qDoWjLAK+wIogIL0rXhVUORcK1E3h09hAMZhuS719HWKnqtC9lylUpqAplPBVgJqcJEZWBLqBY5TqIKByN/ZtWI6JgEXjZbHCayP5GuExGmt6wRoMm2P/bFiyePQ0j+/VAgUJF0GPAEHTo0Qv+/ur0Oaz9cWGfT8p3ZVWA+SSyZakNS8k6WBNi96eKqJqLqvLLF8/ju2++xurlPyA9LQ1tO3bGq2+8ieIlSuTwUtlPt5Llwl+KTikQ5P1fC7JJIekenU5iKSTkzs6tF6kC2cJKrd2t7nalD09JSaVyDulvW7RsieYtWmDTpk2Y+vnn6N6lC4oULYqhQ4ej94t9EBAQkD2Qnc1y8eJFREdH67PKOSznL1zAnPnf4vvlK5CWlo4uHdtj7BuvokRMcWGvzMzCRfP+ZyjPcDjxyf5vHhfC/LzgiE9CGvEt0hYt7ZsLRSFNdQJZZgCyuYzTuFkLNGraHFt/+Rmzpn2Bgb26oVCRoug/aAi69uoDP/+s+cjT8U5qbmIVEgE3lwzEPNsZSeL6rjrKsvwsmue8dPECFn8zDz+uWIb09DS0aNcRg155E/mKRCPN4aRTqt1F2ewThw/i56ULMOCD6UgnebXtTspYUx9sAsSpLzY3E2cA257uROzRXXhwYjcKtBgBg9VP8s1mQJuO0RJ2U1koCMGoZbmXE5wUbykiFhElhjcuha619bIB/A8y2qQ8eJqK3nP2IvZJioc+SZuyS5+5VrHSIsvNK5EksLlcUo5fDrTpXJPzl2qkpGBOGfRs6Q8uI+HcDiRfP0IFce8CleFXrDa881eA0WxlrLUUqEllRi4FQXP3PSSDlQvXN8+Gb0RRRNZoQ6NQsyjlLDo5NxUX09eIpuQqf22RvZbNyQ1IfvIIp37fgr+3/4QbZ47BNygEtdr1RO0OvREYlkdXO6gK/iYtiKBNW/Q0atr0XO7bPaz3AK55KR7qi2YxefDfXkhbeGnhQcSl2mElrLbFCEPyYwSGhsHXyyqx2GYW9IyYi1uM1GycM2+EwXYkJyA4KBDeFjNsUhAnhdGGbEJuggu9e3TDmlUrGJutYrTTlGW7YDpuT8PXKzYgKjQQrWpUkKKNEz9uOw6cPI9ZG37D+v1/U4VA66ql0KNOBTQpH03rpoqGUgltylwVjEwFmHV8sflvvo2YjUs+2lo2+8vlG5EnJAgvtm6syqlN/j94HI/V2/Zg2S+/0WjixLR8SLe2GNq9PaLyhOmCezWjLdRzNzZaLNr14nF6zLZWGSDup5fGi7HaRpsfZbP/28v9+BR0/+p3xD4hEWelusGthOR6wZfFKqUwvVSxmZ6CW7uWwJH8FDGd34DFy0tit6VsDpzFtmiZbA3TLTHhF4/ux87VSzBkwicIy5MHVh7ZXLAmOvPXYaxaNB87fvkJZpMZDZq1pBr/Wg0a07RIsiCgYav1AqBp2Rq+ns5VjLhnc/Wsyp4PH9zHxvXrsG71ChpNPDQsDH36v4S+AwchIiJCOVcOhFlPPorPymizuZTqRcNoB3pZ/5X5srNbiCySmvQUBiKTiGy2SlDKJqMtVRZVv6OjfOSNS+2bLVjWwIANGzfi1q1bGD58uOq7kHLgwEHMnTMbG9avo37MrVq3QbfuPdC4SRPaFnKb0f7ggw/Qvn07VKpQUVBKZJ/RJr7nP67bgOWr1+DAoSMIDwvFoP59MWRgf0SSlJCqD6QDrj2w4s9Vy5BBMdp8YPYPwX97IXFWYuOTaQAy3f4xE7NxQy6BbLHaaEG2qOIR+7ejhw7iu6/n4peN62l8l6YtWqFj1+6o3yjztqC9f+1YoOwnzD08rCeQrQXYvKo+ePAAP29Yiw1rVuKvw4cQEhaGnn0HolvfgQgOj4Cd9E8OBq5JfmzCZBO/7N9++hElazeCweYjs9jJxGRcMhen7HaaMhGgnZbmwMMzB+BXsAJVZBPgLQNtitskoE06eqHf8uS+K+MtAWO1qhiFDzuVw3+i/MeANimnbz3BgK/3Uw2HXFzZMAuX7fYFICeAdJVPNv1QDjipHykzx2Kgmw1iCsstrcvCa3EmxyP5xiEkXz0A+5NbVNj1yl8JPgUqUdBt8vKTADf/6AQwuANuxaTciYd/b6P7hVdsBIu3NzMlF3y45dQzkv+2mPaLC3yimfjTezdx5fAfuHT4d1w99ie97+iqdVGhcVuUrtsUNpsXY4hUQqAmaJq4rBLyeNGYMwrL2sac9aLOua0tefxYvmwC7v4Xytm78Xht1d/0Q8Sd/RMJN86hardhFFAr5uKCXzYB2hIISHx0H9tXLcHg0ePoNqsmrZdoNn7j2mXMnzsHX0z5VAbZisk4X2bB0BQf7TT8+OsuxMc/Rb8W9ZSUXlJ6L7LvrXsPsWL3YSzffQSnb8Qi1N8HrSqXRPOKxdGwTFEEeHupH1iqSLogm3eios+1GF1cFXlcMCkXAqA9SkhEv4kzsPGr9+Ttl2/exZZ9h7F5zyHsOHiM3kbz2tXQs01jtG9cjzKWsml7Ruw6fwBVI8gq0BbWuzFLikm4R/NN2QRdUEiYbTCFRDLlw/9AOXXjMV6ctZcO4KSIgyn77f4+FQFLPdCmProBa0Aw0h7eRFB0eRZwUuOrbaPKK8lXW8e8nKYHMxoQe+ks9m5ciYFjJ7E0YDzSOe97SUo1owEPYu/g1w1rsHntKlw6dwZBIaGo16Q56jVuhlr1G8LfP8CtL2UxWdT9aPZMylVvIlNz8mtXr2Dntl/x27atNN0fKQ0aN0HHLt3RvFUbeEvtNTeIIlcWhT72OztAW/HT5kCb9H8xefz/a4JiZlacDjvSE+M1wFELILMHtLMbadzpTaorAAEAAElEQVStb5aO6T9gID755BOqjFF9F+W2cPv2LaxauQIrly/H6dOnERoaRtnvZi1aoGHDRpTpzg2g/eKLL2Le3Lnw8yXWbaLQmDnQvnz1Crb+uh2bt27Db7t/p6ubNW6IHl06o13rFvDyksYuntdcWzJ87/85kE38sc3EL/t/pC2k2R24H5+sgGo9JWVuAG2Nwk/8dLx+q/orrTm5GxBnf+7cuYX1q1dRhea5M6cREhqKxs1bomHT5qj7AhsXxOLpGXSGP9X+mT6fTt/Kt12/cgU7t/+Kndu2Yu/vu+j6eo2aoF2nrmjcsg0sNi8azDrdSSaJoZamx/FPsfiLSej+5ocUgFOQLYHqZCEAGjUf50HQ0hx4eu82rm3+FoU7vAWH3QlHuhN2u0Nis6X0XpwkJdhNsGrUBqMWATbPWEKIynIFg7FgUHU61v+/A9qkbP77NsYu/4suewTYMpD2YBpO5TE1QNeah1P2WoqKzME0BdSyKTmbc+ZbQO38pPIvVskF1o2YWj+9g5TrR5B6+wTs8XdIiEfY8sbAFlES3mSeNwYWb38YKMAm4FkC4BrAzVPbkCjlCddPokjrYfAOJnlblTzcPGcs9z208CBqBgOSHt7B/Qt/497547h54iDibl2B0WxG/tJVEFOrMco0aAn/4FAh37Y6Irm4PlOgLbIt/JXIL4wdJwpJOSl6h/laTOhWIQp+/2VBbjIrO8/fw+fbzuLwrNFo+MaX8PP3ZUBbANuUfeMAQQqEtu/ntbQetOncXU7pRcG2GAhNAgWbN25A/OM4DOjbGwaHDtB2Sssya82A9ra9B3H64hWM6txcF2jTYGgOOxUMT167jVV7/sYvR8/i3K379N5qlyiEOiUKoXrxAqhaLB+C/HzkOuQmzFHGWp3TWjeNlwy6Fd9tDsLfn78CMYXz0/ZEWPffDv1NTcQtZjPqVi6D9o3qoFuLhggPDdGYo2cVZOsNaxpTS3lR3NeQI3bJY/Rxoxnm0HwwkHze/0Pl56O38Nb3R+T3onr9OiKF8ko0gSlJbi57Ki6v+xxRtdohtFQ1ymxzVtvC2xNntj2BbSELBAmUduPCaXQf+ho9ngNts0GdapHc0sUzpyjoJnm4r148TxmNStVroXKN2qhQpRrKV66KwMAgOUAlfzpt0B9kxOAIv9VvSFrpcuHG9Ws4cvAAZVeIAHXxwnnKplSrWRstWrdF246dEBoWrnq7+kA+e0ULpDPaphVu1eDNA9CGxGqTiPUGUJBNvtP/UnGkp8KelKCARY1/NilZS+kl9jeiAlD/t3tqQQVo37h1C2PGjMGyZcvchXd2Eflr0nVOF06ePIHVq1Zh6+bNOHfuLGW6SVqw2nXqolr16qhatRoCg4J06nTmQJtEHCepvdRR13WAtsuJq1ev4c+DB3Hg4CHs3P07zp2/QNtCnVo10b51S2oiTpjsLPlfq965h/eflX1yrUgvhVjcBOZllmD/QyUpLR2PaX5tqY/UDK/PE2iLwDknQJufkygEz5w8iZ/WrsaOrZtx8fw52hZIX1y9Vm1UqlodlaqycSEzZhtZ6Ku1NY7fOwkYeePaVToukABu+/7YjUvSuFC1Zm00bdUGrdp3RmhoqJLOyyWBbGou7qJMNgfbsyeOQfXm7VGoXFUGrNOdbmA7KZWx2mR9WhozHz+5cALyNx0Ci38e2CWg7bA7KOgmAXjJXMZtFGhLb0S2cOMuukz+kzGVRFLmDfLG8lfqIk+Ahuz5/wS0SZm+5Sy+3XnJI4PtyTxcy1orx0qmBirg7GRstoMAahK0SQLbAoMt7svWsRtRUoDxUU1q4vKHVpg0AggcSXFIiz2DtLunkfbgEpypZJA0wBIUBUtwfliD88MWkh+24HywBITB4hcEE8nJysG2BKhT7l/B02snkLdaC1i9fGAymxhAd6TBnvQI6Y8fICn2KhJjryPh7jU8vnEeKU8e0VsMjCyEqNKVUbhyPRQsXwNefv5yGjAy52aM7rm3Fb9uGVSLoFuzTiXwCawL/yl3OB7yEWa3kPvvXC4SEf7/uUbzPMviP69g7YGzCA7PI7HXJnhZSRovZjou5wI2KUD79w0r0aBpS4SHh9H9CbgWWWwOtgkI+PC9CejTqyfKloxRQLVkMs6WFVNyBqSZ6fi6bb8j7vFj9G9Z3zPQpu3LoUpJczU2Dr/+fR7bjl/AgfM38CiBpOswICYyDKXy50GJfOEoERWO6MgwRIYEIjzIHxaLmOdaDHomAW4hxzbptO/GPcXNB3E4d+MOzl2/g9NXb2DPsTPU35qU4gXzoV7lsmhRtxoa16iIAD8/FYjPOcjWDGtZBdkym8SKrvk4/anNmS03Pmk/I0wh+WC0/m+2hS83ncY32y+wH1rFhmbYkk3JNcFPqHKSgG1nOu4dXI+CjXozE3JpIoBbya+tFyBNnf6Lpls0GvD72qV4cPMaBrw9UQHaArNN+k8yF/vHOzev48/d23Fg9284fuQgnsQ9ovdbJDoGxWJKomjxGBSNjkGhYtHIGxGB0LA8tC2Iyk2lz1X6Wv5qkpOS8OBeLG7fuoVLF87h0sXzuHzhPE6fPEHT9JFStFg0qteqg4ZNm6FO/RfcWRSNwJYbZFhOQTayCLQ59iwS5kvTHv4vFntKIhypyTJYVL2kzIC25iPqB0CDjtm4GNcCqr5o4MCX8Oabb6JU6dLsnAIY0QPamtvFtatXsW3br9ixbRsOHjiAR48esnEhpgRKliqFmBIlEFMiBtHRxREZGYk84XlgltqCdKfybRFhvEePHhTEc6CdlJiE2Ni7NF3a2XPncO78eZw/dwHHT5yg+a9JKR5dDHVr10KLpo3RsH59BAT4CTepthhQvWed9Wo05knSyco+OS1qJS9J72i02PC/WOKTU5GYanfvF3l5DkBbD0jnFGhrwTsBu7t2bMPvv23H0UMHEPeIjQvFiscgpmQpRBePoctFixVH3shIhIWHU2DuCWxrCxkXSMpAMi4QUE/ANFG0nj55XB4XihSLRrVadfACtbpqQMcFVbBJJ0+dCOaPzYE2NxtPd2Dftl9QrkFzpNi5ubgCsFOo6TiLMk62pQom448vn4R3ZEnYSe5su5PNCdh2OOC02ynoZkBbskYWHpgRgZKrrom46rLsNNwS2MtmxpKRdVC+YDD+k+VfAbSJ38Xby/6i7LYaYJOtHphrGYCLkcOlOQXZImPNzQ7UH8xtuxvQVqKRcz9u0dRVDODETL+ljy75jTJQYIIz6SGNWJ7+6Cplu+2Pb8ORLAaCM8DkHQCzTyD18SYdpJGkqjGZKaAheeHS4x/A7OMPe3ICHCmJypFGE3zC8yEgsjCC8hdDnuLlkLd4efgEBgv+2gw4iz7cYpovJVgaW0dzcZN9pMbrkd3WMN3C48jr2SfJnYA45GwtSuSh0WT/V4vd4cC8fVfx9+14CpoJ08bNx2XzVsk0nGwnURTvXD6HchUrsyjkcu5s7kMKhdE2GmjE1DWrVsIMp8pMXAW0nVqgnY7F67dQIbZT/aoZA22p/dCeWRNUkNSDS3cf4cCF6zh86SbO335AGe+7j5/K+5A6ExbgSydvqxXeNgu8rBaar5eYjqWk25Galo6nyam4FxeP+KRk+VjSuRbLFwGrxYyi+SMxsF0z1ChfEqHBgUrKL5kJ5hHHjTkD2RkiEE/76K/P0JST7st8I7UMkykoAkZvf/yvFjIujF5yGL+IGSoExZ1YVAFRhEwPBFQbzVKsC7MRd/asRHj5+vCPLKgyI3dL9+UhQjllwiUXHmd6Kk4f2I1iJcogqmBhlb82A9tq5STtY+X+0oVb167g5JGDOPX3UVy7dAFXLp7H/di7qmcKCQ1DcGgYNV/18vaGjaSDNJtpVOpUaUpMeEpTbyU8jZePJe2FBOAhAlqJUqVQuWp1VK5aDcE0LVcGdVeHNXkWsC1+JjdmJStCbRaBdv4gbwT+l6V3zE4hfac96SmNPaCw2krJMH+2bAauXuduIcPOJCv2PGz/Y+9erF+/AZ9PnSrdm3SP/F4zAdruDJsLly9dwsEDf+LokSO4cP4czp87h7t31W0hLCwcYWFh1K2BtAXSJswmE548eYKrV69SQJ6QkIB79+4hPl7dFooVLYqYmOIoU6oUalavgupVqyI0JFjXtFxzc1k0F8+KifjzNiNn38jkHwqT7b83QGxmhdSXJ0mp1PRYsa5U7/NsQDtrkcbl+q2t/x7bg34/p322a5cv4ejhAzh29AguX7hAwfE9zbhA4miQscHLyxte3l7UBZSA77S0VKSmpNBxgQS9fXDvPp5qxoXC0rgQU6oUZc8rVqlG3Zv0lAdkHXPNYdkcCNjm4DpN9s12YNnsL9B20GsUfItAWwu4kySgTQA2AdRXty9DaJVWMJi8ZYBN5tRHm4LsdDpnJKmUPlb8zpKFIwPaZhhNZjrnY/uXA6qjVeV8+E+XfwXQJoVECH7j+yPYcYIkI1cGUNFEXMVuywBO3E/tZ62AaQYAmH+2RjuiB7IF323VeeXhSgDYgvkCF9pFoG0wmqU0YCY1AHekwp5wH66UJ3CmPoUjmczjWU5ip+Qj63LARIC31UqBS1r8PQTHVIctOBxeQeHUpNw/TwFYbFbZjJz5ajOzch4UjVjSaYG2ynScC4YCKDdqgXYmgFssqvUeOpSclGbFw1E67/8usOCFRJT/Zv9VnLufIPmPMrCt+GUz03ACrE/s+Q2xN66g16CX5cBo2rzZDGQzE8SX+vfDmhXLVcHPFLNxBpqJSbkMtOk8DV8uWoWK0YXQoEIJVkcpwOaAm9RZBrSp4koE27R4qgGsEpFB83LsIwq4Y58k4t6TBNyPT0Kq3Y7ktHQ6oBJTJS8Kuq0UeJNUZnlDghARSqZgRIWHoljBKJgtFrR6bTJ+nv4+XdYGSBPN02XXj5ww2XrsterRdJhst/VZANpuLBMH2ZEw+mQteul/cyHjwivfHsS2v+/InYkcq4MXMcWHyGjz2BZEu21my46kR7j04xSUHfQprERQF8zIxckTu81iZDBlFuln42JvYuGkt9H71bEoWb6yCmiTfpf0mNyMXGtBJCs4hXUJT5/g5tWreBB7Fw/u38PD+7GIe/iAgeqUFKSlpsBut1PAbfMiApYNPj4+CM8TQYO05ckbgbwRkShUpAisVmuWwLKySRrdxOqaS99RX6jk254NaEcFeCPovzjCePbA9hM401IzZlpVRVJ2q/og6Y8Hs3Cln1EHkCR/SJTg9h3a4/ulPyA4ODjbIFvvDt3vls2fxD/BlcuXEXv3Lu7FxiL2Xiwe3n+AlNQUpCQTMJFCc46T9FvJycmoWLEifH18kDdvHkTkzUunyIgIFC1aGFYSjFAG0xn7cGfNXFy7jv/J4OkyY7uzKijpIUupUJDt9d8fCDCrYJso37WvQz3yZg1oK4YM/wzIVl1TU9zulcRain+Ca5cvU8BNWGgyPaLjgtIW7Onp8phAgLePLxkX8tKJjQsRKFikKKwWqyoGkmouPBMPNEkzHzkBO+l/nC4WZZyCbLZMFMV7Nv+Ezq+Ml6KPS4HP5HzZDrflNInRPj5/DGL6fESBNUnrZZf8symjnZ4uAW1G5LAsDARoix2fArQ5yCZzk8WEz/vXQKeahfBvKP8aOysCEqf2qYJR3x3EH2fuKSy2J79sFbgmi4KvtS6LrWW0Nf7aWoZbyFepYrXlOxZNxzWg20FMvDmotsPFgbbTLEUiZ6DbEpQfBmMhqYKwY+Rc2kIQNL5MpqeX/0LswZ9QrNOr8ArKA9rNEF8Gl4E2DCLk8RQ0BGwTAc4hpRUz032MdD+jgbHzNE0UeTQSwJk8KdF+04GWhdGn5t/So5K5LDS6FGZGm1GAGdZL63OpNI7+/wGySSHfcFCtQlh86DquxCWrUnoR4Z0HXSLzPVs2YMhb70rCOtvOlwl7plgtAAcOHUS1qlWkvKxiHAJZcyX8VueWv3TjDjo3qK5zt4KgpscMexQgFOEt0NcblYrlV4Cv6Jstss88XzYPgqbd12jCjiMn0aByWard1fVDVIHsHJqL643amdF+GQhHmRf+fVhaPWNgxP8LkM3Hha8GVsewefuw+2SskpOdzpU6JDLaUkYwWuedtJ8jzmXkE7lg9gtF/kZ9kZ6cBBMBog62n53WBxftF9nkVNoRBcFsvUGeyHVdCM6bHyOnzKNWJYRB8PPzZ61H6hS5+wwF2XQL6Rl5h8kbBl82wNc/ECXLVYChfEW5asoQiJuMC9XWnX2WVcHyK6JFuJS2Fmq6b9FDym1bbpTcVO1H/j8B2fzbEqs3u/MxnCR+hvyRVXtlchIPSjw3kK0DzGHAnLlz0KNHz+cCsrUlMDAQlSpV4nDJzdqC3+KihQsp092uTRtl/FIBaS6/ZfXKnvbVMNI5YrUzu15mx/JG6d4yTX4h/y9ANm8LgT42CraJ8kden4Nz/dMgO7MvLI4KvAQEBKJcRdIW+DZDhi4/2nMp1VLJqCTGVJAnoWpzkM19swkBJE9Clof7d26ierM2sqGNtqm5+Pl0mod3eAHhvpQXpI6zpcZuMiajzy3JgATXKNlA8XHfav8akE3KvypqCGENZgyohprFw1RstRw1XI4eLkyCbzWNKi4HPNNMUqAmNqWzya6eu4TfdFnc7jalKVM6mzuEdY5094mYGpKJMIvyejvT2jiomQSZnKqJBgeQAgM47C74FamE/E0G4tbvPyI9zU63kyldylUnTw62jjCBbCLaJ5fqN2GLSIh+hzy5dCeixXJKE2lgrKGxia6ncyiTvB5ZnlwZTA2KhqJ85P8PYMELYcv6Vi2ImDBfZqEgRJQXfe0HvfU+8kRGsd8yQ6ZYLEiGx7Rj3vvHH6hft67crRo8Btdx/wi37j9EvjDJ1E4rYIhsrJhuSCXEZSDwqdgUca4F7eLB6n25kmvxpp3o366JCvyrc3SLINvwjCBbvEdPRQuFslvE0ckFY0BeGH2VICn/HwoZF+YOrYVaMWFSyg8WJIVNrO8nKUDoeqmfEscKnh6Eb/MrWBYPju9Gwp1rrE+jE+sDSX9oF/o9Ninr7XK/yde7YPX1R3SFavjmo3ew99dNUp/KjuV9JTW9432mPBfTUik+cFzA4YG+6MQja2uYXXl/qI8TBSeVOk3btKV3rIiCgigpCI7POvHiLmTmHHXn9bf9V+fKzjHY9guCwWxVdStyhHDNxHp5UQr30B9LmzIKgHbz1i3s3LkLvfv0yZG5eC7qV1Tlxo0bKJA/A/NQjzmuPRflzQnHPReQrTlHVvfR7GryDYbJ+3/XpS4jsE0skujvZznZvwRkq25JWHDvr9U9rKe+Wnsv4v266Xakk6hYbmlZDIYmplIkywWiS6FI6Qoe27hBWBD5BjJWEaW3qlm5vQTBqpin+HJxTMfmFNNJOI/IBBN7VUGvBtH4N5V/FdAmhZjKzh1cA/VL5WHvWADUTIASooNTgM1TdimTaM/PPwjbh5geKBMH3nq/+dyRmgRnWgrS759D6tU/kHrjABzpKUi9vBNpNw/D/uQO7ARAyyBbA8I14JuDchVIlycG4hngJoEAiJ8CA9g0Ap802UIKoEDTQXh05k9cWj8T9jSiEGD7OIgQSIRBCrYVYE2FQ3FZEAa5AEnBdwZg29N6vk1ufDLIdmVpYlozLiCq/zWODkPlfP+/gAUvxES1V6X8KB7mK4NnDqgJyN7+4zLcvnZJBtgqYC2YpnJ56cjhw6hcuZISUEcIWmYQ57LmQ9mHmPMQkK+S0mVwnokYpQHinsCtCvxqU38JFiN6+5LtCUnJSEpNRVQ4iSTOr60HnnXuJ9vm4noAWk/YzQLbncViJD7Z/wM5UXM6LiwYVRcvlM2r7ttVlklc8crHDMX6SZuFIjC6Cm789oNclVWKwgz7PlEhKQke0u+BEz7Fkd934NqF89TMTlFIagUUdd5nEYDzcykKSKkn1JhLizmk3QA3f15PQqNYdMCQJLqxdbmNjlTSXebCradCgmGG+P5vBnvKrJC+jwRQJfFc5HXykivzPljFanPTCDHKuPZAZoUxbvx4fPTRR0rslWww2arby0gTk4NCAj3xfO+qC2kttp6liGOcqlHwMZAv6x6cMZOQbYAu3ocLJr9gmHz+f1j76YNtLxpHQ78oFrEeq56HnNnPC2RndC+6INn9cdzOI96X/v0rG3Vq7/+xdxVgVlRt+L29XSy7dJegqICBqKACYncHNna3YGC3YmM3dou0IqCi0t3Ndu/evvM/58ycmXNm5u7ehZUf2PPqMHPnTu3cE9/7Jezvb3IvN71Lhg+eftDIAE9/FN4Li4Wv8uGpWmiXEsOaLx7XE5fqoV/6mrmUcXl0hIdWeaA+gSsxPH7pYbhsuJqgcXfCbke0mVD18hWHYOh+rQyBQrdOiDXV6BLPii0QbtW/37Bqk7hSe8JNy2lUF8K/9BsEV/2CWKASiisJjsyOcGZ2pFoTR4uegCeVkuVI6RoEln6N4NoZiAZrDbJtQ6yjHOGO2ljC1XMJyY7SrHuEOJNFrScnLhndD0Fq+95Y+/2rOskmNecYoaZLhFlhjEW1ZhsCJNtmZJxaaqJW4ZIeT+7B9gvHaAKihXAnsohaM8bzhvfIw/5tMtGcQVxnT923NSXb/GBFxpzfJ36HfQ88iI1FXPZ4s9u4A+UlJbRmqZdkq+TCIhyCa52VYJP+tbWgBG2YNZsfinlBIR7ZNluuGyLZNgKgrdXbEr/swNS5izD8EOZeZXNdy7M1gbu4rVxqfu6dhzO7DZxpzZNkM5AcBeOvPxzDD2gtKFdVLyYtN4Du5SSSbL1Za599Wa2Q0rKDagnXximd7JpIr4VkcyQ6xpFpYmW87P6n4UtNw4I/fjfINh0XDZKtEmMTAeeJu76fI9y2lmzub7Uj3AkKevFIkeBi2ESLeP0dJNkZSc3GXbwhy7Z9ZmnTWFwfydYGMJFkm8YuB/DDjz+ha9euNMu4xROiAZIt6Fbiceyd4MIkf0FycrLNDZsCJkVyfWymnksYG02laVDPcaW1gGsvToiZaF/ISPbZkm19BIz76uOTbP4aTUmyE2XajRmv2XhvGW9NJDvOC7L9Q8R7GvMM3wfoqEKJMCfyaL+JnpPEqYZD8uGPZD/JoUPGr2io1qiJzZFslXxr5VxpGWVyZePNKsTPSyPbJJzr2auH4OJhux/J3q1itG3dyC8/GLe/9w9++Hszl0lcs0yQ122ph22KtWbu5LpQxsi1iYxr50VrChHe8g8cSVlw5feFu+tQ+iPTbOOuJKOjkTgBT5q6kJ/flwlXelsgWKmmv1/xE5xpeXDn9YHLlwZHTEyERpOh6XGyXLwsS6ev6DlE1cBo+sGhdRwSj0COJ603huzeRyKn9xEonDcVKfkdkNGhJ1zkWBeJCIxBcfJOUGxRowUZ6C0URbVYsn1OFluoNnwSc0j3Ec0Vzb6ufacfo8Z6szhCdgy9eAOgMY9c3Al5jON75TebmOyGQAYokm195rpSbKkKULIdrK3GcWddAJ/Pqye340u0ma3bU6ZOxvBhQ62kmn6O2Vi5mWU7hn+WrUT/fboafU9Ykyc0DdIC6otp1uJNLb5FiGPN5t3RrQbjH2f/g4dGXWD6wkR663NNtyPZthaeevbvnAObCK0DOkkJr2bmLh4PRJh67frBuPmN3/Hdn+u1uHUtgQQdI9XcECoBZR4Y6n4j54A6vuYfchJqCzcio01nwbNGCGthITMaWY7SYVehsd/qQo4juS80sg0Hrfjw08dvw+32YN+DDjUenhzsNJx8daiPqGu9ybMxZ0h1tHZoMefa38KaH93gLqB1Edqt2fdkxKbWSnWs1s8Vb69/p4Ndy5qv2oT6vo0v4DVEsuOd2SojGRlJnnqfqFmR7dQsREASpAXYXtNB3D5+m+2wKCGt42BNbR1effVVfP3118KlGyLZ9sob+307M2oSok0SQNleOSGXjDgaIMv2DpDsBmncjsOVQRKfNS938fr6QnqyDzX+IIJczDYBR3njwvwzcjzc2NNEJDvRlqAN9/Z9g11HFIUsf6dtU46rWLXoIAxFtfBgTG2n5jU5eeTVggelOdmnSyPZavgjSdgco+uoU0H7o86FQ4mqpFoLjYzRba16iJZ7x+GMGqSb8Br27hWFen6+dONwnHHkPthdsVtatHlr3vOXHYTrj+upvVxuEawY1hJdus++xbItupiTJRqoRrSmBNHaErjaDICr9YH6BGSU+2L1tOOpnxRKuMmx7s5DAF8mopVbEKkpoq7mQnw3HyNOM+qxuHGSzZmPG4+oteS0WERm1SZu4jF9rYpCGV36Y+Okd1CxZpEqHGrW7ajZiq1ZvKmLeUMu4oKVxxA6hc+8RUYTNoX9zJWzvv+Y6yaxNLkdOKtvG0myTSADFolV379VBh2w5v0+DcecdJpaUoiPz7ZxGyf7Jv3yC44dfqxqwWbKHU0jaHED11xsGQGfs3A5Du3TI44Fu+kFiB1FYVkl2ubncoTcHvHjs2FPwm1dwRN3EbcqusRFFIA55QVJnNiykyTZNvPCS9cciZtO2V945byFl7Xl+uTsaCiAbTO/VM8V9E/GmCX8jjoZ5ywI3Lnsp3N7fLju0XHYuGq5YWXmxlGLGzkbA3WLNzd2aqVVeCu2/rzcmimBzcKUcb4pbpv3WrXrxQm6OtqPAezt1Hde4wRPomxom5UiSbYt2c6EKzk1TuRKPRS2Xt2g4R7+2GOP4eabb6YlteyRmLt4g3S0Hkt5Q++AlMVsEks1X85LHzx2ZI7jO1gTz5EOJ9xZ+ZJkm1+Lw4G0ZB+SvTuniIv3aylNQLJ35GHsRtd4D2s3zgr3NykT6oPhnGeEHwrVMjQvylCgDgXr1+ilgalMqlW/8eqVOhw0ObPHrZbGZFWSsjv3QfG8SaQKsliKkyaAZgmiteTSWlZx3WDpcKJFRjI+f/CM3Zpk7/ZEm4D8yLecsi9euupQWs5ItVSbrNEWS7Z9OS8+URr7LlK6HsEVPyEWCcKZ1Zm6g6vEl89WLvgdxllitF52eOWPiJZvgCOtDRzpbSl5Dy79BuGStTrBZonWSGkkPfka78KukWxaP05zH+eJtR3ZdialodtZo6n7YrCmSiPFKqFeM/EDzHr0EpSsXy66jetkOxaXbIvk2s4tPDHCXd+rY4JgixQPRvbvgI7Ze28NyJ3tC/u1zsA+GQ6sWviPHqutLmSQs3cbJzVFSemHlrnE9Zi3XDPSbWPN5tr7krWbsG+X9ibhhNPw2ozYy7cU4oSH38JP/yzfJe+mqKIKedmZhiU8Dp586xMcdOaVmLd0pY17tx3JjufC3kgXcTuX8rhu7Qrg9sHVqhvt1xI2r9PhwO1nHIhXrxuMZK/bqAzBEeyGBAlvWg7CtRWC8CTIxrxQYiK2hlu6erChNFTXSSlpGHbuJfh43BNYtXgBRl9+Nv6Y/os2nprdyHeMbOuPyT0HT7D1Z41DuF998VmcfPQRWLxwgXEt/k9P4B3WJ5Q2eF6CJJsIae1zUpHi3W0d8P7/ZDs5nVq3bRWA9mfpS7zSX2T/ggULaQz08GOPtY71XPsy/5a8wof/vGLFcpx60vGY+PNPjSLb9RGVvLw8FBUV7zidVRQ89fw4HDpkKBYsXKjvM7AD9nbzC2giOFweeHJaw+mNp/Ro3iB9ITXJS63bO4L6FI9oYpK9euUKXHTGiZj6y0/6/BHvoexVmfG/35mmOX7cszhj2BFYtlidFwjUMpXMHVy1WLN8Qe07d8PX418Qyger5WUZwXZqxJtbKKFWKykRq3XZoulCKU5aaYmW7DIItkq4DaLdu1MeJj1zIQ7frwN2d+z2RJvhhAEd8NW9Q9EmO9mwXPMu4pz7uIWMm2K2qSWbxEMHamgNa0/346i7uGD1ppnt7HRDIni3CsVfRrWNSvU2Lb41CmdGO7i7Dtdc04sRI8nVhAzofIw4s3arZNsg34ZFm8UUEnLMyLRqwVbg8PiQlNcVq794BqUr/lFJeUxB2F9LrWORUNDIrGsi2/GSnfGxiNR1UhAUTYTblCmeCYdCkqI4ZLtbbiol2VnJ0i2wIfTq0ApvvzoOqV6XTrbNbju62ziAn374DiefdJLqzs+FKhghC+yzus17cWwvLkWrnEzNQ9UgMsK2Tf9YvHE7fB43fl+2Dk0H24BouixavQF9u3e2P0w/3IGqmjo6mAdCYVs3SXZcgy7iCcZeWy3WDcORnEFJtp5ZWCIuTjy4E74ePQJtW7CyNmpbtL5tw8dO/8VdLnQ6/ir9LH0kr8e1jv/eYqHlyDjxFyH9Z99DjsD7zzwEl9uDxXP/MGLBuTG0PrKtKyIZndeVAfx2fILMW9r1v1NTBtRUV1OBJhgIxv977cZrO2sJ9wTm7yyL6ZnqAyHX7bJSqXAmUT9c3iR4SLJEYmoSYCLd/NildwaOnGv7iDfd/fffj0cefdSWYOifbLwfTEfoWLp4MXxeH2b/PtP2b4hPUuK3lvz8fBQVFdl8k4ACVPujqqqr4HK6EAgGE3Q3r/+ZEvu+cXB4k+HObk3JtkT9ILJHVmoSlYcaC2HstBu7doBk2zGJ5UsXw+v14a/Zs/Qv442dCc1J9SxmhZe5v/LXJvOCy+WiIRmCjUAz4KiGHMOq3bZjZ7Tv0h3B6irVmk0t2oRoq2TbSyzbGrkmax9Zk8Wj7ut09NkIVRZSizZdCOF2O1QLNyXfKsF2uj16newRB3fDT4+fg475e0YOJ4fC0pPuISip8uOqF2dg7soCPeOcJUZbS/kuJkTjMolHQgiumgRXdhc4Mzvo2cuFGq3kfxo7LATDcVsG1H2a4OMvgSMpR43DJmC1gYmGuKYA0e0L4O0+FK7kbL3RqHW0PabG5KHbdKHbWmOzqbWtNkZVO0S0QIiFsPrzx9Dj7DvgTc9S55pIEJ7kFKM8FCkZRbRNGknjtVFs0WMt2DE0QQGXdEsr5cTcS/QYYU2zaORS4betL/Dwzi0wpEsLPZupRGIgJdzWldTStcdJSoKpv6dHX5N9wPnnnoN33xyPjLRkOKJhuiAagSOmrcm+WAQg+2lpu5C6jkbw9pc/Ue3wmUMOpseSfSD9iaxJrgKtf/GEnXp3RKOYt3YL9u3Qik569cdos20tSwaJxeHqY+uftfrZxmeXVj/biZe//AU9OrbDsYf1F/bz12ClveoCQaSmpur30lsm90xmodMsqDYUuWoca9Pg6zs8M4/WyZZ9oXEoqQrgmldn4e81pdoYySZpbXzUJnF1Wx0/yectv36CzsMvoi5rbl4IYIvL2KZCg3YcEyJ0rT0/jtKxUhsnnQ7MnfoTcnLz0H2//eHzJuljqlGOTz1Wd83Txkv+e358ZQIPy4ehNUlOILKvO2z+TITDQJ0fKamp1lBecxO2a6sNcZh6dsQlY5xASEp3kUX2hcaByEDUUyPClImwUSZqMomdslFLPPTq668hKSkZl1x6qZVg8OETdr+rLSlXlUbz581Dn333RZJtXLV9W9Xbuh4fajz2Rx9+iLS0NJx26qlGyUrTWt3Pnkj0RFT/nhj8tXVITU2xIdrsjzHRlPoUAHEU0DsKZ0omXKlElpMyUmNADEFV/gANl4wHMxmmH4X2a6760HiSbXdP0uYWz5+Hnr33NXIMaI3fkaAoUW/0h93faauMFcOKSB+tq6tFUnKqvo8lACUKYL3UpbaEtfVfv05BjwMPgcuXTCseEbmUlBoORGIIhqMIRKIIhGMIkO1QFH6yDkcRDMUQCkexftpnyB1wAmKKG5FwFNFwFJFwDJFQVC9/TLx8rz+hN/Vm25P6wh6nJs7NSMaEe47FeYO725NsRppNsdl8zHZ423xqaXZktkeMJkhTXdB1okCgDexmPT0TUHTog68mKKXkUpJtTDhGwXVHaiu4OhyGSOk61YVcs16ba3vblSDjLdpGTVjVmq26yRvWZbi86HH+AwhWlcNfShQSgMOTpB/D3MXVLOMNWLMFl3LRxdywajM3cXvXSmrFsXEjJ7HFp+/bGkd1zd2jOs3uAkICeuSlUZd7MQmFEUuzaeNGZGdlIiMjTU++p8dox4yEfGryM27RPv80628cP5CVBONnG15dSiBOJ+T37N+1nT3J3iEYFhfRPVzd3lRQgo5t8qzHc3HYaiZLpypM1UuAufSZlkfg4qrjuYLX6xYe75ZOOHM7wpXVWvaFHUBuRhI+vv0onHtkF9NPwNqL9pp1gd2BSKAG/qKNOnkVzrERdth17H5RvhuIgouCQ4aegLXLFmLj6pXUas1nHhe9gTjLtppBgauJzeLBmSu51Y2ce5oGhT5VOexAMukLPGewuZzZIs3v3xHYnsddnLzffK18l5wXGg8yxnnSslX3YjuSnUCm8S3btmHSpMm4eORIW5Kt72kEyaZtzuFAv379KLFobPuJx2vbt2+PLVu2cC+ArRMff6nLsdYXbL5N/GGaHA64MlrCnZYt+8IOgCg0SfkvOzlE2RmSrTSOZJvzEqm9z4G+B/YXE/lpJ1qPN43R+v3Fv6W+Jd5zWVucA8kpqdb9ujMf70KuKoyJLJ+Skoq3Hrmbfqbx2Zpi2kcWjxNJbheSyNrjQpLXhWSy9rjod8SynZLfDuu+eQ4uF8lzQhThLlVBTrY9LqSlJOGVawfjjjP77XF9YY8j2izz7NNXHoGHRw6Ez+WwJEIzFnOMdgThbQvgytsXrpxuXAy2QbAtBn6qDbXqmPRkOZqQRgk12dKybKv72H5meY/C4U2HK7cnQut+RbS2VCDVdKGWdyNRm+7OzpK/6e7jjGQbcdR6zXHq8k6YlgerPnsSgfJi4biYhTzHcx83E2s+IZomKPLxhqzeuamoveA2rsUxZiZ5cMlBHdCnVcauajZ7JchAR5IEEcFUt6JxZb4+/eRjXHThhTopFoi1mWSzcAwtGVphSRlSk3x0ESwAplhYsz+p2oWaeCDk/Zf43dr+zYUl6JDfkjPtiVZz/RrGxUwXt25ad9olL2sCuL1wteoqk541wbzwxMUH4YFzD6AlIlnSOz6hC69/CVWWIL1dT1PyQENZZZQcMZUeYV46pvuLhFhcjjjhDHzw7MOoKCnRiDIfRiOSbet+s57LdA++C+pCVGJk2/I5AfrQKHdFk6QXz7rD1sQjoE1WCtJkZvGdr7WdmgF3MsnxEJ9QC/u47dGjR1OXcTXLrz0JqU/pErcN8YblRoCjGsY+7WP7Dh2wadMm0xl243s9jbDeO5tlwkZfZMfgdMOd3QquJCvpkWh8RnISu21BAiTb5hT2rfE5gXE2rsbS7gYJEGr++ROGTUdNpO8yVmMWr9RYbdVpcP9DDkOffgejcONaw7uSEm4HnZsJofZRsm0slGx7XfB5XWh7wBHIP+BIOCJ1lGC7vU64PS66dMrLwGe3D8GJB5FcQXse9kiizXDZsfvilyfOxP5dci2WbBZrqsZaq0Q1tOkP7Tuu0Lng4qPVp+KhC9VG8zPkbNGd1GLtdpiOY9aOWAyu/P0RWjuNxohba8JqVva49cFjprriIuFm8dSkVmyXU25G6bI5wnfsWDtSrdfWtkmKppNtvcYsX++VS4BmE3/IBESyMaB9Fq4Z2AmtM0jJNImmAKkrSwRUoj1k1myiWPpjzhwcfthAODhrNd0WysuJbt9s+e7XP3Dq4EN0bw8hVMNiyTbIN98ndhUCoRCSiULAQqIbgq6mjeM0a3xvkGybazh2bHGk58LVuiccXpkAsKlw8ZBu+Pauo9C3Y7ZBjp1W4pyUnYf2Q85SyTV1/ebctfnQGd2lW3Rk4FqPCo5k0vFPVbHSOSE1MxuX3fsowuGQ6pWkxXHzx+hEnYvPZvsEIs4phO0IiCE81VtBVTjBIiTWE5Ntc8cE71I/SNkukvSMKEkkmgYuXwo86WqYGk+oDWu21dL988Rf0K5dO/Tp00f43cwkxCKkN2BlEwmqcX5j25L5nLZt24oW7UTOTsi1m9cq7AJizcGZnA5PizZx6qRL7AhINvKs1GS4nVp52wRJtsWW0ChLtvGvfq1GLAbqGcsbS7btL9Go6xihSqJ1+/jzLkE0EsTqBX9rZFsNr/JR67aLyqckqTW1bHsNy3aK14UUnwsdDz4G0coCbJ74KtxuB7xeF84/ojO+uXMwerffc0uc7tFEm6Bnuxz89OhZuPf8gVRzYlcfmxJYEncaU+DM3ccgqzQ+h2tapCYrs7pqDVsXpFg9awrNqiH2PI2ni6RcPVq/iEFYPMlwdxpMJzzqRi7U+7YmcDPKkRmWbCvZNqzKbO3LaYu8/idg/U/jEQn4LYQ8Ug/ZFraF5Ge826NKuJnbOiXbvEs5Z80mic5GDmiPE/ZpRV1KJJoWZCBrmZ5MrUGEGEz86Sccd9wIum3OJG4l1sY2S4b286x/cNxhnNs4cym3uI1zXYgJMHqg3a4h27qLcKNctnmSzSvFTBZugWTbWMOF/QkuLi+ceV3gymmrxpJLNCm6tc7ApzcfgZtP2Ader1Mk2fR1K1j+0UO0PRNSbVi1Ra8QlqvCECg4q7apbRtkmRPOuHCZdp27o6RgG75++2WdLPOkWie43DV0byE7sm1OiGYRBhOEdoIgPFq+tz9tx4RGEUQga52ZjJbpO5a8SKJ+kNwuHlICLElT5tklgORqZo8bNw733HOP+FubSQj/nfGFiXCIGhs+rzJrv7onYWN+RJ4AkcRXPh/C4XCjzk38XjuiCthJK3ZWPtzpJGeNnBeaGiS/RmZqElK9noRJtoBGuos3CQvmLm6uOCE+VxPcIkHoJFtIkKZat9t26IwvX3sW/qoKPfu41+2gZJsoUc1u5MmEbHvd2uJCXs/9kNWpNyr/+BSvjhyAu0/svcdXnNgrejJJbHPTGQdj6rMX4oBueTrBpomaSJ1sfyUihUvgbtNPbayMZPNBFwRMwUt4AiXWHNW2yO6qgK15ipu+t7otCd2DufF60hCt3Irw+llW67Xps6VUWRxrtuWz5maY2a0/Vn76GCKhUFw3cnt3cWsG8rilv8xx21zN2YM7ZOH6QV3QWc8OLPFfgAx+KT5S3iIJf/35By48/zyxdjYfo21jxdZiALC1oAQ5GWlqTUqeVNen2TcLJbuNzGxDvHneq++wbsZ1MWefd8CN3JGWA1frHrJ0138MQpKvPLobJtxwOPZtlwWH07Bs1xWsRWqrznC63bbJIInuQ8zmz8dvG2vOWUlfmwk0IxVErdttv37YsHIZ1i5bbCHOsXhWbT7sxkSw+XvzECwviUhQJpnQQpCbSF40Iz3Jg3bZqVTIkviPS4D5kinhJmQunuv4k08+SWtmJ6ekWLwZBJJdj8upyfZQr6KFJ+mJIJ4SqFE5fRtlnXbseiu2LN3138tISV7kpCVT4o0GSLaoyEyUZFsbvt3Y2pBS0kymzfsaM0bv7PjNu4yz0CkhGbKWPyc1LR2X3H4/Vi2YS+dQt27ZZm7kasZxQraTdaKtWrXJPEBI9fWjLsM/X41Hv47Z2BuwVxBthl4dW2LSMyMxeuQQEO8zagGORhBcMxWOtHwuuzhnybYZR2mOSmquNvbEAyEx/Lgdz8GDGhW5Y1l5Mmd6WyiRACLlG03kWo3XZuXIBPId5WuFa27kmuWYEV7FtGR0PgBtDj8LsXBYSKgW342clREzrhkvSZoYs21YYMifmp3sxuUHd8TJfVpLK/YuVj49//zzaNkyTyDSZoLNl/hilmyiJZkw+TecefRAPX+B6va/CzX7jUC9QpZutG6sS3lDiOdGzh9ichV3Eyt2Z2nF3sXolp+O90YdiuuGdlNDK5wOeFMz0P7IM1Ri7TJc3Gg2ck04oO7jGunWreG69wRHss1xySYYVm0FisOBS+96mBJ8NkbG4pJzbrG4cxukm93DEAa1+3Lr+gRC8ZGtM5hZkNuZUYCdT1z0W2UkIzdNWrF3JUhGfm9KGtzeJIvr+MqVq7B+wwa9Zrbdr9cQwdgxKImRlnqQkpKCuro6NDn0XB//IaQV+/8CQrJziHVbzwdhT7INNIJki6a1RveP+sh0fJYh2PHsc2Y0CeFm1WIY+eaqD2ndpWvv/dC+Ww+sWvC3HnqlzqtOeJyqKzm1bGux2tR13OtGh5xkPHj8Prj68C57lfJ1ryLaBERQuvXcI/Dbq9dgQM+2UILVcGZ3hsOXqZNTIbu4HbjMtPqOeA3UnNW2HulbyIBL3btVEu1qdwiQnK27kPOE2+pObpBs3XptIdcsFpyzaitAWoc+KF/9LzZP/1T4npFoSzI0loyHs2SzjOXC92aXcpqMDRjYMRs3H9kVXXOlFfv/AVJ/0ONLgjctE05S8sqSBI1zI9f8W1n7mvLnfAw7aD/j2P/EntU0CEci8NaX3dySCXxnEc+N3HRPsxW7VTdpxf4/gUzylxzeBe9dfgjaOctRtWExUlu20csd0lKHWpkusrAyXYYruRifbf7lLdnB9f1czLZGpNNyWiDor8PkLz7SBCM+HAfWLOOCJYVzvzXHUXNSomiNqZ/ICNAFuTj9fWeHAQXI8HnQLkdasf+v1m2vD97kFFpLXvtZcO/o0XjUVDObQW/TTU6yjfauupfv2LVJ5vHNmzejaSHm4PnPrNg50or9/+wLaUletEhXY7ftSDavwGyYZGtH/Zfiks0Ynejtduax+KSihnWbJQfljtH2Z2fn4qvxL9CXp5a8ZAnSWDZy1X2cWrN9LhzVPRdjhvfEPvnp2Nuw1xFthn0652P6a9fjhVtPwz79j9TcxRPTLYn02rp/x8B1CsEErlCNplJbivCmPy3Z08GSudnFnlOrOBebbSbZLD6a25fV6zAEK4pRvOh3TlAzu5xDTXRGF4Nkm5OgWct8qYLivq3ScfuQbjhtvza0M0nsBjF6mbk07ovUmDaSoBkWbJI0kNbFVmKYt3wNDujeWXOrslOJJppMhqCJyC1v1jOh1h9ESpyarP8JErFkawc6kjPgatUdruw2tOyfxP8XXVqmYcIdZ+DFu0ehY4sUi8s4JdkuIhSolm2z+7ilLZtkqvr8oPjxtvM+ffHnlJ9RVlJktWRz2cdRn2Xb5ErOH2v7LA1aYbgPNn+X2bLdWBALRbvsFOTKWOzdAkT56ktKhsfrw6RJk3DwwQfTDN6WkIR4P3YT84mGLNn19S1CtDdt3pTYAN2o+ei/IdgOkqQup40aiy1zdPzfQchfy4wUZKcm0Tmg/hht7ju7DlBPm21Mf+HH/fhjtNVyXt8iXiLOgybAidQuZIRPCS7l1I0cSMvMxIDBw7Bh2UI9wajZlZyU9eqTn47rDuuMU/Ztvdfyhb3HNh8HV54zApedORzvfT8bj47/HlsKytRGxVoMv61/YL3JYf1OOB7Whip8ZxysFgljh/DX0aSm1DzEChYgFqqBw5kJxWkQbodTI0PcPrpN105NMHOIZbRInHmMuMBrFpOYmoKf3Lvj8dciFqxBqLoC3owsKDE1m4FqeVHd4cljOYgh03hoUTVDz1GE7R4t03Dqfq1lHPZuCmdSKp3gldpyxCq2AzRBoLWG9ns/TMXVpw7X3cV1t3GNEOg2CCb5JwIyCsedmRKBMVWQZ3BwoR3BcBg+Eku+O4DVWvalwpmZT9+3xO6H4ft1wDF92mPaqiJ8tXAraoJRmzhtlghNdB1vSGjSLXQkBIkOxOw8rQQk+cblwnk33YPy0mJk5+ZxRJrEcht3UWPh1PPovzQxn/pZDUfSphLz1GSZp7RzyPHatEYPMX2mz2Y+x/S36dNWgu+auAaSmthkLbH7weV248STTsZxx5+ghpXZWPUS+cFFYt60Jj3WVrV/LN+TLOmbNm3WOoKWjNPuEeLt30VweJLgIjXOZTbx3RJEGUjGqdpgBFX+EDUoqX1AbDQNNXErqW0ADfUt0xjNoI7f5lG6YfBeTo3tDoa7uFb6WEsC7dSehV6TUgoHTjz/MmxcuwrRSAhOl0flIyT/CYDW6ck4qH0WWqXv/dWH9lqLttmd/PLTjsDSbx7FYzediexMTvhlUoPxQSWtvMTCSDe30r9l5EP3n+D1Tzy51tZst4WQA27iQk7cxvl64Jz12rA+sn0ssRsjRMw6bbVU827kJCOQw+3Bio/HIlxbzRF0Mc6bt1rzbuTmhGftspJwwxFdccuQbpJk7+agAyJxY26zDxzZbWlboJZszVsiEAhg/dZC9O7czmS5rifop94bmvxtdwZxiD1pk87dwSpA/kZPEpy5neDKI+EqkmTvziBkenivfLx0xgE4v397ZCS5RbItlPoSmzDvsm0B312su/WxuVOvfVGweSMKt20RE+6wsVtIkGY+3yZWmztPuK/+HI2MsdVuZnYjT1QwI+6BrTKTadlBSbJ3b7jdbpq9OykpCR4tDKe+ZHvxSbaYXbwpYGsVNN2gQ4cOnOt4fRMNH5e+6xKdOdxeuDPz4cluJUn2HuFO7kGrrBRkJnvp2G9n2Warhtp6on2hXkt0nDHa+E78r/77iKFEOwqL+7jWrQjB5ktjrl48D79997nuGdYyxYsRPfJwUu9WzYJkE+wG0umuQ3KSF7dfchxW/vgU7rj0eJp5UIV5wNWsEey7esdt3lbNX8vqYshsEcY9tC3am2JwJGUhXLwcSrBOLwNmdiWnhFuPMzcyp1uz1IrEWUiOpihwepLR4djLse6HVwXBTcgkrq+ZsVMk27lpXlx9WGc8cGwv7Ns6Y8d+FIn/C4i7mjO7NZyd+wE57TVvDQU//f43ThjU31rGiyfcO37XnXQjt783aYuuXUm0RdONCpLorEU7uPK7wpmctuueRWKnQQjhCX1a4YkT+2DEPvlIpgnTVA8g3arNRvQEm69h1RaTYPJNhuzLbd0OX781Trdms/N0nZLN2B43Vtvw+bB9oETJtp1QaWehibcQJUXL9CS0zUrZ48uyNDcQodnr8SA1OYnmvRDajMmMYIf/0lhc37UJ0Sa1tM3SmAh7Y0mjkfBAQDJAueHKyIWbzLW+5J28scSuBBn3M5K9aJOVigydKzRgtVZ2oD8kQHr5MdqiSGX/JCCe2Vri+fs3ZKrXYNhOeJJteIDpZTAdDhx14pn4Y/IPSHUpOLxTDo7vlY+2mc2rLzTLWTArPQWP3ngmbrnoWLz77Uy8+eVv2LCtRG1wWgOh4DRZhjOfotXaNuIRNI5ieC1xJV/0Y1lMg54LzdjWrQZkny8L4aIlcHY4BA7q7825iit22zypZu7jhCdpVnnNBZy4azCLBxPeUtv2QueTOsFfVoTkHNV9kfQQnXSTPcR9nLicU5dy9Rp9WmXg2H3ycVCHbCpUSey5cBBBoFVXKLntESvehN8WvoHRF56itRMtCRrvNh4nTrpxN2VWhab6K3hRcFfA8LclVmtHei6NxTbXVZbYs0BIIYkTO6Z7S/yzuRx/b65AVTCiCw2NhW5JFuYRQ4lLrkis2iRGNhwKwevz6gSbrqkbnnGsnYVDvT7nWk7d1bkTbN3Em8aN3Axitc5M9iDV65Z9YQ8Hae8kHIdYt8PhCILhiCoPNOQF8X9CZlYWysvLd90NaSeJ74fu8PrgSkpX5wc5L+zRIMrW7FQfMpI9qA6EURUIIxK18/JJoEfY60ATAhuj7QZhYbzWXLjNqZkbesZEzShGdIZaC5ndkymjCdlWd5EqG0DrrBR8/+NP6NAifdcaRHYjNEuizZCbnY47Lj0Bt408DhNnLcIbn8/A5DlqfVNdWBGs21p9baY3NQkz5CQxAznfuLlraLF2BjQiQ+KxM9shtn2+EIdNY7TNsdkayTanRmQEW7eicCRbJUuq1Ec5FHkOdxLW//g02h9zITLaddN5lRrT7VAnVwW03t0xPfNwfO9WaJfVvLRRzQHEtc3Vuhte/vgbOCoLEd26ErGSrUZMtslXdoe4dmNMgo2Ax+1CJBLFLgMJvUjLgZMksvE0D9en5oQ0nxtDurXEkV1zsbqkFv9ursC6stqE2y5TmqoEm5FfjaZyQd5UGFIcuPj2B7B94zp06NpDE0403ycthIltI4FYbUbs2Vyk7ATZNv1R6v1ZRQ4NRAlBamFnJHng3UsT2TRnODXCTazbkWgMgXAYkQij3LsHVOPGrlRyMkOM1lnY2yAWvaRUlWC7d5OcIRJNBkISs1J81J28LhRFVSBE18wVO1HsTN/hybZVGWq+SSPND404WE+Cxgg2TYBmaHiJAa59WjLlCmm+Zk0zKeQboBorJ0448gC6rNtShPFf/or3v52F0soaqxpJ0+Yw8OO7JlJxCdCIsKNpPgVLtyrg8ESeiUnkCu78/RD1V8CR2oKzXitw6MSakR4uTlsTqlhdb2bVVpOcacnNdIItku/OJ12PtV89jT6XP0EnVuaeSMh2t7w0nLJfaxzdo6WMs2smJcFAyo3ktIHir0ZkywpEt6wEojY1Ss3u5LqWXz+gkXfn+g4lComd5Xa5EIk2RLSV+FlFDDWwTlK0jqu7o1Bi4k6CMyMXjtRsmUG8GYCMhT1bptGlvC6EeVsrsbigEsGI2jYTFe15I4StcORw4O0nxmD0Kx/A6/MJlgXDum21avPx4nZ9xXxfRwLr+q7BdpBnIXVQifWaxDIyC4bE3gsiSBOFJllIec9gKIJgJLLTzk2Nhkke49snkeOi0ahepmmHwUx2xo44c5lmdHF5aJkuZxKxXjdPi11z6wupPjddwtEYKv0hVPnDNISNoL4u0RTdxUxJ7Mb5nbm6rfe4RqrVr4z+wPgN4z1pPidaZyQhPy1JertycChCrSkJhkAwjC8mz8UXk+Zixt/L6cRiCy0RgVEfm7MI2LR63cXcLOCQDacDDqcbCFYiVroSvm7H0Ex9TjdZvHC5vVRTqn72aN95tW0SV+ikaxp/61KT+Dic3JoQBn0fuO+cUKIhIBKANyMbLVK9GNQtFyN652PfNpmyUTRzKNEIYgXrENm2GrHiLQCt987nCODq0mvk2y5TZzyofYcF/ZCGSRRETlVoISWxyLaT7SefXepnsnaRDKFhjHridXz86B368dTqrK2N87Vr6GsuKQ5XkkvfJmuXG47kLDiI9TpJxl43dxCr3oriGqwsrsGWygDdx5Kl6RnK9bAiI1aNiN+sBqm4rZ475YsPkJGZhSOOO1U7T0vGRpovSyyjHcvixvV7akoByzOYYsv1Fq7rjNUNLlJKcDoxC2ykLEuq1430ZA+S66tbL9EsQETHUCSKUDiCEKn5qe3bGTCvDyHTjekzX1rIaOvATTfeiDvvvBPt27bVXPkMTyzim2cwCN5Di5VWISGBpmc3J1YQLCxOOL3JlFzLDOIShGTXBMKoDkbgD0XiumE3Jduqb6xOhGxblLl8ck3F7nv+Oy1fk1Yjmyhd89J81LNJwgo5W8ZBks+Di04aRBdSp3fKH0vw428LMPH3RSgur1YP0v3yuGYdx9KhO/nxHUO3RHDsm/yTlIVYXanmv21MGHrEnpCkSnMr5+Kzeas2tWI35ELuUNCtdTZStv6NK085BAO6tpZxRRJiHHfbHnRRImEayx3Zvg7RgnVAsNbq4tEIkm3XU/S+pWug6keyzwt/MFT/VfWSYHHsdprlmm54kuFIzYIjJQvwpcq+IKGD1Jbft1UGXYg1Y2OFHxvK6rCpog5BU9xevObNnD745njkiWciEgoawg14l3HDqq13rQQkKVZajN5rB35Dchuvy0ld/8hCapzKeFMJIY7b46aLTrrpsiss3dZOQGtpb9qkEe0mgMmyTeZBByHX3iQaaiX7goQ5cRpZCPmsDUVoiTCykIo9/wXs3MhpO91ZyzZ3MVG0U/sD2ZXkdtIEcVk0J4ecFxqCJNoJIDXZh1OP7k8XUmfyz0VrKekmy4r12+M3aIF/2wg8ZpdV+lF1S3R3GowYyUTOEp1ZCLaWyF/7ntW+Nsi2kdSMJTTjXchJDEX/TtkY3CsPR/TMQxsad31oIq9DohmDeFS4WnelC81oX7YN0W1rEd2+Bkp1WXzvO+uV9OMsyiodBu1QibJ9TyOeHKRf6ufoJJ2/Tn3TjgMgycyISzhZZI1TiQTgcTnRrUUqXUj7LKgJYmN5HTaW+1EZiOMBZWqSTH3qS0nB9++9hhHnXowWLfPNrV+IizasC5rDHncdPj7c3OJ1LypewcukNM4NMdXjom6RaT4P/RslJBpHur3U84ORblIedFeAZB4nRHvQwIGmh2PJZ21iafWJysiho56iucZ6vHCSko2EXLukuCyRGOlO93noQsbpQDiKGo14ByNMTvnvUZ/UIyp0Td2CTzvAXYcQajUfh6p0lUgccuRoJIhQf9gB3eny2E1nYf3WYvy1aC3mL9+Iecs2Yv7Kjaiq8cc5W0hBru3iJSKu+UeCiJasgiu/j04e9OzijHhw8dpsP5tL9OziGslunZmMfdtnonf7LPRpl4n92mfRTiMhsTPClatFW7pgvyMRq61ArGw7YmUFiFUUIFpWAETiW5obsggw7wwrcY53vNYnGrKEu31Achp1BXf40gCylkKUxE6AtOXW6Ul0ObQDaGbaotoQSsniD9EYb1HGUomx3s4BtOvaA//+OhXDz7xAIL7x3BDZVfSkZuw4O5JtDlnSNjxOkujSTfNvkIUkvZSVJCSaKp47FV4a002IN8mjoa7/m2RqhGjPmjWrMQ8qdgiXC05itSYheS4PVSrTkCMJiZ3oC8leN11apoGGWARCUQQiUUrAg5EodcHeVWSbv1V9jocelwNJbmNOIBU55Lyw45BEeyfRuW1Lupx73KG6sL9mUxHmLd+Af5dtwPzlG7Bg+SZU1tZxGQVY67ZP70oJgzcFkaIlUPJ7i2WV+JrGHPnWL+tQ0CYrBft2zMZ+HbOxLyHW7TORnebb2T9VQqJeOFOz6IL2++h9QakpR6y8ANHyAsTKCxGrKATCQS4kuj6dqymerh4YORLE7OjwJMGRmqGW30rOAGRGWIldABKrRhZi7VabpULj90rrwiirC6G0LoRyrUwMK+PVd+AR+OOX7412rFmoKSHXrNbM1sZi5eihmr7WsH2rLudCmUktxjqFEGqvS117XDufOEpCIoFszWQh1m7WF2IxBZFY05Jv5jpuBVeCVX0C4gcOp0vN8UFJNSHYsi9I/McgoTjeZCcy4NH7AglBCkRIRv+mId+JuJEzkq1o84KPzAcasU7yOOW80MSQRLuJQQT+7h3z6XLOiEP0/dW1fmwvqcT24gq6FLBtui5HQWkV/P4QjeeIxBREYw5UVWQhJzMFXq8PPl8SvL4kZGakok3LLLRqkYFWLdKRn5OGVtlpyMtORn5WClpmJkl3P4ndAjQZUzopg5UDd4fe+n4lHIQSqIXir4ESJOtaKIEadR9ZgnVAzOR6SxKYud2Ay0MTlBHrAymt5SCWaV8KLjjvXLg69aUxdJRce5MAj09mgZXYbfoCI9+dc1L0/UTI8hMBiwpa2eiTdwGSUpMRpjGvCoLRKCUIapIzlueDJEqDmiyNbDsd8Dgd8Lqd8LmdVJgjLt9el4OuSVw5+V7GlErsNp5QLrIY5JuAxLaS6ipkzRbymXnwEXKunm+fVap169bwetXYaYfDiBslBFrdRxY1EabsCxK7A0g7JGURycInEtMVUWQd5bapcorwA7V/MBiFvIxkmARkbiDKVEKmyUIUXm7S97j9si/895BZxyUkJCQkJCQkJCQkJCQkmhDSb0xCQkJCQkJCQkJCQkJCogkhibaEhISEhISEhISEhISERBNCEm0JCQkJCQkJCQkJCQkJiSaEJNoSEhISEhISEhISEhISEk0ISbQlJCQkJCQkJCQkJCQkJJoQkmhLSEhISEhISEhISEhISDQhJNGWkJCQkJCQkJCQkJCQkGhCSKItISEhISEhISEhISEhIdGEkERbQkJCQkJCQkJCQkJCQqIJIYm2hISEhISEhISEhISEhEQTQhJtCQkJCQkJCQkJCQkJCYkmhCTaEhISEhISEhISEhISEhJNCEm0JSQkJCQkJCQkJCQkJCSaEJJoS0hISEhISEhISEhISEg0ISTRlpCQkJCQkJCQkJCQkJBoQkiiLSEhISEhISEhISEhISHRhJBEW0JCQkJCQkJCQkJCQkKiCSGJtoSEhISEhISEhISEhIREE0ISbQkJCQkJCQkJCQkJCQmJJoQk2hISEhISEhISEhISEhISTQhJtCUkJCQkJCQkJCQkJCQkmhCSaEtISEhISEhISEhISEhINCEk0ZaQkJCQkJCQkJCQkJCQaEJIoi0hISEhISEhISEhISEh0YSQRFtCQkJCQkJCQkJCQkJCogkhibaEhISEhISEhISEhISERBNCEm0JCQkJCQkJCQkJCQkJiSaEJNoSEhISEhISEhISEhISEk0ISbQlJCQkJCQkJCQkJCQkJJoQkmg3Au+99x4cDgf++ecfYf/vv/+Os88+G23btoXX60VmZiYOO+wwvPbaa6itrbVcJxwOo1WrVvRaX375Zdz7FRUV4ZJLLkFubi5SUlIwcOBATJs2zXLcjz/+iIsvvhj77bcfPB4PvW48kHs/9NBD6NSpE3w+H3r16oWXXnqpMa9BQmKv6AujR4/GiSeeSJ+VHEeuLyHR3PrCv//+i+uuu44el56ejvz8fAwdOhTTp0+XjUGiWfWFzZs347TTTkOXLl2QmppKn/PAAw/Eyy+/jEgkIluDRLPpC2ZMnTqVHkuWkpKShM6RUCGJ9k7igQcewJFHHomtW7fi4YcfxpQpUzBhwgQcc8wxePDBB6kwb9fQCwsL6fbbb79te91gMEivQTrKiy++iO+++44KQCNGjMBvv/0mHPvNN9/gzz//RO/evbH//vvX+7zXXnstHn/8cSpYTZo0iU4qN910Ex577LGdeg8SEntaX3j++edRWlqKk08+mU54EhLNsS98+umnmDt3Li677DJ6vbfeeosqYcl9Pvjgg51+FxLNG3tSXyBEJyMjA2PGjMH3339Pn/Pwww/HDTfcgKuvvnqn34VE88ae1Bd41NTU4Morr0SbNm126O9u9lAkEsa7776rAFD+/vtv+vnzzz+nny+//HIlFotZjq+qqlImTZpk2X/CCScoXq9XGTZsmOJ0OpXNmzdbjnnllVfotefMmaPvC4fDSu/evZWDDz5YODYajerb1113HT3PDkuWLFEcDofy2GOPCfuvvPJKJTk5WSktLU3oPUhI7Ol9wXxsamqqMnLkSPnDSjS7vlBYWGjZF4lElL59+ypdu3Zt8O+XkNhb+kI8nH322Yrb7VYCgYD8sSWaXV8gxx144IHK6NGj6fHFxcUJvAEJBmnR3gmMHTsW2dnZGDdunK37BXHDGz58uLBv27Zt+OWXX3DSSSfhjjvuQCwWoy4mZhCtU8+ePan7B4Pb7caFF15IrQ9EI8bgdCb2M3777bekR+HSSy8V9pPPfr+fPpeERHPoC409VkJib+0LeXl5ln0ulwv9+/enrrQSEs2lL8RDy5Yt6TVIv5CQaE59gbi6jx8/nno6yfa/Y5CS5g5i+/btWLJkCe0YJB4iUZBOEo1GqZseiYPr2LEj3nnnHUqAeZBr9+3b13I+27d06dJGPzO5JpkwSLyH3TXJ9xISzaEvSEj8F9hb+gKJRyUCVp8+fZrkehLND3tyXyD3In2gvLwcn332GX2m2267jZIXCYnm0heIAe7yyy/HzTffjH79+u3QNSQk0d5hbNq0ia47d+6c8Dmkc7z77rs0CcKxxx6rJ2Bav349ZsyYIRxLYkdzcnIs12D7yPeNRbxrkqQfJEZ1R64pIbEn9gUJif8Ce0tfIPGCa9asoTGFEhLNrS88+eSTNFEUudZ5551HiYbMYyPR3PoCyVVAiD5JoCyx45AW7V0IkpSACC8jR47UXTCI2zbpQERLZUZ92QATzRS4K64pIbEn9gUJid0Bu1tfIC6Cjz76KLXgnXLKKTt9PQmJPa0vEELz999/04Sxd955J55++mmaEE1Corn0BeJy/sILL+CNN95AcnJyo8+XMCCJ9g6iQ4cOdE20S4mCZQwkmb4rKiroQlL7k6yWX331Ff3M0KJFC1stVFlZGV3baa8aQrxrkkyboVBoh64pIbEn9gUJif8Ce3pfIBaUUaNG4aqrrqLkQkKiOfYFEl43YMAA6ur7xBNP0PhaUuJr/vz5O3xNieaLPbEvEHf1008/nfYDdv9AIEC/q6qqQnV1daOv2VwhifYOonXr1rQO3eTJk1FXV9fg8ZWVlbRzEBx00EE0KQJbSCwcacCffPKJfjy59uLFiy3XYfv23XffRj8zuWZxcTEKCgqa7JoSEntiX5CQ+C+wJ/cFQrKvuOIKakF5/fXXpaeIRLPtC2YcfPDBdL1q1aomu6ZE88Ge2BdIXPcXX3wh3JuEVBB07doVRxxxRKOv2VwhifZOgMQvkGQZN954oyU5Aas9RzoWAekUJLEAqZ1H4ivMCykyz7uDEC3WihUr8Ndff+n7SHKOjz76CIcccsgO1bMjboDEheT999+3JFwgriGk5p6ERHPoCxIS/xX2xL5A5gBCskmWWuI6LsMxJJprX7ADi4nt1q1bk11TonlhT+sLdvclSlhWwYjMExIJQi/0JdHoungEY8aMofsGDRqkvPPOO8pvv/2mTJw4UXnwwQeV1q1bKzfffDM9rn///kp2drbi9/ttr33rrbfS6yxYsIB+JvUa+/Tpo7Rv3175+OOPlSlTpiinnXYareX466+/Cudu2LBB+eKLL+gyYsQIeh32mX9WgiuuuELx+XzK008/Ta9z77330trajz76qGwBEs2qL5Bz2XdJSUnKkCFD9M9FRUWyNUg0i75A6ruS+qz9+vVTZs+erfzxxx/CImsHSzSXvnD//fcro0aNotcj1/j222+Vq6++WnG5XMpZZ50lG4JEs+kLdnjggQdkHe0dgCTaO9lxCEhnOfPMM2lH8Xg8SkZGhjJw4EBKZkkR+oULF9LzWCeyw4oVK+gxN9xwg76voKBAufjii5WcnBxKBA499FDageI9l90ycuRI4dhQKEQ7S4cOHRSv16v06NFDGTduXGNeg4TEXtEXBg8eHPfYGTNmyF9Zoln0BbId7ziyrF+/XrYEiWbRF77//ntl6NChSn5+PiUpaWlpysEHH0xlpHA4LFuBRLPpC3aQRHvH4CD/JGr9lpCQkJCQkJCQkJCQkJCQqB8yRltCQkJCQkJCQkJCQkJCogkhibaEhISEhISEhISEhISERBNCEm0JCQkJCQkJCQkJCQkJiSaEJNoSEhISEhISEhISEhISEk0ISbQlJCQkJCQkJCQkJCQkJJoQkmhLSEhISEhISEhISEhISDQh3E15MYnEEPPXIFpdiWhVOSKVFQhXlCJSUY5onR+bthaivLIK3XNaIBIIIxpWEI0AkZgD0ZgDseQUuPNaYmskiF4H9EVm29bIbJMPb0qyfP0SexyiMQXRWIyuY4qCWEwBqTjoAOBwAC4HMGXyJBw1+Ej4PC44YlE4lAhdgxxHDnK64HC6AZcHEYcLHl/S//vPkpBoNCLRGMIxBeFoDJGogrDWL2h/IB0CDjigtnknafZQ1y4n6SdOuJwOujjJTtqXYvB6vfKXkNjjQOaESEyh/SCqqHMEmRsISFcgTZwO/Q4HnSP8/jr8M3cujh58JByI0WPosU4nHE4X4HTTbQmJPQ3BSBT+cAwFxSWoDQSRnp2LYDRGK19TOYmM/6RPOJ1wOwE3mR/IXED6htMBr8sJj4tsk+/VfVRukthlkET7P4IS9CNaug3Rkq2IFG1FpLIM0cpyRKrKEQsEEQ2FEQtHEA1FEItEEAtHEQtFMH3JOrhiCnJbtEC4LoxQbRjBujACtREE6sKoCUZQFYnh1dqtOM2Zh6ACBKIKfBnpyGyTh6zWeWjZrSM69N8PHfvvhzb79YTH5/uv/kwJiQYRicXgD5HJIopghAhQPIHQSAMl1Rpx0IQnMiGQiWP8+PE4evARiIVDcETDcESDcERCcESCUCLqdizop33uqgefxUOXn438Fi0AlwvwpcKRkQtXdis4s/PhcMkhT+L/S6ZrQ1HUhiKoo/0hikhU7SMEjFBTIkEJhdE/WF/h+4lBtJlgpR5bVLAdTzz+OF5+8QWVnDOC7nLRPuBweaSwJfF/7wukD9SFogjQfkCUrercQFRKDr7da33DPD/QOcIBLFu2DL/++isGDxoIRyxM5wTQuUKdM8g2olFNMUs6iUedG5LT4UjJUMm4hMT/CaT9F9eEUFIXQlldSO8TgYg6LxCC/Nu3E5CZ0wIDjx5BiTQh1GS/2+WAx+mAhxBqKjOpcwFp5oxsu5lSis4P6mdyntupKmjdLhcl4oS9u4jcJNGkkFJnE0AJBRCrLEKsohCxsgJKsJWqUihRQqDZEqVrap7WJSqmWVK1S4R4FNT6cUB2JjFIQIlxC7FQkEWzAlLdrsMBRdPyBqqq6VK4Yi1WzvgDeHMC3e/0eLA0J4bzjz0Z+wzsj44D+kryLfGfgVjjCImoDUZRG44gEFYtE0Qw4kk1s8YRAqC3f9qmtQtpRIMeoSjqJECs2eQociDtINw23a+gqKwSeenJiNWU0X6pBIOIhYKIBYOIRhU40nPhatEa7pZt4c7vAE9eGzjcHtkiJJochDzXMVIdiqImGEUoGoM2eusgpIKuyYpYKWyMDUYvSQzBYBBJSapnh0ImkFgUSiyKmBKFg5B6JWYQbo8HDrcPDrdXkm+J/2xeqA6SeSFCFU1E6Uo8NlRlEZsXtDlBH/u1dq/YdArto6aXwsb169GpY0dtHmAnm+eKKBBWSbcSDkEJB+maEPCw24s3vpuOG68ZBWdGLhxpOXBIwiHxH4C0/aKaIIpqg5RcF9eGaJ9gfYB5avB9goAoSVNS0wzZyNRXzP2DMQtdpOL6DOkWhDqQOYp0DeL9RO5zx+2344brr0fXLp2pBwixkhMllLSA7xwk0d4BRCMRlG5YiexoDWLFG6HUVFBSTUi0Eo2qZFon0HxTN4H/SpsMiv0B5LXOo9uEYBAiTRZKskmHUIAqJYpUOOl2QwiHQ9hQWIz5H3xDF3KK2+NB50MOwH4nHYP9Tx6KVr267chrkJCg7bLSH6ZaWLIQDawhMGmaVeLJSiYQQjEUlVorZB/ExY5O0ElBI9L0G0aqDWnKEKTo9bn+RCYRfSGzShiRws0IbVmPWCQKJUKIB+Bp0wnJPfoiqdcB8Oa1kb+qxA6BtFMiMFX6Q6gMRKj3BiHVpI2xdmkm2Wwf7R08n+C6QmNJNkEgEICvAU8mJaKSDYefqG/Vh6Rk25cKZ1IqHB7pCSWx4/NChT+MktoQSutCtC/wXho0xCHBRs1Ge1GSYuopdd/GTZvQ/8ADBKWrOE9ohJ2fLzgC/u+/81C+dQMiy2erMlxMgTOrJZx5neBq1RnO9BzZFCR2rC/EFGyq9GNtSS3Wl9ehKhBRCTJHpsln1e9IbemKjXJp8MlnUQu0hUBTEm30BwMGC+dJtvWzceaqlSvRsWMHRCNhoS85nS443W443V5K+CUaB0m0EwQRSmJl2xAr3Yrfpk3Bv0tW4qYzh1NLQVzEVTcZnYMcw3PtYn8QOT4vlKBGDhjZJryBCm0KSmNhZDo8pmmEXoFn7nS7DCG0gBGnR76NhsNYM2su1sz6G9/c9Tjye3TBficNpaS766ABsiNJNOjyR1ycSmtVch1lsUJac9cFI9J8yT8aiaBben+w0gfd+GA2XrCTNLaiCky8pcJYVKugyR2E9h+1P1mWaBTB9asQWLMCyg8T4GqRh+R9DkBqn35I6tJLxvVJ1AviXVQTDFPhqYrk1KDN0KDT9RFsse0zVZOmkNKIxI6QbIJIOAy3O5HpXexLSjgAJVSHWFURQISqJEK60wBvirRqSDRotS6pDaKoRiXXpG/wFrodgk0H0MUqzuupYPt2tD5uhNGWhQtwqlyBgDPlrIJFazZi/64djLmDeH+UbkW0eDPCS36DIzULrlZd4GrdFc7ctnCQwFgJiTggbt+EWK8uqcW6sloEowoX7mM0aEFW4pu7mmZDaPsfPjMWx593Cdp27GxYszXCbte77Ag56z/CZ23ZvGkTOnTsqHkZak9H8+UQOSmMKFkCdaqlm8wNxBNKhiAlBEm064ES8iNWsoUOuLHKYiAWoQ2vU142Pt9WaHMG1/o5javR4oXeYZBsrpeEolH4HE6EqasfI9ksSRQh20BZLIwMuG2INi+aqRctRBCt4DPNV+yTui5ctR6Fz76JKc++ibScLOx7/FHoe8ow9D3pGBnfLUFBYkmLqoPUQkEsFczNW1cY/Ueora1FsuYCa7Rd0V2cuQtW19QhLYUcK5JvKlxpBIj/zvAY0azeSgzhwm0Ibd+Ciqk/wJGcAm+PvljhSMFRF14Ct8x1IKEpmgiprg6GqQVbiGBgrdTkwcrvN8M8BzQGLKbbuJCKUDgMj0cLiWjQ88nkHcJALN41QUSrS9WEgyymlSySaEgQQhGOYns1cYENorwupDfmemwMaktjwzjn2WSWTExNul5s374drVrlm65k38rtFLRL1m7GsLOG28wb2nZ1OSLV/yCy6m8oHh8l3e423eBq003m/ZCgqA5EsKyoGquLa7Cpwk9ldUPsN8LjmNWaqVUTRUVpETJbtNT7Bc8y+Pvwiii6csQn2Txmz56NwwcNiv8AzGswFkU0WIcoSRBFFAeUdPvoIl3M7SGJtg0IqY4WroVSto26n6paHWJPVtE2NxtbisrqIdm87KPGYesdQFvrrZ+L0TbaMiMARLnKWbS1cb9CiSDL4dWIAw+zJteBUoTQGSlCx2JWE3Vbc8nV/q0tq8BfH31Dl7TcHAy89EwMvuYi5HZuH6cJSezNIBbrrRV+SrATiFRocpSUlCA3N1dr2rxLIIMmEEFBYVk58rIyBBKudhGDbOsEm/YxYrnQLN2654h6Dl3X1OC1d95Dls+DTkvmIPOwo5A15Dh4WxKBTqK5oS4UQUVdiMaaqs3JvkcYBFs8wrBuW7Ezqiq74KRIOAK3m7j4WdWx9mjgGKL4raukC8my40jNhpPEsbplVvPmCGK53ljup7GmvGq/Me1Y92DSEhPo9IN+1DyhErwmUcimp6drHobx2rI9iSbLluJSdGiZQ0mEnRLXmE8UgCS63bgE0Q2LAV8yPJ37wt21H5xpWY346yX2FqwrrcU/WyqwqriGyugG0TW1XM5qTb/W/0kMvQcMRHJKqk6wWcJARiHUPfzaFGrBlGBxrv/333/T+GwLLDSD+ytIWCvJgRMK0AdxeZPh8iVL5ZMJkmhrUCJhxEo2IVq4HgjUGCYJGjwhtjSaIMDhQDgSgYeVjOBbL9/BeFWS3iOY1okj5vQhNPKrEWxGuNXYbCMZWo0SRRtWAl14NuEh6L9Er5ZMk/+bv7Fq1MwdsKakFFOeHo+pz76FPiMGY/C1F6HPcUPo3y+xd1vstlcFsLUyQLPC7mrwniAlJcUq0TYluaHu46ZkNxXVNchOTxXNiabkaUyRxbRWQngGS4KgHesPR/Drpu1469jDEK2qROnPX6Pk52+Qtl8/ZB99PNL69peu5Xs5iCcRsV6TuGuayIyXknZA88Rkdh1cVMROOYbwVgv63FG4GpNJ2WySr+9AQrqrihGtKoYjKR2O9Bx1LUvG7PWu4Zsr/dhUXoe6UKyR2iEtJogLHRJjUg13WTVeVXWnTfQetO3xnYtcR58f7PRNJs8ovUubXMwFpa34mSJYh/CKPxFe+Zdq5e7Wn7qXy76w93tyLNhehX82V9AwCQFau7VvukZYUKJgx7br0kPbYWQ6s1i24/iJ21myzYqxTZs2oSNNKBgPJo8n83xBKgYEahEL1NL8HpRwSys3RbMn2kRDHy3aAKV0i5rELCFhA9iva3ssXrcV/boRS69BoA2Y3cRNVmxd7WVoTUlWZLUEquHqqhMDnS8oqFWiSHa46rFViDOUmj7BDo4GztXcXWIxLP55Bpb8PAO5ndvhiFEXYNDl51CLt8Teg+pAGFsqAyisDiSUaC9RWKPi4sg+pgmBLKWaRZt3vLK7KukX5VUa0Y57dWbRVqc73XJtchdk/e+zZetwZs9Oap/UvErIZFKz8B9UL/gHnpZ5yD7qOGQPHgZ3embTvTCJ/ztCkSjtD2ShuhcmiAsE255t60E5Vh1twjDLS3b76+O1NIusnUJUJyNa/J1OHuyegc/ixvUn7nglUEUXuLyqhZtma272YsVeBZLsckN5HVW8Er8+vQ2yZBr1tENKK7gEmOo+UcrgPUAEy3aCPNvoEzZtVbsD78Fn85DGRlyFEzenGBk3uYePIbptDV1IPLe724HwdDkADl9KAn+BxJ4CYoCYu6kcSwqqEKZl6BoYiHcCBml20LxKP334JvYbcGh8ad7kKl6fl4mt5E+TnmmTFsuHY2nz8SB+H6MZ/YPU+8nlS4HTl9KsjRLNdkaMVZcitm01lNoy3T28MThy/30wfd5S9OvewT7pGe8WrruOGy7kdo28OhRCGklgw+JJFRtiQKzUSgxJJI6bnWtcxdSFzN8ITiu254jaNnaWkZqneP0WfHP3k/jhgedxyMWn48QHbkZ221aNencSuxdIbB1xfyKZkpsculFBC1LgzRRMLtL2OeK4jrekFm3YCPyGEoqsaYx2si8+xxbOMVkneMKhke2ZmwrwxvCBJou4IVyFCgtQOOFdFH31EbIGHY2808+HJ4d7Vok9DsFwhFqvSfZ8FpqjE2bWfBl4NsCtGckmzMIQ8BsJk1MUcwfUv2qA49iHFWmEg2/7iSAOyRYuHQkiVrENKN9OybYzK1+6le/hKK4NYkVRNcrrwrqFVlc2USRmm1MspNtq8jPIt2r5VvsQs3rXA/PteRJsmQj478yn1d8nDIMHb9Ez31P7WFOB8IIZCC+aCXfn/eDZ90g4U9Lr+yskdnOsL6vFtNUlNPaaNxYnqgzaUTCiXLh1E/LaGuGbDZvOGkiSoH1vpi6CQUPwDKwP1uP0KZHEc/urEa2romTbRfJ7NMOs5c1OxaDUVSGy5m9E18yFUlcOs7+FrcsPk2y47wYf0AszF67gzhdsDVpGcfU7ll2ct2bz9bNZI6VE2+OxtWjzXlBRrhyM2L7NemCzW7idfsvR4CdexGMdMRIMYfabEzCm+xB8fdfjqC2vrOetS+yOILGmC7ZVYP62yqYh2ab2aCe2CKFxPPnlwLdeZtEWrqZbHXhtq4JAKIRkL4kZtSMZ5nN4ks7zdXWj3B9AdpJP9zARjB40MS13biiMsum/YOUtV2L7x+8gWlO98+9SYpciHI2irCaA0poAQpGYQW4FZyRr8ko7aYbPAmtKwWGcb7c/AehTUQPHEWu2SLbjUnLT2uYr/XOcfsX1S5LLBDUliG1dhljZVrXspcQeBZLscvaGMrqU1TF1Pgd+CDU1Eksr4o2/Jk9u/mAjN4apVen3qkfiN/cji8t4QxY5Jk8lSizMf2CcJRZBZO18+H96FaEF06GQOFaJPc6C/cE/m/Hu35spyYapWak7Gt1oEgabf1rkt8ZJF19lQ4rtt+uzZltvolap0JNnCkhAKatVnTGeg1Pq6p+BGAmzqChCpLZKzY/TjNBsLNpKsA6x7auhVBTYmyH0EkKGpop91k0ZNMaIFgWmpVPa57fA+oJidG7VkgpXtFawtjYINztNs2Y7ydqpkm26MqSm6lAEaR71J7FYtDmrNnsskdSISc2Ev11bN53mzbhSxB/A5KfewKzxn6Lj+cfhqifvR3Iacd+V2F3hD0exvqyOuoijfi/YRoH2JtZOadvfcX2vI55Fux4EQmG0SPHVO080+CdqCq5/t5egX16OIe3FOZElW1MJdxDFP3xJSXfLk89E7nGnwOmVtYh3Z0RjMdQFQrRPsPhQVVjnLNScJZuO8fRA+2kknlVbzcehjt+2PaKJzSKEaBP38cZDcym3tQhyx+ib8TuGUlkIpboEjsx8ODLymrXr4J6AmmAEy4uqafgQgZA+xjRFOOob/3VZyfjGUNEbopQqzzDrtZWqsvvphNt0UyZlUZKQUCm7+GjI+1f1amH1Kxs5UUYjahz3+oXw7DMQnu79aVkkid07CezU1cVYsr3KaHo2jYR5OqljZgINqSGYok0Z/p7xC3ofeJCuZBUW7WCBWNuwcLPylz+kqqoKmRkZO/vo9lDED7FADWLBWriS02jpyOaQz2Cvn/lInEB0yzJEV86mEz8zCQhlUYTWy1ukTaW4TJ/PHzoI7078XbuE1WotLASEZHOLYe5Qv68NR5BKMsXqVjZm0RYNcPTvMq3NDt/iWh0EzNbGhrfthSy7vTUVFXj61XG4r8cQzHzjY0Qj0pKxu4FY6taU1OCfzeW0HAvvDriz4NucdYknmKj769OXFhcXIS+vZYNeUAQkOaHb4pak3cNsLmngj9lUWYtOmamclcNQcumHmUg4+z5aW4OCT9/DypuvQOm0n2mtbondCySxZF0whMpaYsGOcsO3g06KhqDDZXA1CTmNsWrrFnFbQanp/z6iCA5HeGtkI8lBQ4cLJh2777XvYhEo5VsR27IEsapiG5d2id2h5u+CbZWYuqZYJ9k81GFOy18R5xpmKzRvFBAPVK/BrsXmB7aPv5o+vtqA7zLhuNa4xinc6m+bNjWSGotwEOHFMxH45S2E1y1qdla9PUXZ9MPSArw4cy0WbasycqPahQiwdaJK/ARg9kFlmP/7dKRlaFntucmDzTP6nBQvipVtm0g3g9/vR3Jy8k48OZPlTErYehSx0bpqhMsLaQK1vX1e2GuJNq31tn01IstmQinZzP3gPME1t1Cx5JZArPUWbHwe1LcnFqzZiGo/mZzYsU5bgq5asrV9GslWrRzGo5AMz8lul9HomEVbN8tZSYwIkTiRNam3XQWV9MbTSMfftrOO87pp4zFXoY6WEavbXoxPrr4PY/sMx6IfpyX+g0n8p6SCZIr9Z0s5CqqCdN9/IeTzbZJXErHv6jteAPdM5eXlyMnRku6Jbibihagey+wuqz9Mo/8Kn8tJs0yrBJsr8SLcn4V48Lcw7hUuK8W2t1/G6ruuQfX8uY14Bon/CuS3DIbCqKkLIByOGCUXeTLNPtsRZK4mqsWt3JLzUiypYlSasPftM0Vhx4mfS+BvBODz+RAMBnfgbJuLJfRFA5bvaBhK6SbEti6FUlexY88i0aSIxhQsL6zG5FXF1MMpbmSAYFk25BDzcYJcwpST2rZZ8aobDqzpMcTPlpZlyG2OuGESJlhy6Aidjv7TMisDJVU1JpOgWaVmTnhrcz3b78TzlEAtwgunITD9Q7XKjcRuUWll2uoiPPvbavy5qQwRTe6OZ4Ti9zWkc2wsBEu1hpS0dKRmZJqmDm6e0CmKYd22XDcOyea/27mntucM9YIkEaytpC7ltETYXoq9kmjHaisQWT6LuopTjbp59Nagx0kLLdWGbHPH8OSbuMJdctxgfDRljvYdIdlq6S/xeoRck/3qd0wo09ukNhsFIhEkaRY5NnGYwyMs1hDbN2AQgRx4UIawQLDFqVKgR5YrmD8ZyX1YUhMgghhWoxa9kKYfV7hqHV496XK8e9EtMn77/6yhXbytClsq/YabE8F/YEWzAz8J8RNXYvOSImTCFLIg6wzXOJr0KVKOSYRRTi/uDGQDn9uFQD2WaPuwJeMFG8OEA+HCbdj8wsPY+sZz1Not8f9BXV0d/IEg9XywWKj1kotMF6qKDM541mi7QhI297Q/nk9tZny2Wsy5hDW8FYO7djz4kpIQCprKzmhO7AlJVQmPE1pHSFTQDAcRK1yLWNF6Gb/9f06AOWNtCVYU11DCHQ92TkC8JU8nzvV4C1mOF5oMs2wbFu4mDZOwI868HKd97tY2H6u3FInzhcVgYndtzgBjd3Peo1GTGXVjjL8KoX8mIrRw+l5NMnZ3bKnw4+XZ62mys2CEC9XklEWGIiiRDNxNB9JyYtEILr79AW5IFmtoM9KtE2/u3ETlHRry+v+0KseiiNSUIVJTsVd6ejj3Oiv25mWILp8F+KuF7KqWRsQT5wbIdn1W7RMP64ef/ligThC6tVqLwdat2Rr5NqQ2Uw9QZ51gJAofF8dm1vJyRxsxIbYwvmkJHwoQsBzLnMnVNbNRGzTceqw1ElyNPlQwE6U4EBlw2TzRXx99g7F9hmHRD1PjPq3Ef2PFJhPIssIq+IlrrNnStotfutlKEQ9mYqKfbL6YDbweD0LmkAVdzkmcZBO0SU3Bxspa+y+Zp4llzjVItvjHqEvVn79i9X3XYfqH7yT+IBI7DTL2b9+2DaeddhqCAXUs1C3NJmGFDNHOhsh2HAu2fj1T+7U7Xjva1HJMhN8kNAlWDJtzeaSkpKC2rs6qjhWIRxzQEkv1q3LFF8wofOKCGqn2QRKmSev2rgUh1WROmLm+lCbDrA+8dVqJ40YuhrPZeRPBYjgwrIB2lm3epTzxMIlIA+E5qoKJk+k40k2W/bp2wPy1m0zhfibvx7h9wXxcHJLNG110wu1EdPsa3HTh6ShYsSDBv1iiqazYv6woxGtz1qOwOmjrYWHnCW3j0/GfgbSZNYvn4+eP39L5hEBR1KOMOYfNa40UeZKSkuEP7LyyZ4ffikP9a6KhAEJVJYiGeG+sPR97DdGOEW3Ikl8R277GRjDnNmwId0Nkuz6rts/nRf+eXTBn2RrNms1cx401T7b12GwzzyYxC4oCl1ltKrisqkgCKe3FU+T4IBbtcoRp/UvDFi12UP1V8BY5W6cZ43i2509UoC2S0Q7JcTtb5fYivHryFdK6vYtQF4pgZWE1TXbGyAPvSSGKDdy/CcrVjQNvt2hIGVzfzc1ZzawXSk9JQg0N4zBfz5iVDCdhnhHzm+r3/Vu3wLzCUp6pNw6Wkn6qou2V3+di3ruvYfu74xCtk9bt/xqxaBQhfx2yszJxxRWX48477+B/It0OwHsg0J9K3xcnRps/1045pN9DrNlgR7Z1+ZsXnjgLmlktJhJ4e6Snp6OmRmtfloPslL02ZCGRZq+RbHs0cIFoWLNub5DW7V2Acn8Iv60rweqSWm6mbxhKPW7kZrJt50bOE2vtNNF93GzVtpF54rnt2lq0LToio73b5d4hyxH798KsxasFS7fFqs1f3CwzWtxO+MVpXZwunXC/9sNvaJWZhuzCpQiv/BNKxOyJItHU2Fzhx7hZ6/Hr2lIqd9u2V0F6MamRtA+NF5niHG0SM/ixfc2if9Fjv37C/YymafKOtblXIs+XlZWFinKtClNjwSUy3NHzBWWYoiBSW4FwbeVeY9127g1W7MiGxYgs/pWW7jJ3kfgwuwXVT7aN/cxaTQZLdfvKk4/Gmz/8yp3HLNhObuFiswWtqpiQw20W6vnOpCHV4YLfEW2gB6lTKfmvBbwoRYjrdsY7Et+SSfDSrmNn/yR7FqMKJAVJL7As4+rV4j3W3I++wSN9hmGxtG7/Z1bsgqoAVhfXIBiNUYucKrwzss0L9ppmVCMDwu/W5GS7fsSbJ4jw1JiMlGkpyTT21rioOHuJ8bHWvs1PWl63i7qP14TDnBJCZz46EbJMjuw7Kk9xiQ+dDiwqqcCmqlqc1L0Dav75HZsevR21S/7d4fcmER9EqI8E/Qj5a6AoUTp5n3jCCWjZsiU+eP89k7CiToQ60eWsygbhtn7H9x2jacW3arM2qF+bJ9eaIsxZH7lvRNdMS0sziHY88No1RwLHNUbhZCYm9SyqdXu5tG7/x1bs39c1bMWuD5aqWTZkW6iMwiVFsyXbpAKW5hlE1nziKcGyKHhC1a+w5Su+iG3bqAZjJtCkv6WlplD5q9ofsrdqC5ZoGzJNb2G/jxpZKLFWF1pHWNs3fcFKzF2xDredfxL9TindgvCiaYjR6jgS/50Vex2KahqwmpraoplTCArPBK3HFpJsaa2cglW7ZqeefdC974GiktZO0YtdWaXCpHyyu3kcpRZslFM6yeYuFAsHEaouRzS851u392iiHaspR3j+JDpJk6B63UU8EdWKIGQ0QLbNsdoaeVbJihPt83PhcbuwfOM2ixaTHaPGZ7PPVuMBfRoHrUKqb5sFeYYMhwvVihpnqP8pluhXw87QHalYBl7o4ru1AXsdsvnqCq3j/QfKUIMo+iGLu5d4LNtmC/m2uqAIb516JSaMvBXVZTuoQZOwIBCOYl1JDUpqgwbB1txfrWTbjm8mrv38r2Bu64QopKYmXiouJyMNpSShTX1Tj42l2ah5L34/vHNbfL92izEGmJ/VdnJhziwiyd5S48fzfy/D6MMPgNOljgPR6goUvPUsij5+FbGgjNFrKpCYtnBNJaJBP58ylv5c9917L6ZNm4bp06cJZJkJPbxV2RCg+GRmvLJK/8lN/UlUjPLJ1dTjxbbH+qhAsrlrx+WoDQhO0XrdaTUBR5cQ+flOheA+LpDtBMW6hAUt3rq9nirPJZoGlYEwdRNnVuwdhUGUTcsOkm2eXDOyrbqNc27p3L0bei5CEozjhM5nS7o5mqS3wytOOhpPffaz4ZUokHIjtlog2+Z+YybZ7FwqM4oke8bCVXjlu2l4/Y4r4HC5NTLuhCMaRnTdPEQ3LpKeHk2IbVUB3YodI6Xa7NqLqW0JTrA2DZGfExpUROpNhfeiMhk+TASa3LS6shwpKani/KJ9y89TO4vGl4NMgGwnAMWGZBtfxmjd7TCpvb0HZybfY4l2tGgjwvMnQ6mtsklfyWUJrjcbJSfJCFYtXVq2ai6Fxcgwft/I0/HIh99btZ/cWiT0VnhJpmNzY+cJgSYItnR6UQaW0Md8LeOzGkGtUIs2+aHXwhxzKlr+yZl2kxXvZlaDCCahCHnwYSCy4LSh6uYhjBdCiWu82wFM+eRznN67P8rXbYz/+0gkhKpAGBvKammWbH4w5t1fGdkWiYIjPtneGRVpvMgNG4jKInHCICUnUlNS4pxofbjWuTnYXlouaBCYK6C+Zufq/Z6trG6Fx3Zpg6kbt9MMpMJ8Yr627hFoVBcwW7IfmLUATx49AFnJPsGzhVyidt4cbHv5IYRLSTIeiZ0BifEKV5dBiUXUPBamucHldODN8W/g5ZdewoIF802k2iQAcd+Z47Vp39I/m/uRvSKLF4pYLLig/LK5DlPw6P3W3DUb6qeW7+JohxDnosI+m8tQt8EmkPI0UOv2thW0LKfEzmFbpR+z15fFtWIr9QjcMSWGj8c9gUevuwgzvv8cpUXbsXb5YrqfOdIKbuMJkW0T4eaOs7NoWzzuTDYU3l2dVKYoo4p7o/Po1m2LzGZ4GvKx0iMO2R+bisqwlBpMmMzGJbflZD57F3Su4gwh1YQ4O1y2JHvKvOV49fvp+GjMdbSskk6ymdWbWLerihBdPx9KyC+7wk5i0bZKvD5nfQNWbGuPiF/QjkecRJkCMTYpbM1luSx0RG1H29atwdolC7jjzaFOxgwhXG8HeG/LvDwUFBRa/jaBBNvxDRPZVrN1JL5AEDjtFbnEuh2uLt9jS6XucUSbTAIT338VkaUzgWiES3RmSnwWL6OBHQSyLVqi+UFUdQESy3exTOOd2+SjTW425ixbKwzefKy2rSafAyspRJ5/wpatuHL5YqwO1HJzhUqe8pxelCshXfhryHWc4DDkYAPqsA51dn88d4b1bZF9ZHpdgRrMRBkGIQddkSoIWAZFs3fdp0IpSVxC+5CCGdFSHFoFfHbUWdg688/6fx8J+19YUVBSE0BBpToRm2OwGbHkSawue5iFdzuyLTaPhMH3uoR0kDYyPFlqa2uRlJyMcS+/gkOOOAr/zl9Y72XysjNRVE7CR8R+phJe0ndVhmNYE40JTVS0qZfwuFwY0bkdfl63VVSSCSRbtXBQK7XLoa3ZWOHAtE0FGL9wFV4aPhBtMtJMyjyDZUUKt6LglYcQWLu88S9cQnUVr6umsV2GpK4uqp8QmQ9idH9yUhLefecdjL73XmzYsN6iDDS2xXhtkWwz5VUcsh2n3JfZYq6393rcCB3c3/j26y/j+KMOx8L584TO03A3tbO6mcU88fCGYQwmFuEpIcSZo8MBxLYth0ISmko0GqSdrCiqxr9bK6mSkDc2GC7f1vOIB8TMn7/BQ1eeg3AwiCEnnYm7XnwXBx81ApFQGL//+DUeHnU+KktLEQoEEiLbhmu4uvA1s3mruLAIZNvSOnTr9+uvvIzBgwZi3rx/0aVLF6xbv14U2rV2rmfa54wgqjzH3LkNY8jjo87FvW99pWZiF8g2bzAxSLoxl7AxXyXJlFRrC9nmSfaEX//Bu7/MwkdjrkVKaor+DMy1nP/sCPsR27QYSl2l7Ak7ANJOJq8swoQFWxGO8iOTnWTiiOvRmSgEpamuwOebnyiT8Xe2qzyxfN6f2O/gQdq1mezBj9yqzP3xm6/i7GOPxJKF8+M+srlknrm/DRgwAP/8+484Cwms3Tx/1GPZbswCi1Aq3o89fyyKUE05YuE9L4fBHkW0lUiY1h98+933MHvRSmOitvNp4q3a9UKQdoys4bpruJ02U7Nn6MK2GoN95wUn46lPfzIGdrM1m10zDtK9HpQGgnh48XK8tG4dqqMR3LppFWbWlusCHRH2WjpIgjPNom33nvQ/yIhqIpbnIcjFFvjxB8ppzLbZUUQUudRz/YhiGarwE4oQRQzHIQ+ZNDI7Xn82MtbyQxVZiDWbvLkpsVIM9mQjy+lCtKISk868Aivf/riB30mCBxFgSLKzSn9YIANCbUX2/oUBXrRqq+NbA2R7B8ALU/FgtDc7Id+B2poa/Pbbb7jrnntRXlGJo086HZ99rXmN8DOOdpLL7aJxduL3TEkmEmUruRYZEHMFO61nB/ywdgvmbCvmLqtNeHpeG4dIsl0OrK6sxq2//ot/C8vw4rCByEj2Wu5vJvoxfy2K3nsW1X9Nl429MW2NuJdVlyEWqOHGfN6cxs8JKtnOyc7CG2+8gWuvuQbr16/j2j+XnIyOuTtItvlrWQi44aHE9zdTpxAIeSgUxN03XYtHx9yLqooKnHnisfjuqy/izgFinDYvMJnuxSx/gtzE9R878No6E6lhf2hCZNv8W/GIRRHbvgqxSunl0RhEYjH8s6UCq4iruNbuLVZhk2W4tqoS/86chs1rVqK0YDvufe0jeHxJaN2pK5wuF5LT0tGybXtcfPv9uPul95CenYM3Hr4bbz0+BsUFWxog26qS3pJhnGsC9BvdVhK/0BfbQ+rD33L9Nbj/3rtRUVGBEcOH0fWiRYvFtqjl06GDND9g6zIbI8wauXU40bZlDs45+lCMfu8b9X6c9VtPdssbUgTDi/aZkmqyuKlLOFmTzyS866ZXPsWSDVvx4f3XUiWybukmZFy3Zmskmz0XYrRUrewLjUMwEsPH87fQBIBxbFs2MBNspWlIttmazclqiHccgGFnXIADDz/KQsDZfcKhIMbefj2eG3sfqisrMPK04/DTN1/GHX05/bNl6B0yZAgmT9GqA2k3sQ0fsv/rRbLd2MVhd579H0CSpNGwsD0IewzRjtVWIjjnayiF6/HazSPxyPvfYHNBMRebLR5vWLkTubr5R+eFcPOgajOwat/ntcjCYfv1wHdzFlis2lTjabq+kUhH3Sau45+u3YTJ24twf6+e+GDfA3BERjaeLdmMz6qLaCMjAp3b6YBbq1/tsK1wzf9dBvUlT3AEWqADkrEGtZiEYkxEEX5DKeaigiY3W4RKzEcF/kAFfkIh5qAMHjhxPPLQBxlcg2nYqYa9UfrM2nPPQxXaOn3Yx5MKj9NBF3csigX3PoYFdz6EWDicyA+G5p7Qo7CyDoFQxBD+BTLAc0lTYiXueEuStHhkuz5pPgHEJ9vx0uwBhYUFuObqUVi5ciXeeXM8Fs6djdNPOh4XX3MTxjzxHBdPJPZXl8uFCLVGaARbI9l6xn/eoq1tswBZc4Zwsk7yuPHK8EOpVXv84jXaLQ3XcGa5JutALIrftxbhrpnz8OGydbjt4D6457C+8HmIwMTf37Cu80Sf3leJoeLHT1D+/YcyPi+RthUNI1JepLpXKmQ8VIm0ujBLNnEhj1nIdof27fD2W2/h+uuuxerVq0SyzfWFhsi2qLuJT7bNbudWws2vNWUOgOKiQlx02on44Zsv8dyr4zFtzj844aRTcd2Vl+Hxhx+ME1vnQLt27bBly1b1PXFCXfzSXdw+bSXUtuAFLQvZNl2nSVzKFSilmxAr3kCVKRL1oy4UxewNZbRUkaA30d+mFcSC/czto+D2etCx5z449dJr4PF448Zkuz0+esXrHn4Bg086E9s3bsDSf/9EccFW1XKtK1jFesSqW7jCfc/HZqvnscoogqVbDwFUn7eooBDnnHI8vv3qC7zyxlv44+95OOXUU/Hyyy/j9fHjEaM1wZnyyE4JZJLLmPVYzwTuwvnDD0f7vFyMfOodVNT6RbJNjSUi+dYt0C6nQLB5q/bfqzfijIdexQmH9cOjo85V3yM5jnMVV8k2T7J5+RJQyrYgWrp5j45V3VUoqwvhjT82YHkhn7PFpPC0HQXNn2yUoPXCkJssc4DZms0Ppdzwyo6rrSrH+IfvpOXr2PWMOceBsuJCXH/eKZj8/dd45MXX8e2vczH8hJNx+zWX47nHxsaNudZDNoTPQLfu3bF+/XqEaYnUOCTYPAcIGgyuz+0QyU4cEX8NwnXVe0xfcCh7wJNGizYh+PeP1FXcQbSDLhfWF5bhxpc/xudjb0Yqdb9h1mOXqLUU3H9gHXjj/tD67KALa6qGOEb81+mapp5n+6JR6tpQV1eH0+55Ft8/chM8RKKKRlSBORJGLBSiSzQYQtQfRIRbFmzcjqt/nIWKQAhvDOyPHt5khGvDCNaE8EnBNrxfth0HeNMwMqkVojEHpgTKkK64aWmtQFSdwOyiqvn4auFvoyBiqQI/YtRyHQCpt+wA0aGSqO4sSrHNVzUczNV85GxtvQPZ56IkW43LJtb01ajDWd48JLudSHI6kORywudywOt2wud2InfQAPR75Vl4c7KbrP3sTQiGoyiv9SNCmiGLbdMEEt1NTxNmVFc9TsjRXPdYs9bj4liyGkvZFS5LLHsAfrQwkXJut0BSmCcGiY91aWuyj26TNdnv1NqJ04Glixbg4vPPQSgYxLBhw/DO+NfhiIaAcBDPjnsJox95CicOHYL3nx2L9CQ3EAkCoSCUoB93PPcmLhsxCD1atYASCiKmLUowiGgojGgwTNexcASxSJSuFRKuQZLpkHU0hhj7TPp3TKFrsu/jpeswY9N2dMtKR25yEtK9bpQFQiiqC6CwLkD/xkPa5OLojq3RPtNwE2fEXCfVJsLNyLpAwknpwE7dkXPW1XClpu+6BrYHIRbyI1JJlK2KaTx3cjGaJsUo3c9buBzYtr0Al19xOZ559jn06rWP3v5VS5xBBHSCwPU32gd5V1i+v+nHGVY7wVFa+8wLWoJVBMCyxQtw7cjzaZmy19//GP0GHKQJiQreePkFPPbQAxg+4ni8/uZbyMjI0JOqkb71xuuvoWuXLjh22DHUQkyVDSTRGFFIaGu2qLHsmmDGh2IRJQVVXrCnNnmKxfUeUxou/8WnlLbsF3YAvjQ4W3WDw6V6U0lYicW8rRXUise3LcHKzO0v2LIRqxfNR+/+hyArN48mz7P8eg3YKZjYtHHVMnzx2vPo1HMfnHPNbep3nAWONXAhZwivwDLNEdSQoM0VdE04rMOBFUsW4JqLz6cu7m9/+AkOOvhg9XsoeOnF53H/mDE48fjj8e74V5GekgxHLKzKjGwdDcNBcjeQJRKGQlxQyToSot6SdJv0C01m+2f5Oox5+wvcd8GJGNSnm6jAM6dE1/9Opk1TZc6tpZUY+8F3SE7yYfTI05DXIluwWhux22StyraGFZwj8Q6XOm6R7aR0uFq0V4+TsGBdaS0mzN+K2rApntfs3WEabhST9KrTBZ4EC15K9pZrwduJS2pMTW28YURbU09P2va1PkA+Ox2Y/cOXcLucOPqUs7R+YPSNdUsX4b5rLqbzwjNvfoj9+x+kXUfBe6+Ow7OPPoijjz0Oz7/2JjLT04U+xuYI9V7Gs5LlheeeQ58+fXDssKFU9WXMAfwYH8dbONFQXQt2VCGr0PnAk5qp9qfdGLs90Q6vnY/QP5NUIk21gx44iIbH5caspWvxzOe/4OMHb0Raaip129wxom3jV2ISNlgjUsm1QbZp56UCeZQuZKD+atofWLZ+E0ZfcCIUoh2KksE8jFiQEO0gXUcChGCHKMn+dt4K3DFxDhXgk51OvH5of4RqQwjVhBGuDSHgj2B2RTmeL9uMHIcblya1QSAaw+RwGYY6cuGPigNIfHIt7rWLQmnsufz5dvTeQ0olOR0oc4QwK1aOi3ytkeZyaSRbJdqEZHvcTng9Tri8LqR2bIsD33gJKZ06Ntg+mhMCoTCq/CGDYCtNS7apMaAhst1Iom0M4rzgZCXabk2Y+unbr6hbICE8jz32GCZO/BlPPvowJdoOUl80GsLESZNx0bW3okObVvj6tafQtU1LSqqJVfPTH6bSchDnDR4AhcR6Bsl+dRGJdhSxSISuVaIdNUi2TrRZ31b0z7WhMCXVJXUB1ITCyEn2IS8lCbkpybQdG67gzCrJLORk01kPyTYs70yrTfa5s1ugxXk3wt0if9c2tt0csboqRKuK9THcsGCJuTAUC9F2qgKriZQXFBbhyquuwi233orBg4cYZNvkCsv3L74fmrMr25Ft3QvIRLh1e4CJZE/87ivcc/N16N6zF15//1O0btNG70vMQj598iRcc+Wl1Hr98YQv0KVLZ12YmjTxZ2zdugVXXX6ZSK5NpFsn2my+ow+mJC5o1RuqpcQn23ZEm7+Heb/bA2frnnB4k3eu8exl2Frpx7KCaloPWFf6kC/Mmb65fV+9OQ49DhiAPgMG2l6TtybHExCZZZDNA+UlRSgvLsKkCe/hlEuuRrsu3UWXV+YlxQR+G7KtEgmnQbY1Beyk77/GvbeofeGtDyegbds22nyinkOuddYZp2H27Nno2KE9vvzkA3Tt0FYn2IRcO4jBg6wZ0SbzCSXZ2mdyHCXZKtkm/aKyuhYPvvs1isorcc95x6N3xzZWkq13YnWcIWPCzMWr8eHUPxAMR3DXBSdj/24dVdmUs1rz7uG67Eot4SrhponUOPlV0WVbJxS3F+7cDnC4vf9Fk9pj8e/mCny3dDuicVmNdVzhx3fjGNFTSYXV68+WaGuEWfccNBFww7tJk42YAUL7rMpHDsz79Rf0PWgQMrOy9P5AlpkTv8NTd9+Ezj164uk3P0Tr1m05I4YqR/02dRJuvfpytG3XDm9/NAGdOndpkGiT5yos2I4bb7wRX34+wRJ2ZT8HmF/mrqKTinF/pxOetCw4d2PF026tBggsmQP/zG9Vi1SYaCA1rWNE1Tge3qcr7jzveFw89mX4A35NKNYIsCDNcIMiT7AFkm0u92NKaOa0J+92LkmnDzkEq7YUYvGGbaZ4HpHkk8nvmRn/4IYffsfwru3w4YlHItPnhZ8IQlwNXtIRD0rJwCPZnRGBgufrNqESEYShIIiY2ll4gc3mXVrd+ASnwDiwUnF+j/l8RrJZxmtixSau4RWOMH6LluNcbz4l2T4ncZNXXeU9LgfcZHE74dSWUHEhFl5zHWrXrUu8sezlCIbC8AfD9Le2GzD5bcPN1RpDqpf6Mnn+WLS2pglF+8rq8cMhfpuwgnefItvEzemZxx7G1ZdfguNPPAk//jIZHTt1gr+OS96n9dPjhx6F2d9/gkAwhIFnXIoZf83X++CgA3tj1uJVXMIbMfu/vugJy9SY6njfEUuPGnetCkNpSV50zcnAIe3ycEyXtjiwdS7aZqZR93DjGvz1rO7iBsk2fgBm6RGs4MQhprIcpR89j3DRtiZsTXs2orXliFYWmiyyhEgan5kylO7n97FjdauUuq9Vfh4++/QTvPfOO0adbYeabZ5f+P5l9DmxHwr9zexCaEqOI4Z7qL89mcdefPIR3DLqMgw77kR8+t0vlGQL/Ur7MPTYEZg4dQYCgSCGDjkSv8/8TT+mS9euWLd2nTjX6WvRAqda/03mde48pSEXwv/SjZwJd5GgWm87aE7o2XyxpcKPFUU1unKOjftma5x5XI7Foshv14Ej4tZ0BpRkm/abF+b1QRRJWS3y0LnXvjhp5Ch8/8F4VFWUYuv6tZxiynApZ8phsbQXE+GN/4jic9xTj+DWq9W+MOG7X5DfurWY2EnbJkqyiy68EIFgEIcffSxmzPrDKscJMp3ZbVtz+9YIL9nOzEjHczdchEevPBsvfTsdlzz1Dj6Y8gdWbSumCjsSrFLhD2LFliJ8MO1PXPPiRzh5zEv4c8V6PHT5WfjkgRuwf4/O6vVYCS+NTBsWbPW++veaBZuPKee9cOh2LIZI6RaZnZ/DHxvK8M3ibWoiu7iN1mwsMMY7o5+I+TOM/0TjghgyZDIwmMd98zGcxZsFlbI+TLZrykuRlp6JtMxM/VzSR9578Uk8fPNVOHL48Xjtsx+R16qNKL9pOGrYsfjql+kIBgI4adgQzPl9pu34wUwo7JW0atUKvXr2xIwZv1qMkpRq2xko2QNY9u3gkjC0HzMWpRnJY0RRtptit7Vo1/49Hf4/f4bLSyzYLjiJFdvtgsPt4RZ1sJqxaBXG//gb3hutJpgQBk6d4IqlHMxWbd3abdcMLZ2VuY2b3Mip25Fq1d6wtQAPv/sl3rrtEmrNpooC5soaDKKiohrXvvcjJi5dhzuO7Icr9++OqD+MV+cuRd+MDOyXkkZdx6lluy6CYEBdioNhjKveitXROvR3ZiANbvRFBs0uytwY64OSgAXb3qrd8HcMlGQT7ZsDqHaEMTVaivN8rdDC5aaZ1Yk1m7iJU5dxlxNurxNujwtuzaJNFqfHSd3H+zz7HFK7d0dzxoIFC9C1ew/67ommlv7OMfZ7myzbfDxcA5Ztvo6p4EKO+i3bPFi/EZQ8Jsscm1B4iza1ZGsa2EBtLe64YRQm//wj7hnzIG6+9VZq1agqL8W999yNt994TXX7I+7jZB0J0e2y0mKcd+0dmDl3Hp6/+3qMOm04lFAAJ970EL5/9Ba6TcoEqRbtAKKhCGIhG4s2dRuPWlzHeUu2nliIf0HimzAs0caLMVmorSRbdSVXxyg1i60xQ/PZyR3JqWhx3g3wtGqP5oxYdalgyaYQJn4iiIrWatG6LVaB0K3bmiAbVWK4//4H4XK7MXrMGKol563Vdp4jfGZlJV5/460mJmMA32dqa2tw9w2jMHXiT7jt3vsx6sZbOaufIbTpIf6apaSyvAxXXHox5syahSeffgZXXXUVTZRzyciR+OyTjw0lg27FjpoUE1ocO2+l5q3a2r6ELNs8TMcKlu0Ejjd2cvdyuOBs2xuOpFQ0Z2wur8Pasjqu/YnjOPPGYK+O984I+OvgTUq2bY8quLmgAZiVpqyNknb/4bMPY9umdTj32tvRZZ/9dJncbMlm7rO8i2zYX4sHb7kWMyb9hJvvIX3hFjovMCs3s96pbuZEmI3itFNOwQfvvoOLRo7E77Pn0FjVUSPPV63Y1I1cs2pr1mvmbUgt2RHOoh2LGKGBnIy3vaQMfyxZjT+XrcHarYVUEZuRmoyWWRk4qFdXHLpvd7RrmSMaYIS4bsNVXEjExqzatByYkZyNvBx1jDKs2+pntrjgzmkNB42db774bW0JfllRZGsAiAd13KUN1bad8/k2+HNEkm3dZtbs+lzHBYs2dzyzTE/57F20zG+Dw4YdT9t3yF+H5++5AXOmTsQVt91Hc9UQt3I+vELsS+rnqooy3HDFJfhrziyMfeJpXHr5lVbFMPds5O+oKC/DJZeMxFdffAGvx2OyVBvb4lzAI96Y3gg0SEvN1nOVmXjSc+B0737hRbulrb1q5k+onU1Itpu+P6cm9DqpQGAIJuw1H9W3J00Qdf4D4/D+/dcjIz0NiJEBiQkGXO+zaE9Y9mU7+y6z5JGb8jHaZIDUDOdEPqOJjhUthka9Z6c2+ais9aMuFEGy2gv0hEibyipx7gsTsLG0Eu+cdyyN6SQu5FEHcEjrlpixYRv6dk7nSgcZk0+W242b0trh07pC/B6uRDpc6OVMg4cKipr7L4V97LQRY83/hdZ9/B62bW3W1juR/eRPJS7jxF3812gZzvHlI9vlpi7kxJpNCTZJhEYs2m6SwMoJF7Fme1SCTazaLo8TsbpqrLj7VvR87Gmk9eyF5ohQwI8Jn36KsvIyPPHk03B7fepvSF4ybY/8L2NsE007pRZETqBaU7VtkNPYdxZrB+0nWiwp3dSupzcIcysQW5cdya5XQekAtmzaiGtGnoctGzfinY8nYMRxJ+jnkJjT6ipSrkuF3sq0f3KysvDTO+Nwx6PP4oZHXsTiFavx3M2XolPrPKzdVoiuedkCseJLcakSqbqmyinuz6I9ibxe8i7oH6HWY6ahwBo5UFfcSXpZMNGebyHO2jPo5Jsj4uKxohlK8dei9JMXkXPu9fC26YTmiFhlMWLVxdyozKt3jJfF7BFMHFAnC6ZMJaOVOlaq4gW7lromQsqjj4zFBx9+jLPPOgvPv/Ai2nfooM8hTkJmNMEkpvUvlcSza6v9y9zfyHm0TZmmIwbyecvmjbj24vNon3jt/U8xdMTxgpWEHcjPVGydnZODz7/6Fvffdw9uu+VmLFu6BM8++yzN0CxMmFSwZBfi35s2iutCERsLuFmAemGpc52+X9/W4uQt+ifxWIX8Do0Sukwkm36MILZliUq2k9ObLcneUF6nuiQSd2XaqtXfIab9HmpyRbXdsaGMvfkv3ngBBw46CvsMOFTbY1+zOhEZWW9Oivibk/uTTOVV5WXw19Zgxnefo0fffmjbuRs9izyvqsxVC/BRGUqTn7dt3oS7rryQrse9+wmOOfY4rZ+q19anPa5POZ0uHHzIIVi0eAm++/pL3H3PvbjxznuxeNkyvPDwGCpv0DGfWbOZS6xGtPS1Pt1pBJu+R0KWY2iTl4szjmqBM446ROsLJg8Rk7XPyFLO1dZmYZCC+zgfj214QBqkmvMs4S2HUBApL4AruxWczZRsT1tVjEmrinQlT0OjC29TY2TbepaYJZw/tz6SbZtdvAGSLVjBNfl52dzZuPXp1+h20bbNeOS6kSjcsgkPv/YBjhg2wka+YjOZiKzsHLz32Vd49P77cO/tt2DF0iV49Kln4PN69P7Nhmh+Lrnmmmtx7vkX4O03xyM7O8voFZwcSLsPO094fSZTnsPYTAyNtf0yJW4MkaoSuNNbwOnZvUIqdjvX8YrpP6Dily/VhGEBElNJkoepVijVEmUsLIkFia0ZdmAv3HbOCFzwwIuoqKxSE16QuEuFaCdVyzOxTJljrlXw1hEbMs4EdcEFnLOQ65kixeyUxx5yACb9s0SzVKnHzlqxEUc9/A4l4BNvOhfH9u4iuKz2zcvG0vIqo2SQWy0bRBY1aZQa13x2cj7O8LZELaL4KLYVYURNdbXVbbHJGp/EadXcPUVHP7M4q35vnE8GEdKQiFbZq8Vkb4Yfs2PluMDXCrkuj0awnarLOCHZbtVdnJRkIqSaLdR9nK1dTsT8dVjzwN2oW6dlfG5GiATqaJzxg2PuxYhjh+Ocs8/Cti2bNK0lF+OsWYvFfbxmU3RrNRYjTk4/jq/da544OBJjqzeOq03WJgHTl3PnzMIZI46Cv64W30yahmEjjhe+J9k2I8S6YPa74lyYPB4PXhhzK15/8Ha8++1knHDTQxh68AH4aua/XDZYsZ4pXUg8tbbN+pfwveYqTr+nnjTqcfo+co6bO9bsmm5ySSfhH3x9bcOdnVU24IUz9s7EF6YE/Cib8DLCBZvR3EBK28SqmLu4amViLuCCazjNlcFcxInV1vhMrLj0PGGf5mJuSg528YUX4NlnnqYZySf/MpEmmTG7gze69FccTzny/d9/zMKZI45CXV0tvpg41UKyzUIcTPGxBKQvEGv2iy+9jA/efx8nn3QStbjV1Gqu1iZCIKraVIu+4Q2g3sGslNbP49uoILnWp1nbGfBkmyQfDSO2eQmUQPOrtb2t0o8tlX5TGIONIM/2k5NYG9SucdJFV+HHj94URxim07DEdifwnykZIO9plZaVg5ZtO6DHAQfhs9eew48fvWXxqOI9Rub/NRuXnzKMhg29/91kDB52HOctwnmVcPdi9776mmvw8muvwuP14rmnn8Qrzz+D9z7+DMefMxIlZRVQWLwzJ7fp7tvEdZtYwzRvSd3dmy1sHznGJR6j79OOU70tybXEa4jJzswkm8Vlq1UqRMu1yZItSGMKIhVFe2R94Z3F9NXFmLiy0JTJvv6FHKOLrwIXEN3EeQWnI1GSzfUzQ2wRlenmUqtUfuYs26SG/a3PjIfPl4Slf/+BW88egaC/DuO++BmHHXOsxYBhzAf2IPMCsWY/+fw4fPrRBzjntJNRUlIi9Fnem5GsRxx3HO677z6cf8GF2LBho+ihYfIYYy7ldougzHXUt5gemldgNQTeU0pREKkuQYzkX9iNsFu5jpdN+xFl334Ep9cNl8ctrJ1k7SGfPdpnzX3cow6O6qDnwT+rN2Hsh9/jg/uvRwuiiRHib/g6hXzpLZNWkl8T8K9IcBs3u5GrApzqehRFQXEp7nzpfbx352U0w+XbP/6KW976Gof16IB3rjgFmS4XaqvrUFBSge2llSgpr0GtP4DPlq3H/pkZyHS64QzH4IoArnAM7rCC5KgTSYoTzqgDwaiCZeE6vBPcimS4cIojHxmKoanSHlj7l2ntTNomQ39b7351y2zbZgOFVsJLS0qyRKlGIYI4w5ePFEKuNfJNiDaxZpM1cRMX3cUJ0Tbcxgnp1uPUyfGZGci6+R50OLA/mgOi/hpEArVCEpS16zfg+ptuwR133IEjBh+lCyo0CY6N+7gRB2fnLm64Etp9X58bubZLgGViMpdA0sIJmGvUVx+/h0fvvR0DDhmIl9/5ALktWiAaDqGsuBhlJYWoKC1FKBjA0089iWtGXYVIKEjjoJO9biR5XEhN8iI/JxOtsjPRMjMVzmgYv//1D8665SGkJSchPycDv75wr+46jnDIUNCFxazjagK0KJSIkW2cJUJT16yfa9Z+fVDXX474InQCZLAka/Zx036NcTGSrdfbNi5q3IK4kV9wMzx5bdAcEKsqRqxiu/bJRsLgrLNiDBmnwKDf1ZMYTYiBNM71B4K44667kJvbEnfdfQ8V4K2Jzmzcyi0JCM0hgka7mfDBu3jontsx4NCBeOmtD5Cd04Jm3C8tKUJJUSHKy0pprB3ZR/oEybrs83mR5EtCUlISUlNTkZ+Xh1at8pGbm0tdCv+YMwcXnH8eopEInn/+OZx71lm68oFXMhhKChavblj5DPc8fiAw9jfsRs7/ncYxvFAU383QfJ4YuqWvnS44Ox4AR1IamgMKqwPYVO7XxmmOqFrCGGzcyE2JM1cu/Bfd9ztQFYo5oRsCyU7QwCSQEjaOmUYubUysrarA6kX/Yr+DDkNySoqeZZkoh3/5/CO8NPZu7H/QoXj81XeRm9uCVmopLyXzQhG1jocCAURCARoaQbIuJ/l8SE5OQkpSEtLTUvHZhE9x+imn4Lhjj6EZyWfNmoVzR15OE+Z+/d7r2LdHF5MrueoqTsP+qDs5CSci+1WZTqguwwexM+ueoJxi+5hcyY05gqu4ubQY7x7eAMkWxjTu3sSNPCsPzmaSIG3m2hJ8v7TAIr3y5DYeVNnE1E5NVmJ+HxIm2XFcx00VWHilmOA67nDg9ftvxvk33IWFs3/Fm4/diz79D8GYF95CtiYjVZUVo6KkGNUVZQgHSV8IIkTC49i8kJRE5wYyL7TMy0N+vjEvzP1jNq64+AKkpaXjowmfoXeffS15Qpg7OcGWzZtx7bXX4OSTT8HIiy6Ez+ezmQ+0bTM43uQwy0y2MIcLWa8jHmvMI5Y5xeGEOyN3t3Ej322I9rRXXkTeX1PhTfKohNrLiDYj1to+7TMh4A6yrS2GNtKNxRsKcPdbX+Dte69F2/xcLbEFV0aB1yLyRFsg2Xa91C5G2xqzTQdrrUzEufc+g2dGnYMH3/sKH079Ewd374AuLbOxZnsx1haWobwuEPedaF7pcb/LdLiR6/DQUlwrYrX0mY9GC3RFqqUpqw5a9I8TBibzIJXoXtXx0rDYeBwORB0xzFDKkOf0YqgnW7Vgk8Rn2sJisolV203INReTbRBsw32cEe2oQ8FTi1agR6t8jPn8ayS17YC9GVF/FaI1FbR9Kg6uvIfTidq6AG685Tbsf+CBuOba61Thii/1VU/ctiUm2xTD3diY7cYQbTaJxKIRPHb3Lfj2s49pSYpOXbpi47o12LBuLSrKy+O+E2KZi1cXktTObpPXAj06tkOb3GxM+2s+isoqcO9Fp+Kec0dQJRcl3IxkkwoAhGBrcdoKIdyEbEeIUMXHZZvitPVyfww2LuT6CzFlEDdt60RaINtmkh1fUnCmpKPFRTfD3aIV9mbEiHa6TK0FbYGFaBvbdpnFRcLNZfPVte0G6TYT8C+//hpvv/Muxtx/Pw4+5NAdItsEvDtuOBzG6NtvwpeffoQDBxyMjp27YEMT9IXWrVuje/ceaNO2DSb+/DOqq6vxzttv4czTTrWU9rKrL24l29yT01WsEWS7CYi2HcEmfZJ9drnh6tx/r4/ZLqkNYrNGsplyVUmEbJsSj7G2GQqF8MFzD+PSO8fqxxnjuzVDfqLgPTCE/Zx4tfSv2fjuvVdx06Pj0KJlSyozvfLgnZjyzQT0PmAA2nXuQhOpbdmwDpUVO9MXWqFHt65o26oVpv36G8orKvHW84/j7BOHq9n3daKt9QlWjpXKcGo1ClUxZfQLPWcP+2PZmM3/obz3I/veXCNbSKrrTIxk0zJGmvHD7H1CFpKBOTNPlYX3YsxZX4YvF5EEoVZJRHB+i+djx5Ffo12KBNq4YuIkmxFVojgS3MJ5ks2RbjV3jZF5vGjTenw1/nl4vV7M+PYz9Ny/P9p27IxtG9dh68b1qN6JvpDfqjW6dutOE2vO/HU6Kioq8NKrr+P0M87kPLM4z0ftFRBl7SeffIIJEyZg6NBjMPKii6kCzDLeM8Qj34r62Zgz9C+Mtd3+HSHa2p08mS13i76wWxDtir/m4MXrR+G37UV46LAD0DIjxUS2ydqjffZwVm6VlOvWbbfh+kNI7PXjPsLrd12Jzm3bGK5BFgu3lk3cnCBNcFswWbe5Cd+WcEcjWL1hM6b88S++nvEH/liyCuGIWtMvPdmHnm1aonurHHQmFrnUJOR4vWjhdSPD4YQnGoU7FMVt0//GXX16IjXiQF1tCHV1QVTVhVDkD6IoEEQxKTMUCWFrNIjt0RBKFJKDXEUm3OiAZLSCD+2QTIk4fXQLzdb/KGGf1XptGnSYBoy6i6sDxVYE8GesAsM9LdDVnSwQbLq4iLu4UcrLxRFtSrDpZ4NkM6K9sqoaLy5ZhXO6d8DQjm3gy2+Fzg8+C3d6JvZGxAI1iFYUcHUz1TaqEm6VeJP9L7z0MpYtX4Hnnn8BvuRkzbJtJcv1bZuJgtWdzyR82Vi2ecQj2mSC+GvmdCz+dy5mTpmoZxJPTUunSd669ehJMyS3bt2GZr0kwlFebi7SUpPx4nPP4qwzTseBffdFNOhHqK4Wgboa1FSVo6iwEAXbt6OwqAibtmzFyjXrsXzdRqzZuBVRbcLp0rolhvfvg8N7d8JRfboiw+fSCLdm0Y5LtA1yLRBuk5bBSJTIvwj1H2a1tlqwue04x8UFdx9XVg5yL7mTku69EbG6SsSK19v+7Wq0po0nEu+ixluxBdc1XniNZ81mQq5BwMsqKjF6zP3wJSXhgQcfRGpqminpmZiFWSyjp34mJPq36dPw79w/MfWXidRVnIBYGLr26IFu3XtS5VOr1m3QMj8Pefmt0KJFC2r5S0lOhs/rpTktopEotWIQC3ddTQ1KiotRVFiAoqJCbN2yGatXrcLKlSuxds0aagEn6NK5M4YPH4ojBg7EMUOORFZmupEELQ7Zpm/UYt02bfPHNIps21gwOOHJQu65sAEae8w/q9sHV/eD99pyR1WBMDZqic/slaZmJasN2RZqw6tj/ycvPYWuvfdH/yHD6Xf66zYrWu3sUPGsU7prrGW3QErmz5yGpX/PRkVJEebOmEzdYwlSUtPQsVsPdOrWgyqf8lu3QV5ePvJbkb6Qi9TUZKQlpyApyQuPy0Wtz5FQiFr2SCx4SXERvvnqC6xfvx69e/XEqpWrsGLlKqxZt87oCx3bY8RRR+CIgw/E0EGHIDs9xSDcJou2qtSx8axgf5S6wf2h4EILxXFHINls/OE+m8clM+lWlYjxFIza2umCJytPvddeiCXbq/DOXxvjKoDU122Tn0j4iQyCbSbEojOZYeV2JmDJ1km001QFIA7JZgaI4i0bsOTP37D4z9+x+M+Z1GuDIDk1DR26dkeHrj3QvlMXtGzVGi3z8umS06IFUlNSkZKSTL06iMWaGDJIXwhrfYF4gRQXFaKkqAjbtmzGujWrsHrVSqxfu1bvC506d8awYcfisMMH4aijj0ZOVrZJllPXRP6ZOHEiPvroI3q/S0ZejMGDB6vfJ2SJVkSyLZwiGjCE69VLtLn5RPCi0raJ4ikr///eF/7vRLtuw3osu/UGOMIBrKmrw7NLVuK2fr3Rt3ULjWQTayexYnvg8qmkWrVsc6SbEG2BcKtke3NZFa569l2Mu+VS9OzcQYuRcdtYto1SQGbrh2hZclg17JpmPRoOY+bfC/Djb39i4u9zsXrTVnjcbhzQvSM2bi/GpSMOx2XDDkHbzFRauzEaILHnQbomidAi/oBeV5us/9pYgOkbtuP6rp0Rrosg7I8g4g8jFIgiGIwgGIwiEInRetoBUt83EsO8UBV+iZaiNXwoRpiWACNPTAg3Id6dkYJ0uI1SBRoM/Y+4zzJQcW7iNEOoAwggitlKBTxw4DhvC1q+ixJrB0ew6doJj+Yu7vGqic9oTDb9fbX4bEK0NZIdQAzjV6xDSSCI2w/cBy3TkrT4WCdSe+2L9rc+qP6eexFIPHa0aIP6e2jeFqrbuEayTfumTJ+BF8a9hFdeew1t2rZLyIrNyDgT/nliEM+iLVi3TdYOHZy7FRnAF86dgznTJuHPX6di0/q1cHs86LVvX7Tt0AldunbH6eddgHbt2lvqPxoZZdUaqV9MmEC3zz3zNGp9ULPFhrk1yUBOyv4Rq7VaFzXkr8WSFWtwzj1PoVf71li9pQBrtxXB5XRiYK9OGL5/d5x4YA90zM6giRZjXMZxMpnYZh3nCDf907mAJjVBj+nHNJFtgWBrAlI8gm2uS67fz+adezt0R865N6hj2l4EmiW+YJUaP207eWsjlPaurKSbH8P58jiqEGzJOq7X2yb9yyzYcoIwHJjx66948qmnce99o3HYoEEmos25ixOrdTRCM4GTOO8ZUyZh3do1NGauT9/90aFDJ3Tu1h1nnX8h7b+6BwT3HnRBzmxV4ZSdTLAUXAC1z5FwGMceOxzt27enY/a/8/7F2rXrqIXjsEMPwYhhx+CUE46jxIP0D4Fs6+/bzpW8sW7kCZLteC7rFvddpvRifVIBUrLg6tpfVZrvRQiEo1hfWqNXnBCs2JqlmlWiiDZk2RbGfAWBgB9zJv+EI088Qx/n2WvXS2/psrA4yOk90TT28RZC4fhoFCv+/RPzf5+CBbNmYPvGdTS7f4v8Nui5fz+069QVI844D63atqOJy0iokUerqc2SwerzBJeh2cg+bnxHEiONvPgi3H3H7ejbpzedO4ib7bKlS/HMS6/SZIX/LliMNRs20r4waMABOG7IYTh12GB0aduKXkOoJiNoILg2aqcUNZNrs4XbrOSzU/yZxh2RZJsItr4yxj+icCKus3ZzyZ6MgqoAXpi5lsq+8WBMqyaPCrbmvS1Mlm2eRBvXEolxXJIt5MLhyLUNySbtavX8P7Hw92lYNGcGCvS+0Brd+5K+0A3DTz8X+W3a0fK3tOa13t4dFlnJvtwrnyeEzzAORCIRrFq+DC+Pe55+t2DePKxbt5b2hUMHHoZjjz0WJ558MlXOujXZgn8nW7ZsxnvvvY8///gDZ5xxOs4/7zzqsm6rPCWwI8EW63bDx3MHiHOT7fHaPOPxwU0s2//HvvB/JdrhyiosuupKhIoK9LjcWsTwwPylOK1bewzr0paSakqsfYRgq4tKsg23cmbxNsi2VyfbhZW1uOzpd/D0dRdi3x6daYIKGs8tuPGwmBnenUcU1LTXJfyYpLMsWrEaH30zEe9/OxFlldVol98SIwYNwIjDDsRRB/ZGmteNb6fPwcLV6zH6vOOghFQ31lgwREt9qUQ7gEgdIdhBRAgBD4QQ9odwy7S5uLRLR3RyJyESIERbJdyhQAQhfwRBjmiThcRsb4wE8Eu4FD0dqciLebEBAWyEn1qcSQ1uQrP7IA37I5PGdRvWa1VY5f5CJr5q4p7hJk46dwhRLEAVtaQf7clBR3cSzTROSbVpodnFmbu4z0XXBtE23MVZMrS/S8vx5sp1uHSfLjiyHdHMqgnh9GRSLieyjhyOvPOuwt4C4q4WLVituqzRtqe6igskWyfbhpV73YaNuO7Gm6mFrf+Ag4zyXw1atO3it0U3Q8MaJ7ogquOXSehSFKxdsRS/fPM5Jn75KaorK5DXug0GDhmKQUcNw0GHH4n0tHSLcMSXo2Dkmi9ZsXHdOrzy8ji8+OzTcFB3PpVk84Sblv0iSRFJAgxaSk+Nyd68dRuueuxVfD32RmwvLMakuYsw6e/F+HXxatQFw0jxenDF0QNww7CD0SIlySDZGtFm1m27Ml/qEKCNA/UMoYkSbCFPhLV1cPfjL65eP/mAQcgccR72ur4QDtq7hPHv28a6I5Juk0VbO8cc86gTcVvrksm67XSivLIKDz/yKIqLivHAQw+hQ8dORt+JKVi8eDGtyz3hk4+oG3jrNm1x9LDhOGrocAw6cghS09K0PyOuXcbQCwgkOz75tiPa5PPDY8fi6KOOwhGHD6LkYePGDZgyeQp+mTQZM2b+jrq6OmoVuebyS3HLdVejZW6ORmjZ82lk2o4EN4kbuY2bOC0rZtqnl9NUz6H9QY831ywlOe3gat8bewtITWBCskMkfwR7czahCcyVnBwfayTZrqutw6TP38eJF1+t3cNQqpo9m3iI1m5eeDYUQeS8zauXY9aPX+H3H76g8dk5+a1xwOFHo9/hR6PPwYfho2fG0mzkI86+UC/bRcp40RKhpsVKMgwFrZ4UVNsm5R8vufhivPjcM+jZrYta1otZrTW38Y2bNmHStF/xy/SZmD77T9T5A0hJTsK1F56J2y4/Hy2zM21is+sf8+k74Ii2QLDNoSx2hFrPNSG6ixtKQU6ZaL2xvt/pS4E7jWSM3jtQG4rg+d/WoqQ21OCca+cYZr9fjKG2s2zTsZSSWf6YxruLk2XbmuX4Y+LXmPPjl3pf2H/Q0Tjw8KMw++dvcMGNd6Fd526CO7lKstXriCVSuVKpJMySM4IJseC2CTrFRJ7k7C2bN2HalMmYMnkSZv72qzYvpOCqUaNw4003I69lS0ERTNakqsUXX3yBTz75GMcOPxZXXnE5jQ03YBrb67Ns069Ektwg0dbnHX5uMp/ngDM5Fe60HDQ7ok1cNhdedzOqF8wTMk0TshV1OfDU0pXolp2Bkft2hYuQbEq0Cen22LqTMxdy6lJOiLZm3SYW7JJqP0Y+9RaeuOYC7N+rq2HZtnEjF8m2jXWb1KAMBvHZj1Pw8gefY/6yVchIS0VudiZ6de6Ab195lA7mek1GmoQphHNHP4fHLzsdnXIz1H20pnYIsQAh1xrJ9hOSra7JUlBWjbt/n4fn++0HJRijZJsQbbqQutqhKILRGIIRQrJjCBKyHVPgj8Twe6QCG2MB9HdkUIt2WFHwi1KCLfCDOZl3QQr6Ip1+b45JEdZ6BlOgGCEsilUhiBgOdmeipytZJdIkAzQh1cTKRj5r1mzizkIzjJOs6V4X3D77eGzyuweh4KXla2ipgVv67YM0n0dIiMZKMzHLdsszL0PG4cOwp4MKP9tXAsFaLn40vkWbJ9xkXVldgytHXYPTTj8dZ559DkeqeUJtJdtRE8k2W0jsSDbvSk4QCAYw7ftv8OUH47F66WLqDp6Z0wKdunbHk299omtbSfMya2PVicNY85OGIUQBp51yMn749mvNok2EJZ5kcxZuRrSpdZskQQvh66m/459lq/HIpaepfTISRl1tLS594SP8tngtakn5I5KFt18vjDpqAA7q1FoVpHSyrSVBi1NP2+o6bmPaZtp13R/LxtLNubJZ2ofaSIz7CZdWr5sx7Cyk9DsSezpoOytar2aTjjeJ8qTbYtmxfhbcx9kxQhy2yaJtip20jZkkii44sHLVKupOTsoKXXHlVfjuu2/x+muvYdHChUhPz6Bu39179MT7E76gt+ccIdQ/pZ53YXbdM1uz+bUuzJmS2hBs27oF999/P959+y3OKkzisxWa8X/klaPw28xZqKlV3dhPPfE4XH/V5Rh4ELEOi1a8HbZs7zTRNsKzLG7jJgu8s+0+cLbssFf0hS0VdagNkeopHAG2Idt6crSYnTKVJ9s2LucAXr7/Nhxz2nno3re/EPJg3hZ0J9xz6s+stdNwKIC/Jv+IqRPexcaVS5Ccmo60rGy06dwNt77wLo0nZVnRyW+9dvE8dO25L1LTUnXrte3C5hA2Vwhkm58/1HXh9m24/LLL8Oq4F9G1cweBZNM1TQ6oLoG6Wlx8w52YMWcuaur89O85bfgQ3DDybBx24H5af+TbKP8WTOCVeyZLtT7O2HxvzS1h8ryJR7D5e3JwpWbCtRfkLiAKpDfmrMfqklpd8RMfJvfvOC7lvOcFT66djSDalsRmTqu7eCQYxL9Tf8CML97DppVLqTs4ycRP+sJtL7wHl8uBaDCAmT98gRHnjNTbsm6E0Ak378VRP9Fm84BRVsxcFcOYI+wUuMTT5arLL6OEu1abF04+5RSaF2jgoYdarP4kNvzbb7/B22+9jeHDh+PqUVdpFm6C+sm2+MuZ53ntWOEzd74+52geDnYygiaDuVKz4UpOa15Ee8UjT2HrZ1/orsIi2SYEzIF3129CTTSKOw7uAzcl2xrR1uO3mZXbINvkMyHYzJ2clWEorwvi4ifexiNXnYsDe3erx42cZSVnpMYY+IrLyvHS+5/jzQnf0u3jBh+Gq88/Db27d8btj72IK846GccdcbCeTIOsVXfWMFat24j73vgUn9x9OSUFvGVbtWQHESUEmxJvlWiT5edVG7GosFx1ISfu4zzZDkURCscQChPCbZDtkLaUxCL4O1yJLUoAXR0paO1IQpbiRhQKliu1WKBUoQIR5MGLAxwZ6IFU2nmZFxJLxlaMINYpfmxXgshzenCIKxOtXF466VH3Li3juE62ibs4I9i0hJdTXVsSnxnu4hv9fprw7LLeXXBYuzyVUHN1hxm5Jgv9juzzetDqijuR1HUf7MmIFa2DUlkkCve8NVuP1WbJ0fht9btQNIZ7Rt+PlJRU3DfmfnoNvfxJgnHbqhXEhmSb4v7IgFFeUoLP3xuPbz99HxWlJTh0yFCcduFl6NS9J15+dAxOPvdias3mB35hgmCTk8myLbgBaoLVzTddj1tuuB7dOncy3MctbuTGZ5b8jFi1Cem+9onXcPLAAzC83z6aAoyQcRJ+EUBldS2+mL0A4yf/hTUFpTigYytcffQAnNavF4jDFCXaUVWwVwm3iWwTcMSbfdbBW645dbCQIM3sL2wD21hw7fr0Wi4nss+6jrqS78mIlm+HUl2ikycaPxyXbPNypUWsMtwpOUuQIdzy+5m1mhduEyHcquWpqLgU1994IyZNmkwTnA0/9lhcfuVV6NGzF+67525cdMmlOHro8Lixrw3B7PJosWYL1hWDaPPHXXrJJbjzjjvQp/c+gvu16nYXo7HeVdVV+PzLr/Ham+9g9dp16Ld/X9ww6nKcfepJcLvFusMWSzMnDAlk284KvtNEm3Mb15/BaBtk5eo2AM50krBnz0VxtR8V/rBIrrm2wycwE8h2HDdygYibCHhleRlm/fI9hp8z0iiVxBSr+v2sCdL4sBmyqiovpeT6t28+QXV5KfoOOgpHnXkR2nTugc9eeBiDTz2P7hOTQanzwEfPjkXnnr0x9JSzqWLeSrSZGznn9WRS0IrWbbUvbN+6BVddeSWeeuJRzY2cJD5jpf+0tUa4yXgTCgRRVV2JCd9NxGvvT8Cq9RvRf999cOMl5+KcE4fqrrT1k21unBHGHNLiTdUPtDFKGIO4cctKsuPNF9yYx8GdnrPH19j+auE2/L6+lG4nQlns5lTepZyfjneUaAv1sAX3bfWY2ooy/Pr5e5j13ae0L+w36CgcfeZFaNelJz59fiyOPv0CasmuKS/Dv79NwrAzLuDkIaNfME8NlpmfJ992RFt/JsHt3SgjZmvBjzO/kISJNVVV+PLLL/Dm+DewZvVqHHjggbj2uutx1lln0RKsZsL99ddf4e2338Zll12Gs7REa2hyst14ok3+oZnIvUwBsJcT7c2ffoWlYx6htaJp0itak5YRL4OAEUL2zdZtWFtTi/sG9oU3SYzRVq3cHtWtnI/Z1kg3tWprNQ4J+a6oC+L8x97EG3dehY7tWqnx3K44buQaASdLaUUVnnvnU2rBJrjkjBNw3cVnowfRkDLobmyKkLlS0S1sYXzww1T8uWQlxl19FrXMUaIdCiHq11zINZJNPlOyTbdDGPf3Mmphu6xDR0QCYS1em8QcRekSITHbhGhrFu0wW0hNOc2tfGW0FltjQRQrIepC7oID6YobEcSwFUGUIExoNjo5kpGuuFDriNIa3cTVPN/hRXdXCjo4k6grONMsE60xv01JtuYq7mbkWv89jfJdPNFWXA58sn4TFpVX4d6D+qBVeopaP1yrMcxqDfM1jBnxprXFMzKRP2o03Nm52BMRK98GpWCNtcyHngDN/Jm5kbs5izc5z02333znXfz511y89PIrcGuliBqK21at26Jwxcec8gJZeXkZPh7/Cj57dzx9/hPOPA+nX3wFOnTpZvv3xSPabL/qIiWSbV6AIoR7ycIFeOvNN/HquOe5sixhzpWc7Atr34VVgs0yjRMLdnU1Ln7wRZxz1CE44/ADKMkW+mg0SstmTF2wCq9O+hPTlqxF17wc3HnCYTitX0846TjOxWmbLNk68WaTCT+i6tZs7YNlf4JxQ2Yyzy7DzYrO5DTkXHgrXJl7JsGI1VbQ/mC4CHPlp8zW04RhI/BqayPesf7YyHiEu7S8Ai+8/BpefUPtC2eddSZqamqRlp6OBx8aS8t0WZMLwkK4E/gLDIWMjTXbNmbbJDCRpIGjRo3CDddfj+HDhoqlvPia4kSpFo1iyrTpePmNtzBl+q/o1qUzRt9+M84+7SSaiE1VgPCE2PS7WMg2n2ytiYi2/sycUKUrvwjT9sDd8zA4fCnYE1EVCKG4OmixYuuE12af4EZOcrJq5JoR9Gisfqt2RVkpVi9eQN26zRnIzYpWc16Kmopy/PLxm5j62bv086ATz8IxZ1+CVh272P59ghVQIxJKNIwf3nsV7bv2wKChx8HrcXP5OuqJ17ZxG2eu5cwKSBIFjrnvPuTkZGPMPXciMy3VlmSz7OPqfvIeo5j86yy89M7HmDxzDrp36oAxN16Jc04aTuNZ449H/NjOCLZJyaePQ+aEjcZnC8muL/+ADcmm9yTehem5e2wejz82lOGzBVsTItj1QaxvbbfdeKItEGxtu66qHDM+fRu/fvEeve9hWl9o06kL57KtnlNRUohXR9+Ey+4ai47de3Eykb3bOG/VdtZHtLk+Fs993DJPmPbRd6b9w0j09KlT8Pprr2La1Kno2q0b7rnnXkq4XW7CKIxzAoEAXn/9dfw6YwbGPvQQ9t+/b3yyzUPbH5ds7yTRJv2HJgrcxfmddjnRLv3rX/xx/pVwRKO0MVFS5dZIkzlmVyNl32/bjuVV1bj/sP3h0V3INWLNyDbnTs67kfPZyMmysaQS1774ESaMvQlZWZmaVVst/2V2I/cHw3jm3c/w/LsT6CRz/cVn49bLL0ALErdjvELNpZwTEjS3JFpPmxJtbQkH8e53U7Bo9QY8c8Vp6nckTpsmRVPJdpSzaBvbYbz87zJqwb6iY0dECbkmlm0Stx0iRDtKY7jCkZi6JiQ7qpLsCCHbQq1ldVINxmIoVSIoi4Up2S5RQlgeq0OhEkIW3BjizsYBzjSqWdZde7W1TrK5SZAuLm1NSDb5/TTvBBZ7zWcYJ5+LwyE8vmgFhnbIx2ndOtBjVRKtWbGdVos2JeDkd9Kt2y54WrdTsy979yytrVJbjuj6+YZVkvei4N3EhRJfNrHa+rZKtn/8+Re88967GP/mW8jIzLaxbMexcpuzJHNx3CQ78nuvvYSPxr9MrSXnXHoVzr/yWmRk5Wj5wcQYPjaq8HW0eZItuEbpWlox0Q3vPn7t1Vfhhuuuxf599jGs17xVm6+LShRbxI2cZBen20Q5VYc7xr2HnLQU3Hv+8apQpddNVcm2uo5h/trNeOzrGfhl4Wr0bN0CY04ZjBH7dlUFee0F1e9CbmbavEuzvpdzJY/XQIwNdd4wa4CNazPC7c5tg+xzb4JjD+sLsZAf0ZLNXJ1ndW2p82xHuLn31BiirVuYeAsSFzIUL0a7zh/Ec6+8gRdefQMxJYZrR12Fm264Hi1yc2k//HPuXIx9+BFccsklOPX0M6iwG7OxEApOEPrz2k/HZpLNb+uCooWEi2Tb7/fj5ptuQp/evXHTjTdwrrBcmS/TesHChRj7xDP4efJU9OrRHQ/fdxdOGnGMes2EyHY9Vm29LEs8os2dE7Mp62W2aOuKC+16SWlw9xy4xyXNDIQj2F7pt/WA0EWMBtzIWaw2T5D1OG6egHPHhMMRjL36fNzx/NvwpaYar9bsPq7fV0Ew4MfED9/ApI/fpMqPY865BMPPvxKpmdm2fxsn+goxrIZHkzpHfPzCI8jOzcNpI6+CjxBuG/dxPm6byCO8xU+0cmv3QAy/zpiOZ555Bhedfx7OO+sMLekZIdwxG8It9o15i5di7HOv4KdpM7FPty545M7rcdLQIXqIhvEXmrxn6B9sp+izqYjAW7dtiHdDiln1nua9RIZyw5ORvcclClxXWovXZq+nsiyTM3gIuxqYTpuKaBuEVSTYkaAf0z99k5JsMkYddfYlGH7BlcjIyhZqZTPyW1dViYriQng8bhqXzYwRfH8wu40L4Xa8d2Acom3J3WGyatuRbV2s4F4o/x253sKF8/H4o4/il4kT0bNXLzz40EM48YQTVXnd+DlQUFCA0aPvQ17LPIy+714tfrsewt1URJtXBJq83sh8QOrN78q+sEuJdqi8ElOHnIJQcYnWeNXab5SEuTXCbc5GrZHtH7YVYGV1NUYP7Ku6kRNizRKk+fgEaSayzWUjp5ZtjwdzV2/Cs19MxmcP3wwXcamhNbg1sq0RnK+nz8adz7yBgpIyXHfRGbjjygtpySFRS8nWWvAd+/E5QVGP1aZEW7WyPf/xt6isqsGY80ZQ6xuN1yZkO8jcx1XrNttWrd1hjJ+/Atur/bixWxc4QjFKsCnpDhE38hgi4ai6jsZUkk3INtVwW4k2v83LJltiAUwKlWJ1zI+erhSc5mtJ3cR1AqSRbJ10s4mOKEq035Fot5glm+wTE56pYQFTC4vx3catGH3wvuiYlc5ZrHmSza/N7uMaKadKGheS9zsEmSdchD0FhABGls9WE3lx1mxzjXdzeS/buG2BeKuu5n/Pm48xDzyE1994A23btbfEbYulwOyzj6vCWQyTf/weTz90Hy2bcu6lV2Hk1TciOzfXauUwEW7yWdD+8hYMwSXK3n2cT3hDSlPcdust+HLCp3BSRZZItlXrtka0abx2mFpIeLJN9o3/aiJmzl+GJ0edjdZZaRzB1sh2TF2T5Z/Vm/HwV9MxY+k6HNOnMx47ayi65WXbkG1DArYfTg2SFO87mxaiv0OBRJivb1OvO2mfAUg/9nzsKSC1aiOlW9QYez1uUh1DBWurDRFUL2C2lnKwFWTN23bldKwWbjKlf/3zZNz10GMoKCrBtVdcgttuvI6WWjGUYuqxpJzjPaPHIC0tDfeOHqO6mZtyIQgOCiZnBZM6xVjbCkRaO9AELXasWYhiV37j9dcxefJk3HXnHTTeTnQlN79f1b3873/n4YHHnsK0X2di2FGD8eyj96Nn1y6NINu8IFRPrW6769m6jYv7lXgCW3YbuDsfgD0FhCBvr6il87ad90M8si26kavWa9VLyVx1Ij4BJ5//mTkNtVVVOOy4U8W8HCZrOln/Pe0nfPbCo6gsLcbRZ4/EiIuuRnq26k2jtwKzwYrbwQR5C9nWtmd+/zmcSgzDTjsHST6vRq6tLuXEi44n1FZ3cnZ96rRNy4ARN9ipU6ZizH334JABB5rGG45wM+8aphhSYpg7fxEeeHocpv7+B4YPPgzPPXAXenbtbN9rTVZt1Updz1gUz4qtXcco7RUPdt9r79mTBE9qBvYU1IUieObXNagMRNR2Rx1YTCpJE5+q7/U0HdE2JT+DgsUzJ+G7lx9DdVkJBp95MYZfOApZLVrqx/FefOVF2zF5wrso2bYFNz35Cg1F4K3c+j1s3MYZwTaMFIbFmyfaooeTaMXm83nEs2LbOODZKnTn/fsPTbY5Y/o0DB06FE8+/Qx69uihvW/j3ClTpuC5557FmNFjMOiwgcYvKBBupWmJtvjrC59oosD0nL2TaP91zZ3Y9NWPWoPgGishaJr7OHMpVq2fItn+dONmhB3AqAN7akm1PHGykcdxI9eSpBHC/ebPs6il97qzj6eZyCkJd7loKaAbHn8V0+cuwIlDBuLZu69H104duARVbPCDZRA0Ggs3QLOajKReL3Fl1dxaX5rwPZas2YgXrj4TXiIohAKUbFtJNstEHkYkGMKk1Vvw+epNuLNXd7R2ew2yTdYhbTuiku1oVHUja5Bo6+5ghi52SaQWX/iLUaGEMdSXg1OTWyDZ6RIs24YLl/YbMgWJ5png1Ag3Hw5QGgnj2aUr0T0rHVfu1x0+H/Eo4Ig0R7DVkmuGRduceZz8XnxytMxTr4SvSx/sCYismwelbJs28pF4dMOSLdR41+tuuuLHbRM3chuyvX7jJlx93Q146aWX0blbN5FY0xg+Pg7bavEmtRYfuOsW/Pn7bxgybATufPBxtO3U2XAtN7kUEjBLBxMIzVY3XaCyjacTk6QJ1goH8Pab42k28ztuvVkl1xqpFki2ljCNZm9n1m2ebEcjmLdsFR599yv06dQGt5w5DBlJXnvrNslCHolg4rwVuOvjSdhWXoVrhh6Mu04chGS3WyTc2t8tsqedg4XIm1yNeas4I9lsnXHSZfB23jOyL0eqSqD4SfIzLmZScOHkyHbMKvzq793MVgk4Zajhqi9atM2ldoQM49p69YbNuP7esZg+60+cMOxoPDP2PnTp0sU+caHubu7A+Lfexdy//8Y4Esrh8XDZ/UXyRMArqMzgibX9Z9F6zY6xs2yT9bZt2/DKK6/Qckd33HE7Bg0kwo9Gttk71ucyg9j+OHESbh/9ILZu244bR12GMbffjJQkX/1km3cd1/9Ag7jEJdpc8jOLNVtQavNEm5fA1X2urgPgzMrHnoDSmgBqgyS4K36oQUNu5MyazeZ8nmwzt3K+3jbvZk72lRRsgycpGSkZmQKBZz/Ntk3r8P7j92LZ3Nk44IihOOeW+9GyXUfjOPKHaM/LQ1TIagdxFjZzXCpzFf/l07exYcVSXHjDHWjTrr1OrgnppvlgzETbxpVcJSaG1ZsQkNLiIjzyyMMIBoK4f/Q9aN+6ldbe7Ag3rzBSq1D8NHk6bnvoCWzZXoCbrrgY999yHZJJXyDgLNmsdos+9rBtU5LGeFZslXjTk3agRXGyKonXTs1QjUt7ACbM34p5WyuorMKHOTAYbVKJm2m8sUTbIKT2RJuRXibHlG7diK+eux+r/52DfQcdgzNvGo289p0EwqxbnBUFqxfMRXpGJupqqtCn/0B9CjLip0WyXZ/bOO8ZGI9oM5nLIN0m0mwi2+p7snl3Nueyd0V+iYk//4x77roTW7duxXXX34B777sPKcnJwhxVVVmJO++8E61ataLWba/HayLZsSYk2g1jV8Zr7zKivWXiNMy6+Ab1ptyPRAc+SqLUteFmbMT06u7GHieeW7EG++dl4+SeHTRrNstEbiRF02O4dfKtfk/dxz1q6S8iFJ318Ot49oaL0bl9G/r5jW+n4J6X3kfr3By8cPd1OG7wQCFWW7cyWqwdxKINUXhgjYYKjZrwzgn9xJL908y/8Nb3U/HWzRch0+fUrNpqJnKDYGvrYFi1bAcj2FxahbF/LsLgvFyc2CofSihGCTYh2pRwRwjJjqlrU1yW7mZmWRsSHxv6Q6QD+UvxQ10pWro8uC6rHXp4k9WBhk1u2u/GEtqx34/PJk7j8N1OTCoowo+bt+HOAX3Qs0WmZo02kWcuARrMVm2bzOOElLIYf2d6FrLOvx1OXzJ2Z8TKtiGyeq5NCRDNok1GVwdLymcQ6nhu5PZkW7WCEyHgiquuxpNPPone++6nu7AawhVPmNW2QJQ0H7zzJp4aez+11t336NM48phhQty2mWzbuRWaPXeMicyaKVaMTTK+42ujEpvijTdcj1NOOhEjhh5tTYzGssky4q3FblPLNlF0MUu3tj3lrwV4/tMfcOaRB2HksEM1d3IWu61atVUrdxR1gRDG/TwLz3z/Ozq2zMJrl56Mfp1aaSWGDDIsWNYaM7Ly3gAc4zJIpOExwEMk2IaF25magczzb6Oa290ZsVCAEm0+XpJlBFZdxw3SrRNsTQhWFR1W92Gr25hZOSoqStWwDbHcl9p/nLQ/vPbRl7jniXFonZeLF8bei+OOGcLV2tYUYALZ5r5zOPHTL5Pw4cef4J333ofL7TGUm6zPcPKBHdnmZWxeBrKQbc7iIO43XAEF13NCNspK8fhjj6GstBQPPjAGnTp04Aiw1UWbCDUkU/nzr7yOJ55/GZ06tMM7Lz2Lgw7oa0+27VzI6R8oXlMgz4kQbZN3Q31EG6SOau/Bqlfbbgx/KEKJttEG7Mi2NvbGsWybLdRi7LaRJM0aPmRsL/xrNhbM+Q3n3Xi3MLYTmWLK5x9gwouPIjM3Dxfc8RD6Djo6jhLApESy/C2KvdcTl+SJj8feumYFJfZHnXQ6FeAzMtJVom1T+sttnlv4JFKMnJA8NZoCd+nixRg7diz277sfrh11JXJzsjUZzuxRYyQPZG3UXxfAc6+/jSdeeh2d2rfDuy8+iQEH7FePVZvtZ+7jojXbrAg03M/5cxsrsvMu7E5407N2exfy5YXV+PDfzWIIBJln+baToEWbeU6YibW6T1T02JFsXQnEkVpy1z+/+xg/vf4UMlrk4cxbHqDJzsw1rBlJjkVCeGvsHehz0EAMP+MCQwFqeiZzThuRUPPeGfZEm5F2XbQ0VaSIp3zV3x/bMLUz8/H6PbjrkkzlL734Ip55+il07NQJ4998E/37DxDmI7J8/fXXeO+996hnVRui3KK/I5s72I+qNEC2d5Jo04d2qfHatHzeXkC0g+UV+HHQSQgUlag3NWlF9HINzP3YRLZ5y7bD68S985fikj5d0K9tS9GFnCfanEWbEXFq1dbcyIl1e31ROe5552s8c8NFuOrJt/DrvCW45szj8dhNlyGNJMsg5IXFbbM4bsG6yAlm9LcXXYzUhqC5Qeolv9R4bebS+s/i5Rj9xqd45brz0DEnTXcjp9Ztv5VokzUh26FACJ8sXYvZ24pxXfcu6ORLVi3aZAkTS5xKtOngpMW36C5gbE32syRPLJuy9gvxMumWSBAvlW/F+rAfZ2bm4fyc1vBSkqwmKSNk2y57PFvW19XhtZVr0adFFi7v2w0+4uovkGW2iLHZLBEamRQMl3JzvLYRs00s6L5e/ZEy+EzsriC/b2ThVCAS1DqCUyTcVHHAx2ozd3KtDQpx2/Zkm7eukXZaXFqBSy6/gpb46TfgIMOjwWzZUIDNmzfjtuuvwZzff8OFl12J20c/hOSUVNskaXZkm1yHwDIhcoM1TcwRr8yXjTXCEJyAUMCPc885B88++QR6dddqo+pkWyvZwsdrM8s2JdAa4Sb9j/THGOkvYbzx9UT8PGceRl94Mg7u0UEN89DJNjnfSL60fHMBRr3+NRZtKsCtxw/CnScdQYU8JkGKxFhpHMnmGJeu+GpMnW6TddvXsx9Sjz4HuyvIOw1VlRq/H1/jVmG/pUay9bW2TX8Tbh+fCMs8OQvSlyGwiv2OU6BqHiabthfh8nsexYw//8W1F52Fx++6CSlkXuCJtE2yQr5qAOuH3/30M3748Se8+vobasx2AmQ7HhIh2+bvxG3DcqHZzLBixQqMHj0aI4YPx5VXXKrut3XZNwSb5StW4rLrbsbCJctw543XYPStN8BDQrDsyHYc13GDvDSGaJtLfXEEXn+BvPWD1Nduu1u7kJN5uKiqTk9KSSCQVqG9mMIPLG7kdkSaj93mrNvm47TvH7nuYlz38PNIzcqm1y3atgVvPHAblv49G8ecPRJn33APvEnJwjPGVbjy+Qk4KySTSdTuyeXxMNUJ5t3EN61Ygg+ffwRDTjgVx515AXxul5EbxhS/HdedXCdBmpWbcgqS6Gkq3n//faSmJOOSkRfh8EMPUds6U/jxnjWmNr1s5WpcduMdWLh0Oe684WqMvvV6eIj3ZBzLsi3B5raNWGtuP/2orRsjtvNEn8y9Hi88KenYXeEPR/HSrHWqyzhTDHH14e3INj8GJkSy9ddijb02k2xmIGDW7Mqi7fjyqbuxZt4fOPz0i3DyNXdSGYknvYZBQbVkb165GDWVZTjoiGP0xGWspC4/NlvKhfFWcVOct0C0bep6G3+zlRizd2P2fjKDn0J5q79g+TeR+JXLl2PUVVdi8aJFuPX222nCNNIX+ONWr16Nm266EWMfGouDBvTnbsZ7jsSxbJtytTSaaHP9YVfVmt8lRPv3UXdi/Zc/GDflXriQaIsMhG4T2eaSohECR1zG/U7gjn8X4cXBA5CVniyQbSexcGuJ0HTyrX1HSLZTcCH34rzHxmPGvOXISEvB+HuvxTGHHkgTR+hJ0iiJU9eUePOkhi/FZHaR0xqLIayo1jLdYkZLD6lx2xs2b8Y1T47HbWcMw5DenbSyX8R9nJFsNU6brgnhDoXVdTCCrRXVeP7f5Uh2OHFJp47IJRaTcAzRcJSudRLNrG7U7UkT4BkJj7K6waKWmTVIQnajDuDziiJ8UrYdvZJTMaZjN/yPuq+Al6r6vl8zb14H7z26u0E6lEa6W7o7pVEMJAQUlC6RMugQKbEQURpF6e6OR7yO+X9O3nPO3HmA9fv+r15m5s59d26c2GuvtffOEOCvAWqZ2I6v1+PisOz8JWoE9H+pALJHhPJyXkLy7aOx2BJYU0OX9WbbeG1NPi4YbnZc8hr0anu4shfE/+IyaVg/xDy4i26NX0WOzOkV65eza0JBQWXz3KBX26As70UMe4XFNtulAcZJre0Onbvivffew0slSysA2zK0vv92Jwb07kFLhH0way5eqVpDk4Y/D9hWJ0MhHxTGlTlYe2bVtE9ko9VMJbXc79xCj27dsHD+XOTKlsVKhkbBNlOQyM9cUULBmWS1iSzcAnWE4b599y7GL15DjaoJ3ZohDZWT877KAR0F2ykpNGnQ9K9+wpRNu1A2T1Ys69cSmcJDdGAsgLf29L0MtdrfKWBdk43bLCbAVgw20X9D6nWGb87/zfJ3ibHRNAmadIooYFs+N1mGx5JyUsDFlQbCYeLBaisOD9vFQzqu9DenE9/8chCdR7+P4KAAfPL+G6hVqYIE1Homcs8KAXq9e9FHXZg+cxaVDXbt3kPpP38NbNNLSFVWbgBuk7mwYTVI+54/bx527foR0wkrkSO7Vxm5MG4SExLw4cy5mDR9JsqXLokvF81GlowZPGKsPQ0m++M9F9CWLKP7uYH2/7qEPCo6DnGJyZKtJost4JY5NUzg6iXPhheJOA0pU2pui3FcfB8V9QDBoeEU8B3Z8wPmvDkI/oFB6PnuNBQtX9lDUm79tg6G1GOr29RyY3JREqxSAKFVn2AycsJgk/Hi9z3foWSFyjj92wFUerUuq3RiE8NtyW3NDOWKjFwDMm5cuXyJAu4D+w+gdq1X0aFtG2RMFynboGbTyQdFkskl4sPZ8zFp+mzaF774ZA6yZFLbm8loi212EnHze7FdLM8Y3+RP2v0t4AoKhQ+V7v7vLZuO3cDvNx5Tp5BYLdvCauPPM0p6k4uL+0ExCLc/tHJXttnFgbMHf8bq90dQJ1PbMVNQqHxljwRlakKyR3dv0TCLER99An9/f+kAUhVG+vmKxH26jFyEVGhAmxMWajlHuyRo3gCxehe8Se4FZtDivrVz9JxHyGtiUiJmTJ+OqVMmo2y5clj+2WfIkjmLts+jR49oJYwWLZrjtdZtlDatzgN2YFtXNHkoolJvEOKNfO8TEgGff1lC/q8D7SvbvscPnQbqP6qsapkfKUV2msy2HqtNwPafT59i49XrmFKlNJePM7Bt1ta2spIridF8feH2cWHK+u/x/srtyBgRhiPLpiJtRISVGE0CbeuVlAwhr8x4cilJK0iTsx62fQZXzsRwIEAkrEzGymK2o588xqAPP0HRHJkwpHEVWmebJEejgFuCbAtop0jAnUTXY7cfYNGxs0jr64vGWTIjX1AQq//LwbQ04MnC2Ww6aJHXZA62tSRPCtCml8ga5snYpxh38RydkN8rWBClI8Nl1nini2WRP/roMVZfvIpAXxc6F86DQun5PgRgk5VkF1cyiFNALcC2kI7zGEcNZKvMtpp5XIBuDrSJbDaoYR84/P63JOQkq3Lisd34+Y/T+PTrH2h7H9WpOQrnzq6zaYoUlb4Xtd6lqkIF1oK59tymJUtz+OBB1CN07NINkydP1mTkRCr+4dTJmDZlMmrWqo0ZCz5BGppNXAfjJri2Y7PFNjumRTX41bgjMxZJNYbswbYb165eQb++fbF4wVzkyJJZA9Uaoy0ZUivpGWO5bRIWJidhz5E/MeHTtejRoCpaVirJ+yyL15Ygjxtc+05dRueZK5GYnIxlA1qhcqFcMgDXKvVlM7wam9i+vN+l2AFuLw1K2mOeAFuAb2dwGoS2HAzH/1g4RTLPBC+ei51jRDw/tQSPGEMpuOZgmz5TBdSpjopUjTGFQWIgm2UHn/Tpakxc9CXqVS6HZe+PQWR4uFF+T8mdIEOKvCQtJPME7bcuJLkdeK19R1r6q2Dhwgpg+utgm16G+qoZUKmDbjvATX71wvlzGDZsOAb07YN6dWvrTmSV0VPA8b4Dh9C+Zz8KNr5YOBvVXqnwDLCtg2rJamuGlqVWeKGM4/ByE/384Spc9X9OQh6fmERLj1pDhhLrrMmtTeaYj8UC7KYyHlMQLWO37STkKtBm2z4Y1htZc+fH+kUzUKJSDfSfOANBYRFayTA5zpslw+R52L+qmdHVIVIkgdKyKoukZz46kE6Oj8P2LxbhzB9HMHTCR8iQKZNWc5vFbltxrXrdbT1+Wzh+GVjhSdOSEvH9d9/is88+Q4b06TH89SHIlT2rFcdtOvb4su/gYbTv0ReJSUn4/JN5qFZJJH8Siwqi2StjuBWgbSs3F0sqc4Ldov29pS/7X5SQn737FGv/uMEANm8jst3SLi/sCV35YS4ma+0JoK3v1Qzidkw2lYq7U7Dr83n4fsUcFKxQDR3emobQ8AjDhtHZ54T4WMwY2h193p6KbLnyyLanlgjjKnR5DVZGcE8Jupm1XPss7CrDqaBek7xeG+eruGfqvVRND3WuEP3FI/bbBPMADhzYj66dOlJyYtnyFaharaoG9EkpySFDhqBkyZLo1aO74SRXwLb2WWW91VKTvDV4JSY8QTYrf+cDv7C0/6qE/F8F2kQyvuGVxoi9fVf/UfnguFzIBNuGjFxltenqz8D2JxcuIU94KBoXyEHBNgPWgslWamyrmcl9fRGTnIJuc9Zgx5FTeKtDI1y8fR9vdG6OvDmz0cRoEmiTCZkCbZYsjYJsCrZJjDevv00HR1XOYxgjdmCbGonMuKdgOzGBxm+TeMXZKzfj8MnzmNm3NYKdTGosYrdp/LbKaMvXJKQkJNHXY7fvY9ulGzj98DHyh4YgfYA/AkhWboeTxyaxSSbE5YNQlwtpXL5IRxM7kblDYb/JbCjVSpYklQDeqOREvHvqNH57GIWhhfLjtdzZcDE2Fj/evovf7keheLpwtC2YC5lJTWwBsAkwVsC2mj1cHNsCCEqctvLeLPVlxWzz4/H4ZvLqyl0c/uUb4n9lISqFhP2bgcQ4CYrOXr2FD77YTCeUSX3bIUv6dJ5gW8Ztc7CthTGocdv2YFvKyXmCtLv3H6Jzt+746KOPkK9AQTx++hQ9unbFzm92YNSbYzFk+CgJOHRZoXew7WlcqftaTIdaLsLMNGsnG/eWQVYA7ssXL2DgwP74dOF8ZM+SyQJlCnBTAZsE3ZrkmDHaMvN4UiLiY6Lx4Wcb8ee5y5jSsxVypA/n4JwAPItRI+/vRD1Gt5kr8fOJi5jaqQH61i5vAD2lDdB/PI0kvSY3V5aYDLfNIkCUHcBW+5Jf/pIIrNIS/ysL8WSTC/MjfZUm31IdI6bDhD8/AbSVzPAy0SR5L2srq2OtJwATiXPYYt03sj6NjUend2di+6+H8U7vdnij+2twkrnAYLtVkE3VT0JhYjq9yHsOssm8QbbfuHMP3Xr0wqrVa2i97dTAtqUKSX0xGW1zu/LiVVouWRHKXgAJ8fHUACpcqCBeHzSQbdeAtifYvnPnLjr1HYjdv+zD9PFvY0CPzt7B9vOw2jYJ8PQYbVO9YIJtm3sVmQWuXCXwv7KQcfHhk1g6B5BFAmgDSKQGts1x2Xpv1tdWGG3OEsokaAq7TV6jo59iZLuGuHrhLNr0G45mPQdTUOYNSHtkNefJNlVgJOJsBegXkmA1nwcMxZOPUtWExmNzmbiPwnDHRD1AWHgafP7RRDTr3AvZc+bi+xoZykUlCy9hSxaA4OBBggY3/jx6FB/P+BihwcEYOngQCpAs44aElZ47v5I7d++hU6/+2P3Lr5g26T2qFFMXW2m4LbhWOvZzsrjPXljD+V+TkBPJ+NJDV/A4LskA2Lw9iRBIxcGj9hOxCEBojom6LFxxMNplG1dAbGJcNFZPHI7T+3ehTrchqN25P1zEjvVgsi07heQUCAwKQroMmRAcHCTbnA6MrbMTjnn1HPVSYp7AWpO7m0DbiNPWwLYHo20tpnNP3jvDOSvPRemv3iTq9+7eQY9uXbHn558xZeqH6Ne/nwb0Sf8fM3oUsmXLhiGDBinOVn5G3kpFKok0NSduqn3EANm875GkaP9mRv5/FWjv6jsa51Z/5fmjhqRBFFNXS0iJJFukJjNhs1mcNgPYBGiT9/B1YPDBo5hdvSxCgwM4o62X/ZIgm7Pc92Li0WbmKpy9eQ8rRnRFvYolsOvP8zhy/ipGdGpmZSDn9bcpi+3y40CbvZdgW62/KnzQ5KEbxoieRIMn1ZCxowRoJ8rav6Su9k8Hfsf7y9fj4z6tUSBjOFIIwKb1tlWgncDBNQPbKYkccCcm0fhssp55+BgP4xIQnZiI2KRkOlCR00h0p+BpQhIeJyTiQVw8bsfE0e0ZA/yRLyQY+YODkScoGEEuH+uZCbDtdCDenYIL0TGYf+Y89t99gCxBAaieJQNq5cqCspnS0kFIk3ULJlsB2xpgFiOC/B2F4baTj4vSXmYiNW7giiRi/i83h0/mPPhfWBKO7UbKrQsaABIzwYlL1zFy7ufo2rAm2tSqxK1eHqttZiJ/bhk5q6ltl4385p276Nq9Jz78cBr69u1D42U+Xb4Cr9aua19f2wvYtt1ulI6xanNzQ1IZ9FMF20qWT1uwTV7hpmB70MCBmDtrBvLlzqkAax6z/TyZrNWM41RpwsI6zly8gjfnfY4y+XPi9Ra14Ud+2GC1yd8nJyZh7OdbMHvLHgxpVBkT2tZmz9g0jFSWWl1UUE1jj8nnlOeI0U4dYMvvnE4E1mwPVzZWduP/evnu++/x+2+/YUC/vpTRNp0j9sCbM91KOTamNFAVBzogIzHWm3YfwO7fTiKFa1SFscGMe9Yaw0ODkT4iDFv2HMatB4+wcvzrqFeprBKvrSRLk+ML74s8j4cE1qazy8nUU8I5S+aOH376Gdt2fIMpUz8gXK6R3EqV4z5bCWcudhJAk71Q3AzSGFWNNGHIkXs5f95cHDp0GPPnzqYZlc3kUCZATk5KwhvvTcLMBYsxrF8vvP/WSCpvtAfbaqiVDautZpj3lnVc80jYyMhtFp88ZeBMQ+Tt//fLk9h4ymhrSgYJtuknA2R7gm09hMdoQ2aMdqoScrYfycb9Xr+OuHbhHJp06YvW/YYrFUoM5to8tgDRkjE3WW/++ykkUSsHT4qDQCwOFWgLwGww2uKzSIh299pFrJw1BY3adUXZSlVp1nLGgnuudhUvdDCjy2/F9lMnTmDmjI+QkJCAoYMGomSJ4p5sG1+Sk5Px5rvjMXPuAgwd2B+T3nubqu+Uq0wVXLNs5Xy7AeT/0qLNR6yx/C9JyL85fQfHbj/RQLYA2uo2E2R7gEIN6FkDoreM4h7vlbYQ/fA+VoztjbtXL6LTuFko+nI1mXXcDmST704f2outy+dh8PuzkTZdOiWMwUaeLh1pYjYy2Ggl3tuOzVb3N4G2OrarzgX1rpjzhTqe0M9iP8NuU4G+fl6e5+TgfeHdt8di7uzZGDzkdUyYOJEpUcU5uN0YN24cwkJDMWL4UGWM52dBSUtDVq6Ebsh+8awJ0wNki5N0whUU9q/1hX8NaN898ic2vdraY7tsTArgFnp/k9mmHkkCuHkyNAK2VaBN3u+Neojjj59gcOnCjM0WjLYA1wRskxqMfr648OAR2sxdh/ikZGwY0xUl8ueiMvJE+KDtpIXYOGWUVW+bZygnwJq8un3Ye2ow8dXKVKtnHbcyVHpKyCXgFmybSNJE2W0GtAnDff3mTfSbshCda1VEs/JFkZLA623T10T6SoG1kJInJlGDn7y6aRI0EscojA/1ifN/FLaMxGenJKfQGt2nHkTh9INHOPvoCQXn+uzHPhJJeN6wEBSICMPFJ9GY88dp1MuVFVOql4Y/iYUXAFupcy2SlWkluQRzq/R6nT1X5ONGqS8BtqkhzI8l2V9hIIdEIKBmp/8kq2BqS8qju4zN1gC2DrgTk5Pw/mebcfn2Pcwc2h1hoSEedbU1ZtubjFwAbBvpuMpsb/1mJzp17oqwsDCs37gRxYqXUJKk6aXgPGpue4Bq7zGBKtBWjUnV++m95JdSS9JOTs7XWzeuo2/fvnh37JuoUK60EufL+5giO6Z9UgBuRWUiamiT+G2ZsDCZ9KcErP/uF3zy1bcY3LI26pctxuO7reMIkDd3y08YvexrtKhYHIsGtKaJelTjRpeCWxODVcaLS8c52GZGduqUZmoAW93mTJMOQY36/Z/3haTkZDyJjkWrFs2wfOlSpIsMt8A0B9ciOZruNBFAW0lsp5Vis57JqYtX8cb8L5EuTQiaVymDGqWKwN/X5XUSPnT6ItqMm4OYuHjUKVccj2PiaN3ecoXzoWrpoihbKB9NrKlXBlD7o5XDg4xLIrSIbHM7RbgRnzP43NGrX3/07t0HJUuX1WJrVQPSBNq66eNtsRhrPIPhVhltT6mhZbT9tOtHzJgxE58uWoj06SJ5HzIcyQYbPXvhYox8ZwJaNWmAJTM/oPOCCpD1fCYKq63Gg3soFJRSXtq8yu+LwmhozLa5+AfDVbjy/7lslvSFR1QybknF1e5uMdr2YFtvN6KGtrKfWcrTnbqEnLxeOX8Wb/Vuj8T4eLw1/zM8iYpCljz5EZY2vS2D7Zlojb0mqQykR1y25z5q/K1Y1AzkPirQVsAzjc2mJb44qOZx1itnTEL5qrVQtjIB3Mq+GsNtSXlFYjQ92ZMOJCymOwWXL13E3NlzcOnyZXTu2B6NGzZgBIM2xrD3c+YvxMg33kKr5k1pqBOJ1TW4VvlRAwBqZ/Uqb3m2+W6BEHN/N50PfIOJhNzbqPHfLLefxmONkIwLBltpL2Z70p1NnvfAZLS9g2qd2Vaf+71rF7H8jZ40D0WvqYuRvWBRz4ziBpNNHME/f70G1Ru1RAhlspmSVOQLEH9rOn3pq3Ku8AK4raRn3oE2u27lWuU2dQ7wnCdMJ506DmlstkaU2ABuVSFlREksmDcXb44ZjeYtWtKs5KQvyPMCYbZHo3CRwujWpbMHptJYbVVNItRW2pXYLV5AtrDHfXz+tb7wrwHtbU274trufdo2O6+NeCgm2LYGUlGj2UqGZgFtIhd3YtRvf+LtCsWRKU2wBrTpa4AffX/2wWO0mLce6UKDsH5kR+TIlJ5nIWdAusOUT7FodG+EhoXxZGlk9YfDjwBsf7gpq+2vGUsMtHBGW33gHtkpbbz3ipTVyoxMspGzmG0qNY55ijfnfo6kxARM7NQY/o4UCrBJ/DYBAILRJq8UaCdxoE0Sm3HwzG68eNpq57aMfGrUk5rBNF6b/a1IjiblmPzvafdRYqkJaN556QZG/HAAFbNmwPxGVRDgr4BtAbLV5GcSZHMwLVujztDptbStrONMHs5Le3EwbtWiZrXOhdTTt0QNuHL839bWTji4lZb00iRidoDb4cCvx85i/NL1WDC6L3Jny6QkSLMB20JGTtlti8FWQbcVK2qBbZIhtW6jpggMDETxl17CqlWraTs2y355Y7bV701jzm3KEc1YPUW+a8qQrERo9tnHtZqoBth++vgxevfqiY7t26F5k4aSAaUMnCwbpdZGVQ14u77Iwzoo6E5C9NMn+GDFBpy8cBVjOjRGyTzZrERcoqpAihubfv0N3Wd8gapF82LVqC46wPOQPgnJGJM5S9m40u9SBQxIDWDTL2VSQbKBhFL45iuN/8vlUXQsHWf27N6F3bt+xPj3xjFwbWSK11QJauy2cILQZ6Ow21xWvnn3Pizd8iPmvN4FmSPTaGDNylFh3c8Tl2+g/hsfI12aUGwaPwg5MqalfSYmPgEHz1zCT0dP48iZS4gIC0Ht8i+hUeXyCE9DnGAKm22Tz4NJxpVwIyEf54qoO/ceolvPXtj4FXHAMUmuyiaYQFuaYqn7XZ65WEaPUBDprIcW76fIyo8fO4ZRI0dizqyZyJc3twG2PZlt8rrx663o0v91VH+lItYumUedF8/HattkO7eVjxtAW3u2qfcdn+xF4UyXA/+Xy5OYOCSSedYwtvVnbrB3ihGstxmd4fNMXKky2fYS8gunT2JE5xZIE5EW4xZ+gbSZs+Hgru9w+fwZNO7SxzvANlhyCoqS2auayTzFBjipEnLyXlwv1LlBKfPlowJmIicnIFt59ePfJcVGY+38D5G/yEuo2/w1+Tei7rbKjNsBBr3skw60LXm5G08eP8IXn3+BHTt2oHDhQmjZvDkqlC/HVBzKxZB+3q1nb1SrUhmrv/wcAQGsxrDnogJt/tlqGd6B9jPMeB1sa60LroDgfz0Z1LOWr0/ewtWoWKquULOMy7aVkkLbjHDwiz4jQh68LRqQTgVg67aIA3cvncWi4Z0QEh6Jnh8sQbrMWSVjbZ8RHNi+YgH8AwLQuGNP2sZIm5NZ8xU2mzUNi1k2c3OYDlEqbVZYY5NZ9gq05Xsd7Gr3R9c4KOOH0RfV4yrhFWpCQbu+Y8dub/5qE3r36I4qVati5arVCAxgbY98TwjCPr16oUWLFmjYoL6lbnJ7Y7XZZx1oe1+8gWzxyvqC//8fQPvaD3uwvWVP3XdmJPiwQLYhz+Fgmw6oDjYoklhtpxqr7e/SAPeRx4/wx+PH6F+qIFwiKRoH2q4AP5yLeoJWn25G5vAQbBzWHhki01gZyDnQHrpoPYa1a4Sc2bJwNpuA7AC6kjqc1EBy+QM+fjaMtgW09djslGd46y3AzZICCSOSAW0QdjshHtt+3o/Za7djeu9WKJApkgJtAsaZXJyx2UwyTjKNMxklA8oizkHcdEViqmQ0FlJVFqPNMvpKsM5GMvYMaTO1XFRMxs1A769Xb6Pnpl2omD0TFrWuiUA/P5syXKrMW8kuLs+P/5OKdFzEL6vv1TrUKsima2AIAqq1Ywbw/8GSfPcqEg5ts67TANkegNvpxJU7D9BrykJ8NKQriuXLZZX88iojd9kAbDVW1ALbx0+fQ92mrZA5cyZs3bwZq9aspUbZgIEDkeJ22JR8MeuycoabS/4sdtve+FLLh8lJknvbHDbMtloP1ay1bZZn0WXkBHMl4O2xY5GcnIQJ776N0KBAmfCMsdpeaqMqJaQsQCfkyQxoC9B95fotCrijnjzFyLYNUDxXFqvUFAd1P/5+Ei0nfoIqBGyP7oYAPw62VeZa884KYC2AtpCPezOulMVDNk432srJHYGhCGzU//8sGRSRyBIGT8j+27Rsjs8/+wyhwUG0nJdDAm2eRd5GTs7k/SSnBX8ulM1mrwePncGU5Ruw8t0BlK2SMfVKvLY1OQMnrtxE/bdmI1NkGmwd3x/pwkKtPikcqHw8ufsoGjsPH8PXv/5Opaxta1dG46rlaZwjBdwukcvDyOlBwTaTjwtVFIvXdmH2/EWITJsObdq21WK11czNfOiVMXzqHGq3PO9sbsoJ7QC3KaG9dfMGevfqhXfeHosK5cqmLiPn3/24+2c069QT1V6ugLWfErDtmyqrbTdvajH3/L0Vj688V+NGpCojF7W1ybj4f7AkJiXjaVw8fW8BaIXZUhklL2DbUzKuqCEUg9kcny2QbY3V50+fxLCOLRCZISPeX7oGoWnS0u1EIj1tZD8Mm/6JR71teSyZuIptJ4CIJNi0WEg1BlyXAqvMNgttM6pUKMwhTWimsNoMYDvh63JQgM2ANpeTC9bb4cDGxTNRu2lrZMuRk+3PY7tlvLchG9fnJE/Gzgp1Uv7G7cbx48ewceMGGmoRER6OlytWQPny5VAgf36Ehobixx93oUXrNqhKwPbKLxHAAYa+cNk4d05bUnPDoSQWxbHkdbGTnctjscnYLzTi/4zVvv4oFttP37GSn0lVnRGKIKXjXL2hqiHkNelLaqDaZIxFW7tz6RwWDeuINOkyos9HyxEWkVbJUq+q8Cz7Y+eXn9L726Rzb+bsIW3RcBCpsdXq8qzEbmQxk555OA9snKbSnWow+ybaVn9bzb1jnQ9rI7oK2XtfsE2UBn2OIU7211q3QuUqVSjYJn1BfEcUBO3bt6fsdrmypbV5wCur/TwTn+bBsHh0OdeTo5OQ0+Cwf7wv/ONAmxxuc82WuPv7Cc0o8Aa01RhtdYJ38fq5NIGFKPnl4oy2TIhGQDVjugce/B0LapaHfyBjs12U1fbDucdP0faL7cgUFoJ1A1ojQ2SYlYWcgEEOtN9Ythk9m7yK/HlyWiDbnwDtQAawOdB281htajRxQ4zGamsB+2YyNKNsidiugm2efZey2hJsJwCJQkp+C4OnL0bV4vnRt14lOElCoEQWm83k4mwlYJvFj3KmWnva7B/RhuSEzsE0k6wyJtxitlnJEZ1dE2yIXpbrl0s30HXlTrySOwuWdKyPAC4j9wDXIi6bZxvXTlCw7komYCkhl9JNwXQbAFvI+Pl28feuAuXhyv3fJ8Ah9y3+1/VwP76n3TOvgFu5hruPnqLrpPk0SVqpQvnswTZl0NTkaDblvhQJ+Ykz51CneVtkzpQJ275aj3TpMyAFTnTu1gODBg9mNbaFpNCGvbCkhjZSciVmW7IkqldaYb/NEcdiDhSpoEfiGgVke5GRC/nfrh9+wIfTPsTYMaNRtdIrvA+K+GzRHw3ALWXlFjsqVSYU3Im+yWTLl67doKAuPiEBb3ZojLykVJsCAH787QRajl+AKsXyYc2bPeFHZeS6TFaCAQVE0D4oGbwXYLRFmxJtTNFsqeCbKDz8CptZcP/9hVzTncex9JU+V4cDX3+1CbduXMPA/v3gpGwmB9daXXRDTs4rNVhAm9U8T4qPR4OhE7Hq3YEIDw6wEqVpyeusyfnE5Vuo/+48ynpveacP0oUFKfdQNEiRP0KMM2Qs8sH9p7FY9s0v+OG3E+jdrDaaVqsAJ5kzeE4PEX4kQo1Ybg82Z9CVzCVOF+KT3WjaohVWr1mLwOBgRSWiZ3Rm86ZSNs+mD9m1kNRmdtMoM40hXa5o9VGiHOnRowd69eiGenVq28vIDbD84+49aNapBwXb65bM4zJyG1bby9/bAm2V0dAcUs/PbDuzFIBPxrz4rxdy7k9j4zQGV9pGQuWiAWwdjJufLUbbAmh2mcg9xmcOks+dPokhHZojbYaMmLp0LUIiIjVZOQPNKXRu8nC6qtmhVdk4Z7RVObn5XgBys4yTaOsqi6bW1xZScQtsO+DrYmy2ANxsH/b9w5tX8cmE0eg0eBSKly6vsNoMlJt5QTzIHy+A25PJs8Bs1MOHOLB/Pw4ePIhz587haXQ07U90+8GDNPFT82bN4OfnR8mMhw8fIioqCjGxsR5tJV3atKherRpat24FP9J3ROPQ3nhzyOr9wVNGzv7OJyAQLn8+Bv6HC7m+badu4050ghLXbwBto/1oCjklD4BymXKxA9e2WbI5MCQge+FQBrL7fbwCYRGR9Dv5rJXcMeQzKd916PutaNihB/xcLk2JS9qomvFedWIqLjUdZGsONutidJbYzJzume0bqYBtz2dgsep6/gX9PIQKygNkG9n77aTkDsMp4DTANkkOKmXkDuDxo0do+9pr+GzFcqRPly51VtvD0Wp2BE+MoTPZ9Kq4OtkBl18AXP8wq/2PA+2LG7dhV49h+uD/DKAtJ3aF4RbxM8KLSUE2kWIo8dki+zhJcrbq2jXkDA/Bq7mzMKDt74s7CYloueobhAcGYG2vphJkEwBOQLaTvxKg/daKLWhftyqKFcwHh58/LYdDS+KQElG+AQqjLWK0GdA+c/YcTpw6icIFCyFv3jxwEeCjGQuq8aCDbbldxIyqslVq1BOgzZOkEcCdEI9lm7/Duh/24r1OjVEyV2ZWi5uuLKETK3XDveN2T1a2OQVwK3GhFFhzRlwCbmH0897HBgTmcmYDlMU87zl/DR2Xfo0GxfNiQaeGrL62lsxMAGVLgq6dngIaVCAtwLWQkluMkwWoVSZKgHL62dcfvi+3gM9/XOIo6cY5JP7+rXp1yosuGbcD3A+exqDDe3MwZ2Qv5MuexRNsq3XeRfZjLis3k6Ndu3UHVRq2QkREOL7ZtBZp02WQ30c9eoy2HTphzdp1msFvsdM2r8KbrABswcYl2yTEMRPoaEILRdKlgmoh7zOZbW/ZyMXAT6axp08eY8J77+HOnTsY2L8vXq5Q3jM+W0jJ1c9m8q0UwwHG44MFm3rqwmVMWroeIYF+6N+sNopyhpuyeUdOoPm7c9Dk5RJYOrwLHddssyZrydUsdtvqx16GaBkKokweHttVxQjpCwEsVvs/lgo+jU/Eg6fx0nlCGWd3Clo2bYzNX33FQoREqS8JtFXAncheJdBmCetEArt13/6MO/cfom+TGlZyO1kKTIQMsPt77d5D1Bg7FxEhQdj6Vg+kCw22ZiajL8o+qjrveJ+KSUzCwq27qbx81rAeyE36KHF+cectS6Kp5Pagrxxo83lk+7c/4OChw3hj7FtKCIZqSLI+JsZdAaboJuX+mkaR/N5b05FNRWca1My7akygZTixjOQD+vXDqzVroGP7th4ycrtSYARsN+3YHU3r1caKOdNkgrRUWW2TMZdAW6lVrzEaNgaXOxWw7eOCq0j1/1zhQco+xcQliDNkrwaDLQC3J9j2IiE39vNWIUIFMuT9zRvX0btFXYSmicD0FespyNaTpQG/fLMF0dFPUK1JG4+4bslGC8k4XTmbnayXaDJZbJX11oAUlwir06Uary1y9wiwTdlDHwf8CNh2+ehycs5uE/uJVHU5e/QwXqlZB/4k349Rc9tl1CrW5ePWHKMCCTOTtJrjQLyKa6DPPjERmzdvRs+ePVG9enWaAMrlciEiIgLh4eE0nEuO3fzv7969iy1btmDdurWoWaMmDZEiuVUsEC1alg27beN8Yg4usd1qeJTV/o9zeFx5GIM9lx7I9qMqLcQ4qDpyVGWEqf6RihDl8p8JrpXx7tHdm5jTvzWCQsMxcNbnlMnWnS1qPL8Dl04exepZk9Hn7SnInjsfd+woNd99dOLAis3WHoeH89SO4TadodY2pYqEDXNtgm25GIDeTvUi9rED/HpJVsPxZABvhyklV+YUArbbtGqJRo2bYMnSpbSagNjvjz+OYtKkSVj15Re8xJoNqy3HfC+eFnE37Kh8QcwJFYmc953wDwr5R1ntfxRopyQl4auXG+LRhSva4J/yHEBbDFKafFwY1HxgpUBbKe+lvr+ZlIAvL13F2xWLwyfAF8Qv2O6rXYhOTMKmHk2QNW24XuqLJEjz9+dA2x+tJn2CVeNfh39ICKu/TIF2EH2FywLaxDhKcbrw/a6f8cmnSxARGYly5crhzOnTOH/hAp0Qunftgjq1anFJkWe8GY2GNWRxgtW2kv4k2rDbxLiMx63bd/HOopW0Nt2QpjVQLEdGLTHQ8z15xQhX4kMliy3k5xxoywRNmpFjHUqNpf766Fl0//QrDKxVAeNbvyrZaE0Kbp6DPJY6U5lAmoNnjbWz2CYdvLJ9n8TG4eM1O5C3WCn0GD0O/9VC7lf8TyvhjiGljOgZKxfJ/5FspDoKic/suq/di0LvDz7BuskjEUyk0D420nEFdOusNnsf9TQG1Zt3wJMnT/HTto3IkiWLR/K0HTu/w979B/DOu+8qjLY+8LIJ0E5KrsgViYPBjL9TQLpH1lAx8PJLZx5SHWibYFvGc5tychvP6o1r1zBv3lycPHmCxm83bdQQfr4uCQ6opNyUkatlwDjwZsm3GKMt5eRK9uvj5y9hwYaduHbnHrrWq4oGFUvQ89q4+yA6TFqI11vUwqTuzTX2T0vqpJQMYzeTMa+6w8zGU6uCau0rz74l2pZvoQrwe6k6/quFXMPlB9H0lT1P9pzI+48+nEqdIDWrV2MZyLmCwCGAtZSRi898LBRAmzPbPSbMwoQerWieDs8kaSKW3o1HT2NQe9xCGh/7/bheyBweqo9nvB+qtcml805NuEiVOSxs48rdhxg4+wv0b1kPDauUo449keODgmwKuv01VptJyP3oXNKoWQusXrMGfgFBnk4pkeDKSCaoG2fK3GoD2OwW3VizcXpr2WVNloIlcxgxYgTy5clNHVn2YFuf90jMdrteAzG0bw9MeWukF1bbZLR1Jlvd1+obqYFt7qRQGG51cWbIDZ+shfBfLeQ8omPjkUL6ujh19cw0dtsOaNuw2MK+UoG2jYRcZbNJ+yJl9nq1aoDoJ08wf912RGTIqMnJBeA+f+o4ft62CW0Hv2Ex0sprkgqeTUk4Ads8w7j5HYlPT6LfW/uIc1SdsQJoCwm5iM+WWccFo+1ywt/F5eQcfJuA+6eNK/Hnvt3o//ZkpE+fQUusZsnIzQzPdjJZ+216pnIdGImFfNy0aRM6deyAIUNex8RJk+wbiwGcCPO9detWLFu2DDmyZ0Of3r1RuHBhtXXZAw1D8WEPtN00TtsVGIL/aiHPvG2fwajdridCItN5KOHUuH7NwaMm2VPbvqIGEYuGMWzAtXgfF/0Ecwe+hrjopxi+cD3CM2T0bAcEMBJzMyUFJw/+gpz5CiIkLAyhIaF6Qj7BaithcGp8tXws6uMxCEmxXYQMUVvRY9wWMJpvM5w6JthWF6maMcYH1dFhno84ipTNS6Cth/KpGdh91NwfDtWha/UtErNNam0P5n1BnZMWL16MR1FRGDFsqBdWm985L+O7dkc8OiKXi2uKQDbf+xByjuTn+oeWfzRw9dxn6/D04hUekM/LlpCbSR6g8Ejw5YV8BfTmsuOJ5F3mmiUgANeiY+j7+MRkDPh+P249jcG6DvWRMSRIk5rJCZqfz9O4BPj6+sKPZIMkxhONs7NiXwkQEfWIyfuZc+dTKffMmTORPmNGDhbYcv/efSxdugQzZs1B+7Zt0b5ta7gIy0GNAyIxJ+wV6a28wfAyJkR+7kgh6TU4ALNcERaA5IZepsyZsWjsQJy7fA0zVm3B7QePUKlIXhTJkRGFs2VEcIC/bNhxCUmISUhAdFwC9aJHx5P3rKQIWROTkxES4I80wYGICA5AznQRCAsNtphsAbq5BFPI0j2MGoXZbv7yS7gdHYcxK79B9oyR6Fv3FUv6LZhs/jcei5EcTMZJCu+TyuAp7K/aScggsefPs/jyu19x++Fj9G1aC3UrFoA7PoY5T/6DJfnqCbijH6kuLfHG2iaSA1J2T3wnNHOsnWZLH4GR7Rtj8EefYvGb/em9oZHy5I9I53Ik88EimQ+87DPdz52ChPgktOk5kLbXXV+tQtaM6Tmr6pDt0eF2UBno0mXLcfnSJeTImYt7+LihwGtgO2ib9ey7jEN+fn+d8JKq8acqVKTqXvqBvGGOFboreUu/44MK2YkcxMl+3yeF3Ae3YgS5kTFLVkyYOIkmrVm1aiWatnoNFcuXR4/uXZAtcyZ+D4SBn8yk9vReJsPtJIDPyUCbbIsiEZ0VM0zWogXzY/boPFQdsPTr79HojeloXqUsOtauhA/7tcWIeSuRLUNa9G9SQzLWopwR/Uyem5u1ZfqZlwyUJY94e/FYzNlV/WCy2fy7pPNH4MpfBs7A/6aG6v2YBMQkJlPDg50BGQPYZN6mTVt8MOV91KhenYNbqy+TCdDyKhuSL8254MbtB1HIHBnG1D0ik7wA2dR5mYz4+AS0n/4Zbtx/hG/GdqfzAqnUwMY13ZxghzeZbTUZI3FuJVG5eI7IUKx9py/GLN6AP89fxpiurTSQIMYoGmJE2paTn5szmYhi0bJ5M2zauBGvteug9QM5LBiLNXXZZ4hVmQoP0ks5tucsw/o52ZfMRORYQubInGL8Pd3uxLTp0zF+3DhMnDwVY8eMYvGkSv5Ndh2iD6egeeMGmD7hLQx7awKtez+ge0cuEXZrz9ftNs6Mjp3UXFOOx+ZOdo2KBSt2NbwMrB2Ra9Lvasrdy3Cmz/WfKTySSCUPfp/pmfAxVZ62uFz6no298nrkK1F/MNvKuhT+h+J2EHuJj6vimMLgJTuR2OvRfbrg7s0bWLBuG9JnysyYZIch23YDmbLlQK5CLKGoSpaYjh/LxFKToOkhRhJoa5Jx5b1i6KtOCGcKGdeZEzaZrHR/J1J8yPGdmjnCfJXkOkgrJputdlOteTvkKVICjx4/xu3r11C4REmkOJ1I4ceVYUt8/pBgi/vyqT0rwQSba8j9VeccZvM62PTsIGO4yjayf5s0bUZrCo8eNQJZsmZD3379rMcoHqmBcMjY07hxYzRu3AjHjh3D3PkLcP/+fbw5ZgyKFy9m/XFqHrZUluT4WKr6+6/yFlx7FIfK9Ztj7tjB6DNuGiIyZqHthJo23MwUK7mH9AlyLMHaFccEokQiff4mccNfbcC1eJ+clIjlb/dH1N1bGLZgsu5F0QABAABJREFULSIzZjJUChbgfnjrOpZNGYvK9ZogY+YaVoI+DWTrifYEOaADXgVQK6/WGEsSxgqWVb9vdiDbbpHNgNuTYqPZf9XwPll+zwvQJgtzLrH7T8A2s7m4HJ68ctuMEnP8voGPeUIvkUL+hvQR3hcmT/0AY0aNRNas2WidbfGjPbp3p6FK+w4cQMXy5awzVwc2c/w3Fw1nmKBa3ceyK0ibIEqTf0rh8Y8x2kmxcdhSri6e3rqjTf6iRJCacVg7gedhtGktRR5P48dZbT/PWO1xf57E6DKFsfD0Raw9cwlLm1VHpTxZWXkvf7Xkl59cnf7+2PHnBZy/E4XB7ZvCGRBkMdlEMk7YbRqbzdajx09h6vSPsHzF56xRaUYFvyYqEUrAiuXL8NWmr9CrZw80a9KYGTLCI69KHtTYUSXDrmB3BLtNS4FxqbhIzkQYtvsPHuK30xdw7MIVnLp8HbGkrjbtMCkI9PdDUIA/Bd/Bgf70fUhgAPx9fWkMNZG6P42Npazng0dPcPHmXTyOZrGU2dOF46XcWVEyd1YUyZaBxj/pYFthGFSjlDfYMZ9vxfztv2LLO71pbLkGou2bo8XQyf10WbhnTDcbdC/cuod9J85j99HTuHk/ChWL5UP72pWRJ2tGuZ8zcz74FiiPf3shLGfcD58B8TG216fPpt6YbZXNd+L9z79C/uxZ0KY2qbOtZh1XMpETh45Saoh8HvLeh1j0xVrs+OJTVKlU0b7WNk+cdurMOUz7+GMsXEQS3zgsGTg3ftQ6qWbstpQnpsZoK5JDsv9P279CfHwcMmbNge82rkbZKjVRtV5jKh9yivwMSixdajJyezmfKoe1wMSen3/G0qVL6fu+vXujYvmyFFhoCdG0+ttWvLCQkovtUr7MlSgC1CUmxGPd93vx+Y6fUDJfTtx/9ATLd+zG9qkjUPWlArpEXGYtN5QuYrzUJLJ6c0p9sdqbKYNy5SkBv9J18G8vpA38cSOKPh9iiJAEMcIgYXGSQMfX2mDBgvnIkDbCYK/JK1st6bhgsllIDVH5XL5K4uXXYs6QzmTgVaT9ambyZIxYvgVLfjiEjcM7oFKBHHrSOZl8jt85xf2ujkcy/IUmd3TBSSZjEptNE2j64v1V2xEYGIQRnZozZtvPSqqp5fpQWG3i6G3fuSvWb9yk9BWVZVCk5ArToTGgyvxqx5Cai8oa2CfT8ZZ1WWe2Sd+a8fFHuHPnNqZMmsD6kS2zbc0Vo96egNmLl+Gb1ctQ7eVyqec2EcdSWeu/wWwzsC3vDl2cabPDJwcBKv/uQs4zNi7OxjFixN//VWbbRgWhxmqruTQmvzUa6z5fijmfb0CJCq8YTLUVey22/3FgLwqWqahJwZPMeGu6MpaargqAFux2ovyeycYZo20vIVfviQQ81M9Fxn814zh7TxhtymS7lFV85vtIWa/TgW2fL8Kp3w6g/9j3qUPWUzmlzjG6rNxWMustEZTCcotFmAEkj8j8efOwectWmoVZfGuaCd5Yy6tXr1J5rb+fHz6YOoUnWFMZ6+dhtK0+4/QNgG8wkaX/uwt5xrsv3KMO2HiS0NcNzHtvFBp26k3LyWnKCqM8nVouzk4+7m2K9Aa0N8wYjz2bvsSgmStQqExFJW+UGhbgxvXzp+nnoOBgZM2RW1NCsOR6igKPK7bUNmEu+vjs2cflPoqUXFyHeW1su+c12/6mMe7o9p2X5LXKDZXzgBK6J2w1y1GlZiSHkkTOmFsUZpv0hQXz5+HrLdtQtVpVORcRRrt9u3bYuH4dAgL8DFZbbdvmVdq0AsNxb2UhVwA4d/ZHx8Qibdq0+J8C2hc+X4eDQ9+hfJpa01FmJlYbkXoCyqQvG7f0mngCbZp9nIJs8sqzj3PAvfDCRYT4+2LWsbN4+5US6Fy6oFVHm5T5Uutq07Jf/nAGBKD77NWY3K89smbLCkdAsA60aXw2M5KS4IOmrV/Dok8WI33GTB5sgjU4WoZLbEw0Fsyfj5927ULfvn3QsF4dxWOplkRRpKyifqxNYiBZQ5YmZbKSAVnlT4zHaccCmZ1eM+RFWa9kXL55G0fPXMSR0xdx/OI1JCQmIlNEGIrlzIJiOTOjcPaMSB8aZA3c2uzgoBNtk/cW4uTVW/h1xmhkSRtuMFHwfq7S2OUephQ37kQ9xo0Hj3Dl9j1cuHkXF2/cxfV7D2mHzpU5AyoWyYcqJQohc7oI/VrlcX3gV7Epk3T+i0vSlRNI/ONHT0PP1slgOhGUZ6XEhcYlJqLZGx9h6/SxNLO+ln1ckbHK+to+Lqza+h06vv4WZk14E/26tPcE2AJ0O8Q2J9p26Iy58+YhDYnVUwZgGXdtF6ctJkLe502gbWWmtSZPUkpmxYwpGDNjMXUIPX38CLu3rEfdNh1x++pl5C9STEskYicjF/KlZyXi8DR+yBjjxvVrV7FgwQIcO/YnOrRrixZNmzBZuYjjVqTjel1nJTs5T47GyoLx2OBknU3d9+dpzF23Hbt/P0GzDR9cNAFZ0orSUzxjObUsGNulJXrSAIY5erIltRHcTJQmFx8XAuv3YXko/sXlalQMLtyPQaA0fEmGYJ6oiIPu3w8dxMovPsPcWTNlqS/mZOQgWwBuer85wCaORlKZITEBu/YfwZGT5zCkRS0uK7eckDRvRVIS1uz5HT0WbMCH7euiR7VSenZ3LSxGvXcq0ObvyRwkKii4LKBNS0XSeGwXBs9fgwavlEGjahVlQk3ySoE2rWDBATeN1/anaqkhI0ahV59+KFCokJV40MPo8QawdLCmGWmKIacvnpnGtVhGMSdrCdHsssuydeGC+Th39iymfzDFO9jm25ITE9CwbRdaZnD/jvXIkjGDR1y3nfTcA2zz8AoLbNv1F2Xhnz2ykTuccBWrwZ7fv7gkJSXROVQ3op8PbHsmQfPc7lnSy/zMfmPLxnUYM6Anxkz8EC0799DHeWPcFmP+hAGdMXrmMja2q3JxJQGaCp4l4Bay8WRlHw1w2wNtKh9XiBmtrJDM5kwyjnOQTbOPW0Db3wTa5DulBrco8XX7ynmkJMRTgJozb34WnqiAJAtw6+ykB9Am2z2y9etAQq3tLEwSUpK1ZbMmOHXyJHbt+RVZMmdm1yscpHaA2waA79i+HWvWrsGSxYulekNXQnkB2mafgRt+adL/67HaNx7F4sSdJ7QLizZ089oVfDF7Kmo0a4f8JcpSW0bYGlotdqVda4DwWXOh4vgQ7w/v3Iyl415H2xHjUbN1Z0siroTPXDr5B9bPm4bSVWqiUYceivNft0ss+8RK5qom1jMX0xFqN5bT7cZ44ZWmepbj3RhP1Aoxzw20jXlBZlVXKsaIXAeegNuh5+Iy+khKstUXfv7lVxriKJ7T9m3bsOvHH/Hh1Mlam7XAtpcLtrtjXBVq3TRDLcdVBd179MSKFSuo2vl/Bmh/X6sVHvxxwvKgKkmSzBht05ixGG0LZMsBjNiEvB4dAdukxJfTVwBtNTGaC/POXcDKi1dRO0dmfFizLFyBfnAJNpsCawawyTZngD98AgPwMD4Fgxetx6pJwyjApkA7IMhKgkaBNivvNW32AmTIlAnt2nUAEf2ZQJteD/9HdSCQVwIkiFH/yy+/oGf37mjUsD5LnCYbjJL9WMaIinhFzqQpJW6EYa/V8rXz4oubrHpuxEnKRWXLlBhRETMqGbdk3Lx7H8fOXabs+YmL13Av6jF9thEhwciSLg2yRIYjbZoQKi0kP/fgSQzeWbYRaYKD0LJaWSpfJ3HTScnJCAsKRFhwIM3WSD4TGXtcfCL9nqwpZIQV99PhQIaIMGROG4HsGdIiT5YMdCXg3UnvowpkjWtUvFiu3C/BJ5sa1/TPL3G7V8P9+K6NbWszEhrgWoJtLfkbe529/htkTh+J1q9WUhKicXZbYbHJ++MXruDlVj3RrE4NLJvxPgPgSskvNYZbrbO9Zv1GPH4ajW7deygMtmKEKTHaEgykPANoa4Ab9Dnfvn4Vvv6BCE+XXrI2ZCFM8KcfjKODW+9R4+BPEhtKZptMalaSRM+4bBvALQCEXQwdH25jop9i5cqVNG6uScMG6N61M1WCWLHaXkC2rLtN+qlag5v3SQm4WTKug8fPoO7gCRTMf/nuQFQvWVj2ecaEezJ3ttmV1cVg5+wXT/kZ2eBbrAp8Cwg51r+z7Dx9G4kpbgT5+iDA5aQrNYKdHHBz0D1iyCB07doZ5UuXgpOPfY7kBB1o85wVMhkaB9pfbPkOLrjRqkppznKzfZj6JwknLt1AjfcWo2GpAljQpaEFrkV4jAhB4vfYjtmWlRBIuUKaG8HJQLYvAds+NCZblItMdDjx2qRPMGVARxQpkJcl1qRlIlmpSAG2WVI0th758zhWrVmHSZOnyBwJWvIfyVJahpgE295AGLesvLUOa+41QLcZZ6rMxamB7cWLFuHkieP4aNoHdH8LbHuW1Lt75w4q1GmCnNmy4tu1y42s/MLprJTD1IC0oajSwLaZbPA5gPZ/lIH86dOncq5SjWfL4BbnZ4JwXcXgzcFiAmo7Vvvs6RNoW/9V1KjfEBNnLJTtyjZz+PMAbZXJNkA2icFO9gDeDGwnGtuSjcRoKQbQhppDgIBaJVZb1tA2GG0Rr60y2lZGch0gbV46F1fPnkSvMeORLkMGDhZMgG2ydV6AhAbWdKevZh/ybXfv3kGNKpWQI0dObN66XWYWF/3xWQy3eE9ykcTGxmLEsGGi9Rj9hm2TChLZEPX9fAKD4Qr4d2O1j1x7iCfxyR7tjtkPKfh8xmQa7tWwcx+kz5ZTgj5PdlvpA0ofsRv3hFJH3LObF89gSvdmKFW9Lnq+N4M+YxX43bp0HvdvXkVkuoxIlykzLcWog2wVbCt2iZaZ3HrW5iLsHn0MsO/r8lGJa+H/2IFg80d0IK9UiJEkilJWzVAOiHnGOpYSTqFViNHzHKj3w5lKCTATbN+/dwfVK1dCjpw5sXXbDtoXBPQdNmwoGtZvgNq1aurtVkJj9caqb3Sq/5kg2+HA7Nlz4OPjg8GDB//vAO0Hh49id8P2HsyWlpHYeNDyBNQB1JCPaw+TgGySmZaAbAq2dQl5iq8TLffso8f6uml1hAYHUPCtgmv6SgA3B9k+gYGY980+5MyWGU1frUJl46BAOxigUj8CtAn74I+rt+/h9VFvYOXKVUihZS6U+dzo0prnUpEQkdcnjx9jxYrl+GbHDjRu0hhdOnVCUGCANDJkUjRNsurJrLHPhiyPLKkCbdHITLDtzcMpDBoGAoQsVspcOYggYOLh4ye4cfc+btx5gHuPnsjnTJwJRMo9dtFqdGtQDaM7NmXPhiQqi4nD4+gYGivu6+ND9yWlX9KEBFJ5O3NEmHoru0WVfehTkT7wOICAEPiWqf+v1YxMeXgL8XvWed/Bw8nhBWwLCYvCasfEJ6Dtu7OwedobWvZjKSHnrHZCcgoqtOlDH+GvG5YhOCREAdgMcJvJ0MTn2LgEdOrWA2vWrLWYbK2Mi54QzQ4MaElvPCZSN2a8MxKtew1C+izZ7ZMkOhzY//12FC5ZFgF+fgiPjNBk5Org7jmQ68DaDnDrfdJiHAj7uX79eqxYvhwtWzRHt84dZT1m6exyG4BblKBSpOWC1bak5KLOdjL2/XEKrw54B2UK5kGmtOEY27kZiufKavUr0/CRZb70iUUumhGVWpvz3OgIToOA2t3+tb5w60kcxs9Ziif3bqJtz/4I9PWhzDZ59ecsFGW4nQ48engPvbt3xfo1qxHs78tZ7QQ4CHBWmG1aicEA2h8sWY1XiubDy4VyseoMInFkYgJiY+NQ7Z2FtN3tHNkRQS4XK4GoAG0BvIV8XLDb8t6J6gpcMk6BtosBbTIf0VdSLpIkQKNlI/1x80kc+s38HJunvwmnqGBB5hIOuHVWm7z6o3Hzlli9di1NxKKGbOiJ0UxglTq7/SygrVyiIekz+ost2PYE3MuWLsGfR//Ax9M/4My2qFEvEg9aYHr/gUOo2bwdRg7ohfdGDvaQmWsst8lm24BqK6O/CsyfD2gTxzqtq/1v9YVbt9CuXTuaQK5GzZrq6dgwV89mr1Pbrmcctz7HxcejVd3qdP/Pt3wH/0CSfM8K6bEF2ZxxvHzuDDLnyqcx2OSVMtOS0Val4ynUwabLxD3ZbJX5thKjsXmCPXLDthKSXz7+S+DMGW3qvKMg28cC2GK7rLvNamlLoMQlv9fOHEfc06fIXbAQIiPTGkmd1IRPOmupJ1DT1VMmoNCcWkofPHRgPxrXr4shQ4fjzbffMQC5tGZsAbf4ntyrvn37okuXzqj0Mi/hqDqnTKCtzSnKgOF0wi8s3b/WF57GJ+HPm4+VpHuKA18JLzt38k9cu3gembLnwYO7t1DsZVb3XmW57cY8tR9pbUe594mJ8ZjUpQk9xjvLvkJgUDB7FvwerJ45CU8fRaF5j4HInjuvZnsIcK22IT3UwBovVfbcXHRwrROR5nXJ/W2W50FwKotNjqmTJ56KQ2p2qPeU/xB5NbOwiz5gx/B7zUzu8A62SV8gyt+hw4bj7Xfelc8sLiYarVq3wieLFiFblsw68WBzE1SlrQTX/BsPIo4+IGJrA3v37cf8+fOxdNkymlslMMD/b/eFf0Qfcnn5au5ltG4+HZRorLXS+PhD8jFXHpNtB7LlACVBiLhB+oV/cv4i7sXHo1fhPNSYUhfLYcEScbH4OgIsnNhx+AQavFKa10AVSdAsto+ygA4nVq5Zj969etNBSNrA1MhR5bMqE6Fm7hTbgZCwNBgwaDA2frUZ4eGRaNehI4aOGIk/j5+0gBAFP2QVpcRE7W5em5Wu/pRtp4YbYd/9OAsvZO9yDbK2+QUpZcuCjO9ZbDqTzjNngyMgBI5A9koAqiNQrKHK+xA4A0MQmSEjihUphDpVX0b7xrXRoXFtdGxcG20b1MTQTs0xtlsrLN3+E+48iUFERCTC0oQja+ZMKJwvN0oWzo+i+fOgYJ6cyJUtCyLCIyjbSaR8pPQKlWbyBHX2K2N0aYIinhVYxFLKrOQiyVJCDNxRt/BvLUmX/kx9BzmC2niVBQ+lWcnWGuTvj8iwUNx7+Ng4jh7b+96cpTh98Qo+mz4OwdKJoygnxG8Zf0tkOIGBAUhJTkYyz14vDQJlopJ9SixexiDdk8renz3+Bz1OBg6yVaZOeqxT3Chfsx78A4Px/rA+OPjzLmnMUePNbnWLlTkF2HYo31vvmfHImHpqOPK+Sfp/6zavYdPmzXS/5m3a4vjps3D7uDz7oeyP/L1SyolKUHl5J1bmidVWJmvFkkXwZtdWOHT6Ajo3qIG5G79Fv4+X4WbUU16D2WrXslyb1r7Vdm45YkSiRGs1wkWkg82KQXLHPkHK7Uv4t5YDVx6iQKXaePI0Gp/Nm4nohGTEJKYgNjEZcUkp1CFEmC3yTMMj02HAoCF4fdhwphbiycOYE0jpvzbhF7ceRCFjRJgH6CLg+f0NP+LsrftY1LUxgnx8kJKYpK3JCUlIITGCCeR9IpLjyZrAXxORHEdW8Zm/JohXvg/9+0SkUHBPXhOROSwIrxTJi60/H7DyanAHDHHQyOz2Cgh99dWa+OmnXTwp2bP7k10MrkfyqdRWpXaxur+qVpHx4rzfqIoWu7Vbt+7Imy8fJr4/hSd/8/Ecg3mbrFiuDN4cOgAfzFmEQ0ePebRXUddUa8MqslC/1xyYqoLrOZeEWKZC+peWyMgIrFmzGtu3b8eA/v1pzWQNcGn+cCNJXaqx9DavNmCOrHOmTcal82fxwbxPEEyAhfE9+13uVFLuN3l34Mdv2IXYEUf8g8UsKgBIZoTWky3JtqqBeiuBGnF2iTJfdBtftcRpKninYwlnysnnpBS60jGGvPL38rMy9rDs5ynIlr8ojUP/Ys40bFi2CAlEZcedBcKhwJh4z9U6J7W0pdVfkm2VYVa/KVO+AoaNGo0ZH03D4UOHbWqjCweMxd6aC3luJF572ofTrO9lF3iBvpCSjBTixPyXlnvR8R6xzSKUSDhNyHcFihRH9QbNkDFLFly/cAbThnSjCduunz1JHbHUaaLUrJax+lIp5dRWNcP81sUzcevyBfR/fzYlIqKj7mPjgun4YEB73L9+GW0HjMLgiR8jZ958PIO9yGQvVv4bWk12kT+AA0wRZsCn49RXh4595KtZGssO/XhfhLJJk4obINsMATGViPfv3KF2G+kDO9evxJ3btzxzMpjKFsUGSzZDDo05Sr7nbbts+QoYOXoMPpo+DYcOH5JtmThDCNPcs2cvnDx12rJl6CBl2gdsFiVziFW2y5hPPD4D167fwPjx4zF7zhyeUJiNOf/njHbCwyh8X74WkmLj5eCoysVVKbldBjtrsLcmEc1rzmVCJC7OSRhtl5Mx2uSVs9knYp+i329HUTIyHG+WLYpCGSIYmx3gyxlswmT7wxXIVsFmH7h8Gzt+O40J/TtxNpsnQqOgVUjG/ZHi44dGLV7D+o0bqbGsJoZSQYR2XbwnmPX7LCmJ9Xr8zz+xZMmnuH3rNt5+ayyKFi4kY7XVur4idlSrBewhA/JyIh4stspwq89DPZ7CEAgGW/y+Vo7IrHuqgDh+XqR2aJXuIxEdG4cDKz5CIMnwLqVyqgmpLBol8wy33vMsAiSGZ4Jv4Ur4pxd3Qhzivl3KY23lVkPBYsdmG0ajLFPGBw+F1V68ZRfSRYShefWXLVBFvuNs9r5jZ1C961CMH9ITY/p1tZxFMj7bk8m2vmfb3nj7XXTo2AmFChfRjQU5QFuDplqX1WK0rcFWZbZJ87h49hQCgkMQmTGLLAumenNl6+STT1J8HBZPeRu9R7+H0NBQj8QbFputxEQZTLUeN2dNZqrET/esstebN67hjdFjUKhQAYweNpTWXtVDO0y1ia44Yay2ogLhLHdifDyq9BhN+8L+T6fg1KWrGLd4NSoVK4BBLUmNV5fCZislv9Q+perMhHPGo0GmPh7Qa82QC/4Vm+DfYC0mfXcGgX4+CCVjcVIsrp/4DeUqVUF4cBBltYN8mZScGC6E4fZ1AjOnf4DsWTKjS4d2cFL5OJeQJ5E1nrHZxAhMioc7gaxx6PjmB5g/rCuCXU7JaJPv9p04hzoTlmBs06oY8mo5ymRTgE0Y7eRkpCSZ5QsFu21YssJBS6XjhMEmK4/Rpgorxmj7+JHkmozRJkk2nya50W7Kp9j60VtwBrBykcLRKVhslhyNxWpfunYDkz+Yjllz5yHZ7eASXRvDRGEqtWRpKoNpx26rzUA2BT1uTsxLZl+xk4zbyQFJHyR/P+6dd5Ataxb06dWDK6+SPcvpkXEiIQ5VGrZCdEwMDmzfgCCa7MaG2ZasXGqstpdQC02t5YXRJnciLD1cecv+432B/F58LEuMSebbvfv2YsKECRg6dBhq1a6t7KeyR56Mki2DbYbmmaw2/3z4wH60a1IXQ8a8hZ6DhsnvrIRn7L2dGolsI9LxUVw6zhyXltRbAlBDEi7Kd6mfE71sF4y3ANRiXoi+eQGukEicXfMhjeHMWqUF0hauwNqmzN3DwZqUiCtx2VIubrHdagI1AerUckykHW9dvhAFipfES+VfsZRTRiyqymibcmGtNJgGlnTgJJJkkZekxEQ0rF0TMTHR+H73LwgKIvlvdHm42m/tnCxkee+991ClcmVa59501j8Xo03kwS5/+IZG/ON9gTzzEzcfa4BLTbqnElUaEJPl6VKwfvEcnDiyH6Uq10SZ6nVw98Z1ZM9fiNoVlilsXweF3KOzfxzBhB4tUKVhS/j6+SM0PAINO/XC7csXULBkWZaMVSs1ah+Drcuj7VU+duXdxGI5T/TpXO3jOsawL/GoHk/7zDea84UJsm1jtLnDa+e6z/HngV+Qr0gJNOrSF/u+24oD329H+Rp1UKpSDVrP3e4ePSuBrdNg/k1mOykpEfVq1UBMdAx2//IrLW0r2vmdW7fQq1cvDBv6Oq1Wormg5T2wm/G8YyICyG/duo3u3btjxsyZyJcvvzwKqaZBkkj/nwLtCwuX4fSUj2k8rTtZL+mgNRilEWknYHptFcmaBNkcaDs40BYridNOdjnQ7ejvCPX1RZbgALxdrjgiwwJpXLYrwFcB2X5wBQWwNTAAzsAgDFi0ASM7NEX+fHkYc0tBNmF7A5XYbH+cvnAJ8xYtwbSPZ0jgQSYG2RHsZAvGYGglmRHSJ11STl6vXrmCiRMmwM/fD+PffRfpIsMNKbllpFiyOnujQbvDdgDP2C5qybHkAnSLp0Ej4uakseTtexWAW+d4/OxFVGg3AIPaN8PkIT085bAeI4XKvLJzSr25GqDc2/0A4FuyDgsR+AeXxHNHkHTyV+OU1Odjw7KkCrRVBpIB7VNXb2LJ1p/w4eAuHCTz2r4+PohPcqNsuwFIExaK3Z/Pgcs/QCZLYzHYeky2R1I0ruJYtW4jbd+vtW0n2a1kL4nRvAJtzhaockQSC/3tV+tQr01nLZuoNS5Yz80ySNhAfOXcKRz66Tu06zPYGsC1GG0DaHtkDjWl4yoQ9xLTzR1Pmzasp7VLP542FQXz5TVAthm7rSZOU4G2Xtv5+JmLqNhlKAa2boj3+3eg3639/lcs3vwdOtapjA61X2Et1XBgsVJgNooHD6rJrq8oZatEe4QD/q92gjPon800+/WfN/H1iVsIDfBFWKALoQEuXDi4G/u3rsXIafMQGRKMYD8fKSP354awC8no0u41TJ78PgrnzcXBNgPZVEaeGCeBNhLikBIfh2ZDx2PDhME8QRoD2bHR0Xh59EykCfDH1mHt4UxJYaw1Z7IJwJaAO1mXkdtmICdAm85DRDbuwxy/PD6bvMokmwRo+7Ns404/P0z/6icUy58bDau/whVDDGxbGcgZ4Bbx2o1btMaa9eupuoH1GzM20Z4JMLOT24Ftc9jhQlQPuauQ5wpD0ewj9jJA0Rf537ndGDBgABrWr4fGDevbg20+n504eQoV6zbFwB6dMfnN4R51tGWlDtnWlffGPOMRemF+TgVok4XKx//hEpBJCfFIIuEMyvhPQhpGjBqFjBkzYuzYsdSY0w1tk5GyMcTVOH2PWG3LBouNi0fjGq8gNCwNvtj8DZw8yZQA5CrDpcrG1YRn08cMxoAJM2xZK7K/ANACRKvgWcjEGYts7WPJyy1WzGKy3bj+80bE3r+O3I378xpPpGRQMq5+twLZqrWBX0gYCymUsdq6fJyAbhHDLb5/FthWgRTpC7PfGIguw99CxsxZvWZZFu/VBFFi7lGdvZYDS4nZNtQKp0+dQN3qVdCrb3+8O36CVpVHCjpMW1I1IwDcuXMHQ4YMwaovv/jLQJv875cmHXPg/4PLvafxNKTIBH5q/WbTNrBL0CX2u3nlEvbs2IxLZ06gw+A38ePm1bhz/Spy5C+Mum27Yetni2jfylO0JC3XtPWzhfhz/x5kzpkH7QePQdZceWn5OmvM88w0L0AkYcUFW+2TSiZ602lppwL07OueYSFajXADmNthKdiA8NTk4lZMvB7aR/rjF7OmIGO2nKjWtI1HuTdxTd+v/xIXT/6JPmMnwc/X1yZ+XU1g67ASWz8n2CZ9oWbVyujbrz8t0Sr6EllIkul+/fqhdKnSGDigv5XvSr3DXlUdKvZh789fuEjnq49nzECBAgWV+8deScUmWr7y/0I6TgyTa2s28Lg14u0nhggDxTSeWoBkJYmEt1VKJ6Tcwvp7Jvdmx6bvlXXtzZu4HhuLMUULIDopGWkC/Lis0izFwuSXDLD7IC4pGbeiniBfjiyGZFwAE2v9/qefUfPVmh5Z1HXDxm4VTgdTRmRIyumxHMiWIycWfrKYyu86du6CX/cfVJhGS7IKnkCHMSE8c63XVTHkzO3iPY9DF3J0bT+REI4m8hHviSOCJYuD+sqdFEQNQEva+JKVJf8ha948uZA5fTp8tHwdTl+7RWW1VB5OyuBwma0lF2crvV7yKqT9Qkpuysc1Sa0pV/SULibf+Wcls1RicuW45xeOv3tg9Y0bebJkxKWbd20dEbO+3IhzV29g4bhhbOCxNGfaJGoljlAnYWtUSZ8+HaIePvA8/2dci2SnlTFOff/D1xsRQOIC5UQj9lWlTaqM1XrNlrcgfP0D8OHoQdKIk3I+bvx5yPqknFwtU6Y6DITUT8j9uKRcbOcOqOYtW2HBwoUY+cZYrN24mfZJqz+6FCk5eU/aqWi3LtlurXbM2nXeXNmROV0kPv7yK5y+dptua1OnCrZ+NJaWe2o0ehp2HT1llW4T8fiinJspGVclukLlQFfOxCq1oHX5tRvJl47hn1wI67D56A08jknE49hEPKJrEnKVqYqKjdvi1PHjiE7UZeTx3OhOdvhg2szZGDZ8OB7HxCFFhtEIp5CScd/B+nvOzOlx8eY92eBIW5q77RdcuP0AMzs3oHMPBdYETBNWWzDbQjoupORURs4l5PRVrInad0QmLrYT4E5XBcRTIM+l4l1qVcDn3/zMK0MoJeKEKkjWVGevL71UHCeOH/cI1WBPynO1QLY6z1gJqzykgEYSK3VfBqr0fqLL0Y0+qiU81b8j/WbGjJlYtPhTXLx0mYZpibbpVuV+cCBvrlzInDEDPp7/KU6fv+gZ7iAGH00ibjgolV20RRu/zMHMc0BLuXfln+gC1jMj95KAbDlWs9GPhOjMnT0L2bJmRZcuXWiiNJOh1ICVx2rIw5VrYbfIajvLF87D5YsXMOmj2aw2rGb8W8cxb5Hqnx88acZzXrDuN7dYd57/wAgTUrex93wuSErC4ysnkbtRf1kulJ6O0weRRSrh9KrJSElKlMyntzYuk7FxebiMJVczottkPKc2GoDW/YZj9jvDERcfZzmXlRAKLUO7Uv7SlMjqGZ3V61cJKTdy5sqDjJky0QoMZ8+esY/dNQCZ6ZjJkCEDwsPDcebMGf3ZvIDemNgIyXFmedK/t5BreRyXYCkBDGCmln3UVlWmrcTa+/v4IEfuPGjX93WMmb4Q2XLmRIeBI9FzzHi8Urs+AnxdeKnCKyhcqhxy5MmLQiVKIX+xkjTh6pD3Z6F81ZrIljOX5XDhCTpVebj13ukhFVdLWakhspa6QXfka3Ox0tcFCWDlH1AJOH2bCOoQj1MbxVSQLfqREa5hgmzZLhWCdP0ns5ApR25Ub96OzrFmqJGwj2q0aI9iFSpj5/ovPeYc0yGXbCRXtHca6wnucubOg0yZMmHWrJk4c+a0pdBxA4GBwVi6dBkiIiLQtFlzWmdbysjZXbXsIeb2UuYQMbgSJhv4cddPGDRoEBZ98gkKFiyotFfL0UnySP2d5W8B7ft79iL+xnUZ9yyZZg6KrXgFtTF6rqqnUHyWANuhAmwuH+frfVJo/soVtM6eDQ+TEhHocuH3+w+VOGx+TvSVgGyWMIoAtW1HTqHRy6VklmZWj5gzfkZc2a+/7sUrr1TyHODUQVAaPpZX2R50659FDJw1ELtRsnQZrFy1moLuj2bNQTJJK8ONdRErKrLV0nqsEoALg18F4np2W09wbgBx7e+slYFw47MG2HldWAPAUxBPgbwfEt1OpI1IAz8/PwybOh9uAjx4LKv1KuJeeW1aspLYVRq/Sl7J8+Lfq84RBYxQhleJY5WrAjzc966wBFX/0JJy9wrcMY9tvtFjQP7uQjK0Exm+ycpcv3MP7y9ehQFtm6Jo3pz4dN0W7Dl81J65Sc0lSrx3wcF48vTpC52XAt09Vz44Xjl/Bq/UaaR7aYWBLo123bBXJ4WGHXui28h3cfbEn/jtwK9KAh5vcXMKgDZiTFk8oBrHagPElb/JlDkLVq1ajYOHj2DUm28jgZyQ0wTZAniztikAouiXrA0zR1ISHEgbHkazao74eImsg06cCf3bNMTKCcPw7aFjaD9+Ls5dv6MpEwTQtEA3+VvxnTLBmDkK6GdleubGa9LVE4xt/4eWb3+7gEM//4insYl4EpOARzGJiIpJwOO4ROQsVQlhWXJi+huDERUdQ8E2A9qE8WLMWLqMmTF0+CgMGTYcKTSswZeuoM4NcT+tvl+6UD4cOXtZXs+N+4/wwcYf0adWeRTKlBYr9vyOveeuWey1ANsK6JagmgJnC4jT7xKTLTDNVzPWmwADKUsn/ZOy5UlIFxJEG//dBw+5okEk0OO12hV1EjFuq1auhF/27NHkpWY/k1nHJWgx5hS17bu9OJ4M5tLqMwx8eGfQ1b5pgG1Nyk6GdD/Mnj0bg18fRmvlWgBbXxOSk5A2IoIquYa/+z79ezPWzlRhaGhRHWOfYxHGq92Scv/aPzsvUAWLmczNAtzdu3VF3z590L59e9y7x5xFKoDWqEz52YufwSZW+/bNG5jz0Qfo1LMP8hcqjHVfLMfhA3tt3Qx2zJtYpgzpru6p26weixISZErgJZhWtvP3KkiPvnURBdu+IeMk6VH59yHZCiBLldZIioulfyMYcBbDbQJnI6bbDlQruQrUpFykPWfMkRs935yEOFIpheRfUNhUKzEo7Os+K/ObYCh1Sb/SX/j1JSYmICIyLfz9/TB29Ci+vyKD1uZsfQJXwXb//v0xd/4Cj7H+RZaU+JhnKAhfbIlJSKb3WcMCTniAbVVpYMVak6SZCtjlK9mmAmKSBC9tZCRy5MqDAH8/FC9dHiXLv4zMWbIi7nEUNn46B43ad0e+goXww4aVOPPbAeU4aiw2q8vOlFaiBrtRL1pxFmgst6b6MZOk2YWz6Wpe2YeVMFp1m1SmGYvVRpSE1Kpc3KtEn61xcXH4cfNaNOnWH1Wbvia3W3OM7swl78vXaoharTph5bzp1FmoO58MpUyKZwkx+zmMvU9M4H3Bzw+jR41ECg0NsuxKYs936twZy5cvx+dffIkuXbvh5z172H0w5hgNYPP+cOr0aXTs2InmzVi5ahWyZs3m4cASY1kCcZ7/jb7wt4D2ra+3cDbbWCnYZoBbA9nyvcpkqwDcqpEomHDBXAvGXABo8n7+lcsI8PFB7/x5sPrSddyNj8PHR0/Lc5JMNim/Quueivc+2PjrUbSsUUGvP6ww2iyRCysA9OjxE6SJiDC8iXqclPDSMi+SvkoDX5EBymQYSpZFsR95HxwWhsVLltCkYY2btcDX23Ywo1NLwqSAWxV4i8RMJAaQAnFjPw6MHz6JwZFjJ7Fl5/dYvPwLTPloJmYv/BSfr1mPb37YjWt37tP4dJ3htmfN2fH5Zxp7qK7sexIL8+2Xi7B82nvYuWc/tuzarzPZJqPNnSIOlRnkIFwmQaOAg7PY2mrDZtNRjRt7RGYadRv/1JJ87VQq376YIZj6IjKy6q7sN2Yvo4nP3u7dAacvXsXKrd/hjWnzDSn984QagNYUJYPui5+ZaU9yOSfcuHPrOjoOGk3l7Jpk3JBC6oyHZwmKoDSRSJ81B3ZuXIN5k96mckTKZmuZbw3woAz6HoBbMA5aAhvjPVWdkNKC/rT8UrkKFdG2UxfKuKqJC8V7S5LP3wunEG3HLKFhWHgafLv0YyybNAo79x3B13sOSdUN2Tc8PA0mD+iMCX3bY8KKTRgx70vcfxKjgW0NdHPHkmznoq2r6hyPSYcvRIJ9+yL+qeW7Ew9w5ZfNuHxoN2W1H4mVAO/4JCS7AlG8Sh3MeGs4ohOSEEuANme1CdgmTozylaugYKEiWPrZF3zMU9UC7L4KZ1vZIvlx4OR52b/e+mwLgvx9MbpJFZy5eR8bDp3CxK17PEG2ZLKt94+exmLTqUv44vgFLPvjHDacuoyYmHjGaGtJ1BirbW1TjpekZ55vVbUs1v+wT2akt6o3mPWi3Xi5Qnns38eqZ5jYSnQy00mlqkGE/E8v22IPLEz2QU00qJXk+4tgm6zZc+RAn759MG78BIVhcGisdmhoGL7Z8CWWzpqGnbv24Otvf7Su1w5Qa7K/VBGf56KF59h8T+aFR3fwTy0kqZRDSt3tALcblSu9gvcnTUTnzp3x8MEDAyw/g9U2pMTyMvm2Ke+9jcDgIAwZ+QYunjuLrzesxfSJ78pWpYNz9QjGdSiOOOu3vN9zy9Fqgm4dWJpAnCwJ0Y9xacdSdhwFZKtzV5o8JXD78DcWAy5sKZPN9tLuBQD3bOu62pCsGbPnwu97f8KmFQutuUnpZ/K9B9jWAbU3sK3Og8EhoVj71RbMWvAJfvz+O2zfulVhvG0c2IbPXGCBYsWL49q1a3gYFeXRf+xTLVpPzpKWJ9McGP/UEh2fqMitmW9Y2P4EwKrZvAW4Th10K6XdvLDQ6rrio4kICApCl8GjaCK0n7ZuwNKPJkog7e0YLH+IiDe2sAo9Z4llBNi2Yrttk54Z/dUjwaEN2Gast9nX7XufB0bxsKUUhYViG5Ftc94ZjtCItHRO1WPkLXAsMIvZ3ouWq4xZY19nqhGbXA9JvK/JasGKokUD3WLMIH0hNBQbv96KeYsW4/vvvsPWLVt15RRvrZHp0lGH7sRJk/DDrp/QqEkTjHtvPDZ9tRmXr1xBbFwcYmJj8TQ6Gr/9/jvmzJuL9h06YurUD2iujClTpyIkJFS7d+JuyjGLhIYm/XUH7F8OwCCZVR/s2w+ni9HvelgV2eZmq5PXKOV3kXZy1TOgeJfVmqVsTmYScPIbFmPOPp+Pi8G3d+/izSIFcfzJY+ROE4y0QQEolD6cJaqh4EuAf5bARhiyTwgr4XYjMjyNBa4pi60DNGIM3LxzlxZOl4s68MthX6+Fpy7M88IeGOkslAhTggdSaDwb21NOnKRD0j90omv3HmjVujUWLliARZ8sRoUK5VG0SBEULlQImTJlRFhYqCwnZv2mG9HRMTSz6a3bt3Hz5i3cuHkDV69cow0vOiaa3uOwsDTInSsXsmbLhkxZsqJI8ZcQ/fQpHj58iLPnL2Dj5s24efMm/Hz9UOmViqj1ak0UKVgQDh9FBseNRVZahcsgncrnFKVGONwITeOL5o3r49XVGzF2+jw0rFWNOmXkTTVjv/mgz+L0eDc0DBVtH34cuY/6QMRncq9IR426DWek8mz/4kIYkOS7XHLoYb15YY5VXV5qIFylK+BAXGIiZbXlMRwOHD17Cau+2Y0Fbw1CmtBg2iZqv1IWxQuRhA7P8MJ5nAdw48YNvc0/a1HAsvDiq0w1ue2LpoxDj9HjEB4YqORtEIk6rEFXPTF2Nm46OdHpn/ydA/ALDsGA96bh1pWLuH75Eq6cP4XKterT71IcbvjwuFIy/lDZMK9qQL4nfVA6yahJYfVNso30TbebjWmss4r9+TjnBpq1aEkln+07dcGKpZ8iIk2YaFLGK5drE4BF3rODyhmUJBJpUa8mXl23DW/PXYGGVSvS2o00hpXKmhzIlyMrPhs3BHt+P4FukxeiasnCGNiiDgL9fJVyRnx1WP2EXiEZWOhv8odkPDO1ySXfvgSfLPnwdxeS3Xf3iTvI1mg44m+eQPTTODlGCiOFXH6e8jWQMUce3H/0GM7wNDJPBX3yRHkCB/oMGoKu7dqgetWqyJs9C9w+YkzhQNUnkRoFRQvkwbGL1+h4ffTSdazZ8xtm92yGNIEBCEofgWoFcqBQunA9HpuCbR6nnZRCjcAvT17A/lv30TBnFmQJCKAG1s2YOAzcdQilM0SgXYFciAzyZ0MIGW/IeM6fpdMnGW4fJz2ek8d+MwY7BTVfyo/+c1ejX+sGsqa6lW9DjFPsfVhoKGLjYnUGgzcqdTRTjSkJeqXxbzlw1f1g9i56DayZ0DmXtiEHm7NJn0kRExGftz06vdraxXHF3vzAbqB+g4ZYt3Ydjp84iaKFC9LnS8+IPmd2nNCQULRo3ACvVl2JtyZ/hEavVqXtRbRf0hfoO3qvRENRehzZj1yMaO9ms6e7eRuI9e0pUXfgjMiMv7vQcS0xkf8Km3fU01cHjOLFimHK5PdpMp5Vq1bBPyDAugy6j3U/tePwV/mVsu34H3/gq/VrMfmj2XSuDwoJQeXqNVGgcDF2bM0UM0cwfSlXvQ5llOh49owpRWVfNbmzlivATmnFtrkCQ5FC8jGkMlfFR91GzO0r1hnTts7nCDJ+SzaOuDn4NpVRp/uqknXxN7zUo+g39B45UKJSDSwazxhmyrKL6YH0NZ6TgA71btZOqe3LqDXLBqRzAD+meskOMg86uM3HwHbDJk1RtXoNTBr/LurUqw+XqDMv7r/scqJBWMIHsRsJSVjx2WcYMmiQzVNSGk0qS0pCLC1P+I8kBExKknkf1DbB2iG7fjJ/02emOmXoZ+tZkntsJf/jgXCS/GLPlW2yLu7ciT/x45YNGDHpI0RGpKFzdoUqNZC3UBEKptXcLB65X5T8LqknV1XqZpsKET6+0m6stS02tlHyROt6yge+nz4M2D8/1SHjGdJjkoBW+CupWV6gRFm89Ep1S42hzB/i2PSV/jR/inwOKFCqHJ4+jkJsTCyCg4PovEjmHwfP3epwWuoPeq95PyF9x7pa9mzFlQuw3bhJM1SrUQPvjXsXdevXZ2GRaj/grwTHvP3OO1R5cuzYMRw9ehQffTwD9+/fl0rWnDlzolKlSpTJTpMmjUfzV3GdupJ/EpKS4UcS1f6XQDvq8GG442MpkKWDSoq5csCdYgFuNvAaFp4BsKWTWsi/OZvNwLPIOu6DJeeuIVtgIGplyYhRv/+J2dXKIjTIn2YbF0y2iMcmNU8Fm00Ms52HTqJehRKMGXWy+F41g7Maz0uNg6JF2YBpGjvmQ/E2aMnJkY2ApMExA0dUtRbeZWIos0QApH2KWFoy8A4fMRL9BwzAyRMncOLECSxZvhx37tzFkyeP6T0Wdd7Ib5B7FhQUjPA0aWi8T+bMmZAjRy5UqlwVOXLkRHAISwImTnff3n04cPAA+vUfABdNfsG+EU8pNjYGv/7yC5at+ALHTxzHS8WKoVWLFihTugScdGDU4wwt0E3ORXzWQfH4Ua+jUpN2WL3te7Rr2kABywJgGyBCYQLMRHBur6BbDER80nOooARwP77D7tdfkFWpS8r9G0wO6mGEGFaQ3ur5S2q/bQbsOXDo1EWULZxXk8GM/2QV8mXPjM6Na/PMyE6M6tneJpGJwayrlJloP3Dg4sXLyJufZV185mLdYj64q3I4NqBfvXiBxmZHZshMwYBl8OgeTR1ns75AD00mYeq44/2MO/IyZs+NxIQ4nNrwJfZ8swVDJ35MJXcUODv5RMbLDJLRXfRT5tYxQQIDB4f278Pvhw+iR5/+bFCVlpfotGxvwmqPe+89dOraDcs+XYz0kSxDqwmyybmyHk5qZLPfFddF3jsdTox/vTcqte2Ltd/9gnb1q7O/cRCjNpnNYw4HKpcqhq9LFMaGH/eh2ZsfoWejGmhVvTw3Uoz+pQBuOe7YGdDK5uQ7V+hxGAj668vekzfxMOop/AIDEJitJE6t+whZytdD5iKlKQMgY9UAhGXOhY3L5tC4xPrNW8vtzMBx0/F70gfTMGzEcKxd+SX8ifReAu0kKiV3ELDt8kPpQnnx2/kreP/LbcibOR06VC1Na2mT+zOoRhkkx8ZTFpo4xQjYZoCbgezT96Iw6cAxtM2XA3Mrl5GDOb1tkUCjbJmx7+4DDP/5CN4uXwx5IsJoG0pxJLMkaUlOpPgkszmGAPjkZDg5oCfnGhoQhKcxsUhOSoLLT8RlKwynGNuU2cWYITWHnSlosWMctIRC4lmbD1+CbPYqEs3Q5uQAjh7Zj5O/HUL7nn1pshvLBOLOcaVdie/kXCZ+gned8TTL9utYt2olC+2hk6ACkMlfOJ0YP2YEKjVogdWbd6B9s4b8QOyE+C9bB5dOJIXl5m3Iw8zQukDq6IIw2v/EvOAmdd/V3yJGpABgAhEr51XipZfQv29fWmt7zpw5FqAWl8atbGF0yy84pBCARfzm9CmTkCt3XrRq14Hu5uP0QZ/BVsZxW7eDjBcV8yX7hYIlyiAhNga+gcx2eJE7I8b6Z4E6cR8IG1ig9QibryzGPfbOFYTmKJzKb+pD4jPP0WY3FWxfPn2SKvJIH3b6+rJ9KXi2wJLsk7JdG1jA2swgoXDo8hMmYNsCaQ6MGvsOGtWugY3r16NVmzY6ijYPbIBtsjRo0ACNGzfCwP79aSZt7QoFalPuu92NSkmI+0f6QnwS0YQx1peOSQrIZM2Mg1B+T5wCWIv9pNPeIQGZ6D6WA0c4U8S1WOe8fNaHyJYrN5q0aU8T4xH03G3gUD1GWkme6rCpqqAmSdU+c+eBGe6jqpL4BvmsTb8WI+E8t9uDbM+hTXtVFCQWa8xKEYttKvAmTO1vv+5C3de6SOUFc9Yrx1J+7+zvB3H+z99Qp213+Pr5ypMtU602dnz5KcpVr43sOXPT55VMYJRb/B7rI3Tol3iHP09ldhHYhzqfePsc+/a7qFOzOjasX0dLsJoOJnVMdLl8UbJkKZQsVQpdUmmTmhLEwHPqfCveJhJ74S/2hb9sVT385RcpE/e+MvZZ/+wpM7f20bOKy1JevJyXWE/FRGPP/fvomT8XZp89j64FcyPE34+XXWGx2BJkC0Zb1KL1cWHbweNoVKmMjM1mcdnEYcAlbTJhkJPWaytcpIi85xcvXMDwwQNx+hSTCsuJ0DSCTG+ukUhNNZTUWB3RAa7fuIFpH36IW3fuSJm5f2AQSpUpi46dOuP9KVOptHz12nVYs249fZXv16zD0uXL8fGsWRjzxpvo3LU7aterj4JFiiIwJISXjrHWCRPGY9ePu3D48G/8t9j2JPIKB/wCg1GjVh1MmvoBvtq8BW3atsPGr7egYdOWmLXwEzyKjlXix0XcuJ/NNiuOvFzZMmhQqzomzFhAE/AIKaiQiAoprozFFnXNlWcmXqV0VovTViXkPF7bjFUlMs6nPOnX31hYYjVvMSFkMTqmNRJLsOy5GMYjP96Gnw6gZtli8vOhk+ew5ecDGNurHVwEGKZ6TOX3bQcLdsyz588hb14C5lO/bpJg563hg3Du9EllUFYGdv45MmMmdBnxltX2NYCgyMgNp5XoD/du38TGT2fj4f17miyWSJJcfgHoMHgM2vQdigcP7uHe3TtWcjQvMduWzFDNns7O46MpE/HL7l04+vsRJf5OTzJFtwMoUbIUJr0/GZ279cCd+w9lG1VjtOU2JZGXfM9DISqUfolmpZ6w4DPa52QdbSXZn0gE2PLVStj84RhcufMAzcd+jGOXrlvt2ozL5u1cJkKzzDidLiWvSfFIefD368vvOHgeiXHxSIhLQHxsEjLW6ImLO1fgwc3reBqXhCexiTRW+wl5H5+EGu37Ye/323H61EnEKInRaLx2ihvZcuRCvQYNMX/RJ0p4jJWITtQeb16zEhZ9/SO27vsDb7SpB1+h+uANiWYUT9ZXwmifuPsQUw4ex4cvl6ROW7ovBeL8lZYAc6NiukhMKlscEw8ew/mHj5j0nDLjZN9kXLwfhZFf/YTTN+/x+OxkFutLwXYKCuXIhDOXSfyv7ohUy1iJ1+CgICs5ltGTb968jvkzp+HevTsaYNJj6IxEN6nU0Tals6rMfNH093Hgl904fvR3z/jTVOTkHkwKCNuQHaVKlcLWHd9ozmw23/IwB4cT5UqXRIPaNTDho7nUsNHHU3XcEm1XokOlXXOnvTkmqygktSU58Z+ZF2imcYMb4YmmNMNBcRDXrVsHGdKnx4YNG+RxVIZMVb3JLw32jLw/euQwvt2xDa+PGgNfX5YATe7+PNMDd2qI3fb/sAPXzp951p/S5cGNK9g28x3cu0LCOcR4LsZ+9/Pdu4RYnF0/HUkiIZfyCB9fOgbf0EhEFCiDy999joQnD22PIUHYc/2iAc6N43w+cxKO7v0Z547/oYE73Y5je3sQMvwfb58lhyASxvHjlSxTFrXq1sP0qZN4jKhxLw0b0txGbN5atWpj+ze8BrpiTwiK55kPkxAnduqCF1ziE5O1soBquKian4nFQbO4bS1ZGk9CJuTjoo61p1Tcc9vZY79jz3c70Pv10Qjy9+Ox3Cz+mryqcnGR7EyUelNDX+l5iXM1807JiC2RfZ6BxEsXLuD1QQPo/KY6Uaz+rL6aoRuK01IJDZF9WHl+t2/cwOJZ03D/3l1N5STYaRNcq+UgD/70Le7fuinHbdUGs9SG1rpx/nScPPgLLp7606pvz49Pyq199vEk+xAKNwP7noy60n75q650ZH2BKDumvv8+z1Ek+oEe5y3/1g6LecNmNiDb/J4s5PhEGv9Xlr8OtPft9Si35XUVQJnWHGVlueTqa22nr35WfWzynn0nPrN1+dUryBEciH33H+CldOGomiMT3Y+utNyKqHXKJeOKbJy06gdPY5AhbYQOxqSByiSbIpbs9p07yJQxo2z0X3+1iWZk3rR+DWv0qQxUdgMqUhsolc9LFi/C778dwWfLl+sNnzYk4hlSVtis/Du6r5TgmIYZW0ePfRuVq1ZD8ZIlbYwxK55cxKoWK1ES4yZMxMZNX1EDqmvPPhg2+k2cu3RVyRBsZkoXgNtK6PbuqKE4e/EyVm3ZycG1ACYWYGHbFOAsJf5WaSutnjRPfKZnZbaMLdMA+yfi8VLuXNENOc0ysomNtd3GtrOEbarxaZ3v7t9PITY+EeWK5Jd/8/7SdSiQMyva1q2mXZdliKkTKnuvy0BV8MW2XLxwEblz51EMAL39idftX29CVNRDbNm4TsrFNQPETdQQsfhkyrsIDU8rwbVHzV9D1qSWmiDr9+tW4OKJP7Br40prslAyItNkZTlyI+rBA8wZP4bG36mJzuySrFkSd91oGjzqTbxcuRqKlijlBVBYK/ndIsWK44MPPkCX7gRsPzBitO0ANq8iYLT3d4f0xtnL17Dmm59kHLIA2CLbuHAuBQQGYkSnZpg3qhc+Wr0NI+evpPHiMkbbK+DWs5DrAIa047+fif+bvaeQGBeDxNg4JMaRTL0+yNl8DJLhhycPHiImLgnRcUkUdEfHJyEmGWj35ocIiMyA+1FRNF47zojXbte5G37ctQtXrt/kydHIPdHBdvGCefHN/qMokC0T2lQtw8dekXhJ1McWIJvFaB++eRcfHT6JDyqWQLjLxaXk3te0vr6YWKY4Jh08jstRTyTIJsfbfuoyomLisfH3s7qyi5dky5kxLa7cuudR8tBarPcJCYnw9/dXJnrL+Ply6ac4dvQ3rP/yMyVEw8wNorPcetI/u1XJUaA4lbq9PhqlXq6M/MVKeM1ALtkm1ShTYsfV8WPAwEFYsIDFudqOh7ye6bsjXse5i5ewevN2Qz/PcqaogFpDjQag9pibX4CI+EfmBSIb16y15wDbcNPEP598sgjxcXG6/NS4DhUQm/vMmDaVqpKatmyt/5kNtjINfv1Y7F2WHLlw6+olj+lCixPnxzi5ZydinzzCqd1brfPkF2JlObcuQt0mGPWQzLmRodSrOLn8LVzauhDXd6+l6pCTn43D/WO74R+WFjf3bsbTa6dxc/82q7oNze9jATdZ41pkgpa1snkSXrMkpIivpQwlO5+4J4+pHLVM1VeRr+hL1nXb3EsT1Os8jFEzGd7mV8s+HD5mLC6cP49N69d63cf6AU+XQrdu3Wh2ZptW5GWb52ciH/+7C2FNPcG1mrtJiXH2AN16wjTbLOUSIHvGZi+ZNQ258uanpRNVQC7/RgHXAmCz32Bx2GriMzPnlBV7bYFr0i6Eybn5q42IevgQ69euse/EykfVZLPA9PMtq1csoQ7Rjas+8/hOhuR5OHtYG7p56QLyFi9l7aMmK1T2F2vTPsNRqOwryFmwuHEsN9JlyY7CZSoaCTXd0uaz1I42DiJjNZMJjnpjLM6fP4f1a9daWEgB3NpxbHuDck9MMC57p6GsVAG4203l4/8Z0I4+dxaJ9+9KOXeqgJuDbAqwKcj2ecbqYq/+Fti23vvgRlI8fr57H34+PmiUOxtaFswpv2Ngm9Q2dbFXAbhFYjSnEydv3EUhUtJLlIiRAE6XjYtMpyQTaLr06eX83b1nL9SuWx99Bw7SJ3Iv5KW5eAMt0iPKXzt17Y6ChQqhbYeOnoOxKgVR/tO9RaoBpnh6FJZB7FO+wsvoN2gINexl+Qq7EhYygzMzzIiR26hJM6xeuxbtO3bC5A+moWO3Htj1y6+0TA8zhHVwrQJvIu2oVb0KZi9ewbMzs8zNMnmUAlAskOKZDMouAZoE3AZYNcF2yt80qFIe34M7jmfotgXP3pJS6WBbZ9yZjFI9XwKkJq3YiKkDOsjzP3v1JrbuOYgRnVvAhySNS5XFUZ0AJrtpWWEPH0bR2GERh6a3Vz1bbPtuPVG9Vj106TPQi6fQjV1bNyL/S6WlN9OUM5nMtpZchu9TtVl7ZMmdH5Uat7b+xjgWeZ+zQGHkL1YKB376XjJqulTKAgOml1bEi5cp/zK69x8EH5IQxJDCW/JcAfTZWqhIUUylYLsn7ty/zx1B3sC2J9NN1tLFi6B25QqY9dk6VgHBZQO2jTEra4b0WPr2QDSsVBZtx83GKpJwi7cle8CtghrRDCygQuK0/85y8PgFXLp6C4mxMQxsx8VSdjvZ7Yund67j2JeTER0TR4F2TLwFtpOcfrh09gzmj38DMQlJiEu0kqORLORkHHrjnffw7rj3kOJw8qSQIjEiS5p49e5D3LofhWGv1YcPCRGiYyl7uAJkU8k4T4R28eFjzP/9DD6sWAKhThdSElOQrKw0uZkN2I50+eK90sUo2E5KZNJzAt7bF8uLmnmzolfFYgzYqwM73MgSGY4b9x7qlJkXSyCJSMyFPNVg2V7r1BX5ChRG0zbtbYCuGYunAmyexMZmVUu2qOx20dIV8FrPAbTNWU5XT7Cth4uoLIVuzISFhqFK1arYun2HohyzEo+KcbFUieKoXa0ynReoRFSWajHGNZPVZq1aa9N/dSH5O/7W3yclsVh8dRR9HrDtZskoe3TvgXnz5rIr8rTJ9TeGkX7x/Hl8u2M7+g16neZ80He1QLnFWOs1fz1XB0pXroniFSsrf6t/r74v37gd8leohvItumjljCxprVWzWBxHAFxWaYYdJyJ/KbzUZxoylquLsFxFqF1XsM1I5G06EP5pIpG1UhOEZMqNbBXr6xVueL1jwoISmbBMYiXrIFtgSt2mJbviIIokNEyIj0Wftyaj+6hx8PX11eJzn4sU1ox11e9iAw4MIF3spZKoVuNVfLJgHsuubuwjjq/N1cpvk/JHJC7196OkAsnzdQsryz+7OCIf/zsLYwHdkvPQSv46UwfdEljLZGkcAAuwrayS9VbW65cu4Kdvd6DngCEI8HNJFlz7O+W4ajtgINv6LTuALeK41QziapGpnr16o269ehg4aPBz3X47SJHqwp99q45dkLdgITRp3f6Fn0+Trn1RsGRZcTjdL2j8GGlz+UuWRd2OfajNqZyGbMeV6jfDhdPHdBsPKui2Qgs1p5PpWDaSCRYvURLVa76KBfPmSrZc6zc2gJv+rs1qC7CNvqrfC/Y9yTPwnwHtqH17PQC1d8BtsdV2qwTTKthWgLW6uvx9MOvMedoB3ilbFNVyZoKPr4sy3gxYuwxG26Ww2UxKvvvPc6hWqog0WC2jVIBtBazAQTPVBQUF0esmW0LDwiiojAiP1DzK6tSfag+RjdfOyrKYC8IUj3nrHWTMmEkbXJWoPs3AspVDGOBabfBqDIcKJDQZoWGEEYAtSsOwbM5MZp4CJ4qXLIUFiz7B5Kkf4Odf9qFRs5aYOOVDHD99TgHdnsB7YN/eOHL0T+w9/IclF9fq5lorKbtGS6+pgNv8bMTaW7JaL2A7IcYCyn9hSblz2dhiGoEqa2PU8xZZJzWArYNw8n10XAJ6T/0Eb3drhTASX8+/m79+B9KFh6FtveqGEcrPQzFKJROksD9MuWGdM9ln1+7dqFyligGy7RQYpAxYKJq37YCw8HD7gYnvV7leE5uEHHq2YjN8QgWzERmzoFnfEUiTNoMmNTcBBdnWpEsfFCpRxkOqZDmnFFbdBAZ2THtqYFu5jsIcbHft3gv3Hj6yBdsqg62CbyEjH9S1HQ4fP429f5ykGcpVsK1WRbBKerHXGuWKY/O0Mbh27yFee3cWrt2LMhxNumJHbReS2SbPP/oRUp7ayzCfZ/ng43lIeHKfyj1J6R3CaBOgnRifCFdELoQVqoxLP2+WrDYB2XRNSEbGAi8hY658+GnH14hNYhJykliNMNqJKUCBwkURHBJCxwo6Nsha5Wydv+ZrmiSwba2XrfZMnil/cBRsc8k4ibOcsv8Y3ipTBIEOHwqgGbi2Vgm4KcB285V9Tu/rhwrp02L7pesy3jvY5YNWRfMgDckRIH5TGZQzhofgDmkXJnK2G1NoOSjDKOeOpczZsmPw6LFIlyGTJ7BWlBm6U8mNCyePY+X8j/H+kB50Tpv73mhMGNAZqxfNojWC4+Ljeb15q/SdR7Zy1cFklACTCQ5tSzdZxhMpZbVg4SK2zcaxLVjtgb264sgfx7Dv8O98nFJUSB4UrJ2D8W8u8dF/b15IitcnZvWBegXb1netWrbADz/8gLhYezbRmGXYNv5myScLEZk2LZq1aiP3Vb+34zBVX4UOxtkaFByCHzet0fgE7bcVOyggOASl6rZEYEi4DtglY60CdaN2sFpPmIAbX1+EZMmD8DzF6XbfoFAJyAMjMyF/414IjEjvAaBJ9moGtE1gbf9elSoTQEWUJ7/99C3e79+BlusrUIzko1EcBIK9fE6Hjgqy1aZg1smWIED5rnuffvjj999w8MA+7wSN8SNqixrQvz/mzJ1nPLFUFhr6qngQSIhdEkvq9/fZbFHKV83WbQ+6PZ8R4EtXEyB7r7m9atkiRKRNi+at2vBs5fbgXAfxlkTcBNhWxSSrlJcGsjXnE0l4GoqOnTtTh8dztRTDb5j631iMc6as2TFg5Fikz5jphZ/PvHeH09ri2pGVdil/S/Ud256NNc5vWrpAwRxuTQGl4g9tODQqz+gYh/19r779cfT333Bgv01fSAVwe6zyXK3fFBfrAdGUe0Gxz1+Qj/81oH1gr0d8NmOsfSwWW7LX6qu1EtBMVpXFFttc/i5j9cHVhDgMO/wH9t69jw4Fc6F0lvTs7/xdcPr7svcEaPsJNttitCXYdvrg5+PnaOZeU3JsTdBOrZUXKVwYJ0+e9OrJVb2bYgIx5SNaSn854RixVqktyjxtLt7+XPVKqX/u4QWVYEMHHlYZAMFu6wXnrdhVEivL9iGvGTNnwZg3x2LT5q9RtXp1LF2xAi1at0Xrdh0x9aMZOHr8pCb/rFO7NvLny4s5i5daMdoaIPGUj1PA7cFie6oSVMmsXbI7Abb/DqudfPdqqvW69dXYz64cEz9XcZxLtx+g9Tsz0b9VPVQuWViCcsJwr9jyA3o0r0sZENWhIK/Xq0RdN9NUQ/arzV+jUaNG+sBl+6p7HTUlBW8jh375CSUqVqG1oVVwawFpT2ZM94Ly96qXUw6MNnHdJJGWjw8+fnOIbtPaDJ7WGCpgjOeg/WywrfQRzmxPnjIFnbt1x72HUdwpZDDYMo8AA9tMycFe69asggK5c2L28rVyf8loq+w2AeE0kaMFtv38/DGyYzNM6N0OfactxrpdB7iygxmlnioHC5CwBFNs/Tus9tk7SUh6eBnJiXFISohFcnwskhLikRSfgKT4RIQVqIrwYjXx6OZlxMZzVluC7SRUadMTBctXw/0HDxGXlKzV1iaOvY5duuPLlatoOIwYB2hfeBqD5V/tRPZM6RHg5y8erMVoc/k2AcAExH5z/gZKRIYjM2mXz5CL66sFtlvmyIoN564iKdGK+Va9nqLOvQqS2e3WkIcHZCJGKasdbN8mPdu8p4NK1kt1Aw8f3MO+73fA5e+PlypWweApc+AXGIReb0/BmNnL0bhLH1y/dBET+3fGp1PH4cmTJ0bYkF76SDqYNMZB9BFPBYmmPAEQQlntKti6bYe98oe/1q1ZHfnz5sbsT1fYs9gm5DOBt7b/f89qk7Je2pKKY4V9L/9hANzhQN06dbF79265i2UvqBS29oInjx9j9Zefo2OXbmxeEN/asOJaM5RA2WKUpY1CxlWXCycP77f2kuEn4pbrrLbFVOuSbAlYFKm3uqrlXeV2WiqWrS4XA9CkxrGfL1v9yeryoa8BvuxVbiOxuL4+CNC2+bC/V+omi9rJBGBdOvE74h9H4ebFs3hj5qfIkj2HxqwKKTG7HkV6ribTsmutXpqiNUqoANyaZ6u9Wht58ubD4gXzPUIM7WKzFXxA3+fJk4eqZEjFGfn01Qfv8dlz+Tvy8WSSHFK0BS7VFyWwdOBtgW7L8QGv8nEVWFtstgDjQFz0Y6xf+QXad+6GkKBADxBuSsZddgy3PBclPluNyZahByzcwPpP3M7UXTGp2lma+sFoJ96outQEU0a7FPN/xmw5cOHEn/quSt8Xf2z6N705A4LDwhEXzZyUOth129psamiUtL2MfAVCRl791drImy8/Fs6fZwF4de6Rtpv4PV31a4Y4qs5sbbVzZPEl4S+w2i8MtBPu30PcpXOMvTYZbAGwOVMt3lug22YVgNtmdQX44GTMU7z1xwksv3gZJTNE0Im+c7F8FGDT1Y+AbF84+Uo8oAJoixrMIj470Q3EJSQiNCREZ7O5Iap58UgrcgOlS5XCkSNHUgXY5iBrv7LuJ7yiZkMVAPxZi7qH5qk2xsnn6txmQzfZbTObrWrM0fp4QmbOElNJWTlpnA4nKr5SGe9Pnoq16zdg2fLlKFu+Ar5YuRpNWrTCiDfewrFTZ+Dw9Ue/3j2xact2xvgICbkGUGwYbspuE9mhEWdvstoq2JZuc0tGS43aR3dftBuw+xgXA/eT+97rdduCXG/7KnHm/POuo6fRf/oSzBvVG9VKF9Viz9d8/yui4+LRp1VD7VjWPnYGLGnjtKXq3/HPpCQcYbtIpnpPOZvBVGkeeMuYFs6X+Ph4ypaRuoyqAS6NdiUWVGeprfZnsXNGQg4PR5KR8IaEBAhW8Ln6AWcBbJi452K2FRl50WLFMen992nox12aIM2UjwuAzSogqEDc6fJDvy5tsXHnLtx9+NgC2LKWPEv8JdltXjVBZbcL5cmOjVNH4/dzlzFoxjLEJpBs+KJmsRewLWWQDhuFxvMtN+5G4dTNWLj9whB37TCSExjYToonrwlITEhEUkIiEmNicXrNdEQ/jWYAW8RqxycjPsWBq5cu4JPJb1NGm7LaJFabJ7YrUKQoTp48Qbexfs/6/+qt3yE6Ng45M2cwnq8OsslrXHwSVp2+hI75c9KEZ88E15TZ9pSR+7kdqJoxPWW1KdAW8dhKhmWV0U5KToavqAJggkDluZw9dw4FChTQxmTYGdUGK0AdVEIOzkH23m+3YfrI/ghLlwEZc+RG3uKlaS14laV2unyRNW9BvLVgJcq/Wp86MU4d/c2qP6/IxdW8CXYstqpOUfuS1rcJq923H+bNX4Bk+hwtcM3mX84T+vigf7dO2LT9W9x9EGUx3qZCx85hodxPtnvqIMLr+PAXgTZJgkfrqNuaws/6Y2tUqlunNr79dqeHQz41F8KmDesQEx2Nzt17pn7JhrGgMcsaqSDGByBrrryIj40xzkWxZ1QD3bSVjBhpnVXWJd0qyCY2pmCmfV1kJeCaAGUGmAmwDiSrH3sN0FYGvL1tDyAgXKw+Ttw8fwrTh3TF8X0/I226dGjbZzAiwsO1+s2UIZdspnKuSu1kK/mkzb329thtwIbo2+RYXXr2wfYtm3HvLkt2pQMy/W+FY089xqDBgzFz9mzFCUW2m4aj95b1V4E2lbu73RKMCkaYya6ZqaLG0jO5OAPeAlzbgWBPRhvw9YEGordtWo+YmGh069GLJTsz2GwTYIuYb33lzLZyfqqzQLDa3rgM74/esFmUbRrj6sHWWu89/9qwabwtxkmVrlKLJeg0nUNG0jYLbBslmZXDUozjdKDHGxO9XrXbG8ts2HrqHCM+k9/r1qs3tn29GXdJX1DmQjv17rNZbeXe2bDppnNDJPb714F29MljsuQWy+jtsM0SbiYwexbIVhnuO0kJWHnlKgYd+B0/3LmL4aULYXKVUvjl9n28kiUDskaGWiCbAm4Gtgmr7RTMtpocjRunP584j1eKFzQk48aqDERkKVumDL7//nvZ+DgsYe+91NVjk4u1iklMeDrVMgCal/oF/O8ayBYQ/Vn2hBdXmOoBUzNGW2ydWtxeSZCmFKNPtpOVE28mLVXmgMs/EJWrVcekKVOxafMWmjn9k6XL0Lz1awiPSEt/f92mr5mkXMk2rjPaAmzrcdoScJustgm2JYtsAOHYR9QIf9ElJeqWrozQ2pTNyCslDsb+CsAm53ftfhT6TvsUa3/ch7Xvj0DurBk9ruvL7btQq3xJZMucQU/+ZrNSxlq0XgG4PWYFJzZv3YYG9evrXj4vsnHBOFuAVAeifx7ejxpNWsPl5++RN8DKUumZgdIuoZM1+EkzwmMyUj2+NZu0Mmpye+8Q6sCqbNUG3heVkRcr/hKmTp3KE6Q9tPIPaJJx/lmAbf592+aN6Dms3vadnnWfxyI7lERpAnALtY7oD35+fpjUrwOaVC2HlmM/ppJy7/H7CrNNcxbcZdmyX3DZc+QMUpISkeJwIenuWSRG3UByfBySFUY7KSEJbp8gZKjYEhd/WK0z2gRsJyQhImcBuAKDcfLPo1b2cb6SNlOmXAUc/o3IibmKxenE5xu3odbLZRDgT0qNWManeIgq2F598gJa5s0GPzIuKcBZZBgXUnALZOtgW+6XlILm2TPj64vXWIZyfnyN0VY85onJKVb9T42B1Z/D8ZOnUKRoEesaTMPbUCiZ/U7EYyfEJyBrvoIYM+cz5C1aUmOn1UzjaqI0EntHjO/tq5djzaJZCrDmydMVh6tq2JjGjRUWYmP0cFa7UeNG+HL1ajn22Dkk27RoSq9z7VfbFOeEZgnyO5HKPf0bjLY7OuqvzQtEZisf1F8A2/zPiMPlwvkL2uZn2QvrVq9E1Ro1kSVrtmf+hDCM1buk3lqd6Qa6jXqXjg0mG66x4Fq5JGGoWyDbacZRa58twO10OrV9aay1y8mANmWp2aoBaD8GohmwZky2YLMpGLcB2b4O4NT+3fhx3QqER4Rj2OSZ6DhgGP07ynTzBFsU7AtJupEUS3UkMFbTYPaf4RzROrj4bIBtQk6Q5auNGzwd3jZMpg68HShdujSuXr2GG7dEZQkbJ1UqDimSefz55lR9SU5R2GwlFl+tUc3AthWTLYCtXG1AtSUj1+Xk6rp+zSpUq1ETubJns2ezldV6vsqqJGQzGfe4mGhcungB+/ftxZnTp5QyX3pf8rZ4ADwbO9ybM0VhGPSDeX7wWKz+atF6eQoXQ3KiytJaShWPDOkqyPbyAwmxsfhh4yq5g9t0Emj/GWSfxCB8fvOwOYGmvC9sWr9em28sNaQn6LZlrT0IG9Pu9QTZ4HP5i/aFF66jHXPhLC3DRetaKmfIjF23xyvdwzgn4WUWr/EpyTj64BEO3n+I04+eIEOgP2rnyIxOxfLBj4BnHweux8TiyJ0HmFarPAXWMqu4iMtW31P5OGG3ORPES0J9/sMBvN+X1Be2gBoBKdKrri7cek+XNhLFixXDtq1bUL9RIz55EF6QXz+vpci87FY+Z/eznMiKF1EHzebArGS3VL9XAbZ6dFl8WNks+iR/L1/Ny7VpfPJ7/g/7XVbjWHi3WIVGto3WReSARNRllZ2VNHxSH9cBFC3+EqZN/xhPHj/CwgULEB4ejgWfLEGfXr2Y1FXU5iYV72lJHFaLmLU7/h2tUSwMIfYcrNvKGyUteMu9I/yZEujP7ge/y2R73BMgKA1eZEkhbLY53GgflSFX84QIYCO2sfXa3QeYt2Enzl27jbe6t0KJ/Lk0OaXY79LNu/jl6EksmzhSqwHvtR48Tyakg2s9ERFxhny5ahW+/HKlxlKrhrQa46zGMmvJ8txu3Lt7G+kyZ0fhsq9Q54uWkEmLuVETWljZHmWzU0qGijYqn7FBGEhPKwBfPz+4SLjIszxPWoNR2rzaT+Rvsw2sfCfr6eTctR3Jz/GTLVy0GAXbnbp0w/RpH6BooYK8XZNxIpnVxOUrG0bYMdKmS4961Svjy03bMaBLO76dHDiFXyTpE8JRwmXG9PeTtbrd5Lh1KpRCnqyZ0GPyQsx6vQsKZs+kzc/azabXTL5MgfvxfTjCdXb4WcuRE5fkYXyylUfS4xvwCUkHZwIZq0npRReSEp00UVlwrtJIk7cU4h49hp8rAvEJyYh1JbNSKy4n6nYbjMiQQDqhkTXJh5QbZO0me46cuHXzphwsL165il8O/YZlU8Zi7dadxvNV6vfypGg/XbmNWZVKISVRxGyTVysGW80YLtocvdXkOdGE4Q6QlkVq5fq6fBDu54d70bHIFOBrMedKxxGzA2W0RZI2eadEoxGfHbhx8yZNgGTZUOZMoiYBVNQkPBmmm0s1Jw/phmEfLqKSX1XCzZosa7/sDJSx3O2gYR59xk3Ht2uWIzYmGkHBwXT8JMMEeQZkX/FKVz4LkfvBql0Yrw5eI1V+ZufQrXsPNG/aFK+1akXr1bO+SlhtUafUgXRp06JuzWr4csNX6N+tA59bODCn18Krr/I5SSlKrIFten7yO7XRm5sMy5X0hdjHcASHv0hXUOJZjUFEbBMFcelH5fwN64E4XkUyM/rZc1pXFgcuX7qI/Xv3Yu6iT/V9+c/Joc1m/hfHlLdNtAmFmb538zp1wPR+Z6r17CU+YzXCLYKBJb/y4XaiWxgD2kKcyynUHkgmYStONXu+fl5CCagz4gwAM+k3S3zGWEkLGAtZuLqdgDACHMmQumHRxwgOCUW91h1p0lsmZ7eSXDH/uJ2NpisTrcRulsJRnfKtuV65qNTakPqMSZ6StGlRvVZtbFizCt169dHnRtqk+PwkHzqrUUynAr5p9OjRmDJ1KmZ9/LEc7+U4IBqIakeq/YkcOykRDl8/vMiyb+9efPfdd3RMImtISAgyZsxIV3K/IyMjkTZtWvgHBGgOBvP+qDaB1ZXtwQ5pQxcuXGB9Yf58WirO5XJpfYlf5DM+smecmJiIP//4AwcPHMDBgwfw8OFDGnudKVNmWpHo0OHDaNigATp06sSeiVIO27wGy/lh4CIji7y5jy0Y1Gx1BYeZV0lrlXP9Am2nfMznTjHyJwd/2IGgsDTIWbAoY19pPXOBbERiXMvG9ixRZvWHn7duQKYcuWyfDTyYZVI/Xa1/Lp4vq6POPosxU/SFdKhRqzZ1pHTv3Ve7v2J8Y/ON+MxqtT9rsdqYHp9ud09JnLY+n//DQHvi4iU4ce48MgUFIFdoMPKnCUXB8FCEkSypdmBbXgK7aY8SE3DpaQwuPonGyajHuBkbB38fH5RIF456ubPg9bRpaCwOZR95rW0iU9928gKCfF2oWygXXAF+lMXRSnipJb0IyOZgW8gu7z2Jpcl1smZM55m92tR5yCfOAN2o4UNpMgXiHaOGB3/iJsAWpbTUqzYXu/HVBNhycDZAtsMGZJv+ATkKOXRD0ToZ9dyNP1WNcFVaobY0Lt8QR3LSjsKMNDbwW4YbyRjLflt0crK/AymK9y84NA2GjxyFDJky0aQdDZq2wAdTJqF40aJwuEktWmLlMVBNwUVKChz0uSSzu05+g1pvBJCrLU3pKgJsS1AuCt1zsENeiEH1gkDb/eSBzQMQP6HPqLqUTHogKLv767GzWPz1D/R9n+a1UblEYU/WXcSUO51YtfNnBAcGoNmrlWU7tkC2UvbMjrmWteItsE3WfQcPocRLJRAYFGRlZ1STh8FzgDQT6YkkSYs/nIBGHXshkn5Wwg4EQ6bFlZoAQLlrfAAWLZaVrtP7lelhTUiIx/ebVuOVmnU18P0Mu8bGJNYHd3XwZ62IGZXk78g10F/ir+JvCNhesnQpBg4cgNdat8ZrrVvRNk2vK0U4i5JpZ6BMEW2nDrRr2RQd+g3F2cvXkT9XNgYWKLNmAW4h9XYTsM0nE1L+RsRbcyUY8mXLhOXvDEL3iXMxvmdrlC2Ym/UVj3HDrWXSd74o0D5pxXY7/MLoa+LjWwxkJ8ZTiXJyogtJLl84E1OQ+PAmLu9fi+KdxiIh0Ym4xGTEJjrhn+iDiJBwrJ0/Cb3HTECSL2NgRRtMlyE97ly/yn/IgVUbtyA4KBBNa1b2BNrKtZHLu/s0FukD/eFDwCKvla0x2Bxok+3q/MX8G0TBRTbwfki6YrIT5dNFYt+t+2gaEcpBNqN+hZxNdBwyMZN5TV/UwZ05TG7fvoOaGUg5SU8Hk7Wy//TkflbfJO2/xCvV4RsQoINszZgTs5ccofhMxkBDnde64Oct65EtVx4ULVWWgWvSlxXgQ4dmMZTwPqL4Neg4Lww6+R2/Fj9fP7Rt1w7LP/scvXp0I0jMOgg5KJ+42rdqhg69B9EykPlz52D7UeQvZ0NPgCCcp8KJSY+pgAY7C1hud3uw2nhBoJ2S/KzEUTrYZsOF9xGKtiNv84yybFi7hton9RoyVQw9trgVmhFqPWt1P3EfrTZhpdAkdz1zthy4d5PUgmfOEPYd28diK9kc70yxsjGTZm9enzwucSY4mSJOVzBZZycUgjIuWkl4RkC0y2UPqK0yUFz27XRQhc2OVUtw4sAe9Bg1Dr1Gvq1Jg634Yc5O8+tK3VYTc7zh9BWAW+xjMJ5en7eCc8VjIa/NW7XFgJ5dcOHcOeTNl4+HPHG7i7ddpl4Tf28dhLwlrPbsWbNw7vw55MubVxl/FPSqfGYmktWfaD3tFwTapCxazZo1KMj1cfog+ulT3Lp1C6dOnsT9PXtw//59WtknPiGejavcvhTPX9hN5LOshMLfI5X358+fp7+5bcsW7Nyxg4J86ghV2pU8pttN7Z40adJQwockPyZgmkiTHz16REE6IdvKVyiPtm1aUceA6vIiJR7ffncc3nnrLYwbP56qMQyTWQfKytwiSQZ1nDfBNn+XGptt2kUei2iDii3O2idzzjTu3BvrFxMn2od0vmDkGXeSGYBbBdjMkakoOBzA08dRqNmsl8cpuL2co7xuw1kkmqTbpkM0b90W/Xt0wblzZ2lfYGOaNax6A90azrM7QYVZl7+N/xhokwYyqGB2JGWLwO2YOFx49BSnHj3BxkvX8TQxkQ84bgQSEOxwIDElRcZ6iSWNny9yh4Ugd5pg9MyeH1lCAhiYlqUd+HulJBcB1d9eukHLp4SGBMls5gJsk2RnrIwXe89ANo/T9mVSy4Xbf0TXBlUVJptlIteSRqlPgFstBNQFBgZg2LChGPr6EMybPx8+JNOtMlUJACC2GH3gmYsJsNlb+1hu8Y8l5bA5GP1xy/AQNofqJnXYecV4B9YMOsX+kEMLd9mpDLaocMpsAuZBooM0/y0I44x4urncQ3qM4UDL1q9hxPDhKFehAmbOnod06dLi3bfeRFCAPwUQ1PNKr4kMlsnU6KOzuAquuQ0mOpf2BDSwLZwCwhAjQPvJcz4tfntJ5336QAfQHg9BPDy9c5M8AXuPn8OWXw7j5KXrqFi8AMb3bstjTO2lvVY+ASe+2rUPDatWQHBwkFGmLjUJuTimCI+w2GzyOnvuXEyZMtUaXI14FZPNVqXdKpt9+vifCE4TjlyFitK4WjXswGvmSY8Ml7Z3UpluLEeP2Etc3o1LF5A1Z179lj+HkcqeqdFPPHaw2CB6T/iO0ijlX6pMeoZMmbFy1RqMf+9dHDh4CJMnTeAMnnAWWWy2UG00qlsbgQEB+GrnjxjRl4AQxlfStiZk3aJdcFPX4eAAnrwKuQFtQm5kTheBL8e/ji7jZ+OtLs1RrmBu61rNCyPX9YI5C8jz+00B2lR6TuKqr+6Hb2hGmhgqhQJtXyT7JlEZtl+arLQEUvT9O/B3ZYbLlUzZ7EC/ZFqrMj4+ATevX0VwntyahDk8TQROH/tDnvxX279Fw5pVKNi2lXMpFs0ft+/jpbThjMHmTLZks5N1oC0YbXmryZxEkKMY36hzJAWlItLgi8vX0KRgTiu7uayVbf0+OX/vY4U1wN+//4CyPHLM1Sw0U2Giy8bFT+YsUAQ58hfhDjM9TloYeuKxa4wHHxNpf3Q6UKZaHUwb1hNvzFiM8PAIJHMsLHIx0OGDjON8HpAsNmmt/JiC1SZtmxlTlmHZvn07NG3SFF06d6QZ4xkDR4xUfq/cDjSsU4vOv5t3fIfh/XoorLYF81R3nDXvKY5OyWqrbjxbk89zSwzJFP/8C70HND7b9kv9sZtIymYJCAxEXFwcfU11cQDbtnyNOnXrITg42FNFqE//9t8p7YDdNsZSq37aNr2HICkxHj5+JAEnB0LKPgJwE9CanMLAMb10awJmvylZbzY/kP3MjPXWvvBajouMGRJku0jpJiYzl3WYOXt9ct8eHNv7E7qNHIcCRYqhQ59BtM2pGcetLNJWrLUgBLT7pTDc+nbrfopXFXTL755h68vnoWILN/Bq3Xq0HXyzbQv6DX7dw6dE/94AKYp7iZ7H2LFj8e577+GLFSTJ4Auw2uR3XjDzOOkLL1esoG54Aav4uX5AvPH4qlLV6mjerCk+W7bEyx9b4wQ5z5iYGEQ9eoRHUY8RExeDyIhIpE+fnjLwlhNK3FwRCMOOQxyo70+cgBmzZmPJp5+iZy8DZKpg2COe3nCk2qn7DFxtt3pbFHek1R6pacDaNvkt8po5e070fGMirpw+jhwFi9J5w8IIFuC2sIoyCvM2/vj+XXy7ZgXaDhihqUDMxe7cNQeDbMscVRkdgnyuVbc+7Qs7tm5B/8GvcyUUV55pINsA3erN9LKYINtud6K0e8aI/NeBdsKdm3AnxNL46yxpgulaGRm1MyODZQypLwo3XA4Wz+IiYEBxg1gJNjgzI0A2T+bEALb1/l5sPI7dfoCeFYvDJ8CXAWqa9dzHE3CT7zjApiDb5Yubj6Lx+4VreLvnazye0czKzG+nGAg4wKbSBb7WebUmoqOj0aVzZyz65BPqOfZs/JbEwtsDslvUgVk0YP5Wa8zCqJenrIJvmzmcnYTZ2tgetNNI6Z/4ik+aNg3M4z3fQDukANxSgigavd4hNXm5Q//sFxCAqtWqY9/efdi2fTt27tiOlm3aYfL7E1GiWFEKQJiUhMhu+bkSwM1fiWRWgm0+WDHuUblCShmKm0T0B05GkFCJ4IsBbZD9iUFlZzxrRh5wN+oJfjt9EUfOXsKhk+fpAFKxWAH0bFoLhXNn1xO1qeBafBYJ05xO3L4fhSMnz2Jwp5aeINsjNlt9zxPIGWCc3Ps9v+5F1ixZkTVbNkXerQBrA3irsclW6R/gwb17iMyQEV2Gve1ZD1uJy1aBk8Zom236LyzZ8+RH696DjElAeSwKy83usc1jS2UR7JI1AVqfabIOBYDzv6Bj0vgJE7Hl66/Rsk1bzJn5MXLmyM4luWQSY6y0YBECgoNRo8rL2PHjzxjevycDeIQV4gwiO6zikhPKBZoRwcagdjsQERaKFe8ORtu3PsKCkT2RM2NaDuDVMYLdD8Jov8hy/uodPHoaq12zwz8U7vhopCQn6WsSkRCm0GR1mat2hMOXAWQtF4AbyJq/sE0j4LoG/qBu3b5DS0AN7taWPz9lf9U44Qe9FPUU+UMYCBHycAKwWdy1AN8pNkCbOH65gULkrYq8PKN/AG5Fx2rb5KrMJwQQEAnisxZ7MG7eBd0gkww33DhxeD/NHJ6zkI9nkjJDnqgekftkWLgPp8gCQkLRcehYPLx/D6FpwiXItoC9kh1dshI2nyXbrQNuHx9ftGrdGqvXrkOn9u308Y+GuzCmqUblV7Djh59oX5BjuQipUGYXHVZ4vcMK622zr67nZIz2iyzEyeSNBvkLSzwB2URW+4zl9u1btOxN7/4DvOxh71xQDVLdEGcrcYJTfzafhoqUqYANyxagUec+Wi1hcgweGUMBtKhjrYJ0wl5TcE3CCbgzx2MeMJhsspDjEpbah7PUKtBWmWzxnmxHciJO7N2N8Mi0uH/jKh4/vId2fQYjTXAAqtas7Vk3W7DYHnHmvE943DXvizp/WcDExmazOVZqRybAolKVavjhu50UaHs4nm0k5Jrsliic8udH/vwFsHnLFjRp1PD5WW3y/plKDX1h4y53Ospz9RyApA7Uoz/agSL3M4E2nRd++x0D+/SCg5TZ81hUZxx7xiEBvggJSI9sGTPwoYHvk+LpNBPnK5Mn80dAkhd+9sWXtmer2jj6mGmOyWqssgJGn40Pn2uxk4+Lz37+/vhpyzoE7foGLXoPlTIXa+QwGW3Lfrpw4ihWzpyMriPHWQmfFTk5UmnYulOJ64MNFaHufQL8AwJRqarVF8SBBOC2xnebaeFZU+xz3GsCtPFvAe34y+cp+5zaQr4N8yOHte6wANkSbKvbTJAtgbYFtn8+c4XuX7NILrj8iWycy8pVkK2AbVJ/1srS64tJq3ZQJoduE4m11ORn6qRLWzwP6uUDBZUtOx1o3qQx9XR1aN8eS5YsQWTadMwjqErmZNP08rCEce4NXPN/TG8R303uo9pjiQkJNMszze7o44PgICJvVw6ogm3Pj9auxnZTYKaMBXwAVidl4e2yBn3WTznoptssL5oGuPk+terUxRujRuBh1CPUrlcfpUqXxrChQ/HyyxUwsG9fOinSn5fx2uxeM8cAm1woK8Jjt6WvlvZY8rwF8Ka6MP5sCRdPvEjRlKGiTpjnWFKePmCAldaJTML1uw9x/e4Dvj7E+Ru36XuyRIaFoHTBPKhaqgiGtm2EAMLSK4BaNTA9k1aRjzxZmtOJb/YeofvUqVzeMyZbA9DKexumW7LZcGDqtGlY8ukSJbYyFTZbyzyvg+1PPhyPem27IHfhtFr9dSuJkg6yk1Mxrv7qsnXlUrxSqx7CwtLoyWg8PLBqHzP6n92i2Oa8WevDBp8iaekp5Q/Iv6JFNWzUGMWLF8fAwYPRp3cvNGpQn7VlG8dRvVo1MWzse3j0JAZpQoO4goM70ykGEWfPmGwhqxPXIM0vRUYeHhqM+aP7oO/UhVj1HjE6Azl6lx4I9odPH3Ipu88LyMb1m0Puj0/e2hRQu1MYyHYnJ1OZnZBrk52jzhxCWPmaWjgCOUypavUQFpnGY5AiIF3E2u38/kfWF6q+bPOwhPzbkoFfefIUNUnoEN/GQLbFZstkZybQJvMQGbt8HEgh75PdcFIwTWJQOUgQwJqGBFheKYa13fB3uRBHEs48YwYn7AiROT57UcZzxQm2a+tGNGjfw1Cd6GyhGv9Kr0/Jt0EPypkBMoLmLvISju75EY8e3EOJchVpOJAcF2h7ZyFCFDzxsdgDcAuwrW7na7t27dCqZUt0aNuWAjHaitVYbbcD9WrV4H0hGmlCiaPEiuNmYIC7zgRAkGO+eaEGIPcKiBUZV+yTF5sXvLHZf3FRJbOpLT989y3dr8arrz73sW1MA7ldsNMUYHMHDNmXsMWXT5+g8dqRmbIaia6IkoGxz+zZs+fJ1hSNxbYqVag5B4SRbBnxQo4u5OAqs82AtpWszAduXD3zJ/IWKooZY/rhpQqVUKJ0aaqSo0BdLdckk3KpyWyV0lweGZdTeUbPcZ/Fm+epLJPaUqNWXYx7cySVNIen4eMjb9YWuWJJyGUEhXI2JFa7ebNmqF61Ko01fj5Wmyk1VHn2sxaq7OAKLItJNMG2zWfpoFRA+DP/xtrt2507+bzwChxqmT3NA6LM+LLikPWd9py061XuJB+DqC0FB5WUP3jAbD7r9PQQDd2G1plrUz3K3lvulH9ykTiDh5HQ0c3hRPdR47Bt5TLcvX4ZDocP0mXhoWvq3/IPMU8eYc/WjXh0/y6aduuHN2YvQ0BgkNVvuaPOYddcNMUka69yxBZDuIJX1HYuxvnqr9bBe2+Oon2B2Huq6SUAt4UPbAD3iy5KMxMJ0Z63L7wQ0I67cpGCWbH8ePkmzQxbL09WfUcFVItYQovRtvnOBNkG0N514TpKZcuIDJFpuMxcAdqKZJyV8VJK4fi4sGTnXoSFBKN04Xw8U6/KAKqxW6rriANs6RlkhhZ5W61KJYSHp0HHjh0xYsQI1Hy1lmI4PEM6Lr02Nl5MG4+nWTqD31q6nDt7Ft9++y1++uknJCclIZQMmHDQOpq5cufGe+PHIzAwyDqgGCwNgls9vlSbqo3bvARl8BD7iytSATfdqsnIhbfK2m4mUKtZuw6t9/j9Dz+gefPmSJchE/UQLlq4AIOHjcDsGdMZtpUJpNhvs/PgXjDCbAttOmGsZXibArIdbuw9fAz5cmRG+vA0jNkmVnP8UyCQxZc+a1m2bDk2frWZvifZhOMTExEeEoS6FUuidOG8aF3rFWRNn5bG6+gPNRXmWj4M83sLKO/YcxDlihdChnRp9VwDTN+qg2xe/ggqm22w3qTcWs2aNanTiIJhPIPNJsa1krWYhIaQhGfHjx6Gf2Aw8hQpIcNFVNZbBdky4zgBJ3YNLBXZ0bOWU78fQsPXWFISescd3nIe6JlyPVQiNouFI61MNKwJekmOpqWcYpNPjly5sWbdOowcMYLWNR3Qry9nqnkYBJUoA/Vq18Lg0W/ju59/RcuGdVkIq0zqJ5xNvI0IY0bGuCteaNnhGIDJnSUDxvV6DUNnf4Ylb/Sh17/3xHnkzZQe6dNwBx1hup88gCNN+ue650dO8JJgAkQ9usqcBgHhSLx3Er75qhsgmyhQfOjOUeePIHs5ArSF0cGM8O9XL0G1Bk2R4aUSyi85qFPRRUN3gB3f/YBypV5CeiK1jn6kSaIFwFXB9u3oWGQgcctxiQqjzaTjIpu4AN50EhVPkcSb+pCEgeQWEseBU2Ot/ZxOxCcmwZXiq22XIB9uBPn70hJkz5rlScZ44jRNbdGlhpYhRt77+wcgU848eiZ8ldlW/kZdWI4Ny8KR43oKkO+l0pg1ZgCKlakAH4cFrtWEbDQfBx2aPZOhURbb3E73dVBmokbNmti+cyca1qvrGavtcFOnE+0Lu3+hfYH1PcXrLBufYo15mb80a4sz9+qy749TyJstE9JH8HmAdM7Yx88dp63Lax3YtmMn4uIT0KJpY+9/lMpg97zZbb/buROly5RFunTpPRwp2u+47UA2Z7hUFZrbANssfQT93LhjT5w8vBdVGrWSZZqY8I/lX6FqBfLoLJOPzmEknwsF4m7ToavYE3IaFDHTXDbOmWrxKuO0yfklxFP2+tu1K1C0dHmULFkKExd+ZmQIVxlsngFdZAlXCoJ42FzPANoaUyn/SWVRjvdXhA81atfBW6OG4uddP6JR02bKLwvnkQ1IUVlBEDYwAENeH4K5CxbgjVEjvbLa+w4cQN7cuZA+bVpJmhBW2+Hye26gTfPp8IvdtuMbxMXHoUUT0hdU4K2AasGC23xPW6oHIBfvrd/d8e13dF7IEB4CqIy2ZhSwixQVWRgWEbaaYnFrZX8VY0K2ED4hw42w0FA8fvxYOxcdSCtjtTqOK+jblu3GP7No9j63mWloCLeNKOXkdqBBu67UNlvx0URcOXsSIWHhqFCrATLnzIM92zfh9rXLaNt/JI78/B0yZM6GOm06wM/XXzFfOchWSxlDX9Q+o66mRJzdQyXznzKGVa9dB2+PGobdu35EwybNrIOqQzzHPNI4Ub9/geXQgf3ImTsPHV//Spz2i0nHr12QQJtc/IxDJ6lXkMROB8gfTB1UM9vQAhjUwCTAmcrzePIzhdUm++27fBMdKhSjJbysBGksdltbec1sVnvWF4u278Hp63fw0aDOVpkctbSXdsdtZOMSYLPAX/GMSxQvhg3r1uCtd97F5s1fYcLESQgNDeXee0tYonqv+K2x7TQ6iPaUjtN7Hx+Hn3/+GTt27MCZ06epBKhOnTro2rkzi9UVR3IAO775Bq1btcLEiRNRslRp7UeEd4eBOyEfEZGefNLl8nGjXWt3SryRQEMexwQsVlyHkjNWilCsfRzImj0HcuXOg19/+QVNmzen28kE2advP8yc8TGmz5iFEUOHcGJayEj5vRbxF4IxlxeqQx/y6eDRY5g0bxltu5sXTGUJ1sgwE/sEjucE2p3rV0WnVwqxI7rdKNt1NG7ej8KCMf0QSBlrwxNqAmzFI6ox2yr4tsk4/vPhP9GN1M62kYxTgK19Vkqg0e2iHBpTdFy/fRur163HunXrvJau0mTiom66EZf95PETZM2VD11GMMm4uso4bi9ycQ9jQ0zovOWpCdDk/JbKQmKNiFf1v1rcNpJykRyNLE4er0rjWPn1+Pr5Y8bMmRj7xhuYNWcuBg/oz66P7ETBNpAzRw7kyZUTP+87hJaN6uttXCwCGEltJmOQ3G4+FpPzcIqoWf53KUCFogWw7oe92PXbSYQE+GHK519TQ3PDhMHyRpM4befzAm0lPpv8ZvLNw/R8fHJUgSM5XjcXlPGfGGK+wRFyclZLI8Y+eYSw8AiPUkGPoqKoo5M4xvbs3YeubVta16epI1QLR8gYGSggbZHnuZQluSTw5qvlRORycTovWABelYhnCQrA9acxKBBqyeBFR6JJ78g+kWG4cfehxdZ4mBrsJV26dJQVyZ47zwsbBOR3CbNg+51oAap9Kq6Pj5nCFSoS/gngTBJWVni1PqLu30O69BlYSTDOZicLVZPIYssNJM2YTIXRJmvnzp3x+pAhaFivnhWDrbDaJMyC9IU9+w6iZSMCxoX6wppZPGcrMxGaF6m4shw6fgbvf7qKtr9NH78tt6dER8HnOYE2S4TGzo88j3cmvE8VGPVJrHmQOi49B1Uq5whvX1o3ee8ve9C+U2dts/AjmHdHB9m6Y12q1JRXymZzVpsA5UIvlURkxky4cuYEsucvQscrMuKo4zQNM+DnT5wzJKO46vCRAEQ41/glCeBL/04pqSRZbC4fJ63jq0Uf49yfR9CgbVe8UuNV1GrQiMZoa3WPhTRcAdiesdgiaZmeYPZ5up86h1lzgX5N1jYbP8+znr9sB+x99hw5qMG/f+8vaNy0meUcUHrC8zgI6tSpizmz58A9ciRXjuis9qHDv2Hyhx9TG2njqs+YY1fEaT8n0GZl7pjCh4zX74yfyPpCrRoIolnGLZvbukmc5PLCcHsCbPZeWt0pbuzZdwDdXmsJhyl1VyXhKsBW51AFfEtbTNpsgv3mXiTpjmTP2t/fnzqCzcWuHahtRQXd6j66B+fFF82eF6JszmAzMKxaxkyRJLYRXNZ1xNv0XEhyM1YL3YmqDZojQ7YcCAoKRva8+TwcU1a4heXAcqrljVUuybxLijNI2H5WmgDhQbL6TbZspC/kxv5ff6FAW45lRt8SIRUym4cOCJ65/HbkMD76YColzT5bvU5uT/zXgPbNK5Q5picPoEfpgohLTmEJq8SiGFL0oy2jLQC2kvxMjc/mMdjk85Wox7j7JAbl82WjZb2sBGl8P5rUjJXvsmrLujBvy0+4ePs+BdmkJAGVk/O6s5Z0XPe1OBQWgmT5pSUpOENKy+bw/kWeU3BgID6e9iF+3LUbHdq1Q/UaNdC7d29aI1Tr+lb7kPdN7zl2pSPYcuP6NezcuZPW8SYJUapUroxePXugYMGCekIO1Sp0A/Xq1EWZMmXQp09fjBg5EhUqVLR+S2QQZAhZ8WgpJotlE/PYa8sTp/6k+fMCHonhRwXcIjma/p3F+ImBsmz5Cjh4YL/0ytNhzeHA4CFDMHzYUKzbsAmtmjfl1+ENYBOQ6dYTpMnzSkG+XNkR4O+H+tVe4cwv2ZwCxEWn3gHU649+JD2g5LkNbd8EMXHxCAxSUyQo3k+NuVaesgKS5MAvV6v+N3l/8cYt3L7/ABVLv8TasVJL2JKKk79TgbXTANkMjKc4nBg+cgymTJlCk/tpsdlGLKYKkKVkXLDaKcCCye+getM2KFCyHJJSUuR3au11reY0Z7JN2bh6zyzDX7S81EdGYWw06dTT1oP6by4CTFiOJ2iARYBtMSCwRCQOvD95Mt55+23MnDMXQwb252oLfkwn8HL5sth/+Ah9fg6aPZAZEmzeIW3fyRMTOjW0w5I2k2RVfDyjyYq4Z5e+d+Ctbq1ovPbyt/ojwM8XdcsXt9omOfYLxGn/dpIz2rw5+2QoRuXiDt9gOIJ4eI0EmJbLLSBdNkTm6Kz5mERN2lLV69IyHqoxTNaoRw+ROX1aXL58Bbfv3EXF0iXlQxAGo4dlIuQYqi0n2Gab2GoVaMvRid5LbpCqMdhuN7IHBeHyk2jkzxTpUbubp9tHxrAQ3H7wSGPZ6bNTjEfS2tOnS4d7914sGZ1Yoh8/wvLp4zFg4iz98lWDzq7ihFKZgjqKhPFIL5cB59qtOuL3PT8gsnotGQpCm1sKA0eC7bQYSg7aabIh+9ht0R5ImR9ipF67cRPZsmSyzUD+crky2HfoiAJihSRRlY+rs6z0KMt9aB9gf2x7//JmzwJ/Pz/Uf6XMX06IRuWycmh34vVB/REbE4tALZmZzoqllnH8eZYrly/jzp07KFe+gqeRLUZSFXRzyah0ZwpQzf9SONppf+TPX7DaQkIe4B+A5dPG4425K+Dj8mMstvBr0Mzj4A5GNvb5cGWH8EHxu6WM7BbIlaW8NJDtwKM7N7Fr+wacO3oYo2d+imp1G6HH66Ph5/JhWcUF683l5iz2WrDXomazJRdngEAFB+K5pT5/KKevOZTEFQkVpLZdjOuK9f8i9r64R2QpW64Cjhw8YLeD/QF1opouBDSUKFECR37/DWVKlVLaJNs5b548NDdA3do1+XdcmfICcdpM3cGANhnrhg7oi5jYGAT5swS37GakGGy1Ip/TQDZ3uZugXLupbly6cg23795HxVLFaJy+eY8Ua9+ysQS4lsDa6VmhRTrsyGhHfslissX98eoUU6XgXhwx4lvrSjyTpr3IwpwDwlZQ5zKrfbOa75YNLsGt/H3WhsPSRMjjklwd/O7J+6kCbBgqEa1EniP1cAy1X/HTt7A3B8sm2C5N+8J+T0fiM8D2i9xUQv75B/jj1dp1/3Kc9nMD7eSnj4GEOCVG24GWxfPJxGZiG/3XANUa+FaAtmSzBeAmyTN4sjLBWh+5doces3yBHJLRFkBbZhDn4FmA7CmrdiA2MQnTBnZiIFsAcKfLiGs1H7flUWMPVLzya5NZhVk0JmlSNapXRbVqVbB123a89lob9OvXHw0aNqSeO0FseQ6o9p/YZOim9fpmzpxJMx7Wr18f8+fNRZowG6ZVG2yUg8CNAH9/LPl0MTp26ozNX3+tNF5+DWLgVWqhWnHW6oRstknrk7QR1QauOBP0sZ/JSewBttXVy5Qrj03r1+JpdDRCg4OtdGYOJz78cDpat2qJSq+8jCwZ01vZp2jPYwDbouwVqEaetQK2I8LDsW7+B9b9E/GviUTa+ezFTeJ+SJkmJW6vY4MaNiOIl5hrdSc+2Av1hrdM47QE19GT9E8qlnpJyzOgxmNLuTgH154gm8nIZ86Zh5dffhmFChfhknGdcdbZbFaaS7wmKZLxA3t2ISA4BAUpyGbbtbhsCsqtGG2WIM0ySFSbV8jTyD0QKmnmTLFM6FTHR4cDs98ZgfcWfKbd45inT2kmXs86mn9/kQM6d5XKRB5Caiky7CtgW7R5MvlMmDgRAwYMwJ5f96HyKxV52AM7doVy5bB6w1eIiY1HcABhETiotn0Vzhp+lwhYEWBbGChKcdw0IUFoUb0Cvj90DKvHD5HlxoSh5Y55/FzXf+/hE54ITSwOOCPz8XuTAmdwRs8nxwefJ5f/xMMHl1CgTjv+l3wccpCy9o+pjNqUnj159AiF8ubG/gPM0KxQpoRBAcjAL3WL5QRRym6ZbLZktOk2xSDhISnkjQyjkH8DZA8OxIXH0RaI5ky2yEBOVgIAEmmMI2drVGZbzvxuZM6cCdevX9PGYQ04mrOH8iH6yWPKPns2UusnYp8+hSsgyAppUQ/P46wpOOJsgqizSk739193I22GTChQpLiWGI04zyiwEuBKue8MZIskaKIv60nRyM+TUl9r163H0MEDuXOXG7oUIDtQoWwZrN64GTExcQgK9FNnKese6P5r6+YII9lbPBRfIsJCsPbDNz2dNc/pgGV9SP/tjm1fM/ayk6GmngCLJLcLCQ01m4H804MH99PXsuXK6T8jGGsJsq0kqHK+lvsJ28YynFmUllW+S7Da5G/ShEegWZc++Pnr9ajZoj1LKsoX1i5YojNScz6FstkiDM/T0aMa6qphTvrMg1vXcOi7rYhMl4EyaMVKlUXHvkPg7+tC+hIlZNZwWuqLJ2Az4671zxYAiCb3NSSYAnF1aibPkSS+JWMB3eRwUFtM7TOW00hRivCr0RxK6lynASkOaJ7T4FdJmDLly+OrDWsRGxtD8/GoY4Vly5mLJccV33Xp0oWGPy5etAgZiT2lsNoREeFY/fkyzUlJx4fnBBesLzAwzSpsuNGxTUt+HslKmVZPQM3CNk0G2wDgyvcq+73/0G/0XcWXingy2sYNdatkhgq8BWtNlbYsAym1ncTNYwHN3NZUzo3MW3EiPMh4AsZz1iXlprNGayie21JZ1CFC2PTSeSb6OM+pwcZfWocX0U+j4RcYSFlr00GaWiNVAbbej/W+7DScWvwRaPfDhGMqptBugrCjHEDpsuXx9YZ1iI2OQZBU9noubgNsv8hCKm4s+Wylx/ZkWnL1+Zbny/BBDvrkES+jJUpnkXrVRKIt6le7eA1rtt3p52JltuirL32l7/l3bPVln8XxxDFkUjMfHLp4E/kyRiJ9RKiUiAsZuAWgLZA9be1OCgAm9H6NsdgEWEggbtUclgDomYsaPyL1hko8CWNcGzdsiHVr1uDC+fNo2rgx5s6ejSmT30fDBvVx68Z1m8FQX58+fYKlS5agaZMmVI7+wQcfYNHChWjRrCkH2cZgo5YYMKQ0Z86cQYOGjTB69Bjkzp2b1hTU2PIXa2eeoNp85f+dPnUco/r3xNnTp3j9VuV0eRIet9xuJT6y6rwSD1V5Gqd99LffDKmZGz4uF9588018PHOWxuCqA6ZVI9ryQOpA11jp/eBPITnh+e4FAeQKsBUSbuoAovWueRsT8m5RRk6p3S7zCWh5A4Qyg7dnWeedA+3fj6FA7hxIR+o4EhBNgbQqD/d5LpC9Zcc3OHXmDPoPHGjDYntKxkVcNWGpkxTJOJHxFixRBh2HjFGYayMum//9d19+gjmDO+LB7Zvs75OtJGpCXi5AuFVP1e3RhlQcxZgz3gL5/ukyZcGd69fk4HzlwjkM69wSU8bwzJR/qeF7OpVUZlA1okS84ckTJ9C/ZzdaL9T8Tvt7hwPjxo3D9I8/5sex2maF8mVpXzjyx59czqYYAR4yNz323orrFxSTcOZww8LhQJtalbDp54OKQ9Qy/t3xKnj2vty8R1haL1/GP0byvVNylGPPkQDQZJokzS9NRsTeu8qes/LsyX77v9lEE58ppgw9SmxcHGUH9x84iPx58yBdJPG2G0wHN8bYi8Ugs1exu2CddRm5LDnnYQCZx7OOky0wgDLaAmBbZb50VjtNUCAePnqCjz9bj7o9huP6zVvKnMKO+1LRovjjjz8tSajMJaBjNEuyZ8lG02bKgjJVvCfDunX5PGYO7ogvJo+xbeaqQlO0V9k3CatctxH2fbeNp5kU/yn3St5X/TinTpzAwN7dcfrUKaUv6/e4cuXK2Ltvr52mkC4Vy5bmfeEY26CC1VQXG0NencieY3luB6ysT286UpW55lmnqnUmNypWKI+9e39N9SqJYz5vvvxImza9x36mSk57VUCXwo1YMk8OfOUqZdeMMa5QvRbqtemINXM/xPbPFiIlPk7J/s1KbYnVn6wuaw2gqw9+Wv0pnRfiHtxBoK8P/JCMGyePYseSmfT9rrXLkb9QEdRu0gIlS5elZZvCAvwQ7OuDIF8f+jd0dTkQ4HLA34es5Dcc/Dcc/D3ZDvg73fBzuHF43y+oU6MK6tSoiqGD+qN965Zo27oF2rVqiQ6vtcGwwQMxevjrdB3x+mB0bNcG7dqwfV5r1QKD+vXBRx9Mxnfbt+LuzRs0ERuJF3eRxG2itBh9ZZ+FZP3cqRMY1Ls7zp8+xdl2bh44Ul8FeCHPhpARpC/8+TsDlZ6NQ2dDPVY+1+cvUABTp05Fl27dcP78Bd2eko4gwzFEQPJzLDSZJnUq8vFPsZ0tkM3BOFE/pSRSYCxWykYTe4zU7pavyj5J1ivbN5EU7ca+w78zG4nkG5HHUdYUspIkbUlwkBhyejz2mbLs/NXhJucktpFysux6pP1vjNsCDxQoUIDO/bIf6x7TVJdP5s1GhxaNcevmDaUD6/1V3Sz7rNLXReiVDIlQSuiq4RJWvwauXzyPN7u3wqy3hylKELEyFYjXVfkdFVBrTDYsgC3fO4Bzp0/gzYE9cf4MsRE8F4+xjP+t+iUB2rQvHOV94V9YvPUjYrv+84z2kygen61mD7cWyWyr0nAtNluP12YltkTtbJukaJy1PnnzHornzGTFYXOwoiY1Y2DahY83fI8ncQkY36sNB+IcuDh9cObqTfQaPwNt6r+KQV3a6KWenudWiwlaeLGoVJGwFVayq5DgIAwdMhiDBvbH11u3YfSo0ZSZnTZtGho3bowMGTMiU6ZM1Bi5fv06bt64gSNHjuDw4cNUOkf2Wbt2DZVlychUzRhQ3pvbhesaJCEOk/KTeqzVqlXDtq1bMWjwYIu48OBInvsu2Gyzsth+v30rTeTz/Y4tyFOgoFIeQsRFMM+2TKzCmRPhOSfDVYFCheFyuXDy5Am8XKmSFSvI13Lly2Pa9GlUNpoxfTopIbd0Jop+jWffNFO1scRpgjoUrAgrCfJcS0KcAU54A5AvBojnE5cmCxffKcCKgSPLaWB9xz4fO3MRJYoUtJGK6wnQUgPZf5w4iZmz5yI+IQEL5i9Ar379vErGmcybsdFaKS8CuJPd+Pjt4Wjbbzgy5ylAJeMpNnHZYr1y8k+aBCvq/l0ERf4/4t4DTIri+xo+kzZncs4sOUkSBUWRpKhgAETEgAICJsSsKCiCqCiKCUWJIiBmFETAgKiIiiIZJKcls3lmZ77nVuqq7p7dwZ//9yuo7Z6eno4V7rnh3EpOAhxt0lAkepoHKQc6WvyneLdKWBfbe1x3IwLxVjocSllBJT3Tcn86lxZvBTtYWlG9IxkfNRfyL7/4jPWFr774DNmNGgtQbdNki0r5OomNfNW33+GSi7soP78mjRqxvvD3lm24sGN7MyZbgmvZdg3BSFi3SRBgcdv8eSlfX1hW7YDfz9LPVUhPMeJZKY1jLOVQTpT0R0xTXgyPn/LtSs8ODjiJGI0AqC85C0mV6zlANl1rICERRUWFiCTF29IdFTCXxk2bN6NlsybqgRYWFTErlwWCdaUkEZeUsElfKmXkw99XWIgp+/9B58R0XJ6YZQBB+aJUjLFhVLGs4ESwdqSgUAPqIi5Rgm4hlLVtWAu/btqG9Zu2M2bxw0ePMV4KHWzXqFEd+/ftsxHViEcq/hh9RdsWCASQnxc9TSFxA1ChPPdmK9fHWP5J9S9NOVq/WRvUb9LC9iyEpcwhiFh+f8uWir6w9DNkN27kQpYGJCUloSRUwlKgEVCzlyaNGvK+sHUbLuwgXLvPaRKzlC0Oi3VZJUagzQbLqBJ1dElbD5CxDypdOnfBwkWLGB+LYlaXY48YbEiwb96ihTGV6fvE6j6+Z8cOPHLPSPS8qh8G3HIH6y/0PZ+ftbRscuoUBI03jh6L75d9hq8XvodOPa/C2dOnUEOk5zO8F9RNWm62ezdtQO7pE/hy1nS0vqArA2gU+93uwouRlhiPkY+M54BVpvbS4q31zwRo5bpMOWalH6MwvAP4dtU3+OH773EsJ4fx2tD4Qnw7Tzw8FpUqVuRZTfSOr2u25LsRz/Do8ePYtesf/PnXRny5dCkOHDzI5K3OXS5i5KLVatRQilMR9cPaH/WBYHERln/5ORo1pmck+ootosHeOnUwRb+jvrB182Z07HRh6W3SNkEp/gVxX3Sstyn382234d2Z76AKpbdS9yoHQsuPN1ZyPu4armVgsLuIM8DN9/EIC7cFYDXZ10gPpmsDLYu2DEuiW9q4bSdaZteLIsvpmkq9co4oy0MwjG3/7MXQ+8fh+qt6Y+Stg0XuQ/EoxTNR/E3sMvgzuvbafvhwyRI82qSJknt1rF3a0/vzj9+YjHTs6BFUqlzFeO/672R/1TfKsClh7LWlGuYZJASDC9vX8iokQkqeBSc9M0ul6pOeSHJsL6tYkNAG8jWQDWPe8uDbr75gMe2rl32B+g053xHbx0WxoL6wbW7QyOoLHTpdgP+6uARaqfJ/ArTDuacZu7d8Uo54BN1NXGMM18G3BbatuGz9u51HT+Kl5T9h1ebdSIwL4JVbrsD2w8dxYePanOjMBrLl55KIB0+8+zHi4wMMZPN4bEGKJtJ55Zw8A7/Pj8079xjkUqVpmlnMtuYewomGdHECGti2BmZioe575ZXo1aMHYxY+fPgwNv79N1avXo1du3Yxgah27dqoUqUKG5QffOABtk0BZvlyowkEpW1n5DE18f23q9j1fP/DGhw6dMgaa6OHqMVQ3K098niDho7A998sR+dLuwuvbhk3aQ72drCtE14RozARHGzftg3PThiPubPeRbny5XHlVVdj7AMPIDE+HqNGjcLrb87Ak48/ymd6BsAEUGVuLzJNjD7EWWm++HOw5dhmtxeOLa1RqIjvYwfVskQF13Zruj0m2wLV23bvx6Q33sPXP/zCiEPefPYxbN21G507tLGBapvrOEvnJazgNpC9becujH3wYaZ0eXnaNAZWOBZwuozLmG0dYOsu40sXz0eD5m1QtR6BbCtuW2ckV9bwcATXPjgJp3MOI6NKDU5GpXkxqFsXcZRcAyvmNiXoy1RwYoLQQIAOhGrWb4TVny3G5dcNYo+7ctUaeGPJMj6BqFbsagQwuTiifGd2HZNgw0pDEcHQ4SOx8utluKx7D0PI1OOEZDowute7774btw+9HZdcfJFynQ3ExTESqK07duLJSS/gndnzUL5cFvr27o6HRg1DQhwxd3MvDq5R19sQpdPhXAUsVovl69Zybov1Phe2xdKf/sCQHp1FJgDRT0qKOWsseVaUUg4fO+UyIfK27U0qB29KBat/CBAqK5WEcjVEXm293QADxk6APy6ejbd7du7A+2++jJ++W8WE41rVq2Hbtu3oPJi7nMsUe0SWZL0wfZjmx2ZA2xCkgZOhICNy2lNciEi8ns9bWiQ8Fqu2EZ8tlD0UMy8s8mcKipCV4BcpwniqMOZCzpYluLBJXSxYswEzHh6BQ7lFqFe/vmEZYaDGw5nHCwsL4I8jJYXWP2xWDK7A4AKUDJkhi3Pjtp2QnJFlvBZaL1elOh5852MuGkbR00ogJgV/Fp/LvLa4qeK958bjxtEPICMzU+tPAkzpAFxTiN0ybCS+XUF9oaf5nZzKxOemzZrh702b0ap5U+2qeaH5sW7tmti6fSfGPTcV78z9AOXLZaJfz254aORQxFNfiNJ3bRoS7cQxToTk8h/DvMAUK67FZoo6h9KsWRM89vif6vP27dsx5bkp+OabFYxcjcgUt2/bivM7XRBdKI/RfZwAqN/vYxYmmVuXq+lkfKQwV2n6BO6o5UPX3lezvntgzy6sWboE+3ftYN+f3/0KVK/XEGu+/AShYBB9hgzHD0uXYOsfvyKzfEWMnvACPp45HW07X4r6TZsjOTEJvt59HIRmzC1cYw1nLuF6HLYA1vw7Usjl4/vvv8PKld+wDC3VqlXFpV0vxrMTnkRlytihWybZDYa4RpmtGwhGk/CtNFBVymWgSvnzcEGHdmr+zTl2HN9+/z2emzwJ+/fvR5MmTdC9R09ccGFnrhyHB3eOHI3ly75iqUzp+pUXk/behKpLa1gW8qBFXCCOy0jbt2HyM5aMdEWfq3DP/WNZ2KCloHaCbfFC1TGrVq3GQhXHPvgg5s56TymYeZihXZOMmNIaRRxA2x6DLZ+/ZTE2wbm0ftv6qXa8rf/sxaS35mHF2vWMJ+rNp+7D1l170LlNMxv7v/kuHTKZMm5YaVSPHs1hcvymrdvZNfJpRM5jtORyp1JCiPvq0K49npvygiYrxKIN5PPJlGmv4/ChQ6hRu46Vkcd2CL4qJAhNocbFXRl/bAJuq0WZhgPpE1u1Rk28vmSZ6c0lY7TPAS/oBhNp3Tbisj2m0/YNQ0dgzcqv0aUbKRH1A6k/6qME54bSWcwLlMll545teH7iBMyf/S7LoNO7z1UYfd/9yuho/CjGovpjlPuX81ssKb5it2jnneXu3NZTM77XY7EVWZnwQdIt1qbF26u2UWD5kLc/wdmCQvTv1BzfbdmDUe9+jiOnc9GwemUBtO1WbB9yC4MY9tJsXNGpDQb16KxZsgXIFm64F7ZrhTnP1URlikXRgLaRP8+uuYz6ALXOzxq4YCnXZzURJ53dsCGrZFm2Ol4pRVdXGYKhdm41+NunVOva6U9xMIRnJz2LOXPmGo0mZpwtQY15x9r3mvssgMTkFHS/sp+l9ZMrLmBbZxS0js+312+YjfXrfsEfv63HoMFDEA6XYOoLz7NjPfHE48zN8LnJzzHrRxypstnxve5WbSEEWsyR8lnpVVPR0wAdTWiT9xostsX4m5rv0sC1I42EYx8ve2/XjXwIp8/mYtDVvbF67a+4/eEJOJxzHNn16/Fc8AxECculI62XzwG4N27egrEPPoJ3Zs5EpSpV0LRFK1SoWEljExdLCbJdUnRJIHRo/z506t4H/oREZd2W8dkytZcVr80/+wJxDGS7WS+Ve6z2SJSQINqGbkXh2mQROygUAuxREKu03491336NjhdfhvIVK6r0ckaaE3YIC27LNmyXS2LqHzrBhnacpOQUXNn3GjEUiPautXUl74junpmZhfr162Pd+vVod14b1S4aZTfEz+t+w6+//4FbBvVnqfyee/Ut9tyeun+U1sZpvJXKPneljona+EO+sGUjTJi5mAFt6wb4/pGifHiSSmfhP5TjRhTF54Dw0e3w16K4cxsHgSZrndi8FokZmYiv25DNAcUhXo/t3IYta/ah19XX4pERNyM/9wyuvq4/ln/xGSZOnIjjx48ju2ED1f5TU1LY3CFDgzgC4Jks6NwJ8QEEWT5kbR7yetAiNQ0PoDbSSzyIBPl4JhVO/AVxkOmjMV6a8EL8XYYpr7YvjBJ/GNfUqIa5m3dhZNsm8AZK4A2EEI4LIVwcRCQuiHAwgOY1K+PxOZ8z4b5ulQqmOyWlQyNB0xtG5ws74btvV+PS7j20EUonmLHyFnMXPb6kz5f1G4g1Sz9Cz0FDmSJTpW3SRzytgcvh2Xj1pRRK9XJ43x4Wt6YblqxQCqeXCfWFK66+RsuvLM4tr0H8jsKc9u7di1YtmjnnDACNGtTHT+t/x69//IlbBl6LkpIQJr/2NlPaPHmfjW39XMF0LF5MCSL9Xamu46U8QJsAafw2ynaKC65YsSIOHjzEGOkp7/iZ06cxYOAN+Pbb1Rh95wgcOXIEDbMbinM4yUsNS7Y+DWsgmz6369gJk6fPQLkKlVQYqrpwk29RjLeWEirsibCc8rXq1MMdDzypWgP1JeIFSLv+RsTFxSOrQiVcP3QkAmQMEe34jjGPqlhqgylcuK1KwG2k51Kx17ROPTOMM6dOYukXn2PF18tRXFSMi7pciDuGDEZ2g3psXwbq6B0V52sg28XLQVOyqfuX87cizjJ5UWhZMTMV1115Oa69qg+bqv7evAWffb4Uz095jpHTDho8GHXr1ce1115rGiuk0llv8voE6NI0Gmgy0g2DhzAPmWlTX2Dv46HHHjeAmpFiVSlYJCmnPF5DxMfFM5JJYvm35EwXoE7jVBkKWOaCbYBsy6ItB3/FVcHc5iw3bQbSmQXAsnSrfiKOV1xcjOvuehxn8vJxQ6+LsfrXDbj98edx+NgJhhdU6JNtcFPKZN3YJsL6KOSPe4L50LltS8yZOgGVyMIv5g0rE5EgFmWyixWjz7oJc6nWPXKs8ccuR+vebTLtWs06dSx0LWQWBQUMhb+MUzZTgBljsLJnCyJI8WP+GolXg1u2hbGep+YTMhlxbVjXV5pd13i8Jgu5Idd5rBht8diTU1KY9wwfFi0FgHUs9+FUbpPfU18gcsANv6/HgBtvYn1h+ku8LzzwyGO238SGtuUIWpaSgeRb8rb5z4B2JO8Mdx1X1mzbQKDnpdXTcwmgLa3cdsAtP7/8xRpsP3wM340fjha1q2DzgRx0fPhVdvjsmuQ6HjDirBl42H0ID7z1AZ645Rp0atHIsnbbQLYE34zR1JZz2LB6yonQfn9RH4r1FpSl2Aa2dXWyZAKUk+qqVatYrGLXrl1Z59TnNWVSkMfRH7b66NYK+R86B6UQuvHGwcjMyuKXq6773MC2/aMzxs7WIEWHKw1sS4DhcTlu3XoNsHL5MjRv2QpTXprGKPSrVauOqS8SGdq1aNy4MXr16snyMl51RW9uyZbg3W7V1gG49o4tF3K5TSA5FqdtuR67FooXYnH+xg2XCnIU+LaTnun7ivUXZ87Bll178Mun89CiaTb+3rYT5/W8np0pu0F9C0ArC7aeBkxL6yXA9u8b/sTj457Cu+++i3KUnicCVKlazQDZyqItLNyW27iwVguwnXPkCKY8fDceeWUW+w0H1GFl6VYgW4BvI7WXcR4Zsy+AgAIFApC6dT+Bc/jrFmBHThQynUyE53n99YdV6NG3v3KBkpYDO/ux0YVKs2rbOoGO1xXBhmjfbrolS+Ej+oueBlC4xI8cNQpPjhuHd99+SzGKN6hfH18uX4HWLZpj+vOTmMKhetUqmPLqm7j+yl5o2qCuLYWRvDB9HLO3NevGq1XIwsFjJ8zOK6+8KB8oA2gfzKHUH7ILiGlddIzw2YPw0tgr0snxfiqfIbcep9RqjpM7fkdGrfoMYAcZ0C5BVs26WPPRLBScysGeXdsx54uVaNu6FS65tBsG9ruSHYLi4ThXAReUyGOJ2qAVfiQUvYJYM97vQyEpfVSWC96GKsbFIVRYgiBKFIkftWPxqkVqNgGkRCNkT9MXZtXrD+P8zEx8sHc/TuYVoBzxjwRD8BaH4I0LwRcMIhIMwhMIoVe7plj6/S/o2/NSDqy1uEW5fkWvXpgy9WVm9bLi3Tjgl+CE2gEBnBIJskV2htadLkJ26/YoCRXD6wuI9i8EKjXquRNSxVKanNeBPUtLAWtZspViVpxTzROadVsOmkrm1mT5mjVrYvOmv6Oeu2G9uvhyxSq0bt4Ur01+isXE1qhSCc+99g6u79MdTevVkY3LqrrL1f9QKE7bUybQLkVFZ4BsTVLUQbbqo+ZPaa5btmwZjh07xlJ7/vDDGjRr0QKb/t6E8ymkRPQFfS51O70mikR1H69Stbp6h5w0yZgtuZWKsYpzsjPuGi3AtvBg4hdhKR8TMtKRmZFuCON6vKiVcsuyUiv3by1mlLmH6yDcA+SePY0vP/uUhceRNf6KXj3x2tQpyExLVTHCnlCBGVdLFlRd26dbWo0naJcL7ek2LaW2vfo8XjTPboDmje5F+P778Muv6zH52YlISUnFw488igqVKnOPJsnsL7hqDAI71bCc77Re/Yb4RshIz02dxog+q1arhldeehFXX3OtCleSil5dqeyxp9EUt3j7Hbdjxjsz8fT4J7mMpCvhdNlNKLlLKxQeZIJsNUBoz1pzIadaEuS/Iw8SA3hrebXF76bOWoKte/bjp7cnoUWD2th0WSe0HUI5wYHsahUQIcWYm2xmVMuCzTluuAJBWt6rVy7PjXG6R4xmvXZ/CPr31jM335/J7+Lop5aDkphP5dhp6jv4uGqlHTaOK37L2pVUsGjKVeaYEnECbu7BpB1fhBDFghl0YGyPyfZKNnIJ/DXQawfV+mPVjxFtn7r1GzDvQeoLk16cxsaBqtWq47WXX8TV/a5l4Uqwnc/x1rSbk0/RrghxKyQnxAKiYw5UDuefgcdPbOAczErSMlbpM8tvbZGY2YnROOGZIEYLEAkaXxIhWsjrwXOffo87e3ZCy/o14AkE0KROdfRozR9QQkIidwf3E2gOILe4BI+++zGeX/QVZj02Ep1aNmHbLVDtBNnMCmjkHdas2a7W7WhF7/DyM6+Gc6oxaNubP5hr0QsvvMDcyfv3749+/fph4A2D8PwLLzJ377z8fBtvt01odqnUIQ4dPopXXp2OK6+6Evn5+eg/YIDlOadrp2IE2wqUOEcLax87GBcCl7UuOqxdi6uOb7qsHD18mFmrJ0x6jrUp2n7v/WNRvUYNTJo8iR33hhtuwPz3F9hAaxQQq6dv0J4jt1DpZGne2NJXEIGGcMfm1UqlpVedb4BLDBrpWZRKYOOZV9/B6FtuQItmjdlxmzZqhB5dO6u+oO/PQbds335EVDvn333x5TI89fREzJo9m4NspoXT82LrVmt9qVmyNZfxt6ZMwB0PP81iaHUrtrReG5ZsPc2XtJjrLsL6MoZqWdk1sjSX2qTt+WjZqQtOnzxh5uzWFUOqrZoa53MtSpvt2G5v/84J196nCGgUFhXixMmTqk8fPnyE9YUXnp3ArPXU1h66eyRqVquCiS+/YQh+iiTNTcHjAN7WzEhsy8fPaLG9cjyJIU6bXMcVdleAwQsUnYIvsy5TeHJiQI3dVbv/5JotkdXsIkaOR8qZYmHV9iWkoEqdbCx68yVcPXgo6jZqytpAxwu7KMVhfGKi4cVBsXnrtu620kOyeUmSC/rQqnI5/JxzHF6fR2S1kBZv63lwgZe3/5BUJEWAoFQelYRREhI1WIJwqEQsw7ixVg3M/GsHwsVkyebWbKolcj0YxDXnt8LiVT8Jch5LmJQWbWbtrl0L+/btYwKm0s/JpZ2gypYTmNzn1638Cqs+4vmgdRZYoynYBCP12iUHS5RSt0lzZtW2oKwp3JntXc419pAjTSzU2n+NGjWwb99+m3LIKoeO8L7w4oRHVZjAQyNvR82qVTBx2gzzQjWs/Z+UWOK0peu4bbo2BXLt4Rub7eKlVS7odAF+/PFHlorxzpEjeTw2gMZNmrDQFCrE62IeTz+KKWDKWG8D9tu9HmwM3QoQC8syJz3jLt2y6uRn5Gmmk5/pBGi0TPQTiZmXEZrJmqw+8yV9n8j21YjOaGjJPY1PFi3A0CE3YvTwYfAjgrenT8P7M9/Ejdf0QfmUBPhCBfAF8+EtzoOniGouPIWiFuVxJvnCXIB9lwdPIVW5j/yNrPncCl6cx5YeVgtYBS1JCUM1RLWI15JieEuKGcmXDyU4v10bvDfjLdx04yCMGD4M78x4k0kgUmHglm9YZWlxEUuPHD4kZKQpKpvGXfeNRbXqNfDilMmq6SvOFZFVhBmQxXbVf4USun37DtiwYYPWgGwystwWA9sypXc0QLahjZPkYZqbOAFqGg9DQUTIkBEsYmCZLNNUjx05ig0bN2Plj+vwwdJvMOGdhbisbTNs2rELS77+Dnv2HcB52VzRdvzECeSdPoUIcXwUF/DjOGoRyx7DaqiYn5O8GRm5GoURaNZ0gwCtLGGYfsZJPI19lAdf2Xo/2f/McZqP9apd6O1GIyBzzAtMUaUrqHSPEc1LhEj79H10DxNBhOiYQ7SqSPtsZGwye4FHeWRZFm1rGNRGKtHg7XOT/fnIfWlPiReenPgcA9m8L9zP+sJLz08Wv7Gfyf2YdgVIWdNHrMzjsVu0C3JVjLaZ0ktcqLROeywLgm7ZtqzblpVbkhBEQl4UFAcFyI5TguOFzRtg+e9bkV2rKjnjsxi4GUtXYeVvm3HfgN64rH0rQXZmaRale7kE2RYo0TWONjDmPiPaHoD8o6mbLJWhJaXRH4c12zx0cTDIUvpMfekl5i4qS35eHiNGW7t2LaZPn86AMgkfTZs0Qd26dVlNTU1lcQlEAEAabhLIdu/Zg3Xr1jHwTsRKV199NRYu+pDF+ukNx55mwhmTYcon9kZ2LjILV6IKt1qlDdXiGfTr0DR1VC665FJ8uPB9FsMoN5JbTXZ2I/ZMaFNGZhYjRTp85CgqVyS21VKs2sZ7lhejixmCOIpWYwDaEbJ6S58rWbQ2ZTI4u2nCnd/LCa0EJYxZuRWBbBYTyF3Eu3Rqj2Wrf0DDhvWt2Gvdqq25sFENw4spL0zFnr37MH/+fEYQZsRdlwKyJbO4DqLJrffP9eswevwLCHt8zA1XfS/3F4CcgSYGjokgTZ5HWLO1dcVQLPO2ahOMq0Vbe2Nq6BQOCyXK0s2tK4f27sHa5Z/jzkefVhpa6Uaru1DxtsrbSFkqtqjXYkisdiHXpf2YBgKj9rmiD5Z++RVuvGEge6eXXXoJ5n2wEA0oZEA8mPjEBDRq2AB5+QU8itIRMqG3rbKu3oOL2zTFqt824dqL24tuKsQEEjDLKIeJddw4JG/jXl88/DXacou2zw+vl6pk47cS/XkD8Tj43ftocPUIrkgpobZGgDuC83r0xWczXkTtRs0YyGVp4+Bh48DPP61F/foNEAkVCuVSANf1ugSvz1uMjndcy5S1UrnLFLwBH/o3q4e7v/wRXTpmwRfnRTjkRQkpj5kCWfZbS0RSbVbGq9E/icJJXKXfFJNbIVm1S9A2PQNL9h/A3hNnUZud1wtvsR8+Brb9QFwQ5ZNTEAyGmDKlXEISZ7xllhRTqGvb9jz8uu4XnNe+o8U6LN3yhEVJCi6SBZosE7Ts3PNKjBs2EBdf3R9eynFMbo82eUCO+Wp41IQhvR/ay/6d27Hl959x/R13aQeyEV5pJ5HWbLmrvt1eiCiU+ESile5dL8K8RR8xy7YsCQnxaNygLusL5plMwV5xq0TTjJVRSDAvcx/jIbt1PDnuuM0d0X4DpKensXRTBQUFLPexFEHoGVIYFblK1yfvDu0o8g51UUT/zljK46kd+LfqaoQ1SrmiCm8FK2+6JD3jv4pEFYoty5SV09qZ61oSmlkgIoL8s2ewdNlXWPoFkYkVo3eP7nj1hUkol5EGD2OxLuEAmgCeZJHWFVkEfjTSLT1+2GobtnZhmecMF3Fd1nQacaTCnZTePnjCUunNXZPbt2mJjxZ9gNffmoHBg27A1KkvoXylSlrLteJsdcumEiXF54sv7YbFH3AZSf6W5KGGJCPl5Ts8DOVOMj5fxvPqVmvaVqlSJU40W7GCJdbaLNtmO3cvbFxzMzbZn7UA2pw4ksA2B7sUnvfLxi1YvOJHbNq9H1mpyahdqRyy0pKRkhCP4lAINcplIFxchDP5+ThaHEL51CR2nR998yPe+WQF8gupz3qQkpSANg1ro0PT+mjTsA4L6ZQZYBiPiXhHzCinEQfK9261fHkv0QvJblLpZXr6RHlO9g7p2EFbFxwLhuwi/tqvji/1MZm3J0ve515SjHvEGAcsC7dsH5baoHRiNFNhx1ekUsCjzSf69265tc39XPbRzkHbJF6o34BjKY/oCw2ys5Gfn2eC7HMQ8uyg+38hRIsdaBfmCtdxCSZsO2gAwxsVaGuuGkxK4EA7IY7yYgJFJTCA9pnCIKqUS8fOo6fw3vIf8ffuA7jjyksx5oarWCowKxbPZx7fsGTbgbbtravrL+UlCDDAX63U0muzkxwBJWC0A3BbeeKJJ3DzzTcbIJtKUnIyOnfpwio7RTjCgPTWrVuxa9dOrFy1iuXUJDp7qhSzRVbeGtVrsFRe1WtUV5dL55VtQHU0R8otzcoQXUH3r4sdbEudgxS0pNOaBP0y1pXIIKgcOXIU5ctXVN9TjsKMDG5NoV8PGDAA8xd8gPvuHq0BjSix2ipHpCnUcFZyWGA7RJrYMgppPe2s9a4AOwrQZt/bvSr453iyWBOLcnEIEQ9ZMPn3p8/moWqlivCQ4Gwcz5lHm2K777r3fnTo2BEvT3tAuY7KXNbnArK5JS+Mj+bOxOlTp1GneRsGhIJ2SzaBbAWwOcjmruM6uLZc01lbFF4OlpuUqSGNNu/wmDN+HzrIZvhHkFZlt26Hz+e9gyMH96Nyterc/VfLDakUT/8SYJvXpPPaO7W0erF0Tvq5rXGiZ69eGDVqJG4cNIhtr1O3Ntt+JOcYKhKJj8gXTyzO6WmpZnuSqIn1ARkvGs1Lx1IK9ejYCk+8uQDXdu1gxL/EArTJddwRA3d6D0qCeYgrV5O5L0uwzaqu8BSl6NQRFOfnIZzg5+2mJMwUO15BTkTCS1BT5NSqWw9//fUnE2bDHgLJfLxv0rAe/jl4FCFy3QwEEFFgm6eOzEhJQqtKWfjx2Al0zMiENxCGLxBGSbFGzhmWoEGCbCkXirg8VjgRDu3vJZDtK4G32MMA+x316uLVDVsw+eK28Po97PwlgSBPhRlH8drFuOaClkyAHDbwak7aQ2FRzKotrTxhXNG7Nz78+BO0JaAN033cXgmYsL5F/dwTQSAugNseHM/BuZyHlJRhKRIMwUm3MJQikQTi4xnQkQexODZshGhaiJQS9mzA215IiUxZOqKVOrVqsuXhozmokCnyhdO8UFSEDMozLT6rSc0Gtv8tyI7Vom1Z+qIAZwWyte06mo3y3ElopP5Opaiw0ADJZ86cYaSqFHpmzeEWa4TrGFqK+7hxPxrQ4+Ceh7jI79hSgQgrptN2y+rW9Dy6FtCWruIauZmwwuXn5uKr5V/h808/ZSSIvbp3x8tTnkX5jHTh/RHi1mVGpmUD2OSGHNKBtnBBVh4k9rZhE4LUhcsJSTfkCFdjzWtSN+rwfUiBJrYxIEfrvG/7vH6MGn4HLurSBbfdditGjR7NSNNU/xD56CXYlt1XFytrCxnp6JEjjAhNvmvyiEpPT9egl9Xh1PsULsE83txU9Pbo2QNfLF2KW2++2QTouj4ohlAMZp02+l0UkK32IZdx7jZemJ+Pp96aj+OnTmP0VZeiUfUK3J2bKUs4KB85bS5a1aqM689vrs558GgO/ty1Dy/d0U9jEffgdH4h1m/fi1Xr/sLz8z5jHlw3XnYBLmrTlM8dYf4epQJBj8Nn75KNyYK5Tj0N90Kkx02bEZmj1ZvKfFoiht4QhGw/ls1RV5hZX3tiAN56Zggr7IePARa41l3KdYZ6KTeVjbStVd1DyqMrcjUgHe0QpXlV6ceiUkv2haOEFyqo3zMZKd0KWYm1OJos/h8CbYpd5WRozgmBfxSCm0ZAI933XIG2tk5aJUrNUkgSsz+Obdtz5DhWb9iKM3mFmP7pagzqcSEm3tmQH0+mQdKJb1SuWCtPMR/cTEufw5VYVGsCLO2NyFHKAt58sy7IlJKBHR58sHAhmxSv7tu3VE0X392DGjVrsgpc5tpYdBcHJV9oXc34XgfXGuuz4eZqVH2y/ncCipTbLeHA+quPLboAVr4C7ywUD4ymzdSxqONQKgI5aFzW/TK88soruHvUSB53GbNVm78LfmKezsEA22UU5kJkEF7oqjY3sO20aJtuvpr7uteL+Pg4FBYHNT4BD44cO4GKpGVWebLNFF9y/dfffsejj4/DY48/jk4XXKjlwrbAtMUqHgPIDkeYK9b2zX9j+BOTxTbLmm24d0fcXL2jAG0JNu0gW2JF8UjtWTvZPsT0LPblsaccZMvsVcw1jmKen3oeSQmJyn1Okn7oQMBqn+5KsbIbg20ZS9GHDlvfJEVSPrNU82mwYsVKClw0a9xIsPh7GLioFC9jyMSko9j3XdTIpZSq5bNw5CRZpqVySrwUN+ZWWzmTK0lnBPllJIySo38jqfl1HGT7RWUgW1q0ZX5ofm1pdVoiePYkwhnprN0wRU5JGFnlKrF+nJebK7wqIgj5RBw/YR8C48xa5GehRTR39O7SER//+Aeubd8E3rg4eOOKVYgSxU3fel4j3Pn5D+h4QTn4Al6UkNXZL+cs4aqt3Z9qq1JYERMra0shAbKDHvj8BNhLUCspAfEeLzYeOYGW1cozF/KS4iCzbHuDQYRDQfRu0wiDp87HHdddzhV7fsrZWmJY3Nq0bI5xT41nsdekTNBBtuQxsJOiSas2gZS62U3w1rOP49rhY5CQkqrIAJWCURO49MJfiZviiJcqNevggh59HM3ZFOA0rxFbWzd+ZNte1gxTsQIHFEeOHkPzbEtJXVhUjITycZpLpynI2zOF/KsSU+pHPW7T6U3iHpompU6X7eJdkDtv1apVGYMuKZv1QsJlhYoyJZPLoaPcsg7W1dL2gZ/eau9O/grTuuZyV5bArViIBWO4xhwuXV9pW0mwCMu/XoaPl3yIwoJC9OrZA9NemCzAtQDS5KKt8iLzfMgcXNP33PWXgWyyjApgnXPsJLbs3odtew9gx75DOJBzAmfzC8wIVwE+ubXXkonoc73qldC8fm20yq6DZvVqszGFwmIifjH2CKDNtjGeIPqex/wyyzbLtEBLv2qLzZs0wpLFC/Hwo49h3S/r8PCjjzLZkDFBaGDbDnjps3znR48eQeMmTdU7IEVMXEVKn2m1Oqng0VNT6sRr+lqvXr0xoH9/3HLzzVY6OXkkZSyJoR8p8jNxfLf4QnlqrnUXILoEz8xciMY1qmDQkCuZZZuUkTwlpBwfIwwvkIcH5W6X5cjxU6iYloxIYYHgreGyUZrfg65NaqNrs7psPtl37BRmr/wZLy/+Cm/cfytjoadzeyIBhQs4xpAgWxs/oiEv0dA3bPgLLURoh3pfpSi8DOTscPNxxoG77OE4vpPF3hbeI2O3dZ4NmwJOkqNJwG3Fa7vfvvNx6AAbljjs8p3uRSXnHkSxZtuXVCqIlHTHCC80aaqGUuoL8RUrxSSaRdzW9D4XpShOiv8KaLMbU67jKIV1XAJsmYrL0gIqF28BrnUQnBAXwPaDx/DE7E/xx/a9qFm5HGOmbNmgFqaNuc36vebC4zyexkjuANg6yJaui7GA639ZFLCzWtqRo0cYA/hHH33ENkeb+tk2/QvdUm7ftxRgbf8swQ2MGB0XAK5dR1muL/xWS1N1lW0x1CEOrSencOtEfgG5iVtWbxIy4plbDt9GQna3bt2w7Ouv0btnj7Kt2grc29hhDbAdQ1HgWOsH6ni6ys4NZAu2cBvQVlZqeJhrkwTaUrNKrpHErGyl7DLdxskS+PK0V/D7Hxswd948ZGaVMyzYEvTqoDtchrs41R1bN+HsmVzc+eQUBmwMcC3Iz3RgbcVKi9gwGVctvlOWbC1233oPMl2RAM82nQc9inCYW+0YYFckTyb7OAPaYSAhKQWvjX8A1w8dxbwkuPAi2XOlNle0vXPB2fokYQclUSaEUvGu7dxkoaLYbMppmpqawrYVFORbk7GH+kIxc5uN6WJjKDUqlsP+nOOoXj7TYmaNQaAi6zNXpFKYAwU1h5DYrB988UkayCZ+DQ62GZ+HRoxJpVyLSxFIjGNtgbUlamfCOyI+KYmF2lDsNrW/YImHWT0phceKVavR65Iu3CLsi2NA++ZrLke/UY/g2gtawRMXD29cEL4ELniTsJaRloxudavhqwNH0LNiRebyzblGaOmBL+yBt8QDL7UzjZyIewLxF+UlRQ91QUoZVhKBL1giXNDDCAfDGFKnJqb/vRMvVsqEL8TjuKlGgvw6EhITUD49Gbv3H0CduglAKA4IcLDNLDsslZQfNWvUwN69e1C9Vh3lPs7VibyPWADFgzAjR5NWbQ6+O/e6Cm9NeAB3T35N5ERWyQ3VuOrq7Ky5+fLhzGpDp47n4ETOEdRukB21TUhwrc9BPFew5lGiz3+aKzl3S3YnW0pN4WRk+QVCuSPGDlI6JcRzrzi+Xf35z0rM+YPlSBDVRbw05ZcObPgKxXuOe/JJvPHmm1i8eDG7V/1KyKU8heaFc7mXMp6OFIwVqlOXpqOCKL+z3YYKe9DyWpskaDR2h7Fl8ybMmfUetm3bip7dL8OUZ8YzAMRcwhlTeB4H1AxoC5BNcbXMci3jagmQhVBcUMDcjr///W/8vvUfFBUXo1xqMhrXrIL6VSpg4IWtUK1cOlIT4q1rdjXHc8MRjUm7jpzAX3sO4v2lq7Bx9wGUS0/DZe1b4sqLOyA1NY3zBzGQLTiCmOKPPFU4IGehIbTdZkWnNLZTn5+Cme/Nwq03D8H0115HUkqKJoMJ0jnNu4DLSGJeEKF0cju1D1LIOJRaErQJpaze//T2QF6VF1x4IZYtW46eTKYytTH8McUwp0hGdxsEZOGD0VpfhEKRTmDjzj0Yd+MVPHaaKU3oXfMYbpYuMRxhsf4F+YUoYe7hvOTmFSA5LsC3qTlGSzUsavWsFDx6fQ9sOZiDIc+8iTfG3Iw61atwZQTbh4N6CklQ91Fq97dk/T82/IEHez1s3Hk0RZSBsV1lhNJlZy7LylNr6g9NV86uw4VBXHqy8LszlcksO7hkqhf76p6A9muwLsa6H7ZUnz2aHGStu42DpVm7zadn7S/HP5KR9HOSYY7JSGU0V1dj5H87fcQOtMnNB4J1XLoIGkXPka0s2jrwda5T/XHTLsz/Zi0KioLYtPcQnh0+AOPvGMgEsv6PTUUhsbXSgGW4nbtYx/VjS9BidxdXahWbtcdSu2qzzH9QdCuqB3jwoYfx9NNPs/hq+3s0AbKzNUd7727A2t7BDct0FGIo3Z3cfgWlg2zbhPw/FHldMvcdabT1CyD3MXKjU53BA9w05CaMGDECvXv1stifBVBwMpBLRQsNIsK91ga2YxLQZNvSrA58u76utzcdZGvAW16rTRnEgHZRsSA64/vSZ4pTNxjHyV3Q48WOnbsw5oGHcGWfPnj3vVns/hi4pgFTAWzLgm23aEezZBPhyqvjH8GYKW8wQGUnPrMAt8ZUrlUdiOss4xJg6+1NvmiuUOKpilTWNQWyCShLEO/hxxTCm8E+Llx+6bouH3Qb3n/jJdz/7Ms2q7Yes8Q1tufcgnXVq+sXzm3RzqFPzPXr1cPOnTsY0GbxZGwS4fFmcuYjgSpRhBm4n8saz1R+zVJK+yb18cumnajepa06hrTellaIKEySAoZ2r4a/UhP44qszgE2ZIqhKsM3CfYTiVTJ+Uz3+1yokZpRDSpuL2DvlrPUcWFMu7fWrl6P/7aM42A57mcKteo2aeP/9BehxaVdECGj74+ANxCElIxOdz2uBr3/fisua1YY3PggfgexQUAHeG1o1xC1LVqFblYrMqk2Vx2l74fUSQVGYAQAVeiOWvClaDPMEtH1EikausH4BtoMlqJQchxSfD5uPnkLz+DiEiSwtGEKYXQe/lusvbIMPlv2AB2+vKaxzJSYxWqQEPXtchuXLluG2O4ZrJGgW+7i0Dtqt2j4RltC4VVvmfktWdAo5UaQ0In+761xjtiCtiXOh78j+vTi6fzfadOLhTXpR3rdGiJAlgUlFrjqqY18gIz0dp06dQla6k+1eKpYolEB3hKSxMVEpncqCkf+yxODppM8D7i7imhzi8jNjQBGr8+bPR7fLurH4dZoXyUqj5vAIVz7TnBjzbag/0e9AvSEHvYw5hrkBa+guo3Kq1MG1BrIJOC374gvMnTMb1atVxa1DBqNVsybMcs3cwYPcLZxZrYU1m8C2JK7i1k4izirGoSM5+Oy7n/H1LxtYCsTzGtRCl6b1MKp7B0aoxqyhlM9exQMXI5xXbErUNvcqlZ7W60X9rCTUL5+Nfu2bMLn26JkCLP99M24e9xLSUpIxsEdnXNaxjfCsIYAdx6/dTwCbqX65VZsyFQgvC/XMvD7cdvMQZGdn44aBA/DWjBmoVLkqux7uumu6kVORccBSRpJXTu2DCFMNoKBZMSTIjualTN+TPHXT4MHo0aOHOLeJDGMCIaWhzKgeJhG8+sEXGDPgcgZyJTkaVaaoFMrSSEmYWbTzC0ygXUAyks+LkqIiiwtKC13lxj9hkPOFkV2lHN66exCGvfgeptw5EM3r1+HylZcUnWYcv1umBn7Fem/w4MCBg8z7pLTb14vdaSGqCs72hdOJ1tpBiuO6fC+3SwZxCbDpV3IusEC4TImqxWuLeG7nG+ODkbRp6aoBNeRBGxN0wO0wSNjGlzKs2fKZqL4gvH3kcWRfiFoceMf5ttxwmmGji3Gqid2izWZ3kd7LRSurXMoNpmXpwi1jVzjzMglaK//YipeXLEfL+rUx5oYrsWL9JpzfPBttm2YrwFFI2n8SNElo00GzbhG3UfSb4NqMyTbcdTVh1JwU7RJ3DBK4Y/LUPovW9szEZ9G8eXNGZuKmOTlXNnCxq0tjsbt8RwfjbkzgQul4TkX3Nv3fCu+xcaLjMIu2ZgEpLCTX8QRD+5aVVY7lGd26dRuyiSjMTgrlRhIlXWVcwHbMD1+lKoriDuhQ7NhAtrBqq5ycst2SRTuBLNrFhsWaWW1IoJJpu4jwLAK8OeNtrPhmJaZNm8ZYFmnQtCzKdpdxpxt5SRRLNrmH/7nuJ4x4YjJSMssZ1uxQWeziuoVb224H2HbXcfa49IFM5s0WLuEkrHH3c2HVlik4mSZas2prqb6q18vGRZf3VTG30qrNc8CWTrqmX5e+Wro121PmxOA2nuibiNAw59hxti6FaGXFE3tyy0WcCyTSdpMp7aKdVCttsuti0Tc/ot9F7bT7LLszhCM8Rjp8ejf86dURX6EhI+DilYNsZs32C2s2qzzXqE6gyQRgxozL26RsW4G4BJw6dpSBq6RAMmuHtJ6Slsa8OEjArlWlAgP0EQo7KgnizhuvwcB7x+GSlqPhiScGYi6wETM4CWyJwUT0b1oPH+7Zj/7VqrK810SO5gt64SNwH/KgpIRSZ0muACuvthx7ZEojUkZQDZdEmAAYDkVYva5GdXy6az+aVikvhES9htClcR1M+3Q1HpTWOOkWq5E3de3SGbeNGIXbhw0XloBIFIAtrNosxDyCMMWOE/iPAG0uvBifzJ6BKrXqoUWni7iyQPQz7vYWvV3wc+kMsB7knj6FtAzO+q4XHWCrOUXD0wrgKeuI5alkHQQsRdG+AweQlZGmKXD5gSylk8mGX0TzQhx9F0VT/F+UWOJS9Xkg2pzgBrSN3fh3u/7ZzdIx7t69G++8844aC+yu46R85l5ebhcU7RZM4lPtCh1xmHapRheH+GdrDFRCtdZ2GJ2nrb0WFeRjzrx5+PSTj3F57554983XkZmWzBVOoULWH3jMdVAoofg69Q9u3eTM1Hlnz+Kjb9Zgycq1SEmIQ5+OLTBj5AAkx/mEJbSExdZT6j4G2qiPMosoAW7xgByaBw0oKEuoxwqBFHHZ5eJ8uOGCFhjU5TwcOHUW81etw0vvf4abL++Kay69EH4CuwGeSQB+Up6R1w1n4WYg2ydVTvLcHlzY6XxMfeF5DL3tNrw3ezbz2mHPUiJgga5oQXKQtOLpch21hzhXi7bsn7xjcpnKvf9TXGuXiy7CvPnzcOOgG50oMCaNtN0dzd4epXxkNq6/d+3F+CFXcbZwBrYFwA6FmLKS3mmYgDalaiwsRpgMEnoICXFiFBWbaYZZRiQicaG4evosWcQjqJ6Villjb8ZtL87BZ5PvF4od4VlkI82L6kvMjCV8M5/XiC8huoO9A1xrn92cXSzgWUpUqlbMIdAGorVjCpWPug4H4HZxKeeKU+s62PE1wjzHqCfeq8eQg2yf7VJMqZDLhjsFUbKyaEuwLmK0S1NC2kG2jsmi6odkmtaY+sC/SO/F6N1luhR/lCoIyHguawtkW9v8OFNYjJHT5uHLdRsx5/FRmDBsIOrVrMZcv4poYBQaQRLOioMljDmbx8Dw9F4szZdGPqGfz55eyQI1OsiRHdxGjGZMgCKGO7YRRf5ENGpdqub1lemvMvKye++7zwGymRCnxUsbZGVym60qC6UASk5rIkqpVmok/Vp0d17RnEqVVfQOwz57YqjWgyq1kMWfyjtvvGZsZxZtJVRYyoQ7br8Db779thPgyguTQpAGevngyMGuq5dDqe9aP47ZzgzQbGcFd7NuayEO9Jk0qiQ4FRYJ13GhpCoqDiIuLp7Fo9K2bTt2od/1PE/0ggUfoCqBbDu4FumJrHRetjhqN3ZxypV99DCmPHQPOl52BSrWrKtisvm+YfUbfWlft8duu+XRtlvAje/1fNsGcVuUY2t9QKb94kA+gjqNm+GTee+YfclQVJmTkN7KdTlAb8fRtK1RGkzUI+uTqxwxcvNykZLM3WR9NPYBePX1N219gdxlhRXvHAd9t+urW7USdh/KOWdwEcrNQWjfWsRVbob4Wu0Zi7gvEM+syz6q/gB8zGVcAm1pOZYpQzxIrtoAKVUbWDci3hG1J19cHCrVqs9TeDCLdgTFRcXwBwIYOHgI3ps9B2HhsknM42TdprCJwX0uw5SFy+CNT4A3gWoifAnxogZweeM6+O5gDoopXVE8pZ2k6oM/4IPf52WpiyjdiZXyxHKD1R6QpTASgJuB7ZIwaiUlYveZXLZO20hopPUws8iUgCIxa1bMwo69+wUIEFY8WSMlSE1OQigYZOMeA9cyj7Gu4JFgWDjZ8PhXmZKFx732vP5GLJ33Nv7Z/KfKSyzBj5leyKy6VVI2sy6X92Ux2p7SXO9sn9W63sdsgFh+rFG9OvbvP+BqEZbzwrS3ZxlvgZSShuv4/0mJAbk7ZAmbrGETKSNaDYZK8Meff+L1N95E337XYPLkybjsssswa9Ys1tYjQqAkZbM+b9M4EBDZRayqjWcaB4u8CwNb2m4rqgAsFTw2tntOZsbzuvtFuiCZ9itOSwMW5wOK8s9i2gtTcOOA/shKS8Fniz/A3cNuQ2ZyHCc1CxaI1Fl5lMOLpd+ibDeR/DOI5J1BJPc0Ss6exNqf1+HO8VMx8KFJKDp7FjNGD8CMO69Hnxb1ER8qQvDMWQTP5LJl8elcFJ+hmo+iM3mqsm2naUk1X6t5KD5LNV/VoL3m5iGUl48Sqvl5qJIUh/uvuggLHhqKw0dy0Puep7D6p18RKczntYjSgBVyQr1QMUv9pSsR2DJMn0PIblAPzz83GUNvvRW5Z85ofdGcM2RfeFvISKo9CGNEtJYbi0GEdrn77ruxcNFibNq8yUWuimXC0YG0vT/Y1Dfq2NqR2WRN1gExfhLAZp5B3Dso3udjFuySoiBKCmlZjKLiEIg3nG0rtirnyQihhDgygjLVoojjLwmifEoiYzTfue+QANnCKiHiwd2t79ptipXDR46gYiXOqVJWpnF7HzPfs22bTIsl/jnTeJnVykNvT9Fnpv6ShIRmWIe+r7lN8iqY57GIDN2uhV8vrHtzA9k2dG0o8KIZK7Si+sLrvC/IfbgSUgsPcSluIFv/zsJhfFTV97d+/19atANEDKCrHDTNn7w7DYAYFm0Bir/7azuenf8FHru5Lzq3amKQmdELYNYocgMUIJkeIAnPDFjb3MAVq6CrBTsK6ZR9wLBbs+1Ay/E7twejDyDyaVgthmJd/vzzL7z5JheU7SDbiI+O9vJcJsvSlPd2N/RY4rYd2pxSGpLUgPHbj92c7Qg3iFJC5EYJoGu37prgQFYmoqXXnAaFFq1Fyxb4Z9c/HKAk8RQPTGvrdEbR3g33S3ZYtmMC2jI+WzumWtfaBNNyupCeyShLrztzOD0nstZFmAcJl6CpLxDILQqGMPWlaUwoe/nlaYx1XgeP4Wgu4rY4bbs1W7qLnzhxHBPvuxN3PPqMlUdYT92lp/OyMYzbQTBjHXdJ56UrluzWBPbW5DjDUqjxz4pIjbnFRzipthq4LXI0xpQpY7XFc0lKy8Avq79G96sHICU1hTOQK3ZkLf2cm7bYPtCXCrJLt2Yb+2rHsze7vNw8dp30ZQkpH4mNvHs3owlSX1BeRNJyzfriuaNu+llKciJyyQ1P788xHCp8fBsS6l7EwbV0EWcAO96wanOLthc+BrTJQiSIMykGsjgf/qTqlsZejEmc0dODrGo1kXP4IGrVqs0I0WhOCYVK0KlLV7w+7SUUhcJIZGCbu6qTG/kNV/bETQ+Mxx97DqNVjQrMNZtct6WgFZcYxPVN6+KjfQfQv3o1+It9CAephhH2eRH28tR0zOpL78GudFEXag1GFtgmlzu+PRQsQUCAbG6d4e7rnlAJru7YAh+uXIsHiVnexapNlpfOF16ANd9/j4sv5WSYdss2xdkpt3EhPIU1Kzc1h8TERDzw4psMpO3bvhk1GzRR90BWcDmXOAw1qr1abv4vP3IXS/EX8PuM38i5jI95+rHM/iUMajZQaDU0Gs/27d1j63i8XVPsPpWel1xkXWRE9oVzkHr+VYkVXOirWovR5oozZ89gyUcfY+PGjSydmbTQN23aFO3bt8ecOXOQnJzsmK/ZvEBtSNNW0LxAyhuHMKDP3/r7NfhYzEtXSVTkkGK7K9UWHMDbzNXO2qJmyS4qzMebb72JlSu/wbChQ/HgvaPhlXnjgwQ8ecy1IjiTruHCLZxcxImQc9anX2P5z3/gvPo1MarXBWhQKZPlpg8Hi1FSmK/6N7d6Cu8RqdySgE0ovaLKLGJMZXckLNqc4JfzDbGMOjSWEa8DZTSgdcooEPAjMRCHO3t2xI2XtMeTcz/HguXfY+LIwcgsV97Iw6wHbchmK2Y6Uq2iWZPGePyxR3HH7UMxZ958+ASQkF5azDBCYwSASy7rbrx21hdsDPCs+4id1LqtudgLtau3336bZcd5bvIkNCNSWrfJKlrRT6T4csR9M4ugMfs5AXxE8z5gYzcfv+X4SQenOYCAtGT79wnZkcZ3hhG8PCSI3PXpfXnCXniIU4QUvgI4safu8eKqjs3x0fe/4v6a1bQUcCR7mBkLzFRf4tpF3b17D2rXrs2/jTIeSdmUHc1Q3KqHZRxZf9znMrObGR9MQ4K4a9HueHiCYiBXn6197C7l6mrJK0l9NiVtxz3DZpSzgWx9W/R7dT+H7AuXXkahDtaeSkaK/jocINuJkZy/ks+NEX5G/mOLNrckW7kD9crTG4jPhru4dOf2Yem6jXjri2+x5Jn70Ll1U5F+i/+O1k+ezUVWRjr1cJUKhlxoSUvFrNx6ihgGvMVvVcy3PVe2ADN2y6MdZBsaaPEgo2rtDJWLA6Dbj/fDD2vwxltv4eVp0/j30UC2Yb22LHKqCtdFK0WTu5XavTr3ZwO1Aj7OhqbcXqI1IlvHlwzCZVXjN6W0tWKRyqSxxjhO15KZmYlTJ08YUoO0CPTt2xeffPqZ+S7t79tucYhm2S6rGN4SppVcb2v2NFxynZ0vCsimepJiFMtlWWlEPD4Wa0IMs32vuQ5169fH3HnzUa1GTZQIYCkVsNxN24VZ3AaydQu2ZBI/uG8vO9fop6eicu36yoVcgWgdbAuAHQ1km+RoFvO4JGEzWcjt7di+roF0l/6h9yH5PZuo1TDpQdc+1+HAnl02y481kNrlLk+0GiW2SCf5cHznOI7dUij6hvi8Y+dO1KhRg12gTOvTrGlTqyOA+kIGTp6y5bDWi+rAcjIsRSuv3bMl9NBq2dNDZut+8CdnwBeXAF8gQSwtizYH2T74fD74RBw0gW0fCUECbB9es5jtpy5dawMFZ08zRckn77zClEyUvz0Qx9mXSaS8qt+1mDv/fZbbnVu2iRQtnrmMT31wJB6ZsRBFHh88ZNUmN/L4OPgTAvAnxOGKJrXx/aEc5CIMX7yPVT9Vadn2exHHrNteZqHzk1VVVKWxF+DXMaKRgocIe8iFVQfjCpCHcWGTevhl0w4h2AlGXbku3BaJGGrFihXSV8rVEmL/rFsaZCWCybSMDCx5axq2/bFOs1ho1gtJsKYRranc3fCgIPcszpw8zrzMzFt10fDbOD9cm54BCvmHWjVrYs+ePTagyktREU8r1ryxScRGcsPJ02fMYxs/tfVAlzm/zBIruHAc2/pM4U3DRozALbfexiwtw0eMYPG4iz/8kNWnxo/H5VdcwQipdGWyXD954iQys7Is4ZdciMn7qbDQlCscY5xNcNSee2lTvHEXNuuU3nZk7muqzKpNfYQs3F7g66+Wov+116Bu7Vr4fMkiXNXrMvjDQXhDxfASe3iwUFmyQekEC/NYpXSyKMjF0YMH8MhLMzD0qZdQv0I6Pnp0KMZd1w110xMRolSnrOYiqCq3SAeZpVpUskwbVmuybhc469kCFMuaW4CgUfNFLUAoT6v5+ayW5BegpCAf4YICpPoieHFoPwa4r394CjZt3c6s2iwXe7BIKBKK4RFkbtyizd3lpTdLh3Zt0a9fXzw3aZJtDuH9schNRqKsFSQjnTphjPeldT1EbSc8hIk8Kh56+BGsWfujS6sotTOYcrJdZtb7hmY8s48XMqZeKkokz8ap/CJkxAeUxZoULDRWE4ksWa+ZQjUYMtY5T4Ye6y1qOIzOTevhly27bG7ilixhDWhu6JnX48ePs5S70fpStO2WTCAUVobSSozrtuElmheS8TuVi94a4+UcYScmNC3XsVi4o1iw3SpM5Vw0kM0+6coHO1jwuA/H0foCxwsn3ZunXSHpANma/drmYWz9rGyZ6pyBNgO7jETAyhXIQbV0Fxc5A42YbL5c9usmzFvxE957dASSiTmU0rEocO5nQOP46bOoUC5TMDRy8J2YkICC4mILXEtgbjuPRYBmuYxboMqZu9gAxXZQVtogopOcGC1HHs8619qff8YLU1/C7Nmz2WRogF0JnKUFUsb8yVzXEd5p33r9NeQcO2aCZO0YPHbQ+k1ZLuORKOBdvw7lUh7NwvE/aNnsv41WyOWDCmPP1AQ2ilk6duyYY2Kg2qdPH3z2+VKbIKW9I+F0GS2EQIHtWLoEszQ72ezVsXRmexsYd2MM149FurnjJ07yfIAeDrKJGGrnrl2M9Oy9We+h3zXXcgu/cpm2XMNDmtu4btmWrrgWeJYszrzu3LYNkx+6i+VlzaxU1QDZ9pjsc3IXFzm79dRiepovyUiuFD4Ogr4I8s+cxK+fzkPe6RPmoOfyapxtl6+d3/0KlKtS1djR7ThW29RHf/ldNJCtgR43kB1lf/186rSRCA4eOIDqVfm1khWSCneNtS62Qrks5Bw/bgBq083NFBiM9WjNWu+Ycuwso8QnJcMfnwhfHFUBtOMSGIkZAW1ye/UFfJx0zC8qWYaI4dvnRfBsDuJSs1hMo53lmqzA+WdOISktC7WbtsaWDb+y9kYcDhSnTetXXz8QCxd+gEISokgpRfNUIB4IJKBC5SoYOfBqPD3nM3jjCGgL1/H4OPjiA4hLTMDoDs3w+uadAnz7eU30I5DgR1y8D3EBL+L95PrKXWGZO6xYMrdyZu2SleL/rM95oRKkUuiTeuHmwBcgawt7L5xJV48J9IjauGEDbNu2TdkMTp44jplvvc6WuiXRLugYApF4nQG/H6MnvICvFrzLjictj1JZ4C44Wcc5fTwH/YffW2abkC3S/skNPNorWYTIMuRWiJeAigqZEI+0fFYmco6fjAqg+aZ/CbCNg5S5kzuoB7D2p59x/wNjMXbsWCxavBj9BwxAnTp1FXFV1CqeC1nzyduIcibrSnr6fQGlM7KPm9r4aQdRZd2B4250i7V4FGbYge5CztePHDqAW4fchHW//IQlH8xHvyt6wUtAMlTEwbUC2YVAcQFAQLSIXK3zEC7IQx55Vr01F7eNfxk9WjXEwgdvRU9Kz1RQgFAuB9SHDx/D9C9+wKFDxyxQLSp3DydAnY/i0xJgczBddLYQxW71DC0LEKT1XFEZ6C5EUNY8AbzzxDpbFiKUL2oBAe4ChAsL0KFuVcwaewvGvvwuvln7K487Li4UgJtAtm7Nl+Ej0qMljIHXX8+yDqz75WdLkSveQbEmI8kiZaTjhowUXZvi1kfZmgYmCDi+//77mDbtFXz8ySeaWrishuQGsG1ys2xlcq4RKVMld4c1jVlhOVRLgiGczC9EFqV6FZZu7k7u5fMAq5KA0nI3ZyBbkKlJ8C5d1EmZyj0ptaeiG3Ri6Dw8l725ny5C6GNxtGrIEBog1bdx5adZT544gRlvvM7GCPa9Lo/YgLFdjnED0jL8yN39XM8mYCoEXKvHCbDtINsC3rEPzx4b0KbUv3opR33h+DHnDzVOKrtEZIFs/bPt5zrY9vzXruPkkkcN0wAp4kw2AU1P3UWkZ7OWr8GsR0cwAckgRxPrp87ms4mEJkxOlsZBR2JiAvKP5HCAbZ8kdQBlgF1593brJV8qwhLbdr4t6t1H0cyJY9oA1fbtO/DMxImYP/99JCWnRLdi68DW5r43c8Zb+HvjX8y6OebBh91fuFzarAllNRa7IcG4DrGNUmIcPXKYWU3lHdtTTLCx0Jnq73+WVyThiyRFk3eTVa4cU0AQQOMOw9bx0jMy2PLU6dPISEtVgzVzU9LfM/NioqFIuIpHTDfymC6Q2q/k+tAEaCNPqt6+PGW7i7PPXi9OnTrDXF5ogqPPlDN2+MiR7N7T0tORVb6CpjixlCMmsDbjnA0g7kp8FsFXSxbgvsnTkVquggGwg1EJ0GJzF2eWbRUzbesHYt0CpBaDkhoIPR78+eUCHN+9HcH8M+gyaKQmiEovEfYSo0JIej7HDh3Al++/izsffVodXy35z402qvfwYHExjh09jBo1akUFzfbtjuNE2V9vcrTY8OefaN5camYjKCzMt8CFBqrLZWUxhYxxM+5376aKLb3ICzJyxbuX+IQkFIWLeZ5sFofN3cQpNpsvCVxT+iwC2MTzIa3afD0xozzq9bvbxEHiQgtyzzC24MS0TJzfvQ8yUhNZ+woQ0C7IZ22TUkBefc11mPf+B7j1xoGIEOEQIx/iQtNV3btiyYrv8feBHDSumM4sSpHiOPgSgvAVB9GhdhUs/nsXtuXnoT4RLZZwYjM5sEmWenKUDnk4iZIMAGGgghG70b3IKtPJCMIUxa5uB9u2mCHJhqzIdwRhDyJISkzA2TNnkJiSjndnvIWNf/2FUydPYdTYh7R2ZeXZlkKRFIAY+Z8Y4ZJSUjHmudfwx9rvkZd7Fh0u7W31R9vQp7fZ7RvWI/fMKbTu1AVHD+5D5Wo1Sm1yYqh1/0LvcLZNCYmJDsIvWUi54gDaBAayMnCM5YGXFy4mK/VBnsgmzcUY8sR3j0UB677hm5Ur8dprr2PevPlISU2NuSvq8/PJUyfZvEDzgPp9hJ5XAgryC9xBtiOjiBmqVuZtaGOZHWQbwrfk8BFge8H8+Vi0cCEmP/sMmjSszy21RlwyX0rCM2XpDRaxvMjzl36D2V+sxrDLu+D+K25joDScn4twcTG3YIoY3Blf/4y/D+bg+PHTuKtjcwGqBLgKcVBWVBTC5uOn8PexU9hzJg8H8wpY9gJJcshvU845Mo82GIhrmJmGpuXS0axCBks/62Ep/HzKbTzk9eB4URA1K2Swc/pEJTAnPVMqJsVjwSO3Y8Qr83Hg6HHcdFUPISNbykxmyZUWXbWNk61SvPaAQTdiwQcLmSwp341kG5fksLLBUPsg0BVrsSu65PuXIVS0jdInUTgDxW0fOHgAd40eXfZxRT/jYWCa67ia32X4p7Rmc3koOTEReYXFUFzRogFLYExhACfzCpgsk0kZHUR4AHsWXi8KqH1QaI6X0k6Sq7Ns/D45K/PzEdj28WMa7uHGmCCRPlwU2c7CcqALN3a98GHfEpbdGN/VvlGgiDyGXREGDS9s3PgXTp86hQcefsSSj9kjtyk6xfN3er+4b/MYObf5mfl8ISSvCFBcXMy4fapU53jBce2w35tpcFA6mNhVOeqYsi9Y/E28SLxgFJuXlRN7OXGT/XXp/SPWa43ddZxYPQ0rshWDrazbWsw11U17D+OVj7/Be48O4wQN8rfCCi4/Hz+Tq6w0+vZyWZk4ThOobrXW3NGZZZG0SCLNkcPKaLMkOl2HnYDcAuLA+4s/Rrcrr8Pm7dstIK/vb6/w4OTJUxh91914860ZfFLVJj13K7ZpVZbW6Wv6D0DVajVwzfUDDHfvslzBuSutjInVvteqOfk6td60HDf2Hjx81wj8vu4Xo7HpgzFbnoP2yQk83MuJY8eURkoH/0xDJb7TNbZyvXfv3vhy2XJNeWJ/R7Zc6kZb4J95PuDSC5GR8fbEwbOyYLu1LwmyDcWQC8gWSwmeyKK978BBDLnlVkyY8DTatm2LY0zJoLmKaxZt03ptgWtm4bYBYb1u27QRH8+dicH3PILUrApRLdhrv/wIL985AAf/2e5uwXZxF1cgm213WrMtAj63mG1reMu+6AqkVqiMJl372L4x22K0lkcTenFxEWce1fUgpp7Eaqf6Ng/wxNh78MDoEfj9159jAtmGBtcTOyin8vobb2DggAGqgx7L4e29POWU1e68PLNoay6CynItH59deHCxeNvbtV0bT95FZRQSwnzxmhU7Lg7+uDhGLuYngjFhzfYLwC2t2gS88w9txfZFk5grOLNyM1AqGT09KDx7ip0jKSMTCalp+OCVyawtpmZk4dSJE6qNXtP/BixctAh5RUEWpx1mhJqUrYIs2/F4+q6heHr2J/DGxfPc2syiTTWeuZCP7dwaL/25BaGAR1m0aUlW7QBZteN9fBng9cfQWTx5eg8Oe4LMzZy5nceZ9ZujOcjOSmf3z2M5fVYVc+bxvHzExQlPMbe5S0gfKSmpTJigTdf1H4hqNWqgX/8BRlsy4mNtlmjLLVymVvKiebvz8fv33+DrxXOikt9It/HDe3Zh3iuT0ajVeXjtqQfx0iN3Y8sf67UuEr0HGkKMJrhEc3OW7dBqi3LeBRv/qFQon6n1Vm7RPiaVTkYDtq5LCfXWFg3wlNnMY5oXLA4OXknopvzI78x8F3PmznUF2aVas9UziuC4yEKg5kTp5ZXFhUkHyFa8GM550rgAxz1YE7RyZTXGMsuNmdrHkoUf4KrLe2L71i0sRnb6K9OwaeNGLFm4AE0aNhAgO6RcpXkl9+kiThBG1myy9Bbl4+yJE7j1yanYd+AQPn5iOPq0boAwuWXnEflYHnPdDuXyJdWrGtZE5cQEXFG3urBKk9t3IXYfOoF312/BnV/9iHtW/oJV/xxEOY8fV1WpjKeaNsLzLZriueZNMaV5M1ZpXX1u2QzPtWyGO+rWRvVAPNbuO4q7V67Dfd/8gmVb9yLvTD6C+cUI5hXh4S/W4N6PV+Pn7fuENZvXkoIilBQUIlxYyBQHCZ4w3r3vJqzdsAmLvlqlWbU1N3LhPm6lMuM8DZnpaRg7ZgwmTXxGEy88Sg4qL5jJTXBhyUgxF61xuAGNQCCA6dOn4/TpM/j8i6Ux9AWfSSqsJlVdAWY35XpRs0pF7D5yTDI7moYMIdCeyOWcBpkJcYp8kgA4fT6RX6TiuKWyha3rlmy2tFxE5X0S70RxMGTz/LLPq7wycC43iE732++/4fnnn8fWrVsMRb1dWNYtzY6q3MTdXLB1ZZf5uwEDB6JGjepsqeYCTTHGPJbsfVlaxg2ZxOMqq+i8C3o7lNb1px68B4/ePQJ//vqLce+mDATLRd5maLD2VeqQ6NWGHU6I9k7ePnqhzzpeMJcu0dcO93H3PqRjpVhL7EA7Kc1yE9cAtnLj1pm/fT4cP1uAMW8sxFsPDOW5zASZhErzpbmX54j4KmbR1oB85QrlcCjnuJPFWbI0OwC2ZS003XPtAMgWry1eoTUocLHkl9/+YIyeO3ft1uKvTQZRnUyNXE/uGD6CWbMrV66iTXRi0jMmQ92qZ98eQfWatfHkxEmoUauOCZijxGUrIK/ta4BnV5c0jX3c1riymzZjgkL5ihWjxrG6tpMyBhETcPMVvdPQKciSztpDpYrqvEyoKFeOucbYhTN5WZd1vwzLl3/tANjWe40BbJP3RFnFH1eqssUUlm3tz9hHA9mivXLwxK3mt98xHK9On47GTZowNssjhw87LNXKBVuLy7Ys2FDkZVYstlV379iON559Ap16XsnJzmys3sa+f//B4miP7tsT3WXc5i7uZBq3AWy7QGl4N1sDbkal6uh624PIrMytaErgU7Kz2+CsxU17gOTkFPS+frCxjyNGSf+t1k4p9ocm6IoVK8UGsvU4KzVplr4/lR9++AFxAT+aN5Px2GBMplQqVahgdBIaK6VSxqIHFOt2d3Etbt0JwPW+a0MccWXn561cIQN+AtnxEmSTq7gf/gC3ZrNYZwa2TffxSHEe9i6fiYbX3ceswtI6TEv5TgrO8PtLSstkbejsyeOMoyGjfAXmYSDbJrXLG4fcijfffgdhYh4X7OOU7ouAdo2a1VGzaiX8tG0vA9usMjdysmzHo3JWGm5tnY0X/twKHwFtitNmbuQ+BMiNPDGAOHIlp5rox85wIXM1POoNse8CGjgn0L2jMB9fHTqCUW0bMxd1Wb1xRBTnhzeOCJQCmLXiF9zU6yKRUUNk0xAKZAoZ4fObD0dzchSbba06tTF+4mTUrl3Hpc1Z7V13EzTjsPk+FGc98qnncfbkCbw35UnWXuystPlnT7N4borLvmfiNKSlZ6JOdhPWF7IqVChVWepWHE3OKf3wNlWlMg4dpnZvasMOHTnKPlaqQHOSJbCXzySLNlfKqB8YY35pVxUj0qZwhDKKHkm7cdMm9Lv2OuTl5bI4V7LUG4oGmxLCAsMirEvOzaK7UggZFWnRlr9n88KRw06QrR1fH2/Z+e2AyiZOOljttfFKJzmjbb+vX8eURbt37cT8uXOwb88eTJzwFAuv8IRtFmy2LkAl8ywhMEoguwBbt+/ENQ9Owk2XdsD9V3eFL1TE457zhXu2iJXmsdMcaFf2+/Fgu2ao4vXj2ImzmPv7Ntz+1Rq8/sc2VPbFYXyzJpjcvClurV4THZLTUCXiB/JDKM4tNmowL8hrvljmBZEW8uC8pFQMqV4dz7dsjnsa1seBk3m4c8UvePnnjcg5mYuGaSkoCYWR6fUhVFCEUH4RX1It5EvK80yAmxQMLw2/Dh+u/BGrflqPCN2/sOJL8jePzYWcpZqKhNHtkq44cOAAdmzbpt7L0aNcRqpQqbLxrrKyyuOkUEjF3Ddt7dJoG9p0QSd4+OGHcemll5bdFwgLKDlLm3W1RmXI24JAuXmDOvjrnwPCaCdTBVuAkK7jeF6hBbQlM3k4gvIJ8cjJK1BWbl71dV7lfGgXZyk3dzExkTtuvJQHp2kQjxw5ivz8POzauVM8f0u+1YFkNABpAGxtmwWY7QDaqnXq1Makyc+hbl0+L7j/xiWsyDVO29rmBOEa2NfO0ahpcybrVahUyYgVdwPY0EG27dnIbc7GG601e5hcTEXOkbKQElLiBflK1dtysWbbcY6hW7GJTnI7ySv/ret4YhoiZykOSt+og1WrkOvpsKmz8NyIAahUjoNn97zaBM69OHH6LPtdhfJEACU6qIeAdgXk5uUjN79QpbtxgCPjOtgHtW648kZbt6u0tXua/NRj2Ll7Dxo3auRqDbe28WM+NeFp9OvXD61atzG19lFAtpwM+UtzUszH4grukFtsA0O0ydSupLNrM2+6/U5WzxVkO7bpS9XBhA3ELgPROTxAzlEuUJVnApW1j4o/YgmRbSfzAJUqVWbspMFQiAnCzP2KXTgJrKSFFFTVwpHSzY08Fisey9nrsbs3urUvO1eAkyTNHrMtLTPjJzyNqS+9hDp16zKQQYNIbm4uzpzNZWQ5psJFJz8TKd8EqzgDxC4u43l5eSxv4r2TXkVyWqZK26UDbB1EXz7iIRzdtxvlatRzfBfVXdxI12W6i+vvW7l52nLrGkR6ehfVCJrcGpwBbEVd//03uPKGW1wIO7TjuSmGPB7cOmwkbhs+Ukw8ZYNm+8Qk239p++/ftw/PPvssPnh/vuoM9CQOM8ABVKqoAW1EhEX7uHB9k5ttWnYVW+YCuGOwd3jik8rcp0qFdGw5nG+l7FKu4WLp9wi3cWGxRhg5fyxHucYd0PSWCYhPSmHf+Vk6LSJJs8C2tGgnp3MCqDaX9EbOoYNIL1cBBXl5OHPmLOIy0hAKA72v7oeb+1+DQTfcgCrl0hmJDs9hGwdPIB4P3D4Iwx5/DoufGAFPfDy8wRB8IsULxfhd2rAmfjt4DF8cOITelSuptsneIbHWhsIsxzY9uhHVauJQcRFqJyeze2Px5kSgFu/HyUgIL2/ZgZcuaYfExHgBsglcB+CLk2A7gJDHi5UbtmDsrf1F+krJQSLANhsTfKy/p6amqrFFWlJY24noS+E+zqzWwo1cgKKIcB/nQIm7bxIzud/nQ//h97CwrW1//Y4Frz2PzPIVMHD0A/jhy0+xaf1P6D3wVrS+4GI+3Ho8uHrIHeg3ZJgYfmOH2cY8JTxITYBpqYsaNOBx6dUqV+Q3KOh5jxzl6ecqVSgnGig/COsLJ07y/MRGA5ZjixTR7Q1czkaCQbaUPuEJlK10ysvPwxdLl+LLL79i1/Lqq6+yvODyno3noMkG0Z6Tvk26QPIYbev3JNjm5eayuYGHqVkgW3GuRLHUiJnd+lIbU11BtqHE4W1r/DPPYs8/O7F3z26sXr0K77z1Bktd54kIS7ZIX2WAbMkmziy7hfhu3e+YNGsJ3r5vMKqkJDLwTZZgAqksdVNhMUIslZNI51REBFic9GrXsTN4Z+MOnCgoQo8qlTC5eTP46ZbIkllYwrIUcMZ/LStA2L0t8CnbWsrsCDSOpfm9uKZyZVxbrQp+PX0aj37/G+qkp2D6xe2QFhdgoNpiNbeF64hnSDbeGfcMxg3Pvo2stFS0atZIm2y4HKBC3kpEIj8hI4x/chweeuRRzH1/AXsnOUIBW7EiN0bIklW+PLPwsb7gJpBFKXy44x1TsmEbT0nLxpGUVPa8wMiKPRK0yi6sx6fojUvevwctsuti3ifL0L9zazNNr2qVYK7jVMh1nL1PEcNdPjEeecEQcguKkJIYx54/C5thz9OjXMWt9+MCtImxPBaALfoNd7bmyymTJ2Hf/gPM+1DJt2Jc0cMuXQVlu6xs2y2a/Ox6HO15R4zPcuwl12/+bAwZTO6gtgsHdLWPNmbSM9fayS133Imb77hTPR39+XmkeOd2v04x3lROuMha9pJzlPeFClpfYIY5YdHmMhD/oRzzHK83qhLSZVDWmgd5h/23Fu3EFAcBmWXZFmzkXh92Hz2JG555Czf17IKWDeoYpGhsKQcUZvnm4Dvn5Fk2KGRlZhiWvsqVuHB58OhxkWPYncXZslJaxFYm2Zldw23bxtqZDbh7PIiLj0fj7GzNaq2DbN2y7cV3P/zAJkMiOYGLu3h0N23dhVbXQpfhCq6Ro6nt0gVddxPXmcX1/eVkbFi4LZlcij9645NtLjYx3d6AbCuGwsbc9cjhQ4xdlbHbag2ftPkUC0JCRTS3w/PP74iff/7FVKTovdb2jjkY1pQ3MVu0nbmynYDa3lbtTOQmCKfvcoSr8COPPopGjRtzV3GmravMth86dDBmkO3Imy1q7tlcPDFiCDIqVEJ6uYrOvNja7+R2sraVq1nPdBEXgNpiibZI91w9N3ThUtegqGbgkmNR9jBNyOOPzWJNlr9RFjv9s8eDnIP7sem3X0wmTofmVgPd6pw6WVS0gd/d1crQSntK2R/Atq1bcfvtt+O1V19BKpFFag/s0OFDLB47LhDQhLcIs2iTUEAp7bROqwkJLpbtUnrt3iPHUDEz3epsNN/GqUi5qKVKuWQE4gMIMFfxAHMXV6zdZMFm7N18PXQ2B5vfewgIFSIxLQOJKamMEIyxetvANoHyQrJoezxITCXgHEHLLt2Ze3p6eT6hHj58iKegY2OkF/c//CimvPACSoiBnCzCxCsiaqVKldCobi18v2mXRYwmyNH8VBPjcc+FLbHu+Cks3H8QnkQ/4lLiRA0gPjUO8SlUA0hJS0CDCulsG31H+wSSAvj+9Ak88ecmjLugFcpnpMKfFA9/Uhw7NlU6F53XE5eAiYu+xtCrLmP5vREgpnSywvsRIQFVhkV5vPjzr41o0aKl6B/W0OXaXzTrAQPcyjtAY521WbZpO+UNb9zqPDw6fRZuffApZJWvhMuuGYjHps9GmwsvdvRHayXGEkUxHE2iyW7YEFu3bXfkoiWLNoWTcdZz6zuyaLO+kF/gnFiiXacDkf/vFm3KO5yXl4+JEydi5syZBsg25iq7At5etTk9rFm06d2lZ2QKizX/PXnZUDl46JCWRtE29hrntZQbZQMK7QkZ1ilrLCOSxpo1amD6K6/g9emvwEep51gueMsNmizblCeaxWOLdF2RIAfZX6/5BS+//zkWPDwUVZITGJEYrxbBWJAthcU4jy+Pn8zDxDUbMO23zRhQoxqzXF+cngUPgeu8IIqFZZqWxflWLSoIOWpxYQjFtCwIIVgQtJZk4c4PcUu3WA8VlqBNchqeb9UcHbMyMeqbn7Fhfw5CBcW8Ckt2SCkJKO5c1OIiJHoieOf+mzF22ns4c+o0T2EWEmnNWMy69txY9gFe69Suhdq1a+GXn7lr7uHDh5GVlYX4+Djj3ZQTMlJ+Lg/HPNeiTx3u7dayPJbaXpjBwjSKmeF1OjmtJRM1qlsbW/Ye5HiBskWoFGsciNNuxymMhjzdEjhBqATOBLSpHMnNVwBcKZh1dFTa/RsDXUxPSz0YmqPvGjUSLzz/vJklwq5TsGd3UFS9bop+KT9YbtquhGlGv5TedLbfGMcvjUlcJztzGiGkdVyFKEW5bvuYIYsuiutjialM0EvpL+PwoUOsL9izYci+QPKuVbQMGbbxUJ+KZHuXzSZajdWiHTvQTki2MY1bDODUWY7l5uOJ9z7Gw28vxrPDBuDqi9o74rktrZ10Ief12OnTyEpPYwQ6OnBpUKcWO/f2PftKZXm2ADTdvAak7Ou6lKCpU0zXYu3Bldp6rGs4m5uLiROfZRYpBWJLcRe33LutidDBEF4KuFYx3TY3MwvkaNUlLlsH5fZt0n1NB0f/r8s/O3egdt16ju0yBuOYg0lQ6WPRo3sPfLV8uU2RIgZ6R3twTgKsXZdVSHhXv3fGWpshDSaQdlq2JTs532/JJ5+wHKqdu3Qx2kiduvXZqXfs2GmAbIth3L5NpvUiDxO+lNtfffoRXD/8bgQSEkUct5Xyy5nCy0Z8JgC4nQlfhSG4CHmuM5wGCsxuZUsFIbfJiUGAB86GaaYoMtyiNNfxX7/9GtfcTFY4yaSpVxewbQPw+uRiB/FqknED2frE6jKJUYskRtkx992H92a+g9q1aoqHaRG0bN+xE/XJHUxp0XmtQGE2pM09RunutO9s+5k+o1HeBYCVv/6FS9s21/oT5Q4qG2hXzkxiIDsQz+OZA3E+BAhcE9imeGW/F6e2/MBisZMrVEbrO19A3UuuY6kbidGbKgPbfgtsS6t24dmTDGRTbLfst3NeeAqVatZmH/f+s9MIW2jZpi327duPg4eOMB4FCbKZYswfwH03X48XF37JgC25j5PrOMVoc0CcgISUJDzfuxMSE+Mw+uffseL4MfhSA4hPi0d8WhxbJqTHIz5dLNPi4E+Nw0+5p3H3H3/iQLAYr/fohAZVysOfnMCOGUhM0IB2AnwJiVi1eQ+O5Rbgup4XM9BNFndQWjIvxWtzsM15IDz4Y8OfaNGihaMX2YG1UhLZUrtI1ljOBu0OtmXfig/EIT09kwmMtLTSfNm8P/DfFDfBhc6Qnd0I27bv0O6Ul+07/0H9OrVNaczjYdwuVMiq/X9V6D2VVW697TbcNGQI8z7SLch2AO2W2tMcS805m8Z1ssxQuhqK79fn79piXti1c4dNUe+SPlQKlHYAXtp9i3euf9bELVZfm/4qRt45ghOGidhiylsvyc6kVZu7SJO7NAfZK35ch7c+Wo7Z9w9BoieMksICVhm4JiZv6YYtK8VGFxRj+bb9uHvVOlyQlYUJzZqghi8eIQGOFSiWYFsA5GIJqKkWhVBUaFb1nQG65THleoidJ1TIt7dOScOzrZvhnb+2Y9Yf2xFk1yks8AJ0s3UC3EXFCFMtLkJWQgCP3nA5xr48E5Eg5QunZyPcxpXLOH+OXGnBiRFHjxqF1197lfXdXTu2o269+uLNWO+HvP6onDh+/Nz1YZqBRQEPrYHIthSTpVy6jjuyAZWWEpUUsgElxyiLtpg0CXTTfuS9kEHjqbIm8jZdO417ve4+ddboeEqGFWOdMXhqpbA4hESlxHMxCEV9aFa9+KKLmMHtzw0bNMnTya4dtbqAa/fwtjKOocsudmCtMaAbsddaf9cfkeTr8Lq6pNvix6Mp5eC8Rku5oI0v+jJGZQeNfXXq8XFQL8RnQcWNedwY8zSE7aaULK1Q5pH/1nU8IYU1+tP5Bfhl8y78sX0vNuzci/zCIvbg0lOSMeDS8zHhjgHaG/ba4rK1TqfitL04dvIMYw5VbuMC+FSrWgXJSYnYunMPeneTnUoHwxp5mXGx/wZkqx8bAM20XIvfqOPw7x559DEWu5KSmuac2GyW7HCpLuXmdnYufZATGyKlaSLLeI/mfqUTAvy/Lju2bcWSBfOwddPfaNxMCv1mzIWcROrWqePQttJratW6FcaNG2cyWzINDL0vYUaV1lTdqspcakSbLKPwlHQxhChoyhjTuq3neJffe7Fy9WocOnQYVatWVQyQUgCrXLUqcxnfvm0bul7Ww2bRFpZs2zaZPksH08dzcnDLmMeRnJ6pYrYVgFYg2wLdbvHYKi2XZs12taKIxhu1PenAVR/cbe7dDm2rtNSxOdj83vgNgPwzp9Gl15WoUKGiS5oKp1bXPlG5uYvbtyEayI4ycbFmEYlg7pw5+PKrL/H+vLlIS0s1Ujtt2boFs+fMw8a/N6FlsyYWGzVzyyTWcc6yT6ES9WpUES1PV9XawLeunnUpq9b/jRdGD9Zmm0hMFu1KmYkMYJMQxFzDxZLcLiMlQZzetg7FJw+i8YCxiCM3aiMO2wLVVC2rNgeFhSy1V6Yh9BCpZkJyOhISkxjHQMllPRUXQYnXgxGj7sJL017BcxMnIOKNKLDt8ccx17L2zRrhk5/+xFXtmigQwF1LxbP3ejC4XRNc06QO3v9rO+7++Q8k+ryol5qCKkkJLBVeUTiC44VF2CU05a0rZmFat/ZIS6YUZwEO4BMFiCeQncTBtjcxATkFQTz/4ddYMuUR9nwp37dh0Vau41wx/fsff+A65iUlByxHF+Ku4/q6aOOsKTCQLbS0FEkj/AXDmhu5ZI+NJtno7fi/QtkOQUfcHl1vrVq1sGfPbnU9W7Zuw+x57+OvTVvQsmkjx7FkX6A47brVtRR+/2WJwXWcOVraXpFhHdHAi6swpynCdOsKFRLeyaNLej3L35rzQs/osoU46b+a2w2h2fTUoTRzv/z8Mx554H5F4sWt2HqssbDUEqBkLuNF+On3jZi+cCnmPnAz4iIlzFWcVUYkJuKbyVW8MMjdxguDOHE2H8/+9BeyAgG80Lo5AiVgQLqkmNjGKe1TmKdyChEBFncZl6kjWSivNp/abs827gsSOG0s84U4gWM45OPrAS9zR0+O9+GZFk0wd+9+PPnDH3j8/OZOlZgKf7K8OS9sXBvL1v+Nj7/5AX27E0+Dnz8vUrCx50gW3RIhk1BubS+qV6uKUDCI0Xfeib//3ohmzVsYQIb+kBWPCr2XmrXr8Cs4hz5rtF/L19mQlWKzaEtZXj5h2XDDTnlbt2x7vWhcpyY27zuEJpUzmVHOqF4PThYUITMxnrO0ax2sUlIikvw+7Dp5Fl3FNkc4SSnXXxgMIp48x3RUeC4PTszPE595GrcPG46PPvpIPAfhQs58uMt4bto4qytKXGFOtEvRZFp9X+7FLg7MBGbzSDQfMAWeaExeV/dy/jzZJjFe8w8eZwOyXaDHvhS/sd+jfb9ohQgYP5g/F5v/3oimzVuY8jyFFmRZSqdatQVecBl7Hd6xbgaiKO8tVtfxmIH21n0Hcf9jLyMlKQEdmtTHBa0aYcQ13ZGaJIUxp7WXa6Cc5GcKeMu41JOnUY65jfPfShBCLyK7Xh1s2r4T1w+7l7mWvzH5KSfAdrTC6MBafxEORkQbWLLOYd2Xaan04KNPPkVySgo6d7nIBNEuIDuqRtu+j/Gyre/YuvgTFWwbK27fl54jrpSfRy127ZNzYDO32z/LMu/dGTh6+DB2bt+KPv2ujQq0ZZ5II02CuAhqMzVq1MCevXtRq2YNyxeITqrFH7mD7dhYx0lw53my3ZQ6+jatHUVlFeYg/OSp05jy/Ito1qwZ9u3bZzNI8ous36AhtmzZjKE3DUJGZhYmvjjNTPWlW7RdAPL6H7/DN58twcjxLxgx2Vbl5Gq6u7kiMXNxF4/EYM02xl3teevgU7esWdZil/yNypqtucVKYUgAZp7P1fru/Ven4JIr+qJSxUoauLMBa/3cUtAqA2TrhKhKAHVYtl0AOSI4sH8/U8w1bdIEc2fNYuDTAtl8+cZbbzOly5Zt23F936uUpVtKFuQuS+WYJM9zsWpL1zljKffR9jty4hTyCwuZuzOXQgmU+biltYxSMT2BWbFlSivm8p2zBwe+XYDkSrVQp8dgFoPtE27h0mKtK02ktZWBbAa2+f4FZ08iiSyr0hIBoO+wMezBVq9bH/9s34oHhw1h48IzL06DLxxB63Yd8PYbr2HDxk1o07wJSzfG4rTJShQXwpihg3DDmKeY5aJ7y/rsWH6WvcIHj98PT6CIEZb5EgIY2qklbm3XFPmFxdh+7DQOnMlFvM+HeL+PCXr1M8n1XYROEaM6Iznzi7hsIlojsB0PX2ICvAnxOFkcxq1TZ+Ol+4YiJT2DMaB7/PGI+OK4m7twG2fWeKaMI4KdIywDAfVJ+8DsUPJIkM3mRx73zNMYWTHRIOVDmMfehdmYKOOTdXDnAuglkY2jfVtFzU1aai9DeJGymGivPFuDGZ/NLtHvR4iYgiNh1i7eeOc9HDp0CFu278D1fa8QY7l1XqakJ4v28VOaTK8PNkLR+m9VyCTgk1dEWbsx2cUsFnZ2KtCted5dIakr2Y+RRTurvCE/8O88qFe/IbZt2YI7hljzgn5so+m4yA6aDM13kHOpJlBLrKV+KxrDJx9/jJsGC5JJ5onD01pJwK0ANqvcbTznaA7GvfU+PnjkDsR7IigRrtUErEPSAqwswUG2PHIqFw98tx4jGtZF05RUhIpKECouYSC7pJhAdgkjJiOQXRKKMN4BStOnc4foWV7096O3Zd1zSYaw+MIe+CIRNr5QjYR98NpivW+sWQMrco7iiTUb8PSFrUV6LpHmTxicWBXkXtTPH7/hcvR96jV0bdcCGeWFh6giBiNlfgkH5jR2Mb4ZL8ubTbHwNC4Q2Z6uIKCbIWWMtOIZInK0Rqv1S0d7Ft9xlb/H+hwLABWerryFysbKs37I1s6C4iKm8Y3kr/NbNcHav3eiadUOfCy0Pb8TlEM7ibIYcWMeKJUXvIybok5GKnacPINRX/3Ixuhne5yvgVerWtwv1rgWKgkL7yn9/qLcq+E9xpUHBKbprijkdfCgQRgxfDhenjaNKYdZnDjJl1paOddn7pAXTOhCczgp3Xbt2sWWlEOa0iEmJCQwjxdyoW7YsCELe3W8JkPmlZpN5zbZ3xnYdksBJmPTbfIzbx9i3IgCLjzij8MvygXClVXee2cGCzPdvm0rS/FpjFVaX6Cx032EtQZZNUaWBY5sl/ifk6HVqF0XiyfeB7+R01o/qxA35ahFl6Es1xaroIrP1txGCsjFRuTotlv6GtWvi41buRvZ4Rweq22dT79lF8RnB9nad+5pB6z7KjOVl8eLnbv+YbFYixYvdk5sdndxnDvItue2NsC2seIE0dGK3n5K3Tfal27tqpS2ZoJqkxxKLmW9Y/S9WDjnPSxf+hnqNWjoOFYJTTgsn2qBmCB0Ic1av/LKK5kC5J7Ro0THl2dgJp3oYDtG7ZTK6x4VYFvrDsZxQ1q5WOEAAQAASURBVFljuY0T0cmTT47Dy6+8ytjreUiAGW/foGE2tmz6m/3m6JEjjjhtttQszrLSZyLMWfDWK3j45ZmGu61rlQziOti2p5QTbTmaNbu0BqFInAyQbVniHFWzXHPrp1xy12/dFVzuT98d2fsP8s6eRrPz2mu/dbNm625Runu3LR7KdZvJxClfvVu8OeV+njbtZaxf/xsmPPkkGjfONoCvlc8zjDF3jcLM2bPxyRdLkd2gnmMfEiR5Xyg0QbbKw2yzZjtcyS3w/crCpRh1bU9NeCDG8bKt2VQqpMUzF/FQ7gkc+/t7pNdpiqITh1G3x2CkVanDAbYC2mJd5NyV7mzyMwPZbB++b0lxEcujrZPKUYz2Xz99j2p1GmDXts3snZ/IOcqUSrItPDVxMu4acQc+XPQBEn0B+PxEYsYp+hMzIlgw9Snc/tgkHD19Fjde3JYDXMoB7uekZSXxAe7mSTl5gyUIpJTgvKw0tBHPnL9kIXBKBQNL3SXSeBHQphRnxDQez0H2mWAYN784G5NHD0GT7Aac0Z2BbFIEcKs7B9sCZJM1e8OfaNmqlUPx6tqtYJGh0b0ywU4IQxx3aoO0l/otl0YY5BaCCcu3yv67D+gOxZLaaBUDWAvJR+VnZYKoBNi2g2tgjkqTpk3w96YtaN6kEcbcPRozZ83CJ198iez6MqTIAtCyLxQWFhlzuBrcOTrg98rOFfnPrdnRgDZ/nmZqLYcHm9rPfBz6pRYSQVg4JMLKTItM/YYNsWUzzQtQ84KbnOE4OLtoC0xLWVvmPlYKGPEOLXWMnM2B1atWMm4JmfddujvzVFXkQh5ini0cZBOJWRFGTXkLk267FikBDyJF5EZOLtUcXHPCM0l+xkH23mOn8diaP/Bgs2zUiEtgcdKhopAFsmnJAHYYoRI+NjJFc4mZ/lIniePPVhJZaVZsASzZuMTANR+f/BEP/DQXCvDuD/scpvFuFSqisCSMZ3/eiEc7teRjAwOIQQ1kc5LIiK8YAZ8fDw/sjafeeh8vjh1uZR1gYS8hLjOHaSwQQNvjwzMTxuOKK69iAKthw2xNfhIecEJGKtJy0esKOUfbZBZK02KtNxM72KbxJZai+JhkC2fkbPTkRYpNksPoaNS2RB5tKRNd2Lo57lv+HYb26KQZ58Tz83lRGCph8gn/HIaXnpEAvPUy07Dt5Bl2T8cKigwtim7fsMR7HXzHdGvaA7LmZNa6CEjTkwp7cf21/ZiXWv/+/fHGG2+gSpUqgjtKvKtI6bKyZSCO4O+/NuLrr7/Gjz/+yD6XK5eFunXroXz58khMSGDKl9yzZ7F37x4cO3YcmzZtYvfVsWNHdv5q1atbx9dlXvYAnGDbsGy7kKRxZYE1cMivDUu6epjmjf53gUfAnXfdi/lz3sOXn3/GjFDqbOKUJZTPXoyduneluyexptiM4jVsL7GC7HMC2qnlKqKYXNykuT8K0LaDUdnhFMi25+L2eNCnWxcMGTMO2/7ZhwZ1a6vf0vHatmqOxV8sw9/ffYlUYh43JlH7+bXt6msdUOvbon2vSdHGvmYe7cKiItx9zz0s/VIgEGcKGDgXd/EyQLbNvcxwQbOVsuSHc1DWlHqQWAckV5AdRVtHO1etVh0NGzdhH1u2Ps9xvA8XLmBpUi666BK3eUGVrpd0xeuvv4577hptg/IoFWwTm3hM98XiuD2lAmx2aDWyW5E1duBNn7/4chmzWrVr3wG9e+/C7UOHYsd2Hneix/W3aN0Gn328BCt//g2JSSkGk7dOisZjsy2rdEFRIY4fz8Fj09+D1x/vmitbAnKd7MxK1+V0F5fndLNm81KGRtMBsi1yJmWl1q3VNoCsuxwry7dmHaXeWr5iZYweN9mxHwPlKk2nELDKBNkmMZq6dg1MGyBEA9ihkhA+WrIE786cieHD78BDY+8Xk54FeDmbtBBWI2HUqFYFzRoREAfatSYyLBM0z//wEzbJdrvwfEtKLwtYwwmyjxw/hY279mL80OuMgSYWt3EqCShGuOAE9n49ExWaX4D0mg0QqN+UC6fCgi0BNq0HBNmZ/s6lhwJ/LzzNF/2m0fmX4KPnHsTxA7tRvXZd9iyJQO2nFV+gYfNWWLPsM8xd8ROyMtK4YM2OFUG5ipVx2x3D8cjjT+CFyc+aChEvkOD14r3Jj+PJaTMwYto8TLr9OqSnpiJM1uiiAMLxfpQUxymgzVLEMAsWz1TgBNpceCarNgPalMIrwBnGKbb3VHEJbpk6BxOGD0KrZo3hodj3OOkyzq3Z0qJtkaF5WL7a3r0vNy2htq5lkxsVWKBduGVbDnt0/daIKfeVfCL8sBboLg3W69Zto0hrtgLNElyLpqUzjWv78u1ckJfX0blzF3z3/Q9o3rQx81Bq2rgx7wttWlljJxNsgfkffSH6Qgft5SgIZXXOf2nVjsWzg+0nXVltD0V/nA6Q7aJA1y3ZbK8IcFnP3rhr+O3YuWMHatO8oMkIzVu1wReffISv1/6GpBTKSOEmU0S5byU/i3eqzYfKA0GXQbQ5vbi4CAUFBcjISOfxxTawTRbtCJGgCYs2EX+9sfhzdGpSDy1qVkS4qMAC2YxNXIBtVjnI/ufoKYxbuwGPt2iMSr4Ai48uIWt2kbRmk9t4CUJBziNC4JotVcYNjcfEZryQz4aP1bz1WTGrpLijMYmD7UDYg3AJjV/Cks0mP6f32xWVK+Pd3Xswb+MODG5RH2GvF2Gfs/J0tz5c2LgOZn71A/7eugPNmjQSmXj8/BmS6zizZpdw+TlSwuaF6669lqWQPa/teWJck5Ip5TXnMlLni7uaUq5LfzUwl1t7dgHbDBDHUJQxTUnAtCYzvIhjsCww0ttPLL1eRnh4jDIRCUWFfFZSWdGjSR2MXvQNi8WuRXHZPpbYmp2mRaUsfLlzP1bc1AvJ8fGuuERZs9WEbUfgZRRdIc3avPidtGyzsc6Lnj26o17durjt1lsx5v4xuPTSbmqMsDnlOJQhhw4exPvvv4+VK1cyjo4e3btj1MiRjPzOMQnoRxFjHVm5f1izhnnOJSYmYsyYMWiYnR0z2OZvS+snUlmqz0FCTpIKVdjlafG7/6tCCoRGAi+0Pq9tVLzQ5eKu7LMOpvlnuxGUr8Q6Q5B8E2uJfU8ibSESNA086wzkJngWFmw9Hlt1KCdJVL9e3ZCRlop3F35igGxaP79ta8YoevhIDrIEAZABagzruu5HE61oX9oRX1RrtkluRd8/8OBDGDFiBGrUqOnQTpsW7egg27AUSrIzwUJufbaOYSdJswBW6VVONhJI2XNwu+Xk1icjR3HTxtmGKQfItukzTGBibf/9119QvWYtlrZEPx1pqd+fMxtXXt0XqemCHVn7Xn/WpPioUbMGtjNCHTWFGu/TAL3iXcdEhKZSV2htRLUX67hWbL+NZVzbNyK8OV55dToee+wxdp1XXnU10jMyMHv2LKN9kIBwXrsOjEWR8gamZWZp1m63uGyL/OzdqZOwa8sm+ALxmpXbZqEOm6zhehtToFqvCtzZ2oGmoBI4xN1KzdzqzO+kRVoBLgbWtMqsoxaYVlWzbstjrfxoAb75eAFS01IdJGi6S7jlQu4Osg1mciMW3HRv14lLSEtPrS4v9yxem/4KrurTB8dyjuLjJR/i6iv7cLuaILghohvL3VJsE/Wndb+iVs3qqFyxvNpObztcEsK77y/CtVf0QHpairBMhqODbJc82vQ5FAzhzikzMH5ofyF4WC+UyC9jKTUrlUP5ylXR+ubHULPdJUihOLk4P6/xPiTF+ZAY70ciLeN8SNBrwIvEgA/xAS/i/V7Eicpjtb1o3qUnElLSsG7pIiUYpWZw4qvslm0RChbj2JHDSEnLNNo8CdndevVG+fIVMXHSFJR4/SjxxiHsj0c4kATEJcObnIbx992JIf0ux8Cn38DCnzYCSanwEflaagb8aekIpIuawWsc1UxR5Ta2Txr8aWkIpKbBn5IKX0oafMmp8CQmY8m6LbhxynsYP2wQzmvZjHsKCGu2BNkWCZplzaa0lmt/+hlt27UzXYtLsWxbo4ud8d7ORWDz5NDJBrXfKIZ82z8dbBmujqrva4SaNgBpKqJdlmL9ggsvxPc//KAmiZ/XrWehQJXZvGDN4TRezVywBNdefhnS09NMrZe6Sn1VH7NjLDGQArIjK4WB9k+On9p8zud3LSOJyjJiKS+NcRhAzyuuQnp6Bt6fO1sc0zp2a31eyMgSnk1aCJBGjGkpYbXPct5weC/p79CSbWT5Z9cuZGdnK08a7m0jlYUWKRqzaoeCOHHiJJau+Q0jLu+MMAFvsnAzKzfFWfN0XSVBslRTDaKwoBjjf/4TT7ZswkE2gWsFskPMdTwULEFxMIzikgiKQmEUlcgaYVwKhVpl22kpa0kExWJpbTP3KdZrSRjF4TCCZDknYM9c1sOWVV3Eit9atxZ+PnQM23JOiXsJGfdH6QRlWkF6LuMGX4lJs5cwy39E5dEWz48AtzY30LM+dfoUdxXOyDDkJ1IEkozU5+q+SLfJSKUWXdOj62T1r0Vbi9nq65qJRWYOstzFpVwdYeE7VgrghrWqYcfBY2xc5JmNONAmheblLRogPSEOC//awcgBFQj3edGmagUEw2HkFAaRlZKo0k3qHgVcQWp61p7OL0RqYoINU1hjCL9vHWBbYV5qbtaqJLBrUL8eFi6YjzU//ICrrrwSiz74gM1bXCo1K8kL8+fNw/XXXYfHHn0UzZo2xWeffIJJE59B14svQnycyDxif1HGS+M1IT4e3S69BHPnzMbYsffjmWeewXOTJyNM8obNQFBq1hSbN5/+2WQyd9lfN1TAhg9iV2uYTdVQQgLrf/kFNQRe0J8EeUjPnzOL44W0dGPsMuYco/27MI+XUkkWjbXEzjpOwDkl0+EOrpOa6S7iFvmZcAvRtyltF38TpHEZ1O8KzP7wUwRDZO633tLOPfvYS/z6ux9LeTWxvjIBpKOOFro1WwdFZudbtGgRG8h69uqtPXiby7hN0HAD2Q4Bw5EKSQfwuhXRyVJeFoCWk2pZoNya9GVMp1Ows0+4zrZStru4Drr1V7d6xXKcPnUKB/bt1cVLrPnuW5ar84abbnZciz4xyDr4xhsxZ948w3JcKthmcXgxWrRpfxKU9XYi08oZMdje6C7jYtu0V6dj2B13sDgeum7SwPUfMBAL5s1FMTGSam7h//yzi537u1UrtZRaWoov3QothKldW7fg7JkzaNe1h+FKbuW2loodK82cCartLPa22GztFcpB27IEa8RkOgciKam1WGvdOs2IsOwgW0v9JLdF+w2NfUf3/YOfV36FPjfcYmMWd7qMKyt6FJAtPxsgxWDp5OBDZxMnnoEnx43DoEGDUKVyFXz2yUcYOXwYEuIDTGCSQFqlb2ECFRdO9Qn7qxUrcerUGcY3YE3qEaz6YS3+2bsftw28xukqroA0PwZfmpZtvojgsbfex/WXdkTzesRlYGvjNNbHUOjdZFdORXK8ANbxPkYQRFUB7jgBuAO2ysA2AW2fBbJpSZZvvxeJSYk4r/tV+PUrLoTKceXOCS/j8N7d7Nmv+2G14YkhWfaDYWD0mLGsvT8zaQpCXj8D2pFAIsKUHzw+GUhIwYWdOuKz1yfhWEEQVzzxCt5e+SuK4xPhTyOwncFBdnqGANxiqVU/LdPSGTD3paXBl5oGT1Iy1u8/hhtfmIsdOSfx2dTHcV6rZsySzdiryUJKXlDENM6s2dKKzd1Dafnq628wRS4JktarK0PbHmXKMlO12JjH9bavg3J5KLuUZHcOU+O5c0615glLVSCtBvKTQwktvk5OTmGhQnl5eewMX61YgVOnTmPPvv3WWT0erFrzM/7ZdwC3DexnewhRHpEuDcYo5nmSYgMt8tkZCkpjfneZ40sB1zr4pnmh7/UDsGjBPBQFiw3l/G4xL/yweqUz64Q2L0TzZLLmDQG6jawSltLVXohLhFJ7KeFfAg5O6qGAIoFH6r/Pz1mCMdf1gJfGJeYtIkCoWA8Xiyo+v/rbZlxTsxrK+wIczOqWbLEMEsgWAJuB5lirANmyGmBbA9lOsB1hublDDGxzoM/iwxUhG5GxRTCmaUNMXvc3islSb7svRtgW5GCbaq3y6YjzebF1114e0y7Yxy03fJon+DOl57ts2XL2vt+bOdMAOWu+5zLSoME3W33XvWs6ihuQsINtqt4YrXhMRmIhdk7jmikHaXhAcGXQ7y7p0Abf/LaJG/dkGmEBqJMT43BNq4ZY/OcOUKZuBaJ9Xuw9m8fu/fu9h4zf0HVb8fESbIv4eY8He46eQJ0q5TVrt5shTwJsq/N6XMC1/XNaaiqefOJxLJg/FydOnMDAgQNwzTXX4MGxY/HsxGdYLDd9vvnmm1ESCuGdt2fg3Zlvo2ePyzh/iyuYtg8sclxlI4cBuhvWb4BZ773Hcq4PHDAAOUeP/o9g25YuTM0VUdKzesxh2WiOUeaUaG1UvAL1+Zuvl+H06VPYv3eP8Yx++G41xwuDnXhBNxQZ+E0/TwxIm7ha/nuLNhO+sjSBwCIvYJVIz6SLuNaxDLZxOxmUeAMEUG4d0A9Hco7jvYWfsMGdvntpxmwMHnk/yxn7658bo13VOalHDIIz4xgChLtIKvq2Pfv2Yc7ceXj0scdNEG0ICnYQ7UKOpgNmFyu2AruGtVKfmOUkKEisSrFml2XBdli0tXOUxhztNvm6guwolmx9Pyq5uWexb89uRkjRr+el2PjHH+y8lAdv5luvsRjldh06ur9X8VdeU9t27fHrr+t5/F6ZYJuiUjwxEd6Y6V7sI4c7wLZYx03QTXlhf/plHa68+mpDIBt80xAcPXoU8+fOQYgEFQAzXn8Vd91xK0vf8dcfv6n2Yb5nYckQgtPZM6eRkpGFYY89q1jH+fdRlCyiLZr/tFQz2iDlJnzpKYDsRGMOy7ULIZbMoRwNZAckI7Xdos0IrfiypCSIchUqYcyzLyGOYmajEKApwBxFSeAA3fY0GzaQQsc5fOggHhh7P+677z70uKwbPv3oQ1zT9yp2DwxEK+u1dLEMawBbpHERQtXZs2fwz5597LddevfD7xv+Ytsph/yr78xG4/p10ek8YtokIpgocdnq+M7vF69cy3brf0knbYK2ijeNE4nEUhpVSeMAO84vADevDGxLqzar3LLNrdmyepHg1yzalFObWbW590KnPgNw9sQx/PTFYqY0oPf0wPXd8NJDI5lXx5a//tBS3GmAggTiMHDvg48gITkFo+6+DwUlHoQDCYjEJSMSn0J+6PAkpSIhszzuHnoTlr75HNLLlcdNz81E/0nv4LlPV2PVtv3YcTofef44+NPTlHVbVk9qCo6HPVh/IAeLfv4bY977BFePfxNfrN+Mp0fehMeGDUZ8WiY8dK4EAviUNzsBEcOiLazZjAjNi2MnTmDt2p/Q+/LLncJv6aOSw3qgQiNsqe/sab6iAW4XnK2fzmGhkMVuPZDrbtuc8yIfd7pe3BXfrF6Ns2dz8c/uvSwfe5deV+O3v/5mF0lW/1dmzuV9oW3rUhTo2gWXpjH4H4E2FRLojXcWxYqtz/vRwLWu9Kb9+t94E44dPYpF8+eyeY32m/n6q7hv+G2MKI3PCxYhJgfUpYBtu8VbyQCmt50uv+hl3969zHOMeejoAMOwaHPgeOhwDrbtOYjOzeoxKy5VZs1WAFtatzn4Xrf/KI7nF+HiCuWVtZhXch0PcTK0IgG0CTQTUJZVA9PKui0s1QdCRfiu+BS+Kj6OT4tzsLj4CL4sPoY1wVPYEsxHvrRol7iAbFEp8wBZtQ1rNlvnYJuAdAV/AN2qVMTsv3bwe2IAm9+vbtXmLvUh3HdNd7w492Oe6ot5AQgyOaaMJdDGlbCkNN+9ezezaD/x+GPYsOF31ozz8nIx4/XX0CA7G+06nm+13XM1GWpFB9uyxsqyzPoCZVLQgbWGA3SwLbO9yDGQ6sXtW+HbPzZxgjiWTlharTl4HtS+KXLyCrBo4w5EhIv5u79txb1f/siI0jYeOSl4M0yLtwTbHGBb4P+fw8dRp0oFJaDqWU/Ek9SeiqVYsgNsh2VbW09OSsKIO4ZiyaKFzK152O1DmUv40+OfwpLFi1gdMvhGpKdyL7Wo1XU20EG4vh//jsb1W28egnFPPI6bbx6CP37//V+DbS4zaWm9ooHtKNZsVbTvyyoGCBZjEYtLJ7zg8+GK7pfgT8ILbHsuI0QlvNC2Q0cXQ6cWsmM7sFubj1bPBWjHHKPNnktqJjzH94kPOiA19jKBqsE2HsWFHB60aJyN7hddgDsffgpPv/Q6mjVqiOXf/oD7R96O1NQUTHnlLRQVB3mMQmxXW/p3CvFpHckGhqwBQYCjCDDm/rF44YUXWL4/48W5Am7bdzZLdjTSEleNiwvwtYQVC2DK79S6tk/0p2E9K6H64I9FxNepDNQaKVHMRfuBO+i2jrn2u28RIo3evEV46uH70f+qXjj/gs5MO0XkHs9Pm64OKJ8LI6JQTIf8VTHNq8eD7t27Y+lXX6HP5b3VCflv6J1KShQZiRJ7jDbbNxCPSGGudT26u5HRtuyiqAT8Hrzw4kt46KGHVNuSbaVJs+boemk3jL3nLhZjmt24Kb5duQLDR9+LpNRUvPnyi4wMxUdWMZsiRXcLn/fGS2jV6WI0bX+Bxr6qW6+1UAE7k7jbuK41IdltVLsTilfLBdmD0oYhCXaZ4luyidut1II4y4jHVutw3T5z4pPo3OMKtL2gs3ksRbplAgq39F4SfCjArcVnK7ZxQT7lEfFUzz03GTk5Objn7rvQoV079eAsd0rtAaoHa+XL5vFd1kNf+e0PrC98PHcG7nlkPC7pewMu6tQBK7//kfFDvPXcU7w1KancBuA1a7ZiGxfjxKkzuXjns5X49Lmx5kvVZjFPauxAO7tiCn4/cNpSPtjemeHeL4nQRD+RrUX1EM3SSvvWaNgYTTp0wfzJj2LpzGmoUb8R9u/YiqtvHYnU1FQsnvEKigqLWAqtEiLGYlYGTq5NXZzOM2zU3Vjx1RcYeONgvPn6a6iYmQ6vL44T+zAhj6wmfkZOdEO/PrihTw8UFuRj/cYt+G3zdnz7904cPHYCp8/mmW2Y2rjPi8zUZNStXhl1qlbGyIF9kV2npnKB5KnFBOGZyOfNwLWyZEuXcc7SWxwswfA7R2HcuCcVw6sxp2ja99LBN3+ydkHIK9J50ZIeFFddyHbpJL4RE0GUM5hzP+/15pylyNDEl3awzZZGrLa1vfflvTHxmYlsA/WFJe/PxX0PPoxLr+qPiy4QfaGwCG9NGc+FZhnzKe9WxmSLuaxUVYUcsw2JS3yVzFnNYykERCIEjuR9usgADmFP+06u6zO2/C67STN07nopHh1zN6ZNmcT4TL5f9Q2GjroHySmpmPHKVOQXFDLCQM6x4SZfiA+CBMsSoCNG5gZOeuUky9M4pHH69Gk0baKlW1Mv3WZxC4fxybc/YXD3TpYrOfEeELO8qpwxPExEoKESvL1xJ8a3bKK2s9RdIm1XCRGe2azzKi47EkEwAkuRECHvljB+KTmD7eF8ZHj8qO9JQnVvAuLhhR8e5KMEZyIhHAgXYk3JSVT3JKCNPw3lQECRE2Pz0GIPG2stUMEJUTwhEm1LEPZ52HV6fAT8wuhTrQpGr/sDNzSth5Q4n3av/N6ZRZsAdUkIjapXxInTZ3Dy5GlkVYxn29i4IKzaES9XXqxavZr1hY8+XIxrrrsevS67DF0uuhjfrl7F4nKnvvKaIkKUr0Fv4krcNfojjZlOgkLVG7RMUDTexVoMQjQR6K1CnNTwwshxeIyv9I71+ZGWno7CYIgpUAIElAXZZCRAz8yPZjUr4+IGNfDwF2vw0ne/o1GFTHy76wCGd2iG1PgAXvvpLwQ9QCIBbcmdwUC3TDls1i37j+DiNs1sWWHkUCit1zIEi+ZtKRXzeVw9PBqCKI5fjYJePkfbjHb0jsit3Hghet/5X4r+jo3tHuaOTu7pNw25mYUrtmvf3hy42ZguxwhtDhBzgkrpxYcQJstyw6g+kfOGxUYL66fQD3UuhR1HyxgkL+37b3lfmLVgMR5/8H70u6InOl3YGT98u5r1hRcILyjZ2n3uLMuLo7RChoL/G6CdJFzHdRBh9F6xn/xOxlw4rNru7rSfznoda3/9Ax99tQLfrl2Hac88geG33IgNf2/BuElTseaX9bikc6dYrtRcd1XD65ptCd5soEi3fHo8mD17Ljp1ugD16jdwTpiluYz/C5Ctf+bX5sYi6r4fWzrlhVKKNXnwRuxxAG4dyf4PStKoIJuWq79Zjrr1G6B123Z4/+OleGzsPdi/by/uf/hx9LyiD+rU4XkhZUdjncLW+eT10/KmITfhjjuGoc/ll5sylMcGtmk7iwM6h0mEMdFaoNk05Ts9NsxtXhzNOYbde/agXbt2Gguq5QExb+GH+Pmnn/DFZ59i7ZrvMeG5FzDoltux8a8/8eLE8fj157Vof+FFpuu4Vo8ePoQD/+zC4HsfU2EFCpPZQgWUPOQA2brLuP4O5ROWXKdiuzaaqi4WpZis0zpo5uBaWq51V3F7rLWeyouWP371KdIzM3Fep87Kym26letu5BbQV+53NvdwXRmgk6XJWztz+jRefPFFbNmyBQ8/9CDatGqpQLMDYLN12dgiUQG2/G7ZNyvRsF5ddGjdEisWz8bIB8dhz/4DGD/2LlzVoyvq1qgmXM9NDToH1hJsa9egHf+pdxbhkSF9GbA0wL9cxifHTABFpU65JKQk+NUzUooPxfRO71R339cbDD+n1YYs9l8J2ke/+C52b/wNv6/+Clt/+wkX9LwKg+99BAe2bcaclyfhz19/QofOFwvvHv7uSlgfj6gu3q1nb1StWg2Db7oZ48c/hfZEMOf1MddsnlaLmMcJDAeBQBAJCUm44ILzccH5HYxn62b9N5XO9iwbnNGcKgfWAWNdkp/J+OwHHnoQ/fsPQIuWLW2eJKYSrKwip2WOqSRhksVMzjh/dbCtH1RIQ1bKp9JHfP1bPlZI5aNgrtaUcobAI5nRZS5vSZwmYp2r16iJQ4cP4ctly9CwQX10aHcevv5kMUaNeZB5lj31wD24qselqFezGreemndvvRd1DZbywfkMjZnJesfxSefk6UQeKJbAZgGK0uZ3S8gzwbX6rToeMGPeIqxf9zOWf/EZfvnxezz+7PMYcPNQbPrrL7w8aQKbF9pecJE55qv3Yp1PAkXe16yxj3mqSnAplYkiLREpr/TrorjwOMo7bL197UVb4x6NR9/9/jemj75BuJHzKkG1WgrA/efhE6iZnIQUrx8hsnSHIizPvQLdJWEDWKvKtlkgm9b3lxTim9AJNPYmo5+3khC8TcNEOrxIRwA1PIk4z5OOAyjE0uAx1PUm4nw/j++EBrYZNmSKvAg8JaSgCPNn6AvDIwB32B9mebe7V6uMpTv34dpm9fj9CbdxVglsC6WDp6QE13Vtjw++/g4jBl4tcmlzUjRJMEdj+ldfr1B9Yc6cObj3vvvYPETEj70u78NyZ3MydKutR2vpbmDG2GbbUY7fsRYa/7h8L1JGsVFHAFd5Dq+k2SKGdcsoF/H5cGn7Vvj6t024vE02dyFnWR0IbIdZirV5Q6/CLzv244uNO7H2n4N4ulcn3HReI2w+ehJTvvsdvx7IwUXZtTjQJvdxCbZFvLdl1fZi4+6DGH1db0NuU21aKMX5HODV5m25D117WPQZAbalnk+mWGEkvBYJm4k1HC8jZslde9raJWvCrpWrS8lmFNs/b84c3HTzzRg7dizO79SpTLAtSdyYwkQdiy+9rmCbX0c0sH2uxQ1sr1qxnGGxNm3bYdGnS/HQmHuYC/nYRzheYLmzdb2FHUG7DLbGV6XoPCi87f+EdZwKudkxwYE/eY25z64Ks4QOZcnWLdq6ZU+rPr8fF3Rsx6ru2tuiaSNUq1IJX36zGpd0iQVos4twtGHTbVz/3s2arbmMw4NDh49i8Ycf4sMlS9wnTF0YUnONpj35lyBb/bYUgK1btO37x/SkdDcR0cLsgFta+OQ5/mewbQPZdMZvVyxH76v6ss/JKcmY+voMsY/IPyhOzLqvXcOlQDf/jvannKJVq1bF+t9/x3mtW1k3q34jwbaH59s9l3sgt082SMs7sFmyhTu6tU3/zoPpr72O0aNHGdo/2VbYfO7zocP5ndC2YyfDlY+sGpWqVMW3K5ah3QUXqfdtxNSFI0jNKo/RE150ySNqi812kOCZbuMWrNAFcXNMZcOB7buyip4T2zXeWpKeRakWgObC4amjh9D+oktxyeVXmXHcNhI0CQDdyaH0VF+6Rdv8TGkjZs2ahQ8/XIz77rkXE558QgPYNkCmfZaacf7MTIDNic74Or2br75ZjWv79OIuZ4kJmPXyJO14dndwacm2uYvT5K+5jtNx12/eiTN5+ejcQqQW01+t2MebygnHYi1V0hKQnuAXk6iZkk1XkuikcqrpGOOW1sT09+Hzo/F5HdCsXUfknjiGvFM8d3it7CYoV6kK1q76Gu0uJHBBx48Y1mzOts18B9C4eUu8PXsuHhk7Bi1aNMeYu++C3x9g1mxueY5jsZGcQVmLi9Rd8/V3aFM/6R5alieUcIuU8YfKRVKCbcqXy/d59bXXUaFiRfTt108LH9LBqVORar8Ke7GEGwtscyjoArb19uAA2+4HN0G2AGkSSIsxWrdWC5HJnN/s7OMaU/n5Hc9nGSRuGHA9e5bJKSl497WXuVstAyHCRVkTYDmDv36Rmio2imVbKiX4PpF/5TZuWbRlLLopuEWf351zuHqetjmd5KnzOnRCm/adeJiPyDJRr3FTVKxcBd+tWI5W53exEZvZSM0U07ZUIpIwzMdFcsMl8OMXYzoJt8wmKTzH9H5KQDsggbb9orWxrSQYRG5+IdISyAssn1m1uUVXq5qF+/0t/2Bo/ToIM3AdsazdAmS7WrQJYNtA9urgCeSEi9HbWwEJ8PI+JRUQUd4fjTeVPQm40hOPDZGzWBg8gqv9FZBM/lkCbEupkIUeUe7lCHlveRD2laCEpfoj9/EwA9s9qlTC2PV/ol+j2kKREEIkyK3bPEZbgu0Q+rRvjmsnvIHh11/BgDe8IcVATrmiaWxa9vU3LByJnuvFF3VBrZo18c677yElLV2FDEgjhJv+TBYDfKj53PZUjI8kn59TpCmbJw8fzeEEhhK4selKVwBIrQU937DmAetH/16X4L7Jr+Lydk0tkE1LCpsoCSMuHujUsCY61K2KCCcXYMduWq0CqqQlY+WOfejarC7zLGIAW7iRM3I0jTOKXMnzCouRkpzosGir56DN00x5yCzXhsqAKV6YBw9NQGqUo/HAEwVw8+f63xSZjs82YCvgK8Y9MbZT6jEiSrvppiEY+8AD6NCxoynYy2vWAbgYM/hYYI33drCt2px+CI8JtmO7I6vI9qk8L8jr7+vluOLqvuy4ScnJmPbGDOu32typPrtas53eYebY7T5WnIvb+LnHaFMnSEo1NEGO+GtXy7UGsG0u43pV3c/QKHEhoXe3rvh46XI2+DqeVtlX7mzQNuCjrI66NlxV4Knx4/HkU0/BJ5ipDdduxQhukZ8Q6x3F2TqEpVLAtDNfsZMFVBGbOVhCdWITIW9HIjh0YB+CxHBZRjy2cT5NUWDto0/a7pr30p6+ueIsG377lcW4XtqjF86l8E4R/XrIPebxx59g7raGttIWs30ubuPsVug3lJ5Hj8eW66odiz9aH6A2TgQ/v/3xBzpf2NlmQbZZrlwGAzrGxd16YMXSzxhZkEVWY7UFOv4LD9+FlPQMs42JB+Nsj9Z3bn1KF8qsGBydTKn0SvsXnj5RKvGZo3r0fTgJmj1ftlwvyD2Dlx65i63H+XzacUjwtdzCDx/Yz9KllAqyRVokIxZbWQIjLG/s1VdeyZhDP/1oCbpdcrGWzsZiiuWVs8fy+DpJamMu1e80l+9163/HgUNHcPmlF9tYyQVpWthJvGK6i4u80QoY8he998gxPPLGfEy+8waHlVuCbFqeS3w2FYqfr5mZxGO04yhW24ekAK9Eepbgp6VXxWPTZ6oUl63is3209CCOqo9XSgWmlCZMCRjGzGceYqOsbB8dLr4MP3y9lCsUtDFAjWlC/8AE8wgYa/lrb7+L5NR0DLzxJuzZfwgl3gDCPmIlT+BkaXFJiGg1HEi2PgfkMpGvB+Q6VYq9pmOIHNmqWi7jYa+fpVSTBGgEwAkcPPbEOBw8dJhls3DyJ0SicnREs4ga/VdbyvUjB/fznLu2ODljFrTH2zmnReMEuou6c7C31HWOavOs0YeguvXq4djx4+jdq5el/JZjt6HojzJ3y2ux7+vwMtKuVylPz81tnD8DaqskXLvdY5TMI3CP0VbcLaXIBRJw0px/wSU9sOqrz1EUDCHIYolFPDGLYaZYZr6uvgtbnzlgJUsxz0Ft8Hhoru/666T8vUVFxbZG5pzkT57NQ8XMNPVDLjuRQjiMo2fyVOo8NoeVhHG8sAhVExPEdjE2hbWqZ2qRVco/BPAiwPaSPJyNlOByX0UGsuV2Flql/45c4CMhBs5VLD07tgetvelo5UnFp6FjtlRhVpX8KGxdXB/dA7vOkgjiKG1pUiL2nj7LwCGzzNO9kmKB1tmSVxrz6lQuj+2793P2cTHeS+JMPi8cRu/ulylCzRsHDcLCDz6wSdL2ObvsdluWGE3v7FzSGVGJi4vD5EmTMPPdd1mb4tDTZBvX47VZPLdQRFKtVLEC+82hk7nKK4gANwPdLIUiT6XoCwTgi/OzdIq+eKpxuKxJHXz59y7mqcj2Fa7ntC6PweK/vX78vfcI6laraMVsG0pHa36UvdmdbdxSenOuFYsQUL4r5ZlgX4r2QFkDrN+VUqMQoDIPLjtfi13hL9cRQUpyMmbNeg8TJ07E77/9xm59/759rE3yp+CSwlTv4zZdgX1faw7xuP6szAapVUuu53LK7+s5XujWQxBS2x+HQ/dn12Ja37nPQZaxSdMZqus4F7dxKufWc+gHSRka27jOPG77rOXOtoCGFu/sAOPiBGoCNM87oG8f5jq5dt1v54iyhQUz6ls2yc6c1mzgt983sGXr1q35sWxARYFsNUlG8NzECRg6eCC+Wb7M6V7uCrLN4+lsn3r8bSzgWm7/4ZvlmHDfCLwx5WkxGVjVmETLANxSc24ypTvBbVlvobQO9vGiD1CpchW0P/+CMo9lgGm7u4etg5WvUAGjRo/GE+OeEh4SJgCWChYahM+1eBjzuAaw9fZTihC4YOEixv7I25nZmi13UVvcvwbCL+97LQ7u34c/1v1sKEHkfj+tWo5mbTtaLOFSKWRrt/JZuQ1O8jGpFD/G7dnAtj3vta3+vGA6lj53L/b+9oNyJXYD2cY2nxNkRwPm778yGbfc+wjSiPVZ7iv3F4DsuxVf4aHRd+DFZ54sHWQ7QDj/fPrkSQwfPhxfLv0S8+bMwrChtzHBwwLKHFhbKVm0FC0qPYsE1xYAZ7+xgW/KkV21UkV06dDGhZXcZCY3J17dZdycaKktPDx9Ll4bcxvKU0ow2yymA/Nzic+WpWZGImcb11jGJdBmIJvANgFrBrwtwE0gO96ngW2fleJLkt/x9w5s+vkHnNelG+o1aqrezSV9+uHIgX3Y+Nsv4j4tQj8+DlrkgJIcigD34Ftuw0OPPYFRd9+D6W+9g2L4GVFamABznAvYjkt2bKP9LJAtgLYgOouQ670E2j7BMO4PYNzkF3H9TbfhqxWrmNv4ydNncMONN7F8oOMnPM3mHUWWZQNZJmmWPQeoJRToY6DsyPr0+v03y/DE3cPw2uQJpkAl5ki7oBR1/FPCk6kUdyt2uY83OzvruBzz5GcPfvrpZyawd+pEBE/6IKTJEq5uNC5AWhvE2HU6QLYNmNN+JO+cY6E4VgNglwKy9eei3q0tA4Sr4h2W8ki27Uuu7IfDB/i8wAB2mDNxU0oqDrKtpQG2Bci2ALcE7zbeDkP2iSAzK4uxKFttzf3dkwdNWpJIkSYOQsed9MUa3Dr3S3yzbY8C20fyClBRA9lmlUOcU/kgZRq65oJwCX4InUJnr0j7ZwfZ2u/+ieRjBY5hLU5Zz1UD0tU9iciEH5tK8rQUgnrVs3wIkF3Cl3K9U8Xy+H7fEQ60GagSgNuw6BNpXAmuPL8VPlm9lsex2xjH53/4MapWroQu51NcLX8YV1zeG198/pnoe2JuNrqDu9rLrbgqwbSx5Fzis2V5cepUHDt2HLfdNhSnTp/RyM/cCNEkfhC5xH1+3N6vF95euprxXKjKwLIFnFmN8xtg+5p2TbDv5Fn8uu8IfHIfadUmoM0I1jjJ2gff/ooBl5xvsZGrh+UEszqgdidA0wG4GdqllOZ2sB0pwZNPT0T/QTfhq2XLXcLBnOFhrtsEyLaymvAQNqUY0AG3qKkpKZgzaxbGjXsCr7/2GobediuefOIJbQ6wPFmNecG1Wm3NnENwTmA7WvvTx6GPFi1QeCHq/hrIdlfwRuHO0PGahi/U9UX+HwBtT3K6abV2MIp7nezjCmwLy7UhtQvmZwOUsDMZ572gQ1vUql4N8z782LrbGEupTOOGGsap3aazPP3MM3j88cdt1gPzReigmD5XrV4DwWAQWeXK2QCO/eWa2mwDtCuNNqKCawW8JXuoJliWq1iZXUONug1U+hs2SelpoGIB3C5gW38+5sOO1nCivx+6xi8+/hBXXXs9YxCM6Z3Kd+D62bzGXr16oaCwECtXrnK2MQGKGXHRORbmamoH2GT3jGI1Ya53EWDJRx+jX7++2r3Iju1CRuYySLRufz5rX599+IFDGUM1MSkZHbv1cghGUhuoPtkkX/2ZcflZt2iJNFZ6nl0Ftu1s3GZNr1iF5X5Ozsgy3IlLs24bINsWsy0t2lSP7P0Hdzz0FJq1aes8liJAA6pUrYZQMIgGDRtFdxePYun+cukXzHJw6803YcqkichITxOAV4DjiM167bBs833YRKtbtW25Uum7UHERFn66FAOvvpzHSzpYyZ0TuNR0SzdxtmQWXqshbd93EClJCahXraJDfWtav8miXf6c+0KV9ATDop0c8DOAnZtzEJ7iInz/0Ty8eM8tmPXso/CGirDgpafx69efIZh72gLbBLJlJZZ5UUno/G31MtTObozu1w4yiO1atO2IStVqYNlHi4y+pI9hfEyUwISDCGIkr5vdCHM++BD++ET06XsNpr76OnJO57Fc22SppqUC1wyA88/sewaydbAtrNkMXMulYBZn7OK81qxZC8WhEpSrUBFbt+9gBG1jH3wQAwYO0qxzphXbyUztArJtFlTX8UoMe5WrVEMoFESdBg0NvbYOrB1WCZfq8DzTzuPqpqp9NgUeO4jjldIbLv5wMdq0bo1f1q03FfZ2C7ZtnDVGMsMk42bVNp6S8R2Td86xsDhtu2UkCsjWM43oHmRR52EJ8EQKLuVCXRJB49bteV/4eBEDzUQktXvndix482X88ctafLfsc4wfMRivjBuLM2fP4vDBAzxVlQDebmm/dC4P8+0BWQJomw1AF715IbdxGnvUbCZusFpmKjt3lgasNx87hUbpqXxccgXbupyiZWshgCwA9behk2jvTYfPbsnWLOHyLpLgB+X1yCDiM/Eu2P7a79p50vFzyWkUkrXfZtE2jBfKos2t2dyqHUb78hn46dAx9Zlbsi2wbVm1Q+jSrD6LZ6fPjDhOjPFBmhc+WYoB/a5kSkepYE2Ij0OzZs3w+2/rHU/ezevknBG2nBZEuz7XQuGg9465H0PvuAMDBgzEhr/+igq2FciW1efHxR3Pw9qN21FML40Bbb8rwGZWbWbNJut2ABc0qo0a5dKx8NfN1r4MbPNjyErHXb99L9o1qW8bVzRLqAFSNXBdCtu4Y743fiu93MT34TBqVq+GYCiI8uUyYwDabhZtdyu3Bb7tgNt6uRkZ6Sz914L338fZs2eR3SjbBpYtsO3wXHGxaqtRwNbmPFF+Gksx5oXiID77iOMFCgMolcRXd/02wIKJGYx51DYPudVzBdrnbMZjGl7NxcLUALE9tCepu4zbgaw2JLi9FVXorkmo8rJB5s1Z8/Di+MfYAKN/r5/e2C6IGAyw7Ww1RuWKAH7tP/ywBk2bNEGVKlUc1gMFWeygKAIMHHwLBgy+WZtExURaCsi2PmuTrSY4yt/zxuEkOlGNRqzUadwML3+wlG2jScF5xyKeTcRSWHF82vdCDSJ3opg+SWmhs5HLXYxXEGP5ftUKnDh+HFdd2/+cfidP6cY+TivymVB59tlncd2116J+g/qoWaO6cRAVCnGOhbuOWwKcEX6gC3Wa9WXdr+vRpk0bxMXzvNlq3LNr4ty0b6JN0PX27ns9Ppj9Nu594ln44mxkPR4P0jPLMUEp6rXrVmoRPkTxrRGdkIo+MaZVcVUUkySvAfaYPfe3Tltb97oebXpdLy+NA3aNHEuSZ8lqZweX4J7HVnN3cFo/vGcn5kydiHHT39XI0ezu7Pxz0+Yt8OGX35QNshURVwSFBQV4+OGHkJSYiCWLPkBiYoIA1/rEpsdl2zXL+qRGq+ZEZ37Pl8tXf4djJ07ihqt7cQBu+95+buV65gD2EnhzS9H4dxbhiZv7WsDabbah/pyYek5EaLJUTI7HqoXv4eSxo6hVPxuVatTC4jdfRoUq1XDt7aNwYbfeuKL/YAT8PhZn2fPagdi64Tcc3LUVJ3KO4vcfv0PV2nXR+4bbsO3P9cg9dQoZ5Sqw8If3pjyF5h0uQPvOXRHQidZYW/Disiuvwcfz3sV9Tz6LpEQS6MXjodhjFZMr2if1CUZiQoMnV8YMGnILA7yrv1mBESNHIiM9nSnCul50EeLjApwZN8J5mGUqI/UM9Q6sN3pd8pACnMeLW2+5GbfeeivWrP0J4+5/ADNnvouKlSpZqZ8cMbWmVv0c9MtRS3bT5nj34+UK8PGnwcMj+Il0isPYCx+HrTlIEejoY4USfUxlNn9fppCzYsUKHD92DK++Mg1LPv4YF5zfnh9TyB1svGdzjxjIZIyiHHf/12dFpIDnQIQmC3lj6LH08jIsrzWbokTjctHnAl340+UCXeEugTFbwoOLruiHL+a/h+w2HdC+a098MnsGOlx2BarVb4QGqWlo07UnTuYchjeQgE/mvIDcUycx6K4HUaFSFUXmxJsvTwlE56CQU6ttUiwmv7aatWphxbKvnEoP21RAoWvxFMttdJkIBndshgHN6yNUUIRQfhHb90RRMSokRBt/rNbjnBuFMoqs4pFidPZlsWdiKLBtcyxdZjnEoS+qGGeQMgTrk8w7ysvI1DaX5KG1NzXKvBwx7k3/nOjzM88BRcKm9hHjiIxxiYRZ20lNTMDpM2eQUS5eje/Lv/2Jzwv9+nB3ci9t5+kAB91wA96bNRttzjuPz+WiL1tjhRwDoz/Vsor/HInQZPF5fQhHgmjfoQNmzZmLYbffhtF33Y1Lul4k8IPXIkSL8OwLVFm6YALb/gAGX34pZn75PYZf3lkoH8Tc6fHCS94A3hIRMiVvl9J3eXD9+c3x9spfMeXmPkgMxIksEDLdF7eYPzhjIUb07cZJMR1+9vIdmrmzudAor1m+UJ3lQnYkxrZjyQRMKJXnsMZAel/k/Tr0phvEacOlvCvbfKYL3VLwlUUfAyXruy22WpZyWVmYN38eRowYwXJ6G5d4TuMoFyidRhuIGPLYDlbaXt9peMG65VLatybq6NhLH3Pl721Y3LWQIeBcwyjOHV0kpLA8oMpqHS1HtuE27tRysiIBiqsVW79V/kgGX3c1cz9Z+OkXtovSh9BSHpeucRUdys1tXK+vTH8Nd44cZRG4uLgVGBOjbkE0DEdlg2w5sVqaaysnppW6Sdekmtpnaa1R2+T3erXHeevacu1Yev5tS3sc3Y3c/tjPpW/OffdtNG3RCo2bNjuHX5mv2w5S2ZPU3k9SUjJee+MNxkK+/8Ahw42ctJz/prC4bsHC72AW18mQhKWblvPmv49BgwYZQqfj2jVQrYQT2/59rhuIs6dP4+vPBTmfOAYJGks/mB37PcjuquW2NrZJ13A7IFWAR8t57VKlCzjLhc3SdcmUXWbqLj3Hth6nbY/3Vtu8Hsx75TmMeHQCG/Sc4NoC0namcft3Jkjn27du2cIUM1f06oVJz0xAYkK80j4blmjN/UvWaPHauuXasGxrFu43Zn+ANs0aoWV2PVtct1Nj7gayyUqirNuikoWkclYaGlSrZJKwsYHHVBJ4y9f4V32ByNBatmmNbn36oVPXbmh1Xjs8/dY83Dv+OdSqWQtVq1ZGcnyAkYjQMrtRE/S5fhDan98Z3a7oi1vvfQRNW56H5IQE5J08juL8PISKClC3QTYmzJiP/kNHsZgy1o60NkDLXtcMQO6Z0/jm84+MfmR5BVnjl7Q80WOSpElkzaNYvUu698SseQsw9qFHsHnrdvQfOAh3jBiJZStWoZheA7GFMxIzKzWXxViuVcEkriql7tLyxC7+6GM2r8x//31UrFQ5OvGZTXmriwL/Ad42SszWrzKK0wNHA5ya9OX43u4+jgjeefsttGrVCldeeTW2bt3K3ptzjLW4L5yC8v9WvOkV/9XvaJzjpEHWe7RCe0yQrSyySrGu72cD1tRm7SRgLA7biseu37w18s6exh9rvwMC8Rjy0DNo2KYjAkmp3HodBlLLVWYW2wF3P4ruA2/FgX178M+ObeqY0pVcecFpQFtvi9SH6b2YRhQhU0V9Dbri0fktnc+NzddpsXJ3Bz0WCSLLE4hqlZJFlzjtl6HvL599ticZG0tyzXfpAPzW+5UATV5wgs+HvGIKE9IyeYiHKuPT5XjcqWkDrKEc0ipkKIw35ixE62aN0aJxQ8N6SuvNmzVhmS9YbK3upOkudf+rQgrSf1PoXbJwmAhYqMHsee/j3XdnYsGCD1RMNk9tKEmThaVbWLQJEA+8/BJ8umY9zhQGmXGDqlfWuAB3F4+LY7HZsnrj4zGoazuczi/ER79ugSeO/45VwZnx3vKfUC49DVde2NbKjuQGtmWbVfOkmyVbKM+NfaVCPYq7t4NnxS4zOC3Z3ApuuYbz+dyFGJVdh82Cbb9G27Jm9eoYe/9Y3HP33cZY7Yw/Kt2qbfxK3+aJrS0q3Bulzp3J8UKjps1M3BWtRgHZplxtG5ZKOV5K/LmHmZ676zgJOGkVLDpeHVRHS+Ola6/tlm1lzba9Apcn2LBubfS8pAtefXu2MYi5q/nNbd+u+Qlbd+wypQl9RFK/soYnis0m1upKlSu5AGk76I6Uyj4eiyVbkaLowFa6iNncwi1XcSeQ5m6SvJ/KfWTMlUV0oh3DDXSL73ULS2lu5HqDXb70U3y2+IOY2tOuHdvx7TdfY8jtw2Jsgeb71SdQTTFlWAPkPrVq1cJ0ikO5/XZGPIT/IT5b9QVyHbW5G1pLMyyiqCiI3bv3ILsR5R4lQczM8ac6tw1UuwkKtevVwwVdu2HBzLeEAMq/P33iGLNmq2vUr1cst6z/CUf27lQt3QShZuorBUYlGJaWZxfG8Gjs4CR4EhjW2cANMK6Rl+nHNkCxbvH2eHAq5wjGTn4FlavVsMCyjUzNHVxHA+DW+meffoJHH3kEb894E927XWISljlIzEzQrdiQBbj++PMvMX/xRzbwre2jAe9tO3biq9VrMOqm610mXBvoVu7iGsgWSgA9to/CMibN/giP3HiVJdy5CQ2ihXkr1PzXfaHHxRehSdNmqFCunBWTbVQeny1dxeU6uWFVqVIJbTtdiIQ4Hy69oi96XzsQHbtcwrTHMl6brNmSIM16x0CtuvVx/sXdsPDdtzQBwfQ0soNtOe798P132Lp1G49ZFS7lVWvUwvCRd+GDDz/CQ48+jo2bNrOctffcdz8OHMkRKbkk6OZLA1hrlQRICbBJsHxm0nP49rvvMWv2HCSlpJpjvn3ucJ1z/heQbWZ6cP3+fwHZUhkQRdD5ZulnbF7QFYh23CV/s337NqxYvhzDRoxg29u374CfflnnBNi2z+bd2W+mlJvTb1zKjxmV/nVfiA/4LKBmIz3TQbb+nFQb1fZzDRuT4Q+S2CwcxumzZ7F04VzUbdoGzTp0xj9bNykCNIrT5rHYWhW/rVq/Meq3aIufVnyBN595BHt2bnfEaUu5QGFBcV2JSUmMeFOf68x3oMl9NnAtP6q9xK7Mgh6tEWqdIlof2BMpRE1PgvMnpb0v277mqbjsFgcfAh4vTkVCTsHd1valolzvB7VSkrDndK7a6cvN/+DD37cqV3g2lgvw1bl5A6YclWBs647d+OrbHzHq5oEaqZZwTxaW1C5dOuOH775zAuzS+nMUZYRbjQ/8exmJxm/ZnhMSEvD2zPew5scf8cEHC23x2ZZFW3cf98cnsJCHYc/PRJDGKALLBJzjCGiLGm9WAt7Ztauhe5tGeO2rH0VsNwfZJ/KL8ei7H2P9jj14bEhfQYpmguxvf/0LW//Z7wKQo6AvbTDjhGQmuHaAY7vS3FHlnF+6+7geh20dX1eg2wC3eOmuYBtgTPYtW7bAa9Onm1G1OJfqbHQezX5vL199/ik+XrRA9bvS2uVOiReGDos6N7orwEyQbfRXbXTQzx+tpCWcu2Hu3C3a9KiILCdKfLYTZFuWPdahbK/EPdNf9DLqtpvwx8ZNLKe2UVSjkU/LOu7e/QcwYcpUDL/nAbe7cXF94lT1z0yciDFjxhgCm3xJBgGV2O4krIkOsvXYK2k9lgBYn9xUrJQLCZokP9PZMHUAHnKzaBtxijrbqB2sa9elxziFnWBbWeTFfb7+4mTMenM68vPlxBK98c5++w2UK18BV/S99pzagfXetUUULbfe4erUrYtXXnmFuW/u3befvWsvDej/snjiEmyKI02BpCuWAKxctQrdunVzPgeb8FBaJ9fH9gG3DsO2v//En+t+Ut+npmfiljGPmtcoBj+a9E4eOYhP35qK2U8/KMC0E4zq8c3KrduwXHuFhboUgC2+5yCbrzOwJMiu1Hfye1tMtnQpV9ehLM8e7Nq0Ae9MfgKJiYm2NF96Gi8TWEtQLfM5O0A29ddQEOOeeALfffstPpg/lxGSWROjFoetQK+wUrtYsCXh2YSp0/HSjFnIyz1rgnSH5TuE6bMWoGK5TPTvfQlQEmSxybwGgZD4HOKfZUoYliqHqrS0a5MwbZsy92MMuuwCZKQkumjSbcKCLw7ezMr/ui9UTImzAWsLTHPCMw/ifaIydnGLAM1eqY2wKhnIdcAtQLdqi16P1hd+1tq7SzfT3G/379uLqZMn4oG7R2og3BxPiQuBCNOWfPIJhtx8C26//XYs/pC8SOxkPgJUS/ZcjU2XLoTG07vuuQeZmZl46eVpLHbRqXG3E0yeG6R2FXrsIcpKr/3fWX5jLW9OnYzZb9G8kFeqMETl7TffQIUKFdDvmuvYtn7XXINF9Nx1C7YdzKk5XKwbaEOzvjisVkIE1B8SpXs7xzR3ekkI+B1WbBNU22O0dc8y4dGmK9M1bzVFZiZIznZu24oJo25GxRq1kZSRiV433oE9WzZi028/C9Iz2i+iqs44LuWADj37Yu3yz/HSw3c55ABTwa6nggTiExJQQBk9HIpm65FTesLcgkLj2ZNrL1UJcGTcf7nEeOQUFtkI66QIaf0umpDP0mxF+c4sTvht388wlhADvicRu0ryzdhwuxDv4j5O6xnxcThdVKzC+l767ne8+cMG5BUFTe1DJILGNatg295DinNj+txFfF64orsG7DjAkkBq4ID+mD9/ntbc3bgHrDtXyxiGGDoUjb3/izVc5xggy/GUF15k/Avrf/uNe4vKmG1R+QQuvYQC6NCqGQZd3hU3TXwT+aEIC29iNS4BnvgEvlQ1EZ74RLY+8qpu2LBrP77dtBvfbfoHD7y9BHdMnYVu7Vpi+pjb4KWQBsYrZbWUvYdzMP6t+Rg2/iWlAbPSZNrnTi1e2+Bc4bHYpqJcxm6L+G0Vx+1WbWC7VMBtt6prbcOVhVyAdBvIltqvUaNGYc2aNdi+fbtt/tCI9sqwartEkBhFH36nPT8J77w+nSvtbDhBzdnin8QLvfteY8NjuteQu6I3mheMHXg7lG1aJZkxOe7c8cK/U1NRnLbMp+3qD+AkKHG61MboR6AKv/1uXTohu35dTH1zJi7scJ55TnpaZitglZgasxvUR7PGjWxHNK/RirEFvvjyS8YyXrVadUGe4UZUpbt6WS+8LJAtG4+urdYBuPyd8zs9zYZLjkxb3MHxo4exe9smNO/QGYvffAn5uWdY3HbHS3tjz7ZNqN+sFeLi4oXlkoUsshhslspIAkWpjaFzyDA4FnrijNmW+Thvv+t+FObnMVIuvdPYX/fJE8exZMF83Dp8JEsVElMLEE2OL+UHPY+2yz7qC/7s6tWvj+mvv87cyN9++23Ub9AA/7Z4GSGadEPXQbZt2vZ48MHCRZjw9NPqXuwWa76dr5kdXNcmWKsUs1qrXgMseOc1PN2uI9vuDwTw4czXMWTMY+K8DO2zd0qPIrNCJVStUx/V6mXz9y6ii2RuXaYXUzlURXg2rYtQI+s6RZ5da3zWb1U8AhHrzbqXFGatAVu3misrswLXMgZXJzcjk0cI86ZNxsMvvMFciE2AL37jas0uHWSfOnUSw4cNQ7++V+GG/teb7KAOFzF9m649tu2HCB4eeRvy8guQLF3PDXcu8SYjYRw/fgqzlnyBe26+ngFNBqpFn3aYR+S6ZgWRAFp3Gd+wbRc27d6Ph2643HITV8exNSh6T+Wrc/e5f1lI05sU4NYL2fQU3hFtQW+/lmusRyny5LgoFZj2UUM/lt6Wzu/SFbXrN8C8GdNZ7nn79KJPomHWFzwoX6kK6jZoiEaNmzIlJ89/qgYO7Zd8vVmLFgzsPTd5Ej799FOMGzcO9erWEUKD+zOl3xYFg7hz5Eh07XoJBt7ASc8UAHNo3M8VXlvPRemX1W2ordZ+Ikjv/z3MBm67awwKC/LZvGA+Y10J4sHxk8ewgOIFR45GID6ezXGNGjfGtu3bESopQcCQJSihrRaT7Rqzrc0Vks9FjEnWIxJkFWKDJ73Cv+LtkIW8NJzzvylH6Pwq+j76PO9GgqpbnLdu3ID4lHSMnPgKUjLLM/DcsP2FqFy7HpbNm4Fazduq3+uFj3/cekzfpJavhDYXd0d6RiYjREpPS+WKf68YTryc78CyxvNlgwYNsX3HTrRskq3ZskyZr0JWOnJOneXfM6Bs5jBmVXTYBplpWHAwBx4Km1aHkL+Tr1wAc5u6hWplTxz+Duch25tszWO23qwagGtxa5e8Vvck4OfwKbRFmpLPZEih3aJgDdP8fSd4vSgIkus432vUhS1RBA8LozEGAXDXeQoBo/Ga4rJnffQl7rllALcqR7Gs1qxRg723kydPIj0z07xv0cat+F45soprL2PAoXCf0rIPlFXi/NQX9LOSsdqP6a+/gSE3DsK7776LKuQ1KmKzlUWbLM1hmdYrgKsuuRApifG4YcJruOua7rigST3Ex1GecTOm+Wx+IXYeOoJNew/hz1372Nx7y/PvYvQ1PXBT74vQokEdvqNU+hi4BKhaPguNatdAswa12fxKcwWNCzS3sqsnoYHeAXucUoLiDzpiYBEeg87uXB+T5EvR5FK3ws6ry5NseJKCrJv3iNl2OeeGuCY1tpljGp8OxG/FT73wYtKkSczIuHDRIjFnWHMKcZ/oqbqjXD3n6dAehyz2WWnkPfcjPz+fhXeaSiCzZ508cYLhhVuGj2S4RbYpdcdCwWp/pNKbRsdG2knMfW1Le0lN8P+rvvCvgDYbJFMygbxTYoPLiW1A24ihEt9ZTOMxFuFWNHbk7Rh678P4/c+NaN28qTif+qNdA18QI+H0Kc9YgEhdi/t4S2ynr01/DR8sWuQQhHhEhJlrWgdEsYBs06JtLu1WYjWgu5LkOAH4P1v/ZkyWRw7uw/pvVzBgnd2mI7r1H4Ki/Dz2/AqLivHXurX4+L030Oem4cwFjNhK0zIyVN9nE4h43tSxqIMrMKaESgtss33EQNOjT1/FN2QAXWMciGDG9Gls7aahw2NvA9Gahm0ZrXikZbtOHcyZO5dp7f4XoM0swoF4hEPFDpCt53o9dPgwQiUhVK9eLeo1qnuwq9F0JK4pfbxeL24acTcm3D8K2zZuQL0mLdj3e7ZvEXmFZWouPjAyzXQggFseeVZ5KlhHtL0gPj9woVy6uNsunLcRMYHqA6kUjiQo0sGWy7odaOvu6nr+bAK+R/b9gydfn4WkhET+vZ7GS4vbNWOvSwHZHmD7li2477778MzT49GmVUsNEIuc1aXGZVkuXDoIlxrj63t34w+SpfFyAczsuwief3sO2zZq4NXcUm3fVyFFjYBFgG2d+EyePzc/Hw+9Ng+zHhnuuC7expyt0Fvx37mNq997PMhKikNuEVcSqPYg/jiBtkcb77jCziJbEm3SBjztllmVpdPnwy133otx992JLRs3oEnzlta55LNjnkqqdzICnCefe4krm9iFkDBfOtj2x8XhscfHYfu2rXjqqadQrXp1PD1hgsbIaz7XX35djyeeeByjR9+Fnr30nJ82gKXfqCmzW8/Q9vzMJ6xEvLLL/09guzubF/hZzaHNmjuovj7tZbbP0GHCPVDIlV27dsWqb79F964XWyBbhxQG2NZkEC6hWveuf5YAm12UJAvywJv+79zGZaHxjazaFJfrUIQbLOMmCNdDx7isYLGLS6BNFmjKlT3zhacZYdR1ox5Ulm7pkXHZjcMx5+mx2LXpL1Rr2FQpv2RhIFsoL+krn8eHwQ89i51//IzZU5/GnU9MtuWL5vIAPRtdrmmY3QibN29Gy6aNlLHCYKT3eJCZmsJyaUvliGGZVqCbr9dIS8bevHzD6m1UdnxS6GtziFYreuOwMnRSzTGclo4L/fIZWGJ36b1K30r3nub14ww013H1Tq35UY01iigLKkY7P0SR8fy0fZrUgz+J0oOalyFtRalJiTiTm4cX5vHUXSMH9TPmDUb+quYjfq7+/ftj0cIFGDpshHub1LEFe+9usMRZ/q3buDovzdF+H8u2IOE+XUB6ZhamvDAVw4YPZ7nAE+O4dVm5kTP3cR6nHSEenXAJLu3YFjUrV8Anq9bitY9XsHthRiKN04Bl16heGU3r1MAtV3ZDk3q1MPy5GejWoTVaZtd1al309kpjvN+H6Q+P4NdCymv9KUmwLMGArsmAV5C0CQu9HXCLMYkDW+1YUR+c+KOBc4+2rkZwHXSrY1rtWwFuKfyqY8vfarOMkNlr16qJTp06YdHChaxd6VOiNlxq461ouNr0KTdHBfaiXH51P8d+0ojDVsXy7el8XrjxtmFGT1VXH0VrpIvPqksafdhc8v3cx4LUfxGfTeVf9yBPctb/R953gElNfW+/02e2F7aw9N6lVwFBQLDRQTqIdARUQEVAEGmKBbAgIiBNRYqKoAgWsCId6dI77ALb67TvuS25yWQWVCy//3d5QjKZzEw2ubn3vOe85z3w56TzF0adRedrvCWg1g98MrLQ/tG9Oj2El95YiBdefROfvr8gKMAOcubS++q5yTS/t95+B3379UNoaKiq9ikbSMqgqgJrIyq5HmQbifMEW2tAtCZ/W/vd5P2M1JsIjYjCy08OQlxScbTs2AP1770fde+9X+kwYTYHwqJjlT+9w2OjlVt34OdtWPvuPMQlFcPAp19gDjsR4ZYxl2zOCYuVR7bFgEHNJe4lL6zdTE7BisULMWDICMQW+WPlhOifZADkmeItH9h0x6iDmwq2ye8WK1YMf7URUQ5CO1YRha5cncmEDz78CH379A2YlPU4OsjzrWkyeG7XsRvef+t1LJ33MqYvXEl/sv49rZF8+SLiixHgxPsrrxNNrg9jKwh3CptE6JzBr6FYmNosN7A4MNLeB2GyaPczI0ecZxCQrQPkAvyqQFuigxMDy+fFW1PGouE9rVChUhVtfrdcMoyrkhtGtDVr1lc/WLkSn37yKRYvegfFEhNYJFkPqDmYNQbcRhFtcXO1JbYCxEn4DU++fgNvrVqP0b07oUhEKKOJ8/e0JdiUQUjzvSyqzb/f50N+QQEeffFNPNe3A+KiwjRUcY3iuHIjqfcUlj8phKaPajODKnBEDwTaYlxjAFgFGer74lij76CvpR0Pde6GJW++hndenYX577OcL/0fKsC7GMLMOkVsNqyx44SJxWwq9iH6DJn8qFCpElX6JQYiMUSmTZuGqlWraAyn7777DvPfeAMffrgaEVGROkM88G8L1rQGi3hudX+ZPkxwm40+fVwq/E98/I636ykpWLJoIYYMJ/NCHN0n5pwuXbpi9qyZaHPvvTCZfIWoj0tgm3+WNf1faDJ+n4w3key3/0pz2a3IzPcYlvdSQLYedBuw2YQ2i4hiF3g8OHvqJGUl3f1gF4UCLtPLa7Vqj83L3sYXi+diwExZu4D/iWScpb4lNjf66aRgRvnaDfH9ho9xPfkaEhMT6fdZzZxCTiKt0jNKlrtq1cJHK5ejR1derlLDNmALSZOgY4IAUTz/ljgJTEQ4zmKmTi+yttutVIch2++lGg9mK3tfXfwwE8E0Oo6TNTQLiRzHmq04589FSROp3c2eZjYHys6r4M40YxAueoqwcwyOUKZ8qQwevyaZHjdKExV7xbnA36drleUpxrPwECfOXUnB26s/x+g+nREXTeq5C5DNmUzyvAMfHmjXFr369sPgYcM16uO382wX9j7RG/irjUTF80hEX7mCJPnGhIqVK6N9h440ctq3dy96LcwUZDMdDJOFpEURkO2DycbYKxXKlsHYksUxlqQ/uAvo9xDR1cAbwVrF0qXw6kebMG3pWnwyZwL/gwUwlOZVxRBi4nTU6cqDc7I5yRzrJPJOJhByTuL+cXSpAdxiXOKoXGF2BcNEqp3K7C1hsAZGwhnoNgUB3frrIexkeVJlr5UZRVwD/j0jR45A585d0K1bNx3TzXgOMvpbZDUF05+bomi7kZKClYvfRf8hwxETW6RQO1ky9Q0BtngdOC4XXrrY9Cfzs/8i0I6C/7rhcKOeFn/bWFXcaEzT/5ViSNT+yVarFZOeHIn+o8Zj594DaFCnljzKBTknbcczFLAidXmTU7Bt+3asX/+J4glVJxZtRFmrEKrzkBhEsgsD2ULd0yiKHYwinnzlMgXI6Tdv4PEZ8/HUa4vY3+ZnirrqeXDSjnQZBSAm+2o0vgc1m7SAuyAPp48dxscLXkWHAcNQrU4DhS7OFv6gmqVuLGjk/IoKGjIzggLBsLjfC9+cC4vFioHDR6rndusnt9Cm/Hm81Je2j/EfEF45Ov+ZaVT4rzZGH+eiMPqa8LzEDanhPWbME4FPr2R93R7IVtfkJ6w2Kx4b8zSmPjEURw/sRaW76qBDn4E4efQwc5iQ+8G91+zSGPDraT9QSyEJ8E1ekrmGGmK6QUichdEpq0BbogwHAG/1taCWs1xqY6C9e/s3FGS3eqgzBdU2naiaPo9bRMTltRwpJ1HjqS9MpRP4mg9XMqVbSelTW8aL5U0ZR7WNItrGa42AowSUX160ikZEn+jdCX6Sgy2Dc33HkCPSmu9n2xeupmD0a0vw2IMt0LRGRV2Nbb2PWH1pjkn8U2W99C3EbqU51cH6sgCNWmehdpHH0j9iJNptNgx76hlMeHwwDu7bgxq16+rGBT71S1Q4rVebA2xpqBKkRLN8vuK1Cej+yCNo1KgRps+YTn//4YcfpkrMhw4dQm5uLlZ98AGcTlfg/CA71f6A9aGOqVqHI39ib/urZELX7Yw7/1RbMP81WC1WDB3JHMHyJSLlpMj8nJefT0GsFtQxI5yMVaopr24HUMfpPslTI10EU2gsqyjxF1uIndHH9fdcE7kOMtdrKeNQVMCvXrmM+c+PxxNz3kGTEmVpzrWssaJorZjMuLff41g9YyzOHNqHYlVUhgeFAn41qq263ny0jOrAyXPgy89hIFsoj1PquN6eAcpVqEgp/WLOY64ofl+Eho/Zgsqli+H4pWuoFB9FxQFZiSUCsM3qttVCl9aliuK7qyl4KDEBZqtJXSxssXgDq0XISxtrLFYWXEGS1cmO4Y5m6rQwuE+sZ9y+8aGxJJVIosBB3O5RFvb6ak4+Gpd0qYBaiuYr+eqKA5xd53fWfwWrxYIn+3XROWyleUkC3U6ng5YmTLmWjCLxXDHff7sgxx+U9v1nynoZRcV9tISbHB9mV75Tl64YPHAArcZCQDOlkPNoNswelqdNnQmiDinrM2ROIxRig3CoZtAnadiTBj2C/s+/jp1HTqFB9Yoadpe6FiW42H1jQRttcoAYWRgQJ1FqnmsnAk50LJIBtwqUNQzeYNFsiRpu0gHrQOCtOhdV1QLBTpRwDaW385Jv/LtVG1Dy0iq/x8ZLh91BWUSbN2/G/Q88oDtPnfehkKg25PnqT7ZFBC9YrRgwjFSAUnuP7q6zU9OBahgC7kCQrWf96Fuow2pYEeF22p9GGXQicoRpeTv6RbnZ9BPyp6Vt/QAi0WM4RUa1UNRPdW9/P6pVqoDx017SmhfKVwcD2wbnKJ3rizNmYNKkSQpA0v+8Hlzry17IIie3SxcX4ieK8BgVP1OFeTRCPT4/Lp0/h6/WroLH40Gb7n3x5Kvvwup0BuRyaYTN9GVB9AJpxEtsc6B4hSp4bOJM/LL1C6SnpSI9LU1XMkwtAyb/TWokSi3PIl83eTl75hRWLnkXA4c/jqgoY8GZ27FBAw0YnecqwLjVnpOF5ADdgUYnS2qYSShS6ld79u2lZWrE7wW7Lrf3Y3IkmP1r/XAnlK1YBQtmTqbfRB7qtYvfosqzWkVtqX61TqFbs+jLdFm0AmjyYgu6MPEqRQjNLClH89dsP/tuWVFaHEP2F+RkYemcqWjc8j4Kstlx4ju1UW1GHQ9SH1uKZOfn5tB87NIlS2DGC8/DSh3OTHiMiZgJVXD5tcfwNf2MLFoWZO33CEEzt0bc7OSZ83j7o88oyI4Jc/L32PdRwTOPtJa2VaE0JriSn5+P9z7bimEvvYvZQ3vggUY1JUXTYEIu6mJJKHVHngVyL0JsFknETLvQ+6v0A0j9DAH3Vukr8qJzrmgYCibggQ6dUb5yVbz6glYQUAPe9ft1Y7w8vstOMDoZK8epEzUBgIsWLcLgIUNw9uxZqu1BctxWrVpFBfvUH1P+C/ps69fGs6Y2qvbnzWDxPX/dkJbPR3/et9vOnj6FZe+9iyEjRyE6OsaA0WDCfffdhy1bv+XlEmW18SDzupJroI/wsGNkoCSOMUf99Wg2aUTc0W4jQlB60TMDATSd6Jk8RwsgnZmZjdcmjEH/8VNhtjupEBoVRuMCZ0zojAmkkXWVZu0QX7oCNi2YBbfHC4/XRxe35nNin6pi7jOZsXT2ZFw+f1ayI2SbRV2Io5o8KyR3PgBgi22zBc3r1sD2A7/zkk0CaAuArYJsst26bHFsvXQNJh7Rpos4ToBtWuYPhkuIxYJ7bTH42nudMfJ0c4HRc6RtJuN+zUXgGITiGiPK+1JEWkSzJcr71dw8FA0P4bYCB9gWiTpPBbnUyPaNjCws3/QdnujdETGREfxMtGM2s41lZ68fDz30EDZt/DxwbCjkgZRBiH4hkeg70ZhAqlnD1hD9PiQ0DLGxRXD69BlJFE2UROTlEgl13GanJetMNicrMSwLnwUIopHjSBkvO+1z3du2QLVypfD0/KX8euhGTp0Dg87/fG4lYqNs26Nui/nZK+wA9Xhlkd+TqpKo1UnkCiW6RRFBU7epeJoQUJOrkEgq9EoQQO+sh9RnpNdiTmLCaMKAVvHXoEGP0Rx6o+fh9uafvz63nON44dFhjyOKzAtB+qpYfIXN6eKfAW641RJB9BT+ZPtL4TyqPs62tIs04an1hXWd+xbX/1bkYwJaXn9xIn7ZvQ+r1m1Q35A7kvYLA0cecY58m+Tr5mTnoG7dekENLwVMywaXRB/Xg2yth9oYZAeU1ZJANQO1qur3F6uX0RyqCjXrIaZocRQvX1UCzKzOpgye9TWxZaXzgNrb/DPhMXHoM/Z5Sol+9ekR+OKjZZq6mkLdXK3trVVc16j/ySCXv54xaQLi4hLw2PBRAaCc3kLlv9ttWovMUMZf+mJxbsRbfKeahQzqMntD6vfr1n1C6TfaXnlnwkg0qm2x4ImpM3Fo7y588xkTrxjx3Iv44K1X4HW7dTnLHEjrQLWmHJfRIsBxkPcpkBaLpCQuALP2eBlQCwDOwLZSzokYJ2dPYPYTj+Getg/D6bApwI0Bf+mcRfRbdhoo0XA18kEiOKk3UtCjxyPo0a0rBg3od2tAzQGt/rUA2Axkq+DZ7ymQFv7aXQAor90SYHZj7Jy3kRgbjad6tWfq4XQRiuL6xQ1vQQHOXb6CH/cdwgebt2HigpXoOH42ek5+jU6in8wYgwrF4iVDQSuQZriQ/lu0HO5UI1FtGwfOdoPFFmRRQTgD4Mo+aVsB2VIEixrQnB1B5oUJL87G/t2/YuO61QYMC93zE2QqkseigHFJ2Cm6OaJmrVoYNnw4mt9zD01LkR1/ml/UAWo519yI8SGft+Hfoqxvb25V/kaFJXVnxiLN1C5j3ttsL058FnHxCRj2+Gj5JDXXuk2b+/Dd9m1a+4LW4xVJTnKUW5bLks5R72DXBAjMMEX9eeV9fQt32Aqti62fq7VlOHllEK8fB3buwLWrl/HMG8sQW7y0ojyulPDy+OD2kDUDzOQzPpjRdthzuHBkH/Zv3aAAa3qc9Dm6SACczPX39R6MT5cu4LXmtecmp8lR+njNWti1m6hHM/V9VqJJyrO1WNCmUR188esBmEgpTVJqyWqF2cYX3XZEiAN3xUXjp5QbMNsssNgsMNvMdCHbFquF5tFaafUK4aSVFhNQ3hqC0mYXNntTKLimWh6atdJbAhbRk/SO2vPIR3GzU3VaK8dwn4JwgMs55YTdYzYhw+2mfxdzFlhgIgJjdC0o8VJJQJjx42/HkRAbhaf6dVZLp6kPRYCLngEooHWrVti27TujYUZ9JYW3lbBIkCGAMkfuUHPZrNwWDQTbfQcMxJIlSyQFcjVHm5RQhNkGPwlmWOzwE/BM2FcEcJOIttima1Yjmy3cqWMmfciG18cPxS+/HcOqL7epoJqXyKSLMv+yKh60TCafe1UHN5/D9a/pPu5A1zjVpflbAd1sTe0Hn1uxLRiIFkBcXyrUCHhzpp0MzGXGHYxT1hT2ndyXNJObuoqKiqJCxRkZGbq7eWecs7fTZnK8MJDjBeV0JfSg/ycqJCiLJv1XF5QLwHPS90iYKSrkzwPtv/QUmcJi4b952RA0KOU1NBFjA0+S+C79d9zG3N/i7kbo+vD9eG7GK2jftjUiIsIk6oP22+Ul4Ny4NTBz9kt4dsIEnQdEP6wF5mUHA9m3Sxc3ztPWUsZ/+eZLZGWko9mDXdCqa1+6j35eYzDJv60T/9BfT56bQTstYc0qdDI1P9tid+LpN5Zh86r3cOXiBcQXLQY7EcZg8uTKd9JcL3prVZEdqs8YQBn3Y/vWLdj+9VeY995yOF0h6gnyY+TDxZ27VWMUSumm801K7+HMBOWL+LEEnJKo7p1qRBDNn58X4Ewiv/3bb79hxswZmvMNFmG73aYY3JytU69xM9z7YAcsfHkamrS6H1GxsZjy5lIc3PMrbA4nE0rjudeizyp52Py7zAHOES1lXOwr7HzEtrJfQx03oIvzY+So88lD+7F903oMeXoqZi36kFLiBJhXHQNS7Ww5Yi1RyEmUVKaLX754EUOGDMGcWTNQo1oVpbSWSS69UUhetiKSJtPIZTEyiXouJjZWt1oAWulu+/3Y9OMufPHjbnw0cxxcJLyrE0HLzs3DnmOnsOPQ7zhw4iyyc/NplCypSDRKJhZBibhYdG/ZENUGdGZ9WTEe2HkqJUmUcwrSdxNLweQkY+edaWSMIPW7g4VTVKoWezZVsSVRQojTWXURTcWBxqmg9NLSHFPehzkFruHdzakg49wZU9Cy7QMIDQuX+qcW0N7OACOeUzacqcJdLArAaX26IUj/eeMrob7PKHZ85FPGS76P51mK8eR28uRuNa5oDOs7hLPpWSlRPv268Pbdls34dutXeGfpSirOKZ+aMn+ZgLJly+LU6dPixySqpqCPkwirT5uzLW4Q+xC/xirIpnn4/DqbIuNZxOwONZLTdzUzlz2Cmr6vdarrne6ifCdZ/7BlE3Wgjpw+j4INpbyXFJXWONaVklx+FK/RAJWbtcM3S15BmQYtYHeF0fMgec5sHDbR3Gsr2UmixTz3mdTXvqdTT60jgDvlyfjL7Az2DLZqTVgGX6FRvdpKiSa5ljwRswoJC0PlMiWw7/Ql1CoRD5PVzcA2BdkemD0WmN0EUFvo9qBaFTHiq1/QsFEMA9geC3weP8w2RmcnP8zsM3JhOftQpLgxdUM0tEXA4THjc28yHrTEU5At9EeYbRRIF5XnMAVMc0C935uBh2xFNABbfl8DsmnknUXij2RkokZctBS1lxYpss+ulxnz1m/BjfRMvPXMcISQZ0HDEJWa7OXj70ZGRCA/Lw/uAjcFlyYDlWh5PJPHFL+Bcj6Zb+5UC3PYkJqTr2h0y4Z6nXr18NLM6cjJzUMYFYljEW3af/xWaTgkdG2hNC5FbI0ESQlYNhGmBQGtQIv6NdG1dVM89+ZyPNy0LiJcRLlazI/8c2pPkBx5wg4ww09k+AkLgayFg48K/BHhNOJU4WwOCVtQpgK1NYN4HzWOP/HbbC2PY6pyOXS0cXJN5KpJqhI6u15QE54U41q2PoPnapP+Q0TRfvn5Z7Rt2045PHA++nvad1u/wravv8L895bTeUENnEliaUHOwWi3/jPa14EOJ/F4RbtIoMf8LwFt8hCExcCfdUM6MZ0FE0DPNvgejUdF+uxttJcmP4Ma99yPKS/PxesvEsq39n1Nrq7yg+o5CY/3ocNH4ApxUQVqfaTCqA6moSiaDHQluphR/nVhIFspdcPXq+bPhtfnQ9ehT1J6N3lfRNb1quNqTrkEkIwuHN9JQbGoWGAAuMmDTupyFuTl4MURfTBs0mwUK1Wa5ZBwHQimXs2VrUUdSxObiFX1cSAnKwszJz2NRs3uQZsH2+vOix1kWKaL/21SauWtG/8exaYSr/l71GFwBxu5TvTeEPVxKRXhwIEDqEmUrKkBqLsXhd0fzZdrPyPb4SqNHHj8uWno1boxls6dhZGTZ9JxlVDK5zwzCjXqN0HH/kM1oFqh/wkWAs8Dkr1/9OnUlY0z/vvFY68lomoAuES105f2IuXgcjLTcWT3DqqU23PIKIQ47Ur9bk0+dkCkWqsqLr8vDKJjRw5j3NixeGve6yhftpRSE1uue2lczksoj8seZR3AFp8VXnAdPVs5RmpZ2Tl46tX30LJudXRsWg/p6Rn4/fxlHD59noLqU5euwWm3oW6lMmhcrQKGt7+XlinRgnX+H/lu+hAKLwnPB5ccAkyF3rhZSzO1+jvVyH3+YMVyHD5yGEWLFkVkVBRCQ0LoRFmnTh0kFU1i/U6MN1yYjDkIOYAWf6LyjGgBtk9y6KnebTWnetzzL6J98wZ46+XpePbFlzXjhpyfrHUCaRfFIJUu963GnkIND8XIUcGzMj3JwFp+yMUHJbCtXyuORHmt+b1CzlfHJvorTfarGE67QT6XnZWNaROfxt3NW+D+h9sHP1d6vUyIjIhEBilBFUbKhLE5nCqDUPotn5TExZXVxcV11Hh1teXATLF/XRBQbmTcinTacTO7QFPOK4C5FpCWxSLeJB89Ly8PY15aQCN7RiCbrIl9IACxmo7GfqNZ/7FYOrI9ti+fjxaDntXMHRRoW8Qzx64fY3ybEBZTBB8vnIdew59QqOxCGM1LhdHY99eqWxcvz5rOo5H6Ek2sDrLJ6sGgzvfj1WVr8M7oPrRck9nqJkWWYfZYYXZ7YbZ5YfawhYCtThVL4oMz59GvdCn4vT74vAToWNRxVSM6y+QKBaYQBWZq2cLhgBmfeq/hfksRhJgslP3i5b2GrPWOMFWgk0EWMo/chBtWopRttqoAW0nHkipecGo7o7qT3HIzvruSjPsrlFDAtUlaE2cDXTilPrvAjZkrNqBB1Qro1KoJs7E5AGfAT5xlwNOh/AENGzbE7p070ejuuzVDh348kOdzo+eflh67g41cH/KdWXlE7FM78JHr2LlrN6xe8zEG9u9PSy2aSGkvM5ehFLa6nwBvP2CR5lgBuDXVQoj4HpOyZDns7PdeGjMANbqNxJSFH+C10f01NarpcZqmKugLgE2/kziThLCfj1H+qZgg36fU5JbZNrwkXSCo1mEk5f7q8rlFrW896FaAMeV0CTSlSBhTSU8DsK1aeabgudr8/jS9+26sWbsWbdu1u6NO2Vu17OwsTJ/4NBpLeEF2utP17drQ/CDt5w20teTDJdsjPvyv6df8ZbRhiigCX9ZNg/DArUMGShQ7wIK/bTiFEsUS8eKzT2LslJno0K41WjRt/Af/ANZhFy9dimHDWFkEDYhWwLZBjpIA15pjJBo18aUZAmqdJ1tDu1aB8qmjB3H53Bl0HDwaNjvJwWaTsHKsDlQrOdLStty5gjWNyrhUvYAKafFP250hGPL8HCx4YRwmvb0cLrsDXhFMEAqXXGyIGsBUlIadIwVVfuC16VNxPTkZ7364Xs0L1BuN3NOq1Yng6r+SYSpva44M6Dr6qDqPdt5B2rhMH/cKxWjeNm7ahAe4kIT8kN/WwCAAAL2WqtdaODTZmMjrngMoWqw4ho6fiHnTJqJZmwdRs9HdiIyMwrQFy3D+1AlcOHUMmz5ajlYduqNstbtY6TapL6v9nQuBKIOQKLMU/Kxlmqvm3PmG4hQQdTRNRHn+KmLjEzBn3HD4vF607zMQ7Tp1h6Vzd8V40Qqa6UTPaI4uCgXbpP+uX7cOH6xahWVLFiGhSCyjbdFyW2rulBLZlihlIsdZ0LMoiJaBtgK2BQgXQFuia/Ftr9eLi8k3cO5qCs5eScE7n2zB+WspKBEfg05Pz6YlSSoWT0SVUkkY2bEVyhSNV+6xYkjQ2to6p6S0LZeT0YiwFRLRJo5SS9ydBRekPTrwUVrj9/KVq0jPyERObi4Vb5w8cR3S0tLR5r426NK5C2KLxCrq0UK8T3XyiP7IywopznY2HlATjCons34lyg+SY0jZrTETJmP28xPQ6v6H0ODu5lJfDXRSiW25A+tdw6L//tGmwcAC62ksYN1BUqigcDVxJQahtECMrfudO9xk54X8Wn+MhvquW+a8+DxSkpOx/ONPAuqtG7WkpKJITr6OyHBZI0ady4UhKsYeuq3YjTLw1l0URwjMYcaaIX+lRYfYcT07X6JbG4BsOUWMg+1Pli2iJSEf6DNEBdd8HUxnRU03Y9vk91wx8WjcaxR+WPoyStVviWLV6iv9naTT0Mg0scW580oA8JDoOPz+2x7cvHkT8UVi4fGa4DH76WKTItpkLi1XvgJ+O3wEtatXYXm1BDj6VKANqxeVy5Wh537sUgoqJUTBRCKuXhLN9sJs98FCabs+tvh86FC5DMZ9/Sv2pqehdgRT7ad3TjIdxAuGOfwweYmgGyc3cFuimi0UEWYLNrlTUMUcihqmcAaQuZNZGWJ1TjjhqM2FF1s919HdkcCp57p5iSw8b1zJJed55/kmP46lZeKZpCIw2xk9ntDfRTRfAG1CcyZ05+GvLkZOXj6WvvAkdUaIKLccPZVTI/S2Dhkba9epg98OHEDju+++HV9bAGghjTi0SXm6O93CnTZk5rn52K2COdIXO3Xthl7dOqNfn770OtK/m7g3FCFeEknmxXX1IqRkfqbgXGcEalCUH8XjYjFtaE+Mm/c+2t9dBy1qVkZ6Zjbmr/kSh85cpKV9BROyQvFENKxaDm3qVUd4KFOMp/fBZAC6TfJrbfqKiGrL5V41oFpUTVD267Z5VJ3t479DjyHBG10kXKkRJJwGQthWgG29FSqkPfnDYjD6li5dGpcvE+byP9vmvDiF4oXFq9dzR8vtN6PItHjINVdAYgJr7Q5hUwFOq/lPq42LZvIHKxj2B5rn6gkgP0cC18rX85XoOGKf/mbK0EPuNEZnLJsW7Dt9JKeoe3+cu3AZe775HBHh4eqEq6FxiAGLe1s5PaXA7UGXbt3x2YbPDcUa2KRoFH3WglxV6ISvpfxofRRapovJnxPH/PDlBkqfHTb1VYRGRmtAtf5YfXkQ0WFobVgDT42+6XORxESrRASl3FefJx8pF8/TqLbL6TQoryQDIO7xNQG//rANQ3t2wqSZr6Dno4MMFKi1hqx+P/SgTXpf6WKScWz0WbEd4rDRaOHf0fJzsxmwMZmQm5uHrt264/ONG7nxF4z1oM3dU6N7gf0w+H5usHl9GNmzA6X6L964HSHh4Zooyqmjh/HN5+vRrnsfHP9tH5JKlkGZqjU45VKoUmoHH76r0KZe98D7RzYIkL505iRCQkNxdN9ufLfhYyQUK4nHJ8+knmSSB6QpwaWLXBtRw9VyYNJr5TNk7vXghSnPw+P2UNEzO+GSy8DaAGwblfUS+c5+JWeKl8qS8qZkmjbZf/TMBXy35xB2HDqBrJxcei0I5bt0Yhwyc/Iwe9UGzBjcDU92a6cKMtELLdFm1J3s92QgrQfc0qEKMJdqrTKOZOBdtN3VErbydfB3NHfGdfhIHptkUJB1bl4+vtz6Ndas/5QqTPfq1RPNmjdnqSQ8cqH2Q60GRGCOnywupU2jIc/CgK4P4dKF81j/zU8IC2eiQhqnj8iv5H1Xybnkav2yIr4yTipgRDuu3Aogap4lmQKncSqoazHmq1534zJR7NnWfUZ2/gZ8j3AAq/OS+p3SPHIb6S3asVZ1WgihKCFYpxejEtu/fP8tHu3eCS+89CoGPDbYQMRQW5qPvJ41Yzrub9sGdWvXUvIYNc80z1lUn2nuLFNSOrSOMvrM+n0wJ5SH+Q6UuDNqJ1IykZnvVcZ+GVALrRQSwRb35JvP1uLC6RPoOmI87fMBIJurjbN8bFV1XL8o9obXi8+nDUFm8mV0fnk1nKFhSt8lmhkEJBJ9BCJ+5bCZKW2YiBqeP7gLEWGhqFarDlxWC1w2My27RVJdHFzwkFAqybyyfOl7mPfaHJg9BTB58mBy58HkyQfI2p0Pf34Ozpw+g3GvLsJHk4bS1/68XHhy8+AlS14+PLn58OYWwEO28wqQkZGDUVt+wfgalVHC7oQn3wNPHlm88JLtAi9b3D54eJ46zV3nC71m5PrRbR9+8qTjlC8Xjc1RSIJdYcSIRbYfiCv+ur8AW7038LA9DkkWh6I74RBri4ka4kT0zuq0wuaywOaywRZqgy3Ehk+uXEFEqBNdalaALdQJa4iTri0uJywkJcqlind9/dsJtH/udbw4rBeeGdSLAm1V0EvkKFsVgTCWuyytuYPj4uWrmDFzJua98SZnSch2ojqOaMYk3UMeGWJHuNP+tzwLl1KzqSYAG3eFg5zN3auWLaFzxrChQ2BW8pblZ1hljMmv2bMus9T4OED1UNxSPrUHPnc+7hs9jZZPe3fcQMxc+RnGdWuHu6uVY7W84YfX48Pvl5Px85FT2LrnMO0V7erXwAONayIhNlqli8ugOwBg6/fLIJqpzetp5lrwrX639hixX/2sCvYF80HvkJEdAtI+Ad7NRsex3yXjB6muQUqwGc8V0tyrm8P0INav64PBItM/bPuGzgtTZr+CXo8O1nyWHec3/JweSLNjAkNEAUy5Qp6NUtEhKBrh/PeBti8rFb6bF8RX6n5BC4oDot5KZEZPWbgdoK22MxcuoW7r9uj8YDu8N/elIECbeQdlsQVCddq89Wsc//13PD5qjGq8yXnYBgrgWiq4ETiXPxckqs3fVwE0mUi9OH/iOD1PYiAlla6ogCR9FFsfCZfPid1V9UFQupp8tyWDUs6TDaxprAXbB376Fnu2bcHjL8xRvLvaOsZawJ2ZloYebZujdLnyNJpN8n40hq4GlElgW/+eLnKqN3A1YNvgGPHZ6DCXFtzcwUYi2u78fPqDS99fBpvNjt59+kjOj8ABygho+432Kwa1/PlAMbqL58+id7tmaNGuPSa8PN9wYCTbR/btxs/ffgWr1YbWnXrgp61foEylqihRriIiYoooirK31UwmFOTlIu1GCorEJ+LQrl8oI4MA0Acf6YtXnh2NEuUqoE2HbihdoRJsNltAfrbc/1RqOLlPPlw4cxply5enRmGwKLZK9QPOnzuLp8ePQ7euXdCza2eVIs7BtYY2LomOMAo5n8AloM3URj0quNblZRN657Y9B7Hxp704eyUZlUsWRYtaldGkWgVEhbmUkf1mRjYajpiGisUT8PmMMQGlUwLqZqtvaEG0PKMYQCFNKTE5ui43iw2uh4bfkbJeRs2blwVv5k32gnvgNeOyyYwr15Lx0dp12LFzN/Lz8pGUlISevXrSvDDm/JEVm/naSAVZZvJIE/uFc2fR/t67cd9D7TFz7tv8zLRjiNwPBQhUgXQg6FM/YwC09b5mzT3ha4PXGgaJ/vmX9hHAdPrUSZQpV0Fx3mlZTLpUIiPwbQC0SdOOTXoPv7bJY666rbJVtLoLeicuM7Az0m6iY+tmKFuuApav+YTpZmiqJBgD7bfemI+7qldFi+bNJCNcNa5V0C1EgiTtBTmPU0oFITaFpWITSuH9O9qN7HycuZmjAl/p+isiptxRuvWTj9D0wS40CED2BwPZZM3E0qQcba8c3fZJNowf6dcu4bMJPVCqfis0GzaF13rmQNusAm0nB9ouOwPbJ3b/gJr1GiEmMpwCbAG0KcAkQJuKWAJ9unfBsiWLEU3Utd35DGx78pXFn58Lf14OXnhrKaoWT0CnRtXpa28eA9q+vDwKrhngZmDbm1eAKzczMO6bXZhapzrirTYKtL35XhTkunEuMxtFYYOXA20CuAWdXgHaFGwLhwaQ6nPjJ3c6rvjyUd4cggSTA1EmK0JIDq7JhBx4ke734JAvk1LL29ljEWO2sdQlE1RhR4sZDitb7HYzrARgu6ywhthgJ8JJLgtG/bIP77W/B6ERLthCnLCGOumaAW22mBwOpOZ5Uf3RiYiLicRvH78Fi8NFATaJ+lNhLyoGpgXUCuAWomF0v4WK4HXq3Blr1q1Xg0SKno/0bAcZl8gznBQVekc1bOSWkedGSmaeIiKnlmkjTkwfej/SFbNnv4RKFcrBzB3f7PlVRcBkJW7NPM6FS1UlcFWsTAXdbpy5eBk1+z+DojFR+PmN5xAd4uSgXXZgq0ZpRm4evtp9BF/uOoTU7Fw0qFyWls+sX6U8XC6HqhhPPsABNAPiBtFpMmdo2AnqIivPC1DMALkK0NWyeSo4Jvf597MXUbFcGZZqoJtnlSCjDmgHPYayCdTz6NK1K6WP/3GgHUThW0fbls2Z1NQbaH9vM5QpVx5LVn/CWAK3CbT1TDh1W3uccHDLn9OfK2nk0tctEUXHyL/S7sisYgqNBNIuKwq2bKfBQ0r7rvAbih2FHG/UKGVYXED1M2VKFsfcFydj0FMT0LRhPQzo1V1/lpIFxDqtUBvfuvVrWppFnJFqpOg4/JpFN3Apdm1ghFsfiZZzqMR7ZJLNzs7Gm5OfRL0W9yHtxnXs+f5rNGj1AFp16xcI1KXIqDbKrQVTaiRDS5sQV4HcD2bAkLIebMCjYiKQWSU8iVLkPTW9F8f27cSpo4dQoUp1RVyElROUhEmoQeHDxNFDkJuTjRdefZM9NIXcXiE4RE020VX497Hbp/Yf6puRD1P6htov5GPI/w5C1fqbQDZpZmqoFdDtTZu+wLLly247KiwaPV85F1sY9H5GESf3iVxFdnvUzBwhQFeiZGmMnTob08ePQu0GjfBg9968HxD6rejTJtSoUx/V69Snr3NyslC+chWcOnYY33/xCeo3b0XrFn758Up6TmOmvUpLyp0/fYKK4nUfMhovjx9Br2XLhzrTyPnW9asRXaQI+owcC5fDjpp1G6J4mbJUgfmlxR9qHCCaHG1dNFEB29zBs2zhAmzb+hXuf7gD+j82WBO9JuMfm6Cp5i28Xg/mv/kGfv75Z7w040VUKFuaTrbBo9gSyJbp4bK4mdhPgba6nzAWtuzYh/Xbf0VGVg7uqVUZYzq1QrmkeMWgp+MBEQYj98frw6OzF1Fq4Duje7Pfk8Gvsm1EQRGAyH9bx2pnEJ6zrTvQWqLy3waySTM7QuFLT1Hrk0oq0cKgSIqLwZMjhgIjh9H9Z89fxOJly/Hyyy+jZ48e6Na9G8zccFCEtbjwG02poGuWXsHgEns+xJhXsnRpTJ7xMiY8MQL1GzZBl159DSOxKqiWo9VSFJaDRy0fS7dVCMimb+unPc1rJlokj3mMwcOFjPi+9955G1u/+hIPtu+IfgMHq+OjwbhxO8xx8RvB/GlG31kYyNYyi1QauN4p6vP7MH4kmxdmz3uLOvW05yU5R3WXOycnBy4hpBnkU6KvsTq2ejE0ac14qTBHJvxtIFvQx8/ezNFUARFpZQJ0ezxeLJw1CcXKVFBAdsBiALKVfRxo66Pb4rccMUVRt884/PreNMRWrIny93Rg+ghc5Z/MD2rpRx9sXjM8Fj/cBR5sWLYQvUeOhZXsN5uU8yFjtJcsfhOGDh+JV157HS9OmUyfWVryUnZwWDw0QjthcE90GvMCapUvgTIxYVSYjT7PQZKTisZEYGaLepi4fQ9GV6uAyiQabzbho0uX8GPKdTSPjMFDkUVgdvtgtnhhdptg9vhg8fjUsl/EmWEyUTvLZrajvaUIcn0+nPDm4IovD4d8bmT5vbDAhDCTBREmK5raomgUm/yNlDKuB9rEOWE1wUrE2uwWZbGStcOCZafOo2vl0nC57FSYzGy3wcIXsk1BtM1OAXK3F+YjKy8Pv857jQqrCtVsyGBaEghj6u564MT6dXJKCi2XpenxckyrEJBNWojD+reBbNLCHVZcz1RNSjZu8xQ4Igb35tsYOmgg5r4+F5UqlmfOaK50R7PquT4Q+5vEhq7xuVJ2ODPhMza/b/5lH9rUrYZNOw5gw4970L9VQyntSz9XmhBus6Brk7vQ9e6a9Hnbe/oCfjh0Am9+shUFHi+qlUpCw6rlKdVcRLy1YFULpvX0cgHKxfwo3qP2MhVeExMTqc3Nv5vW8Cbbfsxb8iE2ffcjOj/QBsP79dTRyKWFTibCsBcThwHCEYZzkGYQCgh+YEAL/kmvz4txI9i8MGvuW7xWedDDbxtki1fBgbkeZLOxqEgoEeL964KAdwZokw5BFMgzUozevQXYNvzGwn+QXxxWgF09tt8jnfHz7r0Y9dxU1KxRDbXvqm7wUTlMyj77+4kTqMBF0MQF1iwCEBOqFsknIt5EBUBr87I1kQglyihFoQ1ytgV97ODOn9C2x6OoUqch9v+8HTu+/gJFS1eQjtNRxnXgWtDRZXAdbFs2jIQgUW5mGhUscjidXCXRHwC2hfhZj8efwc2rl5CVmYGIiEiNqBaZMGnukwlYPP8V/LztG7y5Yi0Skoqpz6/oB7r8aXm3pkfI+yRnoxHYlr9XPoY05x0sVxFcFM2K5GvX4HS5EBISqvGQ3frzsmHLJh/xmgrX8GvLwDa/r+yTigAdeaPjI71xcM9OvPL806hU7S5UrH4X/R6zZnBRhc4iwsLRsFkLNGjaQhMobd76frbp96P7wGFURZvkTzmcLkx/exkF4/zn0bRlG8UpkBAXz527KpDWpwjoo1wyXVeOcFepUhVbN21ApUqVqZGnp5Gz3/Bjx8+/YNasmej1yCNY+8EK6h03kRIbush1gBdcqXuplt64mZqKEIcdDhIyF7nXPi8tl/bt7t+weutPuJ6WgfvqV8esx7ogMTqcTebkWHe+dsLmz+js1Zuxde8RfPr8UBSLDmNednZxtcDZqGl268B5IZ1LEyHXHWctVxt/Z6MA1hkCf+ZNxbBgwE7OOeSqqdywKF08ES9OmkDVZ99btgK9e/fBW2+8gZgicUoutnjaRa626jblQoxKvWtGC+3aszf27tqBFyaMRbW77kLVGjU17BktyA6MbCsRbAOWDRvLCOjwwsafhfPnzmHNmjU4deoUSpYsiVKlStEIPcl1YxdG3BxxoYLcdgG4pfGxcpWq2LThU5SvWElzoDxOyELl+vfVe6PCUqpYa3AC4mcz01PhcIbA7nCopxwEZMtTq3aalSP/Jix4/WX88N3XWPzROiQVK67rN1rMrGBn/n5qaipiY3guNf+DRZ6/8oN+7bbSU9gfrP6QUO6NKYa/s5G+VCTMjvOpuZq5WtDFCzweZKSlouJd9dCoXQcFyKpRbJGXHQRki5rYQSjkLF/bj+KNH8C14/uxe9nLCC9eEbGlK8Fn9sNnYa5Ks9nHgbYJNhpJN6Nqk5bYueUz5ObnwWpx0d+2SUCbppSZgGYtW2HZ0sU4cfoMKpYpCT9Rh7bwsdXsZeCRpAmFhGPBxFEYMm0u1k4dCaeDiTwGy8Ik961UfBTm39cIE7ftRvPEODxUrCgqxoRj2/XrKBcZRmna5nwvBeBmk5eeE1G0sHr9sJIqIyZeytTPnATEhrGZLahlUVOr9EEIIXgmA+08vxcOkxl2UiOd14a2yEDbwZaLBfk4kpaOkXfXgIXkZtutdE1BtoMAbTstn0ro4VNXbsLPh05g1fSnULpEMUYZJ2MJsTMterAtRTOV16riNPkbdu3ciQYN6uuuYeAwEwx0EHXwv7OR55TkaqflkoAE1/LhYxZ5NuITiuLdxUsw5LGBeP75KWjcqCEfp/koTOpZEwekiQh9SfnN6l+mzndCjFRK8dqyYz92Hz2NNc8Px4i5y/HEgtW4q2Q8apUqqgXn8kVRQDJxtpjRoFwxNChfgu4jzq1jl65hx7GzmLRoL5LTMxEZGoK6FUvjrnIlULtiGUSFhyqCZmLeEyBczfNWa9ALpXJF5Vy8T1kXDGSzY0iCgx/VKpTB+s3foko5IlSsAmmuZKL6Fem8IAFwjROSAXFJDrdQLJZ64yZcoaGwkxJrBk2LoRCwDjzWj7dem4Pvv2XzQiKZFwpxEiNoXw4E2UbRbfW3jUE2+S8x/M5UoLgj1HHSSL1Y7+XfJcuAfn2QXy3kvdtuJsO6xXn5BWjRsSdS09Lx8+ZPEBMbK3mOiEdQre9IBi6Sz/LijJl4e8EC+l2Kl1lHBScD89hRw3H86BG89f4qxCcmBc0V1NLCjEt4qGDZj3OnTuDjhXMxaiah+apqnnLEWlsL2yBXW1IrDQTXMpVQ1RpUwY8JmTeu4YOpjyM8pggem/WuhgauzZlVaxcf3fUT9v34LQY/M1VVhJaUoXdu/wZjB/bAkKeexZAnntbSL+VIrSFFXB8l0UaNBOXWKGJiSOkk+ahWM6JDXfi7GxnM33//fXovevXqZTDQBFJuVNqn/nUg9UazT/d50a/IOjcvF491foAacO9v/AaRUTE6kTPtwKKl0gQzetj/s54ZjTO/H8WMd5YjLrFoQJTLKF9Tvi8aui6nkiqAm78OTiGVSquY/Djx+3G8+sorCA8Lw5TnnkVMVEQQYC3lcNG6liKKzcE2p4dfunoN3cZNR3x0JNa/9Aylje87fgqrt/6I306eR4valdH9ngYoFRelVffmuZ4SvUXxGn+19yi6zFqCid3b4NmubfQ95vY9MQGf4+ugh+gMBt7MRYrD1bof/u5G54VLx6SH14iuJuWGmbXj9P6Dh/HMpOfx1JNPoHWbtqz/87wxwzQfxcEpUagB5OXm4ZGH2yI9NRXrt3yHmBgyL6jjhab/yYwLuQ/LgFwaX0YMG4ojR47g2WefxaJFi5CYmIhu3bqiWtWquHjxEs6dP4eNGzciLCwckyZNQkJCgsa41RojwfOw1effaJ8BfVxDOw983zD1SKKOk3b92lVMHN4f0UXiMHPhyoBxWI7ya55vjdaH1qH2wzdfY3jfbhj19HMY9RSZFySaudmYLi7nxw8dMhizZ0xHbEyUphqAeM5VyriOWmpEHSdrZxgsJe+s8r5Ry3N7sfN8KgV8Iv2BzNn5+QWYM344+jw5EbFJJaUINs/B1qmMG+Vnk7V4rS/1pQBt3gc87nz8/PJwuHMy0GLiEoRERLF61BZCGTfDQWjhNgtCHRaE2K0IsVvgtJiQdvkcylWoiBCbmVLKCXWcLJQ+zfO1h/TrjR9/+B47fv4RpZISYKL52vkweQsonZzka4Pna2/9/he8/9kWLB43AFZC6S1gedpk8eXnK9RxuuQTKrkbBbkFmPfrQVom6olqFWAnQ3a+l+ZuewtI3raXrelCrpXqmBDXRaHp8+uvN8ZFU/oeFwfL8HvwVtYlRJmtmFSkNLUnrE4LrA4ry88OITnaNpicFjy18wCmtqiD0gkxSm42y892wRrigplSxl3YvO84Ok+ejwEP3Yt3pz4FE60RTSjjIi+b15CW60pT4G3ha167nIM1wizo178/Jk6cjPIVK2rGRjUwZDTf0/9p6kBCpBFb5M420o/PXM+SNIBUfRViW5J9WelpmDjhGTRq1BgDB/RnzlSSJsJrUmuo4pS15mGOdVq3mtWyJvMPYZSRNTwFOPz7GTy7YCVWTxpG8+xzc3PQesI8pGbmYPv0EYihaV5qnWnRJ9iYJ0WhA9TFJTq42YS07Dz0f2UZjl64gtrlS9Kod0SIC3eVLYFaFUuhbsWyNBVDjmZrQbZZ+zvCqUJey+/xOvVKOT05PVb6ngB6uEJdN3hfI/Bmps8NydFes2atMv9cvnIZvXv2QFxcPFatXhM4TwVJWfIH6Xtke9s3WzC4VzeMfvo5jHjqaalfqmaOHAzV27Gy7VoYyDZi9xrZwhEOK2okRd6R/n7HwntkgKClvrJvGryp/Pe3N1Jz96NFb+DuB7qgc/8h+HLNKl6XU4Jwksv8+x9+QPPmzY09fFLEUO/kCrYoolQKPVwnfKaji6dcvYJFMydi1Mw3NCDbeC2LrBlT0VWgHQiuA4G2MI78MNudtN5yZFxR+mDRptTfEaW7tLWXqzW4G1vXrkDylUtITCrGo9rMCD5x+AAmPT4Qd7dqi0cfH8t/VxUeQbCotgg06O6rfDh1sBjSxiXcwb9XPibU8feIe+gbGQhJNLt69eq3/xnZfygFXgS1U/1D1cg2bXR/YHSbXNIQlwuvvLsMfR5qhXGP9cKCDz6Fw+XUYC52vcR9Ub+zsHrZLFLNrjfJzSNGlohYBQPcMjhR+54sLBUIbAxzNHkvIsft2vkr3n77LYSEuPD0k2NQuUJZZlwTAZ5gkWs+SYvoNc29pjnY6vsuMxBityHcZcf0RR/ip9+OU8/0Iy0aYOaAjoqYkt9doCvxJcTHJG86gAOnL6HfayvQrnYljG/fXI1k/xHAfIu+U3gLpAbba9yDf6KRecEcGgl/xnUNLU7NRVMndUYTIwYkAUjEYPCjVvUqWPfBckybPQcff7wGM2bMRJG4OMmRI1c7UKPbLKqrMjZCXE4sWLIcHdu2xLC+PbBy3Qb6jGrBoTHI1palM3bipaWlYcGCBVi1ciUiIyOV/UUTi6J+vXro2rkL9uzdi6FDh6JHjx504Y/ubdx29SBpGDA8QsOIMaCN387PCaOSXDuHywWn00XZSHJkPciHVLtTiqLJhxw9eABPDR2AFm3aYcQT41Rnr0owK+ys6OrGzZuIiYnWPDdqidAgn5WVyJWJhv1nLlIK/0Qj4DUh3IELabmq49znx+KXp+Lu+zsqIFuvIi5o4QpopKBaB7B5VFsF3hLI5r+jGJkmG2oOfhE7XhqMX94YjyZPzqf3maktqw5Q5jj3cr0MCzYsW4D7OvdCzXoNKLVc1Ny2mElkm30mLCISoWFhWLpsBZ6fOAFmC5tZ2BxN7Ag+Q/l8aNOsEbJz89B31ntYMv5RuBwuElPnc4lKsyXjAqkzTcpfESXvcc1q44fTl/DEjv0YXrU8akaEs7rVQu3bJhYfpZBTGjlxQAhHhEdWeuc1wen5aTugGANEoCECFjjNZsTb7LA5LLBSATQuguZkYJu8fvP30+hQqRRKxUXD6rTD4lAXEsk2kcXmwIFzV9Fj2tuoVrYk3pk8RhU+I5F/ArIpkBZgW1DHZZCtOiTJGJpf4MbwESNw331tUb5SRTWFkCMOxfbS+V1lgEFE0P6JRpw6ES4bzdemkWwxXhB7mZ9UeGQU5r+1AF07tseA/v2oDRDYpL9KMdBl/RTBUvMgKysbT85fhuXPDqI2C5mHnWZg5RO9cM/Et9B9zjJseLofnFaLTnhUjuRomTOabaWmtgmRdjOKRoUhNTMcrz/WkaZIZeTk4dC5K9h3+gJWbfkJNzNzEBcVTnO9m9esjLLFE2nKBXM4S9RxicFAX3PQTZ4HVilAAiciWK3Yjfz66K9dsHHcoB09ehQVK1XS9B8yJ5D0neLFSwSCpj9gyfj5+vDBAxgzaABatmmH4U+MK+TYQJBdeJwhEGQbMzm0dbnJdsnoO+dwumMRbdKI0ID3ygntU1wYyP4zP618n3FEW6x37f8Nrbv0Rtt7W+CD996GhZdK0Aihma0Y/vhoTJgwgZaDIbRbAWCFSIkcTaaeZY+HUseNBNBE9FrxmOpqYmoj1EQB+hBiixajAyVRAdUoklMPdGDkWlsS5PaBtl4II5DOK4RRRNSaCaQoEWwpoi22ydqTn0cHwLCwUCWqff3KRTze7X4a9X979QaEhobS42WBnACqoQzCDICaTB0UE6AAd3IP03+n2Ge3WhAdemdoILfTSEkUu90OCxkMbyOirT9GeJ0D8u0L8Q4qx+mcRgf37sHArg/h7ntbY847S1nOq9T8f+CRFNeb9imvF1aa887fk653YRHuAOAdJKIogLasME4m0a+3bsHCdxaiQvlyGDV8KEoWSwws06Wniys51mzSZQuPZtOyMmzfjdR0fLzlB3zxy16UiIvBIy3qo0nVsiyTIqB2NouMaRTHFaDNrtH5lDS0emERkmIi8MVzA+64s0dbkur2miWpPFwte+GfaiSa4Du7j72QwDYD2SbJCy+89jz/UJeXuHv/b3h+2nT07tWLAVUiAsPp4lohSm0UR34e9u3dhR4dHkSLVm3w9uLlsJJatpp+aSx2pmdeyP37/aVL8eOPP+Kdt9+GvdBqBsQJ6cPoMU+gVq1aeOyxx7TP721GtUXkWTte6McVOX0pMLoQjBmlF6mRzQOxpQHPMnPFIJotO8uuXDyPXg+1QWLRJKz4ZBPCSMmcAG0Gda0IHuq+q0uXLli/ZrXxMy+rE4uIthS9ViLg4jl1RcJSrDL+qZbv8eKH0zdRQCLSBW6cPHoIRYqXhDMsUgLW2oi2HM0mas1UWVsC3UruNhdNk6PcsmNetcfZnUw/dwR7549BXLVGqDdkOmw2K3UGENVxlxBD4xFtsiA3C0unPYnJb69AiM3KFMiJOjkRAyMLoZvTlFEPRg8bghHDh6FJg3o0mm0mEW3iACXRbRHZLmDR7e9+3oVXlq/F+88MRpTdTCPbvnyysEg2XReQbbeyePILkJaeg5d+2g+HyYThlcvB4TNJ0WwvfG4fvG6S7kPAtY+99vBtUQaNOyCEKKncZCexYgdZzLDaGVWcRbLViLbVZcUXV6/iZFYOJrWsyyLYigCaAxaXC2aXCxZXCC6kZaPJ6Jn0d05uWIzwqCiqPk4BNgfaWkVxNWrpNwmQrY6TWdk5GPjYY+jTpy/aPfCgYu/5bsF8Yd2BHUMdQRF/fzRbNNI/T9/IotdY1lvRlOc0mTBl4gT06PEI6tSsyVXIWdSaRbbddK3uI5HsAhbBdpNodj51iJP1M28sQ6valdG6ZiV+jBBK82LX72fx4Kz30bp6OSwd0pGOZUGbBLDF/Cui0tQpxN8TOk7ERlLo35IIGjn2WloWfjp6Gj8cOomTl5JRrlg87m9YEy3qVKMpFcbRa75NdRCYAB4tp0e3eaqBErXWza2aiLVUOq6QiPbipe8jJiYG7Tt0lGxSWcW+EFv0NmzWixfOo+v9rZCYlISV6zdROrreISR/p+xT1du67DMqOyvY+bDvkBKm5N8BEOW0onrROxPNJu2vZ3lLjYhfkFztjMwsvPTmIpw4e64Qt8kdw/eGrX7tmlj5znxs+HILxk6apv6aksvCzuvixYsUZIuIngpO1bNUbyaplajmZ6uLVEZD2fYbgGAVDJ8+dgTLXptOP28EsgUFXQXT+veknG9pW19XU19vU5lghCNA2mafZ9+tHKv8hgDxfE2NOj9sTic+fGsOjh3YQ1+n3ryBZx/rCaczBLPfWwWHK0Qy+AycAEYPpcGiCVgEUJ60r+XvzMzIoNthf7EO3h9tZGAiJavSMzIwZ84cnDx50vA4OfIjR4ACnA66yI9qyMqGqqzaLXKZTahZty7mvLMY323ehFemTGA5Z9wpol+I8mxhCz2GK666HDa2nwrDEOohow+S12JbqLOytXhNjmHHi3Ip9Hjlu5nBZqO5cX4QHVVPfi5Wf7gSHds/jH27d2HJO29izvQpKFU0TqUn8oUYb7S0DKcpEqOOGG/+glxSf40uVAGXquDmwpOThc3bf0GfSa9i+OwFiItwYfWkIXhjxCNoWrkUTGQyzs+Hr4BRGv10XaC89hUwY5CuC9x8KUDKjXR0mbMCLrsVqx/vBhdhIoj33WTxBF886uJXFm/A4hPbov5sIUt6Vi5d22ve+48+C5TtFBFPUxhmv7UEJ06eorQ+Yuwwqh83kgQdkC9iW+yvV6sGPvv4Q1y6eAH9BwxAbnYWZTgQtxFdNAq22lJvgpJct259vLloKbZ8sRHTJj7D2BHBFMXlZ85gJiP7P/zgAxw6dAjvvfsuA9mF0Z3ob5kwf95cSjV/++23tU5FZZHo2Lp94nf1ZxPgcBROr8BDje+R8gcGd9wERqh1BxpEs8W5p964gWG9u8HlcuGdlR/TMn/ydwYdB2996rqDtJ/klaE1LDayZGRmMybQ31TOK1gj1NwS0S6kp6XhqR4P4NDeX+HiIFu7cHAtge0CUb6Kb9NFt03f1y0eDi5pNJcCdBbdDSteBVX7TcG1Az/g4EdzUeD2Kt+VryxeZdsaGo5hsxbgyqVLyPOq+/OJwrcA+aSbW2yYM3c+pr34Io6dOAWf2QqfxQ6fxQG/1QE/EfuyOQG7iy4tmjTAiyMHoNf0Bdh3PhlmVyhbQkJgIQulW4fAGupi1Guu3B0TE4YZbRrinjJJGPvrAay7fBl+pwX2UDvsYXZaYotuh9rg4ErgDpcVTpcVDidbnA4rHA4LHIQezxeHWAiN3k4UxS1scVhoJJtEr6m6uIhiU6VxK36+eRO/JN/Es81qw+K0s2g2j2ibSflKkpdtd+BGTgEenjSfimL+sGQOwiIj1Ui2ANlSfrZQFxfbBFjThTgaTWacOn0GjzzSA48/PpqBbH3qjGwT6YkffiAzM4NuRof8fcKYRo04LaJddvr7b897FadPnlR1jiTbrkPHTtj4+efqCSvOIs6QkNNBqPCnyMcWyuMe7Dx4HDfSMtG6VmXmcCfzKaGU03nYjTolE/HeoI7YtO93PPvBFurIkR07xOFjvOSzNUlzINtinU/sDZIu4WE2At9Pt4kTidsOcaEOdKpfFa891hEbpgzD4w81x4nzl9Bz6hsYOHMB1nz9IzIz0rmzgC3g5606CliQgLHzpJQYEc3mjC/5nhs2A6c9OfSnn35CgwYNDIM5wUF2IWuoy40bNzCwZxfKLnt3xccUZBuep+Qg1ATPdX+LVlz21iBbfibIkpWZSb+jdIx0Hv81oE2/MKIIPvnqW+w5eBhz3l4S5KjCaF53oHHr5aF2bfDGy9OxYPH7eHryNF7CXUUqN2+qoioam0i5CTpgqBFK00ecZXq3LldQKsklcoN+2boJY2a/BVc4ERLT19aUy4Lpcq1EqQYFdKvbMp1cA6QlkC1H2GV6WiBFXaWc6f8mtaQO+/se7DMInyx9B2kEZA/oSsu2zFz8IaJj4zWCbVpnhpH8js5VJW6MDmzL96AwsL1owdvo0v4BbNm0ATbi9fuHG/FkfvbZZ9i3dy9ef+3VwAO0lrPKjhSRNDnSJqK8IncZwQG3yGNWQIbJhDbtHsSUl17DB0sX4ZVpk7Reeg7IC1sU1VU9MFe2ibiMuk9ZBGiWADhbc/VWDuBVsM0Ato0K2Phw5cI5zHjxBTzSrSvysjKxZsVSPDd2NGLDXQqYFvVaWTkZAbD5ooDrHKW8jC+P1G/Nwbnz5zF1wQo8+MSLOHjiFF4e1BkfTngMnRpUg93v5eCcLT6yplEWAa7zlUiLiLzIE3PyjXS0n7MCN7NysHpEV8S6HPAWuNUl3yOBcmlRwLZXu1BQTYC32PZSRgGZXMlas58Cbw6+qZCbD29v/oV67D8/lwVLTOI/9xCILh5bHOu/2oY9B4/g5XeXs4gDjT6wyITIt6PAWtD4NcrwbD/pI08/ORpDHnsUPXv1wvXkazqwbJDXq3NGEWN01iuv4/33FuLFyRNUIBuELq7iT23qAwHL69evx5yXXmIqvcKwCbZw44ecz6tzXsa5c2eplkMgu0eyeXSIUx4q5GM1h8qvFeAbAIu1jjsJ3N/W/RSRHP14xXcKJwVpxPk66JH2SE+9iYUfrEORuHiF5SJ9Y+BvGPyu2+2mkVf9QaKCCN2WaJ4a6M4ZcPPf/xCt+4zA+m27YHLcWYPqdlrZmBBsWPEu3T534piOLu7TRrI9KsiWAbDYVkC2AogZWNYD7IKcbCTv246zW1Yg69JZ5Fy/hty064ip0hgVuz6J89+vw+E18zVgu8DtQ77bR3PLyZLr9lHAvHHlIny38RPkeXx8Yb8twDY5d2doON5c+B7GPPEkjp04DR+hQFvt8FuIorYTfpsTfhLBJTWkHS7UrlkdH748EW98+jWmf7QZXrsTZlcYLCGhbAkN0YBsGinmNalbViqFxR3uoWUUx/y6H6svXYLHaYYj3A47WcLEYuMAnIFvArztIVY4XAyAOyQA7nBI204r7C6ysNrYpIyX1clKeZHXZPku5Qa+vHgVL9/XCA6Sk+0iEWyHCrQJyHY4cCO3AA9MnIdz165j5fRxrBwTVRmXamVTMM3p4xLoVgE3A9lk+XjNWjz51FOY/9bbaNikiVQGUc7JDszNFm3JwrfRo8ND+ObLjZT190+3mFAHtm7aiIP792LhG3Ol81PtQzJOkHKgsnGoAmy1BKdG1JQvBGwTyvjkRavx8pCuHGQzgErnUzLX0vnYjbZVSmNOt1Z47/t9mLz2W6YRQEE0W1jJuQJW553We+dl6PhrZZ2j7qel6njJOnkhwJsC7jxhUzD7omyRCIy8vwnWPfcYpvd9EOnpGeg/4x0MeWkhvtu1H15iwxDATXPORdkyFWwLVg+5iHQUlMC2FLbSNHnsVIOQbElJSaFVHggLSQNYbwmyjYNptPHVzes30K/Lw0i7eROLP1yH2Ph49W191BraZniMjBX0OD0YyJa+/+OlCzG6Vwfs3bYZYY47K5p8xyWYCaWhU9fuOHPuPB7p8IDYK8Xm/95Itr4N6tebKoU/8exkSoN4acY0ZQLfs3cf6tWrF2gS6bwcmn36RQHbKijWq4HLAPZmSgq2b1qHbiPGaqh7MsgOJnqmUSyXwbEMsnXAWC5RFuDK5LeGGCa0tAxhivi1CyvbxfKuzfw7hbq4yNWOii+Kezv1wKSB3ZF2Ixmz31+H4qXLsbwbSjHhRhd9+JlvjT3X5Nyk/OygVp70OXEcX7PMb5NhznZkVBStOxtH8/n++UYmiM6dOuHsmTPo2k1bbu5WBi29OzT/lOXNyX+2XhdSHG+k2ypKBpH9Pfs9Cq/Hg2kTxtHvmvDCjNumHstgQz7/QMM/UNzOaL+cuiCcCOL9yxcv4rNPP8XWb75GQlwR9OvVEy88S87Zx4AXiVgrNFEjUMZp4kodTY+y9rnz8fWvB7B047eU7jiwbVNM6t6GCiURZXECxtkELdfK9mlAq6JKypV82X51QLielY0ub67BtYwcrB/RBWWiwulEru8bRh5k9X6ob7CXKoDR3l9OYdPdLFWNlbVIAvR9fsRUb4x/oxG2U8duPXD63Hn0uP9eZhxQCpxP7b1kQCExaq58Sp9uus3SL1RFVKB5k0aIjXmRRrbnzp1Lc8gE3FPytWmhBDGpMt0C0sjrfo8+Rp+F554eS499YcYsiRauF/gKjN5mZWVh/LhxWLJ4MSzEo6UYNL7CroIyOJF7M3vmLPTq0wc1a9ZE7dq1teMgT7DmlSyVz4s6G/rnnO0Lrj4e8FrJ5WbXS9knLlChf4U6BmiecYNodlrqTQx5pD2uJydj6drPaW3UgNQSo0X5BW0j9eqdDjkFSAXRitK4XNJL/go+10RHRtCykxFF/5ncbKP81DGPP45XPF40attBcaqrSuOBkWxN1JrvCyaKRqLVxA7IuXEVV3ZspNG14i17IT8jFWGlqsNkC0HW1TO4+stnCC9ZFSVb9aag4+Qn8+gFq/HIaDVdQug0UWeVl24/OPRpLJsyCtXq342kxARdug83001AbHwi3l60BCOGDMRrr72GqqRUE+ltsugTTxUhtNe4olaseGkSPtq4FR2ffxPP9+9IlZ1NNivMNiv8NpajzfK12UJe08VmRZdaFfFw5dL46sQFjN/1G2rEROKRMiUQabdTZ6W3wEKdkIRK7iP0cZKrTcd1v7LQR1jYqAqjheR/m2i1DZL7TdXFbUxdnFDHPzh7AWeyc/BKu8ZwEpDtdFCgTSLaZNvidDCQnefGQ8+/jdNXUvD8oB5o37o5o4sTB4RVAtUUZEt1sklkW6IAk7E9Ozcfzz47AZFRkfhw9RpYbTZDoTMjCi99FHhfJDaSz+dFIilJ9S804ujv1qUTzp89g4e7dGXnqbMHr169gngKwoyNcCFySNfcFhCpYGR5bsFKPN3jfkSFODhIFSCbCPCJbeag7l23CvLy8jFxww+0b0xpx+dLmQog5mF5TpZp5DzHmuRqCyo5pYCL13zN6OPqPjYf8tQpixmJYU48em89PNqqAS7cyMDKbbvw2sdfYlK/jmhQrSL/m5klyATTSCkw8oyS7+YRbWEMyxNB0Caxfyj1HXh/2XL07z9Ai4Pw50C2n15HNZLdt8vDSEm+hhXrPkfpcuXZZZaOkV8btWAgW8/a0GoPGQulkUb0JcizUDYxFne63dEcbdEIdcN79RTr6Ope8abRJ27jW6UeIntf9N5rJQdQyv8zmbFgyTI88cxEDB/8GF55aTYtrTDr5TlocW8r1G/QgINdAVr5ti5PWytAxqnd/DNESVREiJVosEaBnCjf5mLW6IHoN+55JJUlYhXaCLRQJL9d0TPttgTSRd6RlHcn9M2MriqJxohcWItBjraVU4ZJPTmyLfKzRb52+vVrmD2iN5Ivnserq79EuYqV1e/hEVGl3jGnc+rLO+mNWqPIjj4HWBvNUd+TewuhjJMB9t9q5PHKIx5LnnMfNHelkIGLOST49+k+IwYP9lvBPX9yW7H4XUydMA59HxuCydNfgiWIJ9so3iRf72DRtaD59sp3MDEzsc/jKcCunbuwdetW7D+wH0mJiejw0INo3bI5HDYbz6uUcq1lBXEhbiYpiYsJVky2ZGJNuXETK7/Yhs079uOeuyqgf5vGSIgIlcTQ1PIf6pqD6gCgzS42e48baRxoXU3LQo9FnyIlKwdrB3dC5UTCmDF2ZiiTtXYnH8rUi6uUJVLKY+mPl/dJn5eeGbKyV22EkLvb499qxAjwHPyWUsaZsAvLOaO5ZXSb5bJpRX9UNVVqoCvKu2zf5eQUDB42ArNmzkK1GjW0gpL8mZBztel5SH1xyaKFmDB+LB4bMhQzZr/MNAdu0afJlw0bNhR9evfGPc2bSSBbpYgbNmWOIi/MCquqV5/e+PDDjxAVFRVUXVytKmBQYUDZVsd62QnMWFWFKJNLZSn1VQ/Yn6v+PUrEWnN9RC6rNjebCH2O7NsVN1JSsHTtBlSoVFXKddcqkQeyEFSVcXkfiY5PIOruCxeoSuLU6cadcPy1vF8xwpX3vDCFFYG5SEn8W43YBRuPXkVmvodRrgXA5kCagWlGyZaj1vJ+IY5GnAZKjrbHh9QT+2ANiUTmhWOwRxVFOAHXwp0iO16I4yL5LAMARCzq4hGc/GQ+St7TBTV7PAGnw05VyJ1SrrbI3XZagKzkSwh12lGqdBmap03fI3RrqmCuspRSU5IxatggjBs3Di2aNoGZq0PTvG2aNkJSf5gqNFUkd+fTPjNx3hLKlJravwOiHFbOLpIig5RR5IaPsIg4G4itCah24+fzV/HBoVOIsFrRvVxJVCApejRnm4AqAbaDAG1+kcQYTYE2F1sTpbwKLCa8cvA4SseEYVjD6rDxCDYF2TSi7aQg2+J04VpOPjpOW4gLKalo1aAmPpozCSaHUwXaFkkATVEbF7nZViWCTWzZo8d/x9ixYzFqzBjc2/o+5flWytAaAAkjkC0ix6ScV0zYP6dfo29k3CEK5ORchU1J6pWL7UXvvIXyZcvigbZtYKbzO+s3St/hedk0FYk4cGmqGEnxysO2nfuw9pufMW/EI5TKTXO2eYoX6yucRUaYYG5iM7C5fumvhzD5y5/Rv14VTGndgNqu6jgoz7Hqtgy0CXDWAGtlnwq05bW6nzuS6FwnrWkOtgXXs3Ip44N01ZdH9KbCg6QcHFOqd8Bkd7DXoj8RJqeosiTrUyn52Zagudz5bjel7W/YuIme/610P24XZF+9egWPdu+M6ynJFGSXr1yF9UfpmD+iNG4EssW+wDlRHQP1nyUtKdyJ8nFhd7yP/y1FhclNMUfEwZd65TaOvl2cL5lHwlOjTBhSYXhDixYYNmggrHY7Ro99BpevXcPS997Dgd9+w+gnnmSqy/wOqWaSDtzIlAkddYJ1ODmHWWvgCeMlMz0NHQaONAbZ+hIMOpp3MHCtF2LTnoNxB5MuC7tkopA2jxizhSuN8+pFpG6zOGfKkuTfcOHkMbwyuj/9kcq1GyA8OpZHwUXEm0VkqQI4j8YQ0TnxHQoQvEVUm4mIs0gV/TvEcUokOzCyTXoFqdf4bzZKe7JaqSLoLY8VF0ET2WLvKKEtYQCIiVISBNQMSFIT10pcsgGDh9B80knjn0TKtauYt2ARnC4DERQ58qT8PRJoNhS109FuNSCbUb6II+70qVP4fvt2fP/998jOyUaDenXR8aF2mPbceFa6TQgXefK4ES0DbQlQE+qUAqpFaQ9GGfO5C/DNzgNYvmkb3B43et3bABumDKXxUUq5zstl+c06oM1ANo9UCzVxBWjz0UCAbf6AkWft+LWb6P3+RnoH1gx8GBViIuAt4M5GfZRanpx111yzXxEDlCZ1Bemwa80imSo4V6LZIrJNdtoccNZuiX+zESPCXLQCvGf2w2Rh15YyCTQa98TAZPefjhl0bObuN2WcJu+Rp9uHpIR4LF60EI8+NgRr166B08UFtpSngf6yMoaLfeL3Bg0ZCrvNhvFPPYFrV6/inUWLqYq9tv9qHX9Lly5F+fLlA0G2nlciT1n0ZgSGmol69rQXXsCYMaPx/vvLNI4Xk0EtbfqVgqWu25Y/J6JC8s8JsKVGswuffZVhSNdHDZ91XTT71PGjeLxvd3q/SCS7fKXKOsccn2/+YB8izoi09PRbnbC6phdf4+ajRqUpmtTM/fcaARHVEsLx49mbGtq4EDwLiGIb5GQLkE0i2CT3uiAvD4eWTkZoUgUkNu6I2LvaMHtCGaPoxZD6pQmOIqXgzU3Hmc/fQGyVxqjQ9SmcWDcX+WnXUW/QVPhDXNrokHhht8BjsuDtKWMxesY8pj4szUv0mSUomeT+xsVjycqPaMrHwYMHMXLYUFhIThOxEyWRLxOP4BJQEZtowzvTxuPHXfvQa/o7GPvIA2hdsyJ8FivMFIxaaa1ps60APhrRtlCgRCLbZG1x2NC8Ykk0LVMMJ6+nYdVvJ3E2LRMti8WjTVI8Qk12+AXY9nKgTdYBkUvWj2g0m4NtUg/7QHo6Fhw+iaF1q6B5+eJKPrbVRdYsim1xEqDtxLHkNHR68R3kFXhQt2o5LJ/5DAVEDGAzyriGNq7JzWZORzqqmExYsXIVPv30Myx49z0kFC1aCOgJBEFyU/rCP6g0XniNeQdSMvPUnRKz5eeffkLfXj35+WrzsZlDTY5ki7zlAlxNTsGsZZ/g48lDeV4zA9h+GWTTiDYD2WralQ9976oAs9eLyVt3Uuf5a/c3hoOAVk31YpllJgujScDZpAfUYluo6evAuGBrcKV9IXxmsnop0I4NsWPu4C74av9xjJ77PhY9O4Q5LGkky6oEB5i6vy6KreAjeSyULrYCqthrEs3u2bMnUzrXlA0OEiy6BV3cD+D4saMY2KMLPXbF+o10XvgzIFvfggFv7YZxkx73O6o0/rdHtEkjX+u9doaqTPI94g39kUH265oRiFYoDkLFVnQYqVarzmuzcfNX6DtwCGrWvItK1G/64gvDqLVc/5ru19C6edkuMUFK0Wx9nrUAzF98tAxFS5dD1XpNNMrmFCxLkQq5HIfyu5pc7OBRbD1dXKO8p3kIVGqlJnogK4zrFMep2iZfi1zck/t+xRvjB6NIYjE8++YyXDt/hipt31W/Ecv75RFtUSdRFemSo9tBwJrOuKW3m/8XjLrI9vH3TECE04bIfzGaLRq59rkkJ8dI2ddwcNEOWOw7xDF8EDH0Tku/GeRc5Cdoy5ebMHLwo6he4y4sWfURYmOLBB7PL3oA0C7M0NbtIyd36uQJqsxMJs1r166hXLmyaNm8Ge5pdjeiI8J1kSfyh0tRKb2SuBK55pMqEQiRKOIXr6ZgxRfbsH3fYdxToyJ639sASVGhGnVxCrSlXGZGIeRRbAGymceLR6zVyIeYcRTnnN+PX85eweDVW5AUGYZlPdsiMTxE4xQxjlwHo45rPeUy2FY+o/GgSzQ2PmnqPe7O+m0QUl9fv/ufb+Q6eg58DX9etmIc0Ii21aaqphop7dIIttE+5onf8s132LjpS8ydP18bEdZFeOk5SOcjLv/mLzZh0KP9UeOumvjgo9UoUqSIIcg+dPAgpk+fjo8+WMUcQjJdXCm1In5FWDnc6SEbMjoj5/W58xERGYmBAwcGGCuaSEJAZFp27AaOLUZRCNkR7Cskoh2s6Z996KLZe3f8hKcG9UbRpOJ4a8XHKJpUTBu95p9VKcfq61tFtMnStWtXrPv4o8CItpyvKUe4ZYOcjCvhcbD8y0Ab/Hp/evgKkrMKqO1AQDTJiRYCZDLYDqCQE6DtYyDx5snfcP7bD1Ghx3MM4JJ8aIVpA8kxqDrc1TGCXVvSMzJO7UFkmWrIOncIxz6YjogSFVB/xEsIj4pFiENVIWdrC62lnZ18ESd2/4j2vR9lEW2rWl+bLIomB41S+rHwrTdoKZ9X58xBbFQELGRcp9FJVRiRbFMHKhWyzEdWRhomzn0PXrcbMwZ2RgjBO1SZnAtREr0MqnGhRrRlOrAQjMzJzceWE+fxxckL1D5pUTQOTROLIIyItRGQTeYA4UAVgIrTe80EEJHovNuN+YdPIsRhw5ONaiAmKgxWh02JZNOcbAKyifiZ04mfTlxEj9mLER0RhtJJCfh07gsIIeJnIi9bys3WA22ljJfJgszsbDw1dixKliyFp8Y/TcGXbEsUpgBNe0DA88zLebns/yrjTzkbvx8XbmZT21dovpA1cZb379ML69Z8TPsKFcak+h48qk0FNVmkmvYXrqniyc1Btwkv44V+7VG1WBx9XxUwLYBX5GYreigMaFOBUWITUAe8D1+fvIgntuxAldgovN22EWJc8rXSU8fV/iLKfKmRax34FqkPlN4pHSfK2Ckl7cRxBGyThTiYbHR5fcN26hQe0eV+FskmegdU98ABWOw8si2xIpT5UlWsDxbdzs3PR6fOXfDphg0wk74pqYzLLKk/Esne8dOPGNa/F5KKFce7qz6mJYH/KMgW7yv2r4H6uXyMkfK4DNjl8y4V7brjImh/O9Amjaj8egk1ib36h4C2Gd/99Au+/eEXPPfUaDhDQqVSMaxj7dyzH526dqOU3q++2oK7atUOWtZLpnRTATHJOJHLeIltRh3XUsaP7tuNDSsXUfEzEs01opZrKeSBIFs5Ts7T1udkSwrlGoDNjxeXWTj7mZHDgLBSr1gG2hxck22SVyYo5AQk//jJCqyZOx2V6jTAE3PeRXhkJJ28ft+/E9XqNKDiY+78XLw8bjjKVKyCwWOfM6SQi1JfhhRyKTIqBfFui0ZOzjcxktTJ/aMxk7+nkYgDGbwCHn7y5i3AtrJf95joQbe+kd0/fb8dP36/DU+MewZOp1ONiPL/9+3Zjb49uiIkJBSLl6/CXbVqKe/J151tstCY7BdVr7u6n6hk7t27Fzt37sS+fftRUJBPgXXTxo3QpGEDJMbHaQ1jYQwrapkSzVNTC1OtiUn3KaqbbALdumMflm78juZe923VCPdUL8e+U6iMcqBN10aiYdTQUkG2Fmiz/UpkiINt8vwt33sU07/ZjQYlErCgUwtEOOxauq3JhFyPB6M3fI9KcdEYf08dnTc82MTNPeA6z7nxMTL4Fs8G27bGJiCyx5MMyP4Hmi/zBjwHt3FKnIWDbKK4K0qUsFKM2nqxkrGgK/slxvfpM2dTQ7Rvv36MQi5NruRWfr99G7Zv24ZxTz9LnwXaJCfent270aNbF6qIvWLVKtSuVUczJhGlaOLhX/7++4iPL6KliuvrmcoPpRoCUQG3ci/ZmkQmu3Tthnnz56NEyZKa8UF2nMpOWcWZoHl9a6CtfJcOYKtAW2uQKH+G+ifwCI56bVg5HD/WLH8Pr02bhLoNm+C1Rcup80ADrE1ElzAHTw0fhEpVqmDcc8//IaBNPt+1SxcKtCmXQ08XV8YOfSkvPt5YrLAkkjzxO64D+6daclY+1vx2WYlk51EBMlXRWw+05ci2x+NFxvkTuLLzSxS/tw8sznAKGGmakljIjyjRbDWSmXX2ALLOHUBis56wECOd2wFpx3/CzYPbULTRgzj+0SxY7E7UGzoTCeWqUoAtFrnsF9ne+M5L6NB/KE37oXRzCrQtmsoTrKoF8Nve3ZgxdQqeeupJtLm3Bb2HpCQYBVGcEkxBNwFOgk5ekIevf9qBl5d8jOf6dkCzKmXomE8rQNClgItIEserqNyggmwqGEnBlYeCq5tZufjm9CVsO3cFuW4PSoWH0pzu4iEhiHM5EOuwU5uLqKunuT3Yff0mfr12HW6/HyPrV0PN4vE0si3EzlhEW83HNjnsWPT1Tjy75BNULpmEpPgi+OiVSTQPlAjACYCd4/aiz6hnUK1KZbww8VlNNFvQxSlV/KmnMHb802h2TwvD0oVBo4zsdkvWgtqIjVQ0MuQ/YyMRwb2r6TkaodXt323F4YMHMXbMKJgJ0BZOGQG2KV2cA21JvHTKgpUoEx+Fvi3qU10WRhdn6QZMxJT1FdIffvj9PK3L/jgRQSXzhrAPOI38wLWbGPH1DupEer15PVSNjWInLM/fOqAt8rIFyGbRaWm/BLRl+rjyWgBusiYpC4TJQYA20SmgNHGmUN/vtZWY0LcDalQqz1MRXApbgtZll3P95TlVUMUlZ7WgjROwPf+NtxCfkIiu3bpJANsIZN86su0j0evF72Lm88+hfqMmeGPJCoRHRAbYvkR0bfyIQShfqQrGEE2tICA7GFAurJyX4nA0OE/yH3ES1i0RxZ2O/2NAmzRvejL8mTfuLNBWwILI0VZBNlke6NGfllZ6cuRQNGvSWJufwL027y5eildefQ3Jycl49fW56N23nwJuZcAtA2I14q2+J9e+1NTOlvKtTx45iNiiJeAKjwgQPRPHGoFsuQyXTCVXjCsDSjk5Ro5g0weDvyddbRXI6iPNPD+bRa/V2pHUI20xU9XDNa9MxO4tG9C6x6N4ZPRz9FoLAP7Je/NQpWZd1Ln7HqReu4LZTw2l0v2vLFsrlZwSdRPZZ2TQ/0fBtn6/eE4SI0NoKZX/UiP08QKSB2REhSkEbOsNXs2TcotI9iOd21PxoOGjRqPx3U1l0pDyOF04dw4D+/XBsaNH8PJrr6N33/4Gzgvd9RfAghiLydfw4w8/4McffsTZc2cRGRGBenXqoH692qh9110IcRFQw0BrALiWDOOAqJSiIqoKm8giJwRkp6en4/3Pv8aXv+xDy5qV0O/eBogLD5EANS+L5eUea6HULXuvuSCOJpotgLWcgy2o4jxVJKfAg4lf/4oNx85hQK2KeKZZLdi5ur0Y2AXYvZKVgzGbfoTTasWKbq0DPeHKxdUCa0U0RROh1oFtBYwb5IyZLYjqMQa2hH+2jNGtmufsAfiunFSi2ML7LtYwAthcFEgxGLh3XozvZJxs36kLVq1aiYjIKHoNZOBISsM5HE6MGj0GdzdtGnhSJuD8uXPo16c3jh45gtden4v+/fvT60nUrvv26YPx48ejft06EsD2aUG2Mo/pn0RT4LylmbtMOHXqDMaOH4+1a9fSCIYGMEu52vK2/j2Nh/8WQDsQZMv0QO3YoxkHJCenANF5udmY+eyT2PzpWvR6bBiemjSNspsEOBaaHGT72uVLeGLIo3CFhGDl2s9uG2iLiPjQwYMxc/qLiCsSo9bMVsC1nIstv0folF5Y4stQY/S/1H48ewO/nE1VVMMp2Obq4fpFlPe6efowzn29CpV6TWH3jwJslQbNdFpUW0BvZp1dM5k6t+IadmE53HwcIZTu3GsnkXn2AOLuao7jH7yInKtnUb3HWJRv0R5OG8/VJgDbYUEoB9zpl05jzetTMWbmG0gqlkRBNgHbJF/bQddSRQqLCfk52Zg1bQrycrIxdcoUJMbFgmSBmgmQorWR5bxbEq0k2/lIv5mK5+Ytovf9hQGdEGG38KoQXOSKA20qfMnHflGhQa3mIHJy1Yj3qZsZOHD1Oi5l5uBaVi5u5OZReyXEakW4w4b6SXFoUjIRUaEuBrBJFJsuBGjbpCi2A7l+E0a9ux4fb9+FRtUroHLZknhz4mg4QsJ4JJssLIJ98doN9B7+JH0WvvjkYw1lnIjIfr7pCyxevBhvvr0AcfGJumc2WBRPvddGtV1ES4wIgYN4Pv5DLTU7HzkFboU1OWLIILz4wlQULxrP+oaU08/y+lltdvCcbLJs+fFXfLZtB+YP7651xAgFcQK2lXx+D3qv/JKWJx1YqyLqJcTylAIOtHnN9UuZ2Rj38z6cTM/Cc7WromOZ4upJC9afDLTlhYJneZ9KD6dAWgLbBFxro9hszQT/mOgfKxPHlotp2Xh66WdYPe0Jqt5PFwK0Sb42Bdoi7z8QcGvmUCWabUZ6ZhZ69emLTz79TJlDZYdusBrtRkGk7KxsTBo7GhvWr0H/wcMx/vlpsNnthvbulcuXMHbYoxQvLF796S0i3YFAW3s+tw+yybp2sUjKgP272t8OtKkwmkwh/6tAW0YIPD+R858UoH3w6HH8snsfBvbpCQvpbKZAz80zz03EIz16YtF77+H9pUvRs3cfzJz9MkIoGFbznvW0cQKwBVXcKJqtgHO+b+GMiTQvOzou0VAgTY5Wy1FsOYItl+qSjSEjkK0R3dIplmsvp1ojVtRbNgfQxVUBNOL9TD59DB/OGIubVy+hz4TZaNS2vUYYjSyZ15Ox4tVpGP/KAvretYtnqdEbHR1TKIVcnIeeDq4H27dDIyc5R/90TcjbaRSckbIQnGoaQGcNArbl17f9W/yaHDlyCLt+/RV9+w+AhQzcOoVqcR3z8/Lw7PhxWPb+UqqE/NLLr1DArLCb+Zqo/hIQsnfvHvy6Ywct/xBXpAiaN2uK5nc3QemSxTnokGngYgkCtPVRJx3IlkXN6LbHjZPnLuLttV/i9KWr6N+mCR6sV4UKpZDotgDWcuSaeanZBBoAtH06UC0BbgGuFaVx/vwdTUnFuK930gl4eot6eKiCCmTV28Q1BXj/PpeRjUinHdGEfiaDZin6HACguWppwHvKpM694VI0WwbloQ1bI6zZw/ivNSqMtv9r+AtyKB2OGASMEscj2hY90OaCaQEAW2yz6M+327bjm2+/w/TpM5iRID1nhw8ewo5fd1ClcvIsqE19Imgfz8/D0+PG0nmhT58+mD17NgXYDz/8MDp17KD0ZQG2Nf1cjmoXOocJsU4+b/F+suT9ZUhNTaUle/QGjO8P0Md9twm0lZQlGWgbGCcqc0gaPfi0e/LIYUweMwRXLl7AlDnzcH/HrgbjuAq0yV9LVIajo/m88EeANoBXXpmDuxs3oosateYlbYJQx8liDo2GJZKVkPkvNWI3LNl5DpfS82hUjwJuXU1rObKdfv4EzmxZgXIdxsDkCKOAQESyCdgW0WwhiqrJO+YtL+Uscq8cQ/Rd9zGDXlCkOU2aUFdTdm+ANycdnuxUXN25CcUaPYCavZ5CZGQEBdqhBGQ7rAjlke3s65dRJDYWnuwMlCxdGi4e1SZA28kF0pjDnoldEbvh0IF9mP3iC3jggQcwZNBjsJn9NDXI7GNAWx+9JPuoyNUvuzFj0Qfo3aYJerWoTwEYqy1Mxn/OYKJsJ5W5pAXZ0tqrE7sUD5popN9RtXMGdix2mw5os/xsElE8dOkGHpu3Cmev3cBd5UrhkXb3YGTvzjA7XFSwiuZkc7Eqoi5OItinzl1EVGwsYmLjlHHOCzNmv/QSLl++QkV7reSz3Immd7DJrDe93SCafkSi81Dof9NGup6RS5lz2elpGDVyOD7+8AOeWsDEzsQ2YzxIlPH8PFy6fAkDp72Jtc8PgxNexnrglHECsD15rCa2YDYQ+vjRK9ex+8I1dClfEiby3Ci2gg/Xs/Nw7GYGfk/PxKmMLOy9kYrLuXmIdzpQLiwUYTYrImw2JLicSApxokRYCMpHhsNls7JnyiLSDmSwzfRKlIi2Joot9lm0qvpUj4ABbblkHKGKT1y5CQ83q4+769Zk/YxQyLkwmqZEnFSLXcsY49FssoYZL815BdWqV0e7+x9UUo30jKdAkB0Iuo8cOkiZS5cunMf01+bjwU5dCwHO7PNkXiB4ISo6+rZAtrptwOa9TZBdIsqJsrF3XgDtHwXaKoX8DH9h4PG/nVMIANo6Gp4oFaGojUuvFVU9NbJNIh/r1q+nHX758uV4Zvw4RMfE4PU3F6BJs+YKYFbWirq4mkdtFM1WVceBX7/bgoM7f0bfsZMlOrouF1umqmvqZWtp42JROrmm48s1rwO9PDI4ly+nALHaaLYA2pwqTh56vxe/rHkP3y5/C/Ely2LAC/NQvFwlDrBVtXIR1c7PyYLL5YTT4dDQxFUFchVwa4wqEcUzMNJkinhhNHJCUSsW9d+hQxlRyLPz8m9JixFNBdiF+abVJkectLRv3XWT3xc1FwGsWrmCgoqYmBi8MHUqwsNCcfjwERw5egSpaWn0nlarWgW1atZEo/r1aPktEa02BtISKAkA09xAFkBbec3rYPpEiS5mNHkL8rHll720NFeEy4GhDzZH7dJJklHFIxoikk0BtQG4VmhhbEJVI9giB1tSouWohCj6puTk4nx6NlYfO4PNZy8j2mFD02IJsJnNyCXfxZ870scjHDZEOmyIdTlROjKMLkXDQ+nzJANmJXItwnUaz7iU3yUDaem1sk3HOC1It8YlIbb/0/8ZyrghhfzQ9zT3TNDHaUSbGqJCbVeokUs0ck1OWaBHnjAyJk+ehEqVqwQyR26jiWdh5YoVGDuWAF4/Ro16HFOfn6KJYgtQrQBtDciWf00Gp1rKuB5sk0/16dcfEyZMQNWq1ZTzDowoyMD71kBbpfsFqpZrjShdVEDzF6iVBkgj5dFWvjMf7817GaXLVcDstxZz0bPAMVyUTlPBtvRaBuEy0FYqU0jUcwAbP99AFWsfe3SApN9gwIiR01EsVljjSv1n54VL6blY8PMZ5BR4eZ42z9V2qwCbgO8zX61AYpPO8JtYHjYt5UWANgUIzDnI/IPq+MWGXr2jnY8xZMVTT/Rgm2zfPLAZ3txMuKKL4NRnb8AWGok6AyaiRI0GjD7uIJFtlUaOvBwsf2E0Hu43FA2atWRRbZGvzSnkCuDmEW5i3q9etRwbPlmHic89h0b161KaMItuy6CbrFl0m1CF3TnZeOuDT/D1jr0Y1+MBNKtWjgFtNzmOzQmMsSTGfRHp9jJ6udjmc4FPx2wKDrQJyGFAm9DECeghIm2vb/wBMz/6EiUTiiAmIgyvjB2CxvVq08giAT6khJcqeiYpi+vo4sSGHDlqNGrWqo2Bg4don30JSIhTlJ9X8bqwwY4ETZL+wzYSKcebkZOH9xa+jWJFi6Jrx/Y8Fztf53RhABtEZTw/DwU5mej2zEuYObAzKsZH8Tx+EsEmedkEaLvhoVFtrjROwTahjxMlepFu4KMOmZ1XrmPViXNwmM2oEh6OCmGhKOlyIcxswdZrKZh7kqnZj69YHuVCw3A1Pw9X8/NxIScXp7Kzke/30fSDWjHRqBMXRVMTiJCecJ6r4Jsp2QdQyXWl68QipysQBgUB0xczsjHtw6+wZNJImBwhSlRbVbTnSvZKuTiWmhWYs21BemYmevXug083fK6t4KErVSwzqvRRbLfbg4VvvIY3X3kJZcpXxOvvLEG5IKJnGrtW12f/CMiWncaFU8i1djehjNf7Gynj/yjQJs2bfo1RyIVBItrt/rwB0NbS72RQrQfegjbOIttXk69jwsRJeG/xYiVn+szZc3h8xFD89MMPGDhkGMZNmAxXeLgUodZRxeVotvJaC6AP7tqBMlXvgtXhDKSMayjqWkAtvjOQOi4BZw7ORXRDzt0OoI6LHG2/MXVcKcMli6DRydCMmxdOYtPcybh84hBa9ByCdgNGwUnKVkjAmkzMiviZ2YT8zAy8OXkMJr+5TCeIJgTStCBbAP3C8rU1OYFBIttkm4Ds/xodSt/yKIWcqZAHA9vS6g+1ABBtcI3UMYXX5PX58Pvx4zRKvXfvPhw+fBgHDx2ikbXmTZti7JNjKF02OipSykOVQYZRnrUOWOte08i0ErkWImSyorgQLvMi5cYNLNv4Lbbu/A2taldGv1YNUCTUyetiSzRBMmlKdMFAcK2LaiuRDJUunpZbgFOpGTidlonTqZk4n5lFy+9YwHIND1xPQ3JuHu4rkYhelUoj2uGgXm0X8UDzsnVkLMhyu5Fe4MaNvAKcy8zG+cxsXM7Opc9zfKiTiqvUiItC5dgoOO2EEm0MqDWlQvRCK5ocbolCzsuEFBkwHrZ/qVbw7TbPuYPwXzvNgLZVBtrWPwi01XH+4qXLGDR4CObNm4eKFSvS36FzRWBgL6Cp060fe/bswbPPPENrZv928CCGDx+GqZMnISI8nEeyA0G3+iM6oK1jYhUGts+eO4fJU6Zi2bJlioa5AooDAPKtgLbe8aqll2sE0XTAXDLbNXRx0k4fP4qZz4zG0d/2o/+IJzD0iafhcDq0DCQlJYgDZQG6lXHe6LUU2UZgpJscd+7sGcyfPw9zX30lMHKt0MfZuEJBuN8HS0xxmInh+R9um45cxeZjySyqLYmiuSnY9uLY2vmwRycisVEn6rAVkWyyTRSzFbBtALK1Zp5w8LFtViubOz7EOEPTxgQgMOH67g1whEchedcXSDu1H6VbdEXNrsMRFRWpAdoEfFv9bmxZ/Dp6PzEBIU4HNWZJRJuAbLuVg22u+8IAN+g6Pe0mXnrxBTr+vzB1CopwsTRSDgwybVjkbvPc3JTkFLy+fA0OnzyHMd3aonn18sw5S+ZYsqb6GyKNiANwwXqSlKbJ/KBUm9AAbVHai4lRkYi2TN89cvUmRr69GntPnkOT6pUQXyQabz43CnGk9rMQPFNAtjUoyCZjF7nPQ4ePQOs296Fz1+4qyNGV+xPPNmVYBXHSB2tJkf99GykzOxcPPXg/Pv/0E9hJ/+QgW4ifkXQClpedyyjj+bl45vXFqFehBDo1rE6Bty8/j5WAo+XgOGWcCKDRcnDMdlDE83jZt3OpmXh531GUCQ1BzxIlEGW1qiXghDq9348reXmYffoU9mdmoHN8IgaVKIFQojEiUcdvet34LSMDB9IzcD43B7EOBxrGxaBRQiziSGULGu0WoFoAbQbAmco9z8mmfY5Qxm207wmFe6EHYHY40W32Uiyf/DjCo6MlCrmTsyiEY0cf2Q5khs159TVUqFgRDz7cXsEUqi5VYJqSPop9/OgRPPvESMpUGTLqSYx46hnYHI6AyLXSbtFn/wjINgbW8nwYGNz6uynj/zjQVijk7jwJSfyBny4MaEvAWtQa1IJs/poba+8vX0lzYmiiv9+kdCS314tFC9/BzGlTERYejmcmv4D2XXtQY0dEtQkIFotRNFsA7ZXzXkK7XgNpuavCKOOB4mdETVQX3VZo5Dq6uCR4JlPElQ6mdD45isE2FA+2FMkmUWyx7c7JxK8fvY29mz5CTFJJdHl6NspWr63Syflxmmi1BL4/W/ImkkqWxj33d1Ai2AJ0k2NUA0pLIQ8e1b412CaU3Niw/x4dSt/IPcjOZSrkQSPbf7AZRa5loqf+Wl6/fp3Wrf72m28o/btixQqoV6c2XcqWLkU70IJ3F2HytOkUWEyfMgm9unWh91BDnb1dOrgMtgWQVgTOWIktBVxTCrgb3+89hGWbtiErNxf9WjfGfTUr0kiHUBoXQFuhAAq1WVkAh25ro9p02+fDtYxs7Lx8HUdupOFsejZV8Y2021A2IgxlwskSgmKhIVQsh5Ry+fj0BRQPdeGF2tVQI4YLokjXV6Vt82uv2SdAsh/X8wtwLDUDh2+k43hqBvJ9PlSOiUST4vGok1gETmIE6SPanEKujXKbNd/NQDZ7P7zp/Yi4tyP+641SyA9vpwYTA9lc6OW2gXYgW4m002fO4MXpMynNlUSHibDLbZ2P349du3bh9ddfR1JSEsY+9SSKJiZgwYKFeH7qVPYsTJuKno90p2NacJDNt40A9m3QyEeOGoWhQ4fRigCKYWNA47sV0JaNkGDK4+I9TV3tIIMQETp87/XZWLdiMYqXLospr76JmnUbGKf6KEBbSxsPpjguO1nl13qgTcaQLl264NN1a5mKuEQdN6qnbQ6JgCU8Fv/1RlgzM7b+jjM3synQFjTyggIv3Pl5uHF8HyLL12Mg28PKejGwrUa0FSE0OT+bR7g1TbBf9BFtObJNKeQMDMCXj4ubFyCiTHXAV4CzX74HmzMU1buOROV7HkSY085ythXQbUX6pTP47J05GDJxJooWLUpFKkXONnHiU6E0nrutLsD+3bswe/oLePLJJ3HfvS25MrmudjKPbLLcbbakpFzH3BXrsPfoSXRqXg+PNK+PUIeFsaIo2OaRblqhIogwppQ+pFwqcj1IZJGAH0IJtjGAneH2Ysaar7Fw0/coFheDuOhIPNm3M7o/0IpRd0naIsnFNssgW1KB1oNsrx+DBg3GQ+3b46EOnYJHEQ0ic3xTG8MKsAeYynjMf5Ayrm8ejwcrVqxAj66dWN11D49my5FtDrDJsvn7X/DFj7vw2uDOFGALoO0hADs3n63zWTkvAq4p0BZgmwPtr85exvpTF/Fs1YqIt9qlWuvc+UKfN5X5Ru7JZzeTseTaJYRYLBiUUAyto4tQEWEtXZw9Yzc9HuzJSMOvqanI8HhQOyYK9yYloGxUmFKjXQu+RTTbwtIUKIuCC+8JhXuHk4Lt5d/vR0h4GHrc3xJmJ49qExq51aHWaFeAthTRlgB3Tl4+FeT87PONdB5SsIoI4snpSzKmABMKnfvyTKxasggly5TFrHkLULNufQ11+49CPmO7OLj4mspc0wmCSk5kmd1WMsqFsrF/j8r4vwa0FQo5iV78UaBdKG3cbAy0zYGvhdemR+8+eOvtBYiMjKJeQdGZmNgZcPHCBbz4/CR8/uk61K7XAM9Om4Xqteuy/Gw90KZRbp8SzSavzxw7gk/eX4CR0+dqKOPaXG8JZBuB9YCothy51tfJDlwHA9iik8lGjpyXTSKKv2//HL988CY8BXlo1nM4GnfqR6MVVHlcHGsxK+BZ5HjLudqkLMO186dRtlJVbcRcoqrrQTZj1f4xsC26BfGSl4xhNXT/F5pKISdNHSikVdAW8Bfqo9e6Y9i2H+npafh8w+fY8PnnCA0JQbu2bdDq3nsp/VsbdaZTOo3YXbh4EROmvIg1n36ORvXqYM60yWhQt1YAeFYj2UZUcJXKqezjlD6FHs6B9pmLV/Dx1z/iu72H0bhKOfRr1RAlYiM0UWsGtFn0WlvKha2VCLYuik2YBDsuJOO781dwISMbcU4H6sVFo3JkBEqGuigrQ8VMfkrX/Pz8Zbx9/BTyvT4MLFcaPUoWp0ai/iJrAa8OYMvviYUOWXwcI2r9aZn45ep17Ll2A+F2G+4vWwxNSxalkYcAcC3X5ZQp5HyfLaE4EoZN+s9SxvXNl5UK7+87WH42jWoztVSNUcrXzEDg4FpTTUKM9xbNnLFz9y7Mm/8GFWUpW64catSoAavFAq/XS1klhLWRevMmFcUkqRGkVa1SBSNHjkBS0UQNcL5w4SKemzQZa9etR6MG9fHyzOloUE8WRlMBtlJLW/BGColoG1XPIFHt6TNm4d1F7yljthZgGyuPa6ilOodr4crjWjaUCjNY87jd2LT2Qyx8ZQby83IxcPR49Bw4DA6HXROtVlJ9dK//KtAWdHO2309LfK1Z/RGdgwzVxQV13GyBNSbpf2ZeOHMjG89/cQS5VH3chwK3F6e+/hDWkEgUqdkaXgqwffB6VJBNADc1/Lkgmjaizef9AFtLK5qoAm124Wlkm9LIGWgg4IE+Wu5cZJ7di7CipXF5+4dI3vctYspVR/3eY1Gyas2A6HbqhZPYvGQ+Rr/0FkIcdi6MxqPbFGgLoVWpDJjZhILcbEyfOhkuhx0vPD+ZltOi6uRUmVwqBSYAN08dIkCMCKyt3/o9Vn+1HZGhLjzQqBbuq1cNkUQbg2t+sNQi5uil84oo6eQPRh0nFRFIhNEKr8mCVT/sxQsrNyEnvwC1KpZBicQ4vDp+GI1iKw5DLnimBdWS5gR3IPqIw9BkxqgxT6BFy3vxUPuOAVFEWZuBNJmqe6uooBh6/utpdfpGqpX4crO4g4VHtHleNo1oc5B9+dIlPPrCfKydPJTlZeeRSHY+fHn5nCrOFyWazUvBcfq4u8CL+QeO09SMkeXLwEwJFAR8C6DNRQY5g4QJEavOyBRPAZbcuIzvs9JQ2RmKoXHFUTUsTHmGxCLYIQRIe01+/JaVie9v3MD53Fw0iovFg6WSKNtNRLctNCfbAjOhi/NUBbVeu6jV7oDF5US6x4/RC9fhgxefpPRxAbaJKJpfKiEntAGMyn699c5CxBaJQ5euXXkkW+178raMKwoK3Fj70Sq8NnMa1fkZ8dTT6Dt4OGwkkh6kcg5ttwH95ENuFcmm+wuhjev1DP4pyvi/ArRJ82WkwJd+jb241U8rF6Gw3Gw6HUu0cT3w1kY/Lly+guefn4r3lixRBjJVAVyrOv7jD99j2oSn8fuxI7indVsMHzcBFavV5ECbRZ71wJt8bs+P21C0THnEJCQFRqwDItmBlHEtyOZOAOkzYsCVlce1nUk2tNSOJ/6jQFuiabNa1j6c+elL7F23CBnXLqBS8wdw76PjEBWfoNTQJrlVQpGcUMtl0Cwi2Qr13GTC9Uvn8e36D9D/qYmaiLYo8yXo47IKub4UjL6OrR5sk0Y+Q0D2f50OZaRCnu/2BIw6t5w0+ZYGTCvXQ823JiySs2fO4seffsSXX3xJr+vDDz6A9g8/hLBQ4snTU7/l1zLV249tP/6MJydNw+Fjv+OBVvdgyrhRqFO9iuY4EUFiFHCtqJkCpvlxMrg+fekKvvhxN6WGJ0SFo1vzumhetSzMnGJOjSIlp45vi9dSRFsDsLmqbHZeAbafu4KtZy4jq8CNenExaJ4QhxIhTmagyKVwOBIhz+FXl69h8ZmzuERo4glxGFm2LIpwtUyjG6KW9NCDbNWjHQC2BWVT2keOScnLx1fnLmP7xWTUTojBI1XL0rrcxhFuKZJNJmeHE/FDn4M98b+lMn6r5r1yEv6Us8xItRUCtAOELfUMJgnAkibo2fDj9OnTNCWCjKEEONhsNkRHRyM2JgZxcXGIjormZyOHhSR/Oh8/t2/fjrHPTMDhI0dx/31t8PxzT6P2XTVUOrl8vASwNYBbB7KNotpduj+C999fitCwcE0EWjHAjWpi68Z8358B2qLuMnUIevHVp2uwZP4ruHjuDNp26IpRE6ciPiFJE8EWwDiYxsZfAdpK7rYCtIHJkyaixyOPoEb1qoWW9rJGJdByOP9Lbf2By1j26zmam33tyC5c/vUrlOs6jlc5FEBbBdkioq0IoMmVE3gegN7ME6UCAyoYSI47FWwzcCAAd17KKVza+h7KPjQMJk8uTnz6BrKunEZSzbtR/5HhKFmphqJITtg5pNxXVsplfPLmLPQb+zyKlyjJo9siZ9tM03Jo7jZPWbPROsrAt5u/xKKFCzDl+cloWK8uzGAlnsyU+SSAtlApZ+CbLBR0ez24ei0FX/zwK7b8sofOt/fUqoIHG9VEWaIurUS41eg2BdkcbEsXizoBfTBj9U/7MPvjr3D6SgoaVatAx+Spw/ugZeP6zEHIKeJ0/OKLlqors3MYACfq4ouXvo+rV69h3LMTpIo1xswV0tTUDm7RGRkN/NkjjTx3SdH/vUost2qe3Gz4slN5RJsLnxFWLCnZlZ8Ld3Ymuj49EzMe7YRK8VHw5edSgM3o4lwAjYBrWtaLR7PzBcj2IjsnH1N3HUTd6Gi0T0qEt8AHL83Z1gFtHtmmyv5SGV3SBNQ7mJeNxWmXcd6Tj3qucPSNTkRFV6gEsnmkm7wWVHGrCT6LCXtIEOTqNUTZbehboRRKR4bDYrcwsG23wKqo29soyBYLAdlWlxNmlwvdXnofH77wBJzhkTA5XRRsw+bkQNvONAL0FHKyNjGF+wfbd6BK40QckWEiEdwL7I8erxefrlmNN159iQqYPdS5G8Y//yLiE4sGAF7S/gzK1ADtPwGyRfRbnz5F5pDaxaIQ5vjnAhH/ONAmzXv9PPy5GbcJtIOAbLpLWz87wOhSaIUq4H5xxizc06IlmjRtqgHaMsBW1j6gwOPBps8+wZtzZuHs6ZO4574H0HPQcFSv14hGmd266PZvv/4MR2gYSlWqFkAZ19Ta/gN0cWPVcSO6uDHAFtv6S0smVJ87D+d3fIXDm1Yg/fI5lK7fAo16jEBC2cp00pNF0TQlvxTauDZaTfdLedhvTRyNzgNHoFzlapr8bL0omj7KfVuRbd4tikW6EP4P5Fn8HS0nr4AOWrfbZCq4/jXxKO7btxc///wzpb/m5eahTJkyaNSoAdrd1wZRkZEcTLOItRzBDlpmSwLeBNiu+fxLvPj6W/j99Dm0b9MCTzzWG83qkwi3XwusBdhWVMPFPi/cBfn4+bdj2LJjP/b/fhYl42PwQIPqaFmjPM3lY4aSyKUTIJuBaToB6iPZAmRzarjH7cFP567i09/PU3DdLKEIWibGI8pmDaB/yUue24OtySn44NIl6mVuGh2DgcVLoHxoqGFkSBipSp6jEq1WjVfNflnYTF8CRKNIKo4DdiWn4uPj56gHdlidyigVFW4c4eZKpfG9RyKkRn38Lzbv+YNAdqqkyivUUeUaoCrI1o75KrtJnR/0gPs2ml5DhO5j/8klvLxeD9au/xTTX5qDEydP4eEH2mLM8KFo2qhB4REjcX4B+iKBUe2ly1fA5XKh+yM9VGCso4/r867JnOL/U7W0tdGy3LwcbPl0HVa++wbOnTqJ5vfdj8FPPouKVasbOD/l11J0W//+XwHaOu0OIoiWkpyMQQMHGCqME4aNNSwKZkcI/hfbrC3HsHnPCXh9JnhhhclsY9FsAbA11HFt7WymPM4Xqc9qmlLxQAXYeqBNAYFQTpaj21Yz/AVZ8ObchM3lQmhCMaQd/h5nNr+P7GvnUaLuPajXoR/K1WKCaUShnADutEtn8PnCVzDshdcQGR5OtSlYdJsBbiGUZpei2+R1VkYaXpw8EdFRUZjy/CSEEoVvr7buNgXbRDSN7KevWV63Iqbp9SA3Jwfbdx/A59t/xZlLV9G8ZmV0aVYXZRNj1bQl3n/kiHZeQQFW/7gfc9d/g98vXkX9KuXo+PPIffdgeM8OsIeEMgchBS6CIi7nvuryYXVR7V937cZrr71On3dRpjBAgCpAAE2rueMvNI3MhIQIJ8Ic/5s2koeUCOZgm4qfcQE0X14OJr2xFFWLx6N7k7vgz8ulQFtQxT15+RK41q4JyE7OyMHEHb+hT5mSqBcVRYE1BdkS0PbqwTbRROBBOVnrQjRyz34tyMDanOu47C1AQ0c4OkYUQQ0np4cLwG3lziurdjmbl4MPLl6iNbufvKsSQl0EYBOgzUE2j2bTJcTJFqKZ5HJh7hc/o1bl8mjdpD5MJKJNFjsH2gqFnOdsE4DN51jSR3/6ZQe2fvMNJk2eYujkEX9zTnYOPl23BovemofTJ0+gVbsHMXr8BFSqViMA7MpifaT9Vaj5h0F2kBzuqgnhiPuHU0z/FaBNJgBv8mnmmQr280bRbNlI0UcDDKPZ2trZpIZxx85d8fnGTYq4hNyJFJqEQvdWlcfz3W5sXL8Gi998DWdPnkCFajXQud9gNH+gA8w2Bx0ciZDF1CE98dSriyjYViLWHDBram1LUWotyGYTqEwXlyPcevqGEtnWgWqjbbnlpSbj5LfrcGrbJ8jPzkCJ2s1Qt+sQJJSvpqGHK7lTJFomAW05H1uOYuvX6dev0nJg1WrXVwTR5LxuFXQH5mmrUZLgke0ioXbEhf+3RW5uWfKLTAg6VVg9P1xLBfcr+65cuYIvvvgCX3+9lUaf6teth8aNGqJevboIcZF6sf7AOr+0vJjIrxZ500FUwyVKpjjO4y7Ah599iZffeR/HTp9DraoV8XjvznikXQtaZ1WmgwtDJzs7G1/9sheffr8L6ZnZaFy1LFrVroJaZZJoSQ0lcq0TrFGBtr4GKnvtVUq1+HAxNRPrj5+l9OsGcTF4sFgi4ogiLPFEE0ETQf3SAe1reXn49NpVfJ6SjEyPB40jo9AvsRj1RhvVoNUMTRpQLYNp3T7uydbSx42BuLYGJ6OJk9IiCw/8jhiXE6PrV0EkqU2uUMhZblf0fZ0R3bYL/lcbccT4zv/Gci6pEWBgpHLKuBZoq1Fg1QOlB9y3cwLsP5n2Le9X6OESRdzjceOjtesw5/U3cPzESdSqUR0jhwxE947t4XSSyVyi3kjnQ6PXEqg2imqnpadj5KgxWLFypQZoyyBZH+3Si53dCmir7Ci2vnrlEtYuX4JPPliGjLRUNG3VFoOeeBpVatRSLoceRMv7jEs03hpoG4NuLXCX87RTUpIx8bkJWPzuuyxPW6cLYXGEwBpCROv+N1tugQd1H+iBiLt7w+yM4HnZfoU6LiLbFGQrauOCNi4BbT6+07VwCtIVB9bSMxMIts0UXCsROYlGLgD3tZ8+ouW/KnZ8HA6HFdcPfItTW1Yi88pZFClTGXUf6o2arR5EWGiIUurL5MnDwmeH4YHeg9CoZWsKsPV0cpG/TaPb1OEPfP/t13hr3usYPHgwOj70IKu7TcTSyP2nwFsC2lxATVSv0GiBkDmsIB8/7D6ANVt/wNnLV9GkekV0vLsOKpcsyp5/nw8XU27i3Y3bsOSL73EzMxtVSxeHy+lAh5aNMbJXJ4RHRPCotRTBViLWRiUIJZDNbdLU9Ez06NETKz74EOEklVHHrJTF0OQ0ENKUUUoX0JZT6sgSHWpHbOj/so3kg/fqaSA3nYuf5ZKoAr756Vd8vOUHvDWiO6WL+/Jy4SW0cUIZN6KL08g2E0C7lJZFQfb4qhVR2uligFoDtBnIJvaF6tSS2Kd6m1s6XzJGkT07CjLwee4NCrjLWJ14MDwWzcOiqXCqeI4sVgG8Ofi2Esq4Gbsz0rHqwkW8WK8GEiNDOMjmQDtEC7RtIQxoH0lOx6rte/HS6AEwk0g6iWhT5XFWV5uWluORbYU+TuZZkrYw+gmMeuJJlClblrNotVHsSxcv4f0li/Dh8qVIS01FyzbtMHLcM6h2V+0Amrbi4JWi0KIZBfyMmn63FlT/eaBdIsqFMjH/TF72vw60SSNlGLzXTnE6qZwPo7/EKrDWqozLtHHTrXOzTWbqMSTrfv0HSKJkKpiW899kkC2vCZj+efs2rF76DnZs+xphEZFo2vZhtHi4C1zhkTi8dydadekTNCfbKHJttC+gzJekZi4Ux7W0wOAAW3RET14OLu3djvO/bEbykV2wOFwo1/xhVL7vEUQXLakF0Jwezrbl3Gwd0Jbes+iE0cT68qnjOHVoH9p27a3mZCugW87z1tLJNdFsA7Ad4bD+T+UcBWvEQCJgO1jT51tfv56CTz/9BF9+uZl6+R968EG0aX0vwsNILUAVFWrAtbItR7BlengwQTO1DJcA3cJY8Xnc+ObnXXhj5Tp8+cNORIWHoUuru9G7XXM0rl6BAuBvdx/AB1/9gPSsbLStVx3tG92FhMhQDX2cCZZJtHB9CRYjwTMuYJKbX4CvT13CptMXEWqxoH3JJNSJjmKRawrU/ZI3mgmaEHCd4/bg+9Sb+PrmdezNyoDTbEbbqCJoHx2HYmRS4qO04cSgGKY6mrgRLVxQxQLqaN46yi1oZnINzt3JN/D2/t8xvE5lNC6RwCZpsxmhtRoi4dEn/uefBaIk67t8hHVX2WjVCJ4ZlHKUQXYwwF1IY88KPYMgSY9SVFCJeqv52IRN8c327/HmwsXY/PW3lD3Suf0D6N2tM5o0bEDvkRxhVx0EhUW1zejYuQvWrltHc42DAW0BnlWgrQLvwoC2iDpkZ2Ximy83YtP6Ndj54zYqFPpw997oPmAwSpQua3CtjEG2Ml7/SaCtRrK1edkqyNa+16F9e2z4ZD2/d+oYZrbYYA2N+J9/Fs5dS8XI1YdwPSNfpYtrqONCaVwF1ko0m4/fZK1QoXWAWqGOs706Cjl34Clgm6y5GjkdczgosJqRcWIHHOERiK1QC3aHFQ6rCRmn9uH0tx/j8oGf4AgNR6WmbVG7TQdUqFkPIXYbBUvfrHoHTR/oiBIlSyMsLJQJpXGxNBlwi8g2sTM8+Xl45835+G3fXkyZ8jyqVa5Iy4MxsM2BNgfcLMotVbJQSkoKQU62n4Dun/Yewmff/YxjZy8g+UYabmRk4VLyDVgsFiTFRaNauVJ4tENbtGveEK6QUAlcq3RwLZgWAR4pzUVyHJLnnwjx9hswACMfH4XadetLdqdqgyolW4WNB+PhSQ+0Bdgm9NiiEa7/+WeB4oVzvwG5GZQyfvXyZfSbMhdrJg9BCHwsLzuXgGwigEZo44wuTkG2JprtwZW0LDz3y2+YWKMyEonoGQXVIoJNgDYD3B7OIKFrDXNVG5yTc39Jk8c5Mjb97s3F1vybOFCQjVCTGY1dkWgZGo3qrlCaNqFGtMkzRejiRHTPjEuefMw5cZKC7eKx4Qxou2w8iu2gAJtuh5LXLsAZgs6zFuPzORNgcoUy6rid5WmzXG0HB9pCiZwBbfJ3kHlm/acbNGLNGZlZ2PT5Bqz7eDV+2P4dQkJC0bVXH/QZOBglypRT4za6+UTgDrGttiD2lCYhUt6vbcr0+yeBdkyInUaz/41n4V8D2qT583N4fW3JiJHpfqIpBojWIFFBtim40jj3HJIHhIhMfPLpp7DaHZqBTB7cNEBbk1vNjiVUcbeP1LX04+zpU/hq/Uf4ZsNaJF++iOgi8WjSrj1qNW2F8rXqw0weYg1oD4xeBwPZAfnauhJedPsWEWyynZdxE1cO7sDV337ClQM/wluQhyIVa6Nko7Yo1agNnKHh2rJeBgrkAQBcX2tbAtqCBm6VFcbhw0ujBmDk1JeRULSYljIehEJO9rNbbzI0yEhdTlJknnz2/0Ij0WgCGo3+GvL3kvv5/fbtWLbsfbjdbnTp3Bnt7rsPISEuEQ6UaOESWFCi1zyyLV4HrXstR4Y4uJYo4RpauKQWfuLsBazY9C0+3Lwd566mICLURYVoWtWpinHd2qJsfAxXGdeKn9EophKpDqSEB4tkH7x6HeuOncWFjBzcUzQO9yXGI5Tku2lyqqTcKq8Pqfn52JmWjh2ZadiRmU5rXVZ3hqJleDTuCY1CCBkrFIq4DLT9ulxGDjLk1wHRar5PUSAtjC4ejEIuq5eK3zAj1+fFK3uOUjrm2IY1EFmmHIqPnU7LfPxfaP68LCaaSY1TlpetlmfUpQfpadikGQHuQsG2DK4NaLbQ71cBtnYf2z5x6jRWrl6DD9d+inMXLqJUieJo/0Bb3N+mFZo2bggHuU9KVDtwTpOj2lNemIb2HTqiVu06hgrjam72rWtpy69vXL+OH7/7Gt9/vQXbtm5GXm4O6jRsgvs7dUObhzshLDwi6NUKBrLFVf4rQDsYfdyIWv7M009j4KMDUKViBWXsIt9lC4v6nwcWoh24kIYRy3Yhj0TZqOHPxjIVaPP8bDqWMicoBdcBYJtkYarPirwtmhLppqkwZMwhQowWbWRbcQKaqSOerjkl9sy6GSjZqg9iylRmtHCHBe4bl3Bhx5c489MXyEy5gsj4JFRt2gbVmrRE5doNEOJyYunzo1GhRi106DsYIU47q72tRLhVsC0E04itcOXiBcyZNZ2Kek6c+ByKxscpVHICrJUIN8nfF0A7oPwbm8eIWjlRrf5y+y/YuH0HdXrXr1YRne5tgl4PtETRuFiW528hgmg2FVxbpGi1LMyoqYagivDKTkOfyYTXXp8Lp9OFQUOHBQR89GBbAxrIfQqSli3uI7mNxGFBtGv+KcGnv7v5c9LhPfErPNkZ6DZ+Fqb2fRhVisYwHEHo4hRos1JeTGVcjWgTtXFPvhfJ6dl45uf9eLZaJepQJ4Ba5GIrkWxOHScA202BNhc9JgwmHiwTYFvRxZDOUxkDQexYpl9EhFZv+ArwizsDP+dn4LrPjTizDY1c4WjgikSN0DA6n1OFcQ60rU4rrvgKMP/kacxrVheOEAK07TyK7aAAW4BtS4gLFlco+s//AG+OHYSY+Hga1WZA28kj2wRgM3E0VRjNit379tO62c9PfQHJySm0Gs2Wrzbjq81f0nSLhk3uRocu3fFgpy4IDYsIYFLJAFcG2YpjSGoCFJMm5oXCnLhGTQO0lWeicKDtsplRKymKVc35F9q/CrRJ82XdhC/1sm6vzmAKoIxL3v+AHD0jpXEzzae7dPkKHh81SqmdbSSCFjyizSLKBGB7ONgWImhujxebPlqGr9auQsbNG7iZfBXOkFBUqX83KtRqgDI1aqN4xWpULEMPoD16yrhRhNsIZAehi+dlpOL6yYN0ST66C6lnj9LeFlW6CpJqN0fxhm0RWqSoGjk2ANkBNbUNwTabaAW1XP6sNsLNlqtnTiIr9QbuatD4tinkshEn08gJwC9fJIwKqvxfam4PUcB0q5jA76eqyB+sWoUvv/wSTe5uggH9+qF4sSQNfZUCQTnvmn/WEGDLwmcyoNZRL+lCjRU1t1qA4wBqOI0KFGDLr/vw/sbvaE4bEV3ZffwsLt9IQ5jTgRY1yqNJ5dKoX644apZIoOI3rIyXEC5joJp5lnkUW9DD+To9Ow+f/34O35y7grLhoehYqhjKuDjtSwesCU08NS8fBzMycTgrE/uyMvB7Xg69XOUdLjRyRaJ5aBTiyWSjXCbVZSpvk6YMPQpoUMGDKt5nDJrlUh9KlDoYnTxIRFv7OVZn87uLV/HFhWSs++EXOOJur3zV/0qj80LaVQPjNZAqHpBORJouUmdIRpO5l3TlD/6eDK4DjjXaJt3bi5937cFH6z7DF1u+xqUrV6kIYcvmTSngbtSgHmrVvAsOog5rMp7Xvtj8Fc6dv4AhQ4cpUS0N0DYouWIEtG9cv4G9u3di/+6d+OWH7Ti0fy89vlrN2ri33YNo17EbihYvyf+64OW97hTQVre19PBgQFs+XrzesnkzTp44gVEjhzOgDT/sIUTD4H9L8OlW7dM9F/HC+oPasl5knCMgmyuPKyA7GNAmAFMdsLQUctq0DkSm/UAEF2WgzQWc+Gta/ouPRQRsw52Fc5+/hnIPj0Bk0ZKw2y1wkMVmofWz007/hnO/fIUzu79H1o1rsLtCUKFOE1SoVR8F2RmoWrcRajdqilCXQ1EnF4Dbpotsi1JgB/ftxasvzULdOnXw+MgRiAwLoUJ4REiTrEVEm60Z2L5x4zp27N6HHXv249uffsXu347QZ6Fu9cro2Kopetx/L0olxUvMSaZ/oVLDueNPAGwlsBP4Wk1fVIE4WZO87AULFmDhosWa8rGM/agyLTVaDDoQYdTEU0iuT+lYFjH9v9R8KecwY+IziA1xYECr+jwvm9PFc4UIGhFAI9RxbSQ7MysPY77fg7FVyqOUwyUJnxHauKCLE1uGgGsv3ARge1lQzS2ANqeNK/hAJ7Ylmgq0ud1M7FbiBKSCv36c8ebhV3cG9hVk4abPA6fJjJrOMNQICUPV0DBUDgtDSAgp5WXFp9evwemwoluV0rC57LCFMto4BdkcbFOgHRKKd7/dhdIlkvBQy7thcoYx5XFaT5tRyCnIlkp+paRm4Olnn6X97OSpU9i7Zw/9W4hjt92DD6F9l+5IKlEyQAFfBtJyRFkf0SbNL2YVyaQyilzr5xT1fe3cbVzaLjjQJte/VlIkK5v6L7V/HWiT5k29DH/WTWnP7eVlF0oZp8cx44wA64c7dMTqjz+GMyREC7SViLYUzTbI0Ra0b7qQB0+nOj73uTHoMuwpxCQWw9njR7H3x2/w28/bcebwfhTk58Fqs6NYhapIKF0ecSXLoUiJsoguVgoh0XGwOkJ04JtRVbQRbRVk0+hnVgayblyltSozrpxDxpWzSDv/O7KuXaBX0BEZiyIVaiGhRmPEV28MZ0SM5ppToC3Xt+YRbAXoGkSwxTHyfoVSTqnmnEYuAWY2yLA1Kfd19shvaPlwl9umkGtpOMz4Klsk7B9VDPwnW0FBAb2/p0+fogIppOxQ79698ND998NKFEMFcKag2iB3VE9r1US0DaLYiodfVQ1XcraFkBnPcVPqXpP9UjmupZ9/g51HTqJ13Wro07oh4sJDqJqrz1OAQ6cvYfOeI/h6/3HsOX2R5h7arRbUKB6PyomxKB8fjXKxUSgTHY54pxMuUrKViJ4VqCD7eHIqVh0+hatZuXigRFHcEx8HK3kW3CTXzovU3HxczcnF2awcnMvJxfncHJzMzcGlAkbHj7ZYUc0RijrOcNR2hCHCZFUHZp0gVLBQgRiOZCqrLNin5I/qotsBYFnKdbwV2A4A6PJnyffZbYge/jQS6zbC/8XmTbsKX06G1qDV0K3VdeGR7SAtYOoLpI8bAuuAz+tp5UY/5ceho8ex+ZvvsOXb7di1bz9yc/Ngt9tpXneVKpVQuVIlVKpYARXKV0Bi0aI0Leni5SuYNfslvPHGm4quiAyo5Wg1EVW8efMmLl68hJO/H8PJE7/j1IkTOHLoN8q+Iq1IfALqNWqCZq3aoEmL1ogtEq8B5dKVCAq47zjQ1jxTwYG2HAEnnyVlxvr27Yt1H39ET97uDKFlmP4vttkbDmPVD2eUvGwa0aa1fYkIpASy6eLTgm2+zSjhisdQhWUGTimThj4uSgxKoJvkmerUyGlk20xo3G7cOPAVSrXsDofdSgG3nauPE9BNQHTmpVO4uP9HnN37Ey7/fpDWCSc2kiMkFCUrVEa95q1RpnwFlClbHolJRREVEaEok9MKKDzCTW0Lkx/fbf0KC99+C/ff3w6DHn0UTrsNaWk3cOn8eRw7fhy/Hz9ONRQOHDqMk6fP0r82Mb4ImjWoh3Yt70bbZo2REBul0SvRBHbIGETANgXTgXanJo1FL8Yrg2yTGZnZOejevTuWrVyFyKhoYzFevSBaYTna6t1TnpNSMaFUiO7/Yls8+3n0rBYPPyn/RXKzKdDmUWyqNO5WI9o8J9uT58YzP+xDpxJJqBkeoeRi6/OySRTbw9cFBGQrLFa2yLRxea1YXeKmiPEKDGALsE2dRSQYJSr1EJ0dfwEOerJxoCALJ925KPD76THlXSEoExKCUuGh2Ho9BbMa1kSpIpGIjAqledo2DrLJ2hIaQoH2was38emvhzF9ZD9KHydA22d14GZOPi4kp+Lo6XM4fuo8jp86jQOHjlBwTVp8fDzubtoMrdrchxatW6NIkQT17wsizidXvBB/uwZ8S9cFilkV2GsV33iQuUXfjEA2XRsAbfJftcQIRLr+XSHA/wTQpoYDUSLPywpCF5cnB6NothFlXAXd6z/bgPMXLmLU6DGaDlOYF1EImAkxMxZlJh4t9vDJoJvsI17SsKgYjQI5Ob7AXYDzvx/Fyd/24OzhA7h67hSSz5+mdSJFszldCIuJgysiGha7ExabAxabnU5sRHiK5BB53Plw5+YgN/0GXWgkkTdnZBGEFy2FiGJlEVO2BqLLVYcrhkS4ghuaSnktCQgzoM0FyQhQ1lPIdTW3aYkvmUYuAW85Wi2OJyDu5dGPYtjkWTR6cisVcpk2yLqECaWiXYgN/WcVA//JRoyn119/Dbt378a4p55CtWrVpNrWUnRaAdTKqKbUvg6gwQaU7jLOw6YlccQ+nsOmlEBRXhMA7Mbmn/dg+RfbaH3TR9vejcZVyio0cyZsxutdi/qkXi/y8wtw6NxV/HrqIvaevYIT127iZHIqskkUn7cQmxVxIU5EO+zIdXuQkpuHEIsFJUNDYDeZkU++x+tFjtuLmwUFuOF20+dTtBiLDSXsDpS0OVHZ5kIFqwuxsBqXQGIcAI2AlFFTwYPq7BEqyAHbSlSbAwKqBm4Emm9NKQ88TlYtNaPY4DGIvqcN/q82ck+8qVeY+I0wXBEkch1AI6c7C/t2CVQH7g9GCw84PgBgFzadqhEykv5x8Mgx/LJrD3bt3Y/fT57C8RMnkJWlzguhoaFITEzEjRs3ULNmLThdTjgdTlisVuTn5yMvLw95+XnIysyiCtzJydfg8ZBygazFJySibIWKqFC5CmrXbYCadevT6AQ5D60gWiDQFn+JkXlwp4C2eD+QTm4AtFWTQCnzRRbihFzw5puIjYujQO3/aiM2xailu/DtwSuq0jgF2WxspSk4UlqPUVRbA7TlZrRfBtp0bWF1pCXQrUS16ZoJO5G11WbGjX2bkH3xCCp1Hw9naChsNLJN8q+1gJtEmWwmH9IvnsSVYwdw8eh+nNi7gwYSSIBCNBIgKRKXgOjYIlSJ30kWhwM2m5WyqQry85Gfn4eLF87j6tWrtO47mUtFS0xMQKUK5VGtciU0qlcbDevWQqliSbTvCRp5QKUNjVihxKjRO/k0+3UBIB3IJrZi/wGPYujQ4WjUpEkARVwb9Cm8vJe+iWcqKdKF6JD/u88C6ecFv34Oz9kjHFizKDYF1jw3W4lo82j2ewd+h9VnQvcSxeDNV5XFGcjW08UJS9WHAiJwTAC2Xwu0PcGAtkzt502xZ4mdL5T0eXTbqgPfZE38Mpd8BTjhycVJbx4uevJxPi8XuVJfDrFaEBfqQmyYi9aZp+kWTgdsdhs93x3Hz6Fq2RLIyi1Acmo6rt64SSP0ohVNiEfFihVQrWpVNGjYGEvefx8bNn5B0xlkETSlQpKkZRXQJyW2hb7MMJtKA3PYjZpmnjCYYzRNootrdhsA7XKxoUj4D4gl/yeANmlkIvBdvwB/Pjc0DCmBptujjCu0cZab/XCHTlj98Rq4QkMDCrAHy4nR08o9QRcfNqxagpKVqqH8XfU09bRZJ5Ui4l4eBff6KL085cIZpN9IRuaNFGTevI7stJu09JE7P5+Ca1JCxmK10/wgshAQ7oyMhSMilkasCcAOK1oSNle41oMU1HukNhExpuBWAFwlGq3LtRYlu/RgWyn1pdbWNqKNy0A+5eI5XDx5DE1a36/L6w6kkAsDSxheJaNciP8PPDR/dyMRba+7gBpRKt1byr/WAW+FOq7bJ0e4NfWx9aBaodipuWtMLZyV2ZJLdBGV8fFvLEPTGhUx4L4mKBLuUoA4+4wkbCZqlCqlt3gZLpqHzRYSsb6cmoHTKWm4lp6NqxnZ2HkpGYdvpCHGbkeckyj6++gzQ4C2DWxScsJMI9VRZiuizWxd1GyHi2jRCoV+ISKoKParCq56gRmjyUDjab1NoC3YGaI0Dov6qGsNDdwAbGtE0xQhNe2x5Jhig0aiSNuH8X+9UcXZ1KtUJE2JaNOmB9vSvKC0W7jEJbd40Mh1EFq4uk86lk2owf+WINF4MXeR+Y7Qy0+ePoMr15JxLTkF15KT8fGatWjcuDFyCbDOy6MgneR5O5xOOBwOKl4WF59Ao9XxCWQpitLlyyM8IkorfiYZIvI+PfVRmzWhY3iIiKd4+UeAtkz91lDF9elBwZXHZecreb1i2TI0bdoU1apXx//1RoRYhy3cgR8OX+O0cQG0PRqgTaPXmoi2PyBHW26y8ri6U5T8EkBbztnmkW0a1WbRbaFELmjkBGznXz+L0Phi8OdnIDyxBI1qk3QvGwfZFGzbzLR0Ia23TcqAcfBN8rKXPj8KJctVooJ8makpyLhxHZlpN+DJz0dBQR4DU143nE7mgHK5nDRnOy4+HlcvX8JvB/bj3pb3YtSokSiWmMBy+IlYHp9DZUeztjwcn2N1z6h2fJGupZzGUohNSp7/56dMRfkKFdGzd2+1VrFkb2oDQFrRW5WWy84g4LGkINv5fzoQIRrp8znffoSCs0clkK2Cbdo36LYHP52/hs9PX8TkapUYCy5fimTztYdvuylVnESz/SrQFouflfMV94cAbpJrfcyXhWQUUEAuNytMKGcKQXlTCJxm4lBiUWwa0RaA22yCnYNssggRQJvVBLvTCpvTCqvTghsWH547ehT9K5dBmt+HVI8HaW4PSIgin4g0E3wBE1XF33/mEu6pXQ1h4WFITIhDYkICihZNQtFiSahYsRIiY+OYArmVBDN8GPDYICxfuQpev5TCwPskVVfXKJBrtay0qQ1agWYVh6DQ0l7CrroV4Kbva5K5Ainp6ms/SseEomjEfwMv/Ge4JWQwN8eWgPf6BcCdc2uQrUQ2jCjjQmnWhJUffICH27dHiASyZU+MbGRrjBFpn9rB5PfFP2D39m/QomNPBezqhWnkElziHMJjExASHa/L1Q6kjIua22rpMW2JL4abAukat2r0eJNsbNEC5ewd4czlDgkl9EdvlHzP2EufiT2UJvJAivf4583868g2WeKLl4LTFYKt6z/EfV16UQOXfodfPE5EeIqeHN0mRhX5e0tFhfx/AbJJI0qnZrMTBbk5LEKhj2IrxoCkLB4UYMvHy5Fsr3ZbysFWRMsoyCZRaUa/mvvhZ/j10O94+4l+KBYdzoA0oWfTY7nBx2tZU7Dtll/Ludja7TizBRFR4dh4LRXfn7uMFkXjMatODdjIqQmKl0dVBmXbsgIvf17cfuT5vIqmgWClaCYGABleL5J9BUjxuelEme7zINPvUfoudF3dZTIjwWxHotmOYlYH4k02te67AN4UZAsPNmAhfd/kh8Vvgt/PxySfCWZaUoyDZrHtUyPW9J6QbfI8+BnIps8Ge2Bh8puR1H/Q/xcgW8wLluhEeFOvwU/qqJLrwAYIdZv0bUGFVbZ5U6h8/D2xU6GF68ByANAO/l5hoNrwb9GPzWKcYzeXGhxEf6F48eIaAz0vPx8jRoxE6bJM6fV2SnyJ/bc+Kf7z/PoEXFJa7SPgI3+p8V8p5HvI38eMLXok+dt0PhP2DUCv3r0RHv6/W8brjzSScvPW4IZ47I0f8cuxZE1eNgXZPLIdoDiulPdiNhEZV+TGptrAu0H6oIlM6sS+8psVoErBqp+o4JMESItyX8g9kx8Je2xp5Gen4exnr6N4s26Iq94IHq8ZNsICtJHoLtG8YcEQJUBhY6+9Ngt6TXwF36xYAJ/VjjY9B7Fcb1H6yywpkxNgL/JgpcABmc82ffYJhgwdjmbNmuKxgQMRV4Sl0GnTp4TTmVfAEelWuhRGbUqKul24qKFqn36+cSMys7IoyFZsSd2YIFNtZWPU2Amm/RwBFf8/gGzSTBYrQlp2h2fjUrhPHwsipurF9axcvHf4JF6pcxd8bj+NXuvrY4uSeZQ2Tvukli4ug2wR3T7hzcF+XyYcMKMSQlEF4TQQIN+XPL8XZ/25+MJ/HTafCQ3MkUjwO+Ax+WHzm+AhAJuM1SRdTjKxmTVuhtnjo4vFY0aCw457ihRBEZsD7csUhT3MAVsYo43bQl2w0iUU1tAQTFm9FT3ua4a7qldhtbQdIQBZbKSmNqmowuxGcq43U1MRExMT0PeEya84YpVFBCYCwba2tKQu1OcPHvZT0Bof8Ml385GKr/l8y59F+YkJ9jyUig75z4Ds/xTQJo0YmpYiJeC9QcB2XuEgW4oOaCiDEujOzsnBRx+txqeffSZ1FB2olspfKR3JH6yDMRCtfIZ4fNweNLi3Hax2O30A5Vwa1vl0IFsx/I0WLagX5byMQLb4XtU5oI1aGHc/NerAQDbrwqLeHQPY3Igl86sUoSCIQrCpxEWhczDxRvkYOBagnEzk5ByJgUTX5GOiwojZj/CYItj30zaUrlgVlWrUYr/BH1CqUS5K5nD/FXloEv9DD80/0ch1JWIx7pxMDrZ9gRRx6bU6QhoAbNmDr/HiSyCbRLJ5dESJYNOItBsXLl/FqFfeQ/u7a+PDScOYGJq7gFPDyXGs5jWjjEsgmiwkf1APsqUyXQX5Hmw8fhbrj5/DvUnxmNugFgXYhN7llnOoyKQoynBwoE1BNslXFCKCfuMcKgKmj7qzcdqbi0y/FyGwINZsQ4zJhpJwIsJiRbjJoijdy/eAXL88+JDiJ8C8AEfzc3DD50aYyYKKVhdqWsMRQSI6AmjDT7+HOJ/ImtqiBFCTKBx53giopreBR6oVAM3o5gJMUz0n8fxQpxX5kAnF+w5EQoeu+P+pUbAdlQB/+jUa2daAbXYEWxEDQt4tpmwFZBvlXQfmZQeMmxLAVsF1IZaD5uS1LyjY1pw6R5G645k5wc6pevXqOHToEK1xSv4ezZ94h5vRd/9ZYC3A8O2/YXwYu4vsronzI2ur1YoQUtbm/6PmsluxaGRT9Ht9G3b/fk0rguYLArT5vECfBe7007SgFjCbkSng9hM0QGjQPpjNPvjMxCHIDWDupPdbCCDnv8UXiyMSZbtNRsquDQgrU5PmU9vDQuH1cYDtJRo6cnDBoozdDqsVrR8dQ6Pf77/6IuISk/Bg74Fw2W3wWMjYblbEqEg00EsWMt76/Zyaa8FDnbuifeeu+O7rLRgx8nGaijF8+HBUq1pZmQ+J4BuN+JsFZVzMo9pcdu21MWLW8Ki3HAXnZWn37N2L9957Dx989LE2mKMDMPL9kN+Xb5NRlJDYR3Fh/3+AbNGIuHDEAwNwc81bcJ86rlQnYTYC03mZtesQRlUuDzuxKbjtYLRQZz1nnGrANV9EZJvM/Vu9NxAHO1qaYmEnDDp+P4ntoQ5tfthgRgWT2JihAABI1ElEQVSE0SUdbuz2ZdA+3sgciUS/g4r5MRufOeOpc5EmxhAzm4BsMyzEzrH46Lp1XBxWX7hMy3qyUqX6hT3/dcoVx+5jp3BX1Urc1mPzlsTd41fQj/S0dERHRwcAYoaTRABPwhZSAFELtrVK4woOuQ1ntF8C1DLgll2yyrxODSb957VjGKmVTdIn/kvtPwW0FbBNIts3L8Evg20jkC0vcu4eX+a+8SaGDR8Oi40pC2tqjFJ44i8koq3mGxiBYHHs8d/2onHbhzX79FFxQQ/Sd0hF3ExHdVUXni4rgWyNc0CibYi/qzAvj2JgEsFn2drzkTCcFmwrdWVlHCfoHHwhHyPnpaEK8vw/Eh0kr+maDij8p/2MGv7YczOxZ9sWVKhekwNtkY9BBgXh0/OjZHQoiv3HHpp/qtFSNSHhcGens+iyEsWWQLcCtKUoW0DkWwBzucSJPorN64oqNHEW0d66Yw9e+2AD5o3qg/KJRdScbU4rZ4tbAc5+vVeZ08YZZZxMgqq3+dfzV/H23mNonhSPeY1rw0pOp8ALt1ABJblTihoo9zwrHmg1FUNJ7eAGGpkQT3lyccCThcu+fESabKhgDkFrawxCTNYA2jhpbEIVhiO//jzKaIUZSSYnilmcqMNprDnw4pQ3Fx/lXaPfUd8WgVq2UNjI+EXANkzU4LOIEh8i+k1ZHj5lYqWPnQKufbTfK+BbjmzDjOKDhyLpkZ74/7GRecEamQAPBdsFt/85CWQo49+tQLZ4T/4eQwr5bcDdABAtwLYSB+SmBjeElN9WQ7h31aiBTV98QZlZzGfA/hbV688cDOK05DGaBcx5FODvROjynyz9uUY/J//lMnDWYBv5ywIi237YbTa6/P/YQp1WLH/yHjz6+nf4+fClgDJeco42awz0qpFno7tisI+DRjIn06g4B9xk3GTV3lnggT4bFg7GuYdQfqxImdP4xt2Rc/0Kzm+cj3IdRyGyeDn+KKk2i7CRmACtmerfMEBuwQNDn8buzeuw+eMVaNe9H3xWXlee20AeQrcVImlmkxIltHLV4Rat2+LeNm1x4thRvLNwIS6cP4cOHTqgS6dOCA8L5cY8iyLQ6yRdr8DrJEe2tddKiWrzjkz27fh1J2bNmoUl7y+D3UFKvqrBGBn7KFP3bTQ5Ek4id/+FPNR/o5nsDkR3G4HrK+fDfewQd+QzB/2m05dQOjQElcLC4MkjNgtX65cX6rBX62MTO0CsBeAWIPuQNwv7vBloYYpFhMmmqfyjnE/AyMZaJKy4B7HIghs/+dJQ3O9APX8kfLpyU5QFR2wG0o/J8+BlFVTIuRYLdeBSdg6tcmQVwQuPXHWAeBN8qFW2OOZ9/j2rNCAzNOQOxvteVnYWQkJClLOWsY8MmGVnkMKkNWBRKQFKOaLtL2QeoPOTPyjgpkxYHhQ0mlD031sy+r8Hsv+TQFsF28XgvXmFgW1DkF0IZdxkxqWr17Bnz1488+yEQECq88xo8jRl0C1HiTXRaUEP92P1O3Mxft4SbR+WO6gclRbRbAlEq7k52kWOZuvp4gGlXJR6v3LHNi4OrxL21IhxMLCtcA9lhy2PVFNaOYnOCVCt5FZwGjmnncv0cwao2To0MhpNH+yMj9+dh+5Dxij7ZQp5udgwFI/67z00/zjYDo2EOysVoNE8HbjWlO6SDXX1tRzJZgBbRLI9UokuFVxTEO12443VG3HgxBmsfWEUXFYz/J4CfowKslVw7VHVwiWwLaLZZM1AtgeXbmbg1Z2HEWG14aUGNRFmMlOATdQ+NWqgUtkNRQ2URLEljQS3tCYR618LMnHdX4ASJieqWcLQ0hxDQY14/nL5c6vxusrXm/+ngBUh1iRRxMlrQhMj31/DEoZceLHXk4n5Bamoa4tAI3s4zcmiEW4fA9lkniATqNkv0cmJYcoj1XJkm9iqjC7Och7JSZYaPQpJXf//imQbgu2oBHjSUhiNXG6C6xxkRlcch+oHCgXZgbRwnZHyRxBrAK1dor4rg6tmBtKcy13Vq2P2Sy9rvk7+qDg97QVgnHCKkQoBvX93o3+yEfebvqnuZsfJn1EOoU3+Cof9/1+QLVqo04ZlY+/FY69uxbYD5xR18QAhNKUJe8CgF/B+Jnd5QdNkEzsH2WRNHIL8eAq4yUIi236Wt+03k+8hEWK1ixOHo9/nhzU8EaU7P41LP3wAV4fR8Nqs/6+9KwGTo6rWf1f13j37PpON7CH7HhK2AGFRBBSNArKo4AIoiigqT1AQeSibCwgCPp4sKqBPHwIPQfYQloSEJIQQEsieTGYmk9mnp5d6393q3ltdPRkgSpZ78t1UdVV1Ty/31j3//c/5D7IkBJ3iA3IfJ2w2i1AiTHcmxBnuHKiA2oyTPk3F1P5w241Uj+CkhWdTwC3Y8axtIUvKgNGIOsIJMreGvD1WXQUYPmYcrrvhZlo3/u9/+yvO/cIXUV1dhbPOPBOHz5vHak6rrFleBIs6vtQv0SfKEsDil1/G9ddfj/++9z4kkkRLR4IY8Wp+d5P+x6o8S0iIg43J9poVjqLy7G+i8e4b0bnidep3tHT04C/rNuOWGZPddLM8gE0X77Osv/GwcBIVlxc2TgTGMm3Y6fTh46imfi653vu7ySUYJdpB6S9kL4kQFqASbzod+Ft2JxY4FRSEi6sp0KZ+gyj5G0AuE3Df98SSEixrbMGcWK0rMstaziVMiDL5psZmnjIiBHL9U5hIVJAroOkVdVO3KmbShM8kfvHVA+mnVGTA3fKcbA/gpoH4PCpQA9sFbGj5vhUuvs8DbTdcsLwe2d2NyHmYbTckp0DIODl3zTU/wQ+vvJLnF6lAmod3K3nUKpgWnUXPddNzrsV268b3UFlXDzsYogOUdSre+L4QXpLA2Q9Y62y5BNIS3MvFAh380+so4yx7swryte+UA2HGkNErGbNtFQbbZILUwsV5aDgNGycgO6CGkTsg0VeCyWZ/U/xlICuAOh/sVjCEVG8Kz/zvn3HsqZ/WVpLHVBdh0D64MvWRge1kGTIdu5gCswK0/VcsBfPNz3FxnLx8bK4QroWMZ9Lo6+3BJTfeheG1Vfjtt7+AADmeTnM2m4PsLGOxBcimIJqW5FIeq7nZmSx6ulO4c9karGzchYsnjMLweIIJkYhwL1eghLHZIkScgmzRXPVPtgLdls3gxVQb3sp0ocGKYJZdjPJA2A0bJ3CMCgcJ1kTkEPkAbffG7wHaLsimedd6XjbZDwUszA2W4rBgCd7IduLXXVsxJ1SC2eEimksoMDX5GcgkSgkg+odZaCY5KULDKStE87QJh83yt0ZfdhnqPnnaR9P59sF5IVhajUx7E5y+Xkl1ajypx3wJPKcggNaV+5UXUAH2QKknzdeSYJsBR3GyUPg4u6+HSagsFRwk4a0kXoL3S3Ev9bLY/MkayFYeK39Cf0ydmg8Gxylj6glJ9gJ8L5Mtn8sdqX7ytsXZWCSEyEEOstUw8v+67HhccNMT+MeSd+lczXwCWdZLt/zf1gXf3JdwTQPadAmc9lcCpimLzccJncfJPZWEklNlcnWhiPsoVIeC/a1guBSDT7wYbVvWY8eLf8LI078Jp6RMkgsUWJN92+MLsZxw8vj4876O5x/6L/z13rtwytkX8Hs9DyMnINsmrDuLDiKMIXlLLEyX3X/JPTUUjePTnzsTC884E5s2bMCDf3wAP/v5DWhoqMfs2bNpGzN6NEKkpKb4opiDUqCPqrnaASpYeMdvf4tnn3kG9/z+XiSTRRqh44Ka/F9E+wm0Me25ivhHlQc5yBZGxIJrv3QZtt7xc7S9uhg/f/1NXDx2BF3oJhFweWy2qElPamV7Fu5dwM3bq5k2unh/hFPG+lR/DO0ejrLnBTAexahBCo/kmnASKlFJZF6JEDBJe3ACtHwpjeiwSCk/BzZ9/w6OLC/H/21txKxBVbz6gBo2LsgUdi8mPlgwokc/qilJpIVDYfQR305dW1Kxgwt+PdG/HGxrpb1UTFWgrrUwEY3F9pXoLAVwi6hWMq60BVuPkSOHVMT36aiOfRZoE6Mdr7QG6GxFjpT+8ig8FgoZf2nxYrpSM2nSZA1Mq4BZW3ERZX7cUj+yo+QDbjEhOKisH4xzL/uxR/jM0wQbTfu7CppVdlsVPFNDxPVOrX4O7fMonRp+QgTC6HHmceUE2Ob7/THbDFSrAFqCb3GOPI18hkzeb8gGjstuM20VV+zs9K98E/98+D63RBMJ051cX4JqM4HkjYVgUTmyXa3IdXfks9jKYwkURPj4nkB22mWzOzs6cO6Pf4FzTzgcJ8+e5OZhky2rja2w2SIPWwXXSv61un1nZyuuXrQcnx05BF+aO5SBalrjUoqcCRVQjcUmjSqBMoV/unWA3mwOz/btxqpMF2bbxTg7XEdvzKQf9SrKoF5VcbnvP0ZE1AVV3eVjRgBtF3B7BNCo/gDfn2oXYYqdpCvgt3ZtxaeiVbTUGHGCyTUUdHvmCuIU08wswWzTQPEcAokkxl93NSqPPOID3D0P8LFQXMXGQk+njiLzaoEopoFIL8Bmx7TUC+15fmC70BvU/4y/eJvqPhcKH5fU7rixY7B69WqMnzBxQPS0FpLte1Ke0XTiFIyV95UVMPfv8M/lZai16/jFIvtOfET5GuKxSnezsZaMhRE+QOtkf1AjAmG/u+xEXHXPC7jr0WVKv/YAZz8T90CfPs9cBSFOJBTIAz40F6vnHbClUJoQX2OXkIVDDlbZK9N/kcphqD7sdLzz0I049JwfsWu4j8Deu0omMNDtvmbQwlELv4iQbeGhO3+J8dNmYfLMw7g/xHJmczZxzi3kbAayycvSRU7e12jAHq8SMWjoMFz2vR9QNnvHju1Y+uqruO/++/H2mjWIhCOYO28uZs2ciUmTJiEWjfrOGSJMnHwXTz/9DG666SaceeaZ+MOfHqSLg25an/st6LeRfn8pZVFNvPehZYmPvDbwvmaBUAgNX7scm3p+isSiFRhXVMQUxvNysmU+tgayedi4Gin3RqYDjU4fjkI5Mkr39xq7f6n/q8fFvr6UWIUIfd3Hc804PVBD+x8V9AsQjQEgxCsUEVabLBbYmRwOScSwvq2DMvHks9Cwcp887RF1lXh363aMHp2UPqC4JygfIBwO0ipHPsFGmr8kXU2dIJTkha5ArgFsx3+hSKSJqt9cPuBmvV4TSlMWosn4HVmVRPk+Xs4uuN8AjFAY2a42F1QXUhnv60vjmp9ci3vvv18D0mrzAm69fIIn50Aw0x7Q3dXVhVuuuATf+vkdTALfcbBj03u4/4YfYf5nz8PomUd4lMZ1dVjBRGvMtrsi7RFi08LQ9XwIP0E0YmrH3vTsQ2hc8iQOPet7KKofng+29xBG7g0ZVwsOC9Yvlwsg667Xqb8fH0A0n1vJ16b7pERYECd87gt44Fc/xzkXfgOHjRiEosg+3y0/urGQLEfODiHbtjMPaAd8gXeOiZ55gHY+k51Ba2srzr7qF7j8zJMx79DhDFyLUHEuekZBtitqxmpUSrAtBM8yeHfnblz9zGs4e/wINHV04/F3t+KnsyehIhiSdSvVMHEPyJalNthko4ZxrU/34G+pZky2i3B2qBZZBNgqNCkD5lPfkpjYvuG04x104WhUoBz5N2e37ypOqsoe+iuNM10CutrNxdDmhkoxyU7ir6kmjMsmMD9cQvO3HRIlIkAXX6RyBzpJcaTMERAZPARTbrsJyRFkvBorNBaydhjZzl35lG1B6wdgu8fEQlX/bLaW863+BbGSwsH0unc34ttXXYuLv3QuFhx9hHucvV2VyfbOVBIAzZ8/H888/TQmTJyY9zE1RlsNxfYotKr9mxy9967f4NH/eRg/vvFXGDnmUI3V7heoa59VvrAXbBf49mWfV8LDdZCtzyEkX7EkHkWQxP4ayzPyvVz7paNw6NAKfPc3TyJF7tUueC74y/GupYJyz/XcCWa/ryAyxPVchTxHQsY5yKastljYFfMQm8vpMhIpQ7S7EY3P3oXqWaeidNQMDP/MFWhZswR20Ebl2Bma/yV8Hm2BVCnNSNqRp5+D31/7XXS2t+OwY45XSIwAxe50VqSpOuTey24T5BgRZRNgm2x/d8dt+J+HH8Itv74VH/vEqTj5lFPpR+/q7MQri1/Ck0/9EzfddDP60n1IxBMYMnQIrQ5AypuRP9rR0YHXly1Db08Ppk2fjgf++EcUFRe74EADLMrX60YUFDL3tsZGMxGGG1IWpyXQjPl8XbaNud/5IYaMm4Ttt99GiQHBXqtsti6gqoeJs1rZwJZsCqtzXTgRVZRgygeM8k6V/7/4+RSwqNxVyf+7kcZLaMVQRPF4rgmnohpBErHFgTZ5L1Shn4Bs+p5zCGYdHJJIYH1rB8bFwi7YlqKIbH/80HqsWL8Jo0eRShXeBWTpJ5LSeKRspPqR7rqdjIUHcd3Nt2Lk2HEaKamWmMuPyJUkogqwHTEv5HVtUebRH3Bb3J8SM5kA4eIbJekkY6uLEA/v+3hh33+H3OxoEgE7hEznbn7/9wkZDwRw0y9+gfO+8AWUEiU9D5vtgmq3u3mVxnWG2O1A7g1fdqxnHnkYs+afqLHZ77yxFFYwiBUvPo1RM47QV2E9YeBqqEVe2Lgagq4y3Mr70N6vmlvh06F7mrfRsK6+zjZ+s5eDXyh9M5DmH0auMtrsgHxtlsKlCw25jAhlvHm4ugqylXxtkQZ+/MdPxtwh5QZkD8CsWBFgB5HdtY0LnHnLfwkmW83P7h9k72xuxrk/+iV+cv6nMXV4AwfZgr3Wt1LdU8nLVstrpDNYsnkHveFf++JynDSsHrfMnUpXWtTalawJ4TMufkZzuRmTnfaU2ujOZfFIbwt2ZTNYGK5FxLHcMC8mhqarjXsDJ4m10WqTAfTwW7g0cYv3uvlKf+UCimISoCGT3Fnza0R47fPhWizKtOHO7h04M1bN8rGE/gH/MzSHUVDdAQsV82Ziyi9/hlBpyUC6w0FtdiyJAEndaWviSK0fp9V1anUQrYeKOwXBuAaw+3GQXYaLLdtj8ZLXaYTVY089gwVHHy6fpoaOi/uv9iKyRx4+dy7uvOtufP2SS/L+lgxBlxs1hJwdFzdkudmyaSNsO4jdrbs8Ee4K2B4Ae+5+Tf2n0MlrtT2VAZecj3g9Ur6pNB6ldeiN9W9nHTcBI+tLcd51f8HOXZ0FfzjXB3DDxX1CxzVTi9pyYTVaOoH4XgRU66W/xCKS2iWFJkXX5tUEDWH32leQPGQabFiI1Y3Fxr/fgt7WRjQc9nGXNBBOTd67UoZmOBzDl378S2RTXXjhH49izvzjEY+ScGrWX6hkmwJ2KYsttrQeOwPcGzaQsWCjuWUXnUdo3KQDxBJJzD/ueByz4Hj3K+jp7sbmjZuwddtWls4RCNBa9l+98CIkEgnPrUMRhvMB277fNZ9jtEAdAPGIjYbSOIIE3Bvr1wadfCpKhg3HWz+4AukdTQrI5iHkHGhnC4SL9+SyVF2cgGyxuJPvT8h7ko/X4Dkq+qME441I0X7WjixqEcVruXbMdUpp2DgJH6c+TYD5NgRgi88wr7wcz2xtxJiaMjdHW2W1CYM3cUgdHlu+Fp8WJItaI14u+yAWjdHFIXUBYPPGjXS+am3dlbcoJEG2ckyLtlXwiMAryO/z4ttw+gHc5AGp1MJ8Lv2aklgYY6uTNKplf7CA80GTsj4iI6s2VIWZCDgR5GZJoP3OuvX4jyuvwv0PPMDCeNzEfVlaSxZeF6Glcp+JjnFH3RNWoj12HLz8zBOYMOdIBv7FgM1ksHrJyxg8bjJC0Zi8noSpcMEFObj5MS7uxPKSJMut1dMWIebivXtradMvRtnP+85y9DuLFJUxtkFxiMgkQcNiPVsSxkIb+YoDojYleSz3qTKizbdEwM7KPyb3WbPJMXEdf51x1UlMbShhQiTGBj4WMmlkd20GaK6qDrRd4K2Jn/mHi7fs2oWzfngzbrzoTIwbVC3rZ6sgO01KeOUDagqy+1h5L5fZzmSxobkd3/jHYnxr6ljMqSqXedeCsXYFzzjA5rnZBGCTnCTBZguQTWpd3921HbODxRhjJ7WaliqLLXKwC+VRkZs2KdcVo7rgfOAUgAcu8PBsqRPmhpKz8cLUxVn9VrJlfZuEgbHt9lwKf+9rxtnxGtTZpLSHCBPjY4GK9QQw/PzP49ArL6MLdsbex1jIZljethB2KfiL7gFkq4tVqkfv9oE9MYXyShFOSkRtnnvpVcyaNhnJZJKflurEDrnJKnWz1Rra9DE/f/rCz+He++5DOBL1KLzq9bS1fWXRWNY4ZS2Ty2JXSwvKK6vcj+k6ViKsWP/4/X9iF49JRlseYw6VSMHwXsvmHjaexONEJITiWDgv99tY/7a1qR2fv/pBvLFue+GLfEG2HAf5TrEsdUXVuUlKGRVIs2jeNs3PFs0O0q1lB2kjj9k+OQ+kdqxBomEMQvEE7KDFGjne/B7iVfWIFZciGLQQDpEa2TYiIQvRsI1YyKZMLn3Mj9PzQQsR28LyZx7F0qcfxzev+yUSsRitsx0SauS2qLXN/RdLAG3W58j8uXtXC6qrq6X/o/I5Sl/1anj4zx9y/LhrBsrYc0Wj3HRFyRb6sYQEWFQXRcxYeJ+WamzEim99B21vrOaRcsz/6CO+RZZtSapZijTymO8/nm7GYETRgLiv8Jn8jb2Q0f+8n5E+sA29qEMEYQTwCHbik3Y1yoJBRG0LCTuARNCiQrSxWAjRWBCReAh2wsb3334bvzlmFsJFMbeFiuIIF8URTCaQsiM4/9d/xIP/+V0EYklY8SQQjsMhaWyiBSPo6svhgq9dRBXxM04A6RzQl8lS4qWsoopjIR0TkX2BZTT9KRGh6wOwHQ82cceSO4Z8xpcYnyKUnI/J+pIoRlQk9quxsH8sByhGbuBEGMoKR7SQcfKjX/79H+C6/7yeZ7vpKy4uM6029RzvCPkOi9J4OYvli59HRQ0RQWOlGsRrk/c2duZcROJxnxurh0n3rvy4jo43VMojte9hr/339UZmN/KdiZVsja3ng8XLknuV0gXgV8G/+lhdRHDLlQnFdHXBQFFUJ39r1pBSTB9UakD2BxkLwRDsymEIRJOSxaZiGMoKpi/Ilkx2e3sbzvnRL3D9Vz/nC7JpKS9aJ1sRO6PgmoDsNAPZFHCzMHLCci/bshP/8dwS3HLUdA6ymcqnW7JLAdniuFQBzQfZzdk0ftu1DSeEyvNAtii/0acIpPmDbHaE3LQJyJbH9PBaMebo9+uZJsWYJGOZMeckxEytualsParotYEIPhupwX3djXgv0+OWI6MsPJnIQyFM+vmPMOHq7xmQ/UHGgh2kiuRWhAgoandVD2u8BybbC7a5gIxoGl1VqInewmt2k8XFY444DMlEPP/5nj/t/57ZdXNmz8arr7zihtANhEEueJ4u7FiorKwaEAv9fq0QNs//dAogUUB9STxC2/7kTO0r1lBVjEd/fi5OO2JcwT6aB7LdSDlee9utLaqEpfL8TydHxDDZPJLzaSzViMwZaWTp3CEaEfQDonUT4FgRVqZRlG0kx6tHYNM/H8DWVx5HOpNDXzqHVCaL3kwOqXQOvbRl2T45TgBTJos+ci0pazT/45j3iYXYtmUzevrSFESR43JLgBSJlFKJD0awkNFNgYVyjEVICaABD+mRr9+jCeGKvqzORcqOHl7Mt0ruqdpqSPmu4qgZCx/AIjU1mHb3b1G14FjJaJPm5mWrEXEsZHxjthc9Tg6DEWe/dz/3M/kbqkk56i8rIbr33kfA1yDqjVBFFkxBMV7OtcnSYnxL/QyqQM4YbSsXQMK2saurl7PcCqNNx6pDhRJ7+/qYQBpX/WcCicqcQxjtmGC0pZF0iMoqtvjqmmexSD7WU1dVRXItvBz6LUg9rpa701JsXdwm01xGVSUxsjK5342F/Q5oy/rCxbAjcXfV/7bf3I4TTjgBQ4YOlWx2ngCaN0RcMgIa+OxXDRz42z13UCE02XG8YFhtygqPEvYtPQvNl1LAth4i7geq5fP18CTX8iZXZXXJE5quMyGe/HEFbPuXIRNRAQr49rLyKgh3HLoCfeKYaoyu5AyPsQ82FkgkQeUQWCXVCpOtAm1dAM0t45XN0BA4Ei7+w3NOw8ShdRoAd8PERVPCxAmYzhKGO08ELYPH396I219fg5uPmIbacFiGiItyXRm1dJenPraoja2A7B3ZPvyueztOC1ehxormgWwXrGppIX4wW96YhQOjhnHp50QihBeAsz0VcIv7ggD5AliLxxkFfBcFgjg7Wof/6WnG6nSXO7mHqitxxEN3Y9hZB3f5rr2iSF5cCTvuF3I/wHBxNSpEFUfTgLHn5l0AGKtgWz/mMwGoCwHqafftOzj66KPw3HPPyc+gfna1qVqhyvl8YJ6P1Pe6+5I3r+nHVSBCzpHoj6qiGGWzjX1wi0dD+N0PPo0rzp1PGVz15ygEsl0/QanJnddIBQe+aJsTwJvPJ6LlOMjOZfqUlkY2S4B3BlkS6kpShGhpJXbvZwrQOTQc+wXsXrcM7VvWs/QhDrgZoM4iRUA3B959Yj/LGgHSY2cfiVhpBX560TloampiC7Zi4ZY3dX4RObriXq02Brglm6eBbtf/8ab9KbeLPBIlH4b5gWwWNUBy7wNoKItTNtvYBzc7FsXkW67HyEsvoqkEkvjRF1BIS+VyeCa7C3NRxjRe8n43/Qam/i8zjNVnyF+Zxy95jshXq0cMTU4fdmfTXHOG90vy/rjquAgfn1lWipd3tHhE0HJai4VD6CYgmvh9boSjOsf1rx3an3kXRjVsopYA6288OHsG3AKrkbEwpaF0ny3fdUACbWHBSBThWALr3n0Xi156CV86/3y5yuL5Ub3AWRxzw3gUAOqtYy3YbHKuuXE7xkyZgRipiej+8+scKjj2qeHtAwcKkiV+AFs8RyFCJPiWjp12k1DqbWvPVxcf3JuLP7MtVdLVRe989XSxKuzHdo+sSGDh5HrU7sNy/PubWSU1sOtGAaGIzmSLmqok1cKtuUhAcRpfue42fO20YzFrzLA8tlvsqznZLuDuU1htRQjtoVXr8fzGHbhh3lQkYCnstac2treeJQXZSn1s7uh05rL4ffcOLIzUoCwQ9gXZYjIk5vXh1d7vnz8lrFDAlw7OC10rxpCYrAXg1p05NmFGYOG8aB2eTLXinXQ3hn36Ezh50SOomjP9w/z8xhSzEyWU3SZpPexHGgjIVn5RtzSet594QXYhGwDYdt+XUiWANzceS2HUiU2dMhnLlhFlaT8HSYlnzT/DT+cvLGnXDdDpku/UP1XJ71r/5+sOWyISRG1pgippG9s79u0zjsD/3fxFjBlSpauL54FsxUknSuIEHKe6acv2tHFQrQouCWZbZbNV9loF2myfRkaJa8j1HFyLLWXscsDQT1wKK5zE7s1r3aoTlLXmjbDc6pYBcQa0CagOxZJY+I0r8KsrLkFvOsO1PhiTLSKg3AVRT3qg9FvY/dwF3LxiSrYQy10AeMsqNn7zk24q6E6Eg2goTSAWMilEe8tGXXwB5v3tXsRHD5fRCq6uC2tLMu0YiwTClGXW4bLf8qZ+R1W3MjFNvV+q5tcPZqAEi3O7tbxxEfUmGG3CXs8sKcUrO5s9iuN6GzOoBms2bHHLftHme/cdgHmmFz3Sz19ZnJ4rQO45LqbykJsK4BZ4qrYogsOGlqN0P1bZ36+BNjGS9zNq9BjcfffveM1snU0Wqyte50DPXZMdQmWpdFDOWkdbGz715Ut8n+t2Ds0B9wkF9whkqOZ7rU9YuPcJvs6MSpQoHo0v6z7AMHI1r11ntZXHari40kiuySmH1uKE0dU0x8rY3rVAJAGrYRwCJbX8h/WEjpMtB9FX3/UnHD5xNI6bdqgGrCmjLVgKWkJC5l1rYNtlshmQfnDlOryxowVXzhgPi5TPUJlsd18vtcHYbHJMTiQCbBPH6IGeRiwIl6MYQSlU4oqXKEx2Hmz2Tgf6FCcmTF01Wu7rQWDyufkQW+6J+wYF2QJsCzbbXUBg50n4+gVDJmDW1d/B0Xf8DBEjerbXzQpFECyrZcKBGAjI9txYtfPeG2/eDbTwNYXAtsZqe30fjzPEryUVGkKhEFJUJZYtBwUKRGRIhlsPMfdntt8/k+1GZr0PZ60Qq00I15riGGWyVfbV2N6x6WMa8OyvL8A3PzuP5iZrIJv2Lw6ucyQENY2eVX9B71t/R2b3RmR7d6Nv40voffMvyPa0It30NrIdO1iIOLmeh5EzAK2z2dm0ANkSYAuwTe/7lNnmi6yc2SapQ/StWSG8+7+3oae1WTLbPo0w2mr4uEg5qhk+Chdd/xusX7Mau1qapbAmB+Oqbo7U4GGLoXKr56e6AFs7Jh4L38hTolXlPVynzM9Yvyf9vzIZRaUZC/8SK586Ecc99WeM+8YFyFq2Ip7KBNDedrowGkm+iK8uuvtEA3Hz/qK6MLBksKV2dv51wqoDEbQ7WezO8QUipX+SkHdazivjoCoYxo7uXvY4p7DaNHyc+XvjBtVi9bubdSE0FbB457wBmFZVWXz+AgvSGgZCPsSXZKd/qDkRwpzWUIJJdSX7jehZIdu/3z23SCSCiopyxCIkp0v/Mf2BI/9RuRvtm4/tw2Y3btuCh377C09JLeVmqu7n+V16hxL+ne5ueR27PF9Nuv8+TJ72hAIgvpCT52Xf9TAOPQ/J7zvSQ8Ulmy0mqPG1RTh/9jCMrEzsxV/emF/4rFUxGNag8YAdYeCZ59exkPEs/vB/z6Krqxvnf+woN4zcBdnkZq2FjHvBtq44TtofVq7Dyp27cMWM8XBIeJMKqJUwcdoK1LQUTosAo8/2taEmEMYhVkzmUClgVaxE+0Nl9bELN+R3VGB12u+VZOVL71/ywnH9niOY7bywxJyDMZ89FV9e8gROv/TrpgP/y0uAlVHATdjtfkG2cu/VGOaCwNd7XO0eBcC2e1672Of1fV6Wv6fp06dh6dKl+eR1P/g0MMCtev2HyYHL01cttBAMIBkJYUh5krLZxv51FgkHcdUXj8MTN38JY4aK/EvJaGe7mtG76i/IpbsQHXcKouM+gWDFCNjxSkRGHIvouFMRCBcBwSjSO95EasOLyPV2ItvR5IJtmpftNiWMnD+WOdzinATbtAQTzZ9lgDsQimPoxy/CjiVPsprHQrxKgGy+TwE4DxsX+yJU3ArH6H34hu98zQXbbs1kLkhLQ8l9GO48P0YB0ioLqvtBHpLGJUnUf3r/JybGMilTVFMcp/m1xv51ZkfCmH7lpTjliT+gZMwI1+94KduGKYFi9/fJN68PoHoR6mK+9DD6X8LMP0f6zUQUYVm23fV1qL8jiAg+RkiriUawtaPLraUtmsjVHje4Bqs3bHF1FlzArcwzXrCvif/5vsOBHFFwvBpd7LC2ZtlrePXpJ9BOVM2VMHM1t7uhOIqjRlSi5gCJej0ggLYw27aQjEURCQX1Ul0a6FbDpOUqO2N0+2ezn3jwPhy/8By5Mq/Un/SW5NLyqpX3KFdy/MIpBsYPeF0zL7Pd32vopIkC3bWwcfmdqJEB6nv3DSF3wXaOiTfkHMTDNs6aOgifmlhPVUON/XssECuCdcg0BCoGM5DNnaE31qzDn59ejJ9esNAF2XDP81DxjJfBlgBbB9xZPLZ2E1Y2tuAHMyZQz0MroeFtfDVWOFRClET0GxHO1ZJNY1W6E0eFSJ6UZAvc3Dg+lt2+y/tr/yydvpzVP4zwC7EtBMrltWI0qWBbvGcyWcZqqrDw4TvwibtvQLTMlO76t7Lb5fWw3NztQoAbBc6rp3yAs/ocv+t8Fz9VUL3n8HHxmnPnHIbFixezxx5vKK//e/K080wKSWvPUU5rOd/acVq9It8Vk2u5nhr2KrvHa803lMZQV2JY7H+nTR87CM/d+lV867OHwyL6NjQnO43U+mcRHnEMrBBZCJeiaDI3m0VEWckahIbORWjwbOQyKaS3vY6elQ8h292CbLqHL9ryiCghoOaC7kKNiTnR0FgXcDuIVgxBzZxTsXP5cwxsu0KZDFQTkMwANqn4IpWk2TkWKl4/chw+d8l/4LXn/0l9ElWkUgXbjAmX592QXeUeromgeXO2PSx3f+HjXn+QVHIpTURQmjBl7P6dVjN9Es544a+Y+e0voyfgYFOuF4cg5u9f51kh78L/vN/Svt958n8tItiKFPOhlQV6BrZ5vnbWwdSSEixp5HnaLqst26i6SryzZUd+eS8+34j0KCJ+liEiuAXenAq8kRcxpf1X+NPlHPztv29HW+subHxnDXY1NeK1Z5/EujffwAuP/ZWNLcpiBzB7SBkVSCaM9oFiB9zSGZn845EwQraNtu4UU5RUVMWpE+wOIl1hXC2j5TK3kPsLPnMWSqvrpYCaZ6XGh5vId8dUkO537R7Atvb3PMyBn1/o+wJk4wkfpOCDvCat/8qhSIB8biapL45TdXW6ChWgWzpgRfnaXAAOr2NLXnvq4BJ8alI9BdvGPiKhtLpRCBRXIbt+KdpatuA7v/pv3P/DC2GTnp3zqpAzNttJZ+EoYeEa4FYA+NKtO/HI2o248fCpJNZOZ7I9rLULspVjIuxJLHAJMP1YbwtOCFfQPinzqBxklVJ9+WNLQF116w+svWdk9V55VJwL+F4pXzEftLNHOWVAkiiD6Wedhk/efBXiBmB/ZPOCXVSOQDSObNtOIN2XD6hdwKutPvq8mt9xn3hsco2ocS1uqarLJW664onqS7qFiMXVrM9PnzYVv7njds3REU17uqjjvedvpqCbSOpzC2dMHVnifN63opyk1/LP7x2RJdEQaosNwP5I2e3zj8fJhx+Ki372MFauXInooadJr0gJx3PrWSukgmuhOELDjuQ900LfxsVwetsQHn407HgZY3FIZZhAALks8SPYPm1ZfpzcT0mpsCzpNBaypE4uqc1tkakpgGAoiOaVzyNWUYfSYWNZRVda9idHAapbiotWemWlFCkQoK/DwETDqHEYMmos7rnhGpx1yeVAJKr5UTlSr9ciArqs7Bf1dWi5RjYGbItIaEnekpYbcsedHhqsHhPP8QQ/ubcEYtFQEEWxsKm68hFZMBLG/Ku/g+K509B68feQe6/ZXbT3Loh4i3cJPliGhfuZ8BmkVJrfa4hXF/vVCGOLk8IoJ54XacF8qRwmJYvx++1b8MnssDwxNOJUEaCaIT4dqUTDj7Na98oYh4PKqko0N+1EVd0gvT/zOu7KW1W+FFFyi10ja2D726pXF6F15w4kSkpw3Gc+7x7v7e7GqtcW4cbLvoxb7vxvTBtUjnDwwAHYwg68T8QtFLRRURRzS4SoOQAaqw1P6A/82exFT/wd7729mr62tx6pXMVXfDcBhD2K4WzC0tG1F6izq/rDzCpz8gG/oLw3LR/rLLZH0E2tS642pbb36KokLps/Cp+fMdiA7H3ArEQp7AnzsaIrhOsuPhcVyRjL21bYBlmuhYeK09xp1liutmjs3MaWNvzi1Tdx7WGTYZF+wZkIlkMk9tmkIPKKvOw2y+XXBWUaMyl0OVnU21EZnufmQPNFsLxur+qHqy69uopceMXVO4FKp0n+FRVcq6+lhpV7/Clqo46Zh0tf/ivOuucmA7L3AbNCUQQrBsMuqSICHz6Auj8uQwXmfufUrXg4kBu0z5Jr3uore5BIxNHd3aMssg4slM89xqnpPKDuzeP2e7WBRpMXSOlIhG0Mr0igoTRucrH3EXb7xd9+HZd//igMqinNB9nuVinxpZb7EilJXEAtNHgOgoNmI9e5E9nuXciKPG4hwsmfQ+eYHA8jp1t+TDDaOT5/0EVYB0M/9jU0vfGsZPR4eS4RIp7x3UpWm7DUuYCFUVNm4ldXfAupdJrlaPNSX27+NtcGIcddYKMKu3L/xiuiVbhaTX5YufADg7aFskSU+qe0jrexj3YsnHgsbl2zGGfcdT1KB9XTYzqLi4ILknLf714v/QjdD9GjgXRg72AEElid63Sj4TSFdJ6vXR0Ko7EnxRls5nu5jWvzkDrzPUTTg7PZmiAib/W1tdixY4eHpZaLRHkLSUp4ubhUkNoq261a264WnHzuVyh7rs5tkVgc51/0Tfzvnx/CnGGVByTIPiAZbdUIwCZlQkjuS3tPGi3dKQVw60DaqxaustmkPfvIw7j42l8qK6FK/o2PYyGOewXT+jVBprx/jYL+X1Z5MTX3znXVxAKA94bPmW32KckKtJLLzRcvyOcL5MhitINhZXF8ZkoDxteyPBdj+46RG9yxnzqTguns5tVIr30NTrZHCqERQO1uWRkuKnLDRWscd5tDd28aVz6/DD+ZO4XWc5TAWjhIKsiWIh6i0et5GJ4aCk62z/TtxjHhsjwVSrVevT42VICTF6PhA7zldJgf/KU/X8J3eU6fcL3QRK5ND5k+AadddzkOXXDEh/3pjO1lo2HP8RKaXpHr2o1cezNfrFHZbK95mG7fSwRt3Q/vy1f/xaUqm03vtAqTLe68jBkXDDkwZPBgbNq0CUOGDvMAZubUkfu0+hbdh/ytiX05RAo9Ye8YSRkiyrFF0f1XNfZAtWDQxpWXnIPvfjWNO/7yIm74/ZPY1dYllci1mtvkMXmWDHFw73iBHIuAiBQjECtDpnElKbIKa8hh7A5K/IWchVzWoiHrlNEmys48BYEA4UAgC8ci+IAx0jnLoX5FMFaChmPORuu65agYPZWVgbRysLOEbSagOACbgGrCaJPjuQCsnMMaydUmfymQw6QjFiBZXIpUbwqBmIUQPcO6P2HGHcUHEsfFljLdfGB4mWsRD0Uggjyusp3y2qBtoygaNsr6+6DZwSDmfGEhpp9xCp699V78309vReeu3Z7YNe+9XU1a06PdxHl9q8cfqRowqohrOUJocdJswcdS0xhEyiZblCoLhdDc1YO6RMRTS5stio2qr8I7m7ZhckkZL/2av5g7qKEBW7dsweRpMziIJtGqgtnmPZzPHWScUJ/fw3q784869ymOWlFpGcoqa7TphqiIT6orPiiqDx2YywceIx2nJB7G0PIkyuJh2jMcTwJ+f2x2OpPBlHlHI5ZMKsn7Sg1uVUlVWF4oOf9/Dw6Mxm47exFkuyDew4b7CdXk1dz225eLDdVFYVx4+HBcdcJYA7L3cQvYQQSHTUJ0/ucRHDkDDnV6FJVxDq4FyGZsNgfenNW+btFynHfocNREw25OnWS0xb4OskXencjRZsyEkv8Gps69LduHeiuqjEev8J63v+qVKfWtd3KU05t+rXgdeY2Y9vy5Bv2MfM0AqkcNx/l/+jW+/9ojBmTv40ZC+u1kOYK1I2AVlQ9sBXSPCLS/FdVCN1z1b3iYbO1vs+20aVOxfPkyH1pao671/z2MtW/ziX7/MEZCF4eUxagApgHZ+7ZFIyFccsZ8rHroh/jOuQuQiIXcHG04go1meZ6uI69FQvGcbN7s6gnI7t6CXKpLMtk5/RomoqYw2hw8sHQithhLWW0yh8DG5qfuQ6q9lQFtzmi7WwJI1MeaqrhkqIdPnoklLzyNO37yffSm+vRrCgmjcVab5WXL6ixe5lpnuPU5i7DWJYkIKpJEQ8ik0u3LFopGseDbF+An7z6Pj11xMSKJuC8TLZfV1aOF4onEcot8nv+18lXLEUaj0+cRgeX9j/taE0uKsbxptyQxFPVxwmiPbqjG2xu3+aiOy4lm+PDheO+997TPQQC1S2rzBWGXyVaUx+Xcwc9rrLj89G8tXYx3Vy2nj5NhG3OGlmHBqKqDAmQfNEBbGCmdUJWMYkRlEcroRJJ/U9RUIvnjN5e8jKNOXaiAal28TA0Jd9lszVcagEqZMKUDf3ivp9AfLMzIyAhK6RD6A24HJbEQzp8zDDecOhFzhpV/KKVaY/9eC4QiCI+fh9hJX0ZwxFReBUwPE5cstgTgj67diGTQxrzaSg6qPSA75xM2rrLcnnrrMqzOwZvpLowJxiXWEKkKStN7rpyy5PBSr/AD38B2pLAcbXgazXgMO/E4duKfaMYraMW76EKaZg6qr9lfv2Ywv6SuGmfefi2uWv0kZiw82YyF/cgClg27uBp27SgEEiSE9sPexz7MCqmHcVBeTywFzZg+Ha+//nphwOzjxmkjQAkLVA7mvRP3NM+zVp/anwWtAAaVxjC2pgilsbAZC/uRlSRj+NFXTsbKh67CV04/gpbV0VLgFFZM+AKsrzpKHW6ipuEgPPpEuk8bLTnEzqlgW2suG8fmCwEoaPkiJ4CGo8/C1pf+RkPHveVDXZCslOxigqyyZKQI/55+zEkYP+tw/OHWGzwVLdRSX/n7rvqzWpZIde+476iSNmTslMbDqCmJIx4OmbGwH1mspBin/uQyXL3uWRx14dmwQyHt3u69Ffr5Jt5oN+Ev6K+hsuDy7LBADOtz3S7hIGu4S0HZCckivNHUqtTTliCbjKXRDYzRZgyFojquAO4Rw4dh/fr1ks12AbOy74aLs39Ef4BpJbCIFHKORnSIxwKw09cIYNYxJ2LN0pcwvaEUJ46pwZDS+EE1Fg7o0PFCRiYPkidGQPfOzhR2tPciLYCyJ9SbdPCH7/wl/uP2P2gsswuoPWqqatmtD2LekIwPannMtdi6ER2O7OhcBI0+opOFpDa8QTDkdYdXJvGx8bU4ckQlIgdoTsXBYlYsiejsjyE8fi56Vy1G94rFcHp283BwCbxJyHhTRxceWv0ebjtmlq4crgBrHWTLc0z4jDlPwkHRWWtgSboDJ4XLtTxsP5FBabJ3yulMza3WWWfyaCu6sQZdGI8ijEMSUR4+2AeHQuwd6MMzaKZhhdNRjBKECoabk2NDpk3A0Reeg5lnnopw7OBYnT2Qoz3ssno4RZXIde6C09kKOJl/4ztQHS5lomE3Zr7vYNzYMVi9+q2Bv6we1JHn+mnHlUAQN2JdAGzxFgoIrZEQ8apkmEaNmbzT/dtqK4pxy3c/h0vPOR53Pvws7vnrC2jc1a798KK/sO7ClzmJI59joeSwgujb8BxC9dMQKK5xRZlgsZxuKtAUkAw5qeMdIM/NObRZfL5g+zkkh0xA0eCxSPd0w7KTsDWwTRhpHjqeJUJmTMSMnrMcei0RPaOaICQn95iTMPOYk/CPh+7DpNmHo37IMPahLKFkyfbJx9CO0zrvcpzS2UPUlHVPOQjbNiUiSPk6Mxb2byuprcYZt16DEy7/Kp6//X4suvtBdOwk6UbC2I/vFxDOUIFINpDA2i8tTTVytB5RrHQ6XKFYunUXoFgK3tCiKNa3d1D/TA8dZ2WURtVV4TePL2YAm0akqGw2A931dbXYvm2bf4STk3+Mho+TLRUSFGkXLJ2UjAf6HZBUEfoXHJREgvjMgiNw6WdOoNoEB6MdlEBbGEm8Jyvv9SVRNHelsGV3D1p7MpqTv3blMoyePJ0qY6piFu5CrsKjDSgPux8TzoyqSrk3wsX1k+KPyVuAOC4dKj74lfEfsiwcObICJ0+oo0yFsQPLrGQp4nNOQmzmAvSuWYbOV55Bz7tva2Hk1y9agUunj4NNbrAeAQ76uFBuNme5BcjOE44hYeOOg/ZcBsVWiIbuqaXxtGinPZg3fEt9SgcyWI4OnIgqBJVgHjIlhGEhggjKEKEAvB0ZvIrdKEIQ01BCz7PXcxCKRihrTVa5D5k9dW/+DMb2AQsEw7BLa+GUVMPpbkeusxlIdf/73kBerrd7gp4LBoN0EYyqpLv/ZE4d3VfD+NR5qcDcwsCzflIAanaUsRZsIVZ5HoCyeAiViYiphX0A2pDaclxz8afww6+cgj8/tQR3PPg0Xlq+jp6TOgPqCj5btXccqjGOYM1EpLctg508Hg4H2DQEneZ081B0TWzN4vuWBNlk7iCqxlYOXVvWoH3daxh5yldcgJ3NBSjjbLtg20FQYaNtAq6JKjmvkGIxsRnawcfPPhJ3/fT7OOmML2DGUcf5gm0UANs0t5y8HnfayGsXxUI095SoiRs7sKx8SANO++l3cfKPvonXH34cz912L9YvWpJ3U/VmaqveiF+EnFyo0o+TBAPiB5HIDKKI74rxKWl4BIGTfpdKZxHygm0nR8vGtXd1K6Hjepkv0tSFIBkazvO0xb5YLuDHyHMoyKYAmy0CWDwll7LYloP6oiiGlsZZuu5BbuZuQO+bAVQno7R1pDLY1NqNLW29dFiMGD8Fg0cfKnOSPQSxGkqtgwI1DH3gkePC1HANRjfzMloiPEMIlWleFH8uFSrjF4s36mc+i2naIcehZVhOnlCLEw+tQbERszkoWL3Y+Jm09W3fjPZFT6Ltlefx3NpNqIhGMLa0mIFvHt6nNREi7mlu6Lib26aE13Fme22mGyNI2LhWNk936v26rP96sPJ5+BVk+ex5tOBIlGsg2/saAlQQJnsBqrAFPXgCOzEbZRg3fBSO+upZmPvFhUhWlO2179zYvpvDTULJiWq/09eDXEcLnC7CcgvPey+Ye5/mS0Skz6uOj9D18HTy+vo6bN26FfUNg3zeeAEwLf4kfyCmDu/le5o2AnyRujIRRnk8fNCyFAeThUNBnHHSHNpWrN2MOx58Bn94bDE6e1Iui6v1HO7/WPEKBGsO5Ydl+DkRZhJbGuZqkRB1WwsdV0PIybiwckByyHhse+4B9HV3wU4mtfBxN486rzEwTvNO+Ziy+QAor2vAt27+HTpamrD85RcwacZhCJMQb1JejJN+ZJ9iab7P/DDmgxFQYdsWKhJhCrBtoqps7IC2YDiMWWeeStuWFW9RwP3q/X9DqrPLvUaVwpPcll4uVB5lW/W4uCdXBsLY7vQhiZhez90NFXcwIpnA2y1tmFoUl+kbZCGWX0OMLMxavLQXXaBVgDdRyCECm5s3bULD4CHaYq3LWitEXMBhomeCyRasNnnXJMK1vjiK+pLYAVUH+8NawPEWYzZGjQhqbGjpxDVX/xinfPnbbvkhV8DJFclQtt68Ie8xPkgKXSdeX5TLEsIHbl6GUkLLzZnmj12mwf01PSHsvnGCugq5OE7ECmYOK8cJ42owa2jZQZVLYSzfMt1d+OMN/4kZTjcy695BLp1GLq3Xys6Kx2myT2pt82P0eJbuq31dCnyw7T1d23FcuAylgTArs+Lwcit0H+jj+7kBh93qIX5r0EH3xyKpRXLIff/nR4uLMfK4w1BxxBR89htfZeUpjB20Rlm3zlbkulv7Z7mFWoy67wJqpsLsnqOevKASLCpQyAoGW57HNtu3bNz+2zup6vgJJ56kL17RBSzPgpZWzlKUGVJSpZTIEZl7y6cM5TxxppKRIAXXRZGgmRcOcmvv7MF9f1+EB594FS+vWE/9E2oBC5YdpNoHZOHW6WqkDn2ociQs20bACrLzNttawRAsOwQrGIYVCsF2txZVRSdbO2QjGLLofnr3VsTKaxBJJuiCTzhk0y0RGSOOfkTZp8fp1kbIDlD9ALIwxELLWd1ssk/Ilpce/TPee2slLvj+NexcgOkNkP2gez3bJ69FmDozFowR62nvwMu//zOW/PHveHfxUha6Tc3PrxiYhQLAhkA3JQkOC5cgYQeQCNlIhi26jcdDiBRH8EpfOzps4MwpoxEpiSFSkkCYtOIkgkVF+PrvHsFVX/4c6gmIjhfRhlAMTihKW84O454H/oRkcRlO+eQnkclBEQKUugRuqTsXC7HriBVFg6hORqj2lcEL+WYY7X7yuEdVF+P3v74RqUwWW9t7aWg52ZLQDWEai60w10K4iTVRpgUDNzV0QyGn6Sl+vv81EhbqN9B1lJqiCOYOr8Bhw8sxZVAp/fzGjBELxhP4/JXX0P1MexvaX38Fu19ejLalr8Hp6+bRSCoL4X0smQld4Z85/525DK2dXWmFKahWHX3BbOvm5eEkqMnPlmJnNqAHx6Iib7IT16pHy4cOwsRPHIfJnzgWo4+eQ1ewjRmj/YWAh+JKWMVEDDADp6edhpc7vR3vi+lmpbsCvqy228fpcf/794Tx47H4lVcp0N7z3xKh32z8iceMpiscSk6OB4MBFEVCFFgnIkGTb2rMteJkDBd+7jjamna14/EXV+CR55bjqZffQk+KaBtw9syOILPzTYQqRtB7ucpmu2Hjbli5zMvW2Gwqtsb6b7h8EDY/fQ9GnHyBRlyoRISXyCBh5SRChfVtGu/NWWpO1wGY+/HT0drciO1bNqF+0BCaLpjlTDYJPY/YFgUTFfEwiqNmLBiTFisuwvyLz6Oto6kFKx99Giv+9ym89Y/nkerqUe7Eyv1dO5ZPDpC9YieI99DDgC0CWuSGSNsbFU/ggR3bPcrjssTXyPoqrN20DfWDBrlsNhM1ZHnbJMx77pzZuPO/fo9TP/kpNw2JhocLDMKDVoToWdCykIwHaZQrWXw1OgT9mwHaA7BI0Mbw8gRtpKNv7+jFxtYebNjVjfY+RSzH1yfaM9CVIeKF87OlOIEMF2caHAyQ0xqWdDuwGHVy2eiaIswbUUEB9siq5J6fZOygt2BxCcqPPp62XLoP7cuXYdeiRdj14iL0bNuhKNSqoYK6uKAaOk6OLe5rx+xQcQFQXaj3+u3rtSjF/xmuIk4EzmSolvIKgQCGTp+ESacch8mnHIdBk3moozFj/fVCwsoly4FkOQMJvZ0MdPe0A7m9JKLmhuWKB2xcjR8/Hnfd/TvpmPn5cKKutpJvLc/4fSCWpx0LWkhGgxRgR00pImMDsKryYpxzyuG0pfrSePa1t/Hoiyvx2KLV2N5ia4tQenqa3LrOvwDfNNebTRQCZLP5IYBUewu6m7aiqHawC7BZxKAov6XWHGaAm4W7slzXgAKg3dhYACefdyE2v/0mlm5Yj+lHzEdpOIi64iglIsh4MGZsT1ZUVYG5532GtnQqhbeffomC7hWP/BO7t+5QxoAf063fmYsRwm606+QDX3Ri5e8cVAfD2N7dw8VoRUi5IojGgfbRc1ipvvwSXzmMGjECa9eulfoefEqhwmdEYdxxaORILMQWXM288P7MAO33aSR0aFBJjLZ5w8qpiNqODtF60diZoqqWAzaFWHDBts8lLKWIsRJqWraSwt0v2CarTqOrkxhdk8SYmiJMbChBZTLyfj++MWOuWaEwSmfOpm34Ny9F59q1aF+5Cm2r1qB95Ztoe+sdIN2nKfOrAFsA75XpLnwt3vC+Aj6UkaFMVN4QcGZdyCJJb3XseLy0GIOnTcCQ6RMxdMZEjDx8Jkrra8wva+zD5XPHigm1wXpkXw+cVDfbpnvpOHh/IU0+RhdXGXAuKytFW3s7/9s+6rDqaFBEzcR8IU4QISfiQJHFZOI8EeVwE81k7MNYJBzCCfMm0PZLACve2YrFb3wSqzY0Y/m67VizqYXlPysdm8Z3KDncjN1momqynCprpDNXTTsBXY2bkKwZxFPtJMDOqQCbKI/zsl1ErCnLc0vJHCTyranlAgiHgOpEGCPnTMOGlUuxYGQlEgZcG/sQFopEMOGk+bSd+ZtrsXn5m3jv5WXYuHQVNi1diW2r1iKbTvs+l3TNcMBCiiw6aXpQUteMgW3GMmczquo4Y6tpia/6Krz49GtUC4EPFEUUjeVqkzFRXFSE5uYmlFVUytSKsEXZazJHkK2xD2YGaH9II2qrpE2oZY/JDb2pM4Vt7b00zHzr7m5sJ+Hm/byGFDjzSiLICwTI9j1NpfQ5AA8EUBS2KUM9hgBrCq6LqLK6yZ0w9q+05OjRtNWfzh7nUn1of/sdtL3xJlqXr0Lz8jfR8tY7yKXSvA4p8F6mB0PsCJ0oSK72QEQD1UBvNyy2QP4TAdVVhx6CQ+pK8amFn8HQ6RNROXyIGQvG/qUWCMdoc/sscWjSKQ68U3DSPRx8D9QcPZycRL9aFhW5Icx6oRhwFWSTB1Ger0qEakgeK8lBNfOCsX+lTRrVQJuwVF8GqzfsxPJ1O7Di3SasfK8Zb2/dTQGxANkMDBAFcjUqiqclOUDxsInoa93KwbWqR8CZbLGoS1hrFWRb5BzJ1bZQWxxBbTJCw8GrErruwKyhJ5pOYWyv2+Ap42kTRhjvbSvfxsYlK7Bx6Uratq96xwXfbsCHVyRWpFLQlkNdNIrN7Z0YVRxx2WxxbmhlKd7bvtMtqUcGkRRD43/BsnH5976Lvt5eFMVjbj1sY3vHjBjav8HIjb6zL4P2XtLSaOtJYzdvraR192F3TwY9fVkqwtaXzaIv69BccFczhxaIByIhiwoOECEOsiVql0SQozwRdvdJ/UZjxvZFy2Uy6N3Zgq4dO9G9owkvvPgCqgIhhDq60b69Ce3bG9G2oxm9Xd1IpTM0DDGVSqMvm0PWsgEqjmPDDoUQKylCSX0NSuqqUFJXg5L6apTU8UaPVxt1cGP7rLGw2AxTiCVbzjiwsFmyzx0qKulqSbE0Mg4CNi7//g/w1a99DYOHDpP53tRB4vOFxUSe2NaiDIUxY/uiZbI5NLV1o7G1BzvbetDUnsLO9hRaOvvQ0kVaGq29fUhT5e8AHDuA1Q/8BGMXXoZESTFiYZu2RJjVr64qijJ/iPpKIXqM5JMWR4I0uo9Ebhgzti9aNpNBe2Mz2rc1on37Tjz11FOYVFmHvp3NSO9sgtPUBKtlF8K5NEJRG+GEhcdaGlFdmsCJE4YjWlaESFkxbcHycgQranDz/zyFy79xIQKJEgRiSQRCMSAUBmyisG/Gwr/aDNA2ZsyYMWPGjBkzZsyYMWPG9qKZoHtjxowZM2bMmDFjxowZM2ZsL5oB2saMGTNmzJgxY8aMGTNmzNheNAO0jRkzZsyYMWPGjBkzZsyYsb1oBmgbM2bMmDFjxowZM2bMmDFje9EM0DZmzJgxY8aMGTNmzJgxY8b2ohmgbcyYMWPGjBkzZsyYMWPGjO1FM0DbmDFjxowZM2bMmDFjxowZ24tmgLYxY8aMGTNmzJgxY8aMGTO2F80AbWPGjBkzZsyYMWPGjBkzZgx7z/4fKU3SM4ig1akAAAAASUVORK5CYII=", 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", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Median correlation with constructed map: 1.000\n", - "Displaying selected ICs per subject.\n", - "No maps selected for subject [1], consider a more liberal threshold.\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[{'blink': [np.int64(0)]}, {'blink': []}]\n", - "Applying ICA to Epochs instance\n", - " Transforming to ICA space (15 components)\n", - " Zeroing out 1 ICA component\n", - " Projecting back using 31 PCA components\n", - "Applying ICA to Epochs instance\n", - " Transforming to ICA space (15 components)\n", - " Zeroing out 0 ICA components\n", - " Projecting back using 31 PCA components\n", - "ICA correction completed.\n" - ] - } - ], - "source": [ - "# Compute ICA for each participant with 15 components\n", - "icas = prep.ICA_fit([\n", - " epo1, epo2\n", - "],\n", - " n_components=15,\n", - " method='infomax',\n", - " fit_params=dict(extended=True),\n", - " random_state=42\n", - ")\n", - "\n", - "# Select the relevant independent components for artefact rejection\n", - "cleaned_epochs_ICA = prep.ICA_choice_comp(icas, [epo1, epo2])\n", - "print('ICA correction completed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "LcMtA6btIG0i" - }, - "source": [ - "Selecting relevant Independant Components for artefact rejection on one participant, that will be transpose to the other participant and removing them for both." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "You can also use the mne-icalabel to automatically detect the not brain related components. Since this library depends on machine learning frameworks with complicated dependancies, we did not include it in the base requirements of HyPyP. If you want to test this automated approach of ICA annotation, just install it using ```pip install mne-icalabel``` and use the function below:" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "```python\n", - "from mne_icalabel import label_components\n", - "\n", - "def ICA_autocorrect(icas: list, epochs: list, verbose: bool = False) -> list:\n", - " \"\"\"\n", - " Automatically detect the ICA components that are not brain related and remove them.\n", - "\n", - " Arguments:\n", - " icas: list of Independent Components for each participant (IC are MNE\n", - " objects).\n", - " epochs: list of 2 Epochs objects (for each participant). Epochs_S1\n", - " and Epochs_S2 correspond to a condition and can result from the\n", - " concatenation of Epochs from different experimental realisations\n", - " of the condition.\n", - " Epochs are MNE objects: data are stored in an array of shape\n", - " (n_epochs, n_channels, n_times) and parameters information is\n", - " stored in a disctionnary.\n", - " verbose: option to plot data before and after ICA correction, \n", - " boolean, set to False by default. \n", - "\n", - " Returns:\n", - " cleaned_epochs_ICA: list of 2 cleaned Epochs for each participant\n", - " (the non-brain related IC have been removed from the signal).\n", - " \"\"\"\n", - "\n", - " cleaned_epochs_ICA = []\n", - " for ica, epoch in zip(icas, epochs):\n", - " ica_with_labels_fitted = label_components(epoch, ica, method=\"iclabel\")\n", - " ica_with_labels_component_detected = ica_with_labels_fitted[\"labels\"]\n", - " # Remove non-brain components (take only brain components for each subject)\n", - " excluded_idx_components = [idx for idx, label in enumerate(ica_with_labels_component_detected) if label not in [\"brain\"]]\n", - " cleaned_epoch_ICA = mne.Epochs.copy(epoch)\n", - " cleaned_epoch_ICA.info['bads'] = []\n", - " ica.apply(cleaned_epoch_ICA, exclude=excluded_idx_components)\n", - " cleaned_epoch_ICA.info['bads'] = copy.deepcopy(epoch.info['bads'])\n", - " cleaned_epochs_ICA.append(cleaned_epoch_ICA)\n", - "\n", - " if verbose:\n", - " epoch.plot(title='Before ICA correction', show=True)\n", - " cleaned_epoch_ICA.plot(title='After ICA correction',show=True)\n", - " return cleaned_epochs_ICA\n", - "\n", - "cleaned_epochs_ICA = ICA_autocorrect(icas, [epo1, epo2], verbose=True)\n", - "```" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "t6ohyHwyM5_Q" - }, - "source": [ - "### Autoreject\n", - "\n", - "In this cell, we apply the local AutoReject algorithm using HyPyP. This step automatically rejects or interpolates bad epochs/channels while ensuring that the same channels/epochs are removed across participants. Verbose output provides a before/after comparison." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000, - "referenced_widgets": [ - "8d3b374a199340a1aaae30cdfcbd2f3a", - "d1503a246d2144718a66002ae1ccd369", - "9c460121a3564ae9955ca30d3045a4cb", - "cf8222dc26fc44b186b8945fa9fc609a", - "6c3135af182045449e9efdc2ccc1cd9c", - "791792fcc7164fe98c0e2676b400286f", - "7af8b530217e423a8a4c78435c01ed32", - "d7463bb385ff4178baa222c7ca0d7097", - "6aff82fd480f4955a46e237e6c3bbdb5", - "fc2cfc3a28444dd6b76efb2d71f92bbb", - "95c2d620592a4c66a60a96a71393d127", - "f35b4ebc653942b4bed2957222b2c040", - "55807a677ed14ef18e529c65a787d0e0", - "b91d73ded847438c874f812ce0025a12", - "992811ccbbd748e1b37433eb5fcd2dfe", - "1194de640c2c40de95bbef7792d90a62", - "18e16d7d3fd7462c924dae3ecd172666", - "0305e4c99c3d45ea9103924b8879c60b", - "2c3e178d32874aa298f15d90f4589646", - "40e340b7ae61499ea7eec6759bc65261", - "e6efacfc866844a5bae720dd54c3dacb", - 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"6428599432ba4a83ac2524e0d2e942d6", - "fd2d018eb3f645e49d9620a579d60205", - "bdc306dbfff94156b4facee1b72be2dc", - "3c7cc720b984484aae13577395516668", - "a8400e16eb674ad3847378fc0f0af20b" - ] - }, - "executionInfo": { - "elapsed": 42755, - "status": "ok", - "timestamp": 1655930358257, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "D2KZUPNMNBUG", - "outputId": "11548c03-8f27-434f-d853-ab4bb9789c7f" - }, - "outputs": [], - "source": [ - "# Apply local AutoReject on the ICA-cleaned epochs\n", - "cleaned_epochs_AR, dic_AR = prep.AR_local(\n", - " cleaned_epochs_ICA,\n", - " strategy=\"union\",\n", - " threshold=50.0,\n", - " verbose=True\n", - ")\n", - "print('AutoReject completed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "yIzhL56sPBW7" - }, - "source": [ - "### Picking Preprocessed Epochs\n", - "\n", - "After cleaning, we separate the preprocessed epochs for each participant for further analysis." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "executionInfo": { - "elapsed": 177, - "status": "ok", - "timestamp": 1655930418700, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "gNHNKB0wPNOC" - }, - "outputs": [], - "source": [ - "# Assign cleaned epochs to individual participant variables\n", - "preproc_S1 = cleaned_epochs_AR[0]\n", - "preproc_S2 = cleaned_epochs_AR[1]\n", - "print('Preprocessed epochs for both participants are ready.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "lz1mu3DMQUdP" - }, - "source": [ - "## Analysing Data: Welch Power Spectral Density (PSD)\n", - "\n", - "Here we compute the PSD for each participant in the Alpha-Low band using the HyPyP `analyses.pow` function. The PSD values are averaged across epochs." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 191, - "status": "ok", - "timestamp": 1655930441498, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "vYrIa3VrLtKu", - "outputId": "b4bfbaa7-031c-4a54-ae3e-e55620bb9b94" - }, - "outputs": [], - "source": [ - "# Compute PSD for participant 1 in the Alpha-Low band\n", - "psd1 = analyses.pow(\n", - " preproc_S1,\n", - " fmin=7.5,\n", - " fmax=11,\n", - " n_fft=1000,\n", - " n_per_seg=1000,\n", - " epochs_average=True\n", - ")\n", - "\n", - "# Compute PSD for participant 2 in the Alpha-Low band\n", - "psd2 = analyses.pow(\n", - " preproc_S2,\n", - " fmin=7.5,\n", - " fmax=11,\n", - " n_fft=1000,\n", - " n_per_seg=1000,\n", - " epochs_average=True\n", - ")\n", - "\n", - "# Combine PSD data into a single array\n", - "data_psd = np.array([psd1.psd, psd2.psd])\n", - "print('PSD analysis completed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Hq2Cvg0uQ4NY" - }, - "source": [ - "## Connectivity Analysis\n", - "\n", - "In this section we compute brain connectivity metrics. \n", - "\n", - "1. We first compute the analytic signal per frequency band using `analyses.compute_freq_bands`.\n", - "2. Then, we compute connectivity (using the 'ccorr' mode) and average across epochs.\n", - "3. We slice the resulting connectivity matrices to extract both inter-brain (between participants) and intra-brain (within a participant) connectivity values.\n", - "4. A Z-score normalization is performed for illustration purposes." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "executionInfo": { - "elapsed": 179, - "status": "ok", - "timestamp": 1655930449033, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "RhqMurdnMMHN" - }, - "outputs": [], - "source": [ - "# Prepare data for connectivity analysis (combine both participants)\n", - "data_inter = np.array([preproc_S1, preproc_S2])\n", - "result_intra = []\n", - "\n", - "# Compute the analytic signal in each frequency band\n", - "complex_signal = analyses.compute_freq_bands(\n", - " data_inter,\n", - " sampling_rate,\n", - " freq_bands,\n", - " filter_length=int(sampling_rate), # Adjust filter length based on sampling rate\n", - " l_trans_bandwidth=5.0, # Reduced transition bandwidth\n", - " h_trans_bandwidth=5.0\n", - ")\n", - "\n", - "# Compute connectivity using cross-correlation ('ccorr') and average across epochs\n", - "result = analyses.compute_sync(complex_signal, mode='ccorr', epochs_average=True)\n", - "\n", - "# Determine the number of channels\n", - "n_ch = len(epo1.info['ch_names'])\n", - "\n", - "# Slice the connectivity matrix to get inter-brain connectivity in the Alpha-Low band\n", - "alpha_low, alpha_high = result[:, 0:n_ch, n_ch:2*n_ch]\n", - "\n", - "# For further analysis, choose the Alpha-Low band values\n", - "values = alpha_low\n", - "\n", - "# Compute a Z-score normalized connectivity matrix\n", - "C = (values - np.mean(values[:])) / np.std(values[:])\n", - "\n", - "# Process intra-brain connectivity for each participant\n", - "for i in [0, 1]:\n", - " # Slice intra-brain connectivity matrix\n", - " alpha_low, alpha_high = result[:, (i * n_ch):((i + 1) * n_ch), (i * n_ch): ((i + 1) * n_ch)]\n", - " values_intra = alpha_low\n", - " \n", - " # Remove self-connections\n", - " values_intra -= np.diag(np.diag(values_intra))\n", - " \n", - " # Compute Z-score normalization for intra connectivity\n", - " C_intra = (values_intra - np.mean(values_intra[:])) / np.std(values_intra[:])\n", - " result_intra.append(C_intra)\n", - "\n", - "print('Connectivity analysis completed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "0Z8lcGfAyXzt" - }, - "source": [ - "## Statistical Analyses\n", - "\n", - "We perform several statistical tests on the computed PSD and connectivity data. These include:\n", - "\n", - "- A parametric permutation t-test on the PSD values.\n", - "- Non-parametric cluster-based permutation tests for both PSD and connectivity data." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "UtFM0qsQyYFP" - }, - "source": [ - "#### 1/ MNE test without any correction\n", - "This function takes samples (observations) by number of tests (variables i.e. channels), thus PSD values are averaged in the frequency dimension\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 163, - "status": "ok", - "timestamp": 1655930502229, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "xz9Jme5wzPBc", - "outputId": "dd400a32-52a2-4c02-d5b9-0c3157cf1e60" - }, - "outputs": [], - "source": [ - "# Compute mean PSD values for each channel across epochs for both participants\n", - "psd1_mean = np.mean(psd1.psd, axis=1)\n", - "psd2_mean = np.mean(psd2.psd, axis=1)\n", - "\n", - "# Combine the means into a single array for the t-test\n", - "X = np.array([psd1_mean, psd2_mean])\n", - "\n", - "# Perform permutation t-test (using MNE) without correction for multiple comparisons\n", - "T_obs, p_values, H0 = mne.stats.permutation_t_test(\n", - " X=X,\n", - " n_permutations=5000,\n", - " tail=0,\n", - " n_jobs=1\n", - ")\n", - "print('Permutation t-test completed.')\n", - "\n", - "# Alternatively, compute statistical conditions using HyPyP's statsCond function\n", - "statsCondTuple = stats.statsCond(\n", - " data=data_psd,\n", - " epochs=preproc_S1,\n", - " n_permutations=5000,\n", - " alpha=0.05\n", - ")\n", - "print('Statistical condition tuple computed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "ZhTWdXCVzbKd" - }, - "source": [ - "### Non-parametric Cluster-Based Permutations\n", - "\n", - "Here, we create a priori connectivity matrices based on sensor positions and then perform cluster-based permutation tests. \n", - "\n", - "In this example, we create two fake groups (by replicating each participant's PSD data with added noise) and run the permutation test." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 119, - "status": "ok", - "timestamp": 1655930509971, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "kW_LW9hYzW03", - "outputId": "d4816cab-e1dd-44f3-e553-25a1d1311836" - }, - "outputs": [], - "source": [ - "# Create connectivity matrix for a priori sensor connectivity using participant 1's sensor layout\n", - "con_matrixTuple = stats.con_matrix(preproc_S1, freqs_mean=psd1.freq_list)\n", - "ch_con_freq = con_matrixTuple.ch_con_freq\n", - "\n", - "# Create two fake groups by replicating the PSD data and adding a small noise\n", - "noise_level = 1e-6 # Small noise to break exact duplicates\n", - "data_group = [\n", - " np.array([psd1.psd + np.random.normal(0, noise_level, psd1.psd.shape) for _ in range(3)]),\n", - " np.array([psd2.psd + np.random.normal(0, noise_level, psd2.psd.shape) for _ in range(3)])\n", - "]\n", - "\n", - "# Perform non-parametric cluster-based permutation test on the fake groups\n", - "statscondCluster = stats.statscondCluster(\n", - " data=data_group,\n", - " freqs_mean=psd1.freq_list,\n", - " ch_con_freq=scipy.sparse.bsr_matrix(ch_con_freq),\n", - " tail=1,\n", - " n_permutations=5000,\n", - " alpha=0.05\n", - ")\n", - "print('Cluster-based permutation test for PSD completed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "SjqeFyuvztQN" - }, - "source": [ - "### Comparing Intra-Brain Connectivity Between Participants\n", - "\n", - "We now compute a connectivity matrix for intra-brain connectivity and perform a cluster-based permutation test comparing the two participants. \n", - "\n", - "Again, we generate two fake groups by replicating each participant’s intra-brain connectivity data and adding noise.\n", - "\n", - "Note that for connectivity, values are computed for every integer in the frequency bin from fmin to fmax, freqs_mean=np.arange(fmin, fmax) whereas in PSD it depends on the n_fft parameter psd.freq_list\n", - "\n", - "For CSD, values are averaged across each frequencies so you do not need to take frequency into account to correct clusters" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 285, - "status": "ok", - "timestamp": 1655930519902, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "FX590l_izvaY", - "outputId": "351b4d0e-ab43-4c68-8abb-151fe4682cd1" - }, - "outputs": [], - "source": [ - "# Create connectivity matrix for intra-brain connectivity\n", - "con_matrixTuple = stats.con_matrix(\n", - " epochs=preproc_S1,\n", - " freqs_mean=np.arange(7.5, 11),\n", - " draw=False\n", - ")\n", - "\n", - "ch_con = con_matrixTuple.ch_con\n", - "\n", - "# Create fake groups for intra-brain connectivity analysis\n", - "Alpha_Low = [\n", - " np.array([\n", - " result_intra[0] + np.random.normal(0, noise_level, result_intra[0].shape),\n", - " result_intra[0] + np.random.normal(0, noise_level, result_intra[0].shape)\n", - " ]),\n", - " np.array([\n", - " result_intra[1] + np.random.normal(0, noise_level, result_intra[1].shape),\n", - " result_intra[1] + np.random.normal(0, noise_level, result_intra[1].shape)\n", - " ])\n", - "]\n", - "\n", - "# Run cluster-based permutation test for intra-brain connectivity\n", - "statscondCluster_intra = stats.statscondCluster(\n", - " data=Alpha_Low,\n", - " freqs_mean=np.arange(7.5, 11),\n", - " ch_con_freq=scipy.sparse.bsr_matrix(ch_con),\n", - " tail=1,\n", - " n_permutations=5000,\n", - " alpha=0.05\n", - ")\n", - "print('Intra-brain connectivity cluster test completed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "m1vGH36V0GWz" - }, - "source": [ - "### Comparing Inter-Brain Connectivity to Random Signal\n", - "\n", - "Finally, we compare inter-brain connectivity values to a random signal. In this case, no a priori connectivity matrix is used between the two participants. We again create fake groups and run the permutation test." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 240, - "referenced_widgets": [ - "dd43c472378f4ab6a7919db021571fb2", - "b0f7ae38551d420c86a71895dd834744", - "b24d8012960d441ea1a9a442216989e2", - "e0829fe70b7c42c2930814e9821a3cc4", - "4d727918c7304e44926ac4cf8d29950b", - "b78083b7650941fbaab111a7d0f9a270", - "242daf6db30545749f6f29586b652c70", - "1a403754dd43403ca89582c07b76b68f", - "bbd9f3322a6b43d3ae69f93533361455", - "0aa420e5213e4bdf998c3a5e38f5ab39", - "df3385836929484d9257154fca1fb255" - ] - }, - "executionInfo": { - "elapsed": 2124, - "status": "ok", - "timestamp": 1655930543776, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "iMRLQbcp0Ix3", - "outputId": "e8bea9f6-f0ae-44e9-dfcc-5cb0ce567d1f" - }, - "outputs": [], - "source": [ - "# Create fake groups for inter-brain connectivity analysis\n", - "data = [\n", - " np.array([\n", - " values, \n", - " values + np.random.normal(0, 1e-6, values.shape)\n", - " ]), \n", - " np.array([\n", - " result_intra[0], \n", - " result_intra[0] + np.random.normal(0, 1e-6, result_intra[0].shape)\n", - " ])\n", - "]\n", - "\n", - "print(len(data[0][0]), len(data[0][1]), len(data[1][0]), len(data[1][1]))\n", - "\n", - "\n", - "# Run cluster-based permutation test for inter-brain connectivity without connectivity priors\n", - "statscondCluster = stats.statscondCluster(\n", - " data=data,\n", - " freqs_mean=np.linspace(7.5, 11, data[0].shape[-1]),\n", - " ch_con_freq=None,\n", - " tail=0,\n", - " n_permutations=5000,\n", - " alpha=0.05\n", - ")\n", - "print('Inter-brain connectivity cluster test completed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "z48QVQbd0MqS" - }, - "source": [ - "## Visualization\n", - "\n", - "In this final section, we visualize the statistical results and connectivity maps. We use HyPyP visualization functions to:\n", - "\n", - "- Plot sensor-level T-values for all sensors and for only significant sensors.\n", - "- Visualize inter-brain connectivity on 2D and 3D head models.\n", - "- Visualize intra-brain connectivity for each participant in both 2D and 3D.\n", - "\n", - "Note: We manually specify bad channels for visualization purposes." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "executionInfo": { - "elapsed": 182, - "status": "ok", - "timestamp": 1655930547067, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "iibgjO7m0Wbm" - }, - "outputs": [], - "source": [ - "# Plot sensor-level T-values using the t-statistics computed earlier\n", - "viz.plot_significant_sensors(\n", - " T_obs_plot=statsCondTuple.T_obs,\n", - " epochs=preproc_S1\n", - ")\n", - "print('Sensor-level T-values plotted.')" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 268 - }, - "executionInfo": { - "elapsed": 198, - "status": "ok", - "timestamp": 1655930548630, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "ovHmQUiw0ii4", - "outputId": "c58ac0c0-843b-4ee7-f8d7-e4120cb7b988" - }, - "outputs": [], - "source": [ - "# Plot only the T-values for sensors that are statistically significant\n", - "viz.plot_significant_sensors(\n", - " T_obs_plot=statsCondTuple.T_obs_plot,\n", - " epochs=preproc_S1\n", - ")\n", - "print('Significant sensors T-values plotted.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "WtL6AznE0qpC" - }, - "source": [ - "### Visulization of inter-brain links projected\n", - "on either 2D or 3D head models\n", - "\n", - "It can be applied to Cohen’s D (C as done here) or statistical values (statscondCluster.F_obs or F_obs_plot) of inter-individual brain connectivity\n", - "\n", - "We can defining manually bad channel for viz test:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "executionInfo": { - "elapsed": 142, - "status": "ok", - "timestamp": 1655930553054, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "TIDFZpMj0tYT" - }, - "outputs": [], - "source": [ - "epo1.info['bads'] = ['F8', 'Fp2', 'Cz', 'O2']\n", - "epo2.info['bads'] = ['F7', 'O1']" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "TjtaT3sU0zBY" - }, - "source": [ - "### Visualisation of brain connectivity in 2D and 3D\n", - "Defining head model and adding sensors\n", - "\n", - "Warning, threshold='auto' must be used carefully, it is calculated specifically for the dyad, and therefore does not allow comparability between different dyads." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Ex7kte2z04RJ" - }, - "source": [ - "#### Visualization of inter-brain connectivity in 2D" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "NBgcVHZv1uTb" - }, - "source": [ - "Inter-brain Hilbert-based connectivity" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 255 - }, - "executionInfo": { - "elapsed": 1471, - "status": "ok", - "timestamp": 1655931287231, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "1-QkjyZ40_Rs", - "outputId": "0b14a3f9-322f-4711-88b9-8fec96708826" - }, - "outputs": [], - "source": [ - "viz.viz_2D_topomap_inter(epo1, epo2, C, threshold='auto', steps=10, lab=True)" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "-DNnKRHx1HY-" - }, - "source": [ - "#### Visualization of inter-brain connectivity in 3D" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "5uow5QT5T-5c" - }, - "source": [ - "Inter-brain Hilbert-based connectivity\n" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 314 - }, - "executionInfo": { - "elapsed": 6745, - "status": "ok", - "timestamp": 1655932494521, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "EDB-5BukUQL1", - "outputId": "479faa32-34e4-4482-a50b-90136f7ebf82" - }, - "outputs": [], - "source": [ - "viz.viz_3D_inter(epo1, epo2, C, threshold='auto', steps=10, lab=False)\n", - "print('3D inter-brain connectivity visualization completed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "2nqp2oLu1TkN" - }, - "source": [ - "#### Visualization of intra-brain connectivity in 2D" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Mv-6VKM_56OE" - }, - "source": [ - "Intra-brain Hilbert-based connectivity" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 199 - }, - "executionInfo": { - "elapsed": 606, - "status": "ok", - "timestamp": 1655932584666, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "9_6MkhjD1SqY", - "outputId": "fdd40d0e-4252-4628-ad78-65b78026f9cc" - }, - "outputs": [], - "source": [ - "viz.viz_2D_topomap_intra(epo1, epo2,\n", - " C1= result_intra[0],\n", - " C2= result_intra[1],\n", - " threshold='auto',\n", - " steps=2,\n", - " lab=False)\n", - "\n", - "print('2D intra-brain connectivity map plotted.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "-LNYHbm21a__" - }, - "source": [ - "#### Visualization of intra-brain connectivity in 3D" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "xhxEcfMBU1Gw" - }, - "source": [ - "Intra-brain Hilbert-based connectivity" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 314 - }, - "executionInfo": { - "elapsed": 7843, - "status": "ok", - "timestamp": 1655932619684, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "_osUT5sk1fOQ", - "outputId": "d03b89fd-689f-4e52-90f4-fe817cdc0428" - }, - "outputs": [], - "source": [ - "viz.viz_3D_intra(epo1, epo2,\n", - " C1= result_intra[0],\n", - " C2= result_intra[1],\n", - " threshold='auto',\n", - " steps=10,\n", - " lab=False,\n", - " )\n", - "\n", - "print('3D intra-brain connectivity visualization completed.')" - ] - } - ], - "metadata": { - "colab": { - "collapsed_sections": [], - "name": "getting_started.ipynb", - "provenance": [] - }, - "kernelspec": { - "display_name": "hypyp-env", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.14" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -} \ No newline at end of file diff --git a/getting_started_merged.ipynb b/getting_started_merged.ipynb new file mode 100644 index 0000000..77effb8 --- /dev/null +++ b/getting_started_merged.ipynb @@ -0,0 +1,2230 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# 🧹 *****BrainHack Montreal 2026*****\n", + "\n", + "Contributor: Joaquim Streicher\n", + "\n", + "Date: 2026-01-28\n", + "\n", + "## ***Main modifications***\n", + "I tried to merge the three following tutorials into one:\n", + "\n", + "https://github.com/ppsp-team/HyPyP/blob/master/tutorial/getting_started.ipynb\n", + "\n", + "https://github.com/ppsp-team/workshops/blob/practicalmeeg-2025/01_-_Short_Getting_Started.ipynb\n", + "\n", + "https://github.com/Ramdam17/ConnectivityMetricsTutorials/tree/main\n", + "\n", + "I also attempted to simplify steps to make it more straight-to-the-point for a total beginner.\n", + "\n", + "Main changes include:\n", + "1. Using simulated data instead of imported non-hyperscanning data.\n", + "2. ICA simplified so that user does not have to manually select anything." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "y-pfFSz18Q4H" + }, + "source": [ + "# HyPyP Demonstration Notebook\n", + "\n", + "Authors : Guillaume Dumas, Anaël Ayrolles, Florence Brun\n", + "\n", + "Date : 2022-11-03\n", + "\n", + "This notebook demonstrates the basic functionalities of the [HyPyP](https://github.com/ppsp-team/HyPyP/tree/master) library for hyperscanning EEG analysis. \n", + "\n", + "In this notebook we:\n", + "- **Load libraries** for core operations, data science, visualization, and EEG analysis (using MNE).\n", + "- **Set analysis parameters** such as frequency bands.\n", + "- **Load and preprocess data** (including ICA correction and autoreject) for two participants.\n", + "- **Perform analyses** such as power spectral density (PSD) estimation and connectivity analysis.\n", + "- **Run statistical tests** (parametric and non-parametric cluster-based permutations) on the computed data.\n", + "- **Visualize** the results with sensor maps and connectivity projections in both 2D and 3D.\n", + "\n", + "The expected outputs are cleaned EEG epochs, PSD values, connectivity matrices, statistical test results, and visualizations that help interpret inter- and intra-brain connectivity." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "A4IgW3om9IU0" + }, + "source": [ + "## Load useful libs" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "k8CzpXYK-r3e" + }, + "source": [ + "### Core" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "***JS modifs: Deleted unused libraries***" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 156, + "status": "ok", + "timestamp": 1655930106982, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "vo3ERaid-iPl", + "outputId": "f05795e1-7150-4a01-fa69-97163463cdb1" + }, + "outputs": [], + "source": [ + "from copy import copy\n", + "from collections import OrderedDict\n", + "import requests\n", + "import tempfile # For creating temporary files" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "znOQzh9r-1Yx" + }, + "source": [ + "### Data science" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": { + "executionInfo": { + "elapsed": 129, + "status": "ok", + "timestamp": 1655930432883, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "7ucpsQ-B-3gW" + }, + "outputs": [], + "source": [ + "import numpy as np # JS: maybe not necessary\n", + "import scipy" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "sW7qWiIs-7O6" + }, + "source": [ + "### Visualization" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "executionInfo": { + "elapsed": 7074, + "status": "ok", + "timestamp": 1655930117639, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "Td3SvvL5-_ZS" + }, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Dhe5T4sg_pLL" + }, + "source": [ + "### MNE" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "executionInfo": { + "elapsed": 9, + "status": "ok", + "timestamp": 1655930117640, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "44EAOkjB_tSD" + }, + "outputs": [], + "source": [ + "import mne" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [], + "source": [ + "from mne.preprocessing import ICA" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "11_d8YYB_xAH" + }, + "source": [ + "### HyPyP" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "executionInfo": { + "elapsed": 9, + "status": "ok", + "timestamp": 1655930117642, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "KbeUfCja_0e6" + }, + "outputs": [], + "source": [ + "from hypyp import prep \n", + "from hypyp import analyses\n", + "from hypyp import stats\n", + "from hypyp import viz" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### ICA" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + "\n", + " Click here if you need to install mne-icalabel \n", + "\n", + "conda install -c conda-forge mne-icalabel" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "import mne_icalabel\n", + "from mne_icalabel import label_components" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "GhNB0IGwBIH7" + }, + "source": [ + "## Setting Analysis Parameters\n", + "\n", + "We define the frequency bands used in the study. Here we use two bands within the Alpha range. We also use an `OrderedDict` to preserve the order of the bands.\n", + "\n", + "# ***JS modifs & suggestions:***\n", + "- Could explain more why selected bands\n", + "- Unclear why OrderedDict." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "executionInfo": { + "elapsed": 155, + "status": "ok", + "timestamp": 1655930118883, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "Hra1lCwpBMmX" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Frequency bands: OrderedDict([('Alpha-Low', [7.5, 11]), ('Alpha-High', [11.5, 13])])\n" + ] + } + ], + "source": [ + "# Define frequency bands as a dictionary\n", + "freq_bands = {\n", + " 'Alpha-Low': [7.5, 11],\n", + " 'Alpha-High': [11.5, 13]\n", + "}\n", + "\n", + "# Convert to an OrderedDict to keep the defined order\n", + "freq_bands = OrderedDict(freq_bands)\n", + "print('Frequency bands:', freq_bands)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "MqKQJkbyDztm" + }, + "source": [ + "# ***JS: USE SIMULATED DATA INSTEAD***\n", + "\n", + "## Loading Data \n", + "\n", + "In this section we download the EEG datasets for two participants, convert them to MNE Epochs, and equalize the number of epochs across participants. \n", + "\n", + "The function `get_data` downloads a dataset from a given URL and saves it to a temporary file with an MNE-compatible filename." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 2738, + "status": "ok", + "timestamp": 1655930127424, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "ZQKz8DmyEJdD", + "outputId": "2cf8461d-e2de-4e56-be9f-ec00f393bcaf" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Reading C:\\Users\\Joaquim\\AppData\\Local\\Temp\\tmp3p1fm_zs-epo.fif ...\n", + " Found the data of interest:\n", + " t = -500.00 ... 500.00 ms\n", + " 0 CTF compensation matrices available\n", + "Not setting metadata\n", + "260 matching events found\n", + "No baseline correction applied\n", + "0 projection items activated\n", + "Reading C:\\Users\\Joaquim\\AppData\\Local\\Temp\\tmp52nyybdb-epo.fif ...\n", + " Found the data of interest:\n", + " t = -500.00 ... 500.00 ms\n", + " 0 CTF compensation matrices available\n", + "Not setting metadata\n", + "36 matching events found\n", + "No baseline correction applied\n", + "0 projection items activated\n" + ] + } + ], + "source": [ + "# Template URL for downloading participant data\n", + "URL_TEMPLATE = \"https://github.com/ppsp-team/HyPyP/blob/master/data/participant{}-epo.fif?raw=true\"\n", + "\n", + "def get_data(idx):\n", + " \"\"\"\n", + " Download EEG data for a given participant index and save it to a temporary file.\n", + " \n", + " Parameters:\n", + " idx (int): Participant index number.\n", + " \n", + " Returns:\n", + " str: File path of the temporary file containing the EEG data.\n", + " \"\"\"\n", + " \n", + " # Format the URL with the participant index\n", + " url = URL_TEMPLATE.format(idx)\n", + " \n", + " # Download the data\n", + " response = requests.get(url)\n", + " \n", + " # Save the content to a temporary file with the suffix '-epo.fif'\n", + " temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=\"-epo.fif\")\n", + " temp_file.write(response.content)\n", + " temp_file.close()\n", + " \n", + " return temp_file.name\n", + "\n", + "# Load epochs for two participants using MNE\n", + "epo1 = mne.read_epochs(\n", + " get_data(1),\n", + " preload=True,\n", + ") \n", + "\n", + "epo2 = mne.read_epochs(\n", + " get_data(2),\n", + " preload=True,\n", + ")" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "CySwVIa4FYTg" + }, + "source": [ + "Since our example dataset was not initially dedicated to hyperscanning, we need to equalize the number of epochs between our two participants.\n", + "\n", + "# JS: change!" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 276, + "status": "ok", + "timestamp": 1655930131060, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "_Sd3cH2vFcwP", + "outputId": "9d32b0e0-0b7f-4490-d9d9-26f51f96957d" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dropped 224 epochs: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 117, 118, 119, 120, 121, 122, 125, 126, 127, 128, 130, 131, 134, 135, 136, 137, 138, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 172, 173, 175, 176, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 219, 220, 221, 222, 223, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259\n", + "Dropped 0 epochs: \n", + "Sampling rate: 500.0\n" + ] + } + ], + "source": [ + "# Equalize the number of epochs between participants\n", + "mne.epochs.equalize_epoch_counts([epo1, epo2])\n", + "\n", + "# Define sampling frequency from the first participant's data\n", + "sampling_rate = epo1.info['sfreq']\n", + "print('Sampling rate:', sampling_rate)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "FILTERS" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "6-4jzVNbGs4R" + }, + "source": [ + "## Preprocessing Epochs\n", + "\n", + "### ICA Correction \n", + "\n", + "We perform Independent Component Analysis (ICA) on the data from both participants to identify and remove artefactual components. First, we compute the ICA using the HyPyP function `ICA_fit` and then choose the relevant components for artefact rejection using `ICA_choice_comp`." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "
\n", + " If you want to know more about ICA click here \n", + "\n", + "ICA could be done\n", + "\n", + "You can also use the mne-icalabel to automatically detect the not brain related components. Since this library depends on machine learning frameworks with complicated dependancies, we did not include it in the base requirements of HyPyP. If you want to test this automated approach of ICA annotation, just install it using ```pip install mne-icalabel``` and use the function below:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], + "source": [ + "def ICA_autocorrect(icas: list, epochs: list, verbose: bool = False) -> list:\n", + " \"\"\"\n", + " Automatically detect the ICA components that are not brain related and remove them.\n", + "\n", + " Arguments:\n", + " icas: list of Independent Components for each participant (IC are MNE\n", + " objects).\n", + " epochs: list of 2 Epochs objects (for each participant). Epochs_S1\n", + " and Epochs_S2 correspond to a condition and can result from the\n", + " concatenation of Epochs from different experimental realisations\n", + " of the condition.\n", + " Epochs are MNE objects: data are stored in an array of shape\n", + " (n_epochs, n_channels, n_times) and parameters information is\n", + " stored in a disctionnary.\n", + " verbose: option to plot data before and after ICA correction, \n", + " boolean, set to False by default. \n", + "\n", + " Returns:\n", + " cleaned_epochs_ICA: list of 2 cleaned Epochs for each participant\n", + " (the non-brain related IC have been removed from the signal).\n", + " \"\"\"\n", + "\n", + " cleaned_epochs_ICA = []\n", + " for ica, epoch in zip(icas, epochs):\n", + " ica_with_labels_fitted = label_components(epoch, ica, method=\"iclabel\")\n", + " ica_with_labels_component_detected = ica_with_labels_fitted[\"labels\"]\n", + " # Remove non-brain components (take only brain components for each subject)\n", + " excluded_idx_components = [idx for idx, label in enumerate(ica_with_labels_component_detected) if label not in [\"brain\"]]\n", + " cleaned_epoch_ICA = mne.Epochs.copy(epoch)\n", + " cleaned_epoch_ICA.info['bads'] = []\n", + " ica.apply(cleaned_epoch_ICA, exclude=excluded_idx_components)\n", + " cleaned_epoch_ICA.info['bads'] = copy.deepcopy(epoch.info['bads'])\n", + " cleaned_epochs_ICA.append(cleaned_epoch_ICA)\n", + "\n", + " if verbose:\n", + " epoch.plot(title='Before ICA correction', show=True)\n", + " cleaned_epoch_ICA.plot(title='After ICA correction',show=True)\n", + " return cleaned_epochs_ICA" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Estimating rejection dictionary for eeg\n", + "The rejection dictionary is {'eeg': np.float64(0.00010129807784293706)}\n", + "0 bad epochs dropped\n", + "Fitting ICA to data using 31 channels (please be patient, this may take a while)\n", + "Selecting by number: 15 components\n", + "Computing Extended Infomax ICA\n", + "Fitting ICA took 5.2s.\n", + "Estimating rejection dictionary for eeg\n", + "The rejection dictionary is {'eeg': np.float64(4.747409473367548e-05)}\n", + " Rejecting epoch based on EEG : ['Fp1', 'F7', 'FT10', 'T8', 'TP10']\n", + " Rejecting epoch based on EEG : ['Fp1', 'FT10', 'TP10', 'O1']\n", + " Rejecting epoch based on EEG : ['Fp1', 'FT10']\n", + " Rejecting epoch based on EEG : ['O1']\n", + "4 bad epochs dropped\n", + "Fitting ICA to data using 31 channels (please be patient, this may take a while)\n", + "Selecting by number: 15 components\n", + "Computing Extended Infomax ICA\n", + "Fitting ICA took 5.6s.\n" + ] + } + ], + "source": [ + "icas = prep.ICA_fit([\n", + " epo1, epo2\n", + "],\n", + " n_components=15,\n", + " method='infomax',\n", + " fit_params=dict(extended=True),\n", + " random_state=42\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\Joaquim\\AppData\\Local\\Temp\\ipykernel_26308\\2745188928.py:25: RuntimeWarning: The provided Epochs instance is not filtered between 1 and 100 Hz. ICLabel was designed to classify features extracted from an EEG dataset bandpass filtered between 1 and 100 Hz (see the 'filter()' method for Raw and Epochs instances).\n", + " ica_with_labels_fitted = label_components(epoch, ica, method=\"iclabel\")\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Applying ICA to Epochs instance\n", + " Transforming to ICA space (15 components)\n", + " Zeroing out 10 ICA components\n", + " Projecting back using 31 PCA components\n" + ] + }, + { + "ename": "AttributeError", + "evalue": "'function' object has no attribute 'deepcopy'", + "output_type": "error", + "traceback": [ + "\u001b[31m---------------------------------------------------------------------------\u001b[39m", + "\u001b[31mAttributeError\u001b[39m Traceback (most recent call last)", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[18]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m cleaned_epochs_ICA = \u001b[43mICA_autocorrect\u001b[49m\u001b[43m(\u001b[49m\u001b[43micas\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43mepo1\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mepo2\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n", + "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[16]\u001b[39m\u001b[32m, line 32\u001b[39m, in \u001b[36mICA_autocorrect\u001b[39m\u001b[34m(icas, epochs, verbose)\u001b[39m\n\u001b[32m 30\u001b[39m cleaned_epoch_ICA.info[\u001b[33m'\u001b[39m\u001b[33mbads\u001b[39m\u001b[33m'\u001b[39m] = []\n\u001b[32m 31\u001b[39m ica.apply(cleaned_epoch_ICA, exclude=excluded_idx_components)\n\u001b[32m---> \u001b[39m\u001b[32m32\u001b[39m cleaned_epoch_ICA.info[\u001b[33m'\u001b[39m\u001b[33mbads\u001b[39m\u001b[33m'\u001b[39m] = \u001b[43mcopy\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdeepcopy\u001b[49m(epoch.info[\u001b[33m'\u001b[39m\u001b[33mbads\u001b[39m\u001b[33m'\u001b[39m])\n\u001b[32m 33\u001b[39m cleaned_epochs_ICA.append(cleaned_epoch_ICA)\n\u001b[32m 35\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m verbose:\n", + "\u001b[31mAttributeError\u001b[39m: 'function' object has no attribute 'deepcopy'" + ] + } + ], + "source": [ + "cleaned_epochs_ICA = ICA_autocorrect(icas, [epo1, epo2], verbose=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "t6ohyHwyM5_Q" + }, + "source": [ + "### Autoreject\n", + "\n", + "In this cell, we apply the local AutoReject algorithm using HyPyP. This step automatically rejects or interpolates bad epochs/channels while ensuring that the same channels/epochs are removed across participants. Verbose output provides a before/after comparison." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000, + "referenced_widgets": [ + "8d3b374a199340a1aaae30cdfcbd2f3a", + "d1503a246d2144718a66002ae1ccd369", + "9c460121a3564ae9955ca30d3045a4cb", + "cf8222dc26fc44b186b8945fa9fc609a", + "6c3135af182045449e9efdc2ccc1cd9c", + "791792fcc7164fe98c0e2676b400286f", + "7af8b530217e423a8a4c78435c01ed32", + "d7463bb385ff4178baa222c7ca0d7097", + "6aff82fd480f4955a46e237e6c3bbdb5", + "fc2cfc3a28444dd6b76efb2d71f92bbb", + "95c2d620592a4c66a60a96a71393d127", + "f35b4ebc653942b4bed2957222b2c040", + "55807a677ed14ef18e529c65a787d0e0", + "b91d73ded847438c874f812ce0025a12", + "992811ccbbd748e1b37433eb5fcd2dfe", + "1194de640c2c40de95bbef7792d90a62", + "18e16d7d3fd7462c924dae3ecd172666", + "0305e4c99c3d45ea9103924b8879c60b", + "2c3e178d32874aa298f15d90f4589646", + "40e340b7ae61499ea7eec6759bc65261", + 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TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running autoreject on ch_type=eeg\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| Creating augmented epochs : 31/31 [00:02<00:00, 13.03it/s]\n", + "100%|██████████| Computing thresholds ... : 31/31 [00:01<00:00, 16.32it/s]\n", + "\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "100%|██████████| Repairing epochs : 36/36 [00:00<00:00, 253.98it/s]\n", + "\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "100%|██████████| Repairing epochs : 36/36 [00:03<00:00, 11.47it/s]\n", + "\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "100%|██████████| Fold : 10/10 [00:01<00:00, 8.19it/s]\n", + "\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "100%|██████████| Repairing epochs : 36/36 [00:03<00:00, 11.37it/s]\n", + "\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "\u001b[A\u001b[A\n", + "\n", + "100%|██████████| Fold : 10/10 [00:00<00:00, 10.38it/s]\n", + "\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "\u001b[A\n", + "100%|██████████| Repairing epochs : 36/36 [00:02<00:00, 13.73it/s]\n", + "\n", + "\n", + "100%|██████████| Fold : 10/10 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NOTE: pick_types() is a legacy function. New code should use inst.pick(...).\n", + "NOTE: pick_types() is a legacy function. New code should use inst.pick(...).\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "AutoReject completed.\n" + ] + }, + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Apply local AutoReject on the ICA-cleaned epochs\n", + "cleaned_epochs_AR, dic_AR = prep.AR_local(\n", + " cleaned_epochs_ICA,\n", + " strategy=\"union\",\n", + " threshold=50.0,\n", + " verbose=True\n", + ")\n", + "print('AutoReject completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "yIzhL56sPBW7" + }, + "source": [ + "### Picking Preprocessed Epochs\n", + "\n", + "After cleaning, we separate the preprocessed epochs for each participant for further analysis." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "executionInfo": { + "elapsed": 177, + "status": "ok", + "timestamp": 1655930418700, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "gNHNKB0wPNOC" + }, + "outputs": [], + "source": [ + "# Assign cleaned epochs to individual participant variables\n", + "preproc_S1 = cleaned_epochs_AR[0]\n", + "preproc_S2 = cleaned_epochs_AR[1]\n", + "print('Preprocessed epochs for both participants are ready.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "lz1mu3DMQUdP" + }, + "source": [ + "## Analysing Data: Welch Power Spectral Density (PSD)\n", + "\n", + "Here we compute the PSD for each participant in the Alpha-Low band using the HyPyP `analyses.pow` function. The PSD values are averaged across epochs." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 191, + "status": "ok", + "timestamp": 1655930441498, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "vYrIa3VrLtKu", + "outputId": "b4bfbaa7-031c-4a54-ae3e-e55620bb9b94" + }, + "outputs": [], + "source": [ + "# Compute PSD for participant 1 in the Alpha-Low band\n", + "psd1 = analyses.pow(\n", + " preproc_S1,\n", + " fmin=7.5,\n", + " fmax=11,\n", + " n_fft=1000,\n", + " n_per_seg=1000,\n", + " epochs_average=True\n", + ")\n", + "\n", + "# Compute PSD for participant 2 in the Alpha-Low band\n", + "psd2 = analyses.pow(\n", + " preproc_S2,\n", + " fmin=7.5,\n", + " fmax=11,\n", + " n_fft=1000,\n", + " n_per_seg=1000,\n", + " epochs_average=True\n", + ")\n", + "\n", + "# Combine PSD data into a single array\n", + "data_psd = np.array([psd1.psd, psd2.psd])\n", + "print('PSD analysis completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Hq2Cvg0uQ4NY" + }, + "source": [ + "## Connectivity Analysis\n", + "\n", + "In this section we compute brain connectivity metrics. \n", + "\n", + "1. We first compute the analytic signal per frequency band using `analyses.compute_freq_bands`.\n", + "2. Then, we compute connectivity (using the 'ccorr' mode) and average across epochs.\n", + "3. We slice the resulting connectivity matrices to extract both inter-brain (between participants) and intra-brain (within a participant) connectivity values.\n", + "4. A Z-score normalization is performed for illustration purposes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "executionInfo": { + "elapsed": 179, + "status": "ok", + "timestamp": 1655930449033, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "RhqMurdnMMHN" + }, + "outputs": [], + "source": [ + "# Prepare data for connectivity analysis (combine both participants)\n", + "data_inter = np.array([preproc_S1, preproc_S2])\n", + "result_intra = []\n", + "\n", + "# Compute the analytic signal in each frequency band\n", + "complex_signal = analyses.compute_freq_bands(\n", + " data_inter,\n", + " sampling_rate,\n", + " freq_bands,\n", + " filter_length=int(sampling_rate), # Adjust filter length based on sampling rate\n", + " l_trans_bandwidth=5.0, # Reduced transition bandwidth\n", + " h_trans_bandwidth=5.0\n", + ")\n", + "\n", + "# Compute connectivity using cross-correlation ('ccorr') and average across epochs\n", + "result = analyses.compute_sync(complex_signal, mode='ccorr', epochs_average=True)\n", + "\n", + "# Determine the number of channels\n", + "n_ch = len(epo1.info['ch_names'])\n", + "\n", + "# Slice the connectivity matrix to get inter-brain connectivity in the Alpha-Low band\n", + "alpha_low, alpha_high = result[:, 0:n_ch, n_ch:2*n_ch]\n", + "\n", + "# For further analysis, choose the Alpha-Low band values\n", + "values = alpha_low\n", + "\n", + "# Compute a Z-score normalized connectivity matrix\n", + "C = (values - np.mean(values[:])) / np.std(values[:])\n", + "\n", + "# Process intra-brain connectivity for each participant\n", + "for i in [0, 1]:\n", + " # Slice intra-brain connectivity matrix\n", + " alpha_low, alpha_high = result[:, (i * n_ch):((i + 1) * n_ch), (i * n_ch): ((i + 1) * n_ch)]\n", + " values_intra = alpha_low\n", + " \n", + " # Remove self-connections\n", + " values_intra -= np.diag(np.diag(values_intra))\n", + " \n", + " # Compute Z-score normalization for intra connectivity\n", + " C_intra = (values_intra - np.mean(values_intra[:])) / np.std(values_intra[:])\n", + " result_intra.append(C_intra)\n", + "\n", + "print('Connectivity analysis completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "0Z8lcGfAyXzt" + }, + "source": [ + "## Statistical Analyses\n", + "\n", + "We perform several statistical tests on the computed PSD and connectivity data. These include:\n", + "\n", + "- A parametric permutation t-test on the PSD values.\n", + "- Non-parametric cluster-based permutation tests for both PSD and connectivity data." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "UtFM0qsQyYFP" + }, + "source": [ + "#### 1/ MNE test without any correction\n", + "This function takes samples (observations) by number of tests (variables i.e. channels), thus PSD values are averaged in the frequency dimension\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 163, + "status": "ok", + "timestamp": 1655930502229, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "xz9Jme5wzPBc", + "outputId": "dd400a32-52a2-4c02-d5b9-0c3157cf1e60" + }, + "outputs": [], + "source": [ + "# Compute mean PSD values for each channel across epochs for both participants\n", + "psd1_mean = np.mean(psd1.psd, axis=1)\n", + "psd2_mean = np.mean(psd2.psd, axis=1)\n", + "\n", + "# Combine the means into a single array for the t-test\n", + "X = np.array([psd1_mean, psd2_mean])\n", + "\n", + "# Perform permutation t-test (using MNE) without correction for multiple comparisons\n", + "T_obs, p_values, H0 = mne.stats.permutation_t_test(\n", + " X=X,\n", + " n_permutations=5000,\n", + " tail=0,\n", + " n_jobs=1\n", + ")\n", + "print('Permutation t-test completed.')\n", + "\n", + "# Alternatively, compute statistical conditions using HyPyP's statsCond function\n", + "statsCondTuple = stats.statsCond(\n", + " data=data_psd,\n", + " epochs=preproc_S1,\n", + " n_permutations=5000,\n", + " alpha=0.05\n", + ")\n", + "print('Statistical condition tuple computed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "ZhTWdXCVzbKd" + }, + "source": [ + "### Non-parametric Cluster-Based Permutations\n", + "\n", + "Here, we create a priori connectivity matrices based on sensor positions and then perform cluster-based permutation tests. \n", + "\n", + "In this example, we create two fake groups (by replicating each participant's PSD data with added noise) and run the permutation test." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 119, + "status": "ok", + "timestamp": 1655930509971, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "kW_LW9hYzW03", + "outputId": "d4816cab-e1dd-44f3-e553-25a1d1311836" + }, + "outputs": [], + "source": [ + "# Create connectivity matrix for a priori sensor connectivity using participant 1's sensor layout\n", + "con_matrixTuple = stats.con_matrix(preproc_S1, freqs_mean=psd1.freq_list)\n", + "ch_con_freq = con_matrixTuple.ch_con_freq\n", + "\n", + "# Create two fake groups by replicating the PSD data and adding a small noise\n", + "noise_level = 1e-6 # Small noise to break exact duplicates\n", + "data_group = [\n", + " np.array([psd1.psd + np.random.normal(0, noise_level, psd1.psd.shape) for _ in range(3)]),\n", + " np.array([psd2.psd + np.random.normal(0, noise_level, psd2.psd.shape) for _ in range(3)])\n", + "]\n", + "\n", + "# Perform non-parametric cluster-based permutation test on the fake groups\n", + "statscondCluster = stats.statscondCluster(\n", + " data=data_group,\n", + " freqs_mean=psd1.freq_list,\n", + " ch_con_freq=scipy.sparse.bsr_matrix(ch_con_freq),\n", + " tail=1,\n", + " n_permutations=5000,\n", + " alpha=0.05\n", + ")\n", + "print('Cluster-based permutation test for PSD completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "SjqeFyuvztQN" + }, + "source": [ + "### Comparing Intra-Brain Connectivity Between Participants\n", + "\n", + "We now compute a connectivity matrix for intra-brain connectivity and perform a cluster-based permutation test comparing the two participants. \n", + "\n", + "Again, we generate two fake groups by replicating each participant’s intra-brain connectivity data and adding noise.\n", + "\n", + "Note that for connectivity, values are computed for every integer in the frequency bin from fmin to fmax, freqs_mean=np.arange(fmin, fmax) whereas in PSD it depends on the n_fft parameter psd.freq_list\n", + "\n", + "For CSD, values are averaged across each frequencies so you do not need to take frequency into account to correct clusters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "executionInfo": { + "elapsed": 285, + "status": "ok", + "timestamp": 1655930519902, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "FX590l_izvaY", + "outputId": "351b4d0e-ab43-4c68-8abb-151fe4682cd1" + }, + "outputs": [], + "source": [ + "# Create connectivity matrix for intra-brain connectivity\n", + "con_matrixTuple = stats.con_matrix(\n", + " epochs=preproc_S1,\n", + " freqs_mean=np.arange(7.5, 11),\n", + " draw=False\n", + ")\n", + "\n", + "ch_con = con_matrixTuple.ch_con\n", + "\n", + "# Create fake groups for intra-brain connectivity analysis\n", + "Alpha_Low = [\n", + " np.array([\n", + " result_intra[0] + np.random.normal(0, noise_level, result_intra[0].shape),\n", + " result_intra[0] + np.random.normal(0, noise_level, result_intra[0].shape)\n", + " ]),\n", + " np.array([\n", + " result_intra[1] + np.random.normal(0, noise_level, result_intra[1].shape),\n", + " result_intra[1] + np.random.normal(0, noise_level, result_intra[1].shape)\n", + " ])\n", + "]\n", + "\n", + "# Run cluster-based permutation test for intra-brain connectivity\n", + "statscondCluster_intra = stats.statscondCluster(\n", + " data=Alpha_Low,\n", + " freqs_mean=np.arange(7.5, 11),\n", + " ch_con_freq=scipy.sparse.bsr_matrix(ch_con),\n", + " tail=1,\n", + " n_permutations=5000,\n", + " alpha=0.05\n", + ")\n", + "print('Intra-brain connectivity cluster test completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "m1vGH36V0GWz" + }, + "source": [ + "### Comparing Inter-Brain Connectivity to Random Signal\n", + "\n", + "Finally, we compare inter-brain connectivity values to a random signal. In this case, no a priori connectivity matrix is used between the two participants. We again create fake groups and run the permutation test." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 240, + "referenced_widgets": [ + "dd43c472378f4ab6a7919db021571fb2", + "b0f7ae38551d420c86a71895dd834744", + "b24d8012960d441ea1a9a442216989e2", + "e0829fe70b7c42c2930814e9821a3cc4", + "4d727918c7304e44926ac4cf8d29950b", + "b78083b7650941fbaab111a7d0f9a270", + "242daf6db30545749f6f29586b652c70", + "1a403754dd43403ca89582c07b76b68f", + "bbd9f3322a6b43d3ae69f93533361455", + "0aa420e5213e4bdf998c3a5e38f5ab39", + "df3385836929484d9257154fca1fb255" + ] + }, + "executionInfo": { + "elapsed": 2124, + "status": "ok", + "timestamp": 1655930543776, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "iMRLQbcp0Ix3", + "outputId": "e8bea9f6-f0ae-44e9-dfcc-5cb0ce567d1f" + }, + "outputs": [], + "source": [ + "# Create fake groups for inter-brain connectivity analysis\n", + "data = [\n", + " np.array([\n", + " values, \n", + " values + np.random.normal(0, 1e-6, values.shape)\n", + " ]), \n", + " np.array([\n", + " result_intra[0], \n", + " result_intra[0] + np.random.normal(0, 1e-6, result_intra[0].shape)\n", + " ])\n", + "]\n", + "\n", + "print(len(data[0][0]), len(data[0][1]), len(data[1][0]), len(data[1][1]))\n", + "\n", + "\n", + "# Run cluster-based permutation test for inter-brain connectivity without connectivity priors\n", + "statscondCluster = stats.statscondCluster(\n", + " data=data,\n", + " freqs_mean=np.linspace(7.5, 11, data[0].shape[-1]),\n", + " ch_con_freq=None,\n", + " tail=0,\n", + " n_permutations=5000,\n", + " alpha=0.05\n", + ")\n", + "print('Inter-brain connectivity cluster test completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "z48QVQbd0MqS" + }, + "source": [ + "## Visualization\n", + "\n", + "In this final section, we visualize the statistical results and connectivity maps. We use HyPyP visualization functions to:\n", + "\n", + "- Plot sensor-level T-values for all sensors and for only significant sensors.\n", + "- Visualize inter-brain connectivity on 2D and 3D head models.\n", + "- Visualize intra-brain connectivity for each participant in both 2D and 3D.\n", + "\n", + "Note: We manually specify bad channels for visualization purposes." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "executionInfo": { + "elapsed": 182, + "status": "ok", + "timestamp": 1655930547067, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "iibgjO7m0Wbm" + }, + "outputs": [], + "source": [ + "# Plot sensor-level T-values using the t-statistics computed earlier\n", + "viz.plot_significant_sensors(\n", + " T_obs_plot=statsCondTuple.T_obs,\n", + " epochs=preproc_S1\n", + ")\n", + "print('Sensor-level T-values plotted.')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 268 + }, + "executionInfo": { + "elapsed": 198, + "status": "ok", + "timestamp": 1655930548630, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "ovHmQUiw0ii4", + "outputId": "c58ac0c0-843b-4ee7-f8d7-e4120cb7b988" + }, + "outputs": [], + "source": [ + "# Plot only the T-values for sensors that are statistically significant\n", + "viz.plot_significant_sensors(\n", + " T_obs_plot=statsCondTuple.T_obs_plot,\n", + " epochs=preproc_S1\n", + ")\n", + "print('Significant sensors T-values plotted.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "WtL6AznE0qpC" + }, + "source": [ + "### Visulization of inter-brain links projected\n", + "on either 2D or 3D head models\n", + "\n", + "It can be applied to Cohen’s D (C as done here) or statistical values (statscondCluster.F_obs or F_obs_plot) of inter-individual brain connectivity\n", + "\n", + "We can defining manually bad channel for viz test:" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "executionInfo": { + "elapsed": 142, + "status": "ok", + "timestamp": 1655930553054, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "TIDFZpMj0tYT" + }, + "outputs": [], + "source": [ + "epo1.info['bads'] = ['F8', 'Fp2', 'Cz', 'O2']\n", + "epo2.info['bads'] = ['F7', 'O1']" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "TjtaT3sU0zBY" + }, + "source": [ + "### Visualisation of brain connectivity in 2D and 3D\n", + "Defining head model and adding sensors\n", + "\n", + "Warning, threshold='auto' must be used carefully, it is calculated specifically for the dyad, and therefore does not allow comparability between different dyads." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Ex7kte2z04RJ" + }, + "source": [ + "#### Visualization of inter-brain connectivity in 2D" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "NBgcVHZv1uTb" + }, + "source": [ + "Inter-brain Hilbert-based connectivity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 255 + }, + "executionInfo": { + "elapsed": 1471, + "status": "ok", + "timestamp": 1655931287231, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "1-QkjyZ40_Rs", + "outputId": "0b14a3f9-322f-4711-88b9-8fec96708826" + }, + "outputs": [], + "source": [ + "viz.viz_2D_topomap_inter(epo1, epo2, C, threshold='auto', steps=10, lab=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "-DNnKRHx1HY-" + }, + "source": [ + "#### Visualization of inter-brain connectivity in 3D" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "5uow5QT5T-5c" + }, + "source": [ + "Inter-brain Hilbert-based connectivity\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 314 + }, + "executionInfo": { + "elapsed": 6745, + "status": "ok", + "timestamp": 1655932494521, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "EDB-5BukUQL1", + "outputId": "479faa32-34e4-4482-a50b-90136f7ebf82" + }, + "outputs": [], + "source": [ + "viz.viz_3D_inter(epo1, epo2, C, threshold='auto', steps=10, lab=False)\n", + "print('3D inter-brain connectivity visualization completed.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "2nqp2oLu1TkN" + }, + "source": [ + "#### Visualization of intra-brain connectivity in 2D" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "Mv-6VKM_56OE" + }, + "source": [ + "Intra-brain Hilbert-based connectivity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 199 + }, + "executionInfo": { + "elapsed": 606, + "status": "ok", + "timestamp": 1655932584666, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "9_6MkhjD1SqY", + "outputId": "fdd40d0e-4252-4628-ad78-65b78026f9cc" + }, + "outputs": [], + "source": [ + "viz.viz_2D_topomap_intra(epo1, epo2,\n", + " C1= result_intra[0],\n", + " C2= result_intra[1],\n", + " threshold='auto',\n", + " steps=2,\n", + " lab=False)\n", + "\n", + "print('2D intra-brain connectivity map plotted.')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "-LNYHbm21a__" + }, + "source": [ + "#### Visualization of intra-brain connectivity in 3D" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "id": "xhxEcfMBU1Gw" + }, + "source": [ + "Intra-brain Hilbert-based connectivity" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 314 + }, + "executionInfo": { + "elapsed": 7843, + "status": "ok", + "timestamp": 1655932619684, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "_osUT5sk1fOQ", + "outputId": "d03b89fd-689f-4e52-90f4-fe817cdc0428" + }, + "outputs": [], + "source": [ + "viz.viz_3D_intra(epo1, epo2,\n", + " C1= result_intra[0],\n", + " C2= result_intra[1],\n", + " threshold='auto',\n", + " steps=10,\n", + " lab=False,\n", + " )\n", + "\n", + "print('3D intra-brain connectivity visualization completed.')" + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [], + "name": "getting_started.ipynb", + "provenance": [] + }, + "kernelspec": { + "display_name": "hypyp-env", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + 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    ExperimenterUnknown
    ParticipantUnknown
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    " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Set montage\n", + "montage = mne.channels.make_standard_montage('GSN-HydroCel-129')\n", + "raw.set_montage(montage, on_missing='ignore')" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "2ea94104", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filtering raw data in 1 contiguous segment\n", + "Setting up band-stop filter\n", + "\n", + "FIR filter parameters\n", + "---------------------\n", + "Designing a one-pass, zero-phase, non-causal bandstop filter:\n", + "- Windowed time-domain design (firwin) method\n", + "- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation\n", + "- Lower transition bandwidth: 0.50 Hz\n", + "- Upper transition bandwidth: 0.50 Hz\n", + "- Filter length: 6601 samples (6.601 s)\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=1)]: Done 17 tasks | elapsed: 0.0s\n", + "[Parallel(n_jobs=1)]: Done 71 tasks | elapsed: 0.1s\n", + "[Parallel(n_jobs=1)]: Done 129 out of 129 | elapsed: 0.1s finished\n" + ] + }, + { + "data": { + "text/html": [ + "
    \n", + " General\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    Measurement dateDecember 13, 2018 00:10:09 GMT
    ExperimenterUnknown
    ParticipantUnknown
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    Digitized points131 points
    Good channels129 EEG, 2 Stimulus
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    " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Notch filter (60Hz line noise)\n", + "raw.notch_filter(freqs=np.arange(60, 241, 60), picks=['eeg'])" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "35e824a8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NOTE: pick_types() is a legacy function. New code should use inst.pick(...).\n", + "NOTE: pick_types() is a legacy function. New code should use inst.pick(...).\n" + ] + } + ], + "source": [ + "# Detect bad channels\n", + "data = raw.copy().pick_types(eeg=True).get_data()\n", + "ch_std = data.std(axis=1) + np.finfo(float).eps\n", + "log_std = -np.log(ch_std)\n", + "threshold_flat = np.mean(log_std) + 3 * np.std(log_std)\n", + "bad_idx_flat = np.where(log_std > threshold_flat)[0]\n", + "threshold_noise = np.mean(ch_std) + 3 * np.std(ch_std)\n", + "bad_idx_noise = np.where(ch_std > threshold_noise)[0]\n", + "bad_idx = np.unique(np.concatenate([bad_idx_flat, bad_idx_noise]))\n", + "eeg_names = raw.copy().pick_types(eeg=True).ch_names\n", + "raw.info['bads'] = list(set(raw.info['bads']) | set([eeg_names[i] for i in bad_idx]))" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3ee44779", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EEG channel type selected for re-referencing\n", + "Applying average reference.\n", + "Applying a custom ('EEG',) reference.\n" + ] + }, + { + "data": { + "text/html": [ + "
    \n", + " General\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    Measurement dateDecember 13, 2018 00:10:09 GMT
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    Digitized points131 points
    Good channels121 EEG, 2 Stimulus
    Bad channelsE17, E51, E57, E68, E104, E107, E125, VREF
    EOG channelsNot available
    ECG channelsNot available
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    \n", + "
    " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Set reference\n", + "raw.set_eeg_reference(\"average\")" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "f0f64e8f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filtering raw data in 1 contiguous segment\n", + "Setting up band-pass filter from 1 - 1e+02 Hz\n", + "\n", + "FIR filter parameters\n", + "---------------------\n", + "Designing a one-pass, zero-phase, non-causal bandpass filter:\n", + "- Windowed time-domain design (firwin) method\n", + "- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation\n", + "- Lower passband edge: 1.00\n", + "- Lower transition bandwidth: 1.00 Hz (-6 dB cutoff frequency: 0.50 Hz)\n", + "- Upper passband edge: 100.00 Hz\n", + "- Upper transition bandwidth: 25.00 Hz (-6 dB cutoff frequency: 112.50 Hz)\n", + "- Filter length: 3301 samples (3.301 s)\n", + "\n", + "NOTE: pick_types() is a legacy function. New code should use inst.pick(...).\n", + "Not setting metadata\n", + "69 matching events found\n", + "No baseline correction applied\n", + "0 projection items activated\n", + "Using data from preloaded Raw for 69 events and 1001 original time points ...\n", + "0 bad epochs dropped\n", + "Running autoreject on ch_type=eeg\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=1)]: Done 17 tasks | elapsed: 0.0s\n", + "[Parallel(n_jobs=1)]: Done 71 tasks | elapsed: 0.1s\n", + "[Parallel(n_jobs=1)]: Done 129 out of 129 | elapsed: 0.1s finished\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "f1be1600d61040868d5a406864bffe70", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | Creating augmented epochs : 0/121 [00:00" + ] + }, + "metadata": { + "image/png": { + "height": 1195, + "width": 986 + } + }, + "output_type": "display_data" + } + ], + "source": [ + "# Get components\n", + "ica = ICA(n_components=25, random_state=42, method='infomax', fit_params=dict(extended=True))\n", + "ica.fit(epochs_ica[~reject_log_ica.bad_epochs])\n", + "ica.plot_components(picks=range(25), title=\"ICA Components\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6d980469", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Applying ICA to Raw instance\n", + " Transforming to ICA space (25 components)\n", + " Zeroing out 15 ICA components\n", + " Projecting back using 121 PCA components\n" + ] + }, + { + "data": { + "text/html": [ + "
    \n", + " General\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    Measurement dateDecember 13, 2018 00:10:09 GMT
    ExperimenterUnknown
    ParticipantUnknown
    \n", + "
    \n", + "
    \n", + " Channels\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
    Digitized points131 points
    Good channels121 EEG, 2 Stimulus
    Bad channelsE17, E51, E57, E68, E104, E107, E125, VREF
    EOG channelsNot available
    ECG channelsNot available
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    " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "ic_labels = label_components(raw_ica, ica, method=\"iclabel\")\n", + "exclude = [i for i, label in enumerate(ic_labels[\"labels\"]) \n", + " if label not in [\"brain\", \"other\"]]\n", + "ica.apply(raw, exclude=exclude)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "5a6c1b35", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Filtering raw data in 1 contiguous segment\n", + "Setting up band-pass filter from 0.1 - 80 Hz\n", + "\n", + "FIR filter parameters\n", + "---------------------\n", + "Designing a one-pass, zero-phase, non-causal bandpass filter:\n", + "- Windowed time-domain design (firwin) method\n", + "- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation\n", + "- Lower passband edge: 0.10\n", + "- Lower transition bandwidth: 0.10 Hz (-6 dB cutoff frequency: 0.05 Hz)\n", + "- Upper passband edge: 80.00 Hz\n", + "- Upper transition bandwidth: 20.00 Hz (-6 dB cutoff frequency: 90.00 Hz)\n", + "- Filter length: 33001 samples (33.001 s)\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=1)]: Done 17 tasks | elapsed: 0.1s\n", + "[Parallel(n_jobs=1)]: Done 71 tasks | elapsed: 0.2s\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Not setting metadata\n", + "69 matching events found\n", + "No baseline correction applied\n", + "0 projection items activated\n", + "Using data from preloaded Raw for 69 events and 1001 original time points ...\n", + "0 bad epochs dropped\n", + "Running autoreject on ch_type=eeg\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "[Parallel(n_jobs=1)]: Done 129 out of 129 | elapsed: 0.4s finished\n" + ] + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "ad7bc9b932294f209bddee8bfbe09602", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + " 0%| | Creating augmented epochs : 0/121 [00:00" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2025-07-29 10:43:08.613 python[49698:777619129] NSKeyBindingManager: Bad key binding selector for '@~7' = '(\n", + " \"setMark:\",\n", + " \"rightMouseDown:\",\n", + " \"swapWithMark:\"\n", + ")'\n", + "2025-07-29 10:43:08.613 python[49698:777619129] NSKeyBindingManager: Bad key binding selector for '@~S' = '(\n", + " \"saveAs:\"\n", + ")'\n", + "2025-07-29 10:43:08.614 python[49698:777619129] NSKeyBindingManager: Bad key binding selector for '^@w' = '{\n", + " \"\\t\" = (\n", + " \"insertText:\",\n", + " \"\\t\"\n", + " );\n", + " \"\\n\" = (\n", + " \"insertNewlineIgnoringFieldEditor:\"\n", + " );\n", + " \"*\" = (\n", + " \"setMark:\",\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"insertText:\",\n", + " \"* \",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\"\n", + " );\n", + " \"+\" = (\n", + " \"setMark:\",\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"insertText:\",\n", + " \"+ \",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\"\n", + " );\n", + " \"-\" = (\n", + " \"setMark:\",\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"insertText:\",\n", + " \"- \",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\"\n", + " );\n", + " 1 = (\n", + " breakUndoCoalescing,\n", + " \"setMark:\",\n", + " \"moveToEndOfParagraph:\",\n", + " \"insertText:\",\n", + " x,\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"moveWordForward:\",\n", + " \"moveWordBackward:\",\n", + " \"moveLeftAndModifySelection:\",\n", + " \"moveLeftAndModifySelection:\",\n", + " \"insertText:\",\n", + " \"1. \",\n", + " \"moveToEndOfParagraph:\",\n", + " \"deleteBackward:\",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\"\n", + " );\n", + " 8 = (\n", + " breakUndoCoalescing,\n", + " \"setMark:\",\n", + " \"moveToEndOfParagraph:\",\n", + " \"insertText:\",\n", + " x,\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"moveWordForward:\",\n", + " \"moveRight:\",\n", + " \"moveWordForward:\",\n", + " \"moveWordBackward:\",\n", + " \"moveWordBackwardAndModifySelection:\",\n", + " \"insertText:\",\n", + " \"* \",\n", + " \"moveToEndOfParagraph:\",\n", + " \"deleteBackward:\",\n", + " \"swapWithMark:\",\n", + " \"moveLeft:\"\n", + " );\n", + " \":\" = {\n", + " c = (\n", + " \"setMark:\",\n", + " \"swapWithMark:\",\n", + " \"deleteToMark:\",\n", + " \"insertText:\",\n", + " \" [\",\n", + " \"moveLeft:\",\n", + " \"deleteBackward:\",\n", + " \"moveRight:\",\n", + " \"yank:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"moveLeft:\",\n", + " \"insertText:\",\n", + " \"]: \",\n", + " \"pasteAsPlainText:\",\n", + " \"moveRight:\",\n", + " \"deleteBackward:\",\n", + " \"swapWithMark:\"\n", + " );\n", + " t = (\n", + " \"setMark:\",\n", + " \"swapWithMark:\",\n", + " \"deleteToMark:\",\n", + " \"insertText:\",\n", + " \" [\",\n", + " \"moveLeft:\",\n", + " \"deleteBackward:\",\n", + " \"moveRight:\",\n", + " \"yank:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"moveLeft:\",\n", + " \"insertText:\",\n", + " \"]: \",\n", + " \"moveRight:\",\n", + " \"deleteBackward:\"\n", + " );\n", + " };\n", + " \"[\" = (\n", + " \"setMark:\",\n", + " \"swapWithMark:\",\n", + " \"deleteToMark:\",\n", + " \"insertText:\",\n", + " \" [\",\n", + " \"moveLeft:\",\n", + " \"deleteBackward:\",\n", + " \"moveRight:\",\n", + " \"yank:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"moveLeft:\",\n", + " \"insertText:\",\n", + " \"][]\",\n", + " \"moveRight:\",\n", + " \"deleteBackward:\",\n", + " \"moveLeft:\"\n", + " );\n", + " \"]\" = (\n", + " \"setMark:\",\n", + " \"swapWithMark:\",\n", + " \"deleteToMark:\",\n", + " \"insertText:\",\n", + " \" [\",\n", + " \"moveLeft:\",\n", + " \"deleteBackward:\",\n", + " \"moveRight:\",\n", + " \"yank:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"moveLeft:\",\n", + " \"insertText:\",\n", + " \"]: \",\n", + " \"moveRight:\",\n", + " \"deleteBackward:\"\n", + " );\n", + " h = {\n", + " 1 = (\n", + " \"setMark:\",\n", + " \"breakUndoCoalescing:\",\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"insertText:\",\n", + " \"# \",\n", + " \"selectWord:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\"\n", + " );\n", + " 2 = (\n", + " \"setMark:\",\n", + " \"breakUndoCoalescing:\",\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"insertText:\",\n", + " \"## \",\n", + " \"selectWord:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\"\n", + " );\n", + " 3 = (\n", + " \"setMark:\",\n", + " \"breakUndoCoalescing:\",\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"insertText:\",\n", + " \"### \",\n", + " \"selectWord:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\"\n", + " );\n", + " 4 = (\n", + " \"setMark:\",\n", + " \"breakUndoCoalescing:\",\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"insertText:\",\n", + " \"#### \",\n", + " \"selectWord:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\"\n", + " );\n", + " 5 = (\n", + " \"setMark:\",\n", + " \"breakUndoCoalescing:\",\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"insertText:\",\n", + " \"##### \",\n", + " \"selectWord:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\"\n", + " );\n", + " 6 = (\n", + " \"setMark:\",\n", + " \"breakUndoCoalescing:\",\n", + " \"moveToBeginningOfParagraph:\",\n", + " \"insertText:\",\n", + " \"###### \",\n", + " \"selectWord:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"swapWithMark:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\",\n", + " \"moveRight:\"\n", + " );\n", + " };\n", + " i = {\n", + " c = (\n", + " \"setMark:\",\n", + " \"swapWithMark:\",\n", + " \"deleteToMark:\",\n", + " \"insertText:\",\n", + " \"![\",\n", + " \"yank:\",\n", + " \"setMark:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"moveLeft:\",\n", + " \"insertText:\",\n", + " \"](\",\n", + " \"pasteAsPlainText:\",\n", + " \"insertText:\",\n", + " \")\",\n", + " \"moveRight:\",\n", + " \"deleteBackward:\",\n", + " \"swapWithMark:\"\n", + " );\n", + " t = (\n", + " \"setMark:\",\n", + " \"swapWithMark:\",\n", + " \"deleteToMark:\",\n", + " \"insertText:\",\n", + " \"![\",\n", + " \"yank:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"moveLeft:\",\n", + " \"insertText:\",\n", + " \"]()\",\n", + " \"moveRight:\",\n", + " \"deleteBackward:\",\n", + " \"moveLeft:\"\n", + " );\n", + " };\n", + " l = {\n", + " c = (\n", + " \"setMark:\",\n", + " \"breakUndoCoalescing:\",\n", + " \"moveRight:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"deleteToMark:\",\n", + " \"insertText:\",\n", + " \" [\",\n", + " \"moveLeft:\",\n", + " \"deleteBackward:\",\n", + " \"moveRight:\",\n", + " \"yank:\",\n", + " \"moveLeft:\",\n", + " \"insertText:\",\n", + " \"](\",\n", + " \"setMark:\",\n", + " \"pasteAsPlainText:\",\n", + " \"insertText:\",\n", + " \")\",\n", + " \"moveRight:\",\n", + " \"deleteBackward:\",\n", + " \"moveLeft:\",\n", + " \"selectToMark:\"\n", + " );\n", + " t = (\n", + " \"setMark:\",\n", + " \"breakUndoCoalescing:\",\n", + " \"moveRight:\",\n", + " \"insertText:\",\n", + " \" \",\n", + " \"deleteToMark:\",\n", + " \"insertText:\",\n", + " \" [\",\n", + " \"moveLeft:\",\n", + " \"deleteBackward:\",\n", + " \"moveRight:\",\n", + " \"yank:\",\n", + " \"moveLeft:\",\n", + " \"insertText:\",\n", + " \"]()\",\n", + " \"moveRight:\",\n", + " \"deleteBackward:\",\n", + " \"moveLeft:\",\n", + " \"setMark:\",\n", + " \"insertText:\",\n", + " \"http://\",\n", + " \"selectToMark:\"\n", + " );\n", + " };\n", + "}'\n" + ] + } + ], + "source": [ + "epochs_clean.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b29618a0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NOTE: plot_psd() is a legacy function. New code should use .compute_psd().plot().\n", + " Using multitaper spectrum estimation with 7 DPSS windows\n", + "Plotting power spectral density (dB=True).\n", + "Averaging across epochs...\n" + ] + }, + { + "data": { + "image/png": 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10n7pxoRa0rmla6jVamg0Gv9+aSzSmBrut9vt8nWkfdJztWw2m/xTOnd7zqn+2KXXc06cE+fEOXFOnBPnxDlxTpwT58Q5cU6cE+fEOXFOnBPnxDlxTpwT58Q5cU6cU3vP6cMPP8R1110X0DEhKSkJ3333HYYPH67IOXXHz6k2J5ucnCxvZ2VlyZ9Te6ib0TFOSsa/88478of85ptv+hPzbSElws8991yMGzfO/2Ht27cPc+fOxddffy1/mW644Qb53NKNAEei9rytsWzZMkRGRsot+iXSl3PBggXy9sknn+z/MpaXl8utUyRnnXWW//X5+flYt26d/OWcPn26vK+k8lfsznwWVZUqaMVBGDroQoQYh0AlGrFr1y5kZGQgISEBo0aN8p9n8+bNOHToENLT0zFo0CD//tWrV6O0tBQDBw5Er169/PuXLl0qv1cjR45EYmKif3/t2KW7iNpzTpLMzExs27YN4eHhOP744/37OSfOiXPinDgnzolz4pw4J86Jc+KcOCfOiXPinDgnzolz4pw4J86Jc+KcOKeuO6fonuHYG7Mam6qka/kQWpSA3oVjMabfpC4zp9DQUPz00094/vnn/c9JCWYpiSwlgSdOnIj3339fzjV2pc9p419fwxC2HJHRVqjEEERZzkBVyTBs355xTHz3OgKT84fv2JCS5dJdGHfeeScGDx7c5nOcc845uPLKKxsl9aUv30UXXSSvYy8l7qU7L6RrnHnmmYiLi4OSeL125JV8DK1qENx2D7Tmfdif9wQEQQWTfiAc3hiI6hD4EN/ZQyUiIiIiIiIiIiIiIqJuLku/HW94X4U9r7pupx5YkfgNDO7n0At1Sd/OUl1djSeffBJr1qzx77vwwgvlZPLLL7+MLVu2yFXhF198sdyl+4wzzkBXUGJ9HeaE1+Xt8sNvr1TEqxZ6QFBJy4SHd+4AFYpt7eu1rU9JScH27dthMpmafD5YW/vWeOKJJ+S15yWPP/44/vvf/3ZoW/sdO3bIa1a0V2uH/NIvkVfyCXrFvwZRiKp5vViCSus6VFSvQ6X1L3i8dmjV0bCEjEKocaRcVe9xqxXZrqI7tuDgnLrWnKR90t1i0mtiYmIC/vYodU7d8XPinDin2mtKrYsk0p2f9c+v1Dl1x8+Jc+Kcaq8p/fta23Wq9vxKnlN3/Jw4J86p9v+gKigokI+X/n2tHb+S59QdPyfOiXNq7t9WJc+pO35OnBPnJLFarXJFoHS8VGlYO04lz6k7fk6cE+ckvV76b+GioiL5eKmQU3qN0ufUGZ9TvjUbV2WMhdVbiaboBAM+6LcGcdqUTpuTVI0tFe9KS1FLpPO/+uqruPbaa+XXSI/bbrtNXj671j/+8Q988MEH/urwzvicCsu+xfbMGWiOST8cg1J/bvLz6y7fvewOamt/zCfnd+7ciSFDhsgfkLSeg1TR3lB7Jeel/9NB+iMrveUnnXSSv81Ce6r/RZECXUrOtwe3pwI7Mq9BhHkaEqNnNnmM1+tAlX0rKq3rUWFdB4fzkL+qPtQ4HGbjSOi1qUe0ZABRdyT9Q9JUuxUi6noYr0TKwXglUg7GK5EyMFaJlIPxSqQcjNf28WH+c3gv7/Ggx1wSfQdmJtTk+I4Wl/w/J5YtWI5LLroEZWVl8n4p2S4tgz116tSA46W84UsvvYRZs2bJyWaJ1P593vffIrFHPLQwQERN0vlo2bDnRLk4N5ih6b/AEjIO3VU215zvGLNnz5YT89IaDtKdhZ9//nmjY7Zu3erfXrx4MfLy8uRtqa1Ewyr7YKTK2KioKBQWFiInJwcdrT2T4AWlX8rrdMRGXNTsMaKoQ6hxhPxIxPVwuPJqquqt65BX+ikOFc+BVh0pJ+nNxhEwG4fKa9UTHavq35nFm1aIujbGK5FyMF6JlIPxSqQMjFUi5WC8EikH47V9bK5a0eIxm6pbPqa9HMQB/Ix52OLbiE2vbMefd62Hz1tTIy2tq/7999/L+ciGpO+AtCT2gAED5KWypfXSpdzkkFGDcN3cyRg4OQ19MB4jcRaMCDsqy1y3lJiXlFWv6NbJ+Y5yzFfOz5gxQ24NcST279+PtLS0Nr0mOjpablUiBZjUykIJd3E4XYXYcfBaxIZfhLiIS4/oHF6vE9X2raiwrpcD2u7MgSCIh6vqpUT9COi1afxHiIiIiIiIiIiIiIiIiFp0V8aZ2FC1NOgx/Y0j8EbvxR0+lh3YijcxGw6HHctuXoMd7+71PzfgzL5Y8vFyRJujWzzP6l3LcNaZZyF/d021vagWcOFrozFpZh+EIBLn4gGEoK7dfUfweG1YsSWuxePS4u5Hauzd6K6yO6hy/uj2QDjGSW3ti4uL5W1pPT2lyCv9GCoxBNFhZx/xOURRC7NxOBKjrkO/lP9D/9R3kBg1E6Kol6vqd2Xdih2ZM5BV8Aqq7bvadfxERERERERERERERETUvQw2jWuXY/4uN9z4CG+hIr8C3524MCAxP/y+QZj87SisMge/iaBWTt+lmLV6OvpPr8kjet0+fH7Danxx82qUuwrxBz5BR1OJBoQYhrR4nMU0tsPH0h0d88n5OXPmyGs5BHs89NBD/uOlNedr97e1av6tt96SXyeZPHkyOprD4fA/pNb9R8LuzERp5SLERVzcri3odZo4RFlOR8/4hzAo7XOkJzwKS8hEVNm2YG/Ov5Bb/BF8Pne7XY+IiIiIiIiIiIiIiIi6jzMiZ0AfJHelEbQ4O/LaDh/HVmxExqZ9+HrUT8j7o1Dep9KrcNKnEzH2iWEQRAF/YAm80v+8XthsNpSWlspFvVILeymPJ+UPS5CDPOyBMUyLG+dPxQl39fdfY9n/duO16b/hr+I/YEVFh88pKfqWoM+HGI6DxTSxw8fRHR3za863hwMHDshBNGzYsGaPmT9/Ph577DF5W1pH5Kqrrurwca1Zs0ZusyAJDQ3F8OHD23yO3OIPoFXHIjL0VHSU2qp66ZEQeTXyS79EfumnqLRtQGrMLOi0iR12baLO5HK5kJmZKW+npqZCo9F09pCIqBmMVyLlYLwSKQfjlUgZGKtEysF4JVIOxmv7iNLE45HUD/Hggcvh8NkaJeYfSHkXCboeHT6Or77+Gt9c+QvcVo/8uy5ci7Szk3Hwl0PYOScD1jw7rHk2zC57O2gxrU6vgyFKhdA4A0Lj9PLPIeckY8sP2XIF/e7f8/HMqB8x6ocVmDLwtA6dU0zYBaiy/YXswlcbPSctUz0g9SMuVX2EmJxvp+T81KlTMW7cOJxxxhkYOnQoYmJi5Ltc9u3bh6+//lp+1FbNP//880hM7PiEs8dT80fgSFXbtqO8eg1SY2dBEI7OV0UQVIiLuERehz4z/znsyr4NiVHXI8J8MoOcuh23241t27bJ29LfBP4HGFHXxXglUg7GK5FyMF6JlIGxSqQcjFci5WC8tp8xoSfhw35r8V3xu9hUtQI++DDYNFaumO/IxLzdbsfatWvlwtyFCxcGPOcodWLX+xltPqfD7oAjGyjLtjZ7TPH+Kpw09Cxcf/31uOGGGzBgwACoVCq0Nyknl57wOKIs/8Ch4vdgte+CSjQj2nIGYiMuhVplbvdrHiuYnG9HK1eulB/NMRqNmD17thwwR8PfSWZLNxIcKn4fBl0PhIV0fAv+hoz6PuiT/AoOFb2NrIJXUVG9Fskxt0Ktshz1sRB1FFEUER4e7t8moq6L8UqkHIxXIuVgvBIpA2OVSDkYr0TKwXhtX7HaZFwf/3CHXkPKm+3YsQM//fST/FixYoXcAaE1RK2IsDgLUiJSYTAY5A7b0kOtVsuV9FKiX3pUW6uRVbgPFQU2+Lw1Bb/N3dzxv//9T35YLBZMmzYNp512Gk499VTEx8e346xr1pXn2vLtS/DVlnNTsx5++GE88sgj/jXnp0yZEvB8ZWUlvv/+ezkxv27dOuTm5qKoqEgODumP68CBA3HiiSfi2muvlSvqO1J2djaSk5Pl7S+//BLR0dFH1Na+vHo19uc+hp4Jj8hV7J2pvGolsgpfkavqk2Pu7PTxEBERERERERERERERUfcmpVA3btyIjz/+GN9++63cSbs5ap0akSPCEDEgDOH9LAjvb4E5zQRjvAGmMCP+JTyAVPRs8Zp/YQGWeT5EZaEDFbk2FGZUIn9HOfJ2lOPQtjLkbin3d+puipQLvPDCC3HppZf684X093Ou0jLiSUlJaA9Mzncz7ZGc9/m82JV1C9SqMKQnPNEl2sm73CU4WDAbldaNcsuM+MgZEEVdZw+LiIiIiIiIiIiIiIiIulmu7cMPP5ST8lK1fFN69uyJyZMny5XwUpHudTdci7nip1iB3+XW+rXMsOByXIeBOM6/r8xXhh3YAavPinAhHAMxEDqhJuclvXYj5mMt5sGDusp8DfSYgEvQwzYWs2bNkivmd+3ahaVLl6K4uLjR+KTcnjS+yy67DBdddBFCQkLa+V3q/rKZnKejlZwvqfgNBwteQp+kF+X28l2F9FUtKv8BucXvQatJQGrsLBh0Ld9lRERERERERERERERERBQsB/Xnn3/i5ZdfxjfffAOPxxPwvEajwfjJE5B8Sj+EnJqIiN6xGCCmYbo4GlFC3ZLMxSjCX9gAO6yIRQIGYxg00MjPeX1eLPAtwBqsCUjga6HFacJpGCIM8e+zoxIZWAcrymFGJHpiJLQw+J8v9WZjv3cdSj152LsmB1t+ycEfP2/Epo2bGs1NyhFec801uOWWW+SbCqh1mJynNn9RPv30U//aEq1Nznu9Tuw8eL2clE+Luw9dkc1xAAcLnoPdmY34yCsRbTmnS1T3E7WVtB6NdGebpG/fvvI/7kTUNTFeiZSD8UqkHIxXImVgrBIpB+OVSDkYr51vvXM7vrL9iu3ODOTP24ecN7YjZ2Nmo+MmTZokV5/3PncY3rL8DEe9anaJFhrMUl2EkWLfFq/5m/c3/IE/mn3+UuFS9BZ6t3ie7Z5F2OVd0mi/CRGIz5yMeZ/9iI8++gh79uwJeF7KpU09ZQCuuL0/hoxMgkV7HOINp0Cvbt916ruL7A5Kzovtchbqkhre1dMaxRU/wuUpRlzEFeiqDLo09E56SW5vf6joPezLvR9Od1FnD4uozdxuNzIyMuSHtE1EXRfjlUg5GK9EysF4JVIGxiqRcjBeiZSD8dq53q3+BjeVPoZv5n6D347/GGuu/zkgMR8TE4MHHngA+/btw7Jly3DedRfjbcsvjRLzEidceN7zBQp9ZUGvKbWwX4VVAFSAVGkvxAFiAiDEAoJZSp1jqW9pi2PP8W5rMjEvqUYJClNX4f7775dv/li1apVcMa/THW6Z7/Nh8c/bMOOUr3HzxV9i6arP8Vfpf1Dm3NyKd43ai7rdzkRdjii27d4Lj6ca+aVfIMJ8MvTa9rn7o6OIggYJUdfCbByJgwUvYnfWLUiKvgVhIRM7e2hEraZSqZCQkODfJqKui/FKpByMVyLlYLwSKQNjlUg5GK9EysF47TzrnNvw3I+vIuvRTbBuC0yoG48LR+r1g7D06m8RbYj071/oXQs7nM2eU0rQ/+pdg8tUJzd7TAYy4IEACFGAUC9/J0ifv5Sc1yPHdwiVvkqY5WR90/Z6m6+8l5QjF0W+/YgWe2LMmDHy475HZ+C512/G3Pf3oDDXJh/352+H5MfxpyTi1oeqcfboOVCLXJf+aGByvhtraxuUgrK58PqciIu4FEphNg5F3+TXkV34Gg7kPY2I0BORGDUTKtHY2UMjapFWq8WoUaM6exhE1AqMVyLlYLwSKQfjlUgZGKtEysF4JVIOxmvn2L9/Py699WLs+XFrwP6QEZFI+vdghE6Ok1u/L/atxUU4xf/8Nt+BFs/9l3cffsM2lMOGCJgwSuyJEKGmYl1ihx0QwgMT8/UJUk7PDGeDmwAqfOXI9GbCBSdCEYpiX7aU4g+qyHcA0ahbW95tWosZdwzEZTf3x/zP9+H9F7chP8cqP7fslxz8uehbzLxFwFOPvAezufkbA6h9MDlPMpe7BIXl8xBtORMadd3dQEqgVpmRGvsfhBoXIafoTVTbtiIldhZM+v6dPTQiIiIiIiIiIiIiIiLqRHa7HU8//TSeeeYZebuWaUgEkv4zGJYT4uWkfK3t7ow2X+MAivCJV2pbX+Mz72pcKI7CNNXAw3u0hxPwwRjl/0k8Pg9Wev7AXl+DdeORBAOKoEFNBXxrVB2ej1oj4uzLe+G0C3vg+0/24YOXtqEwzwa3y4vXZ3+Nb7/4Ey+88AIuuuiigPeD2hfXnCdZfunnEAUtYsLOhxJJfyQiQqehT/JrUKvCsTfnbuSVfAyfj2u1EBERERERERERERERHYvWr1+PkSNH4pFHHvEn5jXRevR8bSwGLjgZYScmNEpEa4TA2uaBQlqL11FBH/C7Cx45Wf+ntya5LqAV3a4FEVbBIW+u8vzZKDEv8UEFK2LglpL9zYhqMF5RWue+Hq1OhfOv7o0vV/4DM+4cCI22Jl186NAhXHLJJTj33HORn5/f8njpiDA53425XK5WHedw5qC44mc5Ma9SKXs9CZ0mDr0Sn0Fs+D+RX/oF9ubcA4frUGcPi6hJTqcTa9eulR/SNhF1XYxXIuVgvBIpB+OVSBkYq0TKwXglUg7G69HJkT388MMYO3Ystm3bJu9Tq9WYdOvJOG7VPxB9YY9mq8NHawYH/H6SOAr6IMlwKfWuldeNb2yeZyO8Ph90QrDX19FCg0pfBfb4dge9ngNhTT5jQTyihB6B+7THNXmswaTGDfceh8+Wn4bpp0+oG/O8eRg0aBC+/vrrVo2Z2obJ+W7M6/W26rjcko+gUUUgynIGugNBUCEu4hL0Snwebk8FdmXdiuKKBfD5fJ09NKIAHo9HvhNNekjbRNR1MV6JlIPxSqQcjFciZWCsEikH45VIORivHSszMxMTJkyQq+Xd7poOy0OHDsWGDRvw4YvvwWiuaR3flGRVHKbqRgfsixRCcbfqYuiarH4XYEQ0xGZWEi9EJbJRgnQkQdWggr2hBETDDBOyvAdbnKMbBjTMepkQgTHqSxrddBBnOCVo5X6vXr3x0w+/Y+7cuYiOjpb3FRUV4YILLsBVV10Fq7VmfXpqH0zOd2MqVfAgl1gde1FWtQKxEZdBFHXoTkz6vuiT/CrCQ45HVsErOJD/pJysJ+oqpLv00tPT5Ye0TURdF+OVSDkYr0TKwXglUgbGKpFyMF6JlIPx2nF+/fVXDB8+XO5KUJsre/DBB7F69WoMHjwYaepEPBV6B4xCYBv62sT8bMu/G7W1lwwTe+NV9e04X5yMAUIaBgipmCAMgRmJ0BxeJ745dp8LRugxFoOCHjcFw+WfLrSmM7aAZAxDhJCMGKEXhohn4AT1zTAJ4Y2ONKgT0Sf0DohNzFmnikVfyz0QBY3czn7r1q3yz1pz5szB+PHjkZFRs249/X2Cj+XE3Up2djaSk5Pl7S+//NJ/h0toaKj8x6ihjEP/hctdgr7Jr8kV591VWdWfyC58BYKgQUrMnTAbG78XREREREREREREREREpMxu0k888QQeeughfyflnj174vPPP8eoUaMaHV/urcSP9mXY7s6QW8mP0R4nV8xrhVasDX9Ynq8c97qDt34XIWC2+hKECgZ44cWvWIU1qGmzX0u6/mkYjyHoI/+e6T2A3z2Lgp7XCCMuUF/cbGv+pri8lSiyL0OVOwMiNLBoByNCN0ZOzNcnvX8ff/wxbrjhBn/VvMViwUcffYQzzugeXbjbmnPNyspCUlIS2gNvxzmGVVo3oNK6GT3i/tutE/OSsJDxMOn74WDBi8g49CCiw85EfMQMiGLr1vggIiIiIiIiIiIiIiKirsfhcGDGjBlyIr6WlET+4IMPEB7euJJcYhHNuNR4epPPSWvEr3Zl4Vf7XhR5rYgWTZiu74UxmqSAZHicYEE/IR47fbnNjm2EkCYn5iUiRAzyDMAhpxfZQi4geCH41Ojt64keuhR/v/MkIVlOvlvRfDv5PmK/Rol5j8+NQkcGih2ZcPtcMKnDEafvixB1pPy8RjQjvpk51yed9/LLL5eLfqUq+t27d6O8vBxnnXUWXnzxRdxxxx0tnoOax7b2xyjprpfc4jlywjrUNBbHAo06Aj3jH0Ni1HUoLv8Je7LvhM2xv7OHRUREREREREREREREREegrKwM06dP9yfmRVGUK+jnzZvXbGI+GKfPg/sqf8O/KxZisXM//nLnY5FzH+6pWID/Vv4mP1/fDNVEWFCTfG9IWkH+EtUY/+/73MX4wLoG2e5qwBUKOMPgc4Vgm7sA71pXo8Jrl49TCSpMUk1udo36WCEWg8TBAfvsnipsLJuHPVUrUOLKQoU7D7n2HfK+g9ZNOBIDBw6Ulwc477zz/LnFO++8E3fddZfcqYCODJPz3ZjT6Wz2ubLq5bA69iE+ckabWl4onTTX6LCz0DtptrQcB3Zn34HCsm/9LU6IjvbdfMuWLZMf0jYRdV2MVyLlYLwSKQfjlUgZGKtEysF4JVIOxmv7kFqNT5w4EUuXLpV/NxgMclL+vvvuk5P0R+LN6rX403mwyedWOA/ibeu6gH2xQigeVJ+FqWI/GFDTHt4EHU4WB+J+9RkIF0z+avzv7VvhQdP5qAqfHYsce/y/x4sJOF19JtKEHnLFfc15TRgujsBJqlOgFuqao0s5rh2Vi2DzlDd57kzrehQ5DuBISMtmf/XVV3jwwQf9+2bPno2LLrqI390jxLb23VhzCWefz4284o8QahqJEMMgHIsMuh7onTgbuSUfIKfoXVRY1yMl5i65up7oaJHuLCstLfVvE1HXxXglUg7GK5FyMF6JlIGxSqQcjFci5WC8/n0HDx7E1KlTsW/fPvn36OhozJ8/H6NHj27y+FXWvfio7A9sdWRDK6gxydgXV4ZNRKo2yn9MldeJH+w7g173e/suXGUYBmO9ZZMjBBOuUE3A5eJ4uOCBBqpGhbH7PcUo99VUxjdnmzsXp/v6y+OrOW8EpqhPgNcnrVbvlSvpmyq4LXflocpdFPTcObatiNKlBeyz2fahrOwPOOwHIQhqGI29YQmbBK02OuA46ZqPPPKIvP66tA69x+PB119/DZvNhrlz50Kn0wW9NgVicr4b69GjB1JSUuTt+oFRXPErnO5cpMXdh2OZtN681OI+1DgCBwtmY1fWTUiKvk1en57oaFCr1XJbmNptIuq6GK9EysF4JVIOxiuRMjBWiZSD8UqkHIzX9k3Mp6en49dff5V/NuXV4gV4pWRhwL4D5UX4umIN3kiYgQnGPvK+Xe4iOBDYtr4hm8+FHe4iGGFApdeFOLURKeoQfxJb20zqtdRra3FeUlV9hc+BqHpV8RJRkGrnxYDi3FJXOZxeJ4wqI8rdza95X6vCnS8n+aVzSUpKFqOk+OeAY8rLi1BRsRZx8VfCZOrX6BzXXnstEhIScMEFF8BqteLHH3+UW94zQd82go/9vLuV7Oxs+c6V2nYeSUlJAc97vDbsPHgtzIbhSIn9VyeNsutxeyqQVfgqyqtWIiJ0GhKjZkIlNr1GCBERERERERERERERER19Uu5rypQp/sR87969sWTJEjlp3JQ/rLsxI+ftZs8XKhqwJO1emFUGrHPm4K6KX1ocQ5I3EdXeumR5X40FN4T2R09NaLOv2e7Kw1f2zS2ee5ZpKkz1qvIbyrHlYXvlbtgOr08vMYpqqIRsqAVX0HNPiJwBUVDBZs1ATs6bzR4niDqkpd0LlaqmJX9D0jICp512mpygl5x++undMkGf3ULO9UhxzfljTFHZd3B7qhAXcdkRvd7qqcKysu+R7cjoVuu0q1WhSIu9D8kxt6Osajl2Z92Kavuuzh4WERERERERERERERERydXeJZg+fXpAYv6jX77A+65fcMG2/+DS7Q/gzUPfoNRV6X/Nh2V/BD1nhdeG7yo3yNt91FHQQhV8ED4BVQ1WItjlKsd/S9bhoLuq2Zf1asW5e6gigibms2yHsL78r4DEvMTqdaPSEwOPr2bN+6aY1dFyYl5SVh78PfF5HaisWO//3WXLQdmBd1Gw7T8o3P4Ahvcuwfwf5sJoNMrPSxX0V111FZdoaCX2yjiGuD3lKCibiyjL6dBqYo/oHL+UfIJl5T/I26HqcAwwjpIffY1DoVN4pbnUbiQy9CSEGAbiYP7z2JszC7HhlyI2/EIIh/9gERERERERERERERER0dFlt9tx9tlnY8eOHfLvvXr1wj1zn8AlBY/A5XP7j1tevhFv5szFh/0fwXEhvbDFntXiuf86fEyoqMOp+t74Lsi68zqfCUITtc9WnxsfV+7BfeHDmnydtI78FF0vLHA0XRiqgoATdL2bva7H58W2ymBFpSJsXgtCVE2vPZ9oGOTfdrTiPbEfPqa6YCFK970G+Ora/TvKN6JvaBi+m/sOzjz3Gnnt+c8++0xeavvpp59u8dzHOibnu/kfqvryS7+Uf0rJ5iNR7MrDHxU/4dSIf6KnfgC2Wddgu3UdVlUsgEpQoZdhsJyoH2gajShNPJRKp0lAr8RnkV/6OfJLP0GldT1SYmdBp4nr7KFRN4xRqf2LZPLkydDr9Z09JCJqBuOVSDkYr0TKwXglUgbGKpFyMF6JlIPx2jZSRfaVV16J5cuXy7/HxMTgtXnvYGbFC/CgcbV2sbscV+18FMuHvQV1K4ovNfWOudk0BlmecmxwNV7HXe3VweC1NHuetY5CVHldCBGbrmAfq0mVfy51ZMCBuhsKwgQDztAPRJIqrNlzFzqK4PQGb1vv8unh9YkQhcD3JMlwHKK0Pfy/t6YgVTrGWbUHpRmvSp9Ao+e9rjIMjP4Vn336Ec4970L5M3rmmWfkBP1NN93U4vmPZUzOd2P12847XQUoKp+P2PCLoQ4S3C1VzZtUZkwNOxdaUYfexiE4G9ehyJWL7dVr5WT998Xv4duitxGjTcQA40gMNI5GD8NAqAVlfdUEQS23/jcbR8hV9FKbe2kd+nDziXKFPVF7xWjtTTTdaZkIou6I8UqkHIxXIuVgvBIpA2OVSDkYr0TKwXhtWZGjFAsKlqLcVYkVr/2GL7+sKUCVWqlLbdQ/1a1oMjFfq8BVgnlFSzDR2AdfVawJeq0Jxj7+bb2gxguhp2CJ8wAW2veiyGtFlMqEGIRhibUEAprPEUmjqfA6m03OS/mlcdo0jNAkYa+7CDafC+GiEWmqCIgt5J7sXmfQ5w9fAYmGobC6D8EDN4yqMMTr+yG0QTdtg7EPXOUrg57JaOyNqtzvmkzM1/I4izBtfBhee+01f0L+1ltvlZcbOOmkk1ox3mOTsjKm1CYaTV3w55V8DLUqBNFhZx/RuQ459mNd1e84L+pGOTFfn1Qlf3zYmfLD4bVhl3UTtlvXYkPVMiwp+w560YC+xuGHW+CPgFkdDqUw6fujT/KryCl8EwcLXkKFdR2Som+GWmXu7KFRN4nRkSNH+reJqOtivBIpB+OVSDkYr0TKwFglUg7GK5FyMF6b5/V58dTu1/Hm/o/lSnHHmnKUz65ZY14URTlJL713t214o8VzrarYiltTLsO8yvVw1WvLXl9PTTROCqlr+S5RCSJO1PWUH7VW2wuw1Foa9HoiBIQ1yKE11+J+QBu7NRtULZ9XkmIcBK3YdGv9WmFhE1FZsRa+essB1KfRRCIkZAjy9rzS4vUcFVtw4413IDMzU66clyroL730UmzYsAHJycmtGvOxhsn5bkytrvl4bY79KK1ajMSoG6A6wnXhfyr5CJHqOIwNnR70OGnd+eNCxskP6W6vHOc+bKuW2t+vxeeFL8nHJOt6yxX1A0yjkKRN7/KV6CrRiJTYuxBqGoXswtexK+tmpMT8C2bjkM4eGnWDGE1MTOzsYRBRKzBeiZSD8UqkHIxXImVgrBIpB+OVSDkYr817ctfreHXf+/K2J8+Bihcy/c+ZZyQiYUKavO1Dyx0HpGN66+LwatzluCvvU1h9gdXnPTTReDvxGn9b+yqPC9+UZWJBRQ7KPU4kaIw4KywF00OTMFwXBYuoRXmQCvaxuhgYxY5JvUZrI6ETtXAEuX6cLgZaUQOPx4XC0gMoqTgEj8cJndaEqLAUhIcmyjk5rTYGcfFXIi/vY/i8jkaJ+fiEayCI6lZ2dag55sknn8SWLVvw008/oaioCOeffz6WLVsGna51NxUcS5icPwbklnwIrToWkaGnHNHr99t3YGv1GlweO6tN7emlAE/SpcuP6RGXoNJThh3V6+R16n8v+wY/l3yCUHUY+h9uf9/HOBR60YiuKixkEoz6/jiY/yIyDv0XMWFnIy7ySogC72ojIiIiIiIiIiIiIiL6OwodJXhz/0fyts/lRfmT++Grqql4142zQHtuJJ7f83/4ZNQrGG0eiGxHQdDzjTIPlH+eGDIQi9PuxTeV67DVng2toMIkYz9MDxkM3eFker7Lhhsy/0SWq9r/+lyXDeutxfi1PAfPJ4/GdeZ+eL78ryavZRY0uNzcCx1FFEQMDu2HdWVNX18jVeObe8PpsmJX5p/yz1pOtw2V1iI5WZ+eNBKCIMJk6oe0tHtRUbEODnuWvMa81O4+JOQ4iIfb8utCB8JWvDzouHSH32Opq8FHH32EESNG4MCBA1izZg1mzZqFV1+V1qyn+pic78Z27dqF4rINqPYuQbjhBnkd9baS7oqZXzwHCbo0DA+Z/LfGY1aFYXToNPnh9rmx37ZNrqiXkvWrK36DSlAh3TAIkyxnYLBpLLoirToK6QlPoLDsG/mmh0rbJqTG3g29NrWzh0ZERERERERERERERKRYCwqWwXW41Xr1p3lwZ9jkbVWCDuY7U+Wi0EWFf6DabcXV8Wfi26IlzVbQR6otODd6Sr3fQ3Bd+BS4fF5ssxbB6nWjwuNE9OHk/COHNgYk5uv7o7oA7xXtxszoftAKIj6s3INsT92xQ7QRuD60PxLUJv++crcbpS4XQtVqRLRx6QIpN1fmdMLt9cKi1UKrqqnsT9DHYXSYCtsrd6Oq3vWjtBFy4j5EbcKuzD8CEvP1lVflIa9oD+Kj+8q/e11uGFS9EBJ2HNT6sEadrkPizwyanBc14TBEHe//PSIiAnPnzsX48ePhcDjktejPOOMMnHzyyW2af3fH5Hw3lpt7CKqQnwAhClb3kd2ts8O6Hhm2bbg+/uF2bT8vVeD3Ng6RH2fhWhS78uT295ur/8C7uY/L69efGXl1myr1jxbpfYgJPw9m41Bk5j+P3Vl3ICHqakSG/qPLt+inrsVms2HBggXytvSPk8FwZMtOEFHHY7wSKQfjlUg5GK9EysBYJVIOxiuRcjBem1buqpB/unZWw/p1fs1OtYDQ/6RBNNUkqKVkfKW7GkNCeuOZnrfgP/tehxfegPNYVCF4r98DCFEZAxLeHxbuwKt5m1BwOHmtgoBTw9NwVexgrLEWBR3b16UHcE1UH4zRx2C0LhoH3FWo9LoQpzYgRlX3+eU6HPg6Px/bqqr9tw2kGww4LzYG6caWu0fvKivDhsIiVLpcNWMUBPQJs2BMTIycpI/TRyNWF4UKdxVcXheMKgOM6prrW+3lqLIWBz1/QekBhBvCUZ69Cs7qus4DGkMkwpLHQG9O8O/TmfsjrMdNKNv/hr99fS1RHYqofg9AVOkD9g8fPhwvvvgibr75Zvn3a665Rm53HxYW1uLcjxVdL/NJ7UZr3A+oDgK2GRDUwpFVzZfMQbphIPobR6AjRWri5IS8VDW/vPwHfFf8Lg7ad+HK2P8gXBONrsigS0efpJdwqPh9ZBf+Hyqq1yI55g5o1BGdPTQiIiIiIiIiIiIiIiJF6WlKhc/uRcWLmajNt5suiYMmvS6pHaoOQaS2JtF7Sex0jDD3x0f5P2FT1W65tfvxlmH4Z+wpiNaGB5z7pdyNmJ27IWCfBz7ML92PNVX58KqNcuv45pR6nMh2WpGmC5ELNXtozI2OkRLzz+4/AKs38GaBDJsNL2YexG0pyehrqquub2hjURHWFhQGjtHnw47SMhTa7DgjLRUaUZSvb2ni+tW2UrTE7XEgb+8vUHkC16532YpRuPtnRPc+BfrQRP/+kLjToAsdgKq8n+Cs3it36daHDYcp9lSoNJYmr3HjjTdi3rx5WLhwIbKzs3HHHXdgzpw5LY7tWCH4pAwsdRvSlzw5ORlSAfePv0+HQR8N2K5GaKhFvlulLdZXLsFH+c/jtsRn0dMwAEdTpn0X5uQ9BYfPjstiZmGAaSS6sorqdcgqnA2tOh69k57v7OGQQng8HpSXl8vbFosFqsOtaYio62G8EikH45VIORivRMrAWCVSDsYrkXIwXpsmVYIn/rMvCj/fL/+u7mNE+PN9IKjqClCvT7sUjw2Y1abzHnJWYcKWL+RkfHOMaiNCtCFBz/NCwjiMM0dCKzadxH8l8yC2VTfdGl8Sq9XikfSeTXZhrnK58NmevUFGCIyOicHQqMgmn3O53cgr2oeC0p1oSaStCCpf4A0EtdQ6C+IGnv+3O0VnZWVh0KBBqKio6Ybw888/45RTToESc66180lKSmqX8zZ/Cwgp2qjxaqi1JYBjunQPRptfL60J/3PJxxhkGn3UE/OSVH1f3J38KtL0/fBW7sOYX/wBPD4PuqpQ00gkRF6PavtOOF2BdzURNUf6Dy5pDRbpwf/4IuraGK9EysF4JVIOxiuRMjBWiZSD8UqkHIzXpu3fux+lc7Pq2tlL68zXS8z3DemJf/W+vs3nnVeSETQxL3F47EGfF7wqPLB3Py7Yshmf5OXC26D2udzlCpqYl+Q7ndhnszX53J7y8hZGCOwuK2u0z+12Y9eB/Vj11yYcOFSMlkqyVV43xGYS8/L5HOVwWv9+nktKar/88sv+32+//XY4nYHV+scqJue7qVPO1MBp7Qt4j+wujtUVC1DszsNpEZejsxhVZlwX9xD+EXklFpV9hTcO3Y8Kdwm6qlDTKAiCCuXVKzt7KERERERERERERERERIohNfqWErhul1v+fcDlw6FJqVlL3awOwXVpl+D7ce8hTBPa5nPnOYMnzSXeIAlricYVAgECytxuvJWTjVeyDgY8X+KuGXdLig+vJd9QpbPp/QHHNHitx+vFX3t2Ib+4SH7/fD41PJ7ANeAbMrqsLZb0elrxfrXGlVdeiYkTJ8rbu3fvxksvvdQu51U6Jue7KUuYAGvZhCN6rdPrwK+ln2JEyBQk6HqgM0ltM6aFX4CbE55CgSsLz2ffhj22v9AVqUQjzIahKK/+s7OHQgrh9Xphs9nkh7RNRF0X45VIORivRMrBeCVSBsYqkXIwXomUg/Ha2A8//IBffvnFX3W95tWl2HvyMmw64RfsmLYIjw+4+4gS85IYTd2a9c2J1Rgx3hTT5HMalwlqT82NArW+LSzAHqvV/7u5lR0QzCp1k/sN6pZfb1AHvja3sABV9cYgcTgtcHu0Tb4+NiwV+hY6BEhUrXi/Wpvje/XVVyEeXgbg0UcfRU5ODo51TM53U6uWu+GwBV8boznLyr9HtacSp0Zchq6il2EwZiW9glhNCv536D4sLP1Svguoq7GEjEe1fSvcnsatRYgacjgcWLBggfyQtomo62K8EikH45VIORivRMrAWCVSDsYrkXIwXgN5PB78+9//9v/+wgsvwGQyweZ24v92f4dhP12BmLmnYMTPV+DFHZ+iyt24NbzL68FXOetw/po3MGn5M7hw7Zv45tAGeHxenBWR3mK1+LmRvfFy8hi8kTIO54SlIgwmqF0mGGxR0LpC5ar5hn4tLvJvR2m16GEITOA3FKZWo4+p6cR3L4ulhRECvUIDb04oKC5u4igRDkcEbPYIuNwGaNQWxEakY0DPqUiKHwJdMzcg1FLrQqE1xcDnssG+/3dUrnwZFcufRdXGD+Aq3tvka7zV+bBteAUV35+P8rmnoHLBtXDs+RY+rwtDhw7FzJkz5eOqq6vlBP2xjsn5burn745s3QarpxKLyr7G+NBTEamJQ1cSqo7AjQmP46Swi/Bj8YfyWvTVngp0JRbTGPlnefWazh4KERERERERERERERFRl/fZZ59h586d8rbUBv38889HZnUepv52E17a9TmybQVwel3IqMrBo1vfxam/34EyZ5X/9VVuB85Z8zpmbv4Ii4t2YlvlIfxWuAPXbvpATtZHqXW4MW5I0xf3CUjSmDEzdrBc6T3KFI3/xg+BxRUJnSsUok/T7LgLXYG5uPNjYxCs/v086Xmh6dsEwnU69A8Pa/a1IRo1BkdGBOxzNLh+HQFerw5OZxi06iQkxQ6EQWeWn7EkjgaE5tLDAsKSx8FrLULFimdh2zEP7tJ98FTmwJW7AVWrX4V1x7cBxbOe0j2oWjgTzozv4HOUAl4XvOX7Yd/0GqzL74PP48Rjjz2G0MM3Frz33nvYt28fjmWCryuWH9MRy87Oltt9SD7//HPExsbK29KXfvjw4S2+fn7xHCwr/wEPpLwDszocXdUO63p8nP88tIIOM+LuRaq+L7qKvTn/higa0DP+4c4eCnVxUrui2rsidTqdv7ULEXU9jFci5WC8EikH45VIGRirRMrBeCVSDsZrHbfbjf79+2Pv3pqq7CVLlmDy5Mk4Y8m/sLxwU7Ovm9HzdLw04i55+/Ytn+OjrJXNHnt96vF4asC5+L/8LXgjbzNK3Q4ILhMERwgEb00L+GGhFsxM7YHp0TV5tet3bMOuBi3jGzo3Oga3p6QG7NtRVY1P8/JQ4KxLnFvUajlxP7qF6nivz4d1BYXYWlICd730bYLRiMkJ8TBrA9vVr9++FdW2xl0E6kuKjUXPpBT4vF5UZGeiMjsLblcZREMpBFXdGvZqnQVhyWOhD01E5Yrn4Kk81Ow5jUMugy5xFHw+L6p+vRreyqxmj9UNnAH9gMvx8MMP45FHHpH3XXXVVXKSXkk516ysLCQlJbXLeZmc72bqf1G+/PJLREdHtzo5X+4uweMHr8VUyzk4LfJydHWlrkJ8kP80shx7cVbkNZhkOUO+q6mzFZZ9h0PF72FQj8/kdeiJiIiIiIiIiIiIiIiosffffx9XX321vH3CCSdg0aJF2F1xEKN/vSro6wwqHXad8RXcPmDA4gfg9HqaPdao0mL7CY8iVGOAzePCbds34bfCkiaP/Xd6b9yQ2hNf5efhtezmk86SN/v1R39TSJNJ9n02G0pcLnmNeamVfcOKeSk9KyVoxSbyWg6PB7lWK9xeL6L0eoTpdE1ePysvF/tzsoOOcXj/gTDp9SjYsgm24sL6IwBEFyB6EJbWB5bk/nKOzVW0C1Vr/hf0nKrQZIROnAV3/npUL7sn6LGCPhLmf3yO8vIK9OjRA2VlZVCpVNixYwd69+6NYzE5f+zeikONLCj9DBpBi6lh50IJwjXRuCXxGUy0/APfFL2FD/Kfgd0b/C6mo8FiGgefz4MK67rOHgoREREREREREREREdHfUu2swhfb5+CpP+/D6+ufxf6yptcebyspQf3cc8/5f6+trN5antHia20eBzIqs7Gx/GDQxLzE6nFia2WOvL22rLzZxLzk2Yw92FNdhX9ERSM9yBry0yMim0zM43DCvZfRKFfK9w8xBSTmy2wezN9ZgWeWFeGxxYV46Y8iLN1fDafb6z9Gp1IhzWyW16FvLjEviY+OgVGvb/b5uMgohBiNqMrNaZCYlwiA1DXAbUD5/kPwumuq6N2l+9EST0UWfB4XPGUtf04+ezF8jjKEhYVh1qxZNa/3eDB79my013fIeWgFKlc/gsqVD8B+4Cf4Wvg+dDYm57sx6cvdWgXOHKys+AXTwi6AQWWCUqgFNc6Jug5Xxd2Lndb1eD7rduQ4OnetCq0mBkZdOsqr/uzUcZAyYrSkpER+tCVeiejoY7wSKQfjlUg5GK9EysBYJVIOxiuRcigpXufv+Roj3kvCnb9dhVfXPYUn/vg3JnzYG7MWXQeXp64t+pFYuHChXEEtmTRpkrzevESvaj4hXZ9BrYMgJZlbQTx83GeHglfDS9XsXxzKhkGlwot9+mJqeHhAMtUgivhnXBzuSeuBtsqvdOOtNSVYn2OHQyr5l7pa271Ysq8aczaUwV4vQd8aapUKx/Xph6iwwGWqVaKI5Lh49E5Nk3+vzGlhzh4PqvNyD//W2g7VAtDKz0lQ1bTjv+WWWxASUnNDwwcffIDS0lL8HZ7qXBR/PRHFX09C1eqHUbX2cZR+fzoKPx4AV/E2dFVMznfzdTpa65fST2BWhctV6Eo0JGQC/pX8MrSiDi9l/wurKxZ26ngsIeNRaV0Hr7duTRGihpxOJ5YvXy4/pG0i6roYr0TKwXglUg7GK5EyMFaJlIPxSqQcSonXVTnLcOMvF6PCWd7ouU+3vYMHl93xt87/yiuv+Ldvv/12//aE6ONgVDVfES5JM8WjjzkFI8JSYBA1QY81q/UYHFrTknxvdXWL46o9JkytwcM9e+HLwUPwZHpvPNerD+YeNxTXJyZDXa8aXqreLrV7UOHwyNtNkfZ/u70CtsNJ+YZyK934PaP5sUmvt9k9cDoDE/hajQYD0nthzOAhGJjeG4N698GY44aiR2KSfylol7XlOdceo4ns1eKxqvAeEFRqaOJHt5jMV0UNgqCpSchbLBbMmDFD3rZarXj33XdxpHweJ0q+OxWu3MaFsp6y3Sj5dhq8tiJ0RUzOE7IdGdhQuQynRPxTTm4rVbQmAXckvoCR5hPwWcHL+LRgNpxeR6e1tvd47ai0beqU6xMREREREREREREREf0dL655FB5f85X9H2/9P+RW1bSLb4ucqjzc/92T+PHHH+XfE5MTcdZZZ/mft2hCcGPv4Esw3z3gMoiCCIvGiCtSxgc99pqUiTCpa/JfIWp1i+NreEy0VosJYWFym3qTShWwtvyP+6txy++FmLmoANf+VoBZy4uwLNvaKEmfXe5GflXwotpNuXa4PYGv83h82La7Ej8sKsD8RQX4bmE+Fv1RhNwCe8BxOq0WkWFhiAi1yBX19UmJ9JbUHqMK7wlVWE3FfXP0PabKP0VTPDSp04KdFbr+lwXsufnmm/3br77wBGxbv4DP1fLNAw3ZM76Fu2hzs897rXmo3vImuqKWPw1SLF2QdSjq+7H4Q0RrEzDaHCyAlEG6ueCimFvR0zAAXxa+jiz7XrnlfYy25o6oo0WvTYFem4jy6j9hMUl3DhE1ZjAYAv6Dg4i6LsYrkXIwXomUg/FKpAyMVSLlYLwSKYcS4rXSUYEVWYuCHiMl7n/bPx+XD57ZqnNKCevnN7yJp9e9jup5ef79xSNdeHzdy3hozF3+au/7Bs1AmasK72Z8H3AOlSDi/kFX459pp/j3Pdz3TGRai/FLwdbD1wF8XiO8Hj2GWBJxSeIk/7HTo2OxqaJxJ4D6TomOadVc/re5HMtybAH7syrdeG1zOXKrPbior9m/v6C65W7XTo8P5Q4PIo016Vuv14cVa0tQUBzYXaGkzIUVa0sxYrAFPVOMLZ7XFBPbYmt7U0zdnA09zoB120fwOssaHafvczq0cUPqjh1xJ3weB9zZywIPFLUwDL8dmrhR/l0+RyWSM17ESQNNWLitGgfzyvDr23fjhKGzYTjhGWhSJ6O17PvmtXiMY988mEffj66Gyflj3F7bFuywrseVcf+GSgi8k0bJRplPRJKuF+bkPYUXsu/AxTG3YVjI8Ud1DBbTeBRX/AKfzwOhG723RERERERERERERETUvVndratmrnJVtvqc72//Ak+sfQU+rw/ONYcT5CKgGRuKlza9g3CdBbcPu1beLeWsXhh+O2b2Ogdzs35HkaMMycYYXJg6DQmG6IDz6lRqfDLiWvxWuANv71+DpYfsqHLVNA/fUOjFsJ+/xEWpvfDqiONxaUISPso+iEOOwMrzWgNDzJgWFYMqlwdGtQixXvv6+tYXOBol5uubu7cKY+P1SA2tabmvUbVuLXdtveP2HbQ2SszXt3FbORJiddDrms5BSe+z1+OFOTkVVXm58HmavkHAEBUNXWgYvFUVcK5aDG9JAdSIh1dtglddIZXlQx3fD7q0CVCHJga8VlDpYBr3EDylu+HKXiZXwYvmJGhSpkHUWerG4vPB+tu/4M5ajsvGW+TkvOSL1eWY2t8E66+3IuTcL6CK6t+q98nnbPl7523FMZ2ByfljmBQI84s/QLIuHUNNE9HdxGtTcVfSbHxR+Bo+yHsWGZZtODvqWqiF4GuPtGdr+/zSr1Bt34YQw3FH5ZpERERERERERERERER/V5QhBhH6KJTYg6/b3S9iUKvO5/a65ap5iSfDBl9JTaJY3d8EMbQmXSkl6K8ffBkM6rr15vuEpuDegVe2eH6p4n6QORWr89b5E/O1pEbxn2fuRZXLhc8nnIyPh43ETVs3YWdVVcBxw0Mi0E+Iw9QfdqHa7UWIWsTpqWG4vl80og2BuaVFB60tjmlxlhVXDaxJUKdHaCHl3Rt0rQ8Qb1YjRCsGJOeD8XqBgzk29OlZs6Z7LWuJDYU7C1CRWylPXmPQwJLUE+6qg/A0uCnBGB2LqP6D4HM64FgyHz5rzXsiQITKHSY/YJcK4Q1QDYpvdiyq8D7yozmegi1yYl4yfXAIQg0iKmxezN9UhWqHFyadC45N78A47QW0hjpyEBwHfmzhmIHoirjmfDfm8TS/Dohkm3UNDth34vTIK/1tQrobnWjA5TGzcEH0TVhZ8QtezrkbRa7co3Jtg643tOpIlFetPCrXI+Vxu93IycmRH9I2EXVdjFci5WC8EikH45VIGRirRMrBeCVSDiXEq0pU4Z+Drgt6TGpoTxyfclKrzrelaCcOVefL2/6qeamifExddXWpoxxr8jYe8Zhf2bUFRc1UxEvmH8rEupJC9DCa8NOo8fhk6Ej8q2cv3NOzN/5vwAiUFZjxQ2a5nJiXVLm9+CKjBJcuzsCh6sAK9txWtKnPq67L05m0IkYnG4IeP7mHKSBfV9mKa1TWu4b8e24l9i3Zh4pDNYl5icvmQtGearicSYgaOARhPdIR3qsPEsZMQMzgoRDVargzdvgT803xFubCm5eNI+U+uMS/rdeIOGdETcv/KocXP22uqXB3Hag7piXGgdcCQvA0t2nQDeiKmJzvxoL9Qff6vPJa870Nx6GvYRi6M+kP2QTLabgj6QVYPZV4LutWrK74Te4c0NHXlVrbS+vOd/S1SJlcLhfWrVsnP6RtIuq6GK9EysF4JVIOxiuRMjBWiZSD8UqkHEqJ19tH/Rcj4sY2+ZxJE4JXpn8kJ/Fbw+q2+VutuzcdTgLrBGiOa1D17W4+ud6Sedn7WjxmblaGP4czPiISt6Sl48a0nvhmTxUK7U3n1fJtbjy1KbDw06RpOcVq1AQWxk5LD8HIxMYJeulUZ/Y3o2+0LmC/thXX0Na7htTCPmtdtvweN6W62AZrqQphPXrBktIDWlPde+9pxXvnbsUxzfG5ApcAuGBU3U0ZP9R+H9y2VufT1GG9EDppdrPPG4fcCm0rbxw52pic78Z0Op3/odEEtttYX/U7cp2Z+EfkjG5bNd9Qsq4X7k5+FUNCJuCzgpfwQf4zcrK+I1lCxsHpLobNsadDr0PKJMWeXq+XH8dKHBIpFeOVSDkYr0TKwXglUgbGKpFyMF6JlEMp8WrUmPDFOYtwz9jHkGhOkffp1Qac1/cy/HTRGoyKH9/qc/UNT4daVMOTaYevyuNvaS/oAlOVAyKab43ekjKXo8Vjyl2N13DPrnbiz/zmq8Yly3IrkWetu5FiXHxd6/3mjIsPTMSLooDT+5lx67gInJhuwrgUI07rG4I7J0ZhWELjpH1SK66RVO8aFTkV8DiCd9Uu2VfSZAJcamvfotYc0wxVZN+A38f1MiDCVHNjx+87quHy+CBG9m1TPJiG3obwM3+GNukEfxW9JmYELCd9iNDjX+6yscU157uxcePGISkpqdF+t8+Fn0s+wXEh45CqP/I/ckqkF424NOZO9DeOxJeFr+HZrFvwz9h/yR0EOoJJPxBqlRnl1SthPMbea2qZ9B9e06dP7+xhEFErMF6JlIPxSqQcjFciZWCsEikH45VIOZQUr0aNEXeMvl9+2N12aFVaiC20E29KlCECZ/ecjo+/m+PfpxkUWDV/csrxSA1NPOKxpodYsLG0qMVjGtpf0XLSWUpnH6h0IM5YUwx7QrIRv2ZakW9tOhneJ0yDETGBlfC1IoxqTExrOUXbt2eIvKa809V0NbmUvA+31BXn2lsxD5fVBZ/HB0EdmLgWzBb4qoMXtApNvHetpek5HfaVz8BnL5N/V4kCpg004cs1Fai0e7FyrxUnT724zefVp50iP3xet9SWAYJKi66OlfPHoD/Lf0apuwCnRVze5tc689eh9MfzULn6ETgOLoTXUQElGhYyCfckvYZITTz+d+g+zC+eA7ev/dd1EQQVQk1j5Nb2RERERERERERERERESqVX648oMV/rqQn3QrWjrvpcPdDk304OScCLxz/8t8Z3Vc9+QZ/XiCL+mda70f7WtKhveJxRI+LBMRHoGx7YuVoyPEaHf48MR0a+F1+vduCjFQ78ttWFSnvwlu0lZV6sWu/E4uUOrF7vhMMpYPLYSISGNE7kpyUZMHpIWMA+VSvmIYgCBFXjinJ1j+DvnXxMz8Dq97YQNAYYTnweUNXdsHBSvc9/UXY0tP3OP/Lzi2pFJOYlrJw/xji8Niwo/QKjzdMQp61pQdJaUpsL65Y3IGjN8FrzULX2SSn7DHXkYGjjx0MbPwEqc+NK/a4qXBONmxOexOKyufip5CPssm3C5TF3I0Z75HdlNUVad76k4jfYnQehb+N7TkRERERERERERERE1B2obAKs+2uKPvWpIVCH6xBriMKFfc7ArUOulqvr/44revTD9zkH8FtedpPP/6vXKKzMqYJJY8P4+DCYtTVp0sERRkTp1ShqZs15SbxRgwHhga3no41qPDouEhnlLuwudUEUgEGRWkRo1Xj7dzt253oDjp+/wYlLJ+gwOl3dKP+2YrUTW3YEXn/9Xy4MGajGSZMiUVTqQlm5CyqVgLhoHUzGxine0IRQ5G3JD/oehSaYA9q9e6vscBdUwOczQUxIg/fQgSZfpxk4EmJoOP4OTfIEhJz7JRyb34XrwGKcONAHUciF1wcs2eOBINa0ue/umJzvxlyuuruPai0t+w42bxVOCf9nm8/nzP4dnvJ9CJ3yKjSRg+C1FcOZtxLO3D9h3f4erFvehCokCZqECXKyXh0xsMsHknSH17TwC9DHMBQfFTyH57JvxblRMzHWfHK7rUVhNgyFStTLre2ZnKeGMZqZmSlvp6amQqNpfIcdEXUNjFci5WC8EikH45VIGRirRMrBeCVSjmM1XletWuXfnnn2NXhp5kvten6pMv7LCdMxe+dmvJ2xHXl2q7x/sDkWQlU0Zq8uBiA9gBCNCrcMScGs4WnQiAJu6B+DxzceavbcNw6IgaqJvJGUS+oVppUftf63sHFiXuLyAB8udyDcJKB3XF3+bMNfrkaJ+Vqbt7lhNAgYNliHmMim2+TX0pl1CEsNQ1lmTev4RmMVBUT3i5a3vQ4XrCt2w5WRX9OzXyKqoU3sAdFbCJ+1quY1YZHQ9BsCdUovtAdVZB8YT3hG3paa5A/+aCg2b96MLVu2oLKyEmazGd0dk/PdmNsdGMhVnnK5SnyS5R9y1XhbSGs1SAl4TdxYOTEvEQ2R0Pf4h/zwuR1wFa6XE/XOgwth3/2FXGGvlY6XqupjR0PQGNFVpeh7Y1bSK5hX9Da+KHgVO6zrcFH0rTCpQv/2uUVRC7NxJMqr/kBs+EXtMl7qPjG6bds2eTsxMfGY+Q8wIiVivBIpB+OVSDkYr0TKwFglUg7GK5FyHKvxunLlSv/2+PHjWzze4XbC6/PBoAmelK5Pp1LhPwOH454Bw5Bns6LC4cG58/9CntUecFyVy4On1+1HhdONx8f1xgU9w2F1e/Hatnw4pVLu2vOJAm4fHIuzUsOwLc+FrDI3zDoRw5O0MGgaJ+uzij3Ylt30OvQSnw9Y8JfLn5x3u33YtLVxsW190vPHDdDIVfMNOao9KDvkkpZbR2isGonDE+T9DRP0ap0aSaOTYAgzwOfxouqnzfAUNFi62gs4s1RQx/eD6fS+EFQiBH1gt4DWkDoBwGUH1NoWi3jHjRsnJ+e9Xi/Wrl2LE044Ad0dk/PdmCgGri2xqPQr+ODDieEXtPlcjsxf4a3KgXnMI00+L6h1h1vbj5eDzlO6C87cP+RkvbQ2vXS3jSZ6KDRx4+RjVKY4dDU6UY+LYm5Ff+MIfF74Cp7Juhn/jLkLfY3D/va5LSHjkZn3LJyuAmg1Me0yXuoeMRoeHt5kvBJR18J4JVIOxiuRcjBeiZSBsUqkHIxXIuU4VuO1fnJeSso255eMVZi9+gv8kb1FzmsNjknHzSPOxWWDpre667EoCEgwmvDqxt3IszqbPe6Nv7Jw3cAkpIYaMKNvFM5KC8PC7AoU2l2INWhwUlIoDpX6cPXnJThQUpd0N2kFXDHKhAuGGALGFCwxX2vnIQ88Xh9UooD8Qi8czQ9PZrMDBUVexMfWJbo9Lh/2LK9E3k57XeU7gIhULfqdkICYftGoyK2E1+WBLlQvt7MXVTXfNWdGfuPEfD3u3DK4C6zQ9mhjoa/TBteaL+H560f4qooBlQaq3hOhGX8ZxKi0Jl8zbtw4vPnmm/7vx7GQnBd88u0L1F1kZ2cjOTlZ3s7KykJSUs0a8KWuQjxx8DpMC78Qp0Rc2qZz+jxOlP16GdRRg2Ee/UCbx+Sx5sMlVdTn/glX4SbA64bK0lNO0ktV9erwfu3WQr69lLmL8WnBi9ht3YypYefg9MgroBaO/M41j9eKrfsvQULkVYgOO7tdx0pERERERERERERERNSVSelIi8Uity6XugVI+aymvLr2a/zn9zeafO66oWdi9km3tSmn1OeD5SiyB69Mf3B0T9wxrOnk8f5iN26eWwqbq+l06vXjTLhkuMn/+w8bnPhlc/DrSV663AiNWsDBbDfmL3S0ePyZ0/VISlD538st88tRcrDprL4xXIURF0RA1URlv6Tyx01wZ5cEvZ6mZwxCTqrppN0aPocVji9mwZu3q4mT6aG74GmokgY3emrv3r3o3bu3vH3GGWfg+++/R1fPuf5drJw/Rvxa+il0ohFTjiAxbN/3Pbz2Yhj7XyX/7vN5IQitv5NLZYyFKv0c6NPPgc9lhTN/rZyst+/7DradH0PQh0MrVdQnTIAmeoRchd/ZwtSRuDH+cSwp/xbziz/AbtsmXB57N+KOcM14lWiE2ThMXneeyXkiIiIiIiIiIiIiIurOHA4HFi9ejN9++01Opg8bNkxOzEuGDh3a5Gv2lGThviX/1+w53970PU7rNQ4n9xwtJ6gPVZXD7nYhJTQCGlXj9ulSS/yWEvOSQlvzx7y/prrZxLzkg7XVOGOgASG6mrxZSmTL+bM4iyAn5iWRESKkew2ClVKLAhARXnfe0ixns4l5ibXUg9wdNiQd1/Ry0z5bC6X6LRzjczqAqnLAYIRgCJH3uVZ+3HRiXn7SDuePT0N/3YeN2tynp6fDZDKhurpaXurhnXfekdefDwsLwz/+8Q+MHDmyyxX4/l1Mzndj0h+5iooKFLpz8GfZrzgvZib0YtvWfZeS6bZdH0OXdipU5iQ4KraiIutTqHTRUBuSoTEkyT/V+jgIQvB1IyTSuvO6pMnyw+f1wF2yDc7clXDl/gHHgZ8AlVZew944+EYIYud+PaVgnxp2LnobhuCj/OfxQtbtOCvqWkwIPe2I/hBYTOORXfgK3J4yqFVhHTJmIiIiIiIiIiIiIiKizlRYWIipU6fKydZa9fMq/fr1a/J1c/76CV5p8fQg3ts8H6V2EU+t/BVbC3PlfZEGE64bOgH3TzgVerUmoLV9YogOOVVBKtN9gNehwesri+Uk+dhkI4Yl6OXxSkn5P/YHr2p3uCEfM71fzdrsg5JViAgRUFLVfLZ9cv+6MZqMInqmqpBxoPl2+Ok9VDAa6t6/gj0tV9oX7LY3m5wXzXp4iquCvl4M0Tfa56sohW/p9/Dt3Ah43DU7e/SHMOl0uP/6Kej5fOV58O5fB1X6mID90vssfR/Wr1+P/fv347rrrvM/9+ijj+Kiiy7Cp59+2q2Wf+g+M+kg99xzj/zFqH0sWbKkxdf88ssvOPfcc+X2BjqdTv4p/S7tP5o2bdqEDRs24MPdL0Gs1mCC5bQ2n8O292v4XNUw9LsCPp8HVfk/1yTljT3gseeiKu8HlO17DUU7HkbpvjdQlfsD7OWb4HEUyXctBSPdHaOJOg6mwTMRdvKHCDv5Ixj6XiZX6lcsuwNeWzG6giRdOv6V9BJGh56ErwvfwLt5j6HSU9bm81hMo+Wf5dWrO2CUpEQulwtbt26VH9I2EXVdjFci5WC8EikH45VIGRirRMrBeCVSju4er3fddVdAYl5SP2fUv3//Jl+3syizxXP/mb0D//x+jj8xLym2VePplQtwxldvwOUJTHJf0ie+2XOJXhVCq6PxxVoHXlhehOeXFeH8Tw7iwk8PIr/SjSqHF95WLA5ebqs7SFpH/popOhi0TR87oocKE/sGFqdOGqtDuKXpotCIMAGTxgR2nHbZg9/AUHNM8wPXBnlP/Mf0DTzGV14C74fPw7dtbV1iXrJ/B3yfvATBVm9fM7zFTX++td+HpvKKX3zxBebMmYPuhMn5IDZv3ozZs2e3+njpSzNz5kyceuqp+Pbbb5GTkwOn0yn/lH6X9kvPt5S0bi8ejweFYjYy1Vsxyndqm9dM9zoqYN/zBfQ9z4bKGAN76Rp4naUwJ5wDc8LZCE+/FVH9HkZYjxtgij0FKm04HFU7UZn9BUr2voDiXY+hLPM9VBcshKNyJ7zu4HfhSJX5xv6XI3TyK/Ba81G++Hq4ireiK9CKOlwQfROujX8A++078WzWzdhhXd+mc0jV8ib9IJRX/dlh4yRlcbvdyMjIkB/SNhF1XYxXIuVgvBIpB+OVSBkYq0TKwXglUo7uHK8LFy7Exx9/LG9Lrck///xzREdHBxzTXHLerKtbu705RVZrs8/9nrkb7/0VmIO55bgU9Atv4rw+AaaqKIiexln09Tl2XPlVFvQaQN+KJs+xoYHp1rRoFe4904Ap/dUINwlyor5njIgrJmkxY7IOotSnvh6pKv68fxgwZrhGTtJrtUB4mICxIzTyfr0+8Hi9ueVO1npz8ylgTVqU/GiOtncc1AmBHaB9S+bVtLJviscNtS9e7kIQlLamu0BDDb8P06ZNw3PPPef/fdasWSgoKEB3wbb2zfB6vXLrBOmPYkxMTKs+9Pvvvx9vvfWWvC2tnSFV3UtrJUh/XJ999lls3LhRfl76I/T44493+BykFg8bdL/C4o1BX3Fkm19v2/0Z4PPC0O+f8HrsqC5YBH3YcLmFfS1B1EBjTJUftbxuK9y2LLjs2XBbs2ArWQ2fZ3HNmDThNa3wjSnQ6KWW+InyOerTRPSH5YS3ULn6YbmC3nTcrdD1PLNLrCkxyDQG/05+DZ8WzMb/HXoIx4ediTMiZkAjNnMLVBOt7Q8VvwuPpxoqVcv/yFD3plKpkJCQ4N8moq6L8UqkHIxXIuVgvBIpA2OVSDkYr0TK0Z3jVWpFXktKsEptyVNSUjB+/Hj//tDQ0CZfe0bvCfhqR00+qTken7nZ53xeHZ7/cx1SQlJxfGo8TFoNQnVqzD9zOB5ctRdz9+bD4ampOk8QLbD6mk+T7i5yYuGeKpzYR48ft9ubPS7MIGBcWmBluyTSLOKCsTpcMBatotUKGDFEKz9aEtdfj5wtthaOaToRLpHybaZpg2Bfvx+O7TnwSb35pf16DXSDk6AfmlaXk6u0wrcvE76dm4JeT4QOAgzwoZlxCSJU6eOafKqqqq6412w24+uvv4bFYpHzqlJL+9LSUrz66qt47LHH0B0IvqNVxq0wL730Eu688055nYNzzjkHTz31lLz/999/x5QpUxodv3fvXvnODimZP3LkSCxbtgwGQ90X32q1YvLkyVi3bh3UajV27twpJ+7bW3Z2NpKTk+Xt1797DmsSvsVU2z8x2DQWw4cPb/V5pJbyZb/+E/o+F8E44CpUF/wGa9FSRPT+F1Satq2XLn3FvK4yuGxZctLebcuGy5YjLWgvfQWh0sf5167XGJKh0sXKQe/zumHd8ibse+dCl3oKTEPvgKBu/AeuM0hzWl7+A74vfg/RmkRcEXs34nVpLb7O6SrE9syrkBo7C+Hmxt8jIiIiIiIiIiIiIiIipZJyX/v27ZOTqyUlJf61wqOiolBcXLOc8eLFi+U16RtyedyY/NHN2Fywt8lz69UGlDuTGtUe+3xaeF1JgC/Ev8+i0+Lu8cfh3knD5LXnJeUOFzLKbTBqVHjo52KszQ6e4D6pVwiemh6Hm+aWIr+ycSt5qQD+wemhmJxesz67w+nD2u1e5Jf4YNILGNFfRHS4cMR5qKJsH3L3++D1+BCdJCI+XfBX3e9dUYnszU2PPyJVi8GnWSA0qNBv8jpuDzylVildB1W4CYLqcMW9wwn8tALYkgEfrPBq97R4LpeQC6/Q9LLQ6uFnQzvt1iafu+WWW/D666/L21IX8p9+qlm/XkrO1+Y2r776arz77rs4murnXLOysuRlzNsD29o3QXqDH3jgAXn7jTfegFbqH9ECqf19besR6e6N+ol5idFolPdLpOOk5H9H22ZZhihPMlI8TbcHCca28yNApYW+94XwuiphLV4OQ+T4NifmJVKiXWp5r7cch5C40xHWYyai+j+E8PTbEJJwtpyYd1mzUHXoW5RmvIyy/W/KLfAFUQ3TkFsQMuo+OLN/R8Wy2+Cx5qMrkOYkVc3flVSz7MEL2XdgWdn3LS5ZoNVEw6jvhfLqVUdppEREREREREREREREREeHXq/3d6iuTcyX2crhO5yRDI8Mb7IIVqJRqfHtBU9hYtJxjZ7rF5mCs/qc1URiXg2vMz0gMS8pdzhx/+/r8J/fVvv3WXQaDI8JldvcVztbXre9yulFhEmF184Lx7Q+OqjrZVX7xajxzBlh/sT82m1e3PGiC2/P8+D7ZV58tsCDu1924cMf3fB42lYnbavyYcEHbvz8rhubFnvw11IvFn3ixvevu1BWUDPu9Akh6DUpBLqQukGpdQJSRhgx6NTWJeYlgloFdbQZ6ihzXWJe6i7wyc/AX3ulNxjwta67g3rshVI//YZXgHroGdBMvbHZ19184w3+7XCNCz630/8davi96g7Y1r4JN910k9xC4corr5T/QCxZsiTo8VJC9rvvvpO3pUr7sWOb7lEh7e/bty927dqFefPm4ZVXXumwVu2WYSqUafMw0XkDBOl2lzbwVOfCfmA+jAOvhagxoTL3OwiCCGPU5HYbnyCooNbHyw+Ej5b3+TwOOK0HUHVoLkr3vQ5LypVyC31dyklQhfZA5aoHUL54JsyjH4ImZhi6ggRdD9yZ9CLmF8/BN0VvIc91EBdG39Jia/v80i/g9Togil2jEwAREREREREREREREdHfVZtEtdvt8Hg9eOq3F/DmH++g5HDVfIWqCie9cSZeO+8F9Ivt0+j1saYI/HLJi1iXuxO/Z26A2+vB6IQBOCFtONbmHsSHWzcHHO/zSOvZBy6fXN8LK7fg5lEDkRoWmDROj9Rie4Ej6FykYyRRJhX+e5IFtx/vRV6lB2adiNh6677v2O/F61+75Tx2wNgALFrrhbRywT9PaV1KVqqSX/ypG8WHGif0K4ohJ+3PvEkDvUlA0nFGJA4ywFrukVaphjFMBVHVDnnHbRlAVl2xrAAt4DUCorX51+iNUI0/B4bxZ8Gzezm8JdkQ9CFQ9ZkE0VK3XHZDjm2/wPDVf/2/H9qyAqXPjYfp9Adht0d2y+Q8K+cb+PLLLzF//nxERETIa2G0xv79+5GTkyNvS63rg6l9XmqFcODAAXSUuHM1iLQmI97Ts82vtW2fA1Frgb7nOXA7imAvXQNj1BSIKiM6kqDSQWfui7CeN0FUGeQKekflLvk5dVgvWKb+H9RhvVGx4l+w7f6ixSr1o0Ur6nBu9EycGvFPrK1YBKc3+B9zi2mcnJivtAVfn4O6P6fTibVr18oPaZuIui7GK5FyMF6JlIPxSqQMjFUi5WC8EilHd47X2iSqy+XCf394BC8tfR02qw04XAQtGERsyvkLZ71zEbLLanJrDUmFraMS+uOecf/EfROuwLQeIyEKIkbHp+K8voHFmz5PeLNjEbx6qBxxGPLCekQ8uAwnv7UR87YWyvmlS4e03Cn64uMsAb+H6ET0itIEJOYl85Z4GiXm61u0xouyytbltLJ2+ZpMzNeyVwO71tZVlEsV8qZwNUIi1UecmPe5PHCvyIJj9hrYH1gKz7y1jY4R3XE1dxs0Q5h0OgSNFoJGD/XAk6CddBU0oy4Imph37lyEqs9uQIizELVDL7F54KsqRNUXt6JiR13xNJPz3VRZWRluv/12efuZZ55BdLR0t03LduzY4d+WKueDqf98/de1N32ciL7F49v8OnfFATiyFsLQ7wp5fXdrwQKI6lAYItp+riMltc4PS5sJjaknKg5+AFvxn/J+URcK84RnYOhzibwWfdWax+Bz29FVDA2ZCJfPhT22v4Iep9cmQ69NQnl1zbzo2OXxeHDo0CH5IW0TUdfFeCVSDsYrkXIwXomUgbFKpByMVyLl6M7xWj+J+s6fc+SfPnddVlfQ1GRhi60leGXZG206t5S0/+CMK3DNkPFQCeLhhHjTFemixwytMxkqrxkON2BzebF8fzku+WQb7v05A6OTDbh6ZPOJ/TsmRGJAbMsJ4WqbDzszgyfepS7xm/e03EZfkrWz5eMO7mjduVrD5/TA+d5fcP+YAV+BFXD7IHhcjY4TfCEQ3WmAr0GXAp0ewrTzIY5oW/dtn88H6y9Pym3zpc9Vr675XjhrVhCXVaz8pFsm59nWvp577rkHeXl5GD9+PK655po2rVFfKykpKeixycnJTb6utaSK+2Byc3Pln2Xr3AgZFyX/UVdJ/TIOr83gcNRUdet0Ov9aH9IxtXdmube/B9EYC12P02GvPABr2WYYY8+GINYFm3S3k9vtll8vnafhful6Wm1Nqw+JdG7pGmq1GhpN3XmksUhjarhfanUiBaUx/mKotAtRlfcD3NJdM5YT5Xb4uv5XQxXeF9XrnkLZ7zdCO+y/EE2Jzc7JYDD4zy2NTxqnHOj1Ark95hSjSUKYKhqby/9EH+3QJuck7ZNeI1XPF1f8DKu1Sp6TdO62fE5Ha06t+Zxq51TLZrPJPzmnluckXaNHjx7yuRr+B5hS59QdPyfOiXOSSNupqanydsMlaZQ6p+74OXFOnJNEmkttvNY/t5Ln1B0/J86Jc6q9rhSv0nnqj13Jc+qOnxPnxDk192+rkufUHT8nzolzqr2uFK/SeeqPUclz6o6fE+fEOUmvl64rxau0r/b47vI5BfxdcnkhqlWByfnDSVjJ3M3f49kzH2/TnPRaLf7v1Evx4MTT8OvebfjXrztR5mhwg4NPBY0rttlln19eno0Te0Xgv1OjMSBGh3fWFGNnUU1Ceki8HteNjsApvU3yXF1uHxZsEjF/tRM5xV6E6AVMGijivAkqpMYbYW9l44OqainrrGrxc3LYW068u5x172fRHivyV7hRkeGVuxOEpKiRMEkHY093q+LJ/XsmfAfKA98+n/R5N+4SLXhDITrNgFgJT3wovGOGQtN3CAStrs3fPU/+TngK9/qP0akFVLt8cHjq5mYrK/RvS9/9zvgb0RGYnD9sxYoVeOedd+QvxptvvtmmteArKyv92yEhIUGPNZlM/m1pXfu2qp/cDyb3Wxe2mrciPDwcoaGh8j7py7lgwQJ5++STT/Z/GcvLy7F8+XLoXdkYKSxHyMh7pR7zKMr8FkWFLuQfKsf06XXnzszMxLZt2+RzH3/88f79u3btQkZGBhISEjBq1Cj//s2bN8t3f6Wnp2PQoEH+/atXr0ZpaSkGDhyIXr16+fcvXbpU/qM/cuRIJCaeDpUuGlW53yFz22rkVg/HhEknICLxeKjMqShbcS8yv70EhywXYsIZtzSak+Sss87ynzs/Px/r1q2TA256vUm1x5yk74wxPwpLvPMxqvo09O7du5k5JR5ed/4rLF76LjzONEyaNEleSqE1n9PRnFPrP6dE//7asXNOLc9J+kfIaDTKc6qoqOgWc+qOnxPnxDnVxqt0XWlOUmed7jCn7vg5cU6ck6S4uFgevzSnoUOHdos5dcfPiXPinCQbNmzwz6n+/wmo5Dl1x8+Jc+KcrFarPE5J/X9blTyn7vg5cU6ck2T79u3+OdX/t1XJc+qOnxPnxDlJc/r999/9c6qNV6XPqXZ//aSsVIUd8FNSLzlfbi+X16VXiao2zynRHIbBbi1OCtPjq/zquvNLKXCPBUILzcPfWpWDk/pE4NxBFqgylsARLmDihAlIiKlZ51xKBP/0y0J8s3UwDpbVVdjbnT58u9KDX9bZ8MbtOqTGiDDqAWsLjZ4rindKqf+gc5LP75HWeo8Neq6w6Jr3sGC9E7s+dQTchFC+xy0/rMmZsPU4EDSe9FodPGsONTq/x2OBShX4ntaSr+UNxWp9GDyldhx/ODHf1u+er7ok4LwltpqbEvaX1pXO2+t9b6Tvf2f8jegIbGt/+I6N66+/Xr4D6M4778TgwYPb9Hrpj1OtgD86Tah/t0XtHR4dwVnQ9vXYo6t+gyo0FdqUaXBW7QacWSiySW34j2yNivZiCB8NS8pV0KtLkWz+Ez53mbxfHZoK48RXYNOkIbn0Izh3f9Lp69Ane/rCKlaiyNf4j1l9Bl0vaNVRUOl2H7WxERERERERERERERERdaT61ci+w3lWX71qaGmN9FqRugh/Yv5InRVtRE9zXWW0RPS2XPn8V25gAa1O9Plbq9dafTAlIDFfn82lxaMfV0MlAscPC55uNemqkRBeV51urQIO7AxDwYF05GWGwVOvlXtYipS0Dl4932ekCo4yL/Z8aW22O4AxKxXq0rCg5/FVOABrvYsf5vWa4PHUFRs3VJkWi6KQ4PnQlojhLRcjO+t9b7pTW3vB19nZzC7g4YcfxiOPPIKUlBT57sL61e31n5dIdzNNmTIl4PnnnntObokv+fnnn3HKKac0ey3p+dNOO03efv755/Gvf/2r3dvajx49Wt7+6KOPEB8fL7d2kKrnpbubm2vtYD20BvZV/4Fl/OPQJExAacargKCDPv4K+biu0CqlqvwgrIc+gSC4EZZyBTTGVPn10vGuPZ/CtfdTaOPHIWTUffCJ+k5p/1Jlr8RDWZfj5PCLMD3qkqBzyin8PxRXLEOv+Lfla3b3Nj2cE+fEOXFOnBPnxDlxTpwT58Q5cU6cE+fEOXFOnBPnxDlxTpwT58Q5de85zZgxA19++aW8HXtrGtxmLzwlLpS9WbMss3agEeazouTtu46/FfdNn/W351TqcOPeJevw+dYMOD1eaJxxUHlruko3p1+MERvvHN3snFxuD859tBJlTReQ+716Uwj6Jqrw1AcuZNZMMYBOC9x+oQe9kkVotTos+wVYsQBw11vW3WQGzrgU6Du4Zk671nix8bemE/7pw4DxZ2qQtdCBg78GL9cPGyii/5WmZr97QrUbjif/bObVPqjVxVCpyiAIh28WMOiAMYPgGjsIbq/3b3/3St+6AN7MNfJ21JMH/fuL7kuRf36aGY7bPtksb7/xxhu48sorj2o8STnZ2o7m0lLlLS1t3lrHfHJ+586dGDJkiPwBfffddzjzzDMbHdNScl5qg3/jjTfK21999RXOP//8Zq/39ddf44ILLvC/bubMme06n/pflI8//tjfakRKzg8fPrzJ10hfgYqltwJeN0KnvgFH+UZU5nyFsB43QWNsXRv9o8XrrkZF1sdw2bJhTjwPektdOzVn7ipUrX0coi4cIeMelyvrO8M7uY/C6q3CbYnPBj2uyrYFe3PuRZ+kF2HU9zlq46OuQ/oHQ2oZJBkzZkyHr2NCREeO8UqkHIxXIuVgvBIpA2OVSDkYr0TK0Z3jddq0aVi0aJG8/b9Fb+GBRY/DU+FG2Ws1HYe1fQ0wnxeNQXED8MP1X8GsC75cdFuU2hzYXVyOP/dX4b6f6pK9Tbl9UhKePq2ujX9DBWVenPdYRYvXvO0sAy44Xge7w4ef/vRg6QYvyioBjRoY2V/EmcerkHC4Db2UmP99ftPnEUTgiluAtMPpopw9Xmz9w4P8AzVp3PBYAf3GiOg1TJQTy9vfr0bJ1noZ/iboI0WMvC/4TQqO19bDl1O3fHcjohe6K/tCkCrlYyIA9d/rdFCfO28nKt6+AD57BfrMzpZb2/cIV2PtjQmA1oilyTfivGtul499/PHH8d///hdHU0cl54/5Nednz54tJ+Z79uwpr6H1+eefNzpm69at/u3FixcjLy9P3j7jjDPkKvv6H0ZLle3Sh9fW9eOPVGvvu3DlrYS7eBvME5+Te4xUFyyENnRQl0vMS0S1CZbUa1CZ+w0qs7+Ax1EEY/SJ8h8ibfxYWKa+icpVD6Di9xthGvkf6BI7dl2IpgwwjcZXha/B6qmEUWVu9jiTfiDUqlCUVf/B5PwxSrqjS1rLp3abiLouxiuRcjBeiZSD8UqkDIxVIuVgvBIpR3eO16KiIvmnVCF9w9RrkRybhCe/fw4rUZOcF70irhp9Ge4/+Z52TcxLwg06jEmKwfD4KHyyvhjbGqxFX8uiU6GXIQw3vpUDq9OL/ok6XDoxDCnRddXeuroC76Bqj9PrBJw7VY1zpvjgdNUk58V6LfzttpqK+eb4vMDvPwJXHU4XJfYW5YdHWnfdB6g0ge3rVa0Yn9jEMc69VthWlsNT6oYYpoa+bywQJDmvGpkIoU9NIXB7U8f1Q+jMubD+8jQc7jnyPmlpAU3vyTCeci9iM0oafa+6g2M+OV/b6mDfvn245JK6NuTNeeyxx/zb+/fvl5PzAwYMCKjED6b+8/3790dHqm3p0FIC37rtXWiih0ITMwK2kj/gdZXDlHo1uipBVMOccAHU2mhUFyyAx1kEc8J5EEQNVOYkWKb+D1Xrn0XVqofg6XspDAOvgSDdcnSUDDCOhHRfxA7reowwT2l+HoIIi2kMyqtXIj5ihnyDAR1bpBYuAwcO9G8TUdfFeCVSDsYrkXIwXomUgbFKpByMVyLl6M7xWlhYKP+MioqS8x7/GHgqpqROgvm+mmLG0Ykj8dxZT3ToGDQqEfOuGowLPtyKTYcC15aPNegQZ4/Cg5/WjFOycHMV/vdrMR6/OA5XTKlZY95iEjEgRYXtBz3NXkfKvY/pF5gBl+YstbJvaO92wFXTZb1ZBzOAqgogpF6xu0rddO4ovL8GhRuDV85Lx9TyeX0on5MrJ+brkxr6m/pGQ1teBEg3AtQjDo2B+oze6EjqmD4wX/4ubFd9ILfSNyYNQOiMD+Xnosp3NfpedQfdK+I7SY8ePZCQkIBDhw5h6dKlQY9dtmyZ/FNqN5+Wltah42rNH3Rn9mJ4yvfBNOU1+Lx2WAsXQx8+GmpdNLoy6Y+bMXoqRG2k3ILf4yyFJeVyiOoQCGoDQkY/CHt4P1i3/h/cZbsRMuoBiLrgrTvaS5g6Cgm6NGy3rg2anJdYTONRXLEQDtdB6LWd04afOo9052CvXs23zSGiroPxSqQcjFci5WC8EikDY5VIORivRMrRXeNVKgitrXCOjq7LM0mFrlLrfqlgtrS4rhq6IxRW2LG/qBIWgxYrbhqOxRll+G1PCZweH0YlheDDn2z4q7CmcLc+twf4zyd56BmrxcT+JnnfFSfp8Z93m190/pSRWsSGt644VKqcb+1x9ZPzzYkaokHWbyJsBU13XlDpgYSJdcslVM0vapSYr1W9SwSm9oIxxQtfsQ0wqKEaHAMh2gAcKpMT+4i3QNB1TFq5tLTU30EiKibOv7/+d4iV893InDlz5EcwLa05LyWKzzrrLLzxxhtyZfyqVaswduzYRueR9tdWzkvHd3altM/rhnX7+9DEj4MmciCq8n+R9xmjT4BS6C3HQaUNR/nBD1G673VYUq6EWh8nv7eGPhdBHdYblasfQfnvM2Ee+xjUYUfnH7sBxlFYWfELvD4vxCBV+yGGIVCJBpRXrYQ+gsl5IiIiIiIiIiIiIiJSpqqqKnkp6drK+VpSziYuLg6ZmZn+paP/DimRO2/jNsz5Yw0OFJYg2hyCkwYNwrp9bny3MQseKZkMYFBiGB4/bxieOb0mN7RiRzX+yiwLeu43FhT7k/MTBmhw9/kGvDzPBqc78LipQzS46zxDq8ccGdPyMWoNEBrWuvOJagEDrwvB9veqYM0NTNBrzAL6X2WCLqwmP+VzelG9KPhNEdY/KxFyTm+IBlVNMv7nrcCC7UCFveYAgwbeccmAqRrYvgtwuYHURAhTx0PokYK/I6/ed0L6ntQKCwuTu4R7PB5WzlNjd9xxB95++2243W7ceuutcoW8wVAXlDabTd5fW9EuHd/ZHJm/wFuVA/PYR+FxlcNW/AeMUZOg0hydCvP2ojEkI7znzSjP/ABl+99EaNIl0Jr71jwXMxyWE99C5coHULHkFpiG/wva5GkdfmPEQNNo/Fb6FTIdu9BD3/zyBaKohdk4EuXVfyI24uIOHRMREREREREREREREVFHqZ9ArV/1LKlNzkvHuFwuuXvAkXC5Pbj4/z7CvA1b/ft8vmL8vkNKeQb2k9+aU4azX/kdH10/Cf8c1xMrdjZfBV9LSuBLHQBq80hnjtNh4iANFqx3IrvIixCDICfm+ybVpVjLynxYvNiDHTtqkuT9+ok44QQVwsPrclFpvYCIaKAkSI558EhAW1fsXnPuTC8yFntQluWDxiAgcaSI1Aki1FoB+ggRw+4yo3SnG6W7XYAHMKeqETlEE7BGveugHT5r0xX2/vfQ4YNrvw26ASHAh6uApbsDn7eVA79vBoR6bf6zc+H7Yx1wwekQTpmKI5Wbm+vfjo+P92+LoojIyEgUFBSwcp4a69OnD2bNmoWnn34a69atw4QJE/Dvf/8b6enpyMjIwDPPPIONGzfKx959993o3btj12iQ1N6d1BSfxwnbjg+gTT4RaktPVObMhSDqYIg8Hkqk0oQhrMdMVGZ/jvKDHyAk7h8wRI6vec4YC8vkV1G9aTaq1j4JdcY30KefB23SFHn9+o6QqusLk8qMbdVrgibnJWEh43Eg7xk4XfnQamI7ZDzUNdntdv9SGJMnT4Zer+/sIRFRMxivRMrBeCVSDsYrkTIwVomUg/FKpBzdNV7rJ1DrV843rIjOz89HUlLSEV3jyR9/C0jMy3xSbqWJhd6lBK9Xgxv/bzveml+E4iofnE4VNBoDhGa6Hnu8UrJfqvav2xdhFnHxlKY/o61bvXjxRRds9drWb93qwfz5Htx5pwbHHVdzHelyZ10GfPQa4G5iqXgpcX/imYH7ts1zY8sX9de89+HQBi92zhcw5T4NTJECBFFAxACN/GiOL3heHoLXA62rGu73t8OntkOXtz/w9fACQmZgYr7+81/9CKQlQ+jXq10r52u/R1JyvjtVzrduIQRqlSeeeAJXX321vC0l4i+++GKMGjVK/lmbmL/mmmvw+OOPH5XxSHf2NMe+7zt47SUw9p8Bt6MA9rL1MEWfAFFahEKhpLGHplwBQ+QEVOX9gMrc7+Hz1fyhENQ6mEb8G+YJT0PQhKBq7RMo+/liWHd8CK+jrP3HIojobxwhrzvfErNxBERBLVfP07FFilHpP8KkR7B4JaLOx3glUg7GK5FyMF6JlIGxSqQcjFci5eiu8Vo/Od+wcj4lpa71+b59+47o/E63G/9bHJhL8fmkLHrTveA1rlDonbHwOgxYv68SBwqqYHeWo8paCK+3QZ/6w4b1NEAUW9d9ubTU1ygxX8tuh/xccXHd55uSDlzzL6DfcXXJf6lSfuQk4Oq7AJO57vXZ6zwNEvN1Kg/58MdsV6u/O5okHaBtek5qtx0h1gLoXFVAdiXE7IImjioHhKbfr1q+hctxpDIyMvzbycnJAc/Vfo+kDuVWqxXdASvn25HUXuHdd9/Feeedh7feegtr166V/xBJd3VISfqZM2fi1FNPPWrj6d+/v/+PndRKv5bPZYVt1yfQpZ0GlTlJXq9d1IRDHzHmqI2to0h3OoXEnQ6VNgpVud/B4yyW29xLiXupBYk2boz8cFdkwr53Luy7PoVt58fQpUyTq+nVYentuu78usolKHMXIUwdeIdYfSrRiBDjMJRXr0J02Dntdn3q+qS2PSNHjvRvE1HXxXglUg7GK5FyMF6JlIGxSqQcjFci5eiu8Vq/urlh5Xy/fv382zt27MDxx7e9k/PuvEIUVTVsTa9qshZZ5dFD42l6GWepsNNqL4HJEN1oGeRrT4xo9XgWLfI0mZiv5XDUHHPhhXU5urgk4KLrAacDcNgAYwigaiJbu3N+04n5WiUZPhTu8CFmQMs3EohGFYzjLLAuLWtUMW+wl0JAXZJfbCoJL7S8HAD2Blbbt8WOHTsCcpv11f8eSd+v1NRUKB2T863w8MMPy4/WOu200+RHZ4uNjW10Z5LEtvdrOUFv6Hc5XNUH4KzcAXPSRRAE6Q9YcNKdRJ68tVBFDoSo67pr0xsixkCljUBF1qfyOvSWlCuh0ob7n1eHpiJk+F3wDroOjgM/wp7xLRwHfoY6eggM6edBkzCh2ZYmrdXPOByiIGC7dR3Gh54S9FiLaTyyC1+Gy10KjbpunNS9STfNJCYmdvYwiKgVGK9EysF4JVIOxiuRMjBWiZSD8UqkHN01XoNVztdPutZPxraFSmwqbyMlsaW+7YHPqd31ytCby3d5nFCr6xZ5v35aBM4cWfe64jIP5v9mw7bdLqhVwKghOkyfrIfRUHOt2jXmg9m+veljpIr5huvL+8fm9qFoV8tV8QXbvYgZUDMWZ7EHBQttqM5wQdQICBuuReQkA0RdTfLefH4s3IcccO6pu5tAamVfPzEv8ck3OzTUik4CTX42rbPj8PdBiotevQJb49f/HknfLybnSXG8jgrY93wBffrZEA3RqNj/JtT6BOhCh7Tq9Y4Nr8N54Fc5cS3owyFaekAdfRxUcSOhMidCELvOHV7akN4I63kjyjM/QOm+12FJuRwaY2DQilozDH0uhr7XBXAeWi5X01euehCiKQ76nufI3QVEbcgRXd+oMqOHfgC2V69pRXJ+NLILgQrrakS2cCwREREREREREREREVFXrpyPjIwMWjl/JHrHRiEx3IKc0nL/PkHwweerCGxt7wNUvmYy3/VEhHgQFapFvyQdrpgcjuMHmPzPLV9jx4MvlMNmr0teL/7Tgfe/rMLsh8KRnqqR16ZvyZGsWtDal9Seu3i5DRkvl8NXby37kj/syPmqGv0eDoc+Xg1RLyLirlTYVpXDtrIcnjIXNPluoN5rJG6PEWpVg/bxPhMglAQfTN8jW2/e6/Vi165d8nZ6enqjThINK+e7A645f4yx7f5MjlZD30vhrNwOt+0gTLGnNmrb0RSvrQSug4uhsvSEJu1UCFoLPAV/wb7lPVgX3YLKHy9D9e93wf7Xu3DlroHXmt/pa6WodTEI73kjVLoolB14B/byzU0eJ4gq6JKmwDLlVVhO+D9oIo+DddvbKPv5AlRvehmeyqwjbm2/y7YJLq8z+DhVFpj0g1FexXXniYiIiIiIiIiIiIhIeYxGo3/7r7/+CnguLi4O4eE1nYM3btx4RPkjtUqFO09qoh2+kH+4gr5tLjs+HCueSMc7NyYFJOYzs93477NlAYn5WgXFXtz1aCnsDh/69m05zdqaYxpSqQVEpLect4vuJ6J6nwt7XwxMzNdy5Hmw69FSuRJfIqgFGCeGIfLuVMQ80QvqZH2j13i9Ong8DfeHAj5t8wMRBAgnt32ZAsnOnTtht9vl7YEDB6KhzZs3N/n9UjIm57sxW4OFLry2YtgzvoG+9wUQtGZUF/wKjak3tCGtu5vFvukNwOeGYfTdMIy4GSEnvQbzWV/BNPl5aNPPhcqQAG9ZJpx75sG28jFULboNVQtvgHXdC3Ds+xHuoq3wOqW7l44uUR2CsNRroQsdjMrsz1Ge9Qk8jrrWKg2pw/sgZNS9CD/1C+h7XwRH9hKULbgCFX/8B878tW36B2OAcaScmM+wb2nxWItpHCptm+HxtGLtDuo2Mfrdd9/Jj4bxSkRdC+OVSDkYr0TKwXglUgbGKpFyMF6JlKO7xusFF1zg33777bcD8ilSkeiYMWP8FdD79u07omvcftIkzJwyLmCfIDgBYR/M+sMt5AXAIzhaPNeEfvWq7ev5Yn41nE0ku2vlF3mxYJkN06apoA2Ss5aKwE86qeUlpZvS7/Tgr7MkC4gdKCB3XnVNV/9m2A95ULq66fdC1b+p+QtwuCLhcpv8lfmCnE5OA7SGJk4iQrjqQgg9U3AkVq5c6d+u/X7UysnJwY8//ihvS8tAjB8/Ht0B29ofQ2w7P4Kg0kHf+0LYy9bD4yiEOfGiVr3WU3UI7txVUMWOhMpS1xpeUGmgjh4gPyQ+jxPekj1wF2yGO38jPBWZcFcthztrhVTGDkFjghgSB1V4H4jmZKhCUyGak+RxdSRBVMOceIF8I0J1wQKUZMyGIXwsjNEnQFTX3Q1Vn6iPgHHADBj6/hPO7MWwSS3vV9wDlTkF+vRzoUudDkHd+K6i+uK0qQhXR2Fb9Vr0M45oMTmfU/QWKqxrEW6e8rfmS0REREREREREREREdDRJ68pPnDgRK1askFvXS4nX+gnVQYMG4ZdffpG3peekNuZtJYoi/nf5ebh83Ai8v2ItDhSXINocgotHD8Wpg/tha045duWWY1eWA8/OzWn2PH1jQrBliw1r1mWhfw8jpo8Ph05bU9O8bnPwbsiStZudOPMkI267TY2XX3bD5WqcmL/1VjWio1uxXnsTkseK6H9AhR3fN+4IYIwCJt6lgSAKqPir5bFWbHYgckJNPstT7oJtaQk8RU6o9FoI0pydDbP7AlzucLhUYTBcmQbBpIbQMxowqYFV6+HbsgvyhFOTIBw/BkJ04BIGbbFixQr/9qhRowKemzNnjtz2XnL11VfLa9J3B4Kvs/uOU7vKzs5GcnKyvH3gwAGkptYk0j3VuShbcDmMA6+Fvtd5KNnzHDSmnghNurhV561e9l94iv5CyPR3IJpiWz0en8sGT8luuAu3w1v4Fzzl++HzuSCo1IBKU5ew9yfqk6GKGghRG3qE70ArxuR1wVa8AtaipfLvxuipMESMhyBqgr/O54O7eIu8Lr20Pr2gNkHX43To08+Bytj8e/JV4f+w07oe96e80+LyAbuz74RWHY20uPuOcHakJB6PB+XlNWvjWCwWqFRHdgcdEXU8xiuRcjBeiZSD8UqkDIxVIuVgvBIpR3eO1w8//BBXXnmlvD1jxgy8//778va2bdswdepU/7rhp5xyCn7++ecOHctTc/fhia/3B+70AdEuE1yVgc3FYyI0ePU/6ZgwNBTnzyxEdl7wNvknjNfhyX/XtOkvLPRhwQIPduyoSST36yfKFfOxsUeWmK+vcJcXGYs8KM/2SSk1JI0S0XOKChpjzbnXX54Pd0XwVG/0NAN63mpB1bd5KH8nC3DVHa/We2AKtUHwNDiHToTujsFQD61b870jREZGoqSkZj37KVOmYN68eXJMSEn5Xr16Yf/+/XJuTeq0kJaWhs7KuWZlZSEpKaldzsvkfDfT3Belau1TcBWsR9j0T2Ar/RPVhYsQ0esuqLQRLZ7TXboX1sW3Q514PIxj//23xudzVsNTvAueou1wF22HtyIT8LoAjQGCRg8fvBBNMdAPuhqqsLbfMdUWXncVrIW/w1a6CqI6FKaYk6CzDGsxgS7xWPNhz5gHx/758LmroU2YJN/0oI4c3Oj1UtX827mP4D8p/0OcNnhbj/zSL5Ff+jkGpX0GUezYbgJERERERERERERERETtyWq1IiEhQb75QKfT4ZprrsGwYcMwa9Ys/w0Jkp49eyIjI6PDx7NxXwXeXZSDndnVCNGrUJmlwq69NWucN6TXifjptYH4+GsHFixr+phat11txqVnNd2Z+Wja9XgpytYGb+Hf4+ZQmFCNsucb3KhwmCB6ETreABXc8s0LUrt79YmJECODd4/+u3Jzc+XvSn1Sd4W7774b3377rZyol5x88sn49ddfcbR1VHK+e9T/U1Du8v1wZC2Eacjt8MEtV4wbwse0KjEvcWz8HyBqoB96498ei6A1QR0/XH5IqWefowKeop3wFO+QE/aeykPwOjJgW/8SdP0vgSZhfIeuRR8Sfwb0EeNQnf8LKnO+kivqTbGnye3vg5Eq5U2DZ8LY/0o4Mn+FPeMbVCy9HdrkE2EefX/Asb0Nx0EjaLC9em2LyXmLaTxyiz9EpW0jLKax7TJPIiIiIiKi/2fvLqCjurYGjv/HPTNxdwjuVrRAkUJL3d3lq7+6e1+9ry2vfXV36lSgUFqKu0sIIe6ecf3WvSmhaUiQQsvA+a01KzdXzr0nM3vKe/ucfQRBEARBEARBEP4ORqOR888/n+nTp+PxeHjppZfaHDeZTDgcDnkmtDQrOjMz86A+z4CsCKZntVRrXpfrYOq1Gzs81+0J8tInZVx2YmqnyXmTUcFx43atv+5oDrJqkZem+iBxSSoGDNei1vz1WfM7eZqClC3w4m0OYklRkTBMi1Ld0n7C8cZOk/Nqq5KokTpqrsrt8JxQUEnzOj+xj2eD04cyyXzQE/OSnUsc7PzcSAM7NmzY0Fp5YafLL7+cw4lIzh/G1q5dS1VVFebCl9D7jURlHoejalZrKfe94a9ah79+C9qMqSj1B77UvEIXgTp5qPySBO0VuJa9QLB5O+4N7xC0l6PtchIK5cEr6aLWxWBNOw+fswB7xQ80Fr6B1twNU/yxqPUJnT+/Wo8++0R0WSfg3v4lzrUv4s85E7Wta+s5WqWOLoa+bHKuYHzkqZ22p9emoNem0mhfJJLzRwCpLIv0jxOJNIJQWitHEIRDk4hXQQgfIl4FIXyIeBWE8CBiVRDCh4hXQQgfh3u83nffffKs6JkzZ7b2UzJ16lQGDx7MQw89JP8ulbX/v//7vwNyzxVbSpj++SIWbSiUfx/ZJ51rThnB4O67ZjvPWly/x3Z+XFTPf27L5qbLLDz3enO743qdgsdus2GNUMrLIX/7oYvP33Tg+UMu3xql4LJbLQwZ89cqJEvtb3zLyZb3nAT+sLS8IVbJkDstJA7TYu2vI+VcMyUf2NtdrzIqyLnDRrDMTaCy47XpVUEnutp6nJf9XslAAaqhCWiPMuBfvIHgjkoURh2q4d3RnDIcZZyNA+H7779v3ZaWP7jrrrvaVFOQSt5ffPHFnHLKKRxORFn7w8wfSyy89957ZMUEiS99DlfGZfQYfQ51ec9gjB2PKXb8XrVnn301QWcV5uPeR6nZNQroYJLWqfesehlf2VIwmFDHD0Tf6yIUWvPBv3cohLdpA/aqHwl669HbBmGMm4hKs+eBCaFggIbZ56OO7IZl2P1tji1o/I4val7h0YyPMKg6L3MizZyvbfqeXhnvo1CI8TOHM5fLxezZs1vLshgMf0+MCYKw70S8CkL4EPEqCOFDxKsghAcRq4IQPkS8CkL4OFLitbm5WU7ASjOkpfXDb7/9dnlmtFTmXnLcccfJCfy/6q3vV3D9f76Rczx/JC1DPP2mE7lwyiD59wf/V8hrX1R22pa0cnHRj0Pkazdt8zHjOwcbc32o1QqG9NNyxvFGkuJbcjfffezkvRcdu29HCXc9Z6XPYO1+92vDmw42vuHc7TGlGsb910ZMb438e/NmL5XfO3Hk+VBqFVgH6oifakQXq8KzromaW7bsth110IHeXy3l4/8ghEJVilK5m8EMFgP6f1+Iqlsyf4XP5yMmJoampiaioqLkyca1tbXywA1psMpJJ53EmDFjUKv/uTyZKGsv7Bdr3Xf4tAl4bcNwVP2EUmXEGD1qr671liwg0FSIrtsZf1tiXqLQGNANvRHFxo/x5s3EX74Cp7sOfZ/LUJmTDu69FQp01j5oI3rirluKo3ou7sa1GGNGY4gejVLVcRkPaXa/IecsHGv+Q6C5BJVlV5D2NA5hRuhltrhWMcA8utNnsJpHyGvP210bsBj7H9D+CYIgCIIgCIIgCIIgCIIgCIIg/B0sFgtnnnmm/NqpX79+8jrjZWVlzJkzR16H3mq17vc9thRWccPz7RPzEmmflLQf3juNnNRYctKNe2wvJ90g54okPbtquO/G3c8Sd7tCfP7W7hPn8r2D8Omrjv1OznubgvKM+Y4E/bDhdQdj/9PyfJYeWvm1O+pUA0jFGYJ/fsgQOn/tnxLzUq6sfveJeUmzC8/DH2N4+0YU6v2vev3zzz/LiXnJsccei0qlIi4uTl4O4XAnkvOHMRsl6F251CRcgp56PI1rMCeeiEK55y8C6QvLs/4NFFoL2p7n8XdTKJToep+D0pKEe+2bBOvycK18Fn3P81HH9vsb7q/CED0CnW0gzppfcNbMx1W3FFPcRPSRg+Xju6NLPxbn5rdxbfsE88CbW/dHaeLk9ealdef3lJw3aLPRqmNodCwSyfnDnFSuSBoVuXNbEIRDl4hXQQgfIl4FIXyIeBWE8CBiVRDCh4hXQQgfR3K8Sonv0047jRdeeEEuef/eB+8RSNDy3dI5NDmb6ZqcxfkTTmfioKNbk+SdeX3mcoLBjouEB4JB3pi5nCeunsq0o6N4+NUimhyBDs8///i4verH+uVenPbOi5Nv2+inpjJATPy+J7HLFnnblLLfncrlPjmJr43ofFkEVaQG/YhI3AvaJtxVIRfKdhl7UKhqO20vVNlAYMlW1KN6sr/ef//91u3TTz+dI4lIzh/GEt3z8OrTcBl7YwssQaWNlhPLe8OX/yNBRyX6PpegVP1zHxNN+liUpnhcy54n1FyJe91raLOOR5Mxea++lP8qaaa8Of5YDFFH4aiajb38a1x1CzHFT0Fr7t7uGRQqLYYup+Pc9CbGHhehNES3HutlGsLSpjnywIfOnl06Js2eb7D/RnLM1X9LP4V/hlSa5XAtVyQIhxsRr4IQPkS8CkL4EPEqCOFBxKoghA8Rr4IQPo70eD3vvPPk5LzkzkfvxTA8sfVYfnkhs1bM45zxp/DsVS0lzjuzOrd0j/dbtbXlHLNRxXO3ZnHVI3n4/O0T68cMs3Lu1NjW37dudvHt13WUlXix2tRMnGzlqJEWlEoFjua9WzVcTuDHs8+8e9m+zxFCGwEBV5CaHxpoXNhM0B/C3NNA3MlRaONayt7b/i+d6jwngQpP67XKkH83LUo5LPeen2/GT3i+/UxeB0DdvzeaKRNQWve8RLTEbrfzxRdfyNuRkZFMmTKFI0nnn2ghbA3OAKO/lIaoqeiUVWiCpZjipYT2nkfnBINBPJvfR6mPQtP1FP5pqpgeGMc8iNKQSMjRgDfvKzwb3yLkd/99z6CxEZF8Brasa1CqI2gqepfGglfxuYrbnavLOkFO0rvyZrTZL5W2twcaKfJs2+P9rKYR+Pz1OD1bD2g/BEEQBEEQBEEQBEEQBEEQBEEQ/kmDBw8mJydH3raXNRBw+tqd8+HPX/DuT5/usS2tRr1P50weEckXz/aQf2rULZMjM5N13H9lGq/f3xWNWilPsnzh2XIuOiePzz+pY/FCOz9+18DN1xdyw9U7cDgCJKbuOd8mzX2Nid+/VKxlL9pXG0AfpcS1w83aU3PZ8XApdT830TC/mZL/VbH6hK3Uzm5oeZYYLbEv9MR0SjwKS0vbIX1L4v7PdrNCQDuBjZsIrFpHYOVaPG98gP3i6/Bv2P269n/21Vdf4XS2lOw/44wzjrjqESI5f5g6ezjYVel4DF2JUK3Fr4hDa+m1V9f6ts4g6K5H1+vCPY5I+rsozfEYR9+POrYvIWcTvrKluFa/QNBV87c+h8aQjDX9UiLSLiIYcNGQ/xJNJR8R8NbtelaNCX3WyXjyvybobW7dn6HvgVFlZpNz2R7vY9L3RK2yyqXthcNXIBCgrq5OfknbgiAcukS8CkL4EPEqCOFDxKsghAcRq4IQPkS8CkL4ONLjVaoYPGbSuNbf3QUtCeQ/e+37XaXPOzJhcJd9PmdAdzNvPNCVvG8Hs33mYH57qx+Xn5ogJ+YlX35Wx0fv7T7/tGKZgycfLSWnj5rkjM4T6MPH6zCa2+bZpFntm2Y5+fSGWt65sJpv7qmjePWu2ew7xQ/WYNxDYj99sh4FIbZcV4C3vP0Ah5AnRN7dxTi2uuTfVTYNtqvSSZwxkKSZg4mdMQLMf07QKyBk6fS+cts42u5otuO8798Em3blxTry2muvtW6fe+65HGkOjcyrcMClRUOJZjQGZQkaRT0u1eC9Ko8eDPjwbJuB0pSEJmMChxKF1oR+2L/QZk4Gl52AvA79cwTqc//e51Ao0Fm6EZl9PeakU/A5dlCX9yz2iu8IBlpG+ui7nEoo6Med/3XrdSqFiu7GgfK683u+hxKraRiN9sXyCC3h8OT1evntt9/kl7QtCMKhS8SrIIQPEa+CED5EvApCeBCxKgjhQ8SrIIQPEa+Q0jdTzgNLXPn1hALt1z7fVppPk6PzZO9FUwcTbTV2eDzGZuLCKYN2e0ylUqDT/il5HgzxwbvVnd5zzqxGKsp9XHmnBZ2+g/smKDnn/0xt9rmbgrx9QTWf3VjH5tkuCpZ5WP25kzfPqeb7h+vb5IOUagVD77ag1HY8s773ZSZq5zTiKW2fmN9Jqlxf8WFtuzyXQqtEadCgv6pvu2uCwdhOZ8+3JOZbEv5tNNvx/Ti34wuBNWvWMH/+fHm7W7dujBw5kiONSM4fplbsAKc6iQjVetzBJALKhL26zrPhXUJeO/q+l+02me9uqKdizQrqtm3BUVmOz+X6W5PHCqUaXd8L0fe9CNxuQvYqXGtexlcy/29PYksJdEPkEKK63oIxdhzu+mU0Fr4jH1PqI9FnTMWd9zkh/64RTz2Ngyn2bKfRv2umfWel7T2+ctzewoPaD0EQBEEQBEEQBEEQBEEQBEEQhL9TTFwsuqSWGdohTwBPSdNuz9tThefoCCNfPXYBCVHtZ3snRlvkY1ERHSfv/6y8zEdZJ8luSTAIq1c6yOmt4aFXIhk8Wovi98fU6mD8ND0Pv2IjKrbtzPpv7qmnePXuB2Ms/9Ahv/4ofpCW8S/ZSByubR3IoDYo6HKKnmP+Z0MfqaRp+Z9msO9G4zJ7h8e0x2ejv30Iiug/jDIImSA2B9TtKwOEcBKkpMP2Ams3dvosL7zwQuv29ddff8hU8P47KUJiWu5hpaSkhNTUVFKi4O23nyI1ajtVvskYI9IYOHBgp9cGfU7s350nz5o3T5ze7ngoGKRm8wYUKhVKtQavvUn+BlJqdegirPJLa4lAqdrzOhgHgr9qPe7lLxJSBFHoDGiSR6LNOU1O4P8TPE2baCp+T55Rr9YnEnCU0zDrPEz9rkOffZJ8jrTm/L0F53JW7A0Mi5jYaXvBkI+NO84h1nYKCVFn/029EARBEARBEARBEARBEARBEARBOLjW529izCVTafi1ZYKi2qbHNj6jzcTRQV378sO/P96r9pxuLzN+Wc/CdS3tjeybzmlj+2DUazvOM/mD/PJrJXPnluN0+unaNYLhQxO49oriPd7vrvuTmXZSVOvvLkcQhz1EhE2JVtd+8mtdkZ8XJ1d02qYtWcX1sxNQKNtf73ME8dlD6CKVqLS7jufdU0zNd7tfFmAnTYyaXs8l0vR1Ef4qN+pYPREnpqLvE9l6TsgfJLC+hlCTF2WyGWW2lVC9Hf/s1QQLKlHodfhWLSBYvr3Te6mHDMD42D27PVZdXS3nMD0eDzabjeLiYsxmM4d6zlUiPWtKSsoBafefyWIKB12NQ0msaTvOYCZ+bHt1jWfta4T8bvT9r97tcWdNFX63G1dqBOkx2ShR4LU342lqwNPYiKumSppOjsZkRhdhQ2e1otYb9qqc/v5Qx/XBOOZ+3EufI+CqwVe6gKCzEl2vi1DqrPzdtJZuKFQm3PUrMCdOQ2VKRJsyDlfux+gyj5cHDZhVVtJ13dnoXLbH5LxSoSHCNERed14k5wVBEARBEARBEARBEARBEARBOFz0yerJMeOO4eu1H+JvcMsvX6UDbcKuZO01J1661+1JSfgLjh0kv3ayOzy8+dFyfl2Uj9cXoH+vRM49bSApiVZqaz1cceViNmzYldj+8ccy/qfZSrw1G6ej87nNffq2nY1vMCkxtK1i30bhivbryv9ZQ2mAhrIAkSnt07cakxLNbto39zV2npwPhbAoaig6bWvbe72fT8QpacQ/1B+FWol/SwWub1cTKGlAYTOgn9wT3dgctGeNab0mOL2K4NedJ+dVvbp3eOyZZ56RE/OSyy677JBOzB9MIjl/mDphQhJKhZ/GQK+9Oj/orsdX/DPq6J6oY9tfE/T7sVeUscC3ik9++wSjxkyfuIEMiB9K//ghxKak4/d48DY1ysl6e0Up9rJilBpt21n16gP7kVNakjGMvl+eQR+o3UyAlnXo9b0vQRWRxt9JoVChtw3E3bASU8JU+XdDt3NonHMp3pJ56NJakvE9TUOYW/8Z/pAPtULTaZtW03Dqm+fj8VWg0+zd0gSCIAiCIAiCIAiCIAiCIAiCIAiHulduepq81ZtZ+/Vi+XfHpmo08Sa51Pnd59zE8Ud1PsmxM5u3VXHOVR9SXrVrzfp5C7fz0tuL+c8jJzDjg/o2ifmdfL4QtQ21GDS7ZsX/2bDhZjKy2i42LxUq37rEwW+f1FNd7MUSpWboNCuDp1pRqRWEgnv33DvP8zQGyPu0jtJf7AS8IaL76Ol2XjTWLF2b82Om2ih5uRJ/Q2C37en99VBUv9tjTV8UoYrTofeU4nx/aZtjnh82ohmUhu3FM1FaWvqqPeFYfDNnQ2D398KgRzN1wm4PVVVV8eKLL8rbOp2OG264gSOVSM4fpo4fn0iNIxXMnQzT+QP36pelDDz6Adfu9ri0vrzb5+L76h8YmjSKDFsX1lQu55XVz8hfOCkR6fT/PVHfI70vNqXm91n1UrK+EVdt9R9m1bck69UG4wGZVa/QWdAPvxXvurfxFv0q7cG1ejq67megiR/M30lvG4Sr9je8zZvRRfRGbc1CkzAM19YP0aZOkPsrrTv/fe17bHdtoJtxQKftWYyDUSrUNDkWE2s7+W/rh/D38Pv9VFZWytvx8fGoD/DgFUEQDhwRr4IQPkS8CkL4EPEqCOFBxKoghA8Rr4IQPkS8toiOiGTZZ7/QrWcPCvLy8de7mZB2FA/dci9dk7P2u12X28d513zcJjG/k8cb4IbbZ2Pwdty+y19PXKyF5ob2EyzTM3Xc82Db8ubBYIi3by+VE/N/tGpWE10G1XLT2xmkDey4vP5OljilXNq+brOLn84rwFXtbz1WudTB5rdqGf7vZHLO2jVwQG1WkfN0OltvKCDg+NMIgFAQo7oZdjXTjvOdZQT9u19D3reyiKYHv8P29Kny76q0FAy3XYfrqenSh7jtyXodxvtuRRm5+2reTzzxBE6nU96+8sorD1iJ+HB0ZEb7EcAfCFHemEriXlSECNrL8ZcvRhU3CJUto31bHg+OqkoW+lbh9Du5uN+1xBrjOaPHhdi9zayrWikn6heX/MLMbZ+hUWnpEdNXnlUvvZKTexP0eVsT9VKi315WglKjQWuxyuXvdRbrX5pVr1Bp0Pa/DIUlCc/GT1GYQng2fSD3TZt1HAqFkr+DWh+P2pAql7aXkvMSQ7dzafr1enwVS9AmDidZm4VVHcUm54o9JudVSgMW40Aa7ItEcv4w5PP5WLFihbw9adKkI/YfYIIQDkS8CkL4EPEqCOFDxKsghAcRq4IQPkS8CkL4EPG6i1aj5bmnnuHkk1tyIFt+WUP2M+1zVfvim1mbKC1v7PC4wr/nia2l1cW88OzRfPdNPaWlPqxWFROPtXL8iVEYDG1zTrNeq2mXmN8pb6WTt+8o5f9eTqPLaB15v3Vc3n7Y+RaCvhBzLy5sk5jfKRSARbeXEtlNT+yAXWX1IwaZ6DujK5Wf1NGwuJmQN4Spl4HIvkpq793RSS9DaH2V0pzXDnlmbyJQMh5VSsv69Jrxo1HmZOP75kf8G7eAUom6f2+00yajjIvdbRulpaW89NJL8rZer+eOO+7gSHbkRvth7qvZpZxx0Z5H4Uhcq/8r/zQMvGa3x6VEugs3P1bNYmraFCILNhKIqEIZmYLJaGNEylj5Jc2gL20uYnXlMvn1wYbXeGfdS0QbYumfMJT+cUPokzIQmzobr8P+ewn8Rtx1NfJsd43JJM+o10fFoNa1LcuxN6RZ6doux6E0J+Fe8RJoNPgK5xB0lKHvcT4KTdv1Pw7m7Hl7+dcEfE2oNBFoYvqgju6Na+sHaBKO+n32/BA2OZdzMpfvsb0I03BKqp/H569Do+64jIoQfqTPgvQfop3bgiAcukS8CkL4EPEqCOFDxKsghAcRq4IQPkS8CkL4EPHa1oknnsigQYNYuXIla9as4c0335TXJN9fC5YV7OGMPf/N/f4QY4+xcsyk3c8E3yngDzH7dSnP1bEV3zdSU+zlpH9H8e4lNVRtcoLX3VLDXqkCnYE+J5gZfrGZ/C8bcJT5Om4sBJveqOHo6W2XdtYlaEm7IUF+7eRcUt3pcynwoVR0cq/f7+ddUYTh9+S8RJWShOr/LmFv3X777bjdbnn76quvJjExkSOZSM4fpr6bV8F5V+w5Oe+vzydQtRp18hiUpvh2x30OB+76Wn7xLsMf9HOyNxZ/7szW4wqdCUVkCsqoFBSRySRFppDc5TSmdT0dj9/Dppq18qz6tVXLmbvjO/k/Ml2jerauVZ+d1JOQz79rVn1VhTxL35aZLSfq94c6YQCG0ffiWfYcQY+DQO1WXKueR9/nEpTG9n080HTWftgrZuJpWIUxdqy8T1p7vnnRXfhr16OJ6SuvO7+4aRZV3lLitMmdtmc1DaWkWkGjYykx1ikH/fmFv4/0j6/Jkyf/048hCMJeEPEqCOFDxKsghA8Rr4IQHkSsCkL4EPEqCOFDxGtbUu7o6aefZty4cfLvd955J6eeeiqRkbsSwvsiFAx1ejygcO2xjV69bKhUu5L4Pm8QjzuAyaJuM6CiqtBLQ2UndePl9eghd5mDYdOsxCc7qFpS2+a40msnOUeHUqWgcpljj89Wsbj9OaFACL/dj9qsRvH7c+u6WVFolIR8u1/wXiFl3vdGcPfX743ffvuNDz74QN6Oiori7rvv5kgnkvOHqUBg7wLKI82aV2rQ97+q3TFpJnxTaRFOlY+fKmZzasoU1FvXsL15OL7YfkQaajFrqtH7KlEXrCC0aW7LhRq9PKteGZVM38gU+mWchqLv1dS6auQZ9VKy/tttn/LJprcwaS30ixssJ+r7Jw4lNj2Dhh3bqd+eiyUlDVPs/iXTVdY09KPvx7PseQKNBYSUKlwrn0fX8zzU0T05mJQqPbqIPrgbVmKIOVr+kpZmzKusmfLa81JyPsfQD5VCJc+e31NyXq2yYtL3odGxSCTnBUEQBEEQBEEQBEEQBEEQBEE47IwdO5YzzzyTTz75hJqaGu677z5efPHF/WprcP8UZsxc3+Fxv6IJvSGE29XxDPrzz2tZk37zqnrefy6PpXOrCAZCxCbpOf78dM78vyy0etU+Pdes+4tZ/3nbxLxEavfHe4qxJGjlmer7wlPuouDZbVR+XkrAEUBlVhN/ShIZ/+qKLtGAZVoKTV8U7fbaIFpCOh0KT8el9iWa/vu3PnwgEOC6665r/f3RRx8lOjqaI51Izh/B/FXr8NdvRpsxBaW+/Sx1T1MDPnszc7wLUSlVTHaZqClTMXdBMigb8XukNTWk5Hk8Kk0/ouKDxMc2EGOrw1ZVg0m9Ap3iZ1QaBWqDjojoFMZGpjA+7jhCOZeTF6hlTfUq1lQu4+VVT8mDAVKtmUzJOpmjYvvRXFyI3+0iIjkNhXLf14xX6m3oR96JZ80b+EoWobQl417/BprkUWgzp6BQt5SMORj0kYNobFyN31WIxpghJ+gNOedgX/4o/obt6GzZdDH0kZPzY20n7bE9m3k4pTWvEQjYUanMB+25BUEQBEEQBEEQBEEQBEEQBEEQ/gnS7Plvv/0Wp9Mpr1F+wQUXMGTIkH1u59Tj+vDk9F+oa+hghrwC7r6vJ888sZ2GBm+7w2eekcFJJ6WyeHYl91+yAr9vV8a8uszNW09sZdVv1Tzx0TDi0rVYY9U07maN+D9KytQy94bOy8zPf7aM8Vclsa2D9et3ih9qkn+6ChysOmER3spdyfWA3U/Zu0XUzK5k4Dcjib2zD57cJjwbGtq1o+tpwzR+GM5X5nd4L+2ILNRZu19Lfk9eeOEF1q5dK28PGDCAyy/f81LPRwKRnD+M+f2dfxG41/wPhcqArm/7dTukRHlzaQnNWh9zC3/iwpSTCG3cwNJ1/elycYC+J9pQN0cQqDLiqlbQXOWhucZLU1U0W8tTaa724qjzolZ6iDDUYjPUEG2rJ9q2BIu+CZVWQZRWw3hLIhNjRhJMPpkdpgYWNm/k1dXPUph1ImemnImztJSA240tswtK9b5/XBUqLbqBV6E0J+LZ8gVKWyq+0gUEajagzTn1oM2i1xizUGoicdevkJPzEm3KOJSb3sCV+xGWoffQyziUr2vfwB10olca97jufGnNK1Q3fktC1NkH5ZmFv5/P56OwsFDeTk9PR6PR/NOPJAhCB0S8CkL4EPEqCOFDxKsghAcRq4IQPkS8CkL4EPG6eykpKdx7771yWftgMMiFF14or0NvMBj2qR2LWcdbz5/Buf/3EXa7R6qb3+b4I3dM5oyTu3H0iDQ++GAHc+aW43T66do1grPOymD8uAQ8riBP3LCmTWL+j9YuquPz13Zw9nVdmHBxNJ8/Wdnh8ww8NoKmfBfBDtraqXKTi5ghRozxapydlMrveWnL7PPcOza0Scz/kbfCQ+5dG+j3wVBSPxhN04xCmr4pxl/pRh2nl2fUW0/PQKFWECiowTNrU7s2VNkxRDx6Ivtjy5Yt3HXXXa2/T58+HZVq3yoNHK5Ecv4wJpWL6Ii3ZAGBpgJ0Oaej1LT/UnPVVMtJ8VneXzFpzIxtgvIKI4XKOLKmLmSFIgQRUtYYtF30mIjEhI2Y33+aiEbvt+Gv1WKvlpL2XpqrPZRWeXFU26G8FKWzHLO6CqthHRZ9PZEKOFGtYphlDP8NzaS0uYjret+Mr6SK2q2biMzqinofv4Al0qx1bbeTUJqT8Kx5HQIeggY37tXTUScNR9flJBRayz63u6d76m2DcNXOx5wwDYVKh0KpwtD1TBxrXyDQ61J6mYbyRc2r5DrX0Nc8otP2tOoY4mxnUln/ASZ9TyzGfgf0eYV/bgDNxo0b5e3k5GTxDzBBOISJeBWE8CHiVRDCh4hXQQgPIlYFIXyIeBWE8CHitWM333wzM2bMkJPymzdvlpP10ox6SXlVBUtXLscX8NOvR29ysrvuto2tucV8/OHX6NwbCfm9aHRGTLYkRo0azKXnDqNvz0T5vPh4A1dcnk1qtJstGyrR6uzoccprxM//rpymOl+nzzrz3SI5OT/16lhKt3lY8uUfZqdLjRAiva+Ri59MZus3dXvVf+my8W9k8NMFO/DU/SnPp4CjHk4ibrAJV5GTunmdz8Svm1OFu8SFNkpNUGVHme5Cm63EMjqRiImZKNQtVautT52CZ2pvXJ8sx7uxhEBzM35fHaGqUhRvRWC7bBqqyIj2zxoM4lq9Al9JESpLBMZhI1GaTPLnWxpY4Xa75fNuvPFGRozoPA92JBHJ+cNYRESE/JKYTC0lLnbOivesfxOF1oy21/ntrgsGAtjLS2kweJlfMJerU0/Dv34ri9cOwXZxAb21Y8hgAA7qcdAg/3TSgJ16ainGhb2lITWo4lUY46VkvZS0jyRWTtxHYmQIRqz4HbQk7ivtuEtLcJTkEV3+M3f6BvAqW7lv+W3cOuh+zFUeanM3YcvMRhdh26+/hzp5KKrYXviK5uPb8RNBeynevG/xly1B2/M8NIlHyUn1A0VvG4izei6epg1ymXuJLn0Kzs3v4M79hOgBNxKvTZFL2+8pOS9JiDoXp2cLhZVP0i31BTRqsS5HuFMqlURGRrZuC4Jw6BLxKgjhQ8SrIIQPEa+CEB5ErApC+BDxKgjhQ8Rrx6SBCu+88w6DBg3C4/Hw7LPPMmnyJOYs/ZWvf5wpz6jfafigYTxx7yMkxiW07lu0ZAOXX/UkbveucvU+j5OGyjwaK4x063LcrnPn5XP7VV/T3NiSRJZ89PoKevVPZNiggXt81vIiJ15PAK1OxRX/SWHEyTbmvVtN4eJKXFXNBL0B6laq+PJuNwOPaxkQ0Bm9VYWr2MG6F3fQXFiHUm1EYzFiiNWReoyV7hfGENmtZclm5/bfc3F7UP/Ddupe+Bl/taN1X+2bK9HlxJD53uno0m1ybkzdPZrmbUvw19TsurgOGt/4FsfspSS9/wDq+KjWQ1JSvurf98uJ+Z0URhNRF1/J9PwSli1bJu/r1q0bjz322F4965FCEZIytcJho6SkhNTUVHm7uLhYLgHyZ978H3GtegF970vQdT+t3fHmshIcVRV84PqW3LpN/Ed9FIXLm/iuaAg9p+dy9JZ0tDHdUMV3Q6FqP5orgA8njXKy3vmHBH5LEr+RIC1fnFIaXI8Fs5ys3znjPpKmWW58P72H0ebj8+71bNDWc8Ogu8l2x+BpbMSSkooxNv4vJdJDoSCByrV4877DX7VSfmpVZFf0A69FZc3kQGkoeANCfmyZV7buc235QE7QR075mG/tX7DS/isPpr+7V/3xBxrILb4BjTqWLsmPo1CI8TWCIAiCIAiCIAiCIAiCIAiCIBxepNnyt956q7xtNBmJ656GWts+J5KeksaXb32CxWTG4/Vx9DHXUV3dfn31nW6/9VyuuHQa27fWcM7kt/C4d18+Pj0hi+byXRNfd0ejU/JDwRSUypb8TlO1h6cnLqFqu7PdueYoDZnp8dRs3TUQ4M/6jNNT80MJoV3jD1plnhDPhHcHoFS13KtxeT2rjl/Y6fMp8BFlzifk2DVQ4Y902VHkzL0UpV5N+RWP45q/psO2jBOHkvDiv+Rt99ZNlF55ASFv+5L6SxvtXLC5kGAoJA88WbRoEcOGDeNwzbnuDzEc5wgjjSjybHofpT4KTc4p7Y4HvF45MV9rcLG4bD6XxB6Dt7iIRet6EXlBPll5PnzLPsXx/cM0v3cpjh//jWf9dwTqiuQZ+RIVGizEkEhXshlKXyYxnDOZwFVM41YmcQ0jOZt+TCGVXmgx0kgF21jMcr6iaPJC1GdcTk1NDGduNjHNk8YTS+7ht8AajHHxNJcU0VRcIJfL2F8KhRJ1wgCMo+7BPGE6muQxBOq34ZhzLY5f78Zfl8eBIM2Y9zkL8Ht2jTTSZZ0oD2pw531OT+MQmvz1lHrz96o9tcpGesKdOD3bKKt964A8oyAIgiAIgiAIgiAIgiAIgiAIwqHkpptuYty4cfK20+Gkcltxax7qjwpLivjk6xny9py5KzpNzEs+/OgnuZ33/re0w8S8pLi8ZI/POGpKQmtiXvL53Vt2m5iX2Ot8NAXsmGJ3P+kyZYCB+p/LdpuYl+z4ppLcD0tbf7cMsKJN0HX6fCZLQ4eJeYlnex0N32zGV1rdaWJe4py7HH9Vvbxd99p/d5uYr/D4uGFbsZyYl9xzzz1hm5g/mERy/gjjy51B0F2HrtcFuy2VIpWzl9ZG/6bmexJMifStrqegOI6GBB0pQ4LEL12Lfui5mE9+At3A0yAUwLPiI+xf3Ir9o6tx/fpfvHm/EXTu/stPgRIjEcSSQQb96ck4hnAyY7mEqfyLSVyNBj0FQ3/EdtXZbK/ow9BNAW729uXDdS/zXuXHGFNTcdXWUpe3lYCv8/U+9oYyIhnDsFswT3kHddJIAnUbcM77F855d+AvWUwo2PGX857oLL1QKPV4Glbuup/WjC7zBNz5X5GhzkCvNLDR0VLeY2+Y9N1Jir6U6oavabD/tt/PJgiCIAiCIAiCIAiCIAiCIAiCcChSqVR89NFHmCMs8u+uJge1RZW7Pfe7OT/IP3O3Fe+x3eKSKlwuDwvmbu/0vKDCS1KXjtOoOoOSc67v0vq7s8HHys/LO22zcF0D015MZ/jV8VgSNaj1CmK7GZj0YCqDppjwuzqflLr5zV0l5JVqJZm3duv0fIOl41n6OzX/vB1f3p4HIhAM4csvJWBvxrm4fW7KFwzJiflaX0D+ffzAAdx33317bvcIJGpiH8Z8f0pcBwM+PLmfozQlosmY2P58lxNXbQ0VES5WblvCvSln416zgSUbxhJ91w6yNztR6SLQ9pyMQq1DFZ2Bru8JhPweAhVb8Zeuk1/ebfPl9lRRaaiT+8ovVUJ3+ZrOKFBgxMZozmMJM9jW/Wu63H4c6x6Po6f/Fx7p2p/H82dTbi/hht63ESitpm7rJmzZXdEYjH/576U0RGIcfhf+pkI8a/6Hv34b/uVPozQkos2cgDp9LEr9vq13r1Bq0Fn74W5YhTFuojxjX2LochruvBn4d3xHN+tAed35yVFn73W7MdZp8vrzxVXPo9dmoNe2lNUQwi9Gt27d2rruirSWjiAIhyYRr4IQPkS8CkL4EPEqCOFBxKoghA8Rr4IQPkS87p34+HgmTjuWLz/8DELQUFaD1qgjIjayzXkNjY3yT6OxZT32zqjVKrRaDe5OZs3vlD0kRJ/BKcz6uG3yOjpex53/HUB2r4jWfdX5TvzePa8k3lTjZtIDafLrj+Zfv2GP19ZvabvOfNJ5aQQcfvIf20LQvSuxrzQoybqrO/a3SmhJlXcs6PajMHSev9tJYdQTbG6S1o5us1+qRHBffimrmluqBiRpNbx69RXyAAuhPZGcP4z5/W2/WDwb3yXkbcYw6Mbdrm/eXFqMSqfjy9IPybBk0K28nPUFKTi7hOjaU0n0h+vQjbi0XZJd+l2d0ld+SYKuRvyl6wmUrsO3fSGe9TPlMu7SGvU7k/XK6IwO11iXZs6P4CxW8jW5ad/Q9cFJrHkwmh6bvuPhnF68pNjBvctu4bYh9xNRHaAudzPWjGz01n1LnHdEHZGOatQj+Ep+xZv3NSGvHe/WL/DlfoMqeRiazImoIrP2qbS9u34pPvs2tJaWUUxKQzS69GNx5c2g54jL+NjxEs2BBiyqveuD9LdLib2ObZ5/UVDxGF1TnkWlNOx3n4V/Lka3b28ZnZednS3+ASYIhzARr4IQPkS8CkL4EPEqCOFBxKoghA8Rr4IQPkS87r0hQ4fw28IF1BS0zEqv2l6KWqPBaDO3npOSmCz/PGbcIJ58+sNO2xs3dqCcoO/RJ4HlCws7PbdnvwTOvLg/593YlUWzKnE5/GR0szB8UjwabdtZ9XrL3qVcdebdn6fpYP+ezkm9MouEM1KonlmOp9KDLl5H7LRENDYtBSsS8O5oKUXfEUPvePT9u6KMiiBY19Thear4KHQ9MwkF/Ch0ekKeXbPyp5dUM+P35QQ0CgUvdksloXv3PfbnSCXK2h/G/jgiJehz4sv/HpU1A03y8Hbnepoa8TY1UqivY2PNGi6zHIWzoo6lW7oRc1ERXdY2oDLHoslpWd+jM0qDFW2XURiO/j/MZ7+M+dSn0Q05G1QaPKs/x/7VHTR/cCXOn5/Hu3UeQUdt+2dHLZe7T6cfubGz6PaYno3esyleb+OGulQGOxTct+Bf5Fvq0VoiaNi+DXtl+W7XG9kfUml/bdp4jMPvQZ0wCCxRKKLSCNRuwfXbg7jmP4i/ZNFelbxX61NQ6eJx/6G0vcSQcxYhTwM5NQ3yIKPNjhX79IxSMj4j4U68/ipKqqcfsL4Lf2+MJiUlyS8xgkwQDm0iXgUhfIh4FYTwIeJVEMKDiFVBCB8iXgUhfIh43XunHX8y1oQorPFRLTtCUJ5bhMfh+sM5J8k/u2Qnc/zUER22pdGouPqKE+XtMy8e2Ol9zRE6pp7aS95OzjRx+lVZXHBzDmOOT2yXmJfEdTGS0M3UaZv6CDXdxvzejz/JOD6u02vlc6bF73a/JlJL0vnpZN6SI/+UEvOSmD30UaFTEXVOPxRaDZFXtfwNOxJ59Sko1CqUOh2WSce17p9RVc8LJVWtvz/TNYUBGRkYjxq5x/4cqRQhkdE7rJSUlJCa2lLivLi4mJSUFHnbtfIFvDt+xDTmSdRxvdtcI30EardsBKWSp8teRBMIcldDDCuXxLHCksDgW2vp8+GvGMZeJyfd/4pQwEegMvf3EvjrCdTmy+UvVLZkVMl9WmbWJ/VunZ0fIsQWfmMrC0l3Dyb/kWQs1T8xqP82Vsc4eV1ZwBm9LmWCZQzOynL0UTFY0zJQKA/cuBPp7+OvWIZ3+zdS1h51VB8C9TsI1mxCobOiyRi/x5L3ztoFOCp/JDrnLpTqXSX4m5c+hL9+C2/3iiVSk8hFCXfs8/PV2+dTWPEkKbFXEWM9fr/7KQiCIAiCIAiCIAiCIAiCIAiCcKh59n8v8NI7r1KxtQhHfbO8T6VRk9wrk0nHTOR/T7zQOshBWk/+trte5vsflrRpw2Y18+S/r+aY8YNacz+P3TGLz95Z3e5+Wp2KZ944hdETdq0pv9OONZXMfXcDVQWNWGMNjDqjB33Hp8sVj1d+Vc5r56/psB8nPZDDsTdn7/aY9Dzfn7yCkrk1uz2ujVBz6oKRRGQaCbj9lH62hcpZ+QTdAawD4km/qA+GZEu76yqenE/lswvbN6hSkPbiNCJP6dV6/4b/fk79/74E/x+K4WtURF13BtbLT2itiO2vraHkivP4bsMmbsgtbi2df2d6ApekJpD4+POYRo7hcM25/lUiOX+Y2d0HJehuwP7DhSitXTCPf6bdNc7aapoKd7DD1sQzqx/lqYQzsazdwnuzjiH+P7mMLaonotaD6eQnOyxFv7+C7mYCZRtak/VBezUqWwrGSbehjNg1AmgHK1nHbBL9Pal+tifOdUsZO3wF1TFunlJsZUDmRC7MuBhXSSkaoxFbVldUB7gMTNDbhHfbV/ir16CO6oE6aSSBsuX4ixdAMIAqaSjanGkoLcntr/Xbqc39N+b44zBE7xq15W/YRuPcK9jcfTgzDdt4JPMj1Ip9X22itPoVapq+p0vyE5j0olSIIAiCIAiCIAiCIAiCIAiCIAiHBymV+dm3X/Dy26+x+Kf5eOwts+YjrBEsWLCQPr3bTkqVbM0tZvacZTgcbrp2SWHK5GHt1qSX2p0zcyufvLWSLesr5aT8yPHZXHj1MLr0iG137lu3zePb59tXQR40NYtbPzoRnUHDb28VM+POzXgcuxLcSrWCY/+VxbR7urbm2XxOH54mL4ZoPSpNy8ACb5OPny9fR+H3u2aiS8ypeia83Z/4oZE4ttezaNpnOPJaysi33kOnYuAbU0k5o0e752uau52a15fjWFmGQq3EMjqD2KuGYhyQ1O5cf2Ud9h8WE6iqR50QhWnqCNQx7Senfvb2W5xz6WX4gy1r3V+YEM3DJ04l5srrMQwYzOGgRCTnhX39oKxZs6alJMqGF1HWrsAyYToqW9u10kPBINUb16ExmXg4/3FilUZurDKyaFEaG1OtDLvSTvdP52GceCua9IMbTNJHMVhbgPPn5wh5XRgn3oI6vmWNdkkpW+R16KNDabheGULhT1uYMnYhoagGnlNvRxPXhZv63QGltfIM98isrnKi/kDz12zEu+1zQn4n2sypqOIGECheiC9/NqFQAOMxT6NQtR8Y0Fj0PkFfPZHZ17XZ37TgNpodO3gqy8k1Kf+mq6HvPj9TKOQnr/QOfP5qclKfR72Xa9cLgiAIgiAIgiAIgiAIgiAIgiCEg2AwyIZNGzn7zLPYtGmTvC8xMZF58+bRrduufNLB8P1Lq3jtxjkdHp9wcR+ueWWKvO1q9LHyywrqil1YYrUMPCkBa0LLwIDK9TX8+sBitny9nVAghC5CS78Le3L0/UdhjDbI59Sub6JodjV+V4CYflbSjo1FpVES9AX4eeBb2LfW7fYZpMT70QvPxzZg9+XvD5QvvviCM888E7+/ZennC047lVf/+190cQf3vodLcl6sOX8Y27hxI7lrFhCsXIZdk9UuMS9xVFYQ9PtZG8qjqDGfC1Tdaarxs6oonfhzK8hYvANVXFfUaS1lPg4mabSQKiYT0wmPymXund89hDdvQevxZLoznDOpV5ShuvI3up3eky9+moy7KpW7fF1IqCjh3sU30xSvRalWU5u7CXdD/QF/TnVMLwxDbkOdMBRP3td41r+BKr4v+uG3EnI34i/+bbfX6SMH4XeX4XOVttlv6HYuensN2XY/mxzL9+uZFAo16Ql3EAz5Kax8mlCoZaSScGjzer0sX75cfknbgiAcukS8CkL4EPEqCOFDxKsghAcRq4IQPkS8CkL4EPG6f5RKJX1792H+/Pn0799f3ldeXs7RRx/NypUrD8g93E4Pq37dwJIfV1FVUivvCwSCfPXssk6vm/feRurK7fK2waph1EWpnHBvDuOuymhNzBcvKuONoz5i8xd5cmJeIs2eX/biGt4Y/jGOaqe8L7pPBANuzmbIPTlkTouXE/NyX7/N6zAxLwn5g+Q9v7x1QmzzhiKqv19J4/Jt8mTdA+Htt99uk5i/6KKLePPjTw67xPzBJJLzh/kIoqSmH+WV22vjT2p3PODz4agqRxsdxYy8DxgTNYjI0nxWbuiOfkINXfQW9MUF6AefdcDL2XdGqbdgnHI3muyRuH55EffKT+UvEUksGYziXNyKJtxnzWboVWl8O2csxWX9uTiQzpRGJQ8u/BfbTNXorTYa8rdhryhrvf5AUaj16LqegmHAdYQCHpwrn8NftQpV4iB822YSCrZ8Kf2R1pyDUm3B07CqzX51TF/UUT05qtLFJmf7cih7S6uOIT3+VuyuNVTWf7jf7Qh/n0AgQFlZmfyStgVBOHSJeBWE8CHiVRDCh4hXQQgPIlYFIXyIeBWE8CHi9a+Jjo5mzpw5rQn6yspKOUH/ww8//KWc2vtPfslZPa7lthP/zT1nPcO5fW7g/nOfY8uSQqqLmjq9PuAPsum34g6Ph4IhvrpoFj5n+/yRpG5bA3Pv2s3a8H9Q/XPhHvtRPbdQTsYvH3sPy0bdybpznmXFxAdYPPBmqr7dvwmi8vOHQjz00ENcfPHFbRLzr7/+OipVS1l+4RBPztfU1LB27Vo5eD755BO++eYbFi9eTF5enhwAwl8XoWggwldAg7YbAW1Uu+P2cmkGt4KV3g1U2Es5K5RKfbWa9VVJJJ1VS/qCLaiT+6BOar9Wx8EmlYXXj7laHhjgWf25nKQP+VtGj9lIYAwXECJE3dSZHH1nHPMW9Gf1trFMJIXrHHG8svhBZrsWYkpIwl5WQmNB/gEbFfRHKmsGhsE3o02fiK/4F1B4Cbpq8Zcsat8nhQqdbQDuxtVtkvfSwAdDt3OIa7ITqN1Era9iv5/HYuxPQtQFVNR9TJNj/xP9wt9DrVaTnZ0tv6RtQRAOXSJeBSF8iHgVhPAh4lUQwoOIVUEIHyJeBSF8iHg9MAn6uXPnMnLkSPl3h8PBtGnT5GTx/njpjvd4+7EZ2BtbZq/vTEgv/G4F/77i5b1qw+/rOA9VOL9ETsB3Zv0HW+S16DsS8u3FQA5vE6tOeIzmtQVtdrsKqlh//n+o/Hop+8rn83H55Zdz//33t+679tprRWJ+P/1tEd/c3MzXX3/NL7/8wm+//SYn4TtiMpk46qijGD16NMcddxwDBw78ux7zsNJDsZgQSsqtkzH96Zjf7cJVW40uPp4Zax7n2OijMBUXMGttP0zHl9M1YEFTVYb+xGv+oadvSVrr+p+MMiIB168v4WiultehVxqsmIhkNBewhE8oHfU14y3H8+tDShqdNiYMnc+9bg0vrH2b4qwCLs2+AndJKYFtHmxZXVBptAf2OZVqtBmTUOiseLZ+iiq2tzx7Xp0yEoWy7ZeS3jYIV818PM2b0Ft3rS2vSRyB2daTXmXL2JS1nNHWafv9PHG203G4N1NU9TQ5Kc+j1YhSIocqjUZD795//+AXQRD2nYhXQQgfIl4FIXyIeBWE8CBiVRDCh4hXQQgfIl4PjKioKHkS8Hnnncfnn38uVyGQksjS5OBnnnkGrXbv8kFFuWV89ersDo9XlJQRZYjD5+p8EmjO0MQOj9Vs3fMyzH6Xn8biZmK6tZ9wK4k8KpnCt9Z32obeUEGwoeOlErbd9T6xxw1Gqd67pLq0bIBUxl7K7e701FNPcfPNN/+tVbcPJwd95ry0xsMFF1xAQkICF154IW+99Rbbtm2TR5t09LLb7fJolwceeIAhQ4bQs2dP/vvf/8qjXoS9MyTbTKSiijpdbwKqP6fmobm0RE5SL7Qvpc5dwym+GGprjOQ2xZJ6mp2UBevQZAxFFduFf5omazim4+8n1FyJ45t7CNS3lAXRY2Ik5xJJIgX9vmbs4zpKSyL56udjibf1ldeh925byGPrHkCRFkvA66V2yya5zL3f4z7gz6mO7YtCoUQZlUnQUUmgrP36I2pdHGpDGu6GtmufSF9g5m4XkN3koaCq4/8A7A2prbS4f6FUGimoeIxgUKxXIwiCIAiCIAiCIAiCIAiCIAjC4Uev1/Ppp59y4403tu6bPn26XOa+pKRkr9qY+2nn5eRRhFCYOi9rP/DYLJK6RnX8nDbdXj1LZ+elnNEdbayx48dU+Ag21HTavqe0joaFm+VtZ14BdT8vpGn1BkK7WV5BSshLE6h3JualwQ4fffQRt9xyi0jMH4rJeSkpP2XKFIYOHcoHH3yAy+WSE+9Skv6EE07gwQcf5OWXX5ZL2s+ePVueVS8l7p999lmuuuoq+c2WSnlI12zZsoXrr7+ejIwMnnzySTwez8F67MPG/Wel4w+pKY+Y0O6Yt7kJT2M96rhovsj9kJOjRqAtL2Hhqh5EnFZMTpMBVUMNukFncqiQBgmYTnwMhUaP45t78Zeslfdr0HEUZ5BIV/K7zmTk00GcLgMffTYKXeJ4rgpl07+0nPsW/Yv6eCVaswVHRTk1G9dRs2Uj9spy/Afo86RQG1BFdSfoKEMd1xdv7je7XeteHzkIn30bAV9jm/3a1PHojCno8ufiCf61wQNqlYWMhLtxewsprX31L7UlCIIgCIIgCIIgCIIgCIIgCIJwqFIqlTz33HO89tpr6HQtye0lS5YwYMCAvVqHvq6y83LzEqeijAGTM3d7LKV7NNe+emzr79Ly3fmLtrHmi+UULNsu54q6TE5HY+y8oHnaqCTM8SYCHh/Fczey/csV1G0uaz2uNmkZ9ulJqCN2XxEg8/Ke7I2mVRtZc9IlrBh3OhsuvJE1J1zM8jGnUD1zjnxcqkAg5WPHjRtHRUXLUszJyclydfSzzjprr+4hdEwR2l328C+6+OKLee+991rXjpcS7eeeey6nnnoqaWlpe92O1+tl/vz5fPjhh3z55Zc0Nja2zApOS5PbHzVq1IF+9LAnjQJKTU2l4LWjqNANxZV6srw/IiJCfh+kt7t26yb57zgvuJLPNr/Dq4YJ1Gz08OnKgfR7fQcjvlmPLqk/hqPbl7Rfml/II9/OITs2ml7JCfKrd3ICEQb939K/kNeFc97zcnLeMPxitD0ntewnxHp+Ip+VpNeOYt09Vhx1Ps74vyb0ZV+zwlPM+5ZmLhx6O6OSx+FubMBdX4enqUH6lkRjMqOPjEJvi0Sl3bvRS7vjr1yJe/MH6Lqfi2fZC+gHX4s6aUibc4IBN7VbH8MUOw5j7Lg2xyq3vEb+yjuJmPQuvWKn8lfVNs2iuOpF0uJvIspyzF9uTziwpIFGS5e2rO8ybNiw1n80CIJw6BHxKgjhQ8SrIIQPEa+CEB5ErApC+BDxKgjhQ8TrwSNNHj7ttNMoKNi15vpll10ml7mXcmW7886/P+e9J77otN20nCReW/wECz7ZzNx31lNV2EREtIHRZ/VgwsV9MZhbEubrv13FFzd/SE1+deu1CT2SOP2FCyhf0Mgv9y3ebfsKlYLzZp9C86atLH/ka9w1za3HEkfmMO5/FxPVI0n+3VncRP5/V1E1K5+A249tQDyZVw/E0tXMgu7Xdv4HUnrQxVQSdO1+kqjuzqu5+cM3WbhwVzWB8ePHyzPm4+LiOBJzrpLi4mJSUlI4ZGfOv/POO/Ksd2ldB2nW+4oVK7jpppv2KTG/szzChAkTePPNN+WRGe+++y7dunWjsLCQn3/++WA8+mGjrsnLNga22y8lpP1OB4o4G99s+4RzokahrKxg/vLuRJ5VTE6lFqXLiW7Aae2uDQSDvDxvEUm2CGxGA7M2bOXeL37g5Bff4sLXP+KpH+bxw/rNFNXW73bG+IGg0BowTrxVTsq7Fr2Ba/HbhIJBFCjow0R6cjSF0Qvo+WQpUal6PnreTEPypQyz9uKmpmg+XfAI9/12E+tdm7FlZhPXZwDWjGyUGo1c6r96w1p58IKjqpKAb9/Lwauie6FQagj5mlDF9Nzt7HmlSo/O2lsubf/nY3FdLkChMVO/9U0OhCjLJKIiJlBS/V9cnh0HpE3hwJEGMNXX18uvnYOZBEE4NIl4FYTwIeJVEMKHiFdBCA8iVgUhfIh4FYTwIeL14Bk0aJCcoD/uuONa973++uv07du3w9zihDNH7rFM+4SzRqFSKTn6nF48NOss/rflCp5ceD7TrhvcJjH/2ikvtEnMSyo2l/HS1KdIOtrG0fcfhUrXdr13Y6yBM2YcT/2K9fx24/ttEvOS8oW5fDHuMZoKWto1pkbQ+/GxjF99CRM3X8GQD08kZnQquoRIosb17rQfGlvTbhPzwVCIL+1VjL3u8tbEvPQ3ueuuu+QK6EdaYv5g6rx+wn66+uqrufPOOw/YCAKJNGrovPPOk2fgf/bZZ3JJBaFj02eWMOHytmUtpCR2c1kJOmsk35d+TyDgY3yzkpLyeCoNegZNhpjPlqLpfgzKiPh2bf6wfgvFtQ3878LT6BofKyeWKxqb2VBawaayCtaXVDBrwxakfLPFoJdn1PdMipd/dkuIQ6c5MB83hVIlz5pXWZNxLX6LYFMlxnHXy4n7HEagxchayw+kP+pC+1gPZjzdzHE3XEIX09fcU7GBeVW1PFN9D7GWZI7vcjpj0ycTGRVNMBCQy/1LAxiaS4tpLilCYzZjiIxGJ82o12j2/GxqvVzaPlC1Bm3OCbgWPU6gcg3qhAFtztPbBtPYsBqfswCtaVcZFIVahzdjHPrtswi461HpI//a30qhICXmalyePHn9+ZyU/6BSmf5Sm8KBIw1i6tWrV+u2IAiHLhGvghA+RLwKQvgQ8SoI4UHEqiCEDxGvghA+RLweXFFRUXz77bdymft//etfOBwOeeLvMcccwznnnCOXbJfKtO+UnJXAmTcez8fPfbvb9jJ7pnLS5S2VnDsiDbKQZsx3NHk14Avw1W0fc+uSBxh6bX+2fL0dV62LyCwrOdOy8DW7ePvcxztsX0rYL3v4Kya8cXmnz9H1kXNZceyDBJrbJ+AVqhD425fw3+y185/6Irb4nK37srKyePvttxk9enSn9xMOkbL2wqFRYuHTTz8lNjZW3pZKdeQkJ2IvK0Gdlcz18y7hYusIhu2o5ePvx6C4spyJKQqili7FfMYLKI22Nu26fT7Of+1D+qcmc/e09uvY7+T0eNlUXsmGkgo2Skn78krcXp88mqhrXIycqG8phZ9IlNn4l/srlbd3zn0OpSUW46TbUZpj5P3l5LKCr7D6k2n+z2By5zUw7soUeqevwb/lF+wqBT9aA3zdvBqjxsykzBOYkn0yUYZo+fqg34/790S9t7lJqpuP1mJpLX2vVHecqPdXrcG96V0MQ+/Eu+pVCPrQj76/zagrKezqtj2NxpRJRHLbKgVbGn6j5odTyez5L5L73cGB4PGVkVt8I2ZjPzLi79rjCDBBEARBEARBEARBEARBEARBEIRwl5+fLy/HLS2jvZPJZOK+++7jxhtvlKt478zbfPm/WXz8n29b16BXa1SMPWU4V//7PKxRls7vs2gbz415ZI/Pc++mJ4jLSWi3f8Nr8/jl6rc7vVZt0HJF/f9QqtvOvP+z5vWF5N7xHg0LN7fuM/dKI/Xqo8m7897WffUBH681lvKds6bN9RceM5npX83AbDZzJCs5SGXtRXL+SEnOW8wkq5Xoo6KYUfctCwp+ZHpwEHnrI/ihNIujXqxlwIe/oes1Bf2Qs9u1+/7ilby7aAXvXHo2ibbdr8mxO1Ip/B3VdfLseilZL/2samopx5Fgi2idXd8nJZGM6EiUyn1faSFQX4xz1hNyElwqea+K7SLvr6GIpczAELISfH00676sZ9hZSQyZooYN3xCs2Io7LoMfI/x8Vz4Xb8DLqJTxTOt6Bhm27Nb25UR9Qz3uht8T9dKSC5YI9Ladifq2o9pCAS/ORfehSZuA0pCAe8lT6I+6FXVc21Iijuq5OGvmE51zp1zqfid/yMfH84YypF5Jzgm/odD89UEMkkbHEnaUP0JS9MXERZ56QNoUBEEQBEEQBEEQBEEQBEEQBEE4lEmz2l999VXuvvtu6urqWvdnZGRw7733cv7556P5vXqy3+cnb10hHpeXjB4pWKM7T8rvtParFbx+2ot7PO+Gn++ky5ju7fZLs+KXPfjlHq+/rPol9JF7VyHZVVCFq6gabawVU/dk/I3NLO43kWa/l0+bK/nMXokrtGtZhUy1nuttaZz/8RtEHzOKI13JQUrOi1oZRwid1wNqPe4IDbNXfMP11jH48muZv3ogcbcU0XWzQi4Xr+s7rd21DU4XHy9dzUkDeu9TYl6iUirpEh8jv04a2JKcrml2sKG0XE7WbyyrZN7mPDmJb9Bq5ET9tP69GJ2Ttff3iEzFdOKjOH96Csd3D2E4+ho0mcOIIY1RnMdixScoL5vDkMiJLH2zjOUzFCR2G0X3btmklf7KidUeTuhxNXN1zczc8RW/Fs2mT9xAOUk/IH6onHw3xsTKr4DPh+f3RH1TUQFNxQVoLVYMkVHobDaUKjUKlVZee95ftRrD4FtQ2TLx5X7TLjmvtw3CWTUXT9MGDJGDW/erFRqCWcfiXPIh7h3fYsg5kwPBajpKTsqX172NUd8Ns6HzdUcEQRAEQRAEQRAEQRAEQRAEQRDCnTQx9KqrruL000+Xk/GvvPKKnLAvKCjg0ksv5bHHHpNn0ksl79UaNd0H7ZrAubciU1oqM++JLXX351nS9ny9NsIgv/aWISNOfu3kVIT4JFrFO2vW4wjtWj7cpFBxSUQSJ5ljMcTFEDl62F7fQzjEZ84/9NBD8s/09HQuvPDCvbqmurqal19+Wd6WAkPY+1Ec77//vrxmhioUIkEVIjGnO++WfsDa0oU85+3J+jUJ/GpPYOQTDvp8MAfdwNPQ9T+5XZvT5y7gx/Vb+OCKc6lfZ+fnf5dgTVGR2MdG8uBY4rrqMFj3fcb7H0vmbymvkhP1K3YUs664jAtHDeH84YP2qfx6yO/BNf9/+PIXoR98Ftp+J8nXO2lkER/jw02PkpNoWK2neF2T/PI5XHRPWkOP9E2orNEo+59AXnIz3xV8Rl7dFpItaRzf9XTGpE5Ep9a1uV/A522ZUV9fh89ulxZ4xxQXjyU5FX/Netwb3sI49HaCTWW4l/0Hw4g7UcW0HQ3VUPAmhHzYMq9ss39x0ywKltzIBF8OMcfOQKHa83r3e/U3CgXYXnYPHl8xOSkvoFFHHZB2hf3jdrv59ddf5e2jjz4avX5XBQVBEA4tIl4FIXyIeBWE8CHiVRDCg4hVQQgfIl4FIXyIeP1nrVmzhjvvvJMff/yxzX5pZvQ111zD5ZdfTnT07pPlfq+PlTN/pWD1FtRaDX0mHkXXYX3lY4/1u4uKTWUd3rfL6G7cMO+u3R7zNrl4K+1GfPb2a8Xv1OfqYzj6xQsIeH2UfP8bNSs3odRoSDpmKHEj+neYU8vNzeXFF1+U15C3S/ms36lRcJwphosikoj6PQ/V46XHiJ02scNnOJKUHA4z5x944IHWD8bPP//Ma6+91rqWQ0eqqqparxPJ+X2zc9yFmQAhhYpGo59fCn/k9ohxeCrrWLQ+g4QH8umyVlpQ3YS215R2bZQ3NPHNmo1cOHIIEXo9nz+6DnepG3+pm9KFDpZSjVKvwhgJMZkaEvtEkjTERlyOHn3E3iXs9RoN/dOS5dc5wwbw/uJVvL1gGaX1jdwyeSyaPaydsZNCrcMw7nqU1kTcKz4m2FSBfuTlGFVWRnM+S/iUDSmf0TvlGPpN6y+vI1+zw0nRumw2rRtEVP6PRJa+gsKRyUjrxRyVGWJDYC6vrnyODze+zuSsEzk26yRs+kj5fiqNFlNsvPwKeL04qytxVJajjbCijeqOQqWX15/XpE9CGZGKN/drDH9KzusjB9Fc8jF+Tw1qXUzr/p7GIXyfmMTwzUVYimahzzx+r/4Ge/wbKVSkx99Gbsn1FFY+QXbSoygUooDGPxmj0j/Cdm4LgnDoEvEqCOFDxKsghA8Rr4IQHkSsCkL4EPEqCOFDxOs/q3///vzwww8sWrRIzj3OnTu3NRkrJe2lycbnnXcel1xyCcOGDWvNbeYt28D0C+6ivqy6ta1vnnqbbiP7c+17j3HGCxfw0tSn8Xv97e6pNek45dlzW3+XEuxehwu91YxCqZRnxI96+mzmXfVWhzPrB999AjWrNvPr+XfhKK5oPbb+6beJHdaHse//G0N8y6ACr9cr91GqEiD9/COVSsUJaV0506Uh8feJqYasNDLvup6YyUf/xb+ucEjNnJfKRkgfYOmW0k/pA/3ll18SHx/f4TUbN26kT58+8vmBwK4SC8KeR3F89NFHpMbHERXy4zdFMEfxE4WVa3nMlcWKFZksVdoYe7+fnA+/Q3/UhfJ683/2yLc/sa64nPcuP4ctX5Xw8yM1DDi9iaHXDqShII+KleVUrnNRn6fCXmnB5Y8gGNKi1KkwRUkJex0JfawkDbUS30OPzrR3Cfu5m7bx5A/z6JEYx0MnH0uEYd9GjXnzFuCe/zKq+BwMx/wLpd6CHy/r+YlC1hFNMv2YQgSxrdcEAkHqlizFv+ZrvI12Nu7oS25ZbwKaIPakQvJtS/CmVTBy8BBO6Ho6adbMNveUPtd127bIa9THdO+FZ+vHBJuLMQy5jUD5ctwr/oth1D2oorruuiboozb3MfSRwzDHH9umvaeLr+eo3M308sdjm/QuCsX+Vyf4M7trI9vL7iDWehJJMZcesHaFfeP3+6msrJS3pe9BtVoMlBCEQ5WIV0EIHyJeBSF8iHgVhPAgYlUQwoeIV0EIHyJeDy3z58/n6aefZubMme0GS2RnZ8uJ+injJvL2eQ/gbNw187zNeUN6c89Pr7BjUR5f3voRhcvzW49Ja8yf8sw5pA5Ip3pLAfMfe4vNX8+XE/SGqAj6nz+V0bdfgCEygm2fLmXJ/Z/TuK3l86FQKsg6aRCjnz0XpdLPN0edh7ehebfPENm/G7aHL+bDjz/m008/pa6urs1xo9HIBRdcwC233CL3y1VYgru4DI3NiqlXzj5Vsz4SlBykmfP/SHJ+8uTJcqkIaVvqyNdffy2PUtkdkZzf/w+KFHjdom1IoVSkdfJW5X94wDKehB1NvDFzDClPbWdylQddWTHm059rVzpdKjV/zXufc/OxY5nUvTuvT11BoMGB3upHpdUQlaEhtoeZ+D6xxPaKRGmpoz5vOxUrK6la46U+T4uj0orLJyXsNai0akxRipaEfW9TS8K+lxFtBwl7aU36e774AbNex79PnUpKlG2f/hb+ii045zyDQmfCOOl2VNZEeX8NhazhR5zU04Wj6MZIVOzqe8jnxr/xJ/xbfsUTiKDIP47cLTEUbWyguqmaOspwJZeS0tfClAlHM3LAEPmzLfG5nNRu2Yg5MRm9pgH3+tcxDr4FhSkR17y7UBpj0B91c5vnbC7/Gm/TRqJybpdntu/0Q937rC/9iEtyHViGPYAuZSwHUnXDl5TWvEFGwl3YzCMOaNuCIAiCIAiCIAiCIAiCIAiCIAjhJC8vj+nTp/Pmm2/S3Nw+AW5VGkhW2UhR24hTWVD+aVLlv2Y8S79Jw+Xt6rxKmioasaVEEp3RMlG0dPkm3p16A167q13bMd0zuHjOfzFGWwkFg9RuLMXX5MLaJR5jvFU+Z+V9/2Xjf95vc50r5GeDv5G1/gbWBRpoDPnatS0tN37ttddy6aWXEhnZUh1aOMKS8+vXr2fevHncdNNN8uggaaTGO++8w6mnntruGpGc3/8PyvdffE6G1Uy9Qs0n9e9j0Dq5z57CwiXdWBelY8JNajI++RrDmKvR5rRN/Eofi1s++ZY6h5PXLz6Dxa9sY/nLTRgtDaQPUpDYT0P1Vgc1OxQ46jQolCoMkWpic/TE9Yokvm88kdlKPJRTvyOfiuU1VK3x0bjdjKPcissTQQgNSo0aczTEZOiJ72WQE/aJA02otcrWsvp3fv4d9Q6XPIO+X2rSPv09gk2VOGc/QdDViPGYf6FO6iXvD+BnG4vJZREGLPTjWOLIanttYyX+FZ8TrMpDmdoXZZ9pVBRpKFjTwLJFm9m+vgKXx43eqqLHoGRGju5Ht5GxBJwVcon7mG498ax8DE3yCLSZU/GXLMK96hUMYx5EZctovY/PVUpD/nQi0i5CZ+nWur/QvZXnSm7mXyWxRAQ0WMe/ckBHLUnvcWHl4zQ7V5GT8h902uQD1rYgCIIgCIIgCIIgCIIgCIIgCEI4khLzn3/+Oe+//768TPfuUqkaVMSqzMSqLPLPGJWZyZedzkXP3bbbNqWE+0sDz6dma2GH9x10+Ukc/8ItHR7/evBZ7Niyje2BZvICdvICzewIOqTFrdudazAYOPnkk+VZ/xMnThTVGfbDYZec79mzp7yGwxlnnEF9fb28//7772+3rvzfkZxvamri+++/Z/ny5axYsYLS0lKqq6txuVzYbDb5WadOnSqPKImOblmr4c/efvttLr744r2631tvvcVFF13EwfygqJRKls78CrXOwHpvMe9V/pfp8ScQscPJm9+NInv6diZsa0Tb2IjplKfk9Sz+aGl+IXfN+J6HT5lC/5hU3py2GpWnEb1aQ1xsHLooPbauOmzZKrSRjbiba6nNa6I6z0tdsY6AX4lKoyZSml3f3UJ8nxhie0ahjWnGFSihoaCQyuV1VK+Bpu3WloS920oopCYiTsnJ/+tCZLZRfha728MDX89iXUk5N08ey+TeuxLYeyPkceD8+TkC5ZvkNeg1OWNbk9zN1LKWH6mhiBR60ocJ6DDtujYUIli0Gv/qb+QZ9epeE1F1HysPRvC6AyxYtIq58xZTsq4ZXWU8mZnJ3PrOROq2bkBjNGH0rSTQmI9h6J3SNy+ueXeijEhBP+T6Nveo3/4CKl0M1tRz2+y/t+A8xvlz6L/uFyyjnkIbP5gDKRB0kltyI0qFhq7Jz6JUtqwtIgiCIAiCIAiCIAiCIAiCIAiCcKSTcoYffvghz977GJWeht2kwXeJsdgYOnoE3bt3p0ePHmRkZJCYmEhCQgLNm4p4Z9J1nd5LY9Rz046vaHA0U15eLr+2b9/O5s2b5deaBUtoDHg6vF6LkkEpWVz92H2cdNJJWCyWv9BzoeRwTM5Ltm3bxrRp08jNzZWPnXbaafIser1e/7cl5+fMmSOPGtmTmJgYeZSMVJb/UE/OTx41ksfvuh273sxb5S9hC3p4RNmFOb/1JS87xKRL9aR8/pU8m1yTOaxNG8FgkCvemYFZp+W5s09k9iOb2PyZHb2piRh9FGljE4jqbaAh10tDrhu/M4hUO9+SpsWWo8OS7CGoqKWxrI6arU5q8pXYW2fXa36fXW8jrk88UV00+NQVOH0lNJYWUzqvmQ2v9UChtDDlkVQyJ7QMhvAHAvznp/n8sG4L5wwfyCWjhu7TLPJQwI978Vt4t8xBFZmKJmccmi6jUBqshAhRzHo2MFc+tyfjSKcfCnlBgD+Uut8wi8DW31BYYlAPPBlV4q5BAqXNxbw16x0Knozj/x4+lp5DzTTsyMMSqyO0/R0Mg/6FypKCr2g+njVvYBz7qJyk38lZuwBH5Y9E59yJUr1rcMAHlc9Q6tnOldtDKFQGIsY8y4Hm8hSwrfRfWE3DSYu7Rawp8jeSBgDNnj1b3p40aZI8kk0QhEOTiFdBCB8iXgUhfIh4FYTwIGJVEMKHiFdBCB8iXsPPEydcx6p5iynzN1Lqb6A80Ih7NyXkO6JWqdEFFKhRolYo5Z8qFPgJtrxCQXwEcSsCu52p35EEhZ4+aht91Ta6qyIYes+V9L39kv3spfB3JOf/8RoGXbt2ZenSpfIM+p9++okZM2aQn58vr0OflLRvJcz/CumPO27cOAYNGiRvSyNZpCS19IeXnumLL76gpqaGE044QZ5h37dv3w7bmjVrVqfPfqDevM6cOmkC9W4vBaFtFLryuFY7ivp6E2tLY+h53w6SF+WhislCnTG03bU/bdrGjupaXjzvZOpLvWz5zo3e2IRBoUOtMlC+sITa9SqsXUwkjjSiizQRCqpw1wSp2+Sm+Cfpy8iCNsJGZDcdGcMU6G1NOBtrWmbX5zawemU9fl8hSo2GqHRpdr2N+D5d6D/NQtyI71h4nZtvb4WRl9kZdE06apVKnjWfEmnjtV+XUFbfyG1TxqPT7N1HWKFSox95GZqMYXi3/oxn+YfyS502UE7Up6b0I17ZhY38zBp+kJP1/ZmChZiW6zV6NANORJU5FP/KL/D98grBtP6oB5yAwmgj2ZLKtcdfw41fPM/MN1fTb8I0tBFWHI0ujGoz/qrVcnJenTIC39av8G77Bv2g/2t9Pr21v5ycdzeuwRg9snV/T9NQljfPw591Jax4Fl/NOjQxHX/29odBl0Fq3I0UVT6JQqEmNfYGFH9aJ0UQBEEQBEEQBEEQBEEQBEEQBOFINf7SU9j0ywqyNDHyS0qg20MeqgN2qgPN1IacuHVB7A7Hbq/3B/z4d/7SWe69k2OxkVHENPnpojLTRWUhW2nGotS0HldqNXQ5//j97KHwd/nHZ87vJCXCb7zxRqZPny6fI5V4+Oqrr+T16A/2zHmpXZVK1ek50rNIazNITjnlFHmtiY5mzu/YsUMuVfFPjuJ4+9+PMHDKcbxV8SLxLi//1xjJD78OpXywiymnW4j/+ktMx96NOqVtotfr93PB6x/RPSGOB06azBc3rqN4nh2dwSnPmpfK5SeO1BPVy0JjnoOGbQ7c1V75WrVBRUQXI5ZUIyq9loBXhbs6QON2DwGPNPNbQUSGNLteiyXFTTBUR0NJLdVbnNQWKGmu0cqz6xP6GOl2XR2L7/BSsyWdnmN0TPhPN5SqloTxb7n5PPbdXLJjo3nklCnYjPs+oizobsK3fSG+rT8TqCtCaYxE0/VoueR9ndUjl7p30khXjiKHEajQtC11X7gK/5pvW0rd956EqtvR8rM/++XzbH3cwvWPH0+3ERHUbNqAjhJ0nvUYht0jf459BT/jWfcuxvH/RmlObG23sfgDAp4aIrOvb5297gzYuafgbE6Nvoreq78n6KnHesxrKDW7ZtcfKPXN8yiqehabeQxpcTfJiXrh4JK+exobG+Vtq9W6x+8hQRD+OSJeBSF8iHgVhPAh4lUQwoOIVUEIHyJeBSF8iHgNP1Ju6M1rH2P+ezPbHZOWjr7y1fs46vRJlJWVySXot2zZIpfEr6iokF9lpaUUbdyGPxj4fbZ8iADBlpn0v7+kquKZfbvLOdKdr7S0NLlEvlQqPzIykqX/eprcN75o/4AKBSNeupsu5x739/xBjgAlh2tZ+z979dVXue666/D5fPKHUErYP/744wc1Ob+3pA+/FExSeXtpTfpDOTl/2uSJXPTE1by17QVe0I7CX6DhnXkDGPB6CWPmb0eljcA49d52Jcw/XrqaN+Yv5a1Lz0JRruGzi7dgUNVglEbfmCJRaZoZ/UoCEUkJreuTexp9NG130rDNTuN2p5y0d1a0rHmhkhL2mQb00QaUag0BtxJnZQBXdcv4IH20Wi6Fb81WoLPW01xeyfIPXGjNBgbdq2TDO4Xs+KEniRkKTnijO4aYluUOtpRXcc8XP6BVq/j3qVNJj4nar7+XnGivLcCbOw9f3gJCXgfqhO4ou46mIFvJNvVyDFjpx2TiyGx7rdfVUuo+d4Fc6l4z6BRKDBruueJtemtHcOu7k7BXlGEv2Y7R/iPmQVegisggFPDinHsrqtje6Adc3tqep3kLTUXvYMu6Fo0huXX/i6V3oFcauCTiChrnXoYm4SjMQ1oS/Qdag30hhZVPEGEaRkb87SJBLwiCIAiCIAiCIAiCIAiCIAiC8PtE44Uf/cCcV2dQuGYraq2G3scM47ibzqPrsD1XPZ730OvM//fbuz0mJfjP+/YZssYP2WNea8cns9jyymfUrNqMUqMmcdwQet94HvEjB+x334QjODkv+eWXXzj99NOpra2Vz5ce8VBIzg8ePJiVK1diNptpbm4+pJPzWo2aiz47hUFqG+fWGfl81jAaj2nk+MlWor7/EtO0h1HH57S5ttnl5tzXPuCYHl25fsJoPrxkHfWrGtHofcQYolEqg+T8Xy3ehDJsCR6M5gi0ugS02nj5pVZHtiaMvc1+Grc7WmfXS0l7Z5lbPqbUKTGnGNBa9FK9eHx2cFUFCAWlkhsKonp5KViXj7NJz5BbzJTvWMuG6f0xG5VMeyGT2AGRcjtVTc3c9fkPVDQ2ybP8B2e0BMj+Cvm9+AuX4839BX/ZehQqLZ4eg9jcW0mdsZlURW96cww62s5aDzaU4V/xBcHqfFQ9xvHQxhXUTc/m+iemkjMqiupN6wnVrsKaFIm+60nyNb782Xg2foRx/BMoTXEt9w8FqMt9Am1ELyyJJ7a2P7d+Bj/Wf8ijGR8RKl2EfdlDmAbdhj5jCgdDo2MZBRWPYjH0JyPhbpRK7UG5jyAIgiAIgiAIgiAIgiAIgiAIQrgm6qWc2L5MpAwFg8y9/1UW/+cjgv5dOU99pIXjX7iFXqcds0/PILUnzZg/GJM5BQ7fNed3Z+zYsSxZsoRp06bJM9UPBVIJijVr1sjbUumIQ16mnzJ7EQ8bsymviaDQo2foKc1Ez1qIOm1Qu8S85IOlq/AHglwwYjDb5jdQvd6PweTErIhAo9eitjZS1GRn5Ye9Ual0RCa6iUlvJDptLbEZLiITg+h0LYl6rS6e6L5xxPa3trbvs/+esP99dr2UtHeUtiTsFVolhhgDKo2OyiVKErt2ozlqG4seaabP+X0Z+vQKVt3Tl88uL2DS7c10OT2NuAgLL5xzEg99M5s7P/uOGyaN4fh+HQ/62BOFWosme6T8Ctqr8W2bjyL3F/qur6KiWzR5fRupMG2ht3oyafRFQcuXndKWhOaYawis+x7/ll84bfTxPPPVL8x6ZyM5o8dgTU2ntrEUV+VWdF1aBpqo08fizf0GX9536Pq1DOpQKFTobANx1y/DHD8Vxe/rhPQyDeXb2rfJc62nZ+o4fFUrcK55Hk10b1SWvzYgYXespqFkJd7PjopH2FHxIJkJ96JUtlQsEA78f7w9npYqEzqdTh7AJAjCoUnEqyCEDxGvghA+RLwKQngQsSoI4UPEqyCEDxGv4W9/3jNpdvyEh69i2P+dxpZv5uOsayIqM4nuJ4xBY9TvV3tC+Plbk/NvvfWW/HNvRhZkZ2ezdOlSrrnmGnk0wj/B6XTK60F8++23PPnkk60z92+44YZOr7vooovkZH59fT0RERF06dKFCRMmcPXVV5OcvKtc+cFkHAbHqbpgbHLy9ZKBRJ9WQa96G6GmKnQTbm13vjQL/cuVGzjnqAFEaAx8+eI2tL4GlGodeoMJv8dJ5jlNfPdxNP3GxZPe20rZNjeluR62L8sgGPSi0XuJTXcQnVZBbMZWYtNdmKzm32fWSzPs44juG0VMvz8k7J0BmvJ/n12f56R+czM+p4+GPCuGmBxyjipg/XvNpI3sw4jXNrHi1my+f1TBsM3NDL2nJ0adlkdPncr0uQt4btavlNQ3cOXRw//yKCGlORbdgFPR9j+FQPlG0rbOI2bmMrbmlLAyewcF6mwGmM4jQpUgny/dT9X9aDk538sJtsl15L9dTt6ierqOjEIfFYurvBpzfR6aqK7yrHxNlyn4Nn+OJucElIZouR29bTCuml/xNG9Gb20pgRKvSSVKE8dG5zJ6mgZj6ncd/tr1NC97COvYl1CoWpL4B5LFOJCsxAfZUf4g+eX3k5l4Pyql8YDf50gn/eNr9uzZ8vakSZMwGAz/9CMJgtABEa+CED5EvApC+BDxKgjhQcSqIIQPEa+CED5EvB7ZLIkxDLnylH/6MYQjITl/4YUX7tP5FouFd999l7/TH8vT784tt9zCueee22kbv/76a+u2VJpfekkDDZ555hn+85//cOWVV/6lEgqdKS8vl39qrQqmuCwUVadSoVIyepoBy5c/o0gbhtcQiy4YbB3VIw06eOXnhRg0Ks4Y0p+1M6tpyvdiMHgxq2yodCqMiU7yCt3gjSFxdSW6+gZ655gZeWEkqqR4qkr9FG1xUJrrYtviBDbM8csJe2u8h5j0eqJT1xGb6SQ6OYhOHycn7BWKKFSqaCK6WYjuHSE/S9AfZPULeRT+UItCGYnPkU7vcTVs/q2RppJsBj9VyMZnHSz+PI26basYP70nQS1cPnIwyTYr//tlEWX1Tdw+ZSzK31ds+ON/1Px+Pz6fT06m6/W7RiFJ+6Rj0t9EGqX2x/P9kdmoR+YQHbqEIdsXUr52NhtTVjPHtJ4sRzd6xpyNNjIThc5MKKE73m2LmDpmLB/9uIGf382ky4ih6JJzcFVsp2nHRqKjuspta9LH497yDc7NX2PodyEqlQq1Lga1IQ17zRJC2q6tI+Z6GoewwbGU40wXyc9uHnofjfOuxrnhFXS9rtqnPu3cL91Pq91Vst7r9cqfBbVajUajwWzoQ1bSw+SV3Etu0R1kJj6IXteypIDE7XbLS05I50rX7ORyuVo+g1qtfI/ORgFK95Pu+1ffp73t007Ss0jP9Of9/0Sf/vhMfzw/nPt0OL5Pok+iT3/052V2wrlPh+P7JPok+tTRUljh3KfD8X0SfRJ92tmn3Qn3Ph2O75Po05HdJ2n/7oRznw7H90n0SfRpZ592J9z7dDi+T6JPok/S+X8W7n06HN8n0SfRp4PhkCxrfyjq378///vf/xg2bFiH52RlZXHKKacwfPjw1jUI8vPz+fzzz5kxY4b8YbrqqqvkN/yKK67Yr+fY2e6ejGuIwV/dwE8L04m7rILuJVaCzkaWNEbjnT27zUisNdsLmLF4OcdnJqPwqFj2Rjn6YB3KgIEAChqqK8i6LsC3b0WTo1ISCDSzI7cU3SItNoMVqbq7Ic2IPsJOhLaGzFPj6TpwIOV5HspyPaxdpGTlbAt6vQaLVU1MmoOY9Gr00auJSGwgOj6SqOgurWvXV/fcjq/GR2CpD3N0DHVroukx3MTmZXksvzmW/nc3Y87aRO6MHtSfsg7DGSUoE9QcN2kSSZFWHvn2J659dwbHROqxaDWceOKu9dsrKytZsWKFHHCTJ09u3V9YWMjGjRuJjIxkzJgxrfu3bt3K9u3bSUpKYsiQIWh7TiK95yRqfv2aytBstmVvpKzmHnqtTSIxfjKbmtTEF2wmO3EYqnE7yPukhPylOeQ1LiPRW0tkMAqL047WaEahMbCpOZ74NV9hTRxPVGKGfE+lqS/lW95mx8YIxk88UX6fpOT8L7Vf8dm8D7D54+Q+GftcjXPtizQo0lixI7Tffdpp7dq1lJWVyVUrevfuLe8z6XvQUHEaPtX/sDtuYkD351GrrK2DUKTP9ODBg9tUhNg52m/06NFERUV1OgqwsbGR3377Td4+kO9TZ32SSINlpMoWvXr1kitb7PR390n6gs/JySE3N5d169YdFn06HN8n0SfRp53xKr2kZ21oaMBsNod9nw7H90n0SfRJIsXoH+P2cOjT4fg+iT6JPkmkfwNLpH8T/zFew7lPh+P7JPok+rTz/wSV/DFWw7lPh+P7JPok+rRzvyQ9Pb1NvIZznw7H90n0SfRJ6tP8+fPlbelZdsZruPfpcHyfRJ9En8IqOb/zi+VAOth/DMlJJ50kv9k7/8eH9CH69NNP+fLLL+UZ89LM9+OPP77ddSeffLJcGeDP5dSlD9+ZZ57JzJkz5cS9NPLipptu4oQTTiAhoaUk+sFwijaB3KJ0Gm0BhkyKxPjpXOgyBm+Trd257y1dTbRex6D4KJZ/XI6n3I1eH8Ss1OHFj6GLnQ1r1WgxkO5xY74kigpPPQarge5Z/XDmNuPItVO/tB7tDiXeXxopjV+DMcdMnxwLEeNdlIVqsFkzMQRT5XL4O1YmUlGcQDDgJTYFkrt5iE7dTFzWCmKiGvENTyFjeAJFbzai1ASo22DEYLGiDdax/qEYel/jw9RlBZueGYjyv7EknlYBk2BElwyeP+ckbv34a14pLuG8Hi0J7wMtaEzCVzaJTHsUjqSlrIzOI377m0RVKPGqTJirtzJp3Ghm/5zLgg+yiD8uRGXASFTIQVPeeqL7HCV/Vmr0vYlzr0NRPBcSL5Xb1ph7EQqpiNDtqpLQ1dAXs9LGCut3jK1rqdygzz5ZXn/es/Ul1Cpp38FZF14RTMLVeC4Wy0y2l94lz6bXqFu+9IS/RhqBtbtZuYIgHJrxuvO/8X916RRBEA6uP8aqWLNPEMKD9G9iEa+CcOj6Y3yKWBWE8Pi3sDTLUMSrIIQHKUEo4lUQjiyKkFQX4CD/n9gHgtSWVE7gn/Lee++1Jt/feOMNeV35ffXoo49yzz33yNuPPPIId99990Epaz906FC+v3QY60pvJvrmCk5MiEC3/CeMp/0Hn9rUprTDqsISbvn4G+6cOo5+llQ+u3w76tpS1CozURGRBEMO0m+q5Yc3I+mr1NFnkInUW7M7LFfhafbgLXDjzXfjzLXjyG3G2+CFUAhdkgFztwhMORaMOSbsKijb4aUq309lvp+KHW4Cfi/WpDImXllFatZkPCU6lj2Yi88JCq0ZtRFC5mKKN4bInBZEN2gr6+4bCvUqRl+opdcNveX3qLKhibs+/56yhkYeOPlYhmWlH7QSHGqNmiLWsd7zDbq8zQwv6IfKWY9nyr/4v9duIuPrs7jg0aGkDbDgXf0SzlAPbD2GYoyOlQeABLZ9BUVzMU18DoXOIpfgaCj6BL+rgOic21pLcxQ5t/Fi2e1kaHtwZeqDqBVqgp5G6n+6BIUxGcPwxzEYjAetrEggVEFh1X0olQaykx4j6DcfMmVFDsdSKaJPok+iT6JPok+iT6JPok+iT6JPok+iT6JPok+iT6JPok+iT6JPok+iT6JPok+iT6JP/0yfpJzszormxcXFpKSkcMgn5w8k6Y/U0fqRfxdpBrw0i95kMslvglTaYF9UVVXJs+WlP/nEiRNbyywcSDs/KP8ecwb2jMkMvreJgTPn4UsbQfYpt7c5V3qOq96dgUal4sVzT+bHxwvJ+7QUjcZOlDYKvdVAVP9mckMNNOXHMdrjJfWWDOa/Moe0rEziBqdg62HDkmZBpWkJgj+T7uGt8uDYam+dYe/a4SDkD6HQKjFmmzB1s2DKMaPJMFFVFWTmf8vx+cuYdFUxOf0nEmiyygn65kIXhrho/E4wZVeRu8ROTJ8QiRdtYf0jA3FuM9N/hJujnhyA2qTF5fXx6Mw5LNlewDXHjOLkgX04mErZzNKG6Yyc5cQasKIZcR4v1/zM+sfVjEmZyDnP9ca34zsaiksJ2QYT26sfSrWakKcZ55yb0WRNRNvjdLktr2MHjQWvYs24HK0pq/UeW5yreLX8AYZYxnNW7A1yXPiqVtO04GaMPS/F0L1lVv3B4vGVs730ThQKlZyg12riD+r9DnfSd5pUWkVitVpb/2MiCMKhR8SrIIQPEa+CED5EvApCeBCxKgjhQ8SrIIQPEa+CcOg7WMn5g1bW/v77799jovrll1+Wk4v33Xcf4UBak0BKzjscDn744QfOOeecfbo+Li6OmJgYqqurKS0t5WDKLR9Kr5uLSVntIRAK0ZQ8ot05P2/OI6+yhufOPpHKXB95sxvQK+pQY0NrNBLy2dEOq6fkzUgGEyTmmFj++9STfJO4AEuukbRZSWRUpZHgSsISG0FkVgy2LtFYu0QQ0dVKRKqZiGQzuni9/IoaEyPfN+gN4sp3yLPqpWR9w4Iaqr4qk49porVMHRnLr5tTmfmshrEXzaX/2JGMfKoHq5/aTvniaiKyYrBvjaP7MBN5a8pxPtGdPnesJ++dbFb9lkjDOcsY92IfTGlWHjppMq/8spjpcxZQWt/I/40bcdBKxCTQBY05mYrELVhKggS2L2Pa4NNYMOxucn/sSdHqNFK69kdf+BtOXw+ay0qwpmXIs+XVmcfg2zEHTfZUFFoTGmMGKm007oaVbZLz3Y0DOTvuBj6ofA6bOpYpUeeiiRuAodu5ODe9iTp2AJronhwsOk0iXZKfZHvZXeSV3k520qPotLvW+xD2jTRqa+eaJ39cC0UQhEOPiFdBCB8iXgUhfIh4FYTwIGJVEMKHiFdBCB8iXgXhyPWPJec3btwoJ+f35txDRWxsbOt2YWHhfrVxkAoVtKPt7SE6JkTM4jU0JI4gpGkpZ7+Tzx/gzQXLGN4lgz4piXxx23aUDY341TqsWiNKVYD4sUFWzlUTY9aS6PHhT/fyY9ZSovsZsUUbyCvexsamTRi8GlIckaRVxZG4Mgn1zEhUDWY0eiMqox5DtEFO1FsyIrBmW4hIsWBJNhExJorYaYkts7/rvHKyvnldIzXfljJqUCTr+qUy51UVjVVLGXVKbwbf043NbxWT91k5tq5RNOWZyMzJoKK0gE33d6HbjUUYM5rZ8XE37Oet55jHMogdlcLV40eSFGltTdBfPW4EadH7VvVgb6jQkKjuSVVPB1mbtqIMhkhVnkH3YcnULctn8QepnPFUD9RGGwZVFa4aA4boGLQmM5qsyfjzf8K34ye03U5qKadhG4Sjeh7BhGkoVbtKawyxHEODv5bvat/Fpo5heMRkDD0uxFe9Gvvyh7GOfw2l1szBotXE7UrQl90hJ+j12rSDdj9BEARBEARBEARBEARBEARBEARBOBwctOT84eiPs93N5n1PfkrVAmpra+XtpKQkDibFhLV03RBNUKWjMX4Ilj8d/2bNRiobm3jslCkULHNTurQJo7IBjSIavcUAoSa8WfVUL4pieChA3CkJPPP2o7iGu7hu5JmM7HIctYEaNpSsZFX+ajYUbmNb6iY0Q7YQH2kh0WwmyRWBvkKLrspMQ7UN9aYolHMioFGHUqtCoVGgMWuISLMQkSkl7Ftm2idcmUbVOyX0ivNgnZjK0q9UNFTkMvkyJz0uHoA5Wc+66QWYUix46vVEW7MxRBSy8fE0ss6rovtty8l9fjAzbyphzFUNZF3SixMH9CbJFsFjM+dy8Rsf0zM5nql9ezC2WxcM2l3rWPxVyfSgJGoDjrhIIqprCO5Yxgk5p/Pk4OfJm9OdkvUpJMT1J1jyG+qYbjQVFxLdrSdKvQ11+lh8+bPlRL1CY0BnG4ij6ic8TesxRA5pc58JttNp8NfwWfV0rKpoepoGYx5yD41zL8Ox+lnMQ++VE/wHi0YdRZfkx9ledjd5pXeSnfQwBt2uGf7C3pFGQ0oVOQRBOPSJeBWE8CHiVRDCh4hXQQgPIlYFIXyIeBWE8CHiVRCOXAenvvdh6rPPPmvd7tNn39cvf/XVV1tnzh999NEcTNtXrySudisNicMJqXRtjjk8Ht5bvJJj+3QnxRrJwjeK0dprCWDGqDMSCnlIOSnEylk6km1q4i3QoK1hfs46stLi8BfEsWNNBVFVCZyTdDkvjHuduRf+wmdnfcblQ64hWpFJXpGLXyuLWRtRTv6wEsov3U7p3Ssonv4zpW/MouaxedhvWInrxG00pBZQUrKdTZ9v5Le7FzP3iSWYT48j6AqQsKyEiSclk78inRmPV1FZuoDUSTEc9Ug33DUOCDWj0qvRujLI7GMg/904PBsj6PvYfHzxRua85GHV7YvxO30MyUzj06sv4N4TJmLUannmx1849b9v89QP89hYWnFAqhrEkY1aaaBmxDACPge+zfPoHzeYuP4aGqOLWPJRGeq4/hBwY7IE8DudOGuq5Gs1XaaC342v4Gf5d5XGisbcFXf9inb3kRLvp8ZcRU/jUN6qfIxCdy4qUwKmgbfgLZmHp/BHDja1ykZ20r/RqmPkWfROd+5Bv6cgCIIgCIIgCIIgCIIgCIIgCIIghCsxcx54++23Oeuss9Drd5UO/7PnnnuO77//Xt7OyMhg1KhRrccKCgqor69nwIABHV4/c+ZMHn74YXlbus/FF1/MwdQ3rxZfTg+aYwe2O/bR0jV4/H4uGjmUzXMc1G1uxqh0olXGorfqQdFMnamO5upoBgT9xF2UwgMf34lvuI+uwa689/JHKFGg1ilQG9SkxMaTlZ1BVnZXBqYM4pQpJ+MOulhatIIlBcvYWrENZZmfLhFxZKr0xAZDuANN1BvLqe5dgidSiUKlQqXRogkaMMxP4pcnXAy4uB+mHRCYuYPjj09j9lwVnzxUybSb5pDZZzyjn+vF0vu34qqowdY9joYtiXQd2ET+whDOMi2975tH7vRRLIOaVHYAAQAASURBVPnZTFPRbxz19BAMKRbGdu8iv6qamvlxw1Z+WLeFH9dvkUvdSwMWJvfuhs24f+u7qFCTSA4V8WWkx2YQrMojVL6VaTmn8+aAj4n+OYuyHclEmRJQNG/EEDMSe1kJelskKkMU6rQx+Lb/gCZzAgq1Ti5t31zyEX5PFWpdXJt7KRVKLoi/jZfK7uK18ge5MeVpYlLG4qtagXPN82iie6GyHNxy82pVhFzWPr/8AXkWfVbig5gMB2/Ne0EQBEEQBEEQBEEQBEEQBEEQBEEIV4rQ37UI+m7WnJdmn0szgAOBAP8kKdne3NzMqaeeKifds7Oz5bL10r7169fzwQcfsHDhQvlcrVbLd999x4QJE1qv/+WXXxg3bhzDhw9n2rRp9O/fn7i4OHkmdn5+PjNmzJBfO//U06dP55prrjkofSkpKSE1NZWvzo3DNOYq1Dnj5P0REREMHDiQmmYH57/+IacO6sv5g4bwweW5BDZvJ6gwEm2JRKMLkH6em9mzfSSqLQxQhXAOaubK8tvo0juWwoUB7P0UxNYaSS62ElVjQ1OnpF7RRJW2moDGg0qvwGrUkxkfT2ZiKpHxcTSafOT7Ktlck0sgGKBbXA5HxfdkkDoB7fZyyku2UNlURqXGTsF4JfqqZGzP9KDriBwyYmNoWlCPfkIiv2x20VRXxZRr7PQ+6hj8DhXLH9lG3WY7SaMSqV7twxDvpbSghIDWR9b1uRR/O4iaX6NIs5Qx6rGeRA1tu6SA9L6sKizlh/Wb+S13h/z78C7pTOnTgyGZqaiU+1ZgooI8lvAZYyrHoP3oUdTZw1FMuY0rvz+DlI/Opn9mf064oghf8Tz0Q++lZutWdBER2DKyCTqrcc69DV3Ps9BkTyYU9FOb+xj6yKGY44/d7f3sgUaeL71Vfu4bUp7CHDLQOO9KUKixjnsJhUrLwRYIOtlR/hBOzzayEu/HbOh70O95OPD7/VRWVsrb8fHxqNVivJQgHKpEvApC+BDxKgjhQ8SrIIQHEauCED5EvApC+BDxKgiHvp05V0lxcTEpKSkHpF0R7b+rq6vjtddek18dkf7ob775ZpvE/B8tXrxYfnXEaDTKM/CvuOIKDraypgARhiyS/7T/nYXL0anVnD2sP6tnNOIobMKgDGBSGzDYdKBupsTViM8RTZbPR9y16dz83vUwJEhiTRrr+lTSrfZo/LF6NmSvwxcqQuXxE1VlInNHCpkFMZgrI2hS26kurCFXu5ZGdQMqjR+tOkScWY/apqGsZDX/0yxApdWSHZ3O8IFHMaz7+UxUmln+6rP8PKSY6oebCbzgoakwg77HdaXp+3LG9o9khS2Jb5+touG8OYyYdjRHPdqddS/soGRuGYlj4mnI1ZMQl0GDo4gtj/Ug6/L1GJIzKZ6RyewbcknPWEVk7ygsPaKJ6BGDqYuNQRkp8qvZ5WbO5m3ybPq7P/+eKLORyb27M6VPd5IjrXv1t48jEy16KuJ9ZCT3JLBjGQa3ncnZJ/JD/zlYf0mjqq47tsCPhJrysCSn0FS4A090LDpLLJqUEXi3f486Y5ycWNdbB+BpWIUpbiIKhard/cwqK1clPsRzJTfzevlDXJP0b8xD7qVx3tU4N7yCqd91HGwqpVGeNb+j4mHyy+4nI/EeIoyDDvp9w53P52PFipZlCyZNmiT+ASYIhzARr4IQPkS8CkL4EPEqCOFBxKoghA8Rr4IQPkS8CsKRS0Q7MHfuXObMmcO8efPYvHmzPFqptrZWLj8vjViSZsIff/zxnHHGGXKC/c8GDRrE+++/LyfmpS/T8vJyampq5JFPkZGR9OrVi2OOOYbLLrtMnlH/d/hwnZ2rzmz79hbW1Mmzw68aN4Jgo5q1n5djcFYQVFgxGA34nXYyLvfy3QwzXaxKIs1qNqxcyrpu+fRJTGH+igIG6qYyYfl4LN4QfvN4mhICFCfWUhhdSP6QDSwfvw1V0E9MQxSpRVH025JGZkEsLkWAGk0dNbpaqvTl1Giq8avBaWhguamKhRsXofruOeJVFs7KmsDZ5eP4SjePytuX4P/Qgf1DB0PO74vnp3oGxeqxDk/i13eUNFTMZ/IlQ+n/ryzMKXq2vFNC7OAofHY9Zmc6xrQytr/UhcQTSsi5sYEd7w1lbQ2Y5tsxziolQrURg86HpWsklh4xWLpHM6VHJicN6E1eVQ3fr9vM16s38NGSVfRNTZKT9Ed3y0an6Th0lKjk0valbKbr0Vfj+eBavAveYPLRl/JV149wr6tm2ZdRHHtiMv6qNRh69sFVW0NTcSEx3Xuh6ToNX/FC/EW/ock8Bp1tIK66RXjtuegsPXZ7z2hNAlcmPciLpbfzbuUTXJxwN6a+V+NY8wKauEFoE0cc8M9Yu34rdWQm3Edh5ePyLPqMhLuwmoYd9PuGM6lyyM7lNKRtQRAOXSJeBSF8iHgVhPAh4lUQwoOIVUEIHyJeBSF8iHgVhCOXKGt/GJdY+PTTT4mNjW0ta/9FQSX51bW8c+nZzH+5js0fb0PrrMWsjcOabEFtdNA8oIbtS6IY6wnS5dYuXP32ZWzvV8pA+wCWRzo5d+6/6F9RTrTWg8MZwhXQ4lNa8Goi8Rm1uCJUVMc1UhhXSlFULlVRZTgszcT5EkipjqVrQTRZuSZM1SqcAR9V6hoqNJVUGMoptBVRaanCbbRzrK0ndx19JbM3fsj2IQEiFmUS9VF3+p3VG/2mAEFviPrhcfw2q4y0Pg2cfHMvLBGplC2oZfXT+ZjTDZgSoqle7UQX18COzXVEDKol86IyAsWDadzUhaqNGjyNPrQKL1ZdMwZnNbrGKpSKEBqrXp5ZL710XSNZq2zgx215rCkqxaDVMKFnDlP6dicnPna3/+GsIp9FfMJYLkL78VMEq7ZhuPRdXtr8Cht+KSfn57M54zY7Uco5GEc+hN/rp3bLRsyJKZgTEnGvfJlgXS6GY55CoVRTv/0FlJoorGnndfr+b3Ks4PWKBzkqYjKnRf8f9iX34q/dgG3CGygNMfwdQiE/hZVP0uhYQnr8rdjMo/+W+wqCIAiCIAiCIAiCIAiCIAiCIAjCoVzWXiTnj5DkfJUvyCurt3LX8RPoq81gxk256IpzCRBNdLQNpdJNxtUevn0fepv09EzSszmwknujXmBoZjbLNzYxzHkWwzb0xTJ+PXQxktgcSVyTBX2RF9fWKuwNXpxeBe6QAb86Eo/WhtOqxm7yUxFTRWHMDqqjqmiIsqM1W0kPpNK1OoH0Yi1RBR40VUqaHHbeiH+fLakb6GqM5JkTHqBk5XcsHliFpjSaqBcG0HVoDknKCLwFLvyTEvlpTiURcU2cfkcqccndqN9qZ9mDuSg1SpJGJ1I8x4EuykVRQTmqGBfRo+owZtqJSolE4xxA46ZkStb6sFcHUSqDRMb4sOnsGBxVePOrCDh90tA1jOlWQhkmNurszHNVUKRxkxkfI8+mn9grhwhDyyg3SZAgs3iBNPrSvdCG68t7UfY8mqqhp3LLT5cx9Js76Joez8QJ76LveT7quAE0lRThrKkitmcfFO4anL/cha7fJWjSj8ZVuwh75XdE59yJUm3u9DOwtOknPqp6nqnR5zPBOIXGuZeiMqdiGf00CoWSv0MoFKCo6lka7L+SGncTUZZj/pb7CoIgCIIgCIIgCIIgCIIgCIIgCMIRl5x/6KGHOj1eVVXFSy+9JCfn77///r1q87777jtAT3dkJeelt/h/a3KxRUXx8vmn8t3DFZTMzkXhdGLVxmBNMaOPcVKaXEPVpkjGuIJ0vSeH8985j8oetXQt6c72RC1nzLuOzLgCGi51oFKpcLs9OBrs2Oub8Tf5iXNGkFxnI67BgqnYTbDJhccNrpAGr8KCVxtJszkChwma9W4qosqoiq6mIcqJJ1KPNSKOHr4MUr9pYEXFd8zJ/gmLScEdR19ND4ePb6IW41UaiH6hP8mGLnTvlYpnlR3l0fH8vK6OQKCZk2+NJKtXP9w1Xpben4ur0kP2aakUzXaB0otHWURDlR+nV09QHQK9C0uqj5jMaCJjMvA7zdSXhajJ9xMKQmSqiriUAFadHVV9NfYttTgLGgkFQ9gVfootfjZq7dTHKck5KpMzjxlC1/iWARFr+ZFKtjMhdBWe96/D31iC8ewXeXjj8zSvMpE8+3hOu3IFcdlG9L0vJhgIULNpPRqTicisrriXv0iwsQjD+McJBT3Ubft/9s4CvI7j3N/vYSYxsyzJzEwhh5matIEmpbRNubeMt/TvLSS97W170zA1aZKGmWOKmW1ZksUMh5n+z+yRbDl20vY2jq14Xj37zOzs7Dmrc+bbs7u/+b7v/6ExFOAouw619sj0CuN5YeRBnhu5n6vyvsTsaA6+t76CefKNmOo/ygdFOp2ia/D3jPhfpCT382Tbz/rA3lsikUgk/x7i2iGRTBFNJJQllkgerEfjCWLJpFKOtQk0KjUatVhUaDUaNCqVsq7VZNq16kPblVI12m90fWz7O/vJ0G4SiUQikUgkEolEIpFIJBKJ5INmwonz6mPwMFV62P9rA+WBBx6gsLCQHf3D3Le7hT/deDXZg7k88/39mHoaSVJAbr4T0kGKb4ry7N1q5lj01NfbWNv3Ev+v7E6Wl0zhjQP9nNFzE1NbizF8qw1zQQnFrlK06jjRqI+QWJJhYvEYsVgM74gX76CXZH8UU4+KggE7Bb1GrL44qViUBDpimAibXHgtNsJGO0F9krA+wlDWEF2VQeZ1l5Bcv537ah4kkRXg4poVfHLm+TzV91cGClO47q0jd28DM86qI7k+gHa6k3XeMENdAc76rI5ZKxeQCKfZ8v+aGdjkofbKUga3JYkMJnBUBNFo20irI8RtWQyHYbg9QKhHj0ZlRqu2Yc93oLUaiEc1BEYgjRqzS03xND1FDRpsej/R1hH8+4YZ2dnPQLeb4UCI7iot33z0Uxj1OoZoZzUPsJxrsW3bRuyt26ByJnvnnMkvVn+bpU/9kPL8GKvOfwnz4h+j0hoJu0fwtjbjqp6ENu0h/OYPMMz6FLrSJcRDnXg77katMeEo/zgafda7jgNh1g8P/p63/S/xqcIfUNa6nXDj/dhX/A5d9pQPbDyK4+ge+hND3mcozvkkuc4LP7D3ngjE43Ha29uVenl5OTqd7ngfkkQiOYHsNZlKKaJ4PJlZRD0mhPJx65ltol9GQD9y26H6eDH9oNiutGVeN7Mt0x5PJDg+sZWORAj0NpMBh8mIw2QaLY3YzcbD28atG3VaKeqfxMjfV4lk4iDtVSKZGEhblUgmDtJeJZKJg7RXieTkFee1HEPeT91fPmD9v01mEA/2n2nqYHJeNjOLi3nk1i603h6i2HAajQgHbGuljq1rvbhsDgoDSbLOyeW+B5/EbjPQtzlOfsEUyntrcU3byyZvhMfuf5WCHAcVRYWUFeVSmO+kuriSQocGgy6JuiJOJB7AF/URiUeIxmL0BcP4e73EWiMYumLYWxPktPoo8cVIpWIkNEYCZgs5niwK+qrZPbmVogum8qXHb+auknt5NPU6+0da+fHF32PHzgfYdd1eom94iD4SZup5Daj2eFmca2LnVAdP3+rD3buaUz6yiPk/mMTu2zpo+msnZWfnUbDQge+ACe8BK5EBD+loAJ0pyaRJJejnpgnqWwmnmol7HcR7SokN21GFIBFT43VrGTmgY9tjavQmNQUN+VQuLmfKJ/XM0UZpfn4/b/z8NZ5/6G0uumYp2ZRixEI3e5lSvQD1tseJd25n+tRzKXKU4p2/mQNPL2Bwto7ioV3oCuZidLoI2xz4utrJaZiGNn8m8aan0JYsRmcuxVV1E972O3Ef+B8c5dehM2VOCkezl8tyP4s3OcwdfT/jC1U/xza4hcCG/8Rx2l9Q6987NP77hTiO4pzPoFYb6B66jWQqQL7ramnPoyQSCSXFh6C4uFhegEkkJ5G9JpJJWgaH2dszwL7efhr7BglEo4cE9n9DHBfe6HqtBt1oqddk6gadVqmL0qDVYjUYlO2irteNllqxLVPPrI/Wde9YH20bez21SqV42ifTKeXaQ6mn0iRS4lokrbQpSzo9bnuKhNI+2jbW5x1tYmKBLxzFFw7jDUeUpc/nxxsS9bAyweBon8Hhgn1GtLe/Q8QXpVmvU7z7tWrNaKk+WIrJppKJh/x9lUgmDtJeJZKJgbRViWTiIO1VIpk4SHuVSE5ejpk4/9prrx2rl5b8kwgBdH33AEOhCJ9bMpt9r4YZ3DOMOeAlrS7Gkm0iGQ6gXxyh914LCwyQvTKXB/70R7onDXGaeRYv5Xdx8Z4bsce8+C9J8+SDjcQMbgZU7XTtb4JtNgxqM0atieK8bArys8jPs1OU76CyuIw8ix6TM4VGkyBdEyO4KIg/GlAE+1AkiqcvQqI1iKo5gnV/itIDbRi1PaiTc2it6GXb9dncdM+neTT4d3bFt/Gp+7/Mf1zwH5zV18TLS3fSU+In+rsgtXPryQ9qmOIF5woXax72MNK7hotuXsDUT5djLTay80/t5MyIUrQsi9IznKj1OcTcYby7m/A29uB+xU4sUk9aqwajD1NpD67lLViz8zEaKon5LbjbYww2hnF3p2l9S0Pjy340BjWWLA1FU4pRVZTR+uetJD6yEK1OSxH1ijg/1XYa6tKZaNo2EN14P+fOupi/+H7PyrxFbF3bQMHUbYo4L74ze2k5Q3t3EejrxTzpAsJv/Zhkz0a0xfPR6LNxVn4Gb8e9eFpvw156FQZbw1G/f41Kw3X53+QPPd/iz/0/4ouzvon6jW8R3PprrPO//4EJ5OJ9irJvQKu20zN8F8lkgKKcT0mBfjTCiMvlOliXSCQfTnsVkxV7PD729Q6wt7dfKZv6hxSBXqNRU52bzcyyIlwWsyJ2C4Fcp1EfWWq0h4nuohzbntlPc1zDwOvEMaH5wN9XiPPeccJ9RrTPCPe+0XVPKEL7sOdgv2Qy9U+9tvgoxfcthHrxeY+F3T9cxM+I+iIMv+gzPjz/wQkSyiK+x7FJEEeWmYkR77JtdFyI+rt9v2I8hWNxIolEpowniMTjhOOZ+tHaxGeXqcfHbc/0EaXFoCfLYh5dTGRZLUo92zrWZsZmNJxwv+ny91UimThIe5VIJgbSViWSiYO0V4lk4iDtVSI5eTlmYe0lxz/Ewn0P/pX/3ddJXbaTT8yZQ+NdLmI7dxELGsm2urDk6siak2RT3wj6iIX5Pij7eiWXPXklqZIEhr15GHOmctrmKyics4PXa3w89tw+vnxpFlNLc2hMdNPiG6KpM8TgIMQCZgzRbFIBKzqVEYPGRE62nZxca0awL3BQVZRNntWISZ9Cq06SVsWIpMIEk2EljEvEFybyYj/xO7vpKJ9Lf66fgcUJVt2rYn16HW9Uvow6K85l8y/hktLpPBn6O4GYiqxbplJqmUJ1fj70JwicauP1lz0UVMf5yLdnY3XaGdjsYcfv2wgPREWc+oNozRqMWaDT96NReVEZHKhMlcRjOvzDHsIjIdKqJDqDHmelg+zqfCxFBlIaCPjidG6N0bs7jqdHePklMXmfpvbLszj7puUM08Vb3MtSPoqrbYDYW3cSiwygWngNN7f9hZndF5H6WwmXf+otSi/5FipdJpe8v6eLYH8fOQ1TiW/9b9JRD6YVPzn48DudiuPr+isx/16shRdiylrwrmPCn/Rwa9fXUKs0fI4LSWz8Lyyzv4ax8lw+aIZ9zyt56J3WlZTlfQmV6pgG75BIJJLjgjcUZl/fwEGv+L29AwQiUWVbkctBfUEeDUX51BfmUpOXo4iukg8OcekrhOgxMT8Uiyme/GOe+4q3fiKpRAEYaz+8zEQDEB79Y57+79w+fl1EQoi9I53AvxMhQUQFMIxGOhCMieziOP4RYjKICPlv1OqU0qTXYdJl6kbdobaxSAmhaIyRYEhJ3SNKsYjP7p2veUjAHxXxLRayrGayD2s3KxM4JBKJRCKRSCQSiUQikUgkkonAhMs5v3nzZubMmXMsXlryTw6Uz/32D7w96ONbS2fBrlL6Xglj7GlBrSkht9xJMurHeW2Y1/+qY5lOw6RzC7hn9f9wf8OLrLIu4PlQBx/Z9B2KAlE03x3mZ3dupjY/xa3nTlO8wlMJiCU1REjTr3GzJ9FFs3+ADreHoRFI+K1Y44UYYtmEPDrUGMSQw+k0kZNroyDfoXjYVxdnk2czY9al0Whi9Aa7GF7XhfZX3bTkNuB2QtPyQc58zkpf3wH+XvEY4Tw3s6tn8NUzPsPa9vvotASw3VFOwf4ZTJ5XhaYlQXK5lVc3eTFYklz13QbyyvKUzyWVSBEeihEZimXKwRjh0SXU6ybY2U/MG0elNaE2OsS8NbSVHtS5bhKxNPEeF8n+bLTY0Jl02CsNuBpMpPRqXvidj6S+A0dqB598/dNozDpe5A8UUMP0xKlEH/8hKVWKRGiQp6bN4vnW51ny6HfIt27mvB/MQ1eYEdnTqRRDe3aiMRqxO9NE1v4c4/wvoS2YdfC7TqdTBPueITyyFnPOSsx5q97Vc20w3sMtXV8jV1fEx/tzSXa+hv3UP6O1l/NB4w68SUf/r7Gb51Ce/w0l5L1EIpFMVIQo2jwwdNAjXgjxfR6fss1mMtJQmEd9YR4NhUKMz1PCqkskY4jL8IyALwR2IdhnhPaMoJ8cJ+YLcT95WCn6pFLpg4L6QXF9nMg+1mbUZtaFsP/vIrzq3cEww4HgqGAfZjgYxP0OEd8TDJN6x22G1Wg4KNQL7/scm5Vcm4U8pczUnWbTCeeJL5FIJBKJRCKRSCQSiUQiOfnommjivAjDUVRUxLnnnsv555/P6aefjtEoH0h/YANFb2DWl77DyqpSziqsZv89Lqzd+wkHnOQ4nBidKgpPhze2e8jWGZkV1JD/qXwuff2jmHLVxBvtFFpWsHD32RSeupnn7B5eeq2V/72ykqIhE1GrCWO5CYNDjT4eQ5VIQgISKTXCN7Bf5WVvrIvd/l46PG4CkQSpsI3seDlOVQmpoIXhoSSReFLxLHM6zaOCvZ2ZDfkUF0QY2NuF/hd9tKoK8drt7FzSwsp9uWg3jfBw0aMMFLdRUJDHF87/Conh9WyyHMDwsoucv81m8op6LG2gnmnmzV4/YV+aS79eTs2sfyxGC5OI9jTi27WB8GCEhKqaBFVERyAcGSCWt4dUfivxQSORbeVEdpQQ77eRTmuIpHX06/UYgy8w/cbJnPYfp7CLl+lkN2dyM8mNj5Hs3EbM10GwegFfGnqcM0ZuwnMPXPXtEYrP/MTB44h4PXha9uOsrCG9+0+QimFc9oPDHlgr3n/Dqwn2P4vBMRNb8WWoVEd/8N4eaeT3Pd9isn46F+1pRaXW4jjlj6g0ej5ofKHNtPX9FLNhEpWF30ejzkQMkEgkkhMZcc7tGHYrAnxj3wB7evppHRxRPJaFR3Btfs5BEV6UBQ6bFBklJy2pVApfJHq4iB84JOIPB0MMBYIM+gOHpRkQnvg51kOCfY7NclC4HyuFuC9tSyKRSCQSiUQikUgkEolEciyZkOK88gajD86EMH/qqacqQv15552nCPeSYzhQJs9mznkX8ePTFzH4cg7+rUFMPX3odMXk1DhIRvwYLg7y9pN6VqKm9mOl/O6ln/Fk7VpWaRbxSrqXq9Z/h9zkEMn/8PHzv2xiXqWW/5xcSegJFbqEnkQgTEKVJF6hJTXVgKZGjylPh0GVQhuLo06JB7MqYmkVg/jYF+thu7eHZs8QkVgSfdpEsaqWAk01upSLwIiapu4R/LE4q06t59RFDoZ6e0jd2s1ghx23s4idMxuZrSmg8DE/T+Q8T1Ppdox5ei5a9hGWZrt4KfUKqX06sn47g5qZU8n3m9AUGdikC9HTAmd+Io95Z0/6px7oplMJ4n07iPVsUgQZfdEc9AUzUWm0pNIxRgLbGQ5sJJIYQBWyE3m7jsZfFOHGgsc2SFF8Kx974eOEc728wd0s4Sqyh9XEXrwFiiYRa3mTOydVsMd9gFn33khBTiMX3nI9Kr314DG4W5qIh4K48jRE3/4VhlmfRFe69IhjjXh34O9+GJ25HHvpNag1R58Iszu4gb/0/ZhT1QtYvO0tjFXnY5lxM8eDYHgPB3p/iEFXSFXRj9BqnJxsiFQOjY2NSr2urg6dTne8D0kikbxDXGwZHGZLezdb2jp5e38LYZGH22KmPDtL8YqvK8xjclE+lTlZ74tXskRysiGusTyhMIP+jFB/qBxfD5JIJg/uo1GrybYKsT6zCA/8vHECvtNkYKirU7nek7+vEsmJjbwelkgmBtJWJZKJg7RXiWTiIO1VIjl5xXntsTzgp59+mqeeeopXX32VcDjMM888w7PPPstNN93EzJkzFaFeLDL8/fuPqqyKhXlOGDbh3qPCMdJJlEIcdgOJYIjSi3W8+LKamkI1rqiOqCnAKxVbKTdls7b1APOSl2CIGTFd1M9jmwdJxOJ8dnY5kdeiaB1xXHPKMeZORp2wED4wjH9TL7GnfSTScXy5KmL1OmjQoSvVYjSqKIhaKdbVcrpxEol8FYPpAE3xPnZ6etjs3kE0nsbgNFGbX4dmsJ4XXt5LU2suH72oiuS39Njvb8f0ShvqLfXsrTmA/yYXl/7pHFZH89kQfoNHYvfRPHUBNyz4KGsmPcLgzzYT+6UHv3kmVUN5zNXoaZoT5fn/HWTtYyPULXAyZUkpJfUW1OqjC/XCs1xfNBtd7mSi3RuJdb1NvH8nhtKFaHPqyLHNI9s6l3CyE3d0M7787eS1e4ndM41wOI+RhJ63b13D8p+cgQUH3ewlJ+ssVM5CVCodKrOLM7xJ3or14zwrQdPtLgZ3bSNv9iHx3V5axuCenYTjWRhKlxLddjsqrRFt4dzDjtXomI5aa8PXeQ+e1j/hKL8eje5IsXuKZT6X536ehwd+T171LGqaHkOXNwd94WI+aCymydQU/4IDvd+jufsbVBX+BL0ul5OJRCJBS0uLUq+urpYXYBLJCSAStg+7FTF+W0c32zq7CUZi6HVaGvJzmO20UGIzc+2F55HjFGlPJBLJv4sQ0F0Ws7JMKsh9V9v0hSMMvEOwHxotm/qHGAwEicUTSn8RzcLncZNl1DOn4QAVeTmUuBwUuxxKKQT8E8HzXqQw6PP66PX66fX6lJQYoi4OrTTLRVmWk7LsTGk2fPCRjiSSDwJ5PSyRTAykrUokEwdprxLJxEHaq0Ry8nLMPOfHI4T5l19+WRHrhUDf09OTefPRh2IFBQWHhb83mUzH+pA+9LM4VKecxxNf/Sy+12rw7+pC1TGC2VhC3iQ7yXiQxCl+dr2u55S4ipqbqvjJ09/klcptnB5ewjqjm8vWfR2XqYPoZ0P84rZNrJpq4uvlpbifDxC83kAgGSfe68XaFyNHk01BfjW24io0KSuRZjfBvb2EDgyRSMZJmFKEJ2lITtGiqlRhcGkxCzE+nkKNinRKxXAqRHO8n22eLjb0d7EweQk796mJq+Gqi+spLYzT/3IrhjvUdOZU0lnUh3qJmgV/jtKS7Oal4mcJF3nIr6rgkyuvZyjyJi2JPsx/LiB/z3TqG6oxBtSkL9bRNujnwBYI+fRYnSbqFuTQsCiH8qkmNNp3f1CbiniJdq4lMdyM2pyDoWwJWmfZwe2B+AEODNzHrktX4R5xMmDzUJnYxOV//xjtVVtpYxtn8QVSjatJbHsa9YwzCa++jV8V6YlrHZT99ymU1kU4/1cfPex9A309BHq7yaqbTGrv3SR7NmGYd/Nh+efHSEQH8LbfKdz+cZR/HK2x4Kj/y7PD9/LiyF+5qdtFrt+H8/Q7UJtyOB5E4z209HxXOebqop9i0BdzshCLxdi+fbtSnzFjBnq9fPAukXyQiEugHo+PrR3dbG3vYmtHD95QWAmrPaWogJllRcwqK1ZC1KdTSWmvEskJbs+BSFQR6buH3azbvpPBYAiVxUavL6AI36nR2x4R5aLIaVeE+qJRwb7E5aTYZX9fhXsxSUBMJOj1ZMT3jADvp8/nU9pEiP8xxHmnwG5T0mGI4+wc8TDkDx7cnmU1UyYE+2yncqyiFOt59hNjooFE8n9FXg9LJBMDaasSycRB2qtEMnGQ9iqRnPhMuLD278XmzZsVj3oh1m/ZsiVzIDL8/fs7UIor2HT7W2y+PYjpwGZCkRJy8+xoDXFKrtLw7BMBGvK0NKhNsCTGtV03U2bMoq03zjL3JygdaKDgqq080NHDnt1DPPiRWkzPJYjPT5GfY0WnMRBTQ7ctQY85zmA6hLE/jK03RjYOClzlFBZOQqdyEWsaIbxvgMC+PuKhCAl1gliFllBdmvQkDdpCNWaNCnM0jSYF7cEBftP6FlNiywkOV7G1tY8Viys4bbmD/u1tWH4To81WwaArSN/SAU5/Rk+gK8pTRU/iLuzCVO7knPkXMSknzqb4FtTPWMl+YCr1cyfj9BnQWLSYp4GnwE3HYJiOvTYCbhsm4bE1L4e6hTaqZpjQGTOpGd5J0t9HtGM1SX8vGmc5hrLFaMw5ykPh1sBt9D9lZc/3pzFi0BNTrWP5KXlM/+85vMYdLOIK8qL5RB//EdoZ5xHZ/xJbQm3cquvm2v7P0XR/lBvuX0VWxSHPsXQqxdC+3ai1WlzVNcS2/JFk3zYMC76CNm/qkccX9+HruJtkbBh76cfQW2uO6COO9cHBW9g58hI3NSVwOqZgW/ZrVKqj/8/HmnhiWBHoE0kfVUU/xmyoPi7HIZFIPvwM+PyKCC8844UoP+gLoFapFI/dWeUlihg/tbgAg+6YBReSSCTHAREWv8/rp9vjpdvto9vtodvtpcvtpd/rPyjc67QZ4b7Y6aA4a1S0F/WjCPfiesobjtDr8SkTffp8/lHv94wHvDi/CIFeIHbLslgodNopdAgR3n6wLsocq+UIkT0UjSnHJ4T6jhE3ncOi9CjrY2H+RWQPMblAeNcr3vbZoswsRul1IXkfEON8bBwLxDgVI3VsvL6fk1lENIlwPK6UkUSCiFJPZtpG1yPxxKF+iUz9nW1iXdk3kSSVSmPW6zAbdJh0OiwGPWa9HpNo04u6TqkfbD/Y51C7QauVk2AkEolEIpFIJBKJ5CSk68Mkzo9HeNG/M/y9cmCjN78y/P3/baCo0XD355uJtTYROxDBZsonp94KqTCemV7atxpYGVZR+/VJfP3vn2dDcSOLhxawz5bivI2fx5W9H/91YX552xYun+fgM1kF+NaHyD/dSI8pRsQKrqQOZ1iLMa0jZdTjsenoNsRpNweJi+8xnsQ6GCcrYSXfWkRhQS3Z5BNr9hLZN6gI9pF+L4l0gnieitAkiE9W4SpNE4oG+E3rm7j8Ncy0n8cDb+6moMjGVReVkvAMwq/dDMQqGLHCvgV7ObclD82aFM/kv0Bn3l7UFXomN8zlklnz2Rh6keiONPZf1FE3dzY5xS7SIwlSA3FU0RSGWg/RKj89AS2d+3PwDWZhsFmpnu2gboGF6tlmTNbD8wgLs0m4DxDrWEMq6kOX04C+dCE+mukJPsneK89isMVCty3IJDZy7l8uYsvcJ8mihNmcR2z13aT9A6hnXUDwqe/xHZeHipwFmH5WQ/WSEs7+wWmHvV/U78PdtA9rUSmWvFyiG39HcmgvxgVfQZPTcMQ4SCUj+LoeJB5sxlZ0KUbn7CP6iM/9L70/IjCwnqubAzin3IS54VqOF0KYP9D7A6KxLioLf4DVdOTEA4lEIvlXEZ6p2zp7DnrG97i9ikhWlZvDLOEZX17C9JJCGTJaIjmJGS/cd414R0V7D90eH/1eH2N3S2PCvRDShwJBZR8hCI5hNRoOE9+FF7zoX+iwk2+3Kfu/H6RSKfp9AUWw7xj20KWI9xkB3xPM3EsJcu3Wg6HxhVgvPO1FmWUxoVYfnwmZkhMnyoSYWOIJhXGHwkrdHRRlWGnLLJntIqLM2OSV92JMuxbSvXIvf9j6ODF/nMA/RiyZJJk8NAHgvRCRL4w6rbII0VwI6KLMtGXqJn1mm0GnU947HIsrSzAaIxQTS/ywMhyNv+f/KF7D+A5h3yKEfYNOiXhRMjohJmNf5pNGyB+buJEQS3J8mZkUIc554nvQazXoNRp53pFIJBKJRCKRSCQTjq4Pqzg/nkgkooS/F0L9u4W/F970n/3sZ5UwH5J3Hyh11lXcfPqvcLRvJxytILfYjkoVpuR6Lc88FGJmvoY6hw1PZQ+fCX6HBk0RuzwBzm3/Cs5gPoXX7eHO7a10tfn46xW1qP4eQ3WaCoPGwl1D81DFo5iTPsx6P0XOEOXWmJDdMadTpHQagvlm3DYDQ8konogfvyZMOpVGnQJX1ESeIY/C7Ary9aXo9oeI7hsiLAT71mH8zgDqT2tJ62L8uXMdngEzN1bfzB9f3cpwKMwl55dTnp9i5PetJNprGDGb2DZrK+drSzE8FGONcxM789ajrkjjqCzj6kUX0ctqBno82H5agrW/HH22HbVOSzqeIhlKok6pMDvjuKZ5MdTFGOh30bWnkOGeLLRaE6X1Jiaf7mDKKQ4ceYaDn7cIcxwf2EWsawPpVAJ9+WLaja+SaKpk/VXVeNQ6/MatnDrDRPZdLlrVmziLL0JPE/E3bkO/6ktEtv+dF9qf435bhE+1Xs3OZ7L5xEPn4cg/9D4Cf08Xwb4e7GWVmFwOIhtuITXSjHHR19BkTTpiLKTTSQI9jxPxbMKctwpzzsojHhRFUiF+3/1NCls3cfqAGsesr2GsvojjRTIVorX3J4Qie6ko+DZ2y7zjdiwSiWRi4g9H2N7Vq3jGb2nvon3IrbQLcUp4xc8qL2ZGaRF2k/F4H6pEIpkgwr3wgj8o2Lu9DAdCikBf4LQpwruyOG1YDIdfux2vc2CnW3jXe+kYdh/0uu9x+w56P4toIU6LSRERxf+RbTXjspjJFvWxUrSZTYoQKjn+jN2yi1KIyGI1zaFSCKJjYvt4wd0TDB0U2T2jwrtof6cQLm4R7CYTTrMRp9mEU6mbcIyuC2/y9Oj7i7/MsYytHzrGsT4Ht48e46Ht49bH1TNCukZ5n4zQrjsowI8J7ooYr9OiOQYCrzi2WCJ5pHAfPYqQP7YejROIRpXzw/i0GUK4FyK9iLpROhbJQtSznMclKo/43/wi5Yc/wKA/qEwsEnWRNkP8H4eL6hlh/Yi2UcH9UJ+UMobGR1T4ZxDpO4RIrx8n2I/Vx4v44nMa22bQatAdpb84f4nJR2JC1LEYExKJRCKRSCQSiURy0ojzRwt/P+ZVv3XrVuXGUoiLP/jBD/j+979/vA/vhB4o11bfwcq6LCKtehzmHLLrLGiNUbqK3Iy06Vnu11Dzg3o++8iN7M5qY2b3bAbtTk7dcT3Osh0MXBTj1tu384ll2Vytz8G/J0T+UiMveKewdrOJiGMIVb4Wvc6IKWnDmNaiT0OuJkyNaYhKoxe7JkZKl8ZjhVChjmiWjoQvQmDYjz8VImLXoBI36DoTOSonBY4S8rXFaH67H8+eNhKfUqPJj/Nw7za2dvv5Zvk3ea61h1e3H2DOrBxWLXPR9eherG9UM2B1sbtuJ4uLHbjuTdCi6+f1vOdQlUTQVGdz2vTTyMl30xFpIffxKAUv2bDW1uFoqMdUVkEqpSPsjhAejhDo9IGuD3NlP5rsGF37c2hbX8hgp4tkXI3VECcvN0FJrYacKiMmlxGjXYM6tp/sokF0p05mOLaOjq+dS9uranpMEap1m1ny87nsOPsFFnAZBelqYk/+J+qiKWjqlzP8ty/yFV0Ty4vPIPrzeurOmccZX5582Hcrxr+vq53w4CDOymoMdiuR9b8i5W3HuOgbaFxVR4wHsU9o6FVCAy9jdM3DWnghKtXhD1l9iRFu6foqU9qaWDyUwjn9S5gmXcHxIpWK0d7/S3yhDZTlfQWXbSUfVmReIYnk32ckEGJndy+7unrZ0dVLy8CQ8rC/wGlndlkxM5WlSBGb/h2kvUokEwdpr+8eHUB42A8HgsoEg5FgphwOhpQ24XU/3nt4TLAVIpgQ64WQnxHxzYeJ+GK7EMz+mZDlSvjxxLjQ5aPrYyHID4YtHw1NHhsX2lyUwnNZHINrdHKBWMQkAlGKSVfHw2NZXG8Lj2zxGQ6Jz1Mpg4wED9XF5yz+H0FGXM8I1cK7+GDbmIA9JmqnDhez/xXEx2A1GpXPxmEyKp+XIraPiu5jIryy3WzCbjQcN6/mD4O9CvsSqS3EZJh3Lr5w5LBoFmNCvfC2V9JQuJzk2Q9PmfHPIsaLiHgwJrgL8V0R3t+xHk9k0mAIxNsI2xX2LOxJTMDRqtWZRTO+1Cil5rD2I/vqNJqDfTJ1lbKvmAQUTyaVqAjCjoVNiwkQyjLallkfLZNJ5ZxwqDyy/9hrjP9/hOAvUo+Uiwgh2ZkIIUo9y6lMlJC8f3wYbFUiOVmQ9iqRTBykvUokJz4npTh/tPD3Ylm+fDlf+9rXjvchndAD5TsLnmFSeIhYoob8ShvpRIiCj2t4/oEw83NV1JZn02LcxtfU/8XsZCVbYj4u3fMt9GkjhTc086c3G/EPRnjw0kkkHoqgO19DIm3ljtVLiLZoSCZSxGNx4gkP0fgI6EKoXAnUhWmMFhHmz0yJ3UKVI0ml0YdDGyOpVtOvMzFk0eJzqDA7khiSftSeASI+HyGXjrhTj8XoZMkblcQfbyF6WQLNjDSvDDfyVFsrXzJ9hXiBi1ufWIvFruaKC0oI7GnF+UA+/eZCWkqbKaiIMOkZNT6/imcLniSWN4Sq3kl1eQOnz57GAfUmtH1hqv9mQrM7SVoFzoYqCpbPIX/JLIzZjoOfZyzqxdOzA797N0F3mPa1+TS/kUtvm41kUoVRHcNpCmEzhNCpg+gNg5x7x1IG8l7GFl3ES6dk449q6Lc3cmZVkth9IzhM+czlQhI7niWxfzWGi35IdOuj3Lf1d7yebeaGXWewfc0sbrx/Jfbcwz2wlNymbQeIeNy4qmvRmw1E1v0XqUAPxsXfROMoP+q4iLg34+99DL2lFnvJVag0h7/uYLyH23p+SGnrFlYMpsmZ+iXMDddwvBBe/52Dv8Ptf4XinJvIcZzLhxGRxuPFF19U6qtWrcJkMh3vQ5JITmjEOVB4rWbE+D5FjBdh6gVCjJ9WXMAMEaq+rFgJKf1+Iu1VIpk4SHv9v4fLF17Ww8ExYTl0uIgvROagWA8d4XktQvoLgVzk6RYi+2H5wROJfzpkuRD0hNfsoVDlohRhzHWKt6wQwcX7i2V8SgGBEAiFp/eYaK8I92Pi/WgkgLF2IUr+IzFU/OYIL+kxcT1TZj4b4XUsPouxtvFi4djnMRaVQAih4j3F/zQWzl38n8r/q1YdCvs+Gg5e1MX28bndlX3Uo/uo1IfaR/cTgmhGeBdCvBmb0TBhvIk/7PYqoll0jBPrRQQOkY5CpNEYswu9TqsIzMITvDjLoQj2IuKPGLPCHsdEdsXz/aDoLsZg8DDbEkK1GHe5Niu5Ngs5Ngu51kw902ZVJmpMlLHxXrYp7LB9OJPaQ0QJGUvzIezxvVJ7COFefAYnS+qB95MPu61KJB8mpL1KJBMHaa8SyYnPSS/OS/61gfL7pX9BNVhKlj0LZ6URU0GKvephkj4di4Y11P58Mtf/7aO0mvuo6mpAbZjEvOaLyarfSvuKMP97zx6+fFoB58XshHoj5M428mj/bJpfLKB0UoScYg2JGPhG1HiHVXhGVMoDsngqRkLtJRYeIRXwksSHXhulNEvD9CoDdaV6XFY1ca2BTpWLTq2LXrUDnTmO0RzCoA2iSbegLosxp7UW55/7Cc8Koj4zzbZwF3e0bOPK0LWctvJUvvfIS7T1D3Pm6QUUGQPofq/CraulJ7uPUG0rp26wEWuz8Vz+8wy5WjBNdaDNy2Ll5CXoswbx6XuobbFS11hPoC/C8NZ9pJMpnJOrKVg+WxHqDa6MuJNOp4hE2gkG9xKNdBALaunZWEnrmzm07VQTDSQxqZIYU3upnx9j5n/nEUg0Ebz3Ejb+OsCAIUqZZQd1X7QzeO0BzuaLqPxeYk//DN2iqxUP+o6/fpqvJjZwZeHp9N+6nIYL5nPaZyuO+I7TqRTuA83EAj6yauvR6dVE1v2SVGgQ0+JvobYf/eQQCzTh67wfjT4HR9l1qHW2I0Lc39f/K9L7H2NlX5yiKV/GPOXG4/bgQpyaeob/wqDnCQqzryHPecWH7iFKPB6nsbFRqdfV1aHTSe8OieSdnpYtA8Ps6OpRxHghygvPTnEqqMzNVnLFTy0pZFpxofIA+lgi7VUimThIe/1gwmSPifVjwr0Qy4SYLcKPC0/6sZzg40OUHxTcdRnB3aiEMz+07V8Joy/eyx0MKSHcxwR7sShtwbE2EeI9dIR4LkTM8SJ+lsWkHM944V38T++cAGA26A+K7qLMGvVAfmc0gX8USUByiJPVXsVkmH5fQBGVFdF+xHswDYWICvROhICfe5jwPl50z5QiSsKH7X7pX0WkIhCTITKC/SHhfnxqD2HHQqQXwn1pdkaw/7+EyBff4dhkpIxnf8brf8zDX5TKMi4iQCSRyKQWERNpzOaDESxEeTzSHvwrnKy2KpFMRKS9SiQTB2mvEsmJz4QV5wcHB2ltbWXy5MlYrdYjto+MjCje8Ndee+2xPIyTbqD8seZP6PTTKKy3kwgFyb5GzSsPRVjiUlE9I5/1gRf5qeV2FoXr2aj2cPmW75A0xin9RCe3PrMLVTjJvRfWEr4vgvlSLb6kgwdeW4hmRENo4TBbRgbRB3RUmBxUWyzkmXXoVBCPpvF5VHjdKjxuFTESxImTtPiIiMkBcS+uqJcZOh8zCnTkZetJa7X0p4x0G7LoshUT0Ttx2fdjLG+lLF1K/e/jxAxuVFdBi2aA/25az+LBVdx8+o3ctmMjf1+9k0m1VlbMsRD6cz/p0GyGrH5aG7ZwebOL+DYXq7M30ujcSFF9Dv4yM0lS1JeWYy7y4dKlWdpSxaTaCxluHaRv9VaGt+4V8SVxTaulYNls8hfPRO/MiNmJRIBQaB+h4F6SySBqVTbDbfVse8TMvlf6KUlvYslP5qBZ8RpFpvN5+hQd3r4UvbYOTikcxn9/F/OzL6aIemKv/I9wd0F/6meJ7XuF3772JQ5ku7hq97ls27SUT9w9D2uO/qgC/UhzI4lIWBHotZo04bU/Jx31YlrybdTWwqOOj0S4B2/HXaDS4ii/Hq0h7/DXTad50f1XWnf9F0u73ZRM/iKO6V88rgL9gPshekfuI9d5IUXZnzjpHzhJJB9mxEPLPT39B8PU7+7pJxKLK2JNQ2FeRogvKWBqccEJkdtZIpFIJCc+SpqnWGycYJ8R7UXpCY0K+GJiQTxOtmU0VL8itmc8j4XonhHgLSe8eCb58AjMXW4v3nBYGXdClBfRGOR90L+fekAI9sLjvnOceC8m+owPkV/icihpJg4K7qMC+zvF9n82IohAfHU6MTlJqyWZThGMxI7oY9TrMmknlFQU5tH0E+aDQr6IDDIm5IuJGP/KZCaJRCKRSCQSiURyEonz//Ef/8Fvf/tbZUax2Wzm61//Ot/+9rfRjvMkEHnl58+fTzJ5uDeD5N8bKL+teJb8vBycZQbsdSo2DQxj0aiZO6Sn+j8ncdWTVzGAm5zecgpSy6jrOZXsWZvZO8XP/X9r5ntnF7Ni0EI0EiV7spF7OxbQ83oWhfND7FbZUTkSqFxxLMYkKV8C91CIYW8QQ8BIudlMmcWCywQaVZJELIXPAx63Gp9XTVydJKlPEM/1orG4KdEGmKYOUqsPoA7FGLRnscG1GJXRT1b2ZuyVDmbfZUHTMgjXQF+Wh1taVlPSO41vT/kqja5hfvLAa6CJct7p+YSfb8bZugSPPsX2aeu4qstMfLOLFnM/b2W9oHjuV85qoM3mx5PwkptlpLBWy6xYFqeGl5I1/2zisRQD67bT99ZmRrZnZq9lTZ9EwdLZ5C2Zhd5uUbzpo5FOxZteeNVHQzoe+OxUctJNmOJxFv9VhcYWxbj7Cp76aDcedYx81z4KPjJM9leKmcfFJNs2EV/3APrzvo3K4mLXw5/k+75X+WzOMvbd8TGmnl/PKZ8+eqj6VCLBSNM+pcya1ICGKOE1P1dSGJiWfAe15XDhfYxk3IO3/S5SCR+O0mvRWY70zt8d3MCa7V9iblsbRZM+Sf6cHx7Xh0FD3qfpGvwTWfbTKc29GZVKPoiQSD4MiDysO7t6FTF+Z2cvTf1DileTxahnarEQ4oVXfAF1BXnotNLuJRKJRCKRSCTHNkR+j8eLWq1WhHSRTkNE9RATc/Tj15U2DXrNoegfeo1GqY9tH99Xq1Efdj8tJgt4wxFl0pAnLCYIhfGEDl/c48rYO6J4CMSEDRGi36mktDApdZHewm4yYjcZlPQWYrEbjUop+k/0lAYSiUQikUgkEskHzYQT5//2t79x5ZVX4nA4qKmpYdu2bYpIv3DhQv7+97+Tl5cRDqU4f2wGyp9q3iBrkp50OIb5sgSbn9ey0q6memUxz3Y/wO+sj7DMP4MtBj+XbvwmYaeH0o/38atHtuPSaLj97CoC90ewXa6jN57Foy/MwxAF/wwtvkEjGk0CVchAOqUmbY+TyI5CVgy1I4Y5riLtThH0RvF54xhDOooMVoqsOqyWOCrhTR9N4PeqCHi0+H0aEuo0aBLYXH7mGTqZXNDL+uzZdKmyyNFvwzw/wtQ3ssl6cgj15Wk81UF+37GWZE8O37F8i6wz7Hz7/pfY3drF4vnZOPs7KFi/AK/GxI6GDZzZH0G/y0U6lcXbWWto1O+m2GamcuYM9mp76I53YS5QU1dbwDnBmcw0LcdYUY3OpCcVCTO0aRd9b27GvbNJ8XTPnllPwbI55C2ajs5mUTzofd4NvHKHj/1POCnX7CJrZRblX2ym3HoNL340Qd/GCH3WARbm7Sd+m49zqr4k/mWij/8Q7aRlaKefTaJrB9958jLSdifntn+a7Runc+MdM7BkHek9L0jG44zs3yseKygCvSoZIrLmZ5CKYxQCvTnnqPulkmF8nfcRD3VgL74Cg2PaEX0GYt08v+2T1DdtIqvqCqoX/g6V6vjdzLv9r9Ex8BvsloWU5/8HapUM8yORTDSEZ+LG1k52CTG+q095ACoQnonTS4qYWlKgCPKVOVnSO0wikUgkEolEIhEp6OIijcc48X5U0Pe+Q8QXpRD9382r36TXKeL9eNFeWcbaTAasBsMRfWTUEIlEIpFIJBLJyUrXRBPnly1bRigU4uWXX8blcim5M66//nrefvttqqqqeOWVVygvL5fi/LHKOV/7LIasNM65KhoHteQ6UiwIuqj4dhWXv3QlgXAIw0ge07yXkO+fTf7CTWzMH+HJZ7r4xQWlzG4xEDfGcVYZub1pMe51DgqWBNnZk4/1wmYKG8A/BJEePaleI8kuMym3iXRCDcYUKVeMeHYUlSOG2pDCFFCj8qeJBZNE3GkMQQOFBhN2WwKzJUI6HSEZA/+wlqEuE9VFLZxX0khHbjFvxSdjVHeTM72DIp+Dqj/40a9MEpoV5a6hjbR0Jfia79vMu7KW2zdv5r4XN1BYYGBGUYS8Z8sJpQtprNrJ5FAXpa1m4t4skjojb5jW0GVoo6GgmBmnL2KDfxfbPdvQZaeZU1LH5dHzyNNMAp0elVqF1qglHY3g27MP97ZdBJrbUes0ilBfeMpcchbU09r6OA9/rZ6Z5XsY2Wtg8i2dFNZXkBW5lHuX7FfCZdoLWshe0cTcn19ACZOJb3yEVM8e9Bd8VxG/3/z7Z/hN7+N8p+Ac1t/7CaafW8yKTxzde16QiEYVgV6t1Soh7on7MgK9CI0nBHqT66j7pVMJ/D2PEPXuwFJwDubspUf0EXnoX9jxOfJ3P4W+ZCUzl/4Vteb43Zh7gxto7/s5FtNkKgq+g0ZtZiITjUaVc6JgwYIFGGSYbsmHEHGZsb2zhye37mZ1U6viGV+W7TqYL16U+Y5M2pATGWmvEsnEQdqrRDJxkPYqkbz/194i570vEsEfiSqLiFY1VleWcetj/USfsRD/70SE0LcadMQDAYpsZlbMnkF9USHVedmKkC+RSE4s5G+rRDJxkPYqkZy84vwxU9mEGP+HP/xBEeYFdXV1vPXWW3zuc5/jtttuY/ny5bz55pvH6u1Pepo9e5nsqCZUoCbWbqQiGCH/2iJue+RX9FiGWe6fwx57ktLmqQTzO2C+jlfu6WJKsZEFdgvB/REcl+lpjObg3WvFnh2nLWFHVegnf243pVoXTrsNTbmOcAL6Ex5GvMMEe3Qkewwkeg3Em62k42rQpEnaYyScCeKFEdS1CZKpBMPBIJ5ImnRARdxtxegx4bSmKGsI0LK3lr9g4prEDj5S6OGl6DQ6ts0klbcH349MTL4linU4xaeWL+Tx6p38uOPbfO7Or3Hd+fNYcHMJ37/neV7ZCQvPHST3pWEaDsygvcBG/5Q9nL/Fx1AgwumeUoZttayJ7OCBex9nYekUfnT193ih5yXe3PEGGyw7WOWcxA3ZH8FSPJdESk0iosM5ZxbWKdOIjnjx7tqLe+deul+/TRHqK79QT9VSLy3ripnV0E/H/VYMX91DXuEZTLrcxb77R+gdKSB7fTetm7dSMmcymqr5JJvXkurbj6awnkUrvk3eg8/xsmcTS1ZcybZnBph3WRFm59E9xbUGA1k1dQw37cXdsh9XTR3Gxd9QBPrI2p9jFDnojc4j9lOptdiKr0StcxLse4ZU3IMl/9zDvFWNajMXzLiDtcYfEd38e9567XTmrngci+7I1/sgcFjmU1X0Y1p7f0xLz3eoKvwRWo2diYqIJuJ2uw/WJZIPE4FIlBd2NfLU9t10DnsoyXLyqZULOX3yJCX05kRD2qtEMnGQ9iqRTBykvUok7y/ifl54uufqrOTarP/SvmISbeAdon1GuI8y4vOzZstWJfLVXWs2kUhl/HyyrRZFpK/Oy8mUudmUuBxKagCJRHJ8kL+tEsnEQdqrRHLycsw8561WKy+99BKLFi06YttPfvITvv/97yse9LfccgsXXnih9Jx/n2dxfNH8C2ZeU0nHQDbFWREmDRuo/149l6/9KLiTxCJ2lnd+AgPVFC/dwpuaPl57fYDfXVpJ7TY16fwklhIj/7trGYEtZvKXB9nVUYD5ug1YUp0YbFa0hQZQpzCgJVtloVSVjSFpJpbQMpiI0xUOE+rRE+s1Qq+RaK+eVFRNOgVqW5yULU7MEScmPOw1adRJMERUGLuNlEYj9OwxkMgZ5uKsTTRUqdmWLGZdsoo89QEcK0LU3Bcj3xtGfYaK140t3N+2k6tbP8FFs85CtwS++8ALbNzdRn2VhcI9IxR6T2PAPsBgaQcLIyoatvXhbeslFjbSlKdjbVYnQV2UFbnzWH7xqTzqf4jV7rWYNCoutUzm+lmfxDFl4cHQ7qlEikQ0QSKSINg7RMeTrzOw6S2yPzmLF26ZxYrpe/AMFGG/5nVq5i0l33guty1oJOGNoi1so2hqI+f86YvoVAZiz/8KlS0P/dLrlNd+/JnPc3fLA/yy5jM8f/slzDw3j2U3lL3ndx8LBnA3N6KzWHFV1ZIODRJe+zNUOgumxd9CZXh3z9TwyHoCvU9icM7EVnTpUXO6Nx64Hc/67+DOKmTGir9RaKrheBGKtnCg5/toNQ6qi36CTpvFRCQej9Pe3q7URSQRnU6G6pdMfBr7BhQv+Vf3NSshNZfWVnL+zCnMLCua0KHqpb1KJBMHaa8SycRB2qtEMvFsVTxz6g+EaBkcpmVALENKORwIKtv1Oq2SpqomL5uq3EOivdlw9HR9Eonk/UX+tkokEwdprxLJic+EC2s/adIkvvnNb3LDDTccdfutt97Kl7/8ZbKyspTZQVKcf38HyueNP6LhC1MY2u9koT+C42Inz3ge5DH9apYNzKfdYOKU3dfjL2un+CN+fn7nJmYW2PjFwjKCj0dwXqRje7iIV56YjssRo7PARtgVIvf0V5n/xVb0XWncDg0ji5yMnGYnMsNGyqlCowYDGpwqE2WqbPJxoUqYGE4kaI8FcPerFMGeXjNJEQ4/qIEkaM0JVJYEcXMCb1EQs1tLZQ8MN6sJm0NMtq3jkilJPGoLTwcnk1DHKZnXS97eKBVv+jGt0rA9p4ffd67jlPYLuMZxNcVXWLl38zbueGotZpOKqrCHKSMriUYMJEmg0iYos2kpVYcYaFlDsLWNFitsyBkirdazIj2PaQ0l/H368+yINGKKqbnEPpMrTrmZwoqpR3z2qUSCNz/+Qxznwoa1p5DqjrC0RkOrfS+55wwwb8b32HZvlPU/7iKkClJetJ7J357OtLNOJdH4BoltT2O46AeoDFaCgX4+eddMlutzmcIDbHs+zCfunInJ8d4/0FG/D3fzfoxOJ46KatKBXsJrfobK6MK0+Juo9JZ33Tfi3YG/+yH01jrsJVehUh/5XgPdz9L51mfosRopX/a/THes5HgRiXVxoOe7IgQA1UU/xaArPG7HIpGc7ETjCV7d16SI8vv7Bsm1Wzl3+mTOmV6veNNIJBKJRCKRSCSSDzfeUPhwwX5wmPZh8bwv4wlY4LQrIn1VrvC0z6YmL4cCh21CT+CVSCQSiUQikXy46Zpo4vxVV11FT08Pb7zxxrv2+e///m+++MUvKhfiUpx/fwfKucVXMHvmp6gtDFEyokN9YZpv+3+KZUCLBzPnNH6BqCWXqhU7eN7XydsbPPzvlVUUr06jrk2hzzPx580riO02kLUyzN62XCyfWMui/92G0RMh16PBFtAQSaWJBGMkAyqiDjPDK3IYWGVnYIqGhClJSpVEhxoLRgpxUqxy4Uw7iSRUdCVCdI3ECPUYiPcYSPeaSYwIQThFaIqHtDFJebOWaEuKYDKFIW8dn5kUwmLUscZTxE59GRW5nThzA9Tc68a5VENHqYf/6n+Dmp45fMp3EzVX57IvPcAP732Wvn4f5a4whckwpdWn0twxiL3PSOFQAQUhG06DCneyib6+t2nVNrLP4cOEk1ODi8htgOeXvUmzuwvDSJrT7DO58vybmVQ947DPv/f1jTQ+ejcsmcLrf5nLGVNaMFVX4m54kOK8U6ltOJ8/r2oi1R4imd/FpPI2Vt39GdSqCNHHf4R25vlo65Yrr3XHc5/lxcYH+O2c3/LIb6cy+8ICllyXOQm8FxGPG8+BZkw5udhLy0n7uwmv/Tlqcy7GRd9ApXv3cNJRfyO+zvvRmUuxl16DWnNk/rhg/3pa3riOdmMMzYJvc1bejahHowl80MTig7T0fodk0ofTuhyndSkW49SD0Q0kEsmxRYS1fGrbbl7Y3UgoGmNuRSkXzJrKgqoyNDKUpUQikUgkEolEclKTSCbpGPHQ3J8R68e87EWOe4FJr8uExBfh8LOc5Nmt5Nut5NmsSj57KdxLJBKJRCKRSI4nE06cf+qpp7j33nv505/+pHjHvxt//vOf+etf/8prr712LA7jpB0onz79p5TY57DQnUBziYEngvfxMttZ2DsXr66QeS2X4K9uJu+iAL+8YyvLq5x8d2oR4RejOM/VsTZQwdon6skriNBkzSJePkLp9NfJeryTZ06DmM6AzZukYDBOdSc0tKjJ71ejiaoJJpIQTmO0uQguK6LnAie99WmG1H5iqrhynNq0hixsFOEiO+1ElzLgT6Vod0fofCobBvSkKwP4i0IUtRnQ7k0Q8GmJ1m7iY3mD1Lt0dLiNvKydhlkdJH+Rh4o7+yioBXdNhF9530A7lM/nDnyFhnNKUU9P85PHnueN9a2oSJNlSdJQYKdwyXRe7FmNoStEQ0cVsxqnYPXaCCWDDEf3027YTaujFYNJy6nJ5SRWuFlXsY62fZ2ke6JMTZZyfuVZzJmyCGt9CYbSbNZ/8WfYz4vw8gOrMKNhsU3LyCkbSVg6WDD3e7RvVvHCza2okhFyizay6FMLqbpmNrHVd5P2D6A/62vKDehQoIdP3TWDq/QV5GseYcezg9x4x4x/6D0vCA0P4mtvxZJfiK24lKSnjci6/4faVoxx4ddQaY8U3ceIBVvxddyNxpCLo+zjqLXmI/sM7aLtjWtp0o7QO+sqri7+DmbNv5bP7v0ikfTQ7/4b3sAaYokhJdS907oYh2UJVtO0o4bol0gk/94DttVNrTy1bQ/bOrqVh2ZnTavngplTKHTaj/fhSSQSiUQikUgkkhMY8RhyJBiieVSoPzDqbd/j8Sn3GmOI8PhjQn2+3aZE5yqw20YFfBu5Ngtajbzfl0gkEolEIpEcOyacOC85vgPlS8ufZHZ5hJKEDd+yIX6W+gO5PRYGjWYu3PZlhvMs1J2yh7+3tbB3d4g7r6rC9WIK3ew0aZeJv6xZSfKADvuKCPvbcrB+9g0W3rqbp1cEMTlmMy27lq74AL3xAdyaYWKpMOpIFOdQkuK+BPUtKqrb1ThGNMSSKmJJNU6rC8v8cno/kkdbVYwelRtPOkSMJKq0Gk1KhyttxRrJof3ZPOJNFowlQYYrAlg9WlxbUgR69SSmNDJP18yqKh1JD7yVqqJdlUPVHB/5bxygQhsnNinFH5Pr6HKn+MyurzJtZg1F59tY3XmAV7bvY9ueLnp6A+KukJrSHBw1Rewx7cSv3ckkTz7n7V5G/uYCRtxpgskIfn2QPksbhpw0k7Lz6D9vHy000behB/+Qh8KQk5XeWhZVzCf7gpm0vHIHofLZrL5nKmecGqOw1kBn0b0kd8xn+Sc+wm0faSWxzU/SOcjUok6W33MVmkgb8TduQ7/qy6izM8b+qyc/wr6WF/nl8gd58BfZGCxaVn25krIZjn84FoIDffi7OrAWl2LNLyTpbiGy7peoHRUYF34Vlebd873Fw9142+9ErbXgKL8Bje7I90u4G+l541M00sWWqUu5tvRHFBoqOF6IU1kouh9vYDWe4GrFq16rseOwLMJpFUL9dFQqLScSkUjkYHSRFStWYDS++6QJieR4M+Dz89T2PTy3Yx/uYIgpxQVcMGsKKyZVo9N++B+KSXuVSCYO0l4lkomDtFeJZGLwQdiquKf3hiP0+/z0e/30+wIM+gPK+oBPlAEldP4YwqneZTErQr0Q8PMcQsi3KaHyM4K+FavRIL3vJScd8rdVIpk4SHuVSE5ecf6YKVVf+MIXuPbaa5k7d+6xegvJe6A3+shuNsGNOp7xP0MoHMERqifXNwW1yoUlpxFvfowdz3o5b1oO+X4NMXUKc7aOF0ZqiB3QUVAZZG9nLqqZPeS39dLjCuOzmfjcgRJKIxZ0pbOJ5VvpjcTYExqg2zDAgHOI3qoBGhf7SMTDGHxxsvpilHemmNwcpXTDIOY3NFSotdRYHRRPqyB9VRmNdXEOaIboT/sY0oxQdLEfz5vl+N52kpsEb3mI7mVpijfGCe6qZ3udna4dm7l0jp7TRpppCfezZutUItVTCSVbmLTdyxcalvBg9nZumfWffHz355nZO5XFH61k5SU1hC+I81bLPp7fsIOmdi8tr+8ElQ5r7ik05Q/y2wWPU3qmgYtjC5n+aiUHXh1CNWQlHcxnsFuLpWUFi6uXMLi4keFJBxja3cEjBfvY0NPBDzqr0USKKChuwp5fSXOnEZtZg6uhnt6snTQ9O49Tby7m7zeHsHhc9BkHab97JzVfmovK7CB54O2D4vyFi7/H6o4X2br1//HRW5/mxVvbeORb+5h1QT5Lry9FZ3x3QcySV0AqkSDQ3Ylao8WcU41xwVeJrP8VkQ23Ypz/xXcV6HWmYpyVn8Hbfjue1j/jFAK9IeewPlpXHUUr70D/1ucx7t7A/yRu5tKSbzDTupTjgbjhthjrlKUw+wbC0WZFpBdi/bDvBbQaK3bLQpyWpdjMM08IoV48fBAXYWN1ieREQ4zLDa0dipf8+pY2jDodZ0yZxPkzpyi5Ik8mpL1KJBMHaa8SycRB2qtEMjH4IGxV3NM7zSZlqSvIO2qfaDwxKtgHGPALET+gTCIW600DQ4qQP5bjXmDU6xShXnjZi3sZg1aLQadRSr2oa7UYdZm6KDPtmoN1w1g5tozuKz32JScy8rdVIpk4SHuVSE5ejpnnvFqtVi6s6+rqFJH+ox/96MHZBZJjP4vjp/N/xvSqOkJLRvhl+jbKOrLos9u4cPMX6CpXM/2UJu7bsZfutgT3fKQa05MJjMtUhG1m7np1OaoeDaalcVq6nNg/9xqLfrGXR84KM7t3JsVvVJGljlOgiZKrj5MuNqMts6MrdRDPszNo0nMg5Kc9OcCQegifbpj+dD/hRJhkOIylP0ZuX4LaVhUNB7S4hrSQ1BGz2rDVlND8WTPryoawp2wYd9TT80I2RmcYysIMWuIU79IS3aZDW+pBo13LOYs11IwkCXvUrLVMxqN2UjJpgLrXm7HWq3nF0sLD/j1c0X4t832LKFxpJ3+eA60xkw95676dPLV1PUNRDV39cQ50hPHGgOwwxvJuKieluLhiKYtb69j3+2d4u62ToL2EXE0dpfpa9Dk6IiVDhKJ9vBZ7nCtHillx7eV0HXiYgdQcdjxXwWkrzFgne/FVPE/X7+s4/VuX8eCPRoiscaMzBJiS38WC28/F4FtDYv9qDBf9EJU2I5x/8+GVJHv28ZMz70Vffzrbnuznrbs6sWbrOeurVRQ12N51PAjz9nW1Ex4cxFlZjdGVRXJoD5H1v0GTOwXDvJtRqd9dpE7GPXjbbieViuAsvxGtseCIPglfO563vkR7soNHarJZkn8152Rde9zy0B/tMwjHDmQ86gOricZ70WgsOMwLcFqXYTXPRK36x6kCjgWJRIL+/n6lnp+fj1Z7/CcMSCQCTyjMczv38fT2PfR5fFTlZSth609rqMVsePeoGx9mpL1KJBMHaa8SycRB2qtEMjGYKLYq7v/FvYwQ68c87oV4PxQIEokniCWSROJxookk0URCEfuVMpEgLlI0/pOoVSpFuB8T9U06HWaDDotej1mvx2rUY9LrsRjEuk4plW2jpbKubNMr+0vvfsnJaK8SiUTaq0QyEZhwYe2FOK+8wegFpihFaI7rrruOSy+9FIvFcize9qRnbKD82vlTyn5UyxP6B9k+1Eb1YD0loVPI888hMXU/2kUj/M/d+/jovHxucGYT35/AvljD3/tm0PRcEcV1AXbGCmBRO/W6NUR39bBhroXT7zyTFmMuOpOOWCRBOpnCpYlRkA5TEg9RoI1SYEmhLbWgKXOQyrcxkmWlUw0d8WEG1UP49cO4dYMMJUcIh4LgjuAciFPcnWZyi5bqJiPJy6bz7HVhxOgp6mjgwGNFaNUpbDUeui0pbB0aNGu1aJ0RyF7DkjkppoRTmHqjtFmL2Ziuo7QBqtauI7cMttp7+XNoEysjqzhl19lo9GpMC9PkLbKRZ8kmFYcnX3yGVze8SfmMKUR1Wazf42Fvi49I0o8+z0NBdYyL587gEtdimn78MH/f/hoHHGqKNVOZX7Qcq7mY4WEf+3Lv4Ku6MwgXudFO8/LC/55GXY2B8lwT6fNeYWhbjMgbC6i7ajEPfr2ZbHcMu2OQOWeaafjWFGJP/wzdoqvRVGSiTqzd9wC/fOVmfmhczIxrHkKlN+PuDvP8rw/Q1xhgzqWFLP5YCVq9+t1Dw7UdIOJx46quxWB3kBjYSfTt36IpmIlhzudQqd991ncqEVBC3CfjIzjKrkdnLj+iTzLQje/Nr9Cf7OXeagOlzoVcm/8fmDXvPnHguM1GjLUpIr03uJpIrBuN2oTdkhHqbaZZqNUnp/AokcQSCTa1dfHa3mbe2N+CChWn1FcrXvKTi/LlAyOJRCKRSCQSiUTyoUU8LxDivRDqhYCfEfIPifeHhPzDhX3RR/QPRWMEYzFC0bhSBqMxQqOl6PtuiNss86hQnxHwdVgNhoOivhD5hTe/XpPx6tdpNKPro6V2XLtm3PZxbWN95D2dRCKRSCQSyYdcnH/11Ve57777ePTRR/H7/Zk3G70INJvNXHzxxVxzzTWcfvrp8uLwGAyUj5mvYNEPp/MX/eNUtxQwlJ3NOVs+RfOkOHNWtnH72h34BjTce2UVmodjWFZpGLZYefC5ZWg9aVTzoX3AguOzr7L4Pxt58PwIy/bP48CaGVxk2878PDeDjmJ6tHn0Rq10evV0edXEEmnSybQi2BenwpSkwhRrYxQ50+jLraQK7fizLXQ5THQRUzzrvbphgoYR+lV9jPiGMbX6+MTdJiyWUl76n2y8xhAlvhK6Hqol5dWTNb2fQa2GmD+F/RUDanUSdc1GZtT4mGRRkbvbR8zqZL1hCqnsfKr711FuCtJud3NLYh1mvZP58XnM3rYcY9JEbK4X09IkOfZskkMpHr7/7+xvaeKU01ZSOWs6j2zuZs32QQZ6ukmlfVhyYyycWsIna+cTuuNZHtqxlr22IGVTKjl15AvsVr/JwlAfixeuwJe3hpb9c2jbUcHphWY0Z3YSrV9H47cbaDhrDus3mPGuHcIZS1Nb2M68W5Zjdj+GmJWgP/WzyneaTMW56d4ZVPnjfGHKzZhW3qzYTCqVZvNjvay5pwtnoVHxoi+YZD3quEinUrgPNBML+MiqqUdvtZLo20pk4+/QFs3HMPvTqN7D0z2VjODruFvJRe8ouwa9tfaIPslgH763voI/PsR9NWaS5mxuLPguRYZKTkTEqS8a71CEek9gDZFYx6hQPx+HZQl28xzUasPxPkyJ5JgiHiCta2lnTVMr6w+0Kw+NSrOdnD2tgbOm1uEwm473IUokEolEIpFIJBLJhCaZSin3XqHYkcL92CK2jbUdKuNKKSYKxJIZz/94MvkvefmPR6NRHybgi1JMCnCajThMJlwWk3IP6DAZcY2mGFDqFpPSTz6/lUgkEolEcrLRNdHE+TFEzozHH3+ce++9l5deekkJ1aG88egFXWFhoRLyXgj1U6dOPZaHclINlGx9Fqf+z2KaOnsoDFYzrf8S9OlatFObiEzt466/tvLJpUVcobaTHkhimaPlwfZ5dL2cTcl0H9u9RajOaGG6Zx3DPX3smepg8Z2rGDFo+Iz9UXJq6kj7EiT7hkl5g8p7x9EwnFNBr7mI3qST9oiJzpCBeEqlCPZZ6hiliRAlRCjVxSnKU6EtthLOs9HnNNFl1dNvcPO67mV8PW18+k49uV0O9vymht1TQ2QlrAT/Pp1gi42s6QMkdRp603GyXjGiCoBh1i5qsrspL9dRsH4Eq8lIm6OCvdoGyi1tNHgOELbGWa/u5OXYfoY1YWZY6lgwtJCy3gbi5XEiSwZRuVJEB2I0bt5PpC/KaXNPoaimkkdbR3h2Sy/dHXvx9/UrgndRno1zKyopf30zT/VuZMpFl5L3yhz2Tn2AT++pQHVqimRJhJduP50FK/NwbhpB/ZPX8W53cuB3uUz9zAoe/WMvJf0JLNoIM5cFmPaNHBJvP4jh/O+gsmZyOj/x5te5e9+D/JdqDiWLb8Iw5ayD3/lQW0jxoh9sDbHgyiIWXFWERnuk0C6Od6S5kUQkTFZtPTqTmUTPRiKb/wddyWL0Mz/xnjda6VQcX+f9xILN2IuvxOCYdkSfVHgI35tfJhJ382htDm06H1fnfYlZ1uWc6AhxXoj0wqM+HG1XhHm7eT5OqxDq50mhXvKhQYR5FGL86qZWNrd3KTkZawtyWTapiqU1FZTnZB3vQ5RIJBKJRCKRSCQSybsgHuUKwT8j2ieVKGhjdSHeK/VRIV/Z9o72sX3iyRThWEy5R3QHw3jDEaXuj0R459NiIexnRHuzFPMlEolEIpGcNHRNVHF+PAMDAzzwwAOKR/2WLVsOHcToxdqMGTOUsPdXXXUVeXl5H9RhfSgHyllXz6d3bpL65nJ8riJO3f5R9k4LsnBlN79/aTOqgIm7Lqsg/WAM27kauowOHn1yCcZogsg0Hb0BPa4bX2HhT5u478IYq7YsZM+2qZyv+iNW1Q70IqeW2YapvIr8sjps9gJUGgspX0wR7BM9wySHPKSMFgb0efRpc+nAyYGEhe6QgURSBUnIUWUE+zJ1lDJ9nLwCLW1Tzfxh8mZ63E1cez80bLMxdFERr33OhFmrIvV6A551hTgn+TBnh2hLqrCuMaDpVmOb20qBdR/lU3TkbgmQ5Y8QLyxks2oqxnwT9d1rsJnTpLUp+mMB3k60syXeTRIVc1yTmK6ZhUlvJ1YdI5gfIhqPkQolMUd05Otz0CRsvD6kZ90g9PVtxd2zH1836JNGSnVG9AWdXNx6FR2xfUzP6mBqNBf1uV1sf2kOHm89Z5YaiVRvI31GM43fnApRAz2uOoa3DVI6YqTQ1c6Cn07FEbgL7aRlaKefrXyvgaFd3PzMxdiw881ENXnn/QRt/qSD33sykWLjw72sf7Cb7HITZ321mtxK8xHjI5VIMNK0TymzJjWgNRhIdK0jsuXP6MpXoJ9+/XsL9Okk/u6/EfXuwFp0CSbX3CPfIzKC762vkoiO8HpDA6vTuzjVdQnnZl2HRvXu4fNPJCKxLrzBtXgCbxGOtqLTush3XU22/QxUqvcv9084HObFF19U6qtWrcJkkl7KkmODyLP41v5W3tp/gF3dvUrb1OLCjCBfW0m+48RKQXEiIu1V8n4gLrvFkhIPVJNpxJ+IhJNMZdpS7yjTyrbUUbeJUqDTatBq1Og0auWh6cF1rWjToFarTroHo9JeJZKJg7RXiWRiIG315EJcf/ojUdzBEJ5QBG84jDsUVoR7XziiCPmiLsR80R54FzFfCPZTiwtYXFPJgqoyrEbp9PBBIO1VIpk4SHuVSE58PhTi/Hj27t3LPffco4j14h9SDmb0waFGo1FORtdeey0XXnghBoO8ePtXB8q5t59B74ERXMkKlrReR9hSgG1aC4NFHfztyR6+cloJZwXMqGNpDNM03LVnESNrHBTP9rF9uBjNhXuZ0/Q2reFBOmpymHnn6cRMUWq6f8irrXkks7JxuMLk2v3U6P2UquLYdUaszixc1fVYK2vRlZSjNjtJ+6IkeoeJC8F+2E8ilGQo7aAzaWV/0sqBmJmBkJFEQo02nmZG0sfZy5L8Znkzu4J7OPvxKKe/ZiPkMvL8LUXoSvWkdxYx8mw1lvw4zqpBBqNm4jtVGPbqcUztw2nfStVMNVn9GkxrD5BTV8QBUzU9WbOoaYhjCe4lPTCAORYhkYwwEPOxJdBN69AwWcNm5pqrKCgpwjAth+GCKPv7u8GowuV0UW4vRRXJYk2bga1DCaLsYmBwPX2NMRKdTs6ebWH6U6exZ+XjXLfGguaMMCGrmjf+dharrq1B8/Q+tD96HY1vBus+G8Y+o4Z1+1WU9yexRlRMm9fLzC9FYaAR/QXfVcLNCzNt2fj/+OHu28iLafmGdRm5l/watclx2Pff3xzkhV+3MNIdYdFHi5l3WRFqzeEP5JPxOCP79wqJQBHoNTo98Y63iG67HW3xAgyzPolK/e4CtDiWQN+TREbWY8k/B3POsiP6pKJefKu/TirUx94ZZ/Fo/DkmmWZyXf43MWksTCSEUN/vfhC3/w0M+iIKs67DYVn8vggd8gJMcixpHxphdXObIsg39Q0qD0fmlJcoYvyS2krFq0HyzyPt9cOPiCIRiY3mDY3GCYsJi7F4pk0s0biyLSzKaIJwLE40Nrqu7DPaLyb2zewntieSKdKjDzmPx1W3+LnSqg+J9lqtelTM1yhtiqAv2keFfSHqazWZvka9FrMxk/vUZNRlSoMOs1GHxajP1MdtE/ufCBMBTlR7FSFoR/xh3L7QodIXxu0PM+IPZUpfSJlQUZhtpzDbRkGWjcIcOwVZVqXNZpb3RZIPFyeqvUokksORtir5v4j5Q/4gm9o6ae4fQqNWM720UBHql9RUyAnixxBprxLJxEHaq0Ry4vOhE+fH8/rrryth70V+ep/Plzmw0Qd7drudK664Qgl7v3Tp0uN8pBNnoEz7r1lMbqoi6ahj/r7z2TnLw9Llfdzy9GZsCRt/ubCc5ENRbOdr2a/N5pnH5mPTxBipMjME5F79CnP+Xwv3XpTggreWsK2pnrM0v2P9ui6aKUdrdxB3+0gLz3LSaAxgdqRwOWKU2cNMFXnijWrsBiOO/CJMFdXoyirQl1eiLS0jHUsRb+sj0T5EYjhAMhhjwK9me8TMU12FFIRiXFXn4+mrB3guvIPJb/i49lEH6YCKtz6fTeiKAlS9NgYerUOr0+Cq74eEid5WFeZNRpxVHix5G6idnsCqMaG6ZzcV9dkk8otwq/PRW+yUFdux5IJbPYI/PETCPUwsHGAkGqBpZIDAgSjFe+w0hHJQV+nx5Sdo1blJ1NgoXFyDyWpmxG9ga1s2nR4tcfXbvP3ENnL1Tm7oWs5ArJ+pK4aoWj2E4aMB1j84H5VrJmfU6hixvYLlwhCeR1aw5Y976K+bhKcvxOQ2Jw5LL0v/w0i24Wl0Kz+FprBe+W6Fqe7ffSc/evvHlIRSfKPsY2Sd/5+o1Id7oyfjKdbe182mR3rIr7UoXvRZpYf/sCdjUYYb96LWapUQ96JM9GwguvlPaHKnYJh3MyqN/l3HmTiW0MCLhIZex5xzCua8M454GJ+K+fGv+QZJfwcjcz7OHbG/YdM4+UTh98nVFTHRCEVb6B2+C39oK2ZjLUXZH8dqmv5vvWYymcTr9Sp1h8OhTEySSP6vKOeI/kHFQ3510wE6hz0YdFoWVpWzdFKlUpoN727XkvdG2uuxR5n8FY7hCYTxBiKKeOkNhPGHosQTKUXkFg/+FC9zUSbTJJJJZV20Z7Znto3VheA+tn18/eBrJdOKYCrEdBHW8x+hUasUQVqI1soi6iKakCgNWkx6HQb96LpOq9SFyC3EVrVKdbAUDydFXXlNsf2wbZm6+NNoMm2qcfuJn1u1SnjJqxSxX3wG4v9JjH5GIlSpKMX/Jf7n+Ghd6TPaV3yeok1sU/qM7aPkMM20idcREwzCkXgmR2okrkxIeK87B/G/msYEfaPuHeL9aJteh9mU+XzEJADxv2b+Z/XBuvg/x8p3264+Wr/Rz5J0imAgoLRlZznR63THbNLA2LgVwrrbnxHbhdCuiO4HRfjMNn84dti+4lidNiMum5lsu0kps+wm5bvoG/HTM+Snb9hHMBI/uI/VpKcg26YI90KsF+J9UU5GxM91WpTPSSKZSMjfV4lkYiBtVfLvRnJb29zO2uZWtnX2KNea1Xk5LKopVyaP1+TlnBATPD8sSHuVSCYO0l4lkhOfD7U4/4/y0wvEg6bx65L3HihzvzYXi7GcM/Z8isFcO86GZrqcbTz70jDfPauUpT0GdGZQT9Jy+7blBDeaKJznY/tAMdord7Bw3Ua2W4bxFxZRdfcpaC0+8lt/zmuN2Ry49AxUy6rQxdPoe/xY24cxdrtJ9biJDblJRKOk0ik0ujRWW5p8R4xaW4Kppgj5Fi1OiwlTcRGG8kp05ZUZwb6ohHQwTrxziJYXGvldaylJt5rLsgdp+3yAh9LbMW4b4vN3WbH1a9kxU0XnD+qxWR20PlRB0mfGNW0Iu0pDa7cWwzojztww9potVNZ60DuMmB7uRe8bQFeWi66gFKPRikOfwmXRYjVolNCyUXWUkD6GXxUknooRjccZ9oVJdqvJ3m/A2JdWZrSF0wmS5Ubss4pJ1FjZnWdk9YiNtS13kXg9n1mTNJz1wvnsPfUFPt7pIjG9iUG3hc1rLuDSr9cRfmgDfPENyisuZ81XBmjaGeSAtoAKbwr7sIFJ9a3Mv6kZbW4RuiXXHvYd7z7wFD9+9XPUBBJ8fdY3ca74wlHHQs8+Py/8+gD+wRhLrith1oUFB4UAQSIcZrhpL1qDEVdNHWqNhsTALqIbf4faUY5xwZdQ6d7byz009CbB/ucwZi3EWnDBETdT6XgI39pvkvQ0E597M39J/p1g0sfH879FrXkGExF/aDu9I3cRijRhN8+mMPt6TIaq431YkpMUIULu7O5TvONFDvlBX0AJFTjmHS885YVAL5EcL4QY7PZHFLFdiJNKGQjjCYi2TOkR4uWoIC/E83eKvXaLQfHyFmK0EGEzYvchUVYpRz2/x0TcsfpYf6WfELrH7TfWR3h7C6E9I7CPie0ZYV20CRsSpWgTYvLJjLhtEIJ9SEQWiMQJRmJKpAAhHo+J+GKigxDyRZ9QRKwnlFLZJzq6z2jkgQ/yLkRcomiOMm7GxsZhY2X8toP1wydVZCaQhBTh/Z0TO8QEhSy7GZfNhGtUdB8vvo+VdrPhnxLTxQSV3mEffSMBeodE6ad3WCw+Bj3Bg5+jOP48l+WQ1/2o532R4nlvU8axRCKRSCQSyfEkGI2yobWTtU1trD/Qrlw/5tgsLK6pUO5hZ5YWnfTX3BKJRCKRSE4cTgpxfjy7d+/mIx/5CHv27FEeBArRT8wkkvxzA+W8a88j27GM+vYl7JrjZcHiHn73+FaK9C7+cE4pyb/FsZ2nZpuqgFf+NptsW4iefCduW4zC819j6q0tPHBBiotfXM7mnhpO1fyaDW8OsMdSjeaLK5im09Cbo2dYqyGu0hARjkAJFcl4GsNgAF3LMMbOYdQ9IyQG3SQjMVLJFHodOIwpiu0p6uxxJpvDZJl1mKwGbNXlGCurME6bw8ib3fxpXx4HBq2cqRsg+WkfjxXsYaSxn8/cbqSy3cQBfZjGL5RScnYD255wETrgxDHLg0uVZHDQSGydHocxQfbsPZQUdqHJ0VLrLSW4uo3mt9YylNbjm7ocdWU92bYoDcUR5k/Kx6EyQCxKNOphKNRNJOZFo06BeO4aUaELadEF08Q8YVT+NIRUEFczZDbzw8kDNLa0oWsv4ob+eUSTcRo+E6H8iR1ozvDx+h0ryJu9gFMmQ3f8YRyrLBRrr+WRK59jh9VOMKxm1t5sjNoRTv1cGznFezFc9ANUButh3/POrjf4z2c/xuRggq8u/ym2OTccdTzEo0nW3N3F1if6KJps48yvVOEsNB7cHgsGcDc3orNYcVXVolKrSY40E3n7N6hMWRgXfg210fmeYy7s3kig5+8YHNOxFV+O6h155dOJCP713yc+sAnN5Gt40NZMU2Qnl+XcxGLH2UxExDnJG1xD78g9xOI9OK0rKMi6BoOu4HgfmuQkQHi4bm7vUrzj1zS1KTn/sq0Wlk2qZGltlRIqUAhIEsmxFGQVAXbcuhAPhce78B7OCPFhvMGI4lH8TixGHU6rCafNhMMivIZNOK1GZV1pF3Vlu1EJnS69aD7cY0tEMEgpEQ1E1IPRKAeiLrYlx7aNRUUYqx/aZ+w1RBSEsX5j2xPv2H98BIXMtndGUxiLtjD+9cbvm9kuJnSKsXtIgM+I7Vm2zPoHKYKLCTD9QrQf9o9622fE+z5FvPcrtjuGw2pURHphg0b9oQgQykSU0agP49sORog4Sl+97v+ewkB87kr0htFIDUoUB2UZaxu3PhrhIR7PRHcQURjEpAa7xaiE+HdYDOjlJDSJRCKRSCYk4jpmR1cva5vbDk42F9cZIj+9zFMvkUgkEonkROCkEOej0ShPPvmk4jn/wgsvHPSUl+L8vz5Qln/3Ss7e+Wnayw3k17awT7Wf1euD/OS8cmY3ajEUQKJKy+3rTiG2U0/+fD87+ovQX7eZpU9uYXWpG62jjKz7V2C3DWJr/DVrDmTRePkqfqLJZdpwgnQgxmAqTLM1Tl+xAU+lBW+hhX6TDq9KTTQBsVgaYipSg34MHSOoDgyg7h5CNeglFUugSqQwalRkG9KUGOM02KJMzU0y6ZNXk45l88grcV4bKWFmykv+Bb08vbCVrq4+Lr0XFu10MhgOsGuemdLvL2XXDge9G12YGrw40ilUcT2D6wzY4mmKl7aS62xCl5/CUZVDqaWErAEDvU+uZefbzbS7ZhAqmow6HiQruY/6Spg8Yy7Vk6ejMxrwh9283fYSI30HyEWLOa1HFzeRVmkJht1kh7S44nqagK/aXyb65jRcJPnYtgtoWvQGN9VOxad+hpa3HTR2Xsq1P5/E8EOvkrxsLXUNn2Jkk56//uEV2rpqqEyBo81AWXEjyz6zAf3Ci9HWLT/iu97cs4afP3kFsyIqvrTsO5hnfQKV+ugPg7t2+XjhNwcIuuMsv7GMGefmHXygGvX7cDfvx+Bw4CivUjzoU75uwut/iUqtx7jo66gtee857qLenfi6H0JvqcFe+tEjjiOdThHefTvhxgfQFS/nlfJs3gi+yHLH+VyY8wk07xD0JwrpdIJh30v0u+8nkfST4ziXfNcVaDXvPaFh/MNpcd4TGAz/nPec5OTEH46w/kCHEgZQeBkIT9Vil4Nlk6qUpa4gVwqYx5hjYa/iNQe9ISVstRDXhAilhO4eF+J8fOhzURsL5Z0JbX54PyX8+TvqY33F1V7Gw3k0PPmoB/OYl/M71zOez4dE+H8Uylx4t4vIOEJQF8K6EAEzovsh4X1MiBee6hLJsUT+vo6fTBhRBPuMgJ8phU1HRcqCaJxIPKHUhYgfEeuxxD+V4kFg0GkORpsYE+7F+SCThiJJLC6E9YzInkgklVQJoi4mXryfiPe2jQr2QqwXpbIobaPrhwn6RuVYJScG0l4lkomBtFXJB3HdcmBwmDXNbaxpapV56v8NpL1KJBMHaa8SyYnPh1qcf/PNNxVB/pFHHjmYc37ssJxOJ5dffjnXXXcdixcvPs5HOnEGyk2f/CPFg1PYN9fDzHmd/Pdju2hw5vCblcXEnk5gO1vN2kQpax+eRkG+nxZrDoGiAOXLXqfyjlYePkfFpY+vYKOnkiXaX7L1VTf7smqY+5ELOM1fTCg7hdoQJisaJncogM0ThUCcQDDEUDRAtzZKX5GeQK2TSKkdt9NAr05NKAnhaJpUNE26x0eiYxB1xzDqzmE0Q15UsSTFyQgfr/Yw7bxlOBaexlt37eev4RkURKNMntPK85d00uUdYtbfg1z2Zh7xcJwdpiiGm2eTKmtgw/MmVCUBLC5xfEa63jZj9KioWt6PKrYNgzmKo1aDrViH3WbGmjaiH4kzuMvD3qES+lPlpMMBLB1vY2zbRm55IVUzZlAzYza5DRXs8zWzds+rBL3dVBvsZKntpHRa+pwRSjab+ZtjK1siEQZWV3BJ2zQcGiM134tTt2YX0fwOXrrjXOrOm8fSmdDq/V+yZ1VQVX4Nq2/dwN/WDRL2GpnbmIU2EWLVjS+TO9+M/qyvHVV4W9/+Mr985mMsTpn5zNxPY57xCdSm7KOOjVg4yVt3dLD9mQHKZjpY9eVK7LmZGcgRrxtPawsavQFnZTU6k5lUcIDIuv8inYphWvh11Pb3PunEAvvxdtyHzlSMvew61JpDHvpjRLvfJLjpF6jNeeybcioPh/9GrWkG1+V/E7Pm8OgAE4lUKsKg90kG3H9T1nOdl5DrvAiN2vSe+4kUCS+++KJSX7VqFSbTe/eXnFz0enysaW5VvAh2dvYqYkZdYZ4S6k88mCjPdklB/gPk/2KvY7mox8JRC09WsfS7Mx6tA+7AYWHcx0T0DwLxXiIXuJIbXAnZLuqHrwuvdeGlKkohflnG5REf2yb6SrFdcqIhf1///QdEilgfGxXu4xkh/6CIL9rjh7YrIv9om/BuF2kodDoNOo1aOT/otGOlRhHv9ePqosysq9GKUnOov9JXeZ3R7Rq1kibBF4zgC0UzZTCqTEAQdRHBwztajrWLujimo00seKeIL4R77dj7a8Yf0+HHf/B/OqyPRjlWsX3suJW+o+3y9/rdkfYqkUwMpK1Kjkee+nUt7YpQP5anviovWwl/L/PUvzfSXiWSiYO0V4nk5BXnj5vLQGNjoyLI33///XR0dBwmyGu1WuVkJAT5Cy64QJk1JPnXqOitZ18D1OZ6eXN7O6mQiRvOzCH2RhzzHDU+k4ZNr9ajFWE/iyHUr8V8WiNT7hnkufkJpnqqaBoooc7ejGdnL8MJF95Vs1ncX8C2ZJJoCIp0NuIaJ72aNL7iCAlzmFx9jJpwmKX9cbTBBIntMYbWDjEQ9DGSCNOfrSYxOZdYpYtQrYPBmdn0JdOEYylC/hjx5gHaHtzALU06rn1kLXPaOlh+wzXk3rOGu9JzWL+5ljMHNbx0TZo9V+q4paCXzzxewMKoke0/30R4TjcXffJsnnnFij+gITKzn8IZaYb2mml6rYDqRYuI5fay57UhAi1e4vZ+XKdC5Xwn1acVsXg4QqBzM83uUnoKzyGydBVRcxPd3p10rNmG6rk0dlsec4trMFcuYlO0ldeb15OjhWnBfBK1UNY2hT2O56ipqOHZyDY+3r6Kt+/fzLKbLqJvz58otG9g75vVrLiqGuOjU3GXvk20eIiFn57NhvjttDwxA/+UCLZtZnY+W8Gyok3oRrpQZWdOAONZWH46X1j5G2599UsYdj7A9TEvpinXoM1uOKKv3qThtM9VUrMoixduOcA9n9nJyk+XM+WMHIwOFzn1UxSBfrhxD/aSckzZuRiXfofI+l8RXvMzjAu+giar5l3HnN46CWfFjXjb78LbdhuO8o+j1h4uuBuKl6OxlRNY/z0mbXqIz027gtujz3FL91f5RMH3ydMXMxFRq42Kx3y2/Uz63Q/T7/4rw76nyXddrbSpVNI7S/KPEb+BjX2DiiC/rrmd1sFhxVta5I3/whnLlIcQIny95MQiFk8w4A5mPFLdo6GlhQA/mhNaeKiOIYTswhw7+S4ri6eWH8wHLXJD57msB0VuMRZEKO7UuDITuvvw+li/w/or2zkY1nusnhHjx8T2TB51+TBLIpEcDeGtoUzUMeo50bCY9MpS+E/2F+dHMXlgvFgvhPzxIr4vFMETiNA16FPC5x8MrZ/MePyPhdv/dyZPadQq5bw7NhFKlGIRE5/GJkpl2jJ9xhbzO+ti338zrYBEIpFIJBOBPLuNC2dNVZbxeeof27yT+9ZuVvLUTy8pUibcaVRqxcte/N6K65ixumgXk+XGrx+sj+8nStWRbUVOO/l2m/zNlUgkEolE8r7zgXrODw0N8eCDDyqi/ObNm5W28W8/Y8YMRZC/+uqryct77zDakveexfGDS1/jwPwA02d18Lu/7WZuQR4/mZdP6vUU5tNUvBSsZtujdZSUedirKSRUN0LtlDfIe7SDJ1ZpuOyhU9gQKWWu9hfseNFLU2E9p1x0ERV9+dwR7EdjjmHRqMnS6ilWW3AmDeSktehREydFry6CxxBGrY9QkU5RF0pSGkngiCUIJiIMBLz0jozgSYTx61OophSQrM3GV2zjZX+A6B9XY2kb4YJcH6dN0lD+sY8wvH6Eu/eX0kERi+0dvHndbnzOKN6dPXz2wXwaPGa2J30MaFTkXH8m233FDIaiqE9rwbk3n8QBI4EmI6acOBXzAhRXB0gHY/jaAgx1eXG7AkTnRyiflcP0ESeWl3poG8iiK6sejUtPQXE3WZZ9aONh0sEEqpQKVVSFHjPtqQCbBlu5oLCM/d4C3ki8RrFWy9uvVjNlbxlT9IWUfM3LvHgPA007eOnBS1hw4xwWLdSwt+vXZBfNoHra5exp28gfvtVHcsTOnE4bKn+Csz56L/mXrkA377J3/d6fX/v/+NOWX3NezkyuzJ+CoeJMdBWrUKmOHgonGkzw+v92sPulQSrnOTnjC5VYs/WkUyl8Xe2EhwYxZuVgLy1HlYoQefu3pLwdGOZ9AW3e1Pccg4lIL572O1BrTDjKb0CjOzLEezoeIrDpZ8R61hCvPZ87HPsIpHx8PP9b1JpnMNGJxQfoG7kPd+BV9NoCCrKvxWlZdsQNnQxdJBEP/7d2dCve8UKUHwmElJx6i6rLFTF+bkWpIqhKji/iWqWj383uA71KSOhhf+RgjucRf+igYCMe4uRnWRXBXVmybeSPiu9i3WqS+dMlkg8C+fsqORYIj72xMP1HE+9FWyJxeB/htR8fDekvIguElZQhcSLRxKHUISK1yGhaAbFtLBLBeyFSl4wJ+eI6wWjQHh6FYNRjf8zrXztum/Dm12ozEQz0Oq3SR/H+H23L9D/k9T9Wjk0eEK/9fiLtVSKZGEhblZyIeer39w2SSKWUychi8nKmTJFUJjO/e7sYz//s03CH2URDYZ4SxW5yUT51+bnYTEdGijyRkPYqkUwcpL1KJCc+EzasvTi5PPHEE4ogL0J0jM8jLygsLFTEeCHKT5363qKf5J8fKFd++2Vm1A/waudmWvaruPXSckpfB9ssNcMleu575lQ0vWksM6M0DuVivmk1p/1uD48s9VETriPw5GJK7ftJbrmdnX1O2m68mG/5ZvHkkJ/W6Ah5OXpCViMJo5a0QYUqlcSQiFOqMVChNpGXMmKNaYnH0njjCVpTYboSYYaTEXJ0aapQUZ5IUUSKLHUCozqML+Cms2+AA8U63j6/hr4738a0o5d59jgfqfBReuZytMl8Hn5TwybdVKZqB9l19Sb8hTF8HUOc9ZiFs5scNGXHaOn2opk9meFpp9LujpM6ZT+miA7TRgeRNgfhER3prDiWBX4KpgTITSSw+5NKaP5oPIbbGSRUF8Zh01K4MUjwbTP99snoc5xMmqnDXtVKf/8eYl1utCMxdFFI2NR0qQaps5Xz21YjatsznNe/krvfDHPOwHySZW18+Vcr6V/7R976mQt/6Uf4/F9qaHvpUUIF25gx59uojQZueep/aPnZQhqmg+E5PcX5O1l6wxbsn/wlKu27i3R/f+Zz3N32CJfXXMiFBhsa1ySMkz+KSvfu4eIPvO3mpd+1koynWXZjKfUrs9EZNIRHhvF1tqHW6ZUw91q9lujG/yY5uBvDnM+gLZr/nuMwER3C2367UneU34jWkHNEH3EOiDQ+QGjP7ajyZvJoqYa9iX1cmnMTSxzn8GEgHG2ld+RufMFNmA1VFGZ/HJt51vE+LMkJmD++wGlXQtULQX5aSaEyS19yfHH7w2xr6mHr/m62NvUw5A0p7SJ/emG2XRHhx0T3MSE+x2GWN1ISiUQied9SC7xTyBdh/TOCfuzgtnAsU8YSYslMDFAmDSRTxEYjASiTBkYnCYjl34kIIDwQTXotxlHPf6N+1ONfr8Ogz0wYMI4rD9aFuH+wPbOP0l+fiSYgJ69JJBKJ5IMkE43s3UV98TvaMexmb+8A+3r72dc3QDASU/YtdjloEEJ9QUawr87Nlqm+JBKJRCL5kNI10cT5N95442Aeeb/fr7SNvZXInXHhhRdy7bXXKuHr5YPs93+gXP6jvzJtVh9/fnw/p1YV8s2GXNiUwrAMnhiZStMTZZRXD7M9WUZ0di9TClZjerWTl1YauOC+U9mSLmSy5mc0Pu+nqXIaF5xxIfZBF39qaqEmEaJQm8IbSRMXuR+1WlIWHQmrnphRS8ygQ2PRojfrqdZrqVUbKE4asMQ1JEkzqIrRlAjSHArT642ij4MpriInBcVaqE/6CPh2s/HaenY+twvzW60U6zV8umyA8hkVZE9bzKtPe3hWPY8iVYShC9+mq9ZHWY8K/Zt+rl+Tg6c0zZaBYTRpC8MrLqMraSM2twV13QC6JjPhXWZM+4pID5tQ2ZKYlkSILPChT4ZxemLkuhNk61QIXTuVBQFXlEQsTny3Dk9fEWazlTlTnFTPSDFgaKc11MLIa010hjpZllfBm9EqXul/jHOc+XS9VUrXbgunJBpwXNfB2dNDtPx1C688fTlnfnces5ak2N38S7JYQs3yC9iYepw7r9aS6rGzzJBFdH+IFefcTcmXrsVQt+Bdv/t0MsGDD13Gw96NXDfnZlbFg6jUegxTrkNjL3vX/cK+OK/9qZ19rw+jM2moXeSi/pRsiuoN+DpaSEQj2EvKMLpcxLb9hUT32xhmXIeu/JT3HIvJuBdv+x2kEkGc5TegNRUdtV+sfyOBDf8JOgvr6qbwUnI9yxzncVHOJ9GoPhw3N4HwLnqH7yQYacRmnqmI9GZD9fE+LMlxyB8vwtXv6Ow5mD9eiPFClK/IyZIPpY8zYpLEzpY+RYgXonxrr1tpryx0MbO2iNmTiplckXdChnmWSCQSieTfESbGRwM4FNpfiPsJxftf8fqPJojGMpMBwu+YGDDWltmeiQIg2pR1ZeJA8h9GArBZDNjNBqwmA/bRus1izJSji9JuMWbqZoPi+S+RSCQSyQf1m9nt9rKnp5/GvgFFtG8eGFIi64h0dDV5OYqHfX1hvlIKAV/e40skEolEMvHpmmjivBDcxUXI2MuL+tKlSxVB/oorrsBmsx2Ltz3pGRso3/j971k90Eh/h5H/ubycnOdTOBZp6Cky8tBjp2DwJtBMSdPicWL57Jus+n97ufeMAHMHJtPz8iIqHVuJrH+Q/cMOej99JV8cnsr9vcN0dvcxdVUOs1YUUBKOYu70oWrz4u4O0RNI0xNT05/U4EdNIJUmoVaRMGhImfQYrQaKzWZqLVZqtUYcGg1qPYzYYrQZ/TSm/Qz3xkjtVLNUE6fGvZu3z85jdfcA+if3YElp+VTZMA3FOgpOW8W+l9w8FF+AVm1AtWwjuxf0saLPhX/3EOc+bcOSDW85/aj2RPBOPZ327CnEJ/WTPn0vaUsUYpDqNqF/pQx25KCJq8mfkqLgDA2tDi9dfR4MQyHyR6IUmlUUFhswuLSkUeEP6fB4bAT8GrSeAbK6m9H2DeNWtaC/xEKptZRfdUcwBdfy+fzz+P3Dw5QOVFLqSHLdb8uI7HqcZ2/OIT3lfL744BRa1t+PP9bEjDnfYjiriwdefZYD31pETUMUy5s2inL2MfPCnRT+x4/R6N5dsE4FR7jzwYt4Ot3FJ5f+iFNCw6QC3ehrL0ZbuOg9bww8vRH2vTbM3teHcHdFMDl0TFrmorQ+hs3hwZSVg620nMSeB4i3vYK+4Qr0tee+53gUwry3/U6SsWHspVcpeemPRjLYi3/990n5O2mrX8F9unXUmqZzXf43MGs+HOcKcS70BdcrnvSRWBcu23JyHVcTCZmV7Q6HA837HCZUcny/7/39g6xpalPC7Y3PH79IeMhXVyg58iTHD/EQpalriK37exRBfm/7gCJAZNvNzJ5UxKxJxYoo77KZRvsn8Xq9Sl3aq0RyYiPtVSI58X5zRSSA8YJ9ZFTQD4Sj9A+5CYRjJNJqpfSHovhDMXzBSKYejh7Vw1/kGc4I9caMuG8xYDONCfkZYd9pMynRbvKcVsVTXyKR/N+Qv60SyZGIiW0tg8OHBPuefkXAF1iMeuoLDon1wtPeac7cWx5rpL1KJBMHaa8SyYnPhBTnBdXV1Yogf80111BRUXEs3kpylIHy5Xt+xEOvDnDB5CI+X5yFtgU089M81DWb7hcKKJ80xJZwBfHlHczWrCG+rZu1i6ycec+p7NRmU6n6Oa3PBWlqmMVViy8kPmzirv2t2Mwpsi6rQCvC2ZMilUySSiQxq1KUpRJUxKIUuYOYhyKoQyl8OiPdKgPtwTQHBqP4giIsY0ro4hjNerIsFkWwrzRZybMasTl17LV5eWvzELWRFOfFOthYEeblQjWJB7ahDaq5tDjGilw3eYsX4mtScf/ILEY0eTin7GDzmc0s9OZQ1Zig4NkE5fEUb81PEV0/TEI/iZaKVcR1GgyVwwRndBIpCpLWJ1CH02g25ZBanwdBDeZCH9biAeLWEIMaPX70JPxJ8vqDlOjjlJRryCp2otXaSKeMBBM6EoYE/uFGBrtfYnlDDc/Eq9jQcz/npRvQjJTywuowp4ZmYF/ZwiUXBdjzm2Zef+1iLr91IfVLIuzZ/RucPadRdelpPM+tPHfVdJJtBs6oySaw3sOMuc9iu+I8chZMwVZoe1ehPd69k9ueup6XjRFuXvFfLI6HifesQZs/F8Oky1Bp3tvrU5wSBlpC7Ht9SPGmD47EsbqgdHKcmgVmyhfVQecLxPY/ga7mHEWkfy/RP5WM4Ot8gHiwCaNrHpb8c1BrjszPlU5ECW79NdGOl/CXL+Q2VwtmnZNPFvyAPH0xHxbS6SQj/pfpG7mfWHyE/q5SYoElnHH6pUpUEcnEpmvEwzM79vLKniaGA0Elf/zC0fzx82T++OOKOLf1DPkUIV4I8tubewhG4pgNOqZVFyie8bMmFVGSe3QPh3A4rKTnEYioP9JeJZITF2mvEsmHy17Fb/iYaD8m2PuCUXyhUfF+dF0pR/sEQlHFi388YsJdvsuqiPX5o2lpxtZznRbpiS+RvAfyt1Ui+efT2DX2D2YE+96Mh703FFa25TtsimAvhHrhaS/uRY1aLQadFqNOh16jwajT/tsRZqW9SiQTB2mvEsnJK84fs7vPT33qU4oov3jx4mP1FpL34PXdPTjULq6a7iT+RBzzSg0tRgu9m/Kx2yP0m50ktHFcc/dT89MRbjs/zSl7K9gRz6Hasp7gmx4iWgfW0+aTN2Djtv4+9JEoOfPzUPdG0eoTJPRqDEYtUaOOuFZNmyZNlzVN2OwgkRMnFQxjDUUoi0SpsKVYXAIOux211YJfZ2B/b4TGZi8tnR62BROkEmqMGh3T8nK4ZHYJz/X1cmd/OR/td+PqOcBLn1zA4L2b+Vu3ltZ4KVe9sZ6cugo+bUnxcEctjXtmMMdj4+1LttA7O4dLtXY61vtZ+VaUbUsL6fb0MH/n7fToJ9HdUof+lWKy1V0kJscYnuEgVJ1EU9+LYZeFyCYHoU4n+ooAecuGKGmIEk4Z8Axb2OZNs0kcb7sfk62PohqojBVQFM6hMLsO/6bttFWMcIrFyFZbDTvamjh3cT0ljTG29h1g6dslDJ8zQOUVVra+sIfXb7Ez68xF2My1eFQbibYtobCijtpPd9D0rRns6Wun0FhA6/75TH/xHrr2nY591UJyJ+VgsBmO+O51xdO4YeH3iK37Ib9f9wMMy/+LeQ1XE2t8hHCgG+PU61Gbct917AhRKr/GoizLbiija6dPEen3vznEjpc8uIo2MOWMydRPNUPzgxALoJ9+PSr10Wf2CSHeUf5xIu63CfQ/RyzQhK3oUvTWmsPfV2vAMvdbaFz1sPN/uNlfwf2lcX7b/RWuz/8mdR+SXO0qlYZs+5m4rCvpGXyMYeOf0Jp20OceoVh3NXptzvE+RMn/Ybb8W00HeGb7XrZ1dCuC/OmTa1laW8W0kgK0ctbrccMTEHnje5Uw9Vv2dzPoCaJRq6gvz+OSFVMVz/i60lwlqoFEIpFIJJITE3F/MhbavijH/i9do434wwyM+OkfCdDvDtA3WhcRc8R1wXhXhSy7EO9tilivCPdCxFfEext5Lou8ppNIJBLJP8RmMjK3olRZxiaY9fv87BNCfY/IXT/IHas3KKlj3g1xfypEeoMQ7rUZ4d6g1SgifmZ9/DatMrlsvLivSqVo9wUpsWYiNUokxxuRRkmkMZKpHiQSieQD8JyXHN9ZHIXXfp6rZ5dwvc2OYVhFamaa+/YvYvgNJ2V1g2wNVZFYdYCFnnUMt/eyc46DpXeeSpPZTl7i5/S+EKZp5lxumHkRPSNqHtnfhjNLRdWSQlbmmSjSpoiEE/QGErSnVHRotQS0GsIaNWqtCrVGhUGnQq9VYdKmSYYjeNwhYt4Q6UAEC2nKDGrKc82UFttx5jkgpmLvjkEefKiTEouLVTMrWK8ZprMpwGX66P9n7z3g5Cjv+//39t73bq/3k069N9QQAtFMs7Fx7+2X5pLEiZN/muMkrrHjuMTYGGyMDRhsqsF0UdS7dJJOut7b7m2vM7v/1zN7dzqBMMUIJDHvez2v55lnZudmduaZmZ3Pt+AIHeeRzS6OP3IEXW+CMpeXz5b3Uuk34CmfzdMnAjxrWoHLOc7xG5/D7PVyY6udmsM5SndF6Z5dYPc1Xpqq66h3VhDpKGf3LkikC5ibx+m39RIcs6B3aNFWpCn0GynstqMZNmC3y1TNzuFcHSNRFaM3n2I8qiOWNZDPAVISmyHHjVIdCUeSzid/ysXLZ/FQoYR9fb/lIx3LGFvVwuM/GWJldjbN80e47EN9HPyPKC9su5QPfHsBDVdlaTv0E+w7L8f9FzVs5262fmQ9coeWNaUaUofNeOwj1DTsw+g1Ybz0cvzLK/DWedDqTxeWxLBOPP5Nfth9J3s8dr607ussddSSbr2NQi6OqeX96P3zX9O5JefydO6a4OADnXTuigg1neoWicayp5i1sRzXus+i0Rn++DqyIWKD95JLdGL2rMIWuOKMXvS58UPEdv4rMgX+0FjGPkM/7/R/lnWuPx5G/3xEzicZjzzIWPh3yPkUPucWSt3vwWh4eQMKlXODnvEQvz90jD+0nlCs4xdUlXP1orlsmNWg/GhWefMRoXJbu0YUIV4I8h2DIaW/ptSteMWLsqChTM0br6KioqKiooIky4yHk4xMTIr3ioB/Ssgfj5wS78W7ZJH6Rgj1QrCfFu8nhXy/y6Ya+6moqKiovOr7z3AkRiqXIyvJpHMSGUkincspdSYn+nJk5eK8rNInnbac8rnJ/mJfsc7kctP3LiHaz6sIsLC6gsXVFcwpD2DQq4ZmKq8d8Z5ZnHPxTIZYuljiU3Umq/THZ/TN7Bdtkc5IRJKcFSihKeBX6uaAn2qvWxXsVVRUznnOu7D2bxR33HGH4oH/yU9+kh//+Mdv9eacNyfKgk/+PTe/pwbLbyWcl+o56nPw8O3r8RoThMtsDBr0+D/0DJv+4yQ/viHDVQcXc/DgMuq9TxF/4lFG0k5yn/kk7xqp5X+7+8kGw9RvCrCs0YMHM3JBi9WUx66TcSLjz+XQpTNM5AoMWI30mo2clLWMZvJk5AJSAUxG8RkNVoMWFxKGRJJEKM7wREq5waPXYbEZWOC2seu+IQopE9fNbyJUIvNU2zBrkdgY6+YPc3O80NaD5tgERrOfT1WHmG8N4amfxYkuH/cZNqIz5Ri49hnkGhPzBqxcecRI1fNhkoYcB7e4OXKZk4LDSA0+tIerGd3jQsoVyMw/TKv1EMlds6jWVeGqKRDXpEkeM5LvM2IyQXWJjvkmJ46GHKnaMQ5IQ7TLacJWI0sTARZbsxwLvUCVdgCno4Tvxg8xf0+eS+dtYPs+JzsPDPIJ81IWfXYndsa565NNWANVfO7ZLbT3/4jYcxJNcz/M9hW3M/BUM0f+tYLSwiBNdbXEjuSx5yZwOkZxe/oxLp6P7/Jm/C0l2Ettpz3QFLJJIvf9PT9I7Oawy8Y/rPs6C7xzyRy/E2n8MMaazRjqr1A8uV8rkcExDj94kq79MiMnM2iS/dQthPnv3ULDRQEMppdfp7jkTHnRa3VWHJU3YrQ1vmS5fCpIbOe/kJs4zqGGFh6wdbPWdRU3+D+NXqO/QEX6hxkL/1Zpex2XEvAIkT7wVm+aygzED9+tbR1K6Poj/UM4LWa2zJ/N1QvnUOPzvNWb97YU44Xn2+GOYQ51DHG8d0zJGy8835Y0V7CkuZLFsyqUl+kqKioqKioqKq9VPBmbSJzmcT8i6snpULQYplggIvOI0PjlPue0cF/mK4bOF7XTalJfPquoqKionHXEOzfxm7hrPMSBvgEO9Q1xsG+QZCarCPPzKspYVFPBIkWsL8Wov/Der50rx0F4i0v5vBLJJyfnycnydBH94l24Ml/0SWfomy555ZlE1C+WcV7p2eLFszVoXna+nC+QUET2U6J6UWQv1rKcP+P/EJGFHGYTdrOxWJuKRbRtM/omkilODI9ycmSckUhM+azZaFBSPAihvjlQwqyAX3m3pvsTUzuoqKiovJFcEOJ8b2/va1o+k8nws5/9jK9//euUlpYyPDx81rbtQjtR/uF//4ubNE6sso7s/Dy37VtPYped6jmj7Is3kb+ujQ0nd9IZH6Zvrp/Ft26i12HGkfo6wSfSnFy9hs/Mvo7DwRyPtffiLdMz+6JyVvpt9IykyBUmcBb8aA1mdEYdVksBm7GAXSvjkWVK0xl8chadVc9giZ0+m4kuWcPxYI7eSJaUJCzuChgNWhxmDR5dAZ+UxRyOcyAYp9JhJnk4SdfJNFfNaaKk3M79wwP4o2k+pA2yTz/IA9oJ5D3D5HU+rq3Mc7m1E0dpgHiklLs0m4nobYQveY70nDT2rJdLDmW4eLcBW1+Ygl5DtsVHcrGPlF1DWtbQMVDKyb4SpLyGQGUfHvcgmqgFZ8qF1mmh01ygrc9ApM8MZhn/rBQt7gJ1E1Y8egMHR7t58BItN2jd6N1Rjjx3G5sXNfCoRsfegSf54mPrGf90M/d9LYoxq+evFnhoePdedn9Tx86dy3nvn7up/0sbnUfvxnT3leS+GmNE080jH1+Mqd/IfG0fc96zlLaH0+j6BjHn05iNUYxOLWXvbcaztAx/sw+j7ZRHqBzqJXz/P/C/5hFOWHT807pv0uKbT67vabKdD6NzN2Ke+2E0RvtrPtekTJpwVwfR4QRDbRLtfzjA2LAPc1ktTWtLmLPJT/UipxJF4RW96L2rsZdegUZ3epj+Ql4iefD7pDvvZ7i8kVtLhmmwLVLC3Ft1Di5EhPd8MPIwo4onfQyvYzOlnpswGcre6k17W9M5FuThg0d5/OgJEuksS2orFS/5dU31quX5m4iwtj7aNcrhzqIYf6JvXHnxIF54z28oU3LHC1G+JqBaX6uoqKioqKicXURIYhEafygYmxbvh4JRhidF/HgqO72sxahXRPqpXPdlk+K9EPOFJ77JeO6JI3lFUCgKBYpYMFmLPkVoENO5SeFgZp8kK+KBy27B67DgcVjwOq1YTH88ypqKioqKytm7nneMBTnQO6gI9Yf6B5X3GkJUnVsRUIR6UURbjQL42pw3xLuiEyNjnBwZ48TwOIPhiCKiy3lxL/zT1i+Oj0GnPVVrdWi1L/+e48USz4v/f4E/vkFCuBcC+5SwXhTVjdim26f6imJ8se/1nDMi+uTJ0XFODBe/OyHYD0xElHniHVtjiY9ZZcK7vuhhX+/3qumFVFRU3jIuCHFe9zovomITVXH+tZ0oOx/5X/T3SrivNLDX5efpX6wh4Iow5PIy6spT/s6nWfuNDn78rhzXb1vKrvYl1JQ8SuKhp5iQXRg/9RkuGangux096MIxZl1WxuJ6D9qUnqdan6Gmag5BvQ6bJouvkCeATbxyQDIY0Zo0OCxa7LoCNmR82RwluRw+XR5PlY18rZMhp4XehMyJ8SzHxjN0hrJEhZe9VMCuy+NMhCnEUtTEjezcPs6ymmpW1AR4Lh1kYCjCx01xUhMd3F4ZJ7a9HznvZGHAyUc9J3GZCpg05fxG3kSnoZrU0j2klg9iNtWT6mqnpbWeazpN1AwMYhBWf3UBQlsqGJmtYVBK0XXcxcixEvJSAUd5PzbzCM6UkdqoH5/JRlQLeyc0dA8ZyRoLmBfEKZsTpyFW4JnWEdwr5nGRM0kXR6iYOI7Z7eF/MttY/6ifdf7FdPtmc8s9B7la38Kn3ttLzj3M7Z+bjceq5ZO/W0+f5VckfuvAuWgFR9c9TuzxTez9TzOzA1GsIyOULasAaznj2wbwZAfJxBxoJQn/Siul767BO8uPp9aNdjKsYrb9eSJPf5f/KcnTo83wL+v/mybPbORwO+nWX4ik8JjnfgSdq+41n2+FfJ7YQB/JsRGMZi3J/XfTcaycjoG1hEcKWN0GZm/wKkJ9YNbpnv3TXvSh7cRHHkWrt+OofNcZvejT3Y+Q2P8dEjYXP6/JobWW8qmyf6bU+MZcCN8qJEliZGREaQcCAfQzLJbz+TTB6COMhu9BkqN4HJcQcL8Hk7HyLdzitxciVNzTx9t56MBRJT+c22bhivktipd8hcf1Vm/e24JUJsfR7pFJz/hhTvSNKdbcLltRjF/YWK4I8nVlnrMuxv+x8aqionJuoY5XFZXzhwt5vMZTGYaDRS/7ongfY3hSyBcCvjAwnMJtNxeFeq+d8kmPeyFqi+ce4XknxG/hsVZsy8pnxTzhSae05ULRE2+qf3qZ4men2mIdimggT3rnCVFdniGy504J8PnX+apIRBEQz2Uz909gNuqV6EYeh/VUPUO8n6rFc55W9Zh7aTjhnEwqmyOVzpHKSooX7FQ7ncmRzOSUqFJCuFHyUit5qHXK9660jZP5qkVR+qamda/q+76Qx6qKyoXGK41XIdZ3joUUoX6qiHDkIj3L3PKA4lm/uLpSFetnIK6/HUJMHhmfFOLH6A1OKPdK4eVd5/cyq8xPlcetfGcGRVDXoddqMeqLtRCdX9I3uZzhRUK8WOfbzeFA3NemBPv2ybovNKEYGYhzs0EI9gE/TYqHfQkNJd4LIvKDen9VUTn3uSDE+df7A8tkMikh7UV4e5VXd6Ls/o//xm7Xk1mo5+fPX0LuiJHylnEOxBvIv6eVy3bsZp9xjFh9gIbbNjHm1mIIf4vY1jQdF1/Mn1VfxdZggu3tgwTqTLSsDLDIa2Xr008R69yPxW5EZzETqKnFXVaDwVFJBhdyMoUnL2MtaElptcT1BfRmHT6zHpu2gF2W8aQyuIWY7DXhn+VEX+cCl4lQSub4aIbvbAsynshRqs0SHwmyWDax6/lxPFYn18xuok+T5qn+Ia7RZ5gX6eVnJSP0HhhAylrwuQL8RfUAVdkhbOZSns6tY4dlEan6E6Q3tOJ1zyMh5chGcniPBdhwNMXS7j7ciSx6TynGi2aT3OLjeE2K5/dInNxlJJWRGPX2MWQcpLpgZVVrCxWWcnR6AwOxBD2xCTK6LMYFWQzlYRIGLRs9pficYxxpvZf1DeU8YQizb/QQX/7mGoL/Xs9zt5jYOTbA3zXVsfnqLp65C3Y8P5vrN4zS9P16BjueRPP9LQz8cA8Vmrn85ONmyjJ+3v9JBwduOUxiNEnpknoiw3oC6RdIDvmJB30YzTI173Ph21CGv8mP1W9VHuZS235G9Ngf+E6FgSEpylc2fJdaVwP5TITM0V8gR3sxNV2HvmLt63r4S4cniPR0oSnkMI89iK6QIBr4HG27NLRtDZII5TA79FTMdVAxx07FXDuBZtt0+Hs5GyQ2cA+5ZPfLetFLEyeI7fgnMrkI99c56HZo+Ujg72ixLuV8JZVK8dhjjyntLVu2YLFYXrJMPp8hGH10UqSfwGPfpHjSm89zw4RzGfFD6+GDx3ji6AlFoF9eV614ya9prFUtdc8yyXRWyRlf9Iwf5mTfuPJj12U3s7CxKMaLUl3qetN/qL6a8aqionJuoI5XFZXzh7freBWvYYLRpCLWC497IdgLr/ui932MUCz5sh534hFo6iW/EMLFC+uptn6yLd69iPZpRatVlp2aVkQCfbEWIsHM6dP7iv2nT0/N16KfbE9Ni/8t9k94ZU7EUoSiSSUFgGhPTc+so8nMafun1WhwO8wvK96LWhgz2CxG7BbjOf18LgSwRDpHLJmZLiKigjBAFUVEhUoKgX1yWgjs6aw0PX2qSK9oLGGaFOLz+YKyDmGE8WoR54P4rBDzhagk2uIYTwv7Bh0iIF5XZ7siGi1aOB+H1XKa4D/1WUX0F+vSF9ej9M8wBni7iU0qKufDvVVcs5Uw+Ipn/QAH+4YUz2ZxzxB56hdWlyti/bzKAGaD4W0lEk95dc8UiRWvbuHRrXh2+2nw+9SIimcJ8U6uY7QYnaB9ZJy24TF6xkPKPVE8L9QKowjhWV/iw2YyTj8fTRk+KM87ujNPzzSQmOp/K+5Rb9dnYRWV84kLQpz/+c9//orLZLNZhoaGeOqpp3j22WcVb/t77rmH66677k3ZxgvlRHn+g/9B2btcPG+pZMftS6kKBOkylBOsTFG7eStLv9/JLe/Mc+MTK3hhaD6VgftJ3LuNpN6F96N/yYIRD//T3oMlnmDeZWUsrPeSmcjz1J3f5qoyD7NddoaSCXqTKdpTOUWIN9lM1DVVU1rXiM1VjVFbihTOY8hkyOUlwlqZhEnGatLhNxmwUsCek7AlMxiRsQVM1C0qQSp18F/PBdk9kMRlyCNFYzSNJ+lrTRNLyLxz7ly0Rj0PjQ3RIMV5Vz7I73Lt7BoYQkro0Zor+URTgmXpY1i0FtrzS3nQvpmIbxTpsh2U+D1MWPQUMk5s2VJMYzbmtI6y5GA/7miGTKkPqbEWz+IKnLNdPNGd4qkdCSYSMgOWQcZL+phTbWZOax3VoTpMGgsjkSzd4RBpX46CtxXninlc6kmQTXdA9gA4bfxIepYrH2pk1c4yRr+8lh/86CClaTdff28arzPLrd8sw55Ocu3fVxDdvJv0L6qIrzOSWjXO+CMb2fPNPKtWB9j8CS+je7s5dPsx5JwGa00N7vQe7Nkg/ccWkok68MyWqflYKZ45XiXUvd6oIfHwvxKPj/Itf5ZQNsK/b/welY5qCnmZbOeD5PqfxVC+GmPzu9BoX/tDpZTJEOnuIBcPY4xsw5jtxrL6b9A4a+k/HKX/cIzBo3GG2uLkUrIS7r600UrFvKJgX95iR6/ZO+lF75j0om847X8IY4L4rq+QGd3Djio/T/sy3FDyWda73sH5SDqdZuvWrUp748aNmM3ml11WiPSh2GOMTPwGSQ7htm8koIj0NW/iFl/YP76ePHZSySV/cngMr93KVQvncOWCFspczrd68y5YEqmZYvwQ7f1B5UeWeOkqxPgFwju+qZyqkjdfjP9TxquKispbizpeVVTOH9TxemaEd3w4np4W0qeEd1EuNK9y4f0/U7yfKdwLA4aZ0y/2xhcI0VcI9Q6L6bR6ZluI+FO13WKanha5cF/NM6bYxlgye7rInswohgUiQsLM/uJyaUWEFwYKL/fGTaQ6MIv3IiaDUotpq9mghP+fLkYxT68sYzUbFbFbLCNy9E4to3zeqFcEoxcbBogoCEKoF173IvxyJjtVSzPmSUqfIuhP9mVEBIXJvqnPJlMZunr6FNHf6ytR6ql5IlrDq0WI+4r4fwZDAFHOtP9TbYv4fmYsM/X9WUz6c9pIQ0XlfLu3CqmgW8lZP8ihvkFFtI8KsV6rZXZ5CQuqKqhwO/HbbcXisOGymN/y3+yvh5nh1ae8tWeGV5/Kh66EWC8toc7vUa83bzFZSaQTCE0aTowp0QzE+SruYX8qQvDXzxTtZ4j9Spk0dpwS9It9p4v8M5fTv9JywqAxL3P8yBEseh0b116Ez+lUDA3MqkGbiso5wwUhzr9W7rvvPm666SYlnMf27dtZuHDhW71J582JcuDbXye3wskvH7uUQqcWX/MERxJ18KGDXPnQXp4uD6IvqcB/xybivgz5of8ltT1Fz5YtfLZ0C/ePTnC0a4TK2RZalgZocVl55tEHyHe1Muvym6hZ3ox+IoJ2cBT96CjG8CATE2P0J1J0ih+iaNBZTDQ1VjJr4Swc7lqslJAPaxRhNiZlGdZlyRnz+Kw6XAY91kIBSzqHLpVi4dVV/D6o4TdHomgKMnqNhKNrDH13nv6ROOubmqm3uXg+PsFEbJxPGeMcGj3KA4lBsmGQDBVc0WjgOg5jSSeJF2Zxp+edRMxgaWwjtLSTlFcmYohhlIw0h5ZibG2icnCYJT29uOIpwlUuOpbVkKz14rZaGRiGtgN54nEYdYyQbe6npgVKTgZoOtFMIWThYF+U3JUdEIHFLRW0eMfoOfF7mqrt/N7QQ09uhL/+q8UEm7X0VazilhMHuMpVypc+GmK81cLv7qlkvfcY1T+uJhrrJnLrfMa+epCV2g/wr988jGFHCTXaUtZd52fhFUaO/7aNtvs6wGDD60/R6N3K8IkWBo/PRafXUn6xgcqb/HgbvTi8MskH/oGkO8B/GXtJSUlFoA/YypVzJze0k+yJe9C66jHP+ygag/X1hbkf7CcxPIA+dhRzah/WVX+Fzjd7ehlhyT/elWTwWJzBY0XBPjpS9JZwBkyUNWvxlB3AV9FF+YIlOMuvQKM1zvgfMqmjt5Bs+xWdXid3V+RY4bmKa3wfvWDz0M8kn88Sij3O6MTd5OQgLtt6RaS3mF57WoK3O+L2J8LVP3zoKE8da1ce8Fc11Cpe8qsaapQfnipvLMLz52D70LQY3zEQVF5YitCmU17xQpSv8DvVHyEqKioqKioqKiqnPbsLwVsI9VMe6EIgj6cnazGdKtaJSWF8ahkR+v1MiMdNIdCLYrcWRXshEAtROpbIEBPr+yOfF8s6rCbFCMBhK37eaTVjtxqL/VNler4J26QAfyE96wrjhaJQL88Q/nOnjAKm+nOT/VJxWunPnTIASJ0hcoCYFtEFXilygBA6FOFeEfBPCfdTxg3iOxfHQhwDl81cbFuNSlsce4fFeMEZvqiovJHXXxHCXYj1B3sHaR0cJhhPnGZ8JAyEpsX6ScHeN9kucRRrMf1mhskX6VyEI0YymyORzSrtWDpD53iI9klRdzgcVZYV2zWV31zxig/4qfF51PdC59l5Koz4lDQ/Iq3PZLqfPzYtDM2kqTo/NT1jGWmqlpBftH5pup7Zl3+ZvtP/t0gv9Er3NWEoYDUZsZtN2EVtMimivWiL2mYyYRfPMJPz7FPTxuJnRL96/qqovDG8LcV5wRe+8AX+53/+hxtuuIF77733rd6c8+ZEafvd93hS18ihX82ntmaUY3INkVlRZi/bSvPPu/nltfDuh9bwbLgFf8XdZH+1l5zVRc37v0DpmJUfnezBkU6zZEs5c2rdREazvHD3d/DULmW0aTFGQ/GHZInTSLXfjNNiwJAvYIlEcIbGkfp6SY71MxiN0hNPEhGW1EYjVZWlzJ3bQE3dLBwEkGM6Muk8QSnPkC6LyVKgyqbDHU1Q0WAg2FzFj3aGiAnR3pCHkSglwvt6PE2lz8O6klp6Mmm2hYd4nzGOMdTNTyaOk4jIZAwVtASc/FlpJ87RLsgHeKLsRk7o69HnZAKOPuTF3eyb10e/NYJda2B5aiGunXMwPRVlcbSHikKcfKmD4ZYqeuf4CJbo6e3XEmm1I2e05GsilC1LoLMm4aSD7F3lhFoGKDg7MTXP5xJ/AqfcTzq1h6hFwx2aHVzXuoRl/22ie4mRB7RuBoMS/3RDhmUBB/0HzZzcXWDBkgiaL0bI/XQuHdedoLllObNzl3D7C3t58jfDVHfV0VDm5ZIP+wk0Sez/6RG6n+nH4jIyr+4FNLk8x5+/mHTUg9kLNe92ULrJjdcTJf/8V0nOvZT/iD5DvpBXBHqfxa8cTzncQbr1NjR6K+YFn1Byu78elDD33e3kwx1YEzuxLfsw+rIlL7t8PJgtCvVCsD8aZ7QjgZQKo9GME2iUqVk2n9qlDZTNtmGyFR/kM/1bSez9GuOGPL+u1ZK02BQP+o3u63Ho3Fzo5As5QtEnGJ24i6w0jtu+loDnvVhM9W/1pp3TiB9jwhr62NAoj7eeoGssSInTPu0lX+Kwv9WbeEESjqe4/7mjPLTtmPKS1O+yTueLF7XIrXohvaBUUVFRUVFRUVE5dxAvwafFekVwzyqifmJyulgX20IIFt7pU8K6EHOn29ZJ8V145VtNahjjNwnx2lIIJErY/4yk5H5WhPuMNNmXm+5LvahPWV6kDBDpBVIZoom0YhTwYsRPESFqKEK91YRzyrDCZj7VFv220wV+ca6ov2NU3o4I4TuUSDIeSzAeTzA2WYdmtEURBjkzEaKheO/is1unRfyZgr6YJzyGE5OielIR1U+J60ot+pX5k8L7jPbMZUQEkDMhDHiKnvB+JTS9EOOrPC7VQEflLTMmEOdrPJNRzmVRK4aH09PFc//l5gvjtpdDGJ0UvfANyrgSxaK0T582TU8XI9Qo8/VT06eWVaYNBiUlgHrvU3k70f92FeeffvppNm/ejM/nY2xs7Kz8j2g0yu9//3t2797Nnj17GBgYUP6XyPnhdruZO3cuV111FZ/4xCeU7XglHn30UW6++WZ27dqlrKekpISVK1fy6U9/miuuuII340R59rkfcvcDV2AYlnHUxziarkb30b1cd/t+fjcvTKmlCt09m5B9UTLd/4e0L8Xg1e/gY66LuX1ojP7ecern25m1JECDzcwzD9wJw/30zruOD9do2TTLQY/BSl/BSG88T+94muHwqVxxpU4jPqcRe0HGHo9iHBkmN9BJdHyY3liccFYib9BT6vPSWF9LU3UjZc4aNJKJExKYPDL+dAafFMZ/xVy+ezBGfzhLAYm8JOHcPkIyJGGwaNhc0YIkaXgiOsoSzQSrc+P8sGsXI8ksKVM5LrObv1kYp6p7D8ackZylmf2uJezTzSKTNdIkx/DX9rNnXSs7K0cxGc00aKso7a3B8JiOlXuC1EtRLB47zrJKUm4f++dFeVQnET5YC1kTtllp/AszJLaZiG/XkvngEexHXQQWlLGgYoiJvheodOb5jfYIGpeGD/3nQnJtUbrcDm62wzy9h29+OUnoaSu5jIlC6xDWvwWN20rXMyby741xtfMLaNAquXW+98A2gk+aqA/XMH+Jh40f95BPRdj9w0OMHhpnTstxStwDdBxbRfBwLQWdBWeznpoPuvFVDmPpupXMhvfzr+0/xawz85WN/4PLVBS086lx0odvoZCNYp73EXSeWa/rXJSzGSY6T5AdOYkpcQDHnIsx1G16VTfvXEZm5GSC/oND9OzZz1BbjlzWi87ow19nU3LWi1D4gZoI2o5/I5ceotfj5Dl7mCGXk4vcV7PJ/S5cei8XOoWCRCj2JCNCpM+N4rKvUUR6q6mRtzsiPFn7ZG4qJdTV8BiD4Yhi3S3CSa1urOHqhXNZXlel/gg7S4xOxLl36xH+sLNNmb5ydQvvuKhF9YxXUVFRUVFRUVFRUXlLEIJdLJUtRkdIppX0BCIaQ1SZPlWEkK+0FVE/c8a0CsKzUURFKEZEMBZTEAhP/UkPflFPee7PTEUwlZ5gKpWB6DMaVLFD5cJDiIpjsTjj8aTibT8WTxCcId6LeROJ5MumAHkxwkNfeAYLj2KlNhoU8dE62bZOtot9hum+U8uaFMMAdaypXChIU+J+OqMYpkwJ91PivShpkaomlzutVgzYpBdN5yRlfa+EGD5Tgn6pw65EmajyuKn2upR2pdv1pkbJUFE527xtxfmDBw+yZMkSLBYLiUTirPyPJ554gssuu+wVl/P7/fzyl7/k8ssvP+N88VV+9rOfVYT5l0MI9P/3f/931h4Cpk6Ub971BB2/nUVDfT8HM83EFo+zsH4rZff3c++VOt5170VsTTfhqLqdwm2taNwuZt/4NxTGdfziRC9uKceKK8ppqnIz3B9n3+++h7X+ImRPBT+xDWHXQSFTtH7UCEvhci/ZEjf9Nid9egt9eT29YYmesTQjkVOivddmwK2RMEXCyCP95Eb7iQeHiGTS5DVavE4ny5sXUjb7YsJOKNHkKBsfpXp9Bb+Mm9k7mEIjZcnoCuj2jqPtTWO051nkr6dMY2d3PEpaGuZD+hi/PrqdI6kISWsAXd7LJ1ebWDmyE20ygcFRiTFr4Vi+lt3WhQznPPhliUWWMbpWH+DZJYPoPW6sOiuFuBHHYQctz6RZczyN3WnHMasOg87OQwsP8VTGRurAIgwFC57ZEvLzJrKLT5IPhLDa57M8kMBq7cU6cYA+OclDlgN8IL6RWd/V0peK8ITFwB7s/PlaPZvWzSP45BAlvhyJgR70f5sn+egi2tfv59LGT1GqqZs+14TX7233HMZ7oIp6XYDVV/tYeqONkX2D7PnxIRzZozTWn2B8ooGuHUvRxA1gteJbaaZycxiPbifypi386/6v4jS5+cqG72I3FsPCF6QU6aO/QJ44ianpBgyVa1/X+aiEuR/oI959EE2yD6vbgWPJu9EaLa9+HYUCyeDzDB3eymiPj8joCkY6jIT6Usp8i0tDoKyPysBuyir2krRPcNAp0eX3MrviPVzivRG3vhgZ4Fwjl8vR09OjtGtrazEYDH+iSP+04kmfyQ3jsq0k4H0/VlMTbwfCydR0rqkXhyczivBkpcUcYU2TdY3XreYJO4v0jYb5zVOHeGpfh/Ki6Zq1c7l2/VzFw+R85Y0cryoqKmcXdbyqqJw/qONVReX84O0+VsV7CeGdKER6UUSUBUXUnxTwE2nhnV/08J0Kya+005Ne/Ur98t6N0yGMJ8X6Fwv7U9EaRLFNtS3FaA7FumggoBqdq5yP41V44Yt3OlMe92KszRTdTwntRjViicoFx7k2XsV4VFLNvFjMP03EP9U3EonRG5qgLxRRnKQEQvYqdTqo9rqnS43Xo9SqcYzK+Uj/21Wcf/jhh7nmmmuYN28ehw8fPmvi/Mc//nE2bdrEsmXLlC+6vLycfD6vfPH33HMPv/3tb5FlGaPRqHjYL1y48CXr+cd//Ef+8z//U2kLg4IvfelLNDY20tHRwTe+8Q32798/vdxXv/rVs3qi/PlfdWONZzCUpzmRL0f3sZ3c+MPD3H5RhNlSLbEHN6ErHSFx9GdoWlOEb7iRd1tW86O+YaKDE8xe6qBxQYBKk5lnfnsrhkiY7pZ38BeFYd7zsWXoljdRmIhTGJqgMDxBfnhCaedHwyLetrItGpcVbbmXtN9Nv8VBn95Mn6SjN5SlezTFWDSrLFeQ85hyGfTRELnxIVL9bSws87Fh3U0MOKx4zDkqxsepLoV9zXX89kQCIzITuSz53iSaPUFKAwbcFjsLjVX0p7IczAzzQf0Eh7oO8sRYDwl3CVLaz0XLAnysIY3+wAsUMhn0gSacWjuDwxp20cwxTT06WcscQxBt01GOXTJCaWMTUY1MdzJEakyiYp+G5fslWkZcOJubSTXmuatxJ607l2MbmoXXBbmRDOl3tlJ+1A+zqlhZM0AsuJcSbZzb8jtZWFLFlp+0UBjP0tEf4SdOIyaNg9v+2seTP9KxcE6amtIkw82d2GfPY29/L9Xlc7mo6cbTjre46d38zA52PjRBY08TjQEf697voWmdgbYHOum6+2mayveRzjlpO3EpdInoAy70Hgv+VUkq10YorK3jPw//EyXWAH+96l8ps1cUj0tBJtvxILn+ZzFUrsPYdB0azet7CM7EosTb95Ie70ej02KvW4StehY6w6lc8q+ElBknNngPUrIXi3cNOuulDLWllTD4fYejDB2Pg5SipGyE8orduCt3EivrpdvvxVt3A+sqP4PPEOBcQkTneOyxx5T2li1bFCOkPxVx3Cbizyie9JnsIHbLAly2NbhsqzEaXl+agnMNYW19cmS86BE/PMbJ0XHGonFlnniJIfKEzQoUw5MJUV48/KkvKd4cTvSNcdeTh9je2oPHYeGdG+dz5arZWM2vfqyfq5yN8aqionJ2UMerisr5gzpeVVTOD9Sx+qcjXr8qwn1WUsR64VE8FXJ/WsyfEvYn+4QIItpK2oVk0SgglsyeMVex0DpsIjS/ZTI8/4vE+ymBv5iqQSxXFPuFAbXJqHo4Xkio41VF5fzhQhqvkWSKvlCYvokwvcEw/ZPtwYmoIvoLRNQYkUZCEet9k+K94nXvVr3tVc5Z3rbivMg1f//99yvi9t/8zd+clf8hRHfdK3hQ3nfffcq2CN75zndy7733nja/vb2dOXPmIEkSy5cv59lnnz3tYppMJtm4caMSNl+v13P8+HFFuD9bJ8pn39NDU2Mve5NziK8ZYqXzOWzPDvDIZUau/fU6ni3UYay8Ff3P2jCWeFh47ZcYDkr8rq0fn1Zm5WXl1Fe66O8KcvjBH6Npvhib3cP3a+I88Z4F1DmctDg9uI2m0/5/QZYpjEaKQv2UYD8cojAxGfVAo0Fb4kJT7ibl9zBosdOjMdGX0dA7nqFzJMnJtmFMnTupK4S59tKbCHtq0DskSqNhGtIhYquauXlAVownJqIx5HiB1NYRKj1GHE6Z+YZmChkt29JB1htG0Q93cFf7ASIlXlJSGaa8jgVz3LyvIoq/+4Ai0tO4GL+/nNSxQXaFSthHC9GCjTJdBG9VB7otMVatXscYGXbFOjgw0os0mqChrcCsE2bKkuXs9kc4MnEF1V4T6QEduQV7YBZ40vOpLUtS6erHGtnPgegQu7zd/GPyWuzfTDJysYXnnu/hftnFlioDf/aRq7j9C8f44CfGsBsijK8dYXy8hVFXN+9s+UcMlpeKXK0Dw3z3gRfIbXPQHKlnznwP6z7mwlVWoPW2beiP3YtBl+NI+2ayg25MkRSS0YvJJ1O2xYT+Si23hr5DNBfhk4s/z8aay6at2HKD28ic/B06dxPmeR9Go3/9DwnZYDfRgw+SkZ1oHZVYAvVYSwMYba8uz3ehkCcV2kZi5A/oDC4cFTdisBWjCSTDObp2h+nYOUH33gi5WBSrbRhv+Qs4a/ZQmDWGsW4DC2f9LaXO+ZwLZDIZdu7cqbRXrVqFyXT6ePpTRfpw/Fkl5H08dViZtpjqFJHeaVuDxdhwzlsqituTCHEmvOCnwtILUV6EPJvKVSZygzUF/MwWQnyghAq3Gi79rThOhzqGFFF+/8lBKvwObrx4IZcub7qgrNrP5nhVUVF5Y1HHq4rK+YM6XlVUzg/UsXruifxTofkT6aJgH5sU7+OT/SLEcTyZVTz8E4qoX/TwPxMuu5mAx07pVHHbCHgdBLyibVe89VXOH9TxqqJy/vB2GK8iVP6w4mEfLor3k572oi0E/SlKnHYl0qkQ6qu8bmp9HiUCqtNy/kbhVLkw6H+7ifMnT57kn//5n7n77ru56aabuOOOO95ywUWI70JUF+HtRS75mfz5n/85P/zhD5X29u3bWb169Us+v2PHDtasWaO0/+Iv/oL//d//PWsnypc/fZScF7oMXgwf3sFN3znC/10aY1W4kf4nN2Ap7SG27w6M7UlSN36IKwyL+F53P9mROItWuqibV4pXZ+LZu/8PU1aiu+ly/k47ROwdZXx3PITJosVq11HtsjPH6WGOy6OI9fU2B7ozeKgW0tmih73wtJ8W7kMUUkXveY1RjybgRg54uD3v5Vf7QmROHqE01MrlGy7DVbWSpAsc2QSzxvqxzQpwq85Ff1yCVJxoMk/ihSBOKc/8BQbskVLKZCeH0wnMugFWRAe4/eB2xsqtJOrqSI4Z0I+k8djhqvIxVsRPYhYWyd4WZEc1uf4QJ4cN9JjnE7SVYdPnKHd2g/MYto4Ceb2WoUaJwfockQoJowbKBjSM9y1HPz4fp8ZJ1hUku+YkNaFKYiXlrK4dRJM4hDk3xo/Tz3LZrIVs/tUcLM8kCL2/mm88fIj+hJX/vqSCY7u8pMZDfPgzSWT7KBNzfeyXuqj/w2rmb9yAa5nnjDe63+47zJ0PHqX6aCP1mjKWXeZh+U12pMgEAz/7EfpIB8fblzI0thRPaBSyWmSzA2uzC//lZp6t+w270s+wrmYzn178BWzGomguwtunW3+OxmjHvOATaC0lr/scLUhpUgduIyXSGriXUzCXY7Q7sJYEMLs9aF6Fh7PiRT/wG6RUHxbfRdhKL0ejPRX2R8rm6TsUpXPnBB07QkQGx5DyvXjL9lLSeJzSZQaaFnyY0pp3op3cxwsZWU4QTe0lmthJNLEbOZ/EqPfjtK3CZVuF3bIQjUZ/TnjEHx8apW14jLbhUUWMj06GRHJZLYoAL4R4IciLUuq0v+X3hbcz4vFhe2svdz15kBN94zSUe3nP5oWsX1inRio4zyg+CuYVI56pusBUe8a0Uk8tJ9qFGZ+RKBRyynRe1JyaLtaT0+JzhVxxGaVPesk8MV2cX5yGAga9D6O+BIO+FKMhoLSN+lJ0ugv/Gq6ioqKioqKioqLyRiCcXIRAL4R6RaxPZZmIpRiZiDESijM6EWc0LOoEklz0chSIkPnTwr3HPi3aT7WF973621xFRUVF5bUiogJPedoLsb5/sj0QjiBP3odEiPxZZX6aSkuUurm0BK/d+lZvusrbiP4LQZxvaGh4xWXE5oyOjpJOT+Wo0FBTU/Oyy4v5Imz8m4HwiN+7dy92u51YLHbaNouDMzAwQEtLC8eOHXvZdYj5bW1tygHs7e19wx9ep06Ub335afYkFpC4pI912eeRjwzx3EYLl9++gecNlRTKf4rtlk6slV6WbvkSh4NJnjoxRImlwKrN5VSXO+k+3k/bH35OevblVJrNfHN+nksMGfJDWtwGEwlZAn0BjbVA1ihhsmtwOQ0sLPey0OebFuw9L/Kun/m9EUuRFyK9EOxF3RckPxZmz9JFfLs9T//RDtz9u1ja3MCKZdcRFOHftRlqR3qpsel4pKaGbWEZuzZH/3CE3JEk+eE0Gza4SQ3LtFDLaDpHl2aUqzN9PHFkD+3BUTI2A7GGCiLGErQDOcxShtX+Qdbpu7Bpc5ysbORE43yMGgOaoRzZoSoiiQAGWUulbRT7sgiWtRXonEYkfYGx3ChDx48yWkige+hGmtMeJrSQrngG/cVuSoZasFdnmO8awpbcx9NDx+itinJD40aaP6/BpjFxco2F//r9KO6sxD9dvYEHbglx8U3DLG2KkHen6VwRYCjUR+3X1+JvqaLy47WYSl9qOTYajfH9x1/g2DMJWvpaqPd6Wf1eF7MvMRN+8n7izz1Eb2cFB45swqUH+0gXeYMbTaAWvddMommQZ6rvQtMS5/MX/X/M8S9Q1ptPjpE+/FMKuQTm+R9VPOlfL+LYSz1Pkzn8S2TnXKSSzeTSObQGI9aSUiy+EnSvkGNnphe9Vu/E4lmByb1E8ah/8f8a60zSuTPMiW1DdB1uJ5cZpaS0k+pZg8xdW0fDymswlK1Co7vwrcGF6CU86SOKUL+DrDSOTmvFaVuhiPVO63Jl+mwjLCOFCH98UoQXYnwonpwW4lvKS4sifFlRiFdzEp07CEOgrfu7uPupQ/SOhplfH+A9lyxkeUuVeozeAvL5DJIcJieHlXq6SFN9ESR5AjkfKwrtisherKdF9rP8JKjRaBUDII24p6JHO9VWim66f2paq9RTy4voCwVycohsbpSsNDq53UV0WouSskMR7ZVSooj3xekS9DqPel6qqKioqKioqKiovAbEe5SQEO1DMUWoF6L9WDg+LeCPTMRJZ6Xp5U0GHSVuW1Gs90x63E8K+c1VPoxqqGIVFRUVldeACIM/GI4qkVRFFNWpWkSFEQhxfiqaqqibA35KHBeOE5e4D2clmVRuMg1ObjLVTTantMX3Y9DplKLXaTFO1tN9Wi1GvajFtFaJbCr6hFPthfIdvZlcEOL82fCkEyeTCEt/thGC+4IFC5T/JUR6kXd+is7OzukQ9Z/5zGf4v//7v5ddj5h/8803T3+uvr7+rJwof/W3J+h32LC9dxs3fvM433tHgkv6mjm+Yz2OsuNEXrgHe38SbvwEq7QtfLezD+14kpVrXFTPDWApGHnh19/DrDXTW38x/6Yf5OQ1Nfzb1n7+v0uW8I6FVXSNx+kaiyl1x2iMjmCURE4iIefIG/LoLGCxayn3WVlU7mVVZSmLfD4a7E7lYnAmCvk80qP7kJ46xNicer6eLWHXnm5M3Xuot+S45qoPMmH2obPKOIL9LE7GON5Uy2/SBsyGAoMDoxS6csROJFi41IPHkKA8Wo8+q+dQIcJlpiGcyQjPTvRweGiAqCZHst7HhKWU/JAGy3iS1dZ+1lu7sZokDs9pYdvyFcheN/ZoFvtuHfIJNyQs+IwJypdlcFznQajcmViS547eT7JjEeVPVGHSN5KsO4k0f4AKVyOxvI+l9SMEssfIZHr5QfBpPrziYnShEub/YxbH6nJ+ONrBc+1Grg6lcNtWkk+Ocu1/GfEkOtHj5vDlEvkJA2X/vAQ5WqDsxkpKr6tAa3zp97mtvZvvP7wN0wE/LeEmZrW4WPMRByWuTsL3/YShozme3boZGTclkQ7M2SQadxV5VxkZnZ4hRw+9DftZdsVs3nv1+9Dr9BRySdJHf44c7sQ0610Yyl8aIeK1IIe7yOz5PoVcCt38j5Mp+EiFgkKHweL1Kd70BusfF4qlzBjJsSfJRI8Kt3wMtkbM7qWYnPPQaF8qtseDWU7uHGfb0zvp2z2EPpnF54zQOCdMy/p6atevw1i2WBGT3hbh8LKdikgfSewglelShLGpPPVCrBce9n8qiUyGE8PjigBfLGOMRGLToemFR/ysslKlFuVCepi6kMhkJf6w6wT3bj2svKBZNaead1+ykHn1gbd60y64cSnn45Mie1FYL9ZhctKp9lSR80VjxinE0NFpneh1LkWYFrVB50ancxQFb8SDuBC8T68VEVyjUepif7EWyyPEdWVaXBeLdXH54vzi9JS4rp9RpkT3N248K8Zd8oQi0ouSmxTsi+0xpZbzp8KiCUMAgyLYCwFfeNtPet1PC/r+cyJyiIqKioqKioqKisr5gngmF5734neh8LpXPO4nRXwh3I+GYkrYfYHZqFcMuS+aX8uKOVVKrnsVFRUVFZXXc+8ZicYUkV68W24XKVBHxqdD44vw90KkF2lPmydF+/I3Mf1pTpKJZzLERFqZTKYopE+V3Ivqyfb0Mi8S4dM5EU3yjd/G4jvDScF+StjX6xWtrijsF6cr3U7qS3w0KMWLx/b2jlTQfyGI8x/72MfOynpvvfXWs7JekSdeeMM/+OCDSs77kZERpf/222/ngx/84PRyDz/8MO94xzuU9ne+8x0+//nPv+w6xfwvfvGL05+76qqrzsqJctPngiSu7OSy4W2MDY5waLmFDbdfwi5bKSnfj3Hf2ourzs/STV/imfEw+06MUu7WsmJjGRVlTtoPttHxzN3EWq5hrhH+/SIr6+MTWCJGtn7xSmyml3o1C2ue3mBiWrQ/OhymdUSEJEkogn1aljGYNdideur9NhYIwb6qhPU15ZS9SICVD3SSu+s5cn43P6+by51b+8h1tVIWbeeKa96F3tkCjgKFZIjF473k/aXcZvOS0mqITkyQbo8RP5rCX2Vj5RIDUpuNyryXk1KasiqZa6xpPMEYB8cG2DHSQ088TNxrpLfMy1jUhKkrwkq5m022XlzmPL1zF9K2diPDpS5y0QSFIzmsh+3kQi7sGpllTTLv+FQjP3r2Ll4oGcPyh+uY3esi6dEwkfsD5k+U42ufRb42y0XOYbzyQX47sJNsiZZrFmxAe2se794csUtc/OjhBOO5NO8e0jOYmMVlHx6mbFUfpXEDJkst+y/qo9SyFO+dzYw9MISx1ETlJ+rOGOpeXMh/sW0vDz1xkqaTs2koVLDwYifLrsmiO3QrE0d62PrISnq6avCYh3Bl4pgKBrQ6A7LNw4grT7SQQu8vcNFVi1lwTT3WgJZs+33kBl/AULURY+M1f5KQXcgmyOy/GWnkAMbmd6BrvFYR6JPjo+SzWQx2B7bSMkwu9x+9meblNJnoETLhfeSSXYowb3QuwOxegsF65vzqqXSWx194ht1P7UDabcEctmA3SdS3xGhcW0XTlouwls86azfxXC6nRNIQzJ49G8MrRAs42wivVCHSR5M7J/PU57GaGnHaViu56s3Gulf8LjI5SbFmnApNL+r+UFiZZzLolQcjRYQvL6WlrPRNfUhSeX2IvIUPbzvO755rJZpIs3Fxg+IpX1/u5e3E6xmvU0K78FqX5BiyHEPKi9Bck9NT/fmo0jfl6T7TM1wgRHIhsM8U3PV6MV0sxXlTxTUprr89mfrOc4pgPzbpbT9CTrRFX25M+Y6nEJcf5XvTutDphFGDo1hrZ7bF9+6cnO9Eq7Go161znHPt/qqiovLyqONVReX8QB2rKq+VVCbHwFiUvW39bDvSo6RC02k1LGoqZ838WqX4nG/vl/1nC3W8qqicP6jj9U9/BxSMJzmheNaf8rIfjyWU+VaTsSjYl/ppLitRapHT/kxOxGJdGUkqiuvpKZE9q9SxdJp4OquI7qfPS0+3s7lTEWVejPBYtxgNxWI4vbZOts1T7dPmGWcsr5+eJ9Yn5fPkZFkpIhVNsT2jT8yX5On+mctP9834TLEtk85JSoqB7uDE9D6JKLeNk0L9lGhf6/Mo7/rfDvRfCOL8+cBtt932R40I/uZv/kYR6me+lBWe8v/v//0/pf2b3/yGG2+88WU/f8899/Dud797+nPCk/61ngh/jKGhIVauXMn1X+vDc+0LXPftNr57Q5qrj81m36F1uCoOEH7iAXzjCazv/gsaCjV870Qf5kia9evclM8JQMbAzl//Nyazj4GqVXzTNMgLNzTwzcd7+cbVK3jfilokSVIuYiaT6bSbiejX6XQYjac8liPxZNHDPpRk//AEh4cmaB+LMhZLk8vnlRfjboeBWr+deWUebppXzdIKH/qxGPIvnhYxlNm2diXffGaE0ROdeIb3sWzFMubMvoysQ0ROSFMycoQWnZO7Sipo1+rQ5tMMtY7A4TQ6u5GLri4leSDMrHwdOlnLuJxD68mzrlxiYThM58goO0K9HB0ZJmc1Emks5SRm5K4YS4JtrNOdxGnN0DO7ntGLN2FvakKbgaNHh8jvcZLvL6Ega6mvCXNo/aPEB5dSdbwJS1eAiP85CkuyeOc0IY37aGgcZXG+nfHcSb7f/QRfvPg6UgY3dV9IkVlkYWu2gyd3VLDCZcZ9sBy7foRr7vaTTjxG6aFqDF4PJ1dHaa64HndfJb0/7iB2OIJjhYfaTzdOh7qfOh7iOA1G43znD88yuEtm4eA8qhwullxrZq7/EaSu3RzZ18zWh+Yhp7NYTRN43BbsaQltLMKYL8rJyjDeaDOVxnpqF1RQvdmFq2o/+tAD6L0tWOZ/BI2++H9TqaK1mjgHxLkwldcskymGnRHnzNQNUESiyGazys1PP/A02eP3oPPOQr/o0+S0FnKxKFI4RC4RR2s0YfL60Dtd6A3GP3ruydkQ6ch+kqE9SltncGP1LMPkXore5Fe2RWyTXq9XHnrkgsy+2DM8tPshMtuyuPbXQr8LvSZPRVOaqqUBylcsonppMxa78VXtk8BisUxvo9g+sZ3i2mE2n/quHnvsMaW9ceNG3G73K44nsW7xP6a2fYoX79MUIkWI+H5Fn5g3xSsdJ70+Rzy9ryjWJ/YgyQnFy9TrXIvTKvLUz1c8qduGRmgfDdIZDCtCfPd4EDlfQK/VKDfteVXlild8S1kJZQ6b8j/eqn16vcfpxePp1Vz3LoR9iiazPLzjhCLMi4e5S5Y2cN26OVSVut+WxymZTPDEk79Do02xavUCjCZpWmBPpccVQRiS5AtTYnyUbE6IwIXJ/Zl6bihAQTxIOzAaXZNe7k402JQihGKrpXRabCdvJZ83K9v+djn3zvY+6fUF5EJQEesz2RHSGSHYR5VjWzSUiJKTIkrJFzJotaeMHYqPzSIUmAOTwTMt6BePn10xjjCbPdOCfqFgRVPwKtuhHqc3b5/i8ThPPvmk0t6yZcv0vPN5ny7E46Tuk7pPgnA4zNatW18yXs/nfboQj5O6T+o+JRIJnnjiiZeM1fN5ny7E43Qu71Molmbn0V62He7hwMkB8oUCLbWlrF1Qpwj1lX7nebdP5+pxikQiPPPMMy8Zr+fzPl2Ix0ndJ3WfxOfFeH322WdPG6/n+z6dC8cpnEwpIv3R/iFFsO8YDzEaFe/tUFKt1HvdihCuRIHOCNG9KLxPidFaEVlyUv8rUMCg1WIzGXFZrYqHvsNsUj5v1ulwmI14HQ4lOqzot+h1mHRaRVj3Oh2KmC481MV2n0/HSfSL1AIdY0HaRaSCUfHef4LRScMH8fWUu5zU+dyKWD+rPKDUZS7H9L5eKOde/1kS598epg1vAIsXL1bE9FWrVr1k3sz88yIf/R/DZrOd9uLwtTJ1ErwSuVU9rHpqkOfnpPHp7UgHWpBdMh3Ss5QNpTE2VzDP2MB9Y+PoohlK/Vqc5U7sBh3H9+0ln4jTV7OJpYkRCvUSPzk8SL3bwU0r6unp6aK1tRWPx8OGDRum/6ew8uro6KCiooIVK1ZM95841srg4CDNjY3ccPXS6f5Hn3yG/QPjhGxe+rMaToxGuHtPN798/gTXNhv56pXrqfz8tWR//hRrnnieT3v1/LTRx5B5Pdv272eot49Lrng/aaOVYMVSngy28u7BDrZ5K3lSeE2X6wlSwHcsw3O/GWTeOyo5ET3KRHuOMkMD1REnrWEju/RGSr02VpqMbHBW0ZaNsLutF6ecIey10rpwHkeSS1jec4yVu4/TcPg2Wuv8PHdRDfqacpZ9tp6hvlakB6vp6m2m6mgZB5eeIDRYR5WpQGliIYMP/oHoajf+IR8dESs1jjJqjCGa/eU8u3s/V128iaGPWqn6YYw5769koC3P9kicD67OMbyjjvavHKLma8voW74L7wsJGnaUMDTnYZyzP4L1sx5O3NFJ+LkIqSNxAu8qhrrv6e057Tj9zweu59FFx/n2vU/iPVbB4E9a6F5wBcs3NLBo9b2ULhrlyWfmkdxrYHDYiNZgxV3pRxsLMveIkR2L7+WAO8/i1stp2r+KnN6JsfIK5iw6QlXsB9iXfxStxTctNq9fvx6vt+hZKy6MU/0zfxiIB5DnnntOaV933XXovE2k9/yA6BN/z35pKbKjgcsvv5xcIkFibIRgd6cybmSjmQWr1qCfXM+Lzz2d0YutZDNHuxyERltpqEihKWwnOf40eksNHQNGhiaczJm7hKamJnQaHSucmwlKWdpXHmTs3UeJTMSo3zub7N4Ktt05inz70xjMuylt8lKxuAHfLDcnR/Zi8cPlV7z8Pk0hIm/s2bNHudiLfRKIm4fT6SQajXLw4EFFoH+l8SSWE+NJpNKYP3/+dP/OnTuZmJhg3rx5yj5NIV52ihuZSMdRWVk53f9qjpPHcbFSugd6eWL7LykY2ygrvx9JvpV4Wk/bSAntg25GYwGaapYwt6KU65fOx5xJEh3ox+/zsmHD+un/eeTIkbd8n17PcRL09Jw+ns6l4/RG79MLuw5w5xP7OT6cxuf1cNWaFq7fMI/OtlYO7dlG4gI+TkWv6wg7dj9APNlNVbUJpztHJjdAOjuArVTkO4euYTsmk3k6hPzQYJhC3kJV5Szs9kr0WgeybObQwXalf/WqTdisIv+5k0gkxwvP73zJPolIPaf2ad10f3t7+9vm3Htz96kas7GalCbFtq2i333aPoVCocl9ynHl1RcjK+kEYgyPdHKy/QAGo8TcubVI+ajiiR+aOEE4MoDRKOFyn3rWSyTipJIyFlM9tdVrsJgalXLk0BhDgyPqcTpL+xQMBpVa/Jia+qF2vu/ThXic1H1S92mqXyCeiWeO1/N5ny7E46Tuk7pPM99fzRyr5/M+XYjH6Vzfp2vWzlXKnb/5Le3DcVIGHb96/AC3/n4v5V47DqK0VNj5yHuuxToZYfNc36dz8TgdP358+h30zPF6Pu/ThXic1H1S90ns05QwHwgEpsfr+b5P58JxclstrKivIdXXjdsg8dFL1xCorFIczE6OjvH757cTymZpqq1lYXUFdlNRWD+8bw9mvY61K1dSFShV+nSFPE+fwfh/+r1RFq7btPZl3u+d38epyutWSpPdzJ7wCBc3BNiw6RK6x0OKaL/7WBv7j7fxzCEZo62oi4oIAC4tmHMZ5lZXsGXNKkW0F8YL5/O5dzZQxfkXcf311ysHe8oCQwyMu+++m9/97nd84AMf4Lvf/e50CPspxAkyxUxLkDMx0ypmysLjbFDp6aR0f5RfvxNu2FXHCzo/Ls8OuD+MzyjhWXETwXSGY0NhbIUCC+c6cHqshCMaBg48ham0Ga3OyLs0QX5a7iN8XOLf3zkPk+GNC5VrNWiZ6zIwb17N9KCbSGW4/Hv38ru2DKOmffz8PZfh/+wVSPfvYvkDz1FRm+DxK9bx++dtHO85SuTX32fuhk1UVq7AVjKfx6KDzJ84wQcNFdxasOAr15Ov0GF4fpy2e7op21iG4woT0ViEk8kksW493pgdw6iD3ZoWCvoky2s0rK2YzYmxfp7qO472ZCs5n5OeZfM5pl3BkuNHWXx0P3/WdoC+yhBHroDuJi2pa/dR8+Nq8t0LcM19mlRFD5oJJ9KQB31UQ35rmMj6cWwdAQ7ak1RofWxxzeX7w0+yORhGt7KExKNGqrbmCaw+TPCxVTw+McTqslLGx+vw3BJFe9MCQpceo7BLh/eEk4GJX2OpvAK5BaQ5OvzhMobv6if09BiFK04f3sIK6MoFc3BnU/zYvo3HB4aIDa1i5Je1zFr059Rbf8TFa54l95fvx3Kijz23DtLX20Iy6UKjt7F4uIlwej9Pzv0Ru2K/4op9H8CTnMPxwc30PBXC1/w4VdcsQ0Rjfr0RlXW+2Vg2foXks9+iqf8hxjVrKRS2YLDZcNsaGM/kCE9E8Btkxo8dxuh0YSsJCFfGM69QoyEte8kYG/HNnk0mdkwJe+/S7sLqktEnhsnELsVoF6Hri7mTq9NzuN7+QUJVvTxWdScHr3gUY6+NVcfmEUhECbYfp/fpYxz8bSXxrJ6CyUry+ZNUzXNTPtuOOZB71fsrrhfC4EZc8N/qEMkidM3ARITjoSjjqTStjz/HcCxBbyhMKBYjEhYHtol5DZfSEkjR6O9nVe0x1lQdxmw4RllpLzbzPGzmuYyP2kkMqUFZzlWS6aySB/Bg5yj7OybIaeI81/3UdH7AwZEgGjnL5cvr+csPXo3DWrxvdXLhkM9nyOQGkTUHMNhOksq/wMl+iXRuAFlOgCWMSS+RkWvIF2bjsCzG77qa0d4uMmkdzRWrqaxsRqe1K2O349D9ynrL5p16KBT3eClVfCi0mRdgMRUfCrWa0Fu45yqvHYOSlx5RgKixhFxShy5vprLk1MN7IdnO4FgrJo+HhUtXIeVFGoMIx0/sJZLYj9WYJJ46SDD6sHLLyugTWHwOUvl5jIXXYDU1YTbVv4X7eWExZVEt7rOv9GyuoqLy1jL1DCyeidXxqqJy7jLTi0kdqyp/KhajjgU1Ltavvwib3cn+k4M8u7+dh57tY9uJEFu7fsv6RQ2smVdLlVfNUf9amfIWLCsrU8erisp5wqJFi9TxepZxWMwsqa1Uiis0ckbRV9PXodQiAqzX6znrGt75iAitP6cioJQWm5GlFq0SDXje0uV0jgWVsv3IUY71T3D0SDuPdA8rnytx2hXB3iTnqEzJHIpnMSsh+/WcHB4nnUigHRlHtjsx64sh/JM5SfGIfyODvwsNRERLGI7GGYynKKRybGvvVtIVJLM5Ont76egZQjsY4rlIlkQ2y2gwhGbtFgovFN/zvlGoYe1fJSLP/Ec+8hHl5cEtt9zCRz/60el53/zmN/nSl76ktB955BGuuOKKl12PmD+VZ/5b3/oWf/3Xf31Wwtrf+vVvsccSZKLRScsdl3HEY2bC+BPK7hqick4FLSu/wO3Dw4x0TNBcY2bhRQF8HhvHnn+egX1bGZt7A5drY3zq+ko2HO+lHAdPf+4KJQTH2Q6VIi54//b4QW7b0UVppZH/vmElm8urSD13hMIDu9DVBdi6bCnfua+d0ZMdeMePsOTijdTWXITJJsJXpJAntrE0X8WdFj9hp5l4NkF8xwjWE0ncDj1VS324V1eQ9liIR9J0Hw2j79FTnTTQoDdh0xXwWLLM1qfIxYbZH+5h/8gAIU2eWEM5Eb+PxT0dLOvZi1uOM+FrZmDzag4Mxci3rcW55Gn2LctyyR2XEYqWobcNM3z4ccy3L8TZ1kTSNcFGR5AW/Um+nXiS6gMatnx4CxMRE9VfDNJ7ZZbt+wvs7bOy1FFGWW8F163tQ7KC8QMyGed+dAetOAp2zHkH3lXvROsUoXTNpPuS9P2ki9ihMPblLso/UoOj2vmS43R0aJTvP7WdWKuO5cMLKdVaqHIdomFWN3Xvv4586ASJ535C5+A6jh1axtDhHHIO9N4s7c1P0FH2NEuPzGNF6xr0ZRXofcKqWcLg91G6royqjS78863KmHmtYUVy2QyZY/eS73oEY/lSTEs+jcZom9528QqvkCx600vJBBqDEYPYf48Xi+NUDvOXO/dSiXEy0UPI8UPksyNodDbMrkVoLPPRGAPK+Ss+Iy6PhxPb+fXw95TPvT/weeaZ5pEdeJb4yacYPNzL2HAJoegiguN1JJNOCmiwevQEmq1ULygK9qVNNrSGwjkReiiaSit5Y9qHRuibiDAUjdMv6nAUKS+TzxeUHDY1fq+SO0axkHM7lZD0FS4nbqdjet1i+9KZMOlsG7l8O4n0UZLpNuR8Fg1GrKbZOO0LFdHeap5NXtZfUCFtzuZxer37JPoTqSzRtKwI7UJwHxqPMDQeZSySIBhJEUsV97tQyKPTaCjx2Knwuyj12Al47JS6rSybXY7VbHpD96nolR4jmQyj0YgQ31YMeuF9biCfL67/jTxORqOhGLY8N0Ay1Usq00dOHkKSh8hK49PfgVZjUzyoLeZqTIZKTIYqNAU/el0Ao8GqnnvqPr2h+yTnU6Sz3cQSbSTT7WSlbjJSH4WCrERi0GsDmAz1WM1NOKyzsJgalPQG5/I+XYjHSd0ndZ/UfVL3Sd0ndZ/UfVL3Sd2nN3+fkskUx3rH2HtiiO2tvYxOJLCa9CydVcGquVWsXSiiUBnOq326EI+Tuk/qPqn7pO6Tuk/qPr2afRLC80g8SedYSBHtTw6PMhyJkZGEQ1SeVDaniOWKAD9puC1SCkwx1a/X6RSx3mzQK2kCRJoB0bYp6QWMyjyjXodBoyEryWTFM0U2V0xZkE4rwrtIXZCRZSV1q0B8VyLFjvhvU/uvE+kIhMGAWLfJiNNqUdYvp1N87T++Ckf3qznn3ypuuukmxYtehAUSB0GENnizc86/ElP5D+769L/ww+tz3Pj8Ip4ZXI618knSv32B+myMwDv/npjk4M62AexJiWsv8WFrKiEa1nLgzm+g9c8i4mvhJxURfnpJJbc82s3P3ruOqxe+upD6bxT3HejhS/ftIWfN8cFL6/nr+YtxDoTJ/vxJMSIZuGY9//HEMAf2dWAbPEhdTRlrLr0JnVZk9pUZCO1gY9bM84ZKWq1WNGaZsZ4Qgb4UhY4E+lyexiozcy6uwLu+imFZw96uNK27IzgGCjQW9DQZjbi1ecoMWbxShL5oB3tDvfQk48RLnESbKpkXHWPlsR04UxPsLPHRpfsCFk+Sk1e9gK6vhaVPrSJtMdDReRfWy13orpmN/2g1iepuPmTppEdu50eD2/lcyWosC+vJ3p0m8ESCB684RPihyzmSHmF5eg6rnSHWrDYh5fLkV8nEFu8iOWrEN2zDP+bBvXoLpqZG5bsTwzr8QpCBW7uREzKBG4uh7rWG4oVmCnHxu3v3Qe54bj/egVIaxyopHc/hsCSYdUUFzatS6A9+B623Ft1FX+DAnUFa7x8j2JEjZo4wVHcAnTfIRftn4xzWgMWMvtKJIVAG5jLMXj3la+1UrLfjqDW+Zu9waeQAmX03K/nsTcv/Ap2n4bT5Yj9FyPvk+CiZSJiCLKEzWzC7PYpQrzdbXvF/Sulh0uF9So76ghRHZwpgdi/B5FqCzlA0aojJYX418h2OJfeyznU11/o+jlFrIp8Kkul/mmz/k0ih4yRTbkKZjYRiSxgb8jNyMkkunVcEF1+tlbLZNkWsL5ttx1drQas9O97y4oYjbnRDkajiDd8/EaY3GFZEeSHOC8Q2lTodVHvd06XG66HG58ZrKxpVvB7yhRypTDuJVKsi1osiyXFlfSKU85R3vc08B4O+6GGs8toQ4vvAeER5UTEyESvWIVHHGQnFSWZORW8QDyYBr/2U8D5ZRF/A68DreOUx8moQIrckh8lJ44rwLeqcLOrgjDKunB9nQmyCBoMi2guxXtRapRZFh0ZjRENxnlZZRhTj5DzRZ1Dmo9FO5hEfIJsbJF+YyhWlx2iowGSsxDwpwIu2EONFqHkVlbeSQkEine0hmekknekkle0glelEzhev10a9bzIcfgMWo6ibMOj9b3nEFRUVFRUVFRUVFZWzhXjf0zkYYvuRHrYd6aFraAKDTsvSWZVKjvpV86px208JByoqKioqKirnH7IwFMhJpHI5RaxPT7bTSpGUvtSMdloS6UfP0J8TEVFzGHQ6RVifKlajAZupKOLP7LcZT80XIfdFbZxh1DCTs5VzXhXnXwO/+tWvlND2gjvuuIP3v//9Svuhhx7immuuUdrf+c53+PznP/+y6xDzv/jFLyrthx9+eNqL/o1i6kT56I//Hk3ATflvLqfDq2E891Mq7h+lYUENdUv/kh8P9hPvirGg2UrLygAup5WjTzzCcNt+hufcwE3aMB/82DxWP3eYepOLx//i8rMmJP4xDvWF+LNfb6c/G2fhSif/sHQJq/QOsrc9SWFkgtz1F/H9HrjvD20UBo5RrolyyQc+jk52YDbKhCLdeFNdaGjmcaMDb6mRSC7F6EQK53AaT2ec5EAam0HDqkVu1l9Ti2dZGXuGcty/PcLhfRFKJ6DFYGCWQU+JtoCXDBPhTk4mujgRGWXCpCPSUsXSUC+rO3bw0JyrSE5cgmvBc+xaneWGmy+lN1dGzrSf4YFWnP+zEPtwA3I+zFL3MCvNvXwl8Th1O/Rc/tGLiRud+D8/Srg+xtPxND1tjWQLOVaNV7GpeTvlLQsxafVoywvEVx2j2xei4qiT6g4fptmLcGxcO/3CXk7KDN/Tz9gDQxhLTVR9sg7n0qJRyUyGI1Eeaz1B68Aw3a0TXNQlYxisIIwPXR3Uep5k5bwR6m74ElpngInuGLtu7mH/Uz2MpiLIxgwVHhv1ERu67iHIZdB5HFjnzwa7j7ykxWDTYq8x4qw1Yq82KmK9qPXm0w0GXkw+OU5mz/fJR3oxzv8A+rpLzihIFPJ5srEoqYnQ6xLqhddiNt6uhL3PxI4i4vMb7E2Y3UsxOeaBRs/z0Yd5YPwWfIZyPhz4WypmhCCW4wNk+p5ShHo52oPG6ERfcTEJzUbGRioZPpFguC1BsCephDQ2WHSUNJjJWSdwVmhZdel8Suudr2qcJZXQKzFFgBdlJBJlaLI9HI2SSBct3KbyvCjiu8dNtU8I8G5qfB4q3S5MhrOf2UTcYjK5vqJQPynYZ3IjyjyToRybZe60YC+EUlVseqkQ3z4wzsn+ICf7xpX24Hhser7ZqFdE9ykBvii8O6aFeLfd/Cd/p0JQnxLXp2v5lOBenA6dFmJIiOYiFLhhqui8k20fWq1FESOLJafU4n8obWb25yb75elpMX962cKLlxVCvKz8H0V8FyL8pABv1Jei0fzxa80rISxHp/LiquHGVM42YjwJA5OkItRPlS4lv71Ar7MXBXtjPWZjHWZTHWZDNVqtGvZToI5XFZXzB3W8qqicH6hjVeWtZjgYU0R6Ida3dhffKTSUe3HZzdgsRuXFulJbjEptM59q2y0mpS2K8U14D/JWo45XFZXzB3W8qqic+6ji/DnA448/zpYtW5T2f/7nf/LlL39ZaXd2dtLYWPRYFp7wwiP+5RDzb7755unP1dfXn5UTZd0DX+L9z6zi8fBijJW/R7pzDy1Eqbj+/6MjZ+SR48PYs3nefakPQ30JY6N5jv7mG+TKFiG7a/nZrCzfWuHjjsd6+fWHL2ZTSzlvFQMTCb54124OjgXxz9Nyw5x6Pls7G8N9u5D3daC7eD5/KK3lu786Qqi7C3+4jRVXX0uJfx4Oi4SUSNAbe4ZlhWYe1XiJmQ04bTpkQ56+aAJdMkdNfxq5LUomJlHu0bNhfYC1724Cn4P798W49+kQw50J6jQ65pp0zNXo8AsPzfgox4ZbORrrIaTJsmiijfQ8B0P5z2NzhTl67QFcnXXUP7UOs0fmSOvtIjY6zovn4m2rYdjXxefc7fRIvfwkfYT395dRec0iwkcK1HwzxP3XHMD6xLt4MtJLdb6WFQU9tboXmHXpYhjN4q6xIjeFaZvTibtDT+NRL1p/GZ4br0U742Y+Feo+fjiKa7WXqo/VKWL9mRDhQrrHg4w//1tSO8fY3b2UgZEypEKcXGk3lZvcLFzTwIKqcmq9btqe7eHnt/+OyAkD7okqSvU+fI4M1uAYutEo6DSY66sw15ehd9mRMZEJT152NGAt1eOoNSnCvWOyWAN6NDNE6kJeItt6J7mux9FXrsK06OOKN/3L8acK9Xk5RSZ6RBHqc8luNDorFu9qLN41jOSD3D7yDUazA1zj+xgbXNeeti4ldHekk0zfE2T7nyKfHEVrKcFYfQmm6s3IxnpG25MMt8XpOxLm0PNdZGMoeaqNFj3+WgvuGjP6AMg+maQzw1g2znBYCO8xJfy88IyfQoR1KXM5lFLuchKY0Ra1y/Kni7NvNELULYr1wrO+lVS2UzFY0OtcilhvVzzr5yleosJD+u2UC75diPBCjBdCfH+QgfGoMs9k0NFY6aO5yq+UmjK3IsCLfPBvxPGV5TipbLcSbjud7SUrjSFJQbJScFoMnEKntUwK7ZOCu64ouk+J78LLV6d1nXPn3Z+KCAP12GPF3ELiWWBmeCcVlTcDJVqMHJwU6juVOp3tmjZ4EkNORIgwG2uxGGuLor2xFpOhQjGYeTuhjlcVlfMHdbyqqJwfqGNV5VwiHE+xs7WPtt4xYqliard4KksiXWzHklklVO2ZEN73p0R8E44ZAv5MUd9uNVHpd1Jb5lbeu5xPqONVReX8QR2vKirnPqo4fw5w22238bGPfUxpf+973+Mv//Ivlbb4CsUBGRwcpKWlhWPHjr3sOubMmcPx48eprKxUDuQbLV5MnSgfu+OreH5/LUMlOUbCt1H12AhzlzTgW/AZftDXj9yTYMU8O/XLS7FaLRx/5F5Ge9oZnHUtnzRMcO2fLWPVw7uZ6/Ty+/932VsussRSOf7lvv1s7RzG3JCnsc7OF2YvYsHhEXIP7UI3u4quS1bw779q48jhbuwjh2icN4eFK6/GYZTQ5mS6w9upN+QJFKppz1o4UNCTNOiwmjRM5HPE8hmq4zLe9hih9oRwF2VRk42NV1bTsqWOXQMyv3oyRGtrFE1aZpHLyEIK1GYNmKU8e9q3s7v9aa4IBNm16J0kQkuwz9nFnnUJbvjR5QxrS5mIP0TcNIz+bxfhjLWgiWaYXXqSzfYR/jX+JBWhMi6fVwdlPrTfisDoOA+VTmA4tIkjchcLSxdgOglVuQ7W3eghN5TEXVLA0WRivCxMIZOlqlXEwLXguuFaTBWl09/hqw11PxPp5PNIe39H0LiQZ7tX0PnEKPGYgQmXRKg2RLo2TEudn3mVZWS0bTz1zEO49rdQfWgNhowZqyOOy5TDGo6jiySFao5Wp0XvNGEo82IMeND7XOR1ZrJxHZJIgaIBrVGDo3pSrJ/ytK8xoo3tIXPgFjQWL+blf4nWWfmK586fKtTLmXFSoe2kwnuU7Te7FmPwruL3id/zbPgBWqxLeH/pF3CeIUS7+M6l4BGyfU+SGXiGfDpC2lJDqmQ9CddyJmQrR062MzqeQo5amejNEOvLIo+AIaKHfDHXisGjxVqpx1NnItBop2aWi7oGN+Vu558Ugv5cQZYTJDLHJ8X6oyQzbeRF3nqNVvF4NhrKlGLSi7p8uq3T2TifhfiOgWDRI76/KMbPFOIbKnw0V/uZJcT4aj9VJSKqwp/m+S0QXugiB7vwwBVCfCrbRTrTPZ2DXQh4ZmMVBn1pUWhXhPcZQrzej05r5e2IyJfU1tamtGfPnn1aXicVlbeSYh77XiU0ftHApodUpnvasEakdTAZq7FMivVTov2FHBpfHa8qKucP6nhVUTk/UMeqyvmEeBeTzkpFwV4I95OifVG4zyjRBqfnKaL+1PSk0J/OKg4EMw3lZ9eUMKu6hJaaEiVy3bn8HK2OVxWV8wd1vKqonPuo4vw5wNVXX83vf/97pf30009z8cUXT8/7sz/7M370ox8p7e3bt7N69eqXfH7Hjh2sWbNmevkf/OAHZ+1E+eGfPcBj2fkY6u4n/7MDLDBGqbrmX9iRgReOj+LKw3sv9UGdn+HBLMfv/TaJqlVY7AF+tkLHvzTYuOfpXu7/1KWsqi/hXECS83z3saPcd6AXR7WWQkWWa6sa+LjshF89CzYzmfdv4jtPj/DQUyfRDB+n3JJn/Y0fxSZeTGvyFCJ9HMudRCtnaM5bsVFCj+zkqMZEUqfBqs0TEWGVDQXmhHLkW8OMDmdwWrSsW+lj3fUNJCo8/GprmOd3h4kGM9R5jVxeaaKsN8HvHrmdWdqj9KyqJBX5DHbzCAdvOon/RA3Vz1yEzROmtfVOvB82Iq+6FGt/JX26fv6h8igD8hi3cpKL2qwsv3YxoZie6i8M89DaA3gO30B3MEuXboikzYAuaKQ0aODS+VZWLvMQ7dxP2SVu9HkHWvTYe8bEzxFMKy7CddHi077H00LdB0xUfeLMoe6nlx9oJbftdrSuMrSrPkjXXQ/Qtk1Ld2QFSZ2FaFmQk54uxu1BZG2EjOMpKEywput9VL+wkExfQaSBxlZiwGLXYdHKGLNZNOE42mgcTSaDVgd6iw6924qxwoeh1AMmG9mMnkxUW3QHFD+K3Drs5TnM+a1YHYN41m3GvXwNWsOr+1H0pwj1eTlJOrSLVGgbeSmG0T6bYZuf2yZ+RSqlY7PtI/gKTURSKSYSKSLJFBPJFGGlpJlIJAhHxsilguQzEUXo1xgs6M1eykqqKfP4FE/3wKTXe6nNjiVuJDdcYKwryXhnUqlT0WIObaMIi99opaT+VPHVWTCYzi+L7jMhQpUnFc/QdrLSCJncENncsFKECDWFXucoCvf6MkyKgF+OUR9QwuUXRac/Xcx+o4R4kSvvRJ8ITy884otCvLj7zhTim4VnfLWf6lLXGyLE56QJxatW8YjPTNbZXkWgFwgP96lw2NOhsY1Vb6toBSoqFzKSHCaVEYJ9z2nC/VQue2Foo3jZm04X7cW1VUVFRUVFRUVFReXtinhVLgT77uEJTvSOKx76J/rGGA7FlflOq2lSrPcrtfgd77ar3q4qKioqKioXIv2qOH92PeLf+973YjabX1Wu+Lq6Ok6ePIlef0rAOHHiBPPmzUOSJJYvX86zzz57WhgSEaJkw4YN7NmzR/nc0aNHaW5uPmsnyp994Ajh8gQjA7+k+tkRFi+bhWHux/h+Vx+GgRTrFzmoXFqGzmji5IO/ZGx4hKHmq/mcaZyNX1zL6jtfYFmpn/s+dSnnEuJ0vXtXNzc/c4LSciPRqiRlNgtfKmmi7p49FCIJ9O/fwP1hA9/75SEiAz2UJHpYccP7KHVW4DDKWHR5TBpJySmey8vIeQm9JJGTNUTyOsbRkssX0OYlpLyEVcpiD2UIDudIpfOU2bUsaLFTtaKc7eM6nj6YZGgghV0Hiw7vY6jjMebUZhipfzf9iWbszUfYt2mMzT+6Bo3VS/eJXyMvjaJbacVWeh3ZpIbZrv1c7Qnx9fAO3K5a1mT0+OdVEH0sg/u3g9wxr4+rO/6aapuW3uAxDviTPDs6ysRYBr/OymVr6miM7qf8YwkC4834JyowxEYhHSfvqcb/3qvQ6k8XbV9TqPtQH7lnbwGdAf36T5BtfZjo/ucY4EP09C0mMiyjdcoUZsUZKO3jydCd9KS3YipU0pS6jtqDNvS9OrQxF4asHR169AYdepMWk0eD2VTAkMmim0hgSiUwp9IYCxIGsxa9RY/B58RU7gObAxkzmYSWbHAMchG0VjfO2dX4FtkoWWzFM8eMVv9HPOGFQC/JZHM54uEw0VCQRHiCTC6HrDegsdrRWG3IOj05WVaWjWcyiuAeTaUJJRKEwv2MhweIJNNkCgYimgzhQhKX3offUI7TbMFjs+C2TNZWC64ZbbdJjzV+FGtoG6bxHcVQxJUbMTdci9634GUNBJQfiKEcY51JRjsTjHclGetMMTGQUoRe8TFPlYWShlOCfaDZhtV9YVhdKikD8jFFpFcEe0W4HySbGyGbGyInj09btys5zw2BabH+dBG/7Ize38XbYX5GrvPJnOacyml+Ktf56bnSU5kM4XhaKROxDGMTWXqGZTqHsgyN54TvqpLbrr7CrYSln1VdSrNIDREoQf+isflaEVEG0rm+SQF+0iN+ptes1jgZ5roowFtMxVoV4FRU3qah8aVRUjPE+mLdP224Y9B7JsX6WnRa4RUkrlEa5U9Y22kQxkPaSQMozfT80/rEMmdaFp1ys1L+NEb0OqdSdFrnOWNQpaKioqKioqKiovJy4fRF1LuiWF+so8li2sEyr13xrFdE+xo/TZXCGP7CeBejoqKioqLydqZfFefPHkJsj8VivOtd72LdunVK/ni73a70HT58mDvuuIMXXnhBWdZoNPLwww9z6aUvFa1FDvqvfe1rSnvJkiX83d/9nbKujo4Ovv71r7N///7p5UTO+rN5olz18ZPo63+D/pYTLLeFqbjq33g4laP1eBCvXsf7NnvJVfsZ7I7S9sD3iNZuwG9xcculLr7oLvDgcwM89v8uZ2H1S0N1nws8f2KE/3jwECVuE9aWAj25GO8L1PLu7cNwrA/DFcs43lTPV36yn+Nt/TjHj9K0fBXzFl5MJCZeToPVmKfSXcDnTJPJpUgmcyCBKa8lk9cSQ0NCo0Gn1WDVgFlTQCfLyGmZdK6gvIZ2mgo4rVoyBgPDaR3jHeN0/PwXrLZ2sH3zPLS9H8CuGebgh9qxH2+k+fllmM2dnOx4BP3faah0X0MyVkFXYYR/rt5LsJDg18lOKjQeLp/TQFyvwfmP42z17SNhnMV1yU9DqIArPorDG2VXTZS7Hm2jExmDx0ClI0nt1T2s8fvZFFmLJR5Fm5sgHdfh/eC7MJW4TvseZ4a6z4VzuJZ58F5SgnO5B63+9JfkhUSI7NafQiqKft3HkEZaSe+6A0PTRqKBj9H+fI7uXRnkHFQuMJJp6eCW6L8QSk9QrrkCfdxHfLybWBSycT+aoBlT2IgtacGWsWLPWjGgR6PTUNAVSJrTSJoUmlwKk5zGmU3jzsp4cqDTadHp9BQsRiSDTMHooqApo6C1IRsgXp5mojxBqCxO3Jwhq4jsEjlJPmPesYL4E/OkHHlJiLHC21+HVq9Xis1sVkR1Ia4rIrsitptx6CKYc21YC4NojEmOmPtIe0v5cOXfU2Gqf1XnsvCiz/T8gXTXA+TjA+ictZjqr8VUswWt0f6q1pHLyAS7U4xOetcL8V4I99lUUWgReeyrFzmpXuikaoETs+PC9IwWQnkuN0pGKnrZTwv30hCZ3DD5fPFHs0CIQcJDfKbQXhThT60vk9MQS+qIJvTEErpiO6lX6qn+qNKvJytNGVQURSeht1eWpKguTVMdyFATSFPmy6J7kfYkDCq0GgtarRmt1oJOU6y1U7XWjG7G/GK/GUmemAxN30Mm1zcj5F4ZZlP9ZPjqesUj1qgvP6dD7qmoqLz1iGugkvJCiPWKt30x0ka+kJo2XFLuloqAL+6S+el20ajpT/v/4hKl07rQ615dKYr56nVNRUVFRUVFRUXlrUM8J4+E4rT1jU0L9iJSXiYno9VoqCvzTIv1oq4pdSvvs17L+jM5iWiiGIo/lsgQS2WIJ7OTdUYJxx9NppVw/MJQYKrP67CyeFYFS5orWNhYhtVsPKvfhYqKioqKyoVKvyrOn11xvqen5xWXE1/6z372My677LIzzs/n83zqU59Slnk5PvGJT3DzzTe/ISGL/9iJcv2fP0K0/2Hq94yyYuU84rPfx83tA5iH02xZ7qRkcRmSxkjnfbcwGk4wUn8Z/2APsfjvLmbNT59ifU0Zd310E+cyJ4ej/MO9+9Bq4KI1Ph6P9lJtsfFPQwY8z7WhW1RH4h1r+Madx3n0+U70Yyco89m46IqLqSqrp7PfyMCY8MQFu63AomYti+el6U/2cKh3iN6RMO6kDUumhJGMhVFZi4itMIsCFQUNyWCWjsEYsZSE36GlpdHKSKCE4Qcexty+HV2DFYv3Bo7lqjA1d3J0fR+LfnodlW4bR3f+gsJ7JMpne8iZLyec1TDHvptr/WF+PNqKzuunMqdj+bxqRgZkSv61h++te4bZlSv4mP6LhJ7VIQ0k8OaDlKzOsmPXNp7o99LvMTNuHyBTNkSJpcAm7xw2uSzMsSTJxQsYlq3GfdG8l3yXItR9aOsYoadGSbYn0Dv1eDaW4LukBEvdqbzehWyK3PO3kh/rwrD6feSlJKmtP0JXPhfr5i8iySa6dmQ4sTVNsEtCb5Ppq97KwZLfsGrhYj7c8mGsPY8jBVvRl60kW3I5A0ej9B0Ypmf/ECNtUbIpLWhNGG0ODEYrWtlEXtIiZWUkWSKnySBJSRGPAkMhhY0EjkQMay4HFjM5vxcsZWglP1q9AW2JBl0zGFs0mBt1mEx6jHodRr0eg06LUTc1rcOo02EQYzOdRI5FKcRjGMijMxrRW6wYLFb01mKtM5mnhQEpPUwq+DyRiR0M5ro5rs9QX/4+1vne90fFg0wmw86dO5X2ypUr0UWPku58gOzQ84pwbKzeXPSm98x+zeNDXNojwxkGj8XpOxil71CU6EhGEUBKGmxUL3JQs8hF5TwHRuv5Hwr/1XndRxSRPpMdor2/j9FwhkhCQzRRUEokLkqeSEImHBe52QuTnqLiGGrQabS47GY8DlGsuB0WPHYrHqcNn9OB227D6yz2izB3yv9FIp9Pkc+nFZFLhJNWpgvFWpkuTM6f7Beh+/OFzGmfE/WpZbPodLbTBPipcNQ6rRpK72wxc7yuWrUKk+nMkUZUXjtSQSIijRPKjRCSRglJI6fauRHi+SglhgqqTI1UGRupNDUoxXyGCBgqbw3FnxNTQv2kkI+spHARLZCnlxHCvujPF7LIclSJ8iHlI8VaCiPlRV94shTnF9f5cmK+e9ID/1S7kLdy9OgJ5f/OmTMLvUGjrEMYIQhLzKJhljxpmDWzPVmL6ZnLTfcXp6ciDIgUKka9H4O+ZLottks1HFBRefWo91cVlfMDdayqqLw6ZDlPz0h4OhS+qEV4/Km0dk1KJD0/tQEP6WxuUlwXue4zxJKiZIlPtsU8keLzTFhNBhxWE3arCYfFOFmLaSMmvZbdB1o5ORRFFgb/Op1iHCCE+iWzK2ipKUGvu/DfA6monA+o91cVlXOft404Hw6HyeVy+P3+N+3FlvBsf+KJJ5Q88seOHWNkZIRgMKiEuQ8EAixevJh3vOMdvOc978FqfeUXwSIvvRDgd+/ezfj4uLIvK1as4DOf+QxXXnnlm3KirP+7L+L/VZB17gi+y/+NO5Npeo9PUGo18N5LfKQqvPSfGKX9kR8TrL+MBpOJH99YwWdycR7bOcQzf3UVs8tO97I+FxmPpRWBfiCU5OOXNfFEuoe+ZJy/yrpY/1QHWr8L/Ucv4a59E/zgrsMkR/uwxPuhIOGormPJgibKyhoZTZQzNqEhXwC3q8DyOTrWLizQnx5gx0AXOwa7iEbyeONVSOkAKcmAPQ9zkSlN5xnrS3OoPwUuE40NWQYe/T2bjJ08fdkGCicuxS2Ps/8jbdj2zaXl2Fzk6G5G4ttI/oeNtcHr6ZQ99OnG+PuKbcS1Wh5tPw6zS9joqcTihOwdCTQHB/j1xSewmzz8f2u/jLzTT99DcfIjCfy+MEnTE7R16Bh2XEyfeYzh2buYCMXIRT2UeSysdWhZ7TPR4K2h9H2b0VrObDWb6k4QenpMEeuliISlwYZvcwmeDSXo7XoKeRlp993InbvRL7ySgruM1BPfRusMYL3879Fai/nrJ/olTm5N0/FCmpFgkMHCCXKuIAtmzWJZlQVr9hmcpeBddQMGb53yGSkjMXJonL7tgwzuGWb8+ARyNo/ebMJRW4K93IPebicT1xJqT5OJSEgpmXxawlRIY5NCuBjEkIugt8iY61wUfI1k5CqknA2dWYNvvgX/Yiv+RRasAcOrylGfTcSRUklyqRT57KT3tVZbFOunRHuLFY0+RzK8jd7R3xHNDpO2lrG0+vN4HPPP/F2nUjz22GNKe8uWLdOpMPKpIOnu35Ppfoh8chS9Z1bRm756Mxr9y6ffeCUiw2n6DsUUsb73YEQJka/RaiibZVO86kWpmGe/IPLWv5jRiTj7Twyy78QAB9sHiSSKx1HcZkRuOI8oTgtuRXy34hHC+2QR890OMy7bKYOMt5KiSKU5J7bl7cTLjVeVVye+h6Wx0wR3RYCfbEfk4IyUFODUefHqA3gNpXj0pdh1ToazfQxkOhjMdiNPiqMijYgQ7IVQXxTuG3Doi/cglQvNuCpeFO9nFHmqPSXsK2L+1DyJUGhC+bzX60GrLd7XipdNHVqNQTGCE20Rll+0lTJzWkTzmW4Xa8Q04nMFJYJJThonK4mUKsVzsvg/dJOC/alinBTvhYhv1PtUAV9FZQbq/VVF5fxAHasqKq8fIcK39wdPedj3jjMyEVecRISYXhTVTdgtRkVwd8xo2y0vmhbFbPyjHvgzx+vCZWs41hdi/8lBDp4cJJbKYjHqWdBYxpJZlYpgXxNwq8+mKipvEer9VUXl3Oe8FudlWVZE73Q6TU1NDaWlpS+xEPqv//ovbrnlFgYHB5U+IYxfccUVfOUrX1Fyuau8thNl3cWfZm7HBGtXLaK78V3c0T6EZTTL9Sud2BeVkZCN9N77I0bSEKrZwL/7ItT+9SbW/+hxtsyq5Ofv38D5Qior8dUHD7GjfYzPXjKbuDfF3X0drMka+cud41ikAoYPXcJhjYXv/vII3QMRCsk4ttQYkcgomVwaq8vO7OY6fCWNxPK1pAs+kSoV4YS9aq6ODQu1hOSQItRvH+ji6EgMY6SUQqYMjWTCBzRGMxzcFkLfUIqn/ffUOXIMG9IE7NdyNOVA0zJM3/w+6n67hdlODYdeuAP5c3lW1s2jP7WcUTnPAvs2rvbH+dXEKLqJOJlmL9dW1DCez1LypVEkTYJblu0j4zHyb5f9I7Mt8+i4J07/wzF0qRR6+15i0W1Em2+gNWgk7+vHXXaUoU4bXR4DyfEkHoOGpW43GzctZ8WWRRheJrRVXsoT3Rcm9OQo0b1hJZ2sa5UX76YSHItd5I89gXT4UXQNK9E0riL1+DeU/LLWy7+MznPqAiXnCvQfzDLYEWfbod309ozjTFZRYarClImhKSRxVjpwN9bgqtDjKtfhLNPjKtOhM8gM7B6mf8cgQ/vHCHdEyMsFjHYDgYUl+FoCmH0uclkDvdtijB5NIsUldLkMlswE9uwIZimIwZTBXGPCVFdHztxAIuyCvAZbuQH/Eisliy1Krnqd8ZUjWoiw97lUsijWJ4u1lE4VcyWI1/cmE3qLiWD2EKOxJ9ATxuecR1X5jRgdc077wSMMkaaidtTW1mIwGF4iwuaGdyre9LmRnWj0FiXcvRDq9a5XFzb/5VBSGgymJ4V64VkfIxXJodVrKG+xK0J9zSKn0tYZzr88wMl0loPtQ+w7Mcj+EwMMjEcVUUbke1869QO0zK14uJ+tSCYqFxavNF7fzkiFHBNnEt9zRS/4qBw6TXx36Xx4DQG8+qL4PtUWtUdfgl5j+KNC/2i2j/5MB/3ZTkWwH8h0ks6nlPlOvYdK46RYP1mE0K++bHr7oIT/zEzQ29etiO81NXUYDZZJAV57Vv6fMAwQQn1RrB8jJ4t28NS0FDxNwNdq9Bj0vkmPe9+keD8l4Psx6LyT6VcuPGM5FZUXo95fVVTOD9SxqqLyxiLJ8lnzXn+58SoivrYPBDlwUjguDNLaNaJ45nudlqJXfXMli5rL8btORdBUUVE5u6j3VxWVc5/zUpwXqxbi+ne/+12i0eh0vwjfLPpEqA5xAbr88svZunXr9GemN06jUUT6Bx54gM2bN5+tzbwgT5RrKz7EZaUxHJd9hZsjMSJtUSq9Jt650UeqzEPfkW7an7yd0cYrWWzU8L2PNfORkRGe2T/Kji++gxrvq8t1fa6Qzxf48TNt/GZ3D9cuqWbzigDfaTtIMhbnnw8mqR9JYrhuNdqLWmgbTLJ1Zz/P7hkiGExgyiaxS1GCsQnGYmFsZi0+jx23r56srhatrQaTzUVlQMPaBToumq8nS5Kdgz1s7+9ia/cY6ZAHYzYA2xJ4Uxr0hhHso1SQAAEAAElEQVTc40fYsLSC3TYv4Y7FePIRDn1wP+5nVtOUqibS+gQZx36SX6vn4hOXclDjYtQ6wl/5t5LVOXikuwudV0t5TRVLbAY6tWaa7wxhfi7Iz5v20Vkd43NX/RXXNl9NfEjixPeDjOxKU5BHkaXHsV9czU69m/FDBsqc41SGxtBfU0bP8AT7OiOMJsFutbNueRPr189laUsVBpEo+wzkwlkmnh0n+OQY6d4kBq8B78UleOYOoGn/HdrSRnRLriH15HfIJ0JYt/wt+rI5Z1zXieBRbt7/HfoHR1lvu55VqQaS7X3EY2UkpTkkIsZiZFzAaNPgLBNivU4R642WHMnhIBMnh5hoDxPpjlHIFzBYDQQW+HE3+ino7MRGtQzsTZAWnuE5CUMshCU1hi0zisGYxuQvYJ9XASXNJOJlZCOgNWrwzbPgX2KhZLH1Fb3qX+xhLwT6KdFeSqUU4T4npQlleijIYay6DDazA6tvNlb/QgwWO5rXIArLyREyXQ+R7n6YQnoCvX8B5vprMVZuQKP703OHiWtvsDdF34EofYej9B+KkY5L6I1aKubYiznrFzkJNNvQ6bXn5A/btt5xRYgXPzKFNXq+UKDMay+K8bMqWdRUrliaq6iovLZrQ1SeICyNMyGNKh7wE9PtYh2TItPLK9EodP6XFd/diviuf8O3MSgNFwX7SbF+INtBVAor80X4+2nvehES39hAwFiDThU+Vd4kigK+8LQPTor14zME/DHF+/7FAn4xdP/McP0vrQ2i1ou2G61GGCCoRigqKioqKioqKiqvjkxWUgR64VUvSsdAUOmvKXWr+epVVFRUVFTOZ3H+k5/8JLfeeqvSfvG/cbvd7Nixg5/85Cd8+9vfVvq8Xi/Nzc1IksTRo0eVsB4C4Wnf1taGy3Xuh1k/V06Uz1a/i41rVrCn/ioebBvFGpR4/zonunnlhNIGBu/9HiN5G9GKVXyrKonrLzew8Xt/4LqFNdz87nWcrzx0oI//efwYS2q9/N075nNXfzsP93Xy0eMJtnTEsaxqQX/pYrQ+hyLoH+qKsPX5bp4/NEYsmsZPFqsmy3AqTSgVxZANYtJp0eidaCy1mBy1OEuraW5wsmGRjhWzDej0MvuH+7jj8DG2P2bHujsGbhuVHQ+y/JIFxG0esn0VdCRNFOaMEywLUbJtJfXGCG077kP+F1gdWEF/eBFDssQy/1YucaR4JKWlsH8/4xvquNhbi9mY4ajDibMnxcJb+7g/sp9dFX1cvekqPnvxn+PQOpjYn+TYf48Q7MmQy7XjXDtAz41Z+m6vJddhwRsZYeFmmabLnAT3D7KtO8ueuIHhfB6b28bqJfWsW9zA8tlVmIwvFU/EOE51JAg+OcrEc+PICRn3vDD+qicxVJZiXP9BUtt+ijzchuXiv8DQsOaMx0nOy/yh835+ffQWDFojH2q6kZWRXsiE0Va9g5R+NdHhPNFhiciwTHRIJjosk01OuV4WMDvBbJcppONI8ShyLERyaAI5I6Mz6vA2e7CU+pEkC5FBDfGhHHJawiCOa3gUW2IUoyaJwZ7DMdeDeXYzOX09kW4lFS7WMgMlQqhfYn3VXvUv/q7yuSzZZJJjoe0MBvdTlfXiybuUcLpagxOjI4DR5iqGxrcWQ+NrX8FyupCXyA4+T0Z404/tR2N0Yqq7EnP9NejslbxRiPEx1plUctUL7/qBIzGyKRmDRUfVPAdVCx2Kd31Jg/UtEevF99s/FmFf24DyI/JwxzDJTE7JtbZIsfiuUET5Mp/jTd82FZXziXQ+yURuVBHcldDz0mgx/7s0pkwLAX4qjLxAXLOF0O7W+xUvd89ke0p8d+n9b7j4/nqJSiH6FaG+c1K072A8N6zME9tYbqpTcthXmOopM1RTZqrFoXO/1ZutwttdwBfC/cSMMP0z66kSmY5GMdMb/yUivhDutZO10lfs12ltaDXnRqoWFRUVFRUVFRWVc4NwPMWhjuFJp4cBRicS6LSaU/nqZ1Uyu8av5qtXUVFRUXlb0X++ifPCE37Tpk3T3u9XX301dXV1dHd38/DDDysh7kUO9rvuuot4PM4PfvADPvGJT0y/JBLC/D//8z8rwr3o++///m8+97nPnY1NvSBPlB8vvQ795n/je6Eo0okY9WVWrtlYQsLvpG9vKx3P/ZbhpnewwSTxtc8t5T2t7exoHWff315HwHl+5zbZ1x3kX+47gN9u4r/evYwhOa540dcfH+UTh6JYChoyfjvRpgATTaVEy5wkZZnO9ihde8do70qTy+QJ6HJK7u1eSUM0E0afGkSORMhLOgxGHyZfFZqAB5qMaCoTmC15Th6N43rUT0MOohNtzM2fYPnH3sfoUIZ9reW4CxmO3bidwOMbqXZ7GHzqQYy1hyj812rWdK5iR8JFxt7Ph0ueQdL6eTKYxnTsEOnr5nNdyk4eLccqrAjn8qZtI3Q9sIfHTEdZVjOfD33i07Q45mPAwMDPh2i7Y4yJaBpN8xjSl0+Qa3XTcVc16XaoKxth7RftBIIhpP4EvSkfhw0mdo6G6c1kMTvMrJxfy9oFdaycU3VGK9l8Nk9kV4jgU6OkjnZTWvc4Rr8e3UUfQZ95mlzH85hXfRjTgqtf9liFUkFuO/QDtvU/zVz/Aj7imUcg1IbOMxtTy3vRmlynh6mNFSbF+lOifUQI+AMSci6P0ZrH6kyjy0fIx8ZJDEbJRHNodFpsZR4MTi/ZjJnEOMiZPAYpiW58DHN0FGMmitEsYW0wYl/UgK6qhWiviXRQQmfS4F9kpXSFldKlVgz21/5DZCjbw+0j3yCdGOJ61lKS1JGXzWi1lRTyDjRa8ZJci85knhbrlVz2VitaveGML9DlWB/prgfJ9DxKIRvDEFiueNMbyteg0b6x4phIJzByMnFKrD8aQ8rk0Rk0+OusBJpslIrSaFWmhcf92fihKPLGixBsQpAfCyfQ67TMrStVhPjFzRU0V/nUMPUqKjPI5FNKvvaxXP+0x/tErii6i/ZUOHiBVqNRQs4L73aPQYjuPkV8FyL8lABv0drPa0EvJScYzHad8rLPdjCS7Z82QLDpnJQZqykz1hZrQw1lxhrsOjUPo8q5g0h7I+ejikifk8JI+QiSdCYxv1jLM8b5FOJ01mqs6LSi2NBqLUpbq7VN9lmm21pl+sXLFudpNKazOjaKP1VlCiKskrCe1GhFEqGzkqJARUVFRUVFRUXl1DPYcDCmiPTi/cuh9qHT8tXPqS1lVnUJzdV+NUKhioqKisoFTf/5Js5/9KMf5Re/+AWBQICnnnqKOXNOhbg+fvw4l1xyCWNjY0q+m7/927/la1/72hnXc+WVV/KHP/yBSy+9lMcee+xsbOoFeaL89r3f4pGaS9h6dAxbtMDH1tmQ51czGNMxds93GDSUki5ZyA/m5il8dBWbv/cY711ez/euP7On8/lGbzDOl3+zj1RO4t/fuYS6gJ0fnWzlub5uGocSzO6PM3sgjiUjkzDr6ah20F3jYrDSTUGvQ9OZJdOWZngYZFlDqVEGs5UhsxuDdgJ7boTU0CiR0ThyToPR7sdWVoFhqYWTxzV4DxRwGHOUdT7KJWuq0G56N4MHkhztM1CYO0LSWMDT04Qz0sPQ8cdwfLWEiopZRAaWMyRlWOd9jKWuDPtjPqKtzzNW6ca0cgE3hXJkszBgt3OiUqeIy5pf7eSxzj3Mksu5/qprabpsNbXaOqThNCe/0sqJPRNkqp1oNwWpXDtA+5Nejt8ZQJ+JseamJMsXpKEvQrhdwr10ERMmIzv6x9gZjNKZSGG0GFk6u5L1C+tZObf6jA/d2fEMoSe74fDtaOVxosktOGYPYdI8g2nx1YpI/8dCuB8c2cNPD/wPo8lh3lGxkatzacR/Mc16F/rSJa94vHPpAiNtWYZacwweyRLqzZGX8th9eawuIdZHkSJB4gMxkmNp0OjRWV1oLf8/e/8Bbkla33fin4onp5tT39Q5zvRMdw+TYYABBAiQZEAooLwre+2VtF6k/65lr+x9VralXXtXtrx/S0JgIQRCgAQaAQMMDJNnumd6Ooebcz45Vdznfc+5oSfRwITunvr28/Ybqs65derUW1WnPr+Qpl4x8H0N3bcxiivoi8uEK6toikuoUyF5UzeRvfupVjIUxiz5MDuzL0zn0RgdR6JE2q8+/L3tWTyw9mm+m/s79ocP8T6Osjr2CAYVkskuNL0PRekGP43rmOA1Ts8CzutbYL2oBcRffxjuO3Ws2YepjX8FZ/UsariV0NB7CQ2+Fy3awWsh1/FYuFRm6XKZxZEyS6MVGRZfpBlQNYXW/oiE9Q1oH5Ue9sLY5YcOsXZpltG5NTk+2JXhcDPEmvhRGDaDfEyBXnsJo8L1FDz33nuvNDy81jzgF61pFqwpFqxJCeRFLYD8umJaYgO0Z7Z6vwsQr7WR1Fve0FDvvmtJQyPPLuGvF6uIb5cbJFHAOAnklEYu7vUxGuMS1skixsXnUF4w/tKvd1WNrFJh0V9jwZmV+3DRnnoBtE9ISC9Kp7GNbnOATnMbCS0TQPtrUNf6fH295Xl1HLewAexdr4zrVfBkXcXzKo0xf71d2RyTbetl31tC/g2gL2C9SE/UhOl40pDgihpPQnZ/Y2x9PfeKZY2xl/+Z2ph2AtJrTVivy7muoMv5L/tNiL++nBes1zgPrL9eQ1VCGHoLht6GobU1260yvUAwz187BfM1UKDrQ8FcDRTozT1fxfP7yzONfPXPj8xzaXqZcs2Wy7pbE+za1iZh/a7+Nnb0tgbPaQIFukoF19dAga59XXdwfvfu3YyMjPD7v//7fOITn3jR8j/4gz/gt3/7t+WDjlOnTrF///6XfJ/Pfe5zfOxjH6O7u5vZ2dnXYlNvyAPljz9xkv9nIYc2WmZPf5R33tVBqSXB7BNPMfLMt5jf8T7eF67xu/+/u/ngY8/z3KU1Tv32h8jEbhxrx3zF4ne//BwX5/P89o8d5L593SzVqri+j6mqhFAxZldRzk7jn5/GW8qL5J5oO3tQ9/ej7dtGxTB48nsjPPz0DCdm6tiuT3dMwxFQt6WLPd3Q6q0wKeDh86NUazbJD93E9FdgUNXxJh/jDu80HT/+cVJ7DvDIoy7+qsLE/Y/R/cQd9LSZjHzja2R2Pov6b+7nYOEwT0+mSIQmeU/Pd3DULk5esNCf+A4Tv3YL+uAA9xc1unMFavkEZ3ZFyCfqlM6f5bm/f4ju5QQ/HX8b0V/cwc49t9Dud5D98ihP/5/fJLtvO4bSQeexVdQ9s5z4T9uZft6mZ7DEB3+tTKpSxl4oU12F2MEDRHu7WVzI8tRynqdyBS5li2i6JoHonYcGecv+ftLxK6MseHad6lc/iT12mpWRozjlEun+BzGGbyP1U7+Jnoq97PdluRZ/d+lzfPHCZ0iHUvxcag832WX0zlsJ7fwJFP3qIzpUcx7z5yzmzloS1pdXXfmwN9XtE8/UUd0cVjZLcbpEcbaMY4fx1Ti+nsBXTHEYEFXy6EuLGCtrGF4dLaIQ2Z4hvGsXSqKT0kLDgSsxYNJxNEbn0ahsX83D2wuVE/zl0v8lU3j0jxyl3+7lrmODKM4sdnkMz87i+wqa2YuqDYLSju/FcWoWnrDOECdvVUOPRDZgvRGJyb5bGKcuvOmnHsR3a5i99xLd98toiVfnovFKsusuK+PVJqwvszRSYWWyguf4DaOGvghdO2O074iSGQyhtSoUnTprhSprhcqW0ujPrRSwXY9MIsItEsb3yrxnrcnoa/5ZAgV6oUREn3Ujwfvvv59IJPKGeX4v2lshvIDI0xsQXsy1Fr1zAx43gPIAHUYvIfW13WZ5S+lU8exiE6qXroTtzbErlm9ZB/dlAKA8ryqNk+5rLMWIyXQhqpkEM05VUyiqDlm1xppaZokci+SoaiqWrqOFUrRGhmVI/HUve5HPPnkNQnvx/bjin+/g+nazLYrdqBHjojTXwSGixqQBgogocK2kK7ie5uuNIgHON4H9Oryv4nqlJtzfhPyeLwwZG0YzyrrhzLqhDA2jmcbyde/3rcubfeUF621Z3oD6wmjGbQB930Ec2XJMAn6nCfrXl6+v6zTXXTcEaIw1XtNYT3wm212T6QW2/kIWKQMEpJfQXoL7li391ibIF3P++pkj15KC+Roo0PWhYK4GCnT96PWYr+K3hXhmc2l6hYtTy7IWOestx5U/34RTxc6+NhkSX0D7wW6RXikIhx8o0AsVXF8DBbr2dd3B+UQiQaVS4bvf/S533333i5Y/+uij3HPPPfLBpVgvFHppKHzixAmOHj0ql6/noA/0/Q+UD//Wk5w8nyNegX9yT4zivn6mcgorX/hD5mJDeJld/OntIVY+cIgf+6MH+YU7d/IH7z3GjSbb8fiDr5/hW2fn+YW7dvBzdwy/7MNybzmPd24a99wU3tiiuNNEFSGy9wlQ308hbPD4ty/y8HNLnFp18XyVtrhJJdpCqL2Nm7o1/u6Tf0VbTx8XYxlCZz267FU65h7irW1VjJ/+N7hRg2cetaj0TlCtttDntFO6eJq18mMc+52jLO0OUT9zG8t+hXeE/56Bdpspfxf55x6m/HejTP3mXbhv6WTICnNvvkho2WTRbefSoTIr+XlO/P3f0T5l8ktjtxO5swPzZ3awt+0QoUmFJ/+3/8z4bQrx4/cSDcdJHJ3Bs3r59h8vU7Xg6PstDh2p0FJahUINu6oQHhomMrgDd6XKaqXG8UpVetSfnVuVnOTQ9m7uPDjAHQcHN4Cp8IJynvsKzvnvUddvJXtKxyj9Ja6ToR7+KNG9e4jtSxLfl8BIvzhc/nxpVnrRn1x8hiOpYX5Gi9MmPMH3/DRaZucPfAyIU5zIVz93xmb+rMX8eQur7KHpPpltHolWC9XNU10SsL5MdrxKvRLGcaP4WhQ9pBExq0TqKyhLeUKlEpriYaTCmNsH0Tq7sGoR6Y0fbtfpPCLC38fI7Amj6i8PZopujs8u/AdO5h/noHEHH+v/H0mHWuQy18pKSG9VxpqwPicfUuvhLrTwMKrah08Gt+ZgVyu4tVrD80wR60RkWHzd1PDzp7An/gq/tkR4+ANE9vz8FakCXgtV6/YGZF8tVFnJlpmeyDMzlWd+ocjyapm1YpW658j1jZAq89hHYwadbTG6uxO0t8VpSUal9fXNO3oY6ArCSQd64yWMaRYXF2VbRAXS9dcWwlTc0hYIvwni804jgoSYEq1695Uh2CWE78NUXxtDO3E+9apLeKUZ3NIsbrP2yrN4tTUJ2l+UCLspYWClmAkUIy6LutFOoJiNWhX9ZlusK/tGArRNwyd527rubesJ6Nbob3jgSkC3dazhidsofhPUNd+j+RrfqeJbBTxhMGDlX9Au4lkF/Hpe1ni29Ai2fQvLq2H5dVnKqktRc6jqGpam45tRwqEOIpFuvHCaeiRFPZLAMsL4ingHsS3CQ1iiQrkdXrPfgIeN2tvSbr6q8T1Iz2L/ZaH6S/XF+/8oEoA+oaVJ6hkZ5j+ppSW4F30x3hhrLFPf4JDjr/d8DXRjSUB728liu6vYjigrW9rNvrOK5ze8xYTEKUrX0hjaFmi/Ae9Fu5WQ0R0A/JdQMF8DBbo+FMzVQIGuH71R89V1PSYXcxLWX55ekd714/NZPN/H0FSGe1ulh/3uZjj8bR2p4FlPU+I3nnieVijXyZaq5Es1mdqxUTfahXINTVWJRUziEZNY2Gy2Q416o79Zv94GEeIYqFkONduhVrcbbcuRkTENXSWdiEhHL7FtwXffUHB9DRTo2td1B+dFzt9X8oo/c+YMhw4dkuu4biNk6Evp7NmzHDx48PuuF+jKA2XoY98kOlHn8PY4d93ZSS4ZY+l7D3Hp1JPMb38/H42W+a1/fT8/9sATnJ/Kc+a3P0TiJfKK3wgSh/hnnhjjzx8Z4b69XfzsHdsZaI294k2AX6njXZjBPTsla79uo6SiaPv7UfduY01TeeyRUR4+s8a5ooavaSSiYXJVn+z5R7jpvW/lkQfL9Jga6Qvf4J7oKPM97+HYB9/LggeXHncYP3iS7ov76TJdzj7+XfbfOkPlN47RygEun03TER7hnu7vUFF6GammaH32H1j65AJr921n5bdvJZ7QuLPsMZR3Uc90ce42h0lzmUce/jsicxb/9Nxb6SxHKf5Ekpb372OHvotn/9snubj7BO2fuQfDPIyPSt+xVp776gUunPJw1BCJLo2b7yyxPTFHq15E1VXUjk6i2/fg5xW8ik3R0DhRr/PE/CqnxhbkjbbINyVy1N91aJCOTBzn0iM4z/4tat9BnLZjVL/1X3BWZyit3kNhWhiCqIR6w8QlqG8UsyO08Z09Ofs9Pvn8H1GqZ/lQfID7jSSRbW/DHP4xFNX4kXKnr4470qtehMFfGrFlvvpQDFoFrG+3UL085bk8uYkSyxcdakUdjyh6JIxuOESUPFohh5arE6lX0EwFLdOO1t2NH0rjayahNlPmpxegvu2mCHr4xaBCfM6ni9/i71b/THqDfajtV7g1/rYXHZsvD+u7MWLD6JEhFKUD1/KwKxWcakVCezwPRdMIK6O4E5+W7xXZ83OEt/8EimZubINlu9Rth7rtYjXrmmVjO6JujjdvruW6cqxxgy1+IGz1fK9aDei+rpCh0ZqK0pKISuAuSiYeQa9p+FlwFj1qsx758TpOvXE5SnaGZO76bQeT7H9nO2Y0sK4O9MZKzJNVZ4EVe34Djm5A1GZfwtVmfytolfBX9re0JTDeQK2NEd9j1Vlk0Zpi3pqk4GTl3xangzajR4ZSXw+rLsprBeFfCcC7pTkJpxsbpqLGutHifWjxXplOQ0J1CdjXwXqjLb3R1RvjB6ZIIyJhfbNsbTtWjnJ1llJ1llp9kXp9BbeexbDr8rXC+9dTNWrhGLVwXML6ajiOFU7Idj2cwNNNeT0Q1wFVehErEnTLsWabjZ7oa6ho6IohUxKIvo5o6422SOPCeru5zsb6eqOIf+vtLX3xGhGpoehmpUFZwc1Schr1xpiTlSkVtkocszE1RVJvwHsB7jfq5piA+DEthaGY8jgW2xg8nAl0PUlGovBKG6D+CpAv+43acUsbr9FU8SDyIPHIzSSihwkZIp1RcNwHChQoUKBAgW5ciedHo3OrEtave9jPrhTksmjIkJBeeNjLsPj97XSkX/l57fUk8XxNgPV8uUau2ADtArwLAL8O3tdBvCgi6sBWid2QjIZIxSKk4mGSsZB8rlCuWrKURF1rlJejO+KZXAPch14E7gXcj0dDG+2wqcvnf+I7q1q2NBYQ7cZzQUf210G7qMXzv7q1OSb6jnt1BuG6ppKKhSWsb5HAPrwB7kX0zEyznU6E5Xo3yjERKFCg61Mz1yucP336NPv27fuhoXsA53+4A2XHO79KyjH4rbcmWNndx9iyz+oX/5CZ9F5CyX4+/e4Ml+/azgf/+Nv8+n27+TfvPMKNru9eWODf/8MZarZLRyLM0eE2jg23cctAC7HQy8Ne33WlJ713dkp61ftrJRRTR93Vi7q3l2XH5ZFnZnjwUoWRio5bXMWrrlDtO0RpxKYvP86u7BMMtJm0H/vneLsSlAWgnz3P0lo3BxJJxh55nKXBcX7pg3fxyFuLWI/fRkkv8Tb9S7S1O+S1oyx6owxVphn9rbOUHJX5f/d27NvT7PQ9jlYd0pcSFEsZnr9tlgcf/zqFlSX+mfV+bv5ulFKrTeXnW+l7yyGmz3+TidzTdP9fbSTecReF80NEQz20H/BYGL3A2e8ssZyNYxtJEu0KB7fPs711kdYuH6MthtE/gOZl8LIeGDq1tjjPVms8cXmOE5dm5Y2YuKkWoP729hrtF76Emu5Gv+PnsM59g/qpv0NJDONkfobyWITSuQK1qUZUDLPNbHjV72/Aeq/D468vfJoHRr5It2rw8XAXe1v3Edr7s2jxnlfluLgiX/1Zi+yMI/OmJ9qhZZtPst3Cq66xem6VuWfzlFcUCeq1SAJV81H9GiE7h1qyMSsWIaeCHo1DvAUl3YZvRDHT4rtPNPLU3xojlNY2rGKzxSrZ2hpfW/0cZ4onGDD2cl/yHxFTMnJfirDuwvJUgHLX82Vt1YvUKvPUq4vUK8vYVgXHU/DVJL7egqdlZNu2fEq5HJVSBU/TsCvTVPPT2IRxooM4ekbeeF+tVEWRN+uGoRE2dEKGLm+U16F7S1LcVEdlFIX1fiRkXNVNtOf55GZrMhy+CIu/OFJh7lxRetbf/P5ObvlAF5FUkLMs0Osjx7eZro8wXj3HRP0C47VzFJ38q/o3ZLrzBl6VfQFi00b7Rmj09dJu9L7qEH4TwK/D9+8H4HslhFdjvZvtaOcNA9xfawnPfLe8gFeZxy3P45XnGv3yHF55Ht9twHshEVJfXN/UaDdarLux/2Xdgxppvyb3ue1ZEtQ3SvYFEL8xJmsJ8l86Cpb0OlZMCeuF4YApcn8rIXS10RZjYpkYM9TGeo11N9uGKl6z2U/r7XIOvVaRJAIFuhp5nkiLtYbtiLysFyhWnqNcOyejeJh6K/HoYRIS1t8sPe8DBQoUKFCgQIFudJWqdUZmVqVn/cWpFS7PrLCcK8tlAkLv6W/nph3d3LSjh6Huay9d2AslnuudGp3n1Mg8Y3NrTS/3OpX6ZpSldcXChvyMAriL52npJngXcDolwbSA8KIfkWBeE3k3r+L3faVmUxKgXoL7ugT3jVK/AuTLeh3u1xrLyjX7ZZ//hUM6EdOQ7ZDoy9Lor4+J5ZvLxGsM+cxwY3mosdy23YaDT7EqjRVEO1essVasNIwYSlW5L1/4nFJsi9hHwtFH7jNZN4C+eAbZAPgRQqaGoWnouoqhi7aKaWgy2sC1fgwFChSIqzrXFSub6XHF+WJVRu4V7UaaXHFuEUZHPa0JetqS9LanZGReUSeiP/yzoQDOB3D+BzpQ9r/lq9yxN86td3SzEomy9tADXLh4msXh9/GryTK/9vvv5e1/9R3GF0uc/e0PETXfHNBLXOBPTWd5enyFZ8ZWmForoyqwvzcjQf2xoTZ2dCZe9qItvSUXc01QP403tSTH1f4Oih1pfvHry2BGmb98nP49OzlzIUbYrLPz/IPc3zLDYwMf5Z0Dd7G2Q8Oz4HsrI7RUM3RNW5waP869H+yg+FMJsvl+CqPtdGdOcXvqcZaVLgrqLvZsW0LTF7j0z06z8r1ZSu/ew9y/vJ2WdI23OC5deZ3kt3oZv2+az44+wtTMKO/ZeR+/8Ogh6s/OUzyoUP+FTnLtZyg9Nkrrv9Ho/sQQpdV9WCdvIxQNs+0+A82Y5vxXznPxiQJr1Qw1vZVkrMqBgQV27imT7tcwu5KoRitKJYbiGmitCezuFM+uFXj09CQnLs7I/T3UYnKbcomb2zx2v/XH0RIpat/7z/iVHOFjP4ux9524JYfS+SLlswVZV0ZLMhKxntKJ7U2S3bXG59VPMVo/zR1mio8ld9C640MY297azEf66qmab+SrF7BehMEvr3kIFtK1R6VrN5h6gfnj88w+vUBuqo7rhtGTIlR8SBAYGWVBdSvUa1Vsv4xFnWIkLNMilEyVStjFSrvUUy5+zEczN7e/7BZYtmdlKOJWo5O03tbIs7wVXqiNm0xhZSpuOEVfUxwUv4zml1C9IqpiYahgmHFC0TbCRid+tSJhejIdRs8/hVq4SCTZSXLHjxFr2yVvWMVyCd91rXETbegb4+Im9/UOh1VcrnPiywuc+lpjnh18Vzu3/mQ3yfYAtAR6dSWg4Xjt/EaZrl+W81BAwIHQbobCexkK75M53IXnccNvuQHXxcQUYF22Nzybt/o2N/Imb7Rl/+p/GMrbNNfCF8BchFQXFw93vd4yLvK1N5dvtu2NdUTI+ZcH8F1ND/gtAD7WK8evRRh8I0neV9RzDWi/Bd575QVcUVeXNlMFiO8q2oEWXYf2PfI7Wgf5SujaTwFiefUNYC+ueSIlgONb2L6N7Ym2LcdsMe7ZMn2AaMvlovZE32q+Zr1sjot5u1XrkSe6zQG6zUF6zSGZ/qHN6H7DQ+8HevPK82qUqmcoVp+jVDlJ1ZqU45HQkPSoF7A+Ft6PGhiWBAoUKFCgQIHeJBKgRXjVCw/7sxOLnBtflM4qAlAf3N7FzTt7ZGrNayEUvggvf2p0gedHGkB+aklEt4TetiR7Btqls4oE7k0Av+75LmCyeN52rcnzPGlIIDzg158LimeOb9R+Fo5MArCJqALZDZDfCO0v4Nt6JAKx7KUMIF5K4vOYAtiL56haozZ18fxTlQYQjWWby8WzUPEaAfuNjbYqQf/689iN9pYi3uslx+S62suu63qejFQqnbOaDlqiCKctZ73frB1HrNNYJl7TWEes31hXRGBYd/KS63vC6asZs9FrFn+zFuuKJw6iL7ZDjPkvWGfrsq1j4nmGtr6fmvtU7BuxP8U+XN9/DUOJxv4W+3lzf6+/brO//jpRC8OO/s60rAPduPJ9X87x9ai8GxF6iy9uvzA6h4j80YjWG5HnXmG4UyzXZISWuZWCfN91JSIm3W1JCe17WgW4T270xbXmlc55AZwP4PxVaf1AOfK2r/Hb96WZ29nL5Xmb1S/9ITPtt5COdfKpj/by3O5OPvwn3+W33r2f//WtN/Nm1UK+yjPjKzw9tsKzE6tUbZd01ODoULuE9bcOtpKOvny4f79UbUB6kaf+4ixfWYH/VM8QN8MsjT6O3nsbq0vQM3uCu+znqbT0sPvYx5mttNB5i47tZvnesz63dES48JVHmXl3jf/5yG088I5FrO8cwQ4XuDP0BWLxGk7orcw7Cro+yS0HqxT/ssiZ33uUetRk8f/4Map3xDhsVthuKyROtxG2KnzSfIQTY2fZt+8WfjV0P72fzlGeXyV3v8rMR8cwn6wT+90c3Z/oQh1K4T3/AfLPd2HGFQbuD9N6wGb24fOMPHCOiXM2ObuNQj1Je6bKvgNFdt5kEetQ0WMRVC+FWo+hReMYA224XSmenVzisdMTPHV6nMrqPJpVYrgryd6bD7PducxQ7nF6tu8jeu+vo8ZaN/arW3EpXypSPlegdLZA+XIJz/Y40fMkDw5/FT2e5yMtvbxz6J1EDvwsariRq/3V1nq++ulnLSaeqbM0Vqeq1IkMOUSGHSyjwMSZOSYvLrO0VKToe1RNBUsVqYwVfFfkNQbDg4StkbIh5enEiRFVkiRDMYyQTajb4+A7dtOxJ0Vsm8/3rL/lmfLX6Q0P8OGuf8xAZIe8WRHn1avZZs/OYpUbIfDrhdMoaohQ+l6sfCt2uUS0o5Owmad69r/grF3A6L6D6IFfQ08OcC2qmrd57iuLnPzqIlbVZe/bWjn6j3po2RZ5ozct0HUoET5e5G8XEH6iCeNX7AW5LKO3MShBfKN0WDrkRnGyF6mtnGV+/JRcr6urC23DWKV587ZxE7flZu4FYw2Az8suF3mOXwzcr0wVcdVSFBTVbORrV02Z812N9zSgezMUfQDgr335noNXWWqA+krD274B8BsgX4TTX5eiha6A9RLgR7tkrYrajPNmmN8C0hcreb76vS+R15fpPtDCij8n00WU3EYEDGF4I7zqe8xBCe57zCG6Q4My9H6gQK+3bGdtA9SL2nZyqIpOLLKfROSw9K6PmMNv+IPo10rVapUHH3xQtu+//34ikeD+LlCga1HBXA0U6PrRjTBfRUj485NLnBpZ4PnReRkSX0AZEe780PYu6VUvvOuFR+RrfY8kvM/PjC1uwPix+TU53tUS39iOQzu6ZRTJQK+vRDj9XLnhdW+tg+sXgGwx3hh78fJGacDtxnoezhXLm8sEOPca8FsUAbTX2wJ+/yh0zfNc1tYaaQ1bWjKo6tUZcKwbDMh6qzGBcOjSN4G5GBfRB1S14Sgi6vW+MDAQbTGFZHvLMvXllikKmtaMA6kqG4YF9oaxQGO/iv0px5v7sfH9rO/nZr3ldY1UkC8tMc+HultkJI2hHlG3vC5zP9CPZvRTqNRlyg6ZxkOk81hP71EUETQaHu8CvIsIGi/8/oVBk0h5ISPzNmtx/m9NxTYi94q+iMrxSqrULOZWisytFphvAntRBLwX27EV8ne3ClCfoLctJYF9d1vD+16k1pidnb0+4fyv//qv09HR8aLlS0tL/PEf/7Fc51/9q3/1su+zdb0Azl89nP+Vjz3AkXfsZMEIU/j6Fzg7OcHq4Lv5jY4aH/v993PPn36DhVyVs5/4kLRqCoS8oJ6dzUmvegHrR5eKEpfs6k5Kj3oB6/d0p+QF6aXkLeUp/9u/4Z+upVg2ouQXp1GxWSoOoytr7Bt5iHe1Z3ngwMd4T+gwzzoGh48pzJZrnKksMPSQzTn3PMO/coDd9xk8fbmF0FwbmY7HuTtyim/VaxxIvh9hKjBTX2bX7mkGcu0c/9WHWLkwQ/nefSz8izvo6ipxi2ITLoXpejjBQ90P8cWx5+kZ2MX9d72Le76dIPSFOfLqKjMfXcDvTBL615N0v6MN7VgNc2k/zqX3sDYZJpRWGXx3iK7bTIqTS0w9eIaJB8+xMK2Sq6YpOmn6dirsvtliYEeVUMxDD0fQ7TiKmsTsbccc6sBPRxiby3L+5LOce+ZxLq44LCqtoGnEK7PsSlrsO3IH+4/eye7+dqLhKw0iPMujMlKSIfAXzs3yN4XPcCLzXXbEFH4+dhP9iQ8T3X8HsT0ZVOEy/kNKnA5FeKXZpbw8Sc8s55ldzrOULTWstHI16kWPWtHHqnhoikpbOkZPb4y+vghG0cGZKFMfLROpK2SSMRl2SXVMistRrLKKb4Fp1QnZVcKuhSIgvh5GDSXQwgZaRCfWpaPtsDg3/DAL289zbN8d/Fjvx36o0LyunaOy9G1quRMoegrdvIdaTkcLhUn1D+Fnn6Fy9k/wKouEht5HdO8voIYzXIuyKi6nvr7EiS/NU8nabL89w7EP99C168YHToF+eIl82BO1C7KI8PSTtYsytLb4QdEb2s5QqAHiB9wMseIKTu4ibvYiTu4Svt3IpS3gJvFhzk3kpPfy/v37MA1xnmreQr3oVmq9v56P/iWWbYxvLpeQXDW2QHVjsxbjmgnqleONsRe8RvavPYv8QK++xDF6hdd9ZWED3r8oZL4Rb3rcXwnwBbgXEF/RQzf8A0kRJWPWGpcGOnPWBPP1CRasKemZLxTXUvSEBLAflOBeeNkLeB+Exg/0eklcM2rCkKT6HMXKSUq103ieha4liUduanrWH8Y02rlRdCMAhECB3gwK5mqgQNePbsT5WrNszo0vSVAvILkIiS9+Urelohsh8AUg78z86M+HBMw5O96A8eLvjc6uyr/Vno41/tb2BozveBX+VqAbB0RuwHr3BRD/BcuuAPuuR7lS5dkTxxEZDO684w7iseiGh7kM038FfN+MpnqjgelG1IBNkC/AfbFaZ3I+Kw1iJpq1gLtCIUNjsLuF4e4WBrszDPe0MNCV+ZFClwd65d+pIjVGA7Y3gfsLwXszqoUwmBERRl74OFQct+spPFqTosQkYF/3el8H8KL/ekTvFVE65leLkv3MrxaYXW7C+9WC9NLfmo4kGdb4zCf/X+zxR64vOP9qSGxiAOd/MDj/17/3PeZ2DzIyXWHpb/8DU51voTee4dO/upvvtEX5+Kce4X/58UP8T3ccfKM3+ZrVaqnG8fFVCeuPj69QrDnEQ7r0pheg/uhQG22J8BWvsb/4OCe+dYHfKbfSnmln7NS30GL7yDsxei9/m3eHRni+9WZuO/YOxmb7Ielz4HaHy8sO7mqRuS89x/yvRvhHR2/i+NAS/pMH0aI5jkQ/j6Pn+XOSvCt6N7uUKI5nYSWnOdShU/4vOZ791DeoaWHWfvPtVO+PcyxZocVT8MZaqc4/zp8sPk20Yxt3v+197PISHP4rhcJ3zlDoK1B8fwvu+RVacjWS97hoTpjQo3dTLh8kXwgT6dIZfE+YziOGcONj8ekxpr5xmpnvnGN1DkpeG25rP703hRneUaKzo4wRAsMIo6sJtGQGo6sFPRVHi2r4Y99m7fwTjCi9XI7u59zzz3Jhapm6kUZL9zDQ3SYhvQgHtae/g/7O1BVe48Ij/eSpp/mvz/4hs5XneavSyt3uEB35fSix/YSGbyJxcyeRwehLnofEjXYDvIsTb162Z8QJeDlP1Wp4qQpw19Ual9ZSnS3xjTzqralGHfPDrJ2HqRMWC+dtecHp2GkwcMSkZ79GbmSJqUfnmHliHqtiE2sReewdQVIo5xMsT7VgVUJ4dYi4VZJaiWhchDXScOsqjmXiOCFs1aEequK1Vejd1cnQLQO0HU2T3hnBiF69IYJTX6K8+CBW8SyK1otnH8azTWJd3cQ62qmPf4Xq+f8mdi7hXT9NZOeHr1lQ49oeZ7+1wvEvzpObq9F/c4pjH+lm26HkDXdzGuiHMLBxFiWEH2/C+HlrQs7PqBZnMLynAePppKvioOYmJIwXnvG+VZTvIcKG65nd6OndaKLO7EY1E/IeJJ9veN2mUqktnvOBAl3DIfOt/BWw3pXe96IWIH/pisgMIgrNBqxfB/ehFlQRLj+UkjVa+Lo4z/4g81V426/Y88xZ4/J8ITzs5+oTrDrz8tzxwtD4DWjfL1PPhNTr/0FnoGtbnm9TqZ2XueqL1ZNU65flcRkye0hEbpGwPh45iKZGr41zjm/h+XU8r95sCy8IS/bluF+X6Vca6zSWuW6NSrWRZzYSDgkbuPV33DBk80W+K7a0txi4NZatr+9tjK6vryphwuY2wmY/YXMAXWu5Ls5jgQJdawruhQMFun70Zpiv4rme9GZvwvqxuQZA/2G82YX3tYTxzfcSofWFF6cARALEr7+feDYY3EMEerX1Zpivr6aEt/P43BrjC2uyFtB+cjG3Ee5cGNFID3sJ7VsktBcpJ0T4/TeTxG8zEaFApByu2448zwmjB5G+QkQmqVsuNduRRhDC+EmsJ8dl35FwXcJ2AeCb4P2FIeXF6TAZC0vHxPXUHQK8p2NhGV5+fSwtlsfCRMPGdXMOrVkNcC+97JcLnB+d5v/4w/8b69I3rx84/2oqgPM/GJz/L5+6zLQSov7AZzg1v8Latrfxu4Mu7/+993HHf36AXN3izP/0odc9h/T1KpFH5eJCnqfGGl71F+fz8nHPUHt8w6v+QG8GvVKj9vtf4N+shHnGiaL5Bsvjz1NlP6Y9w8G5RznSDg/e9iF+vHqA72ajHG7PE7styZi2ROX/nuFy/wixXz7CO96S5jvHw3TkM4Q7H+Q+Y5Kvl8d4NNrBzshRjnhd9CkqllYhlprjlrmdfOt3P0l2Okt5z3ZW/sfD9B+w2WXalOsR7JML/O3k31NPtnPHO36CtkyEfVMRop88hXaxjnMwzeqtDo69RmdbnlhGJXJ8GPWhm8iaPRTdGPEhk6H3Rei4tXEytQpVCehHv/AUS09cplo1cTt3Yh7cR0unTX/nKqlUHVXkz/EjuG4EM2QSiYjQOSuY+cdR/Ar+0J2Qamfqqb9hpBRivOUuLhdMJhay8uY6YursErBeAvsOCe3Fid3xHB4Y+SJfPPdJirl5umyd28hwa62H6OoQc9l+VpKDZNtCZBMuC9Xyi8KWCIsscZHu60jR256ir13USRke52rnR73kMfVsncnjFvNnLDwXWod0Bo6G2HazQXlulalHZpl+bI7KWo1w1KZrR5FoZIlKKcb4uT1Uy0miER2z7mCoDtF2hWibj676VFdssrNF6nkD1Uugq2G0sE6kVSM5FCJzIEb7sTSthxIY8VfeZrsyTXnp61ilcXxvH541gBFvITUwhKa5VC/8BbXRL6OaKSL7f5nQwLtkvuxrdV5efnSNpz8/x/J4ha5dMY59pJftb7n28y4H+tFUcUsSpq3Yc43aEe15lqzZjbDVnWafhPE72Ma2mkqimMXNXWqA+HojJ5wabt0A8OtFAshAgd4E8n0Pr7qyESJfeN/LXPeynserrb44KoRmNmC9KWB9Sua5V830FQC/sUz009Jb/3o9H9e9mvSqF8B+3ct+a2h8IeFRn9RaSOqZRq1lSMh2hoSWaY5niGvpIMd9oFdFjlukVH1ewvpS9SR1e1HOMRH2XlWF0bCyUTbnXrO/vkx5Qb85dkV/4/XraVfcK8D7JmgX9fq4ddWfQ1E0VMVEVUVuP1MExZSRaRpbq25JByPG11+lbqaHUV6wzou2ebO4XpG6NSMNHYSEIUMD1DeAfUi0jX4Mve26PV8FChQoUKBAb3YVK3VOj23mgRfPE4X62pMbXvUiHL54lvhyIfMFSGrA+EYR4YyDe4NAga59iVD6AqCOCVi/kG3A+/k1VvKNaJgi4kB/V2YD2q+Hx09EQhsRDGTaA9F2ruwLwC29+reMu54vQ/SvL2+MN6IirPdFEUY+4pGKNGLeMGYWW9SoxXNtocZ6/ovW29pfD/suXiOaIp2AAO6bUH2zLQG8I36/Xd3+E6e5sKFjmrqMSBA2DJKxUAO8C8guYfuLwfv3y9N+I2nmess5//DDD7/q73nvvfe+6u95ox4o/+FzU4yMZVn86n9isvtutkeifOp3jvAVz+W//+wT/OufvJl/cnT/G725160KVWvDq/6ZsRWyFYuwofGBw9v4pXqZmb9/ll8rttGWamPi8gmqxQx2PMO2C1/jvekp/qHjnbxv3z4uLuylXHcZ2l8ktS9CfrTAmc88xdn/NU7/cD/JtEro7A6ioRU6Y1/mcFRh1MrxZR305CF2VXvYp0VoU6GmrnGT3snMn36XS999lpqSoPCug7gfa+HmbgdNVZic83nmkc9RMkMceftHyXRmSJh12p4YZfiLIcJTEUrpKitHLbybVmjtKpC0e0l//S1UnoywbGUo6wmSO8Ns/0cx2m7atHgqTCwz8pnHGP3c41SXCuitrYTuuJvwcB9mbYmu1iym5lCqmEwvJFhYjePYsK/jBMPp57H8FLP1O8BTiGqLmJ1R2LWLJd1npl5jYrHE5Zks+ZIln7V1tSQkqBce9l2tMZ4aP8kTo89zYWaSct5HqcRI+BoJ3yTihGjz4nTonfQPdDO8v4MdR7rpH2wlFrkyhP6PKrvqMX3SYvJ4ndlTlkgfTbpPY/BoiP4jJlYux/Rj8xLWF2aL6HqNjsEquDVWF9qolFLEW8IkUjHsZQWv7hLpNknvDUNviVxtFncE1Jk4/mIIwU7suomPKkP6hzMaiX6DzN4Yrbcm6bwzg5k0Xmw9Vx6hvCggfRbXOoSitpPoGybW0SXDIlfO/AnWzHfQUsNED/46ZucRrlWJzzNxPM/TX5hj9kxR5qI/9uFudt/biqYHMOR6lPhOS17+CgC/bM+zKvvzlN2Gl7tQTEvQZnTL0umn6K8adFYstPyUDE8vAaO44Qmlr4DwwjNejbS+gZ8yUKBrP9+9MGTxmkV44cta9vP4VrNeX24XXwzzFXUD2guIL9tmE+pH2tCSw+ip7ddspJaXkgiNv2BPUxB5wt0s+WZdEMXJyvbWc5SQuFUS+ewFwF+H9rKW7ZaNWoyFJGANFOjqVLfnJaiv1C/h+84L0qps8SiXvuTrnuhb+lvGNr3Nmx7qW9YVYFxTReSMBlBXFVFEW4yttxvjsr+xjmibzXXWx0X/9U2rJvaF5SxSs6Zkqct6kpo9s2FUoKkRCewlrG8Ce+Fp/1pCe2Ho4LgFHK+A4wqPnzyu6Lt5Oe7jEjGHiIS2EwkNXxMREt4oiePR9fJY9hKWs4yuJYiF973ux1KgQIECBbo+JEItnxpdkKD++ZE5GS1TSOQTXs6WJUgTYOmgzF/f8I7f1pF604CmQIHeLEY7E/NrG9Be1JMLWQmxXy0J3iJTDuia9M4XhgCiL9Iir6dGFqcVVVU2IvU2jKUb7Ua3aSb9ffrr7yH6uqpimgKk6zLvuilqQyMkILsA7KYh+1vHxXqyFuPrIN7U5XYG574bDM4HemMPlH/+ySn8r/4Zz67VKPfcySf6Snzo336EI//hq1g4PP+bH3rZ3OmBfjCJKSTy03/r3Dx//fQEv/eefRz90iP8+YrK54pROlsHuPjkN7DZQbI2wq2F47S0tnP6rffznrkhvlttY3dulto9afoPeYz/1zHOtj3B1M/cRjKhklkZYrAWw+4Yx1h9iLvbxAnZ5+t6nUupYbbV29nmJtmjmUTw8KwSOy85nPjU31G2oRLupPDhfgbfHaEj6jNhwcPf+AecQpZj936c5JAIW1tCNWbZdzHNga/3UH5iilIlS+6mKsq7lwgNO7Qr99H28AFWv5VnYSFORY2R3GGy4+eTtB3etJTyXI+pLz3N+T9+kJVz8yghg65799P+ziMkOiNE1BJaaQlB5qt2hOVyC2srDp3VB4n6i1xaPMipsZtw6+LUpOFrIn+ySjjmY8Y87FiNtVCJVbXMsltmqVYWqxFPmvR1pOlui2GbKyy7F5i1T2GYK9wUT3DMjXLYaUdba6M8vo3a0gBGRy+JmzIkDqWI7RU531/dSBKO5UtAP/lMnZmTFnbNJ9mlMXBEgHoDxSsz/t0pCevzYwUUv0Y0o1Ar6dSrEeItNt27QoRDbaxeNHCqHiLF6NqeMQo7phjoHWaHfwh3zqZ8sUpptEZ1zqO27GOVDXxfRTVV2m8Os+Nneuh9Zxuqrlxx7NYLpykvfpN63sRzhgmne0gP70UPhbHXzlM5/V9wVk5jdB4levC/R08Ncy1r9lxRetKPP5Mj2RHi1p/o4sC72jFCQZSQa03i+Mu7axK+r9oLLK97wTdrkRd+XQJktRs9tBpdMrx0u9ZOWx2S5RJ6cR43P4KbH8Orrcn1FTOxAeBFLbzj1Uj7j3SzKXKI1euN/N2hkAAMwTU0UKAXwi/fKlwJ7EVt5a+s5bgA/dlGCGpFQYtvQ0vvRE/vQE/vREvtkJ751+t8dXybopOTwF6Ce2dto70B85tjrn/lg4GwGiGixQkpEQnqTSXcqNUIofW2rCOYW5bLvhJq1o3++rqB136ga1lv5HwV9yLr0H4T2E/L/ia0DxNaD4tviHpAtg2944r7CunR4pUbYF3C9nXILoB7o26A+Gbt5iWcf6GEMYOupWQRqtUnN7z+Q0a3BPXR0A4J60XRtRsj4o8wLrGcFWynAd8FhN9oO0vY9vLGfliXpsVIRo+QjB6VtaYFuX9fS73R19ZAgQJdvYL5+mKtFioS1AuPeeERL4D8YFcmAFKB3nAF8/X1398iXPn4fFbmHBcgfR2uN+oGVG+Ma7Iv2+vLX7B+cA55c2gmgPOBfpAD5R//b08y+/U/ZbrvPg6ZGr/1sx0819HLb37haf79Tx/hl2/a/UZv6g0nMZX+1d+e5NRUlk8daMP76tP8cr4FPZwgly8xdzGHmQ7Rf/k73N85z+e2/ST/tLeL7y0dkDnUMYvEfqzEdivD2S+cZvCDVT63p1PmBd+7NkxHZppqqMxs9mHeFnHYaSY5b3h8JdVGu5ImVUsxrKkMuDH8WpW+ms78n3yd1aVl7Fgn2XiMyP/QzfbtGjkVvvrU42RHRnjPoY8Sv3kvVqiIq+eJ6wq3FLcz+JBC/YEx8mMzVIcK+O/J4d6WoLvjQ7Sf7ST35SLTz6lUnBCJbRo7fjpB+32JK24iss+McO4Pv8r8M+PULA8tESHSlab9tmF6DrWR6TIIa1WZ81aJxMAt4M0+ja9HqPW+jZXnnqE0V8BKHKWqD1Nec6hkbSoFj2oVKlWFSt2nSJ2obtK5Q2P41hi7b2ujf3eailPmydnv8ej0tzmz/CyqU+PmaBfH/CiH3DRKIUVpvJfyRB9OuZPY7iSJm1IS1kd3xFG0V+8C69o+82eFR70lQ+BbZZ9wxqcUuUx8uMh97zjCynNZJh+ZZfH5Zayyi6+GsWsG0USVHUcW6NzZQml1gKXTIXK5HAvxUUqHZzhyzy3ctf+duDUXq2RjlS0qSyVK58usPVUif0F49OuEWgx670ux8+O9pHZGNm4gRKjSWvY4xbnHqRfaULU2UoP7iHX0y+X23KNUzvxX3PIsoYF3E933S9Lj8VqWCHP/zBfmuPjwKuGkwS0f7OSm93YSjgfeNW+Eal6FiWYOeJHLeT0Uvd188C0OxbTWJsH7uhe8gPFtehcZL4S2BcA7+VHc4tRGrmw11rXhfaultqNndsmc2a/2DXK1WuXBBx+U7fvvv59IJMg1HSjQjyLftXAL4zi5EdzcZRw5x0fxnZpcLgxqNoB9aodsq9HOq5rb18t8FfeOVa/UAPdOVhosCWhf8UpYfh3Lq8rw+pZfu7IW47JdfRHcfykZiiHhvgjDH1Gj8lzbbQ7QZQ7IWvT1wPs00Buka3G+NnI0LlGzppvAft3jfhrXa56jVJOw0Se92zc83TeiFWxK1+JoWhJdbQB3XbSbtdaE8LLI5UkZXeDKbRF5H6epWqNU62NU6yOydptGjKbe1gT1O5oe9tsxtNZr7kGh61WawH1FGkRI4C7adqPtuGtXBF8R+8Q02jH1Dgy9Ucu2Ieo2Ce0L5adkqdTHZBquWPgAqdgxkrHbpCHDtShhYOB5FTT1+guVfC3O1UCBAr20gvkaKND1o2C+Bgp07SuA84F+oAPlN3/sE5yomtidR/nEUIHen9jLL397CjUCz/7TDzZCaAR61ZWrWPzSnz3Kvq4k/2JknG+vuPy75QjDfbs49ch3qFYzdJVPcScXmU3vpPyue/nxcx084PeyK7fI6b0WN73NpX0kzvzaadpvb+PLqSj6WgsDqkLnoROoc0keLT7GfrvIu6LbqHkhvtSdIWeo9NZaaA+VyFQ76alraPU66SenGH/wSdShTopzBtW7ovR/tAM9pvDNkbOcfO447259O4fv+SDz0UkqRkWGrAxrKsNKmsOn0vDFSVYfO4PbUsS+16L0rn7ad99Od76L+uddJr9pUy7oJFpdht4fpvtD7ajxzVDqpfMzrDx0mrkHn6cwtUat7mGJkCmREGY6Rs+RTrp2JUi2gBECpb4C1UXU3u34sQjWyS+hprqJ3PtP0NqG8C0Hr1jDFaVQITddYez5MhNjPjPTCnVHIZyE/v0mO25Ls+vODpxIkcdmHpLl8tp5wr7HrbFebtOi7PViKJUo1YV+8me7qM13oEZMEvs3YX2obxNm/6jyHJ+FizYjj5d49huzuFWdbbta2XFHjKG3hAgnHGaemGfq0Tmmn1yiuKxh2xEMw6F/zyQH75silN7JwuQQp06skF3OYqZ0Dt59gD337KTt5qT0kLfLNovnlnCqNs64xdSXV1m77OErBomhMEM/2cHgB9sJZxoP5H3PorL8GPmpyzj1NKFkipZdd2CEEzK8cX38q1TOfQrcOuFdHyGy8yMoxrUdXjM3X+P438xz5pvL6IbKTe/t4JYPdRPLXBnqP9CrK+EZOlY7y3j1nKxnrTH5wFWEoO8Lbafd6N2A8KK06l3ovoJbnNgE8M16PT+8ooclhJcAXoJ40R5GNWKvy2cKfjAFCvTaS4AtrzSLk7ssDXJELeD9xnnAiEtYL6F9E9hriX4UVXvTzldHeJs2wb2o6+u1bFeb7aqE/aKuemWW7BkWrEkKTmO/aopGp9lHlzkoYf16adGvzhgiUKAfRdfTfG1A+xUJ6xue9jMyrPoGYBfAXU1e0VcU7TXy+J+nWhfAfpRKE9gLAwEh8bcjoaGmh30D2Jt696s2n8W52vXKG0VEDHDd9X5J1o5bbHq+NyC845Y2Xi9AukgX0ADu7TIKgWlsaevtLzJSeCVZ9jKFytMUyk9TrJ6UBg0iRUEydoxU7C1EQ7vl33y91TCsmKJSvyxTT1Rrl6hak3JcVXQMvVXuh0ZplUYVV/aFR+e1E/3repqrgQK92RXM10CBrh8F8zVQoGtfAZwP9AMdKO898gvMDrybOyI+H/twhn+oKvy/zy7zf//cMX52/843ejNvaD1+eYl/8aXn+N93Zrj50dP8RjHNnBfGjHRz4dHniUTK7Jg9zq3dNb605338b7EWvrK0n5CvUVUrnP3Yw3xg9FbiWojtqSJ/213gOb9NetRHjTz+wGm2ae18Z+5B9PICP2fsplNJMWLt4ovbFxjW0/SGCtQqCbryLbQ5PqlshdXPfBcr7GH0DbJ0Zp7Ub2wjtTvG6bV5vvLYg+xJHeA3O/8JhaMTXNYmqNrbcFQVVbXJqCaHl3vo+Pw02W89I8MO1vfplN4/SPiufnrVfvSvJZj6Qp3SvEc8XKP/TpXOH28ntG8zZ5P0EBtbJPfERbKPXyB3YY5qzcWNRai7IHy/Up0mXXsSdA74hPQqiu6j9Q3iLJ7Ay08QOvxTmDd94EUP4n3PxyvVsJYKTJxcY+xkmalLPivLqnTLbetRGD4UYeexDPqeMk9lH5Ue9TPFKeKKxm2JAd6ihdmJiW+HsAoDlEZ6yZ1swbc09LRB4mCS+IGUrM2u8I/8gEuE0qlVayxdcpl9zmfquCU96lM9GkO3hRi8LUQ0DXPPLDDx3TkuPrhGYVGX4eozHVn23naGA/fMMe4P8dDFMs7JVtrXBulI9tB9Wwtdd2RoORRn+eIynu3RfVMX1lKVkU+OMfPNPOVcCC1m0nFrjOGf7qb7jgRaSMVzK+SnHqY0J0KE6yR6u0huuwNVM/DsMrWLf0n18t+gGDGMjltlqPsGNB1CjVwZ4vNaUWnV4tm/W+D5B5bwHI8D97dz6D0dtA1Fr8ntvZ4k5rUAPWO1c4xVz0rv+BV7QS5rNToZDu9nOLKf4fA+OozGzYtfW70CwLvr3vBNjzM11t0AcFs84sXYG/ldBaHGAgV6484xfm2tCeo3ob1Xnm+soBqN69AGsN+BmhjCchvni2C+vrxKbp4Fa4p5a1LCelGL6CYi2omQ8LTvMvu3APsGvE9IYBRcOwO9Ogqur6+i4YC7ugHsGx72o1jOqlyuiZQZGx72w0TMYVQ10gDqbmkLaG+2JWzfHJftDQC/mXrohRJQXVNj6GqiAeCNjg3gvu75bmgtrxksF9tWrDxHoSK86o/LqAbCSCIZE6HvbyMRPSz3xWtiMGHPNUH8ZSoSxI/K9AjidBkythEN7SQa3oWuZbCdVfl9CcMF2ZZl5YrQ/eJ1Yt11YG9qTWi/FeprrTKKw+uhYK4GCnT9KJivgQJdPwrma6BA176uKzg/NTXFa6H+/kaI5UDf/0A5du+/RO86zP96oIpxexf/3cPztHRFefrXPxB4zb8O+ncPnOaRiwv8hVtkaq3GP5uNsaNrG2eeu0xhschA6SRvi8/wzfRRWt95Kx88nuYrRj/9+RIjb5vF6h/jvss3074zTbue4w/iFSp6mLekI9SWdKzWUaItcHHlu8znzvNhdze3R7ahzu7lb5IG5ZuX2BGq4/s1sjO97HSjtLkuxtPjLD5+ivQ791N8Lk91wKb9o70sUuFzj38DPxLn7Ts+wKGUhto/QtK+mxlbZ0kp4Kq2wNb011rZ8cAofPcsyqSOm05Q+YkurHdl6MhsI/ZMN4v/zaM06RBXyvQM1Gh7VwvRuzrRW6/0gKjNrZF/8qKE9eULs1iWi9+Wxo1HqdddDH+Nod0Vkh0RfC2K5Wp4pVGifQli7/zHaKlXDlfo2Q4rY4uMPLHGxPM1Zi+r1MoKpgl9gyrDByOE9mU5FXmKJ9YeY6W2TKsR5/bEELdpYba5towi4LrbqS7sIn8qQ+VyBUQWgjaT+MEU8YNJEgdSmO1X793xstvr+MydtRh/qs70iUaO+ky/Lr3ph46FZD76+ecWOf3Xc1z+dpHymoJh1OndOc2+208yfvQSj7sOLedvYc+ld6POxFFDKh1HUoR6fBLbQ/Te0oMZN/Fsl8VvTTPymRlWTjvYToRQR5ht92cY/FA7mT1hnFqWtcuPUc9X0MM10sP7iLTcKh+muZVFapf/Gid7UYYl9u3Gg3zhSa8lhzZKA9wP/Ui5g19N1YoOJ/9+kef+boFqwSHVFWLnnS3suCND9554ABuu0ktztj4qPeJHJYw/T9ktyAeIveZwA8brQwx4bcSsOl5lCa+6KI8Zr7KIW5yWeak3j5d1AN/0ik8OXfMRGQIFCvTGSxiLCcMeCeybHvYi+gae28hjH+tFSw6gJQYbdXIQLd6Pov/o1+sbWeKnYd5dlaB+vj6xAe4X7OmNVCQiCsp6SPz1IiB+VEu80ZsfKFCgF8hxc9KrvrIB7Uep203jppeQANcCrot87qJWRVuW+JbxZnu9NNcVRUQSuFYkPPwr9Ysy9H2+/JRMDyA80RORm2To+2T0mAyd/8NGUBAQvlq/1ATyI9J4QShkdBIJ7SIa3kk0tEtGLrgagwDxvsIIYgPYuysbbWtjbHXj76xL14QhRAuGhPdt8vtQlYg0lFivNVmHG0URtfieRVtEhzOD30CBAgUKFChQoECBAt0IcF7TXv3QW+LHguM08ssG+v4Hyt4f/0vek/D4wM918dezZf7yQp4/+ZW7+Kldw2/0Jr4pVK7b/PKfPc5hz+KfjU/xb600jxYMurpv5rmvP0zcHeVQ6TKtHXG+cetb+XdWmr9d2U2IEBWlwqnf+jv2/Mcebn3bfnq7Oxhjki+oOm2dNXa2qTDaRl3Lkm2ZZs19nsm1ExyptPGx2EG6csNcuriPp29ZpOWWaVrCK5wd7SBazHBAN2nJ1yh+8yReRiG9fzsLX3ue6M/3Qn+IU/OXOLOySOzgEXozUfr0LO8P30+nvotn6lOc9WYpUUPBI2kb7DhzhvSDS6jfjaCHUlhvb6H0nhjmvnZSJ4cofiFCZcwm5hTIiHD7B0wSd3cQPdp6Rdh7ITtbIv/UJQnqi89P4DkuoYEO1L42dGOJpH8OTY/gKO04to9Tq+LF24jeehetN+/ETL7yAw9xqqvVi4yfWmTsyTwzp31WpjRwFNIpGBgEbfsCYz1P8Yz9NCXK9MQ6uSM1xFvQaXeqKGYSLXML9dweShdMiqfzVMcbUDrUHd4A9aI20j+aB4Nr+cycaoD6mZN1XAvatjdA/eDREJG0yth3FjnxqTmmj1dl6PpoLEvXgUtMvOVhpm4e45baEQ5P/BK5U20Uxiu4jkNqX4Td/6if7ttFbvnGQ5jqTJHJz48y+ZUViishCEVIDEcZ/FAHfW9P4atT5MfP4jkFQukSqW33YCb2XhERwasuS0gvPKFlDmFRFyc384KHWxrwdR3ay3pQhip/I+Q6HjOnilx+bI2RJ7JUcjaxFoMdt2fYcXsLfYcSaHpgrbqZL/48YzJE/TkmaxfQayVSjs+w18E2L0OnGyFjgVLLSgDv21seGqqajKigRjvQIp2o8d4NGP9a5IYPFCjQm1e+a0tAL4F9YWKjiGuUlKLI8464/ugC1q+D+8TAG3Y9ul7k+R6rzgLz9U0ve1FE5BSxTCilt0hIL3LYt8vSK+sWozPIaR8o0DUkAXer1rgMr65pW0F79JoKo/5qSxglNED905Rrp+VvGBH+PyVB/W0yqsBL3ZcK7/tK7fJmePr6JWwnL5cZeqbhES8gvITxO6Wn/mspz6ttAnsJ8Ld44At471XwvKpcz/OrMrXUK0l85AawX4f56wC/CfGbMF9VhDdfCAUdFA0FVRpjiGOmYZQhahVF1trmerLdrMX6aFtevzkmamH48YOkNAgUKFCgQIECBQoU6LXWdQXnX4vwG+JHkuuKoNeBruZAue2Dn+N/PlQidvcQv/bQHJl2jZO/8dEAgryOem5ylf/pc8f5j06R9mqdX5iJ0ZFMMzHusDZ6juHyKd7Zusaft97Djnv28ONPpvgHs5/2osvCh0+RU6cY/mQrR/75YdpI8pAyxdO+ihqu07utwFBugGrBJ58aY1w/wVLhWVpy8Cuxm7jV20Ph9B5OlVuofOR5WvrHGF2MMz2aYns4xT5PJTy2TOHsCB0/cQjrqQmyy6vod7ViDdqs2WVmw2msQeGxbtO93MdPttzBrlgHE94KT9pjTLtZHN8j4tXoXb1M5wNV9AcSRO0Qyu44+XeFsO5Kkri4HftrrdTHffyChWlViEcsWg6FaL8/TfxIK4p55TnDLdfIHx8l98QFCidGcasWkd4E7QcLmMoMdqiX4oohfsKjaAbVikbdi6K1dRLfNUjroQGiXZvh9F867GCF1dUVRp5bY+pZm4VzOtU1DfFooLvLQe2dYabzSU4nHqOmWeyP7+Ktie3cgo+hldDTfehdRyFygPJFm+KpPKUzBWrTjTCP4W0REk3PehEKX4+/+KG0OKfl840HO6lU6mUNm4QHvQD040/WmT1l4XnQucuQoH7gSAjfczn52QVOf2mZ4nwd1StAdJzVfc9Qu2mC/tsi7E/8PJlnDzL39zkqixbxnih9b22j995WWvYn5L4S4d5XH5tm/LOTLB6vU6vH0VNR2m5N0P/eNKHOMZzKLIo+S6RFJd79Lozo4MvvZ8/FLc00oH0T3DuFcbzynPgSGpBEhC8XIfEFrF+H9/G+F6UteC3leT7zF0oNUP94lsJinXBcZ/hYWnrUD9yawgjduA8qXzg3ctY8U9nHWcidYLVwmlplmmitTtqGdsckZStElDAhNSJmoExvoEY7ZdEEhI91NWF8J1q0EyX82oUufT11tfM1UKBA1958Vb06TnFyE9jL9riM7LEuce4SkF562CfW4X1/EMnjKqKpLFszG7B+0Z5m2ZpjxZ7DboZnFlG7WvSuJrDvod3chPcZvQP1BrhGBPrhFVxfA70REqH8C5UTjVz1lePSYEGAduFNH4/ehG0vSW94AeMtu3Gt0LW4BPjrMF6EqBch5q/51DC+LSF9A9bXcEUt4L1fb9aNvhyX69VfYnkNx61St4ri1xO6Ln7/efi40shDlFdLwvNfpD5oRAMQdSt6s26MNeprKUpDoEDXmoJra6BA14+C+Roo0LWv6wrOf/rTn37F5X/8x3/MM888g2EY3H///Rw7dozOzs5G3tqlJbnswQcfxLZtjh49yq//+q/L13384x9/tTf1hj1Qfv6t/4Z3/UI/36kn+cLlPP/qXdv4zXfc90Zv3ptOf/St8zz9xAh/tLrA34Tb+fScynDPQY5/4ylaC49zm7bASnqIJ+89wh/MpvlKaYiwG8EOlXjut/6G/n/dQfKgylvv+zEylkrBqPIXdpZVtY6WWWWv1kIin8EOZTmhfUN60WtrNu8ze/lI5Bj6dD+XT+9g5fYFQu94htWayZnnTVw1w61aiOGKh3NxFrXboP/uAWoPn2ZxNM+FwQIte+PEo2mqHQazCY9JO0G0kuZIdJB3xXeR0nWedEY468xT9upofpXWygKZbxnEH46QnqyhJ1Sq94Qp3x9FTbRhjrTCuTi1ZzW8OR9qLtGITWafSfvbkrTdl0J/Aaj3LIfiqQnpUZ9/8hKau0Db8DyhVgO6D+AUprEqYRSzDd83sOs+pTWfSlVHa+8kubuf1gPbSO3oRNVe+uGvZVcplFeYm1hj4lSN+XMaq5dN/LpGLOrhd00x3fIIY22PEAtp3G7ezL3GAfpVA8WwUNNt6J3b0ToG8WyN8kiN0tmCBPbWYh0UiAzFNnLWx/cl0aIa1WpVnuuExLkwEvn+4Q6tssfUsxbjT4rtbDz07t5nyPz0fTcZzD1X5vm/XmLhdKmRH746Ss24SOnmCey3Fum/bS+Hn38v7vEo9UkFO+8SbjPpuaeF3nvbSO1o5GCvzZeY++ooE19coLBo4KhJQu0ROu4Ik9y5SGJwDj16ESOiSkBvRAdkrYWFJ/QrP2T3nZoEI9K7fgu492oix714iq83AEm8B0WLgBZCaRbZ1sMoqtnwctxYJtqmrF+4nhy/SsMkcR1aHqtw+fE1Rh5dZXWqgm7CwOEoO26LMnizQSjiyogAvgjv69n4IjqAa+F7drPfhBGhNEq4VUYNUEMt0pDkWpBnlXDL8xRLI+QK5ygWL1MrT2JX5lAqq2h2dSPXcFiNYUZ7iMeGiCW2S9iuCu93CeMbAF41YrwZ9MPM10CBAl3b81WkZHGLU41r0hZwv5HPXpzLRdQPCeoHrqjfLOe+H8nYy1mRkH5ZltlmLcD9PG4T5GiKRquxBdw3ve1FndbbAsPiN4GC62ugN1q+71Cqnm2A+vJT1O0F6b0dDe1owvgGiDf1N3fEp+83V0UagQasd0QomyvAvWg3xpxm35PrNZaLSGui9nC8PI6TbUYBWLuifqEBgIhQsBXWXwHxN6C+MNgPIEegN5+Ca2ugQNePgvkaKNC1r+sKzr+SfuVXfoU///M/553vfCd/9md/Rm9v70uuNzs7y6/+6q/yjW98g1/6pV/iT/7kT17PzbzuD5R7Og/ys//2f+b3LkBrl8on797Drbfe+kZv3ptOddvlV//8cd47OsmP6T6/vBDD06OsLmfInn2IHdXz3N7l8l+77uGmw9u4/5lWvqN101rTWf3px1msz9L3yRYO/P4gnfZO0r5KuKbwebJMKmUKyWViGuyudBNC5XToASb8J9AqKjuqHr/V8Va68n3MPredpRbwfvJJSqrOiUtRqgWXeCjJHbZCe9HBWcuj94dJ7U2QyK/wzadOcl5f5nD3EIO7W7GSKpetBONRgzoGrX4rR/VBjkY6qOkFnnHHWHDy8sd1vFAi8bBP+4Uo6QtVjHIdr1vHOhCmckilvleA7yj6+QzqszG8MyHIahiopIZ12u6I03ZbjOSghiqt8hvyPY/y+Rlyj5/Fu/BNIqFJbCtGTR3ATNWJJFdRQlFcrwP0NK6jUc175JdsijnQ2zpJ7e2TsL5lXw9G9MUh82y7Rqm6Rja/wtS5MvPndZYvhiks6Xi4WG3TzGYeo9h1lv6uEPcYB7jNHiBih0CE5DMTMvy9GhfexCE8T6W+4lKdtihdrFBfdKTne2xngtDuCKcKZ/E64f4P/OA3YLWCx+Txugx9v3jRRgQt6TlkMnjMJBT2uPSNLJNPFKjlqvjVCarlMeqtK5TuzrNr9yH6ugaoqxapc/2UnwQr7xDrDdNzT6v0qE/0R6Q3ffapOWa+NMbcYyWqtSREYoQ6FFpvrZHZWyY5NIEWGUfBRVFD6NH+JrAfxIhsQ1GvDkp79fwGrBfg3qss4It4/m4N3603ilMTdLlRN8PoXo02gP0WyA/+Jkx37SZsd5qQvRGOP78WZ+LSNiYu9rE834qqefQMLDK4a4aBnTNEYvWX+YNKIzrA1iEzsQnqIwLat8q2KtpiTCwTXuZG/Id+8Ce9Y+q5Rm73yoKE8JXSuATx9fIUTnke1y5i+XVc38FTVaqhMH6kDSPWSyQ+QCK+k+7UERKJHaiRNhQ18EoRCn4wBQr05pmvDSOyqSasn8ApTMpaQvvmub0B7YebaTpEqpZhtIS45gXnzO8nEQY/6yxtwHpZrFlWnHlW7Xm85j42FINWo3vD216Gy9e7aTG6JLgXYD/Q9a/g+hroWpK4l3bcLLqWviEiP90oc1V8L65X3ALr13DW4b2zJsP5O7Jek+uuS/yk0rWMhPXyOxUG3s0Q+htFxM7bCK+/Oa5uhOo3rgjfv7lOI3R/Y12xjtFMCRBq1pE3tTFHoDdWwbU1UKDrR8F8DRTo2tcNAef/5m/+hg9/+MPSG/7xxx//vmE6RFiP22+/nRMnTvBXf/VX8rWBrv5A+R//6jt89swc/+3X7uLd/f1v9Ka9aXVhPs//8meP8Icz04z09fG/X/IYyAzy/OOjdC08wN3JHI9FjnD5vXv4gzMpHqj1EbaixFsrfO+X/pq+/7OD8LEcH/2Z/465mRpR16dN1XikUOYcNdRolslIlv5KO131FIvxh3iOB9GcEKGVLL858BaO2MPkL25joZDC+qlnKUdg5PIO1rIzrJghdngqxyyNpKti54o4XgWzT2UpvcYXn/8uvaEe7rmll2RLDHcpwpIZYarVYCGq4fsxUk4Lh40edkRCzGoXGRMh7z0dc80m8VSWgekWMtU46lgRFkoScte3hajtD1M5oFHZB342jHIxhnYuiTqaQK0a6KZBcpdJZr9JZpdOZsAgEtLRmz9yq6dPYn3vM3jZOaqrBuVsCstOEepUiaSWibbb6LE0rtaD50dxRPSBJYfcXI38sovW0kLLfuFZL4B9H5G2xBXfneNYlKqrlCprLM8VmDuvsnQxwuIlnUKlQkFfYq3jJMrgHLfcnOK+ZCvbi3WwRKjvXtTQACit+FUX3xYeBIIre7gVD6vgSVBv532cqgKmgdGVIDIQIzwYIzIYJdQTRr3KvOeVrMvEM43Q9yujjnAWp+/mED37dWrLFUa/W2D10hpOfg6vuoBtVDA6oiQPRhh79xMoQ3X2TtxLy4ld1J/ScSouicEovfe20HNvK7GuMPWlMvNfG2P6y1PkZ3TqfhJf19EiKtHeKOndCvHeNSIds4TaRjESeRRVRQ/3bvGuH0DV46/K3BIe6wLY49QkWJfAfh3iu6JtyXod7G8sa66HeOAmoh8I4wGtWcu+Kb33G+Nmc1ynlNUZe9Zl9LjDrIhaoCj07I2y4/aUzFWf6o7J14scinL7rDxedRWvviZrX9S1VRkhQBRf1qv4TsNTfUOqsQHsXwjuJdAPt8jP0QDwi426PC/he608je2UsPwada9ORbUpmjplM0QtHGkC+EGSiV20JPfTHtsvgUcQUjhQoECBvr98p45bakD7jegv+VG86sqWyC/9Mk2LhPYiVUtyuGHoFDygv+ow+Wv2ovSu3/S2n5X9NWdxw+5NXLda9A7pdS+L3rWl3UlUu/KeLlCgQIEC3fiS3vduXkL6BqxvwntnFcfNNbz1pff+ute+venNL8debvkPtz2qaqIqYRmJoVE3oP1mP4Qm++EXgH3Rj1zR19T19aJNo4A37r6iYSxRwnULOF4BR9RuYaMv6/Uxr0TY3EYsfIB45CBh8+XT4gUKFChQoECBAl2LuiHgvPCWf+ihh/jsZz/LRz7ykat6zec//3l++qd/mvvuu49vfetbr/k23jAHSihO/z//r2zfleDbP/fe4Ob3DdYnv3eZlS8+zi9rDr9ba2G8alDLdVE891X21y7R25Hi88N3cNuODu450cKjfgcdmJTe9xiXvUkG/qGbX/r9nezZfQsPnc1TzdqEdIUcHg/nSvTgsZReYNFV6Cl0UzYe53z4ARxC1JaX+OmeffxkZDf+XDtLFwawfuI0+ZTF+NjNVEdqrKZXmNEctmsmd+pxWhxQy1XqC0vktVW+7D6OE1F4z9v20REyUJ9PoUVN6mGNuWSImYxJNRrFrsWIWAn2RKKEwucoaA41N4GS8wjNlmjPa+yNDbKt3oZzZpXKqQXs1QqeCu5wTML64l6N7DYbawX8kRjKWBJ1IolSN1BMDbVfQR9QiAxDpFclrEHLyiUyc2cwJ8/hlSpUs2HyUyaV1RhaTCXSXiPaskq0J4ye6sDXunAdE7uukp2zWB0vkV92UOMJ6VUvYf3BPhIDmw/TXc+hXM1KUF8sZlkc81m6GGL6nMr0RIm8laXWNk18V547bk5wf59DojwtPei0toNobbeihPrxKzZ+xcKr1PHKdZyVCm6uilv18GoudsGnnvVxKgpOXUXLRAn3x4lIYB8jPBDFSL2yJ3pp2WXi6TpjT9bJTjlE0io77g7R0gOzz+YZ++Y45fk1dLVKvSZAcgkOVVi45wzFI7MkYyn2jNxDy/FdOCfC+JZPenec3re20nNXC6GMQfaZeRa+Psba8RVKCw6WpUEsBSKUeyiCFjMIpVxifSWi3cuEO6aIds3JCAd6qG3Ts17AerP1ujtHVfM2o0/lGHl8jYln83iOT8f2GDvvzLDjjhZatoWvPpS+U20C+xeD+82xVTwrh+c7MhSw7VtYXo2qrpA3FFYMh7ypSghfj8SIxhoAvj26i67QAF1mPy16ZwDhAwUKFOg1kGcVN0D9JrQf2zC+EpFTBKjXU8NoTWivJ4eCfPY/oBzfZs1eYs1ZYMVeYFUUp1nbC9S8TWO3iBaTkF543rcanbRJj3vR75J57vUgV3GgQIECBbpKyZD9V4D79fD8orZl3/NtPK+G59fwvCqeX2/2RV3dXNYcd2VfjNebr6k3+9b33R4R1UFTo5sQXw1f0W+AfAH3RXsd9EeuWNYwCmi8VmgDrkvAnr8CsL8YuBeuiFCwLvHeIt2ApiXR1aRsC2OCmjVOuXZR7jNdixML75OgPhY5SMQcDqJUBAoUKFCgQIGuad0QcF7klV9ZWeH48eMcPnz4ql7z3HPPyXDs7e3tLC4uvubbeKMcKMqdH6b13vfzuX/8Vt7e++ocLIF+eDmux2988lF+9tGTJA4N8z8879AWbmXs5DJds3/LfW0l/sp8G2sfGuTfPZXmH+wuQtUwe4Zt/v69f0vmT+PoP7bIZ//Jv5DA7/xijWfOF/DqHrUIPFUqk7QUdrsWT8VWqFQzVNyzzIS/jKWHKa0tcEt6gH/Ss4d0LsXqqUHsY7OUBvNcnD2Ef64Vf2mJi5HjlFqT9HcNMhhOMlB1SFQq+Lkcp/NnOVk7z+ChCEfv2c3g+G7mzy9ghxWUBOQ1lfm2ELlUDLQMuZKJ71bojsyRihv4TgS7jgzzrtmQVMMMJLvZnk2TOVvDP7NK9cwibrGOGtIw97Ti7olRTDusRkpkSx72chR/PoUym0R1TNSQitEPyoCCu8MlFKvTX5ikY/USkcURvHKNWiVJcTpMbhTcikUo7RJpKxLtrBLtS2Jk+vHVDI5rYFVV1mbrLJ3PyVD4SihEy75e0ru6SGwTYd5biW9rQQvpVGoF6VVfrmQprFksnDe4cLrCyOkqhWIVP1yla6/LsQMq9/TPEdPmZQ5yvfNW9K5jqNH2jePDd1y8Yg23UMXLV3HWyjhLZdyKLYG9W/Gpr3nYBQVbeNnrJka3gPVxIgNRWUJ9kZf0sl+dsLn8cI2xx+vYdZ+eAwbDt4dwsktc/vKzLFxUsJwMqmajiLQEsRLcWmTxLRfI7p8k6ifYfeFuWo/vxj8VBU+h9WBShr3vvjODkdCpThVYOzHDyuOj5M+sYuc1PCWBkmxBiSdx3DCesO7XffRojWhPnmjXPJHOWWK9BcLtOmZsM2+9Hu6+rnIDWhWX8RM5Rh5bY+yZPHbVJd5mYkY0NENBM9RGratouiL3g6tbuJqNq9Zl29HqOFoNW61ha3VstYKlVbHUsqxrSlmOmViExAMd08eJRMlEumkzu+gI99Ae7pF1i9kujwVVU2SqA1lrCorarLUtY9eZUUSgQIECXS8SP7FEehaZqiU3ilsYk8DeLU1vhsaPdTehvQiNP9zwtI/3oajXzzXwWtrfVa/UgPZbgP16W4TRXw+XLy59ab1dAnsB7iXAlyC/SwL8uCpyFAfXx0CBAgUK9AbdP0hYvwXsN4H/JtBvwH7Xq8hlshbLrlhXtJu19zKp2F5Bwqtfb0J2CdtlSb2gn0RrQnhRRIj/l5PYhkr9IqXqGVkqtfPSoEEA/a2wPhra/orvEyhQoECBAgUK9HrrhoDz0WiUer3OP/zDP/Cud73rql4jcs6/5z3vIRwOU6lUXvNtvFEOFPXjf8id9wzx8C9+KHi4dI1ofLnIp//tV/jZfI7PtvTznQUfN9eOd+mL3GJNUk0N8O2bb+PeTCu3nkvwlNXOjpiGdvtlvhl6hm3P9vALHxng7e++C8VUcT2PRy+VmJyuUPV9zig1HNXniO1hly1O6Daz9iiT5pcJqXGWi1O0Rjv4jZ2H2FMOsTrVjp9ysHfnOFfeTn62h8iMQjl7hpHVr3P7rpuhfw9rqVbaXNhWKOFVVlitLZNbGKe7C7bffB+tCZ2l0RmyWRc9YWNHfBbDGmvJMEaoA1eJMFZaEtna6Y+abPNjuNk1SoaNE4tCJIKpm8T1CF1KgqEpk/ZzLpxZo3Z2Ca/uoMVMzO2tuGGdol4nn6xRippU/SjuYhJ/OobumIT6NdTdCrUdNmaoQl9+gs6Vi8SyUyiuj+23U1pNkT3nUJtew7fKhDI2kZY88QGdyLZ2jNQ20OI4rkm1opKdrrE8UmBtsriehpxIR1LC+ngT1oe6oijtClaoSq1eYXbM4sSJZUZO1ajNxTA0k55BjSN7LPb3XqSzcwkjM4jSfgurXrfMfy6Ml3RdvzJ3uPCwL1QltHfzlQawF172NQ+vKrzskdB+w8s+HSW04WUflcVIm/L9nLrP+FM1Ln2nxsqYQySlsv3uEB0tZ5n55pNcOrWPciFFKKGhK0Wc0ipqyoLbi8wfO8fSwAhmLcauc3fRenwXytkEmqqTHIqS3hEltTNGansUs9Uie3aU0vkczgLUJi1qM0Vct+FZr7W24pkxrJqJXfNkeHYtXCXWs0qkc55Yb47Ythrx3nbM+BBmfJcMi38tW9OL76rsFcg5KyyXFxl7bpX58yXqdYu6Vadu21h2HdtysGwb1/bB0cBVwFFl8R0VzTXRXEPWqiiOjurqqJ7IY6gh/slaEd+RiaE0vtsfReLyoDRBvdqE95qpkGgzSXaGGqUjRKorRKrZ181r97t4LeU4zoaR4Avna6BAga4tXcvz1Xct3OKkBPUNL/sGtBdRUqRUQ+aul+Hx431o8W2ooi9q89VJC/NmDZefd1YkqF9xFlgT9RZ4X3FLG+uG1HAD2l8B77toa3rdGyL9TaA3xXwNFCjQpoK5er0D/6b3vgD3EuA3gL4A+0IbsF0C+ISE86+lBJiv1C5RrglYf5py7ZyMGiD+biy8l3jkEPHwASLhnajKK0cODPRiBfM1UKDrR8F8DRTo2tcNAef37t3LpUuX+OhHP8pf/uVfXtVrfuZnfkbmm9+1axcXLlx4zbfxhoHzv/4f+YtfvJ2PHT32Rm9SoC36/OOjJP/47xk6sI3fuqCAH2P17BK9C1/jzg6HPwu/A/eD2/jfH0nyVauTWF3nbYc8vnr4e1hfdTn7ge/xH1d/lnvedzvmrph8z3zZ4eEzeVZzNmOexaRhc1cv+EtF6ksmD3OZ86EvEfM7WCpfxAyn+PDeW7nf0qkVQtSsCGp/kWxpkLOVNpx6HM+3yC2dYYe7zIfNMJMtXTzfNciaomHMnafVLpMgQniuiFayCW2L03JLK45dZ2XaR9WLEKtTNH0WQhouSZJRgzUlx4QVwldSdPtpeqdXMEYv47ao1A90YXckcHUDFZWoYtDhRRkYM+g+56GeylK/LPJze6gREy0axSupWGmV4k0aq21hKjNx/NEkhm8SGdJR90BluI6mlujLjdK5cplYfgZNM/DTQ9QqHeTHFYqnpqnPLYFdIpSuE+0uk5Be6dvQYp0oegxfCzfSBFRVSqsO2ekya+M5yrNZfNeT34UeDRHrS2F0RdA6dNQ2lblwkWfH1xg/a6NMbSPutdGeCHNge4GB7ksk0iP4iRiDh+4j0rkfNdH3il7jvi287BvAXoB7Z7WCs1zCrTh4tUY++/qqj10Eu6JAKEzq9g4yd7VKaC+0NuVw6btVxh5reNN374XBvu9RWKgwfWGI3Hwc3zcIRevY+SWwipg9KtxdYv7YaaZTF9CLYYbPvYXkeA/qZBx/2kTzdQzDJL09RvetGtGeCkbMJNbWKUF94cwyhdPLlEay0mtQjUXReztQEilcIlSzCjWR5sCroZkV4v3zdN4+QXpPlVBipwT1ZmwXqpF43cPoZp1lcvYya6J2lqUHnhhbL/aW8IMiVG5KbyWmJYmpCSJaQtZRLU50o04267jMixtR4y8bYtfzfBk2XxTH8nBtD88Dz/XxXV/Wst0cE+tvHW8UAYQayxrrNsY2XrtlmVP3KCxZFBbrFJZEseT664plDJLrsL4J7gW0F3Wi3ZQRAm5EVatVHnzwQdm+//77iUQib/QmBfoR5VereKtZkbcEJZNCScQDg8YbRNf6fPXrdfy1LN5aTtb+Wg53eQFvYRpvdRm/VgbNwlOq+GoNDB9MH8Jh1EQGNdWOmuxAzfSgZraht2xDicdRxOcMh1C0wPP+B5WA8yKn/abHvWjPy3rNXpQpZYTEKSKptdBmdMt0MaLe6n2f0DLBeeQGm6+BAgVqKJirgV5LidQAlfoI5eomrBde/wLMRyWsFznrDxAN7UF9DY3kROj99RQE4u+LdAH6dXhtD+ZroEDXj4L5GijQta8bAs7/zu/8Dv/+3/97eVPz+7//+3ziE594xfX/8A//UK4j1he1eE2gqztQtF/+Dc7/9j9m586db/QmBdoiAb/+6P98gLufu8Qze/fzmUs1nNUkict/zW3aIif1g5y79xjvcdPsnDB5ptbJ3d024d1FPpN4iJ3f3sH4O8/yT/M3c/fum4i9vwM1rktL6NG5KiculVioWjzvW+wdMLBbJzDGFMbn13jE+FuiXj+r1VH8kMPhobfwsahGa0llua4TbrUx6zGy+RSj871U9ATZ1gLoVQ4bGnvX5mkzDOYG9/Ct/DRnznyV3clBbk7vJ1oGZ2IB3y1jbg8R2dFBvpjELeSIpLI4YYucCWVx0vFs1FCNNSvEtN2PayaJlC26n5+h/eQYbV0xeN9+itsTZBWLehMKhhSDditM/yWFrnMe4dNF6uNZ/Ip4WKrJfGl2p8nanRpr6SjWeAplIk1IDREf1mEflAarqF6errURulYuESvOYxgh1J59ePEdlOYMimdnKTw3gr24BE6ZcLpMrB/igwnC/QLWt6OoURQzgmKGIZ7G9kOU8x75xRqlqSzF6VWKk6tYJRFGTuSfc/DbNSaH5rlgFsmtZYgt76elsIuQDamwRU9XmUxLkUybRdtgmrbtvbTuFKFue77vD8F1L3vhXb/uab/uZe+UPNZOQ2UOwv0RMne3kbmrjVBXWHrTi9z0AtQvjziEwmXaO0dI9/j4lsL8xBCr4zaKMEsIV6gtLaB4dVL7Yvh3F1i45Ty58BJFN0u1WsGYTmFOpQmJ/T7VQjLXyvAtCdoGDaq2x1rdI9wXIdOfIFEx4ZJD/UyJ4sU1aXSgRQ2i29vROlrxI0ny01CcKBHpLNJ5xxgt+8+iGq4Me28IUB/fJUPh/ygh8MW+K3l56fWetdeBu6hXZC1AfMHJXfGahJ6SnnMZvV0WERq3Re+QdcZov+HC4QpgX1ptwPr8Qp28gPaiFuB+sU5pxVqP0CyhhQjpL2F9xya0X6/jrab0zr/Ci8P1ZTQBYXwgDA/cF/RlLYu3Oe40x+3mMrFe09BAeP1neiNkesOY0VcPUNVqNR5++GHZvvfee2VEn2td8tzg1WSKERGlAtVE2SihG+o4fSn5roufKzQg6OpaA4KuNturWQnnr5CmoaSSqC1plHQKJZ2W0F4VbQHvRW2aN8y+wbLwLRssW8Ji7GbbsqBu4ds2imGI0Fco0TCKrCMQCV/z8PeNnq9i3/nZPH42Jw1A5LG33s5m8ctbooFpeuOYa8mgtGZQM2kwjMbxWavhlYp4+SX84ipeKYdfKuBXyvi1qrix3HgbRTNRtLCMxqOEY6jxJEoigxJPo4jvLBpBEftBFE1FEXlPxDlgoxbng2YtotXIulGUF663tS+LaItKBUNvGAnEoiiiXOPHytXI8z3yziorzrwE9Ssb0L7hfV9y8xvrCq/6dS/7lmao/PXSbvQGue6vwfkaKFCgq1MwVwO9nhKQvCpy1VdPb8B6xy3J3/6x8B5i4QasD5uD+L7dDOFfe5k0AJvjjTD/W8druFesY79oW0QUP0NvxdTbMfQ2DK21UevtmLJuQ9fS11S0v2C+Bgp0/SiYr4ECXfu6IeB8Lpdj3759G6E6Dh06xMc//nGOHj1KR0eHfPAjlj3zzDP8xV/8BSdPnpQPlru7uzl79izpdPr12tTrP+f8jiGmvvO9V+1ACfTqaW6tzDP//NN0pGP8P8Uks+UQ9tlJhnLfZWdrlM8n7yHy9iF+90mDL1s9pD14/60Wj24b59SJCdJPRND3m7xtbx/v0jqJv6+D0NEGDLRsj+MXCpyfqzJi1SnGFXYcWOMCY2jnCzyRfZSEs51irUQuNEJf/328P2NxrGKwXBEP6w1CGQtN0clOxymc2kMu7rPQP0v3wACmbROvFBnGw2hN8kfH//9Mlma5Y/eH2RfaQZvto+bLWGMzKGoJbWcL9Za9eJZH2M5ixrKorXWciIevC6huY5UdVmZMFpQ0K7pOJW/TemaBnXMFbtu+k5YPHGWh22PazbLklSg3Y8vrqLRWDbadV+g+5RA5XsBZKOPbCqoRprZNZ/VOnVw0gTuSQZvOENJDJHcZKHs9CgNVsNboWLlI1+plYuVlzFAErfcAav/N1O1WymdmKJyaoPjsRZy1NXAqhFoqxLod4iJ0/PAgWqK7Aev1sEjkLXOsq8kMSjKDo4QpLZQpTmcpTq2QHZ8jN7HIbH6Sc10jXG6dh+o2Buo3s898KzG1g+JanVqpBk4NRfFIZWxa+kK09gtg303rYCttvSaRpPr9ob3lUDs9jT2bxdPi5C5C/pms9LCP7oxLb3oB6o0Wk+y0w6WHa4w+UqG8mCPVXmbXTWfpPnYTk6c7GHu4QC3vEIq7qF6OyvwiugHJ/gSp/gTx3gh6Hyi9Dk5nhbKZI1/JkhsroUxCn99KlBBLFywmni1Rtx3sbXnsgQJ6v0PC0EnlokRHIhgXNfSajmrqMNhKzWnDWo2iplxSd8zTcuw8MX1GGgp4ikY1nKYUSlMMJalrBi4uni/+d3B9UVy89THRF/98h4Kbld7w9pYf4IZikDYa0L1RBITvoEVAeKOdtNYWhLN9gQQoLy5vwntZN4tol9c2968A82ZEa4D2ZjSAV0OaoWx47FvVhnfjupd/ujcsQb0sPWEyfRHS3SE0o7G+vA0SILJag1oVv1JrtKtVWUtAJuuaBGFKPCYLzVp6W8t2HMU0XnvQ7pTx3CqeW5YGUaLdGCvjOQLCi3ZFFgHlZUiFl5NqytCRG7D+pWoB+mR7fdwEX0fxNBRfBwcUV0XRBPiLNGCuabxuQE58Ly8C7xLGN2DoBrwUgDGdQm0VALQFtbVFglAJRFUVLydAah5f1rnNfrG4kR9cvo0A1ALUZ9JXQvsmyH81vO/lMSnhuS0hr6gFOJfQ3HYateNsgnQJ18Wy7wPb5fs0a/H+P4KUUAgE7BUlEpEQVkL7dYC/vqy5nPX1XsM58robfuQLL/J+92SdxS8UN1dW1IaRhwDwGXHMpRvHYUuz/JDHjOd5+PkF3NUJ3JUJ3OwMXm4eL7+IV8yC5aHYIn2KgaokUfwYihdG8cQ8jqDoEfBFFCdfzhN53K0XYRj5SueOH0DSoEVAenEMSGAf23J8NAG+OH629AmZr4rxkPxMtpgrDWOTKwxSmnNnc5ndMDBobUXtaJXnias9j9W96pXe9k2Av+6JL0LqC4XVCLujh9kbPcKe6K2k9dYf+TMGChQoUKBAbwaJa3rNGm/krK+dplw9i+MWXvE1DZvCCKoals4cmtKo1fVaDaNtWb4+rom+HA/JsP+2syKLJSLmOasb/a0gXwJ8raUJ7ds2oP1mv73pgX/tAPxAgQIFChQo0JsIzgudO3dO5pufnZ29Km9Q8UG//vWvS6gf6I07UAK9uvruV58l9BcPMXrLQf7fszXq8wpd41/hrugKX7aOsfbjd/ChxSRtCz7P1zv4qZuLaAmV7/WfZ3rCwvhKFcVzGd7dz3v7trFjb4TET3WhdzTygi2v1vnumRzTJYsRXAaHYbzzeZbz55m4cJZMdT9GsYsLoa/RM/xOdoQV3mNU6K7q1Ooqdj2En6lhhRyK4y1Yz+9iNT5P511RBtIDjC4vkfd8FNXn5NQDnF96jJuH93G49X2UaaPNgUTNws8WsEYnIORQH9xDKb0DbJUWJYcZX8RuXcNOlgkrHjFHgYKCVYWSr7HiqRTKHv5kmZYFj1u7d3Hru+/Bz+iMePNMeqssuEXyXh0fHxOV4VGd7ScU4s8UsSfy+FVP5rQvDyqs3hmiqKXgUhv6fIpwKEx6rwl7XQr9VdzyEm3LF+havUSsksWMxND7DklQr3Rspz69RvHUJMXTExSfu7QB68MtVSIdNWJDYWI7htFFzno9gYLReCBvhlBSLajJNGqypRHC3XZZm5hl4fIYj458i2/mH2TFWWFwpY+7irezY+g2Iv0DqLEQhcUcq1NF1uYd8rkoqDqKHiWciNDSn6S1L0Zrr0Frj0lLj0G6y0A3rvRMtidWqJ+dQUtFMQ70UzpbJvvoKoUTIiS/T3x/UnrUp29vgZDOxNM1nv+bJZYv14mEl9l9e4HdP/kWCgs6l7+dY/bZsrh6kGh1Mcw6bq1MfS1PLVvb+LvRtsgGuE9tS5DcFieScagXFqmVa+TXVObOVilcrlObtXE8B9ewqPfnqPQuY0WWMWs28bEQsZEY2BGsSBc4Xbhxn9KdI6h3X6SjI0uH5dHieOKZOhXNIBsKkzUjFM0oisjdq+hb8rULs45G3vaElt70gDeE53vbDef1fi1IhOKX4fGb8F7AcwHGZX57CdWVF/RVWatiXFebdWNZY53mWHNd6bCpKA14vZajupQnN1kmJ1JPzNbIzVtkFx1yyy6WOCfInAAeiYhFOlIlFa6Qilqk43XSMYt41G44kAoZRsPjVMBFUYu/U67gl8r4lS2er+syzQ14v1nW4f06yI/KMT8iIHcdzyniuSU8p9QA6i8F2p0yvld9ESwTN3CKYsoHSQK2qYRRCKMi3juE6odQPKNZVHy7hucI4x8B9EW7ju+tFxEBwdqohfGUL4uDrzSK/Pvr8O6lJCC9o6E4Koqro/gmCiG5PYp82NXYTgHyVT2KqokoJDGUUAzFMBtALmQ29qNp4psGjqZj+yqRigChuYbH++paA4KK9pbvQQBjCdQE/GxrleCzAeMzEqb/MAYDGxBWwHoBX18C4gu49yLve/H3BLRPJRvf1BbQvg4JJWjfOiYBfKN+2X38Qom/J4C3IfaZ0diHAobKMaMB0YWxxPo6cv8am+s09/XGOuKaJWsDRK47sY21GojjXhisVBqFZi33vzBeabY3lgnjgJeSrm9CWVEn4lcaumwtYkwYe7yOkt+3+KyF4pUlX5SGGn6hhF8o4BfLV8xHJZloHG/rwF0cg+ve8Knk6+497nsuXmUBtziNWxJlBq/Z9qorzY1WUKNdaMkh9OQgmixDMte98MKX79ME91Ki3gru/c2xjfXEmDiOxbEgogOsHxflamO/VraONcZxG+D6Rce1MOZoAv0NL3xxLvY9fAHcm9Ed5FyS7ZeA8KJ9NZL3a0bjc6zPZ0VtnD/aW1Hb21A62mSttrfCD2BQId5TGAOu2HOMVE9zvnKCyfoFuSt7QgMS1IsyGN4beNUHChQoUKBAVylxfa3bU9StOQnRXwqui99Jr9Vve/H3Xa/QhPbrwH55s+82Af6W9HdiWzYBvvDCb0XXUuhaEk1NNtuNoqlBuq1AgQIFChToWtENA+eFCoUCv/d7v8enPvUpstnsS66TyWT4xV/8Rf7lv/yXJJPiwWagH/RAGRkZ2ThQxE2deYOEYr0RJKbdt/75f8NfK/HleB9PLenET59iv3UCoj081HETLccO8zsnK3yhto2uaJ2feWuJ+VyYxWSNBW2NsW/nKMwukXaS7B7s554dHex9bxvR+1pQdBXH8ThxucBzE2UWPJdqUqPeN8WY/jAzo8dpL95Mz9rdHFc/S2rXzYS0QRLKKkfMEodEaOiahlINU0/UyMeq1KfbqV7upTa8zIfe/hYiixajYxcZ8RW+XjjFyamH2N49zC9tuxvFTLISGyRfqNFqWYTqFnqxhJbNQ8iglmjHTnag+Qoht4TTNsli5zTFkIbhh0lVQ8QLPkrdQzF8bBkG28cuuHhLDolyiBYjTaalg9a+PvK9cJFFZt08tu9hoDCwEGbXCZX0M2Vq51bwyg5+1KS0Q2Hl9jAVtxX1Yjv6SopoJEzmgImyz6HQU6Wen6V1+QKdIvR9vYAZSWD0HUDddhNq507pIV+bXH4xrHcFrK8R6agS3aYR27Udo2UQxWwBT2s8tFbVRqjZZAtqKiO97G1d5dsXvsJfHf9T5rJTbJvr4uZTu2grt5AYbKX9lgG6Dg/QPqCRn5tndXSB1dka2dUYuUI7uXwrlh1reMFpGql2XcJ6Ae27hkMM3RzBtGtUT4yD4xE+PIDemcIpO+SfXCP76ArF5/MoqkLiphSZe9pIHskw9ewa57++yvL5Ap7t0H0ozZ4f3077kMb4owXGvlcgN1WXn0vA0kSXTjQDRshB8es4lRLl+SKFGQEeGw/3zYTGwN1xWrZrqIaJEesg2t6KYmsUJ2vkL5fJXS5Tmq3i4dFxW4qBd7WgFirknppn7alFCssRKlYGNRqh9aYYuz7eRfutGk5lDKt0SRbPzoOiY8SGG7nq47vQzLbgB+4NJAnjFxZxRyfxxidxRyfwS6UXAxcRjjsSwQ+HqRIhX42Sq4TIFw1yRZ1sViWfFbxJhHFW0UyNtAiL3x8jsy1yhdd9NGNsHEMyLLiES+UGsCuX8YolvMoaXiWLW8vhWXkJ3X0B3zUL33TxDRffdPANT4aWluGlNb1RC490AbUdUTSwNBRbRbVUsFQUC5S6iiLsYKqiLW7kfohjWkBbAV6NdWi7pb0xbjZAqlgm2nIdFd9U8DUfdF/mwfY1T7Ydp0alWqZaq1KpVqnV61Rti4qI4GG7VF2XmuNTs1VqjkbNUbe0NeqWTt3WqTk6NVun6CgUXIW67+H4HjoeabVG2nRpi0NLQqM9E6ajPUZXV4qu3naiqTRhPUJYCxPSw5haCEPd/M5eC8nbaAGnc3m8bO7F3vf5gjyu5P4U4b439qXxorFG3Yw8IOqXXG/9O2ssv1ZDhsv5sRXai8gTLwT6Yv4I4F0sy7krwf4LfpZIg4smrJcQfyu436gTKInYK6YckNBdGNUIQ4tiqQHbBXQvNmH7OoQvla/cBhFxYf1vCgCfFKHi4yipxCaITydfdyOCH0W+XcEtTuEUxnELE7jFCVl7laXGCoqCFuttwvot0D6+DUV7dT9nw7PdbsL7cuOcutXQQ55jrxyTofO3GphszBFhjLJlrqwbnxjrtd4wXmn2Nw1SzI15JK8r4phYWsFbXsFfXsVbWsZbXpUREdaPDXlcClgvjIBE3QT3iuhfRXSIslvgYuU5zleOc77yrAyLL7zqd0VvbsJ64VXfdnX7UETREMYwrvcDGQ0ECnSjasNYSBjoOE0jOFE3+40xp2G8s9Fu9OV8Em3XbZzb21qbxn4/nIFfoECB3txqAPzSFs/7Rr0O7oUXvuPmcb3ii+xyxfX8hcBeQPxGSaGJ/hXLkyiBkV+gQIECBQr0muiGgvPrsiyLEydOcPr0aQnpxaa0tLRw8OBBbr311gAm/4gHymc/+1mZEkBIGDjccsstb/DWBdqq1YtzjP7Lv+LE7u18fkwhP1VkeOZbvCVd5tOFo1gfvpOPjSdRV3wu1dP85u+ESXTkePKBUXR9G4pqE5kp8dXx59AXUxhVg+GBPt52pJf9v9CNuT0q/87cao2vnVyjXPNYNhSKLVXGUt9mculrdFX2s3PlI5yrfBV1KEaqax9Vz8Oq1xn0KxxVKmy3IVbXsUI2a4kapeUMuZUUoSMud3TczL5li+qZZ/iMdYE/XXyCaKSHt+7/WToNnb5QGC21jbVqnZlsDq1SJb28RjpbIKKr6K0t+LEEWiRKyFXRnSLV5DL5iEvWMLAMnZBh0KIblJdLLJdyOGGXuOmTEqH1Kw5GzcVbdfDLJjGzFWN3DyuDMK+WsXwXXVHZlguz+zmd1qer1E4u4ubqOHGd0i5YORqhXu9Av9CFnk8SS4RpOWSgCo/6zirV3CTppUsyT32inscQoe979qNuO4TavQdFNxsh1q6A9ZcbsN5reta3V4n2QWz3dvTW7ajhdoGppWehyC3kazrRtg7URJJzlTG+MvcAp/IXGbIGOTK+H+3ZOvXVijS6SO3uoP2wgPV9tPd5qOVJnOwI5dUC2dU4+Uo/OVEK7Q14v+TJcG7b9obZflOYbeYqcbeIuaMLc7cIyd94iGvnLHKPr5J9ZIXyhRJqSCVxJI15c4SKU6c4PsHs8Swrq8NEu7vZ8dYUu+4NE02rrE3UWRuvybI6Vic3KbyBG5eWRLdBy5CAmsJpU3je1qiulKgs54m1VYm0QGHOZe64jR4ONzzt+5PE2qM4eYXVpyuU52pk9iXY8VPdtN+apHhmmdXH55j++iprEya2EyLaqTNwf4Kdv7iNcFcEt76EVb6MVbyEXRkTZAbVyGyAegHtVZGbN9B1IwHXvNl5vLFJ3LEJCeQl8NM0tP4+1KEB1KF+1HQSRHj1aLgBXa4CVHieT3GpTlYYvcwIb/saa6Keq8nw/MIL1fccHK9CJOmSbjeIJh3CiTqReI1wvEwoWiIcLxFJ2kSSDkaoMfdkOHg9jqpEUb0Qiq2jWDpKTUERgL3so5RcKNgovga61oTihvxsoi9BerNIwNRcR/bFOnJM37Le+mvEelsg7jrQfYl9Is9jtkex6lKuieJQlLVLseZQqrqUmv1S3aVUdWRflqpDvWmA80oyNYWwCWHdJ2x4GJqD4+epezlqXpaylSNfLVOo1XBtDd8RYfPDGF4UERvDFsXXsD1TFk+E1Zf72EdVPcxQBTNcJBwpY4bKmOEyoXCZRNQhEXOJhXVCWphwE9yLtiimZqKpugT5ohbeq7pqoG8dU3UZecPQGtE4xLgc27KOqEWEjvVl4j0MzSQTbkENQlhetdc6Ao4KkC5q2S5tAnw5Vm6A3Bf+hFmPXJGI40cj5NeyqOUyMQ8UkZ7iCuiubgHu6/VLFPF+Aga/CeTZ5QasXy8C2ufH8WqrjRUUFS0uoP3QJrAXdbwPRb3xHwYLaCejdiw1oX0T3Iv2FRE8RPqMjgaol572oi2KiKTRjPIiIWCt3vD4r9VYKI0ymTvFTOE8a+Vp9Dq0+a1s87fR5XfR4mVQ6s0oFiIqwPprJZTfTFGhhMOo3Z0o3Z2oPV2o3aJ0vKLhyrUg27aZnJyU7YGBAYzryNgl0Gtg7CYNu5pRNsTvJBFhY0uqIXmdEOMynUsTvm+F66L8oI+41u+vxLEn2iLdjTAqX4/sIYyrhTFWW0sD1kto39IwyBEpbd4k4D6Yq4ECvTbyfU964Ysw/QLWb9Z5XNGWy3IbY2K57784RZWmxTaAvaLEKeYdGb2srbUX00igqlE0NbpRazK0f0zWmhoL4P41LJFCoXE85FGUEIaWlt9dYJR5Yyi4vgYKdO3rhoTzgV7bA+Uv/uIvNg6UAM5fmzr/H7/KzNOj/EPPTh6c9Ol77nscDo9wyd3Lua4uum55N791dp7PV4fobVvl337hJirVCn/0p39G1DlAb7GPrpJDrnyJ07Ml1mY1qmWf4aE+7n/vEHt/sRstJrwRPb50coXsioWjKcyGPS5GT3C5/t/odbexd/HXWKpcoMvPkm7dxVRXnbJhYakOuuOw26lx2HXp9Hxcw6YUq7NajjDpmEx1VElUBxkqqxj57/HF+QehnuDDh/977HAbRcXADCXoS7aJ1MSMVMrMF0qYK1najp8ifeIiuh5C27WDyK4hOoa7SJp5HDVLzQtjuzEsXRUpjjFUjYhmUF8tMb+2xkpCwYsphA2XNAXivoVWdrBmbdw1Ha2/neL+JLk2sAWXQqW3GmXPKYP243VqT8/hrFaxIj6F3SrZm2LYVhf6+W6MSoJYOkzrTQbebpvl1jJOcZ7O7Cjda6PEKiuouonatRtNgPqefShmRH6vV8D6U+MUT47gZIVnfZVwa5VIW4Vor09oRx9zlTBOvI9dew6j1cWDp7J8fb62xkh1iml3mXi6l93JW3AmPOaOT7L6/CxOuY4a1kkf6JSwvvumLjJtNdTiFG5uBN8qoIh87MYBprP3MXLaYPJ0Fdf2yaRc+lvK7LglwuD7h9CjVz60tQSkfHRFlup4BXWvibE/QrKlhpr/KmPPdzE5eyc2HaR7dLr2Go2yxyScVCWYz8/UWR2vszYmgH2N7EQdu9KAd5EWnZbBEJmhEJFkDU1dQA/Vqa7qLJ9zyU+WKMwKb2MfM2GS6k7hrGl4eY3UYJztP9VN79tapbd+ZTLP9N/OMfG1AvlJH0XxaN3uMfi+NJ1v7yW2IyPcBLHK49hNr3rXWmmEqzXSqHpCFk1PoupxlI1+o1Z08YPnzQFmrjWJh63e9Kz0iJee8RPTjXDDhoE2sA11+yCaAPL9fRI4u2Ubp2ShRQz0hMip/P1S57iNUPJOoVHbhS394kaxqmVKyxprCyaLk3XqJRPVb6FejlMrhqkWTWolHU/kYFc0GbFBQUMPiUgSYWIZk2jGJJYxiKZ1omlDeuA3+o0Simmv6g9ry/HIlR2yJZt8RVwjGvU6YC/VNsF6eUvfFeGqX0IhXSUe0Yn/f+z9B7AsaXqeiT3pTfmq48+53t/2vqfHg4MZeIIkSIkAuVxqtYoQFaHQ7oqixJCoCCk2SG6sNiSGAFEUVxQIIwpYEgSBAYgZDMZgpse0mfZ9/T33nntsnfImfabi/7OOuW0G02N6unvq6/j7+zOzTt0ymVVZ+Xzv+9laPsTc0ijsL2sULA3b1HBMFcdQ9+eWoRIzZGt4myvbG1zb3OLWboeN1pBOLyYcF4j8IgQ19LSMKYG5JZXvM2WXpUaBSlGT332j0YjB0GfkhXi+uEAREmQQJBCgEQpwj0qqKMSKAPlCdSI+F0QblhRDT3HsmIIT4jg+ruthu0NMa4imhyi6j6KGKNoYRfOlrX+chcSEJFlIQkyavvNe7QLcLxaXWSodZbl4hCUxSkdYLBzBUIqEUUoYZTIHUUY0WQ7ClDDODm2f3CbMcxRnmIbCyRWbkysOizM/XJeA91JkQhUpwM2e8v4wxB8MiTpdbqzdJrItzj/6CKYAKAK2l4qootWAsEj/MYHu32+k4YBkcGsC7W9KYB8PVsn8ifuZqklAvwfr9fJJtNp5VOfHx61GwEKhtM/BvVDdt3L1fUuc+00+MybFVLLX/Xf4+S1cg4a6R08b0NY6jI2I1NIouwvUi0eYKxzHLczkLgFCwS+ybUnHg2y7SbqxRbq5LR+P/HdE+wLR7kPC+j1oP5+3+ngX3x9ZfCOcRdqdvC3JpDWJmMftLmuDHkGpwNmPPIW1soy6MLdf0DCN93Gh1V47lD33lMnyvrPK/rIA8cFbHxvCwWTS5kK0GBIjshVU28U03Ynjj36348xk3X6x4956uW5SqHj4Nm9TtJh1+2S7eTGOzLsit+8+tjUtb2UjWmCI7xqRxTEnnMHEPvwB+q7xPI/Pfe5zcv7pT38aR7QamcY0pvGuh/h8SjPvEKzPgX1yaNkPWqzeuiSt1hYXa6CGpKm41vT296uKFoD7sP4A4uetAgr7OYf6LrpWxdBq6HKI7+wPzufduwXb85EXXhx+/w6KNCbbRIu7N4S49iAgvb439Px9yNeJucgVDL0mXRim7897N6bfr9OYxns/pnB+Gu94R/nN3/xNlpeX5XwK59+bkbb6vP6//nU+W67xp+0iO9e2uLj5Nc7O6/xu6zz8/OP8rfVZersadxKHD/9PO/zMJ+9lZVHj1z/7r3lmp8+j259goVtBDdZwwja3N2NevTlmFCicPnuMn/6fnOfMX66jqipfuNHlpasDymiMHIU/z67wavYvmLUtHmv+PTpdlbPzKR/1G9wYdLlR7HK72mVcSMBMmUsjzo8UzqgRlhkxKgRsKAqvoNHVDXa2yhRYZXfjszQ3PJ6Y/QwfOvUIBiFju0HPrOIYDnW3TC9NuD4eEwYhi9tNKl99luiLL+FHBurRZRqPHuP8J2MKcy2SzgydW+doahqDBR/dUqlkFiVPIev7+EnCSFe4Y0Z4hYCC4bGohjjCvrAb4V8P8XUT/54G/WMOqaWjaxpLSZELr1ssPhvhf2OdYHNAoMf0Lyj0zlWIw2WMqwsYQQm7bOKcVQhOhnSXPSw6HO+vMte+htVdlxen1YWzaKJP/co9KFZx/30WH7Pe6g5Dqay/xeBFoazvyN7SOG3Mok/5aAP34gMUHvoQlug3HwfEwy5rm6+wu3sDI0kpm1VmS0s4pVm8cULrVoetV7fZfGGTYBhhVE0qAtY/fIzFexuU3T5sf4tMKP6XP4Ky+ClWX4Vrz425+o0+o40x4pzvzMdqnP1YjRP3Oxj23Sfs/tpY9qdvXW2R1EHdEs4Ft7Drf05XO8nu4HF21ucYdFx5sl9d1pg/b7B4wZTZLqn7r8FwO5Kgvn1jT2kf4HViMjJULaLQCKguqyzcP8v8vTMk3piNZ7e58/UN2le7xF6KJnpX+yb14zXO/8oxjv/MPEYhr/DuXx9x6V+us/GVIWE3xLYG1FZCFj45S+NDy1QemkezdJKwRTi8RhK1SaMDCCtGlryxj7jofV7ch/j5PAf5qlE+tFyS/e2n8b2HUACmq2tE11aJXrtJcGNTvucJJmltjlQU+DgVEtUmHsbEg4CoHxL3xLESkglLX3lHYo9K0AsKWhG0YoZWSNAKEaoborkBquuhOT5aMUUrgF7K0FzQrMPvdQlVKAwm73ecWrzw0lUSbJ544sNYopf34Z6Hw4RRJ2LcnYxOJJfvWtfNl/ecJfZCMxQJ6edPFzhyf5mjD1WoH8l73O/dv4Dne7C9M5oAd5nFciRzvhwxDu8GyAK6C8BesFXcCVQXMF0OW8O18vUCtLu2+oZtGrpsLfL2Ie6/1Q25tr3N9e1N1nbbbHUG7HZ9uoMUf2SRhPkPTF01MVQTx9Ipl3RqJYdGqUSlZOM4Sj5cBcsWUCm/bxGzJZvFisNiVQwXXVUZjnz6vaYcg0GLfq/LYNhnNA4Y+TqjwKDtV+h4JTq+TTcwGQQKQ9GiOkkI05TkO5wGawJqCUvJQ0NXJ0MTWTwfMMRcy7sUSLMCNUPXM9EFAFVLGfpj+r7H0PcZhSFBmJAlOlmmSqW9UO7rmnhdcht+8RoJ1b14/uLhiUco3gHZ/UBTJkP8ewpxnBF4GbamUXMNTh91JKw/fcTh1IpNo/rW0OGDHkEQ8M1vflPOn3jiibuO12n8YCIN+vvq+j1r/Li/ShZ05XbVrqPVzqHXzqNPsmpV+HGKPSC9Z5EvrbaFtb7YH20B1q395Ryy23e5m4jP/vXwBq8J+/vRs6wGr8vPhAXzqLS+v+g+ygnnnrfsVS8svNPtHQnqsz1gv7ElYagI8W8KUP+DUtnLSwrDkYSWWbubA/hWh6zTIRW52zsArwK2CoeBSWuIxHW4/fIrmL0+M+LTLo7IRJmCKO6aKRPNlQhmCnhzNl7DYlzVCAkIM58w9QmzQOZgshxlIUHq7a9XUCjpNcpanYreoKzVKOv1yXKdklajJBRo74GL1mEaME4HsvXBOBnIorCqPktNn8NS7R9pwWQ2nLQimTibcJfDyaH5ZB97YwhnBwHWBWQXsJ1Jlk5HjkNoK3hWxNAKGRo+PXNMzxzS1foM0i79pMMg6cg2EHu7Us2YZdk8waJ5nCXrhJzPGEs/9PdSFIjJYpM9YC+cNMS+L7JogSGOdXE7VcGvWQxqGa1KwFZpwFppl14hpOosMeMuM+MeZc45zrx9lLox/57+zp5+t05jGu+feKvjVRYdZQFJOpYjnWQ5z7zJskeSjkjvyodvK243Is0mziKTEB9dOQyu5cBen+Q3zEUWYP+9/Fn3/QD3MNoijHckVJeuB28C7r23he2q+A04Aer7LQv06mS+B+HLpKKFZNIlijuH4L6Yd4nkvEuahm/x/oj2B4dg/n5xxQHcN7S6hPnTeHdj+v06jWm892MK56fxjneU3/md32F2VthnT+H8ezn6/8PTvPJ73+K3ls7whesRZ577HE/ObvJH/cdpz2Ycv/+X+c+u3+HfBSco6k2ih5+h+ugZfum+ewm91/i/Xf59zvQ/ySO37sOLdzEGLU5mIWtbAS9cHTJONE7de4Kf/a/u4+SHSlzp+vzuC7ssRCoVR+eL6W2+FP5zXDfjqeQzDG4fY6kwz8+fX2ZuFLD+eoebyg6vqTfYnAlIGkIxmXKhq3M+iSm7PlEh5I4d83Rq0k9nOWOmvHb1N3j1lW0s8x7qyx+maJt8uKByxLbZtmbwjBJF00GzXLbCiFYUUc7gxMYm6p9+k9bTVwn9DGvR5ciHFRY/bLJ06gGsmx/i5nrMFW2L9aPC5j5jLrI5ImztI5U4TBmGAauJx3otwa6mLJsJ80qUW+Bvh4w6Kf15h8HxElHRRlc05jKH++9UWXkuxv/6Bt5qi0ANJagfHq2idJcxt5ZJx0XUoo56AvzjAeGJiFptxKnhberNKyitVfm+qnOnpPW9tnIfinP3xei7YP1rt/Gv38RfXSORja9j0C3MuVnsUyexjy2jLZR4ofA6z/lP46DwWO1BHixewBXn28JuO8sIxwn9XY/2zQ6717sMOj5pwaT+8BLnP2pTTF6WvWLNEz+NvviEhELrr4249HtrXHsppOtbGGWTY/e6nHnU5fSjLsXawcVe8W/sPLtN+3qH+JJP9HwXXd/EWVzHWWiRVWMG2ml222fZ2Vxi2CsJ4khtRSjrTRbO5+p6q3D3xTIB5yWwvxnQuj5i+7UOg40ARbgk1B3O/GSD8z9VQzcT7nxjk7Wvb7L2tU1G6x6Co5dmypz5hWM8+D8/R3Eph39Cob/2pz2u/3+bDNc89HSIrTZxKxG1h+apf2iJ+pPLmI03V6MK6/JU9AeXsP6NaurDeSCt8g+HsC8/gLoVdHsB3V5Ctxcl3H2vRzSO2HqhSfO1Fmki1MYT0Z0onxC20OJGApRmmZxn6UGWvW5FiDMK2etzQhRTcQEgQ5FZnnSQBAnJMCTpekQ7PZL2gKTnkQ5DufuLfXPPsl20fBBWovLOTFCtDMVOUe0E1U1QnUhCd60YohcDjJKPKhTzkS7tMrJQh0AnCx0y3yIZCYW9KgeKllsxizwZetFEL1sYFXE8WOhlU86FEl9msb5iY9Zs9Iopb/9OLyxIkD9KJKgftEM2Nj3ubPms7/is3RqxseExzjJiW0FrGGRFlchUUIyDfydO5AstlemGoWCKl0n0gZeaSwGcU8JU9HqP8OJIvoTfz/WPlJAoGRCFHmEYEwUxcaiQBBpJYJIGNpn0RpmcUmoxmhmhGRm6qWMYJobhYhkldFOR69VDDrACdmuTIaC7AN97c5HFvrMz8Ijk886j6hrMC1hfcXNgX3FYmMD72QIoUZM42CYOtkj8LTnPkvwiSJoZROoiQTZPJ5il49cI0iJ+4uCFKV6QygIHYfM/DvLsi/WTdWKEkyzs/MUQbgUSpMtdP9//98G6IpQoSp7lR2BGksUk2USZn4YyR2kg3j15zInbmrqBpQsXAXPfTUBY8lu6sNMXrw1SaS/ccbwgETwLHZU4EBUTigT2syWTe48XuHDc5eQRh9NHbCrFqWXlNH54kXot4s6lQ+MyWTiQ29TCwl2wXq+eRTHyNkzT+ItDwNrL3guyV/2l8XP0464EtmecBzjj3I+p2hJEi/8OIl+S31VZht4PMLZ6GFt9zO0+xnYPvTnc/4u4USSarxAvVOVIFmokVZdUyUiFrX67h9IZoLb7aJ0hWmeM3hlhdD2UKJGff+J7LnIUvJrBuKwxqqqMqgrDCgzLMCylRGpCnEX55yARUSqcUDx5vlEYQK2lUGkreW4p1NpghPmjTDUYNDSGDZ3xjIU/axOIdki1AobhYCm2LHYyFQtLdUiyRELdftyml7Tpxx1G6QHgla+SggT0AtgLWC+gvZjnEH8C89UaJcroYZpbqgdBnoX1eSyKrpIcysYJSRzgRyOCeEAQjQniEWE8JozGRDKL7zSfOPKI40DO0yiQhYZqSj4Scd6UP99EFGcZNpZRwDZL2EYJx6pSsKq4ZpWCWcc0C29qa6PIfKgVzv62fC4e/2Hgfhiy3wXfRQuFN4QE66I9iBiTliJisDcvFkhsnaEVMDDG9LMeg7izD9nF+9AX74dYFoDhDaBHFPKJ1168H2V9ksWyLLSo4acjNsJVNoKbMov7k3+nGCxYx1gSwN48IaG9mBe08g/jsMz3ySxlN9pkK7zFhn+TTvMao+1bpLu7lDpQ7irM9hxqAwvxn4Iqi0ciWVAS5MeNuB9dwTAdec5kmsX8vRbDqqAa5t1tjN7SJSBfJ5X787MolfIHEoBNYxrT+NGHgL85GO4QSTDcmcDiyXLcnuSOhNZvhNBvCe6l8vsw1BeFc+8tAUQqigGjTTnCaOOueZTs3nVuoarWBIi/Yah78wmInwxx+x9UCPifQ/u3hvj7ID/uyqKLwyHeB9c6i2ufw7VO41hn0LXSD+yxTWMa05jG+zHuvJ/g/O/+7u/y1//6X+eH+WLcvn2bp5566of2b7xfYwrn33+RjXy2/ve/xW/5Kl8cVdh65RqP9F7Ampnnz7oLaI+f4j/1z9LoenwhWZIwdmb+Ff78yausVBb5yNIcX+/8IaF5ik+8/DGqWULgRSSbW1ywMjo7Ed++0sPLdE4/doaf/t/cT/GMwf/zpR0K/YxTpsUto8X/e/BrxGrKnHoSa7vIWeMvce/sMk+d0Cl1Q2lRPhj0uRxf4sXwOp3TLumMzbmRycM9hcXKAKXgs1UIeTozeHZYIWy+wODSc5xnhgfrj/INq8zQMLi/YPJ42UDXbW4adSLdxTFtQs1hIxLWwRnnLJvFG7fo/skz7Dx7E7wuhYbH3OMupz7yBBce+xWiDYtL6xtc8bfYKHcZVkLKtsXRtEzDN9BGCX7fY629yyU3YryosVBRWTYSGpnoV58Sd1M6mkJPwHrXQUWjPFQ5d6fIxdUC6bd3GFzexMs8wnJGXCmh9lYgXsE3q8S2RjIP4ckI7WzKkRMJx8e3KWy9TrpzTb5f6szxA1BfbLz1fiAuZLb7jF96Bu/FbzK+fImwExGHQsFfIU0cEl3luZmrfPnIK/QLAY/qD/FLM7/AyuwSZllHF+BSXNwbDgmHPkF/zM61Lpe+0aJ87yznP6ZQq9xEKy5hnf5FtNqZHOxf3mTnmS1utQrcbhe5cyXIlVknLU4/ksP62WM5hOzd6dG63sJWLZLLAaPXB3jXO2ThGEUdY8+1sGc3oBYxVBq0R+fZ2T7CaFBG0W1qR80c1l8wmD/3ZlgvYtTss/atW2x822PtWYU40Fm4v8DFn5/j2JMVqVYREPnmn65x5fdX6d4cyEvPCw/McfGXT0lY7zYcCZi3vzVi9bM92i+P0JQQ1+pAe0MYX0vIas25cpizLpYYYnm2kK9rOG9rjS6rzkXV+BuU93sjCTskwRbZpGJZAPs9UK/Zi3KumY135YKZeKyJFxN1faJuQCSU5r2AsOPTudKm/VqLwfUO3tYIwgRNyRBPW0L3/Tt5i+nhyRvOJN7yzGJvpXjtFEH7U1QryRXrVRW9pmLUFfRahlGNMcoBRiXErHroJWE5nsNNqbgT9r2JTZa5ZKkLIuOSCbja1umvZ/RupQzWMxIB6FEwCgblIyXKy0VKSwWKddFWwcQuGChxStTPXxeZ+6F8ncR87/WKR9GbnpiiqxLiG1Ux7Bzq72cLtWzRN3XaKLSBppfS7Idsd/Mh5nEiegxmchi6gimg9Tgl6URkuzFKO0GLUjQT0lqGV0vlZw6FyeshLQgFrDapiOGYcn4wDJmLlrA8v/stCROffthmEHboBS2a/R7b7THNTkC7l9LrwXBg4I9ckvAAoGlaglsMKJUTqpWMelVnoVbi+Owcp+eXWa7OYWjaAXDX1H0Avwfc9wB8Dq2V72o/bo8CNrsemz1P5i2Re2O2uh47fWFDP3lfJkp7Ce+rDktVl4WyxVIpZc7tU1DbJMHOBNrvyNYX+R9qaGYdzZyZjAaalc+Fg8J3epyynYmA5BLuJ3kO8yz+TCrv5WsgLtQcFCPsrdvLg7DH9vgOO946O6M7bI3vsDm8TcvflP0oxX25RpHlUm6PP+MsEodlxqMi/aFDd2DQ6WlstKDZEUUFGZ6fkghwr6g4msZc2eT0kssDJws8cq7MmaMOBefHo1/uNH5E1qujzbtgfdK9Qhb78vNcKx1Fr547UNlXT6OID7xpfMfYU9W/Pn5OwvpV/3XS7/FnvRZBta1QbyrUdqG+q1DfUbCC/DMvMjNiDRzv4DNQQMRRRWVcUfGqGuOqTlA18asGQdVCsS3R4AVdMdCUPAuFfz43J1lHR6w3MCVMtw9l++5l0V91GGPs9FF22tIVQNr4b+0cKLWFvbiAkgtzqHOzqAuzqAJQlkp3w/QgIPbHeF4Hb9zG87sEXo/Q6xP6AxJ/RByMSQMf/BAtyjBD0EMFNUP+Vjh4XrrEqrLgioQ0S2QxgFD+y/dpUkyQahmJrAvUUcXQDTk0zcyHYaGrVp51G0N3MHThoKPiRwP8cEAYDQnCEZEYEur7qHEmIb6egJHoWJl4PU0MxZSP8XAWTi3fMcT3sWj5IcH6AXBPiw5hQSVwVbxCxthJGTkxnuLhpSNZNCKylw7vWh4lA/w3XPAX3/lFWQTx9tB9b72lOO/oPHmQdNkMVtkIb+5D+63w9j70FwUXOaw/gPazxvJbOk+8XcjWY0mbLXn/q2yGt9gMV9kO14gm5xKiCEAUAyyax/aLBITbha2K89REOkuIggiimCyOpSvBINil623RD3bo+U0GXpOR+C0R+miJgp4olNMy5axEMStSTAsUMhcnsVBFcWAsCkTi/D6jaF+5L9wK5PEgxvycdMdQF+blezuNaUxjGu/aeWA6PgD4E2B/eL63TQDjN57KaFrhbeD9ntL7wML9B2XbniTDHLrHAroL+L4xyZsSdO8/NtXBMhYxjcVJXsqzPicfzw8Str9bhRZC9T8OrjL2r+IFV/cV/uJ5ufZZXOuMBPeOdep98/ymMY1pTOPHDs4L++x77rmHf/SP/tEPFNILIP+P//E/5l/9q3/FP/yH/1De/zTujimcf39G/Gcvce23vsL/uXSE5694XHj58zx1ZMCvN58ire9y6tzf4h/s3sZV4P+TnKTl2SxZfYKPXeHL1ZuYKhTmdkiKVe576TGOZXAsXiHoerx+43UeLlkouykvXO0QKAZnP3SGj/+X9/MnDNjYCXnUsCkaCf/e+31eSK9ghKdpt1/kHvd/xDHjPo40NH7qpIvbzNhdDcnSBC/Z5LmtZ3g1bbLz2CKzWp3HugrnzR6F8pCRE3DJSPiDzT4vPP9N7FTl00uP8iFtka+HEVcUlbpp8JcqNmfLFhuay5peJdEsNN2ip5r0koSqbvBwoYDx6nVuC9v7l59D6W5jOLDy6GkufPwXOfbk4zA2WH9pl6tbW6w7HbaPDbEaGg3FZj4qYkcqyjiis93m8qjNzVlw5kzmnZQVI6YUp+hJxjhTadsaPdvGj1WsZsKRKwbnbruYQUjQ3CVZ7aP6GdrQJE2WCax5xuVZ/KJDVFbgdELhgsqpe1RW4lXUjVdJNy9JZY1SW0E7ch+qsL+vCML21pEJW/u1bxNd/5rMsReTWqdI7Qv42Qxfbn+VP/Y+Tyfu8MDWMT658SAzQQXVMrCXarhHSthzLnY5JAoCLn19m1vPNamcLHH2qYiFsz3M+fsxT/0cqjNLvNPHf35V+jIrF46xelPh2nMjbrzgEXoppYaeK+ofcalUI7qrbcpLJRqnG6RCZXptyOjSgPGVIcPXusTdAVnkYdb6OLMbZJUxA7VANzzO7s4JRiOhAHGon3Rlr/o9WG+6Bzb40WjEuNXhxpfb3PhKQOeWglPTOP2pMhd+dp7yUq5G373U5cV/cZnrf3ybYXMgCxUWHpnl9M8c5chTSzTO1ehdDSSk3/7mCOEWXTuRUKz5qIlHuDsmaI5lTsaHqrpVBavhHID7+QLWzB7AdzHnXAlh3+7CofwhGraI/c3J2JBZqO/z+zfRrQV0J4f2clgLf6E9voTto2gftOfQ3c/ncllkn6jtEbVGhO0xmR/JC4KJHxMOY4JxTBjkQFjRMtxiSrmaUm0kFEqpVDWL37biqckh5mqu5pW/ee9af7AOKwErBTPOsxUfWhYjgaICFUNcvTyw8J08N0UrTFoF7I3S3XMtz4ourPD+YpgY+zH99SH9O2IMGOzPh/gdf/92VtmktFKivFKU8F7mybLh5u+HKFbYA/iisEG81qOWx9rGkDs7HludgJ1BxO44ph1mdBIYqIq8PL9nKOCmKW4mjPEzTCVFU1J0EwneFUchcjW8gk5YMihUbSquRUXTcZsK2kZKejsm2Ukk6K4dsTlyf4XTj1Y58WCRzA0ZRyO8eMwoHMqcL49kHoYDWuMWm60RW62I3U7CsG8RjsqE4zLRqEyWWBiasFXXKbgKMzWFuYbO0ozDkbkiJxeqnFmcZb5alOd676UQRQ7NgX8I3o8n8N6T8L4zPrD2Ezb082WHBam4t1guJzSsITVzSEnv4Sh9zKyDkgh77j0bZuMQrG9IYK8LgG/NyP32h11oEyURW6N1NgZrrA9usz5ck/Pd8TajaEiYvFnVmMQ6YVCDcJ7Ym8EbzNHv1hkMCoShQRJpwnMXU1OoFVRWZnRW5jVWlmFhCWItlO9zwbBwdAPXMPdHwTBx9DyLZbF9qs6bxncbotAk6d+SsD7pXCbuiiEKGuO8h3355IG6vnZe9rIXjjrT+M6x97M+1+DmeW8ul95i+96tDt9Hrn5PoT8kk7b4O9IBR6vPoM/MoDUaOcB9Dxzz8jmNxhLSpzsTWC9zk2w4/IvvQCiPRUsBc9JewD5oNSDWiXlgJnh6xNgIGGkeA8NjoI3oawP62lD2NLf1Mo5ZwjFyVbtrVnCNCq5epqCWcLUSjlpE+y7OXd7Jcxeq83a8TTvaph3v0A636ArAG+zQ95sS1AoVvpaAk9rUlTq1rE6VOmXKZKbOyE0YOhF9y2PMCC8ZMZagPYftwtXgrUJYx7tqCUcr4Kj5EMuuVpwsF98E3wtq+V1tHyAKJZrRugTo61Jhf1MC/E68K7eL90OAc6mylwr7HNoLF4VxMsyV8GEO4cVcZLFehCgc2fvbBfPYPpAXz/MHEbKlUdKVBQbb0R1ZALAdrcnlPZcAcQiKlgfzxhEWzCPMm0eZN1ZYGFZlIUsmjou9sdMUxCn/u2IhB/YC1O+B+4XZvN3ANKYxjWn8iEKce9ylxpcQXyi8J3kC9fMxfBvb9hzUv8la/xDc19QiSdqbqN4PwPtejpPc8UmEUIybxgLWHniXID6fa2rlPXEu9MMK6fgXrTMOLuP51xgHV/CC67KlgXjetnlsorAXsP4MjnkM5R0UvE1jGtOYxvsp3ldw/ty5c1y9elV+WIsH/cu//Mv8yq/8igT27zRGoxG/93u/x2/91m/xhS98gSRJ5IXCX//1X5f3O42331F++7d/m8XFRTmfwvn3dmRhzPgf/y6/v+vzr/suo2de5EPZdW6657kSl8iWbC4s/SJ/I13n9NYuX1YWeMafxU5SPnx6wObP9vjjnZfpzN7CqdVYfvU8RX2bn/Sf4kQyy+u3b/Hn117hI9UKlQ68cr1Dommce+o0yd89zTORx8OmQz1O2Axus6pfpq3EfP3OFzjq/CQnrM+gpyqNpTFPHdc5uVXDW80trSuLsL3xIr/1wp9w49ws80v3cERVuKj1OOZ20U2fbWPAF1abvHjzNq1Y5cLxj/MrM/dyZWeDPxv0iLOMJwyVT9RdzKLLFb3EtlYk0kxizaSF6L+pctZ1Oa05jF6/Rufbf0L8yiv4qx6m4lCZXaB29Bi1Y8dwSnW0XpHB0GCnFNE8PiY4G1IyTaqRhYOwCjZQRxHrW01eUwbs1qBUgnkjZlmLccTFSU2lb+h0dJPBLuj/oY31xQ5uxaZQ07D1hMpYo7auYXY0Is/FcxYYVuYZFypEJR3thMLMAwan7jeZ02/A+sskm6+DsK4szbKjzeBXj3Hi4Y9hWm/dS1Ko0qPVb+WgfuNl+Vpoyw+gnHyCL2c7/NvL/4bOYJcnncf5qeQTVJo64VaHYLNDuNOhes6hfLLA0Nd49ZtNOqtd+fhPPB5w7HFwzn4C89hPkkUq/nM3SbpjrIvLGCdmhfCftdd8CeqvPjumvxtjOipLJ1Ua9YATD7oceWgWs2DefRK/6eeg/tKA0aU+/s2uhPWqLtT1u6TFNiPNpZc02G2dxPOrKIbDzOkCCxfdHNafNTCc/AJeEgZsvbLLpT9qc+vrPkmUsXifxtlPVzj6RAOrLBT1cPOzm7z4/7rK7pVdaRFqVDTKRwusfGiRIx9apHa8wcaXx9z5wiDvYW8rVM/Y1M7Z1M7bFJYUkp5PIID9zgTayzzKl3c9sujAzl41Ncw9YD+TA3tRFCHU06lQsoQJqRwpaZRnqcgad4nHHRKvRzzOVVpZnJFGCqQuilCDpw5ZakNiyvcmjRPSICELIrI4mVioxvmFtiRFNyZDi9GVEF2PUfSM4VihP9Ro9zVGwu7d0Kgfs1i8UGLp/jozFxto1dLEjrQkVVPCe1v0bRdV7sIKPE1GZMlI5jQZ58vxZJ2w+ZfbBex+wymFoqFqLoqA6xK8FyZZAPbD8F1kATi1d9XG/zC4F3kP3ge9A9BpVU12lhS+4G5xxfcIUouUAmFiEseiL/h+aYF8zXUjltmxEsp6QlVLqSkJDSWllGQ4EdhhhhWA6afoYj/0YlQvJdMTEjMkNAIiJyGppsTVjLiYEBUSIjcmSBX8DYfodpn4ZoW0LVB/SjrXJT62TXBkF68WEkauBO+JVyX1G6ReldiroAlFnWpICD8jFO8zFiuzBY7PVzg6V2RhxmS+buDYHywQ5kdJDuu741x138/V92K0Rz69sehxfHeYasaRSsSRsse86zHnjqgLgG8McNXRviOAUDlaziymPYdu5eB+D+KL/f/dCAHvBaQfRgPGYZ7lcjhgPMlincjNUZv1zpjNdkJzp0K/M0c4nCXyaqSxUNPl+7SqBehWD6PQwSg1MavbWEUPwxQOCC6q6qAp+VAVh4JRomBah4D9Hsw3cAXIN3PIL8G+YVI0LGbdIjNukar1zhSSf+HrEUVcvnx5/3eJYby3LDGn8ebIkoikf4O4fSmH9QLc91fzViqicLN6WgJ7xRTW1NJG5UAhtVdNxuEKsnyb8saKsr35/t8fbFP0AnrjXlTzvd+K5oMUP6zjNRt7pNtNstEoh+0SugsQLyD8BMhrH6zvureCuxLai7EH8Ce5E+/I27mqgOnFQ1C9gCOLCQRs31t/sC0vNChIR4P3K5QQ6n4B2qXK/pDafq8QwVYd/IlaUBQTCPi9aB2Tve0FgBejrv/o+sOLAoGdCbDP4f2anItCjb2rezPGAsvWSVlwIPKydpxyT9l3nJCFLCI3W6ICVf6NsMHPof0E3M8LB4o5FFGoMv1uncY03lfxQT9ehVW+sGR/e1v9PbDffsv+64dJiKFXJXDfA++mnsN4AeWndu53R5bFeKJQzReg/ooE9n54S76eogWBUNRLdb1U2Z+VbgLv13OFdzM+6MfrNKbxQYg77yc4H8cx/+yf/TP+yT/5J+zu7u5/EJ85c4Ynn3ySxx57jIceeoi5uTlqtZocnufRbrfpdDpcuXKFZ555hm9961ty+L6/X+n/0z/90/zTf/pPuffee3/QD/sDt6P8xm/8xv6OMoXz7/2Iv3WFzr/+Iv9Lc5ZXnm9xz/U/574TJr+1/QBqbZ2Z5Z9h8fwRPjEzpvFsH7Ud8B/TFULfZEUb87M/a7H12JhfXfs3dJZdFq+e4078HD9pPclfG38IJYIvX3qFr16/wseqVeb7OpdW2yiaSumnz9D+yWW6jkI59nHCNUqKS6hFvND7KmPd5qTzKzA2SYSS7tgWR5Z8HtxconariDCunDlpEegb/Gf//L+iUX6UC6c+iXc0Ybna4ZzdZjYL0dKQ/tCjNwroJAmBO8vxmfMYXsJXd3e5PBrjBhGfJuGhRpE75QqXjQpt1WGsGXiqwVgxqBkm9xdKVAMfb/uPiK+/RLTpk25mZNsZ0Y7wjzRRVBMl07CNKkZYIWyU8R8ooXy4jL5gUcpM1ExBc3TKwr5xGHFtZ4crDBkWYipGzIIWMW/GqJbKQLUYxhbOFZfC53u0Xt2g220TpD4lzWClXGchKFFsCRWPiq80GFYXGRVmSFwTfV5n/gmXkw/b1Cs3iW49R/Olr8jXpT6/hL54Dm3xPOriOZRC/S33k9TrEd34ugT1yc4VFN0iXXmArxQS/kPrG/TDHh8/9hl+6fzfZr6wSNQdMXhxFe/VSxjxDlkUs/HtLrdvDem3faxCxtEnEk7+pSq1J34Bbe4RwktbRDd20Ber2A8cQzHyC5fic7h5O+LasyOuPTfmziWP2I+ozcKpx0rc88k6K+ccNP3NJ9/JOGF8dcDo8pDRZQHse8S9ISQeRq1PVuwwNhR6UZnW4AhBWMMo2Jz7VIl7fmEet3pw8VQovy//yRaX/rhD93ZAoZFy7EMKpz9RobRUxSxVaL045urvbLD+jW1ifDInIo5CNENl7v4Zlh5dQFcdvK2M0Z2U0VqMYMvCOr183KJ+j0P9gk31nI1dO6j+lYp+oZzeGePvjAib3gG4FyC/mQP8N/qxCYgvXkeRVUPNs6kerDeEgNUDVdh/DsmyLlkqVLshqpIg8IEaamjjFNWfAEE3RXdS9LqBXrdQSxaZbTIYq3TbKb1WyKgbCD6O0zCpnChSOVqgtGijGsKKPpE/rmQWakXRUEJUY2TxBLZPbGIPh6LvA/Zc5T5Rur8BwO9tU0T/2/fZjzHxHt/avsmfvfR1/sOrL/LCRkx/sEgWC8XbGE3rYOhDDL2Prg5ktswBpjnENFNpTa/roq+6gqopiLb2qlgWx4X6Vn0CDtn9iwIN8ZZEYg5maGKGBqZnoXs65tjAjEwIa8RhjTQTPVdnGPkzDIIy/cAhRJOvuekqlCs6R5d1jh/TmW/oLMhhMt8wmKkZ6Ib4nBQ2CZp4kFKxKuZv9Z6J10X0r+8HPoPQpxd4DMKAQSCs8X3Zb9VQNWlnL7I+mZuTLJb35odvl89VTFWf3E5FE5DsL7CQT7KUMEkIk5goTYiShChN37Astud5f90blsNUtHJQJChWMVASnSRWSROVMIIgzOh7Ed2xGCHdcSCzFwRUraGE9XVrRN0aMGOPJcAvm2F+jGoqmeh3jEuMsz+Ed0KMS6Lk61PFlnOxXhSoiOcunr2wv9/rFT3p6CAtgTm0Tbx2eTsDQ7Y0qLgGpq6wPRqwPuyxMeiyLsZkvjnsy9dOhHitFwsVFoslZl2buq1jqyrbmxo31zJurKfcaaa0BgqB2DcRkDRCM3xMp41d2sKp3sEs7GLYHTRxDGiuBPcS3ktLYlF0JlpQmCSZSZyahIlGmlmoyoHziHgsDafArFOk4RYltJfg3snhvZiL7WI/+m5C/K743Oc+J+ef/vSncaZqwPdlZLFH3L0qrfBzlf2VvBBMfm5O1N2ytUq+zOHlTOyxb7PtO4Ui2qucw5h9BGPuEQnrFW16geyHGdPjdRrvhdjrGy9U9s1og5o+K9Xws+bKO7K+/1GG6F8voL2w9F+XhQci39hX+4tCi31YP3EJmFeX0Xa7pJt7KvvtHNy3J9bN4hykVpWQPmnUeP7WKpFt8eRPfBJbuGiIVgjm9DNyGtN4r8X0u/WN/dcP4L1Q5wsFfa6EX5D29NP43iNNfcbB9QmsvybBvXAgEKGpLq69Z4Uv8hkMfeZ9d43ohx3T43Ua03jvx/sKzh9Wvf/ar/0av/qrvyot6eU/+A4+gPcemqZp/OW//Jf5+3//7/PEE0/8sB7uB25HEW4DS0tLcj6F8+/9EH20w//u93mxNeLvb/tYX3qBj5e2+Vz6OOOii29us3L87xDXHLSFJo+PE4695nN1VGQzKlEOUy7WfH76r7r8G+3f8/uLY2p3znCj/6Ls3fm/NX+Re71jBInPHzz/LK+sb/CYW+GoZ3NlTRTRwPHzDVZ+4STDx0v8XvPfUvcXOJ7ewzjcZZ0OWulRolER0zcx7QhOr6HM7XBmbY6Ta7OUsFg+7vJbl36d3/iT/x8/l/wNLi58nDsXQtbOd3CqQxacFo1om9HaJgwzZt0KC+V5CrqLm5mEkcJGFNOLUuphxOkownZsbhSqXDZrbKsOI1VnIHpX6han3SJHlQwruoqmvIpl7GBkCcauirptkjbrBLsG3lZE98YOg1tt4kFCEmSk98xQ+NkzuPfNY5cFUFTxnBS34jJTrBIOQ642d9jKBhiax1zBp26Jftka3dSg07fQ+zXqkUuwtsng8i38Sy2S9ZhyZFP1DRqZRcnXyNIanjuP786TCMBQ0GlcNIhOtSjVt7l4JELbvU7aupWrxMpCsXAOVcD6uVMowvv6DZH2t4luPC1H0r5NZDp8pWryh+ENhip84thn+KvnfoWFYv45IHpn+s9+i3jzDuOtkFufW2X7Rptex5cK69kzGWf+2gpH/8d/i8yfwX/hFqqpYz96Aq3yZvXnsBtz44Uxr3+5w80XRgS+QqFucvKhAifudznxgEN1/q0v1kh1/R2P0ZUc1g9fH+Df6kHsoRhjsuqQdqKy3l8CzeD040Pu+WmX8qnTKMW8+lbcx/ZrY17/7C6rX+tJFfnivQnHP5Qxc8bBrtYIWgY3f7/L1te7YKYUTqqyz3bz1V2pbD94PKJCxoDQglDATwsSA0XAVStFL8cY1RSrkWLWVQxbQ7d1dFtDszQMR5dZrBMFAGqWYZZNTNGPvGRIZwHD1aVFuvgb+W8OhmS7LalYyVpt0t02WbNF2mpDGOa2sk5EOq+TzakklYS04JOZonm0DpoYKkmYEgxCwkFI0I9JQqEG1LDKDnbNxakXMNwc+gm4vp8l5NJQBJSV6wUQFUpw7S7AngP3IooA8Orb2/i/XyOIA653L3O59QovrD/DV2+8yOp6g377POn4KCUdHpu9w985ts5DhlAXKeiU8IYm45HKeKDhDVW8oYY/VBkPNcZDFX+kkaYTe2AlH5qVYhVjzGKCWYywRC4kGMVUrquUMxrlDBWLwbjAzrhIc1RgZ+TSHBfYHhZo9gtEkUoWK2SJQikLqSY+1TCg6EXYwwx8lXSkM/ZtEjQ0I6FeGVGpelRqY4ozHtbMGGN+RFCNGIr+sUA/VRgmCoNMZZCKoTBINfopjFKFeKJW3VeoTvrHlnTRX14jUjQiNBJFI0adgP8J9Jf723e37wjsLKDzHrwXQDYWoP0QdP9eQzxecZ/moSKBOE0ZhgGBcKJ4ixDq77JpUzItSpbINgXdynv4pgZZImC+lgP9MCMRhUBJHzVuoaU9LNXDVn1sLcBWA2xNzEXhTZqzwn2LaQgSg3FsMorNPEd5FoVhQzk3GERifZ598W8mMUEcy8cvhnh9dD1F0zNMQ6HmmswWHebLBZbLJY7WSpys1zler1ATrRNcE0t/+4KIKE65teHz/NUh37424NLamLVdn2EU4SWx/HcMI8WyEmZqPjMzfQqlLoa9i2JvESqbDKPe/nm9CIFNRbWKo5cxtRK6UhTNcYlTiyAx8eXzU+Syqhx8/9VslxmnMAH2pf25XJ6AfPF+hWHIiy++KP/mgQcewJyo/qYxDRH5vvgGcC9a0QRtoua3iXaeI9p5nizoStW+PnOfBPViaJXTH7jvwR91TI/XaUzjh/t51413JaTfg/XrwQ12o619a/95c4Vl8+QE2p+U0N5N7Nx54hCwjze2GK7nwKUoCtvV/LNQKuuLhRzUy1zI82Sd3La/XJjC/GlM412I6XfrNH6UIVoDiJ71ef/6XGEviiNEiPYDjnUS1zqNI8cpzB+hG817IabH6zSm8d6P9yWc34s0Tfn85z8ve6B/8YtfZHV19S/8G1El9Pjjj/OzP/uz0r5+DzJP4zvHtOf8+zuS19YI/vvP8Q+qFk//wRb3bT3P7IkV/qh5gsbcOsMkoz77cZylB9hZamPpIeebIY2rGpt+iYKnUlUTnjgeM3rkGf77c2sYuydotu5wnR2eyM7yt+OPciSbIdY8/oevfZM7Ox0etWqc0Cus7nQYdAcUCzrnnqrxxZ99mvVqh4vqRyjvLFJU63jmDNfjjP7QphhZGHZK+VgXFjeY27Y4ulanlFkMC7v8sy/8U9n3/r8Y/z3q0VHWT8OtCyO2j49J3QD811m982c0d7c5MbfIkxcuMldsUBgbFEc63shAzxTqKjSylEqaEugqHdNmWyvQVEzaiklTdegbNY7YRcpJQDG9waz5Ko7RxlIySpi4VCiYp9FZJmq5dC/12fn6HXZfXKe/voOvDdB/cgXn8SM4izUSV6NneAyNgGpicEKbwa7YbES79MwWlhHhZMJRXGFrrLLaUdkKHayyTaGQYg09KpsxMzc1nNfGDF/dxmpFuMMER6mhm0vE1jyJXpUA3HIUKo2Mygmon2lRql1H9W+giP7kuo46e3IC68+hVBbfdOIq4fz1r0lQ7/c3+aLe44/0NgPT4uLCY3z86Kd5auUTOLpLur1OdPUVaV0e6nNsPHOV2599gd2Xd6TVt1uBox9Z4NTf+SvYapFMAL/7VtCPNN72hDkYBlz60g43X/LY3dJobYu1CrUFQ0J6MY7e42Dab99nMh7F0gpf9K4fXRkwfLlDFAb0ahobfYsk8Tlx9goXHrtO5eQKWuMc2swFlNIKQT/h6p/2uPwnbfqbPpXFjCOPRSzdl0gorlCg+WzM7T8SqnSNI59qUD1fwKxp6AVhGZ8S+4nsUZ4ECZEX47diBrdiRmsJ442UoJXJvuNoGXopRi1EKHYIWkASJft/L7JUQcsnlQiPKtnzU2SiWGaBMA0txTAyydmNoolZcTCqLma9iDFTxhRjropZsSdgP4f7mhXQv9Nm69stNp9vMdgQkn+VmXOz0hFg6bF5GmdrqNo77+nZWfW5/pW+ZBVC7S2U31JULVS6kq+KrIhdJ89vtV0V6w9tV/bmeRbLaSJeSyHaz7OE2OJlEzkVx1UqC2iiQSydEuJxSjQU70tCNJosjxNiMbyU2MtzEqQ4NY3qikXtuEVh0cKZtXDmTJxZE2fGpBPc4dLG01zafpbLrVe53l+lNYpoto/Tbz1JODhDUTV5dM7jP7k34mPniziVOZTiIqpdm9gnT8ZhO+WJPfKeTbJo/BGOYrxWgNeNGbd8vHaA1wlkFss7uwEb7ZgdH3ZVja6qMkAnlG4KKoqhYlgKtapCta5Sm1WpzioUKyluMcESxRtqQhhHuYo8jYjCmLQVkHVCsnZMspqR3NKJtjTivkYy1iBSc0wu3mdVgNwIxYlQixFaNcFoxBjzCdYcWDVVOlcUairFikpFVympGUVNoaIJTXSCIlBrNCYLBxAMyIIeqQDpAuxm+YgzhdgoEOtFIr1AIucukeYS6w6x5hCpJoPAoDtS6A4zuj2ffj9gPIowDQ3b1nFsQ2bXNnFtI8+OSdExKexnC9c07lLnSxivad+x120QRwyjYOIOsJd9Ce6FO8CeS8BgMpe3CX3G0Vv347U0naJpyXmSplKxngjVv5wnaFmMq0Y4qsh7443L8WQ5whQw/w0xSAwuezNsxMcJlEVKurAetrEUCy0zSROFnhfR80L6E/V/mLz5fkypwDcoOxMVvlTjH8yrh9T5Yu4YGpvNiOtrHi9eH/Hy6pDVLY9hHOOJzz09QzcUHEul7GqcXnJZnlFpVGIqZZ9CYYBudekGLdr+Lh2/Rdtr0vZa0oZ/sntKJaOA85ZWwtBKAueTZg5RJgC+Llt1+ImOphy0xRBwXoD6hWKZI+UaK6WazEfKVep24T134Ue60oyH3JEuBx3WBz3pJHCuMc/5xrx0D3ivPeYfh5AOHb0bOahvPkfcfJEsCaStvjH38AGsL+QtxKYxjWlM4/0Ufjret/QXsF5A+81glSgTZ29Q1Rt3wXoxn9EXhU0m2XAs20UwHJGJMcqXs4GYj+7eHhy0itoPw7gL3h8G+ohWE6n8cSDFC3tzxG+wQ8tymzifyX9ITObid8Th5UN/L5bFd6n4t2Qrr7cZH+BWF4cjE4XgvQFZr0/Wz3/7KTN11NkZFHeq2JzGNKbxg48obkllvSfHdQnuD4B9UUL6fJzGNU9NLfGnMY1pvKfifQ3n3xjr6+s8/fTT8kk1m01pZ2/btgTJYtx33308+uij0x4b30NM4fz7O8ThGP4//pjubp9fuL3B7Ode41PzQ/7V4COc+4mzLI2v8fSla+iFkywc/Qzjixk9d4ThaczchsJNA9fTqIbQKCssnLvO7/3kc2j9BVpbQ+7Uu1S9CveNlvno8ALzVpkRff7gq9+m0xlxn1vnwsJJhv0RW6treHGfl//as/gnBzwwf4RWaPGk+WlOOhcJNYVrQcqlpkoU6PhmQFIZ06iFOEHEUstkNlG4mr7GFzb/mBkF/nfWJ3Cfq7A2rnD7XJGNCyGdeZ9e7xprt75AN1qnvjDPA/df4PiCjaam6KK/cs+kvWPBrskjgc7DaUpRT+mVdcaujq9pjFWNNaXAdbXMllHFVW1qWUhDWeOE8xpls4PgwoXUwMoq2NoijnMC2z4GgxqD58Y0/3yb9usbeGqP5L6E+KJNNmMS2NAzxgz6PaxrXRrbCcxZDM4JuwGLcsHCSVLScUz3ls+djYhbM1XaS0USW0VTdeaNEitBgVIrxrwzQn2lSfrldbTNEIcGlt5A02dI9apULmuqgqv5lIp9KvPb1I+tYpXuoBgpilWG2mkJ6/XjF9BnqygFfV9NnjSvSlA/vv5Vnhmv8vXZCq9mXdln+vGlj0hQf3/5HtIrr5B2mmjLx+H4aZobN1j93adp/v6r9K500bKMxlKJ83/tY5SWZzGOzlD85EVU/a0vWoh/e7A1pH2jTehnjIMCW3dg9SWPXjOWoHblvMXJB11O3O8we8z8jifbUTek9bkddv/jFl4rplevsjnWSbKAY6evcf78lyhV2yhGAa1+Fm3mPErtLJs3Zrj8H3usPz9CMzOOPqay8nCAW/GlZfh4A7a/5uM1E2kdLu3DHRWrrGKXxFBwKuCUoVDNMG1JiyUI7q8rdNdUOus6/U2DJBLXeVLKDZ/q7JhKY0Sp2keNPMKdLrEXEwn1Z6IQ2yVip0xiF4ktASYdEt0mUgwiXwDmWMJcUSAh/24UEY3juxT+h6O8UmTpsQWWHp1n4cFZCe6/l8+c0abP1c+2eO0PuzSv+RCluchZhITOh/LhdQJE77f2zaG7tL6U6yZQfm9+OItra7GA8flI35CltXsi5cRvGQLwC8t40YJA3bOP11U0My8MCIaJdBNIwxiNEN9oMyjfoVW/zsbca3RnVsGM0dIyXnCWjcFD+N4J2U/15KzJ3/zoHD/35Anm6j+YnsNREnNzZ8Crt/tcXR+yuuGxvhOxs5vgB6lUOSdKhOqMUS3hYpEP2eJA8UiTYLIPZAeqckPDMg1sS4BqE8cxcQsWbtHCLdj7MNrU9P0sQLFQfgsFuOUbqBuQ3o4J78T4mxHD7Zh+M2Tcj8milFTsB2mCY6Q4ZoZrpjhWRrFhUJo3cRZs1JpNVrZIqxb6cgn3ZBXT0TGEpXsWosdD9GSIEQ9JvB69VodOp0e7PaDV9mj3xnR6Ie1+QlsA+bFQse+/01J5Xy2qlIsGMTZ+akpluReLSg9josZ/6xCW8gLiy9fI0rFt0QNPP1h3aFu5ZDFTLzDbKMhcKr4zhwih6hcAX9r8h3tg35us8+V7pkm7/r2cD1HUIuf76w5t37v9XdsTtNRHw89z6mHE22jjy2TJENWsY1cexKo8gC4qK94mgiiRsL43zqG9hPfj8A3zCdCfLMfiovgbomjpEtSXJwC/bBuk4nxgqNLvpWw3EzbaEX6S7+eaBamaSdMP21IpOhpzFZP5qsls2dyfV4qiJfQQzezRC3fpeDnAb3sTiD+ZR0leFJGKdiNpgqkVMLQiulIQZb7EWRE/Lsl2D4qSF0mInvcrpSpHynWZV8o1jpZrLJeqEur/sAG8aDFwZ7/VQJf1fpeNYW/fDUI4OywUytIBoeUJPwuo2+4E1C9IWH+uPi8dHKbx7oZo/xK3X5uo6p8jbr8uwY9aWNwH9cbsQ6hW5Uf9UKcxjWlM43sKUTjYjNb3FfZ7uR+LVltgqTbz5hHq+ry0/RejbsxT1Weo63PyXPqN50+ZhPk5xEdA/DcC/TduS9P8PkQlsCg0Vg+GcmieD+UN2/LlVPwewJ/85+Flnvg/YeKhexHGMMYcxRjjQwXV+aMlshWCgoZfEFnBL6r4LnJZDG9v7mSkwhlLegHlbVZM1aaoVSkdGkX9DctaVb6OP6zIkoSsPyTrDyR0lwB+L0sQP8lvVTQxCcVxUGYbOaiXwL6BMtNAnWmg2Pn51DSmMY1p/CAiitt4wQ0J7MehsMa/Rhg15TbRbmAP2Ocq+1NYxspEDDGNaUxjGu9ufKDg/DR+eDGF8+//SG83Cf7ZH/B/PRnxR7+2xoPjKwyW7udb/QX+7X/8G2y+sMp/+1//NruJSm3uY8zcf57O/V28cYrVMtFeMKi1Mk6MYhLForrU49s//zVKmk7ldZMvXFjnvH4f9UGN4m7K+cESug2ttMXrz91mvTlgzqnwoXOPiO67DFtX+f0T/5bdRpMHLp3l8r2XeOr4R/iV0/85/V4O30ZofGMDdjwYWT6eO0bREuIoxvGgHAu1eB8nalE0VX5q5SILvTFbz6xxZT3h5ukK2+cUbmcvc/vWl/FHHcq1M8yfu5eVeZWZap9qwcdUM4JIo92zMdp1ntwq8tHtgCAcsz2n49U0EkfB0wSod7mhlbmpVokUk3oasqRvcqbwOgt2B0fVsBMTMylgqlUJ6W3nGOp4keHzIf3nhnjXA9JiBg/EtI/3GJUDAi0hyEK8rTbxM7cJvnGdIWPU+2vUH16idqZGoWxiCTHzKz227/RZO1GidbrKULcJ4gKRWcCw8l7c9UznaEehdnVE9OwGw5e3Ubd0CmkNS5lB12dAFba+CqbmUS53qNTXqdSvUahuShiZBjPE0QqZdRylfAS97qLWTLSqRtb9c9Luf2CwdJJnj53ky1tf5U7/FhW7xkdXPsWnnYepb7VRTBvjwoMkrstu7zY7V67S+o2naX5xg2SssHLxOCeevCgvWsSuTunBE5QfOoE5++aL0EmY0LreYrgzkm4DjTN1Rn1VWuDffNHj9qsecZhRqGocv8+RsF5kV8hw3+qYiFO6X2vR/MNNBldGtM0yO2qF2NA59sCIi49fpmy8RNq+RpZGKLotYf0oPc+Nr89x7asKfididnbE8dNtGseHpBXR31nYUCukqSodEETOl/Mh/20hHkmEzXiKSoamZuhaii4U71pGONQZNR0GW5YckZf3pHTrCcUFncIRl9LpMu7pGsUVG6v+1v28v1MIVb6A9HvQXgD8wpxDcb7wzj9fkoz+9RGtV/tsPzfg9ldHdDZTaYVv2xrlGQO7pGMUVcySilEUve3FAN1W0OS1JKGSzoglAM8V7nEg7iOf52A8nWwXFt/5usOtfgVUN4oaRlHHLGkYBR2zqGGWxb+tY5V19JKw5hfbdaxKns2KfpcjQJaEpIN10v4d0v4avc41Xtu8xqW1Ibe3Ldq7JbTOHFZnEddvoKQO49TicknlVlFlaEEhU3go0vlQYrCSqRL0C4W9M2dNslDdCwX+ZN2cKVsTCHV/Zzxma9CnORyyMxhwpzViddNjYyeiuZvS6ymMBzqpgMniuSsphhXiFmLKhVRCyEZRoerqOKohAboAscLGXRd9j0UPdk1FFfvkKCEZRiSDmKAXyuH3AsJuIPcPEbI+QlOwKhZK1UQrW1A08iEcJGwDxVTJNA2BAuMsIxaq9nQyTyES72M/I+km0E1RWzF6O0HrpWijDFUcD2mGlmboSoJFJDuom1qEoQf0qyrNis5OQWPTgW4Wk/gRiXCNONQ3XRMFBq6FJYqb5DBwHA3XUSkWFIoOuFaKSYCdeSyobZbYZFlrMWeMpdtCSJHQmCXQ6gR6nUCrESplfKVEkNkEQYznixHhBzH+fo7xg4ixH8ltg0FAfEhNbpk6jZrLzATWHwb3IjfqrrzNeyXEBeFodIOg9wJB/1UyAe7tRezKAxLUa0b1+7z/jHEYS9W9APrdQyBfzPP1Id2JOl9sG4c5bBaitchXCccaqaeRBhqhryHLTRSka4x4z01Lle4bUZpiGqq04xf7Sq1oMHcI3M9VLDmfLRsUCiFh1pWgfg/ct7zmfr4zuEUQ+/KiecmcoWItYelzpFkNPyqzOfLoBt7+8xQ97XOVffUuxb2A5eK4fCcAXoL3CYjfEGPYk+4WIkSxxkKxxHJJ/BtVlosVlkWBQLEi1f7i+BexOx5yqbXN5fY2l1pbXG5tM5q4NIhiAgHpJaxvzHOmNoulT4ua381IoxHx7ov7sD7p35LrteqZA1jfuA9Fn4KMaUxjGu/vGMQd2cNeKOy3ozU6UZNOvEMnbkqgvxcCOlcFsBfg3pijposxM8lzlPU6umh39H2EcNTpJ235bwu7/m4sHssuvXh3f90g6ez/5hBhq64sJCjpVTR06aIkvovVTMUapZijFHuUYoxirFGCOUwwRR4lcp05jNED8TwnNv6THBcM4qJFXDRIChaBleGpPp7iMZZjLEeiIYcoUExkZzITyyhimyUco4xjlnGFuMCq4Jo1ilaNgshmHcesoAibNRHjsYTs6R5k3wPthwG8cCw4/OQ1DaVckkOtVnJ3gEoZpSLWiVxGKRfz4undSas10XJNtFoTy2KMxvt3J/5eQnoB6wW0FxB/po7SaEzbFUxjGtP4gUSc9CbKegHrc2AfTFqxqKqFY+5Z4ufg3jaP7juoTWMa05jGDyumcH4a31VMe85/MCL8jT9jcP02n7l2m2Nfvs7HjsG/aD4B8zXu/6Xz/JUn5/jKr32Ob7/0EkrxGItnfpLCh3U6DY8wytBfLqK8DOcHQ0q+QdvR2PzoqxTObfAL31jky3OrjO9Z5NPWz3OzuYG9FVDqW2y6Lda0O0SvROzc9qgWZnjo5INUZiy+fPxfcCl+hcXPH+HqkcssGnX+4dH/BUsfvkDTE9A8w0tVLnVUdkKFyI3QihElK6M3CLg2GBGGHstZzJlEZSUtMG9XKakWRhgz3u1xJ+xxtRHybed5rm1/hSQYM196CLP2JIZpcro8oFLr4sx3KRY9xOlXHJsU0iXu7S9z//UYNndoGwG9hk5cUBjpGhuqwzW1xGW1yhCLQhZyzGxyvniN406TomphJjZGZKBhY9lL2PZxdH+F0bcVBi+OGF/NL/DH96e0HhsyqHgoaYqagOZFBNe2WH/pFTov3cQqWlQvNqg/OEt5pYyRaGTrIQPPY3BUIbZ0QvFY/Sp3XJO1Uw30eoWGYfNIYYaLFPGvtrj1+gablzZIXhtib4jnWcdUGmhaWcItXQsplZvU5jepzd2kWNlC1QySZIV4uES4O08aCAXDGNV+EWOpTemXfpGN5TpfuvUnfHXtC/SDLveWzvM3tSdYooJz4gLa8bME8Zjd7m0GG9cZfvYbbP3pNllY5vzHHsMpOfQv38Zv9THqRdzTi7gnF3BPLeCeXpCW7AJAex2P3au70uq9erRK5WgFVVWJo4w7l3xuvpjD+ubtUF7rmD8uVPW5Bf7SGRtNV94MiC4P2fnDTdpPt9gNXXaMGrFlcORiwj33N6lFr5Hcvkq6uUnW7koLxCTT2PDPcqN7gd3BPHbD5cwnCiw+6FJZNjDLGpmoMlEVCYsyRZFgOehE+J2AsBcS9kVP94h4AsgFoJat2rUMzVUxCgqao5JFKt6OitfUCbsKQVcl6mn7ig7d0nAXTYrLNoUlYbuu4y4auAsGVvWdg/u/KERRwtbTPbafHdB5bUz/VkDsQeipJLIAQcEqadTP2cze61JYMrBnxGNPGO9EeDuxHMIyfi90R8WZ1XHmxDBwRZbLhlynv0XrAvHeSXV8lMmCHs3S3jF8THrbBJt3CLa3CJs7eM0W67stNkYx26OMtm/iB6JIpwtHRixfqHLu5AM42gUu33H57NO7rN9J8HwVW9E5pztc9GyOjHV0cb0tyzCKkBoxAQHDyKPjDVjzO2z5A9qZxyAJiZWUWFVINJtMcUB18oxQ5+ZuEKqSoQsbci3E1iNsPcY1Yhxh9a3lvb2FTbsm+qrrqlTC5+v3nq8A5gKWZ0RCdSxHRpzky3KbmKepzAIsh1FKJEacksh2AYfG3qlelqFke6b7ouN33pIgFxoJ1bZoWaCgydYFqsxy6LnKW9zeCDXMQMMQw1fRfQ3dV7EGKnoMRpZQVkMqBBTNCLuqkBwtkZ2ooJ6uoZ9pYM0UpOpd9HoXzyucPC+RD57zwXovStkQ9vaRsCZNULOIRTti2RqzbPRY0nZZYYsl1ilqkyIA1UBxZ1ELcyiFOVR3FqUwny87MyjawQVE8fr0+j7N1ohWZ0yzNWS3fZBb7RGd3gHEFVEuHqjtGwLgNybzmstso0it4sjX7Eeh7g2Hlwl6LxIMhLI3xnCPS0hvle9F1X8wjhB/UYRxIlX3+/B+osAX884oYG0r4s52wLpwaxhmRIFKEqgY4nNSF0PBLWiUixquKz40IEgSuS/IFhmTl7Zg5er7uaolgX0O8S1qrsKt66/TS5oUl3Q2vVVuDa5yu3+ZIMnfy9nCAiulkxLa69osWVqj6UWs9YW1fFeq10UIi/mlYkWq7I8IoF6uyV73O+MBG4Pevh39WwH4pWI1V+iXqixN8mEA/05C7KficV0SsH53iyvtHTmE6l6cE5yoNKS6fs8O/3il8V0VFUzjBxOpcHPYeX4f1qd+S1SiYTTuRZ/Ael30qz/02TONPKZ9NqcxjffnsSqcLgUIF3C8HW/noFyC+wN4P0oG+38vvrsrWiOH9cbd4F7MBdiPs/ANsD2H793Jul7Sko45e2GqlgTvQr2fj3xeOzQXcP77DdGiTNr1DwZkg+HdQ0DywRCCMLf9F+cCYkSxdA5IkoA4DklEwSpxnrOYeJL31sWTlgJvDE3R0RUDS7GxVBdLdeRQi8UDyC4AfLV8AOInAB7X/b5/X2Zjbx/UpzuHAf7uXQp8pVrJQf3szATgT2zyG7Ufm3YB76WYfrdO44PXwz5X2HvhDWmJH4QbcpuqCIe8E9jmcRRFJ5NFY8LVJG9vIh1ORMU4ySSL5STfLufZ3duEjEH+nVgnG63J2yoIh9MimlaQWVdLk7kYYl7Mt8tlcbsiqpKLsv6imB6v05jGez+mcH4a73hH+Y3f+I39HWUK599fke72Cf6bf8uvHmvy+f/LGo9am1y/+ItcuhYThyHpqQUWP7nCkXTAjd/7IkEY0Jh/nIUn7kW9mLFreoQtFe0bBRrrQx4ZjLil1rh9oov35FX+Z1cLWJ7H1aM+H/3UL7DZKzHYGGNteoRhwNPuqzyfXqa26qCumcwZxzm5fJLnLv47dlde5XRrnm/deBl91+EnvvkTPHThGCd/7hzKqQbdccYghDsjjb6i4bsRupOxUlIJlYiv3NniSmeLSNmhNhdyfrbKvdYRTsczHIkqOCOV5utrvDZu86f2t3h59FUSUpbmHqdYeYJgaLHStnmga1Cd7TE+vQVHd1BqQwlVzWSG45zlgU6ZwuUt2X+9UwS/rOHpGpuaw1WtyKtUaCoOphJx3GhxoXiLM26TGd3GSBy0QKildQyjgeOcxFLO4F1SGb40lkNYnLcveLQ+MmTU8CkkOoXMRFdUeRGh1dxmeG0XtvuU3Yz6ERdn1iELUry1McPuGI8YOj5WO8Q6cx+dpy5ybcFlmMXycTzqzvCwW6ecGWwPR6xe3WLzyibjax30yynmho4dVtGVmlQBGHpModCkUr9DffEW5bkWRrlBVvoU3hWb4IVrpMEA60yFwqcfx3iwwavmq3xl7fM8s/5VnkhX+CnjAQqVBeYe+hR2ZYax36PZWSXcvULwpW+x9aUh1Zl7mT1xhMTSieKIdLdHuLZL3M+r6vWSkwP7UwvYJ+aJbJexn2E4BjNnZnBqd/exG3Zi2ategHoB7P1hKm3mTz3s8pG/XqO+aBxcGNhuku40ia5vMv7WqiyK2Bw0uBbewyirsLjU575He8zfU0CZrUNB9ORuko1ukLSv0N00uP7SaW5dPUccWbKFgF3KqCxCZVmlsqJTXTaoHLFx6haqISTjForuCOk4iipO9jOCdsR4J2C8GTDeEsNntJ3P/d1AgnujnMphz+Tqc4FrkkAhHOTAPuxpxCNNXqyQ4N7VZI/0wpJJYdGUwL4wAfdmJQe6b/l5kWR4zZjxZkTnssfuS0O6lz1G6xFBb2KVrClSiZ5ZKp6fCgkJS48VuPhX6iw+UkCz3h7giOcbDVMJ6SWwb+bA3tsWr0EslwV43wtR7LAH790JsJfL8wbOjC7VsXk/+UTeb9ifZNFTfpAQtEeEu13CzoCwOybqB/I2QaDgZTFeluGR4mUJor4gtSPsskWpXqJWrmG3aoQdYZEesp75XNd9Nq2UfhXKRwyeOl3kZBViL5Dgtb3l0b3t09sIUQYa+ljH8kzURCFTIdVT+iWfZlWnqyiE4gefZksYpmZQJKUWpczECg0y6grMmCqlGYvinC1HYdZCmTHI6iZxWSdwVHp+TNeL6XixnIs8DGIGQcIwSIjewkZchLCML1oaJUujYGqTuehtPllnaXK+t16sM4UkvhciPpyjgdgvAqm697sBnhg9H68Xyuz3QiI/zpXN8r/cNlwxhJOCgVEy0UWWQ0cvGHLMHKtQLFXo3wrZeHXIxit9ef+EMWUzphiOKWshFTelfLJC6UIjH+cbuMcq0gXkO4XYD9vjmLWez51uwFrXZ60XyPnOMMwtSbOUipGw7ESs2GOW9R5LapMlNpiL11HFZ64MBdWp5bDe3YP3Mzm0F9mqvOl4i6KEdlcA+xG77dF+3m3tzcdSjb8XAooKhb0A+NWKTbXsSPv8asXZnwuAXyk70lr/hxFp4hMOXpegPhxekeuM4hmpqDdLF1FzK4wfacj3dRRwa3fEzeaAKxsjLq+NuC2Oy35K7KskoYqWGLJFgyXBvUqtolOv6liuUNwLB4iUIEkZCKeEKCFNU9k2S0S9XpfFJnuRZCFhOiZIB/jiQk/SJyVAVVMcw6TmVqg7VYpWEVN3RacPWawziD364ZhB5KOoKZqWMluyWSgXWKkWOVYrc7xe5fRMjWPV6vcE4N9piJYKN7utfYW9UNeLZXHkCicOoag/P7PA2fo8FxrzLBbfvG9P4wcfssXQ4PaBBf7uC2RRfo6k2nVUV3z2LMisTXI+n0cR5x0/ZuF5Hp/73Ofk/NOf/jSOM+13PI1pfFCO1SD1JagXv4/bArZPVPftffDelGr4twqhsheAPYfvjX3Ynq/LYfxbWem/F0Nedo1jEE5NewA/FiOS66T9fxwThEPGYZdx1MML+3IE0YBR1GPD3OaOucWwkBIUNRbdExy1znDUOssR6zTz5lG0d1E9Kp/TaCxBfSpA/W47h/jNXdLdtjh5zm8oWjkdW0E7f0YOdXnxffGevd9j+t06jQ96JOn4ANgH1/HD23krQOmOImUIE0W9yHk/RgHY7163dxvppzL5W+1g2/46lUwUU6VDknSU52REnA7kPE1zd7M3hrifPVC/D+0F2D8M8rUicWTwzLdeIUttPvaxn6JYmEVVhPhj+lk5jWm8V2IK56fxjneU3/7t32ZxcVHOp3D+/RfRv/s6m994hr92aYez377JI/fPs/3X/1dsfP0mr3z1KrHoJXz/MawLBUYvv4J6/aq0Pjt//jH0R1dIFlW2oyGjFxzKNzI+tLNOQpGX6xbDE9sctSM+MhhxJISjj5wivvc0r3YMjPWEUjfBKwz5RulVvrD9MuNWxOxmnVPcw637n2Zt5kXur57h5eBpyhtVPv4fP41/M6VUNLj4yRPMf/Ik/YIjQX030oltjb6b4JNyrKxLq+LPX7/Gs5vbRNmQcmPE+QfrlCoWDdXhfn2BB4wFliKH57/4NP/ihd/jWS6RiYvgp5+kMvsQo5FBccvkses17r9TQSv5DO9dZ3jxDsnKNqmZoCsuC+pJ7tNPU78ZkN56XVbvD0XvOEOjqdtc1iq8rJa5jY2mpCyZfS66tzhb6HDMsLCyAoofSLWpZR+lUDiPZRzFvxlLRf3gpTGjXZ+1C122nuqT1VPqqU0pNkmJCYyIwISeUNy22ix6AVUjJdOEJfWIzstNxlsDlBkXs2ZTTCySxdO0z57kdSdlnMbM6Q6PFBoS1s+qFq0gYMfz2RmP6W10CW62Ua6GZFdTlDsaql9Gz0wMI6Fa2WR+8RXqxzLsBz9DurvJ+CsvEu8uoBSPos+VcR6sE99j8O3qC7x06yvc2zGYUYo0Z4ocu+eTnG/cx8jvsNu+idJ6hfS55+m/OkupeE6qr5t3OnTbQ8yyi2EoaKJXoB/KfneKF2BaOppjotRFNX2N0sUVFj56Bvf4bN4f8FAIq+qt14fc+PMtXvyzIcN2xP3Hmjw+fxk77O7LLtRGHWVOVOLPMNwyaT2fcPtmmY20Tug6LD/m8MBfLbJ40dg/oRWVsGnvFmnrMlHzCr07Ib1tjf62Tm/bot+06bcLZGn+mAw7olwfUJnpUxK5MaA8M8atZaiGLSTkuV3t4axZZNh4wxJhuEDgz+C3VbzdEG8nwGsFxL6PZkWY5RS9kEobcnHCL0B9NNSI+gLc68RjDUXXpP23UdInSvsc2AsF+nA9onfNY3ArIBwkxKNEtgBQ9Uza51dOWtTucXGOOuzc9Ln1rRG6pXD2M1Uu/EyNwswPRr0nixU6yQG8n6jt9+Z+Oz7oHy8U2poie86TpmRJAIlPFotjzEc3BujmGM32Gdtjum5A0xqxZXRoG12iQoJbdVmprnDUPsKx7CgL3SXiOyGvX93kaxtbvKiGbKgFSlGZeb/Aomcw76uYAjBrCV3Xo+OMGNQ92o0hg4LHWAvRXNBchdl6kZPzdU46s6S3K1y/pHP1TkLsZ9SFC0QCc5ZNTVEpZKALOFhSiW3w1ZSxkjAgoUdMJ0voKHlODp9uKUjFfNnUqDk61YJBo2LSmLWZXXIouTls34Pworf33rKAkz/siIOYoH9gnZ/D/HAf6h+sn6zrBnLfc2cdjn1sheOfXKF+tsbO9bEE9XdeGbD+ap/xbkDqxZSdhGIWUPCGVJ0Ep6xTPFendGGG8oUGxfMNzOp3D46DOGVdgPqez9oeuJ/kYFI4Il62xQKsOCEr1kiC+2V1h8VsAzfcIYvy/t4HqvuGhPVSce80cni/N6zqm3uqCmcPLzoE6w8gfrfv0x/4dHse/WFw4GQwCWGRXy3bEtRXyjnAl/MJzK+UxDZbwvyCm7szvNNI4yFB/xUJ6qPxKig6VukCVuV+jMJZklSTDgyiXYNwXohiAbgzHNuQ/+aPwgVAKO1vtYbcbk3A/fqIGxtjmh1xPCrEQmmfGqiJLsG9bYihsjhjUSmrhGGXUkHh1PF5qhWLYiE/dqQrQ5y7TkRxRhAntMYdtgY77IyaNIdtdsdtqf5PUw1LLVI06hT0Kq5ewVSKBLEirzmL+3qrMHWVoq1RtHWZS04+LxyaiyyW9+Z7t7WM7+8Y9+Nooqrf5vVdAe232Bz25baSaUlQf7Y+x6naLKdrsyyXKtLidxo/vMjShLhzWQL7dLxFOt6WIxFzb0c6guyFYpYkuBeg/gDaL6AWFlCdebn9g3ahLooiLl++LOfnzp2TatwfxxDOJ2IfSXrXiXvXZU6DHnr1NHrtAnr9PFr5hCwU/SCHdFuKhmThgCzsk0Z5lvPJOjFEryWtdAStdFQOcaxM+9C+/47V3Ka+sw/wdcWUML6iNyiq04KyN0aYBmyGq9wOrnDbv8pacI3t6LZ03TJUk2XzpAT2R+zTEtrPyf7Myo/mOBaOAgLU7+ySXLlOeuU6WRhKa3zt/Fm086fRzp6SPe6n8YOP6XfrNKbx7sUeuI+T4QHATwaHQH6+Pp5A/XR/LtaP5bXK8Tgv5HWl40kuztlT5OsTqK9ppQncLx1S7OfzfF2+XVWnyvtp/Jgee4nIAylW2CvGEVmoxPJ5XpCjoL9pHYduL1w48t8VB+vW1zc5evSE/HencH4abxvTnvMfnMiGHsP/+t/w39k3ePZfbvFUo8OVR3+ZdGmZM/eaPPPba6xd2SatVJl59Di7WZ/g1eexhj2OzZ7inodP0Tt+lHgObt/wSV40uNjZ5YFBky/OLeDpKvPugP6sx71xxF8d2yw9dITVk4tcbxmUNhNKMZTPwlX9Bn/26qs8P7qD055BW2myPvsK86sXWZ37CrPzLv/Nyv+B5r/v8dKf3WbU9ZlbKnL2587DhUV6qYZoP6sZCoGRMc4y2WN2rqTypVuv8s2dLv04plYK+MSjxwhnR4wIKSsW9xnzEtQX2j6/+kf/nM/d/nMS02X2/o9ROnkPI2GVPchYWHc4e7POqY0ycyMD/1wL//wm3pkN0spAquYq2RzniudYCuZQL18m7Kwz1hN8U6OnmrxqVHlZq3JVVigmVHSPM+4m590+J80yc8IqOuqhqjauew63cB7DqBHuRAxfHjN4ccxGq8P1i7usP9DDKWk0sClFQrmqo6IxMGKGVkzZUjgqAPCoS3/YYtwbEI0DCcQSR4VZG2OgE5aP0Vpc4XISSaXwguHwiDsjQf2i4TCIInY8T45OEAgXd7RBiHFtTPRKQP9bAWbfxnV8GtVrlO0RpXNHMfSvo4gLXOZniLcXiXd8qYy1LlboXfTYMZ+n0O2wmjZ5utDkoeOf4KNHPkUBg1b7OubOs1jrAnQfQwkXJcDoD8e0djzG7ZTx9pAkiMjihMQPUZJUwjH8EMYBuqnhVh2qZ+al9X+xakj7b9PvkQm1o1BrY/BS9xzPrB4B0+BDn7F49K/MYCzOoLzhx6X4Khu+3GfnDza5+ecjNsZFfNdl4SGXh/5GkZUHvzuglUQRw40RndUhvdse3TWf7p2I/mYi+6oLZa5uJlTmAsqzAZXZMeXGkFKjR7HYh8wXZJMs6OfgWdTbunOo1eNyaNUTKOWjJKGNJ+ycdwL8ZojXFKBzTOR5JEKVSYjqpNL+UQJ7obYf6hLaR31dXscXr20m1BeKQumoxexDRWYfKdO4p4RVM9h8acwr/77N5gsjCjM6F36+ztlPVTBc7d27KBP0SAYtvM0O4zt9xpsjklEPnS00pYlhB+h2xLhqctPJuBqNuTpucWO0JXuDKz4sjhdZbM8zuzXD7FoNa8vAC4SC1aMXeYyTgBEpm6UqG/UZtmqzZKrKwqjPsX6LWb9L6GjEVhHFqOBmNUpxFTd1MXQDo6pQOmIwf77IqYcalM+X+drlEV/4VpfN3ZCFhsGpszZJJWVt6NPrRYzaMXEvRR9lGCMwxhn6CNxAwfHADJS8Z7wq2k8osp+2XdGwCyqureDoCrZsxp2SjmOSYSh7yctdVBXvp0P1tEv5VIHqmQLlk67sc/9ejThO2Xhpl9WvrHP7q+t4bR+34XD0o8tyzFyoy4uG7TWPzdcGbL46ZPP1AYPtgMSLKFgZZSPC9YaUUh9bFJgsFHCFqv5crrCfv7eBqr2zi+6yB/gokpD+Ti/YB/Zivjs6ULlXbJ05V2HOipk1POb0AbNql1laNNJtCuH2G+C9LoG9tM2fKO7/Ini/FwJ4D4aBBPV70F5Y5gtb/d4E4B+eC2B+OIQiv1y2qAn1fVl8thskEjTnsDmVOW9vsDeX0H1yGwHfLX3MiblNTs5v0SgOCGKN65uzXNmY485ubdL04CDEcym6JqWSRbloS0v/vXme3zAv5Y9LvgdpQJaMScVFiHhMJnIyJotH8oeUZs6gWXPo1jyq/t0phsdBLKH9rdaIW7tDCe6vb4zZaIbSHn8P2iuJJueiX4lo2aCJ51EQqnuN2ZrBbN2Qx/fyrMXKnMViw6JoGziG+CEGW6MNbnSucKObj+udK4yjoXwMdWeG07XzHC+fZ9E9y6x1kiSxGHoJQz9m6CdyLpT8cp1wxBDuGH7CwIsZ+YksKnmrMDRVwnpRtFN2dMquRqVgUHF0KgWxrMu5yHLu5m0xvlP0fG9fWS9s8a93mjTH+XMRCvuT1RlO1cRzmpXQXizb0x7270rIwkGvRerlwD4dbeXQ/hDAJzlQ4yi6va+8P6y6ly4gRhFFd6Xbj8zvgnvDNL63SIMucfcaSe/GBMZfk2CeNHd4EcUYeuUUilkm7l6VtxPnoGgmevUMeu08ev0CevUcanH5PQkw3wTZBVSfgPYcsvfkNrn+Dbe5q2f2Xqg6qui/LQpUzBJZ7JEO1vbPt1ENtNIKWjGH9fvgvnjkx9KRYho/PhGkHneC66wFV7kdXJO5ObF7tlWHZetUrrC3c5V9XZ//0QD7JCG9eYvk9askl66Sbu/IAnXt+JFcVX/hLMrij+axTWMa05jGjypkC8e7IP7gELgXWSwPDgH/gdwmbpOmB61FDoew+s/V+iUJ7XWtgmksYBlLmPqizIY+M/28ncZ75jdDmo4PFbBM9vN0JFta7O3zBxB+cKj45e72kz/MCAKfr3/96/wX//l4Cuen8fYxhfMfrIg+/22u/cEf8/e+3eHM7ds8ccHld+qfQTUdarMJ8zNlXvqjHbptH31picbZBTZu3yDeegnLsLl46igLF07jLS0yVDLuPBNT3xnzs/1X+fPjBbq9FZa8jFq5xzdPKriZw0qiMVOySGarVH2bs12dqoAWjxkUkiHfeuYyT/u3ebbyGp3qLU6tPcGL8ZdI3RH/4OJ/yd986mNsPrvFC//uCq89vU4UxJx4bIXSY8cZNWpkQv1ppNI+NpRKVgXHVNgetmkFISNhJ6TBqcUKzkzEutGmo49RTYULTp2FAL72zT/iC69+iTQxqC0/gvHwAySuhh8Jq2wVY9vi2C2bs1tFjrULOKWY4J5totM7xMvbZEqIPcpYahoc6RUpjjQyNSAsQGAZDDWTy0aVbxs1LqsOgRJjqz5l1eO0lnAigwVlm0WlRyku4IznsAcV0RCXdBgxvKXS29C4Uk65fv+IrbMeZiljDouFvk0pLBCZBr4JiRJS6faY3dol2NpmkAT4DR11xkYp6GRFnURYjnsJ467GeuBw1XCIFAEfIx7a9Xio6TMfpsSGTrtWpVWrslur4FsmepJSfrVN5ysxaauApblYxpASXUrpLu7cJQofWqbwqb9LdDnBe6FNeEWA5QzzTEZy5hYDs8Pv822+ld7k7Mw9fOzIp7hYOU803EEdb1EOIowtSFviQn6CWtpBW8hI9EUCv4E/KuO1E8a3dxld32BwfYv+zSbR0CeLEnmtURH9vk0N0zFw5yuUzixQfeQ0i595EH1xjm/8/oAXPt+nUNP5+N+sc/Ejhbc9kQw2PXY+u8X1P+xyu+ngWQ6z99g8/LerHHvse1OdSvi/E9FbC+muBXSF6v5OINX30TgHLJqpUF42qa5YVFZMqbovlTZxzZsoo1ukvdUDYC/stCvHUKsn0AS4rxy/68Kh6BPut4WFvI/XHON3RoSDMUnoS9hlFFNpdW8UNGmHr5o6umVL5f7GS3DlTyN66wmNkw73/pUZjj9VQtW/8/MWxRS7L9+h/dq6BP9vikOvm3g9lDTKL7pGI7JwCOFochFW5BGEw1whPPkzWW1oFggVh1tqyM2ky2q2w5q2RU/tSeV1ceQwtzPD3HaD+eYMjU4NJVOJbJ3A0hjoCjupUKJntAyDZrnOoF7HK5ZRbY1yOabudijHW5Q8D3MYUw91qp5KcZBh9WJMH4xEhdAkjUpkWQWoEWg1xprFSNMZmAlZISSZDbm9lNCZNanUi9w3X6BRtmhUTeoVk1rNpOYYclTsA0AmnAG8TsyoFUvnkXE7lmN/WeY4dxA4FE5FxSmALg6KcUi066OIihsFiisOldMuldMFKqfEcDEK3596TvR3F5+bfpwSxHkeBSntcUJnlND1EnpeSl9CxlRa7ovtoyhjHKb4k78R6mHxNk9qUoWsh3QUkQwjccUQTVFxijpu2cJyjH0VtjKK0bd9tO1AZrUboSYphppiGzGl1KPuD7BEv7eiSXJhDveRBeaeWOTosstKw6Be1L6nY3ocJlJtL2zyN/shW4NQ2uPnI5KvzV64hspcQWXeFvDeZ1YbMqN2mVNazKbblMItiL8DvJcgoQimKBApyLkcRhGMtwdoe2p8Aes7vTG7HY+djlCOj+n0fNo9jyiMqbkmtqmiaSqGcNvQFDkX+6PM+sFcbMtvk88drUvJuEFRvYKu9MkUl0g/R2xcAG0ZL4jpD30Gg4DBcETg9fD9AVEwJImGJPEITfFxzAjbjO7KRSfB1EHTJ49jMhTVkiDeMA0cfShdJMRbqOhFdGtuH9bneQ5VL35X72kQJay1RxLar+4OZWuLgRfSHSS0ujG9QcKgnzEcZXjjTIL7JDrYd0RhtG6lcggRV7GoSgV+paJRK2sSlGd6Fy9bY5DcounfoOnfJJr8ICzq8zTME9Stk9SME5T1I2iKSZJm+Q/OTNgvip6FeZFGmKSE4vgTx1KUyXkQpQRRJlvVigruNFXkXIwwRt5GhCg0kAUHk1EU4N49PAwJ9XN4vwfx8yGgv2tpEthf7+5KUH+92+R6Z5fVXt7LVxg7CkX9nro+zzPU7bf/7p3GDxFwhr0JtBfAPgf3B/Otfcv8N4Y4J5CuPuJzZw/av9O5XpDnJx90tfa7qYYXOfM7+++RVjmJVjklYbzIYlk1CnffTxxIgB+3XyfuXCLuvE46zOGb+I7Ra+fuBvZO410qwuySjDbkfpiMNknFXOyrInvNvKDg7SC7VUYxSqhmefI9WUGV+fD6fJuYo1lv6Voj3CeSwVruTCFe68lI/dbBP2k3DhT2h9X2ztz0M20aH8gYJ4MJsL+Wq+yDq3SiptzmakVpg39EWuKfkVm0CHi3j4W00yO5dEWC+uTqDdF0GaVc2re/184IVf2PvgXTNKYxjWm8V0MUu+fw8kA1HKd9qc4/gPgD4qRDGG0Rxtv79Y/i+pxlLGIaAtbnwzSWsPQFTEMUSk3P/b+XkG1B41388BZBtIGqWmiqK90NVOl2kM/FUJTv7fr0ezVEsUgOzMU+d3dByYGrxFsVnAzf5C4pQrw0efuH3EHiwDXiYK6KvO8qIRwkyjKLthQZQtWWyJzJnB5ajt9iXT4E1xBFM3vr8uWEZnOb/+Tv/C2++dV4Cuen8fYxhfMfrMjCiPX/07/k/966zXOf7fHRRp+zCypfnfsUl7IyfpZRsXxKAaxf9gmElfmxY6gY9HevkHlXsBcWWTq1wuzyMWjM0VxNCG74PNW/xu6Fa6yO72P2+jz3CQv8Y1d5/YhGPZpHSV16rk3XdrnPcznvG/TdlKvLEWoc4+z6fLv2R9woP8PR5ofZiJ6n5W+xcP1J/vJDH+KXPn0/x5cqXPrjm7z4B9dYvdQiClOUU4uoD5xCK7ucVnzu0UYoWUqsa6SOytWkx5qmEjplCqbFnGlSMhQyLWGkxHh6RGQlGITsNK+x2bqOEkdopk68VKN7vIGv6YSRjtc1SDo6xSac2nI4uVtgaeiQnW6Tnd0lPbpDWh6gJwnVbZXl6x61TQ/DtEnmXOKSxdByuanXeNmucl0zGWkRSRphBClOmDLLmEWzx3I84tROxLE7CvbAkrAlU1T8ocNG5PLiMZVLD4/pHg0wjYzTOwVOdcqEJZdYExYrAmxl6EqKO4zwX79D9/J1YnWMcdTBPldCW3BQigapquKlNjuhxTXfoBsYLMYqj4wVHh7BbCiqzlJGmspty+SO66CEEbOv38D/0jaBP0uSniSNTGy/Q2V0m4q7TunjZyn/3JOYZ5YJb/j4L3TwXtnFbDQxlgZsmQH/3n2F55QXUXWNh+ef4HT5FHN6lXlnnpo1i3vHI7ndIvPHKMkqtF+D9hi6oISGVHwpbhnl2HE8q8ZuR2EY6SiWSdTsMbi2xXCtxXi7RzzKQbYuFJkn5jDPnuZm9yhbOy4LJ03+0t+d5fSH6m97MpOME1p/ts2139nlxnWdgeJQP2vxyH9a5eSHHWmv/n0fowKetWIJ6bt3ArprIT0B79dC2UNdhgCrcwZl0ct+xqdY2aVUWKdo38CIrsGkP5UE9hNQLxT2ObB/e5u/NIlJgoA48PG7Hle/MODqn/qM2wmzZ1JOfRxmTgkhUQ7uNdNCs210y0KbLA/XOjSfX2X7WzfYfXmNeBCiaYZ8f7NE9ECMD3IckSWxVHXJPonigmu21zJAkSf3mTiBlyO3BEpUhVapz061zU6lTbO8y265TUqKnhos9BZY7q9wNDjGCeMM5docXVehqadsZiG3Rh5b44C+HzNKM4a6SWAVSE2XTNPBSDFKA4r1EXNzEQ8fmZMg6WilzvFKnaPl+pvUn9Khoj3Cbw3ZWBvwlZdGfO1qJK2yZwcBR7pDZvohbih8Imy0DNQsQEt7aJqPMG0wTBXL0rELBk69iDMriolKmFULrayjlwz0oo5W0tEny5roz17S5XZVFz3LMoJBsg/qh82Izq2A1nWfzqqwic8kLCzUNWxXwRAnluOQsOmThfnFbnfRkrDePeWiHXXIlix8XaUfpPT9hJ6fSNC+PYjpjPfAeooXZngTqC5bXqZZ3gIzFZ8dd+9nebc1MDUFW1exDQVXDFP0t1comioloepXYByl+YgzmUdhSujFhENxPESyAEOAWtECpVa3qNVtCqZKwVBltsOU7NaYcNXDvznGXxdOFClqluI6MUWvh9MbID4ZWvNVdo82GJ6eZfZkhaOzBisNk6MzxvcF7Q/3t9+D9XvgfnsC7ncGoXz99sLSFGZdlVk7Zs4MmNOHzCpdZpQ29XSHJBwx9kPZC91L9cnQZPZFxsVXnDxj42PiZRZeZu7f3k/FjwstB/ni+BI7x6Hnt1gyOdlwOFl3ONGwZV4offc/9sRzjv07BL2XpPV9Gg9QjRqq5kileyqKD7IDt4H9EHZfqkuUWUSxRRCbeKHB2NcZ+jr9kXBVUegMFNo92O2mdPsRgSDNsqo/Zabsc/pIxtGFiIV6SL04omgNMc28sEDVCujWLJo1n8N7ex7dnJMw//t5j70woT0IWdvxubMTsN4M2G5HNNsRu52YTi/OjxFxXGQZupkPzUxQjRTLzXAKGYqzja/cZswa4+wW42ydjBgVlYK2REk7Tkk9StU4SVFfRFN0CdTFQ1cnkF2aZqiKXBYjSkShTMwwiKRTgFDjj0Jx8SU/RsXxuteuNkkU6aaiKposhJEHY3oI7Aux7SGQL8Zi1eLeoyXOLxc5vejKUS8ahEnMrV6bawLYy7HLtW6TcZR/T1Ut5w3AfpaVUlU6OkzjRxdpOJQgNBPuFGKIornYm8wn6/a3jeHQ/GCb/x3/DQGRFauCKpxBrCqqWb17WWQJVwV0reaA/1242JQloSwMlEpsWTA4GeI1ESpt4XaRRiiaA+IcVLPzc1HZiiifC3v0w8siy9u+Q4v0N6vhr5MMbt2lhtfKJ6VNvYTx5ZPfl+o9DfrE3csTYC/yaxKWy3/LmZU2+NIOX0D72rnvST0u9qMcum/meTzJk7GvWhf7iFVBKyyiuouTPJ/vG8YEuJvlCWR/dy5Eiv07Ga7tg/t8LsD9mtwn5GPWLNTiyl32+HIUlvP7SMP8PFgUpIrzdZGFk4XY78R97C1Pth/Mo0O32buPg79BNdGKy/LfEfuAmIvj54N0gXYa770YJF3W/FxZn6vsr9KP80IhYYkvVPaW4mCJfNfcvnu93GZjqy6m2DZZtlRX3las19Df0f6cxTHpzdskr+ewPt1pihMjtONHJ6r6MygL7z1VvbycLk7Molj4yMvnHA0tmwABAABJREFUIXMYCWsxObLJNnEbuX2yTc7F5/XCHOryIkrt7Z23pjGNaXywYw/N/bA/AwSQDKNtgmhTguMw3sqzXN6agMj8cZj63ATcL90F8U19QQLnaYjf4j0J4b1gVea9safmltdIJ6/pW4XYru0De1eC5r25XK8V3gD13UnbgsntFfE+CAP3PbQrrlFlh/apw8h3crt9DJy94W8nt59sF9A6Tb0cou8VgEyKPfYA+xuV7elbXS+S7o/2pC2DeH5l+bwOgHppAtr3WjfkcF1sF8/7vfS9OO05P413vKP85m/+JsvL+Q/LKZx//4b39Cu88hv/hv/jICR6esTD7oDHFhO+dPZvEekl2oNt1sVv/CDE2u7j9RWU2jxpfZFR3ycbv0bRaqGfWEKfO0pjdpE0qDO+EXGkt8X8ylf5xsk6s199hIVtm7NKk/Hiy7TuHfATnRWO94v0ylUuLR7F8QoUUBgcybhRC9lcG/OS+mfcrn0Jt/M4Pf8KkdrB2v15tF6VqqPxyJkZPvXgUc7POzg7A2691OT6t7e40VXxjy6jFGzmUo9F3cOs5BaulWTE6vorXM901hpLpMUqRzSDR1OVY2lGpGYMNBgbCl0lZJgFeKlPP9kmMXpY8xneUkynUKIdlgk8G39oEAi2MMyY31Q5ue1wrFPALURk53fRj3VgvoWixui+RqlVoNbXmBkPsZyExNUZ6i7rao3blsVN06Qr+k2LC9YeeAKwGym6krCiJpw0Spw2lzipO1TExb0M2Xv71VaLb1bXuXa8Q2ImzGyYnLhcZN6oMVhOyUwFJ9EwMwVdqO1GAb5Qmr+wSthqY9fAOudgPtTAOFIEWydSNHqpyUZk0Ettimqde90lHi3MMWPYBEnCzf6Am70eSRiyFEQUv/os/ec26bVOMuguo4xjav5task6hVKIe1TDvVjBPFonTR1iAZrNkeTIu2sO35i9xXPzL3LbvE2mxthBxvGgytlhhYvdOqe082ilBdCEQnOIWupAcUBmd8ncBFWoZkorUDzOyDtOv+NiuA4zZxs4VSdXqq822fzjb9P88mt0X98g9CMSy6JLgzvpeYZxiZlyn3vvHbFwrkTpSJ3iSoOizHVZsCFC3Ff/2S7Xfnuby8+kdCOLyjGL0z8hetMXWLjPQjd/8F/4fj+H9r31kP5GOJkHDLai/XMks6hSno0o1fqUyjsUC2sUzWsUSl1ULZsA+xOHgP2xu4D9aDfi9c92uPK5LnGQcOIph4s/Y1KZj4j9EbHnkQYecRhKy/5oHBMMI6JhRDiMiQYRYScgG6bQ09E8A80XqvKETCg0BYBMUgkERSuBg2GiGBaqJbKNYlrEWsyWtc66eZs1Q4xVtvR1EiWRKswFljjCCY6bpzg/cy+LcydoEnN7MOTmZofrqy02dwb5E1NV9KJFX4H1UGGIiSjJEfA40yJK9TGL8zFPnavz+JFl7p1dkpbM303fZAG3nnttyOe/0eHpV/qMogSllkE9o1RVeHilzJPHKjy64KLv+Oy+2Kf92pjO5TG714akY9GdSCWNElLpMBCiZOLidIBmJBhGhm4o0ppa9MEWSnHLdjEsB3WikFYd8fyMQ/Bel/DenLEwF2yyusHuELZuBexc9Wlf9xneCeVjF/9iVFUYFBTaDjRdaFsZiSLqORVSTSHVFRShTp+AP30P+smSCXAFEDdVipZK2Z5YaIvhatQcjXpBo1HUqRdUKgUB4fOeZ99T8UqU0Q8SusOIGy+1uPFCk9uXu7KAIC6ZaEtF0oZDYOmMYqEwPvxmpVi7MaWtkMK1McYgpuQqHJtJKHt92OgSiiKAisvmYo3rc3V262UyXcU1FZYqGss1nZWGzpGGyZEZg9mqgWZocqjG9/68hqEoesiBvcgS2u/PQ/mc3/yHeVWuuIgnfqQ5aoKjJdjCnUUJcfaGRPSeHE46kttcTTi4iL/Js6uluJZJaDS4ZZzhVrbCTb/CzW60/28Lxf+JujOB9janGg7H6w6W7DHynZ5fSjS+KXvUizdEqNwVrSAh+cHcRdULoBjf02so4Lyw7RfH/MZWPx/bfTa3+uy0hIdOQqXgsVDzObmcsjQTMlvxKDtDLFEcY2roZmFfXb8P7qXSvkwYhnzzm9+U/9YTTzyBZVnf0/ssFPc77YitVsh2K2KnHbLVitjaDaVdvQgJu2dMludNjsxbLMxoqIUd+uoVVgeXuN65zFr/prw/U7M4Xj3NmdoFTtfPc6p6jsXvEs6Jvw/jVAJ7CeuDyQgFvBfrIrzQx/M9/Cjg/8/efwdZluX3feDn+vu8S59ZmVm+TbWZnh5v4QaEGUC0WGJDgrhUiKGNXWoVQSn0H0OCNnaXIQSp0K4UDCkIEqAAUSQAgvAzADE9GGBcT0+7alNdLit95svn37v+3o3fuS+zstqMw5jumfpVnDrnnvtevnffPdedz+/3/QWRjx8E+KGvFBgmQYQXJESxxs6wzMGwRJqIo4A43Yhqks3l5RKPr1d5dK3KxcUirUru3LQ3HpwAe6lv9trsj/PztZznRAZfSp7Dvk7RsimaNgXLOqnN+xLr33OT3M5RkhAmCfFJOyZOU8JEnGbGxOGEMJqodhJ7hKFHGHkQe7jpBFtKPMRRZYAVD1Tb1eQe+M2io2t3wf0J2M8B/vFylNk88/Tn0ROPRx86h0kO3HMJ9By2pyfQ/S6EFyB/DFnfYOq+pYIuCiWGpZwPBDST+DlQ/kamQAQivw7m3wX802XDVtHiAuRTv/NNRcN/uy2PIj88ia5PVIT9q/l2y/1AZVVF1avo+sYD6ntJv7xHbYMC7tOo9ymEl/REx6ZAdklSKSxilJfy1AqlJfTSokqx8E6RjlepJER9Ygrqc3AvUfebJ/vwWzbdQjMsBd81w54u22i69FlokgPWsHNJ/tH2PdH98vvppeU3QHtpa+5bOyN/Ny0Igr/0tfW+vb2sH3dUZP2RRFSmEuzh4aceYeoRZL6SzJcifbLueDn5GrBBTJ7JBNIfQ/t5+0wurS+R+u5Fte5rWdrp5hH1x1H1UYRWrSpIfxJV735r4y8TmO4HZJ5P5nngy5yZp5aZ9p1uC0zPBK4r8C6wPboXun+zU+qmiWaJk7mlPC2zca5+oxUK6MsLCtTry0uqrc3OoH2LDpD3j9e3tykUc+zUIQ4bqg7zcXY85k6tU31qXQi2jVYpo5WlFPO6Usr7v8fXCnV8jSdkw1FeBsO7bSlTp5QTU/Jp2hu/97T/LftU9brXmAb6TAt9aQFdUmSUv7P3Xd+qyT5Nd/dIt3fzsrVDvLPHoNtTKQ6rjQaGaao5MZlPRdQZdR1N2vf0GWhST9fn/cbd16m+ab/8TuKxrby8p/MRx/Js0ifLaUysDwnMLqHVI7K6hHaf0B4QOn0175vz2wwzKGBNSqrY4xJGWsDQZH6goMCr3POK+p1hldHtMoZTQXdccMXZ1wHXRXNtcBw0aTu26kOll/ve3++83gS2B+EmXngM4aW+TRT3TyC7a6/g2uvTskbBXscyJWD2WLJ9Mo0qlzIhndYnKQ1U32SqevD613z3pNu/tiPBqch1QyLWj9uv63tdlPv3iwrD1n04f9++2YHyq7/6qycD5T6cf+ea5JR+/r/9x9wpDPny2hxf+qUXWPMmfKLV588WP8n+5b9KQxNp+2c5HGQMDmOynR5GZuCsXaCT1Aj8AYXkBo+vR2SVBneqSxilVdKtIvXBiAeKn+OZH9/E277M3BceYq7t8HB0RDxzne57Jrxv0ORct0hcqLDbOo8VF6k2DNY/UaToxPxvn/+3/Lr+B1zw3s/zw+t0jH0Ww59gZ69OENroTgHXtak4JufKBpebJg+1LIr9iI09jTthiUmkYe4eYrYPiOaKaGcbGOsBn7/xrzna22Vh5SM0z7ybRrHGe4o2H3Mt5qKAg0mf7mBMMIB9LWLk2Ey0iHHSY5hso8/28NeGOK1LdCYr9CYWfgwTLyX2MuyexvqezZm2zdzQJj3fQT/bpbDUwyiO0eOU5LaNfrVAg5D6XEBx1iEuFOi6LvuOxoZRZZyVcIMUdzLCM3yOTIORZmNkFk3D4ZxbY73eZK3W5IzrMgk9/nD/q3zZuYFfTLEynfntEks3mhQmRfqroSiRUo10KomOpWXEY5944OFtHhLtdjD6A0x9jPNEFfvJBdJ5h0gXFWmJrNcZpDIpPsPPNt9H1SypydfbwyE3B0M1MbtQKLC+9SLDTz3F7qsL7N55iNhzqJldZowBlfgAp55SnItxKyMMJyWbK0PZJj0ICJ/38MMOt6qHXG91ea014Hqtx8SWPMIu52ce4krhMS6OlrhgnqOxvoZ1fgbSNulgg6R/m3RwW02ERUmZQfhuomyOckuneWEeq3HmRO456o3pf+FVup97mf6ztwm8iP3CeV7ureNFNkutDgv6dTQvz6ErN5/FhRqVlWYO68+0qJxpYeoFtn5vyMufDuiOLKJUw7A06i2YXdeZf9Bm6V0upfUi9rxIL3/7owGTKFWAXqD9MbBXAH87l8gXz0WdkFLdo1LvUSnvUS7eoVLvUm0NcVtNekezvPLns2y80MI0I84/eoML77pOsXJv5JtEU/Y2Yf+qweFVi/6OOIpYFGdaVBdalBfqlFeL2EsGZkNHL+voro4mkwZqclGKRMbmN/mS81vakZaw5W9zx7vDxniDjclttiZbKiJeJmNWyqucq13ibP0C5+qXONu4iOdpPHt1j5deO+D6rQ7bewP1UOrYJmtnGhRqBfoavNybcLMfMppoxLGhYILtJqwsJTx5scKPPbTEk0srCgB9Mzfukj/+9/+iw+987ojdTkhkp7jzGivrFh88V+f9q1XetVx5S3DpeR6f+tSnyCKNjzzxcbKRhXcQMLg9YrQ5YbztMzkMCTqJ2o9pEJNI2gbZD3pEYsakRUjKBnHZJCqbBGUTv2gxLlj4hsEwBrm9nxgaseDJKWiXWk+gNMwodFOKnYxSN6E4SNVzaaZrRA0d6gZGUXJWg+VFuF5COc1oVAwWVgvMLrvMLDuUlwuUllwKc/ZfaowrSVuJ5JXzZJQQyzaHeS3OIonUYV6nSXbP+4ZbIw6e77D31TbBIKTQdFn+0BKzH1qieKnJGJ1RLGA/5WiScOMo4NbzQ5IXh5ivjnGjlOqCw8o5i3PWmPJLu8S9gNgxCc82OVppsjVTY9PX2BsKeMo/W4L8F8oaCyWNxbLGUkVnecZmYaFApVXErTnfdG77Nx0vUaKAfXscKueIomVQsHUKpkHB0lX5RoGsir4TGBUMQaWRGE8B1Zh0tEvSfjmXSNZ09Oo6/cpD3DYucDueU7D+5pHHVj9QY1E+cbnmqMh6Be2nUfYzpW8Nsn8nLIoS9g6H7B0M1XliV0H7Idv7fXr9MbWiT7MyZqkVsroQM9/waZTGuI6GbZs4TgndbnF7Q2T7dC5cfEAp4ojigKacCWTCQh78c5WPvM6X7133Zn356+UsPRjHbO0FbO37bB9EbO6H7IgCxlCURTI1BzLX0Fie1ZlrJejFPQL7Nj39ZTbGr3EwOVTn+7JV5GzlDGerZ7hQPcO5yjJ1u0yWTaMvJdpy2s5LqFQMVFvV02jM7HWTXW9iMgZECSCIE/wI2kGTFw5neXqryvO7JboTW+aolV6GKGVIrvuz8y4PLpd58nyN915osFDPpaWHgX8ii38M7jcGHXWv8WZm6vobgH1BatO6p6940ne3Lp6qa05Bwf+3y3j9Tlnu3BQyDAOGoc9I1Xl7HOXtvM9X7UkUvCV4j9K8/25kxLf9yyrHIz1LcPUMR0txSXG0CCeLsLMQNwtwMh8n8RXgd0lwJIWJlmFlCYPRiCTTKJQrSnlKXQN1l9RwSQyHTHeJDYdUd0gkXYRuk6piEWsWiSomqWaqWpzVElHmUs5QGZZhYKpJJV2NRTmKDVIsLVdnEXUaQ0qWYGbxtB1jZRF6FmNmEYaUNMzbp+qFSov1+Ys49RzGv51ywKs8psNNBexzWP8yseSvl2h+SVUggO2uvqmKuD8G7vfA99IimtN422zXd8pSua4KsB9vq/PgCWiX+2HjFHA/hu0KvOd9+XXim/t9xGlEOUOMttVnJgLsp+10cnDyOnEQOQH35eVT7RU0t/Vd2y/H98Jin/jEJyhIDpj79gNpsURfvgm0D06W74L9STpiN7ytJPbDNMjvj6yVE0l9gfXL9jnst4jEFEiZ3twgefW6iqxPD9t5VP25NYzLF9HPLOdQ05tCdv8YrE/h+uvbwVs7aCloVHAVKFeS+tK2bQWMmDqp3wPXj9v2tG2eaiu5NSnTfilvAp7SwfAE0B3DukwgnZhl5aBRgP3K0l3oKLDt69j94/W7a8pBTvbfq9dJdyTl0BSoT1UTBKqf9E0VFr5hE+Aq42o65tTfEqeO149jGaPl0rTkwD4H+NM+BfSLaJUKiLrmN+j4oZ5HxYlFAfYx2fAUcB+cAu/SPxq/4Xup40l9dgkEwh6vV9WpSN4p+D218m7fqb+pvs/pzzj+O1Gcnx+mDgCy7XK8HBdN6vnZ/Nj8LlnmB6Q7cnzfBfFKGUS+v8yviXLG0iLxTJOvvvCCUpV9/NHHsE1DwfQcoJ+C6nI/fyyj9jVA+933HvflnyewXjsN7adQ/x6gf2p9/lpJA6sRGxNCq0tk9QgF4OsdQuNI1Uk2vvs5J7B/+l2mCiN6pKNFOnpsoMcmemKe1NrxcmKrKGtdF6XTolLxMxTkLypVLlU7ZQy7hC7A3y2juwU1rgTy57DfyZe/BccmURbww61TAD6PhA+ifbVeTt+2uYjrrFOw1xSElyLqAt9JAK0cS18H96XOMlG3004V+f/YaeX4WiM9p5an16C8jze+/+S9EugjEfo5bNc19/v+OeDr2X04f9++6YHyuc99jtXVVdUWL8m5ubnv8be7b9+qvfqlzzH85T+g9dH30plb5P/3T34DDg74ceeQ593H+NLizzF39gxr6yP2tr/I0Y0h+zcTwoMxtmujLZ+nG5ZJ4i4r1UP+zw9CpxvxVPM8g/F5rCONK8ENqgsv8fz7BvQPLtD8yiVmOzaPRh2y2UM2H0l4LMx4pOsycWtM3PM4qcXMUsraT1f41O5T/C+b/zvv772L59It7sR7/Izx17jYmeUPkg2e648ZR5Jzt5VHz8jEbxJT9EcUgwmL1QalxoqaOM82dpk8fZ1g7JO1CmTrBruFq3S1F1l68MMsXvg4mttgpWzzscUqH5gvkxJx/XCb/d1DJnshYT9mklkEOkzSMUfhLXD2cNYiZtffw2CyzmvRmFESq5zJE1+iKDKabYP1/QKLHQu76JFcblO8tIdb9tG6dZLX1tC2K1SKPcrlLrVGgAQy+07CvmNwU2vRTZqUM5M5rY+pHeKnEw6TIntxlSy1MA2bZcvijFugFEa41Zi91Yhr2j79zMNMNRa9KovdFvbQ5cgNwM+Y2bWpjjX0bEKQ9PNJVrnZkov1YIx+0MWWSdBHq8QP2LSrGpJO19YNzhfP8EDhUYpmnSTL2BqNuN4fMIlj5iyNSzvPkH3lM2y+Mssrz14k9M5QrrrMzSfUJ1s42hj3QoPylRruQkA23FHe4llQIeo28Lcdoj2J3k3YP9fl2sp1Xi6/xE39FpPEw4h0lpJZLpnneWj5Ca5c+TALM2vq4p6GA5WPPe5vMNob0u80lBxPpXCb0mILZ+ERjOalfCJMJgP6E3qff4Xun79C79kNbvbmuR5fwqiXee9/0OCh92j4ux1GWx2Gmx0lkz/e6eU3hwIIig6lhTqWWyQMKoz7FYb9EsN+gSiQrNkaZSehVoiYWdKYu2BSXivgLElxcZcLmI1vP8hSMsvdRMF6AfUK3k8B/uhwKqEZ+9j2RNK7U2xmPPBxnwsfzrDLeTSXTByOtiK2/v0++1/c4+iVPRUdr2cW5fostcUF5t5zjvqjsxQvlCleLGHV7ZPvkCaJUleQG/ksTVTtRRM2+je42b/OrcF1bg9vsjXeVNDcQGfZXWK1sJoX5wzLzgK2HMeiHuDHDEeSq1qiOfOHJMc1sRwH23WYaDq3hgFPbw146SBle6DR90QeP6NRh8cvlPjRK3P85MOrzJer3/RvKlHVv/fFI/7NZ454+cYEL00ozetceajIjzwiQL7GhZnCPftSPVhPYXMiudOljhICL2Bz94ixiEhUakqWfCw52mOUVPxxLUB5PE6JeilxL0HrJljDvNijTBVrkmGFU1WCVEpGrEeM3ZBRKWRQiRkXNVLLxbYdCkaBYmZS8hOqSUYlzahqGfWKiWuZSjoyCHUG/ZTxIEUXOfCCTm3RolCSSP9EaDFpP2RykEvmq4ckTaMwaylIX5i3VdudtXFnLJyGPKDJ/H2aF4HwybQdy8Ne3vemeaFsE8MxMB0T0zYwpHYM1a9qx0CfPizJ73149Yjbn9li46ktJm2PQstl7aMrrH98hbkrEjGS7x+RFt/qR7y6F/DC54+4/bkuk6sjiFK01QIzD0se+pSZ20c0Xz2gIKlfHpml8f5lla9+z7C5cxCw2Y7YPIrY7kQqh/fxdpUtaLgaszWTuZbNwqzLwpzLbNWiVTFolAXsvP0eSJSTxHhfQfqk/VIO68Ohgsp64zzGzIPE9QfYZJlbvZibHY8bRx63jjw1ZsUqjnEX2DddVa81XKUA8XYyz48UtJco+50puN/ZG7K730PP+jTLEwXul2dCHMvHNDKKrqXmVA0jxdRTDCPD0PO2Lst6iqYJTM8VJuRZVNXTh9M8SOPeWtZblqHK68fE2DfZ6xbY6RbZ7RTZ7RbZ6RTpjO5OOjfLATP1IVbpgNjdYWLfoW3cZKLJZKxGwy5xsbLEheoKl6pnWK0sYUq0rnYKCk3bAoakfQyMVO66Y3ikXjNdnrbFYn+PyLtDPLmj6jTqqVNCkJXoxnO80pnhy5tVntux1PEymmRKQl9dH12DpZbNhYWiksZ/7/k67zpbpyDphdKEQ3FSjCO8KMKLQybTWpYnUqt1eS3w+Xh5Et99nfQFkkblLczSDRpukYZboK7qu+XuckHVVcf9hlRVvt0m18jjbT7+DQSmH0P20RSqq77oNIDP65Fci98CpotzQsV2qNguZduhbDmqtg0TS8FnQykayO8kIFr6zZP+vG1NXyN9d9t5v4BsVZ9qy/nXV/soUrWfSB3fXZZ9ppZD1X93/XT51Hr1HlF2CD28yCOKI8IwUs5/pWIZ23RUih1J0yDfT76XgupaXhuadtIv+/ZkvVo3he/TthQ5ZgXS3y13HRgUwJ86NChHhmmfODTc8/ppW9a9mck5QVI8rNVaKq3OuqpbrFTrbzvVCJFeV5L73VeVw9ExfFcy9ALs79vbwrI4IJns5rD+GNiPtnKA7x2cgIlcmn/pbrR9aSlPKzGN0r8btT91MDjlWHA3ml+uEV//PBlFERsbG6q9traG9V0EHPftnW9yXdyPNrnji6T+NSWtvx3cVFH4ci5ftNdYdS4pWC/gfsFew3wT2JEede/mqr9+617IKTBJQGCxkEdmFnPQriC7LAtwFyip1hXuBfECc74B6P3dMHEyUEBPwbxpLdDxNNBTEfbTsrSQOxF8m4/XPLo7UoCRqaLAiapAGKKVimi1Klq1ksPXt8nv990yAdHKaUTKtes5mLZtjJWlPEL42EHDnjp2CDy3X99n3nUAkcj3Y0eQ004hbwIZ1dyWOKMIFB+Pc0gutcDz0Uh9F1VkvXyv1zsDyDON7L/j6PtKRS3L9z553ykAL2kO7zH5XrLPj8vxGLinVPK//d2E4QKF2x3S3f287O3nzhKd7l1HxNmZHNbLcbQ4dXhp/uXTSojDxOloeFW3pwo5ppk714iTzfFxuyBp2szvi+urmkPLPNLUV1LoSSa1RH77JKo/LxIBnsRjpYglabkSqWPJOz4mjfPocvXazFeR/PdA/mPQf+yYcHwflOpoiZFD/lRqI1/GVvL7qmguujxLC/iX6H5RA5TaKhKbE3x9j0DfJ9APybT8Xt+ihssSjraEqy2rIm3dcPLj59iRIc9Pl6cdnKpXKqWDaX2scvCmzhFTp4gfdOj9TrHvCzj/K7/yK6q+fPmyktW5b++cgXLfvreWpAm/8X/8jyx/sc25bJZwdY1f/vyr9Pp7fNi6zu1sid9Mf4bSwjlmL9b5yPvh1f2XuP6Z2/SfmzAeJOj1MsHcOSSNt5l6PHk25O8vjNnfavOvah9gc7iEPYlZnHSYr2yx+e5DjsJZKs+dpdk3eCLuEM0M+LNzGsVCwsNjg5mkSitbp4ROeabPa49f5f8If5f3HDzMdrDPC/omPxn9HT7evsh6mHBrscsXKnv8RbLLYehiJHPY2RxkBSUTXctCaqlMLJYVPJpsbDF49jXCOwOySaKAXVAMmJT7lN41z8LHniRqzmBbBguOwZmCxWrR4kzZZGKOuON3mLRHaEcJmqeyJiv5+66/SZzssVi3WDv3BN3iCi/EA/ayCZ6W4AUpgZ+iDWFlV/Ji29Rn+xSubOLM9RmnNr2dJbLNRSpjg1U9Yq7k0awOsc1YOQRsay4vphWuU8Q0Ulp0OWvvUWJMzy9wFNToaSXGloOTZVwOxjweelSrEc+twivNlIHI5KOxFBdYjBoYlBnLVsQWK4M6rT2bo1ev0969TZQGOPN1nPmaAmB6kKC1Y4KizjPvHrNcjVhxNJpWizPOQ8xaq2rKd3cy4Xq/z0By0idjLt/5C6w7z7F7PeMrf3YB33+cQmWO+qzGQnVAYf82hpVSevc85UcyDGesHjCMhTNo5SWC1yL8F7r4L/ZIRiGxFbF/7pCbq5vszh2xMb7FVuemuo9qlGZ46My7eXDxcR6YeYSztQsYukHsh7Rf2WC8P1A3bJZ2iGt3Kc41KCw/gNl64GTyUIH6L15j709f4emnEm72Fik2LD70MyXe+59cxGlV1OtEfny822O0KcD+iNGdI7zDIX5nhNceEg199Z2ipIQX1PHCBmE2S5I5aJlOQZds0GNqdkC1kFGsOpTXGxTXyrhLRZzlAu6SqwC+Ufz2P5TGkkN8Nwf1IpFfWbBZ/2BF3ZAOXuqy86lr7H3hBkcv3cHrCJTTKDVatC6fYf7955j70BqlSxXsuTzi8c1Mbge6foe98Ta3e9eVFPON3jW2hxtqnaGbrNXOqUh4VRqXWKuew5KoolNS1S9c3eUrz2/x/NVtxmOfStHi0QfnuHJpntZMgWd29rm+nUevtwc6R2OTzsTAMXQutHTec8bkA2dsztQlel+kxyW628SQyAHVtqbtaTGl3I1CkKjQP32xy7/600OefmHE2Esp1jUef6jIT767zvuXitRNPYfvUaoivaWdnloWE/C+6WXc8WHDS9kKYCza8a8zRwfZ5apIhLSBihzMEo0oylR0qhdkjIKMngejqbiBGWeU/ZQlP2Bm7FMdRbhHoPfEo1i8i300rYNu9tDMHkYhxG2VcRoV7GoJu1rGrpSwSkVM8RYWlbE4I5bP6mSMezDuaYy6Gf5YnhU0larcbeg4JYkwzhScVM4BQUI6igk7cQ7upxDSaZoUZqfgfs5SOe5Liy7FBQerKPtH8oFrKvpeZOIFxn+rUvHHY/DwpVOg/tBTEfVrH1/hgZ89T231jQ4avX7EX3z6kBf+5JC9F4ZKRj9cc4kuFikvGsx3RrSut1nsT1ht2My+f5nm+5aoPjKLZmgc9GP2+zGH/ZiDo5C9Q599GZu9iI6XEUi+btlOS8e0dJpVi5mqSatsqHqmInLgJk2pqyb14je//bLdkfhPhKkqk0DGjdSyLLnR87YfZff0SXFMjQdXXK6suqzP5k5DCtYPd0iOclCftF9RUfYyIa83LyhYL0WrneVwkilYL9H1qnQ8dgZ5fnFDg4WKw1LNZqXmqoj7paqt6rmSPOy+vR4ixRFISeMLsN8fMpmERHFCHKeqJALXIgFxKZEsJ3l/LK9RDknqICJNYuU1n2YxWpaotsjsC8Q/LrouExAaWaopZaB6tUytXqRRL9GolWk2yrQaZZrNCsWCQHkdP9TYaSdsH8RsHyRsHkQq4l7k8o8DPorFhEJ1QOrs0+cW3fQ6ujOgVI55cPEMVxYf4oHWFS41H6L4bZTITqIBsSegfnMK7LfySHzNwHQXCfQlXuu2+NJmmec3U27se+x1QsZygChpf5RCx5lZh/XZAq2yzWzVZq7msFB3ma3Y1Io2tYJN2f3GoktlfwnQVUD/FOTuBx49f0L3VOn53kn79VBfHArqU1B/XL8VyC9Zzj2OBPJ5xw4EeR3es6zWC3w+dkQ46Q+/pnOBcnKw7btw/Ri0Ww4V543QXZaPYXzJtr8nzgbfaWCjYjreARNTcn5V8F6AvqQDSGO2h302+kfc7ne4LXXviF6Qy0+Kc4BA+/V6i7VqrqB1tj7DcqX2toP29+2dY5LDXqUeUOB+697I+8neNy+zLSaOLCcAfwrs3wDyLTWZrbszaIUZdLel1BbyegbNKr8jjuP79vaxOIvYCW6fwHopu6E8e4KlWSw756dS+BcUuJeI+3ucqgUcS5T5FLx/sxBQOdKlIxXdP0lGeOmQcTJUy14i/UOlEpBn5c2VWFQt/ytnLZWVdxrcm/e/6fpT71P/BGSRYms2l4vv4krp/cxYi1/zuwoMF8h4Av+k7B3kwRrHwFFF2B8D+0XlfKAk/I/VBCT6+USyP19+Q/v4Ncf1WygivcEEVkl09jGsP1Xrqq6o1ATKOeIdep6QwIV0Y5PkFQHyr6l9ICa/tXH5fK7kcHb1bemkIIoR2WiSg/tTAJ9jEH8M+I+dLo7h+gl8PwXcK+XcmeUdtB9l++V4OYb22XEtihoyfMUxQiLrF+bRl6bR9gvzuRPPm5hSvFCOM1MIv7VD1ptKnDvOvYoXy4toczNvy3HxdjZ5Bs9hvU+aBaRZqNqZtNOARPoDgfySfnUK/CMvh/2Rl6cQEtCfiKOAvGdaZ6IoGJJKGq0sRo9MnFEVZ1jDHlby9qiGEd/r8PQdNQXyj9MU3E1boGD+icLBsdrB3XQGcjyqMba6ko8zcf65b98x+76A8xIlJSfvX//1X+dv/a2/xdvJnnnmGf7wD/+QP/uzP+PFF1/k4OBAeSotLS3xwQ9+kL/7d/8uH/nIR77m3/jn//yf83f+zt/5hj7vl3/5l/mP/+P/mG+33Yfz378WZwn/bOO3OPrCM/zsy/M0j2x+5eUdjuKAH13eZ+xq/H+7P0p/tExppcnsQyU+8Z4yO8kWn/3Xz+J/aUgUaAQL8/Rr88R+QNWATzzk8HeTmzT2d7izeoXfr1/mKy9HlLsGNWPE8OIRPdei+NoC9bHGe4IeZnnIpy8Y3GlplDONJ8ctLvmzDEn4VPMpXl39A4rDC2ijIUntJn8l/r9wcfxe7Cxltp9yduKzrx/wpcY+Xyjs0jENiu4izfIacVTD1GxqhktVc3A0jbVqiDU84Om/uMOtF/YI7/RhIBfZhHjWRntimexck6hZIJa8NXK+iROskY898tGGE6LhAPSUC7M1VhcLNFtVEj1hHHQYjTYp9mLMoEq4sM7RvEtnSSNw80u2H0jUbAY9jRk74KHFAxZFLj/WeaVT4/aowpxZ5iF0Lvkhc1lE3fGVFH2UWOxFdW5kVa67LomZUsx85rI2xXifa8M+e9YsVBaIzRJlTeNdScQT4Yiq3uXZeZ9XWhkDBwRHz41hbuigUSA1LBphxrkhLB5EbDy/zbUXtvBTDWd9lvIjaxSXZ0mPfL6QRPQvpnxwxqPpJNhmkTn3POv2w5iaxaHnc33Q58gPmBvtcvH2U7iH12lvdfnKlx+ic/Q+HPMMpUaRhbWEZryHvrOF4WaUrlgU1jKMkoGxuIh16TJarUW8MVag3nu+w/iVNnEcwoxO+ojD4VKb17yrvOq9yi19i8TVcZ2iysMroP7B1iMsF1YJeyHeQYfgqE/qe5hMcO0+5ZkqlTMXsecePJG+jwcTNv7wGk/9yzY3rxvU7DHvedLjoZ9dp/GhB7CaOah/M0vCWIF6/2iE3x6p9uRwSG8z4Oi2RnffYtAtEPlmPlmQ9XHSNk7cpcAQGw3LLmDaDm6jjDtXziXgzbyotlqWiGEt71dgU/o0NMl/fbxsHfdPXy/vP/4707p7dZf9L9+ic22TyUC8gDOKMzVaD6+y8KELLH/iEuVLtZOIY7WNaULHb3M42edgvMfhRMr+qXqfROCUkh+2WK+fzyXp6xc537jMavUs5ptEVB11JwrGP/3sFi+8vKcA/cJshScfX+E9j69gNRz+5Zdf5o+ubnNz1ycJHExsCobLTNnhfZfq/ORjS3z4cpN6QaB5RBpHpFFIGkX58rTv7jqBZ3n0t8x7pGnGzhA++1rKF1+D/a5Oycl44mzGxy6knG8ZCjTmsmn59xa2kXuzyvlVYyfUueMZ3J6Y3PF02mEOP4omrJdS1ksJS4WMWsmmVi5QK7tkpstR4LDbT9npxuz1Yna7kQK+ouglX9E2NeZrJosNk8W6yULdUI5BizWTWjGHEepOTG1P7ojRv+7TeSmg8+KE7isesScRhRFWWQBrlyTcJ+i3c0/iaXSvO1PBbVZwyiWsouS4L2JYrkrlEA4zBvsJ/hC8IQSRRhDr+IEAexmPGkZBpzxv4FZEFl/kfENJVkg68Yi6E/y2R+LL7y7SaAlGAayyhlnU8hQc63UWP3yGxqUFqmdnlZPQX04uP+bwapuNp7a59adbeL2IMx9c4srPXWLukZk3nQyY9CJeearNs3/cZuPqkEDXCC8UaK8V8Oo6jAJm9ofMH404k8Q8fKnG2fctUnt0Dme2eM/xIt/BHwR0Difs7EzYb4d0vJR+pDHEZJhqqt0ZSzTl3e8gUdQSZd86hvaSxiAVmJ4pxy+pJ2GKL8D9FGT/WvNe8q2UJL6t5bWT166tq7zn13ZD4iSj5Oo8vOIoUP/wGZfVmbuwPh3cIVWg/mWSo1eUCoeKtmtexJh9CKP1IHp9XUXOiST/rY7PrY7HVi9Qkvjb/YC9YcCxWIIledanoF6V6rSuObSKbx+J/G+XyW8oIF+gfpqmSgmk3Rlz2B5xeDTm4GjEQTtfPmiPlAPAsZVLNnOtMrMzZeZUKeV1q8xMq4RlmSrtxtZeyJYoO+wHHBxFHPVj+iOBvhMm0ViVgC6a08MqjJmpO5yda3FpYZlHVs5yYX6B2YZFQXI3/KW3N1HR9fFkQwH7aCLR9XkuZt2sYBZWsYpnOAwW+PIdl2duj3lle8ztfZ/eWCZSMgUuJdpaTEbDcXCAqDQWHJ2Ka1ApGtSKJo2SzYxSqLCZqzosNlwaRZtqwZoWW6Uc+XrjSh23cTQF9XeBvcD8zrQWkN/xxVHSUxHr36gJPD6W3S9Kbdm4Irdv5u28P5fiV/Xr5PilT+C/QPYfBFn+H3Tr+54C9RvHwL7fUQD/GNpLZP9xpP3ZWusk4l5S9ogKwH27b9+qifKVSoeSSFqUaSoUqUWBS6VKydv5ulPLp9dLfc+yrJ+mUZHJbq9N6rfJghxEHJvcV2iFloL3Auvvre+CfAX779t9ewsTSfzt4IYC9neC69zxr9GOcgjq6oWpFH4O66XdNOcIs4BJMlSgfZwOp2BdgHsO2gWyC3yfnFonEF4UDt/MDM2gaJQp6hU1V5I7kOmqFgVIuSsQR7ljqWDpU+pKJ//y5de/VvWf/C1x/B5w3XtBOQCIcsCV0vsUqBeHhG8o/ZXAYoGMAu2PI3V39u5GScvfeKspf4l8luhuURZQzg157udcTSBXGjhWHDjpU1L/ufKAiuqW3OL9gQKVKrd4f0DWl/bg7rIA4Ht+XHMK6ivobwLyT+q3CWRSSg2vvqai49PrtxTkFXhtXLqAcfkCxqXz6jsf21G0x154R40bS3NUuobTbUuzVVvG2H373pqacxDILpH1Au7lOJJI+4P2iUKpci6ZyuILID1JPTHM02nK8XMSDa8cY5bQZpr37/PfISZOVeop73VKmvdE6quJvalkv5p/PF7HtD5ed7f/nmj/e1INSHuabmCqAHCSuuA4BcFJ6oJ7Uxq8WV/a7eVOQpLKQVIcihqEgPrVZYwzy2iSxuG+U8i3zb4v4Hyj0WAwGPD000/zrne9i7eLfexjH+Ozn/3s133df/gf/of8r//r/4r9OrmgY7sP5+/bd9rkcP3Dzuf5Fzu/y1/ZP8PPPDfHv/rtr/Bap8+Pnfe4fKHAr8x+hD98qkWS6OirDgsPNPjpJ5vshNv84a8/R/rVPqbu0Flcp+caZFFCzbT4qUsVLvb2aHb2cJYMfu1cjHlnhcLGebw4xZud4BUT3MMy9SjlA2GPWTvh+XmT7Vkf37J5IFhkMS7x9MxX+LOlX2feW0HrpuzUXuKB1mM8nH6UensdzSsSaSmpFlLpaiSjXXasPV529uk5EcXiPCv1C+j2PH5Qxk4cCqbOmVmN914w6CYBv/eVWxy8sE34wk2Ma30KqcX6lXne8zOP4z4yx46Keo3Z8mO8JPdQrgs0MaQ1YZL2SOIRs1lIK6lCZBJEHv3hFtVRwFm/hNNa506rwFYjo1tNiEUG10swByn2KGJu8Yja6hHy6PPKTo0vb9boDhKMIMaMIp6o+vzYmYCHajrFzCYOi/Siefapc90qMZGUUWlKY+LTDHtYxhEbJZ2bTpGeWcLSTS64Dh9szLJS1Xleu8kr2h4DLcDMoBnZzPiSxNrGTDKW+xHnDoa4z25x6yt3uPnqIVGrztzP/xCF9QW2Ao8/S0Ie8xwePDdCn/XQdYOKucD52qM0jDk6vq/k7vcnYxYPX+Lczc9id24xGQe8dPhhbr1wEW00T6HUpL7sMHcmpaQNsA63MbM27kqC1dDQ3CJaawX74cs4Z1tkXsLkxSO6T9/Be/4Iuimm41B+pIo2G7Fh3eFmc58b7g6vjl5hFA7uHfsq+j0lDUMluy4y1HLzIxGMAjZMt4jhlhU8Vg+927Nkf/Ju2J4jqb1GcvFPMJcnuLN1nNkaVkFkbgXYiiSxcbct8p76tFZyqNN18hoMsk6B+HqN+GadZLNBOnDJ0ozM7ZA628RsEiUbKkrVik3syMKMLazYwIqkNk/VklNp+lB/klpLPOlPbfS074QpH4NlU8Ouucw8usriRy+y8lcewF2p0PYO7oHth+M9DqbLHe9w6sGfW9WpM1daYKYwz2xxPm9LXVxgubL6piD++Dx04/YRTz+3zdPPbnLzTkc5HDxwYU4B+ScfW+Ew8fjVL73En7y8y+Z+TBo5FLQSVbvI+kyZH3tkjg9ebvDEuQqubZzkLlf5yqeR7Mnp+nV9mUS7pjEvdn0+c8Pn5c0ECZpwdI1LSzo/8rDJRy/b2BLJPXWM0E1DRUDLb7cfaNweZNzsp9zqp2wOJapW8s8mrBUj1gs+Z50RZ60+M1mPOBhzs6OzPSmTqpxXLkU7d7SQm/lRqOEnGqkm8xQa1ZLBXNVgsSXAyUGzJZLDRTMdOK7Nt1YxOG1JkNJ9NaBz1aPzkkf/eqDu++2aQWUNCjMhZnFENOkx2eky3u2qNA6xl0c/i9m1Ik69SNQPifoB0SAkHgVEo4gosIhxiSmSaJLbt0SiFVQ7l+sSgC/HWYhtB5iGOMl4GOkYI5mQBRFJoBH7EUk8wXISrGJCbSmjsZpRmdOpzEF1TsMu5g8t6sFCSQlLhLhJkMj518CLTMLExE8s/MQhTCwCKZHF6MCkc6tA1NeYmY249J6Ic4/qVKo2hbKt1AM0W3KQlVTd7zpc+1LGK58P6OzGULJwH63iXS5yM47Zb/vEg4BC32dhHDAXhiy5OmfqFiszLqVFUcUo486XcBfL6GWTcBDi9Ty8nk8wyKGeYevERZeJaTPSTHp+RnuYcDRMaA9jOqME29BwBaw7+r2QfVoXndN9ebuo4Lum1kl0/NcaK2GccW0n4MVNn6ubPtd2QjWeKwWdh6ZR9VfOOKy0prA+TUj7Gycy+GnnmpqYl5y2AumNmQfQZx5Er67e87nyN/dHoQL2O4Mc2G9P6/2hSHDn5hgaSzWHlSmsXzoF7uvfYNT0O9mUCknfU5D+sD1WtcB7BfGnfRLRf2ylop3D+kaRmYJJ0zKYmy1z7vFVWvNVdV8hoL7Tj5Siw62DNtf39rnT7nLQ8RiOlYuOOmcXzTL1UoHlVo212QYzDYdWzVSlWbNo1U1m6halwjf/kJ7Go1OR9dPoegE2IiPuLGIWz2AVVkmNWUahQd/T1fjfHybs9xIOhxHtYUhnGNEbRwy8mKGXMPITojjLlQ3SvJYtOg4QEJgvcwoyRyuS+rWiQHyL2arDvCg6NFyWmwXONIuszRaVvP43ahL9fALwA49xGJwC8HdBuxTH+P4fu/ftO2/iIHIM6lWkfU/qIwahfwLtV6cR9iKLP1+qqONBjguJ2BdnRJHZlxRVspwfN/m6fPnU+tf1n7x+WsuyjPUTZQknV5c4VpSoOwWVFuL+uL9vXzOC3z/KizxnqLqt2tnpdnKvI5RmV94E3udFs6toZimX5pci0rP3x+APvAlkv6Mi63NYLxH2vfjoJK3IsTPg601gftGoUNTL07pCQS9RMqTO+0rSp0B8DuMFytvfxdy6QerxyuQZXhx/gauTLysngqrZ4JHS+1W5UHhUwd1vStb7sE26vZdHQd8D2KcS/gLlp3La32lT6fIkIluA/T3wfpQvH0P84HXnCfmujTpao4au6nouPd6oozcb+fZ8B/aR/GbJ9dt5ZLwAeZEll1Q5a2fQBcY/cDGPUJ1+dpgG3PBf5OXx07zsfYXDcOcb+hyZa7I1B0vPYX1eLGzdnQL8af90vX2y7CiHlCXnLLPW8pumfrhv34Yxe9C+RxZf2ipv+qloeKm1eu3+Neq+fe/H694ByeY2qZQ7W7mqiooqs9RYNQTYn1lWRWs17o/ZH2Q4/8QTT/Dcc8/x6U9/mh/+4R/m7WIXLlzgxo0bKkr+b/7Nv6ki5CVXe5IkfP7zn+eXfumX2N7eVq/923/7b/Nrv/ZrXxfO/9Ef/ZH6e29lsgPr9fp3dKC89tpratvu2/efPTd6jX+y9WvUzQr/VfKTPPX/+iO+8IVX+EBzyAfPJaQ///f4b/+8wdWnjwhNj2TRZfnyDJ98b5ONvQ3++Neukt7xKRUXGMzW2dd9EWxFMywykb3NQE9SEjtEs0PmkxolzyXOJO+RTknXqXgOruVzxeggp6OjSokFy0N3bXR3nuuNm/zm2V+FqIl9VMTnRRZx+UjhMtXmBTytgdNdQfdLBFlG2xzSjmK8wZhJsMe+vk+kBcxZVc5XH8ApX2ScVSVzMqkZsTYv3r4eL/YO8ER+64U9si9tYm9GzDZLfPSTV/jof/AIy5cbHPiJymt9Y+Cr+s4oVI5tEklbK2UYhQmY25THB7hHRexRUwHAgbdLMRhzNrBYMWbwazPcqKXcbEb4VoYdZyz3EmadAeW5fSVp72w00a7NMZ7YDIyEiZYS6AluOWS+OaFeDnGMlDCQSWuX7bDEfqlORzyENYPSAKoCrkchO4UJO82EflknyyKKwwEzk4B5Scl+2aA/FxI6ufR9NSlQjWrYOJRwOUON9ZHF5Fd+mxd/9wukF1aZ+asfIlqs85zmE252+eTBMt6VAfHZHlgpRlRmXrvAhfkHkbgegfR7/Q7Lm19k5eZT2KM9ssYK2/Wf56Xf79F92cBKW5hmGatgUWhm1FshzeqAVmUXpzBAgmzDIxsqiziXlig8MIuxXqG7sUnvK9twLcK6rWNXDexlDaNmoM9W6V3RORRpX8l7PpWFk3x0Uot3YxiETI4O8Y7a+GORKBJPwRCrZGA1GliNWfUQdfRCgdu/02CyLZHl1yhWP4tmjTEXalgLNfSqi15x0CqOCpE+/hz1WWpy803aUk+Xs76LtjWPvjWPsb2IMcgnUcP6IeO5W0zmNvDmN0iKw1PQ/Ri2Z8qbvqAXcHRRiXDzWv7pbr6s9mheS+u4Tmsafium7R+cQPhe0Mm9PKeR1HWnyWxpQcF2ge+zx7UC8nNYmXU3n7jAbj/haCOmt5NgiwN9RVPFLgt0TnjxtUOefWWXZ1/epTf0KTgWj12e510PLXLlwizPdg/5Ny/f5PMbHQ66GVpUoGyUKemSu7rExy80+OD5Cg/Nu8rb8/Xw/fj3OfFUjRO0LEUnk5sV1Zb98Ew74ndvxnx1O2M00LA1uNDI+NHFiB9qhdSLGrrkbrPknAbDJOJ2kHI71NiIDDYiSW+h7mJZoM+adsDZZIuz+h4rRhfLTNX7UsvmleQSXxyd5yu9ZZXOwk26zNlDLi/YLBcmLBUmzDoBRTMj0ywFtGWvCnjW0hA9GmBEA/Sor2otmagoiWPLIb2Ae8lJ56I5ZTSnguZKqZ7U+km7QkKJ3vWMzosC6336NwM1ntyWSfMhl+aVgqoNO1SQXpXdLn5nnOeCdy2VA95wrDwFhm2SSfT3ICU58ojbHbLeEXGvRxgERElMmKIguRc5jCc1/KCkFAck8iEt2qQzFnpZIkRS+vsx/XZKIFLheu7UlFgGqWWRykRQ0SUruCSyzfI9LCOP6piO2zzGNo/0sK0M186wjIwgzBh7Es2eMO7EhJMMw5QUEyluKcY2Qgr6hIIxoWAGFIzgpI49jd5BmaOdGklgUK8GrF6a4D6g0ylUuD2ssB2V6cVyTGgqrUBj6DMz9Jn1Ama9kIUsZa7lUFgo4y6WsCXSvmKBa5CYmoqqFrOKFoV6gULDxa25+fZ9ly2IUhVN/+IdX5XrezmsrxZ0FVH/sIL1AjRz2Chy7mnv5hTWv0zaeU31qUlxu/wNfWaUauyHDju+y07gsuMXVL0bOLSDu7nWC0bCkuOx5PosFiLWmwXWZhqsLixg1SRf7uK3JaLO932eeuqpEydcVyYlv0cm57Rw4E2VWYZ4RyOONjuq9Le7DA8GKs1K2BsTRQmhOCDJTYoAuaKDPV+jeqZF6/wsyw8ts/7oCsuXFzAkYgnoTvo8c+dlvnrnOi/v3mHj4Ah/4pAGNQrpMlY8hxbVKJgl5WgmNte0eGC9yKW1ApfXC6wuSD6+bzYdQ0Li7+eR9dP89UnY/hrvEGcfC7SpNLJMJqoizjg2g8Bm5Nv0A5PexKAzkbQnOt2JRs/T6U00+h4MfRgHmVInkHGdX/eOr30ZrpVRdlLKTkbVRaWiqRegUZR0OjBTgloRynZC2Uko2VJiHDNRpyJNd1Q+QhUBqtp5rkLVPtWnqbyFIv88rb/PpOa/m/Z2Ol6/FyZjWJxDjkH96Yj7YXgvrBB4L1L5El1vaJpqizy+qLaofrV8ar2uYyrHU1mv4eoJJS2gpAeqjpKQURgyjEIGYYhktpHTjyQayKYRoUVL0iyIU2KBil1Q7YpTpOLIcpGqQHy3SM0p4ijHw2neTXGWPc5pPo0ivW8/eMeqcsCNJwrUZ77A+mmR9jHU93LAr7xPX2/iKGoWcsl8AfUK2pfvgvtpW1fLp6D+65ffwun4vr1zrR93FKTvxocKrAtsvwvd8+V3WnSyzC/c9F7khckXFazvRAfKweCB4rsVqH+w+KTatu/Ha6uSXVfAvp8D+25fRYVKLakLpH06b7qSIT8N7I/bdYH3dZGu+sbUB+Qctbs/zR3/GsmtOyoiVf6miox/4CLGhXNKZeDYDsJtXpl8hZcnX+G69zxRFtEwZ9R+kn206l4iyWKiLFCpG8LUV+oO0pa+MA1VrUoaqnVRNu1LpX38ulP9UqcBQeYrBw4xGd8L9ipL9lmWnbMs2usK2leMbz9ruG/fWXunHa/37e1tKg2KqDzcyWG9gPus072r9nAM648j7CVVxX37wYDzv/iLv8g//If/kP/8P//P+cf/+B/zdrGf/umf5j/6j/4j/vpf/+sYbyL30G63+dCHPsS1a9fUskTZv5nE/Wk4f+vWLdbX1/leDhT5vhcvXvyuf4f79t2x3aDN/+fOv6CfjPl/LP9t2r+5ye/9T3/AA9khP9o4oPHhT/Dlh/8W//wzAzY37jDURiSzFeYvN/iJd9W5+cIN/vw3X0MbODRnLmKWD/C96wS6TmFuhbi5yLAfcpgO8SVmOCxjRLbKv51qBnZmsuBVaYQFIivAL7QJdZ/AtqhpUNUt/Jk97jzyWyRBC23rY0yMDTJrgznT4a/HD/NJ02XUDNksVBgmc+A1SEgZuF020xE3hwM2+0M8TSZ7A1pZkUeL76NWu0BmOQwI8KwQH1/JlY5kQtsHve2jHU6wopRGzeXSg/OcudSgWDQxRV5Mh0GS0IsjOlHMURgzThL12anhUXI6LGQedU+nFpYRzeJJ3KMXbeO4KTOFGoVkhQFVdp2Ifi0EK6Ju+iwWeyxoE85tVJh7eR0nqTGuRvRsn2E4JAk9bC2hVEwoVyKcYjRFURqTrMC+7rJhFjiKbcK+QX1g4EYWew5s1xOOCjFJHGHtj0g32oTpAcX3WhSu2BhVmYDTsD0be1JEDy3ifXCf95j54y9ibm7T+PCj1H/8cbrzJTbiIe9+do+LlcsMz+n0Z7dJSwFpbFDozLPKA9TOznInmbB3uMXytU8zt/U0Vurjvu/nCFZ/goNre+y/0ObwBZ/hHcm9VBLcrCZS3FrE/NKYhZUetXofOjH+HYNkYuFcnMW53CRYhVFrgraXUbxdwNqW3L4+mpMpQGOtNym+dxlzpfKWD1fiSOXvbTPa2mByNCaOjFzmu2pQXJinsHiWq38R8uf/pkvkJTx8eczZ7FXirX3C/f4J0NYtA2ehgbPUxFls5EXaS03s2SraNyAzOu4k7L8SsfdqxMGrEd2dSAF/t5VSOx9TPhvgro+gPsZPPPzYU7UXTd7QFilj1Xdcpq+X7ysTn01nhll3nqYzy4wzR8uapWnNqLpmNDFS4x74rorAjFikkzKCEfR2NXo7Gv0dGBxoSmFJjUYNJd889iNGXsQ48gn1EFvAxqzF8lKRuTmDa2Gbvxjt8fxoyGEsDgs2VXEPSV0WTYMnignvdiIe1H2MOCYN4lxySck2TWtZjhMykaqXOpQxcJfRyt55wanyaXORF9Mm48jGSlPW9SEfps3HzC41S+Q2R4TJhG2zyKZVYdNtsFVs0pcvnUEp8lketFkZHrE07rE8HiAoHVFbkAk7Ac26yW1nlhcKC7zozDHRLWYIeDzr8ggdaN8RzXdWL57Dropag41esDEKea0XLLSCDfIsZaRkekzKVApem0aCWhqWmWFoMQYhRhaIlj1Z5JMFQzJ/WqTtiYPL3Qj401BfwXqnRJJV6R/M09uZobdZY3Qgx59BoZXRuJTSfBAaDxk4NdAEZEluRpHV9Uekkz7ZqE06LfKZdz9EB6tOljUIghoHRzPsHjXZadfY61fYjyocZTahyLtpGnGikWlQKOrUZ01K8jXGEfFhAKMJRuJRKEY4poyFIZo3QWL2HQsaK1UaZ+rMnG8yc2GG2UszlKpvlH2WsR+EMPFSdl7pc/V3bnP7S4ekrs3se5ZoPLpAomuMRyGTScRkLCVRr/f8lDDMCMYpE5H3H+VzwJYAuoJHw+lSLw2wiiGJreEXSgysMm1KhAI0JbohhVk/oTUIaByOmBl5CtyX4gSz4mA2HfSaAwUTvWpjNl1Kq1WKCyWKc2WKLUk18N2fJJT89a9uH0fWB1zfE4cmqJcMHj7jKFAv0F5SLyhYn4Sk3RskR6++Idrt61ku73mvBQnsTHR2J4aqt6f15gj6Xqw+Q08jFp0Jq86I1QqsN0uszjY4MzeHU1/Job315jn/3sw8z+NTn/qUan/iE5+gIJKd3wmp+0mI1x4q6C7wXcD7MYRXqVIkTcrRiPRUpLyYKFnkqSjKuDNl3FaZQquiailH7REbL2yx9+ounVuHjLe6RO2BhHqr94sSiNUqqzRGjbOzLFxaYO3RFRYfWMRqFrjdv84rRy+q8urRi3QnogBSoGlcZNZ4mGy4yqDd5KjtomGoFAkXV3NQL8BeyrcWXT8hiY6Uc4fkrBdJZHEuJJXzoLTjXCJZ2tO+fDm+u3z8vnTani6j3hOpC1SW6fixySi0GAYWPU+jOzHp+zo9L4/aH/o6g8Bg6BuMQ0nXYKr3hHHuEKQflynUFNWTmpuyVI9ZqccsV33mKhPmS2PmSkOKcp35WqZZ6ArYvwnIny4b9gxW8SyG3boPKr/Lx+s70ZRjTxJPQfvXhtu5ApHk2OyTxgNSqaM+SZzXaTRQ6+Q4umvijSLHea5mk6tz5pH4kaS2mLYlEv/e+m779SbHlDgLiINAXgws5SxgYhgOltzbmy62KgV0ldNcrvc5xJf7seN2nuP8eJ049Ezzn6u2jWYUMCxJ4fT2kD7+QbDv5LGq8nX7XdJoqBTITkr8unY4UrBfliW/bL5elkfqWvNWJudgycMkzvBTT6ypE0nevutUcu+6k/7Xv/b0604vfwdNno3VsSHXl2lB+k7aUsuye6p93O/c8171/HP/OvS2Njmv74a3eWH8BQXqN4MbKtr6QuERrhTfxyOlD9CQ9Ig/INdWNWcznpB2uvcA+6zTI+tN69PR96Y5jbivoTUaCtjn7boCUQKtkmvXSa7dUM4AEmFqnF9XeeMFyJ+WJhdI/pr3/BTIP0072lNg/HzhCg9Ogfy8dea7dkyJksRuuMF2cJOd8DY74S21LKBfrGLWFLBfmsJ6gfYC8b8ZBYb79t2177fj9b69/Swbj0kE1ksKFImuF2A/TTsiChAC7AXUK2gvqhCnHJLu2/cRnBdJ+8cee4zd3V1+//d//20VPf/17Hd/93f55Cc/qdp//+//ff6H/+F/eNvD+e/Vd7hv3z0bJx7/ZOvXeWF0nV9Y+GkWrtb49f/+37LoHfFTxjXqzTXix3+S38ke4CtHERtbNzn0AoKZIq3LFX7owSI3/vQmL/7JLrbepDKzTNN+maz3VWItYfWBNaofe4KXBze56t/kwb7Lh80rVPwW7RciXonq3CpVsf0ihcAiLY5pFneZHfi8apWIHYfiXJtrj/0GUWqgbzzJYH+did4j1QJ0FQlcp2W7zFgaVSOhYupULIey5F93NKx6D610xHbc5dnOmDuDkYrEPOs+yEX3CiWKFLwQy4xI6hnb7oTt8YjxJMIcWGhHCVovVnLWxYUqtZUKpYarIvBVqpYsl+oNJU8pKaGeEqkSk2gJppYwrxkskrGoaRQFtcUDtie32BxvcBj6BKnkzltBN9fInDKplaLrCbaeUEg0Sr0C7riA4WiYZQ1KCaG1R6z1hZYxZ8GimbJqharMWYmazIo1jTYu3czBD2wqfZtiVGHXNrhaSNkt5DlwWn7KXDShXD5ksDyiPRsTOAL/dEphAWdQwbudsfNbd7A+c5VZv8/Zn3o3tR96iG7NIt49YO3mPpfPPYD7+Cq7xk08p0cseYrbJeq3zrBYXqV33qQ3eJnFq79DrXcbuzZH4eIH0VvraPUl9GKNIDTZfb7D7tMDjl4OmWzrxCMDyQZSaU5ozA8plUbo3hhtI8KIdXTHhGWLaE1HP1+mfm6Vwo5NfOOIdDTJoWbBwlqu4z42j3WmgfYWsrUyqRh2dhhvvMa43SfwhRCaWEUHs9rgpWcbPP+Uj1MyeOD9JeZWTRrlgLI2IN7vEex2CHa7BDsdgr1eLr89BSH2fB1nSaD9FN4vNXEF3M/VlGz6m5nXT9m/FrL3Usj+tYjuHQENeVT6zDmDmbMarXWd6rzMi2akkoIhSe/WKr/xcTsjiROC2MPAestIAJWjXsm43y0yCTU4gMONlCNVMry+KBJkmG6MVZ1guENSo8vQa/PS9oT9XoaVWJyxC6yYLvOaTRwb3E519lKXIC6gJTZ6pmOkuqpNMkqGT0sbM6+PKLoxjpRChluWAlZBA9NGsywyQ3I7WGQiq2dIEfUOk0w3uD7U+PxWyk3JlT4GS9NZaphcWS1yZdnE9o+I+wcE3UO2xzbbcYt21iAu6VBNmZ2PWV2By+csLq5UaFYqaEZRSeKLI0AaxiqtRxJEvLYf8Re3I760mShZ8paT8p5WwnsaEStOLJ4KxH5A77BD5kdKBhaJ+PdCUi8g8aJpLcvhicPHsWkigV+zMOo2Rl2kwwsYAnFlHk/LyLwAPB8tmKAnPoYdYRbBLGnoboxphehWgJZNyET6NvTIooAsjmBaMuXkEBIJoGqfoX+4yuBwlXE/n7Rxyz3KjV3K9X3K9T1KzUOsio4uSeaLdfRSg9idpZ2ucRCvcOjPsd8vsd+1OeyZJGkOqF1HZ76p0bJTmllMIwyp9CboN/t0N2OOBjq92FSAeu7hApc+2WJ23ab/6pCDp/t0rg6Vc4g7q1FeSbArPkk8YHj7kOGGQL1UjdfycoPa+TlqF+apX1xg9l1r6jh8w3XwYMJLv/Ear/3uLaXAcO7HVnn4b12ivl57w2ujKGPiZ0y8jOEg5sYzA659ecD2TZ+RD34GsaGRuRqxqWEYMZYRgh4Sy76yElIzI7RNxipVgYxlqFgpC3rCYhIzM4po7o+obPcx/PjEKUaOb83QMAoWZtnGrtjYNUe1DddEL5gkrknsWviWiS8OboZBoJsEuqGc5AIBkplOKHWqEaYaBVfnyQdc3vegQ7n4jcFUyXH/ynagJPAlsv7mfq4m0ywLrM9l8AXaz9e+8xO3fT/mTtfndrvP7b0DNtp9Nro+PU/GdaAUKBbtCWecEWuVjNVGgfXZOmfm53HqEmm/jCYOOK+zWFIX7O+r9vz8vMrwqVIvTMtx+w19Kk1DpNJCqP4gzttBPH1N3o7GAUFnrF572qyKey9oPw3eZ6Z9zdKbjuWvZ3J923x1j9vPbbL10g5HNw4Ybh4R7A8wx75SGJF7HafkUFisU1trMXdxgeUHlzDO6my529zwXuPVo6tsDTdIRDEhMbAmF7C9B0n6a4yOWqRREcdwWV24C+ulXpp95+ZJFwnvziikPfLZ63tsd/Ky2/M56Ie0hwGdcaicf8JIzhWiKJEDUds0VL77RtlkpWlxbs7m3KzJYh0WqgkL1ZiSHUqIAlkaKGcTVR+X6XKa+KSRRCzIuaCEVVzHKq1jFdcw3aUcGP2A2uuPV/O7JLX7TrE88nh0CrQLdD8F4KdAXpxZTkzyTppVVQRg61Yd3apimNKeFrN8Mu7uKlBM08+IU6GC9tPlKcBXuk+qTkmSmFHk0/fHDAOPQTBhFEwYRr5aHocTJuEkdzqNPLQ0xtJSLPV8lWHrKRXToGLpFE2DkqVR0DXEL8g1JFVRhqVl09e/dXoXAZG6bJfa1up026S+u/1yzL1Tz19vJ3u7H6viXPhmUD89WZb84jKmk5OxfTKmp+3T60TljNPrlBfz8TFw7zpJGfQdtzTMnSbluqKKOCdL7eftr+Gc8AZTqavuhfX5NmVvWmdvtk7s+Lc4bk+fgU5+o6mZtfOYs+/CmnsCq/WISqV0374560aHvDiNqBdQLAEAK845laNectUv2+fuOc+93Y/Xb7ep65goah5D+ym4P93OPNGHvGuSR1zB+MsX0M+unkj9y986iLYUiJfo+Bvei8RZTNOaUyBegPzFwqM4+tsHoMp4aEe7yqFDYP1OkNdH0f6J89ycdUbBegXtBd4769SM+w6jbwf7QTte79vb5Pmi189BvUD7zW2SrR0IJW2dhj47A66oyeXzySc5547buqQPNfL2m6xXwW2vL9P1ap3roi/Noy8tKCWUd4J9X8B5sevXr/M3/sbf4OrVqwpk//zP/zyPPvqoykf/dr4gjEYjKpWKav/UT/2UgvVvdzh/P+f8D4aJ9NW/3P9Dfu/oc/xI4z38cOcJfuW/+w3caMjPWq8x61ZwKo9xhzm+MvsARzWLz37lJjvDAH+mQOWSy5NLKePPd7j2F13iwMJtzNAo3kYbP08mkP7yCltPnOHz8T6lkcHiwMVwC3y4a/FD12RipsJvza2y483gTFzSos98bZv39Hq8mrn0mgV6D36BvYWrNLw5Ht/4MaLuAlclz7ixQ08mPo0VzMQi9iSyV54tNSyF700sTSIwJF9vgl2eYJfG+PaQtie51+eYK57BxiWJYyb+iNAPiLWMkRHhpx3caEL10MbdM9GGKVrJIV2vE69USB2RjJ/m+j5WHBdIKr+tgmoRVtFDc2LizKJsuCzaRZYshwXLQssS+kGfW73b3O7d4CjoUbZmKJhL2K0WWUsAToaRZJhtm9LtKsW+RaClHNkhSX2EXU/RXJvEQGLGVcTtTMlnueRz0fG4ZEXMGomKSEwMAy91MH0XxyvQCW2etS3uFHS0VGNlqLM4BL08Yfdch4P1PmYhZCYqU0hKVDrg/N51tn/vBoEXM/9Tj1O4ssbtA5+XvrxNoT/kgZk67/6pR6k9EjJmj4iQYGJivtSicWuJ9FyVxPwC89tPUfaOcKMRukxgGIYqQmD1chOtKKWBF7TYu97i4EaZ8W6FLLBVSgGzMCKKjwh6HaqaR1WiTyORUs4wzxQpP7FC64cfRtuJCK4eKlCvFzL0soU5X8F+YAZzvobRKL5pVLuKauxvMb7zKpP9IzxPXCuKTPwSr75Q5mDHoXcoE5B5PtvGgsHsskFryWBm2aAxg/IkjA96hId94sM+0bSOjySieRoxJFF3jQrWTBWjVcNsVTAaVRVBrW4yVHS1THzoRP40Wn0Lulsa/X0BAAKsobmi0VyF1rpGbUmk5CViSooA+VTlxg3jXC5cZI/9OCUUWC8yyHGCHyYEYYwfxPj9jOjQID6y4MhGH9hqzlYk+X1jyETvMs6kHBGJ3MTUbFOnVLC42HR5dL7Mg4slOqWMzyRD/njkc2Ok4QU2hbRMU/L2pWXmzQKPNEs8JjmSGyU0ySHu6XgSndzP8HoJ/jCX8v9aJkeg5B/e74UMRokCqSKdXiwLDDZZqoTYSR8t7KvJtZ7m0jbqHGolYsOkXjBYLuqUfY10oHE64LxQFecQKRnlRl7HTkw7jLjTC5kEKQVLZ23OYn3WZqaSqy9MB9L0+8lTr8hNR6g/nkyjOFUtKgAyYSYRnjIxGCspqSzMoXkqyzLXd0+Rm1ZLTYqJg0LupCBZ70XyP1RRstFBXzmKJF1xUtFyJ5Wqi1krnBSrVsSslTAbJaxGBaMm0MdAdzJkwAUdn+4rMb3rGsN9l+GuTRTohLFGUkwJyikDJ+PQ0DjAJDFlGxMq9pi58oDZUp/ZwoC5Qo+54pCy5BHQi/KrkimJAIcss1U6Cb00T9AuM3g+4/bnJuzvpfTGGmbJYPFKgYs/0WT9x5r0ro0UqD/4Sg//MER3dGYeqdJ6tERxMSEa9OjdOKB/Y5/+9QPiSaAijc/86BXWfvIxqmszbxg/4Tji2u/c5OXfeI1J22P5fQs8/HOXWXh89uveX8q5YnwUcXh7Qvv2hMNbEw5veuxv+XiJTiCSwBUDU2Rh3JTESPDThF6gqYhcX9J3ZCaB+v00dCdFtzMqTkLLlpQNBqFE7UaGgn7y28fy+6fTksl5IC/HbOT4e72ZqecdLUXXJIewXMN0OQ1RdxLWqjFX5jKeXNM5s+ritArYTRe7WUC33xz+yfgXWC+gXoC9wHr55FbF4OKiw9k5Wx0XZ+ctGqVTx8Z30AZ+rCD9xtGQ2/uHbBz22OhMGPY8zPEYezxhIRkxnwyZJaKpmdR1k0LmkIY2kWcQi/T5FLyfnK+/jkm6B7MgqR8slQLipH287B732ydR7gq+qyj4knrdd9vEgWtnp8fNF7bYfHGLw9f26W0c4e/2sEceVhBhmjqOLfd3RSorTaXqMG74DBoDeuUeXeeII+uQDkckYZ1wtIQxvgTDdaJRC8cs0KwUeex8kwfPlhSwv7BaUBH334rJ2E6SXJo+jiXnvNSn20m+LkpPllWdpJiGjm0bOLaBbZmq7Tomlqjf2KYqhvHWIO9rfafeJGS357HTm7DT87h1OOLG/oTNts/RIFLgPozy49dAx5bPNHWqBZPllsvZuSKXFkqcmSmw2HRYajo0SnedXATQx94dosltovFtlRJAXZw1C6t4Jgf2UgqrOSy5b98XJqA7d9IQgOaTpsftaa2cOKT/bvukL5mQxsP8xuHY5Jpk1u6CaKs2he7HYPoYvL99Ui3I8eXFEV1/clJ6J23vnmVRQ5tEp5UqJGFQRtOxmXEdmlIci9WSw4VagVVRRssmSh0gVQ4MUosSUPa63ywH9ob55gBf6q8nfa6iu+U+73XON3f349QZ500cdPIi94q+GhP3RGor2f9T6QCOI7vlRlgitU+isuUaPJ34PFk3XT5py4SoPHcU0I2CqjVd2jLBKnUx7/sBdgj6fjUFxN8A7vNybzt8Q3/u3DM9Z5yMsWn7JOXUdCy+/jX3qAbcbefXPrlPjYk7LxMffpXU7yhHALP5IJbA+tknMJsPqfSK9+0bNy8ZK3AsUfVS+6mnougfKeZ56s8WHr6fi/xNLPODHNQPhmiL8+jVfI5fLEg95fRwDOQlpYD8hnl0/JM8VHxS5Xh/O3OLNzM/naio+t3gNtsqwv42O8EtNWbEJE2CRNYv22dZdNaZtZbUvIzI8udpHSNEY1TValnmRSOZsVAOC/nrYmJEMfJUH/K6eNoXnfRVjQarziXOuBeVQ4mt37/fvW/37e1iEiiTHbRJ7myR7eyRiee6BM9MiwqkkTkqFek4dVCUWgWjHPedXp+nLM2SqeNjeur1vtx75IE5+kxLQXp9eTEvAuzfhlL73xdw/rRkfC7L+41f1OS14kn0vbJOp0Or1VJtiaD/d//u373hNffh/H37Xtqfdp/mf9n9t1wsnOEXjJ/if//F38Y7OOJn53ZYaRQpL32A7osDOmmB0eOXuFmu8Nuf2WJr5DFq2ZhrLmeKLvU7ATtf2sXrehiSP7DUwUlfUBGEjz+ywq2P9rCrBf7vTy9g3OgQzrfInFV4roc3jvk/ZuZ5JVvCGDSI7Zhirc2TwSHYMa/WD7l24UWGjX3O9M/xw3d+muZkmSEht+MBG3HEnqFh1wzOzNnUKwaTNKAfRAry+UPJBSy5SVNGcUgv9Qi0QEW4S/iilgn0FalDkTyVSd+QNI5J0ohEy3OJm6mBHeqYwVR+1zXRSiaZa6gHWslpLXZaVluZRBg7EZYboVsZsUSRpjbzxQpnqiXWqwWqjqGis7b6I253e9zuduiPPSw9n8zXXQtNIm4lGiswcScmtqejRVDMdEqSc941VFR3Ws4YlKFbAN/UyIyUpZLHhfKY8wWfFTdg1omRAHIRpZUI5mHicjtzeA2HUWhztguLQcgXP3hAvDSmqWmUIldFQy8Oxzzw3Bbtpzye2/OZ+egjOIstbmyP+dwXtujvjLFijcWzLT70yRZrjwRYBcmbpZO1S5S+NEfmNZhc9iiY+6ykB8xPtrD6O2S+yArmMt6ZaZPJ/hDkGOcPAIFfYdBZo9++xLC3hj8pEYUpftBh0N3Bijq4YYeZTMMVaHmxQu1nH+bMRx+FF8d4z+2TTTwklZZRNzEaDtZaA3OuijlbRS85bw4Chlv4W1cZ7+3jixNJZhInNt1ukc5hgU7b5WjfoteWKcB8YqwxbzAjsH5FgL1Ja8nEKeTjK+mNiA4HxIc9goMeo90eg4MeY5ExFmgukboZhGiqHVsWsWMRWSaxbRGZBrFukQQV8Kto4yq6V1LjQ8arXxjhl8d4pTFBYUym33u5FkBRcC1sNAoTB3fgYg1djGERPTCVhLmWjTGMHrbVxTV7lCs+5dkS5ZkqlYUalfk6laU61eUW1eWGkmoXCdWv7m/xB69c4w+vbrG5HyvnjJJWZdZtYKUFagWHx9YrfOzhBh96sEGt+NYP//JbpUGC14nwjmLCcaLAojGl1DcPPP70pSHP3Ao4GKTKUeLhRY2PnEn4cKtPMRkrGXYBUK9R5UtZi2fiMhNMlm14XznlfTWYk1AriUbVZf+AKLcPuxqjrp7XPei2NY4Oxak+U/eEchtSriY0mxEzrYByVYpHqeJTLE0w9FyOOfdskHuQ430g4Ceb1jLvZOSyqjKpKzKRMsF0Ur+ubUwlWaevOX2ySSUqdzghHUmEZUR6fBMrnywR3Un+WyajgGjkqRzVYXekQP5p2Wx5R6A7TMpNRqUGQ7dKXyvR9mxVkrFOwctUafgxZS/FShMsEmzTo2T3KFoDHLuPY/Ux9CCPopPjerrfVITQsaeBOC1MwYFua9gtA2e+qJwF4qzOzsYiWzdmGPRK6l5w4XyBCz/SYO0nWqSmzuEzAw6+3ONIourjjOKSy/yTNWbfXaf1SJnx9hEbf/QCm59+UeXubj60zOqPP8rKDz+oVDFOm0Sq3/r3m7z4r16ld7NP82JdQfr1j4m6yTcHKiQFRGfTV7BeoH1boP2tCeNOHi2ti+LLSonCoihzpOhOSKR57A5itrtwMDDpe3KEJlgqCj/G0mNsI8I2MizbxrRsLEukfk1cSWHvQLmYUq3o1OoW1bpLyXEp2A5FHQppjBEmZDIOvJhxL+CZrZiv7GXc6JscTCwi31DjppjGzGVj1sMBD3h9zrghpZaDLcC+4Sr5c6kVvG8VsKTdKhBYJq/sSGR9oED9rYPcgUVM8tavz9k5sJ/WomjxzecrzyXhZX+G/QlBP69lOZBaLXsEg+O2rPOJJY1JlOKLg1IU4UtaGl1jos6rOrGj4ZYyquWYgqhPuA5mwcEqFrDLRexyCbtcxqlUsas13FoDp+jglhycgoVjGVhyHyIR6KaOPW1LPud3mgns3j0YsHHjkI0Xt9l7dY/OrQO83R6GH2GFMWYYYUoqkel5JjFihtURg/qAXmtEvzGkXw0YaU1i/wyJt0o2WUdPShiZRcmJqRd1ZkouM1WdciFPHZQkOVSPJN3J1JFM6hMILw/k38FHULl+56DeyKG9Y6p9a9vmG8C+vO64LhVtzq42OLfWUu3TJo5wKuq+K+B+wsbRmNd2x2we+uz2ArwgIww1BfAFkDmiuCMOb46pIP36bIHLS2UuLhYVvF9pucjpK/a2c1g/2VB1lkhkp6ai6SWq/hjY69bdCeT79q2ZGnNy/ZJruqqTN1mO36Rf7gESdS+bp2g4fp1MOuVOeWnqnQLwx4A2h/H3RLS/3hRIlXQIAk4ddAVVj9MjuAqu3o10/8GJApd70Z7v0fHHU3CfA/zT5VbviH7gqee5c/UWV2aXeHh2iUdml5gtlkhjSSlyStZf1AZOFAfyZYlEPm3y2+bAvpzve+UoEZ4A99e//g2myf3g8f7LJcV1tWzfm+5CE62p6aSmchA/jsA+vZycasv5crp88rpjRQOVkGCqeJCvyx07PDUe73HseLNUHEZxCvGn8F6fAn0F8vP1x2PxBO7fTyVw374Fy5/H7yhIHx0+Q3T4LFk4VNL8Ek0vsN6cewKzfglNUkrdt2/IBIBK3vNj+ft+3KFglBRMluhoMTlPynUjd67I6+O+e5ZzWbd7l4//f937dc1QqfRq5gw1s/WOcwaQ8bgX3eHl8dO84j2jouNlvnDGWphGxz+pUgh8P8Jj2fZufJhH2E9hvUB7UQv4erfnEoFvYGJop4r806zpsqHk83V5leqTdeZJXzc+UHL8Mm4lTcOivXYC61ediyzYa++4sXTf7tt9++ZN0m2m+4ek27uk4giws6faEuQkplUrObBfEmCf16fTjXwv7PsCzuvfQL7etzL58SWv8PfKfuu3fou/9tf+mmr/l//lf8k/+kf/6GvC+Y997GO8/PLLdLtdqtUqFy5c4Ed/9Ef5z/6z/4zl5eXvykD54z/+YxYWFlS7WCxy9mx+Y3bfvn/tlclt/vs7/xJHt/m/1f4mf/zfP8XWy3f4ycUOl1oZ9b/2C+x+cUTwpes4AoE/fIF/HzT4vT8/YHcyIlqbYK/aLFZXSF42OPzyPt7egTziUygMKHId2/JYWqkxevc6P3T5g6y/dIfytevMFnXS0kX8l7uMvJBPt4q8Un2AoFvHF3huBtQJeDgeki7d5KkH/4zdSof57kXeu/WjzEZVSjKBkdr4icVGBHf8kHYQiSo51ZLF7JxDa0Zu8CALNLJRhp5ohEbAbmmD/cIm5dilqC+A2SRJSmQS9ZgEdCd7dMd7dIIdJtmAyOszu19i7XCW+qCIVSnjvGuR0nuWWDhbZdbJmHc0qrauJuotidSSiVaZpDcTxu5tuu4r9MwN4sRkPFjjoLPCqFPFHFvUQ0fNk4zTkO2oy9Z4k73hHbK4TUmgQa2EUV2hUj6DPi7jdB28A43eQUz7KCYIBKxqOCJNb2qYVkpcSglKJhORP7YsJAhy1Q05X/ZZr/isFHzmrYBCmiI4vK3ZbGUuK9cqfPWBMRuPdVksWlQz0EJLAZ7FUZez1w/4wh97REOdtfddob7UYlJMee3mLvvPHtK5MWHkNmg+5HDlgxqzZ0BzNMaRweCFIsNniowLBayWyVKpyCNrBRYLfQrBAc54D2O4C/4gH6SWg1ZuQbEGTonMdPD2YwY3bAY7FXoHVUZdk9ALieN9sv41CvttiomJZ8QMZnyshxxml5aoJvNUJ3Vc28GatzDnDPSqhSl5nWdzUG/MlNFeJx+sYPF4h3S0S+YdkkwOCYaHjLpHjL2Q4Vhnf7/CYXuWTnuG/lGdYbeoJN3TTEcrZWiViLjgE9keE2OM97q8zCKXLpGaeRHoCRJwrEqaYmcpVpJixXFeIqnldRpmWkWPm2RxgyRuiHyDigKsVDyaMx4zixF6mKlc8d22zcir5N9Ly6gURjRmI1pnYPaiSW2tgj1fU5L89mwNs+zejRAMPDYHHe702mwNOrzWbnPjlUOOXu4xHOgkkYXu1CiUmyRGWYGM9ZrGuxc03jOv0XQ0xF9AGLUhQe7KGUBTtX5cCwCX8rpz1c4QPr8NT+8Z3Bno6HrGxXrEE40B767s4Xgd4sgnSjPu2PM856zwkjnLEJtKFnHe63K2c0S53ScahCSDgGQcKlgpkYxuwcQt6Kr4RZNbVoVXzSYHVgXb1XhXoc+Dep85Iny/wNgrMZ6UmYyrxKkAdlGw0HBrIaVmQHEmpjyT4M6kOK0YpwW6a5NN5SBNs4Bp2pjG64rpnLT1b2KSSUlMiYz2yCPqDoh6A+LBmHQcoEUpmijtJybd0KYX2HRDi05g0vF0jkY6nbGGH0k6BCkJVhpR0zxm3JAZN2KuFDFbSZgpp1iOjmaZhGMLr2cx7lh4RzrjQ4MkzidtnLpG5YxB5YxJZc2ids7BaVrotqneK8dY1Onh376Dt7FFcGcPf6tNsNsj6nl5Tuk0ITJLdOIV2uMV/ED2RcziypD1d2vMvmsG58wSw26Z9tWMzktDwkGgpP0bl4qsfHyF5qNV9j9/g40/eI79p29h2CbLH3+Qtb/yCK1H7s3zp/I0fmWfF//VNXaf3qc0V+TBv3GRSz91Fqv4l5tU9vrHUfYehzdzcH+04RGHOcAu1i1mzxaZOVtgZr1IfcGk1ohwnQkEQzJ/QOoPyHxp58uJNyb0DYLIJUyrRHqLTJzOiLGSQ6z0EEcfYjshRqGM5lTQCqLQUUevzKFX59Er8yRunWv7IZ+76vH8ywG3NyPGXXHsEEeujBk35qzl8UA8ZGncw+0NSSf3SrNrAqWn8N6qOVh1h8Cx6aCzH+vs+hmbo5SuFxHrYJOwVMpYcFPm3IwZO6GqJ+CHSv5dIHw09qd1cNL3ZrM/EpFu1wrYtSJOtaCcAU+Wpa4W1bJTy2tZLxLxw2Aqj9+ZsLHfZqPdZTD2CaKQUJWYKI4VJJZ0ANnrYcqxs4w40qjauqctx689hfVyP+CY2hTe532upd8D9KVWRd07TJeP18vyqdcagU82mpCNJ0qtRVRinHKBxUcvUmhW+Y7ksY4SBckjUV4RR4f+BK87wesM8bsTJdkvfWEvL6NRj4Nwm7a2R9tos+doHJgVJtECkUD7sIWZmrgSEaNPKJAobY1imlHMoJxqlBOdSpqnB5L1DomKhs0ne+X6oR5M8wBQdShl+RSwAqrTWrQ6ZioUlhrYCzVVjNkaxlyVVNJBhHG+TWGiVGSkLYoyQShqLAlBEBPIWJBtDuR103YYq/cMR4F6vdjSfJXz6y3OrTW5cLbF2dUWxYL1lr+pSOPnEfcT7hxNeG13xK2DCTudgP5Yfucc3KfJdN9bOo2SxZkZl/PzRR5cKfPAUpnl2pi6uUXsbRCNN0ijjvoMyVNvKlAvwP5+3noB5Dl8lZzTI9Ikb6fx+KQtMtaqTwFKAe3fmILGW1ueoz3PWW3erXU7h5gn8FWAZr6swOwxkFURzMfQPV+f/50f3P34jdjIj5RTzFZ3ouq8jBkHsYrG7wV3gf0kUt7XFE2LVrHETKFEq1imLtKZIvWvuJNApdzJ0tZjCsaEojGhoOe1q0vxcqc4t0S5WKJWLFMrlbHtfB/qp/e12qfT5bdZNHrukCIpTCZkiXcC7MUJSJQ8pE/1K+cS7y7Un64nu/f+4NiUs4FZRjfKypFBNyVdSyVXbDDutqVfovbvj/H79pawvn+DSGD9wTPE7efIYg/NKmK2Hs0l8GffhVE7f38MfRO/6VZ4Q0F6gfW9uJ0nJTiVnuD4X+78c/pffo38VgmB5DmvGwLqZ6ibMzTMWQXtpS1F5NMteXb+Lphsb5B5jJMBo2Sg6nHany736cdHXPdeoBu3sTSLC4VHlVT9A8V3M2d/5+br3+4WpgG9+FA5XuQA3jgF4PNarqV/WRMwL84Ad/xr3AmusRm8pqL7ZezJ/lh2zitQv6qA/aXvuWKBUv9Jx2r7Hf1+So77dt++U5bJdemoQ7q9R7qzexfcD0QRS6bGbTQF7E9F2c/PqpSp3w37voDz/81/89/8pd7/D//hP+R7YZLj8QMf+ABf+tKX1PKXv/xlnnzyya8J59/KXNfln/yTf8Lf+3t/71seCF/Ldnd3ee9736va/+yf/TNWV1dVlJo4CDz++OMEQQ6QHEceKvOLqjg9hFPPlELhbs4cUSqIokhdBOV7H5v0yTp5v/yd1/fL59mn8kXI35bPkJwp1qkDRr6L/Lav7/d9kXrLVN/pPCveND+Q/O1jFQZ5//1tunebDsMu/2jzV9n12/wntU9y61/c4sU/f4UfWvZ4V/GIys//AgeVB7n2r6+zfudVlsoR4YOrPKXN8tQrI147aOPX+8y+b8JPf/ASC3sP8G9/eYdrz97CGw/QjQGuuUXJHbA2P4N39sPsNy5hDAc4/T5L8YQPBDpn9w7w05Q/nW2yt3yRYcfFm6Skga7mxkw9xpi7wf4D/56wtsnjW2dZ3LuMV47Riik1llmILkBWYkjCQewTjgPCcUgPjb5lEAudto08UinIsPQUozaEmX2KxZCFtM5ieYVCc45BrDP0UuLAJxjssetf41me5Sg7wujB4vUya9sL1NMapdUZCh9cp/a+VWaaLssFWC4ZrNVdFsqWmtA53k8BY9rODbb0l+ixh5nZtKJzRP4Km/0Ku4cx2sDEjgw1Eb6fBOxGYzb9Hr1omyw5pKgPaBQcSs01yq01HLuAO7BxejZRX2evnbLTiTkaBQwnISM/IDUinEqGXdLRHBvdMjENl5ItgDxhrSjQfsIDtT4lPaa8X6DfqfKvPnZIY9lk1RQp6oRUIP3EZ3HSwd8a8MzvH/GAVmfl8cuU5hvoCyaDSZvo+j7RF3fRyyuk71ojmunjtPpobsooybhzE174tOTDFVFuVNS9axg4FQF4Gk035kxxxHJhyJI7YsEaUNY9FW2ZGC4Tewa9skC1UMPybYbdJgdbC/Q2i2RWiGHexLz5PIWtCUEcs5UO2MyGhFqGrpsYVhHLrLNwZo6F9TrzqxWKZZtU12knGbuSJz2BTpypSL4oTBh7AZNJpCbtJYpPTGTJ0yRESyMV7SpQsWBGuHqIm9jYUQXDL4NfJ5lITuv82C3WdWbWHGbPlli6UGL+rEmtZVIuuZTLEoWifd1zhEifa0ECE4me9ohHPuP9HoOtmN6mwdGOxdGhowCeEn0oprTmY2YWE2ZWoLGio4vEsHBlU1dONUESMQg9BqHPMAoYxiH90KcbhCr3djzO0DsxVi/GGYTEYcKBXmDTqXJbLxFrBktWypOlmPdVE+ZOvvIpCEpGFOVgQ/220lZwRM5NAsRy8LHpWVwPytyKa/QooKUps3Gb9XCLs/5NbJkElIcu22XUWmBr8TxbsytMbJdCELK2t8f61i5z7SGmwH+R9haY56QYhQSjmGAUBMJodMcm22OLI08j8GP1uhIplSyhKOdiXaSIHeXY4Vo2rlPAdVzVNqwyqSb4qERilAhw8RKLUaDj+SGZ+u1diqWMYiWlWEtwKiGFekyxmVBohFBISI2U1MpkiKA7BppjYBYlv7itgLZp2xTcsoL6liHXF0MFpss5X87lcZzR6aXsHYYctCO6fegN4PAwoH0UqZzpmUTLZ3I+hVYpo1mCZiGhaceqtEopzWKKYtGOhF1bGEUXs1JAL9poRYdIT8kciRy177k+TSYTvIMEfytjdDticCukf9MnHOaOkoVZi9pZh+o5h/K6SeGMhl01Tq5Pcs2LAh+vOyDclzx/A4L9Q8KjDmFvRHdH42C7zuFenSgyKTVCFh8Ys3glpDyb5BLspkMcO4Qjg9gXKU2bxqV5mg8vkPgat//wOe586kX8/QGVMy3WfuJRzvzYI7kayqlrbvdmT0H6G5++jeEYXP6Z81z5m5cpzhS+bfcRQRBytDmmeyegvx2fRNv3dvPrvxwyTsGktuBSW3Aoz5pU5kway0VmzpSozjvquJXvIp9txD7JYIzXHRH0fbxhnr9eUqlYAumzI6x4D310Hc2TSZT82NcMG60yS+I2yAqz6IUFNpNZnj5o8NXtAjd3RUVCJ/U15SxUcxKWyz4XjT5nkj6zkpu17xMPQsJ+QDKMSCYxmZeQ+glZeJybNVdokFz1cvaUVDIhKaGuEVk6iW2ilyzsmo3bdKjOOLSWyzRWqlh1F7tcILM0laah2KxQbFUUaBeHi7e6N/LHE1KRaM90CGNSPyKa+ATDMakfK+em1AvVayb9ES+9/DKZbfDE+99DoVZGLzqkpkYqWiaGj2aERNmEMOjjj3t4kz6xPyYMx4SBT5jphOIAmOlEmkNsVonMCpFZxsdV54ZYd4mNAgE2YWYxCTOiSUQympCOPdLhiHTkEQ+H6OMJpu+rYngepjfBmHjTyEk5px7naZVdmUPrpNkkWl0hWV8lW1/FqJdVRHbBsZSDgDgESO5mQ8twTYOiqKkohwAdI0vVOokYL7n2tF9TqiXzJZNGyfmW7mFFsk4UDvq7HdpHe2z3bnPtcJOruwNutlOOJiZhbJIkLmnikkRFlXrh2GSiT0e+t4FlJrhGQsHOVMqMkq1RsQ3KIhVvmzRExrpcpum4VAsWrp4QHnTxdnr4213Gu11iLSbUIrS6nIequKs17MUi5nwBGiZJUdLEKEFOgsQnTALGvijc+Ko/ykLlxCn9cRRTTGcxJy38owqdLYetOxN8cRQFlhfrCthLkQj75YWSUrD5eueIcRCxcThg62jERsfj5oGv5PK32j5tkctXEfdTZyi1fw3mqiZnWg4X5w0eXvA53zhk3tlAC7fUddcwy9ilsyd562OaZJmGJfvYkPzHueqL541UbRqiaiCSg/l9ThR6KiJc/Bc18YYQlakkJI5EKSXGMmUs5qox0i/KUppmYQqcFJUqUf4RRxdxDjRsBS0lElccWpJEU06DhuFgOdPXayaR3FalOqblYqm/k99L9Ho9nnrqM+hazA997P3YpqSiGONPOgqu6wgk9HIIH4+IwoECjDlgzf+GYpDyOUYJy5bI5wpZXGDShtATJ7OiUgsyXVsBcVHPkUuo3EPa6jvmsD1W6RYyDMPGcYt5ZLtmqXsZuY+XY+Cd8kz4TnrO7Y19bh/02e55tMcx270JWx0pYwYTAe4yfnXqRYulepHFmkvRymW1DcMkVRHlGUPfZ2fYY38y4mAy4nAyIhH1M01nxi0zV6wwX67SLJQxNF3dp0qe3nw/6yd/xw8j2qOAo1FIcmq2rGzrzFddlholFhslFmoF5ioODTfvr1dK31f7Sc4BtinXKJE+95iMu3zl6T/H1AIeefiCUlaSYzIRJYJwSJZOVMqdY5PfU65vAvKPj0vNLJFp4r5VwLTFUbORg3yjTJTmx+b94+kHc5vk+hR1XsHb/TJJ+1my3svq2qTZkjruUbTGIxgzj1OcuXhy7n+7b9P3cj/1+30+85nPqPYnPvGJk8/4Rrbp+LvL/cbEG6u2Zcs1fqr2liaMgzHDpIunDxmkHeUIIFLwneCAfnLEiB6TZJT/nanqR8mo0rTnToB9mToVrUHdmmWusKRgvsDP12+TyKILZO/5bYZRD18bq3IM3vthh1Hcx2PEJBuqPomCP1HFVOd4DVcvqO/gZEXW7MtcqbyXi6XHVHT899vx9L0ce9/KNgWJx362yU58gzvBdQXuD4KcfxTMsoL1a+4lVuwLzLNKzZhR3/Evs01BFKjArcCcMIg79JMOvaBNLzpinPVVGSRdhnFXOS6IMpY4C1wuPc7FwqOsuw8qH7Zvx36S4/Wzn/3sPcfr23E/fT+Ovfvb9PbfJq99pCC9cdBGO462P2znSqO6jjE/h7GypKA9i/NErQbYFo5hoousvigqS+pQz5eNwJHfRR4E45g4CFTRJHhOtl9U2+W5T75LGKp+UwJE44T+0RH/7//u/8k/3rj2zoXz71T7pV/6Jf7BP/gHqv1X/+pf5Td/8zff9HUC53/xF39RRdgLzD/2prh58ya/8Ru/wb/5N//mRMLxn/7Tf8p/+p/+p9/0d/lmvMXkO3/kIx9RYF7Kgw8+yKc+9ak33JyJZP+f/dmfqfbP/uzPnrx/e3ubp59+Wh1wP/7jP37Sf/36da5evUqj0eCjH/3oSf+LL77IjRs3WFpa4j3vec9Jvzgz7OzscP78ea5cuXLSLxceURZ4+OGHlbLAsf3RH/2ROpmIA8RplYHf/u3fVrVsU7PZPDm53N+mN26TRPH+4ov/lC/2XuBHtHfxyPVLfOY3Ps8TCwlPxC+zf+lB9I99kq3OwxjPX+cj45cxj7Y5rJjsPPwQr2Xz/NEXb3IwGmAtDrl0Dn5y7WO88IUSz33xGt3dOwQCAwr7VAtDnjgzQ+vRH8c7e4H2V58hORQJ7iqPj3UePNzHM3Rebs2zUSvSP1dQMvXBtoPWLqH5IkU7ZrJwi6h6yPKoyvsPyqzpm4yLA/qtGm75IXSWIRHRZYjSCNcPWBhMCMKQoyxh30oYNepExQb9MGZi9mlb20wkOmBcwPKqVAo1Sq0qmUTDS774VFPyuTK5fGtwk37Wxww0ql2LSt/E1TSKZ0qY56roq00ckb21NMpmSNUI8I7uUGbE4w9foFopQdmj717ngKtobsR87Qwz8WWq0QVuHoy5sd/GtkuU4xpZbDBJErYnI3ZEKjXqMwheRQtvUDN9avYKxcIlnIUz2I6LmeiU+wWyfYPwCLKJjkwV3x4N2RhM2AsmpFaCbmoqt7lTNCi4Jpbu8P6zQ354ccCVJKRy5PIXJZMvXR5QSzUunmkwNiSSHMyxjzMc8JXdgNk/2eRKfYnK+TO4lSLdgvz9ELvnw+fvMEOVwvsvsVk8xFnJcBoGoZaSZiU6V4tsXReIrFPY0yi3ddx5iz39gO3RPm6hTGtmgdQbUvD3oXOLatpmpeBRtSIM3aJQmcNwW4zGTW6/dpbe9iLjUOPIamN0XuJCr48tnuHFhFu2jxcGpEdDjEmCnhlomU5tpsqZ802W18osLlaVdLEApE4acpiEbHcO0LSQixfOULBTRME2Cfr0DreouBqPPngOR4/QspRO+4DOwS5FO2W+USILx6ThmIO9jIP9Cp3+HJ3+Iu3uHH7kqkniYnnM4nrApSdnWXtylealNf78K1fp9npvOEd8+g/+CG0ccuXcJep2kXToq3K4vavW1+p17FqJrGjSHcPGzi0KlYQzK8sEIv3pjTkajWgPB0zkhgnJhR0RpxlZpJGGAmos3NDCHsY4o5h4knCUGBxh07aLtHWHvuAtPVNg9/1LNj/9+CJnGjYyS3/z9i0Oex3mFhdZv3hOctWQGhpf+MKX6PW7XLp4mbW1NbI0I01Sfu33P8szmxp74wbbbZMo1DCNlHn7gA9UX+ZvzrxCXbyv9UUy5rneNrlqrvBKcZ5dzcaNYx7r9Xn06IjzHFGa0zCaGeasTVBM2O/0yTKHtdZFwr2M/vUR+690GI1ku3VMARyuTsXVyWKfQKCYRL/ajvp+iURLTiTaOc4jNzNNwU+VYy0WGVtx/BC52XxCWF4TpCahUSF16iQC6vQyEUXGiU0q3uQiby9wRYsp6AFmOsY1AmquRHGFFIxQwQeJ4JU7PLNo0TMdDq0i+5rDERY9zcV3K4wlYYFhEKcxQRxQL2acW23QrOnMtHQ8bw9vvMX581UefXiFOBwRjccMBn28IKBQrrG0tIopEX2pzqvPXSUeeSzUW1SsAlkQnVxbJB1HpVWn2JRIbAsck2dfeZFEz7j82EOUG1VFPuT3+uqfvUi8bzFrrDLZzhhtpASjRP2+ditm4aEi5dWE8pkYiiGj0UBFHTebjXyw6zoTz6fX7yvJutlSk73nAza/HLP9fEI0jqnYfWbcXRr2tpLZ1+ox2dICSfk89lyFwpxOcU7HN336foSbzhFdHbH92VfJ4pTxrIb12Awf+D/9KGfWVk+Os9/4ld+k94UxxnVRadE5+yOrXPjZNb702he+Y/cRzz79PC9/9RZlfZbFxln6uz693YCbV3fo7XrKMaRUEoliKM/YjNI2uD7nH1nm8uNrCuTXF12e+vM/UdD3XHUFDkN61w8YbXXo77XVg0bBNjBEetefEI/HjLo9tDTGMU5D34wwyeiX6hwuXeJ29Sx77gLjrEoSWJgS5axnzFsTzrlD5tJ9TH+TZtPhgUcfUs4lArY2N7Y42D2kWWtyfvWcAvapn3Lntdv09vtYaRk9dBi1fYJ+wEgcjlIByKJEoyNp2e2CTpSM0d2YuYUysy0XqyBCFBk3b19HjxLmmi2sVMshvOdzdNBW2yH3S8cPjvKwJ2BPbGZmBk3XVQoZP4nod3sK4jer9ZPXyz3WeDxW9wC1mjhYiUODzjgKGMcBxVqZudVldMcEM2Zvb5PxuEOpZFMqynlsTBJO6HXaBEMfIogDjdBPCfwUfyIqEXK/LmRTVyAyr+WTLOVIJmooCTax5uCnBqHkFncqhLJsuES6RZQGWEkHNxti+kcY4Vjx+8gtEDaaaCsrBHPzhOUykyRmHMdkto1VqRAb4kygMwojvDjGtE2KpZJSBJHz2cTzCNNYXcsePb/IerPAWsOlfeNFnKDHE4/+5e9hZax9/Ec+RmxEDIMBG3tbfPaLX2YYRJw5f5neyKM3Dtlr99k76BPEhgI3nifOlgahZxH6SkvmZFJBHFBEASJJYrUtaiKfXIo8iUV2Ws7lkpRGALTcLcr5XOoEwxIFovy6IDL3URJJNhLKJYHr4iBlYBg63d4eaWEbe6ZNsT7ALg2o23UG2zGm12SxcgWvXaG9YRKMNfr9Ho2azQ999PE8wn69hW36vPjCs9/wOeKZZ5/nKy9dh1ITqiu8sjPi1r7Ha5sdjkayfVYeXU2uwCDXlIXiiIeWEx5Z8jhX22Ot7pH6B0q+ulKp3DMp0m7nx02tVscS4i6/SJrS7eQR+c3mDIaZR3BL2oGDw44C7mvrEqkoqVcsRuMJu7t7CtivrS5PJd3FSazLYNBRDiANdZ3IJ8FH4zG+52E7DtXKXTn+wXBIGAS4hYL67fOoc4t2u6sie8V1ptFsYkyP16NOlyi2aLSWKVfnppG4ZZ559hWSzObhR96Lm9bwDsWJccjT//6LpF2fpcoswcGIoDtW19v+qXOEKWksmiUiK6M96eI0Sjz2gXfjNkqqvT864ubeBq2VeT72wx9/xz8Tfq2x993cJvnsgRdxY6/D7/zJ5zjyUpor59kfhex0J3SGnpqYFru4usRSo8hyo0gxCxjs3WaxVuDnPvkJypL/5ZvYpiCOeLVzwL/74ud4dm+TjpGhubZy7LjUnMPpjZlJDT7x2JM8+dCVN2zTE0+8G7c2o1Ja7A08fv/f/zndIKU8s0Q/gH1JzRLFHHU7CkQvzDVpVGwqBQNdC2i3N9HNmEsPngUjVM/oe70O7fYRTafAux98mNliWRW/0+PozjarrVl+6od/9GTe5+009iQQ5Dhg5XT/3bHn8GM/+tETFYutjVe4s3GNatnk4vnFXNkiHtE92sYbH+G6xhvOEeI8XCzP0ppdw1AR+FVevrZJfxixfu4K6+ceziG/bv7AHk/frm1S18+ww8bNr3Ln9jWK5RmeePIjuRKCUeLqS69+T7fpx37k41jeLRVZP9z8C7obX1LP5XMrlzHn8nz1R8kCT7945/t6P32r2/SFL3yB/f39N3zud3ObgtRXUeqv7b7EV175IpHrs/rQkorOFpi/3d+gPTrAtEzqtfpJDvRsaDDuT9BLGW7dOsmPPhwOlEN0oeBSLdcUaC8bVbq7Q5gYrM2fZW3+vOor6VVe+NJL4Bu879EPcn750knk/ttpP30/jr1v1zb963/3v9Oxdpm7UqNj7qgo+254SKfTxU2LvPvMhzhXeogzzkUq3gzP/Plz6n0//skfYxB3lfPIzb3XeO76V4idgDOXFxkkHdW/29+iPdrHODX25LKbjDTSoUarOM/llYeoGg2qRpOd6/vsdDaJF0YMKvtKgUEcjq2jKrXBAu9f/WE+cvHHTiT5v9X9dHpfvVP20/fj2Lu/TW//bcrCkD/+336dQn/Iw80Z3N6AdHefNAjU93/9vJE45Mqz+/Ez4WmHgKEEUuh6/rtI0ItpMAlE/W6M5brMLS6oOfGx7/PLv/qr/FevPvdthfP3E3l8HXvqqaf4r//r/1q15+bm+J//5//5LV8r4P4XfuEX3gDQZQD+3M/9HL/7u7+rwL14jvwX/8V/wc/8zM+cyM7ft/v27bSC4fB3ij9BuufzmfILlD7R5JNzn+B3/+kfs22f5YeffQaHjA/+g0f4zMKD/Iurl7jQ/SpXbn+Jd335Kh99cMzf+b8+whd9g//pt5/i2aciXrC+zBPvmuE/+E8eY/v6kzz7hRdpb73K4XCbT18d0bj5G3xIoojOvZv2oxf5+GzKAy98ia4L48k8jw6PeP/hNulrEJoOGwtVnnlXwmutgJHnYG02sfab9EKDPzIsDO88jmfSGBxwgQPOGjdpWhbjaotxrUVSqnNUmleT3k4UcX44Yakzxm1v4deqdGaWGJsrxOUj+LHXOLzwOUaTiNLeLO7GDEG7iXbmHN65Fv1xk8f8y4x3j7i9d4vXjA12yglWWMPuldC/lKJ9+QitIJGnJpmEoZoWGXmqiH/7BclDKTkPRaZ3njSr4RQjys2YUr2Nae+rKNjxQGM00LELFmtnK6zPV5h3qpwtVIndGeLyedppRCcZ0w5uc7v3DN7hv6RWr1AvX2SuegX9gQVCkdrNLOyJzaPtIj/Sn6W4kxHtx3hFg9t6yLP+Iduex1CP+YN9m9/LWlycCfnJlTEfcIcsXjV4wdB5Zvv/z95/B9uW3fd94GfndPK5+d6XQ/frhEYkKSSBJCjalEYec+wpu1xSlUqiXLZKnhpNjapM+i9LU7ZqytZU2f5jZM2ULNnkUJRkBUoUCVEkGECigQa6G41OL7+b7z35nJ3D1G/tc1+/RiJANEAAfKuxsNbe57xzz9lx7fVNCR9onse9MebISYmrgCcuNjj+i9v8xhvH/MjvfZbGxhWsXpOqCrnwo89zfHmL4dGQ9Lc+z/w338SoDC7/6fdjf6hJsjOlf32Ef7miiLqY8VPEE4PGmxUXfs8ln/bwnnV45k/ewL/mopnawxvz2pUrPHXlAsnJA5Kjuxy89GnW/Ptc+sg+mrnN0YNLHN27xKC1RdGfceVcwbNviBXelPKKw+z9FrMVk765RXkIB795i8PP3+eVF/b5sgZrl1tcvNFj60KT600HbWNDTc57AoIKWFrm5KXDwluh0gqsoaif6zulVjqUuk8mNuXrV5WtKYaJ2TnGWhnyRKfJuS2PMjtiNix480szju5ZnO6t8a+/lFH9f28ReK+w2j9mZSMmvXeP2dWLaEafqnC4fiyW+Q7G7VPitk/p6RR9OC1Tcrck3kmYVwvuzWbciSbc9gaczGOmr71CWJTL6JeKbCquBR69xjZJHBAdJ1j3RnA4xwpFxd0g9AOiTodSJjjNkm7X44eePc8PbXhcWfcoZrssTu6yvd3lyQ8+UVuji0XwYJ9oVKDnMebolGI2Q1vM2bj1Br3JlMXBKb+QvMpvnTZ5fRIwW6wom+K+EfPD9iEf8w/5SHlCFRmUow7GnY8zdl1e6nR4sdvibkdyt3Pe5y74D/pDntvWyZsGX35twu7E4z3n3k/41oDJ509Y3D5hMS6psgWv6C8xFLCsTFmQogkwbmt0PZ9Mg1las0eFnWmZFp7YysqJa0Jkx0p1KSxO15GromALFeF8oQB6S65FugBCNeFA7LHlNDdj46Gdv6SnuSIf1j1Kq0tldcjNNqHWIEG+QwtiAT50Ct1UBJFEL4ksAQRtElOjENcPLaFdzGkXp1ws9mjnsarNNKaRRjWwKTZOhuSZ6uSlOD4I6GRx6N0hMzUST2fsxMyDkqw75LONe8zNipmuMclzYgvKxphSmCimhi/222lOQ9PpHMa0jk5ootOoNGwhOAD3/s1blLIdqZhqJYM8ZepFRM4bzJ7WmD5TkU40rAcl3VOXjVdNnN8yMHSb0jeYtRPYKbjx4yu0L7pKwXtysMf92THrPZ+rP/ReNj5s8N7/TOOlF1/hlV/dpbp3gdO7T3I4TWhVM5xbd2i8chfL/Tyx3WRP28Zcb9O+XtC9ITEDe5jP2my87yLRsOTVX3mL0194lc9++oTJn/0QF37yOZrn+5htg5U/1eKH/8sf4fQzY177pbd461fuMNemGIHOb/727xN0feymRa5ljB/M0T2dB2v7OE0bu2kTzxKq/JvntZquEAlgY8viAx/cfLj+hRdm7O3O2Or32WhfZHKQKND+5d8fMNqDL98e8eovTCjijDxKSWYTjHzBy9Z9XF0y6xMCV9wTpnhehdZpKFcGI1ghWN9BKxaUnsa1994gaFuYVkySDNh78CWuWAuevHSCHr9KlU45SUy+OGvzcvosD8pnOJj1eBBuQbaDYT5Ht0x5buHx3Bo8d8VgZXNGeHeiSGmrV3rk04R8EnI8i3CLET0np+82yMYLstGCkzsHDDKbhdtnZrY4KGwWpU2eOAQCzLxaECRzxUgWpXdZ9ql8neFag+a6T3PDo7VqkYxuofVMLnziw3ithgLhZ3HI0Rc/T2UZvPen/z0VsSDXQ3lYOnrxRXVuP/exP0kymBKfTrj9yusMXn0DV2zW+xvE4xnpZMHx7kCBjOb4iLsP7pGGMXmSkkS1mlqU3pKTKNcBBbYrDLKhlMGmKaxxUeNayCWiKk0M01XKW1HlyoOeKH6UhbIp5iCFqpZbUOkRlreg1ctw2w5Ox0b3DY5OZ0Qjm6Z9lcXwGtPjhPHhKdHslGJ0jHZ7VzmyOH4TO2ihOw6dfpeLl7ZwLHFXyJmcnjIbTjAMS5Hi0kocDnQGUcS+ZjBqtRm+fJdfDRqcuq4iehWaxsYrt3hi7YSLKz6XNpocDzJa7rfG5a4V4C4dr8uKv0a76jHp1sDbn/3xb/yAL8D5K2+8xBe+/AUMT2Pn6hVOJ3OG85A37zxgNJrRbnTZ3ryAIYQHzeZg94j5NGSlv8bm+jn00iSbZdx55RbRaUQTHyPRCA9C8qxkEUbqtwarHfyVNmYrwGx53F6sMhq+H2fSUe4nITG5P2KSvkbh7XJqv4y3Pca8NsPLfYp9yOZdXhgM+NQrHvqiS5FoWHqsVPW58ZrKr790vp4A+VpFXA7WAoOtrYAPfvDtSQgZGz3Y3aO1sY7R3uLVBzPeOJjzhdf32ZvZ3HzN4Z98qQ/sLK25IzpuxoU1h+vbTa5teDxzrsn++HOKyPCBJ3+YbndFAeJi7//Z27+BUBl+4kN/6h0TMXdv1RMxz19+ez8t9vbYv1nvp+cvvz0RM7x5k9sP6omY6099rM5iL3OOv/wydw9vsbGxwoXLTykgXxS4e6++zGBxxHZ7nY2t7WV+e8bi5EvMQiHqXKBz8RlMpbBt8OKnPk04WfCUcw194rA4HLPYH3PntyKK4ZABv6bujQ/dNfIFRtcleKLL1g9fJ9hokwc6X/jSS5TzlPc/9wEF2Es9vntA9cYpyW2ZuP0cyURcLKqHBJ6JZTHb+QJur6FU95N8wSyZc3puxr2Bo4B8BfJPxIHgj7fWQchX87Tk/jDiOB8wiTLGYcq/uZswjCv+96OXOQ1FZSmuDQXDUULT1ni+nXBptcVHrq3TNHL23voSfVfnP/zpT3zFNWIP1zUfAvNfryjHnqIizsUKv+J4kipnrLbW42nnAl3HV8edvbLCm4NT3hqc8tt3RwzjmP/17m+z9utfYivosRkIISdVx+zL+X1avQGVlpFrCQP7hMxJaa2VBFpFL445mYakxog8MzjQptwfGaRH4twEcShnmcHn9k/VeDKwDQK7TZ7oDHU4mA6Iin2iQuJXEtIsxjT2+dmXb9J2HbqehyaKpihiexLxUmGy1miw1gjUGGkSl0zjnDARhbuOsVS1fqfKoyqmRxVQbxdNZdJLRRLe7IJJmqJXXZpbb0/W7oVf4tb+Lbb8NS5ee7IG84s5B19+kUlygNtqKHJQnhxTLm7R0u8TBCnm/HWGb/1y/ZcMny13SmJYVJMT5qaMWVpKpe8aQ/LKpSq/ti3/H7ci26FITqji1+i7b+A7EcObX6ZQjP8CM4rY8BeYusn4dg1uSQnClIutArfoMrn/+jK+oIFbHtKwFhiFSx6v1vEFss/f5SKuLNbq86rGG3+WN8NP4Wf32TnfVLn1iwf/Bi2JubrQKJx15i9+CaOxjRFsK9K7Vr4zdu6PWzkDJATI+Nrn63e+iApebOIzE07jEBeXP7X6CKCT3OTlWy9h93SefOqqAuwFzH9t9gpH+QHr1RZP955TQHvD6HBndI/x6ZwbF57mvZff/3Du/dN3Ps1oMuLpnae52nt7LHWSx8opqal3v2uW+o/Lu1fsymMjvcxHg7fBxKP5Hv/49s8ztPYpqpzfnPxT5dCQ5xnxak6upfzb23/n4WckaULYDAlo42YVLbOrbPI359cZTCesBht8/Jkfo2l0aRhtXnv1NW4NbrHlbPHBtUfAxOoFvGiNK/oVnr74tLLll2iEf3P6L3gz+Cx3k8/zL+/8HS67T6mYhFNjhs/XH/9/vSJOyH9U5+vj8rh8PxXNtgl7HVWrj34Ur9dTkZ7R7j53/8W/VE6tKx/6EE7gK2FZEoa89dIXlbvuuT/1EwrTERB+fHzMKy+/jO37fPLf+Uk11yrl4BHCwYUl4WCwu8v//ef+b+/+b3msnP/6RXaCMEqEtSEKBGFqSJb8t1P+5t/8m/zcz/2c6v+Nv/E3+Nmf/dnvmK393//7f5/Nzc3HtvZ/zH/TZxdf5u8c/1POuWv8e8cf4Z/8rV+h5xb82eZtek9cpfczf4U3TwJ+5TNiS13yo51Dntl9Fe4eoW90KT96g4Nzbf7BC1/k0797xOKBxVqjxVObl6iSdZLZjJsPfofd229hhiVtN+FPXHC59PyPcGf7fVwIEm7c/hzbt19Rk113U51padENtlkvfPS4ZODmfPbJkpdvJNzrzggPY/QTn+b+dZoP3oOxEPu7FEOPadohF4yUa1VI10kJGg7TZpvEayl7dEkwVfnfcUQ7E7uSJrnfxLBKvNUR0dNf5tb1VyiqjPXTDZ6Ib7DTfJZjr80bRxn7owotKYlH9/nC3X/Fy3u/TjU36E7PsTI5h7toKfvrjYt9dm5s4l7vMXNdjhYFx6FYepeUmTzEFnhFgZ2nFMaY0BoT6jFZpsPco5x4FHOLUKzHnYp236bXdJbVw5MZfFHqUjDMR5zmNznNXuC4ehmj6+N0ztPrXqcTPEmlBUr1K66Dvchhbdagd9Kgf9Dk5fSUX724T8N2OD4pCJOSzjjnE40ZHzg3xXYKXhk6vHC/gTbvEJxPMc5PaYvIrmdR2PDRz9+nuTun3NpWltDtdkzr/ZcZxKXKhjePQqzXBmS/f5d4NER7Xxs+sYJ+zqcydIrYI4nPkcUrdE9s+r+nY++C4es0nvPxnrVxnrCxfeurzqcimmIcvg67r1CeHlFUDQaHlzm4fZnFvE9wzmd1J8a8+SXC1/Yo+wbaxztYH1mj1V+n6a2QHmUc/svbHP/WfU5uHjOJZkROiiN2y00bv+3RWWvR6jfwWx6eb+OKfa5tYSigRyY1llltho7h2eiOheZalKaurJklf1xsmjVZ71hkRU4+C9HmEfHBgN2Xh+zeLNjftTg+tSgLsRqO2Vw5YWPlgPX1+3S3xlSdBll3h6G3wj2jxZ204v58wf3FnLFY7Wg6vuWw6bZxqxZ66ZNEJuNZyckko5RJ4sMF3rwgC0sWpcXcdmulWMPl/EaDp57ocX3b53y75Fwro1/FaLsx6Z056Z2IdDehjDJIC7GpqK3TZQJdLHIVIlUPG05MnVc9l99zm7yiNVX+uUxM+mXJRSPkQ9qEHzWGbNkphmsopZLmOYSBwyu9Hl/werwplpauxXPbHs97Gs8kIcbulMVrh0S3T0n3piqbWlkQFRmJkRJbBRMyTl2He36TRafP5tVN3vv+HT7wvnX8QMAwA8cRsKy2vBXlnFwPlR2tYz98kE+zrL5mW/U1+2y9OHLI/lbXcrHwUyHImgLt00VEpQDThPB0wvRgxGjvhMXJhGQiNuQLxpOCk4XDKPWYVG0Wep9C62IXFlZpEIjSWa4TpY4l564oO7UKUzJPnSFBY4LrjzHcmEKiH4QcoOyDDYQxUhUCEmpqd1TLapT1NcBQfbAK4R/U+aoyWavsf+XHnY36BKgzdQXqi9I2FytyUdyadSv234Yt9z4D2zFxbUMpnDzfxPcMbNdUimP5UDkqIg1CSyN2dBaVzvzYIN7XyQ90tFOxqtRIrZLxesbJWsLxWspkNUO81eU/seR2DR1PrLltk2bu4L9hYH9ZR9+H1kWN65sl3S9OMbWYqg9H9wtmuxlBf8HaE2MaFyvM9Sa6L7b2JYuDOaM3J8z3IxrbfbZ/6v1sfeI9Sh0t91xxSrjzGw84fOWYdJ5RRCXZPCOdpcTThGQZ9XCm4lSbraqUOs50DLy2qwB7AfNNz8BqmDgtB7/j4bRqMF93NLI0U+pycfTI44IiKUjCRGV7R7tDov0B0eFIAcjpZEa2iATtIC/EIUUIHkHd4pFpHrnmkmuipl1a2SvL3hxL1VQM1rFJcIwU18iwLDmWNeET1dWosDwLyzOxfF3dHw1b3pfiuBmplbPnObyh97iZnWM/WydKGgpMN4oSp0joFwN2kj2uhXe4Pr8t30wBqUZgYAYWZtNeVge9YWE0Jbs+wOk1MYVI0PCYZA4Drc9MX2WUtxg9CJnenzF9MCE9XFCdRrjTCH8aoeeFOn4tvUJrWhgdC7NjYrfA9EvsIMdvyrU6Ip2GRJMZ8WROKlnu4qW9LLLvZL9LNW0Hw5KcYLnvWOr80rCgMClyQ4GsmQzTNLkXODXYLlViKXxD7V+34+B1POyGpQgcmgt2YOF1PXUcyLFhS8SKWai+jOvKaUQm8Q6nI8KTIfl4RjWTGIOIbByRTeWPJtjtFK+XYrcW2I05RpARTg3CscXkUOfwdsZgN2ZyHBPNU5VlLsp8sQi2vS7N9T7NzYDGukdzs0GwFhCsBFgtGyvooMc51SQkG85ZDGbcPZlzb5axF1fsFToHtsPArMe+su1X9YpzjsaOb3Cx7bDTtthZDWhtdnFX2lj9JppvPxyrfi+Oy5Vd9emM07f2md8fEu6PWTwYMr8/IBmH6r1yiYx0m4nXYuq3GVkBA1xOC4dM3EyMQsXteO0JeuOYorFL3riP3RxR6BPMvIERdsnHLaKTJkbUw81WObe2QqtR35fOngXk1qL+ZlXWedhCvlpia2p9WarferYd6/VvO7tEWcXRPOMkLDmZF0wzmOcyDtYlGEHtOfm8wK7o+gbrLUtZ5V9ec7m26rLadmgEHrYt20eUvmpvYVsGzWaAtXQaEEV7bWv/7uwnWS9ONkWSUyxjKBZHk1rtfjJTAHx4KLE+Q3U+KHcbsS93LYKtLvZKgL/ZprXTp7ndJ9js4K41yZfK/T/MsSfEGzkGFsdjwtMp6TiiXKTEwwXJcEE4mBEPZiTjiGKRvOOaIjEszZ0erfMrNM73ae70sdcb+Fsd3Jb/PfNM+Oh+kt87PxyRFzluO8BriYNLffCJu81QopWyGnQXoH0SppxOQ0ZhwiwumCWFWifL07AeM8lk1tlnmLpGyzWU7fv5foNz/YZSwosCvu/p6jnnD/pNYVJwOIo4HIYMZjnTWONkKt8j5Xgif1eckmQfyDivIlfnUj1eVyOLR4BqNY5fxoU8KqSQ9WmRk5QZsZA884Qwj9UgSa6pRVF/PxlDCRHEkPNXtqOKCzGUQr4h6m/XUJb7qy2P1aZY3Xv0AxvXlDFDqcZy8yRjsEjYHy0YSHxVWZFXGmlekuYF0yhhmiQqBiPKC+WAFWeleqbICmlrd6c6BkW+Yv2dBFCV80ms+6UVS05Xvp9j0XBNmq6lxlWuiVrf8C21Thx3ZFnictT7XRtfRaYYWBKDURXqdzYlykmsQS0dSRIwKJULznfzWi7nTaEiLiIMIspsRplPSSKJvpihVaGKwpB14uwh7iBn+003PHSrhWY0KCVWS3exnABDyLqGSyVONqU4Zbl4fgdNl3GBQ1Ga5DL2+D6aN5L4gSI5Jo2OSMMDivQErRhRZqPaoFyeZfUA3V7FCTYxnXUMZ5VK71JU4ioYYRpZHSFSLMiSCXk6E8s+9CpekigW5Km4l9XbRrZxXTQqzVXRIhIRpkhWRkORJYpSxsPbOMH2O21qv83rXpnOSI5eJDl9lSo8QIuPKBd7VFn49rXA7WG1zinAXm9sU7nrVM46VmsHRxxr/gj20/fa2Ojxb3r8m76ff5N812F+xJ3wdfai23h6wIq3QdPs0jZ6eDQxcuthdOB34jfJWOq4fMCd7FXeil7mdvwqUb7A0T0ue0/zhP881/3n2bIvkcTJH8v99Pg3Pf5NPwi/afcHIXP+0SIbS/JvPvOZz3B4eKiyTQWsFjD5rMhGO9uJj+7c70a5c+cOH/nIR5SaU/7+P/yH/1Ap47/dcnx8rNTystk/+clPvsO65N0ojx4ov/iLv8jq6qrqCzj/vve97139W4/L90+5E+2pHHqZHPhz+b/Dp/7b30RLIv6PK3usrgb0/9P/C0V3g999ueRzr5X4rsYn14+5+OYrlG/sofWbmD/6HMl7t/mlB7/PP/v0TU4+6+FOuqyaa3j2Gnan4NXRLxN/cUQlrrxWyod2DD70Q+/l1Y0PkfoNnjGOuXH0Ku6Lv8vg9IQDI8O8fIHnP/Rh1tw+i9dP2D084LNrYz79xBEvr90hqha0T26w+fJ/SLW/qqy4rczEyW08zUIS63rmgmvGgAvuDPGPHnRa5FaLwrTIqoqJlpJIKq5u0sp0rs5DPHvKcOeUw6fuEl85YXu4wxP5Dba6T3PkBtw8rdgdFERRzGh4i7ce/AZ7Jy9QhgnudJXguI917OEI0aDncuX6Cu9//jLbz15h0HbZtzX2JTtIpGpA09bZame0ereoGq+RWodYmsNm9QTeZIv8fpP7+wvenB5zK5oxXVhoYRMzb9N0PfoNyYuVCaWKRR5ysjjkKL7HabnLrDnEXWnS37hIp3uJVIfEipVSz5uabLy6xqutnJ1eg6JKOa1y/GMH877Ok70hz124y0oDDhcWr7zS4Ytvtjhxc7IgIzc0DE9n0yn58Dxho5+xuuagJzNWeye0n1ohDFaJNBtb91gx+jRPSvK7p4yGDzjdHJGfA3FlzUJYjFokkzVaxzErr8fYux560sVpr9B6rkXzvT7N53wF8HxlqeI5xe7LFHe+SHF6ynS4zcHtawyPNrA6PmvPmgTDO8Sfu0khKOWPtOBjHZyNNq1gjVawKlJ0wt89ZvF7J0zuDJmFCxZJyMLOCLWEeRYxDxdUKh5AU3bAKzs9epsdOustmr0GjbaHr7J6dZVtXJ3V6u1JwXoCpKxNdZ2KwoXC01RNDY3hQcnorZTD11Me3NJZRAUJGUn3hNPuKdP+kLQ/pG2VXPY8VrxNMLZZVH32Fh4PJpIXW1LMc4JpSjUvmEUa81Lg2ArBpc83Uq6vJDy7HXK9PeWCM8AVVvFxRXHSIB80yYdtimmggFrNzDG6E8zuDE2UuI4mmBSabEurYKprvEqLF7MVfn+0zsG0RTx3sEUd7xd84HLKTzxX8oEnXBotUXK2wGpxlAXcnujcHaXcPk14cz8iizIuRQuePjjm2s1drL0pRZQqpaoct6ldqErXxjrfwb+2xqTT4820xcuTgKnb4vKWz0dvBHz4SZ9e44/GCEgcMfaPcm7tZtzbz9g9yNk7KgjDqs44tSvavZJmp8AJEnQmFMmQeDxhMRLwcKFyvauJjjazsRYtnGQFJ28rBV+hLUi0AzL9gFLbx2CKXZXYVaFiHaxKlLgy0DWxLblGCOBRK6ekFXW/XtaW/XolluIygWthqYlcS9muGZILXIkluoZe6OgS25RraKoFLa+RuRpCr8GeOmtco9I1pViWajR9rJUW1kqggErb07AaOqYv7ACD+dRgcqgx2dOYHmjkMi42wF0He6fC3K5guyJyKxaUzCU7tiqZlAWD1wqyXzZIWgX3f2zOWqmzcbvk/Mzi8koXb24yvhvh9zS23lfSaB+RLkaUQhtouCoXPZlnTG6NFBjnGjlb791g7WNP419/Ent9OaiWyXuZ0JVWJsHLSinX42lKNqvB+rqfqn4ySxWor6qsO+svctUKAKw+Vh4yQslFDyX8GPKYKkugEEXXEkIzTAzbwvI9FWHhdpu4a2281RZ2z1cqTbsf4K40sBo2mqkTL0pmw/yhVf7sOGV6kjEbZOSpEMVqsphOsQTvMwwkmz3H1CQCRJYlx75U7hDivV7/7hIJ2ZVWlwl6WyfueAz6TY46PU4kPsZokOSiShNFeUVgpazYc3bsCdesE64bp9iGxJRk6HqOLn9bcsGRvL4UHXEgiEmjgjSpFDkwFwUWLllhq9zZLNVZiNpZro/TnHKaQ6yhZSZmbmDm0pqYlUGlGVS6TiGEE9cgDwxK26IyTLW+kl9a6RSlgJ+G2t7yoCWvyMSy45u4TWtJ2LLxOzaNrkNjxcHrebg9D3+1bp2ugy6ElnlKLseDOAfMpJ+QCaFjtmyX69Xran1KIcSnr1GMwMJqOpitmtAg+y05mJOc1mpeVSQ/ftXGXbNwVgycPji9CqdXUhpTTm7tsfuFAw6/fML0aE6RVpiWg2UHaLQo846Kjak/S8db8WnudGme36J5aZvmVkBjQ6qP1xMSQcj0eMrt3Ql3j+fcGUTcn2U8iAqGmUSmFGhFwWqWsJlKjdkuMzYdjbZW0tRr1ZaQeMTRQMhtqn+2TiIXlq+9va6uD9/7NdaZLR+736yvN9L2xOr8q8cM32pJpxGL/ZECaFWdhKSTaLm8UO3pOONwXHKUmgzxFGg/1DzxbKEwczQnxQ1G6K0TytYeWeMeundKbiyw8wZ+3qdR9GgUXfyyQ6OQ5Q5W5ar7sBo/LHf3w0d01dTr61UP3/BoQynXK5WXXpBmhbLePklgkGlMS5M5JqG4O4jzz7JYhcSCpPhlRqOSmtPSc3y1796pwLV0TQF8gSUkQQNXWexreIauxqe2gJby3eQaUtTXHomPyeKMVKIpkox82SZpSVpCvLwaZBUEZU5DKLYdH1Oue2st/I02za0u7XM9+uf79NZadAOHlmdhyjHxdYqK8MhkAqYgSXMcIXw13r25hCLLSUahUuDHg7k6bmZC8ngwUG0yrDN2pbj9Bo1zfZrneqpt7PSUk4u/3nqozHi3iyKhDBfEJ1PC4ynRyYxItVPmR1OGeyNmx1PiNCdVRLAKudUnlkFsGMSmQeaY5I5Fbtdt5Vl4LSGeeQQdn0Y3oNULaPcadLo+vcCh7Vt0fFtVOVa+URzfIi44nQnQnnEySd/uK/A9UwB8KCTRZZHxR6dhstqyWWlZrCyt4wUktkxNqcYFUJZqmjq2Kf16nWksX1frZPmR15frHv2uUZZyezxQeZQNIWZhkaZaTUqIcuXy8LAfvd1Oo5z5cnkei6vaV0+zyfcQMF+AbrXdH563dV9aldP+cGdKQMeSGCivlyWpnOPLmkktS+WmJOC9nP8S71PK+KymZC6vEZKUW//Os7Gc/L+c5to7qiaX2prUqYidco+sX5PD9ex9Mvb07ZpMKVXIFp5lqFaAfs+SVlfbsCYh1Q4LiiAnv0nGuGJEUz66LM9O4DsGK02LlZZNr2HRV32LXtMicGp3nG907AtJT4HI2VSB9QLeq6qW51RlTFkkqpWqsmi+TtF0ewnW16C+gPa6at2Hy9LqD/vilCXfUYi9hpp7qONBJMLjkf7S8eMPU9RvzOfk6bFSw+fJkQLkpS+/c/nN0a0uprOK4aypetYXssK3W+rtLOO4Gqw/A+3V9l1GF4gTwlmMQVWE6mDWrTZ247qqVnDlXfkuX/O7pROK+R7lfI9iIXW/7s/3lGPUWdGc9hK031KtqO71ZSs5999KpOjj8rg8Lo/LWcmrnN3kpgLq34pe4k78GlkpEYcBV91nVV691A37wuPrzOPyuHwflR8ocP6Xf/mX+at/9a9y9+7dd6x/5ZVXeOqppx4ui4X8X/krf4VGo6FAcsnk/G4U+VuimJeseLlQSpb8n/tzf+5d+3yxxz85OVG/VdT536kD5Rd+4RdYX19X/cfg/OMyymb8Px/8A+7E+/w55yd55b97lfH+Kf+HnSHn3Jjun/uLuE8+zTgy+befL3jjXsXmisZPnBux8sWXKb50D63pY37iWZIPXeDfFp/nn7z8Eoe/61J+YZNq2MIQZvTaAn/zDarfjtm7PVRAwLOrGh+72mNjtUvpN9B8l76TYx/eJn/rdbIwpmwGrHzk/Wx/4iMYfov87oB7L73E/2Z8ln916RZjL6ZTrXH14H0MD3ocjlOc0VUak/MEaRM7NjAEDDMKGmZC11jgOAWpa5H7lmJSyWSM2JiPnYyFqHmrmJ3FjHNxgWunLDaHhFfHbPQ9nrSfYrt/g33P5dZJyb0TUYgsmC3us3v4e0znX6bn2LjDFWa3K2Y3cxG6gV/S2Ta5uNXh6f4G5zvnMdc3OOnaHAQGB4aI8nTMYEJ/9S281k1sb6QmNASs77JBp9qixGFcxezmh0xnMYt9l5Nba4yGbarMo21a9ETlpB6OCwazBcdiK7yYMmZG5hR0Vjo46w0qNyMbhhwbPle7PZWbe5qHXDjJ6d0P+IJuYXRP+InruzzXTdBTjeqlPrtvrnEryHnr4px9UWgNdawD6Jkm772osdnTOdhf8OrLh5AvaHYMGqsuvU2fnQtdbly6wPXVizRdg/vRa+xFr5MJ7FZANPOYH7TRXzwi+L3X0e6NMWhjVH2cxgqtJ3dY/fgl1n/qslIofi2gPn/wEuXtlwh3E/ZvXef4/nkq3WXlWYuOOyH/7BsqY1t7vk35sQZc8vC9Nu1gjYbfh6gifTAnvT8jvSftnGwvpIxzFnHEXI9ZOAkzPWYudqbhgvl4oRh3MnskIIGANQJmBOsB7fUGndUWrZUmQctHD1w0Rxh8DsogvDLYny24Nx5xZ3TK3eEp98YD4ijDGPp0xz3aow76iUcZSv55Rm5PGFszZs6MqZtj2RqV4bAofJLMEHEITpmxwZgrwYCnVoa899yQK725ytetYo981CUfdCkGbfJhiyqXCSLJbw8xNxaYGyHmVkTmRuy9FnJ8K1JqoUxzOM08jmKX+3GL3WyFESuEelupctbdhBuNkCetKVuiqMgrxpXLsRFwbAUcOgHHbkAqk1MVtKOErcmc86dDrj04IMhiBcDnDQ1rq4lzsUfjxgatq5u0d9Zobq3yYKbzW68t+J3XQ0aLgvW2yUefCvjIkwE7/W9sb/oHFZVJnEVUqeRG17XKEwWeCmhIGlOmEafTCYPJiMPRgrsnPofzDidhj+GixSQSwotOJaCEE2MGIUYQozcSlbeeuSWJblIYDo5l1ZOVpoFnmkoh/uiytC3HpuVYWLOS9M2C6M2KxV2IjvQaZNVidGuo4hPybJ+ymlJWGWUhudKassX22zJp3qTRbiglnBs4tSuFYyigVQDXPE6Jo5wozIhDse5OVZtGOWmc1kBKnCoQRcBpcQrQkhw9KZUq3xC1f6VjqrbutwqTpgBMps3c9zjp9ThY2+Jo5QK6ZePrhbLGbgbQ9MEX0fykQD8pKQ5zqoVYv1Z4PWhulrTWC1pbFW6znhCOJvDb/6xiJlmkf7rg5sqCl46mHJ3G2CHslC6bqUf/xOR6r80P/QcX2PnEKmWcsLi7R7h3n2gwIJHfFuYk45jw3hDtdIQ+mZJPhWBTT5qWwhpQMJOuAN16ErKeGH/YF6Cs/Or19QT6csJ5OekuIL2A6bpMWPcCZbUsQE3r0iqtaxt0n9rB2xHbff9deUCX77AYZYzuzxjcWzDcDRnvRQwfhIz3Y8JxrkAzBb5rJW5Q4Pq5qradYOoRRrUANYldqGOvPAPc8rovvynUTQ6DDQ78HQbOBnOjR1rVY3WNAqea0IiP6E0fsHp6i+7wCFPywh/5ng8RR5kcl+uqmvhXng91fvxyQlvXLXTTQbdEAedhOj6mG6C5DWInIBEwPyspBPGTYzXOlZWZAhTOoAj5fKllpe6dQl5Rm/sP2ObqM86q5LYv+woIWgI7Z33bN/G6Dpa4BrQcrJZTOwgI6N4QZxUdw9XQXB3DFoSjkrl7db0v0owySZWS2Gp4NC/v4PS7pMcR8eGceH/+SLsgPphThG+D/YaoNDcD3I0GRtskjCZMh0cM9+4zPj5Uimi/16K51qOYz0iG49riO9RIQps8F8s3B82UyBlxBHBxey5+38fve3jSrvoEKz5Vw+Y4yjmYpuydRuyPI/amKVPZ/gpMEkUnNCXXXRS0OrT0SrVNraJNJXQBOpQ0KjnjFDqzJInU++khSUYQnEeOP4lQEGLc2/tHU+eOgPUKtO83sc+Ae+kvW8N/F8FZAZjPgPvRnP29kPv7MQ+OEvYGOQeTiqOFKGILUrHV1RbY9im6dwDBA7LmXSpvD03YUALg5g7tuEU7bi7but+JWwSpr86Hd6tIsvthaXKAxbFmcarbDA2HsWWpiJVSYlaI8ZjgmCMcc4DpnKj7Tyl2SplNIVE/pUNR2JSlLFtKGVlWtmhqKTVbqTBL7e1aifW0kEMEoBIXIjUm1zHEilvILpqmAEXTqDC0pWOPuBDlYk2cY5RyTtfXLbm+CiXPkn0vHA9Rb4qCXc5pdT2pFEFN1Nsy9hegsdf2uHi+x/ntDhd2pHbZ2Wor4P7dLtkieQjUz3eH7+iXaX0NlPtBsN2lKYD9ud6yrft2423Vxte0bp/FNei+BNwf9iUOQ0D307mK44izoq5ohJ7NxDIZmAZx4JI0XEX4UmQHCekoSoKyVK5fTlZgZzlWkmMkGVqcKXKyOBl9rSL705LPa7pYDQcz8Ah9Tx1bo1yeQTXGGW/XXCNWeOjbZJSWUdHWS9pnrV7SMcSSvqSjFzTlzvyok1VVYQgxsePjtH3stofdkr4Q3KQu+y3vO0aC+EZF7v+L5KuB+7M2yUV9LkB4TR4wz/qyQcRtJ8nRVJtRyhgsTqmWVfZFJTVKKRdxvSytODqomK6KlJJMnLyaLmnDJvYtIs9g4RjMbI25CVNTY6qXTCUmSdyZSnFkErcmaXW00lDEBLHll6gQeY5h+Z6HZM1KW4LuqAgB6dfuBMtjQ85TIfJYtZpfqoDv8txbg/qi8DfVusA21fkqxIbBLGUwy9T2erQ4pv5VoH2/Ke5zQtio10n9RuSdR0t9LEncQlSDzQLYF3UtH10uH1n3yLL8m7IQgP9btc/XvgKwt9BkkkIB91KN5TrzIdivnKqSAUV6rP52/TEGht1/B/hu2gLGr6KdkfG+R2z1s/Au6fxNVYVMID/I8i9gLcF60936roBUorYvF/sKqFcAvoD3SxC/isVhoC6aFTwE6832Fcz+M5jdJ9X46PulfD314OPyuDwu390i4pN78RtLsP5l7savUVSFstG/6j2r6hXnGZplX+XYPz5fH5fH5Xuz/MCA8//z//w/85f/8l9+qAZYWVnh9PRUDcS+EpwX5bwo6cfjMX/v7/09/pP/5D/5jn8/+S5iXf/lL39ZLf8P/8P/wH/+n//n7+rfEDW7/J3vNDgvtvZnB8pjcP5xkZKWGf/vg3/Cp8df4Kf8P0H8d6fcfPkOP3kp48nigVI3Wls72BcvM25e4HcHF7iXb/DkJZNPnJvif/ZlihdvK9tS82PPkP7IJX5Tf5l/Pfl9Dj9voX36KocvumrSobmt8+9/ss8rn/oiL71wVwkEZfKs5ejsdByur3jc6Opcbec09Rh9foodx9hiGeg4WCs9jA2xRl8nSQv+weC3+IX+qwyCnKa1wUaxA8OYu4sh1dEqdvwU5uw9tAebODMTo9CwtELZ+tp6SmZAZJgkpqEsm/WlcqjQKlIzJzUzCj3FJ6ddyNRijmZmOB6srwVcXOlgr/hEjsVpBtN4wWy+x3D8Era+yw9fv0Q73eDuSyNuf+aIyUlIbCSU5xO0cznn1ltcyVa4mK3Rt7apGj0O+hZvCAAcFKyth5zvD+h0B1TNYxI7VKoy12hg0VZaw1EVk2HiVy0Yn+f2ns+to5IqqmgVGisUBKVOkebEScXJNOb2ccidgY3t+PiYHIai3tXwHJNSbE6ziveFJbuuySteRbM35yefPeGHV+d0kopqLyC7ucMsC7j78TGnVyOYJXTueWxUazhmKtpwbt2a85kXTzgc54SiYpQHcVFcyASMKCBaFhu9Jr2NAGt9jtOY0gxyZbfo0GF9HrB265DslXuMX9klOhhThgWGE9B99gqbP/EUax+7QfPy9ldNsimg/t4XSF5/jcNXOhzcukQSBbTPZaxeqtBevUd2MEO/GMCf7JI+bWJYtfV5UQog98htUGaXTku0wxLtALQD6RcwlveoQGSSdkXUyInMjFCyUtOY2emc6f5EAQfqY6iIs4wwF2vKlCiTNnuoonEMAWdtPLNWL4tleZzWeZyTQmPmrjJ3V1j4baaORyqKQbHfKVJWkikb2pzzjYJLK7C97mIHrpogzyc22cgiHxtkI7GMVToFKrEObxnoLR2jrWM2dHRTU6BbPJ6SjubkcaRAUMmtjouck7TiuDQ4qjwmuYlewjUt5EYx43oyUySTgyDgoBmw32hw2AxIxUpIg3aeshmHbGYRm2XEZhXjicTeNTD6Pq2nt2hf36K1s4bbab5jMuZglPHbry34rddC9kcZLU/nw08GfOypgKsbb1vSv+MYKAuK013SB29BupCZF7QiQytTmclCybSlLdIaiM/PVMvvLKI+CrOceVYyLDT2I5ubkwvcHV/kZLatlPKOkbHdCdlqjtkKRuwEAza9UwI9XQJ4tcWjgHgKMDizk9eNekLHklqDX6hqo1luvV7eeabgWYKV0iaRzskDnyOp9xuMjjw1Qe24Mb3VIZ3uCY3GHoZ2QrKIiRcJWSR2wZLnKx+mqWMsyUzi3CSuXBKk+qSGR6L7JHqD1GqA16TyWzitOuYh6LgEYn3c8QgaYo0qMaKidYzJi4i8SMiyCG0wRbs9IH5xn+KtAdZRhpXrlFpF1DSI+g3Cfo84WKGoeuROh1wXhbNN3rQoBYCdVRjDAvMowxhLzndF6euU6wb2JVjfygk/vWBxP+e5j8ETHxSOTclhlHPzaMGXxnPeLFL2RK0ZaVy0Az7w3k1+5CM73Fjr0vfFurggnU0ZvHqH8Zv3KOR4EGBdLI2X9sXJYE46WJCOQvJ5jGaa6r4kVXdcDNfD8HwMp7Y4121RvRt1K8uOLMu/MZUNc+vKuqqimJT1f9gi16r54YDJg6O63j9kfjxSEQvKdSKS/b7sxxJ+/rWH+GLTm2YOSSzgWkCaeaSpS5Z75LmoxEx0RSbQsWwBydX8bw1Mi6JW1PRq3aOtWMdCqumcaB6n+IxwmYoSXu1JuSdnNPSUrhmzZidsujlbOzbnLgasXGqzeqWN2/IUGi5/Q87jcn4K4SnV4phqfky1OKWcHatapaLEqoucQ3pzDb2xitZcU8fX5169RW76/Ikf/Xfwu+v1ebe8fgiAEIt6Ny6Iw4IkzkmEtJEUSs2fxKLoL9TrWZyTLZclimBxNCYaLxBK2VCzGGgWoWmSGZrKMRcr4FYZ0SykLmimCxrZjGYe0iqlRjjCrPomium7tC7v0LxyjtaVcwqwD85vKPtzOR5Evf8QrF+C98lZ/1iuhfUxIPemwhSFZUgUTyjdgtIrKF2J9phSxmPycEa+CKlNHUxyAV9zk6IwKEQpnz9yPAkgagsooC9bQ8XeYOrkeh11IW8XJahkQCtlp2prZehX/U4hNyxBKiF/nS0LqCO26rZlKqWpRM243RZBt4XXCHA9F9uwsAWgEKePRUo+nJOeTslntc3dWRFw/gyor0F7AfAbNai/BPPfLYKMFCHmHA0zHhwm3NuPuHt3wf3DhIOhjAWUaTadTkK7M8dtDdAbe2TeXUblA4bJ6cPxgowRVr111v0t1v111rxN1n2pW6z5m7imWyNgX/n3y4JZNmGSjJmkI8bxiEk6ZpI82o6YphO1LMOXcNFgNmuxWLSIwy5JtEISdShyAXlq9yZNIeC1h4pu5OhGiq5naHqqqn7mlqHWiUVgjqbJWFHuuRllJQBvfX2SXECdUjm7pLMmVbKKrW9SFV2qsklZ+spyevkH1T3WNSocs64Sc2Fq4vAh982CoiqJ5RovAOHSaUGuTUImSucCaKYUUmNx8tAUKaDV9lhZa7C23mJzo8W5rQ7bG01lCS6gYWPZntVvFvT7WkXO2fBownwJ1M/uD5b9gVK3nxXJuBd7fLlnSD8eLB4C8fI+IYeclVLTKJquAtxnjsXANDnUNI51nSRwFAjfW2lyfrXBhb7UoG5XAlret5ZpKsSsbB4rcoC06SxmOoq4fRhy7zTm/jDlwTRnN6xU5IIQKeTQbGhLoH0JugsA3xUQ3pD1lQLmhUihbOi1R1pp1E2Gr1qW81TGOInkvU8i0om4XTziNHJWNHHxcd4J4HfqvlrXegTIXwL9pv/VY01FSktz9YylXCGkfUf/7XUPWyG2PfLes38rfeUiIdtRxmvLbSmtHJtfsyx/x0MSRFATIaymq8gcdd/DChwVZZUvEuLhXDk7vLNdkIfvzOEWoojZ8dE7LmXLpmhYpE2TJDAIfU3S2Jg6FRO7YBiHvPXgHklZ0Ox2vgo8kM1fZDoWNiY2ulilFyaVxMVITECmkWUgQ5Q0E1V+HRWgIgN0nZZr0xbnBasG7kWhj5Ak5d+WNfcgzSDJKqKkUnFti6hUt7p67F233cBirW0roF7cFgTAl76A+G3fVLUlZDoZ47wrpMiiBuurrI4Bq2T8LUSJupXXBcBXffW6xJNky/bR931FX15X768d2gy7h6mU8EtFvN2vgfzvs1Kko4dAfba4SSXPbUaA3ayBeju4qrLtv9tF7PCLxYEC6h+q7mcPKCY31WsyCDY7VzF7T2P2n1at7q9/zypfxe73zKn1J37iJ95h4/u4PC6Pyx9dEeKuAPRvRi+p3Pr7yRvKGn80HOGWDZ7Yepq+u0HXXKFjrtA2V+iaq3TMVVpGV907H5fH5XH57pcfCHD+5s2bPP3008qq/hOf+IQCvp988sna8vBrgPNSfuZnfkYB+gLM/y//y//yHf1+k8mEH/3RH+XFF19Uy//Nf/Pf8Nf/+l9/V//Go7b2P/7jP86v/dqvvauf/xicf1z+oCLH3j8f/Bb/69Gv8Lx3nXP/tM0X/s2rfPRPXuOHbzRxBvuk9++QHx7W6rvC5oF+nlHzEtvPX+I971nDeu2A4rNvKStS48M3yD96jd+yXuVTyWcYneZo/+oZvvQvTZKJxvqqx5/5U+sY2oBXv3iHm28cMDyeK+AEUSmKorTZptPrsSFZmNohT6Vv8qSVsuFK9reNJfm0bZ/EhX/iv84vdW8xN0TBvUnZXBWdOMVwTDoaYsxK/PIGRfpjBMMbOMcudm7QtQouiv19MqSVxCx0i6Ogy9hvqL6IvRZVyaDKGJAyrcRyU2YYdJXdbMhDfyXzzrmy6rVcUb87GG0XTazK9YiT+IQwm9EJLM7RwLw/JXzjiPR4RqHlJNsVs3Mx+U6B26jYqZp0BgWb5gr++hMM/Q6padHIKq7GUzbtQ8zWKfPtIbP1IYWTkTsFpW4RSz60buNlPfzRU4xmm7wyh70kpEHGthvSyRfYY5sHi5vc9Hfpnv+TnE/W+b3bM0aLHD92WIxLnAONy6OKcQG39YqxJPI5FR+5PuZjVyb03Jzx2ObO7R4n+z3yCynl9QVOU/7WiKtuk63GCo5p47gurdQnESvc23e4df+Q/aOQ8bhgnujEmkNo+MRug6LpoTUNdKdWSDqWSb/V5HK/y5pn4A8n+K/cx335LdzDWxhuhbsRsPLD1+k+e5Xes9doXTuP/kjmjAD12Vuf4/h3Tth7aYPZQPI+MzaenODOFsSvTDB6DuYn1rGf62NvtjA8R1n9GmIrrUsVK8J3TtaUYlX9YEF2f0H2IKzb3YUCK6Z6yu5KwoPVhHvGhL35kOFsRiHZyIbOeqPFdqvD+XaPjWYXKpe9WcKt4YI3ThYchxVhYWKZLpUuE6WiKjGVZef1TZ+rmx7bjkVT1NQHKcP7ohpMMascs8gwltUsJVO9xHJKLF/DDsD0wPbAkMxpXZTXtd1+IQBeJFnuMuFTUQpRQROfC41YJsEEuF/qYgRTl1x0+U/UqQssxobJ3LQIHQuzYdNueqx0fdY3WuysNggCUVCL4uObe3AQVfzvvi6A/IKbhymerfGhaz4fuxHwzHlXqYmKJCU6HhIfnZLs3aI4ukc13kUPjzGLiVLYyYAmK3XySq/b0iBb9rPKIBUAoDIUWBhpFsemw4HhsWe67BoOJ7oQEzycxRrNRR8j6mCJIbQ/od0+puAOph2xurqCaYuS11TKP7FUlu9oGRW2XldHr7C0Elsrlm2pWrMqsKir7ENL9uNyX9bAvoAJQiBaVmVTL62hJi9FB7wILU5225zsdhjud5ieSp6jhmanON0Z3soMpzfFaoQ4WoJRxFhljCu1ShS4blcpVpWoSUCVbVwsFdFLO/e80EhynTg3iDO9roWubJFVNSxiOQYsl8h2mLUDxpsrdK9vc3G1x47hsPnGiNaLRxivnFLcnarJ4kz8M/yM2MvR1+RY6RBULbzYp2F1cGwfa9ODjQZzw2UaGpzeK5ns5SQNg+Elj4P9BPu1Ke5liyf/XZcLzZxVMyFIYrJhzHwSM0py7ua5AusfGAXDloGx6XNlrcuTKx2e6Ld5QkhXccpi/1T598sEaFlklJnkai6VUKVYvyfo1RwtH6EXAslGipyg2x66t4rmr6J7K3VfWn9V2Zt+O5bJ090lAP/giPH9upV1Z6CM4Vi0z63TWO9jeQ6mVNeu+67zcJ3lfvVrZ30hFpxd5+R+Lzb94TDk9Pacwd05s4FsD8lQt7HlfueYijNSihuAKOXE+l76qvL28vI1qSKUH0cV9yYaBwuN09hgltWT7GKJ7sQpTp7iVzlNcvpdjZVtl/XzHjvnfdbPu7Q3XLpbLvZXuKhUyZxydvIQrFd1fkI1OyabHDI8OVLv6/V69bOG6aB5bVV11XaW/Q6a5MzKOreNLn3LVdec6c37jF+7w+T1O4xfv0Myqu1QvdUeZsNTBA3Nsohtj7kZMNFcpprHVHMYlw6T0mJSWIyFIXiWx6xrChDoBzorTSGvmfTbFmtdm7Wuw0rfpZGFJPf2mN/ZZXrrAbNbDwgPT9XflutO89KWAuwFrFeg/aVt9V3esX2EcHIcfpXaXvrh/SllUhMExEY/uNzGv9TBP+fjdse4/j1YvE4+ulM7Grg9Mvc6UXGJMN5gMdSZH86ZHSxYHC9YHM7JVO60umPWwKu4C8hYyTUxPQNT+uLg4eqktk5kaSRCnNQ1Ir0iEuBSCFJlRZgXhOLuoGgdtUpWnBA8A7woxJ5OsWczzMkEPU2XubegOxZGr4vZ72D3OljNBpbvY9o2tmlj5iXGNITpAm08RxsvsIoCqyxVTIgk6rS3urg7fdydFdxzdets9xRx7d0oQgoRwP7uXszd/YS7+zF3DxLSrCZmybFwftOi248JOmOs5iGxucfRYo+j8ICj+T6pkM2WpeP2WA+26Eo8VDZjLKB7PGKmMoHf+ZjvWT5tp1tXt0vX6alWljvLdWeve6antqt8xtE4USCYqFuFJCHHr7RfCUgIISApEvX9kiJWbSzxFV9nOclj5knI6WTAy2+9yKKa4q5YJOXbxJuydAk4j1NuYxTrkPXJkhZR5DNbWOT52zbXoqpd7zistizagWRo67i2hmkt44aQjO+c6Tzh4HDK0fGM0+M54+Gc6TBUzioSSSPnqlzzBPC0m8u24dRKbUN/G6x3TaX2PVMEn1l6f60qSmHJ7xYFcW35/c7XxQ2iVtkPmUl7f8Bsd0A6DnH7Tej4hL7D2DY51g0O0LibFZzUSLUar211fM6v1OD7xZVAZb2f7wVqTPntFiE07Q1ibh9F3D2u653jiONJraaXMdBO3+XimselNU+1F1ZdRc79dggN30o5cxU4i6Q4A+zTaR1VoWIq5LVp9LAv45KvLDJ2FwC8BuRrgF3FvXyLRTlE2KYCv2sSn5D5jBoMl/vwGaj+SCskJ3mPpuK1FHNJPYDK2F1Idw9JeLHUVLnPpYuIbBEt25g8inHaTbwVIbw1cNoBTjPAbTdwWgGW59YuJblGGYmTUPgQuD8D8SWaQda/8wdpWC2Xk/lQGPfsXDyvvl+hQ6ZV5FpJqlVkWik0HBIhwEuLuDcUJFXdxlVBWOXqNTVeR8brmhqjS/hNZFnMA5tYrrky7i31GqAX1f6Zwr8Uhf+ZOb/EN8n75DVjWfX6vYWhXqvUv5dxtRyrb7tqyPnc8AwF1vcCUd076vlrteWwtgT1mwLke+8+oP/dLuJscObiMA1zJmHdqn4k8UP1Obzdc9juuyoy7LvxO4W4kIX3aqB+/iZ5fKD2qeltP7TAN72dP1ISgnp2nt4lH7xKPvgS+fDLFPNd9Zru9h4C9artXEcz3p3xwrdbHoPz3/9FObNlCxXHILWUsV02r2M03L46/nSnh2Z87zhlPC7feonLkDcmL/HrL/xrImPG9pPrLLQJ4/yUUX6iLPHPilyr20ZfAfYC3NcAvgD3b7cC4H8/3qcel8fle738QIDzYlH/P/1P/xPPPPMMn/vc55TNtJRvBM4LwPzn//yfV//m5Zdf/o59N8m8lwHL7/zO76jln/3Zn+Vv/I2/8a7/HfnM/+q/+q9U/7/+r/9rfu7nfu5d/fzHtvaPyzdbXpy9zv9r9xfom20+8sJT/N4vvqgGf0998Bo/9BPPc+3pLcq9B6T37hDduc3Ry7eZHw7VQ21rrcnK1R3M0ETfT7H8LtaH30P+8Sf4be/1GqRP5+z9ow3m//Yy5bGtwDZ5HvAkh9gsKcuYcD5mdDIgmoXksQAjQne3lXWt6TXwipyntAEf76U8ac1xXA3/yhbFBzf4J70v8euLz+GNMy5Ha4zXuhy2DZI8pToZEY9OceYZm/k2ZvonSNIfguM1tMzCdSt23JCn0hHXZmNMsVm3A6btNZKgSWXJZEBFoucc6yF3mbFbxBzkhbJilLxbI7XQUgsj17EqyXk2MEXd5WrYVoFXzrCLCWhTwiJkejQjP0yoTmSKoiLsO0y3XSabDmXDpuXm+P6MINBY66zRaG5iG56ymrxWFrwns9jRU2bOMWPviEnrmNHKEbGXkroZVeFgzZpYty4ye3CV3bTD/aDE7cQ8W0VE4YgvFr+G/fwzPLF6gWic8/rUwTE6yh5981bEX/i8RU+Dl4wm/79eyufChcqrfs/akA+1BlwOcsLY4st3e7z85R7jSif3ZWakwLcifugJjRuXHNI85c3DU6ZpTEPyJ5suGysu3SDGCKeUhwvYPyZ6MGFwlHE8N0kvrlCc6xN7DWahxXTkEEYBieYqENTKDfqjhO7JkH50xEqxy6Y9o+VqdG5covvMVVU7T156CFCU0YzRp7/I7m/knN7pK2XV+pVDep1Tws/llLGA8Brmio+11cLabmFvNR/2Zf2jg1o5P/bnE26OTrg1OuHm8IS3Dg45nc4o4wIrgfNzn/Mzn/Npg8tpEy9zuVsVvKmlvFalvKkmqeSeZ2BWYl5p4MkAW4drTsUVr+BqUHAlyFnzCnS7UJnvSqkmZakeqrKzTGgdTSb7Age96SrVixBGxAVDcMVinlFMMrLTiPGbRxzfHnIyrjgpHI70gAMzYM9sEpsOpW0TNGy2t3zWdhw6G4Y6ByYHIeY0xY9TOnlOp8zVuRnYOb5d4Lk5QSCkAO2RKiCM5B1aYAl45SxbGywLzRRCjM4bRwUv3s957UAUnRoXezpPNxMu62OKwZBYVMGDPbTZAVY5wfNTPE/UeJJbaJKaLY6CFW61Vni50eNFr6nU2HUs75ldag0WCvCxiOsqIEOUlOotsosb2DTnffxJD2vWqi2rOzOclQFub6Ssvu2lxbLkfSqsqHwbyC6V1W71yDr57Bqcenj8nGV/PrpOOEoPE4Q1Stsgl6xXUZSL2k80hWL1W9X9YtmKjb6SKQuZxLKwS5vuoEnvpEHn2KcxcNRkZOFVLLYK5lsFs7WCsJmRWjm5TDItLcWtqsCvUhqV5A5LTQiqlGaR0ChSGnlMUCSqekWCXyQqo9gtE0UsUGGoQmTKcvQ0J5NtW5iMbJexHzBpN5mtdPE7K2xOPVZvF/ivhFgPYqo0I7YyxuWEmRURaSmWIROhXQK9jZ8GNNwujaBLdW6NYR4w3K2oDI28Z3D3ywvivsns42uMxPaTik0/44lWysZsRvtghDsLKe2SyCjJXRg1NO7bBXtVwZFWUjVc1tc6Sln/9FqPq72WskNWsRJxrBwl6lr3iyRWgL04L0iOuk6IXk7RstMlcB+jaYXKqqwB+xVFQqvl53LuL2Xomq5iBKaHM+W6MTlYtvtj5sfT5UGhKRVfe7tPa7tPe2eFzvlVFfvgr7ZrO1T5O077XR8jyPGczBIWpwsWp/U9WtT0wUpAsOrjdcQq+A/30B9GJXce5Lx8M+Wt+yl372UMTkWtXtvS63mGk6TY8xg/TWkgGdgVQceit+Wyfs5j+4JHf9uls+XS2XTx2u+cRJb4kWQ2pIomWEWElkwpozFVNFXrVD+U5TFVPFXREOm8ZHqYMZN6XLIYigeKOCDYtC6u0L66Ref6edpPXcVZ30JvChmj801NfgiwNZqLVa/kLOecTHPVH8xyTmXdNGcavRP8EW5Tw6nziQVk9I0CK5xjTMdowwGakA9OTnDyBI+M3nqb1YtrrF/bpHftnFLcW5Ij8XX2r4D0i7tjwjsTFnfqNtqbPVSeOusB/oUAbyXEaZ3g+Hex3Xv1pcdfw1h9CmPlhqqS2yrkjvnhgmggYFFGJjWU7SoAUv5w3aOvnS2XS2C6/m7LvPJcnHgKFibEtsbCgVAcfhsmZs/F6ruYPR+jIW9IKMOQajqnHI6phmMYT9BGY3Vtkjxjpeh0bLJmi7TdJms2SVstUr9B4gUkrk+u6TTSjH4csjKZ0Z/OWMlS1rOErbZDW4H2/XeA92a38W1PgMk96vA05c4ZWL9sx7OaQOE5Ohc2XS5uOaoKcG81TxnEBxwt9lUdxQMadusdQLsA96q/rM43acer7l9C2JJtJ2pfkasKWOI7GK7zrk/4faX1blzEnIZHnDyshxyHhw/XjePhw39b5A5OtYNTbWMV61TZCrkC7z0F3hdpTXQTQrEUAfPknBJArunVoJssS365QUm0iJmMFwxOZ5yeTjk+nlCK1Lcq8SVPvR/Q7Ab4bRe36WL4NqlkvC8t5JMzK/mz5fybA3XF4vztrG5xi6hB/KIseTBcMIuXZBoBwXu+At7PVPAXVxpqnVIZf5tF9v1wnivw/fZRyL3jWPXvncT1+EcIJE17CcC7dbvuca7vKqeL77ciriIKwJ+8E7zPZlHtvGAtnXFU+9VAe92eLcuYrAbXlauOxDUkcl0cMj8aMD88ZfDGPUZv3WdxNKoBdnG6kQihJCNPU3Vt5mFUzpLodBbzsbTzV45MZznwSi1eO0QosqjMq8n4URhwhqHitSpDjmwZIVXotq3IfQ/Js5qG0/QVaC8AvgD5Z4C+3fAxxPVJHNFE+J1WFFFGshCCb4KWl+RppvpCKhTSgHIFSIX8m1Fk9e+S11Rfrie59HN1fZe+/HvpF4WQAaWWaIY4sfgYnoe11sU6t4q22abseRRdm7zjkHVtkoZJTEWU5kTpV5x3WblsK1JxzshLtS5NdLLMIE91ilxcYQzVio2/kADEpp+yBvSFECDXC7Vtl7E2KnpA13Ac8OX+7Onq2tFp1OD+atuhG9iKjKMs/O1lfJV9RuSpW1m2xRnG1LGX8Tgq0mB5/1M1l75sp0fWybZLC/I0Z7bIaoB9Ifb/BZNYIhRKZnHBLCmZpyWztGKWlsxziPL6PqiOKZXNVFevKvGqnAKNsQSGLEmEtlaxZlWsWhXrDqxJ9TQ2PJ3ArUkmQk6uW/3tZTkX1LnzyOu2SfvyKt6qzGx841JkU7LFW6SzN0kXb1HJGM4Ql7hrDy3wDesP/pzvdCmTsQLp88GXyYevkg9foxLinG5idq69Q11v+Kt/NN/xsa3990xR1+9CrpHTR4D2d7Zfuy/j8j94HKHZzRqoV4B9/23g/uG6nlqnme+eQ9Tj8t05X+XYicr5Eqg/ZZyfqH7dDhgXp4yzE7JH4lVk3Ns2+0u1fQ3i98x1Nu0LqvpG84/sdz4uj8v3c9n9QQDnb9y4wZtvvsnf+Tt/h7/wF/7Cw/XfCJz/3d/9XT7ykY8ocFns7b8TRezz/8yf+TMPWYX/xX/xX/C3//bf/pY+4+7du4xGI9773vd+3ff8i3/xL/jpn/5p9fdc11VOAtvb23ynDpRf/MVfVBb6Uh6D84/L1yq7yTH/7f2/x6KI+Svd/xPhZ+f8/q99kf3bRzS7DT7wY8/xQ598D6vbffX+ydGEF37tNiev3mI9vsf58h6uDBonC/QQTLeL88wNjE/+CC88mfAr5ef47J03KV66wpOnH6dxfJE8rjCMjEYzw3XF7jLl+HjO7u6E4WDObCz22imleNaVBVpV63cF/O6ZOjtmxlV9xlUvpbhS8tsfH3Bz/Zi263ElXlGg+V4AQ1ssnTOq4xHh5Bh3mnF9sUonep64eJZwcQ3NaNFZcdnsJJzLR2zuDXAnKWVpMm32mDRXWNiBukZZYuVpVFRWxcxfcGxOuZNMuT3JlOJcjPBVTm7pYaUeWmJTZvJQXyp1oF1ldLSUbpXizOcUoymLwZgqCcn1hHzFIlrxmPQbTFZaYIt9coLmVviNBl5Dx/GmtJwhW0HChVbARqNDrynqpYi5fciJdZ+ZNaCUXEaxJj4+x+dfep5R3OBGs6SZRLw6/x0Ot6Y88ewHuGyeEGUlp9Emt2ebXM49/vT/PuRq5nFSNrhlbfDL5475oj9XOYPP9ha8n/vsWHO0wGBUBCxurXGSBpx2MqaTjHKS8PS2w1bH4XCQ89svJQynwsavHyrkWSAIMtqtgmazotmo6HgFvXKKnc4pyAm6Gt11C4HaBm+k7L5YcPhAZ+x2GDtdTnOfPJVXoWkXyiVgJTxmJRqzoYVcubLK+jOX6T5zjc5Tl7EaPtHukPv/+DYHn7fIY53+1hG9zSOC1gzHjRSQXSUVhVj557U6Q9QcqWmysDRGBhzrOWNHI3RFje7Q8xv0/QYrfpOVoImt25zMUg4GIbvHC94SRdG8YpzoTFKTaWqqbFTfqLjSqrjWKrnSKLjWLBChsBw/yxTVuhVnCZkQk1apQES1KjnzBkbHw7rSxtp0yYehsu3P9qaqTfenLPZm7E5Lbk5zHsQVe5XBoeUytT0K5UYRsHM+4KnrLZ67FFA5cGf3hJcfjDmZ1wP7bhmzWS7YKiO29ZgtPSUwxf5SwHWDKHOZLTzmC4fZ3CYMTZLYUOp81ylw3ZJ2r6DbLWh1ZH+XuH6prP5FpRFnCnrGrTL8IsIrYkytQNcrDFOqjA9kMrrOjRb799IJmHkBR47PW5rJ/SxHHmEc22HbbbNdNmnaQggoGWcxg0XIYC41Uq49QtvouxZbgYtfBZyetLm91+DeiYWhVVzfiHnPuQXPbM1o2kIYkpNbpMLLh2KZEHV9tKCB7jfRgiaa36iradaqrSQlni1YjGaEwynhaEI0mhKNZ0STGdF4zmSSMp1JFilECUqVnloeqe1SOA6VrVPaGrlrgKtRejqFa1E4JpkjpAST3FhmoZ+B/DJRW1YYRYqZ5ASnFsGpi3/q4449NdEoj3iaVUKQo/k5WpChNTP0RobRKrE6kvlu4yq1aRPLb2A44uggxIAluLVs1RYRgDqLMLKIxWzCfDzEi8YE4YTuYkRrMqCRTGmUCyyzUOSDTP02ndyyqTIHb27jDgz0uUmV25S+T2TqnIYhx4djsqigikoCrU1b69HunMPcvsEsbrGYwnSQQkfnA//lFsmmz93jgrtHJfePC2V9KsSZ/mTBufsnbIyntN2c7nmT5hMWBBVRnjPJc17PU25rBbumRqPf5Mm1Hk8LYL9a2+GfFbHFPwPsi4fgfUyRJLVtqVhzUmBoorafoeVjsumI+dGQ2ZEQtc5qRDyVc60ehgcdk+aaTUtVh+Zq3Toi5f0DiiEWmxsfwFx5TuWFv9tFjjMBWBcnC+Yni4dAvWSRB6sBfvcPD9SfFYli2TvM2TssuLOb89aDjAcHOYuwVBbzAhSSZ5hpghMm2NOERpTgKOWbhhcY9BVw77J53qOz5eE1xZ5fU9WwtDrberksSEO0e8D8zn1mt+4ze+Mt0uEITa5HfYf2hQ6tbZ/mhoXflhx7AfXHlNHkHZNkosYXK329tY7WXK2t9Zvry3atjqz4JkuaVw/B+slC3GZqMtF8WRcy4b4kGEmVfpKWFHGiqgJIolg5o+hlgVelBI5Gq+UqQLG71qS/2aUrytpVmysbktv7TkWt2ERH4vpztwbsF7cnhHfGpMPaIl6IUe5qgdub4baOcNpHeOsp7vY65uoNBdjr3StozleTFsSJQJwHksGYZHjWTlQNj8d1bvbJbAnWixW5WCDLVctCdxrolkul2UTzgtkoJV0UVHmh7g+2l+N4GW6jpLnu0D4X0DrXwlnpoLuOIjlluRCzUsJZzGI4ZXYwYHEs+b35Q44Rnkvm+YSOx8xyGeo2c3FXMm1VXd2kVZb0woTVrK4bFuxstGg+CtrviDNPVwET304ZTXPuHSzBeqW0j9k/SWvgrSzYbMF2o2DTT1i3Inp2Rkts5nPZhvk7q4BoaaacdzJR4C6Vt+KikyVJDaLJe5IaSFOqYQGKFAGtPuYNAc0MvXbl8MXNwlXAnoyzpLVbNbBnBi6m5ypnImklnsGQVpyKZJ0si4uH76LbNVFSinzPs+P4Ha0c41FCOl8Qj2ZMh0OOp/schUecxicMixEjJoy0CVNrwcyW/OhSRQuUlYsR9XCSNk7ZxdVWcK1VXHcNO1jDbqxj+F0ScYSpdHXeCZD3sFSQpLmqch2SbSQgZCoORjJa0ypWOzbnVgOubDd54mKHZ670uLjdwTTr+7QA9AIUCoj4KID4aD0DF5O8IHpkvTwDne+LCj7gYr/BZsd7V5Toyh0tKdgdJNw9qlXwZ4r4s5xvARdF/X553eP8qstGy6TnicV4znyeMFskzOYJ80W6bGVd+vC1JMnptD36XZ9e139H2+/49Hs+wdewkP9+KnI8LI5HzA4HNQB/NFTxM8r95s4Bi+NhfX0WApEcM6aBbVvYvoMpTh+WpVpR0hu2XfdlnK6cb+Tcqc81OY8kwkqdQ7ZdA6B2/e/P+jI+r4FRg3gwJtw7Jtw/ZrF3otp0tqDIS4q8QA88zFYTo+GjeQ6ajJ0ViA9pKO4DC+LpQiny/7DFkHNb4grE+WRJ+JH8jDJN1bYoZQAsYLxwFoVAI+PaRpdkKhFDI1Jx+MrF9l2eB2qHMVNAWi/A9Rs4jSbBRpfGTh9/o42/LrWFt9ZeLrfUdv3K4z5WkWN1PevPkoThImEURozChEmUMlkkjIdC1kmYTzLCRU6ykOibiiyVIYlGIe4DAurLE01lqHuNOFwt/7fkVMurZ8M92RZ1X722BMvrM0DDqIS2XWGIhb1U9UQoyyqkjEwziA2LRLLol+Xs38ofccX9jgJPKxWpUZ45pcpQMrCgoaq4f0jUoBD/DGyJ6xDyiZCbi4pRDINE4yiqOE6oa6YxzeUv1cB+QEm/yuhXKb0ypZendPOYTpagK2JBHfP2lSXY7rLynvOsvucCK8+fx1v5xgCRcoyIdh9a4EtfvoPhbDy0wLf8i98T1v4qYm16W6nrs6W6vlyICwDKWesMqLf6z6hxuxBsH5cfrFLlCfnoNbKTL6pj4Qxcr5KJ6ity91cWufYJ0dpuqlaz2w/7ut1WoPtX95uKCFJGA8pY6pBK2mSo+vW6AVU0qAkjj/45pbjvfQWQ/zaAr1ohlzud796Ge1zenTFdOV2C9o/WEwXoT/JThvkx5fIZtmV2HwL1m/ZFNuwLbNjncPTH7hqPy+PyAw/ONxoNZa3zwgsvvAMo/kbg/EsvvaQAb9M0Faj9nSgCmP/jf/yPVV9s7QWY/0YPiaL4v379+jvW/cZv/Iay6v+RH/kRBfQ///zzrK2tqYvk7du3+aVf+iVVzzb3dyLLXspjcP5x+VbLLA/573b/V15b3OE/Xv9J/kz/o+zdPuKzv/pFXvyNLykFyeWnz/PBT76H93z4Bo5nc3ha8akXCh4cljzRHvAjKw/wDt4i+ewXSN98iypL0ZoexrVL7F9t8Mv+XX6tsWBk2TxXfZgPRp/E3L/AZFhnw50/r3Plisa5cwLcJ3z5tUNeevkBr375kDffGDCb5BSxhlZo6HmJKdl0yvxbWN06bjtEf2af6QcOqTZKLm5u8+z6k2ilzVv5iOFiRDWYUu2fMB0e4YQZNyZ9zo2eg/BpDtILVJrHxorOM085XFvV8O6NKd6ckEWQGBYLsay1AkLLI7cEPDPVJEJpQ24XzJyIU+bsTSIOZikjvcTveThBkyK1yGKDNKmIo0IBwKX8nqrCjEvcJMcP51jTGWY0w0pDmmZKp2Ng9Vuk3TaTXpN9y2DUMMga4AZzKvsOhvUGmj5VkxprQZftdoe1bQ2nv6D0x5RaxMtvvIe9g3O8xynYmDXYn9/h97J/y5UPfYLzzYBA31dKuC8OLtE2XH76ZMG53zdIj5q8Pllj3uzxa0/e4XYro4o9PrTi8Wdau2j5PUoHRrZOOOowS3qE6wXZFNKDnLW+TtM1uDOf8eLhKbN5CrGGLqSF1MDBwqwsisQkDC1lc3w2QWFa0OpWbG4WbK0VrLUzmmJP+aU58Z0xp8cxxyOd08JnZDaYNHuEQaDyb8X6tptMWcumbOkxlzcDbtzY5Nr7L9O+fpXTz0fs/ush4ankGFZoZorbHmO3BtiNU7zgBMeeqigDUVJIRneUm4S5xby0VDsrLaaVzawwmRQm48JgLlVs3wudSIB0vc7Jvb5q8eS6w7V1l2ubHudWPWWff2a7KDmKZSbK45IyzqiSgiqp8yurOFfWw5XYakZ1K6/lg5Bsf0oyijmtTA4qiwPH447ucCcsOY5EVZGo/FXbLVjdafDk+3b4E+9d531XGqz2bd48ifjNF3b5/ZsjBuMYL15woxjzwUstLnoFjprczxT4cTaxXz6qpMvqiWq1fqmGkTaOdGYLl0XsM08Cplmbk2KFWdFUVvKi+hbF9XZjxMXeCRsrI9Y6Y7qtCbYt2bEGqdYmrvpEVZtZETAtXRIheOgZtlHimRVNmWjSQRJpxSJeTO1TrSA1SjKjpBK3ARWBbODpFr5hk+QNXh92eOWkyd7MQRIRbuxkPH8149krBb5Xq5tFZZllBblkl4saPM1JlToopgrnaGmEWaQYyga9UFaR8yhnMM8YhAWnmc5h4bNfBUyMJqkTkHkNMscjk+uHTNgbmuJfaGYlIgssSfkQIoJSZeeQpxhxiDGfY8QxdppipbUFeNM26fgOvaZHIwgIGg0sp6GIA4nhEMrxGZdMkopZAvMY9GGFtqjQ5xXGsuphhRFqEgOsCAhLqJ/CTsntlMJJyZ2EwsspGiVls1K18uS7G5RixSutadD1Lc6tNlUWdK4ZhHnFMCk4nYsFq5CSZqwNTujs79EZHdMMxzScBKevozcKPMkiFzAxzXBSmYQUm36d0rEpbJ+sshg+iDi9s2B+VJEuWgTBc+jtp5mcdClKnQs/2eYDf3WN5jmnVqKOSu4cldw7qgHf3TsJ1f05a28MWDme09k0ufZ/XuPJH/awk5DZ0YQwSpkqO/yM14qUO1qhMnufXO0+BOuv9dtKXf9oESAomc0YvHWfwZt3Gd7aZXh7n8m9wzr/Xe5btk3r3DrdS9v0Lu3QvrBB5/wGrZ01zKXjR62ME7VcsWzrfvVw3dvrZV053yc/+hzF6CaaxHOsPou5/gGM7rVapf+dAOoXAtSHCqzPokzlw58B9V7XU4qpd6PIPjwZlOwe5uweFOwe5NzZyzkdlyR5pVSchiFxDClFlGJHMfZcgPsMZyEEiVolqxSGcnwvr2OVqBOzOtJDWdyK2tERUMSuARKVVS1W2G8D+lJNlXkuCrcCU8/wrBjHiLD0OZY2xa4mmOUI24qw7VxVp+Xi9Dq4/R7uygrOyipGa70G8/3eNx398fVKlgvAdgbe14q5eVQw2BtyujtkeDhmfDJjPAxZ5BqxgNuWTyIW/5pGU0vZMRZsGwvOWRHbdkxDzINE7SaqS2lNIYXpFJOKbFKRDwuyYU42rO9HipBiJNjNGVZrhuFm5CFkiU2eGIoQV8TC5RFShIzchHQmVuSiNhW3JFvZceqGiSYqTXHBMEShKuQK6X/1NtIdE2vFo3JN0iwjDDNmo4jpaUQ8T6lyOT9ybEfcOCIsI8TxawDfcgoFgDm9NnZPYg0cStNUylK57gvBKg0TErGJnkcspgsW80Spo9MCEnGVkCgk0yGxHTLbJTNtLNPCqypaFXR1nRVT5/xqm53zPRrnVxVg72x2sdc7Kt/+0UiJfC620hOi0xHxYEIymBAJgUHIDOMZyWRGKoDVdE44TTgpfE70Nqdam1O9zUBvk2vmwyx4v4xoFAtFjGrkc4JiTpDP8bIpXpWov63+/jvyvZU0VLVvnxMCGtZxGHKPSOehAu7ESrseAyydYlSt3WWkX0e0LMEnAVJERbkE9uX68GhrmGLx7Si1bSYEgVxcEwryJYj46LKQBOScUXnySiFc9wXIFODSDryaLND0yPoacbsgahUMqxHHk31Ow2MF5E/1GYkmKmW1B1TmfRC7+IlLu2zSNldpeNu02xdodS7QaG2jeV0yxyWV/a5bDBc5B6chR8OI43HCZJEpAF9IIFKE1NvxDdY6Dlti977Z5Nq5FtfOtVUW9krLVjEB72aRY0kUtONFxnieM5RW1LWLnNE8V32JtRrNM06nCXFSj1+EiNEWJypHgLsKX8txKhl/JoRhDbQvQsm8/uppI8c2aXgmTVujqZdYekhkHLAw9plJUFiRK/WyOAoIIbh2EqgdgCpRIpsmnm/j+Q5eYKtYpKDh4gc2vmcT+Bae+zaB49HStNtcbF/hQvsKG8GW4L7qmihZ5nkh4zghWlRqXZZVZEWp2vRsWSmqz/q1wrp+X6WIHY6t48pplYRo0Rzmc8rpmHIsitkh2WBAMRphpBGlEEgEfJfjvihqYrZt4ngOrQub9J68yMrTl2ldPU/z4jZ2+5vL086KjDBfEGYLojxknsyYJSGTMGQaShsxjxOmUcwizphHGVGS4doW3SCg1wjoBQ1WWm26hkMrKvFHKfrRgujgdAneH5OH8cO/6fbb+Ftr+NtruGt9rG4LI/DRXHtpqZ8q9b3M4SkCzWxBLiTY6Yx0PCM7I2ENJoS5RohDiE3iNChaPdJGm8RpquXYcNXrC3l+ygR+roteVbh6jpOFaLMJTEYwGVKNRjCbYGURlrg5VTm+Bk3TIDAMbGws11u6GVi4Ky2CrS7+ErB3eoEioeVhQh7W5CRpM1mW/iIlm0dkcyEGpW9f475Gq4B25aYvlv4ViTjjaTozXWeqGUw1k5lhkus6mRD9JfpKPZdIW6lliSyQ1+oqMXl1PxdC2dl6TVOfIc4uElOmWyWGU6I5FYZbonkVgqdodqWeL0pDoxQ3BblOCkHsG8xrCl8iyzRFNJAYAEti0BRBWr6fjmOa2PI8K9Fv8sye2qSRRRKZxJFJuDBYLHQKmaNR132NdkOn39JZbZmsNXXWWyabns6TEeSvn3Ly0j1md0/fCdY/f0G1fxBYX+ahUtOfgfVVPkfT7dr2XpdxjSUscjUeljHGVy3rlrCUl8vSml+xLK/X73s3AH8BShVYPzxT179eA7SGrezvzf4zKsNeMSuW43tF9H3kOeArx/9vL9ckPaFLKzK5uqHV697+DHGicBRhUne6yuWobpfLAvZ+H5OjvifA+OGrCozPTl9ShAyJi5PtquIN1HZuo1lLUH3Z1wWEP1tvBd/RfVBlYQ3YC3C/BPOrs/4jYL4QCB4t8t3N1iWM9iWM1lm9iG59bUeux+V7v0is00m2x2F6j4PkHgfSpvcY5Adnpmn0rVpdL2D9GXi/Zu9gyrX0cXlcHhd+IMD5ZrOp7OM/+9nP8v73v/+bAuc/9alPKbt5yYs8Pa0Hce92+VZvhhcuXFBK+a8Fzv9Bxfd9/vv//r/nZ37mZ/hOHyg///M/r/LtpTwG5x+Xb1SKquDnj3+Vf3b6aT7QfIr/bPunaRi+AqS+9Jk3+OyvfZE3v3hHAfPPf+xpPvTj7+H8E1u89QB+/YWS6aLivU/ofOR5HVfLSH71M8Sf+m3ykwMKNyE3UyIr50s7Bv9oJ+SF9ZLVboePNj/KE8MPU97d5uie5EbKsaopoP7qVZ1LlzQMo+TmrV0+88ItfuXfvsLrb+ySxRZ21aDjd+g4HvEgIp7JAzQUvZToxhHz9z7A7JRsets80blBu7/GQX/EQp9hHE3Jb+8y3L+LEaZcHfe5MHgab/oMJ8kOWWHTsec82RtybQU67S5F0SYdFip7XP6NIMliy52Zjpqsizyf1HUpLYvcgEyvmJgpx6TspSUjNJWxarXFulompHJ0I8aoDIYLnclcp5wZWBMDY1GB2FfK5Ee4wEkW+GnEmllwwYO1pkXebTBtepxYJpEnWQMFdCdEnWNCf5+T/Ji0yOis2XzoPavszvu8dneHC40x74lazIcVvzX8V0RbovL5dxnEIWvNiKPYo2mV/FR/l/bhAvdBwL2XcorpDzOgw4s/dIddQTynXW60mnx0dcqWdgtLGzJ3Sk4rl2HcZyGZxycW1qFLsAaFVfHWRGeGrTJ2+w3oeGLZK3BgwigdkGZTkkgUCilHJxnpPCea+pwMOhSlqCUMeqtiyx1xXCyYpWPa+YzmaIZ7PMM4FVWKSVZ6hFaTmd1iarYUCCHuhDoFDW1Bx0vpr9sUjSZZ1MSfN+lLXTRopZ6ygSrMiomXM3FTBnbMkblgUkUUQhLLcmX/1yRVbghtLVFKtbaR0LQSmk5Jx864bE85Z4iCQCaCGuSRT76Q6lFmwkr9xvceNXnumugyeWubDHWLI83msDI51Gz2sLkTwqyEeRjBYkJ7dkQ7H7O6YvPkD13kT/377+PpG1vqs9Ki4uW9Bb/5uQe8cHvKZBLRiGY8VY75E0/2+dDHb9C5fvFdeUA8Gmd87o0Rr715xOHBAL+cccVfcMlasGONaWsnaHlUK7GtDom9RWJvMzPWuZm2uLXIuDeZczANlY2mn5isRy79ic3KyMbNa+v6eVDywI44rGLsSqNn2DhiV7kQHN/AyDSiSmPuWkxsi0hyZKuK7TzhahlyuZQpQVHllsQSG2HHzMyUmZsTOSWRUxE6FbEDkaMRG1B6NlXgk3sBlW3RtmDFKFjVMla1VNWeJuppIZpozLEY6R4zw2dhCUjvU/lNmg2HfsOgYRt4Am6aOg3LoGkZStUixCNR8AnYvy9uDCczBQKczBOGYmMpdpW5TNwWqkpchkwQCrivVxmCZ0mqgGnrmGKxKpb5ch0SAEqUUXLtr9OcFWHGDg3sha6qMzewQx17ruOEBm4ok0Z1sqe6Z5gVqVeSegWZW9dpO+VkJSbXc6WulQlIySQW8GGl5eM3fBVtEBdyaStEJowbp7QHM9wHJzi7A7zhFEdL8TcddR1qZQndKKSpxVjtGGurJGjlWFqJMU+JBimjw5TxaZvB6UcIp09iuC5bH2lw/T/cZuvDrVolvSxxWnH3sOD135/y5qfHhC+N8Q8XClxmxaFxNeD8Mw4XLmlsdAu0xYxFlDLLc+6UBV9II25RcGjAlYbH9SRlaxbSPJ2QSD78/cNaLaRptLZX6V3ZoXtpi8Z6B6/rY3kmebxQIJeAkFajgd1oqmr5wbcF1JbxiPzo8wqoL8NjNeljrb8fc/2D6EEdcfRuF+UUEWYKpBf7e1E8C9D3UFHfe/eA+kfLfCGAfaFU9gLYS90/zImS2spWwFfdTpUlJOkMPZZ8xoV4yqA5Lnqzie756JK1Y9gK0MnTkjKvrYM1yeKVKvOcxaPrlvLqokKT96Yldg5WXmLlYIgbSFKipTlGVSjyjlFl6GWGUabLmuDYOZaT49gFdsPCaTo4LR+3E+B0mri9Nt5qm9Zmi9a6T3PFxva/vUlipRY8Hans+tmdAwbzgrtznXtzi/uRzYPIJi4FPK/o60kN2OtztrUZG9UMs6jJWYqsdUbYElBvXpBPoJzrFDONci6zP5okFKlq2BWGXWLaOYaTY3oVlg+mJxbpJobvo/sBht9ADxoYgYBAoubsoDc7Kuf9LKP5LIc5HUREu7O67tVtevp2NrLmmGgNm8Iy1H0vigumg5hYSG9y7omisKPjNQtsN1PAvV7OVMyBuGF8rSL/LheQeEnaEicWOW4iuU5XuiIjCeioyFxlpXKT6ydsiTfRESaYKWRSAeyyBDtLsYoMs8jRZCJdffGHPtV1VxEThBwhJAUBWYQUWpMlBDxXinRR1zY8TN8ntBvMdak+s8pTpLZpYTPOLBU1ohSscg+0auBkrWuy1rVYX7FZX3HYWPPY2vRpdVwFpP9Bx5NSkC+WedeSez2PSAS8n4kteEg4XTARwsQkVe1MYg8WOYuoIEwqZCidVCYJJnll4BULmuWCvpnQdzJWvYqgIe4hosoPcESdHwTYno3tediS2S1jzWVMnjo3H7FrPrMAl2VFDGh7WO0As+1jND0WRszRZJcHu2+we/8t9k/vcTw/YJgOlQp/bsfKiUp9npAKC5NG7BFkPs0soGv2WGtusdbeor++QWNzE623wcLucO845d5+zO5xzOEg5WSaqd8rQShCWhBA23Ekv9pivedybs3n/FrAaktAe0sB96ptCoCvMwkLBaiLhbUA7MO5gO55DborAL5uR7OMVB2fJdmS0CD3G6Ge6PKQpEiUteW4SYFFiaOVeFquLLabTYeG79D0LRp6gS+vUeBUBVaRYuUZepKgp6LYixilJxwWexzqxwy9CQN/wtytz0UhPHSLNroQUB9xIKqWxCsVCVTVsUMPl5frBDAsyoCyalJUDYqyCVWTiiaVtFWDsmyQKWqmovSiVSZ2ZWFV8owo1VZ9Ifp93ckuIUlrFYZWPmzFRUn64uwUhXJfKUkxkC2m1M5GTWRRIwv5TUuFsKsXKn6i0XJodjxa/Qbt1SYtIS0GlnpNM2PickRYDVjkE2ZRyiJOmccpUSLRYfV9LE5L4kScUWSXScyO9XYtLGW3ri4ZYrmuGUrxbGjiXCXHV92XZ/u8zMjLXNWq9js6++EYVo6Iyl1XI3BNfIlRoMQvC9w0V1FW7jTCHc7xkgKXHEcraHYFpDcYDxPCuHoIvEc4JG6T1GsSWz6x4an1mqj5hWglKnoh5cj4qGHQCgzaDVO1arlh0mkYNAOJcqiYLQpmYcFc6iN9aSfTjPFgoa41ouzPli4gMpaX+60jMUxViluJg0xWE3klNqKqsPMMV8tVFIxDhl8l2FWq7tlVmStybJ0+JDEBdQqR2NmrVkh7roXVcLFbPmZDnA3k+lu7g8g1WX6nIkktr+dJpbEXlzyQmpTsRiX3o5KFjCnkuDE0dnyTc77Bed/kQmCyE5g0LWUn8PBzVBUil5DGxNFg9kg9W166HMgnTzA50TxOdJeR3WAq1fSYaS6LyiaqTHVfyBVRXAhz9TGlOwIs5uhCLvQKgobUEteR2D6wrap+tliC+LopzoIFcV4xCzWmc12184VBFOoKwFeuNEJYcgqubJv8+FPr/PvXd2g9mHH60v13gPWNnZ4C6VV9/gKeTBh8g/tQHu8/zKmvqoyqrCtV/hXLy/brXw2+uqgoqhrcN6wepreN5W1jutsYzuofCryXY6wY3yQToP5MXR8ef52/L/u9JiwuD8pHIrLUAflwfR2Zdfaet5flSTSJZpCOMcqFcqT8qt+4BOxFKV2DydLWy+/sd2Xw9scazK/yiGzwKrkC479IPnpjCca3sFbfg7nyPNbKezDal7/vtpMcm/IsKQr8IjqmmN6lmN6p6+zBQ9cwFWu1BOsfgveN88pJ7HH59opEsk0mNUmi3W4rt6rvRknLhKPsAQfJXQXWK/A+vacs86XIfXvV2nlEaV+D9yvWphp3PC6Pyx+nsvuDAM4/8cQTysr9H/yDf8B/9B/9R98UOC/57H/zb/5NBSxLTv33Kjg/m834Z//sn/GZz3xGfc+DgwNFJpDJm263y9NPP82P/diP8Rf/4l9UivrvxoHy9//+3394oDwG5x+Xb6Z8bvYa/+PeLxLoPv/Xc/8xl723YxeGR2Ne+NRLfPZTLzE+mbJ+bkWp6Z//+LO8eeDxOy/VA7aPPG/w/ic1NalRfOEOxa+/RHEwINWGxPEDsnjEccfgX17K+dULJdm6x8XNdZ5uXOP84Xuw711heLvJcFi9Q1UvYL0YQcRxys//09/hH/3LF9nbm6n8X9s0aVk9PL2p1FzlIscSG7zugskTxwye36MSIHi+xUZynZa1yXwlRFuPafkLjNkDjh+8RTWLuDDusHX6LO7kBvPwHFVh0TOmPBnc45n+KRt9sWNukqQ2SWhTZDJRYlKmBkUiEygGpe5QGV6tprI9csnzFkBMg5iMoV5x7BocBxajQBKKc9JsTG7NiLxEWahXWQMn8+jnPtl+yfyoJF2UCLIl7gFuFqlMaAHsN62KzaBiJ7BwbYOZppNJ5rircacz4pe3vsDquYRnnnwvnz3s4VhzPiLO36ceXxq8yAvVC5y7+uPk2QXa7QbDQqdvw3+6XsDu64T+mFk2Z7ZXksXPcBStcPN8yHjcppWskMYOLT3myeCYa8ERlhWzj8V+3iK0Xc6PDC6OXfRNk5lt8NLY4POHGcnS8U4mhM53XM53HS6uQLcdYjhzlb/XMXSixW3e2n+Te/smD/Y22N1dZTZziCU3UCuJBDFxCnrdinaZ44wyGlFMywlpN2OqKuL0NGcwELWQwUQPmAhTuaqUCtkrZHImxzPAM2zaWptm1SYomjSLJm7l1vPlToneTWlulmxctbh4I6B/LsDybIwUqlFKcbQg2z+lGAwwrBm6MUPXp+iM0SuJZinqiXfDBr+PFqyhifVxex2tu0HZWOUk1tgfF+wNMnaPUvaOpSZKERmlJZmcW6ZY553SHe2ycXSTjXLC1uVVnv7kB3nvT3xQZVJLEZXSiw8WfPrzu7x4b8p8EtJdjLlRTfnIUyu89+NP07524Vu6Dyp2/jK3uQonKq+5Wow5PRlxcjRgNhyhJ1NsLVN5yS2vzmQUG0r8Nlqjj947h9Y7R9La5EtRzBd2j/ni0Sk3ZxPypKQVGlw7bXB90uTqpMmKHWC0beXJODdL3hxNeXCyIJ2AH5k0ROGUZBiiiFVb2WahW4wNi7FusDBKRepI/YSkkZF7BoVrUDo6pQeVKObtOstVcFqVKSkKkFLDy8BONaxEQwsLzEzDKQzsXMOW1wrw5H2VRoBGoGtK1d8NElpBjOMnaF5E5YToVkKpl+paIPa5J6XDQeWwW1rcLy3uaQ4nmk4iYnatonhkMlV2kXw/iXQVIUyde1mvE1tvV6twihwjz9BkRlcyy0TdGEaUYmW6CNHzHLMoMMsCoyhVWy+XGMtWlg21vn7dUJmnslE9isyhLDwoA1CT4x3ysgd5hwqH0oKwkzJeyznZ1Fj4Ru1kIMogMnJy5Wog54DKZbUMDFMmvcw6zzMvMaIM/2RO48GA1u0jgoMp7bhg02mxXUk2J8TrFcPzGuUF2GpF7MSH9KJjEIDi+CrDg6vMJ33MoGL1mTk7P9Zg48NPY6/L5MHbFqfRg5Av//w+N39nzOAkJw5LykjAdbFm0aDvsPaUw+Z2RMARxWif8cERw8MTRuMpi6pkpmuMV9poO2tsXDvP5acv8/x7r/Pk1ppSHX31+VOSRSHpfEY2n6lWWb1qOpYAT40WtjghSHTCH+KhXIb15ewB+dEL5EdfoMpDjOaOAunNtfei2V97olNUc9HRgOjolOhwQHg4ID4eqM971EJXbHONr7TQXVrrylxzGhYkc8mWFXDWxF9p0Fhr4a8JAcGp/536t7Wdp7LYXogVe0weRuQLUavFagJa7KxVK+vDmGKp2JV16v1n75XXS5mM7jDUugzpMqi6HBcBqdsi6HZwmx5b53x2znlsrRtsrhmqXenVWb1n204+JxdwVVSXpagv62UBeaU960tdCEEmqasQaWZpbUU/jQsW84L5NFdOKJoA9iK1TuUeXmKnGW6aYqcJdpxgRAlmHKNLhm8q4L5sFxlHLZX9uo7rVjS7Jc2eRrNr0Fgxaa5K/IFLcyOgtdHEbjXQxEHDCRAE/Fshe8hv3x/l3DxMuHmQcuso5c5RqraDfIedvsXVTYerGzZXNxzOr1iYco58nc/6WvcUuXdUyZgqGiqrTVHtvN2Xdlhnaz5SNKeF7vXRvB6atMpyUyaLRXUkEUANpVAqxZhn722w/lHgPp/Wlp6FbH/HoJJ4EE0jEreBeYYY14gbktWwae0E+CsOfs/B61l4HakGblsyiGtLczlmxQJerJnrtraDL2IBPUV1GRKOF5xMhUyVMZinTKNMqVpDdEIhdUoMiibjRQHSNIK8ICgLWlVFW4OuqbPa9tlYbdBe6+JudvG2enjbK3jbfexHlPffTBGCwvEo42SYcSR1kHJ0FHN0Eqt+Er+tBvX0kr5d0DNzeoY4msR0qhgzSxXAvMhkbCFVk0suYS5uQTpRodWtgD4IGexrH39CrROgzxOwjwK3StHLnEGqMTYalLZEQdS/TQiQfS1hVU8UaWTFSFmV76Sn6t73Nplh2aobyVc7Aii7/GlEmXy1pazh2QqwNwVsk7YdYDRdld05zAecpsccR4cKuD8OjzlJThjrc2WdH5m1q59SgQtwq5T8mnIdsFx76TqwdOSwXLLUIJx7LOaeasOFRy4EzjygKpvoCnwOFBlV7M8tcRUQFwkhFonbRCkMQYnaMnB1vb4/i8tRkqhrY5XVhA+zlHt9jktBx9ZpG9DQoVHmBFGEGy2wwoUiAKsxg0zKlzXpJFvmf58BgrL9crNg2o2ZriZM+hGjzoJRc05uiSpTp0HANpucM7e54Jzjon+ZncY5bMtR4wc5roTYMgszxmHJeFGodhJVTGKYJDBNNWaZruoi19W1VkDaQuIJ1BhFCC0JRh6h5zG6KKoFeDNT0saCNFhQtBZkrSlZMEczhQRd0cJljQ6bRo9z5gpbxio9rYEtpN3lIVRfbJbHEcvvG8XKcUUTB6l5SCY28eOQVLfJBKzb2MDY3EBfW4f+ClqnS6RbnEzHnMwmDOYzRvMFkzBmFiXMQ3FgqoF2RYqUvaqAdR3brhCOievoCsQXUmPgmfiuRaCqTcO1afkuTc+l5bl0xDXJFUJCgTaZoY+maIMJ2smI8mSsiEJxqZOo81KIvOIgkTImYVLlqk6rnHlZqbFMWNbviyudvJBnW5uydNRzsDpPSl2NifVCnOzEZt3AFscQ3VKuCV1Xp+tY9ByLtluP/ZueVoPvvoDxOu2WSSNYjh9k7GCZaGoMYaItc8k1WVfj0LWj07JVx9FZxJQcF0VJKG4xUVmD91HByd6Y4/0xx4cTBodThoNQucooEpAm112HQqmi9YdkpbPWNSrlyhXYUjWark4gv8G3FGGg03RotWQfGPiSimTJ+8QhY5nhvrSn1yWSoNtYVrmWfDWYKfdIsdC/dTzj9smcm0cTbh/M2D2ekmclWl7Q9Sy2mh6bTZd132YtcGh7tnJuG+UGJ4uK40nKYFqTciZzyaCXKKCCOJZIj7PvJRtOeVUoe3xHL5SQwq9S/ComkPmEMqJTie5f45gGg6rBEJ8MQ5FfhPhr6OKQk1LqGZkpjkkpuqxTvvz1dV1dX6qCZpnTqAq1LAQJidUSp5mDdpfXrQ6nhTD3NDb7Gh95epX/4P2X+dBqi8HLu98WWP/NFFGUPwTv5fpxBtqf9ZfrHy6rVu71J+TRHkW6FItp4iqzieXtKNBelPuGvfKHcqwSZXP9mUuwXUB35fr07YO74lp7Ft36yU9+Etcs1TisTEYP21LGZe9YV9dKHrK/EirQzbeV924X3e4oy37dX1egre6tYfjraMLC/AEosm+ywSvkpy8pdXw+frOO3XQ6WKs1EG8KGN96d8QN36ulKjKK+YMaqJ/cJl+C9uXisH6DOC4F21+hshfQfvtxfMMf8nwVgaonJPI/whIWcw7T+w/B+rreZVHUz2qmZrJhn38I1ru6+Fm+85rx9nLdfiX8ePb6V77vK18X5f6qtcW6dZ6OufIDfb49Lt/b5QcCnP9Lf+kv8Xf/7t/lp37qp/jn//yf/4HgvIDbsjwYDPhrf+2v8bf+1t/6bn3V79vyGJx/XL7dcpQO+du7/xv34kP+/Maf5ie6P/SOm59cMkRF/8KvvcTLv/u6Wn7qg9d49mPPcaJf5uVb0G5ofOIDOtfP10/X5Wu7FF+6R/nGHunRLsn4LklywMIqeOWCxz9/SuPk+gq9zQbNlkdHb3J18TTt+08S31njwV3ta6rqb99/k//PP/x1vvDlEXmio2UVsZq419BEAZ04VJmuYjGM9ZToyh7Tp+9RORre6Xm8w4sYpxtkZo69kdHqZ9j6MbP0ddCPOL9osnn6LOX8aSbTHdJKxwwGrKzc4+rWgAsrDXr6Ct7MxJyBHgswlit1XJVmapKdQvzuTAqtQa43SfUGqdYk0wPFUpdsutjQmNsGY89iYemEiC3tjAfFhFftIYdtUZzptHSLNfOOfagAAQAASURBVM3BknzvPYhOdaqFg5GJ1ZxyxlNqAN/M6VsV552S58yS3Kz4pVbJ55sDVjagefEceDnv83W2Q4Pj2V1+bfCP4Pw2dvBeLjUDjqo1HN3k/3H+OsG/fkAoTMrtY+6aryvAKvT6HBQ9Jv9/9v4rWLIsS88Dv6OFa/frV4bMiNSiRFd1VaO7qhtdYAMNDockMCBhpNkMARujGfEwY2Njhie844nky9gQpGEMNgIDkgaQwJBQLYBW6O5SWSKzUoaOq69rcbQYW/u437gRGZmVVdVd1V3IHbZj7XOO33vd/eyj1r/+/3cNjNzlRvYMz5qXGU8hWRziZQ/wtTmTzOD1aYf3ogbbmc4v2LC9UdCoWXQubTHKazyYRNwfRzycxCpGYl1glDy7k/Lq1ZS2L75IDa7XNZLi9xnk7zKZOezvX+Zgf4uDhy0OD32CyBQyLoYrnp2haOpilImq8N/dqXHtZpPL23W2tZxmsGB4OuHh3WMODocMhnMF9GhRhBtHNJOYZhZTp6RpSwJsF13fVN3Qt9C0taRXRKkPKfUBhT5Cs8ZYtVIlYs8Tw6trnBgLOlaupJBtMwYjwzBTXDNC03LFHIsLg0HS4DRuchbVmcYOk9BkFIhMZoSrR3SsnN74jFqZsf3MLi/9O5/n+pc/Q+tKpZQyj3O+8WDJ775+wLcfzAlnS/rzES8z48+8usmnfvE1GjdWNxECtAuKtoqSwI5HCWU0R0tmaOJREE1AxiJ3Fo0hFmpk9bwuQNQ00jgKfQZZncRq0Ot32Nvrc/VKD7fRRvPb4DYoSpPBIOC9gxHfOh7wxnTIPbFxmJn05z43xg2uBA12tAY106UQkDrMlZx8ksRM4oRpmjEwIhampP7nePqc5obG8kqTg1qXw1kT/cCltjBoFBpNt6Spl9TlPJCt2IgiPVkviOo5kVMQWZLAFG/XgmRaKNl3ZWQfyuFbkjYLilaB1i4o65GSkmx1fdyGgeNVXtZif5CLVGoKy7hU4MUiE2ZMQSAyqisirjxidLSUHT1hT0+5pKfs6rKc4ippXRFmMJjGLovIJRGFBd3Hchu0NlzqPVt5kTe2bPymiWsaeKb+AYn1D2vKo14S3YoBmq3kgsVfOHtsWZixF5eFKTqdZBwdFZycwskZnA40JjNhulVso5pIkC4dvNDDVMln+X7nLOsLFo2I3DfJRbq45pLUHVKjVMB9XiYUwkQwc1JPJ/ct5X2qO0LNMdCLEjNO2bx/xjO/9y7XT2O2CptuYVEaJg9bTb7T6fOe36HupNzIxrw8OaOtLzFik3y+oxh19d5DNq68j729oGjuYmzfwNm5htXdwtvcwnd8kltzjn//Abd/7zb7tw+ZzwekwUAxJWT3iWSm09uke22T3ZubXL7RpbvXVufYYx3eyhO+Giy5Lck9Q+e5bosXNtrUladyVXkuXTmSKiCgipX/auVhX0RhBQgIU9N1sTwfxxfWvfgMm+c/IwQGURQX1YXrGw22RM75CX9rxdAZvqUY9cnp94gnCWm2S1LsEQc1opMx4emQ4GigWFfrJqC7v93D3eop5rsCJJWVRQVEylh5Ul9c/4S/qPiWChgjXcbV7xVJVgPjAiPsox5DRJK2YqR5GOLPe5GhdnEs3rkr1pqMxdM6MzR+5/WvE2cWL736S4ymJkenOYcnVQ/C6u9KjcBW/xFYv469zuq8/aP6/yXlOWgvIL5IXw/HIeNpzHgWV5LTQcpC/OSTgmVakInkfiGsfA0nASsusKISK8qxFynmIsdY5mhBxYatQPwCy87x6jF+PaZWj2k0M1rdgnZPYUdsbFo0Gi66Kyz1Hlqjj17fQK/30SwBRB9vIgv9YJByWwD740QB9w8HqWLBCTB/fdPixvYjwH6va/7o31mefAR4v1p+wj9TmpIFFcBeSYVKX3l3Ok3y1CMa2USnGtFZSXQcK9A+OliQhwKsF2RRpkD7XNdIhSkbZiRBJoIhSnpbUDyr4eD2XLwND2/Lp7ZVo7ZTp75Xo7Zbx2k5Sm5fd1cs/w/5LmReTKKMk3nC8aqr8TjkcLDkeBKRxGK/UFnI+ElCexnQjSJ6WeXt29cKdlou25t1GlttnK2WksovlCxzTLGUwhYpzqpivozJVazG8rr1sSdhickEm1HpMDE8plZNKb6MNZdJaVPKNUbdy6iTF44phZUaNQd8W1Ps7pqAWYqFK8CiAFsGNd+g7ks0qQsrtm5jy/ezBuJEHcA0iNKE3/xXv6lA7i/+wlcYBwZHZwnHw5TDs6QaDxIlQS5NitM2uxY7Gza7fZvtVZTlXvvD56EUUGTToOqzVV8vT5cKwE8lrtblwVPmmqmj12wKoyTSY0b6hPlywmIyZLmYE5YpCQWZpZNIMZ6crG2d0tIw6w52w8VS3cGoOcSmzjTLGMUxkyRmGqWME52ksMnK6l6otMYU9hBNX6DrIaaWKXsvL3bxE59m6tNKPdqxSzu0aIUm7cCkljiYia4A91gKRwSIl32prDt0pUbg1jzlae6Ip7nvEvk549qUM2/CiT3gxBow0EfVZy9hs9hgL+uzm2yyk2ywE2/QSFzRS1XKGmFacj9yuBe7HKSOUg+alxaLUp6FVvcqK8sRWy9pmjkN1QuaZlGp5lglLbug6Yh0fUHDriS2q+LW6r3LfFxOQ04PxwxP5wxnIdMcpgWMi5zT1pxhY8qiPiJpjEjqQ3IzVnPH1Vy6xRYbeZ/tdIOdqMVe4NMMYpyF3O8+UtCwGjXq13Zxru5h7GwR9TyGXsTR8ojD+QGnwRFn4THD+IRZOiQX3+lc7o2kgLOFkbTQwyZa1MRO21hJGyPpopeOOm9XnuRPPx+q4gy5x5NzfJqrZ0w9lgLMFD1K0AIp6EoxSxAIXe4BfLkXqHmK3Z7bq2KV88mrhNjXw0cpcLWqUhiQRHimJSRGQGQsiYyAhR4REhNoGQEJ82RGYU0wmwsKa4Yuqk3KQ72KbuZQy1z81FNzUHo9dqgnDq3Mo5m5tFfRLxw1F/64mhScLMOAZRAQhALWJ6p4KMQk1ES5w1Ix0RxlCyXFF+uY6A6JWGLpjirIWH9X6v2uoqhSSIGRW6bKCkIXuyE0BWrL1Vme86UIqzDEj14KsjRyidpqm7qCP9pPa/UIJdKzGj/tPklIEIaeY5kljqPhS9FA3aLVdulueGxuNdndbXLlcocrmz69pthDPP2+RuwY5B5QCiLlD8tzgijljGZSKJ5xNKzi8SjncFwwC6RgpipWrIvCiZfjOjmWMO6tlFxPCYqMaZwzTXJCZTNToicJL+YB26MB+0XJG06Hfa1NoVuq2OG1TYO/+OIO/8GXXqBddzn79gMF1kuf3//jAet/0FbkkWLrC1CfRftk4eEjwF6XoqxdTOkr0P6HBez/JIB9Ip8vClQKqI8qEF8B+Mm0Ylgnk0oSPTyjCAfnzOr1PdkarBfg3lCxGisw3+v/iQRti2RBNnyjkqhfg/Eyd90u5kUwvnHlE3BwVbyQze+vQPsKsM9md9R8UU031Xf1GMu+eR3d3/7k+/tTAM4/rcm5fJFPzsF6Ae/XbPukrO6Zn3ZNX6873/bE/v/A9ifGqRRJiQKU2EzrDpvWHlv2ZbbsK2xbl5X0/oa1qwoGfhJNPdtlAwbZEcP0mEF6tOqHzPKxKiyQAoY9+zo7zjVV0CDFDJ+0P31t/6cBnBev+S98oQL6/u7f/bv8tb/21z4UnJcP/Jf+0l9SLHQB1t566y1u3hQ/nk/aR7VPPOc/aX8ULS0y/p8n/5RfG/0hP9/6FP/5zn+IZ3xQqiiYh8qX/qu//m0O75zQ6NR54edeJei8wknc5cqWxld+1mC794iVVh5PKN7bJ3vzLsG3vkY0uEWUThg1LL5xs8Ebv3CZ7ZdvkjRjhqWkCk2e1Z5h5/BV9PtXObhtfYBV79WO+Pobv84ffvOryu/x6vZztOuXODxecOvtExYjSOc6RSQJOx12cqKXpixePABPxx/dxJnsUZw2iMfi0QWm5NKcJYW9j+mP6RkpzwTXaY9uEiwuEYlrau2U+PIDhp85ZXnNom5ssjnbZm+xR3u+gZOY2MIuyDPyoFSsVUfLcJ2ImhPT9BOMNKSY5RQzC0KXtBA5wDqJaZOIIbacIxWbKSLKQ070kPtuzomdEhUBWblgqUUM5qDNfPy5jxfXyGKXTLPVLU3X1HjeSOk2C36vM+NNO8O73sKqO2ykJb/Qcqm5Z/z+8J/xjn6b7t5XeGHT5ay8pnzg//puwedf38V5fULasfha/lXuT9+m+PkuzuU6E9dl4NikhUk7qvM5/zm+0npRMarvHb/HdH6PMMt4J2jw1bMN0rnPn+mUdP2C6UIYzTqXt3tc2e5zWQwvy4IHk5jbw5B3zxaM0gnbvYB2XUBCCy1u8mzvLm7ru5T6BF24QWmf4ckWp4d9hkfbPNi3OZukREGGGWVYYQJmQtHPCboJhVvd8F3p1bix2VD95mZTxbZrEByesXhwxPLBcRUfHrPcP1GApSROsCsfLs3Zoyg3yKIWZSHHiKYSE2YjwPRjSjdmpqUMi4LTPOc0ELaDwTCsZNnlgc8zM/rWjE37jA3jjJY2omfN2HAWNKxMKQhYksxBJJjrqtDD6fXoP3cJr11ToHoYJ+wPAx4ejhnNQlAFBgs29Zidrk17q6kY/sqHTqqfk5Jw6hPOmwTzFuG8RTBvEi0blMWFJIJU78vDs2GqcaGZSvp4nmpMU03J0Rq2QbOh4bui3JuRFBlxkZKUGQmp8oFPDUnWFEr+0Mg1vKVDPfBwMxtHPGc1yQfllE5EYS9JzDmxOWfeTJi0CqaNjKSdYbdyWm0Bpi01v6fHdU7ebTK42yBdmni1nL2bCy49N2fzcoAlPtEq5yVe6yYMbRg4lEOrigOLcmRTFuK1WKpke96MKZoJRSNCa8ZQjylrsdC6yWONeGmoHq1iGBiEuc4yFYlIg6AwCXWTRJLHvo7WAEMIni3wuhqtpkanptPxdZquTtvV8XSDVrpitC1D7OkCdx7gRCGlSniLBLDFPLJZZI7qgSQN68LyMzFbBmbTwGxLFBbSBx+KRFK5b7psWx4901HLT2uSVD45Ttl/GLP/IGH/ofSYpSh3KHsenUuXbS5dcbh8xebSZYfNLQvTrIDWvMiUN/z9b8Y8fD1ldE8k3Au6NzM2Xo5oPTMnM+acTQr1dwaDnNFcYxI7zPAVUzkuRSFC2CsLYheWDZdFWxiFJc5wxPU7D7l5f8LV+wHbmUNHpFPrNoNnm3zvs32+3nLZ+qcu/qHB4krC7jRk9wzcxMSyJzQ2vsfG3tu0upHobKrjVo7t5bwgCHSCyCLSm2TWNoWxg5btkk0bhKFPmiplYMWwF6neRluje81g65qOEOh8yRP6MPF1bpUZ34xDHmiFlPEoEEwlWuV7luRnWQGga6a2jFXCU5Rf1LEqktdZlS4XVneuEWUasfRUq5hRIk+r5Ikz2iRsFgn9sqCbZ/TilHYQ0hbp/fEYP11i5EsoY5yOh793Cf/a89Su3sDb3sDf3sDb6mF3mh87aVIVfAgQL+zNlCxas4jFf1eOmYR4HrE8m7E8Fe/sUH0uKWpx6jb17TZ23VMSsSLPbTV87LqvlgWc/+NI3ihf5kV5DtZLPFrFMKoei0S+VYB61S+A9p3W48ltmQPRLCQYB4STgGC8JJwGhOOlYlmqOF1vC5Sv7ZPNrjn4nRpe21fndL3pK5D+7GjK4GRBIOCxYZCaFuZGU4GwRqeBVvMpCosi0UhmKdEwIRmnZNMUbZ6jLSoAv6IcroBY8aj1C2p2QNte0rWXbDgzurUcu+HhNAVkrmO1W7idNnang7vRw2rUK2l9U+NgXnDnLDkH7I/GMkfBszWe2apY9W1hS3q6ii1fuq4Yh57QVX/U/ZfFyhtTWPZlPHsU1/18fbV8MWF8LuNqN8BukMUtkqlPNPKIhxbJ1KQoPMUYzRODdJYQT2LSWUy6SMkWwo4XBn2h4kWChyo+sUVyXsdwDMyahdWwsZsOTtvB8C0Mz8RwTRV1GXuPr1PrXZOFBuO8ZJiXnGUFp2nO4TLmcBpxIu8lzijlfiTJqMUJneWSXhyxk8Zc0nIuWyWbnolZc5X0shS3CBBs1NxHUdbJtifWCWh+scm1cTTNFDC+Bt0/TDXhj7PJcTuUIrFBogB7AesVcD9IOB2l6twpTWT7t3sWO32b3Q2bjlfQ8aDX9+l0XcWCFS/xj9NUodosIL0I4E/DVVwD/HJOE4/fUp3voumEaDojmk6r8XxJIvYzAnqZcqbWVqocxbk6il8T65c6tXodv15TNnih6XKalsxyKtZuw0bzYiJrxpQpo2LMKJ8wzidMiinTcqoKFyM7VkUlcp5SFgi6SbOs0ShqNDKPhoClSwt/qKtnhsCIOW1MVD+rTwgtYcNq2IXFVthlO+6xnWywnW2wVWziGDJHpMBCiitMxprHfubzIHaVPcZJLFByiW+kXPEXtJ2MhpnRNEoaloDwpQLiG+K/re5DRA1AVcFU95+5TllqlJncGErxo6Zsy8hlLAU8GmVaUqTyV+TnKuBP7StRUglDclFTkRhGJFHEMkkJ8oxRLeGkM+O0N2fYmTLpzlg0l+rPS6LYDTp4wQatdIuevUPipszNMXN9RGRPiO0JmfHoHG7mLm7app53abJBS+vTEWa+2WfD7eO7Dp5r4Xmr7pp4nq2i3IMli5hUCoEWMdHZkuhUvNqXJKMl6SQkncfki5giqRjk8j2IJY4magpK2lpHE8sh2eG6XhUTrYDd8zlsamSuUXVHJ3dkrJM5oiClP1ovtjuOrjzLP+zoXl/75D4mTXPVwywiLGZExYKgmJEZS3IjIDOCKprr5aVap+T1z9+fFKUaWIWPndewixpu4dNyGuw0W1zqdrnc7dCvt/AMH8/0cE0f3/BwLR/f9LEN95z9rgDzdbHqBUWNi0oaVWEgH1in5k+SquK4LE5U0WEm9zSyTsDrSJjpqWKnzxdpJbcvrP0gZykqLFHBIqoAdVG00FddcgB6Lqp3GboUxyQZepJWXdjsyk5BWO2SdzCxlZWHXDc8XOktDxouE8tkpou2RkqHiFoSKcWdZLYgHM8JJ3Oi6VzZjKz2VvU1GDpup4HXaeK1JTbwxDqn28TvNHEldptquzr/P1Hk+bQmn1kU3UTZ7fA0YX81FhWW9a5t+AZ7mw57m1I8ZeH6JafxnD+4d8K7RzNsSj7btniZkDunJ/zOacS7oUuY1bDKkktayBebJb9ytc2rL23jbXSJximjt4+eCta3n92u7F+keGc9F9R4ZUOxGqv9/tj6iwoK1XG0Hl9UV3A6NSypRnvadSIPV4B9BdZnkTDsKzloTbcfgfXu3gXA/qcLmJRnFvEtL8JTJdNfxRPy8/FpZTW1bnJ9croXAPsKvL8I4mt264/9eyqSOdnguwqMF2Z8Pr21UsDYOAfjrY1PowsD/Kdsn/1xNinkWMviZyvQXrpYjEmTe3Cz+xJm92Ws3iuY3RfQzD95QPQn7U9OK8qCcXbKcfKQk+SBkuE/SfZVDCW3oS77ugLBN61LK+D+kmLaS3T0H31+ZaKolZ4wUOD7IYPsmOEKhBdAPiur52E5VbSNDVUs0LO2aRodBdofxHc5S/fVPZS0rrXJri1A/TV2FWB/jb61p1SVPml/cttPBTgv7W/8jb/B3/k7f0dd3AR8/yt/5a/wV//qX1XLf//v/30VpVrov//v/3uile/f3/ybf5O//bf/9o/zbf6pbZ+A85+0P8r2b6bf4e8c/k9sWG3+r5f/Uy45H27JsH/7mK//+rd5/be+R7AI6V29RLb5KsbOC3z6JZcvfVqnWX9C1k3Yd7cOiX//6wR/+Lss998lKVJOe03uv3KV1p/7MubLPb7HXe5kD9UD31VjR7Hq6/efU/L39+4JkAHdrsb16ymz6Jt87Tv/lNPhKVf2LvOLP/dlNtuXuH37iO98+y5vvH7E7CQjnkpCoMTohSQvjAlemqF3ffr6p7D0HSZRyWIcUpyYcGSRL4RZHFOKt7UXsatvsBns4IV9ahlc1g7ZaRzQeiFg/mqbw6s1jkW4c1ynPu7ihw2MzCLRhLVqkcUWeaGj+cKcNmkYHl6tRO+Myf1jGI5wjguMWYsyb5GZNbTSximgHmV4IntX5MTCAjY0Er0kISYvl2jFnDibcxrm3JoYHE8l4eFT6HUc28bxNYb9M866oPdbWJbBzdzild2Yg+LbikVvbL3Gp1tfYN5rklLy5fa3+bnDLW787mWVRI6/UONrv/Y7nD7YZ+nP4bU98p9pM7lcEllghDnGWc7upMunvWd4rudymtwhzmaMDZN3oybZfpcrhUtpwNsD+J6Yp7sWjuNyuVvjaq/OzQ2bm10byyh4ZzjkKD4h1RdMg5LbRzZWNuHnX7mN2xiI2yFW2cDQ2lhaHS28zPT4Oe7vG7x3J+D9twPiUYaRluy0DTZ3XZy2AJvie1s9yH9UEwAqEz/V6VwxqyRKUiSZLlVi1iptanqbhtPDoUmZeJipFEhUCQABL7VGQdmCtAOLZsmxm7BvRoReoaQsn93wea7v88JmFTfEyHh+Sjk7oZhWUboA8iJXOQjhaJwwDApS8YSMY7pazt52i971S2i1DcJZnWBSI5y4BBOPYOQQSzFIZYqI1Sjx+rnqzmZKqk3JdEMBzOKJOA4yBrOC2RJEEdbUChyjwDJzLD1XwLcpxSqSFSxE7lJXspe6ksCUsY4uyUO1TfxyC7RaSOoFpN6SxAvJ2glZM6XwdBLTIkghSIR5JHUBOq26S7fuopUWpwcu99+tc3K7QbqwaNZLXnsp5bOvZly7milWVNXUN39hXEVpAgCfTUsORzkPRinzQUkxE991HWtuoE9MrKmNuaxACkl8Fk5J0cjQ3RzDzbD9DMtPsesJpp+gi769Iz0DM1Py9cnCIAsNktAkCQzVs1Tkfg0yYerIsWvoRLZG5JawDcbVAm1VSCsJvnac0oljelFCR3oQ4wkbWQDRUmOkWQwKkwEmA81iqFnEwkh0dHRHkh9VzB3ILEVtEoFcNiyXHi7OXAoVDJJ9CG+XTB4ok1Pl5LrRgd0tnZ2+ztaGMBU16q74bWcVQi09XXVJ6DmO6LJW3XNVXIY2D97RefBGyel74gEJ/Rsmlz5rsvdpDauVMpmEjCchk0nEwVnCw6OQo/2QwTBT7PxFJLYDGnEH4k2LXJiRRogzPmX3wRHXH4x56ahkc2nRwEJvOEQv9rjlXmdw4HPymZD3Pzegdl/jpW+3uHyvhleAtznFqr2F7R/S2BA1BPEBLrH0BKuYq2RtllXzcJ43mcYtJkGTWdAgWtRYTGpMwxZpbqMXYEapKjra7Rds78HWrobf1BRrcml7DF1RJfE5yl2OQp3lUvyrJflbKRfIWBUAyfcZL9CyELNIaDsRu52CvQ2D7Y5O3al4Wek8UtKtt+4N2ZfCHF1n7lgsXZ25yJ+6lhJvkeS0MFKtosRPM5p5QSurCnjaqchW63SMJk27h6Y5yntdCkKyRORIq6ILmW9Vr0AC8Rv/gNzlx2iVV7Uw6sXjXcApDcu3PtSbXhLFsk2SqXIuUMsSjVVfrZNt1WsMlUyV5bU27lputnxivH4/6/O7gJBhYTFLPaapwzT3mWYes8wlL8WTVaR8RSViQa2Y4UcjnOUZtXymmI1rn1mR/fdangLb/VYNr1vDl3G3Tq1To9arq7EA8rJebB0+6vsSYH/0YMjk4YjRQ4lDxg9HTI8m5/tAAP7O5S6dyz3al3v4u13s7Q56s850nDM+iZicxMwGKbNBzHCUMhxFhCLzEYtdR0YtT/BEaj+JcfIIU5IM56dQ+X5FilZ8g0XO1VJ/U4r8dN8j1G0WeckkLVmUGqGjE9o6ed2kqJmUAuwL4Gdq52C9irUL44vrfYOGp184n/9wTe3fNDgH6j8UyF+PL8jqa4ajrGf02pbq2qrj9CnEB3uZsDxeMt9fsDxcsDxaEhwvCc5CokFINI7Q5DgpUGoYlmtiuQamrStw2xBPY6WmIdsVTVKBAHJMfGhTCW2D3DKILY1Y1wl0TYH5s7xQTMVUvBmkhlCDlmPScoyq2yZNR8cSEG/ly16xJNc+7TweZf3qNZV0iNj7iKRtpQygumOoQgSlFGCvxk9sf/xndAX+P/Y6x0CzdEo5J8QCsGZVjKT4YBVjSfxnj8aq8CenCDPSIGEhigODmKNpxumyYJBoDDODESYLmbfqu1t18Y0WGyORsLY0fE+jUTNoNC2abZtO36W7U6O35dPr11RBoHhjS1GCAP8/aBMf6Pnth8ykv/9AxeDgVIGAsq+0Vp3SdlSRVhTEpKK8tQLWm3ubClgLBhOWZ2Nlo7BuhmPhNms4vost1iIyj/KMMolZxGMm8YC5GbHQEuYkLN2cwMmrdWZA6EQrj2Johy22Zn3VN2cb9Gc9moHYP63mgvzeIicpCo4NlwPT49D2ObDr6l5R5lI3CdiNZuyEM3bDGe0krO681FR72rXigoSpXECFfa2pg6Wi6OsXxsIwvzCWbZqxnre6+Aqs4up6IFY5ZiWbrqKozqj3aUBuKOBflNWkUDXOU078EYeNASetEaedEWedEYmVqvffWNZpL5q0Fk0VO0GL7rJFZ9mklotkuXyNq8l1wWt8TYlfA8HrdevtIp2/VseQXvkiVMrWUrRj1m3MhoPZ8rA6Pna3htWrqXXyHCZFPOo4krjqotohUSTiRRUklcKiSUQ6jcmmMo5JJlE1nsbqNU82+X1Wy8Fqu49i28Fqyrhatrsu3qWGep9Pnm+zrCBZAffS41WUdUmSMY1mTMIRk2is+jyZMk3GLNIp83Sq4iSYMl5MiYuQXCwsTDlOpbhhXeBgKTuA6pSo4Zk1PEvA+1VfjX2rhmt6+Be2y7qaVadhN6lZjSra9R+7b67cSymljvGCbLwgHS3U+DyOl9X6sSi8VPYZH6dJwWCapiSqV2oZMq7WJefbZP2T9utCiBL1DKfh47YaFai/0cLfbFPb7lHb26B2eVNFAfmlgPJik/PZ0VnKwVnMgbJlq0B7ua9PJG8BXNlxubJrMtcC3psOeDheUHNMfuHZTb78XJ+Ts33+8Tdv87UHAeOpi5YaNNOEl5Ixn4snvNaDveubuJt90sQkHMXM7o1ZPBj+YN//+py0kv1XZbOr8fn28+VSWTHYLZ/abofadquKO20V/Z0WXr/52H3s44D9AWl4QJGuFEh0ZwXYV2C96WyfS+5LBY6KqohlNVZRllfrxCJPFSVV26p169dX8bHt6jxkSQUhmnRl7WAraX45L8o2Wf/4smw3V6+XbR+uBvSxv/MsUkD9I8D+pGLdSwxOlc85+YW5btjoVqMaVyfSC+N1W3uTXFQIebSsPW392r5E7FyWhxUY728qEH4NyOu1nU/A+D/ipgrHwgH57A7Z+F2y4Ztko7cqwF6enVo3sLovY/ZeVqD9J/vgk/aDMPmPFVj/kNNkn+P0gYqT7NF1oWNuKHb9liWg/aNe1x8vAhLy25r1/iQDfpIPzlMfAqBvWDsKfN8wd1ZjidtqncjwfxjAX6kN3FOKA4fxXQ6Te8yy8QesAirQ/rqKAvD/OI4H+T7jMlQFD2GxUN+HZ9RpGWIhXP/kmOSnCJzP85y//tf/upJc/6gdu35b/9l/9p8pKfxPJsHHa5+A85+0P+p2EJ/yXz78/3KajPjPd/9Dvtz+zEe+Xjzu3vyDd/nar39byd9HuYW+8wL+3jN8+me2+eUv9djqfQhj8+CExf/6zxn/3m8Snx6S6RZRdw/r85/n8s9+gdvPZXzLu89b2W3iMqWjN3mF59k4fIng/S1uvacRBCWNhkazfczh4Ld55+5v4XkOX/7iz/PnvvTL9Ht97tw95Dvfucvv//b7vPP6EdOzjKzI0FsR+bNDimdn1LouNzufo3/jKtmWwZ3FkMlRRnhUkhzopIeQnJToS4tm0qNdbNEom/hFyVY+4IZ2xGu1ETs32pgvbhJt+5xYPsd5nfm8ThJBkpZMiYjLXDEmtcLGzB30xMEqHOUpKSBfaQnsnhKJjysrkomtYxcFnThld7KguwiphQmJZrC0LTLxBdZMbC0nyo/4x/MR0dCie5IQxDZao0O40eRBRyexPGoNg6u7Bi9dSsmdU/7l2f+LB8aclvOX2bpyhcLNeXV6yJeMIa9+6zncrGDwq3OsVyU51YEzi/B+wvF7M97ypxy+OGWxFWDoMX60JDuKiO+WXJ/7PHu1TXvDIDMNDmwX/azH5riFtoTFw5SBMWbYzXio9TjMuso717NNbnRtBdZf6Wi43ohRfsYyLjiduBwcz7m+d4vW5hhTX+LmYNLAwME3m2y7z9PWX+H+Uc4b/2bG974+YyHyvHF1rdGEYd3UMRqPWMhPAvYfeh2SZNQyrID62ZJ0tqBcBrSKOXoeKKn6WK8T6R0y8bJPHZqpQzc28YpCeYW7eoHvRtiNFKeZ4bRLvA0Nb9OktmkpJuXQ9DgubI4yje/eG7M/nGOEMy4Hp7xgljy7tUutc4UsqhGeaEQnkCoF+pVXUy/F2kyw+jHmZoTZjzA2Q3QnJ17GTMZzxnFMaArsZ1AUJllmEidiF6BVLK88w0pztKioepCjhxlamFbymuJ5KmwlkU/NSwLXYl5zmDZc5l2fZc8j8W0FXtniw+rYtCwbX7cZT0vunwRM5jFt1+YXrmzwi1c2KfD4g9sZb7xdsnhoYoY63Tp88ZWSX/hUwc1rVYFAlcgoV4kFG123VZSkwjjW+PqDhG+Kx/hZxMN5xKKMycxM2R6IQEDNNHGw0AoLT7fwNYsNy2LHzPDTCCtIsJfgxzZuYmGFFkZgoEuXYgQ1PdaioBVbVfdEDSBTgH3pJJROCq4oKiTKrL60s6oLmG+IT6RBfOZhpA1atQ5bO132bvj0r9gYIgGwnnJJTLmcUyxmlMsZ5WJOPp9TngMXGsVCJ59CPswoZymZABgiSepmJGZKamSgp5hGjqnnClyUBLP4+Dq6gWvquLqBLX6o4ocu4Nwq+ay+NFH2EFBxHaXiIYopo5ggzJnFGrNEZxrrzJNqLOz48bRLMG2TLuvkuU5sJoTekkgKNuS7MnQ831wBJa4CS0xX4517M27fWTKa5kjqJhMPAE9D9wt0J8W2E3rhkBuHJ7z2cMFe5OOUBqf6JsfWTbybFp3/o8NBH96+NyT7Dlx+p0Fz4eC2dNrP2Fz/VJuXvrRJ+4aHJr9/OaFcDEjGA4LBKelIkgoDWA4p0pgsKUiFLRU6DOcNzqYNRssmg7DBIGwxChp4usvVTs5eJ2Wvl9BtpuhaSpqnDJYJ4yBgGi1JSfF9YUhqNBumAuBdUqwixkoD9GhBMZ+iZRGmrWH49koW2SfzN0ntHpO4w9HA5P5Bzp3bkWJQxXmkpHwTsW9wIXQ05rZYqQiQb5AKnqGOHSn4KqjFKbUko5EW1JOcVpSwKQUVuoknSdu6h1uvZHOleyKL3JB1En0VFXtJhF3LrAJUFMgr4q0i9CpV5QL65ySRxuTMIw0L3I5HvV9TObM8E+A+V+C9JJqlEGC9LFYLAmpU66pl9brV8sXXPjp5r8GT6jy+HitGXJKSJknFjItT0khYycmjHiUkUcwysVhQJ7Q7RGaH0OoQWR0l9y3nH6+cUteG1LWROLZS18ZK0eCjmgLgpMBAfochbMj1WFcJ8uZGh8ZGW/Vmv0OjVy3Levmu5XNODycVcL8/Oo/jh0OlVrD6IzS3Wwq0r8D7Lu29rgLWxWJAPND3Q3iwLLg/L7g3zZhEUoxY0ixzLpsxl1iwlY7pJwPsxYR4MlPXO5n7SSIFRyZp5pDSIKNOlDVYRB3i1CMvNAU6yt4wmnItMykbJplnkohKjVMBy/MyV/ePUvAjfrtSACS9pufUjFJFzyjwtEIVOzT2Nmhe6uIKy9CsQH/pjrUe608sixS7hv59wH4lqx+cUSxPKRbHlMsTiuVJFUNJrK/uGQx7BdxvnwP3Kta3lBep8jnPCoJByOJ4yeI4YH60JByGhOOYcBQRSXHEOKJIL8xVSRLrGl7TxqlbVfdNbM/EcoyqW5oqPhFwH5nzkQDaolaRi9axsgaaiJxwnCv5/HEsgFhOtgIHxc+641t0a9JtuuKnLKx+KWh5zL/9Irt05fMs15dErjEXepo/BpiXsj0pKmBdvDcu0nh/yCaFQspmJV9Z3cQpiTo2E7VcyUBXaiTIsaSKSQSctShsm9B0SAT8LjXiUiNBJzVEylqk500iQ+7TjCoapurnYP4K0Bc5e8sQOX/wXY2Gr1NviIy0zfalGlee63DpapONjs1G2/xIID8LI+Z39pnd3mf2/n0F2ItSk0pey59rt9DqviqUlM9kSUGDvBXxgpfrbCCM/UdWJJI2sb02lvj/iu1S6lIGOtlUQG0pgrAUqOtfa+Ffbapo7Vok/YCmZ+Ik8co6YkIRTijDKUUwYTCOuXVq8v6ow+1JhwfzFnmpK1uDZzoxN/sZN/oaN7ZsarU6WE00q45mNSmF0Sx4s1UVX4iij6oFMDSFo8u1oVTXh7xSgUgTSvF3z6RILaHMRB1CLFMytU6K1mRdtSzM5gxdjm1Rp5BeN7F82fe50CHVa2K5Bs4j1aezmNksYzbPmM8zFouc5SInXBaEy5xEilyXcj8v+6cglueX3MZT+zynbhbUDbEOyxVYLJLzljoODUzLwDKkSExUJWR9xWzXNVHiUBfZlTKAWNJIwZuGbju4lzZwL/Vw5Vx2uYt3uYe91f5Y7OU/iibH6Bq8vwjkV8tRtW49FjBfKmcvNHvDx7/SVEC9d7l5Prb7/h+JLcxgFPD+nTPeu3fMO/eOuL1/xCJeUOgJnZ7J1o5Df8tW42bHkCdlwiwgTAOCbEmUhQTp8nxdlAXqPPG0JqB93W5StxtVXAH3/grIP19vrwB9S5Yb2Ovinz/GJuC8AvGngbr/qUDjpwDJ1cJ5EeJ6+bxA5sJYigPieUA0XRDNFkrhIxjOCAdjwsGMaCzqHwv1miSMqoLMdZNLgsx511FKR26rrpj4bq+Jv9nB3+4qAN/f6qhtosgzL11unRS8eSvge7cDBhMpfoHNDZPCiTmMRAFkSadu8aXnt/ilF7YozIB/8uZtfuPNY46P5ZnWpVboXC0jXluccmN+zJViim0auP1O9bnUfWB1n6juFVf3jOXFdetr0iPs/dHyxfH6BVKjJjXIjRZGvYVmimIfJPPk/Afk/s3fainA3legfbsC71cAvrDuizw4Z9anK5b9GrD/gdtKdUQpQirgXAog5byhP7FOX82JVIHRqJiq5UqS5GP/wUdg/RqwV2Mb0+5jujsY7o6KuvFBm6SP09T+E8n8FWAvIH6pEhlP7JhHP/DEtvX2p3lbr1/3+P2I2bpRydTXqgKJT9qPt6mC7fl9suH3yEbfUzGfP1Db5F7aEqBeMetfwmw/j2Y+Xb3ik/ZJe1oTYFnY9acr4H7NtBegfc1e9426Auzl7lsY8QtJnq2ayM4L2C4M+Ap032HDrJb/qH3vl/lMgfRH8b0qJlVMi6pgqWY0K5a9c+2cbS8gvqN/8HwrPyPAelgsCSSugHZZVuvy+flYrc8vvLZYfCj3wtIsmmaXltmjaaxjR8XWetns/tTL9e//tIDz6/aP/tE/Umz4119//anbRd7+b/2tv6VY9Z+0H26i/IN/8A/Y3q5uND4B5z9pP0qLioS/e/SP+Z3Jt/hK5/P8te1/D3vtvfYRbXQy4eu/8R2+9hvf5eH9KbNlSanbbF3p89pnt3n5tW32bmyzfbWPLf7CFyu23nuH43/yD5l+/fcplwJG9Kn3nmXj+U9jvXiZhzd0Xr804DvcYlyIPJrJc8Z1do5eobx9lQfvOsznJaaZkOvvcf/oNwnSd3n1hRf4c1/+ZT7zyqdUQkUS/3fvHvNbv/4Wf/iv3uXW9wYshMlYi8lvDCmvzWjVHT7r/1m+8vlfoPEaHBhD7iSn3I7OlIf2ZD8lflCS3rWo3b9CfXgZL2mtmFBzmoy4rA3Zs3N2Xeh3LLztNnmrw8KqEdTrLP0mITmhSJTnCZERqy62ObZmY5UediHsmILUm7PQIqaRTRw1yTMPAx1LkulBQm+2YGMyYHswVBJRaauvEkhD7Yj/MV9SHNa5dm9EfjZUycnRS9u8/9oWelqjm9f51M2SzXbOm4O7/P7gd7Gvttm8+UVy36B82+Ta+wn/RaNgN03Zvzng/V95C61eKnnyltFTso72dIP9dz3eLqacXBpQOiG1ckZDHrKygvhI50psc63TxDJsxqZFOGlSH3Zxjy2s7+bU9EP8V04Y7dncN29yN9/l9sJXvr3SNuoG262EVmPOdjvlmVadYAnj+E2KxrFivThpgpkaKnkiwGKZtdmwX+b57qu4lkk6zVjcj5ipnjA/iAhHmVILyKRofNtC3zJh04S+SdnUSAREKKSgo4ppXpCVufKZlHV5mRGk4icbIc6Dhl6yVTPY9qHvyK/JaOoCoooEcUEsrOWxQTqySKcOycwhnXkUpTgKaoroUzRT6ETQidGaAVZSYk9czEWDclanzFYMb6PE6qfYmxnuVoazWeBulbh9MG0DYp1iplFMINyPObg14LvBlDfrJceaTbaoo81apKmNg85zDZ3Pbll8/pJDt2djtsRrdSXzt/KLFjnQWZlxVMYcZksOigXHRchpEZMrcKqgqeVskrBFxIae0NIL7LzgnZOCPzzSeXskoDB8bqvg05smpd3i2wd9bt/uER56mIFG24v5zLOnfPaFY65dmmAYH7x9mSQG+4HFYWhyIHHVZ6lFVuhkhYmrm9jYGKWDp1l4mknH0eg0Qvz2ErMRgh+Ri3ysnVGorIxg6Tp2oitliMQqFRNZuiLM5jrOwql66OCtohu5OIGFHdpYoYkZmBihUfnZi+d1IQU38gskcVKQ6yIDsoT+jLKzJG8GJCVEIx8za+KZTRqWQ0cUN8ol5WwB8wX6YoERLHDzJaaRoTmcM+YRCdNSYFGdWGT5I4M8NijF5iMyMROLQreZtmwmXZ1xU2PolQytgkGRKTZsmktxhqFkbmulhZ+buJmJk+nYwkKLIQgyZtOU2TxV4Kqim6+6mDg0XI2WVyrv2KZdUNdFGcQhG3kEQx8yjYYbcn17yPWdEZud+SNyhDCkVoz8OTZvT+CNM/j9mcPt2GGxLCjGScVAU/7b0LRTtoI5l85mbAYOcbaHV0Kz/jb1zzW49GdfIKj7PLyTcXInJRnpNEYORqHhGjo1UQy44XLjpRqtl01yNyWYLggmc5YTkWcfUszOKBcj9HiCmc6x8iWunuMYInmvK8/ZvJAEmVmxvDRTga9ityAAm6hHW5awBauPmYqkfwpRqiHq51G8ktCX35NJF+neQhUFqHWlyIRnXNqNaLXA9k3wWmTuBom9wTjvczDrcn/k8GAmfqri0e5w9UqNZ2/UePFmjV5fYxDGHM8mHBy+w8OH77E/HHESWZwUTaaZrgAxAUy7aUQ3DGgt5tSnc2qjCW4oJi/V/K3cbEscsWqoGXg1E38V12P3wjrXk2twSZDfYBHfpNQdWrsetb1d0Tys/C4Vo70C3SWZLE+MCoAXBr9i9j7aVjH6K1UJUSE4OTwmXgRYGESLkGA6J5wt1H4M58vHk82rJv7LfquB16zhS8K5Wcdv1qrYknEdv91QhQmiqnB0VrJ/XHBwUnJwCsdDsRuozk29Zs5WJ2Ork7LVSuk3UyyZG6viAkkWnxcfyPi86CAjDiJmZ2PmgzGz4YTFcPpYotG0rEegvQLwOzRXQH69KyCdQyy+9g9HK8C+Au0FzFff40e00LKZNptMmi0m9QYjX6x2JAmrUSsyNouYrTJhuxRbiRm1MkArQowiRM+XlMsh6XJBHNuE2i5hsUWcdwgDm0gUWJYaSSDe7isG9ypZqps5hpmiGSlI16teaKkCYwpDJ9MMcikCWxG6c98na7fI223ydey0KMWn8SlJE2HiKzD/CdB+vdxwDa72LW5s21zftGkIMvcU4F6B9YvjSqpV4lOBewHst89BfMW8dyvg/uL9brpMHwH2Y7kHWfUn1kXj+PGiE8WeNvA6Lm7HwRXpfGGyi5+7SOxfkNkXaWsRAT7KS47ygoM05yDJGUuxnRRlGRp7NZurLZtrbZfrHZdrXY9+Q4roVh7xAqquQI1HChQfBIMU/nMB/MhF6eUCA14B+CtAX8Z5lBKOAg7vHbMcLMhFLnq4ZDGeMxe55tmSRMDblSKAaVpYjotli0+6R63XoLHZorXXobXXwu95ePJ9dFw8Yfh2HPU9RNNYHRPRNHkixkTDkHgQEQ8WhIMlWZQQpwVSvym3nArQ16SYySCRrgmILwpDAuibBJZNoI6RlZSyqVO3oONrbDRNtvou21semxs2m5su/S2XjW1PMZGFIS1zQiTx53cPHmPYL+4fVmCcnJt6LVyxtXBq6GKjFJsUC0gnBelQwO2KLWl44G+Du1XgbeW4/QRvI1JWS1oeUWYiwx+vmJWP8Iqs0HgQ7HB7vset8Sa3Rm1GgausjTY7Js9ddXnuepNnn+lyZduVOrrH5sLF9ghHKVcFVVVUcyG/UFQl8cMKreT1ol6T5kRJRhTnRHFGkuTKwiyOM8IwJZiFhLOIaBERL6QoLSYLpCdKYjxXdjtPvD/TpHAtCkesAixMUR+oOStJcQevbquCmMk0YDQMWMwjtChBjxOcNK1URrIEV54xkhRHz7FFSUp9p2tVmQLLKrCdVXfBcVHR9qq6RjkVi0JHafgg3fTUuJRkq0j8Gp66LpYC7Mtxlq/8wC8oXqhr30rlYn29lP0pyiyt3Tat3Q7t3Y4aN7ZaH6pS83GazDE5Po7e2yc5DHAXBvHBguDhnOhwroDRNfteQHr/clOB9t6VJv6lBq6w7aWy44ds8hmPTubcujvg/btDFe89HKv5IMfQ5d0WN69vcPNajxvXely73FHqcBd/Ps6l2G7OIp0zT2YfGEtcyDqJqcQ5y3SuwP2nNdtwHgPuHcNVjDpdlydzUX8xqmXVxcZLrCYeX5bx+nXrn63WS4HHo/GT2y4uP/Y3VusEpL34O598P8YTf6eKVSHuWklAPeuJfc/JmPn9E5YPz1geDAhOxoSnY8LhlHA0I5otVTFMlokiiDwHSLGYWL0ZaKJoZBnUL/XZ+vwLdJ65RLG5y5G2wd2pxffuhExmGXFeKZNNxNLKitjZNPmll7b4sy9sozkhv3H7Fv/sjX0eHJVE0zpe6dE1DD7bgGf0AE9yJqYUD62v7boqknJWvSrYk7GhohTVqOdZpc4k31E1VtL2xqOiSbmXkOKpyTt3mLx1h8XDY/XdWI0a/qVLOP0+Rq2pmOfh6YLl8YTl4USdh9bNariPWPd7EivQ3uvbWK14VZCjnwPqj4PtxuNgu1r38UAh2R8nJydqvLW1pdQRHh0P8oxWAfVlKeoo6QeWSwGG1mMB9FV8tCy2i3l8QhafnoP9utVRIL3pbq/irlr3Cdnuk/ZxWhHPFKN+DdZn47eV6oIwKcz2s4pVr3rvZQz/w1Vd/zS2jzpeP2l/dE3k5wWgV4B9uq9k8nUqJnzVKzDe1xs/0fOWsvPKjjmMH4H1h8ld9d6V2JIGPXOHutG8ALQvSeVc/ZQm13X5TJ5Rw9PXvV5Fo1ZtW62XogXZJnYAAuZP8xGzbMQ0H1YxGzHLJQ6JirWdTtWkYECB+EYF1lfA/ZOgfhdbf7zYppRn4jIhKSOSIj6PaRkTF5GKT26TKMUIwvZXP1tEJPI6Fat8waNdqD32TxWgX1BZqcYrS6A1KemJn5O2WCz47/7b/447/3X80wHOr9vh4aHylT89PVXJv16vx2c+8xlu3Ljxk3xbPxXgvKgTrCfKJ+D8J+1HbXKq+FeTb/D/OPr/cdnZ5P9y+T9h2+597J+fT5bs3zrmG1875vVvHDN4KGykEU0fJSm5danH7jNb7F7fUnHvmW0a7Rr5fMbh7/wL7v/a/0x5cIhu1NioP8t2/Tkcv452Y5vpsw3euhHyenufO9m+Amd29D5XBq9i37rJ4L228qkPoynL+LuMFl+jtzHjK1/6eX7pz3yZVrN1/j4lqfH61+/x6//wG3zz9++yP5oTeTHxc2dwZczmssWr+c/x5770Zb78q9eZ1ZfcSc64nZ7ybnjIu+E+s2RJeMfE++pV/Hev4ow7aLEwzOaqarrUIrG6Z7NM2SxCukbBXl2nv1Vn82oLf7fNrOlyaFkciSTnsiQN5OG4yveY8k8l/zQMp8Coh8zrMwaI312DJGxRZraSEu9OA557632eWWoY9U3FXDmwj/m9vYx+tkP7Xx8xv3vMvSzhnX/vKkHfY/PM5sZzLW50LIbjhN/+7gmLFOqXm7Bl0+zE/JlBm1fOQl7OFoSU/ItWwbvXJtR6E1obUxqdCbYXYwl7LBLmco+xeNk5Ol1dV0xkvRgr7+FubLGT+DRSmwSLWdgkP2uiv2Oivw7J6ZjEfw9j+z7NqzXsG59hvvtpTuw+t0Yp98eJKmoQPu1mM+WZnsVLGzXq5i0S/33mjqgSZFjLSubV1EvCJGURibWAsFoMgdApBAUvJYo8e8VwUcjzyrJXrEEFaFeys/LsLpK00oWNt5KuVHZ1IvEuWKJlULMMfGEsiUekpEXUhb5KkEgidJHAPC6ZhjANS8ZhqfykxWPTDGw6kUtzaeFODZypgTHWyEY6pmfSuOLgb+n42wb1bYv6joXflap2jWySEx+lJEeJivFhQnyckkwSRvMJv+UP+DebCUe+T5HWcQqPludyc9flxp7Bc1dMdnuVf6UkNhWAVCbk+ZJpMWOYLxmVEUPxFy8LAlVGUGCKFLqW0Nci+npET0/oGqlKWhZaQUbOO2c2XztweeNYZFx1bnQLXtp2cLw27x9tcnSnQ3wggLxOw8t4/uaY516YsXM5QteF322JS6PAU8pveTG1ePsAvjfMeRhIkUSlfFrPKxDZy0Xq3KShGXQtaNRC7O4EvTOH1pysHrCoZUR2BZLLbGinGZ0koxvkdBc57VnB4tjg8EhyDwWG5ZBoGqGmq+S8sE+ly3IgQKCmI5BlhE4ikviyTwsBOYV9oVEmGmWsYwhgH1mYoYkVmTRil3bs0ko8arkUlIhaa0lohSzdkIUdsrRD5rnIkUrlFGipvO1KGrgQlqBZdUk+l0riG+VHbmkZuiRe8iqJL1LqmcgIr+a3Aj2lIESAfHnPqjhEJ9cNcmFoCpLsVPLypaVRmpKzF/aXMMd0Gg2T7a7DzW2f57dqXNpy6HZsGg2LWs38yIcbkVE/ejvl/jciHn4jIpzkuH7B5ecLrjwbs7MbYWQxhNE5O1/GZRgxnS75emrxa/U+90sfexhgn8wZzHNOY4ciAGde0JC5MbeVtcIOc3r6GNcKcPwEv2URFhmRyH/mImHexiw71OM2lqi/FAWJPiPXB1jFKV5rgb9n07jUodZpVqBtu0FN/DwFvG1IsjbD1WOM5ZxkkLB8MGH5cKwSdsHRmNnphMUiJUgsdKeFs9GjvtGiudGg1nLVs0Ec5wxHAZNZTCAKHJ6Lu9XG7jUx6g30Wp156nLnQUGxGLPtHPJ8/5hnuwd0jBMFBJe6yIpvQXuPoHWTu9zke4M27x2Wyo3AteHZPUP15/YMdro6ZTwmO3md7PRbTKOUu7HD/cjmXmhwNzS5H2hEcm7UNGq6xq6tsWfAFgUbWU4nSSmDlHAeEyxigllEMBcAJawKNyod4AocEpBIpC6zWFk+yDEtzEcprBPWq5IWN10lb/l9vUcuzqm8YDKbYPku1559hka3pUB3AdcfA97XgHurrtjoxo+YCBEVHPGuf3iQ8+AwU/3gSKTGq4/d7+lc2TO5vGOcR19uCL7v58lVUch8MGE2GDM/GzMbTBR4L+tUH00eKzgQFmejVwH3FeO+Ta3TwtRtau0W9W5L3Veszwe5nBOUxYKAaKuo1uWM4pKDWOMg1TnKTY4LU7GQ5bzRyFJ6SUAvWtIJFrTjEI8IOx1jJAP0aIghNii1Os7mZeytKzhb19Adj0zUQiKdeAnRAqJ5STAtWE5ydR5QD8Qr71evadLccth61qN/VQpclkwPRwzuDRjeHzLeH6n5JfdJ4p3r74jcbBdnq4Oz2cXa7KC1G6SFpiR2xUM9zkoVRclIxtMg5/5ZQihVUUC/aXJ9y1bM4GdWXST3n2xlLnP+9BFwf5FxH4is4lqlx0NvXkFvXUFvXq5iY6+yDPgY9+HJIn0cxL8A4EeTmDwpVvutUIx82bdiISFWErK8HgvIJy3SNQauzsAxOHMNFQeOTrpSGHDzko04px/l+Fklu10xDaVIJhNJPHVNVHLqAsYUspyhycVObatUENTF70Jfr1u/Tv3KLMcoSxzLVoocjXadbq9Be7tN+1KHzpUu3Ws9GtvC0pSCBBfL/+hryw/TlDR3lJ8D9/E0+QCwH04EyJceEJ4tVE/iRBWzLXSd0DRZ6iaBZhFYDoFps7RccuVfXHkYixhOUyto6wVdV6Nb0+l6JT0voufN6TkjXH1INpuQznTigUV4Zlde7Kowo8DpJzibGaYUZfYNzE2D3HEII5tFYBOEFkFgEIQmyyUsZzCfSiwIljlhUDI3fEZOm4nVIBfAjpJuuaTHkj5LNvQAX8t+sO9QFZsVJLncV1TWMBJl2lUqBxdicXH5idcI6KxI5xVAViqLFn0V5V7EoPQcTAWsi7KLdAe37uI1XWpNj3rLo9H0aHU8mi2fTsejUbOp24bq8jz1/VqSFRzOYvanMQ8nEiMOptXyXNSjkhQjTujLddBCxa5e0NJKGkWBnaaqUEzUtaJ5oNjIop6glQJ8pegS5VpYxGil9MpSZPWx0UwL3fbQLVdFzfKqZdtHc3wMx69Uo5QtRvV5FmdzZX0yO5meF3jI3GtsNRVY31wB962dNm0pbNltY8kNwfdpYRgqC0ppv/Irv4InhVDqHFgQHS8JH84IHswI9+fn42y2Aik1DWfTx7u0YtlfbpyPra77Qx3LeV6wfzjl/bsDbq0A+/v7E/KiUPtWAHoB7AWsv3m9x+Xd9vdVUHlaE4W9Zbr4AIgvwP1FQD/JY8XOz6Vou5QCvPzReFXIvd6ullWUe/FH44uvXY9/kilbpTh0AbRf27U9GldzTvIOUnhFWlDGGUWYKNa/FGAVywT/RGdj0qKX9+mGbbzCVdL4ras7FDtXGfg7HOQt7kwszmai+JIQ65FSG9vdNvjVz2/ylZd3wIr43Ye3+Bdv3+M9IUhMaxhpUz2zK1WKVcK9eo88Gq+iel6Xp3GjUtlRgP0qupaOZxtqWVT7ZCz9pb0GP/d8m42mTTpfMnnn3jlYP333niquEoC98cxl2i89Q+uFa9Qu7ZHHhbrvXwP2yyOJY8Kz+aMqJrH8abjYTU9168L4sb5e3/Kxm66yNvl+x8yHHa9/1E0k9PP4jCw6WvVjJetfrrygRcrfOAfrdzCdCrxXcvqftH9rmtj8LB8cqbG72cXpNNV16aOaWOooKfzhW6SjNxVgXyyr36F7Gytm/UoOv/1sZWHzp7T9uI7XT9qf7iagtCgAiCS+gPbCePcVyP50oN0zqrGtOX8sxQZiQXQRrH8UxypOV6D+WgVg3eR9upqnigliAdef2P5hTT6Co3lYuo2tuVXXnfNoaY4qEDA1m+qp5tG/qq2WpKj1XPV0VWC+Ws9TfkqtK0umsyn/1X/1X3L/v01+usD5T9ofr6z9eqLU63VeffXVn/C7+6T9NLS74SH/1f7fZ54F/Bd7f5kvNF/5gX+HnHbuHJT8/rdi3n3rFGN5xoZxRjk/4fj+KfHKW03AeQXYP7PNzrU+bnLM0bf+F7I3v4tR6DR3nudG97P4E1Ox1LVeg/z5Le7dhG9dHfEGd5iXgbgqc33yCrU7L7B8b5vjhymT+ZBp8F006xaf/2ybX/3KL3Lz+o0PXLAGpwt+/R++zj//J69z52zIojEjfvYUw1vQfNDiWvwCr/zsK/zSr7zApz97DcM1uJueKcD+W4vbfGd5l5ODDN7cwn/7MvZZAzON8IojOmXCKNIZh3Lj5VCkJWaW0Sdl28zYdkp2a3Dlao3Lz7dINh0eenDXhoeUTOYZVuhixx7NpImTO4jwpaYXRHbBxM4ZaS6RJEMWMy6/9T4/O3Nxa5tgw0HtkO9+xuTP33yGxv90wvf+cJ9/+KzLgys1vG+M6M8tPv2Xr+Buw+88+Dq37ixpGz9DmW1haAXP7+W8YNTp7y/YKwNqtsZwr8HoRgPhkA2jOTOGJOYZXmNCx59TbAVM2yaJaeAVAsxDLRXAO1Vs8t3Epbt00TObZd4kCLoUBx72H+oU7yUMw/c5ib7NtLiH4bh0Lu3RvvEc+d41ps0+x26NOzGMI4EVNXq+zXZtRrv1gPb2nF47pVvaaOKlXBToIrWs5WhapjycNU1k9iom61qmXF+xQbW0YhqzNCinJsXUQAstiG1s18Np1HHbNVzx5xN2kyWqAHUhBHM4z3g4SXk4TXmgoshZ5+dMvt2mxeWWxaWWxZW2xeW2xYaS59Q+wicPxZZSwLsA8Ecp0XHMcpySaLmompLXoOxrHLPk68s57yUap8Iijiu/xu2uwc1dnevbOc9sxrS9FFtLMImUFNSwiDgrMk6llxoDKV5YAcYtLaNvJPTNmE0jZMMIaBmRYmJUSRwBMEz2pzXeHfq8dWry3kAjymCvqfPKnofv17l11OLodp3kwMVcajS9mFdePOTll/e5eu0Y3UwpRIpv6VAOmpSDBsuzBm+OWnwrdrglSdpC58rC5XLsspmYdAoN085IOwFhJ2bZjVi0MhatlKUvegaSwAEr1HECDTvUMKMSOwZdgBq9YLrUGZzB+BQWxyXx/IO3SyvXOuX1quulYvMr0oVWqiIQY9V1YfmbpRDQ0MxSyBWUko+QLkUBtlhVoBL3FEKnMtBTk/rCV7258GgGLo3QRhNQtNRYOhkLJ2NupyzcjLkpig+rW0nl15qh2RmGSLxquYo18dgVdqhjUnddbL9OzXOVTK+nZ/hagifFQ3mEL72UAhvx2a5oqklmE2UOie6R2B4L32FWcxj7Ng81g0GgUyQGpqrMNdioGVxt2uy1LHp1sSMQAKJiaX7U9eHsVsaDb8aqz08LbF/j03+pxgtfcc8lyZ/8GVGi+Nfvj/mf7o24HWQ4Scb1+ZTG9JiDOOVuZlPMda5+20E/lvm/IC9DFsrgtaDUSxINUsUCLbDKXBUz+IVBs3BoFD6tokatcNHVa2Iyxlj6GMeeYdSWWL6G6RmI6p4qbVByvQnBcEEUF8RxSVaapIgnrIUuTEvNxPF8fL+BKw8VmY2V2jTbPvW2S61r4XdkUlWfNVzqJJmJ1q7h7DWpX2vQfrFO7Jrcej/m9vsR770bMhsu2bSPeXH7iBc2Dugb+1iIB3BJ4fegc4VF4wZ3yuf49miTu8fCLoS6p/HsrsFzlyrAvt9ayVw/8X0fL0Juj2fcGc+4O55zZzLj4XR5/gizXfd5pt3geqfJM50Gz3Sa7IkUe5yes9ejRXAu7a6SM5pGMhowfTgmizI854i6/iaGIfLFNkZjF7N1GaNZdVNYyPKzK+ltxXJSxVM6cZLwu7/3u2rbL/7iL+K6P5zM5h9FEyb98VnOw8M1YJ+zf5iRrArbN7oVYH9l11BerJd3DWpiq/IDNtkvy/GsAu/XgL0w7y+M58NJxWhbJdxbm116l7fpXdqie2mT3qVtunubqujk+9mPHS8y7owS1e+qnhJfYHZLctu3NXXe8ZIJXniMu9jHTUb4eka906exeYXmzjPUu9vUHIOarVOT5LgUABWwGCbMTmNmJzGz04TJYcT9b01ZjlLcusm1z7e48cUO1z7bwnQ0pQwwfjBk9GCwikMV09V9pbDK2yuJ/+7VDSX3373ao32pi7VScFLszHHG7ZOEuycJd6SfiiVQ9dm6deMcqBd2vbDsO7UP92OtgHth3J9QzPYpZg+qvhB2jADeokizXQH1CrS/gtG6guY8Khy92MR+QYC3qotFTzUORstzBYl1vMhqV1K+5QWG7YqhLED9+ViYxiLHn+TM44xFlLNIcxaJMJgzdNVXoPqqXSAknAcpDFP2J44o4VhodhWrIq8qarattsu2XGyOioRpvUZtp698wtet4Rj0RIZfdfN8vFF7fJ31IzCCf9SWhhnzgwWz/Tmzg8VqvGDyYMb8ZEKaRMRxRKwVhKZBINfwQiMybCLDIjIdYsshFNUFBSjJedfAQywdSqWAU9gGuamTG1I8IQWe4vEs+66sii5UIUalHCLXa7Wfz1nt1X3DGqSqPIjFn13HKzN6SchGFrCRhXTyRKWyLjYpxLOUx7m5usYJ81xstHQC22Bhaix0jTmipFQyk/ewslEQIL0QQF1uS8QmR9cwNF2VWErZqllqYiiEnpeYBZh5ibjuGGmBnhQY0uMCqyixyhJLlIxkXJTYuax7NAct38KuWyupexnbOKsoy46Sv19tF8uIc0l8S50bftCmknRRpkD6gwvA/f4k5mieKEsPaY4oU7QcLrVcLrcdNW57prJ/kp6sChnOYyKWDQviaEEUBSTxkiSOSOKQOI2r7VlBWkoBqE5a6KSac6FbSs1MzqMyf/wwxl1E2PMIcx6hT0KYBBTjUKmZGeL3KwVQbV+B9N29Dr1LXfpX+rQvbajiGK9VSdVHUcRv//Zvq8/1ca+t6SwmfLgC6x/OCNfg/eH83PbC8K1KGv9yE2e7hrPhKXl8p1dFs1EdGx+nib/9vYcjbiuwfqiA+4PjmdpfAtg3pIDSd2jUJYolg0295lRFGzWHuqyXsW9Xr6k5yvP+J82gewy8fwzklwLqVRGAWv8E0C/rKM7B/vIpxQPr166T0rKsTLqUGsTFRHa1/Nj29bYn1q1/tvrdGbfvv8Fbt77ObDpQxd8b/jZXGjfZWHRo7BvY7yfoafV8Fm/sMeld58Tc5N25y1DssaQ42svY2Tb4ymd7/O9+QfzaUwXUvzM8Jslz4jQnzqQXxElBlOXnxXdyzKjjRtTdcylC1qq4KsgXRaoqXliW7blOGrq4psXVTZuffa7Jr35qmy9e21F2FlI8ubh7eA7WT96+S3haeR17/a4C69svXqf94g3q13fVvaoogwTHUwXWBydiFSTFO2KRF1VxLuOQdLXuaYpHUgxgtx4B+k7Tx2peAPYbHrgG333vTXTX4ud/+UuqCNj0Pv6x9KPO2SKbkwtYHx+fA/cC4lclXBqG3TsH7M9l8c2Pvv/8pP3Jb1kQsXhwxOL+0SoeKlA+Gj6SDF/PYafXxut3FFjvbfVwN1bjza6yqzCcDxaNFdFYMevTtRz+6B2l6iBWC2b7JprdUJYLUtitirzX4/N1Noj94WPrnMfWV/GJdeoe7Y/vXvOHub5+0j5pfxqaXA8ktywg/TwbqyigvTD+hZ1vaTa2LkD7I5D9g9FRrzEkj/YTvEb81Mnaf9L+dE2UT9on7WIL8oj/+8E/5Gvz7/Hv9n6B/3TrL2Aq6a0fvB2elXz1zZx375f4LvzMixpX2zNG+ycc3Dnh6N4pB3eOmZzN1Osledrd8onDu/hn77OpB+xc2+JK9wq9ook+ztETHd1tYD3/DOMXW7x1M+SbrYfcL47Uo8D27Bm6d18lenuX/fdSxtMRaXGLze0Zf/7fucYv//zncZwPyqzcfnfA7/zau/zLf/4NDqZDwv4AdoY4yxT7fWFaNrl04zI/83PP8unPXOPZZy+ztdlhUUS8Fx3xu+M3+eZ7p5y+UcN4Zxd96YI3x/FP6CQzticx/rTgLG9zUrSZhDZhJMmqArvIaWuZAu13vUKBm9uX6zQu2ySX4UE34W0v4k4usosOduDTS7r0Z9ssaDCyDEIjYzw74rnbJ/z5sY/v9RRAeK92yDe/YPGfXL3G9X894X8YzPhHOybpnQn133zIs790nUu/uMf71lv881t/jxrP0tr+S9iTFs00oBW00Q7r6NNMgXhds2S3b3PlMz6XXvXZ2hSf1FKB0SejjON3ZxzpDzh9dp/55gL0BD+bUs/muEaJZ9pcLursCGM8ckkyn2kmHtVdGu/W8b9ZeZLF3ruM9DcZLsZMZiaLRbnyotKwnt0j/5kXGXd6nIUeg4WnnI4xArqdBf1epOabvFZg5ApKXo8rQF6SkyJRKYzwCqCXKMvim7zyyUwqtphKvkuyOq386dLc5DRsqD4MmpS5aNMbtCnYLgt2co3t1GQnsdmKPcysAh1VNzQKo6S0NXKzVKBtYQlmW6qYmyhZzzDKSK2SzIPMLylaOoVfyZlnWsaDk4A7ByH3TgtGgYluFGw0Y17ci/jU5ZDntyfUnLlixM+KgqNckuMWx4XDSekqBrh8GFPL2RDwXY/omxEbRsSGmeIYNqXmKsnNXHeUNHqmWZwsTN4+0Xj/FG6f5IqBKDnPK32HfruO49Y5Pa0zvuORHziYC52al3PzpSnPvDTj0laIPTbRTxz0Mxt94KCfOmSRzttuzLdrMe+2EhJHo2ZZuJaN2SwxugGGm1RiB8L4F1aVutEBXRK5WYmVltipAEU59TjHy3Ilr28UsBxoTE9gfAyjY5FcrhLkG32DrU2bdtPCcy20zKDMTaW0IJ7pK3f5CjxViWix7ygozZJS5O9lv5nVcibYu2GQSWJGN8k1UQKQ32VSys6VX7L6HZWyknrzSuK5NAQMyfDmJd5Ywx/reCOD+sjAkKS2zNVmjL09x+gtKXsBSzNjnOuMdYOhbXBsOhStEq2e4+gZHW3BJjMuMeNyHnMlh45ex/Y2VbecDSxDPGxtijAkPVmQDcX3ck4azimyUKkeiZi8APK2UyNqepzWTQ5Ng+PUZJH5JFmDomxQKpksi46vV2B9Q/tI0F7Ou5P9nLd/I+T934roXTf5M3+9QffKR1fF35tF/IP3xvzBiYDiJc3MpJen6OER0+mQ+G2HvW82sLw5L7Tvsz3NYJwp6eLI0AgdmJsaY0qGonCRmQS5yay01Byvi9JE7tPJXbqpq0AGrSxYIl5dM5JiSsIUTY+w9IJG06a716B/o8/WtS79y226uy3FWBM/cNt//HojDNfkJCY+CokOIuKjgOR4QTIMIE+wGwWGU2EuUQDTgUGQu9Rvtum8WKf7Yp2y73LvYcr774a8/17E6UlC2xzy2t4hL2/u0zf3cbOhwk9Ku6bA+ln9BreLZ/n2ZI+7Z4b6/Z26xvOXDV64LMx6U4H3H9YkMXp/suDuZK5A+6rPGYrigZTq6DpXmvVzsP5mt8mL/Q51Ae2e2O+zgxnje2N1DLS3Ujxrn3J+X3kRlnGV3NGdNnrzagVmNoSBfPljMZD/JDQBSk8GhQLrHx6sAPsjkW2uHss6LZ2tvs5231B9axWb9Q8WS/wwAP7o8IzRw2OGB6eMDk4YPjxhejI492J1PJfu5S0F2ivAXoD7vS06u33MJ/bX+WcqSw5nGUdzUYQoWSYFy1SA3gsxKVgslyxnY+YLAZ+iaiIbJppTR3MaaCLbrRv4loa/AusfRQH2INmPWb41Z/6myCnHSsWmftOn/WqD1msN3J5TKdms7NKTRcRyMFeFMsFgzvJsxvJsrtar4jvxHez4dLo1dn2N7bqF36qYuG7DU3LXwoI+iQ32Fzr3Fzp3hzmLqEqYC5t+Ddg/swLse40PB+zVvshiivkKrJ9WPTp7wGKUKIZzEHoESZdl1CBYuiznhlIUEOnui81puNT7TWqdmgJb1ywkdT+xAkjXRU0CjlZKfisv+RWbVr3Nx9atGYaP1hm2ie3bqluexEoC3PIsrAtjWf/DSmfL/JzHOaMgZRikjIKMwTJlHKYMl4/WSVwDnx8HxG+5Jv6KESnRVx7hP9qx9HFbMp0yffc209v3md45Yf5wxOwgZHaqsZjK/WKp1BxKU6N0dRa6xVxKJG2P2PZIDbkBLJS1iFIZEIUBuWcVQFUAd1GPzjVVnCDnWPE8dxyLRs+n0a/R6jeob0ihl0uj71Lf8FRs9n0s11CWDtJEUSENMmWzIDGcJ5xMIo4msWKNnywSjoOMszjjLMlZisT6qrBD7q9acU4jzGhFOa20oJ0UNFJ5filVF+BdCTKLnLRrYnkC9JuYrqGW12O1/sLy015bvUZAsUpNIlkkJPOUeC4xWa27sHxh3ZPWEOsmlhBPAvYK1K9bWLUV6C/9fPz4tifBfZHSP54nFVi/Au4rtn2k5vDTmi1MXkNXc1OiWhZpbqPavxe3G3mGES3RkwBdYhSgx0v0MKCMAnKtIDUgka5L11SxdohJUJiEhUmQGSQBGLMIax5jzgS8j1W3ZhF6lFXPQ1qpVJL0lo3VERluWymf6I6v2Pu6W0N33KrQzjTOozCTqyiFINV61c2qyxw2ZynmJMEcRRijGH0YYi8yzGVabZdiDl3DEguPvl8B9hs+9oZXxX4VHZnPnacXcEoLwpS7D4aKVT9fxKovg4TFMmaxTJgvY5areO5JfqHJuaLmWzRqDjUB8Gu2GisQ/0IUEN91LFzXxHXWvVq2RUb933LQUc7xDx+8wzd+7X/le2/+Gx44x5zuRuj9Gpbnsq1vs5Ns0R3VaTw00d8PCCdLRjQ4trc4cHe4l7WYFQa5ZdDbsfm51zr8Oz+zweUth07DXh0/hjp25Lh5UilBqaMUBWmRk+SZimkuVnXFE8uyvXrNneGE33t3yHfvRBydVMC962dc39P4mWdr/KzYKXQ2udHZoOl4CoScvnOHsTDr376jbEoEkFdKAS9cPwfr2y9cU/L4j72/oiCPRHFA1HBSsjAmmS6Jh3Oi4YJYxpOAeBqQTEPSufSVpccyIV0mZKJYEIv8fFUopVumUqMSmwEBO+22j9Ou4/YaSnXEqjtYDU9FYehbNVcB/lbdVfc/67H0H8Uao/p8KZlI4QtQv2LYC9O+LKp7G83wHgH2ziaG1UG32hhW+6eWab8uMhdmeSrKKouAdBk8Gqseki2W52OxY3HE7qbXrmJXYht3o43Vqv9YzjUyRx8D4R8cKyA+Ohur7fIeBHCvX92hfnVXxdplUUzQ1WvCsxHRadVDiWcj4lFVSLVutiidKaC++xho7232VLSawkTJySe3SIdvkk/ep8zFvkcUaRJlzaDG6yjr8riybJDlH7BJ4azZfg6z87zqRvs5dK//Ez+3qwKuKFbzI5uv50w1h0TtI1uG6nxiN2qYDb+K9VVs+Oo8JHPqJ/05Pmk/+aYsgEZTwqOBOkbVNaNZV+cVFRui1vSTK4j+SbefCnD+v/lv/htVASR+8p+0P572CTj/SftxNTl1/PPR7/P/Pvln3HAvKZn7nvV0ls/HaaNZydfeLPjuLfHohk8/p/P5l3SViJa2nAUc3j3l8K6A9scc3T3l4N4J49ER8XLCRjfi+Y2ET9c1NnDx5V4rSNBSDcP0MVodyis7nD3b4J3n4Y3umGFbw4l69O98lvm3e5y+Y7CcLzGdE159zebf/3df4LkbWx94r0mc8a2v7fPP/+W3+drX3mOSTSgvDdh0FvT3NWYHDcaOid2psXWlxyuvXuXZm5d57tnLXJcqa8vg9vKI//mbb/HGd0LGhwbFuIkeVb7oppnjNxdsOwG7An6NCoZzg/3YY5w4FMtUScSZaYJd5thlQd/I2LRzNt2S1oaGtasRXSn52t6CwLjGi/PXmBRNlrrORFvy9vwuXzjI+I8GLr7TJTcKBdJ/7Qsm//v+JWZfnfH3GiVxmmF+7z5GEPPyL79C0Ev4p/f+HsfTh/Re/At0+z+LdlBQG015rVPn+fsbLA9yjmOLk9AiFI/ltonZMtnsG+xumWyvAAdnqvNwf8J7m/c5u3mCXSvZwacWFET5iLFzn21X59LSpD330FKHedZgnLbQ9ttsvl7DH6R4nRNqzzzAvHzMLHWZp32mC4/x6ZzRcEC2qeO81GdS+hwcaIzNDjPbVnLjlWX4BanWC/ejSrFXZbHXgrQr9e/16+QF6+XzK2l5Dmh360v6jTn9xpTNxoR+Y4JnxGiIhOU6Mbf+HQLyWuTYFNgqqnHpVMulQy7qClJNUYo8fokunt1GjqEnoCXKc1F8OYUxIkwIU8+wjRTXjHFNkdjO1PuKcjjLPU6yGmd5jZO8RiDAsAY1LVPge88QOfqMtlFQVzfp6woBR3W9MNELXbG4Z0HJ7WHBrWHGe+OcqbDPNbjc9Nls1PGcGiJyfDZ2iE8cSmEtzwyaesErnZAXvYjrwjCf2xQzmyLRxUqVeS1n3kt5r5/wbjPngSvy7hqaoyuvTtMolZ9nzY7xzRC3jPCymO4ioTNP6c1iNqYpnXmGJ+wyU6PQNVJLZ6Jb3J663Bk77J9ZDM4MUpE4MCuvVntXx7pi4lw10BsGlg9SvLzCNVRCuFCEdDHULRXjSwpTBOQ3c1MVW5B4kDiUqUuZOhTC3M4sNJFcVP9EJb5U3S2lF6RJUrHr4oRYS4mNlMTICa2c2MmI7ZzYKkjMglz2vXQtozG3aQw8GkNPxc7IxY0NIetjNBKszSVaLyCrJ4wXcDQyOJ7ZLCydrF2StjSKbkHeKdC7KU4twNcDGtqcDhO6xQg/npMtY+ZRziiCRWoQiJpEbOMmNo3copnpbGYee1qDTcOjpxI5hmLYhaLmUEhiWADuGjk10kLmnk+oucRalQyqNzy6TeMctO/UJCmtcfJeyh/8vTmz45yX/oLHp//DGqb4VHxEOwlT/sWDCb+5P2eZlPiJiZcYOFqKfXCG8Y8TgjLn/ucXFJ2cl2YhL5wEXDle0hlE+FmGbZU4Ow7W8xtYn7tG8dp1Is0hyHTOgoy3D8fcfWfO7E6E9hBaAwsv0hVYEpEx11IWRsrCjMlX81ezK3BC5PQbXYdax8avmdR8E983qNWsVZRls4qr7Y4kqmcp+eGS5GBOfH9MGS4ViB1FBsMjncnEJM90ms/U6LxQo/tSA/OSx8Gk4Pb7sQLrDw8SPGPJZy4f8PLWPlvWAV5yJEYGaIZJ2b7E1H+G/aDF4ahgtqwURQSs3+2K6obGZkssDT7oN3zBcFj9H6YZgyDibBmqOJAYRgSFxonRxGjvcWn3Ci9vdlW/3Kyp5EAWZ4zujFicLnGaDhs3ezgNhyKeUszuk8/uqygAp0qyKAbyDsYKsBe5Q82sockBbMqD5A9XRPjjako1Ylhw/yDj8CTn5CzneJBzOljZTwgLy9VWYL3OzgXQvteRffGjJVTyLGN8eMZw/0QVSI4OThmuAHxROfgwtn13rwLxvx/b/mlNGMWL/XeZPnyL2f57LOYTQlzi1nWi9g2i5jVCu6NA/SAVcL/yj1Yk8FVBQD5Oyd5bkr+7pLgXVkzMTQee8ylv+pRbch2tVq+JxGvZ7CzLSaNUdVFrEFl/SaDrWU4rWNCYTmlOZ2rcCpeVisiqCYtYdx1iswLuZ6XJODMJdfGydhRovrNd4/JenatXGty42qBtFcpXXbHeB7NzBvx8xX5PxKNWJQ9jBd57Xopfi6jVYsTStt7SqW/3aezt0rhyjea1Z7H719Csx5P7P+1NjhVh8z8J2AuoL2D+aL5kOFswlER3KknZ/NxOQ7GehLmtVxLGSqlBpIstk5pjKisiz7HwbRvfdfAda6XmIDZFFbDvqUKRR0C/gECKObo8XSkjPKwKLmQcVgxKYcJrjT2ljiDKH2JrkBk7LAby3LBi3e+vWfdz5mcz0jhSx6XYbRimheU6NDbr1DZreD0Xf8Orek/io2UBsr/fsbj+Dk/miQKRBYCXeDSTHnO6SJTEvHrvovBRs9htOmw3bXYaDjsq2uw0HVUYsf57wt5fA/xyTBkiHe9VgLoA4D8qsPMjJ6/jvALtBaxfxYug/mPblhWgn66A/TR4uo8nq6KDp4L5sq5mqrhen7tihyQ0OSkoz1UsQ3m2y5UKQxZmj2Lw+FiifK8/1OdXdicads3AqhlV9HUKT4p7NQpXI3MgszUyS1hOGcF8qSxpQgEDxwHJKCAVJm+aUKZSmCyKG3KClb8g9mByLMgxVvlkP3438Oj24FxC9MLtw/p5Stlp2TaG52FaDpZpY+kWjmZSQ6dW6NSyEjfMlXKCgPfSpcDT6no4fQ+/71PbqtHcqY4XBeavAHz1Z9T7rgpMlNLEaizrwyBVljwLAfCXierBcmXTI9sCWU6IVuMwSIjClFSev0SBydLITF1F6aIeIU2OEQXWu6Y6x1TjdTRxREZ9vbza5jjy2grgd1bH2cX07fn3qa5vj9+LPdq2uvg9tq38wL6QgmTDlAIfec4Sf3ody6qsq6p1hlovY1lnyVgKwn5IMCcPYga//m2O/skf8GBxj8HLGqNPmTz0zzhcPFDv0TV9rnrX2Ik36Y7rNA5sklszbj0MuZM0eZi3Obb6pKat7C8MvcAyUywrxxTrP7eU2z+chondtDFrHpYUmhmVpYVlPg7kqyIY84PxUsfnpd02V3o1pmHMP3vjgH/15hnfurNkGiRkekSts6DRC7i6ZXKz1+dmu8+NjvQNtmyf+e2HK2Z91ZPpQn0PAjCyBuTjRN2DfJymCl5sC8N1FHgiMvcSdcfG9MQSSgrAdcW+D07GRGczovGisrlRqiuVTbxuy2st+YXVMasUBWRRVL4E1H/8emL6TgXmr0B905W/bWK48vctTBUfLX9wncTqZ9brdVHR0ZfkwrCPj8hCYdsfUSQC8j6avJpRw7DXYH1HAfZr4F63Bbz3/tjBRZHwF0WAIpUi9SlFOqsUArLZat2MPJ6QLueUuUOZOOSxTR4aZHOddA7pFJKR2A0KmBoq4PTD9rsUdAgYJkCqVRMQ1VfzWNjpAqBFgwnJ+HFAW6kqdJor4L6N020p0P4RmN/G7bXU3Pk4Tebl8uGJAt5VV4D88blChLRzEP7Kql/dpXZ565z5LnZZwdGUxcFYFVH5m028raYq7rzYiixTn+kcsJcoIP7ZmOhExmOKNH3s+1GM+xX7Xpj38v3IMSBgs+G5aqyivx47an6r76zIKou1J0B8tW4F7l8E+YvghGz8LtnkXcpoVYTgtM/BetXbz6N7H9/+9cnPrwB1AdkvgOtV4cZyVbCxKtJYg/Ar8P3D5pB8bgHfZV6sQfu13c3FJvvFqtew6qt51qhhq7m3io2aWq9e01y/TqL3bzVY+2FNvuN0NCcdL9GkMMqz0eXcJ+oloiD2EyyEEGul8HhIeDIgEBD+eEhwLLEayzz8sCbvWxV2rMH6Zg273Xg0VrGO3aqtYl2da35aCj/2fxrAeanWlx2ysbHBl7/8ZX7pl35JgfWvvPKDy2J/0p7ePgHnP2k/7vZe8ID/ev8fkBQp/6dL/zGfqj/7I/2+ZVjyjbcLXn+nUJKvLz2j88VXdPqdD57MRWLz5OGAW9+9z7/6F3/ArffvM7MD9Ody9p5z+NL2JV5N2mwfLsnv7pMdH5Ev5hVryLNIfZNZ3+FoS+OkU7L06xTBcwwfXOLoYIdF1qTTz/nZzzX51T9/lf7GB29gR4OA3/mtd/kn/+Kb3Ll/TOLMaV+a87koZfdtk6PY4UHNYVJDJQS8mq0A+ueevaTA+ps3LtFu1xmGI/7V3bf56t0D7h2EzM9c9EkXayyMfBNLM2kIW74vst8aVm4wnsGDacZiHqNNFzjTMcUiII5yDPEALcHVCnq1hHQ3xtnrsHHz80z9LcUQfVCe8lZyyp891vlrpyaW0SLXc+76h3z1CyZ/0dvhfzkMmRcFnwsTftt9kxf8F2h3O3zj7Hf5gzv/AKe9S+P6L9HYeg0eGpRfTfiSY/EfNwxaWc5ArzE7MxhpNqPdGsOmw/GkZL5cJQJ0aDs6epQTdEZErxzTuB7zs1d6fMG5hpUl/MH0qwzs2+xEJd2pjxe6pJnDIK+zP2qx/WaL7dsufrmgtnsf/7kHONsJ+sYz2JsvY3RuMB3NuD98wFkxIi5iopOQeJyoB4UsW8mBZiILqOhjKnGrfC21R2OVaJKEhC0PlSaGr2PIexe1K8G2lWx5gWZUMuaVL/0qKnnzyrNekke6+H8To5zJNXEmF9B+3aWypOpaxfe/8GAq70UA+soDU+7B41RkrkWer3qdMOTlBtk2TEzNZZQ3OM19jgtfMeLnAvCLv52msalr9C2DTdNm03JpWz6GZigfQb3UlU/PyqVPWUdIJmcepbxzuuSdswXvnAWKTSXf2XajTq9Rx7E9QmziVCM+s7BOTYpjCxYGtQJu2DnPWND1c6J6ybRWMNvImLYz5o2CqZcz1wsWRcFSQBhhZYtfsZXjuimunVK3YjaLkJ2zBTsPAzpnGVFq80azw1Gzzty1mLm2sk+Q3ZkFEO8XJA9zkv2C7FRx3RE8o37FoHlFp35Np7Gno4k0tiQW5buWAoSykmkXVpSAX0JqL2ODMtEpU1PJuJeJQRHL2HqUaJQCCjNFdxM0O0Z3YnBkXPVCTxTgJiQueT4SFkaWFGhy/ErCcVniZCa67qBjYYj3eWJghQbu0sIJLZzMwEkN7MzEsTQ8v6RWy7BqEUUREweSUC5JJwbpwKMIRe1g5dtaS4icmHGSMRpqnJ6ZLDWR9C8pPY28U5J3V6B9t6DsZWj9CLMfYrshNS2kVQa0y5h2nrMbxmwnS2Y5HC1z9ucRR4uIeK5hpy6bWZe95jadzQ5+w1aFBbWsoJXmNAoDuzQxCvEcF7lfh3npKNA+0lx0z6PdqbG96TP4pskb/zRWUu9f/D802Hv1+zOlp0nGr+/P+NeHM+ZJwbb4Pi9NguOE+j8dY53Fyue8bEO8pTPsaYTtgma24Opows0HE7b2p3hpjmdrtG508D53BfdLz+O9sqMeuKQJw+ad2Zjv3R1x980po3ci/LsG/okJcqx2UqJWSubE6Em6slQwMHOd0rWIHIPY0gkVw60klMTZh3wmx9EVaN9u21zZdNmchOwulmz5qXq4TgqLReYxONRZ7Fd+r3bbovtSnc6LDdyrPmelwZ27sWLX7z9McMyET10+5uXtfbatfbz0BINMgdriXR/lOovYYBoaiK2onNtqrkbD11X31K648HD+Ab3rx6/jYbgkWE5ZJhnTtORuWePIaDFxetQ3r7Czd4MXdra5Kp7Nd6ckQUpzt0nnelv5qT+WKFOS4fcUGKZA++D0sYSe+vOG+wiotwS0987B+2r9o/EjUF8SfT++hIMosKTjKaXIh3tVUik3TEbjkqOzFWC/6idnxTnTXookNnsC1OtsbxpsbRjn0fk+RSzf9z2V4gO/uADar4H7EybHZx9g2zd77Q/+kqc8kD/VtiVZUsyOqz4/VaCqJj7LzW305hZGaxu/06XR79DcaNPod1Ws99qYlkm8zLj3+pTbfzjm7tcmxMtcWUOI9P2NL3S4/Kkmpv3B/VnJ9cIiKXgwTrk3Trg3Trk/STiYpur+QKxwNq2SLTNnk4SNPKYTLUGd5yIi6bOQ2ThgPKxiGBdESaHY0Wo/CThja3iOrhjN/b0Wm3stGpsNxX6vbzRoCNO536C20Tif59X38vCcZZ/PHlDO9tXcl6b7G+j1XZA5rSQ6rZWE5yoqWc4L49Wydv669c9Y5xKekqj/k5xIKSWhKnYB8yOKxRHl4lBFNU6rYhK50gfONjO9o5QbwiRTRR6hSPdLzHWWuUlUrNjEecUoDgvjEbs4t4hKS90HroF9dZ5TgFtlx+ES02ZKywjpmDEdV5RhGnTaHXrtDXr9Xbq9HbrCRvyY4LSwwQW0F897BcT3XJzW909uZXnBOMxUl4KFsfQwU4ULUsSgYijrhSH66BzpmXoFuAsAvwLdBXwXMH67bn8sb/af9iYArgD0CrxfA/erqNj7i4vbhAWZrWL6kcx9AfbX6gAizV/FR4oBF6OsfzT+kNe6pgLgPvC+PnT8xPJcgIin330I491p2mpOuvJc28xx/QDXmeJYAxzjGMc8wZZ7EfW8vUnp76LV9ij9HfB2KCwBI8VCQ0AusdTIz601ZF04DRgdzxgeT5mczJiuiphCARYLYT1XRVq53Ju4cl13QJMbEAMLE7vUsXMNJxEAX5QdpGB5BeDrH1QhWMcfwor+saYcJQoppisf66KKUYg1hWOQ2zqZFMYKcG9qJCZEOkSa9IJAKwlEiaksWJSVLPuf9CbMdEuAYhV1BfDL8uMgvsEzV7u89tIOr764Tc23HwMwxv/mbU7/8VdZvneId3mD+v/2NSafsrg1f59bo7d5f/Q246gCArveBjeaz7GdbrExaWLe03n/vSWDacko0JhEBtPUYl76BNoqdyNFHFIWXCzV84tvJNRtsU/K8J0C29XIHZvMXnXLIrFsUktsR0wOS4vCNGm4Ji/uthVQ/8pem2e3mtw5jvg3744VWH8wDinEqq8bUtQGFN5E5QI80+JGe0OB9c90NtR4O4LwvYcK6DQEBBeAXYAbVZjiKNBRATkKeK+26bJNrRNrrB/cW1vudZLJnHg4JRqOFQgaD6ULyDtexQlpIMzjVTF6JkpVUkDto3s1DEfAfLmXsCqdwQs2OaL8VfVMxVwKHuWBYaXE833nkuRYzkF7i/rlDlf/wrP0Pt2gzKbk6UQB9iqmExXVG1018bZ/BNY/Ad4LA99sfLgFkdgwZMsKZFddAPjpKlbr8nRGmS8f/0HJm5hN9buzQGf6zgmjbz1UhVRmLcfwc+ymhnCYTL9AM1e5BmXFJaYudXSjATQpixZlXqekAWUdyhp5XJIuIpJ5VCkkSFxGqqB9DXC7vbpSk9FFZS9PSaZzYgG4hxf273CiAP0nQds1874C7Ns4G20134KD0xUYf0R4MjwH/8WqoXZ1h4aw4BUIv0P98rYC3/I4ZXk4UQD88nBcxdU4OJ19sJhb3oMojmy1qs+y2cTfauL1JbbUsny2i0V98j7S6UIVBij2vYD3JxXrXgH4g/FHAtXnc02KHgXAV6C9o97/OZgvUS1X2w0B9aUIxncVpiXApXzWPBiRju+TjR+Szg7IZocUUaAKX6AG9gZYPTA6YLYoS8kVyTGRVsdIIlGug6txkip2+9OanA9UgcYaHF8D6BLrApz7yi5PznSVJQdkqtYgV3MmmQbqWK1f6dG40qO208KqmY9Y9gL8C+g/k+WqCGBdDFBtk8K8xUcWAMh7lOSAspzT110UuKp1sk3tS7mfVmqhxvl2ZY8SZxRRSrGMyUX9Q5RsJC6kIDDH6cic6OHtbqh5513ZxNloYW00sMVStFOv/s6PqUlBVXI6JTmbreK0iqtxOlw81ZJEmrKwUmC9FFjZq7GN4T8C8M+jtzr/r18vCmXnr7FUEVVVofeo6FHyCYr9rgpchoSncqwMz5eT+fI8TSLnXTmuRZ1CWUxsSOyqc4Hbaaq5ui7qkJ+T+fGYOsN5sUg1X6SY5wOf1zQeFXOogo5q3opygwL0Ow3FzFdFHzKvfa8qpql5qgjtT9Lz6E8NOH/+hy98ud1u9zGw/rXXXvtxvaWfunZxoty5c4fr16//pN/SJ+3fgjbLlvzfDv5HvrN4n7/U/7P8lf5XFLj3o7Q4KfnO+yVf+17BPCi5cUlTIP3lrQ+/uRdW/dd/4zv8zm98nePBgGU/IX6tpPkzbX7h2qf5hY3XeDnuUnzrPbI33iO9c59cpJnNlFQAQW3GPJ+wRICtkmJpM4+7nGY3uO+8THH1Ol/8Up9f+coVxWp8muz9P/m1r/Ovf+tthrMZ1nbIs3345cOSS7dyDguNO60Gk+0a07pId4bKW0iqznd3Nun32/S6LbrdJrW2w9Qdc5dD3pvNOD4tyadd9GkPd9zDnjewhUFgujQ6Ol7TwjQ95plFbIpfYUyjmFM/eEh6e5+Hg5R5YVJoGg1Xw7m6S767i92tcac14dhc8O8PfP7qYUapNSnLjLvuIV/9nFzwuxzOc371KGGxccC3X7Z4PrzBIBnwW1///3A0fRPL36B1/Rep730GfVFi3kn5j8ZtfskuyTSD70Z14tOSq07JzS80sL7Y5cyzOD4rODrNOTrJefAgY3AioGxE0ohw90KuvVDw5Zfa/PLlbRb6Ib8b/yZGPKEz8+jMfIzUYFZ4vJ96DN/u8uobLfpLjXrtjPq1e7g3jjA7PubWy9ibL6LVthllE46jU+IiqXz6xIdv7amnvFirxIrybJWxYlc8ZZ34syarpFJSeX1WIH+ukmJyY6JusFf+fecPpjpKFlh1qShfjQX0N+Wh1DLVOhXlHtdKCJOEs1nMZBaxDAJGM43F0iLOdFwP/BY02iVOzVR+k1FpMNA1xip3LEC8wZ7lcsWtc8VrcM1psmm6iokilhSmbiou99OOrSDN+O7JkNePBqqLz7QI/PcaLTaaLUzLJSyFzQH6XMM7ssn3DWbHGnoEDb2k0y3wt1PKmwnTTq780jUpIjCEzZ/hlwlZHjEqE0bine7l6G6OqYmfqIET2rQL2C0SNvcXXHtnSHccMfMcvnd5k6MbOzhbbbaFyWZoxKOS03sxR3djDm7HjE8zxQCz2zr+FZPaFRN/z8LqWspyoMjk/RuYhYkpyT1RfCh1tKxSB0DA0xSSSNilwiwQ5opkHUvl644tAFKG4eTo9qMup0FT07AkStJKvOjlAUYKDsocoyyUNGmRxaTyMG2WK5ZNhWfqImWbZmhpQioPAGFInEjiJ1H+9n7uUM9d/LCOG3iYMw9rWsOcOZhzSz3QZ0WqAJxMz0ibEUYtxfEybLsgD13ySZ1s7IOyXhBmf/UAkCOgRcZZEFdzL4+Jylx5souNQtZ5BNqzGaPthlhXZnTsJTtJwDPplOcQX8GUsCgIioKwFGWFnEUMy0RjYnQJ3T1iAZb0Gt3S4AoOz2kul3ObRgRFKA9oIZEwPUQWV1hJkc/bf7DD+Mjj2mdKPveXTcWS0lzpnjKfWCwCprMl83nAbBYwEyblNOA7UclbpUNQgDsaUbx7F/NUlAs2aZQdWqlPO7ZxpFjA0ClrOmFfY9jMyPMZneWY3dGIa0dL6mmu2E21mx02vnid+s9ex3u+j+5XsovCzn0YLHhwOOfo9QXT78akbwszrmDppgyuRJxdChnsBthaSX9h0JvAxsxgMzbZiA26Xo1Ws07RdUlbFnHDIvYMgqwkWGYMBjF37sw5PArV3xRP3l0K9rSUq2242jPobDYoum3mgcX43YDxuwuKWBJEUmggzPo63jM+E9vm/knGrfcjHtyLqLsZO5sZz1wp2OmntGoprqspIDjRPAaRy92xy9vHDsPIpeYbPH+pksCX2Kp9//uAMppTjA8pJ4fEw30mJ/dIxscEScwyzRjicWS2KRrb2P42ntbnWmeP51/cobH94Um2JJyzf/cttDxip9/GKCNKqdJJA8p0SZmFq7heJ0mLp8kbiiyvtwLsK1BfpDRkXcUMXAN2hlRjVcDdxXUXoxTgiPzoeEE6WapK+nQ8JxtLVX3Vs+nigvBANZDExcWH8CqBa6E5FoHZYFg0q540GCR1zkKfReqog0W+n04jZbObsN1L2O7EbHUirjyzSX3neTSrzo/ShNU7ORoo4F6B9wenSjb/sX38tEfNp6x78nXqehuMFEgvXc0V8aKVpHugkaSaksNXILJu4neaNPs9mtubNLe3qfe6JIsGo4cWJ+/lBOMS2zO4+tnKp/6Zz7fxWt9fIlW8ax9MKsD+vgD3k0QtZyvAvV83uda2uda1uNaxVW+71dwXr3sB7M9OA27fn3OyKDlIHR6EJqfzKmFjmxrXNh9J4ku81LM+YPPxVHB6IYUMD8inDygFlF4zffJUsX/Ox4r1I/cjT08SPb1J4kzdhFQAvhwH4uMp1gMXo90AFcWWoFmtk5/7AVqapty/f1+Nr169iiV+9evPKYUJa9BdxRUIvzw9/zya6aLXd9DquyrqjZ1qubal5sZHfYdk8ep7q9QKqigXe1mfqO1FFhHFMUGSEESpui8Kk5RlnCuQf6a1mZobTOgwLeuME10B4bMo+0CBlbDMO55J27PoeiYd31LLqosU/yq2XSnOW6krlSVhWihQXX6vAO7DJ0B3Jf0fpMxEHumxvQgtz1S/V2T+5Xf3fPl7lfz/Zt1WYLxI//9JSn79NDbF3F+B5sLSXoPpAnj/SWprhYGnAfrBJOLwziHxJMEtPOJpSjgMCUdRxUJfn8vzGNtLcWsxrrdQ4L0C8RsZXkvH39mgtivgziWl/qE3LqGJxc5HNHm+CkZLFiulkeWwimp5MGd+Omd2OiNJsxWIr+oiFaBi2B66sKsxq+IcURuT57hzxnmpzsWiiuEZOo5Sy9BwTR3X1NSynEnkuVGeAZSfujwXKhWWypNdgEy5b1TF0boUSOvqGUvsJwxRPZMfzTU0sUBTvaCMpEslZqkACrFouXgcaraBJkoYvqmIBRINUaGoSYLeQpflmoUu66RYQ8a+Va2TeGF+rX/vxcP8fN1aiUZ5sueqyCdNcjJRwkhzpTIjxeyPlmWcna9Tr189B6t1q0KLdBVF3e3OYMnRYKn+5s3rPT718i6femmb529sqlyIUvP43kNO//EfMv3q+5hNn/7/5nP0/+LPYLZ8huGgAurHb3Nr9A63xu8QZWFF/vK38EwfxxBveBfbcLBLGy02CScewcRjMXFYTh3mM4f53GER2BWuK/utKGgQ0CgCmsmcZrakSah6nbCqydrcYLGxwWGtxbumx8Tx1d++3m/w8l6Ll3Zb1CyXW4cxf/DulAeDUBXnX93R6fVjtPqU/eUZD2ZimiXafBpXmh2utXts+g02/Bo9r07Pq7HhybiGo8C2H7591LX1o5qAuBWwO1XgrmIyr8H7YRUF5P84UMJapaE6dFYFbqIkc37PLDm1FRlC/brKTFAOy2gqc0qneWOHG//Bz3Dlz7+K3fAe/93ZQoH0eSqMagHuhc0+IU9keXIul/8ISG9h2ALWCxAu13dhvFdg/ONFvRq6WUe3BHhvqtcLAC9jQ+JqucRh8LU3efC//Daj776nWKI7v/xF/MtX5OZEnRcyUdYQgHQWksynxNMZifRZBWoJeFokcp+WPVZsoN6FqPM0VkoFKzlyu9EgjzSiYUo4iJSdwfnrRRVoQ6TgmxcA7xbeRgOnLbYEIn8eKuBuXYxRjVdg/miqCmaEaS8MeAHgG8KCX4Hwsp8U8L4/ZnH4CHwXID4ayHdYNXlOqe91qO12qF/qVlEtVwW8AtaHJzOC0ynByYzwVMZVlGKEJz+P+gz9xjlofw7oP4V9L00B6GGsbCFkPudhpMYqBuuxbI/IZVlsJC7G9bZVfBrTvJpSYtNiKgBRmOkqv1Uu0fI5FDPIp4p4o5nynYiUfB+juYXZ2MJs7mL6Mreqn5fU0nA5x6i57F27hil2hLlGnpVkQaLmj1haCNBexXBlb1GNnwacS/GDIzYWLb+yjro/JBOVLqUAZtG42qNxdYPmtQ0aV/sq+tutpxdQy/UuSZ8C2ldRtq1zqer7WuVMVZRryCwknS7Jhf0/CxXAK8/F0uV7Vj8rx4tcEg2TQpTISp280MjzEq2M0YsYQ8/QyhRNrClNG9N2VLecqtjE2+lT29vE3dvA6Texek1siQLgd+tqP32/puxP5Htdg+2DGcnJpALiBYQ/mZItwkfzQPJ9UiTQb2FvrrqM+02MpqeK7qXYQOaV5Lak6EAUKVWeS1RTgoRCoppzMk6rAgVRU1HLj1RVzs+7q5jnovwWkcWxUqTLklh1KThS702ssKzV9ySFVur7cqvvzHYrlZQ/wvt/VaSYZ+SZFKSu4sXl/PH1RV6pvq6/R1XgobzppKijKuKoFFpWxTJKFcNTVixmrSpMUcoOAvILwC82qp0GtmAq13dVYc0fZfupAOcnkwm//du/zW/91m+p/sYbb6gdp97IhcnQ6XT40pe+dA7Wf/rTn/5xvcU/9e3iRHnvvfd49tkfjcX8Sfukfdwmp5L/efBb/A+nv87LtWf4P1/6q7TMHy3pK00uxG/dFV/6grNJyV5f4wuv6Dx35cNBenkIfOebt/nab3yHb/7hm0ziOeEzOeGrOY1XWvz89mv8fP9TvOZfR797SvHuAfk7DykH8/8/e/8VLFt2n3liv+1N+szjz7nelIcHCgQI0Da7GdPDac3EjGYUipAUIakj9KDoCT0pJkKvkp40D3qel1b3THR3THBmutkkm2w2SMISQAHl6/p7vEufub1R/NfOY25VAQQIkADIWrdW/ddeuTNPmm3WWt//+z5KraRY9ThdTnhaP2Y32cZ+e4fWAxnI1dg1XuRp7QW4e5Xf+PJ1vvzFTTWhvFxkMvvnX7/Hv/y9r/Pm9/ZItYSV5zQ+12rw+bdznCfi6wpHzTb36yWTlsnaK7coHI3JdEp/OGE4nD7jeWeKLORqTtKZM+rO6PshZbKEFa7hzjdwR0s4gw5O7ONgq0UBkZPODRdj2WZzA67MHnPwvW9wfycgO/UZJU0mtRap5Sjp5FEnIdt0+W2tw382jCj1tlrQfeLs8+9ecTnwm/zqXspvHs34F7/ax2ncwS9sHpV7fPO9f8Xg4A2svE2z/QX8rU9jhAWNnQl/75HNx2yfstfjD4/qHB1krJolNzYtnvtSi+f/QZfucpVBP50VPH6Q8ebXUr6zPeZxEhHqOU694M5dnS893+Izt+Ft708ZpE+oTW16wya1SCMvTfaweOPUx/nmKi/tNlkrYpqr29RuP8HemmK017DXXsFcfgH9fYtAasAp/8oKrD9rXwbwz9qVJG5OQfm+/ou2DIRkcCrSzJl4xsVSK5BV2qm0w7jaFuBVfKJC8T7MOAlr9JOaiqdpjTC35YaNZ6S0awGFP2N+NaHoSSKCR7fdQPNsTNNS8qdX3DrXnDrX7QbX7TprlqfkCj/svCWJK+NqkcaOApL5jDdHc14bSg14ZxKR6Ra+W6Pni7+kgFLC5NZoxdA8NMn3XEYnNuPEIDNL6t0U70pIcSOg7MYYZkZLi1grpoqxoFkpuZMx9GC/ZjLSTYLSJIks4kmNcu5jZiIZW9LQE54/6vPKzinXBlM1gelfX2L+3Dr6Vo8s13m8XfD0ccr+dsrho4T5WH4BkQq0qG061Ddcaiu+8snVUgOj0DFLqQaGLAYUiwUBrXKQlyi2Aaad4ojPe5HhpSlWGOJrMV1hC+sprpZXi22yAFhqpFLFuEDkktHJNGnrpLpoIGhkuk6qVduprpMYGqmqi2vI2QLG+eLAwi9Y6ReAufBtVTEvsQqwCokaVlkoeU+zKNQik1QzAzPVsBIdJ9boTjWaUw0jW7gsi7yGk5P0AsbNiKldEqQW6dCjOK3BSZ1y5ilGey4LimZJaRekesm4zOgrufKEwTRjrheIM0DRLCiuRGhXQsyrc2q9gA034O404mOTKZ005rTMOTESJnZE4MYU9YjUKTgx2hwZXU6MHjOthq4ZrJsFd02NT2Z17OEKw1OPcFqqhIXkocbJtxsYRc6tjz9l+fqBmgSOo4xJnDOOCkaxbOfMM43ctNH9Gn6jxri3xHa9Q2hatMWPvj9g/HiP6fYBkfhQpx5ta5WescS60aKXNfAyR6kOxHpJ1MoJmVDEE3rzEeuTMR0B6+Vafb1L89NX2PjMFt2PrWM0LiYFIiU5uh9x8t2Ave/MGD6NSSR54krJ5HbK4Y2Q7eaUY8lKjnPKuBBKPu2ZztJUZzkyWY5NVk2XjVad6xs9ll7okV/12T6MePRoxsNHUx4/mnK8Mycfx4iJwLW2zjUBD280ef7vXcVt1Rm+M2P47ozBOzPCo2qi7i7byrO+drvOpGYrMHH3IOXJk4T5LFMA/fWtnOtbBau9jIafYNsacaYxjB12Ji6PBy7DxMNr+Dy3ZSrP+tsbhlJ3+FFKWeSUkyOKwR6nB48ZHj0lG+yShVPFIosLnb7Woqyv0r1yi82bd7l+7Q6Oe3FND8OQP/zDP1Tt3/qt38LzvL/87wqAmYWwAO3L9wH5PAPqh9UCmkx85V6Q5+TTmHQckY1DsrG0Y7JJQjpJyKYpuQAyl2ZdsmBuSmLdoloSG1UVZk0hyV+xJH8VKgFMEirUdrzYTi5vS7tiLskVI8FhoPUYaj0G2tKi9hjpHSX9qlGwpJ2yaZ2y5c/Zqif0akKcltUjmRTLAlPlGyxJBxIV80EtPFVttZ9M6C/3S5WEs2YDs9XAbNSr2GyopIKfpBSzU7K9NyhmJ5TBkGjYZ3p8zORkwLQ/ZjbNmM0LptNcxVkgqjLC1KgA/CLvUJZXyZNN0qiNadv0bthc/3STO1/qsfXSKvWuLLr+5Ww0AX72JwLYV2C9Au2HiWJnS2m6Btc7F2D9tY7FWv3ZxY9ZlPP4OOXRUcLjo0TFg2FaSU/rGteWLQXU31gA9leXLAUQ/SRFLfwq4F7AwTPwXqg16TPtC3D/0n5y7MdTyqSqSJRtee77imY4C6C+XoH35+1FvPSYgPxhCl/5/f8RJx/x6svXMJPBOQhfxhfJHiITqgn4flYbAsivK0nRn0dgWY6TkWKxV0C6gOqDMKv6Fm2JoyhjGn8QVG+K/LWlq33iM435RRHmrwLbF6C7qucAvElPPWbRFtDuJ6UE/4hFjpsymlCGE5VMUyazheqUXCesi2QalfRhLJQapO8syvVH1J3+6lLZH5W/3vKD7q3Ko3QcK5A+6EeEfYnhRTyNCE6nhMdjsjB4JinGtHO8Ro7XkUTLhgJxmtfXaN7YonHzKvU1AcR+tGufvA9JiDoH7S+D+CdTgnGwcLgQAFAcBUpVFWAvSY95SbBQ1pBtSWpXOKEmAL1BzTWpOwZ1z6LumTQck6Zn0fDEEkPuM4VKykoCmePJnC9VdiVpeBE/lHkoyafKLkt4jyKzLsxzE0uB/NKjK5CfpKQUK4REEsQXAH8q4MdiDqG+hMvtUiX8lsZFLSRXUC9VlHWPXBSzZPwuz6h8X5QFl0wRzvzctPfHxXtW25VY2Ifud96W3es61otd4uc67Dsm7/ZDpkGi5Pxfem5Vseo//uI6V7faxPsDjv+nb9H/49fVe+r9+sdY+Uev4m5dSEXLfHt/uqNY9XuzbaIsIs4jBdhLlXa86Atle9FOFz7TMvdLggbJvEkaNFVM5i2SoEk6b0JhnM+/us0RN71Tbs0OWXqa4IhVmW2Trq7Qb3d46tZ5ZNXJXYeWZ/HiZpuNRl3ZTT09Trh/EKjr8MeuNfjM7Tob6zmn6ZBHw1OejAf0wxknwYw4f1ZKuGE7CqQX0H7Jr9N2fGpaDRsXCwezdCgzU40nxpIQFmRMw4v2cBYzGZ6y1ij4tVdf4LmtJrfWfDY6znny11+1CLgi0vwV+1fYwCIPLmPTyh5I9WUZpSIxVMe92lb9i748r7bP+uQ1hEUsbOI0Y/xwm8mTPvHMJk1sBRhf/48/xa1/9BlaN1d+tPeZRwuWfQXWX7Dvx+iGJO00LgHwi6hAePFt/8HXHQGxd3//q+z+/p8T9ce07l6nfvs5gkHO4dcfKmb1WRFmqt0QGwBRIBCAycLyKiKGKJ0ogoYo9JkC9JYYZoxmBuhWiG7MKMopJTPQ55R6CHpcjb0tSTYwyDORua+TznzS0CWZWiQjAe9zBeBHpyGlkA0WxfRsBXBXDPXmRVuB+Q1lRxMNwwXwPmC2NzoH4OPB7OJ1fIf61gKAXwDxtc2q7XQqizIpySzg4Hv3OXjtPVVlvctt13HbDbxuU81JvUttBabJcDUQ9u9cAfjh8XQRJ4Qn02fA8jP2vYD3koSgi6KdMJMVS7u63lfxjChTRQUAvi9+sL/KaFJWKGLlIuuzqm/BpFCAcjX/UlH2W1SlJiHnRDghnx2TifVR0Cefn1Jk8lryEsKw76KZbTJ8DrZPKIKchtNAV95xUhZJVGLB0RIVJR+n6WG3PeymX4HvbQEmazidukpWkHVDsejKx8F5Mngu7AhZd4ozwlFIOAwI+jOCQaDuz5I8KH9K1Ctqa23qG22VWNG80lXRXxdFChnD6ZXdhahASJT5oKGTTQIFWsfHIxUFzI4F0D4WFnmVzKNAb1HXcB1KxyY3DJVIJ8ldopAn9071mvLVG3qVhLHWUp9p8uSE6fbpIgmgUOo9tifqnjFlPCOfDFViRXWdEekP+bgGhpCRFoC0AvCXOviby7irXeylBlZPlDmKZ5nvpxN1LVPrw3kubBvMtoded6pas0GsZioGjrqXqqSPoLKpEOBe2qJycdmG4Scqi+QFARLUcXgW5bd2bJWYIJ/N7bYrm4deVb2eJCMJuWiRnXc5AfD9fedihx/s+1HLjzN+V9d9SUQIIhIhL4xnSqEhGc0r+wZJ4BBLB/lO55K4EFaJNVGs1tVV8sIC4Jf7z/vtfVRyT6dNbX1FJRm1nrtO64UbuBtdlUAhCRs/SrLG3zpw/sPA+j/90z89B+tff/31c7D+8o/aarUUs/53f/d3f1Zv9RemXD5QHjx4wK1bt37Wb+mj8nesvDl/yH+7898rwOufbP1XvFD76ag3yKXq0V7JN94o2D4q6TYrkP7lm+LR/oNvAOJV/9pX3lKM+vv3nhLYMeFLOdOXUxpXGnxh+RUF1H+icxd9MKd4d7eqD0UWM0dr10jvLrO3Omdv9Cbzv3gd5/6IPPTZc57jafsO8Sur/MqXr/FbH7uLLYtPl8qwH/A//P6f8Qf/7nUOd6fYTfj4qyv8mrNK7y9OSd95oAZOIvcWmDXmjS7l2irGlVW42kHvmkoSO9ci5mHAYDBR9XQwZm9+xMQfMvFHTLtzsq6G7SzTiK/hxVsKsG/uXmU5WaXe9Jk1NfSezuZmxr75FbZ3XuP29zTaJ9d4z73FYFoQD6bEQhH2Ha43GnxCK1n12mw5MPT6/Ou7Dl7N55+8HXDYnfIfvmDhGWtq6vquucM3dv9npsev4xVNuvVfxl3+NIQa9ddHbP35hI1Qp3a9R1Dr0RcwNxQ2lkFvw+bOZxvcfsnn1h2XjU1h/cL+6znf/EbAt4M+T/KI6dhU3m83tyw+fcfGu/MG6dobGJFBZ9hmeaIhil5j3eBtLWHn7WWufPcqW0OHTXNM7+ojvBeeYHZ1NL+jWBpK2thyF5LHrmJgXVSRbnNBquEoqcFxnjDJUyZFyiRPGOcp0/yiLTGQBXApl4DValP+Vfc3ZVsvWeFxyTzMmM9zZmFOlFaDfBl0WppoyWXkZk5qCfu5ukdajkWvJpN1j5tuk2tOTQHx1+w6W7avgNkKcD8D3eeU0hYJ3jMgPgwoo7lahHor0Xgj1nkj0Xk7M4nMGpZbo+2JRFZdpv/YhcF6oLHUNykOXE4Dk53EIDBKqOdYWyHulYD65oyOHdDW5nh2DF5G4WfMahozyyARRnaqM5laDMY2YSA+kjZtz6DT0nDMAqfMuLk/5vmHfa4+HRPZNjtXe2xvdXmY1zjZ1Rltl0x2CoKjXE1uBMgV39X6ikd9uUZtyceSwb1eoCmwXSwGCgwnQZdqpVU1U+Xb7sUl9SinMS9oz0taM2jMK7arkjs2C06NmESQeEtkvmUxq6DQCnJNEjVyMi0jF56OVlAaixUpiQbYllFNvJUygkQZ0GuUAsKJtKWuKa9KtRCoGDY2ZmmpxRcr99BKX313kTDoyIm1jJicVP6+WiMTuE2jKHRy8fyUPnWwVZ9fqhq8iyRdUtKY6nQmFssDU/2m7X6BI8eNE5NfHRJvjohXA1JZyBt6GPtt9MO2ZBWRDB3Cqci6XZiEmm7KxEvYthMexxnDEUjSuCby/laOvh5jb0XUlzJWmyU3XXg5Kdjq52RDGA5S3pyNeC8dsKv12TemHCHMQzlkZbKMSpSQ5Ai7zDG9JZrrL1BvvEDn8Rb+roG7HLL1xX1ubYas+iYNU+SGxZM0v1iEknPP8dA8MaH0eJoZvBUbvJY47Ka6Ygf5eYo/nzPbP+b4vaccP9knTsQuxGTZXuGKv8amvUyvaGLMTLJSI5JMeyMkK6YY2ZxuPKOdh7h2SdL1iDYbxFfaFFdalFfaWOKJapm4Mw3jfk7xbkrybooWlzhNg+7HXJyXLfK7Bad2zGEYcDibsT+Ysj+ZMY4iBcYK4+rqyOSVqccnaz0+dmudxstd7FsNxvNMseofPpjy7teOefjukCCU9BHo1Q2uX63z/C+vcfczK0q+OHgcMnhnqkD70X0BoC8Mh626SexZjAyDfq5zHMOpKEcbsLyUcft6yfWrBSsrGTU/U8kooo5wOHM5nLuMUo96u861DZ/nrphcWdZ/7IVBWdw43X/I7s49BruPyft7eMkIXRQsdI3QrhPWupStLmWzxWA4o+W2+bVXf412e0Wy3H5s33mVYDWZkY0nZKMJ6WhStYdj0sGItD+s6lDYOZf8HsUjcqmL1W2jd9sUnTZ0GpTNuqp5o0Ym18M8J8lTYlnklMSDLFOLtPJKXbeGbVoLP1SxnjGwzMorteq31LZlmDgq6kj+g6ay7CNV8yCsomxHEcks4rhfsH1S8vQkY2dgcRy46jx2jZQtf8ZWM2arUbDhz3DKyq9bFlcrj16RzJRFp8UkWPplcUDABtmWbHk5F8JnpTPPvpNz0L5Zx5D2eb0A8Y1GHavVUH7uP87vpEDBYEgRjlQsgxHR4ITJ0RGT41OmJ0OmgzHTccpwZHJ8tMZosE4UrCk9E8OaY9f6eB0Lf6VOY8mhueLQWqtR69Spter4qjaq2K7iGZgv49TTec5jYdgvmPZSh0EFxAiwvtW02GqZbDQtNhd1uS5WMtW5ECYFT08qoP6s7vZTpRggp4sw6m+s2txagPbXlm1852fr4a2A+2RyCbifLYD7yTmQf/kxlejy/tcpCiaTCoRvtnsYzQUDXpjwCwBer62pMdnf1pIu5OgH85jTg6f095/QP9olnE9pO1olla/Ad5tu3aXmeeiuJDj4aM6l6NQqBrKMZ39CgLvMs+q3C8cKcC/kHIuqtjrfoom6LleAvNhxXLCIfqKiFsXPAHyRTzYugfoVgK/AfBmny+cVFQcV6x9SF/0/5rX/o/LhJY5jvvnNb6r2q6++iuP8eOekkiSepxWAL0D+yYxg74j5/iGBeJ4eT5gfB8z7MmZdHAumQ23Fo7HRpHGlR/PGBvUrSzQ2ajTWaz+S3cNfpUiSvKhRHM8Sjmcph1OJF/VomjyTNOMYGqsNu6qiSHFmDbHoqwsLXhMWZP4MgP/+KID+M9tn7UisAirASECnSg54sS3zSxmzybg8K9HOYnoJwD9j7Ctgv6rnbUkGFWaiktxevK60zYu2JOQJs1+ACJUsIVYA1kLCWJ4j/daiXxL25LkKI6sSGAffHTC/PyCexSRuQb5sYr7UY77VYK80uHc6V5Zt7aargHqpL221Kb7xDif/+tuKxdj63B0F0tdfvvpX/s0F1L8M5MeXQf0FoB+mEaejmON+rsZMb94TBrpNVuR43X02Vg+4U5+wPNDx75c0jkWJTSNvNQmWlziotXhg+QwbbfVdbbUbuLqrkgaPh5kC6u9u1Pji820+fr2hPvdonnI6i9kbzTmahBxPQ/qzmOE8VWC7rBHIGCGVMdmlJXz5GsRyq+bpNEWVpWbRq9ssNVx6nsXB9hGTuUVqdi/GI6bOtRWPW6seN9d8bqx63Fjx8J2fr+ukfM7RWw85+A9/wd6//w6jRxPiucj9+6z90nPc/d98kY1fvvtjgys/6fvZ/tdf4ehr31PAT/PFFymNNv03DxRw7dRs2it1fEus8Ap0AdQk+SBOFQj1gxjY7y+6WBeoKnaKC/lqUVYUooEj9+cJWSgJBxNKbY7mp+h+hu6nGLUcvSHz7yq5VhioWWSRTH0F4GeBRzKzSGcG0aAC8JOJXF8+mJxqN70KcF8A72dAvDDW5TjOhfUsMuTCgJ6F5EpCfUb/4S7H97c5ebrH+Oi0YuNbNk2/oeYumajxCeNX7LzyjESk3mWOcQk8l7blOTg1H1cksOsebqOO26hVtg9KGclQ554sX6bzhFgWDqQsEqsuAMZFFGu/BaBZqZ+oi/25Ekr1WDUufTZWj6u1FJWQfHHtU9djxaA/65drXyXhLt//2eOVlPuiXQaUyYAyHUDcp0xOKcuYjADLL2j25HOX2H6ptq1atZZVzHWymU4218klznTys75Fu4jOPnP1P/lZzXqJ7skFWe7ZcgDZlKUkTVuUhUlZGKSy5hKVxGG6qBmxyMwv7nMyb3c8E8ezFrVqW4t729k5IuB76dqUYs0mySOFpsB3ec1EVB6U3XX1FsW2QI4pAeClSlJAbb2tEgG8JRm7vY8EN48ZPzxidF/qoaqiBqDUZ0yD+lZbzeHctq2Wb8U6NDrqM985Itw/UaoBVUJQrpR+BbhXNp6SXO4sgHZD1v7kX3Wt1c7Oo/efo5al7CWUBHtdWNwixS7RwdBFPeEUrThCy08Wx4EDlq2i2PEo1S+Z11gOulp3FusS72IdWmzdzqL0G7Jm7TxrFyB2PcIib0ky0Q8gYin1tEXy9Vky9nk8S8pe9F1O3laPZYtzSRLzBeA3PtBWSfyXHztXEzxrm5fUUhbjee19bX2RqPtj3tfVOSuqPUGlhCHKhPFgokD+pD9h+nCHyYNtRb4Jj0/VdViuRZbr44g6jV9XwH39+gbuegXYn6sfLKJcc//Wg/PvL+Px+Bmw/vvf//4zzPpcMlY+Kj+0fOQ5/1H5eSjDdMJ/u/vf817wlP9q9e/zO70v/1QnzfsnAtLn3NsuqXnwibs6K12NdkOjXecH+qsePDnm2//+db7zJ29yfNonX0aB9OMXIuqdGr+09DK/vPwJBdQbki3/+JDinV3yd3cpTyeV3/itNZJNj/34AU+/9U24f0AWu+y7N3m0fp3xp1p84ssrvHr1KjeNK9T0C0bBd99+xD/711/h21/dIQlyVm76/Navv8QXejeon0xJHx4QPz6g3DtSg9w0Ec85h5HdYWS3CVs9zGtrNK92Wdrw6K7a2LVcgfdhEvD0dJ+3Tt/jwewxT5Id+taYcmOF5elneeXxF1g5uaHkyLUVnVFNI2yOeNr7JgPtKZ8ZOXzq+CoPzY+h7U1w3rmv/FIP9BpR4ShpPt9y2PBMPD9m74bB77RqfL6f8nA95ZuvikR6l5iCt+xtvrHzb5gevYHn+Kxs/gpe91WKVGf9YczWV8Zkrw0p6yau62KXLnnoEJh1Js0W+pKvPGLv3HX53OcbvPyKh9gH73035/s7fd5w+2znCdN9DytxWaqbbN48xr/zHr3rp3TjFltDC0+kI4FtL+DdaY7+F7dZf3uT5txgvX7E6vI+tfaQojtlWjMYuwYTW2fs6EwNg6lhMtVNJioazDSD4lyOrfJRcjSDplTDpGnYqrZMV9kNqEHJwqtZBh8CnA5mOQfHIQfHAYeDlJN5rgAZ+efYGbqbkvkZoZdgyKFj6DQdlyXHoWfZ9EyLnmFwTTe4kcFWnOJEYQXCRwvAXYD3tGLBnhc5/5Tkt8/A9Hg9NXkzgjfmGdtRprwBl90aHW+FyLCw0alnsDTT6QbisV4yyEqOM41JopPpJVYzxV2JaKyE1DsRliPAbk4uVTIkZNAquHRuUsYaaagTBxrTuUEQ62Dr2JL34GjKl7BhG6ylOc1RhD1LCTWDE1wOQ4vJuCA4yQlPq8UjJT/ZNHAaDo7v48iErWZS2hGalYCVUjopmptSGCmySlVoOW6aUw8NGoFOK65qLdFxhfK9GIaHRs7EipkaKRM9ZqxHzPWYTBaXxAOySAm0jFSHxIBUEgAsWw2cZRG5MBxKZFHcxSodrLIC2fVCGPsmTmFjlZaS0FdWAkJXkYmTzPesBN0L0LwAYxF1J1IAt9orcdBjF2KXInbJI480N8kly15k9e0U3c7QzBTNElNwkVarDgE9NRW7Qk2QxOueUrH788KoWPRZ5Wfvjy0afYfOiUnntKSlz/HW+mg3TynXZmiOSOILc6iJH17DGt8gPLGYPMwZvZuRhSWWV1K/CcOliHv6nAenMaODjHQ/Jd2fEccjkmJCqk/ILGFeCmAT4WsavqbjorNi11iyfHqmT82xCTs6+9c09q9BtBRw3dnlrnOA66YEWY3DNz/D+N9+jmLcIHgxZvTCNnP9KbZzTNvT2PTbrDtNlg2HrmbRwqBeaHhZrtQHDPGQs336doMnWo03Moc3YrEC0ambGl353Y9OOXm8z+GDfQaHQyUfZms6K2aH640ttpwlGlkDTnUFmsciV1ZGOFaIR0AzneMTgFkSuSb9JY/jZZ+TZZ/Bao1J16c2sOlua3Sf6NTEFUB8SNc1wts66V0d44ooSghAK3KthbLnCKMpj/vHDGch1izn+aHDy3OfT/WWuXV3Fe+lDta1mnqtg+05b/zPT3nw2rGS3NybFUrtQSYeV19oc+v5Nrdu1rl2tUYzhmyUkUykysKNsGQutsNxxvFpztG85DTTVB3nIp1WsLIsDPuUzc2U3nJGrSHKCuL1XHIY5JwkOWMz46SW4zQLdf0zrZQCkZqNifOUKEsUcC1RtsX64XKRQ1ukIuuznF4OK2XBep6xVYa0qBjI6vInR7hMwEWKVjPJDJtcsyg0SymuiLpFUujqvEgyDUm2T9JqcSFNS1JJeBFJ+rJaYFAye45H6DXIPI/MdcmFQWVb5JZFZoq9iEacF8TCmPiQqVZeyGMJcSaM2EVdfF7RcKnet8jp2jimjWvY521b3VN++DjJ0kVa11h46+qL7So6ptglOCz7Hss1l5ZuEx2MmO4OOdkN2T6pEaSyUOCxtuZw61abmzeb3LhiKk/7H2U8J4ynfLpIapDkhsn0Io6rdq76Fu0g/HAwv1HHaF0C8JsiGdjFXlvBXl3CXl6q2AA/YqnUYuYUwegcyJ8dHnPv60MefDfl4GHJfKyT5jal4VJodqVipMWgBYhXi2EnGFasLGcMK8FtaDSWbOrd2jlgfwbge2JJ4dcZGDVOSpujxOAoKNmbZsRywMlvZWisNSrQXsD6Crg3VZ88lmSSSJHw+Dg5Z9k/Pa1k9eWXWOuY5wz7W/J7rf5sAfsfib0v6hNngL3EbI7m9iog3lv6O8WaVqyc0R7Z/hvke2+QHb5DmQRqTGGsvYjRu16xjBP5zmaU8bxqJ0G1LaupH1ZknCoJqAuw/iL6C/WCalstyC2AdgXAC8h+BsgnwQdfVpJW3Saa10JzG+gqNhd9VdTP2rZ45sq4LVss+J0pN2SX2vJ4lQR0sU+2WDi8/Lxs8bzq+aqdRovv5KxKUtn7xr9n71sScV2xX6ihqaSG+iLWnu0/B/Ub1Wd638LwR+VvpuTBlOmjh0wePmX69JDpzinT/Rmzvs5sYJHGtkwgVGK1LIg3tjo0BLDfbCjAvrFRp75eo77mYzo/vjf3j3ruikrT8TThSMD6BWCv6izhcJIoRv5Z8S1dAfVrDUeB9Weg/foiesL2/BkUZZESy/k+V0oG5yoqWbRYpI8vKahEF4+f7SvnXLGI5/su4qUi1iiFdZvh43UOvgmD12ZEQwHCY6J6QbFmYby4xLThs53C41GoxnGb6y1eubvCjTik9+33KPf71O6sK5C+/cUX/saA2ek84w++/ZQ/+vYBbz0MCdM5evshjY37NJces6E1WRo1aeyaeO8V+IFDImPH5R7DTo8dt85Tr0Ho1ZWFmLDeZ3OZAxvntgJS5P7t2TqeU9kruJam1rakLZbOlilj2YykSEjKmHkWM4tjpnHCLJV2wjxJCQXsLMGySur1ktsrDe4sdWnQgcQnnNmcDEt2+5FSeZGy3nG4uepzU4H2nmovN38+/H6FDdt/7T32//ibPPm97zLdjchzWyXq3P3ffok7/8Uv4XZ/ctXODyvCiJUEgZ1/86dMn+xjNjpYS1eY7gUEOwOBh6nXTGpGocBK/+oy/p11dE+8oS0lHy5WVCL1fg66i1WVbSrbKrV99tgi/ljs0yQjHYg91ryKfWGeyvi7Tzbvk8cLEJ+5Au8FxBcw36hlCpAU4FDS99O5STJ2yWMPp+7hiBd74ZBNdPKxRjYqyfol2TBRINdZUdY7ccjJdEw/nDKdz8hER9K1YLNLcq1LcL3LtOMy1Qtcw2RNd1nTXNZKh7XCZiU30QUMns6IJnPiaUA8C4hE9j8IiYVZK/Z+UazUJkWV8gw4PysCglumhes4uMKQVvWsLWoR1f1cgejy3csajm0sokjLy5pOFau28Uyf7HPhp75IIjhTEjvblrGXJDG9f5/zZKqz9iIunivqLGXcJx2OyQbzyv5M4lCY7wHZMCAPL9llqnmSKLA5mG0HS8Dolo3VsjFEja0l2yZWy0JzhRQkidQRZdSniE4pJAYnFPHgGauxUmwdrS6a1VMRo008bzA7spifwvwoZ3YQMj+YKeVPpfoiqjLLdbWeFM8idd05O36thluB7Wegu4Dwqw28ZRe/JwkWaaXMJTWPLtqiUHfeX80RjfoVjOYNjOZ1dKd1/p5FpWL88JjRgyNG9w4ZPThk+ljUCapkD5Hub99Zo3V7ldpqHbtukI7FVmFQ+bAfVskjClxfAOxW/X1tBbrLeMPHWux3Nv8s4hHZ4G2y/ttkg7fIhu9W37Ww9hu3wb2pEhzETqJIhFwRkccxRRKTx2JpIe1koSYi1zpJIKmibEvyieqXJBSppcj9S1KFVbWFSHSWNK+sVxeJ8wt7AbHiVEJ/51U7P4xU+wf1i+yOpqvkEKeeYzdEzTZTbach2wWO1Kaojf6UYGVNEgEWybhn4L0k6ypwf5Gge6mtgH21r+wn+8u1U4D+RVvtJwm9YmNjMDsImD4eM3qvz/TRgPmeKKnI91RiuR626WKUllJjtGXt3JDf0MdZaWOttFWcmTn/63/8v+eN/ORvLzgvb+W1115TwPyf/MmfKAn8+XxeZat8BM7/SOUjcP6j8vNS8jLnfzj+d/xPp1/h040X+Mcb/yntn4LM/eXSH1ee9G8/KkguqYD5rhDUNFp18VqlAu0bVV/drzLh7732SLHp3/zGPYI0wrxr038xZHBjTt31+fzSy3xx+WN8svOckpQrRNrmnR3Fqs8fHCjmmNZrwPUus/SIt1/7JunDp2SJxX7tOo+ubLD3BYfNL9i80F3nlnmV2+YVulqLKE74H/7kK/ybP3iN3bfmCqBrWQ2ura3w/M0tNrZarDV1lsuI1mRM+mCf6OEB2XiuAPugtDnVmhznTQXaC3ifNxssrXssrbssrbkqur2M/2X/d/nnp39MerXLyuwa/+nhfwYPN5iMS+yORrqk8abzlHfb30RzAv6e9wmy0SrFvEu9P2L1/ve5unNCGpoc0WbXarEd60paOCsT8npJp2Xzgg6NDY3ZrzZZaXWJzZw33B2+tfsHjPZex7EsVq98EX/tVcUAvjnQePlegrszJ7AKwsc5wwdT8pEM9E3spRZBt83ErtNcb/LZL3b4/BfqbKzZHL1R8vT7CQ+8A+4vn6iF7nC7SX5cwyCltXlA784JV69mvKibLAWS+ZdzYqW85x0zedSh9Z3nqB90KSRLFJ2TVsJJJ+K0GzFoh0R2gpsVNJKSVlrQynKaeU6rzOloOV09p2PkNNwCx8nw3BTHSivbNAHkNZ3B3OTxSY1Hp3Uej3weTOuMMwNJZrWdGL0WEDZCyvocpx7hmyXXjYLrWsn1suB6mXMtz/DlWJMDW0kMKhP5xZGuZtzgOhS2S+a4FI5LbtlKvlvJROkGp6nGfpRzLF6lUaGkoxqlRVu3aBkGnqgkGiWhWWCSUytyTF1Y4KWarMuAT6SxhIFuWlJzDFP81At0YaTLYzKlW7CytUU2spovKbJ2lZV8NsU8U0mqasWIVoNAxfquaiZgmAxEy2pbZJjlWyjV9FdYU5LsYKjBv1rMKEsMASpypdFY/b1SU2xExSYpK2DuTH5MnpOSkwj7XMuJZJFDz8mtEtOqmKi2bmDpBqYM9jRT/d2yNFTCgbzf6m9XSpIC3gm4F5emktw+A/siFTVC4dULy55ULajk8te1hExLSbSYWE+JidV7t6gk98Wf0ijl74PtlthuhlsvMCUr3k2VZ5xiFGUmRB7l3KMIPIrQIw/Eo6ykNAsFpmt2DiIf78ZoTkqpmP4CPArgKZnD4o8pf0sYnBZZZpOmkgBgQGyhRSbW2MSd6PSMgFZ9QrM7wa6F6jeaDBvMxjWKuY2558JTA+PIwAgE1MyYWkP29D0eFY85tgbKw1krROa8jk0NO/Wx45rads06tTWHpXWTWyseH+81WE8K3MM55cmcWM+Y1nP2ujn9dkHXz7ll9HHtAwbmiHe+d53HX/s4qW+SfA7SZcHCh+j5I4LgIcfxIWO9YCYqFIp5Z9AwHK6Yda4aPtcNjy1JrBDJU0kQMRz2jDpP9AbvlS1mmqPYUUtWhhnGhAdTJrsTRkczotGIfDrGEy/30udafZ11cwl74lL2LbRUwyhKak5C157TLec0ogleJBIDIjGqUbQNsq5NvF5j0m4yznoERzWyPZNcEmN8jflNndEtndMrBcdGSlYW1E2Day0H20kZjofcH5wqplVrDC8PXF6Ja3xqfY3VF5dwXmxhrnlKavbwTx6x871jDkcxO5OCx/OS/RhSV1QdChpLUOvmuN0Mt5tiiZeF2BCUsugcE2YJYRITxrHyZM5Cg6LfIj9tUwxblKM2ZezgmCVrqxFrawGbSzkbbZ2Ob3A6j/jKoyMeTRI0R7LPXWodn9aST7fp0qs7LDWk2tRseR3rGaDaMSzMTGe+MyPrx9TkBPULHh7tMhoeM5r1mYZDgnRGmIdqITNDLCnEJRJqlDRKaKJR13VqhoGvawi5wNQlaWPBslBemIvJci7Xt8ovNMMm0R15RVLdpdBdMt2jMKrtmQZjrWCgpZyWCUdFxFExISyjivGvlXTtGhtel02/x5XaElfEj9A3ODb7PJ4csz06ZntyohZa5T0Yhs2a32O1vsSS12XJ76jasOsyNCEtChKR1pWq2sJKWfRJUkCW0w9jToKQ47mwxS4GUHKVbFvQjHLsUQ4jg2TWIgq7WJZLs+lz91aTW1ctbl61uL5l4Hs/OXh1AeYvAHtpLxQL8svgvnh0ng4qpv7ihmJ32+dgvbO6jL22jLO2jL0q3+NfbmdwuSjGx+E7zN/4U0ZvfJ/ZRCdyXyTyXyYsNxkfS6JRwOQ4IpxUMq3CgpRFY83I0S2RGhVAIaCQpCNEljRWIL6A+ZpeqXjYvkveaBM1uwS1DjO3rsY7E8MnVosJupI3XXI11muGAuu32jZXljyuLfnUGz4Ho/wZhr2A9wLkS9noWNxas7m9JoB9Bdz/pJL4H5WfXjmzaMj23yQ/eIsiGCrWibF6F3PjZYyNVzCWblbs8B+F3S4WHPFcJZ6cg/cSBbAWEP/y9mVwP5mrBSsFTrstBajr7wPaFdh+qa0SEX+OiwCE6rMpWf05ZXQB3sfBnPE0YjpPGM0SJkHBOCyYRAKyGkxzl0nmqjjPbTwjQ1xpGp5G07do1mwaTY9Ws0az1aDVadFot9RjDU8UTX72ANbf5iKKYqXIAk+2iQ63mT7eYbp9wvRgrgD7+dBiPmkyn/iUmgD3jlJXEPbdGWDvL1XHrxojS5V5jmoX532VLPH7+osf8piSL66UZASkEPlquy6MOou0ZjE9S/42dYZayaCEfl7QT3LyhXSvTFGE9bwuwL1i3S/Y942LtiTb/ejflbDk5bowqoB3UbyIxxTR2fYiKlD+Qqb6w0plSSFKd46KoiSnvtuzPv3iMe3y46JWtNhPJalPtsn79yiGDyrgIjOYD24xfLDM0bdhfiAszYSpHhPXC8otD+1qh5Hn8ijIOY4yNa+71rC40h9x5eiEWxtN1v+TV+n95scx6j+5WsiPWsazjG+9MeXPvzfiu/cGhOJRv3KAsfI9stZ30M1EWWGtRkt0TnxqjzVqTzSM1CK2bcKlJY4awq6vc+x11DEgY06lvr2Yrp4VwfdEOUl+fkkktsxqTmsamjomZExhyJzVkFj1y5xOXivJM7ZnIfdFkSKpEkF1O8FyU3w/p9GAO8stukYPO2tRRB6zqcnxMFdS+VLqrqlY9RVYXwH215Zd9T5+VkUkjY+/+QZPfvfP2f6jd5ifpFh1n40vP8/L/5ffZuXTN38qx8Js+4Cdf/NnKiEgHocYjTXCQUF4OEdLUmqeUc1X7q7R/PgN6q9co/Gxa1idv54kgZ+0KN9vkY4eCKtUwHypAzIZk4TDcxAfI0BvltDIKRsZpRAvhCWvo2qCyWhicPQgYfggYvpAPM9Tte4UbDUZXevSv7pEuNqi4bq0XU9ZMrRU9AiyhL3piN3JSCWUnJVlv85mo82Wqp3z9kajpY7pZz5LnhOP5wT9McHpiFDVMcHJiOlhn9nhqYpiJVl5BpaKcV9rtxaJtA38Rh2/XsOt+cKdrmTMhVWt4sKi4XKfVKUiduapvmDaq1h5q59vK1D0rwa1SXKGeKNb3QZWp6Zk11Vb+kS2fvGYUfvJVWPUfTUaVmC9gPbhArgPTxax6hOFrPe9SeK4RzBqE/RrBH0bw9Xx2iVup8BrZ3gtSWI+A9wvgHdlpfWXlLP7tyR1SZUJeD7bq5Iz5XG3g9m4jtESsP6sXke3Kou7PM2YPjldgPUVy14AfPkdpYhMv4D17btrtG+vKoWIXKxIRSlArEglJpk6fqRf1Uj6hZ19TDY+IB0fkU5OyIM5eSprlmJ/2JKVBYrCU9s/tia8/B6yuliK6mV5RkxXdhey9qfJfcIo0IzKgrOKst+ZvYCoAJgLFQexHjArewQVzYs+07qIi35dyEaiTGVZ1fMXChbxKCA8nRL1Z6pKWyTmz5I6hNwkVh1u18ftelXtuCo6bRuv56rotC1ZwqVUtoBVVQnbZwm35SKe9ZUf3lbx8r6X9/vA60gSz8Km7ZJKwNlxJHaTwUnJ7KBkflhV2a7UQTWcmo7jm9hiQaKZ6LlDOtbpn4z5hw/++G8POH8ZjJf6Z3/2Z+eSdmdvS3ysfumXfolf+7Vf47/5b/6bn9Vb/YUE599++202NzdV2zAMarVn/ZU/Kh+Vv4nynek7/H/3/qVi932h9TF+u/sFbnk/3aQRuV4EEQynJeNpFUdTGM1KhpOS2SVCliRXt+sarQVY7+kRh2+/zYNvvaGkizVfw/64z9HzY456Y+qWx2d7L/Fq7yU+3X0e33QpJavtwUEF1L+9Qzmaq8xKrrSZlAPuvfEW8fZjstTgyN9i+9Ya279io38+oOv6Cqi/ZV7hprFFOsn4vbe+xp+99wb9vRCn36A9XsEc++cS+d2lGhtXW6x1bFbMjOVsTm82RNs5JD6ekCQFCRYTt0Nfb7KfNNiL6swkGULXWH6+5Nsb/wuvX99Bazd4YbzB/9X7P3Hwdp1H72aSTIazAV/z3uGt3reVZ/1n9S+iJV3lKz4OA4qjx3x+b8gXt8e0Spf9zjXuGw0GkxmHszEPKBiIH54Mdlomz7/a4crVJpGZ8K6zzzvRnzM8+Y5iSK9ffZX62mex0iarM4Pnh9BoT2nfyLl+cJOTrwx58mcH7D8ZKRn5mWkQWS6lV6d3rc1nf32d3/idddzCYe87BQ/3x+xe32P/+jGjvkPxpMP4kUUSx1i1mLU7M75wK+IFK8IuYiId7vkjhvYQa+hhnzYwjjqYR23sQU0lWESpzoFWsKeVHBgZuwKuyI+RaWcq5UJ+xRBQWLWr6GkFdV38buAktxQQr9spRj2gbIb49RCvFnHFydkySrYMWDdg1dBoioSSkjavqgKrleSPrti7AhQqgEhtm+SasHoNcgVYXzC/U/FPFECmKMmUtGGJlZcKhHcpsbQS0xBwPSc1c3EwI1V66mpOoUDxNDJIc53CKCncDGoJmpdQCGAfaxTzkmwCUV8Y7QVhX6THSxIhWmSlqBtXkxYB7JWkWzV4lC9JvdNUAHiLTH0Gk1wyH01hBAgzIMeX2tDwW5JV6+M2XRlTKpl/q5DfMcEqMyXhLGvXsmBhaiWCPViySCEZy4uiJN8F5C8lyU8nE9lB+Wz5RVaoSMGLqkSGQa7pagKaiSeXKYTygtzMSM2CxMyJCp2wFNa7qTzr5Sy1Cw0RDrCLEkds3NHUMaHnGUaeoZU5xnyONg/QgznabAbzGbrEWYA2nUEUqoGwkmmzHQzHxXA9JWNlejV0x8f06hiyeO7ViHsOoyWN05WSQTtjWIuZ2QL6LwaTqU0trVFLGjSSFsaky2zqchwU9LOMqEyJi4K8LEjlN0t08sQgiw2KVMDIQoH6upujuSWam6ljISsiEvF/Ggc48YxVe85qM6FZS3G8gkLJX8nxkDPbMymfrGLtr+L2l9FSRyWNJF2dyZbG0a2UwXJCLFn8GTinYA1SGCeUgwyODAiqRIXODYvf+LVlPtP04N0x0+0RU3eukg9KU3JULJqbTZaXm4yilK/9Qcrhk5L6iwPyz044zFYUG9bTA65a+9zIjtR1NJlqzMKCuZUyMzPmnk7gORjCVtYt6hi0Sx1Xjp+i4LQseVAYPNZ8Hmht9vCUiqieT9CzGCuxMIYWxUB83iYU0xFFFCi5LXtu0oiaNOKGirW4puwY5DqdOyGaPcMxZjTKKe10TgudJjoNx6Ap0tdmk7DoMg9bhJFPIStv3ZTh8zmPXyp4XNPYQyPVoGHluHZIwpxhNGOYZmRZhhdE+OEMO53imTFmzUSvmViFzu1Jk1fSJa7Q4Xii8foo4kmQcxrqRLPK11IWRk1Tp9HV6KzodFcMltdsVlZt1tZc6r57Dp4rAN2wiCYWJ7sah9sFu08ztp8mKtGsV4/54semrLXFn93k+NsWJ2/miq0uIGPo20Qtl6TrkvQcvFWT1lJJ1wzoZEPaUZ/G7Ah/cEA2HBKfDEmDyg/QcAycVg2z08RqNTHbi9pqorXqnLoFB2bCPgH7+ZTdeZ+d8RGB+JjFBUaqs5x06E3r9IY+vYHLcuzTzV1ct8RfEuBeFpRCYmNIrI9JzTGFMaM0AgwjwtYTdXWW//RSkm4MrMLEyC3KzENL6xhJXbWzzCXPHLLcJcscikImyhresoO3bOMu26S9jFk9YGxNOY7GHAcDjsV7PU3UPUcYIct+m9VaV8W1WpeVmgD3bUwl/bgoktTTFqnwJbUZpBnH85CTIOJkHi1A+7Bqz2Ycj/vMZnOKsUk5a0DQxow6mEiGuU2nq7GxoSlm/Qs3He5sOfiWRc02cWSR4Ke8WC4LYGIpkByeEB+dkKh6Snx4rOJlFr5ZrymQXgH2EoVtv7aMudIjrolCQM4sSVWdyzlSFLQcm7Zr0zZKvL2/ILv/FfLje4pJa9/5EtbdX8PoXiWNc2anCdPThFk/vWif1X7CfJCo8058J/Msw/ZKGislviS8tIR1H4G+YAXNK2bQJMw4zU0Gha0A+5nbYCa+7LZ//rncJKSVzWkTs6QnLBk5y26J2V5ibPcYGC2OU08pz4h6jyzeX1kSwN5RYL2w668v24qB91H56y8iB5/vv6XAeKnF5FCdh0bvhgLjTQHj1577G5ftPyNA/KIWuU9MgpyJAOxBzijImZ63i4X3stSqHYpH9/uKsFKbvkHT1Wg6OU0rpWEl1LSQcB4wnoVMFZCfqteexjBNbTWmVEVJ8FYLm65t0PB0Gr5Js+bQbHg0Bchv1mjULJrymGeoKEC+jL2SvFRRxu6xKLXk1f3vrO+sfbEfSnVDHlP9IkSh9pNEdemrtl1bo+kZ1F39/O+q96akr6v2Wb9IYv8iHwdip1BMdykmO6rm4x3mu/vMTnLmA4vZpE4w7zGfNoimYm8jU6tqkVsZQslit4x5FzZYZ8nH59uqSiJrft6utrOL7cVrCtMtkTlULOz+iuEvc6okNkllAsqFApvM5+aWycSxmXo286bNrOYw9SymjslYFi1EKl7uo6ZG2zZx1VyowNQybC3H1FJsUkxEySnGKiNMQhwClWhtG1ILLL1QAK8tSZCWj+16WLaP5Qg7rIbl1Kn7NZYanqq2SJudAe0/9Xt4Xv1Wg3vkg/vk/fcoIvGStplubzK832V4TycWiWWrZFTMSRol2ppPudrm1LJ4GGSMxZt4MGNrPlNzamUPY8sXJNWoonyHYkUmQINlUi7kiWVboQQCMMu2Qr7PYtWnbMYW9gZrKw3u3lzi7q1lVpeflQ8eTjK+8fqEr31/yrtPAtBytq7M6Ww9JWt/lyfTt1SCqICJ3azD8qxD+8DBu19QO7GVKIgUlX6/sHtSl5XKG+/HhXY+UGReWVvrkbdbTDyfY9PlYa7xbgIjS9Sjcmw3p7QCZf3m1wpqPqy5PeplFzNpkIYO44nBaFopQUgSwJWeq/zrP327yedut6i5Pxvlh3Q6Z/cPv8l7/7+vcPTtXRGaoXmjx53/4vO8+H/+B9iNi7HTj1Ik2fL4G68rUP7kW+8QCVs88YiHopte0Oi4LN9dZePXX6L1iQqQt4Ww81MuyiYqL8jSlDCKidOEOElVInSUpuSmpqTDJUqivSRiJEUVM5WMW7Wr+GxbonrO2T7v64uylHEsVm3V721S0ChCunsjlvdG1J5MMI7mikBQX3foPe+x+rzD0h1PKQeYkkSim1h2C8Nqqfmripb4OzcXsYFm1JmmsDcbszsdsjsdLUD7qh0vTg5Jhl6rNxRgfw7cNyvgfrXWUPLkH/odCqN/MGG6f8Jk/4Tp/ukiVu1UFpAXxW03aGws09wQBRaJyzTWxT5lGefHPIbOfr9UZLaDSMXKj7zazpRdSaSY5+qxsxqL37pcq4wqIexcfl8AW1lbE5n1hZXX5ccWvvdnsvyXJfnPHxMijS7JYx523VefSepZ+6KvpuwD5Ly58LyXv50uAPz3AffRKWVYAftKsUnAdJH/VKD6AlwXOfZL27xv+9l95LmSaPXB31TAVgHo88lj8smTRXxcgfaSPS/XUG+5AuwFuG/ewGxKvK7+lpxPs+3+uRy+gPbj+0fq9/hBRZN7ix6KKScaU7RijG6IWqWG2WhjNZexWmtYnU3MegdTlDKk2qZSzDCcSnVBtiV5T9b6dHsRZdt6X/vS9s/zuEyOXQXWn1ZgfTR4th2eVGD+WTLEWbFbvrIy8Hp1FSUp4hlLieKiXSW8VCSvi/bZsa4WeBfH+KXHn7GnKHHa/oVqw7pEUW5oqUSGC6D+stx/opItpk8PmD7cY/Jwn8mjI+Z7fTV2kXu03rX442/+e/7fT/d+ccH594Pxf/7nf66k7M8euwzG/+qv/qqq4mVlCTPwo/Jjg/P//J//c9bX11W72WzyqU996mf87j4qf1fLLA/498Nv8weDb3CSDrnjXeW3e7/E55uvKKbmX3eRxYvxDEYL0L4C7y8A/DMCVjg4Zf7wTUb33yQPZ9TXmvif7DJ+acxe85HK2HylfZtXlyqwftntVBf/4zHF29tK/r54fFTRaTsefW3EgwcPyfaeqsn6qbfO4Z1Nhr/VYvjqgFxYs/OEeuGx1lwhjEJ2Rrs8He2SRwXrwVVuhc+xMt4k2C8Z7AaMTqJz5SEB7ddXPLUgu6rF9KIpvXEfazRWN6RUM5m2VrhnXuXbR02OOOS1z/8+k08UGInObw8+xv/t1f8dD143+N43EmYToQ9mfKf1Nu9d/T7r5XOsZdfxcpnIWjyZTxjnc36lD7/5ziGrcY5W3yR3WtgiUz055Hu+yVfrHo8LHVfXeel6i5Wex1E/4Hs7BxxlTwl5iN6csvr8dVZf/gSNpI2T6LTjkqy3i9V6wl3u8Ep0g9ofwcm3hxzFIQ/TmCe7UyZjYQ9Cb6vJc59e5pNfXMXXO4SndXZqpxy9tMfo6oBs4JM+9Di5rzE5dhX4+rlPTvny1TEr1gxDPMPP/1WD1spLShBdYVgrA/AFW30hICULLwo8l12kXXl9V2TqS/HM5kr+CXtbeczrFZNbBq6LR6s9znywFtuKUa446NWjlybmZxC88hEX7nMpsvgJqazG5Vklv6vev/gLVQMTeSiMdOZzg5nUyGSQewyyBrPAJUxNBThHAso7Kfgx/taIdm+kvLf1sUY+gXBcMujDONKI0EgE1BY/QhvqzYJeJ2Glm7DcTem0CnRXIzc9SquGU9RIHtocfCfh6O2A6bFI7ZVqQmm0C3JPw3ct2t0mXqsDbotSFoQk6SEcYsxO0CZHFFPJ6M5JI/FHBMl+KGQdRCwQLSFp6Crark59Rae+auAvabg9DbetY7VlUCjgYpWMIORpxcdXzP6ykpZXTPtFXfz+6jdVsdItEEd3URZQlo7qOBAeesWASbWSxJC2SMXb6LmFkYmsvYWhqolR2hilufgbAuxWSRTGLMI8nWMdTjH3RuiDUwgmFHlEoWQkhakpMv2SIVv5YqmoPJx0Mtfh9OYWJzdv0e+sMjI7zLIG8Uykaw31t8xUvtMcM0qx4gRDXsvWyeo6sZOQMCEuJyTFmCSekUQBySxQ2emSOVsKy1aTo1DOA10xFax6HcNv4rebrCw12PJc1l2TRj3GacywOxGG2Avs1Unvd0nvdcmORO5WBrgh2UrC0YrGk57OoacR6zp6puOEBpr4I04iStG4fM9W9gBLLzj8ypfX+KWrdeZvTnh774Cj2hhfz7kRGKwj4JrD4+M633vDRfdMPvmfm/CpkAenIU8OdaaRrL0FrLV2WfP2WUunLI8zvImHF9QwhBqA7JSqTBwlN+fVKB1PJcWI76T8xqFucGT5PCgd3swc3sosxkWJXgSYcv5kooZQYoryhDwnjhUQJ5PydB5hHuk4xxZO38UberhzT527eZkxt8YE5ohIHxFrwv4PEH2QmgD2uk9XX6Wdb+Jny+hyzDWPCLp7HLRDduoe+65HIFnQpkFLgLsaFFbBOE1J8upY2JwY3Ahsnjcb3N5cpnN7iZrvkb8zRjueqUV8WWRJ5N451DmIDfq6SV+H07zgJMyYim+bpSt5veVll61Nn40NqR4b0l738LwLcFgSeA72Eu7di3jr9TnT0xEvXx+x0klUgkh5kuHvj5jvhIwOSianJlFgqHtappuEdYtZ0yNqOyQdm6Ln0F7SWO4YrPUsGnaJV+TYZoq/XPDCp+9i25VfmLDcwuOY+V7EbC9ivh+ptorCijYnnDpj+o0xk6UZg9aYvjcmFglzR8dyTTbbSyzXOpwEIw5m/cojUcmTW2w2lthsLLPVWGajvsSVWocN26cmCUpxSBHNlfVIxeYUducZ43URhemWCLugIIvkeCmqKte8M3lclfSlq/cjSQilI9fSjMSQhTmxAUiJ8ph88b7kCeJPrxImDKuSyTcdXL+FsXQdvXcNrXcNvXcVzf5wprkC8Gdzjk6ecHT0gMOTHbZPCvaGS5xO15lMu6Tz+uLNiT9fDmKxYcuib4HjlwiJ3fdFXlWjUddo1gUYMpVNww+rnmVSW0S5h6rFtqwC1ecLUL1qV3E8nTE5HTEair/8lOlsznQeMg1jtW+o6+oao5RbVDKU+HjayjuwkhsVH8DKOkDuwU3HoqVnNIIjmpOnNIo53WaH3pWXWLr+MbrNlrreCKDfkNe6tJiSZwXzQapA++lJQv9pwPGDgKMHcwKlFARu3WTlls/KnRort2qs3vZpb1TsTpHtjGcC2odMZiE7pxG744T9ScZBUHAUwiAVpRkB/3OceE5jcoo/PKYVDmkEI2JcwvYG88aaAu7Hel2N6RzXUp71z12p8fz1BnfWHeVpL6y7v+kiKi7vvfeeaj/33HO/8HN/kVsXBYZ8Acbn/SeqX29tVGD85iuY6y8q+fSPykWRc3sei/dysQDVK2BdxXmuWO6jea7Ad+n7oWC7p9OS6Bu0/AqQbvqLvsVjAlD/uIoSat4Xz5iPBowHAybDCZPxhMlkzmQaMpknTOYp09RkljmKhT/LHWZlnVKkN6WqhNQF21gWoX+AQoIwYSWBxjGraC+2f1D7bD/BHeW7kYQElVAgCQuL9pm6xuUiQJt8Fz8cyK+iZxbsPH2o5s5Xr99UCbZiAyPJAxJVkoEkCqQfTDg4b5/tnz3blvl6nJUqWaBTM+jWpZp0G8albfk9jb/0OqV+J5HsnQhov30Rg5NqjnUmiap+jzPZ04VkqlIvkczfRf+iT7bPZVXft/+59OpCOlhJwitZ+PiinYbKLzeZVlWSCZNZRjwTj3lJjNZJIl3ZgAnAH0U6w8zlOHfp4zNSKj0y/xQGq66izEkzURPTDYqFYpokbua6Ue2zqPKY+OjmhljzVFUl6qnp5kJu+ZLEmVB6WppGW6tiS9doS9V0OoZGy9BwZP5x6blKwnkRzxh3Z68vXvXtGy3WPr6Mv+R96G+lQHoB7PvvER+fMLnvMX60xOhhi2hqkhomM6dkmE6J62D2aqTdBodZye4oRFMZ5qVScNNEFUySxEV9TsZCSrFLPL2qPn0h+6vOfkmglFmN5JCXYBZgFRpmUamZGeiKKDBwTeKWi7PZ5tanrvDcC2vcvbXE7RtLeCLfDQzGqQLpv/79Cfe2Q5WE84nn6ty9G+GtPOLp9G3uD9/hyfihGqMZqcZS0VMqimdJ9uffyaXts77FKsCH7qNi+ey2rAtkkwR/5rCctXD7OtZhQT3y8COPLDdImnUmXo1jw2FXt5j4HvO6j7nsYnoZsTFFsyMcmUdg0tZ6+EUH4hqzicXpsMS3LT59s8UXnm/z+bstOvW/2j08m0VE2yeqhk8FAEwwmj6mqt4iXrTfr5YQng5597/7Qx7+q28yfjLCsA02vnCTF/6Pv8nmb3zqGbDx/SXqj9n+n/6Ex//yjxg/GJCGNmkgQJlFa73Fxhdvc/UfforOZ28rL+IfVIJZwJ/9q9/n6V+8pcZwov4ryZmSqFkpLVWKS6otazeZgPD5ufqG2PoqNQ6lPLhYm/ohRRJKMtckP68WeFIdNJHOF3a1yNP7rmJai0KZfG8yf7cdSdI0lVKgssJSURJrTVqOi3M0JX9vn/DtHWb3dtCyAr/TZP3Tz7PxyedY/+Rz+L3qu6hAM2EQjymyiWLgF9lYxVy1q22RLn+mCBtVAHuzrgB73WpU2wLc5yaHccFeIAoQMTvTEfvTMXuz0UXigK6zWa/Y9VeaHdZrLWUVoV76fd/V2bGi1tNESXEWkRyPqno0JD0aER+PSI9HZLPw/PlGzcVe6eCsthVobaRyDSnQkwwtzdFkUi0KYGGiAHYBLvPkL2eHy7XRdCxMx8YUCwRJ1ppNlXpWu9vBUKoqlYx+dW295DV+du195rHF4888drYtxJRcrekk05B4OieR+cVkVsm/f0ixfFGB8dVnVhaS54C+p0B81b4E6MvfUce3KA1IFELbQl3scr+s5Z233/fYD3qOnLudGxv07lxl6e5V/OX2hc99npBPd8inT8jHj8kWoH0RHJ6zu/Xa+iWwvmLZG42r6v493xsqgF6S4LT0gHJ+n3J2j2L2DmWwVz3f7WL2XsLsvojZfQmzffdvPKH2F63IOZbKNV1AewXkPwvcR6LeMYvfd2xrC3uI9x3f6lw4G7csHldjkEvPVX0X+0iJBnOCozHh0aQC8KVoQn5oKMD+zGqhtt7BX5fYxunUPpAYkccJ08d7yr9+59tv8N/9v/4//Hfxo19ccL7b7X4Exv8NgvP/9J/+0/MD5SNw/qPy81DEr/k703f5t4Ov8eb8IW2zwd/rvMpvdj5Hx/rpZ5z+yAtBsrg5qQB8Ae6H44KHrz/m4V+8zsm9+2rg7PW6NJ9bJn+u4PDKNln9mFvNjXOg/mZ9U13EyzChuL9PvpDAL6ehYnUeljMe7W5TnOyqieHQXWH63A2Gn3KZ3Yq4/tJNYjNlVgSM8ymPxk/ZHu4wnI3U6/aaPVbbq3TsDsahB3s2+b5JsqcR7pWEJwIwisyZTrvtstYyWbfh2mjMzckpra7P/OYd7tvX+N3jt/gPn/gK6SpY9zP+4faX+Mf/+e+Qpw1e+3rC/TczTqOQp2v3md6a0XLXsYYJrVqPuaFzLxhQz3V+O+nyiSCkvjPEThsYGDTHR7TGBwQ+PNjs8M3NFo97HhviB6iZbB9P+O5bx/RlEBSP0cRrfdmhd2WV1XYdlk3MFY3y6jZW+n2m+yHrxQZ3T9e4ud3hOWcLbnb45t6M73/tmMOHQ8pgTr0mg1iLjWsdfKdD6ftEn48JfmlEthxihiXz+yXDe3UOH63QdA2atQy/Icy1DF/8c2oZbq2Ktp8pD29NWN8CmgY6ZmBghgZmJJI2ArLLQKEAT6TDBeAUT0sB8WTiL+OKis9eTa4EvK0mWGfb5+0zGXhhMKkswCoTUEH10lYS7eqGXQHvpdiPloi1vKhhxyOYDwtmI5Pp2GSS2cwMj6nuM81rJLjgaJS2Tm4ZpI5OLiqEzZTm+oTljQkrazOWVlM0x2QUCoivMZ7mjASUDzSCQCeMDQXkembOSiNmtZ6yUi/oeRYFLkFqk0Tih27TnJTYDybM3h5w9DBld2Apr+aek7LsF8RGm4m2idtdxlnyMNo2eU0A5hIrzbDzGa45pdYIaPRKmssWSysOVwqX7jE4B+LZFCsZ+tgxOA4zHsxTjoxMLdxOJynBOCPqJyTzlCRNyeycogFlU6Ps6WirOuWyBh0drWGCWuwzcBB2q4GVm7i5SSu2aCcGdlYQzseYdk6tLR7zwlbJ8MocdxFtpRJQ/V4i8y+WCaJKoDyrFWO/SuwVi3uR0S/Ump6uyBsiVWhIu6z83VS6QCks6JRYj5B/YSoS4inprCAPPJK5Txb4JFGNJKmTxHWlfiD/07UYVx/iMsD2ptCNCOsFoZkR5AHxNCEeJKSDnKJfkI5kIUtE3cS/ylD5HWoC2nAx2zZWx8bqmbgdG6/j0uj4LHdq9Hwd3xKp/IA40xhEDuNhnfHEVQuMWqDhD0pq85TCG1M2J1i9gFZZ0NxpYD1uUDxuU6YGhh/j3ThFuz5ifC1k1/bZzpoEqcvK2CQ+gpPjgvyBjrYjgJpO+7bHxz+7zosrHtOTAd+K9tipT7kS6Lw687kd+dx/zebptsXaas6rvwWN2z6nTZ+Hhcn9YcTpTHzBEwxdwOgjOu4xPWPIWjKnN9fxwyZu2VFsegyRh5hRBFUSlFKzEAl89VgFHk8tnz2ryduax+uZw2mpE6vZg4Yvft+uxZLnsuz79FyLjmPStg26jkm90Ih2Ek7vR+y/PeXovTmTw4RUJqqSKFAPSfQRQdZnGh0TTEYYkU0r36KdXsEsXCbWjAN/h4HzlEQPCeQ+J1KDSnVDWFcavpK9lEXegplM1kUJJId6olPLdOqmheVbmK7BSqvBar3Giu2w6tdYdpu08xacmgT7lY/8aVpwWuQMHa0C7tOMkSxaKAm2QlnMrHVKVvyMJTtkyZjTK0dY4wHz/own8y7T5essv7yE3zTZ3YbJbsi1lZwXXrCot1vEcZ1o6hIMTWb7KQPx/JxKglJJaugk4mXYcBnXHKKmRTie485y2mlBMytw5ynmVMQYS6WuYdkatQ2X1pZL55pLY8ulvumqPnfJvpj0lyWjeMb2+IididRjToORYqULEH9Wha3+08hyl/vDOZXqUkmmGfPdgOlOxHw3ZLYbMdsNCU/EEqPax+lY1DY9GldcyvWSSW/CoDblMD9ld3rC3vSE8XzIWpZwJU94UdO5UWQ0tYW/fWcTd+UWeu86+tI1tNZa5eH2IaWIhuT9t8kH75AP7zMM4e3xLbbDa4zjGuPIZRpKtZiHJmFoqPuAXFtUcpbc//QKxJdjOzNTSisFuffaOZqdLQD+DCxhKqKY+CLPf3nB+nIR8L4uLDHLVPFyu2abeJqGG0U40xnOZKqSGa3BEPP4FOO0j5nmTA2DmecSry4T9nqEnRZBvc7M95kaOsPhEcP+AcP5TCX9Kalv+e3tmsqoV6x7pwLrO56jmPgSZVuSDeQzOMLKm+QEOynTpzGTpzGjRxFBP1HHkOubLAtgvwDrJXaveArgeH/JipLDacbOKOXxMOHxIOFRP1JMX1kYrpUJS/mcZjCiPj7GPDrg+DTilLpK4BqaHaaK1WTi2Aab9YJrPY3bay4vXG9w+2aH9koXy7F/yDFbJbpGaUGUlkTJIl5uvz9eagdRwvHeQ1pOxq9/8RNcWa6x3KoAuZ9n5shlafn85EHlGy9g/PEDxfDRa91zmXpz4yX0Wo+/a0UlSF8C2s8Y7mftoYDtYbEA3wWY+CBw3BZwXYHsBi0Z778PdJf4VwXb/zpKJSkeKvuCYj6gFM/f+YD5eMh4NGU6CYimY8VytoTd7IoU6ApOdx2vt4WztInTvaIUk37aRVj3s0jA+kpNoALuiw8F8iXKvgKqnxVJBBoOlZYYnU5XgQc/qEhygShiSfKAgJRKHWuRQCCPSVs9LspZ0r6UWDCY5QxnOYNZpo6Ry8eFXBFatQvAvrMA7avtCsyXbUk0+EW4fkiR5Fvl0658dhdgvvJwr9pn/u+lUaPUmxRGg0KrU2g1irSkSAtyATySogI+koI8WcT396cFWZyRJqJUVBAnOYkcF2mBuFKP8pJRWTKWKhLui6g0adShsFjHLaBZljQkFiXNvBQVbNVuiDVcLiB3NceVvzs/DtTzxF5g9eNLrH5sWcX62gcXwst4Qq6A+ntkJ/cYf++I0XsukwdNwlGNtLDJOjZDLWeYzCjOlo+r/HUhryPDi2ej9sy2aiuFOYnV9vnnuzzEWMzVhXUpYLeaZsm5ZIgtHCSSKNl0qG+2WLq9xOaLq1x5aY3A9/nuYcZfPEl4cpxi2zqffqHOFz/R5IXbJgfBI+4N3mZ3+lStkZ0l9C/S9i/i5b5FMv/596VU4TSlzJDEotBgkCSLGJsEQcHu0QNKb4/O9ZC5tqsS+wUAy5OMRlajFrr4U1sB9+ZRgTmxMSYORWAzc32GIkNerxO16lirTfQ1j7SrMTMmpJp4fxtMBzXiUZNk5itw9+qqyadu1fjlW02e79bp6DYkIgldAZfxaMb86THh7inBfp/oaEh0NFLKbAJOq6RX38ZrNVhfXsUpDQWWvr/I93AG1j8D4rd8pidDHv/x6xx9f09JVNdWXG78w09w9//w9+i8UMneizTz/r/+Kk/+1R9x8K0HRFNRSfMwXY/OnXW2fuNFbv1XX6T53MYPPHeP51PePj3gre2nPP43XyX9yttoccb0eodSmLOWoVRsDVHHM01M06yitaiqz1AYSFXN87YtwLltKR91x7FUorFtWcouUk9zSrFulLXHIKKYx+TzSH0mBbrO50TTOWEwIxVPa1E/1IuKULCoIkGo+zZGXUB8G8O30X1TrWMVb42xT1Bjv9VXbrPxqefZ+PTztK+t/0TXVWGmKsA+m1JkU8psRq6A+ylFWvWp/nz+/l/7HMDXzDrzwmaY6pzGcBDm7AQpj6YRj6diX/aTX/f1KMMZhdijEGcYYg9DtW2IvLltUMg4XqIlVVdRmNKm62B7Z9XF8Vxcz8OtuXg1H9/z8OsetXqdmrRth5ol8wMbLcuVtbOMIb705S/juO55koYSOz9rL5Jwqm3JSbq0rrhYc6+i9FXMYmlLAsZqrclaraFs4tTvoa7PqTr3LgD7ObEC8aVPSBoVmF+1A/V4Mg9V/2W/+h+piGqUJFtbch6cscQrGXbVJ23jou9sXwFHBw/3CAcVnug06/TuXFnUDwL26rNlEfn0qWLZZ5fY9kVwfPFeapuKaS/2Ltnwnep+K1aPrdvPgPG6v/oLM574qHywSIKHJAXMD0YEByPmhxLHzA+GBIdjRUA6K3IeC2CvQPuNDjUF3lfMe+k7Gpz8tViJ/42C8yK3eHZA/87v/A7/9X/9Xytg/iMw/qdXLoPz/+yf/TM2NqqBxEfg/Efl563sREf8/uDrfGX0XeV9/GrzZSV5f8e78nN14xsPQ77xp4947asPuP/aA6Zy4bZs3K1NnDtNBV5HS0e0OzGvrt3h872XFbteWPYqg3RvcA7UF9vHivX6NJ6zfXKAPtxTclCS7T5zPMpui9rVZTZeusrmyy9Rv3aNA3PGvz/9Kl85/Ra74YFiuz3fuc2NznV812NehszKgHE8p78XMN3LiPc04j2IxJbnyGQpb3BDM7iejLhpJzz/iXWsz77E/9N4nT9sfJ8kiXD+MOUzD3+d3/7VL3Lj+S6zmcu3/jzj0eGUUXdEeU0jsR7RYgW/d4WdfMJePKKeW6zjcaPp8cWJy/rDFGsa0jl9Smd0gm4V5E2Tp+tLfONTm8TLLnqp8TgN+d5gwvioT7h7QNGPsYMWftnCLUwyV6NY1eFKTH31GFe/z3R4pBj/a3GX541rfPyl57j2/Itsv+Xw1T884vTpECcLaBgBWhRSxBpZpGF/uobx96H4XIzVS2kac/Idl/CkyXzoE45c5kOXYOQq6cFS6M/CZtZLXD/B8VJsAWJtAe+iStqoCChk4VuBpIVib+dRSbFYBFGHcKGhK2r9goGtZvOLWJ4tAggFfwHCy2LC4jFlNZTLYFsYuiZ5qau2iOeL13recMiXPPKmRyZ+87qD6KuXVonmFLjdGKuToDVLtDpEts68MAgyg4ad8+q1Mb+8NcIxcqZZyjCJGSUJD09sHh7W6U8d0qwCZNpuQdfR6ToWK75NzzaJc4upSDUG4IYRy4MBK4fHTB4H7O5qvDes009sJRkvgGPPrdGtL+O110hbFmnXJGnoKqnBsQuW/JyrKxovXHO4ea2uJqlShCla7k1JH45In4wpZqnycd+3HB44Nk8aLlNfI6qlxG5M5gQkTkhmxWRGTG7mFAKCy0qMMocHUaK252BNNIwhaP0SjjN00fef55TzjFIX37SE0IqYExImAcm8kiVTst4yydYqzz8Z2yzkDrAsjZpvUJdaM6n5umpXMqZVdSUrVw3AqoWXOCoI5gXhrGAwzjgdJxxPEyIMGt0aza5Pq12j067j2NV4KUkz+qMZp4NF7U8ZDEUy8SwjdKEEIQIQZ1G70HeQrFK7a+H0pJp4PRu/Z1HvOtS6DvWeR7NVx9c96qWHV/joqUsWW4SRxijJmec5mXyvlmQzl5iahqOLb7dG3cpwzVBZCkwih+C0xXDqKEaQqB14QzCnBVNjzmF9SLAcsD7w2XzaoPO0htcXSbwCa32MfaOP9tyIgzXYyRq4eZ27E5/v70Q8fgLl2zba0MRo6NSv11jdWmNtxeUk7fPQOSJwp9zq23z26RKT133SuOTlFyNevBYoP0bEm369yel6hyPL5XAcczAKmUYZRRlj6hNa3hFt+4Rlbch6FtONHFxzHddZx3Bd9R0U8RQmQ4rJkDKKzq0phHEvgH2sG8wNi7FhMTQsBlj0sTktHU5xmOsOiWT4GCa2oSvAvuNadH2bpqgI7BdouznZdkLwOCGbykIe+D2T7rIsgk7xjw5JDmJG8xajrE3k2fTv1jh+3qa5MuOuPVfMhZ1wzhuzhF3J9C8KrmYxt7KQJT0jzmOeFjmnwuIJLexBQT6OFXs3SkOSPF74sEPLc1lt+Cw7Fh0BeGdzWrM5NZFAj1LiWNj1nmJ89alxSoOh2WCk1SrvM8tgpWdx+47Pcy91uPvSEldfWOFgf8Zkf49wlvDWQ493njZZ2/J5+RWflz/ms7lVAeeKQX2SqOvO9GnI9EnA5EnIdCckFHBhFirpYa3pkdYtsq5Hulxj6juMXZvMF7bbhYRoXfkKa7R8jWZNo1WTbV3Fsz7xHv5ZMIt/WMlFXn0nYiqA/bZ8/kjF+YEs6lfTPLNm0LjqUd/y0Lc0xitTTppDdrNjngz3GQ+2WQ4nbKURN4ucq2WBb9rYto+9dJ3m+vNYyzcrwN77IGNIsRZGIk/7NsV0jzIVr+tZ5e92tk8JQWIzyzpMsy7TtMU0bTKNG0wTn2nkMg4cRoHFLBLLFr2yI1ksStlOiekWSq65qjqeqga+YyhJVc/S1XW4YpSKokoVFZtUts+AofP2RRQ1HWM6pDw5It49INo7XMQDcsniVAQfQ8njO1vrWEsN4vKE6fQBU+bM68vM1j7BtHuXCQ7DMGYUxYzihFGUMI7EfuCHT7v1ECxJQDvRcU80nFMNc1QlA+qyiLqqY2ya2Jsm7hULb93CdSvGkyQgPNdr8dJKh47rcDLPeTSowPoz0H6eVPeIjmewVYM1PaGXTXGnQ/b3Zzw8StkeleyHNqOsAuPNMqOdjamZYnHiocl41XJULUybXLdU5dLic8XqefazyaZjVb+bu4gCzslvKcYyD7ZPGAYaul2v7qsLcG+lZZ7X5abB6qK92japOX/94JtaKknmFMGIMqyqSs46awvwKmB8FismvDDilUz9xsvorZ9sEfsXqcj3dDzOeHCYLGrM9mnKPHof2i73LUfAdJ12rRoXVVGutcYCeK8AeAHcfecXW3L9h0oWT48ohjvkg+2LODm4YHo1VjA6V9A7VzAErO9cVeoLP4hp/9dVzgB9AewHk5g337mnQPSXXrhLzbMr8F2B7GdVV6riP63fTY4tSSB4BrCf5fTPt6skD0nwuHyFlcvIBYBv0hVAvy73Cp26UykFqPaiyvXkTFb8o/LBIooIJ/OE03nK6SzlROJiW9ry2GThU35W6rbBUs1iuW7xfNPh7iyjfG/I0fdPGT4aq2NdmPSrH18+B+xbVxsfBOuziGL4kOz0Pebv3GPwrSPG79jMdjyVIE7dVh72RaLE4RfqCBLFOkpYdZIAbGM2KiDSPKsNC6vpqGo2HOymjbnYthrSJ/tZxJOI0eMB43snDN7cZXLvmPnOiPHhjGCSUIiaWyHWdzqWcO0F9BEfecfE9mzCRo1HnS73ayLL7+A5Bq+sGXz+psvHbvroDZvYNkksi9gwiEyDINcIooK5JMkEOfOwYBZKzJmLdZhYcgW5StD7sGJbOr4Dh8djpaJXFzDQ11laKmi2A9zmEN0/ovB2GeU7HM33GUvSpTCAxac7KajHPp5YQZyAdligjwW4t9FnHoXTomg21XnVNAssEkZhxuOswY7e48jqqQTGRjJmbbbH1myPTjhRye6mWO6VmlIo8BwHTyS1WzXsTgOn28DpNbFqLv17OwqMW/vEXZ7/j7/M+ku3yCch2SRY1Iv2WX86PtsOlEe0JBT19wec7o+IghRdlyR7jaUbS4y2j5lPxNLIx6zX6T5/hRv/6DNc/199hvpm9wPfqUjA3x+cKDC+qoeMTgYsf3uHjTeOqRs267/5KV74z75Ac0V00+T3kddPVUxVrNoS3799uT+/tH/6zD4XryX7ZGVWxcuvUYqa4sW5qIBbSWwVhr5Io0uiidSFgoSKqq+KcgsSJnS92eLm+vNcbd3kSusGV5tV7XnLfwNjL2FPC6t7sohn4P0CyFe16leLZpeKZrjohoD4wsI/q3XFytcW/ZpZQ9Mrtnf19xZ/95J6xTPvZxFF+j/IEoJUanqpnSgSRZCl59uX9wsv7Sf7iMrZBz5zUSgbMSn1ury/v75kw47rs1ZrKrB+vV7FtXqT9VqTlVpDJdn8ZUXer6yPnQH7FfBufCi4ftb+ST9T0B/Tv7dN/8EO/ftV/UGAvcTaSucDx2qRzi/J4kt8gmb5H7Hi/w6XNIgVSF8B9+MLEF/i4bi6Jy5Kbmv8yz/4Xf5F+c1fbHD+/A9rmgKMv/zlLyvG/K/8yq/wyU9+8m/l5OtnBc7/i3/xL1heXlbtj8D5j8rPa5nnIX8y+g6/3/86x+mAW94m/6D7Bb7Q/JjyKvp5KnK53L63zze/8oDvf/0Bu/cPiJISo7eMsblOcdMlujLBag55+UqTX968w6e7L9CwKuZDOY8o3turwPr39kgnM55MAg6ygnEYKil9N+7j52M0LUU3UpXFaq51aVzZpLja42E35KvGE3ZrKVvNK/zq0uf58tKrdO22+hupSCGXAbMyZFrM+aPTb/GN1x/gvduh8e4S4/tjivGMtTLkVkdn7csb/NNf2+F1c5/kcZ/2H9R5fv/XWW/c5PrzTdprXR7umtzfCUh0jbi7jdnYZuvOrzIzJcN+pgCYuYB1ZUJSpnx+1uRXBg1684DNvfus9I8rD3AnI1yt8Z0vPs/RVptUy9kz5nzfSjieBATzkZpMuXON1VmH+r7O6VHKWHwVzYJyOUdvzLHLfUrrmNgKcYXF3fX5zAvPsZbfJXy4xt47FvE8Z72dsNFN0EYB26/1ORlPyX+pgL9XYNwRD/QzPy+ZsIgUV0kaSma2QzZ3yKYu6cwlU7XqK0XqeiEzb3gZVjPGblXVktiMVJ/liwQT5KlJKZKziSwYmFVNF+3UpIilT7YNMgEjlOe3Ti6+31l1zzyTvVeA7uIWaTg5Ti/G7UbUuxGtXkS7E+E2cgLNph/6jITFLnf4yGA4crG1ki9dmfHqZsC0yDmMUg4i8RSDnZMaT488JoFJxzTYEHlm8ZOzTWxXY2IWxEKLy1Lq4znt0Zj6aMTpYcS9fZeHp3WOR+KZbGHZHkvtNutrbZbW2mgNi6Kuodd0vJqB5+lsLevcWNO5tiyLrxCmpQIN5qkA1SnsznB2x/gHM4o4Z2ybbDdc3luGnZWQwA9JvITcTsmMHE0JzOeYeoKtSyypaSZdw2fJarBsN2ng4WuuUjQclRF7h6ccPzlhsD1kujNmvj1jdjhnPhBZ6VJVeVk7s3ALGw8Xp1xkGSvQu8pKruSUqj4kp6BaF6JcAJilAYWnU4pauatjNjT8tkm9pVNrGNTregXie+IXrdNwK7BBGPcnIZyEGseRxmkIYa7R9mwF2EpteY4CZNTfoWSex0zTkFkSM08SwjBFyzSMXNQALOW/rHU98rZBYlXZ1JKLkpmQOSWpUwrNRUmki9+moRcYhnhrF5e8NqWvUMkr8leVz6nI5WcubtrCkgUOzUAX+f5CR6Y2vpnhm6FKkohij+S0xVwY/7EOiUZtrGElBWMz4GlzyLEd09n2ufqkzcZODS/RaHQn+J/eIfv0kL5jESY2d9xlzGCJf/fOCXtvFehvueiRjrtaUr/SoN5aIzAdxSSfuxO8JOLu1zy8bZ/elskX/0uL1U5M8XgMk1gt7ul3Oxh3uwS2zfG44FDqKGR/HDGPM2UxYBtjWu4xHeeYZSZsZCkdOcK8azjtG2i9rtLFLAWoHxxRiMxFHFMmIm+aUqSJWjRR7GHFZJAjuKqSfBIWkkyjM8kN+lgcay4HmstUswl0k1IzsGYanRNoH2t0+jbmqYhN6uq3atdivOmI8iAiDj0izSNrG5y85PHwBZ+yrnHTClgvByRxn3tRxpu5QVCCl2W8GIx5IRhzMxzTENsMZeNRrUzMi1JJ2Q+ClHGiMckMhhmcRpkCUcVuQ5ILNtoe670G60tt1lttVuodelYTLdSZD3IODlMe7+U8nujsxjknYhAi3rdNAeub3P1Em6vrOT1LJBALHu43+Mq3HOaBRrtj8tLLngLqn3vBw3GeneiLRKRI1Yv0u7fiqPNzejhj+HigrvXtqy0aG6LIoDGei2dxeSkWH+i7PFOSa3DN1WjXNZaaGkstneXzWoH7Py9zGfkegsOY6XbIbEdqpBIXpC0y+VLslkXzhk/jhkt8JaHfHXPsDpRyT3DyCGd8yJU0YiuLWRZGt+Gg1zqYS9dorb9Ia+N59O4VJdH8YUUx/ZIpZTqnTKcVYH8G3D8Tq33OFtiyXGcau0xjn1naZpq1z4F8YcylksR3Xg2y3FQKJSLRmhYGea6T5rItcXFRvmQf88NKr6OzsWqwvmqwsWKwsarTM+fkR0cLwH6faPeQeP+QdLhQhEtDTCvCNMdYTQ3v5m1qn/5V/M/8BlarGp/J+R5lld+n3E9FASD+kHacFwt/0Oq+G8xSxayfbyeEOynRbkJyJL6TJYVc+5c08lWYdwuGVkzuwdKyx/PXOrxypcsrqz1udBrqU/9QwN43uNGxudm1udG1WbJhZ3vE248m3NsNGc8S9DQCsV2IQmXJINe2Yj5DLzIF4hulxBxHL6g3XJotl1arRrvt02zXqHUa1NpNau0Gfquu2l6rpgB99T0KQ3Mcsn8csj+IOOwnHI8Sjsa5Ujg5nVWMe7WIXJRYZDT0hDoh9TKkls/xsjluMsGJJuo9piIvmok3dCV9qNhXCoATtSKRs6lsgTSJMnArUrTzKGzWFG2hhHR2CAnQoyvLEJEhtVm6foUrn/40V179PKs3t36odO7fliIA6cMzIP4g5v5+yGiSKGCnYSQs6zO6zOg2THotm+Wux/JSnZXlGu1e65nf/aNyUcosoRjtkQ93ngHuJQlEijr2WhvPAPYC4GuNlZ+be8/PquRFqdSzBpcA+8F0EWfZObgfxCIZ/eGv4dsXgL2A9dIWRYaz9hmQf/b4GcD/N5Eo9ItQZE5wGghoXwH3JwsQ/3Aa8/r+jDgvud5x+eL1Fp9d9qntzTh+o8/R90/ovzdUDHWn5bD6saUKsP/YEt1b7XOJ2rMiyiTFeJv46TsMvnqP4NEA3Y7VfVh3U5XIZ3gFhltgLqKMBTXDFq3mc79jrFrVthYeyYvHWGznqUM4M/HWNnB71b38/UXuW/H+gOl7+xy89oS3vvOExw9P6fdjgrBQ7lhuodFAp6YZpF6D/eYKT/0uI8s9Z8V/WBGvb0fuqTK21nJVHXJsSWAW1Q2ppoy7cyyjwDIy1ZZ9zr4yy3coOx2iRpuZ3WBUOvQTi36oUeqG+m5bdZOraw5rKzrN9hynMQD/kFG6z3FwwNH8gOP5AbNgokCKRO6rQYkxtsnnHvm8hpM02NQ73CmbvDB3YJDzeu7wht/jvtMlsoX9ndFqz7F6U4pujFZ3JDNSyamvnYGD9ZYCC9dqLZYcj+i7D9n9vW8yvLet/L9f+E9+hdu/9aqS3P7LShGnZNML0P70tSfc/x+/ydH3npIGIabn0rqzya3/8otc/Y2XaN2+YMeqhLNAWPGH52D8g+GJklMX2ffntTpXvnuA8e1HpL0M9zfWiZ43eBg8UN/VDyuGbmKqamHpltqWKH2Wbp8/9mH7fCBqZ69l/sA+U7YNS8Xzv73oMzTj4m8t+tI8YW+6zfbksao7qj4hFlaxqGZYPlcWQL1U1W7doOV8+Dny11kqOf3gEmC/APOVlP6z4H6psmjeL6lfv5DVty7J66t6tl2vEn1+ikXWYMJzcL8C9MMsrbzhZZyqXbbGPNtGkUMu+iXHXPaulMM+7Dnn/UIIyTMO5xNVj2YTDqQ9m3A0n6hjXeYpZ6Xn1c7BezkvV2sNdW5K34rfwPo5Guf+NAD7vytFKSXECfGkSqhQKgkqVioJYnOg4qIvnYdYNQ+/18TrtvA6zfO2ip0mTqv+t/r7LOUeP5wvAPsxO28/4v/xT/7v/HH51i8uOP/Vr3713G/+61//OkFQSQec/ZACIH/pS186l7j/CKz/8ctH4PxH5Re1yKXotdl7/F7/a7w+v0/TqPGb3c/xW51X6Vo/2NfpZ1lmoznvfOch3/3z+7z5F4+YjiNSw4G1LdhYJbviUPaGbK7A564v8atX77LuV5KWAgqXO6fk9/YoxVNr54RiFtPPfB5rLXbjgqGA+cEIJzmklh7Qyg9wyim2XaLXCkYtg/1OzqTnsrR1h+dvfp6P3/oy3pLI0F6AFe+kj/iX4R9wVPT5zPQTXLt/i4ffPODNP73PcG+EJh7StzXe+3zAZEtkave4/fAWnzF+i/CwRZaUdG8tc+zZHO5DNo5Iyge88Nmr3Pn4TcZFwSSOmQclSawRFRlxGXJjqHNzZivvzc7RYz7+ZFtJ3+lGRtwuef3LL7J/e4PYgkN3wr3GjMPjPfqnEzLaOFaTru1x98TE2om5N0jYPxYPpwog1OoxmT4m8qek7Qi8GNvPFUt5K79J+/Aq2n6Plufz6U83eeU5m+jhnHf/rM9edkxZz/FFArhjUl+yaKxY+A3JcLdwPBPLMbCEJSnzc8mvMHNmM5FzLBiMSkZDqRrjgc54pDEdG0p2sRK8q8qFF9yZs32BYWfoToxmJ+hOim6l6E6CZhVoZoHjiP+6sK0tOg2Xru/ii++zsMxdDcspaVgWXc3HK1x2Yo17s5T35injrMDRdZ7zfGq5y/cPY06jnE8ueWx24F4w4c3phKwsWC5N9EHOW0cRsyjnulbwCb+gWy8Z+LaCnsVHy55O1QQ2GCf0j3J2dzyOD31CyZwXPz7LpLvUYGW9Q3urjddysVwN3zfotXRWliQZTySkS3SxAdAKwrwC44NEwIcSPU1oD4csnUzpDSLKImevnfK9qwnvbUaMmjm5TAJkUikMwqKgniR0woylBNa8Os1ei7TmoaUG+lQnGSeMDkYMd4bMD2dERwFBf85sGDCbhIpRKiMMU9NZWkxA1jptNpe6rK92WV7tUm/5CNl7LJL5/ZDpRHzfdYUflZmm1vTLZKFykFWqCQL+KclIYZZLRrGKucq0ls8dZRCL/G8mi1iSgS0yobKomJNP57h6wvJqyepVg7WbJiubGt2lQh2PhqmT5A5x4hGnHnHsE0e+ygQwnRTTj9E9OZ4k+SSnNApKI6awAgojpNQitCTDHlpYfQd97MDMJY8cBdaHbsG8VhLUIahrzBsoi4q5K3L4It8oYFBBLqaMUjTBoHXcQsfTS7XokvgTSj1CKyy8rIkpSFFhouWW+m2MTMPNCrwyUeyFeOYTnnoMlD1DQjyM0Q5jyn5MMokIphF24LDOKqv01Ll/ahyy5+wwNEfq7FLuEoYoiVgMBRyYlWiBTFaFaSvqDIaSnY9Erl+O66zEnpYYsmDmaaxf83ju5Q5XaxZXCp1rHY/u7S7G8z30G200U1f3KLHFOhoXHI1y9sdzDkcJYZxS5CGONaLtntCxj1klYL3IaTvLuPXrWK119GYPrVm7yLA5Z2TGFFFIOhsST09J5yNyAfNTAcJyLPG0E9A7rSRJU7FXSAumSck4LdnNLb5vttmNLTrbCZuPQxpCvBv5KllGFDpqWoaTqTQJJTNPa87hHZ13X16mcAy2siG3ilPq5pxtz+Vtu8Zjw1bM/7YON0yNLVtj2SrpmMJRypiHMbPxnHkQksQxdlrgxDpFois1iME84ng652gyUYkiepkreeJl32Gj5rBRl+pyrdlgZXmLadTh7ScO9x4n7MwydpOM0BS5RZ3VdYNrV+H6DYfljRWOxy3efivh5DhVrOe7z7sKqBdmfW/J+qFg9fDpiMneWPlQdm92qS1/UE71mecUJfNIZJkvA/glo1nB6aTkZCQeyBcAvjCwBahfagnjV6LOSltXQL4w8H8e5jVy3AloP3kUKNWBsyp9UsRzTxj2Atrb102mazNOGkOOgyeExw/QBjusRjM2shgHDcdyyBrLyr9eGPa99RfwW6sYTu3Hfl9KwlcB9j8YyFfSv3miwNMqynVZMto/fEpbyTlqpLmA+AaZOoIdslKiTVY41XZhE2Qeh+MGh0Of/WGN8VySDirvupVuwcZyyfqyDPEqAL/jZKQnI+KjIYlIs+4eEt57m2RvhyKZq8U8a3kV7+4LuLfuYtQWMtXKpuZS4sdi+4K6s+DuXN4+03WWvLGkZHiqMzjV6R8bDE4NxkODRDcIpWoaQVESagWZV6LXdTo9l/VVn6tbDW5tNuksufhti9DROS5KdtOcJ8NUgfdngH3bMxRYL3W5Ziomu9hhKC9svZKmFiWNMoxIZzOS6YxkIt6CE4KTGbPTObPTgNkgJBhFhOOUOBT2lkGRm5RSC5GudyrZ4EtMr+pUuZwZU7UL3aSwbHLDITNsMllI1qSaKNOKM39COR/1HE9PcPQEy5QaYesBjj7H0Wd4ZoRrBqrWzQDfK7E8G5wKpFEDQFuigDg+pQJvXErNXPx+cr/POHq0y+GDbeUha7sOG89f58qLt9h88RYbz13H+RFAhJ/n0h8EvHmvzztPZtzfC3nUz9V1L0tTrDSkER7Tik7ppH06yQCHiFbHpds2CIOU+Tgkjitp8qIURYxKx8fxPLxGTVWn1sCtifRrDcfzcWo1bM9TsrCW62PZjmKmZpl4mkrORKnUV5ymhyP+p3ULp2bg1EwVxSbor1rUtUjsRRaL4D8PRXzu8+EuxWD7GeC+TCqWnUoUOQfsr6A319Dry6pq9rMe33/Xi1LdSUrmcaUIIFUUHmQupNrx2fblxwpmcaGYzB92p1FKRq7YwwhjWq6TEsUPuZLql/HP5b5qn2fb533qunq5r3qNy6z+yn78WS2Wc/ez8v3bZ0zQZ1Tp37dvqRQtNrsWmz2LpcZP31JEmPd/sTPh60/HfOPphFmSs1q3FVD/hest7rYc+m/3OXr9lMPvn3D6zkDJ9YvF0sorPdY+saLA+t7dDrp8OT+gqHFBFqqkOWUTkAYqliL3tuhLRO67HxCeRgSDmFCA9GFKOCqqOtEIJya5YuJXv7DXtWhfb9C5s0r3het0XrxB+3oLy/vwJKNsHDB/dMjT72/z9uu7vPfwhEdHM2XFZuQ5vq7RaDTB7+LqBbWyxBXVojynVub4RYmdi+WUJFmXKioZ/hQ1j1Hx/F65eJ8VSocmKhC2rmztRM5c7N1iAWTihChOVAK5JAePbZd5rcGs3mTq1JnYPhPdQTd0NefsebBVK1jzMtaclLYzQ3MOmWgD+uWAk6LPyfyAnWLAnhMwNkrihfd1x6xzvbHGy5s3ubZxh/nsCrsHHe49tQhiUUyxlGLe1Q1otiOOwwuw8GA2VkDl5dI9Dtl47YDGe8fKo9v/wgss/danWN5ao+36igl8Vj3T+qHHr/gf7//puzSvL7P08Svq/cZZyr3B8Tkj/p3+IX2ZjwEb9RYvLK3x0tI6q0HCO//u93jt3p9z2pkwv1lidD1My+Jm+w53uy/xfO9lBVo7pquA8jMw3TZsBYb/vNxXfpwi14iT4OgZwH57/FiB+MLYl9JwWhdgvYrXVa3bPxv70g+V1F8w8EVKXyT1z0D9M5n9SmpffvfLV1fxsvYrwN7wKlaGAsVVxs+ltv7BtgL1z9py3TIutS/3L54jY49SVisWcbH9bF+1LfuePa76ZPXu/LHFc7m0n4y81Ps1PxAl8T/IcqaJJN9LTZSqpih/9ZUKWGUXUKl56tRsn45Xp+016HgNen6Tnt9iyW+y5DdUwkf13cjxrl/6W9Vn/es+B/62A/ZndgTKYkBZDVwC2xe2BPF4EWWf6QX4LkoZHyiigClj8YaP06wpa0sVfVdZGMj3GQ4mhMOJeq1nnmroCqT3JPG201gA+C28bhNfAP2ugPkC5EvCi/m3CnPd+UUF5y+XLMv41re+dQ7Wf+1rX/tLwfqPwOW/vHwEzn9U/jaU/fhESd7/h9F3FBP8c42XFJv+ef/az+1NUxbknr67x9vffsAbX7/P9sMTBaAUvWWy5U2KtRXo2dS7c57bcPnizQ0+d2Udc+HVp7I+BzPK3VOK7RNVpT2NDfayNjv2Co+yFsdhiRkfYcc7ePE96uUTPGOXBlMFusiAv2Y36K7fZOPmy7i371L7/JcofJc/ib/F78V/ioXJP3J/nc9bH+d4f8Lr/+Z13vqjd3j94SmP/JxJvSDtjdG1MZ9avcN/8aX/mGRQ5903Z8xXmjyq5czuj0nvj7F1gxsvWPzDv3+bWy+3mUQl9x+kbO9njMuMjJiNU42lqcHIKjkwZiyPhmyNQlrBDM0MmD63xPDmOmPP4kkjYLvd5/jg+xxv71AYa9j+HXy7yXXH5+OBTJpjvhHNON0rKLYLzKjECVM8xkTeiNP1nFmvIHJkOKrjJB71WY/GvMWaV+PXP7HCf/TSNbzEZrJXMt4tSYUyKpnAHY3mhkZzS6O1qVFf0z7U4/VDjwHx6JsW9AcF03mBY2uYVslRNGc3mPB4MubBZMj2eKaAepFzfW7V5vaqwdZSyXIrx/ECAm3MnCEibH5WTGxqtLGLNlna4TRs8HRusx2IN5rOkuXySr3BS7U6TmHwrx4N+W5/Ts0paVtTtNEpS7OQW6VGWJh8LTJ4LTXIDZ1rDZObdZGZLSnDCfM4ZTQqODzROdl2sUY+TDWICrIwU2Nqv+HRW22xtN5iZa3JasuiJ6zRLtSWUIkGqSRtCBs6Ton0kMQMyOwQzYkonFAt6C7tpaw8LWkOTPp1uLee8XAl57ilkxuSwW3gGSYrmFyZFFx5GrF5mGGbNv3bTfauWOzrIeF3TrG/N6G8P1PWE4MgYBAGChRXqgOGRrdZY6XXZLnXoLMsYL5Lvevjtj0FaMSlphQNRGmARIDky4PHktxJKCyRJT7XpL9YC5FM5sJQmc5FZhAmDlHsKHa3yDjPU4sgMZWHvDxJ1pQadknLEdsAkRYTiXCNplsQD+b098ec7k043Rtzsj9mPglp9qC7Dhs3bFa2DFrLJY4vcswGWm5SBC7pxCEaWsxHBqO5xrhImRUp0zImthLMusjUScJJidVIMdshVlP6Y1xM3MDH6Xu4Jw7+kUvtxMK6tPiTmSXTlsZE1VJdK0a1hEEtYFAvGfsGhWTdYynLi1ZsUkt1nDnk45RZmDIJhYEZEvZTkpOM+CgnHWUKRFYJLGIbULcxOi5W28NpOnRMj25qqIUoc+TROW1ixyZ5LWJ8/ZD5nT2sWohTlNRDE81c5kHq8uD+nPIR6ANJXihZWU1YbcLIa7BjeGiPHWpPIIsjAqbETMFOqUmSiqVxvelwfa3O9Y+vc+OXr9IVsP5S4lMltVpyPCk5GGUcjGYKsJfFr7yI8OwhLfsE2xCTggJL5C6F1WDYWOIb6PhYjodemhhhjj5L0cYh5WBOMRyQ9E/I+6cwHWFJ4o5lYDsmTt3F6bRUprIwYmQ+H6CxX5i8RZ2HuExTnVvjgq1JDW/aYLDnEB6klKMCKyoxCg3bKag9B8NfavLG9SUSy2SzZfCxDYvbywbH8ZwH45DH45BHk5B+VEmU27qurExutDxuNn2uNhw8u+QkCtk7HLF3NCQ+nVGbJ6xmJX6UcTqb8+5kws5kykh87IKYPAjxKPHLghuuwc2Wz821LlevXqPd2GL3sMZ7bwc8fDpjJ0k5MTPwSuXbeWOjwdatJfRGjVFfY2dbJBxhfcPmpVc8XvmYz/WbrgLv31/SIKX/aEDQD3BbLr1bXZzGjyZfF09z3v23Q558VRZwquuAXBNE7UwSjaJUfLcXMSmJz6zjJalI13AdkfAEz9XwbEnE0lRbZL7VesWCGeE2DTrXHDrXHTrXXLzOX/9iXhrklTXAArQfi13Ak+CCZd+uWPbNGx7ZlYx+Z8CseERwfF8B9o1ZnyVZFD97Pd0ktBxC2yexfVK3TuE2KLyW8mjX/Q6eW8e3XGpSbQ/flCjbnuqzfkT55gpMU4hdJaUvjP1nAHxhQCeLx9IPxjz+4D55TBiVHAxcDoY+B8Mah5MWB+O2uq5LEZbaanPCWnPMWmvMemvEemtCw85IjqbEj/aJtk9IRylp6FCKhKbpVow9Q1QdRHpXmGuLBavForb0qQU7icbicVUXfUqq9yzZozouiixjfjghGKVEiU2cWQSFy5Hf40hv0M8dRmLdExkYsY6vW9Qci5plUbNNXMvAb1l4bQutZhDZGlPz/8/enz3Lll3nvdhv9V32ufu9T191zqkGVehBgJekGoqUFFTjGw5Zrw6/2A9+8h/hcPjJYYcj7oNsKyjTceW4vpKla91LiaTEBhCAQleoqlPN6Zvd5c4+c/WNY8yVuc8+BYACSIAEyJoVs8ZcK/PsnTtz5Vxzjm9836cx0kDcGaOiREtKSEq0+MJ4dfzC+TUtdXU9ry5tdS/WXR1sDc2u0MSOxyxVhZXIYCvvaaPu4h0ux45pYFummv+k0EqO17OwAPpVGlFGM8pormK4DFkuU5aZRlTYhIVDXPlkmUWeCtgiakbK6+UCFX4daxDNEJUbTwo0DezAwJXeMPGaJn7TIGiZNFsmrY5Nu2PSbZtKXWb49JjBw8cc33vMyb1HJGGoPtata7scvHqNS69d49Ib12ksRiUmAAEAAElEQVRv/qBc7p+l1cUBFXlSkq+8pLNEvKYrday6PCZ+1Ofj58/Pk4IsigmncyLpsyXhPGQwKRgtYRobzAubtLLVRGdUBW4RElQxTSOhZSU0nZR+O6LdjGgHMS0/wnelYC2tL4PVcmmNdys751LWzOKVXKtbqJgL8F4f56vH1l09p9QpS4NSWTwJwC/SqbIGqjDNCnFJlJxf/TVZnbOlsFEek7G4xkisMKza5kKmFzmngE/VKyWFbkgBsCFrR6OWNrWku8/H8h3+U88JO9d9Ppbvu1nbsfw0m9o7huPn7PrxY4rRE8W8V/PeqondQg3Uyz1zE01iY+v8GPtPL1L7pP0gsD8XafGkUoD+RSBf1gHC4FdiY6LMVkkRbqX2iPnqfHExvnBO/m397+T8enzx+aqpqeq5Jc9FZbUfOF7Na8+Pnz+nfv7znyN/h7xWaWJPIED9Qd86j9J3OsKs/fNfK3lR8r2jBV99OOVPHk4ZRzlt11Qg/VeutPnMfgO9qDh7f3QO1g/eGZLHOYZjsPlan50Vs37jlZ6Sj1c/N8mJhjHhmYAJdYyG9Xh9XqKsAy820zXxN1y8vqdk9r2ujdfV8VoabqsgPDxk/METJveGTB4nLEby+wz1HW/uNum8tEnv9mW6L2/Svdaidamp5J0/3so0Z3L3mPe+cY87AtjfP+PZMCQtKzLpyj/6hQvuxR/wseoKVZysuraKNUvfkViAXWi4FfgVuFV9XuTkBewXnE8uKbmulDe1KpCrkDLNie0x9DyGjsvY95m4Pktb1iyiPAM9LWPHyth3Sz59YPLyyy2C6xukVy0eFmf8yfF9vnH8gIeTp+SMaTYWeN5SqcOZus5itkk0ucV8dJ0sadN0TV6/avGV2x1+9fYeB+0dYrFRiBaM47Du0ZJJEjE6HjD/j9+n/OqHFGHC6HqXwWf3WV7unF/owmzviG/8BcBeAPzeKspx03Z4OB1x55wVf6a8uxUrvr/Dqxs7vNLfYdOHw8U9vvPBH/ONt/9AMcilMGxze4/P3v6veGXrTW5vfIobnVs4v2BS2EqtKMx5Nkp4Nox5Nkx4OooZzjL1PZd1mKXWZbVdicwL6nhlXyJdFPaW+YRpcsIoOWaUHHEWP2UUH0oVCZpe0PPbHLT2udq5xJXuZT618yoHzcs/t/edWlJfrOCeA/bnwH0h+bk1KH4RSK/7Dx9/7DkrIP05aL56TH23V5KMa1CbNbgtcbX+V+B2vRYSpUXZd8p+M1rtQyUHLVOckGDCdKVOKeu+sqIpii+OVndbIxBSkCVqCBqeWeFYYBu1slSlWCh1LMuMNE9Ji0zZO9QKX/n5OLtQXCtNmPWSJxZ5fLHeslbRUXkQA10WXVwE7i8UOqi/8Qf/bk0KY3UpvLHQdPk3oh4p0XzxsfOxyOhLkYBEk2gcM7p7wuj+MaO7R4zuHRGO5vV9UdeVlYYdOKpb0n0b27ewAhs7sFShmO0bmL6B5ZtYnl53X9S0ytV7JnvLusu+tD7OVyqoq892peamTL0KSMNc7cHTRUYW5qSLnDTMyJYZ6VJiTrpMV4+nJItUnRf7T9XkvZG/V7dVFEsKAdoFYHfXQLsA763n4Ps5EK/O+4od/+N+H6UoIBrPVbFDOKwB+/PxaFofy3gilhMvyg/K63EvgPbyWsTyQDd0FZU6lKErwF/ZI8i51WP1+ZVtwg97zvpnXHiO221iBz/dAtW/cuD8DwPrv/nNb74A1i+XywsLRtmwrTNcn7Qf1T7xnP+k/VVqURHzHyffVkD9UXrGVXdX+dJ/pf0mjtxof47beDDlzjfv8v637vH+t+8zX2QktkW+u03SOUDf2VEbyYYzY7eT8JtfeInPX9nGUAuVuinPp9NJDdQ/rkH75GjKUdriWdXlmbPDo7TFvNJIKgEO3yKy/wDM9+kmc3Zm8KmJw7Wta/S/8jdp/NrfJtzt8N9Hv8c3sne4Yuzyv/D+LlfNffX78umCD//V1/mXb73F70cL5o/lXIJZaNw42OF//j/7CrdfucLbj3W+WhWczY44+t73MB6ZNKLLBK7Hp99s84//8VWu3bQ4vFvx8N2CqKwwu3PR56Y40zn2E+4Ky3fuECSyPKmUTHajV2E3LRYV3PNzzvYmzNIPOH7/jvIatIJbeN4BbafBbd3mdpZxvz/m21FEet9Fe6Rh3C/xhhl+HLHhTynbIwb9kGf9iiO7TZj7VKkn4s8KYBLP08C1aDo2DdNR4JkucvKxjl7VMlBuoOE2dHzpLR1b2PS6bC41JS2l4mpcR01J1340mnJ/PFcbPXn+jW5L+cHe2uhwe6PDlXYD4wLQJxvjWZEzznLGecZZFjHI55xmS0Z5zCjLCYtC3MuotJy+N2c3mLLbmNAyYqrTJl99/xrvj7sEacJnozOulTGl7zNvNHjX9Pj+Ek4icHWNA8ukVcD4LGTyLCN+ZuJqbfyWiyGkgzAlGkVkca481vv9Bpe2O7x8tcv+vsgbVVgbJXN/yVkxZ16FJGZIYoVUdg3ACxifGZFi1rm5TnOs033s0jhrUBQWp02NJz0YNaG0NBzTZNdxuOK7bKYl1tmIdDxkokWMmiUnZsZAXtOjGPOdjPKjhPlxVFsTWOK/bdPe9gi2bbwdC3/Dp9lp0fFa2KmPETuYiYMZexiJrT5jTT5nWS6Ld7pdKRBX8qiOq+PJxlOvWIQTRpMBTx4/Ugnbja1NxcAUWfY4EaawQRKbpLFJkZvoQknQdKVyYXsZtp9h+SmO6hmWm9UL9LXIQilgqTAJLYrKpCgtxSrMM0vZH4SziulxxvA44ux0yeg0ZD6J8IKS3qbG1r7Bzp7B1q5Ot1uzPGWPN5lqjEcai4XJdKrx9EnGdJKqpJhcb0qeX7HgVyL9ei4fFDgJhS2fX4JmFlSmbLhkg7Gu3M5BTymNBE3P6+cUBkVkkWa26nliU8YOVeggtHtZx6n/ZF/SzDDaOUa7wOqA2RF5bQ2vbeA064S7eBCLDD6hS5k0CRq3ODBvcWPYwHUr3pNq9w9h50EDpzLIry6Zf25A4/aIPTuhmVWYy4Bh2uY7E5OP3s6x3rUwFxruVs7NlxN2t0I+NHyOn3QxHzewH9tU05xlsmBpLUiNOWUywsiXmFqFH9jsv7TBjc/tcuvTW1x7qU93w39hMyPL6klYcTIVUC/m6HRMHIWkUUyepUpBIRdARarPNZ1yxfI8b+oNqjdsmtqY1pvR54CczJgyN9UgQtPWeXO74FOdDCecko/PiGYzFknGo8Liw8LhRIolKLil+WyHXZbDJodfj5ndSWCBYubbTop/uST+pQZ3bm0xD1w2A51Xti1ubVnc2DCV7PaDmQD14Tlg/3Qe1yobwH7DVaC9AtkVcO/Rsk2GZ1PO3j8mPRxjLWKyvGBQ5Hw7W/K7swHzxQJmS5pnC/RpqKT1JZF4RX7WwQYv37rGwf51HG2Xj96dcP9syONFzKPjivlYEoUyP7l0tgL0wGcWmRSZTpou2d2r+NJXDrh1u8G1644C9tctHEUM7w1Vkra506R3rasY9T+sLU4z3v3/jvjoP0xU7uTqf9VSALrKpaxBwhUQVQPF9X5UEvJhDPNQ2HcVi6hiGcm5uq9zrPJ5BgLWOyKrq2EKcHaaook3pwF+26SngPrnvXPZwfyYpP/PhGV/lDD9GMs+OnmRZd++7uNes1j0h6TGU8gmVMkELZthxHPMZI6dLDGzWN0Ty7JUcalpjDWdqW4yNUwVZ6sox0vTwXf8cwBf4pX2Djd7l7ndv8y+AE1/Qck99bmuwP7pNOXwOOXwJOfopORwUHF4Cplk1qnw7ILdXsxuL2KnvWCbj9hcvoUbP1UKAKqSRDHypbhGEkcWmigvqaTNj9ck0YQhXu8iry5RElGiXlGSzVIySeLMRNI1rY9nKeks5Uh3uOu3ued0eOT0GektzNyknensZ7BdQr8yCcRBNrYIl3JvM6gkYSZAecPElGRVQ6xSXMymi9Gou+4ZaGLN4ulojiGLDdUruU4dHVleyVskAJCATQqMKATsynl6fEpcaHjNLmJbLHY354xP+Z8UTORiDZKg5zFuucTNZ/iVFPmk+EaJ77kE4qvbaBK0uzTafYJWD08VH2iK1eqKH7YuNkYl4TxnMq77fJIxlyIyuQfMc/VYNC9IlrmySkrF2zcuKKISTZQFsucqSYqlrxLZF323NSX3X8YxaRiRhDFZUgOmpm3hNV28tk/QDnDlPbQkqaQptqLcAwVAlmO5vgVYV6C7qPKsQHYFyq8UDn5UU9+zNCNPY4okocgSyiKhzBOKPCHPU6UokxouieoemVkDMIZe4ZspLTul42VsNjP2+iGNRoptidrAEs+a4+qhmJKo5cwkbzJIugyyHsOix7Ror25bBaYhc1mhFJRMXdaVoqZSYptFLcMsUY6NvJZnJsOQXqbnUS9WcTWWwuhUJZxr8L4o5Do1RTOn7jIuDarKpBRwP9fJMrk/aORSoJpKUYChWGBijyHPkVhUUk6n4bVy2hsR/V7EZm/JVmdBx4nQy5XkkXyP11HOXQTOflgT5rMqvhF6tCnSPWheA7wA/Ba4DQX2K+ltSbLKnCDfb5kjJMp5dSxx/bzV3CHf/9W/U8oO8ZRyPqBanKpYLs4oF3J8Vp+/CN5bngLpFcteAfcXgfxNNLd1Ps+macr3vvc9NX7zzTex7R9uafJJ+8VrSsZ7KkCd9Iynw1UfZQq4X1/C2x2TgwvA/f4qCvP+z/p775yGCqj/4wcTjuYpvqXzpcstBdZ/4VILzxK7t5LR3YkC6gWwP317oMAKYdE3dnyicaLAjItNgHwFtvdd/DXwrsbPgXgZC+jyY7/eLCI9ucvo3Q8Yv/+Y8d0B08OK6YlNtAjq75Pj0brSp/vyDt3rHTrXWnSviaVS4wck+j/eBCBPRSkrK0jSnDStx3IuzXKS9XH6/Fya1OeTJCfLcjIZiwJVmHD/0SGTeYoSx78wPfm2yU7bZ7PhsRE49D2btuuodbsT51TTmPB0QXS2IB6GzMcxRws4TXRGms3Y9BjaPolm0CwyXo7n3EwX7FeJKkxQ/tKBxcLUGGgVh1XOrBlh7aS0DnIauymxN+dRkvDR0OfpsEcYdtU9ot074tLulJcv52w2fVpOR0mmS2zZbRUDzWfyjYc8+bffZvZggHdpi/5vfA7js9eZlyljAfKjpQL2JwrgjxjFS6Vqd7HtNzsKiH+1v8tLXSmcG/Ph+F0+HL7L+8N3OBsdsTgZ4Z8aXNYu8eUv/iZ/42//1xx0rv6gl3VZ8XAQ8d6TJSeThG7DUr0XWPSaMjYJnL945nyUFgp4fzaqAXgB458OYw5HCQuR8lu1zZbNQd9VUYo2lHWd2D5KVH09rkikGFBsmPL6eefFQxeloItESeHHRXQeRTJfVPBajYIr/Tav7O7x5v41LvUb7HQctqXo0a/zBn/dWhzHfPPb32OWFOxfe5lFWjIJU8ZhWsdlHSdhouI0FBn8F5usRbu+Qyew6fg2XX8VBWw2NEbLlKGota66KN19/OfIO99rOHQDm77MDY0LXc41TLqeTtcXmwRZ/+Tqcz0LZ6oPwxmjaK76OFowjRfME6ERiE1ihZQVtB2HnuvSdaTbdByXtmPTsqWLBYO2yjvldWFDWRcJCNit9mIyFtD7AgC+fuxPXYd9/D2fZIwfJ8TjlCyqQXLVo1VUvTw/lpzjxXdqXSQtoLC1BvJ9ewXo10C/6dpkUUa6SBW4ns5TkmVKtkxVwVndXqjKUvlGKQiwRbUsMFbFARJNFa1Ax5YCASkWcCXXWKliYikwsLxNDGcTw95S0XS2MOx+vZb8C2yi+BZPFoSjFet+NKvHK0BfxsLCFyZ/JblJwT4KUdkqn5+T+LE5+ydtUqwQbPVobPfOY2O7T2OnjvL4TzLf/JUH59dN2PN/9Ed/xL//9/+ef/bP/hmz2UxN7GpjKpufT9qPfaH89m//9vmF8gk4/0n7RW4yB3x38aEC6UX6vmH4/Hr3C/xG75fYEGTn57xlac69dx4psP69b37E8HjMPMvJt1uMGw20zks4G7sYdkZnY8G1PZ03rzT41NYe227vReAnzameDWt2/ZMBxaMBpwN4lrU51DZ4Zm4yrDxOW/d5uv01BuZ/4vOHZ/yDk4ArtOjf/izNv/l3ePZKj3+Z/geeFid82X5TMembenD+fj+6e4f/6+N/x7eeHTP79ozoToV93GfT3eTGjV0Obu7xwGmS9QJow+npR4zfO8R52iZI9mm7DT7zWo9f/ls9el2XZx/Wnu7b/QpjnBHOYtIbIx5cv0v2H2L6b3fINY/pRkB6rYnWtJmLj3GZMdieMeudMLz/fQ6fPKby9vEar+I5XXZcn5erio4/5a29Q4aFh/GwjfmRjvVuSfEoxS1L2n7GVX9KkDxW8rx3/CYDWwobPNLcpco9tNLGMoURYOI5Ot2GS8txsKW6sdDU65cieQXgNivFQjaDCsOvqPQVs0GYDisw/qWegPE1EH+921LycWvgfZxljPN8FeU4Z5rXns3r5lQaQW7gJxpupmEnmmK8asOQYLJEE7noyZSTRcJ7lc8Ds6mSiW09x7FVTS+FsNejnHEkG32pJM9pmCm2XH9LjUJY4rkFpS8Co8ogXaTyzEqj7blc2mlz5YbP5isQ7i0YboyI7aUC4TMrUgCuYigJ00iXn2CwE3lsTB2CqUk61YhjjUjTmdsao0CpqJPaJaVdYHopTa+g5eQ4eoJWxaTiuZWkTE4jZs8SFs9ywsOM+H6GdlLhhDpeZim/q/52g9ZeC3ejTcvv4JQBVWxRCes9X0mnrgqRJZlqlqVK2YrEtmwQpFdFTpUV5FHGYrEgVKzeWBUliAxgLUtfMxlqSdYL/QKpYV3vvJaQXD+m6qFVrBk09bE8LpuOlelBpdUkPmGYnRMinl8Lghc6hvg919E2hflV2wTosikyCgWsl3qG7hY0NnXamybtLYt236bVcdAsjVwvGeQhT6MFRwvxUY+YzcRnvE2j7OCVTezCR8stsrgkjnOWYUwUxySpMMIlyS9ArIa59j9T1GEDSkMpp0kXBV9hUge2KAKXFN2CaLtguVuy7IlFgXxPCkypGLdSdS0JyC829mZlqu+bVlSqWMYsNZbRnOF8qAo62o2b7Lmv8enpG7wSbnPYy/lgsSS4q9Oa2JSdkvntOeWnTnmpPeFAZItV4t7nKOrwnacmz75jYLxnK4lI/6VMSabvkmK1Ch42Gjw7NKnuujhPPOxQkvsFhT1DL0aU8ZBxvGCcl+TCZG867G25XOrrXGvGXLEmNMIx+WhMNpm9cC8QSWur38Xud7B6XaxmA8Oy0ByT0igojZw8D0lJSM2C1CpJXIPM0ZTtQKzrpJV4ajtkuUmWGSziJqPZPhou1/oWn7na5KVOBbMR5WRIeHbKcjZnnuY8Km2ellIAAjtGzs1GC3uxycOvuhx9NSYeyPdBvEcynK2c8pbDYMtn0nbJtn32XvK5vWdza9PiUtdQn7/4Yj+exzyYhdwXlr2A99OIeLVm7zqWAuqvtWrA/mrgKEnI4nRG9nhIOksYxPDu0ZKHccgzK+KRsWAaSiJsgjaYkY9DrErURgx2tjvs3djjxs2rXO12MBKNh3cr7n635OGjjOO0UD7cOAa5Um8x0MRT1DBxHJO9XYcbLwW88maD195osr3lqMTj+KGA7hWdK13a+63z5Onwfsy7/2rEwz+ZqU3v7b/f5fbf6+C2//yybMKIG84qzmYlp5OSs6kkxiWWjBeVSgBoi1zdM81Jir/IsKYZxjxXBU+WAOPblgLqt15y2bvpsHXDpbH1p8t5/jSaVPHPHkYvSuM/DCmFNf3xJniUrSvw0XBEISbCcUIcd4llS5+jmVMMY4ahz9G1WMmwrnusW8wNm4VuMTFMHlkZ94yUM9OmdBvc7F/hVv8St/pXuNm7RM9r8ZfRZD4fjksOT4oX+vGglvNe+9lf3Ycr/RGX20/Zcz5CWz6kFMC+qtDdPkbjAM3fwfB3RK6gTjSJD6WAacWK3S9yr4rdLzE5Pz6vCpE7yHm1iHp1Kxn2kjJKyCYh2TgkHYeMJzHvL+G9zOCjyuG+2yDTdYyq4mq65BYJ142MbfG0Vffp2koAde+RAgNhL0ihhoDxAbrnK8BR9xpofhPNa6L5LYygjbbuwtQ1BDSt35ckSXj3m1+na8JvfuWz2PGZkvAOR0fMR6csp0PCrCLCJtYDYn+P2NskdjeI7S6R2SbSPPWcUDGGpNfJ4z+1aaIEUoP2cm8VRSO5z54fy33XlOfw/P4rqqMqiVSRLUvSpdjWWCxCsbnIGYxzBtNcAUmaTKcVdH2dfmDQ0HKMxZRyOCA9PiY+OVbqo6bp0NndpL21RVsSRj1Z+0vBXr12liIcw9YxbR1LjeukZRotVU/mI6LpYNXHLCYTRvOEuSh4mBaJ6RJbLoXXogw6ZF6H1G6Smg1VKGDaJlc2TK7te+xuGGxbcxr5hHJ2gj4/wVqeYidjNWfJRzbTWwzNDYbWJlmwRdXaxmxu0bR0OqS0y4RWGtIQKXbLJjdtMsNU1gOZeC4bCm5XqkVynFY6UrKYCgsMXflSq+S/vMeFMMIqBRCILHYd68ekCYlXKwqqNKVME4o4oRT51TCiCEPyKEarxB6m7q5n4/tSxGETBA6BZ+JZFr5piqCDVIUo36FsnnH6BEaPITySQojVNdPR8fYMepc19q7B9Zcrrm5V7Hq58oOmEAWPAk2+j3lOKQURiyXFMqIKQ4oopopjoUqh5Qv0IlwV6wiDTiRjLYp1oYAoBuQahai0yN8o61VJXq71yVVRmFherBaaF4rDDN9RhTNmx8cUVlS7gdlpYnWaaIGvivLkdVRJRJWEVPGSKl4oBS3pMufUxYJSSODUgH1rm8Lp8v0HxyR2ly/9+j/C37ys7q+ftL+6rVaJKs8B+4vA/XD+PD/baxjnYP05cN8z6QY/Phgpv+vhOD4H6u+PYmWh8rmDpgLqf+lKWzHs1XPLivGDqfKrXxyHeD0B3N0agO/VUdiNP+v1kPoOLk8oxveInn7E+M5DxvdGzE4tpgOf6bBDlopqjofhB3SudelcayuwXkD7ztUWwab/XwTt/ywtiiJ+93d/V43/zt/5O4gA1unZgrPhkrPRktOzJYPhgsFQ4pJIaLerJuqOm/2AjV7A5kZDjde97VrYac58MOOdDxe89V7I95+WzKMSP0+5nIw5mJ2xFc3VFlWmRqnrlq2BMH2zvMKodFzDxPdsmgJkeQbPminfa2i85zg8Mz0Kq8RvJ3R2ZvidAYb3FMN9ii4/dP3+S19mlCcR1UlCQ7zgX7rJ9TfeZKO7UwP6K3C/YbewdJ8k15ilCYFVcLJ8oED4D0bvcm/8AUWZYxsOu+k2zjsJ3gcFN/uv8cV/8g+48iufVozMdYvTgg+ehbz7ZKH6+0+XhGlt47XRtBUrPRb/ugtN2ObdC2D9OXB/fs6i17DoBAJ8/vjXhBTeH41TBcA/HSYcChN+BcKPFs8/17Yv30uH/b7Dfs9lr2fTckVXU2cyKxiMM+bLgk7ToNey6HVM+lIg3Lb+VNUMyYOdA/d5eT6+COrLmmwahbx3co/vHT7io5MThrOSNG7iaF31+UjveD7bHYedjq2iAPbS1+B9YzUH/Dw1KcwI01x1KXiQuExW/eL4vGfqWpFi+igpWIqUfJgyOBuqn9frSqGKoYBy+cw6ArgrkP0HQfeObylAXgpukqxisswZLzPGi5zxIjsfS5HGD1NCkDyeKF7KtZrkOVFWqKJZeU1hmjGPM+ZJxiKuFSTlslwvDzq+qYD8zaajFK6E9KIUs5S8/3Oirew/5OctMrHOSlhIV2NRukrUY8+tvmQdbtOwHHzLIbCkKMDlb7ze40s3emz6TaV+cZHkdLHJ+vg5c30N4r8I4CtA/8JjNdAuTHxhoK/Y9yvmfc3Ut4ROplTzFJNdMdsj0kWkZN9VlBziOl54LAtjxUx3Gn7NYl/Hpl+z3BsrCfkLjHfDfnEvH+cZg3Ch+mk450zicq7URUTNoGfmbFoJPSOmrS9oaksC5lgk6n2Sz0M3Owqst91tXG8Hz9/BcnbQlX/rz2+rVtZuPwDir8F7FUXd4eJzRP2iUAUBUlwlfXlax8XJkEIkD1fN9JwXgXuJK+BejkWp8uJn8VcWnBcw/o//+I/PGfPf+ta3zhnyF19aEATM5/O/xFf6i9EuXii/8zu/w+7urhp/As5/0v6qtKPkjP9p9DX+YPIt4jLlC81X+bv9L/Oqf03ddH4h/Jqejbjz1l3e/foHvPPNDxSLUPM9qn6XtL1F2tiVDC5lc4HVOeXSTsUrBz63uwfcbF6m8zHfpkq86RVYf0b1ZMDswZQnU4+nWYfvGxt8s/Ndnmz9Aa9VT/l7xxq3hgb9rat0fu03+N7nW/xr4+sKCPwt99f4VfvzigEuTUDmfzt6i395+IdEx8ccfucdpg80Oveuct16DctsESYaM6mmbzhYmz5lC+bZiHQQ4c02aRaXaRlNXr4WcPOVBu2Gj2XpbLcrjGGm8rvdVw20z42Yf/tDmv/3E8wnBaPNgLtvHnB2qU9i20yLirE9Y7R1Sjh/nycffcBJbuC2X8UNrhM4TfYdi0tmzOjSXe56Swi3aMz6WHd07A8KrNOKKBTPNmFlxjSrJXoofupTQjNhYRbMXIe5ZRNTA9Z64eOULazCpynJU9NnI/AVcC/JPFvk2Xwdbwv8A41gD8x+RSVy34oFnzGMMwazmMUiV4yrPCpVdBIB3MFMNDRhUMYVpTweliRhQRIXK3C5pExTqiSlzHJ0raR0NGLbZG5ZLIXhI8C4JJAlkRlpCkCNKEnEe9yBwNTZMAra5hLHSrA9QXYa5FqTQvMxzByvPcTrHmN3x3RuL7APQnKzVB5USj4LAwsbS7MJUof2zKMxcwkmDvnSJsxsFqXJ2NUZ+hpjH1JJkA8zquMU7aRAH1Uqny85/DTPCbOMRRizHMeK1ZfPcyqpSk0UN1gx0B3NxC4NxY5W0liOrQDNXOS81mi4LJfzDD3PVRJWk6K+tZ7qOom5Qr0VW3wNo4t/uuo5uZ5T6AKQik+7rNRMlZBED9ANH9P2sbwcy01wGjmGH2J4kSqqUdl3o8aopSk/OZHlF7liTTbXInkrGyxtFWs/snrOEia0gPUivyoerAa+ZeBZ4uNuYIvkr1pg5rLzplJ0QzGrL9HUuMLOdMx1n+sYU6OOSx09AiMHo6Nhb2qY26BvgybXqSH8dJ1sKWCvT240IehiyQZBwEerIosL9VnlotqgZMtykjghyhbEYiVhjkmzEDco6W5VdDqy6asT7mFpUi199ImHObRw5hrORNilOmdNjZOuxklHY9Ss5xyzgoCCohmS9BOsQCPQGljiCT0LSY9O+ODRO3xwdI8002g6u9zMX+cLp59m13+Je0GmGK2dh4ZSRRjfiBm/MmPv6hM+YxzRFYUR3SOzWxwXkmB2OP6aS/6+g67UC8RaQGPPr9jrm0TbFcd5wXBZkU5t3CMHK9QVK79tLjD0CfNyzsM05tFcNpeF2pD6nsH2VsDlyy2uv9RRHlt4PjlmLW1af5QrqVP5OOuoZFBl05cWFEmh5DnPmZIKZFoBbAIOSRdgzIH29oLWfgJek6TYoGFbvLbf4LPX2ypZWkUh1WRIPBowPTkhWixY5gUnpcWo1GlUGZccjX1rg/tf2+DJH2uEp8LEqZU6CnV1FmQy94i6sa+jibTzpk3/ksv+yz47LzdoXWsq1QrL1ziOMh5MQ8Wur1n2IaNV0s8xaln86w2X22nOrcGMhswwG23K0Cb5YEH07pjjOOKkkfN0r+SYM+ZnRywPByxOpiqBUWkaumdzaafLpcsb9F86oNe9jPk4YPD9Jc+eTFnIfJrrjNKKUV4heWTBjyVVJt9HUR0ViT95n7Y2Ddpdg6Zv4hY2y0NIzir6Ww6f/q0+b/7WBg2R/P4LYHPIWmEeSYKlYrpYxWWp/O7Hk0LJqi6fpeSDVIH3xjhVcuKSMDFdHWfHJtiz6Vxx2Ljmsn3DYWPLpNPQaLjrSv+f8msuK5ZHMdFpqpi+wuCuo/jilco7tkguHK8e//hzyiTGKObo1RyjnGEyV6C9pS+wrQW2PVeTWu4WRG7FqSOAfcEzU2NoWpTNDba2XualTQHtr/By9wBP5Kb/kpoAmqdnBc+OCx49K3j4JFfWPzIPyG3m0p7B1Z2YK51TLjcf0CzuUoWHqrJMGLF68xJG6wp6+ypG8wqa3fjzv6ayYJoIm2Wp4kSNRT52ztnojPsnQx6MQw6XJYPEJCrWc7SGJffwSkNuTWZZYQm4XFXqWOZRbT1PXSgU+AESi0rs1SziWrZSoyzr+3c/S9jMIraymM2yZKuq2Ko0ttAJRCJcWMJKGnT1s1ZJm9XBuaS+knwXiV7dJNEsEikmEg62ZpCIP71E3STVa9BYooDFdZTH1+cuHteP11ohLzZh42/oOVt2wZan0/BsDDcAyyPUPAaiYhKZnC6eF2sYWkVTi3GjCcb4mPzZQ5xwTJOQq9c2ufTqdXoH2yyGE+bHh4xPTjk5nXM6SVmkOrFmE+kOsRGQu00KNyB1WmRWoPxvTdvGsB0c16HbcQlaHrYj7HxwiPDKCe1iSCs7xYsG9LIBrWKq1lDyXsZGk9DskhgtSq2BVrlYuUEQRbRnQxqLGdpiiRaLmkGhmE7iJCIKUjJeN8HRpfhUdHdUrKpaQWZ9ftXXn6IUeuhSuGaaaMK+tEzlU6nZ1gvndcdGd5xVtNFdGTurWB/LlywMYxbzkMVkwWwyZzKaMjubEA1GCjQXUN4RpSzToNNp0Gk3aASuAqfWrKiTmcPDoadsLoYTm8XYVPcW8WAtA42iK+o/Of3Gkj1/ykE1YSeespPMaEiSWBUzrq0epCBTIxNmYVVSGBmVVXfdTrHsHNvJVPHr2hc8TS3SxCJJTeLYYJE5TDP5FC0SsWbSDGLNrK9pzcAvEtrpglY0o50saFRJLeW/Uo41GxaGqGBIDzQMX8do6PX5wMRUtroZWpZSpTEkMVWaqJ6HoSoksBxfWXTorV2M3lX0/nWMzj56Zx+js6fk9D9pf7VblAogmJ+D9QLcPxtmyuppzaT1bV0B9rf3Hd684vLKgYA4P17O5miW8NVHU/7kwZT3TkRVFT6106jl76+22Wr8fCo3VHlMOXlAMbqr+vLJA6ZPUsWun437zMY9pgOPoqgtL0R+N9h0CbY9GlsSbRqbNo0tiZaS2Ndk5SrsUQGTFPAkx/nz4/LicX1OFLtOj4/UfL61tbUCey/em59XsQuwESZ1gejZtFD2JoNZqcDTgZyb1WvQ1V+o5jNZU24K43l3g829fTJri8OhwUdPxO6hou0L4cTkte2KHTsiGi9ZDhdMT2c8eDjkyZMRs6MpRlwSGAZty6ZtmQS2TeH7DO0Wg8rluOFx2g+UF5zdsdnfNLm0VbKzkdLrLvG8KbN0wunpU+6/8zZHj+8T6hHajoe+KUzSF9eAsi/3TJ9FWhdR9/0t5RN/s/sKzYcmo3/1HtO7R2zcvsIb//Q3Ofil19W8fTZLee/pkncfL3jv6YL7ot5XVQosfuUg4LVLDV69FHBzLzi/xsOkqAHSRcZomTOar8brc6rnzEJhCD9fLMkdo+Wb9BVwb74A4AtwL9Yaa/a7xONxev7vxaaoBt/rLuCtK0BvobMMSwajjNOxqBGmCowX8HzdAteg4esMpzWYq+wO1NKqUjZcgeS9/Nqey3bBltus2MXYtUVRXpVEWV2UoHpanIO9crwm2Dcck6YUebhTEv1DxtldBuEheepilbt09Fs0tKuY5QaLSNaItT2Y+reueQ7Yb7cddrrPgfutto1r/fie5rJWlNe1Bs0vgurr8RpEDz8Gtq+Pa1D+RxNJ5ZUEjqnA88BdRedCXx1LAehseEzLMXnz1ZfZagd4psE0qq8hAd0nCmgXwP1F4F3OL5MXX8P6GuoJ071h4dmGKuKQ/MPHlRA+fvxxhYnV114RkUQxQfr6Z62P65TbSkluDapeILKsj9fbgo8/V60DL/Ra13F9XP870yrw2zHdjZDrV0r2uh59v0HfDdjwA3pewIbXoC/Rb9BxfjJW9F9GWwPvArpLvAi8y3gQCsmiVqxbN/m7Nv0Gm0ET17AI85QwTYlyyUelhNJzUZpK6JsxfTNSccOM6ZkxHVG/VIUWsjeymVcNQlrEeovM6FAYPTSzQ8NxudTqcqu3zaVW5xcCb/kvNaXqMV2wOB0roH5xfAG4Px2xPBmpgop1MxxLAfbBCrhPLfhf/m//1zwop7/Y4PxPAsZ/+ctfVl7zv/Zrv8YXv/hFLDET+6T9qe0Tz/lP2l8nyfs/nH5XsemfJac0jYDPNm/x+eYrvBG8jCfJu1+AliYZTz485OGdp9x/7wmP7jxlOY+VP1DZbpO1tyg7W+SbbfLNCXnzCa3+nJd3mtxqXebl5iXVxad13dTCZ7ygEp/Tb3zEB28n/OFykz9x5pzc+C5b2+/w5UdDvvC4pO/06HzpV/mTL3v8/sZj9owt/on3m7xsXjn/eU+yEf/N6Pe5N39K4/1jvvv2V1mIl/H9S3zafJ1Wd4dl1WMYucyjmNl0oaosxZcoy2K0UsfJO/hs0rC67O+2uXVzm+0di0sbOn5UKUBh402LjU/blB8MWf7z71G9MyTWSh5cb3P39cvEGy1Sw2BSZQxbQ5LqXbK73+LOaEDYuond/ZyS8el4Ljt2hbdxzJODOyzCJu50l+a4hzc38U81WiKzja4qVaMoJ5pFRPOYZJGQRBlxXCDr27QUtrGmfLDL2hC49gmS5e5KEl39Jx5swgoU32C7ZhRXsbBSSmWDK7jw+l+vq0gVC8rVMTy9TorJ2NfQXA3Lq3CdAt8p8cQz04PCN0kDk9A2a0m5iciqa1hnBa2nMQ0xm3Jyxi2dM0/DLm1uTbu8MmrRFsa3U7LYrog2dWLXoJCMentItvOU/OARrlnS1g1aK4a2qxU0Qw1fmNVTA3dqwMIhTj2mpslQNm6+xsCtmE8TorOU7CyhGkTkg5h0mFHMhdkt6dgKo1GiN/Ma5FuUJLOCdFoogEbeG9M0aLVF4qrJZtVgJw3Y0mRza5O1LOKmSdaUF5aiaxFetMSfxwSjAm8mdgIVVROKbk4ZZBTNnMRJmRshU5acVQsG5YyTbMqYkNTMMDWdTaNLq9zDy69iZi+jF7dwyxZBmbGXj9jNh6r3ygm6bDyyQhVKCEhemBW5V5D5peq5W8fMK8nX0avPFQ6UeoVeGBiRrooyjFhX3r9maGAvTazMxChMrMLCLCys0sLMLazKxizs2p+rNkStNxrKKBUyuyJ1ChZOzsyOmbkRU4nSzYRJFhFPC/TUwoxtnNCmFTpsVw59x6QVGHgd8djV0OSaDyE60ZgPdCYnGsMzjbnI7O57OJc8ApGD7Ihsl1QkyIa5pChKDPF2DUpVsFA5CVJ9Il5zslnXFLtfo9A1MklKl/Id0TAXJvpUV0nnRWUwsXVOW5DIRVFBcyEM+4RwP6HatAm0gIbYBwwGfPfwXd57eockjgkKn1fnr/P64k1a3dcYYaEPC+yxRtgsOH5tSfXKKV9u3eVmckaRmmR+QNxoMSxcPjg1eXpsszi0sE9s9CcO9tDCXRYEcUrbKqiaFknfIuzoJMK0O/EIFgbtAjY7BeZmyrhb8oyCJ89mHD8ZES2eL+4vqNY/rzr/WP9h52uFghr00soSXVh5ZaGKMwTMDwuDUGR7hd3ZBLcrCfYAJwjY3vJ5/aVN3rzVZWPTp9PzcPWMYjxicHLMcnBKFi4VA35U1SoBnSKhP2oxfbLL+JnP/NRALPbEn1jYfbn4zqWZks9MRG65eK7UK1KWUvzjtw38nkmwZRPsOjT2PPR9h3Fb48jMeaInfDQLOQoTtWu/jMarccZrpsGnXtqifXOHcpgTvzchkX5nShkWaI5OecvntD/l6eQxh4+fcPpkwNNpyDgpKE2D3LdZ7nexr2yxf7DFtSs73NjZYlfz6EQWzlnFyYOUOx+GPHiS8HQgUoHyXuaYWYEuyiKSCDDEe7JSoJv67HRNFZcJeN8OTLa7DvubDge7PgcHPp0NFyMwFLAhoIeMzcBE938C1lgYwWAkFSwgwJInMhSuGisv8o81xZAQ8H5RMDjKGdxPGD1MmD1JCA8T0kGm5K+llYFB2bGp+hYbVx2u3nK49YbHzasWrqKM/nw3pUiSlswfLpjdeUZ47ynp8RHV/BTXGWP6IwhCMicnMTOOjYpTy1IMe2F8tjevsbd7m5d2bnGl/aKN0E+jCeA9iRcr0HvBOJk/B79X56Xo0dJNjMoknjeJhk0Wwyazs4B4UXtS+0HJxlbMVm/MdvuIbf8hTnaMkUdYmhRwdbGbB7itA+zWFdzGHpZIYWso2cg10K5ismQSy+uoxwK+z5IlizT8gddvmyIrGSjrIFE/kth1G7ScgKp0mCYZo1hkKmeM4ikjka2MZxRKzrvOmkkxXc9u0LMDeqZP1/DoGR4dTLp5RSfN0aIlVThXTN0iXEAckscxI6fFqdvh1GoyMH2OK4OToiSsHQBUa+gaO5bBtqho2CbblqGOdyyTvoC1KzPl8+/K2iakNpS8MF6dP7cVUSUFxFXOokpZlCnzImFZyjhhUdRdzi2KlJmM80IpHi3zEqts4RRtjLxJmQZkuUdSuBh5hVVWOGVBL53TT+b0iZTEvuQ1SssmNHzONJ9B4TPMHZXslL2BMMCtxRAtWlA4UlQWkFsuhqFjWqZi1Ti2MOwM+i2bpshoCngtQjZS2JGHmNkEO5+hpzOcYk67nNKu5nSqmbICEPUas5SiO5sktcgjnWpe4EYVfiw1h8YKcNfU77QF8DcNBb4LgK482YVFaFsQ+NAUNbAWWreN3u+ht5tUy5BqvoDFkmoRqojMc9Jlnluxv2tlh4pK3hfTpDJ1CkOKT3UKtQbXhHjJoKx4XFQ8KkpVZCbztZsmmFmOk2VYEvMcW953uSbl2qZCILx6XHeRVV37cdfzS50sFu/nWIo6VpL1WlGiFbla/+mlqCEUdRFKLh6uLidxh6f5Fidpj2nUJKksMikICUyyDuQdDaOV0fQWdLUZnXRBJ53TLFJ1DZimhW7aqugjXvUJJjPNINcKXC2hoQsTaknfWLJhzvF1UQOQSV1jmgQMlx1GixbjeYvxrM140iBJpZLuuTWENFGNMqRTYVGqz9+iVjEyyxyrlBLCUj0u0rNK9cQyzrumrBcMLLek053Ra53SDQ7pNo9puBO0MlHqBJpVF1HoQRtj4zLm9ksY/SsKuJeupPJ/BOPtr2NTn5FUaIrEmfTsY3HdJWcq0mjyXROJKl+iJzI6P3fggxSlnSiJ/Bq0f3KW8c7jWK21BCB+Zd/hjSsun7ricmNb9jf/5dc/CjP+swD1D6d893ChQKKbGx5fudpRzPqeLz7jooD383dtqbktHFCOa7C+HN8jnz4mHOvMTh2WE4Pl2GI5MQklSvHP8vkaRW5fficn6GT43ToGErsZQSdXFhxSwCT+y+uurG/WHtXq/scFr+PVBuPcA3n1S9bnP/bYuoguzWE4g7O59Fot5uR0wmCccjo3mURSAeRSGS6p3qOwtwnLjsw2tBsmb77s8pU323zp0122+oG6btO84BsfnPCH33rEt999Rjxe0ilKboiv+yKkfDImWBr0rDYzzWWw2WJ0o89hz+dUlOcU8GkoQPzmns/tg4DrHYOzP36LO//6PzE7HtB4bZf9v/cmjU/tsshlPTRhmc7Za17iVu81unaX+7//Ft//b/89s6en7Hz6Jq//098g2b2kwPj3nixqqfppDZAJELwG4l+73ODyhnv+HZyNI/7jv/uIux8MVBGAsM2V0YpWqlzF2nhFxjoFlpL5LlWBa5hXLPKKWQYLYffndVwUMFdRY16oMo2ane/pbMsaoGHTFFUYz8EWtRospqnOeAlnkx8E3/sdE19qB+WmaObkWk5UpcyzmGEUK7nzdd2G2L+IFUyRasoyLF/FMhVVSV2SG2rtpVxbNA1bfMwDjUZg0Ax02k2jZuEL+75lstG1VIHgIslVofVMWNmxsMYzxao/jj7gLH2XpfYBmXasrkOrvIyTvYad38arDjDFskbsaHKNLNOI16p+kquQHJxSfqj3pXUd6NoiSWz9ynN1SSkkEPKBXN7yHLWXveA+I923DZqeAOoG/hpgV9ak1gpwN9Q52zSUwpv4rFuGrnzVZS4S0pO8L2tAXIHZFwDx7BwYl2JyKcSuQfg1GD+/YDvwHHA3VKFGJ6jVF9ZRFBfU+dU5sQf4SdQXPj5nfRy0fw7qX3zdz/+O+j0T+8/6s1B9NVbWn7KPNutzxoXzP+y59WuoFRkEtD+dRvy3X3/Mf/j+Ge8/jViGoq4NzWbF1mbG1m6M1ZoxTcMXilzk/e95vgLr+yvQXkDtGsSXczWYL9aa6/VSXRjw/H2Q4/r6uTiu19rr1/lDn7P6t/L6z6Ka9T4Q0F3ijwm8b3oNtoKmKjQQ1VA5L69Xrq8fd28aZZkC6gW0l7EoFYRpSJ6eUSZnkJ1hFGPMfIxbzZSSgFLCqFD7kpNE5h2bBJemt8FGc5f97iWu9a5yqbv7U99P/7SasohZFZEodVv5zhdrtdvnY1UwvHqOxEWScDYccXZ4wvhowOL0jGgwJhtNKUcz1aPRhH/++Hd/ccH5X/7lX+att976oWB8o9HgK1/5yjkY/4UvfAFTFhiftJ+ofQLOf9L+ujWZRz6MHvPt+ft8c36Hp8kJpmbwenCDzzVfUWB932rzi/T3nDw+4+GdJwqsf/jeU46fjpUMWWH7FJ0dtI1N2G0S7Y9IWo8omofstQPFqn+5dZmbzUtca+xhr3xlyqdD8j94mydffcDvj1p8y91n8uoZxaWvcuv4fX7p3pL91MO79Qpf+0rAW7cqPuu+zn/t/TpdvZaHzauCfzP/Dv9q9i26lQPf/oA/+eg/ky8KvGc+/lGD5lkL326w0d2ie7CPdXmPE83j3tMx08MxydMpzCvMzMEoHVwroNtpsbXR5Pp2wLVum0uXO1z7Gw36r1qUD2ckv/M+2defUYYxo0bF9968zPGtS2i+TarBwI4Y+Yc4D/49w4dv89DpUva/hN5+Bctr0fNkUxASX7nD2Dkjn2zROdnFX3RUotHxxePawnYMpMDZ0GqZcE0TiUyRn5yRL5ZkIneepIhIgDBTCkwlYyp+4GViUYR2LaeeGGiRoKU18C4SpKZVL9AtAa0UE9pUPr2loZFqJYl4cFYxvXzCdjTlymJKkGZqQfTYbnDX6fFIVArEK04+C10jN3U6Mbx2qnGw9Dj1C77vhzyxU8UyP0iabEm9xuVDiv0pVdlFn+6ipy6am2B2JrjdGb6fEjgZXS1jY1HQHlo0zkyMhUmUW4w8naGncerBkzxlPMoUozYRwOdZTnmcUY1TlbgVmXWjBfqORuonlHZKSUyZxpSLiGKaYIo8awIbjsduu8PW5jabGztc1jfYX9gEI2FflRS+TrhvsNwuCYMQlhOc0xHuWYR7ouFO6uKbognJDZjd1jm8nvLMmjCYzBiMp5yMR0yXS3RJLusWB+09rnWvseldxi4PqKJLzKcbjFeiPFL9f2lb49KOxqUtjW5rxey78N0kyamWKWWYUi4TqmlIOY2o5hHlPKYS/+1FTLVIqeRxYfdKj0R+WCokajlS4Y+V6/9MAe4LErdg6WaElvSUpZURmTmxXpDoBbFRkGh1j/WSWKJREBo5c1uenxObBblWKvn6XKtULMRbV683omK/cL7ZEAWBVa2JnDPQ6Wk+18wuV80uV+wuB1YLV2S9Ko1RGnISLTldLjmM55wkCyrdoOm2abldDNNWTHxRC7B0W80/9ipahqkAKUuuf83ClITRuj3Pjb/ovV5pat5Jq4ykyhjlEZUUF5gu0YGN3QjQlzbahxbhYsZj+y5H0w8JJyd4S4OXFi9xtXiDrvdZzLyLM6w3lkdXIiafmnDrxl1+qXiCN01JI4ui3yLxXRa6zePM5Y5lcpaANdKxH7t4dxsEDxoYQxcj1igXpZLs1w90yo1aocA+0fFiDd2o8K6WBJ+16bzm8dqNJo74CK82refg0PrPXrNIL5yW4+fvyw95bDVO44zJ/QGDD4+48/6SD55mPJpVLBPx9VuSJVJwJPOapthLkrwRcLm7IUC9T7vj0mmZ6Lp4EYf41ZyWnRF4dWFSo0jYkSKrMGCZbLKI+izmbZZDh3gkagqVKnCSazQU0D4Tn/QMN08VSKKFJUVukOQi01tXH0iCX7MM/K5B+5ZL8imPxzc0vl8tGUwi0Ynkhmnw5m6Hz7yyx6vbbWxJbDxcEL83rcH6D2dUUtgTmDi3Gvh7GUk54MP37/DwwSEPZzEPopzDrCDUNWJTR+sFlDtt2G7R3ulw+dIOlza7bOs++h/pTP5dRnJakTVNBr7GUi+wrZLdTZ2ttkHLFK/pjJn4041TjicJx+LpnYu8WoWYg2zZBluWcR43Zd6XRIMA9ivgXpiKhg+OFWHpS+xijpnPMWKxTpCCFnmP6oKvF5ok5VdAvUTNFeDeARWfg/gXx6VhMTlMefZ+zMndhMGDhMnjmNlpTpTIplSUEAz8HZutqw4HLzvc/JTL7nUHr/fzl/D/YU1UJqb3QyYfLJh9eEb8+Bnl9ATHGUP7BLM7wnJnJEZKSkZoGowtF625hdc7YHP7Jgf7r7G5ea0ugFr/3LJglobnQPcaYJc4WYHcF88v0+gHXpsjgLfbpL0CvWV+FPURkSCUhElW5KvjnCQyCEctolGLZNIhm3SVX7Zoo+uNCUZzgN44RPefgHmqgDCZ0VXSXPlPi2f988/L0nTatkPbcmhZDh3braPlqnPymIxblq0eE3nZP7WZHrrbRXN76G5Pqe9IE8D/NBxzuhwzCCcfi2P1Pp03TVMFeFtBl02/y5bfZTPosOG11Xtzsa3vVcJQGoQpw1D8LFM1lni2TBlfkOCVhGzPs9kMLOWd2/dMNpyCvpngaTFJERPlEYssYZZFLNJYJaLrLvKaiUrcfNz3UbRuGpZF07RX3aqPjfqcbxjqOhlEc07iBYM45CyV+bciKxsUeQOtFNudDlrRoSha5FWAKYoDBXhpyuZyQj+Z0U1mWEpaRdaIFpHbIbICGmSIoKbcRGQalUyKlDoaTg5itWTlBHpMR1/S0ZZ0tTkN4trKR2x8FPZno5WiRGThVSYGjmLCG7qPqdtKHt4oxfZHiunWwLuO5nkKcKctllOBJG1AYkviamzXhSU/aasEfFxGsJR1XlgD9suQdLZgNp4STeZqXC6X5ElGItLu66SnWC8o+4WarfXxaycyDELpuq76UrpmsNQ0dbzQNDVeoLFEIkTCTV0jEkLTEmWHC0UIqqtjsXKoaejmKiEvrESxSHCmOvYAjCMoj6E6qihFub7SyDyDqG+SblqUvoGRVRhJhZFWmHGBHZdYSaHGhvSkVH+f6CvVgLm8JJ2gkdPvL9nYWCrWaKe5oO1N8cw5pqw1DI3C8In1DouqxSQNGEQ+p0uXo6XHWWSxiIXdWBEp1R6xT6jVKEQ1wShL7CLFq3K8qsCXWKT4RYYjhRBRRhI6RKFHkYmMrdh5pTStCU1zTMMcEOhnBMZQGRXUa98VU25V7FxJItywqcz6PiVjifKY12nRvbxD/+o+wUZXqSEo1QRbFBIsNBXtugBgpZrw8XOa8/yaFPnT84KQKHlRVeuF2ebC8IelSC+e+9jjNcBeKkC9jGKI4jrGifh2UMlGfqWCVoPt6UoFK1drJqX+sS5UWXlyPR/X52V2UqrS+voarNEnKYaowXoPrVF/N/VWE73TRpPvaeCB562iW/+7n2KrX6f87TJ31X/Tc4moVVGBFDfvbHGY2rz9KOJ7D2PefRITZxWBq/Opy64C64VZv935LxOylmnBNx7P+JOHExXXNhfSxK9epO87nqli68K4szpuuwZtrz4WlvFfRhOrGmHXl/PDFYIo0skCrMvnaikAdHFWsBzkLAYp4SouThMWJzHxtJZiln+rmPdbPo2dgMZOHYPtOrptG8MxMOy6m44U2/z4zOIf629J5hTTRyTDB5w+ecjJ06ecns04mZocjR3uzfZ4ONvmLO2QVw6i2yaSy1tWzLaR0xRlnFzDSWFSlBz6Gg88WJrQszQ+a2TszRY4RzO6sUPfaODpDsblDssvHjC81uVBDh8chopBLE0Y1Ld2ffrhEO0730W/8y7tjRa3/8GvcPPv/7KSkc6TlI/+x6/x7v/795gMplSf+QzlZz7H08JTgPxaov7Gjn8Oxr9y0FBs9nVLs4Jv/ac7/OF/uMdbdyIeT1yKXFf3XZnvzvd3q/+ti8LWBRLnj66eIHO+zPdq7l+PpTBb7vmiDFj7mNQKdYZNKNeK7OmVFbCI3hV4VYJXJrhFjKvn2GaO5Si5IxITdT8sXIvSEXsoi3YvoLfZZGurxe5um+1+A8+S+5pWF7bpdZS/Wqx9ZK1QCFt8mTKbxJyMUk5HCWfTnPGsYLIQr/QSqU+fJxpRJoX8os4gSkeV8ikP3EqB9622Tqdn023pdJsG7YauCqGlgGuSD3mcvsfj9B2eZe+RVjEmAT3tNk1u4+cvkxW++pymcaHsN7JS1kkC9ApILsWEsv/WRa+wLuCUgg7V62lL3fpWrHxZR8rnrcarY/lcxK7Ss3VleynnP844X4OxP0mTn7mWlZcoe0XZ9imme8umswLauy8A8AK416D/X+cm19FbD0b8628e8cfvj3lwnKg1t8zlt/Y9vnCzyS+/1qDZKhiGS4bRUoHjEtd9mvzgnu2n1eRykMKRJBZ7T50sleu5wjAq2mqf4rHVDNhpNthvN9lvt9hvthQIL8UCohT6l9XUWiObUKQD8uSUIjkjToZMlgPC+Iw0nRNlKYlYOKmZSNbFDRynR9PfoB/ssNHawbA66GYTw2qr+LPyu6+k8GGe8HS85MloydNxyJPhkmfjkKNpdK7go55LDb7LvlupPaji5EJZmErMV+N10cW6yRyicvl6vd6Xefje994m+x/+D7+44LxMiuvWbDYVWL8G4z//+c9j/JQXin8d2yfg/Cftr3s7Tod8a36Ht+Z3uLN8oACpa+4en2++yuebt7nq7v1CJJsvttl4oRj1AtY/ePcJ998/VpJUkqrTujuYW5s4lxuUN5YMGh+QBM9UteiVYJfP9W/zjw9+jZYVUJ7NWP7uWzz5t1/lnbjPR7tf5PTA42T7T+ilf8AX7p1xayjSwj2+++Ue9764zd/q/y1+3fklVaEq7WE64L8Z/wGH2YRfsa5hjad87eF/5t7pA/JFyuZpA+sji+RuvRCRBFG/16R59RLjgy1ORXZZrBYfzLEOwRq65MucIk/Ua3b0kq7v0es2uPxam1/+hwfc2G7R/A9Pyf7gMaVIW+cR9y81+PbnX6PYF5BdEm0lR96cUfoexkd/wMPxI9LmK1j9r1AFO7iuw5ab0Wk9Y3TpPme2sJ+FJVqujL5l8S6O6TaGbBpLG0N6JYUEtjoWpn3d6qRJqSUUxHXXYrJKvMojojAkE8/LwKYKXErDo8htitw6j2ZRcnMU8cZgweuDBY1EY2x53O+0edxqceI2WRg+WWkpJrOoD4j3diOHRqqzUWU0gxn33ZD3ZSMbW5ilW8vu92N6/QXtrI822oHYV9LN3W7C3m7IQTtmO8rxpiXxpGAe5kyrgrFb8rTIeRwlDMcpy0FKfJqSnWTkp5lKIKpksshAb1voexpRW/zCU4oyJo8iGCdU8wy71LFTAaoa7Dst+laTbrNPp7nJRr+P53uqAKExj3BGoWLoaFse+kEDHIf03pjsziO04RA9jNBzSVRopIHG9ACOrlXcv5pw1zzm6fSQaTw9/75sN7e40r3E5VVvGpcpwm2OnlUcPUtI5PVJMtzL2Qkytv2cDTvDEf+pKFPAe74sKARUFAsC8V5PM+6ZZxy7c0otV12k8OtxQWlVFE6lJL9LB8WSz+2KzKnI7ZLMgtysyIxSeYkLWC7jTCvIyBUA/eJqTCo6C7IqIy0TSpEulGtOdZGYl0VlRlqkirFeY+y1koOk3JumT8cS9mKbTavHjrVBr2qjT1LKaQyzhHIWUy5T8lCShhlFmqrfKSLm4gkvrzc3RSndobUhIG6DbjOgLQk+kXEtha2bMJ7HjOcJkygjigpGiTAPCxZVxqLMWVCQCitAr9l+ppKwM/B9C7+pY7uVuqZkn2mI1ZeAqMrmq95MG2ILUFk0ix5b+obaXMeFeJ+FxHZBvOPgtDaxZi75e02GRcTAuctkcofF8QOsaUU33eJq8Wl2qy/SjnbQQo15I+fwtRnepx/xK5uP2TdzXHcb29sk0SCpUkJh/mQu70QZ94qQwk+wU53gbovNDzbYuNchvasxOcqUzaze0NG7Gq4N9qKC0FBWB+ZmydUvWnz5Nzfov9pQSdWfWZNK99Mp995bcudBzkcTjblUQJsTEtmMRClOHtN3DJqaxXIWMx6GTEbhSjpfQJyCOBFWX0nQgK2OztUeXOlUXGvnbDVkgyl8D59l1GUZdlku2iyGDpNnMJ/BMtMIK4jaOlVH7gMlu62CLTPFWsZExwISJ5w9K5lFIlWtK6Z965ZDetvm3k7G29WCaVVhezav7HV4c7vNGxtNbnZ85WGZ3psTv1sz69P7CwWQG10b56aHtXFGlYqU/4iTkzHPzhY8CTMezmMehyny8RSVQy+6QXdxRYGbw5sho19JKW87bBhNGkOf6qFJeF8jPjNxbZtOx+bWyz4vvexy4yWXg8s2k0nKkydLHj9a8vjBnKePlxyfxFTCVCkr+i7suSX7VsyevuSyPmOHqWJfSpIqyx2S1CfNA5IyIC0DysrEdArcTR13Q8fpatjNEjuoMN0KrUhqkEEl/wUISGrm3cebrHe8NYgvwL2H5jpkms10bnN0YvLkmc7RIQxPNOKxVPkLS1bHa5r0rzjsv+Swc92lfWDT3rdp7drool39c9yysGB6d8nkwwWTj5bM7k4pxgNM74ysd4ixdYbpD3H1KWgiOV3LnMZui0Pb4aGmcx+NI0MYrc+/r6Zh0nWatN3nDPOLx123qZjmHVekFIWJ8WeX3JXCl2cnGXcfpdx7nHH/cc5gVAM2nlexs5Oz3Ruy0XhK2/0IIz+haeh0TIuWaeIpyfg/5XP6CVMAVR5S5c+TWZpuo7mdFVjfR3O7CrR/Dt7XrLgkT8/B+lOJ50C+xImKin3/k7wW9T/xFJSCIEn86qoAKMlFatwkKSySwqYU/4/nr1hJrgtLzdErXL3EEbURvUJEYMTtp2FoNEwIDI2mKV0nMHQ88Z/XwVbr1PX4uS/9nm/Rk++ZFEmYLpVuMykrTrOc0zTlLE04TWJOkyWn8ZKTMGSROuRlg7xoUJVNzKqjKg7L3D23DegXIS+Vx/haSltb0mFOmwU9iVqkfEIlmStJXs1qYloBruXh6x665qLJ+jUzIZRCqfgHP3N5zQLmNYMaeF+D7So21GMCcv7MbL7CmMfTxQv9yUzYRM8VZ/qey+V2g2uByw3b5LJlsCc+p8J2kz/nYlGSxFX/MxULvMCIqhk3cZ4r/1wVi1quV4oE4ly8WVfxTzlWzx/lJE9y8sOc4lmpAPsqlLViRSVrR1c6VKuo1pESpcjWqWjqKV09ZZOYHT1lr0jYTFM6Ugyn7JKkaNdgGbhkvvycHFfWNEasClPcMsSqYgzDVPduYeqbrQ2s1iZa0Cfz+0xpchRaPJvrnIwFZIkYzhPGYa7sy2aZxrLUVtKyKzUZAfJjsCcVzqzCnoE9rbDnAiDVaj+lX1G1cghSaMYYXohlhphlipVnmGWGVWTYVa6KSSxh8y8ivNGQznJCy9QIWg38ho8bBDW4sgK6FJCiuhSYrsfPzwk4o/5eVRRZUyIlnpepnuvprv73MWC++iHnLv6bF37ORQsPTRLWNXtTwWir516MqmBWjg2dSnKg0k1DKUdUysrBorLFykEWlKsCBMOgkHv+cqkUKQhjNLn/J9nH3oPn740q5lwX2gjoK79P/R6NSnLllqhVFFRmhmaXmL7YcQh4qlMjfpryAZK9qKLr1gJKaMqTYnW8Kuw4fx/Pv1AvDjSnifbSy2iv3oSXr1GYFh8dJbz9KOZ7j2LuHsl+R0BVUwH1ill/WZh6f3qOWL6fD0cRkzhnGuUqzuLi/HgqUZ0TO7UflGqWOfwFAN8zlax0+8Lxla7LbvPPVoT0s2pifbU8CVkcS1/WfXW8PF4SjV5U7vp4q8F6/QXgfj0WAP8HHhPCgfPic+S6ShcpyTQlmSXEKspxQjwOSadzJfFPnqj1g+xbnxgBD4IuT9wNloar8jCBHmJrSwwWGALMioqfWxd2LyYp46Ji2haPbZ2bWcT+6Zj2IGG79OhpDTzXpX17g62/fRXti/s1UP9sqfrdo1BdI4WooM3O8J8+YJclb7xxwN07hzxMbOaXrjPvbKn7nbDwXxUg/iBQ8db+c4l6aUU05u47H/GHv/eQr3474cPTBllqYuUlO+GSvcWSjWRJU/IKqzlAFONyTSfXNKUEUwg4vlKFyaXoTtdUwdlaKUZsyypNp5TvvK6vHquVZOScWA46WY6fZXiqp7iJ7ANilVdYVgWRUZIICUSTQv2izldIsacUX1UlTlViSwGfKnSTAo81KC35O50iX0naK8ZpHZVS3mr8YrFSPf9IrsqsdNGuk4waliZF+bKXtygMh8x0SQybuRQOmxZT22FmOSwtR/3N8j7IQs02M1UcLftQ3SkxTLGNi8mDx4TBPRb+fWLnRE22brJDI7yuuhfvUUnebFXE7tgmrrPqrvViXHXHEVUgs1aHUYVPknMyqOQz0WSvK/c9TanqpHKPMkw821IMcOm2sOQlyr2rEtWeHLsoVDTzDFvub0Wm7nd2lmDnovCToglbWoq2pGBLPjspalo3mWaEqCqFV6JMJNFaHa/uD9jr49Vj6nkXzq2P5edc/BlyP/g5msd+Gi1MMv5/3z3h333nhG/fn3Myrr97UkTz6WtNfuPNTf7R53ZpB88B4qwoGMVLzsIauBewuZZ5X6mFXCBK1LG+pi5GAXoHs5RT6dNE9ZNJ3cVioCg0ykLHF7UrIVeVLyozKJuhlVqDqAaIXYNSZFhFsX5ouD8qrp7jipKDpUggfzG2e2K1OWcZDng8eszx7JDR4phlNKTMZzSMjLaR0VIWnTa+aano2a0aqLdaGGZLRV2i2VT2oZrp19EQG4IX7/ky5xxPIj46nnP/dMmjs5Ano4ijccTJVBSHVyz4olLFLmuL3npZIjn7HPmvqDI0o1QkGiHjGWZF07FoeVL0YtPzXTYCh81mwHbDV+THvVaDfsNV77MU6IhuybMn9/jyL32Wp8fRLy44/1u/9VvnYPznPve5F8D6T9pPH5z/F//iX7C/v6/Gn4Dzn7S/jm1RhHx38aEC6r8z/4BIPFes9jmj/jX/ulr0/2W1JEn4+te/rsZf+tKXcJwfT4pf5C6ffnTEg/ee8OHbT/jg7adMxrFa39ndLdzdbdovNTFuZtxrfwfNnfEPL/0q//jSr9EwPcrpkrf/2X9H8kffJ7N3OHn1N3nP3OFe61towf/Ea08+4M1HoZJbvPvZPpNf+xR/98Y/4XXrJfX7s6rgv5+9pZj0HSPg7zfe4GW6fOf4bb529BYfTh6gFxob400a9xq0H2rEwynPxlPiqmJh24SbLfLtLcx2G7dosxPtERxtEo4jqnKBkc/I4inLVHy9Yfd6g9uvbnJ5lHFwb8ZBmGPlCRM94Wufu83hq1fxuyLnWTExMp7YY47GXyV6/DUWqYXf+jxV9zU0r0XXLrnKhMBOiF2bxHLqzY6wOdYS9gJO2ig/8ixKSGZL0kVEOo9J5yHpPCGfp2QSFwn5LFJAp2JFq/2KJKbqz0uk7sVHvNP02XQ9Oq6P5/jkQYMwaDBtBOS2Ti5ykUZF00jrbmWKwdpyCppuoaTuS1tnVul88AC++8hllLWw6dKjz57rs9excUQKM9dxTI1L3YrrrYiONWcqrOdwyZPpkuNFrJJu8TgnHmXEg5ToLCNPxTNWUyB84Ns0Oib6ZkHcjUncRBUhyPtQnsbyBVMbLweT3aDNgduhb9aAcNvr0Wt0sGxbKQi4LQMvMPCTDPtkiT4Ia5LApQZsBiTTmOTr96menJIvFophm5kVkVfydGvJh1tj3u6dcNJYqNWyYzrst/fYb++y39pjNw7YHjtsHulkw4rZWUo4K0kWIu0qFeeyJzEwbRNDFsjC2NFNSk2kwE1K0yIxDRZmwaF3xrE34Ng9YeAOGDhnjO3xOdO9XpTXcn96pWMKA62SKso6mqXA46uo2Gn6hf9qt3lJDiqpciUDt4qyJFpR4sq8qn9uaWKpLa58nrK4dWnYPoEZENg+DdvDtWwc28CywRJLBasg12NSbUmihaRaSK6lKvlWtpaUrRDsj0ukCbhvIr+tWmhUhwXVsxztJEc/LdDPCoxxgSNJ2BzchonbsjH7NtqmiRbIRk+nFKTAMNBzU8nnG4mBHhkUiUGYGgxHFYfHOQ8eJ5wMIQqh0Wqyfa3DwasdLt9qcelKg6Zlkk1DwnhKlE5ZeBM+vPGA79v3ODyTxKTPFlvsGdtYIudeFoy1JcugQm/7bDQuY832eBaGHE/fZ370fSYP7xFNQ6zc4+X0l7gUf5HmbJdSMzi5EnH46SHe1UNuWyMus8DKAwxtg8DzMQPxqodZ5vIgznhXi1m2UqWAESQu22cb3Hhni/a3XWZPM5ZRRWhpROIvvywoI1359MqeeGOj4M3P67zyax7OlQB9K4DgZ+djnmZlDdR/EPPBScqCHL2RUNkGrp1yvT3nMwd9Xr5+STGYBKQXsH48jFR89mzGe/dHPHg0ZhmmisXRNOFyT+elTsFeI2O7VbHT1dnq2zi+Q5a5LKYNlvMmo4HL6NhiemIQxrKl0ak8A++Sw8YNj73rppLqnb434vjbM07vZ0wXlroovbZBsFsR7eTcv2Xw7oFDJMkUy+C1XoNPbTR5U5RX2h6IFcmHM5L3prUU/oM5s9kMrQ3tz7Zhv8A0IiyR4x/qvP1Nk3vvmuo+nLefceLf5SifkRuGAjmCXgN7p0263WK46RPaNuXURxt6WEMfY+ih5aIUodHe1di8onOwX3K7G7NXhgRncxaPl5w9jTieahzOTZ6FNjNBXWzx87XZv9Tg4EaHy1dbShZ/b9NVYGC5LEiHKcmziPgwVjE5jMhGz1nCVs/C2fNw9j3cPRdnz8XdtrCaoEmSRwH2K9beisUnvYpXj6mEkDD6Vuy98+ulYjixGIxsRhOLycJjHrrEsUMpc5qpY9k67T60t3XauwbtXUuB9u1LLnbXqRNAP0wb8oeeW/uO/xllF6Ug4SIT8eJYojqux/k0IjlekgxCslFEPpFKwQTNWqAFMyo/RHciKjfDcLI6AebaVN0trK3LuBvXcDauovcO0MQ/4i+hSWHmgye58q1X8WlBFNdsqd0tg70dg/1tg/0dg71tg277p8yOyyPKeEwVj1QvL8ZoRCX+Fy+A988B+x8F3iuQdj7im2+9pf6d5AgsSUyLF2w6oYqnVOmUKplSJlNIJmpcicfu+ndpel0oYLdV1J0u8mWYak1VYDUvJCFnKkWiuCgVyJoWlRoLAJteAFNrQLYGWM/B2QvP+VEMqY7rcK3T5HpXekv1q50G7g9RApS/eZFG54UKEk+WI04XI/LBMzrDAZeWMy4VkSq6k3k31RSSho2FW9nYpYubOdi5haG7SpFGlMOkgMRsNtEFXA98tIZfy2ALCB+sxyKHLcmwnz0xQt5TAdzPwffp8hyEl/dYmoADl1qBAuEvtRoqqnG7oZKaP25TIEJRY4WSpJMo1i8rhfpaylJsmdePF8/P1//m+XnBHloNjXZLp9PUaQTPGZB/3nYx/SYymvI+rK89uc7qY7lOaxaPnE8uXJPr52ZpijWd48wXuPMFwWKJv1zSXIbYiRTOCpBSs/rk7msaqQJhSysHI0U3MmwzxdHT53OzYZDaTRKvSxb0KQTA72xjtbewmxsso5Jvv/U9pRxw89XXsB1PAUWyjxI2omCfUqg5exYzfRyxeBIRPo0Jn8X1ekj+dkdH39ShD2WnpOjkpEFMJuo7OSSFrortZE/ixhGtcE4vWrCVLbmih1wzUy6bKQ3PRpMCKGFk6aIs41NaYolgKgBL9nQCbAk4VmPJtayp+hwFrK71jte6x/W9SMnpCqAtslLlc2AxW0IWUWUh4v1UpXIcUiULJQF73tZK4qb8DA3dcdH9BrrXQA+aGH4LvdHCaHTQ/Ta636pBa3fVnQaa6fzkTLc4oViGdQ/l/jYiP3tKPnxGeXZKOZ2A2Ess5b5Xouea8p/WKwNd9hsCSknhgrpexDsaNKtSxbIC4Ot2pcB7XXXxMpLyAvHIlvWDQu+ptJrRW2nrx4v6nDoPRtTGyrYx8z6a34Lbt9A/8wW0G9fVXCR+58KmF6D+7Ycxh+NM7U+ub9s1WH/V49aeo1imf9YmLNc1WL/uk3MAv1AA/vPjnPkFD2eRzX99u8HruwGvi+Jfz/ux5Pj/MsH70eMJ3/rqtyizilduvqL2p2JRJYpDRSq9VDFfHycXxqvHij/lsTIrsQJLsfOdtqO6GrdWxy0bd3VenfNFzeUY5o/IJw958GDA1z+y+ObhHscLYV+a3NovubJr0mr7PBtrfPBgzJOHYxbDiHieU1oGyYaLH+jshxF7J2O2xwW7WoMN3VeFPP0v7CmgfuNvXEZv2Dw8jVZgfci7DyZ8+NGpUmaxfY/rL23xxs3+ORh/deu5RH2VRZTTBxw9fMTX/vMRf/TVkneOuoSJI2rwbC+XbEULNuIleDnmtTZXvrDPq3/zOi9/8QDHsTCUZHddJCRtoYpGUmaRyLinzBZLpvMZk+WS2SJkFkbMwuRc8l2uyUyA+DJjI0/ZKDI2ylzlmURiPk80vLyiISSOwsArDbzMxEpqGz0t1us5WsTzxYpO9hkNi9wXezeDxKwINbEQylkW0lOSPMcVFRPdxNN0XCkGqHRcAd0LkFuIJfmVrEJPyrqvyJiyT5CiKDXN+hZWy8FsOypaHQez5SillvhkwfLpjPBwznKwZJTCsDQYVQZjzWRi2Uxtm5ntqHlc1B502X/4Ghsdg/ZmRbl1xrxxn2PtO2TmIZ5jcdm7rVSC0jwjyTJFZsjynCwXUsNzgkOu2LOZkrWXsRSJCklB5i8B9ERF05BdqyZ6mWLMUCvYOJXBfr7BtXyLG8UWt4pNDspmLWNv6rWU/Sqqz13uJVLkKIWDElV36sLHC8dS2S93kjvvvYeeF9y6fh1LiqNEfUT1XO1llOKQUl158bz0Ms/VvVPN4+soheCiXKKUoTRMKXoJRAnLQvkLyDpQsSQujiWK0ufz8fPzq+OL4/Vj6zXSj1KZWRe+SaFDKvuXlDgRO9GcKJaYEcW5OpfEOYk8ltTnZJ3WE4WHjZZSeNjcbtHfaKJLkcK6wE0xPQyeTBL+1XdP+b13x7z7JGQpKkSaxpVtly+93OYffX6XX7nd+7HwyDUzW1jZ0u8PFnx0vODRIORkktZCMXLLw1DrfYmVkKp0XRX1CNP64tJR1pZCrBGVpnrtWb8nNVhf7+fky63+q8QMdCXHrtTW5F67Xq48t2FQ/6aiZncbosRQK1lKlGIbSwgyK7UpMXaVvKheVOi52CUqidy6F5W6bsqVIqBaP8v33BXLQrluLOxVN5264EC95SuliaKqCx6G0YJxPGUWj0mzBa6R0TBLtsRSw9Xp2BUts8DVJXeuqRzhIjWYJzqTSGcam6rPEpN5YrJMDPJSfv6qqz9XU2s7AdtlraJbJaYUGJpS1COKPCZNIQNZDq7u4GgOlmZJyZDK18rfXeQlUZITpTlxKnOEFMBLsWFdhfjDxo5ZYOs58/EJv/d/+d/94oLzn7S/WHD+t3/7t88vlE/A+U/aX/cm8sjCpBegXvogG+PqNm82biqg/jONW7TM4C/0NUVRxO/+7u+q8W/8xm/gKUbqT95kGj99csb9d5/w3nfqfioy8ilYnT7Bp68yeWOKvn3IP775Bv/w4FeUR/3DDz/iP/6f/m/cOi7Z7x9wfOtX+I5xgzvZU8ad32N/8gd85t6AVlJyer2N+bd/lb/9+f8VW/aG+r3PsjH/dv5dvhp+iKNb/J3gdX6z8SmSNORrR99S/Xun77MIK7Z5ic913uS/cvrEH51y970HfPTwmO/M5wylOtewsVsdtowDXsqu0EpaaHoDu9HCzUZMFkNO0xGxGSp/LG2ashuWXCngkgF9M2W03+XdL3ye/Jqw2KTYv+LECPkousvh6e8Rjh7imjfx+18kb+7VHqOymhLKay7+zSspPrW4LSgyYfTn9WJW3ZDrKmHxCBNfKds2cYQF7NnYgYfrO3iugy++n6ZFPM8IRzPGssFS/vUicbqqPg5DjDBEl7hYYoVL2kVGm7qCT7yrTMsidWxCx2Xmupx5TQa2y1IXINmjobfZ0tscNBw2hLFbyGKwxNbmFNkJ08UJo9GS+CwhPkuVB3w5LhALcFnNqHSDbymGv96wMBsFpmjld0OKMiGZhJRnCXpcYWsibWaz399gv9Fjy2rRNRq0zQ5tq5bqFfa7qCu7HRN328XdD3Bl0fhoRvnBlHIQKTa0drVJahQcvXuH2UePqaYxbi4br4qlk3OvM+TR5pwn20uKfZ/9zi4H7X0FxO+1d9kt2nQOS8oHQ7J7Zywfh8zzJkutxdLrURpSbGGooghhf0rezrSl8AIysyA1U6b2hGf2IYfWESfmCQNjwMycERuxum5kh+noNoHlEtj1Z9oMHJWAS8wFjaaDWdlohYGW6UqCltSsYy6/yFDAHeLFlglYraPlBkZhKRUAvTBVFH95+RlybMqxsMRlA6oW0HIskvx1VCyWqmbHr3udVNNf6NrFsQAWtXDeCoCvj4VVlbghob1gac6Z6TNmxpQJEzIjRhP5brPACai7jyoOsYTl7sj+bZV8S3LMSYE/1ug+tWg/tWgObFVYoHk6xYYFLUuxcGzDxip0DHlfVkqdsg8Qya/FFEajgtGkEkIQpSQWmk06uy22rnfo97v0kyb5+yFn7hnf+dJHvN16jwejI6aTnE7Z5UDb5kDfxsVWjKSJtiSS1+r2MZzryAsv47uMPvg+Tz94xPHkWBUR3Fr+KtcWnyeIOyzbOfdeX3L6RkwQRFw1R2wxQ5sXVPMGTumz0ZUNHsRLnUlV8ahT8XSnoJLCiNSkc9Lh6oNNXn2/i31SMRf2TgUnScbwtEKfmdiJpRiY3VbK5YOE6zcK2lcdqp5H3vYoum7t8Spy6JLcVcql2oXjmt0gUYpexJbjx2kCvN57UvLunZA7jxeKWaF5uUq2duwprzdHfLbfZnv/Cmx16w33hfvMs+M5/+ndU77x4Rn3Hk7IhiHONMYJUxoC+mcJXTdnu5Gx09HY6Zvs7DTY3m3QbDtEU4vxicn42GR2ajI9tZlOfELNUd7swTWb/ksO280U42TC2ffnnHyYMB1raiPv2iX+bkH+isvjzzf51kZFKv6JpsHrG03e6Dd4c7PJpYZLeLbgj/6738OawKd2X4GzjNNHC+4+LDgZ6Fh+ydXXCq5dN2mJd7MvVhALTqYDnpye8vhwwJNJyON5RCRJDdPEdh2a7QC718Lc7dDRHfrLis1pQm8R0spEZhwKAwaey3Hb4WTT4WTX4rjtMpMkXWpgjQ0Y6ZRnkJ5BciZysDXTzQtMtnYddnY9drd9Lm8HXNltcGWnQWDqpEcxsQLrV1H6UUyZ1MlvAQScXfc5aK+ih3PgKTn9H7qGkHucYm5cAOxXPZrHDE5izgYJw6OE2VFOOa9AlMojnWxpkIT1/C/NcwsCP6uxDlFEkeSBShzUCYeLx5JYqC0d6gSDYg8Y2gtRSfyb9fUugIecbwUJ/XaIJ14SP0wtYN1k0lOsQ2GQrBJgMl5JIMs4ywyWw5LFacH8KCc6jXCiMYE2IfDPMO0lOCGlqkoSnwuNyhSv8DaltwutPfT+Aeb2JeytTdyejamKlf5iEvbyvTwerAD7pzmHxwWHJ6J8sf48NHa3a6BeQHsB7/e2DAL/Z1MgX4P3NWBfg/Y1kF9GQyoZfwy8x+mS6JtMkhbDZ9+lYc7Z32ygly/KTWp2UwHuCoB3ROZaGPtdNKejpPZFYv8v6j0Xn8I1UCoAapTnPJ0teTCc8HQw5mg0YTJd4BQFXlGy51pcdmwOXIsd22TLNGjLdS/rzSSliheU4SFVckyZD0QfWBnNULUpy7Zi1ueSaNZhKQWaFkyNkpGZc6ZlnGgJAxLmFqqLDLBc+7ZYKjjPFR4kiprDWuVB1B0kbvhtem7rz/X+zZOUo0XI4Tzk2Wz5fDwXK5zohQKGyxfA93XfbgjTv/79kkgWL9H5smS2qJgvSuaLitmyPB9LlMfEZ/YcTF8t039WTfK+7aZOR8B6keFtroD71fH6Mdv6+QDraiumtC7KElWv+ZJoviCRAmOxCVhGCsStRKVA9iLpHDudYRCikaBpkbK7MXQZlzXbUz1iMcltZnlDeUqHZUPo30rmc92tSjDqemwqRqUUyVakkcFs7jCbOkxnDrOZzWKxUmbQpH4ko9NOcJu5sq0K2ybDjs3A9TjBZYBLWOmqAECKGvQiwqoWyh5GJP1bdohrJjhGjmE7aJYHto9m++gCgIu1iOnQc036esaGFtOrlmxUc2Ut1knHIMVA0YQqmlEpS44LrHi5Rm0PzXbRbCm0k98hmwyrZjKqJLwUKYgPs6LHrzLxqkqEqqjBlErWClJ5sLZCqW92595OAs6fA/UqroB721d71nXBQCn2UlIUJa85nlGmc0iXVGlU/65VUyw0QyTTpYjBej42XTTLV+tjdIci1siWpVK0y+YF+Twjk0L0aazU8VZcQoUMWO0Aq9fE7rWxNjrYm13sjR7WZg+7J3O1hyZ2BZpZM1HLjOzR18ge/mfKxx9iDHXMZQe9bCo5fl7eR//M59BvfQbd7ajXfTbLFau+7pGSrBZg/vbKr/7Nqx5XN392xa3SZM8uYP3dYcg7x0u+f7Tgo7NIXX+BpfPqTsBrAtjvBNza9BUY8vPUflq5pp9lq/JESeI/uveY//zdCV/7AA5HBp6ZcbM/pOeneI7GMtMZzTXuPyh4/DRhGRaK2GBtuAqM2VhG7J4tuBQa7BtNNs2AxkaDzV+5wtavX6X3S3sYTr0ODpOCB6eR8o5fS9TLd6acPaGc3Gf47BHf/taUP/66w/eOtxnHXk08WYHxfjan8nOc2z1e/uUrfO7XX+b27W18z/rzzdlivTGe1n1Sx2o8pRxPyaNEgXpy7cWWFOWVeIqVLYXTYo0h1f1yM5Tclar0lzdXnUpTjSTVyWKdNLNJE5sssUilRyZpWJunIKQlZdmy+t5eKKYVSzKr7SqA3WrXILt1EXRfj9urx9uOUsP7cf92Ib2kZxHpKFJxeTRj9mDM/MmUwXHEyThnGFaMFXhvMTVtppZDKuigpGLcnMpfQPMM2w1xnAjXTfHcBM9P8Rspnp0rVq0UqVhC3CgrrEJsXOpo5YXqdl5gCiip8i26Iq4IoUNUS4d6zH3rlMfWCUNjpqZ3I7dpLjbxphv4y23sxSZV1iARayrLIGi4KpfUaDgEgUNTouSWmq4612w6NBquKuL/+le/RpHkvPHqG+r3pmFKGiYqivrd85iQyWPzVBGFiihXgKsh9195TXL/VVFqpeQeLIQQuQXUhVZux6K1E9DaC2htBgRtj0A+X1FWWeVGVb84znNlZ1Cq+5gU52TnVgXPVRbKGnxWBZLPo4C+6vzqOS84SF1o5+oNUrwrebRUo8r0+tLWhYBSqByV2hOKkpVtqKIeUUk4j/aFfZgG92KDP5nafGNu827sklQ6DaPkU82cL23A39g3abdcHuUWd2Odu5HG/SU8WJQ8WZYspAhGvRXaCnRf2RlZumJd7/VcNZdstGx6DZN+01bzyrqLJYEUhkWp9ELNP1EiSkwFcVqqwrTz86kodpbKqiFKCsUKl8eiMGcZ5ixCKV6QHLXYBpYKSC8lT7EC1mVPL5+HHCurnFLU9uo1mF6IcobYV1XP44W1my7XihRzrmoW6w079XdBfofkEOVzESEdQyd3DDJbp7CNVddV8dQ6KvUJVaQr9m2yb6qjSMqvPhplB6VpOTo5li6qTxmuldF0UppuSsdL6QcZG770VMWum9J0Sppi62Wsig4kZ2rKvUDWeQG6Id1VTP+qCCmLmKqMKPPwxYLKCy2vLLLSJ6l8EomlR1K4pIVLXLhKkU36YBTxv/8//p959o3/zyfg/CftxwPnf+d3fofd3V01/gSc/6R90p43mfYeJyfn8vd3oycKsLrtX1Gs+i80X2XXqQHon2XLsoxHjx6p8ZUrVxRT/afV5pMld99+zB/8D+/w/a+JaoCF+dLLZK/0MK+M+Tuv7PBPX/ucAqf/H//in7P4o7f5+85lrjU2OL18i+91Xue7J/DQ/yod/g23Hn7A3mBJ2gto/81f51f+1v8Gt9lTv2uYL/gfF2/z+8v3VJXfr/q3+Xv+62ykBpPxMW8/fou3PvouD559hJVkys/6zfauikFSMX96xOjwiLPxiDStKz5lIWxWHsPqBh/qX2Liv8r1vk9gLfjO8R3uzx8pkrE1N7BCE08qFFX1XMzQmMNen6u//DmuvnxVLZrSLOH+04e88/2vcvjsjmIvmG4TW3eUP7ZpuXhuE9dvYgcBZmDjyaJL03BVJWLtH29J0k1yDKWwmHQlUyaSt9JjU6qPTVIlNwbdNKJdCgu+wvRddPH967SxBJWrKpJlSDRbMB3PmUzmTCdzFpMF4WxJPFuSL4ShUQMPKzElDN/F9OV9aNC2N3G0DnlUkUxmhGcDEtnEJbIZW+WRBPywSjSR8XcKSruksKESeTYFdJRYZonsVRueR9MLaAVNtrs9tts92l6bluYS6D6OSKSupAulktg0K6zAwBTwtedidJxavm2ckpzOWQymhHFIqKfERkqRFehphZUauCK1Ku5pOoRORhbo0JVNnY9v+3iWjy+ewKVGJRsO8W8Xr/elyLiL5JtJbtjkuk0hiTBRPLA0NEfKuTMKXZyFM+IyJiYhqRIl166kjdQbs7Z2W/uLCdtMvKFNXNPGNUUPQFKLUkRaUVRl7X++8leSbGNqRyRWSGwtie2lGsu5zI7IjfScXb8W4FSqCsp2fr14ls2SAPO6AuoFvK8tMJ//J/JzUjMrmxHF2z+PNYu/UjJ1lQLKVVTSTWv2ipyX311XxRq5RWPRpDFr05y1ac27KrbnXZzMVZsg+UxyNyNrxRRdYRQnpM1YHaetCM2pzgF+5eF2QQ0gIybSZiT5FPfJjM2PCrbv6Ww+sHGX9cZ5di0nvAFFz8O0fJqzgNbMwwtrRq5s/gsTMqsiFwsAYZRJoYwG0UInz9u4+ia9uMdW5nK6GfONX37Cu+13OTo55NH8BDPX2KfPdWOXPX0TF09tJmZVxFyUEuw2Wxubyhv18Vt3efT+MwajU0g8rkw+w/70ZXIj59mVBzy69Yh5v8J2G0qy+EC88VyPruPTMxpsmDmeSNxNS8aTgjtuxXvbEAcVlahXnDTYe9zn1kcb7C4cmBcMlxkfajGjsYb9zMGei3WFePxm9FoRO92UXrPA8EpmFZymOqeJxlRdej+YgBSw8tLLAS+91ual11tcu91UtgE/DlB/90nFO3cj3nm4IJIL0imxrYQD/5A3zVPecGSzvofWa0slAXSadXW82K2kBd86W/KN0yXvny7IhyF7ScFmlGGNQ84eDjh9NqGIYyqRWzQKxa7f2XLZOWizc6lHe8OH6YJ4aHM42eLxszbR0xJD9PBlM9g3aFxz6G1WNOYL0kczBu8umJzV74PjVTSvmmQ3LR7dtPjWjkZqSUW2xWs9HzOaq/tCe9Am/I8Jyb0Md9Ng88sO7WspWryAIsSQZMwEzEMN69RQlhxe18HfFGl3kcCfcjgd8Gw44MnxkEfDOUeLpP5Oy7zhOuxsd9nY3cQMNonYZDz1GA9dKs1DtzT6+zrdy9A8qPD3SnInZ5FnLPOceZowGmSMjxOmxyJTmpNOoZxWlJIPX80kwlgPugbtvkW357C55bCz6bG/7bPnOlJXhTeocA5zBd4nTyXBtfoBMm21TMW2dw88vGs+/vWGivqPWdwhTcCw+8cF9w4L7h4WPD4V9lRJI0q4VCX0khQ/zZXctgAyMouKvLFicqwTB3mdLDg/VlESo6sEjzrH88dUfVx9rs4R1TQBv6PTv2KycbUu6ujf8HE3VswUAd+F+f5nlLYWhmdyFpE9OqV8cgJHpxijAXo0oNIXlHpMpktFRajm4aIyyHKXKOoTJRtk5jalu4vW2sTpODgdC6dr0bzk0bkZYP2IQomfRpPXP5qW50D9s5OCo5OC44FILNbP6bQ09nbMGrBfgfY7G0a9xvkpNZEYnM5LprOS8bRkMiuZjBMm4yXjccJ0mqtzWVYoFrwk8JpBwaVdi91tu54r9hrs7LXptH+2AMyP21TaZDaHkzPVq5MBDIZKXvpioYiwg4VlL6z7KC8I87pIay5JKmXxErPhhfTsKQ1toWQYZe6w+zcw+jfQNq4qcOucVSVsd/tHvwfCqJkmC6bxkkk8Z5quYrxgmiyZqMdW43hOmL0odyxs+y2/y3bQY6fRq2PQY3s1btmBkpoXwL3uy/MoQPxcWFur1rAt9kQOshmw1/QV+32/EdA1fMrMZDYvmS8rFouS6QpoX6yA+Jka1wpUF5vU1DQbOs2GVnvUNnWagaYAGylYW5OmVFJXiFyKPFUrEtWPrZ6zZvisz8mxkL70H3yuNHkt6rpdX78Xrufp6ljqmS4239MUSF8D95ry0V2D+Osor/3n4Xr+Ya2SohGxqVJqK4kqJk4nI9LJEfn0jGJ+RrY4waomWFLtqyT1WyTWBom9QeRskhoNlbgVML+WcNZqfrVIBEtSV+SdWdW1ZhqLs4rlKYQnFdFJSTwUknqdBJZmNDWMTQNjQ6qxDZK2wcRMOYuXjOcZy1hsozwlRbwm/zWMJQ1tRlBO8Ko5frXA1+YYmhRMmwwrj7PKVWo+K91atQ7umxk9s2DTLum7GpuuwYZvKanTjYbLphRkm8qDqfYIV35MdVeAtySC87guRMqjeix2IKt4sUCp9moXwCOjzFKKqFDCNqns62QcFSRhRhLmJFFOFuc4blULYAQFjaDCb0jhoMjf+zWo7XXQvR66v4nmb6IHm+hSfGO5KzDefT7+CXxtK0mun41JB0OywZDk9IzsdKiO1TkBE9dfXE3D7nWwtvrYm6u+tYF34wruJSmOh+LsPtm9P6R4/+vwcIg59ZWFXOVplAcevPEq5vXX0DvX0YMdtQp6NMhWEvgRd54myu+55el86orL7T2HTmDQDgxannSdpvezkfmVoqwPBiHvHi/4/vGSOydLJZdv6Ro3N30+tVsD9q+J77vs+f8S288y1/SzbE8OF3z1G4+5/2jGcJoxmhXM5N6wAp9FMU2+E/E0YzkvCLOcXM+ozAS/imiHS3ZHM16OKy4ZPhu2R2fXZedXemz+2g6tT++gOz7l4phyfI/po4d8+5sF37q7yXeOtjlOG2qCaschG8spdi5gfIL1xjaf+vUbfPmXrnL7pS08YR+vWh7njO5OGH445uyDsbIZWLfn16EUL2U4VYxXxSo6Zd3dKkZmzXXLNIdEd4l1V8VE91RMDVepvrkdl8ZuQGPbo7nl0Ojb+E2zJpusFKMqmVDCKdVS+gyiOVW0hDhc9YQqTaiSjDzSyBd1wW2RaRi2hu0ZmJ6B5ZkYTRfND6DRRGu0oNFGEzsZKa5R9lkf62IvYxhkYfai5cLJUhVJdK406Vxt0b7c+olA/GyakJ6FzB6NmdwbcnJ3yrNnS44HKcN5xUgsWCqTpWGxMC11D3puhVLRrFK6VUpHS+noCV3posRiZgRmhmMVpKLOYOgk6ESVQVQaSn1l9SLqPUlZEWkRZ94JA/+EYXDKWXBKZIbqdbqRT3vapznu0zrr0Rx2MGJLMZFlHySAqtxCVR5FgaJ1rk8vpbhNbJhWBI0VYcNcFRWovJXws6uVdYmAmyvVF4l1cfPKzkUsAj0LXT4/X+5PFdmp5BhTikQsDQtKYQyLmoCoheolqa2RByZJyyZuOiybDou2w9ySXM8PNn2116uzZnWheRDY+J6N59dRChECzyLwLTzdwMs13LzClrxgXGJEBfoyh2WuVM3ScUw+lf3ryidm9d2pa+WE0S0e4fVrjY1S2SnO8pRQ8mEiPONqtDc8+rsBWzs+m12PzbZLr+kq5YT/dH/JHz2O+M6g5DCUT6AuZlD71kpUEpS7gloLbJiFsqfbbFjs9hz6bZeNnkevH9DfbOL3m7Uyle/9yPuNvGYpnigWUkiRqfc/X2Y/4rgeq8/owmPquqNSe8+FGTE1U2ZmwsKTHK+upOOFVOQ7Lr7t0XRdAjdQ+d3ADzA9C0O6b2LI9SDXhVuD6pmpkRqyP9FIdIhVIUFeFw9khWKUSx43H8dUo5hynFCOYxjFaNNE2ZpqkwR9LjadsoavTX9EpSNtWaQNi6RpkQQmcdNi4emcmjlHVkRsZWy2HXY7Hpd6Ppd7Da5tNNltBjRsRxGWZL5PxSYqSomU0kJEFM1I05AkmZOnIVkeUmQhpQDwRaSiVsUEdoOt9ha7vR36/T6WI6C9FA/6aLp7PlZR1nA/Ieb6VwqcPzk54Z133mE0GqnjXq/H66+/zvb29l/my/qFbZ94zn/SPmk/eRtnM769+EAB9W8vPiKrcvbsjXP5+1v+lXP/mV/ENjqZ8Ef/5i3+07/5DmejiGx7j/yll3Aut/nsDZ9/9KlrPHn4dX77X/4/+bzR55+0X8GfpaT7O9y59Fm+PejxwfIjUu/fsHfy+7zyaKTAy9YXvsKn+p+mCkPK5YJkMeVo+ozh7BQjTmjpHn2jgbu60UnycJCmPMsjBuaM1JPkeoe97etc37nFtsjFBgFfO3vM/+sb3yU7WvKF6YyXhxOqtMlDvsCR90tsbezQ9zOezs+YuBMuveHSSVLmf3TM6eM5T8KEiUhZiSxV08V5+Sp7X7jEwaU+vm+yKBI+GN3jZPmQVBsTF2dExSlFKUkTAZE82lafhtfHafQwuj2qXgezKV6HNUhQ62KukyoVlbAWRfouLqniQhXkiYRYUVmq6lOOi6QiTyqyWKQoRa6xokgrqqysC/hESkdlqyrxDljFEk0oIpK8zkpKiVK8oJy9pBIyVb5crsjeNzWKHmQ7YEmSfUukxAy6Zge36EPRwsBTLNH9hsOeZ+NXppJEy7IVOCJx5ZMsi0ABDUUQUtVTW7JRE4NWjcwqlU96Gi+J45B4WcckS4jKmKxK8TKDZmrTThy6qad86IVcmToF2qaHe71P62CLhrdivMlGZxJSnC2oBnPKswX5JFIAfGp6LFyfGA8RORT/tIm9YOKdcuY/5sh9SKQtycWDVhbmAlMrzab6OyA/3zEcPMOnYbUI9Bau1sStGsqTVWT0E2F1aBmZnioZeNnkK0lLqQKRKoLUUsx3V3PwKwdXYN/KwZFx6SgJeykmELBdQKQsyUmlunWZKxm+RFgoi0qxUspQfuaa075qUvchlGyFO638rFYklbXn1Y987Py4HitAXlFXaxUA2enpjZzuVY3mpYJgP8faTNB7YlewZJGIL2CJPnWxZwHWNMCeNvCnbazIE5H+Wqrf1bDbOn7botF2VXfaujonj11scn0sy4jZ6SGzb7xL+P17VEcTnLmOmelUdg3WT26njF9OSbs6/plL49Cn+SygeejhLh10zVL+mItNnWInVQzWOBa1EJ183KI56bPbbLL4isb3fnnA/eoJw6NDHieHzLIBPVxednY5MDbZKDfxqoaS0FqUCbEpSXSXBgb+N/tUH1icMGGamzhHffRY47D3gHf3vsph70NyLScTjz5bNjsNWn7A7sYm1zd3uN1psYFOQ8zMhzrvByZvb2sMvIw8time9tkftjmYuOxPHDbmNqFdcBrnnH5Qkj8wFRNZKikKI0OzUlpuyU67YKdXIcvizhWbqueTNB2SoJb5Gw8S7r474+47U5bTHEPsLF5qKKBe+lUB6/8L4GuSVnz0OOc7Hy64c5gSS4LALgicBZc697ja/ogd/xhHKpsNWyV2dWGOOR66EzAn4PvjJm8PGzxeSMETvNoteLObs5OmTE4yBo9CTh9MFHv95FlEtKiLiMSZULHOlDW6KCbIBrKPkbYwFjbWzMJeCCtPkBONSjzYN6ETTtEGC6JhRbQUgw0D1ykJdiG7bvD0JZPBwkL/ng4TiHY1hl+AhbizXJQhlelOmAAqOS5MEwGTVwoYYtEsUo2pyHAKw0L8nTVsRyTicuVfmUfCQlzUfb4knS1IF6GqSJeiGClnsc0G6E0KGqA1cPQWW3bANcfjslVy2SjYM0QqUanHqhaZFcttk7MNnWMbjrWSQV4yigtG04zZKGMxykmTVcGRYhcLAK9htKHZM2n3bfo9m76wBA2DdiTfsQrvuGDjbkkzEjQLvEs+3o0A/0YD/0aAd/XHB+wlOS4AvQD1Atg/OCmUuuLFJp+tL5bQjoa/7q5EOX/h3IXz6+eKWuHFZIdsW5eDnOG9mLO7McN7EcO7MemyrsIPNi36L7ls3HD//+z96bNs2XneB/72vHfunE/mme695841F6oKKIAERRKkJMtiy5TbskIdUoQ++oNCdkR3hPtTh9oh/wP9Rc0PdrftaEmOtinLsihZMk1JFAkOKBSAGu+tqjvfe+Zzcs7c89Dxrp1nuFUFoEAABKCuBax6196ZJ28Oe1jrfd7neZC4ct3Fqf/okuOlAFb7hwqsL6Xv7KukZ57PKeyUTCSjWVCUEbkk8zKTMOoyn3aZjzrMZytEUQf/Ql2B9J3n6rSfrdO86n3m5OQPA5YfHufsLEH7kz4YVd+dgJOrK7oC7TfPSeT3uvonfgOR0hewcjItGam4BC/P9Y+DrMIIOs80Pg9a1muaAjylgODgKGf/OOdoIIyb6m9F8VOKB1Z7But9g7W+RJ1+90dbUPAJRQkBnASIPzyi3Jd4XFlFSPM9WOujrfYqmfhTdYanVRpkuyxiyv2PWDx+l3D7FkkwZVbofGT0+WbR5X1jlYleo2Fbp5L4Io8vMvkXmj62sUzICrC8tML5YZokYk+A+uNwoiT1n0wH3BsOeTSZKtB9EolCgKl6UlhYuii+SDfp11wuNutcabW4ubLC9U5HgfEbdY/5xODeo0z1x7sZ01lJEH4y3eR5ArRrNJegu4r+EoCv60pSvtrWcZ2fTiBbmqhUnBzzp8D97Ny5MKkKD6pzQeb8IiWaIwRLo2aoa61Swjmvrr6c38nvfTK/O318Oc87/3xFcFq+hjQpOhB1jFZDU4UM8t02Zazij4bdr1KIiyHF0QOKo/sUxw8pJ/vqMbEQ03pX0ftX0XtX0Tqbld+5gLK5qCKcfWdSrHHyncn3N5mJZyj4LthFjhGnIEnrSUx6FBEfhGpNJE2XOdyGS+eCSNvPGc4O2B4csLMYs/A9ipVViv4aca2uFLR08YAuUlWMa1kmllhcmVLkKyXHpWKkiqdwIsCfFNfkaQX6FeJ3rDhj6sv2LYOGbdJ0LVqORVv8yaVbBj1h7YllRhiThDFRlBBHCckySk+jmDiKSOKYNE5IYpGtThWj8MS6XXVZc6ovVFM+3KrwJAhwFlP8JMBPQrw8w/F96itd6ist6t2qN07GK23qnaZ6TAoJf1xN5k/p8YDkHGAv4/Q8eC/Hpl/Df+4G/vM3qD9/E+/qJcWqz3bfJXv76/D+h+hHuZLcL7yMfK2gvNZAv/IiZvsqRusqemOLFIcPd8WvPuTdRxH3DxNVyHe+yXlUd3WaNYN2zVBgfatm0KrpNCR61WOy74cB8+V3ezAMFbP+vSVgL2x7eaWrXZeX1uungP3KOc/jH3Wr7FJEmj9nHlcy/fMkU57Ym02H9YZN7SdcLPDDzmHG04yhdAXYZwzGKcNhwOMPhtz9cMreKENuN2KNJ67TQiqwkohmGNJNM9bygr6Wsd4OuXh9xuNFk7eP13mS1tV8w0tiOvMRdjqmqEXYr6zyxX//eX759csKjBeP8k8D4gcfjpg8nqnciczletfrrPZlXh9hpyGOqHxkAU4mgNHZgZoaArZ7ShExPhnrHonpquzLJ9ryVqqA4WGkQO9wcE6RyNDwV2sKtG8IcC99/Wzstp1PPcbV9TyZV/ZBiyHl7JhyfEg5lfEIJXG3mEMiCQ4NTboQC0qXIrUpY5nvGhS5RE11cR6KY404Fb92g7QwhBuL5rtkaUkWSEanUs7yWjZeR7qD17bxmhZO3Vou0oTZcBI/1hVp5Pxjkj/LKMXWRZTew5JxoHNY1DnKPI5Sh0FiMUhMRole9VSrbinL71ZyXrJia2kFLRu6vkG3YbDSMllZsdU1w8xy9DTHSHK0JcBdiO1DlDIqhjzRH/HYfMK2+4Rdd5fYqOaNK+EKm7NNNucbXJhu0J+uQqpXighLqfPSMZT1XOkaikyTSzc0clNTMTMVmZxA0wmQLsUIGlLaIev3oEDFSOW2NNKs+nxZUVnPiHS6rNNdJdEPblni5AVOlOJECbYU2UcZdpRhZhlmIWvgQlbrWK6O3bTwuq46plpbLbqX27SEgb/hqwKCZBQzP45YDCOCYcx8mBBOYhbSx4lihcdZSSz3W1F1EKKToasYqxyf5JAgXnZZUiZLksu6FnPVK3h2xeS5DZ/uWlOty9NRRDKICI8WLAYhcSKS+JmKAi7P9ZLY0YiFaNV1qa/VaV9qsXqlQ9mv8+0gV8X21zouN9oeG65OfbGgmAQU4znFeEE+DcjFxnQWUcxCBaRLzlS6FI4XS3UFmU8UYrkoGdRCupwPJ7r1su4WOfZCHROhFRJ7CXE9I6knxH5K7MVEXkLkxERWRGiGRGbIQg8ICZTlqtjuyLmu4me8ZdmGg2t6OKaLY7i4y6i6KdveU/tPtuXvCkVQSkgL6WIVsRyLZcS5fXEWV+SzeUAkhZ1hRByFRGFIFEXESUSSSp41I5c8/bLY4uTSVp6MT65zS5D/9Aknc6JPaefzpGq4zItKQaicL3LuoNXwvCZdv0u/2WWjs8ql/hqb3T4Nu0XDadGwmzSX47rVUIUx/06D8/JP/lf/1X/F3/t7f49bt2596nNeeOEF/rP/7D/jP/lP/pOf2srin8b2OTj/efu8/XBNALp3F3d5c3pLgfXTfEHD8Hm98Rxfab7Iy/4N7M9YVfXT1iQx8Oa/fpff/61vcu/OPjPfJr78LPXLL3BxpcvL6yZvvvk/MDh6h7/11V/j1YFJ8eAArd9m9+Uv8p3gAm/fmbHr/Sta4f/AM9vbSt6909ngmZUXWe9cxqjXKWo13jOH/CG7HDoZVztX+fOrr/NM6xq6ZSlg7a0PFvz+g/d4zFvsGG+TEND3uvzCxut8deN1XujeZJqE/Hff+t/542+/z80HA774+JimLMKyazy2fgFn5UUutXQmwZhHecrNr7b4hVcb9P7gMQe/95iHgxkPFnPupRF3DJOx7VO73ObKFy5w8XIPR8CHpUf8WRVsodj7iXgdKb+jhCSUmBJLDNMqiZLkatInfkmpsP2L82xs+c9JIu7Mw1EYHWoSJdWtyoNKtkW6WoAeTcn6yJrZMTQkDylYp7B5KvsnkQwqKZySzAZtJaW8GZFftlkxa7RLn5bm0dA8BRhbqU20MAhCWRRVMkWeSCbLvyGQsJBd4hI9Fb+wHCvJcMIFuVgHJMeE3pyZHzAypxznY47DAcP5gEE4IksSSplNi2VladItmqxkDa4lfbaSLhtRm27QwMHGtG30rSbGF/poP9eBmz6ZmROUC+LjEdn9Y7gvcch0b8hQi5nadaLGCrrVx03WyUqdORH3a/e5X7/DXuMBE3+g/IUqvyH5fBZmIR6sDt1ig262SSddp52v0cnWaGW9igmvPCeF5aj+qyaGFZhfMc2VbLyAcrLgFABZJOlTQ2g+1Ukkk0KtAv5LQxjsJaX4KopCga5hicekvfQ9Em9mS8MWGbil/5okVeU3lSpoxzDwxPfbNfA9Q7FfarYkTUUiWhYhZ2qaZ5PUM3XN7znm6f0y75LEbb0N9Y6G433KwpwS0RmYMWXOdBlnzOI54TQlnuRkEx1zXKvA+6mPGbhVFTcmurDqW2KNUGK1wW0aeG0Tv+XgOzXFYLcSneSDR0R/eJv4jfuk+2PlIVU4JmldY3qtZPy8xuS5nOimpqTY/B2Nxn2L3hsNnGOTeF1jcrkkbWVKvSFZlOzeL9i5A7OhRbfbQvtqneGfSwmSBXvDfXaTJ0yTXSwSLtRbXHE36Gc96mkbv2xAqRMVCcN0TDSJyXZBD23a2ib1vWs4Rx3imsb+9SG7lx8QGDsE2TaD4IBxMCRNIyXh3fY9bq5f5Lm1da7Um3hiNTHXOGpZHHU8omSFneEKUaErebnLsQD1Nua0KtTRn9iUdyzCx5pSIzSFge+KpFlCmUkld8Fqs2CjU7DRL9m8atO+6WNcacFmg8ODmHvvTbnz3kTFxbQC67du1rnxcsWsv/xM/XuC9bJovv0g4M0PA+4eyIJGPOdQEmMb/pjnOk+44uxQz48pREZRlBpMKGpVImGge7wbrvDurMNu4Clm3TOtAS92D7neHGHKOSPKjZKY35XjKiE71MgHBsW4QRo2iBKT0PCJ7ZZSfVlME4L9gmJgYC9s/MjBTW1V7FNqmWIpLMqAeRkR5In6Lq1CPBKlEEnj+V7OzUs2ndUahvjTNxzKpk3RdCjqDkXTJqvbpK7BQotZzGcEizmpZMa9Gprjk8cm0TghlsTCOCaep2qxJ64Wsao2LwmlvsIsicucxVwUUOZEEudz0tmCVKIs9oUNrhRvdUpPvJ/Fi7aO3arjtRs0Vxq0PAdHkqqLDGMeY8xTTGFmZZIgEYsJHcMVmUmNsNBZZJKULSsG0bxgMRN1lsrXTskMSqGRnlNaCZqVotcKak2TnoBslsv1xOX5I4/13FfXKgXY3/AVu752w8e7/NkAe5U8XZQEcQXgSgxisbktCZOSICpZyGOxyIpW20FSKvXlT2sCMp0H8hVTVpwxzq1ehaVcjDOyvZhsPyHflyhsoKWPX9vEWHcw1hyMdVtFzZb029l19aQJKHSxp7PVN7jU12nXvzcQqpbRkxnsVez6UqIwqoUlqQWUzZJSWA3CsC/mKlkoisRh2GY2aDPebRIuuiRZh8aVOq3rPs1rHq3rNbyeHOPnLv7Vhz1ljzx94V/OPWqVp7j2A/h0C7i4e5BVLPsTtv1+fgqoCtYsfvaOpSmmsICNHy/AEJD1PDu4czquWMTShVH8g6zpBcSTwoETwP7guFCg/f7h2XuTl1sRRY5zgP3aEsCviyLPZ2ylZOWPRwqEP2XEHwp9d6mW02rAWg9ttS9VArDaQxOmzHd7PZlTDrcp9m5T7H1AMXhUFTy2N9A3nsPYeB6tf1UBlvJcYZ/fH824P5ryQOJ4qqTyv5u/vcwRKrBeV7GaV1SKNufH5wH9ym/y5O+qbXmdcRQrFvzopOhAiiEMg1WRXpVzzsyVtDkEpMWURTbiMBgSiTS3KBnNVjBmG9jzC+SjPnoqtj8GPS9j09HomSZdw6JmQM0ocLUST+wtZNaxVMk4UdGQ47vyRz1Ry6hUhk6UNz6+T3d0nJapksV2y8RpWdht2V6OWxaObLesqrj0T6kVoVyPQtL9UMV4N2S8EzHaT5kkGjNh4knBmTxXQPW2rbrWstFk3BS1BGFma6dy/apmVmEP1T30RBW2enypzLS8JAhesQgE+K7UKz4OWordResErG9W4H2rfgbky3kr0a999nNWFU6NA4aPHzPe3me0N2B8PGMaOUzSOhP6TIsOs7yuWNuVjPvTdgEnxQRC/Dxf6CM2B+f+JcVuc/USOxdwZAnejyOKaYJT5lh5ilWKZPyUKNgnjo+Rf7b27Br+8xcoTFE6qazGBBCpotRDC0BfRfkOpU5aogAEIRX4UQEIlWJaqhlkogagi7/9mSy9IRZjRaGsLaTbZVHJri69iOUea5qVP7FICBumoaJpLYsGJNoSLRXleSfrguMg41BkjNPKfk2+rGYZU08XeOEMZzbCHA/QDvcxF1N1np00x3M/FcB3Wy3Meot6p8HKqq+KJH/U+dciignuPmR++w6LW3cI7tynSFJ026J28xr+CzcrsP7GFQiOyb/9dcp33kPbHipVksKLyPsJ+QUDbaWN0RGg/gpG8wp666qyOBFf4UkgPWcmMcyZLHIlhz9V4yqq7SCvbqfnmnzixscA+xMw/+aGw0tbLqYk+D/DubA7TRRQfwLYy7Y0AchFAv/l9YpZf7H1SbBUFcClhfK8n8c50zhjJjE6iwLCnz4e5cyWz/l+if2Wa7LZtNX7OAHsN5qOGndrfzK1oZ+mFo5C3v9fH/H2v3jCo+0Zg7rFtO+yk2YMducIcmmKnZzhYQkzOUtozYe48ZDUCfCf6/DFv/ASf/6Xn+G5m30lkZ2GZ0C86ueBeEunc71N/3qdjdWMrh1QC0dwPDibl7VEeayJ1mkpBUU6y95qVp7eP2TLYlHcCpjtLRQzfb43r8bLbZE9P2mGYyiw/mnwvkZjo67G4iX98WNR/l5Y7/Kaix2RmT9itjNSsvPzw5B0nlAWSaUIYKU02ymNVka9keM3NGoNG893lP2jadnKyg9NLAhdBZ4ni4x4LkSGlHiakgrJZSmfbTUcpRDgdFzcjoe74uF2XDSxXZPqG1kQyL1ESdsvu4xlftaog6hW1n2Ve/tuTT7jdJFxtBdxsBNwuB8qK6/jQcLxKGU4yxkuckVkkbW4kglX+vBL1rrk60zJ4VV5IMta5n9kn4xtAZ8DAmPMjCGT8phpcUxppCqP0fO7bLbWudi9oGwcpah3HmaqB2HBIsxZhIUaB1Gh1laifld5kj8dlTKDnWPbGaadYS2jaScYZqKUQJv2CnVzhZrextJ8VaCfpDKvF6sgUbMqiWKxxyoI5ynhVOTzRVkhVXL7RSKEIZmkKWv0imhyvmh0OUc5eUfFp7xPvcyrXlRRsdVFEVVsJQ353kSuXgozDTzpvqlUbu4fZeyEhioM14uMdjihny7Y8kqubXpsPr/O+vMb9C938EQpQFjfqohlzuDxmNH2VI3j46BSYJB85g/QBOAVvo4qllBqTSWGKKTKfMSQXqgoaoGuXhDXJtxZfcj99i6BExHbMYGdEEght0i+q9fTKZQKqOSILRyxdTUbOGaDmup1fLtJ3RImuYDHDZqugMdN2p70Do5lkmkpeZmQC8GoTMiQGJOIeqjqCUkeE2YhcR5VPatidBqXj53bPoGLDd1URbqGZqFJ4kfISFJ8kOlKLTLPdIpUV6SvqkMSC/6gxIHU3yg7ztzASg28xKCJTQ1T4QmWvL6lqyJgOZ8sw1LzIrGKkUJKyaVKobKMZf7kSJQcujzHMCuliJPjUdlRVPPhyf4xR9t7HB0cVRlOY8HIjxjYAVMvJPBiUjfBEpsSx1QFWKq7Yh2iUbP8U9BeAHwB7rMg5//2n/8dwjd/xsH50WjEr//6r/NHf/RHavu7/fMnJ/cv/MIv8Fu/9Vu025X30Ofte7fPwfnP2+ftR9fk+nQnfMI3Z7d4Y/o+e8mx8qF+rf6MAuq/WH+OmuHys/i5PnrrAV//rW/y1h/f5rAMCK72aV/7RdYaN8lnU44P3uCFqyZ/+2tfxv3GR+S3nqC1feKf/wLvWtf51ttwK36fRytfZ3flDXJvynqjxV9c/zP8lf5f5Jq/JWLc/HFwj382f4vtdMhNe43/oPEqX3SvqGv8cFzw7q2UYwE8mvc58t7iW4NvM4zGtOwGX1l7lVf7L/KF3vMM44j/5hu/w+Ab7/PqwzE3dkZkcZ0n+uvMGz/PJWEGZPs8GI0IL63wc19b55XDMeXvb1MMF6TJgofRhO/4Dm/aHR4IYGGiFiFmU+S6LBzbwXZsbNvCdkzlKW8LeGqCZ1RMDpksVBLiFTtb2YDLwkiATZGqlwIPkWvUTEpD/MMtdM3ELnVqJdQLaJLjlQW1ssCVhI38KNVsQlV6J8JKt0tSsyC1q56JNP0S/FcAb25iiCS6Wr5UrTCE/WmQRS65sJ1THa+QfytXMo5JtmBU7jHS9xiWu0yKYybFiFk+Zp4EBCJtdpLZU9JOksCzqTk2NdemZdS5sFhla7jGlcEqq2FDJYyKMsNcVH+W2QWjKzHDGwnjGwlRN8Wea+iDnHCwYDEKiaSidRAyzSMWkqSy1mjpl1jPrlIvVphaUw6dAdveHsfugKkzIXCmilGslyZGaVHPO3TyVbp6j3VzhecOQ67ff0xj+z6x22PWvM5R4wKPOk2GTqAUFub+iKgzIzcy9fvpIqU+EGaugzd38SKHWmJhShmxk5I0I8J6TOQnhF5C4IlcHrR0j67RoK01WNFarOht2rRwSk9VykqVcpiJf1TKQip245x4udiRhLWNhYOw0GSSK5NNKcAQ+bGTM1Q8tpRNHGUuIK1GKdqfav1wtvg5+d3Ps+/PqkbPs+pPQB1RLljaIzgFTkv8xgpqrZJap8Rvozy0xN/eEj/JpZyaVEHLWBL9RVlwHA04jPc5To8ZhmMW05hkVqAHNsbCxZ772PMaZnx2bUydkLA5JWrMSGpzYi8g8RYk2pR8ssC7F7HyQUFv36Q/rVMrhHloMN3SGdzQGN4oSa65XDvucfW9OrW3CrI4ZfjcnMWrEWUrx4ss0rnG3sOc+++n3L+bEtQMjJd9tK/Uaa64HBUDjqJHzOePwYiptWwuisWG1mclb+KlTbyspRYcUoBzMD3kcHHMYpBTf3CRzZ1nKU2dvauHHFwPld9mUyprpcKZQ/bCQwbBhEU0wcjnrHolV1o1LjSbNB0b3ZRqao1ypkPY5Mjsct/sM7M8lbj1dZ1FFOGNNG6+0aHxnRrZ0FCKqbUe6HXxN86ZjTPCWaZ8wRpOztW1nOtbGpe/VMd7poW+1YKaycGT8BSov/velGBWgfUC0F9/qQLrrzzbUHLpn9bCOOPO4wXvPUi4s2cwTSQJLQUkBd16wQtrOa+1Uy7kAfp4CqOZkqlXKAGw7/t8s9bim7rLtlYtsF9bq/Glvs2zLUmohET5PlG2TxQ8II63KaMFztShMejhxE00z0e/cgN361UM01e/S7BIGB9G3P/Ogr3bEdO7EcbjBF2SrYX4LheMjQT5VZI4oshzxVSRhX/DMWhZOi0D2pS0tRJfimpOzhtJ/HsGet2U3BGlmSPUAqNhYveaeBttnLW28l3UzFJJJIo9yAmDo5RzfRYTDgOiQUC6SNGKEtM1VVJM7AePJnMOR2MOJjMORlN2h1MOp3NGYUAmyIDI34ldim2QuSa5MCuX+TthmVRAjIAHAvKLfYUkiIyq8Es8by1DJa5U1CzQXPTSQcsttMykSAyKsCQNpChE/P/OkBtdz7Dtkrql0dZ0VhODnm7Tt222LrS5/lKPrS+s4d+o413x0X9EgJeA+gLeh0sgX4H78Rm4r0D85fZJQv3knnh6/TuroaokBEepAusFtK8AeylyWSYZuhbWhqO6ueFgr9vqs8i/+eS4YLYEg+qexlZfV0D9pc8K2Cugd6jAegXY7x7AcFT53jFf9pmKRbmoAEm55iceeVAjDzyK2Ie8pmQITWHpLLvIVX6m5gq451dAvbC6pcu2Glf71WPC7P5uycpZuZTFr7zsBbw6Zb6fA90FWJO50Z9mExl0BdoLWH9UKEUA2T4eFqd1DFIMUIH2OittQzG1hYHtCkAcTHBnI9zJAHd0hDs5xi6yCi/stisQfq1XdQHiRaL1+zTxpy72P6zA+L0PlJc8ojKydhNj83kFymu1z57PEF/Gx5M5e7OgstdRwGHxfcdVrLaFCfz9xi3HPpWgr7pP27VPj3ElIzvLiAYpx9sxd+8m3BVm/EHKk6kwjDOV+DOMYwp3n7i2w9x/RG7HCriQl7EwaRV12jRol3U6ZZOO1qi6Xo1lPaV8LoUNJNc046RX9i2SCFdRO9suJKE8TonHGYkqIhRLkJQ8+hgaLee8ZyyB/AqsV+O29fS2AvMroN/8PvYw6hp8HJPuBQqAz/ZDUol7Ifn4HBjStjE3PKx1T0U13pACGo10JyTdDch2AhXTbVEiqwpCNJkbrnlYF2qYF2pYm8vxuqekaj9rU6B5UFkGiNKFRGGri6WARDWWOK8Kqp76zgzBNioVAwXcNyoQ37Y19Xfj2YmCRgWin3N2UL+7XG5aTkBTH9MsD2lluzSNMS0notVv0rm4RvPCFsbq1e95bsj8Wd7j0yodTysWSMwyUSgrSOOCPBYQrgLvi2lMOQ/QggVaGGIbMa4tPtYpfi3B91O8RonbBLcOTkPWJgaGZWIYyyggumWqwurz2yePi3T/uCh5nBU8iFPuLEIeB5EqwF5r1HhlbaXq610u/JDgt5y/h/OU7WHG9ihjd5SxP8k4HOcM5gLaC5uvWkd4ihWZYyYZmqgQRClFJECLFJkXqjBOmH1nrcDWImpWhu/k1MU+qL4svmpZdDoWKytiq+NR7/jUmnW8po9br6nPVMr8LxhTzoeUiwHlYkQ5H1CK2lGzr66H+uoNVaARPnhSgfW377L44C75IlDF6961y/jP38R/7jq1KxfQbn+b8q234MkhZRqQ1wLyXk6xLgeZMHEb6LYoFJmVLK1MmDSZEy3tB7QK9KisCOQx2WeyyCymia36LDGZxhaT2KzGkc4kNpjHOqNQZ5bY1GsuX77h8fPP1HjlsqfWb5+1iaXVrYMF7+7PeX9/wb1BqPIHApZfX/GUjPAsypjGFev9VEL7XJPCK5nDSm+65nIsCg7LuNxuuAZNicvniTTx3jRhbxaruDuNT7eHQXaOWamdgvUbJ7F5ti3A3s9Kk+ve0a0Bd/75Ax7+m22yOGf1iz2c11d4mC34g3/+DoPbB/h9jxe/9hx/8S+/yovPrSuZcQXEfzhk8FEFyH8ciO8926F31affjGlkE9jZh6PjKiHUrKOJdcPWJmyuV6D8iU/KT6gli1QB9bO9+RK8X5wD7xfkovy4bHbDVmC903IIj0MFymfh2TEiaxl/raaeo0B+1WvLfT5OU6qVJ5ThQPUiGJyNwyFlWBWvqib2eP46eusSeuNSFZuXSBKfyaMZowdTxg8najx+MFGF0dJEmaB5sU7rSlPJ4revtFRsXqj/2BSo5HiaBTnH44y5APV5BWjLvUkKvdRYohR9qX3F6VgB3zJW29U4TnJG4ZTRYsoklCK2RVWIL4UjZophJehWrAB1w4rR7XNjS+LJOMZ2ciwrx7El3ydS+XpFNFkqHJQJaIlOGYtcecixfkCKXPjFR9yiHfVoL3q05z1a8xVasx7NsKuMC9VnV3lO6ZqyqpEohWuxyMgnwoSPFXEpy3M1N5NiBMfV8WqmkrX36zb1pk2j7dLsejS6Hn6vjt/zqYvX/Wodt+lgfEZVD1kv3n045w9+d5dvf3vAnZ2E+UIsHGKa8xHt+YiVaMoqUiTSoLPVZ+3ZNdZf2mTleofmxYY6fuRYWRwu2LlzxN6dAVGUykUQTSoE5L3YUgBfRVU1oOaz3/2aX93/So6TbT5cvMlH8zc5SB6r3N9V6zqtvEEttailJrXYoJ7oNGKdZqLTkpjqmJIkWBZkynJ1jqGKOSeFftrnmNV+jNNx8Sm2h9/tPaoiQVUguCzwVeOqeFBZQxUFxixEmwaU0wXlfKHsRGPbJtANQvGUrzmUkhhffh/yd826Q6Pu0lDRodlwaJ7frjvUl7HZcKl5f7p2ZXmYMr87Zn5nyOLOiNlHA6YPxkRRppSSJnWNJ7WQR9aMYSNm2kjwOyXtnka9W1JrFFh+RmlFHE32+Z/+2T9i9P/+GQbn5Z/62te+xte//nW1LZr/f+2v/TV+7ud+jvX1dfW4yNy/8cYbClg+Pj5WP9gv/uIv8m//7b/903qb/86A8//gH/wDLly4oMafg/Oft8/bD9fk+rSTHPHN6fu8MXufe+GO8gJ60b/GVxov8nrjBTpW4wd6TZF3Obm2ybXRdf/0gf7j3SFf/2dv8nv/8g2eTA6YXzVYefl1+s5XGG2L9F/OL35pg1/a1Lnw4XuUb91H82z0P/MC25ee5/6uxQf3Qt6cvsvD+hsMVt6irM25VO/zH176Jf7ixi+x5W7ydvyE35p9h4+SfTbNtgLpf6F2U3kmPdnNufVhpghKN67oFN1HvHH4bd7Yf4sn8131Pi/VN3ml/wJfWHlOLab/xR/8HvU37/H6vTG+yJqV1znwfp7mynNc0feZ7X/EbgErP/8sP9/3ab65R3kwo0gj8nTKqGOy98wNHrZvMq71cFcKujdD2jdijHqG5C9Uz5ZRpLFkHCvlRDp7OfXRlCw4JszGTLWAqREzNVLlUaUZInNeYpQCKJeI6LItlYGagaNbWIaNY9m4jotT83AbNVzfw7VEWkhkhxxMSTKoSYtIlFcVqML2Vh7kRa5YgTLRDucFR8cpx6MRo3RIUIwIOCIpD1lkh4zjIybJiERKB5Q/eamKjRuGQxMBunWaukPDdFUhXHulR7vXw2+2qWVNGvs16vdNnEcZ2jQjF22meaq8suS1sgbkbVi0Yvb9McfRiONozFEx5tBaqD41o8ojWGuxUV6jb15S0s6JUTC0JhzbA47sY2aC8gsnRhM5S0+B8J7WoGG06Oor9Moe3UWb8jgjeHCL5s53WJ/exSZkv2Vx+4pYEkRcHc+pR5kCwnZWHR52XB43ahxqDsZcx5SCAWG6NGSCaZB5OmlNVzH3TQpXZEZlEl4xz2qpofpiNCMyc/SGQ2RVPvTnm56UmHEhtvfUcgvRD2hqDh3dp2v6tAxf/fZS6SHyZJEmx5hDEtlksatYM6ZVqgpSp3BwcmGgmWfMdj0mNEIWqgI7YGGGBNqCXBfAaulDv6xSVmzSJUiqqpaLEi/28YMmtYVPbVbHD+q4AgIJG60sWGhTJvohYxF3Lw4YZrtM0kOyJKaIhE3uYBU1zKyOkfuY0jOJdQX6ihS7qs62UsQut1NzaTsebdujafjUiya1tIEphmBKbUCs3gPCxoSwNWZRHxF6Q4jHtHYC1rYt1p/UqE8sCkPn8JmSnWcK9jo5Vx+u8/L7F+kdOmSGzuQZyL42R780xQxishmMjzPuvZ9w9zsZe4c5+SUD+xd7eNfaTP0xs/Ax0/ABkTWn8Ap8x2PVa3LDXeWCvkkn38QO2piBaMhBGETMPoLivTZxkPOw/xG3rrzNdncHQ3NpmB2aTpOG5+G4DoXTItUbpMkUL9ulrU0QUkLdNug7Hg29Yn+nScEsFJ88m52yzq7eZmh3sVyHq+Mar7+5iv8Nl3gsx0ZJbx38NVjoMJjkDPYTgomIBRZcWsm5drHk+isevVea6FfbaJ3q3rL3KFAS+CdgvUjLi13F5WcaCqi/+XJLsew/DaxXia5RxnsPAt59mLMzMpTMnG6UKoF7pZfx2nWd5zY9apFktwSsP+kzdqKMbxoub5g1Dkxb+XB+se3y8oU2z4vliCUM0py4OCac3SUa3SYdb2NONJygTimM9JWC8uI6TusqrrGuuqU3zhInj0O2//U+03emjPfgeFEwFxlF3VHMl1Sq/oWRIWonaa5k56VgRa6HUoUtVdmWVOwvlUyEP6LnhZLF1ATgF3RSlk2nDIEzGwolYC9sULGQkEp6rUBTFfXyj0hxlXSRuywxPR3bN7B8A9PRMYQN7sj5UzLTJGE6Z3wwRtufIpdtKfYau00GXodJs0NQa9DuOKytuaxuOPRbBnUto5an2IEUQEXMBxHBOEbSv+IfFzs6accibVsETYN7Rs52Wam+1JMSP0xJRwvmwwWjQcBkmJDOSwrx4kt05YEox6pEWbgL89U3NNp1k96Kx8alBlvPdrjx6irrFxpV9bvICJ8SKZaFBCcqNSd+dEVRectLzGRcyYkrdQG5x0ghnfKfr9gq0i0B0HxbSRMLC1GieY59KGCJMA8VaKIk/5YgY1Ey2U6UHP7x3VBJ4w8fxBSSZdKgfcmhc9nBbujkps400ximMAg1DiOYiySkreG3DC5tmmytGVxaXQL238dDWiQ22T+qJhEnlSCSyBGZ5cUx5eKAYrZPOT8gnxySR5li2EeLJrNBi8WkxWjeJPCaFKtibwF5qyRxhSEYMpkFBGGMq2v4hhT6gK+V1MqSWpFTyzN86UtJZumufDcnfuanIP4SuJeoAP1lF+/QH2MS5UcxH5aiiCxIODpI2D9IODgQefyMw0HJcJQTLVJ1HVC03BNGm/jvivy8+LnbFm7DVmo2wixWQL5bqTW4J9u2MHZjXAIcFrjMcPMJ9cVd6os7mHKetzcUM17ffL7yjv8UScSflibnRDRMiY4TokFCuIyyHRwnHB5mPBlpHOQmR5rFVDlxyj2s5EK9YKuncXXT4NIli1rfxl2xleKD05WEYaTk8o+CMUfBSMXjYHI6HoTTp2QrPMulV2vRr7Xp1zoqyvbqcizdMT+9mOTjTcCGZJpVoP1EQPtUbSfjrBpPTmKq9glQ+fFWsfItda0Wkp74qRpZJWOrhym6qJlIvtbSsGo6toDnG7UKgF+XcQXEi9frZ/495Do5S0l3ArLdUMWTXkyXchXyb655FWCvQPsleC+g/Q9ZLCXMOQXYKwB/CegrAL8Cx2V7OM7Y3z+m5uY8c3ODlY5VAbcn7PdzDPiPs4zVdX92SClS+Mcih/9AySdL0/xOJYEvUvitdRBpfK+F9hl/cyXpLXL5S3n8E0uBCsTPOT7OOD7KmU1zslT8U5fFaRLTQt3X5De2xLpIL5QtQEN9HpN216DTM1lZtehv2vQ2HLp9YVd97+v+NE5492DI2wcD3tofcOd4popuO5bHs+0ON1odrjZbtC1PgeTCYBQlkzhexmQ5Xu6vHqvUTqR/WhZX7qzKeU1UvnQp9KvkvZOyICxE9UsKCiucuunrdOsGXa+kZabYWaxYsIkU48xSFvNCWRDMQ50gER9qKcBQUheqMFGuhb6xoGnOaVlzul5A153TtEOaTkjTjal7qHWuIcx8S3y1Kx9upSKyemMJ1l9XhUzRk90KqBfA/oO7pMOxeq67dUEB9b6A9kWM/uEtyp09ynRO7s/JWiHluo8m13P14WQdXinWqXvtkl2rwBPFdK2Ke2SteTKVk/WsWm8rWQ6ZG50BkvI9P543+ebxZb45vMZe2KLmebz+bIevPlvn1SsujoA3P0ALklyB9cKsfzyO8CxdAeoCtNfFImEZTwB32e+aP7js/ve7t8ZZwf7sBLCPz40TNZZCEPV7Se7et05Be2HfnzDur3VFUeCnF7gX1u/D393mzv/6gKP3Bwp4vv4XLqsuj1WM+O8OxK8802Hlco22Pkfb3aN8sgtHS2Z8s4EmQPwSkNeEJf8z1OS6KaC38oQ/Ae33A+JJTK3vUV+C7mfg+1nh3p/430wXFLM9itkTiskTiuk2xfQxZSZqJ6BZPnrzInpz66kYz0vGDwWwnyqw/mQs7/UUtL/UoLXVUEUGlmdieubHooFVsz71saqY8CenHBGkAXeObvPGN99QwPjrX/gyVmqRzQvyqRR+Z+SzknSSkU1z0nGu5i/JJFEqdHIsf7zJZxIrA+ly3Nt1C8PRmdsTBtYBx4b0PY7Y54g9IgJ1bZQc5Jqzwaa3xWbtIhfrV7jQuMxm8yKu4yklIgHTVZfvbVlU+ZNoorL1cDfivbsL3rk14Z1bUybDkGwR01yMqI8Oac+GNGZjbF0Y0T6OV6O13qX/zBr9Z/q0tprqWHfFVqHrqm4uLSw+E+lteIs3dr/ON3Z/n/35Dp5V44vrP8/Pbf4Sr659hZpV+/6vI4nwRXDW5xIXaizFhdW+BcVcfNWr9fCJklJarxNsbhCsbzDv9lRxl6gCScG/KOhJMe7JWNknSEH8LOL4yYThzpzJUcBUcgcT8XQXsplFolnEtktqOhU5rCjU/bGyXhKQX8Op2Ti+Q61eRdl2GxIdVaghzHPJA1QWTJJ7rcgQSuhiWWGvXkcph2rqPnqimnCy7diVAoVsS3TPbavnmVWU1/6Bj50oY3F3xPzOiPlHQ2YfDQkeTypLhCxn0bQYeBrbWsq2njOvy/Fu0G1b/P3/7v9JcPz7P7vg/D/8h/+Qv/k3/6Y6cf/G3/gb/MZv/AaNxqeDWfP5nL/9t/82f//v/331fAGa//pf/+t/Wm/13wlwXr67kwPlc3D+8/Z5+9G243TMN6e3FFB/e/FAzc9vepf4cvMFBdZvOL3v+xphGPLbv/3bavwX/sJfwPM8flItCmK++Tvv8C//ye/xwYP7zPsxnS9v4eZXKSaXWO0/z/pql+fbC75wcIuVO3eq6rqvPof5tZcIDI8HDwreuDfgd3fe5oH+DsPGbYxayFZtg1/b+EX+g+tfITZ1/tnsO3w7ekTX8Pm1+iv8qv88RmHy0d3Ko1Juwi89Z7G5rjOOJ7xzfFv1t49vsR8cKebv9dZlnl95hmlQcvT1D3nmO0dc2Z+SpXV2rC9T9L7CZV/D3/4jFoNtZv0LPPfCDS6NS9ieUaYxeSqstYC4Wed46xr3V55l0l1jZcPg2rNw5Sb4jc+wqBFv1e2A+OGcfG9BOh0xig6ZmikTM2FmJkz0mKkWMtdigmLBIl8Q5HMCFRdLWfWnmzCYfUPYRDVquo9vNvD0Gr5RJypijuIBR9mQYTokLOfYFHhZhpumdKnRLTy6uk+ndGmlJu1ZSSc01P6W08C+uIa1tYa5JXEd40JPVdhmHw7I3jogf+uA8jCgFBaPeCoVBbGWMrbm7NUnPOwMuNsdcujNOfJC4sqQWWZZSvlg0+tzyb5Kn0tM4oLt6JhH+iMOrH1y8dVWX6CFn65iZyvY4gUukqyFMPHFfz4hOJoQDWLCeE7CHKcY83I64otZyIqRsWiZ3HqpyQdfaTHZrNPAo5M06CR1NocmG0/mtHePqO/sCfWG2DXYvbzC/WsdHl3tMOs1FNu0rrusW23W7TZrZotVs8mq0WTVbNA16oo1/vHzVRIc8yJiJzhmNxiyHw85jCccSfFHumCYRUyLhAVpZYOWL9kpmY4VuthhDTesY0cydrEjB0M0spbs2JyATAvQFcNHPJgNfNumZrn4Vl15QC05ooT5jDCfqhhJLKakeaDAb1ngyQRYwC7xfwpmc+I4Ur5jZeqiZ3W8dB03W6NWrOEUK1hZmzJ1lESV+MalApAJxC9Ao1GimeJ3pWH6BXa9xKhVHp3BvCRaiMdbVT18vgkL3/HAFczHM2jaFk3TomFY1DULvzQwUhS4YdsFlpFjGDPy8og42CYp72NMB3R2HbRSZ7wF288W7Ds53VsNXrp1kW7YIrF8xltN/P8gp/fcgiIaKA/w2Tjm0ZOAD9+NuPtWStS10b/SR3u5Te5ERPkxIbtMnH2CciR14aowQzyAt5x1LhtXWM2v0kk2qCU25SOH/K0a6bFO3Jmz//Jd3tv4kL1gziRYEGVD9Roi+17oOanIv4u/m5ZTM3NyW7mX0sihnleVzLYlzBRTnfuy8ApE1jKTimmHRV7j2ug6Lz+6Sfv+Bk6q09yc0FtfqEKCKF/lINQ42EsYPIkVkNx2c65eKLnxrMnlr7ZwbrTRJIFpiO9cWYH1S6D+3vtnYL2w6QWov/5ik80rNSUn92lJ/Ps7Kd+6E3Nnv2CaiMWEYFw5q42YFy5mvHbVptduYZmO6OUroL4cTnh8POObo5hvRyUHwm7SNG7UTF5c8Xlpa4UrG+1TCcIinBM/+jbpzgeU81DZSASdObP1gFzYjXYH19g4BeulG4lP8OEOu29/hF1odPs97PU2xlqLYqVJIBXnUc7O9ozHjyfsPp6w93jMYGfG+HCmmHeicGBYIpFcyc27bR+35bNW07hcLlhNF7iaMPLFHkUnX0o06rqjPq9tiEaGsBZK8qhULL50nhMJGDRLyQIBo6l8ZMXK4mNJITm/6hdMavUMJ5thjo8ptg+UfGViWsz7HY4bbZ7YLR4HjkrUq78TkLljsrpmsdoz6bolK1pOO01pLiJKYXceiPxvytwouVsruSO9XvKooVGYGnXT4KZts+ab2PWCmRNxazDh0f5YAXnFMMcea+gjyKeQLiCNq+O5eg/nF8iV+YgUJ+iqtv+kn+2XqJ+ORe5auBlSlHbu+ad/L4UPKYbYh8hi3NGX0UCTsdyDPrY+V8C9kr4TtmMlJ6wkhkUST2JYw5x66DMXfe4oyU1drE0ysTSR62e16Jd3LDYcWV71WBcPSAHspdDCpNk16fZs+qsWa+uWAnTsuoHt6zh+FRsbtirIUOdQIn7cC6aTBZOp9Lkaz6YzyvEe5nwPLzqmno9oFjM0VbQAh3Ob7ZHNwcxluGgRm32aqy3aG3UKMycmVRZNYRyzCCLleXzalJ9CrmSCpehEimIUmG/o1JaAvi/KPhrVY2YF5It6Tq9dZ71dVyzRym/n6aid31bmyB9/zsf+zjgbR2nK1//N72LkBb/w+us4cgyJXHUiiNUyLrdLFc/vkwrKRH2m79rkPfdXyPs94k6PqNUj8ttEmabOnSDMiWYB4SwkmoeEi4hwkRIFKWGUEcnjChATZRyTVKSXTpqoVliusr9odmt0Og7tVgVUdj4WpQuY+6fZBGgL9mOC/WgZYxbL7fBQmFrVmSvX77FlMap7DByXw9IiFul7S2ejp3P9sskzz9o896LLSre6bn+vpuYASyl6lSmUsfxTMhb2fpYzDKYcClgfClg/4SiacByOqxiNGSciy6ReTf3fN1x6Vou+3WTFanLVXuM1/zp9o1l9jqX8vSo4zE5i8en7zz2/SAqSIFfXaBWDnHieEx/HJJIETyoGXK5pSsZc5Ei1k+vOklUlxVbCuj9h3lex2hZp/bNtE6vxg8tH53Lf2D0D60/A+1OWviQ5V90KrN+sKbUXTV0Xq2ujRLlePrUtzDBXzt3PDqz9qNeuZTSrfOuPH1Sg/WinukYtm5xXCEhfa1Vgfa2txnjt07Gcf5+1CbtelAREJngRliwEfA4KxsOMwWHKeJAxGeVMpjlzsYgJKvsV8Ug+P60V3Ne0dGqu1DHpNERZoGUob/tUfH7FSzc765J3F7ZlmGXKx36RZWosTRLYvsyJPZOVhkW3blcFQqooSMdxJPksNVJVsZBsnxYQLfv5bXn80+TX5ZwcBDkH84z9WabiwSxjX6JY9SyVZZwiopWPWWHKujZjVZ/QKSY4cSAIElFqEsQu88RlltWZpg2mSZ1x7DGJXcLUVAUC8l1L0V2Zpxj5gjoD1u0DvnR9zhe2Qvp+gKdYoiZ65wKaAPXSe1fBtJVnvYD0Cqy/fYdY1Ghknrnao3HjMq16XamfaJPhko0rhXainiJXM+miVlMVE5RL+7JKWnkpvXyiRHSuy8Kp8vquZiNKXlvmciKj17DR6hpHlsVbyQZ/NL3Eo2QN13H44rUav/DyGl+62cb9AYH6H2f7Yc5XVZS7SBVIL8C9gPb7inFfbQvL/4Rx/0y/puT6X1yr5PqlAPensY0fTRWb/t5vPzoDdS2d7o12BcIvwfj2qoUmNkVPdikfL8F4aa3Gkhl/AS5tfFcwvswyksEYw3XQPVdZDf2sWwb8OJs6/4RdP33ydJ/vn5pN6/7qGWDfuqyi5vXU73gK2j+cqgKLSoZdirKl+C4jDZYWlN+jiUS9AuprZ6D9J8F9UxUBnFnsLEHSU9sdKSSuCh/PiorlElQ8/bxzf39+XxqlPLm3TR4UdFodtVY53wRcPwHapbst+ynwXY3VY7LfVQpAP4g1zTgesT19xPbs4TJWfRKNqu9I01j3L3ChscWlZgXYX2xeVtue+ZPLY59vkj95uBdz616w7AvGo4g8TugR0Jwc4+7t4A+PKWV9ITkYzUFf2taefF+yNrf8qpBDvncp6rB9W+0zfJ391jYfOfe5oz9klmU4eYdL5QuslTfolJdIcoMo1whSmQ+ImoChpPZrvqXAbIn1pqMKggVcPgGm7XOA9CeAaCX7XqKLDdUSuFcg/t4hxd1HRNOAieYyWb3ApLfJpNljuCjYuT9m79GUo8OA4ThhtshRghhLcP+EkGSXJV5R4C8LvT2xoSorXn41fZdcoByIpcoHSjY3yzMyud7FaVXsZgjJSsNuuDgND7vh4cjYd7HqLnbdrZQkl1ZMUjQgc48klYLEyl5B1CbEljVJ5H5+vli/OsdkW/LSZ+NSrZENsUoQBYciQ88ztCyj7umsrLj012qsX2iyebmleqdt026YNESV7hyw/3HAXpj2weMpeVYQZTlxx2bfSPgHv/c7/P7g//OzC87/pb/0l/gX/+Jf8Cu/8iv863/9rz/T3/zqr/6qqvb7tV/7Nf75P//nP/b3+O8SOP/mm2+ytbWlxpKA6nQ6P+F393n7vP272WZZwLfmt3ljeou35x+RlhmXnDUlff+VxgtccTc/dWIkNzJRC5G2tramztOfdJNbwgffusf/8pu/wxtvvMPcjtBeEJ9Km1c3f43LV/4cw5lFLY/4ucltth58oBgGxs89S/0vvIzVq1dea4OY/+2j+/yrR+/waPGQsXcX3cq4aF/kays/x+tXbvJRbYc/Du/i6jb/nv8S/379JbTI4b0PMuUpKj6iN66arK+egRb7i0PeHXzAW0fvK8B+FE+UgsHF5iW0o5SVPxrypQ9C/EXOQLvOtPVV/Is32By9g/bRG4px3rx0k0v+BvZEMibCQk8pkhlFGRJ5LkfrV7nfe5ZZd5W1LYMrX7C48owm1sPf//sTQG2SE47Pazs+FZ4CDhQjXrzlspB5umCezBjFM8bRglE0ZRzPmcRzpvGMWVT1eTwjFRa+0eJiUeOF0OTZSUpfQPjMpCFyvLNF5cUlc6ReW4Hw1sVVjI1VzEYHTXcoH49JHwzJH40od2cUw0D5ZAZGpkByYbXPrYTHjTEfrRzz3toBB90QTaTCLYtVv8dGc4PN7ibr9VXWaqusl+swdLi1+4C3jj7ko/IOO+aOAuNraZtWdJky3IS4Sx7bTMNtxrP3mY3uUCah8oHTWHp1ORZdv8dmrcfLecTVxR6d6YDM1nl47RLb126y6D/DGptYwmMzEo6tMRN7wtSeMjfnlRe8LLzLght7KTceT9h6dERv70iBdkazh3X1ZdxrX8C8/jym+C4KrrDEFoxzYxH02t8/II50fK9PEpmEkqdaQLioYrAQz2dRM5BihmqBIP72kRGReiG5G5JYEakZExAqj/egiAjzRAHglc+qyNoLuC2sSk3J0SvVaRkLzWPZRGq+YZs0bJu66haNJbirElClgLsp8yRmliQs4pR0YZDNpFuKBS8gsPKoFQl7kbO3NdxGiSe5UH+5IBA2sbjKFyZ6bFIT71jLoi6+pCu68rCX7tXBdjUsRxY0BaMwYXc0Z38ScDSOOJ7GjKYpk1nKfF4B+amwciNLdWIBpXUl+W8XJlZpYhUGnimgkUHfhn5tQaN+C8P+JnqyoLnnYmQGUVfn8CWd2HFovN3l4odNrNTl0LW5vzlH+6UFN654rNkmbpqRyvXhKOP2QcB3bk8ZyHvo1Sm2aiRXHWUjkcQT4uEuSXxEqg8IahMKJ1NM8aZZ55p1k4v2VTbHl+nc3kC/76PZBeVrhyRffcysP2E/KDgcmoSDdbLUYmEuCK2A3JCEUEikDymcoVLYWM1qXEW8zUOG8yOm8YSwiEi0nIiMuMiUzHEs3puRSf/xi1x8+Borx5fRnRhu3MNdP6Kf91j1b2KzTviozfDDnHCSYZOztVpw7YrGja/W6b7aRb/UQFtWhqvr9kMB6yfcfXfKvVtTokV1HfNbJr0Nl/6GR3/TpbfuLqOHK17zZamI8m/fS3nnYcLuWFhastgraHkxV3oRr10ruLzq47tyji2ZcFnO0c4x7z0Z8P5xwO24IEJTrN+XfIsX1xq8eLlPe6WhLpZFGJDf/jb5zgOKaE5uRkSdiGBTJ27lZHaunmdoDra2Sjy3MAOfTrSCMTBhIqlWE6PbwFrvYK610OpPM4Klqvz4YM6OgPZPxuw+mbD9eMLO9kTJEYr/rF2z6Wy0uPjiBhdvdrGNDCMJcPIQT5mbSFpYY1IoXi2ZVMw7HpZbq/xLXSkIKjAXIfogQJ+IvCBYnqMUVCzXJhoUTO7FTB/EzJ+In2Nlf+LVC1wjxA7HmKNjHCPCatnoN/qEm13GnS4HpcvBQcbRYcrRUaqAJXW/0aHXs1hdFVlag66v0bVLumZBSxbYs4QPxws+WITcTmPukhEVBVJ3dS3UuBZoNIVRVi/Y7Wbcb8TsOIlcjORbZXWoU98tMcelqsrPc019X/kySV9tS6z2ybZi+J08V2KxjGLncUpvrt7/6YpVqu4tIdoVmHaBbmSYVoHhZBh2jtVUSv6VFKEcaragVijGYMXIz9ViXhbaalyc7VN+kml+1pMcLdLQYx09RIH2Vm6p66HYy+iZdAstXY7zar9ZWljStcoHT4ASKQzQxIOwNWVRHzD3B5T200yXuu/RaNZoNX3Vmy2Jddp1lxU7oMOMejbECQ4pDvfIFgmZgEyTJrNhizx3KApT9VK3MXwXw3fIPZPCM8lEQcE11H00UZddjaAQoCplsQgVmB8EEXNh4s8WLGYBhaBKii1ZYmoaF7sNtroNLnXqbLVrbLV9GgLuyY8pzzt5vgBPFUJzxlb/HnPPRMB25XF/jpm1ZLUr43tBpyyTQjPJRRFDem6QZTpprJOmEjXiUFMFYvFClAdEyjBQ11u3FuPUQmw3xHECLCvEshaYRoChR0o+XfmHKpKlFF3I9bEJXgO91kL3W+iNFkazRdlok1pNEr1OGKEkwYWlK7LbH49h+PQHr/va04B9S6fzsSiJuc/aBPwKDmLCg4TFXqSA99luzEziQUwSSPqskiMVINbqO1hi69B1MFoWI0x2phrbA2HcincmXO5rXO3BlY5Ys5Q4kgQTP+NY7j/nx3KOFJQSo5xC9i8fl/Gn1J3+QC0lZ2QGDM0FA2OhohqrPmfHGitloEtph1eDS7wWbXE96ysVjcqP9kwen/Px3GNVlMLSc/vlOJDCqZ5Tgd1LNry+lLo/ZeaPKin9eFyx8FUUdv54KbGvYnpqp3HaRJ1FGDiegenqy2goVRVjGYXhZ7hPR3mOIY+dPFcsWCSpP4zIDkNyAex3QwXiizz+Z/0N1HdkL4F7dxktXX3eEyBfFSO4hrIEm8VzaJqsbK1id12Mpo3etKrv84dsZZZQBuNKGj2cKDn0Ko7VmHBcWUacb5bzFHAv4wq8PwP0cf7kUvJqnRaVHO8mHO7GHEsR5GHCeJAyGaVMBcifFYpxJqsOUUwzKuczpaKmVBfOd7WvYqHFaaZkgUUeOBRVH1WApuPbZjWv92zFoBZAyJD7iK1hyXnsyHEgfsbV8WDJMSJrJ7dQ8saV1HGKZWZVNDIsU9QeUoxlN7UUHekJepmQRjOy6ZA8CdS9W1jTCRZTs81YbzHUmhyWLfaLBgOtxURvkejOmayto1eMb2GyiWJcrmPmlbRyGhQcP5rz8GFCOI/Ub+rH26yaO3xhc8ArVyJWmzE1u8SueegrWxVQv3YDbeWyUlBIx9MKrF8C9uHDbXVf8pp1Gj2Rk5E3nStgtLoH5ZXNzMn9SBL4S1/mysWoihX8rnacswxbdmUbJKzBpe3baauuE7FhMjRq7BstDrUGsWHR9ksurNpcudKntrmO0euir3TRap5UWv+pypz/MLkmBRMICDRfwGxe5Rakz+eUswXZZE40mTNJS4ZJyWFSsih0ErHpqjl0Wx79do21bo2671ZFcvLvSxSVAxWX++Q+f/6xk6K/HxOgLffN/bcOlX95+3ITTcyRhRG/vfc0GC+y9ALGL7vW+u6sjSKKmb19i8kbbzH91tvkU7HkW75/UXLyXHTXwajVFGAv3fA8dFGWONl2T/afjxXAX/199Ro/TqBf1kFRmCp7RylA+kkWFZR5QjHbeRqwnzxW7HtpmukqKfyqL4H7xkU062mgWAF8WaFA+qdA+88QP/438jrCCj7xnT8ZyzziZA4pdian88nl+PR5J9345D6lkliG2E2b9Sur1Lq1JQDvKtWCH5ds//drkp8UkP7J9CE7s8cqyvYgqAqmpK3UVqlbDcW6F39yyTGdjE21FpJck/nU46rL42pb9lfPOdt39riQUlZr66z6G7Sdzg9UdPBIwPr7Ae/fC7h9P1DgtBQBrns56+aC9mIgE3lViKeK9kS5LFG1aFURb6Yhug4TJ2LqJYSOlH3ZilRjxw527GLJWnDJDBfClE2mCBm2lmNpwliXAk8pP696JlEVe1ZWqIUh1mVyrOjL40KiFIeLMkFVJF4dS0uQXopCRXXf1JQa0FjmootQKbQZUhAns35Rm8tiVYSQi0dcWlDTNeq6WLTZ9FZqrK416K/WVHF5fcXF67hVkYeoCHRcpUIRT2MWhyGLw2DZz8bBYUAyT9X3nKUxSRKjOTmaJbSelCxPSMKQQhR3lmQEOa7bFzo019t4rRpJEBPPZb0SEy9ikoVsR8RBUn1vJ9/XMhbLKOpvmuuA46AJk8my1b2kVPcXi1w3mExShsMqBxlky7+TtIBjYboWtmvRadms9F1W12pq3KobtOomrUYVG/Kyxwt4Mia6N+LgrW1+93/8bf7v+X/9swvOb2xscHh4yG/+5m/yV/7KX/lMf/OP//E/5q/+1b+qZO93dyt548/bZwPnf5QHyuft8/Z5+2wtKhIF0AtQ/+35bRZ5RM9qK5BewPrnalcUC+tnoR08PuJ/+ke/zb/6l3/IOJgRbcZsXGzwn//N/yuadYM7T0pGhzEX793mxuPbmHnKwdWbTF57Gf9Cg25TY6UFC++Qf3P4Hr/74AP2hgdM2VMsuLVyi5eaL+Jf8njc3lMA6K/4z/N/qL9CPqrx4d1M+dJLIlMYO5cuiLTk2URMbl8iey+M+hN2/SINyNKcy/cLXnvT4sZhQl40OfK+TH7xK7RWI+y336C2/xgTjRVvlbazgqt5le9rkZALUF+ExJ7HYe8KD1eeJej2Wd8o2Hq2ZO0LBoWXEyWRSqiEyxidiyIn3m/1WOv06TZ7lIZLIGyNtCTIChUXqcSCRXY2DiLxCpQkQpVgUNSLNKcWRtSiBC+J8eKY9fmEGwfb2OMRhSwolUeShXlhDau/htXpotea6IZHcbAgfzwm35lQjBeUgbDNJFEukxOD2CxYWDlzO+FxfcxuY87j9pSD9QT7YpvN1XU2V9bZ8NfY8FfpO+IFXefocMr+9piDJ2MeLLbZ1w7YqT3h0DtQyVLx727PL6EvNjCCZ0iTBmk6IYv20eMpDQSk6lL3WjS8Jr7XwHd9XLuGJgmdw3dp7v8BreO3oUgZtK+xt/YlRquvEHRTws6IaWvAUf2AxIrVRKtftOmmHZpJk4b0uEk9auKFdcgNRJFfehFHuMcf4R2/jz+8hTOXBA8s3AuM6s8xrD3P0L1BktsViCTA0rIrIGcJvAtgJtLVJ17VSrZJQH21MFuOK4XFT21yKZBCBFNsoU2Rea/klasHl+Olr7KqWFWeZdVnUN6aS8yjwkCq9yOMUgHXnXqJXy9xG+DWSgVmqddXGcOCTBYKRkYqVgxWRCS+8FaopPJnulgRLJSMvqoHqEhrpxW2UihgpXbVk6o3Up9e1mY179BL23TyhqoSth2lVontaMso21J8AYWVKYn+qTZnkM84moccTkKOJzGjWcJE2L2zgnJqUd9dpXHUx0scHF1nrZWwWtvGNb9N09mjNS9x5iZZzWD8vIWpdel8sEZ92yIpdO7UE77R/4jdjbu8cmmdF+Scdlzs3MaOm4S9Lo8NGP7biWI376zDk+uwWJUfr0AbJWTbA8L9Q4LREYE3ZtGdkjoCrulcia7z+s4vs7X7LF7hYW2FmC8PyS4MCbIZ03nG4KjOcK/L3K0xvaiT9qQwosCqjTBWB2iDjPa3fZ4JV7hkNVBW5iKpXoaU5ohx/YjJyhR6KYUpPr8Ju48Sjv54Be/D53BTn7C7y+Hltxiu3lVJoa7bp+ds4Ez66I86aE86tKYrbNou1y5oXH/F5fIvdypWfbNKskqT43vvccDB45Dj/YjjvYijvZCj3Uh515+0etuiL8D9ErQXEL+z5jHObd59knNnP2eqEtYlnp2y3gx47sKCl7ZMWvU2vtc9XWBnScr9R0e8uzPi/VHEo6RCFS7qJS81HV7caHHzSh+z7pHvb5PffY9yPEBLInSxLHFKkssd4jWXqJmTaXOyYk5WLtS/r8Um9qCBfdzAGjXQC4tSiq76GtqajdGpY5p1TE2SCz6mVkfXXPX+JFl1tD9XYP3O4zH3Pjzm1tt7agH96pcv8mf+7DVeeGVDFdlMxnPm0wXxYlEBg2mkzk9h041yh6PUYVi4jAqXaeGoIpyaVuDlGV6R0RDrghWH9YsNGjVTFStohyn5dkrwUAD7RAH2RSZMkxTHTnCLGeZ8hGdF+Ks6/st9vJfWcF9YZe77HB9lHO6nHApgv+yD40yxQU9as2nQ61v0+qaKnZ5B4KYcpAH3J3NujRZMxeslK9jKDJ6JdK5MC8wgZD8PeODHPKgnDGxZ+kpR1NKLToEUAlhU1zIZy3cqbEGJSupuGdW+ZXJDFDLUBajQ0JZFSlK4lAyE0ZoTjXIFwCYBJHGVJKsS5uC4aq2ubCC8at1OTZjrfRNvxcZqWkoeX6LdshXwpST2FDOg8vDOJIpdiHh4L/clUjWfJKRxRhqnxIkUP0jPqh6nKqkZLFLCMCVe5OTzEiMsMSONbtBkddqlM2uohEu6nqO/WNJ63WXthQZr9TortkvPqfqK41IzPp1xVYq9zXiPcrSt2Kb5YJd8HpCHMUUYUcQxZZoocF2k+wUgFI/uE6b0aZPvWzHfq8SGbjsq+StJYMNzKF2bwjZZFHA4zdkdxjw6Cnm4N2cUaQSZQbtZ5+LmKhc3+lzaXOXCWo+13opSJqhUgoU1JIUPij6qwJIyTatxVtlMpIlGKqC6dPlN59KFzSx+4pmS9BQW+HmQX5Okl7XArS2otQK8eoBTW+C4C2xrhmXMVUGVki1WbCadvKyRFTXSzCdNaySJRxJ5JKFHFLhEc494YT1VDPep928BygQQE8BUAFaJyqaiAs3U2DWUukJA1QW4WOQ6s1QTdyBmscY0Eonjsxy+3PrlmG2LX7dbUjNKxeYOZgWRqG8EkjgvSKKKVSLCAQp8lwImgZnMKuFbqTvLeVXNQSo5yeXNXOFM1bhW5mzpSdWNmA0B7j7loytlCgFr7TMAVyY76uqulIE4PcaUXHhYKEa6+u7PfZdqDqEkpJVfU/Vznvv3TjNTJ4+pcTUROZmPnLS4nvPh2j63Wju8az5kYSa0fJ+vbL3Iz11+kS+tP0vD+QyVtT/GphKWi1yB9Epmf7wE8UWiNiqU1YoU2GQy/19G2a72n+37XsUtTx2PSxDf7dv4mw7+uoPft/G6Fm7TRJO5ohQmS0FFvCy0SIrl9rLYQhVfFFWxxUnxxfK58puWQUbxcSsAuQQ3LIxm1fWWrYo/VDzZlsdaPzyQX8okWAD7E/D+HJCvwHsF6IttwrnKBLmOClAvpvLqHFgyrAuReBXAJaOQqAq1JErxVlbZiKniWWFeynUsr6xXBOxZWkJVUYrMRPJVkuYWjm1hWyaWJQl7UxU9K9suYWNry3iyLb00yEpNsZFHUcYwTBmFuVoOaoi0uUfTtnHKArNIVTdKiUkVqWLlF3MyVz87z09aUZpkhTDbLdLcYm9qc+fI5t6xqbzVS+XNbqsKON2yVTG2SBib0pXSjxQISJQkt8r1KxA/VX05FtWA5bbsl1uO3MPcjRYvffEiL1/fxIks7t0JuHsvIJpHaPEEd/GAvr7Nc61tXr4Ss9HJqLk6dt3H2jiRwBewfkvZheRhxOKDeyw+qFj1unzXwsIXmxLLqqItn+Nk26yibNv22bYUhNnm2fMcG11AYuMMHBaWXj4YkNy9RfboDtnuE/KjQ8rxRJ0bmlhflT4jrcNC7JZ0C1/L8YsIv4zx5fcR9rTcZ22TUiYlwqgWSxnfozSloE5fdpHc1yiUDL8cL3IJFEBiWad9wvyvFqPq+FRRjavjVR3fy/0qP9DwMeo+RqOOKbFeU0C9lAlIsYieZWjCwJzNyadzssmCdDJXcx05BtWtuixJbZfM9cgcj1QWco7DhVWHXl08rnOm85CjcchwHDKeRSRRglXmNKQ41IaW2CnopZLo/9R28jlUL6vfpVarFtaqav6kV0p9H9+nCh9OlHvkxncyPlmMqwr85X75bfcPKzD+ePhJMF5k6pvfW0Ixmy+YvvmOAuTnb71LPhthNUpq/Qi3K4WfIlddqDlY1atxeW6susznVZSUx7lz9nRicFIuUo1128DpN/GfuUj9xev4zz2D0VpHq/fQ6ytoolj2ia+2ZDaJGI9CxkOxrwqX47M4HYVMxqKuV70BmTc4ronjWriuiVuzltsiD17tPx17Jq5nYanzSlfzylKUggwp6tIpDZ3cqK4bohJyrevR839w32nFso/GSgr/RBK/YtnvnV7zNWUhKEXzYndRr6IUXFo+nN+norALZCzKcp/NRuXzdibFL2B91R8RpAtFSlG9kGuH5Cqq+6jEk33nH8/V/vyp58l+AXPV42r8dJWhAur9Ddb9zU/Efm1dWYR+t6byx/vJEqxfcOt+yFRUQj/W5N7juiVBccQo22aYPgZzQb9Z50b7Cs82rrGhrWDGYnWUwCJBnycU44hI+jAikuL75bkkc4U8q+xBZW6Rn/Tl3EMY6KmQMIrlelOut3IfFZEnXafQjKejAvUtCtNCK3LMJMQhxdUy2mJBsury/IbBVqekb0U4opbUbqDdvIL5wjW0K5fU/fJH0aRwRQH1RwHzgwq8l7EC8Q8WzA8D0iAhSSLSJCLLpLA/p9BSpXZj+47qTt3BbXq4TVd1r1OjJr3rUVvx8Xu+elwk9K2areZbP1CR5SRg784RT+4O2L4/Yu/JlIO9OdOFEGEsIs2irPsUnq/udblpYS1BfFWMI4qXNSk6ifnN//6/ZfzR/+NnF5x3HEdV7wmj+7XXXvtMf/Od73yHL33pS6qKXjxzPm/fu30Ozn/ePm8/PU38qG8tHijpe/GqH2UzGobP643nFFD/sn8Deymh89PcpML9N/+X/41/8pv/O8c7A/J2zi/9uS/yd//P/xdsxyaIYHAYk379A+xvvEcRJDzeuM7bmy8x8yq5L8eS9U5JUD/ksfUhH81vMwp2mRUHaiHSTi/SavXJL6CSR7/Svslfbr9Kfd7h3sOM3X1JwGpc2TK4tiWLgE9O5GXidn/ySIH1bx/d4p3BB2SHx7z8TYufu2fQiAwm1k0WvZ8ne+kS09ZjBvNDgukcpiFfGPm8OPdZjx1MlVCICNIJ82LBkevwuLvFfutZxr5PYB8y83YJ6gPwJFlpVwZ+4lEuE3vxM9ckueGpschSWaaNbZiK8VwrCppZRjvO6YQpjVmIN5njLha4QYAbLHDDACcKcPNULXAqyXgTzXAx6x2M1gqGIwB8DTILZimlsNxmCwop+RSpJllNKyMARQlTC6TYLjluxDzsTrnVPOBxc8JhLcHz1lktrtFNtjDSFlmgsxBJ1zghTjKSLMMuDOWXnXcGBJ0DDlqPOa7tqWRBLe3QX1zHm1/DDm+QZauqwtGloKlptI3KN08SVq74cwpIKzkKR9QLSwJzSjh5B+vh79O8/xZWHDDvtxh/4QVGX3yesFtjwIydcqgSu65mccNe5Ya9znVzjZVpj3hoES5K4qgkCkvisIqqB5/cn0keqwQrndINPqIbfEA3/BAnm6jfbe5fZdp+nnnneZLOJSxHFp7aKbNcfNWFbX4CsAtpXZgrJ9sn0TwfhRRgV1Hl6uQNqKx2Wf2+f2JmD0QhLKYwn8JivowzmM2qz6wJ2quLJL0yjq7AejGRVobSy3jSVN5ckuGl8q7MtZxM5Nn1jERPiI1EKQIEZkyohRxmMw71IamRqJyHYxis0mJD69BL2nTCDs2gRX3eII+EbX32T6VZSpqm5GVEnAdE2ZwwmTENRoTpjNAIeGDcYc+fk+cbXBy8wPrRNcxxhywVQCKmwTFr9kM6jSGr9pSNMESzNRYXHJxonc52DyuwCVybx5cSvnXxNg+ze/Qdg8u+z9VOi6ZTw3ZczFoXe9fHeUfjqCz5vS8n3H6+RPekoKXALAsaWY4blOSP5gTH2xxZexyXY8Z5xNrjm7x876usTi+g1zO0a2NqzyTobZFBl8tNwGCy4GiRcOAU7ArrWwoZ6jG2G8G9GO1dg5XSY9Ws0zY8pWwg/5OKcmEWD/U5SSumt1Zw9YpGWqZ89Mc5gz/uY+9cUCmcReMh08Y9Bo09Fq0FYWuh5MgkCWzENbxxD3/aozHvsp40uGg2uXGhQ/dmE2/DV95htlclXCTabhWF3Tyf5kyGKeNhyvF+zNFeBeCLNP5Ja3YtBdj7a3UW9ToDzWGSS8JRcmMF3VrI5ZWUn3uuzY0Ln2S1TRcRtx4c8d7+hPenCdM0xypLnjdLXmy7vHShTb+pkx9tUxztgVSKS8X2fKQqy7XuKrRWoNUlb9fJmg65JQv/GZl4lQ4WlAcp+lEJcUlhpiTdKUlvStqdU1oCdRmnQL2p18/FBtHU560/WPDHv7ujmPatjsdXv3aVr/7KVS5stc/uTeKFHcrCVPpC9TgIVRJbkvGR5jLXXEa5y2Fk82SqM5jkRIpNL4nxM5aVKRXvjlS9Q2Oa4x1l2IcZ+l4Keyl6kKJHCa4W4qYzPCei3oPul9r4r63jvbiKdaFZea+WJdNJztFRxuC4AuwrX95UgfnizXvS5Jq10jOx+hC0M0ZuzL4WMyuFlaexWXd4vubxnGlzybBUEl8kk0+q5KuE/nIsDEBho1W4sALFVWGTAPjL7dP9n5DJP3fNk+/vMCLdXhA9WrD/0YSDB3MO9kKGacFxUjDSNQbiq7283gj5TXzZm4VGM5dEsU5bvEXrJqsXfdYv1Wg0bAyRuROVGN+suoxPtpexuh5on00qcl7y6DDnwSDh7iDg0cGC2QcLrMcxte0cXWT9mjnjGzHDmxHR9Qwh/kgO2dUNerZL13ToWS4rpkPXtFkxHNV7ukNLt6rvrWaiNwScODtmBEwijSFPFCs1DyKS0YJkGJCMA9JJSDYNyWbi0RipxwXcF2Bf11N0PauYlkaMZQWYSvmjyh3LPFcsTWaJroD646hgEBXMYpNFaqFlTay8i1uu4LPKitGlZnx3CWoB7ETy25berGwVvEYFvjvOHMuaYxkzTGYYxQQ9n6MJ4/kkZy0+1bWO8q/Gr6Lali7z0c/InlUsq6T4BGiqogBmy3Eq43FCNsvI5uJ5n5EtMvLgDFhVIKuAsHHVFbh5IrGu0JYq+RbpBoFpEpqmipFhENomsWYoJm7Fxi2x9FLNqV2RuXRF5hpcT6dW03FrGrYC0bQlAVE767bMtSplIjVvcSrWrecv5dndKgooJOC6MOSFJZYtCrK5eJxmZONUfd5UxZQifjphquxu2hZW28JsWZhNmRgtz+FlDk2NT34vZUZ5SlE9wx+WSTD135OxUpo+e768jryvZD8iPoiJDgPuawfcajzhvfoTdv2RuuY8Y1/k9dYzfOXCC1y9cAF3w8Pq/eQYaH+S9t2Ox0zJ70sRY0gozKZ5RDCPCRcx2SgnH5Tkx7lS+xAVD8MwqK0JaO9Sv+BS26iif8HFW608Qj/ze5ICjGmiLFJEWj+fpqdjFSfLfZOEQs6HImeRJ6c9cDJCS4qDK8WuQEtZlCmLIiEzy6VViRw83+07+dj2x6oXhIPoEuPrCb4mMaamJzgkSjVFJObTZazw7BPDlWp8ft/JtiG2QwJoCgBsmlimpaJpW+ox07IIw4jh8Yj5PFC+7NLbTY9et06vU6fT9um2fDqtGo5cp5Xn1dNdXbPLqkhgtAg4mi8YLgImYUiIoXoscLxW9fi0WyScbZ8+JmoquY1W2hgyZ96NSR4vCLcX5EGGKV7Nqw2l1OIJEzDTlc2ULmImsTCCS7LkbD6whBoUQG950g1s8XIWJr+nYyt1B71i+KvrihQl5Xzr23vs7M6INJ3alT7PvrbJ135hiw3T43Cv5IO7MfcErF+EGMkEN3jISnqPZ+oPeW5zweZKqWSBnUYDZ+t5jHUB62+idS8oSd6fRJPfqpjskg8eKmuGfPCA7Og+h5OCN442eXdxjf1khXqe8Jx+wAv6Idf0ACfT0VMNufiLDK/21PynYvY9Bcyq/59cO5fAvQLvq3GqV793pFvMS4Pthcnjuc7uXCeOMuwsxshSBcLLmlOOaSkYVcB7WVn2pGLdo9icyiD4DARX42Uhn7oOn54pVfGybtJo2ly93ODq1Q5Xr/bYXG8q0sZgEnB7mHB7nPLBHO5HGkWW0yxSnstn3EzHXAtHbIYTjCis6tKXn/Xkkm96Hu7GKs76Ks5aD0uk5VXFuhT6VQUJp5JMJwo+J7JNp10qR6rPXikBcQbGK8/4pUz99wHjpaXDsQLjJ9/4NvN3Je81xe2A14/wtxy8qzcxt76IufZsdSVS1WuV+tBS47wqnjjxvKsqB08LhlSBhRRWRglFGCs5bmHly7gQBmwUqyLM8OE+wf19snmkWL1J2ydr1YjrNQK7zSxvMk1qzGKXcWAxk+IbTfJIUoBT5RtabZdW11PrFxkbdYfcMUkMjUAAN8kDBakaS8FpFGbEUaqOKelVoaoUp+ZkcU6eCMD6/eEl3bcx2p4C2y5utbl5o8srz/Z47kKDrY6LJcfdD3ou5inFfJdytkuZzCiTBWU6p0zmFdNeotpX9U9rAs4LYI8QRZZgvoD3T4H6ooZmeqoAQpj7GMsoXf/Biw1+3E1ZcGYFY/ntsoKaXeXyvJ+wKsIP0k5URo+CfQ4Wexwsdk/joYp7ZMWZElnHXXkKtF/zN1lbxo57Rgo4ee3do4QwEkKYQcKYd4d/yJv7v8/7R2+p/PIzKy/ylc1fVB7yG/ULn/l9S5FfNI6JjseqNF2upaqASOywTue8H4/V31aF6mJLWZCEFbM8XkQkyxjPQ7UvmkVKcr9/fZXulR7dyz1s7+kiE3WN3N6De48o7z6E8bQqWrp8Ee3aFly//JmufX/SptTRZsnH2PcVeB8OI5KFqHtWXVj4ok7x3ZrhSL5MLAasynbAPxtLVBYEp/tMWltNWluN73msh9OQ0aNjho8GDB4dMVLxmOnxnAiTSLMxVzqY/Q5au8lM0/iv//v/L0f3f+NnF5xfXV1lMBjwT//pP1US95+liZT9r//6r9Pr9RTr/vP2vdvn4Pzn7fP209nkUns33FZA/RvT99lLjpWc+yv1Z7jqbnLB6XPRWWXNXlEgzE9jy/Ocf/I7/4r/13/zPzK9O8X1bV7/pZf5P/3lv8Qrr7+gPF3FCzT/ow/JfvddyllI/Pw1Bq99gUOrxXACg0mp+jROmJRzRuWQgfcOM+MuE+OhmoCYWgutXaPe6fBa+yr/x40X+IJ2je3HGg+3KwnaCxsGN66YtJrfffIu1ZYfju4rsP4b299i8Qcf8fq3Da6PMnLaLJwtYq/NtNVgf93l8FKNoNfCyW2+ci/m1Xtz1oYJljC6yoQonbIoE0ZenZ32Jfab15h7PoY5xDYOsfUJpmIUiSyZhR3MyOfid31MtBgwC44ZR0NG2YShHionvCrJqNMyPXp2g9Vam9XOChu9NTb9TdaNFRpRHWOuU05LynlGGaWUUUIZheTivxqnio0my1i1lBXJJMMg1Q1mlslureCj5ozbzQM+aN9n1xtRyL8ZXqIbXqUTXKYRbaIrEyFhDcZKhqjQMmoie+ToZO1jpq1d9puPOFRgfEkta7EaXqeWXaRV3sQoNklLB98xudo3uX5B5+qmRqNeAdEncvESxYd7Oz/go+wRD4/eJ/3Wm2x+e5vWQUhRb3D86k2evHKDBys247IqzFstW2wtLtKfrNGcdNGGHqPjktFRwWQoC9qz317mvZKkdrzKs9GpLb0bveU+79x4+djJfmFcGpN94g/fJ37/XeKPPqAMAsV2sFbWl2jSKenrLLG89DI8NVE6ZS1UlDI13TphOah9y0X6x5oUemiO+Nc66MtYbbvoJ2ORtTvdX8Vq+9zY9apt+2n5O8VGSGJKdexIlMW+SF5VUTyjkjgnli5+T5X7g2Kfp4UsWkwyEelcMo6UTKR4O8n3YrvEhkOgmSw0g0gvyY2c3EwpdUnsVckcGWpZqfy4y6TEyHXVdYGfdQvTsCrJM13YrFLVq6tchi6Su3ZA4OxwX7vPziLA2lmjs32FcthkEsBUNMjSED8JWLWPWfEnbJZzevZI+V054Rr+pEFWmjxxYr7dus+7nY+U5+q6XWOlbrHWt9nsN7BNk0bUoLnXJD9y+LCh8we/XDLcEG9ukQqr6hlsUeEY+XT2bGremOTyfY6sXWYf1nG+cZPO3ctKDjtfnRI9s0txY0C95dAuOxV7u9AZ5AG7+Yjd4piDcsARx8Rlqr5iRzcUMNc2HVXcc9KEuTUtEuZ5hqtbrJk2XUm4TGyG7/jw7gXqgx6+U7Kxdcg11yAc+gx9GG9MOaoN2J4fsh8PCLNYSYkLQ9mfN2nO6zTCGq5mYJuOkuo2lJS3dW5cbbumi2vZOJ4kqo3T/Jiyi1YFMTmBADzy+sKe6LUxr/bR10UeugIExIZ7rWnyzKbF81ctLq4Z+N7Ti+ft0YJ3Hx7z/uGcOwtJsOf0ypyXrJJXWwbX3RA9qWQkDWE+id/YfEw5GZ552DoeWlsA+5UqtnuUza5iAmb7E9KDEflkQanl0NEp+jlZLyLzFksWfsXGzxUbv2pi/DB40uad37d4+w+FLa1z5foKf+ZXn+Pnf/k69cYnK/jlPEzDgOwcYJ9JdY3yPBUg2yVcaMxmGkWjjXmhR1BoLBIBPksWcck8KZhLjAvmicjuFtiDDOcww5W+n+DvRThRihVnOOUC146xWwWNLYfVGx7t6z72Rh1ztY61WsfoeqfV4XFcKJD++LgC6yvQvhoL616KRCIzZ1JLiLo5QTNl4YjEvFzzz3XB505AuD9Bq7C6MwC/utour7jLH6EiBy4hA7ksxWdMT/GPK+aFAhfzsFRejoVYlAvgIAU2ofzBmTqI5xq0HJ2eYbBeaGyVOtcyg81C5PuXtDUljysEw4pFKEUHuqWhC1AszGV1K15KWqqPvpTLlc+h8jKaYhMOS5P9VGd7pHN8DPNjAd1E1QQCKYTYyMnWI7R6RGFGZFZMZKXMrYxMZadPjkHoxiZXFjY3Zw43Q4+rRg3Xd9CloKBhVaB93VLbwnDV68v9y21NCg3PWzyI55/Idg8TokGqgGWVW9LEr36hgHG9mKPnM8hke4aWzSmiEfFiRBZOiBOROKwUBuR6FeYCIIhEawunsYLfXaXVW6e7vo5tJujpqGLBLkawGFGKLMLphzQq5usJ6O53nwbiRdJaks4/KjBUAMZRUoGMI2HDJBUIeX7fNP2kEsG5A1cxzUWVQUWzkkV3K8afMNxLs/IvL5bsSBkLi3YJeajrv2ZpeApM9ahtuli1H3yNIO8xm6Sko4R0mJJKQcFouX0CuI9S9RwB5Z9qovAjYHvbXsZKdcLsCABvY3WWYHzbwqifFRhmccH4SVzZQJ8/F5bXgso+4GT/Ui3j/L7l8xQxZiktffrc5Vfw8QSrnOPJQUS8H7O7d8i39j/gW7M7vJ89JE5Tummdl2ZbvDi/xIveZfx1H3vVwVl3sVddnDUHe93FFIb5jzhpLczbNM2YBgEH0wFBHOOJ+HduEMcpYRQTR5IgTohOe6yi7Kseq7YjKZqNqr8Rtvb3/bdFzSAuqrlWYWCKDUesoYdy9zKxNQvbsGh0PBrdGq01X/XOhQadi3U6m3VqvovnOaoLW0lsMGazgNk8qKIaL/d9fP80IJhHssCoVDRE5j8XUBJ83aamWfilRa0wqeUmlsg+nCSn5fpVX7Lx68trlzD0G8LOfPpc+LSf7JO/oxSwmDiOvYwWtl0x3S3rU/Yvo7Dgf5BjIgzlGDxmZ+eYnd0jdnaP2d095uBwdMpKbTZ9Lmz2lr3PxsYKFy706Xa+dyJZrqWi0iNWR4mK58ef3DcaBtx/55CH7x2x+9FQAe0iV9t/rk3nZhv/ko8I6s/ilMMg5ECS/jKRWzZRQOnbDn1cuqVDK7dpZAZ+YmLHOlakkc8LgnFKOM1UTD9+HQHWn/PpPm9zmM/4gze3eXB/RJCDc7HD1S9s8ud+5TJfvtomGJR89CDnzv2Uh48jJdVr5VP8+DGt2fvcqD3gWnfMZk8KpR3sRhN7/SqGsOF/LFLoGlpzFX3jOfTV6xX7/fsxe2eH5Mf3FWh/tLPNGw8y3jju8VGwqmYvz9d3+MrKNl+6MKSzuolmuer+JUz5IHOYJTaL0CSMLaJIJ44FZFdCTKRJdX2VeUwcZIyHCbOp9JTJXLoUeFSFIT2vpC52NoZJZhhkKkoBn6zHCywjx5HCFeY08znNbIKfzdHjGC1JMLIcLc3RsgIDydEUFWm9IkSrC/ReVGM38tlNGuyldVIpANZK1pyIi17ExWbOVl+n3a2TNjo8qq9zz2xxR/e5m7skap2hc6Oh83zH5sWey/NrYu9TI5vMluoIdwnuPqBIUqWIULt5Df85YYzfoPbMNSX5/lnb2Xq8/MzM0Wh3n+k33mL8jW8T3L4N6Rx3paC2llO/2sS9+SrGpS9x1H6R33tvwb/9N/fZezBSCgGupeNZxjLqap/4Syu1pnPHarV5Vmy4PPKeLtQ4NwzmCeNRwGhvTDKZk8/nFEGo1ju+XdBu63S60O3ldPyAphthuyWpYxN6daZ+n4G5wgEtDvI6h6lDromqiUzaK5D55P1/PHpm9XkcU8ZPPyazMLOQtb5c4wt17KgqEGV7JMdtzuPdKR98NODx4zHH+3NCmW+K8kjNxux49C80uXy5zbM3Vnj1+R4vXGzS9n50hCaVw0iDCrhfgvcSWcbvui+TMojv0aSwxpRzuQLrlYLB6baA+N5ZFFDf+thzT4tXTwo5TqSOquKOSglFLNZyxlHBJBKf+JxJVDCOS7WviiWTuGQUl0ySUuVxztQYqsmY/L4C0vuOUdmoOCa+Y1F3LHzXpu7a+EsgX56j4rLX5W+sp726f5JN2etFg1Owfv9jUfKvJ80ybAXUr9Y2WKtvnkrl786e8Mbu73NneFtJ8L/Uf42vbPyiAuW73srHCp7nlLEUgEwpYzk2Jsvt2bn9y205hj5N+kiOlSWxa7kwRJOcl8x/zu9Tz5F9S/UPbblPPa96rlJ8kIIRq3ZWPGJ55wpJzsaKTDaawL2HlPcewRNRnCihv4J2/bIC6tlYVSSHH/dvVoaVYpOsTTUhoS1bnuSngP35KMD92b7sUx+THsziSr1OlGPQqNVtNp5fYf3FHmsvrtB/oausIr5fE4n9oQLtT/pAxePHh/zhH/0R/6T47Z9dcP7P/tk/q/zj/6P/6D/iH/2jf/SZ/uY//o//Y/7n//l//oF86v//uZ0H5z/66CNu3rz5k35Ln7fP2+ftY00uuzvJEX9w/Ba/9cG/YmDM8FcqiVMB5gWgv+SscsFZVYC9xE2791PDspf3/9/+y3/Ef/cP/zHpowxjoatkzdUXL/Drf/HP8uf//V/CtUzyNz4i+zfvUE4DjC9cwfzzr6JvdNVriKfPcFJyMMl5Z7jP7dGAA5HaSvaYmncYGneIjUD5jNotn4utTf7Kpa/y57wvkB+0FJte/P/6KzrXr5is9b9/9WecJ7w/+JB/88bvEP3WXVYPSrqLkmaywCgrtmeh50QODJsWs45H2a5zKWlw/bBJa9LAzmtVMXY2J9ZTJvUGu41L7LlbZJrFxvwhm+OP6M4eqUlTZrpERo2Z4TM3akx1n6lRY6J5DHSNuZHi6CndImYtT+nlKStZQVuKFPICQ2TmFMCriM4o+FLYLzIRE78dvQLhp6bJwHLYd10e+jF3mo+507rL0H9EYlaTwnrUpRWv0k3W6NHDdx1qvkGjZrFmJaynE/rTOfZkwjgPOSjn7FlTjpwZoZIl86mVF/Gsi7RqV3Cdy8zyDqnexG14XN+yeWZL48qmMLaWAEpZMisXHBdjBsVYxcf5Lg/m9+m++4Stbx2w8WBOadjsPHeBd57bZKe9hTFp0J+u0p70cEdNGHqEE6k+r35LYYB1+gbdnk53Vafb1+n2DDp9nZq/lIn/GCBNEFOK39IiplxEy3FEKdsn45PHg2p/tRASttKQeLbPfCxFghq1Wk1JKqpl8+niusosS7JQW1YjqMShotBXY5EW1M757IlcXxWlUtuklMIFpf0sMJPIbKbKO0qsCxSQHoVLID2qttVjyTkeS/XfM1XYc1+YVMhKEYccU8sFf/X+P+1sEf9RkX1cAv72SbdVwYDIMeZOndSukdk+qekRTSZER/tkx8fkUUiWyaRYYyYpH61L6K4zbjYYtk3C1py0tSBrhBRegWmJZYVJ326yarVYtRr0jAZrVpO+0VA2B7s7wuzNmIucqpwPuvj2WqxvmPhrGff3jzm4HZLdsxiPNHbzmEGWkg8NrKGGE6bUzTmr5pi+PmGTgtXcw8kdwrrJw+dHvH/5IbvJmPagzkrSxKjFFO05vY7FltuhndfIjjUejALebKRsP98gvlxTQLBV6hiZgRm42LMaKxOLlV6IcWUXgyH6+330t9fRPuhhZzbWVkz6xW14aRutJrrGPvq8hx70SAqLRCuZaRlTI+MoybifjxkaEVt2nV9orvIL7RUsXWORBRwnQ+4E+7w1e8KjaIc8G1Lmc1UcEk1F5VXHnPg4gY9tpVzoprzAGjemr7C1/jxXv7SFs2lx72CHP37zPu9/+JBHo11G1hGpGYCTYtoadk3H9EXetNIWriweRNJ4aakgSf/CwshMTOXFbVQ9MdESnSLUKOYa+UKjDHVYWNhSPOBfw7q0inVpRfmHSUVIeTzFGM/wo7DyYe5adFcsPN/CqVlovsWRBTtFyqOyYEKpkkEv5AG/4s644QSkScDUMNl6/edxW220xUTJ4DM+hsmAcjY5PWs0v6GAegHtS69NnrlkU5ExnavrgF53lUe9ud5C7/gKOkuKEUkxIMkHxMsYJsfc/k7E27+vcfcdYUAZvPjFOl/52hovf/ESnt3HMaQIr2KvfzfAPlnMSeYz0kWg5OLENL3W6+CvdRVrzJDCnI/9vfi5C0g/jyqwXoD7WZAzeZyweJAQ3Y/QPpzBjmR0c4w8xyxyXCPBc1J8N8X1cmprJv5Fh9pWDXtdgHtfAffWWh29WRX7yO8+HucVWC+M+6NM+dvvDhJ2JhGLRaFUN9TnktuHCX7DoNEwqDV0fNUN/LpOrW7g+xpevfLUk5S+kgheSm8rgpSApQoTP+cJe8qsr7YrufyTK9jJ/nMMXAHqj2Py44jiqIrCvBeGc5CWzJUihcZ2mLEf5gzDXH2XkuSWJre1uq3TMzXWDZ2Lpca1XONGotGqEMglwL/E75fnhcRl1rWS5V6+SeU3KcCtdMXMF9llkT43eTjS2TtAFZ4laKQdm9m6R7rpUnQs6i60Ghm1RoxdT9C9hMQKuR+MuRNMFbBiZHA1cxVQf2Nmc21s051oFKKys7SMeOqqb5wAYWfg/VNgvlIJkvtY5cd9OpYoftXWSa/2lWLVkgRKXlpkpkf7ewz3tpke7BOMj0lnI/RkgW+I93FBlBbMcovS65KYdWKzTmY1yJ0mhVt5R7ueo8Az17VxT+L5vtznuPangmnyW54yfRVAHZMIa2MYkgxjklFEMo5JpmJFUUlXi7VBLmY9NYNCJCvqJmVNP+3UDJorDfprHVY3Orgttyp0+FNgJUkRioDr6XAJro8/Br4Pl+D7ZCl3ffpjowBoqyOJcAHbl/E8CC+2D50lCPoZPkc8zzm8HXBwK+TgVsDgXvzdCxd+RM1wNNyGgdM0cZrGcmzgNEQK28CsSy5So3BSPpo/4jv7t/j23gcczSaYicbVaI1rs1W2DlawZ6ZiSMnvXVolWtOgsCDTC3KxApJiQ60ay/GgrIHIZaamtlOlIpGxKCLmaUiQxYSZFPYmxFlCIpKlSsK1kvo/+yk0LN3EMgwVZT1Vc13qvkejVqNV82nXG9Rr3ulx7rmOOsarY95SfyPnhUTZlnGaCdNREpSJYnNXMVaAfhAIyC8xYjoImB2HzEYBi2nEYhYSLGLFhjxL5otlUmXVIOe3SNdqFnRXO0odRT1FEv11j0Zd1Eeknx/XPjb2VJT3+4lzNC3IhjG5XJulHy3jsovE/kmTa5S56la972Iso7nmYXTs00Kzn6aWJBn7BwMF1J8A9gLe7+0NSKWqEdT3silA/WafzSV4L3FttfOZZFzlvvn4wYh33tzh7Td3eHh3oL7nG8/3eeX1C3zhSxfYuPjJOcj5v58nKQeLkEPVo2Wsuuw/FoWVc2nkmmWy6nus+R79mkffdmkXFs3MpJaaWHONR29OefitsZLw3ni+zurLLiNtzh98a5fbtw5UwaG91mbzxQ2+9suX+dVXVlj3TO4+zPnofsqdBxnbeylJEOEyo5nt0Jy+y2X9Nmu1yelpJT69om5wonJQRQNTxuf3W8bHnlP1ONXZG2rsHcP2QcH2QYaRLui4Mh/VWLnQZ+XqZXrPPMvKlS3aUtT4fa6Rai4TDBk+ecA3bh3zx3dT3j80Fdv3knVAUprMC5d57p6U8i3/sAqenuBKUdwioJxHpLNE2ZzEixJdZIH1nNVOzMVuyJXenGu9KVf6AbaVEy7m6jPNyzbHSZ3jrM1R1uY4b3GctTjO2wTi8aTMsnVso6DvRvRqMf1aQr+e068XrLgZK1ZGTXzAI1GIEXsLUdIJ0bQ5miYFxSkHI52HxzUeH7k83HcYTnUFhnfrGVfXYq6sxly74nDxygpGq88DbZPbcZfbgc/7Y51JUq2tr3Zdnlv1ubbicX3F40rThO1d5rfvKMA++OCukpWX89y9ckkB9f6zFWBvdVqf4Wz83r9XeP9RxZD/ozeJHtyFLMDrZfgXDerPbGBc/zKPWq/wYXmRb90d852vP2B0+4B8HFJvGKxddhTrMsgNglTmf0sShfxX1xTAXbN1BXIKm1mA+5qpPzU+fwlTuOw5mwoBnNrCeO96tMXDuePh1wyGj7d5dOsBj+/usHM0Z2A4DBsdxo0OoeNguFKQkOOWCWvGgjVtwmo5ZLUYKP/tvhHQN0JcWfO7dTSnruxAFINcRR/NbVT7P63LhP8HaEmcsbcz5eGDEe99dMxHd4c8eTxmeLggFAsWOadrNn7fV9etq1e7vHBzhS+9uMqNjXpV/PunwDyXAoJAlAvSiDIXNaqYMjuLat9JVEpVy8eWz5XHVMzl71WFTRXPTc5kHbczDCrLs1qPaeEyzhymmc04s5nkNhMp3sk/mRN29Jy2EdMSex8zoW0mNI1YxZaZ0jZTbC0jLAwWuUlQmCxyi3kutlWWGst+FZePhaVNVCzngJVsxkkVpVrLeCbULfAtjZoFnqlhi22FIdekEleUnpSaYoFrlDiyrfadjItqbBRnjy0f188VIJ8mAE8A6fOgtdpnVnk5dQ2zTp9X7TOIypyjeMRhNOAwHnIQHnEg4/BI9aRIVZ791c7zfLn9HK81LuOLis1TQPsyplI0/DGlHnkfTqNSW3CaH4sNNNM/qZRdKmmIikd+TkVD4tm+E/Wc0+fIe1HPPaeyc/pa+fIYDCnTECSq4+rTm/rezgP5pYM+MtCPCmWhJ2oumliaXVyBy+tw5QJ6axVNFAdE0u0znjPFPCOXudxQipnjs/FQlJ2qAuen5nM148wGaWmPJDZIWsMktjVCo2RRFoRlzixKmU9j1WfTaBllO2I2iYmX81ch/YkCWBpkJEEF3Bt5pULo+TbNXlWM2r1Yp3uhgS9S+jVLdbHoqPn2uXEVZXv78WO+9MxrjJn+7ILzv/Ebv8F/+p/+p+rk/jt/5+/wX/wX/8X3nBT+3b/7d/kv/8v/Uj3n7/29v8ff+lt/60/rrf7Mts/B+c/b5+1np4VhyG//9m8rAO3n/+yf4VifshMfsR0fsB0fqvE4m50mb1btzhlgb69yyZXYx/seEqE/zibX6feefMg/+J1/yre++T6zewHmsYatmaxdXeGXf/F1/sO//OdZO5iR/et3KEdzjJe2KpD+Yu8Tr3eYD/h69BZ/OLrHaFySHjgc78bsabeZ13bJazF1v8VLKzf5D/u/xJeTn+fJI43RpKDh61y/anBp08D4jLKM8v6PoyF393b48N8esXg3wDpIMOYziIeY2RC3HOCXIyxdpLoL3KLEyyzs0qemeejYSgouMiwGzRUe9J9lu/MCYb2hJCTF6dJPUvw4ph0GdOZz6osFXjjHjQLsJETPUjSp3hYPQlU1WU00S1UVqZOJxKhWEuslYzPnyEjYdzL2mznTRsmkE7JoDZl5AwWmJUaMY1lcbV7i5ZXneHX1Jb64/jKdWrVQzY6PmH5wl9H7HxHcu0e8d480mhKXCcf1ku12KZMD/NikFfs0M5cmJp5SgdOVWr74hwq+rORUXak8z0gtSByd0NEI7JKFUzCzM0JXJ3YMIknWi4fudsKFdwYQFuy0L3C//RK77mvYs1WsuYen20qy3nV1BbZXwPvJ2FDb9eYSFJffUUD3wzHFwYTyaKKk/RUQvwTZFdgeiefTJ48BTWSfag6adN8FX8biASiLIofMdhQTfGGYPE6nfOPO25RlzLWtCxgyKZaFlSy2xDtX/JNUFE/dFE2AcClVTjP0JFddSwv0tMBIC8y0PI3CHqpAqDN4XUkGy0TULZg7BfOnYs7MyattOyPSpaekIkGcl1hpgZ3m2BIl2SX/prwVUyO1dVJTJ7U0MlMnEZsCS3xxDXIZixeiKQz2yoO5klOXBIEUhhiynidPlx7LcUIibK8wRg9KalOT+tjgZljnGb3GBd2gn2e0wkBZNhhY5LlJaK0xNi6xcC8SrKyRPFcnvgFRZ8zAHikG+UDA5WXB+IrW5JXaRb7SuMyz5iaHj0t2t1OGAj6IeYJIP3savRWL1VWTdJSz9+GcxXbONA+57e3zoJwRj6H1uIm9XcPMhPFe0C8XrOcZqxR0/Jjs5QGP//yIJ6/OiPQETTzv0xKTglZk8OxejwtxQ303E0te+5Bb3oJ7ts601qC029hljbXjFaykqZIxrRB6jYBiQ9g/MY17Ju77Hazbq2iZSXFlSvHKLrz6kLh5TBbWySdbLBaXMHKbVqnjiIRornNUpjwpQ0YUNLB5rdbkL197lkatkiMTYOG9cMTXZ9tsB3epl4c4+YzBMOTOrYij/ZjImBM0BqT1MTUvwy9qNMsua80NNjZWWav3WLE76EcNFu/rLG6XzB4WBEdmRTZxcvxN6DxrUL+qU18v8fo5hZUS5TGxgBLnYpRFan+UxaePB1nELFoo1l8alPiihvGkiX50haZzE79/CaPtVwoVYso8mKnz240WOGRYIr6Zp0pCUQ6UqGYyWnEZrziMex6GWfKCteA1b8EzdqRYqHeTGu8nDR5lvipwkhoDu8yx8wwrl8RnrKQ/nTzBEQ94SRoICGLXsHUHpzBwRRZYFmn9BmZN1C2kYEUkbTX58hUjME1CwmTMaHzMe+8ccOvdEceHCbaTs3W1ZOsqtOo6Wu5DXkMvPMiku1C4FKmm5GA763WaPQffL9HTANdJcWsllmcqhphVr2PLvcavY3m1z1zlLmDx/pOEOx9EPL4bc/QgQtsJcQYptYXc5wqsQiwEcmwtxtJiHDtVhR1uXX57B+9iDWu9Au0r1r2PuVbH8CtGWZaJZH6mAHyxPpgMMyaDhOlxwnSUsBimzEX+WNicRY5eSBS5xZJGTaPpgS/dKuUSTc2WpE+JK8mftRru5TbWxRb2pshO/snVhlQCQQDN7YD0yYJsECtgWWR4RVI5MeGjecztccT9YciTYczBIGE0SohnVVJBbkWeY9BdddlY97h8ocbNSw1euNLkygUf3zcoRd5cpJ0lWTFNK4nw2TLKtvhPnxsLmKqOpQxGc43hVGMkHuxSAFAz0NYdog2X8WqNkbK7ETaxRseFdT/HbMyJvBkDe6qufYdFpM6lru7wjNXgGb3JzaLG5cTDTir2QiFFINH5mFOGGWVQ7RNAX912T6Vtz+J3axWIfw64t89FWycmZzccszs95N72rmJ6tldWSItiCWpmivEcS7GXjFWvtuVa94n7+nk/eklWGqbqeqmTJZnquXgHI8UfFfguSgeYwnaqlD1Ot6XIQKTPZb9QBT9j/rfV8un32qr3ei36/WosfUXUmeynk6rq3i8S4VHl+y3MdQHd5dyQbTluFPAuLPcTtvtyLHLhT33fplYB611htC9Z7QLAC9tdtrvL7dYP5/ktbXGcngLxh7dDxo8ru4PaisnqCzXWnvfo3XCVokSl2FuSZQVxmFZqCkqlp5LGVYo9SbWtulgpqbFY3uRqW347iSKfq+YfiUjolhSxBmKVE+uQSDfQUgM9NdHOed2ftMLIyYxE2fEEWoD8LxWrBqtQhaVyOaku5wm5FleKT1rFciyWQHym5aRapmx+pFBXemSmpEZWnRPLc8TFol661AuPpvTSpZ37tIqaAj7Sek7cyAhqKYEfM3dDNa8Y6wv1moo5vjy3G26Nrt+i12jTr7dZ8ZqseC16tTZdt8lKrUnHlbnJD892kmNSfpfR9pTBwymjJ3NGO3Mme3OGezMOHx3jYNFv9+httli91mb1Zpv2tTrNazVq658E3X8U7TThK4D9wXngPiSTgqthpdRwci4YPacC6xWA72H0HcxupWSj5pdVBdjSZuLEx7ti9au4tJ2oiIvlU4+f7jt5vKoeU9c3xeyXBPMpy1+KXfXvq6xweDRmZ+eI3T0B7yu2vXQpqpBmmoa6vrRbdVpNn5bEVhX9msdwP+bJ/Rl3bw1UgloSyS+9tsErX77Iy1/c/FQVnz9pk2vnIIi+K3h/FESMo+p9q98DjVfXV/jVjQ0u7ns8+qPJGVD/XJ2LX/KZ2SFf//Y273x7j0mQYazU6T+3zp/5xcv8uS+t8vyaqyzJ7jzMFFj/4f2U/cOcLM1oWBHdekLHi2jaCxrmHF+fkUWRkgROwrMYB8txEDObp8wiQ1mxzCNTRQGypcmUqu5ktOvgtRrYNU8VUQbC0gtF1U2swUxMz6ez1v7/sfcnMbJlZ54f+LvzYLOZz+7P3xhviJnBmcxUZapUKRXQVbtuCL2qBrKA6k1tetuQtBHQOwG900KLQgmtkoAWhOpUF5TZqqpMJmdGkDG/efJ5sNnszkPjO9fc33vBIBlkkUwyM07gxDn32n3u5mZ3OOf8J7qbq/TWWnSXfHrLNdV2ezW6yzW1oP/JMg1zBdTffjTAN3LqTk7DKqhbGbk4T5zOGR7NODkM2NsLGQnJCnBt2Nqw2FozuLBucGFNZ3WpxBQwS0Af5dxWAT1pEvPg0RMy0+PWm1/FuD7K5wABAABJREFUaS2huU10cZpxm1W1XIK44HiccTTOOJlkHI2qVvZJjSR7ZVE8W2O5abLSMllrm7xxyePVCw5GMaMM+xThKWV4umj7DI9PePAo5dFjePhUY/fQJs/lXluyvRxxeWnGpd6US6sJNVfjqGzzsXGFj4t1HqRtdhOPQhTdpsV60+XKSpNryw0F3m8lU7wnjwjuiLr+AcnxqXqPztpyBdbfuqZae23lFxMo8lwp9Eff/zHj73yPZH8XnRBvJaO+7cIrr/Kg+Rq3y1U+nhjcPgyZPRiRPxphns5oOBmv30j5z740561XfHTHX6iup5XSObXoJw791GaQugzyBv28ziDz6Mt2Yikg9Jki1qDp2fTqHst1m55vqYx2aXs1iyApOJzG7E8SDqdSY05m6TNXLw2WXZ1uNKM9OqF5sEfr9JClPGJrS1SkL9F8/ab6fGQuI+sZxXxAOTulmPcp4zllNKms4KOFclzaeFEFCPzkZ6jukTZF4ZKnNnlqqloINh2VapyjojSWlml88Us0Xn8V78r2p85fZAywvzvhg7snfHCnz8OHQ/Z3xwyP58oRRIpZs+muNdjcbnH1SpfXby7x+vWeIt5EmSjGC0Jx+ZKxh/TTZzXK8md9abNcfaYVEJ+f75ft3xhgdq6Mr2INJMpkNBbiOLTbbbqeRdszaLuL6pm0PFO16jVXtuUYUwmjnrMoeiYa+SmSalaRBwTAXdTy+bZYEAuUxZiMwRLmccosThU5YZbkzOJcObnNs6JycktLJLY9ynXioqpJYRCJ42KhE6ltaX/efO1FhzW5n1Ugf4GrFzTMnNcaE95qDrnhjTG1sxgYWZgsFve+BbD9S3xjcs6OiwRfFxehM9ceS4HqCLj+PNB+BrY7rYqsYjer4wTs/h2KCFDfcRouAPugAuwX2+qe9DyQLw4SZ8eIW9kgQpfIvz5owZlN1eIHy71JiQVthL1ayv2qEJKZQZnLwFlTa2ZCsvwkIVjiWWV8VEhkhmYwLzVmBcwKnWluM4nlOawzDmGmnDALZkHOPEoVaeWFInGqnkXdt9W4ptF0aLZd6h2PZs+jsVKB7o1VX8XPShxHMBeCaspof8bJwxH9J2MGu1PGxwGJuOQKLU6i4XxZrzZAIsKk/ZSSZgl/9Vf/lsfj//73F5yXPNE33niD27dvq5P35Zdf5p/8k3/CV7/6VVZXV9W+w8NDvv/97/Mv/sW/4MMPP1QXy61bt3j33XeVqurz8tnB+cePH3Px4sW/6bf0efm8fF5+jk38eDEAa7VaKgvwk2WWBwqk34uP2T1vjzlJh+fH9KyWAuu3nOUX1PbNM5beb6kczE75f33rz/h3f/U9Tm8PMHbBTHWayzW++OZN/g/Xb/DKSQSDGcbNLcx/8Cb6RbF3e7FIhukH6T2+lbzDx/Fj9P2LGB9d58n+MbvtHzJe/pDCDag5Lm+2X+aP/W+yPfwis5O6ytK8fNHgsuTSO7/8IElsXA8+zNl7L2DwOGQ8yehHIaflAUGyTzEb0JhndJIp3WRGLxvRLIfYRBhahlVm2GJJKgO2wkUrHPTCRS99jNJHN5qURo1C1NOmgS75hYbkKordqVjMOljrdVjzKZds8p5N3jHJpPVlnahUE7zH013eO/2Y904/4iQcqEWPa+1LvL50SwHyl9uXmGUpx/s7zD98SH5vB3NnH+N4B+IpiZYw9OHJEux1LQ47HknjEk3tKqvFRV6qX+P60haZ6fBknPP4NCORgWvnFKf3GJpPCNhnFo6VFbMhiygjDXui400N3CnYc7DmBXZY4EQ5dpxjJ5Ir2WCn/iYHzS9jtZbZWvVYX7EV8N4RJfwCkPfrzwHwMlSZhhRHI0qpCoxf9MUq82xM36mjNX0FtlMTkN1d9Cvw/Wx/5tjEmk2UacqBYRqkPAj2eRTs8jQ94Cg9pl/2mWhj5rrkI4ZkyvTxTG340+dW5WyvDOgqG1f5r5JJnivVK0tmacXAfVE1A7M08HIdPzFoRAY1VXXqsU4t0qjFOr7qQy3WqCWyTyzVn/1s9XNlXGzqxK6hCBGpZ5C4JrlnEnom45rGwNc58Utmlih/c9IiVeqvQsvJy5xMk79T1GCynZBK/meZkuax6svxEksgtt/KvlkUKqZGYmZkkmO/ULPahU2LFj2tx6q2yoV8jYsDi6VhRPN0jNfvox3uUM4DZaeelC6Bu0lQv0C2tEmyscz4kse4HXFq93nq7jKzprimwS17k680L/KN1kX0QY2nD1OOjgQYzsDKsQTMq+l0WwbWzCB5kjM/iZlaEfdXd/le/Q6Tfob7tMH67Sb+fpMibCnltyEW9WZMpx5g3pgS/8GU9K0pjVDHHznU/Qbt9TaduzH2gzGFHRC1I6Z2wEE55W424K6V8KRuUtQ7bPYvY9ptCsekPbTo6Bbzno0EerbjU1YeRdQedODRqtgmUF4eUbxxQPHyI+aNEWFp8WB2jUmwSS1yWRGVTZFSLxxidCJK9kvR1hZ8canL39t6lbpdMZunecr35ye8M9vBKE/YNgOams7o4x4f/huTk48z5tYJx5s/Ybr1Ed1uRDNfomYvkWxoTJuBuucsLkJlo5mNCsyRjTVxYOZTTGtYWQ2XBt16i/XlNpurbS5e6HD1co/VXhNTiEY/w83k4fgJd0ePuDd8yL3xI56OdplK9vVMozG+RjN4k6Z1jXpnC8fzlBrWEUvoVKhRGr4L6+2CpVpGr5bRcnKyJOXeKGD/ZKTytM04ZqkYseEENJ2cqNS5H9f5OG2yg68sNVOV+1wiS5/SCnAnffX3V3KVxQLKcxmgi9TN8+v/TMkt67XidCKtqO7lX45C4sdDop0hhVjMt2zqF+s0tz1Mt8DQ0iqfVi+wZDElMciGJfGgQJfoh0xTrUDfLVmgW/Ho9UzatYJu16K17LK01cXrtrAFrK/V0T9lTPEziWrzgvunGXcOUx4/iEiPM5xxzkpS0pvmeP0EhqnkWyhLSr3IsPQYuwhVq8B7O8VvCzhoKrCxTAVgzFVfOSws7o3SVh+ndh4DKiYhqs1KFYkgpLcqSkMjzSVTVXJQdWX56qYRbhliGll172n4ZN0G+VIDVhvoa02MtQZeS5SlGp4n7j66Iny5Z31Px3GePWN+2SKf2fE05v0nE24/nfJgZ8buQcDJUcRUlAHz6llh6Tr1msnyisPmus+1iw3evNHm1WstWi3754NQYm8/Tc9B+2SUcvhhwP6HEYf3YoJxrs6vZhOsukZUMzh1HI4tmxPLJl38be0so8mMzB0z86cMajN2mzGpLhnmGltTm8tjl8tjR7Wd+GfMt88zBKq+kPjUs06evZamvgsFJKrngrQCbiz2LQxm1LqhelgvtIFnVgNy/clJoIvltKWeK+fZ4+cW5y/2BSSNSxmbZMRlTpynJNLKvjwjLhZtninVs1UTQou1aG3Muo0lFqqmrshohi7PY11ZOMuzWsZmsl09pxd1cYwiq5Va5WKkaYz6M05Oh5z2x5wOxpwOJ/THY/rTKcPZdOGiUH1eNd2hY9Zo6R5tzaeFR9vwacs+038huuSsyGKR9UmA/Wxb7OXVfhujVlk6Z5lE00icQGWPrvrxM7t0iRk42y/HirpEkRbELeATrdov2dxDjfTAJDsyyY9sColbkjdXT6EXUXRDik5A7iRKga7+bb54H+q9VL/rFxV5/2IlrqotRE1bKcGlbzuLbekvbMjlmWDId2iIA8+iGro6h3RZMIx0ilinlKzjSFoRQGrkIeQBhNOU4/6E4XCuAE35u+Vn1W1f0SSFAhi6AaFEm/gJWS0mrcVYLY3Gkk1n2ae3UmO511LxVF2zSc9o0tHFbctQWfGqSsyGWPoK6eKMeDHPyWdZRdqRGkhbkXjmQcCQOWMrYGzOGak2YGzNGTshEzdkYoeURnkO4Mvf3LUadN0WV3rr3Ny+wq1Ll7nS2cBcWMX/hxb5ToenQ4K9hPLUYPYkYvIwYPIoIJlULmSGZ9C85NG85NO87CvAvnHJ/5UiGX6ZolT3/ZjsKKwA/E8o7yXq5NdS5BZkfOKeJNXQlBLsU51JXONZvMgnwftFv7Lur1RjmhDExG2lLBmOpsoe/+Cwz2g0ZTyeMx7PODmeKjD+dC9mPqqcWsQZ2W+XNJcN1rZ8Op1GBeA3KyC/3X4G7CuQv13/KcLQr6vEWc5JUIH3u5MZf/n4gB8f9lWe9DcvrCqgvv3U5MG3Ry8A9Re/2iSuRXznJ/v86Pu7DMYJZd2h89IqX/76Nn/yjQ3e2PCUpfZkVij7+0c7GQfHOftHOeNp9awSvG9lSWd9xWB1ScfVQ7L5mEl/zN7jITuPh8ymsQLcPc9kfbPO2prP8rKjyL5CFMziKt/3+NEeex8/ZHTUV49Cv91g/UKbujhzJAHzacJgbjBKWwyTBqPIpjSekSEEnO8uLQD7M+B+qaZAfMc12Xs6YufRUDkeSCtAghQBHLYvd9m+0uHCpQ7bV7qsrNU/89jls6w1/aKinBSiCrw/HsZMTw6JTg8ox/vk0wE7cYuBtcHq5St84eYyb1728D5BRhHw5wy0jyfHPLl3yIO7Ax48mPPwcc5UmfwVLLczrmxkXFrNuLwSsVabk8YBT0OHx3mXJ1mbx1lH9eear+zXG47B5abBla7LtmewEczpnZyQPtglfLKrxitms3Fugy/Vu7SlXO7EJn/63keMBZD/9rfJ+sfoRoC/ljPb6vJ06xZ39A1ux22eBrZyJPP6c/y9EclBiqfrvPFKjW/8wRpvff0yfncNzesqcO/5z0+ppZVVemVzreyuVX/+wr55NOc0KBkkdgXiJzanicMg8xnkNQXijzO7yo7XDZquyVrDYb3ls95psNqqs9F0WGvYLNckJu7F7yE5HTB7/zazD+4we/9j0tFEfQ7iOFB//SaN1279FFiunKxmcxUxkI0mpKOx6qfDEVn/lHTQJxuOSIdjssmUUsZyZ+reIkczSuVyI1oiw8rR7YJsnhMdJZSajVFvUrt5hcYXvkDjq9/Au3Lp557fAto/eDzkxx+d8PG9Po8fjzjcHTM+Dc4jQ35WUWsUurjvVU5doqCV8ap8TqLAF6K17JOoTtM429axzGpbxosVJ/VnC0xf3PGzNj/9fcowUeIjXEen3fCxHVkn1LFsGdvoVVUuIPJ+nu2XMdAL/cUxn/y3lm1WSmC3alUc3W/RYUbFDxULskRWER+S7JPbxae+fjpPeHtvyiTK8S2dL2w2+NJWgy9daLJS/0TGurIvy87JSqJKryIlF9tKiX6mVF+0hn0OwKuYgd8hsP23XWSen+7OSW/vUd55TD6cUkxiimlSkYIX5K9C5l0UhEZKYOQEulSdwJB4S7OKuSwtZpnBPDaQJVtxz32hlIUi6NfNgoZRUNeFqKbRkOrpNNoetZZPrVGjVq9R82XM4kPukgfiBpepqDHliiZRY58cf8nQ7EyN37LPVflnKn1xP5uMIwb7MwZPxpzeGTLZmVbkbV9EKC3qlxrULtRxVjwKU2P36SH/9J/+XxlF7/7+gvNSnjx5ouztHz169Jnsf65cuaLs7Le3t39r7/H3uXyeOf95+bz83ShRkXAQn7CjFPbH54r7w6R/DqY0jRoX3FVe8i5wzbug2o7V/K28v1Ey4//78V/yr//i3/L03X24n2OGOq5j8qXNDf6kucwbzQb+K5ewBKS/svapP+c0H/Lt5Cd8J/kJk3lB8/ZXib5/iyfpPQ6v/BWTtffJzAE1w+Yl9xKv5l+mO77FenmFK5seVySXvvGrqUhkga5/v+DgJynTx7JYVgh2RtQJOG31Obb6HJ9ERPc0rF2T+iSjXoywkPdzSLMU4H5Co5hgkyjbObFoKvSS0LWY+HBag4NGwdNmxsNOzF6zYOJVi4xib2nrhlLgS6v6i20pq7VVNpvbdGqreHab5GiGc/eI+pMTukdDmoNj9GRKqseMPU0B8bs9k6OuR9DcomVeYa28yEV3m267ybQ7Yk8fspPOOZ5nihmbFQmFFi4YmKAHNtbMxwp8zJmHMfdUawYeFkalsl4sZkuWu4h5602dVsug1TTpNi1Wuy6rq7JIoePVPjF5lzz0wUyB7wK8KwD+eFyB8CLZlyILrssttNUW2nIbfbWNttZGWxLig0GcoAD3SGpcEoYF+8GQh+EuT+N99rMjBpwy1obM9AmhPiPRYmXBfOaCbJUmNc2nYzRYsttsuD0u+qusOV0c3cYWC9LSwZS/ujSxS6FkCHtURysNkWahycmSS2uoTHHZp6oATYWmACjJbJYINlWLspooGuJ0LxNAFNlk4ZB/vk8ynIUcrY4rUow4wYwj9ChGU44BC0t+1T7Xn4i9cPKCa4DWa5A2XE402E9TdqKUHcnJnEVEkkeqeRhaDd9v47ttbKuBafhoouMuTQWmKTetXCawJaUbMPb3GXg7KlJhUH/K2D4i1mJymRhRYuUWVmHhli7LWperSYerU42NUUZnP8E/mmD1ByqLXr6MorGEubENV29wcvUC77Vn3C6fsm8fKfRzQ+/yprPNV1sXuVaucvIU9neE4Z1R2hmGX4H1jlitRTocCWlEI2vG7G+c8E77AR9MHpGexqzc9Xjth9t4J8vEYh+n1VQ2Y2lpWMsZ2o0J5aUx3sqMznrG9laLKw/adL+foaUhWTchbYek9ZTEKzgl4/3pkI/rMaNlj9yuU2o+bmLSLVuUZYsicFh6XLD9ZIIpKqOZK7kaYJRwtU/x2gHpy7tM63PuFusczDYIpk2V0eVFD9kI8uoatpvKYeO4CAniIV4YcUHvcanRpdloEtQcbpsxB5ywZEzYMFKsucfR9za5928tZrsxc+eQw/VvM9t4h0umxyuTW3SdNbSej7ZahyWDolmQ13MmUcT4ZMR0OGIkltV5wFiPiAXMKIQqUI3xBbBr2D4dr8lSo8lap8Vyq0nLbtK1WlzyL3CptoVvVISCeRpwf/SInxz+hA+O3+fBaJ+TWUgamjjzq3TS12hb16l7PXzHp+u5+K5FJGCLZNoDS22NjWWNtZ7GaldjuQO2RHOEMcXTHYqdx+SjE8o0VtepYdXRlzfQNzZgrQsNUexX719sZoNQgJKU+XhK2B8QDEYEkxlFFpNLlnYmABYUmk2um2SaTWHoyoEiN3QKSydzTArbJDFNDnZCnr53wtGdgVrk7d5covfWGvWX6qRaqohQAjSKykNUH1kqhIOiEjgIiC0KFCVu0NW1pxWacswQJw5xA5BYa9/WqHkWzYZDq+3T6dbodHw8W9T/OteaDleaTpV5+Snzr6Npwd2TVAH2D04zZftulXBFg60cluMCf1oQHKbMn8ZEx4kC48skV4uXlar6DLw4y5h+tn2eoan6FcDxU6+dvx9ZBxDVbVXVZy2/K87Rygy9TDDyCCMOsLJQ7ZMHVuQYTD2baa3G1Ksx831mnk++sNyUX+EuQPsz8F4B+X5V/ef70i6A/WqfOCjIItlPf35BmvOwP+fDJxPuPp3xZG/OwWFI/1gs1FMKcU0RC2iJ5bjgc+lijZtXm3zhRpubWw1FQPpFRb6j0dOEnR/O2H17xsmdSsG0ctPj4tcbbH2lxtw0eXqc8/S4YOc4Z7dfKCW+ukZaJW5nTlKbMDbHHOQjTiTMVpxKLIebfpsbtRY3vDZXnQYWusqKPgMZq5pX22L9f75/ofhe7K+OX+wTcFLtX/y7xb6/TUUcF3RXR3eM87a0YUbMqAgYpXNVh/GcQTRjGMwYhrNq1C5COU1TINryUouVlQ7Lq21a3bqyTj/PIRfHmngBrivwfQG8L3LIpf0sILiA2BIDIK0s4Ipd9nkr47i5hzH0MYaeihYSwpAiWHRSjJUUcy3FWs0QHrAi6cli93mrVUQGQ8exq5iB5wF3BbYvtt3zvq3A91822/vXWYT8+s6jx3zn9h3u7OzRSH2Wijb1uI4b+thzB31uUUx0stmLS2i6qeF1TOUc4LVN/K5ZbXcX/baB37OwxTXlM/x9Z44KylVDgPt5TjZf9BfbYm09mE3pByP60YRBPGGQTunnE3btPgfuUEUlWY7FJX+NlzoXuLlxkVevXePK5S1FSvl1FaW2H6RMHldAfVVDZjtisVp9VqKob5wB9qp61DZ+O4vgivAkZKdB8oL7hwDqZ44g1X7Zx4vPJnVMdax6lv2C9ysL27JQrBaLp6laPFa/W/ap7cX+s+3wp69XpcCXRWSJFzkD8lsWx3bBx4Mx79855snDQWVXf3OJG6+tcPFaE3GdnUwDxqMZ40kF4o/Gs3NAX/YJWe75Ijb6Atj7vqvmIWdZ2KqvtiUbt+rL75PXBbw7O7YCvOT1ymFCgT1adQ9Qxy9ee/nWRTavbfFXu0f8+YNdHo2mtF2H//jSBn+0sY5xr+DeXw8VUJ+nJWs36lz5Rhs6Kd99d5/vfucpJ/2QzDJpXF3hza9c4D/9j7b40nad2nNgsDjbvPfugA/e7/Pw7oDdJ0NODyfKhUOK43ssrXXYutTm6vUuL7/a48b1OktdnXk/pf80ZLAjNVq0Mg8Gu2agmzlpNCeajZlPhsyHfUoSGvWY69dyLl+IWW1NcFydQGsysi8xsjeZmiuM59A/CRiIIv40UMSA58vSap3tyx0uXnkGxotd+a90rueLmokzn5B35D69IM59xvsP8wHFSED4A8rRAcX4kHJ6Uk385Bz121DrEpweMh1PlNLxJK1zpK9jr2yzdfUqL79+lbqMqX9OKdKQ4509Hn74lPsfV6D97k6gLP8dK+PCWsaF9ZSLyxFbS3N6nig9E05DncdBjUdRg8dxiydpm8NCQobkvCzZNCZcsqZspQFr0wkrJ0Ps4yllKc9nF3drhejxDrlEXLkJ/a0OT9c3eNC6xN1yg1EpFu0WFxqwJUDNXszx3YAk1Ni42OMbf3yFr/7hZUW0+HUWWXMpJdM6mVJEU/LRhEIy5cdzinFAPI4YTjJqEovZHKK3E/S6OK3IONteqHxF0dtWCl9dbbcW24u+ODTKPXv3gNkHt5m+d5v5R3fJwwij5uFd2iYPggqQV4D7i/co3ZbomyZmu6laq9Wo+u0WZquBdfZau4nuvuikIq4OxXif7PAus3ffZvbeRwQP9gmPRK0NRqNO7fo29ddfrcD6W29+pjgPUcX+5M4ptx8MFXlUIqxtAad1DRmqS2uq+9Ui4ugsmk2Rh2Uto1L7nu9X/aLiZ5/vWxAtP3ENfdZHmPYL/l013ylUrFImZDNR9Ka5Wi8StyAZ2ymy5OI15T4n44RMHESetZ+8x/+8IuQgz3tm2S2t65svbj/Xfx7cf36/kAB+089y+fzvnYb8aGfCD3enfHw0V9/ddtvhyxeaCqh/TVzdPkFK+bx8elGOVsdRBcTvBERPpowfTRjvzwnSjCDLiWriigqhWRJoBSLbCPKcWZopR4VMAfWZul9XhIgU28youwl1J8K3QupeRt0rqHkFjbpOs9Og3m3R6HZodNvUmrUqLsMUN2AHLSzRggykzmKYhDKwgfEUnnPkUQuirQa0mmjtJmVTbG7qFLpHXjqKhHs+FhtLnJmsh0bk44hSiHlhqsQtmgiO1MpVgS4mhqYQQ2SeFRMFkSLoCblD1jq9hondhB9+8F3+z9/9H3+/wXkp8/mc/+q/+q/47/67/47RaPSpx4iNx5/+6Z/yX/wX/wX1ev23/RZ/b8vn4Pzn5fPyd7uI6vwgPq1s8ZNjHocH3AufMlzY44uiQ4D6a74A9ltcdTd/47b40zTgO/vv8v/+t/8bH//wAcWdBKMP3cziC7UmX+51ufnlq2z9538f6+aFTx3Yyd/1XnqXbyfv8FH6CHP3Es63/x6j2x3663cYvvZXTDu3yYsBXqHRyJtsJrfYym7yVvcVvn5li9XlX33QqCyP9nIO3skY3c9IxkKB0DA7Bq1rBuuvi1J5yMO/3OX0uxOmuzCzHeaWxVwMmCX/NZ3hlmP8ckwtG+FnQxoMqZUjHOaV1NIoKIySoOYyabgMmyb9tsZRo2RU95jVPUKvzlpQ5+p+xsbhjNXjCe3hKVo6JtVixi487RrstC0OGy3G7hqmfplmsoZpOeSS22PHBIhlrLge2ZShhRbbaImJGTvYkY0d20rBKTEFiiCgmXi2SaOp02watJsmnZZFu2VSawrQUNnNS1trCJD8sz9rmeSVJ5MXFfACyMs+mQDK5MeyKJZa5N0WaadF0mkRN9tEtRpJppOKhVaS0I8nKnN7Nz3kqDxgoAnwPmCijwm0KbERUohv/MItS84BiSRoGTXlOrHudNl0l9n21rjibXKtvqUA+d9lxqycjxI1H0Us2lKi6RfbQkxQUfXE8bN+GIq99JTZYE44kYFmqizmxIrKFAWgqHzPF+B0NeA1xK5bMuctyRQW60YD2zexJH9cYuxNEBGGLAjI+5BEiPm8mtCefXyOAOONlMKfErh9+tY+R9YuJ9YesTcgcsZqvVPs8gVTc0oLNzPYGBjc2O+wcWSxdDin0z8U+gNpfZ3i4mvE167z4CWPu/4u94wdIk3UtA439Au85W3zprGNPnI53ikYTzNKK8Nq5WBnStlMWGJMRIWr01kzmV8a84H7hB+fPuLx4QFX37vIV99dojuYYsYZM9qcGk1O7AZj1yH2SnIvxboww7s4Y7PIubmvcUGUwhsZWT2vLMjXc7S6RmBlnBQzwlI8CTQiXRP3XUrNIclqRKmFdVKyetejPq5TJg7zFKZ9U7kYaNdP0d7a4/TVU+76FsfTHsGoRZm4mOYphvaE1WCFtWyTZc0GLee4nLMXH3G0v0ssxJ3jQPk2lBfXMW5usnGxzkv1QuVlB3fbHH1nnf4HDaI4ZLhyl8PVf0fcvI9tROozq0gmulL4awpJEoWihWv6ysrfkcgPsapUJ6lHVjZIDZ+osAhSUbkmpE5E7ofQDslbAfWOTPBNNrxVrtQucsW/wFVpa9sq3uJ09JSd4UP2oxH9MuHOyR7v7d5jPDOwkku0tVu0jCv4pk/LNbnQbtJt1JhPNfrjSoUgp5fkhK50NVY6KMBe2tr8mOLRffKTA3WR6LJmn9sYYlm3sgJrPTkY2o1PgMUlZRyhPZf7LnaYRHMI5pTBlHIyIx/NKKYRZZBQhIXMV9UC7+KnECQR7zya84MHITv9jHrD4itf6vHNP7zA9vUVtEabstYk1U2VXRxkM+bZXLXj6YTBSZ8gj4gKsX/LGY8yppOS+cQinJkEoUmUGhS6QWFKfrKu8sNVQKBj4psGVwydm57Hyx2fVcmrbDvU2i5+0z7/24Q9vj/OuXeSce804+GpqJFLRXi50jN5acnkSlOnHZWEh/J8zKtFQqXmrEB5tTC8aNX+hdrwhe2ftf9sewGoJJOcqC81q+ogO98Ojxd230LOiTLV6rmA9zGmnmEYKUbTQOtalEse+bJHvFwjqNeY5wZRVChCVxhUNQgLorBanPu0Is85BdZ7CwD/EyB+Beobqm97GrmfcxiEfHh/zP1HU3afBpzuh8QLe3LJdG6tOaxf8Llyqc7Na01evdTkQsOj4/xs0DIaZ+z8aMaT7045eDdQC/K9ay4Xv9ZQYH1zw1YEsKNhocD6pycVaL93WhFL5Me2uylae0LkTxjoYw7SsbKOF4DlpXqLy/Uma57PmuuzqqpHy3p2nvyqzzIF2IvTwsJaWtpK9fLMNrraV8mK1DUk288ftzhG9dXq5mLBVblbLjJaF+ePUryegXMLMO6FvvG8GvaZKvbsfDwH8J77dwqUXyhdf9kii6uDwYST01FVT0acno7PtyeT4FwtXqnIK0D7TEUu/bP9nwS9zzLKFSC+UKCfgeECyp8VcUU5vR8pi3qxqheyRxYWGLbG0kseqy9L9Vm+7v7G1c+/7pLlJXNxSApLZqE4JYkKtNo+70srr0clyYIHelbkKxUFbbu2qHWdVk2jaZe4WYEjsUFRTjbNCQcZgdRhpvrhMDuPv/gkiO+2DQX22TX9Wet/YvsTrXwfnxVYS45jxk8m3Hn4iDsHT7g33OVhfMChOVSXg4zpL1trXGtucmPlIrcuXeHytU2clV8vWC6OZALQPw/Yi9I+WVh0y3XT/ARg375eVxn3f1eKclSYLcB7qeKccBJw8HTM3s6Ig8MZRyczdk+mTGYxjmFwY6XJa6+s8cY3t+m80sW+2kD3zc90bkynwQuAvfQnkzlBEKvnfQXuynOvrLYXoJS4aKh954CWEIyrfQq8ev7fLkjuZ4CWEIgODgf4nsNXv/Iyf/DN17GW2/zFwz3+90d79MOIrWaNP7myxd9bWyf4OObutwY8+tECqL9e46U/6GJvlPzg/X3+6q+esL8/VQ5S/qUlLl7uYEwCopMp4ekMy9BwLJ2tC61zoLu32sb0m/QnOo/uxzx5krB/mDObFaRCGotz3CKjVmY0zYK1ZZ2LF222L7uYtkY8z9WzOjlrg4xoljE5njI5njEfhETziDyNWe6Mubg55OLGgKXORIHiQbbMINlmUl4iNLbQbYNEzyi0QqlkxUlNnt1noPo5wL7YFpLimQuL6i/2lc8dp7Z/ATCnQHpxuJFnl6nh2BEtb0DTG1C3BzScATVrgKFXbL4cl7BYIqJHpC0T6Usk+hKlKRFSOpaj4TkzGsYRJPsk0z30+IBCbLLFycVdUmD9+pUrtLYvY61uYsrk8OeUKEx5fF/IFac8unfKk/unitQgAwC/ZnDxks/Fix4Xt20uXRAiqlguxQTTIY9O5jwcZjwelzycWjwJXUnqUbn37XLKVnLKxuyU5cmQ00aHJ8uXeORuk1pNbNfnxorPqxttLtbqTO6e8pNvP1XOBo2Wy1f/4CJf/+MrikTxy94nq+tcyFVyjZ+RdhKKWUAhpBlp53PKMKQMA8pILKgjNE2Ad5mgJGgq7iRBtyoibCmk/1IcNiSKSUcXnrMLupuhSXVkrhKAkT2zL5Kxi+RNK3tuUQpLvEELzAbxSULwuE98NENvLmF12p8A3AWEb/0U4P4fWsosIT26z+zt7zH7yXvMbz8i3Buqc9n0LfyrG9RfuUHjS1/Ce/mL6PXl3+l1mr/pIvddRewWoF/aVMi5AuRnREGmiAxyjYVB1T7rZ5/YfvE1RWD4GUXuJwLSi9pfwHvHMxXw77oy/jR/5n7VV/uqbfe5Y21xFf05QPs0zvjx3pQf7kz50e6EQZDhGBpvbIiivqEAe3GS+JsqyvkmzBgEqXJkELcXz9JxTV31f5PnsHxX81lynss+PZgzEuB9Z8pkf8bkKGA6CBXAPpeIBwoV5aZcexxxdV1EvBmyvuso+3hpxUK+0XSrtuV+4jVXucXpqTjIzcnn4oQ4Jxsekw2PyIenZOM++WRENhmTT6cUaYRuFuiWOGxUcyndPmu1xT4Do+ajez6ZUyfL66SRTRaZlIFeremFIgSUyAbx/9TJS4mdNdWam1nkqp67tQnZ6ixKdBFJVA1aqjYrNbJCJyt1cnHwk1gGiWzINaIMwkxTooX/y//yf/v9B+fPSpIkvP3223zwwQcMBgO1r9vt8uqrr/LFL34RW1Z+Py+/Mjj/Z3/2Z6yvr6t+rVbjxo0bf8Pv7vPyefm8PF9k0hoLaqYALOczsUJ/1TJIx9wLd7gf7nI/3OFBuKvU96IzFAv8lwSoV+r6LS4ImPsptpq/jiI5wz/of8S/eftb/PCv3iX5MKT5WGcpMLnsOVzY7rD9j7/AF/+P/wm93k/n0ks5UWr6d/hu8i7jWY7/7b9P+PZLzIqY+au3md96m8TZxc4C4vlMqH54eYvr9sv8webL/P3Lr6p8xv+gv+MkZ//HKYM7FUhQiJ15Xadx2WTtNZOli2Irde58rFpRy00GBZNByXRYqDobFUzHJbNBQNQ/JR+fok1PseIhbjbAy4cKxHeLyWI+JUhTWVmQC3PRsDmwlzi0ljjRNzjVL5CWSxiarRRMkpcqlpe5UZCLFfmZM7MpTHpROJhKoS+ZZisNl+2uz0pXBmH6Ocj+POhuO79YMfJ8Oc+DPx6THY6IdkcUh2MYTtWkUsZAmeMQN1uEjRZBo8XMbzL0XQZuxpwZ03Ii/2dcDhjpJ4yNARNjxFyfEOsRuZ6RC/iu1sg1LN2iYfj0zCYrTod1u6ccJC5661yrXeCit6b+5s80oB6POD495vj0hKOTE2azabUYtVigOjvuk/2z/Hi1X40Bq+1qkUonzwxVi9wkL8xqOxcShyzMGGSZ7JN8bznOUscUattaVPPZd1n978VWE4V8DJrcX8T4PKFEMocrRWm95tDrNljqNVlZ6rC60mWt28bLEszZHHM2w5xMsSYTzNEEfTjGzLNn53O7htZroveaSn2v6ka3ci+QBIIpTCYl4qRYtSWTCaqVfUImkM8kKlPiIqbw5iTeiKl7wsw9JfPG5P4Ep5ZiejEpAeF4yq0HDl/ecbm4N8KdSY64y6xzi3D9Ffovr/PgwpRH/hOOzL4CZNfTVV7Wt3nd2GZ53iE81dU1WFo5Xi9H9zJltyuZ50IM8EyD7ppJbRP2tBM+PNmh/+8NWg+X8OZP2Z7e4frQwMo7DI0mp80Ox3aXA6PGsa6T+aX4eNKKE5aMGGdzSnZjyGrs8dJhl9amSf9WzHsbx4zMAK8wMLMMp0yp5zqOWLUr1nGEOc2w5yZu7qJnDnlkkUYmWa5TNGPGm3P2tuYcmSZ34yazuIZvlFxphrTJCQ+7aJHHkpGDnnGqBTzWJ4yNMU4asS5BX2NxJ3HRei4XehoXnJxiULD7v9cZvLNFNmlXajIrw/ECOu6MZXuKU5tS1mek7Ql5c0ziTpBwBLGPlnlROPfIQos0zigkY17+MxJizaKIOujTFczhEtrxErGA9dun6C+fol+ekjRnGIaAkDqrzhJXa9sqqqWTGSxpPpvNiyy1LjJMp9wdPuRHj+7w40cP2ZuUmPkWDfMqrtZR2fBNL6bXM6iLOrRwKUOf+aRJnlXzC8+BlY7GWqfggn3CUryDOz5ASxL0zESTTPRxQJ4EZHpGVsRkoahIhqTTUGWv6fUmeqOFVm9iNKq+3mxhNFvosi39VhNdgHzhNswCytGYcjihnAaUs5AiTNk/CvjB7SE/ujdRMRvtGqx1clY7JatLLmubTVa2Oixvd7HaXag1KfwGg/2E6cEUt+mwdGMJ05MJ5YysnJEVU6JkwmB3QP/JjNFOxHgvY3KUc4DNvlfnqFVn3KhcC2qjgNbxlPbxjNY4odb0qLd96p06jXZdgfa1lqvs4ue6xUlpcpAa7CYGhWNRc3SuLplsSpyEsoKU6O6qFbtIyXJWdpGL/Wfb1XFC9JH797Nj5N/8KkVARQXYnwpwvwDtD2PmT0KCvYjoJCGd5gq8F7W/FNPIsevgdgzsVlWdroXTs3CWLIyOQ9m2KZo2sWURJto5iB8EFYAfPAfqq9fOX89lTfi8CLlpc8tm64KMeWw2tyxKO+fdByM+vD/hwaMpe08DxsOEpCiqHPElk9qKzcaWz5XLDW5ebrDd8tiqu2zUHKUOOitpkLPzozlPvjdl750ZeVzSvugokF7A+vb2M0BdgMuDgYD1lbpe2oN+BdgLYdDpzimbEwJ3wrCc008DQlFJLIqjmXQtj57l0bX8qm96LFkeHdPD1a0XiA1nmEH5U62QPVJavjhdODT83+yi1d/losC5g5T+w0hVyYvv348U0GP5unJfWH3FV2B876qDIRfl70hRoLOIacQVKa5AdwW4L+rsU9pFXPd5EQBLz3McrcQUu2O5xlS+hhCoCvJYgLqCRBwhForqUpcYharKop24ZmZCdVMgl14B7p5Gq2Eot65Oq6pLHZNeHRpaiS05nLMKsA+HOeE4Iw0KBfQl8+fbBVHlOeNbtV4oi4lyb/QNDFfH8BYuDa6OJlUtqOqUAmrbOvUlk96mzdK6Raup0/Cq++roYMzHdx9x++kj7pw+5cFsn6N0oEgvXmFzIV3iqrfBjd42Nzcvsrq5QtzUmGtC8AwZnMyYzSK1ELu03KDV8Wm1XZptTy2wf9brNh6mCqwfPwqYSvswYLYbKiBWCCBrX2uz8Yc9lt9q/a0G6gX0ONybKPBvf2fMwe6YvafjCoh8TlG9caHF5nabmy8tsW25FI/mJA+mJA+nlc2sDNXWPexrTewrddVam35FNvodKXt7J3z7u+/z7e98oIhHvV6Tb379Nb7xjdc41jX+4sEuf/X0kCjLeG2ly59c3eLryyucvDv/VKBe5tw//niff/eXT9jbmWB06xQSb9apYS83sRoe7USjPc+pTXLsUYp2mpL1E0X2lbGGEGL8LR+t65HVXSLTYpLr9J8T6Inr/81rFl//osMr18Uq/GdbWovL0XBvxJP3HrH30Q77d/YY7x6w4s9Z7wZsryb4XqkUgnPtEqP8MsNwg0Jz0ITtrJvKZlxViVaRubw4kQjhXWUkKZRZxayJ25xMXiRGRFkMq7zljELlMMu4IyPPUpy6z+qVC0oda4SnmNERZiz1GCs9Qc8rO/CiNEn0HhFLhPQIy2WCvEuS19X8tSIHiDhSsrHlV0rkSUmm7pc5aViRHOT+Ke/RtUa45jE154i2d8pyc4Cly31MJ0h7BPkq82KVgDVSawnLtbCEBO7pWK6BJSRHcd3b8uhe8NC9kt2dIY/EyvzBQIH3k1EVbdfqeFy61uPS1S6XrnW5eLVHs1WJT+Rv25vEPOpH3O8HPDwa8/Bkysksot1o8Opmm1fWaryyWmPLN3nvR3t8798/4uP3j5Q1+Jtf3uIbf3yZW6+vK2vwn1fkd6W7+wz//D3SnX1cLUZLI0oB2SV4/TmAvQLdU+RkPCcNqsHwgiQo373loDleRQb2fDTPQ/MFWPcqQswkUiTgYla55RWy7iIkmyitXKQkl1sTK/kczZbxZAayBmQWaIZYzueUmjCHKwt6cT6TrHABpmTNSTNMdEtIyw6m42J6PrpTR3Mb4DbRvDaa26bUWqA1KVOXIrGrGBkZ+86zRZtSnm9n6m/8NKtp1ZeIj5asdUyZ/fDbTN9+W9nwhzvHCsQ31TXbpHbrCvUvvIl3/Q2MpSvoXovf9/LbXBv+ZYu6v6Uyt/k04L5q4yh7oSpnJ+mHst5ytl8UyVVf3AB+URFFvlL3+5ZyEun2fDpLZ20VEdLp+dQbNk9GMT/cmfCjnSkfHs2Vhf5G0+ZLW6Kqb/DGeh1XJp+/xiJOjYfT5BM15miaqCpk9p9VhEgg70fAencB2j/fF8cHMy8wshxdctzzHE0+M3HnOXOrS4QslhLOhJyUMJ/EzPuybpYsXhfXMrG5rMQKrm3iN+xqTt/zVT57faNGbcnDr9vU6jaea+BaJZ4prnmZctTIw5A8iMiCUNVC+qFExUQUYbU/j2JVhZS1WKZURXmTChnMddF9T93HhOCj+y6ZbjKPMmZRyixKCJKUWVIwz0tCDELNINRNAt0i1EzyszHmgmt01mpaKUGFLBOxQcyq6qdq3JuZGrmpqyrxn5mhkelSTXLdIDVMUt1QbpmyrxRnkUoVoIQo0pYSOJHrKlZRCC4/+dEHfO9f/d//9oDzn5ffLDj/L//lvzw/UZrNJm+99dbf8Lv7vHxePi/PlzAM+fM//3PV/5M/+RM8r1og/20UmciJFf795wD7J9GBmu6JSvqyu6HU9WeW+CvWL88Q/kUlyhPeHtzm39//Id/69z/C+35A846GFVWLXPalGhf+45t87Y+/wis3b9Go1X9KTf9ueoe/Tt7hdvwE7SevoX/7a4SnPuGlXZI37xJvPMXWp7RCGA/GHIcnCsC91rjAq73LXG6tsumtsemuseoKqP3LD9jicc7huxmnH4lqTzI2SwpbHuLP1FvVinT5M/8rBHA3xPK+UEC6ZB7P85RTbcygnDBNpxRhHzMY4QRzEs3msNEm8ds4roNTtzAbJkWjIPICDE8kyAU1x6Kh1TDTGsWsQT5u4GcttmtNLm/oXN7Q2F7TKsvnX7Eo5vZwYUV/MlY29ALEp/vCiozV4r+I4UNH1Il1hg2TYduk3yrpdwqGbkDAlCkTxuWQYTkk0AIFuAvwLqCYKN9loiqguuSxeobDktlm1e6y5SyAd3+LbXeNJbv1mb9Hybg9OT3luC/g+/EzIP70WO1XGbiLstpd56uvfpMsM/j48WPSVKcsBXiwKfKqLRVoblHmZyC6RVk835fXq4nWC5/44trSJQNYcpRVlnKOaUpbYJo5lpUv9uXYVolpF1iyX1qrxF60plTDWNhPLixqdbGWdVhfW2dzbR3P/eXuNWoBaBxQ9CeU/emiTihPF21UfU5a3UW/vHpetY2eYtx+soi6/9OAe2lPhimnI1EJJ4pAFBcJkRGQLe8zX3rEZOkBc2+XjX7OWzsmb+1YbO1HOKlLYK0zbr/G8dpVntx02F3dY6+2q5QpjbzOpXiLm8VFrobrMLaIpzLeLqmv5LhOpYCZhzmZVWDWNGU/W28YpGnG/kcp0/s5e+UOQ+uv+dLDjC/utWhnNfUZFw2PfmeT4ZVtRis1DvcjDm9HCD8oN6qfKdEHTmThaSVJK+V4e86sl2A3LXXt5o0Q215MyGpjrPZjWvmA+u0S87Ckm7dZMVao42OYJUYthuWAeSfhYS/jTlnnftxQk6I1f8r11hQ/8Zkcd7FCl4YM+fWcvpZy35hy6AxJa1N6bkZP75EnHfy0ZNtIaMvT4GmD+YM6Owcme6cW0czCmhrURxr1qUYjKaiLlbwstjkxhR9APcJqJdRbOY1mgV/3aeoNmrlLIyow84TMDJh0hvRbfT4a2jy62+L0fpNwWpL5U8Jbd7FfG+BdLCkcmGqBWpSUhcY6Fpv2Mrfat3i99zpX6hfp2m21aPB0ss9ff/gRP7x3wM5ILMlcHKeL73SVwlk4ObkxpNDHKlNS0xIVC+EPExrjgqV5ykoQcDkZsjQ/wY5nC6d1HdOpUZRNRtEKR9NNprk8L2JM5pjlHJMZZjnDKqaYxVRZoz1fCs0i0xtkhlRRw1et7Etln0QoUCctXQ7GY8bRKZk+JdED5rJwqsfostCW5/RqBattTdWVjklnrYfZuUC91aC3atLarKM1xBqggWb+dJZskcsi6oQo6JNEE4bTOe8eZ3w01rmX2AS5hpmlrIRjliYjmqcDyonkrurEM5N4oiu1joapCF6UBklukDsukWWRujZa3VH3A3VPaLroDQejIa37qfeETytyV1QZj88B9mc44RnBXf09FQn+fL/iRKmF5udef05Araa+cYExKzCHKbWDObXjCLcfYU8znATMBLRUQ8slW/1F60lDLzCdAom8s0TVKsQ1AfPb5gLMt5X61F1zcFddjJZDZtuEYcnxccrO05hdsaR/GnN0mFZOIzqsrQtgb3Nh21Ftu6NxeBzw7t0xtx9MePhoyvFxpHIY47JE7+jYSxb2ksnqlsf1S02+uNniiytNNuvuuSJ678dznnxnquzvBQwUFb0A9dtfq9O7+tMqWXlm7/dfVNgLgF99fiWplhFqIYEeEerShoTnfSFNPVtss0oLr3TxCg+/8PAKd9HKtouh/KPl2s4ZDIaq3+12sC1DqZPbdY1WrVIq/5Ry2ZcYmN8d4Ol3scj4c7ybnAPx/QcRw8exOg+k1JZMlm5UqnhRx3e2ncoV4Ff5XaKsjUvlbJFOC5JpTjoTu0gZ3FSqqiq+Qq0rEkvNSuXgFKlMUU0tYspwQm2nGmH6bDtMUVWtc4otraZR2JoC0OU6FbDd1goMyYxXzM8CBGwXy9ekUErXOKjG6M//ifL+anWDRkOqTqNpqFqrCVFSFL8FcfSsFXcN6QspZzYvmM9z5UykYjdUVFE15hXezzORmcQWCQGpxDUFtMrwbFEE2uiejVGTBUtXKWk5c50S3C0t0ZKqCiNA+3k1PevLPWvhNLEohW9Q1kwMuUeJzX7Por4stvtgeilJNmZvd4f93T2OTk45GU4IpgKm6OixiaOiiCw19m55HmWZEpLT6LWU/Xoh/5UlhqUpy0+pTt1A9zTwNEpbI7MLcrsksUSdlRKUEpeSEKYpobRZQixqqzjEDiQ2pcSNNBwh3K7WWb7UZONqi4bn4CjHHgfXtD+lL62tWtU3LVzDxjasv1HCj4AXB7sVCC8AvADxPwuEX9moU1+1cJdAb+dMyznDcMI4nquIoNVah9Val7VajyWvSXmUVED9Wd2Zq/NHs/UKqL/SwL7WwLnaxOj8zYuf5F5x994u3/7Oe3zv+x8xm4dcvLjGN7/+Kl/88i0+nM75iwd7/HD/RJH0vr61yj+4sslb3SV23h5z968HPP7RWF3XZ0D9+o06o4OY0ycBh4+lhgwPI5VXnMg16RvELZOoZVJ0LYqehbXqsLzisN6wWG2YrNZNVupV2/V0JtNS5djvHea8/X7Czn5Oo6bx5TcdvvFFm43VX0z0lpKlGUcPdlRm/d7tR0wefEQ9O2G1GSpyqOPZlZ22ciAQ0P3MPlucBxYRaItWxABV5dP7xbNtTUAGTSMNRnRqBWurNfxWHa9Zx+5toLXX0dvraK111dfqPTVv/HV8vwLQp2GuSE5ZlDMap3xwf8ruw6fEJzusaAdc8o5ZdwXAFxW/qYD6abLCOFpmFCwzmdeZD1LlWCBFLt/Wukt3y6UjddPFaMA4Cjg4HPPkwYAnD/pKLSqlt1zj4tUul18S0L6n+n7t2fkfpblSr8q98uP3DvnuXz7ine89JYlzrr+ywtf/3mW+9PVtvOf+zfMkr+lRwOThLuHuU7LjHcqjp1jRoVLwy+03LRyy3EG3xXHGx2n6eN069bUmdqeOXvfRGnU0ywXLRbM9MMWtzoWz/n+A42MxSsmOQ2VbfVajo5Dj44CTIGOoF/S1krENU0djsgDsTSvD1hOcMsQtQjxC3DKuWmLqWqSqr8V4WoIu41GVzHPWyhvQKHNRLNvKat8wXEzLxbZ9DLcOep0iapDPXPKpRT4yKLNPWL4L+W0R5yHAveaVxOPHhPsfEu7dI+kfIb7VZq3E27SoXVmh/toruFdfxuheRO9uV+SBTzifIe4SCrAslJuBqgsA83zfJ9vzYwp1XzXXPaw1T7W699nuA7/ra8N/E0XU3Un0DLg/A+0VgB++CPKH85RhP2DQD1QrVSz+z4oQaRR4L8D9Uk2Ryce6zm5ScC/IGGgatmfx+kJVL4C92OH/omtM5lyHC6BdQPczAL7aTlQM6PNg+2rDZtU3WXKFvKzTdQwahqbuSxNRss8S5vOE6TRWrZAazmokBIcwJZEaZVVEwWI+W7XV2E7NG2X+Yxpo4oIlRB6JkTEMSmmtSqCleTIOM9A8E11cr4TIKQaI6sEiRFAhckkrBK+qFWLXz7SLE1mfYah5vJrLq75x/ruf7TvbXuzT5ZiFWu1nFFPXqDsGNUtEFYaKqpH0U18rcMscr0jxigwvT5SYyIlj3CTEi0OcKMQKA4owIJ+JYn9GPg8oxM1QzeEVen+O5Av5TeIzzHoNo1HDqNUwpZXtul/tr8u+ulLsV8f4544hvym38t84OC/MH7Gv/zf/5t+ovPk8z9nY2OCP/uiP+Gf/7J/R6/V+k7/+71z5HJz/vHxefn/K79oALC5SHkf7C4X9DveDXY7TytWkYdSUDb6yxFcq+y2aEjT5aypJkfLjwV2+tfcO9//sHdp/GTB/mhFIzq5doi9pNF5f5ov/0Ru89uqr3Lx2/QWA8TjvV9n08U8YPehgf+sPyZ6sk9UjgtfuEN64h1EPuWjWcU8t+mIbWhww0o7BTJU9t2uZbNWW2fRX2fLW2HClVuB906x/6uBtVgQcFX2O8r5qT6cTio9rWDtNMiNXoFxuCuCeUwhD2ZS8OrETk4FB1WZGxqycMCoGjLIBw3zAKO8zyYdKHS+L4bbu4RlNXLOBbdaVV7hM9ATIMw2dNbPFutVm3WhTT9pkpy2mB02ODmyVMes7cGlD59KGpgD5Zu2Xn+xJXrmA76KCV0C8asfkJ9UCieSPpxjMaw2mXpN5o85xM+eoN2WnM+DAOOAgP6DQM7W4L1Uyww0ZVAqrUbG7S8wFAN8y62w4ywpwF+XsmtNjze6xaveUJf1nnbDO5vNz0P3w5JiDoz7HJ2OOT8TSMaYsXShlsFWj4S/hu108R8CBJoZeQ0PY6Y5aeH3e5ed5NrOcP46jVRbuqla2789vn/VtW8OVebf906/9vCiA39VS5RJGFDunFI+Oqvr0RA36xQpf215+BthfXEFzrM/0M+fzZ4D96WnBx49CHj/NmScpqT1n3nvIYfdDjjsfU5hH3NhP+OKezqtPc7ozA50a8/bLDL0v8nh7jQebMw6XHzN3ZgoQ2ozWuRRf4Opsm8akTjaTiZ3GynJJrRB72oRYL9BXxRNdfAgKElHhDUBSQlJzzlP/A/qH9/jCOxlv7DZox46yySpqNvbLF/H/TzdV1vjw7pj9x0fM9mJiURnnPllRI0xM9sqU+42EeamjRw6FplPoJbpYFBY6hZZSNiY0Gjlrjo+Xa4TZmGQ+pTOps5U0WNua0njtEDZnjDsJjxybD5MO+7mHpU1Zqz1mpXaMGM5b4wt0Zi2aqUeOzdDQeGJEnLoxmT/HdCfMygw3abCpWVw0oG3otI0aa9Ymp0mNd6cGPzkNiIclzaHOxZOSjd2c3k5GNtaYRxbjzCQQdwQyQlHy5LnK9O7UHZZ8h65d0HUTllfH6Nd2iZYmHDxY46OP2zx+5DGLCxJ/zOTCbZLtR6Trp7R7XRyJ9tADRsWIQtmW+vScLpdr20plL3b4V2uXqOUu/5//5S/YuVMShT36x8fUvQlrLXEWmOEHE9xJHzcYKcVIQUJoFvTrFic+HPgZoWtx0bnExuhN0p1LTAd1BTCYV0b0toc0zQhdEBixTpebmLLQl+9NhQdgqjz0DDNPlbW6nsWYaYyehuhJiB4H6PG8ilk4P/kFyHAptCbx3Gc2cUgzl1hzyJo2eccllizTMmMwS9g/TQhSvcpFLCRyxGe5pXGpOWWjnbOy6rG21aW91lY2+VqjBbUWNNoSNPjCfVSB9lHI/f6U9/oBH4xCnobVxH3DTLnuxFz3AjacEXEwJJwMCKchySQkU3luBcVUJ4pc9otlxmObWb9EYuiq67pi0rtNA1fiDJS1s4XbNrFbNk7Xxm5ZWE0BqyyK0lB2crlYy4mLiPDdFClgQTySz1o5wFRV0+S6l6xR43zf+f4X9snPONuu8ifPYu6jtGRvnLMzyjmaZJCUeLOE9ThjNclpRxn1IMOaZaTjXFn4JzMBIUvSQBRl6k2+cD8zjFwRqSRKT4mN2uB1DfwVHadnMtcM+nONk5nG4QgOhhBgkpomjRWXjUveOWC/vGoynUY8eTLnzoMJHz+YsLMbEKY5oWQDWpLXqdPpOdzYavDGlRZfutxmbcWj3bQ4/iBUivqn35+p911bthaK+jrLN72f+VwVgCOIxHFn4YwqO8/FC88+QxUBlCUcRwFHScBxFHIcBxzJdhxwGkfkz7IdaFuOssfvGBYP7z1RpI/NzSuK1JYkmqpRpBHFVSuqBfWfRLFoOjXHoOXqtDyDTs2g7Rt0/arfq1e14RrY4nLxt1yJL+feaCc+B+EHj2IGjyIFmEtprFt0r7j0zupVF6dh/NyfJ+C6gO0KaJ/mJJNqW/XPAPjJYv80p0hKpVSKEgGzc2KJLJBreMFRPQOOzos6ac4INZU71GL5rDq9lPXkopzbUT47XtSckaURexqJC7GqGrlbUhO1eE2jXkPVmi9tSd3T8FX2JdS8Es+RnEmxhq6UqNW9VCyjc/K4UgGdt1KThCJOyKQmyTkYn2QaYaITp2J7qZMUJmFhMctspqnNPDEIMoMwlQqpiBVF+aQAfQHVZDHTRJfFTFNaE9OuYl/8WlXrDamWIg+02hatlkmna9Ht2PSWTBp1s4oryODg0ZzHdybsPJhysDOjfzRndBIwm4TM5xFRFlcuUOqxU+Wpi9W07bmYdQ+nbaF1E9LWlLl/wtg6ILam6KLOnRZk6oFnUKaGIqSS6RTiiRrrqpaBhhbpi2qgKRuCKr9c5ZJbulLIW56J7dkqdsHzXRXDUJgaYZkQRRHxZEYRCMsxJrcKspYGPQ1DhJp2imZkipQqhEU1LFdVFJ+Lk+h8TVZT4L1nOtRtj4btU7M9mrZPXdVqn/Qbtrdon+23xA7tPxCEF2J8WuTUuib1FRNnScPo5BTthKg+Z1LMGIQT5kn4ws80dEM5vjWdGsNooo45v4Q0nWW/xWqtx2q9Au1X7DZLI5f2gUX9cUn2cE4+rABLo+cowN5ZKOyty/WKFPJrLHGWMEkCJvFc1WkSqL/pSmeT690X4+skI/nd9+7z7e+8z9vv3FFZy6/cusQ3v/kaL71ymW8f9PmLh7vcG4xp2BZ/fGlDKeqv1Zo8+tGYu9/qnwP18mObq45SWfe2K7V194KrWrdefX9RWnA8F6VjxvEs4+i5ejrPz53QhEy0UnsG1m+3Leq5weN7BW+/lzCbl1zcNJSa/ouv2dT8Xw7UnpwM2Lv9mIOP7hLu3VdEM8sysGReby6qZah5obgKSSv7pC8CeyEtnLeK/KTwGaUe1LXqnqYVOVkSc//xHifi8pc1eXinz3iu0dpY46Wvvsa1r77O1q3L6r7z2ypxWvCTxxE/uBfwk/sjmvEBN71jvtA+5ZJ1SLMYq+M0YUC218mNNrOoxmTiM+i7nBy6HO0ajA+zcwxJvt/OhQVg3yyZFxHDYMbxyYSnj4YK4JOyutE4B+qFCHP7/SO+95ePGA1D9do3/ugKX/2PLrG0UlcA/PgoZrQfMd6dEu7vkZ/soM/2sbMjZf+vy802K4jmdSazLn19lf3WBe42tjhIPGrzDHeSYolrwyDBEBKTruH3bLoXPZYv+2y8VGP7Zp2Nyx7WL1Dmf5Yi47XjccbBMOVwlKl61j+diNNCFRlk5AVLJixTspRmLIUpvWlCdxTRKmVWpBGZGpFrEXkmkWMQ2VUNDZ1ILwllPacIJaiLogwhD9AKiUKLJAxBAfoe0o+Ui4BHokD9lhHgmdmCrAaeJfbVPuhCMG9QIk58bXXOFmmTIvAqEH9qUoxzilDO54hktk88eUIy2SGL+8oh0LDFCl1IARaa7qKbkmVdR5e1PKOGYdfRTA/dcFTVpMqxnzZGlGtKstTtBeBpaZRRQT6q7qdSjLb9Alh/1jeWxTFN+71eG/5NFEU8SjOKSBweIjWuEuV1tV2Ns8768rraF0Zq0OesreBcWMfdXMda6TGbJgxOK6D+rK3686o/CM8BfAHZA1FjWwYTuVl6Ns2ux81Lbd681qXhmxwNYo4nEafjiP4kYSAAepBSZhVwrecFnsRj6uDKmEJEbaVUMRur3JfEDeAXQay2I3FntnIzEUcAIQBJ69eEYGjgFJqqdgpOWmKHJVaYYQynaIMR+XxMnIcE6YwoD0nFgcMWp8Sc0hCnDKNisy/Ov7N3o1tmpVr3XAzHVip2QxTsrovmuxieq5z+zlTtCox2HUw5zvOqfyPin8Wc+Swu9Dkx+/l19Pzc+vl54vPbUsRpTwB5+9dw7/u0c60Qpf8sIJ/OFHAvNvu5bJ/35+o1dYzqz8nmwacSFGQdX4D7SIN/8T/+K/6f453fH3D+3r17/MN/+A959OjRp74ugPH//D//z/zxH//xb+ot/J0G5//Vv/pXrK7KqvLn4Pzn5fPyu1h+l62Lzso4m/Ew3DsH7KWd59WigaiW36hf54v1m7xau/qZrMI/S8mKnPdG9/jJ7R9x/L99QPGDKYPdhFGYE5sFtCFZ17j+pcu8/vqrvHz9FtcuX8WxbbIy4ycLNf3HT2cU33sT/fYNdGySl/aZ3rhNsLxH17NZ0uvKXnsWBUyiKUE6IconpOWUhClJGagxjZroGqYCgSzLxbAclcddCCPRXNjHy3eIja+51HQPF2ELV2zsKh61JCkyonRGmEidqholU+JMWH3Vo9gyHOpOi6bToeN06Tpdeu6SIge4momjWUpF0tFrbFptNkxRutbZPdR5vF/yaL9gKtFiOmytaFzeFDBeV7HJnzWnUqngFwp4qcWZIn4SVpZWgle4PkG9ycRtMHaazOs+B62Yk/aAgXXAEbscZUeUeqZUyzWxQpPJnCZWR5U7g5wvy3ZHnUdrVleB7mvSV20Pz3A/0/udTKfs7gtAMefgMKLfDxkMQ8YTYadmpKnksbkKhDe0GrblYFk2tmVhWzaWZak81kbDUo4NApz7ftXKtsyLpDqOLPylCkRvNCTHVT8H1WWx5PPyrJRZTrn7HFj/6EiRO2Qkrm920S+tol9ZQ7+0gtb0P/PPFYLE7m7Jo0cljx8X7O3JdZWTuCOm3Qfstt5jr/UurfCEl/dTXt6JuXgQqxz7qNllsPYSB50bPFxZYtAIGDRP0YySTtxhebLG6niV1f4a9chXNpZdL6eRFlhFibeiUbthwFLJ4aOco6cpmVFgN0tyP2YSnTA7OGDp/oxrj3N6RwnkCbHEQtxcx//SRfhCm0fWUwZP92jv2GzsttXvEqHpcS3lR8tj3l9JGNl1pq7YChrYYx9jKgCt3JsGuKHJ0myFxnwJbVYnCsTiLGY1jVm3YjovH+C/dkzeDenXCx7Q4MfxCvNMo57uUzce0V2eYjkFXuzh9VvUoiUMmsw0g/t5yNN8rggATVG4tXV032HVdLlolmyZGi3dYcNZIyk73JtbfF8Wf+IYU9N52fJ4M4Av7IW0702ZjSEobOa1NiPTZ5gZjMYF08Oc4LjEjKHnJSz3Ano3+rS+8ojcFNeBZZ7+aJMnD5pMU42yGcC1fUaXP+SodZuMjFwWeZo+9XZLkZUIp3jjOa1xysoULs09tmYW3bkopUumo5TJpGCQNIncHo0b23Reu4R5eZtTZ5WjzONklivWevYghYcJ5Z5EiCToW32WLj7m+uYRvp5zXIaMJZZBK8j1QpGNhGAkbh9xkRGXGUm+6BcS3yC2/2m1/zllsUxQ3Rz8FPykVM4FfpLjpdAuTJap05m4+H2wxjmG5KgX1UqsWCqbroAcBYVrkds288JgOC4YBhqT1CDTDJLSUDZttZpJSwDMtk3LLZBLr1Z3VVacV3exHItSlFai+08SlXkZzQP6oynj8ZT5bI4ehyq3TRYmPAp8vRBMp5r666XKsi9zudZR17j2+kXSq1vMM4vZIGPez5kt6nywaPsF4fi5qBAFaIPf1ahJXdKodTT8LtSXSpauCtAoZC75NwIRSf3VprNCoxD1v7gAaAvQ/gwalJiRk2mdo0mdo2lDtaczcVCo1juW6gFrTalzVptzlhsRegzZ2CQ71kkPDbITnbSvkw1M0qFOOnRIRi5FZECuwlwx9QLbiJVSybZTHCtVrg5lHqtFHsm2m2YGkWaSiNWtb+MvuTRXXdobPq1NTy2aHswLDkcJd45CHh6H7A1ignmunv2VEsHkworH5opHr+fgSITKUUH0KMOIdHpLDttfa3DpGw2lpJbz6+fe58+y3RXAuFAWyQKWEFakfb4ujpFM31Eoi+Zh1YYh4yBkGsbKqSZXOcYV6KpUImKbu8g6ln61qLx4XWXSCxeiypavnH3P7BHkdKwGYALkl2Jh2DAofBtq4uzgYjUcbIlpaHvUWy5dz6Hrm/Rkwc62qZsWNdNUra+iNn53nvOiBh8+ESC+AuMHDytFvCKHiLpwy6Z7uQLgu1ccWquVMjMT2/RJRnIaEw9S0lFKGpakiS5iP1KJuBXQfZKTLdT1zxf5CKymgd0wlGNE7mjMEgHiUk7jnOMEZmL7Tko0mZFOx2LFUI0JlHX8Iid5kY0sKS4ChCuCknyBz7VK7VIWSo0n43BDACf5XtUdqjrAKU1qhUOt9PByF7tczEO0ktiICI2wquLuYAREeqycqhRRaDE+f+aocdavXivPFx0rRsqZ6kcUQmfbAoyq/aIaEpciZXFvYFjmAkir9lXgmgBuYlOtKYWX3PtFNSakqEwsQ4OQeB6SBIkiNoh9fy4EJc0iFytPhKwk+ZfVWOj5qIyzIm+tAvMqcPGMTCPvQYBvv+7g+Q6O7yiw2cRCzw1IdZJQMrULglmuLDtVPm1RkpYVEC9D6UTLibWUTBfCcSWRlL9DLzRFCJCEKbne1D4Z7xnyecjzSt6dkB4qol6eVnbbSrUlMRlFptRa8rq4wyhx0+KEOyMCqZ5ieMitX86JilAg1iqlZaAbZQVgWmBZQoAtsWxxoxIbbSEgVM8oaWWeKe5rubSqFmRiAV5W5IxPK8pBRzeUM5e4UUn8m9rWq9Zc7Ff23kVGlueYLXE4ycnbMXEjoGzFCozXFhxVx7Tpes2qup9sG+evCTng+ftPkqccz4cczQeLOuRw1letbI+i6XPnhMGyL65LTXqBT2/s0TmyaO8adIMaRlZn2vEZtX2Krkt706Vz2aOzLpmykvWaME3Dc5B9HM+YxsEL4PvZa6qfBCTZM+Dqk6Xl1vni+k2+sn6Lt9Zu0BBAblGCIOIHP/qYb3/7fT66/QTLNHjrC9f55jdeo729yr99csD/79Eex/OQ9brPP7iyxT+4usmK5TE5immtO1jOrw4yC7HodP4iYH80rdr9SbaIX9G52LaoBRaTXTjeK3EsjTdu2Qqov3nVrFxCfkfXmoRU9Pgnd7j3/fe5/4P3CcYz3LrPtS+/ooD6K2/dwhHm0m+piNvIR7sR378XKrB+OM9ZdUP+eHPEm61TtqwBejikDIaUz5FS5N5QOg2SskUY15nMfUZDn9Njm6Ndm/HEVzb9Mo5prtkY7ZLITJinIf3pjNP+VI0rxML51dc2uXl1HV93GR/ETPYn5P09zHCfpnNKy+vT8EYqkshwxCVqmSxb4vSoweN+m4/MNR702oQNG8M1uLRic3PTYaNjMosKJqHUXEUxCtA/l3ilgwitn2AME7RwMScQpfiSg7Pm4G+4tIRccsmriFi+RHUZtHyJKJG+zjQqOBymHIwyjhYgvGz3Z8/mGLapsdY2WetYrLdNVqXfNlnvWIq8+GnnqozZimmG5i9A6V9h7CPXSpiUBOIyExfM44LRcMqwP2Q4mDKICobThP5ghpPNqDNlwx5xwTll1RzSMyc09VCRmyvmsyhvTRX7gOOj2XVKUxhabUpaFEWbbOYQ7gwIdk/J5iFFPKEIx+TRjCKSiCcB3OQBIs8CA82yK3cxy1GApNFsYzYrhazR8DGatYWC1lfKWqPmnatnxdWmGKRkw5Sin5L3ExWXkZ8mKiZPEbUtHXNZwPoa1loNa6OGtV7D3Khhtpxq3PCJz/Z3dW1YgZwCkouduYxXRJWsrM6rsUvxXPvTAPtzIPwCbFfjwZ9TRG0tgHEFHFfgsZwH8f5RBdQroNTE2VjF3VrD3drA2ZR2HWd9Rb129r4l+uJ54F7q8fGM+ztjnuxOOD4JlIuG+plncSeGjueZ+J5JzbNo1m2aNZtWzcJ2TBzHxHZNbNtQ2wK2i/W+bctrBtbZMU71uuxzPQun1LCF6DzJyIcx+UBqoshzmYgejgZk0xF5Ml3UCQVC7JuT5/PKYV3lv2lY7Sb2+hLO1jJWr40hALqcu3Ke+n4FvNcWoPqif/a5fF5+RVB/Kqr8gNOdPf4f/+V/yX8/Pfz9AOflpvLmm29y586dn3tcq9Xi/fff/7X9QX/Xy/Pg/P/0P/1PLC8vq/7n4Pzn5fPyefl1FHlkSDahAPV3gie8M73DSTrE1e0KqG/c5K36zV+bql5+373JU96//SMO/u17ZN8dcrIbK7Z7JG66TYh6Ge66xa3XXlJA/SvXb3Hl4mX62phvJe/w14cPGP/gCuYHr+CkTfSVmMnVB+hiIW2BY1d5cqUuNo0hYrIeSNq5PmamnRCWY7I8VLXIZNCdqAUiUW2JArdhNWmaLXx8rNLFzCz0QgZmGpqdk2gRo3jIOBGFZpWL3rIabLrrXPA3uORtcsnf5Iq/Tddq/txJkMrbTOHgVID4qh4Nqsf4crtSxV9aWNVbP0OFfaZ0Vir4k0kFvEt7OqE4GZ+r/sQWKW01FQg/9ZuMzAYjp8G8VuPEHjB19+gb++dAvGJryqKwV8NzbFI9Y1zOFQgv58d1f5ub/iWueJsKfJeoBFv/2SrqMAoZjkYq970/HCql++FRwulpznikM51YhKFLkbeUrbIUWbAV0NEXRVTNpNm06LRdel2fpV6dTtt5AXA/6wvA/ru08P63rSjShxA9FFB/WIH1g5l6TVtqVGD95bXKCn/5518Dz5c4LnnyRIB6AewLjo9LtShaNEZM2vd5VHuHqHGXl4Yzbh3EbD8Z480iUkNnd7PJ7tYaTza3GTbaxLLwLEr5wqAetFgarLEqdbjKUuhTk0WcQjL7NLRVE2/bIpvA8GmG7ue0XypwVnKVlzWdTklGc5zjOd2jmPrpnNrJBLs/wBAFdR1O3oSdL+foLZ8r04tsHa6gD2AaxwzKiLubGR/eMnh0oSR1NLzIpx7ZZI0dwt5dGnbMhuGydfoK2TvXOP1xj5MnBf4kZTUuWL4woPnWHt7VPnkz4dCyeDdb5kHeUZnQV2yTPD9mbhzi+ru09DmNeR0nWENL2wSlzoMi5H4UcDIbMYhOoW3jthts1ny2rZJLWkajKLEimM8tDtMaD9IGu7hKhbNuO3xBc/ja1OS13RDrYLFg3PXh8hLxao8npy5v/9kxkw8LCEQBlNHcnLP59YDlLzzF8oYc3Wnw8Ntb7LxXl3A32taA3uo+bu8JufWIfH6EEwQItCq/1xAL8bbHoGNx0CqZdT1a65d56fKXeOPiN3BOuvz4r/v8+K9PGRzFNDoWb3y9x4WVNtOnOo/fFnCkxLlgYl63iDZNgsU5Z2oF28aAlewULUuqzDcBGdIUSxMvghTXzPFMiZ0QHlep2rP1FWUlt1ArVham1T4FPOaiBKly5CZFxON8zJ38lAf6kF1tIsJEBRp15z5XTrZZm6zTDnvYYwczzLDLAN8NqTcibG2Clo7QyzlaEZIlGUlc1TTOlFpNRa4oFKqyLM9l1i/qQMtSn6FM5q1GDbvZxOm2cJd7zNpdjmyPR6XJ01zAYouVhseVtsv1usGmlpGPh+T37pDfv0Ox80T93frmBaybr2C/8hpmdwnDstBVtVVfSAHhNGc2jJmcBkxOQ6aDkMnJoj2VGqhcPSmNrsflN1e58oVVrry5QnvVp0TUChkVlFT1n2+LMyBflJ+q/eSxsq9yq6nK4ll4FlEgVq05HE1tDicOB2OXg4nDycxRj025bS3VY9YaIestAe1DVmScYebnPycvAtJiRDyLiI9ckiOP9MgjO26SHjZI9n2KuaVcM6RK9qrX0HB9+QWZcjaI5wHJdE4yknzRFDtLFVnAsQWYOlPYVTXWSo7FkjGD0wQmhU6ISVSazEqdeBGzkolyNzewMhO31GnqGhu1nO12yqVuQk+ek0ZJInncYhMcC1GvFGMB0lInVa0mLuKqlf2CEyelZHTLPrF41RbHnVWNlKpKhmDLgp4NSw50beiYGk0VZyP24qK+1khzvVIp57pyBcqKxT7p50Ko0EgzTamY01RT/65SbIsbiQC94u+ToktUjp6hq1qpbxMvJ/YKolpJVC+JPYPI11VNPLEFr+IazIaN1XRx2x7NukPHs1jzXVZcj2WpjkfPdhRQ9+sokufbfxRxcifk9HbI4G7IZEeyJCUrHbyanB+SIykEz1LZuudiKRyUCmAX0F1lmCsLy+cyIBRwV2AauXJ3MI0qQkccHiR73m5oCxDewGoZFGbKJMsYhAXHkc5hbDEuLRJdPuuQfD5lOE4YDGOlQpTPXHKSBYyuLN0rgNqyZHyqK9BAFDOOKQCCgJ2V3bxYsqtoZSFdSM6xcD3EMl7cmUTNL5bxaWWNL/rQQmJlxOJe1zAFrMemljv4hU0ts/AzCzM31PUp13Zo5wR2RmhlhE5O4OTEloxfK9C8AtMFSK/sLxUJRC2aL+4KZx/h88D9uVLolxxHnt+DF2PzBUtAQGv5I8skpkwTNKml/LXyliqrULlXyxmt3AgW322VBV2p8SVIR17PMckWqvVPEhHUJ7I4HUz5++UzXGDelqZhFDpG+azVcw0j1yFf/Gz57B2d3NUp3IqsITmeMhY38hwjKdCTArMo1Pcrbl/i1qAcUzpir2/j9Ww1XxJXKcsS0llJOM8YT1Kmk5TZNGU+z5gHGWGQKavbcJYq232xnxZCjiJZLOwWBHw/izZR57hwJxbKY4nwkvukLLqLy4A4DzQbZuVE0LLwRckvPBarUqClmuTFpoRZTCRRS6rGKpbtrC92/NKXVp7lulfQWLVZ3qyx1GjRWwDsnTPQ3WuqfR23gS/21b+BIsr1M6D+cDbg6fGIp3ti/R3RP86ZD00KAS8nPlqmYQoRtABD1LK5Ti6kQ4lb0ws1vdLcGN1P0PwEvZZg1jLqDY1GU6PZNum2bXodl3bNo+XUFODetGtK6a+q7Ssiwu3+E364/zE/2P+Ix6MDde28snSZLwlYv/Eyl8VafXEN9QcTvvPdD5T1/dOdYxp1j6999RW+8fVXCRoef/Fwj798ckCQZtxa6vC1rRUFqChSyKIq44Szvooo+iyvLQgnZ325DjSNnu8xjw3u9xPunybcH8QMA3HXAH1oUp4YlKFEDRn80Vdc/vBLLitLvz01+q9S5Bo5uPuEe99/j/vff5/jx/uKULP96ktc++prSlnfXlv6rb6fu/sJP7gf8L27AUfjTH0HK60KTN5ql2zXAjbdGcvmhLoo7OcL4H4m4L2ss1TXvZC/ktwlTBvMghqjUaW6H5w4zOMG87hGLAp2Mtr+gLZ3SrveZ6kzpOHPMB0dw7HQOxvYaxdg9QL3Dlq8/bbBRw8SHsmYSVxNeg43b9S5te0qQP5yT+Pwwzvc++57HD7YUe9HnoVn76uKK6hGmUKclbHYPLYJZjXimUsyd8hnNmVgVjEF6KTillXXieo6SU0jqmtksm4h57uh4wrJ3M7ouQVLfslyQ2e1abDRs1hqu7g1D6cmra9ap+Zje7+aZb6KLIgToumccDInnAaE0p/OiaQ/mRHNqn1C/Djry/Hqc3iueI0aq9e2sbavkHS3mDg99mYGj44TQsm7KTNW/JSbrRHXaqdcdE9YN4/xxNUzmlJGM0gTRQBUVYH4QpSTeYwDtQ56YwmtuYbW2UJrb1HKePH0gPTgEenRU7KTPbLRkEJcfuRXimrfEOW+T4GsMZnKESgPApW3/bPtvp/7jJ63yY+f68vA96wYskYoALRZVU9s+y1lka/bFpqaH5lodjVXUtviRnjel9ZEF8Lu+fHW4viz48yf/reapkB0BaQLYB4sQHXZJ8D6J8B2tW+RJf7z/nYB0JXqWqr0F4B6BawvXvvkvjPg/fl/o/quUih/2vmpRELDMdHuAfHeAdHuIdHuPvHeEdmkWmMQwqS9toK7uYazta4AewXab6yhy6LvohTyncwz0knKg8cjZSm/7jn4Mh6VAYWKRxIC8mLsrMjG1bYiJi+21THnZOTntxf/ZnE+ZIOQLKwAdwW8S2SpIY4Tc4p8Rp7OKldVleWmKcDd2VjCXl3CXulhL3Wxlp/1n/9bPi+/3fJ7Z2svVvb/9J/+U3VRffnLX+a//q//a772ta9hmibvvfee2v7X//pfq9f/+T//5/w3/81/85t4G3/nyufg/Ofl8/J5+W0WeYTsxEe8Pf2YH04/VqC9TGpv+BcVUP/lxsvKmvzXVfaDYz748EccfusnhH99zMl+zM44JRIVe9skbCTQzagtO9y8dkOB9TduvMRwNeDfDT7k7g/rFO/dwAu71HoZRSsgrc0IzYQ8cigjV71/S/QkmoWF2KGiBmlmamLmMllPSbRjxtzhNLvDcXqXiXFM5CbEbqpWgmRSL4xsMzWoxy4bzipXGtu8vHSdN9Zf4/L6dVntQMa6cSIWoCxqudgHIjQ+fy2uXpP9Z3ObmotSxZ9Z1df9FwexZZRUmeACwp8ulPCnCzB+kRGu1CjtGmW3SVRrMPObjK0Gp0adkV5TtvpD7Yixu8dAAfF7HGWHlLKwjeRad6l7PpgwI2CUT9VzXSzpBYi/6V9U7UV3XalKpIg6TkD30bgC3gejIaPJSO07Hczon5ZMxjpxXIeiDUWHsmhj6B6mYWJZYvOZ0Wrl9Loayysmm+suFy7U2dqo43wG2/TPy998KcdzisfHz9T1+/1qXl1zntngX1pF25Lc+s+2wDWfPwPqRV0/GBbK6SNtHnHavM24dZdVc5cvDeHK3ozOXp8sTxnWNI5aOoOOy7TXJlhapt9tctSy0TIHZ16nd7zO5tE6Vw7W6AS2hIgz1XVGlk0gFq5xlWku6t7mWo5TyzFcyQubkecxWpJixRn1YYDfD6idznCOh+izKZFdMGq6xIaPkdfQbZ+i6eMbYu2e8f0/SPn4ZcmtN/AndWrHDfQDA7OvY7sp5tWneNf3cSQC5N2bjN5ZJbpr0RrqrNgJnVePaH1lF3dlRuIU3Nfr/CBbIaDOS06LpbzD8TzG8g+42HlC23yiAB0jWkZLWspeXIC0gREyIGJQJhyS8hQd3zLZNnIu6wlrZYEeZioP7smo4H7o8og2qWljFDndaM7mbM72YMbapGCtqPGfbn2Bxlsvkb28wfvfnfD03xxQPBqSTsYY9Gm2+iyvDfDMfcz0hDTQiSaykOUyS3skRQ/H6+HUa4zX5+ytBewtx+zahwzKgYoVKRo6etNmbkWYlsVWbZ2v977Il1qvUf5wg3f+lzn776ZqkdVqllz+msM3//MuV96on59bYnfen5acTAtOpyXDWaGsieW+LOoQuS8LWChqRwGO0ixHS3PMMsfVMnwzo+0WdLycjpfR8QvaToajZ9iawCdybIaWZxXYH8whEfcFUT5biExxFAfsBX3uR8c8LIY8KUbsliMyvcCKmyzNLrM+u05ztI09WMaUTO9Up9mG9esaW7d0emsJ9WaEZtsVQBtrTCOYBCXj/ozJ0ZDJ8YjJ6ZTxYM50FDKZJGTP5frJ9Wg6Fl7TI236zGs+I9ch9x2V8bfZ9bBsQ6LwcLOQ9eN7rO7epnv0SFkiz1e2mFy+wezKdZmgKCBIrnBZhDVFkWiaKnPcNC11v6+q9C2VSXn0ZMrOvSG7dwYc700VKFPreqy91GH1WoflK23cul3Z4Ivq+rytvqfnWxWzJ4s9i322rnG16XCj7dFzP2OebF5yMM3ZHVV2+LujjP1xrn6vPJVXGgZbLYOttsGFtslmS+z7RK05IS3GCqxPpC3HJPmIaDwnOEwVeC/AvQD42XGD9LhOGVtK5S/5rG7Xwlm2SR2HWQbjMFFRQJMoYxKIcjPDMhNMI1WtU0sJGjljK+dURTmUOEXBqp7RKXNqZc5sVnJ4aHCw79AfmCSpqIRLLDfDEMBqYTKugLDzE6JSGz9fZAxkSGyNaqvvVr5nBXgsLIMrFbSmYiDk3h+J7XeiESigfQF0avKd6DSUgt2kYVk0TIu2b9NtOrQaNnZNrLHFIltXre1/clu01hCNc1XDfkJ4kqjokqCfEgyF9FDZUYr9ZQVwypK4xFVkGGWCWQigL44Gz4H6Rkph5kS1glRstBXIo4IVqnGkbmJrFkYpCmUTLbcwChOtXKiVJapBSAcCdObPWgFby1yjFNBVPhu59KQVwFMU5AKoy2crrhXSGtIKsF5giLGTp2F6GlZNx5LPpqFjNSU6wsRqW9gdE7NjEyaiWovUorRZCoC6AFSF/DGaMR3EzIcJ81lJGJSUYo8fp8zimFmWMMhzTpKCU7HxVOgotAyDNU+UeR69pRr1tqcIpTKWDeNc3Svn0i8gLDSCHCJpi4rE8ckiimfH1PAtHd/W8B2JMtCpuTq+xBXIORWnaFGKHqUYSV59RnIvOQOZbR3D9dCUG5NHUdhksU0WyOdfKbsN+ZmbNo1LLo0rLo0LNvUtG39VFroX57wQqMKUIsxUm81TsiAhnVfbaSDbKVmYqddyaaPFdpiSR6KQz8jijDzKyEV5t6AALQThn2ifqfvlylPErTylyOQZIWSjQp0WpSHKcZtC7o+WTWk7FVHB0PDk8zPA1koc1ddwBSQ3SokeVfMbRz4vxdESp4qKyFJZ7VcgUrW9cKtY7CsjUdbL9Woz12sERp155lBKjqdv0dr2WLrhqfiE7lWXRgPyk5jocUD4eE74OCA+FKCjsg12Nz28Sz7exRruJZ/ajQbmwob85xVxHji9O+PJv+/z6NsD+vsRiaNjX61RrDmMLYP+IGMwTBkL+WsmAL9YfWeqKrtbFbNRPd9kqCkgvihkBcgXh6xWw6LZkggBi17PVm29XjnRSK3XrUXfQLcLGnWbdsNVRJTfZpnPco6OUk6OU44Oq/b4qKpJssgwL0tqDfBrJbgxiTYnEjJ6OmMSzZXav+7q1AqDWm7hhyb23ESfGJSRQ5bapLlFaFgEukFhLZS1UsWmt2bQbFW1pVohQJxtm1y67ODKSQmcBCN+tP8xPzy4zTuHdxShoOe3+PL6Lb68cYs3V186Jy883Tnir7/9Pt/93gcKtF9ZbvMH33idL33lZR7nGX/+YJcPjgfnpMcKC62e+eoakvZXdNd5vqzUPF5b6VZ1tatIBw8HiQLs753G3HmcMtqF6EgXTwo2N3S++pbNf/Jln8vL1m80WkUpldOScZwzFrV2JG3Vtw2NtYapqlj0i/r/08r4eHAO1D99/x55lrN0Ya0C6r/2Ohs3Lv3WlLzy9zw9Tbm7H7M/rGzZ9wapAuzPiFLiWCCgvSjUN7oWGy2dTX/Ouj3DSceU88GiLgB8acWpREiGUhNxMskwJUqg5mGtXkDvbKK1N+mba3w8afLx44QP3huzsyeq35y2Cbcuebz2lQ6vvNJQKvlkFigXgrvffZdH73xMmqTqc9t65aqac6iyIHo8I3SdjXE+fZ88/4M+TE81picwO9GYnEAUCGAvVosa/lJBuxdRawUY7pS8nBPOQwWYR0FEJADrmeOQ0EMX8TKqLyNJpyLimmJV7UhbAbu6aSkHGPIMTezH4yrKpVJORyouwZK1rhcsrDUFtrsNX7Ves6YcGfxmXbWyXb1ew6v7zEdTDu4+5uD+U0UQkW0p9U5TAfb2hcvE3S3GTpe9qcHDo1iNH6T0GgZX1xyurFhcWSq53I5o6GOK2RHl9JhydkI5OaacnsJ8RBnOnrHr5Py1bTS/CfUuWnMFaj2RYUMcUszHlLMBxfiQMqlo2Zrlore3VMVbA7uNGmxJFZGJboNhUwrZ9SzLW5xgFGlOWTotnKNSstOI7CQgl7Yfkg8iskFEGVfOHAu7J/XUF+Jw1QqBWgbFQiQWm6iqPatCYhDXmbIQN5pFX/TWus3IrDE2fdVKDXUHSxOyXIElY3tLx3YsHFF1S7yMb2G7i21pfVvFzrjiuKOIHU7Vr7vqu3brriJyK0ehT1y/QqRMsoI4LVXUwlk92xayZZQVJKkcW+2PF/vjs+PVsYXaljiIW5sOb1zyuLxSEQ3Uc00iDmYZyeGI6PEe0dMDor0D4sMjkqMjsumk+h5yMKwGht3GNNsYVgfTbWM6XXTT+an3X7ksZJSqyuefVmRuieUspX9G7k4rgre0xVnNKPNFX43bJBIpOAffRf1uLbexl3tYy70KcJd20bd6XUXA+Jsu6nOQgaGQQj8XMf3+gvP/6B/9I/7X//V/5eWXX+btt99WthyfLP/4H/9j/uzP/ozt7W0eP378m3gbf6dPlP/hf/gfWFtbU/3PwfnPy+fld6/kec54PD53ETF+i3lfv6kyTKe8M7vNj6Yf8/7sPkmZsm4v8cXGLb7cuKXU02IJ+Oso42TKh+//kOPv/ITJX+9xvB/xaJwyFyZx08FZt5kYI2hm1Oo1br10g41XLjDcKnj/vk76ZA1tbxUtsbCMgmZnStMbYBRDwrjPcJIqC7Iks1FSV62OYXawnWUMs4GhC+u4sjpVeTl+SatR4vUmWLUZTtJmPizpD2eMphHTIFU2+iXVYEuABtdxcBxXtVIbNRtXMsmdSgUlVak8xD5dbYvqA5baws6Xk6ig7E+fge4nlfq9FDB+8iyzUCxctaUm2nKLotNk5jcUCD/UawwDnbksvEpWrH7KwHlC39zjuNznMDs4B+Iv+Kss19oqAy/WU07yAUMJ35aIA7PLtrbCZt6lG9Ux5yj18HgyYTqbMpqMVTueTpjNkwXo3qYsOhgsYZsr6Cyhaz6WKXagsuCl0evprK1abGx4rK7IwphGp/M3k83+t/F6/V0qQiYpnpycq+vLpyfKClmTxb+LKxgvX8B47RJa5xlg+ovKaPQMqBcbfMkPm+YzgtYO/eZtjNZTvsaMN0OfDZm7nx4THu8TxTOiIiHTSyZtj/lyh9FSk+OWz7jRJjJXeOnwdW4cXKAVicWdxcQ1GZ/oZCMdauBeENWhSsVWFqumI5OblHk2J4/nCqQ0kxwnzvCHId5wjj0e450MMCYBuoC8dY+TJYd+1yZtWtz9hs2D6xKXYdAY11jb1WjtBwyGPcqkiW1mOJd2yV55RNGaUHz8EtEPLmB+1KQ7MumsTWl9ZYflVw9w6iHjFO5NTfYHYu1fshrpMM7Rw4BVbc5ScYDJjEQryDRNYCoyzZYAPgpDR/Cl2EoIzJyZVTARtbhh0jYNuoaDpzsYWAS5zV5icj8y2c91ErkLZjHG8R4rxyf84dzlJmK3lpKbqfo9odi9hQZR1mEY95jqS9BZp3WjTfOVgsatY2bTgic/WeLx28sEfRdPM1mpZazqKUuORahH7Dp7HHQO2fV3eWw84bQ+JLYNMgEzdB079bgUXucPNt7ije4r7N1JeO+7faJ5ztq2z1t/2OMLf7hEb/VnK9zk3ikiD1k4ElKVAuxTsXMUEB/644LBrGQ8lxgVUbU9WyaWube4nEhrm1CXWA1Xo27DqhOyok1ol2Nq6QQzmqhFMSma6aCbHkUKR/0h98dHPElP2S9P2KfPXjnCGHdwRxu0Bhdo9y/gTVfwHF9Z2XcvmfSuOqxcdli/4tPbkuzFT7+vis1iMJgw2TtictBnfDRgcjxWAP5kGDCZ54xDOAgMDiOLqNSVCrXUqlYpNjUNu0y5XB5yPd/lUnGkdJ0Hepe71gXuORfUM0ksijVRlAiiK+3ZQoaob1WUjI69WsO71MVZqimryzjMiGYp4SwhDatcUbEU9BuWsiyttxwF9qtsVgXYVa3+Qlv151nBwUKdv+Sa3Gi5XG+73Gy7LEkw5mcsYrV+OFmA9eOcp8OMnZEoJEw1BlquC1D/ImDvLkDA6pwSa+Rn4H0F3I8Jh1PmBzHBYb5Q3rskxwLe1ygTeX/VsquC9pwMvZGoSq1SPUpbejG5k7FX2NzPfe5rHoeFqxD3ZS3nilVwzdXZcG3SU4/hxxYndzWiaaVorpSFVT64OheV2lmdKYs8wbPsZ8l9Vt7kaHqJaUtF5UNXrdwXS7UtatmEUClVSysmNxMiiYDQCqJcIwoNgqlNOLGJJyZGqSs1tKPrtGs6rZpO0xXrfouabeKbFraMtSKTXCIEUhNDSEKGpc4tZUkuvAM5xxaOFMpuPZVakEt2elaovPYsLdVifhbmpKJEj57LJV+ouxWoqaz1KzBIPo/qzNfUOmtFZqh2ap/oy2dUmVaUiuBlKmBQ1o8XamKvpLVq0NowcXqWAtidro3dtbGkNh30moXmfrr1vlwXRw9HHDwYcfhgyMGDISePRmTC/FSZxBlRIvnwsjiqEQlpoNTVkrBYf8tCpFA5Uq0gljFnKUQCAb9NbMOm5jnUxUnAdxVQPItLgrR89hksFPO+Z1AXMFNcjQTgbNgqP73etKhJv2mpa7Xesam3HVUF9PxlQE5RQhWTmHwSkb/QxuTj6Nlr45h8GpOMMsLYIo5t1ap+6pCVJuVCAa6eq2aCKwSXReyExE/YVnaemamuA7G0P1PALVpV5Xvxq1YXpZxWqGtHwEyt10Rz7SrTVu55YncvirHF4m3VVq9VVqbP9pFG0D+iPDmA/gFl/6hSEcpZ1+5BewkabbRmR7WqL7LwX8NYeDQYkh8HuMOcbHdK8mRE/HTE+HHEOLSYhjYzzWeWexSmie6YNLddll9p0HvJZemaR3vDUgBF+BxgHz4JKISxoYF/rU7j9RaNN1vUbjYqe/yfU5R97cOA/W8N2P9Wn+AgxmqYrH+zy8Yfdum93lTPOCFTybN4OCs56mfsHUhNODhIOD6OGfUT5dCShBmpkCrSXD2rFGgi7gXKbWJhly8gh1yzyk6/UuefYRTyzPE8sbI1Fva41bb0PVeAbBNflLeeqPUNZXtru4aaY0n2uC7ft2Yo0EIlhSxAjckwZ9hPGZym9E8STo/EsjchFGKIRAZkubqXGIv7aqniXwrllrN4HL9QHHk/noXrm+oZGQcJ4TxR8RFC8FBRFpZGp27RtnVa4pCWQzPOsCc5+kwIMQZpYTCzDALfJnRt5obBDJ1ZphEpXlflonHzlsfrX/B57Q1fAfZS0jzjg5OH/PDgY6Ws350cq7iAV5evKEX9lzdustVYUcd+fPsJf/2d9/n+Dz4iDGOuXtngm19/Tanq2+36L7aqVUD9GYj/DMg/7ysQs7qPV+C+xCCUPBpNFQHg/aMBdwdjFYUg5NRXlyug/tWVDte7bU6Dgo8PY777k5gPPko5Paju7421kpu3TN66YXNtyeFaz6Ht/fx5pLyPaVycg+wTAd7Dalv6owUIP4kKBcrLuf18kedBU6JHopQok9gHifCBnm+yKteGqpbqnwH34p4hJQ4iHv34YwXUP/jhhwSTmQJaryr7+9e4/IVbOP6v5vyQZxlJGD9XoxfaNHq23/Zc1q9fZP2lbdWXv1Hy1PfFzn2YKcBe2v1Bqizxz4rYwG90TTbEzv0MvBdbdzfAiEYLwH6EVutQtDZ5PG9w5yDh492YO3vVNSW54quTmKt5xq0rPm/80RIXvtZDtwxGR33ufe89BcjvfnhfjQU2b17m+tffUESG3lYVLfurFDnnZvOQwWDCYDBlOKza/mDM0f6Ig50hJ8djZpOIeC4xIRXwLEQyxzewPWNBUhRArYoHUmOWM4euxfaZY5cCkVUuUIXea/KaIn9VkS3iSFbVRWzLoi/xLfW6R63mU2v4+L6L50mOtoPnOvi+uBU6+J6L69n4noO72F+reTQEvPcrjGg2GHNw7wmH955yIPXuE6W4l9JYarN2dRt7+wpxd5OJ02VnpPHwOFGW+VLEov/Kqq2qECYkAsB3KkKfZ0pm9z7l4BHl4CnF+KAC8ad9SMIqVkVAbpmE2TalRHwJgO/UKuA9zSijiDKYUgp4rwZ551fZ+fem/DgsF01U+6ajQH2pz/rCnhRV+GL/oq9IdaFDLvFXA3GOiZQzmyODR3HrzCJKIWsLa37h4Cnk22lSMslAUgzmpa4c7+bixoCmqnbmnaNc3XLqJCofPcwdVYPSZV5IdVQ7LR2iwiXCUbUUJ7Wz+ZhY8Ku5mAxWqzlZZUtTOd6cOd/ILUgicQRUVyjjuVVP1T+HHj+xX6Y/QhYQwqVU2ZbRisxqhFwo71uef3fnFXAvboY3iowbccKtPKP3SfKVvOW6hV6T71QibMZkyZAsHJIFA9LJKdlsVEXuGDpWt4XhuxRJrGLdhIzyLKn9ZxcB0M/dAITkct5Kdrv9nC2/UwHxS93zVogwv/S9QSYaAvpLfJy0WYpaCJDzQvadObzmcfVafrZdtaWcQ+f/9tm2OubsZ8hr6WK/bJfyDJNxbQPNqS/a5ovbqt9Ad+uq1dxmdX7/LQX0d3/fwHkB3Pf29vhv/9v/lj/90z/91GO+973v8Y1vfEN9aYPBQC12f15+fSfKv/yX//L8RPkcnP+8fF5+90oYhvz5n/+56v/Jn/wJnvhr/y0qkrP7/vy+Aurfmd5mlE2pGZ6yvf9S4yZv1q9/plzxz1LEWvD2uz/i9Ps/ZvydHfb3Ah5MEkboGA3J7GqT1RJOi0NKQ5QNdaVwGk9mkK9R5luQbWFwAdPwlM15dylgYyPjyhWDy5dqrPR6tJotNbmVQecsgPGs5OC04Pi0pD8qGUwKxPVKVF8CuAioroAWH6Vsr3kFeT5hPj+gP9zn5GSHg8PHTGd9MTijZgkTeJOLS2tc6K6y2V5ipd6WcaWS1qvc7iChHM0qEF6Qn8VTXBPLquVWZQu+1EJfbpK1m4ztOqPEZjQpVNZzEC4W1I2CubfPifWE3fIxj5PHhGWghvNb/gobVk+pGYMi4jQd8iQ7Iswjpd5pBA61kYl9UsKByPyfTYhVKeVvXsd3NrHNNQXAl0WXLG2QZwsFvALgLZaXDQW6d7vaokX1Hed3a0D3t/16/V0rKot0t0/x+Iji3gH5vX1FRtG3egqk11+7iL7S/uw/ryw5OUGB9aKuv/8opT8PmJZjJo3HJI1jGksxr1/s8oedHi8lDscH9zjeu8v08AnZ0SHuaK7UppJRnVkupy2fxF6mmV6hk72E3lxD314jOV0iOjFhuaS8XKItUj5cR6NR16jXBKiQbN45O9NjJodTirGGl9m4mYaV5njjGf4opHMQ4Z72CfQpIzdmsmwxWXPZ2TAZdmVyX2fjMGV954R5PCWY+/h9Azeb49hH6K0jSnOCPrCwj8QFIFf2tPa1JtZrbZzLDbXoPD+acHI4YzQvsJ0mhdkhMes0HJ0tX2PV0TBk8SLLSdOAKJoQRjNCmcgu8qSVOqCURPWYvBQb3hS9KHByDSurQCpNbK4LgzA3mOQ6Y9Pi0HWYWTZLbpc3zU2uNteof/kVgqtX2X1vSHn7CA4D9k5LnsxFxb+KX29Q76Us3RjSvvqUtBzy9IMmT99fYT52sOxCKcRlUWar16FR1Jkd6DzdDRlMM0Jzyu6lH3L7+rforx0Q10XFbrPJGm9Yr/BK9BbGg0t89MGMJCm4eKOuQPo3v9Gj2fkPAzjCuOR4ULB3Avv9kqNhoVT5SsRHqc4T1y2VkEN4+QqnlgxhCtadgHVzypI2oVVM8NKJWtCQY0ocCllnCnUK02FQy9jXTnk63VP18eiUwcDGHq3hjVZxRivYc2F5icw0J++OYHmCvjrB2ojx1nK8mo/v1vGcGp7pUbM8XFNs/3x808U1XPyswIsivCDGm88pJ3OSeUg6C0iCiFQWWcWWWpyaBWgQh4EkRxsNMIfHWOMjBWpGtR6T3mUG3WvMnbYCCZNCIxZCh7JSzwjmMce7E4ospV43uHylwbUbHW69ts7m5VWK0ub/z95/xtq2pel52DNzWnntvE9ON9atW9VVxW51oETSBM3wR1Tb5g8JsGVQJCgIMgEKMCgQNEzwB2FBlgUIDUI/BEigDFA2BYKU2yRNqrvJrurKt248Oe28Vw4zB+Mbc+19zrl1b9XtCq2q5hkH3/nGnCvsteaaYczxfu/77n844cF3T3j43WOG+6sCsqsdrq1k8C9/bh1Pqh8+pc2zgjuTmNvTmNuTmD0pKBM3BsdQjHoF2AuIaObMsgXTZKaKBT89z5mmMwVAiGd0y9rC07bRim2KdBNP28LX19homgqwr0F7UwH3whr+5PNZSV7NSQW4L2vGfTQOKWbOKmzymVhvmORTk2xmkE01sol4iss7rNjAMvcn21avGOsFJ0bGsZGxcESpQwoqTIzYws1M5bks4w0pIvBEbt/V8cRyw9UVw9STwkJXV2w2V+SrHZEsXwHMhjDBann12h9+xcaVQpVSgICUj967I6bWXNy8QjiF+TBnOZbCC5nIV9zhFRgmcukCjD0DUjIKoqIkyqWQqCQ3CgqjwG5kuJ0Mt5njOHJsVXii+mA7eI6Lb3u4to9ReWgSpbmymqgpy+eA+8c+twD0WSQgvoD1Fbp8R2Hqi4erp5GYOjKamqMzKWCQaSzQSO2CxE9x+zlWL0XvpJSiuqTHTIqYQRIr1aWzJvjcumPjGHLM2Uo9IDAsfMmmRbDKvmGqKIcpywczpndHHN8ec/pgxvg0qv3dqfDaDlbbUXYqVadF1mqz1F1SYYQv5tjJnDIMCecRSZSSxAVxIkUINklqUuqW8mgV6dQz6wTl/W6AZ4EnjGytxBZQu8zR81ydn2qG3Yv7sJLjDaw6GjbOqi/Hpix//DEvsOrnNGy8hvTtc79cub4v84JlVsfiY3mZ5Z/4eCg2H4sEZglumOFGuQp/UuCNUMW7WmqjJRZ6ZGKFhjoOarBcQ+vpaBsG1o6Fu2koAl6rU9EOMlpZTjNJaSYJXhihRTKxXhcPvdDaDVjroipu17vQaX7/xvoMTYEr0xEMVkD9dEQ1nyg24HnzGmgipfICaN+FRkvJ5f+4Y+FStufelOTxhPTJlOTRhPHtOeMj8Vy2mSc2i8qjEnld16S967D2ZoONzzXp35B7NZtqkbN4b8b8nSnzdybksxzd1Wm83lJAfevtDs4F74dagM3uPwfUHyXYrRqo3/hyB0NkA+Q4P7eWWVkLqOKaShUsi5rMfCm+yCWno4LBuFD3UVK0HUUVWVaqsYEAEZkUkmo1gF+XRyk+XZ0Vg3sFhInlhABfq1CFPYq5/8lN7lOV7LoAI8qfWK9tcNRYSwoF6uIXKToQAFiy7VkqpEDNEg9cCcdSfWFDKi9ceY4sS+GIUnur/16SwSJaAdJigxOlGEWmlEOUjU8iCkPZOYAv9RKC0Yhsr0BsbVNDRuWtvKIdF7Qq6Fg6TeW97LPfbHAnt3k4lsGgxuWrDp9/O+DzX/DZ3Hp2TT5cDBVIL2D9O8f3yIqMzUafL6/k79/auK5sX77z3Tv8q6++y3ffuaeKDy5d3OCN16/y+mtXVAgw+NNoSV5wezhRQP27JyPeOxmzzDJld3er31ZA/Rm7PlwY/ON/GfLVbyecjkpyq8BcL/G3SzZ6JjfWbC60LZZK9WYFxCc14C7A/Men6sUOpO0atByDtqvTcQ2aovDgGrQdWa8RWAaOFENUGrNZzFe/+tuqQPj1r/wa48zgeJ5zMM85muccLzI1vqr3N421wFCg/VbTUoC99DcCg3TvKQ+//p4CpAdPjzBMg0ufu8nVL76mgFsZ66UCqq+yGvc9t5yGq2VhcysJ8k9vcm0QIF6k10UqXV4nn2398jY7r15l5xWJK6xd2nrhPCBArfiu14B9xsGoBvEFuBf1K/Xez8nkS94fZtw5rMeoRllxpci5fLTgyiTm1prJxr+5SfArm+gdi9NHBwqMv/O173F8/6naBpc//wq3fuktbn7lLRr9H45lyHE/nS4ZKcD9DHSfqeXxeK7WSU5loLxq8h27nQa9Xotet0W321R9AcJN0yBdlMwOU6YHKZOnCeO9VBUWyrWqu+Wxea3B5o0m2zcbqm/ZpioCMsUGTJSwpLDsUxQR5LiK4oQoTAijhDhOCMOkXhet+tFz8fHnqvUpqUjofEITCxkB6ZtNn1azzhIC+otFTzqZEQ3GLA9PmT49VNKSck7sbPbZvHEZ99IVku4uE6vLkyk8OE5Zxp98TpUxqmeLCo+MXXU1ZulYMesM6ZWnNJMDGvEBfnKCnc0UQ12A+xiDsNRZ5hXzlbWOY5R4RqmyCmGi6yWOKJlpBRY1O12Y9FLsUDOQS2XbU0tgroDpF6qlaoUkZeejiW2MQ4ZNjkWmQixqTLLKUPfR9UvriitVLGHKb2li2jaWbeE4NrZbF0SIF7qS+5c/msWUSUgVzmpVAVHjkTkXsTtTxRu1LLuoORW5FIiZZLlDnlukmUOauSS5q2wjksohqTwF6ksuShtWKlECqNuUWFWJXQk1qcIsC/QyV9cVrUjR5NpSZpRaTi5WY6ucVzKqFwWyrF4WzwG9wmu5TDub7AebPLR6PC0bCmDfauS8uR7zud2ENy5mNNtyzRRVA3OVDSq5qRagWeTtclE8CslOBuSDAfmoVtUQOwQpYpRCCs1x0ERi35EQoN1Dc2WdAPBSQFcXryklg/pmYRWyLUVpYkYlyg1iwZAsV793rawlamOqqPk5i6Fzm6MifxGAL7Jn+QeMFz6pqd/ctNGkItqQLIoPZ8synpdKaQfNkGw/yy8831QqEvX3WKzy/MVlAfk/4W9r52B9Dd4/W34O3HeC+u8aq89z/vnsn1nG/s8dOO/7vvKd/73f+z2+9KUvfeJz4jhWz5MNfvfuXa5du/bT+Cj/WrWX4PzL9rL9/LR/ncA+udTcj/f45uxDBdY/SY6UzPnr/jUlf/+l5mus2wIS/PhNKrIffu+7HH/tW8y/8YSn+wvuzBNOMjCbAds3tgg2HVo9n263Q6/Xpd/v01/r4boepwNdybruHegcHulK0tlxDa5c0bl8WVOxuSnsiOdYbsofUvykcuWbOxulJNOEeJKQzlI1+ZcLEyFJMbIUM01xqgynzLDFgzqVitwFeRKTpBFJGpOK1+SZF6RtYQQudrOB12midxqkIoPdcogbFsvAJNRNwtgkViwgVw2gi0JktuSmICepBhxp9zjkEYfaPifaCOGo6qVGJ/FoRTLRCamVM/ZCwqbIOIFRaAqIb88dNvMuF7Q1eo0OzWaTwOtgaOtKej5P2ySJr+SmZzPxs64/u4BKZ8D72tqLALz/MSn+n+X2r9Px+jPLrP9wj+K9RypXaa7AeQHpFaN+t/f7GsALy+HgQJj1FXv7BXeeLjgax8yzJYnUnLcmbG3pvH6pwy/d2OHVC20G+TH3995hf+9DRof3KU6OaYxi+oOKYF5hpxZ+6lCaTaJuh3mjj6bvsul0cFo5mp+Tkyk2loAh5HJzKjemObaeExsxc8ck0zwMrwf+Jhi+uoGzwjnu6Ahzcogx2sMb7GHkckMLsW8QBzaVadHITLkvZuK4JNkaRH0qzacKcvL1EdNLBeHsGuWHV3COehieTfClCVu/cEx7e8pc7Kdo8xFddL1FO2+TLgMFAL297vALmy7bUon+/G9TiexcxiRc8mg+YBBOiJOITGTetJyltSBxJjj2lKYR06p07KKm207MkvtLnXfGDk+XPmnl4Ws2Fyi4WiVcaRpc7vRpHm7jvFPRGi1J0wXvRwuGZhdteYli6irv5M71Bd0bx1T2KccPLU7uuCyerFFMWpCIQSNYnYr+NYutazbthsjyC6hzwv3sA76ufYMPnLscNwaUeoWVmuyMN7g5uMGV/ddwTrax8i79awHXvtxm50ZAf9vFUNrKZyzvFSP3rC/zJ2rivNZu/7R9VCSEh1M4HglwX3EyrjgaihR0zYMW1nGjgSocU6B9JXKAwk4taVYL1pizZczoaTOa2Qwjl2tNgaELu7aHcWEbY3Od6XHEw9t3CRORwIyVn+5iaLAYWCxPHKJTj2TiKcCg0AqKzpC0c0rUO2HRP2bRPWVpismqfJ+aTVEbSq+0y3Ud13Tpe13WvT5rblcVXfTNgDXdZ03zWKvEC1rq0URGIKKcz0ju3yG+d5/4yVPlsWy2W3i7W7g725hNYcMJjUKYLD5RoXPvsOTDJ5mKJ0eZmtMQueHrV31uXgt47UaLzXWfKIQn9yIe3lly/4O5ujbL59y51uLq5/pc+/wal99Yw/JswipnXsVMqoRZumCWzpkkM07CKQ9mI54sJhyGE8axMNqXipHiCSNYhaGkYxtWQNtp0rZbH8t1CFj/WIolZnuqYGKZRaQiIV1aBPoWVrVNlW/ia9s0jW0utta41DU/E2D/mc+lZUU6K0mnBckkJ5kWpJOiziL7Psk5OU4YDBJmI5m4ryeDRF5eqQ+swBxRG3hefeCT+ur5AswYmvIf18+OjxWYpIAhU/zkCw5On4JVcfONa3gtG9PT6/B1DE/YfxWnk5zjYcbhac7+UcZCvBw1lHzyxUsOOxcs2h0N2ymJU5F2jjk6DhkMl0ymIdNprKx1Sjk3SelLJRN+BUGjoNEsaLbkvWzaTY9uR5idTXrtDt1WGyv3yBcps+OQ0eFCFX6MDxeMj5dqgjwQprdE28VvOyqC9rN1wsaa5BXjPGcQhowWS+bhEsOMsKyIdiOi04jwgyWms8C0QuXlPp9WSpZayf4nOstYZznVGO/pTPc1wiOd+EQjHWqUqVgqQWlrFE2NItApPFOFAKJ6aWBWIrmsYVU6hlgIjDMlU15PGJtUmkOS1WB8pTvolk1TQJodl+vXAq5fb7Cx7rKx4bIusebiup8M7KprQ1wrWyTLWt1CWMmyvJwnzGYJ81nCcpGymKdq3ZkKhvh/JouMTGTgFau1rEHOc4uKitLWKT2bQiwoZKY9kCoB6ZtUvmQDu2Hjt+rfoilFNaKmYZsKwGpYBoH1fH8VpqGObSn2mKc5izBmPo+YzyLmxzGL/Yz4JCcbVBRSWzvV0Oe62vZqfGFA1CqJ2hVRpyLugtHXMDYN/J5NU2Rh5TgQhlwYoSRVYuG6yTGhowkjNfCg4aEFnvKO/fhRfy4nfL68yisGX9sx6bsWPaNiLY/oZ3OC5RRN2GKzcQ3cyySwepGO1pCdXwD77grA70qlAbjBC9etH2UsrFQKnkxqhv2jKcMPpgzvxUwneg3ap7aSkVGA/Y7NzX8z4JU/1kRv2KTDnPBexPyDBcuP5sq31+pZND/fofl2h+bn21jtT1c1Uapg9wSoHyqwPjr+/knkz9zOJF6FSSmT+3Lfp2wGcvLVsowtc91YgSsGpWaQmyalZ1HJviqFYU0breUq6X7dNagcOWZFblkGKWIpIFZrKXmUkMdnbGJh8ef0u4Y6Fte2AtrrLVrrbVprAS1RoWhYip3+4zSRFJ6IssC8VOoCKs77dRacTV1H5DMlqVLF0WUsm2WKcSifNVom6vg18lJZ/Ij38kUN3jR1XmlZTLe73NE97k40pcy0uWXxlgD1b/tcufbMD1vk7r93cl/51H/94ENOliMsw+Lzmzf4ys5rfGn7NZr4fPedu7z/4SPee/8Bw+FM3aNfu7qjwHqJmzcv4PyUZIJlHxNmvYD1il1/MuJ4WRfFXGgFCqh/Y71HO2lz/7bO17+XMgtLgjWwNguSZkFDrDWMOjzdwBW1IU3HVkY29flasD6xQhEVvtoGr45klaNY7O9k/3n22aSQYzQao+sVr9xYY2fLZnPNYGPNYHNNZ6OvK1uWwxVYr2KRnfdFBUiaXMs3GjXDvl0mFPtPWH50m+WHH+EXiQLSBQi0ffdZXgHssmx5Do53lt0X8sdfJyDj2e8vYPbwyRH7Hz3kQGTQbz/i9PGh2ubOGav+lSvsvnqFnVtXCLqtT/x9hFV/xrA/k8kXIH+rbSpm/MUHEzY/HCm5du8rawS/ton1SpP9Dx9yVwD5r76j2PLyN0U9QBjy1770xqeqBzx+csS77z14xn6frID3yfwF73VLlMZ6zwB3Ad/7kntNut06t1sNBWL/fvbH0dOYozsLjm4vOLqz5PRhqIohZby1cT1g+5WAzVsNlTs7P32G68dB/uUyYj4PmS9WeR4ymy+frZstmc1D9boX3kcY5HJvUwi4mlAsQwXiiyVVt99m6+IWrZ0dEjRl8xQqO52CKCuIRSUoyUmynCTNVQGEFA2kWUYu8v0rfFTCMwq2vJQtP1F5x5d+Tt8ReyO1ldX1oFbd0MhKCV1ZwOWrfl6tFOewKDTzPKTIsdAsSt2mlOXVOgGPC01nMC/IKvGLd9QcpNwFBnpEw0homCltK1FFBf2GTr/tsdYL8Ds9rGYfs7mG2eyjB300v1uDnD9kX1GM/DSiyqI6p+I1vyBfzMiWMyX1n4vUfzRdAbJh/VxR7xEbNmW5IwVoZ/YpK1n7XFNWbxJS+KUihbTQyM5DlvXz50qWdXIOk2IzKRwRRr6hlHMqFrN05VCwsr1qeBQbOyTNNSK7pe5FW2bKZX/C1eaEC8GcnrFQcy2qOPKToE91D7sqdljZEnzi8z6+7WRyZqUaVhf21R9crAWkqEO12rVrVWEvejQraa3a30sV3Kn7Z+3Z/bQC1A0pEnBqcFwpLYi6oBAyZDzog+UrC0TVtwPFZNe9NTRXFJJWYLuA3D+iDUmWpESzBdFsSbyMcHwPvx3gt5tqTvr7tkWefCp4r4oUpP/xx2X/+WFNk3vF5wH75wB8w3pWUKDWO889fpadZwUIaltK4YX7rEhBKVs8V7TwGc+DP3fgvFRfyZd79913lbT9j/u8l+2ztZee8y/by/ay/Ty0k3SsfOoFqP8gfKAm3MSXXEB6Aeuvuxd+IjcKApoffe99jr72LcLvPOb+/oQPFwn7kcj9mcpb3kTH0gwMqWY8k1laVS8qRlehkeQGaWWrkBll8cVtmAUtM6OtZzSNDNPQ1XphiNVZx5YQGV6ZuJcKZ6m4tG0MQVhst/aGNF1ykSd2PDTfo5JKTU8mbSwyM2VRLBgtjzkZ7bF3eJfx5BBdJKOdDTx3A9cVqeINLKtRV2NWGVk+YlEdcmo+ZWAdMXImzJxEDRJdbLbKNlt06FgBmVdx7E85tqeUOjRxuWbscMu7xBuN69xqX0WnzWJuMxxWq4DBoFL+tGetlqEXAB6Vz0JEcZ4vZHjZXrYftwkwX949oHj3EeX7T5SihMjdG2dA/ZWNH+n8IWyoo6OKD59M+e6jAQ8PIqZDU50SXMNmo29y40LAm5e6bG/rBP2YfeMxd6LH3B/dY/j0Ad0nLpcfeewclzQWE7RsQGYWmKWPm7eUv5/XtZRftNmyyDSpgrdIS5NEopBzjUWqw6k1YrE2ITAC3GQLM9/AtNfUDYnIhOd5iB6OcU9O8J8MiFyL+59b4/T6OpejgFePQ25fGrBPk+DOdayjbXRDZJFDyqv7jDozig88jG/08QYO9saC7pf3uPi5A8xuyqHucp8GY82lKgPKuEkWBvQrjT/iV7wt36PpofsuWuAqNuXZdlfMtSjk3mzAvflQ9U0luVlR6BmpPcdz57SCGa5ekpYh02zEB+MpTxY+sbZByRZR7qsJyZaZs+uXXIq7vP1Rl6snsk0XnPaOubt7wiTtUd67QHy7S5nqGO2IcmGh5ybNKxNalwe4zZB04LA49VkMmiyGTYrEQ9flhsyk2bPp7Vh4/YL73nd4z/oGt+0PGOtD8jzDm1sEpwFXnlxha7iLXYhsv4FjWTimhWubuGJXYtnqeiKPid903TcxK5FWF6aKSIfW9h3q2iPZEEnZWlFElEXcroN/06O45DL1TE7GKND+aFQrtkgTv+l2W5QY5HJSS4gLAWoR5hjxnE4xpZ2N6RcTOiwQJWTxlNTaHZygQam5RKlFJLLfmo7pmnhdD8u1icc644cpQ4lHOdPDUjEpRCax085odpc0WlOcYITVmZKYCWGVEZEyMzIGdsrATBjoIQOWjKol1RmIL96UhkPf650D+NJfE0DfaNF7cor37keUH7xHGcVYa2u4t27hXr2K1QzqCRYl7SfsgoLlIuHuo4gPH4bKH/TpqZSdVTTaGpsXYX0npbe5RLPnDOYhTyYx+/OUkzBlqaWkToouyglupYof5HolEsoi39m0PDpuk67bpu22abkdfLfH0mgzLhucJg6nsY1tNOi7TV7rBOcy+Fsib/1D2J3DeKxA+scrsP7xfE+B97Mkqe0PSgeHbYxS2PVbCrC/2r7IjW6XSz3zXBL/xwXsP/UzlhVPjyO+fX/CyTwlEUnMsiCqSuKqJFz1o7KOQhcZ5RqcXKGE50267gr0lGIGb9WXLAUObduk7Vh0nTp3HJOuY9Gy6zHXJ22/0TDn6ZOUp08Snj5OefJEwN56Mtf3dQXYX7xs0+9bqgBG2K5xXDCf5ywXGfNFRhiFhNmcMFywmC4VQLycF0RhSRKLVLpWY5hqWKghU6VKdt4RGU8L07KxTWEFpZgSZaKKY/QsoUpqxr8UD4kc9pnUkeVXmEFFZVXKHzypDNLcIM4M4kQnjjX1txV5TjbomXdpXudKDvSVvYBhV8r61PYq7EaJ2yhVX+b6ZNJY1BpKmSjOdbJMwiBNJUzF3kGAEDmHBQZeU8fxKlVM5qxn2BsZ9naCHmiUlU4u71UZ6FV9PquzjKUtzMrCqkyKymRRGMxV6OSahIbUY+USVAiJUZjFcj6pOUTi7Vn7rdaOuuIbX+AYOYo7lhU4WYGdFpgqlxhphRHLuU6sWCrFbDciCyKLcmlSLDX04vtZN1IQ4jcdvKaFJ7LivoG/Un5QMriiAGCV+CJfnouPfVpLwwpDWZTlxaO+4WLKta/pYbZ8tIZP6TiEocV4qjM6rZgeZMwPM6LDjGQosqp1UYE4ZSWdiqSnkfcg60vWyLoyyZ9SifyWsOwlZKJXtobscOJ35TlUErIs1iHPHQsqn93CIN7TOZNEfFGfNSmwWfMs+q5NzzVZMyr6ZUI/C+llc9biKZ3lBJbTZ5PTopQgDPsV014x7httxcLH8z8z4/6Tjt98ECrQPn44ZvTulMFHIcePCo5GHhvtkNd3x0pCXv1uMknrmZS5Rh5W5NOSfFlSGQb2uod7o4X/SpvgVhsjkAKhFF1P0KsQvQzRZFJ4PiM8ievJWtumrCyqQt7ToMp1FXK8l4moAFSUUaV8pouwoAozVWTwSU3sC4yWg9F01PbOp4mKYi7subxWCBH1iqxU6mOShW1elHJ8ro4AZQVT/6ZiqSBqHIYHIjBnNQ3MtqWsLLxejucvcYMUt1Gowj2E6Se/SSA+yi00yau+5J+EncHzv5vsmgLUj+Y1YD9Zgfijed0XcL+uYyhXhagpVp4qFuz46QQzTLmgw+sVvOaZJL0m9/yA2wuDsNJUsdVbb/u89YWAV17xlGXA2d/em5/wjYOPFFgvUvhFWXChtaEk8Bu2h21YZPOCwaMJhw9H7D84JV6m2JbFtes7vPbaZd564zqv3riE7/z0QMmTZaSAemHVC2h/fzxTwEzbsXmt26e9WGO+FzA6qdURftCMfG2vIWxduRepsHVRKKlwRAYaYaWWOAJQlgV2UWDnq8hyLAEnCxiWJsPCZFCaDDKDqfhSra7Roniy5laseyXrflVHUNH1KxamxkmlcYLGcQUnZcWJqMEUVS17DgSmxmVP57JvcrVhcCkw2PLluiIWHavi1DPLIhmrnEllnxe0SlHKSipbWSl8imKQAGDiPz2NlF/5we3HHNx+qHzLl5OZ2obtXoetSxfZuniBrQsX2NjaxtBMdbzJa0V3u+5XlMuc6BsDinGKdSkg+KOb2F9s8+Tefe589XtK0l/k/Bu9Njf/yOcUIH/prVuYnyJHnSQpX/299/n//fNvcf/BAa5rr4D2OvrPsd4FdBcgXhjifxDM0DwtOX0QnoP1AtyP92twTK79W7cabN0SwD6geyVQhUOOywporj3Bz3NRWz2k5/1aFSv92HOe9fnY8yul+HBr3eHWmq3sFD5pGyjLsCRjNlsyX9QA/vOAvqwXQH9wOOTkcMBoMGE2XShbBNlX1PhI7XoapibxfF/m6up1xgvrZLeUKlOTSjF3BTgXGzSLXGVdqTeZjofT6eJ0OzhNH7sRYHoOpmcroF9IqlmaqZzGKVkq6gGp2kdUf/W4EHEECJXHlIKLXHIN1FyiKHCqOcWzgiuZlDxnUst90POs6pptrdj+PF8vLSNWU43bZAyHFGeq7VCbbJpVhVGVSuVOF3XCokQrhN1eKeUmea4azr/g4VNjeMqb3jmzazGUYpYoe8j5SexClae9XmDKWEqTLBL7dV/Gd4YuljFnAPcqKQ8oOR/q5Iqx/yzk87tOgm0lmIYot6w84M+KNkVpoTCYlD6TqsVQ6zIrfWJcpWzQcVGKGZsbLRpbWzS2d2jsXlBKEuIRX+9zJURTisWYajGkFGXT5ai2M4gmVFKgkIZnH7ZWQjAsdHMF8sp8gmLp66pYoZACDdn2om5wVrB8Vs++ssqR674aRxk6lWKKy2ZYDfBX/lBndmVoNUP/WXGxPG/1hoacc2UOuYvm1oHZIsk94tQmzS0isQsMM2UZEc3DcwBeluP5ksU8YjrPCKVwQrNJdZtME80D+bz19xUlHlcsKxoeftPDC+rsN328Zm1xEbQb+C2PoNVQqg3qvnpV068KvGUqQKlrLUU6jVysGrKMPJUixJQirwtmVOSZIt6pdXmhCiGlUFH6Ysshy2Lpo6zIVtY+cr+XF/WyXcW4WopnZHi6RIprZPh6Wi/LHL5MNJ0VAqhiiDMw/zlQX9avgP7JIuSv/rX/M//Pd5cvwfmfRvv2t7/Nb/7mb/I7v/M7vPfee5ycnKgb7p2dHSW9/+//+/8+v/qrv/qZ30/e6+/+3b/L17/+dU5PTxVI/pWvfIW/+Bf/In/qT/2pn9r3eAnOv2wv28v289bCIuadxR2+Mf+Q7yw+YlnEdM0mX2y+qiTw3wyuq4n8H7cJq3323l32v/ZNsveeEIUxYZESayUiWiuyrlKtqBu2CtOwMUwHy6ij1KQiFk5Di5OFyWChM1rIxEqJoeU0vYymlxP4ObZZkMogMRfP+oIsLUhFDvAHSLkpJSNVrCnAgAz0LCUlhFbLMgmoZwjzSVWP1oNkGdyIB70o9+VmxJwJo2zCaTRmntWDx8BwWbM79O02LdMnrlJOkhGn6ZhIJpDR6NKhXXVoVi3MXBhTOkmqkSR1lkGyVF+KbJZMeAcNCYNGQ6fR1Gk2DWxHZNFqaS0VwrI76688XmXZDYTx0aW/06XVFXuBl8D9y/ajNyXBdv+I8r3HFO8+pppHaE0P483L6BI3tmqPtB+xTeOI37n/gG88PObO0znpqIk1X6dJh5YVsNH22d0ylZrG+mZJ2jnhyHvIvek+y/d9ek92MAoDN7VU9lIPO3MpNI3MKDHFL3nTYueWz/pFC7+pYboVikwnHuVhyTBc8o73dY7bdwiTBO17LfpP+lzO+rSsNrnvkJslejTF2zvCe3LC0q94+GYXbW2NL+8ZhO0Zd67OiBYb9L57jXK4Qeo4ZAISXDmltI4ov2vjvNtFj3WsayO2v7hH98oYIyhJRaZZN1gYBpnmsMzaDJcNGochb9x7xJWnBwo8Ecaf7osHsjD+pO/Wfd9V7P6vdUvuOjmxXrFRCXugYt8Z022M2bUy5Gy8l53wrdlT9qM5ptEgsC9RpWvMI484b6BrFq3C51dOm/zqgcbOImakDfhW9z7ZawGXrbfRHvcJOgWNXzwk7u0xq07rG9mqwEttnETDDkvMsUFx1CEcNlgOmyyHHWaDgNmJQ5HJ+ddk1hwyunabvc33OG4+JiPBig1KYSjJzaC6WayZAzL5KhOp6gZcit+Vl7RMrqz8CFfS/srXsapl7TSRP5C2wqdkWVQY+pMem9EG68YaWxsb7Fza5uKtXTau7JCmLU5GmmLaSwwmtV+qvFO3pdHvSMGU3ETXntbL0ZLsdIQez2npCzrGkp4Z4dpiISLAfECuyfa1SQqHwvCwGw5ex8MVwN5zmB2VCqgfPs4ZPsyZ7OVq8kEuXp116G2X9DcKWkGMkcYYSVSHMDG0nIURMtYWDP2EsZswcGIGesRAWzIoF4xLAfCfXQ+a2Lw+1HllL+LCkzGuXD7X10k7TRK9ItIKIi0nJGepcsqclEVSkIxFBcAmOnVJppZis9CpcHYqWpdM5XncXe+g5z7hccniccH4fgJTHSe2sBILJzbR5fsVJZZIpJulut7WIexs8eu1FANystHlpNviqN3g1JVJGgH2DW4ENrd6Aa+tNbjcdfGazxiBn3pOqypOosEKsD+oAfvZPvcm+yxkck+B9j5WtUWg1wz7S60LvN7f5c2tNq9vuLS9H40t8eM0xZIWewKRD89FYr4gzkvCvCAU1lJR96PVY+Eqq35WMk0zJmJd8AnjpIZlnoP2AuJ3XZOObSl2cGcF5NfrLeJ5qQD7J48TBdrvPUmZTPKauS/eonFMGUWq8KMII4plRL6MFUtVzYfJBJJp4HY8nLaL3TWwOiVmO8doZGiuFE6kxMIsCSuWc5NwaSj54no7iPS0rmwgZfJNpuVkP6rED11k8JOCTPyBBbhXNPeaqSOSuhKmhMhZq9GZIVN66n8BhT3fodF0FLhsei6F7RDmGuK8ICFMsWVWEctElfJFlXFtpViTYpXh+xVeUNJoFPitnEYro9XO2NjI2N4q6HZzms2MyhRJUfGazyi0nFK5zkvU5xk1NVjCaeJyEAYcLH2OogaHoU+U16C/a+R0nQhfvNqNDNvI1eSsbRTnWY6r+sxYA5QigC+TmkUNh5NIoZoUxiLnJZO0tFQRm+S80tUkb8cO6doLevZS5a61wNVlolssMzVGw4Dx0GM28piPLMKxTTbTxLOJKiwhrkDsnsKKKqmoYiU4Whc/CKNcVFFWahC1vHj9eeu5U/XMlaSspnzCheElksF1Fl/eurjELm3czMDKDMzUwEpMzNjByEw1NpawAgNnzcDdMPGVTH5Fw49pmku8ZI6zXCK4kPicstapZfDXV1nA+4818cUeJznDOGMYpQxWWS3HGYNVX4oGzpooYsix1hfAjpx+FdPLQ3rpjG4yplfOaOu1XYFMpCsWkuujuUHNsheJUpEuFfBell0B8RvocsL8LOeRouThPx/xu79xghto/Bv/u4BWq6JYppSrKKYR5WROdrIgebIgPY7JRAEilYlrKVYpz0MsgzXDRHNM9IZI1VqUYaZCHXsSym+5Dt2u0F0Nw9XQXQHHNXQBycWTvWkrAF5veRhtF73jY3QCVVCt2a5U7NQT5+ECoqWKar6gnM4ppkvKUM4BK+BfcmlSlg5ZYpFGBrkKKCTikjIqVHGAAhLz8hzkL0yL3HIoTJvKtzF7FlZfx2vmuK5c1xe4QabAe7dZYDZddJEFWYH2SiXhDMwPmmr7fNZzvAKFpEBOgUHSF3Co9sE9W1+kmWKGj4WBv9AYL2GwNLi37HAUOsyGS5hOWRxNMeKMCxa8UcEbpq4K1B+0m3yY2ExKHS8weP1NT7Hq33zLV5YqZy3MYr5zdIdvHH7EvdEeUZ4omzu5t5X+GbM1E2UYKZKROM4os0pJEtubFq0LPt2LDVobAb7l4pmOKraULBY+nmnjmray9BHwP7A9Gtbz2VVZigI+FVQWq4Rpwnt7A949GPLu6YgPx1Mlj29ENhvLLk00RCOoWUGzKOnkFa0MuklBJ0YpTgVyL/5xDQ0BeTwTXfzF/TrLsiZZAHKxLjCE2VgTD1QWIDWtGIRwupTQOY00TmOdQawjQiq1rXZFxyjpmwVrRsaaXtDXM/pajl8WjHU40nT2TI09y2DPMRivGN5uVbGbFFxMCy5IJAUbmVwPf3g7B+kly7BZ9nvxVf8U1EJt32TByfyE0/kxJ/NjhsuBKtwQafde0GejuclGZ5ON3hatRkf5xmuWjvu5DsaXWjw+eqAk+x986wMFmopnvIDxEsLO/0HjtidPjxUg/y9/913iOOXWa1e58MabNC9epuGZNFdS6o1VBKsQ4PUPoglTf7EseXK65P7JkqfDmKNxyulJzvigJBygbI+KyKAsayBRxuKaXIXLFKNKMSspUkvVfJdggSv5pHPfcbXuOYsNUfAQlr7KVm2BU0d9XcxNh6mAmL5Bo2dx46LPKxdcXtlwudq1f+RtI0oLIrVv2xaWVCSv9g9lB6LY3cJyXlmKSFZ2I7Xiyfl6Je3+4vNUrNaF0wWjvWNG+2KddcLo6TFJVBc6aCvJ/d6FTbUP9S5s0NvdpL+7SdBr/cBzhDD5EwHyBVyUWP1Nyeo+c/X5BYgsVjYp4k8/G4yZDSfMhlNmp0Pmp0MWwxFzsUdIYvV9UlFwkSItqfKpCrTqDNSW95eCSU3NcdbjnDPMtx7nyP1rIMJErkbThYZYZ0ghc+GQhy7pIiCeN4mmTaRU09FsHN3B1Kyaua09C/X9Vb8uyrHsCs8rcNwcx8txnRzbyXHtAtvOsaw6bDNH13Ki0GQxN1jOTJZLiySzSFObRFQDcxPTFSutGMNYQDlnnBUcli57tDiw+8SyP5YL1qMnrIdP2Aif0PdSWh0Py5Tz47MCPDUskvO65ZIZPrHZIbGaxGaTWA+IjYBY94gqm7gyibBIJFeWWpami6S/lqsxqSgkOlqtlGhrBa6eEegpDT3B1zN8BRjX4LGny2syVaDqaRm2XuCocZeEFDkUZ+ZkKysEGR/UILYUAEapnBM1FolGWJiEhc2ysFmUropQb7I0m4RGh4XRZqp3iM0GpeGgmzL/bagCdbEskfGtHCdnwLe8/3kWBYvnlmWf/HiT+WB5r/o9Zbxbv/fZ35B8tk6X+BHZ/mfFD7K/ynz0mXqbWJaIgob6bMp2QHkYnYccB5ZW4pkFnmxvCT1T219+E1dL8CT0GI8ID1H9G/PN3/kn/Kd//2svwfmfdPujf/SP8tu//ds/9Hn/7r/77/Jf/9f/Nbb96dWnsjn/0l/6SwqY/7QmAP1v/MZv/FQAiZfg/Mv2sr1sP88trwpuh4/PfeoP08EL8vdfaL7Clt3/sf+OYiDJYEbXOE0mHEYDFUfRkAPJ8VAtx+L3s2pdu8WW12fb7bPtrbHjrbFm9WHcZ7Dn8vixnINl8CLMGggCkW0HzxN/VmFxyYR+iWlkWHqGIaFl6GToWl39qqpsxZsryZQsoOTa9zMlXGaEi1TJf4p0UmZEzMo5o2zGKJ0Rl6ka77bsBmtuh67RpWW0ldfmIF4wjkMWiUycWDilh1s1sAsfvRDRvNWM9GqoZ9uV8sT23BJXwhFGYYktLC914/Kcf+JZ/7k4u6Gob3JWz1E3FyWZ6FqtmuVYrG136QtYv92t+6vcWW//vmTcXraXTd2APz5RIL2w6qvRAs2z0V+/WPvU39pFkxvTH7HJTeyd+RO+PviQrz99xNPDFGO2xnp8jXZ4ESvuKIa9ALIbG7X9hdcPWWpz9ooT7iZ7Sta6NQvYPd1kc7BOM/aV1LAAtYkOiVGRGRqFX1K1NOymQSuw6TRsDK9g33nCnnNfAVrzscNwELM7WfLqokvX6pF3G+S2hhYv8Z4c4R6dMmrknNzssJ43uDLKuXdrxsMrEdbpFuvfvEYx22DqNkgbOfbuCXo2RvtWA+tpoFjoZZDgbixwL83wLs1obixx3RzbKpUMa2j6zKoGFB4bS531aUp7OMeahZTLiCpMVC6XMZVQruRcr8Ptyy32vnwVZ6PLxKh4z57T8he86uV05YYqynjnvQ/59vvfY6Pf5FfefIt1d4vHp/C41NhzPQZam82Zy68d6fzCqFTnxd/desB3bz6iWINL+Rava9d407pGo6VTNJZE9oipdqQA+6KUm9kMJzXxU5tm4dEuXfxMI52ZTE9sZic+i2GH+aDB8bjijvaI084+pV5S6gWVZK0Gr7IyP4+8FL+8gtKQ5xRoVrmKSmVMYf1J1Xz5rEJempK8K8ESUCxBlxvfKKNallhJDewEusu2u8Gl9Qvs7m6z3t7AYV1omBTJGst5m9NxLSMoreHBZk9jJ0joJBPFrj+al8yLnEAL6Vkhu/aCjhXhSj2YsBo1l7RySCuXwgwwOh28nliruDht0eEVae1cAfYjAewf5YyfSkX79x2Yz6QC5QIp4KuwM8oaghPRR90QALEkN3Plyy0R2xmxmRKaUkS3oBE+ZG3+EFtfYLlpPYFjFriVjlNo2AXYRYVVgCGbV0BNuSjmGklUEIbCkhYpyxr8ta2Vb7pr0ggcLNOiFBuJy29SXH+b1G2RaKaKtNKIlhnpLCSZhiTziHQREc9ikmVKGqZKtltJdpcV87WA6VaL6WaLxVqgVAOsJKc1jdmoSnZ9h8vrba5stVjbbdLdCuhuN5QP8A86/xwuT54x7Gf7fDR8yqPZIWGWK09VwXtNzaVlNVgPGuw0m1xoCfO/oST3ZXwguXmeA5qrZVFz+FloaSFAfc36FbBeYnrWTzPGca4el3UzYQYLLTDMz8OOS/y0wkvleCmxooJK7IUGEXmY12Cq/P6BRXszoLXp01nz6W74dNd9+psBfstWzAtVfKPGMDKWqZcVG0OAskL8phOSbMFskjEe5JwexpweLxkJI1iA+ExCZC5LxdKS87yA28Jml31TPF9VmIaSNW57Gk01ZrRwfAvXFWlTE1yxXTAYzgpG84LJouadq3Gbrik567U1l96ay9qaQ6/n0O9Ltmm3bXzfUjhamlVkqUR53l/fsFjf+GTm2lnLipLH8yX3pgvuT5Y8mIU8lH1fjueqou9pXG3pXG5pXGqWXGyU+FZIWsgY10bXbLTcRBNVk1SuTxpVWFDEFUUi0t0pmTDJkkTJZIvHtGBIUq4lfCY5YjNTI7dNMtOgWGVf9/CE+Sz7gUhqp1k94W6mGH6I7oUYQYQZhBheiGaWanuVlU1WtEnLDnHVJdV6xPQodE8peeXLgmwpY/JCnS/kN5Rtplg7ql9PRoocrPimqlyKtHeKlucY0s/FNqrAkMgLdGG0CR6ca0rxtMw0ilijDE2MuYex9DFjHyvxcAofO/eU8sr5b2CkpGZCqifkdkzpxGAlqljEsXUc11ZKNn4rwO+12LjYoXfRo71l0dm2cJo1M18FdRalraJMmWYC2guIXzKKC0ZxxSiGUaIxSTTGsUEq0lrS1NRhpSYzXX01kWnIRPKzCc1nk8u5KtLw5XFTPHpFlaBaqROI8oRR+8HKBLiqZhOJUhO9skn2PL77/9gkOrJ4+88PuPrGFHORYswTjLDEyKVkRfZ/QzHFq6BFNA9YPLKZ3y1ZPhSwvsLwdbxLLt4FB2ddCpxRcvlGw0ZvueeMd8myXl1/0wQlXSE5jc6XK7FiOX/s7PGY6uy5Z+ihMNmVskAAfqDy+fJ59j8TKK7GtVGuigmKeUz8aEp4e0h0b0zyaEJ+slBFPwI4i2RyqosHsE1m2uSmRSGqPDa4jRxP2PZujOuEalmAewHwnXUbY8OlEiA3L9AK8eUt6r74EOe5YlO+oJf+w5pSyhG/29VvK+zw+ZRh5vJRfoEPi8vcXnQ5HWSEwznJcIqRZuw4Gm/bGq8lJb5pcq/R5C4uB0ldvHLzFU/51AuzvtP99O2nwK4iU/fxUZYq0F76izji8eMjbn/0lId3D9l7eKpkrW3PpHepRedig+aOh97SlO1PlJ2B/THzJFTHvWK4SsFV8SybpYZX2viFjZ9b+JmFl5h4iYUXGwSFgy+Pr8IpLUamwX6gc+TA0oaFUTE3Sha6FB5Wz4GeUhRUFwG1XJu2hO/QDpw6y7Jj05LitVX/LDeeU7T6LE22mxQGHw8KTgalykenBafDgtNRPcchTeqD1vsG2xsGb9yyeOMVsQfRmC4zHo8yHoxSHo0zHk1SjkO5TtSuDRcDg8u+wWXP4LKjsWvrarymtqNShqme9eUiIENiYdcLs76mNat8tk6B+Gese/Wc+vGSktODIw7vPeLwwRP27zxifHCq3s9rBsqzfv3KDod3HvP0vbtqbmP3lSvcFED+F9+if3HrB26nJM346tfe41/8z9/hwztP0RyPjVdfI9+9yVTz1XPankGUCVHjk+EWYRk3bOMcrK9B/GfrFJjviP1Wnc+AfXFuEXnwk2nI48GSRycRe8NE2f6MZiWzRUUYasSRThYbFKmA7nUB3LPjs6IyC3QBQN0C2y3xvYKmAc2oxF6K04pBGFuEUjwkRXfi1434qic4RoSjhdiEWNpCFT5KAdHZWOmsmEhZccv5RCkASWGypgqQtcTAMzxco4GhuWSFTiRzRnKRaBh0ejYbmw67Wy5XLrj01sUiyMLvmPgdC69tqUKAn4WmikPGM0YC1O8dMxTg/kD6J0yOTs9tDMQSobu7XoP1Z+D97gbd3Q1l6fBJLY1ipidjpkcDJidDpsejVX/E9HhIvAjV88RGJfZb6FtbVP0N8laX2G8T2j5z3aEQ8pGoJH3C35Dzg29JQWWl7DbNMsOQoowsQRP7PWE1T5YsjxaEx0sWgwWLUUiaJcobHjtXKi+2Z2CID/sZqC/j2oZPs+HRbEmRnU+nHdDuNmgr26iAdruhHm+1AqUi8fsBZrO4YDnOWI4yFqOUcJStllMWo4xwLOsz4llW2w9IgXCcMxf1LClYkdtDU4rYU1rmGNtJSBs2WcMh9j1iw1XAe1iayqLgXApslUytwjcE0C3wjXKVn/UDs1R9Xwq7jRKZgo0KjUisSTJt1deVVVsi+3+hEZcGcamTqGyQSbGvApPVnnbuTy+WdqIJ0NAiAhLFBFdF4/J95DOYouqarAD/hECP8bVIWQs29EipGaj7b03UC+p7cbXpZQJL1KFEFcz1sP0AWwr4ArFaXKcK1qGxQ9nYUvMCK6HZus5YlC7ijHC2ZDldKiWycB6q5XC+JFzEdV/unaW/iMjEIkidjupzi7DzbcvADzw8Yd43ffyGSyD7x4qJ3+gEBO2ARqdBs9PAb3hKXeKHKdUpkD4V5Z9SFTJLAUOYSBb7i48vV3X+2GOyLNMZoojxu7/7u4z+p//9zxc4/5f/8l9mY2PjU5/3N//m3/xMz5P2N/7G3/gpfFK4ceMG9+/fVyz5X//1X1cM+UuXLqnqkK9+9av8Z//Zf8b+/r567l/4C3+Bv/f3/t6nvtdf/+t/nb/9t/+26n/hC1/gP/lP/hOuX7+u3v/v/J2/w3e+853z5/2tv/W3fqrg/H//3//3bG3VA4uX4PzL9rL97DWRYTk+Plb9zc1NJXH7sr3YDpMB3158xLfnt/kwfKjA+x17jS8oVv0rvBZcVeD9T6Mpn8JswWFUA/VnoP2RAvKH6rGz5huuAuw37Q2a84vo0zXS2CAJddJYU/0s0RUzIksMykJukla+TKuqRwFj5CZJs1N0J1VZAjtRUakcU9qx8sBNQwMjDdjSLrDOFu1yHTdvM1+WnMxC5lnEsozURKNMAjcdh7Wmw06nybr4bwZ1AYFkkaQ/WxZfY1vuoH9KTQoORkcTBocjhpIPRgwOxwyPxoyPp+dVlzIJ0dvsnIP3azurvN2lt9VVMlR/kO3l8frz1dSE5sFIAfWlyN8fT5TEov7qhRqof+2iAu5/nDZIJnxz+CHfGH7Ad8d3SRIUUH+9fJN+fBVt2mN4qq380eqWGyn723d4fPF9IndOf7DNzfuv0T+S47fCL0EMKlYqnkht9KJcRQXLUmOJRiaAsJmjGSVuK2Xr5oK1zRGtxyMaRwaW1SRZb5GJ926S4D89xjodMGglLNccNuciERfyzeuHfO3CAadVjjkPcIrWqlgno0+HC8uL9A62aD7s4h15mKHIwOpkrRRjZ4G7uaS9M2V9Y4EnN+gi2St2HQ0Pw+sQeBv0WxuseQGOYdRMhBVYX4xmZA8OmO8d86CjM19rsGfkfM1aYrVTrvsZW47I1FXcPZzwzrv32Fks+T9cu8zbm69iHvmU9zUe2hbfvtzhI/FuPA55e1Dg5AW3mxHfXFvwzfUZoZlhxiXWtMSeVQSFhW9bBC0Nv1XhturtaPhJzejU5Hfw6GpN1o023cqmKaBLMVNMkmxuQCYsJvHjrTlPWtWgqgK1jtKnKm3SqOR4L+J4P+Z0P2ZwEDMZ1KxOuf9p9yxafZtWz6LR1XGbOqVWcjqe8XBwzMwcE3oTio0ZWX/M3D4l1GbkRUIm0m9FIT+Vqv6WuVxHNxXry9dcdtxNes4WnraOWa4p9YE8ltzH1husBSY3W3KjHrKIC46FOSU2AFrEjrPgUrBk3QkJRJJeVcWXZJWtGPaFFWCIPP7GGm6/iSMeupqmJuWiqUzKCZGuolDqAqu+iu/vl0lBsUiVZHCxzBRDshAgIhRPSSmeEExAUyE+jouFRS6+D8Kz1StarYxOK6XTTmm3UtrtlGYQo4vsX1n7/6nrrab+ZxamPDoOeXK8YO9kwXKZqImJfkvkWEM2o30lEx9cuEb3+mv4rU3FHlAVDg0fRFq/+VyWdc/JnIqH5XQ4ZDo4ZTocMJpMuDuPeZRojDKHaREQak6tzp9UuNOUxjzFXxSsaQaXWuLnHdDbaSjQvrfdoKP8hf1PnHzIy5yD5TH7iyNOlnPuDac8GM95OpsxS5ZkLHGtGNsK0Y0ITUtfkJs/a67hKLD+RfC+sQLvAyzdUgUCErIdVRGecKiVB/hqvWTFrq6XlS/4WV+NeT62Xv7J64uCJIzRc4OW3UbLDaRaqYqgCvVaXnoBooCYLyryWUkyKYhGpcLEskRTTEAB9hMB0DUpLhEsVKRVpWymUhNOpalRrSb4Fa3ihYtG/Z8kTatq5pDsY2fqksJCV+yMM5lt2f9qdrzva7SahpIB3nBL1u2crlnQsQp6XklD5EmFBy+WFq6L7gVEVovQ6rC0xHTCI8wsZqnOdFEwnaRMpynTmcielgpk7wvgvubSl74C3h0FxEvfto3Pfl1Uv8OznJbZCrgS1mnMOAl5OJ3xcDbj6WKu4iRckpc1oNuyK1pORcOq1OSjFMgU1Rn4VTNXkyJdbckfsZ3ZS50xmz+pvzJ437J73PIvcqt1mZvtq9zoX8MJmrWklFerWChgUBi01ZSkOFnFKUl5SlIMVpKhsls0cI11HGMDW+9TinJAGVJUdeSSy6XKZRV/3zeUa6eh+Zh6gKF5qq9rPhoeFeLN7lJWIn3uKY/aqIiIi4ikTEiLiLSMidOIJE7U8ZCOcvJ9nfLEoDyx0AY2jBz0iegNC9BRT4jmTkRmh2RWRGKEJMTKSiaLzvZZTWxJaW6WtLagu23S27Xo77p0dmyafRtDd+oiCs0+L6gQlZoz1+u4sJkkumLbPh3MiQthmPvEqjZGVDFEtUEUMSqlhCFqGWGaq+OxZqcXL7DU5VxgUuAjoH6BrwuTTID8kp4Vs+kuWLdDZv/fXU6/s832r+xz8y/cV6z2WpZGLGAaGGZbbW9TCzB1AXp81dcLn/QRRO9mLL6ZEt+P1THubDnowjAWEEHAPKu2MdHsGtjTz7J6bPX4Kgvod/64ys8eR0B/mej2Tcy2ixGYtVz3j7Lvi6l7nNbWBvHK4kBC1st1p9eCblOpJZRpQXYwU/YA6dMp6ZMpyeMJ6f68ltGXcC2KlkkWVGTNgrQZkXcjtO4SvRmit6RwpZA6h7p4QQ4Z+Y7Ph1Fb8NRMNwF8RX5XvqMU9siyvFCW674ufaX5Ic+rs1utE0wCzOMRnOyRDQc8jDp8lO3yfrrLnUOT8WlIPJpjFhkbrs6XmwZvRDndSueB7nLX8XkcG1SeyZVrLp//gq9Y9Vvbvz8QWm3qoiIeR9x59zHvv/eA9z96xIOnR5SZKHJ43OpscitY57rVp53aalwimiJLPSV8LiIrJfQLIi8ncnNCOyeyMkIJY/U8LWVJQikqfStmuALfV59F5Kd901Hsfd9ycI3acsnAoapEgNpWliHlCrARMFM8muX4EwBYjrk0LxVT/IXru0i9mxrX2wFfvLTL6xs9bvbbCrT//TYBXofjkpNhwfGgVKD93mHO470a2HnlmskX3rT5/Gs2zcYzkG2Zljwe12D9Q5VTDmYiy1yrTF1sW1zt2Vzp1lmWHaUS+JNtIt18cPvReZw83FdKVLf+jc9z8ytv0ei3f+h7CEv+f/qn3+Sf/dY7jOYx9uYu5uVXaV68xG7H5fVNh+t9nXl2n6fzpyQCBsUVy1hXFlKhKBOkRq1MmNT2Mmmmk2emiiLXlWpXWRgUUoAk80XlM2D7HOA+v8I++7ErUVCzRDEkx3IKXL8k8CvaTY1eS2dDbJD6DlfXfa6uNdgSKfbPSIKI4pK9I/m9699c8sGxMGfrx9d6Ohe2DC5sm1zYlmzQbdd4kCgYZGWhxgVpkauimQ9OH/HVex/w3QcPyGcVa9Uat5wrdLJd0qnH8XHKcJCSzaTossApUQCyFCp4lo5jaXhNU4H0ftciWIH2CrhvyXlKVBufsb/lmDtjhcs6Bewrefaa6a/yqhhGWTFqz54nilDLrGShorYPcwXMFuUFS1P3C9IXaxzZb5UFy+r1wmSenQwZHZ4w3j9VoP14FWKZUP98Fa31Lr2dDdqbPYYnp8xPJ6TzkHheg++iZpCJAs3WNtXaBnm7RyLguxMo8D2Wa/UKfJdjaqNhsh6YbDQMNlSul6XII1bni7PrdA04LmU/XS0v5zmTxxHLRyHR44hsL6aY5rW6QGBQbjkUO47K5aZUfgnBoMQVoD6NKZKIUhVaikJVRJ6IMlWdsyiqI5br8apcZDXGVuMUz62B2cBXcumSA5FNb/h02wGv7LS4ttmg1azBfM/74WpkUkwbTfLvA+4HxwmPHkUc7MUMjxPKRf7M5kB+055FsOHQ2nTo7Dj0dzw2L7lsX/ZZW5Nz1A8GhH8SLS+EAV+yjEuVF3Ed0g9X/UUi4ylouDpNVyeQ7OlqueEaBI4U/Rpq/5TPq+Bf8XtPQ6pkqWT6q3hKtRhQhQPKcAwi4S9e8ckC5DlJJJWlL344GQc4nlT+oXliddRRIL7eWEdrbqG3ttBaO7Xk/6c0sXQQJYpoumA5ndf92aIG8WV5slBZpPfleDkrRnm+CfPea4mMfoDfbuKtsi/S+u2G2qfE0s+ybUzbxHIdTNuqQ9Y79vnyZ1G2k/r++4/2ePPzX6YMj3++wPmfZJMb959G+7N/9s/y7/17/x5//s//eSWp8PE2GAz45V/+Ze7cuaOWhWX/SRL39+7d47XXXlMT+F/60pfU8zyhS65aGIaKpf/Nb35TTep/9NFHCrj/aYHz/+1/+9+e7ygvwfmX7WX72WtRFPFP/sk/Uf0/+Sf/5Avni5ft+1tUxLy7vM+3F7f5zvwjxvkcT3f4XHBDserfbtyia7X+wD5PmMc1414B9jWAX8dQMdllkCmFA3KjLOC4IV71siz/Sgs9c9FTFy3z0FIHLXMhdZ4LmzJxqBKLMrWp0mfMJlu3CEyPlluD7IkzY2oPODUOmJoD8CIutFu83t/m82sXeWNtC8/52QeThZEwPp0poP4ctF/F4GhMLjMRqyrfVr/5AtO+BvB7bOz2sN2fnL/iWXt5vP58t/JkSvneoxqsfzpQTBTj5g66+NS/eVlJsP84TSYd3p3c5+vDD/jm6ANO4rFi0X++c5Mrwa5S2pACni13jbblKxnZb8UP+c3lu9xLj9g0OvzJ4HP8snuTbGAy+KDk9E7OaDAnr1J0s8CSCmphO4gKr5GxNFIWucHpLOBw5ipfYau1wLl4RLf/mIunC3YGDWy/T7QhVfS2MjH2DgcY4wHDIFT+6OuxxUlvzns3RjxaiylHDcr5ljpHFXqsJv7ZLDB7Go2hj/vQw7nr0nzUoTPtoQu7WuqduxFef05zc0arv6TdX6qK+tLJGAsbyNWoWjaW36Yd9JQUaFblChxKqox8HOJOxPdV40lyzL9K7jJuFtxq+bwa+Erm8FG04NuzE54sJnQtaOrgljp6oqNlhpJ5TfUOrwwu8vlBmxuLQE0q3+8lCqj/9tqMyNRwCgc7djFCk0IUysSGpBQoplIyuMIAsDwd3ZLCqRWQJayOvPYxPvtnac/8+8QD3tBEkrqeZBB5YPGRN3VLhaFJFqDDIllqRPOS5TQjnOYqBGjR5Qa7adFr2uz6Hhu5Rzd2cGcWs/2Ck0epAl5Cf4J5aY62PiNzxiy1IaP8mBPjlIUZUtg5haKQy2fSqeRuMiux5LMLA0Zk+ROTKvWocg9T8/BMl3XXrQF9fQfYptJaih2w60y4EszY8RN64tcWpTW7Tsh0uktlNbDafaz1Hu7GGlY7+JGl6V5osrMLRWgRgUxSLcN6/w8NJkOD6UhnciqhMTuFeKkuEGqyrblh0N616Fwwae+YdHYMlU3nxfvT4emSD793yLvfesydDw6ZHg64ljzk1fwRbT1k6TXY27jI+OImVlv8vMUyZqlAyLBMiCqZeC+I9YJQz5VVzpn/nzKw/ITtIMdM272Aq69T5m3CvMVC69T+x6WpLBeccYp5mhAsc4JpSpCWdDdrsF5Y9nUOzvvCtH5x01UMliW3T3LunGbcORWgrGZVXOyl7HQSNtsJhhGyzEPm6YJ5tlR5ofJylRcqpDhSpoRl39YVMCOC67KPy7imLkJSdoiCwYkMrUwqKzlmYcGt1kkxxqowQzGrVgUceVowW8yVhLppuKuCDk2FyGzomYWWWpCcZVMd7zV5fAVwCD7mg92U0HGaGm5DJm1qqctKzym0glwryCoBWfI6tKxWutByVcBRSuiiaCHFUSWlURd21IUExaqooJZIVD0l836+1dX/ijV05mEqcuWmoXxqhSVvGfq536m1kkw/a/JNTL0eK9bnDkONHc+AdPnb0upCh/q8pKSbzx5f/f26UKJeL+Bt/cmeTfnUxRF1lvNebTVQKkuCZAV6y+dyDZ3AEisBj47j0/d8AtPFMZyV7LOrrnN1dnAMW51HBDCcjmbMZ3MafkCr0aQRNGg0mjiWlCnU37mWhz8Th3/ma3qez/49v7ySk5d2Eg25O37A7ckD7k8eqWuJjLkvN3e51b3Orc5VXule52JjR+2nn3yKERuqEfE5YF+D91k5UaC0oQvY62NowXN9Ad4FDF6t1+QcKkD8T8/D+sXPXBEPCxb7CdODkMlexPwwZnmYEZ+Ip3mmJO2zVsIsWDKwFhwWM46XIeWkRBuXsBDmlBQCCtvKoLnuKPWI9d0mO5e6XL6xztWbm/R3Wkqm/0cdC2dFwSAWSf2EYZKqmEgoGwtRv0iYxwmLJGWRZgrUr1ljsu1rZYkrd0yu/Asdb1tn9y+a3LxWcamZE1hLVWSYV1IwsVwVTiwpqlrSvJZbrxVb9MRAm+roM12dQ9R9V2qjJTZaLPdaDkQ2VeRAaFMuHIrYrBUOEjkXiT1aDeh+1iay4mZgYjR0rIaG5VVYfoXlVBhWgWkWGMaKvVZl6GWGVuR1IdDzu5FcQ6TYRIrA5Dp4NifqOlTdJnnfJOtpCnjPfTm3LUhjAegnpE/mlHsp1T4qONWeAeY9G33Ng06Dym+QG55SyRAgTQqdsiglF894ObEbYpEh17YSza7U9zHlOzU0jKA+90o2PA3DqzDEEkBsdRzZXnImTdVxJUuusUnTuklQXcYdlXB8oMD6ycmMj5Y9Pkx2+MZxl8PjlNlgiVHk9H2DL69ZfDEr2A4LHqaW8qm/l1rkjklvy2Z7x2KjZ7DZFHAK1uwKNysoZhnlLK3zXPpZ3V+KfvuLv1mi5TzUZ9xLBtxZnrK/HKvruBwD4iEuXruubyuLNi9w8Jp1dl0J8WC26+dJrPpn6xxHJJI1Cq0kN3KleCdzCYs0UhL9YZYQZhFhnrDMYsXaX2bRKsdKql9ymj9T9Xu+yTk9L/XVecnB0F0F8h6dLIkLKQrrq8IJUcnZafq8vt7jrc0N3lj/0QF7adNZyXc/SPnO+yl3H9b36dcv10D926/bCqT9eBOA8Mk046Fi2Kc8HGXsyW8ilk+axoW2pcB6AeoFVFxX4KKh2ON/0HZ440XC/+ufvsM/++ff4tHDfXLTpXPzFW5+4XP8wo0NXtt0uNqFDwYf8Zvv3Oe7H0WkJ1tY8Yaa86nBx/qqdXa9O/sOggObVoVplXU2KyyrDlkWuxQZz6qCjuek5MX+pRXobPUsLq/5XFn3udxr0rTrsdkfRBPg8FgVaBQ8fQ60D8UmRogrnrYC6k0urgD7zXU5pz/7fALUv3N8j9/de5ffO/iAcTSj6QR8Zed1fnHnDS63b/BkUvHhfsSdxxGHRzEsC9ykZNvU6UvxSQFuWpLIvdQkI55L4cenf251RirFmkeKTOWYqW16zta90FcK2Ktx1Wo8pRQEzschL1rcyMJK6X81Vv70vhq75bkKuWZLiCVIoueUvtjbdChbLmlgE7sWVcNEyc8EJq2uxdqGzcaGw1bbUgC8HCMbgUHX++z7gADXg0cRx3cWHN5ecnR7wehppLaf5eps3gzYeqXB9q0GG7d89JZFnNfFCjWYL2zk8nxZbjXVtpMx5mrbqktw9WKW60wS1+zpJAqJlhHxUvoRSVhHGoak8TNAX5SLZBwrY2elNiGKEq5BT1jUgUcjcGk0a6a+APpN8T6Xded9TwH60ret71eLkm2xGKRMDhOmhzGTI8kJ06OEyUFMKipdq+Y25J7Sob0l4dLervudHZdG364LPP4QNXU/EU8pp4dUi0Oq2QnV8pRyOaKKphDN1A14JUpDq/uUuomiiYD4tWqQgPiaLyD+GlpjHb25hdbcRPPXa4ukH1pokddA/cdB/HOAf7X+OaD/TLniszTLtjDEEsMRsN4+z8+D+LJuGUX8zf/r/4Xb2c8ROP+TbKrq6qcEzn+W9o/+0T/iz/25P6f6/9F/9B/xX/wX/8X3Peev/JW/wn/1X/1Xqi+M+1/8xV/8vud87Wtf45d+6ZdU/z/8D/9D/sv/8r/8qYHz/91/99+xu7ur+i/B+ZftZfvZa3Ec81u/9VuqL4U7rviUvmyfqcml61F8sALqb3M3eqoGbFfdnXOv+hvehT9UfuYyuIgiKfSqOM5PuVvd5f30Dh8oRYGcvtXh842bfD64yeca12kYtazaH6bffDZa1ED9YQ3cC4Cv2PeHI+JlLZctv3l3s83mxTW2Lq2zcZYv9NWkyo/aXh6vf3haNV5QrDzqy4dHypNe/+J1zF99HX279+O/f1XxODxSrPpvjz5iLzxRBTsfV9oQmwwB7Svb4p425l5xStvw+eONN/hfNd6kawTkIi/7sGJ4t2R4rySdlQrza3QrLE8m4UVaVyTxMw61mPsjeHLqU+YWG22Niz2DV1sh/eERyekJi6bBeCsgbHloWY4znqLPRiR2Sruw6BcGh68mJG8GaNUui/01lkmBYR1jNI8Yri85CXJmdlnLlz+xaHwY4O23sCZtGuMAa2mj56BbKXZvjtWKcToxwdqSRieisjMSM2W/yPiuN+SoE+LaIokpPnUWu+UaV9It7MrilCEfhI85ykKavsWNpseGbbLIct6ZL/hwFmPrNtcMDSl3vbk0uHHk4YTrvGdaHHsavcpgYwHrkUGq53y0NuAbG3t8b/MIXI2+3eIN9zp/xP8cX3HfxM4tRvM5o8Wc4WLKLB0zN0fE7pzQDJlrEUtiJXcsEwy5MHaXGtlCJ481dJFuLnRc3cZ3HTzXwHENTKlaf85/T7GhKguttERbjyzUiecQjQtGmcGxazOzDDUJJ81Bp19arC08+nOH5szGmhgUw1rCXRhvvQ2ToBlTWhPi/ISlNmLsTZn2poz6E078U2Jb2Fs1g1mvdFxqkKKKLdKlSbpE2RnoWUlbc2mYm5j6DpZxEV1zKCuRMnxIU9ujbw7ZMmBT89jWfWxhzMk/XSfVNTJhK9sWlWuj2eL362I4AZYXYPlNfK+J7wQEdoBvi29rzcD/UZsUORw9XnD8JGS4lzDZz5gdCTtOJoXEw7GgbIQUnSlJc0zUOGURHDN1D4mMeX385hr5zCIfWeweJHzueML1cKFYTB9Wa3xX22HkNgj60Okb9PoGa32LrY7JmqXRSHW8DHzdxtNsfNPDa7Zxm20WTskBc/aLCQfZmIN4yH50ykAmOHKxQggwjB6esYVurpFZ62QI+OdglxadRMNblJinMdWTGc5phLECi9xAJg7EH7Bm+4j6zPNZWDyi/D5NK6YJzFIBnTVcR2etYbLWNFhvmbi2/txr69eLf7YA6PGZdL/kZbrKGXGYnU9gfl/TNBzPxA0snEBADbEPELZfzjzKmC1jxtOIwXCsJntbnZaSu66ZTzrNlkOjbRO07Zop1TKUwoTdFDawgENgBhW6L/CPAEBnUTO4JeR3t3QTy7DqrApmTFXoKMumIetk2VbrVdHNIsWaxVjTCGuyxJwusdIcKxdlDQHUUixTx+51SDbWGARthk6DoeUzRGcUJ4yThElyllOmaUIhvvdKcUAmGgsc5eep4YtagwW+qNibGp5RIS4HQspVSr8y0Sks6bPJZAXErCY/hQizmlSWZbHnVbLwcn5S+ezxetK0Fvavm66ZClC/1Ghxpd3ieqvFrW6Ha+2mKqD6QXYHcq07Oj3myd5THu89WcVTJrNJ/dM/x+87v/55Im3aptvq0O10abdadNtduu2OWt9pSe7g/AAbwU9qoiAhlg93Jg+4M36gslg/yN+XooHr7SsKrD8D7TdlMvAHymCWynP+R1beSmechENOo2chxQSn4ZCD8Fix5bt2h57TpmU3V9Gg7bTqbLdoOatsy2/xycoZH29SBBMeZUzuJUzuxEzvJsyfpgqRMAMd5xJU2xlhd8lROeLwZMbx0YLxacR8mJKPCpjKDHv9frau4bYtmusuvU2P/maDWJ+iX7a5/IVXSC2TJSXLomCRZyyLnKXkPFPL0cr64JOapRsEpklgWs+yYaqCkVGScBxmnEYp87jCPDB49R/5mKHO9/6tmJOrBa6h0bagb1ZsGhU7VcnFsuBCntApIxpmTsPK8KxCKQeUDcjdgkJLKIjrrMn1MFlJx774OUWK2citOjILo7QxSgejctArF710MUoXDRe9cNFKD2KRoReme0SVJlQiDVzI+bG295K/oQp75FgW4L/UKSqNoqpzueqXcuCLQphIzYunuK+jNyrM7RxjLaSyp+TFhLycqWvHGWBvFCZm1cAyOlh2F8tdw2xuYHnrWHobPfXI95fPmPYrtn0+WL743QVACiz0hiM0UVUYUBompW6QlwZ5oZHnOmmq1yr/YaWK455zg1u9EdgtC6dr0bihEXxhgHnlkKL9lFJPVVFLYF2nad7Er3YxBkOq433K4z0eH6R8uOzxeyfrvLdvMT6J1HdtBwZv73j8sllyZZiyHxk8rixOFhWDRGcsvkmrFpgVG4HGRkdjU4D7DZPtbZv2hoXRtjGalgKcjJaN3jTRhAX63HE2n4e8//4jZvMFsVjNJanyFVeR1LZzkuM4U+vOHo/i5IeCAgLgCIAvgNHVK9vcvHmRG9d3uXJ5G/sHqMPJ9UwB+Xn8HKh/1o+fA/djptGC9+5+yLyIcDoNTqKMeWywTG2WmU0oBSoKsDfouga7LQGaA2722ryx3me31aXvtei6TVWQ9cPOQfNFybsfZQqo/+h+pnbLKxcNvvC6zdtv2EoK/9OaqGQ9nawY9qNUseyFYa/UN1ZNGMoKrA+MVTZZW/WFHSyg3Y/bBGS8fZrwL9/b57d+69s8ePdDijRh/dIl/sgvv82f+OXXeXPbx7dzfuvBB/x/vvmE929npIMtPFqstwJ+8c02n78pY1wNW9jVjqZkp+vgvC/3c3+Y5qrkPDqeluw/x7IX4H4gRTgr1eydTYOtdYP1nq72B2Hdr/UMJQpye/SEr+2/z1f33+Pp9FiN2b64dYtf3H2TX9x9A8fwuTtIuTNIVNwdpiRZqdjOV7o2t9ZtrnQspVgwEwuksGQaFczigllUsIhK5uL/JIMmJVxZZymUbJpiHVADv2UREuUzlvGEaTJkFJ6SlyEGmVIpq6RYvjSoqlWUJpXYFek2tu5i4mBotgqxadFFWkX0k0oR7pbni9WATlnpIAXmq2JXsUCKRgvspGTD8QkKcMSeJSzQ4gKjqD/r87uMFJN7ohzQruX+pSC1VhGQ8fJKXUDWd0w1Pji6s+TozoKj20tO7i/Jk1LdH6xd8di61WDrlYDtVxr0Lol6h/azMwe4TPje0xnvPB7zwd6MJ6dL8jjCJ2PDKegYGQ0tJ49j5ouQxTJmsZBCg+8/D0vB7BlQfwba26vipLNv/PxxqdTC0op4lhMvCpKFgMQF8SJX69Kl0ueqyzX0WtXBXYVse6chXuqigrF60vPDjVU+X16d7j7+uHrN2fLHXi82oK7YYUmBmGfheVJIZuMFlsp+w8YPJLu4DSkis3BsS11n5Hv/pM5BMm6uFkPK+QHVTID8U0rFyB+vQPx5zcQX5v4Lv8vKosiUIkQXzRKfBB/NaaDZDTRXlILaaDIOthwwXTTTFn9UkOuSet2qv8oq5HqZ5aSxKDlIoUdIHtXqDqLmIOsKUXuIY0rpZyml3KepsVtKmdVZrGfPcy5Wdgvu3n6f/+M/+tbPBzh/NoH9k2wyGf6/VFssFjSbTdX/M3/mzyiw/vkmm1FAcZG/f/XVV/nwww8/9b3k8du3b6sf8cmTJz/RC/JLz/mX7WV72f51bLN8yXcXd5QE/juLOyyLmJYR8HbzFr/QeJW3GjcJxBDp56gJA+goHXKQDjhMTlU+SAYcpKcsiwhLM3kjuFYD8o1b7No/eKLxD3OTa3A4jxRgf/x0wMnTAUdPTjl+MmB0XE8SS+ust14A7AXA37y0hvdjsqZftp/fVs0jiq/fIf9XH1LNQvTrW5i/+obyqVdA6k+oidfl0coe4/C5LFYZp/FE3fjJfGLkm6S+pSYkbhnr/KorBTdXFJi/ZrcJjzWG9yoF1E/36ruzzgVo9SrKWGSeC8Iq5tgQaWI4GPvi4MXFvsW2Z7IdjfEPjvGmA5ZrFoMLAVFHJpULzDCCxURNmCrSu1MxulXiXtkmdq5wNDHRs5g184g02Ofx5pwTt1DMnFYsgFbIvLnHdGKRffgK1oMLtA8C1k5sGnGFJR6SVo4hbN1GTmN7RntrwTL02D++Rl5dUTLvokgcNEvczhjcIeIg0Wv16a41uZcNeX9wn1l1SMdeiHEvT4ciUZ4yyByqQMC2kht5xtW0ZGtmshmuE5g3KbV1jDzCzaa4WUJiZ3y0PuS31+7zW+07Sn5UJkd6Rpvr7gXe8K5z2dli19lQ59e+0SCKpszDAYt4TGIsyK1UqQtE5ZywmrBgTEpIKUwI8Rmeg3ECxlGJeVRgjwq8WYmbgdkyMDo6RkeygRGIpH1NpZHPoYnnWaJzXPkcEXCoNTjWGpzgM9JsQpkolxdkGu7AoiPbeWDjD22smY1niZydwWbHYs01aKcVjaRQMrbzzoLFxSWLzSWz7pxpc87EmTLMx4zTqfKjTlbKuqQ+dtbDK1r0dZ82Pkbepsr6OGWTNiZtZ4rnj2m4IyxhLUYJZRyjpxmWeFSKkLOu40pRgswkrC5VchO6rArmVc6iKgipSHWTzDApTEdFZftgevhWgG25ZFI5n0eEqTDKwlWOWKYhSZ58/AhX/5uFQzNcI1j28BZd7HkTc9JAX3iKaStMcGFcB+sazZ5Gs2PS6Fg02zbNrktgLuH27xJ981+QDk+ZO10eetd5L1rn4ChRqmnSPM9ka6fBzm6Lna0mFzcDLvRd+nqJJuz/ZST6oLUawHMt0SsOrYhDfcl+NeOgnLGfDDhcHjFKM3K9oxQhLHsL3dmmstewLBfbcOkZNptiwRDD5byiu/LAFX/FM590YSdlRU4uXt65FJWIl27GaJkxXKQMo5QwEVZ4hmuJX3iJb5c4poBIUjRQ4OgO6+4GG+46jUagQHaZ5HF9Ad0tVRygJn1kgmj1mPj4jscRe48nPH045snDMXuPx8wm9cTMprXglW7ErrvA2djAunQF/9pVWttrtDsujZaL+VOQt31xF6lguoDB5FmMV4BXliimaFWFVKWcFCs0kb7dvIi2eQE2L6C5/u9rrDJPC8Zi75NkjOOMcZIrBvFo1a/XZYTiaf4pTQ4fWybjDB3nY+FKwYAca+Zz6z7hcZFfleVN32Hb/+FFMUmasnewx+P9Goh/IrEvsr31vizg+uULl9jtXqeTX8ZarJNPXFWMkIlsex6TSGQRcRYSpUvCdMEyWRDGosyQUmkFlV5QaSW2a9Bs+TSbAa12Hc12gNexMdo6Zstkbb3NRqNPy2rg6d/PuhF1i3vTR+fs+ruTBxyHA/WYAN7Pg/U3O9doO/Vczw9rUvAxiEbPQPdwyGAFvp+Eoqh1QlTGZFqtziCKN8oKyRBV4nLFnNNrNQqZWJUzvkzaiwVDISEeoIbw9jGrM5UWi47ZpOMKmH8G2j8P5tcAv3wHeaznds63Rx6VTO7WYL2Kuwl5KFIX0Lxo077p0H3FpXPLRevknAzHPH50ypNHQw6eTjg9XjI6iVkME5JRTpXU51VjzcC5aOFftGhfdmi3HQWuK5DdqqNh2/i2eF87BK5Lw3HxPZfAc7GlyFUmxMV64PsPllrKfRGSzRbMZnMGp3O++fdzDj7UyD635OjLIYeazkmlM8Yg0TSl9i+qF7ZZYltVDYQ54FjQc01atkXDtPBWn7POBg2jJDALfC3DEw/XKsUmxibFqmIMYgxlZZBQVBGlZC2uJ/7PjFfPplWV37qopijd5FUovdxny+q3kaqbmpkp5+zqYz7m37cu1SgHNtXUA7l26W2soIfd7eJ0uhgCFg0SssGMbLQgHy/I4pxMGI2VQe44ZLZDboonvVxnLbKsIhNrmSjFWIjPcIGRlxhZjil9Ab5yyd8fHz8nSSt1jdwwyHVdRYZEbUmTeU00o0PT9tCNitaXljR+YYh57RCtO8H0pEjzEg3zBg3rJlbeRDs9oDrZY7l/xEf7FV896vF7TwIOTnKSMKcRGLxxqckf2ba5ftFj55JPc81llOmcziuORIb9OOPwMOPkSMDiVTGbqysp/K1te5UtNrcs3CRn8SRi9jBi/jhk9igiPIwxXYPWDZ/OjYC2xPWAxgX3U60LZL+Qa+05gK9A/BrAf3GdWJgsuHd/nwcPD5Utjng1X7m8pYD6mzcucvPmBfq91k/kHl8VDiVLxvGMUTTjNJxydzjizmjGo8mSvVnCybIgEZaqSFWbOb6dEtgpHa/iYstlM2jRWwH2kjeCLht+V2UB8pW0vhRLRiXv3s545/2U9+9kItzF7pbBF94QoN5SfvWfRUZ4npYMFgUny5zT8ygYrPrPe7qL5PkZUP88aH8G5svjH28C/t8+TfnwJOadvSXvfOdDxrc/IBse0+00+OVf+Ty//qe/zOtX1lmmEb/53m3+ybcOuXO3Ihv3lRXB5W2HX3t7jX/jrTZXLphM0om69qgCQMNSBWJS/Gervtyn2Kv8kwPGfhJNrkHKK0jki0wpyrF/IvfCcVKdM+ufHubKFmEwKpjNn/12Uo+33qtBewHrdW/BXnafO+H73Fl+hKZXvNa/zC9deJNf2n2TC60NVeT0ZJLVYP1pDdrLfiHbtOmIpaNOW47dVW6L5Ldj0PHqdZaRMYiO2F8ccm+8x4PxAY+nR6oARs7RO401bnR3udbdPc8dp6GKYBZZpFQvJEThYp6GLNN6vewn35dX/VjGlc9v80qkxk3E6EXsLLqeRc9zabsBLSdQf0+yhPxzExc7sjFjh3KhEc0EKM6JJrUSWzTN1LKoCGTx8yzmZ01Y3lu3ala8APIbN3wsqRT9OWpilyHH7PvHCe8dx+xPhTEAu22LNzdd3txyeXXNVqDqchmxWEaq2Gq5Au2lv3huvWLmfwwaPVv8pOK96nlWeVmRhAXJsiCVHObPZbkX+/7f4dm7ff/fVKeEleXBWSWG9sLyqhRgZbMlx4HcG+dFrgrR5dz9g9q53cPKykGk4S3TxDZNLEsA+1V2BMC3cHwDJzCwRQ3IlRmKs0++smh9btu8sHyu3PVsnVKeqEq8KsSt5nhVjG/leEaGp2e4eoKrpThaiq3nOHqFrVdYEqI8ZhiY+kqVVqT1lRdPbbGjWArP+7oIgK9UlOp94/t+gXK1rUTy7bksxdP1D7GqhFChtDNUX6zcDg4Pee0//d2fD3D+D1sbjUb0+33VFwb9P/yH//CFxx88eHAuUf8f/Af/Ab/xG7/xqe8lj//dv/t3z1939erVn9jnfAnOv2wv28v2r3uTQcmd8Mk5q/5JcqSAjlf8y+es+gvOxs/EzZBcgof59Bx0P1xlWR5kNWAnLRCmrb3OjrPGjr3Ode8Cr/lX1E3fy/aDWxqnnOwNa7D+6UAB9tIX3/uzIVC732RzBdZvXVo7B+/95s9XQcfL9qO3qigo331M/jsfUD4+Qes1MH/5dYyv3EQTOdGfYhNJZQHpz6wxHkfHfDt5yl2GIk6Kk1U0o4pGZrDp9p5J5GsbtJ7ukH/UoTix8ZsmW6/pNDsVybBgsi9ysTGDXJhFGqepMIRMXrsUcLmtUT48xPzwhOZgymLN5vSST9ypQRpdblLjOVaasDFIsYyK4oKPdmGb/WaPQcNmzYsI7AOeNJ7yxFmyEN+8icPNRy06XsbRpWM+sFOOlhvkhxu09gM2jw22jysaAwM9NnDsku7NAY0LU8LY4snDXXLzCp1LTRGvIwxz/N4Qvz+hyAyWp+Kf3hJ1NCJ/yaL7kDS4h+PNWGY5x8cJ+uOcMEw5bmgMff38plrYzK9O+1xPdtjK+6wlGf1oTiNJ0fOYA3/I1y7s8c+vP+WgFZMIszwGO9XwExO71NmIXLZij/XIoYyT2kuvEqnsUslhV+IxKO4BTY2sbZA1IQkqUq8gdQrlN1qK55ts41JYFGYtZS7+koWmAP2iyBFF+k6qsRYK479iUyLW6MrrbI3c1wk9k6HtcoLHqeYzqVzGmssEh1lmox87GIcO1pGFd2hijoVRV2IZBY1mRM+O2Sgq1jITImFUaCzcOWN3xFH3mNPWgEFjxMJbkroGqeuSOjqpU1KIxK2o1YmUuLC/BLKvevhFm17epF9cYp2ruHYL03YRZ0Fh8wrwZJHhEOPIjbgWq5twlwSnqsOTfb4SwK++6Wd1O7ysDBalyRybOS4zzWOOz1L3KcWbVUmBr0Ju2s/6Irv+KQxYJbs+KanGJeW4oJyWVFGFmVWYKRiJ2AKAqDpLSGlBM/6QteSrtNIPpYKFZOdLjDe/yEDzmM4njKZThpMZo9FCyaDLhKLnWwq0b3VcxQYXxrW8ryl7uWA24r9cVZhliSmFMpKLXD0ucuuzcsmkWjLWJM85FYlqvSQ0AwqnQ2F3Idiicl1Md4nPY9ziCVo1UfvaZ2lCTouURKV4UYr0ZO0H6SlvTZS/ogDCgi+tN3pst7bZaW+x3dpip7XNmrNONrI5erpQQLzE/tMJqbCUlCepw6trCZedKRv5KcHsAFNknGWyZWuHYjigEgqmgH7dPtaly9iXrmBdvKL6RuOzAac/sMkOJUUSw+eA+OEURFpUJqVFzMLIIZ9T5TOwKrR2FzZ30TYvwsYumhf8+J/j/ONUxEmsrO+WUcgyDAmjUC1PliEH4YxBtqDpunT8gK7XoOc36AYN2o02Lb9J4Ps/ccXC+WKugPdHT8/Y8E84PD5SahvCht/e2uLKhctc2r5E37yMvdxg/tTi9F5GOKol9emElL0ptmVj42JVDpaodBTiqSvAVcmyWrIkRK4e83LGopyzNEShZE5kLImsBbk2w6ymWNUCtwxpJLkqMmqkJbmuMWqYjJoWi5ZP0ejQ8QQk6rEmQJHfZq3ZYq3Vot9o07GaCrk9Xpxwf/JEgfW3x/eZpiKJXtFz1tgNrrLjXaVn71JpMUk5IizGzPMRo2SgmO+jbLKyRBDwXcA0U0VlQE6ufg8BXWSM3rQa7HqbbDhrbDh91p2+yq7uMs3nTLMZk2zGNJuvcr08TMeqCEAKY4pVgYxMCFoC1Vfi8SosrEoB+ao4SED+qgb05V/bbKiCAyk8uKGKEK6x5vbOPUeX+1kN2N+OGd+J1bI0q6HTuSlAvaPA+vYNR03GnjVhIR0/GnL83ilP3j3l0XtDBvsLdWz1+jZXrja4ctnn8kWHbqAphR7llS7VXnKMfVKT/VfQcwHqLat+vhQyPa+aKSh7w6cKPD74rs23/mnJ+k2XP/p/2sK/2KTSdY7DlL1FzJN5xP1pyINZyON5rMYGuUy4UilmZNPRCBQhXOSjC+RfWOSEea6Y/z9IE1kmhV8A9c2KtlXRMAsVniGqFxaeaeMZNr5h4Ru2UgaS9YFpq+uRlODJFUWV4qnrkzINUZjY7DRmfBQyOYyYHIWqPz5aMjlekoYZyTQlXwqgXlCGBWVab1fd0tA9E8M3VOhqEr2qry+a7DslViUWSSKpr2FZGqZnYzVcrJaLIepiul5fMyQr7+W6kED1zx5bMU61rERPMrRUbANy9DTHkH4q/dU6AfKlLxL5k5gYjWHgUV7ZwF/vE+Qe1WkJwQL71jHBFwfY1waYjQrX69FpvULTvolvXlZ/j5OaVX/4aMi/uqPz2w8b3D4wWCzqAjmZwLfNim7LYL2jsd3TuLimcWVTY7uvYxgW88jgYM/g8SM4OITjoUYUCjNSLGcqmnpJz6vY2tS5cMnk4nWbdsNn/jRjendJeFSDa4ar07oW0Lnh14D9jYDGRSk8+NHmFwQcevr0mDv39hRYf/fuU05O6wJzAYlv3LjATYnrF7hydVsxH38arQY853zvZMA7R8d8MBhzfzQjzMUuoyCwCgI7w9JDymQM5Vy4wKpIRceg4zTpO006dpOuKhZq0NCazAddjg5bPNoXn3WNdiPn0nbM5e2YViOhlHOZKiosyQsZC4uXvV4zWwNX5TpqqWrJYhewSKsauF8Uz4H3NYAvWRR5zpqwos8Y9wLQPpmk3BumhKMR0YOPSJ/cxSozvvjWNf7sn/wSX/6FV1mmKf/j1+/yP393wIMHOkXkE7gWr123+eNf3OSX3+rS6xjqfP21w2/xz57+S757+v73qcZ8UpOjXgB7db0Q4F4B+GfA/TMwX63TbQX0y3XFMR16TofdxhbbwQbrXv98nHsOsKdxXWAofSVvkVDJurPHVH7WF5UPsk+wTDBEwsdGs4SpehbCVH1+WR7/2Dpb2KvPPf4J4xRhuAtIfzqqwXph2J8O6+XRRNRGVvuknKXtGQvjiNNyj8qZsLFm8ZVru/yxV1/hra3L5/N6IrMu41Vh078w3xbNeDDZ5954nwfjOh8vhupxUU+62t5+AYSXZU++00+4CfD/DLCPnwP2a/B+lixVAU2dF6o/jReqIOD7fhrdoL0C7iXaoraz6ndE4QsfL/NqG7dIiuV8dkTRofOHb/5wEhW8fxLz3lEN2J8VaVztWXxu0+WNTZeba7YqTP1pNCnyGUUF47Coc1Qwkn6YM5vmNG2dbmDQ9016vkGvYdDzTLVOrB7OAfMfY35aFYUlpZLgD+cJy3lKuEiJlgnRIiUMM9VPoowoTFWOJeJMFYylSU6iFGIy0jRXxWKyTgr4XlB8aVgrdQADp2HiNWvFBqcpY2H9YzZV55UFz1lUPesXpVgc1GozUSRFa8lKfSZVNkq5nKNEcUwKZsT3vpK+eKVlmFWOJwpJDjSdSo3rGo6J75oEro3vWPiuge/p+C403YqGV+LJDb4A72qs82ycI1kTxr4doFkBCFPfFLb+sywePqfjBX/8T/5ZPtpbvgTn/5do/+Af/AP+7X/731b9v/bX/hp/5+/8nRce/8f/+B8r73pp//l//p/zH//H//Gnvpc8/lf/6l89f92f/tN/+if2OV+C8y/by/ayvWwvNgG5vz2/rVj17y3uk1YZa1ZHgdy++GbqDr7h4esunuEQqOyq9QKKq/Wr54hk748yaIqKmP0V6H6oGPA1E17AePk80sRjdNPuPQfCr533RQXgZ6GY4A9TS5OM0/1hDdg/HqgsoL3I5ivpSaDZCRRofwbYi6d90PTwGq4C7kUm/+Xv8oevlU9OyX/nfYrvPVLAkfGlmxi/8jr6RvsP9HPIRPzvhff4f0+/wd3kGK8yuFQ08OKC42jEUTRUwLC0xrTP7pNX2N2/hVt4pJtjihsDOm2D/ngD5ySgnNqKiX2SGEw0g8ZFiy+93cBdGzP79h7+d+cEBzFhQxj1HmnDpnKtevq4rLCWEf48wo9FTtYh3VnncDMgvBCwczkiDJ7wfrXHkRajJTpXHjR5/TsdcKbcfnPAez04StfI8zZB7rM50rg4mdId5Hgn4nVe0LkwpUgN9j/Y5OnDNezLBRf+RIL3akYxlbvfijQ3mEw95mOPdG6TLU00f4G/tU93Z4BmF4ymASfjJmnaxnBLMntOYo0JGbEsE/LSZHO5ybX5BhuRTSeJ6KUhbWG7GzDrZjzaHPPu9kMeBqdEZUZz6dBYWuippoomhO0ngIxUbuviBasmr4U5VldWy5lBJKEd01uFq7wjRUY312JyhFkZkWsRmUxZr7wIBVwpC5NpmjNNU6Yiiyu/QqVj5tDPbPoLk7XTirXDjPW5xWbosNFcx9rtkW8GTF2Hp0XFQZhznGQMy4qJfO6RRzb0MI9s7EMbPdSxqHD7Ec2NkF4n4oIXsxPr6HOXcu6SRhaL3GKhGaSBRt4pWHQyZn7B1MqYmAlTIySxppTOiNA+JNPnaGVJL+tzMd3mSnmBK9VFNs0envi3mQYC8ykpdJmUMIW57uB0Pbyep8BsQzx48xgzT1TWsgQ9jdFEOzda1pOOZ00KAFzxtAuovIYK1be980mBj7fzG+Dn7oTTHEbLiuGiZCQSufOC6URUKUSquMTNoSGAdQn+Ykjnyb+isfdV9GhG6Fxm6P4SQ+PzVLqtgEwBXKfhlHk6JxSw185wWwV2I8d0SjUZLwULeSZs2RoQF6a78mrMV+vU8nN6hisZTskyyScqO6liJwtQaJJqNqlpo7kiUV/RsxK2rJg1ryRo2ARKJj4g6DVodgNa3YBGx1eTLdMwZryYcjKZ8HgY82RqcBIHLLQ15Qdf6VNKCVH7mE0pxhHZKKEYm7Cwa0a3ZdHZtLm2a/NWt+CWnXEhW+AOBzLxoKwN7Os3ca7dwL5+C/vyVTTbVpNKxekx6ZPHZE8fkz55pHIVR+q3Mbo9rIuXFVhvX7qsWPZGs/XJJ08BBMP4WcwWz4D4lWqBWC3gCFYrE9djqnSijl+t2YGNCytmvIDxDao8oxiPyAcDitGAfDhQxQTSTwen5Gmq5OLlnC2emrWEfKmAjEy8vyUKUSzISQvxcxa2X0EqChtyrtchtUoSuyC1izrL/uFUiomaaiWpiGQI+GtI1pTSylmuZPJcwGHTRBOJSstGty1028GyXRzLUeGqcPEkbAmPJE6YTKdMppM6T8aEUaRAA5n47XW69Ds9ep0eHb+HlbWJBhqL45LloFQ2ENL0dkwSTJjahxzpj8gM+d2q2l9ZL1UulGd1bZcQZJqyaWirgFYEzQR6sUE3MdRyIyyxMxGBFW65rsBnNJPCDshMn1QA3MmAIpNzekFGxcR1GHkOp3Ida+scd+G0qbP0TDSpJjIEaJS6Cx+ramBUDSXrnGsZqR4SaSPifFx7y+qFoHUYYrehzlNyvsoVc0cAEgFOWmaTDWedTbe2qbnor3Gxsca2u6aA+MAU9ZpKneNjFkTMiZmTEqmyI/lXPRdnywLIx0XCLFsyz0LmeaT6aiJfGHsSecxcsfbEj1r2wUKNX9W+V5TohaHOLVUOUiLRMdtcb1zmtc5NPt97jc/3X6frdupDZlkwvZcwvvNMDl8Y94pdf8lWQP0ZYO9vvngvtBjHPHr3hEffO+XR9044fjRV56e2+CB/boMrb61z9a0N+lv+M7D+DLA/6z+/TiS9Gz40/TpLyDX2uXbyUcRv/d/2lUzvr/3VHbbfCj5dZjkRy4OIp/NYgfWPZxGP5hHJis3WcSyuND2utT0uN112mzZtxySrCpZ5vgLus3MA/3z5vF+D+mfPWWTZp4P8VYUbavgzcCYV1rjEGOdookgwzMjHmTjCY2hy/Om01n362w3Wtpts7jTxfRvbNRXLUWxMTMdASyuKw4R0LyZ7GpE+idCluMzQaFxt0HilSXBLooFzwUOT68l0DmOJGYxmMJnVSgWfpYk2tXkWogghVXoC4BnPHpPf67nnVaZBOC05+Od7TP7FQ+LjBdO05MR3iS936b6yxXqnRaNwiPZDYuMp1vVD7FtHWJuJ8nv19Cv0uq/S33gN2+jUxVynB0QH+9x/FPFwaPB4aLI/1jmeagxmEC5ysnlKGZcYRR2i4tSooKVVdET2vpnR7xZ4LQ2zoZOYJsPY4Xjmskjq/S5wCj73Crz1lT7Xf+EiyUBncnfJ9H7I9N6S5X4NnOm2TuuqgPXPWPaNS64aH5ZyLX9e1Ub6oihVVVhO/ZtarvmClPQZq/7uvT0V9x8cKMBEZIxrdv0FbtzY5daNi6yttX9i7Hphlo4nc8bjucrD4YyHR0MeHg7ZPx1zMpwymy7VeVLO81KkKXLbpi6Fm2IJIjZCq3GJACnPNUt3sI1LGPpVNE1AVRfLiGg4J3SDES0vVACPfEcZHwnTNYxW1hMfa/J9A99VstQC1vurvoD30pfHBCROdYtYs4gqm0VlMisMJklFefiI2d0PmR4cstYN+LVffZs/9m99kcJw+R+/+pB/9e6Yp0+kiFan3YbPv+rwv/7yBf7I6z0lVy+f6YPRXf7503/J7xz8nrIaeL13iz9+8Zf5hY231LlfQPt0ZbEj4zVRLjpfV0rOVMi6rFw9JuO6c4uelCwNSZOQVBSi0kgp0IzTWc3wrkqMCkRUf1vz2a5ctrWAHT1QeV3zVMGqGgvbrrKYUsC57X4sO2hnfWHNZ1k9zhY5ZwHt8xREKee8n0Au5+1a+rkG9n8AtPQ8yC/vr1REpOp1dd5Q/dU6Ud/AYBxZDBYOpwubwcJksLA4mek8GOUME7k+xmrcZbsZuz2DVzabfG63g9VOWbhjRsYxT8J9BcoLwC1NAOpr3R2uCwjfqcF4YeGLtcPPcpMxjoD1nwTeq368AvKfe47aP55rtmnz1sZ1fmHrFb649QoXWz8bZKWfRjtZ5Lx7FPPBil0v1gYCgt9ac3hz01Fg/bWe/UIRxyc1OcdN41KB7Geg+/MA/BkIL3YYzzdR6VAgvGfQcHRm8h5RwTB8Ue1Dtr8oOshz+wLWr16jllW/Xmf/iEVfP4km4PzsOGV6FDM9TJgcJUyPEiYHMbPjhHxVICgt6Fq0thw6Wy7tbYfOtkNb+lsOQe/3rxSSiwLNmX1MlKxA+0RZyAiYH4VLwsWUeDElWsyIlguicEEchkRhxGSRM1nK/ZkUP8g9hI7t2PS7Tfr9Fv1+l95al7X1Nfrr66z12/R6LbwfQMx5HnN9Cc7/ATe5yRGf+K9//etq+Rvf+AZf+tKXXniOMOX/8l/+y6r/9//+3+ff+Xf+nU99v//hf/gf+PVf//Xz1wmT/rM22RF+UDs8POQrX/mK6v83/81/o3YUwzAUOP/222+TJPWg23Gc8yp7qUpMV5J0nveMJShV2FmWqQPoeW9dWSePyevlfT6+Xv6e/ZxPnLy3/A2ZwLSkGnrV5LPItv34evH1VYNUy6ol4FZNKmekyXvL35Amr3/5nV5+p5/X7yTLop4h7yUn+Eaj8XP/nX7Wf6eMgg+WDxSj/jQeK9nJVC9UDotYyeHLZJi055lISrKoEgadrvxjA91TQL6LhSuesoZH0w4UsO/qjrrxFuD9OB9ynI+Z5PPzz9MxGuw4G1zwNthx1hUI36uarJltXFskXF/+Tv9Lfqc8y9l7cKjA+sG++NqPOX5yysn+kOWi9mSUvyl/Q0KAelv8nRquklwNWr4C7r3AUZMsbuDS6bXO1zsCOtmGmnR4+Tv9bH+nRMCcr99F/9YDqkWM8eoF+KVXyK+uq+f9QX0n+S7vL57wm8v3+G72RBUN/YngDf5Y8BrxMqwn7ElYFCHjcMnsjkn6XhP9uElqxRxfvM+D3fcUKLw93mFrdIGN8QX0OGCamZxqOdPNE5zPjdm6krP7Eex8W6NxWIpiOuMNl0XXpBKZM91Bl4kV5W1a4c1TPGFuWTbLnSbmzQD/zSUPgsfcZqB8aNuRw5u313n9t7sMmkd86+aQd7c1TqsOZWUT6BV9LWfXGbK7SNg5denIhGhoMXh/k8Nv75AsHaq1BfbnRnTezHE2S7KLM6K1sWIvsvDRohb5xGI2meI5KZ2GFFZbTPbXGO5tshisoekGZTMnD2JSZ0Fiz7G0nLXcYSfxaaUVTjGnnUR4WUFoV3y0UfLebsbDfkhiLpUMYsewaOsmjTNpXN3C04Rdr+FJ4YMhXNEKQya38pQySRTj0TM82k5PRcNuYxY2tmZhuxaRPmPBiFl5yjKfkmkxQqGPq5DTdMpJMmGQzBlnIdO8Bu5nSaIYRkpWtyxpljrdVKeXm/QyizWjxabfZ6d3gc7aLmajx3xQKrnXk6ji4Djn+EHJ5JFO9MSAgVm7RHsl9m5I68KS9e05F9dnbGoZazMNbe6QzxzChc1s4TANLcahy1HZZKa3yC2LqDkl2jhg1n7K2H9IZB+jUxLkAdvRFleyTd7QLvCavUHfNPA0YVxVCtBXir+mjibnyqaL229g93yMhkthiVSuzOvJvqhRhUuqcEE2n1Iu52hJhCZg7mpCSk0XOB560MRstND8BpofkBiWmij8LOeINCs4mSSMFjBPTcZLGC4qJstSVfxrZc7u6QdcuP87tA4+xJDzwhtfwXnrV3B7l4nnpYrlKOP0QcbgXqEmep2mxtZrNhuv6KzdhNaGoYBt5dlXlqRJQiHnFAFpRK45zclkkiKMVXGZUuArIYsz5aEXzULmkwXLRcpimfN4XvFwWvB0ISyKHDtMaS5C3DBWTMdzn0M1+VTLEzom+LaGK76bro7vmzQCm6DhMsg0Hpwk7A0SFlFBJi+0TMyuh9FzaLWW7BiH7BT7bE+PaIczqipl6hjstR0Oui6zzS3Mrcvsdne42t/lWn+bG+u7tA2P/b19df68du3a+blPfo/i9ITq6IDy4Cnpo4dkjx9SzOfqQ5tBE7u/idVew2r20Z2GKm7Ri1rZoT5/QmmblG0f05WCkCWE4oM4qif7G230jQuUXpNCt0lnM1L5m+MRTMcKiM/GI3VuTrOULMtZmlLgpHFaFCheo2HU6ivC9JP9uBJWroVr2Wo/tQwDxxR5W4PKErBagOCUTEtJqpi0TAQDVhPsMo5smT4t3cfXHFWQo0nRkLy/XDfSlFKkK4VZqLyrBcitQVmZpK7O1q2yhJzHc1MjE0Bfq2pQXwH9GqWhKXvxytSxpHDGsTFl/xcmMyZZppGmIn0tcu6i/CHPrSjtgsxKiYyIUKw8BJQRVQjHwbQtBRrKZHcn0miGGo2wIliWeIsceynejTUopfy3y5KlXrG0DRWhYzK3DTI/oAhaFH6bMuihd7YwvD621cHSm2hVE40OVphhjE4wRkd4owO82TGNyQmNxUhJQshvIxLbMytg4gTMHJ+p7zHxHYYNnbCRk3lLEickdhboZkmllximhq83aGs9Wnqfht7D0drYRg/HXgO9S5LaRNUSzZpj2AtMAZacBZ63xPGWWM4Cw1lgmeKLWyuN6FqFWcl1VBQ0RK5BdlYpyqqPaSV0r5nK11YqCZRtu9rwIgMtHrcigV+vV9YmGGriUbynl8pveknEkKV2qqxWJtGCUSST9xFpXpKtAEEpeGgaAZv2Ohf9HV5pXeeN3itcDnbpij/5vsXyfsnyUanA+uVBpn6rzIzxr2nc+LUdNj7fUGC97I9n470q03j83kAB9Q/eOebgjhxr0Ox6Cqi/8tYGF17v0t31VaHEQq5x8ZBBPOZkeaKKMdb8PhtBn47TVvtRlorXr6bABUeKTzSdbFby2//3A07eTfjC/3adL/xvNs7HcD9svCfrj6KMR7OI+5OlCgHuR3JulC2qaVwMHC4GNldaLq+stbnS8mjZ5g8d7wlzbTFIONibcnQw52hvzGB/zvQ0Yn4akcW1CoIU7WgNHa1nUfUt8q5B0tFYNivynoHWMdW18KzJMb3uuFxrtrnSaHE5aHHJC1jXxTMcVXwiBRpJljB9MmV0d8ji0YxwP2J58v9n7z+DLdnS8zzwSW+2N8fXKV+36pq+tx2A7ga6G0BDICjRiORIMaMJaSKk4R/yBymJQRP8q5DIIBnUD2kwgQhRmKAUwdDMYAIiQLABwrU3t821ZW75Ov5sb9KbiW/lOVV127EbvN1oQLWqVqyVufc5Z+fOzJVrfe/3vu9CzZVyt0Db0tE3TaxtF33NILMLojQiy1IcXZj+DrZYKcgVIioy4nusWfiahVXqWKWGHou6S4mrmXilqdR+RF1Ii8UXuVAJnbrKMstVzSUpStRYGqLAtE4U20xeH3L027cJj5ZMM3ikGWtuZrwAAQAASURBVBw3PDovrXLmWpfVboOG7rM4PiQobpP3HmGeGUh+DlbaxysuKmZ9Z/sCRk0j2EuI93Pm90Nm9wOm95Ys9iPSXCPMSmZNk4lnMDA0BpKwWJREMtdX45EAN5JfUOJaGi1fo2GVuEVKPgsx5gHBMCUICjXGt+oFrY5Js++rsbJISxLxR5+lRNOERBjb4YmKiKjjuHpVPR3LNzE9uZdPJYBPlA9Orl3D1NX4aVi6svcQz2BZT0pShjwkZsmcUTBjHMw4mo6YBgv1uwSIPru1zsWzm1w8X3nXG1bJ4dGBUuw5d+6sSgCczZcMxmMm00Ul9xxEqj+dLRiNZ0xmC5U4eSrZXwHgDu12Q4EWAl60O3Va7TrzIucoSjiIEvZUAsyShZxzebQ6Nhd7Lc526vRqhpIupgyYZQsm2YJBOOV4PuNg3yY53iQfbUPqYrkJvY0Jm9tLzp2HlXaDttfEKS3swqYMc7RYwyh0kiRX4L3UyXTOchFW4E2UsFiICk2sjvH0OJ4Ghk4T8V984QI//3Mfpt49w299bZevvDHnaFBJR/fXY37ixTp/7ie3ubJeESVknXsYHPN7jz7Pv3n4WfaXR6x6PX7h3Cf41PbPKCb797smVOc+DEinY4rlDCMOMRKxQFpAMCdfzNTcVj6qPAOklVlGZnpYTYepX3CoJ+yzZC9fsJNM2M9nHGdzcmWTJbEKgxW3z0ZtjTOtLTbra2zV1ln1+rSNhkoifk/W7qIYIw85xdZPSMOlsrcyRKlDTVYTykSSvgKV8ChXuyGTJUmSKnKV5CjM2EpTRPbnT+0vKnUG+T2FJJzlTEKdo9DltaXG1xZwc2kwDX2KpE2ZuSpZ1FLy9ilrtYSzrYIrXYvn1lzW+ib9vonu2uSGpeyJbEn2dCQ5wa3G8R92PKIolBrV6bEWWUIwm7M/HCmFpvMnc+E/aoxF9hcGFWifLBkuJtyf7PP68R3eHj1QEugrfoeXVy7xysolPrhxlV69/acybiSf99E05Zs7C94+irk5TIkzmafrPL/q8FxHx7c05qnGNKYC3MOM43nCNJZkoydS7nKJNyyNjqfTr9v0aiYdTxQMNOpmofZvdmqPGfrfekzKijMtOZxFJ7+/ZJ7pCuAfBmLXkTBcin1blbB/WmqWRtvV6NUs+nXrMXDfEMUelZ9rYluSOFn9nHzvsp6XdaVI1itiuDqvFRnAkfm+IXPN6hmUnp4PtzpPsl/ZLGWJUnrz/ScWXk8fk5wPWd9OD2OGj5aM9wLmRynzo4zZQcxynD6Oo5uOTnvdOwHsHeorJrW+qeaC/TM1LNf4oVx78v75PGQ4mnF0NOLoeMxoNGM2k31T1R9PFo+fCUqxxXcVeN9u1Wm366q/vtZTz0BJkvrgB15WUYZn4PyPuPyTf/JP+Ft/62+p/l/6S3+JX/u1X/u29/yjf/SP+Nt/+2+r/m/91m/xS7/0S9/198nrp2z5f/yP/zH/9X/9X3/fn+UHyTSRz/zxj39cAfNSn3/+eX77t39bvfaLv/iLjwdCkez/7Gc/q/p/8S/+xcc/v7u7y6uvvqoGkT/zZ/7M4/23b9/mrbfeotPp8IlPfOLx/jfffJM7d+6wubnJT/zETzzeL8kMe3t7Svb/pZdeerz/M5/5DOPxmBdffJHLly8/3v/pT39a3XiSALG1tfV4/6//+q+rVo6p2+0+vhGfHdOzY/qTekxP/45Wq8XP/uzP/ok/pj8N5+krr34F3TX56M/9DEERKdb7rYe3uXHvHayGw4Vrlyowv4i5t/eAg/ERVt2msdImzGOWRchoMsYNDC61tnll+wW2FAi/wp2v3iAYL56dpz+Bx7SYL/jff+03lH/juTPnaTe7yuc+XER88fNfUuDH+uoGIoQQLCIFkuw82FGsRznO0wWJTGgnkwmmY3Lh0jkF2Pt1V0mhjqYDWv0Gn/zUx+msNGmvtjgaHvD2228/O09/jMf0F/79/4D8m/fIP/c24d09jsuYyfOrfPj//h+hKQDjR3dMFz70PK/Vj/nD5Q3F6qo/iNmO6vyVVz7Flf7Zdx1TGThcbX+SwdsmaVBidCIe6q8yX33EBz/yEwweLpncz9HvttEWNeLU5MiMGKwfsPjgHr1GRPemwcoDizN7BvVQmIQw7JgkvrDALUqnUN7XpQCgpa5AMTtMKQS8Oasz/ck5b9UeMHZyLN3kWrnOTz08z+ZbPl+/+SZ36ja3t2vMWiL/a7HqeCyT+6ysH/OcM2FlasDQ5/DWCnf/4BzZow6ekD9Elmwlx91OyBszyuaEP/uffBKnXQXfrt+6wR9+/ffJtsb0znvYhkkSa+w/0Hj0DYt8d4v19hVsBOhxld9qGce4Zo5jaYrE0bADWuaAVrFQcrALT+ObaxmvriW83YwUSCUyjRKQErBFLWSFRSLOgaYExGTeLvtLsjREFx9lS/ioObqWq7YUWe+yUD68nmnh6qZKeggGI+oZfOzq+2gaPg2tRjQMefDWXZpmnV/85M9hCZOWiG88eJ3Xd94ique4G3WOohGH8wH7iyGRMM4l8KODa2g0LUkoMJTXdN11aTXr1F0PTwCHxZJo4rLcOcP8ziqzWw2iOz5poJNrGvlmQnY2wTy/oHlxQrM1pmcG9M2EnhnhCRe+1MgjjTK0MFKXYmmp3zmcWTyIA3a1GUf2mKEtqg9i5+3SjS/SDs6zHpzhfLZN1zSpaSl1YlpGSsPMcLVcBQcqcUuhgZrYrTqFa5GbJoPpjGkY4zRa1Ds94euiETM+2kXPA7o1k5ZVYBXVAj4MI6JCQIkOsdVmUdZYUOPewQTDzHjxpfNcONtktSNMsIjf+Z1vHyOOByP+zWdeJSpcrr3yUQXYL3YPMb72e/Rufg47DUi3nyd45Wcorr5IEgyJJjt0PY2t+vOMbmuMbsPejUBJ+tV6Bs//9AqbLzpsvejw1u2v/5HGiFfkvXnCXEDl5ULdk/cLm68tS96IDZYCtIQLPmwWXJgN8QYHuLmBHmvEUclskRHGwsiusUgNglRjFgjom7HVtXj+fI+zHZM1JhjjhySjA/LpgDwOFXs89lrEnS2ClfPsNTd44JqMzIShFnIUDxglQyLGxOVYnScJF4mnsq37uHqNbm2FhtmgbtTRlsJw9FjzOvSMOm1cGpjkgx38+RHtdIYTDjFnx2hppIJOpevRPHceZ20NZ0Xk/iVB5wHeckrLdSkE7NQdZouQg909Zd3Rd2yVCJGkIu8Ykdguse+zG4ccpgmDomDz8jW2Lr/ATrBgZ3xEp9em1W1VgeRM4+z6Wa49dw3f83Bcl9/6wqe5M3uAe6ZG3Mh4GO6xFx5yPDxWINtme43t9hk6dpuaVeOdG3dVEH31wiaBmTBKp4ySKcPRSJ1feWYJSGlpppKMXh6OsTO4sHYGL9dUYlA+D5kdDPAxuLB+Rr1u5SXhaMZ8MKKmmUreXakHxCnpfAlJjuc4rHVWycaQjkpmewHJFOV3bstY5qcUriQF7bPQj8mMSIHMjmFQcwTGKyv7A8dWCh8KeM81RaRL6wZ5xyZtOCQNm6huK/A9dJpk9T6R0yO0eoShy3AQECwLLNOv5C3TgCgasQiPyMs5lpMRZ8IWDJX9R56mCnRq1du0vB5tv4OWGpRRyWZ3jZcvXWMtKalLUO7NtymPj3HmE7TRMfpyrhItfM8nd5ocly5To0XibhLXe0yoYwUtGloHI/coIlMB4kG0RNNzHAHKzAKtGaI3IxJrjtaI8fo6ZsNArxkkusYwWCrGptvbYjLTWQYQziMW8yWl4dBtS7KfgM2WAm3DMMW2PDWXOC3BckkcBniuTa/bVkwved5MJGkkXNJqNuh1O2q/jJP7e7ssZUxpdrG8Gok+Q3NHhPkDSu8ArTFiwT7H4THD5ZxpuGAhwWxJ0RG7DU2SSlz01KRWtrjUucKav85K1qN+t0b8zQR316ez7Ktgb9lJCbbH7DXuEJ2fsP2hzRPG/4K90T4HoyOiLFMKEcsoUOuqRJN5gvgao0BIOY/CGJaAugRIZVuUG04lh4s0Ry81pfbgOZ6aT0hdzJYUMwNt6eI1LTpnJMnZYHg8UOoP/W4fx3Yqyeei5PjwGAuT81vn8G1fgdFlUrL3cFftf/GFV1gkOpOoZHcc8OBI7BYc6o0uOiZtx6Mlcu47I9Zzlw+sXsQZwfIw5u7bjzi4P0IrLJrNyoZDGNG5FYo/DttX1nnhA1fobtZpr9V4+843mQfTd43lWZHx//mtX2M/GNK+sEbk5hwsBxyFI958cJ1AZBA8m6BIibJYWackSaTsUZquj2eaeOLJWsp1ViWG9/t95VkvMvjxLCaaCrNeE8FjzNJUQXrD1gnLGJlg1Vca5GZOauTMljM1p5TvsHFyTFLmszlxEqvnYa32RLVgOpmQZzntRotWo10pTOgWxwdHnEmbfKr9Ah9NVliPhKlr8dZ0yHRSsMkGydePWQpQX2q8NprzSNOob69z+QMbXPrQOu01kze/+nUsJmxc1Ej9B5RWRL40WNyuU0x93LyHqTXxmx0iDY6WY7oX2vzcX/mEOkYpb7zxBm+/9g6O1sW3tnh4e8bO3Tl3bh0yHsSkpYnoF6QyS7MsEgF19ZKtrskHL/k4yyWHuzHHw4oRvtKFcxdrnH+xT2uzxTe++XV1LcvzwAxtwsOE+V7A7pt7lDOdRqOJZRnUNl3sFY3DaJfSK3n/T34ATXAnE46OB7xz446Sib9y8apiLsr68+jgmIO9Y0zdZqW3qvbNlyEPDnc4no0IiIn0WCV/yL3pKPskjYRUbmzyKmVRrUUFkBG5dN/ylGS6+KJnoejvmLT8Fg1X7g9Hnb/RsHoOtVpt5UWsZmNFodZKp8+n03VuECcMJlNiSaBzPcIsUyoVkjgm97ej63TqNTzLUNersK4XwYJSksUaq0z0NnOzSyIzb4EqrBzNzcFNwU9JrZBcj5RiuiQPuraB5xrEwRyjzFjvd9ha69PwHFqew4NbN9GzjOcvX6bf6ZClEUkS8sUvfAndXWfpnuPG/YLxIqE0QtzGHpfXU/7L//gXuHpm4/Ga8Hc/83vciO8SnMl5Y3hDKYi9r36VzrHPc/UL/MKn/j2OH844vDfljS/f4t71R+r4Nnor5FFMHsfMhyPCxRJL03F0kzxJVVKWkpFOC+WbrJkOhSYJVwaLUFRhSmzPx/X8E4a5rj6PfP/r2322Lq3QWa/T2ahx4/4b+G2TT/7Zj+JuOBwER9wfP+L3v/aHjPMZ3rqsEQaVHVeaMpvOaOkNfvLahxR4L9UOdI5vHbBWW/nxXrt/+tNqffPv/fzP40qiQ5Hx1qNb/Msv/y6trM4nX/g5liODw0HGw72Ah3sR08jHMP3KYqXIaRoL2uaEVS/kbK9k1Q9Y9SIsfcY8jtSaYu3s+Qq0dzzu7OwxnEzYWF1he3NTFn2q3rl1izhYst7v0223Hu9/dP8eRZqy0u3gOw7lyf7BwYFK/mi3WpgCwJeQFAVHo7E6Prl3+5LMWquTYHD/8IjMsHj/T30U3a+BW+NwOuNrb93A9Gv8maewp+/nPL38gVd44/guXz+4yaff+DwPpwd4vs8Htq8pRv0H159jcP2RSnb/UcaNhIj6pa++KigrH/34JwnSTNWb9+5z795drq72+Iuf+rnHmNgf9dq79sIL6J2zj/3qv3hjjzQvWO812ejUFdgu7PX7N1+nbmR87IPv49yaWCUZmEXM7/zO7/zQY2H9tU0uvPD+Sho/zHn1zXd4NJhhNfuYta7aJ2oAongl97I8h59OdDgdIxrNpnrGn5bBYKDaVrutQHspsiYZn4zlnW5XxTWkiI+9PNPl697eWMUzdZW8lsUB08GRUgd44erlav5v6sxGRxzu7dBt+PzEB17GNTXMouSdr91i9/ouLa3FemOL+UHM7CDh4a0jouDJPMJrWbTWbMbRAaUbcuXlba594IIC8hsrNv/md3/nh3btPXj4kM985gsqGfna8y8xHMj6a8btOw+4d2+HOMlxnCpBQUD/L37xC+w/+oP3FJx/tz7Us/Jt5Q//8A/5u3/376r+6uoqv/zLv/wd3ycXyWl5OmvnO5Wns31Oszx+GEUuwEajoYD5pyfNz8qz8qz8eBTFuvW8H+o48Kz84EVyWF1sVsXD9aSIJyFpQKfs8ImVpyZQwze5s7zDZmuTn7j0LZPC+R6XVi/x0uqTSeEOdwh+hMfyrLx3xbIt6h1fZWxeeGmbc+fOPX5t4Qy+66QwT3N++qMfV6wKAfIPdg/56pe/RhKlvHjtJYJ5RDAPONo/5ujeiIdvHPLw1ePHv1uCX7mW0llt8egrI9W2eg3G8yHT+YJeJ1Gf6U+rLNmPQ9GEHfoTVzA+fJnRl98g+t8/x+bX9oj3/wXGT13F+Onnf2SfpafV+E/bz/GXmx/mD5bX+Rfm7/IHvV2+Mf91NtMuL7pbXGaFUM+QOM75n4Wrv2gyeKfk7hc0nNeu4dx+jpazzvMf0Gl+VGNnZ5cvf+ObsOhw8WCTy8eXKP/VcyysjElvyqMX5xz95QJ9XqDfDensLdjaWdCclZiZQWhnBHbErBtRmhl+4WH4TYpDi9pv9Phw2WLJiONzM+69NOb1zT3KzZj4hTHxOzOuaBdYn69xVDS4LpnyiU95+zx2v8v1rTHbZ+5wduMeWx+7z3Dic+PrF7j++2dxDky6Q5e25+AYfX7js3vYbZ31F3z0bp3VgxfRHum8vHyFiCW70T2scMh2D7JWzmL6Ngf3FkwmBmVs49DEsHv4Vg8zcQiSNvO8y04pksAZdS3mKgkvKEixpBTfdatEVwTTktIsxIVYMWN1Ubm3SgXeqNd0AZEKTEdTvrAC2ss/CVQq0qQQJE+Y3rJ96GX84ZUp//xwiaFP0PQIipDs3AxLT/n08B6OkdHUXTQrJ2gs6FgtLjUvc61Vo7Huc3TvgL2He9S7bc5srXO0/5D94Q7vDO4wzubs2zNSZ15FgRyTRIBvHZr1Ib2P9qj9nE/HsBi/EVE+6GIPzpLda5F+dZ283GTfT7h7JiG7kJFtx5jrAS07wCsDZCXk+Dp6I4fNHLSQUsuVvOaa5lEUq8zEWzmaMonf5G7yBW7lBZ8tDBp0aBcbdLNtmuE5nGQFI/LxIhsvNXCLEm9Z4i7BJcfTc8Xyk+CylwTYs0AlRshxrWQGhUhXpwZz0yTVO6ALs3CBIV73RkxH22WdWEmxvtARLzsD7cF94gcWd7GUVHw7EQnOkpu/91UlRy+aweIPuaElZMacu1/9X5iJfF6wxOrbFC/8Jbh3n/zrX2Dt1peInSajcx8hXH+OfTT+cPpp0nRMnI648OEeW/YVdm6X/Pq/uI4VVc+QzqZJ/9IKt776Tf4f4f+M7pSK5fCh51+hWWvwm7/7rzn+/w7VPsMwuXb2MrZp8f/8X/9ndo721O/wXI+/8PFfxNczPlWDv7JS56h0eDtt8M1lyVvdM5x55WP85FqTn9zq0I6nfOMzv4+bRHz0xauUkyHlZER4uM9ib5dyNsdaJqQ7k8ofVpI2anWMi5usXrmKvbpFqlsMjsfKp3Ajn3FxOiUOhD2lsdHqUbdWWGQlU8PiyCjYMyIexlMm+ZJ5GRAFCxblEYMyYJpOlFe0HogUoabuD5Eg1woXq9HANds4ehubTXqxzto8ZH25ZO14Sf/uN3GyhFITOcOKiyCKCwJIBI7L1HZYeHWmrS4PkwUj32HklGStDWpNjyRbEuU6lngNCts9u09w+CaaMCs7FdtZG5ZKUlE5Kc9M7AOXwoHEyIjSSobXP6jRn8lx1/GcGnWnUAz2yPd4qC14mC4ky4aZN6FeeLSLFc46a7y//hyNwuP6ozcVoPLKtfejWQZpmTKeT3jr8DqZmXNl60WSMiMtM4bTEccixW7q5OfaT+0PGU5F5t6g1bVISo1i4cH1Tcx7bZqH69TeWlGDUG4njDceMbx2h1HrDsfOO8TlUn2Plkhqtzy8dh+308SwXGXBEccylgmQKuC8jVGKP65FGqRYhUun3sO3XWxd5Ok1FnMZx/QqMC1osjYnt8YUboKPie8VtAqDoqiTJS2Wi3NQWNRrKxSFSZoZzBYRs2VYSdQ7lrIK2C0yojgitVLeTkt+9+boschusXoebe28AnqFXeQVOb3FjM50SG8xpb+c0JlPWJ09wDpMFPNIzEmUqsTjXwKaAMWlQR4YaqxgVLVlboEkuRQWZHJ9mAg3fV0+oBy18bZ6LgigJMIdyHVQiwhaEaPGlCN3yYN0wSINKG2LOOqhOY5SIggXoVLMaBZNWq0tdM1W4FyZHpNHIVZjjY53VgFtwixfaHdwSbjSv8KlcxfxLElQq/P5z0ekxx1eeOFTrKxuq0TjaTnkG+98kaK3hG7MXvKQR7MdDmYThumUWTnha+NHGDMHQ3cp2jrFx3V1Hzmpy8ruGuuPNli9tU7n+Aw1znC/PeFgc8bBmV32N3YI7QBTs6gZDdzaKm3NpxC7kL0ce+ZgT2zspYNfNKj5PoYX092yaJ2tk7oRkR5xf36PWTHHbllkes4sWRCJOcBiqWwAzLpDcuQSHyWsXHJxBHi0DJriB+8J417Afg2/tJVySVOeTQSkhaYAzZk9Ud7U+uK6kuFexqFKkBGbAzmDceASxxlHApLG2eMx5X87kGwGHXNLxzwj6jkmfbfLi2cuc2VlgwvdFQZ3j4iPS146v8rF5/och0NuhTt8Mfoa+8tDPnvnG+R7qP2TePYkqH6vQbfeYcXrsuK2ecHuY2s21y49T7fREW0eBkHAqzduMUfDW1tnlOVKsUgsYqM8pKeZKkn8fK3DxUab2jJh740b1Dyfn/3AzxLcWrC8NWfvq7tM3hljlSbt1hP25FILmOhT7E2XjRc2KTsatDXe4Q6HxTFrW2ucu3q+kusuMr7+2teZzKdsbG7SW+0puW6R6v766Bs8yPf45ewz/E+ezWqtyfu0ddaGKR+0+mx1Gpj/+QWCpcX45gTnd9/iw0tRr0jZv3nI739ph1mWE5cLepccLr78KV54pU+WH3P/9pdJnruJ3RuxdkEA1ofqns2PAsy7CYdHPv/b//Qm8z2L2YHO4d2Q5SzFMvdo1B/RWm1w/kyLlZ+0yMyU517e5oM//Qpl3We0hN/77Bt88Wspe/cLPn0vZm11lX//P9+grr+lWPrLYZe7DwxufiZjvXdMt+fTuwAf/gvn6UlixNNJsyn81OUPE+/kShb/6O0R07frQodmeLfyl5e5iwhrrGZdrLbB9vku7rqN27UYhE0eHGt0zrT52X//E4/97U8BnW6/i7/d5Uu3v8k3dt7itd23CIpQJah2Wx2l0CeKLrLu1PKSbsej1fBOrEMM9ncOKbOS2kpJ3ReVgEDFRYI7D6pkl81tfEfSvwyVfD66c0Qnb/Hz73uetttWIM5iseDNt95Un+tjH/uY2hdlOW8/2uXrt++q5Iuy1eXeUhL6CgWG2KKqVPP4iavnOdOqsdWsc/PGIddvTigilzLxGB5mxEMB/w0K28fueri9GoUvYBGEC5soLhgeO7z5dqIS7tQ9nlbxnN98bYFhhMpGUBLd4uhlZS1otnc4eyHlz72ywi++eIXXviAAqcfZXls9w18bvM1v3PodPj3+fbIy4+e1j/NXz/2nnF9c4u43dnnjizf47NFdvvjf/b8qhYg8o2bHdNxQJeQWs4FSthCWtGGXeO0Su+bQXV/H9Fx032VvMGQSBqxubXDu/Dl1XkVB4frN6wThgvMXznP23Bm1TxKXvvLVLzMfRay1tyCyGO7Nuf21A+6/U3mo3/i1P1DWe531Go2+w8b0Gpc6Jp/Y+ihrL3TI2wn3Jvf4vVf/gFEuz2OT1wfX+e0Hf8g8XDCfz7kQncHdafKxjQ8rr/v3okiyxXGcsh9lmOMFi4OBUnOQBIS35xFhnJDsDenEJzZPZclXppF6Do/e2cGrjdT+MI55fRSptdj9N+9jmKayc5kvU27HZ9SyJpLk506K3tWYrkWM+48U2/byhRcJ5zrB3OJoN+PWQYsi3sDYbSpLa2UZlcVY+oJmLWHlXkHNCWjae5jZIXo5xxgv0B8ekWqSvKwzmEnSWYkVBxhDUSjSyNA4nDdUkoqnNxTgnEoCM2LxZqoEZS9sUsRKE6CST09EEahS2KkNXbRjYS7HJJHMrUqc33xVJXSru16UkURVSYN/+vYjdGFBGwZFnGFNYlrpAf/yXz+kHpXUArFPCSnilNdWB/zW5X3CzRrpyipN/afZNsdKPen2IOMz918nyb9KHkf0dI/3pUs+sgjYqHewDUOdJ0k48Icz5k5NXdeSqDkRe66y5M5kzqNE2OEZ4+WSr0xj9R0cvHFbJTzJ/uFszq29OUlR8uu//gcs04wwzRgtlkxnMxUj7w5+7/F1I+PncrnEPI751cFvc7XXVmo29mxGmUly1w9WRBnnct/hSt/hP3yxyb9KvkEYRXzkJwT0XX/8vl8/ED89eHnNotutML4w/NHE22wDNpuWqlK8QcpeMebSpS4vvVR9xiQv+a3ff8jxeMbly1fYPrv2WA3tc5+7raTfX3ixT39ltVIRK+EPP3Nd9d///i3qjaZ6vxz7V75yS/U//OELSkVL+rPZnNffuKvmSa+8cJkwLYmygsNhRDQSBSCDgbD8T/YPJiWjaUvZnH0xqGKjUpZLh7C2ge04NBsGWreG+3Kd8CMa2XhJK/dolR5MUxhn6lldjOHGF8b8a3OhnonqOaKYEzW+8ul9WlsLnJ6N27e5c9jEqMP0nYhmfabGWyFLvDGvK6uV7m5Eq6apxIJ4mTPLDGwhTkgC2YlCjKylm2JZ6rr89Eff9x2TKH7qIx9VLPvr19/ht37jn73n5/wZc/57FDkJEmiX7BoB1CVL6JOf/OR3fO+Pijn/g8ja37p1S0kD/rjJivxplEp5dkzPjunZMT07pmfH9OyY3otjkiLEmMlgxvhoyuBgxOhwwmy4YD5eMj6eqr4C9U5AeSWd32so4F48hBvdOr31Dr21jtrX7jeU79iz8/QenqfJEvNr98i/fJMySuD5M5QfeQ794vp3PNYf5jGJh/qdcsCN7IC3oh1207EKnG8ZHd7nn+Ul9wzXnE2c0mA+SDh8AwZvmcQzCcBprL0C3asZtq9hOAa3pw+4/uqS5Zs1/EEDLbEUc3rq5CSrOeUm7G4uiK1jusdjth6knL9XsnZgYEYmS99m0tPJBLgWRqcmVF2TqFMnd0wyVyOqxYy6Mx5e3SX1AxaHI3aGI9JEJ8nXyG0BIOr4YUJ3PMP0Mj54zuAVN6Mlsq1Gyc5wjftfu8qDrzdgAau1khUnx59rEFTewrglpqdj+Bq2+HmKhLMRElszCi1GM4oTL1CdYJoxms+YRlMFgEnAX5h1fW2VRrmCQZNCWGaS+ECsmGhKWlzaXFf3rbBFpV9IKwFIdZaq9nTBpfqiXy3g/kkrVVktKmnogp4V06lFzJoaN9cs7l8xCFZCxvWpSryQRWouIR6twNFyTD1RVTdjCj0g0xaYukjaSRBHWF/C+TOURKxbOErqOhNvy3DJIpgTRAuCJFSAoti/ZOKRrJ34W0url8JXVzKnxtzHfdTDvb+C92gVd3cFPbcpTY14OyHaiElWE1gr8NYcml6dttbCFKZ6mVFqhfp+hSEYpylxKv57KWExIigOCIsj4vKIrKxsREy9jqv3cc2qipy16Ao+/j4lm0EZd2uKNaslBm5qUE91arlGrdDxCwm1iuVAgdzNtUKr9kktq75dFpgCbGoKkiOhVJYBwgIWBFAYwfJdigKCvM/UUqWAoOsSHMswRQZbmF/C9lT+35by/86Wc7LbN9Fu3xZdcMpSWDI2schSK0lqCToUmJp4W1fS4EVqkoQ2ceiSJTa5ZqHVdLRmidbKVRVJcpHqVgC5rivf8abn0a7V6dRqtHxfgaGpSIimKYbSQ80rWdEgIFkumIivbBgzFSQny3DLnLaW09JLao6lrpvqO658cnXfwzt/AXtzE3t9Ha1ep0xCtCTGFA/SOIQopAiXSrZUju70d4gkfJDlzCUwl0QcBQHDMCQUT3LTIDNSldxSGIm6B0xDvg+NQMuYaSkLLWOp+hkLvVD9pZarn0908WQXKXIopFaRS7qRxtmJhp/A0CsZ+DD2SzLRpTxVpBNWpIr8qB0KiBBPQpGxrEzoT1+vMj6UvOXJz51q58vdIdeMKSBsVqBnIrtbUIQZeZRgiBS0JtLThroPxR6pVxfZ7j7r9VUlM9ux2nS8Nr1WB6ueUfoBgXnENK+S9QRUrqQ1RZpf4rJyB2gnzJfT/XKeRK1DwxRP1+ruV2NUIqztW3WWt5rMrvsEu041h+guCDceMejcYse9ycPstrofhbW82llhpbNFu7GNb59nHjSYLuSa9MRlGM+Cto+SKxapabGKiEudaaIzDDWW4oWtPNQlyF75qWenMvzSKrS7UPcRJ2oiyPim52gn95Qp14KeY4nXuynS0xmWmWMbBY5eUrd1arZJXSSgxaoW+X2lktfVCpQqRRTFBEGonpfyLBX2tmwrEGJ5IuEs36Gmzj5rus9KbIB4g0YJmUh1ZyaN0qGGTa00qWFSLw38UqeGTq3UcOX7lN8l5ycrKZ626E0rMp34Qcg1YmQFtnhHlyLjW6LLM8DMVZJXYRQkZk6iZ0S6RqzrJKau2tjQSAyI9dMWIr0g0koiPScySiIt59ArmLhZlRRmVNfeKRtdmOWS0OPZLnW3rpixrulSc3wFvIkFg26WZHrErJwyLiYM0jEDSaaKAhXYFWawY9pKOcF3HWquQzNt0tvbpH1/k9rddZyjZiXLuhXD80uKawH55SWFq6lnZJZL8oNBnmgsb8PiRkZwMycbZeSLAu1EQtyQ56Iuz7Iqqc2qa1jtgrKTkDUj8mZEWkuUTdninRpBmlJcPSbbmCFPNHUbVze4egArMF/GTDkfsUR8dTVnKAMTloZi4uuJqNiY6IWBY1vU2jZ+y6HR9vCajkrgses+me8ykfElTjgKIo5jeY6NSLUJKTNKXVKy5YkqfyxXEKiMAbam42k2Tcuj6zbo+01Wag36tTo128AXuVplg1WSEqvjloQoKZXkrMCjFkZpoklSCCa24WJptpJxn8UF4zBlHOcKNDkKUyXtnufyLDNZsetseG02vSbbbosNq0FH87ETD2Ohkw5jklFCdBgSH0fkk4x8kqv92TRT969cCDIWGjULu2dj9Wz0loHRMXFWXLwVXyWryWupSJrLXLZMuDm9w+vD67w+eJu7k4dK9n6DBq9ka7wctHmfvkmjscZybhA9TAjeOqaIc6Kuz4Fnc3OacnhYEaM2Lne48P5Vuls1JocBs6OIwc6Ewe5EqZsVMucgp97VaG6UNDYz6msR9Y2I1gY0N7UqYUaz0Uu5k+vYRgvXamNqIvndVBLZRtliGjj89heW/Kt/vc/O7RGWUfDBD3T5v/5HW7z4XJ2bX3jI61884vU3E4JIo1WH973k8MrPrHP5p7YoTrzXv81CK45JZxkEBpHILY8SlscRwSAilnthVhCNUlXlOazGbbmqrIzR2pDB6oDD1gF7/j4DZ6gSQEXK+Hxrm0uds3SbLfVslPmbzLvEu1qsD6SvRmcBKU6sUaKT/bJP/imGtZqrJWrcrpLdZP6YqXVlIHYIMoZpGuu1VS62znGxeZZz/pZq11qr33VNKGDq/cmcG0cjbg0m3J0suDdbKPBOStuxudJp8FNnVvmZc5v0PZfhozkPrh+x986IwztTju7PiINq7VzvuqxdbLH1XJftayt0z/mkfsH+ZMJoETCLEqZRzFRk/IOIWRDxyoU2f/all1lv9N+1JtxbHvK5o6/yb+5/jv3JEY24xcXhBdZurhHfLYiX4ree4ZoZq92c1b4Q+XQW63Vudmu8WujcD0saYgdQ86n7Hk3PpWYa1CVpyHXo+h4Nx6bpiEUi6rW279Kt+Y+Zqz/omnA2WTA5XLIYJEyPQsb7CwXcD/dmjPeX5PL8kYtHAGPfoNU26XQsVjoOnbpGpwaZPWXH2OW38+u8Ue5Rw+UT+gt8XH+JXtFRq4pSk/m8XE8VQCh2KYWseTQByYVxW3AYxBwtYoZRxjBKGQUJkyAhTwtKV6foW5QrFoXYeviSjKfSk6tZy9O+RCKHLXMaXaqu+mp2JtYsoqQmzzRZmyiDl5OfEWlvSaRTQ77SKVPs4FJ+VuyFTpI91bxEQEt5v26SRTppYJEuTNKlJOHZFKFNHkpi54kPhbzXLE4S7Qosu1StaZXYjpDsRepb7nNZCuTYTknNN6h7Oq4jUuqamh+L5L5vWQrclr6cRTVvlvFd4gWmQanrpGWpGMwC3huZQXYYkO4viI8CkkFENs3JFyXZsiANNZJUJ8Yg0UxizSIypZpEhmjAaXhpgp8myrLD1hJwc/J6RtwsCDsls3bO1IgYlktVpxI/QtbyBnXTUbZtdUOS9fTH83uVPKu+G1lvGtV+TVffs4qjCMHFcajZFr4kR5ryDETN3Vqep/ZJdXQNETipWZa6b+R12W+Wco1l3JvKGBFwczDlxnDCOKjug57v8vxKh6v9tgLuLzQ9GvJzP0Zxoz+NsbDvdkzqCWXYhJk8U0rmUUIQZySFplRporQgykoWUUqUyt2pAiDK4UISPOIkU8mSatk6zYmHKekwIR7EZPIcnGQU44xiKT97Yj8rH7llUbYtiqZJ3jSI6zrZioXedR6PKSp54US+Xq5hSdoUBQDHkLFEVMB0ao6pLA9EEUBAfOtkf8OzVTsfD/jLf+HPkey++UzW/kdR7t27x8/8zM8oOQy5aMVHXiTtv1v5UXnOfz/gvXhXS3kvL5Rn5Vl5Vp6VZ+VZeVZ+PIpMKmejBZPjGZPjKWNpBcw/np7sm7GcvVujQeTzJYvediws18JxbRzPfrwtrWzLfmGhiQe29KW1T9rH2/K6Z2PZAhb8H5uxXyYp+dfukH/2bYqjCfpGF+PjL2B84KJi3P9xlHG+5O14l7eiXd6KdxnmCwXdXLBXeNHZUvWytcbivsHeNwoGN6tFysrzOlsf0GmfrwIjs3LGO/lt7jw8JnqrjXNvDXtQp4jF11RjbupM2jl76wuOLhzhdgZcPEp46R2Lc9cNvMNMAZqJ77DsNFgKwSxf4AvFRXzwtjvEdQt9vsOsuUN61aV9dY2G32O5KHgnCHhrlrIXG6RZSj7fYRnd42pD5y+urHPetMitnD0n4u07faavXSG4vk4Zm9SbKX0vZVUYOWXl7xr4MZP2UtVZOyBfielenrLeiOmLXLRiOnrUyi2sRVfdW4PBEQ8OHnFv/wFhELFVnuWq+yKbztkT8K4K9KfFkqRYkJRzUhbExZQkX5JnAVmeoOV6FejPXfTcQS8cysKj0GoUZY0SH0oXChcts3GWNeqxQ7PQabspml+wU7e43rWZrgXE/YByNaLox2huQSEArcgiSsBcguUquAW+rtM0NFqmhmcWWEaKoaX4InFvmPiaSANbSs7XUsF+A2MWox3N0A5naPsT2JugHU5VMoIkRaSrPslak3i1TtT3WNQsBgNTSbTP7xiEDy3isf4YfEtac5KVGawH1DYK+luOYqmd6fbomA3lednGo5HZNCQIHpcM9xa8s/OQNyY3uZHc5qG5y9CbggA0soDWDHwFRguAYVYLaVvHNksVILMsTcnGOoaJi4Vb2Eqi2Zi6aGOXYmaTziwyubZySCQ4LcFdw6Xp1pV3uWa6yg/aynUlG94olBM0FhqRljIxUqYkHBcBE0Lm+pLIDEicJZm1JNIXhNqSXHFFBLAtsOIMMytxM41e7tApfeqZj5v5mKIYEXsYqY9deHRMl56jUROp9lFEfBwSHkcUsYhcJnj1TFXXTTEF0JaQg4C3toUmiQGWVFukf6r+6b6TpAFpq9dsxeTZCxLuLHPuRCVLDFzL4ExNU9L+ViMjWWlgr2/iWK4Cl0ROWeSpwyImkjYXqwDpx2pfmC6JkiVRuiQQefIsJMwC9XopOq4SKJWgX5Yqv18J5qiA6WlATxM/blOdAwGeRPZbqlyjIreu/hW6Ar5F7lpghrhMWBYRUZ4QKVsiYezE6joU6VBRwBE/dAl8amYVpJUqa30J5ArgWJWTpInTcf4kCaRqRXpQ7rDqM0jrll3lgZzFDfKojl02qdPkfL3NpWaLjbok+swxdQE3J4yCMZNgwjAYcRQcchjsMQgGLLMFuUoLqcDEmlWn6TZPgMXTT/LUB1N7KqCm/JbXdVEDOdzC29/C3T+DPe6rl7PGTIHxUqO1R8wK8WXXcY0Gq/XztJ3LOOVzmOXZCtAtCzou9H2NniMjZK4YiXGSMo0TJkmqGK2aSJEL2zeHdgqtuKQeC1BtKPBQKyqgU88NBSjqua4ktYU9Fpg5gZEQmlJjIismNCNCtU/6794OzICFHRBYkQKcTqunu/TMFn27Tc9ts+K36dfa9J02PatFz2gof2yFkgurMkspsoxlOGW+nBCEU8JwoZiKWRxR1w0FwksCj1yFlYWJoQBu3XIwvRqm66M5LprjUVo2sXi/FznzJGUQJRwvAg6COcdRwCgOmIiUsAQ2Cw1TxvqpR2tg05tpNCfgT0usoMBV4XWR+1yiewG5FxE7MaGTEEpCUJ5iZyl2mmBlCbaqaeXzfXJdBJbLXnuV3VaX3VqTXc8jlUSIXJLLQspcFFlEEj3DNGQcyTH0BEPP1HMCowLpck1SwSqVl1IXhRVJKFDpDCdweeUnKt+PqHc4AjiYFn5Up3O4SWN3jfruKvaspnJc8o052cUJ5aUJ5cU5du3EZ9uQpBId1+tS6h2CxGFwZDAbQD7TMEOdRqpTzzS8RMOOJOmkIJrlhJOMSDy/Fxn6sI02rVHWQ4qVMZmXQDdH62bEbsR8JklpAbmek+kZuZVht8FolWj1HK2RU/opeCmZm5BqMXGekBQJcZ6qpK2nS5UCI4kdVaBb2FjikGwZHug+eemRSkJWLkoscnMKSJSBEaDpSwwjxRIFCEPsZwz6bp11AevdNj2nw4rdZdUWj3UX13WUmlZSyueR1IOEtKxqplpRy4gVYJqSkpXpSTJcooDxIJMxUZj1VU1kDJbkq5Pz5xqiIlSnZjRpGh06Zo8VY401a5U1e4V1q0ejdMnGKekgIRkmpKNEgfbpSf9034mCevUdSRLN5RqN97dpvNLCv1xX96woILw5vKFYu1IfTh9BlLCZ13k57vMy67zkX8aaN1ncDwlujdTv1S91mfbr3AlK3nlrwHISUWu5dLfq9M806W3V6W01VJV9jmQSyfopySmChGwRki4npIspyWJaJdEtF2TLgFwY3fOQbBJRzgrKRammZ1rTwWg2sJo99ux1/tWdDq9eD4jDhM2tGn/uP9jk//wfrmGbGvdefcRrn9vn9ddjBtMKlHvhmsXLH1nhhY+fpd783kqr31qCNOTO5AE39u9w6/Aut8f32Qn2KUQKPdVZj9ZYna3RPl6hcbBCY7FCnpsk8rwyNTprNitnHVbOubTP+dQ2HepbHnb7e6/jlAx3uBS/tqoNF5RB1RKIp3jAnpVx2wi5w4y7+Zjb0TGhzKh0Xak+XGqd51LrHFfaF1Tbcdvf/e+VJQeLkNujKe+Mprx2MOLN45G6Ps+1GvzU1qoC69+32lUJWPL+0d6C/dtjBdjv3R6z/86YYFYBTXJNSALH5nMdNi512LzSobNR/7ZjFjWMe3cO+PSNz/LZ/c9xN7xPudBYf7jB2YdbrIwarHZLViWheVVn7WyDtSt9tI0ur2YWX5xlfPlwznQc4S/ghUObs1OLyC6JmxpRUyP0IXQhsEsCs2Ch5aR6BfZ+axFAsunYNGzrqdZ6DObLdtt16HgOHddWrbCa1QQljCGIYBm+qy0XIcvjBeODBeNxymiSqToYJwxmKZO5gGcFaS7PJ7GS0gmbAXuXdtg/94jUzugP+py/f4HNg02MUq00RC9MMaMjqZIkppWEWkkhCdJ6df01LJ2mqdOydDqWThGIjLYoVVXzFwGvV/uWqmt9m/W+xXrPwndOkiG/73KSaPnvAnEJMCkJnKetYSBPvFFic7Q0GS11Zf0klk9hIq1OmFbbQWoQSrJ3WgGNJxf1u369oZV4RqX65Zk5vrRGgW+I5YMk68gp01jK30iq3xWKSl1uqOTHp49TzX1MXVXXLvFdDd/X8Gs6taZBra4rJSLfTPGMFJ1M2bbM5jAd5EzHpeovljrL5EnSs25raJaO6YjXeEbmLZkaMwblmLk+AzNmw9E475pccS22bXneRcgoK3Mlq6hmyJZky5YGaSFJBhapZpPoDpm02CRqn6VeU315r/QLaaufS/KqFcD43JbBhW2di9sGW2sakyTh5nDKjdFMtbfEwimpknVWfZfnei2udltc7TV5rttU99J3LbIeOlnXPyt/Mkoa5crrXrztj3cD7tyb8vDBgqPdJbPDhCSQRAEoPI1iU4czJsZZG2vrJB4qVoIquUdSqw1lfyRzOUkWUMlGonRRVElIsTwKRR2iKFUiwxe++EUOfuX/9gyc/2EXAeSFMX/37l31MPjVX/1V/rP/7D/7nj/zG7/xG/z5P//nVf+f/tN/yt/8m3/zu75XXv+v/qv/SvV/8zd/8zGL/r0oz8D5Z+VZeVaelWflWXlWkjhlOqiAegHthXUvDDIJIslraZSq7eSkfXpbvR5Xi5vvVWSOdArWNzp1umttuuttemttehudanutrUD8P+1FMUtv7ZF/7i3y6ztoNQfjI9cwf/p5tKb/x/q5jvLZY6D+erzLTAXjdZ6z1xVQf6XYwrve4/AbEAxL3LbG5gd0Nl7RcRqSDV+wyy7vlO+wk+/CbgfjrQsY91r4A48ylqCBxhEFh42YwzMTwgsTtlem/OShQf31nN47Gu2hMB10Ytdh0K0Ru4WSIUv6ngIJGrdv4RzskAmL4nKN5gfP0Hv+Km57i1fnC74wmXC4DHGDlNpyilseca0Wct4T39qM4/qS+8acndfOkL72Ass7fcrMoNEpOHe+5FrfoxEaJIc52bRicApLfNEMGfVHxJcf4Z4b0WiVin17HJfcnRoMYpHj9XHignK2JB5PSSYi317DL8W1tYZ70vri4lr6WDzJghfgIiIgZElYzomYExYzgmJGmE+IyhllkVDmqURCq0COyLdP+9SmG6zNL3AmvEIjl4CmztJOOfR0pr7Nsl4w68wJ2hMW7Qnz7pSgHStZZAEbhckqDIZSMRmqhacCUNBPmHs6Hc2io5nUESBKZH91fNVqeIWG5MQ7SUZ6NCY9GpIcjsiOxiRHYyV7qGSfHRO924Bek0anwzlrjWRhszvK2J1kPFwWDGcm4cJRgTzFAnRj8s6EsjVDb04p2zOKzgzbiWjFJs3YVG0rMmlGJl5uMNUS5lnIUkAGIyXQMwIjI3AyolpOXCuI3IpBLf6lCiuxS8XqFbBZqvicisSxY51U3cITT2hpM48s1kkTjTjTSHKNqChYFAXDPGGSxwRFpDL7RWJSfH3tUqNe2LQLn2ZRo174+FkNI29ily2MokXNadNpdLDaoNUmFMYxQT5gGA8ZxyIfPWaczlmW0WPpQQkMmKWDWzbxaFM3OnTdHp2ijz/tYe/VSW7VsecNXMdk7ZrBmfe7nHnFxu/oSmZYZKsVgJ5HBHlYtVnIIg84TsYMkwmjdMI4nTHN5qousoBpnLJISsXAlPtfKTBowpJ4clUrxqRSEjCwxa9Wd3ENF1d38Q2PmulTN2o0zBp1w8czXMUY93TnpC/vEyaZg2841C2XluXQtBxlUSDBEikilTzKZkpiephNldT2KJ2pVrZl/yRbqGvqtNiapcDYrtVUbcOoYatEFElCMdXrIm17uv24Pn7dxHxqu6ryfkkO+N7B4iAp2J3mPJrkj9vBomJ3WGbK5tqQ7sohtfYB+PvoVqh+X50OXrKCHjQg8JQIwSSYMo8q3+gn37wK4CjHDEMAtaJUrR7pxDs1wod1wocNoiNPvdmqJdQ2ZjTWZzTWZrh+fPIzghFKYFy+Cw9Dc7A0UG4cqlYXolzrki6gqgCrJ4cuIUxxfDJzHbusxhRXgGsBCE6CxZohoXsZ0ypWvCi6fNvBPNUXme6yrGpRGIrlW+Qin6w/qblBluonNSNmSawvSc2AVPynnYTCScBK0axMMdxcTT6fMNM0tFJTSQLGSaKAXugqeUAUT9LEJI1MElGuyOUessB20XwbRFq0ZVB2DPGXQW+XCsAVn+5FHrLMA5Z5xLKQvtRItZKo8vS1+d2KXKNyvXbNJu28Tf2oTX23jvHIJtsxWe7pZCImIufcKmmvF7S2DJrnHOrnffxLDbSGpZhL6WJB/Oghyb07lA/voj+8RxHLuAXT7hpH/S32Ous86myw7zaIxY88z59UYdeK97vQ/ZNQJQLoWYKex2gK2JdaAfvSLwXoL6KTNqTIQ3JiCk0StHIF7otqghvV6U3OsDreZnVyFi+uq/cMm3scdO9z0LnPoLmrAId6UaNrdLjSu8SVzVdo9K6SuWvMihaHyypYKtKlZ9om57sG57vSmtSF/D6Nuf37Y77+q0MEHz//S3IeM7VfPLqbKz7djbqSfBb/90bP+74BIDkisXmYFzOW+Yx5PmWRS3+hti3DZMXr0bSaWHJPUVXzpM0yi2GgMVjCUZCxv4h5FEx5uDxmP5QEnSFxMSEpJ5RMyZmQlwvKLEErc4yywDUNHMtWzDdVLbvyjVcsuO99HMJwflxPkviEmRnnGUERq+MQQF+OUxn4iKKFJuO/psA/kUcXSwVbk7G+jq83aOhN2maXvtVnw17njLvBltNmLW6gjSETwP4oZvHmjPlbM4ogx6gZ1N/XovlKSwH2znrFvhNZ/zcGAta/zevHb7M7eiT+XmwnNV5mg5e0s1xYbqPf1wjvzRR45r2yjnW1r8a0YplQBOmTVtWEfFntEwnk71jkZyVnTAjRJyzUUpQm+jr2efE+X5BNZpST8IQBX/2e3NN4u2zz+UWX24GPZjhc6zX4M1dbvO+sj9kxGS8Dbj6YcP1BzO7URPLiLl8yeOWnurz8s2fprT1ZI2RZyWi+5PrRPW4O7/PO5B735g84jA/J8xItN+mWm7TTLZrxFv5yC2u+QhSIaI2oGZwcS1ooO7UiKZSaijCmc1FzSQrMLMfTUEpCNaug04Zuu6DXzVjpxaz1Ajb6UxyRpEqeWLeqIsl9Xg28Ooj3te2i/vhiSrmYyuJTrTv2yyV39CV3zZjbLLhbTFgIYG+adAWw713mUvvCY8C+53a+6z24TFK+tj/gSzuHfGX3mGEY4ZomH9roPwbrV2tPWJ3y96fHgQLsK9C+qvNhlbTu+BYbFxqsbXlMD8Z8ffg2b9o32VvdpdByzk1W+FBwho86m2yd67B2uUfv4hpmr0fZ6PCwNPnS3oAvPDrkjYcDknnKmZnF87smLy99nt/o0PpQF++CXyWrHEuNSY9j1WaiknBSUqMg7ZnEfYO4axC3dKKGRliHSAH5BYtcvKVj5mHMLIwqFqoAkIpWelKLAr8s6ZTQ0TU6ul61wsb3XBqOzGkKtc5I0wWD+YRH4wF3B0OmkUaeu5RZjbrWxy3amLmN7QXY/pxcmzNPF9xx9njYOmRem8ukH2N5hjy8UCUXi7S5rdG1NNZsg3Xf5lzN5UKzxmatRsOvU7dFYcWj5ri06k2l3jI6DDl8NOdoZ1G1DxcM9hePv5/2qs/quSZr51qsnm+xdr5F/2wTyzGfqBdJUuXptfM04/70+3n8PeXfsv1UX5JFs5xinpANA7JR+KSdxKSjSCXr5LOkUi1Sf+Zb/ubpvkqghUwYwpqk2JlEukkkrWZUreq/e1980kpCuUOGfwq2exq12pNab5zUpk7NyiqQX5S85Piyk3raP0nW+94PBcmgECUEnfGgZHxcMB5I8kTBdFoSYBJoNlHdJ675TB2TIw2OhShSREp9QxI56raHY1RzZHkSSZyhUjOo1goyr5S5q3w7koRg6RmWlmNrJy2ZMhKzZFvsyvTiqVaS4HXuz5s8WDTUZ7X1nLONORdbU1UvtKZKxekgh5upzq1U42ai844o85xMwTaMkufskqt2yXNWofq1x/kOOppfh1rjpDbRak3Vqm2/gXbCNP/jKqL+IMoiUsUKYBmnBItAzdMtz8U2JUlCVKSkyprltH+ybUiC6Z98Uk2c5SqBSxIybg4mqn04rdaBcpyXO02VmHHBrhM/yji6uWT0Tsj8nswBlWYX5bpGtgnRRsl8NWfh5kTKCuU7F7FuqIuKkmUp+5J/8c//F/J/9c+fgfM/zDIYDJR0/dtvv622/4f/4X/gr//1v/5v/TkB8i9duqT6woQXRvx3K/L6r/zKrzz+uQsXLvxQwPn3+nc/K8/Ks/LeFgmg3Lx5U/WvXr36LimaZ+VZeVZ+vMr/0e5XYeefAvWP2zB5F4Av29IK4C9M/uHBmPHhhNHRlFwWhSel2RXgvkNvo013tQLueydAfqvX+FPHvi+Op+Sfv04u/l1ZjvHKBcyfeQH93BN5xz+uItP+R9lIgfXCrr8e7xGVKa5mcc3Z4MJ8k871TbTXWkqivbWl0T6v0zmv0TqjkZgRd7jD7fI2g2JBGrWw9/u0765Qv9clP9QJo4JFBkd6wdBNmW1P6V0K6bZGtHYizl6vs3HPxBe/wBKO1xsMnu9C28KOpmjH13H39mnvZ7iZjtmy4ZVVau+/wPDiNl82c95YLBQbfi3T2UoSrqYHNBhQOglDL+egvmCaFoxe32L85ibLu33y2MBsJrgXFrQvw/nGOr1FA2cE1rjEGBZocUliBsTn90mvHmBsLMQ6mCBzOc5d7hcp4yxglgWP2YJP5OqrvmIQFjpe6uKlDn7i4GcOfuo+rm5uP2ZTCBuxYoNGLK2IpRlw6A44cgcVWK/YxQm9Q5+fvHWey3tbMGsyC00WElTXNGJPIxFvYr8g9CMCb4+lvc/M3mdiHxKbGdgWhWWS13yyWo2k5lOKuoOA9iIVKXLYJ2xIJe+cFyeBlCrQpScJepyo1kgStDhGDyP0RYAxDzCmC/TZkiSJVbCqY/lc9Vd5vrHBtfYWm42+YpbuZyZv5TF345S9acHi2KY89rFSS6kXWI6Ov5rDWki2tiBcnTJfHRC2hTl/8nEk4JRJoLEKtsl9JjVPc3JJLhIJ1jwlL1MlvVqxCEVhoCA3cnK9ko5WrS7JGFWw7TTWJzJ3ykfRNBQQ4pkmNcOkJmwm3aKDg1c2KZMeYdZjlLYZJT71xKKTGZzLNc7mBv3YppmaSma/yHWywiAoLYZ6nYlVh3aTRs9ltauz0oFmbUGYHjFaHjFYHjEOB8qH+CgcV6B0sWRUBoolXjHN5fcauHETc1EniHJ1j+a1uGKA1jIKJ6uOX9VKolZ+XoJphibn3sASP2jTVwBh06rTthp0zRYdS8aBNqOlzzxCqQxI7EKSFtK8Au9jySURGwSR3pT2RJhUgNYTrXg1xiuf15Mqf/fpbUnaCeJASeiKLzp6Ijx4Mk34dxG6MHWV3LmwfzSalk3bduiKJLTjs+rUWHcarDtNNr0WbdP/oT9X1L2/nFMuxPOyOupTCVapAkQLiLcsRyzyCZNsrJJzBGDJMp0kaFBEDcq4jl82aDk2LUej6UDD1pSU92mAWbEX5YvPM/W35PqPIo3DXZfDHY+jRx7jI1fJ3VteTmM9wlmTmiBx87QwFBNJy0R2X0eLdIxIxxbGfKJhCRPEKBn7GoOazsCDgSMW6mIDotPSTdZsm3XXZrPhsN2Sa9bFapjo/rcnK4TLjPs35uzek6TAgjQpSOKcLM4oEjmGjEK03gUNk6SkXJj3GbqA+IUEZgssU6TppS2wlerHaVuqfadF/nZWiJpLdX+J/7vcE8LWkuQskU+PtZxITxU7fyFS7WbI1AoZ20uG1oKRv1TC46ekOys3qcc+iZGpsVnk5QthQ6tT8mTMF2UYL5OxwMEvPWqaS8PwaZoeLcen7Uq/ppJQ6rpHTZJWVEKKh+HqzJoBi0bAxJwzyRcnSSgzxirpZPbupJMSnIXH+f0t1vb71PabaAc10mMXRKpc5EWb0N0y6J1z6WzptDZ0RFXadEqy4yPSnYckDx+QPnpANqjsEvRaHXP7PJw5S7p1lmR9W8nfBnlJWJQsk4xJlCpJ6FksFhgZ0yhVTtSxYRNrplK6qK6BCuyVvgSARaFF7lfP1PENHV/kQk2pMqZqWIOc8k5CcScjeyenDAo0M2dx9pDr21/mm+VXmEYz5ZtqxIZSGRHQfsPfYnPj/XjdS+TeBkvaxLhK+aLjalzs6Fxol6zEKff+10OiUcwH/uMOW+8XdRqhXQsr8kR6V2xIJOCuJHpP+yfbP4QxJE4SjofHHB4fcTQ44uD4SPUPjw8ZjMbqu09Mn9Kt47VXMBttCscjslJSI1bPM5GQ1uX+ERbzYo6VhlhJSJ2CrVabtf4aa/1VNlc32FhZZ2N1nYZXV+Puv+2Y5PqWpC4B4yRRa54tGSZjHkWH7CeHHKcDJtmUWTZlmS+JioA4j5SiwOm1quZBhTDPBJyxcHQP36hzzX8ff3ntZ/mJyUWC1xfMvzlVfvcSKbfXHMWob7zcovFKG1OyLIBRND4B66/zxu5r7I13FVh/vmjzYrnJlcU2Z+/3MA/EdsVGr1noNbvq1+2TvqWqcdqv2Wi+RTrOCO5FLG8FLG8tKZISs2lWn+OVNo33tbBXnW/7frJxSLC7Q7DziODBIcneiPRgzvGuxlfHTb4RNAgLg7NewsutlCsix5365LbJTDO4m+ncKzQOhJVnFtQaEePaEaPaEdPGAaEnnueSPGVSn61Rm6/TmK7RW6zTWfbwNXAE4HpXLXD1EkcrcaWaGW49xXZjwjAlLm30pkfqlcoaaRqXjJcWk4XFeGkzjyzSTKconkyERGygWddodQy6aw69Mx4r53xWL3h0+hatlkGrJckGT66pMham9uwJWK/qjHI+4WBxqJj1d4ppVbUFM7ESMgxadlOB9Je7l7i0eo1L/Sus+Svfdr3K2vTu8ZAvPtjjS7v7vDUQD/KUM57O+1oWL9Z1LjgFeRqSpBFpEpJkEWkaMV2EHA0jjoUtPssZxAl764dktYSzVo+f776PP3ftY2xuXYBWF+pNNRdO84LXDod88dEhX3h4wM7BHGNR8NzA4sWBwyt5nbMv9mh+qEPzg23s/ruvmW8teZiR7i9VzY6WCgQuRiHFNKRYxmhRjK5sknJVZfwWCXXN1tAtUUfSyU2NuWcyaThMbYuxYXAkidRRxP3ZkkfzSMnKj6KMuYDOyoWiYjFrJ5YYdm6ptYir2fg4+LiILlLbcRSwehAGzM2Q2I+VbYjpguuJZPsUrFtMMomJxJx3zvJh/3kua6tEYcRisWCxlCoKJQvmi4WyNfrW0ut02VjbUOPTxlo1Tm2urdOotZR9weG9CYf3pxzeE/uCiUq4UEXT6G81KrD+wilo31YKGcaJZdF3KuLFrgD3QUB2vCQbSD3ZVv2lss84LZJgaPb8qq7UMPs+Zr+GUZeT8cQKqVo7nG4/2Vd91KcTB1R21JP9+rtBfdkllhP3jnegZXPtxef/3WNNaq2Uf0vNxHeg6qffqS9t9b4yykiOlsT7C5L9kPgwUDYnMlbKOJ/4Nscdkzv1jBt+wtSMlKqLKEAJS19XGjKSppCjk+NIQpDYAmkWvlg8YeFh4peiUGTiaaay4PMKUT3TcUtRptKxxLZM1GUaJlrd4sCscz9pcHdR4+68xjytnhdrXszFxpJLzYALzZC1mtjaaOyWJTezvKppzu00JzxZ356xTZ5zLVZEKUBUtsoMq0wx8xgri9WUQIY4ZavgONh+DdPzsfwalt/Aqjcwa1LryqtdAHGxXxAgXLVKcQnCTGxARLkgrcD1RAD2J/13vSYAfJKyDCOWYUwQJQqIj8RW8VuSSp5csPIhJTm2slZ73FcWA0/eJms/ZaVwAtpXAL5xYq+goyU2RWBRRCZZaCpLB882aPomnZpJp27RrVusNGyaNVGt03CdyspB2tP6RIns362kecHdsSgjTJSdgbT3JnOlpiLf76VOk6uikHBiaXCuLT7z33kckHn88H7A7tsL9q8v2Ls+Z3pQqazURbHjWo3ecz6Niw7OlkVQVOdEqpwT1SYZu8cD/rt/8k/g9//lM3D+h1Wm0yk///M/z9e//nW1/Q/+wT/g7/ydv/N9/ax8jXJShHV/7do1rl+//l3f+/zzz3Pjxg22trbUyXwvJ/5Pg/PiOX/lypX37Hc/K8/Ks/LeFvF8+e3f/m3V/8Vf/MV3ebk8K8/Ks/LjVZ7dr99/keDJdDhndDBRgP3ocHrSyvaE+fhJVrxhGnRXW0+Y9utt+usdOsK+X2/j1Z54Wf1JK2WYkH/1Ftnnr1MO5+jbfcyPv4j+yvk/9uzr0yIA993kmLfjHcWsv5UcKEZ5HZezkw0uPLrA+vWzlEsJXEPrTAXUt89DvDnkjvkO7+QPmWYWRd6gkzZ43+AC8T2PvVsppcjRpgJua4womNkF+UbA4tw+XTPhAzs262/qtHcDJXG///IqUd/HTWOmrTtMtX1W7sZceCOjs5+p4JTW90k/tM2Nl8/wla7JgV5glyUXdPhIMaEbHyhAT3yphV29rEXMi5zBzU0O3txkcqejFpxmLUU/d0xxYUaxbtM0t2nGfVyRFp6AOylwgoB6Z4h9foS5KkCJTjjsspz0yee9ik1ripQvio0trWNoOMrzU8Bd7fG2+GerKb/Ex0ReOi3JkqKqcUkaF0RxShhmyuPdvgzNF3QKtyDIE5ZZrNowCqnfXbB6I0fbsTgONB7FBcHMR499yG1iF2LHJvZ1gnrOvDMiqB+w8A4I/UNazZL1ep9efQXbqYv5HKGmc1zEHOQRAo0KwCpMWAFAW4rpLEF2kRbXCUthTKQsCgnIPynCkxVv9yIICGcTJsMjJoNDtDihoZs819/ifRsX+NDZq1xZE2sAjWEx5UZ8jzcOHnHr4TGLPQ1t36d+sIK938aJPVzh5VpQW4POeZ2Vyzq9SwbNLRlETvyslad1+VhOX8ahcBGxGC0JxkvyKKLIMyXJHS5jwmlANA2JFgFRtCQolgoMNosczciI3JLQz4kaBYF4MTYgd8TgUqO0UEkbpSke8aU6zxLU0MsGWdEmzdrEaZsoqytmrl1obJcJLyU5zwUWm0GdRuyRlyaL3GYvq3FQeuyJmLVd4rVjvE6C24yxG0vMxpJSi9HTDCtMyOYl6SIji+IqAK3sFAIMSQAY+STHdaKDLmXoYlsGja2Y5vmU3lWNZqelrCNafp+O21FM3brx/TNHv7WID3Iex0pFIYtjsjhkEc8ZhWMmyVxJ/s+KhKmeKBnXuZ4x1zLmxMzKmKjMVJLOfBZjFR7rrS3qRgtHq6twsVn66KWLVooVhKXkwIOsUGzf71ZMYQUKIGjqytvSNcTHsvIslbYKRkn77lq99uQ9ar+8T8CQLMZezrCDKcZiir6Yogm4LEXUKbSSVKsksBMiEi1UjGFJvjE1YZr6qjpaDUvzFHAViBdjAosEZnGp2vxEPt9zDBqurtQegsJgFukcPbAYPrRY7pikA7PK3ZHrsVditFFe3G4J9RzqWUk9L5UdQ6umY7d15h2NaRMmNY2xUzI0Cw7KTCX5iF2EY+qcqdts12y26zZnalWV7/J7xUDGxzF3r8+5d33O3bdn3N85YFYekLkzev4KfW+DttfFdgxsR8cSCwppHWkNtV31T15zxWuz2jbtd+9X77U1ZWGhy5hq/rvZ68jnT5cpg9mU4/mEwXLMIJyqa9fKDbzMxc9cXAHhUwc7tGFsoE1NsinE85x4mZNIDXLSSJKaRCVGAm2ilqCrZ4F6PkjwV8YKadVx6NVzwdawOiZm28Dqmo+r1tYJOzGz+pKZUYH3onIxzkQ5omon0Rx/z2Zlr0Nrv4170EI7bpLNPSW0Lv/qzZx2N6PdS2h1E5q9hHptjj47IDs8JD06UuB9KYFfSaTp9jBXV7HWVrFW19AbT5IoZVwdjUaq3+12FcAtt2KuSwheIxMwC51U00lKTYXoo1KSeDTVhqe10FgKbqDpVS11yoGOcd+g8YaGP9VobWusfSzEurTL0WKPw/EBy+VUKT5UAXwbJzeoaQ6uAMBeE8cWKXmbQpPrQhKQdKxphrYscDsG7U0bSwaI76ecgvgn4H0F6D8B87/1NVUlmJxEzOdzlosZy8WCIFgQBiFxFJAmSeWPrMnYYigmqe+6eLaNa9uVJYBYcAi9+ltKphjuhfJ4rmTpxbe1UCwyJU2vELiiGpdysWxIq36RK5UBx3aUn6zjuDiup9Yxrusraw91fqUV02TbQRPFCPG7Va1sOyA2KZIMk2cqYUIAtziJVcJBkMw4yA/YTQ84yoaMyjEzpgTakkgLCMuQ/eVCJXlZZZuXGx/kz2/8NH+29UGyG5EC6mevTYh3IwUk+JdqFUD+SovatYYCJaVIstobx9d5Y+c1Xt99jcP5IVqWs6411LVeWQw8Kaf+1fJPCXdkJWVSMcor8ruGLvehY2K4cvz6u37mFHQrTJ3MMsgtncwUcFR+VWWZVCUA5qR5TJIsiRcx8xsrhDfOkU9a6N4Cb+sOzvpDDJEbkd8rzwwqWx15pglYuhb32UzWOZv2uZD22LY8arUM14sxxZrBzSgdqQmlnb27WimFajMKO1fWCScjnEqOKjJJuHQppw7l3IHARc88bK+O0+7grPTQW10ircbogcXRvZLBo4zRQcr4OGU6zVkmkrhReXUbtvhii+y1ztkVg+c2DC5vGNTdUw/qd1+78jUqxnEao2Rh4pAyDpmkAx6xy0Ntj0fWgB13xMw4uQZKj57eQPcTkW9SNg2ipBPLnOFk5ik8x3kB81ysuOScVIlBDVOsm3Qlp67k3kXpRxd/bwvHdLBMG9d0ef/ay3zq0qeU9P7Tz5FhEPHl3SO+tHPEl+8dsJzEtOYaL+xbvG/u83KzRf9DPZof7lB/samuzzTImdxYMPzaUNVwP8JribR+id8o8Wu5Op++l2I7okbxLTe4bVE6NhE2QWIQhAbLQCOca8ynBdNRzmKcMx/nSrl+nsGCgomZMSFjVuaKfV1oJabyq3awbQvPs6h1DWo9C7djYdRLdY1kdkpi5MR6SigzyCJlnol1RzWvsTHoCGyvnnk2yb6JF7vUNJuz5xy2L+pM+2/yRvF57of36LptfmH74/zSuZ9lxeoo0DsVEPx4SbQ/JdibqDY5nJMEEWEaE6QRyyQkSCQRs0qWlTHVq/v4jRr1VoNGq6mq59eJg4L5JGI2iZmOQqaDSCWfiLWXZug012q012rUbR2vKLDTHCtOMZaSXCxKOk/mMmbbVWC7At/7pwD8KQjvY3T+6PPiP82xJkkOzXanxLeHxHeGxPfGJPfGZNP4yXtEd0XGxpOaPe6fjplP9onVjpx7qZJALNeAstA5qaJkJ+tmpzSpBydJxXK+HYOsZ1F0bYJWk6HTY1h2GERNxktHMfgbDlxZKbm8knOxn3KunSomfpHlPAoibi5CbkobRMpyKM1yslw+R2V1ptrTpNvT5IvTRFwZCUtZdSpUtTpwSeoTQPxEue5xsp/0T+cJpz5UJ8nlWqG0J6jJmFeU1MqCWl7gFwV1SXLUNGq6hi9J4p5LzXfway71Wk1ZVtYadaWelUxmpNMFyWROKonyYlsjQ64p9oIeSc0ldl0Whsc4c5gEFtMqj4r5TGM51wiXopYmolkV3cD0cnQ3U3OMMBIFFk2pTElCKEUFwFdrpScJCWpbkjJtg7qn0/DluWDguqcg/gmAfwLqy/5ThQjbgVGyZCeYc38x4fZkwr3pnExsszSNi+0mV/tiU9BW7YV2U/3Nf5eyHKfsX5+zd2PB3tsLDt9ZKKUZmaOvPVdj41qdzecbbD5fx29bP1S18mfg/EkJgkANgJ///OfV9t//+3+f/+a/+W9+oN/x1/7aX+OXf/mXVf+LX/wiH/nIR77tPV/60pf46Ec/+vj9/+P/+D/yXpanL5Q7d+5w8eLF9/T3PyvPyrPy3pUkSXjttddU/5VXXlHSdM/Ks/Ks/HiWZ/fre1eEbT8+Aeqljg7HDIVxfwLmCzP/tPh1TzHu18+tsnH+SW20a/xJKbKQLa7vkH3ubYp39tCaHsZHr2F+9Bpa/cdr4R0XGbeTAwXUvxHtcC89VoGYD+VXePHoCvW7PaYPIItKRHVawPrm+YLl+T3urF3nYbEkzl2ams/7jW16wQbX7wbs7Cyx9jQaIxst0YkKjWlhcGzlzM4NcNYHXDxOuHDTpB26TC91yFxhDaUsOgPe/JCI5ie89GrBc1/JaeyFlMLQdgweXevzzZ/a4o01l8jR2XRtPmmHdBa7uMLvMwQAKFgaBXMzZp4XjG6tcfzmBkf3OySRheGnOOdGZBcPcC5n9Jp91r11unafVDKtZxPG8yOcckzPiak74vmrkw4b5PsdykddnFFN7VNxLbF+ly/0BKBR63aJDAuapsKKGUUpoQgJqmeVjHCZnbBuwStd6mWdpJHxYOMBj84/IN9M8JsObfGhtmqK3bw18ti8q1E/LFSAPdMsFrsJ00e5Ck5M07piNqamQeIbhLZRSb83ZszWHnLYechh94DSlsC8zarXYbu2SttpYFkehW4QlnCYhewlSwVkSelZLtt2gy27zool7FABR6os82meMs0TZiftKA3ZV/LcAcsoIJSgrIBWJXRtj/Vai3OtPueafdqm+OmGDDnisNzjUf6QZJJjHTRYOzxLc2+N4L7F9GGpvk7NLqidz6hdTvEuJzgXI/TOie8u8p1K0Ed8NFOiOCEKQ6IkqUBTES9woJAPoj3JqifVsGIHa6FjTjWMSYk1LDBHGdo4gXmMEUZYqfg7C0OkJHUKgl5B2C1YdDQWrYKFn7N0ChZmjURrkZVtsqJDUYppANTKiKtJwvOxzuXQ4UzUxMhtlqXObmmyl9bZj9rMRYxbGIjOErMm/sxL3GZIrZPR6JUq+KplLvmsjTHsos3EMTjjjJfSnUF4X2f/ps70SJigOSubAZsX5qrWeynYBqV4gFoQKs/2QNVFsSTIJcAjMr4xhm7SqHXot9boNlbQDQddd9A0S10nmSRJiESy8qQuSHU5BxLojYiLgETGhnJJUgYKvM6omFQSdBHrAOG9mAJYCePjMRNXylMsJKXscCKaWYrsuUOa2WR5VZPcIhNf50z6JqmqlvKszAsBETUVvJd+Kn3xEswriWzVF9Yg4BY5G3nERiY1ZjOP8E+A+Jlusm+6VTUcjhWYFWPZczw7oe4UrNo11uw2Z5w+Z+w1xewXxvB3CvQWcUE2zclmOfE4ZXeQ8WA/Y+e44GhcEEiS0FGJMQIjl6A71Osl7UbJxon/baNjYrQNli1NAe8Tv2RklYz0nEGecxxlLJ+Sc/YM8QI2WXFNNk8AeAHjV91/O9AtzP/9B8vHYPz1t3bZneyoRKq8OSR2jyidGNc3aNQ84hPGnO94nF/f5sL62apunGV7Zes7gpA/qiL3u4AclUVvqex5q1oKOVf5RNd9jYYPDV+j7oOr8Ente34/s1GiEhYmg6odHcfv2hYQR8j/jqjTuCYrDfEOtqhbwiTTccSOPJZY7pO/o7u6AuzNrqGAfFVPQPy8U7KsL5loFYA/SMY8nB+x82jOaCfGPG5gHzdpDvt4k5ZiSkptdWz6mzbtTZ3meknTOsSLHsDhXZL79xRgr/52vY69fQ773Hm0zTPcX4YqKeLyxQuV77M89AQYVqBwTnnSyvZ3fO20L9L5p1L6JwFhacOs4Oi2zdE3aiwfeOh+QfeDCVs/kdLsiQftgkE4Zj8YsD8/YhIHhFmCUdqUqU6yyIkXJbneI7b70DyLub9O7SsmuS90YBn2clwjxzKySjbXyLBkWxMgu9pvajm6Jt7LBZpeomsF+kkryhbCbtW1EsOQvni2lwp0kAC/PErEe15QBV2kfk0L07JVFXDcdjzFsqtYbU8x+SXQLOw1AcqVZ3OVEFD5Chu4TR2vbeA1NXRJMpDvLM8ZRQmDIFZ1FEpNGQYhiyimEAZknmLlCXYSooUzrDTCzlPsEGrUlM+82H24lvggl3h2gWNUAfpKLaJqg7hgkRQsY1FVKFjEhWrf1Y8LdQ7FnsA0TSzLxHRz7A89wvjInKEb8mAWMQoKjLLBC80X+aW1j/Afn/kZvKnJ/PUp89emzF+fkE0zdEen9kKD5glY7557ooxyGBzz+s5rPDq8q9RKysfKJQIk5CTDmGwYk4xi8iBTzxKjYWC1LQwZN+unYEk191JgizreSiJe9QUYSDOMKFP3beVOa2B4rmJQmjUfw/cxajVVTdvBFEUidB7eTvjMv5lz+w1JU0k5f37EB5/bY9tKcMY6xtDBOXboTyStUUCpAvoFrOewDtpGibYmesySDXOi4o1NWbhKijyTZ2DqkqQOYWgzHp9Wk8nEYDIWyfKAtbWYl1502T6TUDeXWNGMMpqRRHOyfElRPgHW5PvWXQPT8hV4b9dbWE4DyfpMRybLfZPxI4PJQ53Dexbv7NTYOwF1RKH/fAPO16H5gyyT5buWcSFLmTNiz9pjz95lki/REwsTi2bHobXm0t2q0Tlbp95rYNketl1T95Mtz+R5zFtHM14/nHBrKIngoqLR5qNbm3xke42XVrvfkVUp51k87r/46Eix46/vjMjnGefHJi8eOrwS1bhypUv7w13FkHc2XdJFzujNKcMvHzP6xojJ7QCSDMvKKVZN5p7NQhSuAk15iEeJprjEiZi8iCqNo5FZGkL6TfQSMUARcFLmp5LwcWozoixGnmLIanquGL4eJV3Dpl3adBKxptJomgadNZfVy3VWrtVZebFO+/mGSjz5vk6DKGdkuQLj2q79rmedWC7s7iTcuxNx/+aSg7cnRAdL/DiirO3x6Mw3udm9Qa7FvG+ywSeOrvDSdKtSSxIgfLWGJQD4Sg3NVdktlKmoXhXkScZiNmc2mbKYzlV/OV8QzgPSWKx4Kksaz3Co2R6+7eLJusO0MUuTIipJw0zFD0S2OilEjl0jRCMyDeLTahkKjLdWa9R7PrWOS6PrUmtL61HvuNS7rmq9xruP/0dR/iTHmrKJJNxIYpAkH2lPWnmOaU/tk2ecsiL49rmUXH/LNGKeBMzjgIW0T1WRcE8O5pSHAdpRiHEUYw8z3GGOvXhyjyxtg4fNFnt+l2OjzYweuWGBo1Hrh7RXA1bWEzY2MnptW0nyu4Zd+Y9LQp9YNmU5ZlZgJjlakqMnuTo+LZY2RUsypdSG7JM4TzWJqeY0J/eyWovKvEDmwKWs+6Tq1NCp6Tq+ruMJoO/YkpELvgti0dGoQbMBraaqmkw+Renu+zkPeclonDPcDTneWTI4iBgcZwxGOYMZROkTOwYBxPttjX7fpL/q0N/y6G949HsG7ZaOKefuqXMjrP5hGKvkpeNFzOEs4mgWM5inDBcJ42XKdJkTiaRarlNmFZBvKFUES807xeBH7lmjrOylZK49DyvlABl7TuMMolpXs01adZN+w2K1ZdPwdTxPxzsB9FXrndZqf82r9nue9q7P//2WXM0/A8Wq33t7zoM3JyoJSBLD9F6Oth0zaR/zq5/9FUa/86Vn4PwPYxAUv/jTLKW/8Tf+Bv/9f//f/8C/R5jqL774IlmW8eEPf5jPfOYz78p2kkyoT3ziE7z66qtqoirS+e81s/2Z5/yz8qw8K8/Ks/KsPCt/UotamE2Dx2C9sO0H+yP27x9x8HBAKgshkZ9q1dg4v/IuwH7trLCAf7ztBoqDMfnn3ib/2m3FIjE+cBHzZ15EP9Pjx7HspWM+E9zkc8EtJnnAGavLx73neP/iMvkDj/H9ksnDkjwRH1xwz6aMLz3k7oV7zGsZjmbxvLnKS+Vz3FqmfGE4YDEIaAx11ndqNMcOZWoyTC3lYbfsxJRnD+kuh1xeNHGdNnZc0L07Ia4H3H3/kodXY3qBzfN3Tc6/GmEdBuizkKWe8/q1Hl99scNRz1UMJ4nBrZsJW2bIhh7S0ypGzgiTXd1iR3MY7jZxbrYp7viUcwPTLfDPB8QXpgzOzJnZOnXHp2n7NCyXWA8otDFNLWTVjOgZsYozTDODvUznIJXM75wizRSTOIkDokTk3pcUaVzJUovnZ1HHzZs4ZQObFl7ZUNUvm9TEZ32qcWFcpz8VL8iChcgwN2ccdofsdw551NnjuHGkgrUbkc/HB5t8cLSqmO03Vybc7ozR5ynd+01awz7OXPysV9DyBkVpk6cmubC3nAKjOafoHBGs7jJYOeJRM2KvFlFaFppp07EbbLptmk4Ty3QodJNQWGxZyCCtPEnlc6xbNVYsCRk+kX9W/AJhTohntbDZi4xxsGAcLpknIaF8HwJESBDfcSsQwzBP/HOrn5WfzoU1VVb+zXqq4+w6uA88nIcu9kMHc1oFLvJ2TnY2ITsXqzbfTtEEUFP+6FWATyFAmQRSKg9e+VumWXnRb9gG257OirAFiFiWAQtVQwVYJ2Wm1o5hnFTswVg87FKKuXg9J6SLmGKZwTJHC3L0oKAWaXiJiW6WJHWLsNsla62SNFeIvbb6222j4JUy48VC41LksBI7Krgf6kLU1TjKHfbiGoNFhzSpoSm2XUnLCpUKRc/N6TcW1JszhjS4H/Q4jlroRsZG65A18wgeZgzf7jB+p0OZaXidJb3zx3TPHNNRHrNVsOT0hMq1pBiCjsbSSBiXM0I7IvVztJZG0SrJ/aICFE68JE+LfN9mYSirAtXiYJcONi6W1MLHzj2s1MPIRAZWq6TDNYFFKnDkyT/Zyp/0BEDRisf7qn+58osVBrt6TfxVVVvt+/ZSBQx1CfiGOl6g4y+r1oo1SgHvTY2FpzFV1WDiGSrQm0tigMioK6DfoMjaFGmPNGkQJDbTOGcaikpDrgI9+YnfqZPluEGGPc6xJjnGtERflBhRiRZUcvPE1glbSOwWCjInViol6faY/PyMfA1Kq06h++S5T5J7JLlDnEkQ13h8ndeskqZd0rJL2rZG25VkGI2+JD1ZZuU/KRKihq0C3u7j1lEKGadB0yjIeXBrzr0bc95+84A333mHUbrPXD8grQ/ACRUQv9ruc3n1Cmea51mvb9N31jBLj7gMGAZHHC0OOJjtsTN9xPHigMJM0K2C7dVNzq9tK7D+/FoF3DfF3/OPUOT6OQXYw7jqL0/A9vCkle3TvoDy33plyFguMVLxz5UAY/AEs1JFJUd4moqdqtYXAP8JiH/afi92tsj+Dw8jjvcijvcjBtIehBzvRgRChzwhYol86HrXoV+3absWDZGDF4lXsRueFeTzJxK8UoyajtUzlc+1s27hbNloGxrH3TEP8gPuR3vcm+2zu7eAQxfruEFrsEJztII7aiqFEld3aLRs2lsmnX5Ey3yIn9zHmt2j3L9fJcXJ3+p0MVfXq7om7ZrqG91eBTL/AEWFI58C8CtvEVOBWG/fWnLzNydMPy+JXQWTawbLj1psv1DjWtvlcsOiSA+5dfQON49ucePoFgcz8efOcTWXntnFSxyYwfyuj33/sriHUuoix2+rVpj2UlVfJCQeyxHLf+E3ZxgC2gsoL61I35744Eo1dbFgqHB1x3KoeXVqbg3fqWHqVjWuCRCl8hIkeP+kX55si415efI++RpU//R98qz6DsVtGfh9i/qKhd8zqfXNk76l+n7XVJLWu/OI67tzru/MuXO04OFswWEUEMXiD56KbxduGuGmKV5iKyueemrRSKGrQcvSqNmSYAM1BzyrpOaUyhPZswpVxWriCWf9ZOxITcLUIEwMlqHBwyOTewOwX36I9eEbhBeOeBhEvDPOlPy2rtlcqV/hF9Y/yv9l++NseT3C+wHzb04UYL94e04pnult60T+vpKft3sVgFVkBcHNRQXuvz5heWvxRDL//e3qZ15uPZbM/35LNM0UU9xyRZs4huniSZ2dtMvwqRPjQKv+pDbrTHD4//3+mN/41/scHsc0Vw0+9DH4hU/NlL97ObVIdzTSHcj2CvL9nHw/JTxKmcc6i9xgWpqMbJ+R5TK3LBaGxUIzFAApVgdy78g1eFolucdxdNK0JEkLwY3JCw2n5uDUHVodl/U1h+0tjwubBmf8iGY4xpyMScZj4tmMwpLsjRitk2Ks5OjdFLkwdFdTIL5ipGvyPD/D8c4q17/Z5ZtfqJGEGptrFi89Z/PiBZt+DcqoIA9yijAnD79HG1StVCmZrhOnJWEgClE5SZijmZpigbcu+XSea9B9SUDoOnbXwahVShDzOFFe9V8W9vvuEeMoxrfEq36Fn9xa4QPrfSWPLF72X7h3wNHxUgF8zx/avDRxecVqsfXBHq0PddR1JqDv6Osjhl8+YvjahPlD8frJcGslzU2YrrfY9Rq8NdDYH4sEdaKMfkqkjSnyhDJJ0dNCyXRbkgia6diJgZMaog+FJapZwjytFTht8Lo69TWL1qZN76xPf8un3RA1F1OB008DnekoJXoUEj0ICB8Gqi/y43KO3C0P72IN72Jdte62X7HIZah+Cjh9LMueFxXzXWT3j59UxYQ/WpCLzI8CskoiUf8xbMaFzU4Ob6zf5+3tG0y7x/RqPX7+7M/yf3r/L3Bl849m7RaEAfuHB+wdHnBwdKD6+0fSPyRVlkLyXDZZX1ljs7/Gen8Vp+6pJCgRKi8jnTyALIQsEKWckmRREM8zonlGOE0JpglZ8i3PU1Ffaj0N3lfAvetb6vuSqouHt+rzLdsVq1ip+3yHbfUe7d3bp33LMbFEJcgxlVqQaf/b7Uh+FEVZeiRy/2XEgVgaZqqfiPT9Sb/6/PLZJbnHwHJlXVcdw+n+0+33+pjyMGW+M2T+aEiwOybanSq7kfxwST6OOMZjlya7VpNdu8XMcMhE/cwNoH1E6s8ViF4YMvcW27CT437XX5GEuJP26aJMzE+S8ItSrTNlbSGzCREx0UWC/UTJR2zTJBFZcGPVynyiEBG4QtnLydhg5jpWhmrNTMBtHbMw0QtZo+lKkU3LNHSR+89FlchionlMSpdZaT2xXqKkSUxLi2kS0SKiWYY0iyWNfKkUwSpbuKxKaCtKyY9SlmV5pqm+qB+WMs6IqoycN8dA90wMTxQIbUzfwq7Z2A0Ht+HiNl2sukMqql9aybwomBQ5U1n75xnjLGWYZwyzlFmRqUSljVqNc402Z2pNNrwmfccnS/XH8/hqvn4yjz9pq9ekX1lOfadiWTJX12k2DRoNnUa92m7Udeo1YeqLesiCUJuyLEYMkylHyzHHwZhBMOU4mKgxRp9b2Ht17P0mjaMO5r7L3qM9/uX+f/kMnH+vy1/5K3+FX/u1X1N9kbUXYP57DRaSwfTcc899x9f+3t/7e0oOX8oHPvABJYsvXvTCYv+H//Af8o1vfOPx+/7b//a/fc+P5Rk4/6w8K8/Ks/KsPCvPyp/GIsyB4f5YAfVVPWb/wZHaJ9NZmbv1NzpsXFh7F2gv8vg/Dgvbp0sZxORfvllJ3k+W6BfWKl/6l85VwZYfsyJg2JvxDp9Z3uDV8L6Czt7vnuXjtau8Yp8lOtAZCVCvwPpCrJEJWjMOf+o+o7MjNDflrO/xYeMKs6DF5+cj3sqPKecJW7su53fqtEaeAoyPc5Oj1GJqlhirU860Qvq6RWsQs/naMXYYsHs1597LCct1myvjBucWOtYwpHYzxBhGPPQ1FjVh1wrrqWLnaVqpZOf9To7by3F6JbpbLaTzSU46yRgf1rg/PM/DxQbjxEO3C/obc2rtHQrnFuPwWHlyr7b6BEnEKIuYminOqkl71aO34igptDTXOVyYHAQ2e4lPopsKNqv83DXFGq/HOY2koBGXNJOSRqJRjzWaiUZNBetstFjkLS0yp0FZ1kll0S2L80CW3MK4KZh0U447IYPukll9wpVxxCvHGl5acqMx5/d7h1x3D0nyOUUS0ZzX6SxqtII67cUKzdk2jdka9UUbKxUWWUFpRmAGJM0BUWNKUA+YNgNG9ZBBPWDZjEnrGZ7tsO60aTttfKeBZjgKVLFNYY6ZFcNMBSFOghIi/a7kYk/kZuXaKnKG0xGHoyP2x0ccTYaKgW3YDp1On3arS63RxnY9FeKs5PaqUsHB1XYxLskf6BT3DbhvoD0yENyh1Euy9ZT0bEJ8NibZjkl6FeNdWI6n8orq98pnE3PPE8WLMgqVXyqDAeXBAcVwRB4uMByRVNTRXA277uC0POyGi123Mes2hmco5hm2kAYq1lOZFpQCsiRVX7y3FQoTa2RJnbhoEpctYr1FoRnUypIXk5gXEria2pzJXUTZN3ESJq0FQ6fkqPSYRm2iRZ9o2iPPbPVtGHaA2zjG9KfkukOS9MjSOpoR4TRvYfu3MPcN9FsXKG9to81raCK1+sIR7vsOqV89xrFTrETDjHVsSS6IbZqpix9ZaIkEcHJVlQ+37eA3O/T6m3j1FrrjoVsi0apX8v9lQlEkip0nLPxS9RPKQrblNUm6qJQlSqUu8f2FJySKkSc6aSjeiAZJYJIGFmlokIU2SWgSSFC20DAtHUuYp7r4WIKtAmEZFgmGUSjVSc210D0HTcAV28GQAUOIH4XI6SaKOSEqF8KGUaoM0iIst4K0yJnEMcfTjNG0ZCoykQubeOFRLH3MsIYd+OiZdQIA6pS6RlKThI2MuJ4rpYy4kZC05N6bk3bnlF6qQPg89SlEllhRDOXoJZq3QDPmoC8ojTmlNgdtTqHP1fdYsT4rFqkAhCdup49BNGnlnpTRydSEmyi+9AbF3IShQ3pkkE8EkNLRYwETbOzUw8/rNPUOtaKFl9exM3EOrSwvVJV/Ms5ZwqrWHm9L+1gtIYlVTcqYsAhULfSM0ixwhEXerNFs1mk1G7Q7TWr1OrrYmsjzUW4Es2IfppqhlFgEMxOQ4FuLvF3ISEo20xXgvWoVQUkxb979+rcy44WFtAhgEZbMl9LCIiiZB0/auQT8K0z9cZHf8zSIXz9h358C+JJHeIKnqb9RtbAUNuYgYXScMB6lTEYps4nUTIFspUIBBGAz8RsWvgTwLVMx2NX3q+4JVBJIbZHSyjOaRU6/o9HesHDPWFibJtO1Bbv1Y+6n+xVov9gnPNKwjhrUh136400agx7WsI5TVgkbjg8rnWM63i7t+pCaMUCbHVYMe3noqy/cwOyvovXXKVorZPU+id8ndrqEhUcY5Co54XG7fHcrySC1hsnatsfaGZ+1M57qd9sOu5+dc/03JkwPUubrGvferzG8quPaOldaLlfbLldbLk0j4vbxOwqoF8D+9vFdkjzB0i3OtrfZaK6x0dpgs7XOZmuD9eYaLbepPn6UlspiYh4VTKOSeVwwO2nnkbwmrTDEnzyHTkvNFp/uEysMCcCLV63qn7Qn2+ZT28pq46n+k31yg+Ys4hGT4Jjxcsh0OSKf5sSjkmSskU40srFGNjEoplJNCnmeSEJQVij/4tBaElgLIntO6M5J/AV5M6JsB2TtiKwWqwQsYZomIudblKSKpSuWCy664eKaNRpOjZZXp+s16Hl11uot1utNNustVmoN6pZPQ7OoaabyCNYl6S6Jn1RRzTkasZxlPDywePuuw4O4wPvkfZz332ZsjHhjL+TWJGWqic+vJMqd4efXP8J/cu7neF/7rJKiX96YK7B+9tqU8N5SXe/utofVt1len1NEBUb9xDf+BMB31n5we6xgmPLgS3Puf37O0fVQYTHtbYfeJZf+ZZfeZZfueXlGnMzXxad5tnwKuF8+Ae9PZMLl3sh8n68eWfy/v1Hy+oOE1LDpnOmq8TmLM1LxxU4yirRK4lQAjtgSCPCe59hFQYOcWpbRyFMkz6BhlLQaJs0Vj+5mjfZ2g454cF9qUT/XVkDTcBhzeBixuxdw90HIg52Qvf2I4+OIOClIZK4kaSs1B6/u0Ou7bGy4bLUtzjga23lO8zCgeFB5TuOmaK0Y60JB3jsm6x1R9AaUMoanBtOdHrt3V7h5Z43DBz2aucllN+eyl7PZMjA9Hd03MfyKpW/4AvgYiuF92ldzKJkjioXPLCWbZaofHsfMdiIWhwlLAaQDUTuoRChcYVbWDRprNo1NF6dnYzZMjIbJQy/hNW3ON7MZt5KFGkdFTWFlavDiocXLC5+Xtvt0P9RRgHxZ0xl96ZjRqwOGb8xY7sfqXNba0D1vol9sstts8Y2DjLdux8yXIVk5wPAe4TUPOXfBpNOq06g3lAR1XVq/RqNep16r06hVrV9aSA5E+GBBcH9O+GhBvLcgOQpIhxH5JFJrRj1PBbxRILpha5i+iVU3sOumSlb49gmSKPM8lfggiRFRxS5WYh1Pf+9eZenwnYoAcpbIvQvr/Sn2u/RPZeEVuH/Crt/bTbh7J+Irt+/wmcEfcMf4OoWWspW/wE93PsHHL7zC1pZLu23Sbhv4te+sKvRvKzKvGYyGJ8D9vgLs9w/2ORocE8URSZp+R6/771Z0SSSVeXbuoucWuqzBUhMtMSE2KCKdItYlWwTLOEkilnWOtNoPF0AXoF4AbWXt8xR4r1r7BMQX26ATMFy9Ju3JtuyX1yUJ4BRMjwNp03eB62r/Y8A9fbI/qvZXSbjvTVGAvf0UcC+f8bQv+58+DsfAqVn0Nhv0thr0txtKSe77LUWYKqA+3ZtX7f6C4aMld/cKHs5tdqgRKv2uk4XFydNd5uhyryjGv+Dy6rms5Esqi7pTqzoB88XLqFJ7V75Gp5L8khwsSccy4StlDicTv7RAk/XgSaK49NW2Emw5+dtKAeZkjSv5MqJOJr9fqZPJ2lK2JZGgRNMTbGOBYyywrQDbCnGcEMtKVexDyuOrUzYjDW0uVYe5jr4w0BY6WiwJ7NUaQ/cKdC9H8yrpfS0BLdXQUw0z1TEyDTPTlKqFek6VVXpw1VaCCTIsVYkrVfKKLH2q9qnElJO+LtsyjzWrJBdlLfPYXubdFjVPb0sv00xiDBJZ0am+qVQDIyylRjcvDRYYLDSThW6yxCKWhHBlnfDERsE2czwrw3dKNW9v1TQ6DYte02at67Pa9Wk1DeaLIf/Rn/tPuJG//gycf6/LDzqQnjt3jvv373/H1yT48lf/6l/ln/2zf/Zdf/6/+C/+C37lV34F/QfMKv5BwflvfvObbG5uqr4w9Tudznv+956VZ+VZeVaelWflWXlW/jhLEiWKVb9377Bi2D84Vv1gXjFZbNd6Iouv2opxX2uKy9cfbynzguKth2SffYvi3iFau4b5secxfuo5tNoPHlD8UZRFEfGl4LZi1ItffV13+Jh/hU/61zhn9xXba7ZXVqz6+yWHxwG7l3cZXx4qr8x2qvNip0+jtslX50teTwcMjTn+DC7suVzZbeOPRaZT51iDvYVLaGmsb6U0RH5+PmP75j6ruxGpk7J/IWPnOSgbTS4mdTr1THlZesfQOLRwo0r2sLRNgqbOpFYw9UoSt8T3Q3xtganPMQWQFshWAMdFxuLA5sGds9w+OMMg8AXNY209YLN2xHr0AG9/jD2IFftUAjUiz6xkardt4isa4fmStC/LLA1rbFIMLcKpwaTUmTolUwemFixsjbmts7CElVuxZoWIbCRgxSWNIKMepDSnBY2Fhp9q+EVKIzNp6o3/P3t/9iRbdp15Yr8zTz6Hx3jnm3lzQAJIACTAIotdpSqpWao2yaRHtcmkhzaT1YvM9HfoTXrXk1jFh9JgprY2SqK1WauLE0iQICYmcrzzvTH57H7mfc6RrX084sZNJIDkVIWqjh25cu1z3COu+5n3/tb3fXTrIUY1QJldDYwbOybmoQAWG8LVAlu8HXsep/eGPN31ta+ysIVEMtAoE4bJkmG2pCfM/qRPnN1CrfYxNj1MGYw3MgG+wSgKPaEgo3b5v0wKbMI1q2jFQiJcsu6sKfwCt/ZwDWFKB3g6+3hGgNu4OBK1pfeJZJG2E3aAlrirJAxUnFOsU4pNpkNY4gIdChOx9Atif83KW7JyFyydOUt3wcpeacDyUta2Am81IJjvEix2CRe7uHG/VbB1Csr+FDWcoQZTqv6UxhLf9BIhL5cHe9T7u9TjMWavT3MhJ6hKrFLRKRRDZTISlmljE27VFIXHrX0zBfjXRgyKTPj3RkZqppSWorArlKW1cfW4UXCQC99aUQnQBQWNT00oU/BURpfacAhqeKtUvJPXPMgsbhaullveuCkvuhPOOnPmAiDOIuLFEHN1gJPfwmKAadnaE9WOxN/ao9FyyWtK62OWzV+TzhKCp0d0n98gmO7oSY+qv8IYLwlGCQNhpzoVJ+6UU3fGxlkxMGy6BnRqg0Fp0KsMdg2fm2afXatLn56WSZYDui5FqcFF5R5V4aIkcpcq91ClS12ZrbS8AJRaar7dJqVsl0rAIimkaEFMeU2AUC1HfwmItt4R7QSWQlmKSujFYY7llYhrg13YWLn4tJvUpdUKJ2wnzRrxoLxg119g31cKPxqrasNW1JZojotks7C1xMfWxMpDmjigybwW8JYyHAOcoMbrKdx+iT0oMIY59Sgm21mzHs9JRhs2bsGmtrGqHrYaYBRdyiSkTAKyxEWVNl2rpufUDOyanqvouxUdYarawlSSmTApTqt0FkDP2H4nQy4k8h1rYYkZ5GvIVm3OlybZymQ1r1nOK+JVQ5GYVLFDrbTA8lYBQ7syYzgNZqS0X60Z1W3RQFBS+wWln5L7CU0gXsjCFBpjlQdY+R6GEuTPxsgtjNLCLKQAwMBUaAUM+diybMhxL4CnFK+IR7IuYhGbCdnxMnHZTva1ShfCPpIJclG7sPSyADJB1yTsWkR9k07fojcw6fYt/K542Lbv8buSTXwBNfyr9gmvmj4fqUR880vPE+XFKxBfMDrJmy1w3+YWzP95DJ/PN/lXtXWp9SrLRK6Ad8IclYl1iXRTkq5LatlO2jqlIYps8B0qow25fgp7y1E13VTRSUt9DQuF9WkrHK+m6cF6nHK6N+N8MGEaTJl45yytFf6qQzgdsjs5YjDZIzgd0ojqjdS2hQVVf4MVnOMax/jZlHC9oput6BcrIhW330c7hnhsnCFZsEMZjqm6uzT9fczhHmG3Qxg5+IHFelFw+jzVsZ5vbY4M2Nn32L8RMMLFfgrVcY0xMlG/5fP0awYfV1JAI8xTgzf7vmbWC1h/M7R4tnjCh6cf8+nkoWbWH69OWWbLy+3t254G6fe7+4y7O+x2xwy6QwadAb2op9l0eVNSSFCQViWrXLHWQL6A9w1xblCWwmqTi7uNUdu6mK4R9FsUSWqTupaCFUtnVYoU/Iwkn5EWc7JySq5mpOWUrJyQqcVrhUqu1cWzfbqeqyMwbD1JTgLpsiFdNJQLCy+L8MqQvlyH7YiOGRHWAW4pXuM2RvVq4luKCf2RSTi2cXtQuSWlnbMxExbELNiwbNbMmjWLZon+qVfkbKjq9hlbZjRd7TUrxQWm3v4dN2TgdxgGHXbCLl2/yzvDu3w7usVe3pCfnhGvCk4mNj/+zOJkZ4X9209xbk5ZbQr+9NMFP92kxOFGg659c8yv977G//at/yn//OA9PY8qgO36x60Efjkt6HylR/cbfYJ70SVY+DdpyUzx5E9XLSD/YarBgsP3Q+7+Vk8/V0w/zZh8mjF/LFYB4o1tMLzjaaB+vA0B8LXdwEWTC6iw6i+Z9q8A/GfHKb//ocGfvTB1YcdQgICOyU7PYjBw6XUdegOX7tCjN/DpCWu352NI5Y/nUjcm5dlGA07FyxXl8Zry+Ur366Q9b/Q+3otwb/Vfxe0Bzo0epmfrooDZLOfkJOXR05TPnqQ8fZ5yfJIyOc9Is1rfc+Uy6AYuvYHHeMdjv+tw4BjcMhp+7dDRxUJGAPVwTtk7oeyeUPgvqcyMNDeYnw959OEup8/2afIbvPfuDt/4VsQbD/zX7Dv+pk3UEmTfz36y1gD6/KcbFp/GFCuliyG9jkXYtwkiE88RNZ+aOq210tanfsaR7fPga3t0v9XXNgern0yZCjv+gw3ZRG5KNd2xwc4Dj8HX+pzv9vmzZxnf/9Gak5OSNIuxg1OiwTnvvufxja/f5p033+KNW/cwJ7lm7FbLFmCXLNLfF32dV7keB34eDLf7PpbEMMDqeRihi8LW15dMWKNrWHySED9vz8HO7YCdr3TYea9D740QyzL09bmtnmwL9LTkdlaRPU9Jn8RkzxLNsi9nxRaMMwluBVqy3zsKcI+6uDe7OAchdtfRSgl/GwD6dLbh//GDf8f/5+l/x9PNM9j02V++zyh+wCC9o8dPAtL3BnLc2/T7FoOhTX9g0b9YHth4P+d+/YuafO8LkF4Ury5zUZBLcaC8dtHXr7fvzUX1TN5blpf9fPt7G1H+WixIpXj3Sgv8kNFgyLA3oN8d6DyQ6Pbpy7pOjyiI9CVBq6JI4aTsk61KSl3VelkVNWUhgHiFyisNjJd5RSm52Obt+svXr6y/fF0KfaQ444ql0dXWgv02njCfA/tVyLrgyjr/1WuX67frXvtd39bbu/2c9bbYqHoVRfUz64SJL880r/oX0X728sq6dF2wniavtnfHZXy714L1N7vs3JQsyx0N6n/ZJtdKzbBfSyFZ1YbYLYgC3sVycWW5/Pw6tf2dertOvf672+0v1jRWx8WMXEwp4u54OsuydbGue+X1bTZCRzP8i0qRV6UuNHzVl+M3o4qX2KsFloz5lzPM9VKPgeOVwzrvs8o6zJcei4XJ/CRH5TI+kKJli91bPR2yLXe3IdtTb0M5WEV3Xqq3yq0dUSn7Kycv5NqeksQZq2XCapkSrzM264wkLthscv18mm1KikShkgoV11TiXS9+eXKLKtui4cuCBF6FyAk0jjy4Njo3TkO9zbg1jSv+eFK5oqutdTSy7G2XnRa4t+tWeaBnBIysDn0zYGCEBLWPpSIohBjikecOSWGwyQ02hUGsLDalSVJbxDKHdEUtQcZU8XrF//MP//E1OP+rDM5ftN///d/XAPz3vvc9JpMJ4/GYb3/72/yrf/Wv+Jf/8l/yD9WugvP/5t/8m0twvtfr8a1vfesf7N+9btftuv0Py1foul23/6G16/P1P64mj7er+eYKy76N06cTLTUsrTfqcHRvn+HeoB1wejLIdHX2AhfPd/XyRX613sHxXsn+/n21+vkU9ccfUH3/Mz2xaH3rTazffhfzcMSvantWzvjDuJW9X9Upt50d/rPwbf5x+ICeFVzKHq6eNxw/zfkRz3gxmuqBTfQ0YJh4OPsex2OTJ+GaqbemMHMGa4OvvBjw5rMR7tIhqWrOrIopDkHX0j7y8brhaHXO3fWU7tmS2iyZ78LJTZesF2B7NWG3ortbE6TQPXcYnod0Jy5ObmkwMPdgMbJZ7Vhkuw3ufortLvHKJY7oIBoVpVcRNz7nj+7y2Z/f4eSxpydROoOK4V7D/g2bG7c8bt0LOTz0NEP3ohV1yro8Y6XO2KiJHoB6ZkTP3qPr7BFZQwxdli/AbsWyWXFWLTlXCROVMFMFyzhjvSqJhVmYGGSJTy0T8loHt2UyhHlJJy6J8oaoMOlkLp3YI1QeA8viUDx7pTK9b9N8s4d9o8fcjXhWODxcKZ7NW0nHbllyL0u5P1txdLrRA/oXRZ+X7JBbLo5rsDNMCDtL7OacYrUmmVTkaw+1DihyYbez9dprwVVhGGsQ1Kp0hX8j/ry2gSWgmmNp6cjLkGVBoZxW1luZrf9mnK1ZbxZsNgvczKeT94nyLn4ZtNKQ4tErLIIgp+5k0C2gU2L1FFavwuoqjEAmFWzSU4/sOCA59oiPXaqsZWcFOzXdg1r7ZHfCkG4UEgqt1oJ5XfBUrXmi1pzXKblRoYS9IGL9gi4iALCAeQpTpPebjKraUCE2CiKvLghnjerEqN76FdtC5j5kElV2p8j162NBJlVNiqLRTNlc5Ggrl9LoUDliltzDsCOixuBB0fB2VvFOYXJLOZhmpbeDbO+5kTA1NizqkiR3SYuQLB+Q5zuU3MDxu1heoP2SAyvnMEp47wje7A1IH/o8/2HJyYfi39ngiwViv53slZkDYT4nda4LdSRLxHXGWiUUWgdR5kZswsqj0/iEUpxRS5GMdovXPs0XMxBa9UBTTdqpD62soP2cRZKwwvEqXLfGcWvcbd/12rC9CvyUKsio/JjaTzG9Ukss++L5WwnobZE3Bi+tgsdmzCfmig/NGXNSXRgh21qkGtzKomN4hLhEhken9ggaj6DyiGqJgKDy8SsPRwojSgujkEoOEyvMsQcJ9mCN1YuxBmuM3gbLFoaJq2X7bR3+NnsYAtZpn12ZM69Qda5tGy6DDNVkKH1GXeW6txNOUmRQpg5l7FFcROLqXErWfZdcAP70YqJSQPd2ozu+wglL7DDT4UYZbicj7Fd0dtDswGBY48s5FObUbtGqBWiDilfTR2Vls1ocMpveZDq5wWotZACTXmfD7miOY5dCt8E0S0zJ1jabImPdrrfMEkO/Loi9wtDvE39okQSWbSPeu3UrtykqCZlFldtUmYNKPerUJ088yrxDU3Qwyi5V7pOlDnls6tD7evujy2cEsJACh1DRdEqISpqooIoK3aejMPsF4cgkGhl0hjZR6NIxA0IzIDICQsPf5nY52i4Hhr89l19v2rMzE5BerIkbXdyhgXfzdSBeQluRf8lnjPZ5p2QiTNiXqc6FFDhoRr74hJokytKRVhZZaZErm1pLosomb4gEtM9KwkwR5AV2o0Qsm3WQ8XI85WQ0YTqYsuxMWblzHOUymh/QO9und7xHMOtrAK/sJSS3JqR3JmR3JtBfM9wUDJeZjsEioz9P6c8y/OyV3EDccVmOAtajkHTURQ26qNGAotejLAPUGoqFST4zSCaQT6GzjDh8OmJv0sezbey3Dax/EpC/FbBwbJ7lilQmkw3FTqeg113jRQtsL8V0xKc+YRHPWawXLNZL1pslm/WaNE7IYrk+bCfVDfDCgCAK8TsRQSck7ET0O316nT6hHW0Ly0TZptkC+CVZlbFO1mySFXGyIU9SHZnkNKXIrngmyHyy7+P6IZ7XJfC6+E6f0O3jO0NCa4ChIpJ5SLyISJNIK2nIzUSw4K6rGHcbbo5MHtxyefdOyCCQorjWSESy+KRLyxYV8aQknqo2nyviaUk6V5RJTRHXlElFkbS+6z9zvGlGYUPtQ25XpHZJYhZszIy1hJGSWimFnVLaKcrOMLwNSfQpXiflqDvk20df57cGb/KW1ceeLYiXGdOFyQfnJSdHZxTfeKntMsrTHt99fs73k+csw4UukvKbLg+c+/wvjv4x/9VX/wWB9+UZlF8WkL/32z1ufbuDKwpMn2tVWTN/kjP5JGP6WQvYL562HhnCaB7d918x7N/w6d/8Od7VAngIWC8hAIj2Ly5e7xdX8hc12xYvBZF2bbPn6kJUKbASgDqdpBx/8JRaihcyh2rZMolljCHsZ/dmrwXsb25B+5s9TN/RFyB5TlksFc9E0eBhy7h/9iLVDPzpJCNJRZ0FOgOf7/zmAf/L/2Kfb7zl4W6LEzQwWk9I1DMS9VTnVTxjs644P+5w9nSfdHnEjb17fPW9Q955J8T+BXYgX7bp6+xproH62QdrnVePkva+17EZPAjp33LojkzyyYb5j5ZMP0z09tIKCYcWo3dDdr45pHrQ47//aM6f/8Wch59WbDYlpp3SGU54+x2H7/zGPl//ylvcvX1HM6izDyds/vARmz95qoH3i2YGDlbf04C7PQi0B7sG3yXL8pXXjOD1ojD5PpnKiYuYOI+JxXu7SDBNCyu2yT5WbD4o2PywgIWJ7dnsfLXL7rf67H6zT/dO+5z885oUuSSfbkg+jYk/Xuu+Wn5OCkaOGSlG7FhYkb2Nbb9jY4eWzpfrr/a3WX7/48VDfv/Rf8efvvgrZskKo3K4Yd3nqHqbneQB9mqP1aJiuZTxzuugsiv2PEOb3hasvwDvBdgXAF8D+QML9+coAPx9N2Hnz5cLZvM5s8Wc+XKuQXvJsizrl6vla89LMr4Z9oeMBoNtHjIaDnV/OBjQCTs8fvRIP+e98+67eJ6niw9lnCgFiVKUdFFY9WWbfnbaAtwydhUgXVjq8nf/Y2sC2k9fbJg8WzF5vmb6fM3kxZrpsxXp1mpBWn83ZHyr9wqw17nLYD/6OxUD/W2aPBPo6mL7b1fc8sv2bbLMWZwmnD9d6u1y9mTF5OmC2dM5TVHQlAWBXTLuK3Z3DMb7Lntv7jJ+64DhW7cxdw8w/PCy2KmKK61QUsUSorih9LlriFWgZ2K6bYjShhR966Id6f9Nine07FmNSnOyZUa2kpyTrTKyTUG2zsklX0ZJGhdtQWpckElOSrJ0q0y3LUBqo13WBdKeYPQmjkgeaGECk9oQywITMeLZ+r/8bP7819AqZPI7FmJsJApLnz5+zu8//z9cg/PX7cuB87/7u797eaBcg/PX7br96rU0TfmDP/gD3f+d3/kdgqAFMq7bdbtuv3rt+nz9T6MJMD952XrYv9wC9svpmiItyDPxjxYZt/JyUvYXNWHkC3DvbLMA965/AeYL2C/LDo5ja9BRpOcEkNTZ2fqxbV+zHVv7TtvyWlFi/PgJ/NVnWEmB++AQ/7e/gvP1u/p9v4pNmIY/yp5qNv330yd6+vYbwR3Npv+6fwt76+MqLS4Kvnf+kg+al2RlhffEJ/rxgLJ2OLtfcXJnQxzFmqFqNSUjZfKdkyOOnvYxlgYbSs76itK12aQWz1/amCX8ZhgzKJ4SnZ5j5zWFbbDsu2w6IUUUUkUe9a7C6eeEZsnewmF/5tFfepirlqEgYHLmQjy2KA4UHCQ0/SWeudGfpTErUsNhOTlk8fKAk8c7nD232azb4ZSAKzt7Fgc3HA3YH9x02DuyGI5lorNiU5yzyk41YF/WuZ7Q7+RDuvGAzqqLKXL1mxKj42C+0cO8Gelq+6tNhm5nxxk/lUnHPEcNNsTljOUiZpUqNkZDbJtkjqW96DSpuDZwi4ZeWjPIanbyhh0FA8sg6IE1qFgObE46AS/pcdxEWnp7ZJfcMlLuJjHDZzXxs4jJeodZ3qURn/RuxdGR4uBezO7NOVU5p1xtMJpE6AgYAlQbFasm46xKOVcZk7pg2igmjWLWKOZNxQKZFLUwTFuHsBh3/RFjf4ddf8jYHzD2Bux6Ay2X3/rZN1Qiry6yvjNT53LW9kWKu5qb1OkWjJRBr9NgDCr9XY2BwhiKb7oiqxXrRc3yBaxPZE68JFPCnlEUSlGUlc6lgDzakNCk0VX0Do329hNmqkbXMcUr+OLf07J+Br5h4ZkWgelowNj3DPqHDcE4wxkm2DspZj+H0KSORKPXoPIa8rokrwqyqiCvC82SWGcp83XKJM6YliZrPHIronK6wvFlVFbsZGtGZcqYml0zYNf02SVg0Hgt61iICIVNJTLwsctZNeK5PeY86FPKBGBa4i1W7KxmjEhxCoc6CamUQ1kblLUpZAfEnlP6hVZolPUGlbZaaChcReok5E5B5YhUuYlhOViGfAYXx7To2tATJrhdEdlSxFFQaf9HCyXqAobwUwuKuiBrcvImIzdTEndD7C1JwiWptyKzEkoj1wxts3I1IC9C7UKzFj/1HTPS0TU7dMyQjhHSNSM6RkRktf2uGRKaoZ74FJ/6zMx0JHaqFQ8SU3LCol6yqBesWJMYsVZFKOuSDTmx+Muu0LLT1aKmnJc0i1oHojwvx4cUkmy9gLuBx7gXstPpsNOJGHe6jMIOgyCk4/paTWB5ErCeuOQyAS8gc2KRbdpcpO114XIiRwPuNV4oUeGGVZuDuu1H0pd1Mjlb6c+hZYwdh66AjX6A72hN91ZS0ra2WfadRCtJKUUlLzc1DycWj89cTkT+XgBeLyHafYHfe4ZvTXBTA3Plgcj4SyGCMOgruSZZmk0supxSYCAsYu1jcdnXep1aG7RRLdtYZGT1shQlyXtLQ9cmFW5KMphQDibUgynWzpzOzopRaNCzLD2ZbQuAYdoUZUhedFBFj6rsUqQBRRKiUp8q9qkTm3ojygEWamOi1gZZLDB+TdVI6VRN48m1I6fWkVIOYpphBloVocAYZNAvtb5nYAiz2Sc0PHwp+jB8nWW9b7oESD8gJNTrxRZAVFjEYkCyqE7Iku7rtX+/srlyDRVC73TZMF3CZFEzOa85P61ZrkTBoKHOa7ysolcoelWllRuGg5rp5jGqX/HVf/Y+/lFAYTbES8XkU8XsYcnyoSI5FlWQBrNj4N40sG8YWAcGdb9Vv5DiuCbe4CzO8JYTvOU5/vKcYD2hk53hmAKgl2CVFIHDZuCz7vv6nj7r2Uy7FscezBwbtbbY+/4Rt75/m2AdMLkx4aPvfMizrzzBcIZY6gBD7WOWB9iNryWI5SrhWw2RZdAzDOSJPqgbxOnGL8DLGkoB1tdLVsmCdbpiVcxYlws21YKiEfC+LTJyap9ADQnLVqUytRek9pLCalUD2vuBgVd18ZseXtPFM7p4dHSxnmtFOFLMKEIjdkXtKGq71lkvuxU4lT7+gqGBPwJ30DJdVd0hSUPidUC+7lPGHUHO9QXBDhLc7hK3u9LZ6661XGtguni4GrDXsQXvReXmVcGJj4+Hn/s4iYeduFipg6mtQ2rKuNbgfSEgvvTjagvstzlZV8QbpSfPRc0gr2pWRckq2LAZnVHuPGU9/AzzYMUb+zf5H+1+lW94e4zzRk/WL9aKT9Wa41svmI9jwuwGvdU9vr95wh+mP+KZ9YJKCnpqjwN1yLeiN7m5M+bGzohhJ0Ls0OWsFSsSbT8iBYN1qXOyKTh/smbyNGU1zfQ29vdNoiMTf9+gsUTe/8K+RKFqKSQSW5723BR7BH2umrLs4Mhzi6i/LA2KGeSTmvwcyoVc90Xdw6E39hnuBwwPAoaHAd2h2NTI37JxTZeh02fkDujb3S8+zzWD8XPgvQD24uVxAd5f7W/fU+UFs/lM/4nRcKSLcYp5QTEv2zxrs4rbomUNaPRs3JGLM3Rxhw7ujoc78jU4s72BaeB+mZv85bHNf/0B/PBJQdFY7N3o89vf7PI//rrLezcNPRbCfRWlnZCYxyTVM87mj1nGp2w2FZul3OsOGIS3uX/rTd596xa+/yXGO1e3y8X3l6KXy36bSwGwHufMHytmz2vmx6BEGUqrHzjsvNdl59dHmO9G/PFHL/nud8/5+Kcls3NRs2ro9GLefNvi298Z8Vv/6D63b9y6VMEtni1Z/fefsfrDTyjPVhgjA+s3HcxvGlg7LkbX1uORtFCkpSLTuSQpim0uSYuCpMzbXOTaNistC+Ii1X3B99rD4qop1M8eJyqrMTYiV21jLMS32iN0A4Z7PUY3BoxvD+j1uwSOT+gEhG6If9kPCJw2vNTBzuzWUuACpNP5Sl8DeBXqKpAXS8HwF+8q0xfmsFgZ2Ngjm/P9BR8NHvNT9zM+qh9R2RWDoM83xu/xzb2v8pXeV7DyrrZ0WWwB++Vc6by4yGL3Urz+D0aRyd17Pm+85fPmA587d6Ro+u927xRrgHKSk5/lWoHA2XFxdjzs3i9W16mqiuV6xVzA+m1IX0D9q+su5PcDz+d/9k/+he7/N//u/0uaZ1+8LXVBsig3iVR9C9q3z5fSty4Bfe1lL1mrDcn4w+Po4Iibh0fcOLjBjYPD9rrwK2b997cqyFkVLVj/vAXuBagWIH/6Yk0lD6kyJrNNRkdXmPbCGL+Qye97f2/bQSlFJuzyXGxDClQlwPiYQCqdf0ETlYN4mWvAXQrW4kXexmU/a1/b9q8WJEjrjUPGRx1Gux12xhHDfsCgF+AKGC3KHaczqsmSarqmWsRUSU2VG1SVR1V71LgYMg6wxX7rb168IfYaGqi/CAHsBcB3DUzxq9+uE1Df0Ova11t1eqP9J7e2AXpfbC9zur99bVvDro9/mQcoyppcLBiKilyUpXJRu6jaOb20xO6YeH0Z+1aYSmGUJWapMCWLGl4hhcEtmC/ni86+qy3OzECUDHzM8CL7GKHHebziH//zf0rC/Bqcv25fDpz/vd/7PQ4PD3X/Gpy/btftV6+VZclHH32k+2+//TaOI1os1+26XbdfxXZ9vv4Pp8mjsXgpi1x+kZXkaQva65xtQXwN5otX2zZ/7j3697bvK0vxkKz0YE3+rgwSv+zjd7PJtCe9nmSybcxBhLPTxfYcDe53BhF3373F/a/e4t5XbjHc7fMfuq2rjD9JP9GM+sflhJ7p84/Dt7Q/vTDrL5qwqz9R5/xUnTJTsVic47402Ty3ObNDTndK4ijRVdC9pUN3ZXPYeLxbj9hdhGzikmmnIA4rVmXFR89MNrOAnmfytcGCbvmMqJnTmyuCRTuJriyLVTcgDTsUVp+sG1EPanyrop+Y7GxMhrmJQ4YlZtWF8ERrVFBT3Cwpbq9hvMJxZEAsUKRBbZnURYf0fIf58ZCXLzqcTlyWM4syFV82cKuGXatk11aMvZIdp6C7l2DeXZHcTMhHIitp4J/6hC8iwmcufiyydw7Wg54O814PYz+4lGsVVuTpRxlnn2Q4ocnN90N6ew7VtKD4JCb9JGb6eMmiSFg7ivVOxTxogfCZWTP1TY17yUSa3RjsxjXjFMbKYGRY+IahXz/3XY47Nmejhmx3jT08o2PO6Jz0aB4foZ4d0SQhNjW9/ozuKNGynIZrY0iBgEyKCegqg3bZZuKFLabIlch5FjrqKidTrVRw0ijSuiFuKtJasWlq3U8EjRNczl9SdGYY8je1gZ2A+jKSl/7rEyt24eCvI4J1p42N9F8tWwIYbptySopOiiXy766hPQ9d8Wr0bHzP0RGIlLDvEvkencAn9DxMx+DMSHnWxDyp1zyrYlLxmTeEkS6TZTVpUzCpUpibmM8cohcB/gsPe+HgYdIJTA72LXZ2YLRvsHvTYnQrJBj6BMMAJ/jFSh2rJON7z2f8aLPhB+mSRVXi1gZHtUlH5VRqw3k1JXVmWFbCwDQYGiZDYb8WATtpRC/pMCv2OK3HTIyuZnR3y4xemuKsMzJlkFTCvDVJhLXdbFkS2zkTpylxmxKnUbgSF2oCpmLFhuf1nIfGOTN7Te0rPYHqhlCGJYVdoGoHSwB0b4/AHuCafew6opaigMqiKEyU7C8lW8zAEZ/W2sVVLkEl36dgQE6vKelR0pUwShyxqhAWxQVl/CqavV2neft68cKYQGnFhot+G9VrDKjWR93WE6FSnNGI77mwZuVYsgwqKapxbe2r63Z9vH5AZydiOI7o9gI818NzXB3CuEtXNc8/zHj+UcazD1JOHmaa5WS7DR3xZe2ZRAOTqGcS9k2ivsi3W4SDNkc9S7M2230iYLfIwtc0uaAxrcxmm7cSnHlJk7fKG1rJQdfxbO0BLiT9hYFi1KRFwyQ2mMQOk5VHvnEgN/DrEr9W2JX8LQO1cagKU7NqG7l+WA2lV5B7hVbOkOuAAF9y7sokqXxvR4rSJFu2BrFE4tazXd3XHpR2e2qb29z220KBemNQnBhkLw2KaavosClilv6C8/Alk+4z1r1jmuEEZ7hg7FjsOQ5j32XoewSO1xbICVXd9cHzUY5Dajek1hbjWtokM4ts4ZDPbXLJM4di4VDM275cmkT5ojX9aKCf0/QzVD+h6MVkUUze2ZB2NmTRmiRYUbqFVlmRcGRb2FvveMl2uz20j602FZAj3tQgvWu4uFswVX4EUBWgVX7sysMShYraY8fpcNvb4aazy645wvobTLSKRP98BZNlw2TRcH5cadB+tmw0+FPEImEgE5ntpKqefPWNdtJ1m22Z7JwqOFc0p4pqKvdLsEID/4ZNcMuhc9sm3JPCRAOpO5TdIH9vMq95+XSNuTynk59z056ya0zoqwnG5phsdkrZlORNIeUxLHoms6HDuu+SLO7jfPhVrJcH5J2Kk69OeXEwYxWXlHVFEVqkUUUm1gymWAcFNIi8aRer6WA2sg3t1nYFm46y6WLRQQo+TPqWRd+xCO0cw1ihqnPi6oxNMWGZnSEG8/3+AWORxw/H7Ea7jKMxO+FQ7+MLRQQ9Cbwt1LnM2+Id7cN64dF6MTH9S5qWE0YRq5zn64Jny5IXy4rjZc3pEjIlx2eD6yp6vYyomxJ2Y/yuWBKIJUxKVaW6+FGKjSQ0d/Zz/7YstUUnbVwoRbTLrXpEcEVRwqtc3NTD3rhsHtd8+OM1H/1kxdknohwghbAp9WhBMnpKNj6Bww2/+c5dfrN/m7uEmJuSRR7z1JvzfDjhZWngHb/Dm+E3eNj/lP/38g/5oPyERLT9t8/V7XYU0NvBt1xCAR/xtQqTNbMwFla7b3dcdo867N2M8KWQVgpiTAtbAHgNvl9kS/9pDdZvQfsLoP+iL2B+1SiKK+8RUEak+2OR940L0qTQyjKVKNyIQFBg6rB9Adq2n9sw6Fs9hvaAgd1j5Axa4N4bsOMOGEr2+wzcnn5WaX16f/4xUmY5n/z0Q71tHtx/Q1uBaBmRyxA6YU21KVpJ/K0sfiGe58fCoM7aAk8B7ccB7n6Iuxvg7gW4uyHOUIoTa+aznP/mLzN+/4clL5cNdhhweKPLf3a34TuDNV8J13hSoXZxFMkJ79pUfkPcW3FsLjluZiTOjFI+j3Jxsn16zi526WEXHm7h4OY2Xm7h1RWeKvDqEseqce1GiKmv/v5WRUCHfyVv+43nEC8MNv2Kv37ymD/+4xd88OOUyUmHSvn4gcHd+/DNX+vzz//ZXd64J3PqYrGzpKhnpOfHxH/4jPSPzlFPM5pQYXy7ofpHio97c370fM7j6aIF2stsO+a7NIu59LW2xZLFsfFdm8BxdD9wr2bn1bLuX2QtL0UpqkrK1Qo2hbJRohQkqgmlQZbXLF5k2lt7/nLJeh2TmzlNr4JBRd2pIBC/6p89buR4ujO8xdt7b/Hu/tu8vfeAw97BL70WyfcU2wAN3IuU9eZnwXzpFzJOOc7ITzJdBFYaikedF3x69JRPxk95EZ5jeAa3okO+uf81fv3u+7x/6z0C+3W7N60qkDUarF9twfrJudKe948+y8jzBscxuHPX0xYKD97yuXdf9q/5+ph/UVJMCoqzjFLyeX4lCv3Zv6jJ+MbdAvXO2L3su7vulwbwNbCcpppxP5lOmU0mrSJFv6tfF7KA2F5pCXxtgSXy921uWcNi/1Tr1+qLXF8J2SdimyXPR3HMy5OXvDw9uSwI8D2fGwdH3DhsQXsB728d3vj3Atrr+9Zakc9L8kVJJnlekp5kxI9TErFgOM3JJgUqrXB8U6uZeF15rrbxezbewMbvO7gDG9u3LtndFyCxqJPFSc5imTGfJyxmCbPzWMdqnurPIAWYst10Eaood22fNVurKKmsFd+HdgxQG5Ll2bjS1/yasi3gbEp97a+aQhf0yN+5CH0BLUwiq0fX6ROYHRwpFGw8DGWRJ5UG2oUR3lpQbNnazbbIW48/bTy5DnjyjGiiwpzSz8iDVI8ze42HJ9fIysGtX4VT23qdH3jYkXNF/ULU6yqsJsas11hqiVnMsZwSy4N60GcZ7bP0RtrkyZLnEhksyOaQJ1JxzdKfsy361mMsKdQVG5Sq0a8Z4h+mmlbkrxBmfqPtqmqJCxsrGadsbTcaURiQY1pnYde38mJyvOvX9f2qZd3r3xF7iO3v6te3tnaXMm/6JJXjwCK44xE9iAjf7RN9dYxza6gt3/T75GFfZK2uRpq3ljSSL5a3Y0ApvPijP/5j/vP/6//pGpy/bl8OnP+3//bfsru7q/vX4Px1u27X7bpdt+t23a7bf/imJy+0RG+FEuBeidfaFriXfrld1n0B9hXlixnZDx5SfnYsYx/qu/vU9w9YFoqHP3nK+Yup/tvDvT7337vN/fdasH7v1vg/aEX803KqQfo/1rL3GXedMf8kepvfDB7QtfzL7fG0WvCBOuGsXhMYDru2RZxt+PFpw8vCZePkenDWPfU5+GjAzssuw47FjcDTPsSzXk7uVmSNyI9veDlzKc67Gsw4uNnw1r2cG+GcYnFC+WxJ52mFv9Km0xTi9973Sd0epbFDHnUwmhC3sOnkDX6lsAVIaTK8IiHME1xTpNNzihtr1G5K088xfPF6NjRLndQRnV7ydY9J3OV03mE29dmcO6xntva81gCjazLcaejeyPFur/BuzghvzvBEZnpj4h+7dI49ojOXcOPjWRH2/T7mva4OYyRAWc3zHyZsJorBkcuNrwd6AuNi21Yvc4qPY8pPYspHifbh1AD/0GDVzZm4GWfCbK9LzgzFJLKIhXYmsJBhMcgadgW0Ly2GyqZTiEe8RR6YFHsV+e2Eohuzmjmsn/UpF9HlALoFPC/GsyIlJ1lYVxcV8dsS+Au57e1nbucuXwGp+tf0eFwbYGtvebM3xxmdEfQndPtz+p0FHcOgo3+6dIweXXOA40QYTojphFg6R5hugGmFiHNBLky3aU02ayiWDZWeOOBy8qC66G/z55c1m/5KEwAkq9tigqSpNDNfvobsb7sDHNY0e4rNbspTf8nxIoWXDuYzm+C5j7uxcRqTKDTY2zO4deCwf9vh1lcihjcjgoGvZUt/XpPt9mkS82fzGX++mHNe5ES2za/3B3xnMOLtKGRSrHmezvkkfclH5ROeVMdMqikBikHh0E8GDBbvYK3vU2cjgtpkj4LAqAmMBuFXeFaNbxv4TkPgNHhWg2fXuGaDL5LlbCdZCm0Qr30K61LxdHnKX55+yl9MH/J4c67nvO5FOwxzC3edU3cNNrdMljcNFndNVEfAW4c78Q7vFDe539xm3zzEUTZW2mBlSk8ANeJtLyQ6wyExXNaNx7JxWSiXtbC3BXqva8pKrq0lpVZDUJrR0mYBigoaDUkpLffvORa+ngxziDwpyvDpBhICrlvYZgsIjDoNo7DCl98VwClTNFmhwW/53q81YTb5DuvM5sWJyfELgxdPG2YT8bE36e063Hov4NZXAm6+47Nz41VhRiPbUf5mXlJv88Xya+szOTg/r/5iYHg2hliyeLb2G5Z+ZdTkVUIudg1VRpYWxLOG9alDdu5RzjzqjYug1U22lUHX3u+t9YAbKs3Qvwhfs/WVDsdT+hRvbIPGM6kDgzKEtFOz6easOwlLb8PSXzF3l/qzXPm0r85lukR09U+H3nZ9T4PWKSk5qWYYbk4Um+OK9LghPzZRL23KuUmuSnKlWHSXTKM502hJ3IupBjn+wKBnB/ovBk2A14TYTYBRu9vvWGEZCksANUMUB4RFK9L7bZZjRa4DUohVxVAI8z62KGPxxLYp1w5q5aBiUQ5oJxj1XK+ncHczzHHLwm/6BU0vR/UKSk8sQRxqHOrGozEki0qHqwOJxsVoXEzJtYT9mv3Bhbe9sM9NpyDyTPqew47vs+eFHPgd9lyPwK0JnBLfaW0GmkYmhxVNXVI3V5Zl4lkpVhuTTSaFAzZmYtKsDJhCcwbqJRgrE7NwsV0f/5aHd9PFv+1i7bqsNnD6seLko4LpQ0Ut9heRwf5bDvvvOBy84zC6bevCmBM146fnSz49Lnh+YjI79ymU+IzmWDvHDPwn3Hbm3CxEBaehPyvpzDOc6QqShCTuc3b8JrPpXXBcdh9s2PlqDjuO3q+yT0sjIa5XpNWGpFyxyTbEaUYaK+pMbCsczNzBKZ3WnqK0McTOQplYlYGlFR0szEZ4+BZG0/5tsW6wXLFMMDW73dxKP1tdR3vK2j2RsA6wwxArjHRuI8CJOjhRgOOIwoih4+/6DCf3hHlS83xZ8Xye8Gye8mJZ6HWyb02jYC9cM/RTXKtqwU5T4dhKX+Msu8K2K0yrxrQFWFY0lrD7FbVVUJiKlDYSQ+57JcowUAZtlrPEMBg4B3zTfZdvOO+w1+zwwYdr/vR7Uz7+yZrsSYF3VuAKsGHGbAbHZOMpR2/Cb769x1eHfTplxUae76I5z5yEh5+NaB6/w7t33uDwaxZVJ+Hx9JhPT455fH7O8csV9pM+g+M9utOBLhZc3s2Zv1eQfaXB6jvt04dhMHQ9Bo7XZtdjtM3DbVwsd+2/m6VVtlScf5Jy9mnMy0+WvPxkxTpOKaOMPExJ/DWJtyHe5sRv+5mbvEZIFpAkzDuEWYcw79IpukRll46E6tKtenSVXDcj3NAmHNoEQ4tA8sAmHMnyxXpbFzx9Uas2uWaG63gqeaGfodUieyWPPw61RL6ENY74ODH4b3+a8r2PE9LGIjwYcXhvh2+/5fGNw5KvDnP8Zsv8vwyRQimpVcbLbMan+ZyJt6TpbHCifAtwbT+UYVBmHnkSkMUhWRKQxmJtItZKPnnuUWSODlG3kEqimoK6yalFoafOdIhn8nLWoYh3cV2f/QOLr7/f4Z/+8xFvf8WSMlYNxBf1lKKaka9m1N+rab5r0Hwo7E8b99d6uL815uFBwV+8eMhfPvuQrCy4O7rNN268Tz/oEbkRkRvq3PHaLIx1Yau7dmuR16pBybOiFBO2udZZfcGygIOi6pCg6g2q2aDq9WW/al5nW0thl212MIqQ4sQhfmKw/sggO3UoUhdz3MG40aO+0SEf1GyynEU2Y5Y/5Dj+hPP4hcYWe36Pd/Ye8NbeAw3Yvzm+r1n3v6hpmeytCktVCEu3pi5qDaD6QwcrFKUrpUH6/DTbAvY509MZP44/5KfOZ3zUe8zCW+simfvGbb7uv837w/d458abBAch3qGPPfzZ81IsXZ4/K/jkpwmf/Djmk48yNiLXrxr2/IYbbs1hXbKX5lo15fLcCkzcXQ93LCB7C7pbuw7FUJH2cv2cop/TFxb23KCaCau+oJzmGuAvZ4UeZ11uf8fAGbn67wlgrwH88RbMH385AP/vuwlQP5lNeXH8gufHL3lx8pLnxy94eXJ8BbRvWfYauBe2/ZEw7Y8Yj3Z+abFBualawH1ekMv+lTzf5oXagvAF+aykSirqvKLKap1FjktGhqJ2YLsm/tglOPTwdjxyAfIXJflSka8UZVppsPhivCjWa/I7OktBZztjop/T2ILpmighIb7tZckmL0nKVuGlHbpezQLDt+NTbcG1xYGlpFcXZF7iwq9+R7O72z1/8V87xpWiiS14LJdby2j0/d21TG0FEgQuoVgn9hzM3RrGNdWgJokSlu6apb1mYa+Z2ytWxmbLJH/FJpfCApkQaQsMjJ9dNlo1sVfhYclzZmFTZ462jJLn13zZkC0a8rWJVRo67MrHKQMcsfVSAc7WokuuLV+mWVLwYMh4qdH9i2XJMm7sByX9oKAfKAah5JKBXlfSkXHEa4ebfC/xgbIxZCdbV8OikUpeHRYNFtmLnPjTlPixIpFC3lU7fnbCivAmRHdtwvs+4YMu1qAHURfCbpu9K5Ygsu+2QP3Zk2f87/7X/xv+649+eA3OX7ef367B+et23a7bdbtu1+26Xbf/NFuzSlB/8iHVdz/UrHrzzUOsb9wnvb3L48dnPPzrpzz862e8+OxED1ajXqhB+vtfbQH7o/sH/0F85oRh9MOt7P0PtOy9wTeDO/xm8Cbf8G/jma0SxaSO+aA84XE107Kzb1hjwsbmL9ZzfpIkzK2Y0hRfXBi/DNj5aIfByUizf/1eQ77XVqybS7QMeCogaWaSrlyUeLNGNaMjOLpnMN7NWC3O2ZydY57EDJ6X+HFbsV4EBuuRQymDM2dMU+9Tpz3IBPRoqIwG5dYoX9CFCtORKAlHJ4SDc4LOEs9JcUXWV8syO1o2rqxCisZjk3hMTgOmxy7rU5PNxCFZCAPTxJDP6Re4d5Z4b8Z0bm0YjRN2ejmdGsKpR+fUI1wG+HWXYH+H4O6IjRfy8qEAjHD4rs/4/s9K9EmFurB81HGGOsmpTguq05xaJjikyXi3U5F5GVMB7c2c06rgzG6YdGxmkUMjx49h4iujZdpnFjuFxSg3GNYOA5lsNG0q06IyLO1rXFVGC2YLwzSvMbQWejsJ0+oby7yJTLK8mgbRWZBvkZPXvyhRUfg2SeSzDn2WbpdN4yO28ZnXkI2X1DsLmsGCZrjQlgQyDHdLC1dZOJWDXdm4ysauHM1cqCyLJKxYBjmlU3KkAt6oPB5gMBRATiZ3tpX4MrnCldDMYmGqaKC+jRa8b2W3JYvi6nFt87xyOFt3SaZd/ElIsBLZa5FWNnH3GjioWeyXvPQSnmzWrE5qDdibTx3c1GoB+x7sHpjcvePzzjt9bn+tS/8gxPyc9cHl/m4aHqcJf7aYa6D+OEsJLItv9gb8xnDE+70+3laaVd57nq/5IH3Kj/OHfFI+42V9yiqv8Of3cJMRfhngFyG+CvUEjTB17drCrltPP6utvtAQoUWNbVUa2DHtGsutsLwGS7zigwYrMCjMjPPFC17OnjEPT0m6U6LGZJj67E1CdmYew5XPqAiJjHYSW1pcZszLDXO1YV6lzJuUORlrq8AIPPwgvGSlu46rLQrOF0syYY+LdrQwj+2QUXeXYWeXfjSiGwzpBH0iv4/vdrEMYaS1mEFZNm2+EoUAsqrFWy+aY8GwZzDqG4x6MJJ+1DDwCtYvMp79darZ8S8+LVnN2uN9MKw5OCjYOyrZu1ESdJW4rFOIj7NfkNsFbmHhZhaWlrq4sn9F0tGrtqEu+/lF36ooBMiQ06wyMXIbQ0DHzBazaIzUplnZmJOA5uUQTvoYq5C6ENDKwHQa3HFN96Bh95bBaN+nvxMSjWy8kYEbtUCzZrUIk2ULPuuszwthyyWodUIlHt5JTi0yw2WtQf5WQr9VvjBkUi20UQEUfkXmlyRezsrNWNg5CydlbiVsLFHeEE9lm0Y51KVcN9ssy2YZYpQ+hvJpSg8SF2dm4y1MXB0GzgKMVD5qTS3KFp2cVTcm7sRsuivNcFdeTCkWB4Zc72WGVYTl5a7kYAoI2wrQ68lN3ReQXH6adrpSspwNr/qtdL+WI5EQef/KwhRQvba1xL9+j5brFEC0xrYLrdLiuDmOl+EEKY6fYlg5lllgmSW1IVFQm6UGTQ1RKJDzznIxRay9DmjKDlURUBQCcLuUpU9Vua8UILYyyb6tCB2JAl/CLgjcqg2n1kB+KORTW/zoMxpy6kqAoPYk0LxQKVzKG+qsoYktqrVNLZOhhUtTujRdC9W3yDoWs7XP7MRj/shn88jT51npl6z/809I/8VnelsIA/vAGrPX7OLPb6DO9tic9Zidu3oyvBPAnUOTO4cGdw8N+h2DOkupJhPU9Jzs+YQXf1jw4vse+dIg8GeYlkyki9aLeMRbbb+2qZutdYCoPmgSWK2BmBYS03oaWw0NqesztPS8tuxwLG3z0ti2Ls6zMjCzBiuXYhZR7ag1u9iU+1vTZlOykWOaBYYl+67Npt6PpZaxF3uTShe1SFjUHRvvzT7jB7e5+eA+d28f6Yn9L7ru13VCWc5R5YxSSZ5TqhlNvZXBNUxUM2aS73GejDiJeywF0KxqMpGJrdprXi6M+y3L94Lxe6ER0fal0KHGtZRWSXGtUmfHehVynDpWyah/SrLzQmrRqN1d3vPe00D9LeuA55uMP3wy58//asbs05zwRDE6y7FnUhSSkNobnJsLvvZVh/fueuz1FLWTMvFTnsQmDz8Ys5pFhPTpxwOsM49qJkBNQ3CvoL5xziT8jKfnjzmZTSkdm8YPGBwc0t/bIxjt4PR6EASsqpJZkTMvcgp5LrnSRCJ64LqXoL0A+hfAvURfVC9KhZFmlPFGe05LzJdLlusli+WChV63akEwefZRDkYjDOqQ3dGujvFAYsxOf4dRb4TtuKzUmnmxZK6WzKsFCyU2KyuW1ZJFs2LZLFk3myvEbDn2TA3YB0kHf9PBW0a4i5Aw7RJlbYRZl24QEg4dAgHtB9ZrwP1F9vomcblmOp8xe3HG8pMTsidzrJXCWVXY27DEK7yBVW3ywyLkBypiiUPPt9gbBPT2AvxdRW8/pX8Y6+eBL2qGgHxKsUkScpVQqJSqTsHMwSywbSkMqxGlaD+sCcJ6a9ciMjACRpmUuUOe+BrAz5OQXIP5Idmmo61N7rzR8PVvmdy8m2P7Cw3GC/O1fY4BW/UxfxjR/KmB+kGhi6DCrx8S/fYbPLq74Y9ffo/vPv5z7Qd/o3/Eg4OvU1o7PEzmHKdnOKJwYrpalUFUTsQSwTPbdVezvwXMJPumh2+L6oNHsM2+VpcxsCTEGlkcYCq0qo0onaTaxaDRKv5ZIaoOa8o6pmrW1GzA2GCYGwxrg2XFuE6MJ+uyinRqsD63WMw8ZpOI6bLDOtGyRjRpv723+lNUcEzqP2fpP6FxV7qA8YZxwJ3qDjfyW9zIbtHJepohewHEX1aJ/ZwmzGZv6OCPHJ11f+jibZd1oXFecbw65genP+GHyw/4IP9EqxH4mcub69u8s7zHu9l9DocHGqh3RlIQpyjOci1FLxZD7XURZpXBqevy3DJ4RMrcSKiClGgvY3hT0b9VEu4XlHbMqtiwLFYs8zVxKcUxX/xdZP9IoUVkh0RiC2AHBJVYgri4mYMX2zgbG3fl4C5NLLEbmJr4uYcv75PnaLG82wL3xta7+4vBVl5bvnzP1eUL1ZWfea1VuRFbAc2aloKxLYP6wi9cjwOmEw3WvxDQXsB7YdqfvNRKINI81+Vo9wY3vJvsmgf0yj5+2oGZSTYV4Lx8rThB7+ct0K6Hj1KgKCC8WCBktQbhRfUpvOHTeSOi80YH/3ZAcDvEPfQvxzetj7ihgXWxCpBr6fRszvTpgsWLNauXccuyn5aoWQ0rEzv39POX7DrN9vZMrB64fUsXh0Qjn+5OQHcnpDsOCUc+nlgSumJJ2CorXajVXUivvyoS+pxiyVZ9qlINpaglCuCvSRetskHQc2FYs7Fj5vWC82LGo/lTnsoYaHnCaXzONJuzKeO2wH1bOBY5ISN/wH60y43BIXdGN7m/d5eDzi47/pCRP9RWcEVVklWZtkPLVd5aolU500XC2SzlfJ4wXabMlinTVcxilZGojIpC24jh5Fh+geHmuo+dU5sZlZm3Si+2o9V/RFGm/d5Gq5pjhq1FkyFZVGoivMYnwMevQ9336wC39vFqX1ttyPdTMn5StRaGXGxMlhuDxdrQRZzbjatDVLZ6fYvB0KY/dBjosNvlgcVgIH0L1/3lc1uNFGYfL0h+ck780yXxJzHJYxmXiKqfwh/mRHs54UGhrwPuEMyOgPUd9AA87GCEXc7ilG//03/Os+XmGpy/bj+/XYPz1+26Xbfrdt2u23W7bv9pN2FQVn/1kOovP6X+7FgPZKwHh5hfv4f1tTvkhsGTj15oVv2jv37Gk49faAa+F7jceedmC9i/d4vbb9/AFfnHf49tVaX8cfKJZtOL7L1rWHzDv8NvBG9cAvVJXfChOuMjdUZBxW1rwC12+WSd8934nDNrSerE2HZK313hrUzCkz3un91nZzHUDC7BT43UwIgNLeNc5Y1mflKIRGkrXed4MrFnEIkXohAb7YJMJVR5ip0UeBuFIzPUMi3vK8RS1ulF+O4QU9mUhdK2BuJXL/JsZtlgKkPLupmViS0V8kGJ1c+w+jlWTyLD8CoaR+yTbZThUtQ+Kg1YPuuzfNphfWKTrESiWbHGQMk8mV9j7qT4+2t6e2uGuwk7w4xRUBBOhcUhQINHnY9Q+Q7V7YDhr9vsjjr0ibQ86xceSzKRv1ZUJy1Qr05zqpM2N9kWeRTGqJamzpi5KedmwRkl54HFeWRz1nPJXQE72gmeblrRSyv6saIXK7pxqXNvU9BdKzob8XprpeoEyJOswY4LdoKOdrn992Wu1aCyTOyyav27q1ZWrzI9lBNS2hIBiRsRux3WUcQyjIiHJulOQbyXke4uSfeOKTpzKi9GeQm1yBNLXUJlYSlHA5oaXq5NvKzDsAjYL33uK48HjcuhU9O1hVHbFim8ilZpoJ1QsD633L6nUTlFvuZxEfNRXPD0zGE2CfHOQzrnPqOJR1gKpGbgdyqq/ZJ4r+TUK3leKF7MFMVzG/O5MDpF5tog3IG9WzZ334x469aAo5sho5s+Qfd1j2rZzy+yjD9btIz6p6koQJh8oyeM+iHf6g80cP/5VjU1nxXPeZifMCnXOqYCjJcbFmXMssgp9b6wsSqHXhkyLLv0qg6hFM0oYVyIbLQDytUgWNlYOoRfL4UuApDadasY0DEa+pZ40Tf0AoNex6TbsfTEu2Pm5Ms5m/Nz5mdnLKcTFss5q+WCTZkSmzWJUZG6kAU2mWeSOcIYd+j3hwxHO+yMdxnvHdDvDvAsG09LF1u674oUsnh8a0lkS2fvSl/i8/Lgws5abmC2apit0NLfIst9/Chj+kgkOTMKOZfkuHUq3JsK78EG9ysT7PefYx/NMUyRhjcJUo9e2iFKI8J1iDftYK99zcjFFMC8BYarymoLXpRJnZv6ulZnBk0mywZNKsvadHm772WO3NDS+3Jd1H1ZZxmUUpxiOJSehdm12L1hceO+xf23xT+49TD92zRVNSySFuAr1La4oWo0gJDnpZZ5zuK89YrMVAvMil1CbVJh6awac6tM+WpCtJXeb/Ftya7R4IuagygZ61zjGnWr7iB9KlxeZVknYRYN5dIiXdqkC4tkabNZCJgj155Wzt/yKmxHCkoaROjFDsAWSdXIIui6+B0Hp2vjdC3t02x2LIyOTRNKaYpBriqKXFhiG/L5mnS6Jj9ZUpytiNOEmbnhvNlwVi85kUnZpMFIfbyix9A4pN/s45RDjCzSRSbaC9Nq6O02hOMSf5zhjhKcnQ3OcI3ZX1GRUlYp5/mSdZULXxTPd7BFTj60tR1HYAyxqh55HrEqbM7zgvNc1CRcqjLALjv4aoinethlhKk8Lacvk9tXLskaKJJ5c9sSG4Oc+jIyHc1FkNLUmWwRHMRqQiwvFI5RaTsUkcB3RBnlrEPy8Q7zvzji1m8u+fX/ckPHH2HZXSyri73NpikFNw3PzxqeHDc8Pm44nbbQyaBjaKD+AqyPglc2MGffizn7i0QDFZbXAgJ6st7d9iXLsoAFIs+v17d+qfo98jueSWKmnNUzToopp0WbLyKuUl2MuD1YMUVpJrWxchtTcuJg5Vv/9tTG3Vh4Gws3tnBiEyexcFL5HQs7l98T2wwp8hP/8ganrHDcGZbIPnfn5LcV1V0H71aH/k2f6MDDcxUR0DG30uz2ENsZ4tijbR5i2T0NXv6yplmQUrCoGg3UixNGm8VHfns+V1fW6ajJy4pMCdBf6eWNSGynOaG94Y3RQ+6MH5L1pjyzIXOH3PPf45vuV7hn3eBFnPOnxwv++OWCx6cx3TODu4uK4MWK8klOPM9xHMWtN3LefLfk5lGpmf312kVtbF2QmfkF2SAjHeXUno3lhXi9Dt2dIb1Bj9Uq4ezFjOdPznny2QteHp+0hQamqdmid27e5u6tOxzcuEFvd5+lKni2mPFyueBks+Y82TARKWphX5cF67oiryqUBvO3wIpYBpUlkXiWmwZd26bvOow8l4HnsxMFjKOIyHFYLWfMZhMmC4kZ0+WUdbrRhRDC0LQci6gTEkYRYRRoiWLP93BFrl2u41VJoQqyKiepU5I6IyUjbXJMx8ILAhx51ndMlFGhmhpbCoukOEWhLX78JMRZ+9gLH3vuYU9C7JWPs/awV64O+U6Vm1O5GUag8Adm+zzrlTSOeDgpQbTxKomKIK/xEoPptMPDeZ+TNMKr4W2j4B1LMZDiF1dRhjmV2H+EreVEFjSkYUPVtbH7PmEQEgQBvu8TSd8PCHyfMHzV1697Jo5ct92C2ki3bPL1zzDMpdTmotlGhGuN8MwdXHOEYwxpPoDsj2bE331BnZb4b+4Q/PYtHj9I+O70r/jTR3/OKl/hh0OCzg02hsvL8pxNs9B/c2TtceQdaaZuSUEh1gcCgjUFpcS2X+niz23py4Ui8/ba8fkmKilSBCYFYpKdOsKrBm3UfTrGgK41YCDh9AhdB192uYxtsoJM7BU2OfEqZ7PIWC5SlvOESipKhbFflERuQdfNCYKY3CmIU4t45bKeh6jURWUuSpm6SLqys/Y52l+gvBWWlxP4JgfRkHvDfb6yf4uvHd5ivNMhkv0ozxj6emtSiSf0vCSblZo9LSxq3d+uK1bl69tA7vW9FrC3hyZnO6d8Fj3kIz7hcfNEjyF21IB3k3vcX92giQyyQUESZcRBTuylxE7KmlgXuWRKJKrbwsssrUnTmkKKFZMQV0V0rIj9qMdRv8edUZ+jbo+u0aFjREiZXibPoqZo9mx/mvZ8y5qMpElJ5fzbnodJlZBUmWgdvH5tlTGQVuGqtRJUULbWDQLWB7WHV7v4tafDqx0N+ItNiCdZOfhK+i5+KfZOjs5OJTu7rWvWAK/Ifm/j59QWtJvXNlrAProC2MtzjGlSZpXeRqtpzPxsw/o8IxXWu2pB4MLOyaME1csxOg02Bm5lEZQWfuEQShFC2iobyN04CwvSbk7az0m7GWmvZB3IM6KLyn2q0qcsXMrcRxUeZe5SFh6qtGiMmMbYYDoplp1iOhm2kzMYmIx2PMZjn729LqP+gEG/T7/bp9P08IsAY2OTnRckZznpWUF6XmgwX+Tyrx5n3sDBG7kEY1cXjfg7rmbvX/Z32ue+X6QeUFQFny2f8PH8IR/OP9X9SSoqHOWVf8pg6PcZbwF2AdrHwUhbmDilRSGWKNMNk7MJL0+PdYHEOt5c/u7ueMzR/hH74yMso8t0WjOf1izmBqsFbFY2ycbRRcQXFgemlWDYKyx3g70Ny411Nu1Xn82yLALP15YHYuM5Wc2ISyFHVChR1wkdwn5E0BO1Hxc7dPS5LUOV0lRsVMK62Gi7l5851mgLDnpuh64TETqhtqBxLEdnsZWpCwuVizWgRZGZlLFFFps60pVBvDQpExnjyPEulUoWnu0QejaR7xD4Ykcn1iA2g4HDzo7Lzthlf89jb9+j13Nw3Xa8K+dG9iwh/mjD5qMVyU+X5M9jXf1k+TXhjYZIwPrdhKC/xBKlsTzjT//kT/if/F/+X9fg/HX7cuD8v/7X/5obN27o/jU4f92u269ey/OcP/uzP9P93/iN38DzvP/QH+m6Xbfr9nPa9fl63X5VW7NOqX78mOpHjy+Bes2of78F6o3I1/L4zz892TLrn/L4g+ekcaa9dm89ONyC9be5++5Nwm7w7+2zn6kVf5Z+xp8ln10C9e/7t/lHW0a9eO5+Vk34aXnKskkZmRF32eU8tviLzZITa07syKAyJXJneM5Ug7iD9IDhhyPGk32G0QFJ3lCIRHkO5dJgnSgWWcVyaaJKE8ep6QxTBp2KkQzmCAlsW084ZkWi/QjNddNOoOct+H4JGlvQmMKgq6mtmspuo3FEgrcGr8GUSf3AxAhrmqikDlcY/grPKbXjbViDXQvrsgWmlPKoEpd66VEvXKpTk3Jek8SiINzjJOsy3di6cKESJYFxrBlI/b2YwTBlFGQMdGFCyCxs+PTdOYs7Bn1HxKAjLfff8kDl/+IPLP83Xy3LUmNiJmDMKgxhIUwVxnkFE4Wo+lvKwMkUnqGwVU5aFyICysKBdc9j2XFYRTYr32YVWGSi43dlMiOsoFc09POmzVlDv2joKYNebdKvDHwBt0OH2rc1Y18cA6QwxYhTjE0GqxTWKc0yp14XNLGoALSFGZVsy8agNF1yOyR3QzZhwLoTsBnYJLtQHNRYN0u8o1J0+zX7mGDN0hKPdsW8EqleEUQV9r5MANjYeRc379IjZM8UeWifg8DhMPQYO8Lw7mgpWQ//UmT6FzWZVH+UTPg4nvBxtuTZaYl9atE7czk4dRicufgLC0+YliIFOEzIdzZM/JoXyuDF2mR+atGcuBiVgduYeMKydw3GA5P9kcFgDIPdhsFeQ38HeqOGdVjxV6Xie0nJw0JAMvhaYPPrgcu3ApvO5xmZhrCbtyDx1Ww5xCKRWeWclylnZcxZvuI0X2smvvTX6pXMatBY3DF63DJ6HNQho0osJBwezVbM5DgcjVnjEBcmeW6jSlsXCGjFiqZGWRmlFVPbKZWVUkm2Eyoj0ZPwTZnjlw1+VuMnCjcutPR9aTZSl6NzaULpiKWFReVodBFDvq8wX4UJqxHH1q/SlNcvvCO1DCO4lqFZbOIXK7lRiuqZS/0opPmsS/OoB6X46jZwM4GjkmbfoOkFNMkQazbEXfs4mYmbmThK6XBlkrZs8DIDWxk0lxea7S6QY9pqMMRbXvyGHasNW0I+u3yPVtKxNtuJ1aIxUXKNsoXpa9CIxaJkSxhQBrtDg3tHBnePDI7GrRf237RlZcP5quZ81XC+rjmTQoWNKEtcedNW/lP8M2XzCqnLFlaMJoMJ2l5jqAtpgtYGQaOCdSNEcDxDShNE0L3BaxrcRgnvWZ9jzZWQa8xr/S3DR6+76GuG00V/G1p2FOrCoF41VHGDpWpMVelCIkM+SynG02LVsLW1KLaGHBeoyhWURa7kIhduNTkWOVbdhk2JrRnFBUF+iltNsKqUWpUs6oxnTsYzO+W5nfLMSjkxUuSvWarHuD5ktzmixwF+NcZUQ7I8pGlNyzEtk+5QzneT4b5FtZdytnPOo/5TPnQ/Y2OmGE7D3iCkM2zzXtjntnGXG80donpAXJUc1+e8qM44rs41CK0dEkqPnhozLHZZv8zIjQq/3yWtlY72+ih+1m0IS8ptfJ2dWhQ2XCyxCqjbAhN5ryGFJFrmuKIu29CKJM8qzL8UFmPCN/9Xn3Jw4yVOuLVj0ZciD9vqYtmdFrS3upRVj5fTHi/OQx4fW0yX7WE3HrQg/Z0Dg9sH4t36Dy8drAvehGEvXsDiRSuutHVFpS01Cq0oocqSqmytAipVUJYFSbNm06xYsyHR0f6kRUkhTLwYvCcDgk/6uB8NsU86ushELHd85yVWcIoTHZPurZgfmaz2bdKjLuX+LsbemK7TpWuHdK2InhXSszt0rXa5b0cM7S7B1m7oH2KbPFtUfO9pwfefp6yzjHGw4o3Rx9ze+YTcXfDchrXb4SD4Kl/3vsqb9m3OkpI/OZ5roP7TZYJjGLzvhOydzckfTjj7aE350mCnC+atCebNCdb+ksiBqLHpCGNbGMvbZ4/tJQCByjZGQWwWxFZJZlZsUKyrgkWRMUsTJqsNSqxrSkNP4LcSx63vs/wN2xEmYXvtFe93oTNrYQyR8xcfa30UbPty/6prDYorkU++QMqkUKr9ZPr/mt0p10XTwjL1k1jL/BQyunyGqqaSc0WuS6LS0Zi6aEzk0vtBh0Gnx6jTZ7c/ZK8/ph9EfPrxB8yyOcqreLk6YbIRmfaCvC4oDbHrMNvPYMm9T+5bJo0UqwQWlmtjG64GTOTJMKxDutWAXjEgSvr4qwh/0SOY9+is+3TSHnb9quBXLk1e18LtiE+0FIIpPpys+etnC+K0ZBw63HQddsS2SmXsmym7dUJfvJC3tYJyb7b6PvYowBoG2EPJImUeYI0ulgOsQXB5jfhlx2JNjqpjLfduGZ5el382Y/OHj9n80RPUPMU57BL99m2efqXgzzY/4o8efZdn6YRKxv9+n41Z6eJCUVM4tG/zbvdNvrP3gH92+20Ou70vdV7I9UHvh1qR17nua+ZrVZDIc7UqSaqcTBdeyDopIC7I6py4XrOqF6yqBbNirv3ty6KmKGsKKRZOBZAMqZYBdhri5h28osNeOOJmf8yd0S439/rs7wfs7/sa2Lxgn17I7CfqGbF6xKZ8yHx1zmZlUcQjkuUR8+mY87M+59OG4/MNp7Mpi9WKNMlQlRRl1RrAdE2fwA0YDjocjAfc2O1y49Bjf+wxHLoMh20eDFz6YjUhhbqi3LG4AOuvAvcij972L4D8tEp50nvKo8FjHg0eMQvn+jt4yiMqAgIVEpYXEbT56jrVrnNqR4jcnCuTs9LkTBnMVHtuSOHfrtw77ZqxXROZDWFbk/ulmzIUuZ1T+CWlW1C4OYVXkDs5hduqJGVWykzUTryCYCfQSjKi6FVYOblV6IKARp5FLUNbUejj/TXytkFo+5rJ71v+Kya/7et7cKca8I3oq7xh39L3DqmsqlYl6fOU+GVGfJwTn+Skk4J0rlCZKDy19l2OA65n4onv+0V4UkQtBSglmRTmrVvVDGl11JCPZDxosYkMbZe2sQyS3CJLTZLYJk0s8tR8rShFnrVdsf3xFI6rWg90W+E4DYN+F4sOlQo0gJ+nDmny+k6QetL+wKbft3QeDCRbl+uEcS1M7DBsi8nLWLVg/aQgm7ZS+xd9Ob7E775Ylq//G46xBepdvB2bzWjDy95LnrnPeWI+5Wn5kkrsYcSSq3Ob+517jOwxHaMtohGFF1G+E4s7OVeLvKEUxZqs0YWHRS7ncDtvkec1pe7XxHHBap2yWme6n6aFVjSoa7FcEmUCKcIsibolnW5FbyDqXDDckeIFk07k6wInsSwQ4L2Ni76Ht83CkP/8NXOTxJydn2llhdNJm2X5bDphOpteKkvI9XBnNNIKMIPhCLfTwfEisF1q0yEtFctNyirJWW0yfR8oL79vrb+rkuLZAlTZRlUYWpWuEiuhamvzdXGdeiXqs42tpZ5Rt2MoPQDSkioXJ0mbbLHXUJh+ieWrNgKFHSpsWSf2RGb73N6oTKscmaIu6Ft6bueTRz/lk//ztaz9dfuS4Pzv/u7vXh4o1+D8dbtuv3otTVP+4A/+QPd/53d+R1f8Xrfrdt1+Ndv1+Xrd/qMH6r96G0M0YLcDmuMn5zz6SQvWS6xmGz1QPbizq8H6e+/dYjDu4Yceru9q1r0w8IR98w/hjfeLgPr3vVtMSfjr8pTjeklguNw1drU8/A82a06N1pNTBlN9N6F2npDVc6raZGTd4L3mbb6SvYkdOyzXJTOZjMi2cpCxwWIp/nswmZjkTYV/sCa6uWDYEcZ3SHc5otd0aI5yksMJK3PCJsq1/LsA8qZp4RjCLmyl5GUyXgCLXGTYxSdSGzXLhK4MFgVqaQfRhlm13q1Gjl8r+gXspBY7mUtHWYS5iV8Kq7vRwKshrHzVaDa/sPRV4ZA1IZvMZ7nymC6ENWaRVxal9jgvcIOCqJcz6Bd0RyXFqGY1MJnvNMSeTCRr90r9mVvJ3hZMkDVfeIzJCFcmrAuZtBag6iIuACrwcpsodQkzlzDxdN/NXIzC03LKVeNQSJg2Gw9WfsPaa9gImLmdPJd/yanR2+QieqJMYEBpg7IFaIXSakHX3KrJzJrcqClku9cCjMik+NZ/ecsi0XFl9NuCeOYW4GpBOpkM768bhmvoraGTQJCBmwk4bJCKKrgwBCyrDdOlEhl0U2T/BSCVgX+jJ+2FgSCT7FIK4YUN3WFFVyZLRgajocVYJiYjX8ueysSaTN4/KTZ8kq34OF/xabaiTGu6Zw73JiH7Zy69ExvzxNCsm6ausP2MerhmhoDkJpPSQIhHlWZRm3iJhRVbmIWA9wIy11r+OujIMZHjDHOmvZrnHZNjmVPuVbw1Svl2mPFNO6Mvx60YRH8BC+Jnmgbxhc3nYIhdhWmTGSYydXMukpl1yXmtOK9KzquCc5UzVznxeqPLGQ4GIyJhQBgWgWniY+FWIbYKMCstIUGjAirla2ZNXviX4IVISrt1iSWeq2VGI2ylIqMucxqxRxDPdvHSlizLldJyky3wL7FVbRDwVv6nvbtfgbsa7NVgSkvbboTZXZk0Jz0td2uHDb3bFf0Di/6OTU+86TcRzjLA3Dg0S4tmLTYXLSgj7PeqNqhdg9I1yW2TROSmfYNa5FwDE6drEFORCINVWCsyZd60zEclYI+h2oIFs43GLnVgFzRWqQH4ji/qIBaDwGYQuIxClx3fY+iFDN2QoRMy0OyVL1bXeG2CLofzZa1BeAHjz1Y1y0SkPAU8MghNA09UQ+TYE09yUW6Wa5dcAq+4on/xsdNOAMu8oC11H3JtFX93uZqVKWaVYdQ5JrKPlZYGv7hgaBbwVqVCZPIvs9nK5gvSY2xDr5PsiNeyLEtBw6tilItJPpEnLTYl5Tqn3BSUidITuUquAzKJKGosZYMjzG+EMSas/bbYwGoaLGFOyyVNlFo0kNaqF4jVh7CCtDuGvDcAS8DFCAxfiicEMCux8hyVZayyFfNqw0ytmdYbHTml9iGWYpyhiujlHYIixM1C8fggzy3SXCYkL+RRa4xoQ7qzZLo752RvQjJeYh3EjI+gt2+z34/Ys/rcTA64Wd7kdn0Hz+sxCROO/TUnzpKn6pQPnn1IoDzev/9Vxt6QntGlb3boGx16Zoee0dEFX7+sVbUAlq3DiSgtSKSLiueflXz0/Zxn/22uzw3n2w5jO+ewk3LrKGb39gZ3N4cgpqo2qGrdUgUvDiPDIVNDXs4OeHk+4uV5j5Xc7BqDcVTS8xV9r6LnyvNCRd9R9F1FYIpsb0s71BYmteQ2WhuTV69drtOoqeTt73D1d8QbWu6pitIuUbaidBTKrqguwhJrhYpa1AdePxW0JY5YWViNZPG2NzTgn8l5aDXMK4PVSZ/i6ZD8sxHWT/uYSwszrzGdOaHzgo77DK9zit1Zke93WR8EnI09Xo4dXo4s0vD1c16A+gN3h3139FqW6FnR38uzn+z3n54q/vJZwY+PC1SVc3ew4u7oIw77H1AYa07l+zkBo+At3gm+ydvOfaap4k+OF/zJywUfLWJd6POt3R7vD036zRxHnmcakacVb+GKqq508Zt4C9eV6H0L6JKQzhLKOIEi10U+HRe6jknPs6ROC2N74sq+W5GzrDMtfz2xUuZ2xtzNycWqRSSi9f1dsjzTmdi2+fqyvG5dXW77AmBovEBftqRIKcJpBlj1EOoBVdGlyDtkyiYTq4GqIhOP5LoirSrismCVJrrIIRb5/aIt8ChKUcB4BSTZls1hf8hdw2H60x8TzhZ4RU7Y93F6LkZgUHsNpVWSNAlrtdGfST63tH7Yo98b0gk7+GGA47oiV0JlNsR1yrScMysWumChPWUaek2PYTOkrwb0iwHdbEAnHhCtewSLnr4HJivFxy9XfHC65iTNtL3Okcj6GxFGZWv7h04Ig25Dr9fQ7yiG4kls50RVQrPKqBZZ6zV9ed4bWAP/CoAf/AyAr/PAbwvwpOboeM1aAPl/95ji5UoXAUS/dZsX71f8/9If8PuP/pCTakop39lzsc0I3+xx273P1/oP+EcHD/gnt9+k570qakmWJX/xvVM+fDTB69hEPZHJtnXxa1vk0BaCXXz0SzBp+/sXlgSvXr8Ay1/1ZWE+Lzg7yzg9TTmfZihLwN4NdRQT7hV4OznmIIVOSulvSO21thK6eg6Hls+OO2THHTByh4x0HjB2h9sY0bHb817VCYl6rMF6iaJe6OuUbx0S2feJ7HsE9k2K0uTJccb3Pn7EDx495LPjZxxPzlivM+rcwSr72OUIV3V18VbH8+n6Hr7InluGBuivAvYawNf51bowbJWhZFuopHoNvF/O162dgEiSb6XepXjmUtrd/Py6i+W2EETec/GaKIY8fVHy8FHBo8c5T57KedbuPBnDDQeWfo4fCujbNRlJ7pgMu6bUuGh5dzknhB0vtwTJtWqZ7K+tk2VRHUlyPvzhR1oN6cb4FvpRdq0oNluQXO40RkUu+1rAelsUJyrqniL1FRtHsbYLNkaJPCXoEPZ+nVMYOYl3TmmmOFmX4ek7DI7fJjq71RZjb33e3cDU6kCeFNR0bPyehd+zsaWoU0TQm4y8ziiMjMxIdYiaTCrFsqlDvQmo1j5q7VClUq0kD9atapNti2Jd+5zniNS9gJ2m2GDJ8EuKoPRtVwO0X9TkMe3WrYg33+jyxhtd3nyzy+6uz1qeQ5eK5aLSsVgoVss2t+sUcXzFg0psqFw51lpZdAHr5fOI8ImoYelQ7XOJ9KVIq0wq8rgizhLOecLEfsrMf8oyeE4hBcMNePGQzuIm0eIGncUNokSsBOU5Uy70F4oYFyf2q2uA1ETpmmDxZW/dCNp12jZmm1vnOf28Kbco7agu720aPLOh70BHFH6kaGNrf3B5jOv5hq0lwufPCS329vq5cCEIl5Q1a1VTSyFDV6ynWpudyjbIC1GcqEizinhTMF8mLBYxy1XKep0TJyV53t6ThLX/ah+auI6D5zpEkUuv6zMadhkOuni+hSdWF56lC0GkWMj3rHbZbYtBpCZcgHXbrXVma50mii3SN0RFxypRMgcjBU2JYrWqWM1qlvOK1aLWx0u8qkk2jY4sbsiSRoaN2yKA1grh8t4iQwnZ3laDbdai7UWxWfHn3/vfX4Pz1+3LgfO/93u/x+Hhoe5fg/PX7br96rWyLHnyRLx34c6dO1o25rpdt+v2q9muz9fr9h9bazapBulfA+rfONAe9VeBev3epmF2utB+9QLUC2h//nL2hX9XMyF8RwP2fuDiatD+IjsaxH8F5l/0ndfXBS7dQURf6E4/B6j/8/Qh300+/Rmg/q67y2f1jIdqot97y9yhTCL+eiMswzW5m+CYDVGeUrsLmu6UylyKeC5Bvcs7xhv8uvUm47zLalNpsH6yLNnIBE/RsE5guTSYnhmsY/HATQnvT4luzelaDf6LIf7LIeHZEC8VPzxFZRVUMrEvg2YBYWmBepmEkwG7+JZeAMYyuSEDvMZULQNCcCNhXwUl7M+ods/ID09IuzFK2Et1H1/1CFY+0dImUiJHKhL6NWaV46cx0TLT0sJ1F1QosqWmlp6UKnPNHhfwQxkasBGwWljl2pfQNfB8m+7AZ3jQZXBjROB28cxIe2630EML1F8A9tqH99J7d7teswMrylWhWTOxkbExUh26b2bEZkoivnYX7NLtcedXDp3SJ1QeQeFhF+KR7FELkK9sisoir02yxmQtEqhVRUkrKSkTU5mfUTkKu27wSpNh5jEsfIalz6gO6Boenm3i2EbLeBZ5zKzEWmRY85TqNMY4T7DmGVVeMOtYnA9spj2bSd/lfOCwjmRqpP3o3Y1iPC8YzwpG84KdWcFwXhBspRFFznprcbhl5LZ0PSGUZpHHchgxH3WZRCMWgz6l62K4JdZojTdMCcTzbqToDGv6fQPP9FkVDqeZyYu85nlWagKv19g8iAfcm/XYm4ZEUxexYxX7BiXsi6xmnZTEqSIpFUktLE0xHxdWtolTikWAqW0YpPBDABM5ToQJJlLYmYSoQAQ1ft+kG9ntpIkDnm0QaLnUBlMAVKvC0EUqkuX4rrRUu5wb5jZbWz9lzT6QdUaJqVHqkrpRpDIBWTrQRJRSdJLZFLlDkdmU4oUsRSeZRZGbpIVBUZhbIL2hcUwq8RAW/VZhjzuOZrybAr6alp7026qht9cwDZhe1oBgam/eNrQvtJaR3vpEV+KP3mYpjDGqCkOJfYUs11jiJakUAQLWyL4Uar2J4dpYoYE3qHG7NV6vwe03eAMDT/Zr38QbWLhDF0uOASlosD0xYWWducw2FnORb8wafNfAdyHwhO0u2bjsy3F90YSduygTHUslkssJy4v+xfoy1XmlXgc2pEW2dwnUD+yITt3HKfuQdygTn3jlUYotiDIxpRCiMrBzEyMx8WW5MXBdg94QegPo9rdgu/sKcJeQdULwv+ibdYG5WtHMl9SzJdV0RTVdvorZShdW6N0l+3IUYd4Y0YTu9ju0k9YXkvf6PaJooGd+t7Oev1DFQvbrltp/cWzIRLgoc8Q5RibeqKWWFbfCEGvUxx71sDzxtrdoEimMq7XFgGhQqG6AGg9QO13UsIcKRb1GvFLRjKBatMGznGaaUU8KqqlCLWqKpYESOwJppoHdBaNnQs+kCh0K36GQEgA9KZoTZylxnpOUJZlSFBocbgsgfMPW4eYGYV7iZQqVFpRpSZrUWk1GpHljsyT2MzbDGflggb2zJjyM6b4Rs3+j4GBjcPCZy8FDl/3HDm4lRVWC6vhEuzvYgw5mN8LsRVjS70eYknsdjH6IcqSgqdKFJaWA06ZCSRhKxJ63nLuLH5F7LvXdRe4n8XOTR//HWxQrh/p3EjZepO9rRlPieRO84Ax/cIrbn+F4Ct9W2IbSBUie3A9qUVoAv4Es7XA+O2K+3CNJO6R5RJp2qOpX4LRp1AReTBjEhN42/JjIT9r1XoJrC+i+LTNp5A4vWcoxWqRVmNOFXWl7FMmZVVJalbZtkeNSan5Mw8Ft5CkhwDUCfDMiMDr4VofA7BLYPb1sGiKdKyBUOy1vCLBnBhhLqZBZw/mGYjpjE09YlTNWQcY8E5sNn8V5xPppn+alB5mcIwVmNCFyn7NrPaTXOSESVuIgoj7cQ+3vk48GrF2Tc7fk2E544cSc2hnNlo0cmJ4G6/e3YP1V4H7H7v+tgPu0qPnBy5K/eFbwcKr0xPe74xV3dj6iH/yIrF6xNiomjkfHv8e96Ft8xX2HZdZo6XsB6386E/n315vsGds0cHSYl/02C3Am7HR5HjDI1op4oUhmOdU8x95kdM22aONgAPvDinu9mrtRjWdv/yW533QimiikFhS5E1CHUmVjvLoWXb0uXfIKP79OnggFSJuy1jEh1mV27bsdPLqM6bJDh51tf6yZlxeFTlJcdhW8X2UZJ2cnzM5PiBczJqrkUwMe2haF43DY6fLN0S7fHO7yjeGYoftKCU6up/N0wfHqhNP1GSerU92XfLI+04VCFy1wAva7u/huoJVYlNWe64WpSA2R/M6Jm1SHHBtyH5aihJ7dZeyN2PfGOpzVgOc/dPj4ezXVNOTe/oD9kRQoBCxOSuqpPK+VGMUW4JH9Nnbwdm06OybDfsOoV2nwviPKOWmGE2eYUqwsz3ULsdV4HcQ3ex5m6Ghw3vRtwt+4yQ/eWfN/z/+cv5x/n4UhSgNSh9ClZx7wdvh13h894LeP3uLbh7cwMovVccH6uGB5XPDRhwv+6qMzHj5fY8bHvGl8yq4xJyZk0wSsjZCN6bOxfdZiv+T4Wp1AlEx0DaMuRmu3jxy7UngifZ0v1RSuvmbQ7Vrs7Drs7Lns7LqMDzx2D3yGOz6W7WoLHq2Jpf9O21eNYiWWRMWShVrrLMUV83LBtBAG/oJZKcUWr7aXWI3J/hKgXgB7AfNluW/bhOaGwJxRNS9QTSJlx4T2bUL7ngbrfWv/0j5jniz46+OP+P7Tj/ng+DGfTZ4x2czJYwdyYbgfMrQO2XHGjOwhPauDWXrM5yWx+JNfaQLUXQD1o5F3CeIPBNjvmgx3I718IV3999WUajg/K5mcl0wnislEMZ3IstLrhP170YSZLftnd9dmtGMz3nUYj229bjRqwe4vO9ck5+V6pjh7lnH6vGByUnB+WjKbKmYzxXxZkWVb0L8S8LYhkKcRpTArbSCFuR2nzcIps+GE8+hcA/xSWD42D9lzb9CxRmSqIi0LsrIkLwXglGdzKXQS/3T5NwREb8F2ozIxarFe2d4PpfjcbnRxsowJWvB0C6D6FUZYYfgKvAorEOsgYS83um/69dZCSKx4ZGwq7HabUM7PwMavfeqnfZJHHrNHJotjGW9bRJGtQfoLwP7+/a5e97Pbtm6B+mUL1l+A+Hp5rihVo/eJnIdtSJFGzdI65dx4yqnxmFMeM2/O9EOiZwTcdO9yy73Lbf8+d/y7hE2k1duqWFFtKqqNQoltXCxqSe3zuvwbnmPovi5SsK8C6BfAeKuIcLEsY0itznJRgyp948p75RjRCgcX0RZK6f6V9bJOBk7i9Z5kFYu4ZCVKgrFilbaRJmvs9AyvOGNYTxmwIK8cNpVcyyJSIgojonL71J0eTrdD1HfpjTy6Ow69PZ/e2CPs2AS+RRBIGUFJli9ZJXM2mxmL9TmT+YTz6Rnnk4m+DwZ+wBt37/PW/Td5cO9N3rh7T9uZ/E2atsiLN9TrFfV6TRVvsKIO9sEhZu+XP6PIeSbn0Wol57MUP+U6T2cF81nBYlGyWpVMJjE/+uFHfPzZf3UNzl+3n9+uPeev23W7btftul2363bdrtvPAPU/fkL1w0evA/UX0vdXgPqLtlkmxKuEIivI021kBYXOpV6+fE2vL9v8BevK/HVJuIu2czjkrffv8eb7d3nw/l2iXvilgfpv+nfw7ZDH9ZS0KdkzehhZn0/XJceswS1JzFwzrT2zxnHWlNYpjTXXAzSnGvLAfINfs97ggT3WpODVWmmw/mzesus3cUOqwXqT1VrmuCvMwwXu/XO8Uaolcr2ki7vq4617uG6OsXdO1Z/ogf2w2eHIPuKOv6/90ASgP01SXiYJ52kqhrREXqkljrFKzTbsO12CTY/4VCZZz9lYxxR9+dwiHx/ixUeo+RjWHo5balk2ZCJEJl/iDcFna8InojtfsboNixsNm5GobHuYG09LaQcoPFPhWaLNfMGsFF9Zk6K2UML+d01dJd8MTBhbNCNby3lWpr0FnS8mmLdA9HZJeEFatM8IGRAw0DnEx9ETzgkZa9oJ2w3b+Fw/JiWh9YS82lwEnGqPJQ+HQ9m++Yj9TZ+DeZ/+1KNZVdRLRbUsqVdK94XZf7WJXKvZtzHFJ7rvXOnbmF2bSiQk1Zp8vSJfr8mykoUyWOAwry1mDZwbMDFbHz+Z7PDLmvGmYidWjDYl/Y2iGxeEibD2Gg1oGqsaY1HiJBsN/gpbMosc1uOIxbjLZDjg3BuTWlEL8Mvf76+phnPq4YJ6uKIZLEk6GRss4jwiFlnrWhhZBncDi6+HIe+GwmANCWS7N+L7HmKnHpvE5PFyzdPVmmfrDceblCZtsDOT3cJnnAX05i7BQvSFLX3sr7JacMSWNK+B7JYBrBnBGphqgZAtf3nLjt6yhb/YOvXVdUlj5luUfPtG/btbGXnNXrRqsERxoqaxqq2kZ/uayPxr5qIl4IuwHi0cybaNa4vXcis3LHv/QtVQ96/kC1EFDfRfrBfW9Pa1Cza9MOsv3ifrLsEWkdyXyUenIGJFJz+nt3rGMHnJMD/D6dhYBxHWXoC162PtuRgDYU2XeoJMfDRVZaOqi/wqqkYgf0czyB1highb02qz7dTYVo0lTCRbJhXr7SRdyx7XE3dbtv92dm/b15xc/dlXjWJZlUxLxYvU5iz2mG66rOM+RSHSoY5WBpAaCisX5Q4pCpIKjgL8FU4U40UxUZTSixJG3ZyRVzGybQaGzdB08AWZj2uqlaJZl9TLYhsZ9SJtgZOkuPK5TQ3yWuMB1s4Aa3eIvdPHuhJi1fJLJ9lEHaFUbRSljqoodK4lypKm3GZVUVeq/R2tqCDM54ZGKlA8i8YWlqupVRaqXOmo5bzWqgDQ+C6qH9GMOtS7PeooaK+hMiVZt5LWonRQav9uKWZqJbLb433LXJJ+3eDOFM7TGutlAyfQnBmoqaUnw6XZYYU9rjH3GzgyqG8a1DccysgmTzImZ6ecTc6ZnM2Zn2+Il4og79Grxuw4NwjNsZYu9w2XKq0x8wLyTP/uPNmwEE/ioqCQQiqjwY1Kwt2M7n7Gzlix79bsyb2qtyK3My3DG9spiZO2rHAXlNtoYKvSSigyYS+TyiIh26qTtIoGrbKBhHBKHfFQbmztmSuWKSL+YMqlfuVz+n/7JuWkw9F/8QHWjYZlsss83WNVjqgrSwMQ3XJFv9gwdjb0uxXhrkuwK16xPpYU64hFhSXSr2IFA7UpqhMGaSU2Nzbr1GKT2Gw2NnEi4ZBq2V3nNSjVdEvcKMXRkWBHCVYUY0UbjM4KV7xaqx5B1cWvunhKcgenirQCiATKQWpNhJUn7g3SF8ZeeZG3jL32PdtQwjjf3r+unMoSWihCiovyEjMrMNMSI5Vc6HNLMy/XFckaqrkwNWWiXmmPb7Mzoes+Y2x+Rr963l5fpLZFA9lyXRWmnEfd8ShDhySwmHs1U1cxcUvNvM8CWxegdPtjBv0DdqM9DbpeAPe77vBLKSnM4oq/fF7yvWcF55uKnmfwtYNUA/WG/UPyYqIVI+a2KDjd4Gb4Pu8G3yQtLD5ZJPrc0udbvT3PdJblmlJUGeqSuC5IhU1Xixx2SaazItNKR0qD3JKTrC1qy1Wl2bOlyPU0cNtP+VqU8ZWO4oFvsFtadLIWQJWdkQYWsWyTyCULXfLIFyQRx7Rx5Eg3LrJ1uRwYHjfMfSKzfQ6XsseYuQbrW9B+ctmXYhb5HF5pM8iG9LM+nTwkTH383MLJoMmyVgv4c02uOeu65qxpeFopnleKpajThB1uDHZ4Y2eft8YHhP7PV4ZLipST9Sknk+fMn3xE/PwJVZ5SFhlVKZYNBUrnXF9bKyXX2UIX4Mm9UlQN2vwqpDhO3+YrIT+aWLmFXci1wKAIbJ4cdXl+u8/ZQY8mizBW/jY8zKWDkTkY2k/ApvGlkMmi0b4GLsHIpTMKGTkWo1oCOoUiLErcrOCPhs/4d85PeKw+JrcSXRDTR8D4b/Dbg+/wa859DuIh8alidVJqMH71MudsmfMsWfMijTlVKTv2CV91HvK+95gDJ6bT9+nf2KVJM+o4oUkTmmpr9XIhwyzFeF4AUtzgBhD4NBKhR9MJ2uKzjkvtNtSaDVpTG68/y/68JkVApSFqO02bv7BfX+nLNVFqNw2UWACZNb4d4Lkhnu1rtuuqapUSpsWcebl8zbYmsgKGbkDPho5V0LFSeo7NjtPjRvAmN4KvMHAfYCxr8h/+lbYCcm7cIh8PeVws+cHT5/z4xVM+PX/K88VzkrItAvEcm6PuIe8Ob3I/vMGRu4NfdCg3DstFzmJeMF+ULJYls2WlJf3b1t5nolCY0U4L3o98Rjs+w3HUgvcSI49+z9Vg7C9r8kywasT8omYk483PPYNoZaFNzfS8fAXaC4B/1gL5s3lruaU/nYGWVx/v2ozHDjvjFrwfDi3ipGYmvz9t/4YA8NKXojpp8hwiamxRBCLYYEuBhzwfGxVKrldFxSZ+vaBBgFm5R3ihoe3VakcK5UrW9YpZPmNRLMiqRAPpYeRre7teN6LnhURSGOUEdO2AvniFO5HOsuyIesi2+Fmewz3PxN8CsoEA6r51GVe3casAk5MjFg0ZeZlQFilFmaDKdHv9yPQzmtY3l2e1qiCWgh8xJTEb0txgeuwzfxkxfRFw/qIt4pVr6819nwd3Q964E/DmvZAbRz6mRtuvqipt6eFXnkfm5ZqPl0/5aPmQDxcP+WTxiKySeQSTu92bvD184zJudg7/QVQE/65NjsMkqZjNc2bTnNlMwOW2P5VlWT8rqPKcfjljWE7YqSYcWAvGzZSoSbQCjOPZWPuHeEdHOJSYmxX1bEa1WOkC0UrbO4nNikGpIooypDI7VEYXZXawh0OcvRHewQ7BrTHBUZfowCPY97QdgC42kAK9LOXhk8d8+uhTPn74KZ8+fkicxPrZ+MbBIW/fusuD/QPu7YwZOg5NvKFarajl86xXVOt1C8Zv1tSbzc8ddRqej71/gL13gL1/qPvOdlkKuv+2mOs1OH/dfm67Buev23W7btftul2363bdrtuXB+rBfOPwFwL1f9cmkwkC2hdXQP352ZJPf/SYj3/wmLPnEz3IPbq/z1vfuMeDb9zT0vqu0HS/AKgX6ftH5bkG6r/m3eKOt0tj2VrCr0OAXwzJc4fjImdaZ6zNTHv2FZq5W2FbGZYzxbSW2v/XrHvcN+5poP5dZ1czDutaPNYqlquS03nBy9OS9bpG5j3F4y7JIMmhMBRlEGP2M7x+Sd+3iVwbxytwBnPMzlp78AbxLoP8iF1jTLdj4Qc1iSU+3QnTLNOTlx2/xBU5as0wFw52i9o0Gwu1LCnUisIVz8tNO/s23cV+dr8tDPBrzFGO3a00AdevatyTDO/DNfZJpifipgcGzw9humeyGlnU4h8o7PXCwhPZ9k2FkyrcqsQVFqGjWqBUNr72URWBaQtlW1p2u44sjJ6DuetQdUMtZV4YNcsmYUlKtgXSpblYGqQXsL6/zRfLPQLsLbvm8phpKg3QXwD5khNS+nQ4MsaM6H7piZE6qy6B+jZeAfeSq0VJvX6dmSOAkgD2IuVHx0CFJYWfUXgpKiqha+CMOqRBh03tMysNTrOcszznVJUUMoFWNxh1xaCs6GclN2eKW6uKwUYKL1q/TM4VnUlBuImxZSLbbLT6QTwOWe91mO0POBuNWLFDtRHH7e1PmNEM11QC1vc2zPyUTepR5T5OZTG0SgaWomfWmuXcegFYmMrDVh6W8jGVq9npqXhA5iZ5YWqGrymAV2Pq80A84v3GwpG/UTXkXkEW5BRRTi7bxCtJHUVmKV0kUzbVVs670QB+JFLJpoGU3YRyrDUGXl3r487RzHQpXGgo/JgijGmEVSN+BrYA0jahFWr/zNAM8eueBrrcuoOjIv1dVG3KvB1FaVBIVqJWbFBkkMv5mWk78xbEEiL1NnTf/oJ1F3HxWquMrpcvXtPnhNgYyiahYZU2TJKGeVKzyGtimbQSlYKywhfWcpzjirrFpsDRNScOlbCuPRdDbEJcG8NrJVhb+WyZuRdJd/FsrbX8/WtymLp93p5BZFa3wL0wiAVkExUDu8IW30WRxJdDQJQRRM1D7EYbk0UVsqp8XRwgNiCOavCKGl9VDEnYMZb07SU4KypnQWkvWFtrlmbFUsB9KhZGxcKUaCf7tSSv+Co3BgerhvvzhjfnDffmDbtizdF1MOTc6liYHSmIcTHEa7Yj65x2O7z6llvZ+dYiwRC7BMuhMW1qK0A5URt2QOmEVFZAadpapUQAOmGTS87rV+B42Yj1hUTTvm+7fPG67gtTLM0p0wIlahWl2I/ougYatwXsBcUUVrGWM/+ZKbULP9jW11TkrF2xP7koILGsluG/Bc1e/fYr+eKL7y+gzujcZHxi0T+16JzZuFMbayNcyFYKwu6VlKOSdEex3FUUu7ku2hBlBzkpDFVilyKVX+CqBr+2CHGITE9n+TFrW18rVGGyWjUs18LCrlisal2ctl6bGiiW4z8IGsYHOePDgt3DkuFY0dh1a70gIIH8SAGKTKoXUgAgQHGm1QiMRYITKzyx2ciFVCey7YaWzHa9AD+ICHo9rEEXc9Sl6fT57p/v8fKZz3f+y4B3/udDTMfSgOvxvObZtObxc8XJpNIFB35cMTrP2d0odgvF6JZLcN8nuO/h33I1UH9hn9LWqlx42V9UB7UFE7JxZd/EqcEybljFsJK8afN6U5Nt2gIQt6lwEYbiBZDfWmG86rdZK6tIEZO+rrSyviKlrLOwuWWdvva0DDvxFbYvmHz2q9/XIg8XYg+St4fgxTq9vt5KJ8cFdVJQxyV1nNOci1pDpWVdi3UDawHjGkq3Ie1X5N2CspNShxsMf4HLhqBICPOEsEyIijbCIsVTbRGdIee9/u41lQWxZ5MGDmlgk4U2TTdk542bvPf+b/Hene/giVLIl/Cn/6sXhb6eHvYsvnlUc2v0CavmBxTZC0qRVzZMan+frneH1LJZGrCm0KztpMn0s0O6zZc+759rUqgSGj6hEegcbbMsC3Au+Xyh+POPNvzkZc7TVUMqxSNGzdAruL+j+NaB4sGgoV9WRImim2zvbTTkdsM0qJgESsdpWDAL2iKRq23XHHLHOuKOdcA9NeZI9XDykiZLt5GgshUqX1FVhWbcSwj7NfMVhS/30RrDD7H9Hp43wvd36TAiygOsrKLJM5q8/XtZErPcLMnSmI0q9bVPmuu4eGHEoNNnGPW0yoeaz1GzKer8HHV2SjUV5apXJr4a3BDbENt+vS8axLZNY5n6+1amoS2DRTVY7kWSRaln02T6mXFVJ6zImKQpZ5sSf57w9lnMUIp8LYNPxx4fHrl8dNNi0xUjbFHekYoWE0PZOszSavuCNl8clZZYSEiI0lV1CXbLidJJ+txL3+V99S1+Lf867lnI+qRE/f/Z+5NYW7IsPRP7rO9Of/vmdf6eN+ER7hHhEZlkkixmFovMAicCJEADSWNpoJFQgAYaCNBEA40KggaaCBKEpIqcCVQJqEKKVawki1UsZmZ03vvrm9vf0x/rzbYJa9u59z2P8Mj0JDOTSfBujxV7m5377j3Hjtm2betf//+nr4HwMlIc2UteFlNOljFpUXBoXfLXwqd82LxihADyIeH9BwTf+xD33e9iRmF777qa55NEA0gaTFqtqGZz8ss55XhBOZ1RzdcgkwBeIodeCtNVjlmowa7K7NL4feh1Mfo9+r9xl52/f6ctYqwFvKx00Y0OJUWhUtHT2ves9bpbeyJR/9E2RUKhrbUykKgEyb6rc1Zbc9U5qco0kHrFoBeg3nNCHZljMDNzLo1E246NVcy4iblUSy7rOUu1QpETLRLuP41571nJwaWsT3wcWdNVDr7h4Yd9gp197M0t7I0RVr9P4vpMlivSeEldpOR1Tt3k2i5E5s5SNL0cFz8Mibo9Op0R/d4WnrvBLDGZXibMxinTy5TpNNMWALN5xXQl97TWwugKwJfo9exWOn/k0x96uBvQbFbkg4R0MGfZnTAOLjSYrK8RbHasDXbNLXatTfbMTb29ZY5+pRBJ5jORRhc/bQHaLy5KLs4LDdjLeLIG4FdxWxQoALvYRHh+o6W7pQhVPreohuVSGCjFLG+skURFYNB3r4sQegNZX+WobkreW5L1Fiw6E6bhJdkbRc9S7Lxh9hmZfTbMAU1a8/L8iK/OHnE0P8E1HT7cfJ/f2vsRf333h4z84dc+k6yTZN6Iq3LdVxTC0q9kvVFglCVmJSH7Ssy6xKqqdZRY9VV/VQq7voet/0Zlmto2rLBsCtPSz5aiYSZl3jJr1OSopqCWUIWWMJ+OTc5PXE5OPc5OPS7HblvM5MCt7ZrbOzV3t2sOdyoiX3Th5Niu5+k6p1hbd0kxVWD7+G5I5HWJvI5Wo2hBfFGgM1nlBqvUYJnBPFHM05pJXDFOKiarNRs9rlmKUlEqEvQWruXqwmFb1PKstQ2KhCUFDq3tiWbXX28bOOvxVd+uBcQm5WoNYZLltQbep5Ncs7yz7A2bHxSHUcKhN2fXnDKqL+llFwTZ9DWTf2cbd/8Q5+AQW/r9Q+ytbT2H/8r9uaqoF3Pq2RQ1n1FLzCZUkxn5ySXlhYyn1LFYigmIrzSYX1XuNXgvvdkb6OvdGYTYZopNginqGyqmiKdkywvK1Yw8jymqnMYQpTZT24p6gyHR1jb93X3c4RCz08Xq9jCv4mo76mgQvzw7pTo9oTo/pTo7oTo71Qz7qyNkjTZa4F4D9nstgP8nsO1vwPmb9q3aDTh/027aTbtpN+2m3bSbdtO+NVD/yYsWqH90/Bqo//Cujr8IoP6b2uxywcOfP+Phz5/y8GdPWUxWWur97ncOW7D++3c5fHtfP8D+SUD9fXeHkdvHsV08w2HbECHQPmblMysaXhQJT8slC0Nk1nMtRa/MEteK8dwZtp1hq4C75h1+aN/le/YOXfO15Kc8AAuz/uVZyflYmAnC1BBWFeSlgPkghdtJoRAyqMjkBb2KsFfi9RO8bkoYKs2q6xQbuGUPzzEJOw10cjI3IzVzLXsvAIhl1jhrwM0yxIdYkBH5mzHFMqaqF9TetJWtW3WxP3+Af7GjvRvtrQJ7r8DuiBdyQ7BsCF7l+F/GONNSM1gq0yGzXNIoIO/61KOQ4FZI/62A/l0Xxinzx3Omr+YslzGJkVJ6JY1Xa8a+F4pEect8NkWqX3u3i6S4hS0em4GJKV51kSFW4aQWLGzFzCiZW6WWR5YETGUaRIZP33wN2L8J5Ee4f+EMBS35t1oD9ss3gPxFeQ3i60haP2Hxs1VKEr0VSn9/YA883FGEOwrJhgGXXbjwai7smtOq4GWa6QIVO1fcWinuTRV3E9htbFbK5kwkF49TvNOY3nhBZ7nALTMN+IhcujCKm50R+f4G8Z1dpsMd5iubxbT1SUybnHkjCW4RjFY6ES5gsnjp9j2TvhRwOBW1XaDEq1JHRmVnlE7bV2bNSjUs6oa5aphL3luSIsrCKW2CyiYoLbzSwSscXGG4lS524WKJFYFYEDiKzKnJ7HU4dQvqC9PSWds56HNcwO+GjmXQwaVT+3SqgE4ZEBYhfi5KDw526mBJr+Wkv94kUSvsIddf92symue93ifHQPJ/67z0da+j+vr2r4yvXtdSkL/6um6inG6/lnAXSc9CVBFMhUBC4hcfX6FndUVUFfSyJf3ZmN75CcPlmKiKcTsO/sGQ4NYG3u0NvDs72NtDmrKmSsrW8/wqspoqqykzpcdphi4SkERhXBrEyiJpTFLT1qBVaVqvE5+NgVUq7KIhSFMGiymj5SXb82N6+ZSonBFUizW//utN+7ZLgnLt3x5HHhf9gIuez1nP56Tn8qrncha5WiI7tw1Sq6EwmhakRpQ7HAKRXRfRZm2Oub4Gf+nvfS1NdQVgv/4QbQGTWWFYUkQkBQgCXa6/EJ0gF1a2qQuDxJu9DQu3NnEFDK4VTt1osFrCqRRupXSBgpC+JWzPxhlGOBsd7K0u9jDEtWwthy3ywloiW8aS4NOJaQE4SszyKkFdYWomacvSfy0RYWD7AU4Y4USR7mVbM7q+ZStixepZwfJJxupFyepVRXzWaGsLAUuDrYpgr8LdLzF2SnIHEhTTKuciS7gshQkpntqVpLkp5BvQhrA+juUTWDLzhhi5Q5YYlDE0MiFcKKzLCmtS0kykCKfGdCv8vRXRwYLRTsrGVknPtOkol6D+1QRvblasjIJYQnvjZhqgE3/cvMmpJYGvz9E2nBLsz36E8fxd3Ftf0H//c6KgSxREdKM+nU4fNxqSurvMjU0u8w6XSwuVKTppzeg8Z+OyYDOR4rNvSn+2MrxyH9NyvHrchkjz6u21jYdsC1NRq3us62Zq0a5ZSyCshStaUt5aevaKpKeLvtZA/NXPtmoCb/avX/+VZlmYvoMROBi+g+mLb/i6l/0SUujzJ9wv9XW1yOB8CZcrqqMls89jLl7WLOYWy7lFnLqUhkUthXg9k2LXJNkzWG3UzIc1s0GNQG+iimQkGW6S46YSKUGR4kvkMV6REOQxYbZktLrANAqKnoH97g5773/Eu+//Nt3bD37tef+mP/0npwLCwNtbNj86tNkbPeM4/wlx+gyzjq8lvDFE/cZDWSGNFWJZXRy7h2sP8O0hkdl5A3z3teT3rztOyZMLTv+bY5o8x+/X+P0KN6p4OVnxi6dTnlwsORN2dFnruWMLi7s9j3e3fQ63bWyVtazpTCKlKXItvavnM8uiNA0ysX3wLCopeHRtTNeGMKCJfDw/wnYDHF/O9SHdYBPLjzBkrvBD3Ys/SGEkv8S0b9n2UtZ41aQMR1bEHYZf6wPVw8wrTk9e8OLLz5k/e4Q6PqI7mdCZz9pCT63aEeKONrBGQywBUnd3MXf3cHpDLP1e2vdj6Bvwn65u8m1bmla8+tkTLv/lH1F++jPM0+capLywdngR3Ge2+S69t26zd8tja89ic8+gO1KsVimTo5TZUcb8tGR1UhBfKPJY9AdqDTrvFQdsWEP9XqMNm+6eq8PoVjycH/HF8TlPXiYspgpHNXxvcMmP3efcK1/RI8PrDfC/932CH/813O99wDQYc2Y84YxHLJnoS7gVlLfWdyPrG+Jqv4nVWJirEmue6+AypTnOUKcZzWUK4xjmMSxjaimsCULC33iX7b//A6Lv/gC/v6t/z5+1ybkuwPOiXrKoV2RV3Nr5VJW2MrhMLhmnExbZjDSP9f0zbGy2zS4bppxJopLl4ykp7lSoyYz06ROSZ4+pLseUFowPOry4E/Do0OLYiilWKzamFRvTmr1Zw8EMRkspAnDxTA9vY4vu/l28g9uYu7cYdw75vAj54+MzPj874iJ+xap+RWkcY9kpgWvQDTzubezR8UIcy8G1HBzLxbNb9YqO5RI1sqa0KOcG8bJitaiIpeBmCcnKYBGLpZlFkuqVd2vrISoitqWl8v3AJhUrJlHhUCVJU2qgWotoNQZ247RKMMrescSSAAEAAElEQVTFVrYGwV3DWetK/fomBeEim38lqy6s/74G3V36g7bXCgCy3XdwejV5b8HMnXLeTDirLzlTEy7VVH+fYvUVVj6DckgvG+AnXfy0y6Dp0JcidrFMMaXMoaKRaGTc2kwlxYpxcsQkOSPNZ3p9E1gdOs4A3+q156z8DQmZG9a9FN1+4zVsGCSGSSLqIqasS00yY93LtmHq4vplnTJrlszLJWm91ApmRbnQvRThCJz+puXCdVuvx7Ty+/rerBW2RHZ/0se4GGCeb8L5CCP19dUWDiqG+znb+4qDA4PtToceIzzVpUzFVipntihZririlfiqN6RrNb1SahzW69Ariyx5lgl8ReQ3hL6iu+6jQBGJx46oU+iaGANVGyhl0uixqfeVUhgpzxmNodWVZE0hQhByD9T7ZKzPk7Wily7Kawv1TLG+6tsMOga7VsmBmbBXzdhIxkSLMY6sTUUaXyTeNfh+gLN/qwXj9/Yx5UHpz7mpTJSxBLyfomYzyssx2dGY/LQF8OvJFLWc63unalxqAkoVUtU+dRNSGyHKaPsSn7iwWGUGy1KxKleUZkFt10SDgMFWn83dIbsH2wy2ejiRjR1a2JFFtOfTuxtgeV8vmhFwXoP2Gqw/oTpdjy8vdHH0Ndt+twXrNctexx6nRcnte2/pn7kB52/atwLn/8E/+AccHBzo8Q04f9Nu2l+9lmUZf/AHf6DHv/3bv43v//nfGG/aTbtpfz7t5nq9af9+AfXCqG+w3jnA+tEDzO/d0ezOv5T30TScv7zUjHoB6x99/Jw8yfFCjwcf3uHtD+/xzg/usn1r8zr598tAvTytenPFpjPgzv4tItunZ/gcWgN2RI6w8vTD1aNsxcNyzgUxCyOlNiotNe9bGa4l/rKK2+YB33du86G9w5YV/cp7zXLFMq6YLCrGi1JL4yepIq8UeV2TVDWrvGaVNKymNslSPLDlgV5856AfOvScQCePBOi2/RqvW3PrLuweNJqNKNKqrado6yvaMpzkYb+iEe9ua0KTi0/kjNoSLXIf54sHeE/3dZLI3CyxbqfY2wWmSCCWoqLf4CQN7kJhnxWYFwWmAC9LAaolue1jDEO82xGd7w/ofNTHlAr4kwR1JBGzepEwSQvmfkEcKfKophK5YJH6VlJUUGM7NY5T47oVnl9jOa0Ut2YHakJs608oSFhlGeQmiO2yBvSEOSGyupaFa/q4lqflPwvXoxbJ8msx9av/X8tEv9FLa3/uzX3tqMVSXu8REG/P6LPHANf45vNdJPLfBO9FPr+YxOSTmHIm/qY5rKSGQjxCxSPYxjItrI4LWw4Xt2xe7MDzbs1T8XwWy4e8Yk/A+mXDW5nB7SikGnR4aVocHRWoL2f0Xs0ZXCzozRZ4Waw9JTX7shNibXdhf4B9Z4DzYIPm7YiHG+f8D85DfpHPmGlGfUjXCPmBv8WPwk1+EG7QFVbbG00SXxmp/i/TOgUpSRPzslhwXuSsKliWDctKMS9rFlXNUvSWBWuQrFENkcjtJgHDLKRfhPRr+bsRXZHZN4Sj67KqGi6LkkmVM61KZipjWs01C9/qO+RORSqKFmuG+jo3SmjZDFyHoesw8hw2fIeh5zBw1mG3fVfOjb8Euck1wf0ajPuTmiTYpnHD+UJxsWi4WPe5eHgWJX6ZM8rnDGYX9M9eMTh5RTdfXiv+56ZLbAU6Vk5I7EofEXttlFIVoJsAxQ2dPCaqMjoqp0tJ1yrpOoquB1FkYvUCjG6IEYrfvY1hC9NRAHf7GniXK0cSh6sCTkrFSVlxWpac1gVnquTcKIlFO2A9HXVyi43YYRTbbCYOg8zScsXymjDBcioyOccM4TxJQri1SfBFpaEW33pLKzW0V2cLMK/dNK+lvCUTKvO+xvSFLZmZYmfagukoQifHd1MCP8YPlzidOVZ3rqXHW3n1tVcnAoQHmGaIYUWYTgfD6WJ4HUyvhxEEsNuDfvDnBjLpJOQspp4k1GnaerCLRGspWtStBLwThi1gvw7L/7OBXHJPSs8Vs0cVky8rZl9VlKvW17j3ls3wnTa6t4W51f7evCr57OQln5w844vTVzyenHEWL6ksAX0jOoNNwu4Q0+toe5T5QjycTVw3pM4NzCMD98gieGXhnpjYRcsI9/dNevcttt41ufUubHYgqGuCUhFIEURZYxS1nv/ET9rIa22dIOeKRH0VqqYWGfa65uXnPZ79ZJvBwZzbv/mM0iqphFW4Vu24cqyXKBuH2NwkNbdIzC0KOvrM8mnoUtGjZtAohij61PSNmo5R4azZ8zq0ZMZaRuMqDFE9aMdSkNaejFL8YiLq3SpXbYhiS97ocSPbxVXf0EjWXX/nvME8XzP39bmvMWYM19CJd8MzqLyKYMMiGJg4Xbl3qtayIROp8zdSunJ+ew6mBvCvwPt2/Caw/8uAeCPZ/8lKe9mr0wXJo5jVk5TlmWK1sFktbRKp8BDzXNcm3HPo3A8JHrjYt0vUrYRsZ8lELZnmMdMiZZ6LTUJNEQeMH29iPFkxGD/jcPyUg+lzXRgZ9Gyit9/l8L3fZPju93Hv3MOwnT/Vn96xDD7cc/jxLZcHm8IUXlHXS6pqQV0tqep521cCUL9mQZtWiG11sewettXDsrtYRkRzEaNOLlh+fsr5HyZcfOGymvXeOECvFRZcL8ULUtwwxQsTcjNmoRbMm4UuNBFgxaotIrH46Nj0RwZ2X9Y2OaWwADWTtMZXptgvo0Q9SSqsMvm3reS4MEVTSzHrmsw6Jsuuw7JrU3RD6l4Ho9fH6m/gCAPRcrFFOt9owd66sikrlzirOTl/ge2v2DnwqOyUslrhnc/onsUMzlIG5zmj84Iglpt4u96ab0Scb4S8Gvo86Vs871nYnstm47Jneuzhsd14DGubXmUxqG2ixr4ukDANi9K1qFxRifEwZB7zQqwgwgt6OiIn0nLogen9mea4erkg+/QXjP/lHxN/8jH5UpSaOjy17vJ5dZtT7xamY7O3F3DndodbtyNu34q4fTuk13PJRQ3kRa494/2uQXdY6HPnJ58d8ZNPLnj0uODisr2etkcl729P+MA94VZ8jp/lWL0BwUe/oaN5+5BzS7yoH3PWPGFSLjmLUz4/S3gxi9dsWbO1NRD1FFFOWauo6LEUd8n6VjNkZdvQY7GTkLGc4wI6CoNWxFo0W1amJVVh/csc4x+VBF+O6VrnONs59Xc8iu/uUH3ngOatPUw7QDUmdWNSasWcRqvIpE2tLR5iJdLmOQuVaS7ytzr+StSBMlZFyjJPdS/3kM1xwfcfp3zwKGN3XGgFhcl724y/s8vi/gaWgOW1oUMrbNg5cTMnaxKSaklSJCzjDOsspXtZsT2GrYniYGrSLWx8S4pVOvgHd+jdehtr8z6n3j5P1C6fXGY8On/JojwiVadYVoFhSvFwhTITKntFYS4pzFgXshRNStnkKK0mIMXPll7zi4rGphmyaUaM6BDlHZw0wExDyD1U6mOUAvq3jOU2ZK2/LrpaF1aLHVNli1qRXpjQSOGmY+M7vo7ICYjcDn23o7ctx9ZFzcLkfvbkU8Th7Uc/+J7+vctqwaKas6qWxPWKpIrJqlQrIsjaRyKoXLzKwSotbQsjzx8CAOvbglgh6GjVTQTY1ct11aqwCPCbNwZFY1IIINxokzR9zsh9TsDwXPQs1JS0mVJSYZsdus4eQ/eQvreJJyoGloOyXPLGoWhcClxSJSpGrrZsWZULZuWEWXnJvJIYs6guWakxsZroe/iV+ouN2HJt6PCbdc8Qx3TY6Dr0ewbdrkEUGYShrickk2KqqiauG1by3F1VzMuCZVmwqgoaS4qRE6okozirKU5BHdlUJ06rRPcab9eFooaokIQKM6oxgwYjbLBD8EKLoCNF9Q49ia7HXg92ooaBXdK3SgIzwTZX0Cza4679sOR5QdYyonRRoyop8haFFUMrFllKirkcXCWFyA52beteCqPl+5T32H6Vpu71dpyjvnyBOj6jmS0g0yWWNLZFMeiSDPvMh0POB5tcbOxR9DexvQBXFCeCiJ4fEhkenhI1NRe7cskzk6UU+iaN7uNMrLMMQg9Cz7iOwDcIXV6Pr/ZLgfK3nM+bK/WON2TlG7F9EqZ9onQhchXXVGlNuVr3sUTF5emY01cXXJ6MtRJjssiwKhsPn67bIzQjAt/HlmcaUW+Twqt7Ib17Ab17EcP7EcG2h2M7X3u/ogwgAL1m2b/Bthcgv0li/TN5XvCP/+AP+E8evroB52/atwPnf+/3fu/6RLkB52/aTfur19I05fd///f1+Hd/93e1TMtNu2k37a9mu7leb9q/l9L3f/wI9excJ3qtH7yF9eMHGHe3/1J91kQS/9XDY776mbDqn/Hsi1fUVU1v1NHy9y2z/h79je41UP/fzr/gP3/433LiJwyGQ3a9AXvuiJ4dEVgejmGzZ/U0WH9g9Kgbi6Ms49NszpfljOeqTbAKWGkbNa5V4Jo1e3aHHwe3eM/e1Ex97UOtHUKlb663y1LYOZDEDckC8hVUuXATBESoycyC1EyJy4okgWRmU0871LMIo3ZRlUVdGPqBeGNgcu/AYX/bpt+Hft+g02vwOpKVUdc+qTqqmkStWDXHZKtLlDnGmvu4Tw5wH9/CXPmobgNbGWylmFsZ5rBo+TsiZ56DUTQYWYMhXuSLGksiqbEyYQ8aWD0Td9/GuudSH5jab7tepNTzFLXKMZYK/9LDmwY044hk7jOvTeYKZo3J0jRIpeBJiaypwvZqbLfCcSvCbkHYKwg7FUFU4kUljte+1so7ypFuE0qVbZN4no7U94g9h0LkU9enppawXSdZrgR3rx56r6Xh32DrSi8y/FcJym26HBhD9g05R4aayf9tznuRuE6zJclsRno516C9yAZbsY07dzEvLYyJpMBbDeXZvs2r2yYvthqeh6V2lZVkxShW3IvhrdLkXq9DOOpy3A941hicP02xPh2z8WLG6HTOYDInWK2wRJZUYwgWyg1RfoeqG7DccDjbNjjZtFn6NqkkAn2LnW7IvUGXB/0eg64ANwZWaGIFBqZGqP70JpLgkyprWbhVykWZ6vF5GnORxZwXqS4oEeBH0g5yro0kAeoEbHkh237E0PF48YtP6NYG/5O/+x/TCaPWH7eqmJUlMwHwy5L5m+N1L5EIpf2NJgBc37Hpr8H6yGrB+lbB+nUv2ORVwYZmlfzS62ssWBf7iB+4JMSUsMlEqWJNXZH9kRQGhB79yGMUBvRcB197bH/zMRSZcrKSJilZzgvOpzUXy4aLVcNlarIsDZ28s/OcMEuIDZdqrbndss8VXUPRtRt6HnQCm25o0QkdOpFNELnguy1YqBOBknBa99pG4HUv4GGdNqzSktMy56zOOVc5F0bBhV1w6RUkkv1dt05psVm6bCuXbXy2TZdtx2PX9YgCR587OkID0xeG/bp4wWoBdc0Ktgwtff4sG/NVcsoXySmfx8eaNaWMhjvegPf9bd5zN3nf3mKr8dfG261VwHWYBkpAoNymSG2K2KBYmZQrg2IBpWByV2xmq8Hp1zj9Erub4XRirGCBHc4wnTFUkkh9nRYzLBfD7WC4IYbTwdR9hOEKkN/2eluA269d/41koWnmIuFe0MzzdjwvYJl/sx1maKNCsQppqNya0iqo7JLGF7lo+2tgvbDsTefbK4nI+4mPFdOvKh2zhxV11mD5BoMHFsN3HQ3WR/tfP1+TPOXx0VO+fPWYR0dP+eroCdPljErVmskaRD3uPnhXg/a238G0elR0ySuf7MIhfQnFK2iOW9l0+V7VsKG63dDcVjT3FNYWdLSqh60LagTI7BkWO47LLcfjwPXYtiVR3Z6vLWVM8eJnJf/iH5QM9uE/+F8YiDZ+URbkRU4RJ+RJTJVllHmuZfV11DVp7TCly8QwmZk2MR654VMQrmf99hq36gy3XBAUS3p5wjBL2S4K9irFdqNwxYbCFYb6Olz3jbGjvzNtVeFebVvrfY5ohuvXSkvUSQqWWc4yTcjSgkyUVbSNQqEB96YQ1QWFXYqyg4FXW0yNjAsj4dJKmVkFi7Ai7tZ0OwEbQcTIC+kpj24tSiQOUeUQlhZBZWErAU1bf3RDVG4ckYS3aDxLg/WEDrp6p+thCbgvhWWGeIAr7EmKNU7gNCV/lJI8LUmnFrGA9rFDUQtob2MEFp3bHp0HId23fLpiKXDLJN2Y89D4gs+qz3jxssPJ0wecnXfpXhxx6/IZdyZfcbh4TN/M6QUdBm+9z0iA+vvv4L51H/OXfNB/2Z9ewLKOgAOOQeSahK4ABzJu9wV2jicKSWaMW1zinD/BPHlGdXKMOrokfWEwH99jPn2LrNjVhQ2DdzK2/5rLzt/ZI9w5pFz2yC5q0vOK5KwkvZC+YnWWk6wKClVSNCWpVXDpZxy7OWeeYho2LDsFWW+GO4i5u2Hw/f0R3z3c5yDaZMPpt+tGVVFVhZYMruYzGi0bPIf5nHo6JZ1eavlzRP68LKm0dYip5/nYD1n4PeZ+l7nXZeF3WAQhMz/ETFbsLWccxksOVhO2V3NsUwqeGtJByGK3Q7Lnk+1bLA5NFputqo2cKyLRHRodvKZDXnpMEpOjVcOJSIPXLpteQN+18e2G0Kjpq5p+XRPViqiqdfiFIigbwtpo76frJoUHc7vWakqZY1Jcg/mulr9xXF8DsgKcSsmWVkFpTG2x4zRt2FLo8+wY74snOA+fwHRJoRzGvVu8dG7zeX7Iy7FHVbaFXv0IDrZMDrdhZ9Dw4jjh8xeKV5di2aQIRiX7bzX8YL/kI2PB5stjmslEM0797/+I4KMfk7zd48x6qgH5i/qIeZnzaqb4+HTJo4sZ86xhrz9ib9DXqlZSTCuS5GVdU4lliu5bmXLdr0MKWitRY9I2Ka9XM1+f0K+2W7C+G9jsTEa881+/xYOvCraiJ2wMH+K5K21bNb4fMXkvYvqdLuWOsMcNXK32It7ctv5+5T/ppXDSIyIgJDR6dBpRV9jUIVB1W/Z3tV5u17r18THVz35O+pM/JD15SWzVPLs/4KdvuTy6E1E7JvveFneDPe4Gu9z199nxRvpZaNUkxEpsqxJWTUqsYrJmTl2PyYsLVtmYOJuT5DHpNMM8zQjOSkYTxdZYsT1rtLy8bTq6mLXa3aLYOiQZ3eHF3RGnYczUvCQx45bVLudN1sOOR9jLEfZqAzfZwI2HGJWA0MIab9njtl3iONJX2HaBY1VYthRCl2BkWrWsUcLmXtGoFU2d0NQZTZVhNDW+YeIZJq6o64iykiHMcwffsvAsKTSwWtsokU83XD2WAg6x9yoFSJYiRL1OqvRzkn52NFoZdnkKEg55pd+p5rzr9ZQU9Oj9pqKWsVHr00WUqsRrSsl78G0ONzraK14XOUpRgV7rXv0nQLVHozzquo1KovIoK09LuX81O+aLxTMerR6T1QUBI3at77LjPsA2HLJ6SabmZExJmZA0Y1Zqqt+tLrgUVR/LY+h2GXodRjoiRkHIhi/hE7qmLqyQEHUk0xDgXnzmfVZJwDwOmMwDPS7KgKqKtFrCqBOx1e2wM3TZG5lsSyGbLaxzxbIqNVAvgP3iOkouk4THry51XmGrH+p/vzvosOmHdGyHjmPi2RWmNabkkqS5JG3GZM2MrFlo3R9t5aOPuUKJ1You1hN7PAelpJcZTI75GrgWZrwoJdQVaZmTlTmJPMvoXgracvKiphQAv0CDzlKMalZi2WGycZbz3pdz7r5Y6vPgdKej2d3h9jbBzgadfpdI1BcM4aM3WKU840uxrU1ZWxSicFabLGqTi9pmhsm0MZljsMIhN0R5xqexA1w30ucEykEkMOrCRhVtL8oQti7Kaotq9cxkoAH64A0gvwXwX4P7r1+DyDd0dPw25/Gv25bxikdPH/NQfOufPubxsyeUaY0Xh/jLiGDZwdcR6eMprbYr0t6KvBuT9xOKfkrdz/Xzr2m19lPm2obKNA0CpejmOfZ4wr/6x/85//BsegPO37RvB87/w3/4D9nd3dXjG3D+pt20v3qtqirOzs70eGdnB/sbfF1u2k27aX812s31etP+fW3qYq5B+vqPHtHMYozNLtaP3sYWoH7Y+Ut/P+JX/+Szl1r+XqTwjx6f6v3bh5ta/l4A+7vfOWARz4mbnNN+wS+Kl/w8e6llv0PT55a7wdDpaU85SYYMzZBDc6DB+i0z0kXuL/OUP04u+Xl5zss6JhEkS7tFgyNe0FeGtTqx0SYcJLPfytm2TIUrAp40qzaJMo8o9QnjgDDx8QuROpSfr6iimCJakhklSVURxw7ZJGQ19UmmPlYc4iY+TmPrJKUjyR/HYNA32RxIEsLRQL6A9wLi93rghhUn8RkvL14xLY4xVwrnaBt70sOaiwu4SDbW1MMV9eYctT2n2YwxugWGcrQnuR27OAsPK/VaP8/CwCzbJKuZKyyRcXZqDBEV6CnqXkVhL2mcQv9uebD1VIhfRXh5hJ8EBIsAf+ZTLRqWk4b5TDFfwKIwmJWSMGj7ZWFRGQaN3SCK5qZb099MGG6vGAwS+v2UXifHF5l9faBtVBVhNMKIG+A4A9yogxc5+D0Tr2PhRiIZ+etlbEUY9lUz5biZcdRMmdBWyoe4Gqi/Auv36Osijz+tKVWTFSuSbEaWr8iKmLooNUDvXDo4Exd7YmOcg5EYrDyDl5sNrw4Nno9qTj1BUhvCUvFWanBPWdwfdNnZ6nMxDHlZG7wSq4XLHOd0xYPpigeTBVtnc5qzBWqqfRY0uFWKIkFgs+z6JF5EYfUprS6V38HxIjq2S9fx9DWhVQ000Gq2QKsngD0YkrRYh3x8zeqUbWF56v3rXvbLPhst2zsRH9kq4SQTFn7MRZ5wUSRMVM7cEN/INiUhf3tkeGzgsWn4bJkeW2bAltWGsP1N7dcoYK+peyGVLKhZNopFU7FoahaqYlHXWrI7qVuGimasSEJMxgKwi1ykyJFKUY0eN2+M22ICwQRfuylfjdscuYQmxKx/9lqxXJ+JIHUwXWXQq9BexN1cEjuKjvRaZQCCwiLILbzMxlcuDT4rw+XSDhgLW960CJSBXxuEqiGoJNmr4bX2nKX1iy5M9Tq06oT4f6vXr1nta6Vs24pK5LnFwsCtGPslsVPTWJLINTRIuml7bLkeu77PXhSwH/nsdQM64hH/LQo3NAtXAPRWZ1T3f5rU9lE24/PlMZ8vT/lsecxxNtOvbXpd3u/u8Z3OHu9397kTjlr56j/t2qsayqminNQUE0UxrinGimJSU07UlXKlBqKcoYHTVzi9HLubYoeSbE9R4tFc5Kg8R5WFBocbAZkkSaqTpS5W7WLK3FjJ9vrEWOuTK8dBOT7KdqklTCm0EF9mEzeocQUAMEvsRqTwS0HFMeQ8FdlrAWw8g3oN2iuJwICuizXq4HQ6rxn2bzCP/sRjIqyyl7Vm1QtYv3hSoUpwugaDt9fM+ndtgs2vg/Xyfi4XE7588ZCPH33OMlmhTGFWrZjHS+bxglXazpVvNt/qMFQP8GZ3aaablBcdqrmUl5gQGBg7JsahgfMWWHcbmlCxcHISq9B2FDKv73o+t/yAwyDgUHo/wH5l8gf/5yVOaPJ3/5Mevd0/25pcS5bXGZfJlIvlmNP5nNNlyuWqYJYpVrlJWjpUVYClIrkw2nNF7uXkeE1K0KR06pR+mbGR5WwnIuWekysp86ooxT9Y7l+GgTIlueto8ELu4D4ukbDV3rDq0L9bsxYrDca04Eq7lrBNAeMsXD/CFbuBwsOWRLnYsVSKVV0yNQpmds60UzAbFEw3chaDkjqsWy/dusYpwCtMgtLU4L2A+G14jCofZ+3TLcolZ07MuZNw7ia6v3QS6jfR1fU1LvYD/tyhc9ahc94lmvaJpj38eV8z8QQAaoIG7y2Lw++N2PnAZfzecx71P+PkZMD54/c5Gg9J04b9ySn3xl9we/kJd1bHbKmGnt2hd+dt3Afv4AlYf/9t7Sf7pj/9o0sBORrivCEWWyE9VtoX1zl7SWfyiv70iP7siHA11nU4ZTliWX2PNLlLnfdoAgfed3A+bPDfS/HDFZ6xwLNSonBKYskx9pliM0ZxKQoixZSFSOpnFt4koDvtsb3YZDgb0p118ScB9bmLXBqrVBELs9NWxCJzbDfaJ/r2rRCza2rrn8JryF1IbUXqNBrsXFiKpShB2OKdLtNLg1dmDPIl/WJKlI8JskvcbEKYzOilCYM4oyf3F7khV5C7PunOHrONHS56Wxx1t3gRjLisbQ3yX0FznmWyFTiMAoN+WNINcoJgRRDOsYNLbH+m2dtyD01K8Vz2idOIeRJyufI5WbgU1dfn5o4jajc+I1tk0GtGRs1QVXRVSVhXhGWBX1U4ogIhc95aMSMXhRVTafUVCePaH1p/868LLK/gjKbBmC0xjs8wX51hjWf69VTWSpu7PAn2eZ4OGY8dxpcu8dLC6pVsv2Pw7gcD/sPdkPeOL6h+/jPq8eU1IO989H1mbzucW084aR5rlZ9F3vDosuGzszmPx5e6RHfUi9jaDNnfGDBwe+xbW63lhdggadi0oWrkym5B1Ha/jNvP3L7SfkZZUwhgX9aybnkN6tfrfVWttL93UYrPd01Vgve0z91/8h4bj7ZwRs8x7/2E/fqIe5di1wXzrsfzgx4vb/c4P+hgBiaesPONRhchiz2JQaXDdRRbw4BBzyVyA0I3YCTqYfYB/WOT4KcnmD99QnM+1pLY/vc/Ivjhj/Hf+65mwcrnOcoveJi+4GH6kofJS17mZ/ob802XW94u2+6QXXeDbWfEriuxwcDu/sp9Z6VEav+IZX3EqjrmJHnOWXbMebIgPV3CSYx1ljO4KNmcKDorpQv3jvZ9nr4V8fKtPnU3xDMdDSLqJYlApfLsphdybeGGLsqUxzh5XZSpWqcRLEOKSsUzvNEFEYFpsul42prnmyST5LvLyoqsLMmKsu2vxlVFWshcVerIyoKkLLTPvIvBXmww8WAutkh6DSCy5SJ7bup1hbxTKeyV4ipdOCVy+1plQcLSY11woYsvWkmnKy2x63uy4/Hh/vv8+Nb3+MHBO3QCFyVWMk32tb4dS5/pfYUoHBgrUiMmMwoSCh7Npnx2Pubh2ZyVqICtm2db9AOXQeAxDHyGvs8o8Bn5Ppt+QFeevRH5fw9XhP8bDwd5Hhf9MpEasDDGKZwtaY7ncDKlSQvM33qA+t4Oykiom5SsWpGXJUXVUJS0vcx3haNB+6L2sCwPz/UJfIco8HURabfj6DyeFDLL/VlA9bIRpbAJuYDuLMibJTmp1ntqmlbp6XqZrxyMOqApQ1TWoUh7ZHGf1WLAYmEzW8asVitW6YKVWEGUM8pGdKYSqibV773RVnXrp4p10QLXeYQG27GwvNYqy/YbfU1+5zTnRw8Ldi9rkr7Now+6vPj+iMyyWC1y5pOaxbRhtZLCRJumcjAam37QZasTcdjzuNt3OBT5+8BmwwnxhZ1fBtr+zyzbIoC6MihEZr9pi4ukCCRuIDYMsnUka6uCGINUZPelSMZwKA2HqpFwKZVLrVwMsTaS91NaqNKmzk28dR5D8hktscHQqnquSPT74HsNrtega7XcBkfCUQR2pckSvllhi3rglT/ZOgxh4su+qiLPYlzTZuhH9N1A2+hlhkU2VaQvS7KXFflxRXGkKC91Sb/+DszNBnNbYWzVGNsKtkqUL6oHMgeXjC8v+d//b/935Fl9A87ftF/fbjznb9pNu2k37abdtJt2027an3fTUmOPT6j/8CHq4+ctq+vBnpa91/70otH+b6GtZrGWvhew/qufP2VyOtPJnVvv7PPO9+/xzg8FrD/UwNPD4oyfps/5Wfac40pqxQ0OdXJoQCQV4iK7iM2B1W9Z9VYfbw3APs3n/DfZMz7JJ1zUUqve+gvqtI5ms7zJPmi3rlhqupckjx5fJYYk4WgQFA5h5hBkNk5m4eaSfW1IgpSL4ZT5cKp1C4U9aJYWRuxB4lMsfbKlA0uXZtGGsfQxc6d94BXWhmkiOezRwGSzJyB5Q1pOkUxeJ2zYFk+22KY4t6jGJk0iLCwBE6AKaupBhdouqG9lOAeFfkA2swYuwD4He9FgVcIoqPR7bERZW0A4OWCSbFCNZtyLn6mVC/u+wMxqPRZPZmFAWdgaWLJsD9vU7tCYWtq6BZKywmSemSx0WOS1SaYkOSA+ho1m4augwuln+P2MsJfT7eZ0Oi1LtRF2wDxgMQ51LC87ZLNQJ7OEyKgf/KX3wA8M/J5FOLQIhjbhpoO1ZTAfJcw7Cy6DKafOVLMk5P1t07sG6yXEx/FPY7TKdVTVwvJsgfq8iDV4L/ukDsAe27hTD/vSwbo0yKeKV114Mah5uaU4GggzptH+p3dyg3uWy/1BhzvbfV4qi5+sah6lDb5j8uGmx492PDYlCfxqRv34AvV8TPlywmx8TrxYkIoQdC3JEZd5NyQLA9wgYsPrsx1u4vdGKC8QDQkNqEmyUBjYqhRpZlqJ5mq9/Vo5+E9tGsS3WwBf0tO5WZOalQZAYrNkZZYszEJHYlXUWiZUPKBbefvQsugaFh1T2LY2A9NhoP1F15bjukBG7CPW5oxXWbU3eq1afZWElV6Jf3bLjDdF6rRutPSweKgaUlCRlBiSIEwKyCo9BwoILUKSiWWwckxWtklsGcSWTSyemuKxaUAmUojSm+JFL4D5Wj5TgKs3qnhE7jY0Lc28D2wHV1g/FuSWFFe0/y4317LHJjpppiwpstFYj5ZIDrTMKfgK/ArNWoyUQVQJ890grBt8kT4VRpeorqoGV0vDi4co+vPqY6aTXC1IvDa41H2bDBOQumUy6+1qvV3VbX+VYrrSo19LyhtX2ry22Y6d9Vi+OGEYy2s6DArxR69TJiphXCV6LOCgFGeM/A59P8LzPC1dGXoBoR8QBQH2mq2sf5+EWLKsx/L3pG9MkzozKZeGZthLX8yhmLSAvmCZwoCzhUW3DotCg+i2iL9eJVWFxWaYa89xwcFa4EVZwqJa+54KS1V/XgHl5b217LQq8alWrk5WtrICwmRr8EQZJaxwRTXELnUC0qwLjKwQRFRLgTZyTXsNSiJsAXtzFGFvdbE3epr1c6XR2haOtNHuuhqLfGjD8nnD7AnMHwtw377s9hv69xp699re6b3+HSKHbgehDktY4+tzV1hgi0TA+gXz1YJ5su7jJbN4wSJe6H42SVi98jHOd7Gn+1jzIYZyMS0bt+cRbgSEt33MQxPnAMphycJPmdgpmSXsOzk9TA6SgMF/1sHPLL7/vw54/3sR2653bWmhP7fI5qcVTVq112wmCdz1nKDP3atxu/16LOe9nAeKtMiYFhWTsmFWwaIyWCqLVWOT4JDi6HXAm7i1rAzsdZhGq/oifvbiS2uLioMl8tXgWcKolDClVkEEyXGaSt9XrbrErkqsssCqSpwsxT0+oT4Zazl7KQCxwy7O9jZmd4hBBwoHCrFfab9buZ9XjS0SBVhbPvZhiPugg/sg0mS4XJXtPSi+oMiXWoLfSGqMuMaMFWayvuev4dDcb8iDhjRQpEFN7CtyW9iCrZ2NFDKrJKcS9aVVRn3WoI5kfeExHbs00x5uFhC4AZ1tl/Ddhua7U84fPOckDLg4ep+TcZ8sM/Ezg935EYfpH3M7e8p7iylbidIFls7uvmbVe/ffxn37HS01LvKz5asXlC9fUEh/9PJahla8udXOLZbWA8aXh0ye98gWtmYXV++aLN4tOL+zYmIsmNULFmrOUi3IzSW5uUBmedeqCZySTVtx4Jps2wE77iZ7/gEH4R1uhW8zcHcwf9kuQGShZzXpWcXytODJ05gvv1hw9jyjGFe4sawhrzSVYX3r0kChBgsFa2xkrdSuIaVQw7INrHWRnOUaWJ6J7UkRhKKIUrJOQurJ+5+Rb2YkbxcU+xn5XkojhQHX702KFCyyzCHLXLLcIdfjdeQOVbkuIl2vbSO/IvILOkFGx0/Z7ZVsdVN2OjVDz8CV4sh6SFMMKPIecdphmtpM85xJkTPW11OuQeU3m29aHLgOB6bNvmGwjcHQtuh5AQNfIsKTuXNtvaIXA7o3aSwp5ETPuaLSIeB+uZiSf/oJ1ce/oP7yS5qyoBkNUe+/R/3+uxSHt7i9VJg//5j0p3/0BiD/Ec1HbzN+2+DMfMKxes6izJkmHp+f1Tyajnk1u8CwSqLI4WBjxIONfT6I3uZt+46OXbZYSkGe2wKm37ZpYH4N2F8B+MKX1veVa5C/LV4QCfae2UHgzas5WAp7P//5hJ/8v864/CQl3co4+/ExtfUZ28evuHN6zmgV62P1dBTyxVaHh5s+l0OPwDH0utG3TRqzYl4sqJXYxJR8J1X88Ljg3Zcpw1jRRA7LDzYof3BI+P732Aru0DdkRSyxhTit/3JL65yn2RFfpS85ys85LyacFmOm2naibVLwuu2O2BGw3pF+g6E9IDA62CokqRWzMmeubZZm5PU5qrnEMibUzTmZuiSdrhg9XrH91ZLRy1Q/h0x2PF69FfDsrYDpUEDDRsv8C/goNUYCverljNwT9fR/pYTWWvLo4tH2weY6PNNnYA/pWQO61gYda0TEhjZOqWqTUplUwlKuDcrapFImhTD022WTFgMK51NunT7i4Owp+6fPcctUPx+mvSHx9gHN/m38e2+x9eAe+6OIjiP2Z6+LMzX7fa2o9Lpf34OugPn1uSHjy3jMH774Yx1fXTzS+9/ZesBv3P6Rjr3hJokxI2bKiimxLk+WfqqB6qvmNj4hPcKmQ9BE+MrnbDbX7OJ+GGl1mVJK1Az5f/mvoDTytiejEBu5tV6NuSpwj1a4JzHe0QrvOMU7TjBLWZtb0Akx9rcxZZH78CVqp0/xux+S//gOtSX2NRmVPMmIVYEG03MKlVOqUqtTtAW4rd5AawfXzn9XSlkyp2p1jqa1AzBqUyjV1HlEkfRIV0OW8yHpcpNkuU2y3KAuLUrjEqwzKvOMgjMydcayPCWr2wImyzLo+RG3h/scDHboeFJYF+CZAa7t45oBjhXgyP1MxmaAhY8ldksCbosPvSy9pcDsZ/8M/xf/DCOeM711j2c/+C6P7veYuWPm7jkqmBB5BZFTErkFoSkS8CXpsiRbKYqFSbY0yJY18TLTBaat3l/JIAjY6PhsRDaDqGGj47EVROz5A/rGLl7dw5C6C1nbC5O/rGjEomkd+k3q9b9cO+ti56YtWJaxFB1JuWLaSJlDQSrqMk1B3JQkSs4HRWA4hKIsYYjqmPS2tpmQfEwbUrKhswVfO6fbx4z2WeZq5SXPx/orlOJpUe6q26Jm+Ze6iEW+c3nu8KFxm/U6Wmw2FFld6mKPvBAFo5IquzpnGgxdJCFrXwtl1fz8s5/xv/of/5c34PxN+/XtBpy/aTftpt20m3bTbtpNu2l/ka3JS+pfPGtl7x+daPDD/PCulr037+/9pcre/3Ibn05boH7NrE+WKY7ncP+DO1oCX2L3zhZn9eIaqP8iP9Ypr02rx4G7Qc+J8ETW2DA1k16A+kOrz9Bopc3lwXPFigULliyZNQvG1UKDSOLfWClLJ2Lq2tEJJVPJw7bIwrnXEneF4AaSNPgGmfVuajGMXfzY0uy5aWfF2XDCOFpSSvJx/VklRdMKyslDa/swi7DNFxbFwqJcmtRLGxZuC+IvXazExa4t7NTBym0NTIejit7tks1txSi2iGYW3tyAuYFaJ+bFkq+JoB7WVNsl5a0CtgqsuMGdmtgTSzPzzarA8gsMPxdacIsW6vqFFnDTRMFWK1wDGJKpMupS/ztTWPhFjV00uLpQwcRPLc0SdGoHp3Qw5cDlNY08NP/yY6z2AG89ijO7Jh/WFP2KqlfS9CrtHSh/X4oq8sQjXQbEM1EniFhNuiQLnywzyHKDVLKXOgmw/t0CJOqEuInZUyj5vX2Rqs0pexlmqAgig+0oYDeKOIy6HIZdel2bIDRw/hQfvhawj9eAfQvcl1WmfQqtqYk783HGLlyanCSKF27Fi2HFy4EidQUEgndjgx/GJu9kBjEWp43B0rFwuy57mz6HOwFOR0wCHYzQ1rLGyeWER8df8PLlI7KTGcER9I5NnIXSOSwN9oq0o2UjOX1XEliSbBawU4OrFtpget2L16EkzBtRl5H+jRAwSY9brU2dBJUMii4IaYw1+N/K9GrGkIgGlAIeiC21Iq+bNtGpNP5EYTTkWtpcziTxxxSw2cR9Q/ZWSobstXe5Bt7rEktJVFhNhalKTLED0CFj2SfsizZMYWNUFYYA1Nd52bVUuv6lZvu3BY/WnpJtgr21jn6DSt9WAKz/fcuQqc0GIUQJA1kzIq32OruKK+hCMwfFEkBAGs0ilOKBq4ICyTWu+7WVw1Vrk1gtQH5dAHDluy5FNLJ/fd1osPbN/qpdg+ny/QrAfAVyr33qXQG7BXR+DYSb67GA6JIYEx9xSeY1edUm8gQw1ZIErXoBXyugEJWM9v21VOLXn0FAl1Wds6gzZmVCJhLQhQCZouABdtVg1Vz72kroxKukeK+SsC3vTMdrn4sr5uXVxPqaaaavWQkB9QVN9W0Mz8bwbaGHCTW8LSiQa0KKD6597TVPUiQENOtKTuRGTuar3i6gW2L0DaGWUlkhTb1BnQ+psy5VGmnwvl65VLGA98KcEwZf1QL3Eo4wh2TezDAquSLkHJUJQ2Rsf42lwq+bgNY/LoypxdxjOQlYTD3iVQuyBGFFb5TRH+V0hjm2VH04hp5DzMDFjDys0MfqBFgdv5VJb9Hn9rh56/PnDeA8K3IWyZLxdMbzL1e8+iLj5KuKsy8hFQBI7Ew2oLfTZ7i5qz1SndDCGxaYnYTGTSiLnOV/4VGfW2z+1pztg5wtZTGsRLHCaOWF1wnZ6/lXUyflHGvvSdfXw7Whs/F1xYfrfV9/Xc+DWrnDYFJVnOQFubAZPSkQCVGORWnKWqAFYspaCrOuXBl+/fhPys76jsFOz2DLTNlKpwwnpzgnp1RHFzokea4/YtTF3trFcDcFToVCGHFtsUI7PymU09D4OUY3xtxKsLcTiHKp1vmamrbMxRQujfjNS1+4QsWWiWt9POWiKzC8ct0X4JS60OS6CRqVVkwX8PFxyRfnNmcLH2cypH+5QceIcFyD5m5C/vaMyYbHqXvAkdWhKiy9FvKyio7xkIPqU35YTnkwXtIbx20xhr4+2pWRtbGJc3gb5+AW6c4Wp6suJ5/C9I/LVkEjzFl8b8L5d094de8Vpfma8SlFHwO7x4bdY+T06Rk9LfGdx13Gkx6nF13qyqHrlby9EfNgcMph5wVmM22nDgFevF1cdwfXlX4T49co7Mha77JY8WixYMfoiRYPTg7JQpGtKtJFRbaqyZYVRVyTxTVFrPS4ED/eVFFliiJT1Fk7rgpFnQvqeH2b0R7UnmHgyjokMPD2wHurgZ2KYjej2E5JNlekXqoBVAlRldDjKiepShaZwaowSAqLrHTIS1dLXVe1AJG+Pl+k4MR3G0ZRyU6vYqdXsN2t2O0qtjq0zOgrALfZwq5HmoEuYP1EQoP3LXA/zmVfzkWefg3E77see37IbhCyF0Ts+tKHut/0/F9vJSOAy1efk338M9KPf4aaz1pgX4rvRF3p+z8g++iAi7cVx8ZjLqpLlqXieBbwaJbyZDZmmlxSNwXdwOetzT3+1tb3+c3ud3lg32HP3OQiLfnpxYKfnC/4xeVSqyRI6zg2A8/W8v8Dz9E2HrI9cJ12vw6HgWsTvDFHvtlE8j4vC8qqJK/afrKccTEbczEfczG7XPdjrXAiNh/+5QYbX3yHcLqFuZMR/K0Zg+869LHoXUzoHp/QOXqlj83K93l2cMBnu7u82N8n9X22z0+49+RLHjx9Sme1IHbgF/shf3Rg82LfotuBUcdkI7TZ7DoMOyLZ7uoImw0G1j59c1d/330Jc6Sl3QPL1nZIM5n/y4LzfMWrbKyZ9qfFhMtyyrSaMVdzbdMlRQnX1yeiHhYSGF0GVp+RM2Db2WDP3WBLy6Tb9OxMS8eLSomT13hfPsb57DPMLz/HlGLinV28Dz8i+P5H+Hfu4VnWtyqqlfdRNhXTYs6L9IgXybHunyeveJWdUmt2tWLoddkNRuyGQ7aDHlthh6FYIYpCWjyHr15iff4K50tRd1jp9U5+t0/6nRHZ/SHWPMd7Nsd7scB7sdRrKLkX1fsD1J0t1J0djDt7mHvbLaiLhzhtS6/Z59fj1/uEn3wF2xekGmw/SV/wr17+ET958TGfHz0mK1M6HY/7t3e4f3uXB3u36FtiaTDU0WG07of6d/6Jx6poqMurvp2TBCyuTo8pT15Rnx1Rnb1EXb5EreatRYJhUHY2yDojHbE/IPZ7ZLhUAgQ3NT3O2Tv6Bb3Ll9TDLsnf+gHN33iXYMPD69g4hkC4zjWc+3Vo10GVDuNZw+WsYDLPmcYZiyQmLWP9vF5VQ2yGeHaPUKY1e0zenJHWZ6yqU+b5KdPsjGl60TLdZW3k+Oz19tjv77Hf2237/i77vT26fmu392dtcgyLp4+J/+Cf6MIhKewM/9rfJPrb/xHO3v6v/LwU68ybJWM1Z6LmjNWMsTpjximxcUlpiJVJjiVqPLL2ShXJ3CJfmBTLtkg1WxYslktKXSAiIHtJ5NmMopZ4kVc1hYQodlStTccVOC7/Ewa8gOxyRgrIHsrYsNsiItuja/qEpktouXIVr1+zdeFZLnZ/TUmqSjJVkNQFmdjEUFM0UhpX6Z/Jm4pciaqQqBGZWpFILARkLCoIUvVtyTlgOPqcdyxHF/3Ls5U8trhWo5Uvuo1DXzmESuyC5FmxNYrIDCkgqLRqy9KqiQ1FrNXXxHKgJBb1i7zQtgOzfME//9/8f27A+Zv269sNOH/TbtpNu2k37abdtJt20/6ymposX8vej5cYw6hl0//4bczNVnr031bTUslPzvjqp090PP3spX7I7w47LVD/w3taBt8ZeHycvdRA/c+yFyxVph8y73jbbDo9XMvT8oHiDSgg/YE5YMuKCKWU+peaJHCugPvr/5oWxI+JNbssE6lKZWDWvvb2qyqbojYFcyYVkLCR5FYPv+wRzHuES1t7wmuksQszL2FmTSmDGSpcUrulrhIXUFMk7JxGElg+VuOhGodENfohV/52WTUavDcXLubcwzjzMY86iJZilZuUVk3tlxrENmyFH5ZsK4Pt0maU2/RyW4NemvhrQdVR1BsV1V5FsyXMUhN3YWMtTQxxAhD8IlLYocLzKmxhowrYWdQtE8ioqR1F5SiUW1FreW0B6ARIb1kOeiwezFZFI8l/AaU8pRlDXukTFB5+4ePkDnYmHrkWVmpi5gZWZohFJKbg3OLnK9+BFaOcDOUXNEGl/55uuYEh/y61IDWpVzZl4mogP195pIVLXtrkuUUmnn2NRdbYrDBZuCZLW/z6TC0bLmCrADdaith28MWXfGCxsW2xJbFl69jcseiPxF/xG+Qx64q8fM2ul74oU53UN1IDbxZoWfzp3OBJVvNJUPKqp3AbeD+z+aiw2aoMVrmiiksC8YB1TLquqRmbGmgKbAzxGo4ckqDieTjmS/+ES1YYExv70qM+KfDjlkVt1Up7x0aVodnZYdkQFG34eaP9ZUXmWCNSa5b6a+buGvy9AonXvT76GsAViUKRG29ZF6296rpoZX142vEVMt7uvOIwa7B/LSPNG6FPo6rWIHHbXh9rnV/T1gnrggJhVUvSXoPRdltssB63xQctKC3sPdmnAW4N1unMceuxvvZXN23xLTT0d9vKYbcqGppMvX5fLagvbPNGK0Votq6w069kCN7A81u2s7xXAyXMDwnPBPG31r7RAhibmL7dRmBjSeJZ10VcAdItEH4FimtAUsBm12pBZ8/RgKt8VkmAyfehypZBLFHrvr7evt5Xvt7/TdklS0t0Wtieje1amvkp6h7toTNalqiWyVZt8Y0A+BJvjJv8ap+A3a/neOFECbOwMGo9z+XC1DFqzaFK66JN+FV5y6Di6vxCy8iKMorIa0rvG60PrIeFJ0wqz8GSY+i7Wo1EHz/1Buv6DTWB62KDK/b1+jX5XoW9tSgzlmW+jgIjLuhNS309rfVXyPom2dAk7zeU62gGJk3Xwq86eHkfL+vjph3sNMKKA0wBz2MbU5QPjAqHlm3vRGB3DeyO2fY9AysSu4r1dbE+7/VldDX+hntomcLsFUxfGsxeQjpr/0HQr+mNCrr9lG43wW5y/f0YlXzuteWEMPzMtnhB93LN/xJgr1UNBLh3X+8rs5rnn6R89vOYh59lLBdStlOxM0w52Kw53GjoBC0IIeVpIqP6i69Czi5sdn+QEfwwZxpWnLslc7chccQawGLQC9iKAjY8j4HjMhK5bR0ufVFv+bdYVHjVWrbZmoy2BuuvxlnZcLFQnM4aTufC6G8vgn5osNs32e4ZbNdLBtMzmpcvKJ+9pHx5QnU6oSkK8XnAEL3Y7iGmv4dhCcszwhLfWFlbyJzkG5iRhbnpYR/6mFs+Rs/B6LnQlbmvlfzQ11BWoZY5apmhFjlqVaBEVUSfT2CGDqYoOnRcjI4jUjsoAbGmL2kWU5o458Wy5OOi5PPU4WwaEE02GV1s0p92MUXGIzBIdh0u+10mw4BkZNHI+01qantO0H3KR8Y5b7sVs52Q002bc1KyL8D6Wcjgk02c2KXo5sw/uKT+QUr4jsHI72uv9w1bAL7e9bhvd/5Ey4yqbng8rvjsrOTz05KLWCwH4K0RvL2x4v7gjNB+SVacaCBX5qbSDbWs/Mq1mHsGC0skoVckxJq7ePW9+yokqDv4KsKrQ9w6wKk9bOVjaq/gdj7LVaG9nnOZ22qxUSj1WPYJsKH3i29xmet+kaQUU3BOfPzzDr15l/6ixzDu0U06+v5kWyaqV1FuZajtEnYrjB2FtacIBg6+LaCKeMC7BJZPIACL5Wmf7LN0xhfzSz6dX/BsteI8qVjlNlUViqwRrmXi2iaRCxudgo1uzkanZLNTcasT8KCzpX3JB8auBnEDeq9tW5pGg/WnWcJJmuj+OI05S8UiJ2GSiyZN24ShvrsG7vd/CbgXIN+1pCRF1sElxatnZA8/Z7kPZw9KXvKUeZUyTU2ezE2Okoyj5SWLeKLvz30v4qOtd/l727/J3+5/xK61SV4rPh6vNCD/0/Mlp9OM3onBg0uH0Zcl5rggi0riXsWyWzHvVUx7FeNuTSxLTA2BXRXmtiOjUXoutVSOVeeYtRRepVi1SNPL+rpo+/VYjlIv6rLV32Czv8H2YJOtwQZbvRHbw002uiPixyY/+0djLr5I2Xov4If/s012P2gLjZuqpHj8iOzzT8g//6RVnBApa99HxTFVGJK8/z3m732H2a1bpI3U2JRcFnPOkguOViecJmdM8zGxmhP4uWbfDjsmo46tI3QtTO3B7ZJlXfJiRFUJbXVdmCmzuGFp5qwAdxKR7RBZHpElE5P4qedkUiyiElYqZVzOuSwWrOT4rM+VwPTYdgdsOUN9foqctSchhaWmjV9D59Ex3U+fEXz+HDPNMYY9mg8fYP7gbXiwr58F1qYDb8S1dkF7/mgmeHYdsi22A9M04TKNuUzWkcYkSc7hac29VxXvHjccXNZ4pouxPcJ9/x16H3yA/857uH4fgSzlntbamgjLPKesEsqTl1TPXqCev6J5fgInl/p8Ua5JeatHdqdLejciuRNSjQRR/tX7WFvI7elxoXWc2uYRarBd2NHHJwu+evGKT148YrZaEToB3z/4kN+49RG/cfsj+kH/G+fE+LLk0X8915GMxSZH4TQLvOqMoD7Dq8/x61M8Ndbnt34P5oDM3iazdsisXQpvh9rfwPJESc1s1UCuVEHcdlsXXS8q0lkNl6/Yiv85/fJzSrPHmftbTIIf4PRcnJ6Buw6722B3wOsbWOux3Wv0M2ljtutsKbYvKsUknXK+OuVkfsLx4pTTxRmVVAiLooPlsNvd4aC/x94ahD8Y7LPX22UYDP7cCAlSKJP80b8k/oP/SqvAWJvbdH77PyL8638TMxArurbJHH+cnXKUnXGcnrGsVtiGjWVKqb5YHYi1gRSoSC/6A8L0F8uvBTPOWRkTUnNGYSxRRqqVb+QyqpRNWpjEK3lmtPXaskkVXTNk6Ax0wdqWtp/oETqhLkzwbK8Nx8WxLFzHxbVtnHVYuji4vYrk+mm1Qa7GrUWgR4eAri760EaBUpxQF8R5wqJYMstnzLKlVvNY5EuW5ZJlEbMqVyyrhKRMSKqUuErJ6kxHqkRBoWz/ihRDG+urWSwM1ko/a4qALu5z9PpfmPtypdjayi7EIWocOrh0GrEjcvAbF7d2KBY1/8f/5X96A87ftG8Hzv/e7/3e9YlyA87ftJv2V6+lacrv//7v6/Hv/u7vEkhV5U27aTftr2S7uV5v2k37k5sG056da5C+/tkTza43725rkN76/j2M4FeB7L/s67XISw3QXzHrr/zqd25t8s4P39KA/d3vHnJkLzRQ/9PsOS/KsU5siE/9rjOkY4etZLBObDh05GFOavMbeQA2dLW3JI8WKtMg/6JOWV2NVaJ977Wf7DoFIx6UIpEsrCNh+Im0pwD3i7LWkn5247BlDrmb3WZzsUOw6mDIA7TfsPRrxO1SewaL/HFnhRnOMcIFZrDEtGoNOARKpL8jekpYD32K2mapGmZ1zUxVTOpSs5OL2NDAvT8OCQX0Fm/kwqacW2Rzi2RuIrbLrmroFjBQMBBwQBmarSz5CWEDC6NAkwot8XdfK4/aa5awAGki8SgM6EqKCcw1YLkG6KRoQZjAQoV1Khq/hG5CM4gx+hlWp8bwmlZG3yqp3RTlJ6hoieGmmq0nx9O8+k9AtStJ7dZTAEu8f03xVncxlamBfGepsES2vBDJfQGZaowr4O1KCbG61ibHSEzM2MRcmJhzA3NqYojWfiW+hyZxbbEyLA3WC4s9Nm0mrsul6zEzfJaFRym+7QKaCia1URJul4SbJdF2RW+roisxEKlzY839MLV3qGZ2V8LoLjDqnFoMR+WQFA7ZZcSTWcQXhcNY2yYYfO/C5oEZEI9CHvuS+FAcuvB+YHJHcGeRe07E77rUvUhAi/zgSjNsMipJZtgCj7VsbgnB4FqH0jUuuWZ768SCyHhrkumVpHN7TljrbZ0OMa78Y9e9KCbUJkEjCgkWTiHykpKsvvoDYpPA6+9EACyzbuWUTYWSkN8lv1cn3V5LMYtXb+Eb2tM3F19fv6EITSrPoAwMavFQX+fW5DNc04sFrBKlgDXfWv6TD7p2/WxTniIbLb7vTVv8UkmvU7nrbc2gbmURr/wM29+t9DG78jV9XUvQFr60AhOiNNHKSGuGdugQuj49O6BnBASGXKMuAd46XALD+9q2i/PnqmQiBTVS4iJRrvukyZnVqZadl35ep5rdLmDRQIVs1hHbZch2EdHNPIwc6rzSjKo3m1wLlrsG8D0Ly73q230a3BcwVz6OLv64NoX9GiNb14HIabIOGde1Yl5mTLKEcREzzVKmuYA7KfMiZVqkzIqUZZG1BFz5ctz1/OMJLV/pJGeb7G8TeJL8FxBA71tHKT6cDayEyaRKZqpkKQVXIqlpmOw4AYduh4HtUUiR0jTFuUjxLhP8cU60ju5E1ETaxLGcQbOeyXhgMB6YXA7gUo8NLgcmpW0Qph7dJKAb+/Rin61lxPYiZGMZEuVrWWohQEcFWT8nlxhklH2JVuVErk9tbSD+ulzZHAhY1HruyjYzk9VXDs3ZBv78ABZhy1reqOFOhX27ItgpiOyCMCnxkxpTFA1ENEFfKyaF+KqrNgTMt8tGq6U4ch8rGw0Am4GDE7r4vksS+xy9sHj4qOTl85bRq/pjpt2vmPePcDs+h93vMHz+Ac3DAeHtiN4HPX0+1d2CajMl66csg5SZI/fhknktpglrhQt9+Rv0heF6Ddq7jFzxynbYcF0GjsPIEQaY/ReiDHRdZKLnEIk3xzKftHPanhvpc0/G86ThZJxyernidFpyvjS0rLwogIycBVvujO0wYbcLA1H1ECWcaU19kVGfTKhEHl+kakXlRyQKnB1UGUHlY1mm9rp1A6UL4UynwZQlnCylfEM0yCGwIBLJfBtDirzEJ8YyW6uASuZ0hcrXVgLia+7YWMMIc6uLNRBriQn17BX1yVOa5Zg8zfmyLPjYUnxi10ymIeFFn63LDYZnA7xlH6PukPouq22HescmiUxi16AwSoanBhtHit6R0ucS8jfe8XC+E+DdESl9py38EwBO7hHr+4ZIoetAfIfbYy1svUw1upBSQNjd0Ob9TYsHGxWOJ/fFWAPsJ6uCx6cmL059zseh9ud1owWdjRM2+kfsBqcMK8WoMghbwSBiZXBWG5yUDceF4lUuwHqGIaoXYmFhyFxTY4mZjDDeDZk7pJBILE8cItNtQ4BM6YWhaLrXChHtz4tijNy/ahbzlVZr2to6wLEj0qXN/MJicmRy9giSFx5MAzpmRM8OiQSayA0cqTqQmtDIJDp06Rw4dA5cokOHzqGLv/HrGccy9z9KXvBHi4f8dP6Kr+ZTTlY5q8ShyH39PZqNyDq3Mv2hpxhEKcOoYBjW7IUed6Mh93sD+r5IwwvAcy32fg2WCviyrFKtqBKvQ0AZWYdLEYMoicg6RGxuHFlHmTKHW9o+RiSOV1XJ8crkOINjAftXU5JlLJMVW96Av7H1Af+j3d/mt/of6M/6ZJHyM82OX/LoxYroCPbOTLaOFO7LnCpOWNZTJuEZeRgT5B2ivEeY93QRzJXxVeXklF5G6ZdkYUUWKdJOQ9wxqDyHynUpXIfStckdm0yK5WStaLZFT7KmFQBsMwzY7HhsdF02B+Lv7TDyHYaew9B3GEkv91PT4PinMT/9R5eMH2Zsvx/w0f98i53vhl+/vy/m5J9/Snl2gv+d7+Hef7tVCPmWTcCxF6sTfnryJZ9cPuKr6UvOqzPqICYMFL2OTS/06PuiKODSdQLtBz3wO3hikSIqQr9e3+VXWl7XzItCM/Clb8elVlsQZbJC1fqalPGbsJeoDR2+ynj7YcKDhzHdVUUe2Lx40OXlewMu7vexXW99X2+ltuW+L9dZZImdxUBL7+84mwSmwHgatsNuPMzTOerzR1RffEX61Wdk2YrENzm/PeDxgcsvdkpOfFG6kfpKm8Ngj9vBPnfCQ7bMET/5H/5Ir2N/4zd/U6u+tWuAVi5cqwhkGebxKdYriWMc6WdLvdatQo/0YIP4YMByv8div0seirWJsJALvQ7ZcLbYsrfZdfYZOiP6dpee09HS7lf3oufTl638/fM/4vHZQ9xK8V7vDj/cfJcPRvfZtvtcfjLl+A/HTB/NcaycrTsNoTPFmB1jiJqPFPx5PubOAdbOIfbegVYzcQ8PsDuRBtxtt7XmkM84TiZcrC65XI05X11oCf52+5Lz1SWpVApe3zDF5s1h4xJ+9GTO/fM5uenxWe8uT523II+wUg879bHS1kv9l1vtFdRBTh1kVH5GExREfZ/BqMPGsMfW1pCd7Q0OdrbY294i6Nm6UOAvolWTMfE//6ck/+IPUEmM9/4HRH/777B8cMhxdsZRdsJRerYen3KZt0ot0vpOVxeVybOHMOjlHJG8gmzLcX09/ubrSq44WclLMYgUbrR8dVF4uiobap/b29Lg1+1KgUqIC22h7VVv6fnptaWfqQF6vS392m5BP/evC+FKfZ3WVLroVSwgZH3YWk2IzZ3kQt6M9inpjSJrqTM3fV344ppt4ZiMxSZDhyhHiDWM5Bu0NFn7XC/FtHFecLRacrpacrxakBUFTV3St0w6on4vz61Nqd9/13DoGy5hZXD55AX/9//T/+8GnL9pv77dgPM37ab9u9NuwL6bdtP+3Wk31+tNu2nfvokXs/r0BfUfPaT+6kj7Q5of3Gll79/e/zMle/4ir1fxqxfp+69+9kSD9bOLBaZlcve9Q82oF7A+eqvHL8qXGqj/ND+ibGotzxY3rbyyfozVfnbtI5U8bPbMgKEZMrI6bFsivxjQNSV8upavX9djUxKi8kApMo+lZtcL037GjAt1ydPqjJfFlElZMC0l6aRwapeD1SH3V3cZ5SNs26IKG+bKYSLEUvGndyUzKyBohbISLH+lwXo7WOG4qQZO19BiG41IhVsUyiJLPfLzPtkiILUVZVhihAWmX+EbBp3Cxl8GOpxFgLn0qaYu1YWjmdZOKQ/AjZYSd+wax5bCgwZ5SyGmOMpruXFDgBk5YALo2lA7DbXb0DgNSvIoQkx2DGzPxBGmtycMdANHmOuriiSXY5+jghQ6ha7M1y23RKkU5Yqkfo7ZTbHCHLcWEAisdWhPcXlGD2qUX6G8WvvOaX147YfevgddaCBy6BKV0qC99kLUgNMaINQnfXsGCHCtJdoFDKkMGgHz8waVgHkO7rGFf2rpgoql8jgPPc46Hheez7jxWOQe6cJrvd3l9zoKcyvD2sywt1LsbRmn2FsZpshirwFeAc76Tc1IQlU4UnhReDxfjHi+HJIULt284d1ZxU5iEvsRR0EHwwp4bzDgR/e63Oq3QK5m/4pPc1xSxRmv4hPNTNBf19ob981e+9ZqEKPRQEauriToVRuq0WxwaboAQzOW15LTwlhoGpbLmU6g37t9SBj5mCKVLoyrtUx62zuYAtQKy9WyWqaITtW07JBv2yT9IcCyhJTKtGNJSVVatvQ18Fy+Hjevweg3X5Okl5zDr9NGLXPlCs6XNJLIULTW1s21x6l4mIrvqWxL8ljGOpksjBF9/Gp9HLOmJmkyDUwI1V5UJDTgYLXXlSOFEFYLPoispBTjSIJMgBk5Jq5h0THEH9R7A7hvAX3fWDOpmvJrny1vtCsosRJfyIKkKcgaudpKPddJ0kwDhqoFDrUfa2bB3MdYurDwsWYBRuzpz93KGujKHV0MYysbRzm4ysFTrg6/dvArB6eyMUsTozAxSoNG4k2gXZ9vAtSI/cHr7devvZmzez3HfK19bftNv8r2rerkZsuxv05OioqIFSjMoMb0a5qgJHVzEi9n5eYs3YyVW1B4BZVfaolv2yuxLPGqr3EFtNPMSCkWaK8FXSz0DdiWJC3luxzGFhuzhuGiYTRt6E9relNFb9Zaf7Q2Bg1Jx2A1MFj1YdlvWPQUr6Ka555iEsmHcrmdDLi16rO76rGx6tBZhDhLX38vUodQ2YqknxP3M1b9XMdiHbmjKNdzm5ybq1hKjho6vkcQWwxedRi86tI7GhBMA33UBfBPDldkhwn2YU5fAOLGYVBb9LWM6Bqksgxi1yZxbVLXInEszo2K4yrlokquVRikaG3XjdhKIvwvA6pPbRafNtTiJR8k1NsnXAafk14oth7+Fs32ko3/sGSv+4CudQD5gHjxeo6Q7zUzKxK7ILVKErskEUazXbbbb4yv5Cuu7pmBcghqG1+JioyFV8v5bGKLjYKS+UzGbdFZW5pzxYtdj8WaRhjyumCnBeXl/vX63G3/nv5ZkXDViXXpK0xHMfIbtu2SHSNh30zYtUsCR2FHEam3ycwcMq37XOQR00S+KRHXMNjptwz7nYGp+0juuWcTyrUkfj1dagsPVVRUInN7YVOMXcq5B5WD5SgMKViRsEStwmjn/MLQYhZpXmt2vzD687IhqwzyUn5G1jc2m8OKt942ufeOw9a+jdULsXf6WNs9zL6Fys9Rz76ivniOyiZMVcEnRsnHPvzcS5imDeFZl93JLhtH9+m/2MXIRPfCwhG1j6IhHZlMH1ic37eYbTTkupZrfbzXc/BVfdeVp8e1csfV/UkKwbSStMI0agyzJA5iYregMUtcb4oXHBF6Z5hGTFk2WpGoyMVKaAcjvYOR3II6xDArrOAEv3POXm/GW5HBvmuwZSkGZq0BYw1maLCiPWeuiwp1wVt79kivjJrKaCiMqlUJMSoN2OqiOD3v+7hGgGuEeEYHX6wCKp/nnz7HoeGdd+9iWTWqzlAqR6kM1RRUctySiixppfPzTJHHDtW0i5X0sdMeZtzBWPpkZyIN3a4cLd8k2ndxxM5i7XsvQJuMTffN3tS9FHfMrAXn1piX5gkPyyOepXPmBcSlSa0CysYha1xyubfLOkyKA+ySjp/QDVK6QU4/KOiFBT2/xBOFDjl+Io+seykYkF7DRpoFnjWKVEnUWqI4ViWJqBA0hVYxyVYZxbLAyBvNDP2drR/x93d+iw+HD1gWSsvU//R8wRdfLjGe1QyOYPtE4U0r6jRmzjlT94wknLK5H/Gd33yLH/3OB9y/f1erJuk1VdOQT2vi44L4VUn8qiA+KUkkzittS9AWhYEbmXg9E69r4ck4MHEDA+U2LOqKeSlRM8lKZmXJ3FYsdNSspGjXa2TKx7ANDCkAtQ26vq0B/FHo0H9mYP5XBc1Jzeh9n/f+pyPufK+jAf1fK6sv95mqJq0UcVnrcXLdKy3hn1av98eVun5d9q/KiokUxGUxcZGSVilVM6HgApQUQM/p1CsOnIj7nQO+t/GAH+6+w93d22wNN3T9V3tHfh3fvN3Osq9XX63plwBzcs0LWJ+pikKJPLYoUQgjP6N68QLjk89wP/0S62JM5VhM7u9x+u4eR/dHxG6jVSkylTOvVu26b73C2M993n1VcOfFku2nY4K4wHV8wgffofv+D/Dee1/bbLx5XOflkhfJ0dfk8aVflTGTSQu8jkZDTKnc/VOa/Noobdg5T9k+y9g+T9k6S/BEaUgKJno+k70Ok50ui55Lnq6wi1JL/rulws0VblHTqS06pUlYmQSlgV80eIXSxdJiqZCVGVmaYyUebtLBaRzs0GdwOKR72MfqhtibWzj7h9j7hzgHh1jy3RkGcZFooP1idcHFag26x7J9yUU8ZhyPr4snZD3pOxFdf0jHHxG4A3xvgO/02O+EHHR8Oq57Dfxq8Hcyw/0X/z3Wzz+GwIe/8TcxfuuvY/hBq4RSmVSrhnIO5bKNYtFQLhrd53OFSiyqWOY+RZV+vXD0qsmc5op9Q8fC7Zjrvt32uiZu9PXX5BqW191Q1IO+fl1pdvjDL5n+0/+S1c/+kMxpOPvgDp9/uMnjIOYkO9OqKNKEAb/vb7Mf7HIg4e+w78t4h44ti7w/vV1ZM7Qg/jf1VQvuK5GSz5k3l8ybCxbNuLV00PNnTqIy4q9FSqJy/b21BQAGbiPlKp7+T5415D/Z9g1fF+Rf+dLL35Mr1pZCflOeY9pnGy0FZYo1TkVjFuLNgqMLqiyt8iIFM5HZoWv16ZkDbT0jVhc+nXXIONLc92/WhPr1x+hFsuInkwt+Or3kF7MxeV0R2Tbf6/Z4r9vh7TBgeX7K3/37f0+ryt2A8zftW4HzH3/8Mbdv39ZjSWBE0be7cG/aTbtpfzmtlmrP+VyP+/2+vk5v2k27aX812831etNu2r9eaxZJK3v/h49Q5zOMXoD10QMtfW/s/vnJwf2bXq/ySHR5POGrnz7ly5894dEvnpMnOV7o8eDDO7z7g7e4+/3bnG3EPCrPtY+aAO0aZJcHTtPUQH3SlIybRPvPC3tWmrBcN82IDTNk0+wwMkMNoH2bVjQF0/V/l82Yx+Uxz8pLLsqUdOkwmOyzvzjEVS65n5A4BUnu0TX6HAz7uF2bM80mEa84eeiuNEPSsxRdt2EQ1vRDhe+WWHZBZbRAnXi7Va86FF+OSGYhSTdldXtMsr3QoH0moM4VCVgT6RS+UePGLvbMw5r5GNMANQ3Ipz7pzNOMOg0km+LPXgrhTvtfDmqHbmNpIp7niVq4qWX1NegmLNtSwLfXqJvIHXp9k87IotNztES2gIc60VZlFE2qgQydhE9t6qX45QofFBqvxOyVmN0Cq1sS+A2hgCyJg7ey8ac23timid8A3tdNJztDC1MSLaGFEUlf0YTCri1Qbk5lx9RGQq1SlIBLqmUv6ASi2VBbwkBvYGFgnjdYR+C8NHDOTCxREhDlhKHLYrvHvNNn5nZYNiHTlcv0AuazNdAgCQ2vIdpShFs1zlbBojdj3ptj9nIGfTjomGwZDT2RQEwLvogtHicBWW3SMzLumgt2nAWGJ4kXB7sI2DAC9qMu3WEPzxUxv1An/IW3f8VWaAXlf3l8tdVyytut12MBmid1wawuGVcF0yrX29JflhkXeQv+W7ZFYNpsOwHbtq/7nXUv2x0tc/rvV5Pve1kXLOqCeS3JYRnnmv0r/aySccteXzSJBtFbMF+sIdreM1r1cMeQRNhawUD8JzWr/LWEdiGxZqxor4zEgYWHMffwZj7uLMBd+NgLH3PlaVn1JnE1oG5fAZOY2hs7EltS8ZK0SlIBOt2SzCvJ3IrCa6MSdQxbNNkVOLVWWbiycBfiphQZiDKJ+FdG2svSxl1LzwsTXU49zcR5bfu+lvFfqw9I8cJasr11UWhev3alWqB7UXeQM1b6FiRpMpsqtVilBpd5rWNSVMxyYdtIQYKNkVt4qYOXS7GBhadMPDkGaxkJ+TuerXCleMKsse0ay67x3IqtTsVOv6Hft/B8G893cEMXW1jIgdXKi4d220ci+94CJ7oMaFnQXC5RlyuaiyXqYrWOJaTCGG2vvLwuxciDWVBz4RacewVJIN6uNr3+gJ1AGHTbbBibOGWHfGVRTA2q+PXk5/RN3C0Tb9PCHhnkXowzNBndEnZhy0hrhIku1hvjFfNHGbNHNfOnBqtTqbyqcaKE3u6E7sGM7u5M+8Y3VhdlRCh8aiUMQakaW7Nx119ObjSsjJo5NdNGlGJKzii5FMUGAYCfeRhfhjhfRlhzG9dRRL0M61WPMjrh0dv/Gam1wLUs3hrtc6d3j67fI/JCQj8i8jqEXkTodbDcgLgxWSgpnGpYKVhUiktVMZWoK5ZNxUoXb0iBj8ijNjpkPpZimHY+bI+9XAeuPh8svMa4Pjf82sBXBk7VYOQ1loAoWQl5SZVX2i86L6QXuQGxZbF08YtduijDpzEDLFtAB7kKWlBSCvyEFSzFOMKwlvWF4DoCiNYhVPKd+waZbMv1IcIQ4oet1ycNfVtk1aXYQVEmtfYzz5M2iqQmF+9zYd1nwoaXaNFtrZDjgh9AGDT4nni61np94TkCsgj7vpXLP70oefG8Il/lBHbJnd2Ut96xufXAwev6WBtd7MMN7K0eRsdqgfoXj1p2vb3kpVXwsVvyx0HJT8wJiyajPz3g8Pwjuskus3di4u2YxshacwvdZ8KD16HWUSv55nJULcdXfMc9jMqF0sVSHlbtY657S7mYVUgwf1s8fIj7U/L+itKRogCHrltzq1vwVldxp+vSc0O6dqgBkyQNOZ54PL2wOJq3YM+tgc37uxIOBz2oyjFlNdWAsnjTt+Gstx0NOhtmu18bgLyxXpaV2pK5/k9KOhe6X0czI21k/dEWxu3VB7znvs996136Wu+obY0UfghIL6FBewHgEi6OZ1yeL5hPliTLlV4bekFFd6jwlRRgRah5QDn2aQo5Fn0M1dOM+KaU4sO137ScK2v/ael/9d4m30Rb/CWqUplWlmrXbrUobbgGy7BkEVTMfMXMg2WgiMOKVack7cXgLzHsJaa5AmtBYy6wrUzP7S1IKwVYbS8gl0j0C7NSxkmeM7A6/M3N7/Pb2x/x4eAdHs1yfnI857OPF6y+zImOFJvHDW5a6TXdzD1i7p1TOwmjIOTB3m1+8Jvf492/cx9/98+uEKaB+1lNclqSnFasjgsWLwuWR4UG7+VaFMsbvQYW1YoI6gCMkYG11bKP7QysVKLBzBSZ3KMEJFc1KwHuHcXKbVh5ikUoAL7CuIDtTw2CmcH8sOH4xw3lnkHPsonkmcmTggCoLPT67dc1OSMD2yKUcCwi3Zt6W/Z3HOnN69eln4mK2SLl4WzFp5MJ42TFqkwp1IKKS5pGJNAnhOWSfl1xN9jmO4O3+MHOu9zbuc3tnUOGnf5fyPNjeXJM9oufkP7sJ2TPHmt7n/rOHeL79zg93Ca3Tbrjc7yXL3GeP8c8O6NUFeOtkCe32zg96FLLsbBk7Tpi193QTPttdz12RtpK400LDTkPLqQoaT7Va5Z+b4BjyfzespJ12c66eEe22wKU16pBv3xO1eNLimdPKJ8/pXj+hPLlC5qyaJ2NTJn2WmWG0jPJHYNUhyK2G1ZOxdKumFsVc1PWmDWLpGFZNGR2Q9KrWQYJpZVrdabDzh73h/foWBFFkZPlrZf7IlkxjxfkudiqSNFya2XguwNcZ4Atx8DqY1g9arNHZXSw7T6W6bUVVLIwrRSWqKlJEat8VstkN3R5MAh5sNnl/laXB4OIyLGoxpes/sl/Qfzf/TMM16PzO3+Xzu/8Pcw/Iw6mpNhKCpWWcu9TFKuaPK7bfqX0/nZcU8Tr12VfLPZO3zDPochGS5bDCXHvnH78MbdOv6CTzLjoW/z8nSGfv9Uj9IbsWu2abN/f4TDY5VZnj73uFm5ga5DfksW8PlFrEBuZOG/l6Taj1nLr30ITkH2q5lyqKZdKyAXStyFjmd+vWqTzIQOtCLi5jg1zwKY1YGD0vrHQWlRSMq3jtiRjtY4lOTHpel+u4w11Bf00amqwXiTzfXq6b8dXfU+/rlXRvqFJAfIXixk/mV7ws+mFHsu11W3g//2f/l+o/r83zPmb9i3B+T/PE+Wm3bSbdtNu2k27aTftpt20f92mJdJeXray9z99TJMWGKMO1nu3ML9ziHl/r/Wf/SvSRAb55VfHmlEvMvjPvniFqhWDrR4PPrzL7p0ttvZHOjb2htjO19+7lp1tMi5VrGOsYg3Yty5nBn0zYNOI2LQEtI8YGesK/2/R5HcLw/4asM9POB4XNBcD/OVAC9O9Ck544Z9Qm4r73g7f7x+y624RqC7j1OAkLbnIS5a1hoq1rbawkIauzY7IYopHusj82jZeZrF4YnL+EIpC0T9QDN/NUXsJl03KhcqY1C3YqmWca4H3WwFSAZKkGEB80L2Vp8E9YdWqmUs5cSmmLsXS0dLlZmXhNgZdsUB3GzpRRbCdEBws6e3HuF1Fs3D0v1UzB3PuYi08rKT1C9YyeT6Yg0qHiiqUSJ9rZQNJmhg0hUk18yhnLvXSoVo4NF5NM8gQrX5XmLuN2BS42LWDXVlYpa197CW/0EiSeZ1o1mNR7C1bmfUrNp7mtEovwIVfYUcZdpTjDRPC3Qx/FGOHK0yn0IxcQ96fFCAsFUwUTMEYg31mYsQCMJqorkG1b5Lu2iw6HQ3ax1nEcuyxuHRZjm3ihUgBCsu1XkeFEZa4/ZJOF4Y9i1HP0uzfuRsz90R1IGfoZ/TNAleYE7bSlgKhUeLZFbYjcsTyQdZJQMHPruj60oxv239zEnUtcKiBjkpZ5MoiVWILAMsaZpUA06KSbFMrAZ08BlLoYnfZsrrsOBHbdsCO42tQ/9/FJgBKI8y5tNa9Wvd6O1f6PGtEAl7OOfF0l/Ntva89FxWNACAiI1015JWAmaWOBSUrp2bh1KysmqX0wrBzKlaWwsocgqXXXpuph5U7mJmLKhxqAZ+VqBKI9HDL/HE9g07PoNs36A7MNjYsuptt9AYmnZ6pf+5XPmctn7PWHpZq3Vdpy6i7KBLOioRjlpxaSy7tmImTsHAzsCsxpNdWFq4pagEKy5Ligte/+09M0b9xLl4Vi/y68/RaHl8ELwTiEyllbcHQWm4EpU1YOHRyh27u0M+E9W9jlTJPuJB7kEsvBUESDnXuoAToz21qYdfmJsncJo9bm4TAa9gc1Gz2KzZ6FRuditD9BjBEJ6bFz11LNaz7lhmpZUCuXisrzDzHFOC3KDFz2a4ws4I6yVnGC5LlknyVUCX5mgVoaFaS+P36oU/Q6RIFPZnAqBuXqnYpC4cyc1C2T+MGNH6As+HgjkycDUv37sjCWffCli1jxfxpzexhxexhweJFoRPuTljSu5XQ3V/Q3RsT9MYa3K8rYTiKP7GUSYg6wtVYRL7bXitRYCDpXknWS581cHpp8uKhx9lDn/iZTzDrYwYK62+/xPnuMal7xuVsrO9RK/l+HUtLRuciHS0S0o6lJVq1TKv4cIsju6rpKaXhzCGwaRpsire167Lv+uy6Pn3bRZkOMxyWUkhTVprRepqknGY541IxrhpmMq81FolhkZkOhtzvVi524uKuHF3Y5kqB2MrWvb2U82qthqFVeQyxYNdKI0q18rWiYiGsaa0koc0HpHhjbRfTwpJtr6vdWmBEuRZVz0b1bZq+QyO9Buxfz+/tv1uzya8UdnRxizDchO0t9jNaxENfmuTtWBjnUizn24rQrehaFZ2mpFunHGQLzUo/SRyezmxeHVesZjl2mXLYnXJvL+fOA5vhro8R+ppV79zbwdrqYkyXqIdfUJ8+ozanZOGKr/yc/y5c8d87C47LRPsCC6POtTwdAsD6Vit1K37Uvum1fummT2gGOloZXBtX21M47Vj38nvabfkZz/Q5Pw75+CubV+cNYdiwcScnjjI+XyQsS0XPtfjhRsgPN0PeGwSaFX/VVrla+9RXfH5ekuWNlsx92ze4I9dtpVocas3Cryux/5GxrEVl3PrdS0jhlB4LgL1WYZGxRKvOohV7Kc2GQlQOwgRzZ4LaOcPrxeyELu/19/jBxlscWge/Fpi4agIKnzxPePr5kqdfLHn+5Zx4GeN4Fbt3FG9/mLJ3b0bUX+K44jm8ieffwvdv4bo7utBAz6nN67WTBuvzNYAv962r/XnDMhc/+UvOsgnpssCaupgTG2Nqw8SiXraWGNoaSclU25CEjQbv0wiKLpQdhb9hEm0ZdLZERVbR9Up8p8A0RPq+tcf4Tvcuh8HbfPoy4bOfLTj/NMF7UdM/FaWlkqqJWXaOWfVOcfoNm0aH2/kBD/pvcee39un/tQ7+Xe9XANJainpOc9K4Wkete1EnuNq+HotqQfx6fylyD9c3TbCkdk2K3wqDUIoLpMintrCTtVqMA2W/0VH1oRIFqvW/FVBfO0QVDVpMqoSwbBC3FlesJ2qY5DCeNxQlqEFDdq8iHtXa0kTmGqdR+HLf7xgMOg7DrsOo57E5dNna9PU+saxoLWa0b9T6fvTGWFfxrEPbJazvwXruQhePPltmOh7OV3wymfBquWJVJKS1FDqPoZnQqDF+taCTx+zg807nNh9svs3drUNube1zMNol8gL9LNlYBkmeEmdJG2lMvFoRJzFxsmIWLxincybZjGmxZF6uWFQJS5VqZbSUgqgseXec8Z3LjHvTUs9vUndnSX2tb/LVhstX2x7Ptn3KwMcTr3vb0XL0YscjBXUiG6bshspSWu3iClBvVdYi+pbY3HQZ2T027D6bTp9Nb8C2N2LX22DTHei56d+0EKGpa5So3kgllfPrf59cp0mlODlZ8ek/ueTFP12ymKakd1csP5ozvT9laoj/94p5dsEqPSUrxtQqbm8Yltmq5ZlSWGBjmlJk1BYciaWYI/Oy4esIG4+o8ejULt3KoVfaDDKLQWoxqhw2apfN2mVkBURuRJy4PFYNj0yDxxY8NsXSRG5SJnu2yQPP4UHgct8u2X3yx5Rf/ESfm9Hf/B2i3/37WJvDv5CCjqsm9+WL5YzHkxc8Xrzk+eqIF9kRx8UpwTzhwy9mfO/xgii3uNja52z3Q2r3PbrzDfrzDZEWoVyJes1a3kUm+LZS6XoslgyOWOGJKp0tX2WD57b3pHDTIdgLCG+HRPe6hPf7uHuBtsL4t9X0+aTzBC1QL+D9FXAvMVXL6581MRiaPQ3Wa8DeHDBa9xI9o/Mnfn+/CuK3fQvgL3QvIeWVV01+25Xn/Wvgvve1sQD4UgiZVBW/mF3yT58+4v/w//i/Ufxf/5834PxN+/XtBpy/aTftpt20m3bTbtpNu2l/lZv4nKqHx6gvXlF//pJmstIV3+aDvRaoF8B+o8tfpZYlOU8+eaHB+iefvuDiaEwhbLc1oDPc6bdg/cGG7jcPWuB+uN2/fjAWltC0STVQf6kSLtWKmUo1gC0J0qEA9pKsMQIi8TUzHO0pGnxL3+i8yTnNJ7w8X3F2XhNnNVN7xtPoOV8Gzyjsqk02CzPGdOhY8rtdMSJGZR1U3sGohVHk4To2tmVhCMtWtF61tB64qY116WPPJeHdMNyPGd5fEIZVK0EqbLKmh9V0UMplWpecNysulXzulLkqtOevyHVfe0uWBu4iwJn7mDOfeupSX3rU5z4sXe1BLtL7rqswgorKK6m9itpqhSxFdtEXT9fa1BEpk0j62sReyycLklD3S1Q/18x5u1di2CLzB8vUZrpwmScOpTA7tEV4g98oepai4zQEvqIbWPScgMD28R0Hz3bbYyS/Xj6KZMfL1yGeuwKokrcga3ZRk2UtMCOyrUaocPoJbhQTbsb4/QQnirHFqV5Q/6IWg1qM2MCI1z73U0Oz7o3MpPFNyn2DYg/yfUVxaJLZDsnKIVs42lt2tTCZLwyWS4PV0iRf2uQLF6Nu5dcFrNGW7m6F0ykJujV+UGO5tQbxQ69g087omcWadSyevWtvdlsYOCLB3EqMt4nW1jPheru9QvQZLqBaK/G67oUdqL8bkb5V2H6J7VdYfoklCgdiS+ALw1ZE5EV2UaSUW19g4T5qSXjJWTWiRiCgnYNjtIm/SNtGSOIzomtFOI2oVYixgo+Fq8GLtpZCzoH2XWp9g7U9wdfHa2BhbV6hfmksPolVXlMVNUVeU5c1ZdFul6XS3uplVeuEfVm3+4q0IU8MstSgyKAsLKrC1MBtJdYMhamBXCkmsWoTR7WS2cLIFt9E66pfA2e6rueNhLeeLr62r2Ui6/1vUsbXrHPHX4PtfQmDTt+kJ9LXPUP3HQHj+98Muv9FNpHNn1SZVgo5LxLOs5jzNOE8j0nqsi2G0Zr28tNrduH6+9RpLv1Sa0KvgYx1FU277+pH23+v5yONi7TgyFbjsmV5bNouI9sj8i0qX1F6itKVqCmcmtKpKKxWZlosAuRsvbIJuFJP+cbPNrcpX3RRL/pUL7sULzqo2NHfp9+r6e0XDHZLhlslG8OaSKxCEhMnNrFXBvbKxJV+YWCXZjtPanS1BWzoWAgC2ATaOBPltPuFNSeAiCbj1uJdPudodcF5OmGazlkmS7xESd0Oe7nHTuGxkTv08pb1raXwtW0HNJaLcgIqw6dSPrUG7kOUF2BuhDi7Ee6WgzOycDdMzMgkXTQsX9XMHlUsn9f6d9mhweCBTf8t2PoQ/JF4ipjX8eb9T1+LVUUjEux1hSrLdS/M1pK0zLkcp3z1ryq++sdd0olJ2V3hbOaM7pU4QSPYhE5q27aAyWLB0mjJb5FUFWlVDFGfaJnWZSNqLLpUQxd7taD4ldx8yx6X4yn4t3zbAogJ8G7mEWYW0qQRRh5QJj7FyiGPXfKVTZGbmpUpZ1sl/z5UqF5N1asoezV5ryLrKdKu0kzFLBKf9Fb9Ys+C+57LO5bNKM7IV0tW8xmXyxm152JGIX6vjxEEmFJgZ9uEps2G6TO0PYaWS1+AEiwNCF/ENrN4DQTLH5GCA8ensb32OzYdjQ3Ira0lM7aAcbvdgsOFsO2FRZiWem1UVXL+i/R6jbIaAtvggWPwQdGwu0gw05JxbPLFONDs8smkwqgrBkHK3eGMB/sxtw8VbsfDjLwWrH/7oC0UeiIS+I+p1SV1N6buiV9NtZbHuJLJMDHsAMMJMZwIw+9geBFG0MWU8CI58aiIyDKbNEZHIn3SjnWfgOtCt99GaTU8uVA8PZNzBd67a7B5u+RFnfDTi4TzVYk45HzHcvlu5fD2ysKeKcppRTWryWcVr0yDp6HJs8hiIgbxvJ63ZZ0l03NbcyNs7zdxTQH12l4KKiV0sYQlHvFSOCHKQ4YO2Rb1hDhWXEwrzuOKczMj83NyP9fFToFbsGU53HK7vDvY4uAgYntgsxmZ2grh17X5uODZl0uefL7gyWdLjp7GeEHO3e8sefvDmO1bM6JujRd4eN7BNVgvrNh/0yZs/GxSk40rsknV9uN2e3ZRsDgvSOa1ttgRWx3pE1uRdyDvNrrQUUCsztBm8iyFpyXhpQjMlBTWkmX/mHx0xuhtn4PuiP2zffZO9wi9gN5HEf2/3iF6L2gLod5oAq5/+sdjfvLkK87zL6E/x5D5spaJwcSQ+7ch/u82jtVKNEtBiWNbei3pyHXqyLVq4Zs2fm0SKDQY7ysB08HMG4y0xkhqjNRicWYxO7WYnVuspraeGz23ZjDKGfZzBr1Eq1QYco+Ui1XfKNt7f2v50sq9y9rj2UWHz150WKYWG12xzbFQtaMtqKTsRy4r266wdNFmieeWeF6OH1b4UYPrtxZUErb0nqllwBvTbOfHtf3C1fh6Pn/DhubNbSmgeo7BMxOe0fDYaHghtg7aCkTRM2p2KNlpKnbrkr26ZlTXuLX8PVE0qVk1eQvLGTkzI2NilkzNkpkUKlo1MQ2psJq1EoWUiIrNjoerfB12HWCLgkblIw5a9y/PcOuK4842M8/VKh2wQiEFBCsqYnJjSdEsKRAlh1YxS6ZUue+KipslqjihpdfvyjeoRZ3AbagcKbSS9fTX7W5kjeyIIgqOfhYUiyKxKpLomiF9M2RodRhZXSKzVVQxGrEs8mhwUMqhMqS3SRq0WpXEoipZ1CXLqmK1tiQQS5Loic3eJx6bz1xdVHDyTsqr76YsdqrWksoWpQTzWiWh6zh0XIdQlJiMgsxOmVaXLKoLjEYUsVKGymK7tBnlNr3YJEoM3NrQ1jKxmRO7FbFXk3gVsVMRWyWV3bwu5tCFToYuUth1N9k1RuwyZKfuY8YB8SrgbOXyNKl4UpRaAUpuWHezhP/g2U95cPQxoWoY7n2X0Tu/iTUaQehCx2v7yAN3LSlzJbN0tea4KrL6pf2iUfWiPNXxvDrleXmix6s6wc9q/v/s/dmPLEue34l9zMz32DJyPetd69bCXtnD5jaEqJEGLQhDzOiPkJ70ImAgSHrXgwQJkiBBD3oUCIkCBWIGECFAjZEwGnJITJPd7GZ3ddW9detuZ80t9vDdzYSfucc5eW9Vsau5dbUm7cCOuUdmRkZGuJub/77b2RY+zMe8s495eFNz9PklSTjm6Nt/mdGHv0FgMtjXkFe9Aj5v3s5xcm1tFI3TNGFEY0JqE9FIBB59l3ueQsTzMsetW6rXDdV1S73qcHLvOMQnidNcNjdkpxHpg5jsccbo3ZHfz44DstOAbB74+JE/iyZ2+gu75nZQ3t968H7lR3l864+hvkmQ2bGevQHuD+D9iZ55Bb6o8v+kWoms/SW4qwfsBazf/MS2dFnB320x2RvAvlpZ/sf/w/8Z/+T/+vk9OH/ffj5w/ssvv3xja3/f7tt9+8Vrwq6rqspvx3H8Z8pqu2/37b79i9v9+Xrf7tu/QUX99Rr7gx6ot59f+ptqLaD2d5+gv/cU/cGFZ+L/Ip2vXr2+3HH9/Nbb4V9Lf7Hw2zevlnRSuR5suk8fzj1Yf/74hNNBbS/70/nY580uPVD/VmG/dZVX2N8tzqQC1HvAvgfte/B+APCH7btW+fL6luuGl1clr25z9nXDMljyYvIVm8mSLhYL9paChtw27LvGZzE6q+k6Q9dqXCcKcgE7I1JvTWmITEBAAuUIiglhMfYqcxN3pJOScJxjteTadxhtibViqhNmJmMuDgF6womeMlGZvw1+7XZc2h3XnTgLlKwG8D63/TvgSo1dxaiblOAmw5QBRoAP+aL3yBc7bAnqlAKYKKoGgcEgNBDAalT3fVz1mYqjWjOupIhoCSY1gWS3z2q0KO3fZNIqr+JsSuNBFJ8nK8CpWP/KLxfL8NARppZMFEWTiAdHIx4fzZhPI4JQgIG+ON7bbEv+vKX+oqD5tKD6rKDeOSoTUR8lNElM0Qbkt3igN4h7oH50umOcromCNdrsUV6+3wOLpg1RRYjZaNRK1HcKlUToiwnm4QTzeIp+OEXHkbfLl/LqpdryhVvwaX7DV6sdzcYQblLG6yOK65TbW81iaXE7TZgHuFJJDPEbINPD7AJIDdm8xlm/7Z/d77/92psSySGRQBTIB3D4a/t9xvLd7gsUw+MmsASxJRQXgrjzAL4fh20tXbLAJeM77cF9ncr3tF7dZ0LJDZbn6oufQigQ/wpR37auL4Adxroz1NZQtwGV9CagtfK5S8FMU1tFJwSOAwNhqKSI84FYT6s8wOT9SNHbniuJVBCgvTRvRvnDvULV1/qUB/jCseTNOpIJxFNFMlOYVIrHcp625K71JWCJz+hDkfv3KjSakQmYBIHPRpRxEoSMg4BpEDINQ78vSs7e/r3/ffK705Eo4TWx2OX+2573pX4oIO8wHrqAvgKy+/Hu9/jHh693cu4pxg8U6fyt4v0XrYndZw/UC2jfj6uuZCN5HV52bP2jAuyXtmGztCy+0iyfBay/Ctl9FdMUfXa5mhfop1vMkx36yQ71eOtdP4Rc0ouqHFaAoCYg2c+ZLi6Y3pyR7RKCSlwSLGHnCCwE1nnQT0gZYaIJYuXBlCDuQfuF2fFarXjRLXjWLbjs1v6Nl/nzoyLl6T7miQD3VcRpGTAtQO8qWJUSIP0GvPeKWBPT6YROp15xL8C9GmfoixHmfEQdpZS5Il849ldybCsu/lLEu78VM3rwr2bTKpbQ/5///Zov/knF7CPLtq68OldytqWLSlXGNxXRtxvDpgDP1hPrfDarxJQICCFAsID4pvVgfiBxDKrD1ppa8roLYUcM57iAK7ElyToScYNJO99H0oX0FbdMQ4vAKWHjCMUkohHFq8PI2Fi0OGV0lpuZ4cczxQ+n8MOJ5qtjw/XUEQc1ma55Gmrm+xq12rG/vuHm8lXvLjAdM338hPD8nHKcopPYg4SnYcqHyYxvJUd8GM94hwhdVNS7PfV2R1MU/TQn1spJhg0CD+bcitvFbsXtZsVis+Z2veR2s2S12/lzVBHhOkPUJYzcEUkzZT9OUCfvooMQV7/ivWjH35jNeL86ZloIWSHgk0XCD19FfPHSURZCmHCcnXR8cL7h2w/3nAixLgSdBiQPJiQPjgh2Lfr1FlfXuLbAdTldK+pomTs1OZrCBhQupOgiChtStCnl0DsrLJXe+lwmVcGCElnPxJ3Ha7bPDE0b0+iQxgW0ckEPtI8H2GjF0vRq9aO25d1dwVgVPJ/X/Hjecjnq83S/ZQN+xcT8yijl+CgkPAoI5saP7ai3Kg5N7/7zp2kyNx4IBEImKIuvkwqKvfMxT2HkSDNDJMYeRcd2XXNZrHjFkqtwz8ZYyibx1v5Rm5CQMo9Czo4M56cBF2chp2PjQfuTkWYUfd1OW4DpL3645cff3/DjH2x49qMdk/mWpx9t+PBXdpw83JCODKPxEUnyDnHyxIP2WnIX/g1cW/a7kttXaxYvt6xe7Vm/Lri9atjcCDlC0W3kGq3ZJht2s9eos2se/eqEj777lHfzpxx/ckL5wx6cGf9S5hXyk1/P0PHX7yVuLgt+5w9+xOfXf8Rm/BXtu7eESUfaBjx6PSGQhJHWoWvnz2E/VmI93wPtWjgS4kotBjGFIiggLA8LoJ/yeYtKPnW0SR/DklQhSRmSVAFhlVBuj9gUE9bFiF0huTJCam2ZjfO+TwofqSLEgn6NNfw3fJSybn52M/K9aTVNp2nluEfIOcbPAxI/4jqxKD8sCvsu8RYmtN5tKYxl32FkO8GvL8IYwlSTjAyhkPz8+kVWYn1OfD/nSua17Z0jakvryY0HJ4CeTHsTwmWoeJVYno1bXiaOTWCpdYPVYrO+90nzyoVoF6GdRDL1sUwCcgcHm/jBbauPvenfc3HuEtA4bBRxq4isQkIb0jggjYWgFqJrxU5bts6yoWOlWtZKnKpkju67f7niZSJkgbYjsg2GGuNKuanB2T2229F2W6pmRdtsCWyFCivqUBFOxiTjGSbN6KKYLgxpjCZXeiAUKEpZw7oA6yQSph+dZ+Ud4qa+PnpyhWqJVOevVUa3Hr4fOZhtAy7++Ij5D44IxbnlpGH2nZxHH9ScBxHnRFyIhlhIxXIv7t0QDo4Iwyj7EqmzLjzQLK5DL+MtX6VrvjrK+Wq856tswyqUg91ggoDHyTlPx495J3vIO8kF78QPOA372I3a35fmfW8LNs2W19U1r8orXkuvbriqboac8z6X/Tw+4UFyRsKcrp2yy0cs1gnLm46/8IPf5Vd/9LveDWfz3q8QfvSXeT8Y8X7RkAlIPnxub+YRT9iArer4Ilzz43jBF+GSZ/GCF8EtbbNmsmuZ7zoebELON4bjLcz2LZHH2cXtR7GPMpajI15cfJvbi28zimImkSaR/Ho5N1JFkDiCzPn1vjByVNpRxR2lknvhkrzrs96LrhxG2RfXo7cK8DdNYnO2KfEyIb6JiG5DwtuIYBF6Ur3exiiJpOr6z1IPTgdmqglPFdFcE88VybEhOTEewD+/mPDkwTFn0+m/9fpn6WoWdwB7AfFvBwW+7N+1zI9V+EZ1fwDwM5V40YB87TBG0mVPvX38m3b6DdUA2B+A+7fg/e3+NX//P/tP+D/99/7ze3D+vv184Pwnn3zCRx999Gf9ku7bfbtvP6MVRcFv//Zv++3f+q3fIk3TP+uXdN/u2337Ge3+fL1v9+3fTnNljf30FfYHz3pV/abwFoX62488UG+++wQ1G/1Cn69CDlherXvA/rkA9rf99ssFy8t1r+iUG8k0egPWi+L+9NG8Hx/OMZOQvavJfW/Y27fb/dirie+2SLKZ9VvA/qC+j7qQ8lazvOpYryx142ib3jY4iQ0XJyFPHoUcnTi2rmDV5ayEMNDs+Srf8Szfclnv/eOFyrFB7VVVUrj277d4ChcRQSvWsRljNSLVGbFOiXTi1Q9Wi9K9wXkv3L4W6GF+3WeMi5J/omOmYjdrAm+FX+mKnSr6hDk/VhRd5wXldSkKY00rxUMB0r1y0WJFqWIcyhwAWfl9PdHBlyNF/e3LJpq0DBlvY9+zbUSyl2xgye1VjJSMQxa1AImqQxmxfB9IEwcLeylSlsZ3AV5tpXsAttGoVnur/kAbr4gStdbx90Ie/kqAHJLdy5r605z60wK7aVGSHfpuinqSUY9jio1if+3YX8P+xtHkFqMrxuEN09GSNFkTRHsY1biRgEWDWvjAUBjU6/6DksBxPwYokY0qKbSKxbLYm9dsTNWrVUSp1yU0TcqmDtnW8veFhAJimJRGi0o27U2PB6C6asUGsy+wek1ybz1AZCyJaUlNS6IaUjoyLCPXkbWWSacYy/tdw6uvbjwJ4sH5+2ib0LYC1iiqyvnut2tHXUMpo+RNewtgH9VMPYw+K334gMSOvFXOOyz0jIFh9MD20IfC8oEscLeJa8RdsUwvxuyZBl547vM/hcARYNtDVvbB/l95NVk6caRisTvtgblY1ITjlmTSEE8aonFNNKkJ09YfYxLBINaMog1rrShgFIHNiNoRYTciaMeoJqOuIsoqYlcZ9m3Hvhb1U+ttF0UBJaO8F6Lc83+eVSQuIHMBqQpIMX5frLuVEAW8nG14C7zbRP8z/n24+9hP+b5+fwAU7n7Nv+Wi8tcex/R5owIiy7HysyNs/9RN1Hnjcxhf9GC9H88VknLQm1g4ms5Ryyj7b7adV1gdvqff7kchY/Quvb1S1Xxtu1eo+vGb3+OL/Q5Ju165klVX+VFiP5ZdyW1XUnjkurej9vVgfyhqtBOHkF5hKY4WrhOilMYtjKARqMsQexlgrzXiyim/Lzq2ZI9axk8apu/UzB7XmHHNVXDJlbn2hetxe8RJ9ZB58ZB0e0xTOJpSCGyWpu573fbvkfS3APWg5jW9LW8RduRaYksKGlFDB64HquU65ARcFhKZYdIqzncdp4V0x7y0jPKKZFOSrEqidYEpW5TUlaXLsaFjbJTSRRkbe8KqntMSMD8refzdgqN3HXosTi5Cenprkdxb+4u6Tr72VmLsv2ewWRa15u/8Pyyf/o7le38z5PSxEIg635uuYl9v2ZZ79kXRWx+XBUVRUZW1z183tULV2oMyURv6LnEnWtxHfGa5XEsDsRFAEkDGUTv0ph/DllB8kOXt7PNjUKH0YJiPxf448POz344P28PouzgJKLqrLd2LFd2LJXZXkXcdGyxfzQyfH2leHEfcnGiuT1pW04LYVLBdE69LuCqpXrZ0ayHynTLO3iUKHkA7pdnFOCERiWWuZHNb53N+Vdtiut5KV0rXke6t/w/EEzmG/TThM+4Dr/4NhQgkowkxwk4bmrxL07Rm3625TWqKY4kx2bDd/HNM/iN+dTTmN48+5EN3RmZSbqsJn63HfPrMcPlagDqZSzUXJy3vXZQ8Oc7JwgahrngloTNveufjEAYAcjikPSDlukFz2GBcQ+BqAldhXOXHwJUo29CUMZ8+e8yPXzyiacVtyFLWIU5cI9A+YsHKuR4qVKgos5DNKGSfhj7OYWYsJ3Ldm1Xcnpa8mDS8EgKZcXzoLL+pWv6ScTyQYzYUh4u4V2+OY2wWUwYxhUoouoDdHtY7yyq3rAvLprDsqo5taSnknKWlsZZWrPGtOIT07ERxFBG3lrYqSTQ8nB8zC1MmQrhsQx/zc2itECJbAcIKDwiJQ41XfEtERxP175jg6LG47EgOuZh+L9iWL3HhFXG0ZBKVTKKWURwR6oh8rdheO1aXHfvblsfnlvc+sHzro46TE0eShqSjC6LkCWn6Dln6kDRKfgL8kTVNWVds8q3Pr17vt2xk9PvD9n7LOt+wkXG/pWnfqlAPbZyOmGRjjkZTpqMps2zCh4/e47tPPmJ+fcTmd/Zsfm/vI2LSD2Nmf2XC9C+NCCZvj2EhQH3/k6/4/o9/n9fdZ+QPL2EkgLDh4e2cD3ZPef+LGfEfF9jlQfF5UN6K85CGNEKl4Zuu09Crd11qIDHYNMBm4oykcJmiyxQ2FZW1ow2EtCorhJZVtOc6XnET3LBi6a/Bcr09dsecunOOt2dEn8yxf5yx+UHH9qveaUZAt/l3Qo4/iph/KyQ90f6exV+M/CiROg3dq3U/17zeYK+2tNd7mmVFK6C9kHiDiCZNaeKUNkipVUzVxtSFodxBVfZd1maldFH4yr1H188ZHnIXoqBRPgrDkwaFoGJUTxYTJX6qCTNNnBnisSGRPglIpwHJWL5u/PeVxnLTNbxqCr6sdsQYxkFMKK912/Vd3BSWLc1Ni1p2xIVj7GAkALyWqVghUec6FVJk/3qskFN30GwU7b6Pq/qJNhAc/BJIXKUGlbw3TJA1qHdGkfNUOtRK5itHLWtT33sHqlZZ38uopUz7vk8b8qSmSjrquMZGDYkxTAk5UglTHXviZRIYnGnoVOHPzUrvyM2WItywCzZUZj/cw8jfnPBtnvIX1Du8e/ku3fenXP9YyK6K93894tt/OeLkoaxsZZK/a69+Z/xZj8mxPE1hlgxj6uc0uW4f2rbNeVa95svyNc+qS74axkIIiw6OXcZ33CM+7M55WE853mSkK4OpLOEoIZB5Utxh0pg2NtyYHVcseNVd8bq95rK9GcbrPrJHSLlAxoykyvjuH635pX/+DF06vv/ud/kn3/0bxOcPiJVj065Zddfs3DVld01WvOZof8vJruZ023C6VZxtNSdbITrKexSinGGXjlllEzbZmHU2YjMasU5HbLOYLpBrRkdpHIVWFEp5l4bWhZ5cIf0Olblf0zpxcXCePJHgyOT1O80YuWcyTJxh6gJmLuTIRf7ztzNwU0c3cnQTS5f180XTtVSupbYddVtT5wXNvqLZNHQ3Frt02F2A2weofYQqhqi4IXJnWAai5D5aCGsnHemJYnwccHQcc3KScTEf8fhkzIPZ2JPbvnZs+ByWb+x3d+YbaXINjPr1kB/lXtWP8tid7eDrLkrS9t6V76cB92sP6gsp9udpUhN4C9oHxEq2gjeP+XHY3q92/E//4/8JN/+3e+X8ffsXtHtw/r7dtz8/7c8aPLhv9+2+/fzt/ny9b/ft337z6spXyx6ol8z3Ly57IOPhsbe/N997gnrn/Gs3/r/o52vbtNy+Wn5NaS/j9ctbNovdm+/LxiknAtaLyt4r73vQXvazSf/3NK77GmC//wZ4L9uFk3LQQd4rCp2QOE/8TbfdBti9QdyhpVomhcNRZjg7Cnn3QcLpNCbwd9p921YdLzYtz9YVX+x23m6uC0uSrCZKGoqy4HK/49KtuGXrVV1ikxt3EbN6xrSZMm7HXjWfhTGpqEHimjIpqMIKG1q6QAqYcpucoGyEs2JkJyBi8CYbVTCXiRFVsHTjixZmb2ElshqL2fWgYTC3BGcd6qzFHTfUSiwcSzZdxVZAmU40yB1WW28P25mOwis2RCEtBcuIpguorICwhkAKJi5g2oWkjSES8ason2rJ9ISwdcTO+qxOLwQaMnnbxtDkAXoTES5jylXEC2t5fVxQnlQgFvujBm1qjKkwpvQKpDALCCYBwVTyKzVBHhAsYsKbmOA2wtzKdsD8tmFWFRx1NRNbEarGA9FSjPMqfynK2QatGkQkaGNDM4ppspgmDekSKXo4bFRTTfY0o5wmK3zWt9RjdBN4g4Ie7BDFOexdxI6InYvIVUR3KCGpjEDye8VhQdQYAo5p7TNi88ayqYRc0QMIb4B8UaSWOw/mT1MBQgQEsr11ZhSQhQHjMPJF/7GoTuLYP5YEiljyeu8Ua9rWUZeOyncpDjuaQRnr60B+7Pe//lj/eOcE6KhpbEVtKypb0g77AmC0tvWjV9DK32CliNwSj5q+Zw3xuCHK2t41wb+qXpXZK7Uki9P0o+Rxiky5C7BFQCuK221AszXUG02XC8DocOkeO8px2R432uME6R6axBOofOS73meoYoQpR2gJ3y0yujLz732jLY2SzFOxX7dUtG/z1IdCuXcVGAgKvfXsHWeDg93sHfeDzrTY2Mt8/bGrxD43bPy+k246AiF2FCFhaYjqkFiATYkwEfVr1HcBt4zs+96D6ibU6EhINmAFkJDjWcg34ljh7VMFdNJ0EoNxm2BvEux1AlcJrox9dEI9sjQzS30kebyWemaxvZjwa03wkkhL5nqvXhV3T7GNdncAdOneNcPXF/sohJza91KsXPXQVUWphTb19jOKXEgiBVQ7dBcTCIAoIIsQMoTUoq23VxfyjwB4vhAqpBL/mYhauy/cH2zy1SKgexVhXw79MsQNYFt42hKdd0RnHfYspz7bsD9Z4pKaWGku9IzH+pgn+piZ5G4rTSwEIiWBDwpdgNpY7Maitg636ei2YlneUW4bbl4vPTAZTyds45bbUcNq0rLKGlZRw8Y07FXrLdtlvpCsWSlySsFTbJ1F1RjXlkneMtnXjHYV423J0aLhaFkz2jsmQnTaHbPJL2hszEhvOAtfMUk2BJFDy3XCv1++kv0mhkIA469t+wgKAS0dXy4e8dntu75GfKAS3VWoivVwH/OgvdOJB4lC5YloYtUcRYYwkggORSBjLL13HQgSUT+Lulz324kZtg06MQSpwWSiFux/XqxmjT/O+2O/Hw/Hfj/+i9wg/NpoU/bg2UsB61esv1jz6vMdN1vFbROysDE30YhtkJGTUClDFYg5f0PX1TRmSaeWNO4G4h1qBG6cenC4HsXYNMGEYr1tmOuAB0HK03TCt0YznoQTSUrA1iVdVXgJt7zeIIkIs4wwSwlTGWOvTJX59eWXHZ9/0vLlp5K9LdEEEmUCO3F/GNVofU25/COuq3/Ceaj5bnLBL4dPOI9mtKQ8r6dc7454+TKgLHvF4cm85XxUcirON6IifJPRK3EJMj9bXGu9TbC34/dqYEUjrjjNMNaGRhwPhl5K/ECZ9kC8yJqjgiRqOZnWnExqpllHJkpHbSjbhKoOKauQog7ZFxG7OqSyvWrSY+9y/MSKJlCsR3A76biZtTQj5zH5xwqaSkSnQnQT8lD/fokyWbAlT8SRadYbNSi/LaOWx1rlAUhPFBJB/+DC0pOE+niezW6PUBh0GL+ZlVSIBzezsWE8MUxHAbNRQBQbbGTZBBvWZsVSranFHaeNsIuM/Dpg79dXCUbHBCbFaUOrLZWpqYKKVq993EBjX+CaK2x1Q1tdkVc7qrqhaRzjVPHBk5gP3ol5/0lMHGlPtnt+1fDq2nJ1a3Bd7GHoXbP3KtrhUvpmzMKUaTxhmoyZJVPGfpwwTadMkxHTbMYsHTNJJ0zSsSeMyHl9cJyRw2X3B3vW/2RPt+2IHoReIS9dojgObb1d8bvf/z2+WP+Qm+kL2pl4McD5csrT5iEfjJ4w/9xgf+8a+6NVP6c8nWDfGfnzX4AmJ+ivXFjerFe+AcH8aSCZwzXZX4hlXeGtmTzgLVQpuU40ErEic7BnyylvB63LmPJlSvE8Zvc8JBeSlxOXHjh64jh66pg96Z17/DwYh6gkRAuBKAn9vic/bSvsco+7zbHXux68f73xcWX+5UUB6mSMy8bYKKNzQvZMaIqQetH6WAKJAvK8NCF4yhioPm5FiGCe96n83+PxvOE6/Abb8+ex69X1rThNWZrK/eRbKus8Ud3Xzju4yLY82cCd9CQaWX45WRPLeycuL2K4VsmaV0hyw+Emc3HmiCaQHEE8EnLeECckX/euPoPTzzA6Gd+4/gykRBk9j+3tQSwf4XCrMPx9PdlGrPCDKOidggTa1ULHaGhk/Sn+O6HcM+1owxwbyxzVkI1DZuOU40nG2WTG+XjOSTT3Vv3yc5K8fW1XfLx5zeefFRRfpJh9RHGywb234cF5yEfBEz4K3uHh5JhwGhDMAoIjQzA1BDPpcj9ivCvYn7bJe9LtO9qdpbiq2L/aUV0XdJsCV8iKNMcFJdY0NL633AZ7rnXOrSqoW8uMmGOVcExCRvjmXChUy0KXLE3Bwkh8QcGtLrgyW3JdUKuKRlXUqvcwcl3JX/lRyd/845pR6fi9d8c8nxtOdg1nu5azreV434PkEuogC9FdlrEfZewmKfk4pZiklJMx5XiMCXoimkRV+NHHV8i1M/BRBrKfEJEKMcrKmAxjRNxGSLZB2wWelFxaxc5atl3r3Rl2tvN966Rbdk7iGrqvTRnesUGOXznG7xBf/dQwEMh6Ipmsq/t9+Qy9WFyex2fWCOtd/PT7SDXXyO8Qlw+Fyh0qB51DsFdEuSPeO6JcEcjXldDVhLbm0HIPNGoZj1pOEstpajhPAh4mEQ+y2Lt1eZLigUzpLQqEXT1Euf1Jc99PA+0PgP4B3JdRAP84oI0UTeioI0sd4scmcH4t1OqOykkMVeMjqe5ue6crV1MLsUEevfP15X7Nf/L3/1M+/R/8l/fg/H372e3e1v6+3bc/P+3eJvu+3bc/P+3+fL1v9+3Pvrm8wn78gu6Hz3xevdtXqDRCf/vxoKp/jJLi8p/T81Vy7cUS31vjD/b4AtzfvlqwlUDYPwVwf2gCIApA/xa07wF738XSvmuoCku+AbeTgNIQLVbconwVbDCxxGPIJKdzbJhkonQPSQjIS81yq7jeONZ7D8MwSw2zWJPF0IQ78mDD0m54Xa15Wa951a7Yd9VQfIZpNWGaz5gVM6b1mEk1YlyNSKRINyqosy1dVvnivRIL+WlLNi+IwgNk3wM+d//pfYS7islvFNulJW8byrChm1d0s5Zu0lDHvZ3/oilYNDlLcQWwjWfFi5o/MoY01B4AFoBGirpGR2gEWJOCY+QB/KrrgXsBQEX1GtrAg2RRYxhbzcRqpsoSuZqwErUOmMJg9gF2FbHdG57lmi82xhdnDoGcAj5FSU0Y1gRhSzS1BOeO+LHDXHSoWAC7AYSqoNkqNk3uiynHZcgvrUa8t4y5WGiSmwa1E8vfofgiAKsUQ/ZNX+QVZeaDMTydop7O/OiOY9Y65ytz4/uN29A0e5KmI6ktUe0Yl4qshqyzXl0p4L21itoZNi7suw09gL91MY2LUV1GRsRIi4LbeFBQgFHBIYNB8Sqg8d6X6uQ4tZSt5MYOEuOheatOD3RrD+JL5IJkYApo30cwKH8MJYEexn5f1FF+329rXy//l7VE73yhphxejxBK+sxvOXekkNp628nKA/uNWFHm0iuquqRu+q91d1Xk8rkImSEIcJGmiyWPVPfHnUoJVEKgYl/PQtd9VxXWlPRa7WLouZQTffeAmeSoMiZWI2JGxGo8jCP/mgUAEcW+WGSKCiWvS28jum/EQrP29pl+DhF7fbFf1x2lFmC5z27vSRY9EBRXjkhIKhIBLSp0A5Uo0OQlCwFIsnOFsNNaUlHCNs7vJ40lafG2672SfyC3DKr/Q3avqMr9tpBnYkd91NKMLfUEmjE0o4EIUcaoPEFtU1glqH2CKsUvICbNUsaThNk85eQ84/g4IZDw8Z/4fJ3PZr1qS67agutGxpLrobd35P9zyaY3CSdBwrGWTO+EuYo5MmKKa+g6S1e0uNsSdVuixZb/QUZ6kZJNI6JvkEzuNjmnBez3ZXlXU/LWSWXvI0Aa9q2A5pabZ5rVM0N9lfR9Kyr83jTYTmva05ziZEd5sqM9rgiOBXQwZCr2c9/PasbnvQrIrtHW0ojdsKjtG1FjSSFXQAn7BgCRj68VIoiRgqilkdF0VLrzWcAH41+Jv4hd4F0cEmd8ATtXYhss51Af4v7R9yf8hd85ZnYdQdqij0tSsVFuhUDRUQc16+mezXTHdpKzHe/ZjXPasPFmGaKizMRVhoDUxkzDMZNoypEAe9GUWTRhFkzIbOyjE8TmvquHsZEO3WCDL6Psv90WF5r+62++dyiSv9n+E+rNP6sdgHpPXJGTWa5FM4OZaVTa26qXDawXjtXCUhXD/Nh26LZlFFTodkdYrUl2S9JuR6ZLJhL98TCgfhCzO1d8Nt7zu/VzXugdwSglG4354OQx74xOSMMR1oTeSllUqa/qfh0ibjcfJDM+TI74VjzlfZUyrhqaPKfZ72jFX10mBS3K1xHRaEw8nRGOJ/7hyxcdn3/c8sWPerB+s3UUtYWxIh3DRbdjnH/GVn1KOVkyouNdNeMJR6Lr53md8qqYslzO6OqUQJgOf0KTHHZtD/biFgqLkqgHUe4KUBAH7HNRM2pOvmX48L8VM3kYeGLG6qrh9WcVr364Zv18iy1LQmpOpwVns5bTScdpVjELS6w40nQjbu2cjZ1S1wFdpbwLSlsb8iIgLwx7p9krsaceXFgGQF3ONZ8rH0rWvWSIW5LAEiuhKLSktiGT0XTEgSUMHGHoCMaGbhJTjxOKNCaPY/ZRRKf7694oluxpxarqWG5bbpYNi2XHbiP55aALRVorklpWOUJSktebs63X5E4cehrUvCacOmZpxinHTHczbJGQ15ptIwS8fk3kAVWZQ4U447sQIMVJR9xzGlLboooKuyuo8gIX70iPc0ZnJemRREWI/b4QJyRiwJGIsUBkPLiV2hFxPcE0EU6cKxrxehebFEFZB+T952wCNE4HQD55J/KfQ1nv+PGXv8dn199nHb6iG4sSW9aqEbNmxNxMmbkp5scK9Xs1fFIIo5P2YcYnf/GCf/LonD/ajlk1BiuREzJtiWBeQyZdjBJMP04DxyhwTP22YmIcs1AxlvWfN/84hLUPCK4H0sQqX9bPNdaVWFthWxnFLl260EKG64a4W2jjVdo+31siVPwcrHFlgv7yDPf5Ec3nKfWl2MBrsiPN0RPjQegoFYt6iFL6MXH+mJTjVMgvA1utn/s3JXa9x65z7LZ4051I5xkA/1GMHqWoVJ4sQkURhKF3c3IyCgHU8zV7kNGDjvJ3f8Ny/GtNThZZEijVxw/Jc8g5fgDihbSSaoJMeYKUTrVfZ20WivUlrK5gfSVzuuc4MDmByRlkc+udjoQIWJUdZdF3AZk9uD/wPGTpEIbak7jkXsEE2s81QsTyo+CQ4gggr1VIVRI/468bjrbqf6+PWWmgKSUiQpNvNfudEIUGoo7cXwQOE1sfFSDgvaz/Gyfz5kBE9e7eshbrr79K3KsSS5I64gTSTBzHDFevA39defKB49H3OjgtWOgdL/SKV2rl7wtda5gWU+bbOWe3p5xtTwm60BMN5E01owGsn8r1aNieGKq8I7+pKRct1bLxNveqrb1bSRh0PvIhTDtPsDu0ulbkuaIoDFUjbiohnVz8ogidacpxwT7dU5jSq79L6U1DXbd+Hg+dZRZpppHmOAo4TgNGofbEYCGX21Dj0gA96Z0qbBxiI8M2rFmWN3R/+DtMfvd3iauW8Pic8flTxufvEl88JLq4IHn4kOD8BP2niNb7N93kM97WLdt9xXZVUAtjRc6tKMDljnbZ4lYd3aqlXXZ0ty2d7C+73kBsmCXDqSE+DomPA6LTEDXSFFi2Tct6W1G/2HrXjDpQlKmmEJeKWJFHijwESe9ZC3Egrym2lm5jCfaOYAfhFqKtItmJG5uci/1548mIc4hPFJPzkNMHGe++d8b86YjkXN5jIdS02IEgYOu2H4UsII/JerMe9uXxw75fh8oaVIh5w9cd3h3j2DlOJHrGea7N2yYvSED9waXoa9sHNf9Bxe/3++3r1YL/7n/0t/i92y/vwfn79vOB8/86D5T7dt/u2327b/ftvt23+3bfflGaL0A8u+lz6n/wHPv8xt9t6ienfU7901PU8QQ1H/eWsL/gzau81nvccucLOOpojDoa9QzzbwD3B+X9AcT/acD9Aaw/PfSHc0bT7Gf/fud8lrWAcMui4tlV5Yu3uSjSO8kSF4BalKwOmzXYrMUdRkHVpNgnVvlNiKojbBnR5b3VvbbGF66msWEiKkNRy4c7dmbDRm246tY8r1dc1huvqJFiVNiGzJsZs3LKOJ+Q7cZkuxGdsn2RZrqjnmypxlvKbEeR5BRBQeFaD7IXts+Pl6YE1KsDrwCP64ikjfApdJJjnnWEY8kAVj57rhOlfCuRic5bBu+7lrxrexWmEjV6b5OfBKLw1j7vO9IhgYqIlKhQM7RL6FyMtWJMaHzBUEBFUcYI2DhrHfMaHq9CTkpD2IiyXHKeHV8kLS86x3oT4rYRbEPYRrhtiGp6kokHLyNLMG0JjlrCaUc46wjmNfPTjvSopNISTbD1NuxTFfF+Pea9m5SHVyHpZYd+XaNvpXjW+i4Arf/Dqw4rxIojRfGeIX9Pk7+jqE/7ck6tHYWBQnUUpiNXHbmAbrYl7Czj1nrAflQrppUiqxRJ43qL9E7cCBRlF7K2ISsbshgA/MoFlM5g2xBTxYRlTFZHjJrAW3hOrPF2jom8h5LTbdpeXaNaKi0qG+dr87VxdIGmMYYm1FTGUHl70TuKs7cHvX9MiuCxkWJ43+NhjO48Jkr+/muWUDlCY312pzyWhBFhkBCFCUaldLuEahGS30B+43wkwe62pQwKmijHpjnqqISxRHYIW6NEuRLTtMS1IywdUelIKkVYC+mlV7X7l+xtUCXGQXnQxY8oD7r4bSlM+1q+HK99JIOHxg/2/bLt3RRsL75zb9Vd/ks+Slt5G3oZRaUpGdhhq7xKMxge0165qVDSxTpfAHRRZ3pWgCjBO68G79VlfZCEvLDh1fS/18djHvJk334s3gbfW/QKaaMH4/1pJ8ozmfd9l/2+AG9klMfEOlw7ushRZ5Zq7KgmMlqqkaUedbSpoxFQX47xCKrMUWZQxJo8M7RBr3BtInlP5bX14IipNZM6YFoHHJWSPSvbIdPaMKlCokJhtha96TDbFrXrMLsOtbdo6aVFDC3e/p3D3y0qwVCsi6EVcsEMypmQDjryE0t+0rA7bcjPLM3U4sK3meh3x0FD6VXpMgqAL4+YYkJy9RhzdQFXc8rLhNtLx/V1y04s9iVXMyrQ53uS85aH5ynvnE94/3zG5MTQGkslxXAn57ilEpcL5wiF9KEkw/frXZS7cpyYbYded5hVh152qGWLuenQQhSqLYuw4Cre82pacjWuuUwqLk3JrauxQYfOOoI0xJljrJ7QqJT565APfn/CyYuY4rjm5tc2uIuGh9uU82XK8SJmsoqIXU/6kWzj7CIkfRAQnRuSC0N4LFYMotpmIBTQqypbAUwGxeNBAfm1r7/9Pq+MFND9zSjf2/+MP6iHueYQ5+xV+gI0WdW7/4rzQue81bNEwhQ9huG7qIdLP4oVtPNRHV5Q1r51DhZbaHluEbKmkeLoVHP6yPDgXcOjbwU8/V7I/GKI2bhzfV9crfnxpy+5/PyKzVc3pK93zG8Lpp1iZAxBElCcJ2zODFfHls9mFX882XMtkSlKkZqIR+kxo2iMDmKfebywEnPQq5pnQeSz6z9IjvgomvKuFceMinq/94C9bWp0GJHMj30X0F5eo5A8Xn7V8eWPWj7+44Yffdyy3vXnx/TI8a5q+O6+INILlufXuMmatGuYC4mwhVe55VmlGI1jptOU2dGY+WTEkR4TV4IeCCghdv5CIOvBvPAsInoYebX0qgn5w39suX1hefxLAb/xH2UcvxcMsQgDCidvfJ9/wX7ZcPVZxcuPV7z6dMXllyWbpbC8xF0h5PzMcD6H81HNaVpilPVq+tYGxLZhYktiW1M3mlLiW1xIGMq6SDK5FUHqMCONziTiwHiilsrkw5bc6ZBKBeSdYVdqNqViWRiWe8NNEfhjx8k1vBDAvSWuKg9QVlGEExcHUU3qwSUp6JjEliyxNCNLnlqWYcuP6xXP9jm7XYUphWAY8DQc82F2zFkY0TYb8mbBdpd7O2TjDJFLiKUTE9oYXSU+DkccDvK8d7AR8LE//mUp8Ha+FrBGMNpA1le1pcsFrRQCplwXe8sWcRMRjm0Qdz4qIDmqSOcV2bGMNeOTmuy4ZnTSeaKVt5tW0iOfPd5njvddfPm1C1DiXDNtaZoNm+0zVvlrKrfGig2SzPydJqwiknrOrH1Aao9pv9Tkf1BRfFpQbDW34xmfnT3gq2DCeq9RO4iFtOgU2TDH28zRjS3NxFKPLeXEkg+9FOeY4QL4Rk8tbwtOoqfJrCOzYr3uyJx02RaLaxhbx8TBxDrG8tiQK/4WyR+6E7D+7b4QmsRGXday4kgj7krifCBzzP46Jr+S9UtMV4V9XJNEeAjhzb+4fmILJEN+rIkEwJ9o32MB+mR7qkmmhujIeOJXYFrcYkd3s8PebOmuNt7y30kXte6d59XjBDXP0EcpWsZ5hjrOULMMsgQXJThxpciF7Oboio4ut9i9pSud35ZjKLoISd6JSZ5Gfrtadyx/WLL6uGT5ccX288rPBQLaH307Zv6dhKPvJMy+FXvnk5+4PxLygYCEZUOx79iVjm3h2Cybodf9uKjI1w3bZU1TdP7zOEwjAtRPpwGTo9CPY9meBIzHASPpI02WBdjO0pSd//lq37K/6thfd5TXluLWUi0d9VpIX4NbgJxDqfVE6n7dJaC91//SNC1tY3vwv5bzyHL+qOCdRx1HkRA+w7eONp7J0Kv0rRL3n16lL/4L8prEBUw3ypOBXa6xhaYtFU72awUy98h75YmGctoKsaBf83edEJjlPsf0j0ksiI8eka+Lenpwk/BP0K/v3kjDnfNzqNzLdFrWBIGPevGk4kEpLWvfVly9BsKCgPhd22Bt25OCEkuaOsZjx2isCLPeASGcGOLThPQiIT1J0eIUkYhlftCPiRAZftJK/V9n82DyvsLlNW5fY/e1FyLIdt/7r1kZ/deGx2T7bY7XW9eKcYyWKIFJ8nZ76C6O2KwdyyvL+sqyvXIUN5Z20eLWlkDIlYfnMgo31pgj450lmq6PlpH4lMb3/hg80KY9b0g78ki6RRzx6xHko5ZdKq5S4krm/PGiSoXZa5JckW0MUSHzS+9Y1MwU7VxTzxX1MZRHePLtm6mNu8fIN5bCgyvS3Rf1xj1AyI4GjmLj1fwnoeZYKU6U4tgD+HDSWY6tY9pY1IHMLhOjdxQY7pHFXKMq+Uf/6B/z3/5//S/vwfn79rPbPTh/3+7bfbtv9+2+3bf7dt/+69bctuit70VV//ELX0Q5NOULPmPU8Rg1nwzj+N8qeO/Z3qs9brHFiSXkcodbbn3Rym+v859qbakmaQ/Sy+u8Ow7bjBKqoub29UFlv+TmlYD2PYC/FbD/G8D9uc+3P+b8yYnvsh1Jpf+nNAERrm8tr686Xl42lJVkuXdEsYy9FbMUWaWgrDNLm9Xk45xtIApei+AVQRcQdlKwjXBVTJNL0U8KpH0RLBPVQ6x95Gob5ZThlq3esHRrXndrXrcrNqIIEiWQONdKF9F3YwjLhLhOSLuEkY05ilPmScLJKOV0nHAyCxnHoobv8+1FVbRbdOyuLOU1NEsBTBwu6XBHNV26pw4F6M/pgtZbczemw5oeABX3TNEp78VasGtZ25oVO3YqJ0dUcz3wKaOAkoGWzLqIVKUkOiKUYphYPHub54jIBZytxjx5NeV4HxFEFhtbmsSxHjm2otozsHSWWvIvt8Z3K30f0m1D3C7oMwNFYSNq+qBDzUvC45LJyY6j0z3zsw2j451X34i6W35/IkDjdcjkMiC70mSvNclrPKio865XYFWD0l5sLA8B7AfZxVBQHZDBPl/TF3tlHDI0pVBoxE7cSaXZFxB16rydsRFr4NihogEE9Tafh0xfUUH18QJVJxmnxivypbdCehAVjyjmBGWtRSUdo4oEU8bETehV/KLP9eb5Uij0oNmdUHTv19+j01LM9HD28PVuKF4LEcQnagsg7vrj3Zd+/GfbF7oFFM4Ky6joSJuWsGkJtEQItGjJOJZRbIElv3l4y3wR2ikfk2Cs5Dv3ILQ2ovaRQqnx3Tt+yPshhBVvbS4xBa23dpcIhi6Q3G9LJ7YDh3nmkBUvqmLvC9uP3tXAw/yDXeygZhTEQ2w4xWpeLDgDI0BRhDUBtY7YK8NGeXyLXIAVsXvXiiwNmKSaVBwtsg11umYdrsSYlNpFBBxh1AglQL1koSKFUrGGlFiAFicFWslUbw1NY+haIcbEtHVA3QXUjfG9agW8M7gmwLYBpo7Q8rm3kVfjhJ2QQhqitiVoZGyImo6oa32P25a4677Wk58hZZb3rhKVodHU3oq0JaHFJy4Pea3e4sFY/3f5UeICBPBP+l6nAvwP234f//UqdbSyL8QAsdZ3itFOka016UaTbWTEb6dbRZwP7gGHFyavTUgEYyilj1Q/ThTFWLYV5VT7x0UpNg46krAkDksisycICl+YFJKEGMKmdoa5PYfLc/KrES8vLS8uO64vHaWPShayUsTZqUScjHh6kXJ2YTh9YJjMtLemrqs+QqKu6LffdCleOm81LPs+YqISN5uOSrLucwEdOqpcACEhPokFvkQsyHknTBEhh2jfhTSThYo0NnSZIU8FgNSc3CiOllI8bsl/o6D4a1s2xy1r1ZJtDePbkNki4mKZMF9EjNcBoTibeJBpsCM+nI+DE0c/9k0s7aWYK9avh6iFfhz2vUKyH3sbZpn/FHXryIsBdJdeOIoKchlLR1nJCEV1p7h8p4lCOI2Vd56JI/m7pfcgvDhkx5Ul3vWEOXnOUkHpFLvSst/312LpySmMnjrSp5b4SUv0tEFfiGq2t2stbc1NXfPltmbxoqL9omT2uubBTcv5Tc35bY1g8vJ+CQiyPYtZnwZcnSieH9X8eLpnPZU5UXl7cXEiCMLUK3LXYrkr6ko0F1Hm1fUfxlN+WY2Y7yqq1QLbNJg4JpmfeKA+SNI3AIhYVj//rOWf/X7DH/7zxtvhC4A/juCdkeX9XckD3TIVSdw7W9p4ga325Nu9jzSqhQQg86qA5SpkHKZkUUqWxCRpQjqKCYOQxTLg9/8w5vVlwOlJx6//asnF2Z/e5kA+wrJpeX1Tcnldc7lQXK0SNnnsZYJhEnD+yDA/D+hSw0bemVTxYFLxQbLgpLj1QGWzrqgE9BIwOUgwJvSW8XLty1vDvhVFvibvxP5ejjVF2SqqZui1ohSwTI5mOX49SKa/BmbIGkos9sOkP3aFmSbuJgtXszSWnelwsShuQ7IkIhEnEoksSlq2sWUv6l2JAdIdZ2bPfLwgGXeomcOKVf94RxDnxFHjI2eOOObEa+xPmVSnBItzupsZiyvNq9eOm2sB7x11J9cNIRF0dEmHTSwq7ciimlHdES5a9G0Ltw3VqqPeWZq9/IC4qcjfKXFIfQ9HLcmsIZ03PWB/WjM+rRhd7BmdbAizHCWOM0i0UcUmqMjFoWeV0n52Snr1lHH5hLibUS8gX0Nx3ZIvHE1hKcKATRazjQL2Mr+P8MDf48zynbDlfdP4Y1NU2tvcsNsZtlvFdtuPjdyaDMd6MhKrdIeZOdQM7MzRCkFr4sgN7GStaWHnZM3pKCROxcm1WNxU+nXTmylEzB8kN5mBKDWMPWlLxiFOx8c/9xJ8AerFa93KHCxxF67BufawcupJf/L+VoqoMCRlQJwb4kJ7QC3KNWHhMNJzixE3ijun0GG941KNzRRW7AJGmnSiuTgyPBjBkW5RTYsqK5Q4npUViCtaXsK+QFU1evh8BaA1WYA5SgjE8eYkxRxnBGcp5mSEPh55EHL3Zc3yhwXLj0tWnzYUC/GYd6RTmD50zM4t05OW0Ujk6gK6t73CX8aqwVUy9tv+sW+AoG/+PrH7l55Kj4axf6wLRQWuKVpxlFBsa9iXsJG+d6x2lsWmY7Xzq7Z/wQTTf8qJXAMiEUjLqEglUqkWAokarMc1di9rv0HVryGZWNKZYzTrGB/J/VrNerFivdqSr3PqfY2W+6g27Ik1LsY4uRcMZZHogfVWSGUCsHugXXsCaM8+G66kb+4DBvef4SFj3NDFNcP5e8U3o4+k6UfpPuIlkvsBGfVwf6D7eSrR6FDu3Rz2dkdzldMsK5p9IxweWrknIPBq+y5JsUlGlyR0cUIXxZ78VBSKfOeotp2PQfCq6iECxRMnJHEilLnR+ddx6BKtJGvlVsi/8taKo4cB4SLItbdyqncKaR3G9ir+2LZEriN0LaFuCAOJGqvJWkXaKhJxjpKv286vXyUG7RCj47s4Zsh+ZNBZiBnFmJHESgx27RIzMSi7ZXQ+ek69saZvi5ZyWVEsSspVTb0qsdsKt6t6NfqdQ0tIYUaO30lMMEuIjlKicUKcJWgT+vW4uL24cCDGROIh0rsxyS2QEBJ78oftnYMOo3SJkxnIi11j/eh71xMbK2fZGsvNeMfL2RWLdMPOlOh9QLocMbs8Itml/n4u6SLixBBlysexpBPDaGZIZ4Y4NgSxJo41UWpI5PsSQxgLqQJWEsV0W3K9qlnalnVgWQcdm8yxlXvs1LENbQ/gR/11MRDgPgk5SULmcchJemc7NDQ3N/ytf/evc7m5vgfn79vPB87/vb/393j48KHfHo/H/Mqv/Mqf8au7b/ftvt1tXdexXq/99mw285k09+2+3bdfzHZ/vt63+/bnp7VNw+b5JWq1FydO1Dp/C4IP4PhdINyD9weg/i5wL9tHPx9471UVq93b33Pofn/ryQNv7oqleDHJfvL3zQVwn/TFLAHy5eeHkfWd/YPaRJ5KlPV3wHo1+zqQX8cht7cbD9b3VvkLrp5Lzv0t+41HYXw7Opt6pf3ZYwHsTzl7LNvHzM9nb2IB5LZxvXG8vu54fWVZrkSzaxmNnC9OatNRi7pMciylgDRR6HFHPanYhaLkLtgIbd5nAkNsI2IB7ZsYypi2CCnF7n3IZJQb60kswL3caDfU4d4X3CWzORKLdCnKCLFdQIoNVGuot9IV3e6gshWJocNl0i3Wy5EcpL1qWtS3kp8XiRVfKaJiRyR5yl4ZKspjUaJI4fJgLN1v3UVVvFo16EHLMmjYmYatqlibko3Ze6LCzuQU45x6WtDqllZsxOmo3dvnEkDh6csH/NrzD3lcHhFMO9qTnDqrqYOWVViwDAtWYcUuEIaCRvmKkSiLA+LdCWbxAJZTqn1AszM0m4Cu7JUfUosfzVqvNovmO9Q8Jz4uOTl2XGQxJzrl2CYkt5bgsiG4agkua4JnFUrsPCVjfVAu31Ur9OrsA7yle1BA3+3i6ymFd0cVWYq4pQhairCjMmKT3uBUS2il6A+Bc0QCIkjxSApnYoeoh6KVnIqBWPH340/Bt3oVeK16pwHpksU9nDLeMlX6oBr3IovDdn/ovtk+PPHd7/OQ/GCh2h0AOaconKYQEEXp3sZd7OkHy3x5yaFVJK1m1CiOSsXYBYy1Zib560mAjkOM2HiKdaJ/EwRc6UdEuRNqP35tW5RDctxFogJvacKKOqxpgopGl9TSKSVd/mu131AlRDol1CmdlYxkxabSLCvFsoRFKVnM2qudEhVwEoScEDDzkrk9t+E1X7LiRV2z3YeUu5RuPabbJui9ECUCXBFA2QPw/vP4Ka2HkRgK7xYddpiwQ0cNKmrQsfQaFbV+W0m+fdyiQouLBRwXRVUfv+EjOOR8luNNMtvf0j365IZKAG9NvDckW0W2UkyW+FGUjkFnextcybaXD1uK0q2hbkPKLiInYk/IVmzXiagCQ2kMRWC88l3FFiUEn7TvNhOQqcWmLW3a0mQNTdbRCPnmjQtC/7p9pKmX2B1GUW32pI9s1zHaWUZ768fxvmMs23vLRMZciB+Hj7d/3ipW7DJNHgeUqaFKNPuxph453LjDTmrsrCIclSRRxSiumASdt1IOdEidR9zeRKyuEpbXCfvrMeX1hG45IRLoR9wM5GUKUcP/4uE9Q4rrHUZ61GKSFuM/w6b/TP1nKNu1B/yI6v5749a7mESR8gXWtoRSLH23AfU+oNpFNNuIehvT7GLqTeLHsAg5XafM95E/F29GHfm08YC2FPeZWLqppZ51FBMhiHTEg4OJr8sLwDVYBksecDfMDeIQ69ph3miUjynpK/Nil9yPX9v2rhFvLu0998f/c5hEctWtJyH5v1HcWmJLHIk9tCUWy+7AEoWWIOo8Gawn4cjYeocQIeLIaANxSZGscEXYJATbmOAyInodEV8m6Nx4K/C8ha1uvftLtde0jRA2LCp26McV4ZOa6GlL8rQle+q8w4CQxDZty4tm563r97UluHFMnluOX8PxK8v8sub0tvEEAfnrxGVieZqwOA25PtG8mlu+nDdsxeFBW0ZRTBYl3hZfSDviMPM4HvMb2Tl/WU94XFia9QrXyrGSknpF/QlBIh/e27bPLf/wd2oP1r/6rKVaOB9rcBw6nuiWk7ziIrJMMkjfiQieGNbHa26yWy7tFS8Wr3l+/ZIXN6/92jDOjzj76jc5WnxEdtrxzt/M+fZfHPPw+Iyz8bEHMt+EXYvST+aFA4LjQZE+fqWfj/vs3AOxQK6R3fYV7c0n7F58xtVzzfXNGbfLR1xfzljd9DbVHlQXi+VpyPQ89ESVam+94t33vEFVLbpoCLqOoGsxViyJO4wQwgJLFjvSyJEmIipW3rY6k1iAqSY9EuAi8Pnhdduw2wtBRrHf4/tu61iuG9Zby3anqATklqnIk7V6BWMsFuZviHT9394kIeuJYTtRbDLFNgYbVbiw9CCUhKRYAckC48GuSCIUsgKyPTrJSdKWJG45jWMeRhMehXPm5bknCnU3R2xujAftFzdQ1gLaC/jdsk0bmqPWEweOR5pHU8PDmWGW1ATdlnyxZflyx/p1Qb5oqNeWZqtphcC4Fwejt/MjSYOa5ahRRXA7IbqZE1ZjYh1ihrlZ1JbiKBC3OW6/5jaFLx9lfPYgZTMPiDP4pdTxV7uGv7RvmMncPYvRjyaoh5LLMKZSIenoLQHosIauto7N647NVefH7WXH5rIfm/LtaiY90kwvDJMLw/SBYXrej5Nzg4mg6BybuvN9Xbesm8N2P26at9vfdIUPtWIaGSaBZhoaxkMfBYax0cSqpmsuKern1M0VViJ4jGIfhixjy01Y+3WQD/RxIWM3Y2SnpHbKSNxaNiPibYbbaNptS7e1tGJ7ve183+8sm52ApLLWg0kA40CRyTXxztrLNzkHZaHvY1OGUfbFwto/LlbXvZW/kDT6H+nV26O0ZDoumYxLpqOCKOpQAmoeQM5YgHQBOwM/8rV9sXQwPfjuv7f/fv85lg2uqHGFjM2wf2f0vX67L4rbnwW7yVSjNa0x1Gg6IS4JyGuMJ39KjIysbX6etAb5FUJ2LOqYokn8mJcRRRl5sqMH0A+e/LIt60e5bxMHHVew7/bs7I7OtKgExrMxR6dTzi6OOXtwRjqOKFXFdXvLTX3LslywrdZEKMY6JE4NThT8ab9u9etYP1fKWlV7MFnWuDoURfrQo5AgEieyyF8jpIda9vtt6XJuSob74RySz1tiudxNgXq5wb3aoS73cJPDIvcMCJsLa9AzYXA+FkZjZwndUUY9G9HMRpTjlK0KWBWKdq/RazBb0FsnjBhscXBoGKIVvAWOOIH1NwSajkA1BLrFmAYTtGjToCVSJ2ggrrGjFjuqYdx42wtxQkFLVs1AgvA3M6En5kqElTERRqKtBAT3v64nFGvvR9+7aDVYHw8kmekyeuczmb+dOLm9rU96LrVW3uWsELcxiRRyrc+I9xZAwp4XckrVoYUEVTpiuR8u3o79+vIQu6JppyHtUUQ3T3z8GeJwcTLyDhfh6YRwlJIEMZGOSPxnKGPkP8Of5UAgQH4hjhSbhmfbG/54/2N+UHzOZ5sX1K8V8eWI4+fnTF+cklyOMUXkAX5Zw7VCoIgdNuHNKGtqAewlim92HDE/i5mfRsxnETMTIIFeQpQQt4DmuqW4rlnmDZugYxVYNqlld6TYTRzbzLGOLWtjyY319/oSm/iP/vE/Zve//Y/vwfn79vOB83/7b//tNwfKdDrlN37jN/6MX919u2/37W4Tdvdv//Zv++3f+q3fIk2/nhN73+7bffvFaffn6327b///c756xvxGbBV32AN4/qcB78cpTn7+Lhi/67On+x9QqKOsB/a/qdb3XRSl/3IEH3/rJpZ3or6X338A7P32MN4lAsjLGcVvbfLl959MUKdTiiTiJq+4fr3yYP3181uuXojq/pZ2IAAEoeH04QDaPx0U9x7AP0GHyRugXtT1orLPUphNBXjoaMUWvhCkA5JEczQNmUwMetKShxVLW7ByhQft9x6096+WkYtJugTTxKgqoisjSsloHdSGxue/S61FlOn9fnDnMQHsfHKd5DXuRW2uaHeKZoO3ZDzYb6czGB31fTKHcASLneN217LYWnaF7VUoVjFWmpHWJKJMElV21/rcw0oyl0U54LuoBXr79jfZ8T4/u8/KFgQpSFqC8xz73g57Lqp0UYdGPsfTBB0EFhW0tHII/jBA/ShBWUv9YE/1cIvKxHtZsGbLKii4DndcBTu+Ukv/Xgp6LEDLvJ0xL+aM6mN0cUxVZuSFpt6J6j5ErWPCXextqKXw0yQl9jjHnBScnxo+Okv45fMpv3J8RCTvZnkoivaqEwE52lpsMxu/3dVin9nQiY1m3VJXHa0UhWtRSQiQBbYWoEvYM8ZbxgpwLpapYhVd5UtfLB8/iqnGLbukY5c2bNKajRTns6a3wpV/kiNdwWyjmW01R3tFWmmiNuit0OW9F/fqwHlQSqpLQy2yt9sUdakUcWWUj2pQm4pCxgV3tr0Sry/4+p/1xAExxtV+FPNcGXst7sGaU3vgviBk50QlGbByhpXTLJxibQ0bZ8gJ2GNonOT7gtQyR9ox0TCXcy4yXKQRp5EUtPoc+75GJ04P/faBxCLKNqkZtk7RdGI72Tsxiv3kYbRK7I0rtK7QAqKYmkAyqU2vChdL4UgL+DNkvQ4EBvm4GnEPkIK31TS1oa1Cuiqga3pFu6sD6AICJ2pz4/OoR0FAFohlqk9QRgxeBS5vtO4tSCWCIOhowj6LXDLsc6x4T/hRumgbvSW4uEEMbhTyT6R5gbh2OIvxVqvO2/F7MbtY0MtnE2ifAyv5r2Ek5B5DEInCxhAp4+eIgy27qfEEnWBvMfuOYHCOqBJDkRn2krV5yNkMHLvOeYCr2itv7eoKM4za272q3PiOWHWK/f+QJCCi8NA5UmNJRd0sMQlKuiKU40oISwKMiQIyVIxGMBo7xjPFZK4ZnyqyuUYl8g2KLoYuEnVSQ7stsbcF3XVBu8hZ5mtWhZDCOrK1YrIyRD7fQSO6SOlFpNimyv99ogDN0/45JTvCu1qklmDcEic1UVRgdOHzsveVAG8CqoOOOrS4X8RSdJZICYmXcFShpQo6iqiljiSGQo5UcewQeD8hFicRMkaMyRgTq8Tb63pg1B+C8golaKWidRUNexoK0XzTCVDkKtrCeQCueTEm+AfvEf3hI39ObN5ZcvNgQ9ka2k1Cu4t9F8C9d5Hope5+TpbjZbDM7sdexSejKPvkMv21bZ8fLCSht/uHbWHhSNyIFOHbUUMzEkJZ5zOeq8B6B5bKO7FYanFcMJZGnEXEVnqIUPDkHx//IO/BEAjhhpgHuY6Iw3wDchmY1YojIc6kMeeTjItwytl6RHIVoV4Z7GuFXUhuuKyJJPJDScw6+9J5cNY7AxjF6Fhz9DRgfCrni5Bb5Htr9kIq0zl7k3ty2VrvWKsCtXUkC0t2a5ktYLJomSwbjFflicoQlvOA63nI1ZHi8ljx6tSyeFj67GNx6dEmYB6m/Obogr+mZnxYCSCy81mxQTbyanoB641X6r1tt1vL7/+45Xd/v2HxrMMtZS3Xn0ejmebiScCDx4aLx7JtOH9ofA60tP2i5b/8O9d88l+UdPGe7pd/zNX8D3lx+4pd0UcDCRHx4fEFT84e8eT0oR+fnj0ilRfu58B+TvLzr7dj6R/jpzxmxVp594p68QXt5jmua2g5YZt/wHr1kNWriJefajZX2lssy+ufzg1HJwEnZ7EHFUQdmE3fdlEcCz3IXl3RXl7RvVh4m3C3LHGb2tubKBegTey7XPi8M4yQC2LNWlVc2ZzLduczyMdZzMXJjAcnpyg9Zl9G7KuQfW7Yb6Vr9lvYbRz51rH3qUuDCn/4TIScmU0c6bEjOOmIT0riI8kpblkTsO0iNi5mqUIWwtmSiPjQ0sq54clYlVfaJ3HtiZgnScJ5lDFv5pjFmO2LgPyrxFtot3FJebRiNdpxK1bskk3iCZUt83jLcbTlTJecqppz7ZgJMNRlqHxMuxlRrWKKVUS+Cig3ygPwkyPIjjXjRwnZTFE/v+GLj1/wQwd/dD7j8/Opt4N+1xj+Ut3xl4uaj+RYmcboh2MPxqsHYxZ5xKvn8Po5XL7oHZ5kLpnMJJ4B/3ums2GU3zn+GcD9HbD+AOJvX/8kcP/BX4/5tf8wI5Qw+z/hniFvrQfq198A7e+C+IfHfoLs6Ndctc+097n2fhEnC6IA6wPVlXfvsbqiUzVW132+tMQB+fVARKYSMh0zUikjnXIUJBxHIY2QAneKy5VlIaCoUjyear57FvLRkeGdiawV+0gRUeHKWtGvKQdFrvXrS0dXWuympF1W2Lxm+iRg+mFMMI3eAO8eWBeA3SPdP7sJ4LesOm7Llpuy4aaSsWXh9yUCCs6TgIs05Nz34M0YDkTmn/YZeAX+AdT/Goj/9rF6k/P9j3+AM5pf+Yu/RjRKPJnAg9t3x+DOvhAIvvk9cjP0jd+/WbWsb4WcoNCxqIR1TyoeQP2DHXheV3zx+hmfvfqSz18/44vLZ+Rl4dehD47Pee/iHd570PfT2QmNbflqf8Vnu1dsaiGEttTikmRbGnH88mPXj7bz2/L4m22JefFYd89UlNED0x5RP2zL18S1Y48xW4zeYswOrcqvR1UNNMGo0xzVCae7mEeLmItlxOkqZL41TDaKxLs89IB0bzQ1xJYN0VGHZ/K3bZFCzJqaQFxGImod0BJiVYiTDDAXoboE10be0Um+2dYhTixJhMgo94DD88l5EYwsgZCWUonvadBpi056wqIQUHUkBv39nyWOWv51vOkD8c+vCeS5dU+WFBcuT6xS/iV0qbhUQJf0azIbyH1Ofy8jbl1xo4Qb6Umgw82EdyZoXe+qU9iSQmKPmoKiKuhquc/rM92FMRWUjrTUjPK+y/qkd06QP1+xmVi2E+fHzdixmVq2Y0cxM9TTgDDuiRgetDeRj8xJTExqYv9YP8YkOqSg5rJd8KK55Mv60r+uZDXi/eV7vLN4l9PLM8zzjM2zhkZcEeS2OsbHapiJwh0rirBldVOzvK78POLPc9V58cDoXJHJ2vpInIs6AiOig8bHItR1yW5XkJcSFVez141X2QtY/4PLZ3z8P/8/3IPz9+1nt3tw/r7dtz8/7R7su2/37c9Puz9f79t9+6/P+XoA7+3im6B9D8azK2A6KN/v2uXPxVZx0n/tG8WRf5tNCtxuNZAHhGhwF7hf7rG3glIPNo1yQy2v+3TqAXvp7njMCsVtXnvg/ur5jVfdX724ZXW9efN7skn6xhr/+MEx4XhOrUbcSC5iLSCG4mgmIJMU6jpviV+U/e8V67nZOGAqfRqiQsfWlaypvIX92pZskUKP3GlLyUYzMQnT84l/b3ud5vBvKCz1/w7bBz3n8JgUlKW4UWncKsStIt+RvpZqRq919IAdPcgotqBiv91K0UIJVNSDKIIfSU5qlmhGqWKSaaaZJk3E6liKEyVVmFMGO/JwS2427IMt5YsU/vgx6tWxt+QP0gr3+Ibie5+TP1x6y3ABOY0NvRopVQljUqYvj0l/NMO8SAgixfg7jvRdSxc25EVBI2isz/uzbFTBrdpxyZZXbs3C7dmp2tvNB0J6qCdEzRHOTBGdWykA4jomXqZk6xFKFKobQ9GJrt+hA8vsxHGSiTqqjw6QYpD8SlGY3u1iRyw4hccqDsfi8N4LqPrmM/CfWb/vC05SwKulUiS5nKJKsySjjnTckmRdD1CmjmjSEmQtelzTZQV5ULJVJTtVsdN9pmEPjvRFxrjTjJvQkxWq0A0AmRTI+szdw5ipmLFKmJAwluIxUkSOBTIkI3qznYhq+BvKjx6o6LBthW1LbCdjNYz1N/Yr//paN9j4WtdbUjvD1mrWVrOyhpXVbJVh5zSlQP+9yUNPEhjKlXfHw3Yg4HR36GKV3297YE8cRKTwXrRelWmHQrEQJ7pOFO4G1wmQrvy56EFKL+7pCJKOKO1IE+fttseiSBFVpWQkx6JQEbvUwdXAvyAhmAyZoz5z+60Vqo9e8GHzshegrPGFRbFQFbBUHCCEMSFWxa7TQ+SjehP3KDncwhMppDgvOdmSqZlFmCxCSR6p03RlR1v2ua1dZWkase31pzidkVqqoksUNhLXAVEVKzqJIpboioNdsBCK5Ngwxnch5qRWe1A0rRRJCWkByd6R7BzJRroVUaYna/hjQ/Izs4AyDrwVci5Ke2XIhbRRKJYrx3KFz2X2x5GA9zhP0kidI+4gasA0qt+X7FUDSdTd6bYf5TNIh4J7IgC+hlRzdbrn09MFn86uKW3F0S7ko82cD/YzzouUZltTrkqqVUmzLmnXOW3V+MxWmfeElNEaRZ71RIU6NeSm8WkSgfiMC5nIzy2WUQXTHYxr5x0iZP4U0or8L9arrbf4hzq1VJlY/VvqxFKmHWVmKdKWIu2oRo46c1jJY/7av8N72xNipMmzy0El9A8Bjc1/fkL4Dy6EUUL+l15Q/jc/JTzfEkohtjC4UoAN25MKQjlRZE6Xb5dyLN4FQ0YhurQIkUGOiX7sPEAgv/FQcP/GvwFA6Oe5AZAZrkAyZ0bWEPquCd2w7YTo05N9hJzg7ah9l+tPTzISHpPPdhUH5nSEZUy9C9jdwnJbc9NUFML88JmzEg8jQFHGxdGIszDjfJkwuw5Jrw3qCqrXYu07WO6LM7gS22XJ6pWidv875ViUIvfBgtaPsm9FtdcNmcZihN2+6aJkNbXDVI6gUr6bqnd2kHeiDS27BxWvvlXx2fc2bJ4usUcdKogYBTG/lBzz3wnO+E5tyMT/2VnC0Xiwvp9jQlEY9q2zjs+uLN9/3vHZ85b9tWQxixLfUa8stZAPvBJc3GKUt952rwWMVnz730/41r+fkKWasI8spqp3XK1ecbl4wavbVzy7funV9ovt6l/PmsyrPUtck/vRZ4ybCBXKWjHpkRi5JnplpvTOO9JEgSYRJbPRpEZ5q3jZTwJDHAQkvhuSMCZJMpIoJdUS9SNkHEO4go8/+Yrn+x1bJbnkEe+ZYz4MTniSnjIaTdGRAIAhWohgkaiFBwAzDbxFtx995n2Aiw15o/0SWAhKm43l9nXD1Vc1L79oWS+FuNc7l8yOLOcnNQ/ne85mBSdHHbOZkFEiti5kZQPhVbB2cBtYFiEsAscyUKyMopIYEQ9YKIzkvzeGrA4YNYZxp5jivCX6kbaMZc5EEVlFJLbRBycfiYoZyFlJGpBlIaNR4JW6AmTqWcpahfz4v3rBj/7gOV+WFT86HbOeZiRJyC9pw28WLb/uHPNRhH40gPEPJ6zriFfP8P3F5x3bm4ZmV2NsRXdT0K5k9SqEG9HX6n5OETBN3F287bfyDhp9bIWMvROCrHXEvlxIJR77li5uPHItLBVVAbk4WD1XZDPDb/wHCe//9RgzCdBjUX3rf6XjdNdatl5t74SP6a+Jfg08OI1U7Y6iuqIorynqW/+4UwkqOEUHJ7R6zI6KrduztTl7l7OzJbktfR64EKTqJqSoIpomHGZzWRtoVBcgzL2u7NeZsYHzWcWT04qPHtY8mVsP2PXBUPL/m5CoN/viZPXW6ar3uupnqP5f7VoPvi9Ly7J0rHyHTaXYlJpt1burHO4eorAhSyqSpPRdfpMrTmiKKXkhcl0JEujf8+PYDED9ANon4QDiB0Q/xz3hn/beVT4vWQttSse6tH0vHNtKRsumciyKhttSlPFyPMoR2V9DD///tH89AXjoQhrpGvKmpmhrKgEtBcyVOUJs2APxpBe3DeMB4m8q/Pur4U9uHdaubxyOhlgpUXV7mpqA5X493/YOZgKgBxIzJTdgQphrCcKKNNmTpXs/pumONM2JQyGj9r/Lr/OH33tQboe1YbKPmK4i5i8jji4NQS3rQLkJCT35wY/yybqeTOzjonx+Te/u4F+aX8/283Y/HhT1Qv4b3LuqAFUG3rmkEleq0tCVAbYKcYV0Ibf2biX9PYnCTCzmyBFIFMGJJTjuUGct7rTybmrl2Y483bMPcu+qYypINoZ0E/oM93QbMd5EjLYxo11E0Mi5Bart71caKk98dP7ibr0TQCDK/TgijDLCKMWEsb8ueAaiELOHGz132K5rbFlhq4quqOmKiras6KrWK+E9ydeTZyWm6G0kloz1WFMcBRRHht1cs50p1pOO1bhjMW5YxUIQqCm7irKrv3YsyZlc6IpCSS99/Jicf+Mu42J9wfn1BSfXZ8TXY4KXGe4moJ1XFP/OFevfeMU62LItCkpPOHDekr8ZCPaNkH3kM5RLhzUEXUgaxIzDhKlJmeiYCTFRofjn/8Xv8v/+v/+f78H5+/bzgfN/9+/+Xc7Ozvz2PTh/3+7bfbtv9+2+3bf7dt/u233zt3+rHqR3N1vc9Rp32L7Z9FaR0oQML4r70yn6bIo6mdJMUm47y82+5OrVoLgX4P75LZXYCA7N37tLLnEtrnnDza5RyL2+GRTQktMnRXZpUrAMAkVgtB8P4hYBb0WrIgoLGeNxzNPffId3/8q7PPn1J4SihPkGeOP/DQWZn3j8bkGqF42jBKy8ain2lsWxYhWWbE0BAkwGipNwxKkecaZHjF1GnmsWecf1vuM2FwV9/zeMIs3JyHCWBX48zQJCUazdaQLO7sqKZ582vPw+bF5rD37EWUP6dEf4F27IH916xWLuCgpbieGkBwzDbcLRJw+Z/+ghQR7TnO+ov7vAvF8w6jLvNhC1MUEbYkSd3mrqtqO0DbmryEUR4eoezFaSPyyqEQGjQmqXkOuYPFCUOLJVxtFiQriNKXPF1tY0pvG5nyMdcKwSTok5I+FYsirl8/Vx9M67FhgPycpjAkw5b00vdrwCOIhho4yyL/V32S6sYme1L9ZvO9g2il0DW7HilV4IODbkx/sPzRFlLfGoJR13JKOWaNx44J5xiZ0W2GlOPS68RXQk+cP01v7eGV8Uyxifz2oOubzDsSHaXinzSl7x1/6paNiKCJX/33+fZHUakZsezi8B0krru5Wx6rvYFXdVTVuU1FVFU1fUXUXlSipV0poaG9QQNhD04QmeaiB1rtp5sLn2wHNHVXQ0kuFdtD7Luy7FraB3LPDjYd+P/delcOhLoncPSS946d/PfrS96s07n/bnyQEQ/Vm2rAcCzKH4enf77Tl393ceMkv7F9Bbox9yS4efvzN+7cV+be9wnmtvt+lHbcjGKaNJRjbOmEzHpKOUNIyJVUjiQuJOekBcSzekUUwSxR6wMbMAPQ/QU4MrHHbXYred70LaEjcQsYmuu5Y2tt6mXkDHNui8A0Az2IxKAdEXsQXoLmrKovZjVfaj/K5HH1zw+IMHnDw6Jz06p2xSlkvHYuFYLvHbW7FXFWGT8G8kkSMQEMq7+xPWjqiFTDsyweJTRyrElqRjknWM0xpTv7XKvp7n/Pjxks+eLNlkNUlteP96zrcWpzwtjwh9dq5YdsvhIIXYltxuuKmXrPMt+TbHbVqiNcQbRShKfO/iIMo2RRNpynFAPgo8kN+OQlwWoFMp+op17eCq0DjGhfP2/GOx7d+06OEa8bXPV1SAowA1DlFZgBqJ93GIkvzV0d19sSM2bzPLC8eLf1jx2X9Wsl5Ztu/Bs1+2NGeKxxPLLCtI45wwKgjCgiDIUTLfmxKrShqJghB1vjeP9bSi4X8ZBbSXfkjL6Pc9+DaEKQg4JGSyfhz21HCcWwgrQ5Qbor2MkttsCCW7OVeEsl0ogr0iKDVBIcByT66R46Actdw+ylk9qtg8aigewiSakZYz7CKheW3Yv4ZV3XKbdSyOLFvJsxbCRmqIIsOZSXi4TXmwSJnfRoyuA8Jrjd7055SRSJpHhuRR0I+PA6LTnszkCVXtTwHuW8i7kpt2y227Y9ltWTY734vVjuyFZfJ7KfH3p+SLMUUXkCeG/WnH7UcFr5/esnq8ZP24Jo4jnoQj/oPgnN+0GfOyEzdfosnEK+qTo+MeEBratnS8WIhLiPNOIVXrfI75zfOWZ/+w4voPG0pZh4y0nCx+Tg1SiOeaxHflx2jWzyeBUd69XnBqcRWpmz2TpOLJvOIo610W3sw9hzlyWLB4l5NvPKbvPiaAxcsF9oef4n78HJ4tUUsBdkQ9KkS1nhwk7gniMNI7KbwFynq3/f57/OgBUxktrRUS0oF02c+foq6U+Jj4YsbFh+/y/kcfMc4SXFPS5XvaxYru1S3t5VKYKWgdoExIMD/CHM0w4zE6zdAC1IgNc9tHbnytiXJ3FqOmEUUQcr0zfPxM8ckXjudftJSLxhPD0rBhFBScztYcT/fMZzUnJwHHxxFH4wgjDjtF421fxJ1HIuU3oWGfJOSjjN0oZSt576Fh2WpuSsVtBRtxi/EuT4ooUZ4wJtnNQjXTXe/a05a94loIT7F1nEWaC92x/PKa26rg5TTGCalFa35dG35DKb6dhESDTb30XRfx/HPHp3/Y8NUParbXNeVWLMtrXNMSiYNG3jAqKsYIcUofDJTeENWs0jRoanGhcfixErDaKprBAceTTcXK3A2dzscF+C5AlHzG8pxCpmszoZKSRjVPjzecTWvmMsfNW9JZhx6BHjmU2Otnsq1QI+VHPdaoWCy2DUqYdbKGkWNV9k2Ezk5997FEP6OJir6qXlGVzyjLL2lbif/TRPEDkuQd34Ng3s8dOPbsWHJL4V1QGgrbsBKgvGpZVZZl5djIZ1rCzTZksQ3ZlwGNOCx5rkVHklSMx3smsxVpKuBsRRLV/vE0rojClqoOKUqxdE8oqthvH3pViQvG27uGLOoYyzUz7pgkHUcJzBLnx7nMhSbAdZK9HVNXIbuuZKmvuFVXdKrx8TdRc0pQnqPrOW01YV+G3Mg6TYDPYd0yi3rg/mJQ2h9A+7NEAMCfVLrLfcV6AN03vv/0bcFBD02UzyasfYSEjbd0yYou2vh4mSRqyUxM1SrKTnmyo2xXnabpjH+Pm1be64BWWIwDgH63haEc5y2BWLeLap0C2xV07Va8/n20mWSAiztKFIaePBSFkbek9+DznQis0EUYIfu60BOSdRPATkh2LW7d4PyB0HlgXDvJlM9Y1TELPaVIU5o0pJO1RaboAuvJ0zI3y7JBeIMPxoYHmeHBKODhMB5Fh/X+28//QKyIBHT1dwk/R37Av6DJ2vCmqLneV9zsG27zxn9WWRgyiyImUcw4CvtrTKB69//a4TYdrDu6VUe37qgWHeWt5Mf3YyPvS934LnOkoSQgR7FBJTl6VOJGJUxL7KzEPbC05452KjZxEVos813oAeewCYjKkLgISPeR3z/82eK0ko8byklLM3a0I3GjM0Rt6NfM8r2+18aD/uI8JYQ8LV3WKVauEXIr0cfCyDVDXrPal3TiMJj3LhGIe0TVW+p79q0b7g0GVp2Pk0hl7RfhRiFW+jiknYR045BOIpC0Y6cbVir3xPStK7yrnBxlqb9/i9gvIm5/MCL/0agn6P7ajuBv7om/072JTngboSDsenGYg2Jjvc2+72sZW3abmmLX0bQNH3/8MT/4f/5v7sH5+/az2z04f9/u2327b/ftvt23+3bf7tt9+5dp/tZwnWMFpL/bPXi/eZt3L/fQkm8vwP3pFE4m7OIQMYd1UsyTYpMUpwOx7lYst4rrpeVm4Wga50Hv4yPlLfDD0FFUHdtdQyE2+KKsjzXjzHhl/WQc+IJ523b8+A+/5I/+8cdcPrshjEO+8xc/4Jf/2nf43r/zIaMowAlBYF/2o1hFfmP7zWOFfF+Fk6r93btho9EP5tgHM3YPRiwuIi4vAi4zAbh7Bn+iQk712AP2pyojbTM2BdzsO27ylttcLP17ufMsEZDecCoFokng9++2Kne8+FHHsz/uWF72Fp3ZqOP8HcXTXwo5fiIWwLC3Fbf1jmW7Y93k7L+yuE8iwlcJNuzYv7ekOl9TnKzJj5c4yeYeSAlhF5K1I9JOXmuKawxVbalaKTKIEsL1toRvSlYCNGkKUTgoQyVW5L5wLOoRsX9syOOCIs2lKuPB9mkVclRGTOuQWSUlLuOLPGKl+GYcrOK9lbzv/b4UZEZ5zHSbMlmnTFYJ41WMrhSuHnJ/nWSsKvatZt9pdjK2iq1sW9g6zd4qcsk4v/P8QiYQ5bfP8fbScingDUC0jLIvxIHBvt5bWPufE0Vw/3X5GWU6nPx80PVf8wr8/vm9bX8VQB7iJG+9DGnF/r3VNFLoEQV4OxTk7ZBVr92bbm2LLXO6/RqXb7D7jR91tcZVWzqvuBfl0EFC/3aUOqOAqmEWEmUh8SgiHoWk04h0HJBNQkazgHiqCWeKINO+ME/WF+x3ZkfXdSQ24dydc2pPOe3OMC5i21Xs2oqdjF3Ftq3Iu9pv77uaoqvIRUnVhz/2xbghpzmy2iv5RV8beRd2xzEhM2V8n0hR3DuB97mdSvUaQ7HZ9uCX5FtKlrMeXA58ZqnYNct2r3qUY7IoxY1D5o2WIq/Z5xVV3lDuW6p9Q7WTsaPZW+p95/cFpPGUgyEuwCui2l65nAS9pabQM0SRIyq73o61B+S9e2fgWSg/tRlRtCYRcRb5MUpllCzWmDiNiORraUi5r3j5xRWvvriiqaSiCUdnUw/WP3pfQPsLHr5/wex0xmqlPFDf9x60P/SuwXf5CGRqEYdjAezDRrLM4fSh4tG3NI+/B8cX4p7g6PKWy3rDx+Y1n8RXrEzui67vXx/xwYs5T16M0blEkv5kmbDJWqp5wySaEkphPJBzRI7hxqvr6m1FvSro1jV2XaE2Alx1vepyABbzRJOPjQfxD2Mbx3QmplMx01HAt45CvidqYVE87xvYt7hdg5Nx36u9vv7G6wGwH8B6KeQmAVfPAp7/odhzg3pXsf1V5XNDRW1YilrK27r2BCGZimQuyMQlIVAk2pJGLVFYEwYSAyHAR4WSCrSpvYVzI2C+rmiVhD8MZvSe6NI7CniJnVd2Cajm3jpZDGpgLb01XqWlVYjRcoxLDzFBhA5CrxjXYf81d93iXhTYVwW26rxCLR+3rE9rbh8WrB/U5GcdiUuY7ifMrkckX8V0zwLKOmI3NaweK5ZncDvrWISif+8/56TUvLeY8OQ24+w6YXQVEK0l+qG3QU4eBCSPe9A+fWSIznrA5U9qAhjfsOEP3Kf8s+4T1PMd3/qHEyb/cEL+echtnnHLlDwJqceK9eM91w9vuH28Y/O4YHym+C19zN9gxlMBwrQhmsy87X18NEd/IyJIrqE/+gclf/Cf5lRby7f/vYRf/Q9HJFPF4try+lnLq+eWl886Xr/o2KwEHJdzVzE9k276CIkTQzrXnoTxfGE9WDYfab79ULrhZPwn2Im3lu7Fku6LW9ovFnRf3tI9W/bOTBK982CKeTpDnci1SRSKkQfGPTvGP8HhicTxZ7Dwli5EL4n4qe8+1o/iFCLOIZ3YNYsNuHXeNSLNGkJToNuyzxsemgAgkhesj0eeAOOEsNc1WLEy3m3pFku6m/UbYpZKY4KLU4LzE4LjOWY0hrzFbftzFHFGqgd7lMHaf9spnlUpP9rPuNyH7Lcdar3z4JsAM8oJgOmYBTnzpGSe1hxnlpO0ZdxtUTsBoISsE2AmI9R4hB6l6DTxr0tcUlZCxqg1Sye56JoyNVRjcfsIyFPDLjBspIfGO0V4cx3XE/W+3Tp+PYn49UnGg0EZz4MRL68Mn/x+w5d/XPP6s5rNdUW1bQgDSxh1HJ93PLjYM9uuSF51pGVIFIwok4jFuKPIaoLGEkickcTtiGOG1f5c9zEmSj6bnrTqFyBGY3WAlWtbaGhMQK1CSheSt8avG1p57YGQSyzW9Pbh2xctm081TS5RPg0qKTw5Mgks09RyFDmmsm0ss9gySyyhObwBDpW2vsuasUssXdKh4prsaIc+ajFnRwTjM/ToHDM+R6cnPxOwb9sNZfmV73X1wqt0jRkTJ089UB/HT9A+a/vnb3VnebVv+YPXJd+/rvl0WbOUGCUsUdy7Oxn5TIK7vllvwdejyHCahJwlkQfCT+KAqTg0CWFTaapGsa8tu8qxrx27yrKrnY/R2tXWj9U3CSnD6SkEA8lrr/0/iV/pWVTehUtAZx9aJEeZ8eQMAZCF9lWI29IB/PbrI83IO/QEPpqoaHu3gp4Q1v9VPrbLCHmoJzjLxaTTDa04Y/lrkcQKCCoqaypxAOtDZIQ+2hNOeyLzoQkhYBJqxqFhFCgyidIRRzBxcQggDS2J74447DwoL8/fOxJ8w5nANdxsb7ldr1gsVlzf3nJ5ecNe7rUkhkVnPJk/5t2Tp3xw+h4fHD3mYqtwz65ovnhF8/lL2teLfo6JQsJ3Lgjff0T4/kPC9x4SPBKSiKa7XVP+0Wdcff85Lz+75aoNuE1nLC4ecjM9ZpsmlLGmFqecUM4RS6Vav6aMjGIaaR6PIx5mIU9GEY+ykIdZ5B0PDuQ+uQcWq/2yk8/d+s++HMa87VgWlkXR9aSS0rLIK5ZF490m9o31n52QpQ4EKh/FhDg+SNRTb90u90eeHCyxZp6+1xO95Jx0dQ/CB3VNWFcEZUmQ54T7iriwxIXY9guxOCawke9KoqVKITf1pDBxl/NzpoD/M0M0P/SAZG6IjwMS6Sea4FjW3RIHkUOR+4g+t6tQ+xp2LXrX+evIIVbqbsSU/JNjwnugvSGEDVFOsraxauiaoJO5T2Pat4/3a69hmVRZVN6KLdbb+IdKtocYCGHevTkNXX8fIA4ocfi17uIAmwZ0sRFDrjdEurpWPHsW8vnnIdudIp51nH03Z/zdLcWsZh1XrJKKZVr5OCYhtYkd/mHbyv3gEAGx3xb8V//VP+Xyf/T/vQfn79vPbvfg/H27b/ftvt23+3bf7tt9u2/37V9387eN2wIrSntR2Qtgf3dbbp7/RW1gxHvOf6spu74LmB+mxoOJ4VFMOR2xiUeswoTSeG9jUjpmumXWVoz3WzYvrvnjj1/y/c9e8+xq7UHB947H/IUHM753ccSx+G+/AW1iVJZ49YBskyWoTB6L+u00Anlc/sZXS9zrJfblwo8HMoKapHQPZuwfZizOYy4fhLw6gUrAW2AiSnIB6/WIEzXC1Amrwr4B7JeiXrUwSw3vHoW+z9O3BSFp5d7x4pOOZz/oWF2JjbD1kQDn78DTXw6ZPxLARn3t89iuGi6/X7P5cUu7OdisO+yooz2qqY4Kytme/HjDfrahDnIaU9Lq0ttEHp6naC1VEdDUmrbRdGINa0NSK3b2KROXkonKRcyqPaipqTXUorw3zufLVlFJGZW0yR4XV2RS4NNSBDW++Oide3/iX69J9YXnwfL+QBBIxVKexP/uSZsx7TJm9Yi4FZtGQ1AFb0dR8QpQKQXWvWUr6RM72O7xqkmvRLQ9dnzIeG5Un2wt237fF5r6PG7pHrcTUoLkvHus4e14eC5v6SoodNTihi65kSZqMbHYbkqmrsW1BXa3o9vsaTc57SqnWRTUyz3lMu/PLS1WoRCehZjzEHemUScBo2nEZBIxngRk0wCXWQmoR6UKl/lYS1pfDLS9gtK/i72dvDyhN9l0Uojui7Xic5Co2L+/octw3ZjCaXbiquBqNlaKzN8AP4Gxipj4CICIiY6Y+u34zrY8HvvvEWtuaeLW8MrueNFteNFteWk3vOq2b55fvveRmfBYT3ikRjx0McdOrG0rWnnP2oquLXuCQle/6U66FTcA+aS+Wc7yiMebgHDX+wJ723op1jWdZZcXFGVLmXeUeUuVd9SiiNk7mtzRSAE06kH1JBFgPSbNUpI0GXpK5vdTbz0rjwn4LuD8n6aJFer1iwUvP7vkxeeXvPr8khefXbJd7vzX4yzm0XvnHqx/9MEDP168c0YYBV5tu90yKO0di6XjZmlZLhzbhWKz6BWj8reI2DIOYDZXHJ/D+VPNyQOYzRTdNOf15IqvRi9YBTsp+fItdcF37DnvFMcYAX0Ki8tFgW/pxE1g3dKtW+xKiqZv33+dGMxRgBYHgllAlQTknaIUh4dtS31TUd1WNMsSu6nR24qwqEkaIUkNQMRgCy/2p20aoEcBySxiehwzOYlITwIiAeAFGD7Mn0NUgpcRilPFAOSzb7CN5eY25vmrEblYyN5tQ3b2IXf3jfvDnUztN9vDf/43Dl98a8l7IM30sSdyrMnoDTV6N3xPUPLbUpOWMZQCsxtGO5B/egKQEIKc2O4HMgrbwvo8e/MwJ3h3S/DOFh3Iey+uHB1Osh4ktkLeQyU5s+IO7WhiR51IYVlemsZ0oswPMT7WZYzdj6htRklEpQJyFbHuQq6E/KRE/Q9H+5CH+4jzbcR8GTLeaVKtGEm8xR11vYyxAPbfcIu522R++pF7zj91H/OJe8ZoDX/5n8958LuK7T8tuVrHvHZTboJjGkY+PiFPCq4erFg82mEfl/zqI81/Ix3xoUuZhQnJ7IhYwrxRPPt9xz//+x27a8e7v2n41b8VMJbX5D+st8dLf93tVXrlHi5fOy5fOC5fWq5eOW6EKDdMgfMTzXvfCTj5Vsg2hs+uRaHvOJlovv2gB+oFABXgvftqQSsg/Oe3dC9Wb4H4RzOCd48x750QvHuCfnxEWxrq687b8Hd7RyfnVi7kmWG76LetEFR+SsVeMHyJshDClahHZdsI+cqPQ0+1/x27jxuKZ717SnLSMn5Qkx7VBKrALXPs7Y7uRtyU9h4UefM7ZP10lEIqc6gc9qJqL7H5nm6zwZaFP/e8Lb4QC4LQg69KhX1kiWQyeIm4l4nTCaFE3DyEuIAid2Jtn/pM+k0bsmwjFk1Eab1tgZ+/hTATSsqzawi7uu/KEhlLnBnicUDiu1gyD/EoreQpC+hpvQPCaATZSJFkmirQ7NKQPA15+GSKG4fcVI4Xzxu++KHj5eeweA2NN4JyPlrn9CLn4cMlT2avOHE3jBYFzZdnlMUjFukTbsYZi7lheZpQTyLMOGIyFkWypqrVYAXdLxr60fr8Znlctx1B2xA0DWHdElgB9C2hkNw6J/h5b9buQg+5CsAlwFarQ6ogog4DikCzvenYP6/7DO0HAfVIstg7un1Du2v8+36Y0ILUEEwMoVj8j4TVZXqHE7HEl2Otc6S24awrOev2nMVrztJrJrOtB+yDixHBoznB6RlmcoFOjz3Z7aep6gWor8qv3qjq4/ghYXSK1hlGJ2iTonWK0anfVndciH5akznuZm/54VXLDy8bfnTTUrYdkail54r5SCJp+lgqOf5EpPsGcPegu6yTfvJ501Axjvp5bSTxUdKFJBwrvy/OWLItIG/vWNGng71xs/CXnpaFW3Bjb7l1t9zaJTuXe8t+AVGn7oSpnTO2RwTtlH1tWDcNq6Zj3bRsW1GlK08OE/B8FGrkNkXU8LXZUeotud5QqI0nhWltSVTAkZ5yoo+Yqzknas5MTwjFjUycQGTUQgZR3slrGhqyQPvH/k02+ZxuN0s++/JTPv3+H/Hjzz7h85dfcLm+8feKMis/CSa8d/yI959+wIcffZdv/dqvMX3/qQfif57nb59fUX3/c6rvf0b1wy89Yfdmfsb6gw9YPHjEYnrCpQD4VSt+OJRuAO0DMXXvPOEhFFJW1MeH7OqOTd1SNZ0nhchaUQh8Pt7Bf9a9e4xfrw8ZTco2aFujbIUeeqJbMm2ZKOly3XX8eLtgL+S7ZE42uiAOMhIXeKe6oGmZ7AtG0quWtGnJOjkmE5I4g9GYNh3RpiltnFIrIfv2PKhK7kPELj7Wfn3rdhaztwR3xmDXYfLDtkXfWbNJk4indqx97zJNNzbYicZNDEzk+qIJM02UGaIE4lATB33MisTCiANAICQZsdgPeucvbWpU0KLFDUy6qXFBhTOVJ5K0XQ/C123BUi2oVO0Bfrm/nKk5R+rY92N1wlwdM+2OkPwJ669Xe7rrDfZqi73eYm92/nGvyLfD/CqX99jgAnGiEUey/j7eZGMWzTFffDnm+fPArwXeecfy4QeO03lv8e8dRPwa7s4oBA6JdxlF7JqC/8X/7n/N/+of/1/uwfn79vOB83/n7/wdHjx44Lfvwfn7dt9+8VrbtlxeXvrti4sLn7N53+7bffvFbPfn6327b39+2v35+mcH3DuRkEsunYDa4m3vRylESii57Ld+lKKkjE3Zslu37FYte7HtazpCOsaxYyRgRKzYhinrMGEdZ5Rx4oE2UR1NVMdUQIum5NmXr/jhJy/50aevPE4jqtNf/ne/67uoUe+C4D/33yQZgrfb3oZWQPuXt/04AGcCDrXnE/KLEcsHMVcXIa/ODeVEQHfNXGecDHb4R2Tsd4Znq45nq8arYyaJ5p1ZxHvzkJPs60B9sXM8/2HLsx9aNjd9QXc0sVy8o3n6SwFHj6QY/g3L/Nb53N1SVH4LS3Xbj83uLZIk1r3xsSaYO9y8ozrak4/35GqP/Mvf/NtzbddcNwWLpvZ90zTeOj+zKcduwpGbMHVjZjblyEbEPj9crCsFroLSWErTUAYNjShO45YkdczigNNwxEwKslKI7SQ7eUmjGqJxzF6X7CnJkRx5SUcUfdKQJe81SJJnLaIvn1ruu5RzD6bz3/wXqF4x1KdF669tSx3Gpy/azocHlLYv4BWupbTyuGSUdjS2wxyyoYcxcoYEQyJ/s6hsFiXFVcH2es/mesfmes/ucs/+Mqfei0JVisIOJ6D6mcGeGdoTDecBnEm4agBzQyAZwmLPLhmQGLadKOQkLkAsOQ3nZsLD8IgHwYxH4RGPgzmPg2PGOu0zV51BdLxbAdpd5cH2rYx3ttfDKAXsse5Bdw+w/8R2vz9SkccdRaEtiuqukazTjl3Tktct+6alaFuKuvOF8lIyazs4MiEnJuEsTMjEMllyJ3H+tSxUzq0ruLV7blzORjIwfXFOfi7lLMg4NRlnZuT72AjoM4CeMgh+E4vkVQp9BU2zp63FYrWgbWQsBzC/wnXywnuV5uCf2T/XwV1f67cgvhYFYx+f8NbWvCfpuJ+w3e+PdV/MO9gCe194Oc4Mzga4RtwUIu+u4CRrtAx9xqgou5s48MXQNoM2bT2Q2gQd28WexRe3LD+XvmDzxZL9y623vZa/P3o8In5vQvjOmOC9MfrdEWr6VpEolp5P3REX+THz7QzzbMLyC831c8fyRhRgQqwBF0IoAF+CVyAmRwX6ZIWdL1HTLaNJzXmquEikqC80D3mfJedTZHwRVvLYm17B7/M7hSDjVX/99O8jWNUdJNu7UYhSuFdtejA6FJmV7W3691bsHGiWIe0ipr2JsBJGvQwxG01UQWYtE9cy1h2xWFmHyhfYJTJFumQuezvU8ZCXHR+cXDTFXntLdnmBUoT116EDwtIHLL8BzyRD3Y/yWGv9t/S248N42B9sx2VbcqW9DtgX8fsD5qDjPMRD9P8fwIfhscG5RH7Ow/3yPP75D9sCCAmYmdIGATaG4GFD+O2C6GlO+GRP8GCPs0JGEADV0tayFuJN1rW34BdQb4ghuEtqEbW/EaLZ4TUL+aoMKfOYskjI9zH7fcxOxl1CuU5ReULSGNJWEbcKwfUSAZYminSmSWaOICvRcQWu4nu/dsZ3fynrlcLAxu35Z+5H/J79hCU7Luopf/WTc85/r2P3uy/YXBW8bsc8n55TRWdUZeadMva2ZjXLKR/uuXjY8GsPFA+rlJf/YE5+GXP2Yc1H/96e6YX4v/Tn+RsjYz99/MnGxXLsLhcB1zch11chn32WsN8FjGeKb3/PcXTase4UX+0CmsoyX615f3XFh5sbZmcJwXsnmHePURdz2nRGs1bUN50HyqsbS72QNdDw3su0cwDXU/01YN0/NrrzuP8eeWyIn/gT1jV318Kn4zPKz50H6nc/ajz4H4wU42+HjL8TMvooxCQal9d0tz1QL6B9Pw59scOuijuLjt755ptvqFcxSkb7uCdBqomMcZ9hPziW7AtYLR35VuyQHYlxpKkhS4Rg0rDIGzZ558lFdaF8l9xm7+pcQVU6aslxrh1V7Z2e/bEuiwFvPhBKvrGhsSG12HXb0D+epA3jScl4XLC6leM5pm4jbxyfTLT/bB++U/L00ZYPpq8ZbZe0zzdUzyxF/ohL/SGvswfcjDKWRwndcUR8EvLogebpheK9uOT8k1foL9cDcmuH6Ic+yknGw74fxdHZf88QidPI9vAzoliVeWqYovo5ZdgYTtdWG2oTUpuA3MU8X0xY7WKSzHH8pCOYGeow9CbYnq9UiuMM5IWj2XceuPfOISLeN4psHjA6CYjnfXRIHQfUgmK2jqSuOSsLTps9p82OM9aMJ3vMTBT2McHDCcHjY8In55ijk68B9gLO96r6Z7TtytuhO5FVf6MpFWE8YP+TwP03t7WOvYPO54uWH1y2fHzV8FKs0IVMeADZYwHaNaP4ZwPusm2+AVb7OV9IaMsGu2joVg12JfcoFi3r9ZHxxLG32wLeDaNMhkMryHnNKy55yWtecskrb+svbcqMCx7ygEc84CHz9oQvbj5nEdzQzGtuzRXXXHptvrQxY855wBkPuPDjBWPvQ/RvFmj/eZstKpqvXtN83qvhRRXvFfFiZz8o4tsnJ7yca57HNV9VSz6/esZXly9oxZkIx8XsjPeOn/De0RPenTzm3dEjjtXUk3z8tT3Wb0axZapUQ6kkn7xg9+Uzdh9/zuZHX7B78bpfv09jikcXrM8fsZmesO5SNuIi0ybsXUijHLU4WMnavLP+XPCKbltjbI62OZluGJmOqe441o5TrThRIccuYWwTTx4e1wnjKiHZgt3kuKbA1YUfqQvacs2n1Zf8rv2SfxZecxvJ2uuYd5MPeDh6n/HkCdvplEWWskwjuj4/xX+24w5OajhuFSfNYey3Z+LGM4Dt8p4ETxLM4xT1NIbHqQfYZf0gTgx+OSOAft5RiV3+ovWjWOjXq5Z62dGsWtqVpV1LlJO8L8N040kJEs0hYL5G+FNdpGlD1fcA6kDRybwbK+xhlO+N1Nd6kGoi6eJQFCpPjIkEvFd7OrejtVsau6G2a1xX9kSl1jFtR0yaKaNySlqOScoRYZlgS+gk4mEnJPWGdiuEpJZu3xHpkpHbMI72jJKc0UXjHZDa/YaiqHl+e8ZXq0cUTDh6FPCtv5by/l+bEInT27bCinNTLgvb3hlMyfq27fj4hx/zV/6P//17cP6+/Xzg/N/+23/7zYFyD87ft/v2i9eKouC3f/u3/fZv/dZveeXFfbtv9+0Xs92fr/ftvv35affn65/PJkXIxcpxed1xeW3ZbMVyHI7nmoszw8WZJokd233HZtf2fdt6lbcUMUap8Vae1599xZd/+GM+/f3PKPOK+fmMX/6r3+GX/sq3+eCX38FIofFfoXm7PVHXv1q8Be5l2zsHOJosJH8wYn2RcH0RepX9/izFhcaDZhkhtgkocsNmp7F14FXH700yPpylXIx7Nv+h5RvHs49bnv/AsrntQ0nHY8vFe5onfyHg6OFPAvV3m6jJy6WlEtB+AOzL246ufAsOCGCf3OkewB+JjWrrQXuxrpTCzhflgk+KGz6rbviyvuWFXVE5sTmETI05YcoZM55wxJnNGFmD8QXpHhjtk5t7dWdtHCaUzyxgeX3lv/708SNCj7D1wKcvOvqsVkutap/N7ruuqJX0xoN/4gLQ5zz3mZI9NNqrWa3kBgvALhblToB+seHsbVF7S+fe0to5yYl3qNziRCm8tzT7ljYXRaNsd3QSWZBbWrFKl9z3fUt5U1Le1n0hfVD9chKgTkIPuKuzkPAsZnyeMXswYTYdMzUjjsyYaTBhpsekJD7zUFQjklleuIbC1ZRilepK9m7H0m7ZtSU7W3ogfGelINl5wF5g/DMz5Ul4zNNgzpNwziPpZk7WJnSl2P+KInMYh31viSwu4fIZNcKdsV411LQSP2H9vgDxAir02cZD3rF8iu6u/0H/Ph6UxGInasX+f6BOiNWl6P48mcFbeva2sneLykJekM+pch21ZLYP2wcQ0Sjlfy7yTgx9rvfBxNYlFiugTtrb8nappY07mrSliTvqpKGIasq48KodbOX94FXXYLoWI+QL2/VFQNd3cf71oN4wmrtd1Ixi0ymWxZ1YFotNeW/VKTb5otjz44Dmv/kr5Vg1w3vVMwB8tbPrDLYLfJf8cgG/W4nyMNoXO9tQUynJo9+zuNmxutyyfrlh/Wzp7c3lGZPjjMl7x4zfPSI8TWmmjsWkoZ4oomnAw1HKeyrjURMyWRn0RhwDClpXosKaIG68Ek+Uqv6dFVKVz2AQgEh59Z8TUoEASJ7PoGmtoewCKiGEiEVwoJCEhzaCNna0Cf7913HnbfcjiQ+oNGGpfZZ6VBlCsSoXcFcMeKOQ7v/H3p/E2Lal+X3Yb+21+9NFd2/c9t3X5nuZVcWsjlWkRImSVSzLGnBiwAMLnskTjTwyYAE2YMDQxCPD0NwwCULQwB4ZpilabbGoIiurycqqbF6+7nZxo4/T7b4xvm/tExH3NdmQmWSmfL6Ldb+19zkRcc4+e6+9zvp///9/1FCNCuqopA1LOq/WBfRSFpVrwzIPWS5j8kVMexrTn0R4lyH+4N0+DRp2ooZp2LBjW8de6zvSpsevOjy1RZAFfqsGtQqkyLaY1YoBrLBvNUsBgixC98q0a4OO1m/pgo7GNrRBQ+M3NLamFslfX6TuG1VDEKBNAF4pZLn2Zx+AOLnWHOlOjvHGTHwAxeV4D8xY8QuXgiAtRhJJ7AbGxz3Bpx7Fi5B1nrCqUtZdQmOtniP1PmQzQznuqCeyYG4wIivcdaRVzTivmfTumIxmBnunpry/4HJ/xWK0JAsL6jjHp3MMXtFK6dz4ImOGWESUi5Z80ZDPO1aX0npWVx35OVocVl32urDf5jKwqK6AVtyI7/Zo7y7v/LU3+Y1/+y3+1t95g/07sY4jH/OSb3U/4K/6z/Qy+TqP+e1n95n9Sc7JH39C+ekZy7bl2Z19VnceEyT3uDrvOX9aa2FQ3XUsHi755N95yvqNtfpER56vrFLNIoVv3Ngh16+MOyopbKTQz8lbh+KVjSFqDXHZk5Q9UdESlD0PTmr4vsfTH8Z8eDolawMmtuSdO3Om7wdcPrzL83BP2cz7veFhAfcvOsLlzVJ7MPMID6Q5hQHJsh3sOE/6f5VzYQFdhEm//F6tYH15InYtkL7pK1A/fj/U1/Zlr0sKKB170QH16g28AeJVpSh019JPEWdXPR9+XPPshyXFWcm0rXgjrdhPe4KxJRyLVYslnvoY0dyOfUw8ZN+jmS+pP3xK8f1nrL//kvVHp1SiGtL7dAcHdHf2ySf7nLYHnF3EXJxZGikGSn327gc8+cDw5GDFXvYS//lT6h8+p7lcUXZ7HI1/lRfeGxzbCWdRSB95RDPLk/d9njyxvHHPcG8f/I8uqf/7F7TfvdDXaH9l340lyrzceClv+lJEMBSIyfZm/62mlhHaXCGoNJnq5m3Hom6wVUd0sSY4XcCZU7BSRulVzelyxrfnT1jWCW+lCz6YXOpwNnjGuL8dePSBR6vgu7hXW7UMWhYeywyulrCqDTIa1EKPPUgwhwnsRer13cmA3vckdcV+teZgveJgveagWpE2BV5Y4I07zAS8cYAnliMi30KlcwRHW/boo5Y+7OnDVtVCpHV+Qy/N1irf33s1nVfd3IyHMUULb4yA+NKk8CehFeWqIMUEKXgjOhPTepEWbrQ6D2x1HlPlFfWiopxXVEvX6mVNva4o1xVN0ai6ktjbNCLjnRi6kSHyRElkxL15yuFVovOAz4cc29fA+k3Wvsd6lnGyc8rJ5IST+JjT8JhGLSVaLi4u9Xe8ufsm9/2HrwHxKSP+VYbIq3crUX3KXF7ezkN/kxeZys4rEO/7+A/v4t8/xN49xN+/g5nsQNHr3LrL2kGJp6XXebQUVRzz2fw5n1VHPK1f8VlzxLobihj8hPvxvlM76itKmRsP+QvHflMsJHMtUdkQVYW6IWo6lZCP4xHpdI90b59o/5A+PaAOdlRufq83HPQBh43PbiNge0IsVlXLSq0+FHAXsL0Wuf5ctNihL7T4TNSx+rpwFayq+iHy8u4683ZG+Pf2tVlph7s8Cwr++PQj/ugHf8rTk+eEQcCvv/Or/I1v/DZ//Wu/Tm1jzvKGs6LmtGi0nWmruRSf9iFkaEjlPYulSNZC7rJYGGk9pC/FXu78s6KUMbZ4Mt8ZjtVmaHL5ZluHq3WPXfWMasO4M4xaT4vxtCCvhrA2Tk1Jvk/I96K8o87EQqqjku1iU9S4qSe6BfbL+SUAvkwxS1fwK98xhnqma7WY298yWr+njTpaGTNiseLoIGkJYkMkhV1pwDiNmKQpe6OUVMapi5bi44LFd9e085I+r4l7AepzxqOCyb2O5KDi7Kzjox/4vDod6xz40Rsr3v3dgLu/fYfgyT38+3dcEW9Wcf7imP/0//B/5P/6X/4XW3B+Gz8ZOP/3//7f5+HDh9rfgvPb2MYvXhRFwX/73/632v/bf/tvE8fxv+6XtI1tbOMrYnu9bmMbvzyxvV7/xxHC7NkA9afnnZNaDw37ex77u65NJ5AX3Wtg/Vp86xUQ61geveLoe5/w6V98RL5YM5okfP133uXX/sb7vP+bb6sH9M8iFKi8WNE8O2X18SvWn5ywenFGdrpQZvGyrmnHIWYa0e9EtLsR1V5IcRCS78esd2NKkd0PLJEXs+tH3I1i7kUxY+skw4W9zCLg6Hs9z7/fsbwYgPpJx903PMYCrE89XcQOhF3iyKKab/edYqT41DowJT9vWR/XLI8LVqcVVV5Ty+s1NV4qZtatSsem45h0kjDeSTX7kdUFxRfdJT+sT/m0OeGH3SnHZk5malrxx/RjYj/l0N/jPXuHR8xIW0+9yrO6ohUZT2WuCpAr67UCrPe6ODLAOrqti7ISmm8xca9lpQUsFtnchmpdUa9KilWpi6zCWq/zhiavdcG1GnKTN9TyXqU/tNsLI68xSwViji1+7OMnPr74vGs/INlNGO2nRHdS/MME7yBSRkltDbXvUXuGwoO115KbTXnCDWArvE7nOTnw+RU0cn6UIg9/zZwd2L2yHmgL8EowsvhVtHh5jynALw1+YQlKS1KF2rze6u8RBQHfWJXI9WIPGwnw21PaltzW5J5IpzbaamkCilq3UC4L5K1taDx5rKKU5olMZevAZmGZBC2tsKK9npF1NhELobSIgom/z46/g+9NyHsBoEUJwPDQjnjsjXjkjXnsj5gQXmuM6wJe23PZ5Ry1K44baWuO2xVXXYGtLUFhCQufoPCJCp84D4hKX/dFRaDHYlMCcO1CK7hRLAoGHSYWH+Ves5cI80j2tSrHibz0zGDWhj4zrp95kFkoB2b0cI7o+ZfUEDv/XjNkL2nxE2HG9lgR/RCGnjBl+05UNrFy3osceS3Xo7BpneqIMP21dcICFERXANyBpT/8Wbk6msbj4rLg+NWak+M1p8crzo5XFOvi2v9criV5tjADk7ElmYgEdEA88RlNQpJRyDhNScIxESNCb0IczBjtjBkfRAS7lrnf8FG+5uNlwavVmklc8XA/QBSvRb1EIANZ/A7bVhfD1RJ30KmQz9naCM+PsH6Mpy1S1qNpQ/q1j1lburlHP+/oVk4+XxfvpVCmb2mSamgldVIy3y+43MnV17kOaiF1It4YUhRRFSHlOiJfJiwvEjIB8rOYPA/pQiH8N0TiJS85kNy6be27Fmi/wg+aW3z3jf69oakC2iqgKUPaMqAdcl8HeI2PaTz9vLrWDr4TDnTvGle0IUUOveyT3Brq1iB/Se001MtYrDbcj0nJl7L7jFEbmK70iJuOh03Gw3rNYbFiPxPqsKE2IWUS0Ips9bQjPuiYvN2T3OuJdmv6IKeeL8iv1hTzNeW6pBLLAVG8KFuyQu6fNau8YVU0ZHlDtqrIZExtxONYrDeGahOpX5CCuJkApwHRxBJNfSIBU6c+4cQqEOBHIbaPOPuDlBf/ncfx0Qnrco1nPQ4e3ufrv/MWf+P33uI3/81H1GGr3vQC1J9yxQ5jfsN7j9+4ekz/p6cc/bOPKP/qiKysuNyNWHxwSPLobQ6e3CU/XHIyv+RsOWexWLJa55TrjLqoCMuesIK4hHFjFWzQy7WESFjbZUegTeYOm8KjG4CgsXB6EHG1n2Jnu0TFGxTH+7x6EQgpkmnY82jaMrrfs3zgc5wGqkpxN2l456Dl/bcMu/sxfhxjw+gnkm3+sfMNUfbpZKwQmXi5n7UKjEhuMim+aimWNc+OP8EeFPy13/o14iTFiFS89Yds9bUIY3L1g5rV92qyj2vFl8I97xqoT9/yFeT5VxFXy54fPO35wWcdR+e9Ci5tQvDccWqYpjAZGaajIacwHRkmIl8v0/2up3l2TPXhM6ofPqf68Dnt2ZX7HftTvLefsDx4i2R9hv/Zx9TPjvVn6jDh1eFv8iJ4mxflDmdyr+qMyuM/mrW88xsRb/9mzL0D8f6W+0JN889e0fzBC7qzHO/hGP/feoT/m3dd8c+XRNd3rJqKdVuybkpWQ5bt5ZA32/r40F8Nz21U+uMmBGBzBSgBsQ00C8s0WrWE/8MO5g/uawHa+I3vcxCeMiknjKoRST8m7sYEjXhXS1GjK8rywhbfb4mlOLLqVJWgFNBNWtVTNIa8t9oEtK9jS5la8iSkGPtUgYx1FePqgt31GfvLY/bnZ4yqDM+XOW6sRVFiNC33p43xtIx8ud+TBz2F35FHhiI0iNBMFkEhc5W4px1Bl0Iv922pNYl7ZLohLRB/9BBENEWI1bdD1GJWFSyrm7ysjevXsJbbrFyXImF9LQnv4VtL4HlYlco3ZF7Hyoq3uysOuNPHPGhTHrQjHtQj7jdjHhbCpI4wtUHw404wZLE3EBxXmtwZxXZHJiODUs/iuYTWJwABAABJREFUcMX54SXVy5LZ2ZSHu4/UJmejFqQxsPulINXVzbw+F97Mj7WwQ4pN9Uk382fTtnRVQV8U9GVBV0o/py9LegGfK8nFTRPFoduhE1cBnCNMGLsm/U2LZphwF/zpF2wONEQtZyoFGy1MGhg1kDT0+j1DwNaKPqwhkKIMAd9XZM2CssmpRJ5HChfbkK6TuUMCXYLXpvjtCL8dE9Zjoi4hUiUvn7AJ1OO8FyuDqyX186c0R89pj1/QFZn+Pm90Bzt7oK9fJ9ciry4fUlcO7PdsANydzccmC+Bud8Z40xHebIydjfGGbe3PXDZjsWr40WPn0fkx/8N3v8Uffe9P+P6zH+IZwzfe/IC/8fXf4nc/+E0OZnuvPb/ues4HoF5A+0yVfQY7oAH8lu83jSg+XNQ0lzWNKD+IlYb8AikS2QnwdgOpfMDMfGf7NNzwNipBg8MFy7rlqmyYiyLW59BjsUjYCS07kc9MsvYl+0ytx6TzFNiX+bSA99ctG6xb6g5fvo/E0kTFyWUTimWaodTptiE3UpjUk1WuXdUl59WayypnXlUs64Z11VLJpGm4KHwtK3T/J9awu/TYPYfpcc/4kwr/eYVf1NiyIgkKxqOS6K5l0VpeHluKrGcSXPFk74gHe+fE92cEbz1gMYv49/+j/xXfK6+24Pw2vjq2nvPb2MY2trGNbWxjG9vYxjb+xxQCzJ9fdpxddJxfdFwKiCP2vL65Buql7ew40Gx5DdbXmquq4/z5Ca9+8AlH3/+E+fEFcRLw9d96m1/7m+/zjb/+HuOdG1ZK27Rkq4JskbFe5uSrgvUic/uWOdkiJ1vlrIes+5Y5lXje3Q5Z5agaUV/UXOay4LOR+x+ksoen9sKMEqamLOrG4i0egLDoZyF2J8SfRgoMh0lEmsQk/QjvakR/MZaVS/VzFUnjVoD1rlY/7q5z/a5t1ONPHmvqiqaRXNMOWRf0Nmsam7U8XaG5MV12vr0364BhGJLEiRa/xHGi/SiKCeMIKwyzwL0XYXR6wq4TiWlhYFkPa2WxJGTqx4yDQBdkTGRU8r2OOuZ+yRUZ5+Wcs3LBPF9Q5Rn1KtfWrUoxEqVbVdradUW7FC9yJ1v+mg95YPDUU1W8VeW1WILUJ0gDgiTQ7KchfhrgpQK4h5g4xEsD9Rjs45A+tnRGFkqFS3rDKJQF3KSX+gUPIXHEnSFspaFZVLtfW6IUJr/t1Q+6sS2t75j8AkKj6s8GL/fx8xB/HRDkIV7hY8UnOg/wFOzbMLKdPLCw1IVN0gQNbdjRBi1V0LAOStZhwTrIyELpZ9oX9q+8fgHp5edVQ0Bel37MAzA1fM5RHxD0wjj1HbPZbNioAakAAb5PIqxUa9WHMggM1u/owobWa1lR8bJe8byc87S6pOl7Rl7E4+Au+8EesTdj2Rnmg7ztzAt5w3dA/WN/zAObXvvX345CbAf6RtmuUnCgn8qXsTyF7V/2NPlmYVD6g4LA55ouFKrP8O3PC/zUEIxcExnoYOS9ts+mwpRrFXTp9JpraDq5DlsqYd+J3GbZqvy1tKzqWNOQhRWZX5GHLUUgwERHbocmVs3D4r+cyiE9467jTmXYLT2mlUda90RNT1j3WuDiSXPayLSlJVv3LOYtq1XDMquZlzV5WVHVLWVZsi5yFsWaq2xNJjrHw9p+VPuEZUBYh8RMiMOUZCTKD5bpA8v0IUzuBIx2YkaziHQaM5om+H6I9XzXtNBEVOw7MY/AyGAtOt5acFAro61rBKV4fSnS2GAA8AXMFzZkJFxmTB24VgT0uXUAx9ox79q85syseBavOU7XXE0K+qQi9mtm4v3ad+rTLOf6ZmFZz/MN3i4L2bXVVg+taix1YykbSyW+0a0oBHiUjUcp19xwrl2XCl3L17vmC6DXWKLGI24FJPAJGp+wswTtTZYCho0Xuns9kkX6X7RqxUO+oO3EniGn05N4TVOvqcT0wxSqAmFa0a+v8OsKMVgWxroszBdZQ1l0QxMlDCebL2CssI2tjMuBjMVOHcEKTuLLuOyRStFRYol2fAe+7/ok+wHjHZ8k8YlijyB2N4ra66hsRxm3Cp51woIV8RNfxknPyeAK9GZbHetWmc/6n97l9P+V8Pyjc16dP6MR6drQ5/G7j/jmv/0W/+b/9C3s+5Y/NT/kL/qPaWj5mnnEb5n3ea+6R/6Xr3j+Rx+S/ekzynl2DSp8/uLdsABrUZ6IPMoA8hCyAFZhx9rvKEOoRJ5X3lMS6fk+NhNG/Yi0TAleTbhoLEdBzUlcsgpaGhnYTU9MT7qMSS/G2DPRPwm4d9fyxrsd0Z2O0wqOVkZVEvbjkoejjEeTnJEwvmuLtxRUTiS/nTWEzHMED5MmlgSCCel2ba5z1xiXte8N+76Evbs5QbXqTZQ1akb3a9IHDaMHNdFu4049T9jdFs93gD29T/UyoHjqU3zm0a5EVQLStyzjr/mMPwgIdwKMAPzez4/1767NnryE5RoW614Z3ZqH7cUalpmTa96E4GcTAfBHN4C95FGXE5++JH7+DO+jz2ievqLZ3+f04Qc8897kebbDSeYrg1MKje7XJY/jivd+J+Tx354S7N4UcnYvVtR/8ILmjx2o73/zDv6/9RDzZMLLcs6fzp/y0fqEdVOxbIsBbK8053K9fkWkNmTkR4z9mJEXqr3MrJdROGAigKNaYEgho6gB1YPtj7P/KUzjFGdMTSV901JLMV1msP/wCcGf3qV+tGD+d/+K/I1Ld7/S+31LtA4ZzUdMrsZM5hMmF1MOjvcIcosVtrJdkJkrSn9B19dEqxHTxYTxOiIpLGkl18LwIcipONgKlKED7bOxTxFBldaUUUaeLMnSS67inIuw5lKaSIPohz54xugc1Fl7SyStWGhYnWul9a3cWJLWkHSWpPdIxN+9kPkNhHFHFLcESUM46QjGHf6oxSYNNmn1vu0pA9/d++SatGWAV/p4hcVsmhTm5Z4rzqs7Fn3FkS14GZS8DCqOwppXUc1x7FRs9LNsDPczj/trq/me9DOPO7knltxONcUZ1quShfPrETWdzY3F+RY4f3NXfKrHNhDZHneMxU/7ejvQS3foi2XMsG/zmOyTn1fJ9kGtRYsEZE4eXGfPBjdZiil8sYOIMFYKK4bt4bU6O5ahUkt9s8QovVGAvZdqqAFkF59xUT/o+aKNgYQxgbMx8KLP5U1fgHNRFlrTtittzZC7Nvvc7wqx/hhrpY3wNY9v7Rvr621enF771Vd/9amqBCjQruD6BnCX7RugfQO+e5NUxz5V2+obtWdQSxnJr20P/cHD5EYpalDPGLY35aMSyyLjB88+4rvPPuSTo2eqxPPg4B4fPH6Pr7/xPnd2DobvYjc/4916z2qv9BVjaXdeUz/LaZ4VNJJfyPdRd4H59yL8xwn+45jgjQR7Tz7zz1k99D3rpuOqbBWov6wcYC/bV5t+1TIvG1cweXts871b4P0NkC/7nWJ8r0UHqs6lbkJijzRsa11yf2ufsOtvtuVvqa1Q16s12ULH3Ipc5MBMjbW1q2buWy0W9UTtQnT485jwKCF94XPns5q9ZzXpWUdYNqoc1HstmRewbHwtCore75k+XhGtn/HJn/wx/9t/8p9twfltfHVswfltbGMb29jGNraxjW1sYxv/Yw5ZxL6c91xcOrD+XDzyGuebuTvzrtn1IonvWyjKgV2/dKD9y09PefqXn/D8ux9z8eyVsqAOHx8oeC2s07qqv9TFMUojZd8nYwGk0ms2+e02GrI+Z8jCgJGQr961gvQVxSqnOJ5TnrpWnC8ozleUV2ttmbRcZHudj3cpst/CxLZQeVCYnrzrKLuO1gr7xsPzLX4QENiA0IYiAk5oQiIvIvIjkjQiHkdEo5B45PpBGOjP+L7LNgi1b/1AJeYFdBOAZ3GRsbzMWFys9RiVRU6Z51TSykw9vusyp6pkO1dmn7L2ldTaKsBS205BkDYyEAkDPSSMYrysp1839KuGLhOASQoKXmeIqXe1gL+jQSJ1HGAmAUx8+qlPNwvoZ+LbHmL2QoJJSjodMY6EuTIwlURPQRmpIpPfUeurGlhFm2VGY4jxSQSIxpKagMS4nBqfkTQvYGQCZberLLInnsuDPLInTDaRPIdu3VOtW3Jh8Oc1pYC1VUPVDMUSAqR6ItvqmOKOES2LtWJ3IFLnAm7JoqqTQ+89WaAdtod8oyowHKMNq+p6/W94zsCqEtC8kYV74xYMleEsQL+C/tJ3WdrGN/s1o/XrbV731tY15NezvH5hHm4W0y7DJa+SC46iM15FlwoqxH3MQb3L1EyJ/Qll7LGO5Ji4Jd9p47MjMqNdwEEXMjGhFgOksc/ONGIq4KEfMJztmh00/NOHLJKr7H/ZDyyeQV54uHZFCrkRsL8UyU65lltWZcOyqlm2NSuxG+hr1l1DbhoKX1pLYVvtlwLq2dvsVyePn6h3t3VZgQfLCEPae6SysCmXi2kxgqD6DSbo8KTIQrNItUuhko8vi+qeLGKLDUNPsxRfYcjEQiO3rHNLnfuYzFdGmRwlAXwsHaWXsWTOOUuO+ysWzYq8zAnODcGpwZz01FeVXuNNW+rf9MSHPuixYc9kL2K0J2C9tJBkEio7P5kEpLNY9wuYH0kRjHFMRLFkUEVnxQ3E71XsKZxahumkaKWka2RR9daSpTzfhtfgvWPiyxgri8mOjb/IDT9c1/wwz/m4Wavvb2wq9mSBureUnaUSEFL68u6NoVULDOepuilE2thr3Fo7v+5vcAkBuYR1KoiH19TKRKQo8QRVLEsoKry8wqtKTFnjFTVGVDqkkKtsXV9UEwonBS8KClLEIQUdg7HHrSz/DQ7qYhXhC4girLeAJgipwpA2jjBxzDhNuBuE3Lcee2VHKOozl5amSWi6EbWZ4McJ4Shh5+2Una+lpAeWeBeiriYscvyLNd2zJe15oQy3OuhpDiz9PR//jZjgUYStW5rzNc3VmnrtCgdE5UCUJDqxmwh7VzAUdhSJRxn2VH7L2qtZ1CHjl0+o/z+HfPQ/XPLxy2dcXT4X7XRG45B3f+UNfvP3nxD9LcvHj8W1+RwxARE2/W+ar7HHhOLjUy4+PdV7iRRYBWlElERacKUS61IY9jk/aQlh7q1f1Ry/WHL5ImP1qqY5cbK85RqqpaXJrZ4XjRRA+a1maXK+dL2nFhQClcp4p0rdpVW1Dlv4bsiNRD2jcddKH2A64d7KENASmobIa8Q54frEckO5y+oB7g/NStGTQW9hAroJa1suHAHohr4yHyWL76/0JfsGf9niv2ywc7nHGprCqYeIksfobsfoQcf4jY7Rmx3hnhRW9AMjv6UVy4AzFKivnkdUp4L0QbDXED0qCR/WBLOQII0Jxolro1QVZVzdyc+fbS/jaFY4AH++7lgsYLHsWaxkX38N6iuA72r39HqNPZhfSVFWR9z13GtrHhQ5b/QZD94PSP/NXcJvjK8BKvEgb//iTFny7UdXmFmE/288oP6dA77dH/MnV0/5k/lnnJZL7qxC/vrqLtM+YtQHpL1P0rkWd258j1qPUO0qDIEAyo2c9p0WS4pyUSNzBAYbniEPvNfrcKow5kuy94X9l/OQ73x/xnwZ8OR+wa++uyKSQpqhEFNUW7qqoaukoLMlSzuyuKMQEFIYyHlMkIm8jKhC+FT7UBy2rO83LB42XF0aiu8GdB8ZzIsee94RFQ0JLYnXkUYdSdiS2I4YGducyo61Pb7tEWy4i1xBZyty+4Gll2JVndsaZEZetSKKL8Nmr9Y7WtBSdXSiPCN9KUDqesbTmul+wfRezeyxz87jhJ37E4LRDC/ewcQzlb0X4LS9Bny/JDcreqW+D/YjQpj3A52HXtsuDRMtOcoCEBZtrcCgqENJXrWuNQrkuluZ2FuNGFrv6zky6XwCUVUR5FwUSkRlSQq0THu9fR03Pjm3+gOrXeZug52Qy7f6UogjBbJq6SIDi57Zw8TTqTq5aoihwFX3bTTGnbT4F59387gWr34JyG68CDvk10F3yeGPBJSLdcdS1L2uGmcXI591N8igy3Yj98uCpsmpy5KmLmiqkroqaZuSWhS6xIqjlQInsecRRZtATjb6Phz6gaoaJeOOeNISj1uiUUMyrolG0iqicUmUlnhis9A74N1VWPy4kOIPGbQHFYOhuaK+69LsW2XaNyHX4TJbMc+WrLK1zjWiIGI6GjNNJyRR/Jo1lI4JUtBqJ0NBwtQVJ/iy7fZ5cjPa/FUpBjsuqZ/mNM8LmqcF7atSj7uRe8eDWD3sPSkSFymKUBjtUkgtBVtDvr1PLYLc6xE2vwD1DshvuBTQXrdvgfhVq4C8hFWnClGrENUKcRQyamUlTVyGJMs+fc7wuBRHiyKU3gqv1S7c9uZnF3XLae4UBs6LWsdR9220ZRTXpHFJFGUYP6e3GX1TkrwImHwnZvbtkOTjCHsS0eVD0abUMk5aXh3M+T/9V//+FpzfxlfHFpzfxja2sY1tbGMb29jGNrbx/08hizWyICvsem0XIsfpZNFn04FZPwD2USQezz2rzAH1r17M+ct/9iEnn50ocy5KY13cT8YJ41nKeJYw3U2ZzhKSJCAMPcLAI5IcCsj081mE1q/pq4LuYsnqZMnZiyvmr5Z0FyuSdcasyBk1tS7uy8If96YU3zjk4oN9zh8lzL1KZcUrAbnU970nLALCdUC4CkgKJ3u+GyTspDGjnYBkZlUW3w4LLF8VAlKWucid9pSZZCizTb9XOcD1vFRlgUpA/KHVVa4s0LrJWHSXnDXnXNZzrEjETyL8UYQ/jrCpMPBjgiAlChLScEQSjImJCGuPoJJm8cW/uvQw4tWsa8yDHLG8xsCxOetAFjZlIdj5ZAtTSpv6LUrfsa5lkUdAHPknwLCyyZ0atf68s4N2stPuMbfPCkGocGwtPxdZedesrOJssL2BGNVG0PpDU3a0rPcaZTp5YU8gi9cpJML4CjvCoFNmuhUZTQFoRHVAPCTFMmDoy6J273dUXk3pCWtOWHQVpSnJTUXhuZybks7IkpS8brdA5U40lwTsU2B+YOaHA2s+6O2QXd/vffzOx28ttrF4ra+MftfkTcpivlyTnTLIN00KEYRpdCOX2SnLb20q5iZj4RWUIu7d+ER1QtCk9CZmFfZcxbUyVisBJGufyTIiLgcATIAxYd3FolNdY5IaT9hyaUsox9L3iQj03InlPbUhofict/IefM3yPvw2wBcGaiNMVGEINayamnU7AO79Bmi/AdxLocCJlL8sil9bSBgt4hh7AWPrM7YBkyBgGgRa1DH2pMAjYOK5JpLCCvhXAsi6AoB26NeaO1cUcP34cAx1sX/w45Tr3+8UrDd+S2A9At9ihSF93aRwRxiyltrvOKbiVZlznpcs8pows6TrgL08YppHek7L7y1pVaVgFZWUUaMgVysysYuG+rKmPq+pioJaru82o7MZbZ/R1lKokylrzEhhiTIBez2PR7OEkQD2s0hBfAHuRRo9HvsqT+wHHn4gLO2UJBmTqjJHSKTFQrKIK+x7B9xLUZBkAfK/COI78L7yAs47w4Wc2wqO9gOrX+wVegeGiny+LN5mFXUmVhglpeSs1sIa8SiutN9QaL/Rx6XgplSWekMzsNBultyd6oiadMjrCSw28rGi5CHqKOLBHFn62KeLfNrYVw9olwM6kaiPAxrpxxHeKGRnFrI/C7gzDrkXhxwEomYREGQG/xzWJ3L/6zlfGU6MZamAScA0sjyJDe91DQ/ygsnRmvX3C5anhlURkfcxpR/TmMD5eUcWLzTE+x7xWDZroqbELlYE8xV+X6lKRr8X4j0eEb4zI/n6vhZOyUJ/9TSjeZ5Rv1rSVGuW772ienJJm1ZUkaFOfLK4J7clS69mRcKd/C0Ov/M1Pvz/FvzFtz/j5fEzssULAq9jZzfl7d96QPp7hvPfXtMdGt7y7iub/hvmCYECIF8MKbQpjxv1VS+Ph3bSauGKniYe6gHfRYbVFSxedtRFT3THEP16Q/GNBdVepXMMlZAffHFF7UT6TduxqjtOy5pPs4qX64qrFZjnCelnY9JXIrkMZnfN+F7GnQOfMJhRdyO9OfhxoVYihSfjYUdpRY1AZSQUaLthVwrg4KxOpKjFZU+ltyWL9HZkPSLfI/Y90sApmpRNzyJz93+xzzB5y/isZXTaEp12eOcdJu+x4h/ud0zSlsldmDyyTN/0CQ5DzK6Pt+vpfWv9acP6Bw3rj0S5YgPki8T+ANoNUuvKxhd1hlDOI4sV/3XfFQa47O5d19vaH/LwPL2G5F5Su9cuAKxk3Vdt3tPN44qXfQm6IbvUpURkyY3RnGPYT1oeNzk7VwuiiUf02zOSv7mLvXOLJT8vaf7wJc0/PaJflHjv7nDyWyP++cM5f7x6yveXr/Re9m55wO/91dvc+csx1VFIWfnEUUOUNMSpNAf4RWMn4d0FndrGiApDJaoS0lcbGVHXcSxosX6QoitRGgqk+Mr3CbUIS9RJBuUCgeI1O4sCLUTcKMkMj+vnIQe0gx9+C779jx3M/83fC3n/t4fnDgpJAm4rFVWKhjLX1gIQ5guy5ZrusiVZiKVMQFD6WLnvy1+Rz2zkY2cBds/HF8smLM/ODC+O4egEjo9bLi876sYVY4WmJfJaBesTr2Xst8xCyR1j25JIAUvfEqq9y+cIx1JQFfg00kI3fkpf1Kdy8ZJfiH98o0VeMrbLeC82JvKZxFFLHPaqABLFljDyCaMA6wkrXKoEpIJzYLTXAsa2100PolR2TKVZlyduu58a158YGLt5pN4F+o6sLbmU++2y4XLVMl/Dai02bJa+jLX5TYKflNjJmmCaE04KgkmNL4W2wo72QkIvxLcRgRcT2YjQxsQ2JhILKS8l9cPB3sDXIrifVygTWz3EXZP5nahh/TTfhcQuYXnesDhvWJ4N+bxledGwOJN+Q13+GLhS5uD+TfGSqKnJOCLfYUQIRD3XPVGjkXlIjfFqjKkwXgVehRH1Ga9ChGeqdUAhbeVrk+JS936cOoD0w9iQTKR5Q7OkU2n+0AItThzNpChRvkcGP9Ux0TndIBch1+KmiLMoS/7i0+/yx9/9c7794Xeo1yUHox1+/Y2v887jR0wfBYxHhiTo8L2arltpcYkUmtwG/qUoQoF6BezHDshX1v1E+zQB7VGpQL2y7F8U9GIzVHbXLPsfFwrcK2D/OnC/AfT7EAX1iXq6wLii8MhXYN89T6wTbsB+13dZt/8Fv28LC/+iaBSo3wD2p4M9wIlY+DTuHibfjnzbMokbRnFFYnJGz3LG384J/jCk+zClW8X8r5/+zhac38ZPBs7/g3/wD7h//772t+D8NrbxixdSFfvZZ59p/8mTJ8pO2sY2tvGLGdvrdRvb+OWJ7fW6DfmKu1rfgPXCsF9n7mvveLQB6w0Hux5J4r7s102n8vdV3Wsu6822AP03+wXYvx0CNkWBuQbtbwP3YWBcX8AmWTT6GYD4i6Lls6ta29VlTpJlPC4zHr46ZufTl3hZiUlCvA8e4X39EdX791jGPYu+ULBe8lVbMK8L9REW6VxZ1A7XPrEA9mUoYtbshDH76YjdiQBoliB2APFPE21zA9i/BuLfysKMWYtUfWdUIv/LjpFb/BO5w26QORwWBBV0d6xVsT4X1rrfC2NCQDdncWkF0BVG+PXirluEvolrGvitXcNC9cZX/IZc5IomhjUq6QqY4MUi6SmsRQdgVGKxaHrWwuoTVnLYa7GAeLLLgpR4m0vuhbmmi/HCyHQFBJ8PYX/MfJ8d32c38NkJgqEfMBEA5MecU/J6Wy2maFlnNeusJMtqilwQDmGcWKx4q3rirWrVY1UAH5V7FeBEixlcdgUOX7LfWadeP0cOtvhmi5KAvobOgfUqPSmMzKahlqx2C61jCDU5J82cq2bNuiuELKYc+ISQVNjyBApyCoC1ErlJOjLcMd60rDeUyj67Ifir4PjwuYvyQGcaWlO7QgXT0OlS3PBPHxOZ/4FiqcUbTl0g2LBzPFSNQ4hn0hfFBHlMzj1d2u8sRooWGqsyudLXVnl4lcvCtG2illasCHxpNY2th35L4zV00vecsoOAPyoNPpz3CgzKx9cOTQBzBQ/dQu6kTbnf7PKw3udxdYdH5R2SJlbmn7DNnIzurevUdJzHJcdpxnGac5LkKoscFZZ78xGHy5T9VUyy9mlWNX1tsJ0/FKjIERSf4IZSJM7lGhGj0LVPLThPKwUjK+p4SRetlZ0kUJnpSrp1ST0vKS9z8rmA7AJ+9MO50tJ1m4IOyRvgT8AkjyAS1Y2QKIoII1EAERBLFullgX5YsLf9dfM88TjuqMqWcpB9l2tAmmyLBYH+iQEFuoZEZfHfWuJR6JRHRHVkyG471u1EFEnEbmScDDklThPicUqSJoRJqMU1P5GUd9dy1RVcdG6svupK5l3FsSwiVw3npfhWD2Co6UjDliiqSaPWtVA43T29FnW0FMLIFfX7Vjjbjlkrih8jz+Mgh/sncPjCcO+FR/q0p8kC6iakHk1oRmPKIKHsQsrcU+sH/btlh2kagr4krEsiKkIBv3YNydsxk1+dkHxtirmX0K1b6o8yqo+WLJbPuHr4Gd3+Sse/OrRUqWWV9Cz9jKWt6Jhy37zN+5ff4OgPEv7ZHzznB9//jKvzZ1SrI+KgZ3KYMv3dkOrfbUg+SJmYEQfzXXbOZ0zOx6TnKdFZjL8MCKR4Qew39i3xXUt06JqM2ReftJz8ScP6Zat2FXd/M+Dwr4fM3h78nn/E59RdNU4e+NkAZDwXr2b3uSweWL7zpOGPpzkfPjcsP4yxz2Idl5rHGZMPap48GXPX7DDxfcaBZeRbBdcDVUYRpnRNK4VWfany5XmXs+4L1pLbnGWXaVs0a5U5/7J7x6jxeNPf45t3vsH94D7jbsaqMMyz3rV1R33VYV91+Kct8VlLeCk2B71K+0ahMAwbdqOa3aghFTWig0A9iwUc7R0C6cagvlFp51ZUYdRSp1EGvrBV5XleJyOkA0A9yaq57disCkS1Q74lZ673HL3fDGO5swXXccIJIkhxlCuwceYSWgojQIc2J+Ei1hqqfTxkQbs6VasIHifEf3OH6JtTBwZtPtuP58qSb/78VO/Nz7/h808+WPHfhy8oq5I3igm/cfIWDz7axftBTHUqoC6Es4bxex3duz3Zqie/NJTnHs1SlBaGazaSopYCb7cm3G+J92C0B5M9n/FIirgSUtE0UaD9Juq+Y9GJVH6tc5ukF9MPj1DGKxkz9Vh3wzF3RRNfxsgtM8P3/uuUp38WMz1s+Wv/QcHBW3KMPS2qkOwYv8MYeCvJe7jqllxWSxb5ku6yJzpKmJzINZcQXPn4omJFRxC3WPGwtx2eeMxbp2BQ6b1rsGXAY9GHPPdSXoUJp37MVSi2CUYB9IeTmjcOKp5Ma+4ktSN7S/GA3CvyzpnJr8U0XnJDn4vCjAB8lt7zqFvj5u4iYlJ2bsxfN+TrjlysbIQ9LJ9312ODjijqCOOeOPWIR1ZtPJIwIBZFqV4Y6FJ00uk9Rc6jTtROspZuXQ/XgFE1ja43VEFIEUYUfkRmQjIbUYXSQsrI9cVqqYsqarEgMivmF7UCfyJVruC3KB2N1lTpinK0IEuuWCWXmmWMuJmcumvhWoJJbYk8pq2w8i1jsVXpLbXae1gaGXcD+TxvgezDXON14N3NPdwc3J2/X24jInMgn8Noqu2ON2VnNWG6GJHMI/yrgPqyZ31ek1825OKHXjjbGykMkvvVSOwnxobRyCMdG5IE0kS+FxgisaTai/D2Y7yDBP8gxpsGX7inSsHOpsjRqRzxue1bj8s9sXB9GV/CxBCIZVFsCOR7odSayvkhSkS1WMN0FOuWYtWTLVuyRUu+7MgXrW7Ld5mbyryeuG9I+oapAOZy/ov1kLzXTrLYEElfCqNu9kuxoGzrMenle4zr63P0sUEBS4tfZQ7t5kgS+p3D61mbljzoqWJDk7iCEX/XI9w1RPuQHnRMZh2jSUU6yklGLf5QkC0s/9dY92oDICOqjCnDeN40as8mdmm6fZ1dXyalOv7IvG2Yw2lhi2zL7xkKNZ11xZAb+dJgMWLd1fo6Z6YdtpvNtq/bph8UIaSQUIuUQjzNMm44Swbjh5q9nRB7ELi276vdzk0Jt54x14plAs5vwPqzvB3A+5YzYd2X7bUtUlWWfPL//iP+8P/yH23B+W38ZOD83/t7f+/6RNmC89vYxi9e5HnOP/pH/0j7v//7v08iM5BtbGMbv5CxvV63sY1fnther9v4ssiL3kngD4D9YukWNJLY+dbv7gioLiA7QzaEYr/4OUC6aftr0P51EP91UF9k9m/HKLU8uh9zeCByjj8bpv266vjsslKg/lQWJrueh6s5b7465uDpEdHJhQMY3zzEfuMx3tcfYw53FHRQ/8C+GkB7AX9yZfZcVbLoXw7+t72yoaMyIBAPZZFnFZl3z0mJj/yQURAwjkLGcUia+MrS/Re5XmVV4u/83u8ThvE18ChAogMg+5u+eO8OfTnGRd2SyaKryP9XrR5/aSJ76taDnFa1Iz1JVhNkQSRd/3OrIdcukK+vSTuBWGXgyCK2MIAdi6uWxb9aFq8G8NDv8Ucd0ciQTmA09VS9YTbz2duxxMGXgz4qm973VNI6ATl7sq5lXjdcNjWXdcNVUzNvBAC5DdxbpsZn0lr1YB3VHnHuEeRQZ73KNKun/eZ9WEOYeISpSP0PBQfCBpU8gLvX2597TJZmC/GXtr0yPV1fstuv7M/hcfmLSeuxU1lmlc+stuxUPpGyl39MQQE9J8ElnyTHPItPOIkuFQifdgmPqj3u17sqCduLtLuArp4oGTiFBLEsyIxju88pmPcFF+Rc9DlXfa6Lmht9Y1lGF29vlSQ3HaF4hYt7gqjPt3LuC5hzAxTpOuJmTfGWQOmmrxYE18UeG7Dolvez/s1hl/hxi2Swcc3TEgDfyV/LQqP0TaiLjVpAoZKdAtxJ8YTryziykbRuPTPI/0IeLJibKxb9ks5rVOZzJ4h4EO7wdnCHrwUP+BX7mHvdPkasE0RZo70B/WUx+rQteNqteMaKZ2bFlRH2cIdZ1cSVZceMVMEgXQSkq4B47RMVPkHuYUXNQtiHQwFLK4oT8tmIl2htqMR9Vs7zuKbcz2nvFNS7OV2a0U2dfGs/MH3lDWm/ammqmq5saMuarqjphNVYd5haPiujUv2yeCtjlieSFyIOUXcqyS4/L+dwINLno5AgCfAlp4FaZfipj01DZX77Ix+T+HgjHy/x6UODlHGIQomWc8i1KtvDvnbIwmAeGykmCW6yFzIy0sQKw/VlvzCfb1/7snjdXWdZzHZs5Ou+Fik4oESUKOZtzYuq5mVV8apuOKpbLkR6ezgjJ8KC9htGYcM4aBkFlVph1F1L2XcU6s/qFvRr+WzELsHrtbjp0VHAo2cB95557D+H0YmAB4Y+sJR3xlR7M9rxDCMDXB3SXkH+siZ7XtGsGifXL+Cu7YmTluSOZfJBwux3p0w/iPD7luKjC16t/pJV/AyiUuQQaIKALLVcJR2LaEnh1QTs8Mi+xzf9bzD/7pQ/+ydr/vSPnvLis8/ILp7SFacEvgAYzl5ArrnO72jD1rVApPVbuqjHF+BbgPpVjL+I8HJRFbBEux6jOwHjXVHGkcV9KUTzBsWSAXyWwrxFRbtsaRYVnViwVA7I0uqc1HMt8RyzVojKwijXoi7HuF8WNa/OK5aXLXXuLBE68an2zXUTzd4NQ1D7yhg02MjDD536hbCnRRljo44hSG1rO2pfGNgNjW2oN4U+YtxgazxhJPY+XufzIN3n8WSfN2cHvDm5w0G0S9FassaybkRJwbA+NhRHhvZUbC16/KVTgBEbi2DWE486xkHNiJZx1zHuG0IBzIemNXACtNuOPm3o0oY+aehGLqstiwyLtYeXOasNLws0q8+3+kZ8dahVgbAofce0lEFOs7LwPWXfu2O5eez1fbIdfDAieHTz/UDsJZpvHVP9989ZP7/gdNrwR++v+c7jBftNwjvHD9g/2sc8S2lfhZiiJ7EN0/2a6TcD1r/X8J33XvADnqtwssSElD0zYaeaMjvfYXw6ITpLVSq5OfXITzuquTsWeveIOrr9lnKvZr1TcTnLOJ2seTFZcCE39Y069i0GuSRRaJn5ETMrLdT+jvjW24AdEzATtRYjdimihOOK5c4+rvnWf9Fw8bTnjd/s+dX/oNXPVQC16xe0uSNvwN/r5Pp5X3LVr5j3KxasdayOLiZMTnaITiZ4JwntXCYaPTbqiHdq/FR8oMXvvcXKvVeOVddT5YZ67VFkHsdVzEkfc25DzgJR9JCyjo7DPudBv+YRax7YjEAKHEMjyuS0oVz7IErwqgbfyK1d7gVG1ZX0Vt9KIYNTdxAQfZ0bFpnHYuUKVhZrWGSGZWFYlgLub96yK8wbBaLG05P6HaOgJwl6LRZKwo7Ub0n8lthrBsMLaRvmfovXOOsWN4+UOaRUlMqXg17Z9n3asVwt9bVHdkpTBjSlT1NaWrE5Ek8reR/XwK14aDd4xhlsyD6d00gRiozXbU/eNlxVJVdlQdm1TPyQaRgxDUIisUTZ2LTIXEILKyWrxrgWN2gFjCpJ6W/WooNN8YEUWui2FCWIbLzca0upvtAqhdcLQ+Q9DzYdUqjsGO3+AKb6anNTdx5VK5Yzlrr3KGW7Exsaj0bet9zH5e/Je3NHls73aaxPazxaY+llvJbxU8fFr5hryjAQSjP4kVFJe5nj1bmcgx1t9aPGHRx4L+Og1xGYVu9nQdfgNw1eWal1jS92Nn2jYLtPSzScG56r8tTXKcW8+nol6+v94rbTdB+2g5tttSYQy4fAUKwKstMl1UVOc5nDqsZby2toCepWi2Xkkt5g4jJHkELWde9URKRVPjQRNOJcMe4xkx47a0lmLeluw+SgZrLfMrvbEaWiGBeojZJmP8QXgFy/FAloPih56JcldXm/6Q+Puf7G7k0KW6Tos6ZrKm19K+pIsl3TdzL3lO+3tT7XNadosZmM958H+zcqIKKocgvy3twvPs/K/8pzZQj5VYsm4LwKOV4b/vn3nvF//g//ky04v42fDJz/+3//7/Pw4UPtb8H5bWzjFy/KsuSP/uiPtP+7v/u7Wvm/jW1s4xczttfrNrbxyxPb63UbP0lU1S0Z/MuO+UIW0L/4PPGjF8BeWPDhBrzXPsO2MOdv+gLoC2gm4LYC+AIWlx3HZyXnlzVBYHhwGGsTVv3PKsqm4+Wi4fmi5vm8pmp6JmXOO6en3H9xxPjpMaZpMbtjB9RLe/seRijAnwsBDZa9APYFl0XOoizVPzPvavKuoaBWCXIBHF5bf+s8lQmPxLOdgMRK8x2IHwaMw5CRAPmyMKjMB/MTX68KEg9A/TWYqEDiZvv1x6SwoJDF9l7k4t0CnB8KwGEIbmUr5L3OU/De+VIOhQHD77zZHooCxOv0VpFAlKCyz4EssMYtpdewbmqyRnLDum4o5Ymb80lkz305JgFpINm1NJBj9UXgXo5xnXdUWadZmDuXec1F2XBZ18y7hrXfsRYfZytgs1tAlPN26jnG/V4YsJ8EHIxCzVPfHftN1F3Hum21rYZ8ezuT3LTkwsq7pSYgvyExltR4pJotibLdRf4eLvuGs67mrK0ohxMlFbauDbljA+4EIXdE8l28UNUvVVd5lWF0Owv7+oftCX/VHfFXHPMJF4OCgVuIFr/2vTZm1kRM25BxG5L2ITEhkQnQwyKy/QK6Vw02r7GrmmBZE86ltdiloassrXWLvQ44dyB6L8UsamwpSgciOSyAnPgziwHzpi8gQUcftHRhRxu3Kl0soGAnTEmRKpZxQRal65541RGtOpJlS7hoCeYCgDXYTE4uR/2Xhejas1ztjLjcGXO5M2IxTlmMYlajkFKYq0Y80z0FpgNhxzVWmZ5V2lAkFVk4ZxXMWds5mbdg1S9UPcAzvS7U3w+nPAl2eMvf5y1zwD5j6q6h6iptAjxLZL0A9g2vskyVIUwSq/9vjgN6BXh3/sWu+CXMfSaLkOki0pwsBcQPiTKrlhQC3gugriGqBuIFKzYPAiju5zRPLmneuaSd1FRhrVLPMtwI89spL3u6/i+vQYB+BfslC3gtRVSDTbDCIwMQI5/j67US16USt9jyt3nztxj01wPRzdbthVRXdrEp0Xk9O/xjACNvNcVC5Lzc9AcfacmypK3P0V+g/g3OP3p4zbfdat1rMno8isYjbz3yxg5ZoVJ9buT1xL4DkWIrMuYC7qhyM15tGMk1Z1rKoCJLSxo5z0WhOY94+CzknrDrn/fsHDVEc3de1InH/F7E4l7C6t6IfDqFIsEeG+KnLeHLWuX2zZWAOFaLHqLDgOnXYyZvBYwfevSTI07Lb9O0JwqyC1xXW59F6HOW1CxHc62YSdjniQD10TdoFhO+962WP/vDBR9/dEYjx8d2hFHPzm7PdNqTTmqCaYGJMtZHJcvvd5TPDE3bUN5bs35ySfZgoexUlbGuOvzaDkUmljD38NcGf+WpZUnYWlXwiMZiw5AQ7sb4IusvNgWqGuIKZpzihlPK2ex3KuNSEOX2Fzk8/X7J048L1kVDcavgT6TyRTVCpKIVwO+kDMSxD3tR1bAuu+aKiwbDleE8cU0uyLqVooxGQTsBCI0CogLeiQqQjJ9OSUEkqVO5X3uSQy0C2pxfQlIW5ntTeTpG9oWnCiBGfLL9mDBICIMRcZCQRClJlJCORozHKZNZymgsKhOidmEQy2O55xp57eIkbqRUpwKRlza1gv9aABCFBCOfcGq1+bGvftk2EP9jH8/3FdQTmw5jX7+f/bTRnWSc/zc/JPvDZ1TrnBcPa06f+ITskR7v0r8a017FOsYmtmXm5cxmDdPfiDj9mzV/8tYRPzAOkD+sdjl8esj46YyH2Zi9NmAsdi9DTZhYhJx6JadezqktOPFLzihZFj35GsJFQLKQoqeI6VXMaB2q8o/4kYfWkMY9E5lnTjravZJiv2CVNsyjlmXUsAoa5mHNMmhY2JqVVQ35ayBfcuL5zLxQ29SLSL49of7HKbbzePI/s7z774WM5Ry3vj5XJNJFBefHHeO6b/isP+bD/jk/7F9wypWOS0/ye7z74g3uP79L+CxSpYZ23dPmX4SiBMD1Rx52ZOgjWNIyL1uOV3Cae1w0YtVhtQhNbugjWzCxS3aCBQf+nLF4xLsBVM9ZW/vY0serAmwV4IkdTuUPKjZOulxBXjm/sVS+RxEIq9xQhkbtEAqkoKmiErBQBkthSK/de2jWzjpDL0MV23GKDmnckSbSWsZJy0hy3DISuey+Ydy2JHJNyqCtVWs9RtRQVI5pUNm69ZnptTjMIYRfLWC0lACs6p7zouK8KLgqc+ZVzqLKWNVrluVa7+VSBKAFAXJcBpl0aYHnM44iUl8+a5HDj0m8iNDE2qI+pe9C2tanlXN4uIOpIsVQwCqYsYxvZRvRiYWKMw938xJPAHNPrnIHtrdGAXhRM1CFgeG+7LL6g92cB/KfWjswKN9ALUU2an3eKigem5bU1IxMTSKtqwn7xhVryb1N5l870Mw8yllPuQfZbs96CovUsAo9VXEQSXvxHjGjUn8mXhrSS0NyYYkvPMK5wZe28HSe6K09PR6NnDudFBJYKikukPOy81WhpmmsnlOqLCJ2UcPxku+HceyKwtOYmxb1JFFHIvZWMlFVURyVnHIqIEO+UQFxWZ8jgLOoCtyNsfdigjcS7P0EsyvFnZ4WHfWrSi066rOC1dGK9asFxVlGfZHTLyoF9G0urPieqmlZFAWLsuCqqrB9SCL2Cb7cFwI6K2pfTvGpU/Wnijao6cMaE3c6JnuDeoWoDum29MWiI5Dm+n4Y4EcByXREvDNmtDthtDslnY0xaaBzBSlG+KpxxxUtCkgvAH6tqi3XwP31tkyKOrp5Szdv6K42uaGdy5e44XwTm5VpqLYc3k6AtxtghXW/KzY/rqhgo6p0fHzC7/3e3+HDD8+24Pw2vjq2nvPb2MY2trGNbWxjG9vYxja28dOFyn+3DrQva5cr8SGse/Wv3/Q3+3WfVuV/8XcF/i3wXqXt4c6+ZXen5+ik5NVpqSzJu/sRj+7FTMb+z/y9nK5bBemfzWuu8hbbNrx1ecHjV8fsfvoSf5npYrf3tQfKqLfCqp+mP9XfEIBeQPtlUbGuXFNQuq0oBMTvxf9cvNBvmHIaClQIS9knFrBDvL9r8RoPCCtfvUylhYUsojoP85901UIWB2VBT5g5Gxn+pnY+3hsG9OdD/SnF+1DA+g2QH2wA/cG/UgD9Yd/mcWXvbZivso52LTe+YSK7vnhRZ1VDLhLT2hqnsKAMf0H+HaApgKWK/qq3uwMvu895bgrLw8ZgE6Ny+tL3EskGYmG0w3IA1SVv+isF1t3vEhb22AqnR9izDti8ASbd46m1CqRLHmnz9GdS9VH3VIpZigl8AaAUWO/hfAnHV3RHl/RnC6df27Z0dcvSM5yGHqexz0nic5oGrANZbYaoajiY59xZFNwd8mxdOSuCL4lMihHClrSxxH6EH0WYWFY9w1tZq2ggcZ7dVWypZTHWF8DbUHkC5jrG82ZRWBYBLQFCvxPWrHifW7GkCA1e6BaKHYvMeb0LeCZSry6LMH53DahJbrQJZNPSK4A2/FOG/TWZXhdwyy6g6KyCqUVhKEqn1CskNCMM/rYnqlpmWcXusmDnKmN2kbOTleyuKyIBF+V3+QHFZMzVaMZ5MOVluMfFLCFLWqqdnGyScZksuPSXLM2CFSvWAoEYAco6BWL2/ZRHwZT3wgN+I3iDD8LHpDbWhdkv87GV97oSZYIu41JktofCHlHkkP6qq1n1jSpBFHK6F5ZkKYB9RLoMr9t4GRJnwbVKbxV2rMeVtmxasZqVZNOSbFwjFRc6pnib7ABsh8s49u7wcb3W3wDeG+D9et81GC5Zfl7O6Q2AvmFfShGEVAl4WGXqu77XeHgivzooZwiogN9dF3N0ymgWdYdN4YAIlvdUplOlB7EQkKwMfNMNKhAbaH+A+fUcHYwahnPGEcUck1D2O9sDp4ri/smYJ1YShqoRUFrsW1yWc1R/nycSzY0WDSV+wtjGTDyPu7XH/bIjIqcJCuZxzSqUlWxD3EYcXo14eBRxcGSZPhMQvsATawAZU/Y8VvcDVvd9ru5FnO/GrC5S3vy24ckPG+y5Ia9jMj+llRtl7BOKnPFjMG8/pd3/IUF0ifU6ZUPKtXHWWI52cprZXC0lRvaAd4L3+UbwdWIzZj6H09Oek5Pe5eOOxQ8b4tOG5KLFipTwDthHPfHjimRUEticXM5bcq7ikqUUAsQN67gmiztyaSJJHDZM4pZp2jIaCUPfjRc+VguAUmISE6kUeTK01AxZtod+cgnRD3PMx0vaj67oj9ZO+UFVL8RrvqOW4gikWKpTDDBX9W6PWhikAvp0lqYNFASqWp+q8ymVXSp5wzYVHq2rPVEBCd/Dn/Sw27DazTnZzcknGe1sSbizII1zYrEYyXKKZUWfGcaEPAx2eODPuOdPuWsnChC3dUtTt9RVTT6vuTzNuDhbM79cs7xaky2yQQraFbXpKSaWAmFCHApwn5LGKWmQkEYpIz8hCcQrOyEwiY4xam0hhQOKInLNuvbTFj8R+4GhLzmRfoc/7gkmEEzkHu4peK8S7QLcWwcGSd8KoC9MWzqOvvUx7T85Iv240CKosztTVvEO7dWUfpEQSAHdrsds3DArlky9jOC+z6tf7/nWr57y3fQ5dd8yyvcJn+2z/DThufhVE9F7gdqTiJJB7dW0km1FYysY/K8D23FgAg5NzENinngpD+yIO17MXZMQWqtFgcWip5hDfiW5J7+A1auOrhZJfxjfNUzuoG28J4oVaKGJKI/IZ7VqK+a9a1dULEzNwqtY+A3LoHa5aQm+tcvk2zs005riXk69X1HdKakPatq9miQYwHoB7eX+H7gCwzgMSAVk84MBzLeaO6/izJ5xYk85MqdqGTMh4Q67WtiB2L4sQ/qVpV1aOpH+1wbd2mAzo4UyUW61hZVVQwTxua/6kIUJufJ8LoKAXOZ6xpCYXu+FYd0T1R1B12sLRUJcniKFIXGPSTq6UUc7aWkmDd2kok9rPL/G+hW+XxGIcod8TnT4cv9VRvowhoulixNgoqqhWHlU5yHtcUBzFtJc+DRXPs3co8684XuEAOw9rd+plVHny+tolaFsRy1B0hH4wkq2hNZX8FzuZW1WaKtWGdlqqS1fL8myJbXo9Q/WQTp7GbzEjTfG8yZgJxh/DP5E1Xjqck3XZrTdmlZys9a+7uszui530yG9GYoKhY8fjfHTMUEyxh+PCdIxUTAmrlKiLMVfRTqGSbGiKvmIQoUWM0oxgdzL5P1KQaCc9w3Wq4dW4Ymqh1fiif+7V9J5Ba3JKExB0WdUfUUpLOq+58COOQh2mJk9Jt4ugdmh7iJWJmRtAlY2pBCrh6YmqSviumZcF4zqklFdMylLksE6Z+PYUMi5I1/QpHC0qokbeR0iu+BskJoA1iPIUkMulgAyvzIBTRfRdDFtK0pfAbYVmx9XgqdaEFJMIMWEMmaKgkMNnsj4Vz19qbVIIP3KII4kt4v3rKhvCUgfdaoMIVYLUSy515xGaGGx2niJopLUoywbvLrFkz+m9caODd6NQvppSL8TYg4iuBPRzTwWVc78fMHibM78bM7y7Erz6vSS7HLpCkakcKSVooBB/UW2O7ldx8ReRGQiImJiubfZiMSPtBB7LOpEkRRZtVhR5PEbsDJnazD9Rv7eyfzL748aT+3HrksOtejD4ksBllR/xFbn8apwNIoIxjHhNCWejUhmI90WIF8AfSQPTfs/QslNC74va9rTivascnnTrm5sYqT4zt4RefxQ8wVz/tbf/dt8lr/YgvPb+OrYgvPb2MY2trGNbWxjG9vYxja28fMP+SotRJrPA/YK5A99WZAryp6reccoNbz7ls+DQ8PJRcWLVwVF0TGb+Cp5f7AX/kx86T8fq7K7ZtQfLWtdZLmbLXn7+IS7z46IX57p87xH+w6o/8ZjzKODn9lraZuOvGhYFRXLsh5A/EoZ5nlfUwWNtjKoqWQhZ0MW0jU+j6QPHBOfQP3HVRrahoxEMtoLGAujQ+TilXzzVSwLB6CLv6R4sDciUyyL18O27htA/Nv7ZZ8ABa34lYt8ugBGQxa2tP7uDWtKgL0B+FO2zAYEHB7TYywsZ/XRvcmOcCwy2SLLLjLTnS76C1gj7LFe/OlFb13WEB0G+FOHFIOU4me9acK8kUISWdwTv1CVjXVZ/sSP+uz9dUlytiQ+XWhOTpfE5ys8XfiENgmp9sYKjgt7xjFnfG3KnAkdWFJFPpdJwGUccBZaTn3DQtFSo6/rjme5a33u+j53g5D9KMRXw3fxixZWzb8cY1KPi1gI1DVlXWnetKZpaJS1PyhE3A5ZPJTCBFlAF2lpydbX17bZ7/q+bgtguWwbFnXFlcjM1rVaFFypVYEUs2yAe1lP7RlbGHkimdyTeO11E/na116J+JVmTgXArmvCVYO/bvCPl4RHK8KzXIGtrrWUkxl5esAiOGAV7LOazqh2oL1bUO/knI2ueB6ccix+wt2KVb9C9A5kwVQk2Hf9lLv+hENZlLdGAaDA9Fi/U4VVYS2LHm9v2kHe363wK3t4+KfMb8m9Yyr2ilwHCp0LA61VJNEQLn3C8wB7FBCehUTziHgtC+Dud8hHLn7lIl8uMtB92GLCnnZSqnx2k1Q0SU2reWhxpSwv2/j4la85kFxbvNrHk1zZ62x0/017jU+/8TUQiWTZJdfphlEv3qliFSAPey2VgnJObryISsq4pIgLsqigDkUVoFIJchn/BLBRQF/HFwHa3Rq5eE03nTqQKztVyj2kr8UfUvrxuaqj4ShdH/XN8d/05SSSdXZ1DRA56aFApx6wUK8XoDQlFO9rL2Xmj7nvRbxTWXarkpaMeZxxMRYwRV6y4aCKePN0xBuvEg5OAoIXNeZVoQvgYmlw8dBw8kbIDw4OKKoZv/1syVvP15gVFHZEebBLFoxYXRiV+e7CnPDNZyTvPCeeZnpc1J++C3jRGJ7vXxHtLYg8Q9zsUGVTssWI/OMZ3l9NiD5O8DKPLG05uV9xNuvIu5B+GdPngzqLnJvjmmCnItqrGe23jO+1TO/AKHYgY2Qsr+qMD8uF3qvkMz4MAw6jgDuRx46MzaYmoyQfWtaXKvftn9Xc/cjj4GOP+9+3TE88Aik2E/BY9J2TgC4VYWqxKrmR41X2vYyR2gKCQDyvI6IgcszxjeSxSPGqDLLcFwYJark22p4y77jKGl68yjh6XjA/7VnmPus6ImtiSk884w2lL0IHNflOxfJOQXWvIDxcMz4oCWdLMq4oRM2jN+ol/d74UNvXRnd5a3RHX3euxXg1WVuR1SVX8yWXlyvml0suznKuznKWlyXZZUlxVVEuKpplSbMq6SoB3uTDkOPo6OXCVPTEdmIvJn5rh/GjXeI+JcwCkjwiySLiLCTKQ4JclFGMgjtSDyNFNCKZbgNh0DYEtiH0GmXbRqbGpyHsa8KqpV4lXAYTFtFMxPlJwpjx/YDdd31mccn46hL/5UJBx7Ovw7d//ZJv3X/OpYBrqz3aVzssXo5p1zFBkxD2sX4WRZzRJbl6KAdthN858E7GPTeAbyTCBzsWUUKQYiPb4vu91pTFdUlUFoRZTlgU+FmOXRc0lxnlRUYkQLif4rcJtkwwi1j7cZSy92DM4dcn3Hk/YeedgOTuF9mn15LPIhWuuVebhuefFXz3D3KujlqWxx1l5vzY5XV6k5Z+WtNPK5rdinq3pBT2fthSeC2l31EErrUi2S7grlZFyURO0M+cPhV5AAfUYQUEbbFWPLk918TcxRhVvBkTMzEJO96IPW/EbjdiVKSkq5hYz4GIYB3ir3zOjw2fnfScrAyV2JBEHk1gaLQYT8ZikVL/wm2cRGzfY+OyNsdovr0/vdWPwh4rqjqDL3tznaUgT4r9nHVIXYkaRk1V1RTLmvKkpnxVsXxRs35ek53UFOdSsNlQljVF27pi1mpNWS5dq9Y0TXFTOCnHRe6/4ZgomhBEM/xoio2nmGRKF41pbknRyzTJ4ZWGSKZMTlBcrxW1gZG5XyDHxdNCzz4WmfSOol2R1yvyckGWL8mzJfliodLp+fmKfCFgvisg68Jefc3bvcRZc6gv+SAr1TaO5a1qHsP8WE++gUk+XAtunnwzf3ZzZItnRJFEChREpQO6rHC/dzggokQSx2MmScIsjtmJYmZRxCgSBY8RQTSijlIyG7KyPkuxTfEsQdOQtiVpUzKuK3batd4LlsSsbMLSxqy8iNyG1CK9f0v9xjWnkBD0ImvfEUrzej03wkhso6RZosRq9mOP2hhVGZI5eLFpXUcp9jKimrLqqRc9zQL6JfQr8S0Dk4HJwXM1GNdFynKsu8jQRh6dNnRb1Zy8mr5Z0ZcLuvWSLpvTrBfU2YI6X9JUmfsdehANfjohmEwJZ1PCvR2SvRnJ7ozRzg6j6YyuLCmWK4rFknKxoFguqVYryuWSer2gWi7VakhtsRTQF6WDBM+keF2M542wNsX6KUE6IdqZEu3NCHdibGpVFcbQ4rc1tqvxu4agrfDbZujXQ2sI24aoa7VQJm5djlpXfKlzzUF1YpOLSUz2YELzxh72rTv4d2WMFAs7reEdsrnuy7xWbd/ke+D55wD7AcDPLzP+6R/+U/4X3/qPt+D8Nr46tuD8NraxjW1sYxvb2MY2trGNbfxihcjm/+DjhpdHLVHkQPonjzyulg0vjnKuFg1R5PHwXsz9u5EyaH4e0bQ9R8sb+fus6pRl8s75KQ9fvGLy2RFeWWMmycCof4T3+A4kIgXwLw+G/rjQxf6+JusrsutcsR6286G/kdveRGwccJ9+LgfqzHnjD+2ygFo3XtE3jw37X9vntp138C1Z0I2noRK2Nsxrt4p3nTdVBq/t+9ExLFvq82SxOiEk0feyeV+b9+a25X3LQtS/TDimrcsb0ECVJKqG/tUl/dEF/dEVvLqE40tYO9C2t5bu7oz2cEZ1OKW4OyY7HJOPLJUsuKlOuVLNnaenWD10LZWC0V8MWZSXxUIRC8jEF1N8mkVyXwoJhkKN/cDnMIzYD6Qow7H6hc2fWI/E84hUQvpnd47qMRG23C2wvmk22e0rmoZCAP6moW4FLHWL9u3QhIMji7Ot56l3LlYYbs7iYRJF7MYxu0HIrrAQf8Trd5/PDSvfsfabz223+MYn9AJlJAUna7wXV/Dyku7FmVM1UParoUwnrJM9ruweq3SPcrpPcjcmPehoD3JOp2d81z7n4/qMV82Ci2bFus/1tdz255S+j8hAh4RGLCtClcdVNrEXMfIEZImY2ISpSZlZAVxSRjbQIozQEy9wxwQT+WT5DAV0dfsNdQanP2g5+YuOq09k0b8jmnRE4o0q52HlACQpkkGKWAQwFeBeiO12APDFi9g4IEX/6XUsP6Mu5a7YZtjvJMTdde7O4RtVjL428mHq75HnXYNsA0ijfPXrFfTNB7cBJdzR0v83FqnC0DNDG9j/WscjfQG4BkniXkCTvTX54Zzs/gIzEgaiOrvq9e8UGQZVh6FJX4Bxvbr10lL31wH8ks9LmN8i1S4HyjAvG16WFUdlyUlVcNnmlJ2Mg/L6A/x+RGgcYL9rx7zLLm81lp0qZ+ktOZ6sKIVdbzt2moA7ecjjo5BHRxHT5z79p5mCVfnY8uz+jE/29zkYh3zj+Yq9l5mCq/YwhV+5Q7G7w+rSY/G05vLiGG/8ksn9M/xIrruAsk4pqhHPJgsWsznjT6cE3z3AXKTKRuXrC/z3G+LDESP/gFGakoxDRnGI31ryC8vizOPqzHB6CsfHPcvlwF40sL9vuHPHcPeu4cEDw4NHcOZl/LBY8MNyyQ/LBfPBnPhBkPJuOOHrVyFvvmhJv7ek/d4F/WVBV7W64t8llm7kU90Lyd+wLO/3XN3vWB107NYpe+WYnSJhWkQEhaEXyrwoEUgWWeJcKNS3slRtfFmInHBiMbGvjEMzCTD7MeyFXHoVP1id8/TsnKunK4KXPvFZRLRIyOqYZS0KBQFzPAoLpS/Am4wFBf39kuBuiTddsQzOqcdroZr+yBuaFtapXLYwqgMtqNtsp/iMGh+7DOnOobrsKS5binnNel6SLSquXp6wenmkINzhw3u8+8ZDfvX+AQ/blum6wIgMRyk2AJa69akbkZr2qVVW2kegeOE91/2wT9QtVHLbSWb4k5idt1J23/PZec9nutPgf3RB+xfndFnN1YOO7/y1Bf/4rWOOKo9mNaM+3iO6nBCtU8ZVqooTXVKz2rmiGM+5s9fzt/bv8tvjQ+4FI6KNPYAUx9U9l1cFZycrjo/mnLxccvRiwdnxQlmsq4sV+XxFtVrTicT5RjxArj8b4/kjjD/CC1OVJeibnL6WlmlffcjlGhqGjgApHksJggQvHmHSlH40wkxS/DQlTEaEieSUII6xUuwhoG5o2D302L1n2N2xKuFenrba8pOO7KSlElsLUdzpYTQzTHYN0x3DbALTca8y7qLGIkWZWVWpWlDuNWSmIeg8dpqQWRswsxFe6lFOW/KJjA0V+ahRW41cbFmimiwsycKKtV+QeQWVcezg2xHK+URMauJhjB3GYyksaMQSqKVeelRLqFeGegWNZidN32S4vOjp59Ate7r1cA2Wcp419KIEJOBz0GFUNr3XYgpf7i3uJqGPC7teMfINTn6r//noalE56FUFQX7FZDJhd2/Gzv6M2f4MT4roxiNW6ZiFn3BZGRa5KGSIGYQorrT0aUmfFirLLnYeBzPDvR3L/VHM3SDlTpBontmb4l8pSmyznvqyo7roqC5b6ouW6rKjvuho5h1F0/HJquLFVc3iSi61nnzaMH8nZ/1gAbMlB0XFdFWSXuZqvyCm8r1ntbW9SLvL/Fsk+MVexs1/tIl6kfVorUctBRS+FFN4VAHKVv/C/FCKjkQBYdUwPq8YnVfEFyXBosBblfSrnGadU4gywC0GdmAt0yhlGiXMwlib2GqF0QgvHtOnU8pIDAaMA9v7jlCUEsRL3uuU/Y1aiUjBidhWSU2LYS32CrVl1YQKuMv8S2TWA1sQBWsimxGK0oYtVIFB1U6a0LU2cONU46v8/WZsqlsp+pA3Kndsl3UuoYpAjm2uxQlN5+y76k7tt+q8JF+vKYoVZbOkaQc1BZVr9wjiMWEyIYwnjKMRs3DEnTjhXhDxMPTYNx2JyJMNIZ/P2gtYBT5XoXw+MpiIioJTEFPWfhQQhQFJHBBH8r5q5qs1i6W0JcvliuVK2pLFfMl8uSLPc1ezocoqMnbI+RhryYgnXvWeluZg1LdepOTlu43kzT73HPeY2y9FbkYKLmTOaD1iKdbzILK9FmTdCSru2ZKZEcWSniwMeDUZczwdc7I7YTlN8SOfQIrgfJ8o8K8B+w2Afxu8l7w6P+M/+Y//N/zx9/7zLTi/jZ8MnP8H/+AfcP/+fe1vwfltbOMXL+q65vvf/77233//fa2K3sY2tvGLGdvrdRvb+OWJ7fW6jV/kWK07Pvy44dkLYUkZ3n7T8vYTn6pqef6qUG96WUC7d8dJ3qfJvyBV+icIWQq4zEX+vlH5+7OsUd/Lx4sr3jx+xf7TI4Lz+Y3nsrARBKRPQpfjz2XZL6sXSaTbr+9zMuOfBx7/Ra5XVSwQ/uYA3jvg/jaY77IwkW5C4CVPAQO3BGRv+tf7Nn33mD7/9uObx3BgomR9PQPr+Tbw50SjN/9c/+bx29tf7G/AcnmPrlDBvZ9N0cLG0XrzvhLjk3wJcO9Afbcv0kWvrwB9BSw/X9AfXdIdXdAeXdAcndNdLN17ETb/Xkpxb0J2mLK6l7I8TFnuBZRGGF/OE/nHhSygSzFBbHwtmghUvt9ie+tkw3tPpcPFf1xA01ZZvS1503I5SPSv+17BelkQdSLbtxgzSgQyCu4KUC+AfeoJeG8Z+b6C+RPrM/JFdtf+RIC+gOvLpnEWAU3DopHXMWTdL/7sN5+HLMzPrMfUE2loj5F4/ApmjDCtBDwRedBW2fmbpTj50yKhHIUhYeByJAvIYaDbt6Xkm67XgppMrBLqz/XrjrwWJrthHHqMI4+R5PAmi0QvJwu652f0Ly80dy/OafOGRhQ/whHLZI95sku+u0OzPyW+55PMOoK04io7pbEN0/sHlEHP3FQs+oK5SNh3OYs2ZyVS9m3Bqi/IOsck1oKPgXC+uT4E0BeIOHCwvv6TPSJebI3+r9sitS/ncuwFxHIlLgL6C5/uVKwvQmZ+wOE0Yi/1iGVxW9hnArAsBj92Adl91AJC7ScEEBGgXSSDN3LyWuDgCnSEyV6EFXlQKiC0DHKKsKQSZY+wVk/2NmrxI0MQG/xEssi9Bky6lHGbMO5jxn3KuIuJupCw8xUU9sWnW8577VsF/2WhXVU6CsnQCOAo3uPVjZKH+Bo3c/e69ZxJINyH+NCQPjSMHhrimVULjg3D3/3vgPsSYXcXrLXl2nfbue6Tx+VTketyTMKod685b0uel0s+zK94Wq04qTMWba2AvQAJtk8J+hGJl7Dnpzz2Uh71PqmMV3bNKhIAt2e/8Xl/OeL9o128o4b++0u8s4ai83mxP2P9aMq91PLgNCc6KZWdat+aEP31u/i/skddG46fznnx6gd0+SsmXqHqBtnxlOxon75NGL3lMfpmTfDBnCIQy4Zz1RiQGLHLxNxlau4yMXdImH3hmi+KQRL/ZNPQLPvlqffuGZ488XjyxPDwfk9+csHpXxzR/sUZ8SdrglVDIOdVJLr7IeZOSvT+HpMnO9iHI7z7Aoz+bOajCs7fBusFqM4bzZt+u664+OwEf9EyFhBkU0SW+PS7IafTjo/SnO9EC1UHsE3P+3nC21cJ4+OI5cuek3nHaelxUQVc9CHLPqAOoA1E7rdjcqfk7p2aB/stB2lL1DhidChYSN3hVyLl7Jq91UxzY9lw/Z4+9x7LJOBF6PPd83M+fnGkXr/iYz19+Ih777/LB7/yFm/cHXE4MRzueownPl46SBpHImn/eoGjgHv1uqdauJzeE5Cpp/3LS9o/O6N9seIqKfnvfi3jv35yyXPj0V7uM17uMl1Oma5HxLXcL3rMbsbR/hmL6RV7I4+/NXvAvzF5wH7u863/7gUffvsVV2dLFhdLllcr1lcrstVKGdVa6DPcLq0fE8QjgnCkIFo8GjPenTDZGTMVD+a9MaOdFC+2ykxfeQ0rI/ccdKxfVQ3rqiWrWvqscOzirMDPS1W4CS9L7FUOYjewzqjrjLLJVdVDJMg758yhhXZ+lGLDFONF1IWA2jIXESC6xwpjPOzxIrEBEmCtoys7Ojnfyu6mqW+6K24yUiEw2HwYX4BOAfgcOzUSAE0UaHQydKNGoixqzc7qZ8OA3Zy7WogkDG1RTglEYUNk4je5oxGFIwEvddxsaaWwZSiw0kKsRvqSh23RpR/6ciAE9LNi32KHHAjz2ceTFvlOsrzw6HKh42/AROssopIALwnxkgg7ClWC25PimEhUgwL1345jS5IExIlllPqk2qzmIOj56JMTFpkcpD1W+c34JGz+/Zlhb2rYnzFkQzRquGgLHZdP69zlZsh1zrq9PQe+dZ2pb7nL8hEIWFo2hvbcJ/nBmMkPR0yeJnitR7ZfkT8s8A5qdq3h4XnM3UXEqHQaLXXQshpVagkzKnzSSqyq5N4tFk2bebMUhXmEoUcUe1hpYseUbpqHHXv4Yw9vbDATj3YC7VjY4VKo2XK6Ljle5pxkBSd5yUlZcFaL7L2A1u69xIVh56JmfF6SXJaE8xJvXtCvCpo8Z13krAqhow/Fsn1PHAT4gRQUyJxyKHJsZZ42WEENzQl8DFV117NwKcB01jKaRcZelIHkvj7kTWWeK9aVwg1nsSBZrIRU9EQKATaPaZNt95jWrGplh1wHbq7qPNBdjqKQ6SRlPBHFgITYHxP7E6J2F7+dUVcRZR1S1r4quVW1A9pdHYBBnER8Ff0QlnpL2Dh5/1FTM+pqElurcpO+Z7nvbxj8w+m5qTmU4sdeip/U0sBThRcvtPihTxD7tLZjVecsKvGzz1gUOeuqpGobtfeS4tZKm5sfS65lu66pa3mOaIu5P7YpJpaODqVD8bR+d5IxRJUXfJ3TlnmvCg4RHanXkpqe2DjlMON51NZSWkseeGSBqA842QlR/DKq+BVg/MBZpBgpqoAXL57zj//5/24Lzm/jJwPn/97f+3vXJ8oWnN/GNn7xQqrH/tE/+kfa//3f/32SRJZutrGNbfwixvZ63cY2fnlie71u45chsrznh580fPasVbbSW29Y3nnT14WZl8cFL18VKou/txOo5P3u7IvA9s86irrjxUJ86hteLmplOu/kGfeKNUnTqJdjVEtrCKqKoKrxqxpbVhiRNcwryCv6Qd78CyELOANQb1Q3NFTZ0Q+ffUYTWr7xW79OuDvBpBFmFKueqPQZReob+9PGhgEvS6i6jPhzPn4/i9DlmVoYWxV9UQvFaVhIdf6MAjBUnciglhStZOfJ6Vqlj0lfpFWNMM6FoSJ+q+LF2XtEnQCYlrD18C9z7Ksr/BOhkQlE2VOmVsH39WHKepPvphA6UF0YtwL0S3bbDjC92XaPB+IV3TcK3Avwl2u/vt6nEq4M+SvAfQfm3/yNUADb3sf2HkFn1Xu26zyKpidrxKe5JZOm3uadyoZWg0dsvWGzfwWgL4x1aQLYi5x12Xdkw++Q0AVRkcG1ngL8U1+aHbKv+yYDk/8nUTJwlhiy8FhRVjVlVbIuK/JSWIaVFibIxy65VQaoVU968ZZuVQ1CllJFTt8jDTyS0Ljse1Rtz6rqFLRZC8B7XTzQI+uO46Bn5HfEfk/sCSDb4hcZJsvp8kILZoQlqOxNXf/0nOx8HVAKOy6BYBxgAw8v8PBDS5yGpGnoCgs2RQaB2E3Isrxh3ZcsBbDvCpbd7Vwyb3Nti07A/Ipczu9uc77UKuvuGOmvg/sC+DsFXXmPzhteSmfEYkAYc4HxmWVjdpYj9lYiiRxR2op1mLMOcrIgd5YaAriHDXVQ60Jy6iWMTEzqxYxMct3GXszYS5h4omcRKHNdPekHRvrmGEtszuYbEv1NSc2wtn/bUf7msc3a/+d+RiIQjtmFwTsCjsGIG4nUTonSr6zVJxDvGEZ3LZMHPqO7PsnUEo1/vJpETsEZc8644pw55yJnjmOGi6f6PjP2+xk7TLSo4EV1zp8UL/h2fszH1RXnzVoLaQSQ8HopQBgRqUpCzL4UT4SGMMwZ14Z31invlTvCc6V9uiL8foX/UUuZeRQy1r8xZj/wiAXsvqoVGPM/2CX6nbvYd2eqCvC0+YgXp39JeLIkbTpsIl7weqWqMoVrYqsR0gkzU5QH/II8XKmigq9qDne0TbnL2NwhMNGXXqcXF/DZxw1n37qi+M4l49MF+9mCpBPJ9A5vFDA+CAneGXP2XsInhz3f2Sn5XrjW8SY2lnfiKe9GE96NprwZjvELqJ+XKpPrBhhhOTrlEDmpxMN5OLmc6oo+Nqi0DPu/8LzP7S+qgv/qn/zXdLbn7/y7/x5x7tFflPTnBd15SX9R0EsuGr3GVm3NWVzz6ajkdNKR71nuzaa8E015hzH2vOL50zNePM1YvGq5zEJOihHnxViZsYHfsj/J2J/l7O2WRJNepcXr0KMRBqbIjQeD3LhsD/mmyefkHpfPTAqwpPhp3Qw+yquS5s+PqP/0iO7DU7zOI3nwgPF7X2P2/ruMDybsTuDOFB7sWN7Y9bmbisKKk6ZW3wYFk1v6Ra2g/Pq7Z3wnWPPP3iz4Z/dyXnkRk2yP3WKH/fWMNPcZl7BvKlb3lnx8eMLpZM5OEPI3xvf5xjLh6p8v+It/+pSP//IFZy9PVcXDiuz8eEw6mTCajpnsjpnuTZgdjNm9M2HvcMLBvQlWQMik0VaGNWvT6Oew7KTwS3KtWfathLV9a0TYsxGPwxFvhCPu+3KVBuRNx3FV8qooOCoLXpUlF9VQ0NfB3mXEw+OE3WcewWc1/WVJWxd4SYGdlvRJQR9XhGNDWRrWS8Nq0bNcwHIuCjJ6cinAOtm1THYsY8m7ljAVMNKjWPQUcymCgHLRU10JW30Az0TSvzPUMmDrOS9y4Dq9UDl/YaHrflEO2YyQcg/eSBfpTWDTbuZGyipWJRS5Z/n04gHe+XStr9tWWLaeY9uqco3IjadSzGEwI49+ZOgmUKUt5aglTxuycUMW9mS2JVeFkxtAMpG5VGkI1gZPG5il0RZcBth1oHMuLcYKPB2D05HPZBQTjwKYWFqxtIgMlRwzmfLVPcXyjJEt+cabhxyMPHbDnr2wI5KqhY06jMiH6+Rg6Le3HtM83ChbKWSsOfdKTmzB0tRqY7DsO878lrOg5cx2LK88vKcx008TkvNA5wj2QcPozYY7b3fc3/WJFaQ0mMABr2qRklu1DvHWHoidgO1YxzXLsGYellwG0grOg5wyaqnC7noMExb/rh+z50fs+BG7NtZt6e/50o+Y2lCLZH/cPGrRNJxUAtaXnA5ZAPzjrOBc5lKD1Locl53Wslt4TE5L0tOC8KzAzgu8unPFPNJCDxNKlioS8QNQKjYm8ujFKyCW7Lnt0NJrHvqhoQs8LSCReg8ZcmQ6Pwl99pOAnShkFgTMAsmuP7IeXiuy8AV9U7rWusyQ3T55vNLHuH5OcTPJ0HmHpTNjuialaWPaRq4DZ7UjljsmC+hXCdVVQrmOaYgojZvXFY3cMwx53pMvnFLQdRgY7RpGOx7pDIKkp7Illakoe5nh11RFQ7Pu6QUML8Cv5HuGFGi4wtRQmumIPDmfXQul+Od6YsfNnGmoibje1uIqOZ6ilOLA/KrvtDCjlGLXvnOqXJ9rhTFkUjxCQ9411FL4mBnaFYy6jmnfMrE1417uYE6loPINhbGqvJKL4sNQbCTfkCpP3nPJ2fKC/+d3/7MtOL+Nnwyc/4f/8B9enyhpmvLWW2/9a35129jGNm5HVVX8+Z//ufa/+c1vEoZiJLmNbWzjFzG21+s2tvHLE9vrdRu/TCF+9B992vDJU2H4wJPHViXv4whOZDH8KGe1bpVdI0z6w4MI61CIn2vIAvPxulHp+6uiU+C+bHoFQm/AvpsIfUMs3pa+R0pH0jauKaDfENUVUSOgfq3NlJWC+e0y4+zZS2zZsBOlmPKLkqUSwkxSkD6NMSNnBCp9zbp/2LcB9eU5wuj/1wDI97JoXNT0WelAdslStKDFC6XLX7Ff+7LQ/C//Khx4Ketyqi7v+uJp79bpeupZRH04ob03o7+/g7m/RzgWUO0W2D4A5Or7+XM6lrIkJfD8DWjvAPvrbcnDPgfui6bAzTGS1zY2ESMTakuIiPuAqAvw2oCu9SiFVd4Iw7xlJQx8AfEb8aEegHxd3BNFBinocD7a2lTu1DG/AmEZbZwKhixyteLd6vAzowwntdg1ztPVWUFLX9Z93T5ZgZPTXBSv5ZrSvijmblYnPZGmb4n9hsS2hMZ5JtveNW+QKdfXIN6j2jw6XxithqQLGDWBFmCI7L6wjoSF1EobQH8nxS5MfE9lWhssTe8pI1rYqfLLw7JmcrFgej5nejpnfDzHFxamsMGspYlDmjSkTQPacUgzCWm1Bbo47QDFAcDWlyzHxyor0QsDvCjCi0KsKmxIPyAIfZWCFonSUJiG1iqjWz4XAerl86/kPOhqlzfnSFNzdlpxfFRxdl6RdTVNXOPtN7DTqBe9nDUie+xaojkZsvwTSX7nB+3YV93mGhIpVjleqqgvTDk3Pupjigm5fRKDM4OCo47xtmG+DQC6st1u1MBv89w3l9fAkbs+vx2w2FBZQyXnjnrVurPFqyG+9IjPPOJzj+TC4pdCiYM67igmHfWko93t8XYhSoRpZwhjj8CXz0ZKLwxja3mYxOxFkR5z+aPCrBew/mwA6wW0rwYm+phUAfsDdrTt9VNOmzX/PP+Uf5I/5bvFGafNgqIrHJNNzkl2uStAYmrZ9yreXEa8sxwxDacUE0MoajJ/5dH9Va2SxXIvCQ8TEmsweYdtDN40JPi1faLfvYv3YMSSJc/aT5k3J6zrK+p6gZD14xrSxhKLtUMjTF9p7pgKQ7KzRoivVLZRxq30/SZhtNhldDFldDYmOvPp5xXd0yXd0Url5eWCrsYJZ3u7PJ3t831vj4smVNBKpPDfeMPw5pue5njc8Vm1Uhn8D1dzPlxckZcNXt7xUCTwlzFP2lQLpvzO4DfyGqQvdtyGoMbt7w2BKIv8WFOU10Okq1erlfp9Tx/sEMxCvInFm/p44yHLtgCiq4pOgfuS9jzn6kQ8ptdOklxQGiEYzwKSgxH7hzvcvTvTookm6jnyl/zl0YoffNLw/GPD8qXohBiS/Yb777W8937Ir31txtvTA1UIuW0F85NE03UsSlHtKFlkJfO84uRiwUd/8jFP/+xTTr//krrusffuEL77DtFbXyOY7LjP2tS0XkHQF6R9waSV1hG2PR/Nan6wI9dlyrTZ4bDaYVKkjAuPB6uGqSk4fzTnLx8d8zLOSDuPD05CZt9tOP+TCz79q+fMLzLFiNPpPo/efcT7v/GIv/a3HzH+tQQpzfg8wL7Y9DvZlrve63MpsakY24CxFzCVbAMmXuCKvzQHjDyfy7biWbXW9rRaKwgrMfICHocpj8OxgvYC3u96EWdVxSsF6wW0LznWXLA6b5i+DJkehey+itg5F2sSYadDfdBR32mp77YUd1pKaTKleWUpjy3VK4/qlXUscnkfSY9/2GDuNnh3a839pHVWG3IKXRq8Uw8vN9jWwxYhXh7glSHioyCMeWUNB7XKifv+wCZuzaCsA0b7zm5EGfbtkAd2vJxVbdzTjFqqUUuZtCqTv44bBdy7tKOLbx1zGRcwjIzVlhqZv1pG2sRWyPXT3tNt+VubAkCdQ/Qt685l7fctc69i0dTqH26WHv7cI1hYosuQ6CogWgZqPyDXtcwX7KgjSoQFL8z/GhN0rnBApAVCZ9OCqBWIYn/Y08ttalOYI0O9KB9cG6O74pzNPr3OhuesTcszU5K3HcnziN2PY3Y+SYgzy2js8+ZvRHz9d0Y8/rVQCy1+ViHg5qKtuGgKLpuSy6bgqinddu2KR+Z1zbJuVOXACJjcSZGXxxiZ14k1TkAyahmNOi1AjIwllHnCa1n2i6XPzeNSmCtFlvK7r7TVnFf1NZh/VVeqZCFxXfj0I2IzrxMVgJv+j8oyb4aVqi65vy/H43bI+TfxfQXqXbGny5ttUQaSfbPAPXbb+kjh3Lakq1b01Zq+WtFdZ9m3oiszGlGR6EK6TiT1Azo5idT3x8NrDKbwMGsfr0jw8hHGG9PGKaUfqKLCOuvJs55s3bJetmTznnzllDWc7EVPELekOzWjWUkyKWC8powyFkHJwlbMPcOijliVEXkZ09Spzs9dqWWjSgFeL0V2ok/RuyxzXv1YOqwoT2n5gYyT0u8V+FeBDtnnLhN9XJX4O8PuMmR/EWAbH9P6LG3ARRBw6ns860teNQUr+d512XFnYXhIzQMaHoQlsd/KL+F81nCyW3MRiVKUxRQR/qXhf/9/+w+34Pw2fjJw/md5omxjG9vYxja2sY1tbGMb29jGNn4+ISz5jz9r+PjTlqbpefzQ8t7bPqPUMBeP+KOCs8sK3xoeHMY8OIyIhdXxrzgUSBXsuRFPSgfWC3Dv+q/vE+BRANGNhOtXgfmRb1SKW5tIDlYC6FdEZUWwaUWFX1R4uci2lg7Ylrwe8pex9QUIE4nha/PP22iZMA0VRRtAxJv9Dl1TNHV4zsY4dLP/1vMrAeEHxYB8ANvLL0qJvqYcIEUDUkxwS/Jft3X/jaqAESqZQ3dff53D+9DXtnl883puP+eWHOzP+5zIxU83b10rWpYicdu/Djje+lhe33cNVg7w0y3w8vp5r/2M81vNxbpAmDtGck3l1dReRevX9CrDuXmBAgYE2NbHtiFhGxD2oQL4cS/y/6Eu6Mq1JawxeX0bwNUBsHLOD97zA6jtQFong94M0uiuOR9YkUvXf54DJzrT0RvpK8Ub4wlTq1MpUEUbBL2WfZvj81Ufmyw+dhA1hrDxNAet9I2ylNTLfPAadyRH6zzoTaTgs0jrWuvjS/Z9fM/5nDatUbnOqjGKQVa12u0qm0+uY7fGb/DqRtUyRPo0rGv8uibIaoJlg5812JWAjw22bdSX10QCKvRCv0Y0/rtU2GXywtzb8doWm9f4WY3NKuy6IljKdV47f+jhHBdAX5htnjRf3oOAih526Gv27fXzipVhfWFYnxqqQhh/lviOTzcaU8VTmmRKbVNnE+ysgm+yyhw7MP5z6+g/3XVx/d9tye5epZ0FEDWCgUt/yMIW9duMqLgizOZE2RXh6opgPVdmnTynn0Z0+wnNTkwxicmmCetpQjYKydKIdeTTlBZzbrBnlujcEs1dhY6ch9m4YzVpWM4aFrsN5UhQIgf29H5P6hmm1nIYhjyIIx4lCbtRxESkXQ0sya7Z9ZIvmOs1IDFjfA3YS97tp5y3Gf9l9iH/cPl9PsxPFKwXUEBk5fejlEdxyHsip36VcqceU89EHjrEm0+Z/wn4P1jy4GjJjF7VIaQoxNQ9Roo77qUEv3FA9Ct7GPmsypa2qFiVC9blUltRrKlXa4K1A2QF1/JthyfXnqDg4ikcKFLmrp3NxyRDeCHURwGLQmw0I33wmPT9t/EPBby4uUAXi56nT6V1fPZZz9mZY7HOgpYHcc39tuRBWzAWtur9jqdvNHx2UPFxmnFl6p/wRHLAragnCOAklitaMKR9Jx99/dhQWCSP7dYBb60THi1CfPHRXjZ0i9b5ad8KExq8yQDWD9mM5ZrqWRYZT5cXnJxcsT5bM7nq2V9JQVRAKJLV182BVsIC/mxp+XgR8HQRcpk7QH4vLXg8LXhzWvFk1jMOhKUrcsHDfev6/jXcm0WiWH3lxV/9qy/EkpbvnRzzF8+f8b2XLyi6ltH9HdIPHmM/eItsdkDWRNSiACIfaVBQRDnjfsS0mbDbhjwoDfcuC8Ztzss3rviTRxd8VFzgfbbk8KMe852MxSeX5OuOrvcZ7dzn4TsP+cZff8xv/duPufv1kL+qrviz/JzvFnO1yLgG3qyvYLsA6xuAfQO+b/ZtQHixYflp79lqT3QLrFfAvl5xIcxbmWsZj4eBA+o3gP1DkdE34l3eKVAvDHtl2y8LVk9bwlNLcOIRnFj8U7GbcffmftrTHXb0h702DntqH/ITS35kyF55rI/Ey929hyCByf2e2QOYPYTZfYhnQ4GM3KeU1OzuMcuFZTW0QlQe5OfjlmhcE0gbVfR2KIpSOfEvNvmZRGxstPnXOfWtFiBp31pVU9BspRjsxxceisR/cSFy+RDODIFIr/+Yn5GiEgHxBcxf1BUv2zkvmzkviwVnJyXzk5rqxMM7C7FnMeF5jJ9bbGWxwnIe5kPmc/9U8SeSuWQv8kIgWUQ/dJ/b1sfl3ntrf5h5jD4M6T+0BK3H7l2fx78R8fg3Qg6/FuBJQd2tc0rmOcL6lqm1qGi5LNuuL5fk5/fffr72uy/u3zxf+p9HI9Vapu9UyUPmWptt1VbSz7eHuKJLcto4o44zimitc7+fFNkU4FwKAEWJSa6BvhOY91Ztw6156+1iTAn5zG8E7T9/HQ75c4/Lj0qhgCiouPHSd1YLgxR+2xmdXwrLXlSPyq7XAgopGpXsagacOo989jJXVbB+APIF2E9vnedyzqfDub/ZH8v9sxMrmAG4L1fU66VK/TdlRVNJ8aaTuZc34nUNpqvw5F4rEyGaaxn5zTsUzZd1HrDKIlbrhGwVk61C8nVEsYooVwFN6Tv5fC0Q6fGmNd5uhdmpsLs1TCu6aU07bWDSYmY9dmqwsU9oAxIvcnZGNiI24dAiIkRNK1RVrUiybotB0hcV5tRq47SgO86onuUUT3Pao5x23SCiLGKtswhjroKYcwHw6VmXNfZsyehqzWGfcdCXTP1abVDqWcNfLP+U//n/4z/dgvPb+OrYgvPb2MY2trGNbWxjG9vYxja28csZAsx/+qxVyfuy7Hlw3/K1d3xmE4+iaHlxXHB0UqpU48FeqJL30/FX+4n/647XwHyR7XwNxHe5kta+3mRB70tDyEQbIF/aAOxHXUsioH5VaQtL12xdK9tpI42qEopKix3kFPvPbeu+QS518/xBOlXYl5v9mxzEAVaY+wP797UsQLtIIKiMv4DygXoc/jJH1XRcFp2C8FcDGH9VtPoZSgjAvRNbprGnC5s3C5Y38dq+24DYZlnzcz9z/fit58rvDhRMN/ieEYtI1x/2CfBdewLYO/C+NDW5qdT/fE2lbOubMNese2Hgp0ac2YVF31L34loti8WtFgSIN7nb78D3rw4HjvmyICve6bIQLMCZZtkWcE1k2B2wtcnOxVZYWbceV1uG4Xn9ZpHW08XqzfHRJpKfnbANYeGVnHYrXnVLTrqlFg6ITcChnXDPm3DfTtkxyU80bkghgvjZi1S+FGHoQrJco1KgoFKjrq8L8ZL1Magr8XaGZm1o1tCtlY6NzVsCWxD6BUFYEsQVNm7wogYv7lXaWPDiqO1Jmp6gbvEK56fdNbKg2jpP2KZVGWNlRUuW9y6S0nIeCvt4YFWZ3HnQ90uR718P8qXQWUstYP1kQj2ZUE3H1JMx5WxMl0bKHpUFZfklmywS4QpkS8GF7RQsElZi5znp067Z+BnLYC6exnIAb3yOtd/0+FlFfLUkmS9IrhYky6U2Ga9UydlY8mRKHs/I4ym5neCvGsImJ6wzYpMReRlRnxP0pfrGarPQS8HPLIXpCHZSzGRE7U+p2wlVEZPPA6qlUcag+uzGPXnUstipubzfcDlpmAeNFnjIOZYax6w/CHzuRxGPBbAPQ6ZhqLYKc1bXDHvJlyz02hAgSQB7AeufcJ/Dfp//JvuI/3z+bb6bH7Fq17pqHzFhNxrxVhTxN1chT/IxJgxVXSEN7nCU73L0nTWHn8352smKg6ucoGhU4cHIwZciNSkgkZPRnYQ3kteyTz4Xb9M6mlAUBYRZ21GK9PrEqMy03fXxJx5m0tOPS/qwQjQl/NadV3oteOLTHeJ5UwKzT8w9ErOHSBp0ly3dRc36qOXFicfLVcCrKuK8CVQmebJneCKs+sfwxhPDwYEhN8KWFeWQ/hqQctmpRdTD9vW+63brebfa5uelidTvSZ1TKPvQ8CQc8040cTL1/oSReGdvwHrJy5vcLhr6/HMMT5FzHnt8tp/znfGc5yxYUbPqa7pe2I6bOiOnODIlYGpCojwiOw6YHwXMX0ZqXyDFU9N7Kw4e5LzzoOft/ZADJux1E7Us0c9OxqbYYmInL91GsIxKFlHBPMq5iDMuwhVX3pqrfqWFI23esvzWnMUfXpH/8QqvMOy+MeOt33nCW3/tA8bjx1TLlPUiZLZsOTzOmeQZf3nvkj/wn/HR0Uu6j5Yk3y8xZ4LceBg7Y7TzgAdvP+RXf+cNvvlvHPLm10LmtuDP8gv+LLvg43Kpx+i9aMo30z0+iGfs2FBZ7j/rudkGwvlxv3fdNjyrBaxfKbv+ebXmqM71Liv3kHtBwhvhWMH6RwLaByMF8j4fMk7kpx2rFy3L5y2r5w2r5y3lXHXqtcgouWtI7kJyB5KDniZqOb+A45cdx6/g5BWslu61q6WMFlkZ/FBsUTx8UfEQJwrfqCOFgHlqV1NDVsuc0P2dUWyYjQw7E4+dkVhluOfLz8rvkHvH7h2PO/csB/cscfKTH3t5beWVvNeW7LgjO+3Ij1uXz2Q8uXmuvJZox1OgXnI0k+b6ofR3jO6zUlD0I6LsK0644ri/5KS/ZEVOTsm6LlkXNVle0xbig2WhtJBbPSdFcSDMI21+GeLnIVZUCAofk/uYwtKuLG3u0cm9p5MiPEge+ozeC4jfC/B2xa7mBoDX+3pzA7r/xGC3J0r3MveCwN/Mw9S2283HNA/ztaG/2b95zvXzZS4n93/v9efL6zxf9ZwsOk7mLp8tu2uRqZ3UsD817E56ZuOOyUTo1C2lyJv3X57LW9ufFwO7Vra5Lgp9/XP8MuWb1x6/VXkq55WMxaJAIn9T8/D3pZBIbHxEGF6UgTojEhMdvcpDtPRS+NlL01ucu7Xp1xHnZ9928hl69K2zlJC+5Juijpusc1KdJ/fuO5Mo9g85tkbbtOmZ1R2zumengmkNM4PaKug8xwyFMUMlmyo2fG4+Lwo1cg8Q+6k+t9TzgPoqpJ771POQau5TLXzKhU+1luKI4fcMIXMrG4pVTYuXNpi0pU9r+nFNO65oJiXtuKGZSL+inlbUk1qta1TxqfdVNSvqZf4QMxqljNJU7XlEhSERQ50+JF36jI4hPmrpntbULwpVj2lqESryWNiYKxtzVIcsektXVqRXC0aXV9jzZ/zdP/tfbsH5bXx1bMH5bWxjG9vYxja2sY1tbGMb2/jlDgHfn75o+fDjRv3p7911IP3ejqePvTotef6qIM9bxiPLdBIwSqw2kcAPhQL8SxwiG/15wF5ZJZ8H8oftUtk53fVz/lWuckiBwCSyTCLPtdBjOmwn4tP5C1o48eMA2XkxMOHzTgF46WfVxoMdZrFlJ7HsxpbdRPoeY/Hr/CV4vwJqiQ/6qq9c7ipWw7Yw8h1Y/jqgHlwD7Z7m2/uvn7cB33+ONgA/bcji7lm35qhb8KpdcNqtFTwV1pEA9fe8KffshJmJf66vWX07ZYG57VgtYHHZs567li0gm0NZtfRhgRkX+JOCIC0JoxZxp4lE1jVN2B0npHFCEkUYaynEc7Rtnf+oLHprX/Y5P9LNPgEfBMCNFznx1Zr4ItMcXWZElyuCZe4UWoUdF/o0eyOavQnN3phmf0y3P6Hdm6h1hhPYGFiMWizhth3LzhVQKONN1ABO59jjOd7JFfZkgTmZY7LSLZgLCnFnBoc7cLiLubeDOdzB7E0cgDX8Pn2u+BJfGFanPevTnuysZ3XSU5yJgkFGUGckfs4okuwA/KDL8KsMk0mFwq1zwo8pRncowj1yMyWvRwJD0wirLzD0aU+131M97ji/W3MW1JyLVLMWZHQkAth7HrvWcj+OeRhHyrAXwF5kh6/MSqXwBbA/UX79ShfH3+Ux7/GYUZ/wx8Uz/u9Xf86fZc+Yt0s9P8Snficc8YE35n+SjZgRKzd8t9pnGd7jzwpLcZIrSP9rZyv2P7mCVX0N5PaTAKYhjAL6cQBj6ftDP4A0oI+EKdmTm4x5MGfuz7kKrrgK5mRepgiD11vG1YRJPWG/jYmkyKtfSIWJqkL4zVDMJUCFFtUF9MUIU0yxxQFhJ7LvouJgKCvD8YXPq4uAo7OAs7n4YItQSsed3UZPARFG8axBsFHNVsBK1xxgOfQ3ai6dAG6u6ENAQy0KqaGtQRTOheHb1R1RDP7dlvww5/RwztPRJZdiCAzc9RMF69+NprwbTzj0Xy/W6ZuebnULtBcQf+WAe91eCf1VJMt7Sq9l4Tcs/Jp54Nry1rb0JS9sTbUMMK9SvNMU82qk78EkNeadc+zbF4weZ+zHIeM2ogxKSmG6hyW1L5+BA4AE/EmLiFEeaxuvE6ZZzGSVMF7HzHKxyOl4/vyIjz99ysdPn1HXNXuTGd948hZvP37Mt6Mz/rR5ztMXx7QfrQkzS9DEJNF9RrP7HL75iF/73cd8/denvPk1n3RsFOR2gPw5L+WaMx5fj3f4tW6Ph0djik/h6mVFzopg2hDOGsJpSzDtCCadZpExd9VDDoRzmivN0FR7Rc8q+df1N/tvnucKX6Rsy91prNyF8MRXfdjn9t/Kxsf0lrY1XFStk7mX1lQcNxVl57zgJ33EfpsSdz5hZ7QJ5hU0Q78RZXWPUJQZclHo8OHc0p5b6guP6lKQdTeGhhMB7SE9hPSeh92Bee2xXnYUq5o6a9QyROpoPPU0lyIWn956NGIf0UnxplNgWhcd82XPMoN8bdAaJsHiRAHDNvRWVGlad/4v5O7tQMlw0pMedqR3eiaHPbNDw2wCaeHjn3uYM6cy0p8aujORVRjGdU9sGTzSu5bJoWV012N0aNV3vZp3CuKXiyFfdVqoUM172uL1iaefGgfgC2C/OwD4Ct67fihg/uRHzxHrvmFNoaC9WI1IgeGqK/5/7P1prHbZeR2IrT2c6R3vfL+h5mKRokiJpEarZYtybNFwANuwDcRAEMA2uuMB6D9OEASIjRgO7PyJEzuNTgMxOrAFO3ZHsTpoQN2GBA+aLJkWJZGSSLGKNX/jnd/5zHsH69nnvfd+X1WRRaqKrKLf59auvc9+pzPss8/5znrWWrgoGkxWLWaFx4KCUrlGnhtUuUVbxB0LWkjP0K6FyiqYgYcxXuacAJKvQfAu2VVruZ8VWxmtxeKEbdYpGdjGIBP1ga5oi+htEjre6/CSrPNoQgrvUS+WV4D9CetZSBxkDFOFg7HGwUhhf8Ra0xnrPb3HYVISgfUC1WW9bCrMmxrLusGqoX1Si1bXaGyJmj7tpkCjSxSmCJ7tnVWMbGdnpRMsdYK1jvUWxhsYb+W6pLrChAsi5pJgwZnBc+YI9zlk3NOmSf6N5PjvIiXMfCZikKnvOsY+z/kA6qtrgP+jljo8j5g00Y+AYaQxjg12owiHcYon0j6eTgY4jIbY0wPs6AxWfFLe5f5zDvXcYXVRozivsTqvkU8bFLNGzq9i3qJYeJRLh3IFVEugpPhOZ0x/+e885WETB5u1MJmDzjjeG6RPLBB9zxTFoMZq0GIxqLHo16gyjyZ6NCmA7PthmeDgJMPeUYLxgwiDNyP0joLsv6s1ciQ4dTG+8Pop/jf/42c34Pwm3h04/8orr+C55577Tq/SJjaxiXeIjSfuJjbx4YnN+bqJTXx4YnO+buK7KQhS331AkL7FfOGwv6vx0ecs9nYD+H4+qXF0WmK5arEqgm89I4oU+j0bAPveFWgf8ancd/n5ugYBCdzzQZX0Xb527X2Pfebxvrd9/zX2Nl8jo5gS7vOKD0kDu3gNYDPoMz7oAPtL8L4D7glk8/XvZHC7uf5rBrwA8XmLGaWEuw3tx1rA9wDAh3qcaHmAvYkPXzAxIbDqZ3jQzgS450PhTMD6ANSzHqrkkQfZ7/e1VewRFsD0xGNy7HBy5HFxQhZwA6QF1KhANCwQ9yoksUMcKaRRhHE/w6hPwD5FlqYwpFG+TfCh9xo8f9vfp+ft2Rz+dAZ/MoU/ncOdTkN7ll++jyoYam8EtT+G2h9B77I9EnqfeziBf3gB9/BCak/UhKEVNN9P8P3GNvSNbSiC8btDkeH/ZvcTQQG/tlqoHfILh8VZqPOpw2riUC3WdgkeNnXIuN+SElFUwJoaBhV8U8NVNdSsgLlogXmMthyiwC4K30cLCxcZqKFBekNDPaVQPO1wFFe4VxQ4rWrULkgOU0G5T8ldrXGYJNcA+whtnONldQev4T5qNLiJfXwUT+JJ3BCg9ZXqBP/txW/i88s3cN5O5fsilWA7GuATaoyfrEcYNwm2T4cw/ia+0uvha41D7D2+x3jU/QitNSJtLYT5zpKCwN9b+q61Q331Higa1k+7MpFi0gX69G1vDfYuhhifZOjPNeK4htpeQsUVjG+FYR+8PADHpKy0hyjZRhofom9vIcWWAOll4XH3nsebd4CHD4C68GgqFghrr629SAwTaGRN5muoeT9AyfdWjmOSVEhSlhJpUiHNSqSyXCFNw+tUiSAg65yBaw2cp3uv6gBQjzLyKKxDS6sNq9FLIoyTGLtZgr2MQLVFzLmedgLiw8CkIxYDpS1sthX6xTY4APUsj7TJwiWIL5k5VN+oxXN6Sh/qqsTdoxZ37gIP7wOzUy1AUztewd+YBZUK2YrO2mVtoM1azIfD+Ja6U7V4S9t6URVp756geekBmq89hC9qoDJI9Bj99AlsjZ/A4e0n8L0/dBPPf2+CZz9qsb1nZK58uZhdMuTpmZ05je+dbOPpB2MM7yVYzgoUvTP4G6fArRPowwuxrRBbDLHNYCLF5ewBNASPr/6M1oiMgbUmsMhp06EJqEcwim3WVvq0tnCaySUObVujdfSwZt2g8ZT2btB2gP66JtBPRi7Bfq/JzL26qVnPhbXyqKQ4Ojkgr/qYlWNMqhGmdU9e43skTeial/m6ZqGaS+YNRucx+icJeg8jZMcR4iMLM6eSjhJ1D4wJjLG0KG2LyjQo1sU2qOMWbeThUw+XAC4LUu0+A0yiEKVM16FPPRVADPKlRuMJ0FP6vpR90Jwa2LsR7IMYyWmE5DxCNrdIGy15ERwzPnIo+hWWOwXmB0vMb08xvznHYmeJxTiHs4G5LFApt11xTrIYqy1sqzF2zBjbeiRgNdniAmzXBvFCw84MzNzAcrtnGmqmoOYKmCr4ebCfWTOamXgTjSiVDyyXZ7KPDp84hLMGtaZtQygUssh5z+k9VpxqqOxildRZT2MwVBiOFMY9jSx1iLMGJi2hs1yAYYL7FRpUqFH5RuZhAsNcZlte82G57N63tix552sRL3sGTR0hAsF6qkXQooEqRKGINDmlx32CtIhhVyyRFL2yUCuDZgU0K4965dEsu5rLS4cm95JsJOOVU5BMQ1RH6ixhTGhzemBd+2DJk7dU5wJW/HdAd+rZSKGXAb0e0Ms8sp5HnHWKKtxmMumZzMdagO1WwH5R8+oUBZhQwqleiiRHkbke/NvRBpug8HNXyXqXFlMyjYU2a95DM0FCVCQ4Duy66JAgIdY9Cjbq1AY6dYho3WeBZMQkEi3bduVstU4YvHK54m0GZ1Ji77KdVA6gwkrXDrVD7hosmhrzzo7hqCrxsOS1vsJFXWNaN1g2QZ1l/Y8h/rMyDgInGEUG21GE/SSR+4C9KMGWTTAyCYYmxtjGGEubsvVW1F7aTu2FrHxRpeoUYC77O7UYpifVTLhcBOWOatqinrVoZg7NnMWjXUBKPVWoHlrE1uPm8wWe+sgK27scSEFFx3NuSTVcT6MZaFSxQ2kdcttiZWssbYW5qTDTBfyixuDYYvvYYvimhflKiT/+f9sw5zfxLsH5l156CS+88MJ3epU2sYlNvEPkeY5f+IVfkPbnPvc5ZBnvPDexiU18EGNzvm5iEx+e2Jyvm/huDP6z/cGRw0uvNJjMHLa3Akh/4+CKoUsgPy9aLMlwXoWaoD371v/qj2P9FsCetf0OgfbfjecrEwIWAtgTuA/+6+uyqFoBjCQUCZ46gPcdaD+6xr7ngzked3kA2gFI4aHgdT/0q+WvW3cg1fWa6zLJKQ0aBkdi1SX4LkB8x4gnq2oT371Byf5jgvXtDA/cHGduKQ8weyoWkP5mB9ab0n3bz9WWXsTnBOs9zo89Th46LBcEE2tgUMAQsO8XSHs14jjItfaSBFv9DP0sAPZpkkB/E3YSAfwmsMuHxE7mVUqathcLNKczVKdL1BdLtPMcfpmLvH5Ltn0HEmCQAaMMetSD3kqhxynQE8pesB+4xvqS8zv8qCRIrPsuX++ygdbr5AnKv9snuDz3m45FXSm0LIVCQy91ggqUnyUAkCrYnqMpMZSvoV0Nm1eIT1fQ5w5+FqFZDlGUW2iQwVsLPbLoPZFg+IyBewqYDBvcr0sB7E86wJ4P1AnY9+h5Hcf4Qzs7uDFI8IZ6iK/hTZzgQvxin8cTwqbfwlBW+0E9xf/z4j/gVxdv4LSZCshodYxtM8T3qm38Z80Yzz8YYPvOAV7bH+PeICgMBF/eYGUgy9frNV4rCRpKZOpph1DCoUCDQjkUqsVKOZGaX0m7xZKeKJSs1w16yRI3BhOMd2eIRgVMQgAlwa7bwrbroUfQtVihKSZQVQVT1TD0u+2Oca0VmqaPermN+nQfxZu3gLNtWR/CDpogf5LDZiXiQYWoV8BmFWxSwvC1qITSlYDzSoyRA2AYEBmiU/T3NXBgUWIvcXoyQ1tHSNQI1cKgpMxwodFUZE9244vWDAQibRvsGaIWRrPwfPKItUcSeaRRsJwgyCMS5ARjEoXB1g56owPE/QOYePAHYqZWpcebrzR49cVGEnOoEiTsaiYrdFYatP5hEZCss8BhW/p4rlKaWzDFsN/X59w6/c65FsX8BDtbW/jE9+/i2Y9FAsYf3Ar3UpSa/nJ+gd+aneJ3Vucoly0Ojgd47v4Yu0cZDHL4vQDG66dOoMcFbEqRhjF2shso/QAPKoLjQlqW623FBJolk49a5HJPVqMoHIqqRcXiya5t0agWzrRyDFzUhMLjYrt+0yXcPBaPg+XvWHfgeocOX9ayd0Sq2gsgrVUDhQpW8fhbDNUAQzXCQG8hQU+SBsjYV1L4BZz4ePbxS2m5Eti5DWsoOALTDw3wQMMsNBL6qteQoksFXTEvRklujGceVMGECh6rbs4LEHmwE+n86vmTLmnRxq0A/ZVtUSuHbJoinSfdeik0aYPVdoliVGJFSwsoFK1GXkTwFykwSYDO411kAuiJTT/srQZ6q4baaoFBK8kHpS4wjU+xiM+DgoHX6NVbGJS7GJQ7GFS7SOthSNBR3fp24D6X19IPtvCICiBaUYGgq1eAX3pEpUHqY9hWwTaK6uxBqaANICgTOoOUfDgHuXz96qbjkMRASX3Wl8tRBwx3Sh380Brklj4ODbYJHPNwdvkw63E5Q4ULX+DCVZi4EhNfY+rJ/KYChJdjZ3MNU2iYXMMWWpajwiAqQn057GTQhtEiiRKZg++1UD0H3Qds3yOi6kBPIx0w2YAWJoFBT0ubMC+Eet1H+wVJYJJ2sGO4rCtK/EdweQzkMXwZA7URyyteE+ScEjUS/RbZ+iuQvQO6r4HdZJTz9pgJNiLtz6JorUTlpaB40p1Wci8jyWIyn4U2k3ckp4vr6LqEHo75Dvd+xHmrSwx+2+u/BppthXZHo6FdgdTMRnjrXCxnqGxDGEfXAfzL/pBPIK/3E4VRpjDIFEapwjBTokCwRIk3ihXeKJa4W+R4UOY4LksB8Re0H+JVTeyfPIx2UNqJpP6VtH6wMljv2281+NlLSyhaPyl1Wc+OW8S/2cPgt4eIJhHiXYfR95W4+UKFQwVsT4BRqdHnPQHtbQYAMt4L+XCOdCG7XCu0VmNR5fhnP/vf4e/9n/8fG3B+E+8OnH/11Vfx7LPPfqdXaROb2MQ7BKW1XnzxRWl/7GMfQxQxlXQTm9jEBzE25+smNvHhic35uonv5uA/349PA0h/duEwGmq88KzFwZ6WB+VvF3zASVb9dcCeNUH7NfMhSa5A+57UgXXPh0vvZ/yndr7y+NFD9TpoP5O6Fdb92rudwYeufLD/Fjr/uwg+ZOPDKdPVb7dM5v4agGdJ7YdTgn8T722QVXfUgfX0rD93QeqbPp3+nG1gd3dXgN01+HUFhF1JjQa4ef3K9eXH3h8WpWWUfsRKYG0tEKsg1sx+vzSoziyKE4P5scbshDLHDi6qocc57KhE3COLuEYckdGlMcgSDLM0/GbH9HbXa+fQNE4eoIcH/Z1t+WP1FQM2BGGR4HFPGE6hRoy2Cf6+Heol55SJAtONiiZkuNlYIeqKJXjSseeDhP0VoHbF9A8sO5HMFxZeUK643l5/VtSMyTgWYChIt4oodsdMo63AsmPXL2cOKzLPTi3sK5nMD+iViHYrRDsVdG8FpQsYV0M3NaLzEjhz8PSRXfTRFFsiCKt7FunNCKOP9dC/bbHabnEaVTiuKry+ynG/LOQ6dCuy+EPb2/i+8RhzvcTXcAev4K5wOvexjRfwFJ7FTVgEadyzeo7/ZvLv8SuLOzipZ2hoOUH2qhnhe/Q2fnK+h8/87gG2jjNEbfgMx9HKeMwjj1nsMI895onDLGKfC33WY2kJml0hMYTnRk4LQ37I2hn0vcLJ0OGlQYlT04rMti4MhjXwrHXYVxUc/aFXFaoccLkFSgsbt9DjFfRoid5wiUFUYqBaDJxCv0u+IINxaRwyr5HSo1dAkQ7sEXY7/e0DIVNqei+v2/qqHYZaJ2HdnUtSdWNbzitLpnuXHELQkCAsgaHGo66AVmTwlZQmT1CWCYraYlVbzFsjdV3G0KsEtuh8rqsIO3GBmztT3NqfoJ95JEmG4XgPvfE+ksE+TBLLPPHtvq7I9q2BMKkDUCeAfmd7s7VDRQBue4uz+RJfnJ/hd/ILvD4pkB6luHE8wo1JgkG2hL15BnXrFPr2OUyvRZJG2Er3MbYHGOEQ1o/xm/k9/MrqRbxcHCNbJZL0IDYETGigr7bubE84l3VlbYtiyLgVT3EtvuJ+xaLhliwGutLQrYFxBAE1MgKWO0BvRyPdAbLtjpX++H64nG3f2n+lAPToq4TTSt+gIAjrLzB155i6C8z9PLBYOeiQAT6G81Fg3XIwfYMgnJ/qSOahgh4M7xCJsuipBP02QZ82A3WKbGURLSNECwNLZvrCIK4iRJVFiuTyLzYxRjdi9G9G6O1r9A41ov7XT8zivDQ5czh+0OL4QahPHzqcHrWSLCL5K5HC1p7GaE9jONbIxh6r0RwXwzMcDY5w1x7hxE1kn8Y+wk21h5s4wE2/jxt+D33fF9ULsoSZuFTT352JJbIc2rRmOVueoowqmJ0Y86jAxKzgI9p2MMnJ4obOcMNn2HcsKXbaFGMXA0y8Kr0UJmM1XbstmZjVtbnL18AvN6td112f6/6t0AQ59rxpUbSN1LSIkWsf3Ri8QuoNEgSbH7E54Bgm+N/j0CDYHkqbObSUEE9blFmDPKmRpxUWaYVVWmORlljaBjlZ/B1zW/44d801cJIApxEwiSURSa0TEuTcIouc9dq3PkjzBy97jcQGiX72pdZ0kvwaqbXoWZ5LEYrcYpVbKMd+vs7zkUoWnIR58Q7JMGKZQPUIyti3Dg2l4j3r4CfP5ZL3EDyWwu7mMV6zvoP1Fb87i8JvZNbIOvRkXTT63ToNIivthBYmHdv+UpyCKD9l5zluGqCiN3rlkE88lndbrO45rO63KI7bcGwVEO9pxDcMokPWGtENA5Xw3xXdfc1aOUZUeK71SRJvGA+LEpjnHnMqvHSWAQwmIkgeYgfYD7uaQD4TJVeqxBltM6pSQPujssC9IsdRVaDokvd4nLmdPe4LY9AXuwSDAYu1GBiLoY0wtBYjKRGGxmIcsY4QayP3QO8UnNsu2hL3ywVe/vIKd/59jelvAWXtMHtmgdlnZlh9bCEbvJdH2JvEOJhFOCwT3Ix7uLXbw85+Brur4VMH3zS4ODvDf/1f/Vf4v/y//vEGnH8/4vj4GP/xP/5HKb/xG78h5ezsTF77i3/xL+Kf/JN/8g2/g+/5y3/5L7+r3/vH//gf4y/9pb+E9zo2nvOb2MQmNrGJTWxiE5vYxCY28d0fp+cBpD8+DQ9GB30ljPrdLY3tbY3R4OuDrXzII0z7S9C+kboor+QK01QHsJ4s+2v1d4pp/90eZXPFshcg6Bqgbr4e4H7J4FmzXjYg+ybemyBQc9TOxbN+4vJH5Vqvy7deLuGx/vUrXV+gzV1+5vrrQda0DQ+4pW7FS5U1H3S/rcwuQYOLBDhLoU5T+NMMfhF8vc2ggN5eIR5WiJMG2muoNgBdwpasDXxt4EoinZ0kLRl0BMPjNQsRMKmHoX93z8P0WAMR29Gj20zIS9QqCqBZaFRLhXalUVN6eanQrFhruCLMn2voTPP7+2QOtlJrsghZd22fBIll7h8C7aKaETiZHfDe+dTKzvjWgvtrXPaxNRui/3CI6E4fxZFCPmuAXgXVgfZ2mEMnS1CAXNGLfd5AnXn4eQS/6sEVA2ifINmK0H8mQf+5HupDj9+1c/z2fIZ502BoDD49GuLHd3bQjwzu4CFewh08wInIIz+LWwLU72J8uXcf1Of4b6b/Hp9fHOG0WqD2hcyPPTWQ4/YIu/By73YXso5lrrtagA4yX6XN18nvvZYyQmY9AdFSwzYdeOoVau1RUUaffuEE9OnD3RJc1+iRLUmJePpf2xqNqcULW9vAPs5gkRDU8gq7DXDoDIatwgwtLlSDJZn6mqAGC9dNoa8tBsp2UtGRyEQPKQmsE4w06wxjk2GgUkSavuP0H7fBf5xMep47PkflCtQsvkTjCpFCvwbPCrjP91NyvSmMjNFqoVDNFVoC9gTx4xZlv8Kiv8KiV6BJK6hco7o/xvLOLnrTHg6SAre2ZxiPViDVd2o1zvsKp6aHpR9A+QyxyIAbxCYUSronbNtQCJ5FHUgm17eOnx3U6lWngvDYslvXVyoJxNUk6UfY1+GYXpbW4yhf4nfyGV6bNlhcWAxOM9yogeH2HOmNC0RPnULtzWFThSzuYTs+wFgfYqgOMMCuJOZ8pbyHX1q9iN+ev46tB1v49PHzeObhLQyaTJI9Ls+tLmlJEiQ61rIoaXSToCTUdMvdakvNUclzu2kU6sqjKgnIUQXDh0SKIshY8x6gN9YY31DYua2w84TG6IZGuvXe3QtwzEz9Q0z8fVz4e1hhIv3cFyPcRA8HiLEDjqzS1QHg97WUsFwj97UwXDMdo6cT9FWoKYdOpRb2M2nhG85VBEWXFcp5iXJRoVqUqBZVmAM4e/cMzCCC7huovoXpW/hIddLZ62tLaNO6IHh28/oSXgvvcVhceMyOFBZHGvMjhfrMwl3EaCcG2jHBIiSTDYca/W3AjXPk4xmmg3OcDE4wG06ArQJbWYzn4wMpz8UHeDbex0Cn33A7KTV+3BQ4qnMcNTkesq5DXXQJERxnezbFjSjDYZThhmXN5R76neVES7NxnheJkWSZwjXyHSwPpKykPm0K2X9yXHWEm/y+KMPNqCeF7W0Tv2VM8fz6VsYZP7eYeRzfb0UV5/h+g4cPWxwRZC7C1YzzZ7bN61wAh6UIW75TzeiSb0IiTlhe+7Z/I7Az6DyE9Q7qDO8u1vct4TTu6keWw1VLkuc6Sx2u/7oO1+swVt/p+znnyf3/tZr39+tEhEsZfK2QWM6hWpY5H1CZweQeZuVhlh56KSdGAPozBTVW0FsaZlvDbGnoAUQ+nwkPl+oATBCwV4oBDOYOl3WwC8hZ17QQ8MhrWmF4lLz5uabUkcVUMgL6ZN6nCn0pgKKlhKlR6BqVaZFrqte0yFUj7YVvsGxbYeAvW6qQvI1aCBT6TGgw9hLIf3x5HFlsRzF2ohhbEcF8jTp3eOMLFV7+lRx3vlqijR2STzdof3CF0yfneJgv8HC5QEPFucpBl8B+meDQZbjZGyBBhf/1f/m/RP3inQ04/37E15tINuD8JjaxiU1sYhOb2MQmNrGJTWzigxir3OP8wuF84qSezoP0sbUKO1saO1sKO9sa22MtzM1vFHzQtcqvAPt1+zpov5bHDyz7ULPE0Qa038QmNvH+BB9fEkCpHgHur4B8Aip0yi1WHotThfzUID82KE5tkHjnQ/HIoU0aKS5t4dMGyAIIbvtdoRetDeyw9aPCR9imjzBSr/qvJyS8tQ4PrAUMaJSwY7GycGTJLsmUtcKSdV07YC8dNE3f+L5DNHCIhg5R3yMeOMQDIBl4RMmVlCu/X0Sn5YE+mf2Ufe9Y2Wuf68vX+H6Nla8k+eKBWBvMBFBj/4Ee4BAjbE2GiI97WB0DyxOPxYlDWVZQ/VKA+3grh+nNRXZdjNNLDzP1wDKGX2YwiwGSQYrBR3s4fxL4rd4Er/lCnvw/18uETf9Cryey0WTTv4w7WKHANkYief8cbosEPqN1Lb7kXsU/m/wufm8xwaIpOwlesvBYOtlhAePZ7qTfL1HRIIDfIaQBBvEGqkvWENNttn0nAU1GJoE4WgEQzKdHcORQRZRSz7DKM5SVle/c0jE+MRzgT+zv4lPDEXK1wLk6xwlOcOpPcYELsUqIT/rYfeMmspMxNH+b0t8EP8RmomPUEozqPHdZKkdP6Fb8oDmOuxyXy7QYslcTFSHRFilrFSEbWuw/keKpJ8fYzvqX5xHXofEE7MsOtC8EtGe9BvFZE9wn45bM+oYs3GWEepLArRLUqxjNZIxmMoKPHdxwjjwqcJE7uVfoqRJ7wzkOt2eIkxqNdViQQTuoMVUWRZ2irBKUdYS8SbBqI+TeoLIOte2ksp26LEyEUI8XKlK3+rL9+Pu10wLcG9/VsswEHQU9txjbFfoHU/RunSN56hx2UMu5NIp3AiteHWKkDpDgSq7/uJnhl5cv4vPnr8DezfCRh7fx1MNbyIoeGmNxDw73eK/E9eDvNFw3nm8caTyVeS4yYaOFtTUi28CaBpFpYGwtbWu7El21+ZphbcRBG77VcCydHPd62ZNd69gfigxiraHJFk40dMrEIw3Fe0ECZcSIUw/0PByZzrECkh6MpZIGwecAQhNUJxAtrH85dwqscIQljjDzD0D+M9/FfbatbmFL3UYfO+8KtCWLVsB8tB2gT2C/QelbFODy9f513/o9oWbJmxpNS+YwlRIcPMt6bubcKNYjVEzQwau8UxxhhCSQII0dtpNbE5RbqOjCbeY1ZuIKTNsSfmbRXkRwFxHMRYJoksFOU/iLGO7CyjjjjzOhzHP8jxeYj6ZoxksB7Hd3LZ7dG+Kjh9v42GgfT8e7iJkg8w4hCi9UiKkdmrrBpKrwsFriqC7wsMlx3BY4diXOUXUJKUDqFHbbCHsuQuI1TnWNM1tjZttL33OC7YcmE6bw7bSPW1lf6iElXd7D6/Zy7nHyoMVJp04g7YdOrtUMKsvs3TDYv6Gxd6Cxc6Cwt+sxHIWMqyiLYDP7DcfTWjWD7G8y/ld1UAGQ0gb1k6Kr85rqACExK1JKmNiUpI+1kvlU2pz/lRFgN2FSUSddT7Wa9bhaS6DLtX7d7qThw7FbK/Bck7Zv6WHvRKVg2akVXK5rp1iQcx2bVtj6RXO17mR+V0JtX2fxhKTCiAoAsMg8FSXWyWBGrl/JUiOZakRzADMWB9SdeoIF2h4tIBSaTKFKFWrLMaSCYpAkOYXkB7Hl6tj1j6PJXFzbaNFaZG271Ugdtvv6R9bS+ZZFEg5CO7JMDCcDP6gLKcsBQCsLWrB4OEmCc3JNabRDbVoppWpRGRfAft2gGTRgJpyKuoQTawWo344ibEUxRrMI/rcNVr8BtBcKWzcMPv5Henj2x2Pk41rOr3urOe6fzvBgOsf9fIG75QSff+M3cfLX/q8bcP79iOsnOMHtj3/845d+Wt8KOP/zP//zuHXr1ju+lwdwa4sSUO8fOP/5z38eN2/elHaSJDg4OHjPf28Tm9jEJjaxiU1sYhOb2MQmNvHBCbLc6Et/fuEvAfuqDg/zyfARwH47APf93ruXMhfQnvL41zzt2b7uaU/w/zrDft0mmL9hc2/iuz34eI0PIEVyVCSj/VW7Zn+QV5YHt2ufVwEQO/nSa0We/Xa1ervXr30+yJ1f2U8zMYcPOOkRvTnvwkPlcgXEaWCIrVUqZgVtJdrOWqJrF5SlvXpM2os1honGKDEYJV07NVITvH+/xlFdAsWShV7VQL5g7ZHPQ5sY+Dp4nLOhQjYAsoF6tD2AyOh/M7898fklUP+wnQvAREb7DTPETT3CTTNCv0qwOgOWxx7LkwDaz89qAXbJslf9JeL+HCouoJoW8b0W+l4GV27DDDKYmxZ3nvB4aWuJk60Go8Ti+4ZDKbeSGPfVqXjT38GRgNdP4yY+iqdwSMCvA6Qv3By/51/DhZ9i4mdYiEAyGbHBB5vApYDblCFmMofQqQOr2lcavjDwlYGrA5BmCWRESmxesp5GHBvEqgeNHspWY9o4TF2FSpi2rQA6mn71jcPpXGE5J1BvBICIrMd+Bnx02+CTeognToZI7sWo7jpURY3aVigOZ8KuD2LOnT/143zK6wvXLCPEf53JJlRqkNKpNhAcIcDvPNJZD708k4mh2M6BGw16tzT2b/Xw5GAbT0Q7wlZ+p3FAtnTTAfVr4L5qC+TLAqtihVot5Nqv6wx2tQMzZ9mWhIym9pjNgYeTGoU9gs3OsLtzhkEvh7YOy9ag6DXwe1O4pOOsEmhf9qEWfaBIOsn+4NVNOf7AMl97d19r8/Vr7xX6vFBXvYD88npXS59pEW8vkPUU0jjGVnLFih9iH1Y9uk/I/P6P+av49aNXMX21xa07N3D7+BBxmaHwBhe2wkW6Qr01R7Q3Q2+YI7ItYtMi0S0i3QoYHyuHWLWwooxwNc+v53+RaCa7XrS7LWnDUhSLiWCojqCjMEqaFk3doikcWpYS8LWHr4L/typ5XDo1AedDYoB2V8VQJjx4Qa/3Zzg5IMBXbYFZpHExAs4GwFmfywYromlvuaZ4pKrEWK8w1kv09RI8CxwiVG6EGlto3RaM6gVZe8qYE0zvwHUmWH29oIR6qkLSSSpJKAF8DH1WljNlEcMGWfIuoYDKCqry8HkLt2rgly3csgnJQ1Dy3l4vQW+QSvJQMogR9bmPv36SKZNm5r7EhcsFrKcX+6RrT+jL3haYzhoB7tcAvr5IYC9StBcW1blGQ5Cd284sLKq6jMogxc7tA7dRh7qTkKeUPLd5nTC2vv4z4YBWKdpSuUMBEbAyDitLJY4WC1Njpho0uhUm8ZY22NYGO8pgm5L0rYdG28nF81riBRBNegZRahGlBjaxwrq3MWsLmxiY2LztvcVy3oHv92kT0OL4XivMeILwnFO09tjeBXZ2WDy2thy2xi36vYDgcly/E0rJn4t6EaJejLjf1VzOIkk0+DCHJBU06FQxupqWBGI58mibdVsxQS4kKpaWTPQGOY+5abDUNWamwtzUmOgSpW0DkB15qXscBybG9jLB+DhF/2GM+IGFfmCAqQJTzWLe69w2SLY0ooFCNNCIpVaIh0rsImyfKkIhycNfA+yZhCCA/rpvLZdPtbYySOTPVx7TFa8RHtOFx2ThsFwx8QSgSxATbGKlkGggZhFv+aCYwhQWvs738h6b99YNa8kNDPfgDM6TTHZLtzySAwe718DvNih3SiyHFS6aCtOmlvvD5A2L/pdS9L8aixqOfd6j/yPA3qctdvtRYODHMeYPjvETf+wPo7l7tAHn34/423/7b+OHf/iHpRweHuL111+/9Gv/VsD51157Dc888wy+3XEdnP9n/+yf4fbt29IejUb4gR/4gW/7+mxiE5t45yjLUpJoGD/6oz8qSTSb2MQmPpixOV83sYkPT2zO101s4m2kI5cBqL+YBJb9bBEehiZxkMIPgD3Z9UHa8JsJPtggQL9m2K+uFWFZkJVkOtB+7WnfAfd0aaa1HGNzvm7igxDBq7kD2OsOXK/5APAKaK+qrq9563v4EPLtYg2Y81xYP4a7ZCWtH2Retq8ebv5BQxhJAtSHOoD2XR+lUaPr7+HrV++/fC9V4JvyP4lzlfu+bLwA9gTrBbQvrtqXwL0C+tEVWL+Vauz2LLYzSnWr919BoIIA9SsB7K8D+KFmEsg6ogToPQ7aD0Od9q8SFt4uyLI+dSs8cFMB7E/cUkDkTMUdUB8A+74O46HOPZan/hK0X5w2WLRT+O0zmGiFaJKj97Uc5n6KMt6D6/VRjAwePulxdKPF4kaL7e0YnxgM8Il+H3HU4hXcE6B+hiWG6Aub/iN4Ahmpv9eCYNcUE0z8BBf0y/YT1OSgNwrxvV34N7ZRvtnD6lQL064dFPC3lsCNFexhCd1v4BSlh6nKQKZ6g6mpBOzS2iDRMfb0FgZqANMmaFuLZQuctCVmjvC/Ez/dfK6FVb39IMPhWYztBQE/j/lOjsntOfB0gf5NhZ2oh0SYyEHGXdjJivzdwPwXtjXZ+p3nsO6k+AmGKkk0WBcCofRFbtF0f2VT4pWjVzCvHNKLQ0QPxhg83EW0SCWBYT5e4nx/iuawxOCWxc3BGE9GO3jC7uBWtC3r8Y2icRWW7TmWzTkWzRkKR1omWagpBnYXfbsjdaQy6T8/B+68PsfF8Qna8hiD5FyAYqcSNGYIsxUhPazQpktQI0ApJvUFOXj564DJkKzUsVfX4Pb11x4xzbheX6lY9NSWsLx72JLfuX5u+bZC2xT4ysU9/O7dO6jOcuwtMmxXsYBEZHHqrAYGBZqkRBs10LEL/sg6RZ+olbYCsjtl0GqNZl2URqUVKqVQaaDUSkquvJRCkUXeCmi9VkpYL5fXbD1IJiVQndLLnTXBXK8E1I1ZPMHnTh6b44YXm5WCW3o0uUNdtKgLFdiz9BIXP3ENSyuHaYq4oGx0jbSXIx0uYSLXWX1o+KQHl2VoxxmajOdxgsoYNATDJHGlQYVztDiBU+fwmAXLD6RwfgSLPiIMkaCPTI2RqgyZAO8WiYDu9DO3ArBTaYCiFWJrItLzwfs72Jxc1UxUYf1uwjXc/gZNV9huy6BIwGFCMNoKMG0v2wJ+X+5rg4wgektwWyGuqZJAX/dWvrvl99c1Jk0piU4E7CcoMEWJmaowMzWmpcNyDjSTGNUMqCYariJA3emliO938BnnPqAlC5UgUh8jVbEoiSQ+KGTQ5z72FpGPEPngoR7uLcJ1gF9D5ZjrwOXj8Rb7B6pzdGA6VUmYhMT7gjWAL/cKiUKUaAHz5zOF81OPfBV+l4ol47HH9rbD9nYA4QnGD4dUeglKDjrSMFZDR6arNUxkZF+L0kPEOiT21nmNalWhXrKuUa8qtPXV8SZoL0C91CHJgqA9VRIej9I1WLgCS19KzfOsFTsDJiQFP/RgFxPSpi77xVImjDeqlzBpbW0xI8lR/BPJeoe29ojPEiRnCbImQa9JkTYxkiZC3ESIGgtbG5jGAJUSQP7r6fCLAAZtdmIFzWQMtjsltLYheI8OwA9tntNyXEVOnwoOnYWDCzUVSkRSnqC+abCyjVwTaRWg5wpqppHMDHSlYWjx0hXJf9JXqjIy96YQaXzNewkWJgR2QD5BfIL5LElfIxloJEl3vVNB8Sfq2tS0KQuFWRGA+8uSe8xWHqvqagfxHmvcUxhnoR6x3VPYyhR6EZMYgIszJxYJotbAZJH7rdgoMDiORanhlsbg0CPec9D7DRaqxoPfrHH2+RbFq0AdOSw+XuL8+1aonmhQViV+7dd/HUf/2//9ewrOv7Nmxn9i8Xf+zt/Bd1ts8i42sYkPdlCa6OLi4rK9iU1s4oMbm/N1E5v48MTmfN3EJh4NPtgaDlg0nu6eI5DBe0FWfcesp3e9PJRRTOwOYP0uwfotes5/faCJD8j7PStl/7F/j1Lelp72wrgn237V4uSsEhZ+eI/D2TR86j/89gyGT0weWffHtuWxzmuqvu+8fO0zj3xdt/B2W/eW330bhhC7KOOfpSymKxrJRiXgfQuOm6IMYDgfOgtLVLxGQzv0BfnM68tBSnTtT9p5k15+7rpnafe5d7h0rMFsKkTEXc1zS7w/I44H1m99D0HutQzqNxPXQfrHQXyRFn0MyBcWLRMGGvoUU1o01JfLUkJSwWrFOni3CvOID3i/ziMkXk8nF09Bk5YZNbLdlB7NklCniUImUqQfbrY+1z2NWDQOBo8+MpU5rQPu5x3Lnu2TZYOXz7pkJAWME4OdnsFur6upHkK91vdwHQm4s4z21NsnGORAsfBYdUz7NeN+eko2frA+WUdvqLB1cFUG17yqtdI4MAMpn4puC2P8yC0umfWvVmcyGEcqFUb9zWiEG0+MsPXket9xTj9AudjD6cMlTs8vMH9yAb+skLx6gf7vv4bhkcHwjV08ke5i1Usw39N48aklfvv2HLtPRfjE+AB/sv8MpnqCl/AmvoSX8Nt4EU/gEM/hlsjfD9GDVRa72MO228XufY+L1xxOXq9wfjfIBrdpCf/UBMmPzzF+usDWPuHBPqJ2X1jbRVti2awEXGEkKkafvNXK47yd4KGb4txOcC86w5JgJf3R4wiHGOMT0zGyO0PoOwlwz8q5tYxr3L2xwhd3Jnh9XIJOBgQgotZieOrQTxaIjYPVLRQpgbqB1y2cChz6bzbWsuOsVQtMLgYYVgo/+LHb6H8/UZULFIsC/r7H6O4Au/f2EL2aofUKk9Ecv7j3Bi72fweTvRl2Br0A1q+L3cGhHcl4WIfVMcb6BsbRjWtg/QWWzZkA9hf1vUfB+uEOPv7pHcT6OQDP4eysxf03TjE7P4GqjmHOVqhONSq3DZvc6ubSbj6NH5tbZTlciNfAezA87uqrk+XR17twroZrHmLWvgHXlKjLCvmKigA5FlUB17aIGoPvbw28t3AEnXYMVlsOp6McD5KVgOxP2G08HQ2xa2PUKLHyc8xQ8S7rGxyrUPqSDBBwuVCCCkDwnQ8+1Y3rwEPH5AsnigF0aaCadfCp74BVURC48tumNcJ6LTii26QrooRNKwUFR/Dbd7VYAQBj3SD2DheVwep4jPz1PehXhxhUGltJifFwhWw4R9I/hoobxNZDWYM2SlBnMZbDBEWUooqfhtMvSEJJgwVqLFChQOlLVP4MLc7h/B044dlHgI/gYeF9MAEgHC4WFO/icsLziu9+19ce/kSvK2sQs3FBerwJkviucEDejRyt0NLCXa63QWr9elgmRjgmSGhkZLqzWINMsyTY0j3cMhF6LNYiMxGyyKCxHitd46Se41e+9BvIrcPt73kOS9Ni0uY49ysUrkJJxQ5XY+Vq5EReCRzTzsVR3aKVbV/bD/RUjF07xK7pY8cMsG36GOkMqQ4gvm0i2MbCNBF0Y6EbI31i69EYYSSvWcmhzYREXlPoBd+i6OqK9/elQzlrMegDn3zW4vBA4+Cmwc6BQRQTgL8C2Qm8i53At3B/wASJbDsk+ayD1ioXywWmqwWO8zmmxRKzsxXmx4Xs05WqUMQNiiiU3NQieV5zvn2X67C2hQkJEo8WUWboLDXSVYzx2Qjj8yFG5yMMZn15zekWRVzh1K5QRBMUES0+Gil13KLpNyLVHu4TNeLIII0NsihCL4owSBIM4hiDOMPIpHIchzaFNkbuKSUBgwkh68QQ1lRlqByaVYum9GiLULuSc43qCpNUWFvARfCVQuMVmB9Sa492CDTc3Ws7IGHB8/P8Pap0BAC8dS7chy+Aetqx5vm9TDaoQpIJVUs4T4VCayGPuk97IdeJnaggaiITWrD+uCphuecV+mvbEmbrdO2lU1g5hQfXBEA6kRWoREFtKcQ7BocHBk//SIR4j9eXcC80P3U4O3J46XccqpIf1kh7KQ5u9vGJT2uMflxhdb/B+VdKFD/rkOwrmI/P8Uv/9H/Cex0b5vw7xHcDc/6f//N/filrv2HOb2ITH7xgNuUbb7wh7aeffhqR/OtiE5vYxAcxNufrJjbx4YnN+bqJTXzzwccClBe89K6fEFT3l+z68UhjPFIYD0M96H9rD9jWv1VVTlj282WF4+MT6d/f2xdw3r9Fwvfyg48udwtfd/kdktbf4pX4Nk9FHv/dR/tCu6ycqAYwCWH9IrGLLDFICdon5hHwPiVj6Nsov8mHaVVNFleoWbjOy2WAnwgmxwIsB8UEo0PNdSTh6LLdvRakVNX7I+PdAHnhURT+Wg0B49fLTCr5eiFKxrKugRnD9Q3r/libEq6PLcvrsq3XgPVHQPdvDWD/sCkGrEF9Aew7cJ+lKBrcf3iKulbo9bZR1VqOS8kHvte+h/uRcwaB+kfAe2kHL1G+9s0qdHzQg+ca2ZCnywbneYuzVYvzFQG1sHfIsN/pWQHs16B9+h4C9t/supbLwLovFsD83GNy7DE7D4ke9P+9DtZv7alLlt7jQUbvlQT+DDN6yUNhR/eEUX/LjHBDDx8Bdcu6wtlkgvPJRAAfNTGIvjJH8pUjmFmF0mxhkR5i2R9iNYhwceixPGixtR/hY4c9PHPD4sHgAb6m7uCCrFwCB6VCPOvBHPWBOz3EF31kqwEOt4bYfzLC9tMKgxtKWOVk1PMvsOsvhAHJGGKILbWNnidgH6NuW5xXExSuFNb8brSNIWK4MsdkPsHxwwqr4xT+uA+/isQrfXVjhcWTS0RPOOzsZdhRA1gX42ih8OVpjpfzFaaohGFMMHSd0EEAaO17TV/jnjboa4OhtRgag7G2GFmDPgE/CyQGSDuP3lY7tGrNIm6lLtoKb5wf4UwXyPsaVSfpz9/Y1Rl2DdCnvPuyhT0yMPcTRPfHUNNEvIaXowJnexPc2TvFg90z1Gkjktu37LaA9rejHeybIXY6AHDL9MSb+3oQrF+1F8KqJ8M+b2eXYH1g1e+gb3YR64CQnh4vcXT3CKvpCXyzDIlVnU+zXGAFe1/XoS/IcXf15dwelsn6DfP+VVsKmdiNxaqIMVvEuJhaTOpcAPs0T2HKFAop+vsjvPDRfZx+ZIYvtW/izfoBMjR4WsW4pSIM4ETlgBHrDJEe4tQpHAmITkA6MG7JVBUQq23QtlRl4DGq5VjRasEzkyLwcuF5nAR870D4y20NQTbz2mN67WuvyKr2YfRYYZxHMCZGbFMpSZQijRKkiIShLjLwCDUZq0zmEDl4YapzPnA4u7/E+fQMK30GvTWBHeTyk3kR4+J4jNnXdlEdDzH0HgfbC+wOVhhkOZLeCnFawEetgI5NpLGKYyz6CYo0RWsTaHqray3b6FSDVtVodI1WF2hVQf0J8PLAu0GuXw999DT/P0BPDTBQQwz0SPpjzS2mL/z7c19CtvZiscIsz1E3DZTVaK1CazVoK99YoDZUP3AotEPJtRfJ/rYrDQoX6neS7+eRI6jfrgrEUNgfbqFvY2HnE+QXOwcyn6miIEoKtfzGEhWWIqWf46JdofK1gPUE8VvXMPUCXpjS7G9k3D2aAPJ4Hc4pJkRwPgrKFRzhshSW+ZoKegyhHd7D17UcL1wpC4jlAFUQaA/CZSYOhfa6T8YeZz1JFgn7h2Cw1N2a8RwSprsj0z2w3VkXggC/NTjOez5Cr4mRNgZZHSGuDNLKoO9jZD7GyKYYJX1spT2kJgoZKzWgGqGZS+2ZpMH6bf690K40moVBu7RoZgZtGVQ+KPOe7AHZvkJ2oJDuhBmCagScy6q2xtwVUmYux6Jj7/O6uUARllmjxFJVUj96hxXmA/rKU38i9RGss2LJEtGWRVtE2iBibWxYNgaxCcuJiZBYi9hEiFhHFomOQlLXNRWXSOYGHYD3mko9TqT0a9r+rBrUK4c6b0WFg6A/7TWEvc/7QR6WlieHEtDfFRqg3UutQkIA1TokMWCdPIVLXZNrJ4UkIIkNCcc/nWfEpkSGY0hMYhIB2yaoFXDES7Jtl2hkZgrpVCNeahiqhATvEzrewMUKrq/QDBXaLf6jjaurQDEG/ptjQab+NKjW8HrB623EBJXjAq/+/pfxz17+3EbW/tsR3w3g/M/8zM9gfz+wEDbg/CY2sYlNbGITm9jEJjaxiU1s4t0GH1CQXT+ZOkzpCzgjEN1JAmqF0ZClA+1HWpYJZv6nGAS7CNAXZYu8CIC9lDK01xKTfNJDgP46aJ92jHv2fSPAMniaB5C67sD2y7bIrTvUTegLbYKrgRVOoFUY5SJzev13Atix9ixf++Beygk/9hrXURjkInlOn1P26UfBfE1p9FDYpvezrIPIwAfJ+LJkcsMakA+M9XVw7ZLkio29BnTTlIkP62SCNRhz1V7LGm8C394EkPVxXCdSlNeSLMrwGsfh9eAxvDy+HWjf7ykM+zqoEbwDGPxhCp6v08IFoD5vLgH7tTR+PyZgH8B6SuKz3Yu+M4A9gw/hJ6cBqF8XMid5So12FMYHCtsdYJ/23/74EEC572YC2D90M+S+FonqZ+wOnjO7ONCDy3NU1BjmM5xOLpAXJay2SKs+9JdnaH/vLvTDC9RthkXvANPhDRRpjGUfWAy9gA5PpD1kqcfxfI68t0C1swRur9AcLNEMCxhRcSA5NsUIA4wxwFZXs2RIZPpb+Dkm1Slm+RkWqzOUxQK6cEhKjdT2gCxFESus5hH86QjJwy1EZ/0AhA5b2IMlsDtBuzPDLK2wTA3micZF3OCcgGMHOm2hh32M0Cx7ODpLcHdGALdBaRqUukZFWXrVohZ5+iDhHViLYQ5lHaZrArKdsgEhWbGaVog0gVYlsuaJVhjrGC/YbXwsHWHY8/Bpjrle4sixLHDcLkVyO4TDyDjsFRbbxyl6D1MkD/qIJ6RPKlSjCsuDJc735ri/e44H0VQSM9bBtSFDl2D9rhkIYL8G7ll27QBDZZG3kyCDL2D9VD5rVRKAeruLQQfWX5/HJZmE8wjVIDiv5OH6sW7z+pHn4ToS3hfa6/e/NTy090iyC/R7U6rTCwtWb3nc+EiKj31kiNOdE7xW38N5e4bE1xhCYaiTwFw1W0jNEKkeolUWX3ET/HY9wWurBdwyx6BYwTjhpQME3wkdCUGVYHX4/Ut2Z1eixlOQBHELRM5TOV9k6eWY8toaK5hEQacKtvSIZy2SmZM6nXlkcyCdeulL5g6GAKOArAFoZWaUGmZQ4x7McAAzGsCOR7CjAdSoB4x6UKMMihf2x+eENz1OXytxdnaOyl7IWLeHM5H3r73G9GKM+2+MMXswgp/3sDOqsbu1wDheoKcLxFGOOMlhsxzetgKuheJB94RLmWwpOmScXAPnqCThFS0nCOBzQvLwHPTiQ50iMn3Eqo/YDKDjPkyUwSjCvgaGiQDeEHftlASC9H7lCaS3KFQjIG+JGsW6EPwWHYRG6m8UIbGGvxaY6+u2LKt1vxEGcDChUFfntcihB9Ub5Q2Mj6Fag9orlN4JqE+Qn2D8O4F3MbQA390ukV8IqR4taLbBVCAm7IjaDl+jEoNyaAS4pxg75c67OYevia2HvFNk3EXQXZaDrDsZ+wFIpwJLgEUJ+4uSTzcbEFAWyfNrkKuAzN06BtDz6hwn3E+AOK0jjIoMo6KHfp5hUGRI6gg+80DfAT0HPVACgmdMYNBMYmCdSJsy/9znIZngam6S/zuCyA2asoErWzTCKK+FgW2NhjW0pDGw2nTLFpE1AnxjYuHONdpTg+Yk2EFw3KZ7Gr0bGv0bFsObBvHAPHq/Lkeg5h7t6hqtX7fFmOHq9a4/9IU2ky0ovz9vQ0LCoq2QuxYr57BqaXfBo7M2N+G5q+E8jSw0PBM+PI9FUMdYj7MgvX+1Z97b4DjoxoUL44UJP7TV0GIBYRBVVG8wYtNAFYOqK63hee3hJJmqUyCTf4N0yeCX/yYJx5bHKYINSR4q1LGykmTAQuUb7ovaaVRLBXOnD3s3wfBBD8PTDL1pDF1oqDIkClBRgCeR0woNcwsSoDS0H/EoydBvCNq3ODte4b/9xWc24PyHAZz/7Gc/i9///d8XSU0C4x/5yEfwx//4H8df/+t//dIH/v2IDTi/iU1sYhOb2MQmNrGJTWxiE5t4P4LSltO5w3QW6tnMY04Wdgc+E1wju350ybInAP2fNmAqEtPCsL9i2V+C9wXZdFePZOL4SiafiQ7ib36N+U4Q/nHJdXlIJUkRwWe0bZSA30WpBAznEy2C56OBxnhoggrCUAmoHXzSg81BAPQDqB+81QPIL5KmDUH99Q+v1zfwefjo75KRKAB5eABLH8yG0rCPk8X4/KtjLwrQb8lS1yJTTEsAsq4J1FIGPPid8z18UNoB/kwA6JIYrisYry0PHmEZrl97ROX4P92x+J0MgvNXKgh4eyC/uOKIcRys7Tio1MH2oP/hn084H9C7nkD9ddCeyTWMLLoO2AfQvhd960olf9B1XUxwCdRfHNHTvlvP/qNS+MPt8OD88c9PfI7XmnO82p4JyDBQCZ41u3jO7mJLZ5fvWxWFgPTT+VzO13F/hKTqY/XSDPmX3kB09wH0wmOydQOT8W2UtofGaNQ9QMU+APHRWts2iHsLwEFQj2CSAEpsU6c3AKcCGIicLpfp6d7NFfIdlJdvMb7Q2D6LYQrypAl9N7DmFDo9hR5cwAyBeDBENhjB9nrwZNYaj8LQO13D9yIUOwPM+zEudItjv8Ixhc8JtnWsedlvYQrvfp/yv2wQ3PHip01AJXgGA1WrULVA3RJ4UFK7hixHDdcatFx2Bp70wg48TKDRb1PsuAGeNVt4od/DrX6ErQzwcY5ztboE7FmfOPq+t8iKFrvHKQ6OBhgdDZBM6HKu0I5K2JRAFlnaFl5r5JSS1iUWmkkAOWaK0u8NWuvQmBbeOPREojnBKKJcc4LMOqS2RqQLJLZA3xgkJkVmCIcTwKGHthXAUnGbmlBcq9C0gYnJax6vM65mX5Bb5uvixcxkttKjZqFMt/gyO7SzwERe7s4xeKbFc88q2PEC58055p6wLAHhCGOzjaeiGziMDqBVgqle4gxn+Gp9ihfrJR4wt2HZYmuVo1/kmGYJSsNBqZG4wBQOhYzWKDC9bYyIxcQCKhG8lStpx+xcCwWsgU6RUr98HaKcsBUBw8ihH7ey/2pVgX8lSlSuRJsXcLMlMM+hZgXstEYyawXMj+cB1E+mLbR4nHfS3fytNIIe9xGPt5Bt7SLZ2obeGkBt9aHGfZTo4fyewdlrLS7Op3Cjc9jDCeytCXxCUFdhcTHC8Z0tTI+3UE7GuLUbYX+rxiCtkNgSrq3hihZOBjEl5CkzTtCepenqFj5p4ONGbFRUxKwFMtcbwLTQxsHoFlo34oceNiSYQdQamCbAJAbOk1AWVM1/bA7lEpnqhPFZk82dsCguW2GtJ7BSyMbmMYSyMlN40cXvQFAp3T2YzCThGIpXeYC2ZTyta8Kua0/zdT/h2NU1KwSuyzb62FZd8T0MVIrUUdlCC0NfWPkdO5+ALduXrH3XoqyD9HydU7HBwcYahn7fMe+vDBId2OyyveqqLWx32QehprpBiQq5KpELo7vADDmmnqVAUYXtV5JE4aA090oY00xA4KWNCWl+ZRAvI8TLGPEqQm8Zo5cnyFYR0pVFsrIwPHhd8GjWcYMyahAVlN/na2uJKqDKGpS9GlUv1KXUFQrWfS7XcPabhzzjlcXouIfxSQ/j4x4G56kA+G3kMN1fYXawxPxgjmJ/DhNXsGgQqRqRYt0gBlVGQptrLJoW6iqBgwojoY+qARFi/qkEMWcKtZ4xmObRtWWOEE5712cv+0V1qksr4VGq/WWKyWW7eRv2fYCCI2ifyMiX4uNgtuG7ImOcnxQpgfXVKNSqvux3nu1aEmj4Gi9nYT559F6Nd+cdnC41AXGuY+VXovTQULlJEkZ4nfNwtRXZ/Zas+8bKNY3XNymOyQcGXlt4xZqKFkBrHFrtURuHwtRY6qA+QKWCWqj64XpaUr2kBobTAbYmY2xNR9g9H2PvZIx0FcGWvO6Ef2tYZ2C4LoVClTf46ouv4P/wH358A85/GMD5d4o0TfEP/+E/xF/9q3/1Wwbfv148ePAAP/IjPyLtf/pP/6nI2lMakOD8pz/9aZRMI5Qs9EQyURiU1amY6syLfHbl4dE0jciCiucWU9S7YB9f4+f5PY/38/diGo11we/mb1j6MV2TFeW6MJPm8f6iKGSiYB9fW0fOtEd5YBFfehHy85tt2mzTZps227TZps02bbZps02bbdps02abNtu02abvzDZFUYw5vYznDhcXDSazFvNFeHAuvx8RVPNStsYGu9uRAG1kWP9Btom/TRZI0zjkeSlAh6UJMx8I0jexblE3tTC8h4PsUpb8g3Scgp3ASqTBG6c7JnmLVd6irBoB6NM0EtCaYLU2BBh4rBQaFyFfAbMFgky9D4+HBwMTEiSGlB936KX0A9Vvu63fzDY1RD3IQoMN4H3tsVxWUjtvBBjiwy4ul2WNOFEY9AyyjMA7AXkC9VVg4ptI/ODJ5q9qJizw4bGHUkZA3HX/OhlhPU7X+0weYwmp5q39gT1/vT/4a1+yb9CBX13WAPtErr4D9p0LfqT0/2RSwFrin/1cDcqAWvqodkCaazlmeD4RcFnbFrjL/l4vu5TP53dQ2viDMPY+iPNeVTUoK4u8MFgsHeZLj+m0wWIZwCn+BpMzCNanSYt+DxiPLbZGFv1+UGl4v7eJheCI0okkz3C8r3KasLYY8twbcW5S39Rx4rFZVh4PJiuRxJ9WCheFQ9HZOBjlkFmFLLZII42ECS1CLm0Rc3+ksfgXs98SHHG1sBLfj+M0n1a4OGqxODOYnWmRxJdz1DgMdz22DzX2blqM9xRsrC7HHreVLPJX2jO80ZwjdxW2keEj0T6ej/fEJ5n7ZLlcYrKYY7Zaypwz6PWwNRyinGnce3UG/+UHGN45RnYxw/HuDcz7Wx0Nd+0tHtqihYtO51xQ7zVdN/QL2Cne22Tmhnr9EYJ4axlngkv5yKHebzDernAYL7E3PYdZzlDmc9SLJfyqgFk4xAuPaEmckH641M7t/HEJIvN6FcVwcQIXx5gdxpjvclIIEsrEJFVLdqGHch6aYFq3lpbJA97BcA6iQzdfJyORcxX7nENlFVaJxjLVWCSBuX/nRopXnsxwPIix0gals2iowy1eyRrWa/TaGINqgEP08HSa4LlhhlujBHsZJ7sSd4tzHPslznSJE7/C+XKJ9EhhfBojap0U0yoYeljXKUydIK5TJC4TdqRsv4DlItoePIeF7RlYu2up7asge9JBKw9FzWJ/TXZbGJ9fB8LgrhYGpkNrWjSmgZN2WGabzEx+f3ywwu1nKjw5jLFEg2PPxAmqFqR4Kr6JTyRPYmSAE3+C4/YY5+ocZ6hxVCU4L1P4hRYwfrBc4iKJMVcjlM2YHGYkLVmculOS6RRdZEPIJsajjGL/9v28bl2OVrl2BbSe/QsHTAlehXfK+0bKYVt77BiAKs1bymOsXZDe77605j5RjZQKDWoCbHULtSyhFhXUsoKal8CyQDQnI9+hNwGyBf21A4OYYKKOI/hRBj9IUaCPohphsRxiEVm0txro5wqY2wv4jH7oCstpHyd3tjA5GqNcZkgii+GA94ERxkOLNGkwyoDtvsGQXg28B8g9lvMCJRMYabHC5IrCByntVUi6CEISQdKa7HpEJeKkQJqtECeU11/CREW3Pyk93kPLJJuyj6booS2ZmRLkyNfC7jJK11JH4QCFP95H0GqA8gYi2d/VlCigGkDsoCzXoQWsg7e13C7Rb52qB+K5HnMgeGnHSSRzv4kDu98xkQQahdJY1B6LqsG8bLAoK6xqJnECujIwlUFSxeiVCfpFJCVZBeluy8SplYOrKS3OkyEkPoQxtj5HusRGYSA7aO2A2KNJgTpzqNIWOUvWIO+1WPVaNHEbfMKjFq2P0OoIpYqx9AbUvmgo+d0YURpJSoMk11LSUiEtNLLSIC2N5DzJvlQ8Xh5FVqMgmJ7VyHsV8n6JvF+hZOkVKAcljHWIaVOhPZLKIl0lyJYJkmWMZBUhYXsVy3K8imHLcM3vZnC0aYum10ip+zXafot20IS6X6NKK/GLHxwP0DvuIXmYwMwD6N0OS1Q3lqgO5yhvTFFvTUV7AYrX1+6clftuD+2ojMCEm1QAb6Z1eEdw2aBkMoWhP3qLhW8xFWl7Jn9xfrhi2nP/9H2EoY4xthmGVBShKoDTyJyVvq2oJwoe7PdV867u99jmGb8oJgLWI3JwmnoKBSqXI2+WaFQJb2i1ETQkaIWwvkcWf3tJCYihPUHr0E5sxvQNadPjgQlUVEHJop70M9GAFHRK2McmQxpll/fg1++NrLVBJQAFltUMlVvB2VrOrcrn0p/Xc1lXrqckG7hwX8/tp2UArT1MG0HXEXQVQ1cWurXUYwgJAUwgMwa5BkpLVryh0j4K4zBvK0zrAidtjjNXIp95mPMI/YsM29Mh9mdjDHJanTDZxOHu/AH+j/+n91bW/lG9kk38geO5557Dn/tzfw4/9mM/dslgf/XVV/GzP/uz+Jf/8l/KSfLX/tpfkwH5V/7KX/mmv3/9ne8mvvSlLwkoz7L+B8Av/MIvSPtzn/vc5Y36dDrFr/zKr0j7z/yZP3P5+aOjI3zhC1+QG/c/8Sf+xGU/PTy//OUvY3t7Gz/xEz9x2f/iiy/ilVdewa1bt/DDP/zDj6zH/fv38fzzz+OTn/zkZf/nP/95URb4xCc+IcoC6/ilX/ol2U8/9EM/9IjKwHrd/8gf+SPY2dnZbNNmmz7028Tf+jf/5t/IP3rH4zF+8id/8kO/Td+Nx2mzTZttYnBbfv7nf17an/rUpx6xrvmwbtN343HabNNmm9bJrFwfBrdp/RD6w7xN343HabNN313btJa2n118FZOTV3Dz5i188vt+CDNh2Tv8/lfv4ZVXG8TJFvr9vjzUGgw0zk5eR1kWUNrgmWeeg9ZkR3i89vodtI3D7t4+0rQvfXxOdP/+kcAVW1s7wtZj8OHM+fm5tLmda+CN99iTyUTae3t7UhPYa5ock4tTAeuff/5pqQmCX1wc48H9NzEcZviBz3yfyGrztVde/hreeOMV3L51Az/yI+/tceJzgV/8d//68jjdOgzHabVa4ed/4VfRthk++f0/hnwV4WjucHZe4uw8SAHfurkvAPzhvkY9nuK1V38H/Z7HT332c5e/+fLLL+O3v/Dej71+1//zv/nLbzv2/of/4V+9ZewRNP2FX/i3bxl7PHa/8sW3jr179+7J2EuSFP+zP/ZTl6D966+/iVdeeQ3D4RDf9+lPhzd7j1dfe03WfXd3Dx/76MfW3XjpxRdxdn4uxIWnn376kpH4e1/+MpaLBZ588il5bc1b+eIXv4SqbvDMM89iNNoSuX0CAV/56tcEubt16wlJSOF45PsePjyW/p2d3cuxx6SQ6WT6yNiT868qMZ/NxCP5qSdvdV72WsYjx95gkOGHfvDTl/0vfvVFvPrqt2eO2Nralv07n6/wy7/ya8Ka+swP/DC0jkRF4fxihjtv3uGZhc98+pMYDFJJGjk/O8IXv/gFZO/5vBceWv/yL/8HoLrARz/6fdjbf1oSgVi+/PtvoqoiDAZbiBOyv5gIofDg/iuwusD3f/9HcOvGCIMBGbRvnfeYDHJ8MsWv/dpvwHuLH//DPxmUKirg+OQCr712B8YkePqZFzrlCmAyWWA6XQrzdbw1vlx3Asoc3wS3R8MhsixI9J+f3cVifoKnntzFJz/xvKwf55rHjxPngUGi8OoX//3lcbr1wi3kjRdW/b/+1f+IQlkMnnkezqe4yB1WZY17D08E0Nne2YG5HHsNppOJgLhP3b4hgH1iNMrVHA/vvSk+9z/46e+X/tQqPLx3B6+99BXsbY3w2c9+4+P01ZeujtMf+rFPCjt5durx67/8Et54Q+Pk3k28HvVDotCOwtH5K3D2Ap/50efw7Edu4tAM8aPRU/jvfunncLRjcPH0Cr/V3hN/+ifaAV78xS+AeNFP/dRPoWobYdO/fu8uLs4vUNcFfuK/+CxeO1vixdeXyL52huG9qbDnstGYGRn0S0DeOiyrCjqJsXuwA0MbjEjhYnaOyfQUo60+nnnuaegoqHe8/MrXcHZ+goMnbmD/+QMszQpztcIrD17F6fgCOtuGq3dxNx/gC02GyuxjlOzhaTXCE9UA2YKMvxqzYiHsXWtbpKZCZGjCu8RycUzYDT1abTc5TDVBtCQjnSxhrlvHxvUswTeXj+uNjkWSm8xAsgZrMsg9wYYYXtM7l7LFAbBWRkOnBkkEJJFHvy5w8+UZfuJ3zjDOHZYaON6O8dKTEV5+to+jrQSLKEbeWszqOe61Gr/lNMxcI50a9OoUozZBb7XCbtPgE7cP8KndJ3CjH6N+psC/evgrKK3H9/6hz2BF5j1OcNq8jJPivviNp1kK51I0LsM81zi9qGHaBHvDXUleIAu2XpQo5yV6PsZ2bwhVKygm281zlEWBKIkw3BpAc79FCtPpBYoix2hriIP9HRirEBmF+/ffQFUucfvmDdza20MkPuoKr730mnzfs0/cxs54LH7YzOJ78Wsv4tw4HPV28BuKXuAJPmIzNK+9jsxO4V9o8Hnz1XDdqhTuHgETN0Cc7CMulthdzHFqDO67Hgq/g7jIsFUkeHbSw+E0xSgnKETg7YrpW1NGnAlqlGuPdfBJtpRLJkjWQMUGUS8Sn3ZYj/lqLolcg16Gfi8LKvCKc8oJtn2FP7w3wni7J4kHS+/xpdffwEQZzLZ3MKdyQpfMsJzPMXAtPnp4iBtRir3IIi0r3PvKl9FvNX7qj3+u8xZXePiAc/kXkezH+Pif+xRO/RlO/Bnuzt/EbHqCLHcYlR6DSYOtixzx8RzJ2QP0Fwrjgj7SgHvdoPk3VOWJUG5lKJ9JMHh+ht2n7iN/ihCchicYDYvWa+ROYdYAD2oDf0aQOiTTkFXs6lqS2vrjWK41aQTE1qFYLIQeP0x2oetY0LZmBSwvKjQVsLP3PJI4hTYa09kpHh5/DVmvwdPP7sD7GTzOUJUliqKC9xm2t5+CViMoNcLdOxMcPTyROZVzHGXDi9bhxdffwHQ6w/54Dwe7B8RnedLj/t37qPMKW8Mx+mk/eJTXHlPepzVdIpQ1co6yLPOljAkm8xEgD2B1i9LlkjAjSTP0AofHjvMYN22nTmTQKo/GNqhtgypaYh61OE0d6r5Du0WFigZeN7C6wSA2yIxHLzLwZY58sYBOB0gGIxRUsWmARV6hIjuYnG0BNjWiSiNaAXaikZ4myJoIjgk9bSSJFgziq7FYL7SIHJNzmHAIGbuOSTBRjTqtUMQlqrRGuwfMezUKAv5pg7kuUcQONslEvr+i9Dgtj6gixUQUH8EvhogWAzTOY0GmsyKYSoCVoDhR7Abo59A3VnI/pWiRwISexiErDPpFjF5l0cstspzMfIP0YYysYFLDOtlMXQLQPMEudpeY3TrD7MYMF3sXqPulyNwbTXA6gP3M/fM+wqDXh1VhPnYlMDtfwtcW4+EOXG3gao1q1WC5KJHyfu9wD9tZjBtxhGo6xfm9uxj1hvj+T36qk5oHvvLGy3jj9AHszhDxEwOcuRVe9xe4e3GMeV3IWBoMBpfX4sXFFKposDvaxt5wq5N1N7jzyuuUV8GzTzyFg/HOZf8Xv/CbsE7hM5/8FPZG20h4HpY1fvuX/z2sV/jcT/4xjLOBsPrPLk7wK//hlyR55U/9yT8DrdgL3Lsf7suzNMKf+BN/7HJdXn7t5Wv3e5+47P+9F3/vXd3v2Q7k/43Pf/HavdHV9/z8v/55FIXDD/3Qj8t3MdmgRo5f+Hf/Ci5q8Nz3Pw8/9Fj5FRb1DPdP78Iqj/2tLWoBSCJb21QoKibrKEQqYo6ClIH32HMVntcK/VEfakfBPFcjzyc4mn0NubWo7Rby0x6a4xj27ntvPbQB59/D+LN/9s8Ky/5xuSkOwL/wF/4Cfu7nfk6Ae2ag/o2/8Tfwp//0n8aNGze+Y+u7iU1s4jsbksEWtCY3sYlNfMDjutDQRnRoE5v4YMfmfN3EJr7zIT6/mUIvM7hxYDC7OIFq7+OZZz6CJ5/6uAD29LE/PorQCiuQ4LsXljvBK6sr0oQwGrTY2SEbOcigX5w+lAdwLzw7xmiUSX9TV/jCF16R/h/5zI8iy8iMBeazHL/xG78vjKkf/YFblwDb8UkjD6yNDizR1SqwX88vEizLWyibBJ//rSt50eXyAHk+xOL1BKezIoD5kcLZ6SGWqx5eeXMbk2W5JsDh/slTKMpDfPmlMd58uO73OLr4qEiL/saXevjdF4vL95/OPyUPCX/x18lyyaWPwOG59ANf/ZrHaOQEiB/2HZriZRid40/+sT95+ezh3r0Gd99YQasrRux3S8iDYMred8SgXko4coHYRtjfuWL0Hj1ooP0cWTzE4d4VA/jO6yW0n2KQ7eHmwdX+efnFJXI/wdbwNm7fuOr/8u9M0foCh7vP4vbtdRoC8NJX7kn9sWefwc7O1lXCwX2C9sAf+sxPIUkyAfPPzi7w+c+/Kk98P/2J5+R4cnwfHxd4aXosPrlUFaBVwWrVYr7ig/d9LKsYX/rK7PI3l8sRav0RnM4S6V+D9osig1Nj5KXFfNFc9jOEDeyYWErlCC/AeuMGcCrD8Tmwqpahj8kOmsmmBl/8/Rpan18mu7T6aWm/+maJOA4KDgStKfMMZHj9bgkl6AQTDujP+TGsWo/f+t0pkoTWBBoXMwOnRqjbWNQg2LdmlH8rYyCJHQ73DQ6DcyOO778qQPanPvXDGIzI3HRYLDwe3Fcom2189WWDl18PbHlrHSbL7xHw89/+qkPrctlHTRNhsvxeec/6nCdY2zYWdTOQH+YqU+mD+yA2BZryLkbDDD/4g/syD3Bcvvy11/Dqa29gZ/cJPPPMDpYrLyUvE6yqm3j9Xh8nk465HytMJ0+iqce4d5QhzgjAaQHur9+y8NymnH1vrLHTnErfD994ATs7g6ux9/pX5Xh/9nt+CsomKFuPk/MpfvvkPlpl8Mz2Uygbj7JxmLZArvvIVYwv3Ftd2k3keYpl+jE8bDVWL86xnRlsZQaTmmK9V6y+dwoCpNs3FAY3zlAnF/ie741wc398KYV/980h6mIHv/dvh3jzt5pOBl8je9hHf7LEH3riI5j1gVebU/wHfweT74vQnzo8wBzPDvaxNRzhwdERTh4eIe5leOWN14VJ/+SntvHlGzW+elwANsb21pAKuwKI1csG5axCRsWB7RoRQWfKvy+DVHlbRJjcr8RPm6WejZFWKeo3MkzPuM1DZBjiiVmMw6pFMkihUi1wwCIq8aDXYpJ6/H5viZeiCmMT4Zmkh/OvvImxWuFjP/QCVhYo6Rvux5h8dQE/j/Hxz/5huKRFjhzHiyO8du81YZE+/9zznbKHxmK+wP37DwSge+Fags352TmOjo/F8uSZZ56CrxR8pXH64Bzz0yX68Qg7w334UgOVwvR0CTclS17jfCtCNJph4E7wvUdv4NO//hBbE49o7nDvwOKVZxN87ekUD3YyzOIEVRPjvI5xUsdQQ7JDFX5Tv4HBzGFMCXfdYvjRGFFh8PKDEwzVGDvqo9hrn0f28kuAKfGpz76AuT3GOQtOMWtmiJsUHzs4xNDvIPVj3Lt3iq+dv454FOPp7zkQee6Vr/HmyRKL2RJZv4fefpDwphD46VmNZVlj2i9wNpwGn2t4TPYaNI3BG+kSGZGu9T7bbmU+G9oLJERvyTVXLaY7K8S2wXMp8JGU4FslqiarwwmaZYxRvQsUT+LNyuHuaoW2mKCf55hGDkeuh7K9BVvG2F+keHIywI28B6Mt6qFGdJDjbPY6htkAzz/zAlwVmMynR2eoL3ic+tgeDIUp7SuPfKblPcZGsFEsCkBM0CiLTKTONVWCkljUHShC0F9EKLXDm2eR2AowmKCwMwVu+BZP5LvY6idwkcPclfjyUYmFBYrI4ku6wgQr1G2LIrshlg6/9jv3sA2LHU8GdouyuI2stHj5t1JE7RMY+ifxzMXzmJ5PEKURhjsjlK7EZFAjj3O0N3k9phx6gqxskeQN1GQBM18hrVpk5w303RwmL6CRw/XIMlfwCZMUlKhnN5HHKk2RZymKmCVCGVlU9Hu2CsWyhY5q6MjBRJRn9zBJjaU5EjsLPQDMvgOedgIsPqhOgVUPZtWHJ1u+vonVJMLDN7ZR8by0FVbuFKU7RdarMKuPEavXZTTVew5+2+IlP8OvLZlwkuC0SZH3Ac97SzOHbZciyKHIJn+G93gN4rhCHJ8HmwradKxWwuhNbSxS+UxIsbRaWJSIGoWejhETiG8USML3qxoRKiRthYHzyHyJ1BXQzVRsC/b3++hlgBpY5LbGpFxAZQZ7tw5k/5WmxbxaYkXwkUkr1ga/b1Hh8BjsMq21gFLn2O40RMTeg+C6JGdYUT8iAF82FC+48vqmGktEqfqWVwQHy34OSBEboOxIuPMgQN7JOzBHCX6tAsIEACqEVB4kbnd29dA+KGPIe8ly56epMGIpDG/QeCYk0a5DSTISkxyoHVK6GHkNrGoF7jVnMxSODHWDadFiyWuAjlCZFHOy1r3Bqq5kFjEDINpqaF2PXqNgigqVclj0DFrdgzsawN27jWJVwzdMEonhW7K/IRYanrc9VEZpTaibcE+zvnY/WF+/xYbiai66v771kfoAwEegjMfP/f+c2LFI0UwSuS3/DupTDcdqKfvLJ7Ff5NgZ93DjcBcmaaGSFm8cv4qFnmLn2SG2zFgSN1qxuPAokhZvqjnuNYVw4Uvf4OTpFS8H+Ir5IkxpguqEb7H6oZXcY/1b/3NQTLLhQUkdmj9cC5v/39T/30vbC7/dovojJaiZ8IvVfy/nG5OG6sMKxTBHbBb4teZ/kn7G4okF8p0caVLgl5qzS9up2XMz1DdKvJ68jjfaFju0bkAfs6SSJKaVanC/nWPhKUlf4atbucxnD81rMKuHYj2y8BVeeaJGbYBxfYJoGf6R0LYxZuW2zJfb9falgpL1Hvn5OYa1wmee+xiGDZPQADdZoX5whoGKsLu9hdY3cLqFbXLYegWVemztj6AOPVY7S/x/fv//jfc6NrL276Gs/buJv/f3/h7+1t/6W9L+u3/37+Jv/s2/+b7J2v/0T/+0ZEVvZO0327TZpg/mNrGP2WL8zMHBgbCIPuzb9N14nDbbtNmm9W9SuojBbM3r3/9h3abvxuO02abNNq1/k9fXterU+vs/zNv03XicNtu02aY14/T4+Fjez+vrev2/k9skDqw6Eb91snnyvEZRtnB8QAcbfNobrmOQlOR60NOdqslrWXSuO/usNZ3MOn+3ltfZJ++XfjLMgtR7FNnQL2tDMLfGcADsbCfymc3Y++7fJoIyig+Va9fJpVcoy1a8OOmxue6nDQDB9Uek+gXQDUkA8mj4Wj/XU5IcaI8QmZAAY7mu9M9WwoKKydyklD/VuF0Na8n+Ti639fq1NUh5GpSVwyqvpVSdvQH7WHh+cB2v2w+IGoUk4ABpYtDLgmVDkvBRLpMAPOI4ek+OkzER8kILy342b7FYcmyQXW+7ZA8FY4gSdNYXw0yA9vfa+oL9zltUle1Ae4fZvMFixX2kUNXXjx9tKJgMYMSegux7FqNLZGkYY+/F2OP7OaYI2i8KMr5rzKhm3WhMihYzjjnKRnuPLNLY6VkB7LdSg751GJCZnbz741TmHquJxfxcC2BPpj0tKzgmt/a1SOETtLe7FV5XR8IWnKsKqY7wrNnB02oLozqS78+rStj0VV0jTWIMsz7iKEJCNQSlUDqHeVliWRGQoJczkDcNioa+81fWF2REZsYiNRYx7axbiK90pmNhF5pWo8prKAOkA4tsGCPONBpb4071EA/UGY7MBY6qBos8RZUP0VSxfMez6QDP9/rYj1oU9QVOZlOUc4s4HyNejaEWPaymQLHqbAvIel8r8BMNody0YcKNuewncMh+Jo9EMfvphwsBVwJbnxYzJoCGTFprKizyc0TGY5RsYXXaomRygvfo7SiMbsTY3jOI5lM0909RvfkQ/sEFmtMJ7u55vPSMxmtPx3hzN8bURshdjIoJDBUBZPq/C/wkc47pJJ6ljzLh9IdvrfjF0znZao84KhCnOeJ0ARMvERsnXt6jZowd7OKWvYFDvYWtiJLwDinPhdi+41zOQo/1whe4qKdYupWArrUhn7JA7gss2yVKSjfr4MlOgJ/AExMC6Se+67ew1Y4wbDLERYx7RYOXUOJNOoFXBWxeYuosZq6HxiVI6wS3l0M8ORliVCWoU41sR+Ppp3t4YS8S+e6HrzWYntKOJTgs075FLFxqJkRRgll8E0I/QUkXJNPXVgyStOeu5JrXfTz84bW1rYsYO8NQTp0y1baBsw61pWR42F/cVuZsJUaJHQZVM2ILVLbFQteYmAZz63GhalyoBlPViBLD+t5EgGaulg9gbsz5UK99yel+zX5Ku9eAqeFUjkbnQfabkvo6wo4dYMcMsN2OYe/10J54uFmDdt6gnpVo5xXQltBtBc3rjuF1oILRNbRnYh0BwhaFs1ggw7JNMWsSLNoEuU5Q6BiFiaATD5u0SLZzjA5mGOzNkW3lUJbr55G3BvPWYFbGWBSRlBUTWZxCv2wxyGvso8K+LrFta4yTBoOsBSFMsZFYeqhlh0eLG0WwxQj4dNhX6/3uyIgPfgRwSsMbLgeA+ap/vRyKWGswl4Y7NeI57KkUfi3Cl4uHuVeSWEFVDZFioKIGJbx5zjVGLCY0PbpbC9515pZ2DR5pTXayxTL1WKQtZnGDqa2xJH1YUwBcYcdG2NEWI86LKpJr10nlcFY4uSbwPN/LLA77EQ56Bvs9Jh6ERD3O+2uZdo7foqqFDe+cRV0p1IVDuSjkuDeLGtXcY34OLOYKy1xjUWosqqBKxD1rnMPA5xipJSLTwKQOJvZQCaBSBebXmtRDxx425mucGwL5TWbWLn9Arn+0jaKaQ21RNhGKrl3UFnVLxS4t76FCSUvliW6Z5yuTFsQWQV5nMqISYR8fu8vCZBgmXnkpDm3Sok0a6aeFB+1R5DQXgJ/M+i7bRhLKNFTNBIAgAb+Wgucy36+k1qFmQkDwcwjqHOEWK9iA6KAqoIyD4r5IW5jEQcdM8uE8QVCf+8nBRpLTBht5sQ4w1iNKaEVDKwYqlbTwuoVLaqh+K2oNtWpQuAalq8FUh4b3m2FFLmXm5VTo7kXoLE83e9qnxMoi1RxTFpHSco2lpclcF1ioEksUkozUyL7ijtIwlND3GtpzjGkMfIpt3cfIpCL5P1Qx4gYYIMZW3MeY/TpB5q1I/rfeIY89Zqhw4XKcNkucNUtMfIG5bjChpD94380xyvsRhW2TYQtUjYnRL6nAYDCsrMz32VIB0wq//mu/jv/i7/znG8/5DzM4zwcPZMtzt1OmaS2t9V4Fwfu19P3P/MzPYH8/pBUTnP+BH/iB9/S3NrGJTWxiE5vYxCY2sYlNbGITm9jEJjbx7Q2C8AQ4CYoH0N6haujNGljeBNfJpmeboHvwPv7WmOvfavBhftWB9VLK9qrdFSYbrIOgYj8zGPYtBn2LYZ8ANZNWvr3r/e0MJjAs6a+8DGz7FdsdiM/2+oktj+PWWGFrpLE1ZqEyyaNJGO/l2JqVToD6Sd52tRPQfr0+BO23Mi2A/Rq4Zx2/i2NFm4j5BS7Z9ZMTj2IZvjgbKGztA/agxmT7AneGxyhUhaFK8ZzdxXNmVx7Mz5dLAennqw4x64KJTATrqaxBsOiyTSapJuvSo2gbrDrAPm8b5KybBtVaTqCDwhJjsJ0kuNHLcJBliLvEiOuxRI77OMV9f4LXpwtRYFmsMuRNAtUYpEWM7VmK8TxCb6mgewXssMZ422BnnAWGpQtqKY7e9ARfO+CWAG4AakP7+rLUXG4DeHv5GpfXNYEcgnkR0N/2SAcOMcGbysMtCS8qpAOD0WGE8WGEwT7F4D382Rz+/jncvTO4+2e4mJ3iXq/Aa08ovP6kxv3dGEudoCFUSF9lAleeYJYSmWq2CW6xEMj3HajFwgSkoI7dQZtdMsIlsZTgvjcCQCaGySFMBmkxiFsM4xr9pEQvzqFMAaOplhKSPAK0QantCLGziD1liy0iZ6S2rZY2a9topA1hI4V7yuMVC7yuCCbmcCsyqRVmLhPP6EEZ4YnlCDeprqBSqLHBzZsxnj9M8PTQIj8Djt/0UvJF8CRP98pgpUAJbsPkCiZSsM0+iEy/+NF3y6Ed6sfb62K7mttZ5QqrC43FBTC/8FIvp1dzRdwH9NCjzRyKzGEetzhHi/MqAKwM4os8Z3dTjV3WPIcTLUAd/cAbT1DRo/YOlfcomAzUlXW76trXX2NZugq5D3L9hPFYB093Ypr0qw7/t12LQDKBRxnjZLKybtal2ygZKvRI53500OKXTjAyZC2oQsMtDdwihplZqHkMtTRITYPBaIXh1grD7SXGuwtkPTJ/vYyFeEH/9hTjNsZQpxjQG7tvYVIt4Dm9uRuB8HI4SnNItgyzIgSFlB1JZndbM6lLo601mlKJvH5TsnjmHlybVcLH6D9vqXhPMDQNoCjPFUqit7VFWxlUlUFeKyxaYNFyTALzFphrYGE98rhFHrVYxS1aUtM7L3n+DM/kvjdSKFTOvXisKkw0vcQhLP6dPMKuFIudMsKooYWGEtCVEvrE/jkWo1gh7WlReGGJYh3WPw52IYY2DVTiKR3q0qMhkF96AePzpcdsoTCZK0wXCrOlwoxAfKHQClWeSlnAMPYYZQo7I2B3V+PwlsLBkwqDbYN4ALhFjubuBM3RFO3xBDidARcz6OkcvmlDIotSqLIeqtEA9aiPZpShGiRo+jFcIp4iUpRiYQJJA61qGNtCm1AC0h2O0To5RZbV1XK45HIeI0Iv6RKiyiOJEjy/GoiKCwttDpi0WCstiRIrHcpSaiA3SjzQWQomzhiP1nrULIZWGOFYkE1O3F6StDqg3tcKrrBoc4umtGgL1kaAfkVD9VrDslQGUWVgS4OoNrCNQeQNrNPgX0gcYGJoSE6UOUrz3qJLAFBKhjvtepjvx5KmoW1TJ0WnDUBGf9bAMSkhqeDSGk1aoVQNcl+LMgrroqs5v/BaPlARBjpGqoz8DlnrrWo74foSC1UQsr88f8bIMEYPfaTIfIoUCSIfQzmDnIA8v9816OsI+ybFnkmxr1NknHgfC64LQfpzV2Dic1y4QoB86fOF1FzPdTRFhX//P/4bfOk//6834PyHGZxnkCF7cnKC7/3e7xVPhvcyNuD8JjaxiU1sYhOb2MQmNrGJTWxiE5vYxCY+6EEwcg3UL1eB4T5fNtJeM7F6l4C9wXBgMfguB+yv75u88FgsPaYzj8nU4WLqpG+tRLA1+vYA9ox2DdrnLS464J4ywuxbP7/uxWvAPtSUyd/tmW+4TgTn10C9sOvPAthoLGB3a+S7c5zvnKHZXWE36+F5s4tn7Y6wr6umRl03wqYPbSo5hFKLIsXVY29rzKOgPZnaXZuqBNQcIFBPwJ4A/mlR4KIsBRbYTVMcphlGTYZ2abCYeCwnARhlIdjUEJC0FarxAqe7U0yHFVYx2bMGvSjCs0mGw0gh03M4v3jLfgjOxmtv50eWpF73XS53KhnX3yO+zVCocyCfaOQXFsVFhGoSoVkEJjoZ7zZtRLLaUjlAO0Rpi2i/QbzXIj7gsoYVwMTALhvERwvYh3O0J1NcVDMsNZnXNeY9j/kAl6US72mF1ga8imRWehqTQWm9hVUJ0wKoCy7+zbnWwmScqxZL5UXGvqJSCJm/jUXTks0aAMYO2RdwmYx8qx1S7dHXwEB7DA0wMApjrdHTRgAfKdpKnelItuk11PiqW+K8WIrH/aL0mLtEPL+3S4XbyzF28n1ESYydgxjPHEZ4YSvGdqRxdh84etPh4R2q6jRAVsE8eQ7/5BHM4RxeFDm+fqzB6uvB5IaqNahbjbI10q6o4LBuyz4hELg+3h1cxf/x68ispXf7uqbec5egIW+LWyhLo+WW6Cy8beF0YLwGNn7IlWBSgqsTuCqTA2gIzkEjEolz1lpY1rHWiLTqmPQKkaEMOI9LsAOhZUNglLfI9QJLM0EbreDtCs6sUOqlgI2cGqid0kcfQzXAQPUxwhAD9NFrh2gXFqsFkM8dVkuPfOVQrhDqip7tHq3xgpOSkUsbBv5unCpEFA/hWOR+bBRysrfLFbxfQNscWX+F/tYK/VEOCrBwvvEuBfwA1g6QJn30h6xTSc4ZGoMBi7WyX95NEDiuFkAx8yhmQDnt6pmXwna1IPOZYGcA7aO0ayesr/rXbXk9uepv4hYLtJjVLY5mDU4nLU5nDpOZx3RK4FxhO7XYTSy2YisS7ZOFw2TeSmKYLwFbA0MqCbQKaatAbRhrmPAXmNlR5pHIunlhXpuIiRIcyUFNarbUmC4Nph0QP10qLKurczahBcqQalAK+/sKhzcVbj6psHtTIdsOQP/b7j9Rc3jn1zBZwp1M0TygCsgE7dEU/mQGfz4XaX0mgzllUPf6aPpDNMMhWnq3746gD8egnISnTn5RwpcVUJVSfFNDN6UoOlDPXvsGytWiFkHFHSo6UIyfYL8kGHG8E/+Vk0Aw+1DrDsO/Vl93jLmcCYLokUj8y2KnqNAaJokotEKcZ/JEYO83WqOm+pY2qI1Bow0qa1AYi9IalEqjUAq5D2XpNHLK/EOh8kyk0mig4MReQAlYb8Rmoatdx9ZvAuBvqgimsgL8s2jOLxXnGQ3HpABPED+A+msZfLbTmOpMQQWox1oszxTimL/NhB6P0rWS7FPL3B+SfCQxaJ3004H6lWe6D1VwRI8ggPaiLNJdF5yFaZmAYEGXLzVwiEYOZtRgNFI4HFvcHCY4sKkA9wTtxzr+uuOL8vkE7C98gVdO7uK//Fv/Ozz4x7+4Aec/7OA8AfPT09MNOL+JTWxiE5vYxCY2sYlNbGITm9jEJjaxiU08BkwToCdQHwD7FotVE6Rh14B9j/LvZNgTsDedVP93f5Slx4TAyzSAL5NrgD3l+scjhe2xxpiA/ej9BewZDUH7osVF3rHtO+B+UYUH5+PM4PsOUzy7EwkL791E2wSA/jq7vizo416jHhVY7cyA/QI72xFGmuw7lhgDlaKnyBtdewFTxrxB1dZoXIOGNQF8V4d2Wz8ClNKCwRLANZHUvo5QLCzOzxUm5wr5LMh8E6Qkk3Br22J7R2OwpTEYA/0thbQfQHTCB3RcJ6v+leYCd1Yl5pTALzNheG/ZGJk2iBULAU6LRJsAfgoQqgQQNZegaOgj+Ll+/XpZvzfS4fNC/ry2v7kvyqrB5Mxheu4wPwuy0kwwaGlLQXVy1cLQYzppEG/VyJ4oYA9LuFHn/O6v8wiBRMUYNQmGpUV/pZEWQJXnmFULzNslpm6FGQpMTY6prTBLGywzoBVd7hBxDQwKjWFlMKgtBrVBTKBHW2hloDT9oDUmyuJUWZwpgwulMVMGCwJQWqPSSoAq2d6O6UpJd8r607aCFhYE8yPK/pMJnhdY0crBWxgP7OceB/kIo/YWhqMUTx/G+Mh2jGdGkXjD371T4v6bpQDz9Gz34wWiJy8QPTnB1q5BpFMsVYMztRCJ5st9zrnMe0kwaBoC7wF8l2Vpsz8sC0h2+SmyVz2saUXqfV0bE4DAkKjQJWd04CcBtktRAukHPBm0y+SyqFUM5KRpd5+hLnS/kgQD9Cr4rIRPyHVXnfIBPbdjOBZHmfOQHMCdLFoF/I1rntsCyPm19Pbal5zfw/d0yhDSTa182h3UsFENZWt4Ta/nRuwHOMrI6F2nq1zx7B9tyWutgq7pA64EXNexgrYhs0ug4yvyfVjuFmhvUK4a5BOPcupg6xqJb5DZEr0kx2CwQpQEyXYmhxRVipay5whFcXxqi8iGZJ8sjtCj1UaaYJDEGJgEkbFv2UehHdZj/RoB5MDMXifmvP2cyCQFlmVXr9vLOUARES5fD5L8+wOIBPy8oI2Jw6oKovxMd8kiINYeqfVIKXFOSXTNRIHOGF4uuJ2vgiyTXR68FwhGc4wa04ragqhDWCcWLP2+Q3/g0R95DMceg7EXUP/qj0khoQjQynYHuoa+sCzvYSKaTpHoPhLTR2qHiHWGSGeXtVFvZUV7nqfniwDUn5BxHwB8dzyFv1heqpSEHX6V6BJY8gFYFlp/EkOReZ/GUGkElV3VuhdBsT/r6jQGErYjeb9MOGT1t5RHIeu95WCCY03GP5PHmlqWHTMcaIMjrzfyfnmNkvEt732ofNGKtUfr2mChRbusugrWAkwOIJm/SwrwsYFjYlik4S2VIEJprUFtmTylBfB3HTu/hEbBpC6C99AC3nOkyJHnuSvnUlA/4SYRDw+2DmF0tJ10v6cFGFVSWDOZSKT5TVB5aYI6BBOJaBUmc6Hv5kTH3wy2AjzPnHw2gqLaCRMHWhYF3SUPGPbx94wLiUa0b+DclVSokhq8/WhXEdw8EXUOqgTIvGU9/LCGHjawwwbJuJX7pf2xxeE4whPjCE+OUuxHqVyL3wlzfS/B+beO3k28r0FZ+7OzM2nTU+/9jLX/1CY2sYkPZtAPb21t8bnPfe4RT7hNbGITH6zYnK+b2MSHJzbn6yY28eGJzfm6iU18OOLbfa5SVpUseZZ18GH6Kl8D9qE+ucgDsEFJ9FQHZr1I4gemPSX9388QkGUNTJEu+m2IJFE43DdS1lGUZNcHZj2Zknfut3jp1eYSsF8z69csewIo7xVgT7CYvvQ7vUf7KaF9umrw5aMSv/r6El96oPF9N1I8vxN/w31lyLI8ZLnaz/mcUvgGk5MEZ0cDnL1eY+lbTAkbC4jD7V0IYGeE3auF8UtgW8A8FUHjsZUkvGDIKG4EIGRNCqksRwvpo7SzHQE3dnTwQI80qshjolpMCQxHEVS/h2GvhzRJLvcrf/sm9nBT7eEHI6AcV3g4PsOb7hQv5ec4LT0KATrWgEeQovedtDsl3gXYvKwD4EmQYc2p12+pQ4uAzuz0FGnT4JPPPIP9XoZtG2E7stg6tLhxyzwC+hGgZzLE7NxjeuIwOfKY3nM4f40AsUfa89g6UDh80mDvOY1k1GLRrDBvF1iYJc7MFK4XpPL7JsPA3sC27eNJ20em08t9Iv6+eYnZ4hwPi4c4Lc9x7iaYZiusshrnphJ559pcUwcQSfMOtOzU8IcABh2yuQY7OQ1U3qLwESpnUCIw72v6S3t61Fs4AWjo261xULR4YZUii57Gk3t9vPBcjI9sxRgkNY5mc9y7M8FLbyosjq3AifZggf6nctx6CjgYDwC1izMkuKOOMMURVBshWd1AVAxQtsCq9cgbj4pI1vWxrRR6BsiMQkKAOvWItZMS6RZWtVITnBR5eYL7AuaK83uANun3TOlx/skO6tDFrnS4Np2hgb0GTi0u38v95KcJ3EUCf9GDYrm/E0B7fsw6JNs1ku0CdnuJZucU1WgSfMDbGLbNYJoeEj9CBB7bGJoqCOB+Cvu4dkykuZK65z5gzV0hh41S8J2vd90kqHKgoDS6eGqLaDhsRJC8RJoWiJIFbLKCl3OyQCSJFg59lWGsRhixYBRk8t/hj+dX1RAQhLDoqcxQDhKUO0BZA4uywrwosSwjnNd93FsZuAtaJLTITIFY17C6FjuFSHN0LWFUg4ipDK0XpYopy/pAE/R0IQmjcRYti1hAcB9Z8XP39HVXVsD++WQBkrJ7Ue9SEh20fWm9tJVzQdLfdJL+kYNNWtiRwzB22IqC7zr9w03kxDfcdEA792dCAJ4Ys6FlB5UPuiyA64kC14qcW10J+DLHYYcx89i1QN0o1ARMDRAnQErfctowXBLHORd7VDw3adNCQDxkakjSilgSXA5cGX0y93GuVp1qB/sqt8JKTbFQ56LEAG6T0pJMxeQdS/9x00eie4hNhkh14P12imh3D9HHb8t1gGoAMg9VDfwZQftZ2CCC7UkHqK/Bddb2rVYm7zbWVhtcz8fjvb4rkd8qKvjpCn66hJssUZwtUJ4tUZ8t0HJsLVdQZQXHy0mnNNHGBnWWoM0o/W/QJhZVZlH2NOqU/gucDxRFToKVQRTsDJgLIZcj58XSgGND2rwO8zzv2nKMQypGGGdMIOjsTKjGwDOB8Yg6jLSvGhwhjSLLn4XWC1qUECS9JPiGyBhQxkAbC83aUqHFonYlFrjAg2qFh2WJahbDXaSI7o+gLvpoH/ZRlRb3ncIdnq/GSbKCMiuY/hz9scd4TLsFg4OxQeI8dm7+AM4f/Bbey9iA89/m+Ef/6B9dSip99rOf/U6vziY2sYlNbGITm9jEJjaxiU1sYhOb2MQmNvGBDgK6BN5Z1sHnawGwv5LEP7vIxcObkab0ybXoEw3rAP412BAeJneAoeAF6+Vr77t8/+PL4fPXtUiFtCuerSrYElPe+e2WL71dv8GyfvRzweI49D0OrBMUSd8GsA/serLsPd682+Kl8q2A/e62xt6Ofs+tAgjS3BhGUs5WDX7nYYFfe2OFLz0o8MkbKV7YjWXb3k1we3sjoDdSuPUR9hg0VYTV/Bp4jxoLX2IuD+RXUi99iSnIfg0HipzbgU6C162Ou5rLGawavOV3CZyS0VtUJYqyQsm6CnVGQK52qIoljmdT3ONxshZbWR+HwwFuDgYio7+OBDGexk08rW/ij/SBsl+Jry5drUNdiz83l+vH+sNrNSrfiLxv6QncBiYjJap1S/1jDd3qwCCuNXrDCk0d4bQK4EThtMgic6BmWmM7irAV2QDaZxZbz0T4yAsWsY5CIswMmJ46nN5xuHjQ4uGbHndedsC/c4hTIBv2kA0H6HEcDTx8XKONCtRRjmO7xL3oHIrgYaQxtP2uDDBI+9ju3cI2HiWslTxWfgL+Lf0ShS9Q+gIFSlEhuM58JggbIUGi6DdsEbX0mA8+85rszInG8pTqCzXKZYPatSitwyR2OI2AwfYtfPTmFp7bVtge5FioMxyfrvDrv6exutNDO00F6BnerPH8f1bh9pMpdrInkKsKr+MBvog3MMUC2kWIlzeA5dM4o++59yJ939MK20xqiDxigu2qA97pv+7F/OAt0vaiis1tUREinyLSESJlYU3XR5a2iq6sBpQRcJLlm47dULgO3Lfkque5w9lFiTtnC5xQXeF+Crw0RoQnEVuD3nYDu7NEtXOCZucc9fAUiU8R0w6gsYjbRI4Lz+ihTZDqBJlJuzpDahJZ5ysZ70f3AJeq1mNaBauMGevKhfYitPk6dA1EK+hkiXlW4DzJoeNjOPs6KvGID6Ag3yoM3/W8/nb7wYq7Akyvm1spsS+e7UyDaANT3LeS8mK8Rdr0kLV9ZK6HfjtAzw8R1xmaIkLDRAyqozcOq7pF1TjUbYPWNx0jnB7ntJKoYMwKUdwgihoB22X7k7CGRmsBu+kfz2NrjJa5NLIh2SyJNdLIyNwiyTjCGr8UEhcwmEYEnWO4LMfaIDHmcjm8N7S5b5atw7JpsWwaLJzDom6xaFvMG49F61HK/gxKBPyPqRg91SJlicL+zSuFotSScFRSPWFtwSEqHpxzmJSi0NMafWOkDCKLoY3EJmBgY4yiGJGJ3jKmOb83bYWqzlE3OUrOZ80cRbtA1eao6Wuu5nBqCk9VDto1UGGiM49nYotDLKX2CWom8KgYxR63hAlcBWwHGJvGwywdzMqFZb6DKgHdt9AShDzyNa+cCgJSX1cY6IpoTPAYKtog8Ny9qrW0wzJTycy1vlBHod299nYg/+XcwXk9S6CyBP5wS+T2U98i5tjDegw2aOsK7WoZSp7DFAV0maOuSjR1ATSVqEfQ4sERgF8nQFEwYdUlR3Uha0O1FiqUyD3LWrq/U8cQtfx1AhGZ9iE5aG1PInuRwgKRho4NlI0vizGJnG/GGWhnoDqavqgIyP2aLMBTPcDXoU01h7qFEsUeh5pJAlQSB0B+u9UWbsegOVAoP3kPC1MhVxCVAJsPEJ1uA3e2UdzZwtkqwrRRWJw7XJx7PHQOX6SFRpPhj/4v/nv87P/9GbyXsZG1f49k7fn+i4sLfOYzn3nH9/zcz/0c/vyf//OoqgppmuLll1/G7du339P1vi6x8C/+xb/AjRs3pL2Rtd/EJj54QTma6TTkVY7HY/E428QmNvHBjM35uolNfHhic75uYhMfnticr5vYxIcjPkznqgC1hXtEEj/P+XQ5eFUH0CM80F4D3WE5gOKP1GsP1fVnLj979Z41UM6EAD40JouMYP9blqWmN/ljy66TNf4mQl1bl/W6XV93bpes+zVAnzV90YvKoyi4j6iIQL9gsh0NDvYtbh0a3DgwAt6/H0G5e4L0r11UyKzGJw4TfGwvEfDp/Qqy6ucEfl2Bmc8xcwSB2Sb4G2SrGT1KtKsUI51KPdYp9nQfKdG7txlj9LMnaF+WFfKywKwosChylE0jx5YHI4ljjNIUO/0++mmKNE6k7+1UC4IEvwuyxW2LxrVXMsZcvl67VoA/Af8ITFyKRYc2/1+5CrWi5HTwghBFAU/JfyKSgb1LGeMVZd65n1QA7yMCZ3EkQNkojrEdJ9iJI4yNQX4OHL3a4Pxui9WMiQkc5wFoCegMExRCIZJD0FeYrnENF1dQcQ2dtOIH3u9FGPZiDHsJxv0MaaaFfWuit8rxE8wuUQpQT8CebYL57ClYzx2qYwN1kkGd9YLmctJSrx7RfoNk3yFNY6RIZR/kaolJO8HkoUZ9Z4z6zjZ0ngnwufckcPupBLdvp+KDPcFcAPk38OASkCdDfrUc4HgFNL7FlvU4iCpsRwVIOF0HQTgC7GugfQ2wX6/5HiZEsH4/7Se+2ShQ4c3yFG+cTXF8VqI5i6HPBkjmA0QEDKkosbNCu3MBtzOB3lmiP9YY+AFilyFqIkmKyNsieEO/B8HTijYajVvXgc3ddPOoEMFdBuUzGATZ856NRLadyuRkj8dsm1BTdZwg7tV589a/hskw9QKLdo4Z5pirBRZ6QcjzUpc+cwl6TYJMSoxem8oyE0fWFhvrIHBeeIN5lWBWRJgXGquKahENFNUn+pQb1wJwlx15fv0Va4Yxg8Msoeq6Uki1Qsyaw14TjO/aZIsbstE95k2DeRtAd4LxCybgUNGgS1BbR6IIvDtkyqOvgL5R6GuNoTEYWiNAekIAXVuxnhD7icdqguIr57CS31r/5tuXx4QlkF4D71lSQyWGoLxQdT7k1WPLl4zta1L5ytewqkZmKmSqQWZapKZFohvEtIpQjahYiP2BJIpcKQgI1C5S7sGTvX2sfVmkrwOaKQMvw4GvrW0fmJjgYDSBfgfDdmcdYrksdRte6xIArjQEutLp7YdxRMSbYyokYPCaTt0FSR6Q0l4mBYR4+/sKfpbfF34tpBXQ4z7YcDgoSn8UQWKfViYE9rmfee1xlQYqBVMa8aA3lUFUG/Cng9KJgzdtUKQRpYeg4CD7gL/sFHMnJBlJrAdaftAFoF6SArzUbarQJhouUfC8H6EKEhNMWCxrsuQ53pikEjQzRE2hU8/gwWibBlXTomloadPK9vAmSDsP67zokFgqUnSqIrIHeCnjMZVkCCrYRCKxT6UPKqGcrwr8zz/7v9rI2r8f8au/+qsClq+DnvDrYP/j4Pxf+kt/6S3g/B/9o38UP/ZjP4Y/9af+FD796U/j4OBATvBXX30V//Jf/ksp6wnv7//9v/+eA/OPxwf5H0ub2MQmwjm6s7PznV6NTWxiE+8iNufrJjbx4YnN+bqJTXx4YnO+bmITH474MJ2rwrLOjJTDvbWQ7Qc71uz962D+uk0wf83aD4Sxa8t833Xm/zssN0Iuc5efsxFBF48s88KwL6sKD0887j4IzMvRwOJgL8JTtyJsjc17BhpuZQY/8Wwfn76Z4nePCvzmvRy/+7DA9x6m+Pg+PZrfe3CSEvdbKsOWphXD9iOvlb7BTED7UAjgn7gFXnGnwihmbOsebukxbpkRDvVQvo/7gz7TLOg/zvBscbFc4mgxx2SV4+GSzPqZgGex0YiNQRYn8lkek0vQ3RHse+v6BxUFI+eg1pRx1jBRDJukyJQWUIXZGeR1kq3ohA1LMEQL0EXAZqkWmPs5pm6BWTuBa52w7bM2wc02FSCVvsBchbqu0OQrYeafe49TjiMmdjDJwxhEWxbpnkESJ9gyMZIqgl1aqAmQnzvUpYej1HViYDMDE0fQUSJAUFG2WOU1VrMWJ7nD/VL40sHlWBimZAcbJImG5XZ2ahLKaGidSQkEUsqIs7SoVvRkpny3RzRQiEcedkR98AatqdFMaxSLCnOyqnWBxi+ABzto7j8BXcfYGhrcfDbC4dNapPv5/QTkfxdfw+u4j6lfQjkDs9xFvtjHaU6f5BZDs8TtpMHtWGEv7mFgt9A3PWGLr8H2b4nVLgofgXVNUKm+VrgcpKKvAarXGOjXQdZ127/je677sV9Ry0PSEseNEsuKj6ghXtgdId8vMVMTXLT3sFy1cIsEWAxgLwYw93aELLzULRbDFfx4CT2eYLilsTvuYWRGyNAT5QqZS4RVLb927f9vv7wGJx/tX4tgX7UJpC+aJebNArNmgcLN5LWEChl2cFlou/BNHRf+zGOXEVFswQozzDDt/maeSzOcYNJ53XvEPsLQDzDwfQyEbd9D32UYtyluyHzeiHe4+IfLMeCPBb/19e9wzq84VznKwxOwDzLxBNVFLp59TWjP5b2qez34hV/fRwTx+1SgMQa3qWhBdQgbysiGhJzYRpeg+zuxtWW9OsUF1pL40/2trxUjrTEiBfsbJdI59xbAfg3mz9oGJ7VDLOx/2kCEdU6YjKB1SES49tq6zdc432qqVDQF6rpA1eTCvBf2fRESRsTXXvKI1jYa1wXWHx8GnSrBpZx+RxXnfEs/d86/nCcFjg9t1mJQwWQ8Gq+IAkFQdQh2FWu7ACZIdTYW4ROyd1kIXHuhrgfgnctdqoAc34YJA1SS6RIEmi5ZQCTkOxUBpVp4WmVQdYLFFmLPYMSmIYD71y/xFJHh9jK5hGNYVEm6tixT4UPaFqaNkJcJimWCfJohn0eoVxo+1zClRhSGckiciT1U5hD1WkQD7nuuD7nrDeK6QFJWyOoWvaVDdFxBk9mfl1CrHDqvgHwJr1q01qO1Di0B/VShHmrUQ4O2b+EHMVSP9gQWPjGQDJzIwPQimCiDi2h9onHWKCxrqkYAq4rXEIfIO0SuCYoQqkbEpA5UYoYzcBr92iE/u4/3OjbM+Wtg+0//9E+/6/c/vtt+8Rd/UcD5bxS9Xg//4B/8A/yVv/JX8H7Edeb8z/zMz2B/f1/aG+b8JjaxiU1sYhOb2MQmNrGJTWxiE5vYxCY2sYl1EKxf5sEWYDJtcHLWYDonWzQAdtYqjAYG+zsR9nYthn0riQ/fyDf+3cSibPG7RyVePisFCPz4QSIgfUKW3Hcw+Mx36SscuTnutzPcd1MUvhZOHgH6WyaA9QT9v1HiQtE0OMpzPFgscbFaCnOvL9LyAewJVvL00VVC+BY2JpnsBF5EoLjz9H0X600mKK0CmEDQEOBldsa117DS3WcAAHOuSURBVDJrkZF1GFeo4hVWdoG5nQsTmEFG9J4bY7cdY7sdYtj00DYKs6rGoq6wqhvkTY2qaQCW7vu5DZU28Jbs2UjY5aa0MEsLMweyRqPXaoxGMXrbpisWJvOY5yUmyxzTZYHFskRetHC1DsCx0yL1rkmlXEVwCwO3NGiLAKbRBzlOQxKAjTXVjENCCvMcugQXqdvQv36UP9pROHiKRWPAfA0VAPlX/X284u9g6hfwtApYbmO56GNaJnJMtq3Cs1mEj/Z6uJEMBeiN9dsrIbzTuFqD7AK4U/3g+nJXmKxxPXiuiby97N9wbjwCWne/H7quoMXL/mvrd/Xezqf+sfbaO1qsPISNHHzCQ3JQaNeuwcoXyB0VDCrZx7q2sHUMXUfwjUJL33RhpDoo2wL0RLfEyTTiyCKLmIwTtieof+jLpIDQ93i7e9/19voz175jHZWrBahfl0WzEjiTrNqB7WN0Cdj3RdngvQoyjQNM/1bgnkYW6xhggDHGGKkR+Edg+w8a12cJUeIgWE9gmIkCNkiwt+/0R4Z0B7hf/3unvneK60D99b/AaX7sjxYN7+IvRkwTC6nXf9cTAb7p/cQx3JQC1Isc+nXQvQPexTKAyVCX1hFBqn+9b2lOUXy9v07hI4DtV6oM6/13/e9bjWCxw4ysiFRzeBfDt5HUrbNwbYTWGTQsrUHteF24NEC4tEIgjz4zBj1t0DMWfW1DbfS1fo2etENSxP+/vfuAk60u7z/+nDJ16+0dkK6AKGIXwaj494WF2I1RNNij0cSKJqKJf+tfxRhLrERMRDH2FoIBLGAhoomgiEi73N62TD3t/3qeM2d2tt69l22z9/MmJ+fM2dnZszPz213v9/c8P2eG597ee7pURhTI7kpd9u5vyvBQILWRSMKKrqMg4jY8SSJPktizDgPpZKFsQlEikZtIaJuu2JJIunJLIk4SSa7ZkFzQlEJQk3xYlUJUlUJQkUKzKvlGTQo1DfpD8ZJ0qQLrLGSXmz5+lHMkLDkSlNJ9s+TIaI8vu3tLsqunJHsLJdmXL8o+ryB135VQPzkXiZtvSBgPydePf96cVs4Tzs9ROD8yMiLf/OY35frrr5cbbrhBtm/fbtX3+gt2xYoVcsopp8hjH/tYefGLX2wV9fOlM5y//PLLZd26dXZMOA8sPTobttFo2HGhUGj/kQ1g6WG8At2D8Qp0D8Yr0B0Yq0cWC6erkdy9LZQduwM5MJwGhq6bSD6v7dpFBvt96e3xpbfs2b6nrO3wD+99oZVrv9lZl9/v0QpqkZPWFOSUtQUpHubjzcfzcSCpWVB/TzQku+IRi1hKTk42tKrqdSs5+RkfRwPzXbWa7KhWZV8j/V59R6vE00BdA/T2sQayGra3P9553HHO1TWT0+MsMMnGq62763lSj2OphaFUW1stjGyfhffael7Xio+LNWnmK1LLjVrVuYajfVKWdc5KWe+skLXOSlkp/RZcWdVrEMi+Wk2G6zUZbaQt/rXy3lrxW4CVSMPxpO7oWtSuNDWICXxx656UQk96Es/Wu1/Vn5fV/TlZs6ogXiGRalSXynBTRnaFUtkdSX2vVuMnkuQiSVbWRVY2xFnZFKeQtnD2nZxVSGvFuoblUx1rEGjtqzVI9hwJ4kC2RbvlNtkqd8tOGXGqFsh7lZXSqAxIpan1kp6syefkpHKPnNY3KKvyxWnfH/o9dwbsFrpb+B503B7fHUFfL+0U4Ps5C951y0L49m1fq5hnDsMWk4aLu5J9sjXZLdviXdZpwI0dWdlcIQP710j5QL80h1wZHg6kXgslcsI0sHdj8fOJ6FOqnRKKhXQ5DS+XiOvr1lpfujUx4KDxlS67nS9IT7ksPaWS9JTK9vy1rzPRCu1qWlkfpIF9s7WsRckttivr+3O9dnuun2+9fg1rs8B+KEk37WgxmlQkivV5SSdijOttPkdmG5hbBwvdJ2N7J3Hbe5vIod2/dV35dGaRXWc2EcOC6HH72PYWTOsyG51xf2uygP78mWoSgP43Hb32LLTPSS4N752x8H5imN95W+8/eemMg4ft+l9rMY0pr00fW5fO0K9le6cgvui68eP/s4kFrUkMh/qxibf18Q/lvao/l+33QRRJNYqlpktPtG7XWrf1vC1JoJNwdOmUjoVTWs3/Je8lknNjybmR+J7uQ3HdUHwvEMcNJOdFrY9rW/+xsavvoJzkbTKITk6SwJV8UJZyMCDFZq8Ugl7xmyVJAk/CZiJBM5CgEUnQDCVsxhIHscRhYpv+vLYg396GOrnNSbvHWPt/nQcXS1O/RhyIEwXiSyh9biR9bih9TmuLQymHoTj1piS1uiS1psTVukgQ2ne7r+jL9t687OgtyN1lT/4315BPveDPCOcxu3D+sssua79RCOeBpadWq8mVV15px+eee66UStpmDcBSxHgFugfjFegejFegOzBWj2waju3dF8s9OyLZtjOw9uSuq+t4x+J5ifheWsmbz7vS2+NJb3kstC8VZx8s1oJYbtrZkFv2NKwq8KQ1eTllXVHKSySk71zHvrOqfn9ctfODblk2tcL6tW6fBe9LebxqOJ+G9Z3BfSiVMJDhuCqj/qjUc6NSy1WkmaumrePFk/6kT1a5/bLO75MVbp8F+Lpp/KWhiIbQjWZDqo2GjNbrMlKvS73ZkEDb92sQFuua5o6MxI6MJo7UIleqiSuBuFJKPCnFruSajhRjV/rLvqzsz8uqFTlZ0Z+zdah1re0oCSxcbcZNq5Ju2D491n2QhOO+V53Q4DqehH4sO9x9sts7IA1t6xx7Uqitk6i2UkbqJQt21uaLcnJPj5zUU5ZB32+F62MhexBMuB2G48JjfbtnIbuG6xPDdjvW9ZJ1/eR5Dt3jrJV2qwpen/+xc1mb7dj2+h3oe1bbguuyAroMQ85NN52oMRsVqck9sku2ym7ZLrttbfayFGWTrJWV8YD41aKEI55URpoyOhrIyGggtUqStsmvFMVPtH+DLzlHf3b4Uup1bCv2JlLoaW1lDfVjcTxduiNpLw9R1Ukitao0m2noXsjn20F9T7lkLds7q5/1PdNZXa/hffoceGNhvd9rlfY6uSN9PvW50i0at+lSBxPPp+c6N13DfqxSvf0aRbHs27/PjleuWNnRHUFrm1sdBGxv9dxWzZ2+n1sxrVZ7ax10+5wz7mNj192q224dd54bu906nkVF98THT8PbQ9e+9gnfa9pKPp2AZBNUtNuIm0jsxhK7kQROYN0I9L9G0kj30pBA0vO6n04W1Ou7via1Kb/fzrC9JCUL24sz/HcoyyVohwpdbka3yPat203pOD92n/R80nH/1jUWRXIF3TutvUi+4EjO9iK5omN7v9Ca+NHq7pBONai1Jx3YPqm1JyM0E52Mma5Dr63yw8iVIPYkiDyJY12HPSdh7Num58LYlabeJ+mszE+r83OOaz+3tSK/R5cl0E7zjmMTIipx3bpw6FZPGvbzSdvyu4kvfqKTG/L600DcJGfnxy0LEMcS2bIQcdrxo73XSViJrW9fDB3xA0dyDU9ydf294onfdMULXPEDnXTiSOiLOLnEnrNiUbueu9JXFFlV0OVLYtG+KTld5mXbDnnJn18g39n9e9acBwAAAAAAAADML/1H/TWrPdtOPyUnwyOJbN8ZyfZdsRwYSivq+/tEfDeWMExk5+6G3KX9lEWson7juqKsW1MQ/yBrypdyrpy5uSSnrS/Izbsa8ttdDfnd7oacsKogp60vSk9+YcJuC+6iRAreWDV6Jw3G0tb2AyKyRWpJINs1qI+G5I/RXrkp3G4BU9oCX6vqB2TFLFrgLzQNXQfyedumbMFuFfdplX0laMqu+IDscQ7IPhmS2529cqu3TcSPLMzVxyq6OelzytYqvM8vS1+5LL1SlmNkre2TMJZ6s2lBfV0r7ZtNC/AbYWDhahDp8+5KU9v894qEviMaEd2ZJHL7PpF4f1odqe8sDY8LFvS4UvQ9yXt5cbXtu6ct1HW9+YaEXkXqbk2qjq4QXrcwSL8vXS95oH6UxJWVMlTVds+RrHRdOTXnyxrPs7WHg6H9sm3vLrkrnNhi3m0H7flcziq1O8P3nJ8T/xBC97Q6vLUetYbMrdCpvbcAPd3bmtRThOr2+a228+n51sdmWA4h+4jVwjppNaxeshunlbsTaXeGXEdYP37z2u8B3dZ462Wju1E0Y97vHpBtzm4L7G9179J+7um2ofUeFF8KiU750JA6lKAmUhtxxB0tyuhoj5QqA5If7RdvT4/ElXyrBbZuroWOaXAvUuzRlvd9oj9iihJKoMGj1GRUahLKgfS1s9C/ZFveKYnn6JIEg7b122XF0ogbUovrsi+uy7aoKpGMpt0ZdKmNQiBOIRC3GIlXiGxyQCe9n7Vqn7D5ri8FJ99u4+67HW3dHdeqgq//1U57gOM2HC25fC6tMM86B+irZK3CdZ8G6FbH3PpYGIf2Wgda8FtzJKi5EtZcCerpXqvb832hbcWBWAq9Ws2cfm29trxWYbeuRfdWPa9heZIuFaEDTtfktokQkVYtR1aVrGNWu0PohXcuQ6Ahuk3m0P+z5Ts0VM9up0+UDQ+teM5+pLvpOzL7nux7b00a0EkUVV0rPgna72f99Jx2zPB6ZcAtWIeMdCtIwUv3ep/mFP9pgJ/t9ee0Be+tavfO44OF7enSAekkjEpck3ojlNGhWCojiVSHE6nrKiZNR+LAkThM95EeB67E2dyh9lAbP+Z00puXF+sioXtP9zmxpUC8fpFCTrtJiAQNkUpd5MABR0J9/RsiQTN7Hseq3bV7geQDSQpNEduC9ubmI/Hysbj5WLx8In4+L34+Z8tQZO8Dq+W3vVbsZxMl0p8UiRNK6MQSagcWJ5ZaMrbVE5F6LDIcJ7LblllwJGxo5xUN7T0p6iQcyUuv2ytrnFX28yOyiRUNaTo1acpIq+OCSNHJ2VIyZbckfU6P9Dr9UnB86xqjb6+0u4xeoX7NWIaCQIZ1C5syHIYyGkWyPwxaAb5W1ifiRCJe4IjXdMSru+I1XMntc6XUcKUQOFIItUODdqdJxPE2yJ///WXynVc8VOYSlfPLuHL+97//vRx11FF2rD8I81P8sQVg8dAaEOgejFegezBege7BeAW6A2MV06lWYwvpd+yKZM8+DY9EVgy4sma1I709sQyPNmXP/sDatGtAv2mdtp6eXa1YM0osnL95Z92Oj1uVl9PWFaW/eHjrM+s/gevj1IJEqkHc2hJrq19rHaf79PvoLbhy0uqCnLA6LwUN52b5NYaSurW/3x4Py45o2EI1DRY2uP2yyRuQDV6/lA/SAn+pj1etsN9dq8uO+ohsbw5L1a1J5Dclp8FlPpQ415S6U28Fv6keKVlIn1XaZ8elsCBJM7Gw3trxh2Eazlm1dyzNOJRGpNXxaSt+C60tuMsC6bRbvAa3WcqhsZHmuNr4Pg0LXfE8DVk8aQaxuHEsBW2F3lpPWas7NVRvh+y53KTQPVvzfWLwnk7miGQkCOx56QzWw85gfcLezmu15xTPb7uRtIZq2hbaNg03rad4mm7aXjdLeOy5tojT2jx3tBdvBfBZbbOe1/dke/X5jm+nJDlZ7fTKSumRFdoNIc7Z96PPu23aKjo7bm+RBK3JAVPRJRg0dNO9q4G2F0rih5J4gUReJKEbSOQ2JXADq4ZuOA2pOjWJLGQPJEx0gYRE/MSVcnVAeiqD0jM6KMXRAfEqJUlG85JUffFjP1273QL8dInp1irTIvmaJPmaOIWaSC4dGxK7kjRKktRLkjSLkjQKrcS49XlWoTsWfme1wNlz5uccKRQdKZRaW+s4r5u269fq5daxn0+zmUMdrxqGN2qSbtVk0r6Z7evjVkywq8yXxK5Hv2xlOK261nvpa1BeEUmpP5JCbyT5nkj8QiSuTmrRduOtJRkmLsNgr6Uuw5B1hfB0SYb0Z7mNVatkTvfZ2O08d9CVCVpV8hb0t6rlddM8q6DjMafptEjsxdJMmtKImjaZQsP7eqtzRud0FAvvs9DeSwP8YkeQrxMTxofsoQStvb7mttfbreNmHEmjHkt9WKQ+6khzxJOg4ks0mpNwNCdx4I1N0ijG9rxq4K0Bu5PTfSxuLrZjx9dNl2+IrGo7/XjU/pi9DVsTFLTtv61db8sDpMsBtI/d1rIATiRha8kIe/83fUkavviNknj1oriNkriNgriNojiNvG3SyNl94oZnkwbSn5qt950+j14sbikUpxxIYltD4nJDwnJNwp6qNEt1afZUJHTTmQadz70G+bnEl3ySk1yiE560H4YnuViPPfv5N+yMSsVtSM1tSNMN03b+WmUvJRlIemWlMyCrnUHpc4paM29LQAzLkAwn+js1nTRVlrIMOAMyoBNsnAHpl37xnen/vtDfGaNhKCP68zqMZCQKZTiMZDQK09vaQUYniulklzCxCWMSijhNR5J6IrV9o/KBpz6AtvaYXTg/l28UAAAAAAAAAJhKM0hk5y4N6yPZtVsrK7Wi3pWN6x3xvEB2723YfQb6fdm0riirV+bbrXZnov9A/vs9DfnNzobUw1iOXZmG9IMlb9x9ahMC9+w4O6+hvIZsnQq+YxX72jq/nB87LvqObB0K5Pb9TQsN7rMyJyevKciqWU4syGi4tysetar6bfGw7Isrdr7fKUqPU7B168tOrrXP2z47p0FyN7AJCc2m7K7XZU+tLvsaDQtqi74r/SVXSmVdXzySuleXEanaNipVq1/NaAV1FtZrZWZF6lbtrltny2mtdC0nRSnHRelJClKMi1JOClKI81KM8xbQJqFrFf/1KN00OG/EkTSjyILCvlxeNpRLsrJQtOr3LICfzSSGLIQfaTbTvR0HFlJ3VpmnwWIrQ9dAWoNzrQ62fWzH1jzcTYPydP3tVvWpxdJpsN4qQJ4kXXM6DbN0VWt9ziYfa72rTkhwx+3Hnev4PP2au6IR2RGPyN64Yl9fJ5VoB4j1br+s9/pkQIOyKULmNODsCPFbW1MrrHWCRdS6bUH++Ns6SWHS4+lr7kcWWMZeIGG+Ik1dZsEflYZbk8AJJbbnRidLePb+0TBWA8B+p0f6pVf6pUcGRI/T20XJ21jWoLhSr0mlWpVKrWbt8LUqXF//tA1+2gq/XCy23xMakjcbYmF4s94KxVt7DcabtUQarb0F5RO+JX0YbT2ugbkF963Q3sL7Qlrt3NDHqKZ7fdx6NbFK6M5nxXHjtK2/bqVYckVtx63Vzon4hbTyWQNg12tNzGiF47oMQ6MRSbOhyzLout0iWvRuS3Lr2t2RJxL5aSV9wZNi0ZdyT056+jzpG8hJqaxh/KGtbz7x/ZF2iYglDCKp2YQCnZQQ2b7ZiCVoxnZt+vEg1N8fGvBrl4LAJg7opAIbD66+73VpiLzkc3kp5HNSzOelVMqJWxBJ8oGEXiMN8DW8j9LwXo87A2T9+arvh3TyR3adInHNk7CSk0gnfVQKElcKElVydk5/tmTt9gulREp9IuV+R3ps86R/wJOePldyea0O1zGu4znIpplImATZUWviSeetdCJK55np6PjPif6u0Er/VmN9p3OfdgDQSUn687NunQKatq9Lo7UfO67pc9QMpV7X91wiUsulWzUvUsmJUy2IVy2KW82LE+lPjuw/fR87UiyLlMqulHU5m7In5R5PCmWRYtmx/VSTU6w7SxJILWrIaFyRvfEB2ZsMyQFnVIb1N4TXkEBL21vfb09SlAHplRXSJ71OSYr6+jna22LEAvvs90SP9EjeJr+lLfbTSQdj7fYnnh/fhN+RMHakHjlW8V8LHalG6X7faE2u/dkNcsVzX0I4j+kRzgMAAAAAAABYLNoydvfeWO66J7KqerV+jSsDA7FU600ZGg4ln3Nkw7qibFhbkKIuRHsQGuLduqcpv9lZt7B9ddlvVcJrRe/4f97OeY6F7KWcI+W8KyU/Dd8thLctDeK1on8m9SCW3+9tyu93N6TSjGVNry/3XVOQowdzs5pYMOnxWi3wNbCvajCRNK0tvm5p896O70G8dlhfcvLtEH9ikJ/XmHYJtczXavB99Ybsrtesul4DbL26/nxe1paKsrqkwXjBKj2zoH6kY9NAq0eKWlNve62kLLf2WcA63zTIH221RR5ttkL4QKt109dI23b35Hzp19b2uZzEfii7vWE5IFUL15uJNmfW9/3UsYvGyHnHSzdt7d7ap+d8KUi6zz6e3VffExaNzfPrrRXEu+NR2WFh/bDsjasWfhXaYX2fhfXaZvrevvd0IsdYYB9ZZX4W3k+8rWG+bnXRsH5EwtyoBLkRCb1m2mXA0y4JOtHCs5bpGu6l0xBcez7ToH4svLct6ZGgHkqlVk0D+3rN2rbr96UBvS5dUMhlnS7SduKto9ZBR+Sr4a6G0Fp129TQPbE1wnWfrh+u+/RcdtsmBnhpwK7txT2rotaqag3Z0wpm7ZjgaGvtg8wf0Z9Jtn57uwJdJ4qkFe65VqV7WvXuWxW8Hmvr9eqwyOgBkcpQYpse10fHvi/tAtAz6EjPQLr1DortNXhVGvJnExcanRMWbBJDLPVaLHUN4+uxTThIa8LH2q47+UicUlOSYlOkqPuGOMXAzidNX7xmTrxmQbzQEzdyWg0j9HnRSvOg1f0hfR8mgYbovjhJThydouJ64mjnk1wicT6UMF+XMNeQIF+XOHRFRgoiI0WJR/ISj+ZF9PGtPbojuZ5ECtphoE/3iRT7Yjv2+5qS+Fplry3YNUhvWtCeHjUsdNajiaM/e0azcF1Hs04qsb3dTidl6TrrWmuuk03s2EmPs58AuvxAKNGUQbuG8LVW8369rVc46X0irv0sLVq0n5/hON3r17ZuJNoVpKkTR1odHKoi9UprX03a5/X17+R56dIT+n4plNOJKTphxfXSpQ7SY6d9rO937QagC5IMuyMy5IzIiDMqI35FKl5VIu2+oWPCTaQseauu7/EKUtQuKJ5jy2y0mu7bMz52lL73suYanWfHLfXR+l2cBf56plqrypVXXSn/+LR/IpzH7ML5O+64Q44++ujFviQA04iiSIaGhux4YGBAPP1tBWBJYrwC3YPxCnQPxivQHRiruDcajUTu3hbJXVsjGR6NpVR0ZN1abZEcyv6hplWzr16Rl43rCrJiIHfQsE/DrD/sa8qOkTAN3y2ETwP37Fj/gX4uaeB294HA2uynX9eVE1fn5cQ1Bfua95ZVEUrUCuzTrdoR3I+d16hl/DroGj2Ohfg5KSa+uLVIBpOCbO5fKz2+tutePNrqfU+9bkG9BvYatOrawKuKRVlTKsqaYkl6c4dflXtvJxJMVQmvFfdKr0jD9z7d8q19Lm/BvE60+GO0V24L98iBpGZV5pu9QWsN3xm8617XRm6H7EtsMsVsaHtvnVCyMx6xwH5PXLHgSr+ndd5YWL/CKS/Y92YV4doSPo5kOKrIzmC/7A217bWG9TVJvLpVkNuC1NpaXxfvdlzNXqVhtclxq/Je16kvjAvry42C+DVP4los1VpNwnD8mLN107OFATrWDR/LiMeOx9+vdeeO8/rzLApDC9KLxaK1ix8L13UiRjqJaPK58SG8npvL5z4Kk1ZonwX2ia2pPjrcWn8+0XbsUbq0RJjF7GOBu4bsumno7hRD29xSYKG7WwzbXQSKJdfazGs4rVON0g4Ivkb29kgVqUpFalJNalKTeiuE1ug5SJe20Gr2ak68WkHytbz4QU5yQU7yoSd+7IoTO7Ylsa717knU9CWq5yVu+hJHnjilUKQcpm3bexoS9tUk6q1J0FuV0A8kdHW6ULooRPbfRO1Kcp0Y0arRTvfZrQn12XM8RPR3gL6HCzMG7ePDdlu+wSaWpBNOsu4G9trpnBDPs/fY4bynbDmGVmCf7jvCfO0IUdf3fbolUTJ23NofjC5DoK9/YJ0GdCxru//0VTL5UJxSYG35/WJkW64US6GYSKGQ2N7Np50YOmVLfdhr5nS8Zo4jtWpNvvrVr8olr34/4Txmv+b8CSecsNiXBGAatVpNrrzySjs+99xzpVQqLfYlAZgG4xXoHoxXoHswXoHuwFjFXNB/gj4wlFg1vYb1YZjIqhWO9PdH0mgGUq1FUip5FtKvX1OQ3CzXeV9oB2qRhfS37UsnFhy9Im/V9Gt6FiZ01TbhGtJPFeTrudGwJnfs2WaVwytWrpRerygrnJKscMuywi3JSlfX6S1akLQY74HhZtCuqm+3wPe8dlCvIfjY/cdqGtMEY4rjjvt1fs5Un69HlSBsV8Jr+3ulr1o557fD9yyM783lxlWpa0h9Z7Rfbgv3yvZ42OpJt3gr5Dh/lWx0B+a9on2p0Pfg7o6wXo+zsH5tR1i/cgHD+oy+n4abTdnbqMuuxrDsjQ5I3alK7NXEyzfFyTVsyQGt0E005HZykjieTXlpOtoCPO1ikV12b1KW3lbXBg0/S442DR8LOtPG4oV2dXE3/H7NWq6nddVNabYqvdPbgbWEb99OsqN0TXdr/T5SkHioKNGwtv4XyVmr/rR1v4bt2gkl3wrcNerUoF2rlTV31QBVJ0Y0nEBrzC1mz/b6VdPYPV3HfCJ9fvVR7ZGTsWdcK+nTnwS6tr0tEGEt8bWa3Q1dyQWeeIEvbuBZcK+V+I6tEZ9F7mPV0p0sWm8F7jq2210JHK1e1wkSnh1rq/1Wp/R0vXg3u6jW+2FS/DrV+bS+e2K5fevs5POJ9gXwxE3c9EvNELanx5MD+IPRsZst+5FuuVbHhbHlQGa7JMhsJXp9GtJHHQF+63YW3k8M9dP7JlKNmnIgHJWRelOq1UhqukRE1ZGg6khc89vfsz6nWqnvl2LJl2ObKFIsiZRLurSFL6WyvqcT8ctp1wq9pn3798lFb3mLfP/z357TcP7QFsoBAAAAAAAAAOAQ6D/0rxjUzZVTT/Zl2w5tex/K7Xe64nkFWbtaxPcC+eOdVbn97pqsXZW3ten7epfWP1/rWvcPO6osZ2wqyW17GxbUf++WpqwoexbS32dlXvzDaHk/W7peuLbx7ZPitGHff/z6TgkKIvc/62ip+pHsi2tyZ7RPbgrTRaw1bOp3ixaeamCfBfda9T2fYao+9kAhb9vxAwNW/by30ZDdtZqtWX/3aEXmW9lPQ/hNPT3tMF4r97VKdCoazOg67Fohr8G8VmmudfvkEflj5GhvhbVLP9Loe3CD12+b5LSSNbZqem2Br2H9jcFWiYLYmnBnYf2gqzG2tvBPt/nqIKAh6mChYNtxMiBJslkqYWhLLexr1GXvSF1Go6oEfk38fFO8QlMcvyGuV5eCm0ivhXcavur48izA1/rc/U4tDY+TsNUqvF0Tb/uselljfP1OS8741uBpiD92W8fgbNha7fZfWsE9/v9rCJ3dSvfjjpNoXAg/MWif9Nxp+/80+rZ1u7UWu9fplZyjZ9NYXKvag8FYRvoaMqRruuva7hJIzQlkSJ8fJ5Ag1sA/lMAJ7Prb30tnsJzkxE988WNfPNvnxEuKUtbbds6zj+vzVXbztpXcnBQ8z7a8q3tXclrdPc3PW2vD7gdSL9alnmird6281+N004r6fNJj31s+KUg+tgUn0uA/1ur9tENAEmtAG6dLFtjt9Nhem1gnBHScb3UVmFgP3dlVYez/Zx+cMK2j3WBh/PfV2X0hPdRW8FmVd/rzddI28XxWFa7zCaY5p48eRqGEYShBx1ZrNOyc/tzu5OnrkC2Z0Bnce9m5dD+b8e7odXhpy/uD3HOKczqxZerJLY04kP21mhyoNmS42pSRSiCVaiz1aiwHqiLxAV+kossaaEcN/QmgC2L46YSTsr6XVktp3+ki8m2ZS1TOLzOsOQ8AAAAAAACgG+g/kGs1vba9r9UT6e0Rq6YPwkCCILZwftP6oqxZmRdvjtvVzwX9p/VtI6H8bldDtg4HkvccOWFVQU5ak5e+wtJaAkIDs/1xLd2SquyPdatZ4Ky0NbuuI67V9Vlor7e1SnQh1MNQqmGUhkRZONVRlGpnOm9n4VMr1Env0Qp4Wo851cdmYyiuWYW8tq6vJA2bEKEV8sd6q6XPHb9UQLWWyLYdkYyMxvYezeVEcr5WnYrkco74fut267yfE2tVvlzF7bA+razfFY9YZDzRWNv/nBTEGwvudd9xe65DfV22YF897dygob1W2mv1tO8H0lOKJF8IrMJe2+NXRbsCjI/PNLSNWhXgVqft6O140m29j27Z52dtsvX/tOo5n9gq4+KLa1su0UDQEVfbilvNefrVDoUG7LYuucWL+rh+K1xP28Zr6N46Gn9en1lNRfXnhAQynFRkbzQq++IR2ReP2u0RqUnNqaVt3luXpcG6hemxL27sjw/cWwF8rhW+67VoAK5fRydRWJP3Vot/u60rELTHePoaN+PIlsJoRJE0W6F4J71XXsN6T9vjp4G93c6OO85pqO+3AmnM/DttpucoivX38+TwfuK5cbGzIxbWZ0G9Lt+Qy4L71nmryvfmthJ/trRjw0hSk+FmVQ5UmxbgV6qRVCtR2op/xJGdd+yXt7z8LNraY3qE8wAAAAAAAAC6if4T9e69sdx5dyTbd0VWrbhiRSK5XCiNZii+78iGtQXZuK4opeLSCr0zI41IbtndlFv3NqQZJbK5PycnrMrL6qIvuox5EIgEYSJhq0Vv2m49azmctSbWcDN9vOz8WEvijjbuHZ+j98/+hV/32hm+t9eRvh7X9hoIT0cfdzRpWHV9Z2A/kmiVvTakdqTfKY5ri7/G7bWgdLnRqujbw31yW7RH9sSjFpwe46+U473VssbtGRdYjVZi6/6wbWckB4Zia+890Oemr3OY2GsdRtPHLhrOW2ifBfm5NMzX93l6rvO4I9jPAn+tLu2SgF/D+rqE9vymm1Zzd9yWqOM4tEkkejxVoD9dqF9ycraVnXzHsQbPBw/zwziW/RrUt8J6Pdb1zL1Wp4eyrrTgJJJY//D0mhInFnE6jrNV1+147L661wr3phNK6DQlcNLK+8DVs4EETrpedujEdqyP0bnmtb4HrRJfK8gTrcgvSo+UpEeKUpaS9ErZjrXKN23DfvD3hFbWV6Rugfv+eFT2xiNyIK7IsFRkVGoWVKbV3yJu4kk+KkgpKUm/6JIYPbLC7ZVVbq+szvVL0dWvOzYhZj6Db6uET5I0qI8iaUSxhfdj+1aQb4F+eqyvSuTohIlIIl0/3o1FdPN0r5MLspXgs1XiW1vSuu1oFXXH7VaLe/289ufYfbK15scmF2gHFa3sn2lbiIkC+lra8xHHUz5v2XOWPX9BHNv3ZNfvuOK3rjX7ftq3nanP5VzHxo7+kgujSOpBU6pBQ2phU+phU+IoEi9yxLHfhdGkLgNaie93Vt3rpAoL9LNzaYjveQuzlIyOydvvuUMe+thHyJ5bdhDOY3qE8wAAAAAAAAC6VbOZ2Lr0Wk0/NBJLPp9If5+209U2ySIrB3OyZlXe/mHe/ml7XGjdaticBditUGfifewuHffRg7HjNADN59xWEOBalfa4gD0cC2Hbt4N03whi2ReFstfCxljyiSP9sS/9iQZZ04cJabiVHoy1GR47P+XWCoP0TllW22gm1oUgUyo60tvjSF+vK309Thrc97pSyE8fpgVJJAdagb0F963QPl0P2rGgfr3bby3L13l9XRvWa3C8NRqyQF73+u7Z5A3Icd5q2eINtrsG6HtmeDSR7Tsi2bYzluGRtEp+3RpXNq7zZN1abe08/rnUzwk63he6D6Z53+j5seOxj0/oID2OVen7Y9X47fB+ynOt8L81CSA7f7BuFNmkEFvbubVPb7fWfNYxk639bG2+s493bEliX6+n7Ei5PPNkkYlr2zenCPXrcSiNWPcaKLaOc4HULfaOxj9H4rbC+ryF9Z3Bfec5rc7PxkK2br2G9XvrdamFaWiePh+tnyPZ2t7p2XHH7ck14853/Gya7rluhfuB25TYCyTxQ0m8QGI/lMgLJHQDCb2mhG7T7q/Xq+9ODVK1nX5ZCtLjaGBflF6nZMcaHx+ItQJ+1PbDUpWK1GzygS5HoNeXiwq2lZOS9DllGZQeWeH1yhpdjiBXkrKfs6+xlOhzqRM5qkkg1aQpNdsHUkuarXOt4ziw91Haoj79PO1a4MXpivVxx7rzrekV7XNTvVaTz429L1QW0FuYr50QIlfcOP16vrbqb+/T3wVpSO9ZoK37fDvodqY576a/j/T3ZDZJYULoPlXYPpGG5/l2Z4GxzgO616+hYyCMEwk0YI/TLYiTNNTX8SeB1G2JB51cEtsEE5sE4Y7djp1YYp0I0fk7rKNbguc4oosKDEhRBpK89EveljUo6vMVaWv9yCrxtcV+EEYS6S/gDvp4frsa3+s49iWftdfP5WzJknsb4s9X5ko4v8x0vlG++MUvyvr16+24v79fzjjjjEW+OgCd9BfMzp077XjdunX2CwTA0sR4BboH4xXoHoxXoDswVrGYtCpZ295v3RZJo6lt7iPJ5cfWvc3Cw7bEGQtQOsL2zorz9PN0S8P9dJ89ltMKHNOoZry0OtLRikFbZ9eVXM6TvAb5eQ3yx1c5e14io1Esd1ebsqMaiu+K3GdFXk5YnZe83wopWsGFVkFnAViWI4y1b5dp27RP/FgU6XjdpUvnSk/PGqnWXRmtJDI6msjIaGLLCGThoU5A0LC+r1fDe9f2upVLU7d+Tqvsm7Kztba4ti3Xlu9jYX2frNPAfomH9fp97I0rclu0V26P9lrwu9LtkeO8VXKsv8ra+2f3OzCUWHW8tq2vVNOQef1aVzau92TtanfOl1rI3s9RnEgUaUif2GSLZhC3q/E1xNe9ZlVh0NrreduLRK3Q3471fu1sbop1xp00oLc1nrPwXQ8tZB8Lmsc73O85fTCdHJDP65aOlbx1CUg3102/poX6du0a+Kehf+fxRPo99JQ96elxxS+LeOVYkkJoa6GnQW22peGthvzjnodWiK+vfXlCgK/BvQaJ6TrU7vTHrYr3GZ+BbGJQawuCQLbv3GlXM7hypa1xr2GqhqK2bwejY5sGpHVbQb0pTTcN6zW811A/C/Ejrymxq5MKtMDfHQvg45L0awDv9FoF/Gq/V/r8gpRz6fe4UNKJCmnbf1sCIMmWAWjtNRSWqP3ajQ/g09sTfz4XJ3RPsL2kr2O65aXo+OLOYpmOGa9v3LXq7fHXnS1xkE0cqMZNqbSuP52skb7H9bdJ3tr+p2G9hvYa5LsW6LsikStJlP5uOpiZwvastX9W/a5jvd1RwJ7n9LkOsuMksokPGr6nW9DuaqG3O3+OtCez6TINuoSC9nDQ7ydJF1bw4nSSgn5fEjviRI6F/CNJXSr6Hnb0fRtK00336SSztFtBSfLS4xSkXze3KINOUQZ1AkqiH02sAt9a6Wd7bacfpfvO50x/t+aysL4V2OftOCe5XLo/WIA/X+H80v0tiXtN34gAli79A+yGG26w43PPPZd/4ACWMMYr0D0Yr0D3YLwC3YGxisU0OODadspJvmzfmQb1u/f4k9cenuIf1p1WaOd5utcqO0e06DC93WoNrsfahtc+PnZbQ0O9rZMAYg3ItCox0C2SRiOWejMYyyj0cX1XikVPSkXX2u7rVi66ks/7cn+nINUgllt2N+T3e5py+4G08nU+6PUe2FcRLwnlqE1l6SnmpJhzpLDGkdUbHNnoOZKEjkRNkaAu0qwncmA4kXu26/eYfkPaot3C+gnBvVXfewXpc9fI8f4au+9o3GitLT4sd0cH5LdhOpFn0C1bWK/V9eu83nbgvViyiQV3RHttLfmhpGbB6/HeGltLXtv2Z/fbsy9uVchH1oGgkNdA3pP738+VNavcSe3k9XOazVhqjdjCcA2QNRBPg3ENkdJ9FpS375Odn3Du3pRSWjWpvncnPN3pcgljSyhkyyd03tbP1XHQnuzRMetj4rn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+ "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": { + "image/png": { + "height": 361, + "width": 1011 + } + }, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dropped 0 epochs: \n", + "The following epochs were marked as bad and are dropped:\n", + "[]\n", + "Channels marked as bad:\n", + "['E17', 'E51', 'E57', 'E68', 'E104', 'E107', 'E125', 'VREF']\n" + ] + } + ], + "source": [ + "epochs_clean.plot_psd(fmax=80, method='multitaper')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "py312", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.11" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/getting_started_merged.ipynb b/getting_started_merged.ipynb index 77effb8..552c117 100644 --- a/getting_started_merged.ipynb +++ b/getting_started_merged.ipynb @@ -4,7 +4,25 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# 🧹 *****BrainHack Montreal 2026*****\n", + "# HyPyP Demonstration Notebook\n", + "\n", + "Authors : Guillaume Dumas, Anaël Ayrolles, Florence Brun\n", + "\n", + "Date : 2022-11-03\n", + "\n", + "This notebook demonstrates the basic functionalities of the [HyPyP](https://github.com/ppsp-team/HyPyP/tree/master) library for hyperscanning EEG analysis. \n", + "\n", + "In this notebook we:\n", + "- **Load libraries** for core operations, data science, visualization, and EEG analysis (using MNE).\n", + "- **Set analysis parameters** such as frequency bands.\n", + "- **Load and preprocess data** (including ICA correction and autoreject) for two participants.\n", + "- **Perform analyses** such as power spectral density (PSD) estimation and connectivity analysis.\n", + "- **Run statistical tests** (parametric and non-parametric cluster-based permutations) on the computed data.\n", + "- **Visualize** the results with sensor maps and connectivity projections in both 2D and 3D.\n", + "\n", + "The expected outputs are cleaned EEG epochs, PSD values, connectivity matrices, statistical test results, and visualizations that help interpret inter- and intra-brain connectivity.\n", + "\n", + "#🧹 *****BrainHack Montreal 2026*****\n", "\n", "Contributor: Joaquim Streicher\n", "\n", @@ -22,33 +40,35 @@ "I also attempted to simplify steps to make it more straight-to-the-point for a total beginner.\n", "\n", "Main changes include:\n", - "1. Using simulated data instead of imported non-hyperscanning data.\n", - "2. ICA simplified so that user does not have to manually select anything." + "1. Using simulated synchronized data from Annemarie instead of imported non-hyperscanning data.\n", + "2. The preprocessing steps, including the ICA, has been simplified so that the user does not have to manually select anything.\n", + "3. I added some visualizatiopn steps and further explanations and ressources to make sure the user understands the main concepts, most notably: imaginary coherence, connectivity metrics, etc.\n", + "\n", + "## To do from there:\n", + "1. Make sure simulated data, montage attribution, and preprocessing steps lead to tangible results for user.\n", + "2. Replace stats with UCLA workshop ones.\n", + "3. Explanations and instructions in greater detail.\n", + "4. Explain 9 possible metrics (2 sentences)." ] }, { "cell_type": "markdown", - "metadata": { - "id": "y-pfFSz18Q4H" - }, + "metadata": {}, "source": [ - "# HyPyP Demonstration Notebook\n", + "
    \n", "\n", - "Authors : Guillaume Dumas, Anaël Ayrolles, Florence Brun\n", + "A. Ressources to understand hyperscanning\n", "\n", - "Date : 2022-11-03\n", + "To understand what this code does on a higher, conceptual level, you can refer to the following references: \n", "\n", - "This notebook demonstrates the basic functionalities of the [HyPyP](https://github.com/ppsp-team/HyPyP/tree/master) library for hyperscanning EEG analysis. \n", + "1. Dumas, G., Nadel, J., Soussignan, R., Martinerie, J., & Garnero, L. (2010). Inter-brain synchronization during social interaction. PloS one, 5(8), e12166.\n", + "2. Dumas, G., Lachat, F., Martinerie, J., Nadel, J., & George, N. (2011). From social behaviour to brain synchronization: review and perspectives in hyperscanning. Irbm, 32(1), 48-53.\n", "\n", - "In this notebook we:\n", - "- **Load libraries** for core operations, data science, visualization, and EEG analysis (using MNE).\n", - "- **Set analysis parameters** such as frequency bands.\n", - "- **Load and preprocess data** (including ICA correction and autoreject) for two participants.\n", - "- **Perform analyses** such as power spectral density (PSD) estimation and connectivity analysis.\n", - "- **Run statistical tests** (parametric and non-parametric cluster-based permutations) on the computed data.\n", - "- **Visualize** the results with sensor maps and connectivity projections in both 2D and 3D.\n", + "Moreover, information regarding the hypyp pipeline is avalaible here: \n", + "Ayrolles, A., Brun, F., Chen, P., Djalovski, A., Beauxis, Y., Delorme, R., ... & Dumas, G. (2021). HyPyP: a Hyperscanning Python Pipeline for inter-brain connectivity analysis. Social Cognitive and Affective Neuroscience, 16(1-2), 72-83.\n", "\n", - "The expected outputs are cleaned EEG epochs, PSD values, connectivity matrices, statistical test results, and visualizations that help interpret inter- and intra-brain connectivity." + "Please note that there are important steps prior to data analysis if one wants to perform hyperscanning analysis (experimental design, data acquisition). See:\n", + "Barraza, P., Dumas, G., Liu, H., Blanco-Gomez, G., van den Heuvel, M. I., Baart, M., & Pérez, A. (2019). Implementing EEG hyperscanning setups. MethodsX, 6, 428-436." ] }, { @@ -57,7 +77,7 @@ "id": "A4IgW3om9IU0" }, "source": [ - "## Load useful libs" + "## Load libraries" ] }, { @@ -69,16 +89,9 @@ "### Core" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "***JS modifs: Deleted unused libraries***" - ] - }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 1, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -115,7 +128,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 2, "metadata": { "executionInfo": { "elapsed": 129, @@ -146,7 +159,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 3, "metadata": { "executionInfo": { "elapsed": 7074, @@ -176,7 +189,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "metadata": { "executionInfo": { "elapsed": 9, @@ -192,16 +205,10 @@ }, "outputs": [], "source": [ - "import mne" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": {}, - "outputs": [], - "source": [ - "from mne.preprocessing import ICA" + "import mne\n", + "from mne.preprocessing import ICA\n", + "import mne_icalabel\n", + "from mne_icalabel import label_components" ] }, { @@ -215,7 +222,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 5, "metadata": { "executionInfo": { "elapsed": 9, @@ -241,1217 +248,1434 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### ICA" + "## Simulate hyperscanning data" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "
    \n", - "\n", - " Click here if you need to install mne-icalabel \n", - "\n", - "conda install -c conda-forge mne-icalabel" + "### We simlate EEG data for two imaginary participants." ] }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "PAC channels: [1]\n" + ] + } + ], "source": [ - "import mne_icalabel\n", - "from mne_icalabel import label_components" + "import os, sys\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "from utils_eeg_simulations import simulate_eeg_pac_dipoles, simulate_eeg_cohen, sinewave_multi_freq\n", + "\n", + "# 1) Quick multichannel background + oscillations (no leadfield required)\n", + "eeg, time, freqs_psd, psd = simulate_eeg_cohen(duration=10, srate=500, n_channels=4, noise_level=0.5, seed=42)\n", + "\n", + "plt.figure(figsize=(8,4))\n", + "for ch in range(eeg.shape[0]):\n", + " plt.plot(time, eeg[ch] + ch*6, label=f'ch{ch}')\n", + "plt.xlabel('Time (s)')\n", + "plt.title('simulate_eeg_cohen — simulated EEG')\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# 2) Simulate dipole->sensor projection (uses leadfield). If you don't have If_gain.mat, create a fake Gain.\n", + "mat_path = r'c:\\path\\to\\If_gain.mat' # adjust if you have a real file\n", + "if os.path.exists(mat_path):\n", + " eeg2, time2, sources, mask, pac_ch = simulate_eeg_pac_dipoles(lf_mat=mat_path, srate=500, duration=8, seed=42)\n", + "else:\n", + " # build a lightweight lf-like object compatible with lf_mat[\"lf\"][0,0][\"Gain\"]\n", + " fake_Gain = np.random.randn(32, 200) # 32 channels x 200 sources\n", + " lf_like = {\"lf\": np.array([[{\"Gain\": fake_Gain}]])}\n", + " eeg2, time2, sources, mask, pac_ch = simulate_eeg_pac_dipoles(lf_mat=lf_like, srate=500, duration=8, seed=42)\n", + "\n", + "plt.figure(figsize=(8,4))\n", + "for ch in range(min(8, eeg2.shape[0])):\n", + " plt.plot(time2, eeg2[ch] + ch*10, label=f'ch{ch}')\n", + "plt.title('simulate_eeg_pac_dipoles — projected EEG')\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "print('PAC channels:', pac_ch)" ] }, { "cell_type": "markdown", - "metadata": { - "id": "GhNB0IGwBIH7" - }, + "metadata": {}, "source": [ - "## Setting Analysis Parameters\n", - "\n", - "We define the frequency bands used in the study. Here we use two bands within the Alpha range. We also use an `OrderedDict` to preserve the order of the bands.\n", - "\n", - "# ***JS modifs & suggestions:***\n", - "- Could explain more why selected bands\n", - "- Unclear why OrderedDict." + "### Here we do the same but ensure that the two simulated EEG signals are synchronized in some ways..." ] }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "executionInfo": { - "elapsed": 155, - "status": "ok", - "timestamp": 1655930118883, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "Hra1lCwpBMmX" - }, + "execution_count": 26, + "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Frequency bands: OrderedDict([('Alpha-Low', [7.5, 11]), ('Alpha-High', [11.5, 13])])\n" - ] + "data": { + "text/plain": [ + "dict_keys(['eeg_a', 'eeg_b', 'sources_a', 'sources_b', 'shared_drive', 'time'])" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "# Define frequency bands as a dictionary\n", - "freq_bands = {\n", - " 'Alpha-Low': [7.5, 11],\n", - " 'Alpha-High': [11.5, 13]\n", - "}\n", + "import os, sys\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", "\n", - "# Convert to an OrderedDict to keep the defined order\n", - "freq_bands = OrderedDict(freq_bands)\n", - "print('Frequency bands:', freq_bands)" + "import importlib\n", + "import utils_eeg_simulations # or utils_eeg_simulation\n", + "importlib.reload(utils_eeg_simulations)\n", + "\n", + "from utils_eeg_simulations import (\n", + " simulate_hyperscanning_eeg_shared_drive,\n", + " load_leadfield_mat\n", + ")\n", + "\n", + "lf_mat = load_leadfield_mat()\n", + "\n", + "output = simulate_hyperscanning_eeg_shared_drive(\n", + " lf_mat,\n", + " srate=500,\n", + " duration=30,\n", + " theta_freq=6.0,\n", + " gamma_freqs=(45.0, 55.0),\n", + " dipoles=None,\n", + " coupling_percent=0.5,\n", + " coupling_strength_A=1.0,\n", + " coupling_strength_B=1.0,\n", + " coupling_delay_B_sec=0.2,\n", + " noise_level_sources=1.0,\n", + " white_level_sources=0.5,\n", + " noise_level_eeg=0.5,\n", + " corr_strength=0.95,\n", + " orient=0,\n", + " seed=42\n", + ")\n", + "\n", + "output.keys()" ] }, { "cell_type": "markdown", - "metadata": { - "id": "MqKQJkbyDztm" - }, + "metadata": {}, "source": [ - "# ***JS: USE SIMULATED DATA INSTEAD***\n", - "\n", - "## Loading Data \n", - "\n", - "In this section we download the EEG datasets for two participants, convert them to MNE Epochs, and equalize the number of epochs across participants. \n", - "\n", - "The function `get_data` downloads a dataset from a given URL and saves it to a temporary file with an MNE-compatible filename." + "### ...and plot two channels." ] }, { "cell_type": "code", - "execution_count": 13, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 2738, - "status": "ok", - "timestamp": 1655930127424, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "ZQKz8DmyEJdD", - "outputId": "2cf8461d-e2de-4e56-be9f-ec00f393bcaf" - }, + "execution_count": 27, + "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Reading C:\\Users\\Joaquim\\AppData\\Local\\Temp\\tmp3p1fm_zs-epo.fif ...\n", - " Found the data of interest:\n", - " t = -500.00 ... 500.00 ms\n", - " 0 CTF compensation matrices available\n", - "Not setting metadata\n", - "260 matching events found\n", - "No baseline correction applied\n", - "0 projection items activated\n", - "Reading C:\\Users\\Joaquim\\AppData\\Local\\Temp\\tmp52nyybdb-epo.fif ...\n", - " Found the data of interest:\n", - " t = -500.00 ... 500.00 ms\n", - " 0 CTF compensation matrices available\n", - "Not setting metadata\n", - "36 matching events found\n", - "No baseline correction applied\n", - "0 projection items activated\n" - ] + "data": { + 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "# Template URL for downloading participant data\n", - "URL_TEMPLATE = \"https://github.com/ppsp-team/HyPyP/blob/master/data/participant{}-epo.fif?raw=true\"\n", - "\n", - "def get_data(idx):\n", - " \"\"\"\n", - " Download EEG data for a given participant index and save it to a temporary file.\n", - " \n", - " Parameters:\n", - " idx (int): Participant index number.\n", - " \n", - " Returns:\n", - " str: File path of the temporary file containing the EEG data.\n", - " \"\"\"\n", - " \n", - " # Format the URL with the participant index\n", - " url = URL_TEMPLATE.format(idx)\n", - " \n", - " # Download the data\n", - " response = requests.get(url)\n", - " \n", - " # Save the content to a temporary file with the suffix '-epo.fif'\n", - " temp_file = tempfile.NamedTemporaryFile(delete=False, suffix=\"-epo.fif\")\n", - " temp_file.write(response.content)\n", - " temp_file.close()\n", - " \n", - " return temp_file.name\n", + "import matplotlib.pyplot as plt\n", "\n", - "# Load epochs for two participants using MNE\n", - "epo1 = mne.read_epochs(\n", - " get_data(1),\n", - " preload=True,\n", - ") \n", + "channel = 0\n", + "time = output[\"time\"]\n", "\n", - "epo2 = mne.read_epochs(\n", - " get_data(2),\n", - " preload=True,\n", - ")" + "plt.figure(figsize=(10, 4))\n", + "plt.plot(time, output[\"eeg_a\"][channel], label=\"Participant A\")\n", + "plt.plot(time, output[\"eeg_b\"][channel], label=\"Participant B\", alpha=0.7)\n", + "plt.xlim(5, 6)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Amplitude\")\n", + "plt.legend()\n", + "plt.title(f\"Hyperscanning EEG – channel {channel}\")\n", + "plt.show()" ] }, { "cell_type": "markdown", - "metadata": { - "id": "CySwVIa4FYTg" - }, + "metadata": {}, "source": [ - "Since our example dataset was not initially dedicated to hyperscanning, we need to equalize the number of epochs between our two participants.\n", - "\n", - "# JS: change!" + "### Make the data format usable as input for MNE functions." ] }, { "cell_type": "code", - "execution_count": 15, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "executionInfo": { - "elapsed": 276, - "status": "ok", - "timestamp": 1655930131060, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "_Sd3cH2vFcwP", - "outputId": "9d32b0e0-0b7f-4490-d9d9-26f51f96957d" - }, + "execution_count": 28, + "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Dropped 224 epochs: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 56, 57, 58, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 100, 101, 104, 105, 106, 107, 108, 109, 110, 111, 113, 114, 116, 117, 118, 119, 120, 121, 122, 125, 126, 127, 128, 130, 131, 134, 135, 136, 137, 138, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 169, 172, 173, 175, 176, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 219, 220, 221, 222, 223, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259\n", - "Dropped 0 epochs: \n", - "Sampling rate: 500.0\n" - ] + "data": { + "text/plain": [ + "(,\n", + " )" + ] + }, + "execution_count": 28, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "# Equalize the number of epochs between participants\n", - "mne.epochs.equalize_epoch_counts([epo1, epo2])\n", + "import numpy as np\n", + "import mne\n", + "\n", + "srate = 500\n", + "eeg_a = output[\"eeg_a\"]\n", + "eeg_b = output[\"eeg_b\"]\n", + "\n", + "assert eeg_a.shape[0] == 64\n", + "\n", + "# BioSemi 64 montage\n", + "montage = mne.channels.make_standard_montage(\"biosemi64\")\n", "\n", - "# Define sampling frequency from the first participant's data\n", - "sampling_rate = epo1.info['sfreq']\n", - "print('Sampling rate:', sampling_rate)" + "ch_names = montage.ch_names # exactly 64, correctly ordered\n", + "\n", + "info = mne.create_info(ch_names=ch_names, sfreq=srate, ch_types=\"eeg\")\n", + "\n", + "raw_a = mne.io.RawArray(eeg_a, info, verbose=False)\n", + "raw_b = mne.io.RawArray(eeg_b, info, verbose=False)\n", + "\n", + "raw_a.set_montage(montage)\n", + "raw_b.set_montage(montage)\n", + "\n", + "raw_a, raw_b" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "FILTERS" + "### We also map channels on a sensor space." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "data": { + "image/png": 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", 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    " + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "raw_a.plot_sensors(show_names=True)" + ] }, { "cell_type": "markdown", - "metadata": { - "id": "6-4jzVNbGs4R" - }, + "metadata": {}, "source": [ - "## Preprocessing Epochs\n", - "\n", - "### ICA Correction \n", - "\n", - "We perform Independent Component Analysis (ICA) on the data from both participants to identify and remove artefactual components. First, we compute the ICA using the HyPyP function `ICA_fit` and then choose the relevant components for artefact rejection using `ICA_choice_comp`." + "## Preprocessing" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 30, "metadata": {}, + "outputs": [], "source": [ - "
    \n", - " If you want to know more about ICA click here \n", - "\n", - "ICA could be done\n", + "# Paramètres de preprocessing\n", + "TARGET_SFREQ = 500\n", + "NOTCH_FREQS = [60, 120, 180] # Hz (US power line + harmoniques, max < Nyquist 250Hz)\n", + "EPOCH_DURATION = 2.0 # secondes\n", + "ICA_N_COMPONENTS = 20\n", + "ICA_EXCLUDE_THRESHOLD = 0.5 # probabilité pour exclure une composante non-brain\n", "\n", - "You can also use the mne-icalabel to automatically detect the not brain related components. Since this library depends on machine learning frameworks with complicated dependancies, we did not include it in the base requirements of HyPyP. If you want to test this automated approach of ICA annotation, just install it using ```pip install mne-icalabel``` and use the function below:" + "sampling_rate = TARGET_SFREQ" ] }, { - "cell_type": "code", - "execution_count": 16, + "cell_type": "markdown", "metadata": {}, - "outputs": [], "source": [ - "def ICA_autocorrect(icas: list, epochs: list, verbose: bool = False) -> list:\n", - " \"\"\"\n", - " Automatically detect the ICA components that are not brain related and remove them.\n", - "\n", - " Arguments:\n", - " icas: list of Independent Components for each participant (IC are MNE\n", - " objects).\n", - " epochs: list of 2 Epochs objects (for each participant). Epochs_S1\n", - " and Epochs_S2 correspond to a condition and can result from the\n", - " concatenation of Epochs from different experimental realisations\n", - " of the condition.\n", - " Epochs are MNE objects: data are stored in an array of shape\n", - " (n_epochs, n_channels, n_times) and parameters information is\n", - " stored in a disctionnary.\n", - " verbose: option to plot data before and after ICA correction, \n", - " boolean, set to False by default. \n", - "\n", - " Returns:\n", - " cleaned_epochs_ICA: list of 2 cleaned Epochs for each participant\n", - " (the non-brain related IC have been removed from the signal).\n", - " \"\"\"\n", - "\n", - " cleaned_epochs_ICA = []\n", - " for ica, epoch in zip(icas, epochs):\n", - " ica_with_labels_fitted = label_components(epoch, ica, method=\"iclabel\")\n", - " ica_with_labels_component_detected = ica_with_labels_fitted[\"labels\"]\n", - " # Remove non-brain components (take only brain components for each subject)\n", - " excluded_idx_components = [idx for idx, label in enumerate(ica_with_labels_component_detected) if label not in [\"brain\"]]\n", - " cleaned_epoch_ICA = mne.Epochs.copy(epoch)\n", - " cleaned_epoch_ICA.info['bads'] = []\n", - " ica.apply(cleaned_epoch_ICA, exclude=excluded_idx_components)\n", - " cleaned_epoch_ICA.info['bads'] = copy.deepcopy(epoch.info['bads'])\n", - " cleaned_epochs_ICA.append(cleaned_epoch_ICA)\n", - "\n", - " if verbose:\n", - " epoch.plot(title='Before ICA correction', show=True)\n", - " cleaned_epoch_ICA.plot(title='After ICA correction',show=True)\n", - " return cleaned_epochs_ICA" + "### 1. Filters" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Estimating rejection dictionary for eeg\n", - "The rejection dictionary is {'eeg': np.float64(0.00010129807784293706)}\n", - "0 bad epochs dropped\n", - "Fitting ICA to data using 31 channels (please be patient, this may take a while)\n", - "Selecting by number: 15 components\n", - "Computing Extended Infomax ICA\n", - "Fitting ICA took 5.2s.\n", - "Estimating rejection dictionary for eeg\n", - "The rejection dictionary is {'eeg': np.float64(4.747409473367548e-05)}\n", - " Rejecting epoch based on EEG : ['Fp1', 'F7', 'FT10', 'T8', 'TP10']\n", - " Rejecting epoch based on EEG : ['Fp1', 'FT10', 'TP10', 'O1']\n", - " Rejecting epoch based on EEG : ['Fp1', 'FT10']\n", - " Rejecting epoch based on EEG : ['O1']\n", - "4 bad epochs dropped\n", - "Fitting ICA to data using 31 channels (please be patient, this may take a while)\n", - "Selecting by number: 15 components\n", - "Computing Extended Infomax ICA\n", - "Fitting ICA took 5.6s.\n" + "Filtering raw data in 1 contiguous segment\n", + "Setting up band-stop filter from 59 - 61 Hz\n", + "\n", + "FIR filter parameters\n", + "---------------------\n", + "Designing a one-pass, zero-phase, non-causal bandstop filter:\n", + "- Windowed time-domain design (firwin) method\n", + "- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation\n", + "- Lower passband edge: 59.35\n", + "- Lower transition bandwidth: 0.50 Hz (-6 dB cutoff frequency: 59.10 Hz)\n", + "- Upper passband edge: 60.65 Hz\n", + "- Upper transition bandwidth: 0.50 Hz (-6 dB cutoff frequency: 60.90 Hz)\n", + "- Filter length: 3301 samples (6.602 s)\n", + "\n", + "Filtering raw data in 1 contiguous segment\n", + "Setting up band-stop filter from 59 - 61 Hz\n", + "\n", + "FIR filter parameters\n", + "---------------------\n", + "Designing a one-pass, zero-phase, non-causal bandstop filter:\n", + "- Windowed time-domain design (firwin) method\n", + "- Hamming window with 0.0194 passband ripple and 53 dB stopband attenuation\n", + "- Lower passband edge: 59.35\n", + "- Lower transition bandwidth: 0.50 Hz (-6 dB cutoff frequency: 59.10 Hz)\n", + "- Upper passband edge: 60.65 Hz\n", + "- Upper transition bandwidth: 0.50 Hz (-6 dB cutoff frequency: 60.90 Hz)\n", + "- Filter length: 3301 samples (6.602 s)\n", + "\n" ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "
    \n", + " \n", + " \n", + " General\n", + "
    MNE object typeRawArray
    Measurement dateUnknown
    ParticipantUnknown
    ExperimenterUnknown
    \n", + " \n", + " \n", + " Acquisition\n", + "
    Duration00:00:30 (HH:MM:SS)
    Sampling frequency500.00 Hz
    Time points15,000
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    Head & sensor digitization67 points
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    Highpass1.00 Hz
    Lowpass100.00 Hz
    " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 31, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "icas = prep.ICA_fit([\n", - " epo1, epo2\n", - "],\n", - " n_components=15,\n", - " method='infomax',\n", - " fit_params=dict(extended=True),\n", - " random_state=42\n", - ")" + "raw_a.load_data()\n", + "raw_b.load_data()\n", + "\n", + "# band-pass example\n", + "raw_a.filter(1., 100., fir_design=\"firwin\", verbose=False)\n", + "raw_b.filter(1., 100., fir_design=\"firwin\", verbose=False)\n", + "\n", + "# notch example (line noise)\n", + "raw_a.notch_filter(freqs=[60])\n", + "raw_b.notch_filter(freqs=[60])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 2. Average referencing" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 32, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "C:\\Users\\Joaquim\\AppData\\Local\\Temp\\ipykernel_26308\\2745188928.py:25: RuntimeWarning: The provided Epochs instance is not filtered between 1 and 100 Hz. ICLabel was designed to classify features extracted from an EEG dataset bandpass filtered between 1 and 100 Hz (see the 'filter()' method for Raw and Epochs instances).\n", - " ica_with_labels_fitted = label_components(epoch, ica, method=\"iclabel\")\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "Applying ICA to Epochs instance\n", - " Transforming to ICA space (15 components)\n", - " Zeroing out 10 ICA components\n", - " Projecting back using 31 PCA components\n" + "EEG channel type selected for re-referencing\n", + "Applying average reference.\n", + "Applying a custom ('EEG',) reference.\n", + "EEG channel type selected for re-referencing\n", + "Applying average reference.\n", + "Applying a custom ('EEG',) reference.\n" ] }, { - "ename": "AttributeError", - "evalue": "'function' object has no attribute 'deepcopy'", - "output_type": "error", - "traceback": [ - "\u001b[31m---------------------------------------------------------------------------\u001b[39m", - "\u001b[31mAttributeError\u001b[39m Traceback (most recent call last)", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[18]\u001b[39m\u001b[32m, line 1\u001b[39m\n\u001b[32m----> \u001b[39m\u001b[32m1\u001b[39m cleaned_epochs_ICA = \u001b[43mICA_autocorrect\u001b[49m\u001b[43m(\u001b[49m\u001b[43micas\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43m[\u001b[49m\u001b[43mepo1\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mepo2\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mverbose\u001b[49m\u001b[43m=\u001b[49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n", - "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[16]\u001b[39m\u001b[32m, line 32\u001b[39m, in \u001b[36mICA_autocorrect\u001b[39m\u001b[34m(icas, epochs, verbose)\u001b[39m\n\u001b[32m 30\u001b[39m cleaned_epoch_ICA.info[\u001b[33m'\u001b[39m\u001b[33mbads\u001b[39m\u001b[33m'\u001b[39m] = []\n\u001b[32m 31\u001b[39m ica.apply(cleaned_epoch_ICA, exclude=excluded_idx_components)\n\u001b[32m---> \u001b[39m\u001b[32m32\u001b[39m cleaned_epoch_ICA.info[\u001b[33m'\u001b[39m\u001b[33mbads\u001b[39m\u001b[33m'\u001b[39m] = \u001b[43mcopy\u001b[49m\u001b[43m.\u001b[49m\u001b[43mdeepcopy\u001b[49m(epoch.info[\u001b[33m'\u001b[39m\u001b[33mbads\u001b[39m\u001b[33m'\u001b[39m])\n\u001b[32m 33\u001b[39m cleaned_epochs_ICA.append(cleaned_epoch_ICA)\n\u001b[32m 35\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m verbose:\n", - "\u001b[31mAttributeError\u001b[39m: 'function' object has no attribute 'deepcopy'" - ] + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + "\n", + "\n", + "\n", + " \n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + "\n", + " \n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "\n", + " \n", + " \n", + " \n", + "\n", + "\n", + "\n", + "
    \n", + " \n", + " \n", + " General\n", + "
    MNE object typeRawArray
    Measurement dateUnknown
    ParticipantUnknown
    ExperimenterUnknown
    \n", + " \n", + " \n", + " Acquisition\n", + "
    Duration00:00:30 (HH:MM:SS)
    Sampling frequency500.00 Hz
    Time points15,000
    \n", + " \n", + " \n", + " Channels\n", + "
    EEG\n", + " \n", + "\n", + " \n", + "
    Head & sensor digitization67 points
    \n", + " \n", + " \n", + " Filters\n", + "
    Highpass1.00 Hz
    Lowpass100.00 Hz
    " + ], + "text/plain": [ + "" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" } ], "source": [ - "cleaned_epochs_ICA = ICA_autocorrect(icas, [epo1, epo2], verbose=True)" + "raw_a.set_eeg_reference(\"average\")\n", + "raw_b.set_eeg_reference(\"average\")" ] }, { "cell_type": "markdown", - "metadata": { - "id": "t6ohyHwyM5_Q" - }, + "metadata": {}, "source": [ - "### Autoreject\n", - "\n", - "In this cell, we apply the local AutoReject algorithm using HyPyP. This step automatically rejects or interpolates bad epochs/channels while ensuring that the same channels/epochs are removed across participants. Verbose output provides a before/after comparison." + "### 3. Epoching" ] }, { "cell_type": "code", - "execution_count": 13, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 1000, - "referenced_widgets": [ - "8d3b374a199340a1aaae30cdfcbd2f3a", - "d1503a246d2144718a66002ae1ccd369", - "9c460121a3564ae9955ca30d3045a4cb", - "cf8222dc26fc44b186b8945fa9fc609a", - "6c3135af182045449e9efdc2ccc1cd9c", - "791792fcc7164fe98c0e2676b400286f", - "7af8b530217e423a8a4c78435c01ed32", - "d7463bb385ff4178baa222c7ca0d7097", - "6aff82fd480f4955a46e237e6c3bbdb5", - "fc2cfc3a28444dd6b76efb2d71f92bbb", - "95c2d620592a4c66a60a96a71393d127", - "f35b4ebc653942b4bed2957222b2c040", - "55807a677ed14ef18e529c65a787d0e0", - "b91d73ded847438c874f812ce0025a12", - "992811ccbbd748e1b37433eb5fcd2dfe", - "1194de640c2c40de95bbef7792d90a62", - "18e16d7d3fd7462c924dae3ecd172666", - "0305e4c99c3d45ea9103924b8879c60b", - "2c3e178d32874aa298f15d90f4589646", - "40e340b7ae61499ea7eec6759bc65261", - "e6efacfc866844a5bae720dd54c3dacb", - "7ccb0ca281d040b0938a4fa330f75bb6", - 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"fd2d018eb3f645e49d9620a579d60205", - "bdc306dbfff94156b4facee1b72be2dc", - "3c7cc720b984484aae13577395516668", - "a8400e16eb674ad3847378fc0f0af20b" - ] - }, - "executionInfo": { - "elapsed": 42755, - "status": "ok", - "timestamp": 1655930358257, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "D2KZUPNMNBUG", - "outputId": "11548c03-8f27-434f-d853-ab4bb9789c7f" - }, + "execution_count": 33, + "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "c:\\Users\\Joaquim\\miniconda3\\envs\\hypyp-env\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", - " from .autonotebook import tqdm as notebook_tqdm\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "Running autoreject on ch_type=eeg\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| Creating augmented epochs : 31/31 [00:02<00:00, 13.03it/s]\n", - "100%|██████████| Computing thresholds ... : 31/31 [00:01<00:00, 16.32it/s]\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 36/36 [00:00<00:00, 253.98it/s]\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 36/36 [00:03<00:00, 11.47it/s]\n", - "\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "100%|██████████| Fold : 10/10 [00:01<00:00, 8.19it/s]\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 36/36 [00:03<00:00, 11.37it/s]\n", - "\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "100%|██████████| Fold : 10/10 [00:00<00:00, 10.38it/s]\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 36/36 [00:02<00:00, 13.73it/s]\n", - "\n", - "\n", - "100%|██████████| Fold : 10/10 [00:00\n", + "(15, 64, 1000)\n" ] - }, + } + ], + "source": [ + "epochs_a = mne.make_fixed_length_epochs(raw_a, duration=2.0, overlap=0.0, preload=True, verbose=False)\n", + "epochs_b = mne.make_fixed_length_epochs(raw_b, duration=2.0, overlap=0.0, preload=True, verbose=False)\n", + "\n", + "print(epochs_a)\n", + "print(epochs_a.get_data().shape) # (n_epochs, n_channels, n_times_epoch)\n", + "\n", + "epochs = {}\n", + "epochs[1] = epochs_a\n", + "epochs[2] = epochs_b" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### 4. Pre-ICA auto-reject\n", + "\n", + "Nettoyage des epochs avant l'entraînement ICA pour améliorer la qualité de la décomposition :\n", + "\n", + "- **Interpolation** : Test de 1, 2, 4 ou 8 canaux à interpoler par epoch\n", + "- **Consensus** : Rejet si >30% des canaux sont mauvais dans un epoch\n", + "- **Objectif** : Fournir des données propres pour un meilleur fit ICA\n", + "\n", + "For simplicity, epochs excluded in P1 is excluded in P2, and vice versa." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "\n", - "\n", - "\n", - "\n", - "Estimated consensus=0.40 and n_interpolate=4\n", - "Running autoreject on ch_type=eeg\n" + "Kept: 14 14\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| Creating augmented epochs : 31/31 [00:02<00:00, 10.61it/s]\n", - "100%|██████████| Computing thresholds ... : 31/31 [00:03<00:00, 8.07it/s]\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 36/36 [00:00<00:00, 108.71it/s]\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 36/36 [00:06<00:00, 5.80it/s]\n", - "\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "100%|██████████| Fold : 10/10 [00:01<00:00, 6.12it/s]\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 36/36 [00:06<00:00, 5.86it/s]\n", - "\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "\u001b[A\u001b[A\n", - "\n", - "100%|██████████| Fold : 10/10 [00:01<00:00, 7.25it/s]\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 36/36 [00:06<00:00, 5.67it/s]\n", - "\n", - "\n", - "100%|██████████| Fold : 10/10 [00:00 50%\n", + "- **Application** : ICA appliqué directement sur les epochs filtrés" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", - "\n", - "\n", - "\n", - "Estimated consensus=0.20 and n_interpolate=1\n", - "Dropped 5 epochs: 3, 4, 5, 6, 20\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 31/31 [00:07<00:00, 4.39it/s]" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "No bad epochs were found for your data. Returning a copy of the data you wanted to clean. Interpolation may have been done.\n", - "Dropped 5 epochs: 3, 4, 5, 6, 20\n" + "[1] Fitting ICA...\n", + "Fitting ICA to data using 64 channels (please be patient, this may take a while)\n", + "Selecting by number: 20 components\n", + "Computing Extended Infomax ICA\n", + "Fitting ICA took 12.1s.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n", - "\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "\u001b[A\n", - "100%|██████████| Repairing epochs : 31/31 [00:05<00:00, 6.18it/s]" + "C:\\Users\\Joaquim\\AppData\\Local\\Temp\\ipykernel_15688\\3877014735.py:16: RuntimeWarning: Using n_components=20 (resulting in n_components_=20) may lead to an unstable mixing matrix estimation because the ratio between the largest (64) and smallest (4.9e-05) variances is too large (> 1e6); consider setting n_components=0.999999 or an integer <= 17\n", + " ica.fit(epochs_clean_ica[sid])\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "No bad epochs were found for your data. Returning a copy of the data you wanted to clean. Interpolation may have been done.\n", - "13.88888888888889 percent of bad epochs\n", - "NOTE: pick_types() is a legacy function. New code should use inst.pick(...).\n" + "[1] Labels: {'brain': 19, 'other': 1}\n", + "[1] Excluding 1 components: [19]\n", + "Applying ICA to Epochs instance\n", + " Transforming to ICA space (20 components)\n", + " Zeroing out 1 ICA component\n", + " Projecting back using 64 PCA components\n", + "[1] ICA applied: 14 epochs\n", + "\n", + "[2] Fitting ICA...\n", + "Fitting ICA to data using 64 channels (please be patient, this may take a while)\n", + "Selecting by number: 20 components\n", + "Computing Extended Infomax ICA\n", + "Fitting ICA took 11.8s.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "NOTE: pick_types() is a legacy function. New code should use inst.pick(...).\n" + "C:\\Users\\Joaquim\\AppData\\Local\\Temp\\ipykernel_15688\\3877014735.py:16: RuntimeWarning: Using n_components=20 (resulting in n_components_=20) may lead to an unstable mixing matrix estimation because the ratio between the largest (64) and smallest (5e-05) variances is too large (> 1e6); consider setting n_components=0.999999 or an integer <= 18\n", + " ica.fit(epochs_clean_ica[sid])\n" ] }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "name": "stdout", "output_type": "stream", "text": [ - "NOTE: pick_types() is a legacy function. New code should use inst.pick(...).\n", - "NOTE: pick_types() is a legacy function. New code should use inst.pick(...).\n" + "[2] Labels: {'brain': 20}\n", + "[2] Excluding 0 components: []\n", + "Applying ICA to Epochs instance\n", + " Transforming to ICA space (20 components)\n", + " Zeroing out 0 ICA components\n", + " Projecting back using 64 PCA components\n", + "[2] ICA applied: 14 epochs\n" ] - }, - { - "data": { - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, + } + ], + "source": [ + "# ICA + ICLabel pour chaque sujet\n", + "ica_models = {}\n", + "epochs_ica = {}\n", + "\n", + "for sid in epochs.keys():\n", + " print(f\"\\n[{sid}] Fitting ICA...\")\n", + " \n", + " # Créer et entraîner ICA\n", + " ica = ICA(\n", + " n_components=ICA_N_COMPONENTS,\n", + " method='infomax',\n", + " random_state=42,\n", + " max_iter='auto',\n", + " fit_params=dict(extended=True)\n", + " )\n", + " ica.fit(epochs_clean_ica[sid])\n", + " \n", + " # ICLabel classification\n", + " ic_labels = label_components(epochs_clean_ica[sid], ica, method='iclabel')\n", + " y_pred = np.array(ic_labels['y_pred_proba'])\n", + " probabilities = y_pred.max(axis=1) if y_pred.ndim > 1 else y_pred\n", + " \n", + " # Identifier les composantes à exclure\n", + " components_to_exclude = []\n", + " label_counts = {}\n", + " for i, (label, prob) in enumerate(zip(ic_labels['labels'], probabilities)):\n", + " label_counts[label] = label_counts.get(label, 0) + 1\n", + " if label != 'brain' and prob > ICA_EXCLUDE_THRESHOLD:\n", + " components_to_exclude.append(i)\n", + " \n", + " ica.exclude = components_to_exclude\n", + " ica_models[sid] = ica\n", + " \n", + " print(f\"[{sid}] Labels: {label_counts}\")\n", + " print(f\"[{sid}] Excluding {len(components_to_exclude)} components: {components_to_exclude}\")\n", + " \n", + " # Appliquer ICA sur les epochs filtrés\n", + " epochs_ica[sid] = ica.apply(epochs_clean_ica[sid].copy())\n", + " print(f\"[{sid}] ICA applied: {len(epochs_ica[sid])} epochs\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Second AutoReject (post-ICA)\n", + "\n", + "Nettoyage final après suppression des artefacts ICA :\n", + "\n", + "- **Objectif** : Éliminer les epochs restants avec des artefacts résiduels\n", + "- **Paramètres** : Identiques au premier AutoReject (consensus 30%)\n", + "- **Résultat** : Epochs prêts pour l'analyse hyperscanning" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "AutoReject completed.\n" + "\n", + "[1] AutoReject final (post-ICA)...\n", + "[1] would reject 0 / 14 epochs alone\n", + "\n", + "[2] AutoReject final (post-ICA)...\n", + "[2] would reject 0 / 14 epochs alone\n", + "\n", + "Jointly keeping 14 / 14 epochs\n", + "[1] final: 14\n", + "[2] final: 14\n" ] - }, - { - "data": { - "text/plain": [ - "
    " - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ - "# Apply local AutoReject on the ICA-cleaned epochs\n", - "cleaned_epochs_AR, dic_AR = prep.AR_local(\n", - " cleaned_epochs_ICA,\n", - " strategy=\"union\",\n", - " threshold=50.0,\n", - " verbose=True\n", - ")\n", - "print('AutoReject completed.')" + "from autoreject import AutoReject\n", + "import numpy as np\n", + "\n", + "# --- participants ---\n", + "sids = list(epochs_ica.keys())\n", + "assert len(sids) == 2, f\"Expected exactly 2 participants, got: {sids}\"\n", + "sid1, sid2 = sids[0], sids[1]\n", + "\n", + "e1 = epochs_ica[sid1]\n", + "e2 = epochs_ica[sid2]\n", + "\n", + "# --- (A) Align epochs by event onsets if needed (safe) ---\n", + "on1 = e1.events[:, 0]\n", + "on2 = e2.events[:, 0]\n", + "common = np.intersect1d(on1, on2)\n", + "\n", + "if len(common) == 0:\n", + " raise RuntimeError(\"No common epoch onsets between participants. Something upstream epoched/dropped differently.\")\n", + "\n", + "idx1 = np.where(np.isin(on1, common))[0]\n", + "idx2 = np.where(np.isin(on2, common))[0]\n", + "\n", + "e1 = e1[idx1]\n", + "e2 = e2[idx2]\n", + "\n", + "# Now epoch grid should match 1-to-1\n", + "assert len(e1) == len(e2), \"Still mismatched after alignment\"\n", + "assert np.array_equal(e1.events[:, 0], e2.events[:, 0]), \"Epochs still not aligned after alignment\"\n", + "\n", + "# --- (B) Run AutoReject separately to compute bad masks ---\n", + "reject_logs = {}\n", + "epochs_interp_tmp = {} # optional: interpolation only\n", + "\n", + "for sid, epo in [(sid1, e1), (sid2, e2)]:\n", + " print(f\"\\n[{sid}] AutoReject final (post-ICA)...\")\n", + "\n", + " ar = AutoReject(\n", + " n_interpolate=[1, 2, 4, 8],\n", + " consensus=[0.3],\n", + " random_state=42,\n", + " n_jobs=-1,\n", + " verbose=False,\n", + " )\n", + "\n", + " ar.fit(epo)\n", + "\n", + " reject_log = ar.get_reject_log(epo)\n", + " reject_logs[sid] = reject_log.bad_epochs.copy()\n", + "\n", + " # optional: apply interpolation (does not enforce joint dropping by itself)\n", + " epochs_interp_tmp[sid] = ar.transform(epo)\n", + "\n", + " n_rej = int(reject_logs[sid].sum())\n", + " print(f\"[{sid}] would reject {n_rej} / {len(epo)} epochs alone\")\n", + "\n", + "# --- (C) Joint rejection mask (reject if either is bad) ---\n", + "bad1 = reject_logs[sid1]\n", + "bad2 = reject_logs[sid2]\n", + "good = ~(bad1 | bad2)\n", + "\n", + "print(f\"\\nJointly keeping {good.sum()} / {len(good)} epochs\")\n", + "\n", + "# --- (D) Apply SAME epoch selection to both participants ---\n", + "epochs_clean_final = {\n", + " sid1: e1[good],\n", + " sid2: e2[good],\n", + "}\n", + "\n", + "print(f\"[{sid1}] final: {len(epochs_clean_final[sid1])}\")\n", + "print(f\"[{sid2}] final: {len(epochs_clean_final[sid2])}\")\n", + "\n", + "# Final alignment guarantee\n", + "assert np.array_equal(\n", + " epochs_clean_final[sid1].events[:, 0],\n", + " epochs_clean_final[sid2].events[:, 0]\n", + "), \"Final epochs not aligned (should not happen)\"" ] }, { "cell_type": "markdown", "metadata": { - "id": "yIzhL56sPBW7" + "id": "GhNB0IGwBIH7" }, "source": [ - "### Picking Preprocessed Epochs\n", + "## Setting Analysis Parameters\n", + "\n", + "We define the frequency bands used in the study. Here we use two bands within the Alpha range. We also use an `OrderedDict` to preserve the order of the bands.\n", "\n", - "After cleaning, we separate the preprocessed epochs for each participant for further analysis." + "# ***JS suggestions:***\n", + "- Could explain more why selected bands\n", + "- Unclear why OrderedDict." ] }, { "cell_type": "code", - "execution_count": null, + "execution_count": 46, + "metadata": { + "executionInfo": { + "elapsed": 155, + "status": "ok", + "timestamp": 1655930118883, + "user": { + "displayName": "Ghazaleh Ranjbaran", + "userId": "14731460719312051043" + }, + "user_tz": 240 + }, + "id": "Hra1lCwpBMmX" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Frequency bands: OrderedDict([('Alpha-Low', [7.5, 11]), ('Alpha-High', [11.5, 13])])\n" + ] + } + ], + "source": [ + "# Define frequency bands as a dictionary\n", + "freq_bands = {\n", + " 'Alpha-Low': [7.5, 11],\n", + " 'Alpha-High': [11.5, 13]\n", + "}\n", + "\n", + "# Convert to an OrderedDict to keep the defined order\n", + "freq_bands = OrderedDict(freq_bands)\n", + "print('Frequency bands:', freq_bands)" + ] + }, + { + "cell_type": "code", + "execution_count": 47, "metadata": { "executionInfo": { "elapsed": 177, @@ -1465,11 +1689,19 @@ }, "id": "gNHNKB0wPNOC" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Preprocessed epochs for both participants are ready.\n" + ] + } + ], "source": [ "# Assign cleaned epochs to individual participant variables\n", - "preproc_S1 = cleaned_epochs_AR[0]\n", - "preproc_S2 = cleaned_epochs_AR[1]\n", + "preproc_S1 = epochs_clean_final[1]\n", + "preproc_S2 = epochs_clean_final[2]\n", "print('Preprocessed epochs for both participants are ready.')" ] }, @@ -1486,7 +1718,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 48, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1504,7 +1736,17 @@ "id": "vYrIa3VrLtKu", "outputId": "b4bfbaa7-031c-4a54-ae3e-e55620bb9b94" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Effective window size : 2.000 (s)\n", + "Effective window size : 2.000 (s)\n", + "PSD analysis completed.\n" + ] + } + ], "source": [ "# Compute PSD for participant 1 in the Alpha-Low band\n", "psd1 = analyses.pow(\n", @@ -1549,7 +1791,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 49, "metadata": { "executionInfo": { "elapsed": 179, @@ -1563,7 +1805,15 @@ }, "id": "RhqMurdnMMHN" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Connectivity analysis completed.\n" + ] + } + ], "source": [ "# Prepare data for connectivity analysis (combine both participants)\n", "data_inter = np.array([preproc_S1, preproc_S2])\n", @@ -1636,7 +1886,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 50, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1654,7 +1904,18 @@ "id": "xz9Jme5wzPBc", "outputId": "dd400a32-52a2-4c02-d5b9-0c3157cf1e60" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Permuting 1 times (exact test)...\n", + "Permutation t-test completed.\n", + "Permuting 1 times (exact test)...\n", + "Statistical condition tuple computed.\n" + ] + } + ], "source": [ "# Compute mean PSD values for each channel across epochs for both participants\n", "psd1_mean = np.mean(psd1.psd, axis=1)\n", @@ -1697,7 +1958,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 51, "metadata": { "colab": { "base_uri": "https://localhost:8080/" @@ -1715,7 +1976,47 @@ "id": "kW_LW9hYzW03", "outputId": "d4816cab-e1dd-44f3-e553-25a1d1311836" }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Could not find a adjacency matrix for the data. Computing adjacency based on Delaunay triangulations.\n", + "-- number of adjacent vertices : 64\n", + "Using a threshold of 7.708647\n", + "stat_fun(H1): min=-4471481495421488.0 max=inf\n", + "Running initial clustering …\n", + "Found 1 cluster\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "c:\\Users\\Joaquim\\miniconda3\\envs\\hypyp-env\\Lib\\site-packages\\mne\\stats\\parametric.py:171: RuntimeWarning: divide by zero encountered in divide\n", + " f = msb / msw\n", + "c:\\Users\\Joaquim\\miniconda3\\envs\\hypyp-env\\Lib\\site-packages\\tqdm\\auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n", + " from .autonotebook import tqdm as notebook_tqdm\n", + " 0%| | Permuting : 0/4999 [00:00" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Sensor-level T-values plotted.\n" + ] + } + ], "source": [ "# Plot sensor-level T-values using the t-statistics computed earlier\n", "viz.plot_significant_sensors(\n", @@ -1931,7 +2309,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 55, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -1950,7 +2328,25 @@ "id": "ovHmQUiw0ii4", "outputId": "c58ac0c0-843b-4ee7-f8d7-e4120cb7b988" }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Significant sensors T-values plotted.\n" + ] + } + ], "source": [ "# Plot only the T-values for sensors that are statistically significant\n", "viz.plot_significant_sensors(\n", @@ -1969,31 +2365,7 @@ "### Visulization of inter-brain links projected\n", "on either 2D or 3D head models\n", "\n", - "It can be applied to Cohen’s D (C as done here) or statistical values (statscondCluster.F_obs or F_obs_plot) of inter-individual brain connectivity\n", - "\n", - "We can defining manually bad channel for viz test:" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "executionInfo": { - "elapsed": 142, - "status": "ok", - "timestamp": 1655930553054, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "TIDFZpMj0tYT" - }, - "outputs": [], - "source": [ - "epo1.info['bads'] = ['F8', 'Fp2', 'Cz', 'O2']\n", - "epo2.info['bads'] = ['F7', 'O1']" + "It can be applied to Cohen’s D (C as done here) or statistical values (statscondCluster.F_obs or F_obs_plot) of inter-individual brain connectivity" ] }, { @@ -2028,7 +2400,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 58, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -2047,9 +2419,30 @@ "id": "1-QkjyZ40_Rs", "outputId": "0b14a3f9-322f-4711-88b9-8fec96708826" }, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "viz.viz_2D_topomap_inter(epo1, epo2, C, threshold='auto', steps=10, lab=True)" + "viz.viz_2D_topomap_inter(epochs_a, epochs_b, C, threshold='auto', steps=10, lab=True)" ] }, { @@ -2072,7 +2465,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 59, "metadata": { "colab": { "base_uri": "https://localhost:8080/", @@ -2091,113 +2484,28 @@ "id": "EDB-5BukUQL1", "outputId": "479faa32-34e4-4482-a50b-90136f7ebf82" }, - "outputs": [], - "source": [ - "viz.viz_3D_inter(epo1, epo2, C, threshold='auto', steps=10, lab=False)\n", - "print('3D inter-brain connectivity visualization completed.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "2nqp2oLu1TkN" - }, - "source": [ - "#### Visualization of intra-brain connectivity in 2D" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "Mv-6VKM_56OE" - }, - "source": [ - "Intra-brain Hilbert-based connectivity" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 199 - }, - "executionInfo": { - "elapsed": 606, - "status": "ok", - "timestamp": 1655932584666, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" - }, - "user_tz": 240 - }, - "id": "9_6MkhjD1SqY", - "outputId": "fdd40d0e-4252-4628-ad78-65b78026f9cc" - }, - "outputs": [], - "source": [ - "viz.viz_2D_topomap_intra(epo1, epo2,\n", - " C1= result_intra[0],\n", - " C2= result_intra[1],\n", - " threshold='auto',\n", - " steps=2,\n", - " lab=False)\n", - "\n", - "print('2D intra-brain connectivity map plotted.')" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "-LNYHbm21a__" - }, - "source": [ - "#### Visualization of intra-brain connectivity in 3D" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "id": "xhxEcfMBU1Gw" - }, - "source": [ - "Intra-brain Hilbert-based connectivity" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 314 - }, - "executionInfo": { - "elapsed": 7843, - "status": "ok", - "timestamp": 1655932619684, - "user": { - "displayName": "Ghazaleh Ranjbaran", - "userId": "14731460719312051043" + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
    " + ] }, - "user_tz": 240 + "metadata": {}, + "output_type": "display_data" }, - "id": "_osUT5sk1fOQ", - "outputId": "d03b89fd-689f-4e52-90f4-fe817cdc0428" - }, - "outputs": [], + { + "name": "stdout", + "output_type": "stream", + "text": [ + "3D inter-brain connectivity visualization completed.\n" + ] + } + ], "source": [ - "viz.viz_3D_intra(epo1, epo2,\n", - " C1= result_intra[0],\n", - " C2= result_intra[1],\n", - " threshold='auto',\n", - " steps=10,\n", - " lab=False,\n", - " )\n", - "\n", - "print('3D intra-brain connectivity visualization completed.')" + "viz.viz_3D_inter(epochs_a, epochs_b, C, threshold='auto', steps=10, lab=False)\n", + "print('3D inter-brain connectivity visualization completed.')" ] } ], diff --git a/utils_eeg_simulations.py b/utils_eeg_simulations.py new file mode 100644 index 0000000..fb61241 --- /dev/null +++ b/utils_eeg_simulations.py @@ -0,0 +1,631 @@ +# utils_eeg_simulation.py +# Windows-safe + notebook-safe version (no hard-coded chdir, robust leadfield loading) + +from __future__ import annotations + +import os +from pathlib import Path +import numpy as np + +###############JO + +import numpy as np + +def epoch_continuous(data, srate, tmin=0.0, tmax=None, epoch_len=2.0, overlap=0.0, drop_last=True): + """ + data: (n_channels, n_times) + returns epochs: (n_epochs, n_channels, n_times_epoch) + """ + if data.ndim != 2: + raise ValueError("data must be (n_channels, n_times)") + n_ch, n_t = data.shape + + if tmax is None: + tmax = n_t / srate + + start_samp = int(round(tmin * srate)) + stop_samp = int(round(tmax * srate)) + stop_samp = min(stop_samp, n_t) + + win = int(round(epoch_len * srate)) + if win <= 0: + raise ValueError("epoch_len too small") + + step = int(round((epoch_len - overlap) * srate)) + if step <= 0: + raise ValueError("overlap must be < epoch_len") + + starts = np.arange(start_samp, stop_samp - win + 1, step, dtype=int) + + # If you want to keep a trailing partial epoch: + if not drop_last and (len(starts) == 0 or starts[-1] + win < stop_samp): + last_start = stop_samp - win + if last_start > start_samp: + starts = np.append(starts, last_start) + + epochs = np.stack([data[:, s:s+win] for s in starts], axis=0) + times = np.arange(win) / srate # relative time within epoch + return epochs, times, starts + + +# ============================================================ +# Helpers: paths + leadfield loader (works in .py and .ipynb) +# ============================================================ + +def _here() -> Path: + """Directory of this file; falls back to current working dir in notebooks.""" + try: + return Path(__file__).resolve().parent + except NameError: + return Path.cwd() + + +def load_leadfield_mat(lf_path: str | os.PathLike | None = None, + filename: str = "If_gain.mat") -> dict: + """ + Load a leadfield mat file (Cohen-style If_gain.mat). + + Priority: + 1) lf_path (explicit) + 2) common project-relative locations + 3) current working directory + """ + from scipy.io import loadmat + + if lf_path is not None: + p = Path(lf_path).expanduser().resolve() + if not p.exists(): + raise FileNotFoundError(f"Leadfield file not found: {p}") + return loadmat(str(p)) + + base = _here() + + candidates = [ + base / filename, + base / "data" / filename, + base / ".." / "data" / filename, + Path.cwd() / filename, + Path.cwd() / "data" / filename, + ] + + for p in candidates: + p = p.resolve() + if p.exists(): + return loadmat(str(p)) + + raise FileNotFoundError( + f"Could not find {filename}. Tried:\n" + "\n".join(str(c) for c in candidates) + ) + + +# Try to load a default leadfield once (non-fatal: only used if caller passes lf_mat=None) +try: + lf_mat_default = load_leadfield_mat() +except Exception: + lf_mat_default = None + + +# ============================================================ +# Simple sine simulators +# ============================================================ + +def calc_srate(samp_factor: int, freq: int) -> int: + """Calculate sampling rate according to Nyquist frequency.""" + return 2 * freq * samp_factor + + +def sinewave_single_freq(srate: int, duration: float, noise_level: float, freq: int): + """Simulate sine wave for a single frequency.""" + time_vec = np.arange(0, duration, 1 / srate) + sinewave = np.sin(2 * np.pi * freq * time_vec) + noise = noise_level * np.random.randn(len(time_vec)) + signal = sinewave + noise + return signal, time_vec + + +def sinewave_multi_freq(srate: int, duration: float, noise_level: float, freqs: list): + """ + Simulate sine wave with multiple frequencies. + Returns combined sine wave + Gaussian noise. + """ + time_vec = np.arange(0, duration, 1 / srate) + signal = np.zeros(len(time_vec)) + for freq in freqs: + signal += np.sin(2 * np.pi * freq * time_vec) + signal += noise_level * np.random.randn(len(time_vec)) + return signal, time_vec + + +# ============================================================ +# Cohen-style EEG simulation (1/f + transient bursts) +# ============================================================ + +def simulate_eeg_cohen(duration: int, + srate: int, + n_channels: int, + noise_level: float, + bands=None, + n_bursts=3, + amp_jitter=0.25, + width_jitter=0.25, + white_level=0.0, + seed=None): + """ + Adapted MX Cohen method with physiologically realistic oscillations + Reference: Cohen, M. X. (2014). Analyzing Neural Time Series Data. MIT Press. + """ + if seed is not None: + np.random.seed(seed) + + if bands is None: + bands = { + 'theta': (4, 7, 1.5, 0.4, 1.5), + 'alpha': (8, 12, 2.5, 0.5, 2.0), + 'beta': (13, 30, 3.5, 0.3, 1.0), + } + + num_pnts = int(duration * srate) + time = np.arange(num_pnts) / srate + eeg_data = np.zeros((n_channels, num_pnts)) + + freqs = np.fft.fftfreq(num_pnts, 1 / srate) + freq_mag = np.abs(freqs) + 0.001 # avoid divide-by-zero + + for chani in range(n_channels): + real_part = np.random.randn(num_pnts) + imag_part = np.random.randn(num_pnts) + fft_signal = real_part + (1j * imag_part) + + fft_signal = fft_signal / freq_mag + fft_signal[0] = 0 + + half = int(np.floor(num_pnts / 2)) + if (num_pnts % 2) == 0: + fft_signal[half] = np.real(fft_signal[half]) + fft_signal[-half + 1:] = np.conj(fft_signal[1:half][::-1]) + + background = np.real(np.fft.ifft(fft_signal)) + background = background / np.std(background) + + clean_signal = np.zeros(num_pnts) + + for bandi, (low_freq, high_freq, center, width, amplitude) in bands.items(): + if isinstance(n_bursts, dict): + num_bursts = int(n_bursts.get(bandi, 1)) + else: + num_bursts = int(n_bursts) + + for _ in range(num_bursts): + osc_freq = np.random.uniform(low_freq, high_freq) + osc_center = np.random.uniform(time[0], time[-1]) + + osc_width = width * (1 + width_jitter * np.random.randn()) + if osc_width <= 0: + osc_width = width + + osc_amp = amplitude * (1 + amp_jitter * np.random.randn()) + osc_pure = np.sin(2 * np.pi * osc_freq * time) + + taper = np.exp(-((time - osc_center) ** 2) / osc_width) + clean_signal += osc_pure * taper * osc_amp + + noise_white = white_level * np.random.randn(num_pnts) + signal = (background * noise_level) + clean_signal + noise_white + eeg_data[chani] = signal + + freqs_psd = np.arange(half + 1) * (srate / num_pnts) + psd = np.zeros((n_channels, half + 1)) + for chani in range(n_channels): + data_demeaned = eeg_data[chani] - np.mean(eeg_data[chani]) + data_freq_domain = np.fft.fft(data_demeaned) + power_spect = (np.abs(data_freq_domain) ** 2) / num_pnts + psd[chani] = power_spect[0:half + 1] + + if n_channels == 1: + return eeg_data[0], time, freqs_psd, psd[0] + return eeg_data, time, freqs_psd, psd + + +# ============================================================ +# PAC dipole simulation projected through leadfield +# ============================================================ + +def simulate_eeg_pac_dipoles(lf_mat=None, + srate=500, + duration=30, + ch_names=None, + orient=0, + dipoles=None, + theta_freq=6.0, + gamma_freqs=(45.0, 55.0), + coupling_percent=0.5, + noise_level_eeg=0.0, + noise_level_sources=1.0, + white_level_sources=0.0, + corr_strength=0.95, + seed=None): + """ + Simulate EEG from dipole/source time series projected through a leadfield. + Cohen MX (2017) eLife. + + lf_mat can be: + - None -> uses lf_mat_default if found + - path string / Path to If_gain.mat + - loaded dict from scipy.io.loadmat + """ + from scipy import signal + from scipy.io import loadmat as _loadmat + + # Resolve lf_mat + if lf_mat is None: + if lf_mat_default is None: + raise FileNotFoundError( + "Leadfield not provided and default If_gain.mat not found.\n" + "Place If_gain.mat in ./data/ or pass lf_mat as a path or loaded dict." + ) + lf_mat_local = lf_mat_default + elif isinstance(lf_mat, (str, os.PathLike)): + lf_mat_local = _loadmat(str(lf_mat)) + else: + lf_mat_local = lf_mat + + lf_gain = np.asarray(lf_mat_local["lf"][0, 0]["Gain"]) + if lf_gain.ndim == 3: + if orient < 0 or orient >= lf_gain.shape[1]: + raise ValueError(f"orient must be 0..{lf_gain.shape[1]-1}") + Gain = lf_gain[:, orient, :] + elif lf_gain.ndim == 2: + Gain = lf_gain + else: + raise ValueError("lf_gain must be 2D (chans,sources) or 3D (chans,orient,sources)") + + n_channels, n_sources = Gain.shape + num_pnts = int(duration * srate) + time = np.arange(num_pnts) / srate + + def bandpass(x_vals, cut_low, cut_high, srate): + nyq = srate / 2.0 + if cut_low <= 0 or cut_high >= nyq or cut_low >= cut_high: + raise ValueError("Require 0 < cut_low < cut_high < srate/2") + b, a = signal.butter(2, [cut_low / nyq, cut_high / nyq], btype="band") + return signal.filtfilt(b, a, x_vals) + + if seed is not None: + np.random.seed(seed) + + if dipoles is None: + dipoles = {'theta': 93, 'gamma1': 108, 'gamma2': 110, 'gamma3': 115} + + # Correlated source noise + corr_mat = np.random.rand(n_sources, n_sources) + corr_mat = corr_mat @ corr_mat.T + corr_mat = corr_mat / np.max(corr_mat) + corr_mat = corr_strength * corr_mat + np.fill_diagonal(corr_mat, 1.0) + + evals, evecs = np.linalg.eigh(corr_mat) + evals[evals < 0] = 0 + mixing_mat = evecs @ np.sqrt(np.diag(evals)) + + base = np.random.randn(n_sources, num_pnts) + sources = mixing_mat @ base + sources = sources / np.std(sources) + sources *= noise_level_sources + + if white_level_sources != 0: + sources += white_level_sources * np.random.randn(n_sources, num_pnts) + + # Theta oscillator with modulation + modulation_amp = bandpass(np.random.randn(num_pnts), 1, 30, srate) + modulation_freq = bandpass(np.random.randn(num_pnts), 1, 30, srate) + modulation_amp = modulation_amp / np.std(modulation_amp) + modulation_freq = signal.detrend(modulation_freq) + + theta_amp = 8.0 + (15.0 * modulation_amp) + freq_mod = 15.0 * modulation_freq + theta_phase = (2 * np.pi * theta_freq * time) + ((2 * np.pi / srate) * np.cumsum(freq_mod)) + theta_wave = theta_amp * np.sin(theta_phase) + + # Coupling windows (1 sec) + coupling_mask = np.zeros(num_pnts) + window_samples = int(srate) + n_windows = int(duration * coupling_percent) + for _ in range(n_windows): + start = np.random.randint(0, num_pnts - window_samples) + coupling_mask[start:start + window_samples] = 1.0 + + # PAC gamma + theta_phase_inst = np.angle(signal.hilbert(theta_wave)) + theta_env = ((1.0 + np.cos(theta_phase_inst)) / 2.0) + theta_env = (0.9 * theta_env) ** 4 + theta_env *= coupling_mask + + noise_factor = 0.3 * np.random.randn(num_pnts) + gamma1 = theta_env * np.sin(2 * np.pi * gamma_freqs[0] * time) * (1.0 + noise_factor) + gamma2 = np.sin(2 * np.pi * gamma_freqs[1] * time) * (1.0 + noise_factor) + + i_theta = int(dipoles['theta']) + i_g1 = int(dipoles['gamma1']) + i_g2 = int(dipoles['gamma2']) + + sources[i_theta, :] += theta_wave + sources[i_g1, :] += gamma1 + sources[i_g2, :] += gamma2 + + if 'gamma3' in dipoles: + i_g3 = int(dipoles['gamma3']) + sources[int(i_g3), :] += gamma1 + + data_eeg = Gain @ sources + + if noise_level_eeg != 0: + data_eeg += noise_level_eeg * np.random.randn(n_channels, num_pnts) + + # Identify PAC channels (heuristic) + theta_proj = np.abs(Gain[:, i_theta]) + gamma_proj = np.zeros(n_channels) + + gamma_ids = [i_g1, i_g2] + if 'gamma3' in dipoles: + gamma_ids.append(int(dipoles['gamma3'])) + + for gi in gamma_ids: + gamma_proj += np.abs(Gain[:, gi]) + + theta_proj /= np.max(theta_proj) + gamma_proj /= np.max(gamma_proj) + + pac_channels = np.where((theta_proj > 0.6) & (gamma_proj > 0.6))[0] + return data_eeg, time, sources, coupling_mask, pac_channels + + +# ============================================================ +# Advanced phase reset simulation +# ============================================================ + +def sinewave_multifreq_advanced_reset(srate: int, + duration: float, + noise_level: float, + freqs: list, + reset_times: list, + reset_strengths: list, + freq_specific_resets: bool = False): + """ + Advanced phase reset simulation with frequency-specific control. + """ + time_vec = np.arange(0, duration, 1 / srate) + n_samples = len(time_vec) + + signal = np.zeros(n_samples) + phase_history = np.zeros((n_samples, len(freqs))) + + reset_indices = [int(t * srate) for t in reset_times] + current_phases = np.zeros(len(freqs)) + + # For speed: make dict from index->reset_idx + reset_map = {idx: k for k, idx in enumerate(reset_indices)} + + for i, t in enumerate(time_vec): + if i in reset_map: + reset_idx = reset_map[i] + if freq_specific_resets: + for j in range(len(freqs)): + current_phases[j] += reset_strengths[reset_idx][j] + else: + current_phases += reset_strengths[reset_idx] + + for j, freq in enumerate(freqs): + signal[i] += np.sin(2 * np.pi * freq * t + current_phases[j]) + phase_history[i, j] = current_phases[j] + + signal += noise_level * np.random.randn(n_samples) + return signal, time_vec, phase_history + + +# ============================================================ +# Hyperscanning EEG simulation with shared drive (no chdir) +# ============================================================ + +def simulate_hyperscanning_eeg_shared_drive(lf_mat, + srate=500, + duration=30, + theta_freq=6.0, + gamma_freqs=(45.0, 55.0), + dipoles=None, + coupling_percent=0.5, + coupling_strength_A=1.0, + coupling_strength_B=1.0, + coupling_delay_B_sec=0.0, + noise_level_sources=1.0, + white_level_sources=0.0, + noise_level_eeg=0.0, + corr_strength=0.95, + orient=0, + seed=None): + """ + Hyperscanning EEG simulation with shared task drive. + Output dict: eeg_a, eeg_b, sources_a, sources_b, shared_drive, time + """ + from scipy import signal + + def perturb_gain(Gain, rel_std=0.02, seed=None): + rng = np.random.default_rng(seed) + scaling = 1.0 + (rel_std * rng.standard_normal(Gain.shape[1])) + return Gain * scaling[np.newaxis, :] + + def correlated_sources(n_sources, n_pnts): + corr = np.random.rand(n_sources, n_sources) + corr = corr @ corr.T + corr = corr / np.max(corr) + corr = corr_strength * corr + np.fill_diagonal(corr, 1.0) + + evals, evecs = np.linalg.eigh(corr) + evals[evals < 0] = 0 + mix = evecs @ np.sqrt(np.diag(evals)) + + base = np.random.randn(n_sources, n_pnts) + src = mix @ base + + stdv = np.std(src) + if stdv > 0: + src /= stdv + + src *= noise_level_sources + if white_level_sources > 0: + src += white_level_sources * np.random.randn(n_sources, n_pnts) + return src + + if seed is not None: + np.random.seed(seed) + + # Dipole jitter + if dipoles is None: + range_val = 2 + jitter = np.random.randint(-range_val, range_val + 1, size=3) + dipoles = { + 'theta': 93 + jitter[0], + 'gamma1': 108 + jitter[1], + 'gamma2': 110 + jitter[2], + } + + n_pnts = int(duration * srate) + time = np.arange(n_pnts) / srate + + win = int(srate) + n_win = int(duration * coupling_percent) + + coupling_mask = np.zeros(n_pnts) + for _ in range(n_win): + i0 = np.random.randint(0, n_pnts - win) + coupling_mask[i0:i0 + win] = 1.0 + + # Shared slow envelope + shared_env = signal.filtfilt( + *signal.butter(2, [1 / (srate / 2), 30 / (srate / 2)], btype='band'), + np.random.randn(n_pnts) + ) + stdv = np.std(shared_env) + if stdv > 0: + shared_env /= stdv + shared_env *= coupling_mask + + def participant_env(scale, delay_sec): + shift = int(delay_sec * srate) + env = np.roll(shared_env, shift) + return scale * env + + def theta_wave(): + modulation = signal.detrend( + signal.filtfilt( + *signal.butter(2, [1 / (srate / 2), 30 / (srate / 2)], btype='band'), + np.random.randn(n_pnts) + ) + ) + phase = (2 * np.pi * theta_freq * time + + (2 * np.pi / srate) * np.cumsum(15 * modulation)) + amplitude = 8 + 15 * (modulation / np.std(modulation)) + theta_amp = amplitude * np.sin(phase) + theta_phase = np.angle(signal.hilbert(np.sin(phase))) + return theta_amp, theta_phase + + def gamma(theta_phase, envelope): + tp = (1 + np.cos(theta_phase)) / 2 + phase_env = tp ** 4 + return envelope * phase_env * np.sin(2 * np.pi * gamma_freqs[0] * time) + + env_A = participant_env(coupling_strength_A, 0.0) + env_B = participant_env(coupling_strength_B, coupling_delay_B_sec) + + theta_A, phase_A = theta_wave() + theta_B, phase_B = theta_wave() + + gamma_A = gamma(phase_A, env_A) + gamma_B = gamma(phase_B, env_B) + + # Gain + lf_gain = np.asarray(lf_mat["lf"][0, 0]["Gain"]) + if lf_gain.ndim != 3: + raise ValueError("Expected lf_mat['lf'][0,0]['Gain'] to be 3D (chans, orient, sources).") + Gain_A = lf_gain[:, orient, :] + + seed_gain = None if seed is None else seed + 1 + Gain_B = perturb_gain(Gain_A, rel_std=0.02, seed=seed_gain) + + n_channels, n_sources = Gain_A.shape + + src_a = correlated_sources(n_sources, n_pnts) + src_b = correlated_sources(n_sources, n_pnts) + + i_t = int(dipoles['theta']) + i_g = int(dipoles['gamma1']) + + src_a[i_t] += theta_A + src_a[i_g] += gamma_A + + src_b[i_t] += theta_B + src_b[i_g] += gamma_B + + eeg_a = Gain_A @ src_a + eeg_b = Gain_B @ src_b + + if noise_level_eeg > 0: + eeg_a += noise_level_eeg * np.random.randn(*eeg_a.shape) + eeg_b += noise_level_eeg * np.random.randn(*eeg_b.shape) + + return { + "eeg_a": eeg_a, + "eeg_b": eeg_b, + "sources_a": src_a, + "sources_b": src_b, + "shared_drive": shared_env, + "time": time, + } + + +# ============================================================ +# Demo (only runs if you execute this file directly) +# ============================================================ + +if __name__ == "__main__": + import matplotlib.pyplot as plt + + # Load leadfield (auto-search) + if lf_mat_default is None: + raise FileNotFoundError( + "If_gain.mat not found. Put it in BrainHack\\data\\If_gain.mat " + "or pass an explicit path to load_leadfield_mat()." + ) + lf_mat = lf_mat_default + + output = simulate_hyperscanning_eeg_shared_drive( + lf_mat, + srate=500, + duration=30, + theta_freq=6.0, + gamma_freqs=(45.0, 55.0), + dipoles=None, + coupling_percent=0.5, + coupling_strength_A=1.0, + coupling_strength_B=1.0, + coupling_delay_B_sec=0.2, + noise_level_sources=1.0, + white_level_sources=0.5, + noise_level_eeg=0.5, + corr_strength=0.95, + orient=0, + seed=None + ) + + channel = 0 + t = output["time"] + + plt.figure() + plt.plot(t, output["eeg_a"][channel], label="Participant A") + plt.plot(t, output["eeg_b"][channel], label="Participant B", alpha=0.7) + plt.xlim(5, 6) + plt.xlabel("Time (s)") + plt.ylabel("Amplitude") + plt.legend() + plt.title(f"EEG channel {channel}") + plt.show() From 4dfa402569d4ecfcb71da17aa9e06bcb5ecd3aac Mon Sep 17 00:00:00 2001 From: JoaquimStr Date: Fri, 30 Jan 2026 15:24:52 -0500 Subject: [PATCH 6/6] final updates before pulling request --- getting_started_merged.ipynb | 9 +++------ 1 file changed, 3 insertions(+), 6 deletions(-) diff --git a/getting_started_merged.ipynb b/getting_started_merged.ipynb index 552c117..993590a 100644 --- a/getting_started_merged.ipynb +++ b/getting_started_merged.ipynb @@ -42,13 +42,11 @@ "Main changes include:\n", "1. Using simulated synchronized data from Annemarie instead of imported non-hyperscanning data.\n", "2. The preprocessing steps, including the ICA, has been simplified so that the user does not have to manually select anything.\n", - "3. I added some visualizatiopn steps and further explanations and ressources to make sure the user understands the main concepts, most notably: imaginary coherence, connectivity metrics, etc.\n", "\n", "## To do from there:\n", "1. Make sure simulated data, montage attribution, and preprocessing steps lead to tangible results for user.\n", "2. Replace stats with UCLA workshop ones.\n", - "3. Explanations and instructions in greater detail.\n", - "4. Explain 9 possible metrics (2 sentences)." + "3. Add some visualization steps and further explanations and ressources to make sure the user understands the main concepts, most notably: imaginary coherence, connectivity metrics, etc. -- explain 9 possible metrics in 2 sentences." ] }, { @@ -395,7 +393,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### ...and plot two channels." + "### ...and plot two example channels." ] }, { @@ -1632,8 +1630,7 @@ "We define the frequency bands used in the study. Here we use two bands within the Alpha range. We also use an `OrderedDict` to preserve the order of the bands.\n", "\n", "# ***JS suggestions:***\n", - "- Could explain more why selected bands\n", - "- Unclear why OrderedDict." + "- Could explain more why selected bands" ] }, {

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